diff --git a/.github/lock.yml b/.github/lock.yml deleted file mode 100644 index 282235ca2..000000000 --- a/.github/lock.yml +++ /dev/null @@ -1,34 +0,0 @@ -# Configuration for lock-threads - https://github.com/dessant/lock-threads - -# Number of days of inactivity before a closed issue or pull request is locked -daysUntilLock: 30 - -# Issues and pull requests with these labels will not be locked. Set to `[]` to disable -exemptLabels: [] - -# Label to add before locking, such as `outdated`. Set to `false` to disable -lockLabel: false - -# Comment to post before locking. Set to `false` to disable -lockComment: > - This thread has been automatically locked since there has not been - any recent activity after it was closed. Please open a new issue for - related bugs. - -# Assign `resolved` as the reason for locking. Set to `false` to disable -setLockReason: false - -# Limit to only `issues` or `pulls` -only: issues - -# Optionally, specify configuration settings just for `issues` or `pulls` -# issues: -# exemptLabels: -# - help-wanted -# lockLabel: outdated - -# pulls: -# daysUntilLock: 30 - -# Repository to extend settings from -# _extends: repo \ No newline at end of file diff --git a/nd4j/ADRs/0001-SameDiff_File_Format.md b/ADRs/0001-SameDiff_File_Format.md similarity index 100% rename from nd4j/ADRs/0001-SameDiff_File_Format.md rename to ADRs/0001-SameDiff_File_Format.md diff --git a/ADRs/0002-ONNX_Runtime.md b/ADRs/0002-ONNX_Runtime.md new file mode 100644 index 000000000..bb22d0cec --- /dev/null +++ b/ADRs/0002-ONNX_Runtime.md @@ -0,0 +1,58 @@ +# Onnx runtime module + +## Status +Proposed + +Proposed by: Adam Gibson (23-09-2020) + +Discussed with: saudet + +## Context + +We need a way of providing nd4j a way of running onnx modules +that is easily compatible with the onnx community. The gold standard for this +is is using [onnxruntime](https://github.com/microsoft/onnxruntime/blob/master/docs/Java_API.md). + + +## Decision + +We will use javacpp's onnxruntime bindings in a similar manner to [nd4j-tensorflow](../nd4j-tensorflow) +allowing nd4j to be used as an ndarray format that interops with onnxruntime. + +We will implement a simple api similar to the [GraphRunner](../nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunner.java) +This will sit on top of javacpp's lower level onnxruntime bindings. + +This module will follow a similar structure to the nd4j-tensorflow module +focusing on INDArrays as a data interchange format, but otherwise pass execution +down to onnxruntime. + + +The main api to the graph runner works as follows: + +```java +try(GraphRunner runner = new GraphRunner(...)) { + Map inputs = new HashMap<>(); + // ..initialize inputs + Map outputs = runner.run(inputs); +// process outputs... +} +``` + +The core logic will contain the following components: + +1. Loading onnx pb files +2. A graph runner in similar nature to nd4j-tensorflow +3. Interop with onnxruntime's version of an ndarray/tensor + +Using different accelerators/backends +----------------------------------------- + +Similar to nd4j-tensorflow which uses javacpp for the specific version of +tensorflow to use, this module will rely on the user picking the right dependency +to link against. Different builds of cpu, gpu, .. exist [here](https://repo1.maven.org/maven2/org/bytedeco/tensorflow/1.15.3-1.5.4/) +The equivalent of this in onnxruntime can be found [here](https://repo1.maven.org/maven2/org/bytedeco/onnxruntime/1.4.0-1.5.4/) + +The user will need to include the version of onnxruntime they wish to use +similar to how you link against a particular implementation in a c library +or include a backend in nd4j. This will happen via maven. + diff --git a/ADRs/0003-Import_IR.md b/ADRs/0003-Import_IR.md new file mode 100644 index 000000000..eef7a789a --- /dev/null +++ b/ADRs/0003-Import_IR.md @@ -0,0 +1,251 @@ +# Import IR + +## Status + +Proposed + +Proposed by: Adam Gibson (28-09-2020) + +Discussed with: Paul Dubs + +## Context + +Currently, there is a gap in the way samediff/nd4j operations are implemented +vs. how other frameworks represent their models. + +Keras, Tensorflow, and Pytorch use an attribute based format with names. Interop +between Onnx ,Tensorflow, and Keras tends to follow the following formula: + +1. Map names to equivalent names in the other framework for each operation + configuration. Names being both op names and associated attributes of the + operations such as in Conv2D where you have strides, kernel sizes. +2. Map input/output tensors to the equivalent tensor type in each framework. +3. Setup the complete graph in the equivalent framework. Sometimes the + framework's concepts don't map 1 to 1. They should output equivalent results + regardless though. In order to do this, sometimes the framework needs to + add/remove operations in order to produce equivalent output in a different + graph. The [tensorflow onnx import](https://github.com/onnx/tensorflow-onnx#how-tf2onnx-works) + is a good example of this. + +Samediff/nd4j have their internal op representations as a set of ordered +arguments for execution in the form of: + +1. t arguments: floating point arguments (float, double,..) +2. integer arguments: integer arguments (long, integer) +3. boolean argument: boolean arguments +4. data type arguments: data types for input/output +5. input arguments: ndarrays for input +6. output arguments: often optional (dynamically created) output ndarray + arguments. If the user wants to pass in outputs to control memory, they are + allowed to do so. +7. axis arguments: Integer arguments that represent the dimension(s) for an + operation to be executed on. + +[Reference implementation](https://github.com/KonduitAI/deeplearning4j/blob/master/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/DynamicCustomOp.java#L58) + +This maps well enough for execution, but not for file formats. + +## Related Work +This may encourage future work to be done to the +[samediff file format](https://github.com/KonduitAI/deeplearning4j/blob/master/nd4j/ADRs/0001-SameDiff_File_Format.md). +Implementation of serialization of file format via flatbuffers can be found +[here](https://github.com/eclipse/deeplearning4j/blob/master/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiff.java#L4748) +Of note here for prior work is the +[current code generation] +(https://github.com/KonduitAI/dl4j-dev-tools/blob/master/codegen/src/main/ops/org/nd4j/codegen/ops/CNN.kt#L28) + +The definitions for the kotlin dsl can be found +[here](https://github.com/KonduitAI/dl4j-dev-tools/blob/master/codegen/src/main/kotlin/org/nd4j/codegen/dsl/OpBuilder.kt) + + +While it does have the intended description, +it’s kotlin specific and is only available for a very small subset +of the ops where pre-created objects were created +for specific operations. The goal of this ADR is to expand upon +that and make it language agnostic by providing this information in a + neutral file format that has code generation with it. + +Current code generation efforts can be augmented using this file format. +More on this decision making can be found [here](https://github.com/KonduitAI/dl4j-dev-tools/blob/master/codegen/adr/0007-configuration_objects.md) + + + +## Proposal + +We expose a symbol based mapping in libnd4j in protobuf format, similar to how +other frameworks are doing it, as a bridge/intermediary format. + +This makes it easier to implement interop with the other frameworks, because it +adds the necessary information that is needed to be able to define a direct +mapping. + +This could be a future file format depending on how the framework evolves. For +now, this is considered a work around for making writing import code easier/more +portable. + +Similar to [ONNX](https://onnx.ai/) and [Tensorflow](https://tensorflow.org/) +we use protobuf to express an attribute based file format and map +samediff/nd4j operations to this format. + +We use a translation layer that handles mapping from attributes to the ordered +arguments approach reflected in samediff/nd4j. + +For each operation, we define a mapping process to/from this attribute format to the +order based execution format. + +A separate but similar set of rules are used for mapping ndarrays. + +This attribute based format is an Intermediary Representation that we then +"compile" to the equivalent calls in libnd4j. + + +The format definitions for the IR can be found [here](./src/main/proto/nd4j/nd4j.proto) + +## Consequences + +Migration to an attribute based import format makes working with other deep +learning frameworks easier in the future. + + +### Drawbacks + +1. Yet another file format. +2. Risk migrating to new file format in the future. +3. A lot of up front manual work to index set of current operations. +4. Backwards compatibility: yet another thing to maintain. We wrote converters + for any forward compatibility. We address this by specifying an opset schema + scheme similar to onnx. + +### Advantages + +1. Easy to maintain. +2. Backwards compatible. +3. Easily interops with existing other deep learning frameworks. +4. No additional dependencies from what's already normal. +5. Protobuf allows easy code generation for other languages. +6. Industry standard conventions being used over proprietary tooling reducing + friction for adoption for people coming from other frameworks +7. Straightforward mapping of arguments for import +8. Provide an easy bridge to existing libnd4j +9. Allow automation of op descriptors in any language that would understand how + to pass data to the c++ library. + + +## Appendix A: Comparison with other Frameworks, implicit vs. explicit + +We can find the existing attributes from the conventions of the +libnd4j code base. The libnd4j [conv1d.cpp](https://github.com/KonduitAI/deeplearning4j/blob/master/libnd4j/include/ops/declarable/generic/nn/convo/conv1d.cpp#L104) +file contains the following declaration: + +``` +auto inputShapeInfo = inputShape->at(0); +auto weightsShapeInfo = inputShape->at(1); +Nd4jLong const* biasShapeInfo = block.width() > 2 ? inputShape->at(2) : nullptr; + +int kW = INT_ARG(0) > 0 ? INT_ARG(0) : static_cast(shape::sizeAt(weightsShapeInfo, 0)); // filter(kernel) width +int sW = INT_ARG(1); // strides width +int pW = INT_ARG(2); // paddings width +int dW = INT_ARG(3); // dilations width +int paddingMode = INT_ARG(4); // 0-VALID, 1-SAME +int isNCW = block.getIArguments()->size() > 5 ? !INT_ARG(5) : 1; // INT_ARG(4): 1-NWC, 0-NCW +int wFormat = block.getIArguments()->size() > 6 ? INT_ARG(6) : 0; // 0 - [kW, iC, oC], 1 - [oC, iC, kW], 2 - [oC, kW, iC] +``` + +We can see that there are macros in the libnd4j code base, which reflect how +each argument is accessed. Each list of arguments has an expected order, that we +need to explicitly map to a parseable structure. + +In comparison, the +[onnx Convolution operator](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv) +has *explicit* attributes of various types such as lists of ints and named +tensors. + +As shown above, these concepts exist internally in the operations and layers +themselves in nd4j/samediff, but they are not exposed directly to the user. + + +A theoretical op descriptor from libnd4j is as follows: +```java + private String name; + private int nIn,nOut,tArgs,iArgs; + private boolean inplaceAble; + private List inArgNames; + private List outArgNames; + private List tArgNames; + private List iArgNames; + private List bArgNames; + private OpDeclarationType opDeclarationType; + + public enum OpDeclarationType { + CUSTOM_OP_IMPL, + BOOLEAN_OP_IMPL, + LIST_OP_IMPL, + LOGIC_OP_IMPL, + OP_IMPL, + DIVERGENT_OP_IMPL, + CONFIGURABLE_OP_IMPL, + REDUCTION_OP_IMPL, + BROADCASTABLE_OP_IMPL, + BROADCASTABLE_BOOL_OP_IMPL + } +``` + +It contains all the op declarations and fields associated with a descriptor. + +In the libnd4j code base, we represent the op descriptor types above +*implicitly* through validation as well as the different macros present in the +code base representing what an op execution looks like. + +Validation for what can be present in the various names can be found +[here](https://github.com/KonduitAI/deeplearning4j/blob/master/libnd4j/include/ops/declarable/impl/DeclarableOp.cpp#L734-L765) + +The set of macro declarations in libnd4j can be found +[here](https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/include/system/op_boilerplate.h) + + +## Appendix B: Format Comparison to other frameworks + +An add op in tensorflow looks like: + +``` +op { + name: "Add" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_BFLOAT16 + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_STRING + } + } + } +} +``` + +Onnx’s add can be found here +https://github.com/onnx/onnx/blob/master/docs/Operators.md#Add + +Onnx and tensorflow are purely attribute based formats. diff --git a/ADRs/0003-NdArray_Strides_ArmCompute.md b/ADRs/0003-NdArray_Strides_ArmCompute.md new file mode 100644 index 000000000..02e3b2a34 --- /dev/null +++ b/ADRs/0003-NdArray_Strides_ArmCompute.md @@ -0,0 +1,196 @@ + + +# Libnd4j NdArray padded buffers, strides for Arm_Compute Library wrapper + +## Status +PROPOSED + +Proposed by: Abdelrauf (23/09/2020) + +Discussed with: + +## Context +During the integration process of our library with arm_compute, I faced that our NdArray strides are not flexible. (i.e it cant be set properly without **special and manual handling**). +Let's say our Nd Array shapes are `[3,4,2]` and the last index is moving faster (i.e C order). Then our strides will be `[ 8, 2, 1 ]`. +As far as I know, our last index stride can be different (called as ews), but overall strides should follow the cyclic strict rule of dependency.: + + strides[index-1] = strides[index] * shapes[index]; +On arm_compute besides strides there is also Padding `{top, right, bottom, left}` that can be used to increase strides and change offsets adn as well as total size. its mostly done for performance reasons. As from above we can see that **its just hosting NdArray shape in the buffer of the bigger NdArray shape**. In arm_compute those paddings applied to last 2 dimensions (on NCHW it will be H and W}. We can define it like this: + + newH = pad.top + H + pad.bottom; + newW = pad.left + W + pad.right; + +so strides will be calculated for the shape `{N,C, newH, newW}` and offset of the first element will be: + + offset = pad.left * strideOfNewW + pad.top * strideOfNewH + + +## Proposal +Introduce helper functions checking below case : + + strides[index-1] >= strides[index] * shapes[index]; + +Add **generic method for the padded buffer** ( we can simulate arm_compute 2d padding and more) + + int paddings[rank] = {...}; // total padding + int paddingOffsets[rank] = {...}; //offset indices of the first element + +This could be used to padd ndArray shapes and calculate strides based on it while keeping original shape, paddOffsets could be used to determine the beginning of the first element. Though this interface ismore generic its drawback is that on armcompute its possible to padd 1d into 2D while keeping rank but on this one we should supply 2d with one of its dimensions being 1. + + +## Consequences + + 1. All tests that were not tested **against subArray** could break. So they will require a fix + 2. Writing additional test cases + +### Advantages +- alignment possibility for CPUs where alignment is required for speed and vectorization. +- easier integration with libraries. in the case of arm_compute, the last two dimensions are sometimes padded. + + +### Disadvantages +- its advantage is not so big for modern CPUs where unaligned vector loads possible +- exposing it for users is not desirable: (excessive usage creates unnecessary memory spaces and performance problems) +- could result in unnecessary complications for some function implementations +- possibility of requiring additional tests and fixes + + +### Technical details about the addition of this functionality into NdArray +A little investigation showed that the current NdArray actually has constructors to specify strides. +Here is the constructor that could be used +[ShapeDescriptor.h](https://github.com/KonduitAI/deeplearning4j/blob/qwr_armcompute/libnd4j/include/array/ShapeDescriptor.h) +Here are additions into ShapeDescriptor: +- validate() //it willbe used for validation of strides and et cetera. This way we can create NdArray by just using ShapeDescriptor alone. And it will be more flexible with correctness +- allocLength() //returns minimal buffer size for the given strides and shapes. (this was missing on libnd4j side) +- paddedBufferDescriptor(..) //helper method for returning ShapeDescriptor for padded buffer. + + + +#### [NdArrayFactory](https://github.com/KonduitAI/deeplearning4j/blob/qwr_armcompute/libnd4j/include/array/impl/NDArrayFactory.cpp#L39-L80) +The method that is using ShapeDescriptor validation, and ShapeDescriptor paddedBuffer . + +Furthermore to indicate that shape of the NdArray is using paddedBuffer we will flag with `ARRAY_HAS_PADDED_BUFFER` . so it will be possible to know if NdArray is padded. + +Furthermore, it is still possible to recover Paddings from the allocation size of the padded NdArray. But its not an easy task to get PaddingOffsets from offset and recovered full shape. Thats why it requires storing them. Fortunately, for arm_compute tensors **manual padding** we just need to know **total size and the offset** of the first element. So we dont need to change internals that much + +As our padded Buffer follows the strict ews() rule instead of the loose one. Paddings will be obtained from this rule: + + strides[index-1] == strides[index] * shapes[index]; + +pseudo code for C order: + + for (int j = rank - 1; j >= 0; j--) { + shapesAfterPadding[j] = strides[j - 1] / strides[j] + } + shapesAfterPadding[0] = buffer.AllocSize / strides[0] + //Paddings for index in 0..rank-1 + paddings[index] = shapesAfterPadding[index] - shape[index] + + + + + +### Technical notes on arm_compute library + +The main drive for the above proposal to avoid unnecessary performance and memory allocation. And also we should keep on mind : +- in each newer version of arm_compute there are new implementations in which the padding requirements were removed. + +This **can diminish the necessity for the proposed changes** if such versions of the desired functions are implemented. + +##### Notes on arm_compute tensors +Arm_compute tensors are mostly 3d 4d with max 6d dimensions. +So lets show C order NdArray({2,2,5,5},) + + shapeInfo shapeInfo: [4, 2,2,5,5, 50,25,5,1, 8192,1,99] + +of float type and its arm_compute tensor equivalent : +- first of all, we map NdArray dataTypes into arm_compute [armcomputeUtils.cpp#L35-L75](https://github.com/KonduitAI/deeplearning4j/blob/qwr_armcompute/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.cpp#L35-L75) +- it will be with the reversed shape. **`NdArray{n,z,y,x} -> TensorShape{x,y,z,n}`** +- + + total length in bytes: 400 + shapes: 5,5,2,2,1,1, + strides in bytes: 4,20,100,200,0,0, + strides as elements: (1,5,25,50) + +Paddings in arm_compute Tensors. `Padding{left,right, top, bottom}` +As both OpenCL and NEON use vector loads and stores instructions to access the data in buffers, so in order to avoid having special cases to handle for the borders all the images and tensors used in this library must be padded +There are different ways padding can be calculated: + +- Accurate padding. + in this case it is importan to configure and then after that to allocate +- auto padding. + It guarantees that the allocation will have enough padding to run any of the provided functions +- no padding +- manual padding + +#### how padding affects strides offset and total size +in arm_compute Tensor: +it's 2d {Width Height} can be padded and thats why it affects strides. +Lets show it with the picture: + + \ top / + \ _____________________ / + left | ^ | right + | Width | + | <-Height | + | | + | | + ---------------------- + / bottom \ + / \ + +Here is the stride calculation pseudo code for Tensor {x,y,z} + + stride_x = element_size(); //float will be 4 + stride_y = (padding.left + _tensor_shape[0] + padding.right) * stride_x; + stride_z = (padding.top + _tensor_shape[1] + padding.bottom) * stride_y; + + required_offset_first_element = padding.left * stride_x + padding.top * stride_y; + + +For example: if arm_tensor had `padding: left 0, right 1, top 0, bottom 1` : + + total: 576 + shapes: 5,5,2,2,1,1, + strides in bytes: 4,24,144,288,0,0, + + + +### Notes on the current wrapper implementation + +This is a simple wrapper for arm functions with input and output tensors: +[armcomputeUtils.h#L95-L165](https://github.com/KonduitAI/deeplearning4j/blob/qwr_armcompute/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.h#L85-L133) + +From above we could see : +- we had to flag padded NdArrays so that we can use manual padding version of arm_compute Tensors +- when padding information is changed during configure process we **have to copy** our NdArray buffer into **new allocated** arm_tensor buffer. and the same with the output. +- for cases without padding , arm_tensor could use our buffer if its ews()==1. +- its desired to call configure and run separately to avoid multiple configure calls ( this is not discussed here, for now) + + +## arm_compute wrapper proposal + + +So from above we can conclude that we have two options: + +- creating our NdArray with auto_padding strides and modifying the current wrapper. Still configure will be called foreach run. But with auto padding it is using more memory for small ndarrays +- to be able to use accurate padding properly we should call configure before NdArray memory allocation so that we can import it. For that I should investigate graph, DeclarableOps and NdArrays usage lifecycle. + +Here is auto padding: + + // Some kernels compute 32 elements at the time, worst case scenario they + // will read 32 values after the last element + extra_pad_x = _tensor_shape.num_dimensions() < 1 ? 0 : 32; + pad_x = _tensor_shape.num_dimensions() < 1 ? 0 : 4; + pad_y = _tensor_shape.num_dimensions() < 2 ? 0 : 4; + + PaddingSize(pad_y, pad_x + extra_pad_x, pad_y, pad_x); + +## Discussion + + + + + + diff --git a/ADRs/0004-Mapping_IR.md b/ADRs/0004-Mapping_IR.md new file mode 100644 index 000000000..b62eba532 --- /dev/null +++ b/ADRs/0004-Mapping_IR.md @@ -0,0 +1,275 @@ +# Import IR + +## Status +Proposed + +Proposed by: Adam Gibson (28-09-2020) + +Discussed with: N/A + +## Context + + Generally, every neural network file format defines a sequence of operations + to execute mathematical operations that comprises a neural network. + + Each element in the sequence is a node that contains information such as the + desired operation, and a set of attributes that represent parameters + in to the mathematical function to execute. + +In order to write import/export for different frameworks, we need to adapt +an attribute based format from various popular deep learning frameworks. +Nd4j has a different list based format for operation execution arguments. +In the [previous ADR](./Import_IR.md), we added an IR which makes it easier to +interop with other frameworks. + +In this ADR, this work is extended to add a file format for +describing lists of operations as MappingRules which allow transformations +from one framework to another. + +These transformations manipulate protobuf as input and output Nd4j's +new OpDescriptor format as output. + + +##Related work + +See [the import IR](./0003-Import_IR.md) + +## Decision + +We implement a mapping process framework that defines transforms on an input file format. +A MappingProcess defines a list of MappingRules which represent a sequence of transformations +on each attribute of an op definition. + +To assist in mapping, a mapping context with needed information like rule arguments +for transformation, current node, and whole graph are used as input. + +The input is a protobuf file for a specific framework and the output is an op descriptor +described [here](./0003-Import_IR.md). + +A MappingRule converts 1 or more attributes in to 1 more or arg definitions. A potential definition +can be found in Appendix E. + +Attributes are named values supporting a wide variety of types from floats/doubles +to lists of the same primitive types. See Appendix C for a theoretical definition. + +Arg Definitions are the arguments for an OpDescriptor described in [the import IR ADR.](./0003-Import_IR.md) +See Appendix D for a potential definition of arg definitions. + +All of this together describes how to implement a framework agnostic +interface to convert between a target deep learning framework and the nd4j format. + + +## Implementation details + +In order to implement proper mapping functionality, a common interface is implemented. +Below are the needed common types for mapping: + +1. IRNodeDef: A node definition in a graph +2. IRTensor: A tensor type for mapping +3. IROpList: A list of operations +4. IRAttrDef: An attribute definition +5. IRAttrValue: An attribute value +6. IROpDef: An op definition for the IR +7. IRDataType: A data type +8. IRGraph: A graph abstraction + +Each one of these types is a wrapper around a specific framework's input types +of the equivalent concepts. + +Each of these wrappers knows how to convert the specific concepts +in to the nd4j equivalents for interpretation by a mapper which applies +the mapping rules for a particular framework. + +Doing this will allow us to share logic between mappers and making 1 implementation of +mapping possible by calling associated getter methods for concepts like data types and nodes. + +## Serialization + +In order to persist rules using protobuf, all rules will know how to serialize themselves. +A simple serialize() and load() methods are implemented which covers conversion using +interface methods up to the user to implement which describes how to persist the protobuf +representation. This applies to any of the relevant functionality such as rules and processes. + + + +## Custom types + +Some types will not map 1 to 1 or are directly applicable to nd4j. +In order to combat this, when an unknown type is discovered during mapping, +adapter functions for specific types must be specified. + +Supported types include: + +1. Long/Int +2. Double/Float +3. String +4. Boolean +5. Bytes +6. NDArrays + + +An example: + +A Dim in tensorflow can be mapped to a long in nd4j. + +Shape Information can be a list of longs or multiple lists depending on the +context. + +## Consequences +### Advantages +* Allows a language neutral way of describing a set of transforms necessary +for mapping an set of operations found in a graph from one framework to the nd4j format. + +* Allows a straightforward way of writing an interpreter as well as mappers +for different frameworks in nd4j in a standardized way. + +* Replaces the old import and makes maintenance of imports/mappers more straightforward. + +### Disadvantages + +* More complexity in the code base instead of a more straightforward java implementation. + +* Risks introducing new errors due to a rewrite + + +## Appendix A: Contrasting MappingRules with another implementation + +We map names and types to equivalent concepts in each framework. +Onnx tensorflow does this with an [attribute converter](https://github.com/onnx/onnx-tensorflow/blob/08e41de7b127a53d072a54730e4784fe50f8c7c3/onnx_tf/common/attr_converter.py) + +This is done by a handler (one for each op). +More can be found [here](https://github.com/onnx/onnx-tensorflow/tree/master/onnx_tf/handlers/backend) + + +## Appendix B: Challenges when mapping nd4j ops + +The above formats are vastly different. Onnx and tensorflow +are purely attribute based. Nd4j is index based. +This challenge is addressed by the IR by adding names to each property. + + +In order to actually map these properties, we need to define rules for doing so. +Examples of why these mapping rules are needed below: + +1. Different conventions for the same concept. One example that stands out from conv +is padding. Padding can be represented as a string or have a boolean that says what a string equals. +In nd4j, we represent this as a boolean: isSameMode. We need to do a conversion inline in order +to invoke nd4j correctly. + +2. Another issue is implicit concepts. Commonly, convolution requires you to configure a layout +of NWHC (Batch size, Height, Width, Channels) +or NCHW (Batch size, Channels,Height, Width). Tensorflow allows you to specify it, +nd4j also allows you to specify it. Onnx does not. + + A more in depth conversation on this specific issue relating to the + 2 frameworks can be found [here](https://github.com/onnx/onnx-tensorflow/issues/31) +In order to address these challenges, we introduce a MappingRule allowing +us to define a series of steps to map the input format to the nd4j format +in a language neutral way via a protobuf declaration. + + +## Appendix C: A theoretical attribute definition +```kotlin +enum class AttributeValueType { + FLOAT, + LIST_FLOAT, + BYTE, + LIST_BYTE, + INT, + LIST_INT, + BOOL, + LIST_BOOL, + STRING, + LIST_STRING +} + +interface IRAttribute { + + fun name(): String + + fun floatValue(): Double + + fun listFloatValue(): List + + fun byteValue(): Byte + + fun listByteValue(): List + + fun intValue(): Long + + fun listIntValue(): List + + fun boolValue(): Boolean + + fun listBoolValue(): List + + fun attributeValueType(): AttributeValueType + + fun internalAttributeDef(): ATTRIBUTE_TYPE + + fun internalAttributeValue(): ATTRIBUTE_VALUE_TYPE +} + +``` + +## Appendix D: A theoretical kotlin definition of argument descriptors and op descriptors can be found below: +```kotlin +interface IRArgDef { + fun name(): String + + fun description(): String + + fun dataType(): IRDataType + + fun internalValue(): T + + fun indexOf(): Integer +} + +interface IROpDef { + fun opName(): String + + fun internalValue(): T + + fun inputArgs(): List> + + fun outputArgs(): List> + + fun attributes(): List> + +} +``` + + +##Appendix E: A theoretical kotlin definition of Mapping Rules, MappingProcess and ArgDef can be found below: +```kotlin +interface MappingProcess { + fun opName(): String + + fun frameworkVersion(): String + + fun inputFramework(): String + + fun rules(): List> + + + fun applyProcess(inputNode: IRNode): OpDeclarationDescriptor + + fun applyProcessReverse(input: OpDeclarationDescriptor): IRNode + + fun createDescriptor(argDescriptors: List): OpDeclarationDescriptor +} + +interface MappingRule { + fun name(): String + + /** + * Convert 1 or more attributes in to a list of {@link ArgDescriptor} + */ + fun convert(inputs: List> ): List + + fun convertReverse(input: List): List> + +} + +``` \ No newline at end of file diff --git a/ADRs/0005-Interpreter.md b/ADRs/0005-Interpreter.md new file mode 100644 index 000000000..6e2cc44d1 --- /dev/null +++ b/ADRs/0005-Interpreter.md @@ -0,0 +1,81 @@ +# Interpreter + +## Status +Proposed + +Proposed by: Adam Gibson (28-09-2020) + +Discussed with: N/A + +## Context + + +## Decision + +An interpreter uses the [import IR](./0003-Import_IR.md) and the [mapping rule IR](./0004-Mapping_IR.md) +to execute and map operations from one framework to nd4j's file format and back. + +This also allows execution of different frameworks via conversion in the nd4j engine. + + +A combination of the 2 allows a uniform interface to be used for the interpreter. + +1 or more MappingRules will be used to transform 1 file format to another. + + +## Mapping Rules Execution + +Mapping Rules are named functions that contain the function signature +(input and outputs). These mapping rules are used by the interpreter +to know which functions to execute. + +The interpreter has built in implementations of the defined functions +for the desired transforms. + + +## Import process + +An import process is defined for an overall framework. +It maps input graphs to samediff graphs using +specified mapping processes for op names and frameworks. +An import process is all that is needed to create a graph. +Below are the needed concepts for an import process to implement. + + +## Graph creation + +In order for execution to happen, a graph needs to be built. +This happens in java via the samediff builder. + +The conversion happens as follows: +input node -> convert node to op descriptor via defined mapping rules -> add op descriptor to graph + +The op descriptor is converted to a CustomOp which is then added to the graph via +[addArgsFor](https://github.com/KonduitAI/deeplearning4j/blob/88d3c4867fb87ec760b445c6b9459ecf353cec47/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiff.java#L1078) + +This handles declarative graph creation setting dependencies up. Delegation of the graph structure +creation to the existing Samediff library enables the scope of this interpreter to be focused on +mapping operations. + +## Custom Sub graphs + +One common use case is mapping sub graphs to custom layers. A custom layer can be thought of as a sequence of operations. +In order to map this, a named process can be created. Generally, if you know what ops the sub graph is made of, +you only need to declare a set of rules based on the rules that map individual ops in the existing framework. + +## Consequences +### Advantages +* Uses a common interface across different frameworks making maintenance simple + +* Allows an easy to maintain abstraction for interop with different file formats + +* Allows an easy entry point in to the framework without knowing much about the framework. + +### Disadvantages + +* Need to ensure compatibility across different frameworks + +* Requires extensive testing to ensure proper compatibility + +* May not necessarily support all ops people are expecting. This will be addressed +in a new ADR. diff --git a/Jenkinsfile b/Jenkinsfile index a4a1c53ff..74503dbea 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -1,20 +1,23 @@ -#!groovy -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ + /* ****************************************************************************** + * + * + * This program and the accompanying materials are made available under the + * terms of the Apache License, Version 2.0 which is available at + * https://www.apache.org/licenses/LICENSE-2.0. + * + * See the NOTICE file distributed with this work for additional + * information regarding copyright ownership. + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * License for the specific language governing permissions and limitations + * under the License. + * + * SPDX-License-Identifier: Apache-2.0 + ******************************************************************************/ + +#!groovy /* To redefine some job/run parameters, diff --git a/NOTICE.txt b/NOTICE.txt new file mode 100644 index 000000000..ae3fdc115 --- /dev/null +++ b/NOTICE.txt @@ -0,0 +1,20 @@ +Eclipse Deeplearning4j +Copyright 2021 Eclipse Deeplearning4j Contributors + +This product includes software developed at +The Apache Software Foundation (http://www.apache.org/). + +This product includes software developed at +* Skymind Inc (Apache 2.0). Copyright (C) 2015-2018 Skymind Inc . + +This product includes software developed at +* Konduit KK (Apache 2.0). Copyright (C) 2020. + + +This product includes software from the Tensorflow Project (Apache 2.0). +* Copyright (C) 2015-2018 Tensorflow Authors. + +# https://github.com/onnx/onnx + +This product includes software from the Onnx Project project (Apache 2.0). +* Copyright (C) 2020 Onnx Contributors (https://github.com/onnx/onnx) \ No newline at end of file diff --git a/arbiter/README.md b/arbiter/README.md deleted file mode 100644 index 67124f30a..000000000 --- a/arbiter/README.md +++ /dev/null @@ -1,45 +0,0 @@ -# Arbiter - -A tool dedicated to tuning (hyperparameter optimization) of machine learning models. Part of the DL4J Suite of Machine Learning / Deep Learning tools for the enterprise. - - -## Modules -Arbiter contains the following modules: - -- arbiter-core: Defines the API and core functionality, and also contains functionality for the Arbiter UI -- arbiter-deeplearning4j: For hyperparameter optimization of DL4J models (MultiLayerNetwork and ComputationGraph networks) - - -## Hyperparameter Optimization Functionality - -The open-source version of Arbiter currently defines two methods of hyperparameter optimization: - -- Grid search -- Random search - -For optimization of complex models such as neural networks (those with more than a few hyperparameters), random search is superior to grid search, though Bayesian hyperparameter optimization schemes -For a comparison of random and grid search methods, see [Random Search for Hyper-parameter Optimization (Bergstra and Bengio, 2012)](http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf). - -### Core Concepts and Classes in Arbiter for Hyperparameter Optimization - -In order to conduct hyperparameter optimization in Arbiter, it is necessary for the user to understand and define the following: - -- **Parameter Space**: A ```ParameterSpace

``` specifies the type and allowable values of hyperparameters for a model configuration of type ```P```. For example, ```P``` could be a MultiLayerConfiguration for DL4J -- **Candidate Generator**: A ```CandidateGenerator``` is used to generate candidate models configurations of some type ```C```. The following implementations are defined in arbiter-core: - - ```RandomSearchCandidateGenerator``` - - ```GridSearchCandidateGenerator``` -- **Score Function**: A ```ScoreFunction``` is used to score a model of type ```M``` given data of type ```D```. For example, in DL4J a score function might be used to calculate the classification accuracy from a DataSetIterator - - A key concept here is that they score is a single numerical (double precision) value that we either want to minimize or maximize - this is the goal of hyperparameter optimization -- **Termination Conditions**: One or more ```TerminationCondition``` instances must be provided to the ```OptimizationConfiguration```. ```TerminationCondition``` instances are used to control when hyperparameter optimization should be stopped. Some built-in termination conditions: - - ```MaxCandidatesCondition```: Terminate if more than the specified number of candidate hyperparameter configurations have been executed - - ```MaxTimeCondition```: Terminate after a specified amount of time has elapsed since starting the optimization -- **Result Saver**: The ```ResultSaver``` interface is used to specify how the results of each hyperparameter optimization run should be saved. For example, whether saving should be done to local disk, to a database, to HDFS, or simply stored in memory. - - Note that ```ResultSaver.saveModel``` method returns a ```ResultReference``` object, which provides a mechanism for re-loading both the model and score from wherever it may be saved. -- **Optimization Configuration**: An ```OptimizationConfiguration``` ties together the above configuration options in a fluent (builder) pattern. -- **Candidate Executor**: The ```CandidateExecutor``` interface provides a layer of abstraction between the configuration and execution of each instance of learning. Currently, the only option is the ```LocalCandidateExecutor```, which is used to execute learning on a single machine (in the current JVM). In principle, other execution methods (for example, on Spark or cloud computing machines) could be implemented. -- **Optimization Runner**: The ```OptimizationRunner``` uses an ```OptimizationConfiguration``` and a ```CandidateExecutor``` to actually run the optimization, and save the results. - - -### Optimization of DeepLearning4J Models - -(This section: forthcoming) diff --git a/arbiter/arbiter-core/pom.xml b/arbiter/arbiter-core/pom.xml deleted file mode 100644 index 7c65b2efb..000000000 --- a/arbiter/arbiter-core/pom.xml +++ /dev/null @@ -1,105 +0,0 @@ - - - - - arbiter - org.deeplearning4j - 1.0.0-SNAPSHOT - - 4.0.0 - - arbiter-core - jar - - arbiter-core - - - - org.nd4j - nd4j-api - ${nd4j.version} - - - com.google.code.findbugs - * - - - - - - org.apache.commons - commons-lang3 - ${commons.lang.version} - - - - org.apache.commons - commons-math3 - ${commons.math.version} - - - - junit - junit - ${junit.version} - test - - - - org.slf4j - slf4j-api - ${slf4j.version} - - - - ch.qos.logback - logback-classic - ${logback.version} - test - - - - joda-time - joda-time - ${jodatime.version} - - - - - org.nd4j - jackson - ${nd4j.version} - - - - org.deeplearning4j - deeplearning4j-common-tests - ${project.version} - test - - - - - - test-nd4j-native - - - test-nd4j-cuda-11.0 - - - diff --git a/arbiter/arbiter-core/src/assembly/bin.xml b/arbiter/arbiter-core/src/assembly/bin.xml deleted file mode 100644 index c99d6b144..000000000 --- a/arbiter/arbiter-core/src/assembly/bin.xml +++ /dev/null @@ -1,91 +0,0 @@ - - - - bin - - - tar.gz - - - - - - - lib - - *:jar:* - - - *:sources - - - - - - - - - readme.txt - - - - - src/main/resources/bin/ - bin - - arbiter - - unix - 0755 - - - - examples - examples - - - - - - - - target - ./ - - *.jar - - - - - - \ No newline at end of file diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/AbstractParameterSpace.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/AbstractParameterSpace.java deleted file mode 100644 index babc88238..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/AbstractParameterSpace.java +++ /dev/null @@ -1,74 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import java.lang.reflect.Field; -import java.util.ArrayList; -import java.util.LinkedHashMap; -import java.util.List; -import java.util.Map; - -/** - * Created by Alex on 23/07/2017. - */ -public abstract class AbstractParameterSpace implements ParameterSpace { - - @Override - public Map getNestedSpaces() { - Map m = new LinkedHashMap<>(); - - //Need to manually build and walk the class hierarchy... - Class currClass = this.getClass(); - List> classHierarchy = new ArrayList<>(); - while (currClass != Object.class) { - classHierarchy.add(currClass); - currClass = currClass.getSuperclass(); - } - - for (int i = classHierarchy.size() - 1; i >= 0; i--) { - //Use reflection here to avoid a mass of boilerplate code... - Field[] allFields = classHierarchy.get(i).getDeclaredFields(); - - for (Field f : allFields) { - - String name = f.getName(); - Class fieldClass = f.getType(); - boolean isParamSpacefield = ParameterSpace.class.isAssignableFrom(fieldClass); - - if (!isParamSpacefield) { - continue; - } - - f.setAccessible(true); - - ParameterSpace p; - try { - p = (ParameterSpace) f.get(this); - } catch (IllegalAccessException e) { - throw new RuntimeException(e); - } - - if (p != null) { - m.put(name, p); - } - } - } - - return m; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/Candidate.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/Candidate.java deleted file mode 100644 index 4f00d92e7..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/Candidate.java +++ /dev/null @@ -1,57 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import lombok.AllArgsConstructor; -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.generator.util.SerializedSupplier; -import org.nd4j.common.function.Supplier; - -import java.io.Serializable; -import java.util.Map; - -/** - * Candidate: a proposed hyperparameter configuration. - * Also includes a map for data parameters, to configure things like data preprocessing, etc. - */ -@Data -@AllArgsConstructor -public class Candidate implements Serializable { - - private Supplier supplier; - private int index; - private double[] flatParameters; - private Map dataParameters; - private Exception exception; - - public Candidate(C value, int index, double[] flatParameters, Map dataParameters, Exception e) { - this(new SerializedSupplier(value), index, flatParameters, dataParameters, e); - } - - public Candidate(C value, int index, double[] flatParameters) { - this(new SerializedSupplier(value), index, flatParameters); - } - - public Candidate(Supplier value, int index, double[] flatParameters) { - this(value, index, flatParameters, null, null); - } - - public C getValue(){ - return supplier.get(); - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/CandidateGenerator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/CandidateGenerator.java deleted file mode 100644 index 6a88b4e10..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/CandidateGenerator.java +++ /dev/null @@ -1,65 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import org.nd4j.shade.jackson.annotation.JsonInclude; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -/** - * A CandidateGenerator proposes candidates (i.e., hyperparameter configurations) for evaluation. - * This abstraction allows for different ways of generating the next configuration to test; for example, - * random search, grid search, Bayesian optimization methods, etc. - * - * @author Alex Black - */ -@JsonInclude(JsonInclude.Include.NON_NULL) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public interface CandidateGenerator { - - /** - * Is this candidate generator able to generate more candidates? This will always return true in some - * cases, but some search strategies have a limit (grid search, for example) - */ - boolean hasMoreCandidates(); - - /** - * Generate a candidate hyperparameter configuration - */ - Candidate getCandidate(); - - /** - * Report results for the candidate generator. - * - * @param result The results to report - */ - void reportResults(OptimizationResult result); - - /** - * @return Get the parameter space for this candidate generator - */ - ParameterSpace getParameterSpace(); - - /** - * @param rngSeed Set the random number generator seed for the candidate generator - */ - void setRngSeed(long rngSeed); - - /** - * @return The type (class) of the generated candidates - */ - Class getCandidateType(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/OptimizationResult.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/OptimizationResult.java deleted file mode 100644 index 5cdcf68f0..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/OptimizationResult.java +++ /dev/null @@ -1,60 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; -import org.nd4j.shade.jackson.annotation.JsonProperty; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.io.Serializable; - -/** - * An optimization result represents the results of an optimization run, including the candidate configuration, the - * trained model, the score for that model, and index of the model - * - * @author Alex Black - */ -@Data -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -@JsonIgnoreProperties({"resultReference"}) -public class OptimizationResult implements Serializable { - @JsonProperty - private Candidate candidate; - @JsonProperty - private Double score; - @JsonProperty - private int index; - @JsonProperty - private Object modelSpecificResults; - @JsonProperty - private CandidateInfo candidateInfo; - private ResultReference resultReference; - - - public OptimizationResult(Candidate candidate, Double score, int index, Object modelSpecificResults, - CandidateInfo candidateInfo, ResultReference resultReference) { - this.candidate = candidate; - this.score = score; - this.index = index; - this.modelSpecificResults = modelSpecificResults; - this.candidateInfo = candidateInfo; - this.resultReference = resultReference; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/ParameterSpace.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/ParameterSpace.java deleted file mode 100644 index 1d96a7700..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/ParameterSpace.java +++ /dev/null @@ -1,81 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import org.nd4j.shade.jackson.annotation.JsonIgnore; -import org.nd4j.shade.jackson.annotation.JsonInclude; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.util.List; -import java.util.Map; - -/** - * ParameterSpace: defines the acceptable ranges of values a given parameter may take. - * Note that parameter spaces can be simple (like {@code ParameterSpace}) or complicated, including - * multiple nested ParameterSpaces - * - * @author Alex Black - */ -@JsonInclude(JsonInclude.Include.NON_NULL) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public interface ParameterSpace

{ - - /** - * Generate a candidate given a set of values. These values are then mapped to a specific candidate, using some - * mapping function (such as the prior probability distribution) - * - * @param parameterValues A set of values, each in the range [0,1], of length {@link #numParameters()} - */ - P getValue(double[] parameterValues); - - /** - * Get the total number of parameters (hyperparameters) to be optimized. This includes optional parameters from - * different parameter subpaces. (Thus, not every parameter may be used in every candidate) - * - * @return Number of hyperparameters to be optimized - */ - int numParameters(); - - /** - * Collect a list of parameters, recursively. Note that leaf parameters are parameters that do not have any - * nested parameter spaces - */ - List collectLeaves(); - - /** - * Get a list of nested parameter spaces by name. Note that the returned parameter spaces may in turn have further - * nested parameter spaces. The map should be empty for leaf parameter spaces - * - * @return A map of nested parameter spaces - */ - Map getNestedSpaces(); - - /** - * Is this ParameterSpace a leaf? (i.e., does it contain other ParameterSpaces internally?) - */ - @JsonIgnore - boolean isLeaf(); - - /** - * For leaf ParameterSpaces: set the indices of the leaf ParameterSpace. - * Expects input of length {@link #numParameters()}. Throws exception if {@link #isLeaf()} is false. - * - * @param indices Indices to set. Length should equal {@link #numParameters()} - */ - void setIndices(int... indices); - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/TaskCreator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/TaskCreator.java deleted file mode 100644 index c6e58905d..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/TaskCreator.java +++ /dev/null @@ -1,62 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; - -import java.util.List; -import java.util.Properties; -import java.util.concurrent.Callable; - -/** - * The TaskCreator is used to take a candidate configuration, data provider and score function, and create something - * that can be executed as a Callable - * - * @author Alex Black - */ -public interface TaskCreator { - - /** - * Generate a callable that can be executed to conduct the training of this model (given the model configuration) - * - * @param candidate Candidate (model) configuration to be trained - * @param dataProvider DataProvider, for the data - * @param scoreFunction Score function to be used to evaluate the model - * @param statusListeners Status listeners, that can be used for callbacks (to UI, for example) - * @return A callable that returns an OptimizationResult, once optimization is complete - */ - @Deprecated - Callable create(Candidate candidate, DataProvider dataProvider, ScoreFunction scoreFunction, - List statusListeners, IOptimizationRunner runner); - - /** - * Generate a callable that can be executed to conduct the training of this model (given the model configuration) - * - * @param candidate Candidate (model) configuration to be trained - * @param dataSource Data source - * @param dataSourceProperties Properties (may be null) for the data source - * @param scoreFunction Score function to be used to evaluate the model - * @param statusListeners Status listeners, that can be used for callbacks (to UI, for example) - * @return A callable that returns an OptimizationResult, once optimization is complete - */ - Callable create(Candidate candidate, Class dataSource, Properties dataSourceProperties, - ScoreFunction scoreFunction, List statusListeners, IOptimizationRunner runner); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/TaskCreatorProvider.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/TaskCreatorProvider.java deleted file mode 100644 index ea0a4f283..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/TaskCreatorProvider.java +++ /dev/null @@ -1,43 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api; - -import java.util.HashMap; -import java.util.Map; - -public class TaskCreatorProvider { - - private static Map, Class> map = new HashMap<>(); - - public synchronized static TaskCreator defaultTaskCreatorFor(Class paramSpaceClass){ - Class c = map.get(paramSpaceClass); - try { - if(c == null){ - return null; - } - return c.newInstance(); - } catch (Exception e){ - throw new RuntimeException("Could not create new instance of task creator class: " + c + " - missing no-arg constructor?", e); - } - } - - public synchronized static void registerDefaultTaskCreatorClass(Class spaceClass, - Class creatorClass){ - map.put(spaceClass, creatorClass); - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/adapter/ParameterSpaceAdapter.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/adapter/ParameterSpaceAdapter.java deleted file mode 100644 index 56bd51d69..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/adapter/ParameterSpaceAdapter.java +++ /dev/null @@ -1,82 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.adapter; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -/** - * An abstract class used for adapting one type into another. Subclasses of this need to merely implement 2 simple methods - * - * @param Type to convert from - * @param Type to convert to - * @author Alex Black - */ -@AllArgsConstructor -public abstract class ParameterSpaceAdapter implements ParameterSpace { - - - protected abstract T convertValue(F from); - - protected abstract ParameterSpace underlying(); - - protected abstract String underlyingName(); - - - @Override - public T getValue(double[] parameterValues) { - return convertValue(underlying().getValue(parameterValues)); - } - - @Override - public int numParameters() { - return underlying().numParameters(); - } - - @Override - public List collectLeaves() { - ParameterSpace p = underlying(); - if(p.isLeaf()){ - return Collections.singletonList(p); - } - return underlying().collectLeaves(); - } - - @Override - public Map getNestedSpaces() { - return Collections.singletonMap(underlyingName(), (ParameterSpace)underlying()); - } - - @Override - public boolean isLeaf() { - return false; //Underlying may be a leaf, however - } - - @Override - public void setIndices(int... indices) { - underlying().setIndices(indices); - } - - @Override - public String toString() { - return underlying().toString(); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataProvider.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataProvider.java deleted file mode 100644 index d38ea6176..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataProvider.java +++ /dev/null @@ -1,54 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.data; - -import org.nd4j.shade.jackson.annotation.JsonInclude; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.io.Serializable; -import java.util.Map; - -/** - * DataProvider interface abstracts out the providing of data - * @deprecated Use {@link DataSource} - */ -@JsonInclude(JsonInclude.Include.NON_NULL) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -@Deprecated -public interface DataProvider extends Serializable { - - /** - * Get training data given some parameters for the data. - * Data parameters map is used to specify things like batch - * size data preprocessing - * - * @param dataParameters Parameters for data. May be null or empty for default data - * @return training data - */ - Object trainData(Map dataParameters); - - /** - * Get training data given some parameters for the data. Data parameters map is used to specify things like batch - * size data preprocessing - * - * @param dataParameters Parameters for data. May be null or empty for default data - * @return training data - */ - Object testData(Map dataParameters); - - Class getDataType(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataSetIteratorFactoryProvider.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataSetIteratorFactoryProvider.java deleted file mode 100644 index 3766338a9..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataSetIteratorFactoryProvider.java +++ /dev/null @@ -1,89 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.data; - -import lombok.Data; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; - -import java.util.Map; - -/** - * This is a {@link DataProvider} for - * an {@link DataSetIteratorFactory} which - * based on a key of {@link DataSetIteratorFactoryProvider#FACTORY_KEY} - * will create {@link org.nd4j.linalg.dataset.api.iterator.DataSetIterator} - * for use with arbiter. - * - * This {@link DataProvider} is mainly meant for use for command line driven - * applications. - * - * @author Adam Gibson - */ -@Data -public class DataSetIteratorFactoryProvider implements DataProvider { - - public final static String FACTORY_KEY = "org.deeplearning4j.arbiter.data.data.factory"; - - /** - * Get training data given some parameters for the data. - * Data parameters map is used to specify things like batch - * size data preprocessing - * - * @param dataParameters Parameters for data. May be null or empty for default data - * @return training data - */ - @Override - public DataSetIteratorFactory trainData(Map dataParameters) { - return create(dataParameters); - } - - /** - * Get training data given some parameters for the data. Data parameters map - * is used to specify things like batch - * size data preprocessing - * - * @param dataParameters Parameters for data. May be null or empty for default data - * @return training data - */ - @Override - public DataSetIteratorFactory testData(Map dataParameters) { - return create(dataParameters); - } - - @Override - public Class getDataType() { - return DataSetIteratorFactory.class; - } - - private DataSetIteratorFactory create(Map dataParameters) { - if (dataParameters == null) - throw new IllegalArgumentException( - "Data parameters is null. Please specify a class name to create a dataset iterator."); - if (!dataParameters.containsKey(FACTORY_KEY)) - throw new IllegalArgumentException( - "No data set iterator factory class found. Please specify a class name with key " - + FACTORY_KEY); - String value = dataParameters.get(FACTORY_KEY).toString(); - try { - Class clazz = - (Class) Class.forName(value); - return clazz.newInstance(); - } catch (Exception e) { - throw new RuntimeException("Could not create DataSetIteratorFactory instance - missing no-arg constructor?", e); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataSource.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataSource.java deleted file mode 100644 index 0afe7bb70..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/data/DataSource.java +++ /dev/null @@ -1,57 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.data; - -import java.io.Serializable; -import java.util.Properties; - -/** - * DataSource: defines where the data should come from for training and testing. - * Note that implementations must have a no-argument contsructor - * - * @author Alex Black - */ -public interface DataSource extends Serializable { - - /** - * Configure the current data source with the specified properties - * Note: These properties are fixed for the training instance, and are optionally provided by the user - * at the configuration stage. - * The properties could be anything - and are usually specific to each DataSource implementation. - * For example, values such as batch size could be set using these properties - * @param properties Properties to apply to the data source instance - */ - void configure(Properties properties); - - /** - * Get test data to be used for the optimization. Usually a DataSetIterator or MultiDataSetIterator - */ - Object trainData(); - - /** - * Get test data to be used for the optimization. Usually a DataSetIterator or MultiDataSetIterator - */ - Object testData(); - - /** - * The type of data returned by {@link #trainData()} and {@link #testData()}. - * Usually DataSetIterator or MultiDataSetIterator - * @return Class of the objects returned by trainData and testData - */ - Class getDataType(); - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/evaluation/ModelEvaluator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/evaluation/ModelEvaluator.java deleted file mode 100644 index e5dd31d6e..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/evaluation/ModelEvaluator.java +++ /dev/null @@ -1,40 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.evaluation; - -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; - -import java.io.Serializable; -import java.util.List; - -/** - * ModelEvaluator: Used to conduct additional evaluation. - * For example, this may be classification performance on a test set or similar - */ -public interface ModelEvaluator extends Serializable { - Object evaluateModel(Object model, DataProvider dataProvider); - - /** - * @return The model types supported by this class - */ - List> getSupportedModelTypes(); - - /** - * @return The datatypes supported by this class - */ - List> getSupportedDataTypes(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/InMemoryResultSaver.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/InMemoryResultSaver.java deleted file mode 100644 index 43b914cb3..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/InMemoryResultSaver.java +++ /dev/null @@ -1,63 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.saving; - -import lombok.AllArgsConstructor; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; - -import java.io.IOException; -import java.util.Collections; -import java.util.List; - -/** - * A simple class to store optimization results in-memory. - * Not recommended for large (or a large number of) models. - */ -@NoArgsConstructor -public class InMemoryResultSaver implements ResultSaver { - @Override - public ResultReference saveModel(OptimizationResult result, Object modelResult) throws IOException { - return new InMemoryResult(result, modelResult); - } - - @Override - public List> getSupportedCandidateTypes() { - return Collections.>singletonList(Object.class); - } - - @Override - public List> getSupportedModelTypes() { - return Collections.>singletonList(Object.class); - } - - @AllArgsConstructor - private static class InMemoryResult implements ResultReference { - private OptimizationResult result; - private Object modelResult; - - @Override - public OptimizationResult getResult() throws IOException { - return result; - } - - @Override - public Object getResultModel() throws IOException { - return modelResult; - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/ResultReference.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/ResultReference.java deleted file mode 100644 index 5396270f0..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/ResultReference.java +++ /dev/null @@ -1,37 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.saving; - -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.io.IOException; - -/** - * Idea: We can't store all results in memory in general (might have thousands of candidates with millions of - * parameters each) - * So instead: return a reference to the saved result. Idea is that the result may be saved to disk or a database, - * and we can easily load it back into memory (if/when required) using the getResult() method - */ -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public interface ResultReference { - - OptimizationResult getResult() throws IOException; - - Object getResultModel() throws IOException; - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/ResultSaver.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/ResultSaver.java deleted file mode 100644 index 07ed1e687..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/saving/ResultSaver.java +++ /dev/null @@ -1,57 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.saving; - -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.nd4j.shade.jackson.annotation.JsonInclude; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.io.IOException; -import java.util.List; - -/** - * The ResultSaver interface provides a means of saving models in such a way that they can be loaded back into memory later, - * regardless of where/how they are saved. - * - * @author Alex Black - */ -@JsonInclude(JsonInclude.Include.NON_NULL) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public interface ResultSaver { - - /** - * Save the model (including configuration and any additional evaluation/results) - * - * @param result Optimization result for the model to save - * @param modelResult Model result to save - * @return ResultReference, such that the result can be loaded back into memory - * @throws IOException If IO error occurs during model saving - */ - ResultReference saveModel(OptimizationResult result, Object modelResult) throws IOException; - - /** - * @return The candidate types supported by this class - */ - List> getSupportedCandidateTypes(); - - /** - * @return The model types supported by this class - */ - List> getSupportedModelTypes(); - - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/score/ScoreFunction.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/score/ScoreFunction.java deleted file mode 100644 index d3b0b4aaf..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/score/ScoreFunction.java +++ /dev/null @@ -1,75 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.score; - -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.nd4j.shade.jackson.annotation.JsonInclude; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.io.Serializable; -import java.util.List; -import java.util.Map; -import java.util.Properties; - -/** - * ScoreFunction defines the objective of hyperparameter optimization. - * Specifically, it is used to calculate a score for a given model, relative to the data set provided - * in the configuration. - * - */ -@JsonInclude(JsonInclude.Include.NON_NULL) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public interface ScoreFunction extends Serializable { - - /** - * Calculate and return the score, for the given model and data provider - * - * @param model Model to score - * @param dataProvider Data provider - data to use - * @param dataParameters Parameters for data - * @return Calculated score - */ - double score(Object model, DataProvider dataProvider, Map dataParameters); - - /** - * Calculate and return the score, for the given model and data provider - * - * @param model Model to score - * @param dataSource Data source - * @param dataSourceProperties data source properties - * @return Calculated score - */ - double score(Object model, Class dataSource, Properties dataSourceProperties); - - /** - * Should this score function be minimized or maximized? - * - * @return true if score should be minimized, false if score should be maximized - */ - boolean minimize(); - - /** - * @return The model types supported by this class - */ - List> getSupportedModelTypes(); - - /** - * @return The data types supported by this class - */ - List> getSupportedDataTypes(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/MaxCandidatesCondition.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/MaxCandidatesCondition.java deleted file mode 100644 index 3bb903772..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/MaxCandidatesCondition.java +++ /dev/null @@ -1,50 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.termination; - -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -/** - * Terminate hyperparameter search when the number of candidates exceeds a specified value. - * Note that this is counted as number of completed candidates, plus number of failed candidates. - */ -@AllArgsConstructor -@NoArgsConstructor -@Data -public class MaxCandidatesCondition implements TerminationCondition { - @JsonProperty - private int maxCandidates; - - @Override - public void initialize(IOptimizationRunner optimizationRunner) { - //No op - } - - @Override - public boolean terminate(IOptimizationRunner optimizationRunner) { - return optimizationRunner.numCandidatesCompleted() + optimizationRunner.numCandidatesFailed() >= maxCandidates; - } - - @Override - public String toString() { - return "MaxCandidatesCondition(" + maxCandidates + ")"; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/MaxTimeCondition.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/MaxTimeCondition.java deleted file mode 100644 index 59beff898..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/MaxTimeCondition.java +++ /dev/null @@ -1,81 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.termination; - -import lombok.Data; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.joda.time.format.DateTimeFormat; -import org.joda.time.format.DateTimeFormatter; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.concurrent.TimeUnit; - -/** - * Terminate hyperparameter optimization after - * a fixed amount of time has passed - * @author Alex Black - */ -@NoArgsConstructor -@Data -public class MaxTimeCondition implements TerminationCondition { - private static final DateTimeFormatter formatter = DateTimeFormat.forPattern("dd-MMM HH:mm ZZ"); - - private long duration; - private TimeUnit timeUnit; - private long startTime; - private long endTime; - - - private MaxTimeCondition(@JsonProperty("duration") long duration, @JsonProperty("timeUnit") TimeUnit timeUnit, - @JsonProperty("startTime") long startTime, @JsonProperty("endTime") long endTime) { - this.duration = duration; - this.timeUnit = timeUnit; - this.startTime = startTime; - this.endTime = endTime; - } - - /** - * @param duration Duration of time - * @param timeUnit Unit that the duration is specified in - */ - public MaxTimeCondition(long duration, TimeUnit timeUnit) { - this.duration = duration; - this.timeUnit = timeUnit; - } - - @Override - public void initialize(IOptimizationRunner optimizationRunner) { - startTime = System.currentTimeMillis(); - this.endTime = startTime + timeUnit.toMillis(duration); - } - - @Override - public boolean terminate(IOptimizationRunner optimizationRunner) { - return System.currentTimeMillis() >= endTime; - } - - @Override - public String toString() { - if (startTime > 0) { - return "MaxTimeCondition(" + duration + "," + timeUnit + ",start=\"" + formatter.print(startTime) - + "\",end=\"" + formatter.print(endTime) + "\")"; - } else { - return "MaxTimeCondition(" + duration + "," + timeUnit + "\")"; - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/TerminationCondition.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/TerminationCondition.java deleted file mode 100644 index 40dafa6f2..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/api/termination/TerminationCondition.java +++ /dev/null @@ -1,45 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.api.termination; - - -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.nd4j.shade.jackson.annotation.JsonInclude; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -/** - * Global termination condition for conducting hyperparameter optimization. - * Termination conditions are used to determine if/when the optimization should stop. - */ -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -@JsonInclude(JsonInclude.Include.NON_NULL) -public interface TerminationCondition { - - /** - * Initialize the termination condition (such as starting timers, etc). - */ - void initialize(IOptimizationRunner optimizationRunner); - - /** - * Determine whether optimization should be terminated - * - * @param optimizationRunner Optimization runner - * @return true if learning should be terminated, false otherwise - */ - boolean terminate(IOptimizationRunner optimizationRunner); - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/config/OptimizationConfiguration.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/config/OptimizationConfiguration.java deleted file mode 100644 index 786a45fbc..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/config/OptimizationConfiguration.java +++ /dev/null @@ -1,221 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.config; - -import lombok.*; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; -import org.nd4j.shade.jackson.core.JsonProcessingException; -import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; - -import java.io.IOException; -import java.util.Arrays; -import java.util.List; -import java.util.Properties; - -/** - * OptimizationConfiguration ties together all of the various - * components (such as data, score functions, result saving etc) - * required to execute hyperparameter optimization. - * - * @author Alex Black - */ -@Data -@NoArgsConstructor -@EqualsAndHashCode(exclude = {"dataProvider", "terminationConditions", "candidateGenerator", "resultSaver"}) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public class OptimizationConfiguration { - @JsonSerialize - private DataProvider dataProvider; - @JsonSerialize - private Class dataSource; - @JsonSerialize - private Properties dataSourceProperties; - @JsonSerialize - private CandidateGenerator candidateGenerator; - @JsonSerialize - private ResultSaver resultSaver; - @JsonSerialize - private ScoreFunction scoreFunction; - @JsonSerialize - private List terminationConditions; - @JsonSerialize - private Long rngSeed; - - @Getter - @Setter - private long executionStartTime; - - - private OptimizationConfiguration(Builder builder) { - this.dataProvider = builder.dataProvider; - this.dataSource = builder.dataSource; - this.dataSourceProperties = builder.dataSourceProperties; - this.candidateGenerator = builder.candidateGenerator; - this.resultSaver = builder.resultSaver; - this.scoreFunction = builder.scoreFunction; - this.terminationConditions = builder.terminationConditions; - this.rngSeed = builder.rngSeed; - - if (rngSeed != null) - candidateGenerator.setRngSeed(rngSeed); - - //Validate the configuration: data types, score types, etc - //TODO - - //Validate that the dataSource has a no-arg constructor - if(dataSource != null){ - try{ - dataSource.getConstructor(); - } catch (NoSuchMethodException e){ - throw new IllegalStateException("Data source class " + dataSource.getName() + " does not have a public no-argument constructor"); - } - } - } - - public static class Builder { - - private DataProvider dataProvider; - private Class dataSource; - private Properties dataSourceProperties; - private CandidateGenerator candidateGenerator; - private ResultSaver resultSaver; - private ScoreFunction scoreFunction; - private List terminationConditions; - private Long rngSeed; - - /** - * @deprecated Use {@link #dataSource(Class, Properties)} - */ - @Deprecated - public Builder dataProvider(DataProvider dataProvider) { - this.dataProvider = dataProvider; - return this; - } - - /** - * DataSource: defines where the data should come from for training and testing. - * Note that implementations must have a no-argument constructor - * @param dataSource Class for the data source - * @param dataSourceProperties May be null. Properties for configuring the data source - */ - public Builder dataSource(Class dataSource, Properties dataSourceProperties){ - this.dataSource = dataSource; - this.dataSourceProperties = dataSourceProperties; - return this; - } - - public Builder candidateGenerator(CandidateGenerator candidateGenerator) { - this.candidateGenerator = candidateGenerator; - return this; - } - - public Builder modelSaver(ResultSaver resultSaver) { - this.resultSaver = resultSaver; - return this; - } - - public Builder scoreFunction(ScoreFunction scoreFunction) { - this.scoreFunction = scoreFunction; - return this; - } - - /** - * Termination conditions to use - * @param conditions - * @return - */ - public Builder terminationConditions(TerminationCondition... conditions) { - terminationConditions = Arrays.asList(conditions); - return this; - } - - public Builder terminationConditions(List terminationConditions) { - this.terminationConditions = terminationConditions; - return this; - } - - public Builder rngSeed(long rngSeed) { - this.rngSeed = rngSeed; - return this; - } - - public OptimizationConfiguration build() { - return new OptimizationConfiguration(this); - } - } - - - /** - * Create an optimization configuration from the json - * @param json the json to create the config from - * For type definitions - * @see OptimizationConfiguration - */ - public static OptimizationConfiguration fromYaml(String json) { - try { - return JsonMapper.getYamlMapper().readValue(json, OptimizationConfiguration.class); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - /** - * Create an optimization configuration from the json - * @param json the json to create the config from - * @see OptimizationConfiguration - */ - public static OptimizationConfiguration fromJson(String json) { - try { - return JsonMapper.getMapper().readValue(json, OptimizationConfiguration.class); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - /** - * Return a json configuration of this optimization configuration - * - * @return - */ - public String toJson() { - try { - return JsonMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } - - /** - * Return a yaml configuration of this optimization configuration - * - * @return - */ - public String toYaml() { - try { - return JsonMapper.getYamlMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/DegenerateIntegerDistribution.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/DegenerateIntegerDistribution.java deleted file mode 100644 index a1e3f359b..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/DegenerateIntegerDistribution.java +++ /dev/null @@ -1,97 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.distribution; - -import org.apache.commons.math3.distribution.IntegerDistribution; -import org.apache.commons.math3.exception.NumberIsTooLargeException; -import org.apache.commons.math3.exception.OutOfRangeException; - -import java.util.Arrays; - -/** - * Degenerate distribution: i.e., integer "distribution" that is just a fixed value - */ -public class DegenerateIntegerDistribution implements IntegerDistribution { - private int value; - - public DegenerateIntegerDistribution(int value) { - this.value = value; - } - - - @Override - public double probability(int x) { - return (x == value ? 1.0 : 0.0); - } - - @Override - public double cumulativeProbability(int x) { - return (x >= value ? 1.0 : 0.0); - } - - @Override - public double cumulativeProbability(int x0, int x1) throws NumberIsTooLargeException { - return (value >= x0 && value <= x1 ? 1.0 : 0.0); - } - - @Override - public int inverseCumulativeProbability(double p) throws OutOfRangeException { - throw new UnsupportedOperationException(); - } - - @Override - public double getNumericalMean() { - return value; - } - - @Override - public double getNumericalVariance() { - return 0; - } - - @Override - public int getSupportLowerBound() { - return value; - } - - @Override - public int getSupportUpperBound() { - return value; - } - - @Override - public boolean isSupportConnected() { - return true; - } - - @Override - public void reseedRandomGenerator(long seed) { - //no op - } - - @Override - public int sample() { - return value; - } - - @Override - public int[] sample(int sampleSize) { - int[] out = new int[sampleSize]; - Arrays.fill(out, value); - return out; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/DistributionUtils.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/DistributionUtils.java deleted file mode 100644 index 24dafc726..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/DistributionUtils.java +++ /dev/null @@ -1,149 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.distribution; - -import org.apache.commons.math3.distribution.*; - -/** - * Distribution utils for Apache Commons math distributions - which don't provide equals, hashcode, toString methods, - * don't implement serializable etc. - * Which makes unit testing etc quite difficult. - * - * @author Alex Black - */ -public class DistributionUtils { - - private DistributionUtils() {} - - - public static boolean distributionsEqual(RealDistribution a, RealDistribution b) { - if (a.getClass() != b.getClass()) - return false; - Class c = a.getClass(); - if (c == BetaDistribution.class) { - BetaDistribution ba = (BetaDistribution) a; - BetaDistribution bb = (BetaDistribution) b; - - return ba.getAlpha() == bb.getAlpha() && ba.getBeta() == bb.getBeta(); - } else if (c == CauchyDistribution.class) { - CauchyDistribution ca = (CauchyDistribution) a; - CauchyDistribution cb = (CauchyDistribution) b; - return ca.getMedian() == cb.getMedian() && ca.getScale() == cb.getScale(); - } else if (c == ChiSquaredDistribution.class) { - ChiSquaredDistribution ca = (ChiSquaredDistribution) a; - ChiSquaredDistribution cb = (ChiSquaredDistribution) b; - return ca.getDegreesOfFreedom() == cb.getDegreesOfFreedom(); - } else if (c == ExponentialDistribution.class) { - ExponentialDistribution ea = (ExponentialDistribution) a; - ExponentialDistribution eb = (ExponentialDistribution) b; - return ea.getMean() == eb.getMean(); - } else if (c == FDistribution.class) { - FDistribution fa = (FDistribution) a; - FDistribution fb = (FDistribution) b; - return fa.getNumeratorDegreesOfFreedom() == fb.getNumeratorDegreesOfFreedom() - && fa.getDenominatorDegreesOfFreedom() == fb.getDenominatorDegreesOfFreedom(); - } else if (c == GammaDistribution.class) { - GammaDistribution ga = (GammaDistribution) a; - GammaDistribution gb = (GammaDistribution) b; - return ga.getShape() == gb.getShape() && ga.getScale() == gb.getScale(); - } else if (c == LevyDistribution.class) { - LevyDistribution la = (LevyDistribution) a; - LevyDistribution lb = (LevyDistribution) b; - return la.getLocation() == lb.getLocation() && la.getScale() == lb.getScale(); - } else if (c == LogNormalDistribution.class) { - LogNormalDistribution la = (LogNormalDistribution) a; - LogNormalDistribution lb = (LogNormalDistribution) b; - return la.getScale() == lb.getScale() && la.getShape() == lb.getShape(); - } else if (c == NormalDistribution.class) { - NormalDistribution na = (NormalDistribution) a; - NormalDistribution nb = (NormalDistribution) b; - return na.getMean() == nb.getMean() && na.getStandardDeviation() == nb.getStandardDeviation(); - } else if (c == ParetoDistribution.class) { - ParetoDistribution pa = (ParetoDistribution) a; - ParetoDistribution pb = (ParetoDistribution) b; - return pa.getScale() == pb.getScale() && pa.getShape() == pb.getShape(); - } else if (c == TDistribution.class) { - TDistribution ta = (TDistribution) a; - TDistribution tb = (TDistribution) b; - return ta.getDegreesOfFreedom() == tb.getDegreesOfFreedom(); - } else if (c == TriangularDistribution.class) { - TriangularDistribution ta = (TriangularDistribution) a; - TriangularDistribution tb = (TriangularDistribution) b; - return ta.getSupportLowerBound() == tb.getSupportLowerBound() - && ta.getSupportUpperBound() == tb.getSupportUpperBound() && ta.getMode() == tb.getMode(); - } else if (c == UniformRealDistribution.class) { - UniformRealDistribution ua = (UniformRealDistribution) a; - UniformRealDistribution ub = (UniformRealDistribution) b; - return ua.getSupportLowerBound() == ub.getSupportLowerBound() - && ua.getSupportUpperBound() == ub.getSupportUpperBound(); - } else if (c == WeibullDistribution.class) { - WeibullDistribution wa = (WeibullDistribution) a; - WeibullDistribution wb = (WeibullDistribution) b; - return wa.getShape() == wb.getShape() && wa.getScale() == wb.getScale(); - } else if (c == LogUniformDistribution.class ){ - LogUniformDistribution lu_a = (LogUniformDistribution)a; - LogUniformDistribution lu_b = (LogUniformDistribution)b; - return lu_a.getMin() == lu_b.getMin() && lu_a.getMax() == lu_b.getMax(); - } else { - throw new UnsupportedOperationException("Unknown or not supported RealDistribution: " + c); - } - } - - public static boolean distributionEquals(IntegerDistribution a, IntegerDistribution b) { - if (a.getClass() != b.getClass()) - return false; - Class c = a.getClass(); - - if (c == BinomialDistribution.class) { - BinomialDistribution ba = (BinomialDistribution) a; - BinomialDistribution bb = (BinomialDistribution) b; - return ba.getNumberOfTrials() == bb.getNumberOfTrials() - && ba.getProbabilityOfSuccess() == bb.getProbabilityOfSuccess(); - } else if (c == GeometricDistribution.class) { - GeometricDistribution ga = (GeometricDistribution) a; - GeometricDistribution gb = (GeometricDistribution) b; - return ga.getProbabilityOfSuccess() == gb.getProbabilityOfSuccess(); - } else if (c == HypergeometricDistribution.class) { - HypergeometricDistribution ha = (HypergeometricDistribution) a; - HypergeometricDistribution hb = (HypergeometricDistribution) b; - return ha.getPopulationSize() == hb.getPopulationSize() - && ha.getNumberOfSuccesses() == hb.getNumberOfSuccesses() - && ha.getSampleSize() == hb.getSampleSize(); - } else if (c == PascalDistribution.class) { - PascalDistribution pa = (PascalDistribution) a; - PascalDistribution pb = (PascalDistribution) b; - return pa.getNumberOfSuccesses() == pb.getNumberOfSuccesses() - && pa.getProbabilityOfSuccess() == pb.getProbabilityOfSuccess(); - } else if (c == PoissonDistribution.class) { - PoissonDistribution pa = (PoissonDistribution) a; - PoissonDistribution pb = (PoissonDistribution) b; - return pa.getMean() == pb.getMean(); - } else if (c == UniformIntegerDistribution.class) { - UniformIntegerDistribution ua = (UniformIntegerDistribution) a; - UniformIntegerDistribution ub = (UniformIntegerDistribution) b; - return ua.getSupportUpperBound() == ub.getSupportUpperBound() - && ua.getSupportUpperBound() == ub.getSupportUpperBound(); - } else if (c == ZipfDistribution.class) { - ZipfDistribution za = (ZipfDistribution) a; - ZipfDistribution zb = (ZipfDistribution) b; - return za.getNumberOfElements() == zb.getNumberOfElements() && za.getExponent() == zb.getNumberOfElements(); - } else { - throw new UnsupportedOperationException("Unknown or not supported IntegerDistribution: " + c); - } - - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/LogUniformDistribution.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/LogUniformDistribution.java deleted file mode 100644 index a9c0933c4..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/distribution/LogUniformDistribution.java +++ /dev/null @@ -1,155 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.distribution; - -import org.nd4j.shade.guava.base.Preconditions; -import lombok.Getter; -import org.apache.commons.math3.distribution.RealDistribution; -import org.apache.commons.math3.exception.NumberIsTooLargeException; -import org.apache.commons.math3.exception.OutOfRangeException; - -import java.util.Random; - -/** - * Log uniform distribution, with support in range [min, max] for min > 0 - * - * Reference: https://www.vosesoftware.com/riskwiki/LogUniformdistribution.php - * - * @author Alex Black - */ -public class LogUniformDistribution implements RealDistribution { - - @Getter private final double min; - @Getter private final double max; - - private final double logMin; - private final double logMax; - - private transient Random rng = new Random(); - - /** - * - * @param min Minimum value - * @param max Maximum value - */ - public LogUniformDistribution(double min, double max) { - Preconditions.checkArgument(min > 0, "Minimum must be > 0. Got: " + min); - Preconditions.checkArgument(max > min, "Maximum must be > min. Got: (min, max)=(" - + min + "," + max + ")"); - this.min = min; - this.max = max; - - this.logMin = Math.log(min); - this.logMax = Math.log(max); - } - - @Override - public double probability(double x) { - if(x < min || x > max){ - return 0; - } - - return 1.0 / (x * (logMax - logMin)); - } - - @Override - public double density(double x) { - return probability(x); - } - - @Override - public double cumulativeProbability(double x) { - if(x <= min){ - return 0.0; - } else if(x >= max){ - return 1.0; - } - - return (Math.log(x)-logMin)/(logMax-logMin); - } - - @Override - public double cumulativeProbability(double x0, double x1) throws NumberIsTooLargeException { - return cumulativeProbability(x1) - cumulativeProbability(x0); - } - - @Override - public double inverseCumulativeProbability(double p) throws OutOfRangeException { - Preconditions.checkArgument(p >= 0 && p <= 1, "Invalid input: " + p); - return Math.exp(p * (logMax-logMin) + logMin); - } - - @Override - public double getNumericalMean() { - return (max-min)/(logMax-logMin); - } - - @Override - public double getNumericalVariance() { - double d1 = (logMax-logMin)*(max*max - min*min) - 2*(max-min)*(max-min); - return d1 / (2*Math.pow(logMax-logMin, 2.0)); - } - - @Override - public double getSupportLowerBound() { - return min; - } - - @Override - public double getSupportUpperBound() { - return max; - } - - @Override - public boolean isSupportLowerBoundInclusive() { - return true; - } - - @Override - public boolean isSupportUpperBoundInclusive() { - return true; - } - - @Override - public boolean isSupportConnected() { - return true; - } - - @Override - public void reseedRandomGenerator(long seed) { - rng.setSeed(seed); - } - - @Override - public double sample() { - return inverseCumulativeProbability(rng.nextDouble()); - } - - @Override - public double[] sample(int sampleSize) { - double[] d = new double[sampleSize]; - for( int i=0; i Type of candidates to generate - */ -@Data -@EqualsAndHashCode(exclude = {"rng", "candidateCounter"}) -public abstract class BaseCandidateGenerator implements CandidateGenerator { - protected ParameterSpace parameterSpace; - protected AtomicInteger candidateCounter = new AtomicInteger(0); - protected SynchronizedRandomGenerator rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - protected Map dataParameters; - protected boolean initDone = false; - - public BaseCandidateGenerator(ParameterSpace parameterSpace, Map dataParameters, - boolean initDone) { - this.parameterSpace = parameterSpace; - this.dataParameters = dataParameters; - this.initDone = initDone; - } - - protected void initialize() { - if(!initDone) { - //First: collect leaf parameter spaces objects and remove duplicates - List noDuplicatesList = LeafUtils.getUniqueObjects(parameterSpace.collectLeaves()); - - //Second: assign each a number - int i = 0; - for (ParameterSpace ps : noDuplicatesList) { - int np = ps.numParameters(); - if (np == 1) { - ps.setIndices(i++); - } else { - int[] values = new int[np]; - for (int j = 0; j < np; j++) - values[j] = i++; - ps.setIndices(values); - } - } - initDone = true; - } - } - - @Override - public ParameterSpace getParameterSpace() { - return parameterSpace; - } - - @Override - public void reportResults(OptimizationResult result) { - //No op - } - - @Override - public void setRngSeed(long rngSeed) { - rng.setSeed(rngSeed); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/GeneticSearchCandidateGenerator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/GeneticSearchCandidateGenerator.java deleted file mode 100644 index 564c194ba..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/GeneticSearchCandidateGenerator.java +++ /dev/null @@ -1,187 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator; - -import lombok.Getter; -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.ChromosomeFactory; -import org.deeplearning4j.arbiter.optimize.generator.genetic.exceptions.GeneticGenerationException; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.EmptyPopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.generator.genetic.selection.GeneticSelectionOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.selection.SelectionOperator; - -import java.util.Map; - -/** - * Uses a genetic algorithm to generate candidates. - * - * @author Alexandre Boulanger - */ -@Slf4j -public class GeneticSearchCandidateGenerator extends BaseCandidateGenerator { - - @Getter - protected final PopulationModel populationModel; - - protected final ChromosomeFactory chromosomeFactory; - protected final SelectionOperator selectionOperator; - - protected boolean hasMoreCandidates = true; - - public static class Builder { - protected final ParameterSpace parameterSpace; - - protected Map dataParameters; - protected boolean initDone; - protected boolean minimizeScore; - protected PopulationModel populationModel; - protected ChromosomeFactory chromosomeFactory; - protected SelectionOperator selectionOperator; - - /** - * @param parameterSpace ParameterSpace from which to generate candidates - * @param scoreFunction The score function that will be used in the OptimizationConfiguration - */ - public Builder(ParameterSpace parameterSpace, ScoreFunction scoreFunction) { - this.parameterSpace = parameterSpace; - this.minimizeScore = scoreFunction.minimize(); - } - - /** - * @param populationModel The PopulationModel instance to use. - */ - public Builder populationModel(PopulationModel populationModel) { - this.populationModel = populationModel; - return this; - } - - /** - * @param selectionOperator The SelectionOperator to use. Default is GeneticSelectionOperator - */ - public Builder selectionOperator(SelectionOperator selectionOperator) { - this.selectionOperator = selectionOperator; - return this; - } - - public Builder dataParameters(Map dataParameters) { - - this.dataParameters = dataParameters; - return this; - } - - public GeneticSearchCandidateGenerator.Builder initDone(boolean initDone) { - this.initDone = initDone; - return this; - } - - /** - * @param chromosomeFactory The ChromosomeFactory to use - */ - public Builder chromosomeFactory(ChromosomeFactory chromosomeFactory) { - this.chromosomeFactory = chromosomeFactory; - return this; - } - - public GeneticSearchCandidateGenerator build() { - if (populationModel == null) { - PopulationInitializer defaultPopulationInitializer = new EmptyPopulationInitializer(); - populationModel = new PopulationModel.Builder().populationInitializer(defaultPopulationInitializer) - .build(); - } - - if (chromosomeFactory == null) { - chromosomeFactory = new ChromosomeFactory(); - } - - if (selectionOperator == null) { - selectionOperator = new GeneticSelectionOperator.Builder().build(); - } - - return new GeneticSearchCandidateGenerator(this); - } - } - - private GeneticSearchCandidateGenerator(Builder builder) { - super(builder.parameterSpace, builder.dataParameters, builder.initDone); - - initialize(); - - chromosomeFactory = builder.chromosomeFactory; - populationModel = builder.populationModel; - selectionOperator = builder.selectionOperator; - - chromosomeFactory.initializeInstance(builder.parameterSpace.numParameters()); - populationModel.initializeInstance(builder.minimizeScore); - selectionOperator.initializeInstance(populationModel, chromosomeFactory); - - } - - @Override - public boolean hasMoreCandidates() { - return hasMoreCandidates; - } - - @Override - public Candidate getCandidate() { - - double[] values = null; - Object value = null; - Exception e = null; - - try { - values = selectionOperator.buildNextGenes(); - value = parameterSpace.getValue(values); - } catch (GeneticGenerationException e2) { - log.warn("Error generating candidate", e2); - e = e2; - hasMoreCandidates = false; - } catch (Exception e2) { - log.warn("Error getting configuration for candidate", e2); - e = e2; - } - - return new Candidate(value, candidateCounter.getAndIncrement(), values, dataParameters, e); - } - - @Override - public Class getCandidateType() { - return null; - } - - @Override - public String toString() { - return "GeneticSearchCandidateGenerator"; - } - - @Override - public void reportResults(OptimizationResult result) { - if (result.getScore() == null) { - return; - } - - Chromosome newChromosome = chromosomeFactory.createChromosome(result.getCandidate().getFlatParameters(), - result.getScore()); - populationModel.add(newChromosome); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/GridSearchCandidateGenerator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/GridSearchCandidateGenerator.java deleted file mode 100644 index c61b62d8b..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/GridSearchCandidateGenerator.java +++ /dev/null @@ -1,232 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator; - -import lombok.EqualsAndHashCode; -import lombok.Getter; -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.math3.random.RandomAdaptor; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.*; -import java.util.concurrent.ConcurrentLinkedQueue; - - -/** - * GridSearchCandidateGenerator: generates candidates in an exhaustive grid search manner.
- * Note that:
- * - For discrete parameters: the grid size (# values to check per hyperparameter) is equal to the number of values for - * that hyperparameter
- * - For integer parameters: the grid size is equal to {@code min(discretizationCount,max-min+1)}. Some integer ranges can - * be large, and we don't necessarily want to exhaustively search them. {@code discretizationCount} is a constructor argument
- * - For continuous parameters: the grid size is equal to {@code discretizationCount}.
- * In all cases, the minimum, maximum and gridSize-2 values between the min/max will be generated.
- * Also note that: if a probability distribution is provided for continuous hyperparameters, this will be taken into account - * when generating candidates. This allows the grid for a hyperparameter to be non-linear: i.e., for example, linear in log space - * - * @author Alex Black - */ -@Slf4j -@EqualsAndHashCode(exclude = {"order"}, callSuper = true) -@JsonIgnoreProperties({"numValuesPerParam", "totalNumCandidates", "order", "candidateCounter", "rng", "candidate"}) -public class GridSearchCandidateGenerator extends BaseCandidateGenerator { - - /** - * In what order should candidates be generated?
- * Sequential: generate candidates in order. The first hyperparameter will be changed most rapidly, and the last - * will be changed least rapidly.
- * RandomOrder: generate candidates in a random order
- * In both cases, the same candidates will be generated; only the order of generation is different - */ - public enum Mode { - Sequential, RandomOrder - } - - private final int discretizationCount; - private final Mode mode; - - private int[] numValuesPerParam; - @Getter - private int totalNumCandidates; - private Queue order; - - /** - * @param parameterSpace ParameterSpace from which to generate candidates - * @param discretizationCount For continuous parameters: into how many values should we discretize them into? - * For example, suppose continuous parameter is in range [0,1] with 3 bins: - * do [0.0, 0.5, 1.0]. Note that if all values - * @param mode {@link GridSearchCandidateGenerator.Mode} specifies the order - * in which candidates should be generated. - */ - public GridSearchCandidateGenerator(@JsonProperty("parameterSpace") ParameterSpace parameterSpace, - @JsonProperty("discretizationCount") int discretizationCount, @JsonProperty("mode") Mode mode, - @JsonProperty("dataParameters") Map dataParameters, - @JsonProperty("initDone") boolean initDone) { - super(parameterSpace, dataParameters, initDone); - this.discretizationCount = discretizationCount; - this.mode = mode; - initialize(); - } - - /** - * @param parameterSpace ParameterSpace from which to generate candidates - * @param discretizationCount For continuous parameters: into how many values should we discretize them into? - * For example, suppose continuous parameter is in range [0,1] with 3 bins: - * do [0.0, 0.5, 1.0]. Note that if all values - * @param mode {@link GridSearchCandidateGenerator.Mode} specifies the order - * in which candidates should be generated. - */ - public GridSearchCandidateGenerator(ParameterSpace parameterSpace, int discretizationCount, Mode mode, - Map dataParameters){ - this(parameterSpace, discretizationCount, mode, dataParameters, false); - } - - @Override - protected void initialize() { - super.initialize(); - - List leaves = LeafUtils.getUniqueObjects(parameterSpace.collectLeaves()); - int nParams = leaves.size(); - - //Work out for each parameter: is it continuous or discrete? - // for grid search: discrete values are grid-searchable as-is - // continuous values: discretize using 'discretizationCount' bins - // integer values: use min(max-min+1, discretizationCount) values. i.e., discretize if necessary - numValuesPerParam = new int[nParams]; - long searchSize = 1; - for (int i = 0; i < nParams; i++) { - ParameterSpace ps = leaves.get(i); - if (ps instanceof DiscreteParameterSpace) { - DiscreteParameterSpace dps = (DiscreteParameterSpace) ps; - numValuesPerParam[i] = dps.numValues(); - } else if (ps instanceof IntegerParameterSpace) { - IntegerParameterSpace ips = (IntegerParameterSpace) ps; - int min = ips.getMin(); - int max = ips.getMax(); - //Discretize, as some integer ranges are much too large to search (i.e., num. neural network units, between 100 and 1000) - numValuesPerParam[i] = Math.min(max - min + 1, discretizationCount); - } else if (ps instanceof FixedValue){ - numValuesPerParam[i] = 1; - } else { - numValuesPerParam[i] = discretizationCount; - } - searchSize *= numValuesPerParam[i]; - } - - if (searchSize >= Integer.MAX_VALUE) - throw new IllegalStateException("Invalid search: cannot process search with " + searchSize - + " candidates > Integer.MAX_VALUE"); //TODO find a more reasonable upper bound? - - order = new ConcurrentLinkedQueue<>(); - - totalNumCandidates = (int) searchSize; - switch (mode) { - case Sequential: - for (int i = 0; i < totalNumCandidates; i++) { - order.add(i); - } - break; - case RandomOrder: - List tempList = new ArrayList<>(totalNumCandidates); - for (int i = 0; i < totalNumCandidates; i++) { - tempList.add(i); - } - - Collections.shuffle(tempList, new RandomAdaptor(rng)); - order.addAll(tempList); - break; - default: - throw new RuntimeException(); - } - - } - - @Override - public boolean hasMoreCandidates() { - return !order.isEmpty(); - } - - @Override - public Candidate getCandidate() { - int next = order.remove(); - - //Next: max integer (candidate number) to values - double[] values = indexToValues(numValuesPerParam, next, totalNumCandidates); - - Object value = null; - Exception e = null; - try { - value = parameterSpace.getValue(values); - } catch (Exception e2) { - log.warn("Error getting configuration for candidate", e2); - e = e2; - } - - return new Candidate(value, candidateCounter.getAndIncrement(), values, dataParameters, e); - } - - @Override - public Class getCandidateType() { - return null; - } - - public static double[] indexToValues(int[] numValuesPerParam, int candidateIdx, int product) { - //How? first map to index of num possible values. Then: to double values in range 0 to 1 - // 0-> [0,0,0], 1-> [1,0,0], 2-> [2,0,0], 3-> [0,1,0] etc - //Based on: Nd4j Shape.ind2sub - - int countNon1 = 0; - for( int i : numValuesPerParam) - if(i > 1) - countNon1++; - - int denom = product; - int num = candidateIdx; - int[] index = new int[numValuesPerParam.length]; - - for (int i = index.length - 1; i >= 0; i--) { - denom /= numValuesPerParam[i]; - index[i] = num / denom; - num %= denom; - } - - //Now: convert indexes to values in range [0,1] - //min value -> 0 - //max value -> 1 - double[] out = new double[countNon1]; - int outIdx = 0; - for (int i = 0; i < numValuesPerParam.length; i++) { - if (numValuesPerParam[i] > 1){ - out[outIdx++] = index[i] / ((double) (numValuesPerParam[i] - 1)); - } - } - - return out; - } - - @Override - public String toString() { - return "GridSearchCandidateGenerator(mode=" + mode + ")"; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/RandomSearchGenerator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/RandomSearchGenerator.java deleted file mode 100644 index ecbccbf17..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/RandomSearchGenerator.java +++ /dev/null @@ -1,93 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator; - -import lombok.EqualsAndHashCode; -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.shade.jackson.annotation.JsonCreator; -import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.Map; - -/** - * RandomSearchGenerator: generates candidates at random.
- * Note: if a probability distribution is provided for continuous hyperparameters, - * this will be taken into account - * when generating candidates. This allows the search to be weighted more towards - * certain values according to a probability - * density. For example: generate samples for learning rate according to log uniform distribution - * - * @author Alex Black - */ -@Slf4j -@EqualsAndHashCode(callSuper = true) -@JsonIgnoreProperties({"numValuesPerParam", "totalNumCandidates", "order", "candidateCounter", "rng", "candidate"}) -public class RandomSearchGenerator extends BaseCandidateGenerator { - - @JsonCreator - public RandomSearchGenerator(@JsonProperty("parameterSpace") ParameterSpace parameterSpace, - @JsonProperty("dataParameters") Map dataParameters, - @JsonProperty("initDone") boolean initDone) { - super(parameterSpace, dataParameters, initDone); - initialize(); - } - - public RandomSearchGenerator(ParameterSpace parameterSpace, Map dataParameters){ - this(parameterSpace, dataParameters, false); - } - - public RandomSearchGenerator(ParameterSpace parameterSpace){ - this(parameterSpace, null, false); - } - - - @Override - public boolean hasMoreCandidates() { - return true; - } - - @Override - public Candidate getCandidate() { - double[] randomValues = new double[parameterSpace.numParameters()]; - for (int i = 0; i < randomValues.length; i++) - randomValues[i] = rng.nextDouble(); - - Object value = null; - Exception e = null; - try { - value = parameterSpace.getValue(randomValues); - } catch (Exception e2) { - log.warn("Error getting configuration for candidate", e2); - e = e2; - } - - return new Candidate(value, candidateCounter.getAndIncrement(), randomValues, dataParameters, e); - } - - @Override - public Class getCandidateType() { - return null; - } - - @Override - public String toString() { - return "RandomSearchGenerator"; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/Chromosome.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/Chromosome.java deleted file mode 100644 index 5d8d00f0f..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/Chromosome.java +++ /dev/null @@ -1,42 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic; - -import lombok.Data; - -/** - * Candidates are stored as Chromosome in the population model - * - * @author Alexandre Boulanger - */ -@Data -public class Chromosome { - /** - * The fitness score of the genes. - */ - protected final double fitness; - - /** - * The genes. - */ - protected final double[] genes; - - public Chromosome(double[] genes, double fitness) { - this.genes = genes; - this.fitness = fitness; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/ChromosomeFactory.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/ChromosomeFactory.java deleted file mode 100644 index ede86406a..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/ChromosomeFactory.java +++ /dev/null @@ -1,51 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic; - -/** - * A factory that builds new chromosomes. Used by the GeneticSearchCandidateGenerator. - * - * @author Alexandre Boulanger - */ -public class ChromosomeFactory { - private int chromosomeLength; - - /** - * Called by the GeneticSearchCandidateGenerator. - */ - public void initializeInstance(int chromosomeLength) { - this.chromosomeLength = chromosomeLength; - } - - /** - * Create a new instance of a Chromosome - * - * @param genes The genes - * @param fitness The fitness score - * @return A new instance of Chromosome - */ - public Chromosome createChromosome(double[] genes, double fitness) { - return new Chromosome(genes, fitness); - } - - /** - * @return The number of genes in a chromosome - */ - public int getChromosomeLength() { - return chromosomeLength; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/ArithmeticCrossover.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/ArithmeticCrossover.java deleted file mode 100644 index 978e7166b..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/ArithmeticCrossover.java +++ /dev/null @@ -1,120 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.RandomTwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.nd4j.common.base.Preconditions; - -/** - * A crossover operator that linearly combines the genes of two parents.
- * When a crossover is generated (with a of probability crossover rate), each genes is a linear combination of the corresponding genes of the parents. - *

- * t*parentA + (1-t)*parentB, where t is [0, 1] and different for each gene. - * - * @author Alexandre Boulanger - */ -public class ArithmeticCrossover extends TwoParentsCrossoverOperator { - private static final double DEFAULT_CROSSOVER_RATE = 0.85; - - private final double crossoverRate; - private final RandomGenerator rng; - - public static class Builder { - private double crossoverRate = DEFAULT_CROSSOVER_RATE; - private RandomGenerator rng; - private TwoParentSelection parentSelection; - - /** - * The probability that the operator generates a crossover (default 0.85). - * - * @param rate A value between 0.0 and 1.0 - */ - public Builder crossoverRate(double rate) { - Preconditions.checkState(rate >= 0.0 && rate <= 1.0, "Rate must be between 0.0 and 1.0, got %s", rate); - - this.crossoverRate = rate; - return this; - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public Builder randomGenerator(RandomGenerator rng) { - this.rng = rng; - return this; - } - - /** - * The parent selection behavior. Default is random parent selection. - * - * @param parentSelection An instance of TwoParentSelection - */ - public Builder parentSelection(TwoParentSelection parentSelection) { - this.parentSelection = parentSelection; - return this; - } - - public ArithmeticCrossover build() { - if (rng == null) { - rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - } - - if (parentSelection == null) { - parentSelection = new RandomTwoParentSelection(); - } - - return new ArithmeticCrossover(this); - } - } - - private ArithmeticCrossover(ArithmeticCrossover.Builder builder) { - super(builder.parentSelection); - - this.crossoverRate = builder.crossoverRate; - this.rng = builder.rng; - } - - /** - * Has a probability crossoverRate of performing the crossover where each gene is a linear combination of:
- * t*parentA + (1-t)*parentB, where t is [0, 1] and different for each gene.
- * Otherwise, returns the genes of a random parent. - * - * @return The crossover result. See {@link CrossoverResult}. - */ - @Override - public CrossoverResult crossover() { - double[][] parents = parentSelection.selectParents(); - - double[] offspringValues = new double[parents[0].length]; - - if (rng.nextDouble() < crossoverRate) { - for (int i = 0; i < offspringValues.length; ++i) { - double t = rng.nextDouble(); - offspringValues[i] = t * parents[0][i] + (1.0 - t) * parents[1][i]; - } - return new CrossoverResult(true, offspringValues); - } - - return new CrossoverResult(false, parents[0]); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/CrossoverOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/CrossoverOperator.java deleted file mode 100644 index cfae61e09..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/CrossoverOperator.java +++ /dev/null @@ -1,45 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; - -/** - * Abstract class for all crossover operators - * - * @author Alexandre Boulanger - */ -public abstract class CrossoverOperator { - protected PopulationModel populationModel; - - /** - * Will be called by the selection operator once the population model is instantiated. - */ - public void initializeInstance(PopulationModel populationModel) { - this.populationModel = populationModel; - } - - /** - * Performs the crossover - * - * @return The crossover result. See {@link CrossoverResult}. - */ - public abstract CrossoverResult crossover(); - - - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/CrossoverResult.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/CrossoverResult.java deleted file mode 100644 index 68b7bdecb..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/CrossoverResult.java +++ /dev/null @@ -1,43 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import lombok.Data; - -/** - * Returned by a crossover operator - * - * @author Alexandre Boulanger - */ -@Data -public class CrossoverResult { - /** - * If false, there was no crossover and the operator simply returned the genes of a random parent. - * If true, the genes are the result of a crossover. - */ - private final boolean isModified; - - /** - * The genes returned by the operator. - */ - private final double[] genes; - - public CrossoverResult(boolean isModified, double[] genes) { - this.isModified = isModified; - this.genes = genes; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/KPointCrossover.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/KPointCrossover.java deleted file mode 100644 index 8a7bb3a2a..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/KPointCrossover.java +++ /dev/null @@ -1,178 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.RandomTwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.utils.CrossoverPointsGenerator; -import org.nd4j.common.base.Preconditions; - -import java.util.Deque; - -/** -* The K-Point crossover will select at random multiple crossover points.
-* Each gene comes from one of the two parents. Each time a crossover point is reached, the parent is switched. -*/ -public class KPointCrossover extends TwoParentsCrossoverOperator { - private static final double DEFAULT_CROSSOVER_RATE = 0.85; - private static final int DEFAULT_MIN_CROSSOVER = 1; - private static final int DEFAULT_MAX_CROSSOVER = 4; - - private final double crossoverRate; - private final int minCrossovers; - private final int maxCrossovers; - - private final RandomGenerator rng; - - public static class Builder { - private double crossoverRate = DEFAULT_CROSSOVER_RATE; - private int minCrossovers = DEFAULT_MIN_CROSSOVER; - private int maxCrossovers = DEFAULT_MAX_CROSSOVER; - private RandomGenerator rng; - private TwoParentSelection parentSelection; - - /** - * The probability that the operator generates a crossover (default 0.85). - * - * @param rate A value between 0.0 and 1.0 - */ - public Builder crossoverRate(double rate) { - Preconditions.checkState(rate >= 0.0 && rate <= 1.0, "Rate must be between 0.0 and 1.0, got %s", rate); - - this.crossoverRate = rate; - return this; - } - - /** - * The number of crossovers points (default is min 1, max 4) - * - * @param min The minimum number - * @param max The maximum number - */ - public Builder numCrossovers(int min, int max) { - Preconditions.checkState(max >= 0 && min >= 0, "Min and max must be positive"); - Preconditions.checkState(max >= min, "Max must be greater or equal to min"); - - this.minCrossovers = min; - this.maxCrossovers = max; - return this; - } - - /** - * Use a fixed number of crossover points - * - * @param num The number of crossovers - */ - public Builder numCrossovers(int num) { - Preconditions.checkState(num >= 0, "Num must be positive"); - - this.minCrossovers = num; - this.maxCrossovers = num; - return this; - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public Builder randomGenerator(RandomGenerator rng) { - this.rng = rng; - return this; - } - - /** - * The parent selection behavior. Default is random parent selection. - * - * @param parentSelection An instance of TwoParentSelection - */ - public Builder parentSelection(TwoParentSelection parentSelection) { - this.parentSelection = parentSelection; - return this; - } - - public KPointCrossover build() { - if (rng == null) { - rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - } - - if (parentSelection == null) { - parentSelection = new RandomTwoParentSelection(); - } - - return new KPointCrossover(this); - } - } - - private CrossoverPointsGenerator crossoverPointsGenerator; - - private KPointCrossover(KPointCrossover.Builder builder) { - super(builder.parentSelection); - - this.crossoverRate = builder.crossoverRate; - this.maxCrossovers = builder.maxCrossovers; - this.minCrossovers = builder.minCrossovers; - this.rng = builder.rng; - } - - private CrossoverPointsGenerator getCrossoverPointsGenerator(int chromosomeLength) { - if (crossoverPointsGenerator == null) { - crossoverPointsGenerator = - new CrossoverPointsGenerator(chromosomeLength, minCrossovers, maxCrossovers, rng); - } - - return crossoverPointsGenerator; - } - - /** - * Has a probability crossoverRate of performing the crossover where the operator will select at random multiple crossover points.
- * Each gene comes from one of the two parents. Each time a crossover point is reached, the parent is switched.
- * Otherwise, returns the genes of a random parent. - * - * @return The crossover result. See {@link CrossoverResult}. - */ - @Override - public CrossoverResult crossover() { - double[][] parents = parentSelection.selectParents(); - - boolean isModified = false; - double[] resultGenes = parents[0]; - - if (rng.nextDouble() < crossoverRate) { - // Select crossover points - Deque crossoverPoints = getCrossoverPointsGenerator(parents[0].length).getCrossoverPoints(); - - // Crossover - resultGenes = new double[parents[0].length]; - int currentParent = 0; - int nextCrossover = crossoverPoints.pop(); - for (int i = 0; i < resultGenes.length; ++i) { - if (i == nextCrossover) { - currentParent = currentParent == 0 ? 1 : 0; - nextCrossover = crossoverPoints.pop(); - } - resultGenes[i] = parents[currentParent][i]; - } - isModified = true; - } - - return new CrossoverResult(isModified, resultGenes); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/SinglePointCrossover.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/SinglePointCrossover.java deleted file mode 100644 index cbeca1232..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/SinglePointCrossover.java +++ /dev/null @@ -1,123 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.RandomTwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.nd4j.common.base.Preconditions; - -/** - * The single point crossover will select a random point where every genes before that point comes from one parent - * and after which every genes comes from the other parent. - * - * @author Alexandre Boulanger - */ -public class SinglePointCrossover extends TwoParentsCrossoverOperator { - private static final double DEFAULT_CROSSOVER_RATE = 0.85; - - private final RandomGenerator rng; - private final double crossoverRate; - - public static class Builder { - private double crossoverRate = DEFAULT_CROSSOVER_RATE; - private RandomGenerator rng; - private TwoParentSelection parentSelection; - - /** - * The probability that the operator generates a crossover (default 0.85). - * - * @param rate A value between 0.0 and 1.0 - */ - public Builder crossoverRate(double rate) { - Preconditions.checkState(rate >= 0.0 && rate <= 1.0, "Rate must be between 0.0 and 1.0, got %s", rate); - - this.crossoverRate = rate; - return this; - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public Builder randomGenerator(RandomGenerator rng) { - this.rng = rng; - return this; - } - - /** - * The parent selection behavior. Default is random parent selection. - * - * @param parentSelection An instance of TwoParentSelection - */ - public Builder parentSelection(TwoParentSelection parentSelection) { - this.parentSelection = parentSelection; - return this; - } - - public SinglePointCrossover build() { - if (rng == null) { - rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - } - - if (parentSelection == null) { - parentSelection = new RandomTwoParentSelection(); - } - - return new SinglePointCrossover(this); - } - } - - private SinglePointCrossover(SinglePointCrossover.Builder builder) { - super(builder.parentSelection); - - this.crossoverRate = builder.crossoverRate; - this.rng = builder.rng; - } - - /** - * Has a probability crossoverRate of performing the crossover where the operator will select a random crossover point.
- * Each gene before this point comes from one of the two parents and each gene at or after this point comes from the other parent. - * Otherwise, returns the genes of a random parent. - * - * @return The crossover result. See {@link CrossoverResult}. - */ - public CrossoverResult crossover() { - double[][] parents = parentSelection.selectParents(); - - boolean isModified = false; - double[] resultGenes = parents[0]; - - if (rng.nextDouble() < crossoverRate) { - int chromosomeLength = parents[0].length; - - // Crossover - resultGenes = new double[chromosomeLength]; - - int crossoverPoint = rng.nextInt(chromosomeLength); - for (int i = 0; i < resultGenes.length; ++i) { - resultGenes[i] = ((i < crossoverPoint) ? parents[0] : parents[1])[i]; - } - isModified = true; - } - - return new CrossoverResult(isModified, resultGenes); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/TwoParentsCrossoverOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/TwoParentsCrossoverOperator.java deleted file mode 100644 index 69f1fb105..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/TwoParentsCrossoverOperator.java +++ /dev/null @@ -1,46 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; - -/** - * Abstract class for all crossover operators that applies to two parents. - * - * @author Alexandre Boulanger - */ -public abstract class TwoParentsCrossoverOperator extends CrossoverOperator { - - protected final TwoParentSelection parentSelection; - - /** - * @param parentSelection A parent selection that selects two parents. - */ - protected TwoParentsCrossoverOperator(TwoParentSelection parentSelection) { - this.parentSelection = parentSelection; - } - - /** - * Will be called by the selection operator once the population model is instantiated. - */ - @Override - public void initializeInstance(PopulationModel populationModel) { - super.initializeInstance(populationModel); - parentSelection.initializeInstance(populationModel.getPopulation()); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/UniformCrossover.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/UniformCrossover.java deleted file mode 100644 index 8912a1298..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/UniformCrossover.java +++ /dev/null @@ -1,136 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.RandomTwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.nd4j.common.base.Preconditions; - -/** - * The uniform crossover will, for each gene, randomly select the parent that donates the gene. - * - * @author Alexandre Boulanger - */ -public class UniformCrossover extends TwoParentsCrossoverOperator { - private static final double DEFAULT_CROSSOVER_RATE = 0.85; - private static final double DEFAULT_PARENT_BIAS_FACTOR = 0.5; - - private final double crossoverRate; - private final double parentBiasFactor; - private final RandomGenerator rng; - - public static class Builder { - private double crossoverRate = DEFAULT_CROSSOVER_RATE; - private double parentBiasFactor = DEFAULT_PARENT_BIAS_FACTOR; - private RandomGenerator rng; - private TwoParentSelection parentSelection; - - /** - * The probability that the operator generates a crossover (default 0.85). - * - * @param rate A value between 0.0 and 1.0 - */ - public Builder crossoverRate(double rate) { - Preconditions.checkState(rate >= 0.0 && rate <= 1.0, "Rate must be between 0.0 and 1.0, got %s", rate); - - this.crossoverRate = rate; - return this; - } - - /** - * A factor that will introduce a bias in the parent selection.
- * - * @param factor In the range [0, 1]. 0 will only select the first parent while 1 only select the second one. The default is 0.5; no bias. - */ - public Builder parentBiasFactor(double factor) { - Preconditions.checkState(factor >= 0.0 && factor <= 1.0, "Factor must be between 0.0 and 1.0, got %s", - factor); - - this.parentBiasFactor = factor; - return this; - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public Builder randomGenerator(RandomGenerator rng) { - this.rng = rng; - return this; - } - - /** - * The parent selection behavior. Default is random parent selection. - * - * @param parentSelection An instance of TwoParentSelection - */ - public Builder parentSelection(TwoParentSelection parentSelection) { - this.parentSelection = parentSelection; - return this; - } - - public UniformCrossover build() { - if (rng == null) { - rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - } - if (parentSelection == null) { - parentSelection = new RandomTwoParentSelection(); - } - return new UniformCrossover(this); - } - } - - private UniformCrossover(UniformCrossover.Builder builder) { - super(builder.parentSelection); - - this.crossoverRate = builder.crossoverRate; - this.parentBiasFactor = builder.parentBiasFactor; - this.rng = builder.rng; - } - - /** - * Has a probability crossoverRate of performing the crossover where the operator will select randomly which parent donates the gene.
- * One of the parent may be favored if the bias is different than 0.5 - * Otherwise, returns the genes of a random parent. - * - * @return The crossover result. See {@link CrossoverResult}. - */ - @Override - public CrossoverResult crossover() { - // select the parents - double[][] parents = parentSelection.selectParents(); - - double[] resultGenes = parents[0]; - boolean isModified = false; - - if (rng.nextDouble() < crossoverRate) { - // Crossover - resultGenes = new double[parents[0].length]; - - for (int i = 0; i < resultGenes.length; ++i) { - resultGenes[i] = ((rng.nextDouble() < parentBiasFactor) ? parents[0] : parents[1])[i]; - } - isModified = true; - } - - return new CrossoverResult(isModified, resultGenes); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/ParentSelection.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/ParentSelection.java deleted file mode 100644 index 4fa9ed17c..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/ParentSelection.java +++ /dev/null @@ -1,44 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; - -import java.util.List; - -/** - * Abstract class for all parent selection behaviors - * - * @author Alexandre Boulanger - */ -public abstract class ParentSelection { - protected List population; - - /** - * Will be called by the crossover operator once the population model is instantiated. - */ - public void initializeInstance(List population) { - this.population = population; - } - - /** - * Performs the parent selection - * - * @return An array of parents genes. The outer array are the parents, and the inner array are the genes. - */ - public abstract double[][] selectParents(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/RandomTwoParentSelection.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/RandomTwoParentSelection.java deleted file mode 100644 index 81baeb07c..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/RandomTwoParentSelection.java +++ /dev/null @@ -1,65 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; - -/** - * A parent selection behavior that returns two random parents. - * - * @author Alexandre Boulanger - */ -public class RandomTwoParentSelection extends TwoParentSelection { - - private final RandomGenerator rng; - - public RandomTwoParentSelection() { - this(new SynchronizedRandomGenerator(new JDKRandomGenerator())); - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public RandomTwoParentSelection(RandomGenerator rng) { - this.rng = rng; - } - - /** - * Selects two random parents - * - * @return An array of parents genes. The outer array are the parents, and the inner array are the genes. - */ - @Override - public double[][] selectParents() { - double[][] parents = new double[2][]; - - int parent1Idx = rng.nextInt(population.size()); - int parent2Idx; - do { - parent2Idx = rng.nextInt(population.size()); - } while (parent1Idx == parent2Idx); - - parents[0] = population.get(parent1Idx).getGenes(); - parents[1] = population.get(parent2Idx).getGenes(); - - return parents; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/TwoParentSelection.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/TwoParentSelection.java deleted file mode 100644 index b4b4f4843..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/parentselection/TwoParentSelection.java +++ /dev/null @@ -1,25 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection; - -/** - * Abstract class for all parent selection behaviors that selects two parents. - * - * @author Alexandre Boulanger - */ -public abstract class TwoParentSelection extends ParentSelection { -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/utils/CrossoverPointsGenerator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/utils/CrossoverPointsGenerator.java deleted file mode 100644 index 7e6e799e7..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/crossover/utils/CrossoverPointsGenerator.java +++ /dev/null @@ -1,68 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.utils; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.KPointCrossover; - -import java.util.*; - -/** - * A helper class used by {@link KPointCrossover} to generate the crossover points - * - * @author Alexandre Boulanger - */ -public class CrossoverPointsGenerator { - private final int minCrossovers; - private final int maxCrossovers; - private final RandomGenerator rng; - private List parameterIndexes; - - /** - * Constructor - * - * @param chromosomeLength The number of genes - * @param minCrossovers The minimum number of crossover points to generate - * @param maxCrossovers The maximum number of crossover points to generate - * @param rng A RandomGenerator instance - */ - public CrossoverPointsGenerator(int chromosomeLength, int minCrossovers, int maxCrossovers, RandomGenerator rng) { - this.minCrossovers = minCrossovers; - this.maxCrossovers = maxCrossovers; - this.rng = rng; - parameterIndexes = new ArrayList(); - for (int i = 0; i < chromosomeLength; ++i) { - parameterIndexes.add(i); - } - } - - /** - * Generate a list of crossover points. - * - * @return An ordered list of crossover point indexes and with Integer.MAX_VALUE as the last element - */ - public Deque getCrossoverPoints() { - Collections.shuffle(parameterIndexes); - List crossoverPointLists = - parameterIndexes.subList(0, rng.nextInt(maxCrossovers - minCrossovers) + minCrossovers); - Collections.sort(crossoverPointLists); - Deque crossoverPoints = new ArrayDeque(crossoverPointLists); - crossoverPoints.add(Integer.MAX_VALUE); - - return crossoverPoints; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/CullOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/CullOperator.java deleted file mode 100644 index 95452a7eb..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/CullOperator.java +++ /dev/null @@ -1,41 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.culling; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; - -/** - * The cull operator will remove from the population the least desirables chromosomes. - * - * @author Alexandre Boulanger - */ -public interface CullOperator { - /** - * Will be called by the population model once created. - */ - void initializeInstance(PopulationModel populationModel); - - /** - * Cull the population to the culled size. - */ - void cullPopulation(); - - /** - * @return The target population size after culling. - */ - int getCulledSize(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/LeastFitCullOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/LeastFitCullOperator.java deleted file mode 100644 index 6ec5c64df..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/LeastFitCullOperator.java +++ /dev/null @@ -1,50 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.culling; - -/** - * An elitist cull operator that discards the chromosomes with the worst fitness while keeping the best ones. - * - * @author Alexandre Boulanger - */ -public class LeastFitCullOperator extends RatioCullOperator { - - /** - * The default cull ratio is 1/3. - */ - public LeastFitCullOperator() { - super(); - } - - /** - * @param cullRatio The ratio of the maximum population size to be culled.
- * For example, a ratio of 1/3 on a population with a maximum size of 30 will cull back a given population to 20. - */ - public LeastFitCullOperator(double cullRatio) { - super(cullRatio); - } - - /** - * Will discard the chromosomes with the worst fitness until the population size fall back at the culled size. - */ - @Override - public void cullPopulation() { - while (population.size() > culledSize) { - population.remove(population.size() - 1); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/RatioCullOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/RatioCullOperator.java deleted file mode 100644 index 9c838acc8..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/culling/RatioCullOperator.java +++ /dev/null @@ -1,70 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.culling; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.nd4j.common.base.Preconditions; - -import java.util.List; - -/** - * An abstract base for cull operators that culls back the population to a ratio of its maximum size. - * - * @author Alexandre Boulanger - */ -public abstract class RatioCullOperator implements CullOperator { - private static final double DEFAULT_CULL_RATIO = 1.0 / 3.0; - protected int culledSize; - protected List population; - protected final double cullRatio; - - /** - * @param cullRatio The ratio of the maximum population size to be culled.
- * For example, a ratio of 1/3 on a population with a maximum size of 30 will cull back a given population to 20. - */ - public RatioCullOperator(double cullRatio) { - Preconditions.checkState(cullRatio >= 0.0 && cullRatio <= 1.0, "Cull ratio must be between 0.0 and 1.0, got %s", - cullRatio); - - this.cullRatio = cullRatio; - } - - /** - * The default cull ratio is 1/3 - */ - public RatioCullOperator() { - this(DEFAULT_CULL_RATIO); - } - - /** - * Will be called by the population model once created. - */ - public void initializeInstance(PopulationModel populationModel) { - this.population = populationModel.getPopulation(); - culledSize = (int) (populationModel.getPopulationSize() * (1.0 - cullRatio) + 0.5); - } - - /** - * @return The target population size after culling. - */ - @Override - public int getCulledSize() { - return culledSize; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/exceptions/GeneticGenerationException.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/exceptions/GeneticGenerationException.java deleted file mode 100644 index b0a9a42b3..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/exceptions/GeneticGenerationException.java +++ /dev/null @@ -1,23 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.exceptions; - -public class GeneticGenerationException extends RuntimeException { - public GeneticGenerationException(String message) { - super(message); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/mutation/MutationOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/mutation/MutationOperator.java deleted file mode 100644 index 56f459a73..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/mutation/MutationOperator.java +++ /dev/null @@ -1,33 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.mutation; - -/** - * The mutation operator will apply a mutation to the given genes. - * - * @author Alexandre Boulanger - */ -public interface MutationOperator { - - /** - * Performs a mutation. - * - * @param genes The genes to be mutated - * @return True if the genes were mutated, otherwise false. - */ - boolean mutate(double[] genes); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/mutation/RandomMutationOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/mutation/RandomMutationOperator.java deleted file mode 100644 index ba10676b6..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/mutation/RandomMutationOperator.java +++ /dev/null @@ -1,93 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.mutation; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; -import org.nd4j.common.base.Preconditions; - -/** - * A mutation operator where each gene has a chance of being mutated with a mutation rate probability. - * - * @author Alexandre Boulanger - */ -public class RandomMutationOperator implements MutationOperator { - private static final double DEFAULT_MUTATION_RATE = 0.005; - - private final double mutationRate; - private final RandomGenerator rng; - - public static class Builder { - private double mutationRate = DEFAULT_MUTATION_RATE; - private RandomGenerator rng; - - /** - * Each gene will have this probability of being mutated. - * - * @param rate The mutation rate. (default 0.005) - */ - public Builder mutationRate(double rate) { - Preconditions.checkState(rate >= 0.0 && rate <= 1.0, "Rate must be between 0.0 and 1.0, got %s", rate); - - this.mutationRate = rate; - return this; - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public Builder randomGenerator(RandomGenerator rng) { - this.rng = rng; - return this; - } - - public RandomMutationOperator build() { - if (rng == null) { - rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - } - return new RandomMutationOperator(this); - } - } - - private RandomMutationOperator(RandomMutationOperator.Builder builder) { - this.mutationRate = builder.mutationRate; - this.rng = builder.rng; - } - - /** - * Performs the mutation. Each gene has a mutation rate probability of being mutated. - * - * @param genes The genes to be mutated - * @return True if the genes were mutated, otherwise false. - */ - @Override - public boolean mutate(double[] genes) { - boolean hasMutation = false; - - for (int i = 0; i < genes.length; ++i) { - if (rng.nextDouble() < mutationRate) { - genes[i] = rng.nextDouble(); - hasMutation = true; - } - } - - return hasMutation; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/EmptyPopulationInitializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/EmptyPopulationInitializer.java deleted file mode 100644 index 20c147385..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/EmptyPopulationInitializer.java +++ /dev/null @@ -1,41 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.population; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; - -import java.util.ArrayList; -import java.util.List; - -/** - * A population initializer that build an empty population. - * - * @author Alexandre Boulanger - */ -public class EmptyPopulationInitializer implements PopulationInitializer { - - /** - * Initialize an empty population - * - * @param size The maximum size of the population. - * @return The initialized population. - */ - @Override - public List getInitializedPopulation(int size) { - return new ArrayList<>(size); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationInitializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationInitializer.java deleted file mode 100644 index 40dd4f438..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationInitializer.java +++ /dev/null @@ -1,36 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.population; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; - -import java.util.List; - -/** - * An initializer that construct the population used by the population model. - * - * @author Alexandre Boulanger - */ -public interface PopulationInitializer { - /** - * Called by the population model to construct the population - * - * @param size The maximum size of the population - * @return An initialized population - */ - List getInitializedPopulation(int size); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationListener.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationListener.java deleted file mode 100644 index aca266b57..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationListener.java +++ /dev/null @@ -1,35 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.population; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; - -import java.util.List; - -/** - * A listener that is called when the population changes. - * - * @author Alexandre Boulanger - */ -public interface PopulationListener { - /** - * Called after the population has changed. - * - * @param population The population after it has changed. - */ - void onChanged(List population); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationModel.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationModel.java deleted file mode 100644 index 9c5a4c7e1..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/population/PopulationModel.java +++ /dev/null @@ -1,182 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.population; - -import lombok.Getter; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.culling.CullOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.culling.LeastFitCullOperator; - -import java.util.ArrayList; -import java.util.Collections; -import java.util.Comparator; -import java.util.List; - -/** - * The population model handles all aspects of the population (initialization, additions and culling) - * - * @author Alexandre Boulanger - */ -public class PopulationModel { - private static final int DEFAULT_POPULATION_SIZE = 30; - - private final CullOperator cullOperator; - private final List populationListeners = new ArrayList<>(); - private Comparator chromosomeComparator; - - /** - * The maximum population size - */ - @Getter - private final int populationSize; - - /** - * The population - */ - @Getter - public final List population; - - /** - * A comparator used when higher fitness value is better - */ - public static class MaximizeScoreComparator implements Comparator { - @Override - public int compare(Chromosome lhs, Chromosome rhs) { - return -Double.compare(lhs.getFitness(), rhs.getFitness()); - } - } - - /** - * A comparator used when lower fitness value is better - */ - public static class MinimizeScoreComparator implements Comparator { - @Override - public int compare(Chromosome lhs, Chromosome rhs) { - return Double.compare(lhs.getFitness(), rhs.getFitness()); - } - } - - public static class Builder { - private int populationSize = DEFAULT_POPULATION_SIZE; - private PopulationInitializer populationInitializer; - private CullOperator cullOperator; - - /** - * Use an alternate population initialization behavior. Default is empty population. - * - * @param populationInitializer An instance of PopulationInitializer - */ - public Builder populationInitializer(PopulationInitializer populationInitializer) { - this.populationInitializer = populationInitializer; - return this; - } - - /** - * The maximum population size.
- * If using a ratio based culling, using a population with culled size of around 1.5 to 2 times the number of genes generally gives good results. - * (e.g. For a chromosome having 10 genes, the culled size should be between 15 and 20. And with a cull ratio of 1/3 we should set the population size to 23 to 30. (15 / (1 - 1/3)), rounded up) - * - * @param size The maximum size of the population - */ - public Builder populationSize(int size) { - populationSize = size; - return this; - } - - /** - * Use an alternate cull operator behavior. Default is least fit culling. - * - * @param cullOperator An instance of a CullOperator - */ - public Builder cullOperator(CullOperator cullOperator) { - this.cullOperator = cullOperator; - return this; - } - - public PopulationModel build() { - if (cullOperator == null) { - cullOperator = new LeastFitCullOperator(); - } - - if (populationInitializer == null) { - populationInitializer = new EmptyPopulationInitializer(); - } - - return new PopulationModel(this); - } - - } - - public PopulationModel(PopulationModel.Builder builder) { - populationSize = builder.populationSize; - population = new ArrayList<>(builder.populationSize); - PopulationInitializer populationInitializer = builder.populationInitializer; - - List initializedPopulation = populationInitializer.getInitializedPopulation(populationSize); - population.clear(); - population.addAll(initializedPopulation); - - cullOperator = builder.cullOperator; - cullOperator.initializeInstance(this); - } - - /** - * Called by the GeneticSearchCandidateGenerator - */ - public void initializeInstance(boolean minimizeScore) { - chromosomeComparator = minimizeScore ? new MinimizeScoreComparator() : new MaximizeScoreComparator(); - } - - /** - * Add a PopulationListener to the list of change listeners - * @param listener A PopulationListener instance - */ - public void addListener(PopulationListener listener) { - populationListeners.add(listener); - } - - /** - * Add a Chromosome to the population and call the PopulationListeners. Culling may be triggered. - * - * @param element The chromosome to be added - */ - public void add(Chromosome element) { - if (population.size() == populationSize) { - cullOperator.cullPopulation(); - } - - population.add(element); - - Collections.sort(population, chromosomeComparator); - - triggerPopulationChangedListeners(population); - } - - /** - * @return Return false when the population is below the culled size, otherwise true.
- * Used by the selection operator to know if the population is still too small and should generate random genes. - */ - public boolean isReadyToBreed() { - return population.size() >= cullOperator.getCulledSize(); - } - - private void triggerPopulationChangedListeners(List population) { - for (PopulationListener listener : populationListeners) { - listener.onChanged(population); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/selection/GeneticSelectionOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/selection/GeneticSelectionOperator.java deleted file mode 100644 index 40b6a49c8..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/selection/GeneticSelectionOperator.java +++ /dev/null @@ -1,197 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.selection; - -import org.apache.commons.math3.random.JDKRandomGenerator; -import org.apache.commons.math3.random.RandomGenerator; -import org.apache.commons.math3.random.SynchronizedRandomGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.ChromosomeFactory; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.SinglePointCrossover; -import org.deeplearning4j.arbiter.optimize.generator.genetic.exceptions.GeneticGenerationException; -import org.deeplearning4j.arbiter.optimize.generator.genetic.mutation.MutationOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.mutation.RandomMutationOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; - -import java.util.Arrays; - -/** - * A selection operator that will generate random genes initially. Once the population has reached the culled size, - * will start to generate offsprings of parents selected in the population. - * - * @author Alexandre Boulanger - */ -public class GeneticSelectionOperator extends SelectionOperator { - - private final static int PREVIOUS_GENES_TO_KEEP = 100; - private final static int MAX_NUM_GENERATION_ATTEMPTS = 1024; - - private final CrossoverOperator crossoverOperator; - private final MutationOperator mutationOperator; - private final RandomGenerator rng; - private double[][] previousGenes = new double[PREVIOUS_GENES_TO_KEEP][]; - private int previousGenesIdx = 0; - - public static class Builder { - private ChromosomeFactory chromosomeFactory; - private PopulationModel populationModel; - private CrossoverOperator crossoverOperator; - private MutationOperator mutationOperator; - private RandomGenerator rng; - - /** - * Use an alternate crossover behavior. Default is SinglePointCrossover. - * - * @param crossoverOperator An instance of CrossoverOperator - */ - public Builder crossoverOperator(CrossoverOperator crossoverOperator) { - this.crossoverOperator = crossoverOperator; - return this; - } - - /** - * Use an alternate mutation behavior. Default is RandomMutationOperator. - * - * @param mutationOperator An instance of MutationOperator - */ - public Builder mutationOperator(MutationOperator mutationOperator) { - this.mutationOperator = mutationOperator; - return this; - } - - /** - * Use a supplied RandomGenerator - * - * @param rng An instance of RandomGenerator - */ - public Builder randomGenerator(RandomGenerator rng) { - this.rng = rng; - return this; - } - - public GeneticSelectionOperator build() { - if (crossoverOperator == null) { - crossoverOperator = new SinglePointCrossover.Builder().build(); - } - - if (mutationOperator == null) { - mutationOperator = new RandomMutationOperator.Builder().build(); - } - - if (rng == null) { - rng = new SynchronizedRandomGenerator(new JDKRandomGenerator()); - } - - return new GeneticSelectionOperator(crossoverOperator, mutationOperator, rng); - } - } - - private GeneticSelectionOperator(CrossoverOperator crossoverOperator, MutationOperator mutationOperator, - RandomGenerator rng) { - this.crossoverOperator = crossoverOperator; - this.mutationOperator = mutationOperator; - this.rng = rng; - } - - /** - * Called by GeneticSearchCandidateGenerator - */ - @Override - public void initializeInstance(PopulationModel populationModel, ChromosomeFactory chromosomeFactory) { - super.initializeInstance(populationModel, chromosomeFactory); - crossoverOperator.initializeInstance(populationModel); - } - - /** - * Build a new set of genes. Has two distinct modes of operation - *

    - *
  • Before the population has reached the culled size: will return a random set of genes.
    • - *
  • After: Parents will be selected among the population, a crossover will be applied followed by a mutation.
    • - *
- * @return Returns the generated set of genes - * @throws GeneticGenerationException If buildNextGenes() can't generate a set that has not already been tried, - * or if the crossover and the mutation operators can't generate a set, - * this exception is thrown. - */ - @Override - public double[] buildNextGenes() { - double[] result; - - boolean hasAlreadyBeenTried; - int attemptsRemaining = MAX_NUM_GENERATION_ATTEMPTS; - do { - if (populationModel.isReadyToBreed()) { - result = buildOffspring(); - } else { - result = buildRandomGenes(); - } - - hasAlreadyBeenTried = hasAlreadyBeenTried(result); - if (hasAlreadyBeenTried && --attemptsRemaining == 0) { - throw new GeneticGenerationException("Failed to generate a set of genes not already tried."); - } - } while (hasAlreadyBeenTried); - - previousGenes[previousGenesIdx] = result; - previousGenesIdx = ++previousGenesIdx % previousGenes.length; - - return result; - } - - private boolean hasAlreadyBeenTried(double[] genes) { - for (int i = 0; i < previousGenes.length; ++i) { - double[] current = previousGenes[i]; - if (current != null && Arrays.equals(current, genes)) { - return true; - } - } - - return false; - } - - private double[] buildOffspring() { - double[] offspringValues; - - boolean isModified; - int attemptsRemaining = MAX_NUM_GENERATION_ATTEMPTS; - do { - CrossoverResult crossoverResult = crossoverOperator.crossover(); - offspringValues = crossoverResult.getGenes(); - isModified = crossoverResult.isModified(); - isModified |= mutationOperator.mutate(offspringValues); - - if (!isModified && --attemptsRemaining == 0) { - throw new GeneticGenerationException( - String.format("Crossover and mutation operators failed to generate a new set of genes after %s attempts.", - MAX_NUM_GENERATION_ATTEMPTS)); - } - } while (!isModified); - - return offspringValues; - } - - private double[] buildRandomGenes() { - double[] randomValues = new double[chromosomeFactory.getChromosomeLength()]; - for (int i = 0; i < randomValues.length; ++i) { - randomValues[i] = rng.nextDouble(); - } - - return randomValues; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/selection/SelectionOperator.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/selection/SelectionOperator.java deleted file mode 100644 index 7be470ea6..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/genetic/selection/SelectionOperator.java +++ /dev/null @@ -1,44 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.genetic.selection; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.ChromosomeFactory; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; - -/** - * An abstract class for all selection operators. Used by the GeneticSearchCandidateGenerator to generate new candidates. - * - * @author Alexandre Boulanger - */ -public abstract class SelectionOperator { - protected PopulationModel populationModel; - protected ChromosomeFactory chromosomeFactory; - - /** - * Called by GeneticSearchCandidateGenerator - */ - public void initializeInstance(PopulationModel populationModel, ChromosomeFactory chromosomeFactory) { - - this.populationModel = populationModel; - this.chromosomeFactory = chromosomeFactory; - } - - /** - * Generate a new set of genes. - */ - public abstract double[] buildNextGenes(); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/util/SerializedSupplier.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/util/SerializedSupplier.java deleted file mode 100644 index 81109816d..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/generator/util/SerializedSupplier.java +++ /dev/null @@ -1,46 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.generator.util; - -import org.nd4j.common.function.Supplier; - -import java.io.*; - -public class SerializedSupplier implements Serializable, Supplier { - - private byte[] asBytes; - - public SerializedSupplier(T obj){ - try(ByteArrayOutputStream baos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(baos)){ - oos.writeObject(obj); - oos.flush(); - oos.close(); - asBytes = baos.toByteArray(); - } catch (Exception e){ - throw new RuntimeException("Error serializing object - must be serializable",e); - } - } - - @Override - public T get() { - try(ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(asBytes))){ - return (T)ois.readObject(); - } catch (Exception e){ - throw new RuntimeException("Error deserializing object",e); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/BooleanSpace.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/BooleanSpace.java deleted file mode 100644 index fd20afb47..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/BooleanSpace.java +++ /dev/null @@ -1,76 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter; - -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -/** - * BooleanParameterSpace is a {@code ParameterSpace}; Defines {True, False} as a parameter space - * If argument to setValue is less than or equal to 0.5 it will return True else False - * - * @author susaneraly - */ -@EqualsAndHashCode -public class BooleanSpace implements ParameterSpace { - private int index = -1; - - @Override - public Boolean getValue(double[] input) { - if (index == -1) { - throw new IllegalStateException("Cannot get value: ParameterSpace index has not been set"); - } - if (input[index] <= 0.5) return Boolean.TRUE; - else return Boolean.FALSE; - } - - @Override - public int numParameters() { - return 1; - } - - @Override - public List collectLeaves() { - return Collections.singletonList((ParameterSpace) this); - } - - @Override - public Map getNestedSpaces() { - return Collections.emptyMap(); - } - - @Override - public boolean isLeaf() { - return true; - } - - @Override - public void setIndices(int... indices) { - if (indices == null || indices.length != 1) - throw new IllegalArgumentException("Invalid index"); - this.index = indices[0]; - } - - @Override - public String toString() { - return "BooleanSpace()"; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/FixedValue.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/FixedValue.java deleted file mode 100644 index 6482003e5..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/FixedValue.java +++ /dev/null @@ -1,90 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter; - -import lombok.EqualsAndHashCode; -import lombok.Getter; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.serde.jackson.FixedValueDeserializer; -import org.deeplearning4j.arbiter.optimize.serde.jackson.FixedValueSerializer; -import org.deeplearning4j.arbiter.util.ObjectUtils; -import org.nd4j.shade.jackson.annotation.JsonCreator; -import org.nd4j.shade.jackson.annotation.JsonProperty; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; -import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize; -import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -/** - * FixedValue is a ParameterSpace that defines only a single fixed value - * - * @param Type of (fixed) value - */ -@EqualsAndHashCode -@JsonSerialize(using = FixedValueSerializer.class) -@JsonDeserialize(using = FixedValueDeserializer.class) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public class FixedValue implements ParameterSpace { - @Getter - private Object value; - private int index; - - @JsonCreator - public FixedValue(@JsonProperty("value") T value) { - this.value = value; - } - - @Override - public String toString() { - return "FixedValue(" + ObjectUtils.valueToString(value) + ")"; - } - - @Override - public T getValue(double[] input) { - return (T) value; - } - - @Override - public int numParameters() { - return 0; - } - - @Override - public List collectLeaves() { - return Collections.emptyList(); - } - - @Override - public Map getNestedSpaces() { - return Collections.emptyMap(); - } - - @Override - public boolean isLeaf() { - return true; - } - - @Override - public void setIndices(int... indices) { - if (indices != null && indices.length != 0) - throw new IllegalArgumentException( - "Invalid call: FixedValue ParameterSpace " + "should not be given an index (0 params)"); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/continuous/ContinuousParameterSpace.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/continuous/ContinuousParameterSpace.java deleted file mode 100644 index 4a8dfab9c..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/continuous/ContinuousParameterSpace.java +++ /dev/null @@ -1,135 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter.continuous; - -import org.apache.commons.math3.distribution.RealDistribution; -import org.apache.commons.math3.distribution.UniformRealDistribution; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.distribution.DistributionUtils; -import org.deeplearning4j.arbiter.optimize.serde.jackson.RealDistributionDeserializer; -import org.deeplearning4j.arbiter.optimize.serde.jackson.RealDistributionSerializer; -import org.nd4j.shade.jackson.annotation.JsonProperty; -import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize; -import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -/** - * ContinuousParametSpace is a {@code ParameterSpace} that (optionally) takes an Apache Commons - * {@link RealDistribution} when used for random sampling (such as in a RandomSearchCandidateGenerator) - * - * @author Alex Black - */ -public class ContinuousParameterSpace implements ParameterSpace { - - //Need to use custom serializers/deserializers for commons RealDistribution instances - @JsonSerialize(using = RealDistributionSerializer.class) - @JsonDeserialize(using = RealDistributionDeserializer.class) - private RealDistribution distribution; - private int index = -1; - - /** - * ContinuousParameterSpace with uniform distribution between the minimum and maximum values - * - * @param min Minimum value that can be generated - * @param max Maximum value that can be generated - */ - public ContinuousParameterSpace(double min, double max) { - this(new UniformRealDistribution(min, max)); - } - - /** - * ConditiousParameterSpcae wiht a specified probability distribution. The provided distribution defines the min/max - * values, and (for random search, etc) will be used when generating random values - * - * @param distribution Distribution to sample from - */ - public ContinuousParameterSpace(@JsonProperty("distribution") RealDistribution distribution) { - this.distribution = distribution; - } - - - @Override - public Double getValue(double[] input) { - if (index == -1) { - throw new IllegalStateException("Cannot get value: ParameterSpace index has not been set"); - } - return distribution.inverseCumulativeProbability(input[index]); - } - - @Override - public int numParameters() { - return 1; - } - - @Override - public List collectLeaves() { - return Collections.singletonList((ParameterSpace) this); - } - - @Override - public Map getNestedSpaces() { - return Collections.emptyMap(); - } - - @Override - public boolean isLeaf() { - return true; - } - - @Override - public void setIndices(int... indices) { - if (indices == null || indices.length != 1) { - throw new IllegalArgumentException("Invalid index"); - } - this.index = indices[0]; - } - - - @Override - public String toString() { - if (distribution instanceof UniformRealDistribution) { - return "ContinuousParameterSpace(min=" + distribution.getSupportLowerBound() + ",max=" - + distribution.getSupportUpperBound() + ")"; - } else { - return "ContinuousParameterSpace(" + distribution + ")"; - } - } - - public boolean equals(Object o) { - if (o == this) - return true; - if (!(o instanceof ContinuousParameterSpace)) - return false; - final ContinuousParameterSpace other = (ContinuousParameterSpace) o; - if (distribution == null ? other.distribution != null - : !DistributionUtils.distributionsEqual(distribution, other.distribution)) - return false; - - return this.index == other.index; - } - - public int hashCode() { - final int PRIME = 59; - int result = 1; - result = result * PRIME + (distribution == null ? 43 : distribution.getClass().hashCode()); - result = result * PRIME + this.index; - return result; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/discrete/DiscreteParameterSpace.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/discrete/DiscreteParameterSpace.java deleted file mode 100644 index 9c37ae07d..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/discrete/DiscreteParameterSpace.java +++ /dev/null @@ -1,112 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter.discrete; - -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.util.ObjectUtils; -import org.nd4j.shade.jackson.annotation.JsonProperty; -import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; - -import java.util.*; - -/** - * A DiscreteParameterSpace is used for a set of un-ordered values - * - * @param

Parameter type - * @author Alex Black - */ -@EqualsAndHashCode -public class DiscreteParameterSpace

implements ParameterSpace

{ - - @JsonSerialize - private List

values; - private int index = -1; - - public DiscreteParameterSpace(@JsonProperty("values") P... values) { - if (values != null) - this.values = Arrays.asList(values); - } - - public DiscreteParameterSpace(Collection

values) { - this.values = new ArrayList<>(values); - } - - public int numValues() { - return values.size(); - } - - @Override - public P getValue(double[] input) { - if (index == -1) { - throw new IllegalStateException("Cannot get value: ParameterSpace index has not been set"); - } - if (values == null) - throw new IllegalStateException("Values are null."); - //Map a value in range [0,1] to one of the list of values - //First value: [0,width], second: (width,2*width], third: (3*width,4*width] etc - int size = values.size(); - if (size == 1) - return values.get(0); - double width = 1.0 / size; - int val = (int) (input[index] / width); - return values.get(Math.min(val, size - 1)); - } - - @Override - public int numParameters() { - return 1; - } - - @Override - public List collectLeaves() { - return Collections.singletonList((ParameterSpace) this); - } - - @Override - public Map getNestedSpaces() { - return Collections.emptyMap(); - } - - @Override - public boolean isLeaf() { - return true; - } - - @Override - public void setIndices(int... indices) { - if (indices == null || indices.length != 1) { - throw new IllegalArgumentException("Invalid index"); - } - this.index = indices[0]; - } - - @Override - public String toString() { - StringBuilder sb = new StringBuilder(); - sb.append("DiscreteParameterSpace("); - int n = values.size(); - for (int i = 0; i < n; i++) { - P value = values.get(i); - sb.append(ObjectUtils.valueToString(value)); - sb.append((i == n - 1 ? ")" : ",")); - } - return sb.toString(); - } - - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/integer/IntegerParameterSpace.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/integer/IntegerParameterSpace.java deleted file mode 100644 index 2c6cd03ac..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/integer/IntegerParameterSpace.java +++ /dev/null @@ -1,149 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter.integer; - -import lombok.NoArgsConstructor; -import org.apache.commons.math3.distribution.IntegerDistribution; -import org.apache.commons.math3.distribution.UniformIntegerDistribution; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.distribution.DistributionUtils; -import org.deeplearning4j.arbiter.optimize.serde.jackson.IntegerDistributionDeserializer; -import org.deeplearning4j.arbiter.optimize.serde.jackson.IntegerDistributionSerializer; -import org.nd4j.shade.jackson.annotation.JsonCreator; -import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; -import org.nd4j.shade.jackson.annotation.JsonProperty; -import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize; -import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -/** - * IntegerParameterSpace is a {@code ParameterSpace}; i.e., defines an ordered space of integers between - * some minimum and maximum value - * - * @author Alex Black - */ -@JsonIgnoreProperties({"min", "max"}) -@NoArgsConstructor -public class IntegerParameterSpace implements ParameterSpace { - - @JsonSerialize(using = IntegerDistributionSerializer.class) - @JsonDeserialize(using = IntegerDistributionDeserializer.class) - private IntegerDistribution distribution; - private int index = -1; - - /** - * Create an IntegerParameterSpace with a uniform distribution between the specified min/max (inclusive) - * - * @param min Min value, inclusive - * @param max Max value, inclusive - */ - public IntegerParameterSpace(int min, int max) { - this(new UniformIntegerDistribution(min, max)); - } - - /** - * Crate an IntegerParametSpace from the given IntegerDistribution - * - * @param distribution Distribution to use - */ - @JsonCreator - public IntegerParameterSpace(@JsonProperty("distribution") IntegerDistribution distribution) { - this.distribution = distribution; - } - - public int getMin() { - return distribution.getSupportLowerBound(); - } - - public int getMax() { - return distribution.getSupportUpperBound(); - } - - @Override - public Integer getValue(double[] input) { - if (index == -1) { - throw new IllegalStateException("Cannot get value: ParameterSpace index has not been set"); - } - return distribution.inverseCumulativeProbability(input[index]); - } - - @Override - public int numParameters() { - return 1; - } - - @Override - public List collectLeaves() { - return Collections.singletonList((ParameterSpace) this); - } - - @Override - public Map getNestedSpaces() { - return Collections.emptyMap(); - } - - @Override - public boolean isLeaf() { - return true; - } - - @Override - public void setIndices(int... indices) { - if (indices == null || indices.length != 1) - throw new IllegalArgumentException("Invalid index"); - this.index = indices[0]; - } - - @Override - public String toString() { - if (distribution instanceof UniformIntegerDistribution) { - return "IntegerParameterSpace(min=" + distribution.getSupportLowerBound() + ",max=" - + distribution.getSupportUpperBound() + ")"; - } else { - return "IntegerParameterSpace(" + distribution + ")"; - } - } - - public boolean equals(Object o) { - if (o == this) - return true; - if (!(o instanceof IntegerParameterSpace)) - return false; - final IntegerParameterSpace other = (IntegerParameterSpace) o; - if (!other.canEqual(this)) - return false; - if (distribution == null ? other.distribution != null - : !DistributionUtils.distributionEquals(distribution, other.distribution)) - return false; - return this.index == other.index; - } - - public int hashCode() { - final int PRIME = 59; - int result = 1; - result = result * PRIME + (distribution == null ? 43 : distribution.getClass().hashCode()); - result = result * PRIME + this.index; - return result; - } - - protected boolean canEqual(Object other) { - return other instanceof IntegerParameterSpace; - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/MathOp.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/MathOp.java deleted file mode 100644 index 2d567536f..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/MathOp.java +++ /dev/null @@ -1,69 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter.math; - -import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; - -import java.util.List; - -/** - * A simple parameter space that implements scalar mathematical operations on another parameter space. This allows you - * to do things like Y = X * 2, where X is a parameter space. For example, a layer size hyperparameter could be set - * using this to 2x the size of the previous layer - * - * @param Type of the parameter space - * @author Alex Black - */ -public class MathOp extends AbstractParameterSpace { - - private ParameterSpace parameterSpace; - private Op op; - private T scalar; - - public MathOp(ParameterSpace parameterSpace, Op op, T scalar){ - this.parameterSpace = parameterSpace; - this.op = op; - this.scalar = scalar; - } - - @Override - public T getValue(double[] parameterValues) { - T u = parameterSpace.getValue(parameterValues); - return op.doOp(u, scalar); - } - - @Override - public int numParameters() { - return parameterSpace.numParameters(); - } - - @Override - public List collectLeaves() { - return parameterSpace.collectLeaves(); - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - parameterSpace.setIndices(indices); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/Op.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/Op.java deleted file mode 100644 index 2102804ce..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/Op.java +++ /dev/null @@ -1,76 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter.math; - -public enum Op { - ADD, SUB, MUL, DIV; - - - //Package private - T doOp(T first, T second){ - if(first instanceof Integer || first instanceof Long){ - long result; - switch (this){ - case ADD: - result = Long.valueOf(first.longValue() + second.longValue()); - break; - case SUB: - result = Long.valueOf(first.longValue() - second.longValue()); - break; - case MUL: - result = Long.valueOf(first.longValue() * second.longValue()); - break; - case DIV: - result = Long.valueOf(first.longValue() / second.longValue()); - break; - default: - throw new UnsupportedOperationException("Unknown op: " + this); - } - if(first instanceof Long){ - return (T)Long.valueOf(result); - } else { - return (T)Integer.valueOf((int)result); - } - } else if(first instanceof Double || first instanceof Float){ - double result; - switch (this){ - case ADD: - result = Double.valueOf(first.doubleValue() + second.doubleValue()); - break; - case SUB: - result = Double.valueOf(first.doubleValue() - second.doubleValue()); - break; - case MUL: - result = Double.valueOf(first.doubleValue() * second.doubleValue()); - break; - case DIV: - result = Double.valueOf(first.doubleValue() / second.doubleValue()); - break; - default: - throw new UnsupportedOperationException("Unknown op: " + this); - } - if(first instanceof Double){ - return (T)Double.valueOf(result); - } else { - return (T)Float.valueOf((float)result); - } - } else { - throw new UnsupportedOperationException("Not supported type: only Integer, Long, Double, Float supported" + - " here. Got type: " + first.getClass()); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/PairMathOp.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/PairMathOp.java deleted file mode 100644 index db0a9c98b..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/parameter/math/PairMathOp.java +++ /dev/null @@ -1,79 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter.math; - -import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; - -import java.util.ArrayList; -import java.util.Arrays; -import java.util.List; - -/** - * A simple parameter space that implements pairwise mathematical operations on another parameter space. This allows you - * to do things like Z = X + Y, where X and Y are parameter spaces. - * - * @param Type of the parameter space - * @author Alex Black - */ -public class PairMathOp extends AbstractParameterSpace { - - private ParameterSpace first; - private ParameterSpace second; - private Op op; - - public PairMathOp(ParameterSpace first, ParameterSpace second, Op op){ - this.first = first; - this.second = second; - this.op = op; - } - - @Override - public T getValue(double[] parameterValues) { - T f = first.getValue(parameterValues); - T s = second.getValue(parameterValues); - return op.doOp(f, s); - } - - @Override - public int numParameters() { - return first.numParameters() + second.numParameters(); - } - - @Override - public List collectLeaves() { - List l = new ArrayList<>(); - l.addAll(first.collectLeaves()); - l.addAll(second.collectLeaves()); - return l; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - int n1 = first.numParameters(); - int n2 = second.numParameters(); - int[] s1 = Arrays.copyOfRange(indices, 0, n1); - int[] s2 = Arrays.copyOfRange(indices, n1, n1+n2); - first.setIndices(s1); - second.setIndices(s2); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/BaseOptimizationRunner.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/BaseOptimizationRunner.java deleted file mode 100644 index 65c2de0dc..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/BaseOptimizationRunner.java +++ /dev/null @@ -1,379 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner; - -import org.nd4j.shade.guava.util.concurrent.ListenableFuture; -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.lang3.exception.ExceptionUtils; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; - -import java.util.*; -import java.util.concurrent.*; -import java.util.concurrent.atomic.AtomicInteger; -import java.util.concurrent.atomic.AtomicLong; - -/** - * BaseOptimization runner: responsible for scheduling tasks, saving results using the result saver, etc. - * - * @author Alex Black - */ -@Slf4j -public abstract class BaseOptimizationRunner implements IOptimizationRunner { - private static final int POLLING_FREQUENCY = 1; - private static final TimeUnit POLLING_FREQUENCY_UNIT = TimeUnit.SECONDS; - - protected OptimizationConfiguration config; - protected Queue> queuedFutures = new ConcurrentLinkedQueue<>(); - protected BlockingQueue> completedFutures = new LinkedBlockingQueue<>(); - protected AtomicInteger totalCandidateCount = new AtomicInteger(); - protected AtomicInteger numCandidatesCompleted = new AtomicInteger(); - protected AtomicInteger numCandidatesFailed = new AtomicInteger(); - protected Double bestScore = null; - protected Long bestScoreTime = null; - protected AtomicInteger bestScoreCandidateIndex = new AtomicInteger(-1); - protected List allResults = new ArrayList<>(); - - protected Map currentStatus = new ConcurrentHashMap<>(); //TODO: better design possible? - - protected ExecutorService futureListenerExecutor; - - protected List statusListeners = new ArrayList<>(); - - - protected BaseOptimizationRunner(OptimizationConfiguration config) { - this.config = config; - - if (config.getTerminationConditions() == null || config.getTerminationConditions().size() == 0) { - throw new IllegalArgumentException("Cannot create BaseOptimizationRunner without TerminationConditions (" - + "termination conditions are null or empty)"); - } - - } - - protected void init() { - futureListenerExecutor = Executors.newFixedThreadPool(maxConcurrentTasks(), new ThreadFactory() { - private AtomicLong counter = new AtomicLong(0); - - @Override - public Thread newThread(Runnable r) { - Thread t = Executors.defaultThreadFactory().newThread(r); - t.setDaemon(true); - t.setName("ArbiterOptimizationRunner-" + counter.getAndIncrement()); - return t; - } - }); - } - - /** - * - */ - @Override - public void execute() { - log.info("{}: execution started", this.getClass().getSimpleName()); - config.setExecutionStartTime(System.currentTimeMillis()); - for (StatusListener listener : statusListeners) { - listener.onInitialization(this); - } - - //Initialize termination conditions (start timers, etc) - for (TerminationCondition c : config.getTerminationConditions()) { - c.initialize(this); - } - - //Queue initial tasks: - List> tempList = new ArrayList<>(100); - while (true) { - //Otherwise: add tasks if required - Future future = null; - try { - future = completedFutures.poll(POLLING_FREQUENCY, POLLING_FREQUENCY_UNIT); - } catch (InterruptedException e) { - //No op? - } - if (future != null) { - tempList.add(future); - } - completedFutures.drainTo(tempList); - - //Process results (if any) - for (Future f : tempList) { - queuedFutures.remove(f); - processReturnedTask(f); - } - - if (tempList.size() > 0) { - for (StatusListener sl : statusListeners) { - sl.onRunnerStatusChange(this); - } - } - tempList.clear(); - - //Check termination conditions: - if (terminate()) { - shutdown(true); - break; - } - - //Add additional tasks - while (config.getCandidateGenerator().hasMoreCandidates() && queuedFutures.size() < maxConcurrentTasks()) { - Candidate candidate = config.getCandidateGenerator().getCandidate(); - CandidateInfo status; - if (candidate.getException() != null) { - //Failed on generation... - status = processFailedCandidates(candidate); - } else { - long created = System.currentTimeMillis(); - ListenableFuture f; - if(config.getDataSource() != null){ - f = execute(candidate, config.getDataSource(), config.getDataSourceProperties(), config.getScoreFunction()); - } else { - f = execute(candidate, config.getDataProvider(), config.getScoreFunction()); - } - f.addListener(new OnCompletionListener(f), futureListenerExecutor); - queuedFutures.add(f); - totalCandidateCount.getAndIncrement(); - - status = new CandidateInfo(candidate.getIndex(), CandidateStatus.Created, null, - created, null, null, candidate.getFlatParameters(), null); - currentStatus.put(candidate.getIndex(), status); - } - - for (StatusListener listener : statusListeners) { - listener.onCandidateStatusChange(status, this, null); - } - } - } - - //Process any final (completed) tasks: - completedFutures.drainTo(tempList); - for (Future f : tempList) { - queuedFutures.remove(f); - processReturnedTask(f); - } - tempList.clear(); - - log.info("Optimization runner: execution complete"); - for (StatusListener listener : statusListeners) { - listener.onShutdown(this); - } - } - - - private CandidateInfo processFailedCandidates(Candidate candidate) { - //In case the candidate fails during the creation of the candidate - - long time = System.currentTimeMillis(); - String stackTrace = ExceptionUtils.getStackTrace(candidate.getException()); - CandidateInfo newStatus = new CandidateInfo(candidate.getIndex(), CandidateStatus.Failed, null, time, time, - time, candidate.getFlatParameters(), stackTrace); - currentStatus.put(candidate.getIndex(), newStatus); - - return newStatus; - } - - /** - * Process returned task (either completed or failed - */ - private void processReturnedTask(Future future) { - long currentTime = System.currentTimeMillis(); - OptimizationResult result; - try { - result = future.get(100, TimeUnit.MILLISECONDS); - } catch (InterruptedException e) { - throw new RuntimeException("Unexpected InterruptedException thrown for task", e); - } catch (ExecutionException e) { - //Note that most of the time, an OptimizationResult is returned even for an exception - //This is just to handle any that are missed there (or, by implementations that don't properly do this) - log.warn("Task failed", e); - - numCandidatesFailed.getAndIncrement(); - return; - } catch (TimeoutException e) { - throw new RuntimeException(e); //TODO - } - - //Update internal status: - CandidateInfo status = currentStatus.get(result.getIndex()); - CandidateInfo newStatus = new CandidateInfo(result.getIndex(), result.getCandidateInfo().getCandidateStatus(), - result.getScore(), status.getCreatedTime(), result.getCandidateInfo().getStartTime(), - currentTime, status.getFlatParams(), result.getCandidateInfo().getExceptionStackTrace()); - currentStatus.put(result.getIndex(), newStatus); - - //Listeners (on complete, etc) should be executed in underlying task - - - if (result.getCandidateInfo().getCandidateStatus() == CandidateStatus.Failed) { - log.info("Task {} failed during execution: {}", result.getIndex(), result.getCandidateInfo().getExceptionStackTrace()); - numCandidatesFailed.getAndIncrement(); - } else { - - //Report completion to candidate generator - config.getCandidateGenerator().reportResults(result); - - Double score = result.getScore(); - log.info("Completed task {}, score = {}", result.getIndex(), result.getScore()); - - boolean minimize = config.getScoreFunction().minimize(); - if (score != null && (bestScore == null - || ((minimize && score < bestScore) || (!minimize && score > bestScore)))) { - if (bestScore == null) { - log.info("New best score: {} (first completed model)", score); - } else { - int idx = result.getIndex(); - int lastBestIdx = bestScoreCandidateIndex.get(); - log.info("New best score: {}, model {} (prev={}, model {})", score, idx, bestScore, lastBestIdx); - } - bestScore = score; - bestScoreTime = System.currentTimeMillis(); - bestScoreCandidateIndex.set(result.getIndex()); - } - numCandidatesCompleted.getAndIncrement(); - - //Model saving is done in the optimization tasks, to avoid CUDA threading issues - ResultReference resultReference = result.getResultReference(); - - if (resultReference != null) - allResults.add(resultReference); - } - } - - @Override - public int numCandidatesTotal() { - return totalCandidateCount.get(); - } - - @Override - public int numCandidatesCompleted() { - return numCandidatesCompleted.get(); - } - - @Override - public int numCandidatesFailed() { - return numCandidatesFailed.get(); - } - - @Override - public int numCandidatesQueued() { - return queuedFutures.size(); - } - - @Override - public Double bestScore() { - return bestScore; - } - - @Override - public Long bestScoreTime() { - return bestScoreTime; - } - - @Override - public int bestScoreCandidateIndex() { - return bestScoreCandidateIndex.get(); - } - - @Override - public List getResults() { - return new ArrayList<>(allResults); - } - - @Override - public OptimizationConfiguration getConfiguration() { - return config; - } - - - @Override - public void addListeners(StatusListener... listeners) { - for (StatusListener l : listeners) { - if (!statusListeners.contains(l)) { - statusListeners.add(l); - } - } - } - - @Override - public void removeListeners(StatusListener... listeners) { - for (StatusListener l : listeners) { - statusListeners.remove(l); - } - } - - @Override - public void removeAllListeners() { - statusListeners.clear(); - } - - @Override - public List getCandidateStatus() { - return new ArrayList<>(currentStatus.values()); - } - - private boolean terminate() { - for (TerminationCondition c : config.getTerminationConditions()) { - if (c.terminate(this)) { - log.info("BaseOptimizationRunner global termination condition hit: {}", c); - return true; - } - } - return false; - } - - @AllArgsConstructor - @Data - private class FutureDetails { - private final Future future; - private final long startTime; - private final int index; - } - - @AllArgsConstructor - private class OnCompletionListener implements Runnable { - private Future future; - - @Override - public void run() { - completedFutures.add(future); - } - } - - - protected abstract int maxConcurrentTasks(); - - @Deprecated - protected abstract ListenableFuture execute(Candidate candidate, DataProvider dataProvider, - ScoreFunction scoreFunction); - @Deprecated - protected abstract List> execute(List candidates, - DataProvider dataProvider, ScoreFunction scoreFunction); - - protected abstract ListenableFuture execute(Candidate candidate, Class dataSource, - Properties dataSourceProperties, ScoreFunction scoreFunction); - - protected abstract List> execute(List candidates, Class dataSource, - Properties dataSourceProperties, ScoreFunction scoreFunction); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/CandidateInfo.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/CandidateInfo.java deleted file mode 100644 index e8c7ccf25..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/CandidateInfo.java +++ /dev/null @@ -1,41 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner; - -import lombok.AllArgsConstructor; -import lombok.Data; - -/** - * Simple helper class to store status of a candidate that is/has been/will be executed - */ -@AllArgsConstructor -@Data -public class CandidateInfo { - - public CandidateInfo() { - //No arg constructor for Jackson - } - - private int index; - private CandidateStatus candidateStatus; - private Double score; - private long createdTime; - private Long startTime; - private Long endTime; - private double[] flatParams; //Same as parameters in Candidate class - private String exceptionStackTrace; -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/CandidateStatus.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/CandidateStatus.java deleted file mode 100644 index a19f89a52..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/CandidateStatus.java +++ /dev/null @@ -1,24 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner; - -/** - * Status for candidates - */ -public enum CandidateStatus { - Created, Running, Complete, Failed, Cancelled -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/IOptimizationRunner.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/IOptimizationRunner.java deleted file mode 100644 index 5f98d4460..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/IOptimizationRunner.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner; - -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; - -import java.util.List; - -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -public interface IOptimizationRunner { - - void execute(); - - /** Total number of candidates: created (scheduled), completed and failed */ - int numCandidatesTotal(); - - int numCandidatesCompleted(); - - int numCandidatesFailed(); - - /** Number of candidates running or queued */ - int numCandidatesQueued(); - - /** Best score found so far */ - Double bestScore(); - - /** Time that the best score was found at, or 0 if no jobs have completed successfully */ - Long bestScoreTime(); - - /** Index of the best scoring candidate, or -1 if no candidate has scored yet*/ - int bestScoreCandidateIndex(); - - List getResults(); - - OptimizationConfiguration getConfiguration(); - - void addListeners(StatusListener... listeners); - - void removeListeners(StatusListener... listeners); - - void removeAllListeners(); - - List getCandidateStatus(); - - /** - * @param awaitCompletion If true: await completion of currently scheduled tasks. If false: shutdown immediately, - * cancelling any currently executing tasks - */ - void shutdown(boolean awaitCompletion); -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/LocalOptimizationRunner.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/LocalOptimizationRunner.java deleted file mode 100644 index 6982090f1..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/LocalOptimizationRunner.java +++ /dev/null @@ -1,150 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner; - -import org.nd4j.shade.guava.util.concurrent.ListenableFuture; -import org.nd4j.shade.guava.util.concurrent.ListeningExecutorService; -import org.nd4j.shade.guava.util.concurrent.MoreExecutors; -import lombok.Setter; -import org.deeplearning4j.arbiter.optimize.api.*; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; - -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; -import java.util.Properties; -import java.util.concurrent.*; -import java.util.concurrent.atomic.AtomicLong; - -/** - * LocalOptimizationRunner: execute hyperparameter optimization - * locally (on current machine, in current JVM). - * - * @author Alex Black - */ -public class LocalOptimizationRunner extends BaseOptimizationRunner { - - public static final int DEFAULT_MAX_CONCURRENT_TASKS = 1; - - private final int maxConcurrentTasks; - - private TaskCreator taskCreator; - private ListeningExecutorService executor; - @Setter - private long shutdownMaxWaitMS = 2L * 24 * 60 * 60 * 1000; - - public LocalOptimizationRunner(OptimizationConfiguration config){ - this(config, null); - } - - public LocalOptimizationRunner(OptimizationConfiguration config, TaskCreator taskCreator) { - this(DEFAULT_MAX_CONCURRENT_TASKS, config, taskCreator); - } - - public LocalOptimizationRunner(int maxConcurrentTasks, OptimizationConfiguration config){ - this(maxConcurrentTasks, config, null); - } - - public LocalOptimizationRunner(int maxConcurrentTasks, OptimizationConfiguration config, TaskCreator taskCreator) { - super(config); - if (maxConcurrentTasks <= 0) - throw new IllegalArgumentException("maxConcurrentTasks must be > 0 (got: " + maxConcurrentTasks + ")"); - this.maxConcurrentTasks = maxConcurrentTasks; - - if(taskCreator == null){ - Class psClass = config.getCandidateGenerator().getParameterSpace().getClass(); - taskCreator = TaskCreatorProvider.defaultTaskCreatorFor(psClass); - if(taskCreator == null){ - throw new IllegalStateException("No TaskCreator was provided and a default TaskCreator cannot be " + - "inferred for ParameterSpace class " + psClass.getName() + ". Please provide a TaskCreator " + - "via the LocalOptimizationRunner constructor"); - } - } - - this.taskCreator = taskCreator; - - ExecutorService exec = Executors.newFixedThreadPool(maxConcurrentTasks, new ThreadFactory() { - private AtomicLong counter = new AtomicLong(0); - - @Override - public Thread newThread(Runnable r) { - Thread t = Executors.defaultThreadFactory().newThread(r); - t.setDaemon(true); - t.setName("LocalCandidateExecutor-" + counter.getAndIncrement()); - return t; - } - }); - executor = MoreExecutors.listeningDecorator(exec); - - init(); - } - - @Override - protected int maxConcurrentTasks() { - return maxConcurrentTasks; - } - - @Override - protected ListenableFuture execute(Candidate candidate, DataProvider dataProvider, - ScoreFunction scoreFunction) { - return execute(Collections.singletonList(candidate), dataProvider, scoreFunction).get(0); - } - - @Override - protected List> execute(List candidates, DataProvider dataProvider, - ScoreFunction scoreFunction) { - List> list = new ArrayList<>(candidates.size()); - for (Candidate candidate : candidates) { - Callable task = - taskCreator.create(candidate, dataProvider, scoreFunction, statusListeners, this); - list.add(executor.submit(task)); - } - return list; - } - - @Override - protected ListenableFuture execute(Candidate candidate, Class dataSource, Properties dataSourceProperties, ScoreFunction scoreFunction) { - return execute(Collections.singletonList(candidate), dataSource, dataSourceProperties, scoreFunction).get(0); - } - - @Override - protected List> execute(List candidates, Class dataSource, Properties dataSourceProperties, ScoreFunction scoreFunction) { - List> list = new ArrayList<>(candidates.size()); - for (Candidate candidate : candidates) { - Callable task = taskCreator.create(candidate, dataSource, dataSourceProperties, scoreFunction, statusListeners, this); - list.add(executor.submit(task)); - } - return list; - } - - @Override - public void shutdown(boolean awaitTermination) { - if(awaitTermination){ - try { - executor.shutdown(); - executor.awaitTermination(shutdownMaxWaitMS, TimeUnit.MILLISECONDS); - } catch (InterruptedException e){ - throw new RuntimeException(e); - } - } else { - executor.shutdownNow(); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/BaseStatusListener.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/BaseStatusListener.java deleted file mode 100644 index aca25d95d..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/BaseStatusListener.java +++ /dev/null @@ -1,54 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner.listener; - -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; - -/** - * BaseStatusListener: implements all methods of {@link StatusListener} as no-op. - * Users can extend this and override only the methods actually required - * - * @author Alex Black - */ -public abstract class BaseStatusListener implements StatusListener{ - @Override - public void onInitialization(IOptimizationRunner runner) { - //No op - } - - @Override - public void onShutdown(IOptimizationRunner runner) { - //No op - } - - @Override - public void onRunnerStatusChange(IOptimizationRunner runner) { - //No op - } - - @Override - public void onCandidateStatusChange(CandidateInfo candidateInfo, IOptimizationRunner runner, OptimizationResult result) { - //No op - } - - @Override - public void onCandidateIteration(CandidateInfo candidateInfo, Object candidate, int iteration) { - //No op - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/StatusChangeType.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/StatusChangeType.java deleted file mode 100644 index d8e2f429b..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/StatusChangeType.java +++ /dev/null @@ -1,26 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner.listener; - -/** - * Created by Alex on 20/07/2017. - */ -public enum StatusChangeType { - - CandidateCompleted, CandidateFailed, CandidateNewScheduled, CandidateNewBestScore - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/StatusListener.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/StatusListener.java deleted file mode 100644 index fa5ba25a2..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/StatusListener.java +++ /dev/null @@ -1,60 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner.listener; - -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; - -/** - * The status Listener interface is used to inspect/track the status of execution, both for individual candidates, - * and for the optimisation runner overall. - * - * @author Alex Black - */ -public interface StatusListener { - - /** Called when optimization runner starts execution */ - void onInitialization(IOptimizationRunner runner); - - /** Called when optimization runner terminates */ - void onShutdown(IOptimizationRunner runner); - - /** Called when any of the summary stats change, for the optimization runner: - * number scheduled, number completed, number failed, best score, etc. */ - void onRunnerStatusChange(IOptimizationRunner runner); - - /** - * Called when the status of the candidate is change. For example created, completed, failed. - * - * @param candidateInfo Candidate information - * @param runner Optimisation runner calling this method - * @param result Optimisation result. Maybe null. - */ - void onCandidateStatusChange(CandidateInfo candidateInfo, IOptimizationRunner runner, OptimizationResult result); - - /** - * This method may be called by tasks as they are executing. The intent of this method is to report partial results, - * such as different stages of learning, or scores/evaluations so far - * - * @param candidateInfo Candidate information - * @param candidate Current candidate value/configuration - * @param iteration Current iteration number - */ - void onCandidateIteration(CandidateInfo candidateInfo, Object candidate, int iteration); - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/impl/LoggingStatusListener.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/impl/LoggingStatusListener.java deleted file mode 100644 index add0d4ff7..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/runner/listener/impl/LoggingStatusListener.java +++ /dev/null @@ -1,57 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.runner.listener.impl; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; - -/** - * Created by Alex on 20/07/2017. - */ -@Slf4j -public class LoggingStatusListener implements StatusListener { - - - @Override - public void onInitialization(IOptimizationRunner runner) { - log.info("Optimization runner: initialized"); - } - - @Override - public void onShutdown(IOptimizationRunner runner) { - log.info("Optimization runner: shut down"); - } - - @Override - public void onRunnerStatusChange(IOptimizationRunner runner) { - log.info("Optimization runner: status change"); - } - - @Override - public void onCandidateStatusChange(CandidateInfo candidateInfo, IOptimizationRunner runner, - OptimizationResult result) { - log.info("Candidate status change: {}", candidateInfo); - } - - @Override - public void onCandidateIteration(CandidateInfo candidateInfo, Object candidate, int iteration) { - log.info("Candidate iteration #{} - {}", iteration, candidate); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/FixedValueDeserializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/FixedValueDeserializer.java deleted file mode 100644 index 24b76fd42..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/FixedValueDeserializer.java +++ /dev/null @@ -1,52 +0,0 @@ -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.apache.commons.codec.binary.Base64; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.shade.jackson.core.JsonParser; -import org.nd4j.shade.jackson.core.JsonProcessingException; -import org.nd4j.shade.jackson.databind.DeserializationContext; -import org.nd4j.shade.jackson.databind.JsonDeserializer; -import org.nd4j.shade.jackson.databind.JsonNode; -import org.nd4j.shade.jackson.databind.ObjectMapper; - -import java.io.ByteArrayInputStream; -import java.io.IOException; -import java.io.ObjectInputStream; - -/** - * A custom deserializer to be used in conjunction with {@link FixedValueSerializer} - * @author Alex Black - */ -public class FixedValueDeserializer extends JsonDeserializer { - @Override - public FixedValue deserialize(JsonParser p, DeserializationContext deserializationContext) throws IOException, JsonProcessingException { - JsonNode node = p.getCodec().readTree(p); - String className = node.get("@valueclass").asText(); - Class c; - try { - c = Class.forName(className); - } catch (Exception e) { - throw new RuntimeException(e); - } - - if(node.has("value")){ - //Number, String, Enum - JsonNode valueNode = node.get("value"); - Object o = new ObjectMapper().treeToValue(valueNode, c); - return new FixedValue<>(o); - } else { - //Everything else - JsonNode valueNode = node.get("data"); - String data = valueNode.asText(); - - byte[] b = new Base64().decode(data); - ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(b)); - try { - Object o = ois.readObject(); - return new FixedValue<>(o); - } catch (Throwable t) { - throw new RuntimeException(t); - } - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/FixedValueSerializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/FixedValueSerializer.java deleted file mode 100644 index 349177595..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/FixedValueSerializer.java +++ /dev/null @@ -1,51 +0,0 @@ -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.apache.commons.net.util.Base64; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.shade.jackson.core.JsonGenerator; -import org.nd4j.shade.jackson.core.type.WritableTypeId; -import org.nd4j.shade.jackson.databind.JsonSerializer; -import org.nd4j.shade.jackson.databind.SerializerProvider; -import org.nd4j.shade.jackson.databind.jsontype.TypeSerializer; - -import java.io.ByteArrayOutputStream; -import java.io.IOException; -import java.io.ObjectOutputStream; - -import static org.nd4j.shade.jackson.core.JsonToken.START_OBJECT; - -/** - * A custom serializer to handle arbitrary object types - * Uses standard JSON where safe (number, string, enumerations) or Java object serialization (bytes -> base64) - * The latter is not an ideal approach, but Jackson doesn't support serialization/deserialization of arbitrary - * objects very well - * - * @author Alex Black - */ -public class FixedValueSerializer extends JsonSerializer { - @Override - public void serialize(FixedValue fixedValue, JsonGenerator j, SerializerProvider serializerProvider) throws IOException { - Object o = fixedValue.getValue(); - - j.writeStringField("@valueclass", o.getClass().getName()); - if(o instanceof Number || o instanceof String || o instanceof Enum){ - j.writeObjectField("value", o); - } else { - ByteArrayOutputStream baos = new ByteArrayOutputStream(); - ObjectOutputStream oos = new ObjectOutputStream(baos); - oos.writeObject(o); - baos.close(); - byte[] b = baos.toByteArray(); - String base64 = new Base64().encodeToString(b); - j.writeStringField("data", base64); - } - } - - @Override - public void serializeWithType(FixedValue value, JsonGenerator gen, SerializerProvider serializers, TypeSerializer typeSer) throws IOException { - WritableTypeId typeId = typeSer.typeId(value, START_OBJECT); - typeSer.writeTypePrefix(gen, typeId); - serialize(value, gen, serializers); - typeSer.writeTypeSuffix(gen, typeId); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/IntegerDistributionDeserializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/IntegerDistributionDeserializer.java deleted file mode 100644 index 7d40e0d3d..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/IntegerDistributionDeserializer.java +++ /dev/null @@ -1,59 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.apache.commons.math3.distribution.*; -import org.nd4j.shade.jackson.core.JsonParser; -import org.nd4j.shade.jackson.databind.DeserializationContext; -import org.nd4j.shade.jackson.databind.JsonDeserializer; -import org.nd4j.shade.jackson.databind.JsonNode; - -import java.io.IOException; - -/** - * Custom Jackson deserializer for integer distributions - * - * @author Alex Black - */ -public class IntegerDistributionDeserializer extends JsonDeserializer { - - @Override - public IntegerDistribution deserialize(JsonParser p, DeserializationContext ctxt) throws IOException { - JsonNode node = p.getCodec().readTree(p); - String simpleName = node.get("distribution").asText(); - - switch (simpleName) { - case "BinomialDistribution": - return new BinomialDistribution(node.get("trials").asInt(), node.get("p").asDouble()); - case "GeometricDistribution": - return new GeometricDistribution(node.get("p").asDouble()); - case "HypergeometricDistribution": - return new HypergeometricDistribution(node.get("populationSize").asInt(), - node.get("numberOfSuccesses").asInt(), node.get("sampleSize").asInt()); - case "PascalDistribution": - return new PascalDistribution(node.get("r").asInt(), node.get("p").asDouble()); - case "PoissonDistribution": - return new PoissonDistribution(node.get("p").asDouble()); - case "UniformIntegerDistribution": - return new UniformIntegerDistribution(node.get("lower").asInt(), node.get("upper").asInt()); - case "ZipfDistribution": - return new ZipfDistribution(node.get("numElements").asInt(), node.get("exponent").asDouble()); - default: - throw new RuntimeException("Unknown or not supported distribution: " + simpleName); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/IntegerDistributionSerializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/IntegerDistributionSerializer.java deleted file mode 100644 index 6e2defc1f..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/IntegerDistributionSerializer.java +++ /dev/null @@ -1,74 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.apache.commons.math3.distribution.*; -import org.nd4j.shade.jackson.core.JsonGenerator; -import org.nd4j.shade.jackson.databind.JsonSerializer; -import org.nd4j.shade.jackson.databind.SerializerProvider; - -import java.io.IOException; - -/** - * Custom Jackson serializer for integer distributions - * - * @author Alex Black - */ -public class IntegerDistributionSerializer extends JsonSerializer { - @Override - public void serialize(IntegerDistribution d, JsonGenerator j, SerializerProvider serializerProvider) - throws IOException { - Class c = d.getClass(); - String s = c.getSimpleName(); - - j.writeStartObject(); - j.writeStringField("distribution", s); - - if (c == BinomialDistribution.class) { - BinomialDistribution bd = (BinomialDistribution) d; - j.writeNumberField("trials", bd.getNumberOfTrials()); - j.writeNumberField("p", bd.getProbabilityOfSuccess()); - } else if (c == GeometricDistribution.class) { - GeometricDistribution gd = (GeometricDistribution) d; - j.writeNumberField("p", gd.getProbabilityOfSuccess()); - } else if (c == HypergeometricDistribution.class) { - HypergeometricDistribution hd = (HypergeometricDistribution) d; - j.writeNumberField("populationSize", hd.getPopulationSize()); - j.writeNumberField("numberOfSuccesses", hd.getNumberOfSuccesses()); - j.writeNumberField("sampleSize", hd.getSampleSize()); - } else if (c == PascalDistribution.class) { - PascalDistribution pd = (PascalDistribution) d; - j.writeNumberField("r", pd.getNumberOfSuccesses()); - j.writeNumberField("p", pd.getProbabilityOfSuccess()); - } else if (c == PoissonDistribution.class) { - PoissonDistribution pd = (PoissonDistribution) d; - j.writeNumberField("p", pd.getMean()); - } else if (c == UniformIntegerDistribution.class) { - UniformIntegerDistribution ud = (UniformIntegerDistribution) d; - j.writeNumberField("lower", ud.getSupportLowerBound()); - j.writeNumberField("upper", ud.getSupportUpperBound()); - } else if (c == ZipfDistribution.class) { - ZipfDistribution zd = (ZipfDistribution) d; - j.writeNumberField("numElements", zd.getNumberOfElements()); - j.writeNumberField("exponent", zd.getExponent()); - } else { - throw new UnsupportedOperationException("Unknown or not supported IntegerDistribution: " + c); - } - - j.writeEndObject(); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/JsonMapper.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/JsonMapper.java deleted file mode 100644 index f30cab109..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/JsonMapper.java +++ /dev/null @@ -1,74 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.nd4j.shade.jackson.annotation.JsonAutoDetect; -import org.nd4j.shade.jackson.annotation.PropertyAccessor; -import org.nd4j.shade.jackson.databind.DeserializationFeature; -import org.nd4j.shade.jackson.databind.ObjectMapper; -import org.nd4j.shade.jackson.databind.SerializationFeature; -import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory; -import org.nd4j.shade.jackson.datatype.joda.JodaModule; - -/** - * Created by Alex on 16/11/2016. - */ -public class JsonMapper { - - private static ObjectMapper mapper; - private static ObjectMapper yamlMapper; - - static { - mapper = new ObjectMapper(); - mapper.registerModule(new JodaModule()); - mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); - mapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false); - mapper.enable(SerializationFeature.INDENT_OUTPUT); - mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.NONE); - mapper.setVisibility(PropertyAccessor.FIELD, JsonAutoDetect.Visibility.ANY); - mapper.setVisibility(PropertyAccessor.CREATOR, JsonAutoDetect.Visibility.ANY); - mapper.setVisibility(PropertyAccessor.SETTER, JsonAutoDetect.Visibility.ANY); - yamlMapper = new ObjectMapper(new YAMLFactory()); - yamlMapper.registerModule(new JodaModule()); - yamlMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); - yamlMapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false); - yamlMapper.enable(SerializationFeature.INDENT_OUTPUT); - yamlMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.NONE); - yamlMapper.setVisibility(PropertyAccessor.FIELD, JsonAutoDetect.Visibility.ANY); - yamlMapper.setVisibility(PropertyAccessor.CREATOR, JsonAutoDetect.Visibility.ANY); - } - - private JsonMapper() {} - - - /** - * Return the yaml mapper - * @return - */ - public static ObjectMapper getYamlMapper() { - return yamlMapper; - } - - /** - * Return a json mapper - * @return - */ - public static ObjectMapper getMapper() { - return mapper; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/RealDistributionDeserializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/RealDistributionDeserializer.java deleted file mode 100644 index 0474beadf..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/RealDistributionDeserializer.java +++ /dev/null @@ -1,78 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.apache.commons.math3.distribution.*; -import org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution; -import org.nd4j.shade.jackson.core.JsonParser; -import org.nd4j.shade.jackson.core.JsonProcessingException; -import org.nd4j.shade.jackson.databind.DeserializationContext; -import org.nd4j.shade.jackson.databind.JsonDeserializer; -import org.nd4j.shade.jackson.databind.JsonNode; - -import java.io.IOException; - -/** - * Created by Alex on 14/02/2017. - */ -public class RealDistributionDeserializer extends JsonDeserializer { - - @Override - public RealDistribution deserialize(JsonParser p, DeserializationContext ctxt) - throws IOException, JsonProcessingException { - JsonNode node = p.getCodec().readTree(p); - String simpleName = node.get("distribution").asText(); - - switch (simpleName) { - case "BetaDistribution": - return new BetaDistribution(node.get("alpha").asDouble(), node.get("beta").asDouble()); - case "CauchyDistribution": - return new CauchyDistribution(node.get("median").asDouble(), node.get("scale").asDouble()); - case "ChiSquaredDistribution": - return new ChiSquaredDistribution(node.get("dof").asDouble()); - case "ExponentialDistribution": - return new ExponentialDistribution(node.get("mean").asDouble()); - case "FDistribution": - return new FDistribution(node.get("numeratorDof").asDouble(), node.get("denominatorDof").asDouble()); - case "GammaDistribution": - return new GammaDistribution(node.get("shape").asDouble(), node.get("scale").asDouble()); - case "LevyDistribution": - return new LevyDistribution(node.get("mu").asDouble(), node.get("c").asDouble()); - case "LogNormalDistribution": - return new LogNormalDistribution(node.get("scale").asDouble(), node.get("shape").asDouble()); - case "NormalDistribution": - return new NormalDistribution(node.get("mean").asDouble(), node.get("stdev").asDouble()); - case "ParetoDistribution": - return new ParetoDistribution(node.get("scale").asDouble(), node.get("shape").asDouble()); - case "TDistribution": - return new TDistribution(node.get("dof").asDouble()); - case "TriangularDistribution": - return new TriangularDistribution(node.get("a").asDouble(), node.get("b").asDouble(), - node.get("c").asDouble()); - case "UniformRealDistribution": - return new UniformRealDistribution(node.get("lower").asDouble(), node.get("upper").asDouble()); - case "WeibullDistribution": - return new WeibullDistribution(node.get("alpha").asDouble(), node.get("beta").asDouble()); - case "LogUniformDistribution": - return new LogUniformDistribution(node.get("min").asDouble(), node.get("max").asDouble()); - default: - throw new RuntimeException("Unknown or not supported distribution: " + simpleName); - } - - - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/RealDistributionSerializer.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/RealDistributionSerializer.java deleted file mode 100644 index fb637423b..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/RealDistributionSerializer.java +++ /dev/null @@ -1,107 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.apache.commons.math3.distribution.*; -import org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution; -import org.nd4j.shade.jackson.core.JsonGenerator; -import org.nd4j.shade.jackson.databind.JsonSerializer; -import org.nd4j.shade.jackson.databind.SerializerProvider; - -import java.io.IOException; - -/** - * Custom JSON serializer for Apache commons RealDistribution instances. - * The custom serializer is set up to use the built-in c - */ -public class RealDistributionSerializer extends JsonSerializer { - - @Override - public void serialize(RealDistribution d, JsonGenerator j, SerializerProvider serializerProvider) - throws IOException { - Class c = d.getClass(); - String s = c.getSimpleName(); - - j.writeStartObject(); - j.writeStringField("distribution", s); - - - if (c == BetaDistribution.class) { - BetaDistribution bd = (BetaDistribution) d; - j.writeNumberField("alpha", bd.getAlpha()); - j.writeNumberField("beta", bd.getBeta()); - } else if (c == CauchyDistribution.class) { - CauchyDistribution cd = (CauchyDistribution) d; - j.writeNumberField("median", cd.getMedian()); - j.writeNumberField("scale", cd.getScale()); - } else if (c == ChiSquaredDistribution.class) { - ChiSquaredDistribution cd = (ChiSquaredDistribution) d; - j.writeNumberField("dof", cd.getDegreesOfFreedom()); - } else if (c == ExponentialDistribution.class) { - ExponentialDistribution ed = (ExponentialDistribution) d; - j.writeNumberField("mean", ed.getMean()); - } else if (c == FDistribution.class) { - FDistribution fd = (FDistribution) d; - j.writeNumberField("numeratorDof", fd.getNumeratorDegreesOfFreedom()); - j.writeNumberField("denominatorDof", fd.getDenominatorDegreesOfFreedom()); - } else if (c == GammaDistribution.class) { - GammaDistribution gd = (GammaDistribution) d; - j.writeNumberField("shape", gd.getShape()); - j.writeNumberField("scale", gd.getScale()); - } else if (c == LevyDistribution.class) { - LevyDistribution ld = (LevyDistribution) d; - j.writeNumberField("mu", ld.getLocation()); - j.writeNumberField("c", ld.getScale()); - } else if (c == LogNormalDistribution.class) { - LogNormalDistribution ln = (LogNormalDistribution) d; - j.writeNumberField("scale", ln.getScale()); - j.writeNumberField("shape", ln.getShape()); - } else if (c == NormalDistribution.class) { - NormalDistribution nd = (NormalDistribution) d; - j.writeNumberField("mean", nd.getMean()); - j.writeNumberField("stdev", nd.getStandardDeviation()); - } else if (c == ParetoDistribution.class) { - ParetoDistribution pd = (ParetoDistribution) d; - j.writeNumberField("scale", pd.getScale()); - j.writeNumberField("shape", pd.getShape()); - } else if (c == TDistribution.class) { - TDistribution td = (TDistribution) d; - j.writeNumberField("dof", td.getDegreesOfFreedom()); - } else if (c == TriangularDistribution.class) { - TriangularDistribution td = (TriangularDistribution) d; - j.writeNumberField("a", td.getSupportLowerBound()); - j.writeNumberField("b", td.getMode()); - j.writeNumberField("c", td.getSupportUpperBound()); - } else if (c == UniformRealDistribution.class) { - UniformRealDistribution u = (UniformRealDistribution) d; - j.writeNumberField("lower", u.getSupportLowerBound()); - j.writeNumberField("upper", u.getSupportUpperBound()); - } else if (c == WeibullDistribution.class) { - WeibullDistribution wb = (WeibullDistribution) d; - j.writeNumberField("alpha", wb.getShape()); - j.writeNumberField("beta", wb.getScale()); - } else if (c == LogUniformDistribution.class){ - LogUniformDistribution lud = (LogUniformDistribution) d; - j.writeNumberField("min", lud.getMin()); - j.writeNumberField("max", lud.getMax()); - } else { - throw new UnsupportedOperationException("Unknown or not supported RealDistribution: " + d.getClass()); - } - - j.writeEndObject(); - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/YamlMapper.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/YamlMapper.java deleted file mode 100644 index 5b35220e9..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/optimize/serde/jackson/YamlMapper.java +++ /dev/null @@ -1,52 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.serde.jackson; - -import org.nd4j.shade.jackson.annotation.JsonAutoDetect; -import org.nd4j.shade.jackson.annotation.PropertyAccessor; -import org.nd4j.shade.jackson.databind.DeserializationFeature; -import org.nd4j.shade.jackson.databind.ObjectMapper; -import org.nd4j.shade.jackson.databind.SerializationFeature; -import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory; -import org.nd4j.shade.jackson.datatype.joda.JodaModule; - -/** - * Created by Alex on 16/11/2016. - */ -public class YamlMapper { - - private static final ObjectMapper mapper; - - static { - mapper = new ObjectMapper(new YAMLFactory()); - mapper.registerModule(new JodaModule()); - mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); - mapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false); - mapper.enable(SerializationFeature.INDENT_OUTPUT); - mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.NONE); - mapper.setVisibility(PropertyAccessor.FIELD, JsonAutoDetect.Visibility.ANY); - mapper.setVisibility(PropertyAccessor.CREATOR, JsonAutoDetect.Visibility.ANY); - } - - - private YamlMapper() {} - - public static ObjectMapper getMapper() { - return mapper; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/ClassPathResource.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/ClassPathResource.java deleted file mode 100644 index 9ec8c5f7e..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/ClassPathResource.java +++ /dev/null @@ -1,233 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.util; - -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import java.io.*; -import java.net.MalformedURLException; -import java.net.URI; -import java.net.URISyntaxException; -import java.net.URL; -import java.util.zip.ZipEntry; -import java.util.zip.ZipFile; - -/** - * Simple utility class used to get access to files at the classpath, or packed into jar. - * Based on Spring ClassPathResource implementation + jar internals access implemented. - * - * - * @author raver119@gmail.com - */ -public class ClassPathResource { - - private String resourceName; - - private static Logger log = LoggerFactory.getLogger(ClassPathResource.class); - - /** - * Builds new ClassPathResource object - * - * @param resourceName String name of resource, to be retrieved - */ - public ClassPathResource(String resourceName) { - if (resourceName == null) - throw new IllegalStateException("Resource name can't be null"); - this.resourceName = resourceName; - } - - /** - * Returns URL of the requested resource - * - * @return URL of the resource, if it's available in current Jar - */ - private URL getUrl() { - ClassLoader loader = null; - try { - loader = Thread.currentThread().getContextClassLoader(); - } catch (Exception e) { - // do nothing - } - - if (loader == null) { - loader = ClassPathResource.class.getClassLoader(); - } - - URL url = loader.getResource(this.resourceName); - if (url == null) { - // try to check for mis-used starting slash - // TODO: see TODO below - if (this.resourceName.startsWith("/")) { - url = loader.getResource(this.resourceName.replaceFirst("[\\\\/]", "")); - if (url != null) - return url; - } else { - // try to add slash, to make clear it's not an issue - // TODO: change this mechanic to actual path purifier - url = loader.getResource("/" + this.resourceName); - if (url != null) - return url; - } - throw new IllegalStateException("Resource '" + this.resourceName + "' cannot be found."); - } - return url; - } - - /** - * Returns requested ClassPathResource as File object - * - * Please note: if this method called from compiled jar, temporary file will be created to provide File access - * - * @return File requested at constructor call - * @throws FileNotFoundException - */ - public File getFile() throws FileNotFoundException { - URL url = this.getUrl(); - - if (isJarURL(url)) { - /* - This is actually request for file, that's packed into jar. Probably the current one, but that doesn't matters. - */ - try { - url = extractActualUrl(url); - File file = File.createTempFile("canova_temp", "file"); - file.deleteOnExit(); - - ZipFile zipFile = new ZipFile(url.getFile()); - ZipEntry entry = zipFile.getEntry(this.resourceName); - if (entry == null) { - if (this.resourceName.startsWith("/")) { - entry = zipFile.getEntry(this.resourceName.replaceFirst("/", "")); - if (entry == null) { - throw new FileNotFoundException("Resource " + this.resourceName + " not found"); - } - } else - throw new FileNotFoundException("Resource " + this.resourceName + " not found"); - } - - long size = entry.getSize(); - - InputStream stream = zipFile.getInputStream(entry); - FileOutputStream outputStream = new FileOutputStream(file); - byte[] array = new byte[1024]; - int rd = 0; - long bytesRead = 0; - do { - rd = stream.read(array); - outputStream.write(array, 0, rd); - bytesRead += rd; - } while (bytesRead < size); - - outputStream.flush(); - outputStream.close(); - - stream.close(); - zipFile.close(); - - return file; - } catch (Exception e) { - throw new RuntimeException(e); - } - - } else { - /* - It's something in the actual underlying filesystem, so we can just go for it - */ - - try { - URI uri = new URI(url.toString().replaceAll(" ", "%20")); - return new File(uri.getSchemeSpecificPart()); - } catch (URISyntaxException e) { - return new File(url.getFile()); - } - } - } - - /** - * Checks, if proposed URL is packed into archive. - * - * @param url URL to be checked - * @return True, if URL is archive entry, False otherwise - */ - private boolean isJarURL(URL url) { - String protocol = url.getProtocol(); - return "jar".equals(protocol) || "zip".equals(protocol) || "wsjar".equals(protocol) - || "code-source".equals(protocol) && url.getPath().contains("!/"); - } - - /** - * Extracts parent Jar URL from original ClassPath entry URL. - * - * @param jarUrl Original URL of the resource - * @return URL of the Jar file, containing requested resource - * @throws MalformedURLException - */ - private URL extractActualUrl(URL jarUrl) throws MalformedURLException { - String urlFile = jarUrl.getFile(); - int separatorIndex = urlFile.indexOf("!/"); - if (separatorIndex != -1) { - String jarFile = urlFile.substring(0, separatorIndex); - - try { - return new URL(jarFile); - } catch (MalformedURLException var5) { - if (!jarFile.startsWith("/")) { - jarFile = "/" + jarFile; - } - - return new URL("file:" + jarFile); - } - } else { - return jarUrl; - } - } - - /** - * Returns requested ClassPathResource as InputStream object - * - * @return File requested at constructor call - * @throws FileNotFoundException - */ - public InputStream getInputStream() throws FileNotFoundException { - URL url = this.getUrl(); - if (isJarURL(url)) { - try { - url = extractActualUrl(url); - ZipFile zipFile = new ZipFile(url.getFile()); - ZipEntry entry = zipFile.getEntry(this.resourceName); - - if (entry == null) { - if (this.resourceName.startsWith("/")) { - entry = zipFile.getEntry(this.resourceName.replaceFirst("/", "")); - if (entry == null) { - throw new FileNotFoundException("Resource " + this.resourceName + " not found"); - } - } else - throw new FileNotFoundException("Resource " + this.resourceName + " not found"); - } - - return zipFile.getInputStream(entry); - } catch (Exception e) { - throw new RuntimeException(e); - } - } else { - File srcFile = this.getFile(); - return new FileInputStream(srcFile); - } - } -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/CollectionUtils.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/CollectionUtils.java deleted file mode 100644 index eb9275d82..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/CollectionUtils.java +++ /dev/null @@ -1,49 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.util; - -import java.util.ArrayList; -import java.util.Collection; -import java.util.HashSet; -import java.util.List; - -public class CollectionUtils { - - /** - * Count the number of unique values in a collection - */ - public static int countUnique(Collection collection) { - HashSet set = new HashSet<>(collection); - return set.size(); - } - - /** - * Returns a list containing only unique values in a collection - */ - public static List getUnique(Collection collection) { - HashSet set = new HashSet<>(); - List out = new ArrayList<>(); - for (T t : collection) { - if (!set.contains(t)) { - out.add(t); - set.add(t); - } - } - return out; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/LeafUtils.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/LeafUtils.java deleted file mode 100644 index 2a4abe79d..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/LeafUtils.java +++ /dev/null @@ -1,74 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.util; - -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; - -import java.util.ArrayList; -import java.util.List; - -/** - * Created by Alex on 29/06/2017. - */ -public class LeafUtils { - - private LeafUtils() {} - - /** - * Returns a list of unique objects, not using the .equals() method, but rather using == - * - * @param allLeaves Leaf values to process - * @return A list of unique parameter space values - */ - public static List getUniqueObjects(List allLeaves) { - List unique = new ArrayList<>(); - for (ParameterSpace p : allLeaves) { - //This isn't especially efficient, but small number of parameters in general means it's fine - boolean found = false; - for (ParameterSpace q : unique) { - if (p == q) { - found = true; - break; - } - } - if (!found) { - unique.add(p); - } - } - - return unique; - } - - /** - * Count the number of unique parameters in the specified leaf nodes - * - * @param allLeaves Leaf values to count the parameters fore - * @return Number of parameters for all unique objects - */ - public static int countUniqueParameters(List allLeaves) { - List unique = getUniqueObjects(allLeaves); - int count = 0; - for (ParameterSpace ps : unique) { - if (!ps.isLeaf()) { - throw new IllegalStateException("Method should only be used with leaf nodes"); - } - count += ps.numParameters(); - } - return count; - } - -} diff --git a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/ObjectUtils.java b/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/ObjectUtils.java deleted file mode 100644 index 9c3213430..000000000 --- a/arbiter/arbiter-core/src/main/java/org/deeplearning4j/arbiter/util/ObjectUtils.java +++ /dev/null @@ -1,61 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.util; - -import java.util.Arrays; - -/** - * @author Alex Black - */ -public class ObjectUtils { - - private ObjectUtils() {} - - /** - * Get the string representation of the object. Arrays, including primitive arrays, are printed using - * Arrays.toString(...) methods. - * - * @param v Value to convert to a string - * @return String representation - */ - public static String valueToString(Object v) { - if (v.getClass().isArray()) { - if (v.getClass().getComponentType().isPrimitive()) { - Class c = v.getClass().getComponentType(); - if (c == int.class) { - return Arrays.toString((int[]) v); - } else if (c == double.class) { - return Arrays.toString((double[]) v); - } else if (c == float.class) { - return Arrays.toString((float[]) v); - } else if (c == long.class) { - return Arrays.toString((long[]) v); - } else if (c == byte.class) { - return Arrays.toString((byte[]) v); - } else if (c == short.class) { - return Arrays.toString((short[]) v); - } else { - return v.toString(); - } - } else { - return Arrays.toString((Object[]) v); - } - } else { - return v.toString(); - } - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/AssertTestsExtendBaseClass.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/AssertTestsExtendBaseClass.java deleted file mode 100644 index cfb5e2556..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/AssertTestsExtendBaseClass.java +++ /dev/null @@ -1,49 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ -package org.deeplearning4j.arbiter.optimize; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.nd4j.common.tests.AbstractAssertTestsClass; -import java.util.*; - -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - -@Slf4j -public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { - - @Override - protected Set> getExclusions() { - //Set of classes that are exclusions to the rule (either run manually or have their own logging + timeouts) - return new HashSet<>(); - } - - @Override - protected String getPackageName() { - return "org.deeplearning4j.arbiter.optimize"; - } - - @Override - protected Class getBaseClass() { - return BaseDL4JTest.class; - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/BraninFunction.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/BraninFunction.java deleted file mode 100644 index 4d507ee7d..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/BraninFunction.java +++ /dev/null @@ -1,156 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize; - -import lombok.AllArgsConstructor; -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.api.*; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.CandidateStatus; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; - -import java.io.Serializable; -import java.util.*; -import java.util.concurrent.Callable; - -public class BraninFunction { - public static class BraninSpace extends AbstractParameterSpace { - private int[] indices; - private ParameterSpace first = new ContinuousParameterSpace(-5, 10); - private ParameterSpace second = new ContinuousParameterSpace(0, 15); - - @Override - public BraninConfig getValue(double[] parameterValues) { - double f = first.getValue(parameterValues); - double s = second.getValue(parameterValues); - return new BraninConfig(f, s); //-5 to +10 and 0 to 15 - } - - @Override - public int numParameters() { - return 2; - } - - @Override - public List collectLeaves() { - List list = new ArrayList<>(); - list.addAll(first.collectLeaves()); - list.addAll(second.collectLeaves()); - return list; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - throw new UnsupportedOperationException(); - } - } - - @AllArgsConstructor - @Data - public static class BraninConfig implements Serializable { - private double x1; - private double x2; - } - - public static class BraninScoreFunction implements ScoreFunction { - private static final double a = 1.0; - private static final double b = 5.1 / (4.0 * Math.PI * Math.PI); - private static final double c = 5.0 / Math.PI; - private static final double r = 6.0; - private static final double s = 10.0; - private static final double t = 1.0 / (8.0 * Math.PI); - - @Override - public double score(Object m, DataProvider data, Map dataParameters) { - BraninConfig model = (BraninConfig) m; - double x1 = model.getX1(); - double x2 = model.getX2(); - - return a * Math.pow(x2 - b * x1 * x1 + c * x1 - r, 2.0) + s * (1 - t) * Math.cos(x1) + s; - } - - @Override - public double score(Object model, Class dataSource, Properties dataSourceProperties) { - throw new UnsupportedOperationException(); - } - - @Override - public boolean minimize() { - return true; - } - - @Override - public List> getSupportedModelTypes() { - return Collections.>singletonList(BraninConfig.class); - } - - @Override - public List> getSupportedDataTypes() { - return Collections.>singletonList(Object.class); - } - } - - public static class BraninTaskCreator implements TaskCreator { - @Override - public Callable create(final Candidate c, DataProvider dataProvider, - final ScoreFunction scoreFunction, final List statusListeners, - IOptimizationRunner runner) { - - return new Callable() { - @Override - public OptimizationResult call() throws Exception { - - BraninConfig candidate = (BraninConfig) c.getValue(); - - double score = scoreFunction.score(candidate, null, (Map) null); -// System.out.println(candidate.getX1() + "\t" + candidate.getX2() + "\t" + score); - - Thread.sleep(20); - - if (statusListeners != null) { - for (StatusListener sl : statusListeners) { - sl.onCandidateIteration(null, null, 0); - } - } - - CandidateInfo ci = new CandidateInfo(-1, CandidateStatus.Complete, score, - System.currentTimeMillis(), null, null, null, null); - - return new OptimizationResult(c, score, c.getIndex(), null, ci, null); - } - }; - } - - @Override - public Callable create(Candidate candidate, Class dataSource, - Properties dataSourceProperties, ScoreFunction scoreFunction, - List statusListeners, IOptimizationRunner runner) { - throw new UnsupportedOperationException(); - } - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestGeneticSearch.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestGeneticSearch.java deleted file mode 100644 index abfedac5e..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestGeneticSearch.java +++ /dev/null @@ -1,118 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.GeneticSearchCandidateGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.exceptions.GeneticGenerationException; -import org.deeplearning4j.arbiter.optimize.generator.genetic.selection.SelectionOperator; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.CandidateStatus; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.impl.LoggingStatusListener; -import org.junit.Assert; -import org.junit.Test; - -public class TestGeneticSearch extends BaseDL4JTest { - public class TestSelectionOperator extends SelectionOperator { - - @Override - public double[] buildNextGenes() { - throw new GeneticGenerationException("Forced exception to test exception handling."); - } - } - - public class TestTerminationCondition implements TerminationCondition { - - public boolean hasAFailedCandidate = false; - public int evalCount = 0; - - @Override - public void initialize(IOptimizationRunner optimizationRunner) {} - - @Override - public boolean terminate(IOptimizationRunner optimizationRunner) { - if (++evalCount == 50) { - // Generator did not handle GeneticGenerationException - return true; - } - - for (CandidateInfo candidateInfo : optimizationRunner.getCandidateStatus()) { - if (candidateInfo.getCandidateStatus() == CandidateStatus.Failed) { - hasAFailedCandidate = true; - return true; - } - } - - return false; - } - } - - @Test - public void GeneticSearchCandidateGenerator_getCandidate_ShouldGenerateCandidates() throws Exception { - - ScoreFunction scoreFunction = new BraninFunction.BraninScoreFunction(); - - //Define configuration: - CandidateGenerator candidateGenerator = - new GeneticSearchCandidateGenerator.Builder(new BraninFunction.BraninSpace(), scoreFunction) - .build(); - - TestTerminationCondition testTerminationCondition = new TestTerminationCondition(); - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).scoreFunction(scoreFunction) - .terminationConditions(new MaxCandidatesCondition(50), testTerminationCondition).build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new BraninFunction.BraninTaskCreator()); - - runner.addListeners(new LoggingStatusListener()); - runner.execute(); - - Assert.assertFalse(testTerminationCondition.hasAFailedCandidate); - } - - @Test - public void GeneticSearchCandidateGenerator_getCandidate_GeneticExceptionShouldMarkCandidateAsFailed() { - - ScoreFunction scoreFunction = new BraninFunction.BraninScoreFunction(); - - //Define configuration: - CandidateGenerator candidateGenerator = - new GeneticSearchCandidateGenerator.Builder(new BraninFunction.BraninSpace(), scoreFunction) - .selectionOperator(new TestSelectionOperator()).build(); - - TestTerminationCondition testTerminationCondition = new TestTerminationCondition(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).scoreFunction(scoreFunction) - .terminationConditions(testTerminationCondition).build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new BraninFunction.BraninTaskCreator()); - - runner.addListeners(new LoggingStatusListener()); - runner.execute(); - - Assert.assertTrue(testTerminationCondition.hasAFailedCandidate); - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestGridSearch.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestGridSearch.java deleted file mode 100644 index 24f80bf23..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestGridSearch.java +++ /dev/null @@ -1,104 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator; -import org.junit.Test; - -import java.util.HashMap; -import java.util.Map; - -import static org.junit.Assert.*; - -public class TestGridSearch extends BaseDL4JTest { - - @Test - public void testIndexing() { - int[] nValues = {2, 3}; - int prod = 2 * 3; - double[][] expVals = new double[][] {{0.0, 0.0}, {1.0, 0.0}, {0.0, 0.5}, {1.0, 0.5}, {0.0, 1.0}, {1.0, 1.0}}; - for (int i = 0; i < prod; i++) { - double[] out = GridSearchCandidateGenerator.indexToValues(nValues, i, prod); - double[] exp = expVals[i]; - assertArrayEquals(exp, out, 1e-4); - } - } - - @Test - public void testGeneration() throws Exception { - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, new HashMap<>()); - - //Define configuration: - CandidateGenerator candidateGenerator = new GridSearchCandidateGenerator(new BraninFunction.BraninSpace(), 4, - GridSearchCandidateGenerator.Mode.Sequential, commands); - - //Check sequential: - double[] expValuesFirst = {-5, 0, 5, 10}; //Range: -5 to +10, with 4 values - double[] expValuesSecond = {0, 5, 10, 15}; //Range: 0 to +15, with 4 values - for (int i = 0; i < 4 * 4; i++) { - BraninFunction.BraninConfig conf = (BraninFunction.BraninConfig) candidateGenerator.getCandidate().getValue(); - double expF = expValuesFirst[i % 4]; //Changes most rapidly - double expS = expValuesSecond[i / 4]; - - double actF = conf.getX1(); - double actS = conf.getX2(); - - assertEquals(expF, actF, 1e-4); - assertEquals(expS, actS, 1e-4); - } - - //Check random order. specifically: check that all values are generated, in some order - double[][] orderedOutput = new double[16][2]; - for (int i = 0; i < expValuesFirst.length; i++) { - for (int j = 0; j < expValuesSecond.length; j++) { - orderedOutput[4 * j + i][0] = expValuesFirst[i]; - orderedOutput[4 * j + i][1] = expValuesSecond[j]; - } - } - - - candidateGenerator = new GridSearchCandidateGenerator(new BraninFunction.BraninSpace(), 4, - GridSearchCandidateGenerator.Mode.RandomOrder, commands); - boolean[] seen = new boolean[16]; - int seenCount = 0; - for (int i = 0; i < 4 * 4; i++) { - assertTrue(candidateGenerator.hasMoreCandidates()); - BraninFunction.BraninConfig config = (BraninFunction.BraninConfig) candidateGenerator.getCandidate().getValue(); - double x1 = config.getX1(); - double x2 = config.getX2(); - //Work out which of the values this is... - boolean matched = false; - for (int j = 0; j < 16; j++) { - if (Math.abs(orderedOutput[j][0] - x1) < 1e-5 && Math.abs(orderedOutput[j][1] - x2) < 1e-5) { - matched = true; - if (seen[j]) - fail("Same candidate generated multiple times"); - seen[j] = true; - seenCount++; - break; - } - } - assertTrue("Candidate " + x1 + ", " + x2 + " not found; invalid?", matched); - } - assertFalse(candidateGenerator.hasMoreCandidates()); - assertEquals(16, seenCount); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestJson.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestJson.java deleted file mode 100644 index cf5b1e1c7..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestJson.java +++ /dev/null @@ -1,122 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize; - -import org.apache.commons.math3.distribution.LogNormalDistribution; -import org.apache.commons.math3.distribution.NormalDistribution; -import org.apache.commons.math3.distribution.UniformIntegerDistribution; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.parameter.BooleanSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.junit.Test; -import org.nd4j.shade.jackson.annotation.JsonAutoDetect; -import org.nd4j.shade.jackson.annotation.PropertyAccessor; -import org.nd4j.shade.jackson.core.JsonFactory; -import org.nd4j.shade.jackson.databind.DeserializationFeature; -import org.nd4j.shade.jackson.databind.ObjectMapper; -import org.nd4j.shade.jackson.databind.SerializationFeature; -import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory; -import org.nd4j.shade.jackson.datatype.joda.JodaModule; - -import java.util.ArrayList; -import java.util.HashMap; -import java.util.List; -import java.util.Map; - -import static org.junit.Assert.assertEquals; - -/** - * Created by Alex on 02/02/2017. - */ -public class TestJson extends BaseDL4JTest { - - protected static ObjectMapper getObjectMapper(JsonFactory factory) { - ObjectMapper om = new ObjectMapper(factory); - om.registerModule(new JodaModule()); - om.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); - om.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false); - om.enable(SerializationFeature.INDENT_OUTPUT); - om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.NONE); - om.setVisibility(PropertyAccessor.FIELD, JsonAutoDetect.Visibility.ANY); - om.setVisibility(PropertyAccessor.CREATOR, JsonAutoDetect.Visibility.ANY); - return om; - } - - private static ObjectMapper jsonMapper = getObjectMapper(new JsonFactory()); - private static ObjectMapper yamlMapper = getObjectMapper(new YAMLFactory()); - - - @Test - public void testParameterSpaceJson() throws Exception { - - List> l = new ArrayList<>(); - l.add(new FixedValue<>(1.0)); - l.add(new FixedValue<>(1)); - l.add(new FixedValue<>("string")); - l.add(new ContinuousParameterSpace(-1, 1)); - l.add(new ContinuousParameterSpace(new LogNormalDistribution(1, 1))); - l.add(new ContinuousParameterSpace(new NormalDistribution(2, 0.01))); - l.add(new DiscreteParameterSpace<>(1, 5, 7)); - l.add(new DiscreteParameterSpace<>("first", "second", "third")); - l.add(new IntegerParameterSpace(0, 10)); - l.add(new IntegerParameterSpace(new UniformIntegerDistribution(0, 50))); - l.add(new BooleanSpace()); - - for (ParameterSpace ps : l) { - String strJson = jsonMapper.writeValueAsString(ps); - String strYaml = yamlMapper.writeValueAsString(ps); - - ParameterSpace fromJson = jsonMapper.readValue(strJson, ParameterSpace.class); - ParameterSpace fromYaml = yamlMapper.readValue(strYaml, ParameterSpace.class); - - assertEquals(ps, fromJson); - assertEquals(ps, fromYaml); - } - } - - @Test - public void testCandidateGeneratorJson() throws Exception { - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, new HashMap<>()); - - List l = new ArrayList<>(); - l.add(new GridSearchCandidateGenerator(new DiscreteParameterSpace<>(0, 1, 2, 3, 4, 5), 10, - GridSearchCandidateGenerator.Mode.Sequential, commands)); - l.add(new GridSearchCandidateGenerator(new DiscreteParameterSpace<>(0, 1, 2, 3, 4, 5), 10, - GridSearchCandidateGenerator.Mode.RandomOrder, commands)); - l.add(new RandomSearchGenerator(new DiscreteParameterSpace<>(0, 1, 2, 3, 4, 5), commands)); - - for (CandidateGenerator cg : l) { - String strJson = jsonMapper.writeValueAsString(cg); - String strYaml = yamlMapper.writeValueAsString(cg); - - CandidateGenerator fromJson = jsonMapper.readValue(strJson, CandidateGenerator.class); - CandidateGenerator fromYaml = yamlMapper.readValue(strYaml, CandidateGenerator.class); - - assertEquals(cg, fromJson); - assertEquals(cg, fromYaml); - } - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestRandomSearch.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestRandomSearch.java deleted file mode 100644 index 99d2ad8d7..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/TestRandomSearch.java +++ /dev/null @@ -1,61 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.impl.LoggingStatusListener; -import org.junit.Test; - -import java.util.HashMap; -import java.util.Map; - -/** - * - * Test random search on the Branin Function: - * http://www.sfu.ca/~ssurjano/branin.html - */ -public class TestRandomSearch extends BaseDL4JTest { - - @Test - public void test() throws Exception { - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, new HashMap<>()); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(new BraninFunction.BraninSpace(), commands); - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).scoreFunction(new BraninFunction.BraninScoreFunction()) - .terminationConditions(new MaxCandidatesCondition(50)).build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new BraninFunction.BraninTaskCreator()); - - runner.addListeners(new LoggingStatusListener()); - runner.execute(); - - -// System.out.println("----- Complete -----"); - } - - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/distribution/TestLogUniform.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/distribution/TestLogUniform.java deleted file mode 100644 index 6ca842637..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/distribution/TestLogUniform.java +++ /dev/null @@ -1,70 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.distribution; - -import org.apache.commons.math3.distribution.RealDistribution; -import org.deeplearning4j.BaseDL4JTest; -import org.junit.Test; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertTrue; - -public class TestLogUniform extends BaseDL4JTest { - - @Test - public void testSimple(){ - - double min = 0.5; - double max = 3; - - double logMin = Math.log(min); - double logMax = Math.log(max); - - RealDistribution rd = new LogUniformDistribution(min, max); - - for(double d = 0.1; d<= 3.5; d+= 0.1){ - double density = rd.density(d); - double cumulative = rd.cumulativeProbability(d); - double dExp; - double cumExp; - if(d < min){ - dExp = 0; - cumExp = 0; - } else if( d > max){ - dExp = 0; - cumExp = 1; - } else { - dExp = 1.0 / (d * (logMax-logMin)); - cumExp = (Math.log(d) - logMin) / (logMax - logMin); - } - - assertTrue(dExp >= 0); - assertTrue(cumExp >= 0); - assertTrue(cumExp <= 1.0); - assertEquals(dExp, density, 1e-5); - assertEquals(cumExp, cumulative, 1e-5); - } - - rd.reseedRandomGenerator(12345); - for( int i=0; i<100; i++ ){ - double d = rd.sample(); - assertTrue(d >= min); - assertTrue(d <= max); - } - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestCrossoverOperator.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestCrossoverOperator.java deleted file mode 100644 index 9297c3df7..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestCrossoverOperator.java +++ /dev/null @@ -1,40 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; - -public class TestCrossoverOperator extends CrossoverOperator { - - private final CrossoverResult[] results; - private int resultIdx = 0; - - public PopulationModel getPopulationModel() { - return populationModel; - } - - public TestCrossoverOperator(CrossoverResult[] results) { - this.results = results; - } - - @Override - public CrossoverResult crossover() { - return results[resultIdx++]; - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestMutationOperator.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestMutationOperator.java deleted file mode 100644 index 4718714d1..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestMutationOperator.java +++ /dev/null @@ -1,34 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.mutation.MutationOperator; - -public class TestMutationOperator implements MutationOperator { - - private final boolean[] results; - private int resultIdx = 0; - - public TestMutationOperator(boolean[] results) { - this.results = results; - } - - @Override - public boolean mutate(double[] genes) { - return results[resultIdx++]; - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestParentSelection.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestParentSelection.java deleted file mode 100644 index 7f9c33b14..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestParentSelection.java +++ /dev/null @@ -1,52 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; - -import java.util.List; - -public class TestParentSelection extends TwoParentSelection { - - public boolean hasBeenInitialized; - - private final double[][] parents; - - public TestParentSelection(double[][] parents) { - this.parents = parents; - } - - public TestParentSelection() { - this(null); - } - - @Override - public void initializeInstance(List population) { - super.initializeInstance(population); - hasBeenInitialized = true; - } - - @Override - public double[][] selectParents() { - return parents; - } - - public List getPopulation() { - return population; - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestPopulationInitializer.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestPopulationInitializer.java deleted file mode 100644 index 926555f79..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestPopulationInitializer.java +++ /dev/null @@ -1,30 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic; - -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; - -import java.util.ArrayList; -import java.util.List; - -public class TestPopulationInitializer implements PopulationInitializer { - @Override - public List getInitializedPopulation(int size) { - return new ArrayList<>(); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestRandomGenerator.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestRandomGenerator.java deleted file mode 100644 index abeba96e8..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/TestRandomGenerator.java +++ /dev/null @@ -1,88 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic; - -import org.apache.commons.lang3.NotImplementedException; -import org.apache.commons.math3.random.RandomGenerator; - -public class TestRandomGenerator implements RandomGenerator { - private final int[] intRandomNumbers; - private int currentIntIdx = 0; - private final double[] doubleRandomNumbers; - private int currentDoubleIdx = 0; - - - public TestRandomGenerator(int[] intRandomNumbers, double[] doubleRandomNumbers) { - this.intRandomNumbers = intRandomNumbers; - this.doubleRandomNumbers = doubleRandomNumbers; - } - - @Override - public void setSeed(int i) { - - } - - @Override - public void setSeed(int[] ints) { - - } - - @Override - public void setSeed(long l) { - - } - - @Override - public void nextBytes(byte[] bytes) { - - } - - @Override - public int nextInt() { - return intRandomNumbers[currentIntIdx++]; - } - - @Override - public int nextInt(int i) { - return intRandomNumbers[currentIntIdx++]; - } - - @Override - public long nextLong() { - throw new NotImplementedException("Not implemented"); - } - - @Override - public boolean nextBoolean() { - throw new NotImplementedException("Not implemented"); - } - - @Override - public float nextFloat() { - throw new NotImplementedException("Not implemented"); - } - - @Override - public double nextDouble() { - return doubleRandomNumbers[currentDoubleIdx++]; - } - - @Override - public double nextGaussian() { - throw new NotImplementedException("Not implemented"); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/ArithmeticCrossoverTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/ArithmeticCrossoverTests.java deleted file mode 100644 index 252b4304f..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/ArithmeticCrossoverTests.java +++ /dev/null @@ -1,68 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.ArithmeticCrossover; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.genetic.TestParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -public class ArithmeticCrossoverTests extends BaseDL4JTest { - - @Test - public void ArithmeticCrossover_Crossover_OutsideCrossoverRate_ShouldReturnParent0() { - double[][] parents = new double[2][]; - parents[0] = new double[] {1.0}; - parents[1] = new double[] {2.0}; - - TestParentSelection parentSelection = new TestParentSelection(parents); - - RandomGenerator rng = new TestRandomGenerator(null, new double[] {1.0}); - - ArithmeticCrossover sut = - new ArithmeticCrossover.Builder().parentSelection(parentSelection).randomGenerator(rng).build(); - CrossoverResult result = sut.crossover(); - - Assert.assertFalse(result.isModified()); - Assert.assertEquals(1, result.getGenes().length); - Assert.assertEquals(1.0, result.getGenes()[0], 0.001); - } - - @Test - public void ArithmeticCrossover_Crossover_WithinCrossoverRate_ShouldReturnLinearCombination() { - double[][] parents = new double[2][]; - parents[0] = new double[] {1.0}; - parents[1] = new double[] {2.0}; - - TestParentSelection parentSelection = new TestParentSelection(parents); - - RandomGenerator rng = new TestRandomGenerator(null, new double[] {0.1, 0.1}); - - ArithmeticCrossover sut = - new ArithmeticCrossover.Builder().parentSelection(parentSelection).randomGenerator(rng).build(); - CrossoverResult result = sut.crossover(); - - Assert.assertTrue(result.isModified()); - Assert.assertEquals(1, result.getGenes().length); - Assert.assertEquals(1.9, result.getGenes()[0], 0.001); - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/CrossoverOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/CrossoverOperatorTests.java deleted file mode 100644 index 50ae7f729..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/CrossoverOperatorTests.java +++ /dev/null @@ -1,43 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.genetic.TestCrossoverOperator; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.junit.Assert; -import org.junit.Test; - -public class CrossoverOperatorTests extends BaseDL4JTest { - - @Test - public void CrossoverOperator_initializeInstance_ShouldInitPopulationModel() throws IllegalAccessException { - TestCrossoverOperator sut = new TestCrossoverOperator(null); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel populationModel = - new PopulationModel.Builder().populationInitializer(populationInitializer).build(); - sut.initializeInstance(populationModel); - - Assert.assertSame(populationModel, sut.getPopulationModel()); - - - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/CrossoverPointsGeneratorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/CrossoverPointsGeneratorTests.java deleted file mode 100644 index 5c1bebb51..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/CrossoverPointsGeneratorTests.java +++ /dev/null @@ -1,45 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.utils.CrossoverPointsGenerator; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -import java.util.Deque; - -public class CrossoverPointsGeneratorTests extends BaseDL4JTest { - - @Test - public void CrossoverPointsGenerator_FixedNumberCrossovers() { - RandomGenerator rng = new TestRandomGenerator(new int[] {0}, null); - CrossoverPointsGenerator sut = new CrossoverPointsGenerator(10, 2, 2, rng); - - Deque result = sut.getCrossoverPoints(); - - Assert.assertEquals(3, result.size()); - int a = result.pop(); - int b = result.pop(); - int c = result.pop(); - Assert.assertTrue(a < b); - Assert.assertTrue(b < c); - Assert.assertEquals(Integer.MAX_VALUE, c); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/KPointCrossoverTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/KPointCrossoverTests.java deleted file mode 100644 index 2399d256a..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/KPointCrossoverTests.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.KPointCrossover; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -public class KPointCrossoverTests extends BaseDL4JTest { - - @Test - public void KPointCrossover_BelowCrossoverRate_ShouldReturnParent0() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {1.0}); - - double[][] parents = new double[2][]; - parents[0] = new double[] {0.0}; - parents[1] = new double[] {1.0}; - TwoParentSelection parentSelection = new TestParentSelection(parents); - KPointCrossover sut = new KPointCrossover.Builder().randomGenerator(rng).crossoverRate(0.0) - .parentSelection(parentSelection).build(); - - CrossoverResult result = sut.crossover(); - - Assert.assertFalse(result.isModified()); - Assert.assertSame(parents[0], result.getGenes()); - } - - @Test - public void KPointCrossover_FixedNumberOfCrossovers() { - RandomGenerator rng = new TestRandomGenerator(new int[] {0, 1}, new double[] {0.0}); - - double[][] parents = new double[3][]; - parents[0] = new double[] {0.0, 0.0, 0.0, 0.0, 0.0}; - parents[1] = new double[] {1.0, 1.0, 1.0, 1.0, 1.0}; - parents[2] = new double[] {2.0, 2.0, 2.0, 2.0, 2.0}; - TwoParentSelection parentSelection = new TestParentSelection(parents); - KPointCrossover sut = new KPointCrossover.Builder().randomGenerator(rng).crossoverRate(1.0) - .parentSelection(parentSelection).numCrossovers(2).build(); - - CrossoverResult result = sut.crossover(); - - Assert.assertTrue(result.isModified()); - for (double x : result.getGenes()) { - Assert.assertTrue(x == 0.0 || x == 1.0); - } - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/ParentSelectionTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/ParentSelectionTests.java deleted file mode 100644 index 6976d8dd4..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/ParentSelectionTests.java +++ /dev/null @@ -1,39 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.genetic.TestParentSelection; -import org.junit.Assert; -import org.junit.Test; - -import java.util.ArrayList; -import java.util.List; - -public class ParentSelectionTests extends BaseDL4JTest { - - @Test - public void ParentSelection_InitializeInstance_ShouldInitPopulation() { - TestParentSelection sut = new TestParentSelection(); - - List population = new ArrayList<>(); - sut.initializeInstance(population); - - Assert.assertSame(population, sut.getPopulation()); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/RandomTwoParentSelectionTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/RandomTwoParentSelectionTests.java deleted file mode 100644 index 09b244ab3..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/RandomTwoParentSelectionTests.java +++ /dev/null @@ -1,47 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.RandomTwoParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -import java.util.ArrayList; -import java.util.List; - -public class RandomTwoParentSelectionTests extends BaseDL4JTest { - @Test - public void RandomTwoParentSelection_ShouldReturnTwoDifferentParents() { - RandomGenerator rng = new TestRandomGenerator(new int[] {1, 1, 1, 0}, null); - RandomTwoParentSelection sut = new RandomTwoParentSelection(rng); - - List population = new ArrayList<>(); - population.add(new Chromosome(new double[] {1, 1, 1}, 1.0)); - population.add(new Chromosome(new double[] {2, 2, 2}, 2.0)); - population.add(new Chromosome(new double[] {3, 3, 3}, 3.0)); - sut.initializeInstance(population); - - double[][] result = sut.selectParents(); - - Assert.assertSame(population.get(1).getGenes(), result[0]); - Assert.assertSame(population.get(0).getGenes(), result[1]); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/SinglePointCrossoverTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/SinglePointCrossoverTests.java deleted file mode 100644 index 32dfb136c..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/SinglePointCrossoverTests.java +++ /dev/null @@ -1,68 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.SinglePointCrossover; -import org.deeplearning4j.arbiter.optimize.genetic.TestParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -public class SinglePointCrossoverTests extends BaseDL4JTest { - @Test - public void SinglePointCrossover_BelowCrossoverRate_ShouldReturnParent0() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {1.0}); - - double[][] parents = new double[2][]; - parents[0] = new double[] {1.0, 1.0, 1.0}; - parents[1] = new double[] {2.0, 2.0, 2.0}; - TestParentSelection parentSelection = new TestParentSelection(parents); - - SinglePointCrossover sut = new SinglePointCrossover.Builder().parentSelection(parentSelection) - .randomGenerator(rng).crossoverRate(0.0).build(); - - CrossoverResult result = sut.crossover(); - - Assert.assertFalse(result.isModified()); - Assert.assertSame(parents[0], result.getGenes()); - } - - @Test - public void SinglePointCrossover_ShouldReturnSingleSplit() { - RandomGenerator rng = new TestRandomGenerator(new int[] {2}, new double[] {0.1}); - - double[][] parents = new double[2][]; - parents[0] = new double[] {1.0, 1.0, 1.0}; - parents[1] = new double[] {2.0, 2.0, 2.0}; - TestParentSelection parentSelection = new TestParentSelection(parents); - - SinglePointCrossover sut = new SinglePointCrossover.Builder().parentSelection(parentSelection) - .randomGenerator(rng).crossoverRate(0.5).build(); - - CrossoverResult result = sut.crossover(); - - Assert.assertTrue(result.isModified()); - Assert.assertEquals(1.0, result.getGenes()[0], 0.0); - Assert.assertEquals(1.0, result.getGenes()[1], 0.0); - Assert.assertEquals(2.0, result.getGenes()[2], 0.0); - - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/TwoParentsCrossoverOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/TwoParentsCrossoverOperatorTests.java deleted file mode 100644 index 9bde211f0..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/TwoParentsCrossoverOperatorTests.java +++ /dev/null @@ -1,71 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.lang3.NotImplementedException; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.TwoParentsCrossoverOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.parentselection.TwoParentSelection; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.genetic.TestParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.junit.Assert; -import org.junit.Test; - -public class TwoParentsCrossoverOperatorTests extends BaseDL4JTest { - - class TestTwoParentsCrossoverOperator extends TwoParentsCrossoverOperator { - - public TestTwoParentsCrossoverOperator(TwoParentSelection parentSelection) { - super(parentSelection); - } - - public TwoParentSelection getParentSelection() { - return parentSelection; - } - - @Override - public CrossoverResult crossover() { - throw new NotImplementedException("Not implemented"); - } - } - - @Test - public void TwoParentsCrossoverOperator_ctor_ShouldInitParentSelection() { - TestParentSelection parentSelection = new TestParentSelection(); - TestTwoParentsCrossoverOperator sut = new TestTwoParentsCrossoverOperator(parentSelection); - - Assert.assertSame(parentSelection, sut.getParentSelection()); - } - - @Test - public void TwoParentsCrossoverOperator_initializeInstanceShouldInitializeParentSelection() { - TestParentSelection parentSelection = new TestParentSelection(); - TestTwoParentsCrossoverOperator sut = new TestTwoParentsCrossoverOperator(parentSelection); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - PopulationModel populationModel = - new PopulationModel.Builder().populationInitializer(populationInitializer).build(); - - sut.initializeInstance(populationModel); - - Assert.assertTrue(parentSelection.hasBeenInitialized); - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/UniformCrossoverTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/UniformCrossoverTests.java deleted file mode 100644 index 76a395c28..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/crossover/UniformCrossoverTests.java +++ /dev/null @@ -1,68 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.crossover; - -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.UniformCrossover; -import org.deeplearning4j.arbiter.optimize.genetic.TestParentSelection; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -public class UniformCrossoverTests extends BaseDL4JTest { - - @Test - public void UniformCrossover_BelowCrossoverRate_ShouldReturnParent0() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {1.0}); - - double[][] parents = new double[2][]; - parents[0] = new double[] {1.0, 1.0, 1.0}; - parents[1] = new double[] {2.0, 2.0, 2.0}; - TestParentSelection parentSelection = new TestParentSelection(parents); - - UniformCrossover sut = new UniformCrossover.Builder().parentSelection(parentSelection).randomGenerator(rng) - .crossoverRate(0.0).build(); - - CrossoverResult result = sut.crossover(); - - Assert.assertFalse(result.isModified()); - Assert.assertSame(parents[0], result.getGenes()); - } - - @Test - public void UniformCrossover_ShouldReturnMixedParents() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {0.1, 0.1, 0.3, 0.2}); - - double[][] parents = new double[2][]; - parents[0] = new double[] {1.0, 1.0, 1.0}; - parents[1] = new double[] {2.0, 2.0, 2.0}; - TestParentSelection parentSelection = new TestParentSelection(parents); - - UniformCrossover sut = new UniformCrossover.Builder().parentSelection(parentSelection).randomGenerator(rng) - .crossoverRate(0.5).parentBiasFactor(0.3).build(); - - CrossoverResult result = sut.crossover(); - - Assert.assertTrue(result.isModified()); - Assert.assertEquals(1.0, result.getGenes()[0], 0.0); - Assert.assertEquals(2.0, result.getGenes()[1], 0.0); - Assert.assertEquals(1.0, result.getGenes()[2], 0.0); - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/culling/LeastFitCullOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/culling/LeastFitCullOperatorTests.java deleted file mode 100644 index ccdb434e8..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/culling/LeastFitCullOperatorTests.java +++ /dev/null @@ -1,62 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.culling; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.culling.LeastFitCullOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.junit.Assert; -import org.junit.Test; - -import java.util.ArrayList; -import java.util.List; - -public class LeastFitCullOperatorTests extends BaseDL4JTest { - - @Test - public void LeastFitCullingOperation_ShouldCullLastElements() { - LeastFitCullOperator sut = new LeastFitCullOperator(0.50); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel populationModel = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(10).build(); - sut.initializeInstance(populationModel); - - List originalChromosomes = new ArrayList<>(); - for (int i = 0; i < 10; ++i) { - originalChromosomes.add(new Chromosome(null, (double) i)); - } - - List chromosomes = populationModel.getPopulation(); - for (int i = 0; i < 10; ++i) { - chromosomes.add(originalChromosomes.get(i)); - } - - sut.cullPopulation(); - - Assert.assertEquals(5, chromosomes.size()); - for (int i = 0; i < 5; ++i) { - Assert.assertSame(originalChromosomes.get(i), chromosomes.get(i)); - } - } - - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/culling/RatioCullOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/culling/RatioCullOperatorTests.java deleted file mode 100644 index c85022dca..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/culling/RatioCullOperatorTests.java +++ /dev/null @@ -1,78 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.culling; - -import org.apache.commons.lang3.NotImplementedException; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.culling.RatioCullOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.junit.Assert; -import org.junit.Test; - -import java.util.List; - -public class RatioCullOperatorTests extends BaseDL4JTest { - - class TestRatioCullOperator extends RatioCullOperator { - - public TestRatioCullOperator() { - super(); - } - - public TestRatioCullOperator(double ratio) { - super(ratio); - } - - public List getPopulation() { - return population; - } - - @Override - public void cullPopulation() { - throw new NotImplementedException("Not implemented"); - } - - public double getCullRatio() { - return cullRatio; - } - } - - @Test - public void RatioCullingOperation_ctorWithCullRatio_ShouldHaveParamRatio() { - TestRatioCullOperator sut = new TestRatioCullOperator(0.123); - - Assert.assertEquals(0.123, sut.getCullRatio(), 0.0); - } - - @Test - public void RatioCullingOperation_initialize_shouldSetCulledSizeAndPopulation() throws IllegalAccessException { - TestRatioCullOperator sut = new TestRatioCullOperator(0.50); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel populationModel = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(10).build(); - sut.initializeInstance(populationModel); - - Assert.assertSame(populationModel.getPopulation(), sut.getPopulation()); - Assert.assertEquals(5, sut.getCulledSize()); - } - -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/mutation/RandomMutationOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/mutation/RandomMutationOperatorTests.java deleted file mode 100644 index 45ccaaa84..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/mutation/RandomMutationOperatorTests.java +++ /dev/null @@ -1,72 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.mutation; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.mutation.RandomMutationOperator; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -import java.lang.reflect.Field; - -public class RandomMutationOperatorTests extends BaseDL4JTest { - @Test - public void RandomMutationOperator_DefaultBuild_ShouldNotBeNull() { - RandomMutationOperator sut = new RandomMutationOperator.Builder().build(); - Assert.assertNotNull(sut); - } - - @Test - public void RandomMutationOperator_BuildWithMutationRate_ShouldUseSuppliedRate() throws Exception { - RandomMutationOperator sut = new RandomMutationOperator.Builder().mutationRate(0.123).build(); - - Field f = sut.getClass().getDeclaredField("mutationRate"); - f.setAccessible(true); - Double mutationRate = (Double) f.get(sut); - - Assert.assertEquals(0.123, mutationRate, 0.0); - } - - @Test - public void RandomMutationOperator_BelowMutationRate_ShouldNotMutate() { - double[] randomNumbers = new double[] {0.1, 1.0, 1.0}; - - RandomMutationOperator sut = new RandomMutationOperator.Builder().mutationRate(0.1) - .randomGenerator(new TestRandomGenerator(null, randomNumbers)).build(); - - double[] genes = new double[] {-1.0, -1.0, -1.0}; - boolean hasMutated = sut.mutate(genes); - - Assert.assertFalse(hasMutated); - Assert.assertArrayEquals(new double[]{-1.0, -1.0, -1.0}, genes, 0.0); - } - - @Test - public void RandomMutationOperator_AboveMutationRate_ShouldMutate() { - double[] randomNumbers = new double[] {0.099, 0.123, 1.0, 1.0}; - - RandomMutationOperator sut = new RandomMutationOperator.Builder().mutationRate(0.1) - .randomGenerator(new TestRandomGenerator(null, randomNumbers)).build(); - - double[] genes = new double[] {-1.0, -1.0, -1.0}; - boolean hasMutated = sut.mutate(genes); - - Assert.assertTrue(hasMutated); - Assert.assertArrayEquals(new double[]{0.123, -1.0, -1.0}, genes, 0.0); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/population/PopulationModelTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/population/PopulationModelTests.java deleted file mode 100644 index e185b8164..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/population/PopulationModelTests.java +++ /dev/null @@ -1,195 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.population; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.Chromosome; -import org.deeplearning4j.arbiter.optimize.generator.genetic.culling.CullOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationListener; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.junit.Assert; -import org.junit.Test; - -import java.util.List; - -public class PopulationModelTests extends BaseDL4JTest { - - private class TestCullOperator implements CullOperator { - - private final int culledSize; - public boolean hasCulled = false; - - public TestCullOperator(int culledSize) { - this.culledSize = culledSize; - } - - @Override - public void initializeInstance(PopulationModel populationModel) { - - } - - @Override - public void cullPopulation() { - hasCulled = true; - } - - @Override - public int getCulledSize() { - return culledSize; - } - } - - private class TestPopulationListener implements PopulationListener { - - public List population; - - @Override - public void onChanged(List population) { - this.population = population; - } - } - - @Test - public void PopulationModel_IsReadyToBreed_NotReadyToBreed_ShouldReturnFalse() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(new TestCullOperator(2)).build(); - - boolean result = sut.isReadyToBreed(); - - Assert.assertFalse(result); - } - - @Test - public void PopulationModel_IsReadyToBreed_ReadyToBreed_ShouldReturnTrue() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(new TestCullOperator(1)).build(); - - sut.getPopulation().add(null); - - boolean result = sut.isReadyToBreed(); - - Assert.assertTrue(result); - } - - @Test - public void PopulationModel_Add_MaximizeScore_ShouldOrderDescendingPopulation() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(new TestCullOperator(2)).build(); - - sut.initializeInstance(false); - - Chromosome[] chromosomes = new Chromosome[3]; - chromosomes[0] = new Chromosome(new double[0], 1.0); - chromosomes[1] = new Chromosome(new double[0], 100.0); - chromosomes[2] = new Chromosome(new double[0], 10.0); - sut.add(chromosomes[0]); - sut.add(chromosomes[1]); - sut.add(chromosomes[2]); - - Assert.assertSame(chromosomes[1], sut.getPopulation().get(0)); - Assert.assertSame(chromosomes[2], sut.getPopulation().get(1)); - Assert.assertSame(chromosomes[0], sut.getPopulation().get(2)); - } - - @Test - public void PopulationModel_Add_MinimizeScore_ShouldOrderAscendingPopulation() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(new TestCullOperator(2)).build(); - - sut.initializeInstance(true); - - Chromosome[] chromosomes = new Chromosome[3]; - chromosomes[0] = new Chromosome(new double[0], 100.0); - chromosomes[1] = new Chromosome(new double[0], 1.0); - chromosomes[2] = new Chromosome(new double[0], 10.0); - sut.add(chromosomes[0]); - sut.add(chromosomes[1]); - sut.add(chromosomes[2]); - - Assert.assertSame(chromosomes[1], sut.getPopulation().get(0)); - Assert.assertSame(chromosomes[2], sut.getPopulation().get(1)); - Assert.assertSame(chromosomes[0], sut.getPopulation().get(2)); - } - - @Test - public void PopulationModel_Add_ShouldTriggerPopulationListeners() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(new TestCullOperator(2)).build(); - - sut.initializeInstance(true); - - TestPopulationListener populationListener = new TestPopulationListener(); - sut.addListener(populationListener); - - sut.add(new Chromosome(new double[0], 100.0)); - - Assert.assertSame(sut.getPopulation(), populationListener.population); - } - - @Test - public void PopulationModel_Add_BelowPopulationSize_ShouldNotCull() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - TestCullOperator cullOperator = new TestCullOperator(3); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(cullOperator).build(); - - sut.initializeInstance(true); - - sut.add(new Chromosome(new double[0], 1.0)); - sut.add(new Chromosome(new double[0], 2.0)); - sut.add(new Chromosome(new double[0], 3.0)); - sut.add(new Chromosome(new double[0], 4.0)); - sut.add(new Chromosome(new double[0], 5.0)); - - Assert.assertFalse(cullOperator.hasCulled); - } - - @Test - public void PopulationModel_Add_AbovePopulationSize_ShouldCull() { - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - TestCullOperator cullOperator = new TestCullOperator(3); - - PopulationModel sut = new PopulationModel.Builder().populationInitializer(populationInitializer) - .populationSize(5).cullOperator(cullOperator).build(); - - sut.initializeInstance(true); - - sut.add(new Chromosome(new double[0], 1.0)); - sut.add(new Chromosome(new double[0], 2.0)); - sut.add(new Chromosome(new double[0], 3.0)); - sut.add(new Chromosome(new double[0], 4.0)); - sut.add(new Chromosome(new double[0], 5.0)); - sut.add(new Chromosome(new double[0], 6.0)); - - Assert.assertTrue(cullOperator.hasCulled); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/selection/GeneticSelectionOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/selection/GeneticSelectionOperatorTests.java deleted file mode 100644 index ddd0ae91e..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/selection/GeneticSelectionOperatorTests.java +++ /dev/null @@ -1,250 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.selection; - -import org.apache.commons.lang3.NotImplementedException; -import org.apache.commons.math3.random.RandomGenerator; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.ChromosomeFactory; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.crossover.CrossoverResult; -import org.deeplearning4j.arbiter.optimize.generator.genetic.culling.CullOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.exceptions.GeneticGenerationException; -import org.deeplearning4j.arbiter.optimize.generator.genetic.mutation.MutationOperator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.generator.genetic.selection.GeneticSelectionOperator; -import org.deeplearning4j.arbiter.optimize.genetic.TestCrossoverOperator; -import org.deeplearning4j.arbiter.optimize.genetic.TestMutationOperator; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.deeplearning4j.arbiter.optimize.genetic.TestRandomGenerator; -import org.junit.Assert; -import org.junit.Test; - -import static org.junit.Assert.assertArrayEquals; - -public class GeneticSelectionOperatorTests extends BaseDL4JTest { - - private class TestCullOperator implements CullOperator { - - private final int culledSize; - - public TestCullOperator(int culledSize) { - - this.culledSize = culledSize; - } - - @Override - public void initializeInstance(PopulationModel populationModel) { - - } - - @Override - public void cullPopulation() { - throw new NotImplementedException("Not implemented"); - } - - @Override - public int getCulledSize() { - return culledSize; - } - } - - private class GeneticSelectionOperatorTestsMutationOperator implements MutationOperator { - - private boolean mutateResult; - - public GeneticSelectionOperatorTestsMutationOperator(boolean mutateResult) { - - this.mutateResult = mutateResult; - } - - @Override - public boolean mutate(double[] genes) { - return mutateResult; - } - } - - private class GeneticSelectionOperatorTestsCrossoverOperator extends CrossoverOperator { - - private CrossoverResult result; - - public GeneticSelectionOperatorTestsCrossoverOperator(CrossoverResult result) { - - this.result = result; - } - - @Override - public CrossoverResult crossover() { - return result; - } - } - - @Test - public void GeneticSelectionOperator_PopulationNotReadyToBreed_ShouldReturnRandomGenes() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {123.0}); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - TestCullOperator cullOperator = new TestCullOperator(1000); - PopulationModel populationModel = new PopulationModel.Builder().populationInitializer(populationInitializer) - .cullOperator(cullOperator).build(); - ChromosomeFactory chromosomeFactory = new ChromosomeFactory(); - chromosomeFactory.initializeInstance(1); - GeneticSelectionOperator sut = new GeneticSelectionOperator.Builder().randomGenerator(rng).build(); - sut.initializeInstance(populationModel, chromosomeFactory); - - double[] newGenes = sut.buildNextGenes(); - - Assert.assertEquals(1, newGenes.length); - Assert.assertEquals(123.0, newGenes[0], 0.0); - } - - @Test - public void GeneticSelectionOperator_NoModificationOnFirstTry() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {123.0}); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - TestCullOperator cullOperator = new TestCullOperator(-1); - - PopulationModel populationModel = new PopulationModel.Builder().populationInitializer(populationInitializer) - .cullOperator(cullOperator).build(); - - ChromosomeFactory chromosomeFactory = new ChromosomeFactory(); - chromosomeFactory.initializeInstance(1); - - CrossoverResult[] crossoverResults = new CrossoverResult[2]; - crossoverResults[0] = new CrossoverResult(false, new double[0]); - crossoverResults[1] = new CrossoverResult(true, new double[0]); - TestCrossoverOperator crossoverOperator = new TestCrossoverOperator(crossoverResults); - - boolean[] mutationResults = new boolean[] {false, false}; - TestMutationOperator mutationOperator = new TestMutationOperator(mutationResults); - - GeneticSelectionOperator sut = new GeneticSelectionOperator.Builder().randomGenerator(rng) - .crossoverOperator(crossoverOperator).mutationOperator(mutationOperator).build(); - sut.initializeInstance(populationModel, chromosomeFactory); - - double[] newGenes = sut.buildNextGenes(); - - Assert.assertSame(crossoverResults[1].getGenes(), newGenes); - } - - @Test - public void GeneticSelectionOperator_MutationNoModificationOnFirstTry() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {123.0}); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - TestCullOperator cullOperator = new TestCullOperator(-1); - - PopulationModel populationModel = new PopulationModel.Builder().populationInitializer(populationInitializer) - .cullOperator(cullOperator).build(); - - ChromosomeFactory chromosomeFactory = new ChromosomeFactory(); - chromosomeFactory.initializeInstance(1); - - CrossoverResult[] crossoverResults = new CrossoverResult[3]; - crossoverResults[0] = new CrossoverResult(false, new double[0]); - crossoverResults[1] = new CrossoverResult(false, new double[0]); - crossoverResults[2] = new CrossoverResult(true, new double[0]); - TestCrossoverOperator crossoverOperator = new TestCrossoverOperator(crossoverResults); - - boolean[] mutationResults = new boolean[] {false, false, true}; - TestMutationOperator mutationOperator = new TestMutationOperator(mutationResults); - - GeneticSelectionOperator sut = new GeneticSelectionOperator.Builder().randomGenerator(rng) - .crossoverOperator(crossoverOperator).mutationOperator(mutationOperator).build(); - sut.initializeInstance(populationModel, chromosomeFactory); - - double[] newGenes = sut.buildNextGenes(); - - Assert.assertSame(crossoverResults[2].getGenes(), newGenes); - } - - @Test - public void GeneticSelectionOperator_ShouldNotBuildDuplicates() { - RandomGenerator rng = new TestRandomGenerator(null, new double[] {123.0}); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - TestCullOperator cullOperator = new TestCullOperator(-1); - - PopulationModel populationModel = new PopulationModel.Builder().populationInitializer(populationInitializer) - .cullOperator(cullOperator).build(); - - ChromosomeFactory chromosomeFactory = new ChromosomeFactory(); - chromosomeFactory.initializeInstance(1); - - CrossoverResult[] crossoverResults = new CrossoverResult[3]; - crossoverResults[0] = new CrossoverResult(true, new double[] {1.0}); - crossoverResults[1] = new CrossoverResult(true, new double[] {1.0}); - crossoverResults[2] = new CrossoverResult(true, new double[] {2.0}); - TestCrossoverOperator crossoverOperator = new TestCrossoverOperator(crossoverResults); - - boolean[] mutationResults = new boolean[] {false, false, false}; - TestMutationOperator mutationOperator = new TestMutationOperator(mutationResults); - - GeneticSelectionOperator sut = new GeneticSelectionOperator.Builder().randomGenerator(rng) - .crossoverOperator(crossoverOperator).mutationOperator(mutationOperator).build(); - sut.initializeInstance(populationModel, chromosomeFactory); - - double[] newGenes = sut.buildNextGenes(); - assertArrayEquals(crossoverResults[0].getGenes(), newGenes, 1e-6); - - newGenes = sut.buildNextGenes(); - assertArrayEquals(crossoverResults[2].getGenes(), newGenes, 1e-6); - } - - @Test(expected = GeneticGenerationException.class) - public void GeneticSelectionOperator_CrossoverAndMutationCantGenerateNew_ShouldThrow() { - TestCullOperator cullOperator = new TestCullOperator(-1); - - PopulationModel populationModel = new PopulationModel.Builder().cullOperator(cullOperator).build(); - - MutationOperator mutationOperator = new GeneticSelectionOperatorTestsMutationOperator(false); - CrossoverOperator crossoverOperator = - new GeneticSelectionOperatorTestsCrossoverOperator(new CrossoverResult(false, null)); - - GeneticSelectionOperator sut = new GeneticSelectionOperator.Builder().crossoverOperator(crossoverOperator) - .mutationOperator(mutationOperator).build(); - sut.initializeInstance(populationModel, null); - - sut.buildNextGenes(); - } - - @Test(expected = GeneticGenerationException.class) - public void GeneticSelectionOperator_CrossoverAndMutationAlwaysGenerateSame_ShouldThrow() { - TestCullOperator cullOperator = new TestCullOperator(-1); - - PopulationModel populationModel = new PopulationModel.Builder().cullOperator(cullOperator).build(); - - MutationOperator mutationOperator = new GeneticSelectionOperatorTestsMutationOperator(false); - CrossoverOperator crossoverOperator = new GeneticSelectionOperatorTestsCrossoverOperator( - new CrossoverResult(true, new double[] {1.0})); - - GeneticSelectionOperator sut = new GeneticSelectionOperator.Builder().crossoverOperator(crossoverOperator) - .mutationOperator(mutationOperator).build(); - sut.initializeInstance(populationModel, null); - - // This call is used to add the genes to the previousGenes collection - sut.buildNextGenes(); - - sut.buildNextGenes(); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/selection/SelectionOperatorTests.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/selection/SelectionOperatorTests.java deleted file mode 100644 index 5d8a8b361..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/genetic/selection/SelectionOperatorTests.java +++ /dev/null @@ -1,60 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.genetic.selection; - -import org.apache.commons.lang3.NotImplementedException; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.generator.genetic.ChromosomeFactory; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationInitializer; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.generator.genetic.selection.SelectionOperator; -import org.deeplearning4j.arbiter.optimize.genetic.TestPopulationInitializer; -import org.junit.Assert; -import org.junit.Test; - -public class SelectionOperatorTests extends BaseDL4JTest { - private class TestSelectionOperator extends SelectionOperator { - - public PopulationModel getPopulationModel() { - return populationModel; - } - - public ChromosomeFactory getChromosomeFactory() { - return chromosomeFactory; - } - - @Override - public double[] buildNextGenes() { - throw new NotImplementedException("Not implemented"); - } - } - - @Test - public void SelectionOperator_InitializeInstance_ShouldInitializeFields() { - TestSelectionOperator sut = new TestSelectionOperator(); - - PopulationInitializer populationInitializer = new TestPopulationInitializer(); - - PopulationModel populationModel = - new PopulationModel.Builder().populationInitializer(populationInitializer).build(); - ChromosomeFactory chromosomeFactory = new ChromosomeFactory(); - sut.initializeInstance(populationModel, chromosomeFactory); - - Assert.assertSame(populationModel, sut.getPopulationModel()); - Assert.assertSame(chromosomeFactory, sut.getChromosomeFactory()); - } -} diff --git a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/parameter/TestParameterSpaces.java b/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/parameter/TestParameterSpaces.java deleted file mode 100644 index 93d8fc0d5..000000000 --- a/arbiter/arbiter-core/src/test/java/org/deeplearning4j/arbiter/optimize/parameter/TestParameterSpaces.java +++ /dev/null @@ -1,103 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize.parameter; - -import org.apache.commons.math3.distribution.NormalDistribution; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.junit.Test; - -import static org.junit.Assert.*; - -public class TestParameterSpaces extends BaseDL4JTest { - - - @Test - public void testContinuousParameterSpace() { - - ContinuousParameterSpace cps = new ContinuousParameterSpace(0, 1); - cps.setIndices(0); - - for (int i = 0; i < 10; i++) { - double d = i / 10.0; - assertEquals(d, cps.getValue(new double[]{d}), 0.0); - } - - cps = new ContinuousParameterSpace(10, 20); - cps.setIndices(0); - - for (int i = 0; i < 10; i++) { - double d = i / 10.0; - double exp = d * 10 + 10; - assertEquals(exp, cps.getValue(new double[]{d}), 0.0); - } - - - cps = new ContinuousParameterSpace(new NormalDistribution(0, 1)); - NormalDistribution nd = new NormalDistribution(0, 1); - cps.setIndices(0); - for (int i = 0; i < 11; i++) { - double d = i / 10.0; - assertEquals(nd.inverseCumulativeProbability(d), cps.getValue(new double[]{d}), 1e-4); - } - } - - @Test - public void testDiscreteParameterSpace() { - ParameterSpace dps = new DiscreteParameterSpace<>(0, 1, 2, 3, 4); - dps.setIndices(0); - - for (int i = 0; i < 5; i++) { - double d = i / 5.0 + 0.1; //Center - double dEdgeLower = i / 5.0 + 1e-8; //Edge case: just above split threshold - double dEdgeUpper = (i + 1) / 5.0 - 1e-8; //Edge case: just below split threshold - assertEquals(i, (int) dps.getValue(new double[]{d})); - assertEquals(i, (int) dps.getValue(new double[]{dEdgeLower})); - assertEquals(i, (int) dps.getValue(new double[]{dEdgeUpper})); - } - } - - @Test - public void testIntegerParameterSpace() { - ParameterSpace ips = new IntegerParameterSpace(0, 4); - ips.setIndices(0); - - for (int i = 0; i < 5; i++) { - double d = i / 5.0 + 0.1; //Center - double dEdgeLower = i / 5.0 + 1e-8; //Edge case: just above split threshold - double dEdgeUpper = (i + 1) / 5.0 - 1e-8; //Edge case: just below split threshold - assertEquals(i, (int) ips.getValue(new double[]{d})); - assertEquals(i, (int) ips.getValue(new double[]{dEdgeLower})); - assertEquals(i, (int) ips.getValue(new double[]{dEdgeUpper})); - } - } - - @Test - public void testBooleanSpace() { - ParameterSpace bSpace = new BooleanSpace(); - bSpace.setIndices(1); //randomly setting to non zero - - assertTrue(bSpace.getValue(new double[]{0.0, 0.0})); - assertTrue(bSpace.getValue(new double[]{0.1, 0.5})); - assertFalse(bSpace.getValue(new double[]{0.2, 0.7})); - assertFalse(bSpace.getValue(new double[]{0.3, 1.0})); - } - -} diff --git a/arbiter/arbiter-core/src/test/resources/logback.xml b/arbiter/arbiter-core/src/test/resources/logback.xml deleted file mode 100644 index 410bdaae9..000000000 --- a/arbiter/arbiter-core/src/test/resources/logback.xml +++ /dev/null @@ -1,51 +0,0 @@ - - - - - - logs/application.log - - %date - [%level] - from %logger in %thread - %n%message%n%xException%n - - - - - - %logger{15} - %message%n%xException{5} - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/arbiter/arbiter-deeplearning4j/pom.xml b/arbiter/arbiter-deeplearning4j/pom.xml deleted file mode 100644 index 92e3fb7aa..000000000 --- a/arbiter/arbiter-deeplearning4j/pom.xml +++ /dev/null @@ -1,83 +0,0 @@ - - - - - arbiter - org.deeplearning4j - 1.0.0-SNAPSHOT - - 4.0.0 - - arbiter-deeplearning4j - - - - - org.deeplearning4j - arbiter-core - ${project.version} - - - - org.deeplearning4j - deeplearning4j-core - ${dl4j.version} - - - - junit - junit - ${junit.version} - test - - - - ch.qos.logback - logback-classic - ${logback.version} - test - - - - org.nd4j - jackson - ${nd4j.version} - - - - com.google.code.gson - gson - ${gson.version} - - - - org.deeplearning4j - deeplearning4j-common-tests - ${project.version} - test - - - - - - test-nd4j-native - - - test-nd4j-cuda-11.0 - - - diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/BaseNetworkSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/BaseNetworkSpace.java deleted file mode 100644 index c7d8ccb05..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/BaseNetworkSpace.java +++ /dev/null @@ -1,623 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter; - -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter; -import org.deeplearning4j.arbiter.conf.dropout.DropoutSpace; -import org.deeplearning4j.arbiter.layers.LayerSpace; -import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.optimize.serde.jackson.YamlMapper; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.deeplearning4j.nn.api.layers.LayerConstraint; -import org.deeplearning4j.nn.conf.BackpropType; -import org.deeplearning4j.nn.conf.ConvolutionMode; -import org.deeplearning4j.nn.conf.GradientNormalization; -import org.deeplearning4j.nn.conf.InputPreProcessor; -import org.deeplearning4j.nn.conf.NeuralNetConfiguration; -import org.deeplearning4j.nn.conf.distribution.Distribution; -import org.deeplearning4j.nn.conf.dropout.Dropout; -import org.deeplearning4j.nn.conf.dropout.IDropout; -import org.deeplearning4j.nn.conf.stepfunctions.StepFunction; -import org.deeplearning4j.nn.conf.weightnoise.IWeightNoise; -import org.deeplearning4j.nn.weights.WeightInit; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; -import org.nd4j.shade.jackson.core.JsonProcessingException; - -import java.util.ArrayList; -import java.util.Arrays; -import java.util.LinkedList; -import java.util.List; -import java.util.Map; - -/** - * This is an abstract ParameterSpace for both MultiLayerNetworks (MultiLayerSpace) and ComputationGraph (ComputationGraphSpace) - *

- * Functionality here should match {@link org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder} - * - * @param Type of network (MultiLayerNetwork or ComputationGraph) - * @author Alex Black - */ -@EqualsAndHashCode(callSuper = false) -@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") -@Data -public abstract class BaseNetworkSpace extends AbstractParameterSpace { - - protected Long seed; - protected ParameterSpace optimizationAlgo; - protected ParameterSpace activationFunction; - protected ParameterSpace biasInit; - protected ParameterSpace weightInit; - protected ParameterSpace dist; - protected ParameterSpace maxNumLineSearchIterations; - protected ParameterSpace miniBatch; - protected ParameterSpace minimize; - protected ParameterSpace stepFunction; - protected ParameterSpace l1; - protected ParameterSpace l2; - protected ParameterSpace l1Bias; - protected ParameterSpace l2Bias; - protected ParameterSpace updater; - protected ParameterSpace biasUpdater; - protected ParameterSpace weightNoise; - private ParameterSpace dropout; - protected ParameterSpace gradientNormalization; - protected ParameterSpace gradientNormalizationThreshold; - protected ParameterSpace convolutionMode; - - protected List layerSpaces = new ArrayList<>(); - - //NeuralNetConfiguration.ListBuilder/MultiLayerConfiguration.Builder options: - protected ParameterSpace backpropType; - protected ParameterSpace tbpttFwdLength; - protected ParameterSpace tbpttBwdLength; - - protected ParameterSpace> allParamConstraints; - protected ParameterSpace> weightConstraints; - protected ParameterSpace> biasConstraints; - - protected int numEpochs = 1; - - - static { - JsonMapper.getMapper().registerSubtypes(ComputationGraphSpace.class, MultiLayerSpace.class); - YamlMapper.getMapper().registerSubtypes(ComputationGraphSpace.class, MultiLayerSpace.class); - } - - @SuppressWarnings("unchecked") - protected BaseNetworkSpace(Builder builder) { - this.seed = builder.seed; - this.optimizationAlgo = builder.optimizationAlgo; - this.activationFunction = builder.activationFunction; - this.biasInit = builder.biasInit; - this.weightInit = builder.weightInit; - this.dist = builder.dist; - this.maxNumLineSearchIterations = builder.maxNumLineSearchIterations; - this.miniBatch = builder.miniBatch; - this.minimize = builder.minimize; - this.stepFunction = builder.stepFunction; - this.l1 = builder.l1; - this.l2 = builder.l2; - this.l1Bias = builder.l1Bias; - this.l2Bias = builder.l2Bias; - this.updater = builder.updater; - this.biasUpdater = builder.biasUpdater; - this.weightNoise = builder.weightNoise; - this.dropout = builder.dropout; - this.gradientNormalization = builder.gradientNormalization; - this.gradientNormalizationThreshold = builder.gradientNormalizationThreshold; - this.convolutionMode = builder.convolutionMode; - this.allParamConstraints = builder.allParamConstraints; - this.weightConstraints = builder.weightConstraints; - this.biasConstraints = builder.biasConstraints; - - this.backpropType = builder.backpropType; - this.tbpttFwdLength = builder.tbpttFwdLength; - this.tbpttBwdLength = builder.tbpttBwdLength; - - this.numEpochs = builder.numEpochs; - } - - protected BaseNetworkSpace() { - //Default constructor for Jackson json/yaml serialization - } - - - protected NeuralNetConfiguration.Builder randomGlobalConf(double[] values) { - //Create MultiLayerConfiguration... - NeuralNetConfiguration.Builder builder = new NeuralNetConfiguration.Builder(); - if (seed != null) - builder.seed(seed); - if (optimizationAlgo != null) - builder.optimizationAlgo(optimizationAlgo.getValue(values)); - if (activationFunction != null) - builder.activation(activationFunction.getValue(values)); - if (biasInit != null) - builder.biasInit(biasInit.getValue(values)); - if (weightInit != null) - builder.weightInit(weightInit.getValue(values)); - if (dist != null) - builder.dist(dist.getValue(values)); - if (maxNumLineSearchIterations != null) - builder.maxNumLineSearchIterations(maxNumLineSearchIterations.getValue(values)); - if (miniBatch != null) - builder.miniBatch(miniBatch.getValue(values)); - if (minimize != null) - builder.minimize(minimize.getValue(values)); - if (stepFunction != null) - builder.stepFunction(stepFunction.getValue(values)); - if (l1 != null) - builder.l1(l1.getValue(values)); - if (l2 != null) - builder.l2(l2.getValue(values)); - if (l1Bias != null) - builder.l1Bias(l1Bias.getValue(values)); - if (l2Bias != null) - builder.l2Bias(l2Bias.getValue(values)); - if (updater != null) - builder.updater(updater.getValue(values)); - if (biasUpdater != null) - builder.biasUpdater(biasUpdater.getValue(values)); - if (weightNoise != null) - builder.weightNoise(weightNoise.getValue(values)); - if (dropout != null) - builder.dropOut(dropout.getValue(values)); - if (gradientNormalization != null) - builder.gradientNormalization(gradientNormalization.getValue(values)); - if (gradientNormalizationThreshold != null) - builder.gradientNormalizationThreshold(gradientNormalizationThreshold.getValue(values)); - if (convolutionMode != null) - builder.convolutionMode(convolutionMode.getValue(values)); - if (allParamConstraints != null){ - List c = allParamConstraints.getValue(values); - if(c != null){ - builder.constrainAllParameters(c.toArray(new LayerConstraint[0])); - } - } - if (weightConstraints != null){ - List c = weightConstraints.getValue(values); - if(c != null){ - builder.constrainWeights(c.toArray(new LayerConstraint[0])); - } - } - if (biasConstraints != null){ - List c = biasConstraints.getValue(values); - if(c != null){ - builder.constrainBias(c.toArray(new LayerConstraint[0])); - } - } - - return builder; - } - - @Override - public List collectLeaves() { - Map global = getNestedSpaces(); - //Note: Results on previous line does NOT include the LayerSpaces, therefore we need to add these manually... - //This is because the type is a list, not a ParameterSpace - LinkedList stack = new LinkedList<>(); - stack.add(this); - - for (LayerConf layerConf : layerSpaces) { - LayerSpace ls = layerConf.getLayerSpace(); - stack.addAll(ls.collectLeaves()); - } - - List out = new ArrayList<>(); - while (!stack.isEmpty()) { - ParameterSpace next = stack.removeLast(); - if (next.isLeaf()) { - out.add(next); - } else { - Map m = next.getNestedSpaces(); - ParameterSpace[] arr = m.values().toArray(new ParameterSpace[0]); - for (int i = arr.length - 1; i >= 0; i--) { - stack.add(arr[i]); - } - } - } - return out; - } - - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - throw new UnsupportedOperationException("Cannot set indices for non leaf"); - } - - @Override - public String toString() { - StringBuilder sb = new StringBuilder(); - - for (Map.Entry e : getNestedSpaces().entrySet()) { - sb.append(e.getKey()).append(": ").append(e.getValue()).append("\n"); - } - - int i = 0; - for (LayerConf conf : layerSpaces) { - - sb.append("Layer config ").append(i++).append(": (Number layers:").append(conf.numLayers) - .append(", duplicate: ").append(conf.duplicateConfig).append("), ") - .append(conf.layerSpace.toString()).append("\n"); - } - - - return sb.toString(); - } - - @AllArgsConstructor - @Data - @NoArgsConstructor - public static class LayerConf { - protected LayerSpace layerSpace; - protected String layerName; - protected String[] inputs; - protected ParameterSpace numLayers; - protected boolean duplicateConfig; - protected InputPreProcessor preProcessor; - } - - @SuppressWarnings("unchecked") - protected abstract static class Builder> { - private Long seed; - private ParameterSpace optimizationAlgo; - private ParameterSpace activationFunction; - private ParameterSpace biasInit; - private ParameterSpace weightInit; - private ParameterSpace dist; - private ParameterSpace maxNumLineSearchIterations; - private ParameterSpace miniBatch; - private ParameterSpace minimize; - private ParameterSpace stepFunction; - private ParameterSpace l1; - private ParameterSpace l2; - private ParameterSpace l1Bias; - private ParameterSpace l2Bias; - private ParameterSpace updater; - private ParameterSpace biasUpdater; - private ParameterSpace weightNoise; - private ParameterSpace dropout; - private ParameterSpace gradientNormalization; - private ParameterSpace gradientNormalizationThreshold; - private ParameterSpace convolutionMode; - - private ParameterSpace> allParamConstraints; - private ParameterSpace> weightConstraints; - private ParameterSpace> biasConstraints; - - //NeuralNetConfiguration.ListBuilder/MultiLayerConfiguration.Builder options: - private ParameterSpace backpropType; - private ParameterSpace tbpttFwdLength; - private ParameterSpace tbpttBwdLength; - - //Early stopping configuration / (fixed) number of epochs: - private EarlyStoppingConfiguration earlyStoppingConfiguration; - private int numEpochs = 1; - - protected boolean validateOutputLayerConfig = true; - - public T seed(long seed) { - this.seed = seed; - return (T) this; - } - - public T optimizationAlgo(OptimizationAlgorithm optimizationAlgorithm) { - return optimizationAlgo(new FixedValue<>(optimizationAlgorithm)); - } - - public T optimizationAlgo(ParameterSpace parameterSpace) { - this.optimizationAlgo = parameterSpace; - return (T) this; - } - - - public T activation(Activation activationFunction) { - return activation(new FixedValue<>(activationFunction)); - } - - public T activation(ParameterSpace activationFunction) { - return activationFn(new ActivationParameterSpaceAdapter(activationFunction)); - } - - public T activationFn(ParameterSpace activationFunction) { - this.activationFunction = activationFunction; - return (T) this; - } - - public T biasInit(double biasInit){ - return biasInit(new FixedValue<>(biasInit)); - } - - public T biasInit(ParameterSpace biasInit){ - this.biasInit = biasInit; - return (T) this; - } - - public T weightInit(WeightInit weightInit) { - return weightInit(new FixedValue<>(weightInit)); - } - - public T weightInit(ParameterSpace weightInit) { - this.weightInit = weightInit; - return (T) this; - } - - public T dist(Distribution dist) { - return dist(new FixedValue<>(dist)); - } - - public T dist(ParameterSpace dist) { - this.dist = dist; - return (T) this; - } - - public T maxNumLineSearchIterations(int maxNumLineSearchIterations) { - return maxNumLineSearchIterations(new FixedValue<>(maxNumLineSearchIterations)); - } - - public T maxNumLineSearchIterations(ParameterSpace maxNumLineSearchIterations) { - this.maxNumLineSearchIterations = maxNumLineSearchIterations; - return (T) this; - } - - public T miniBatch(boolean minibatch) { - return miniBatch(new FixedValue<>(minibatch)); - } - - public T miniBatch(ParameterSpace miniBatch) { - this.miniBatch = miniBatch; - return (T) this; - } - - public T minimize(boolean minimize) { - return minimize(new FixedValue<>(minimize)); - } - - public T minimize(ParameterSpace minimize) { - this.minimize = minimize; - return (T) this; - } - - public T stepFunction(StepFunction stepFunction) { - return stepFunction(new FixedValue<>(stepFunction)); - } - - public T stepFunction(ParameterSpace stepFunction) { - this.stepFunction = stepFunction; - return (T) this; - } - - public T l1(double l1) { - return l1(new FixedValue<>(l1)); - } - - public T l1(ParameterSpace l1) { - this.l1 = l1; - return (T) this; - } - - public T l2(double l2) { - return l2(new FixedValue<>(l2)); - } - - public T l2(ParameterSpace l2) { - this.l2 = l2; - return (T) this; - } - public T l1Bias(double l1Bias) { - return l1Bias(new FixedValue<>(l1Bias)); - } - - public T l1Bias(ParameterSpace l1Bias) { - this.l1Bias = l1Bias; - return (T) this; - } - - public T l2Bias(double l2Bias) { - return l2Bias(new FixedValue<>(l2Bias)); - } - - public T l2Bias(ParameterSpace l2Bias) { - this.l2Bias = l2Bias; - return (T) this; - } - - public T updater(IUpdater updater){ - return updater(new FixedValue<>(updater)); - } - - public T updater(ParameterSpace updater) { - this.updater = updater; - return (T) this; - } - - public T biasUpdater(IUpdater biasUpdater){ - return biasUpdater(new FixedValue<>(biasUpdater)); - } - - public T biasUpdater(ParameterSpace biasUpdater){ - this.biasUpdater = biasUpdater; - return (T)this; - } - - public T weightNoise(IWeightNoise weightNoise){ - return weightNoise(new FixedValue<>(weightNoise)); - } - - public T weightNoise(ParameterSpace weightNoise){ - this.weightNoise = weightNoise; - return (T) this; - } - - public T dropOut(double dropout){ - return idropOut(new Dropout(dropout)); - } - - public T dropOut(ParameterSpace dropOut){ - return idropOut(new DropoutSpace(dropOut)); - } - - public T idropOut(IDropout idropOut){ - return idropOut(new FixedValue<>(idropOut)); - } - - public T idropOut(ParameterSpace idropOut){ - this.dropout = idropOut; - return (T) this; - } - - public T gradientNormalization(GradientNormalization gradientNormalization) { - return gradientNormalization(new FixedValue<>(gradientNormalization)); - } - - public T gradientNormalization(ParameterSpace gradientNormalization) { - this.gradientNormalization = gradientNormalization; - return (T) this; - } - - public T gradientNormalizationThreshold(double threshold) { - return gradientNormalizationThreshold(new FixedValue<>(threshold)); - } - - public T gradientNormalizationThreshold(ParameterSpace gradientNormalizationThreshold) { - this.gradientNormalizationThreshold = gradientNormalizationThreshold; - return (T) this; - } - - public T convolutionMode(ConvolutionMode convolutionMode) { - return convolutionMode(new FixedValue(convolutionMode)); - } - - public T convolutionMode(ParameterSpace convolutionMode) { - this.convolutionMode = convolutionMode; - return (T) this; - } - - public T backpropType(BackpropType backpropType) { - return backpropType(new FixedValue<>(backpropType)); - } - - public T backpropType(ParameterSpace backpropType) { - this.backpropType = backpropType; - return (T) this; - } - - public T tbpttFwdLength(int tbpttFwdLength) { - return tbpttFwdLength(new FixedValue<>(tbpttFwdLength)); - } - - public T tbpttFwdLength(ParameterSpace tbpttFwdLength) { - this.tbpttFwdLength = tbpttFwdLength; - return (T) this; - } - - public T tbpttBwdLength(int tbpttBwdLength) { - return tbpttBwdLength(new FixedValue<>(tbpttBwdLength)); - } - - public T tbpttBwdLength(ParameterSpace tbpttBwdLength) { - this.tbpttBwdLength = tbpttBwdLength; - return (T) this; - } - - public T constrainWeights(LayerConstraint... constraints){ - return constrainWeights(new FixedValue>(Arrays.asList(constraints))); - } - - public T constrainWeights(ParameterSpace> constraints){ - this.weightConstraints = constraints; - return (T) this; - } - - public T constrainBias(LayerConstraint... constraints){ - return constrainBias(new FixedValue>(Arrays.asList(constraints))); - } - - public T constrainBias(ParameterSpace> constraints){ - this.biasConstraints = constraints; - return (T) this; - } - - public T constrainAllParams(LayerConstraint... constraints){ - return constrainAllParams(new FixedValue>(Arrays.asList(constraints))); - } - - public T constrainAllParams(ParameterSpace> constraints){ - this.allParamConstraints = constraints; - return (T) this; - } - - public T validateOutputLayerConfig(boolean validate){ - this.validateOutputLayerConfig = validate; - return (T) this; - } - - /** - * Fixed number of training epochs. Default: 1 - * Note if both EarlyStoppingConfiguration and number of epochs is present, early stopping will be used in preference. - */ - public T numEpochs(int numEpochs) { - this.numEpochs = numEpochs; - return (T) this; - } - - - public abstract E build(); - } - - /** - * Return a json configuration of this configuration space. - * - * @return - */ - public String toJson() { - try { - return JsonMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } - - /** - * Return a yaml configuration of this configuration space. - * - * @return - */ - public String toYaml() { - try { - return YamlMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/ComputationGraphSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/ComputationGraphSpace.java deleted file mode 100644 index c02165701..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/ComputationGraphSpace.java +++ /dev/null @@ -1,316 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter; - -import lombok.*; -import org.deeplearning4j.arbiter.layers.LayerSpace; -import org.deeplearning4j.arbiter.layers.fixed.FixedLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.TaskCreatorProvider; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.optimize.serde.jackson.YamlMapper; -import org.deeplearning4j.arbiter.task.ComputationGraphTaskCreator; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; -import org.deeplearning4j.nn.conf.InputPreProcessor; -import org.deeplearning4j.nn.conf.NeuralNetConfiguration; -import org.deeplearning4j.nn.conf.WorkspaceMode; -import org.deeplearning4j.nn.conf.graph.GraphVertex; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.conf.layers.Layer; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.nd4j.shade.jackson.annotation.JsonProperty; -import org.nd4j.shade.jackson.annotation.JsonTypeInfo; -import org.nd4j.shade.jackson.annotation.JsonTypeName; - -import java.io.IOException; -import java.util.ArrayList; -import java.util.Arrays; -import java.util.List; - -/** - * ComputationGraphSpace: Defines the space of valid hyperparameters for a ComputationGraph. - * Note that this for fixed graph structures only - * - * @author Alex Black - */ -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON ser/de -@Data -@EqualsAndHashCode(callSuper = true) -@JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.PROPERTY, property = "@class") -@JsonTypeName("ComputationGraphSpace") -public class ComputationGraphSpace extends BaseNetworkSpace { - static { - TaskCreatorProvider.registerDefaultTaskCreatorClass(ComputationGraphSpace.class, ComputationGraphTaskCreator.class); - } - - @JsonProperty - protected List layerSpaces = new ArrayList<>(); - @JsonProperty - protected List vertices = new ArrayList<>(); - @JsonProperty - protected String[] networkInputs; - @JsonProperty - protected String[] networkOutputs; - @JsonProperty - protected ParameterSpace inputTypes; - @JsonProperty - protected int numParameters; - @JsonProperty - protected WorkspaceMode trainingWorkspaceMode; - @JsonProperty - protected WorkspaceMode inferenceWorkspaceMode; - @JsonProperty - protected boolean validateOutputLayerConfig = true; - - //Early stopping configuration / (fixed) number of epochs: - protected EarlyStoppingConfiguration earlyStoppingConfiguration; - - protected ComputationGraphSpace(Builder builder) { - super(builder); - - this.earlyStoppingConfiguration = builder.earlyStoppingConfiguration; - this.layerSpaces = builder.layerList; - this.vertices = builder.vertexList; - - this.networkInputs = builder.networkInputs; - this.networkOutputs = builder.networkOutputs; - this.inputTypes = builder.inputTypes; - this.trainingWorkspaceMode = builder.trainingWorkspaceMode; - this.inferenceWorkspaceMode = builder.inferenceWorkspaceMode; - this.validateOutputLayerConfig = builder.validateOutputLayerConfig; - - //Determine total number of parameters: - List list = LeafUtils.getUniqueObjects(collectLeaves()); - for (ParameterSpace ps : list) - numParameters += ps.numParameters(); - } - - - @Override - public GraphConfiguration getValue(double[] values) { - //Create ComputationGraphConfiguration... - NeuralNetConfiguration.Builder builder = randomGlobalConf(values); - - ComputationGraphConfiguration.GraphBuilder graphBuilder = builder.graphBuilder(); - graphBuilder.addInputs(this.networkInputs); - graphBuilder.setOutputs(this.networkOutputs); - if (inputTypes != null) - graphBuilder.setInputTypes(inputTypes.getValue(values)); - - //Build/add our layers and vertices: - for (LayerConf c : layerSpaces) { - org.deeplearning4j.nn.conf.layers.Layer l = c.layerSpace.getValue(values); - graphBuilder.addLayer(c.getLayerName(), l, c.getPreProcessor(), c.getInputs()); - } - for (VertexConf gv : vertices) { - graphBuilder.addVertex(gv.getVertexName(), gv.getGraphVertex(), gv.getInputs()); - } - - if (backpropType != null) - graphBuilder.backpropType(backpropType.getValue(values)); - if (tbpttFwdLength != null) - graphBuilder.tBPTTForwardLength(tbpttFwdLength.getValue(values)); - if (tbpttBwdLength != null) - graphBuilder.tBPTTBackwardLength(tbpttBwdLength.getValue(values)); - graphBuilder.validateOutputLayerConfig(validateOutputLayerConfig); - - ComputationGraphConfiguration configuration = graphBuilder.build(); - - if (trainingWorkspaceMode != null) - configuration.setTrainingWorkspaceMode(trainingWorkspaceMode); - if (inferenceWorkspaceMode != null) - configuration.setInferenceWorkspaceMode(inferenceWorkspaceMode); - - return new GraphConfiguration(configuration, earlyStoppingConfiguration, numEpochs); - } - - @Override - public int numParameters() { - return numParameters; - } - - @Override - public List collectLeaves() { - List list = super.collectLeaves(); - for (LayerConf lc : layerSpaces) { - list.addAll(lc.layerSpace.collectLeaves()); - } - if (inputTypes != null) - list.add(inputTypes); - return list; - } - - - @Override - public String toString() { - StringBuilder sb = new StringBuilder(super.toString()); - - for (LayerConf conf : layerSpaces) { - sb.append("Layer config: \"").append(conf.layerName).append("\", ").append(conf.layerSpace) - .append(", inputs: ").append(conf.inputs == null ? "[]" : Arrays.toString(conf.inputs)) - .append("\n"); - } - - for (VertexConf conf : vertices) { - sb.append("GraphVertex: \"").append(conf.vertexName).append("\", ").append(conf.graphVertex) - .append(", inputs: ").append(conf.inputs == null ? "[]" : Arrays.toString(conf.inputs)) - .append("\n"); - } - - if (earlyStoppingConfiguration != null) { - sb.append("Early stopping configuration:").append(earlyStoppingConfiguration.toString()).append("\n"); - } else { - sb.append("Training # epochs:").append(numEpochs).append("\n"); - } - - if (inputTypes != null) { - sb.append("Input types: ").append(inputTypes).append("\n"); - } - - return sb.toString(); - } - - @AllArgsConstructor - @Data - @NoArgsConstructor //For Jackson JSON - protected static class VertexConf { - protected GraphVertex graphVertex; - protected String vertexName; - protected String[] inputs; - } - - public static class Builder extends BaseNetworkSpace.Builder { - - protected List layerList = new ArrayList<>(); - protected List vertexList = new ArrayList<>(); - protected EarlyStoppingConfiguration earlyStoppingConfiguration; - protected String[] networkInputs; - protected String[] networkOutputs; - protected ParameterSpace inputTypes; - protected WorkspaceMode trainingWorkspaceMode; - protected WorkspaceMode inferenceWorkspaceMode; - - //Need: input types - //Early stopping configuration - //Graph nodes - - /** - * Early stopping configuration (optional). Note if both EarlyStoppingConfiguration and number of epochs is - * present, early stopping will be used in preference. - */ - public Builder earlyStoppingConfiguration( - EarlyStoppingConfiguration earlyStoppingConfiguration) { - this.earlyStoppingConfiguration = earlyStoppingConfiguration; - return this; - } - - public Builder layer(String layerName, LayerSpace layerSpace, String... layerInputs){ - return addLayer(layerName, layerSpace, layerInputs); - } - - public Builder layer(String layerName, LayerSpace layerSpace, InputPreProcessor preProcessor, - String... layerInputs) { - return addLayer(layerName, layerSpace, preProcessor, layerInputs); - } - - public Builder layer(String layerName, Layer layer, String... layerInputs){ - return layer(layerName, new FixedLayerSpace<>(layer), layerInputs); - } - - public Builder addLayer(String layerName, LayerSpace layerSpace, String... layerInputs) { - layerList.add(new LayerConf(layerSpace, layerName, layerInputs, new FixedValue<>(1), false, null)); - return this; - } - - public Builder addLayer(String layerName, LayerSpace layerSpace, InputPreProcessor preProcessor, - String... layerInputs){ - layerList.add(new LayerConf(layerSpace, layerName, layerInputs, new FixedValue<>(1), false, preProcessor)); - return this; - } - - public Builder addVertex(String vertexName, GraphVertex vertex, String... vertexInputs) { - vertexList.add(new VertexConf(vertex, vertexName, vertexInputs)); - return this; - } - - public Builder addInputs(String... networkInputs) { - this.networkInputs = networkInputs; - return this; - } - - public Builder setOutputs(String... networkOutputs) { - this.networkOutputs = networkOutputs; - return this; - } - - public Builder setInputTypes(InputType... inputTypes) { - return setInputTypes(new FixedValue(inputTypes)); - } - - public Builder setInputTypes(ParameterSpace inputTypes) { - this.inputTypes = inputTypes; - return this; - } - - public Builder trainingWorkspaceMode(WorkspaceMode workspaceMode){ - this.trainingWorkspaceMode = workspaceMode; - return this; - } - - public Builder inferenceWorkspaceMode(WorkspaceMode workspaceMode){ - this.inferenceWorkspaceMode = workspaceMode; - return this; - } - - @SuppressWarnings("unchecked") - public ComputationGraphSpace build() { - return new ComputationGraphSpace(this); - } - } - - - /** - * Instantiate a computation graph space from - * a raw json string - * @param json - * @return - */ - public static ComputationGraphSpace fromJson(String json) { - try { - return JsonMapper.getMapper().readValue(json, ComputationGraphSpace.class); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - /** - * Instantiate a computation graph space - * from a raw yaml string - * @param yaml - * @return - */ - public static ComputationGraphSpace fromYaml(String yaml) { - try { - return YamlMapper.getMapper().readValue(yaml, ComputationGraphSpace.class); - } catch (IOException e) { - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/DL4JConfiguration.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/DL4JConfiguration.java deleted file mode 100644 index 22bcdee37..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/DL4JConfiguration.java +++ /dev/null @@ -1,73 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter; - -import lombok.AllArgsConstructor; -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.optimize.serde.jackson.YamlMapper; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.conf.MultiLayerConfiguration; -import org.nd4j.shade.jackson.core.JsonProcessingException; -import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; - -import java.io.Serializable; - -/** - * DL4JConfiguration: simple configuration method that contains the following:
- * - MultiLayerConfiguration
- * - Early stopping settings, OR number of epochs
- * Note: if early stopping configuration is absent, a fixed number of epochs (default: 1) will be used. - * If both early stopping and number of epochs is present: early stopping will be used. - */ -@AllArgsConstructor -@Data -public class DL4JConfiguration implements Serializable { - @JsonSerialize - private MultiLayerConfiguration multiLayerConfiguration; - @JsonSerialize - private EarlyStoppingConfiguration earlyStoppingConfiguration; - @JsonSerialize - private Integer numEpochs; - - - /** - * Yaml mapping - * @return - */ - public String toYaml() { - try { - return YamlMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } - - /** - * Json mapping - * @return - */ - public String toJson() { - try { - return JsonMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } - - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/GraphConfiguration.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/GraphConfiguration.java deleted file mode 100644 index ab56d28c8..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/GraphConfiguration.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter; - - -import lombok.AllArgsConstructor; -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.optimize.serde.jackson.YamlMapper; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.nd4j.shade.jackson.core.JsonProcessingException; - -import java.io.Serializable; - -/** - * Analogous to {@link DL4JConfiguration}, GraphConfiguration includes a configuration for ComputationGraphs, as well - * as early stopping (or, optionally numEpochs) fields. - */ -@AllArgsConstructor -@Data -public class GraphConfiguration implements Serializable { - private ComputationGraphConfiguration configuration; - private EarlyStoppingConfiguration earlyStoppingConfiguration; - private Integer numEpochs; - - - - /** - * Yaml mapping - * @return - */ - public String toYaml() { - try { - return YamlMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } - - /** - * Json mapping - * @return - */ - public String toJson() { - try { - return JsonMapper.getMapper().writeValueAsString(this); - } catch (JsonProcessingException e) { - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/MultiLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/MultiLayerSpace.java deleted file mode 100644 index c9cd608dc..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/MultiLayerSpace.java +++ /dev/null @@ -1,320 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.layers.LayerSpace; -import org.deeplearning4j.arbiter.layers.fixed.FixedLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.TaskCreatorProvider; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.optimize.serde.jackson.YamlMapper; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.conf.InputPreProcessor; -import org.deeplearning4j.nn.conf.MultiLayerConfiguration; -import org.deeplearning4j.nn.conf.NeuralNetConfiguration; -import org.deeplearning4j.nn.conf.WorkspaceMode; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.conf.layers.Layer; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.io.IOException; -import java.util.ArrayList; -import java.util.List; -import java.util.Map; - -@Data -@EqualsAndHashCode(callSuper = true) -public class MultiLayerSpace extends BaseNetworkSpace { - - static { - TaskCreatorProvider.registerDefaultTaskCreatorClass(MultiLayerSpace.class, MultiLayerNetworkTaskCreator.class); - } - - @JsonProperty - protected ParameterSpace inputType; - @JsonProperty - protected ParameterSpace> inputPreProcessors; - - //Early stopping configuration / (fixed) number of epochs: - @JsonProperty - protected EarlyStoppingConfiguration earlyStoppingConfiguration; - @JsonProperty - protected int numParameters; - @JsonProperty - protected WorkspaceMode trainingWorkspaceMode; - @JsonProperty - protected WorkspaceMode inferenceWorkspaceMode; - @JsonProperty - protected boolean validateOutputLayerConfig = true; - - - protected MultiLayerSpace(Builder builder) { - super(builder); - this.inputType = builder.inputType; - this.inputPreProcessors = builder.inputPreProcessors; - - this.earlyStoppingConfiguration = builder.earlyStoppingConfiguration; - - this.layerSpaces = builder.layerSpaces; - - //Determine total number of parameters: - //Collect the leaves, and make sure they are unique. - //Note that the *object instances* must be unique - and consequently we don't want to use .equals(), as - // this would incorrectly filter out equal range parameter spaces - List allLeaves = collectLeaves(); - List list = LeafUtils.getUniqueObjects(allLeaves); - - for (ParameterSpace ps : list) { - int n = ps.numParameters(); - numParameters += ps.numParameters(); - } - - this.trainingWorkspaceMode = builder.trainingWorkspaceMode; - this.inferenceWorkspaceMode = builder.inferenceWorkspaceMode; - this.validateOutputLayerConfig = builder.validateOutputLayerConfig; - } - - protected MultiLayerSpace() { - //Default constructor for Jackson json/yaml serialization - } - - @Override - public DL4JConfiguration getValue(double[] values) { - //First: create layer configs - List layers = new ArrayList<>(); - for (LayerConf c : layerSpaces) { - int n = c.numLayers.getValue(values); - if (c.duplicateConfig) { - //Generate N identical configs - org.deeplearning4j.nn.conf.layers.Layer l = c.layerSpace.getValue(values); - for (int i = 0; i < n; i++) { - layers.add(l.clone()); - } - } else { - throw new UnsupportedOperationException("Not yet implemented"); - } - } - - //Create MultiLayerConfiguration... - NeuralNetConfiguration.Builder builder = randomGlobalConf(values); - - NeuralNetConfiguration.ListBuilder listBuilder = builder.list(); - for (int i = 0; i < layers.size(); i++) { - listBuilder.layer(i, layers.get(i)); - } - - if (backpropType != null) - listBuilder.backpropType(backpropType.getValue(values)); - if (tbpttFwdLength != null) - listBuilder.tBPTTForwardLength(tbpttFwdLength.getValue(values)); - if (tbpttBwdLength != null) - listBuilder.tBPTTBackwardLength(tbpttBwdLength.getValue(values)); - if (inputType != null) - listBuilder.setInputType(inputType.getValue(values)); - if (inputPreProcessors != null) - listBuilder.setInputPreProcessors(inputPreProcessors.getValue(values)); - listBuilder.validateOutputLayerConfig(validateOutputLayerConfig); - - MultiLayerConfiguration configuration = listBuilder.build(); - - if (trainingWorkspaceMode != null) - configuration.setTrainingWorkspaceMode(trainingWorkspaceMode); - if (inferenceWorkspaceMode != null) - configuration.setInferenceWorkspaceMode(inferenceWorkspaceMode); - - - return new DL4JConfiguration(configuration, earlyStoppingConfiguration, numEpochs); - } - - @Override - public int numParameters() { - return numParameters; - } - - @Override - public List collectLeaves() { - List list = super.collectLeaves(); - for (LayerConf lc : layerSpaces) { - list.addAll(lc.numLayers.collectLeaves()); - list.addAll(lc.layerSpace.collectLeaves()); - } - if (inputType != null) - list.addAll(inputType.collectLeaves()); - if (inputPreProcessors != null) - list.addAll(inputPreProcessors.collectLeaves()); - return list; - } - - - @Override - public String toString() { - StringBuilder sb = new StringBuilder(super.toString()); - - int i = 0; - for (LayerConf conf : layerSpaces) { - - sb.append("Layer config ").append(i++).append(": (Number layers:").append(conf.numLayers) - .append(", duplicate: ").append(conf.duplicateConfig).append("), ") - .append(conf.layerSpace.toString()).append("\n"); - } - - if (inputType != null) - sb.append("inputType: ").append(inputType).append("\n"); - if (inputPreProcessors != null) - sb.append("inputPreProcessors: ").append(inputPreProcessors).append("\n"); - - if (earlyStoppingConfiguration != null) { - sb.append("Early stopping configuration:").append(earlyStoppingConfiguration.toString()).append("\n"); - } else { - sb.append("Training # epochs:").append(numEpochs).append("\n"); - } - - return sb.toString(); - } - - public LayerSpace getLayerSpace(int layerNumber) { - return layerSpaces.get(layerNumber).getLayerSpace(); - } - - public static class Builder extends BaseNetworkSpace.Builder { - protected List layerSpaces = new ArrayList<>(); - protected ParameterSpace inputType; - protected ParameterSpace> inputPreProcessors; - protected WorkspaceMode trainingWorkspaceMode; - protected WorkspaceMode inferenceWorkspaceMode; - - //Early stopping configuration - protected EarlyStoppingConfiguration earlyStoppingConfiguration; - - - - public Builder setInputType(InputType inputType) { - return setInputType(new FixedValue<>(inputType)); - } - - public Builder setInputType(ParameterSpace inputType) { - this.inputType = inputType; - return this; - } - - public Builder layer(Layer layer){ - return layer(new FixedLayerSpace<>(layer)); - } - - public Builder layer(LayerSpace layerSpace) { - return layer(layerSpace, new FixedValue<>(1)); - } - - public Builder layer(LayerSpace layerSpace, ParameterSpace numLayersDistribution) { - return addLayer(layerSpace, numLayersDistribution); - } - - - public Builder addLayer(LayerSpace layerSpace) { - return addLayer(layerSpace, new FixedValue<>(1)); - } - - /** - * duplicateConfig not supported. Will always be true - * @param layerSpace - * @param numLayersDistribution - * @param duplicateConfig - * @return - */ - @Deprecated - public Builder addLayer(LayerSpace layerSpace, ParameterSpace numLayersDistribution, boolean duplicateConfig) { - if (!duplicateConfig) throw new IllegalArgumentException("Duplicate Config false not supported"); - String layerName = "layer_" + layerSpaces.size(); - duplicateConfig = true; //hard coded to always duplicate layers - layerSpaces.add(new LayerConf(layerSpace, layerName, null, numLayersDistribution, duplicateConfig, null)); - return this; - } - - /** - * @param layerSpace - * @param numLayersDistribution Distribution for number of layers to generate - */ - public Builder addLayer(LayerSpace layerSpace, ParameterSpace numLayersDistribution) { - String layerName = "layer_" + layerSpaces.size(); - boolean duplicateConfig = true; //hard coded to always duplicate layers - layerSpaces.add(new LayerConf(layerSpace, layerName, null, numLayersDistribution, duplicateConfig, null)); - return this; - } - - /** - * Early stopping configuration (optional). Note if both EarlyStoppingConfiguration and number of epochs is - * present, early stopping will be used in preference. - */ - public Builder earlyStoppingConfiguration( - EarlyStoppingConfiguration earlyStoppingConfiguration) { - this.earlyStoppingConfiguration = earlyStoppingConfiguration; - return this; - } - - /** - * @param inputPreProcessors Input preprocessors to set for the model - */ - public Builder setInputPreProcessors(Map inputPreProcessors) { - return setInputPreProcessors(new FixedValue<>(inputPreProcessors)); - } - - /** - * @param inputPreProcessors Input preprocessors to set for the model - */ - public Builder setInputPreProcessors(ParameterSpace> inputPreProcessors) { - this.inputPreProcessors = inputPreProcessors; - return this; - } - - public Builder trainingWorkspaceMode(WorkspaceMode workspaceMode){ - this.trainingWorkspaceMode = workspaceMode; - return this; - } - - public Builder inferenceWorkspaceMode(WorkspaceMode workspaceMode){ - this.inferenceWorkspaceMode = workspaceMode; - return this; - } - - @SuppressWarnings("unchecked") - public MultiLayerSpace build() { - return new MultiLayerSpace(this); - } - } - - public static MultiLayerSpace fromJson(String json) { - try { - return JsonMapper.getMapper().readValue(json, MultiLayerSpace.class); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - public static MultiLayerSpace fromYaml(String yaml) { - try { - return YamlMapper.getMapper().readValue(yaml, MultiLayerSpace.class); - } catch (IOException e) { - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/adapter/ActivationParameterSpaceAdapter.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/adapter/ActivationParameterSpaceAdapter.java deleted file mode 100644 index 50489fd8e..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/adapter/ActivationParameterSpaceAdapter.java +++ /dev/null @@ -1,58 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.adapter; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.adapter.ParameterSpaceAdapter; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -/** - * A simple class to adapt a {@link Activation} parameter space to a {@link IActivation} parameter space - * - * @author Alex Black - */ -@Data -@NoArgsConstructor -@EqualsAndHashCode(callSuper = false) -public class ActivationParameterSpaceAdapter extends ParameterSpaceAdapter { - - private ParameterSpace activation; - - public ActivationParameterSpaceAdapter(@JsonProperty("activation") ParameterSpace activation) { - this.activation = activation; - } - - @Override - public IActivation convertValue(Activation from) { - return from.getActivationFunction(); - } - - @Override - protected ParameterSpace underlying() { - return activation; - } - - @Override - protected String underlyingName() { - return "activation"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/adapter/LossFunctionParameterSpaceAdapter.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/adapter/LossFunctionParameterSpaceAdapter.java deleted file mode 100644 index d12992a89..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/adapter/LossFunctionParameterSpaceAdapter.java +++ /dev/null @@ -1,60 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.adapter; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.adapter.ParameterSpaceAdapter; -import org.nd4j.linalg.lossfunctions.ILossFunction; -import org.nd4j.linalg.lossfunctions.LossFunctions; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -/** - * A simple class to adapt a {@link LossFunctions.LossFunction} parameter space to a {@link ILossFunction} parameter space - * - * @author Alex Black - */ -@Data -@NoArgsConstructor -@EqualsAndHashCode(callSuper = false) -public class LossFunctionParameterSpaceAdapter - extends ParameterSpaceAdapter { - - private ParameterSpace lossFunction; - - public LossFunctionParameterSpaceAdapter( - @JsonProperty("lossFunction") ParameterSpace lossFunction) { - this.lossFunction = lossFunction; - } - - @Override - protected ILossFunction convertValue(LossFunctions.LossFunction from) { - return from.getILossFunction(); - } - - @Override - protected ParameterSpace underlying() { - return lossFunction; - } - - @Override - protected String underlyingName() { - return "lossFunction"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/dropout/DropoutSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/dropout/DropoutSpace.java deleted file mode 100644 index 76443109e..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/dropout/DropoutSpace.java +++ /dev/null @@ -1,63 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.dropout; - -import lombok.AllArgsConstructor; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.nn.conf.dropout.Dropout; -import org.deeplearning4j.nn.conf.dropout.IDropout; - -import java.util.List; - -@AllArgsConstructor -@NoArgsConstructor -public class DropoutSpace extends AbstractParameterSpace { - - private ParameterSpace dropout; - - @Override - public Dropout getValue(double[] parameterValues) { - double p = dropout.getValue(parameterValues); - if(p == 0){ - //Special case: 0 dropout = "disabled" in DL4J. But Dropout class doesn't support this - return null; - } - return new Dropout(p); - } - - @Override - public int numParameters() { - return dropout.numParameters(); - } - - @Override - public List collectLeaves() { - return dropout.collectLeaves(); - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - dropout.setIndices(indices); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdaGradSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdaGradSpace.java deleted file mode 100644 index 3f33d1f03..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdaGradSpace.java +++ /dev/null @@ -1,60 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.AdaGrad; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class AdaGradSpace extends BaseUpdaterSpace { - - private ParameterSpace learningRate; - private ParameterSpace lrSchedule; - - public AdaGradSpace(ParameterSpace learningRate) { - this(learningRate, null); - } - - public static AdaGradSpace withLR(ParameterSpace lr){ - return new AdaGradSpace(lr, null); - } - - public static AdaGradSpace withLRSchedule(ParameterSpace lrSchedule){ - return new AdaGradSpace(null, lrSchedule); - } - - protected AdaGradSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("lrSchedule") ParameterSpace lrSchedule){ - this.learningRate = learningRate; - this.lrSchedule = lrSchedule; - } - - @Override - public IUpdater getValue(double[] parameterValues) { - if(lrSchedule != null){ - return new AdaGrad(lrSchedule.getValue(parameterValues)); - } else { - return new AdaGrad(learningRate.getValue(parameterValues)); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdaMaxSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdaMaxSpace.java deleted file mode 100644 index 7d5e9fab1..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdaMaxSpace.java +++ /dev/null @@ -1,83 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.AdaMax; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class AdaMaxSpace extends BaseUpdaterSpace { - - private ParameterSpace learningRate; - private ParameterSpace learningRateSchedule; - private ParameterSpace beta1; - private ParameterSpace beta2; - private ParameterSpace epsilon; - - public AdaMaxSpace(ParameterSpace learningRate) { - this(learningRate, null, null, null); - } - - public AdaMaxSpace(ParameterSpace learningRate, ParameterSpace beta1, - ParameterSpace beta2, ParameterSpace epsilon) { - this(learningRate, null, beta1, beta2, epsilon); - } - - public AdaMaxSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("learningRateSchedule") ParameterSpace learningRateSchedule, - @JsonProperty("beta1") ParameterSpace beta1, - @JsonProperty("beta2") ParameterSpace beta2, - @JsonProperty("epsilon") ParameterSpace epsilon){ - this.learningRate = learningRate; - this.learningRateSchedule = learningRateSchedule; - this.beta1 = beta1; - this.beta2 = beta2; - this.epsilon = epsilon; - } - - public static AdaMaxSpace withLR(ParameterSpace lr){ - return new AdaMaxSpace(lr, null, null, null, null); - } - - public static AdaMaxSpace withLRSchedule(ParameterSpace lrSchedule){ - return new AdaMaxSpace(null, lrSchedule, null, null, null); - } - - @Override - public IUpdater getValue(double[] parameterValues) { - double lr = learningRate == null ? AdaMax.DEFAULT_ADAMAX_LEARNING_RATE : learningRate.getValue(parameterValues); - ISchedule lrS = learningRateSchedule == null ? null : learningRateSchedule.getValue(parameterValues); - double b1 = beta1 == null ? AdaMax.DEFAULT_ADAMAX_LEARNING_RATE : beta1.getValue(parameterValues); - double b2 = beta2 == null ? AdaMax.DEFAULT_ADAMAX_LEARNING_RATE : beta2.getValue(parameterValues); - double eps = epsilon == null ? AdaMax.DEFAULT_ADAMAX_LEARNING_RATE : epsilon.getValue(parameterValues); - if(lrS == null){ - return new AdaMax(lr, b1, b2, eps); - } else { - AdaMax a = new AdaMax(lrS); - a.setBeta1(b1); - a.setBeta2(b2); - a.setEpsilon(eps); - return a; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdamSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdamSpace.java deleted file mode 100644 index 622010c57..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/AdamSpace.java +++ /dev/null @@ -1,83 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.Adam; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class AdamSpace extends BaseUpdaterSpace { - - private ParameterSpace learningRate; - private ParameterSpace learningRateSchedule; - private ParameterSpace beta1; - private ParameterSpace beta2; - private ParameterSpace epsilon; - - public AdamSpace(ParameterSpace learningRate) { - this(learningRate, null, null, null); - } - - public AdamSpace(ParameterSpace learningRate, ParameterSpace beta1, - ParameterSpace beta2, ParameterSpace epsilon) { - this(learningRate, null, beta1, beta2, epsilon); - } - - public static AdamSpace withLR(ParameterSpace lr){ - return new AdamSpace(lr, null, null, null, null); - } - - public static AdamSpace withLRSchedule(ParameterSpace lrSchedule){ - return new AdamSpace(null, lrSchedule, null, null, null); - } - - protected AdamSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("learningRateSchedule") ParameterSpace learningRateSchedule, - @JsonProperty("beta1") ParameterSpace beta1, - @JsonProperty("beta2") ParameterSpace beta2, - @JsonProperty("epsilon") ParameterSpace epsilon){ - this.learningRate = learningRate; - this.learningRateSchedule = learningRateSchedule; - this.beta1 = beta1; - this.beta2 = beta2; - this.epsilon = epsilon; - } - - @Override - public IUpdater getValue(double[] parameterValues) { - double lr = learningRate == null ? Adam.DEFAULT_ADAM_LEARNING_RATE : learningRate.getValue(parameterValues); - ISchedule lrS = learningRateSchedule == null ? null : learningRateSchedule.getValue(parameterValues); - double b1 = beta1 == null ? Adam.DEFAULT_ADAM_LEARNING_RATE : beta1.getValue(parameterValues); - double b2 = beta2 == null ? Adam.DEFAULT_ADAM_LEARNING_RATE : beta2.getValue(parameterValues); - double eps = epsilon == null ? Adam.DEFAULT_ADAM_LEARNING_RATE : epsilon.getValue(parameterValues); - if(lrS == null){ - return new Adam(lr, b1, b2, eps); - } else { - Adam a = new Adam(lrS); - a.setBeta1(b1); - a.setBeta2(b2); - a.setEpsilon(eps); - return a; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/BaseUpdaterSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/BaseUpdaterSpace.java deleted file mode 100644 index 90ea95c24..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/BaseUpdaterSpace.java +++ /dev/null @@ -1,68 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.IUpdater; - -import java.util.ArrayList; -import java.util.Arrays; -import java.util.List; -import java.util.Map; - -@Data -public abstract class BaseUpdaterSpace extends AbstractParameterSpace { - - @Override - public int numParameters() { - int count = 0; - for(ParameterSpace p : collectLeaves()){ - count += p.numParameters(); - } - return count; - } - - @Override - public List collectLeaves() { - Map nested = getNestedSpaces(); - List out = new ArrayList<>(); - for(ParameterSpace p : nested.values()){ - out.addAll(p.collectLeaves()); - } - return out; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices){ - int soFar = 0; - for(ParameterSpace p : collectLeaves()){ - int numParams = p.numParameters(); - if(numParams <= 0){ - continue; - } - int[] subset = Arrays.copyOfRange(indices, soFar, soFar + numParams); - p.setIndices(subset); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/NadamSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/NadamSpace.java deleted file mode 100644 index fe3dcf755..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/NadamSpace.java +++ /dev/null @@ -1,83 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.Nadam; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class NadamSpace extends BaseUpdaterSpace { - - private ParameterSpace learningRate; - private ParameterSpace learningRateSchedule; - private ParameterSpace beta1; - private ParameterSpace beta2; - private ParameterSpace epsilon; - - public NadamSpace(ParameterSpace learningRate) { - this(learningRate, null, null, null); - } - - public NadamSpace(ParameterSpace learningRate, ParameterSpace beta1, - ParameterSpace beta2, ParameterSpace epsilon) { - this(learningRate, null, beta1, beta2, epsilon); - } - - public NadamSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("learningRateSchedule") ParameterSpace learningRateSchedule, - @JsonProperty("beta1") ParameterSpace beta1, - @JsonProperty("beta2") ParameterSpace beta2, - @JsonProperty("epsilon") ParameterSpace epsilon){ - this.learningRate = learningRate; - this.learningRateSchedule = learningRateSchedule; - this.beta1 = beta1; - this.beta2 = beta2; - this.epsilon = epsilon; - } - - public static NadamSpace withLR(ParameterSpace lr){ - return new NadamSpace(lr, null, null, null, null); - } - - public static NadamSpace withLRSchedule(ParameterSpace lrSchedule){ - return new NadamSpace(null, lrSchedule, null, null, null); - } - - @Override - public IUpdater getValue(double[] parameterValues) { - double lr = learningRate == null ? Nadam.DEFAULT_NADAM_LEARNING_RATE : learningRate.getValue(parameterValues); - ISchedule lrS = learningRateSchedule == null ? null : learningRateSchedule.getValue(parameterValues); - double b1 = beta1 == null ? Nadam.DEFAULT_NADAM_LEARNING_RATE : beta1.getValue(parameterValues); - double b2 = beta2 == null ? Nadam.DEFAULT_NADAM_LEARNING_RATE : beta2.getValue(parameterValues); - double eps = epsilon == null ? Nadam.DEFAULT_NADAM_LEARNING_RATE : epsilon.getValue(parameterValues); - if(lrS == null){ - return new Nadam(lr, b1, b2, eps); - } else { - Nadam a = new Nadam(lrS); - a.setBeta1(b1); - a.setBeta2(b2); - a.setEpsilon(eps); - return a; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/NesterovsSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/NesterovsSpace.java deleted file mode 100644 index 8049e9782..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/NesterovsSpace.java +++ /dev/null @@ -1,100 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.learning.config.Nesterovs; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class NesterovsSpace extends BaseUpdaterSpace { - - protected ParameterSpace learningRate; - protected ParameterSpace learningRateSchedule; - protected ParameterSpace momentum; - protected ParameterSpace momentumSchedule; - - public NesterovsSpace(ParameterSpace learningRate) { - this(learningRate, null); - } - - public NesterovsSpace(ParameterSpace learningRate, ParameterSpace momentum) { - this(learningRate, null, momentum, null); - } - - public NesterovsSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("learningRateSchedule") ParameterSpace learningRateSchedule, - @JsonProperty("momentum") ParameterSpace momentum, - @JsonProperty("momentumSchedule") ParameterSpace momentumSchedule) { - this.learningRate = learningRate; - this.learningRateSchedule = learningRateSchedule; - this.momentum = momentum; - this.momentumSchedule = momentumSchedule; - } - - public static NesterovsSpace withLR(ParameterSpace lr){ - return new NesterovsSpace(lr, null, null, null); - } - - public static NesterovsSpace withLR(ParameterSpace lr, double momentum){ - return new NesterovsSpace(lr, null, new FixedValue<>(momentum), null); - } - - public static NesterovsSpace withLR(ParameterSpace lr, ParameterSpace momentum){ - return new NesterovsSpace(lr, null, momentum, null); - } - - public static NesterovsSpace withLRSchedule(ParameterSpace lrSchedule){ - return new NesterovsSpace(null, lrSchedule, null, null); - } - - public static NesterovsSpace withLRSchedule(ParameterSpace lrSchedule, double momentum){ - return new NesterovsSpace(null, lrSchedule, new FixedValue<>(momentum), null); - } - - public static NesterovsSpace withLRSchedule(ParameterSpace lrSchedule, ParameterSpace momentum){ - return new NesterovsSpace(null, lrSchedule, momentum, null); - } - - - @Override - public IUpdater getValue(double[] parameterValues) { - double lr = learningRate == null ? Nesterovs.DEFAULT_NESTEROV_LEARNING_RATE : learningRate.getValue(parameterValues); - ISchedule lrS = learningRateSchedule == null ? null : learningRateSchedule.getValue(parameterValues); - double m = momentum == null ? Nesterovs.DEFAULT_NESTEROV_MOMENTUM : momentum.getValue(parameterValues); - ISchedule mS = momentumSchedule == null ? null : momentumSchedule.getValue(parameterValues); - if(lrS == null){ - if(momentumSchedule == null){ - return new Nesterovs(lr, m); - } else { - return new Nesterovs(lr, mS); - } - } else { - if(momentumSchedule == null){ - return new Nesterovs(lrS, m); - } else { - return new Nesterovs(lrS, mS); - } - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/RmsPropSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/RmsPropSpace.java deleted file mode 100644 index f7364a913..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/RmsPropSpace.java +++ /dev/null @@ -1,54 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.learning.config.RmsProp; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class RmsPropSpace extends BaseUpdaterSpace { - - protected ParameterSpace learningRate; - protected ParameterSpace learningRateSchedule; - - public RmsPropSpace(ParameterSpace learningRate) { - this(learningRate, null); - } - - public RmsPropSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("learningRateSchedule") ParameterSpace learningRateSchedule){ - this.learningRate = learningRate; - this.learningRateSchedule = learningRateSchedule; - } - - @Override - public IUpdater getValue(double[] parameterValues) { - double lr = learningRate == null ? RmsProp.DEFAULT_RMSPROP_LEARNING_RATE : learningRate.getValue(parameterValues); - ISchedule lrS = learningRateSchedule == null ? null : learningRateSchedule.getValue(parameterValues); - if(lrS == null){ - return new RmsProp(lr); - } else { - return new RmsProp(lrS); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/SgdSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/SgdSpace.java deleted file mode 100644 index e34ce7d47..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/SgdSpace.java +++ /dev/null @@ -1,54 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.linalg.learning.config.Sgd; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -@Data -@EqualsAndHashCode(callSuper = false) -public class SgdSpace extends BaseUpdaterSpace { - - protected ParameterSpace learningRate; - protected ParameterSpace learningRateSchedule; - - public SgdSpace(ParameterSpace learningRate) { - this(learningRate, null); - } - - public SgdSpace(@JsonProperty("learningRate") ParameterSpace learningRate, - @JsonProperty("learningRateSchedule") ParameterSpace learningRateSchedule){ - this.learningRate = learningRate; - this.learningRateSchedule = learningRateSchedule; - } - - @Override - public IUpdater getValue(double[] parameterValues) { - double lr = learningRate == null ? Sgd.DEFAULT_SGD_LR : learningRate.getValue(parameterValues); - ISchedule lrS = learningRateSchedule == null ? null : learningRateSchedule.getValue(parameterValues); - if(lrS == null){ - return new Sgd(lr); - } else { - return new Sgd(lrS); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/ExponentialScheduleSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/ExponentialScheduleSpace.java deleted file mode 100644 index e74dc7560..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/ExponentialScheduleSpace.java +++ /dev/null @@ -1,92 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater.schedule; - -import lombok.Data; -import lombok.NoArgsConstructor; -import lombok.NonNull; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.linalg.schedule.ExponentialSchedule; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.linalg.schedule.ScheduleType; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.*; - -@NoArgsConstructor //JSON -@Data -public class ExponentialScheduleSpace implements ParameterSpace { - - private ScheduleType scheduleType; - private ParameterSpace initialValue; - private ParameterSpace gamma; - - public ExponentialScheduleSpace(@NonNull ScheduleType scheduleType, - @NonNull ParameterSpace initialValue, double gamma){ - this(scheduleType, initialValue, new FixedValue<>(gamma)); - } - - public ExponentialScheduleSpace(@NonNull @JsonProperty("scheduleType") ScheduleType scheduleType, - @NonNull @JsonProperty("initialValue") ParameterSpace initialValue, - @NonNull @JsonProperty("gamma") ParameterSpace gamma){ - this.scheduleType = scheduleType; - this.initialValue = initialValue; - this.gamma = gamma; - } - - @Override - public ISchedule getValue(double[] parameterValues) { - return new ExponentialSchedule(scheduleType, initialValue.getValue(parameterValues), gamma.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return initialValue.numParameters() + gamma.numParameters(); - } - - @Override - public List collectLeaves() { - return Arrays.asList(initialValue, gamma); - } - - @Override - public Map getNestedSpaces() { - Map out = new LinkedHashMap<>(); - out.put("initialValue", initialValue); - out.put("gamma", gamma); - return out; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - if(initialValue.numParameters() > 0){ - int[] sub = Arrays.copyOfRange(indices, 0, initialValue.numParameters()); - initialValue.setIndices(sub); - } - if(gamma.numParameters() > 0){ - int inp = initialValue.numParameters(); - int[] sub = Arrays.copyOfRange(indices, inp, inp + gamma.numParameters()); - gamma.setIndices(sub); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/InverseScheduleSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/InverseScheduleSpace.java deleted file mode 100644 index 40808318b..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/InverseScheduleSpace.java +++ /dev/null @@ -1,105 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater.schedule; - -import lombok.Data; -import lombok.NoArgsConstructor; -import lombok.NonNull; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.linalg.schedule.InverseSchedule; -import org.nd4j.linalg.schedule.ScheduleType; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.Arrays; -import java.util.LinkedHashMap; -import java.util.List; -import java.util.Map; - -@NoArgsConstructor //JSON -@Data -public class InverseScheduleSpace implements ParameterSpace { - - private ScheduleType scheduleType; - private ParameterSpace initialValue; - private ParameterSpace gamma; - private ParameterSpace power; - - public InverseScheduleSpace(@NonNull ScheduleType scheduleType, @NonNull ParameterSpace initialValue, - double gamma, double power){ - this(scheduleType, initialValue, new FixedValue<>(gamma), new FixedValue<>(power)); - } - - public InverseScheduleSpace(@NonNull @JsonProperty("scheduleType") ScheduleType scheduleType, - @NonNull @JsonProperty("initialValue") ParameterSpace initialValue, - @NonNull @JsonProperty("gamma") ParameterSpace gamma, - @NonNull @JsonProperty("power") ParameterSpace power){ - this.scheduleType = scheduleType; - this.initialValue = initialValue; - this.gamma = gamma; - this.power = power; - } - - @Override - public ISchedule getValue(double[] parameterValues) { - return new InverseSchedule(scheduleType, initialValue.getValue(parameterValues), - gamma.getValue(parameterValues), power.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return initialValue.numParameters() + gamma.numParameters() + power.numParameters(); - } - - @Override - public List collectLeaves() { - return Arrays.asList(initialValue, gamma, power); - } - - @Override - public Map getNestedSpaces() { - Map out = new LinkedHashMap<>(); - out.put("initialValue", initialValue); - out.put("gamma", gamma); - out.put("power", power); - return out; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - if(initialValue.numParameters() > 0){ - int[] sub = Arrays.copyOfRange(indices, 0, initialValue.numParameters()); - initialValue.setIndices(sub); - } - if(gamma.numParameters() > 0){ - int inp = initialValue.numParameters(); - int[] sub = Arrays.copyOfRange(indices, inp, inp + gamma.numParameters()); - gamma.setIndices(sub); - } - if(power.numParameters() > 0){ - int np = initialValue.numParameters() + gamma.numParameters(); - int[] sub = Arrays.copyOfRange(indices, np, np + power.numParameters()); - power.setIndices(sub); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/PolyScheduleSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/PolyScheduleSpace.java deleted file mode 100644 index f902bdb5d..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/PolyScheduleSpace.java +++ /dev/null @@ -1,105 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater.schedule; - -import lombok.Data; -import lombok.NoArgsConstructor; -import lombok.NonNull; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.linalg.schedule.PolySchedule; -import org.nd4j.linalg.schedule.ScheduleType; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.Arrays; -import java.util.LinkedHashMap; -import java.util.List; -import java.util.Map; - -@NoArgsConstructor //JSON -@Data -public class PolyScheduleSpace implements ParameterSpace { - - private ScheduleType scheduleType; - private ParameterSpace initialValue; - private ParameterSpace power; - private ParameterSpace maxIter; - - public PolyScheduleSpace(@NonNull ScheduleType scheduleType, @NonNull ParameterSpace initialValue, - double power, int maxIter){ - this(scheduleType, initialValue, new FixedValue<>(power), new FixedValue<>(maxIter)); - } - - public PolyScheduleSpace(@NonNull @JsonProperty("scheduleType") ScheduleType scheduleType, - @NonNull @JsonProperty("initialValue") ParameterSpace initialValue, - @NonNull @JsonProperty("power") ParameterSpace power, - @NonNull @JsonProperty("maxIter") ParameterSpace maxIter){ - this.scheduleType = scheduleType; - this.initialValue = initialValue; - this.power = power; - this.maxIter = maxIter; - } - - @Override - public ISchedule getValue(double[] parameterValues) { - return new PolySchedule(scheduleType, initialValue.getValue(parameterValues), - power.getValue(parameterValues), maxIter.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return initialValue.numParameters() + power.numParameters() + maxIter.numParameters(); - } - - @Override - public List collectLeaves() { - return Arrays.asList(initialValue, power, maxIter); - } - - @Override - public Map getNestedSpaces() { - Map out = new LinkedHashMap<>(); - out.put("initialValue", initialValue); - out.put("power", power); - out.put("maxIter", maxIter); - return out; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - if(initialValue.numParameters() > 0){ - int[] sub = Arrays.copyOfRange(indices, 0, initialValue.numParameters()); - initialValue.setIndices(sub); - } - if(power.numParameters() > 0){ - int np = initialValue.numParameters(); - int[] sub = Arrays.copyOfRange(indices, np, np + power.numParameters()); - power.setIndices(sub); - } - if(maxIter.numParameters() > 0){ - int np = initialValue.numParameters() + power.numParameters(); - int[] sub = Arrays.copyOfRange(indices, np, np + maxIter.numParameters()); - maxIter.setIndices(sub); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/SigmoidScheduleSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/SigmoidScheduleSpace.java deleted file mode 100644 index 336f5f32b..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/SigmoidScheduleSpace.java +++ /dev/null @@ -1,105 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater.schedule; - -import lombok.Data; -import lombok.NoArgsConstructor; -import lombok.NonNull; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.linalg.schedule.ScheduleType; -import org.nd4j.linalg.schedule.SigmoidSchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.Arrays; -import java.util.LinkedHashMap; -import java.util.List; -import java.util.Map; - -@NoArgsConstructor //JSON -@Data -public class SigmoidScheduleSpace implements ParameterSpace { - - private ScheduleType scheduleType; - private ParameterSpace initialValue; - private ParameterSpace gamma; - private ParameterSpace stepSize; - - public SigmoidScheduleSpace(@NonNull ScheduleType scheduleType, @NonNull ParameterSpace initialValue, - double gamma, int stepSize){ - this(scheduleType, initialValue, new FixedValue<>(gamma), new FixedValue<>(stepSize)); - } - - public SigmoidScheduleSpace(@NonNull @JsonProperty("scheduleType") ScheduleType scheduleType, - @NonNull @JsonProperty("initialValue") ParameterSpace initialValue, - @NonNull @JsonProperty("gamma") ParameterSpace gamma, - @NonNull @JsonProperty("stepSize") ParameterSpace stepSize){ - this.scheduleType = scheduleType; - this.initialValue = initialValue; - this.gamma = gamma; - this.stepSize = stepSize; - } - - @Override - public ISchedule getValue(double[] parameterValues) { - return new SigmoidSchedule(scheduleType, initialValue.getValue(parameterValues), - gamma.getValue(parameterValues), stepSize.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return initialValue.numParameters() + gamma.numParameters() + stepSize.numParameters(); - } - - @Override - public List collectLeaves() { - return Arrays.asList(initialValue, gamma, stepSize); - } - - @Override - public Map getNestedSpaces() { - Map out = new LinkedHashMap<>(); - out.put("initialValue", initialValue); - out.put("gamma", gamma); - out.put("stepSize", stepSize); - return out; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - if(initialValue.numParameters() > 0){ - int[] sub = Arrays.copyOfRange(indices, 0, initialValue.numParameters()); - initialValue.setIndices(sub); - } - if(gamma.numParameters() > 0){ - int np = initialValue.numParameters(); - int[] sub = Arrays.copyOfRange(indices, np, np + gamma.numParameters()); - gamma.setIndices(sub); - } - if(stepSize.numParameters() > 0){ - int np = initialValue.numParameters() + gamma.numParameters(); - int[] sub = Arrays.copyOfRange(indices, np, np + stepSize.numParameters()); - stepSize.setIndices(sub); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/StepScheduleSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/StepScheduleSpace.java deleted file mode 100644 index 104810d9b..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/conf/updater/schedule/StepScheduleSpace.java +++ /dev/null @@ -1,105 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.conf.updater.schedule; - -import lombok.Data; -import lombok.NoArgsConstructor; -import lombok.NonNull; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.nd4j.linalg.schedule.ISchedule; -import org.nd4j.linalg.schedule.ScheduleType; -import org.nd4j.linalg.schedule.StepSchedule; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.util.Arrays; -import java.util.LinkedHashMap; -import java.util.List; -import java.util.Map; - -@NoArgsConstructor //JSON -@Data -public class StepScheduleSpace implements ParameterSpace { - - private ScheduleType scheduleType; - private ParameterSpace initialValue; - private ParameterSpace decayRate; - private ParameterSpace step; - - public StepScheduleSpace(@NonNull ScheduleType scheduleType, @NonNull ParameterSpace initialValue, - double decayRate, double step){ - this(scheduleType, initialValue, new FixedValue<>(decayRate), new FixedValue<>(step)); - } - - public StepScheduleSpace(@NonNull @JsonProperty("scheduleType") ScheduleType scheduleType, - @NonNull @JsonProperty("initialValue") ParameterSpace initialValue, - @NonNull @JsonProperty("decayRate") ParameterSpace decayRate, - @NonNull @JsonProperty("step") ParameterSpace step){ - this.scheduleType = scheduleType; - this.initialValue = initialValue; - this.decayRate = decayRate; - this.step = step; - } - - @Override - public ISchedule getValue(double[] parameterValues) { - return new StepSchedule(scheduleType, initialValue.getValue(parameterValues), - decayRate.getValue(parameterValues), step.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return initialValue.numParameters() + decayRate.numParameters() + step.numParameters(); - } - - @Override - public List collectLeaves() { - return Arrays.asList(initialValue, decayRate, step); - } - - @Override - public Map getNestedSpaces() { - Map out = new LinkedHashMap<>(); - out.put("initialValue", initialValue); - out.put("decayRate", decayRate); - out.put("step", step); - return out; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - if(initialValue.numParameters() > 0){ - int[] sub = Arrays.copyOfRange(indices, 0, initialValue.numParameters()); - initialValue.setIndices(sub); - } - if(decayRate.numParameters() > 0){ - int inp = initialValue.numParameters(); - int[] sub = Arrays.copyOfRange(indices, inp, inp + decayRate.numParameters()); - decayRate.setIndices(sub); - } - if(step.numParameters() > 0){ - int np = initialValue.numParameters() + decayRate.numParameters(); - int[] sub = Arrays.copyOfRange(indices, np, np + step.numParameters()); - step.setIndices(sub); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/data/DataSetIteratorFactoryProvider.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/data/DataSetIteratorFactoryProvider.java deleted file mode 100644 index e5443c0d3..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/data/DataSetIteratorFactoryProvider.java +++ /dev/null @@ -1,85 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.data; - -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; - -import java.util.Map; - -/** - * This is a {@link DataProvider} for - * an {@link DataSetIteratorFactory} which - * based on a key of {@link DataSetIteratorFactoryProvider#FACTORY_KEY} - * will create {@link org.nd4j.linalg.dataset.api.iterator.DataSetIterator} - * for use with arbiter. - * - * This {@link DataProvider} is mainly meant for use for command line driven - * applications. - * - * @author Adam Gibson - */ -public class DataSetIteratorFactoryProvider implements DataProvider { - - public final static String FACTORY_KEY = "org.deeplearning4j.arbiter.data.data.factory"; - - /** - * Get training data given some parameters for the data. - * Data parameters map is used to specify things like batch - * size data preprocessing - * - * @param dataParameters Parameters for data. May be null or empty for default data - * @return training data - */ - @Override - public DataSetIteratorFactory trainData(Map dataParameters) { - return create(dataParameters); - } - - /** - * Get training data given some parameters for the data. Data parameters map - * is used to specify things like batch - * size data preprocessing - * - * @param dataParameters Parameters for data. May be null or empty for default data - * @return training data - */ - @Override - public DataSetIteratorFactory testData(Map dataParameters) { - return create(dataParameters); - } - - @Override - public Class getDataType() { - return DataSetIteratorFactory.class; - } - - private DataSetIteratorFactory create(Map dataParameters) { - if (!dataParameters.containsKey(FACTORY_KEY)) - throw new IllegalArgumentException( - "No data set iterator factory class found. Please specify a class name with key " - + FACTORY_KEY); - String value = dataParameters.get(FACTORY_KEY).toString(); - try { - Class clazz = - (Class) Class.forName(value); - return clazz.newInstance(); - } catch (Exception e) { - throw new RuntimeException("Could not create DataSetIteratorFactory instance - missing no-arg constructor?", e); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/data/MnistDataProvider.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/data/MnistDataProvider.java deleted file mode 100644 index 2bce43e06..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/data/MnistDataProvider.java +++ /dev/null @@ -1,80 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.data; - -import lombok.Data; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.io.IOException; -import java.util.Map; -import java.util.Random; - -/** - * - * MnistDataProvider - a DataProvider for the MNIST data set, with configurable number of epochs, batch size - * and RNG seed - * - * @author Alex Black - */ -@Data -@NoArgsConstructor -public class MnistDataProvider implements DataProvider{ - - private int numEpochs; - private int batchSize; - private int rngSeed; - - public MnistDataProvider(int numEpochs, int batchSize){ - this(numEpochs, batchSize, new Random().nextInt()); - } - - public MnistDataProvider(@JsonProperty("numEpochs") int numEpochs, @JsonProperty("batchSize") int batchSize, - @JsonProperty("rngSeed") int rngSeed) { - this.numEpochs = numEpochs; - this.batchSize = batchSize; - this.rngSeed = rngSeed; - } - - - @Override - public Object trainData(Map dataParameters) { - try { - return new MultipleEpochsIterator(numEpochs, new MnistDataSetIterator(batchSize, true, rngSeed)); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - @Override - public Object testData(Map dataParameters) { - try { - return new MnistDataSetIterator(batchSize, false, 12345); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/AlphaDropoutSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/AlphaDropoutSpace.java deleted file mode 100644 index f4e3801f5..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/AlphaDropoutSpace.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.dropout; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.dropout.AlphaDropout; -import org.deeplearning4j.nn.conf.dropout.IDropout; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -@AllArgsConstructor -public class AlphaDropoutSpace implements ParameterSpace { - - private ParameterSpace dropout; - - public AlphaDropoutSpace(double activationRetainProbability){ - this(new FixedValue<>(activationRetainProbability)); - } - - @Override - public IDropout getValue(double[] parameterValues) { - return new AlphaDropout(dropout.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return dropout.numParameters(); - } - - @Override - public List collectLeaves() { - return Collections.singletonList(dropout); - } - - @Override - public Map getNestedSpaces() { - return Collections.singletonMap("dropout", dropout); - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - dropout.setIndices(indices); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/DropoutSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/DropoutSpace.java deleted file mode 100644 index 52dea3155..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/DropoutSpace.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.dropout; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.dropout.Dropout; -import org.deeplearning4j.nn.conf.dropout.IDropout; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -@AllArgsConstructor -public class DropoutSpace implements ParameterSpace { - - private ParameterSpace dropout; - - public DropoutSpace(double activationRetainProbability){ - this(new FixedValue<>(activationRetainProbability)); - } - - @Override - public IDropout getValue(double[] parameterValues) { - return new Dropout(dropout.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return dropout.numParameters(); - } - - @Override - public List collectLeaves() { - return Collections.singletonList(dropout); - } - - @Override - public Map getNestedSpaces() { - return Collections.singletonMap("dropout", dropout); - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - dropout.setIndices(indices); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/GaussianDropoutSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/GaussianDropoutSpace.java deleted file mode 100644 index d694a383f..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/GaussianDropoutSpace.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.dropout; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.dropout.GaussianDropout; -import org.deeplearning4j.nn.conf.dropout.IDropout; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -@AllArgsConstructor -public class GaussianDropoutSpace implements ParameterSpace { - - private ParameterSpace rate; - - public GaussianDropoutSpace(double rate){ - this(new FixedValue<>(rate)); - } - - @Override - public IDropout getValue(double[] parameterValues) { - return new GaussianDropout(rate.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return rate.numParameters(); - } - - @Override - public List collectLeaves() { - return Collections.singletonList(rate); - } - - @Override - public Map getNestedSpaces() { - return Collections.singletonMap("rate", rate); - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - rate.setIndices(indices); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/GaussianNoiseSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/GaussianNoiseSpace.java deleted file mode 100644 index 706d389ee..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/dropout/GaussianNoiseSpace.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.dropout; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.dropout.GaussianNoise; -import org.deeplearning4j.nn.conf.dropout.IDropout; - -import java.util.Collections; -import java.util.List; -import java.util.Map; - -@AllArgsConstructor -public class GaussianNoiseSpace implements ParameterSpace { - - private ParameterSpace stddev; - - public GaussianNoiseSpace(double stddev){ - this(new FixedValue<>(stddev)); - } - - @Override - public IDropout getValue(double[] parameterValues) { - return new GaussianNoise(stddev.getValue(parameterValues)); - } - - @Override - public int numParameters() { - return stddev.numParameters(); - } - - @Override - public List collectLeaves() { - return Collections.singletonList(stddev); - } - - @Override - public Map getNestedSpaces() { - return Collections.singletonMap("stddev", stddev); - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - stddev.setIndices(indices); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/evaluator/multilayer/ClassificationEvaluator.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/evaluator/multilayer/ClassificationEvaluator.java deleted file mode 100644 index 3d13ea2f1..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/evaluator/multilayer/ClassificationEvaluator.java +++ /dev/null @@ -1,68 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.evaluator.multilayer; - -import lombok.AllArgsConstructor; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.evaluation.ModelEvaluator; -import org.deeplearning4j.arbiter.scoring.util.ScoreUtil; -import org.deeplearning4j.eval.Evaluation; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -import java.util.Arrays; -import java.util.List; -import java.util.Map; - -/** - * A model evaluator for doing additional - * evaluation (classification evaluation) - * for a {@link MultiLayerNetwork} given a {@link DataSetIterator} - * - * @author Alex Black - */ -@NoArgsConstructor -@AllArgsConstructor -public class ClassificationEvaluator implements ModelEvaluator { - private Map params = null; - - - @Override - public Evaluation evaluateModel(Object model, DataProvider dataProvider) { - - if (model instanceof MultiLayerNetwork) { - DataSetIterator iterator = ScoreUtil.getIterator(dataProvider.testData(params)); - return ScoreUtil.getEvaluation((MultiLayerNetwork) model, iterator); - } else { - DataSetIterator iterator = ScoreUtil.getIterator(dataProvider.testData(params)); - return ScoreUtil.getEvaluation((ComputationGraph) model, iterator); - } - } - - @Override - public List> getSupportedModelTypes() { - return Arrays.>asList(MultiLayerNetwork.class, ComputationGraph.class); - } - - @Override - public List> getSupportedDataTypes() { - return Arrays.>asList(DataSetIterator.class, MultiDataSetIterator.class); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/evaluator/multilayer/RegressionDataEvaluator.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/evaluator/multilayer/RegressionDataEvaluator.java deleted file mode 100644 index 7973b11e0..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/evaluator/multilayer/RegressionDataEvaluator.java +++ /dev/null @@ -1,62 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.evaluator.multilayer; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.evaluation.ModelEvaluator; -import org.deeplearning4j.arbiter.scoring.RegressionValue; -import org.deeplearning4j.arbiter.scoring.util.ScoreUtil; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -import java.util.Arrays; -import java.util.List; -import java.util.Map; - -/** - * Created by agibsonccc on 3/12/17. - */ -@AllArgsConstructor -public class RegressionDataEvaluator implements ModelEvaluator { - private RegressionValue regressionValue; - private Map params = null; - - @Override - public Double evaluateModel(Object model, DataProvider dataProvider) { - - if (model instanceof MultiLayerNetwork) { - DataSetIterator iterator = ScoreUtil.getIterator(dataProvider.testData(params)); - return ScoreUtil.score((MultiLayerNetwork) model, iterator, regressionValue); - } else { - DataSetIterator iterator = ScoreUtil.getIterator(dataProvider.testData(params)); - return ScoreUtil.score((ComputationGraph) model, iterator, regressionValue); - } - } - - @Override - public List> getSupportedModelTypes() { - return Arrays.>asList(MultiLayerNetwork.class, ComputationGraph.class); - } - - @Override - public List> getSupportedDataTypes() { - return Arrays.>asList(DataSetIterator.class, MultiDataSetIterator.class); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/AbstractLSTMLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/AbstractLSTMLayerSpace.java deleted file mode 100644 index d5b448f1e..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/AbstractLSTMLayerSpace.java +++ /dev/null @@ -1,107 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.AbstractLSTM; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; - -/** - * Layer space for LSTM layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public abstract class AbstractLSTMLayerSpace extends FeedForwardLayerSpace { - - protected ParameterSpace forgetGateBiasInit; - protected ParameterSpace gateActivationFn; - - protected AbstractLSTMLayerSpace(Builder builder) { - super(builder); - this.forgetGateBiasInit = builder.forgetGateBiasInit; - this.gateActivationFn = builder.gateActivationFn; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - protected void setLayerOptionsBuilder(AbstractLSTM.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (forgetGateBiasInit != null) - builder.forgetGateBiasInit(forgetGateBiasInit.getValue(values)); - if(gateActivationFn != null) - builder.gateActivationFunction(gateActivationFn.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder(); //"AbstractLSTMLayerSpace("); - if (forgetGateBiasInit != null) - sb.append("forgetGateBiasInit: ").append(forgetGateBiasInit).append(delim); - if (gateActivationFn != null) - sb.append("gateActivationFn: ").append(gateActivationFn).append(delim); - sb.append(super.toString(delim)); - return sb.toString(); - } - - public static abstract class Builder extends FeedForwardLayerSpace.Builder { - - private ParameterSpace forgetGateBiasInit; - private ParameterSpace gateActivationFn; - - public T forgetGateBiasInit(double forgetGateBiasInit) { - return forgetGateBiasInit(new FixedValue<>(forgetGateBiasInit)); - } - - public T forgetGateBiasInit(ParameterSpace forgetGateBiasInit) { - this.forgetGateBiasInit = forgetGateBiasInit; - return (T)this; - } - - public T gateActivationFn(Activation activation){ - return gateActivationFn(activation.getActivationFunction()); - } - - public T gateActivation(ParameterSpace gateActivationFn){ - return gateActivationFn(new ActivationParameterSpaceAdapter(gateActivationFn)); - } - - public T gateActivationFn(IActivation gateActivationFn){ - return gateActivationFn(new FixedValue<>(gateActivationFn)); - } - - public T gateActivationFn(ParameterSpace gateActivationFn){ - this.gateActivationFn = gateActivationFn; - return (T)this; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/ActivationLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/ActivationLayerSpace.java deleted file mode 100644 index 1d45d23c8..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/ActivationLayerSpace.java +++ /dev/null @@ -1,94 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.ActivationLayer; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; - -/** - * Layer space for {@link ActivationLayer} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class ActivationLayerSpace extends LayerSpace { - - private ParameterSpace activationFunction; - - protected ActivationLayerSpace(Builder builder) { - super(builder); - this.activationFunction = builder.activationFunction; - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - - @Override - public ActivationLayer getValue(double[] parameterValues) { - ActivationLayer.Builder b = new ActivationLayer.Builder(); - super.setLayerOptionsBuilder(b, parameterValues); - b.activation(activationFunction.getValue(parameterValues)); - return b.build(); - } - - public static class Builder extends LayerSpace.Builder { - - private ParameterSpace activationFunction; - - public Builder activation(Activation activation) { - return activation(new FixedValue<>(activation)); - } - - public Builder activation(IActivation iActivation) { - return activationFn(new FixedValue<>(iActivation)); - } - - public Builder activation(ParameterSpace activationFunction) { - return activationFn(new ActivationParameterSpaceAdapter(activationFunction)); - } - - public Builder activationFn(ParameterSpace activationFunction) { - this.activationFunction = activationFunction; - return this; - } - - @SuppressWarnings("unchecked") - public ActivationLayerSpace build() { - return new ActivationLayerSpace(this); - } - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "ActivationLayerSpace(" + super.toString(delim) + ")"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/AutoEncoderLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/AutoEncoderLayerSpace.java deleted file mode 100644 index bcbb94ec4..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/AutoEncoderLayerSpace.java +++ /dev/null @@ -1,107 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.AutoEncoder; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -/** - * Layer space for autoencoder layers - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class AutoEncoderLayerSpace extends BasePretrainNetworkLayerSpace { - @JsonProperty - private ParameterSpace corruptionLevel; - @JsonProperty - private ParameterSpace sparsity; - - private AutoEncoderLayerSpace(Builder builder) { - super(builder); - this.corruptionLevel = builder.corruptionLevel; - this.sparsity = builder.sparsity; - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public AutoEncoder getValue(double[] values) { - AutoEncoder.Builder b = new AutoEncoder.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(AutoEncoder.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (corruptionLevel != null) - builder.corruptionLevel(corruptionLevel.getValue(values)); - if (sparsity != null) - builder.sparsity(sparsity.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder("AutoEncoderLayerSpace("); - if (corruptionLevel != null) - sb.append("corruptionLevel: ").append(corruptionLevel).append(delim); - if (sparsity != null) - sb.append("sparsity: ").append(sparsity).append(delim); - sb.append(super.toString(delim)).append(")"); - return sb.toString(); - } - - public static class Builder extends BasePretrainNetworkLayerSpace.Builder { - - private ParameterSpace corruptionLevel; - private ParameterSpace sparsity; - - public Builder corruptionLevel(double corruptionLevel) { - return corruptionLevel(new FixedValue<>(corruptionLevel)); - } - - public Builder corruptionLevel(ParameterSpace corruptionLevel) { - this.corruptionLevel = corruptionLevel; - return this; - } - - public Builder sparsity(double sparsity) { - return sparsity(new FixedValue<>(sparsity)); - } - - public Builder sparsity(ParameterSpace sparsity) { - this.sparsity = sparsity; - return this; - } - - public AutoEncoderLayerSpace build() { - return new AutoEncoderLayerSpace(this); - } - - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseConvolutionLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseConvolutionLayerSpace.java deleted file mode 100644 index 11bf1f274..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseConvolutionLayerSpace.java +++ /dev/null @@ -1,162 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.ConvolutionMode; -import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; -import org.deeplearning4j.nn.conf.layers.FeedForwardLayer; - -/** - * Layer space for convolutional layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public abstract class BaseConvolutionLayerSpace extends FeedForwardLayerSpace { - protected ParameterSpace dilation; - protected ParameterSpace kernelSize; - protected ParameterSpace stride; - protected ParameterSpace padding; - protected ParameterSpace convolutionMode; - protected ParameterSpace hasBias; - - protected BaseConvolutionLayerSpace(Builder builder) { - super(builder); - this.dilation = builder.dilation; - this.kernelSize = builder.kernelSize; - this.stride = builder.stride; - this.padding = builder.padding; - this.convolutionMode = builder.convolutionMode; - this.hasBias = builder.hasBias; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - protected void setLayerOptionsBuilder(ConvolutionLayer.BaseConvBuilder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (dilation != null) - builder.dilation(dilation.getValue(values)); - if (kernelSize != null) - builder.kernelSize(kernelSize.getValue(values)); - if (stride != null) - builder.stride(stride.getValue(values)); - if (padding != null) - builder.padding(padding.getValue(values)); - if (convolutionMode != null) - builder.convolutionMode(convolutionMode.getValue(values)); - if (hasBias != null) - builder.hasBias(hasBias.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder(); - if (dilation != null) - sb.append("dilation: ").append(dilation).append(delim); - if (kernelSize != null) - sb.append("kernelSize: ").append(kernelSize).append(delim); - if (stride != null) - sb.append("stride: ").append(stride).append(delim); - if (padding != null) - sb.append("padding: ").append(padding).append(delim); - if (convolutionMode != null) - sb.append("convolutionMode: ").append(convolutionMode).append(delim); - if (hasBias != null) - sb.append("hasBias: ").append(hasBias).append(delim); - sb.append(super.toString(delim)); - return sb.toString(); - } - - - public static abstract class Builder extends FeedForwardLayerSpace.Builder { - protected ParameterSpace dilation; - protected ParameterSpace kernelSize; - protected ParameterSpace stride; - protected ParameterSpace padding; - protected ParameterSpace convolutionMode; - protected ParameterSpace hasBias; - - public T dilation(int... dilation) { - return dilation(new FixedValue<>(dilation)); - } - - public T dilation(ParameterSpace dilation) { - this.dilation = dilation; - return (T) this; - } - public T kernelSize(int... kernelSize) { - return kernelSize(new FixedValue<>(kernelSize)); - } - - public T kernelSize(ParameterSpace kernelSize) { - this.kernelSize = kernelSize; - return (T)this; - } - - public T stride(int... stride) { - return stride(new FixedValue<>(stride)); - } - - public T stride(ParameterSpace stride) { - this.stride = stride; - return (T)this; - } - - public T padding(int... padding) { - return padding(new FixedValue<>(padding)); - } - - public T padding(ParameterSpace padding) { - this.padding = padding; - return (T)this; - } - - public T convolutionMode(ConvolutionMode convolutionMode) { - return convolutionMode(new FixedValue<>(convolutionMode)); - } - - public T convolutionMode(ParameterSpace convolutionMode) { - this.convolutionMode = convolutionMode; - return (T)this; - } - - public T hasBias(boolean hasBias){ - return hasBias(new FixedValue<>(hasBias)); - } - - public T hasBias(ParameterSpace hasBias){ - this.hasBias = hasBias; - return (T)this; - } - - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseLayerSpace.java deleted file mode 100644 index 5f218faac..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseLayerSpace.java +++ /dev/null @@ -1,291 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import org.nd4j.shade.guava.base.Preconditions; -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.nn.conf.GradientNormalization; -import org.deeplearning4j.nn.conf.distribution.Distribution; -import org.deeplearning4j.nn.conf.layers.BaseLayer; -import org.deeplearning4j.nn.conf.weightnoise.IWeightNoise; -import org.deeplearning4j.nn.weights.WeightInit; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.learning.config.IUpdater; -import org.nd4j.shade.jackson.annotation.JsonInclude; - -import java.util.Map; - -/** - * BaseLayerSpace contains the common Layer hyperparameters; should match {@link BaseLayer} in terms of features - * - * @author Alex Black - */ -@JsonInclude(JsonInclude.Include.NON_NULL) - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public abstract class BaseLayerSpace extends LayerSpace { - protected ParameterSpace activationFunction; - protected ParameterSpace weightInit; - protected ParameterSpace biasInit; - protected ParameterSpace dist; - protected ParameterSpace l1; - protected ParameterSpace l2; - protected ParameterSpace l1Bias; - protected ParameterSpace l2Bias; - protected ParameterSpace updater; - protected ParameterSpace biasUpdater; - protected ParameterSpace weightNoise; - protected ParameterSpace gradientNormalization; - protected ParameterSpace gradientNormalizationThreshold; - protected int numParameters; - - @SuppressWarnings("unchecked") - protected BaseLayerSpace(Builder builder) { - super(builder); - this.activationFunction = builder.activationFunction; - this.weightInit = builder.weightInit; - this.biasInit = builder.biasInit; - this.dist = builder.dist; - this.l1 = builder.l1; - this.l2 = builder.l2; - this.l1Bias = builder.l1Bias; - this.l2Bias = builder.l2Bias; - this.updater = builder.updater; - this.biasUpdater = builder.biasUpdater; - this.weightNoise = builder.weightNoise; - this.gradientNormalization = builder.gradientNormalization; - this.gradientNormalizationThreshold = builder.gradientNormalizationThreshold; - } - - @Override - public int numParameters() { - return numParameters; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - throw new UnsupportedOperationException("Cannot set indices for non-leaf parameter space"); - } - - - protected void setLayerOptionsBuilder(BaseLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (activationFunction != null) - builder.activation(activationFunction.getValue(values)); - if (biasInit != null) - builder.biasInit(biasInit.getValue(values)); - if (weightInit != null) - builder.weightInit(weightInit.getValue(values)); - if (dist != null) - builder.dist(dist.getValue(values)); - if (l1 != null) - builder.l1(l1.getValue(values)); - if (l2 != null) - builder.l2(l2.getValue(values)); - if (l1Bias != null) - builder.l1Bias(l1Bias.getValue(values)); - if (l2Bias != null) - builder.l2Bias(l2Bias.getValue(values)); - if (updater != null) - builder.updater(updater.getValue(values)); - if (biasUpdater != null) - builder.biasUpdater(biasUpdater.getValue(values)); - if (weightNoise != null) - builder.weightNoise(weightNoise.getValue(values)); - if (gradientNormalization != null) - builder.gradientNormalization(gradientNormalization.getValue(values)); - if (gradientNormalizationThreshold != null) - builder.gradientNormalizationThreshold(gradientNormalizationThreshold.getValue(values)); - } - - - @Override - public String toString() { - return toString(", "); - } - - protected String toString(String delim) { - StringBuilder sb = new StringBuilder(); - - for (Map.Entry e : getNestedSpaces().entrySet()) { - sb.append(e.getKey()).append(": ").append(e.getValue()).append("\n"); - } - return sb.toString(); - } - - @SuppressWarnings("unchecked") - public abstract static class Builder extends LayerSpace.Builder { - protected ParameterSpace activationFunction; - protected ParameterSpace weightInit; - protected ParameterSpace biasInit; - protected ParameterSpace dist; - protected ParameterSpace l1; - protected ParameterSpace l2; - protected ParameterSpace l1Bias; - protected ParameterSpace l2Bias; - protected ParameterSpace updater; - protected ParameterSpace biasUpdater; - protected ParameterSpace weightNoise; - protected ParameterSpace gradientNormalization; - protected ParameterSpace gradientNormalizationThreshold; - - public T activation(Activation... activations){ - Preconditions.checkArgument(activations.length > 0, "Activations length must be 1 or more"); - if(activations.length == 1){ - return activation(activations[0]); - } - return activation(new DiscreteParameterSpace<>(activations)); - } - - public T activation(Activation activation) { - return activation(new FixedValue<>(activation)); - } - - public T activation(IActivation iActivation) { - return activationFn(new FixedValue<>(iActivation)); - } - - public T activation(ParameterSpace activationFunction) { - return activationFn(new ActivationParameterSpaceAdapter(activationFunction)); - } - - public T activationFn(ParameterSpace activationFunction) { - this.activationFunction = activationFunction; - return (T) this; - } - - public T weightInit(WeightInit weightInit) { - return (T) weightInit(new FixedValue(weightInit)); - } - - public T weightInit(ParameterSpace weightInit) { - this.weightInit = weightInit; - return (T) this; - } - - public T weightInit(Distribution distribution){ - weightInit(WeightInit.DISTRIBUTION); - return dist(distribution); - } - - public T biasInit(double biasInit){ - return biasInit(new FixedValue<>(biasInit)); - } - - public T biasInit(ParameterSpace biasInit){ - this.biasInit = biasInit; - return (T) this; - } - - public T dist(Distribution dist) { - return dist(new FixedValue<>(dist)); - } - - public T dist(ParameterSpace dist) { - this.dist = dist; - return (T) this; - } - - public T l1(double l1) { - return l1(new FixedValue(l1)); - } - - public T l1(ParameterSpace l1) { - this.l1 = l1; - return (T) this; - } - - public T l2(double l2) { - return l2(new FixedValue(l2)); - } - - public T l2(ParameterSpace l2) { - this.l2 = l2; - return (T) this; - } - - public T l1Bias(double l1Bias) { - return l1Bias(new FixedValue(l1Bias)); - } - - public T l1Bias(ParameterSpace l1Bias) { - this.l1Bias = l1Bias; - return (T) this; - } - - public T l2Bias(double l2Bias) { - return l2Bias(new FixedValue<>(l2Bias)); - } - - public T l2Bias(ParameterSpace l2Bias) { - this.l2Bias = l2Bias; - return (T) this; - } - - public T updater(IUpdater updater) { - return updater(new FixedValue<>(updater)); - } - - public T updater(ParameterSpace updater) { - this.updater = updater; - return (T) this; - } - - public T biasUpdater(IUpdater biasUpdater) { - return biasUpdater(new FixedValue<>(biasUpdater)); - } - - public T biasUpdater(ParameterSpace biasUpdater) { - this.biasUpdater = biasUpdater; - return (T) this; - } - - public T gradientNormalization(GradientNormalization gradientNormalization) { - return gradientNormalization(new FixedValue(gradientNormalization)); - } - - public T gradientNormalization(ParameterSpace gradientNormalization) { - this.gradientNormalization = gradientNormalization; - return (T) this; - } - - public T gradientNormalizationThreshold(double threshold) { - return gradientNormalizationThreshold(new FixedValue<>(threshold)); - } - - public T gradientNormalizationThreshold(ParameterSpace gradientNormalizationThreshold) { - this.gradientNormalizationThreshold = gradientNormalizationThreshold; - return (T) this; - } - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseOutputLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseOutputLayerSpace.java deleted file mode 100644 index 857f729ad..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BaseOutputLayerSpace.java +++ /dev/null @@ -1,87 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.adapter.LossFunctionParameterSpaceAdapter; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.layers.BaseOutputLayer; -import org.nd4j.linalg.lossfunctions.ILossFunction; -import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction; - -/** - * @param Type of the (concrete) output layer - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PUBLIC) //For Jackson JSON/YAML deserialization -public abstract class BaseOutputLayerSpace extends FeedForwardLayerSpace { - - protected ParameterSpace lossFunction; - protected ParameterSpace hasBias; - - protected BaseOutputLayerSpace(Builder builder) { - super(builder); - this.lossFunction = builder.lossFunction; - this.hasBias = builder.hasBias; - } - - protected void setLayerOptionsBuilder(BaseOutputLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (lossFunction != null) - builder.lossFunction(lossFunction.getValue(values)); - if (hasBias != null) - builder.hasBias(hasBias.getValue(values)); - } - - @SuppressWarnings("unchecked") - public static abstract class Builder extends FeedForwardLayerSpace.Builder { - - protected ParameterSpace lossFunction; - protected ParameterSpace hasBias; - - public T lossFunction(LossFunction lossFunction) { - return lossFunction(new FixedValue<>(lossFunction)); - } - - public T lossFunction(ParameterSpace lossFunction) { - return iLossFunction(new LossFunctionParameterSpaceAdapter(lossFunction)); - } - - public T iLossFunction(ILossFunction lossFunction) { - return iLossFunction(new FixedValue<>(lossFunction)); - } - - public T iLossFunction(ParameterSpace lossFunction) { - this.lossFunction = lossFunction; - return (T) this; - } - - public T hasBias(boolean hasBias){ - return hasBias(new FixedValue<>(hasBias)); - } - - public T hasBias(ParameterSpace hasBias){ - this.hasBias = hasBias; - return (T)this; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BasePretrainNetworkLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BasePretrainNetworkLayerSpace.java deleted file mode 100644 index b3431906a..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BasePretrainNetworkLayerSpace.java +++ /dev/null @@ -1,57 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.layers.BasePretrainNetwork; -import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction; -import org.nd4j.shade.jackson.annotation.JsonProperty; - - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public abstract class BasePretrainNetworkLayerSpace extends FeedForwardLayerSpace { - @JsonProperty - protected ParameterSpace lossFunction; - - protected BasePretrainNetworkLayerSpace(Builder builder) { - super(builder); - this.lossFunction = builder.lossFunction; - } - - - public static abstract class Builder extends FeedForwardLayerSpace.Builder { - protected ParameterSpace lossFunction; - - public T lossFunction(LossFunction lossFunction) { - return lossFunction(new FixedValue(lossFunction)); - } - - public T lossFunction(ParameterSpace lossFunction) { - this.lossFunction = lossFunction; - return (T) this; - } - - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BatchNormalizationSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BatchNormalizationSpace.java deleted file mode 100644 index 09c1c071f..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/BatchNormalizationSpace.java +++ /dev/null @@ -1,214 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.api.layers.LayerConstraint; -import org.deeplearning4j.nn.conf.layers.BatchNormalization; - -import java.util.Arrays; -import java.util.List; - -/** - * LayerSpace for batch normalization layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class BatchNormalizationSpace extends FeedForwardLayerSpace { - - protected ParameterSpace decay; - protected ParameterSpace eps; - protected ParameterSpace isMinibatch; - protected ParameterSpace lockGammaBeta; - protected ParameterSpace gamma; - protected ParameterSpace beta; - protected ParameterSpace> constrainBeta; - protected ParameterSpace> constrainGamma; - - private BatchNormalizationSpace(Builder builder) { - super(builder); - this.decay = builder.decay; - this.eps = builder.eps; - this.isMinibatch = builder.isMinibatch; - this.lockGammaBeta = builder.lockGammaBeta; - this.gamma = builder.gamma; - this.beta = builder.beta; - this.constrainBeta = builder.betaConstraints; - this.constrainGamma = builder.gammaConstraints; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public BatchNormalization getValue(double[] parameterValues) { - BatchNormalization.Builder b = new BatchNormalization.Builder(); - setLayerOptionsBuilder(b, parameterValues); - return b.build(); - } - - protected void setLayerOptionsBuilder(BatchNormalization.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (decay != null) - builder.decay(decay.getValue(values)); - if (eps != null) - builder.eps(eps.getValue(values)); - if (isMinibatch != null) - builder.minibatch(isMinibatch.getValue(values)); - if (lockGammaBeta != null) - builder.lockGammaBeta(lockGammaBeta.getValue(values)); - if (gamma != null) - builder.gamma(gamma.getValue(values)); - if (beta != null) - builder.beta(beta.getValue(values)); - if (constrainBeta != null){ - List c = constrainBeta.getValue(values); - if(c != null){ - builder.constrainBeta(c.toArray(new LayerConstraint[0])); - } - } - if (constrainGamma != null){ - List c = constrainGamma.getValue(values); - if(c != null){ - builder.constrainGamma(c.toArray(new LayerConstraint[0])); - } - } - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder(); - sb.append("BatchNormalizationSpace(").append(super.toString(delim)); - if (decay != null) - sb.append("decay: ").append(decay).append(delim); - if (eps != null) - sb.append("eps: ").append(eps).append(delim); - if (isMinibatch != null) - sb.append("isMinibatch: ").append(isMinibatch).append(delim); - if (lockGammaBeta != null) - sb.append("lockGammaBeta: ").append(lockGammaBeta).append(delim); - if (gamma != null) - sb.append("gamma: ").append(gamma).append(delim); - if (beta != null) - sb.append("beta: ").append(beta).append(delim); - sb.append(")"); - return sb.toString(); - } - - public static class Builder extends FeedForwardLayerSpace.Builder { - - protected ParameterSpace decay; - protected ParameterSpace eps; - protected ParameterSpace isMinibatch; - protected ParameterSpace lockGammaBeta; - protected ParameterSpace gamma; - protected ParameterSpace beta; - protected ParameterSpace> betaConstraints; - protected ParameterSpace> gammaConstraints; - - public Builder minibatch(boolean minibatch) { - return minibatch(new FixedValue<>(minibatch)); - } - - public Builder minibatch(ParameterSpace minibatch) { - this.isMinibatch = minibatch; - return this; - } - - public Builder gamma(double gamma) { - return gamma(new FixedValue<>(gamma)); - } - - public Builder gamma(ParameterSpace gamma) { - this.gamma = gamma; - return this; - } - - public Builder beta(double beta) { - return beta(new FixedValue<>(beta)); - } - - public Builder beta(ParameterSpace beta) { - this.beta = beta; - return this; - } - - public Builder eps(double eps) { - return eps(new FixedValue<>(eps)); - } - - public Builder eps(ParameterSpace eps) { - this.eps = eps; - return this; - } - - public Builder decay(double decay) { - return decay(new FixedValue(decay)); - } - - public Builder decay(ParameterSpace decay) { - this.decay = decay; - return this; - } - - public Builder lockGammaBeta(boolean lockGammaBeta) { - return lockGammaBeta(new FixedValue<>(lockGammaBeta)); - } - - public Builder lockGammaBeta(ParameterSpace lockGammaBeta) { - this.lockGammaBeta = lockGammaBeta; - return this; - } - - public Builder constrainBeta(LayerConstraint... constraints) { - return constrainBeta(new FixedValue<>(Arrays.asList(constraints))); - } - - public Builder constrainBeta(ParameterSpace> constraints) { - this.betaConstraints = constraints; - return this; - } - - public Builder constrainGamma(LayerConstraint... constraints) { - return constrainGamma(new FixedValue<>(Arrays.asList(constraints))); - } - - public Builder constrainGamma(ParameterSpace> constraints) { - this.gammaConstraints = constraints; - return this; - } - - - @Override - public BatchNormalizationSpace build() { - return new BatchNormalizationSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/Bidirectional.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/Bidirectional.java deleted file mode 100644 index 64cdfd369..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/Bidirectional.java +++ /dev/null @@ -1,67 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.Data; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.nn.conf.layers.Layer; - -import java.util.List; - -/** - * Bidirectional layer wrapper. Can be used wrap an existing layer space, in the same way that - * {@link org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional} wraps a DL4J layer - * - * @author Alex Black - */ -@NoArgsConstructor //JSON -@Data -public class Bidirectional extends LayerSpace { - - protected LayerSpace layerSpace; - - public Bidirectional(LayerSpace layerSpace){ - this.layerSpace = layerSpace; - } - - @Override - public Layer getValue(double[] parameterValues) { - Layer underlying = layerSpace.getValue(parameterValues); - return new org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional(underlying); - } - - @Override - public int numParameters() { - return layerSpace.numParameters(); - } - - @Override - public List collectLeaves() { - return layerSpace.collectLeaves(); - } - - @Override - public boolean isLeaf() { - return layerSpace.isLeaf(); - } - - @Override - public void setIndices(int... indices) { - layerSpace.setIndices(indices); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/CenterLossOutputLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/CenterLossOutputLayerSpace.java deleted file mode 100644 index ecba732c3..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/CenterLossOutputLayerSpace.java +++ /dev/null @@ -1,87 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public class CenterLossOutputLayerSpace extends BaseOutputLayerSpace { - - ParameterSpace alpha; - ParameterSpace lambda; - - protected CenterLossOutputLayerSpace(Builder builder){ - super(builder); - this.alpha = builder.alpha; - this.lambda = builder.lambda; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public CenterLossOutputLayer getValue(double[] parameterValues) { - CenterLossOutputLayer.Builder b = new CenterLossOutputLayer.Builder(); - setLayerOptionsBuilder(b, parameterValues); - return b.build(); - } - - protected void setLayerBuilderOptions(CenterLossOutputLayer.Builder builder, double[] values){ - super.setLayerOptionsBuilder(builder, values); - if(alpha != null) - builder.alpha(alpha.getValue(values)); - if(lambda != null) - builder.lambda(lambda.getValue(values)); - } - - public static class Builder extends BaseOutputLayerSpace.Builder { - - ParameterSpace alpha; - ParameterSpace lambda; - - public Builder alpha(double alpha){ - return alpha(new FixedValue<>(alpha)); - } - - public Builder alpha(ParameterSpace alpha){ - this.alpha = alpha; - return this; - } - - public Builder lambda(double lambda){ - return lambda(new FixedValue<>(lambda)); - } - - public Builder lambda(ParameterSpace lambda){ - this.lambda = lambda; - return this; - } - - @Override - public CenterLossOutputLayerSpace build() { - return new CenterLossOutputLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/ConvolutionLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/ConvolutionLayerSpace.java deleted file mode 100644 index 110e5b6e7..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/ConvolutionLayerSpace.java +++ /dev/null @@ -1,172 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.ConvolutionMode; -import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; - -/** - * Layer space for convolutional layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class ConvolutionLayerSpace extends FeedForwardLayerSpace { - protected ParameterSpace dilation; - protected ParameterSpace kernelSize; - protected ParameterSpace stride; - protected ParameterSpace padding; - protected ParameterSpace convolutionMode; - protected ParameterSpace hasBias; - - private ConvolutionLayerSpace(Builder builder) { - super(builder); - this.dilation = builder.dilation; - this.kernelSize = builder.kernelSize; - this.stride = builder.stride; - this.padding = builder.padding; - this.convolutionMode = builder.convolutionMode; - this.hasBias = builder.hasBias; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public ConvolutionLayer getValue(double[] values) { - ConvolutionLayer.Builder b = new ConvolutionLayer.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(ConvolutionLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (dilation != null) - builder.dilation(dilation.getValue(values)); - if (kernelSize != null) - builder.kernelSize(kernelSize.getValue(values)); - if (stride != null) - builder.stride(stride.getValue(values)); - if (padding != null) - builder.padding(padding.getValue(values)); - if (convolutionMode != null) - builder.convolutionMode(convolutionMode.getValue(values)); - if (hasBias != null) - builder.hasBias(hasBias.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder("ConvolutionLayerSpace("); - if (dilation != null) - sb.append("dilation: ").append(dilation).append(delim); - if (kernelSize != null) - sb.append("kernelSize: ").append(kernelSize).append(delim); - if (stride != null) - sb.append("stride: ").append(stride).append(delim); - if (padding != null) - sb.append("padding: ").append(padding).append(delim); - if (convolutionMode != null) - sb.append("convolutionMode: ").append(convolutionMode).append(delim); - if (hasBias != null) - sb.append("hasBias: ").append(hasBias).append(delim); - sb.append(super.toString(delim)).append(")"); - return sb.toString(); - } - - - public static class Builder extends FeedForwardLayerSpace.Builder { - protected ParameterSpace dilation; - protected ParameterSpace kernelSize; - protected ParameterSpace stride; - protected ParameterSpace padding; - protected ParameterSpace convolutionMode; - protected ParameterSpace hasBias; - - public Builder dilation(int... dilation) { - return dilation(new FixedValue<>(dilation)); - } - - public Builder dilation(ParameterSpace dilation) { - this.dilation = dilation; - return this; - } - public Builder kernelSize(int... kernelSize) { - return kernelSize(new FixedValue<>(kernelSize)); - } - - public Builder kernelSize(ParameterSpace kernelSize) { - this.kernelSize = kernelSize; - return this; - } - - public Builder stride(int... stride) { - return stride(new FixedValue<>(stride)); - } - - public Builder stride(ParameterSpace stride) { - this.stride = stride; - return this; - } - - public Builder padding(int... padding) { - return padding(new FixedValue<>(padding)); - } - - public Builder padding(ParameterSpace padding) { - this.padding = padding; - return this; - } - - public Builder convolutionMode(ConvolutionMode convolutionMode) { - return convolutionMode(new FixedValue<>(convolutionMode)); - } - - public Builder convolutionMode(ParameterSpace convolutionMode) { - this.convolutionMode = convolutionMode; - return this; - } - - public Builder hasBias(boolean hasBias){ - return hasBias(new FixedValue<>(hasBias)); - } - - public Builder hasBias(ParameterSpace hasBias){ - this.hasBias = hasBias; - return this; - } - - public ConvolutionLayerSpace build() { - return new ConvolutionLayerSpace(this); - } - - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/Deconvolution2DLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/Deconvolution2DLayerSpace.java deleted file mode 100644 index 72231f246..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/Deconvolution2DLayerSpace.java +++ /dev/null @@ -1,52 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.nn.conf.layers.Deconvolution2D; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public class Deconvolution2DLayerSpace extends BaseConvolutionLayerSpace { - - protected Deconvolution2DLayerSpace(Builder builder) { - super(builder); - } - - @Override - public Deconvolution2D getValue(double[] parameterValues) { - Deconvolution2D.Builder b = new Deconvolution2D.Builder(); - setLayerOptionsBuilder(b, parameterValues); - return b.build(); - } - - protected void setLayerOptionsBuilder(Deconvolution2D.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - } - - public static class Builder extends BaseConvolutionLayerSpace.Builder { - @Override - public Deconvolution2DLayerSpace build() { - return new Deconvolution2DLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/DenseLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/DenseLayerSpace.java deleted file mode 100644 index 4a7ac3f28..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/DenseLayerSpace.java +++ /dev/null @@ -1,90 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.DenseLayer; - -/** - * layer hyperparameter configuration space for dense layers (i.e., multi-layer perceptron layers) - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor //For Jackson JSON/YAML deserialization -public class DenseLayerSpace extends FeedForwardLayerSpace { - - protected ParameterSpace hasBias; - - private DenseLayerSpace(Builder builder) { - super(builder); - - this.hasBias = builder.hasBias; - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public DenseLayer getValue(double[] values) { - //Using the builder here, to get default options - DenseLayer.Builder b = new DenseLayer.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(DenseLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if(hasBias != null) - builder.hasBias(hasBias.getValue(values)); - } - - public static class Builder extends FeedForwardLayerSpace.Builder { - - protected ParameterSpace hasBias; - - public Builder hasBias(boolean hasBias){ - return hasBias(new FixedValue<>(hasBias)); - } - - public Builder hasBias(ParameterSpace hasBias){ - this.hasBias = hasBias; - return this; - } - - @Override - @SuppressWarnings("unchecked") - public DenseLayerSpace build() { - return new DenseLayerSpace(this); - } - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "DenseLayerSpace(" + super.toString(delim) + ")"; - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/DropoutLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/DropoutLayerSpace.java deleted file mode 100644 index 1db5ec587..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/DropoutLayerSpace.java +++ /dev/null @@ -1,87 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.*; -import org.deeplearning4j.arbiter.dropout.DropoutSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.dropout.IDropout; -import org.deeplearning4j.nn.conf.layers.DropoutLayer; - -import java.util.List; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public class DropoutLayerSpace extends LayerSpace { - - public DropoutLayerSpace(@NonNull ParameterSpace dropout){ - this.dropOut = dropout; - } - - protected DropoutLayerSpace(Builder builder){ - super(builder); - } - - @Override - public DropoutLayer getValue(double[] parameterValues) { - return new DropoutLayer.Builder().dropOut(dropOut.getValue(parameterValues)).build(); - } - - @Override - public int numParameters() { - return dropOut.numParameters(); - } - - @Override - public List collectLeaves() { - return dropOut.collectLeaves(); - } - - - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - dropOut.setIndices(indices); - } - - public static class Builder extends LayerSpace.Builder { - - public Builder dropOut(double d){ - return iDropOut(new DropoutSpace(new FixedValue<>(d))); - } - - public Builder dropOut(ParameterSpace dropOut){ - return iDropOut(new DropoutSpace(dropOut)); - } - - public Builder iDropOut(ParameterSpace dropout){ - this.dropOut = dropout; - return this; - } - - public DropoutLayerSpace build(){ - return new DropoutLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/EmbeddingLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/EmbeddingLayerSpace.java deleted file mode 100644 index 7aa5c5444..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/EmbeddingLayerSpace.java +++ /dev/null @@ -1,88 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.EmbeddingLayer; - -/** - * Layer hyperparameter configuration space for {@link org.deeplearning4j.nn.conf.layers.EmbeddingLayer} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class EmbeddingLayerSpace extends FeedForwardLayerSpace { - private ParameterSpace hasBias; - - private EmbeddingLayerSpace(Builder builder) { - super(builder); - this.hasBias = builder.hasBias; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public EmbeddingLayer getValue(double[] values) { - //Using the builder here, to get default options - EmbeddingLayer.Builder b = new EmbeddingLayer.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(EmbeddingLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if(hasBias != null) - builder.hasBias(hasBias.getValue(values)); - } - - public static class Builder extends FeedForwardLayerSpace.Builder { - protected ParameterSpace hasBias; - - public Builder hasBias(boolean hasBias){ - return hasBias(new FixedValue<>(hasBias)); - } - - public Builder hasBias(ParameterSpace hasBias){ - this.hasBias = hasBias; - return this; - } - - @Override - @SuppressWarnings("unchecked") - public EmbeddingLayerSpace build() { - return new EmbeddingLayerSpace(this); - } - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "EmbeddingLayerSpace(" + super.toString(delim) + ")"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/FeedForwardLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/FeedForwardLayerSpace.java deleted file mode 100644 index 3715071a6..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/FeedForwardLayerSpace.java +++ /dev/null @@ -1,154 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.api.layers.LayerConstraint; -import org.deeplearning4j.nn.conf.layers.FeedForwardLayer; - -import java.util.Arrays; -import java.util.List; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor //For Jackson JSON/YAML deserialization -public abstract class FeedForwardLayerSpace extends BaseLayerSpace { - protected ParameterSpace nIn; - protected ParameterSpace nOut; - protected ParameterSpace> constrainWeights; - protected ParameterSpace> constrainBias; - protected ParameterSpace> constrainAll; - - - protected FeedForwardLayerSpace(Builder builder) { - super(builder); - nIn = builder.nIn; - nOut = builder.nOut; - constrainWeights = builder.constrainWeights; - constrainBias = builder.constrainBias; - constrainAll = builder.constrainAll; - } - - protected void setLayerOptionsBuilder(FeedForwardLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (nIn != null) - builder.nIn(nIn.getValue(values)); - if (nOut != null) - builder.nOut(nOut.getValue(values)); - if (constrainWeights != null){ - List c = constrainWeights.getValue(values); - if(c != null){ - builder.constrainWeights(c.toArray(new LayerConstraint[0])); - } - } - if (constrainBias != null){ - List c = constrainBias.getValue(values); - if(c != null){ - builder.constrainBias(c.toArray(new LayerConstraint[0])); - } - } - if (constrainAll != null){ - List c = constrainAll.getValue(values); - if(c != null){ - builder.constrainAllParameters(c.toArray(new LayerConstraint[0])); - } - } - - } - - - public abstract static class Builder extends BaseLayerSpace.Builder { - - protected ParameterSpace nIn; - protected ParameterSpace nOut; - protected ParameterSpace> constrainWeights; - protected ParameterSpace> constrainBias; - protected ParameterSpace> constrainAll; - - public T nIn(int nIn) { - return nIn(new FixedValue<>(nIn)); - } - - public T nIn(ParameterSpace nIn) { - this.nIn = nIn; - return (T) this; - } - - public T nOut(int nOut) { - return nOut(new FixedValue<>(nOut)); - } - - public T nOut(ParameterSpace nOut) { - this.nOut = nOut; - return (T) this; - } - - public T constrainWeights(LayerConstraint... constraints){ - return constrainWeights(new FixedValue>(Arrays.asList(constraints))); - } - - public T constrainWeights(ParameterSpace> constraints){ - this.constrainWeights = constraints; - return (T) this; - } - - public T constrainBias(LayerConstraint... constraints){ - return constrainBias(new FixedValue>(Arrays.asList(constraints))); - } - - public T constrainBias(ParameterSpace> constraints){ - this.constrainBias = constraints; - return (T) this; - } - - public T constrainAllParams(LayerConstraint... constraints){ - return constrainAllParams(new FixedValue>(Arrays.asList(constraints))); - } - - public T constrainAllParams(ParameterSpace> constraints){ - this.constrainAll = constraints; - return (T) this; - } - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - protected String toString(String delim) { - StringBuilder sb = new StringBuilder(); - if (nIn != null) - sb.append("nIn: ").append(nIn).append(delim); - if (nOut != null) - sb.append("nOut: ").append(nOut).append(delim); - if (constrainWeights != null) - sb.append("constrainWeights: ").append(constrainWeights).append(delim); - if (constrainBias != null) - sb.append("constrainBias: ").append(constrainBias).append(delim); - if (constrainAll != null) - sb.append("constrainAllParams: ").append(constrainAll).append(delim); - sb.append(super.toString(delim)); - return sb.toString(); - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GlobalPoolingLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GlobalPoolingLayerSpace.java deleted file mode 100644 index 17bd22103..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GlobalPoolingLayerSpace.java +++ /dev/null @@ -1,135 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer; -import org.deeplearning4j.nn.conf.layers.PoolingType; - -/** - * Layer space for a {@link GlobalPoolingLayer} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class GlobalPoolingLayerSpace extends LayerSpace { - - protected ParameterSpace poolingDimensions; - protected ParameterSpace collapseDimensions; - protected ParameterSpace poolingType; - protected ParameterSpace pNorm; - - private int numParameters; - - private GlobalPoolingLayerSpace(Builder builder) { - super(builder); - this.poolingDimensions = builder.poolingDimensions; - this.collapseDimensions = builder.collapseDimensions; - this.poolingType = builder.poolingType; - this.pNorm = builder.pNorm; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public GlobalPoolingLayer getValue(double[] parameterValues) { - GlobalPoolingLayer.Builder builder = new GlobalPoolingLayer.Builder(); - super.setLayerOptionsBuilder(builder, parameterValues); - if (poolingDimensions != null) - builder.poolingDimensions(poolingDimensions.getValue(parameterValues)); - if (collapseDimensions != null) - builder.collapseDimensions(collapseDimensions.getValue(parameterValues)); - if (poolingType != null) - builder.poolingType(poolingType.getValue(parameterValues)); - if (pNorm != null) - builder.pnorm(pNorm.getValue(parameterValues)); - return builder.build(); - } - - @Override - public int numParameters() { - return numParameters; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - throw new UnsupportedOperationException("Cannot set indices for non-leaf parameter space"); - } - - - - public static class Builder extends LayerSpace.Builder { - - protected ParameterSpace poolingDimensions; - protected ParameterSpace collapseDimensions; - protected ParameterSpace poolingType; - protected ParameterSpace pNorm; - - public Builder poolingDimensions(int... poolingDimensions) { - return poolingDimensions(new FixedValue<>(poolingDimensions)); - } - - public Builder poolingDimensions(ParameterSpace poolingDimensions) { - this.poolingDimensions = poolingDimensions; - return this; - } - - public Builder collapseDimensions(boolean collapseDimensions) { - return collapseDimensions(new FixedValue<>(collapseDimensions)); - } - - public Builder collapseDimensions(ParameterSpace collapseDimensions) { - this.collapseDimensions = collapseDimensions; - return this; - } - - public Builder poolingType(PoolingType poolingType) { - return poolingType(new FixedValue<>(poolingType)); - } - - public Builder poolingType(ParameterSpace poolingType) { - this.poolingType = poolingType; - return this; - } - - public Builder pNorm(int pNorm) { - return pNorm(new FixedValue<>(pNorm)); - } - - public Builder pNorm(ParameterSpace pNorm) { - this.pNorm = pNorm; - return this; - } - - public GlobalPoolingLayerSpace build() { - return new GlobalPoolingLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GravesBidirectionalLSTMLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GravesBidirectionalLSTMLayerSpace.java deleted file mode 100644 index e42deacbe..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GravesBidirectionalLSTMLayerSpace.java +++ /dev/null @@ -1,97 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM; - -import java.util.List; - -/** - * Layer space for Bidirectional LSTM layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class GravesBidirectionalLSTMLayerSpace extends FeedForwardLayerSpace { - - private ParameterSpace forgetGateBiasInit; - - private GravesBidirectionalLSTMLayerSpace(Builder builder) { - super(builder); - this.forgetGateBiasInit = builder.forgetGateBiasInit; - - List l = collectLeaves(); - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - - @Override - public GravesBidirectionalLSTM getValue(double[] values) { - GravesBidirectionalLSTM.Builder b = new GravesBidirectionalLSTM.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(GravesBidirectionalLSTM.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (forgetGateBiasInit != null) - builder.forgetGateBiasInit(forgetGateBiasInit.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder("GravesBidirectionalLSTMLayerSpace("); - if (forgetGateBiasInit != null) - sb.append("forgetGateBiasInit: ").append(forgetGateBiasInit).append(delim); - sb.append(super.toString(delim)).append(")"); - return sb.toString(); - } - - public static class Builder extends FeedForwardLayerSpace.Builder { - - private ParameterSpace forgetGateBiasInit; - - public Builder forgetGateBiasInit(double forgetGateBiasInit) { - return forgetGateBiasInit(new FixedValue<>(forgetGateBiasInit)); - } - - public Builder forgetGateBiasInit(ParameterSpace forgetGateBiasInit) { - this.forgetGateBiasInit = forgetGateBiasInit; - return this; - } - - @Override - @SuppressWarnings("unchecked") - public GravesBidirectionalLSTMLayerSpace build() { - return new GravesBidirectionalLSTMLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GravesLSTMLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GravesLSTMLayerSpace.java deleted file mode 100644 index dd4a6d720..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/GravesLSTMLayerSpace.java +++ /dev/null @@ -1,72 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.GravesLSTM; - -/** - * Layer space for LSTM layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class GravesLSTMLayerSpace extends AbstractLSTMLayerSpace { - - private GravesLSTMLayerSpace(Builder builder) { - super(builder); - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - - @Override - public GravesLSTM getValue(double[] values) { - GravesLSTM.Builder b = new GravesLSTM.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(GravesLSTM.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "GravesLSTMLayerSpace(" + super.toString(delim) + ")"; - } - - public static class Builder extends AbstractLSTMLayerSpace.Builder { - - @Override - @SuppressWarnings("unchecked") - public GravesLSTMLayerSpace build() { - return new GravesLSTMLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LSTMLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LSTMLayerSpace.java deleted file mode 100644 index 0037e7645..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LSTMLayerSpace.java +++ /dev/null @@ -1,72 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.LSTM; - -/** - * Layer space for LSTM layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class LSTMLayerSpace extends AbstractLSTMLayerSpace { - - private LSTMLayerSpace(Builder builder) { - super(builder); - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - - @Override - public LSTM getValue(double[] values) { - LSTM.Builder b = new LSTM.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(LSTM.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "LSTMLayerSpace(" + super.toString(delim) + ")"; - } - - public static class Builder extends AbstractLSTMLayerSpace.Builder { - - @Override - @SuppressWarnings("unchecked") - public LSTMLayerSpace build() { - return new LSTMLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LayerSpace.java deleted file mode 100644 index c0de63756..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LayerSpace.java +++ /dev/null @@ -1,138 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.dropout.DropoutSpace; -import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.conf.dropout.IDropout; -import org.deeplearning4j.nn.conf.layers.Layer; -import org.nd4j.shade.jackson.annotation.JsonInclude; - -import java.util.ArrayList; -import java.util.LinkedList; -import java.util.List; -import java.util.Map; - -/** - * LayerSpace contains common Layer hyperparameters; should match {@link Layer} in terms of features - * - * @author Alex Black - */ -@JsonInclude(JsonInclude.Include.NON_NULL) -@Data -@EqualsAndHashCode(callSuper = false) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public abstract class LayerSpace extends AbstractParameterSpace { - protected ParameterSpace dropOut; - protected int numParameters; - - protected LayerSpace(Builder builder) { - this.dropOut = builder.dropOut; - } - - @Override - public List collectLeaves() { - //To avoid manually coding EVERY parameter, in every layer: - // Do a depth-first search of nested spaces - LinkedList stack = new LinkedList<>(); - stack.add(this); - - List out = new ArrayList<>(); - while (!stack.isEmpty()) { - ParameterSpace next = stack.removeLast(); - if (next.isLeaf()) { - out.add(next); - } else { - Map m = next.getNestedSpaces(); - ParameterSpace[] arr = m.values().toArray(new ParameterSpace[0]); - for (int i = arr.length - 1; i >= 0; i--) { - stack.add(arr[i]); - } - } - } - - return out; - } - - @Override - public int numParameters() { - return numParameters; - } - - @Override - public boolean isLeaf() { - return false; - } - - @Override - public void setIndices(int... indices) { - throw new UnsupportedOperationException("Cannot set indices for non-leaf parameter space"); - } - - - protected void setLayerOptionsBuilder(Layer.Builder builder, double[] values) { - if (dropOut != null) - builder.dropOut(dropOut.getValue(values)); - } - - - @Override - public String toString() { - return toString(", "); - } - - protected String toString(String delim) { - StringBuilder sb = new StringBuilder(); - if (dropOut != null) - sb.append("dropOut: ").append(dropOut).append(delim); - String s = sb.toString(); - - if (s.endsWith(delim)) { - //Remove final delimiter - int last = s.lastIndexOf(delim); - return s.substring(0, last); - } else - return s; - } - - @SuppressWarnings("unchecked") - public abstract static class Builder { - protected ParameterSpace dropOut; - - public T dropOut(double dropOut) { - return dropOut(new FixedValue<>(dropOut)); - } - - public T dropOut(ParameterSpace dropOut) { - return iDropOut(new DropoutSpace(dropOut)); - } - - public T iDropOut(ParameterSpace dropOut){ - this.dropOut = dropOut; - return (T) this; - } - - public abstract E build(); - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LocalResponseNormalizationLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LocalResponseNormalizationLayerSpace.java deleted file mode 100644 index eeeb5837f..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LocalResponseNormalizationLayerSpace.java +++ /dev/null @@ -1,119 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.LocalResponseNormalization; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class LocalResponseNormalizationLayerSpace extends LayerSpace { - - private ParameterSpace n; - private ParameterSpace k; - private ParameterSpace alpha; - private ParameterSpace beta; - - - private LocalResponseNormalizationLayerSpace(Builder builder) { - super(builder); - this.n = builder.n; - this.k = builder.k; - this.alpha = builder.alpha; - this.beta = builder.beta; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public LocalResponseNormalization getValue(double[] values) { - LocalResponseNormalization.Builder b = new LocalResponseNormalization.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(LocalResponseNormalization.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (n != null) - builder.n(n.getValue(values)); - if (k != null) - builder.k(k.getValue(values)); - if (alpha != null) - builder.alpha(alpha.getValue(values)); - if (beta != null) - builder.beta(beta.getValue(values)); - } - - - public static class Builder extends LayerSpace.Builder { - - private ParameterSpace n; - private ParameterSpace k; - private ParameterSpace alpha; - private ParameterSpace beta; - - - public Builder n(double n) { - return n(new FixedValue<>(n)); - } - - public Builder n(ParameterSpace n) { - this.n = n; - return this; - } - - public Builder k(double k) { - return k(new FixedValue<>(k)); - } - - public Builder k(ParameterSpace k) { - this.k = k; - return this; - } - - public Builder alpha(double alpha) { - return alpha(new FixedValue<>(alpha)); - } - - public Builder alpha(ParameterSpace alpha) { - this.alpha = alpha; - return this; - } - - public Builder beta(double beta) { - return beta(new FixedValue<>(beta)); - } - - public Builder beta(ParameterSpace beta) { - this.beta = beta; - return this; - } - - public LocalResponseNormalizationLayerSpace build() { - return new LocalResponseNormalizationLayerSpace(this); - } - - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LossLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LossLayerSpace.java deleted file mode 100644 index fc0b8c4d1..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/LossLayerSpace.java +++ /dev/null @@ -1,105 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter; -import org.deeplearning4j.arbiter.adapter.LossFunctionParameterSpaceAdapter; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.LossLayer; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.lossfunctions.ILossFunction; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public class LossLayerSpace extends LayerSpace { - - private ParameterSpace activationFunction; - protected ParameterSpace lossFunction; - - public LossLayerSpace(Builder builder){ - super(builder); - this.activationFunction = builder.activationFunction; - this.lossFunction = builder.lossFunction; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public LossLayer getValue(double[] parameterValues) { - LossLayer.Builder b = new LossLayer.Builder(); - if(activationFunction != null) - b.activation(activationFunction.getValue(parameterValues)); - if(lossFunction != null) - b.lossFunction(lossFunction.getValue(parameterValues)); - return b.build(); - } - - - public static class Builder extends LayerSpace.Builder{ - - private ParameterSpace activationFunction; - protected ParameterSpace lossFunction; - - public Builder lossFunction(LossFunctions.LossFunction lossFunction) { - return lossFunction(new FixedValue<>(lossFunction)); - } - - public Builder lossFunction(ParameterSpace lossFunction) { - return iLossFunction(new LossFunctionParameterSpaceAdapter(lossFunction)); - } - - public Builder iLossFunction(ILossFunction lossFunction) { - return iLossFunction(new FixedValue<>(lossFunction)); - } - - public Builder iLossFunction(ParameterSpace lossFunction) { - this.lossFunction = lossFunction; - return this; - } - - public Builder activation(Activation activation) { - return activation(new FixedValue<>(activation)); - } - - public Builder activation(IActivation iActivation) { - return activationFn(new FixedValue<>(iActivation)); - } - - public Builder activation(ParameterSpace activationFunction) { - return activationFn(new ActivationParameterSpaceAdapter(activationFunction)); - } - - public Builder activationFn(ParameterSpace activationFunction) { - this.activationFunction = activationFunction; - return this; - } - - @Override - public LossLayerSpace build() { - return new LossLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/OCNNLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/OCNNLayerSpace.java deleted file mode 100644 index d4fc9553b..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/OCNNLayerSpace.java +++ /dev/null @@ -1,153 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer; - - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class OCNNLayerSpace extends BaseOutputLayerSpace { - - - protected ParameterSpace nuSpace; - protected ParameterSpace initialRValue; - protected ParameterSpace hiddenLayerSize; - protected ParameterSpace windowSize; - protected ParameterSpace configureR; - - private OCNNLayerSpace(Builder builder) { - super(builder); - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - this.nuSpace = builder.nuSpace; - this.initialRValue = builder.initialRValue; - this.hiddenLayerSize = builder.hiddenLayerSize; - this.configureR = builder.configureR; - } - - - @Override - public OCNNOutputLayer getValue(double[] parameterValues) { - OCNNOutputLayer.Builder o = new OCNNOutputLayer.Builder(); - setLayerOptionsBuilder(o, parameterValues); - return o.build(); - } - - protected void setLayerOptionsBuilder(OCNNOutputLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - builder.nu(nuSpace.getValue(values)); - builder.hiddenLayerSize(hiddenLayerSize.getValue(values)); - builder.initialRValue(initialRValue.getValue(values)); - builder.configureR(configureR.getValue(values)); - builder.windowSize(windowSize.getValue(values)); - } - - - public static class Builder extends BaseOutputLayerSpace.Builder { - protected ParameterSpace nuSpace; - protected ParameterSpace initialRValue; - protected ParameterSpace hiddenLayerSize; - protected ParameterSpace windowSize; - protected ParameterSpace configureR; - - public Builder nu(ParameterSpace nuSpace) { - this.nuSpace = nuSpace; - return this; - } - - /** - * Use hiddenLayerSize instead - * @param numHiddenSpace - * @return - */ - @Deprecated - public Builder numHidden(ParameterSpace numHiddenSpace) { - return hiddenLayerSize(numHiddenSpace); - } - - /** - * Use hiddenLayerSize instead - * @param numHidden - * @return - */ - @Deprecated - public Builder numHidden(int numHidden) { - return hiddenLayerSize(numHidden); - } - - public Builder hiddenLayerSize(ParameterSpace hiddenLayerSize) { - this.hiddenLayerSize = hiddenLayerSize; - return this; - } - - public Builder hiddenLayerSize(int hiddenLayerSize) { - this.hiddenLayerSize = new FixedValue<>(hiddenLayerSize); - return this; - } - - public Builder nu(double nu) { - this.nuSpace = new FixedValue<>(nu); - return this; - } - - public Builder initialRValue(double initialRValue) { - this.initialRValue = new FixedValue<>(initialRValue); - return this; - } - - public Builder initialRValue(ParameterSpace initialRValue) { - this.initialRValue = initialRValue; - return this; - } - - public Builder windowSize(int windowSize) { - this.windowSize = new FixedValue<>(windowSize); - return this; - } - - public Builder windowSize(ParameterSpace windowSize) { - this.windowSize = windowSize; - return this; - } - - public Builder configureR(boolean configureR) { - this.configureR = new FixedValue<>(configureR); - return this; - } - - public Builder configureR(ParameterSpace configureR) { - this.configureR = configureR; - return this; - } - - - @Override - @SuppressWarnings("unchecked") - public OCNNLayerSpace build() { - return new OCNNLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/OutputLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/OutputLayerSpace.java deleted file mode 100644 index 5e6479fce..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/OutputLayerSpace.java +++ /dev/null @@ -1,71 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.OutputLayer; - -/** - * Layer hyperparameter configuration space for output layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class OutputLayerSpace extends BaseOutputLayerSpace { - - private OutputLayerSpace(Builder builder) { - super(builder); - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public OutputLayer getValue(double[] values) { - OutputLayer.Builder o = new OutputLayer.Builder(); - setLayerOptionsBuilder(o, values); - return o.build(); - } - - protected void setLayerOptionsBuilder(OutputLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - } - - public static class Builder extends BaseOutputLayerSpace.Builder { - - @Override - @SuppressWarnings("unchecked") - public OutputLayerSpace build() { - return new OutputLayerSpace(this); - } - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "OutputLayerSpace(" + super.toString(delim) + ")"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/RnnOutputLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/RnnOutputLayerSpace.java deleted file mode 100644 index 4fba80d81..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/RnnOutputLayerSpace.java +++ /dev/null @@ -1,71 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.RnnOutputLayer; - -/** - * Layer hyperparametor configuration space for RnnOutputLayer - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class RnnOutputLayerSpace extends BaseOutputLayerSpace { - - private RnnOutputLayerSpace(Builder builder) { - super(builder); - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public RnnOutputLayer getValue(double[] values) { - RnnOutputLayer.Builder b = new RnnOutputLayer.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(RnnOutputLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - return "RnnOutputLayerSpace(" + super.toString(delim) + ")"; - } - - public static class Builder extends BaseOutputLayerSpace.Builder { - - @Override - @SuppressWarnings("unchecked") - public RnnOutputLayerSpace build() { - return new RnnOutputLayerSpace(this); - } - } - - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/SeparableConvolution2DLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/SeparableConvolution2DLayerSpace.java deleted file mode 100644 index fd0f45dd3..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/SeparableConvolution2DLayerSpace.java +++ /dev/null @@ -1,101 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.nn.api.layers.LayerConstraint; -import org.deeplearning4j.nn.conf.layers.SeparableConvolution2D; - -import java.util.Arrays; -import java.util.List; - -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization -public class SeparableConvolution2DLayerSpace extends BaseConvolutionLayerSpace { - - private ParameterSpace depthMultiplier; - protected ParameterSpace> pointWiseConstraints; - - protected SeparableConvolution2DLayerSpace(Builder builder){ - super(builder); - this.depthMultiplier = builder.depthMultiplier; - this.pointWiseConstraints = builder.pointWiseConstraints; - } - - @Override - public SeparableConvolution2D getValue(double[] parameterValues) { - SeparableConvolution2D.Builder b = new SeparableConvolution2D.Builder(); - setLayerOptionsBuilder(b, parameterValues); - return b.build(); - } - - protected void setLayerOptionsBuilder(SeparableConvolution2D.Builder builder, double[] values){ - super.setLayerOptionsBuilder(builder, values); - if (kernelSize != null) - builder.kernelSize(kernelSize.getValue(values)); - if (stride != null) - builder.stride(stride.getValue(values)); - if (padding != null) - builder.padding(padding.getValue(values)); - if (convolutionMode != null) - builder.convolutionMode(convolutionMode.getValue(values)); - if (hasBias != null) - builder.hasBias(hasBias.getValue(values)); - if (depthMultiplier != null) - builder.depthMultiplier(depthMultiplier.getValue(values)); - if (pointWiseConstraints != null){ - List c = pointWiseConstraints.getValue(values); - if(c != null){ - builder.constrainPointWise(c.toArray(new LayerConstraint[0])); - } - } - } - - - public static class Builder extends BaseConvolutionLayerSpace.Builder{ - private ParameterSpace depthMultiplier; - protected ParameterSpace> pointWiseConstraints; - - public Builder constrainPointWise(LayerConstraint... constraints){ - return constrainPointWise(new FixedValue>(Arrays.asList(constraints))); - } - - public Builder constrainPointWise(ParameterSpace> constraints){ - this.pointWiseConstraints = constraints; - return this; - } - - public Builder depthMultiplier(int depthMultiplier){ - return depthMultiplier(new FixedValue<>(depthMultiplier)); - } - - public Builder depthMultiplier(ParameterSpace depthMultiplier){ - this.depthMultiplier = depthMultiplier; - return this; - } - - public SeparableConvolution2DLayerSpace build(){ - return new SeparableConvolution2DLayerSpace(this); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/SubsamplingLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/SubsamplingLayerSpace.java deleted file mode 100644 index 5f1e32dab..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/SubsamplingLayerSpace.java +++ /dev/null @@ -1,208 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.ConvolutionMode; -import org.deeplearning4j.nn.conf.layers.SubsamplingLayer; - -/** - * Layer hyperparameter configuration space for subsampling layers - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class SubsamplingLayerSpace extends LayerSpace { - - protected ParameterSpace convolutionMode; - protected ParameterSpace poolingType; - protected ParameterSpace dilation; - protected ParameterSpace kernelSize; - protected ParameterSpace stride; - protected ParameterSpace padding; - protected ParameterSpace pnorm; - protected ParameterSpace eps; - - private SubsamplingLayerSpace(Builder builder) { - super(builder); - this.convolutionMode = builder.convolutionMode; - this.poolingType = builder.poolingType; - this.kernelSize = builder.kernelSize; - this.dilation = builder.dilation; - this.stride = builder.stride; - this.padding = builder.padding; - this.pnorm = builder.pnorm; - this.eps = builder.eps; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public SubsamplingLayer getValue(double[] values) { - SubsamplingLayer.Builder b = new SubsamplingLayer.Builder(); - setLayerOptionsBuilder(b, values); - return b.build(); - } - - protected void setLayerOptionsBuilder(SubsamplingLayer.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (convolutionMode != null) - builder.convolutionMode(convolutionMode.getValue(values)); - if (poolingType != null) - builder.poolingType(poolingType.getValue(values)); - if (dilation !=null) - builder.dilation(dilation.getValue(values)); - if (kernelSize != null) - builder.kernelSize(kernelSize.getValue(values)); - if (stride != null) - builder.stride(stride.getValue(values)); - if (padding != null) - builder.padding(padding.getValue(values)); - if(pnorm != null) - builder.pnorm(pnorm.getValue(values)); - if(eps != null) - builder.eps(eps.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder("SubsamplingLayerSpace("); - if (convolutionMode != null) - sb.append("convolutionMode: ").append(convolutionMode).append(delim); - if (poolingType != null) - sb.append("poolingType: ").append(poolingType).append(delim); - if (dilation != null) - sb.append("dilation: ").append(dilation).append(delim); - if (kernelSize != null) - sb.append("kernelSize: ").append(kernelSize).append(delim); - if (stride != null) - sb.append("stride: ").append(stride).append(delim); - if (padding != null) - sb.append("padding: ").append(padding).append(delim); - if (pnorm != null) - sb.append("pnorm: ").append(pnorm).append(delim); - if (eps != null) - sb.append("eps: ").append(eps).append(delim); - sb.append(super.toString(delim)).append(")"); - return sb.toString(); - } - - - public static class Builder extends FeedForwardLayerSpace.Builder { - - protected ParameterSpace convolutionMode; - protected ParameterSpace poolingType; - protected ParameterSpace dilation; - protected ParameterSpace kernelSize; - protected ParameterSpace stride; - protected ParameterSpace padding; - protected ParameterSpace pnorm; - protected ParameterSpace eps; - - public Builder convolutionMode(ConvolutionMode convolutionMode){ - return convolutionMode(new FixedValue<>(convolutionMode)); - } - - public Builder convolutionMode(ParameterSpace convolutionMode){ - this.convolutionMode = convolutionMode; - return this; - } - - public Builder poolingType(SubsamplingLayer.PoolingType poolingType) { - return poolingType(new FixedValue<>(poolingType)); - } - - public Builder poolingType(ParameterSpace poolingType) { - this.poolingType = poolingType; - return this; - } - - public Builder dilation(int... dilation) { - return dilation(new FixedValue<>(dilation)); - } - - public Builder dilation(ParameterSpace dilation) { - this.dilation = dilation; - return this; - } - - public Builder kernelSize(int... kernelSize) { - return kernelSize(new FixedValue<>(kernelSize)); - } - - public Builder kernelSize(ParameterSpace kernelSize) { - this.kernelSize = kernelSize; - return this; - } - - public Builder stride(int... stride) { - return stride(new FixedValue(stride)); - } - - public Builder stride(ParameterSpace stride) { - this.stride = stride; - return this; - } - - public Builder padding(int... padding) { - return padding(new FixedValue(padding)); - } - - public Builder padding(ParameterSpace padding) { - this.padding = padding; - return this; - } - - public Builder pnorm(int pnorm){ - return pnorm(new FixedValue<>(pnorm)); - } - - public Builder pnorm(ParameterSpace pnorm){ - this.pnorm = pnorm; - return this; - } - - public Builder eps(double eps){ - return eps(new FixedValue<>(eps)); - } - - public Builder eps(ParameterSpace eps){ - this.eps = eps; - return this; - } - - @SuppressWarnings("unchecked") - public SubsamplingLayerSpace build() { - return new SubsamplingLayerSpace(this); - } - - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/VariationalAutoencoderLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/VariationalAutoencoderLayerSpace.java deleted file mode 100644 index 2138ea8ec..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/VariationalAutoencoderLayerSpace.java +++ /dev/null @@ -1,182 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper; -import org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution; -import org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.lossfunctions.ILossFunction; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -/** - * Layer space for {@link VariationalAutoencoder} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization -public class VariationalAutoencoderLayerSpace extends BasePretrainNetworkLayerSpace { - - private ParameterSpace encoderLayerSizes; - private ParameterSpace decoderLayerSizes; - private ParameterSpace outputDistribution; - private ParameterSpace pzxActivationFn; - private ParameterSpace numSamples; - - protected VariationalAutoencoderLayerSpace(Builder builder) { - super(builder); - - this.encoderLayerSizes = builder.encoderLayerSizes; - this.decoderLayerSizes = builder.decoderLayerSizes; - this.outputDistribution = builder.outputDistribution; - this.pzxActivationFn = builder.pzxActivationFn; - this.numSamples = builder.numSamples; - - this.numParameters = LeafUtils.countUniqueParameters(collectLeaves()); - } - - @Override - public VariationalAutoencoder getValue(double[] parameterValues) { - VariationalAutoencoder.Builder b = new VariationalAutoencoder.Builder(); - setLayerOptionsBuilder(b, parameterValues); - return b.build(); - } - - protected void setLayerOptionsBuilder(VariationalAutoencoder.Builder builder, double[] values) { - super.setLayerOptionsBuilder(builder, values); - if (encoderLayerSizes != null) - builder.encoderLayerSizes(encoderLayerSizes.getValue(values)); - if (decoderLayerSizes != null) - builder.decoderLayerSizes(decoderLayerSizes.getValue(values)); - if (outputDistribution != null) - builder.reconstructionDistribution(outputDistribution.getValue(values)); - if (pzxActivationFn != null) - builder.pzxActivationFn(pzxActivationFn.getValue(values)); - if (numSamples != null) - builder.numSamples(numSamples.getValue(values)); - } - - @Override - public String toString() { - return toString(", "); - } - - @Override - public String toString(String delim) { - StringBuilder sb = new StringBuilder("VariationalAutoencoderLayerSpace("); - if (encoderLayerSizes != null) - sb.append("encoderLayerSizes: ").append(encoderLayerSizes).append(delim); - if (decoderLayerSizes != null) - sb.append("decoderLayerSizes: ").append(decoderLayerSizes).append(delim); - if (outputDistribution != null) - sb.append("reconstructionDistribution: ").append(outputDistribution).append(delim); - if (pzxActivationFn != null) - sb.append("pzxActivationFn: ").append(pzxActivationFn).append(delim); - if (numSamples != null) - sb.append("numSamples: ").append(numSamples).append(delim); - sb.append(super.toString(delim)).append(")"); - return sb.toString(); - } - - public static class Builder extends BasePretrainNetworkLayerSpace.Builder { - - private ParameterSpace encoderLayerSizes; - private ParameterSpace decoderLayerSizes; - private ParameterSpace outputDistribution; - private ParameterSpace pzxActivationFn; - private ParameterSpace numSamples; - - - public Builder encoderLayerSizes(int... encoderLayerSizes) { - return encoderLayerSizes(new FixedValue<>(encoderLayerSizes)); - } - - public Builder encoderLayerSizes(ParameterSpace encoderLayerSizes) { - this.encoderLayerSizes = encoderLayerSizes; - return this; - } - - public Builder decoderLayerSizes(int... decoderLayerSizes) { - return decoderLayerSizes(new FixedValue<>(decoderLayerSizes)); - } - - public Builder decoderLayerSizes(ParameterSpace decoderLayerSizes) { - this.decoderLayerSizes = decoderLayerSizes; - return this; - } - - public Builder reconstructionDistribution(ReconstructionDistribution distribution) { - return reconstructionDistribution(new FixedValue<>(distribution)); - } - - public Builder reconstructionDistribution(ParameterSpace distribution) { - this.outputDistribution = distribution; - return this; - } - - public Builder lossFunction(IActivation outputActivationFn, LossFunctions.LossFunction lossFunction) { - return lossFunction(outputActivationFn, lossFunction.getILossFunction()); - } - - public Builder lossFunction(Activation outputActivationFn, LossFunctions.LossFunction lossFunction) { - return lossFunction(outputActivationFn.getActivationFunction(), lossFunction.getILossFunction()); - } - - public Builder lossFunction(IActivation outputActivationFn, ILossFunction lossFunction) { - return reconstructionDistribution(new LossFunctionWrapper(outputActivationFn, lossFunction)); - } - - public Builder pzxActivationFn(IActivation activationFunction) { - return pzxActivationFn(new FixedValue<>(activationFunction)); - } - - public Builder pzxActivationFn(ParameterSpace activationFunction) { - this.pzxActivationFn = activationFunction; - return this; - } - - public Builder pzxActivationFunction(Activation activation) { - return pzxActivationFn(activation.getActivationFunction()); - } - - public Builder numSamples(int numSamples) { - return numSamples(new FixedValue<>(numSamples)); - } - - public Builder numSamples(ParameterSpace numSamples) { - this.numSamples = numSamples; - return this; - } - - - @Override - public E build() { - return (E) new VariationalAutoencoderLayerSpace(this); - } - - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/fixed/FixedLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/fixed/FixedLayerSpace.java deleted file mode 100644 index fb1afc299..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/layers/fixed/FixedLayerSpace.java +++ /dev/null @@ -1,71 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.layers.fixed; - -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.layers.LayerSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.nn.conf.layers.Layer; - -import java.util.Collections; -import java.util.List; - -/** - * A layer space that wraps a DL4J layer, without any optimizable hyperparameters - * - * @param Type of layer - * - * @author Alex Black - */ -@AllArgsConstructor -@NoArgsConstructor -@Data -@EqualsAndHashCode(callSuper = false) -public class FixedLayerSpace extends LayerSpace { - - protected T layer; - - @Override - public T getValue(double[] parameterValues) { - return (T)layer.clone(); - } - - @Override - public int numParameters() { - return 0; - } - - @Override - public boolean isLeaf() { - return true; - } - - @Override - public void setIndices(int[] idxs){ - if(idxs != null && idxs.length > 0){ - throw new IllegalStateException("Cannot set indices: no parameters"); - } - } - - @Override - public List collectLeaves() { - return Collections.singletonList(this); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/listener/DL4JArbiterStatusReportingListener.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/listener/DL4JArbiterStatusReportingListener.java deleted file mode 100644 index c6359822d..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/listener/DL4JArbiterStatusReportingListener.java +++ /dev/null @@ -1,48 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.listener; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; -import org.deeplearning4j.nn.api.Model; -import org.deeplearning4j.optimize.api.BaseTrainingListener; - -import java.util.List; - -/** - * A simple DL4J Iteration listener that calls Arbiter's status listeners - * - * @author Alex Black - */ -@AllArgsConstructor -public class DL4JArbiterStatusReportingListener extends BaseTrainingListener { - - private List statusListeners; - private CandidateInfo candidateInfo; - - @Override - public void iterationDone(Model model, int iteration, int epoch) { - if (statusListeners == null) { - return; - } - - for (StatusListener sl : statusListeners) { - sl.onCandidateIteration(candidateInfo, model, iteration); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/saver/local/FileModelSaver.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/saver/local/FileModelSaver.java deleted file mode 100644 index 740418b4c..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/saver/local/FileModelSaver.java +++ /dev/null @@ -1,147 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.saver.local; - -import lombok.AllArgsConstructor; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import lombok.NonNull; -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.io.FileUtils; -import org.apache.commons.io.FilenameUtils; -import org.deeplearning4j.arbiter.DL4JConfiguration; -import org.deeplearning4j.arbiter.GraphConfiguration; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.api.Model; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.deeplearning4j.util.ModelSerializer; -import org.nd4j.shade.jackson.annotation.JsonCreator; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.io.*; -import java.util.Arrays; -import java.util.Collections; -import java.util.List; - -/** - * Basic MultiLayerNetwork saver. Saves config, parameters and score to: baseDir/0/, baseDir/1/, etc - * where index is given by OptimizationResult.getIndex() - * - * @author Alex Black - */ -@Slf4j -@NoArgsConstructor -@AllArgsConstructor -@EqualsAndHashCode -public class FileModelSaver implements ResultSaver { - @JsonProperty - private String path; - private File fPath; - - @JsonCreator - public FileModelSaver(@NonNull String path) { - this(new File(path)); - } - - public FileModelSaver(@NonNull File file){ - this.path = file.getPath(); - this.fPath = file; - - if(!fPath.exists()){ - fPath.mkdirs(); - } else if (!fPath.isDirectory()) { - throw new IllegalArgumentException("Invalid path: exists and is not directory. " + path); - } - - log.info("FileModelSaver saving networks to local directory: {}", path); - } - - @Override - public ResultReference saveModel(OptimizationResult result, Object modelResult) throws IOException { - String dir = new File(path, result.getIndex() + "/").getAbsolutePath(); - - File f = new File(dir); - f.mkdir(); - - File modelFile = new File(FilenameUtils.concat(dir, "model.bin")); - File scoreFile = new File(FilenameUtils.concat(dir, "score.txt")); - File additionalResultsFile = new File(FilenameUtils.concat(dir, "additionalResults.bin")); - File esConfigFile = new File(FilenameUtils.concat(dir, "earlyStoppingConfig.bin")); - File numEpochsFile = new File(FilenameUtils.concat(dir, "numEpochs.txt")); - - FileUtils.writeStringToFile(scoreFile, String.valueOf(result.getScore())); - - Model m = (Model) modelResult; - ModelSerializer.writeModel(m, modelFile, true); - - - Object additionalResults = result.getModelSpecificResults(); - if (additionalResults instanceof Serializable) { - try (ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream(additionalResultsFile))) { - oos.writeObject(additionalResults); - } - } - - //Write early stopping configuration (if present) to file: - int nEpochs; - EarlyStoppingConfiguration esc; - if (result.getCandidate().getValue() instanceof DL4JConfiguration) { - DL4JConfiguration c = ((DL4JConfiguration) result.getCandidate().getValue()); - esc = c.getEarlyStoppingConfiguration(); - nEpochs = c.getNumEpochs(); - } else { - GraphConfiguration c = ((GraphConfiguration) result.getCandidate().getValue()); - esc = c.getEarlyStoppingConfiguration(); - nEpochs = c.getNumEpochs(); - } - - - if (esc != null) { - try (ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream(esConfigFile))) { - oos.writeObject(esc); - } - } else { - FileUtils.writeStringToFile(numEpochsFile, String.valueOf(nEpochs)); - } - - log.debug("Deeplearning4j model result (id={}, score={}) saved to directory: {}", result.getIndex(), - result.getScore(), dir); - - boolean isGraph = m instanceof ComputationGraph; - return new LocalFileNetResultReference(result.getIndex(), dir, isGraph, modelFile, scoreFile, - additionalResultsFile, esConfigFile, numEpochsFile, result.getCandidate()); - } - - @Override - public List> getSupportedCandidateTypes() { - return Collections.>singletonList(Object.class); - } - - @Override - public List> getSupportedModelTypes() { - return Arrays.>asList(MultiLayerNetwork.class, ComputationGraph.class); - } - - @Override - public String toString() { - return "FileModelSaver(path=" + path + ")"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/saver/local/LocalFileNetResultReference.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/saver/local/LocalFileNetResultReference.java deleted file mode 100644 index db46e011e..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/saver/local/LocalFileNetResultReference.java +++ /dev/null @@ -1,103 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.saver.local; - -import lombok.AllArgsConstructor; -import org.apache.commons.io.FileUtils; -import org.deeplearning4j.arbiter.DL4JConfiguration; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.nn.api.Model; -import org.deeplearning4j.util.ModelSerializer; - -import java.io.File; -import java.io.FileInputStream; -import java.io.IOException; -import java.io.ObjectInputStream; - -/** - * Result reference for MultiLayerNetworks and ComputationGraphs saved to local file system - */ -@AllArgsConstructor -public class LocalFileNetResultReference implements ResultReference { - - private int index; - private String dir; - private boolean isGraph; - private File modelFile; - private File scoreFile; - private File additionalResultsFile; - private File esConfigFile; - private File numEpochsFile; - private Candidate candidate; - - @Override - public OptimizationResult getResult() throws IOException { - - - String scoreStr = FileUtils.readFileToString(scoreFile); - //TODO: properly parsing. Probably want to store additional info other than just score... - double d = Double.parseDouble(scoreStr); - - EarlyStoppingConfiguration earlyStoppingConfiguration = null; - if (esConfigFile != null && esConfigFile.exists()) { - try (ObjectInputStream ois = new ObjectInputStream(new FileInputStream(esConfigFile))) { - earlyStoppingConfiguration = (EarlyStoppingConfiguration) ois.readObject(); - } catch (ClassNotFoundException e) { - throw new RuntimeException("Error loading early stopping configuration", e); - } - } - int nEpochs = 1; - if (numEpochsFile != null && numEpochsFile.exists()) { - String numEpochs = FileUtils.readFileToString(numEpochsFile); - nEpochs = Integer.parseInt(numEpochs); - } - - - - Object additionalResults; - if (additionalResultsFile.exists()) { - try (ObjectInputStream ois = new ObjectInputStream(new FileInputStream(additionalResultsFile))) { - additionalResults = ois.readObject(); - } catch (ClassNotFoundException e) { - throw new RuntimeException("Error loading additional results", e); - } - } else { - additionalResults = null; - } - - return new OptimizationResult(candidate, d, index, additionalResults, null, this); - } - - @Override - public Object getResultModel() throws IOException { - Model m; - if (isGraph) { - m = ModelSerializer.restoreComputationGraph(modelFile, false); - } else { - m = ModelSerializer.restoreMultiLayerNetwork(modelFile, false); - } - return m; - } - - @Override - public String toString() { - return "LocalFileNetResultReference(" + dir + ")"; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/RegressionValue.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/RegressionValue.java deleted file mode 100644 index 304750dc8..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/RegressionValue.java +++ /dev/null @@ -1,32 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring; - -/** - * Enumeration used to select the type of regression statistics to optimize on, with the various regression score functions - * - MSE: mean squared error
- * - MAE: mean absolute error
- * - RMSE: root mean squared error
- * - RSE: relative squared error
- * - CorrCoeff: correlation coefficient
- * - * @deprecated Use {@link org.deeplearning4j.eval.RegressionEvaluation.Metric} - */ -@Deprecated -public enum RegressionValue { - MSE, MAE, RMSE, RSE, CorrCoeff -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/ScoreFunctions.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/ScoreFunctions.java deleted file mode 100644 index f9e57a597..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/ScoreFunctions.java +++ /dev/null @@ -1,66 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring; - - -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction; -import org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction; - -/** - * ScoreFunctions provides static methods for getting score functions for DL4J MultiLayerNetwork and ComputationGraph - * - * @author Alex Black - */ -public class ScoreFunctions { - - private ScoreFunctions() {} - - /** - * Calculate the loss (score/loss function value) on a test set, for a MultiLayerNetwork - * - * @param average Average (divide by number of examples) - */ - public static ScoreFunction testSetLoss(boolean average) { - return new TestSetLossScoreFunction(average); - } - - /** - * Calculate the accuracy on a test set, for a MultiLayerNetwork - */ - public static ScoreFunction testSetAccuracy() { - return new TestSetAccuracyScoreFunction(); - } - - - /** - * Calculate the f1 score on a test set - */ - public static ScoreFunction testSetF1() { - return new TestSetF1ScoreFunction(); - } - - /** - * Calculate a regression value (MSE, MAE etc) on a test set - */ - public static ScoreFunction testSetRegression(RegressionValue regressionValue) { - return new TestSetRegressionScoreFunction(regressionValue); - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/BaseNetScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/BaseNetScoreFunction.java deleted file mode 100644 index 2de4d9ad1..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/BaseNetScoreFunction.java +++ /dev/null @@ -1,102 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -import java.util.Arrays; -import java.util.List; -import java.util.Map; -import java.util.Properties; - -/** - * Created by Alex on 23/07/2017. - */ -@EqualsAndHashCode -public abstract class BaseNetScoreFunction implements ScoreFunction { - - - @Override - public double score(Object model, DataProvider dataProvider, Map dataParameters) { - Object testData = dataProvider.testData(dataParameters); - return score(model, testData); - } - - @Override - public double score(Object model, Class dataSource, Properties dataSourceProperties) { - DataSource ds; - try{ - ds = dataSource.newInstance(); - if (dataSourceProperties != null) { - ds.configure(dataSourceProperties); - } - } catch (Exception e){ - throw new RuntimeException("Error creating DataSource instance - missing no-arg constructor?", e); - } - return score(model, ds.testData()); - } - - protected double score(Object model, Object testData){ - if (model instanceof MultiLayerNetwork) { - if (testData instanceof DataSetIterator) { - return score((MultiLayerNetwork) model, (DataSetIterator) testData); - } else if(testData instanceof MultiDataSetIterator){ - return score((MultiLayerNetwork) model, (MultiDataSetIterator) testData); - } else if(testData instanceof DataSetIteratorFactory){ - return score((MultiLayerNetwork)model, ((DataSetIteratorFactory)testData).create()); - } else { - throw new RuntimeException("Unknown type of data: " + testData.getClass()); - } - } else { - if (testData instanceof DataSetIterator) { - return score((ComputationGraph) model, (DataSetIterator) testData); - } else if(testData instanceof DataSetIteratorFactory){ - return score((ComputationGraph) model, ((DataSetIteratorFactory)testData).create()); - } else if(testData instanceof MultiDataSetIterator) { - return score((ComputationGraph) model, (MultiDataSetIterator) testData); - } else { - throw new RuntimeException("Unknown type of data: " + testData.getClass()); - } - } - } - - @Override - public List> getSupportedModelTypes() { - return Arrays.>asList(MultiLayerNetwork.class, ComputationGraph.class); - } - - @Override - public List> getSupportedDataTypes() { - return Arrays.>asList(DataSetIterator.class, MultiDataSetIterator.class); - } - - public abstract double score(MultiLayerNetwork net, DataSetIterator iterator); - - public abstract double score(MultiLayerNetwork net, MultiDataSetIterator iterator); - - public abstract double score(ComputationGraph graph, DataSetIterator iterator); - - public abstract double score(ComputationGraph graph, MultiDataSetIterator iterator); -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/EvaluationScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/EvaluationScoreFunction.java deleted file mode 100644 index 7e71425d5..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/EvaluationScoreFunction.java +++ /dev/null @@ -1,86 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.*; -import org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.evaluation.classification.Evaluation; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -/** - * Score function that calculates an evaluation {@link Evaluation.Metric} on the test set for a - * {@link MultiLayerNetwork} or {@link ComputationGraph} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //JSON -public class EvaluationScoreFunction extends BaseNetScoreFunction { - - protected Evaluation.Metric metric; - - /** - * @param metric Evaluation metric to calculate - */ - public EvaluationScoreFunction(@NonNull org.deeplearning4j.eval.Evaluation.Metric metric) { - this(metric.toNd4j()); - } - - /** - * @param metric Evaluation metric to calculate - */ - public EvaluationScoreFunction(@NonNull Evaluation.Metric metric) { - this.metric = metric; - } - - @Override - public String toString() { - return "EvaluationScoreFunction(metric=" + metric + ")"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - Evaluation e = net.evaluate(iterator); - return e.scoreForMetric(metric); - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - return score(net, new MultiDataSetWrapperIterator(iterator)); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - Evaluation e = graph.evaluate(iterator); - return e.scoreForMetric(metric); - } - - @Override - public double score(ComputationGraph graph, MultiDataSetIterator iterator) { - Evaluation e = graph.evaluate(iterator); - return e.scoreForMetric(metric); - } - - @Override - public boolean minimize() { - return false; //Want to maximize all evaluation metrics: Accuracy, F1, precision, recall, g-measure, mcc - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/ROCScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/ROCScoreFunction.java deleted file mode 100644 index 379cb9632..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/ROCScoreFunction.java +++ /dev/null @@ -1,122 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.*; -import org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.evaluation.classification.ROC; -import org.nd4j.evaluation.classification.ROCBinary; -import org.nd4j.evaluation.classification.ROCMultiClass; -import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -/** - * Score function that calculates AUC (area under ROC curve) or AUPRC (area under precision/recall curve) on a test set - * for a {@link MultiLayerNetwork} or {@link ComputationGraph} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //JSON -public class ROCScoreFunction extends BaseNetScoreFunction { - - /** - * Type of ROC evaluation to perform:
- * ROC: use {@link ROC} to perform evaluation (single output binary classification)
- * BINARY: use {@link ROCBinary} to perform evaluation (multi-output/multi-task binary classification)
- * MULTICLASS: use {@link ROCMultiClass} to perform evaluation (1 vs. all multi-class classification) - * - */ - public enum ROCType {ROC, BINARY, MULTICLASS} - - /** - * Metric to calculate.
- * AUC: Area under ROC curve
- * AUPRC: Area under precision/recall curve - */ - public enum Metric {AUC, AUPRC} - - protected ROCType type; - protected Metric metric; - - /** - * @param type ROC type to use for evaluation - * @param metric Evaluation metric to calculate - */ - public ROCScoreFunction(@NonNull ROCType type, @NonNull Metric metric) { - this.type = type; - this.metric = metric; - } - - @Override - public String toString() { - return "ROCScoreFunction(type=" + type + ",metric=" + metric + ")"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - switch (type){ - case ROC: - ROC r = net.evaluateROC(iterator); - return metric == Metric.AUC ? r.calculateAUC() : r.calculateAUCPR(); - case BINARY: - ROCBinary r2 = net.doEvaluation(iterator, new ROCBinary())[0]; - return metric == Metric.AUC ? r2.calculateAverageAuc() : r2.calculateAverageAUCPR(); - case MULTICLASS: - ROCMultiClass r3 = net.evaluateROCMultiClass(iterator); - return metric == Metric.AUC ? r3.calculateAverageAUC() : r3.calculateAverageAUCPR(); - default: - throw new RuntimeException("Unknown type: " + type); - } - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - return score(net, new MultiDataSetWrapperIterator(iterator)); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - return score(graph, new MultiDataSetIteratorAdapter(iterator)); - } - - @Override - public double score(ComputationGraph net, MultiDataSetIterator iterator) { - switch (type){ - case ROC: - ROC r = net.evaluateROC(iterator); - return metric == Metric.AUC ? r.calculateAUC() : r.calculateAUCPR(); - case BINARY: - ROCBinary r2 = net.doEvaluation(iterator, new ROCBinary())[0]; - return metric == Metric.AUC ? r2.calculateAverageAuc() : r2.calculateAverageAUCPR(); - case MULTICLASS: - ROCMultiClass r3 = net.evaluateROCMultiClass(iterator, 0); - return metric == Metric.AUC ? r3.calculateAverageAUC() : r3.calculateAverageAUCPR(); - default: - throw new RuntimeException("Unknown type: " + type); - } - } - - @Override - public boolean minimize() { - return false; //Want to maximize all evaluation metrics: Accuracy, F1, precision, recall, g-measure, mcc - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/RegressionScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/RegressionScoreFunction.java deleted file mode 100644 index 51fcd9898..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/RegressionScoreFunction.java +++ /dev/null @@ -1,92 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.*; -import org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.evaluation.regression.RegressionEvaluation; -import org.nd4j.evaluation.regression.RegressionEvaluation.Metric; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -/** - * Score function for regression (including multi-label regression) for a MultiLayerNetwork or ComputationGraph - * on a test set. Supports all regression metrics: {@link Metric} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For JSON -public class RegressionScoreFunction extends BaseNetScoreFunction { - - protected Metric metric; - - public RegressionScoreFunction(@NonNull org.deeplearning4j.eval.RegressionEvaluation.Metric metric) { - this(metric.toNd4j()); - } - - public RegressionScoreFunction(@NonNull Metric metric) { - this.metric = metric; - } - - @Override - public boolean minimize() { - switch (metric) { - case MSE: - case MAE: - case RMSE: - case RSE: - return true; - case PC: - case R2: - return false; - default: - throw new IllegalStateException("Unknown metric: " + metric); - } - } - - @Override - public String toString() { - return "RegressionScoreFunction(metric=" + metric + ")"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - RegressionEvaluation e = net.evaluateRegression(iterator); - return e.scoreForMetric(metric); - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - return score(net, new MultiDataSetWrapperIterator(iterator)); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - RegressionEvaluation e = graph.evaluateRegression(iterator); - return e.scoreForMetric(metric); - } - - @Override - public double score(ComputationGraph graph, MultiDataSetIterator iterator) { - RegressionEvaluation e = graph.evaluateRegression(iterator); - return e.scoreForMetric(metric); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetAccuracyScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetAccuracyScoreFunction.java deleted file mode 100644 index 34b051663..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetAccuracyScoreFunction.java +++ /dev/null @@ -1,72 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.eval.Evaluation; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -/** - * Score function that calculates the accuracy on a - * test set for a {@link MultiLayerNetwork} or {@link ComputationGraph} - * - * @author Alex Black - * @deprecated Use {@link EvaluationScoreFunction} - */ -@Data -@EqualsAndHashCode(callSuper = true) -@Deprecated -public class TestSetAccuracyScoreFunction extends BaseNetScoreFunction { - - - @Override - public String toString() { - return "TestSetAccuracyScoreFunction()"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - Evaluation e = net.evaluate(iterator); - return e.accuracy(); - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - throw new UnsupportedOperationException("Cannot evaluate MultiLayerNetwork on MultiDataSetIterator"); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - Evaluation e = graph.evaluate(iterator); - return e.accuracy(); - } - - @Override - public double score(ComputationGraph graph, MultiDataSetIterator iterator) { - Evaluation e = graph.evaluate(iterator); - return e.accuracy(); - } - - @Override - public boolean minimize() { - return false; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetF1ScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetF1ScoreFunction.java deleted file mode 100644 index 24516a1d7..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetF1ScoreFunction.java +++ /dev/null @@ -1,72 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.eval.Evaluation; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -/** - * Score function that calculates the F1 score - * on a test set for a {@link MultiLayerNetwork} or {@link ComputationGraph} - * - * @author Alex Black - * @deprecated Use {@link EvaluationScoreFunction} - */ -@Data -@EqualsAndHashCode(callSuper = true) -@Deprecated -public class TestSetF1ScoreFunction extends BaseNetScoreFunction { - - @Override - public boolean minimize() { - return false; //false -> maximize - } - - - @Override - public String toString() { - return "TestSetF1ScoreFunction"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - Evaluation e = net.evaluate(iterator); - return e.f1(); - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - throw new UnsupportedOperationException("Cannot evaluate MultiLayerNetwork on MultiDataSetIterator"); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - Evaluation e = graph.evaluate(iterator); - return e.f1(); - } - - @Override - public double score(ComputationGraph graph, MultiDataSetIterator iterator) { - Evaluation e = graph.evaluate(iterator); - return e.f1(); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetLossScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetLossScoreFunction.java deleted file mode 100644 index 9a4f38541..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetLossScoreFunction.java +++ /dev/null @@ -1,78 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.Data; -import lombok.EqualsAndHashCode; -import org.deeplearning4j.arbiter.scoring.util.ScoreUtil; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -/** - * Score function that calculates the test set loss - * on a test set for a {@link MultiLayerNetwork} or {@link ComputationGraph} - * - * @author Alex Black - */ -@Data -@EqualsAndHashCode(callSuper = false) -public class TestSetLossScoreFunction extends BaseNetScoreFunction { - @JsonProperty - private final boolean average; - - public TestSetLossScoreFunction() { - this(true); - } - - public TestSetLossScoreFunction(boolean average) { - this.average = average; - } - - - @Override - public boolean minimize() { - return true; - } - - @Override - public String toString() { - return "TestSetLossScoreFunction()"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - return ScoreUtil.score(net, iterator, average); - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - throw new UnsupportedOperationException("Cannot evaluate MultiLayerNetwork on MultiDataSetIterator"); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - return ScoreUtil.score(graph, iterator, average); - } - - @Override - public double score(ComputationGraph graph, MultiDataSetIterator iterator) { - return ScoreUtil.score(graph, iterator, average); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetRegressionScoreFunction.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetRegressionScoreFunction.java deleted file mode 100644 index 0a27cea4e..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/impl/TestSetRegressionScoreFunction.java +++ /dev/null @@ -1,85 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.impl; - -import lombok.AccessLevel; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; -import org.deeplearning4j.arbiter.scoring.RegressionValue; -import org.deeplearning4j.arbiter.scoring.util.ScoreUtil; -import org.deeplearning4j.eval.RegressionEvaluation; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; - -/** - * Score function for regression (including multi-label regression) for a MultiLayerNetwork or ComputationGraph - * on a test set - * - * @author Alex Black - * @deprecated Use {@link RegressionScoreFunction} - */ -@Data -@EqualsAndHashCode(callSuper = true) -@NoArgsConstructor(access = AccessLevel.PROTECTED) //For JSON -@Deprecated -public class TestSetRegressionScoreFunction extends BaseNetScoreFunction { - private RegressionValue regressionValue; - - /** - * @param regressionValue The type of evaluation to do: MSE, MAE, RMSE, etc - */ - public TestSetRegressionScoreFunction(RegressionValue regressionValue) { - this.regressionValue = regressionValue; - } - - - @Override - public boolean minimize() { - return regressionValue != RegressionValue.CorrCoeff; //Maximize correlation coefficient, minimize the remaining ones - } - - @Override - public String toString() { - return "TestSetRegressionScoreFunction(type=" + regressionValue + ")"; - } - - @Override - public double score(MultiLayerNetwork net, DataSetIterator iterator) { - RegressionEvaluation e = net.evaluateRegression(iterator); - return ScoreUtil.getScoreFromRegressionEval(e, regressionValue); - } - - @Override - public double score(MultiLayerNetwork net, MultiDataSetIterator iterator) { - throw new UnsupportedOperationException("Cannot evaluate MultiLayerNetwork on MultiDataSetIterator"); - } - - @Override - public double score(ComputationGraph graph, DataSetIterator iterator) { - RegressionEvaluation e = graph.evaluateRegression(iterator); - return ScoreUtil.getScoreFromRegressionEval(e, regressionValue); - } - - @Override - public double score(ComputationGraph graph, MultiDataSetIterator iterator) { - RegressionEvaluation e = graph.evaluateRegression(iterator); - return ScoreUtil.getScoreFromRegressionEval(e, regressionValue); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/util/ScoreUtil.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/util/ScoreUtil.java deleted file mode 100644 index 303defe35..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/scoring/util/ScoreUtil.java +++ /dev/null @@ -1,328 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.scoring.util; - -import org.deeplearning4j.arbiter.scoring.RegressionValue; -import org.deeplearning4j.eval.Evaluation; -import org.deeplearning4j.eval.RegressionEvaluation; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.dataset.DataSet; -import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter; -import org.nd4j.linalg.dataset.api.MultiDataSet; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIteratorFactory; - - - -/** - * Various utilities for functions used in arbiter. - * - * @author Adam Gibson - */ -public class ScoreUtil { - - - - /** - * Get a {@link DataSetIterator} - * from the given object whether it's a {@link DataSetIterator} - * or {@link DataSetIteratorFactory}, any other type will throw - * an {@link IllegalArgumentException} - * @param o the object to get the iterator from - * @return the datasetiterator from the given objects - */ - public static MultiDataSetIterator getMultiIterator(Object o) { - if (o instanceof MultiDataSetIterator) { - return (MultiDataSetIterator) o; - } else if (o instanceof MultiDataSetIteratorFactory) { - MultiDataSetIteratorFactory factory = (MultiDataSetIteratorFactory) o; - return factory.create(); - } else if( o instanceof DataSetIterator ){ - return new MultiDataSetIteratorAdapter((DataSetIterator)o); - } else if( o instanceof DataSetIteratorFactory ){ - return new MultiDataSetIteratorAdapter(((DataSetIteratorFactory)o).create()); - } - - throw new IllegalArgumentException("Type must either be DataSetIterator or DataSetIteratorFactory"); - } - - - /** - * Get a {@link DataSetIterator} - * from the given object whether it's a {@link DataSetIterator} - * or {@link DataSetIteratorFactory}, any other type will throw - * an {@link IllegalArgumentException} - * @param o the object to get the iterator from - * @return the datasetiterator from the given objects - */ - public static DataSetIterator getIterator(Object o) { - if (o instanceof DataSetIterator) - return (DataSetIterator) o; - else if (o instanceof DataSetIteratorFactory) { - DataSetIteratorFactory factory = (DataSetIteratorFactory) o; - return factory.create(); - } - - throw new IllegalArgumentException("Type must either be DataSetIterator or DataSetIteratorFactory"); - } - - /** - * - * @param model - * @param testData - * @return - */ - public static Evaluation getEvaluation(MultiLayerNetwork model, DataSetIterator testData) { - return model.evaluate(testData); - } - - /** - * Get the evaluation - * for the given model and test dataset - * @param model the model to get the evaluation from - * @param testData the test data to do the evaluation on - * @return the evaluation object with accumulated statistics - * for the current test data - */ - public static Evaluation getEvaluation(ComputationGraph model, MultiDataSetIterator testData) { - if (model.getNumOutputArrays() != 1) - throw new IllegalStateException("GraphSetSetAccuracyScoreFunction cannot be " - + "applied to ComputationGraphs with more than one output. NumOutputs = " - + model.getNumOutputArrays()); - - return model.evaluate(testData); - } - - - /** - * Get the evaluation - * for the given model and test dataset - * @param model the model to get the evaluation from - * @param testData the test data to do the evaluation on - * @return the evaluation object with accumulated statistics - * for the current test data - */ - public static Evaluation getEvaluation(ComputationGraph model, DataSetIterator testData) { - if (model.getNumOutputArrays() != 1) - throw new IllegalStateException("GraphSetSetAccuracyScoreFunctionDataSet cannot be " - + "applied to ComputationGraphs with more than one output. NumOutputs = " - + model.getNumOutputArrays()); - - return model.evaluate(testData); - } - - - - /** - * Score based on the loss function - * @param model the model to score with - * @param testData the test data to score - * @param average whether to average the score - * for the whole batch or not - * @return the score for the given test set - */ - public static double score(ComputationGraph model, MultiDataSetIterator testData, boolean average) { - //TODO: do this properly taking into account division by N, L1/L2 etc - double sumScore = 0.0; - int totalExamples = 0; - while (testData.hasNext()) { - MultiDataSet ds = testData.next(); - long numExamples = ds.getFeatures(0).size(0); - sumScore += numExamples * model.score(ds); - totalExamples += numExamples; - } - - if (!average) - return sumScore; - return sumScore / totalExamples; - } - - /** - * Score based on the loss function - * @param model the model to score with - * @param testData the test data to score - * @param average whether to average the score - * for the whole batch or not - * @return the score for the given test set - */ - public static double score(ComputationGraph model, DataSetIterator testData, boolean average) { - //TODO: do this properly taking into account division by N, L1/L2 etc - double sumScore = 0.0; - int totalExamples = 0; - while (testData.hasNext()) { - DataSet ds = testData.next(); - int numExamples = ds.numExamples(); - - sumScore += numExamples * model.score(ds); - totalExamples += numExamples; - } - - if (!average) - return sumScore; - return sumScore / totalExamples; - } - - - /** - * - * @param model - * @param testSet - * @param regressionValue - * @return - */ - public static double score(ComputationGraph model, MultiDataSetIterator testSet, RegressionValue regressionValue) { - int nOutputs = model.getNumOutputArrays(); - - RegressionEvaluation[] evaluations = new RegressionEvaluation[nOutputs]; - for (int i = 0; i < evaluations.length; i++) - evaluations[i] = new RegressionEvaluation(); - - while (testSet.hasNext()) { - MultiDataSet next = testSet.next(); - INDArray[] labels = next.getLabels(); - - if (next.hasMaskArrays()) { - INDArray[] fMasks = next.getFeaturesMaskArrays(); - INDArray[] lMasks = next.getLabelsMaskArrays(); - - model.setLayerMaskArrays(fMasks, lMasks); - - INDArray[] outputs = model.output(false, next.getFeatures()); - for (int i = 0; i < evaluations.length; i++) { - if (lMasks != null && lMasks[i] != null) { - evaluations[i].evalTimeSeries(labels[i], outputs[i], lMasks[i]); - } else { - evaluations[i].evalTimeSeries(labels[i], outputs[i]); - } - } - - model.clearLayerMaskArrays(); - } else { - INDArray[] outputs = model.output(false, next.getFeatures()); - for (int i = 0; i < evaluations.length; i++) { - if (labels[i].rank() == 3) { - evaluations[i].evalTimeSeries(labels[i], outputs[i]); - } else { - evaluations[i].eval(labels[i], outputs[i]); - } - } - } - } - - double sum = 0.0; - int totalColumns = 0; - for (int i = 0; i < evaluations.length; i++) { - int nColumns = evaluations[i].numColumns(); - totalColumns += nColumns; - sum += getScoreFromRegressionEval(evaluations[i], regressionValue); - } - if (regressionValue == RegressionValue.CorrCoeff) - sum /= totalColumns; - - return sum; - } - - - /** - * Run a {@link RegressionEvaluation} - * over a {@link DataSetIterator} - * @param model the model to use - * @param testSet the test set iterator - * @param regressionValue the regression type to use - * @return - */ - public static double score(ComputationGraph model, DataSetIterator testSet, RegressionValue regressionValue) { - RegressionEvaluation evaluation = model.evaluateRegression(testSet); - return getScoreFromRegressionEval(evaluation, regressionValue); - } - - - /** - * Score the given test data - * with the given multi layer network - * @param model model to use - * @param testData the test data to test with - * @param average whether to average the score or not - * @return the score for the given test data given the model - */ - public static double score(MultiLayerNetwork model, DataSetIterator testData, boolean average) { - //TODO: do this properly taking into account division by N, L1/L2 etc - double sumScore = 0.0; - int totalExamples = 0; - while (testData.hasNext()) { - DataSet ds = testData.next(); - int numExamples = ds.numExamples(); - - sumScore += numExamples * model.score(ds); - totalExamples += numExamples; - } - - if (!average) - return sumScore; - return sumScore / totalExamples; - } - - - /** - * Score the given multi layer network - * @param model the model to score - * @param testSet the test set - * @param regressionValue the regression function to use - * @return the score from the given test set - */ - public static double score(MultiLayerNetwork model, DataSetIterator testSet, RegressionValue regressionValue) { - RegressionEvaluation eval = model.evaluateRegression(testSet); - return getScoreFromRegressionEval(eval, regressionValue); - } - - - @Deprecated - public static double getScoreFromRegressionEval(RegressionEvaluation eval, RegressionValue regressionValue) { - double sum = 0.0; - int nColumns = eval.numColumns(); - switch (regressionValue) { - case MSE: - for (int i = 0; i < nColumns; i++) - sum += eval.meanSquaredError(i); - break; - case MAE: - for (int i = 0; i < nColumns; i++) - sum += eval.meanAbsoluteError(i); - break; - case RMSE: - for (int i = 0; i < nColumns; i++) - sum += eval.rootMeanSquaredError(i); - break; - case RSE: - for (int i = 0; i < nColumns; i++) - sum += eval.relativeSquaredError(i); - break; - case CorrCoeff: - for (int i = 0; i < nColumns; i++) - sum += eval.correlationR2(i); - sum /= nColumns; - break; - } - - return sum; - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/ComputationGraphTaskCreator.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/ComputationGraphTaskCreator.java deleted file mode 100644 index 53a9fe0aa..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/ComputationGraphTaskCreator.java +++ /dev/null @@ -1,267 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.task; - -import lombok.AllArgsConstructor; -import lombok.Getter; -import lombok.NoArgsConstructor; -import lombok.Setter; -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.lang3.exception.ExceptionUtils; -import org.deeplearning4j.arbiter.GraphConfiguration; -import org.deeplearning4j.arbiter.listener.DL4JArbiterStatusReportingListener; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.TaskCreator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.evaluation.ModelEvaluator; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.CandidateStatus; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; -import org.deeplearning4j.arbiter.scoring.util.ScoreUtil; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.earlystopping.EarlyStoppingResult; -import org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; -import org.nd4j.linalg.factory.Nd4j; - -import java.io.IOException; -import java.util.List; -import java.util.Properties; -import java.util.concurrent.Callable; - -/** - * Task creator for ComputationGraph - * - * @author Alex Black - */ -@AllArgsConstructor -@NoArgsConstructor -@Slf4j -public class ComputationGraphTaskCreator implements TaskCreator { - - private ModelEvaluator modelEvaluator; - @Getter - @Setter - private TaskListener taskListener; - - public ComputationGraphTaskCreator(ModelEvaluator modelEvaluator){ - this(modelEvaluator, null); - } - - @Override - public Callable create(Candidate candidate, DataProvider dataProvider, - ScoreFunction scoreFunction, List statusListener, - IOptimizationRunner runner) { - - return new GraphLearningTask(candidate, dataProvider, scoreFunction, modelEvaluator, statusListener, - taskListener, runner); - } - - @Override - public Callable create(Candidate candidate, Class dataSource, Properties dataSourceProperties, - ScoreFunction scoreFunction, List statusListeners, IOptimizationRunner runner) { - return new GraphLearningTask(candidate, dataSource, dataSourceProperties, scoreFunction, modelEvaluator, statusListeners, - taskListener, runner); - } - - @AllArgsConstructor - private static class GraphLearningTask implements Callable { - - private Candidate candidate; - private DataProvider dataProvider; - private Class dataSource; - private Properties dataSourceProperties; - private ScoreFunction scoreFunction; - private ModelEvaluator modelEvaluator; - private List listeners; - private TaskListener taskListener; - private IOptimizationRunner runner; - - private long startTime; - - public GraphLearningTask(Candidate candidate, DataProvider dataProvider, ScoreFunction scoreFunction, - ModelEvaluator modelEvaluator, List listeners, - TaskListener taskListener, IOptimizationRunner runner) { - this.candidate = candidate; - this.dataProvider = dataProvider; - this.scoreFunction = scoreFunction; - this.modelEvaluator = modelEvaluator; - this.listeners = listeners; - this.taskListener = taskListener; - this.runner = runner; - } - - public GraphLearningTask(Candidate candidate, Class dataSource, Properties dataSourceProperties, - ScoreFunction scoreFunction, ModelEvaluator modelEvaluator, List listeners, - TaskListener taskListener, IOptimizationRunner runner) { - this.candidate = candidate; - this.dataSource = dataSource; - this.dataSourceProperties = dataSourceProperties; - this.scoreFunction = scoreFunction; - this.modelEvaluator = modelEvaluator; - this.listeners = listeners; - this.taskListener = taskListener; - this.runner = runner; - } - - - @Override - public OptimizationResult call() throws Exception { - - try { - OptimizationResult result = callHelper(); - if(listeners != null && !listeners.isEmpty()){ - CandidateInfo ci = new CandidateInfo(candidate.getIndex(), CandidateStatus.Complete, result.getScore(), - startTime, startTime, System.currentTimeMillis(), candidate.getFlatParameters(), null); - for(StatusListener sl : listeners){ - try{ - sl.onCandidateStatusChange(ci, runner, result); - } catch (Exception e){ - log.error("Error in status listener for candidate {}", candidate.getIndex(), e); - } - } - } - return result; - } catch (Throwable e) { - String stackTrace = ExceptionUtils.getStackTrace(e); - log.warn("Execution failed for task {}", candidate.getIndex(), e); - - CandidateInfo ci = new CandidateInfo(candidate.getIndex(), CandidateStatus.Failed, null, startTime, - null, null, candidate.getFlatParameters(), stackTrace); - return new OptimizationResult(candidate, null, candidate.getIndex(), null, ci, null); - } finally { - //Destroy workspaces to free memory - Nd4j.getWorkspaceManager().destroyAllWorkspacesForCurrentThread(); - System.gc(); - try { - //Sleep for a few seconds - workspace destruction and memory deallocation happens quickly but doesn't - // happen instantly; if we didn't have this, we may run into a situation where the next thread/task - // tries to allocate before WS memory is fully deallocated, resulting in an OOM in memory constrained - // environments - Thread.sleep(2000L); - } catch (Exception e){ } - } - } - - private OptimizationResult callHelper() throws Exception { - startTime = System.currentTimeMillis(); - CandidateInfo ci = new CandidateInfo(candidate.getIndex(), CandidateStatus.Running, null, startTime, startTime, - null, candidate.getFlatParameters(), null); - - //Create network - ComputationGraph net = new ComputationGraph(((GraphConfiguration) candidate.getValue()).getConfiguration()); - net.init(); - - if(taskListener != null){ - net = taskListener.preProcess(net, candidate); - } - - if (listeners != null) { - net.addListeners(new DL4JArbiterStatusReportingListener(listeners, ci)); - } - - //For DataSetIterator: wraps in a MultiDataSetIterator, hence method can be used for both - MultiDataSetIterator iterator; - if(dataSource != null){ - try { - DataSource dsInstance = dataSource.newInstance(); - if (dataSourceProperties != null) - dsInstance.configure(dataSourceProperties); - iterator = ScoreUtil.getMultiIterator(dsInstance.trainData()); - } catch (Exception e){ - throw new RuntimeException("Error instantiating instance of DataSource for class " + dataSource.getName() + - " - no zero-arg constructor?",e); - } - } else { - iterator = ScoreUtil.getMultiIterator(dataProvider.trainData(candidate.getDataParameters())); - } - - - EarlyStoppingConfiguration esConfig = - ((GraphConfiguration) candidate.getValue()).getEarlyStoppingConfiguration(); - EarlyStoppingResult esResult = null; - if (esConfig != null) { - EarlyStoppingGraphTrainer trainer = new EarlyStoppingGraphTrainer(esConfig, net, iterator, null); - esResult = trainer.fit(); - net = esResult.getBestModel(); //Can return null if failed OR if - - switch (esResult.getTerminationReason()) { - case Error: - ci.setCandidateStatus(CandidateStatus.Failed); - ci.setExceptionStackTrace(esResult.getTerminationDetails()); - break; - case IterationTerminationCondition: - case EpochTerminationCondition: - ci.setCandidateStatus(CandidateStatus.Complete); - break; - } - - } else { - //Fixed number of epochs - int nEpochs = ((GraphConfiguration) candidate.getValue()).getNumEpochs(); - for (int i = 0; i < nEpochs; i++) { - net.fit(iterator); - } - ci.setCandidateStatus(CandidateStatus.Complete); - } - Nd4j.getExecutioner().commit(); - - Object additionalEvaluation = null; - if (esConfig != null && esResult.getTerminationReason() != EarlyStoppingResult.TerminationReason.Error) { - additionalEvaluation = - (modelEvaluator != null ? modelEvaluator.evaluateModel(net, dataProvider) : null); - } - - Double score = null; - if (net != null) { - if(dataSource != null){ - score = scoreFunction.score(net, dataSource, dataSourceProperties); - } else { - score = scoreFunction.score(net, dataProvider, candidate.getDataParameters()); - } - ci.setScore(score); - } - - if(taskListener != null){ - taskListener.postProcess(net, candidate); - } - - OptimizationResult result = new OptimizationResult(candidate, score, candidate.getIndex(), additionalEvaluation, ci, null); - - //Save the model: - ResultSaver saver = runner.getConfiguration().getResultSaver(); - ResultReference resultReference = null; - if (saver != null) { - try { - resultReference = saver.saveModel(result, net); - } catch (IOException e) { - //TODO: Do we want ta warn or fail on IOException? - log.warn("Error saving model (id={}): IOException thrown. ", result.getIndex(), e); - } - } - result.setResultReference(resultReference); - return result; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/MultiLayerNetworkTaskCreator.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/MultiLayerNetworkTaskCreator.java deleted file mode 100644 index 5c2fb0703..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/MultiLayerNetworkTaskCreator.java +++ /dev/null @@ -1,265 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.task; - -import lombok.AllArgsConstructor; -import lombok.Getter; -import lombok.NoArgsConstructor; -import lombok.Setter; -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.lang3.exception.ExceptionUtils; -import org.deeplearning4j.arbiter.DL4JConfiguration; -import org.deeplearning4j.arbiter.listener.DL4JArbiterStatusReportingListener; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.TaskCreator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.evaluation.ModelEvaluator; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.CandidateStatus; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; -import org.deeplearning4j.arbiter.scoring.util.ScoreUtil; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.earlystopping.EarlyStoppingResult; -import org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.factory.Nd4j; - -import java.io.IOException; -import java.util.List; -import java.util.Properties; -import java.util.concurrent.Callable; - -/** - * Task creator for MultiLayerNetworks - * - * @author Alex Black - */ -@AllArgsConstructor -@NoArgsConstructor -@Slf4j -public class MultiLayerNetworkTaskCreator implements TaskCreator { - - private ModelEvaluator modelEvaluator; - @Getter - @Setter - private TaskListener taskListener; - - public MultiLayerNetworkTaskCreator(ModelEvaluator modelEvaluator){ - this(modelEvaluator, null); - } - - @Override - public Callable create(Candidate candidate, DataProvider dataProvider, - ScoreFunction scoreFunction, List statusListeners, - IOptimizationRunner runner) { - - return new DL4JLearningTask(candidate, dataProvider, scoreFunction, modelEvaluator, statusListeners, taskListener, runner); - } - - @Override - public Callable create(Candidate candidate, Class dataSource, Properties dataSourceProperties, - ScoreFunction scoreFunction, List statusListeners, IOptimizationRunner runner) { - return new DL4JLearningTask(candidate, dataSource, dataSourceProperties, scoreFunction, modelEvaluator, statusListeners, taskListener, runner); - } - - - private static class DL4JLearningTask implements Callable { - - private Candidate candidate; - private DataProvider dataProvider; - private Class dataSource; - private Properties dataSourceProperties; - private ScoreFunction scoreFunction; - private ModelEvaluator modelEvaluator; - private List listeners; - private TaskListener taskListener; - private IOptimizationRunner runner; - - private long startTime; - - public DL4JLearningTask(Candidate candidate, DataProvider dataProvider, ScoreFunction scoreFunction, - ModelEvaluator modelEvaluator, List listeners, TaskListener taskListener, - IOptimizationRunner runner) { - this.candidate = candidate; - this.dataProvider = dataProvider; - this.scoreFunction = scoreFunction; - this.modelEvaluator = modelEvaluator; - this.listeners = listeners; - this.taskListener = taskListener; - this.runner = runner; - } - - public DL4JLearningTask(Candidate candidate, Class dataSource, Properties dataSourceProperties, - ScoreFunction scoreFunction, ModelEvaluator modelEvaluator, List listeners, TaskListener taskListener, - IOptimizationRunner runner) { - this.candidate = candidate; - this.dataSource = dataSource; - this.dataSourceProperties = dataSourceProperties; - this.scoreFunction = scoreFunction; - this.modelEvaluator = modelEvaluator; - this.listeners = listeners; - this.taskListener = taskListener; - this.runner = runner; - } - - - @Override - public OptimizationResult call() { - - try { - OptimizationResult result = callHelper(); - if(listeners != null && !listeners.isEmpty()){ - CandidateInfo ci = new CandidateInfo(candidate.getIndex(), CandidateStatus.Complete, result.getScore(), - startTime, startTime, System.currentTimeMillis(), candidate.getFlatParameters(), null); - for(StatusListener sl : listeners){ - try{ - sl.onCandidateStatusChange(ci, runner, result); - } catch (Exception e){ - log.error("Error in status listener for candidate {}", candidate.getIndex(), e); - } - } - } - return result; - } catch (Throwable e) { - String stackTrace = ExceptionUtils.getStackTrace(e); - log.warn( "Execution failed for task {}", candidate.getIndex(), e ); - - CandidateInfo ci = new CandidateInfo(candidate.getIndex(), CandidateStatus.Failed, null, startTime, - null, null, candidate.getFlatParameters(), stackTrace); - return new OptimizationResult(candidate, null, candidate.getIndex(), null, ci, null); - } finally { - //Destroy workspaces to free memory - Nd4j.getWorkspaceManager().destroyAllWorkspacesForCurrentThread(); - System.gc(); - try { - //Sleep for a few seconds - workspace destruction and memory deallocation happens quickly but doesn't - // happen instantly; if we didn't have this, we may run into a situation where the next thread/task - // tries to allocate before WS memory is fully deallocated, resulting in an OOM in memory constrained - // environments - Thread.sleep(2000L); - } catch (Exception e){ } - } - } - - private OptimizationResult callHelper() { - startTime = System.currentTimeMillis(); - CandidateInfo ci = new CandidateInfo(candidate.getIndex(), CandidateStatus.Running, null, - startTime, startTime, null, candidate.getFlatParameters(), null); - - //Create network - MultiLayerNetwork net = new MultiLayerNetwork( - ((DL4JConfiguration) candidate.getValue()).getMultiLayerConfiguration()); - net.init(); - - if(taskListener != null){ - net = taskListener.preProcess(net, candidate); - } - - if (listeners != null) { - net.addListeners(new DL4JArbiterStatusReportingListener(listeners, ci)); - } - - //Early stopping or fixed number of epochs: - DataSetIterator dataSetIterator; - if(dataSource != null){ - DataSource dsInstance; - try{ - dsInstance = dataSource.newInstance(); - } catch (Exception e){ - throw new RuntimeException("Error instantiating instance of DataSource for class " + dataSource.getName() + - " - no zero-arg constructor?",e); - } - if(dataSourceProperties != null) - dsInstance.configure(dataSourceProperties); - dataSetIterator = ScoreUtil.getIterator(dsInstance.trainData()); - } else { - dataSetIterator = ScoreUtil.getIterator(dataProvider.trainData(candidate.getDataParameters())); - } - - - EarlyStoppingConfiguration esConfig = - ((DL4JConfiguration) candidate.getValue()).getEarlyStoppingConfiguration(); - EarlyStoppingResult esResult = null; - if (esConfig != null) { - EarlyStoppingTrainer trainer = new EarlyStoppingTrainer(esConfig, net, dataSetIterator, null); - esResult = trainer.fit(); - net = esResult.getBestModel(); //Can return null if failed OR if - - switch (esResult.getTerminationReason()) { - case Error: - ci.setCandidateStatus(CandidateStatus.Failed); - ci.setExceptionStackTrace(esResult.getTerminationDetails()); - break; - case IterationTerminationCondition: - case EpochTerminationCondition: - ci.setCandidateStatus(CandidateStatus.Complete); - break; - } - - } else { - //Fixed number of epochs - int nEpochs = ((DL4JConfiguration) candidate.getValue()).getNumEpochs(); - for (int i = 0; i < nEpochs; i++) { - net.fit(dataSetIterator); - } - ci.setCandidateStatus(CandidateStatus.Complete); - } - - Object additionalEvaluation = null; - if (esConfig != null && esResult.getTerminationReason() != EarlyStoppingResult.TerminationReason.Error) { - additionalEvaluation = - (modelEvaluator != null ? modelEvaluator.evaluateModel(net, dataProvider) : null); - } - - Double score = null; - if (net != null) { - if(dataSource != null){ - score = scoreFunction.score(net, dataSource, dataSourceProperties); - } else { - score = scoreFunction.score(net, dataProvider, candidate.getDataParameters()); - } - ci.setScore(score); - } - - if(taskListener != null){ - taskListener.postProcess(net, candidate); - } - - OptimizationResult result = new OptimizationResult(candidate, score, candidate.getIndex(), additionalEvaluation, ci, null); - //Save the model: - ResultSaver saver = runner.getConfiguration().getResultSaver(); - ResultReference resultReference = null; - if (saver != null) { - try { - resultReference = saver.saveModel(result, net); - } catch (IOException e) { - //TODO: Do we want ta warn or fail on IOException? - log.warn("Error saving model (id={}): IOException thrown. ", result.getIndex(), e); - } - } - result.setResultReference(resultReference); - return result; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/TaskListener.java b/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/TaskListener.java deleted file mode 100644 index ecf262548..000000000 --- a/arbiter/arbiter-deeplearning4j/src/main/java/org/deeplearning4j/arbiter/task/TaskListener.java +++ /dev/null @@ -1,49 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.task; - -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.nn.api.Model; - -import java.io.Serializable; - -/** - * TaskListener: can be used to preprocess and post process a model (MultiLayerNetwork or ComputationGraph) before/after - * training, in a {@link MultiLayerNetworkTaskCreator} or {@link ComputationGraphTaskCreator} - * - * @author Alex Black - */ -public interface TaskListener extends Serializable { - - /** - * Preprocess the model, before any training has taken place. - *
- * Can be used to (for example) set listeners on a model before training starts - * @param model Model to preprocess - * @param candidate Candidate information, for the current model - * @return The updated model (usually the same one as the input, perhaps with modifications) - */ - T preProcess(T model, Candidate candidate); - - /** - * Post process the model, after any training has taken place - * @param model Model to postprocess - * @param candidate Candidate information, for the current model - */ - void postProcess(Model model, Candidate candidate); - -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/AssertTestsExtendBaseClass.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/AssertTestsExtendBaseClass.java deleted file mode 100644 index 06e00219f..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/AssertTestsExtendBaseClass.java +++ /dev/null @@ -1,50 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ -package org.deeplearning4j.arbiter; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.nd4j.common.tests.AbstractAssertTestsClass; - -import java.util.*; - -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - -@Slf4j -public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { - - @Override - protected Set> getExclusions() { - //Set of classes that are exclusions to the rule (either run manually or have their own logging + timeouts) - return new HashSet<>(); - } - - @Override - protected String getPackageName() { - return "org.deeplearning4j.arbiter"; - } - - @Override - protected Class getBaseClass() { - return BaseDL4JTest.class; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/TestUtils.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/TestUtils.java deleted file mode 100644 index 4300b3b32..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/TestUtils.java +++ /dev/null @@ -1,243 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter; - -import org.apache.commons.compress.utils.IOUtils; -import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; -import org.deeplearning4j.nn.conf.MultiLayerConfiguration; -import org.deeplearning4j.nn.conf.layers.BaseLayer; -import org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.deeplearning4j.util.ModelSerializer; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.linalg.learning.regularization.L1Regularization; -import org.nd4j.linalg.learning.regularization.L2Regularization; -import org.nd4j.linalg.learning.regularization.Regularization; -import org.nd4j.linalg.learning.regularization.WeightDecay; - -import java.io.*; -import java.util.List; -import java.util.Random; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertNotNull; - -public class TestUtils { - - public static MultiLayerNetwork testModelSerialization(MultiLayerNetwork net){ - - MultiLayerNetwork restored; - try { - ByteArrayOutputStream baos = new ByteArrayOutputStream(); - ModelSerializer.writeModel(net, baos, true); - byte[] bytes = baos.toByteArray(); - - ByteArrayInputStream bais = new ByteArrayInputStream(bytes); - restored = ModelSerializer.restoreMultiLayerNetwork(bais, true); - - assertEquals(net.getLayerWiseConfigurations(), restored.getLayerWiseConfigurations()); - assertEquals(net.params(), restored.params()); - } catch (IOException e){ - //Should never happen - throw new RuntimeException(e); - } - - //Also check the MultiLayerConfiguration is serializable (required by Spark etc) - MultiLayerConfiguration conf = net.getLayerWiseConfigurations(); - serializeDeserializeJava(conf); - - return restored; - } - - public static ComputationGraph testModelSerialization(ComputationGraph net){ - - ComputationGraph restored; - try { - ByteArrayOutputStream baos = new ByteArrayOutputStream(); - ModelSerializer.writeModel(net, baos, true); - byte[] bytes = baos.toByteArray(); - - ByteArrayInputStream bais = new ByteArrayInputStream(bytes); - restored = ModelSerializer.restoreComputationGraph(bais, true); - - assertEquals(net.getConfiguration(), restored.getConfiguration()); - assertEquals(net.params(), restored.params()); - } catch (IOException e){ - //Should never happen - throw new RuntimeException(e); - } - - //Also check the ComputationGraphConfiguration is serializable (required by Spark etc) - ComputationGraphConfiguration conf = net.getConfiguration(); - serializeDeserializeJava(conf); - - return restored; - } - - private static T serializeDeserializeJava(T object){ - byte[] bytes; - try(ByteArrayOutputStream baos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(baos)){ - oos.writeObject(object); - oos.close(); - bytes = baos.toByteArray(); - } catch (IOException e){ - //Should never happen - throw new RuntimeException(e); - } - - T out; - try(ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(bytes))){ - out = (T)ois.readObject(); - } catch (IOException | ClassNotFoundException e){ - throw new RuntimeException(e); - } - - assertEquals(object, out); - return out; - } - - public static INDArray randomOneHot(long examples, long nOut){ - return randomOneHot(examples, nOut, new Random(12345)); - } - - public static INDArray randomOneHot(long examples, long nOut, long rngSeed){ - return randomOneHot(examples, nOut, new Random(rngSeed)); - } - - public static INDArray randomOneHot(long examples, long nOut, Random rng){ - INDArray arr = Nd4j.create(examples, nOut); - for( int i=0; i l){ - for(Regularization r : l){ - if(r instanceof L1Regularization){ - return (L1Regularization) r; - } - } - return null; - } - - public static L2Regularization getL2Reg(BaseLayer baseLayer){ - return getL2Reg(baseLayer.getRegularization()); - } - - public static L2Regularization getL2Reg(List l){ - for(Regularization r : l){ - if(r instanceof L2Regularization){ - return (L2Regularization) r; - } - } - return null; - } - - public static WeightDecay getWeightDecayReg(BaseLayer bl){ - return getWeightDecayReg(bl.getRegularization()); - } - - public static WeightDecay getWeightDecayReg(List l){ - for(Regularization r : l){ - if(r instanceof WeightDecay){ - return (WeightDecay) r; - } - } - return null; - } - - public static double getL1(BaseLayer layer) { - List l = layer.getRegularization(); - return getL1(l); - } - - public static double getL1(List l){ - L1Regularization l1Reg = null; - for(Regularization reg : l){ - if(reg instanceof L1Regularization) - l1Reg = (L1Regularization) reg; - } - assertNotNull(l1Reg); - return l1Reg.getL1().valueAt(0,0); - } - - public static double getL2(BaseLayer layer) { - List l = layer.getRegularization(); - return getL2(l); - } - - public static double getL2(List l){ - L2Regularization l2Reg = null; - for(Regularization reg : l){ - if(reg instanceof L2Regularization) - l2Reg = (L2Regularization) reg; - } - assertNotNull(l2Reg); - return l2Reg.getL2().valueAt(0,0); - } - - public static double getL1(AbstractSameDiffLayer layer){ - return getL1(layer.getRegularization()); - } - - public static double getL2(AbstractSameDiffLayer layer){ - return getL2(layer.getRegularization()); - } - - public static double getWeightDecay(BaseLayer layer) { - return getWeightDecayReg(layer.getRegularization()).getCoeff().valueAt(0,0); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestComputationGraphSpace.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestComputationGraphSpace.java deleted file mode 100644 index 54d73b775..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestComputationGraphSpace.java +++ /dev/null @@ -1,168 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.computationgraph; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.TestUtils; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; -import org.deeplearning4j.nn.conf.NeuralNetConfiguration; -import org.deeplearning4j.nn.conf.graph.LayerVertex; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.conf.layers.BaseLayer; -import org.deeplearning4j.nn.conf.layers.DenseLayer; -import org.deeplearning4j.nn.conf.layers.OutputLayer; -import org.junit.Test; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.learning.config.Sgd; -import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction; - -import java.util.List; -import java.util.Random; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertTrue; - -public class TestComputationGraphSpace extends BaseDL4JTest { - - @Test - public void testBasic() { - - ComputationGraphConfiguration expected = new NeuralNetConfiguration.Builder() - .updater(new Sgd(0.005)) - .seed(12345) - .graphBuilder().addInputs("in") - .addLayer("0", new DenseLayer.Builder().nIn(10).nOut(10).build(), "in") - .addLayer("1", new DenseLayer.Builder().nIn(10).nOut(10).build(), "0").addLayer("2", - new OutputLayer.Builder().lossFunction(LossFunction.MCXENT) - .activation(Activation.SOFTMAX) - .nIn(10).nOut(5) - .build(), - "1") - .setOutputs("2").build(); - - ComputationGraphSpace cgs = new ComputationGraphSpace.Builder() - .updater(new Sgd(0.005)) - .seed(12345).addInputs("in") - .addLayer("0", new DenseLayerSpace.Builder().nIn(10).nOut(10).build(), "in") - .addLayer("1", new DenseLayerSpace.Builder().nIn(10).nOut(10).build(), "0") - .addLayer("2", new OutputLayerSpace.Builder().lossFunction(LossFunction.MCXENT).activation(Activation.SOFTMAX).nIn(10).nOut(5) - .build(), "1") - .setOutputs("2").setInputTypes(InputType.feedForward(10)) - .build(); - - int nParams = cgs.numParameters(); - assertEquals(0, nParams); - - ComputationGraphConfiguration conf = cgs.getValue(new double[0]).getConfiguration(); - - assertEquals(expected, conf); - } - - @Test - public void testBasic2() { - - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.2, 0.5)) - .addInputs("in").addLayer("0", - new DenseLayerSpace.Builder().nIn(10).nOut(10) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - "in") - .addLayer("1", new OutputLayerSpace.Builder().nIn(10).nOut(10).activation(Activation.SOFTMAX) - .build(), "0") - .setOutputs("1").setInputTypes(InputType.feedForward(10)).build(); - - int nParams = mls.numParameters(); - assertEquals(3, nParams); - - //Assign numbers to each leaf ParameterSpace object (normally done by candidate generator) - List noDuplicatesList = LeafUtils.getUniqueObjects(mls.collectLeaves()); - - //Second: assign each a number - int c = 0; - for (ParameterSpace ps : noDuplicatesList) { - int np = ps.numParameters(); - if (np == 1) { - ps.setIndices(c++); - } else { - int[] values = new int[np]; - for (int j = 0; j < np; j++) - values[c++] = j; - ps.setIndices(values); - } - } - - int reluCount = 0; - int tanhCount = 0; - - Random r = new Random(12345); - - for (int i = 0; i < 50; i++) { - - double[] rvs = new double[nParams]; - for (int j = 0; j < rvs.length; j++) - rvs[j] = r.nextDouble(); - - - ComputationGraphConfiguration conf = mls.getValue(rvs).getConfiguration(); - - int nLayers = conf.getVertexInputs().size(); - assertEquals(2, nLayers); - - for (int j = 0; j < nLayers; j++) { - NeuralNetConfiguration layerConf = - ((LayerVertex) conf.getVertices().get(String.valueOf(j))).getLayerConf(); - - double lr = ((Sgd)((BaseLayer) layerConf.getLayer()).getIUpdater()).getLearningRate(); - assertTrue(lr >= 0.0001 && lr <= 0.1); - double l2 = TestUtils.getL2(((BaseLayer) layerConf.getLayer())); - assertTrue(l2 >= 0.2 && l2 <= 0.5); - - if (j == nLayers - 1) { //Output layer - assertEquals(Activation.SOFTMAX.getActivationFunction(), - ((BaseLayer) layerConf.getLayer()).getActivationFn()); - } else { - IActivation actFn = ((BaseLayer) layerConf.getLayer()).getActivationFn(); - assertTrue(Activation.RELU.getActivationFunction().equals(actFn) || - Activation.TANH.getActivationFunction().equals(actFn)); - if (Activation.RELU.getActivationFunction().equals(actFn)) - reluCount++; - else - tanhCount++; - } - } - } - -// System.out.println("ReLU vs. Tanh: " + reluCount + "\t" + tanhCount); - assertTrue(reluCount > 0); - assertTrue(tanhCount > 0); - - } - - -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestGraphLocalExecution.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestGraphLocalExecution.java deleted file mode 100644 index 3566afd02..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestGraphLocalExecution.java +++ /dev/null @@ -1,374 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.computationgraph; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.conf.updater.AdamSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.evaluator.multilayer.ClassificationEvaluator; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.multilayernetwork.TestDL4JLocalExecution; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.ScoreFunctions; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.task.ComputationGraphTaskCreator; -import org.deeplearning4j.arbiter.util.TestDataFactoryProviderMnist; -import org.deeplearning4j.datasets.iterator.MultipleEpochsIterator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.earlystopping.saver.InMemoryModelSaver; -import org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG; -import org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator; -import org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.junit.BeforeClass; -import org.junit.Rule; -import org.junit.Test; -import org.junit.rules.TemporaryFolder; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.common.function.Supplier; -import org.nd4j.linalg.lossfunctions.LossFunctions; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.io.File; -import java.io.IOException; -import java.io.Serializable; -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.Properties; -import java.util.concurrent.TimeUnit; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertTrue; - -@Slf4j -public class TestGraphLocalExecution extends BaseDL4JTest { - - @Rule - public TemporaryFolder testDir = new TemporaryFolder(); - - @BeforeClass - public static void before(){ - Nd4j.setDefaultDataTypes(DataType.FLOAT, DataType.FLOAT); - } - - @Override - public long getTimeoutMilliseconds() { - return 120_000L; - } - - @Test - public void testLocalExecutionDataSources() throws Exception { - - for( int dataApproach = 0; dataApproach<3; dataApproach++ ) { - log.info("////////////////// Starting Test: {} ///////////////////", dataApproach); - - //Define: network config (hyperparameter space) - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addInputs("in") - .addLayer("0", - new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(10, 20)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), "in") //1-2 identical layers (except nIn) - .addLayer("1", new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "0") - .setOutputs("1") - .setInputTypes(InputType.feedForward(784)) - .numEpochs(3).build(); - - DataProvider dp = null; - Class ds = null; - Properties dsP = null; - CandidateGenerator candidateGenerator; - - if(dataApproach == 0){ - ds = TestDL4JLocalExecution.MnistDataSource.class; - dsP = new Properties(); - dsP.setProperty("minibatch", "2"); - candidateGenerator = new RandomSearchGenerator(mls); - } else if(dataApproach == 1) { - //DataProvider approach - dp = new TestDL4JLocalExecution.MnistDataProvider(); - candidateGenerator = new RandomSearchGenerator(mls); - } else { - //Factory approach - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - candidateGenerator = new RandomSearchGenerator(mls, commands); - dp = new DataSetIteratorFactoryProvider(); - } - - File f = testDir.newFolder(); - File modelSave = new File(f, "modelSaveDir"); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dp) - .dataSource(ds, dsP) - .modelSaver(new FileModelSaver(modelSave)) - .scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(20, TimeUnit.SECONDS), - new MaxCandidatesCondition(3)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration,new ComputationGraphTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - - List results = runner.getResults(); - assertTrue(results.size() > 0); - -// System.out.println("----- COMPLETE - " + results.size() + " results -----"); - } - } - - - @Test - public void testLocalExecution() throws Exception { - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define: network config (hyperparameter space) - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)).addInputs("in") - .setInputTypes(InputType.feedForward(4)) - .addLayer("layer0", - new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), - "in") - .addLayer("out", new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "layer0") - .setOutputs("out").numEpochs(3).build(); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterDL4JTest\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - f.deleteOnExit(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)).scoreFunction(ScoreFunctions.testSetLoss(true)) - .terminationConditions(new MaxTimeCondition(30, TimeUnit.SECONDS), - new MaxCandidatesCondition(3)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, - new ComputationGraphTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - - assertEquals(0, runner.numCandidatesFailed()); - assertTrue(runner.numCandidatesCompleted() > 0); - } - - @Test - public void testLocalExecutionMDS() throws Exception { - //Define: network config (hyperparameter space) - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)).addInputs("in") - .setInputTypes(InputType.feedForward(784)) - .addLayer("layer0", - new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), - "in") - .addLayer("out", new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "layer0") - .setOutputs("out").numEpochs(3).build(); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, null); - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterDL4JTest\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - f.deleteOnExit(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(new TestMdsDataProvider(1, 32)) - .modelSaver(new FileModelSaver(modelSavePath)).scoreFunction(ScoreFunctions.testSetLoss(true)) - .terminationConditions(new MaxTimeCondition(30, TimeUnit.SECONDS), - new MaxCandidatesCondition(3)) - .scoreFunction(ScoreFunctions.testSetAccuracy()) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new ComputationGraphTaskCreator()); - - runner.execute(); - - assertEquals(0, runner.numCandidatesFailed()); - assertTrue(runner.numCandidatesCompleted() > 0); - } - - public static class TestMdsDataProvider implements DataProvider { - private int numEpochs; - private int batchSize; - - public TestMdsDataProvider(@JsonProperty("numEpochs") int numEpochs, @JsonProperty("batchSize") int batchSize) { - this.numEpochs = numEpochs; - this.batchSize = batchSize; - } - - private TestMdsDataProvider() { - } - - - @Override - public Object trainData(Map dataParameters) { - try { - DataSetIterator underlying = new MnistDataSetIterator(batchSize, Math.min(60000, 3 * batchSize), false, true, true, 12345); - return new MultiDataSetIteratorAdapter(new MultipleEpochsIterator(numEpochs, underlying)); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - @Override - public Object testData(Map dataParameters) { - try { - DataSetIterator underlying = new MnistDataSetIterator(batchSize, Math.min(10000, 2 * batchSize), false, false, false, 12345); - return new MultiDataSetIteratorAdapter(underlying); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return MultiDataSetIterator.class; - } - } - - @Test - public void testLocalExecutionEarlyStopping() throws Exception { - EarlyStoppingConfiguration esConf = new EarlyStoppingConfiguration.Builder() - .epochTerminationConditions(new MaxEpochsTerminationCondition(2)) - .scoreCalculator(new ScoreProvider()) - .modelSaver(new InMemoryModelSaver()).build(); - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define: network config (hyperparameter space) - ComputationGraphSpace cgs = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new AdamSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)).addInputs("in") - .setInputTypes(InputType.feedForward(784)) - .addLayer("first", - new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - "in") //1-2 identical layers (except nIn) - .addLayer("out", new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "first") - .setOutputs("out").earlyStoppingConfiguration(esConf).build(); - - //Define configuration: - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(cgs, commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterDL4JTest2CG\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - f.deleteOnExit(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .scoreFunction(ScoreFunctions.testSetF1()) - .modelSaver(new FileModelSaver(modelSavePath)) - .terminationConditions(new MaxTimeCondition(15, TimeUnit.SECONDS), - new MaxCandidatesCondition(3)) - .build(); - - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new ComputationGraphTaskCreator()); - runner.execute(); - - assertEquals(0, runner.numCandidatesFailed()); - assertTrue(runner.numCandidatesCompleted() > 0); - } - - private static class ScoreProvider implements Supplier, Serializable { - @Override - public ScoreCalculator get() { - try { - return new DataSetLossCalculatorCG(new MnistDataSetIterator(4, 8), true); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestGraphLocalExecutionGenetic.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestGraphLocalExecutionGenetic.java deleted file mode 100644 index 06dd2eefd..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/computationgraph/TestGraphLocalExecutionGenetic.java +++ /dev/null @@ -1,213 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.computationgraph; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.evaluator.multilayer.ClassificationEvaluator; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.multilayernetwork.TestDL4JLocalExecution; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.GeneticSearchCandidateGenerator; -import org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.task.ComputationGraphTaskCreator; -import org.deeplearning4j.arbiter.util.TestDataFactoryProviderMnist; -import org.deeplearning4j.datasets.iterator.MultipleEpochsIterator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG; -import org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.junit.Rule; -import org.junit.Test; -import org.junit.rules.TemporaryFolder; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator; -import org.nd4j.common.function.Supplier; -import org.nd4j.linalg.lossfunctions.LossFunctions; -import org.nd4j.shade.jackson.annotation.JsonProperty; - -import java.io.File; -import java.io.IOException; -import java.io.Serializable; -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.Properties; -import java.util.concurrent.TimeUnit; - -import static org.junit.Assert.assertTrue; - -@Slf4j -public class TestGraphLocalExecutionGenetic extends BaseDL4JTest { - - @Rule - public TemporaryFolder testDir = new TemporaryFolder(); - - @Override - public long getTimeoutMilliseconds() { - return 120_000L; - } - - @Test - public void testLocalExecutionDataSources() throws Exception { - for (int dataApproach = 0; dataApproach < 3; dataApproach++) { - log.info("////////////////// Starting Test: {} ///////////////////", dataApproach); - - //Define: network config (hyperparameter space) - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addInputs("in") - .addLayer("0", - new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(5, 32)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH, Activation.LEAKYRELU)) - .build(), "in") //1-2 identical layers (except nIn) - .addLayer("1", new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "0") - .setOutputs("1") - .setInputTypes(InputType.feedForward(784)) - .numEpochs(3).build(); - - DataProvider dp = null; - Class ds = null; - Properties dsP = null; - CandidateGenerator candidateGenerator; - - TestSetLossScoreFunction scoreFunction = new TestSetLossScoreFunction(); - - if (dataApproach == 0) { - ds = TestDL4JLocalExecution.MnistDataSource.class; - dsP = new Properties(); - dsP.setProperty("minibatch", "2"); - - candidateGenerator = new GeneticSearchCandidateGenerator.Builder(mls, scoreFunction) - .populationModel(new PopulationModel.Builder().populationSize(5).build()) - .build(); - } else if (dataApproach == 1) { - //DataProvider approach - dp = new TestDL4JLocalExecution.MnistDataProvider(); - - candidateGenerator = new GeneticSearchCandidateGenerator.Builder(mls, scoreFunction) - .populationModel(new PopulationModel.Builder().populationSize(5).build()) - .build(); - } else { - //Factory approach - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - candidateGenerator = new GeneticSearchCandidateGenerator.Builder(mls, scoreFunction) - .dataParameters(commands) - .populationModel(new PopulationModel.Builder().populationSize(5).build()) - .build(); - dp = new DataSetIteratorFactoryProvider(); - } - - File f = testDir.newFolder(); - File modelSave = new File(f, "modelSaveDir"); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dp) - .dataSource(ds, dsP) - .modelSaver(new FileModelSaver(modelSave)) - .scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(20, TimeUnit.SECONDS), - new MaxCandidatesCondition(3)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new ComputationGraphTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - - List results = runner.getResults(); - assertTrue(results.size() > 0); - -// System.out.println("----- COMPLETE - " + results.size() + " results -----"); - } - } - - public static class TestMdsDataProvider implements DataProvider { - private int numEpochs; - private int batchSize; - - public TestMdsDataProvider(@JsonProperty("numEpochs") int numEpochs, @JsonProperty("batchSize") int batchSize) { - this.numEpochs = numEpochs; - this.batchSize = batchSize; - } - - private TestMdsDataProvider() { - } - - - @Override - public Object trainData(Map dataParameters) { - try { - DataSetIterator underlying = new MnistDataSetIterator(batchSize, Math.min(60000, 10 * batchSize), false, true, true, 12345); - return new MultiDataSetIteratorAdapter(new MultipleEpochsIterator(numEpochs, underlying)); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - @Override - public Object testData(Map dataParameters) { - try { - DataSetIterator underlying = new MnistDataSetIterator(batchSize, Math.min(10000, 5 * batchSize), false, false, false, 12345); - return new MultiDataSetIteratorAdapter(underlying); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return MultiDataSetIterator.class; - } - } - - private static class ScoreProvider implements Supplier, Serializable { - @Override - public ScoreCalculator get() { - try { - return new DataSetLossCalculatorCG(new MnistDataSetIterator(128, 1280), true); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/json/TestJson.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/json/TestJson.java deleted file mode 100644 index c64c21814..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/json/TestJson.java +++ /dev/null @@ -1,263 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.json; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.conf.updater.AdaMaxSpace; -import org.deeplearning4j.arbiter.conf.updater.AdamSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.scoring.RegressionValue; -import org.deeplearning4j.arbiter.scoring.ScoreFunctions; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.util.TestDataFactoryProviderMnist; -import org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.earlystopping.saver.InMemoryModelSaver; -import org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG; -import org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.junit.Test; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.util.HashMap; -import java.util.Map; -import java.util.Properties; -import java.util.concurrent.TimeUnit; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertNotNull; - -/** - * Created by Alex on 14/02/2017. - */ -public class TestJson extends BaseDL4JTest { - - @Test - public void testMultiLayerSpaceJson() { - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .addLayer(new DenseLayerSpace.Builder().nIn(1).nOut(new IntegerParameterSpace(5, 30)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.SOFTPLUS, - Activation.LEAKYRELU)) - .build(), new IntegerParameterSpace(1, 2), true) //1-2 identical layers - .addLayer(new DenseLayerSpace.Builder().nIn(4).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), new IntegerParameterSpace(0, 1), true) //0 to 1 layers - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .iLossFunction(LossFunctions.LossFunction.MCXENT.getILossFunction()).build()) - .setInputType(InputType.convolutional(28, 28, 1)).build(); - - String asJson = mls.toJson(); - // System.out.println(asJson); - - MultiLayerSpace fromJson = MultiLayerSpace.fromJson(asJson); - - assertEquals(mls, fromJson); - } - - - - @Test - public void testOptimizationFromJson() { - EarlyStoppingConfiguration esConf = - new EarlyStoppingConfiguration.Builder() - .epochTerminationConditions(new MaxEpochsTerminationCondition(100)) - .scoreCalculator(new DataSetLossCalculatorCG(new IrisDataSetIterator(150, 150), - true)) - .modelSaver(new InMemoryModelSaver()).build(); - - //Define: network config (hyperparameter space) - ComputationGraphSpace cgs = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new AdaMaxSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)).addInputs("in") - .setInputTypes(InputType.feedForward(4)) - .addLayer("first", - new DenseLayerSpace.Builder().nIn(4).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - "in") //1-2 identical layers (except nIn) - .addLayer("out", new OutputLayerSpace.Builder().nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "first") - .setOutputs("out").earlyStoppingConfiguration(esConf).build(); - - //Define configuration: - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(cgs, commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder().candidateGenerator(candidateGenerator) - .dataProvider(dataProvider).scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(2, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - String json = configuration.toJson(); - OptimizationConfiguration loadConf = OptimizationConfiguration.fromJson(json); - assertEquals(configuration, loadConf); - } - - @Test - public void testOptimizationFromJsonDataSource() { - for(boolean withProperties : new boolean[]{false, true}) { - //Define: network config (hyperparameter space) - ComputationGraphSpace cgs = new ComputationGraphSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new AdaMaxSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)).addInputs("in") - .setInputTypes(InputType.feedForward(4)) - .addLayer("first", - new DenseLayerSpace.Builder().nIn(4).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - "in") //1-2 identical layers (except nIn) - .addLayer("out", new OutputLayerSpace.Builder().nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "first") - .setOutputs("out").build(); - - //Define configuration: - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(cgs, commands); - - Properties p = new Properties(); - p.setProperty("minibatch", "16"); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder().candidateGenerator(candidateGenerator) - .dataSource(MnistDataSource.class, (withProperties ? p : null)) - .scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(2, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - String json = configuration.toJson(); - OptimizationConfiguration loadConf = OptimizationConfiguration.fromJson(json); - assertEquals(configuration, loadConf); - assertNotNull(loadConf.getDataSource()); - if(withProperties){ - assertNotNull(loadConf.getDataSourceProperties()); - } - } - } - - @Test - public void testComputationGraphSpaceJson() { - ParameterSpace p = new IntegerParameterSpace(10, 100); - ComputationGraphSpace cgs = - new ComputationGraphSpace.Builder() - .updater(new AdamSpace(new DiscreteParameterSpace<>(0.1, 0.5, 1.0))) - .seed(12345).addInputs("in") - .addLayer("0", new DenseLayerSpace.Builder() - .nIn(new IntegerParameterSpace(1, 100)).nOut(p).build(), "in") - .addLayer("1", new DenseLayerSpace.Builder().nIn(p).nOut(10).build(), "0") - .addLayer("2", new OutputLayerSpace.Builder().iLossFunction( - LossFunctions.LossFunction.MCXENT.getILossFunction()).nIn(10) - .nOut(5).build(), "1") - .setOutputs("2").build(); - - String asJson = cgs.toJson(); - ComputationGraphSpace fromJson = ComputationGraphSpace.fromJson(asJson); - - assertEquals(cgs, fromJson); - } - - @Test - public void testScoreFunctionJson() throws Exception { - - ScoreFunction[] scoreFunctions = new ScoreFunction[]{ - ScoreFunctions.testSetAccuracy(), ScoreFunctions.testSetF1(), - ScoreFunctions.testSetLoss(true), ScoreFunctions.testSetRegression(RegressionValue.MAE), - ScoreFunctions.testSetRegression(RegressionValue.RMSE)}; - - for(ScoreFunction sc : scoreFunctions){ - String json = JsonMapper.getMapper().writeValueAsString(sc); - ScoreFunction fromJson = JsonMapper.getMapper().readValue(json, ScoreFunction.class); - - assertEquals(sc, fromJson); - } - } - - - public static class MnistDataSource implements DataSource { - private int minibatch; - - public MnistDataSource(){ - - } - - @Override - public void configure(Properties properties) { - this.minibatch = Integer.parseInt(properties.getProperty("minibatch", "16")); - } - - @Override - public Object trainData() { - try { - return new MnistDataSetIterator(minibatch, true, 12345); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Object testData() { - try { - return new MnistDataSetIterator(minibatch, true, 12345); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/MNISTOptimizationTest.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/MNISTOptimizationTest.java deleted file mode 100644 index ea754990a..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/MNISTOptimizationTest.java +++ /dev/null @@ -1,166 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.arbiter.util.TestDataFactoryProviderMnist; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.earlystopping.saver.InMemoryModelSaver; -import org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator; -import org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition; -import org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition; -import org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.io.File; -import java.util.HashMap; -import java.util.Map; -import java.util.concurrent.TimeUnit; - -// import org.deeplearning4j.arbiter.optimize.ui.ArbiterUIServer; -// import org.deeplearning4j.arbiter.optimize.ui.listener.UIOptimizationRunnerStatusListener; - -/** Not strictly a unit test. Rather: part example, part debugging on MNIST */ -public class MNISTOptimizationTest extends BaseDL4JTest { - - public static void main(String[] args) throws Exception { - EarlyStoppingConfiguration esConf = - new EarlyStoppingConfiguration.Builder() - .epochTerminationConditions(new MaxEpochsTerminationCondition(3)) - .iterationTerminationConditions( - new MaxTimeIterationTerminationCondition(5, TimeUnit.MINUTES), - new MaxScoreIterationTerminationCondition(4.6) //Random score: -log_e(0.1) ~= 2.3 - ).scoreCalculator(new DataSetLossCalculator(new MnistDataSetIterator(64, 2000, false, false, true, 123), true)).modelSaver(new InMemoryModelSaver()).build(); - - //Define: network config (hyperparameter space) - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .addLayer( - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 30)) - .kernelSize(new DiscreteParameterSpace<>(new int[] {3, 3}, - new int[] {4, 4}, new int[] {5, 5})) - .stride(new DiscreteParameterSpace<>(new int[] {1, 1}, - new int[] {2, 2})) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build(), - new IntegerParameterSpace(1, 2)) //1-2 identical layers - .addLayer(new DenseLayerSpace.Builder().nIn(4).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), new IntegerParameterSpace(0, 1)) //0 to 1 layers - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .earlyStoppingConfiguration(esConf).build(); - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new MnistDataSetProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterMNISTSmall\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)).scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - // ArbiterUIServer server = ArbiterUIServer.getInstance(); - // runner.addListeners(new UIOptimizationRunnerStatusListener(server)); - - runner.execute(); - - - System.out.println("----- COMPLETE -----"); - } - - - private static class MnistDataSetProvider implements DataProvider { - - @Override - public DataSetIterator trainData(Map dataParameters) { - try { - if (dataParameters == null || dataParameters.isEmpty()) { - return new MnistDataSetIterator(64, 10000, false, true, true, 123); - } - if (dataParameters.containsKey("batchsize")) { - int b = (Integer) dataParameters.get("batchsize"); - return new MnistDataSetIterator(b, 10000, false, true, true, 123); - } - return new MnistDataSetIterator(64, 10000, false, true, true, 123); - } catch (Exception e) { - throw new RuntimeException(e); - } - } - - @Override - public DataSetIterator testData(Map dataParameters) { - return trainData(dataParameters); - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - - @Override - public String toString() { - return "MnistDataSetProvider()"; - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/MnistDataSetIteratorFactory.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/MnistDataSetIteratorFactory.java deleted file mode 100644 index 55c2643a9..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/MnistDataSetIteratorFactory.java +++ /dev/null @@ -1,42 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import lombok.Data; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; - -import java.io.IOException; - -/** - * Created by agibsonccc on 3/13/17. - */ -@Data -public class MnistDataSetIteratorFactory implements DataSetIteratorFactory { - /** - * @return - */ - @Override - public DataSetIterator create() { - try { - return new MnistDataSetIterator(1000, 1000); - } catch (IOException e) { - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestDL4JLocalExecution.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestDL4JLocalExecution.java deleted file mode 100644 index 6f1cc63cd..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestDL4JLocalExecution.java +++ /dev/null @@ -1,382 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.evaluator.multilayer.ClassificationEvaluator; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OCNNLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.arbiter.util.TestDataFactoryProviderMnist; -import org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator; -import org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration; -import org.deeplearning4j.earlystopping.saver.InMemoryModelSaver; -import org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator; -import org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.junit.BeforeClass; -import org.junit.Ignore; -import org.junit.Rule; -import org.junit.Test; -import org.junit.rules.TemporaryFolder; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.io.File; -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.Properties; -import java.util.concurrent.TimeUnit; - -import static org.junit.Assert.assertTrue; - -@Slf4j -public class TestDL4JLocalExecution extends BaseDL4JTest { - - @Rule - public TemporaryFolder testDir = new TemporaryFolder(); - - @BeforeClass - public static void before(){ - Nd4j.setDefaultDataTypes(DataType.FLOAT, DataType.FLOAT); - } - - @Test - public void testLocalExecution() throws Exception { - - for( int dataApproach = 0; dataApproach<3; dataApproach++ ) { - log.info("////////////////// Starting Test: {} ///////////////////", dataApproach); - - //Define: network config (hyperparameter space) - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addLayer( - new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(10, 20)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build()) //1-2 identical layers (except nIn) - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .numEpochs(3).build(); - - DataProvider dp = null; - Class ds = null; - Properties dsP = null; - CandidateGenerator candidateGenerator; - - if(dataApproach == 0){ - ds = MnistDataSource.class; - dsP = new Properties(); - dsP.setProperty("minibatch", "2"); - candidateGenerator = new RandomSearchGenerator(mls); - } else if(dataApproach == 1) { - //DataProvider approach - dp = new MnistDataProvider(); - candidateGenerator = new RandomSearchGenerator(mls); - } else { - //Factory approach - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - candidateGenerator = new RandomSearchGenerator(mls, commands); - dp = new DataSetIteratorFactoryProvider(); - } - - File f = testDir.newFolder(); - File modelSave = new File(f, "modelSaveDir"); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dp) - .dataSource(ds, dsP) - .modelSaver(new FileModelSaver(modelSave)) - .scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(5, TimeUnit.SECONDS), - new MaxCandidatesCondition(5)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, - new MultiLayerNetworkTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - - List results = runner.getResults(); - assertTrue(results.size() > 0); - - System.out.println("----- COMPLETE - " + results.size() + " results -----"); - } - } - - public static class MnistDataSource implements DataSource { - private int minibatch; - - public MnistDataSource(){ - - } - - @Override - public void configure(Properties properties) { - this.minibatch = Integer.parseInt(properties.getProperty("minibatch", "16")); - } - - @Override - public Object trainData() { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(minibatch, true, 12345), 3); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Object testData() { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(minibatch, true, 12345), 3); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - } - - public static class MnistDataProvider implements DataProvider { - private int minibatch = 8; - - @Override - public Object trainData(Map dataParameters) { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(minibatch, true, 12345), 3); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Object testData(Map dataParameters) { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(minibatch, true, 12345), 3); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - } - - @Test - @org.junit.Ignore - public void testLocalExecutionGridSearch() throws Exception { - - //Define: network config (hyperparameter space) - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addLayer( - new DenseLayerSpace.Builder().nIn(4).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - new IntegerParameterSpace(1, 2)) //1-2 identical layers (except nIn) - .addLayer(new OutputLayerSpace.Builder().nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .numEpochs(3).build(); - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - CandidateGenerator candidateGenerator = new GridSearchCandidateGenerator(mls, 5, - GridSearchCandidateGenerator.Mode.Sequential, commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterDL4JTest/").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - f.deleteOnExit(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)).scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(2, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, - new MultiLayerNetworkTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - - System.out.println("----- COMPLETE -----"); - } - - @Test - @Ignore - public void testLocalExecutionEarlyStopping() throws Exception { - EarlyStoppingConfiguration esConf = new EarlyStoppingConfiguration.Builder() - .epochTerminationConditions(new MaxEpochsTerminationCondition(100)) - .scoreCalculator(new DataSetLossCalculator(new IrisDataSetIterator(150, 150), true)) - .modelSaver(new InMemoryModelSaver()).build(); - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - - //Define: network config (hyperparameter space) - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addLayer(new DenseLayerSpace.Builder().nIn(4).nOut(new IntegerParameterSpace(2, 10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - new IntegerParameterSpace(1, 2)) //1-2 identical layers (except nIn) - .addLayer(new OutputLayerSpace.Builder().nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .earlyStoppingConfiguration(esConf).build(); - - //Define configuration: - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterDL4JTest2\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - f.deleteOnExit(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)).scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(2, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, - new MultiLayerNetworkTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - System.out.println("----- COMPLETE -----"); - } - - - @Test - public void testOcnn() { - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - - //Define: network config (hyperparameter space) - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addLayer( - new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(250, 500)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), - new IntegerParameterSpace(1, 2)) //1-2 identical layers (except nIn) - .addLayer(new OCNNLayerSpace.Builder().nu(new ContinuousParameterSpace(0.0001, 0.1)) - .numHidden(new DiscreteParameterSpace(784 / 2,784 / 4)) - .activation(Activation.HARDSIGMOID) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .setInputType(InputType.convolutionalFlat(28,28,1)) - .build(); - - //Define configuration: - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterDL4JTest3\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - f.deleteOnExit(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)).scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(2, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - - //candidate generation: uncomment execute if you want to run - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, - new MultiLayerNetworkTaskCreator(new ClassificationEvaluator())); - - Candidate candidate = candidateGenerator.getCandidate(); - - // runner.execute(); - System.out.println("----- COMPLETE -----"); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestErrors.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestErrors.java deleted file mode 100644 index a62997a33..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestErrors.java +++ /dev/null @@ -1,157 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.arbiter.util.TestDataProviderMnist; -import org.junit.Rule; -import org.junit.Test; -import org.junit.rules.TemporaryFolder; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.io.File; - -public class TestErrors extends BaseDL4JTest { - - @Rule - public TemporaryFolder temp = new TemporaryFolder(); - - @Test(timeout = 20000L) - public void testAllInvalidConfig() throws Exception { - //Invalid config - basically check that this actually terminates - - File f = temp.newFolder(); - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .addLayer(new DenseLayerSpace.Builder().nIn(4).nOut(new FixedValue<>(0)) //INVALID: nOut of 0 - .activation(Activation.TANH) - .build()) - .addLayer(new OutputLayerSpace.Builder().nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .build(); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(new TestDataProviderMnist(32, 3)) - .modelSaver(new FileModelSaver(f)).scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions( - new MaxCandidatesCondition(5)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration); - runner.execute(); - } - - - @Test(timeout = 20000L) - public void testAllInvalidDataConfigMismatch() throws Exception { - //Valid config - but mismatched with provided data - - File f = temp.newFolder(); - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .addLayer(new DenseLayerSpace.Builder().nIn(4).nOut(10) //INVALID: nOut of 0 - .activation(Activation.TANH) - .build()) - .addLayer(new OutputLayerSpace.Builder().nIn(10).nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .build(); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(new TestDataProviderMnist(32, 3)) - .modelSaver(new FileModelSaver(f)).scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions( - new MaxCandidatesCondition(5)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration); - runner.execute(); - } - - - @Test(timeout = 20000L) - public void testAllInvalidConfigCG() throws Exception { - //Invalid config - basically check that this actually terminates - - File f = temp.newFolder(); - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .addInputs("in") - .layer("0", new DenseLayerSpace.Builder().nIn(4).nOut(new FixedValue<>(0)) //INVALID: nOut of 0 - .activation(Activation.TANH) - .build(), "in") - .layer("1", new OutputLayerSpace.Builder().nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "0") - .setOutputs("1") - .build(); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(new TestDataProviderMnist(32, 3)) - .modelSaver(new FileModelSaver(f)).scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxCandidatesCondition(5)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration); - runner.execute(); - } - - - @Test(timeout = 20000L) - public void testAllInvalidDataConfigMismatchCG() throws Exception { - //Valid config - but mismatched with provided data - - File f = temp.newFolder(); - ComputationGraphSpace mls = new ComputationGraphSpace.Builder() - .addInputs("in") - .layer("0", new DenseLayerSpace.Builder().nIn(4).nOut(10) - .activation(Activation.TANH).build(), "in") - .addLayer("1", new OutputLayerSpace.Builder().nIn(10).nOut(3).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "0") - .setOutputs("1") - .build(); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls); - - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(new TestDataProviderMnist(32, 3)) - .modelSaver(new FileModelSaver(f)).scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions( - new MaxCandidatesCondition(5)) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - runner.execute(); - } - -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestLayerSpace.java deleted file mode 100644 index d331f1cda..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestLayerSpace.java +++ /dev/null @@ -1,321 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertFalse; -import static org.junit.Assert.assertTrue; - -import org.apache.commons.lang3.ArrayUtils; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.TestUtils; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.ActivationLayerSpace; -import org.deeplearning4j.arbiter.layers.BatchNormalizationSpace; -import org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace; -import org.deeplearning4j.arbiter.layers.Deconvolution2DLayerSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.EmbeddingLayerSpace; -import org.deeplearning4j.arbiter.layers.GravesBidirectionalLSTMLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.BooleanSpace; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.nn.api.layers.LayerConstraint; -import org.deeplearning4j.nn.conf.constraint.MaxNormConstraint; -import org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint; -import org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint; -import org.deeplearning4j.nn.conf.constraint.UnitNormConstraint; -import org.deeplearning4j.nn.conf.layers.ActivationLayer; -import org.deeplearning4j.nn.conf.layers.BatchNormalization; -import org.deeplearning4j.nn.conf.layers.Convolution2D; -import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; -import org.deeplearning4j.nn.conf.layers.Deconvolution2D; -import org.deeplearning4j.nn.conf.layers.DenseLayer; -import org.deeplearning4j.nn.conf.layers.EmbeddingLayer; -import org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM; -import org.junit.Test; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.learning.config.Sgd; - -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; -import java.util.Random; - -public class TestLayerSpace extends BaseDL4JTest { - - @Test - public void testBasic1() { - DenseLayer expected = new DenseLayer.Builder().nOut(13).activation(Activation.RELU).build(); - - DenseLayerSpace space = new DenseLayerSpace.Builder().nOut(13).activation(Activation.RELU).build(); - - int nParam = space.numParameters(); - assertEquals(0, nParam); - DenseLayer actual = space.getValue(new double[nParam]); - - assertEquals(expected, actual); - } - - @Test - public void testBasic2() { - - Activation[] actFns = new Activation[]{Activation.SOFTSIGN, Activation.RELU, Activation.LEAKYRELU}; - Random r = new Random(12345); - - for (int i = 0; i < 20; i++) { - - new DenseLayer.Builder().build(); - - DenseLayerSpace ls = - new DenseLayerSpace.Builder().nOut(20) - .updater(new SgdSpace(new ContinuousParameterSpace(0.3, 0.4))) - .l2(new ContinuousParameterSpace(0.01, 0.1)) - .activation(new DiscreteParameterSpace<>(actFns)).build(); - - //Set the parameter numbers... - List list = ls.collectLeaves(); - int k = 0; - for (int j = 0; j < list.size(); j++) { - if (list.get(j).numParameters() > 0) { - list.get(j).setIndices(k++); - } - } - - int nParam = ls.numParameters(); - assertEquals(3, nParam); - - double[] d = new double[nParam]; - for (int j = 0; j < d.length; j++) { - d[j] = r.nextDouble(); - } - - DenseLayer l = ls.getValue(d); - - assertEquals(20, l.getNOut()); - double lr = ((Sgd) l.getIUpdater()).getLearningRate(); - double l2 = TestUtils.getL2(l); - IActivation activation = l.getActivationFn(); - -// System.out.println(lr + "\t" + l2 + "\t" + activation); - - assertTrue(lr >= 0.3 && lr <= 0.4); - assertTrue(l2 >= 0.01 && l2 <= 0.1); - assertTrue(containsActivationFunction(actFns, activation)); - } - } - - @Test - public void testBatchNorm() { - BatchNormalizationSpace sp = new BatchNormalizationSpace.Builder().gamma(1.5) - .beta(new ContinuousParameterSpace(2, 3)).lockGammaBeta(true).build(); - - //Set the parameter numbers... - List list = sp.collectLeaves(); - int k = 0; - for (int j = 0; j < list.size(); j++) { - if (list.get(j).numParameters() > 0) { - list.get(j).setIndices(k++); - } - } - - BatchNormalization bn = sp.getValue(new double[]{0.6}); - assertTrue(bn.isLockGammaBeta()); - assertEquals(1.5, bn.getGamma(), 0.0); - assertEquals(0.6 * (3 - 2) + 2, bn.getBeta(), 1e-4); - } - - @Test - public void testBatchNormConstrain() { - - ArrayList> constrainListOptions = new ArrayList>(); - constrainListOptions.add(Collections.singletonList((LayerConstraint) new MaxNormConstraint(0.5, 1))); - constrainListOptions.add(Collections.singletonList((LayerConstraint) new MinMaxNormConstraint(0.3, 0.4, 1.0, 1))); - constrainListOptions.add(Collections.singletonList((LayerConstraint) new NonNegativeConstraint())); - constrainListOptions.add(Collections.singletonList((LayerConstraint) new UnitNormConstraint(1))); - - DiscreteParameterSpace> constrainParamSpace = new DiscreteParameterSpace<>(constrainListOptions); - BatchNormalizationSpace sp = new BatchNormalizationSpace.Builder().gamma(1.5) - .beta(0.6).lockGammaBeta(true).constrainBeta(constrainParamSpace).constrainGamma(new NonNegativeConstraint()).build(); - - BatchNormalization bnExpected = new BatchNormalization.Builder().gamma(1.5) - .beta(0.6).lockGammaBeta(true).constrainBeta(new NonNegativeConstraint()).constrainGamma(new NonNegativeConstraint()).build(); - //Set the parameter numbers... - List list = sp.collectLeaves(); - int k = 0; - for( - int j = 0; j 0) { - list.get(j).setIndices(k++); - } - } - - assertEquals(1,sp.getNumParameters()); - BatchNormalization bn = sp.getValue(new double[]{0.6}); - assertEquals(bnExpected,bn); //0.6 should pick the 3rd value in discrete param space - - //assertEquals(bn.getConstraints().size(),2); This throws an NPE but I believe this is an issue with actual impl of BatchNormalization not arbiter -} - - @Test - public void testActivationLayer() { - Activation[] actFns = new Activation[]{Activation.SOFTSIGN, Activation.RELU, Activation.LEAKYRELU}; - - ActivationLayerSpace als = - new ActivationLayerSpace.Builder().activation(new DiscreteParameterSpace<>(actFns)).build(); - //Set the parameter numbers... - List list = als.collectLeaves(); - for (int j = 0; j < list.size(); j++) { - list.get(j).setIndices(j); - } - - int nParam = als.numParameters(); - assertEquals(1, nParam); - - Random r = new Random(12345); - - for (int i = 0; i < 20; i++) { - - double[] d = new double[nParam]; - for (int j = 0; j < d.length; j++) { - d[j] = r.nextDouble(); - } - - ActivationLayer al = als.getValue(d); - IActivation activation = al.getActivationFn(); - - assertTrue(containsActivationFunction(actFns, activation)); - } - } - - @Test - public void testEmbeddingLayer() { - - Activation[] actFns = new Activation[]{Activation.SOFTSIGN, Activation.RELU, Activation.LEAKYRELU}; - - EmbeddingLayerSpace els = new EmbeddingLayerSpace.Builder().activation(new DiscreteParameterSpace<>(actFns)) - .nIn(10).nOut(new IntegerParameterSpace(10, 20)).build(); - //Set the parameter numbers... - List list = els.collectLeaves(); - int k = 0; - for (int j = 0; j < list.size(); j++) { - if (list.get(j).numParameters() > 0) { - list.get(j).setIndices(k++); - } - } - - int nParam = els.numParameters(); - assertEquals(2, nParam); - - Random r = new Random(12345); - - for (int i = 0; i < 20; i++) { - - double[] d = new double[nParam]; - for (int j = 0; j < d.length; j++) { - d[j] = r.nextDouble(); - } - - EmbeddingLayer el = els.getValue(d); - IActivation activation = el.getActivationFn(); - long nOut = el.getNOut(); - - assertTrue(containsActivationFunction(actFns, activation)); - assertTrue(nOut >= 10 && nOut <= 20); - } - } - - @Test - public void testSimpleConv() { - ConvolutionLayer conv2d = new Convolution2D.Builder().dilation(1,2).kernelSize(2,2).nIn(2).nOut(3).build(); - ConvolutionLayerSpace conv2dSpace = new ConvolutionLayerSpace.Builder().dilation(1,2).kernelSize(2,2).nIn(2).nOut(3).build(); - assertEquals(0,conv2dSpace.getNumParameters()); - assertEquals(conv2d, conv2dSpace.getValue(new double[0])); - - Deconvolution2DLayerSpace deconvd2dls = new Deconvolution2DLayerSpace.Builder().dilation(2,1).nIn(2).nOut(2).hasBias(new BooleanSpace()).build(); - assertEquals(1, deconvd2dls.getNumParameters()); - //Set the parameter numbers... - List list = deconvd2dls.collectLeaves(); - int k = 0; - for( - int j = 0; j 0) { - list.get(j).setIndices(k++); - } - } - Deconvolution2D actual = deconvd2dls.getValue(new double[]{0.9}); - assertFalse(actual.hasBias()); - assertEquals(ArrayUtils.toString(new int[] {2,1} ),ArrayUtils.toString(actual.getDilation())); - } - - @Test - public void testGravesBidirectionalLayer() { - - Activation[] actFns = new Activation[]{Activation.SOFTSIGN, Activation.RELU, Activation.LEAKYRELU}; - - GravesBidirectionalLSTMLayerSpace ls = - new GravesBidirectionalLSTMLayerSpace.Builder().activation(new DiscreteParameterSpace<>(actFns)) - .forgetGateBiasInit(new ContinuousParameterSpace(0.5, 0.8)).nIn(10) - .nOut(new IntegerParameterSpace(10, 20)).build(); - //Set the parameter numbers... - List list = ls.collectLeaves(); - int k = 0; - for (int j = 0; j < list.size(); j++) { - if (list.get(j).numParameters() > 0) { - list.get(j).setIndices(k++); - } - } - - int nParam = ls.numParameters(); - assertEquals(3, nParam); //Excluding fixed value for nIn - - Random r = new Random(12345); - - for (int i = 0; i < 20; i++) { - - double[] d = new double[nParam]; - for (int j = 0; j < d.length; j++) { - d[j] = r.nextDouble(); - } - - GravesBidirectionalLSTM el = ls.getValue(d); - IActivation activation = el.getActivationFn(); - long nOut = el.getNOut(); - double forgetGate = el.getForgetGateBiasInit(); - - assertTrue(containsActivationFunction(actFns, activation)); - assertTrue(nOut >= 10 && nOut <= 20); - assertTrue(forgetGate >= 0.5 && forgetGate <= 0.8); - } - } - - private static boolean containsActivationFunction(Activation[] activationFunctions, - IActivation activationFunction) { - for (Activation af : activationFunctions) { - if (activationFunction.equals(af.getActivationFunction())) - return true; - } - return false; - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestMultiLayerSpace.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestMultiLayerSpace.java deleted file mode 100644 index 78497ef8d..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestMultiLayerSpace.java +++ /dev/null @@ -1,827 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.DL4JConfiguration; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.TestUtils; -import org.deeplearning4j.arbiter.conf.updater.AdamSpace; -import org.deeplearning4j.arbiter.conf.updater.NesterovsSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.*; -import org.deeplearning4j.arbiter.optimize.api.Candidate; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.parameter.FixedValue; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.math.MathOp; -import org.deeplearning4j.arbiter.optimize.parameter.math.Op; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.arbiter.util.LeafUtils; -import org.deeplearning4j.datasets.iterator.ExistingDataSetIterator; -import org.deeplearning4j.nn.conf.ConvolutionMode; -import org.deeplearning4j.nn.conf.MultiLayerConfiguration; -import org.deeplearning4j.nn.conf.NeuralNetConfiguration; -import org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint; -import org.deeplearning4j.nn.conf.constraint.UnitNormConstraint; -import org.deeplearning4j.nn.conf.dropout.Dropout; -import org.deeplearning4j.nn.conf.dropout.IDropout; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.conf.layers.BaseLayer; -import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; -import org.deeplearning4j.nn.conf.layers.DenseLayer; -import org.deeplearning4j.nn.conf.layers.FeedForwardLayer; -import org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer; -import org.deeplearning4j.nn.conf.layers.GravesLSTM; -import org.deeplearning4j.nn.conf.layers.LSTM; -import org.deeplearning4j.nn.conf.layers.OutputLayer; -import org.deeplearning4j.nn.conf.layers.PoolingType; -import org.deeplearning4j.nn.conf.layers.SubsamplingLayer; -import org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution; -import org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution; -import org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution; -import org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder; -import org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.deeplearning4j.nn.weights.WeightInit; -import org.junit.BeforeClass; -import org.junit.Rule; -import org.junit.Test; -import org.junit.rules.TemporaryFolder; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.activations.IActivation; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.dataset.DataSet; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.linalg.learning.config.Nesterovs; -import org.nd4j.linalg.learning.config.Sgd; -import org.nd4j.linalg.lossfunctions.ILossFunction; -import org.nd4j.linalg.lossfunctions.LossFunctions; -import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction; -import org.nd4j.linalg.lossfunctions.impl.LossMCXENT; -import org.nd4j.linalg.lossfunctions.impl.LossMSE; -import org.nd4j.common.primitives.Pair; - -import java.io.File; -import java.lang.reflect.Field; -import java.util.*; - -import static org.junit.Assert.*; - -public class TestMultiLayerSpace extends BaseDL4JTest { - - @Rule - public TemporaryFolder testDir = new TemporaryFolder(); - - @BeforeClass - public static void before(){ - Nd4j.setDefaultDataTypes(DataType.FLOAT, DataType.FLOAT); - } - - @Test - public void testBasic() { - - MultiLayerConfiguration expected = - new NeuralNetConfiguration.Builder() - .updater(new Sgd(0.005)).seed(12345).list() - .layer(0, new DenseLayer.Builder().nIn(10).nOut(10).build()) - .layer(1, new DenseLayer.Builder().nIn(10).nOut(10).build()).layer(2, - new OutputLayer.Builder().lossFunction(LossFunction.MCXENT) - .activation(Activation.SOFTMAX).nIn(10).nOut(5).build()) - - .build(); - - MultiLayerSpace mls = - new MultiLayerSpace.Builder() - .updater(new Sgd(0.005)).seed(12345) - .addLayer(new DenseLayerSpace.Builder().nIn(10).nOut(10).build(), - new FixedValue<>(2)) //2 identical layers - .addLayer(new OutputLayerSpace.Builder().lossFunction(LossFunction.MCXENT) - .activation(Activation.SOFTMAX) - .nIn(10).nOut(5).build()).build(); - - int nParams = mls.numParameters(); - assertEquals(0, nParams); - - MultiLayerConfiguration conf = mls.getValue(new double[0]).getMultiLayerConfiguration(); - - assertEquals(expected, conf); - } - - @Test - public void testBasic0() { - MultiLayerConfiguration expected = - new NeuralNetConfiguration.Builder() - .l1Bias(0.4) - .l2Bias(0.5) - .constrainBias(new NonNegativeConstraint()) - .updater(new Sgd(0.005)).seed(12345).list() - .layer(0, new DenseLayer.Builder().l1Bias(0.6).nIn(10).nOut(10).build()) - .layer(1, new DenseLayer.Builder().l2Bias(0.7).constrainBias(new UnitNormConstraint()).nIn(10).nOut(10).build()).layer(2, - new OutputLayer.Builder().lossFunction(LossFunction.MCXENT).activation(Activation.SOFTMAX) - .nIn(10).nOut(5).build()) - .build(); - - MultiLayerSpace mls = - new MultiLayerSpace.Builder() - .l1Bias(0.4) - .l2Bias(0.5) - .constrainBias(new NonNegativeConstraint()) - .updater(new Sgd(0.005)).seed(12345) - .addLayer(new DenseLayerSpace.Builder().l1Bias(new ContinuousParameterSpace(0,1)).nIn(10).nOut(10).build()) - .addLayer(new DenseLayerSpace.Builder().l2Bias(0.7).constrainBias(new UnitNormConstraint()).nIn(10).nOut(10).build()) - .addLayer(new OutputLayerSpace.Builder().lossFunction(LossFunction.MCXENT).activation(Activation.SOFTMAX) - .nIn(10).nOut(5).build()) - .build(); - - int nParams = mls.numParameters(); - assertEquals(1, nParams); - - //Assign numbers to each leaf ParameterSpace object (normally done by candidate generator - manual here for testing) - List noDuplicatesList = LeafUtils.getUniqueObjects(mls.collectLeaves()); - - //Second: assign each a number - int c = 0; - for (ParameterSpace ps : noDuplicatesList) { - int np = ps.numParameters(); - if (np == 1) { - ps.setIndices(c++); - } else { - int[] values = new int[np]; - for (int j = 0; j < np; j++) - values[c++] = j; - ps.setIndices(values); - } - } - MultiLayerConfiguration conf = mls.getValue(new double[] {0.6}).getMultiLayerConfiguration(); - - assertEquals(expected, conf); - } - - @Test - public void testILossFunctionGetsSet() { - ILossFunction lossFunction = new LossMCXENT(Nd4j.create(new float[] {1f, 2f}, new long[]{1,2})); - - MultiLayerConfiguration expected = - new NeuralNetConfiguration.Builder().updater(new Sgd(0.005)).seed(12345).list() - .layer(0, new DenseLayer.Builder().nIn(10).nOut(10).build()) - .layer(1, new DenseLayer.Builder().nIn(10).nOut(10).build()).layer(2, - new OutputLayer.Builder().lossFunction(lossFunction) - .activation(Activation.SOFTMAX).nIn(10).nOut(5).build()) - .build(); - - MultiLayerSpace mls = new MultiLayerSpace.Builder().updater(new Sgd(0.005)).seed(12345) - .addLayer(new DenseLayerSpace.Builder().nIn(10).nOut(10).build(), new FixedValue<>(2)) //2 identical layers - .addLayer(new OutputLayerSpace.Builder().iLossFunction(lossFunction).activation(Activation.SOFTMAX).nIn(10).nOut(5).build()) - .build(); - - int nParams = mls.numParameters(); - assertEquals(0, nParams); - - MultiLayerConfiguration conf = mls.getValue(new double[0]).getMultiLayerConfiguration(); - - assertEquals(expected, conf); - } - - @Test - public void testBasic2() { - - MultiLayerSpace mls = - new MultiLayerSpace.Builder().updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.2, 0.5)) - .convolutionMode(ConvolutionMode.Same) - .addLayer(new ConvolutionLayerSpace.Builder().nIn(3).nOut(3).kernelSize(2, 2) - .stride(1, 1).build()) - .addLayer(new DenseLayerSpace.Builder().nIn(10).nOut(10) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.TANH)) - .build(), new IntegerParameterSpace(1, 3)) //1-3 identical layers - .addLayer(new OutputLayerSpace.Builder().nIn(10).nOut(10) - .activation(Activation.SOFTMAX).build()) - .build(); - - int nParams = mls.numParameters(); - assertEquals(4, nParams); - - //Assign numbers to each leaf ParameterSpace object (normally done by candidate generator - manual here for testing) - List noDuplicatesList = LeafUtils.getUniqueObjects(mls.collectLeaves()); - - //Second: assign each a number - int c = 0; - for (ParameterSpace ps : noDuplicatesList) { - int np = ps.numParameters(); - if (np == 1) { - ps.setIndices(c++); - } else { - int[] values = new int[np]; - for (int j = 0; j < np; j++) - values[c++] = j; - ps.setIndices(values); - } - } - - - int[] nLayerCounts = new int[3]; - int reluCount = 0; - int tanhCount = 0; - - Random r = new Random(12345); - - for (int i = 0; i < 50; i++) { - - double[] rvs = new double[nParams]; - for (int j = 0; j < rvs.length; j++) - rvs[j] = r.nextDouble(); - - - MultiLayerConfiguration conf = mls.getValue(rvs).getMultiLayerConfiguration(); - - int nLayers = conf.getConfs().size(); - assertTrue(nLayers >= 3 && nLayers <= 5); //1 conv + 1-3 dense layers + 1 output layer: 2 to 4 - - int nLayersExOutputLayer = nLayers - 1; - nLayerCounts[nLayersExOutputLayer - 2]++; - - for (int j = 0; j < nLayers; j++) { - NeuralNetConfiguration layerConf = conf.getConf(j); - - double lr = ((Sgd)((BaseLayer) layerConf.getLayer()).getIUpdater()).getLearningRate(); - assertTrue(lr >= 0.0001 && lr <= 0.1); - double l2 = TestUtils.getL2((BaseLayer) layerConf.getLayer()); - assertTrue(l2 >= 0.2 && l2 <= 0.5); - - if (j == nLayers - 1) { //Output layer - assertEquals(Activation.SOFTMAX.getActivationFunction(), ((BaseLayer) layerConf.getLayer()).getActivationFn()); - } else if (j == 0) { - //Conv layer - ConvolutionLayer cl = (ConvolutionLayer) layerConf.getLayer(); - assertEquals(3, cl.getNIn()); - assertEquals(3, cl.getNOut()); - assertEquals(ConvolutionMode.Same, cl.getConvolutionMode()); - } else { - IActivation actFn = ((BaseLayer) layerConf.getLayer()).getActivationFn(); - assertTrue(Activation.RELU.getActivationFunction().equals(actFn) || - Activation.TANH.getActivationFunction().equals(actFn)); - if (Activation.RELU.getActivationFunction().equals(actFn)) - reluCount++; - else - tanhCount++; - } - } - } - - for (int i = 0; i < 3; i++) { - assertTrue(nLayerCounts[i] >= 5); //Expect approx equal (50/3 each), but some variation randomly - } - -// System.out.println("Number of layers: " + Arrays.toString(nLayerCounts)); -// System.out.println("ReLU vs. Tanh: " + reluCount + "\t" + tanhCount); - - } - - @Test - public void testGlobalPoolingBasic() { - - MultiLayerConfiguration expected = new NeuralNetConfiguration.Builder().updater(new Sgd(0.005)).seed(12345).list() - .layer(0, new GravesLSTM.Builder().nIn(10).nOut(10).build()) - .layer(1, new GlobalPoolingLayer.Builder().poolingType(PoolingType.SUM).pnorm(7).build()) - .layer(2, new OutputLayer.Builder().lossFunction(LossFunction.MCXENT).activation(Activation.SOFTMAX).nIn(10).nOut(5).build()) - .build(); - - MultiLayerSpace mls = - new MultiLayerSpace.Builder().updater(new Sgd(0.005)).seed(12345) - .addLayer(new GravesLSTMLayerSpace.Builder().nIn(10).nOut(10).build()) - .addLayer(new GlobalPoolingLayerSpace.Builder().poolingType(PoolingType.SUM) - .pNorm(7).build()) - .addLayer(new OutputLayerSpace.Builder().lossFunction(LossFunction.MCXENT) - .activation(Activation.SOFTMAX) - .nIn(10).nOut(5).build()) - .build(); - - int nParams = mls.numParameters(); - assertEquals(0, nParams); - - MultiLayerConfiguration conf = mls.getValue(new double[0]).getMultiLayerConfiguration(); - - assertEquals(expected, conf); - } - - - @Test - public void testVariationalAutoencoderLayerSpaceBasic() { - MultiLayerSpace mls = - new MultiLayerSpace.Builder() - .updater(new Sgd(0.005)).seed( - 12345) - .addLayer(new VariationalAutoencoderLayerSpace.Builder() - .nIn(new IntegerParameterSpace(50, 75)).nOut(200) - .encoderLayerSizes(234, 567).decoderLayerSizes(123, 456) - .reconstructionDistribution( - new DiscreteParameterSpace( - new GaussianReconstructionDistribution(), - new BernoulliReconstructionDistribution())) - .build()) - .build(); - - int numParams = mls.numParameters(); - - //Assign numbers to each leaf ParameterSpace object (normally done by candidate generator - manual here for testing) - List noDuplicatesList = LeafUtils.getUniqueObjects(mls.collectLeaves()); - - //Second: assign each a number - int c = 0; - for (ParameterSpace ps : noDuplicatesList) { - int np = ps.numParameters(); - if (np == 1) { - ps.setIndices(c++); - } else { - int[] values = new int[np]; - for (int j = 0; j < np; j++) - values[c++] = j; - ps.setIndices(values); - } - } - - double[] zeros = new double[numParams]; - - DL4JConfiguration configuration = mls.getValue(zeros); - - MultiLayerConfiguration conf = configuration.getMultiLayerConfiguration(); - assertEquals(1, conf.getConfs().size()); - - NeuralNetConfiguration nnc = conf.getConf(0); - VariationalAutoencoder vae = (VariationalAutoencoder) nnc.getLayer(); - - assertEquals(50, vae.getNIn()); - assertEquals(200, vae.getNOut()); - - assertArrayEquals(new int[] {234, 567}, vae.getEncoderLayerSizes()); - assertArrayEquals(new int[] {123, 456}, vae.getDecoderLayerSizes()); - - assertTrue(vae.getOutputDistribution() instanceof GaussianReconstructionDistribution); - - - - double[] ones = new double[numParams]; - Arrays.fill(ones, 1.0); - - configuration = mls.getValue(ones); - - conf = configuration.getMultiLayerConfiguration(); - assertEquals(1, conf.getConfs().size()); - - nnc = conf.getConf(0); - vae = (VariationalAutoencoder) nnc.getLayer(); - - assertEquals(75, vae.getNIn()); - assertEquals(200, vae.getNOut()); - - assertArrayEquals(new int[] {234, 567}, vae.getEncoderLayerSizes()); - assertArrayEquals(new int[] {123, 456}, vae.getDecoderLayerSizes()); - - assertTrue(vae.getOutputDistribution() instanceof BernoulliReconstructionDistribution); - } - - @Test - public void testInputTypeBasic() throws Exception { - - ParameterSpace layerSizeHyperparam = new IntegerParameterSpace(20, 60); - - MultiLayerSpace hyperparameterSpace = new MultiLayerSpace.Builder().l2(0.0001) - .weightInit(WeightInit.XAVIER).updater(new Nesterovs()) - .addLayer(new ConvolutionLayerSpace.Builder().kernelSize(5, 5).nIn(1).stride(1, 1) - .nOut(layerSizeHyperparam).activation(Activation.IDENTITY).build()) - .addLayer(new SubsamplingLayerSpace.Builder().poolingType(SubsamplingLayer.PoolingType.MAX) - .kernelSize(2, 2).stride(2, 2).build()) - .addLayer(new ConvolutionLayerSpace.Builder().kernelSize(5, 5) - //Note that nIn need not be specified in later layers - .stride(1, 1).nOut(50).activation(Activation.IDENTITY).build()) - .addLayer(new SubsamplingLayerSpace.Builder().poolingType(SubsamplingLayer.PoolingType.MAX) - .kernelSize(2, 2).stride(2, 2).build()) - .addLayer(new DenseLayerSpace.Builder().activation(Activation.RELU).nOut(500).build()) - .addLayer(new OutputLayerSpace.Builder() - .lossFunction(LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD).nOut(10) - .activation(Activation.SOFTMAX).build()) - .setInputType(InputType.convolutionalFlat(28, 28, 1)).build(); - - - DataProvider dataProvider = new TestDataSetProvider(); - - File f = testDir.newFolder(); - if (f.exists()) - f.delete(); - f.mkdir(); - ResultSaver modelSaver = new FileModelSaver(f.getAbsolutePath()); - - ScoreFunction scoreFunction = new TestSetAccuracyScoreFunction(); - - int maxCandidates = 4; - TerminationCondition[] terminationConditions; - terminationConditions = new TerminationCondition[] {new MaxCandidatesCondition(maxCandidates)}; - - //Given these configuration options, let's put them all together: - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(new RandomSearchGenerator(hyperparameterSpace, null)) - .dataProvider(dataProvider).modelSaver(modelSaver).scoreFunction(scoreFunction) - .terminationConditions(terminationConditions).build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - runner.execute(); - - assertEquals(maxCandidates, runner.getResults().size()); - } - - - @Test - public void testSameRanges() { - - ParameterSpace l1Hyperparam = new ContinuousParameterSpace(0.001, 0.1); - ParameterSpace l2Hyperparam = new ContinuousParameterSpace(0.001, 0.1); - - MultiLayerSpace hyperparameterSpace = - new MultiLayerSpace.Builder().addLayer(new DenseLayerSpace.Builder().nIn(10).nOut(10).build()) - .l1(l1Hyperparam).l2(l2Hyperparam).build(); - - CandidateGenerator c = new RandomSearchGenerator(hyperparameterSpace, null); - - Candidate candidate = c.getCandidate(); - } - - @Test - public void testWeightedLossFunction() { - - MultiLayerConfiguration expected = - new NeuralNetConfiguration.Builder().updater(new Sgd(0.005)).seed(12345).list() - .layer(0, new DenseLayer.Builder().nIn(10).nOut(10).build()) - .layer(1, new DenseLayer.Builder().nIn(10).nOut(10).build()).layer(2, - new OutputLayer.Builder() - .lossFunction(new LossMSE(Nd4j.create( - new double[] {1, 2, 3, 4, 5}, new long[]{1,5}))) - .nIn(10).nOut(5).build()) - .build(); - - MultiLayerSpace mls = - new MultiLayerSpace.Builder().updater(new Sgd(0.005)).seed(12345) - .addLayer(new DenseLayerSpace.Builder().nIn(10).nOut(10).build(), - new FixedValue<>(2)) //2 identical layers - .addLayer(new OutputLayerSpace.Builder() - .iLossFunction(new LossMSE(Nd4j.create(new double[] {1, 2, 3, 4, 5}, new long[]{1,5}))) - .nIn(10).nOut(5).build()) - .build(); - - int nParams = mls.numParameters(); - assertEquals(0, nParams); - - MultiLayerConfiguration conf = mls.getValue(new double[0]).getMultiLayerConfiguration(); - - assertEquals(expected, conf); - - String json = mls.toJson(); - MultiLayerSpace fromJson = MultiLayerSpace.fromJson(json); - - assertEquals(mls, fromJson); - } - - - @Test - public void testBidirectional() throws Exception { - - MultiLayerSpace mls = - new MultiLayerSpace.Builder().updater(new Sgd(0.005)) - .seed(12345) - .layer(new Bidirectional(new LSTMLayerSpace.Builder() - .nIn(10).nOut(10).build())) - .build(); - - DL4JConfiguration conf = mls.getValue(new double[0]); - MultiLayerConfiguration c2 = conf.getMultiLayerConfiguration(); - - MultiLayerNetwork net = new MultiLayerNetwork(c2); - net.init(); - - assertEquals(1, net.getnLayers()); - assertTrue(net.getLayer(0) instanceof BidirectionalLayer); - BidirectionalLayer bl = (BidirectionalLayer)net.getLayer(0); - - Field f = BidirectionalLayer.class.getDeclaredField("fwd"); - Field b = BidirectionalLayer.class.getDeclaredField("bwd"); - f.setAccessible(true); - b.setAccessible(true); - org.deeplearning4j.nn.layers.recurrent.LSTM lstmFwd = (org.deeplearning4j.nn.layers.recurrent.LSTM) f.get(bl); - org.deeplearning4j.nn.layers.recurrent.LSTM lstmBwd = (org.deeplearning4j.nn.layers.recurrent.LSTM) b.get(bl); - - assertEquals(10, ((LSTM)lstmFwd.conf().getLayer()).getNIn()); - assertEquals(10, ((LSTM)lstmFwd.conf().getLayer()).getNOut()); - assertEquals(10, ((LSTM)lstmBwd.conf().getLayer()).getNIn()); - assertEquals(10, ((LSTM)lstmBwd.conf().getLayer()).getNOut()); - } - - - @Test - public void testMathOps() { - - ParameterSpace firstLayerSize = new IntegerParameterSpace(10,30); - ParameterSpace secondLayerSize = new MathOp<>(firstLayerSize, Op.MUL, 3); - ParameterSpace firstLayerLR = new ContinuousParameterSpace(0.01, 0.1); - ParameterSpace secondLayerLR = new MathOp<>(firstLayerLR, Op.ADD, 0.2); - - MultiLayerSpace mls = - new MultiLayerSpace.Builder().updater(new Sgd(0.005)) - .seed(12345) - .layer(new DenseLayerSpace.Builder().nOut(firstLayerSize) - .updater(new AdamSpace(firstLayerLR)) - .build()) - .layer(new OutputLayerSpace.Builder().nOut(secondLayerSize) - .updater(new AdamSpace(secondLayerLR)) - .activation(Activation.SOFTMAX) - .build()) - .setInputType(InputType.feedForward(10)) - .build(); - - int nParams = mls.numParameters(); - assertEquals(2, nParams); - - new RandomSearchGenerator(mls, null); //Initializes the indices - - Random r = new Random(12345); - for( int i=0; i<10; i++ ){ - double[] d = new double[nParams]; - for( int j=0; j dropout = new DiscreteParameterSpace<>(0.0, 0.5); - - MultiLayerSpace mls = - new MultiLayerSpace.Builder().updater(new Sgd(0.005)) - .dropOut(dropout) - .seed(12345) - .layer(new DenseLayerSpace.Builder().nOut(10) - .build()) - .layer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .build()) - .setInputType(InputType.feedForward(10)) - .build(); - - int nParams = mls.numParameters(); - assertEquals(1, nParams); - - new RandomSearchGenerator(mls, null); //Initializes the indices - - Random r = new Random(12345); - int countNull = 0; - int count05 = 0; - for( int i=0; i<10; i++ ){ - double[] d = new double[nParams]; - for( int j=0; j 0); - assertTrue(count05 > 0); - } - - - private static class TestDataSetProvider implements DataProvider { - - @Override - public Object trainData(Map dataParameters) { - return new ExistingDataSetIterator( - Collections.singletonList(new DataSet(Nd4j.create(1, 1, 28, 28), Nd4j.create(1,10)))); - } - - @Override - public Object testData(Map dataParameters) { - return new ExistingDataSetIterator( - Collections.singletonList(new DataSet(Nd4j.create(1, 1, 28, 28), Nd4j.create(1,10)))); - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - } - - - @Test - public void testDropout(){ - - MultiLayerSpace mls = new MultiLayerSpace.Builder().updater(new Sgd(0.005)).seed(12345) - .addLayer(new ConvolutionLayerSpace.Builder().nOut(2) - .dropOut(new ContinuousParameterSpace(0.4,0.6)) - .build()) - .addLayer(new GlobalPoolingLayerSpace.Builder().dropOut(new ContinuousParameterSpace(0.4,0.6)).build()) - .addLayer(new OutputLayerSpace.Builder().activation(Activation.SOFTMAX).nIn(10).nOut(5).build()) - .setInputType(InputType.convolutional(28, 28, 1)) - .build(); - - int nParams = mls.numParameters(); - List l = LeafUtils.getUniqueObjects(mls.collectLeaves()); - int x=0; - for( ParameterSpace p : l){ - int n = p.numParameters(); - int[] arr = new int[n]; - for(int i=0; i l = LeafUtils.getUniqueObjects(mls.collectLeaves()); - int x=0; - for( ParameterSpace p : l){ - int n = p.numParameters(); - int[] arr = new int[n]; - for(int i=0; i learningRateHyperparam = new DiscreteParameterSpace<>(0.003, 0.005, 0.01, 0.05); - ParameterSpace layerSizeHyperparam1 = new DiscreteParameterSpace<>(32, 64, 96, 128); - ParameterSpace layerSizeHyperparam2 = new DiscreteParameterSpace<>(32, 64, 96, 128); - ParameterSpace dropoutHyperparam = new DiscreteParameterSpace<>(0.8, 0.9); - - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .updater(new AdamSpace(learningRateHyperparam)) - .weightInit(WeightInit.XAVIER) - .l2(0.0001) - .addLayer(new DenseLayerSpace.Builder() - .nIn(10) - .nOut(layerSizeHyperparam1) - .build()) - .addLayer(new BatchNormalizationSpace.Builder() - .nOut(layerSizeHyperparam1) - .activation(Activation.RELU) - .build()) - .addLayer(new DropoutLayerSpace.Builder() - .dropOut(dropoutHyperparam) - .build()) - .addLayer(new DenseLayerSpace.Builder() - .nOut(layerSizeHyperparam2) - .build()) - .addLayer(new BatchNormalizationSpace.Builder() - .nOut(layerSizeHyperparam2) - .activation(Activation.RELU) - .build()) - .addLayer(new DropoutLayerSpace.Builder() - .dropOut(dropoutHyperparam) - .build()) - .addLayer(new OutputLayerSpace.Builder() - .nOut(10) - .activation(Activation.SOFTMAX) - .lossFunction(LossFunction.MCXENT) - .build()) - .build(); - - assertEquals(4, mls.getNumParameters()); - - for( int discreteCount : new int[]{1, 5}) { - GridSearchCandidateGenerator generator = new GridSearchCandidateGenerator(mls, discreteCount, GridSearchCandidateGenerator.Mode.Sequential, null); - - int expCandidates = 4 * 4 * 4 * 2; - assertEquals(expCandidates, generator.getTotalNumCandidates()); - - int count = 0; - while (generator.hasMoreCandidates()) { - generator.getCandidate(); - count++; - } - - - assertEquals(expCandidates, count); - } - } - - - @Test - public void testGridCandidateGenerator(){ - ParameterSpace layerSizeParam = new DiscreteParameterSpace<>(32, 48, 64); - ParameterSpace learningRateParam = new DiscreteParameterSpace<>(0.005, 0.007, 0.01); - - MultiLayerSpace hyperParamaterSpace = new MultiLayerSpace.Builder() - .seed(12345) - .biasInit(1) - .l2(1e-4) - .updater(new NesterovsSpace(learningRateParam)) - .addLayer(new DenseLayerSpace.Builder().nIn(10).nOut(layerSizeParam) - .weightInit(WeightInit.XAVIER) - .activation(Activation.RELU) - .build()) - .addLayer(new DenseLayerSpace.Builder().nIn(layerSizeParam).nOut(layerSizeParam) - .weightInit(WeightInit.XAVIER) - .activation(Activation.RELU) - .build()) - .addLayer(new OutputLayerSpace.Builder() - .lossFunction(LossFunctions.LossFunction.MSE) - .weightInit(WeightInit.XAVIER) - .activation(Activation.SOFTMAX) - .nIn(layerSizeParam).nOut(10).build()) - .build(); - - CandidateGenerator candidateGenerator = new GridSearchCandidateGenerator(hyperParamaterSpace, 30, GridSearchCandidateGenerator.Mode.Sequential, null); -// CandidateGenerator candidateGenerator = new RandomSearchGenerator(hyperParamaterSpace); - - Set> expCandidates = new HashSet<>(); - for(Double d : new double[]{0.005, 0.007, 0.01}){ - for(int i : new int[]{32, 48, 64}){ - expCandidates.add(new Pair<>(d, i)); - } - } - - Set> actCandidates = new HashSet<>(); - while(candidateGenerator.hasMoreCandidates()) { - Candidate conf = candidateGenerator.getCandidate(); - MultiLayerConfiguration mlc = conf.getValue().getMultiLayerConfiguration(); - FeedForwardLayer ffl = ((FeedForwardLayer) mlc.getConf(0).getLayer()); - actCandidates.add(new Pair<>(ffl.getIUpdater().getLearningRate(0,0), (int)ffl.getNOut())); - } - - assertEquals(expCandidates, actCandidates); - } -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestScoreFunctions.java b/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestScoreFunctions.java deleted file mode 100644 index f2dc5d180..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/java/org/deeplearning4j/arbiter/multilayernetwork/TestScoreFunctions.java +++ /dev/null @@ -1,220 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.multilayernetwork; - -import lombok.AllArgsConstructor; -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.conf.updater.AdamSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.saving.InMemoryResultSaver; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultReference; -import org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.eval.ROC; -import org.deeplearning4j.eval.ROCBinary; -import org.deeplearning4j.eval.ROCMultiClass; -import org.deeplearning4j.nn.conf.WorkspaceMode; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.deeplearning4j.nn.weights.WeightInit; -import org.junit.Test; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.dataset.api.DataSet; -import org.nd4j.linalg.dataset.api.DataSetPreProcessor; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.io.IOException; -import java.util.List; -import java.util.Map; - -import static org.junit.Assert.assertEquals; - -@Slf4j -public class TestScoreFunctions extends BaseDL4JTest { - - - @Override - public long getTimeoutMilliseconds() { - return 60000L; - } - - @Test - public void testROCScoreFunctions() throws Exception { - - - for (boolean auc : new boolean[]{true, false}) { - for (ROCScoreFunction.ROCType rocType : ROCScoreFunction.ROCType.values()) { - String msg = (auc ? "AUC" : "AUPRC") + " - " + rocType; - log.info("Starting: " + msg); - - ParameterSpace lr = new ContinuousParameterSpace(1e-5, 1e-3); - - int nOut = (rocType == ROCScoreFunction.ROCType.ROC ? 2 : 10); - LossFunctions.LossFunction lf = (rocType == ROCScoreFunction.ROCType.BINARY ? - LossFunctions.LossFunction.XENT : LossFunctions.LossFunction.MCXENT); - Activation a = (rocType == ROCScoreFunction.ROCType.BINARY ? Activation.SIGMOID : Activation.SOFTMAX); - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .trainingWorkspaceMode(WorkspaceMode.NONE) - .inferenceWorkspaceMode(WorkspaceMode.NONE) - .updater(new AdamSpace(lr)) - .weightInit(WeightInit.XAVIER) - .layer(new OutputLayerSpace.Builder().nIn(784).nOut(nOut) - .activation(a) - .lossFunction(lf).build()) - .build(); - - CandidateGenerator cg = new RandomSearchGenerator(mls); - ResultSaver rs = new InMemoryResultSaver(); - ScoreFunction sf = new ROCScoreFunction(rocType, (auc ? ROCScoreFunction.Metric.AUC : ROCScoreFunction.Metric.AUPRC)); - - - OptimizationConfiguration oc = new OptimizationConfiguration.Builder() - .candidateGenerator(cg) - .dataProvider(new DP(rocType)) - .modelSaver(rs) - .scoreFunction(sf) - .terminationConditions(new MaxCandidatesCondition(3)) - .rngSeed(12345) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(oc, new MultiLayerNetworkTaskCreator()); - runner.execute(); - - List list = runner.getResults(); - - for (ResultReference rr : list) { - DataSetIterator testIter = new MnistDataSetIterator(4, 16, false, false, false, 12345); - testIter.setPreProcessor(new PreProc(rocType)); - - OptimizationResult or = rr.getResult(); - MultiLayerNetwork net = (MultiLayerNetwork) or.getResultReference().getResultModel(); - - double expScore; - switch (rocType){ - case ROC: - if(auc){ - expScore = net.doEvaluation(testIter, new ROC())[0].calculateAUC(); - } else { - expScore = net.doEvaluation(testIter, new ROC())[0].calculateAUCPR(); - } - break; - case BINARY: - if(auc){ - expScore = net.doEvaluation(testIter, new ROCBinary())[0].calculateAverageAuc(); - } else { - expScore = net.doEvaluation(testIter, new ROCBinary())[0].calculateAverageAUCPR(); - } - break; - case MULTICLASS: - if(auc){ - expScore = net.doEvaluation(testIter, new ROCMultiClass())[0].calculateAverageAUC(); - } else { - expScore = net.doEvaluation(testIter, new ROCMultiClass())[0].calculateAverageAUCPR(); - } - break; - default: - throw new RuntimeException(); - } - - - DataSetIterator iter = new MnistDataSetIterator(4, 16, false, false, false, 12345); - iter.setPreProcessor(new PreProc(rocType)); - - assertEquals(msg, expScore, or.getScore(), 1e-4); - } - } - } - } - - @AllArgsConstructor - public static class DP implements DataProvider { - - protected ROCScoreFunction.ROCType rocType; - - @Override - public Object trainData(Map dataParameters) { - try { - DataSetIterator iter = new MnistDataSetIterator(4, 16, false, false, false, 12345); - iter.setPreProcessor(new PreProc(rocType)); - return iter; - } catch (IOException e){ - throw new RuntimeException(e); - } - } - - @Override - public Object testData(Map dataParameters) { - try { - DataSetIterator iter = new MnistDataSetIterator(4, 16, false, false, false, 12345); - iter.setPreProcessor(new PreProc(rocType)); - return iter; - } catch (IOException e){ - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - } - - @AllArgsConstructor - public static class PreProc implements DataSetPreProcessor { - protected ROCScoreFunction.ROCType rocType; - - @Override - public void preProcess(DataSet toPreProcess) { - switch (rocType){ - case ROC: - //Convert to binary - long mb = toPreProcess.getLabels().size(0); - INDArray argMax = Nd4j.argMax(toPreProcess.getLabels(), 1); - INDArray newLabel = Nd4j.create(mb, 2); - for( int i=0; i dataParameters) { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(batchSize, true, 12345), terminationIter); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Object testData(Map dataParameters) { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(batchSize, false, 12345), terminationIter); - } catch (Exception e){ - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - - -} diff --git a/arbiter/arbiter-deeplearning4j/src/test/resources/logback.xml b/arbiter/arbiter-deeplearning4j/src/test/resources/logback.xml deleted file mode 100644 index 410bdaae9..000000000 --- a/arbiter/arbiter-deeplearning4j/src/test/resources/logback.xml +++ /dev/null @@ -1,51 +0,0 @@ - - - - - - logs/application.log - - %date - [%level] - from %logger in %thread - %n%message%n%xException%n - - - - - - %logger{15} - %message%n%xException{5} - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/arbiter/arbiter-server/pom.xml b/arbiter/arbiter-server/pom.xml deleted file mode 100644 index 26aa80b07..000000000 --- a/arbiter/arbiter-server/pom.xml +++ /dev/null @@ -1,69 +0,0 @@ - - - - - arbiter - org.deeplearning4j - 1.0.0-SNAPSHOT - - 4.0.0 - - arbiter-server - jar - - arbiter-server - - - UTF-8 - - - - - com.beust - jcommander - 1.27 - - - org.deeplearning4j - arbiter-deeplearning4j - ${project.version} - - - junit - junit - ${junit.version} - test - - - - org.deeplearning4j - deeplearning4j-common-tests - ${project.version} - test - - - - - - test-nd4j-native - - - test-nd4j-cuda-11.0 - - - diff --git a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/ArbiterCliGenerator.java b/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/ArbiterCliGenerator.java deleted file mode 100644 index 4ed0a9623..000000000 --- a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/ArbiterCliGenerator.java +++ /dev/null @@ -1,284 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server; - -import com.beust.jcommander.JCommander; -import com.beust.jcommander.Parameter; -import com.beust.jcommander.ParameterException; -import org.apache.commons.io.FileUtils; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.RegressionValue; -import org.deeplearning4j.arbiter.scoring.ScoreFunctions; - -import java.io.File; -import java.util.ArrayList; -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.concurrent.TimeUnit; - -/** - * Generate an {@link OptimizationConfiguration} - * via the command line interface. - * You can then use this configuration json file from - * {@link ArbiterCliRunner} - * - * @author Adam Gibson - */ -public class ArbiterCliGenerator { - @Parameter(names = {"--searchSpacePath"}) - private String searchSpacePath = null; - @Parameter(names = {"--candidateType"},required = true) - private String candidateType = null; - @Parameter(names = {"--discretizationCount"}) - private int discretizationCount = 5; - @Parameter(names = {"--gridSearchOrder"}) - private String gridSearchOrder = null; - @Parameter(names = {"--neuralNetType"},required = true) - private String neuralNetType = null; - @Parameter(names = {"--dataSetIteratorClass"},required = true) - private String dataSetIteratorClass = null; - @Parameter(names = {"--modelOutputPath"},required = true) - private String modelOutputPath = null; - @Parameter(names = {"--score"},required = true) - private String score = null; - @Parameter(names = {"--problemType"},required = true) - private String problemType = CLASSIFICIATION; - @Parameter(names = {"--configSavePath"},required = true) - private String configSavePath = null; - - @Parameter(names = {"--duration"},description = "The number of minutes to run for. Default is -1 which means run till convergence.") - private long duration = -1; - @Parameter(names = {"--numCandidates"},description = "The number of candidates to generate. Default is 1.") - private int numCandidates = 1; - - public final static String REGRESSION_MULTI = "regression"; - public final static String REGRESSION = "regression"; - public final static String CLASSIFICIATION = "classification"; - - public final static String RANDOM_CANDIDATE = "random"; - public final static String GRID_SEARCH_CANDIDATE = "gridsearch"; - - public final static String SEQUENTIAL_ORDER = "sequence"; - public final static String RANDOM_ORDER = "random"; - - public final static String COMP_GRAPH = "compgraph"; - public final static String MULTI_LAYER = "multilayer"; - - public final static String ACCURACY = "accuracy"; - public final static String F1 = "f1"; - - public final static String ACCURACY_MULTI = "accuracy_multi"; - public final static String F1_MULTI = "f1_multi"; - - - public final static String REGRESSION_SCORE = "regression_score"; - public final static String REGRESSION_SCORE_MULTI = "regression_score_multi"; - - public void runMain(String...args) throws Exception { - JCommander jcmdr = new JCommander(this); - - try { - jcmdr.parse(args); - } catch(ParameterException e) { - System.err.println(e.getMessage()); - //User provides invalid input -> print the usage info - jcmdr.usage(); - try{ Thread.sleep(500); } catch(Exception e2){ } - System.exit(1); - } - - - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY,dataSetIteratorClass); - - - if(neuralNetType.equals(MULTI_LAYER)) { - MultiLayerSpace multiLayerSpace = loadMultiLayer(); - CandidateGenerator candidateGenerator = null; - if(candidateType.equals(GRID_SEARCH_CANDIDATE)) { - candidateGenerator = new RandomSearchGenerator(multiLayerSpace,commands); - - - - } - else if(candidateType.equals(RANDOM_CANDIDATE)) { - candidateGenerator = new RandomSearchGenerator(multiLayerSpace,commands); - - } - - if(problemType.equals(CLASSIFICIATION)) { - OptimizationConfiguration configuration - = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelOutputPath)) - .scoreFunction(scoreFunctionMultiLayerNetwork()) - .terminationConditions(getConditions()) - .build(); - FileUtils.writeStringToFile(new File(configSavePath),configuration.toJson()); - - } - else if(problemType.equals(REGRESSION)) { - OptimizationConfiguration configuration - = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelOutputPath)) - .scoreFunction(scoreFunctionMultiLayerNetwork()) - .terminationConditions(getConditions()) - .build(); - FileUtils.writeStringToFile(new File(configSavePath),configuration.toJson()); - - } - - - } - else if(neuralNetType.equals(COMP_GRAPH)) { - ComputationGraphSpace computationGraphSpace = loadCompGraph(); - CandidateGenerator candidateGenerator = null; - if(candidateType.equals(GRID_SEARCH_CANDIDATE)) { - candidateGenerator = new RandomSearchGenerator(computationGraphSpace,commands); - - } - else if(candidateType.equals(RANDOM_CANDIDATE)) { - candidateGenerator = new RandomSearchGenerator(computationGraphSpace,commands); - - } - - - if(problemType.equals(CLASSIFICIATION)) { - OptimizationConfiguration configuration - = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelOutputPath)) - .scoreFunction(scoreFunctionCompGraph()) - .terminationConditions(getConditions()) - .build(); - - FileUtils.writeStringToFile(new File(configSavePath),configuration.toJson()); - } - else { - OptimizationConfiguration configuration - = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelOutputPath)) - .scoreFunction(scoreFunctionCompGraph()) - .terminationConditions(getConditions()) - .build(); - FileUtils.writeStringToFile(new File(configSavePath),configuration.toJson()); - - - } - - - } - - - } - - public static void main(String...args) throws Exception { - new ArbiterCliGenerator().runMain(args); - } - - private List getConditions() { - List ret = new ArrayList<>(); - if(duration > 0) { - ret.add(new MaxTimeCondition(duration,TimeUnit.MINUTES)); - } - - if(numCandidates > 0) - ret.add(new MaxCandidatesCondition(numCandidates)); - if(ret.isEmpty()) { - ret.add(new MaxCandidatesCondition(1)); - } - return ret; - } - - - private GridSearchCandidateGenerator.Mode getMode() { - if(gridSearchOrder.equals(RANDOM_ORDER)) - return GridSearchCandidateGenerator.Mode.RandomOrder; - else if(gridSearchOrder.equals(SEQUENTIAL_ORDER)) { - return GridSearchCandidateGenerator.Mode.Sequential; - } - else throw new IllegalArgumentException("Illegal mode " + gridSearchOrder); - } - - private ScoreFunction scoreFunctionCompGraph() { - if(problemType.equals(CLASSIFICIATION)) { - switch(score) { - case ACCURACY: return ScoreFunctions.testSetAccuracy(); - case F1: return ScoreFunctions.testSetF1(); - case F1_MULTI : return ScoreFunctions.testSetF1(); - case ACCURACY_MULTI: return ScoreFunctions.testSetAccuracy(); - - default: throw new IllegalArgumentException("Score " + score + " not valid for type " + problemType); - } - } - else if(problemType.equals(REGRESSION)) { - switch(score) { - case REGRESSION_SCORE: return ScoreFunctions.testSetRegression(RegressionValue.valueOf(score)); - case REGRESSION_SCORE_MULTI: return ScoreFunctions.testSetRegression(RegressionValue.valueOf(score)); - default: throw new IllegalArgumentException("Score " + score + " not valid for type " + problemType); - } - } - throw new IllegalStateException("Illegal problem type " + problemType); - } - - private ScoreFunction scoreFunctionMultiLayerNetwork() { - if(problemType.equals(CLASSIFICIATION)) { - switch(score) { - case ACCURACY: return ScoreFunctions.testSetAccuracy(); - case F1: return ScoreFunctions.testSetF1(); - - default: throw new IllegalArgumentException("Score " + score + " not valid for type " + problemType); - } - } - else if(problemType.equals(REGRESSION)) { - switch(score) { - case REGRESSION_SCORE: return ScoreFunctions.testSetRegression(RegressionValue.valueOf(score)); - default: throw new IllegalArgumentException("Score " + score + " not valid for type " + problemType); - - } - } - throw new IllegalStateException("Illegal problem type " + problemType); - } - - private ComputationGraphSpace loadCompGraph() throws Exception { - return ComputationGraphSpace.fromJson(FileUtils.readFileToString(new File(searchSpacePath))); - } - - private MultiLayerSpace loadMultiLayer() throws Exception { - return MultiLayerSpace.fromJson(FileUtils.readFileToString(new File(searchSpacePath))); - } -} diff --git a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/ArbiterCliRunner.java b/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/ArbiterCliRunner.java deleted file mode 100644 index c845828cf..000000000 --- a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/ArbiterCliRunner.java +++ /dev/null @@ -1,152 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server; - -import com.beust.jcommander.JCommander; -import com.beust.jcommander.Parameter; -import com.beust.jcommander.ParameterException; -import org.apache.commons.io.FileUtils; -import org.deeplearning4j.arbiter.evaluator.multilayer.ClassificationEvaluator; -import org.deeplearning4j.arbiter.evaluator.multilayer.RegressionDataEvaluator; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.scoring.RegressionValue; -import org.deeplearning4j.arbiter.server.cli.NeuralNetTypeValidator; -import org.deeplearning4j.arbiter.server.cli.ProblemTypeValidator; -import org.deeplearning4j.arbiter.task.ComputationGraphTaskCreator; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; - -import java.io.File; -import java.util.HashMap; -import java.util.Map; - -/** - * Options: - * --dataSetIteratorClass - --modelSavePath - Default: /tmp - * --neuralNetType - --optimizationConfigPath - --problemType - Default: classification - --regressionType - - - - @author Adam Gibson - */ -public class ArbiterCliRunner { - @Parameter(names = {"--modelSavePath"}) - private String modelSavePath = System.getProperty("java.io.tmpdir"); - @Parameter(names = {"--optimizationConfigPath"}) - private String optimizationConfigPath = null; - @Parameter(names = {"--problemType"},validateWith = ProblemTypeValidator.class) - private String problemType = CLASSIFICATION; - @Parameter(names = {"--regressionType"}) - private String regressionType = null; - @Parameter(names = {"--dataSetIteratorClass"},required = true) - private String dataSetIteratorClass = null; - @Parameter(names = {"--neuralNetType"},required = true,validateWith = NeuralNetTypeValidator.class) - private String neuralNetType = null; - - public final static String CLASSIFICATION = "classification"; - public final static String REGRESSION = "regression"; - - - public final static String COMP_GRAPH = "compgraph"; - public final static String MULTI_LAYER_NETWORK = "multilayernetwork"; - - public void runMain(String...args) throws Exception { - JCommander jcmdr = new JCommander(this); - - try { - jcmdr.parse(args); - } catch(ParameterException e) { - System.err.println(e.getMessage()); - //User provides invalid input -> print the usage info - jcmdr.usage(); - try{ Thread.sleep(500); } catch(Exception e2){ } - System.exit(1); - } - - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY,dataSetIteratorClass); - - File f = new File(modelSavePath); - - if(f.exists()) f.delete(); - f.mkdir(); - f.deleteOnExit(); - - if(problemType.equals(REGRESSION)) { - if(neuralNetType.equals(COMP_GRAPH)) { - OptimizationConfiguration configuration - = OptimizationConfiguration.fromJson( - FileUtils.readFileToString(new File(optimizationConfigPath))); - - IOptimizationRunner runner - = new LocalOptimizationRunner(configuration, new ComputationGraphTaskCreator( - new RegressionDataEvaluator(RegressionValue.valueOf(regressionType),commands))); - runner.execute(); - } - else if(neuralNetType.equals(MULTI_LAYER_NETWORK)) { - OptimizationConfiguration configuration = OptimizationConfiguration. - fromJson(FileUtils.readFileToString(new File(optimizationConfigPath))); - - IOptimizationRunner runner - = new LocalOptimizationRunner( - configuration, - new MultiLayerNetworkTaskCreator( - new RegressionDataEvaluator( - RegressionValue.valueOf(regressionType), - commands))); - runner.execute(); - } - } - - else if(problemType.equals(CLASSIFICATION)) { - if(neuralNetType.equals(COMP_GRAPH)) { - OptimizationConfiguration configuration - = OptimizationConfiguration.fromJson(FileUtils.readFileToString(new File(optimizationConfigPath))); - - IOptimizationRunner runner - = new LocalOptimizationRunner( - configuration,new ComputationGraphTaskCreator(new ClassificationEvaluator())); - - runner.execute(); - } - else if(neuralNetType.equals(MULTI_LAYER_NETWORK)) { - OptimizationConfiguration configuration = OptimizationConfiguration - .fromJson(FileUtils.readFileToString(new File(optimizationConfigPath))); - - IOptimizationRunner runner - = new LocalOptimizationRunner(configuration, - new MultiLayerNetworkTaskCreator( - new ClassificationEvaluator()) - ); - - runner.execute(); - } - } - } - public static void main(String...args) throws Exception { - new ArbiterCliRunner().runMain(args); - } - -} diff --git a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/cli/NeuralNetTypeValidator.java b/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/cli/NeuralNetTypeValidator.java deleted file mode 100644 index 1a338bdc0..000000000 --- a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/cli/NeuralNetTypeValidator.java +++ /dev/null @@ -1,41 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server.cli; - -import com.beust.jcommander.IParameterValidator; -import com.beust.jcommander.ParameterException; -import org.deeplearning4j.arbiter.server.ArbiterCliRunner; - -/** - * Created by agibsonccc on 3/13/17. - */ -public class NeuralNetTypeValidator implements IParameterValidator { - /** - * Validate the parameter. - * - * @param name The name of the parameter (e.g. "-host"). - * @param value The value of the parameter that we need to validate - * @throws ParameterException Thrown if the value of the parameter is invalid. - */ - @Override - public void validate(String name, String value) throws ParameterException { - if(!value.equals(ArbiterCliRunner.MULTI_LAYER_NETWORK) || value.equals(ArbiterCliRunner.COMP_GRAPH)) { - throw new ParameterException("Neural net type can only be " + ArbiterCliRunner.COMP_GRAPH + " or " + ArbiterCliRunner.MULTI_LAYER_NETWORK); - - } - } -} diff --git a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/cli/ProblemTypeValidator.java b/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/cli/ProblemTypeValidator.java deleted file mode 100644 index 3df2f6449..000000000 --- a/arbiter/arbiter-server/src/main/java/org/deeplearning4j/arbiter/server/cli/ProblemTypeValidator.java +++ /dev/null @@ -1,41 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server.cli; - -import com.beust.jcommander.IParameterValidator; -import com.beust.jcommander.ParameterException; -import org.deeplearning4j.arbiter.server.ArbiterCliGenerator; - -/** - * Created by agibsonccc on 3/13/17. - */ -public class ProblemTypeValidator implements IParameterValidator { - /** - * Validate the parameter. - * - * @param name The name of the parameter (e.g. "-host"). - * @param value The value of the parameter that we need to validate - * @throws ParameterException Thrown if the value of the parameter is invalid. - */ - @Override - public void validate(String name, String value) throws ParameterException { - if(!value.equals(ArbiterCliGenerator.REGRESSION) || value.equals(ArbiterCliGenerator.CLASSIFICIATION)) { - throw new ParameterException("Problem type can only be " + ArbiterCliGenerator.REGRESSION + " or " + ArbiterCliGenerator.CLASSIFICIATION); - - } - } -} diff --git a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/ArbiterCLIRunnerTest.java b/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/ArbiterCLIRunnerTest.java deleted file mode 100644 index b5dabe1d1..000000000 --- a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/ArbiterCLIRunnerTest.java +++ /dev/null @@ -1,120 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server; - -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.io.FileUtils; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.nn.api.OptimizationAlgorithm; -import org.junit.Test; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.io.File; -import java.util.HashMap; -import java.util.Map; -import java.util.UUID; -import java.util.concurrent.TimeUnit; - -import static org.junit.Assert.assertEquals; - -/** - * Created by agibsonccc on 3/12/17. - */ -@Slf4j -public class ArbiterCLIRunnerTest extends BaseDL4JTest { - - @Override - public long getTimeoutMilliseconds() { - return 90000; - } - - @Test - public void testCliRunner() throws Exception { - ArbiterCliRunner cliRunner = new ArbiterCliRunner(); - - //Define: network config (hyperparameter space) - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.1))) - .l2(new ContinuousParameterSpace(0.0001, 0.01)) - .addLayer(new DenseLayerSpace.Builder().nIn(784).nOut(new IntegerParameterSpace(2,10)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build()) - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .numEpochs(3).build(); - assertEquals(mls,MultiLayerSpace.fromJson(mls.toJson())); - //Define configuration: - Map commands = new HashMap<>(); - commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY,TestDataFactoryProviderMnist.class.getCanonicalName()); - - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls,commands); - DataProvider dataProvider = new DataSetIteratorFactoryProvider(); - - -// String modelSavePath = FilenameUtils.concat(System.getProperty("java.io.tmpdir"),"ArbiterDL4JTest/"); - String modelSavePath = new File(System.getProperty("java.io.tmpdir"),"ArbiterDL4JTest/").getAbsolutePath(); - File dir = new File(modelSavePath); - if(!dir.exists()) - dir.mkdirs(); - String configPath = System.getProperty("java.io.tmpdir") + File.separator + UUID.randomUUID().toString() + ".json"; - OptimizationConfiguration configuration - = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator) - .dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction()) - .terminationConditions(new MaxTimeCondition(30, TimeUnit.SECONDS), - new MaxCandidatesCondition(5)) - .build(); - assertEquals(configuration,OptimizationConfiguration.fromJson(configuration.toJson())); - - FileUtils.writeStringToFile(new File(configPath),configuration.toJson()); -// System.out.println(configuration.toJson()); - configuration.toJson(); - - log.info("Starting test"); - cliRunner.runMain( - "--dataSetIteratorClass", - TestDataFactoryProviderMnist.class.getCanonicalName(), - "--neuralNetType", - ArbiterCliRunner.MULTI_LAYER_NETWORK, - "--optimizationConfigPath", - configPath - ); - } - - - -} diff --git a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/AssertTestsExtendBaseClass.java b/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/AssertTestsExtendBaseClass.java deleted file mode 100644 index 256a8af9b..000000000 --- a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/AssertTestsExtendBaseClass.java +++ /dev/null @@ -1,50 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ -package org.deeplearning4j.arbiter.server; - -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.nd4j.common.tests.AbstractAssertTestsClass; - -import java.util.*; - -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - -@Slf4j -public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { - - @Override - protected Set> getExclusions() { - //Set of classes that are exclusions to the rule (either run manually or have their own logging + timeouts) - return new HashSet<>(); - } - - @Override - protected String getPackageName() { - return "org.deeplearning4j.arbiter.server"; - } - - @Override - protected Class getBaseClass() { - return BaseDL4JTest.class; - } -} diff --git a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/MnistDataSetIteratorFactory.java b/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/MnistDataSetIteratorFactory.java deleted file mode 100644 index 57bef758d..000000000 --- a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/MnistDataSetIteratorFactory.java +++ /dev/null @@ -1,43 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server; - -import lombok.Data; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; - -import java.io.IOException; - -/** - * Created by agibsonccc on 3/13/17. - */ -@Data -public class MnistDataSetIteratorFactory extends BaseDL4JTest implements DataSetIteratorFactory { - /** - * @return - */ - @Override - public DataSetIterator create() { - try { - return new MnistDataSetIterator(1000,1000); - } catch (IOException e) { - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/TestDataFactoryProviderMnist.java b/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/TestDataFactoryProviderMnist.java deleted file mode 100644 index c4a75ffb4..000000000 --- a/arbiter/arbiter-server/src/test/java/org/deeplearning4j/arbiter/server/TestDataFactoryProviderMnist.java +++ /dev/null @@ -1,44 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.server; - -import lombok.AllArgsConstructor; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory; - -@AllArgsConstructor -public class TestDataFactoryProviderMnist extends BaseDL4JTest implements DataSetIteratorFactory { - - private int batchSize; - private int terminationIter; - - public TestDataFactoryProviderMnist(){ - this(16, 10); - } - - @Override - public DataSetIterator create() { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(batchSize, true, 12345), terminationIter); - } catch (Exception e){ - throw new RuntimeException(e); - } - } -} diff --git a/arbiter/arbiter-ui/pom.xml b/arbiter/arbiter-ui/pom.xml deleted file mode 100644 index 88f39a310..000000000 --- a/arbiter/arbiter-ui/pom.xml +++ /dev/null @@ -1,99 +0,0 @@ - - - - - - arbiter - org.deeplearning4j - 1.0.0-SNAPSHOT - - - 4.0.0 - - arbiter-ui - arbiter-ui - - - 1.8 - - - - test-nd4j-native - - - test-nd4j-cuda-11.0 - - - - - - org.deeplearning4j - arbiter-core - ${project.version} - - - - org.deeplearning4j - deeplearning4j-ui - ${dl4j.version} - - - - org.deeplearning4j - deeplearning4j-common-tests - ${dl4j.version} - test - - - - ch.qos.logback - logback-classic - test - ${logback.version} - - - - org.deeplearning4j - arbiter-deeplearning4j - ${project.version} - - - - junit - junit - ${junit.version} - test - - - - - - - - maven-compiler-plugin - 3.5.1 - - ${java.compile.version} - ${java.compile.version} - - - - - - diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/UpdateStatus.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/UpdateStatus.java deleted file mode 100644 index a92b4f0e7..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/UpdateStatus.java +++ /dev/null @@ -1,33 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui; - -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.EqualsAndHashCode; -import lombok.NoArgsConstructor; - -@AllArgsConstructor -@NoArgsConstructor -@EqualsAndHashCode -@Data -public class UpdateStatus { - - private long statusUpdateTime; - private long settingsUpdateTime; - private long resultsUpdateTime; -} diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/BaseJavaPersistable.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/BaseJavaPersistable.java deleted file mode 100644 index 1fb699e0b..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/BaseJavaPersistable.java +++ /dev/null @@ -1,159 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui.data; - -import lombok.AllArgsConstructor; -import org.apache.commons.compress.utils.IOUtils; -import org.deeplearning4j.core.storage.Persistable; -import org.deeplearning4j.arbiter.ui.module.ArbiterModule; - -import java.io.*; -import java.lang.reflect.Field; -import java.lang.reflect.Modifier; -import java.nio.ByteBuffer; -import java.util.ArrayList; -import java.util.List; - -/** - * Common implementation - * - * @author Alex Black - */ -@AllArgsConstructor -public abstract class BaseJavaPersistable implements Persistable { - - private String sessionId; - private long timestamp; - - public BaseJavaPersistable(Builder builder){ - this.sessionId = builder.sessionId; - this.timestamp = builder.timestamp; - } - - protected BaseJavaPersistable(){ - //No-arg costructor for Pesistable encoding/decoding - } - - @Override - public String getTypeID() { - return ArbiterModule.ARBITER_UI_TYPE_ID; - } - - @Override - public long getTimeStamp() { - return timestamp; - } - - @Override - public String getSessionID() { - return sessionId; - } - - @Override - public int encodingLengthBytes() { - //TODO - presumably a more efficient way to do this - byte[] encoded = encode(); - return encoded.length; - } - - @Override - public byte[] encode() { - ByteArrayOutputStream baos = new ByteArrayOutputStream(); - try (ObjectOutputStream oos = new ObjectOutputStream(baos)) { - oos.writeObject(this); - } catch (IOException e) { - throw new RuntimeException(e); //Should never happen - } - return baos.toByteArray(); - } - - @Override - public void encode(ByteBuffer buffer) { - buffer.put(encode()); - } - - @Override - public void encode(OutputStream outputStream) throws IOException { - try (ObjectOutputStream oos = new ObjectOutputStream(outputStream)) { - oos.writeObject(this); - } - } - - @Override - public void decode(byte[] decode) { - BaseJavaPersistable r; - try (ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(decode))) { - r = (BaseJavaPersistable) ois.readObject(); - } catch (IOException | ClassNotFoundException e) { - throw new RuntimeException(e); //Should never happen - } - - //Need to manually build and walk the class heirarchy... - Class currClass = this.getClass(); - List> classHeirarchy = new ArrayList<>(); - while (currClass != Object.class) { - classHeirarchy.add(currClass); - currClass = currClass.getSuperclass(); - } - - for (int i = classHeirarchy.size() - 1; i >= 0; i--) { - //Use reflection here to avoid a mass of boilerplate code... - Field[] allFields = classHeirarchy.get(i).getDeclaredFields(); - - for (Field f : allFields) { - if (Modifier.isStatic(f.getModifiers())) { - //Skip static fields - continue; - } - f.setAccessible(true); - try { - f.set(this, f.get(r)); - } catch (IllegalAccessException e) { - throw new RuntimeException(e); //Should never happen - } - } - } - } - - @Override - public void decode(ByteBuffer buffer) { - byte[] bytes = new byte[buffer.remaining()]; - buffer.get(bytes); - decode(bytes); - } - - @Override - public void decode(InputStream inputStream) throws IOException { - decode(IOUtils.toByteArray(inputStream)); - } - - public static abstract class Builder> { - protected String sessionId; - protected long timestamp; - - public T sessionId(String sessionId){ - this.sessionId = sessionId; - return (T) this; - } - - public T timestamp(long timestamp){ - this.timestamp = timestamp; - return (T) this; - } - - } -} diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/GlobalConfigPersistable.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/GlobalConfigPersistable.java deleted file mode 100644 index 9a6c3faa9..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/GlobalConfigPersistable.java +++ /dev/null @@ -1,119 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui.data; - -import lombok.Getter; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.ui.module.ArbiterModule; -import org.deeplearning4j.core.storage.Persistable; - -import java.io.IOException; - -/** - * - * A {@link Persistable} implemention for global settings - * @author Alex Black - */ -@Getter -public class GlobalConfigPersistable extends BaseJavaPersistable { - public static final String GLOBAL_WORKER_ID = "global"; - - private String optimizationConfigJson; - private int[] candidateCounts; //queued, completed, failed, total - private String optimizationRunner; - - public GlobalConfigPersistable(String sessionId, long timestamp){ - super(sessionId, timestamp); - } - - public GlobalConfigPersistable(Builder builder){ - super(builder); - this.optimizationConfigJson = builder.optimizationConfigJson; - this.candidateCounts = builder.candidateCounts; - if(this.candidateCounts == null){ - this.candidateCounts = new int[4]; - } - this.optimizationRunner = builder.optimizationRunner; - } - - public GlobalConfigPersistable(){ - //No-arg costructor for Pesistable encoding/decoding - } - - @Override - public String getTypeID() { - return ArbiterModule.ARBITER_UI_TYPE_ID; - } - - @Override - public String getWorkerID() { - return GLOBAL_WORKER_ID; - } - - - public OptimizationConfiguration getOptimizationConfiguration(){ - try { - return JsonMapper.getMapper().readValue(optimizationConfigJson, OptimizationConfiguration.class); - } catch (IOException e){ - throw new RuntimeException(e); - } - } - - public int getCandidatesQueued(){ - return candidateCounts[0]; - } - - public int getCandidatesCompleted(){ - return candidateCounts[1]; - } - - public int getCandidatesFailed(){ - return candidateCounts[2]; - } - - public int getCandidatesTotal(){ - return candidateCounts[3]; - } - - public static class Builder extends BaseJavaPersistable.Builder{ - - private String optimizationConfigJson; - private int[] candidateCounts; //queued, completed, failed, total - private String optimizationRunner; - - public Builder optimizationConfigJson(String optimizationConfigJson){ - this.optimizationConfigJson = optimizationConfigJson; - return this; - } - - public Builder candidateCounts(int queued, int completed, int failed, int total){ - this.candidateCounts = new int[]{queued, completed, failed, total}; - return this; - } - - public Builder optimizationRunner(String optimizationRunner){ - this.optimizationRunner = optimizationRunner; - return this; - } - - public GlobalConfigPersistable build(){ - return new GlobalConfigPersistable(this); - } - - } -} diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/ModelInfoPersistable.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/ModelInfoPersistable.java deleted file mode 100644 index d7f6b0ba1..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/data/ModelInfoPersistable.java +++ /dev/null @@ -1,163 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui.data; - -import lombok.Data; -import org.deeplearning4j.arbiter.optimize.runner.CandidateStatus; -import org.deeplearning4j.core.storage.Persistable; - -/** - * A {@link Persistable} implemention for model results - i.e., results for - * each model - * - * @author Alex BLack - */ -@Data -public class ModelInfoPersistable extends BaseJavaPersistable { - - private String workerId; - private Integer modelIdx; - private Double score; - private CandidateStatus status; - private long lastUpdateTime; - private long numParameters; - private int numLayers; - //From candidate generator - this + model hyperparam space means we can work out specific hyperparam - // settings for this model - private double[] paramSpaceValues; - private int totalNumUpdates; - //Values for score vs. iteration chart - private int[] iter; - private float[] scoreVsIter; - private String modelConfigJson; - private String exceptionStackTrace; - - public ModelInfoPersistable(String sessionId, String workerId, long timeStamp){ - super(sessionId, timeStamp); - - this.workerId = workerId; - } - - private ModelInfoPersistable(Builder builder){ - super(builder); - this.workerId = builder.workerId; - this.modelIdx = builder.modelIdx; - this.score = builder.score; - this.status = builder.status; - this.iter = builder.iter; - this.scoreVsIter = builder.scoreVsIter; - this.lastUpdateTime = builder.lastUpdateTime; - this.numParameters = builder.numParameters; - this.numLayers = builder.numLayers; - this.paramSpaceValues = builder.paramSpaceValues; - this.modelConfigJson = builder.modelConfigJson; - this.totalNumUpdates = builder.totalNumUpdates; - this.exceptionStackTrace = builder.exceptionStackTrace; - } - - public ModelInfoPersistable(){ - //No-arg costructor for Pesistable encoding/decoding - } - - @Override - public String getWorkerID() { - return workerId; - } - - - public static class Builder extends BaseJavaPersistable.Builder { - - private String workerId; - private Integer modelIdx; - private Double score; - private CandidateStatus status; - private long lastUpdateTime; - private long numParameters; - private int numLayers; - private int totalNumUpdates; - private double[] paramSpaceValues; - private int[] iter; - private float[] scoreVsIter; - private String modelConfigJson; - private String exceptionStackTrace; - - public Builder workerId(String workerId){ - this.workerId = workerId; - return this; - } - - public Builder modelIdx(Integer idx){ - this.modelIdx = idx; - return this; - } - - public Builder score(Double score){ - this.score = score; - return this; - } - - public Builder status(CandidateStatus status){ - this.status = status; - return this; - } - - public Builder scoreVsIter(int[] iter, float[] scoreVsIter){ - this.iter = iter; - this.scoreVsIter = scoreVsIter; - return this; - } - - public Builder lastUpdateTime(long lastUpdateTime){ - this.lastUpdateTime = lastUpdateTime; - return this; - } - - public Builder numParameters(long numParameters){ - this.numParameters = numParameters; - return this; - } - - public Builder numLayers(int numLayers){ - this.numLayers = numLayers; - return this; - } - - public Builder totalNumUpdates(int totalNumUpdates){ - this.totalNumUpdates = totalNumUpdates; - return this; - } - - public Builder paramSpaceValues(double[] paramSpaceValues){ - this.paramSpaceValues = paramSpaceValues; - return this; - } - - public Builder modelConfigJson(String modelConfigJson){ - this.modelConfigJson = modelConfigJson; - return this; - } - - public Builder exceptionStackTrace(String exceptionStackTrace){ - this.exceptionStackTrace = exceptionStackTrace; - return this; - } - - public ModelInfoPersistable build(){ - return new ModelInfoPersistable(this); - } - } -} diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/listener/ArbiterStatusListener.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/listener/ArbiterStatusListener.java deleted file mode 100644 index 51fd39a33..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/listener/ArbiterStatusListener.java +++ /dev/null @@ -1,236 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui.listener; - -import it.unimi.dsi.fastutil.floats.FloatArrayList; -import it.unimi.dsi.fastutil.ints.IntArrayList; -import lombok.NonNull; -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.core.storage.Persistable; -import org.deeplearning4j.core.storage.StatsStorageRouter; -import org.deeplearning4j.arbiter.optimize.api.OptimizationResult; -import org.deeplearning4j.arbiter.optimize.runner.CandidateInfo; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; -import org.deeplearning4j.arbiter.optimize.serde.jackson.JsonMapper; -import org.deeplearning4j.arbiter.ui.data.GlobalConfigPersistable; -import org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable; -import org.deeplearning4j.nn.graph.ComputationGraph; -import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; -import org.nd4j.common.primitives.Pair; - -import java.io.IOException; -import java.util.Map; -import java.util.UUID; -import java.util.concurrent.ConcurrentHashMap; - -/** - * A {@link StatusListener} for reporting Arbiter/DL4J optimization results to a {@link StatsStorageRouter} - * - * @author Alex Black - */ -@Slf4j -public class ArbiterStatusListener implements StatusListener { - - public static final int MAX_SCORE_VS_ITER_PTS = 1024; //Above this: subsample... every 2nd, 4th, 8th etc - - private final String sessionId; - private final StatsStorageRouter statsStorage; - - private String ocJson; - private long startTime = 0; - - private Map candidateScoreVsIterSubsampleFreq = new ConcurrentHashMap<>(); - private Map> candidateScoreVsIter = new ConcurrentHashMap<>(); - - private Map lastModelInfoPersistable = new ConcurrentHashMap<>(); - - public ArbiterStatusListener(@NonNull StatsStorageRouter statsStorage) { - this(UUID.randomUUID().toString(), statsStorage); - } - - public ArbiterStatusListener(@NonNull String sessionId, @NonNull StatsStorageRouter statsStorage){ - this.sessionId = sessionId; - this.statsStorage = statsStorage; - } - - @Override - public void onInitialization(IOptimizationRunner r) { - Persistable p = getNewStatusPersistable(r); - statsStorage.putStaticInfo(p); - } - - @Override - public void onShutdown(IOptimizationRunner runner) { - //No op? - - } - - @Override - public void onRunnerStatusChange(IOptimizationRunner r) { - Persistable p = getNewStatusPersistable(r); - statsStorage.putStaticInfo(p); - } - - @Override - public void onCandidateStatusChange(CandidateInfo candidateInfo, IOptimizationRunner runner, OptimizationResult result) { - ModelInfoPersistable p = lastModelInfoPersistable.get(candidateInfo.getIndex()); - if(p == null){ - p = new ModelInfoPersistable.Builder() - .timestamp(candidateInfo.getCreatedTime()) - .sessionId(sessionId) - .workerId(String.valueOf(candidateInfo.getIndex())) - .modelIdx(candidateInfo.getIndex()) - .score(candidateInfo.getScore()) - .status(candidateInfo.getCandidateStatus()) - .exceptionStackTrace(candidateInfo.getExceptionStackTrace()) - .build(); - - lastModelInfoPersistable.put(candidateInfo.getIndex(), p); - } - - if(p.getScore() == null){ - p.setScore(candidateInfo.getScore()); - } - - if(result != null && p.getExceptionStackTrace() == null && result.getCandidateInfo().getExceptionStackTrace() != null){ - //Update exceptions that may have occurred since earlier model info instance - p.setExceptionStackTrace(result.getCandidateInfo().getExceptionStackTrace()); - } - - p.setStatus(candidateInfo.getCandidateStatus()); - - statsStorage.putUpdate(p); - } - - @Override - public void onCandidateIteration(CandidateInfo candidateInfo, Object candidate, int iteration) { - double score; - long numParams; - int numLayers; - String modelConfigJson; - int totalNumUpdates; - if(candidate instanceof MultiLayerNetwork){ - MultiLayerNetwork m = (MultiLayerNetwork)candidate; - score = m.score(); - numParams = m.numParams(); - numLayers = m.getnLayers(); - modelConfigJson = m.getLayerWiseConfigurations().toJson(); - totalNumUpdates = m.getLayerWiseConfigurations().getIterationCount(); - } else if(candidate instanceof ComputationGraph) { - ComputationGraph cg = (ComputationGraph)candidate; - score = cg.score(); - numParams = cg.numParams(); - numLayers = cg.getNumLayers(); - modelConfigJson = cg.getConfiguration().toJson(); - totalNumUpdates = cg.getConfiguration().getIterationCount(); - } else { - score = 0; - numParams = 0; - numLayers = 0; - totalNumUpdates = 0; - modelConfigJson = ""; - } - - int idx = candidateInfo.getIndex(); - - Pair pair = candidateScoreVsIter.computeIfAbsent(idx, k -> new Pair<>(new IntArrayList(), new FloatArrayList())); - - IntArrayList iter = pair.getFirst(); - FloatArrayList scores = pair.getSecond(); - - //Do we need subsampling to avoid having too many data points? - int subsamplingFreq = candidateScoreVsIterSubsampleFreq.computeIfAbsent(idx, k -> 1); - if(iteration / subsamplingFreq > MAX_SCORE_VS_ITER_PTS){ - //Double subsampling frequency and re-parse data - subsamplingFreq *= 2; - candidateScoreVsIterSubsampleFreq.put(idx, subsamplingFreq); - - IntArrayList newIter = new IntArrayList(); - FloatArrayList newScores = new FloatArrayList(); - for( int i=0; i(iter, scores)); - } - - if(iteration % subsamplingFreq == 0) { - iter.add(iteration); - scores.add((float) score); - } - - - int[] iters = iter.toIntArray(); - float[] fScores = new float[iters.length]; - for( int i=0; i T fromJson(String json, Class type){ - try{ - return getMapper().readValue(json, type); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - public static ObjectMapper getInstance(){ - return MAPPER; - } - -} diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/misc/UIUtils.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/misc/UIUtils.java deleted file mode 100644 index 8ea969c82..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/misc/UIUtils.java +++ /dev/null @@ -1,112 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui.misc; - -import org.joda.time.Period; -import org.joda.time.PeriodType; -import org.joda.time.format.PeriodFormatter; -import org.joda.time.format.PeriodFormatterBuilder; - -/** - * Created by Alex on 20/07/2017. - */ -public class UIUtils { - - /** - * Convert the "messy" min/max values on a dataset to something clean. For example, 0.895732 becomes 1.0 - * - * @param max Maximum data point value - * @param min Minimum data point value - * @param nTick Number of tick marks desired on chart (good setting: 5) - * @return double[] of length 2 - with new minimum and maximum - */ - public static double[] graphNiceRange(double max, double min, int nTick){ - if(max == min || !Double.isFinite(max)){ - if(max == 0.0 || !Double.isFinite(max)){ - return new double[]{0.0, 1.0}; - } - - return graphNiceRange(1.5 * max, 0.5 * max, nTick); - } - - double range = niceNum(max-min, false); - double d = niceNum(range / (nTick-1), true ); - double graphMin = Math.floor(min/d)*d; - double graphMax = Math.ceil(max/d)*d; - - - return new double[]{graphMin, graphMax}; - } - - public static double niceNum(double x, boolean round){ - double exp = Math.floor(Math.log10(x)); - double f = x / Math.pow(10, exp); - - double nf; - if(round){ - if(f < 1.5 ){ - nf = 1; - } else if( f < 3){ - nf = 2; - } else if( f < 7){ - nf = 5; - } else { - nf = 10; - } - } else { - if(f <= 1 ){ - nf = 1; - } else if( f <= 2){ - nf = 2; - } else if( f <= 5){ - nf = 5; - } else { - nf = 10; - } - } - return nf * Math.pow(10, exp); - } - - /** - * Format the duration in milliseconds to a human readable String, with "yr", "days", "hr" etc prefixes - * - * - * @param durationMs Duration in milliseconds - * @return Human readable string - */ - public static String formatDuration(long durationMs){ - Period period = Period.seconds((int)(durationMs/1000L)); - Period p2 = period.normalizedStandard(PeriodType.yearMonthDayTime()); - - PeriodFormatter formatter = new PeriodFormatterBuilder() - .appendYears() - .appendSuffix(" yr ") - .appendMonths() - .appendSuffix(" months ") - .appendDays() - .appendSuffix(" days ") - .appendHours() - .appendSuffix(" hr ") - .appendMinutes() - .appendSuffix(" min ") - .appendSeconds() - .appendSuffix(" sec") - .toFormatter(); - - return formatter.print(p2); - } -} diff --git a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/module/ArbiterModule.java b/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/module/ArbiterModule.java deleted file mode 100644 index 7a8d70387..000000000 --- a/arbiter/arbiter-ui/src/main/java/org/deeplearning4j/arbiter/ui/module/ArbiterModule.java +++ /dev/null @@ -1,943 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.ui.module; - -import io.netty.handler.codec.http.HttpResponseStatus; -import io.vertx.ext.web.RoutingContext; -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.core.storage.Persistable; -import org.deeplearning4j.core.storage.StatsStorage; -import org.deeplearning4j.core.storage.StatsStorageEvent; -import org.deeplearning4j.core.storage.StatsStorageListener; -import org.deeplearning4j.arbiter.BaseNetworkSpace; -import org.deeplearning4j.arbiter.layers.LayerSpace; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.runner.CandidateStatus; -import org.deeplearning4j.arbiter.ui.UpdateStatus; -import org.deeplearning4j.arbiter.ui.data.GlobalConfigPersistable; -import org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable; -import org.deeplearning4j.arbiter.ui.misc.UIUtils; -import org.deeplearning4j.arbiter.util.ObjectUtils; -import org.deeplearning4j.nn.conf.serde.JsonMappers; -import org.deeplearning4j.ui.VertxUIServer; -import org.deeplearning4j.ui.api.Component; -import org.deeplearning4j.ui.api.*; -import org.deeplearning4j.ui.components.chart.ChartLine; -import org.deeplearning4j.ui.components.chart.ChartScatter; -import org.deeplearning4j.ui.components.chart.style.StyleChart; -import org.deeplearning4j.ui.components.component.ComponentDiv; -import org.deeplearning4j.ui.components.component.style.StyleDiv; -import org.deeplearning4j.ui.components.table.ComponentTable; -import org.deeplearning4j.ui.components.table.style.StyleTable; -import org.deeplearning4j.ui.components.text.ComponentText; -import org.deeplearning4j.ui.components.text.style.StyleText; -import org.deeplearning4j.ui.i18n.I18NResource; -import org.joda.time.format.DateTimeFormat; -import org.joda.time.format.DateTimeFormatter; -import org.nd4j.common.function.Function; -import org.nd4j.common.primitives.Pair; -import org.nd4j.shade.jackson.core.JsonProcessingException; - -import java.awt.*; -import java.text.DecimalFormat; -import java.util.List; -import java.util.*; -import java.util.concurrent.atomic.AtomicBoolean; - -/** - * A Deeplearning4j {@link UIModule}, for integration with DL4J's user interface - * - * @author Alex Black - */ -@Slf4j -public class ArbiterModule implements UIModule { - - private static final DecimalFormat DECIMAL_FORMAT_2DP = new DecimalFormat("#.00"); - private static final DateTimeFormatter TIME_FORMATTER = DateTimeFormat.forPattern("YYYY-MM-dd HH:mm ZZ"); - public static final String ARBITER_UI_TYPE_ID = "ArbiterUI"; - - private AtomicBoolean loggedArbiterAddress = new AtomicBoolean(false); - private Map knownSessionIDs = Collections.synchronizedMap(new LinkedHashMap<>()); - private String currentSessionID; - - private Map lastUpdateForSession = Collections.synchronizedMap(new HashMap<>()); - - //Styles for UI: - private static final StyleTable STYLE_TABLE = new StyleTable.Builder() - .width(100, LengthUnit.Percent) - .backgroundColor(Color.WHITE) - .borderWidth(1) - .columnWidths(LengthUnit.Percent, 30, 70) - .build(); - - private static final StyleTable STYLE_TABLE3_25_25_50 = new StyleTable.Builder() - .width(100, LengthUnit.Percent) - .backgroundColor(Color.WHITE) - .borderWidth(1) - .columnWidths(LengthUnit.Percent, 25, 25, 50) - .build(); - - private static final StyleDiv STYLE_DIV_WIDTH_100_PC = new StyleDiv.Builder() - .width(100, LengthUnit.Percent) - .build(); - - private static final ComponentDiv DIV_SPACER_20PX = new ComponentDiv(new StyleDiv.Builder() - .width(100,LengthUnit.Percent) - .height(20, LengthUnit.Px).build()); - - private static final ComponentDiv DIV_SPACER_60PX = new ComponentDiv(new StyleDiv.Builder() - .width(100,LengthUnit.Percent) - .height(60, LengthUnit.Px).build()); - - private static final StyleChart STYLE_CHART_560_320 = new StyleChart.Builder() - .width(560, LengthUnit.Px) - .height(320, LengthUnit.Px) - .build(); - - private static final StyleChart STYLE_CHART_800_400 = new StyleChart.Builder() - .width(800, LengthUnit.Px) - .height(400, LengthUnit.Px) - .build(); - - - private StyleText STYLE_TEXT_SZ12 = new StyleText.Builder() - .fontSize(12) - .build(); - - //Set whitespacePre(true) to avoid losing new lines, tabs, multiple spaces etc - private StyleText STYLE_TEXT_SZ10_WHITESPACE_PRE = new StyleText.Builder() - .fontSize(10) - .whitespacePre(true) - .build(); - - - @Override - public List getCallbackTypeIDs() { - return Collections.singletonList(ARBITER_UI_TYPE_ID); - } - - @Override - public List getRoutes() { - boolean multiSession = VertxUIServer.getMultiSession().get(); - List r = new ArrayList<>(); - r.add(new Route("/arbiter/multisession", HttpMethod.GET, - (path, rc) -> rc.response().end(multiSession ? "true" : "false"))); - if (multiSession) { - r.add(new Route("/arbiter", HttpMethod.GET, (path, rc) -> this.listSessions(rc))); - r.add(new Route("/arbiter/:sessionId", HttpMethod.GET, (path, rc) -> { - if (knownSessionIDs.containsKey(path.get(0))) { - rc.response() - .putHeader("content-type", "text/html; charset=utf-8") - .sendFile("templates/ArbiterUI.html"); - } else { - sessionNotFound(path.get(0), rc.request().path(), rc); - } - })); - - r.add(new Route("/arbiter/:sessionId/lastUpdate", HttpMethod.GET, (path, rc) -> { - if (knownSessionIDs.containsKey(path.get(0))) { - this.getLastUpdateTime(path.get(0), rc); - } else { - sessionNotFound(path.get(0), rc.request().path(), rc); - } - })); - r.add(new Route("/arbiter/:sessionId/candidateInfo/:id", HttpMethod.GET, (path, rc) -> { - if (knownSessionIDs.containsKey(path.get(0))) { - this.getCandidateInfo(path.get(0), path.get(1), rc); - } else { - sessionNotFound(path.get(0), rc.request().path(), rc); - } - })); - r.add(new Route("/arbiter/:sessionId/config", HttpMethod.GET, (path, rc) -> { - if (knownSessionIDs.containsKey(path.get(0))) { - this.getOptimizationConfig(path.get(0), rc); - } else { - sessionNotFound(path.get(0), rc.request().path(), rc); - } - })); - r.add(new Route("/arbiter/:sessionId/results", HttpMethod.GET, (path, rc) -> { - if (knownSessionIDs.containsKey(path.get(0))) { - this.getSummaryResults(path.get(0), rc); - } else { - sessionNotFound(path.get(0), rc.request().path(), rc); - } - })); - r.add(new Route("/arbiter/:sessionId/summary", HttpMethod.GET, (path, rc) -> { - if (knownSessionIDs.containsKey(path.get(0))) { - this.getSummaryStatus(path.get(0), rc); - } else { - sessionNotFound(path.get(0), rc.request().path(), rc); - } - })); - } else { - r.add(new Route("/arbiter", HttpMethod.GET, (path, rc) -> rc.response() - .putHeader("content-type", "text/html; charset=utf-8") - .sendFile("templates/ArbiterUI.html"))); - r.add(new Route("/arbiter/lastUpdate", HttpMethod.GET, (path, rc) -> this.getLastUpdateTime(null, rc))); - r.add(new Route("/arbiter/candidateInfo/:id", HttpMethod.GET, - (path, rc) -> this.getCandidateInfo(null, path.get(0), rc))); - r.add(new Route("/arbiter/config", HttpMethod.GET, (path, rc) -> this.getOptimizationConfig(null, rc))); - r.add(new Route("/arbiter/results", HttpMethod.GET, (path, rc) -> this.getSummaryResults(null, rc))); - r.add(new Route("/arbiter/summary", HttpMethod.GET, (path, rc) -> this.getSummaryStatus(null, rc))); - - r.add(new Route("/arbiter/sessions/current", HttpMethod.GET, (path, rc) -> this.currentSession(rc))); - r.add(new Route("/arbiter/sessions/set/:to", HttpMethod.GET, - (path, rc) -> this.setSession(path.get(0), rc))); - } - // common for single- and multi-session mode - r.add(new Route("/arbiter/sessions/all", HttpMethod.GET, (path, rc) -> this.sessionInfo(rc))); - - return r; - } - - - /** - * Load StatsStorage via provider, or return "not found" - * - * @param sessionId session ID to look fo with provider - * @param targetPath one of overview / model / system, or null - * @param rc routing context - */ - private void sessionNotFound(String sessionId, String targetPath, RoutingContext rc) { - Function loader = VertxUIServer.getInstance().getStatsStorageLoader(); - if (loader != null && loader.apply(sessionId)) { - if (targetPath != null) { - rc.reroute(targetPath); - } else { - rc.response().end(); - } - } else { - rc.response().setStatusCode(HttpResponseStatus.NOT_FOUND.code()) - .end("Unknown session ID: " + sessionId); - } - } - - - /** - * List optimization sessions. Returns a HTML list of arbiter sessions - */ - private synchronized void listSessions(RoutingContext rc) { - StringBuilder sb = new StringBuilder("\n" + - "\n" + - "\n" + - " \n" + - " Optimization sessions - DL4J Arbiter UI\n" + - " \n" + - "\n" + - " \n" + - "

DL4J Arbiter UI

\n" + - "

UI server is in multi-session mode." + - " To visualize an optimization session, please select one from the following list.

\n" + - "

List of attached optimization sessions

\n"); - if (!knownSessionIDs.isEmpty()) { - sb.append(" "); - } else { - sb.append("No optimization session attached."); - } - - sb.append(" \n" + - "\n"); - - rc.response() - .putHeader("content-type", "text/html; charset=utf-8") - .end(sb.toString()); - } - - @Override - public void reportStorageEvents(Collection events) { - boolean attachedArbiter = false; - for (StatsStorageEvent sse : events) { - if (ARBITER_UI_TYPE_ID.equals(sse.getTypeID())) { - if (sse.getEventType() == StatsStorageListener.EventType.PostStaticInfo) { - knownSessionIDs.put(sse.getSessionID(), sse.getStatsStorage()); - } - - Long lastUpdate = lastUpdateForSession.get(sse.getSessionID()); - if (lastUpdate == null) { - lastUpdateForSession.put(sse.getSessionID(), sse.getTimestamp()); - } else if (sse.getTimestamp() > lastUpdate) { - lastUpdateForSession.put(sse.getSessionID(), sse.getTimestamp()); //Should be thread safe - read only elsewhere - } - attachedArbiter = true; - } - } - - if(currentSessionID == null){ - getDefaultSession(); - } - - if(attachedArbiter && !loggedArbiterAddress.getAndSet(true)){ - String address = UIServer.getInstance().getAddress(); - address += "/arbiter"; - log.info("DL4J Arbiter Hyperparameter Optimization UI: {}", address); - } - } - - @Override - public synchronized void onAttach(StatsStorage statsStorage) { - for (String sessionID : statsStorage.listSessionIDs()) { - for (String typeID : statsStorage.listTypeIDsForSession(sessionID)) { - if (!ARBITER_UI_TYPE_ID.equals(typeID)) - continue; - knownSessionIDs.put(sessionID, statsStorage); - } - } - - if (currentSessionID == null) - getDefaultSession(); - } - - private void currentSession(RoutingContext rc) { - String sid = currentSessionID == null ? "" : currentSessionID; - rc.response() - .putHeader("content-type", "application/json") - .end(asJson(sid)); - } - - private void sessionInfo(RoutingContext rc) { - rc.response() - .putHeader("content-type", "application/json") - .end(asJson(knownSessionIDs.keySet())); - } - - private void setSession(String newSessionID, RoutingContext rc) { - log.debug("Arbiter UI: Set to session {}", newSessionID); - - if (knownSessionIDs.containsKey(newSessionID)) { - currentSessionID = newSessionID; - rc.response().end(); - } else { - rc.response().setStatusCode(HttpResponseStatus.BAD_REQUEST.code()).end("Unknown session ID: " + newSessionID); - } - } - - private void getDefaultSession() { - if (currentSessionID != null) - return; - - long mostRecentTime = Long.MIN_VALUE; - String sessionID = null; - for (Map.Entry entry : knownSessionIDs.entrySet()) { - List staticInfos = entry.getValue().getAllStaticInfos(entry.getKey(), ARBITER_UI_TYPE_ID); - if (staticInfos == null || staticInfos.size() == 0) - continue; - Persistable p = staticInfos.get(0); - long thisTime = p.getTimeStamp(); - if (thisTime > mostRecentTime) { - mostRecentTime = thisTime; - sessionID = entry.getKey(); - } - } - - if (sessionID != null) { - currentSessionID = sessionID; - } - } - - @Override - public void onDetach(StatsStorage statsStorage) { - for (String s : knownSessionIDs.keySet()) { - if (knownSessionIDs.get(s) == statsStorage) { - knownSessionIDs.remove(s); - } - } - } - - @Override - public List getInternationalizationResources() { - return Collections.emptyList(); - } - - /** - * Return the last update time for the page - * @param sessionId session ID (optional, for multi-session mode) - * @param rc routing context - */ - private void getLastUpdateTime(String sessionId, RoutingContext rc){ - if (sessionId == null) { - sessionId = currentSessionID; - } - StatsStorage ss = knownSessionIDs.get(sessionId); - List latestUpdates = ss.getLatestUpdateAllWorkers(sessionId, ARBITER_UI_TYPE_ID); - long t = 0; - if (latestUpdates.isEmpty()) { - t = System.currentTimeMillis(); - } else { - for (Persistable update : latestUpdates) { - if (update.getTimeStamp() > t) { - t = update.getTimeStamp(); - } - } - } - UpdateStatus us = new UpdateStatus(t, t, t); - - rc.response().putHeader("content-type", "application/json").end(asJson(us)); - } - - private String asJson(Object o){ - try{ - return JsonMappers.getMapper().writeValueAsString(o); - } catch (JsonProcessingException e){ - throw new RuntimeException("Error converting object to JSON", e); - } - } - - /** - * Get the info for a specific candidate - last section in the UI - * @param sessionId session ID (optional, for multi-session mode) - * @param candidateId ID for the candidate - * @param rc routing context - */ - private void getCandidateInfo(String sessionId, String candidateId, RoutingContext rc){ - if (sessionId == null) { - sessionId = currentSessionID; - } - StatsStorage ss = knownSessionIDs.get(sessionId); - if(ss == null){ - log.debug("getModelLastUpdateTimes(): Session ID is unknown: {}", sessionId); - rc.response().end(); - return; - } - - GlobalConfigPersistable gcp = (GlobalConfigPersistable)ss - .getStaticInfo(sessionId, ARBITER_UI_TYPE_ID, GlobalConfigPersistable.GLOBAL_WORKER_ID); - OptimizationConfiguration oc = gcp.getOptimizationConfiguration(); - - Persistable p = ss.getLatestUpdate(sessionId, ARBITER_UI_TYPE_ID, candidateId); - if(p == null){ - String title = "No results found for model " + candidateId + "."; - ComponentText ct = new ComponentText.Builder(title,STYLE_TEXT_SZ12).build(); - rc.response() - .putHeader("content-type", "application/json") - .end(asJson(ct)); - return; - } - - ModelInfoPersistable mip = (ModelInfoPersistable)p; - - //First: static info - // Hyperparameter configuration/settings - // Number of parameters - // Maybe memory info in the future? - - //Second: dynamic info - //Runtime - // Performance stats (total minibatches, total time, - // Score vs. time - - List components = new ArrayList<>(); - - //First table: mix of static + dynamic in a table - long runtimeDurationMs = mip.getLastUpdateTime() - mip.getTimeStamp(); - double avgMinibatchesPerSec = mip.getTotalNumUpdates() / (runtimeDurationMs/1000.0); - String avgMinibatchesPerSecStr = DECIMAL_FORMAT_2DP.format(avgMinibatchesPerSec); - String runtimeStr = UIUtils.formatDuration(runtimeDurationMs); - - if(mip.getStatus() == CandidateStatus.Failed){ - runtimeStr = ""; - avgMinibatchesPerSecStr = ""; - } - - String[][] table = new String[][]{ - {"Model Index", String.valueOf(mip.getModelIdx())}, - {"Status", mip.getStatus().toString()}, - {"Model Score", mip.getScore() == null ? "" : String.valueOf(mip.getScore())}, - {"Created", TIME_FORMATTER.print(mip.getTimeStamp())}, - {"Runtime", runtimeStr}, - {"Total Number of Model Updates", String.valueOf(mip.getTotalNumUpdates())}, - {"Average # Updates / Sec", avgMinibatchesPerSecStr}, - {"Number of Parameters", String.valueOf(mip.getNumParameters())}, - {"Number of Layers", String.valueOf(mip.getNumLayers())} - }; - - ComponentTable cTable = new ComponentTable.Builder(STYLE_TABLE) - .content(table) - .header("Model Information", "") - .build(); - components.add(cTable); - - - //Second: parameter space values, in multiple tables - double[] paramSpaceValues = mip.getParamSpaceValues(); - if(paramSpaceValues != null){ - BaseNetworkSpace bns = (BaseNetworkSpace)oc.getCandidateGenerator().getParameterSpace(); - Map m = bns.getNestedSpaces(); - - String[][] hSpaceTable = new String[m.size()][3]; - int i=0; - for(Map.Entry e : m.entrySet()){ - hSpaceTable[i][0] = e.getKey(); - Object currCandidateValue = e.getValue().getValue(paramSpaceValues); - hSpaceTable[i][1] = ObjectUtils.valueToString(currCandidateValue); - hSpaceTable[i][2] = e.getValue().toString(); - i++; - } - - String[] hSpaceTableHeader = new String[]{"Hyperparameter", "Model Value", "Hyperparameter Space"}; - - ComponentTable ct2 = new ComponentTable.Builder(STYLE_TABLE3_25_25_50) - .content(hSpaceTable) - .header(hSpaceTableHeader) - .build(); - - - String title = "Global Network Configuration"; - components.add(DIV_SPACER_20PX); - components.add(new ComponentText.Builder(title, STYLE_TEXT_SZ12).build()); - components.add(ct2); - - List layerConfs = bns.getLayerSpaces(); - - for(BaseNetworkSpace.LayerConf l : layerConfs){ - LayerSpace ls = l.getLayerSpace(); - Map lpsm = ls.getNestedSpaces(); - - String[][] t = new String[lpsm.size()][3]; - i=0; - for(Map.Entry e : lpsm.entrySet()){ - t[i][0] = e.getKey(); - Object currCandidateValue = e.getValue().getValue(paramSpaceValues); - t[i][1] = ObjectUtils.valueToString(currCandidateValue); - t[i][2] = e.getValue().toString(); - i++; - } - - ComponentTable ct3 = new ComponentTable.Builder(STYLE_TABLE3_25_25_50) - .content(t) - .header(hSpaceTableHeader) - .build(); - - title = "Layer Space: " + ls.getClass().getSimpleName() + ", Name: " + l.getLayerName(); - - components.add(DIV_SPACER_20PX); - components.add(new ComponentText.Builder(title, STYLE_TEXT_SZ12).build()); - components.add(ct3); - } - } - - - //Third: Score vs. time chart - int[] iters = mip.getIter(); - float[] scores = mip.getScoreVsIter(); - - if(iters != null) { - double[] si = new double[iters.length]; - double[] scoresD = new double[iters.length]; - - double minScore = Double.MAX_VALUE; - double maxScore = -Double.MAX_VALUE; - for( int i=0; i components = new ArrayList<>(); - - GlobalConfigPersistable gcp = (GlobalConfigPersistable)p; - OptimizationConfiguration oc = gcp.getOptimizationConfiguration(); - - //Report optimization settings/configuration. - String[] tableHeader = {"Configuration", "Value"}; - String [] dataSourceOrProvider; - if (oc.getDataProvider() != null) { - dataSourceOrProvider = new String[] {"Data Provider", oc.getDataProvider().toString()}; - } - else { - dataSourceOrProvider = new String[] {"Data Source", oc.getDataSource().getCanonicalName()}; - } - String[][] table = new String[][]{ - {"Candidate Generator", oc.getCandidateGenerator().getClass().getSimpleName()}, - dataSourceOrProvider, - {"Score Function", oc.getScoreFunction().toString()}, - {"Result Saver", oc.getResultSaver().toString()}, - }; - - ComponentTable ct = new ComponentTable.Builder(STYLE_TABLE) - .content(table) - .header(tableHeader) - .build(); - components.add(ct); - - - String title = "Global Network Configuration"; - components.add(DIV_SPACER_20PX); - components.add(new ComponentText.Builder(title, STYLE_TEXT_SZ12).build()); - BaseNetworkSpace ps = (BaseNetworkSpace)oc.getCandidateGenerator().getParameterSpace(); - Map m = ps.getNestedSpaces(); - - String[][] hSpaceTable = new String[m.size()][2]; - int i=0; - for(Map.Entry e : m.entrySet()){ - hSpaceTable[i][0] = e.getKey(); - hSpaceTable[i][1] = e.getValue().toString(); - i++; - } - - components.add(DIV_SPACER_20PX); - String[] hSpaceTableHeader = new String[]{"Hyperparameter", "Hyperparameter Configuration"}; - - ComponentTable ct2 = new ComponentTable.Builder(STYLE_TABLE) - .content(hSpaceTable) - .header(hSpaceTableHeader) - .build(); - components.add(ct2); - - //Configuration for each layer: - List layerConfs = ps.getLayerSpaces(); - for(BaseNetworkSpace.LayerConf l : layerConfs){ - LayerSpace ls = l.getLayerSpace(); - Map lpsm = ls.getNestedSpaces(); - - String[][] t = new String[lpsm.size()][2]; - i=0; - for(Map.Entry e : lpsm.entrySet()){ - t[i][0] = e.getKey(); - t[i][1] = e.getValue().toString(); - i++; - } - - ComponentTable ct3 = new ComponentTable.Builder(STYLE_TABLE) - .content(t) - .header(hSpaceTableHeader) - .build(); - - title = "Layer Space: " + ls.getClass().getSimpleName() + ", Name: " + l.getLayerName(); - - components.add(DIV_SPACER_20PX); - components.add(new ComponentText.Builder(title, STYLE_TEXT_SZ12).build()); - components.add(ct3); - } - - ComponentDiv cd = new ComponentDiv(STYLE_DIV_WIDTH_100_PC, components); - - rc.response().putHeader("content-type", "application/json").end(asJson(cd)); - } - - /** - * Get candidates summary results list - third section on the page: Results table - * @param sessionId session ID (optional, for multi-session mode) - * @param rc routing context - */ - private void getSummaryResults(String sessionId, RoutingContext rc){ - if (sessionId == null) { - sessionId = currentSessionID; - } - StatsStorage ss = knownSessionIDs.get(sessionId); - if(ss == null){ - log.debug("getSummaryResults(): Session ID is unknown: {}", sessionId); - rc.response().end(); - return; - } - - List allModelInfoTemp = new ArrayList<>(ss.getLatestUpdateAllWorkers(sessionId, ARBITER_UI_TYPE_ID)); - List table = new ArrayList<>(); - for(Persistable per : allModelInfoTemp){ - ModelInfoPersistable mip = (ModelInfoPersistable)per; - String score = (mip.getScore() == null ? "" : mip.getScore().toString()); - table.add(new String[]{mip.getModelIdx().toString(), score, mip.getStatus().toString()}); - } - - rc.response().putHeader("content-type", "application/json").end(asJson(table)); - } - - /** - * Get summary status information: first section in the page - * @param sessionId session ID (optional, for multi-session mode) - * @param rc routing context - */ - private void getSummaryStatus(String sessionId, RoutingContext rc){ - if (sessionId == null) { - sessionId = currentSessionID; - } - StatsStorage ss = knownSessionIDs.get(sessionId); - if(ss == null){ - log.debug("getOptimizationConfig(): Session ID is unknown: {}", sessionId); - rc.response().end(); - return; - } - - Persistable p = ss.getStaticInfo(sessionId, ARBITER_UI_TYPE_ID, GlobalConfigPersistable.GLOBAL_WORKER_ID); - - if(p == null){ - log.info("No static info"); - rc.response().end(); - return; - } - - GlobalConfigPersistable gcp = (GlobalConfigPersistable)p; - OptimizationConfiguration oc = gcp.getOptimizationConfiguration(); - long execStartTime = oc.getExecutionStartTime(); - - - - //Charts: - //Best model score vs. time - //All candidate scores (scatter plot vs. time) - - //How to get this? query all model infos... - - List allModelInfoTemp = new ArrayList<>(ss.getLatestUpdateAllWorkers(sessionId, ARBITER_UI_TYPE_ID)); - List allModelInfo = new ArrayList<>(); - for(Persistable per : allModelInfoTemp){ - ModelInfoPersistable mip = (ModelInfoPersistable)per; - if(mip.getStatus() == CandidateStatus.Complete && mip.getScore() != null && Double.isFinite(mip.getScore())){ - allModelInfo.add(mip); - } - } - - allModelInfo.sort(Comparator.comparingLong(Persistable::getTimeStamp)); - - Pair, ModelInfoPersistable> chartsAndBest = getSummaryChartsAndBest(allModelInfo, oc.getScoreFunction().minimize(), execStartTime ); - - //First: table - number completed, queued, running, failed, total - //Best model index, score, and time - //Total runtime - //Termination conditions - List components = new ArrayList<>(); - - - - List tcs = oc.getTerminationConditions(); - - //TODO: I18N - - long bestTime; - Double bestScore = null; - String bestModelString = null; - if(chartsAndBest.getSecond() != null){ - bestTime = chartsAndBest.getSecond().getTimeStamp(); - bestScore = chartsAndBest.getSecond().getScore(); - String sinceBest = UIUtils.formatDuration(System.currentTimeMillis() - bestTime); - - bestModelString = "Model " + chartsAndBest.getSecond().getModelIdx() + ", Found at " + - TIME_FORMATTER.print(bestTime) + " (" + sinceBest + " ago)"; - } - - String execStartTimeStr = ""; - String execTotalRuntimeStr = ""; - if(execStartTime > 0){ - execStartTimeStr = TIME_FORMATTER.print(execStartTime); - // allModelInfo is sorted by Persistable::getTimeStamp - long lastCompleteTime = execStartTime; - if (!allModelInfo.isEmpty()) { - lastCompleteTime = allModelInfo.get(allModelInfo.size() - 1).getTimeStamp(); - } - execTotalRuntimeStr = UIUtils.formatDuration(lastCompleteTime - execStartTime); - } - - - String[][] table = new String[][]{ - {"Models Completed", String.valueOf(gcp.getCandidatesCompleted())}, - {"Models Queued/Running", String.valueOf(gcp.getCandidatesQueued())}, - {"Models Failed", String.valueOf(gcp.getCandidatesFailed())}, - {"Models Total", String.valueOf(gcp.getCandidatesTotal())}, - {"Best Score", (bestScore != null ? String.valueOf(bestScore) : "")}, - {"Best Scoring Model", bestModelString != null ? bestModelString : ""}, - {"Optimization Runner", gcp.getOptimizationRunner()}, - {"Execution Start Time", execStartTimeStr}, - {"Total Runtime", execTotalRuntimeStr} - }; - - - - ComponentTable ct = new ComponentTable.Builder(STYLE_TABLE) - .content(table) - .header("Status", "") - .build(); - - components.add(ct); - - String[][] tcTable = new String[tcs.size()][2]; - for( int i=0; i,ModelInfoPersistable> getSummaryChartsAndBest(List allModelInfo, - boolean minimize, long execStartTime){ - List bestX = new ArrayList<>(); - List bestY = new ArrayList<>(); - - double[] allX = new double[allModelInfo.size()]; - double[] allY = new double[allModelInfo.size()]; - - double bestScore = (minimize ? Double.MAX_VALUE : -Double.MAX_VALUE); - double worstScore = (minimize ? -Double.MAX_VALUE : Double.MAX_VALUE); - double lastTime = -1L; - ModelInfoPersistable bestModel = null; - for(int i=0; i bestScore) || (minimize && currScore < bestScore)){ - bestX.add(t); - bestY.add(bestScore); - bestX.add(t); //TODO non-real time rendering support... - bestY.add(currScore); - - bestScore = currScore; - bestModel = mip; - } - - if((!minimize && currScore < worstScore) || (minimize && currScore > worstScore)){ - worstScore = currScore; - } - - if(t > lastTime){ - lastTime = t; - } - } - - - double[] scatterGraphMinMax = UIUtils.graphNiceRange(Math.max(bestScore, worstScore), Math.min(bestScore, worstScore), 5); - double[] lineGraphMinMax = UIUtils.graphNiceRange( - bestY.stream().mapToDouble(s -> s).max().orElse(0),bestY.stream().mapToDouble(s -> s).min().orElse(0), 5 - ); - - if(bestX.size() > 0) { - bestX.add(lastTime); - bestY.add(bestY.get(bestY.size() - 1)); - } - - - double[] bestXd = new double[bestX.size()]; - double[] bestYd = new double[bestXd.length]; - for( int i=0; i components = new ArrayList<>(2); - - ChartLine cl = new ChartLine.Builder("Best Model Score vs. Time (Minutes)", STYLE_CHART_560_320) - .addSeries("Best Score vs. Time", bestXd, bestYd) - .setYMin(lineGraphMinMax[0]) - .setYMax(lineGraphMinMax[1]) - .build(); - components.add(cl); - - ChartScatter cs = new ChartScatter.Builder("All Candidate Scores vs. Time (Minutes)", STYLE_CHART_560_320) - .addSeries("Candidates", allX, allY) - .setYMin(scatterGraphMinMax[0]) - .setYMax(scatterGraphMinMax[1]) - .build(); - - components.add(cs); - - return new Pair<>(components, bestModel); - } -} diff --git a/arbiter/arbiter-ui/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule b/arbiter/arbiter-ui/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule deleted file mode 100644 index 083fd24c9..000000000 --- a/arbiter/arbiter-ui/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule +++ /dev/null @@ -1,17 +0,0 @@ -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. -# -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ - -org.deeplearning4j.arbiter.ui.module.ArbiterModule \ No newline at end of file diff --git a/arbiter/arbiter-ui/src/main/resources/deeplearning4jUiAssets/dl4j-ui.js b/arbiter/arbiter-ui/src/main/resources/deeplearning4jUiAssets/dl4j-ui.js deleted file mode 100644 index 4c99517d0..000000000 --- a/arbiter/arbiter-ui/src/main/resources/deeplearning4jUiAssets/dl4j-ui.js +++ /dev/null @@ -1,1319 +0,0 @@ -var __extends = (this && this.__extends) || function (d, b) { - for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; - function __() { this.constructor = d; } - d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __()); -}; -var Style = (function () { - function Style(jsonObj) { - var _this = this; - this.getWidth = function () { return _this.width; }; - this.getHeight = function () { return _this.height; }; - this.getWidthUnit = function () { return _this.widthUnit; }; - this.getHeightUnit = function () { return _this.heightUnit; }; - this.getMarginTop = function () { return _this.marginTop; }; - this.getMarginBottom = function () { return _this.marginBottom; }; - this.getMarginLeft = function () { return _this.marginLeft; }; - this.getMarginRight = function () { return _this.marginRight; }; - this.getBackgroundColor = function () { return _this.backgroundColor; }; - this.width = jsonObj['width']; - this.height = jsonObj['height']; - this.widthUnit = TSUtils.normalizeLengthUnit(jsonObj['widthUnit']); - this.heightUnit = TSUtils.normalizeLengthUnit(jsonObj['heightUnit']); - this.marginTop = jsonObj['marginTop']; - this.marginBottom = jsonObj['marginBottom']; - this.marginLeft = jsonObj['marginLeft']; - this.marginRight = jsonObj['marginRight']; - this.backgroundColor = jsonObj['backgroundColor']; - } - Style.getMargins = function (s) { - var mTop = (s ? s.getMarginTop() : 0); - var mBottom = (s ? s.getMarginBottom() : 0); - var mLeft = (s ? s.getMarginLeft() : 0); - var mRight = (s ? s.getMarginRight() : 0); - return { top: mTop, - right: mRight, - bottom: mBottom, - left: mLeft, - widthExMargins: s.getWidth() - mLeft - mRight, - heightExMargins: s.getHeight() - mTop - mBottom }; - }; - return Style; -}()); -var ComponentType; -(function (ComponentType) { - ComponentType[ComponentType["ComponentText"] = 0] = "ComponentText"; - ComponentType[ComponentType["ComponentTable"] = 1] = "ComponentTable"; - ComponentType[ComponentType["ComponentDiv"] = 2] = "ComponentDiv"; - ComponentType[ComponentType["ChartHistogram"] = 3] = "ChartHistogram"; - ComponentType[ComponentType["ChartHorizontalBar"] = 4] = "ChartHorizontalBar"; - ComponentType[ComponentType["ChartLine"] = 5] = "ChartLine"; - ComponentType[ComponentType["ChartScatter"] = 6] = "ChartScatter"; - ComponentType[ComponentType["ChartStackedArea"] = 7] = "ChartStackedArea"; - ComponentType[ComponentType["ChartTimeline"] = 8] = "ChartTimeline"; - ComponentType[ComponentType["DecoratorAccordion"] = 9] = "DecoratorAccordion"; -})(ComponentType || (ComponentType = {})); -var Component = (function () { - function Component(componentType) { - this.componentType = componentType; - } - Component.prototype.getComponentType = function () { - return this.componentType; - }; - Component.getComponent = function (jsonStr) { - var json = JSON.parse(jsonStr); - var key; - if (json["componentType"]) - key = json["componentType"]; - else - key = Object.keys(json)[0]; - switch (key) { - case ComponentType[ComponentType.ComponentText]: - return new ComponentText(jsonStr); - case ComponentType[ComponentType.ComponentTable]: - return new ComponentTable(jsonStr); - case ComponentType[ComponentType.ChartHistogram]: - return new ChartHistogram(jsonStr); - case ComponentType[ComponentType.ChartHorizontalBar]: - throw new Error("Horizontal bar chart: not yet implemented"); - case ComponentType[ComponentType.ChartLine]: - return new ChartLine(jsonStr); - case ComponentType[ComponentType.ChartScatter]: - return new ChartScatter(jsonStr); - case ComponentType[ComponentType.ChartStackedArea]: - return new ChartStackedArea(jsonStr); - case ComponentType[ComponentType.ChartTimeline]: - return new ChartTimeline(jsonStr); - case ComponentType[ComponentType.DecoratorAccordion]: - return new DecoratorAccordion(jsonStr); - case ComponentType[ComponentType.ComponentDiv]: - return new ComponentDiv(jsonStr); - default: - throw new Error("Unknown component type \"" + key + "\" or invalid JSON: \"" + jsonStr + "\""); - } - }; - return Component; -}()); -var ChartConstants = (function () { - function ChartConstants() { - } - ChartConstants.DEFAULT_CHART_STROKE_WIDTH = 1.0; - ChartConstants.DEFAULT_CHART_POINT_SIZE = 3.0; - ChartConstants.DEFAULT_AXIS_STROKE_WIDTH = 1.0; - ChartConstants.DEFAULT_TITLE_COLOR = "#000000"; - return ChartConstants; -}()); -var TSUtils = (function () { - function TSUtils() { - } - TSUtils.max = function (input) { - var max = -Number.MAX_VALUE; - for (var i = 0; i < input.length; i++) { - for (var j = 0; j < input[i].length; j++) { - max = Math.max(max, input[i][j]); - } - } - return max; - }; - TSUtils.min = function (input) { - var min = Number.MAX_VALUE; - for (var i = 0; i < input.length; i++) { - for (var j = 0; j < input[i].length; j++) { - min = Math.min(min, input[i][j]); - } - } - return min; - }; - TSUtils.normalizeLengthUnit = function (input) { - if (input == null) - return input; - switch (input.toLowerCase()) { - case "px": - return "px"; - case "percent": - case "%": - return "%"; - case "cm": - return "cm"; - case "mm": - return "mm"; - case "in": - return "in"; - default: - return input; - } - }; - return TSUtils; -}()); -var Chart = (function (_super) { - __extends(Chart, _super); - function Chart(componentType, jsonStr) { - _super.call(this, componentType); - var jsonOrig = JSON.parse(jsonStr); - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[componentType]]; - this.suppressAxisHorizontal = json['suppressAxisHorizontal']; - this.suppressAxisVertical = json['suppressAxisVertical']; - this.showLegend = json['showLegend']; - this.title = json['title']; - this.setXMin = json['setXMin']; - this.setXMax = json['setXMax']; - this.setYMin = json['setYMin']; - this.setYMax = json['setYMax']; - this.gridVerticalStrokeWidth = json['gridVerticalStrokeWidth']; - this.gridHorizontalStrokeWidth = json['gridHorizontalStrokeWidth']; - if (json['style']) - this.style = new StyleChart(json['style']); - } - Chart.prototype.getStyle = function () { - return this.style; - }; - Chart.appendTitle = function (svg, title, margin, titleStyle) { - var text = svg.append("text") - .text(title) - .attr("x", (margin.widthExMargins / 2)) - .attr("y", 0 - ((margin.top - 30) / 2)) - .attr("text-anchor", "middle"); - if (titleStyle) { - if (titleStyle.getFont()) - text.attr("font-family", titleStyle.getFont); - if (titleStyle.getFontSize() != null) - text.attr("font-size", titleStyle.getFontSize() + "pt"); - if (titleStyle.getUnderline() != null) - text.style("text-decoration", "underline"); - if (titleStyle.getColor()) - text.style("fill", titleStyle.getColor); - else - text.style("fill", ChartConstants.DEFAULT_TITLE_COLOR); - } - else { - text.style("text-decoration", "underline"); - text.style("fill", ChartConstants.DEFAULT_TITLE_COLOR); - } - }; - return Chart; -}(Component)); -var ChartHistogram = (function (_super) { - __extends(ChartHistogram, _super); - function ChartHistogram(jsonStr) { - _super.call(this, ComponentType.ChartHistogram, jsonStr); - this.render = function (appendToObject) { - var s = this.getStyle(); - var margin = Style.getMargins(s); - var xMin; - var xMax; - var yMin; - var yMax; - if (this.setXMin) - xMin = this.setXMin; - else - xMin = (this.lowerBounds ? d3.min(this.lowerBounds) : 0); - if (this.setXMax) - xMax = this.setXMax; - else - xMax = (this.upperBounds ? d3.max(this.upperBounds) : 1); - if (this.setYMin) - yMin = this.setYMin; - else - yMin = 0; - if (this.setYMax) - yMax = this.setYMax; - else - yMax = (this.yValues ? d3.max(this.yValues) : 1); - var xScale = d3.scale.linear() - .domain([xMin, xMax]) - .range([0, margin.widthExMargins]); - var xAxis = d3.svg.axis().scale(xScale) - .orient("bottom").ticks(5); - if (this.gridVerticalStrokeWidth && this.gridVerticalStrokeWidth > 0) { - xAxis.innerTickSize(-margin.heightExMargins); - } - var yScale = d3.scale.linear() - .domain([0, yMax]) - .range([margin.heightExMargins, 0]); - var yAxis = d3.svg.axis().scale(yScale) - .orient("left").ticks(5); - if (this.gridHorizontalStrokeWidth && this.gridHorizontalStrokeWidth > 0) { - yAxis.innerTickSize(-margin.widthExMargins); - } - if (this.suppressAxisHorizontal === true) - xAxis.tickValues([]); - if (this.suppressAxisVertical === true) - yAxis.tickValues([]); - var lowerBounds = this.lowerBounds; - var upperBounds = this.upperBounds; - var yValues = this.yValues; - var data = lowerBounds.map(function (d, i) { - return { 'width': upperBounds[i] - lowerBounds[i], 'height': yValues[i], 'offset': lowerBounds[i] }; - }); - var svg = d3.select("#" + appendToObject.attr("id")) - .append("svg") - .style("fill", "none") - .attr("width", s.getWidth()) - .attr("height", s.getHeight()) - .attr("padding", "20px") - .append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - svg.selectAll(".bin") - .data(data) - .enter().append("rect") - .attr("class", "bin") - .style("fill", "steelblue") - .attr("x", function (d) { return xScale(d.offset); }) - .attr("width", function (d) { return xScale(xMin + d.width) - 1; }) - .attr("y", function (d) { return yScale(d.height); }) - .attr("height", function (d) { return margin.heightExMargins - yScale(d.height); }); - var xAxisNode = svg.append("g") - .attr("class", "x axis") - .attr("transform", "translate(0," + margin.heightExMargins + ")") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(xAxis); - xAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.gridVerticalStrokeWidth != null) - xAxisNode.selectAll('.axis line').style({ 'stroke-width': this.gridVerticalStrokeWidth }); - var yAxisNode = svg.append("g") - .attr("class", "y axis") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(yAxis); - yAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.gridHorizontalStrokeWidth != null) - yAxisNode.selectAll('.axis line').style({ 'stroke-width': this.gridHorizontalStrokeWidth }); - if (this.title) { - var titleStyle; - if (this.style) - titleStyle = this.style.getTitleStyle(); - Chart.appendTitle(svg, this.title, margin, titleStyle); - } - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ChartHistogram]]; - this.lowerBounds = json['lowerBounds']; - this.upperBounds = json['upperBounds']; - this.yValues = json['yvalues']; - } - return ChartHistogram; -}(Chart)); -var ChartLine = (function (_super) { - __extends(ChartLine, _super); - function ChartLine(jsonStr) { - _super.call(this, ComponentType.ChartLine, jsonStr); - this.render = function (appendToObject) { - var nSeries = (!this.xData ? 0 : this.xData.length); - var s = this.getStyle(); - var margin = Style.getMargins(s); - var xScale = d3.scale.linear().range([0, margin.widthExMargins]); - var yScale = d3.scale.linear().range([margin.heightExMargins, 0]); - var xAxis = d3.svg.axis().scale(xScale) - .orient("bottom").ticks(5); - if (this.gridVerticalStrokeWidth != null && this.gridVerticalStrokeWidth > 0) { - xAxis.innerTickSize(-margin.heightExMargins); - } - var yAxis = d3.svg.axis().scale(yScale) - .orient("left").ticks(5); - if (this.gridHorizontalStrokeWidth != null && this.gridHorizontalStrokeWidth > 0) { - yAxis.innerTickSize(-margin.widthExMargins); - } - if (this.suppressAxisHorizontal === true) - xAxis.tickValues([]); - if (this.suppressAxisVertical === true) - yAxis.tickValues([]); - var valueline = d3.svg.line() - .x(function (d) { - return xScale(d.xPos); - }) - .y(function (d) { - return yScale(d.yPos); - }); - var svg = d3.select("#" + appendToObject.attr("id")) - .append("svg") - .style("stroke-width", (s && s.getStrokeWidth() ? s.getStrokeWidth() : ChartConstants.DEFAULT_CHART_STROKE_WIDTH)) - .style("fill", "none") - .attr("width", s.getWidth()) - .attr("height", s.getHeight()) - .append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - var xMin; - var xMax; - var yMin; - var yMax; - if (this.setXMin != null) - xMin = this.setXMin; - else - xMin = (this.xData ? TSUtils.min(this.xData) : 0); - if (this.setXMax != null) - xMax = this.setXMax; - else - xMax = (this.xData ? TSUtils.max(this.xData) : 1); - if (this.setYMin != null) - yMin = this.setYMin; - else - yMin = (this.yData ? TSUtils.min(this.yData) : 0); - if (this.setYMax != null) - yMax = this.setYMax; - else - yMax = (this.yData ? TSUtils.max(this.yData) : 1); - xScale.domain([xMin, xMax]); - yScale.domain([yMin, yMax]); - var defaultColor = d3.scale.category10(); - for (var i = 0; i < nSeries; i++) { - var xVals = this.xData[i]; - var yVals = this.yData[i]; - var data = xVals.map(function (d, i) { - return { 'xPos': xVals[i], 'yPos': yVals[i] }; - }); - svg.append("path") - .attr("class", "line") - .style("stroke", (s && s.getSeriesColor(i) ? s.getSeriesColor(i) : defaultColor(String(i)))) - .attr("d", valueline(data)); - } - var xAxisNode = svg.append("g") - .attr("class", "x axis") - .attr("transform", "translate(0," + margin.heightExMargins + ")") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(xAxis); - xAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.gridVerticalStrokeWidth != null) - xAxisNode.selectAll('.axis line').style({ 'stroke-width': this.gridVerticalStrokeWidth }); - var yAxisNode = svg.append("g") - .attr("class", "y axis") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(yAxis); - yAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.gridHorizontalStrokeWidth != null) - yAxisNode.selectAll('.axis line').style({ 'stroke-width': this.gridHorizontalStrokeWidth }); - if (this.seriesNames && this.showLegend === true) { - var legendSpace = margin.widthExMargins / i; - for (var i = 0; i < nSeries; i++) { - var values = this.xData[i]; - var yValues = this.yData[i]; - var lastX = values[values.length - 1]; - var lastY = yValues[yValues.length - 1]; - var toDisplay = this.seriesNames[i]; - svg.append("text") - .attr("x", (legendSpace / 2) + i * legendSpace) - .attr("y", margin.heightExMargins + (margin.bottom / 2) + 5) - .attr("class", "legend") - .style("fill", (s && s.getSeriesColor(i) ? s.getSeriesColor(i) : defaultColor(String(i)))) - .text(toDisplay); - } - } - if (this.title) { - var titleStyle; - if (this.style) - titleStyle = this.style.getTitleStyle(); - Chart.appendTitle(svg, this.title, margin, titleStyle); - } - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ChartLine]]; - this.xData = json['x']; - this.yData = json['y']; - this.seriesNames = json['seriesNames']; - } - return ChartLine; -}(Chart)); -var ChartScatter = (function (_super) { - __extends(ChartScatter, _super); - function ChartScatter(jsonStr) { - _super.call(this, ComponentType.ChartScatter, jsonStr); - this.render = function (appendToObject) { - var nSeries = (!this.xData ? 0 : this.xData.length); - var s = this.getStyle(); - var margin = Style.getMargins(s); - var xScale = d3.scale.linear().range([0, margin.widthExMargins]); - var yScale = d3.scale.linear().range([margin.heightExMargins, 0]); - var xAxis = d3.svg.axis().scale(xScale) - .innerTickSize(-margin.heightExMargins) - .orient("bottom").ticks(5); - var yAxis = d3.svg.axis().scale(yScale) - .innerTickSize(-margin.widthExMargins) - .orient("left").ticks(5); - if (this.suppressAxisHorizontal === true) - xAxis.tickValues([]); - if (this.suppressAxisVertical === true) - yAxis.tickValues([]); - var svg = d3.select("#" + appendToObject.attr("id")) - .append("svg") - .style("stroke-width", (s && s.getStrokeWidth() ? s.getStrokeWidth() : 1)) - .style("fill", "none") - .attr("width", s.getWidth()) - .attr("height", s.getHeight()) - .attr("padding", "20px") - .append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - var xMin; - var xMax; - var yMin; - var yMax; - if (this.setXMin) - xMin = this.setXMin; - else - xMin = (this.xData ? TSUtils.min(this.xData) : 0); - if (this.setXMax) - xMax = this.setXMax; - else - xMax = (this.xData ? TSUtils.max(this.xData) : 1); - if (this.setYMin) - yMin = this.setYMin; - else - yMin = (this.yData ? TSUtils.min(this.yData) : 0); - if (this.setYMax) - yMax = this.setYMax; - else - yMax = (this.yData ? TSUtils.max(this.yData) : 1); - xScale.domain([xMin, xMax]); - yScale.domain([yMin, yMax]); - var defaultColor = d3.scale.category10(); - for (var i = 0; i < nSeries; i++) { - var xVals = this.xData[i]; - var yVals = this.yData[i]; - var data = xVals.map(function (d, i) { - return { 'xPos': xVals[i], 'yPos': yVals[i] }; - }); - svg.selectAll("circle") - .data(data) - .enter() - .append("circle") - .style("fill", (s && s.getSeriesColor(i) ? s.getSeriesColor(i) : defaultColor(String(i)))) - .attr("r", (s && s.getPointSize() ? s.getPointSize() : ChartConstants.DEFAULT_CHART_POINT_SIZE)) - .attr("cx", function (d) { - return xScale(d['xPos']); - }) - .attr("cy", function (d) { - return yScale(d['yPos']); - }); - } - var xAxisNode = svg.append("g") - .attr("class", "x axis") - .attr("transform", "translate(0," + margin.heightExMargins + ")") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(xAxis); - xAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.gridVerticalStrokeWidth != null) - xAxisNode.selectAll('.axis line').style({ 'stroke-width': this.gridVerticalStrokeWidth }); - var yAxisNode = svg.append("g") - .attr("class", "y axis") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(yAxis); - yAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.gridHorizontalStrokeWidth != null) - yAxisNode.selectAll('.axis line').style({ 'stroke-width': this.gridHorizontalStrokeWidth }); - if (this.seriesNames && this.showLegend === true) { - var legendSpace = margin.widthExMargins / i; - for (var i = 0; i < nSeries; i++) { - var values = this.xData[i]; - var yValues = this.yData[i]; - var lastX = values[values.length - 1]; - var lastY = yValues[yValues.length - 1]; - var toDisplay; - if (!lastX || !lastY) - toDisplay = this.seriesNames[i] + " (no data)"; - else - toDisplay = this.seriesNames[i] + " (" + lastX.toPrecision(5) + "," + lastY.toPrecision(5) + ")"; - svg.append("text") - .attr("x", (legendSpace / 2) + i * legendSpace) - .attr("y", margin.heightExMargins + (margin.bottom / 2) + 5) - .attr("class", "legend") - .style("fill", (s && s.getSeriesColor(i) ? s.getSeriesColor(i) : defaultColor(String(i)))) - .text(toDisplay); - } - } - if (this.title) { - var titleStyle; - if (this.style) - titleStyle = this.style.getTitleStyle(); - Chart.appendTitle(svg, this.title, margin, titleStyle); - } - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ChartScatter]]; - this.xData = json['x']; - this.yData = json['y']; - this.seriesNames = json['seriesNames']; - } - return ChartScatter; -}(Chart)); -var Legend = (function () { - function Legend() { - } - Legend.offsetX = 15; - Legend.offsetY = 15; - Legend.padding = 8; - Legend.separation = 12; - Legend.boxSize = 10; - Legend.fillColor = "#FFFFFF"; - Legend.legendOpacity = 0.75; - Legend.borderStrokeColor = "#000000"; - Legend.legendFn = (function (g) { - var svg = d3.select(g.property("nearestViewportElement")); - var legendBox = g.selectAll(".outerRect").data([true]); - var legendItems = g.selectAll(".legendElement").data([true]); - legendBox.enter().append("rect").attr("class", "outerRect"); - legendItems.enter().append("g").attr("class", "legendElement"); - var legendElements = []; - svg.selectAll("[data-legend]").each(function () { - var thisVar = d3.select(this); - legendElements.push({ - label: thisVar.attr("data-legend"), - color: thisVar.style("fill") - }); - }); - legendItems.selectAll("rect") - .data(legendElements, function (d) { return d.label; }) - .call(function (d) { d.enter().append("rect"); }) - .call(function (d) { d.exit().remove(); }) - .attr("x", 0) - .attr("y", function (d, i) { return i * Legend.separation - Legend.boxSize + "px"; }) - .attr("width", Legend.boxSize) - .attr("height", Legend.boxSize) - .style("fill", function (d) { return d.color; }); - legendItems.selectAll("text") - .data(legendElements, function (d) { return d.label; }) - .call(function (d) { d.enter().append("text"); }) - .call(function (d) { d.exit().remove(); }) - .attr("y", function (d, i) { return i * Legend.separation + "px"; }) - .attr("x", (Legend.padding + Legend.boxSize) + "px") - .text(function (d) { return d.label; }); - var legendBoundingBox = legendItems[0][0].getBBox(); - legendBox.attr("x", (legendBoundingBox.x - Legend.padding)) - .attr("y", (legendBoundingBox.y - Legend.padding)) - .attr("height", (legendBoundingBox.height + 2 * Legend.padding)) - .attr("width", (legendBoundingBox.width + 2 * Legend.padding)) - .style("fill", Legend.fillColor) - .style("stroke", Legend.borderStrokeColor) - .style("opacity", Legend.legendOpacity); - svg.selectAll(".legend").attr("transform", "translate(" + Legend.offsetX + "," + Legend.offsetY + ")"); - }); - return Legend; -}()); -var ChartStackedArea = (function (_super) { - __extends(ChartStackedArea, _super); - function ChartStackedArea(jsonStr) { - _super.call(this, ComponentType.ChartStackedArea, jsonStr); - this.render = function (appendToObject) { - var nSeries = (!this.xData ? 0 : this.xData.length); - var s = this.getStyle(); - var margin = Style.getMargins(s); - var xScale = d3.scale.linear().range([0, margin.widthExMargins]); - var yScale = d3.scale.linear().range([margin.heightExMargins, 0]); - var xAxis = d3.svg.axis().scale(xScale) - .orient("bottom").ticks(5); - if (this.gridVerticalStrokeWidth != null && this.gridVerticalStrokeWidth > 0) { - xAxis.innerTickSize(-margin.heightExMargins); - } - var yAxis = d3.svg.axis().scale(yScale) - .orient("left").ticks(5); - if (this.gridHorizontalStrokeWidth != null && this.gridHorizontalStrokeWidth > 0) { - yAxis.innerTickSize(-margin.widthExMargins); - } - if (this.suppressAxisHorizontal === true) - xAxis.tickValues([]); - if (this.suppressAxisVertical === true) - yAxis.tickValues([]); - var data = []; - for (var i = 0; i < this.xData.length; i++) { - var obj = {}; - for (var j = 0; j < this.labels.length; j++) { - obj[this.labels[j]] = this.yData[j][i]; - obj['xValue'] = this.xData[i]; - } - data.push(obj); - } - var area = d3.svg.area() - .x(function (d) { return xScale(d.xValue); }) - .y0(function (d) { return yScale(d.y0); }) - .y1(function (d) { return yScale(d.y0 + d.y); }); - var stack = d3.layout.stack() - .values(function (d) { return d.values; }); - var svg = d3.select("#" + appendToObject.attr("id")).append("svg") - .attr("width", margin.widthExMargins + margin.left + margin.right) - .attr("height", margin.heightExMargins + margin.top + margin.bottom) - .append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - var color = d3.scale.category20(); - color.domain(d3.keys(data[0]).filter(function (key) { - return key !== "xValue"; - })); - var browsers = stack(color.domain().map(function (name) { - return { - name: name, - values: data.map(function (d) { - return { xValue: d.xValue, y: d[name] * 1 }; - }) - }; - })); - var maxX = d3.max(data, function (d) { - var vals = d3.keys(d).map(function (key) { - return key !== "xValue" ? d[key] : 0; - }); - return d3.sum(vals); - }); - xScale.domain(d3.extent(data, function (d) { - return d.xValue; - })); - yScale.domain([0, maxX]); - var browser = svg.selectAll(".browser") - .data(browsers) - .enter().append("g") - .attr("class", "browser"); - var tempLabels = this.labels; - var defaultColor = d3.scale.category20(); - browser.append("path") - .attr("class", "area") - .attr("data-legend", function (d) { return d.name; }) - .attr("d", function (d) { - return area(d.values); - }) - .style("fill", function (d) { - if (s && s.getSeriesColor(tempLabels.indexOf(d.name))) { - return s.getSeriesColor(tempLabels.indexOf(d.name)); - } - else { - return defaultColor(String(tempLabels.indexOf(d.name))); - } - }) - .style({ "stroke-width": "0px" }); - var xAxisNode = svg.append("g") - .attr("class", "x axis") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .attr("transform", "translate(0," + margin.heightExMargins + ")") - .call(xAxis); - xAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - var yAxisNode = svg.append("g") - .attr("class", "y axis") - .style("stroke", "#000") - .style("stroke-width", (s != null && s.getAxisStrokeWidth() != null ? s.getAxisStrokeWidth() : ChartConstants.DEFAULT_AXIS_STROKE_WIDTH)) - .style("fill", "none") - .call(yAxis); - yAxisNode.selectAll('text').style("stroke-width", 0).style("fill", "#000000"); - if (this.title) { - var titleStyle; - if (this.style) - titleStyle = this.style.getTitleStyle(); - Chart.appendTitle(svg, this.title, margin, titleStyle); - } - var legend = svg.append("g") - .attr("class", "legend") - .attr("transform", "translate(40,40)") - .style("font-size", "12px") - .call(Legend.legendFn); - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ChartStackedArea]]; - this.xData = json['x']; - this.yData = json['y']; - this.labels = json['labels']; - } - return ChartStackedArea; -}(Chart)); -var ChartTimeline = (function (_super) { - __extends(ChartTimeline, _super); - function ChartTimeline(jsonStr) { - _super.call(this, ComponentType.ChartTimeline, jsonStr); - this.render = function (appendToObject) { - var instance = this; - var s = this.getStyle(); - var margin = Style.getMargins(s); - this.itemData = []; - var count = 0; - for (var i = 0; i < this.laneData.length; i++) { - for (var j = 0; j < this.laneData[i].length; j++) { - var obj = {}; - obj["start"] = this.laneData[i][j]["startTimeMs"]; - obj["end"] = this.laneData[i][j]["endTimeMs"]; - obj["id"] = count++; - obj["lane"] = i; - obj["color"] = this.laneData[i][j]["color"]; - obj["label"] = this.laneData[i][j]["entryLabel"]; - this.itemData.push(obj); - } - } - this.lanes = []; - for (var i = 0; i < this.laneNames.length; i++) { - var obj = {}; - obj["label"] = this.laneNames[i]; - obj["id"] = i; - this.lanes.push(obj); - } - var svg = d3.select("#" + appendToObject.attr("id")) - .append("svg") - .style("stroke-width", (s && s.getStrokeWidth() ? s.getStrokeWidth() : ChartConstants.DEFAULT_CHART_STROKE_WIDTH)) - .style("fill", "none") - .attr("width", s.getWidth()) - .attr("height", s.getHeight()) - .append("g"); - var heightExMargins = s.getHeight() - margin.top - margin.bottom; - var widthExMargins = s.getWidth() - margin.left - margin.right; - var miniHeight = this.laneNames.length * ChartTimeline.MINI_LANE_HEIGHT_PX; - var mainHeight = s.getHeight() - miniHeight - margin.top - margin.bottom - 25; - var minTime = d3.min(this.itemData, function (d) { return d.start; }); - var maxTime = d3.max(this.itemData, function (d) { return d.end; }); - this.x = d3.time.scale() - .domain([minTime, maxTime]) - .range([0, widthExMargins]); - this.x1 = d3.time.scale().range([0, widthExMargins]); - this.y1 = d3.scale.linear().domain([0, this.laneNames.length]).range([0, mainHeight]); - this.y2 = d3.scale.linear().domain([0, this.laneNames.length]).range([0, miniHeight]); - this.rect = svg.append('defs').append('clipPath') - .attr('id', 'clip') - .append('rect') - .attr('width', widthExMargins) - .attr('height', s.getHeight() - 100); - this.mainView = svg.append('g') - .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')') - .attr('width', widthExMargins) - .attr('height', mainHeight) - .attr('font-size', '12px') - .attr('font', 'sans-serif'); - this.miniView = svg.append('g') - .attr('transform', 'translate(' + margin.left + ',' + (mainHeight + margin.top + 25) + ')') - .attr('width', widthExMargins) - .attr('height', miniHeight) - .attr('font-size', '10px') - .attr('font', 'sans-serif'); - this.mainView.append('g').selectAll('.laneLines') - .data(this.lanes) - .enter().append('line') - .attr('x1', 0) - .attr('y1', function (d) { - return d3.round(instance.y1(d.id)) + 0.5; - }) - .attr('x2', widthExMargins) - .attr('y2', function (d) { - return d3.round(instance.y1(d.id)) + 0.5; - }) - .attr('stroke', 'lightgray') - .attr('stroke-width', 1); - this.mainView.append('g').selectAll('.laneText') - .data(this.lanes) - .enter().append('text') - .text(function (d) { - if (d.label) - return d.label; - return ""; - }) - .attr('x', -10) - .attr('y', function (d) { - return instance.y1(d.id + .5); - }) - .attr('text-anchor', 'end') - .attr("font", "8pt sans-serif") - .attr('fill', 'black'); - this.miniView.append('g').selectAll('.laneLines') - .data(this.lanes) - .enter().append('line') - .attr('x1', 0) - .attr('y1', function (d) { return d3.round(instance.y2(d.id)) + 0.5; }) - .attr('x2', widthExMargins) - .attr('y2', function (d) { return d3.round(instance.y2(d.id)) + 0.5; }) - .attr('stroke', 'gray') - .attr('stroke-width', 1.0); - this.miniView.append('g').selectAll('.laneText') - .data(this.lanes) - .enter().append('text') - .text(function (d) { - if (d.label) - return d.label; - return ""; - }) - .attr('x', -10) - .attr('y', function (d) { - return instance.y2(d.id + .5); - }) - .attr('dy', '0.5ex') - .attr('text-anchor', 'end') - .attr('fill', 'black'); - this.xTimeAxis = d3.svg.axis() - .scale(this.x1) - .orient('bottom') - .ticks(d3.time.days, 1) - .tickFormat(d3.time.format('%a %d')) - .tickSize(6, 0); - var temp = this.mainView.append('g') - .attr('transform', 'translate(0,' + mainHeight + ')') - .attr('class', 'timeAxis') - .attr('fill', 'black') - .style("stroke", "black").style("stroke-width", 1.0).style("fill", "black") - .attr("font", "10px sans-serif") - .call(this.xTimeAxis); - temp.selectAll('text').style("stroke-width", 0.0).attr('stroke-width', 0.0); - this.itemRects = this.mainView.append('g') - .attr('clip-path', 'url(#clip)'); - this.miniView.append('g').selectAll('miniItems') - .data(this.getMiniViewPaths(this.itemData)) - .enter().append('path') - .attr('class', function (d) { - return 'miniItem ' + d.class; - }) - .attr('d', function (d) { - return d.path; - }) - .attr('stroke', 'black') - .attr('stroke-width', 'black'); - this.miniView.append('rect') - .attr('pointer-events', 'painted') - .attr('width', widthExMargins) - .attr('height', miniHeight) - .attr('visibility', 'hidden') - .on('mouseup', this.moveBrush); - this.brush = d3.svg.brush() - .x(this.x) - .extent([minTime, maxTime]) - .on("brush", this.renderChart); - this.miniView.append('g') - .attr('class', 'x brush') - .call(this.brush) - .selectAll('rect') - .attr('y', 1) - .attr('height', miniHeight - 1) - .style('fill', 'gray') - .style('fill-opacity', '0.2') - .style('stroke', 'DarkSlateGray') - .style('stroke-width', 1); - this.miniView.selectAll('rect.background').remove(); - this.renderChart(); - if (this.title) { - var titleStyle; - if (this.style) - titleStyle = this.style.getTitleStyle(); - var text = svg.append("text") - .text(this.title) - .attr("x", (s.getWidth() / 2)) - .attr("y", ((margin.top - 30) / 2)) - .attr("text-anchor", "middle"); - if (titleStyle) { - if (titleStyle.getFont()) - text.attr("font-family", titleStyle.getFont); - if (titleStyle.getFontSize() != null) - text.attr("font-size", titleStyle.getFontSize() + "pt"); - if (titleStyle.getUnderline() != null) - text.style("text-decoration", "underline"); - if (titleStyle.getColor()) - text.style("fill", titleStyle.getColor); - else - text.style("fill", ChartConstants.DEFAULT_TITLE_COLOR); - } - else { - text.style("text-decoration", "underline"); - text.style("fill", ChartConstants.DEFAULT_TITLE_COLOR); - } - } - }; - this.renderChart = function () { - var instance = this; - var extent = this.brush.extent(); - var minExtent = extent[0]; - var maxExtent = extent[1]; - var visibleItems = this.itemData.filter(function (d) { - return d.start < maxExtent && d.end > minExtent; - }); - this.miniView.select('.brush').call(this.brush.extent([minExtent, maxExtent])); - this.x1.domain([minExtent, maxExtent]); - var range = maxExtent - minExtent; - if (range > 2 * ChartTimeline.MILLISEC_PER_WEEK) { - this.xTimeAxis.ticks(d3.time.mondays, 1).tickFormat(d3.time.format('%a %d')); - } - else if (range > 2 * ChartTimeline.MILLISEC_PER_DAY) { - this.xTimeAxis.ticks(d3.time.days, 1).tickFormat(d3.time.format('%a %d')); - } - else if (range > 2 * ChartTimeline.MILLISEC_PER_HOUR) { - this.xTimeAxis.ticks(d3.time.hours, 4).tickFormat(d3.time.format('%H %p')); - } - else if (range > 2 * ChartTimeline.MILLISEC_PER_MINUTE) { - this.xTimeAxis.ticks(d3.time.minutes, 1).tickFormat(d3.time.format('%H:%M')); - } - else if (range >= 30000) { - this.xTimeAxis.ticks(d3.time.seconds, 10).tickFormat(d3.time.format('%H:%M:%S')); - } - else { - this.xTimeAxis.ticks(d3.time.seconds, 1).tickFormat(d3.time.format('%H:%M:%S')); - } - this.mainView.select('.timeAxis').call(this.xTimeAxis); - var rects = this.itemRects.selectAll('rect') - .data(visibleItems, function (d) { return d.id; }) - .attr('x', function (d) { return instance.x1(d.start); }) - .attr('width', function (d) { return instance.x1(d.end) - instance.x1(d.start); }); - rects.enter().append('rect') - .attr('x', function (d) { return instance.x1(d.start); }) - .attr('y', function (d) { return instance.y1(d.lane) + ChartTimeline.ENTRY_LANE_HEIGHT_OFFSET_FRACTION * instance.y1(1) + 0.5; }) - .attr('width', function (d) { return instance.x1(d.end) - instance.x1(d.start); }) - .attr('height', function (d) { return ChartTimeline.ENTRY_LANE_HEIGHT_TOTAL_FRACTION * instance.y1(1); }) - .attr('stroke', 'black') - .attr('fill', function (d) { - if (d.color) - return d.color; - return ChartTimeline.DEFAULT_COLOR; - }) - .attr('stroke-width', 1); - rects.exit().remove(); - var labels = this.itemRects.selectAll('text') - .data(visibleItems, function (d) { - return d.id; - }) - .attr('x', function (d) { - return instance.x1(Math.max(d.start, minExtent)) + 2; - }) - .attr('fill', 'black'); - labels.enter().append('text') - .text(function (d) { - if (instance.x1(d.end) - instance.x1(d.start) <= 30) - return ""; - if (d.label) - return d.label; - return ""; - }) - .attr('x', function (d) { - return instance.x1(Math.max(d.start, minExtent)) + 2; - }) - .attr('y', function (d) { - return instance.y1(d.lane) + .4 * instance.y1(1) + 0.5; - }) - .attr('text-anchor', 'start') - .attr('class', 'itemLabel') - .attr('fill', 'black'); - labels.exit().remove(); - }; - this.moveBrush = function () { - var origin = d3.mouse(this.rect[0]); - var time = this.x.invert(origin[0]).getTime(); - var halfExtent = (this.brush.extent()[1].getTime() - this.brush.extent()[0].getTime()) / 2; - this.brush.extent([new Date(time - halfExtent), new Date(time + halfExtent)]); - this.renderChart(); - }; - this.getMiniViewPaths = function (items) { - var paths = {}, d, offset = .5 * this.y2(1) + 0.5, result = []; - for (var i = 0; i < items.length; i++) { - d = items[i]; - if (!paths[d.class]) - paths[d.class] = ''; - paths[d.class] += ['M', this.x(d.start), (this.y2(d.lane) + offset), 'H', this.x(d.end)].join(' '); - } - for (var className in paths) { - result.push({ class: className, path: paths[className] }); - } - return result; - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ChartTimeline]]; - this.laneNames = json['laneNames']; - this.laneData = json['laneData']; - } - ChartTimeline.MINI_LANE_HEIGHT_PX = 12; - ChartTimeline.ENTRY_LANE_HEIGHT_OFFSET_FRACTION = 0.05; - ChartTimeline.ENTRY_LANE_HEIGHT_TOTAL_FRACTION = 0.90; - ChartTimeline.MILLISEC_PER_MINUTE = 60 * 1000; - ChartTimeline.MILLISEC_PER_HOUR = 60 * ChartTimeline.MILLISEC_PER_MINUTE; - ChartTimeline.MILLISEC_PER_DAY = 24 * ChartTimeline.MILLISEC_PER_HOUR; - ChartTimeline.MILLISEC_PER_WEEK = 7 * ChartTimeline.MILLISEC_PER_DAY; - ChartTimeline.DEFAULT_COLOR = "LightGrey"; - return ChartTimeline; -}(Chart)); -var StyleChart = (function (_super) { - __extends(StyleChart, _super); - function StyleChart(jsonObj) { - var _this = this; - _super.call(this, jsonObj['StyleChart']); - this.getStrokeWidth = function () { return _this.strokeWidth; }; - this.getPointSize = function () { return _this.pointSize; }; - this.getSeriesColors = function () { return _this.seriesColors; }; - this.getSeriesColor = function (idx) { - if (!this.seriesColors || idx < 0 || idx > this.seriesColors.length) - return null; - return _this.seriesColors[idx]; - }; - this.getAxisStrokeWidth = function () { return _this.axisStrokeWidth; }; - this.getTitleStyle = function () { return _this.titleStyle; }; - var style = jsonObj['StyleChart']; - if (style) { - this.strokeWidth = style['strokeWidth']; - this.pointSize = style['pointSize']; - this.seriesColors = style['seriesColors']; - if (style['titleStyle']) - this.titleStyle = new StyleText(style['titleStyle']); - } - } - return StyleChart; -}(Style)); -var ComponentDiv = (function (_super) { - __extends(ComponentDiv, _super); - function ComponentDiv(jsonStr) { - _super.call(this, ComponentType.ComponentDiv); - this.render = function (appendToObject) { - var newDiv = $('
'); - newDiv.uniqueId(); - if (this.style) { - if (this.style.getWidth()) { - var unit = this.style.getWidthUnit(); - newDiv.width(this.style.getWidth() + (unit ? unit : "")); - } - if (this.style.getHeight()) { - var unit = this.style.getHeightUnit(); - newDiv.height(this.style.getHeight() + (unit ? unit : "")); - } - if (this.style.getBackgroundColor()) - newDiv.css("background-color", this.style.getBackgroundColor()); - if (this.style.getFloatValue()) - newDiv.css("float", this.style.getFloatValue()); - } - appendToObject.append(newDiv); - if (this.components) { - for (var i = 0; i < this.components.length; i++) { - this.components[i].render(newDiv); - } - } - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ComponentDiv]]; - var components = json['components']; - if (components) { - this.components = []; - for (var i = 0; i < components.length; i++) { - var asStr = JSON.stringify(components[i]); - this.components.push(Component.getComponent(asStr)); - } - } - if (json['style']) - this.style = new StyleDiv(json['style']); - } - return ComponentDiv; -}(Component)); -var StyleDiv = (function (_super) { - __extends(StyleDiv, _super); - function StyleDiv(jsonObj) { - var _this = this; - _super.call(this, jsonObj['StyleDiv']); - this.getFloatValue = function () { return _this.floatValue; }; - if (jsonObj && jsonObj['StyleDiv']) - this.floatValue = jsonObj['StyleDiv']['floatValue']; - } - return StyleDiv; -}(Style)); -var DecoratorAccordion = (function (_super) { - __extends(DecoratorAccordion, _super); - function DecoratorAccordion(jsonStr) { - _super.call(this, ComponentType.DecoratorAccordion); - this.render = function (appendToObject) { - var s = this.style; - var outerDiv = $('
'); - outerDiv.uniqueId(); - var titleDiv; - if (this.title) - titleDiv = $('
' + this.title + '
'); - else - titleDiv = $('
'); - titleDiv.uniqueId(); - outerDiv.append(titleDiv); - var innerDiv = $('
'); - innerDiv.uniqueId(); - outerDiv.append(innerDiv); - if (this.innerComponents) { - for (var i = 0; i < this.innerComponents.length; i++) { - this.innerComponents[i].render(innerDiv); - } - } - appendToObject.append(outerDiv); - if (this.defaultCollapsed) - outerDiv.accordion({ collapsible: true, heightStyle: "content", active: false }); - else - outerDiv.accordion({ collapsible: true, heightStyle: "content" }); - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.DecoratorAccordion]]; - this.title = json['title']; - this.defaultCollapsed = json['defaultCollapsed']; - var innerCs = json['innerComponents']; - if (innerCs) { - this.innerComponents = []; - for (var i = 0; i < innerCs.length; i++) { - var asStr = JSON.stringify(innerCs[i]); - this.innerComponents.push(Component.getComponent(asStr)); - } - } - if (json['style']) - this.style = new StyleAccordion(json['style']); - } - return DecoratorAccordion; -}(Component)); -var StyleAccordion = (function (_super) { - __extends(StyleAccordion, _super); - function StyleAccordion(jsonObj) { - _super.call(this, jsonObj['StyleAccordion']); - } - return StyleAccordion; -}(Style)); -var ComponentTable = (function (_super) { - __extends(ComponentTable, _super); - function ComponentTable(jsonStr) { - _super.call(this, ComponentType.ComponentTable); - this.render = function (appendToObject) { - var s = this.style; - var margin = Style.getMargins(s); - var tbl = document.createElement('table'); - tbl.style.width = '100%'; - if (s && s.getBorderWidthPx() != null) - tbl.setAttribute('border', String(s.getBorderWidthPx())); - if (s && s.getBackgroundColor()) - tbl.style.backgroundColor = s.getBackgroundColor(); - if (s && s.getWhitespaceMode()) - tbl.style.whiteSpace = s.getWhitespaceMode(); - if (s && s.getColumnWidths()) { - var colWidths = s.getColumnWidths(); - var unit = TSUtils.normalizeLengthUnit(s.getColumnWidthUnit()); - for (var i = 0; i < colWidths.length; i++) { - var col = document.createElement('col'); - col.setAttribute('width', colWidths[i] + unit); - tbl.appendChild(col); - } - } - var padTop = 1; - var padRight = 1; - var padBottom = 1; - var padLeft = 1; - if (this.header) { - var theader = document.createElement('thead'); - var headerRow = document.createElement('tr'); - if (s && s.getHeaderColor()) - headerRow.style.backgroundColor = s.getHeaderColor(); - for (var i = 0; i < this.header.length; i++) { - var headerd = document.createElement('th'); - headerd.style.padding = padTop + 'px ' + padRight + 'px ' + padBottom + 'px ' + padLeft + 'px'; - headerd.appendChild(document.createTextNode(this.header[i])); - headerRow.appendChild(headerd); - } - tbl.appendChild(headerRow); - } - if (this.content) { - var tbdy = document.createElement('tbody'); - for (var i = 0; i < this.content.length; i++) { - var tr = document.createElement('tr'); - for (var j = 0; j < this.content[i].length; j++) { - var td = document.createElement('td'); - td.style.padding = padTop + 'px ' + padRight + 'px ' + padBottom + 'px ' + padLeft + 'px'; - td.appendChild(document.createTextNode(this.content[i][j])); - tr.appendChild(td); - } - tbdy.appendChild(tr); - } - tbl.appendChild(tbdy); - } - appendToObject.append(tbl); - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ComponentTable]]; - this.header = json['header']; - this.content = json['content']; - if (json['style']) - this.style = new StyleTable(json['style']); - } - return ComponentTable; -}(Component)); -var StyleTable = (function (_super) { - __extends(StyleTable, _super); - function StyleTable(jsonObj) { - var _this = this; - _super.call(this, jsonObj['StyleTable']); - this.getColumnWidths = function () { return _this.columnWidths; }; - this.getColumnWidthUnit = function () { return _this.columnWidthUnit; }; - this.getBorderWidthPx = function () { return _this.borderWidthPx; }; - this.getHeaderColor = function () { return _this.headerColor; }; - this.getWhitespaceMode = function () { return _this.whitespaceMode; }; - var style = jsonObj['StyleTable']; - if (style) { - this.columnWidths = jsonObj['StyleTable']['columnWidths']; - this.borderWidthPx = jsonObj['StyleTable']['borderWidthPx']; - this.headerColor = jsonObj['StyleTable']['headerColor']; - this.columnWidthUnit = jsonObj['StyleTable']['columnWidthUnit']; - this.whitespaceMode = jsonObj['StyleTable']['whitespaceMode']; - } - } - return StyleTable; -}(Style)); -var ComponentText = (function (_super) { - __extends(ComponentText, _super); - function ComponentText(jsonStr) { - var _this = this; - _super.call(this, ComponentType.ComponentText); - this.render = function (appendToObject) { - var textNode = document.createTextNode(_this.text); - if (_this.style) { - var newSpan = document.createElement('span'); - if (_this.style.getFont()) - newSpan.style.font = _this.style.getFont(); - if (_this.style.getFontSize() != null) - newSpan.style.fontSize = _this.style.getFontSize() + "pt"; - if (_this.style.getUnderline() != null) - newSpan.style.textDecoration = 'underline'; - if (_this.style.getColor()) - newSpan.style.color = _this.style.getColor(); - if (_this.style.getMarginTop()) - newSpan.style.marginTop = _this.style.getMarginTop() + "px"; - if (_this.style.getMarginBottom()) - newSpan.style.marginBottom = _this.style.getMarginBottom() + "px"; - if (_this.style.getMarginLeft()) - newSpan.style.marginLeft = _this.style.getMarginLeft() + "px"; - if (_this.style.getMarginRight()) - newSpan.style.marginRight = _this.style.getMarginRight() + "px"; - if (_this.style.getWhitespacePre()) - newSpan.style.whiteSpace = 'pre'; - newSpan.appendChild(textNode); - appendToObject.append(newSpan); - } - else { - var newSpan = document.createElement('span'); - newSpan.appendChild(textNode); - appendToObject.append(newSpan); - } - }; - var json = JSON.parse(jsonStr); - if (!json["componentType"]) - json = json[ComponentType[ComponentType.ComponentText]]; - this.text = json['text']; - if (json['style']) - this.style = new StyleText(json['style']); - } - return ComponentText; -}(Component)); -var StyleText = (function (_super) { - __extends(StyleText, _super); - function StyleText(jsonObj) { - var _this = this; - _super.call(this, jsonObj['StyleText']); - this.getFont = function () { return _this.font; }; - this.getFontSize = function () { return _this.fontSize; }; - this.getUnderline = function () { return _this.underline; }; - this.getColor = function () { return _this.color; }; - this.getWhitespacePre = function () { return _this.whitespacePre; }; - var style = jsonObj['StyleText']; - if (style) { - this.font = style['font']; - this.fontSize = style['fontSize']; - this.underline = style['underline']; - this.color = style['color']; - this.whitespacePre = style['whitespacePre']; - } - } - return StyleText; -}(Style)); -//# sourceMappingURL=dl4j-ui.js.map \ No newline at end of file diff --git a/arbiter/arbiter-ui/src/main/resources/deeplearning4jUiAssets/dl4j-ui.js.map b/arbiter/arbiter-ui/src/main/resources/deeplearning4jUiAssets/dl4j-ui.js.map deleted file mode 100644 index 3545aed31..000000000 --- a/arbiter/arbiter-ui/src/main/resources/deeplearning4jUiAssets/dl4j-ui.js.map +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file diff --git a/arbiter/arbiter-ui/src/main/resources/templates/ArbiterUI.html b/arbiter/arbiter-ui/src/main/resources/templates/ArbiterUI.html deleted file mode 100644 index a1b4e92a0..000000000 --- a/arbiter/arbiter-ui/src/main/resources/templates/ArbiterUI.html +++ /dev/null @@ -1,638 +0,0 @@ - - - - - - DL4J - Arbiter UI - - - - - - - - - - - - - - - - - - - - -
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Deeplearning4J - Arbiter UI
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Summary

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Optimization Settings

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Results
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Selected Result

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- - \ No newline at end of file diff --git a/arbiter/arbiter-ui/src/test/java/org/deeplearning4j/arbiter/optimize/AssertTestsExtendBaseClass.java b/arbiter/arbiter-ui/src/test/java/org/deeplearning4j/arbiter/optimize/AssertTestsExtendBaseClass.java deleted file mode 100644 index fcf3066e2..000000000 --- a/arbiter/arbiter-ui/src/test/java/org/deeplearning4j/arbiter/optimize/AssertTestsExtendBaseClass.java +++ /dev/null @@ -1,50 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ -package org.deeplearning4j.arbiter.optimize; - -import lombok.extern.slf4j.Slf4j; -import org.nd4j.common.tests.AbstractAssertTestsClass; -import org.deeplearning4j.BaseDL4JTest; - -import java.util.*; - -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - -@Slf4j -public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { - - @Override - protected Set> getExclusions() { - //Set of classes that are exclusions to the rule (either run manually or have their own logging + timeouts) - return new HashSet<>(); - } - - @Override - protected String getPackageName() { - return "org.deeplearning4j.arbiter.optimize"; - } - - @Override - protected Class getBaseClass() { - return BaseDL4JTest.class; - } -} diff --git a/arbiter/arbiter-ui/src/test/java/org/deeplearning4j/arbiter/optimize/TestBasic.java b/arbiter/arbiter-ui/src/test/java/org/deeplearning4j/arbiter/optimize/TestBasic.java deleted file mode 100644 index 3ecefe0b3..000000000 --- a/arbiter/arbiter-ui/src/test/java/org/deeplearning4j/arbiter/optimize/TestBasic.java +++ /dev/null @@ -1,791 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.deeplearning4j.arbiter.optimize; - -import io.netty.handler.codec.http.HttpResponseStatus; -import lombok.NonNull; -import lombok.extern.slf4j.Slf4j; -import org.deeplearning4j.BaseDL4JTest; -import org.deeplearning4j.core.storage.StatsStorage; -import org.deeplearning4j.arbiter.ComputationGraphSpace; -import org.deeplearning4j.arbiter.MultiLayerSpace; -import org.deeplearning4j.arbiter.conf.updater.SgdSpace; -import org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace; -import org.deeplearning4j.arbiter.layers.DenseLayerSpace; -import org.deeplearning4j.arbiter.layers.OutputLayerSpace; -import org.deeplearning4j.arbiter.optimize.api.CandidateGenerator; -import org.deeplearning4j.arbiter.optimize.api.ParameterSpace; -import org.deeplearning4j.arbiter.optimize.api.data.DataProvider; -import org.deeplearning4j.arbiter.optimize.api.data.DataSource; -import org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition; -import org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition; -import org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration; -import org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator; -import org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace; -import org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace; -import org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner; -import org.deeplearning4j.arbiter.optimize.runner.listener.StatusListener; -import org.deeplearning4j.arbiter.saver.local.FileModelSaver; -import org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction; -import org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction; -import org.deeplearning4j.arbiter.task.ComputationGraphTaskCreator; -import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator; -import org.deeplearning4j.arbiter.ui.listener.ArbiterStatusListener; -import org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator; -import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; -import org.deeplearning4j.nn.conf.inputs.InputType; -import org.deeplearning4j.nn.weights.WeightInit; -import org.deeplearning4j.ui.api.UIServer; -import org.deeplearning4j.ui.model.storage.InMemoryStatsStorage; -import org.junit.Ignore; -import org.junit.Test; -import org.nd4j.common.function.Function; -import org.nd4j.evaluation.classification.Evaluation; -import org.nd4j.linalg.activations.Activation; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.linalg.lossfunctions.LossFunctions; - -import java.io.File; -import java.io.IOException; -import java.io.UnsupportedEncodingException; -import java.net.HttpURLConnection; -import java.net.URL; -import java.net.URLEncoder; -import java.util.*; -import java.util.concurrent.TimeUnit; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertTrue; - -/** - * Created by Alex on 19/07/2017. - */ -@Slf4j -public class TestBasic extends BaseDL4JTest { - - @Override - public long getTimeoutMilliseconds() { - return 3600_000L; - } - - @Test - @Ignore - public void testBasicUiOnly() throws Exception { - - UIServer.getInstance(); - - Thread.sleep(1000_000); - } - - @Test - @Ignore - public void testBasicMnist() throws Exception { - Nd4j.setDefaultDataTypes(DataType.FLOAT, DataType.FLOAT); - - MultiLayerSpace mls = getMultiLayerSpaceMnist(); - Map commands = new HashMap<>(); -// commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new MnistDataSetProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - Thread.sleep(1000_000); - } - - private static MultiLayerSpace getMultiLayerSpaceMnist() { - return new MultiLayerSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .addLayer( - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 30)) - .kernelSize(new DiscreteParameterSpace<>(new int[]{3, 3}, - new int[]{4, 4}, new int[]{5, 5})) - .stride(new DiscreteParameterSpace<>(new int[]{1, 1}, - new int[]{2, 2})) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build()) - .addLayer(new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 128)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), new IntegerParameterSpace(0, 1), true) //0 to 1 layers - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .setInputType(InputType.convolutionalFlat(28, 28, 1)) - .build(); - } - - @Test - @Ignore - public void testBasicMnistDataSource() throws InterruptedException { - ParameterSpace learningRateHyperparam = new ContinuousParameterSpace(0.0001, 0.1); - ParameterSpace layerSizeHyperparam = new IntegerParameterSpace(16, 256); - - MultiLayerSpace hyperparameterSpace = new MultiLayerSpace.Builder() - .weightInit(WeightInit.XAVIER) - .l2(0.0001) - .updater(new SgdSpace(learningRateHyperparam)) - .addLayer(new DenseLayerSpace.Builder() - .nIn(784) - .activation(Activation.LEAKYRELU) - .nOut(layerSizeHyperparam) - .build()) - .addLayer(new OutputLayerSpace.Builder() - .nOut(10) - .activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT) - .build()) - .build(); - CandidateGenerator candidateGenerator = new RandomSearchGenerator(hyperparameterSpace, null); - ScoreFunction scoreFunction = new EvaluationScoreFunction(Evaluation.Metric.ACCURACY); - TerminationCondition[] terminationConditions = { - new MaxTimeCondition(5, TimeUnit.MINUTES), - new MaxCandidatesCondition(2)}; - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - Class ds = MnistDataSource.class; - Properties dsp = new Properties(); - dsp.setProperty("minibatch", "8"); - OptimizationConfiguration configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataSource(ds, dsp) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(scoreFunction) - .terminationConditions(terminationConditions) - .build(); - - IOptimizationRunner runner = new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - Thread.sleep(90000); - } - - - @Test - @Ignore - public void testBasicMnistCompGraph() throws Exception { - - ComputationGraphSpace cgs = new ComputationGraphSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .addInputs("in") - .addLayer("0", - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 30)) - .kernelSize(new DiscreteParameterSpace<>(new int[]{3, 3}, - new int[]{4, 4}, new int[]{5, 5})) - .stride(new DiscreteParameterSpace<>(new int[]{1, 1}, - new int[]{2, 2})) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build(), "in") - .addLayer("1", new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 128)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), "0") - .addLayer("out", new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "1") - .setOutputs("out") - .setInputTypes(InputType.convolutionalFlat(28, 28, 1)) - .build(); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(cgs); - DataProvider dataProvider = new MnistDataSetProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnistCG\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new ComputationGraphTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - Thread.sleep(100000); - } - - - @Test - @Ignore - public void testCandidateGenerationExceptionsMnist() throws Exception { - - //Idea: Create a configuration that is not physically realizable, which should throw an exception - // during the candidate generation phase - //This exception should be visible in UI, but training should continue otherwise - - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .dropOut(new ContinuousParameterSpace(0.2, 0.7)) - .addLayer( - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 5)) - .kernelSize(new DiscreteParameterSpace<>(new int[]{14, 14}, new int[]{30, 30})) - .stride(2, 2) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build()) - .addLayer(new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 128)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), new IntegerParameterSpace(0, 1), true) //0 to 1 layers - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .setInputType(InputType.convolutionalFlat(28, 28, 1)) - .build(); - Map commands = new HashMap<>(); -// commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new MnistDataSetProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - Thread.sleep(1000_000); - } - - - @Test - @Ignore - public void testCandidateExecutionExceptionsMnist() throws Exception { - //Idea: Create a configuration that will throw an exception in the *execution* stage - // How? let's set wrong nOut - //This exception should be visible in UI, but training should continue otherwise - - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .dropOut(new ContinuousParameterSpace(0.2, 0.7)) - .addLayer( - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 5)) - .kernelSize(new DiscreteParameterSpace<>(new int[]{3, 3}, new int[]{4, 4})) - .stride(2, 2) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build()) - .addLayer(new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 64)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), new IntegerParameterSpace(0, 1), true) //0 to 1 layers - .addLayer(new OutputLayerSpace.Builder().nOut(99).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .setInputType(InputType.convolutionalFlat(28, 28, 1)) - .build(); - Map commands = new HashMap<>(); -// commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - DataProvider dataProvider = new MnistDataSetProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - Thread.sleep(1000_000); - } - - - @Test - @Ignore - public void testExecutionExceptionMnistCompGraph() throws Exception { - - //Idea: Create a configuration that will throw an exception in the *execution* stage - // How? let's set wrong nOut - //This exception should be visible in UI, but training should continue otherwise - - ComputationGraphSpace cgs = new ComputationGraphSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .dropOut(new ContinuousParameterSpace(0.2, 0.7)) - .addInputs("in") - .addLayer("0", - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 30)) - .kernelSize(new DiscreteParameterSpace<>(new int[]{3, 3}, - new int[]{4, 4}, new int[]{5, 5})) - .stride(new DiscreteParameterSpace<>(new int[]{1, 1}, - new int[]{2, 2})) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build(), "in") - .addLayer("1", new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 64)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), "0") - .addLayer("out", new OutputLayerSpace.Builder().nIn(99).nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build(), "1") - .setOutputs("out") - .setInputTypes(InputType.convolutionalFlat(28, 28, 1)) - .build(); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(cgs); - DataProvider dataProvider = new MnistDataSetProvider(); - - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnistCG\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataProvider(dataProvider) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES), - new MaxCandidatesCondition(100)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new ComputationGraphTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - Thread.sleep(1000_000); - } - - - /** - * Visualize multiple optimization sessions run one after another on single-session mode UI - * @throws InterruptedException if current thread has been interrupted - */ - @Test - @Ignore - public void testBasicMnistMultipleSessions() throws InterruptedException { - - MultiLayerSpace mls = new MultiLayerSpace.Builder() - .updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2))) - .l2(new ContinuousParameterSpace(0.0001, 0.05)) - .dropOut(new ContinuousParameterSpace(0.2, 0.7)) - .addLayer( - new ConvolutionLayerSpace.Builder().nIn(1) - .nOut(new IntegerParameterSpace(5, 30)) - .kernelSize(new DiscreteParameterSpace<>(new int[]{3, 3}, - new int[]{4, 4}, new int[]{5, 5})) - .stride(new DiscreteParameterSpace<>(new int[]{1, 1}, - new int[]{2, 2})) - .activation(new DiscreteParameterSpace<>(Activation.RELU, - Activation.SOFTPLUS, Activation.LEAKYRELU)) - .build()) - .addLayer(new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 128)) - .activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH)) - .build(), new IntegerParameterSpace(0, 1), true) //0 to 1 layers - .addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX) - .lossFunction(LossFunctions.LossFunction.MCXENT).build()) - .setInputType(InputType.convolutionalFlat(28, 28, 1)) - .build(); - Map commands = new HashMap<>(); -// commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName()); - - //Define configuration: - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands); - - Class ds = MnistDataSource.class; - Properties dsp = new Properties(); - dsp.setProperty("minibatch", "8"); - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\").getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataSource(ds, dsp) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(1, TimeUnit.MINUTES), - new MaxCandidatesCondition(3)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - StatsStorage ss = new InMemoryStatsStorage(); - - - StatusListener sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - runner.execute(); - - - candidateGenerator = new RandomSearchGenerator(mls, commands); - configuration = new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataSource(ds, dsp) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(1, TimeUnit.MINUTES), - new MaxCandidatesCondition(3)) - .build(); - - runner = new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - sl = new ArbiterStatusListener(ss); - runner.addListeners(sl); - - UIServer.getInstance().attach(ss); - - runner.execute(); - - Thread.sleep(1000_000); - } - - /** - * Auto-attach multiple optimization sessions to multi-session mode UI - * @throws IOException if could not connect to the server - */ - @Test - public void testUiMultiSessionAutoAttach() throws IOException { - - //Define configuration: - MultiLayerSpace mls = getMultiLayerSpaceMnist(); - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls); - - Class ds = MnistDataSource.class; - Properties dsp = new Properties(); - dsp.setProperty("minibatch", "8"); - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestMultiSessionAutoAttach\\") - .getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataSource(ds, dsp) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(10, TimeUnit.SECONDS), - new MaxCandidatesCondition(1)) - .build(); - - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - - // add 3 different sessions to the same execution - HashMap statsStorageForSession = new HashMap<>(); - for (int i = 0; i < 3; i++) { - StatsStorage ss = new InMemoryStatsStorage(); - @NonNull String sessionId = "sid" + i; - statsStorageForSession.put(sessionId, ss); - StatusListener sl = new ArbiterStatusListener(sessionId, ss); - runner.addListeners(sl); - } - - Function statsStorageProvider = statsStorageForSession::get; - UIServer uIServer = UIServer.getInstance(true, statsStorageProvider); - String serverAddress = uIServer.getAddress(); - - runner.execute(); - - for (String sessionId : statsStorageForSession.keySet()) { - /* - * Visiting /arbiter/:sessionId to auto-attach StatsStorage - */ - String sessionUrl = sessionUrl(uIServer.getAddress(), sessionId); - HttpURLConnection conn = (HttpURLConnection) new URL(sessionUrl).openConnection(); - conn.connect(); - - log.info("Checking auto-attaching Arbiter session at {}", sessionUrl(serverAddress, sessionId)); - assertEquals(HttpResponseStatus.OK.code(), conn.getResponseCode()); - assertTrue(uIServer.isAttached(statsStorageForSession.get(sessionId))); - } - } - - /** - * Attach multiple optimization sessions to multi-session mode UI by manually visiting session URL - * @throws Exception if an error occurred - */ - @Test - @Ignore - public void testUiMultiSessionManualAttach() throws Exception { - Nd4j.setDefaultDataTypes(DataType.FLOAT, DataType.FLOAT); - - //Define configuration: - MultiLayerSpace mls = getMultiLayerSpaceMnist(); - CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls); - - Class ds = MnistDataSource.class; - Properties dsp = new Properties(); - dsp.setProperty("minibatch", "8"); - - String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\") - .getAbsolutePath(); - - File f = new File(modelSavePath); - if (f.exists()) - f.delete(); - f.mkdir(); - if (!f.exists()) - throw new RuntimeException(); - - OptimizationConfiguration configuration = - new OptimizationConfiguration.Builder() - .candidateGenerator(candidateGenerator).dataSource(ds, dsp) - .modelSaver(new FileModelSaver(modelSavePath)) - .scoreFunction(new TestSetLossScoreFunction(true)) - .terminationConditions(new MaxTimeCondition(10, TimeUnit.MINUTES), - new MaxCandidatesCondition(10)) - .build(); - - - // parallel execution of multiple optimization sessions - HashMap statsStorageForSession = new HashMap<>(); - for (int i = 0; i < 3; i++) { - String sessionId = "sid" + i; - IOptimizationRunner runner = - new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator()); - StatsStorage ss = new InMemoryStatsStorage(); - statsStorageForSession.put(sessionId, ss); - StatusListener sl = new ArbiterStatusListener(sessionId, ss); - runner.addListeners(sl); - // Asynchronous execution - new Thread(runner::execute).start(); - } - - Function statsStorageProvider = statsStorageForSession::get; - UIServer uIServer = UIServer.getInstance(true, statsStorageProvider); - String serverAddress = uIServer.getAddress(); - - for (String sessionId : statsStorageForSession.keySet()) { - log.info("Arbiter session can be attached at {}", sessionUrl(serverAddress, sessionId)); - } - - Thread.sleep(1000_000); - } - - - /** - * Get URL for arbiter session on given server address - * @param serverAddress server address, e.g.: http://localhost:9000 - * @param sessionId session ID (will be URL-encoded) - * @return URL - * @throws UnsupportedEncodingException if the character encoding is not supported - */ - private static String sessionUrl(String serverAddress, String sessionId) throws UnsupportedEncodingException { - return String.format("%s/arbiter/%s", serverAddress, URLEncoder.encode(sessionId, "UTF-8")); - } - - private static class MnistDataSetProvider implements DataProvider { - - @Override - public DataSetIterator trainData(Map dataParameters) { - try { - if (dataParameters == null || dataParameters.isEmpty()) { - return new MnistDataSetIterator(64, 10000, false, true, true, 123); - } - if (dataParameters.containsKey("batchsize")) { - int b = (Integer) dataParameters.get("batchsize"); - return new MnistDataSetIterator(b, 10000, false, true, true, 123); - } - return new MnistDataSetIterator(64, 10000, false, true, true, 123); - } catch (Exception e) { - throw new RuntimeException(e); - } - } - - @Override - public DataSetIterator testData(Map dataParameters) { - return trainData(dataParameters); - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - - @Override - public String toString() { - return "MnistDataSetProvider()"; - } - } - - public static class MnistDataSource implements DataSource { - private int minibatch; - - public MnistDataSource() { - - } - - @Override - public void configure(Properties properties) { - this.minibatch = Integer.parseInt(properties.getProperty("minibatch", "16")); - } - - @Override - public Object trainData() { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(minibatch, true, 12345), 3); - } catch (Exception e) { - throw new RuntimeException(e); - } - } - - @Override - public Object testData() { - try { - return new EarlyTerminationDataSetIterator(new MnistDataSetIterator(minibatch, true, 12345), 3); - } catch (Exception e) { - throw new RuntimeException(e); - } - } - - @Override - public Class getDataType() { - return DataSetIterator.class; - } - } - -} diff --git a/arbiter/arbiter-ui/src/test/resources/logback.xml b/arbiter/arbiter-ui/src/test/resources/logback.xml deleted file mode 100644 index 410bdaae9..000000000 --- a/arbiter/arbiter-ui/src/test/resources/logback.xml +++ /dev/null @@ -1,51 +0,0 @@ - - - - - - logs/application.log - - %date - [%level] - from %logger in %thread - %n%message%n%xException%n - - - - - - %logger{15} - %message%n%xException{5} - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/arbiter/buildmultiplescalaversions.sh b/arbiter/buildmultiplescalaversions.sh deleted file mode 100755 index e04610a02..000000000 --- a/arbiter/buildmultiplescalaversions.sh +++ /dev/null @@ -1,53 +0,0 @@ -#! /bin/bash -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. -# -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ - -BASEDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" - -function echoError() { - (>&2 echo "$1") -} - -function scalaError() { - echoError "Changing Scala major version to 2.10 in the build did not change the state of your working copy, is Scala 2.11 still the default ?" - exit 2 -} - -function whatchanged() { - cd "$BASEDIR" - for i in $(git status -s --porcelain -- $(find ./ -mindepth 2 -name pom.xml)|awk '{print $2}'); do - echo "$(dirname $i)" - cd "$BASEDIR" - done -} - -set -eu -./change-scala-versions.sh 2.11 # should be idempotent, this is the default -mvn "$@" -./change-scala-versions.sh 2.10 -if [ -z "$(whatchanged)" ]; then - scalaError; -else - if [[ "${@#-pl}" = "$@" ]]; then - mvn -Dmaven.clean.skip=true -pl $(whatchanged| tr '\n' ',') -amd "$@" - else - # the arguments already tweak the project list ! don't tweak them more - # as this can lead to conflicts (excluding a project that's not part of - # the reactor) - mvn "$@" - fi -fi -./change-scala-versions.sh 2.11 # back to the default diff --git a/arbiter/pom.xml b/arbiter/pom.xml deleted file mode 100644 index 030650b56..000000000 --- a/arbiter/pom.xml +++ /dev/null @@ -1,353 +0,0 @@ - - - - - - - - org.deeplearning4j - deeplearning4j - 1.0.0-SNAPSHOT - - - 4.0.0 - - org.deeplearning4j - arbiter - pom - - Arbiter - Model Evaluation and Testing - - - - Apache License, Version 2.0 - http://www.apache.org/licenses/LICENSE-2.0.txt - repo - - - - - arbiter-deeplearning4j - arbiter-core - arbiter-server - arbiter-ui - - - - - org.projectlombok - lombok - ${lombok.version} - provided - - - - - - - org.apache.maven.wagon - wagon-http - 2.9 - - - - - - maven-source-plugin - ${maven-source-plugin.version} - - - net.revelc.code.formatter - formatter-maven-plugin - 2.12.1 - - ${session.executionRootDirectory}/contrib/formatter.xml - - arbiter-deeplearning4j - arbiter-core - - - - - - pl.project13.maven - git-commit-id-plugin - ${maven-git-commit-plugin.version} - - - - revision - - generate-resources - - - - true - - ${project.basedir}/target/generated-sources/src/main/resources/ai/skymind/${project.groupId}-${project.artifactId}-git.properties - - - true - - - - - - org.codehaus.mojo - build-helper-maven-plugin - ${maven-build-helper-plugin.version} - - - add-resource - generate-resources - - add-resource - - - - - - ${project.basedir}/target/generated-sources/src/main/resources - - - - - - - - - - - - - org.apache.maven.plugins - maven-enforcer-plugin - ${maven-enforcer-plugin.version} - - - test - enforce-test-resources - - enforce - - - ${skipTestResourceEnforcement} - - - test-nd4j-native,test-nd4j-cuda-11.0 - false - - - true - - - - - - - maven-javadoc-plugin - ${maven-javadoc-plugin.version} - - -Xdoclint:none - - - - attach-javadocs - - jar - - - - - - maven-source-plugin - ${maven-source-plugin.version} - - - attach-sources - - jar - - - - - - maven-surefire-plugin - ${maven-surefire-plugin.version} - - -Ddtype=double -Dfile.encoding=UTF-8 -Xmx3024m -Xms3024m - - true - false - - - - maven-release-plugin - 2.5.3 - - forked-path - - -Psonatype-oss-release -DskipTests ${arguments} - true - false - - - - maven-gpg-plugin - 1.6 - - ${gpg.passphrase} - - - - sign-artifacts - verify - - sign - - - - - - maven-compiler-plugin - ${maven-compiler-plugin.version} - - 1.7 - 1.7 - - - - net.alchim31.maven - scala-maven-plugin - ${maven-scala-plugin.version} - - - -deprecation - -explaintypes - -nobootcp - - - - - scala-compile-first - process-resources - - add-source - compile - - - - scala-test-compile - process-test-resources - - add-source - testCompile - - - - - - org.eclipse.m2e - lifecycle-mapping - 1.0.0 - - - - - - com.lewisd - lint-maven-plugin - [0.0.11,) - - check - - - - - - - - - - - - - - - - - - maven-surefire-report-plugin - ${maven-surefire-plugin.version} - - - - org.codehaus.mojo - cobertura-maven-plugin - 2.7 - - - - - - - test-nd4j-native - - - org.nd4j - nd4j-native - ${nd4j.version} - test - - - org.deeplearning4j - dl4j-test-resources - ${nd4j.version} - test - - - - - - test-nd4j-cuda-11.0 - - - org.nd4j - nd4j-cuda-11.0 - ${nd4j.version} - test - - - org.deeplearning4j - dl4j-test-resources - ${nd4j.version} - test - - - - - diff --git a/change-cuda-versions.sh b/change-cuda-versions.sh index e57ace496..f402b01e4 100755 --- a/change-cuda-versions.sh +++ b/change-cuda-versions.sh @@ -1,26 +1,32 @@ #!/usr/bin/env bash -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. # -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ -# This shell script is adapted from Apache Flink (in turn, adapted from Apache Spark) some modifications. + + + set -e -VALID_VERSIONS=( 9.2 10.0 10.1 10.2 11.0 ) +VALID_VERSIONS=( 9.2 10.0 10.1 10.2 11.0 11.1 11.2 ) usage() { echo "Usage: $(basename $0) [-h|--help] @@ -47,6 +53,14 @@ check_cuda_version() { check_cuda_version "$VERSION" case $VERSION in + 11.2) + VERSION2="8.1" + VERSION3="1.5.5-SNAPSHOT" + ;; + 11.1) + VERSION2="8.0" + VERSION3="1.5.5-SNAPSHOT" + ;; 11.0) VERSION2="8.0" VERSION3="1.5.4" diff --git a/change-scala-versions.sh b/change-scala-versions.sh index aace1b05e..3bedd6a90 100755 --- a/change-scala-versions.sh +++ b/change-scala-versions.sh @@ -1,22 +1,28 @@ #!/usr/bin/env bash -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. # -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ -# This shell script is adapted from Apache Flink (in turn, adapted from Apache Spark) some modifications. + + + set -e diff --git a/contrib/README.md b/contrib/README.md new file mode 100644 index 000000000..fb00d24f9 --- /dev/null +++ b/contrib/README.md @@ -0,0 +1,9 @@ +Contrib folder +--------------------------- + +This folder contains supplementary and retired code for the Eclipse Deeplearning4j project. + +1. Attic: These are modules that are no longer maintained, but kept in this repository for posterity. + +2. Codegen tools: Supplementary code for generating op definitions, and unit testing utilities for deeplearning4j +proper. \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0001-kotlin_dsl_as_source_of_truth.md b/contrib/codegen-tools/codegen/adr/0001-kotlin_dsl_as_source_of_truth.md new file mode 100644 index 000000000..af518e20f --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0001-kotlin_dsl_as_source_of_truth.md @@ -0,0 +1,49 @@ +# Use Kotlin-based DSL as the source of truth + +## Status + +ACCEPTED + +Discussed by: Paul Dubs, Alex Black, raver119 on 19. October 2019 + + +## Context + +This code generation experiment is meant to be our starting point for both the API unification for ND4J and SameDiff, +and the multi-language support. For this reason we have to define ops, or their interface, in a language neutral way. + +The initial idea was to use a Language Workbench like MPS. This had to be discarded because of bugs and limitations +encountered while trying to define a language that would work for a few simple examples. + +The next idea was to use Ops defined in JSON files. This would have allowed us to define Ops as human readable data and +read and write those files from any programming language. However, the drawback with this approach is that writing json +manually invites many problems if written manually (e.g. typos, bad structuring, having to look up the proper keys,...). +In order to rectify that drawback, we would have to create custom tooling, that we would have to maintain and that +contributors would have to use. + +Using a Java builder pattern based approach is very verbose. + +## Decision + +We use a Kotlin-based DSL to define Ops. + +## Consequences + +Using a full programming language as the platform to build our DSL has both advantages and drawbacks. + +### Drawbacks +* Contributors will have to install a JVM in order to be able to run code generation or get a serialized op graph +* Serialization is a one way road, we only output to JSON, but don't read from it +* Contributors to Op definitions have to learn about our DSL and maybe some Kotlin +* Contributors to the DSL will have to learn about Kotlin + + +### Advantages +* We can utilize the Java knowledge of the existing team for writing code generators as Kotlin is two-way interoperable + with Java and other JVM languages. +* We can utilize IntelliJ (or other IDEs supporting Kotlin) as an existing editor for Ops definitions. This provides us + with benefits like code completion, error highlighting +* We get compile time checks, freeing us from trivial errors like typos +* We can utilize some base features of Kotlin, like variable assignment to simplify the implementation +* Kotlin has first class DSL definition support, allowing us to make Op definitions almost as easy to read as a full + language workbench would have allowed \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0002-separate_object_graph_for_serialization.md b/contrib/codegen-tools/codegen/adr/0002-separate_object_graph_for_serialization.md new file mode 100644 index 000000000..96537ceb7 --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0002-separate_object_graph_for_serialization.md @@ -0,0 +1,40 @@ +# Splitting Object Graph for Code Gen and Serialization + +## Status + +ACCEPTED + +Discussed by: Paul Dubs & Alex Black on 07. November 2019 + + +## Context + +Serialization and Code Generation have different needs when it comes to how the object graph should be laid out. When +generating code, it is a lot easier to be able to directly access referenced objects and traverse through the graph. +However, if the same object graph is used for serialization, the same object will appear in multiple places. + +This becomes very apparent when defining constraints. A single constraint might be referring to an input multiple times, +and then there can also be multiple constraints that refer to multiple inputs. + +The main reason why we want to keep serialization in mind, is that we want to keep code generators in other languages as +a viable option. Just serializing the graph that is meant to be used during runtime in code generation however, would +can easily become a problem when object identity is required for equality comparisons. + +An implementer in a different language would therefore need work through that graph and find identical objects AND would +have to know where that identity is a coincidence and where it is meant to be that way. By creating an object graph that +makes this explicit, we make that work easier. + +## Decision + +We use two distinct object graphs. One is used for code generation, and the other is used for serialization. + + +## Consequences + +### Advantages +* Easier to work with object graphs that are aligned with their use-case +* Less error prone when access is direct + +### Disadvantages +* We have to explicitly transform one object graph into another +* If we want to support reading JSON back, we will have to also define the backwards transformation \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0003-dealing_with_inconsistencies_in_java_naming.md b/contrib/codegen-tools/codegen/adr/0003-dealing_with_inconsistencies_in_java_naming.md new file mode 100644 index 000000000..8a1eb2cca --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0003-dealing_with_inconsistencies_in_java_naming.md @@ -0,0 +1,33 @@ +# Dealing with Inconsistencies in Java Naming + +## Status + +ACCEPTED + +Discussed by: Paul Dubs, Alex Black, raver119 on 22. November 2019 + + +## Context + +There are slight inconsistencies in naming between existing op class definitions and factory methods. For example a +factory method called `bernoulli` in the `random` namespace with a corresponding op class called +`BernoulliDistribution`. + +Two possible solutions where suggested: +1. Add an additional property that provides us with the correct class name +2. Rename classes in ND4J to ensure consistency and provide backwards compatibility via deprecated subclasses + +## Decision + +For now we will introduce a `javaOpClass` property which in cases of inconsistency provides us with the correct class +name. + +## Consequences + +### Advantages +* We can start using this property immediately +* No need to change anything of the existing ND4J / SameDiff API + +### Disadvantages +* Inconsistency continues to exist within the Java codebase +* We have to take extra care to add the new property where needed \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0004-auto_initialization_for_inplace_operations.md b/contrib/codegen-tools/codegen/adr/0004-auto_initialization_for_inplace_operations.md new file mode 100644 index 000000000..c6bf14b50 --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0004-auto_initialization_for_inplace_operations.md @@ -0,0 +1,44 @@ +# Auto initialization for in-place operations + +## Status + +REJECTED + +Discussed by: Paul Dubs, Alex Black, raver119 on 25. November 2019 + + +## Context + +Some operations work in-place on the inputs that they are given in ND4J, but in SameDiff the same operations will +generate an array from a given shape. Examples for this include `BernoulliDistribution`, and other random ops, that +effectively initialize the array that they are given. + +From a consistency point of view, it would be nice if both API's would support both ways of using those ops. + + +## Decision + +We introduce an option to mark inputs as `inPlace = true` to make it clear that this input is going to be changed +in-place. In addition we introduce an option `supportsInPlaceInit = true` to mark an input as initialize-able. If the +`supportsInPlaceInit` option is enabled, two signatures for the Op will be created, one that takes an input, and one +that takes the appropriate shape and data type information in its stead. + + +## Consequences + +### Advantages +* We get support for both in-place and initialization use-cases +* Support for this use-case is explicitly defined in the DSL instead of implicit support by the code generator + +### Disadvantages +* Codegen becomes more complex, as it requires us to generate more signatures + + +## Reasons for Rejection +This feature would only come in handy on legacy ops. However, those ops will not be exposed to frontend languages +anymore starting from the next release. + +For the ops that replace them ("Custom Ops"), it is *always* possible to pass an output array, when used in NDArray +programming mode. Thereby making the in-place initialization support a side-effect of that general design. + +For support of both `op(out)` and `op(dataType, shape)` see ADR 0005 "Optional parameters and signatures". \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0005-optional_parameters_and_signatures.md b/contrib/codegen-tools/codegen/adr/0005-optional_parameters_and_signatures.md new file mode 100644 index 000000000..164b99ef1 --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0005-optional_parameters_and_signatures.md @@ -0,0 +1,108 @@ +# Optional parameters and signatures + +## Status + +ACCEPTED + +Discussed by: Alex Black, raver 119 and Paul Dubs on 25. November 2019 + +## Context + +Not all inputs or args (= parameters) are always required. + +Often there are sensible defaults available. We want to be able to make those defaults explicit where possible. + +Even though some parameters may be optional, they might become required in the presence of other optional parameters. + +We need a way to explicitly define what combinations are possible. + + +## Decision +We drop the `optional` property on parameters. Instead, parameters get an additional property `defaultValue`. It can be +set to either a fixed literal value (e.g. `7`, `"something"`, `null`), an Arg, or it may reference the specific methods +`shape()` and `dataType()` on inputs and outputs. Parameters with `defaultValue` specified are treated as optional. + +To be able to deal with languages that do not support default values for arguments, Signatures will be specified. +Signatures are specified using a `Signature(a,b,c){ "signature specific documentation" }` section for each signature. +With the signature specific documentation being optional. + +Signatures making use of outputs will only be generated for NDArray programming mode, not in SameDiff mode. This also +means that parameters with a `defaultValue` based on an output will be treated as required in SameDiff mode. + +If signatures are specified, only the specified signatures will be generated. + +If no signatures are explicitly specified, only the "all-arg" and "no-optional-arg" signatures will be generated. In +NDArray programming mode, the default signatures also include a variant that includes the output. + + +## Examples +### BatchNorm with all otherwise auto generated signatures stated explicitly + +```kotlin +Op("batchNorm") { + val input = Input(NUMERIC, "input") { description = "Input variable" } + val mean = Input(NUMERIC, "mean") { description = "Mean value. For 1d axis, this should match input.size(axis)" } + val variance = Input(NUMERIC, "variance") { description = "Variance value. For 1d axis, this should match input.size(axis)" } + val gamma = Input(NUMERIC, "gamma") { description = "Gamma value. For 1d axis, this should match input.size(axis)" } + val beta = Input(NUMERIC, "beta") { description = "Beta value. For 1d axis, this should match input.size(axis)" } + + val applyGamma = Arg(BOOL, "applyGamma") { description = ""; defaultValue = true} + val applyBeta = Arg(BOOL, "applyBeta") { description = ""; defaultValue = true} + val axis = Arg(INT, "axis"){ + count = AtLeast(1) + description = """ + For 2d CNN activations: 1 for NCHW format activations, or 3 for NHWC format activations. + For 3d CNN activations: 1 for NCDHW format, 4 for NDHWC + For 1d/RNN activations: 1 for NCW format, 2 for NWC + """.trimIndent() + } + + val out = Output(INT, "output"){ description = "Output variable for batch normalization" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Neural network batch normalization operation. + For details, see https://arxiv.org/abs/1502.03167 + """.trimIndent() + } + + Signature(input, mean, variance, gamma, beta, axis) + Signature(input, mean, variance, gamma, beta, applyGamma, applyBeta, axis) + Signature(out, input, mean, variance, gamma, beta, axis) + Signature(out, input, mean, variance, gamma, beta, applyGamma, applyBeta, axis) +} +``` + +### Random Uniform initialization with support for (dataType, shape) and (out) invocation +```kotlin +Op("uniform") { + val out = Output(NUMERIC, "output") { description = "new random %INPUT_TYPE%, where values are randomly sampled according to a uniform distribution" } + + val min = Arg(FLOATING_POINT, "min") { description = "Minimum value" } + val max = Arg(FLOATING_POINT, "max") { description = "Maximum value." } + val dataType = Arg(DATA_TYPE, "dataType") { description = "Data Type of the output array"; defaultValue = out.dataType() } + val shape = Arg(INT, "shape") { count = AtLeast(1); description = "Shape of the new random %INPUT_TYPE%, as a 1D array"; defaultValue = out.dataType() } + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a uniform distribution, + U(min,max) + """.trimIndent() + } + + Signature(min, max, dataType, shape) + Signature(out, min, max) +} +``` + + +## Consequences + +### Advantages +* We get to explicitly define edge cases +* We can make Signatures compatible with existing code +* Even in languages with default value support, the added signatures may become useful parts of the documentation + +### Disadvantages +* The order of definitions within the op changes to Output first, if inputs need to reference it + diff --git a/contrib/codegen-tools/codegen/adr/0006-op_specific_enums.md b/contrib/codegen-tools/codegen/adr/0006-op_specific_enums.md new file mode 100644 index 000000000..757c5af29 --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0006-op_specific_enums.md @@ -0,0 +1,40 @@ +# Op specific enums + +## Status + +ACCEPTED + +Discussed by: Alex Black, Robert Altena and Paul Dubs on 26. November 2019 + +## Context +Some ops have an ordinal parameter which switches between a few possible modes. Giving those modes a proper name +makes usage and documentation easier. + + +## Decision +We allow `Arg` sections to have an `ENUM` data type and add a `possibleValues` property to define the possible values +for this arg. The ordinal number of the enum is the same as its position within the `possibleValues` list starting from +`0`. + +A runtime check on op construction, will ensure that each enum arg has one or more possible values, and that default +values match one of the possible values (if applicable). + +On code generation, an appropriate representation of this enum will be generated in the target language. The name of +the generated enum will be derived from the name of the arg. + +### Example +```kotlin +Arg(ENUM, "padMode"){ + possibleValues = listOf("CONSTANT", "REFLECT", "SYMMETRIC") + description = "padding mode" +} +``` + +## Consequences + +### Advantages +* We get easily understandable names for otherwise in-transparent ordinal mode modifiers + +### Disadvantages +* The defined enum can only be used for a single op +* The defined enum is only usable with a single arg diff --git a/contrib/codegen-tools/codegen/adr/0007-configuration_objects.md b/contrib/codegen-tools/codegen/adr/0007-configuration_objects.md new file mode 100644 index 000000000..76120685d --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0007-configuration_objects.md @@ -0,0 +1,81 @@ +# Configuration Objects + +## Status + +ACCEPTED + +Discussed by Alex Black, raver119 and Paul Dubs on 27. November 2019. + +## Context +Some Ops (esp. convolution) have many parameters. Many of them can have reasonable defaults, but even then creating +signatures for evey reasonable configuration may be impossible, as those signatures would require different naming in +order to be actually distinguishable from each other. + +In other cases, an op may have a lot of same typed parameters that are required (e.g. GRU, LSTM, SRU) but it is very +easy to mix them up. + +For both of those cases (many optional parameters, easily mixed up required parameters) it is reasonable to use a +config holder with builder pattern in languages that do not support named or default parameters. + +In our current codebase those configurations are often used across several related ops. + + +## Decision +We add a `Config("name"){ ... }` section to the namespace context. It supports `Input` and `Arg` definitions in the same +way that `Op` does. + +Ops that want to use that config can use `useConfig(conf)`. As configs are often reused across related objects, this +will have the effect of a mixin: All inputs and args defined in that config will also be automatically defined on that +Op. If there is a naming conflict, an exception will be thrown at construction time. + +For default signatures, configs will be passed at the end, in the order that they were added to the Op. + +If other signatures are desired, configs, like regular inputs and args, can be passed to `Signature`. + +In languages that do not support default or named parameters, a config holder will be created, that will take the +parameters of the config using a builder pattern. For languages with default and named parameters, no additional config +holder will be created, and the parameters of the config will be treated as if they were directly configured on the Op. + +### Example +This example shows a very simple case in order to highlight how this feature would be used. +```kotlin +fun RNN() = Namespace("RNN"){ + val sruWeights = Config("SRUWeights"){ + Input(FLOATING_POINT, "weights"){ description = "Weights, with shape [inSize, 3*inSize]" } + Input(FLOATING_POINT, "bias"){ description = "Biases, with shape [2*inSize]" } + } + + Op("SRU"){ + Input(FLOATING_POINT, "x"){ description = "..." } + Input(FLOATING_POINT, "initialC"){ description = "..." } + Input(FLOATING_POINT, "mask"){ description = "..." } + + useConfig(sruWeights) + + Output(FLOATING_POINT, "out"){ description = "..." } + } + + Op("SRUCell"){ + val x = Input(FLOATING_POINT, "x"){ description = "..." } + val cLast = Input(FLOATING_POINT, "cLast"){ description = "..." } + + val conf = useConfig(sruWeights) + + Output(FLOATING_POINT, "out"){ description = "..." } + + // Just for demonstration purposes + Signature(x, cLast, conf) + } +} +``` + +## Consequences + +### Advantages +* Ops that share parameters can make that sharing explicit +* Easier definition of related ops with common parameters +* Simplifies usage of complex ops in languages without named parameters + +### Disadvantages +* Not all parameters are defined directly within an op anymore +* Configs are not shareable across namespaces \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0008-inheritance.md b/contrib/codegen-tools/codegen/adr/0008-inheritance.md new file mode 100644 index 000000000..96971733d --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0008-inheritance.md @@ -0,0 +1,89 @@ +# Inheritance + +## Status +ACCEPTED + +Discussed by Alex Black and Paul Dubs on 29. November 2019 and 2. December 2019. + +## Context +In many cases ops have a similar interface. For example all transform ops take a single input, but some of them take +additional arguments; all pairwise ops take two inputs, and so on. The documentation of those ops is often the result +of copy & paste with just a few little modifications, and changing anything later on suddenly becomes a huge undertaking +because what should effectively be a change in a single place, has to be changed in many places. + +Another issue that copy & paste based definitions bring to the table is that this practice effectively makes any +relationship between those ops implicit. + +When defining ops with the DSL we prefer to make things as explicit as possible, while also reducing repetition and +boilerplate. + +The existing inheritance mechanism, added without a formal proposal at the beginning of the project, allows the +definition of an abstract base op. The new op based on it, can copy any of the given parts before it gets to define its +own properties. This approach has the problem that we can't inherit from multiple base ops, and that we do not get any +direct access to its fields for ease of use. + +# Decision +We introduce an explicit mixin mechanism `Mixin("name") {...}` which can define any parts of any op, but isn't an Op +definition on its own. Mixins can be defined at top-level, thereby being usable across namespaces. + +A mixin is mixed into an op with `useMixin(mixinReference, ...options...)` within an op context. It will add all (if +not otherwise configured) definitions of the mixin to the current op as if they were copied into its place. +If `useMixin(ref)` is used as the first thing within an op definition, then it will behave exactly like the old +inheritance mechanism. + +`useMixin(ref)` returns a holder object, that can be used to reference its parameters. + +The available options on `useMixin` are `keepInputs`, `keepArgs`, `keepOutputs`, `keepSignatures`, `keepDoc`, +`keepConstraints`. They default to `true`. + +If there is a naming conflict between mixins or between mixin and op definition, the last definition wins. + +### Example +```kotlin + +val indexAccum = Mixin("indexAccum"){ + legacy = true + javaPackage = "org.nd4j.linalg.api.ops.impl.indexaccum" + val input = Input(NUMERIC, "in") { description = "Input variable" } + val keepDims = Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as length 1). False: remove the reduction dimensions"; defaultValue = false } + val dims = Arg(INT, "dimensions"){ count = AtLeast(1); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } + + Signature(input, dims) + AllParamSignature(withOutput = false) +} + + +Namespace("math"){ + Op("firstIndex") { + val idxAccum = useMixin(indexAccum, keepSignatures=false) + var c = Arg(CONDITION, "condition") { description = "Condition to check on input variable" } + Signature(idxAccum.input("in"), c, idxAccum.arg("dimensions")) + Signature(idxAccum.input("in"), c, idxAccum.arg("keepDims"), idxAccum.arg("dimensions")) + + Doc(Language.ANY, DocScope.ALL){ + """ + First index reduction operation. + Returns a variable that contains the index of the first element that matches the specified condition (for each + slice along the specified dimensions) + Note that if keepDims = true, the output variable has the same rank as the input variable, + with the reduced dimensions having size 1. This can be useful for later broadcast operations (such as subtracting + the mean along a dimension). + Example: if input has shape [a,b,c] and dimensions=[1] then output has shape: + keepDims = true: [a,1,c] + keepDims = false: [a,c] + """.trimIndent() + } + } +} +``` + + +## Consequences +### Advantages +* We can have multiple inheritance +* We can share op similarities across namespaces +* We get explicit access to parameters defined in mixins + +### Disadvantages +* We have to adapt our current usage \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0009-aliasing.md b/contrib/codegen-tools/codegen/adr/0009-aliasing.md new file mode 100644 index 000000000..5fc6777c0 --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0009-aliasing.md @@ -0,0 +1,72 @@ +# Aliasing + +## Status +ACCEPTED + +Discussed by Alex Black and Paul Dubs on 05. March 2020. + + +## Context +The API surface area is very large over all those namespaces. For consistency with our previous manually created API we want to be able to alias ops into different namespaces. Those aliases are meant as a convenience for users, so they can find ops more easily. + +# Decision +We introduce an aliasing mechanism `Alias(NamespaceName().op("opName"))` at the Namespace level, which can reference an op directly. + +When an op is aliased like that, all of that ops signatures will be available in the referencing namespace. However, they will get an additional note in their documentation saying that it is an alias to the original op. In addition, the implementation of an alias signature, is a direct call of the same signature in the original namespace. + +It is not allowed to alias an op from a namespace that only has it because it has aliased it itself. + +When the requested op is not part of the given namespace, trying to alias it will throw an OpNotFoundException. + +### Example +#### Definitions +```kotlin +fun BaseOps() = Namespace("BaseOps"){ + Op("mmul") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + Input(NUMERIC, "x") { description = "First input variable" } + Input(NUMERIC, "y") { description = "Second input variable" } + Arg(BOOL, "transposeX") { description = "Transpose x (first argument)"; defaultValue=false } + Arg(BOOL, "transposeY") { description = "Transpose y (second argument)"; defaultValue=false } + Arg(BOOL, "transposeZ") { description = "Transpose result array"; defaultValue=false } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix multiplication: out = mmul(x,y) + Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc. + """.trimIndent() + } + } +} + +fun Linalg() = Namespace("Linalg"){ + Alias(BaseOps(), "mmul") +} +``` + +#### Output +This output is meant as a possible example. It is not what it will look like exactly once this feature is implemented. + +```java +public class Linalg{ + /** + * Matrix multiplication: out = mmul(x,y)
+ * Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.
+ * + * Alias of basepackage.baseOps.mmul(x, y)
+ * + * @param x First input variable + * @param y Second input variable + */ + public static INDArray mmul(INDArray x, INDArray y){ + return basepakage.baseOps.mmul(x,y); + } +} +``` + +## Consequences +### Advantages +* We can make the API more flexible by allowing ops to be available from other namespaces + +### Disadvantages +* The API becomes more crowded \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/adr/0010-ir-codegen.md b/contrib/codegen-tools/codegen/adr/0010-ir-codegen.md new file mode 100644 index 000000000..3db4fe27f --- /dev/null +++ b/contrib/codegen-tools/codegen/adr/0010-ir-codegen.md @@ -0,0 +1,283 @@ +###Interpreter + +An interpreter takes a tensorflow or pytorch model and figure out how to map +various ops. Their attributes and op names are mapped to libnd4j +using information from the above op descriptor. + +An interpreter can take in an individual op from tensorflow, onnx or +another framework and translate it to an equivalent op in libnd4j represented +as the equivalent op descriptor. + +The usage is as follows: + + +## Op def files + +For each framework in tensorflow/onnx, we have inbuilt definition files +for each tensorflow and pytorch. + +For onnx, we have an onnx.pbtxt generated by the dl4j-dev tools submodule +onnx-defs. This definition file has each op serialized as an [onnx NodeProto](https://github.com/onnx/onnx/blob/25fd2c332cf854fd38a92aa8f60d232530ab0065/onnx/onnx-ml.proto#L193) +For tensorflow, we have an ops.proto pulled from tensorflow's official repo. + +We use these files to map operation attributes serialized by +nd4j's generated operation definition tool found in dl4j-dev-tools +to their equivalents in tensorflow and pytorch. + +An interpreter has 2 methods: + + +```java +Interpreter interpreter = ...; + +OpDescriptor descriptor = interpreter.interpretTensorflow(nodeFromOtherFramework); +OpDescriptor descriptor = interpreter.interpretOnnx(nodeFromOtherFramework); + +//proceed to use descriptor to map for model import... +``` + +##Interpreter file format + +An interpreter is language neutral. We have a mini syntax +for mapping attributes from one format to another. + +Through indexing every attribute and input/output in libnd4j, +we can maintain an index of operation names and attributes +with a mapping syntax. If we want to map a trivial operation like say: +Abs, let's compare tensorflow, onnx and the descriptor in nd4j. + +Tensorflow: +```prototext +op { + name: "Floor" + input_arg { + name: "x" + type_attr: "T" + } + output_arg { + name: "y" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_BFLOAT16 + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + } + } + } +} +``` + +Onnx: +```prototext +input: "X" +output: "Y" +name: "Floor" +op_type: "Floor" +attribute { + name: "X-types" + strings: "float" + strings: "float16" + strings: "double" + type: STRINGS +} +doc_string: "\nFloor takes one input data (Tensor) and produces one output data\n(Tensor) where the floor is, y = floor(x), is applied to\nthe tensor elementwise.\n" +``` + +The op descriptor for libnd4j is: +``` +OpDeclarationDescriptor(name=Floor, nIn=1, nOut=1, tArgs=0, iArgs=0, inplaceAble=true, inArgNames=[first], outArgNames=[z], tArgNames=[], iArgNames=[], bArgNames=[], opDeclarationType=OP_IMPL) +``` + +Floor is a fairly simple op with 1 input and 1 output. +Inputs and outputs are implicitly tensors. +This is true for both onnx and tensorflow. + +Tensorflow has an attribute defined for valid types. +The way we generated the onnx schema proto, we have something equivalent +that allows for a list of types presented as a string. + + +Mapping a descriptor happens based on attribute. +An example of abs below: + +```prototext +floor { + tensorflow_mapping: { + input_mappings: { + input_mapping { + first: "x" + } + + } + output_mappings: { + z: "y" + } + + attribute_mapping_functions: { + + } + + } + onnx_mapping { + input_mappings { + first: "X" + } + output_mappings { + z: "Y" + } + + attribute_mapping_functions { + + } + } +} +``` + +Now we can compare this to Convolution. +In tensorflow, the convolution op is represented as: +```prototext +op { + name: "Conv2D" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "filter" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_BFLOAT16 + type: DT_FLOAT + type: DT_DOUBLE + } + } + } + attr { + name: "strides" + type: "list(int)" + } + attr { + name: "use_cudnn_on_gpu" + type: "bool" + default_value { + b: true + } + } + attr { + name: "padding" + type: "string" + allowed_values { + list { + s: "SAME" + s: "VALID" + } + } + } + attr { + name: "data_format" + type: "string" + default_value { + s: "NHWC" + } + allowed_values { + list { + s: "NHWC" + s: "NCHW" + } + } + } + attr { + name: "dilations" + type: "list(int)" + default_value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +``` +In onnx, it's represented as: +```prototext +input: "X" +input: "W" +input: "B" +output: "Y" +name: "Conv" +op_type: "Conv" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "double" + strings: "float" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "double" + strings: "float" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "double" + strings: "float" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe convolution operator consumes an input tensor and a filter, and\ncomputes the output." +``` + + + + diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/Namespace.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/Namespace.java new file mode 100644 index 000000000..ae5c79972 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/Namespace.java @@ -0,0 +1,146 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen; + +import org.nd4j.codegen.api.NamespaceOps; +import org.nd4j.codegen.ops.*; + +public enum Namespace { + BITWISE, + NEURALNETWORK, + RANDOM, + IMAGE, + CNN, + RNN, + MATH, + BASE, + LOSS, + LINALG; + + + public static Namespace fromString(String in){ + switch (in.toLowerCase()){ + case "bitwise": + return BITWISE; + case "nn": + case "neuralnetwork": + return NEURALNETWORK; + case "random": + return RANDOM; + case "math": + return MATH; + case "image": + return IMAGE; + case "cnn": + return CNN; + case "rnn": + return RNN; + case "base": + return BASE; + case "loss": + return LOSS; + case "linalg": + return LINALG; + default: + return null; + } + } + + public String javaClassName(){ + switch (this){ + case BITWISE: + return "NDBitwise"; + case NEURALNETWORK: + return "NDNN"; + case RANDOM: + return "NDRandom"; + case IMAGE: + return "NDImage"; + case CNN: + return "NDCNN"; + case RNN: + return "NDRNN"; + case MATH: + return "NDMath"; + case BASE: + return "NDBase"; + case LOSS: + return "NDLoss"; + case LINALG: + return "NDLinalg"; + } + throw new IllegalStateException("No java class name defined for: " + this); + } + + public String javaSameDiffClassName(){ + switch (this){ + case BITWISE: + return "SDBitwise"; + case NEURALNETWORK: + return "SDNN"; + case RANDOM: + return "SDRandom"; + case IMAGE: + return "SDImage"; + case CNN: + return "SDCNN"; + case RNN: + return "SDRNN"; + case MATH: + return "SDMath"; + case BASE: + return "SDBaseOps"; + case LOSS: + return "SDLoss"; + /*case VALIDATION: + return "SDValidation";*/ + case LINALG: + return "SDLinalg"; + } + throw new IllegalStateException("No java SameDiff class name defined for: " + this); + } + + public NamespaceOps getNamespace(){ + switch (this){ + case BITWISE: + return BitwiseKt.Bitwise(); + case RANDOM: + return RandomKt.Random(); + case MATH: + return MathKt.Math(); + case IMAGE: + return ImageKt.SDImage(); + case CNN: + return CNNKt.SDCNN(); + case RNN: + return RNNKt.SDRNN(); + case NEURALNETWORK: + return NeuralNetworkKt.NN(); + case BASE: + return SDBaseOpsKt.SDBaseOps(); + case LOSS: + return SDLossKt.SDLoss(); + case LINALG: + return LinalgKt.Linalg(); + } + throw new IllegalStateException("No namespace definition available for: " + this); + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/cli/CLI.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/cli/CLI.java new file mode 100644 index 000000000..8d659cc7b --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/cli/CLI.java @@ -0,0 +1,182 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.cli; + +import com.beust.jcommander.*; +import lombok.extern.slf4j.Slf4j; +import org.apache.commons.lang3.StringUtils; +import org.nd4j.codegen.Namespace; +import org.nd4j.codegen.api.NamespaceOps; +import org.nd4j.codegen.impl.java.DocsGenerator; +import org.nd4j.codegen.impl.java.Nd4jNamespaceGenerator; + +import java.io.File; +import java.io.IOException; +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; + +/** + * Planned CLI for generating classes + */ +@Slf4j +public class CLI { + private static final String relativePath = "nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/"; + private static final String allProjects = "all"; + private static final String sdProject = "sd"; + private static final String ndProject = "nd4j"; + + public static class ProjectsValidator implements IParameterValidator { + + @Override + public void validate(String name, String value) throws ParameterException { + if (name.equals("-projects")) { + if (!(value.equals(allProjects) || value.equals(ndProject) || value.equals(sdProject))) { + throw new ParameterException("Wrong projects " + value + " passed! Must be one of [all, sd, nd4j]"); + } + } + } + } + + @Parameter(names = "-dir", description = "Root directory of deeplearning4j mono repo") + private String repoRootDir; + + @Parameter(names = "-docsdir", description = "Root directory for generated docs") + private String docsdir; + + @Parameter(names = "-namespaces", description = "List of namespaces to generate, or 'ALL' to generate all namespaces", required = true) + private List namespaces; + + @Parameter(names = "-projects", description = "List of sub-projects - ND4J, SameDiff or both", required = false, validateWith = ProjectsValidator.class) + private List projects = Collections.singletonList("all"); + + enum NS_PROJECT { + ND4J, + SAMEDIFF; + } + + private void generateNamespaces(NS_PROJECT project, File outputDir, String basePackage) throws IOException { + + List usedNamespaces = new ArrayList<>(); + + for(String s : namespaces) { + if ("all".equalsIgnoreCase(s)) { + Collections.addAll(usedNamespaces, Namespace.values()); + break; + } + Namespace ns = null; + if (project == NS_PROJECT.ND4J) { + ns = Namespace.fromString(s); + if (ns == null) { + log.error("Invalid/unknown ND4J namespace provided: " + s); + } + else { + usedNamespaces.add(ns); + } + } + else { + ns = Namespace.fromString(s); + if (ns == null) { + log.error("Invalid/unknown SD namespace provided: " + s); + } + else { + usedNamespaces.add(ns); + } + } + } + + int cnt = 0; + for (int i = 0; i < usedNamespaces.size(); ++i) { + Namespace ns = usedNamespaces.get(i); + log.info("Starting generation of namespace: {}", ns); + + String javaClassName = project == NS_PROJECT.ND4J ? ns.javaClassName() : ns.javaSameDiffClassName(); + NamespaceOps ops = ns.getNamespace(); + + String basePackagePath = basePackage.replace(".", "/") + "/ops/"; + + if (StringUtils.isNotEmpty(docsdir)) { + DocsGenerator.generateDocs(i, ops, docsdir, basePackage); + } + if (outputDir != null) { + File outputPath = new File(outputDir, basePackagePath + javaClassName + ".java"); + log.info("Output path: {}", outputPath.getAbsolutePath()); + + if (NS_PROJECT.ND4J == project) + Nd4jNamespaceGenerator.generate(ops, null, outputDir, javaClassName, basePackage, docsdir); + else + Nd4jNamespaceGenerator.generate(ops, null, outputDir, javaClassName, basePackage, + "org.nd4j.autodiff.samediff.ops.SDOps", docsdir); + } + ++cnt; + } + log.info("Complete - generated {} namespaces", cnt); + } + + + public static void main(String[] args) throws Exception { + new CLI().runMain(args); + } + + public void runMain(String[] args) throws Exception { + JCommander.newBuilder() + .addObject(this) + .build() + .parse(args); + + // Either root directory for source code generation or docs directory must be present. If root directory is + // absenbt - then it's "generate docs only" mode. + if (StringUtils.isEmpty(repoRootDir) && StringUtils.isEmpty(docsdir)) { + throw new IllegalStateException("Provide one or both of arguments : -dir, -docsdir"); + } + File outputDir = null; + if (StringUtils.isNotEmpty(repoRootDir)) { + //First: Check root directory. + File dir = new File(repoRootDir); + if (!dir.exists() || !dir.isDirectory()) { + throw new IllegalStateException("Provided root directory does not exist (or not a directory): " + dir.getAbsolutePath()); + } + + outputDir = new File(dir, relativePath); + if (!outputDir.exists() || !dir.isDirectory()) { + throw new IllegalStateException("Expected output directory does not exist: " + outputDir.getAbsolutePath()); + } + } + + if(namespaces == null || namespaces.isEmpty()){ + throw new IllegalStateException("No namespaces were provided"); + } + + try { + if (projects == null) + projects.add(allProjects); + boolean forAllProjects = projects.isEmpty() || projects.contains(allProjects); + if (forAllProjects || projects.contains(ndProject)) { + generateNamespaces(NS_PROJECT.ND4J, outputDir, "org.nd4j.linalg.factory"); + } + if (forAllProjects || projects.contains(sdProject)) { + generateNamespaces(NS_PROJECT.SAMEDIFF, outputDir, "org.nd4j.autodiff.samediff"); + } + } catch (Exception e) { + log.error(e.toString()); + } + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/cpp/CppGenerator.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/cpp/CppGenerator.java new file mode 100644 index 000000000..0ae3538b4 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/cpp/CppGenerator.java @@ -0,0 +1,155 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.cpp; + +import org.apache.commons.io.FileUtils; +import org.nd4j.codegen.api.*; +import org.nd4j.codegen.api.generator.Generator; +import org.nd4j.codegen.api.generator.GeneratorConfig; +import org.nd4j.codegen.util.GenUtil; + +import java.io.File; +import java.io.IOException; +import java.nio.charset.StandardCharsets; +import java.util.ArrayList; +import java.util.List; + +/** + * A very simple, manual CPP generator + * As per Python, this could be implemented using a templating library such as freemarker + */ +public class CppGenerator implements Generator { + @Override + public Language language() { + return Language.CPP; + } + + @Override + public void generateNamespaceNd4j(NamespaceOps namespace, GeneratorConfig config, File directory, String fileName) throws IOException { + + StringBuilder sb = new StringBuilder(); + + sb.append("#include \n\n") + .append("namespace nd4j {\n"); + + append(4, sb, "namespace " + namespace.getName().toLowerCase()); + + List ops = new ArrayList<>(); + for(Op o : namespace.getOps()){ + if(o.isAbstract()) + continue; + ops.add(o); + } + + //TODO: handle includes + + for(Op o : ops){ + String s = generateFunction(o); + sb.append(GenUtil.addIndent(s, 8)); + sb.append("\n"); + } + + append(4, sb, "}"); + sb.append("}"); + + //TODO generate header also + + String out = sb.toString(); + File outFile = new File(directory, GenUtil.ensureFirstIsCap(namespace.getName()) + ".cpp"); + FileUtils.writeStringToFile(outFile, out, StandardCharsets.UTF_8); + } + + protected static void append(int indent, StringBuilder sb, String line){ + sb.append(GenUtil.repeat(" ", indent)) + .append(line) + .append("\n"); + } + + protected static String generateFunction(Op op){ + StringBuilder sb = new StringBuilder(); + + List outputs = op.getOutputs(); + boolean singleOut = outputs.size() == 1; + if(singleOut){ + sb.append("NDArray* "); + } else { + throw new UnsupportedOperationException("Multi-output op generation not yet implemented"); + } + + sb.append(GenUtil.ensureFirstIsNotCap(op.getOpName())).append("("); + + //Add inputs to signature + boolean firstArg = true; + if(op.getInputs() != null){ + for(Input i : op.getInputs()){ + if(!firstArg) + sb.append(", "); + + sb.append("NDArray* ").append(i.getName()); + + firstArg = false; + } + } + + + //Add arguments and default args to signature + sb.append("):\n"); + + + sb.append(" Context c(1);\n"); + int j=0; + for(Input i : op.getInputs()){ + sb.append(" c.setInputArray(").append(j++).append(", ").append(i.getName()).append(");\n"); + } + + sb.append("\n //TODO: args\n\n"); + + + sb.append(" nd4j::ops::").append(op.getLibnd4jOpName()).append(" op;\n"); + + sb.append(" ShapeList shapeList({"); + j = 0; + for(Input i : op.getInputs()){ + if(j > 0) + sb.append(","); + sb.append(i.getName()); + j++; + } + + sb.append("});\n\n") + .append(" auto outShape = op.calculateOutputShape(&shapeList, c);\n"); + + sb.append(" auto out = nullptr; //TODO\n\n") + .append(" op.exec(c);\n") + .append(" delete shapes;\n"); + + sb.append(" return out;\n") + .append("}\n"); + + + return sb.toString(); + } + + @Override + public void generateNamespaceSameDiff(NamespaceOps namespace, GeneratorConfig config, File directory, String fileName) throws IOException { + throw new UnsupportedOperationException(); + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/DocsGenerator.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/DocsGenerator.java new file mode 100644 index 000000000..d90d20d49 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/DocsGenerator.java @@ -0,0 +1,301 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.java; + +import com.squareup.javapoet.MethodSpec; +import com.squareup.javapoet.TypeName; +import org.apache.commons.io.FileUtils; +import org.apache.commons.lang3.StringUtils; +import org.nd4j.codegen.api.*; +import org.nd4j.codegen.api.doc.DocSection; +import org.nd4j.codegen.api.doc.DocTokens; +import org.nd4j.codegen.util.GenUtil; + +import java.io.File; +import java.io.IOException; +import java.nio.charset.StandardCharsets; +import java.util.*; + +import static org.nd4j.codegen.impl.java.Nd4jNamespaceGenerator.exactlyOne; + +public class DocsGenerator { + + // Markdown marker for start-end of code section + private static final String MD_CODE = "```"; + // Javadoc constants which should be dropped or replaced for markdown generation + private static final String JD_CODE = "{@code "; + private static final String JD_CODE_END = "}"; + private static final String JD_INPUT_TYPE = "%INPUT_TYPE%"; + + public static class JavaDocToMDAdapter { + private String current; + + public JavaDocToMDAdapter(String original) { + this.current = original; + } + + public JavaDocToMDAdapter filter(String pattern, String replaceWith) { + String result = StringUtils.replace(current, pattern, replaceWith); + this.current = result; + return this; + } + + @Override + public String toString() { + return current; + } + } + + private static String generateMethodText(Op op, Signature s, boolean isSameDiff, boolean isLoss, boolean withName) { + StringBuilder sb = new StringBuilder(); + MethodSpec.Builder c = MethodSpec.methodBuilder(GenUtil.ensureFirstIsNotCap(op.getOpName())); + List params = s.getParameters(); + List outs = op.getOutputs(); + String retType = "void"; + + if (outs.size() == 1) { + retType = isSameDiff ? "SDVariable" : "INDArray"; + } + else if (outs.size() >= 1) { + retType = isSameDiff ? "SDVariable[]" : "INDArray[]"; + } + sb.append(retType).append(" ").append(op.getOpName()).append("("); + boolean first = true; + for (Parameter param : params) { + if (param instanceof Arg) { + Arg arg = (Arg) param; + if (!first) + sb.append(", "); + else if (withName) + sb.append("String name, "); + String className; + if(arg.getType() == DataType.ENUM) { + className = GenUtil.ensureFirstIsCap(arg.name()); + } else { + TypeName tu = Nd4jNamespaceGenerator.getArgType(arg); + className = tu.toString(); + } + if(className.contains(".")){ + className = className.substring(className.lastIndexOf('.')+1); + } + sb.append(className).append(" ").append(arg.name()); + first = false; + } + else if (param instanceof Input) { + Input arg = (Input) param; + if (!first) + sb.append(", "); + else if (withName) + sb.append("String name, "); + sb.append(isSameDiff ? "SDVariable " : "INDArray ").append(arg.name()); + first = false; + } else if(param instanceof Config){ + if(!first) + sb.append(", "); + Config conf = (Config)param; + String name = conf.getName(); + sb.append(name).append(" ").append(GenUtil.ensureFirstIsNotCap(name)); + } + } + sb.append(")"); + return sb.toString(); + } + + private static StringBuilder buildDocSectionText(List docSections) { + StringBuilder sb = new StringBuilder(); + for (DocSection ds : docSections) { + //if(ds.applies(Language.JAVA, CodeComponent.OP_CREATOR)){ + String text = ds.getText(); + String[] lines = text.split("\n"); + for (int i = 0; i < lines.length; i++) { + if (!lines[i].endsWith("
")) { + String filteredLine = new JavaDocToMDAdapter(lines[i]) + .filter(JD_CODE, "`") + .filter(JD_CODE_END, "`") + .filter(JD_INPUT_TYPE, "INDArray").toString(); + + lines[i] = filteredLine + System.lineSeparator(); + } + } + text = String.join("\n", lines); + sb.append(text).append(System.lineSeparator()); + //} + } + return sb; + } + + public static void generateDocs(int namespaceNum, NamespaceOps namespace, String docsDirectory, String basePackage) throws IOException { + File outputDirectory = new File(docsDirectory); + StringBuilder sb = new StringBuilder(); + String headerName = namespace.getName(); + if(headerName.startsWith("SD")) + headerName = headerName.substring(2); + + // File Header for Gitbook + sb.append("---").append(System.lineSeparator()); + sb.append("title: ").append(headerName).append(System.lineSeparator()); + sb.append("short_title: ").append(headerName).append(System.lineSeparator()); + sb.append("description: ").append(System.lineSeparator()); + sb.append("category: Operations").append(System.lineSeparator()); + sb.append("weight: ").append(namespaceNum * 10).append(System.lineSeparator()); + sb.append("---").append(System.lineSeparator()); + + List ops = namespace.getOps(); + + ops.sort(Comparator.comparing(Op::getOpName)); + + if (ops.size() > 0) + sb.append("# Operation classes").append(System.lineSeparator()); + for (Op op : ops) { + sb.append("## ").append(op.getOpName()).append(System.lineSeparator()); + List doc = op.getDoc(); + if(!doc.isEmpty()) { + boolean first = true; + StringBuilder ndSignatures = new StringBuilder(); + StringBuilder sdSignatures = new StringBuilder(); + StringBuilder sdNameSignatures = new StringBuilder(); + for(Signature s : op.getSignatures()) { + if (first) { + Language lang = doc.get(0).getLanguage(); + sb.append(MD_CODE).append(lang.equals(Language.ANY) ? Language.JAVA : lang).append(System.lineSeparator()); + first = false; + } + String ndCode = generateMethodText(op, s, false, false, false); + ndSignatures.append(ndCode).append(System.lineSeparator()); + String sdCode = generateMethodText(op, s, true, false, false); + sdSignatures.append(sdCode).append(System.lineSeparator()); + String withNameCode = generateMethodText(op, s, true, false, true); + sdNameSignatures.append(withNameCode).append(System.lineSeparator()); + } + sb.append(ndSignatures.toString()); + sb.append(System.lineSeparator()); // New line between INDArray and SDVariable signatures + + sb.append(sdSignatures.toString()); + sb.append(sdNameSignatures.toString()); + + sb.append(MD_CODE).append(System.lineSeparator()); + StringBuilder tsb = buildDocSectionText(doc); + sb.append(tsb.toString()); + List l = op.getSignatures(); + Set alreadySeen = new HashSet<>(); + for(Signature s : l) { + List params = s.getParameters(); + for (Parameter p : params) { + if(alreadySeen.contains(p)) continue; + alreadySeen.add(p); + if(p instanceof Input){ + Input i = (Input)p; + sb.append("* **").append(i.getName()).append("** ").append(" (").append(i.getType()).append(") - ").append(i.getDescription() == null ? "" : DocTokens.processDocText(i.getDescription(), + op, DocTokens.GenerationType.ND4J)).append(System.lineSeparator()); + } + else if (p instanceof Config) { + Config c = (Config)p; + sb.append("* **").append(c.getName()).append("** - see ").append("[").append(c.getName()).append("]").append("(#").append(toAnchor(c.getName())).append(")").append(System.lineSeparator()); + } + else if(p instanceof Arg) { + Arg arg = (Arg) p; + final Count count = arg.getCount(); + if (count == null || count.equals(exactlyOne)) { + sb.append("* **").append(arg.getName()).append("** - ").append(arg.getDescription() == null ? "" : DocTokens.processDocText(arg.getDescription(), + op, DocTokens.GenerationType.ND4J)); //.append(System.lineSeparator()); + } else { + sb.append("* **").append(arg.getName()).append("** - ").append(arg.getDescription() == null ? "" : DocTokens.processDocText(arg.getDescription(), + op, DocTokens.GenerationType.ND4J)).append(" (Size: ").append(count.toString()).append(")"); //.append(System.lineSeparator()); + } + + Object defaultValue = arg.defaultValue(); + if(defaultValue != null){ + sb.append(" - default = ").append(formatDefaultValue(defaultValue)); + } + + sb.append(System.lineSeparator()); + } + } + } + sb.append(System.lineSeparator()); + } + } + + + if (namespace.getConfigs().size() > 0) + sb.append("# Configuration Classes").append(System.lineSeparator()); + for (Config config : namespace.getConfigs()) { + sb.append("## ").append(config.getName()).append(System.lineSeparator()); + for (Input i : config.getInputs()) { + sb.append("* **").append(i.getName()).append("**- ").append(i.getDescription()).append(" (").append(i.getType()).append(" type)"); + if (i.hasDefaultValue() && (i.defaultValue() != null)) + sb.append(" Default value:").append(formatDefaultValue(i.defaultValue())).append(System.lineSeparator()); + else + sb.append(System.lineSeparator()); + } + for (Arg arg : config.getArgs()) { + sb.append("* **").append(arg.getName()).append("** ").append("(").append(arg.getType()).append(") - ").append(arg.getDescription()); + if (arg.hasDefaultValue() && (arg.defaultValue() != null)) + sb.append(" - default = ").append(formatDefaultValue(arg.defaultValue())).append(System.lineSeparator()); + else + sb.append(System.lineSeparator()); + } + StringBuilder tsb = buildDocSectionText(config.getDoc()); + sb.append(tsb.toString()); + sb.append(System.lineSeparator()); + for (Op op : ops) { + if (op.getConfigs().contains(config)) { + sb.append("Used in these ops: " + System.lineSeparator()); + break; + } + } + ops.stream().filter(op -> op.getConfigs().contains(config)).forEach(op -> + sb.append("[").append(op.getOpName()).append("]").append("(#").append(toAnchor(op.getOpName())).append(")"). + append(System.lineSeparator())); + + } + File outFile = new File(outputDirectory + "/operation-namespaces", "/" + namespace.getName().toLowerCase() + ".md"); + FileUtils.writeStringToFile(outFile, sb.toString(), StandardCharsets.UTF_8); + } + + private static String formatDefaultValue(Object v){ + if(v == null){ return "null"; } + else if(v instanceof int[]){ return Arrays.toString((int[]) v); } + else if(v instanceof long[]){ return Arrays.toString((long[]) v); } + else if(v instanceof float[]){ return Arrays.toString((float[]) v); } + else if(v instanceof double[]){ return Arrays.toString((double[]) v); } + else if(v instanceof boolean[]){ return Arrays.toString((boolean[]) v); } + else if(v instanceof Input){ return ((Input)v).getName(); } + else if(v instanceof org.nd4j.linalg.api.buffer.DataType){ return "DataType." + v; } + else if(v instanceof LossReduce || v instanceof org.nd4j.autodiff.loss.LossReduce){ return "LossReduce." + v; } + else return v.toString(); + } + + private static String toAnchor(String name){ + int[] codepoints = name.toLowerCase().codePoints().toArray(); + int type = Character.getType(codepoints[0]); + StringBuilder anchor = new StringBuilder(new String(Character.toChars(codepoints[0]))); + for (int i = 1; i < codepoints.length; i++) { + int curType = Character.getType(codepoints[i]); + if(curType != type){ + anchor.append("-"); + } + type = curType; + anchor.append(new String(Character.toChars(codepoints[i]))); + } + return anchor.toString(); + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/JavaPoetGenerator.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/JavaPoetGenerator.java new file mode 100644 index 000000000..7f445ed4b --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/JavaPoetGenerator.java @@ -0,0 +1,52 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.java; + +import org.apache.commons.lang3.StringUtils; +import org.nd4j.codegen.api.Language; +import org.nd4j.codegen.api.Namespace; +import org.nd4j.codegen.api.NamespaceOps; +import org.nd4j.codegen.api.Op; +import org.nd4j.codegen.api.generator.Generator; +import org.nd4j.codegen.api.generator.GeneratorConfig; + +import java.io.File; +import java.io.IOException; + +public class JavaPoetGenerator implements Generator { + + + @Override + public Language language() { + return Language.JAVA; + } + + @Override + public void generateNamespaceNd4j(NamespaceOps namespace, GeneratorConfig config, File directory, String className) throws IOException { + Nd4jNamespaceGenerator.generate(namespace, config, directory, className, "org.nd4j.linalg.factory", StringUtils.EMPTY); + } + + @Override + public void generateNamespaceSameDiff(NamespaceOps namespace, GeneratorConfig config, File directory, String className) throws IOException { + //throw new UnsupportedOperationException("Not yet implemented"); + Nd4jNamespaceGenerator.generate(namespace, config, directory, className, "org.nd4j.autodiff.samediff", StringUtils.EMPTY); + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/Nd4jNamespaceGenerator.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/Nd4jNamespaceGenerator.java new file mode 100644 index 000000000..cf3ae44e9 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/java/Nd4jNamespaceGenerator.java @@ -0,0 +1,984 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.java; + +import com.squareup.javapoet.*; +import lombok.extern.slf4j.Slf4j; +import org.apache.commons.io.FileUtils; +import org.apache.commons.lang3.StringUtils; +import org.jetbrains.annotations.NotNull; +import org.nd4j.autodiff.samediff.SDVariable; +import org.nd4j.autodiff.samediff.SameDiff; +import org.nd4j.autodiff.samediff.ops.SDOps; +import org.nd4j.autodiff.samediff.ops.SDValidation; +import org.nd4j.codegen.api.*; +import org.nd4j.codegen.api.doc.DocSection; +import org.nd4j.codegen.api.doc.DocTokens; +import org.nd4j.codegen.api.generator.ConstraintCodeGenerator; +import org.nd4j.codegen.api.generator.GeneratorConfig; +import org.nd4j.codegen.util.GenUtil; +import org.nd4j.common.base.Preconditions; +import org.nd4j.linalg.api.ndarray.INDArray; +import org.nd4j.linalg.factory.NDValidation; +import org.nd4j.linalg.factory.Nd4j; +import org.nd4j.linalg.indexing.conditions.Condition; + +import javax.lang.model.element.Modifier; +import java.io.File; +import java.io.IOException; +import java.nio.charset.StandardCharsets; + +import java.util.*; +import java.util.stream.Collectors; + +@Slf4j +public class Nd4jNamespaceGenerator { + private static Map> typeMapping = new HashMap<>(); + private static Map validationMapping = new HashMap<>(); + private static Map enumMapping = new HashMap<>(); + private static Map configMapping = new HashMap<>(); + public static Count exactlyOne = new Exactly(1); + private static String copyright = + "/*******************************************************************************\n" + + " * Copyright (c) 2019-2020 Konduit K.K.\n" + + " *\n" + + " * This program and the accompanying materials are made available under the\n" + + " * terms of the Apache License, Version 2.0 which is available at\n" + + " * https://www.apache.org/licenses/LICENSE-2.0.\n" + + " *\n" + + " * Unless required by applicable law or agreed to in writing, software\n" + + " * distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n" + + " * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n" + + " * License for the specific language governing permissions and limitations\n" + + " * under the License.\n" + + " *\n" + + " * SPDX-License-Identifier: Apache-2.0\n" + + " ******************************************************************************/\n"; + private static String codeGenWarning = + "\n//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================\n\n"; + + static { + typeMapping.put(DataType.BOOL, boolean.class); + typeMapping.put(DataType.FLOATING_POINT, double.class); + typeMapping.put(DataType.NUMERIC, double.class); + typeMapping.put(DataType.INT, int.class); + typeMapping.put(DataType.LONG, long.class); + typeMapping.put(DataType.DATA_TYPE, org.nd4j.linalg.api.buffer.DataType.class); + typeMapping.put(DataType.LOSS_REDUCE, org.nd4j.autodiff.loss.LossReduce.class); + typeMapping.put(DataType.CONDITION, Condition.class); + + validationMapping.put(DataType.BOOL, "validateBool"); + validationMapping.put(DataType.FLOATING_POINT, "validateFloatingPoint"); + validationMapping.put(DataType.NUMERIC, "validateNumerical"); + validationMapping.put(DataType.INT, "validateInteger"); + validationMapping.put(DataType.LONG, "validateInteger"); + } + + private static ConstraintCodeGenerator constraintCodeGenerator = new JavaConstraintCodeGenerator(); + + private Nd4jNamespaceGenerator() { } + + public static void generate(NamespaceOps namespace, GeneratorConfig config, File outputDirectory, String className, + String basePackage, String docsDirectory) throws IOException { + //String basePackage = "org.nd4j.linalg.factory"; + + generateEnums(outputDirectory, basePackage); + generateConfigs(outputDirectory, basePackage); + try { + generateOpFactory(namespace, outputDirectory, className, basePackage, StringUtils.EMPTY); + } + catch (Exception e) { + log.error(e.toString()); + } + } + + public static void generate(NamespaceOps namespace, GeneratorConfig config, File outputDirectory, String className, + String basePackage, String parentClass, String docsDirectory) throws IOException { + //String basePackage = "org.nd4j.linalg.factory"; + + generateEnums(outputDirectory, basePackage); + generateConfigs(outputDirectory, basePackage); + try { + generateOpFactory(namespace, outputDirectory, className, basePackage, parentClass); + } + catch (Exception e) { + log.error(e.toString()); + } + } + + private static void generateOpFactory(NamespaceOps namespace, File outputDirectory, String className, String basePackage, + String parentClass) throws IOException, ClassNotFoundException { + boolean isBaseSameDiff = StringUtils.equals("SDBaseOps", className); + boolean isSameDiff = StringUtils.isNotEmpty(parentClass); + boolean isLoss = StringUtils.equals("SDLoss", className); + + TypeSpec.Builder builder = !isSameDiff || isBaseSameDiff ? + TypeSpec.classBuilder(className) + .addModifiers(Modifier.PUBLIC) : + + TypeSpec.classBuilder(className) + .superclass(Class.forName(parentClass)) + .addModifiers(Modifier.PUBLIC); + + if (isSameDiff && !isBaseSameDiff) { + addSameDiffConstructor(builder); + } + else if (isBaseSameDiff) { + builder.addField(TypeName.get(SameDiff.class), "sd", Modifier.PROTECTED); + addBaseSameDiffConstructor(builder); + } + else + addDefaultConstructor(builder); + + //Add ops + namespace.getOps() + .stream() + .filter(it -> !it.isAbstract()) + .sorted(Comparator.comparing(Op::getOpName)) + .forEachOrdered(o -> generateMethods(builder, o, isSameDiff, isLoss)); + + + TypeSpec ts = builder.build(); + + final String opsPackage = basePackage + ".ops"; + JavaFile jf = StringUtils.isEmpty(parentClass) ? + + JavaFile.builder(opsPackage, ts) + .addStaticImport(NDValidation.class, "isSameType") + .build() : + + JavaFile.builder(opsPackage, ts) + .addStaticImport(SDValidation.class, "isSameType") + .build(); + + StringBuilder sb = new StringBuilder(); + sb.append(copyright); + sb.append(codeGenWarning); + jf.writeTo(sb); + + File outFile = new File(outputDirectory, packageToDirectory(opsPackage) + "/" + className + ".java"); + FileUtils.writeStringToFile(outFile, sb.toString(), StandardCharsets.UTF_8); + } + + private static String packageToDirectory(String packageName){ + return packageName.replace(".", File.separator); + } + + private static void addDefaultConstructor(TypeSpec.Builder builder) { + //Add private no-arg constructor + MethodSpec noArg = MethodSpec.constructorBuilder() + .addModifiers(Modifier.PUBLIC) + .build(); + + builder.addMethod(noArg); + } + + private static void addBaseSameDiffConstructor(TypeSpec.Builder builder) { + + MethodSpec ctor = MethodSpec.constructorBuilder() + .addModifiers(Modifier.PUBLIC) + .addParameter(SameDiff.class, "sameDiff") + .addStatement("this.sd = sameDiff") + .build(); + + builder.addMethod(ctor); + } + + private static void addSameDiffConstructor(TypeSpec.Builder builder) { + MethodSpec ctor = MethodSpec.constructorBuilder() + .addModifiers(Modifier.PUBLIC) + .addParameter(SameDiff.class, "sameDiff") + .addStatement("super(sameDiff)") + .build(); + + builder.addMethod(ctor); + } + + private static void generateMethods(TypeSpec.Builder builder, Op op, boolean isSameDiff, boolean isLoss ){ + List l = op.getSignatures(); + for(Signature s : l){ + builder.addMethod(signatureCreatorMethod(op, s, isSameDiff, false, isLoss)); + if (isSameDiff) + builder.addMethod(signatureCreatorMethod(op, s, true, true, isLoss)); + } + } + + private static MethodSpec signatureCreatorMethod(Op op, Signature s, boolean isSameDiff, boolean withName, + boolean isLoss){ + MethodSpec.Builder c = MethodSpec.methodBuilder(GenUtil.ensureFirstIsNotCap(op.getOpName())) + .addModifiers(Modifier.PUBLIC); + enableVarargsOnLastArg(c, op, s); + + buildJavaDoc(op, s, c, withName); + List inNames = buildParameters(c, op, s, isSameDiff, withName); + buildConstraints(c, op.getConstraints()); + buildExecution(c, op, inNames, isSameDiff, withName, isLoss); + + return c.build(); + } + + private static void buildJavaDoc(Op op, Signature s, MethodSpec.Builder c, boolean withName) { + //Method javadoc: + List doc = op.getDoc(); + if(!doc.isEmpty()){ + for(DocSection ds : doc){ + if(ds.applies(Language.JAVA, CodeComponent.OP_CREATOR)){ + String text = DocTokens.processDocText(ds.getText(), op, DocTokens.GenerationType.ND4J); + //Add
tags at the end of each line, where none already exists + String[] lines = text.split("\n"); + for( int i=0; i")){ + lines[i] = lines[i] + "
"; + } + } + text = String.join("\n", lines); + c.addJavadoc(text + "\n\n"); + } + } + } + + + // Document Constraints: + //TODO what if constraint is on default value arg/s - no point specifying them here... + final List constraints = op.getConstraints(); + if(!constraints.isEmpty()){ + c.addJavadoc("Inputs must satisfy the following constraints:
\n"); + for (Constraint constraint : constraints) { + c.addJavadoc(constraint.getMessage() +": " + constraintCodeGenerator.generateExpression(constraint.getCheck()) + "
\n"); + } + + c.addJavadoc("\n"); + } + if (withName) { + if (op.getOutputs().size() == 1 && !op.getOutputs().get(0).getMultiOutput()) + c.addJavadoc("@param name name May be null. Name for the output variable\n"); + else + c.addJavadoc("@param names names May be null. Arrays of names for the output variables.\n"); + } + List params = s.getParameters(); + if(!params.isEmpty()){ + for(Parameter p : params){ + if(p instanceof Input){ + Input i = (Input)p; + c.addJavadoc("@param " + i.getName() + " " + (i.getDescription() == null ? "" : DocTokens.processDocText(i.getDescription(), op, DocTokens.GenerationType.ND4J)) + " (" + i.getType() + " type)\n"); + } else if(p instanceof Arg) { + Arg arg = (Arg) p; + final Count count = arg.getCount(); + if (count == null || count.equals(exactlyOne)) { + c.addJavadoc("@param " + arg.getName() + " " + (arg.getDescription() == null ? "" : DocTokens.processDocText(arg.getDescription(), op, DocTokens.GenerationType.ND4J)) + "\n"); + } else { + c.addJavadoc("@param " + arg.getName() + " " + (arg.getDescription() == null ? "" : DocTokens.processDocText(arg.getDescription(), op, DocTokens.GenerationType.ND4J)) + " (Size: " + count.toString() + ")\n"); + } + } else if(p instanceof Config){ + Config config = (Config) p; + c.addJavadoc("@param " + config.getName() + " Configuration Object\n"); + } else { + throw new RuntimeException("Unknown parameter type: " + p + " - " + p.getClass() + " - op = " + op.getOpName()); + } + } + + + } + + //Outputs: + List outputs = op.getOutputs(); + if(!outputs.isEmpty()){ + if(outputs.size() == 1 && !outputs.get(0).getMultiOutput()){ + Output o = outputs.get(0); + c.addJavadoc("@return " + o.getName() + " " + (o.getDescription() == null ? "" : DocTokens.processDocText(o.getDescription(), op, DocTokens.GenerationType.ND4J)) + " (" + o.getType() + " type)\n"); + } else { + //throw new UnsupportedOperationException("Javadoc for multi-output ops not yet implemented"); + log.error("Javadoc for multi-output ops not yet implemented"); + } + } + } + + private static List buildParameters(MethodSpec.Builder c, Op op, Signature s, boolean isSameDiff, boolean withName) { + List inNames = new ArrayList<>(); + + List params = s.getParameters(); + + if(op.getArgsFirst()){ + //Assuming sort is stable (doesn't change order of equal elements) + params.sort((p1,p2) -> Boolean.compare(p1 instanceof Input, p2 instanceof Input)); + } + + if (withName) { + if (op.getOutputs().size() == 1 && !op.getOutputs().get(0).getMultiOutput()) + c.addParameter(String.class, "name"); + else + c.addParameter(String[].class, "names"); + } + if(!params.isEmpty()){ + int pCount = 0; + for(Parameter p : params){ + pCount++; + boolean isLast = pCount == params.size(); + if(p instanceof Input){ + Input i = (Input)p; + final String inputName = i.getName(); + inNames.add(inputName); + + final Count count = i.getCount(); + if(count == null || count.equals(exactlyOne)) { + //Single input + if (isSameDiff) + c.addParameter(SDVariable.class, inputName); + else + c.addParameter(INDArray.class, inputName); + } else { + //Array input + if (isSameDiff) + c.addParameter(SDVariable[].class, inputName).varargs(isLast); + else + c.addParameter(INDArray[].class, inputName).varargs(isLast); + } + // Check for parameter types + final DataType paramType = i.getType(); + String validationName = validationMapping.get(paramType); + if(validationName != null) { + c.addStatement(CodeBlock.of("$T.$L($S, $S, $L)", isSameDiff ? SDValidation.class : NDValidation.class, validationName, op.getOpName(), inputName, inputName)); + } + checkParameterCount(c, count, inputName); + } else if(p instanceof Arg){ + Arg arg = (Arg)p; + final String argName = arg.getName(); + if(argName.isEmpty()){ + throw new IllegalStateException("Got null argument name for op " + op.getOpName()); + } + inNames.add(argName); + + + final Count count = arg.getCount(); + TypeName type = getArgType(arg); + if(type == null){ + throw new IllegalStateException("No type mapping has been specified for type " + arg.getType() + " (op=" + op.getOpName() + ", arg=" + arg.getName() + ")" ); + } + c.addParameter(type, argName); + + checkParameterCount(c, count, argName); + } else if(p instanceof Config) { + Config config = (Config) p; + final String configName = config.getName(); + inNames.add(configName); + c.addParameter(configMapping.get(config), config.name()); + } else { + throw new IllegalStateException("Unknown parameter type: " + p + " - " + p.getClass()); + } + + } + } + + return inNames; + } + + public static TypeName getArgType(Arg arg) { + DataType argType = arg.getType(); + Count count = arg.getCount(); + TypeName type; + if(argType == DataType.ENUM){ + type = enumMapping.get(arg); + if(type == null){ + throw new IllegalStateException(arg + " is using an unregistered ENUM. This is probably a bug."); + } + }else{ + if(!typeMapping.containsKey(argType)){ + return null; + } + type = TypeName.get(typeMapping.get(argType)); + } + + if (!(count == null || count.equals(exactlyOne))) { + // array Arg + type = ArrayTypeName.of(type); + } + return type; + } + + private static void buildConstraints(MethodSpec.Builder c, List constraints) { + if(constraints.isEmpty()) + return; + + //TODO not all contsraints apply to all signatures? + + // Don't materialize the Backend Constraints + for (Constraint constraint : constraints.stream().filter(it -> !(it instanceof BackendConstraint)).collect(Collectors.toList())) { + c.addStatement(CodeBlock.of("$T.checkArgument($L, $S)", Preconditions.class, constraintCodeGenerator.generateExpression(constraint.getCheck()), constraint.getMessage())); + } + } + + private static void buildExecution(MethodSpec.Builder c, Op op, List inNames, boolean isSameDiff, + boolean withName, boolean isLoss) { + boolean singleOut = op.getOutputs().size() == 1 && !op.getOutputs().get(0).getMultiOutput(); + if(singleOut){ + if (isSameDiff) + c.returns(SDVariable.class); + else + c.returns(INDArray.class); + } else { + if (isSameDiff) + c.returns(SDVariable[].class); + else + c.returns(INDArray[].class); + } + + // We have to pass all parameters, always. But not all signatures will be taking all parameters. + // inNames tells us which parameters this signatures has. For all others we want to pass default values + List parameters = op.allParameters().stream().sorted( + (p1,p2) -> { + if (p1.isVararg()) return 1; + else if (p2.isVararg()) return -1; + return 0; + } + ).map(it -> { + if(inNames.contains(it.name())){ + return it.name(); + }else{ + if(!it.hasDefaultValue()) throw new IllegalStateException("The parameter "+it.name()+" has no default value, but is also not part of "+inNames.toString()); + return anyToCode(it, it.defaultValue()); + } + }).collect(Collectors.toList()); + + //Op execution: + StringBuilder sb = new StringBuilder(); + if (isSameDiff) { + if (withName) { + if (singleOut) + sb.append("SDVariable out = "); + else + sb.append("SDVariable[] out = "); + + sb.append(" new ") + .append(op.getJavaPackage()) + .append(".") + .append(op.getJavaOpClass() == null ? GenUtil.ensureFirstIsCap(op.getOpName()) : op.getJavaOpClass()) + .append("(sd,") + .append(String.join(", ", parameters)) + .append(")"); + + if (singleOut) + sb.append(".outputVariable()"); + else + sb.append(".outputVariables()"); + + c.addStatement(sb.toString()); + if (isLoss) + c.addStatement("out.markAsLoss()"); + + if (singleOut) + c.addStatement("return sd.updateVariableNameAndReference(out, name)"); + else + c.addStatement("return sd.updateVariableNamesAndReferences(out, names)"); + } + else { + if (isLoss) { + sb.append("SDVariable out = new ") + .append(op.getJavaPackage()) + .append(".") + .append(op.getJavaOpClass() == null ? GenUtil.ensureFirstIsCap(op.getOpName()) : op.getJavaOpClass()) + .append("(sd,") + .append(String.join(", ", parameters)) + .append(")"); + } + else { + sb.append("return new ") + .append(op.getJavaPackage()) + .append(".") + .append(op.getJavaOpClass() == null ? GenUtil.ensureFirstIsCap(op.getOpName()) : op.getJavaOpClass()) + .append("(sd,") + .append(String.join(", ", parameters)) + .append(")"); + } + //if (!op.getLegacy()) { + if (singleOut) + sb.append(".outputVariable()"); + else + sb.append(".outputVariables()"); + //} + c.addStatement(sb.toString()); + if (isLoss) { + c.addStatement("out.markAsLoss()"); + c.addStatement("return out"); + } + } + } + else{ + sb.append("return $T.exec(new ") + .append(op.getJavaPackage()) + .append(".") + .append(op.getJavaOpClass() == null ? GenUtil.ensureFirstIsCap(op.getOpName()) : op.getJavaOpClass()) + .append("(") + .append(String.join(", ", parameters)) + .append("))"); + if (!op.getLegacy() && singleOut) //Note: legacy ops Nd4j.exec(Op) returns INDArray; Nd4j.exec(CustomOp) returns INDArray[] + sb.append("[0]"); + + c.addStatement(sb.toString(), Nd4j.class); + } + } + + private static void enableVarargsOnLastArg(MethodSpec.Builder c, Op op, Signature s) { + List p = s.getParameters(); + if(!p.isEmpty()){ + Parameter lastP = p.get(p.size() - 1); + if (lastP instanceof Arg) { + Arg arg = (Arg) lastP; + final Count count = arg.getCount(); + if (count != null && !count.equals(exactlyOne)) { + c.varargs(true); + } + } + } + } + + private static String countToJava(Count count,String paramName) { + final String paramLength = paramName + ".length"; + if(count instanceof Exactly){ + return paramLength + " == " + ((Exactly) count).getCount(); + }else if(count instanceof AtLeast){ + return paramLength + " >= " + ((AtLeast) count).getMin(); + }else if(count instanceof AtMost){ + return paramLength + " <= "+ ((AtMost) count).getMax(); + }else if(count instanceof Range){ + return ((Range) count).getFrom() + " <= " + paramLength + " && " + paramLength + " <= " + ((Range) count).getTo(); + }else{ + throw new IllegalArgumentException("Can not deal with Count of type " + count.getClass().getName()); + } + } + + private static void checkParameterCount(MethodSpec.Builder c, Count count, String paramName) { + // Check for parameter counts + if(count != null && !count.equals(exactlyOne)){ + final String errorMessage = paramName + " has incorrect size/length. Expected: " + countToJava(count, paramName) + ", got %s"; + if(count instanceof Exactly){ + c.addStatement(CodeBlock.of("$T.checkArgument($L.length == $L, $S, $L)", Preconditions.class, paramName, ((Exactly) count).getCount(), errorMessage, paramName + ".length")); + }else if(count instanceof AtLeast){ + c.addStatement(CodeBlock.of("$T.checkArgument($L.length >= $L, $S, $L)", Preconditions.class, paramName, ((AtLeast) count).getMin(), errorMessage, paramName + ".length")); + }else if(count instanceof AtMost){ + c.addStatement(CodeBlock.of("$T.checkArgument($L.length <= $L, $S, $L)", Preconditions.class, paramName, ((AtMost) count).getMax(), errorMessage, paramName + ".length")); + }else if(count instanceof Range){ + c.addStatement(CodeBlock.of("$T.checkArgument($L.length >= $L && $L.length <= $L, $S, $L)", Preconditions.class, paramName, ((Range) count).getFrom(), paramName, ((Range) count).getTo(), errorMessage, paramName + ".length")); + } + } + } + + private static void generateEnums(File outputDirectory, String basePackage) throws IOException { + for (Arg it : Registry.INSTANCE.enums()) { + generateEnum(outputDirectory, "org.nd4j.enums", it); + } + } + + private static String generateMethodText(Op op, Signature s, boolean isSameDiff, boolean isLoss, boolean withName) { + StringBuilder sb = new StringBuilder(); + MethodSpec.Builder c = MethodSpec.methodBuilder(GenUtil.ensureFirstIsNotCap(op.getOpName())); + List params = s.getParameters(); + List outs = op.getOutputs(); + String retType = "void"; + + if (outs.size() == 1) { + retType = isSameDiff ? "SDVariable" : "INDArray"; + } + else if (outs.size() >= 1) { + retType = isSameDiff ? "SDVariable[]" : "INDArray[]"; + } + sb.append(retType + " " + op.getOpName() + "("); + boolean first = true; + for (Parameter param : params) { + if (param instanceof Arg) { + Arg arg = (Arg) param; + if (!first) + sb.append(","); + else if (withName) + sb.append("String name,"); + TypeName tu = getArgType(arg); + sb.append(tu.toString() + " " + arg.name()); + first = false; + } + else if (param instanceof Input) { + Input arg = (Input) param; + if (!first) + sb.append(","); + else if (withName) + sb.append("String name,"); + sb.append((isSameDiff ? "SDVariable " : "INDArray ") + arg.name()); + first = false; + } + } + sb.append(")"); + return sb.toString(); + } + + private static StringBuilder buildDocSectionText(List docSections) { + StringBuilder sb = new StringBuilder(); + for (DocSection ds : docSections) { + //if(ds.applies(Language.JAVA, CodeComponent.OP_CREATOR)){ + String text = ds.getText(); + String[] lines = text.split("\n"); + for (int i = 0; i < lines.length; i++) { + if (!lines[i].endsWith("
")) { + lines[i] = lines[i] + System.lineSeparator(); + } + } + text = String.join("\n", lines); + sb.append(text + System.lineSeparator()); + //} + } + return sb; + } + + private static void generateDocs(NamespaceOps namespace, File outputDirectory, String basePackage) throws IOException { + StringBuilder sb = new StringBuilder(); + sb.append("# Namespace " + namespace.getName() + System.lineSeparator()); + List ops = namespace.getOps(); + for (Op op : ops) { + sb.append("## ").append(op.name()).append("").append(System.lineSeparator()); + List doc = op.getDoc(); + if(!doc.isEmpty()) { + boolean first = true; + for(Signature s : op.getSignatures()) { + if (first) { + sb.append("````" + doc.get(0).getLanguage() + System.lineSeparator()); + first = false; + } + String ndCode = generateMethodText(op, s, false, false, false); + sb.append(ndCode).append(System.lineSeparator()); + String sdCode = generateMethodText(op, s, true, false, false); + sb.append(sdCode).append(System.lineSeparator()); + String withNameCode = generateMethodText(op, s, true, false, true); + sb.append(withNameCode).append(System.lineSeparator()); + } + sb.append("````").append(System.lineSeparator()); + StringBuilder tsb = buildDocSectionText(doc); + sb.append(tsb.toString()); + List l = op.getSignatures(); + for(Signature s : l) { + List params = s.getParameters(); + for (Parameter p : params) { + if(p instanceof Input){ + Input i = (Input)p; + sb.append("* " + i.getName() + " " + (i.getDescription() == null ? "" : DocTokens.processDocText(i.getDescription(), + op, DocTokens.GenerationType.ND4J)) + " (" + i.getType() + " type)" + System.lineSeparator()); + } else if(p instanceof Arg) { + Arg arg = (Arg) p; + final Count count = arg.getCount(); + if (count == null || count.equals(exactlyOne)) { + sb.append("* " + arg.getName() + " " + (arg.getDescription() == null ? "" : DocTokens.processDocText(arg.getDescription(), + op, DocTokens.GenerationType.ND4J)) + System.lineSeparator()); + } else { + sb.append("* " + arg.getName() + " " + (arg.getDescription() == null ? "" : DocTokens.processDocText(arg.getDescription(), + op, DocTokens.GenerationType.ND4J)) + " (Size: " + count.toString() + System.lineSeparator()); + } + } + } + } + sb.append(System.lineSeparator()); + tsb = buildDocSectionText(doc); + sb.append(tsb.toString()); + } + } + + for (Config config : Registry.INSTANCE.configs()) { + sb.append("## " + config.getName() + System.lineSeparator()); + boolean first = true; + for (Input i : config.getInputs()) { + if (first) { + sb.append("````" + System.lineSeparator()); + first = false; + } + sb.append("* " + i.getName() + " " + i.getDescription() + " (" + i.getType() + " type)" + System.lineSeparator()); + } + for (Arg arg : config.getArgs()) { + if (first) { + sb.append("````" + System.lineSeparator()); + first = false; + } + sb.append("* " + arg.getName() + " " + " (" + arg.getType() + " type)" + System.lineSeparator()); + } + StringBuilder tsb = buildDocSectionText(config.getDoc()); + sb.append(tsb.toString()); + sb.append("````" + System.lineSeparator()); + ops.stream().filter(op -> op.getConfigs().contains(config)).forEach(op -> + sb.append("[" + op.getOpName() + "]" + "(#" + op.getOpName() + ")" + System.lineSeparator())); + } + File outFile = new File(outputDirectory + "/ops", "/namespace-" + namespace.getName() + ".md"); + FileUtils.writeStringToFile(outFile, sb.toString(), StandardCharsets.UTF_8); + } + + private static void generateEnum(File outputDirectory, String targetPackage, Arg arg) throws IOException { + final String className = GenUtil.ensureFirstIsCap(arg.name()); + enumMapping.put(arg, ClassName.get(targetPackage, className)); + + TypeSpec.Builder builder = TypeSpec.enumBuilder(className) + .addModifiers(Modifier.PUBLIC) + .addJavadoc(CodeBlock.of(arg.getDescription())); + + for (String possibleValue : arg.getPossibleValues()) { + builder.addEnumConstant(possibleValue); + } + + TypeSpec ts = builder.build(); + + JavaFile jf = JavaFile.builder(targetPackage, ts) + .build(); + + + StringBuilder sb = new StringBuilder(); + sb.append(copyright); + sb.append(codeGenWarning); + jf.writeTo(sb); + + File outFile = new File(outputDirectory, packageToDirectory(targetPackage) + "/" + className + ".java"); + FileUtils.writeStringToFile(outFile, sb.toString(), StandardCharsets.UTF_8); + } + + private static void generateConfigs(File outputDirectory, String basePackage) throws IOException { + for (Config config : Registry.INSTANCE.configs()) { + generateConfig(outputDirectory, basePackage+".configs", config); + } + } + + private static void generateConfig(File outputDirectory, String targetPackage, Config config) throws IOException { + if(config.getJavaClassOverride() != null && !config.getJavaClassOverride().isEmpty()){ + //Java class override means "don't generate, use the existing one instead" + String c = config.getJavaClassOverride(); + int idx = c.lastIndexOf('.'); + String pkg = c.substring(0,idx); + String className = c.substring(idx+1); + configMapping.put(config, ClassName.get(pkg, className)); + return; + } + + final String className = GenUtil.ensureFirstIsCap(config.name()); + configMapping.put(config, ClassName.get(targetPackage, className)); + + // Build Config Builder Class + final TypeSpec.Builder sdb = TypeSpec.classBuilder("SdBuilder").addModifiers(Modifier.STATIC, Modifier.PUBLIC); + final TypeSpec.Builder ndb = TypeSpec.classBuilder("NdBuilder").addModifiers(Modifier.STATIC, Modifier.PUBLIC); + + for (Input input : config.getInputs()) { + addConfigBuilderParam(className, sdb, input.getName(), input.getType(), getType(TypeName.get(SDVariable.class), input.getCount()), input.getDescription(), input.getCount()); + addConfigBuilderParam(className, ndb, input.getName(), input.getType(), getType(TypeName.get(INDArray.class), input.getCount()), input.getDescription(), input.getCount()); + } + + for (Arg arg : config.getArgs()) { + addConfigBuilderParam(className, sdb, arg.getName(), null, getArgType(arg), arg.getDescription(), arg.getCount()); + addConfigBuilderParam(className, ndb, arg.getName(), null, getArgType(arg), arg.getDescription(), arg.getCount()); + } + + ArrayList parts = new ArrayList<>(); + ArrayList parameters = new ArrayList<>(); + for (Input input : config.getInputs()) { + parts.add("$L"); + parameters.add( + input.hasDefaultValue() ? + input.name() + " == null ? " + ((Input)input.defaultValue()).getName() +" : "+input.name() + : input.name() + ); } + for (Arg input : config.getArgs()) { + parts.add("$L"); + parameters.add( + input.hasDefaultValue() ? + input.name() + " == null ? " + anyToCode(input, input.defaultValue()) +" : "+input.name() + : input.name() + ); + } + parameters.add(0, className); + + final MethodSpec.Builder build = MethodSpec.methodBuilder("build") + .addModifiers(Modifier.PUBLIC) + .returns(ClassName.bestGuess(className)); + buildConstraints(build, config.getConstraints()); + build.addStatement("return new $N("+(String.join(", ", parts))+")", parameters.toArray()); + + sdb.addMethod(build.build()); + ndb.addMethod(build.build()); + + + final TypeSpec ndBuilder = ndb.build(); + final TypeSpec sdBuilder = sdb.build(); + + + // Build Config Holder Class + TypeSpec.Builder holder = TypeSpec.classBuilder(className).addModifiers(Modifier.PUBLIC); + + final MethodSpec.Builder ndConstructorBuilder = MethodSpec.constructorBuilder().addModifiers(Modifier.PRIVATE); + final MethodSpec.Builder sdConstructorBuilder = MethodSpec.constructorBuilder().addModifiers(Modifier.PRIVATE); + + + for (Input input : config.getInputs()) { + final String inputName = GenUtil.ensureFirstIsCap(input.getName()); + addConfigParam(holder, ndConstructorBuilder, "nd" + inputName, getType(TypeName.get(INDArray.class), input.getCount()), input.getDescription(), true); + addConfigParam(holder, sdConstructorBuilder, "sd" + inputName, getType(TypeName.get(SDVariable.class), input.getCount()), input.getDescription(), true); + } + + for (Arg arg : config.getArgs()) { + addConfigParam(holder, ndConstructorBuilder, arg.getName(), getArgType(arg), arg.getDescription(), true); + addConfigParam(holder, sdConstructorBuilder, arg.getName(), getArgType(arg), arg.getDescription(), false); + } + holder.addMethod(sdConstructorBuilder.build()); + holder.addMethod(ndConstructorBuilder.build()); + + holder.addMethod(MethodSpec.methodBuilder("sdBuilder") + .addModifiers(Modifier.STATIC, Modifier.PUBLIC) + .addStatement("return new $N()", sdBuilder.name) + .returns(ClassName.bestGuess(sdBuilder.name)) + .build()); + holder.addType(sdBuilder); + holder.addMethod(MethodSpec.methodBuilder("ndBuilder") + .addModifiers(Modifier.STATIC, Modifier.PUBLIC) + .addStatement("return new $N()", ndBuilder.name) + .returns(ClassName.bestGuess(ndBuilder.name)) + .build()); + holder.addType(ndBuilder); + + // add javadoc + //Method javadoc: + List doc = config.getDoc(); + if(!doc.isEmpty()){ + for(DocSection ds : doc){ + if(ds.applies(Language.JAVA, CodeComponent.OP_CREATOR)){ + String text = ds.getText(); + //Add
tags at the end of each line, where none already exists + String[] lines = text.split("\n"); + for( int i=0; i")){ + lines[i] = lines[i] + "
"; + } + } + text = String.join("\n", lines); + holder.addJavadoc(text + "\n\n"); + } + } + } + + + // Document Constraints: + final List constraints = config.getConstraints(); + if(!constraints.isEmpty()){ + holder.addJavadoc("Inputs must satisfy the following constraints:
\n"); + for (Constraint constraint : constraints) { + holder.addJavadoc(constraint.getMessage() +": " + constraintCodeGenerator.generateExpression(constraint.getCheck()) + "
\n"); + } + + holder.addJavadoc("\n"); + } + + TypeSpec ts = holder.build(); + + + JavaFile jf = JavaFile.builder(targetPackage, ts) + .build(); + + + StringBuilder sb = new StringBuilder(); + sb.append(copyright); + sb.append(codeGenWarning); + jf.writeTo(sb); + + File outFile = new File(outputDirectory, packageToDirectory(targetPackage) + "/" + className + ".java"); + FileUtils.writeStringToFile(outFile, sb.toString(), StandardCharsets.UTF_8); + } + + private static void addConfigParam(TypeSpec.Builder builder, MethodSpec.Builder constructorBuilder, String paramName, TypeName paramType, String paramDescription, boolean addField) { + if(addField){ + // Add param fields + builder.addField(paramType, paramName, Modifier.PRIVATE); + + // Add param getters + builder.addMethod(generateGetter(paramType, paramName, paramDescription, false)); + } + + // Add param constructor parameters + constructorBuilder.addParameter(paramType, paramName, Modifier.FINAL); + constructorBuilder.addStatement("this.$L = $L", paramName, paramName); + } + + private static void addConfigBuilderParam(String configClassName, TypeSpec.Builder builder, String paramName, DataType inputType, TypeName paramType, String paramDescription, Count count) { + final String builderName = builder.build().name; + // Add param fields + builder.addField(paramType.box(), paramName, Modifier.PRIVATE); + + // Add param getters + builder.addMethod(generateGetter(paramType, paramName, paramDescription, true)); + + // Add param setter + final MethodSpec.Builder setter = MethodSpec.methodBuilder(paramName) + .addParameter(paramType, paramName) + .addModifiers(Modifier.PUBLIC); + checkParameterCount(setter, count, paramName); + if(inputType != null){ + if(builderName.equals("SdBuilder")){ + setter.addStatement("$T.$L($S, $S, $L)", SDValidation.class, validationMapping.get(inputType), "Config: " + configClassName, paramName, paramName); + }else if(builderName.equals("NdBuilder")){ + setter.addStatement("$T.$L($S, $S, $L)", NDValidation.class, validationMapping.get(inputType), "Config: " + configClassName, paramName, paramName); + }else{ + throw new IllegalArgumentException("Unknown Builder Type "+builderName); + } + } + setter.addStatement("this.$L = $L", paramName, paramName) + .addStatement("return this") + .returns(ClassName.bestGuess(builderName)); + + if(count != null && !count.equals(exactlyOne)){ + setter.varargs(true); + } + + if(paramDescription != null){ + setter.addJavadoc(paramDescription); + } + builder.addMethod(setter.build()); + } + + private static TypeName getType(TypeName typeVariable, Count count) { + if(count != null && !count.equals(exactlyOne)){ + return ArrayTypeName.of(typeVariable); + }else{ + return typeVariable; + } + } + + @NotNull + private static MethodSpec generateGetter(TypeName typeVariable, String paramName, String paramDescription, boolean fluent) { + final MethodSpec.Builder getter = MethodSpec.methodBuilder((fluent ? paramName : "get" + GenUtil.ensureFirstIsCap(paramName))) + .addModifiers(Modifier.PUBLIC) + .returns(typeVariable); + if(paramDescription != null){ + getter.addJavadoc(paramDescription); + } + getter.addStatement("return this.$L", paramName); + return getter.build(); + } + + private static String anyToCode(Parameter parameter, Object v){ + if(v == null){ return "null"; } + else if(v instanceof int[]){ return "new int[]"+Arrays.toString((int[]) v).replace("[", "{").replace("]", "}"); } + else if(v instanceof long[]){ return "new long[]"+Arrays.toString((long[]) v).replace("[", "{").replace("]", "}"); } + else if(v instanceof float[]){ return "new float[]"+Arrays.toString((float[]) v).replace("[", "{").replace("]", "}"); } + else if(v instanceof double[]){ return "new double[]"+Arrays.toString((double[]) v).replace("[", "{").replace("]", "}"); } + else if(v instanceof boolean[]){ return "new boolean[]"+Arrays.toString((boolean[]) v).replace("[", "{").replace("]", "}"); } + else if(v instanceof Input){ return ((Input)v).getName(); } + else if(v instanceof org.nd4j.linalg.api.buffer.DataType){ return "DataType." + v; } + else if(v instanceof LossReduce || v instanceof org.nd4j.autodiff.loss.LossReduce){ return "org.nd4j.autodiff.loss.LossReduce." + v; } + else if(parameter instanceof Arg && ((Arg)parameter).getType() == DataType.ENUM){ + return GenUtil.ensureFirstIsCap(parameter.name()) + "." + v.toString(); + } else return v.toString(); + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/python/PythonGenerator.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/python/PythonGenerator.java new file mode 100644 index 000000000..cf627a51b --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/impl/python/PythonGenerator.java @@ -0,0 +1,164 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.python; + +import org.apache.commons.io.FileUtils; +import org.nd4j.codegen.api.*; +import org.nd4j.codegen.api.doc.DocTokens; +import org.nd4j.codegen.api.generator.Generator; +import org.nd4j.codegen.api.generator.GeneratorConfig; +import org.nd4j.codegen.util.GenUtil; + +import java.io.File; +import java.io.IOException; +import java.nio.charset.StandardCharsets; +import java.util.ArrayList; +import java.util.List; + +/** + * This is a very simple, manual namespace generator + * We could of course use a templating library such as Freemarker, which woudl work fine - but: + * (a) on the one hand, it's overkill/unnecessary + * (b) on the other hand, may provide less flexibility than a manual implementation + * + */ +public class PythonGenerator implements Generator { + + private static final String I4 = " "; + + @Override + public Language language() { + return Language.PYTHON; + } + + @Override + public void generateNamespaceNd4j(NamespaceOps namespace, GeneratorConfig config, File directory, String fileName) throws IOException { + + + StringBuilder sb = new StringBuilder(); + sb.append("class ").append(GenUtil.ensureFirstIsCap(namespace.getName())).append(":\n\n"); + + List ops = new ArrayList<>(); + for(Op o : namespace.getOps()){ + if(o.isAbstract()) + continue; + ops.add(o); + } + + //TODO: handle includes + + for(Op o : ops){ + String s = generateMethod(o); + sb.append(GenUtil.addIndent(s, 4)); + sb.append("\n\n"); + } + + File f = new File(directory, GenUtil.ensureFirstIsCap(namespace.getName()) + ".py"); + String content = sb.toString(); + + FileUtils.writeStringToFile(f, content, StandardCharsets.UTF_8); + } + + protected static String generateMethod(Op op){ + StringBuilder sb = new StringBuilder(); + sb.append("@staticmethod\n") + .append("def ").append(GenUtil.ensureFirstIsNotCap(op.getOpName())).append("("); + + //Add inputs to signature + boolean firstArg = true; + if(op.getInputs() != null){ + for(Input i : op.getInputs()){ + if(!firstArg) + sb.append(", "); + + sb.append(i.getName()); + + firstArg = false; + } + } + + + //Add arguments and default args to signature + + sb.append("):\n"); + + String docString = genDocString(op); + sb.append(GenUtil.addIndent(docString, 4)); + + sb.append(I4).append("# Execution code here\n"); + + + return sb.toString(); + } + + protected static String genDocString(Op op){ + //Following roughly: https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html + StringBuilder sb = new StringBuilder(); + sb.append("\"\"\"") + .append(op.getOpName()) + .append(" operation") + .append("\n\n"); + if(op.getInputs() != null){ + sb.append("Args:"); + sb.append("\n"); + for(Input i : op.getInputs()){ + sb.append(I4).append(i.getName()).append(" (ndarray): "); + if(i.getDescription() != null) + sb.append(DocTokens.processDocText(i.getDescription(), op, DocTokens.GenerationType.ND4J)); + sb.append("\n"); + } + } + + sb.append("\n"); + + if(op.getOutputs() != null){ + sb.append("Returns:\n"); + List o = op.getOutputs(); + + if(o.size() == 1){ + sb.append(I4).append("ndarray: ").append(o.get(0).getName()); + String d = o.get(0).getDescription(); + if(d != null){ + sb.append(" - ").append(DocTokens.processDocText(d, op, DocTokens.GenerationType.ND4J)); + } + sb.append("\n"); + } else { + throw new UnsupportedOperationException("Not yet implemented: Python docstring generation for multiple output ops"); + } + } + + if(op.getArgs() != null){ + //Args and default args + throw new UnsupportedOperationException("Generating method with args not yet implemented"); + } + + sb.append("\"\"\"\n"); + + return sb.toString(); + } + + + + @Override + public void generateNamespaceSameDiff(NamespaceOps namespace, GeneratorConfig config, File directory, String fileName) throws IOException { + throw new UnsupportedOperationException("Not yet implemented"); + } +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/ir/SerializationTest.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/ir/SerializationTest.java new file mode 100644 index 000000000..f41bd93a6 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/ir/SerializationTest.java @@ -0,0 +1,29 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ir; + +public class SerializationTest { + + public static void main(String...args) { + + } + +} diff --git a/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/util/GenUtil.java b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/util/GenUtil.java new file mode 100644 index 000000000..c92df439f --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/java/org/nd4j/codegen/util/GenUtil.java @@ -0,0 +1,64 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.util; + +import org.nd4j.codegen.api.Op; + +public class GenUtil { + + private GenUtil(){ } + + public static String ensureFirstIsCap(String in){ + if(Character.isUpperCase(in.charAt(0))){ + return in; + } + + return Character.toUpperCase(in.charAt(0)) + in.substring(1); + } + + public static String ensureFirstIsNotCap(String in){ + if(Character.isLowerCase(in.charAt(0))){ + return in; + } + + return Character.toLowerCase(in.charAt(0)) + in.substring(1); + } + + public static String repeat(String in, int count){ + StringBuilder sb = new StringBuilder(); + for( int i=0; i? = null, + var ops: MutableList = mutableListOf(), + var configs: MutableList = mutableListOf(), + var parentNamespaceOps: Map> = mutableMapOf() +) { + fun addConfig(config: Config) { + configs.add(config) + } + + /** + * Check that all required properties are set + */ + fun checkInvariants() { + val usedConfigs = mutableSetOf() + ops.forEach { op -> + usedConfigs.addAll(op.configs) + } + val unusedConfigs = configs.toSet() - usedConfigs + if(unusedConfigs.size > 0){ + throw IllegalStateException("Found unused configs: ${unusedConfigs.joinToString(", ") { it.name }}") + } + } + + /** + * Get op by name + */ + fun op(name:String):Op { + val op = ops.find { op -> op.opName.equals(name) } ?: throw java.lang.IllegalStateException("Operation $name not found") + return op + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Op.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Op.kt new file mode 100644 index 000000000..97799ee45 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Op.kt @@ -0,0 +1,200 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api + +import org.nd4j.codegen.api.doc.DocSection + +interface OpLike { + fun name(): String + fun inputs(): List + fun args(): List + fun configs(): List + fun outputs(): List + + fun allParameters(): List + + fun addInput(input: Input) + fun addArgument(arg: Arg) + fun addOutput(output: Output) + fun addDoc(docs: DocSection) + fun addSignature(signature: Signature) + fun addConstraint(constraint: Constraint) + fun addConfig(config: Config) + + fun Config.input(name: String) = inputs.find { it.name == name }!! + fun Config.arg(name: String) = args.find { it.name == name }!! + + fun Mixin.input(name: String) = inputs.find { it.name == name }!! + fun Mixin.arg(name: String) = args.find { it.name == name }!! + fun Mixin.output(name: String) = outputs.find { it.name == name }!! + fun Mixin.config(name: String) = configs.find { it.name == name }!! +} + +data class Op ( + val opName: String, + var libnd4jOpName: String? = null, + var javaOpClass: String? = null, + var isAbstract: Boolean = false, + var legacy: Boolean = false, + var argsFirst: Boolean = false, + var javaPackage: String? = null, + val inputs: MutableList = mutableListOf(), + val outputs: MutableList = mutableListOf(), + val args: MutableList = mutableListOf(), + val constraints: MutableList = mutableListOf(), + val signatures: MutableList = mutableListOf(), + val doc: MutableList = mutableListOf(), + val configs: MutableList = mutableListOf() +): OpLike { + override fun name() = opName + override fun inputs(): List = inputs + override fun args(): List = args + override fun configs(): List = configs + override fun outputs(): List = outputs + override fun allParameters(): List = inputs + args + configs + + + override fun toString(): String { + return "Op(opName=$opName, libnd4jOpName=$libnd4jOpName, isAbstract=$isAbstract)" + } + + override fun addInput(input: Input) { inputs.addOrReplace(input) } + override fun addArgument(arg: Arg) { args.addOrReplace(arg) } + override fun addOutput(output: Output) { outputs.addOrReplace(output) } + override fun addDoc(docs: DocSection){ doc.add(docs) } + override fun addSignature(signature: Signature){ signatures.add(signature) } + override fun addConstraint(constraint: Constraint){ constraints.add(constraint) } + override fun addConfig(config: Config) { configs.addOrReplace(config) } + + /** + * Check that all required properties are set + */ + fun checkInvariants() { + if( !isAbstract && (doc.size == 0 || doc.all { it.text.isNullOrBlank() } != false )){ + throw IllegalStateException("$opName: Ops must be documented!") + } + + signatures.forEach { + val opParameters = mutableListOf() + opParameters.addAll(inputs) + opParameters.addAll(args) + + val notCovered = opParameters.fold(mutableListOf()){acc, parameter -> + if(!(it.parameters.contains(parameter) || parameter.defaultValueIsApplicable(it.parameters))){ + acc.add(parameter) + } + acc + } + + if(notCovered.size > 0){ + throw IllegalStateException("$opName: $it does not cover all parameters! Missing: ${notCovered.joinToString(", ") { it.name() }}") + } + } + + args.filter { it.type == DataType.ENUM }.forEach { + if(it.description == null){ + throw IllegalStateException("$opName: Argument ${it.name} is ENUM but has no documentation!") + } + } + } +} + +data class Mixin ( + val name: String, + + val inputs: MutableList = mutableListOf(), + val outputs: MutableList = mutableListOf(), + val args: MutableList = mutableListOf(), + val constraints: MutableList = mutableListOf(), + val signatures: MutableList = mutableListOf(), + val doc: MutableList = mutableListOf(), + val configs: MutableList = mutableListOf() +): OpLike { + override fun name() = name + override fun inputs(): List = inputs + override fun args(): List = args + override fun configs(): List = configs + override fun outputs(): List = outputs + override fun allParameters(): List = inputs + args + configs + + override fun toString(): String { + return "Mixin($name)" + } + + override fun addInput(input: Input) { inputs.addOrReplace(input) } + override fun addArgument(arg: Arg) { args.addOrReplace(arg) } + override fun addOutput(output: Output) { outputs.addOrReplace(output) } + override fun addDoc(docs: DocSection){ doc.add(docs) } + override fun addSignature(signature: Signature){ signatures.add(signature) } + override fun addConstraint(constraint: Constraint){ constraints.add(constraint) } + override fun addConfig(config: Config) { configs.addOrReplace(config) } + + + var legacyWasSet: Boolean = false + var legacy: Boolean = false + set(value) { + field = value + legacyWasSet = true + } + var javaPackageWasSet: Boolean = false + var javaPackage: String? = null + set(value) { + field = value + javaPackageWasSet = true + } + + /** + * Check that all required properties are set + */ + fun checkInvariants() { + signatures.forEach { + val opParameters = mutableListOf() + opParameters.addAll(inputs) + opParameters.addAll(args) + + val notCovered = opParameters.fold(mutableListOf()){acc, parameter -> + if(!(it.parameters.contains(parameter) || parameter.defaultValueIsApplicable(it.parameters))){ + acc.add(parameter) + } + acc + } + + if(notCovered.size > 0){ + throw IllegalStateException("$this: $it does not cover all parameters! Missing: ${notCovered.joinToString(", ") { it.name() }}") + } + } + } +} + +fun MutableList.addOrReplaceAll(params: List){ + params.forEach { + this.addOrReplace(it) + } +} + +fun MutableList.addOrReplace(param: T){ + val found = this.find { it.name() == param.name() } + if(found != null){ + this.replaceAll { if(it.name() == param.name()){ param } else { it } } + }else{ + this.add(param) + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Registry.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Registry.kt new file mode 100644 index 000000000..15ed9292c --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Registry.kt @@ -0,0 +1,45 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api + +object Registry { + private val enums: MutableMap = mutableMapOf() + private val configs: MutableMap = mutableMapOf() + + fun enums() = enums.values.sortedBy { it.name } + fun configs() = configs.values.sortedBy { it.name } + + fun registerEnum(arg: Arg){ + when(enums[arg.name]){ + null -> enums[arg.name] = arg + arg -> { /* noop */ } + else -> throw IllegalStateException("Another enum with the name ${arg.name} already exists! Enums have to use unique names. If you want to use an enum in multiple places, use mixins to define them.") + } + } + + fun registerConfig(config: Config){ + when(configs[config.name]){ + null -> configs[config.name] = config + config -> { /* noop */ } + else -> throw IllegalStateException("Another config with the name ${config.name} already exists! Configs have to use unique names.") + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Variables.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Variables.kt new file mode 100644 index 000000000..f8efa9677 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/Variables.kt @@ -0,0 +1,260 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api + +import org.nd4j.codegen.api.doc.DocSection +import java.util.* + + +open class Constraint ( + var message: String? = null, + var check: Expression +) + +class BackendConstraint(message: String? = null, check: Expression): Constraint(message, check) + +// Used in Constraint Expressions +sealed class Reference +data class NumberReference(val value: T): Reference() +data class BooleanReference(val value: Boolean): Reference() +data class InputShapeReference(val input: Input, val idx: Int): Reference() +data class InputRankReference(val input: Input): Reference() +sealed class Expression: Reference() +data class BooleanExpression(val left: Reference, val right: Reference, val op: BooleanOperation): Expression() +data class SameTypeExpression(val inputs: List): Expression() +data class SameShapeExpression(val inputs: List): Expression() +data class BroadcastableShapesExpression(val inputs: List): Expression() +enum class BooleanOperation{EQ, NEQ, LT, LTE, GT, GTE, AND, OR} + + +// Used to define array sizes +sealed class Count +data class Range(val from: Int, val to: Int): Count() +data class AtLeast(val min: Int): Count() +data class AtMost(val max: Int): Count() +data class Exactly(val count: Int): Count() + +// Actual parameters +interface Parameter { + fun name(): String + fun defaultValue() : Any? + + fun hasDefaultValue(): Boolean + + fun isVararg():Boolean + + /** + * A default value only is applicable if it is a literal value, or the referenced value is either directly a part of + * the signature, or there is a reference chain that ends in something that is actually a part of the signature + */ + fun defaultValueIsApplicable(otherParams: List): Boolean = if(hasDefaultValue()){ + when(val defaultValue = this.defaultValue()){ + is Number, is Boolean, null -> true + is IntArray, is BooleanArray, is DoubleArray -> true + is String -> true + is org.nd4j.linalg.api.buffer.DataType -> true + is org.nd4j.codegen.api.LossReduce -> true + is Parameter -> otherParams.contains(defaultValue) || defaultValue.defaultValueIsApplicable(otherParams) + is TensorDataTypeValue -> otherParams.contains(defaultValue.tensor) || defaultValue.tensor.defaultValueIsApplicable(otherParams) + is TensorShapeValue -> otherParams.contains(defaultValue.tensor) || defaultValue.tensor.defaultValueIsApplicable(otherParams) + else -> false + } + }else{ + false + } +} +interface Tensor: Parameter + +data class Arg( + val name: String, + val type: DataType, + var description: String? = null, + var isVargarg: Boolean = false +) : Reference(), Parameter { + override fun name(): String = name + override fun defaultValue(): Any? = defaultValue + override fun hasDefaultValue(): Boolean = defaultValueIsSet + override fun isVararg(): Boolean { + return isVargarg + } + + private var defaultValueIsSet = false + var defaultValue: Any? = null + set(value) = if(isAssignableFrom(value)) { + field = value + defaultValueIsSet = true + }else{ + throw IllegalArgumentException("Illegal default value for $this. Got ${value.toDescriptiveString()} (${value?.javaClass?.name})") + } + + var possibleValues: List? = null + set(value) = if(type == DataType.ENUM) when { + value == null -> field = null + value.isEmpty() -> throw IllegalArgumentException("$this: Can not set empty possibleValues.") + else -> field = value + } else { + throw IllegalArgumentException("$this: Can not set possibleValues on non ENUM typed Arg.") + } + + var count: Count? = null + set(value) = if(type == DataType.ENUM && value != Exactly(1)) { + throw IllegalArgumentException("$this: ENUM typed Arg can not be array") + }else{ + field = value + } + + private fun matchesDataType(value: Any?) = when(type){ + DataType.FLOATING_POINT -> value is Double + DataType.INT -> (value is Int) || (value is Long) + DataType.LONG -> (value is Int) || (value is Long) + DataType.NUMERIC -> value is Number + DataType.BOOL -> value is Boolean + else -> false + } + + private fun isAssignableFrom(value: Any?) = when(value){ + is TensorShapeValue -> isArray() && type == DataType.INT + is TensorDataTypeValue -> type == DataType.DATA_TYPE + is Number, is Boolean -> matchesDataType(value) + is IntArray -> isArray() && (type == DataType.INT || type == DataType.NUMERIC) && countMatches(value.size) + is DoubleArray -> isArray() && (type == DataType.FLOATING_POINT || type == DataType.NUMERIC) && countMatches(value.size) + is BooleanArray -> isArray() && type == DataType.BOOL && countMatches(value.size) + is Arg -> value.count == count && value.type == type + is String -> type == DataType.STRING || type == DataType.ENUM && possibleValues != null && possibleValues?.contains(value) ?: false + //is String -> type == DataType.ENUM && possibleValues != null && possibleValues?.contains(value) ?: false + is org.nd4j.linalg.api.buffer.DataType -> type == DataType.DATA_TYPE + is org.nd4j.codegen.api.LossReduce -> type == DataType.LOSS_REDUCE + null -> true + else -> false + } + + fun isArray() = count != Exactly(1) && count != null + fun countMatches(size: Int) = when(val c = count!!){ + is Range -> c.from <= size && size <= c.to + is AtLeast -> c.min <= size + is AtMost -> size <= c.max + is Exactly -> c.count == size + } + + fun Tensor.shape() = TensorShapeValue(this) + fun Tensor.dataType() = TensorDataTypeValue(this) + + override fun toString() = "Arg(${if(type == DataType.ENUM){ + "ENUM(${possibleValues?.joinToString(", ")})" + }else{ + type.toString() + }}, $name)${if(count != null) "{ count = $count }" else "" }" +} + +data class Input ( + val name: String, + val type: DataType, + var description: String? = null, + var count: Count? = null +) : Parameter, Tensor { + override fun isVararg(): Boolean { + return false + } + + override fun name(): String = name + override fun defaultValue(): Any? = defaultValue + override fun hasDefaultValue(): Boolean = defaultValueIsSet + + private var defaultValueIsSet = false + var defaultValue: Input? = null + set(value) = if(matchesDataType(value)){ + field = value + defaultValueIsSet = true + }else{ + throw IllegalArgumentException("Illegal default value for Input($name). Allowed values have to match data type $type, but got ${value.toDescriptiveString()} (${value?.javaClass?.name})") + } + + private fun matchesDataType(value: Input?) = when(value){ + null -> true + else -> value.type == type + } +} + +data class Output( + var name: String, + var type: DataType, + var multiOutput: Boolean, + var description: String? = null +) : Parameter, Tensor{ + override fun isVararg(): Boolean { + return false + } + + override fun name(): String = name + override fun defaultValue(): Any? = null + override fun hasDefaultValue(): Boolean = false +} + +data class Signature( + val parameters: List, + val description: String? = null +){ + override fun toString(): String { + return "Signature(${parameters.joinToString {it.name()}})" + } +} + +// Used in defining default values +data class TensorShapeValue(val tensor: Tensor) { + override fun toString(): String = "${tensor.name()}.shape()" +} +data class TensorDataTypeValue(val tensor: Tensor){ + override fun toString(): String = "${tensor.name()}.dataType()" +} + +fun Any?.toDescriptiveString() = when(this){ + null -> "null" + is IntArray -> Arrays.toString(this) + is LongArray -> Arrays.toString(this) + is DoubleArray -> Arrays.toString(this) + is FloatArray -> Arrays.toString(this) + is BooleanArray -> Arrays.toString(this) + is Array<*> -> Arrays.toString(this) + else -> this.toString() +} + +data class Config( + val name: String, + val inputs: MutableList = mutableListOf(), + val args: MutableList = mutableListOf(), + val constraints: MutableList = mutableListOf(), + val doc: MutableList = mutableListOf() + ): Parameter { + override fun isVararg(): Boolean { + return false + } + + override fun name(): String = name + override fun defaultValue(): Any? = null + override fun hasDefaultValue(): Boolean = false + + fun addInput(input: Input) { inputs.add(input) } + fun addArgument(arg: Arg) { args.add(arg) } + fun addConstraint(constraint: Constraint){ constraints.add(constraint) } + fun addDoc(doc: DocSection){ this.doc.add(doc) } + + var javaClassOverride: String = "" +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocScope.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocScope.kt new file mode 100644 index 000000000..63c260d64 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocScope.kt @@ -0,0 +1,36 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api.doc + +import org.nd4j.codegen.api.CodeComponent + +enum class DocScope { + ALL, CLASS_DOC_ONLY, CREATORS_ONLY, CONSTRUCTORS_ONLY; + + fun applies(codeComponent: CodeComponent): Boolean { + return when (this) { + ALL -> true + CLASS_DOC_ONLY -> codeComponent === CodeComponent.CLASS_DOC + CREATORS_ONLY -> codeComponent === CodeComponent.OP_CREATOR + CONSTRUCTORS_ONLY -> codeComponent === CodeComponent.CONSTRUCTOR + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocSection.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocSection.kt new file mode 100644 index 000000000..5d15f3d25 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocSection.kt @@ -0,0 +1,34 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api.doc + +import org.nd4j.codegen.api.CodeComponent +import org.nd4j.codegen.api.Language + + +data class DocSection(var scope: DocScope? = null, + var language: Language? = null, + var text: String? = null) { + + fun applies(language: Language, codeComponent: CodeComponent): Boolean { + return (this.language === Language.ANY || language === this.language) && scope!!.applies(codeComponent) + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocTokens.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocTokens.kt new file mode 100644 index 000000000..47144b0a3 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/doc/DocTokens.kt @@ -0,0 +1,40 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api.doc + +import org.nd4j.codegen.api.Op + +object DocTokens { + enum class GenerationType { SAMEDIFF, ND4J } + private val OPNAME = "%OPNAME%".toRegex() + private val LIBND4J_OPNAME = "%LIBND4J_OPNAME%".toRegex() + private val INPUT_TYPE = "%INPUT_TYPE%".toRegex() + + @JvmStatic fun processDocText(doc: String?, op: Op, type: GenerationType): String { + return doc + ?.replace(OPNAME, op.opName) + ?.replace(LIBND4J_OPNAME, op.libnd4jOpName!!) + ?.replace(INPUT_TYPE, when(type){ + GenerationType.SAMEDIFF -> "SDVariable" + GenerationType.ND4J -> "INDArray" + }) ?: "" + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/ConstraintCodeGenerator.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/ConstraintCodeGenerator.kt new file mode 100644 index 000000000..bfa75d800 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/ConstraintCodeGenerator.kt @@ -0,0 +1,28 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api.generator + +import org.nd4j.codegen.api.Expression + + +interface ConstraintCodeGenerator { + fun generateExpression(expression: Expression): String +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/Generator.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/Generator.kt new file mode 100644 index 000000000..9e0e60125 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/Generator.kt @@ -0,0 +1,36 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api.generator + +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.NamespaceOps +import java.io.File +import java.io.IOException + +interface Generator { + fun language(): Language? + + @Throws(IOException::class) + fun generateNamespaceNd4j(namespace: NamespaceOps?, config: GeneratorConfig?, directory: File?, className: String?) + + @Throws(IOException::class) + fun generateNamespaceSameDiff(namespace: NamespaceOps?, config: GeneratorConfig?, directory: File?, className: String?) +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/GeneratorConfig.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/GeneratorConfig.kt new file mode 100644 index 000000000..47cf6e2ec --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/api/generator/GeneratorConfig.kt @@ -0,0 +1,27 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.api.generator + +import org.nd4j.codegen.api.Op + +class GeneratorConfig { + fun acceptOp(op: Op?): Boolean = true +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/dsl/OpBuilder.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/dsl/OpBuilder.kt new file mode 100644 index 000000000..f36784830 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/dsl/OpBuilder.kt @@ -0,0 +1,370 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl + +import org.nd4j.codegen.api.* +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.api.doc.DocSection +import org.nd4j.codegen.ops.SDBaseOps +import java.lang.IllegalStateException + +fun Namespace(name: String, block: NamespaceOps.() -> Unit): NamespaceOps { + val ns = NamespaceOps(name) + ns.block() + + ns.checkInvariants() + return ns +} + +fun Mixin(name: String, block: Mixin.() -> Unit): Mixin { + return Mixin(name).apply(block).also { + it.checkInvariants() + } +} + +fun NamespaceOps.Alias(ns:NamespaceOps, opName:String):Op { + val op:Op? = ns.op(opName) + op?.let { + this.parentNamespaceOps[ns.name]?.add(op) + this.ops.add(op) + return op + } + throw IllegalStateException("Failed to create alias for op: $opName") +} + +fun NamespaceOps.Op(name: String, block: Op.() -> Unit): Op { + val op = Op(name) + op.libnd4jOpName = name + + op.block() + + if (!op.isAbstract && op.signatures.isEmpty()) { + op.AllParamSignature() + op.AllDefaultsSignature() + } + + op.checkInvariants() + + this.ops.add(op) + return op +} + +fun NamespaceOps.Op(name: String, + extends: Mixin, + keepArgs: Boolean = true, + keepInputs: Boolean = true, + keepOutputs: Boolean = true, + keepConstraints: Boolean = true, + keepSignatures: Boolean = true, + keepDocs: Boolean = true, + block: (Op.() -> Unit)? = null): Op { + return this.Op(name) { + useMixin(extends, keepArgs = keepArgs, keepInputs = keepInputs, keepOutputs = keepOutputs, keepConstraints = keepConstraints, keepSignatures = keepSignatures, keepDocs = keepDocs) + + if (block != null) { + this.block() + } + } +} + + +fun OpLike.Input(dataType: DataType, name: String, block: (Input.() -> Unit)? = null): Input { + val input = Input(name, dataType) + if (block != null) input.block() + + if (!dataType.isTensorDataType()) { + throw IllegalArgumentException("Invalid datatype for input \"$name\" of op ${this.name()}: inputs arrays cannot have type $dataType - wrong type, or should be Arg type?"); + } + + this.addInput(input) + + + return input +} + +fun OpLike.Arg(dataType: DataType, name: String, block: (Arg.() -> Unit)? = null): Arg { + val input = Arg(name, dataType) + if (block != null) input.block() + + this.addArgument(input) + if(dataType == DataType.ENUM){ + Registry.registerEnum(input) + } + return input +} + +fun OpLike.Output(dataType: DataType, name: String, block: (Output.() -> Unit)? = null): Output { + val output = Output(name, dataType, false) + if (block != null) output.block() + + if (!dataType.isTensorDataType()) { + throw IllegalArgumentException("Invalid datatype for output \"$name\" of op ${this.name()}: output arrays cannot have type $dataType"); + } + + this.addOutput(output) + return output +} + +fun OpLike.Doc(language: Language, scope: DocScope, block: DocSection.() -> String): DocSection { + val doc = DocSection().apply { + this.language = language + this.scope = scope + text = this.block() + } + this.addDoc(doc) + return doc +} + +fun OpLike.AllParamSignature(withOutput: Boolean = false) { + val allParameters = allParameters() + + this.addSignature(Signature(allParameters)) + if (withOutput) { + val withOutputParams = mutableListOf().also { + it.addAll(this.outputs()) + it.addAll(allParameters) + } + this.addSignature(Signature(withOutputParams)) + } +} + +fun OpLike.AllDefaultsSignature(withOutput: Boolean = false) { + val allParameters = allParameters() + + if (allParameters.find { it.hasDefaultValue() } != null) { + val params = allParameters.filterNot { it.hasDefaultValue() } + this.addSignature(Signature(params)) + if (withOutput) { + val withOutputParams = mutableListOf().also { + it.addAll(this.outputs()) + it.addAll(allParameters) + } + this.addSignature(Signature(withOutputParams)) + } + } +} + +fun OpLike.Signature(vararg params: Parameter, block: (Signature.() -> String)? = null): Signature { + if (params.toSet().size < params.size) { + throw IllegalArgumentException("A parameter may not be used twice in a signature!") + } + val paramsAndOutputs = allParameters() + outputs() + if (!paramsAndOutputs.containsAll(params.toList())) { + throw IllegalArgumentException("You can only use parameters in a signature that are actually defined in $this! Did you forget to useMixin(...) a mixin?") + } + + val signature = Signature(params.toList()) + if (block != null) { + signature.block() + } + this.addSignature(signature) + return signature +} + +fun OpLike.Constraint(desc: String, block: ConstraintBuilder.() -> Expression): Constraint { + val check = ConstraintBuilder().block() + val constraint = Constraint(desc, check) + this.addConstraint(constraint) + return constraint +} + +fun OpLike.BackendConstraint(desc: String, block: ConstraintBuilder.() -> Expression): Constraint { + val check = ConstraintBuilder().block() + val constraint = BackendConstraint(desc, check) + this.addConstraint(constraint) + return constraint +} + +class ConstraintBuilder { + fun broadcastableShapes(vararg inputs: Input) = BroadcastableShapesExpression(inputs.toList()) + fun sameShape(vararg inputs: Input) = SameShapeExpression(inputs.toList()) + fun sameType(vararg inputs: Input) = SameTypeExpression(inputs.toList()) + + fun Input.sizeAt(i: Int) = InputShapeReference(this, i) + fun Input.rank() = InputRankReference(this) + fun Input.isScalar() = this.rank() eq 0 + + fun some(expr: BooleanExpression, vararg exprs: BooleanExpression) = exprs.fold(expr, { acc, cur -> acc or cur }) + fun all(expr: BooleanExpression, vararg exprs: BooleanExpression) = exprs.fold(expr, { acc, cur -> acc and cur }) + fun not(expr: BooleanExpression) = expr eq false + + infix fun BooleanExpression.and(other: BooleanExpression) = BooleanExpression(this, other, BooleanOperation.AND) + infix fun BooleanExpression.or(other: BooleanExpression) = BooleanExpression(this, other, BooleanOperation.OR) + + + infix fun Reference.eq(other: Reference) = BooleanExpression(this, other, BooleanOperation.EQ) + infix fun Reference.eq(other: Number) = this eq NumberReference(other) + infix fun Reference.eq(other: Boolean) = this eq BooleanReference(other) + + + infix fun Reference.neq(other: Reference) = BooleanExpression(this, other, BooleanOperation.NEQ) + infix fun Reference.neq(other: T) = this neq NumberReference(other) + infix fun Reference.neq(other: Boolean) = this neq BooleanReference(other) + + infix fun Reference.gt(other: Reference) = BooleanExpression(this, other, BooleanOperation.GT) + infix fun Reference.gt(other: T) = this gt NumberReference(other) + + infix fun Reference.lt(other: Reference) = BooleanExpression(this, other, BooleanOperation.LT) + infix fun Reference.lt(other: T) = this lt NumberReference(other) + + + infix fun Reference.gte(other: T) = this gte NumberReference(other) + infix fun Reference.gte(other: Reference) = BooleanExpression(this, other, BooleanOperation.GTE) + + infix fun Reference.lte(other: T) = this lte NumberReference(other) + infix fun Reference.lte(other: Reference) = BooleanExpression(this, other, BooleanOperation.LTE) +} + +fun NamespaceOps.Config(name: String, block: (Config.() -> Unit)): Config { + val config = Config(name) + config.block() + this.addConfig(config) + Registry.registerConfig(config) + return config +} + +fun Config.Input(dataType: DataType, name: String, block: (Input.() -> Unit)? = null): Input { + val input = Input(name, dataType) + if (block != null) input.block() + + if (!dataType.isTensorDataType()) { + throw IllegalArgumentException("Invalid datatype for input \"$name\" of config ${this.name}: inputs arrays cannot have type $dataType - wrong type, or should be Arg type?"); + } + + this.addInput(input) + return input +} + +fun Config.Arg(dataType: DataType, name: String, block: (Arg.() -> Unit)? = null): Arg { + val input = Arg(name, dataType) + if (block != null) input.block() + + this.addArgument(input) + if(dataType == DataType.ENUM){ + Registry.registerEnum(input) + } + + return input +} + +fun Config.Constraint(desc: String, block: ConstraintBuilder.() -> Expression): Constraint { + val check = ConstraintBuilder().block() + val constraint = Constraint(desc, check) + this.addConstraint(constraint) + return constraint +} + +fun Config.BackendConstraint(desc: String, block: ConstraintBuilder.() -> Expression): Constraint { + val check = ConstraintBuilder().block() + val constraint = BackendConstraint(desc, check) + this.addConstraint(constraint) + return constraint +} + +fun Config.Doc(language: Language, scope: DocScope, block: DocSection.() -> String): DocSection { + val doc = DocSection().apply { + this.language = language + this.scope = scope + text = this.block() + } + this.addDoc(doc) + return doc +} + +fun OpLike.useConfig(config: Config): Config { + this.addConfig(config) + return config +} + +fun Op.useMixin(mixin: Mixin, + keepArgs: Boolean = true, + keepInputs: Boolean = true, + keepOutputs: Boolean = true, + keepConstraints: Boolean = true, + keepSignatures: Boolean = true, + keepDocs: Boolean = true, + keepConfigs: Boolean = true +) { + if(mixin.legacyWasSet){ + legacy = mixin.legacy + } + if(mixin.javaPackageWasSet){ + javaPackage = mixin.javaPackage + } + if (keepArgs) { + args.addOrReplaceAll(mixin.args) + } + if (keepInputs) { + inputs.addOrReplaceAll(mixin.inputs) + } + if (keepOutputs) { + outputs.addOrReplaceAll(mixin.outputs) + } + if (keepConstraints) { + constraints.addAll(mixin.constraints) + } + if (keepSignatures) { + signatures.addAll(mixin.signatures) + } + if (keepDocs) { + doc.addAll(mixin.doc) + } + if(keepConfigs){ + configs.addOrReplaceAll(mixin.configs) + } +} + +fun Mixin.useMixin(mixin: Mixin, + keepArgs: Boolean = true, + keepInputs: Boolean = true, + keepOutputs: Boolean = true, + keepConstraints: Boolean = true, + keepSignatures: Boolean = true, + keepDocs: Boolean = true, + keepConfigs: Boolean = true) { + if(mixin.legacyWasSet){ + legacy = mixin.legacy + } + if(mixin.javaPackageWasSet){ + javaPackage = mixin.javaPackage + } + if (keepArgs) { + args.addOrReplaceAll(mixin.args) + } + if (keepInputs) { + inputs.addOrReplaceAll(mixin.inputs) + } + if (keepOutputs) { + outputs.addOrReplaceAll(mixin.outputs) + } + if (keepConstraints) { + constraints.addAll(mixin.constraints) + } + if (keepSignatures) { + signatures.addAll(mixin.signatures) + } + if (keepDocs) { + doc.addAll(mixin.doc) + } + if(keepConfigs){ + configs.addOrReplaceAll(mixin.configs) + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/impl/java/JavaConstraintCodeGenerator.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/impl/java/JavaConstraintCodeGenerator.kt new file mode 100644 index 000000000..bf11b822e --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/impl/java/JavaConstraintCodeGenerator.kt @@ -0,0 +1,55 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.java + +import org.nd4j.codegen.api.* +import org.nd4j.codegen.api.generator.ConstraintCodeGenerator + +class JavaConstraintCodeGenerator: ConstraintCodeGenerator { + override fun generateExpression(expression: Expression): String = when(expression) { + is BooleanExpression -> { + val left = generateReference(expression.left) + val right = generateReference(expression.right) + when(expression.op){ + BooleanOperation.EQ -> "$left == $right" + BooleanOperation.NEQ -> "$left != $right" + BooleanOperation.LT -> "$left < $right" + BooleanOperation.LTE -> "$left <= $right" + BooleanOperation.GT -> "$left > $right" + BooleanOperation.GTE -> "$left >= $right" + BooleanOperation.AND -> "$left && $right" + BooleanOperation.OR -> "$left || $right" + } + } + is SameTypeExpression -> "isSameType(${expression.inputs.joinToString(", "){ it.name }})" + is SameShapeExpression -> "isSameShape(${expression.inputs.joinToString(", "){ it.name }})" + is BroadcastableShapesExpression -> "isBroadcastableShapes(${expression.inputs.joinToString(", "){ it.name }})" + } + + private fun generateReference(reference: Reference): String = when(reference){ + is NumberReference<*> -> reference.value.toString() + is BooleanReference -> reference.value.toString() + is InputShapeReference -> "${reference.input.name}.sizeAt(${reference.idx})" + is InputRankReference -> "${reference.input.name}.rank()" + is Arg -> reference.name + is Expression -> "(${generateExpression(reference)})" + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/impl/python/KotlinExamplePythonGenerator.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/impl/python/KotlinExamplePythonGenerator.kt new file mode 100644 index 000000000..df9882cf3 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/impl/python/KotlinExamplePythonGenerator.kt @@ -0,0 +1,94 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.impl.python + +import org.apache.commons.io.FileUtils +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.NamespaceOps +import org.nd4j.codegen.api.Op +import org.nd4j.codegen.api.doc.DocTokens +import org.nd4j.codegen.api.generator.Generator +import org.nd4j.codegen.api.generator.GeneratorConfig +import org.nd4j.codegen.util.GenUtil +import java.io.File +import java.io.IOException +import java.nio.charset.StandardCharsets + +class KotlinExamplePythonGenerator: Generator { + override fun language() = Language.PYTHON + + @Throws(IOException::class) + override fun generateNamespaceNd4j(namespace: NamespaceOps?, config: GeneratorConfig?, directory: File?, className: String?) { + val f = File(directory, GenUtil.ensureFirstIsCap(namespace!!.name) + ".py") + val content = + """ + |class ${GenUtil.ensureFirstIsCap(namespace.name)}: + |${namespace.ops.filterNot { it.isAbstract }.joinToString("\n\n") { generateMethod(it).addIndent(4) }} + """.trimMargin() + FileUtils.writeStringToFile(f, content, StandardCharsets.UTF_8) + } + + fun generateMethod(op: Op): String = + """ + |@staticmethod + |def ${GenUtil.ensureFirstIsNotCap(op.opName)}(${op.inputs.joinToString(", "){it.name}}): + |${genDocString(op).addIndent(4)} + |${"# Execution code here".addIndent(4)} + + """.trimMargin() + + fun genDocString(op: Op): String { + //Following roughly: https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html + // python docstring / multiline string delimiter is the same as in kotlin, so use this little workaround + if (op.args.isNotEmpty()) { + //Args and default args + throw UnsupportedOperationException("Generating method with args not yet implemented") + } + if(op.outputs.size != 1) throw UnsupportedOperationException("Not yet implemented: Python docstring generation for multiple output ops") + + val docStringDelimiter = "\"\"\"" + return """ + |$docStringDelimiter + |${op.opName} operation + | + |${op.inputs.let { """ + |Args: + |${it.joinToString("\n") { + "| ${it.name} (ndarray): ${DocTokens.processDocText(it.description, op, DocTokens.GenerationType.ND4J)}" + }} + |""".trimMargin() }} + |${op.outputs.let {""" + |Returns: + | ndarray: ${it[0].name} ${it[0].description?.let {"- ${DocTokens.processDocText(it, op, DocTokens.GenerationType.ND4J)}" + }}""".trimMargin() + }} + |$docStringDelimiter + """.trimMargin() + } + + @Throws(IOException::class) + override fun generateNamespaceSameDiff(namespace: NamespaceOps?, config: GeneratorConfig?, directory: File?, className: String?) { + throw UnsupportedOperationException("Not yet implemented") + } + + private fun String.addIndent(size: Int): String = GenUtil.addIndent(this, size) +} + diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/GenerateOps.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/GenerateOps.kt new file mode 100644 index 000000000..e57c1f879 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/GenerateOps.kt @@ -0,0 +1,36 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.util + +import org.nd4j.codegen.impl.java.JavaPoetGenerator +import org.nd4j.codegen.ops.Bitwise +import org.nd4j.codegen.ops.Random +import java.io.File + +fun main() { + val outDir = File("F:\\dl4j-builds\\deeplearning4j\\nd4j\\nd4j-backends\\nd4j-api-parent\\nd4j-api\\src\\main\\java\\") + outDir.mkdirs() + + listOf(Bitwise(), Random()).forEach { + val generator = JavaPoetGenerator() + generator.generateNamespaceNd4j(it, null, outDir, it.name + ".java") + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/extract/ExtractFromExisting.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/extract/ExtractFromExisting.kt new file mode 100644 index 000000000..41f9b87fd --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/extract/ExtractFromExisting.kt @@ -0,0 +1,86 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.util.extract + +import java.io.File +import java.util.stream.Collectors + + +private data class Parameter(val name: String, val outType: String) +private data class Op(val name: String, val outType: String, val documentation: String, val parameters: List) + +fun main() { + val inputFile = File("/home/atuzhykov/SkyMind/deeplearning4j/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDImage.java") + val mainRegex = "/\\*\\*(?!\\*)(.*?)\\*/.*?public (.+?) (.+?)\\s*\\((.+?)\\)".toRegex(RegexOption.DOT_MATCHES_ALL) + val parameterRegex = "(?:@.+?\\s+)?([^\\s,]+?) ([^\\s,]+)".toRegex() + + val contents = inputFile.readText() + + val all = mainRegex.findAll(contents) + val ops = all.toList().stream().skip(1).map { + val description = it.groups[1]!!.value.let { + it.replace("^\\s*\\*".toRegex(RegexOption.MULTILINE), "") + } + val outType = it.groups[2]!!.value + val name = it.groups[3]!!.value + val parameterString = it.groups[4]!!.value + + val params = parameterRegex.findAll(parameterString).toList().map { Parameter(it.groups[2]!!.value, it.groups[1]!!.value) } + + + Op(name, outType, description, params) + } + .filter { it.parameters.first().name == "name" } + .collect(Collectors.toList()) + + + val out = ops.map { it.toDSL() }.joinToString("\n\n") + println(""" + import org.nd4j.codegen.api.Language + import org.nd4j.codegen.api.doc.DocScope + import org.nd4j.codegen.dsl.* + import org.nd4j.codegen.api.DataType.* + + fun ${inputFile.nameWithoutExtension}() = Namespace("${inputFile.nameWithoutExtension}"){ + val namespaceJavaPackage = "TODO" + ${out} + } + """.trimIndent()) +} + +private fun Op.toDSL(): String { + return """ + Op("${name}") { + javaPackage = namespaceJavaPackage + ${parameters.filterNot { it.name == "name" }.map { it.toDSL() }.joinToString("\n ")} + + Output(NUMERIC, "output"){ description = "" } + + Doc(Language.ANY, DocScope.ALL){ + ${"\"\"\"\n" + documentation + "\n\"\"\".trimIndent()"} + } + } + """.trimIndent() +} + +private fun Parameter.toDSL(): String { + return """Input(NUMERIC, "${name}") { description = "" }""" +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/extract/FindUsedParameterTypes.kt b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/extract/FindUsedParameterTypes.kt new file mode 100644 index 000000000..d388cd3e4 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/kotlin/org/nd4j/codegen/util/extract/FindUsedParameterTypes.kt @@ -0,0 +1,49 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.util.extract + +import java.io.File +import kotlin.streams.toList + + +fun main() { + val inputDir = File("F:\\dl4j-builds\\deeplearning4j\\nd4j\\nd4j-backends\\nd4j-api-parent\\nd4j-api\\src\\main\\java\\org\\nd4j\\autodiff\\samediff\\ops\\") + val mainRegex = "/\\*\\*(?!\\*)(.*?)\\*/.*?public (.+?) (.+?)\\s*\\((.+?)\\)".toRegex(RegexOption.DOT_MATCHES_ALL) + val parameterRegex = "(?:@.+?\\s+)?([^\\s,]+?) ([^\\s,]+)".toRegex() + + + val pairs = inputDir.listFiles().filterNot { it.name == "SDValidation.java" }.flatMap { inputFile -> + val contents = inputFile.readText() + + val all = mainRegex.findAll(contents).toList().stream().skip(1).toList() + all.flatMap { + val name = it.groups[3]!!.value + val parameterString = it.groups[4]!!.value + parameterRegex.findAll(parameterString).toList().mapNotNull { if(!listOf("name", "names").contains(it.groups[2]!!.value)){name to it.groups[1]!!.value}else{null} } + } + } + + val groups = pairs.groupBy { it.second }.mapValues { it.value.count() }.toSortedMap() + + groups.forEach { k, v -> + println("$k: $v") + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/mixins/Mixins.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/mixins/Mixins.kt new file mode 100644 index 000000000..880b7558b --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/mixins/Mixins.kt @@ -0,0 +1,146 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.mixins + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.DataType +import org.nd4j.codegen.api.Exactly +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* + +val broadcastingDoc = Mixin("broadcastingDoc"){ + Doc(Language.ANY, DocScope.ALL){ + //TODO: finalize content for this broadcasting mixin doc. + """ + Note: supports broadcasting if x and y have different shapes and are broadcastable. + For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10] + Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html + """.trimIndent() + } +} + +val transform = Mixin("transform"){ + legacy = true + Input(DataType.NUMERIC, "x") { description = "Input variable" } + Output(DataType.NUMERIC, "output"){ description = "Output variable" } +} + +val transformArithmetic = Mixin("transformArithmetic"){ + useMixin(transform) + legacy = false + Input(DataType.NUMERIC, "y") { description = "Input variable" } + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic" +} + +val transformCustom2 = Mixin("transformCustom2"){ + Input(DataType.NUMERIC, "x") { description = "First input variable, x" } + Input(DataType.NUMERIC, "y") { description = "Second input variable, y" } + Output(DataType.NUMERIC, "out"){ description = "Output"} + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" +} + +val transformStrict = Mixin("transformStrict"){ + useMixin(transform) + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.strict" +} + +val transformSame = Mixin("transformSame"){ + useMixin(transform) + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.same" +} + +val transformBool = Mixin("transformBool"){ + useMixin(transform) + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.bool" +} + +val transformAny = Mixin("transformAny"){ + useMixin(transform) + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.any" +} + +val transformFloating = Mixin("transformFloating"){ + useMixin(transform) + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.floating" +} + +val scalar = Mixin("scalar"){ + legacy = true + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + Input(DataType.NUMERIC, "x") { description = "Input variable" } + Arg(DataType.NUMERIC, "value") { description = "Scalar value for op" } + Output(DataType.NUMERIC, "output"){ description = "Output variable" } +} + +val reduce = Mixin("reduce"){ + legacy = true + Input(DataType.NUMERIC, "in") { description = "Input variable" } + Arg(DataType.INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(DataType.NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } +} + +val reduceFloating = Mixin("reduceFloating"){ + useMixin(reduce) + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.floating" +} + +val reduceSame = Mixin("reduceSame"){ + useMixin(reduce) + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.same" +} + +val reduceLong = Mixin("reduceLong"){ + useMixin(reduce) + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.longer" +} + +val reduce3 = Mixin("reduce3"){ + legacy = true + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce3" + Input(DataType.NUMERIC, "x") { description = "Input variable x" } + Input(DataType.NUMERIC, "y") { description = "Input variable y" } + Arg(DataType.INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to calculate %OPNAME% over" } + Output(DataType.NUMERIC, "output"){ description = "Output variable" } +} + +val indexAccum = Mixin("indexAccum"){ + legacy = true + javaPackage = "org.nd4j.linalg.api.ops.impl.indexaccum" + val input = Input(DataType.NUMERIC, "in") { description = "Input variable" } + val keepDims = Arg(DataType.BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as length 1). False: remove the reduction dimensions"; defaultValue = false } + val dims = Arg(DataType.INT, "dimensions"){ count = AtLeast(1); isVargarg = true; description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(DataType.NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } + + Signature(input, dims) + AllParamSignature(withOutput = false) +} + +val indexAccumCustom = Mixin("indexAccumCustom"){ + javaPackage = "org.nd4j.linalg.api.ops.impl.indexaccum.custom" + val input = Input(DataType.NUMERIC, "in") { description = "Input variable" } + val keepDims = Arg(DataType.BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as length 1). False: remove the reduction dimensions"; defaultValue = false } + val dims = Arg(DataType.INT, "dimensions"){ count = AtLeast(1); isVargarg = true; description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(DataType.NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } + + Signature(input, dims) + AllParamSignature(withOutput = false) +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Bitwise.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Bitwise.kt new file mode 100644 index 000000000..4ae35ab97 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Bitwise.kt @@ -0,0 +1,225 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.DataType.INT +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* + + +fun Bitwise() = Namespace("Bitwise"){ + val namespaceJavaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + + Op("leftShift") { + javaPackage = namespaceJavaPackage + javaOpClass = "ShiftBits" + + Input(INT, "x") { description = "Input to be bit shifted" } + Input(INT, "y") { description = "Amount to shift elements of x array" } + + Output(INT, "output"){ description = "Bitwise shifted input x" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise left shift operation. Supports broadcasting. + """.trimIndent() + } + } + + Op("rightShift") { + javaPackage = namespaceJavaPackage + javaOpClass = "RShiftBits" + + Input(INT, "x") { description = "Input to be bit shifted" } + Input(INT, "y") { description = "Amount to shift elements of x array" } + + Output(INT, "output"){ description = "Bitwise shifted input x" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise right shift operation. Supports broadcasting. + """.trimIndent() + } + } + + Op("leftShiftCyclic") { + javaPackage = namespaceJavaPackage + javaOpClass = "CyclicShiftBits" + + Input(INT, "x") { description = "Input to be bit shifted" } + Input(INT, "y") { description = "Amount to shift elements of x array" } + + Output(INT, "output"){ description = "Bitwise cyclic shifted input x" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise left cyclical shift operation. Supports broadcasting. + Unlike #leftShift(%INPUT_TYPE%, %INPUT_TYPE%) the bits will "wrap around": + {@code leftShiftCyclic(01110000, 2) -> 11000001} + """.trimIndent() + } + } + + Op("rightShiftCyclic") { + javaPackage = namespaceJavaPackage + javaOpClass = "CyclicRShiftBits" + + Input(INT, "x") { description = "Input to be bit shifted" } + Input(INT, "y") { description = "Amount to shift elements of x array" } + + Output(INT, "output"){ description = "Bitwise cyclic shifted input x" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise right cyclical shift operation. Supports broadcasting. + Unlike rightShift(%INPUT_TYPE%, %INPUT_TYPE%) the bits will "wrap around": + {@code rightShiftCyclic(00001110, 2) -> 10000011} + """.trimIndent() + } + } + + Op("bitsHammingDistance") { + javaPackage = namespaceJavaPackage + javaOpClass = "BitsHammingDistance" + + val x = Input(INT, "x") { description = "First input array." } + val y = Input(INT, "y") { description = "Second input array." } + Constraint("Must be same types"){ sameType(x, y) } + + Output(INT, "output"){ description = "bitwise Hamming distance" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise Hamming distance reduction over all elements of both input arrays.
+ For example, if x=01100000 and y=1010000 then the bitwise Hamming distance is 2 (due to differences at positions 0 and 1) + """.trimIndent() + } + } + + Op("and") { + javaPackage = namespaceJavaPackage + javaOpClass = "BitwiseAnd" + + val x = Input(INT, "x") { description = "First input array" } + val y = Input(INT, "y") { description = "Second input array" } + Constraint("Must be same types"){ sameType(x, y) } + BackendConstraint("Must have broadcastable shapes"){ broadcastableShapes(x, y) } + + Output(INT, "output"){ description = "Bitwise AND array" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise AND operation. Supports broadcasting. + """.trimIndent() + } + } + + Op("or") { + javaPackage = namespaceJavaPackage + javaOpClass = "BitwiseOr" + + val x = Input(INT, "x") { description = "First input array" } + val y = Input(INT, "y") { description = "First input array" } + Constraint("Must be same types"){ sameType(x, y) } + BackendConstraint("Must have broadcastable shapes"){ broadcastableShapes(x, y) } + + Output(INT, "output"){ description = "Bitwise OR array" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise OR operation. Supports broadcasting. + """.trimIndent() + } + } + + Op("xor") { + javaPackage = namespaceJavaPackage + javaOpClass = "BitwiseXor" + + val x = Input(INT, "x") { description = "First input array" } + val y = Input(INT, "y") { description = "First input array" } + Constraint("Must be same types"){ sameType(x, y) } + BackendConstraint("Must have broadcastable shapes"){ broadcastableShapes(x, y) } + + Output(INT, "output"){ description = "Bitwise XOR array" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Bitwise XOR operation (exclusive OR). Supports broadcasting. + """.trimIndent() + } + } + + Op("bitShift") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "ShiftBits" + Input(INT, "x") { description = "Input 1" } + Input(INT, "shift") { description = "Number of bits to shift." } + Output(INT, "output"){ description = "SDVariable with shifted bits" } + Doc(Language.ANY, DocScope.ALL){ + """ + Shift integer bits to the left, i.e. var << 4 + """.trimIndent() + } + } + + Op("bitShiftRight") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "RShiftBits" + Input(INT, "x") { description = "Input 1" } + Input(INT, "shift") { description = "Number of bits to shift." } + Output(INT, "output"){ description = "SDVariable with shifted bits" } + Doc(Language.ANY, DocScope.ALL){ + """ + Shift integer bits to the right, i.e. var >> 4 + """.trimIndent() + } + } + + Op("bitRotl") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CyclicShiftBits" + Input(INT, "x") { description = "Input 1" } + Input(INT, "shift") { description = "Number of bits to shift." } + Output(INT, "output"){ description = "SDVariable with shifted bits" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Roll integer bits to the left, i.e. var << 4 | var >> (32 - 4) + """.trimIndent() + } + } + + Op("bitRotr") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CyclicRShiftBits" + Input(INT, "x") { description = "Input 1" } + Input(INT, "shift") { description = "Number of bits to shift." } + Output(INT, "output"){ description = "SDVariable with shifted bits" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Roll integer bits to the right, i.e. var >> 4 | var << (32 - 4) + """.trimIndent() + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/CNN.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/CNN.kt new file mode 100644 index 000000000..1684fd051 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/CNN.kt @@ -0,0 +1,586 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Exactly + +fun SDCNN() = Namespace("CNN"){ + val namespaceJavaPackage = "org.nd4j.linalg.api.ops.impl.layers.convolution" + + val dataFormat = Mixin("dataFormat"){ + Arg(ENUM, "dataFormat") { possibleValues = listOf("NCHW", "NHWC"); description = "Data format: \"NCHW\" or \"NHWC\"" } + } + + + val conv1DConfig = Config("Conv1DConfig"){ + Arg(LONG, "k"){ description = "Kernel"; defaultValue=-1L} + Arg(LONG, "s"){ description = "stride"; defaultValue=1} + Arg(LONG, "p"){ description = "padding"; defaultValue=0} + Arg(LONG, "d"){ description = "dilation"; defaultValue=1} + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=true} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="NCW"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig" + } + + val conv2DConfig = Config("Conv2DConfig"){ + Arg(LONG, "kH"){ description = "Kernel height"; defaultValue=-1L} + Arg(LONG, "kW"){ description = "Kernel width"; defaultValue=-1L} + Arg(LONG, "sH"){ description = "Stride along height dimension"; defaultValue=1}; + Arg(LONG, "sW"){ description = "Stride along width dimension"; defaultValue=1}; + Arg(LONG, "pH"){ description = "Padding along height dimension"; defaultValue=0}; + Arg(LONG, "pW"){ description = "Padding along width dimension"; defaultValue=0}; + Arg(LONG, "dH"){ description = "Dilation along height dimension"; defaultValue=1}; + Arg(LONG, "dW"){ description = "Dilation along width dimension"; defaultValue=1}; + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=true} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="NCHW"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig" + } + + val conv3DConfig = Config("Conv3DConfig"){ + Arg(LONG, "kD"){ description = "Kernel depth"; defaultValue=-1} + Arg(LONG, "kW"){ description = "Kernel width"; defaultValue=-1} + Arg(LONG, "kH"){ description = "Kernel height"; defaultValue=-1}; + Arg(LONG, "sD"){ description = "Stride depth"; defaultValue=1}; + Arg(LONG, "sW"){ description = "Stride width"; defaultValue=1}; + Arg(LONG, "sH"){ description = "Stride height"; defaultValue=1}; + Arg(LONG, "pD"){ description = "Padding depth"; defaultValue=0}; + Arg(LONG, "pW"){ description = "Padding width"; defaultValue=0}; + Arg(LONG, "pH"){ description = "Padding height"; defaultValue=0}; + Arg(LONG, "dD"){ description = "Dilation depth"; defaultValue=1}; + Arg(LONG, "dW"){ description = "Dilation width"; defaultValue=1}; + Arg(LONG, "dH"){ description = "Dilation height"; defaultValue=1}; + Arg(BOOL, "biasUsed"){ description = "biasUsed"; defaultValue=false} + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=true} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="NDHWC"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig" + } + + + val deconv2DConfig = Config("DeConv2DConfig"){ + Arg(LONG, "kH"){ description = "Kernel height"; defaultValue=-1L} + Arg(LONG, "kW"){ description = "Kernel width"; defaultValue=-1L} + Arg(LONG, "sH"){ description = "Stride along height dimension"; defaultValue=1L}; + Arg(LONG, "sW"){ description = "Stride along width dimension"; defaultValue=1L}; + Arg(LONG, "pH"){ description = "Padding along height dimension"; defaultValue=0}; + Arg(LONG, "pW"){ description = "Padding along width dimension"; defaultValue=0}; + Arg(LONG, "dH"){ description = "Dilation along height dimension"; defaultValue=1L}; + Arg(LONG, "dW"){ description = "Dilation along width dimension"; defaultValue=1L}; + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=false} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="NCHW"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig" + } + + + val deconv3DConfig = Config("DeConv3DConfig"){ + Arg(LONG, "kD"){ description = "Kernel depth"; defaultValue=-1L} + Arg(LONG, "kW"){ description = "Kernel width"; defaultValue=-1L} + Arg(LONG, "kH"){ description = "Kernel height"; defaultValue=-1L}; + Arg(LONG, "sD"){ description = "Stride depth"; defaultValue=1L}; + Arg(LONG, "sW"){ description = "Stride width"; defaultValue=1L}; + Arg(LONG, "sH"){ description = "Stride height"; defaultValue=1L}; + Arg(LONG, "pD"){ description = "Padding depth"; defaultValue=0}; + Arg(LONG, "pW"){ description = "Padding width"; defaultValue=0}; + Arg(LONG, "pH"){ description = "Padding height"; defaultValue=0}; + Arg(LONG, "dD"){ description = "Dilation depth"; defaultValue=1L}; + Arg(LONG, "dW"){ description = "Dilation width"; defaultValue=1L}; + Arg(LONG, "dH"){ description = "Dilation height"; defaultValue=1L}; + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=false} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="NCDHW"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv3DConfig" + } + + + + + val pooling2DConfig = Config("Pooling2DConfig"){ + Arg(LONG, "kH"){ description = "Kernel height"; defaultValue=-1} + Arg(LONG, "kW"){ description = "Kernel width"; defaultValue=-1} + Arg(LONG, "sH"){ description = "Stride along height dimension"; defaultValue=1}; + Arg(LONG, "sW"){ description = "Stride along width dimension"; defaultValue=1}; + Arg(LONG, "pH"){ description = "Padding along height dimension"; defaultValue=0}; + Arg(LONG, "pW"){ description = "Padding along width dimension"; defaultValue=0}; + Arg(LONG, "dH"){ description = "Dilation along height dimension"; defaultValue=1}; + Arg(LONG, "dW"){ description = "Dilation along width dimension"; defaultValue=1}; + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=true} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="nchw"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling2DConfig" + } + + val pooling3DConfig = Config("Pooling3DConfig"){ + Arg(LONG, "kD"){ description = "Kernel depth"; defaultValue=-1} + Arg(LONG, "kW"){ description = "Kernel width"; defaultValue=-1} + Arg(LONG, "kH"){ description = "Kernel height"; defaultValue=-1}; + Arg(LONG, "sD"){ description = "Stride depth"; defaultValue=1}; + Arg(LONG, "sW"){ description = "Stride width"; defaultValue=1}; + Arg(LONG, "sH"){ description = "Stride height"; defaultValue=1}; + Arg(LONG, "pD"){ description = "Padding depth"; defaultValue=0}; + Arg(LONG, "pW"){ description = "Padding width"; defaultValue=0}; + Arg(LONG, "pH"){ description = "Padding height"; defaultValue=0}; + Arg(LONG, "dD"){ description = "Dilation depth"; defaultValue=1}; + Arg(LONG, "dW"){ description = "Dilation width"; defaultValue=1}; + Arg(LONG, "dH"){ description = "Dilation height"; defaultValue=1}; + Arg(BOOL, "isSameMode"){ description = "Same mode"; defaultValue=true} + Arg(STRING, "dataFormat"){ description = "Data format"; defaultValue="NCDHW"} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling3DConfig" + } + + + val LocalResponseNormalizationConfig = Config("LocalResponseNormalizationConfig"){ + Arg(NUMERIC, "alpha"){ description = "alpha"; defaultValue=1} + Arg(NUMERIC, "beta"){ description = "beta"; defaultValue=0.5} + Arg(NUMERIC, "bias"){ description = "bias"; defaultValue=1} + Arg(INT, "depth"){ description = "depth"; defaultValue=5} + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig" + + + } + + + + + Op("avgPooling2d") { + javaPackage = namespaceJavaPackage + javaOpClass = "AvgPooling2D" + Input(NUMERIC, "input") { description = "the input to average pooling 2d operation - 4d CNN (image) activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + useConfig(pooling2DConfig) + + Output(NUMERIC, "output"){ description = "Result after applying average pooling on the input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D Convolution layer operation - average pooling 2d + """.trimIndent() + } + } + + Op("avgPooling3d") { + javaPackage = namespaceJavaPackage + javaOpClass = "AvgPooling3D" + Input(NUMERIC, "input") {description = "the input to average pooling 3d operation - 5d activations in NCDHW format (shape [minibatch, channels, depth, height, width]) or NDHWC format (shape [minibatch, depth, height, width, channels])" } + useConfig(pooling3DConfig) + + Output(NUMERIC, "output"){ description = "after applying average pooling on the input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 3D convolution layer operation - average pooling 3d + """.trimIndent() + } + } + + Op("batchToSpace") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "BatchToSpace" + Input(NUMERIC, "x") { description = "Input variable. 4d input" } + Arg(INT, "blocks") { count=Exactly(2); description = "Block size, in the height/width dimension" } + Arg(INT, "croppingTop") { count=Exactly(2)} + Arg(INT, "croppingBottom") { count=Exactly(2)} + Output(NUMERIC, "output"){ description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Convolution 2d layer batch to space operation on 4d input. + Reduces input batch dimension by rearranging data into a larger spatial dimensions + """.trimIndent() + } + } + + Op("col2Im") { + javaPackage = namespaceJavaPackage + javaOpClass = "Col2Im" + + Input(NUMERIC, "in") { description = "Input - rank 6 input with shape [minibatch, inputChannels, kernelHeight, kernelWidth, outputHeight, outputWidth]" } + useConfig(conv2DConfig) + + Output(NUMERIC, "output"){ description = "Col2Im output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + col2im operation for use in 2D convolution operations. Outputs a 4d array with shape + [minibatch, inputChannels, height, width] + """.trimIndent() + } + } + + + + Op("conv1d") { + javaPackage = namespaceJavaPackage + javaOpClass = "Conv1D" + Input(NUMERIC, "input") { description = "the inputs to conv1d" } + Input(NUMERIC, "weights") { description = "weights for conv1d op - rank 3 array with shape [kernelSize, inputChannels, outputChannels]" } + Input(NUMERIC, "bias") { description = "bias for conv1d op - rank 1 array with shape [outputChannels]. May be null."; defaultValue=null } + useConfig(conv1DConfig) + + Output(NUMERIC, "output"){ description = "result of conv1d op" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Conv1d operation. + """.trimIndent() + } + } + + + + Op("conv2d") { + javaPackage = namespaceJavaPackage + javaOpClass = "Conv2D" + Input(NUMERIC, "layerInput") { description = "the input to max pooling 2d operation - 4d CNN (image) activations in NCHW format" } + Input(NUMERIC, "weights") { description = "Weights for the convolution operation. 4 dimensions with format [kernelHeight, kernelWidth, inputChannels, outputChannels]" } + Input(NUMERIC, "bias") { description = "Optional 1D bias array with shape [outputChannels]. May be null."; defaultValue=null } + useConfig(conv2DConfig) + + Output(NUMERIC, "output"){ description = "result of conv2d op" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D Convolution operation with optional bias + """.trimIndent() + } + } + + + + + Op("conv3d") { + javaPackage = namespaceJavaPackage + javaOpClass = "Conv3D" + Input(NUMERIC, "input") { description = "the input to average pooling 3d operation - 5d activations in NCDHW format (shape [minibatch, channels, depth, height, width]) or NDHWC format (shape [minibatch, depth, height, width, channels])" } + Input(NUMERIC, "weights") { description = " Weights for conv3d. Rank 5 with shape [kernelDepth, kernelHeight, kernelWidth, inputChannels, outputChannels]." } + Input(NUMERIC, "bias") { description = " Optional 1D bias array with shape [outputChannels]. May be null."; defaultValue=null } + useConfig(conv3DConfig) + + Output(NUMERIC, "output"){ description = "Conv3d output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Convolution 3D operation with optional bias + """.trimIndent() + } + } + + + + Op("deconv2d") { + javaPackage = namespaceJavaPackage + javaOpClass = "DeConv2D" + Input(NUMERIC, "layerInput") { description = "the input to deconvolution 2d operation - 4d CNN (image) activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + Input(NUMERIC, "weights") { description = "Weights for the 2d deconvolution operation. 4 dimensions with format [inputChannels, outputChannels, kernelHeight, kernelWidth]" } + Input(NUMERIC, "bias") { description = "Optional 1D bias array with shape [outputChannels]. May be null."; defaultValue=null } + useConfig(deconv2DConfig) + Output(NUMERIC, "output"){ description = "result of deconv2d op" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D deconvolution operation with optional bias + """.trimIndent() + } + } + + + + + + Op("deconv3d") { + javaPackage = namespaceJavaPackage + javaOpClass = "DeConv3D" + Input(NUMERIC, "input") { description = "Input array - shape [bS, iD, iH, iW, iC] (NDHWC) or [bS, iC, iD, iH, iW] (NCDHW)" } + Input(NUMERIC, "weights") { description = "Weights array - shape [kD, kH, kW, oC, iC]" } + Input(NUMERIC, "bias") { description = "Bias array - optional, may be null. If non-null, must have shape [outputChannels]"; defaultValue=null } + useConfig(deconv3DConfig) + + Output(NUMERIC, "output"){ description = "result of 3D CNN deconvolution operation" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 3D CNN deconvolution operation with or without optional bias + """.trimIndent() + } + } + + Op("depthToSpace") { + javaPackage = namespaceJavaPackage + javaOpClass = "DepthToSpace" + Input(NUMERIC, "x") { description = "the input to depth to space pooling 2d operation - 4d activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + Arg(INT, "blockSize") { description = "Block size, in the height/width dimension" } + useMixin(dataFormat) + Output(NUMERIC, "output"){ description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Convolution 2d layer batch to space operation on 4d input.
+ Reduces input channels dimension by rearranging data into a larger spatial dimensions
+ Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] + = [mb, 2, 4, 4] + """.trimIndent() + } + } + + + Op("depthWiseConv2d") { + javaPackage = namespaceJavaPackage + javaOpClass = "DepthwiseConv2D" + Input(NUMERIC, "layerInput") { description = "the input to max pooling 2d operation - 4d CNN (image) activations in NCHW format" } + Input(NUMERIC, "depthWeights") { description = "Depth-wise conv2d weights. 4 dimensions with format [kernelHeight, kernelWidth, inputChannels, depthMultiplier]" } + Input(NUMERIC, "bias") { description = "Optional 1D bias array with shape [outputChannels]. May be null."; defaultValue=null } + useConfig(conv2DConfig) + + Output(NUMERIC, "output"){ description = "result of depthwise conv2d op" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Depth-wise 2D convolution operation with optional bias + """.trimIndent() + } + } + + + + Op("dilation2D") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "Dilation2D" + Input(NUMERIC, "df") { description = "" } + Input(NUMERIC, "weights") { description = "df" } + Arg(INT, "strides") { count = Exactly(2); description = "weights" } + Arg(INT, "rates") {count = Exactly(2); description = "strides" } + Arg(BOOL, "isSameMode") { description = "isSameMode" } + + Output(NUMERIC, "output"){ description = "Computed the grayscale dilation of 4-D input and 3-D filters tensors." } + + Doc(Language.ANY, DocScope.ALL){ + """ + TODO doc string + """.trimIndent() + } + } + + Op("extractImagePatches") { + javaPackage = "org.nd4j.linalg.api.ops.impl.image" + javaOpClass = "ExtractImagePatches" + Input(NUMERIC, "input") { description = "Input array. Must be rank 4, with shape [minibatch, height, width, channels]" } + Arg(INT, "kH") { description = "Kernel height" } + Arg(INT, "kW") { description = "Kernel width" } + Arg(INT, "sH") { description = "Stride height" } + Arg(INT, "sW") { description = "Stride width" } + Arg(INT, "rH") { description = "Rate height" } + Arg(INT, "rW") { description = "Rate width" } + Arg(BOOL, "sameMode") { description = "If true: use same mode padding. If false" } + + Output(NUMERIC, "output"){ description = "The result is a 4D tensor which is indexed by batch, row, and column." } + + Doc(Language.ANY, DocScope.ALL){ + """ + Extract image patches + """.trimIndent() + } + } + + Op("im2Col") { + javaPackage = namespaceJavaPackage + javaOpClass = "Im2col" + Input(NUMERIC, "in") { description = "Input - rank 4 input with shape [minibatch, inputChannels, height, width]" } + useConfig(conv2DConfig) + + Output(NUMERIC, "output"){ description = "Im2Col output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + im2col operation for use in 2D convolution operations. Outputs a 6d array with shape + [minibatch, inputChannels, kernelHeight, kernelWidth, outputHeight, outputWidth] + """.trimIndent() + } + } + + Op("localResponseNormalization") { + javaPackage = namespaceJavaPackage + javaOpClass = "LocalResponseNormalization" + Input(NUMERIC, "input") { description = "the inputs to lrn" } + useConfig(LocalResponseNormalizationConfig) + + Output(NUMERIC, "output"){ description = "Result after Local Response Normalization"} + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D convolution layer operation - local response normalization + """.trimIndent() + } + } + + Op("maxPooling2d") { + javaPackage = namespaceJavaPackage + javaOpClass = "MaxPooling2D" + Input(NUMERIC, "input") { description = "the input to max pooling 2d operation - 4d CNN (image) activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + useConfig(pooling2DConfig) + + Output(NUMERIC, "output"){ description = "Result after applying max pooling on the input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D Convolution layer operation - max pooling 2d + """.trimIndent() + } + } + + Op("maxPoolWithArgmax") { + javaPackage = namespaceJavaPackage + javaOpClass = "MaxPoolWithArgmax" + Input(NUMERIC, "input") { description = "the input to max pooling 2d operation - 4d CNN (image) activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + useConfig(pooling2DConfig) + + Output(NUMERIC, "output"){ description = "Result after applying max pooling on the input" } + Output(NUMERIC, "indexes"){ description = "Argmax array" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D Convolution layer operation - Max pooling on the input and outputs both max values and indices + """.trimIndent() + } + } + + Op("maxPooling3d") { + javaPackage = namespaceJavaPackage + javaOpClass = "MaxPooling3D" + Input(NUMERIC, "input") { description = "the input to average pooling 3d operation - 5d activations in NCDHW format (shape [minibatch, channels, depth, height, width]) or NDHWC format (shape [minibatch, depth, height, width, channels])" } + useConfig(pooling3DConfig) + + Output(NUMERIC, "output"){ description = "Result after applying max pooling on the input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 3D convolution layer operation - max pooling 3d operation. + """.trimIndent() + } + } + + + + Op("separableConv2d") { + javaPackage = "org.nd4j.linalg.api.ops.impl.layers.convolution" + javaOpClass = "SConv2D" + Input(NUMERIC, "layerInput") { description = "the input to max pooling 2d operation - 4d CNN (image) activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + Input(NUMERIC, "depthWeights") { description = "Separable conv2d depth weights. 4 dimensions with format [kernelHeight, kernelWidth, inputChannels, depthMultiplier]" } + Input(NUMERIC, "pointWeights") { description = "Point weights, rank 4 with format [1, 1, inputChannels*depthMultiplier, outputChannels]. May be null" } + Input(NUMERIC, "bias") { description = "Optional bias, rank 1 with shape [outputChannels]. May be null."; defaultValue=null} + useConfig(conv2DConfig) + + Output(NUMERIC, "output"){ description = "result of separable convolution 2d operation" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Separable 2D convolution operation with optional bias + """.trimIndent() + } + } + + + + Op("spaceToBatch") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "SpaceToBatch" + Input(NUMERIC, "x") { description = "Input variable. 4d input" } + Arg(INT, "blocks") { count = Exactly(2); description = "Block size, in the height/width dimension" } + Arg(INT, "paddingTop") {count = Exactly(2); description = "Optional 2d int[] array for padding the result: values [[pad top, pad bottom], [pad left, pad right]]" } + Arg(INT, "paddingBottom") {count = Exactly(2); description = "Optional 2d int[] array for padding the result: values [[pad top, pad bottom], [pad left, pad right]]" } + + Output(NUMERIC, "output"){ description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Convolution 2d layer space to batch operation on 4d input. + Increases input batch dimension by rearranging data from spatial dimensions into batch dimension + """.trimIndent() + } + } + + Op("spaceToDepth") { + javaPackage = namespaceJavaPackage + Input(NUMERIC, "x") { description = "the input to depth to space pooling 2d operation - 4d activations in NCHW format (shape [minibatch, channels, height, width]) or NHWC format (shape [minibatch, height, width, channels])" } + Arg(INT, "blockSize") { description = " Block size, in the height/width dimension" } + useMixin(dataFormat) + Output(NUMERIC, "output"){ description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Convolution 2d layer space to depth operation on 4d input.
+ Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension
+ Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] + = [mb, 2, 4, 4] + """.trimIndent() + } + } + + Op("upsampling2d") { + javaPackage = namespaceJavaPackage + Input(NUMERIC, "input") { description = "Input in NCHW format" } + Arg(INT, "scale") { description = "The scale for both height and width dimensions." } + + Output(NUMERIC, "output"){ description = "Upsampled input"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Upsampling layer for 2D inputs. + scale is used for both height and width dimensions. + """.trimIndent() + } + } + + Op("upsampling2d") { + javaPackage = namespaceJavaPackage + Input(NUMERIC, "input") { description = "Input in NCHW format" } + Arg(INT, "scaleH") { description = "Scale to upsample in height dimension" } + Arg(INT, "scaleW") { description = "Scale to upsample in width dimension" } + Arg(BOOL ,"nchw") { description = "If true: input is in NCHW (minibatch, channels, height, width) format. False: NHWC format" } + + + Output(NUMERIC, "output"){ description = "Upsampled input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 2D Convolution layer operation - Upsampling 2d + """.trimIndent() + } + } + + Op("upsampling3d") { + javaPackage = namespaceJavaPackage + javaOpClass = "Upsampling3d" + Input(NUMERIC, "input") { description = "Input in NCHW format" } + Arg(BOOL ,"ncdhw") { description = "If true: input is in NCDHW (minibatch, channels, depth, height, width) format. False: NDHWC format" } + Arg(INT, "scaleD") { description = "Scale to upsample in depth dimension" } + Arg(INT, "scaleH") { description = "Scale to upsample in height dimension" } + Arg(INT, "scaleW") { description = "Scale to upsample in width dimension" } + + + Output(NUMERIC, "output"){ description = "Upsampled input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + 3D Convolution layer operation - Upsampling 3d + """.trimIndent() + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Image.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Image.kt new file mode 100644 index 000000000..78d21cc3f --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Image.kt @@ -0,0 +1,262 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Exactly + + +fun SDImage() = Namespace("Image"){ + val namespaceJavaPackage = "org.nd4j.linalg.api.ops.custom" + Op("CropAndResize") { + javaPackage = "org.nd4j.linalg.api.ops.impl.image" + javaOpClass = "CropAndResize" + Input(NUMERIC, "image") { description = "Input image, with shape [batch, height, width, channels]" } + Input(NUMERIC, "cropBoxes") { description = "Float32 crop, shape [numBoxes, 4] with values in range 0 to 1" } + Input(NUMERIC, "boxIndices") { description = "Indices: which image (index to dimension 0) the cropBoxes belong to. Rank 1, shape [numBoxes]" } + Input(INT, "cropOutSize") { description = "Output size for the images - int32, rank 1 with values [outHeight, outWidth]" } + Arg(NUMERIC, "extrapolationValue") { description = "Used for extrapolation, when applicable. 0.0 should be used for the default"; defaultValue=0.0 } + + Output(NUMERIC, "output"){ description = "Cropped and resized images" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size. + """.trimIndent() + } + } + + Op("extractImagePatches") { + javaPackage = "org.nd4j.linalg.api.ops.impl.image" + javaOpClass = "ExtractImagePatches" + Input(NUMERIC, "image") { description = "Input image to extract image patches from - shape [batch, height, width, channels]" } + Arg(INT, "kSizes") { count = Exactly(2); description = "Kernel size - size of the image patches, [height, width]" } + Arg(INT, "strides") { count = Exactly(2);description = "Stride in the input dimension for extracting image patches, [stride_height, stride_width]" } + Arg(INT, "rates") { count = AtLeast(0); description = "Usually [1,1]. Equivalent to dilation rate in dilated convolutions - how far apart the output pixels\n" + + " in the patches should be, in the input. A dilation of [a,b] means every {@code a}th pixel is taken\n" + + " along the height/rows dimension, and every {@code b}th pixel is take along the width/columns dimension" } + Arg(BOOL, "sameMode") { description = "Padding algorithm. If true: use Same padding" } + + Output(NUMERIC, "output"){ description = "The extracted image patches" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Given an input image, extract out image patches (of size kSizes - h x w) and place them in the depth dimension. + """.trimIndent() + } + } + + Op("nonMaxSuppression") { + javaPackage = "org.nd4j.linalg.api.ops.impl.image" + javaOpClass = "NonMaxSuppression" + Input(NUMERIC, "boxes") { description = "Might be null. Name for the output variable" } + Input(NUMERIC, "scores") { description = "vector of shape [num_boxes]" } + Arg(INT, "maxOutSize") { description = "scalar representing the maximum number of boxes to be selected" } + Arg(NUMERIC, "iouThreshold") { description = "threshold for deciding whether boxes overlap too much with respect to IOU" } + Arg(NUMERIC, "scoreThreshold") { description = "threshold for deciding when to remove boxes based on score" } + + Output(NUMERIC, "output"){ description = "vectort of shape [M] representing the selected indices from the boxes tensor, where M <= max_output_size" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Greedily selects a subset of bounding boxes in descending order of score + """.trimIndent() + } + } + + Op("adjustContrast") { + javaPackage = namespaceJavaPackage + javaOpClass = "AdjustContrast" + Input(NUMERIC, "in") { description = "images to adjust. 3D shape or higher" } + Arg(FLOATING_POINT, "factor") { description = "multiplier for adjusting contrast" } + + Output(NUMERIC, "output"){ description = "Contrast-adjusted image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Adjusts contrast of RGB or grayscale images. + """.trimIndent() + } + } + + Op("adjustSaturation") { + javaPackage = namespaceJavaPackage + javaOpClass = "AdjustSaturation" + Input(NUMERIC, "in") { description = "RGB image as 3D array" } + Arg(FLOATING_POINT, "factor") { description = "factor for saturation" } + + Output(NUMERIC, "output"){ description = "adjusted image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Adjust saturation of RGB images + """.trimIndent() + } + } + + Op("adjustHue") { + javaPackage = namespaceJavaPackage + javaOpClass = "AdjustHue" + Input(NUMERIC, "in") { description = "image as 3D array" } + Arg(NUMERIC, "delta") { description = "value to add to hue channel" } + + Output(NUMERIC, "output"){ description = "adjusted image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Adjust hue of RGB image + """.trimIndent() + } + } + + Op("randomCrop") { + javaPackage = namespaceJavaPackage + javaOpClass = "RandomCrop" + Input(NUMERIC, "input") { description = "input array" } + Input(INT, "shape") { description = "shape for crop" } + + Output(NUMERIC, "output"){ description = "cropped array" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Randomly crops image + """.trimIndent() + } + } + + Op("rgbToHsv") { + javaPackage = namespaceJavaPackage + javaOpClass = "RgbToHsv" + Input(NUMERIC, "input") { description = "3D image" } + + Output(NUMERIC, "output"){ description = "3D image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Converting array from HSV to RGB format + """.trimIndent() + } + } + + Op("hsvToRgb") { + javaPackage = namespaceJavaPackage + javaOpClass = "HsvToRgb" + Input(NUMERIC, "input") { description = "3D image" } + + Output(NUMERIC, "output"){ description = "3D image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Converting image from HSV to RGB format + """.trimIndent() + } + } + + Op("rgbToYiq") { + javaPackage = namespaceJavaPackage + javaOpClass = "RgbToYiq" + Input(NUMERIC, "input") { description = "3D image" } + + Output(NUMERIC, "output"){ description = "3D image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Converting array from RGB to YIQ format + """.trimIndent() + } + } + + Op("yiqToRgb") { + javaPackage = namespaceJavaPackage + javaOpClass = "YiqToRgb" + Input(NUMERIC, "input") { description = "3D image" } + + Output(NUMERIC, "output"){ description = "3D image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Converting image from YIQ to RGB format + """.trimIndent() + } + } + + Op("rgbToYuv") { + javaPackage = namespaceJavaPackage + javaOpClass = "RgbToYuv" + + Input(NUMERIC, "input") { description = "3D image" } + + Output(NUMERIC, "output"){ description = "3D image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Converting array from RGB to YUV format + """.trimIndent() + } + } + + Op("yuvToRgb") { + javaPackage = namespaceJavaPackage + javaOpClass = "YuvToRgb" + + Input(NUMERIC, "input") { description = "3D image" } + + Output(NUMERIC, "output"){ description = "3D image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Converting image from YUV to RGB format + """.trimIndent() + } + } + + Op("imageResize") { + javaPackage = "org.nd4j.linalg.api.ops.impl.image" + javaOpClass = "ImageResize" + + Input(NUMERIC, "input") { description = "4D image [NHWC]" } + Input(INT, "size") { description = "new height and width" } + Arg(BOOL, "preserveAspectRatio") { description = "Whether to preserve the aspect ratio." + + " If this is set, then images will be resized to a size that fits in size while preserving the aspect ratio" + + " of the original image. Scales up the image if size is bigger than the current size of the image. Defaults to False."; defaultValue=false; } + Arg(BOOL, "antialis") { description = "Whether to use an anti-aliasing filter when downsampling an image"; defaultValue=false; } + Arg(ENUM, "ImageResizeMethod") { possibleValues = listOf( "ResizeBilinear", "ResizeBicubic", "ResizeNearest", "ResizeGaussian", + "ResizeLanczos5", "ResizeMitchelcubic", "ResizeArea"); description = "ResizeBilinear: Bilinear interpolation. If 'antialias' is true, becomes a hat/tent filter function with radius 1 when downsampling.\n" + + "ResizeLanczos5: Lanczos kernel with radius 5. Very-high-quality filter but may have stronger ringing.\n" + + "ResizeBicubic: Cubic interpolant of Keys. Equivalent to Catmull-Rom kernel. Reasonably good quality and faster than Lanczos3Kernel, particularly when upsampling.\n" + + "ResizeGaussian: Gaussian kernel with radius 3, sigma = 1.5 / 3.0.\n" + + "ResizeNearest: Nearest neighbor interpolation. 'antialias' has no effect when used with nearest neighbor interpolation.\n" + + "ResizeArea: Anti-aliased resampling with area interpolation. 'antialias' has no effect when used with area interpolation; it always anti-aliases.\n" + + "ResizeMitchelcubic: Mitchell-Netravali Cubic non-interpolating filter. For synthetic images (especially those lacking proper prefiltering), less ringing than Keys cubic kernel but less sharp." } + + Output(NUMERIC, "output"){ description = "Output image" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Resize images to size using the specified method. + """.trimIndent() + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Linalg.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Linalg.kt new file mode 100644 index 000000000..c4b9c0a0a --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Linalg.kt @@ -0,0 +1,268 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.DataType +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.api.Range + + +fun Linalg() = Namespace("Linalg") { + //val namespaceJavaPackage = "org.nd4j.linalg" + + Op("Cholesky") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms" + javaOpClass = "Cholesky" + Input(DataType.NUMERIC, "input") { description = "Input tensor with inner-most 2 dimensions forming square matrices" } + Output(DataType.NUMERIC, "output"){ description = "Transformed tensor" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Computes the Cholesky decomposition of one or more square matrices. + """.trimIndent() + } + } + + Op("Lstsq") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "Lstsq" + + Input(DataType.NUMERIC, "matrix") {description = "input tensor"} + Input(DataType.NUMERIC, "rhs") {description = "input tensor"} + Arg(DataType.FLOATING_POINT, "l2_reguralizer") {description = "regularizer"} + Arg(DataType.BOOL, "fast") {description = "fast mode, defaults to True"; defaultValue = true} + Output(DataType.FLOATING_POINT, "output"){ description = "Transformed tensor" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Solver for linear squares problems. + """.trimIndent() + } + } + + Op("Solve") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "LinearSolve" + + Input(DataType.NUMERIC, "matrix") {description = "input tensor"} + Input(DataType.NUMERIC, "rhs") {description = "input tensor"} + Arg(DataType.BOOL, "adjoint") {description = "adjoint mode, defaults to False"; defaultValue = false} + Output(FLOATING_POINT, "output"){ description = "Output tensor" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Solver for systems of linear equations. + """.trimIndent() + } + } + + Op("TriangularSolve") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "TriangularSolve" + + Input(DataType.NUMERIC, "matrix") {description = "input tensor"} + Input(DataType.NUMERIC, "rhs") {description = "input tensor"} + Arg(DataType.BOOL, "lower") {description = "defines whether innermost matrices in matrix are lower or upper triangular"} + Arg(DataType.BOOL, "adjoint") {description = "adjoint mode"} + Output(DataType.FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Solver for systems of linear questions. + """.trimIndent() + } + } + + Op("Lu") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "Lu" + + Input(DataType.NUMERIC, "input") {description = "input tensor"} + Output(FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Computes LU decomposition. + """.trimIndent() + } + } + + Op("Matmul") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + javaOpClass = "Mmul" + + Input(DataType.NUMERIC, "a") {description = "input tensor"} + Input(DataType.NUMERIC, "b") {description = "input tensor"} + Output(DataType.FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Performs matrix mutiplication on input tensors. + """.trimIndent() + } + } + + Op("Qr") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "Qr" + + Input(DataType.NUMERIC, "input") {description = "input tensor"} + Arg(DataType.BOOL, "full") {description = "full matrices mode"; defaultValue = false} + Output(FLOATING_POINT, "outputQ") + Output(FLOATING_POINT, "outputR") + + Doc(Language.ANY, DocScope.ALL){ + """ + Computes the QR decompositions of input matrix. + """.trimIndent() + } + } + + Op("MatrixBandPart") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "MatrixBandPart" + + Input(DataType.NUMERIC, "input") { description = "input tensor" } + Arg(DataType.INT, "minLower") { description = "lower diagonal count" } + Arg(DataType.INT, "maxUpper") { description = "upper diagonal count" } + Output(DataType.FLOATING_POINT, "output1") + Output(DataType.FLOATING_POINT, "output2") + + Doc(Language.ANY, DocScope.ALL){ + """ + Copy a tensor setting outside a central band in each innermost matrix. + """.trimIndent() + } + } + + Op("cross") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "Cross" + + Input(DataType.NUMERIC, "a") {"Input tensor a"} + Input(DataType.NUMERIC, "b") {"Input tensor b"} + Output(FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Computes pairwise cross product. + """.trimIndent() + } + } + + Op("diag") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "Diag" + + Input(DataType.NUMERIC, "input") {"Input tensor"} + Output(DataType.FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Calculates diagonal tensor. + """.trimIndent() + } + } + + Op("diag_part") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "DiagPart" + + Input(DataType.NUMERIC, "input") {"Input tensor"} + Output(DataType.FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Calculates diagonal tensor. + """.trimIndent() + } + } + + Op("logdet") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "Logdet" + + Input(DataType.NUMERIC, "input") {"Input tensor"} + Output(FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Calculates log of determinant. + """.trimIndent() + } + } + + Op("svd") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "Svd" + + Input(DataType.NUMERIC, "input") {"Input tensor"} + Arg(DataType.BOOL, "fullUV") {"Full matrices mode"} + Arg(DataType.BOOL, "computeUV") {"Compute U and V"} + Arg(DataType.INT, "switchNum") {"Switch number"; defaultValue = 16} + Output(FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Calculates singular value decomposition. + """.trimIndent() + } + } + + Op("tri") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "Tri" + + Arg(DATA_TYPE, "dataType") { description = "Data type"; defaultValue = org.nd4j.linalg.api.buffer.DataType.FLOAT } + Arg(INT, "row") {"Number of rows in the array"; } + Arg(INT, "column") {"Number of columns in the array"; } + Arg(INT, "diagonal") {"The sub-diagonal at and below which the array is filled. k = 0 is the main diagonal, while k < 0 is below it, and k > 0 is above. The default is 0."; defaultValue = 0} + + + Output(FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + An array with ones at and below the given diagonal and zeros elsewhere. + """.trimIndent() + } + } + + Op("triu") { + javaPackage = "org.nd4j.linalg.api.ops.custom" + javaOpClass = "Triu" + Input(DataType.NUMERIC, "input") {"Input tensor"} + Arg(DataType.INT, "diag") {"diagonal"; defaultValue = 0} + + Output(FLOATING_POINT, "output") + + Doc(Language.ANY, DocScope.ALL){ + """ + Upper triangle of an array. Return a copy of a input tensor with the elements below the k-th diagonal zeroed. + """.trimIndent() + } + } + + Alias(SDBaseOps(), "mmul") +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Math.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Math.kt new file mode 100644 index 000000000..a15c01554 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Math.kt @@ -0,0 +1,1388 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +/** + * Generated using ExtractFromExisting.kt + */ +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.DataType +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.mixins.* + + +fun Math() = Namespace("Math"){ + Op("abs", transformSame) { + javaOpClass = "Abs" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise absolute value operation: out = abs(x) + """.trimIndent() + } + } + + Op("acos", transformStrict) { + javaOpClass = "ACos" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x) + """.trimIndent() + } + } + + Op("acosh", transformStrict) { + javaOpClass = "ACosh" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x) + """.trimIndent() + } + } + + Op("add", transformArithmetic){ + javaOpClass = "AddOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise addition operation, out = x + y + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("add", scalar){ + javaOpClass = "ScalarAdd" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar add operation, out = in + scalar + """.trimIndent() + } + } + + + // TODO should we call these "reduceAMax", "reduceAMean", "reduceMin" etc? + // TODO: There are 2 implementations of amax in org.nd4j.linalg.api.ops.impl + Op("amax", reduceSame) { + javaOpClass = "AMax" + Doc(Language.ANY, DocScope.ALL){ + """ + Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x)) + """.trimIndent() + } + } + + Op("amean", reduceFloating) { + javaOpClass = "AMean" + Doc(Language.ANY, DocScope.ALL){ + """ + Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x)) + """.trimIndent() + } + } + + // TODO: There are 2 implementations of amax in org.nd4j.linalg.api.ops.impl + Op("amin", reduceSame) { + javaOpClass = "AMin" + Doc(Language.ANY, DocScope.ALL){ + """ + Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x)) + """.trimIndent() + } + } + + Op("and") { + legacy = true + javaOpClass = "And" + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool" + Input(BOOL, "x") { description = "Input 1" } + Input(BOOL, "y") { description = "Input 2" } + Output(BOOL, "output"){ description = "%INPUT_TYPE% with values 0 and 1 based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Boolean AND operation: elementwise (x != 0) && (y != 0) + If x and y arrays have equal shape, the output shape is the same as these inputs. + Note: supports broadcasting if x and y have different shapes and are broadcastable. + Returns an array with values 1 where condition is satisfied, or value 0 otherwise. + """.trimIndent() + } + } + + Op("asin", transformStrict) { + javaOpClass = "ASin" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x) + """.trimIndent() + } + } + + // TODO: There are 2 implementations + Op("asinh", transformStrict) { + javaOpClass = "ASinh" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x) + """.trimIndent() + } + } + + Op("asum", reduceSame) { + javaOpClass = "ASum" + Doc(Language.ANY, DocScope.ALL){ + """ + Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x)) + """.trimIndent() + } + } + + Op("atan", transformStrict) { + javaOpClass = "ATan" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x) + """.trimIndent() + } + } + + Op("atan2") {// TODO: We need to generate a constructor that includes SameDiff(). + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "ATan2" + Input(NUMERIC, "y") { description = "Input Y variable" } + Input(NUMERIC, "x") { description = "Input X variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y). + Similar to atan(y/x) but sigts of x and y are used to determine the location of the result + """.trimIndent() + } + } + + Op("atanh", transformStrict) { + javaOpClass = "ATanh" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x) + """.trimIndent() + } + } + + Op("ceil", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise ceiling function: out = ceil(x). + Rounds each value up to the nearest integer value (if not already an integer) + """.trimIndent() + } + } + + Op("clipByNorm") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.clip" + val x = Input(NUMERIC, "x") { description = "Input variable" } + val clipValue = Arg(NUMERIC, "clipValue") { description = "Clipping value (maximum l2 norm)" } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed"} //; defaultValue = intArrayOf(0) } //TODO + Output(NUMERIC, "output"){ description = "Output variable" } + +// AllParamSignature(withOutput = false) +// Signature(x, clipValue) + Doc(Language.ANY, DocScope.ALL){ + """ + Clipping by L2 norm, optionally along dimension(s) + if l2Norm(x,dimension) < clipValue, then input is returned unmodifed + Otherwise, out[i] = in[i] * clipValue / l2Norm(in, dimensions) where each value is clipped according + to the corresponding l2Norm along the specified dimensions + """.trimIndent() + } + } + + Op("clipByValue") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.clip" + javaOpClass = "ClipByValue" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(NUMERIC, "clipValueMin") { description = "Minimum value for clipping" } + Arg(NUMERIC, "clipValueMax") { description = "Maximum value for clipping" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise clipping function: + out[i] = in[i] if in[i] >= clipValueMin and in[i] <= clipValueMax + out[i] = clipValueMin if in[i] < clipValueMin + out[i] = clipValueMax if in[i] > clipValueMax + """.trimIndent() + } + } + + + Op("ClipByAvgNorm") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.clip" + javaOpClass = "ClipByAvgNorm" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(NUMERIC, "clipValue") { description = "Value for clipping" } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over"} + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Clips tensor values to a maximum average L2-norm. + """.trimIndent() + } + } + + //TODO consolidate these confusionMatrix ops into one? + Op("confusionMatrix") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "labels") { description = "Labels - 1D array of integer values representing label values" } + Input(NUMERIC, "pred") { description = "Predictions - 1D array of integer values representing predictions. Same length as labels" } + Arg(DATA_TYPE, "dataType") { description = "Data type" } + + Output(NUMERIC, "output"){ description = "variable (2D, shape [numClasses, numClasses})" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of + which are represented as integer values. This version assumes the number of classes is 1 + max(max(labels), max(pred)) + For example, if labels = [0, 1, 1] and predicted = [0, 2, 1] then output is: + [1, 0, 0] + [0, 1, 1] + [0, 0, 0] + """.trimIndent() + } + } + + Op("confusionMatrix") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "labels") { description = "Labels - 1D array of integer values representing label values" } + Input(NUMERIC, "pred") { description = "Predictions - 1D array of integer values representing predictions. Same length as labels" } + Arg(INT, "numClasses") { description = "Number of classes" } + Output(NUMERIC, "output"){ description = "variable (2D, shape [numClasses, numClasses})" } + Doc(Language.ANY, DocScope.ALL){ + """ + Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of + which are represented as integer values. + For example, if labels = [0, 1, 1], predicted = [0, 2, 1], and numClasses=4 then output is: + [1, 0, 0, 0] + [0, 1, 1, 0] + [0, 0, 0, 0] + [0, 0, 0, 0] + """.trimIndent() + } + } + + Op("confusionMatrix") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "labels") { description = "Labels - 1D array of integer values representing label values" } + Input(NUMERIC, "pred") { description = "Predictions - 1D array of integer values representing predictions. Same length as labels" } + Input(NUMERIC, "weights") { description = "Weights - 1D array of values (may be real/decimal) representing the weight/contribution of each prediction. Must be same length as both labels and predictions arrays" } + Output(NUMERIC, "output"){ description = "variable (2D, shape [numClasses, numClasses})" } + Doc(Language.ANY, DocScope.ALL){ + """ + Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of + which are represented as integer values. This version assumes the number of classes is 1 + max(max(labels), max(pred)) + For example, if labels = [0, 1, 1], predicted = [0, 2, 1] and weights = [1, 2, 3] + [1, 0, 0] + [0, 3, 2] + [0, 0, 0] + """.trimIndent() + } + } + + Op("confusionMatrix") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "labels") { description = "Labels - 1D array of integer values representing label values" } + Input(NUMERIC, "pred") { description = "Predictions - 1D array of integer values representing predictions. Same length as labels" } + Arg(INT, "numClasses") { description = "" } + Input(NUMERIC, "weights") { description = "Weights - 1D array of values (may be real/decimal) representing the weight/contribution of each prediction. Must be same length as both labels and predictions arrays" } + Output(NUMERIC, "output"){ description = "Output variable (2D, shape [numClasses, numClasses})" } + Doc(Language.ANY, DocScope.ALL){ + """ + Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of + which are represented as integer values. + For example, if labels = [0, 1, 1], predicted = [0, 2, 1], numClasses = 4, and weights = [1, 2, 3] + [1, 0, 0, 0] + [0, 3, 2, 0] + [0, 0, 0, 0] + [0, 0, 0, 0] + """.trimIndent() + } + } + + Op("cos", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise cosine operation: out = cos(x) + """.trimIndent() + } + } + + Op("cosh", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise cosh (hyperbolic cosine) operation: out = cosh(x) + """.trimIndent() + } + } + + Op("cosineDistance", reduce3) { + Doc(Language.ANY, DocScope.ALL){ + """ + Cosine distance reduction operation. The output contains the cosine distance for each + tensor/subset along the specified dimensions: + out = 1.0 - cosineSimilarity(x,y) + """.trimIndent() + } + } + + Op("cosineSimilarity", reduce3) { + Doc(Language.ANY, DocScope.ALL){ + """ + Cosine similarity pairwise reduction operation. The output contains the cosine similarity for each tensor/subset + along the specified dimensions: + out = (sum_i x[i] * y[i]) / ( sqrt(sum_i x[i]^2) * sqrt(sum_i y[i]^2) + """.trimIndent() + } + } + + Op("countNonZero", reduceLong) { + Doc(Language.ANY, DocScope.ALL){ + """ + Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0) + """.trimIndent() + } + } + + Op("countZero", reduceLong) { + Doc(Language.ANY, DocScope.ALL){ + """ + Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0) + """.trimIndent() + } + } + + Op("cross") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "a") { description = "First input" } + Input(NUMERIC, "b") { description = "Second input" } + Output(NUMERIC, "output"){ description = "Element-wise cross product" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns the pair-wise cross product of equal size arrays a and b: a x b = ||a||x||b|| sin(theta). + Can take rank 1 or above inputs (of equal shapes), but note that the last dimension must have dimension 3 + """.trimIndent() + } + } + + Op("cube", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise cube function: out = x^3 + """.trimIndent() + } + } + + Op("diag") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns an output variable with diagonal values equal to the specified values; off-diagonal values will be set to 0 + For example, if input = [1,2,3], then output is given by: + [ 1, 0, 0] + [ 0, 2, 0] + [ 0, 0, 3] + + Higher input ranks are also supported: if input has shape [a,...,R-1] then output[i,...,k,i,...,k] = input[i,...,k]. + i.e., for input rank R, output has rank 2R + """.trimIndent() + } + } + + Op("diagPart") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Diagonal part of the input" } + Doc(Language.ANY, DocScope.ALL){ + """ + Extract the diagonal part from the input array. + If input is + [ 1, 0, 0] + [ 0, 2, 0] + [ 0, 0, 3] + then output is [1, 2, 3]. + Supports higher dimensions: in general, out[i,...,k] = in[i,...,k,i,...,k] + """.trimIndent() + } + } + + Op("div", transformArithmetic){ + javaOpClass = "DivOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise division operation, out = x / y + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("div", scalar){ + javaOpClass = "ScalarDivision" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar division operation, out = in / scalar + """.trimIndent() + } + } + + Op("entropy", reduceFloating) { + Doc(Language.ANY, DocScope.ALL){ + """ + Entropy reduction: -sum(x * log(x)) + """.trimIndent() + } + } + + Op("erf", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise Gaussian error function - out = erf(in) + """.trimIndent() + } + } + + Op("erfc", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise complementary Gaussian error function - out = erfc(in) = 1 - erf(in) + """.trimIndent() + } + } + + Op("euclideanDistance", reduce3) { + Doc(Language.ANY, DocScope.ALL){ + """ + Euclidean distance (l2 norm, l2 distance) reduction operation. The output contains the Euclidean distance for each + tensor/subset along the specified dimensions: + out = sqrt( sum_i (x[i] - y[i])^2 ) + """.trimIndent() + } + } + + Op("exp", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise exponent function: out = exp(x) = 2.71828...^x + """.trimIndent() + } + } + + Op("expm1", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise 1.0 - exponent function: out = 1.0 - exp(x) = 1.0 - 2.71828...^x + """.trimIndent() + } + } + + //TODO consolidate eye ops into one and use different signatures? + Op("eye") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Arg(INT, "rows") { description = "Number of rows" } + Output(NUMERIC, "output"){ description = "Identity matrix" } + Doc(Language.ANY, DocScope.ALL){ + """ + Generate an identity matrix with the specified number of rows and columns. + """.trimIndent() + } + } + + Op("eye") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Arg(INT, "rows") { description = "Number of rows" } + Arg(INT, "cols") { description = "Number of columns" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + As per eye(String, int, int, DataType) but with the default datatype, Eye.DEFAULT_DTYPE + """.trimIndent() + } + } + + Op("eye") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Arg(INT, "rows") { description = "Number of rows" } + Arg(INT, "cols") { description = "Number of columns" } + Arg(DATA_TYPE, "dataType") { description = "Data type" } //TODO: Mapped DataType to INT. + Arg(DataType.INT, "dimensions"){ count = AtLeast(0)} + Output(NUMERIC, "output"){ description = "Identity matrix" } + Doc(Language.ANY, DocScope.ALL){ + """ + Generate an identity matrix with the specified number of rows and columns + Example: + 
+                {@code %INPUT_TYPE% eye = eye(3,2)
+                eye:
+                [ 1, 0]
+                [ 0, 1]
+                [ 0, 0]}
+
+ """.trimIndent() + } + } + + Op("eye") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(INT, "rows") { description = "Number of rows" } + Input(INT, "cols") { description = "Number of columns" } + Output(NUMERIC, "output"){ description = "Identity matrix" } + Doc(Language.ANY, DocScope.ALL){ + """ + As per eye(int, int) bit with the number of rows/columns specified as scalar %INPUT_TYPE%s + """.trimIndent() + } + } + + Op("eye") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(INT, "rows") { description = "Number of rows" } + Output(NUMERIC, "output"){ description = "SDVaribable identity matrix" } + Doc(Language.ANY, DocScope.ALL){ + """ + As per eye(String, int) but with the number of rows specified as a scalar %INPUT_TYPE% + """.trimIndent() + } + } + + Op("firstIndex", indexAccum, keepSignatures=false) { + var c = Arg(CONDITION, "condition") { description = "Condition to check on input variable" } + Signature(this.inputs.get(0), c, this.args.get(1)) //in, condition, dimensions - for vararg + Signature(this.inputs.get(0), c, this.args.get(0), this.args.get(1)) //in, condition, keepDims, dimensions + + Doc(Language.ANY, DocScope.ALL){ + """ + First index reduction operation. + Returns a variable that contains the index of the first element that matches the specified condition (for each + slice along the specified dimensions) + Note that if keepDims = true, the output variable has the same rank as the input variable, + with the reduced dimensions having size 1. This can be useful for later broadcast operations (such as subtracting + the mean along a dimension). + Example: if input has shape [a,b,c] and dimensions=[1] then output has shape: + keepDims = true: [a,1,c] + keepDims = false: [a,c] + """.trimIndent() + } + } + + Op("floor", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise floor function: out = floor(x). + Rounds each value down to the nearest integer value (if not already an integer) + """.trimIndent() + } + } + + Op("floorDiv", transformArithmetic){ + javaOpClass = "FloorDivOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise floor division operation, out = floor(x / y) + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("floorMod", transformArithmetic){ + javaOpClass = "FloorModOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise Modulus division operation + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("floorMod", scalar){ + javaOpClass = "ScalarFMod" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar floor modulus operation + """.trimIndent() + } + } + + Op("hammingDistance", reduce3) { + Doc(Language.ANY, DocScope.ALL){ + """ + Hamming distance reduction operation. The output contains the cosine distance for each + tensor/subset along the specified dimensions: + out = count( x[i] != y[i] ) + """.trimIndent() + } + } + + Op("iamax", indexAccumCustom) { + javaOpClass = "ArgMax" + //Signature(in, dimensions) + Doc(Language.ANY, DocScope.ALL){ + """ + Index of the max absolute value: argmax(abs(in)) + see argmax(String, %INPUT_TYPE%, boolean, int...) + """.trimIndent() + } + } + + Op("iamin", indexAccumCustom) { + javaOpClass = "ArgMin" + Doc(Language.ANY, DocScope.ALL){ + """ + Index of the min absolute value: argmin(abs(in)) + see argmin(String, %INPUT_TYPE%, boolean, int...) + """.trimIndent() + } + } + + Op("isFinite", transformBool) { + Doc(Language.ANY, DocScope.ALL){ + """ + Is finite operation: elementwise isFinite(x) + Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or + value 0 otherwise + """.trimIndent() + } + } + + Op("isInfinite", transformBool) { + javaOpClass = "IsInf" + Doc(Language.ANY, DocScope.ALL){ + """ + Is infinite operation: elementwise isInfinite(x) + Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or + value 0 otherwise + """.trimIndent() + } + } + + Op("isMax", transformAny) { + legacy = false + Doc(Language.ANY, DocScope.ALL){ + """ + Is maximum operation: elementwise x == max(x) + Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or + value 0 otherwise + """.trimIndent() + } + } + + Op("isNaN", transformBool) { + Doc(Language.ANY, DocScope.ALL){ + """ + Is Not a Number operation: elementwise isNaN(x) + Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or + value 0 otherwise + """.trimIndent() + } + } + + Op("isNonDecreasing") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Scalar variable with value 1 if non-decreasing, or 0 otherwise" } + Doc(Language.ANY, DocScope.ALL){ + """ + Is the array non decreasing? + An array is non-decreasing if for every valid i, x[i] <= x[i+1]. For Rank 2+ arrays, values are compared + in 'c' (row major) order + """.trimIndent() + } + } + + Op("isStrictlyIncreasing") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Scalar variable with value 1 if strictly increasing, or 0 otherwise" } + Doc(Language.ANY, DocScope.ALL){ + """ + Is the array strictly increasing? + An array is strictly increasing if for every valid i, x[i] < x[i+1]. For Rank 2+ arrays, values are compared + in 'c' (row major) order + """.trimIndent() + } + } + + Op("jaccardDistance", reduce3) { + Doc(Language.ANY, DocScope.ALL){ + """Jaccard similarity reduction operation. The output contains the Jaccard distance for each + tensor along the specified dimensions. + """.trimIndent() + } + } + + Op("lastIndex", indexAccum, keepSignatures=false) { + var c = Arg(CONDITION, "condition") { description = "Condition to check on input variable" } + Signature(this.inputs.get(0), c, this.args.get(1)) //in, condition, dimensions - for vararg + Signature(this.inputs.get(0), c, this.args.get(0), this.args.get(1)) //in, condition, keepDims, dimensions + Doc(Language.ANY, DocScope.ALL){ + """ + Last index reduction operation. + Returns a variable that contains the index of the last element that matches the specified condition (for each + slice along the specified dimensions) + Note that if keepDims = true, the output variable has the same rank as the input variable, + with the reduced dimensions having size 1. This can be useful for later broadcast operations (such as subtracting + the mean along a dimension). + Example: if input has shape [a,b,c] and dimensions=[1] then output has shape: + keepDims = true: [a,1,c] + keepDims = false: [a,c] + """.trimIndent() + } + } + + Op("log", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise logarithm function (base e - natural logarithm): out = log(x) + """.trimIndent() + } + } + + Op("log", transformStrict) { + javaOpClass = "LogX" + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + Arg(NUMERIC, "base") { description = "Logarithm base" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise logarithm function (with specified base): out = log_{base}(x) + """.trimIndent() + } + } + + Op("log1p", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise natural logarithm function: out = log_e (1 + x) + """.trimIndent() + } + } + + Op("logEntropy", reduceFloating) { + Doc(Language.ANY, DocScope.ALL){ + """ + Log entropy reduction: log(-sum(x * log(x))) + """.trimIndent() + } + } + + Op("logSumExp") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.custom" + Input(NUMERIC, "input") { description = "Input variable" } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Optional dimensions to reduce along" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Log-sum-exp reduction (optionally along dimension). + Computes log(sum(exp(x)) + """.trimIndent() + } + } + + Op("manhattanDistance", reduce3) { + Doc(Language.ANY, DocScope.ALL){ + """ + Manhattan distance (l1 norm, l1 distance) reduction operation. The output contains the Manhattan distance for each + tensor/subset along the specified dimensions: + out = sum_i abs(x[i]-y[i]) + """.trimIndent() + } + } + + Op("matrixDeterminant") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "in") { description = "Input" } + Output(NUMERIC, "output"){ description = "Matrix determinant variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix determinant op. For 2D input, this returns the standard matrix determinant. + For higher dimensional input with shape [..., m, m] the matrix determinant is returned for each + shape [m,m] sub-matrix. + """.trimIndent() + } + } + + Op("matrixInverse") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "in") { description = "Input" } + Output(NUMERIC, "output"){ description = "Matrix inverse variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix inverse op. For 2D input, this returns the standard matrix inverse. + For higher dimensional input with shape [..., m, m] the matrix inverse is returned for each + shape [m,m] sub-matrix. + """.trimIndent() + } + } + + Op("mergeAdd") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic" + javaOpClass = "MergeAddOp" + Input(NUMERIC, "inputs"){ count = AtLeast(1); description = "Input variables" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Merge add function: merges an arbitrary number of equal shaped arrays using element-wise addition: + out = sum_i in[i] + """.trimIndent() + } + } + + Op("mergeAvg") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "inputs"){ count = AtLeast(1); description = "Input variables" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Merge average function: merges an arbitrary number of equal shaped arrays using element-wise mean operation: + out = mean_i in[i] + """.trimIndent() + } + } + + Op("mergeMax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "inputs"){ count = AtLeast(1); description = "Input variables" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Merge max function: merges an arbitrary number of equal shaped arrays using element-wise maximum operation: + out = max_i in[i] + """.trimIndent() + } + } + + Op("mod", transformArithmetic){ + javaOpClass = "ModOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise modulus (remainder) operation, out = x % y + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("moments") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + Input(NUMERIC, "input") { description = "Input to calculate moments for" } + Arg(INT, "axes"){ count = AtLeast(0); description = "Dimensions to perform calculation over" } + Output(NUMERIC, "output_mean"){ description = "Mean variable" } + Output(NUMERIC, "output_variance"){ description = "Variance variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Calculate the mean and (population) variance for the input variable, for the specified axis + """.trimIndent() + } + } + + Op("neg", transformSame) { + javaOpClass = "Negative" + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise negative operation: out = -x + """.trimIndent() + } + } + + Op("normalizeMoments") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + Input(NUMERIC, "counts") { description = "Rank 0 (scalar) value with the total number of values used to calculate the sufficient statistics" } + Input(NUMERIC, "means") { description = "Mean-value sufficient statistics: this is the SUM of all data values" } + Input(NUMERIC, "variances") { description = "Variaance sufficient statistics: this is the squared sum of all data values" } + Arg(NUMERIC, "shift") { description = "Shift value, possibly 0, used when calculating the sufficient statistics (for numerical stability)" } + Output(NUMERIC, "output_mean"){ description = "Mean variable" } + Output(NUMERIC, "output_population"){ description = "Population variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Calculate the mean and variance from the sufficient statistics + """.trimIndent() + } + } + + Op("or") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool" + Input(BOOL, "x") { description = "Input 1" } + Input(BOOL, "y") { description = "Input 2" } + Output(BOOL, "output"){ description = "%INPUT_TYPE% with values 0 and 1 based on where the condition is satisfied" } + legacy = true + Doc(Language.ANY, DocScope.ALL){ + """ + Boolean OR operation: elementwise (x != 0) || (y != 0) + If x and y arrays have equal shape, the output shape is the same as these inputs. + Note: supports broadcasting if x and y have different shapes and are broadcastable. + Returns an array with values 1 where condition is satisfied, or value 0 otherwise. + """.trimIndent() + } + } + + Op("pow", scalar) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise power function: out = x^value + """.trimIndent() + } + } + + Op("pow") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Input(NUMERIC, "y") { description = "Power" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise (broadcastable) power function: out = x[i]^y[i] + """.trimIndent() + } + } + + Op("rationalTanh", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Rational Tanh Approximation elementwise function, as described in the paper: + Compact Convolutional Neural Network Cascade for Face Detection + This is a faster Tanh approximation + """.trimIndent() + } + } + + Op("rectifiedTanh", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Rectified tanh operation: max(0, tanh(in)) + """.trimIndent() + } + } + + Op("reciprocal", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise reciprocal (inverse) function: out[i] = 1 / in[i] + """.trimIndent() + } + } + + Op("rdiv", transformArithmetic){ + javaOpClass = "RDivOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise reverse division operation, out = y / x + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("rdiv", scalar){ + javaOpClass = "ScalarReverseDivision" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar reverse division operation, out = scalar / in + """.trimIndent() + } + } + + Op("round", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise round function: out = round(x). + Rounds (up or down depending on value) to the nearest integer value. + """.trimIndent() + } + } + + Op("rsqrt", transformFloating) { + javaOpClass = "RSqrt" + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise reciprocal (inverse) of square root: out = 1.0 / sqrt(x) + """.trimIndent() + } + } + + Op("rsub", transformArithmetic){ + javaOpClass = "RSubOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise reverse subtraction operation, out = y - x + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("rsub", scalar){ + javaOpClass = "ScalarReverseSubtraction" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar reverse subtraction operation, out = scalar - in + """.trimIndent() + } + } + + + Op("setDiag") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "MatrixSetDiag" + Input(NUMERIC, "in") { description = "Input variable" } + Input(NUMERIC, "diag") { description = "Diagonal" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Set the diagonal value to the specified values + If input is + [ a, b, c] + [ d, e, f] + [ g, h, i] + and diag = [ 1, 2, 3] then output is + [ 1, b, c] + [ d, 2, f] + [ g, h, 3] + """.trimIndent() + } + } + + Op("shannonEntropy", reduceFloating) { + Doc(Language.ANY, DocScope.ALL){ + """ + Shannon Entropy reduction: -sum(x * log2(x)) + """.trimIndent() + } + } + + Op("sign", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise sign (signum) function: + out = -1 if in < 0 + out = 0 if in = 0 + out = 1 if in > 0 + """.trimIndent() + } + } + + Op("sin", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise sine operation: out = sin(x) + """.trimIndent() + } + } + + Op("sinh", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise sinh (hyperbolic sine) operation: out = sinh(x) + """.trimIndent() + } + } + + Op("sqrt", transformFloating) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise square root function: out = sqrt(x) + """.trimIndent() + } + } + + Op("square", transformSame) { + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise square function: out = x^2 + """.trimIndent() + } + } + + Op("squaredDifference", transformArithmetic) { + javaOpClass = "SquaredDifferenceOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise squared difference operation. + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("step", scalar) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise step function: + out(x) = 1 if x >= cutoff + out(x) = 0 otherwise + """.trimIndent() + } + } + + Op("standardize") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(INT, "dimensions"){ count = AtLeast(1); description = "" } //TODO: Missing description for dimension. + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Standardize input variable along given axis +

+ out = (x - mean) / stdev +

+ with mean and stdev being calculated along the given dimension. +

+ For example: given x as a mini batch of the shape [numExamples, exampleLength]: +

    +
  • use dimension 1 too use the statistics (mean, stdev) for each example
    • +
  • use dimension 0 if you want to use the statistics for each column across all examples
    • +
  • use dimensions 0,1 if you want to use the statistics across all columns and examples
    • +
+ """.trimIndent() + } + } + + Op("sub", transformArithmetic){ + javaOpClass = "SubOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise subtraction operation, out = x - y + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("sub", scalar){ + javaOpClass = "ScalarSubtraction" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar subtraction operation, out = in - scalar + """.trimIndent() + } + } + + Op("tan", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise tangent operation: out = tan(x) + """.trimIndent() + } + } + + Op("tanh", transformStrict) { + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise tanh (hyperbolic tangent) operation: out = tanh(x) + """.trimIndent() + } + } + + Op("trace") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "in") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Trace" } + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix trace operation + For rank 2 matrices, the output is a scalar vith the trace - i.e., sum of the main diagonal. + For higher rank inputs, output[a,b,c] = trace(in[a,b,c,:,:]) + """.trimIndent() + } + } + + Op("xor") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool" + legacy = true + Input(BOOL, "x") { description = "Input 1" } + Input(BOOL, "y") { description = "Input 2" } + Output(BOOL, "output"){ description = "%INPUT_TYPE% with values 0 and 1 based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Boolean XOR (exclusive OR) operation: elementwise (x != 0) XOR (y != 0) + If x and y arrays have equal shape, the output shape is the same as these inputs. + Note: supports broadcasting if x and y have different shapes and are broadcastable. + Returns an array with values 1 where condition is satisfied, or value 0 otherwise. + """.trimIndent() + } + } + + Op("zeroFraction") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + Input(NUMERIC, "input") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Reduced array of rank 0 (scalar)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Full array zero fraction array reduction operation, optionally along specified dimensions: out = (count(x == 0) / length(x)) + """.trimIndent() + } + } + + Op("listDiff") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable X" } + Input(NUMERIC, "y") { description = "Input variable Y" } + Output(NUMERIC, "output1"){ description = "Calculated difference between X and Y" } + Output(NUMERIC, "output2"){ description = "Calculated difference between X and Y" } + Doc(Language.ANY, DocScope.ALL){ + """ + Calculates difference between inputs X and Y. + """.trimIndent() + } + } + + Op("max", transformCustom2){ + javaOpClass = "Max" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise max operation, out = max(x, y) + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("meshgrid") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "MeshGrid" + Arg(BOOL, "cartesian") + Input(NUMERIC, "inputs") { count = AtLeast(0) } + + Output(NUMERIC, "output1"){ description = "Output array" } + Output(NUMERIC, "output2"){ description = "Output array" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Broadcasts parameters for evaluation on an N-D grid. + """.trimIndent() + } + } + + Op("min", transformCustom2){ + javaOpClass = "Min" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise max operation, out = min(x, y) + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("mul", transformArithmetic){ + javaOpClass = "MulOp" + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise multiplication operation, out = x * y + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("mul", scalar){ + javaOpClass = "ScalarMultiplication" + Doc(Language.ANY, DocScope.ALL){ + """ + Scalar multiplication operation, out = in * scalar + """.trimIndent() + } + } + + Op("bitShift") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "ShiftBits" + Input(NUMERIC, "x") {description = "input"} + Input(NUMERIC, "shift") {description = "shift value"} + Output(NUMERIC, "output") {description = "shifted output"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Bit shift operation + """.trimIndent() + } + } + + Op("bitShiftRight") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "RShiftBits" + Input(NUMERIC, "x") {description = "Input tensor"} + Input(NUMERIC, "shift") {description = "shift argument"} + Output(NUMERIC, "output") {description = "shifted output"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Right bit shift operation + """.trimIndent() + } + } + + Op("bitShiftRotl") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CyclicShiftBits" + Input(NUMERIC, "x") {description = "Input tensor"} + Input(NUMERIC, "shift") {description = "shift argy=ument"} + Output(NUMERIC, "output") {description = "shifted output"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Cyclic bit shift operation + """.trimIndent() + } + } + + Op("bitShiftRotr") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CyclicRShiftBits" + Input(NUMERIC, "x") {description = "Input tensor"} + Input(NUMERIC, "shift") {description = "Shift argument"} + Output(NUMERIC, "output") {description = "Shifted output"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Cyclic right shift operation + """.trimIndent() + } + } + + Op("EmbeddingLookup") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape.tensorops" + javaOpClass = "EmbeddingLookup" + Input(NUMERIC, "x") {description = "Input tensor"} + Input(INT, "indices") {description = "A Tensor containing the ids to be looked up."} + Arg(ENUM, "PartitionMode") { possibleValues = listOf( "MOD","DIV"); description ="partition_mode == 0 - i.e. 'mod' , 1 - 'div'"} + Output(NUMERIC, "output") {description = "Shifted output"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Looks up ids in a list of embedding tensors. + + """.trimIndent() + } + } + + Op("MergeMaxIndex") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "MergeMaxIndex" + Input(NUMERIC, "x") {count = AtLeast(1); description = "Input tensor"} + Arg(DATA_TYPE, "dataType") { description = "Data type"; defaultValue = org.nd4j.linalg.api.buffer.DataType.INT } + Output(INT, "output") {description = "Array max elements indices with along dimensions."} + + Doc(Language.ANY, DocScope.ALL){ + """ + Return array of max elements indices with along tensor dimensions + """.trimIndent() + } + } +} diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/NeuralNetwork.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/NeuralNetwork.kt new file mode 100644 index 000000000..faf6a47be --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/NeuralNetwork.kt @@ -0,0 +1,549 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.mixins.transformStrict + +fun NN() = Namespace("NN") { + val convPkg = "org.nd4j.linalg.api.ops.impl.layers.convolution" + + Op("batchNorm") { + javaPackage = convPkg + Input(NUMERIC, "input") { description = "Input variable." } + Input(NUMERIC, "mean") { description = "Mean value. For 1d axis, this should match input.size(axis)" } + Input(NUMERIC, "variance") { description = "Variance value. For 1d axis, this should match input.size(axis)" } + Input(NUMERIC, "gamma") { description = "Gamma value. For 1d axis, this should match input.size(axis)" } + Input(NUMERIC, "beta") { description = "Beta value. For 1d axis, this should match input.size(axis)" } + Arg(NUMERIC, "epsilon") { description = "Epsilon constant for numerical stability (to avoid division by 0)" } + Arg(INT, "axis") { + count = AtLeast(1) + description = "For 2d CNN activations: 1 for NCHW format activations, or 3 for NHWC format activations.\n" + + "For 3d CNN activations: 1 for NCDHW format, 4 for NDHWC\n" + + "For 1d/RNN activations: 1 for NCW format, 2 for NWC" + } + + Output(NUMERIC, "output") { description = "variable for batch normalization" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Neural network batch normalization operation. + For details, see https://arxiv.org/abs/1502.03167 + """.trimIndent() + } + } + + Op("biasAdd") { + javaPackage = "org.nd4j.linalg.api.ops.impl.broadcast" + Input(NUMERIC, "input") { description = "4d input variable" } + Input(NUMERIC, "bias") { description = "1d bias" } + Arg(BOOL, "nchw") { description = "The format - nchw=true means [minibatch, channels, height, width] format; nchw=false - [minibatch, height, width, channels].\n" + + "Unused for 2d inputs" } + + Output(NUMERIC, "output") { description = "Output variable, after applying bias add operation" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Bias addition operation: a special case of addition, typically used with CNN 4D activations and a 1D bias vector + """.trimIndent() + } + } + + Op("dropout") { + javaPackage = "org.nd4j.linalg.api.ops.random.impl" + javaOpClass = "DropOut" + legacy = true + Input(NUMERIC, "input") { description = "Input array" } + Arg(NUMERIC, "inputRetainProbability") { description = "Probability of retaining an input (set to 0 with probability 1-p)" } + + Output(NUMERIC, "output") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Dropout operation + """.trimIndent() + } + } + + Op("elu", transformStrict) { + javaOpClass = "ELU" + legacy = false + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise exponential linear unit (ELU) function: + out = x if x > 0 + out = a * (exp(x) - 1) if x <= 0 + with constant a = 1.0 +

+ See: https://arxiv.org/abs/1511.07289 + """.trimIndent() + } + } + + Op("gelu", transformStrict) { + javaOpClass = "GELU" + + Doc(Language.ANY, DocScope.ALL) { + """ + GELU activation function - Gaussian Error Linear Units + For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415 + This method uses the sigmoid approximation + """.trimIndent() + } + } + + Op("hardSigmoid", transformStrict) { + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise hard sigmoid function: + out[i] = 0 if in[i] <= -2.5 + out[1] = 0.2*in[i]+0.5 if -2.5 < in[i] < 2.5 + out[i] = 1 if in[i] >= 2.5 + """.trimIndent() + } + } + + Op("hardTanh", transformStrict) { + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise hard tanh function: + out[i] = -1 if in[i] <= -1 + out[1] = in[i] if -1 < in[i] < 1 + out[i] = 1 if in[i] >= 1 + """.trimIndent() + } + } + + Op("hardTanhDerivative") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.gradient" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL) { + """ + Derivative (dOut/dIn) of the element-wise hard Tanh function - hardTanh(%INPUT_TYPE%) + """.trimIndent() + } + } + + Op("leakyRelu") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + javaOpClass = "LeakyReLU" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(NUMERIC, "alpha") { description = "Cutoff - commonly 0.01" } + + Output(NUMERIC, "output") { description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise leaky ReLU function: + out = x if x >= 0.0 + out = alpha * x if x < cutoff + Alpha value is most commonly set to 0.01 + """.trimIndent() + } + } + + Op("leakyReluDerivative") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.gradient" + javaOpClass = "LeakyReLUDerivative" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(FLOATING_POINT, "alpha") { description = "Cutoff - commonly 0.01" } + + Output(NUMERIC, "output") { description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Leaky ReLU derivative: dOut/dIn given input. + """.trimIndent() + } + } + + Op("CReLU") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CReLU" + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output") { description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation. Note that as a result this non-linearity doubles the depth of the activations. + """.trimIndent() + } + } + + Op("linear") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "XwPlusB" + Input(NUMERIC, "input") { description = "Input data" } + Input(NUMERIC, "weights") { description = "Weights variable, shape [nIn, nOut]" } + Input(NUMERIC, "bias") { description = "Optional bias variable (may be null)" /*; optional = true*/ } + + Output(NUMERIC, "output") { description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Linear layer operation: out = mmul(in,w) + bias + Note that bias array is optional + """.trimIndent() + } + } + + Op("logSigmoid", transformStrict) { + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise sigmoid function: out[i] = log(sigmoid(in[i])) + """.trimIndent() + } + } + + Op("logSoftmax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "LogSoftMax" + Input(NUMERIC, "x") { description = "" } + Output(NUMERIC, "output") { description = "" } + Doc(Language.ANY, DocScope.ALL) { + """ + Log softmax activation + """.trimIndent() + } + } + + Op("logSoftmax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "LogSoftMax" + Input(NUMERIC, "x") { description = "Input" } + Arg(INT, "dimension") { description = "Dimension along which to apply log softmax" } + Output(NUMERIC, "output") { description = "Output - log(softmax(input))" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Log softmax activation + """.trimIndent() + } + } + + Op("relu") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + javaOpClass = "RectifiedLinear" + legacy = true + Input(NUMERIC, "x") { description = "Input" } + Arg(NUMERIC, "cutoff") { description = "Cutoff value for ReLU operation - x > cutoff ? x : 0. Usually 0" } + Output(NUMERIC, "output") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise rectified linear function with specified cutoff: + out[i] = in[i] if in[i] >= cutoff + out[i] = 0 otherwise + """.trimIndent() + } + } + + Op("relu6") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + legacy = true + Input(NUMERIC, "x") { description = "Input" } + Arg(NUMERIC, "cutoff") { description = "Cutoff value for ReLU operation. Usually 0" } + Output(NUMERIC, "output") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise "rectified linear 6" function with specified cutoff: + out[i] = min(max(in, cutoff), 6) + """.trimIndent() + } + } + + Op("reluLayer") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms" + Input(NUMERIC, "input") { description = "Input data" } + Input(NUMERIC, "weights") { description = "Weights variable" } + Input(NUMERIC, "bias") { description = "Optional bias variable (may be null)" /*; optional = true*/ } + Output(NUMERIC, "output") { description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL) { + """ + ReLU (Rectified Linear Unit) layer operation: out = relu(mmul(in,w) + bias) + Note that bias array is optional + """.trimIndent() + } + } + + Op("preciseGelu", transformStrict) { + javaOpClass = "PreciseGELU" + + Doc(Language.ANY, DocScope.ALL) { + """ + GELU activation function - Gaussian Error Linear Units + For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415 + This method uses the precise method + """.trimIndent() + } + } + + Op("prelu") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + javaOpClass = "PRelu" + Input(NUMERIC, "input") { description = "Input data" } + Input(NUMERIC, "alpha") { description = "The cutoff variable. Note that the batch dimension (the 0th, whether it is batch or not) should not be part of alpha." } + Arg(INT, "sharedAxes") { count = AtLeast(1); description = "Which axes to share cutoff parameters along." } + + Output(NUMERIC, "output") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + """ + PReLU (Parameterized Rectified Linear Unit) operation. Like LeakyReLU with a learnable alpha: + out[i] = in[i] if in[i] >= 0 + out[i] = in[i] * alpha[i] otherwise + + sharedAxes allows you to share learnable parameters along axes. + For example, if the input has shape [batchSize, channels, height, width] + and you want each channel to have its own cutoff, use sharedAxes = [2, 3] and an + alpha with shape [channels]. + """.trimIndent() + } + } + + Op("selu", transformStrict) { + javaOpClass = "SELU" + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise SeLU function - Scaled exponential Lineal Unit: see Self-Normalizing Neural Networks + + out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0 + Uses default scale and alpha values. + """.trimIndent() + } + } + + Op("sigmoid", transformStrict) { + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise sigmoid function: out[i] = 1.0/(1+exp(-in[i])) + """.trimIndent() + } + } + + Op("sigmoidDerivative") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.gradient" + Input(NUMERIC, "x") { description = "Input Variable" } + Input(NUMERIC, "wrt") { description = "Gradient at the output - dL/dOut. Must have same shape as the input" } + Output(NUMERIC, "output") { description = "Output (gradient at input of sigmoid)" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise sigmoid function derivative: dL/dIn given input and dL/dOut + """.trimIndent() + } + } + + Op("softmax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "SoftMax" + Input(NUMERIC, "x") { description = "Input" } + Arg(INT, "dimension") { description = "Dimension along which to apply softmax"; defaultValue = -1 } + Output(NUMERIC, "output") { description = "Output variable" } + Doc(Language.ANY, DocScope.ALL) { + """ + Softmax activation, along the specified dimension + """.trimIndent() + } + } + + Op("softmaxDerivative") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.gradient" + javaOpClass = "SoftmaxBp" + Input(NUMERIC, "x") { description = "Softmax input" } + Input(NUMERIC, "wrt") { description = "Gradient at output, dL/dx" } + Arg(INT, "dimension"){description = "Softmax dimension"} + + Output(NUMERIC, "output") { description = "" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Softmax derivative function + """.trimIndent() + } + } + + Op("softplus", transformStrict) { + javaOpClass = "SoftPlus" + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise softplus function: out = log(exp(x) + 1) + """.trimIndent() + } + } + + Op("softsign", transformStrict) { + javaOpClass = "SoftSign" + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise softsign function: out = x / (abs(x) + 1) + """.trimIndent() + } + } + + Op("softsignDerivative") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.gradient" + javaOpClass = "SoftSignDerivative" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Output(NUMERIC, "output") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise derivative (dOut/dIn) of the softsign function softsign(%INPUT_TYPE%) + """.trimIndent() + } + } + + Op("swish", transformStrict) { + Doc(Language.ANY, DocScope.ALL) { + """ + Element-wise "swish" function: out = x * sigmoid(b*x) with b=1.0 + See: https://arxiv.org/abs/1710.05941 + """.trimIndent() + } + } + + Op("layerNorm") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + val input = Input(NUMERIC, "input") { description = "Input variable" } + val g = Input(NUMERIC, "gain") { description = "Gain" } + Input(NUMERIC, "bias") { description = "Bias"; defaultValue = null} + val ch = Arg(BOOL, "channelsFirst") { description = "For 2D input - unused. True for NCHW (minibatch, channels, height, width), false for NHWC data" } + val dim = Arg(INT, "dimensions") { count = AtLeast(1); description = "Dimensions to perform layer norm over - dimension=1 for 2d/MLP data, dimension=1,2,3 for CNNs" } + + Output(NUMERIC, "output") { description = "Output variable" } + + AllParamSignature() + Signature(input, g, ch, dim) + + Doc(Language.ANY, DocScope.ALL) { + """ + Apply Layer Normalization + + y = gain * standardize(x) + bias + """.trimIndent() + } + } + + Op("dotProductAttention") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + val q = Input(NUMERIC, "queries") { description = "input 3D array \"queries\" of shape [batchSize, featureKeys, queryCount]\n" + + "or 4D array of shape [batchSize, numHeads, featureKeys, queryCount]" } + val k = Input(NUMERIC, "keys") { description = "input 3D array \"keys\" of shape [batchSize, featureKeys, timesteps]\n" + + "or 4D array of shape [batchSize, numHeads, featureKeys, timesteps]" } + val v = Input(NUMERIC, "values") { description = "input 3D array \"values\" of shape [batchSize, featureValues, timesteps]\n" + + "or 4D array of shape [batchSize, numHeads, featureValues, timesteps]" } + val m = Input(NUMERIC, "mask") { description = "OPTIONAL; array that defines which values should be skipped of shape [batchSize, timesteps]" } + val s = Arg(BOOL, "scaled") { description = "normalization, false -> do not apply normalization, true -> apply normalization" } + Arg(BOOL, "withWeights") { defaultValue = false; description = "withWeights return attention weights as well, false -> only one output, true -> two outputs" } + + Output(NUMERIC, "output") { description = " Attention result arrays of shape [batchSize, featureValues, queryCount] or [batchSize, numHeads, featureValues, queryCount],\n" + + "(optionally) Attention Weights of shape [batchSize, timesteps, queryCount] or [batchSize, numHeads, timesteps, queryCount]" } + + Signature(q, k, v, m, s) + + Doc(Language.ANY, DocScope.ALL) { + """ + This operation performs dot product attention on the given timeseries input with the given queries + out = sum(similarity(k_i, q) * v_i) + + similarity(k, q) = softmax(k * q) where x * q is the dot product of x and q + + Optionally with normalization step: + similarity(k, q) = softmax(k * q / sqrt(size(q)) + + See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, p. 4, eq. 1) + + Note: This supports multiple queries at once, if only one query is available the queries vector still has to + be 3D but can have queryCount = 1 + + Note: keys and values usually is the same array. If you want to use it as the same array, simply pass it for + both. + + Note: Queries, keys and values must either be all rank 3 or all rank 4 arrays. Mixing them doesn't work. The + output rank will depend on the input rank. + """.trimIndent() + } + } + + Op("multiHeadDotProductAttention") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + val q = Input(NUMERIC, "queries") { description = "input 3D array \"queries\" of shape [batchSize, featureKeys, queryCount]" } + val k = Input(NUMERIC, "keys") { description = "input 3D array \"keys\" of shape [batchSize, featureKeys, timesteps]" } + val v = Input(NUMERIC, "values") { description = "input 3D array \"values\" of shape [batchSize, featureValues, timesteps]" } + val wq = Input(NUMERIC, "Wq") { description = "input query projection weights of shape [numHeads, projectedKeys, featureKeys]" } + val wk = Input(NUMERIC, "Wk") { description = "input key projection weights of shape [numHeads, projectedKeys, featureKeys]" } + val wv = Input(NUMERIC, "Wv") { description = "input value projection weights of shape [numHeads, projectedValues, featureValues]" } + val wo = Input(NUMERIC, "Wo") { description = "output projection weights of shape [numHeads * projectedValues, outSize]" } + val m = Input(NUMERIC, "mask") { description = "OPTIONAL; array that defines which values should be skipped of shape [batchSize, timesteps]" } + val s = Arg(BOOL, "scaled") { description = "normalization, false -> do not apply normalization, true -> apply normalization" } + Arg(BOOL, "withWeights") { defaultValue = false; description = "return attention weights as well, false -> only one output, true -> two outputs" } + + Output(NUMERIC, "output") { description = "Attention result arrays of shape [batchSize, outSize, queryCount]\n" + + "(optionally) Attention Weights of shape [batchSize, numHeads, timesteps, queryCount]" } + + Signature(q, k, v, wq, wk, wv, wo, m, s) + + Doc(Language.ANY, DocScope.ALL) { + """ + This performs multi-headed dot product attention on the given timeseries input + out = concat(head_1, head_2, ..., head_n) * Wo + head_i = dot_product_attention(Wq_i*q, Wk_i*k, Wv_i*v) + + Optionally with normalization when calculating the attention for each head. + + See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, pp. 4,5, "3.2.2 Multi-Head Attention") + + This makes use of dot_product_attention OP support for rank 4 inputs. + see dotProductAttention(%INPUT_TYPE%, %INPUT_TYPE%, %INPUT_TYPE%, %INPUT_TYPE%, boolean, boolean) + """.trimIndent() + } + } + + Op("pad") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms" + Input(NUMERIC, "input") { description = "Input tensor"} + Input(NUMERIC, "padding") { description = "Padding value" } + Arg(ENUM, "PadMode") { possibleValues = listOf("CONSTANT", "REFLECT", "SYMMETRIC"); description = "Padding format"; defaultValue="CONSTANT" } + Arg(NUMERIC, "constant") { description = "Padding constant" } + + Output(NUMERIC, "output"){ description = "Padded input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Padding operation + """.trimIndent() + } + } + + Alias(Math(), "tanh") +} diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/RNN.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/RNN.kt new file mode 100644 index 000000000..aff02b9ab --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/RNN.kt @@ -0,0 +1,357 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.api.DataType.* + +fun SDRNN() = Namespace("RNN") { + + + val LSTMConfiguration = Config("LSTMConfiguration") { + + Arg(ENUM, "RnnDataFormat") { + possibleValues = listOf("TNS", "NST", "NTS"); description = " The data format of the input. Input shape depends on data format (in config):
\n" + + " TNS -> [timeSteps, batchSize, inSize]
\n" + + " NST -> [batchSize, inSize, timeSteps]
\n" + + " NTS -> [batchSize, timeSteps, inSize]
" + } + + + Arg(BOOL, "peepHole") { description = "Whether to provide peephole connections"; } + Arg(NUMERIC, "forgetBias") { description = "The bias added to forget gates in order to reduce the scale of forgetting in the beginning of the training."; } + Arg(NUMERIC, "clippingCellValue") { description = "The bias added to forget gates in order to reduce the scale of forgetting in the beginning of the training."; } + + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMConfiguration" + } + + + val LSTMLayerConfig = Config("LSTMLayerConfig") { + + Arg(ENUM, "LSTMDataFormat") { + possibleValues = listOf("TNS", "NST", "NTS", "T2NS"); + description = "for unidirectional:" + + " TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as \"time major\"
\n" + + " NST: shape [numExamples, inOutSize, timeLength]
\n" + + " NTS: shape [numExamples, timeLength, inOutSize] - TF \"time_major=false\" layout
" + + " for bidirectional:\n" + + " T2NS: 3 = [timeLength, 2, numExamples, inOutSize] (for ONNX)" + } + + + Arg(ENUM, "LSTMDirectionMode") { + possibleValues = listOf("FWD", "BWD", "BIDIR_SUM", "BIDIR_CONCAT", "BIDIR_EXTRA_DIM"); description = "direction
\n" + + " FWD: 0 = fwd\n" + + " BWD: 1 = bwd\n" + + " BIDIR_SUM: 2 = bidirectional sum\n" + + " BIDIR_CONCAT: 3 = bidirectional concat\n" + + " BIDIR_EXTRA_DIM: 4 = bidirectional extra output dim (in conjunction with format dataFormat = 3)" + } + + Arg(ENUM, "gateAct") { + possibleValues = listOf("TANH", + "RELU", + "SIGMOID", + "AFFINE", + "LEAKY_RELU", + "THRESHHOLD_RELU", + "SCALED_TAHN", + "HARD_SIGMOID", + "ELU", + "SOFTSIGN", + "SOFTPLUS"); description = "Activations" + } + + + Arg(ENUM, "cellAct") { + possibleValues = listOf("TANH", + "RELU", + "SIGMOID", + "AFFINE", + "LEAKY_RELU", + "THRESHHOLD_RELU", + "SCALED_TAHN", + "HARD_SIGMOID", + "ELU", + "SOFTSIGN", + "SOFTPLUS"); description = "Activations" + } + + + Arg(ENUM, "outAct") { + possibleValues = listOf("TANH", + "RELU", + "SIGMOID", + "AFFINE", + "LEAKY_RELU", + "THRESHHOLD_RELU", + "SCALED_TAHN", + "HARD_SIGMOID", + "ELU", + "SOFTSIGN", + "SOFTPLUS"); description = "Activations" + } + + + Arg(BOOL, "retFullSequence") { description = "indicates whether to return whole time sequence h {h_0, h_1, ... , h_sL-1}"; defaultValue = true } + Arg(BOOL, "retLastH") { + description = "indicates whether to return output at last time step only,\n" + + " in this case shape would be [bS, nOut] (exact shape depends on dataFormat argument)"; defaultValue = false + } + Arg(BOOL, "retLastC") { + description = "indicates whether to return cells state at last time step only,\n" + + " in this case shape would be [bS, nOut] (exact shape depends on dataFormat argument)"; defaultValue = false + } + Arg(NUMERIC, "cellClip") { description = "Cell clipping value, if it = 0 then do not apply clipping"; defaultValue = 0.0} + + Arg(NUMERIC, "gateAlpha") {defaultValue=0.0} + Arg(NUMERIC, "gateBeta") {defaultValue=0.0} + Arg(NUMERIC, "cellAlpha") {defaultValue=0.0} + Arg(NUMERIC, "cellBeta") {defaultValue=0.0} + Arg(NUMERIC, "outAlpha") {defaultValue=0.0} + Arg(NUMERIC, "outBeta") {defaultValue=0.0} + + + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMLayerConfig" + } + + + val GRUWeights = Config("GRUWeights") { + Input(NUMERIC, "ruWeight") + Input(NUMERIC, "cWeight") + Input(NUMERIC, "ruBias") + Input(NUMERIC, "cBias") + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.GRUWeights" + } + + val SRUWeights = Config("SRUWeights") { + Input(NUMERIC, "weights") + Input(NUMERIC, "bias") + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights" + } + + val LSTMWeights = Config("LSTMWeights") { + Input(NUMERIC, "ruWeight") + Input(NUMERIC, "inputPeepholeWeights") + Input(NUMERIC, "forgetPeepholeWeights") + Input(NUMERIC, "outputPeepholeWeights") + Input(NUMERIC, "bias") + + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMWeights" + } + + val LSTMLayerWeights = Config("LSTMLayerWeights") { + Input(NUMERIC, "inputWeights") {description="input weights Wx:\n" + + " 1) shapes `[nIn, 4*nOut]` for FWD,BWD " + + " 2) shapes `[2, nIn, 4*nOut]` BIDIR_SUM, BIDIR_CONCAT and BIDIR_EXTRA_DIM"} + Input(NUMERIC, "recurrentWeights") {description="recurrent weights Wr:\n" + + " 1) shapes `[nIn, 4*nOut]` for FWD, BWD " + + " 2) shapes `[2, nIn, 4*nOut]` BIDIR_SUM, BIDIR_CONCAT and BIDIR_EXTRA_DIM"} + Input(NUMERIC, "biases") {description="biases\n"+ + " 1) shapes `[4*nOut]` for FWD, BWD " + + " 2) shapes `[2, 4*nOut]` for BIDIR_SUM, BIDIR_CONCAT and BIDIR_EXTRA_DIM" + defaultValue=null} + Input(NUMERIC, "peepholeWeights") {description="peephole weights Wp:\n" + + " 1) `[3*nOut]` when directionMode < 2\n" + + " 2) `[2, 3*nOut]` when directionMode >= 2"; defaultValue=null} + + + javaClassOverride = "org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights" + } + + + val namespaceJavaPackage = "org.nd4j.linalg.api.ops.impl.layers.recurrent" + Op("gruCell") { + javaPackage = namespaceJavaPackage + javaOpClass = "GRUCell" + Input(NUMERIC, "x") { description = "Input, with shape [batchSize, inSize]" } + Input(NUMERIC, "hLast") { description = "Output of the previous cell/time step, with shape [batchSize, numUnits]" } + useConfig(GRUWeights) + Output(NUMERIC, "r") { description = "Reset gate output" } + Output(NUMERIC, "u") { description = "Update gate output" } + Output(NUMERIC, "c") { description = "Cell gate output" } + Output(NUMERIC, "h") { description = "Cell output" } + + Doc(Language.ANY, DocScope.ALL) { + """ + The GRU cell. Does a single time step operation + """.trimIndent() + } + } + + Op("gru") { + javaPackage = namespaceJavaPackage + javaOpClass = "GRU" + Input(NUMERIC, "x") { description = "input [time, bS, nIn]" } + Input(NUMERIC, "hLast") { description = "initial cell output (at time step = 0) [bS, nOut]" } + Input(NUMERIC, "Wx") { description = "input-to-hidden weights, [nIn, 3*nOut]" } + Input(NUMERIC, "Wh") { description = "hidden-to-hidden weights, [nOut, 3*nOut]" } + Input(NUMERIC, "biases") { description = "biases, [3*nOut]" } + + Output(NUMERIC, "h") { description = "cell outputs [time, bS, nOut], that is per each time step" } + + + + Doc(Language.ANY, DocScope.ALL) { + """ + The GRU operation. Gated Recurrent Unit - Cho et al. 2014. + + + """.trimIndent() + } + } + + + + + + + Op("lstmCell") { + javaPackage = namespaceJavaPackage + javaOpClass = "LSTMBlockCell" + Input(NUMERIC, "x") { description = "Input, with shape [batchSize, inSize]" } + Input(NUMERIC, "cLast") { description = "Previous cell state, with shape [batchSize, numUnits]" } + Input(NUMERIC, "yLast") { description = "revious cell output, with shape [batchSize, numUnits]" } + useConfig(LSTMWeights) + useConfig(LSTMConfiguration) + + Output(NUMERIC, "i") { description = "Output - input modulation gate activations [batchSize, numUnits]." } + Output(NUMERIC, "c") { description = "Output - Activations, cell state (pre tanh) [batchSize, numUnits]." } + Output(NUMERIC, "f") { description = "Output - forget gate activations [batchSize, numUnits]." } + Output(NUMERIC, "o") { description = "Output - output gate activations [batchSize, numUnits]." } + Output(NUMERIC, "z") { description = "Output - input gate activations [batchSize, numUnits]." } + Output(NUMERIC, "h") { description = "Cell state, post tanh [batchSize, numUnits]." } + Output(NUMERIC, "y") { description = "Current cell output [batchSize, numUnits]." } + + Doc(Language.ANY, DocScope.ALL) { + """ + The LSTM cell. Does a single time step operation. + """.trimIndent() + } + } + + + + Op("lstmblock") { + javaPackage = namespaceJavaPackage + javaOpClass = "LSTMBlock" + Input(NUMERIC, "maxTSLength") {defaultValue=null} + Input(NUMERIC, "x") { description = " Input, with shape dependent on the data format (in config)." } + Input(NUMERIC, "cLast") { description = "Previous/initial cell state, with shape [batchSize, numUnits]" ; defaultValue=null} + Input(NUMERIC, "yLast") { description = "Previous/initial cell output, with shape [batchSize, numUnits]" ; defaultValue=null } + useConfig(LSTMWeights) + useConfig(LSTMConfiguration) + + Output(NUMERIC, "output") { description = "The layer's outputs." } + + Doc(Language.ANY, DocScope.ALL) { + """ + The LSTM block + """.trimIndent() + } + } + + + + Op("lstmLayer") { + javaPackage = namespaceJavaPackage + javaOpClass = "LSTMLayer" + Input(NUMERIC, "x") { description = " Input, with shape dependent on the data format (in config)." } + Input(NUMERIC, "cLast") { description = "Previous/initial cell state, with shape [batchSize, numUnits]"; defaultValue=null } + Input(NUMERIC, "yLast") { description = "Previous/initial cell output, with shape [batchSize, numUnits]"; defaultValue=null } + Input(NUMERIC, "maxTSLength") { description = "maxTSLength with shape [batchSize]"; defaultValue=null } + useConfig(LSTMLayerWeights) + useConfig(LSTMLayerConfig) + + //TODO these are optional + Output(NUMERIC, "output") { description = "The layer's outputs - full time series" } + Output(NUMERIC, "yLast") { description = "The layer's outputs - last time step activations (yLast)" } + Output(NUMERIC, "cLast") { description = "The layer's outputs - last time step cell state (cLast)" } + + Doc(Language.ANY, DocScope.ALL) { + """ + Long Short-Term Memory layer - Hochreiter 1997. + SUPPORTS following data formats: + for unidirectional: + TNS: shapes [timeLength, numExamples, inOutSize] + NST: shapes [numExamples, inOutSize, timeLength] + NTS: shapes [numExamples, timeLength, inOutSize] + for bidirectional: + T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX) + SUPPORTS following direction modes: + FWD: forward + BWD: backward + BIDIR_SUM: bidirectional sum + BIDIR_CONCAT: bidirectional concat + BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS) + You may use different gate configurations: + specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum + ("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS") + Also this layer supports MKLDNN (DNNL) and cuDNN acceleration + """.trimIndent() + } + } + + + + Op("sruCell") { + javaPackage = namespaceJavaPackage + javaOpClass = "SRUCell" + Input(NUMERIC, "x") { description = "Input, with shape [batchSize, inSize]" } + Input(NUMERIC, "cLast") { description = "Previous cell state, with shape [batchSize, inSize]" } + useConfig(SRUWeights) + + Output(NUMERIC, "output") { description = "The cell's outputs." } + + Doc(Language.ANY, DocScope.ALL) { + """ + The SRU layer. Does a single time step operation. + """.trimIndent() + } + } + + + Op("sru") { + javaPackage = namespaceJavaPackage + javaOpClass = "SRU" + Input(NUMERIC, "x") { description = "Input, with shape [batchSize, inSize]" } + Input(NUMERIC, "initialC") { description = "Initial cell state, with shape [batchSize, inSize]" } + Input(NUMERIC, "mask") { description = "An optional dropout mask, with shape [batchSize, inSize]"; defaultValue = null } + + useConfig(SRUWeights) + + Output(NUMERIC, "output") { description = "The cell's outputs.." } + + Doc(Language.ANY, DocScope.ALL) { + """ + The SRU layer. Does a single time step operation. + """.trimIndent() + } + + } +} + + + + diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Random.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Random.kt new file mode 100644 index 000000000..b6777f19f --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/Random.kt @@ -0,0 +1,142 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* + +fun Random() = Namespace("Random") { + val random = Mixin("random"){ + Arg(DATA_TYPE, "datatype"){ description = "Data type of the output variable"} + Arg(LONG, "shape") { count = AtLeast(0); description = "Shape of the new random %INPUT_TYPE%, as a 1D array" } + Output(NUMERIC, "output") { description = "Tensor with the given shape where values are randomly sampled according to a %OP_NAME% distribution" } + } + + val legacyRandom = Mixin("legacyRandom"){ + useMixin(random) + javaPackage = "org.nd4j.linalg.api.ops.random.impl" + legacy = true + } + + val normalRandom = Mixin("normalRandom"){ + Arg(FLOATING_POINT, "mean") { description = "Mean value for the random array" } + Arg(FLOATING_POINT, "stddev") { description = "Standard deviation for the random array" } + useMixin(legacyRandom) + } + + Op("bernoulli") { + javaOpClass = "BernoulliDistribution" + Arg(FLOATING_POINT, "p") { description = "Probability of value 1" } + useMixin(legacyRandom) + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a Bernoulli distribution, + with the specified probability. Array values will have value 1 with probability P and value 0 with probability + 1-P. + """.trimIndent() + } + } + + Op("binomial") { + javaOpClass = "BinomialDistribution" + + Arg(INT, "nTrials") { description = "Number of trials parameter for the binomial distribution" } + Arg(FLOATING_POINT, "p") { description = "Probability of success for each trial" } + useMixin(legacyRandom) + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a Binomial distribution, + with the specified number of trials and probability. + """.trimIndent() + } + } + + Op("exponential") { + javaPackage = "org.nd4j.linalg.api.ops.random.custom" + javaOpClass = "RandomExponential" + + val lambda = Arg(FLOATING_POINT, "lambda") { description = "lambda parameter" } + Constraint("Must be positive") { lambda gt 0 } + useMixin(random) + + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a exponential distribution: + P(x) = lambda * exp(-lambda * x) + """.trimIndent() + } + } + + Op("logNormal", normalRandom) { + javaOpClass = "LogNormalDistribution" + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a Log Normal distribution, + i.e., {@code log(x) ~ N(mean, stdev)} + """.trimIndent() + } + } + + Op("normal", normalRandom) { + javaPackage = "org.nd4j.linalg.api.ops.random.impl" + javaOpClass = "GaussianDistribution" + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a Gaussian (normal) distribution, + N(mean, stdev)
+ """.trimIndent() + } + } + + Op("normalTruncated", normalRandom) { + javaOpClass = "TruncatedNormalDistribution" + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a Gaussian (normal) distribution, + N(mean, stdev). However, any values more than 1 standard deviation from the mean are dropped and re-sampled + """.trimIndent() + } + } + + Op("uniform") { + javaOpClass = "UniformDistribution" + + Arg(FLOATING_POINT, "min") { description = "Minimum value" } + Arg(FLOATING_POINT, "max") { description = "Maximum value." } + useMixin(legacyRandom) + + Doc(Language.ANY, DocScope.ALL) { + """ + Generate a new random %INPUT_TYPE%, where values are randomly sampled according to a uniform distribution, + U(min,max) + """.trimIndent() + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/SDBaseOps.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/SDBaseOps.kt new file mode 100644 index 000000000..28a4d6887 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/SDBaseOps.kt @@ -0,0 +1,1686 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +/** + * Generated using ExtractFromExisting.kt + */ +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.mixins.* +import org.nd4j.linalg.api.buffer.DataType +import java.lang.Boolean.FALSE + +fun SDBaseOps() = Namespace("BaseOps"){ + + val keepDimsDoc = Mixin("keepDims"){ + Doc(Language.ANY, DocScope.ALL){ + """ + Note that if keepDims = true, the output variable has the same rank as the input variable, + with the reduced dimensions having size 1. This can be useful for later broadcast operations (such as subtracting + the mean along a dimension). + Example: if input has shape [a,b,c] and dimensions=[1] then output has shape: + keepDims = true: [a,1,c] + keepDims = false: [a,c] + """.trimIndent() + } + } + + val booleanReturnDoc = Mixin("booleanReturnDoc"){ + Doc(Language.ANY, DocScope.ALL) { + """ + Return boolean array with values true where satisfied, or false otherwise. + """.trimIndent() + } + } + + val scatterOp = Mixin("scatterOp "){ + javaPackage = "org.nd4j.linalg.api.ops.impl.scatter" + Input(NUMERIC, "ref") { description = "Initial/source variable" } + Input(NUMERIC, "indices") { description = "Indices array" } + Input(NUMERIC, "updates") { description = "Updates to add to the initial/source array" } + Output(NUMERIC, "output"){ description = "The updated variable" } + } + + val scatterDoc = Mixin("scatterDoc "){ + Doc(Language.ANY, DocScope.ALL) { + """ + If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...]) + If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...]) + If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...]) + Note that if multiple indices refer to the same location, the contributions from each is handled correctly. + """.trimIndent() + } + } + + val segmentOp = Mixin("segmentOp"){ + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom.segment" + Input(NDARRAY, "data") { description = "Data to perform segment max on" } + Input(NUMERIC, "segmentIds") { description = "Variable for the segment IDs" } + Output(NUMERIC, "output"){ description = "Segment output" } + } + + val segmentDoc = Mixin("segmentDoc") { + Doc(Language.ANY, DocScope.ALL) { + """ + If data = [3, 6, 1, 4, 9, 2, 8] + segmentIds = [0, 0, 1, 1, 1, 2, 2] + then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)] + Note that the segment IDs must be sorted from smallest to largest segment. + See {unsortedSegment (String, SDVariable, SDVariable, int) ops + for the same op without this sorted requirement + """.trimIndent() + } + } + + val unsortedSegmentOp = Mixin("unsortedSegmentOp") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.segment" + Input(NUMERIC, "data") { description = "Data (variable) to perform unsorted segment max on" } + Input(NUMERIC, "segmentIds") { description = "Variable for the segment IDs" } + Arg(INT, "numSegments") { description = "Number of segments" } + Output(NUMERIC, "output") { description = "Unsorted segment output" } + } + + Op("argmax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.indexaccum.custom" + javaOpClass = "ArgMax" + Input(NUMERIC, "in") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue = false } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + + Output(NUMERIC, "output"){ description = "reduced array of rank (input rank - num dimensions) if keepDims = false, or\n" + + " of rank (input rank) if keepdims = true" } + Doc(Language.ANY, DocScope.ALL){ + """ + Argmax array reduction operation, optionally along specified dimensions. + Output values are the index of the maximum value of each slice along the specified dimension. + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("argmin") { + javaPackage = "org.nd4j.linalg.api.ops.impl.indexaccum.custom" + javaOpClass = "ArgMin" + Input(NUMERIC, "in") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue = false } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "reduced array of rank (input rank - num dimensions) if keepDims = false, or of rank (input rank) if keepdims = true" } + Doc(Language.ANY, DocScope.ALL){ + """ + Argmin array reduction operation, optionally along specified dimensions. + Output values are the index of the minimum value of each slice along the specified dimension. + """.trimIndent() + } + useMixin(keepDimsDoc) + useMixin(broadcastingDoc) + } + + Op("concat") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "Concat" + argsFirst = true + Arg(INT, "dimension"){ description = "Dimension to concatenate on" } + val inputs = Input(NUMERIC, "inputs") {count = AtLeast(1); description = "Input variables" } + Output(NUMERIC, "output"){ description = "" } + Constraint("Input arrays must all be the same datatype"){ sameType(inputs) } //TODO: Fix, generates error in java, + Doc(Language.ANY, DocScope.ALL){ + """ + Concatenate a set of inputs along the specified dimension. + Note that inputs must have identical rank and identical dimensions, other than the dimension to stack on. + For example, if 2 inputs have shape [a, x, c] and [a, y, c] and dimension = 1, then the output has shape [a, x+y, c] + """.trimIndent() + } + } + + Op("cumprod") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CumProd" + Input(NUMERIC, "in") { description = "Input variable" } + Arg(BOOL, "exclusive") { description = "If true: exclude the first value"; defaultValue = FALSE } + Arg(BOOL, "reverse") { description = "If true: reverse the direction of the accumulation"; defaultValue = FALSE } + Arg(INT, "axis") { count = AtLeast(1); description = "Scalar axis argument for dimension to perform cumululative sum operations along" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Cumulative product operation. + For input: [ a, b, c], output is: + exclusive=false, reverse=false: [a, a*b, a*b*c] + exclusive=true, reverse=false, [0, a, a*b] + exclusive=false, reverse=true: [a*b*c, b*c, c] + exclusive=true, reverse=true: [b*c, c, 0] + """.trimIndent() + } + } + + Op("cumsum") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "CumSum" + Input(NUMERIC, "in") { description = "Input variable" } + Arg(BOOL, "exclusive") { description = "If true: exclude the first value"; defaultValue = FALSE } + Arg(BOOL, "reverse") { description = "If true: reverse the direction of the accumulation"; defaultValue = FALSE } + Arg(INT, "axis") { count = AtLeast(1); description = "Scalar axis argument for dimension to perform cumululative sum operations along" } + Output(NUMERIC, "output"){ description = "" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Cumulative sum operation. + For input: [ a, b, c], output is: + exclusive=false, reverse=false: [a, a+b, a+b+c] + exclusive=true, reverse=false, [0, a, a+b] + exclusive=false, reverse=true: [a+b+c, b+c, c] + exclusive=true, reverse=true: [b+c, c, 0] + """.trimIndent() + } + } + + Op("dot") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce3" + javaOpClass = "Dot" + legacy = true + Input(NUMERIC, "x") { description = "first input" } + Input(NUMERIC, "y") { description = "second input" } + Arg(INT, "dimensions") {count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Pairwise dot product reduction along dimension + output = sum(i=0 ... size(dim)-1) x[i] * y[i] + """.trimIndent() + } + } + + Op("dynamicPartition") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "DynamicPartition" + Input(NUMERIC, "x") { description = "Input variable" } + Input(INT, "partitions") { description = "1D input with values 0 to numPartitions-1" } + Arg(INT, "numPartitions") { description = "Number of partitions, >= 1" } + Output(NUMERIC, "output"){ multiOutput=true; description = "Output variables (equal in number to numPartitions)" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Dynamically partition the input variable values into the specified number of paritions, using the indices. + Example: + 

+                input = [1,2,3,4,5]
+                numPartitions = 2
+                partitions = [1,0,0,1,0]
+                out[0] = [2,3,5]
+                out[1] = [1,4] }
+
+ """.trimIndent() + } + } + + Op("dynamicStitch") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "DynamicStitch" + Input(INT, "indices") {count = AtLeast(1); description = "Indices to use when merging. Must be >= 1, same length as input variables" } + Input(NUMERIC, "x") { count = AtLeast(1); description = "Input variables." } + Output(NUMERIC, "output"){ description = "Merged output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Dynamically merge the specified input arrays into a single array, using the specified indices + """.trimIndent() + } + } + + Op("eq") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar.comparison" + javaOpClass = "ScalarEquals" + legacy = true + Input(NUMERIC, "x") { description = "Input array" } + Arg(NUMERIC, "y") { description = "Double value argument to use in operation" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Equals operation: elementwise x == y + """.trimIndent() + } + useMixin(booleanReturnDoc) + } + + Op("eq") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "EqualTo" + Input(NUMERIC, "x") { description = "Input 1" } + Input(NUMERIC, "y") { description = "Input 2" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Equal to operation: elementwise x == y + If x and y arrays have equal shape, the output shape is the same as these inputs. + """.trimIndent() + } + useMixin(broadcastingDoc) + useMixin(booleanReturnDoc) + } + + Op("expandDims") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "ExpandDims" + Input(NDARRAY, "x") { description = "Input variable" } + Arg(INT, "axis") { description = "Axis to expand" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Reshape the input by adding a 1 at the specified location. + For example, if input has shape [a, b], then output shape is: + axis = 0: [1, a, b] + axis = 1: [a, 1, b] + axis = 2: [a, b, 1] + """.trimIndent() + } + } + + Op("fill") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(INT, "shape") { description = "Shape: must be a 1D array/variable" } + Arg(DATA_TYPE, "dataType") { description = "Datatype of the output array" } + Arg(NUMERIC, "value") { description = "Value to set all elements to" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Generate an output variable with the specified (dynamic) shape with all elements set to the specified value + """.trimIndent() + } + } + + Op("gather") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "df") { description = "Input variable" } + Arg(INT, "indices") { count = AtLeast(1); description = "Indices to get" } + Arg(INT, "axis") { description = "Axis that the indices refer to" } + Output(NUMERIC, "output"){ description = "Output variable with slices pulled from the specified axis" } + Doc(Language.ANY, DocScope.ALL){ + """ + Gather slices from the input variable where the indices are specified as fixed int[] values. + Output shape is same as input shape, except for axis dimension, which has size equal to indices.length. + """.trimIndent() + } + } + + Op("gather") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "df") { description = "Input variable" } + Input(INT, "indices") { description = "Indices to get slices for. Rank 0 or 1 input" } + Arg(INT, "axis") { description = "Axis that the indices refer to" } + Output(NUMERIC, "output"){ description = "Output variable with slices pulled from the specified axis" } + Doc(Language.ANY, DocScope.ALL){ + """ + Gather slices from the input variable where the indices are specified as dynamic array values. + Output shape is same as input shape, except for axis dimension, which has size equal to indices.length. + """.trimIndent() + } + } + + Op("gatherNd") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + javaOpClass = "GatherNd" + Input(NUMERIC, "df") {description = "" } + Input(NUMERIC, "indices") {description = "" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + Gather slices from df with shape specified by indices. + """.trimIndent() + } + } + + Op("gt") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar.comparison" + javaOpClass = "ScalarGreaterThan" + legacy = true + Input(NUMERIC, "x") { description = "Input array" } + Arg(NUMERIC, "y") { description = "Double value argument to use in operation" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Greater than operation: elementwise x > y + """.trimIndent() + } + useMixin(booleanReturnDoc) + } + + Op("gt") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "GreaterThan" + Input(NUMERIC, "x") { description = "Input 1" } + Input(NUMERIC, "y") { description = "Input 2" } + Output(NUMERIC, "output"){ description = "Output Boolean array out, with values true/false based on where the condition is satisfied" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Greater than operation: elementwise x > y + If x and y arrays have equal shape, the output shape is the same as these inputs. + """.trimIndent() + } + useMixin(broadcastingDoc) + useMixin(booleanReturnDoc) + } + + Op("gte") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar.comparison" + javaOpClass = "ScalarGreaterThanOrEqual" + legacy = true + Input(NUMERIC, "x") { description = "Input array" } + Arg(NUMERIC, "y") { description = "Double value argument to use in operation" } + Output(NUMERIC, "output"){ description = "Output Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Greater than or equals operation: elementwise x >= y + """.trimIndent() + } + useMixin(booleanReturnDoc) + } + + Op("gte") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "GreaterThanOrEqual" + Input(NUMERIC, "x") { description = "Input 1" } + Input(NUMERIC, "y") { description = "Input 2" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + Greater than or equal to operation: elementwise x >= y + If x and y arrays have equal shape, the output shape is the same as these inputs. + """.trimIndent() + } + useMixin(broadcastingDoc) + useMixin(booleanReturnDoc) + } + + Op("identity") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.same" + Input(NUMERIC, "input") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Elementwise identity operation: out = x + """.trimIndent() + } + } + + Op("invertPermutation") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(INT, "input") { description = "1D indices for permutation" } + Output(INT, "output"){ description = "1D inverted permutation" } + Doc(Language.ANY, DocScope.ALL){ + """ + Compute the inverse permutation indices for a permutation operation + Example: if input is [2, 0, 1] then output is [1, 2, 0] + The idea is that x.permute(input).permute(invertPermutation(input)) == x + """.trimIndent() + } + } + + Op("isNumericTensor") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Output(NDARRAY, "output"){ description = "scalar boolean with value true or false" } + Doc(Language.ANY, DocScope.ALL){ + """ + Is the director a numeric tensor? In the current version of ND4J/SameDiff, this always returns true/1 + """.trimIndent() + } + } + + Op("linspace") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Arg(DATA_TYPE, "dataType") { description = "Data type of the output array" } + Arg(NUMERIC, "start") { description = "Start value" } + Arg(NUMERIC, "stop") { description = "Stop value" } + Arg(LONG, "number") { description = "Number of values to generate" } + Output(NUMERIC, "output"){ description = "INDArray with linearly spaced elements" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Create a new 1d array with values evenly spaced between values 'start' and 'stop' + For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0] + """.trimIndent() + } + } + + Op("linspace") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "start") { description = "Start value" } + Input(NUMERIC, "stop") { description = "Stop value" } + Input(LONG, "number") { description = "Number of values to generate" } + Arg(DATA_TYPE, "dataType") { description = "Data type of the output array" } + Output(NUMERIC, "output"){ description = "INDArray with linearly spaced elements" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Create a new 1d array with values evenly spaced between values 'start' and 'stop' + For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0] + """.trimIndent() + } + } + + Op("lt") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar.comparison" + javaOpClass = "ScalarLessThan" + legacy = true + Input(NUMERIC, "x") { description = "Input array" } + Arg(NUMERIC, "y") { description = "Double value argument to use in operation" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Less than operation: elementwise x < y + """.trimIndent() + } + useMixin(booleanReturnDoc) + } + + Op("lt") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "LessThan" + Input(NUMERIC, "x") {description = "Input 1" } + Input(NUMERIC, "y") {description = "Input 2" } + Output(NUMERIC, "output"){ description = "Output Boolean array out, with values true/false based on where the condition is satisfied" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Less than operation: elementwise x < y + If x and y arrays have equal shape, the output shape is the same as these inputs. + """.trimIndent() + } + useMixin(broadcastingDoc) + useMixin(booleanReturnDoc) + } + + Op("lte") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar.comparison" + javaOpClass = "ScalarLessThanOrEqual" + legacy = true + Input(NUMERIC, "x") { description = "Input array" } + Arg(NUMERIC, "y") { description = "Double value argument to use in operation" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Less than or equals operation: elementwise x <= y + """.trimIndent() + } + useMixin(booleanReturnDoc) + } + + Op("lte") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "LessThanOrEqual" + Input(NUMERIC, "x") { description = "Input 1" } + Input(NUMERIC, "y") { description = "Input 2" } + Output(NUMERIC, "output"){ description = "Output Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Less than or equal to operation: elementwise x <= y + If x and y arrays have equal shape, the output shape is the same as these inputs. + """.trimIndent() + } + useMixin(broadcastingDoc) + useMixin(booleanReturnDoc) + } + + Op("matchCondition") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.bool" + javaOpClass = "MatchConditionTransform" + legacy = true + Input(NUMERIC, "in") { description = "Input" } + Arg(CONDITION, "condition") { description = "Condition" } + Output(NUMERIC, "output"){ description = "Boolean mask" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns a boolean mask of equal shape to the input, where the condition is satisfied - value 1 where satisfied, 0 otherwise + """.trimIndent() + } + } + + Op("matchConditionCount") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.longer" + javaOpClass = "MatchCondition" + legacy = true + Input(NUMERIC, "in") { description = "Input" } + Arg(CONDITION, "condition") { description = "Condition" } + Output(NUMERIC, "output"){ description = "Number of elements that the condition is satisfied for" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns a count of the number of elements that satisfy the condition + """.trimIndent() + } + } + + Op("matchConditionCount") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.longer" + javaOpClass = "MatchCondition" + legacy = true + Input(NUMERIC, "in") { description = "Input variable" } + Arg(CONDITION, "condition") { description = "Condition" } + Arg(BOOL, "keepDim") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=FALSE} + Arg(INT, "dimensions") {count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "Number of elements that the condition is satisfied for" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions) + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("max") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.same" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions" + ; defaultValue=FALSE } + Arg(INT, "dimensions") { count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Max array reduction operation, optionally along specified dimensions + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("max") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "first") { description = "First input array" } + Input(NUMERIC, "second") { description = "Second input array" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise maximum operation: out[i] = max(first[i], second[i]) + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("mean") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.floating" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Mean (average) array reduction operation, optionally along specified dimensions + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("merge") { + javaPackage = "org.nd4j.linalg.api.ops.impl.controlflow.compat" + Input(NUMERIC, "x") { description = "Input variable" } + Input(NUMERIC, "y") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "Output" } + Doc(Language.ANY, DocScope.ALL){ + """ + The merge operation is a control operation that forwards the either of the inputs to the output, when + the first of them becomes available. If both are available, the output is undefined (either input could + be forwarded to the output) + """.trimIndent() + } + } + + + Op("min") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.same" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "Reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Minimum array reduction operation, optionally along specified dimensions. out = min(in) + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("min") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "first") { description = "First input array" } + Input(NUMERIC, "second") { description = "Second input array" } + Output(NUMERIC, "output"){ description = "Second input array" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise minimum operation: out[i] = min(first[i], second[i]) + """.trimIndent() + } + useMixin(broadcastingDoc) + } + + Op("mmul") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + Input(NUMERIC, "x") { description = "First input variable" } + Input(NUMERIC, "y") { description = "Second input variable" } + Arg(BOOL, "transposeX") { description = "Transpose x (first argument)"; defaultValue=false } + Arg(BOOL, "transposeY") { description = "Transpose y (second argument)"; defaultValue=false } + Arg(BOOL, "transposeZ") { description = "Transpose result array"; defaultValue=false } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix multiplication: out = mmul(x,y) + Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc. + """.trimIndent() + } + } + + Op("neq") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar.comparison" + javaOpClass = "ScalarNotEquals" + legacy = true + Input(NUMERIC, "x") { description = "Input array" } + Arg(NUMERIC, "y") { description = "Double value argument to use in operation" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Not equals operation: elementwise x != y + """.trimIndent() + } + useMixin(booleanReturnDoc) + } + + Op("neq") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + javaOpClass = "NotEqualTo" + Input(NUMERIC, "x") { description = "Input 1" } + Input(NUMERIC, "y") { description = "Input 2" } + Output(NUMERIC, "output"){ description = "Boolean array out, with values true/false based on where the condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Not equal to operation: elementwise x != y + If x and y arrays have equal shape, the output shape is the same as these inputs. + """.trimIndent() + } + useMixin(broadcastingDoc) + useMixin(booleanReturnDoc) + } + + Op("norm1") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.floating" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "dimensions to reduce over" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions: + out = sum_i abs(x[i]) + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("norm2") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.floating" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "dimensions dimensions to reduce over" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions: + out = sqrt(sum_i x[i]^2) + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("normmax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.floating" + javaOpClass = "NormMax" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "dimensions to reduce over" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the + specified dimensions: + out = max(abs(x[i])) + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("oneHot") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "indices") { description = "Indices - value 0 to depth-1" } + Arg(INT, "depth") { description = "Number of classes" } + Arg(INT, "axis") { description = "" } + Arg(NUMERIC, "on") { description = "" } + Arg(NUMERIC, "off") { description = "" } + Arg(DATA_TYPE, "dataType") { description = "Output data type"; defaultValue = DataType.FLOAT } + Output(NUMERIC, "output"){ description = "Output variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Convert the array to a one-hot array with walues and for each entry + If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth], + with {out[i, ..., j, in[i,...,j]] with other values being set to + """.trimIndent() + } + } + + Op("oneHot") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "indices") { description = "Indices - value 0 to depth-1" } + Arg(INT, "depth") { description = "Number of classes" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Convert the array to a one-hot array with walues 0 and 1 for each entry + If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth], + with out[i, ..., j, in[i,...,j]] = 1 with other values being set to 0 + see oneHot(SDVariable, int, int, double, double) + """.trimIndent() + } + } + + Op("onesLike") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "input") { description = "Input INDArray " } + Output(NUMERIC, "output"){ description = "A new INDArray with the same (dynamic) shape as the input" } + Doc(Language.ANY, DocScope.ALL){ + """ + Return a variable of all 1s, with the same shape as the input variable. Note that this is dynamic: + if the input shape changes in later execution, the returned variable's shape will also be updated + """.trimIndent() + } + } + + Op("onesLike") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "input") { description = "" } + Arg(DATA_TYPE, "dataType") { description = "" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + As per onesLike(String, SDVariable) but the output datatype may be specified + """.trimIndent() + } + } + + Op("permute") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Input(INT, "dimensions") { description = "Permute dimensions" } + Output(NUMERIC, "output"){ description = "Output variable (permuted input)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Array permutation operation: permute the dimensions according to the specified permutation indices. + Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b] + """.trimIndent() + } + } + + Op("permute") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(INT, "dimensions") { count = AtLeast(0); description = "" } + Output(NUMERIC, "output"){ description = "Output variable (permuted input)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Array permutation operation: permute the dimensions according to the specified permutation indices. + Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b] + """.trimIndent() + } + } + + Op("prod") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.same" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + Product array reduction operation, optionally along specified dimensions + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("range") { + javaPackage = "org.nd4j.linalg.api.ops.random.impl" + Arg(NUMERIC, "from") { description = "Initial/smallest value" } + Arg(NUMERIC, "to") { description = "Largest value (exclusive)" } + Arg(NUMERIC, "step") { description = "Step size" } + Arg(DATA_TYPE, "dataType") { description = "" } + Output(NUMERIC, "output"){ description = "INDArray with the specified values" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Create a new variable with a 1d array, where the values start at from and increment by step + up to (but not including) limit. + For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5] + """.trimIndent() + } + } + + Op("range") { + javaPackage = "org.nd4j.linalg.api.ops.random.impl" + Input(NUMERIC, "from") { description = "Initial/smallest value" } + Input(NUMERIC, "to") { description = "Largest value (exclusive)" } + Input(NUMERIC, "step") { description = "Step size" } + Arg(DATA_TYPE, "dataType") { description = "" } + Output(NUMERIC, "output"){ description = "INDArray with the specified values" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Create a new variable with a 1d array, where the values start at from and increment by step + up to (but not including) limit. + For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5] + """.trimIndent() + } + } + + Op("rank") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "in") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "(scalar) output variable with value equal to the rank of the input variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns the rank (number of dimensions, i.e., length(shape)) of the specified INDArray as a 0D scalar variable + """.trimIndent() + } + } + + /* + Op("repeat") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "df") { description = "" } + Arg(INT, "axis") { description = "" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + see repeat(String, SDVariable, int) + """.trimIndent() + } + } + */ + + Op("replaceWhere") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.comparison" + javaOpClass = "CompareAndReplace" + legacy = true + Input(NUMERIC, "update") { description = "Source array" } + Input(NUMERIC, "from") { description = "Replacement values array (used conditionally). Must be same shape as 'update' array" } + Arg(CONDITION, "condition") { description = "Condition to check on update array elements" } + Output(NUMERIC, "output"){ description = "New array with values replaced where condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise replace where condition: + out[i] = from[i] if condition(update[i]) is satisfied, or + out[i] = update[i] if condition(update[i]) is NOT satisfied + """.trimIndent() + } + } + + Op("replaceWhere") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.comparison" + javaOpClass = "CompareAndSet" + legacy = true + Input(NUMERIC, "update") { description = "Source array" } + Arg(NUMERIC, "value") { description = "Value to set at the output, if the condition is satisfied" } + Arg(CONDITION, "condition") { description = "Condition to check on update array elements" } + Output(NUMERIC, "output"){ description = "New array with values replaced where condition is satisfied" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise replace where condition: + out[i] = value if condition(update[i]) is satisfied, or + out[i] = update[i] if condition(update[i]) is NOT satisfied + """.trimIndent() + } + } + + Op("reshape") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Input(NUMERIC, "shape") { description = "New shape for variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Reshape the input variable to the specified (fixed) shape. The output variable will have the same values as the + input, but with the specified shape. + Note that prod(shape) must match length(input) == prod(input.shape) + """.trimIndent() + } + } + + Op("reshape") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(LONG, "shape") { count=AtLeast(0); description = "New shape for variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Reshape the input variable to the specified (fixed) shape. The output variable will have the same values as the + input, but with the specified shape. + Note that prod(shape) must match length(input) == prod(input.shape) + """.trimIndent() + } + } + + Op("reverse") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(INT, "dimensions") { count = AtLeast(0); description = "Input variable" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Reverse the values of an array for the specified dimensions + If input is: + [ 1, 2, 3] + [ 4, 5, 6] + then + reverse(in, 0): + [3, 2, 1] + [6, 5, 4] + reverse(in, 1): + [4, 5, 6] + [1, 2 3] + """.trimIndent() + } + } + + Op("reverseSequence") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.custom" + Input(NUMERIC, "x") { description = "Input variable" } + Input(INT, "seq_lengths") { description = "Length of the sequences" } + Arg(INT, "seqDim") { description = "Sequence dimension"; defaultValue=-1} + Arg(INT, "batchDim") { description = "Batch dimension"; defaultValue=0 } + Output(NUMERIC, "output"){ description = "Reversed sequences" } + Doc(Language.ANY, DocScope.ALL){ + """ + Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed + """.trimIndent() + } + } + + Op("scalarFloorMod") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + javaOpClass = "ScalarFMod" + legacy = true + Input(NUMERIC, "in") { description = "Input variable" } + Arg(NUMERIC, "value") { description = "Scalar value to compare" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise scalar floor modulus operation: out = floorMod(in, value). + i.e., returns the remainder after division by 'value' + """.trimIndent() + } + } + + Op("scalarMax") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + legacy = true + Input(NUMERIC, "in") { description = "Input variable" } + Arg(NUMERIC, "value") { description = "Scalar value to compare" } + Output(NUMERIC, "output"){ description = "Scalar value to compare" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise scalar maximum operation: out = max(in, value) + """.trimIndent() + } + } + + Op("scalarMin") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + legacy = true + Input(NUMERIC, "in") { description = "Input variable" } + Arg(NUMERIC, "value") { description = "Scalar value to compare" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Element-wise scalar minimum operation: out = min(in, value) + """.trimIndent() + } + } + + Op("scalarSet") { + javaPackage = "org.nd4j.linalg.api.ops.impl.scalar" + legacy = true + Input(NUMERIC, "in") { description = "Input variable" } + Arg(NUMERIC, "set") { description = "Value to set" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Return a variable with equal shape to the input, but all elements set to value 'set' + """.trimIndent() + } + } + + Op("scatterAdd") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter addition operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("scatterDiv") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter division operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("scatterMax") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter max operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("scatterMin") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter min operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("scatterMul") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter multiplication operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("scatterSub") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter subtraction operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("scatterUpdate") { + useMixin(scatterOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Scatter update operation. + """.trimIndent() + } + useMixin(scatterDoc) + } + + Op("segmentMax") { + useMixin(segmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Segment max operation. + """.trimIndent() + } + useMixin(segmentDoc) + } + + Op("segmentMean") { + useMixin(segmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Segment mean operation. + """.trimIndent() + } + useMixin(segmentDoc) + } + + Op("segmentMin") { + useMixin(segmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Segment min operation. + """.trimIndent() + } + useMixin(segmentDoc) + } + + Op("segmentProd") { + useMixin(segmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Segment product operation. + """.trimIndent() + } + useMixin(segmentDoc) + } + + Op("segmentSum") { + useMixin(segmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Segment sum operation. + """.trimIndent() + } + useMixin(segmentDoc) + } + + Op("sequenceMask") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "lengths") { description = "Lengths of the sequences" } + Arg(INT, "maxLen") { description = "Maximum sequence length" } + Arg(DATA_TYPE, "dataType") { description = "" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Generate a sequence mask (with values 0 or 1) based on the specified lengths + Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0) + """.trimIndent() + } + } + + Op("sequenceMask") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "lengths") { description = "Lengths of the sequences" } + Input(INT, "maxLen") { description = "Maximum sequence length" } + Arg(DATA_TYPE, "dataType") { description = "" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Generate a sequence mask (with values 0 or 1) based on the specified lengths + Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0) + """.trimIndent() + } + } + + Op("sequenceMask") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "lengths") { description = "" } + Arg(DATA_TYPE, "dataType") { description = "" } + Output(NUMERIC, "output"){ description = "" } + + Doc(Language.ANY, DocScope.ALL){ + """ + see sequenceMask(String, SDVariable, SDVariable, DataType) + """.trimIndent() + } + } + + Op("shape") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "input") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "1D output variable with contents equal to the shape of the input" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns the shape of the specified INDArray as a 1D INDArray + """.trimIndent() + } + } + + Op("size") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "in") { description = "Input variable" } + Output(NUMERIC, "output"){ description = "0D (scalar) output variable with value equal to the number of elements in the specified array" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns the size (number of elements, i.e., prod(shape)) of the specified INDArray as a 0D scalar variable + """.trimIndent() + } + } + + Op("sizeAt") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "in") { description = "Input variable" } + Arg(INT, "dimension") { description = "Dimension to get size of" } + Output(NUMERIC, "output"){ description = "Scalar INDArray for size at specified variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Returns a rank 0 (scalar) variable for the size of the specified dimension. + For example, if X has shape [10,20,30] then sizeAt(X,1)=20. Similarly, sizeAt(X,-1)=30 + """.trimIndent() + } + } + + Op("slice") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "input") { description = "input Variable to get subset of" } + Arg(INT, "begin") { count = AtLeast(1); description = "Beginning index. Must be same length as rank of input array" } + Arg(INT, "size") { count = AtLeast(1); description = "Size of the output array. Must be same length as rank of input array" } + Output(NUMERIC, "output"){ description = "Subset of the input" } + Doc(Language.ANY, DocScope.ALL){ + """ + Get a subset of the specified input, by specifying the first element and the size of the array. + For example, if input is: + [a, b, c] + [d, e, f] + then slice(input, begin=[0,1], size=[2,1] will return: + [b] + [e] + Note that for each dimension i, begin[i] + size[i] <= input.size(i) + """.trimIndent() + } + } + + Op("slice") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "input") { description = "input Variable to get subset of" } + Input(INT, "begin") { description = "Beginning index. Must be same length as rank of input array" } + Input(INT, "size") { description = "Size of the output array. Must be same length as rank of input array" } + Output(NUMERIC, "output"){ description = "Subset of the input" } + Doc(Language.ANY, DocScope.ALL){ + """ + Get a subset of the specified input, by specifying the first element and the size of the array. + For example, if input is: + [a, b, c] + [d, e, f] + then slice(input, begin=[0,1], size=[2,1] will return: + [b] + [e] + Note that for each dimension i, begin[i] + size[i] <= input.size(i) + """.trimIndent() + } + } + + Op("squaredNorm") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.floating" + legacy = true + Input(NUMERIC, "x") { description = "" } + Arg(BOOL, "keepDims") { description = ""; defaultValue=false } + Arg(INT, "dimensions") { count = AtLeast(0); description = "" } + Output(NUMERIC, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + Squared L2 norm: see norm2(String, SDVariable, boolean, int...) + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("squeeze") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "x") { description = "Input variable" } + Arg(INT, "axis") { description = "Size 1 dimension to remove" } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Remove a single dimension of size 1. + For example, if input has shape [a,b,1,c] then squeeze(input, 2) returns an array of shape [a,b,c] + """.trimIndent() + } + } + + Op("stack") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + argsFirst = true + Input(NDARRAY, "values") { count=AtLeast(1); description = "Input variables to stack. Must have the same shape for all inputs" } + Arg(INT, "axis") { description = "Axis to stack on" } + Output(NDARRAY, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Stack a set of N INDArray of rank X into one rank X+1 variable. + If inputs have shape [a,b,c] then output has shape: + axis = 0: [N,a,b,c] + axis = 1: [a,N,b,c] + axis = 2: [a,b,N,c] + axis = 3: [a,b,c,N] + see unstack(String[], SDVariable, int, int) + """.trimIndent() + } + } + + Op("standardDeviation") { + javaPackage = "org.nd4j.linalg.api.ops.impl.summarystats" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "biasCorrected") { description = "If true: divide by (N-1) (i.e., sample stdev). If false: divide by N (population stdev)" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count= AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Stardard deviation array reduction operation, optionally along specified dimensions + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("stridedSlice") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "in") { description = "Variable to get subset of" } + Arg(LONG, "begin") { count = AtLeast(1); description = "Beginning index" } + Arg(LONG, "end") { count = AtLeast(1); description = "End index" } + Arg(LONG, "strides") { count = AtLeast(1); description = "Stride (\"step size\") for each dimension. For example, stride of 2 means take every second element." } + Arg(INT, "beginMask") { description = "Bit mask: If the ith bit is set to 1, then the value in the begin long[] is ignored, and a value of 0 is used instead for the beginning index for that dimension"; defaultValue=0 } + Arg(INT, "endMask") { description = "Bit mask: If the ith bit is set to 1, then the value in the end long[] is ignored, and a value of size(i)-1 is used instead for the end index for that dimension"; defaultValue=0 } + Arg(INT, "ellipsisMask") { description = "Bit mask: only one non-zero value is allowed here. If a non-zero value is set, then other dimensions are inserted as required at the specified position"; defaultValue=0 } + Arg(INT, "newAxisMask") { description = "Bit mask: if the ith bit is set to 1, then the begin/end/stride values are ignored, and a size 1 dimension is inserted at this point"; defaultValue=0 } + Arg(INT, "shrinkAxisMask") { description = "Bit mask: if the ith bit is set to 1, then the begin/end/stride values are ignored, and a size 1 dimension is removed at this point. Note that begin/end/stride values must result in a size 1 output for these dimensions"; defaultValue=0 } + Output(NUMERIC, "output"){ description = "A subset of the input array" } + Doc(Language.ANY, DocScope.ALL){ + """ + Get a subset of the specified input, by specifying the first element, last element, and the strides. + For example, if input is: + [a, b, c] + [d, e, f] + [g, h, i] + then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return: + [b, c] + [h, i] + """.trimIndent() + } + } + + Op("sum") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.same" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as length 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count= AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "reduced array of rank (input rank - num dimensions) if keepDims = false, or of rank (input rank) if keepdims = true" } + Doc(Language.ANY, DocScope.ALL){ + """ + Sum array reduction operation, optionally along specified dimensions. + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("switchOp") { + javaPackage = "org.nd4j.linalg.api.ops.impl.controlflow.compat" + javaOpClass = "Switch" + legacy = false + Input(NDARRAY, "x") { description = "Input variable" } + Input(BOOL, "predicate"){ description = "Predictate - if false, values are output to left (first) branch/output; if true, to right (second) branch/output"} + Output(NUMERIC, "outputLeft"){ description = "Output when predicate is false" } + Output(NUMERIC, "outputRight"){ description = "Output when predicate is false" } + Doc(Language.ANY, DocScope.ALL){ + """ + Switch operation + Predictate - if false, values are output to left (first) branch/output; if true, to right (second) branch/output + """.trimIndent() + } + } + + Op("tensorMmul") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce" + Input(NUMERIC, "x") { description = "Input variable x" } + Input(NUMERIC, "y") { description = "Input variable y" } + Arg(INT, "dimensionsX") { count=AtLeast(1); description = "dimensions for first input array (x)" } + Arg(INT, "dimensionsY") { count=AtLeast(1); description = "dimensions for second input array (y)" } + Arg(BOOL, "transposeX") { description = "Transpose x (first argument)"; defaultValue=false } + Arg(BOOL, "transposeY") { description = "Transpose y (second argument)"; defaultValue=false } + Arg(BOOL, "transposeZ") { description = "Transpose result array"; defaultValue=false } + Output(NUMERIC, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + //TODO: Ops must be documented. + """.trimIndent() + } + } + + Op("tile") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NDARRAY, "x") { description = "Input variable" } + Input(INT, "repeat") { description = "Number of times to repeat in each axis. Must have length equal to the rank of the input array" } + Output(NDARRAY, "output"){ description = "Output variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Repeat (tile) the input tensor the specified number of times. + For example, if input is + [1, 2] + [3, 4] + and repeat is [2, 3] + then output is + [1, 2, 1, 2, 1, 2] + [3, 4, 3, 4, 3, 4] + [1, 2, 1, 2, 1, 2] + [3, 4, 3, 4, 3, 4] + """.trimIndent() + } + } + + Op("tile") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NDARRAY, "x") { description = "" } + Arg(INT, "repeat") { count= AtLeast(1); description = "" } + Output(NDARRAY, "output"){ description = "" } + Doc(Language.ANY, DocScope.ALL){ + """ + see tile(String, SDVariable, int...) + """.trimIndent() + } + } + + Op("transpose") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NDARRAY, "x") { description = "Input variable" } + Output(NDARRAY, "output"){ description = "transposed input" } + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix transpose operation: If input has shape [a,b] output has shape [b,a] + """.trimIndent() + } + } + + Op("unsortedSegmentMax") { + useMixin(unsortedSegmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Unsorted segment max operation. As per segmentMax(String, SDVariable, SDVariable) but without + the requirement for the indices to be sorted. + If data = [1, 3, 2, 6, 4, 9, 8] + segmentIds = [1, 0, 2, 0, 1, 1, 2] + then output = [6, 9, 8] = [max(3,6), max(1,4,9), max(2,8)] + """.trimIndent() + } + } + + Op("unsortedSegmentMean") { + useMixin(unsortedSegmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Unsorted segment mean operation. As per segmentMean(String, SDVariable, SDVariable) but without + the requirement for the indices to be sorted. + If data = [1, 3, 2, 6, 4, 9, 8] + segmentIds = [1, 0, 2, 0, 1, 1, 2] + then output = [4.5, 4.666, 5] = [mean(3,6), mean(1,4,9), mean(2,8)] + """.trimIndent() + } + } + + Op("unsortedSegmentMin") { + useMixin(unsortedSegmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Unsorted segment min operation. As per segmentMin(String, SDVariable, SDVariable) but without + the requirement for the indices to be sorted. + If data = [1, 3, 2, 6, 4, 9, 8] + segmentIds = [1, 0, 2, 0, 1, 1, 2] + then output = [3, 1, 2] = [min(3,6), min(1,4,9), min(2,8)] + """.trimIndent() + } + } + + Op("unsortedSegmentProd") { + useMixin(unsortedSegmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Unsorted segment product operation. As per segmentProd(String, SDVariable, SDVariable) but without + the requirement for the indices to be sorted. + If data = [1, 3, 2, 6, 4, 9, 8] + segmentIds = [1, 0, 2, 0, 1, 1, 2] + then output = [4.5, 4.666, 5] = [mean(3,6), mean(1,4,9), mean(2,8)] + """.trimIndent() + } + } + + Op("unsortedSegmentSqrtN") { + useMixin(unsortedSegmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Unsorted segment sqrtN operation. Simply returns the sqrt of the count of the number of values in each segment + If data = [1, 3, 2, 6, 4, 9, 8] + segmentIds = [1, 0, 2, 0, 1, 1, 2] + then output = [1.414, 1.732, 1.414] = [sqrt(2), sqrtN(3), sqrtN(2)] + """.trimIndent() + } + } + + Op("unsortedSegmentSum") { + useMixin(unsortedSegmentOp) + Doc(Language.ANY, DocScope.ALL){ + """ + Unsorted segment sum operation. As per segmentSum(String, SDVariable, SDVariable) but without + the requirement for the indices to be sorted. + If data = [1, 3, 2, 6, 4, 9, 8] + segmentIds = [1, 0, 2, 0, 1, 1, 2] + then output = [9, 14, 10] = [sum(3,6), sum(1,4,9), sum(2,8)] + """.trimIndent() + } + } + + Op("variance") { + javaPackage = "org.nd4j.linalg.api.ops.impl.summarystats" + legacy = true + Input(NUMERIC, "x") { description = "Input variable" } + Arg(BOOL, "biasCorrected") { description = "If true: divide by (N-1) (i.e., sample variable). If false: divide by N (population variance)" } + Arg(BOOL, "keepDims") { description = "If true: keep the dimensions that are reduced on (as size 1). False: remove the reduction dimensions"; defaultValue=false } + Arg(INT, "dimensions") { count=AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(NUMERIC, "output"){ description = "reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Variance array reduction operation, optionally along specified dimensions + """.trimIndent() + } + useMixin(keepDimsDoc) + } + + Op("zerosLike") { + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NUMERIC, "input") { description = "Input " } + Output(NUMERIC, "output"){ description = "A new Variable with the same (dynamic) shape as the input" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Return a variable of all 0s, with the same shape as the input variable. Note that this is dynamic: + if the input shape changes in later execution, the returned variable's shape will also be updated + """.trimIndent() + } + } + + Op("any") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.bool" + legacy = true + Input(NDARRAY, "x") { description = " Input variable" } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(BOOL, "output"){ description = "reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Boolean or array reduction operation, optionally along specified dimensions + """.trimIndent() + } + } + + Op("all") { + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.bool" + legacy = true + Input(NDARRAY, "x") { description = "Input variable" } + Arg(INT, "dimensions"){ count = AtLeast(0); description = "Dimensions to reduce over. If dimensions are not specified, full array reduction is performed" } + Output(BOOL, "output"){ description = "reduced array of rank (input rank - num dimensions)" } + Doc(Language.ANY, DocScope.ALL){ + """ + Boolean and array reduction operation, optionally along specified dimensions + """.trimIndent() + } + } + + Op("castTo"){ + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.dtype" + javaOpClass = "Cast" + Input(NDARRAY, "arg") { description = "Input variable to cast"} + Arg(DATA_TYPE, "datatype"){ description = "Datatype to cast to"} + Output(NDARRAY, "output"){ description = "Output array (after casting)"} + Doc(Language.ANY, DocScope.ALL){ + """ + Cast the array to a new datatype - for example, Integer -> Float + """.trimIndent() + } + } + + + Op("batchMmul"){ + javaPackage = "org.nd4j.linalg.api.ops.impl.reduce.custom" + Input(NUMERIC, "inputsA"){ count = AtLeast(1); description = "First array of input matrices, all of shape (M, N) or (N, M)"} + Input(NUMERIC, "inputsB"){ count = AtLeast(1); description = " Second array of input matrices, all of shape (N, K) or (K, N)"} + Arg(BOOL, "transposeA"){ description = "Whether to transpose A arrays or not"; defaultValue=false} + Arg(BOOL, "transposeB"){ description = "Whether to transpose B arrays or not"; defaultValue=false} + Output(NUMERIC, "output1"){multiOutput=true; description = "Array of multiplied SDVariables of shape (M, K)"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Matrix multiply a batch of matrices. matricesA and matricesB have to be arrays of same + length and each pair taken from these sets has to have dimensions (M, N) and (N, K), + respectively. If transposeA is true, matrices from matricesA will have shape (N, M) instead. + Likewise, if transposeB is true, matrices from matricesB will have shape (K, N). + + The result of this operation will be a batch of multiplied matrices. The + result has the same length as both input batches and each output matrix is of shape (M, K). + """.trimIndent() + } + } + + Op("unstack"){ + javaPackage = "org.nd4j.linalg.api.ops.impl.shape" + Input(NDARRAY, "value"){ description="Input variable to unstack"} + Arg(INT, "axis"){description = "Axis to unstack on"} + Arg(INT, "num"){ description = "Number of output variables"} + + Doc(Language.ANY, DocScope.ALL){ + """ + Unstack a variable of rank X into N rank X-1 variables by taking slices along the specified axis. + If input has shape [a,b,c] then output has shape: + axis = 0: [b,c] + axis = 1: [a,c] + axis = 2: [a,b] + """.trimIndent() + } + } +} diff --git a/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/SDLoss.kt b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/SDLoss.kt new file mode 100644 index 000000000..d8706bd02 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/ops/org/nd4j/codegen/ops/SDLoss.kt @@ -0,0 +1,275 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +/** + * Generated using ExtractFromExisting.kt + */ + +package org.nd4j.codegen.ops + +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.dsl.* +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.LossReduce + +fun SDLoss() = Namespace("Loss"){ + + Op("absoluteDifference") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "AbsoluteDifferenceLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Output(NUMERIC, "output"){ description = "loss variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Absolute difference loss: {@code sum_i abs( label[i] - predictions[i] )} + """.trimIndent() + } + } + + Op("cosineDistance") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "CosineDistanceLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is use" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Arg(INT, "dimension") { description = "Dimension to perform the cosine distance over" } + Output(NUMERIC, "output"){ description = "Cosine distance loss " } + Doc(Language.ANY, DocScope.ALL){ + """ + Cosine distance loss: {@code 1 - cosineSimilarity(x,y)} or {@code 1 - sum_i label[i] * prediction[i]}, which is + equivalent to cosine distance when both the predictions and labels are normalized.
+ Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm. + If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...) + along the cosine distance dimension (with keepDims=true). + """.trimIndent() + } + } + + Op("hingeLoss") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "HingeLoss" + Input(NUMERIC, "label") { description = "Label array. Each value should be 0.0 or 1.0 (internally -1 to 1 is used)" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Output(NUMERIC, "output"){ description = "Loss variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Hinge loss: a loss function used for training classifiers. + Implements {@code L = max(0, 1 - t * predictions)} where t is the label values after internally converting to {-1,1} + from the user specified {0,1}. Note that Labels should be provided with values {0,1}. + """.trimIndent() + } + } + + + Op("huberLoss") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "HuberLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Arg(FLOATING_POINT, "delta") { description = "Loss function delta value" } + Output(NUMERIC, "output"){ description = "Huber loss" } + Doc(Language.ANY, DocScope.ALL){ + """ + Huber loss function, used for robust regression. It is similar both squared error loss and absolute difference loss, + though is less sensitive to outliers than squared error.
+ Huber loss implements: + 
+                {@code L = 0.5 * (label[i] - predictions[i])^2 if abs(label[i] - predictions[i]) < delta}
+                {@code L = delta * abs(label[i] - predictions[i]) - 0.5 * delta^2 otherwise}
+
+ """.trimIndent() + } + } + + Op("l2Loss") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "L2Loss" + Input(NUMERIC, "var") { description = "Variable to calculate L2 loss of" } + Output(NUMERIC, "output"){ description = "L2 loss" } + Doc(Language.ANY, DocScope.ALL){ + """ + L2 loss: 1/2 * sum(x^2) + """.trimIndent() + } + } + + Op("logLoss") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "LogLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used"; defaultValue = null } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Arg(FLOATING_POINT, "epsilon") { description = "epsilon"; defaultValue = 0.0 } + Output(NUMERIC, "output"){ description = "Log loss " } + Doc(Language.ANY, DocScope.ALL){ + """ + Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification. Implements: + {@code -1/numExamples * sum_i (labels[i] * log(predictions[i] + epsilon) + (1-labels[i]) * log(1-predictions[i] + epsilon))} + """.trimIndent() + } + } + + Op("logPoisson") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "LogPoissonLoss" + Input(NUMERIC, "label") { description = "Label array. Each value should be 0.0 or 1.0" } + Input(NUMERIC, "predictions") { description = "Predictions array (has to be log(x) of actual predictions)" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Arg(BOOL, "full") {description = "Boolean flag. true for logPoissonFull, false for logPoisson"} + Output(NUMERIC, "output"){ description = "Loss variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Log poisson loss: a loss function used for training classifiers. + Implements {@code L = exp(c) - z * c} where c is log(predictions) and z is labels. + """.trimIndent() + } + } + + // logPoissonFull is not implemented. Simply a moniker for logPoisson with full = true + + Op("meanPairwiseSquaredError") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "MeanPairwiseSquaredErrorLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used. Must be either null, scalar, or have shape [batchSize]" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Output(NUMERIC, "output"){ description = "Loss variable, scalar output" } + Doc(Language.ANY, DocScope.ALL){ + """ + Mean pairwise squared error.
+ MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays. + For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is: + {@code [((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3}
+ """.trimIndent() + } + } + + Op("meanSquaredError") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "MeanSquaredErrorLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictions") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Output(NUMERIC, "output"){ description = "Loss variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Mean squared error loss function. Implements {@code (label[i] - prediction[i])^2} - i.e., squared error on a per-element basis. + When averaged (using LossReduce#MEAN_BY_WEIGHT or LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT (the default)) + this is the mean squared error loss function. + """.trimIndent() + } + } + + Op("sigmoidCrossEntropy") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "SigmoidCrossEntropyLoss" + Input(NUMERIC, "label") { description = "Label array" } + Input(NUMERIC, "predictionLogits") { description = "Predictions array" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Arg(FLOATING_POINT, "labelSmoothing") { description = "Label smoothing value. Default value: 0"; defaultValue = 0.0} + Output(NUMERIC, "output"){ description = "Loss variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions") + and implements the binary cross entropy loss function. This implementation is numerically more stable than using + standard (but separate) sigmoid activation function and log loss (binary cross entropy) loss function.
+ Implements: + {@code -1/numExamples * sum_i (labels[i] * log(sigmoid(logits[i])) + (1-labels[i]) * log(1-sigmoid(logits[i])))} + though this is done in a mathematically equivalent but more numerical stable form.
+
+ When label smoothing is > 0, the following label smoothing is used:
+ 
+                {@code numClasses = labels.size(1);
+                label = (1.0 - labelSmoothing) * label + 0.5 * labelSmoothing}
+
+ """.trimIndent() + } + } + + Op("softmaxCrossEntropy") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "SoftmaxCrossEntropyLoss" + Input(NUMERIC, "oneHotLabels") { description = "Label array. Should be one-hot per example and same shape as predictions (for example, [mb, nOut])" } + Input(NUMERIC, "logitPredictions") { description = "Predictions array (pre-softmax)" } + Input(NUMERIC, "weights") { description = "Weights array. May be null. If null, a weight of 1.0 is used" } + Arg(LOSS_REDUCE, "lossReduce") { description = "Reduction type for the loss. See LossReduce for more details. Default: LossReduce#MEAN_BY_NONZERO_WEIGHT_COUNT"; defaultValue = LossReduce.MEAN_BY_NONZERO_WEIGHT_COUNT} + Arg(FLOATING_POINT, "labelSmoothing") { description = "Label smoothing value. Default value: 0"; defaultValue = 0.0} + Output(NUMERIC, "output"){ description = "Loss variable" } + Doc(Language.ANY, DocScope.ALL){ + """ + Applies the softmax activation function to the input, then implement multi-class cross entropy:
+ {@code -sum_classes label[i] * log(p[c])} where {@code p = softmax(logits)}
+ If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels; + otherwise, the output is a scalar.
+

+ When label smoothing is > 0, the following label smoothing is used:
+ 

+                {@code numClasses = labels.size(1);
+                oneHotLabel = (1.0 - labelSmoothing) * oneHotLabels + labelSmoothing/numClasses}
+
+ """.trimIndent() + } + } + + Op("sparseSoftmaxCrossEntropy") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "SparseSoftmaxCrossEntropyLossWithLogits" + Input(NUMERIC, "logits") { description = "Logits array (\"pre-softmax activations\")" } + Input(INT, "labels") { description = "Labels array. Must be an integer type." } + Output(NUMERIC, "output"){ description = "Softmax cross entropy" } + Doc(Language.ANY, DocScope.ALL){ + """ + As per softmaxCrossEntropy(String, SDVariable, SDVariable, LossReduce) but the labels variable + is represented as an integer array instead of the equivalent one-hot array.
+ i.e., if logits are rank N, then labels have rank N-1 + """.trimIndent() + } + } + + + Op("weightedCrossEntropyWithLogits") { + javaPackage = "org.nd4j.linalg.api.ops.impl.loss" + javaOpClass = "WeightedCrossEntropyLoss" + Input(NUMERIC, "targets") { description = "targets array" } + Input(NUMERIC, "inputs") { description = "input array" } + Input(NUMERIC, "weights") { description = "eights array. May be null. If null, a weight of 1.0 is used" } + Output(NUMERIC, "output"){ description = "Loss variable" } + + Doc(Language.ANY, DocScope.ALL){ + """ + Weighted cross entropy loss with logits + """.trimIndent() + } + } +} diff --git a/contrib/codegen-tools/codegen/src/main/resources/logback.xml b/contrib/codegen-tools/codegen/src/main/resources/logback.xml new file mode 100644 index 000000000..e3d6a28cf --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/resources/logback.xml @@ -0,0 +1,51 @@ + + + + + + + + logs/application.log + + %logger{15} - %message%n%xException{5} + + + + + + + %logger{15} - %message%n%xException{5} + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/main/resources/namespaces/math.json b/contrib/codegen-tools/codegen/src/main/resources/namespaces/math.json new file mode 100644 index 000000000..59ea7917d --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/resources/namespaces/math.json @@ -0,0 +1,54 @@ +{ "name" : "math", + + "include" : [ + + ], + + "ops": [ + + { + "opName" : "BaseArithmeticOp", + "isAbstract" : true, + "javaPackage" : "org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic", + "inputs" : [ { + "name" : "x", + "description" : "First input to %OPNAME%", + "constraints" : ["T"] + }, { + "name" : "y", + "description" : "Second input to %OPNAME%", + "constraints" : ["T"] + } ], + "outputs" : [ { + "name" : "z", + "description" : "Output array after executing %OPNAME% on inputs" + } ], + "args" : null, + "constraints" : { + "T": { + "type": "allowed_dtype", + "values": [ + "NUMERICAL" + ] + } + }, + "doc" : [ { + "scope" : "ALL", + "language" : "ANY", + "text" : "%OPNAME% op doc text that will appear everywhere - classes, constructors, op creators" + } ] + }, + + + { + "opName" : "Add", + "libnd4jOpName" : "add", + "extendsOp" : "BaseArithmeticOp" + }, + + { + "opName" : "Sub", + "libnd4jOpName" : "sub", + "extendsOp" : "BaseArithmeticOp" + } +]} diff --git a/contrib/codegen-tools/codegen/src/main/resources/nd4j-op-defs-2.proto b/contrib/codegen-tools/codegen/src/main/resources/nd4j-op-defs-2.proto new file mode 100644 index 000000000..747cc4414 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/resources/nd4j-op-defs-2.proto @@ -0,0 +1,20155 @@ +opList { + name: "Assert" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "BinaryMinimalRelativeError" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "thresholdRelative" + argType: DOUBLE + } + argDescriptor { + name: "thresholdAbsolute" + argType: DOUBLE + argIndex: 1 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "BinaryRelativeError" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "threshold" + argType: DOUBLE + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "ClipByValue" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "clipValueMin" + argType: DOUBLE + } + argDescriptor { + name: "clipValueMax" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } +} +opList { + name: "Conditional" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "ExternalErrorsFn" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "Floor" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "Log1p" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "ParallelConcat" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "Pow" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "Pow_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdz" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdx" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdy" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdy" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "Reciprocal" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "RelativeError" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "Return" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "Scope" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "Switch" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: DIVERGENT_OP_IMPL +} +opList { + name: "Where" + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "While" + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "isConstant" + argType: BOOL + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "_geluderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_mishderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_powderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "pow" + argType: DOUBLE + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_precise_geluderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "precise" + argType: BOOL + argIndex: 1 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_sigmoidderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_swishderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_tanhderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "abs" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "absolute_difference_loss" + argDescriptor { + name: "predictions" + argType: INPUT_TENSOR + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "labels" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "reductionMode" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "absolute_difference_loss_grad" + argDescriptor { + name: "predictions" + argType: INPUT_TENSOR + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "labels" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdp" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdw" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdl" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "reductionMode" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "acos" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "acosh" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "ada_delta_updater" + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + } + argDescriptor { + name: "initStateMsg" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "initStateMsdx" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "rho" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "updatedStateMsdx" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "update" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "stateMsg" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "stateMsdx" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dRho" + argType: DOUBLE + } + argDescriptor { + name: "dEpsilon" + argType: DOUBLE + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "ada_grad_updater" + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + } + argDescriptor { + name: "initState" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "lr" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "update" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "stateH" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLr" + argType: DOUBLE + } + argDescriptor { + name: "dEpsilon" + argType: DOUBLE + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "ada_max_updater" + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + } + argDescriptor { + name: "initStateU" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "initStateM" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "lr" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "beta1" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "beta2" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "update" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "stateU" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "stateM" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLr" + argType: DOUBLE + } + argDescriptor { + name: "dBeta1" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "dBeta2" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "dEpsilon" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "iteration" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "adam_updater" + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + } + argDescriptor { + name: "initStateU" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "initStateM" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "lr" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "beta1" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "beta2" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "update" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "stateU" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "stateM" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLr" + argType: DOUBLE + } + argDescriptor { + name: "dBeta1" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "dBeta2" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "dEpsilon" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "iteration" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "add" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "add_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "add_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "adjust_contrast" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "factor" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "adjust_contrast_v2" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "factor" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "adjust_hue" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "delta" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "factor" + argType: DOUBLE + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "adjust_saturation" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "factor" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "factor" + argType: DOUBLE + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "all" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "alpha_dropout" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "a" + argType: DOUBLE + } + argDescriptor { + name: "b" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "alphaPrime" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "beta" + argType: DOUBLE + argIndex: 3 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "alpha_dropout_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "reduceShape" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "probValue" + argType: DOUBLE + } + argDescriptor { + name: "alphaValue" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "alpha1Value" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "betaValue" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "seed" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "amax" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "amax_pairwise" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "amean" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "amin" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } 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argDescriptor { + name: "oldFormat" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "exit" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "exp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "expand_dims" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "expm1" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "expose" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "extract_image_patches" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "sameMode" + argType: BOOL + } + argDescriptor { + name: "ksizeRows" + argType: INT64 + } + argDescriptor { + name: "ksizeCols" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "kstrideRows" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "kstrideCols" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "krateRows" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "krateCols" + argType: INT64 + argIndex: 5 + } + argDescriptor { + name: "isSameMode" + argType: INT64 + argIndex: 6 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "eye" + argDescriptor { + name: "numRows" + argType: INPUT_TENSOR + } + argDescriptor { + name: "numCols" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DOUBLE + } + argDescriptor { + name: "numRows" + argType: INT64 + } + argDescriptor { + name: "numCols" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "batchDimension" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dataType" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "fake_quant_with_min_max_args" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "min" + argType: DOUBLE + } + argDescriptor { + name: "max" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "narrowRange" + argType: BOOL + } + argDescriptor { + name: "numBits" + argType: INT64 + } +} +opList { + name: "fake_quant_with_min_max_vars" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "min" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "max" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "m" + argType: DOUBLE + } + argDescriptor { + name: "m2" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "narrowed" + argType: BOOL + } + argDescriptor { + name: "numBits" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "fake_quant_with_min_max_vars_per_channel" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "min" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "max" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "narrowed" + argType: BOOL + } + argDescriptor { + name: "numBits" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "fill" + argDescriptor { + name: "shapeArray" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "value" + argType: DOUBLE + } + argDescriptor { + name: "outputDataType" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "fill_as" + argDescriptor { + name: "s" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "firas_sparse" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "first_index" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "compare" + argType: DOUBLE + } + argDescriptor { + name: "eps" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "mode" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "flatten" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "order" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "floor" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "floordiv" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "floordiv_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "floormod" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "floormod_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "fmod" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "fmod_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "fused_batch_norm" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "scale" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "offset" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "mean" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "variance" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "batchMeanVar" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "y" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "batchMean" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "batchVar" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "epsilon" + argType: DOUBLE + } + argDescriptor { + name: "dataFormat" + argType: INT64 + } + argDescriptor { + name: "isTraining" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gather" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "intArgs" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gather_list" + argDescriptor { + name: "list" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "gather_nd" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "checkIndices" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gelu" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "precise" + argType: BOOL + argIndex: 1 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "get_seed" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gradientbackwards" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "greater" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_BOOL_OP_IMPL +} +opList { + name: "greater_equal" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_BOOL_OP_IMPL +} +opList { + name: "greaterthan_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "greaterthanorequal_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "grid_free" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "gru" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "hI" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "Wh" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gruCell" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "hLast" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wru" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "Wc" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "bru" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "bc" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "r" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "u" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gruCell_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "hi" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "W" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "Wc" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "bc" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "dLdr" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "dLdu" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "dLdc" + argType: INPUT_TENSOR + argIndex: 8 + } + argDescriptor { + name: "dLdh" + argType: INPUT_TENSOR + argIndex: 9 + } + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdhi" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdW" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdWc" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdb" + argType: OUTPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dLdbc" + argType: OUTPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "gru_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "hI" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "Wh" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dLdh" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdhI" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdWx" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdWh" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdb" + argType: OUTPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "hammingdistance" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "allDistances" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "hard_sigmoid" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "hard_sigmoidderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "hardsigmoid" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "hardsigmoid_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "hardtanh" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "hardtanh_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "hardtanhderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "hashcode" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "hasinf" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "hasnan" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + 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opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "lrn" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "bias" + argType: DOUBLE + } + argDescriptor { + name: "alpha" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "beta" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "depth" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "lrn_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "bias" + argType: DOUBLE + } + argDescriptor { + name: "alpha" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "beta" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: 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argIndex: 1 + } + argDescriptor { + name: "forgetBias" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "peephole" + argType: INT64 + } + argDescriptor { + name: "projection" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmBlock" + argDescriptor { + name: "maxTSLength" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "cLast" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "yLast" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "W" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "Wci" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "Wcf" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "Wco" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 8 + } + argDescriptor { + name: "i" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "f" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "o" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "y" + argType: OUTPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "forgetBias" + argType: DOUBLE + } + argDescriptor { + name: "clippingCellValue" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "peephole" + argType: INT64 + } + argDescriptor { + name: "dataFormat" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmBlockCell" + argDescriptor { + name: "xt" + argType: INPUT_TENSOR + } + argDescriptor { + name: "cLast" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "yLast" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "W" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "Wci" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "Wcf" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "Wco" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "i" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "f" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "o" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "y" + argType: OUTPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "forgetBias" + argType: DOUBLE + } + argDescriptor { + name: "clippingCellValue" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "peephole" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmCell" + argDescriptor { + name: "xt" + argType: INPUT_TENSOR + } + argDescriptor { + name: "ht_1" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "ct_1" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "Wh" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "Wc" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "Wp" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "ht" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ct" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "clippingCellValue" + argType: DOUBLE + } + argDescriptor { + name: "clippingProjValue" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "forgetBias" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "peephole" + argType: INT64 + } + argDescriptor { + name: "projection" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmLayer" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wr" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "seqLen" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "hI" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "cI" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "Wp" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "hL" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "cL" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "cellClip" + argType: DOUBLE + } + argDescriptor { + name: "gateAlpha" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "gateBeta" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "cellAlpha" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "cellBeta" + argType: DOUBLE + argIndex: 4 + } + argDescriptor { + name: "outAlpha" + argType: DOUBLE + argIndex: 5 + } + argDescriptor { + name: "outBeta" + argType: DOUBLE + argIndex: 6 + } + argDescriptor { + name: "hasBiases" + argType: BOOL + } + argDescriptor { + name: "hasSeqLen" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "hasInitH" + argType: BOOL + argIndex: 2 + } + argDescriptor { + name: "hasInitC" + argType: BOOL + argIndex: 3 + } + argDescriptor { + name: "hasPH" + argType: BOOL + argIndex: 4 + } + argDescriptor { + name: "retFullSeq" + argType: BOOL + argIndex: 5 + } + argDescriptor { + name: "retLastH" + argType: BOOL + argIndex: 6 + } + argDescriptor { + name: "retLastC" + argType: BOOL + argIndex: 7 + } + argDescriptor { + name: "dataFormat" + argType: INT64 + } + argDescriptor { + name: "directionMode" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "gateAct" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "cellAct" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "outAct" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmLayerCell" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wr" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "hI" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "cI" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "Wp" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "cellClip" + argType: DOUBLE + } + argDescriptor { + name: "gateAlpha" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "gateBeta" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "cellAlpha" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "cellBeta" + argType: DOUBLE + argIndex: 4 + } + argDescriptor { + name: "outAlpha" + argType: DOUBLE + argIndex: 5 + } + argDescriptor { + name: "outBeta" + argType: DOUBLE + argIndex: 6 + } + argDescriptor { + name: "hasBiases" + argType: BOOL + } + argDescriptor { + name: "hasPH" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "gateAct" + argType: INT64 + } + argDescriptor { + name: "cellAct" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "outAct" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmLayerCellBp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wr" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "hI" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "cI" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "Wp" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "dLdh" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdWx" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdWr" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdb" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdhI" + argType: OUTPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dLdcI" + argType: OUTPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "dLdWp" + argType: OUTPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "cellClip" + argType: DOUBLE + } + argDescriptor { + name: "gateAlpha" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "gateBeta" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "cellAlpha" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "cellBeta" + argType: DOUBLE + argIndex: 4 + } + argDescriptor { + name: "outAlpha" + argType: DOUBLE + argIndex: 5 + } + argDescriptor { + name: "outBeta" + argType: DOUBLE + argIndex: 6 + } + argDescriptor { + name: "hasBiases" + argType: BOOL + } + argDescriptor { + name: "hasPH" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "gateAct" + argType: INT64 + } + argDescriptor { + name: "cellAct" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "outAct" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstmLayer_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wr" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "seqLen" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "hI" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "cI" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "Wp" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "dLdh" + argType: INPUT_TENSOR + argIndex: 8 + } + argDescriptor { + name: "dLdhL" + argType: INPUT_TENSOR + argIndex: 9 + } + argDescriptor { + name: "dLdcL" + argType: INPUT_TENSOR + argIndex: 10 + } + argDescriptor { + name: "dLdsL" + argType: INPUT_TENSOR + argIndex: 11 + } + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdWx" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdWr" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdb" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdhI" + argType: OUTPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dLdcI" + argType: OUTPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "dLdWp" + argType: OUTPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "cellClip" + argType: DOUBLE + } + argDescriptor { + name: "gateAlpha" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "gateBeta" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "cellAlpha" + argType: DOUBLE + argIndex: 3 + } + argDescriptor { + name: "cellBeta" + argType: DOUBLE + argIndex: 4 + } + argDescriptor { + name: "outAlpha" + argType: DOUBLE + argIndex: 5 + } + argDescriptor { + name: "outBeta" + argType: DOUBLE + argIndex: 6 + } + argDescriptor { + name: "hasBiases" + argType: BOOL + } + argDescriptor { + name: "hasSeqLen" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "hasInitH" + argType: BOOL + argIndex: 2 + } + argDescriptor { + name: "hasInitC" + argType: BOOL + argIndex: 3 + } + argDescriptor { + name: "hasPH" + argType: BOOL + argIndex: 4 + } + argDescriptor { + name: "retFullSeq" + argType: BOOL + argIndex: 5 + } + argDescriptor { + name: "retLastH" + argType: BOOL + argIndex: 6 + } + argDescriptor { + name: "retLastC" + argType: BOOL + argIndex: 7 + } + argDescriptor { + name: "dataFormat" + argType: INT64 + } + argDescriptor { + name: "directionMode" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "gateAct" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "cellAct" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "outAct" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lstsq" + argDescriptor { + name: "a" + argType: INPUT_TENSOR + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "l2_factor" + argType: DOUBLE + } + argDescriptor { + name: "fastFlag" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "lu" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "p" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "manhattan" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "allDistances" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "match_condition" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "compare" + argType: DOUBLE + } + argDescriptor { + name: "eps" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "mode" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "match_condition_transform" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "compare" + argType: DOUBLE + } + argDescriptor { + name: "mode" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "matmul" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "alpha" + argType: DOUBLE + } + argDescriptor { + name: "beta" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "transposeX" + argType: BOOL + } + argDescriptor { + name: "transposeY" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "transposeZ" + argType: BOOL + argIndex: 2 + } + argDescriptor { + name: "transX" + argType: INT64 + } + argDescriptor { + name: "transY" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "transZ" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "matmul_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "eps" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dldx" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dldy" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dldx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dldy" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "alpha" + argType: DOUBLE + } + argDescriptor { + name: "beta" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "transX" + argType: INT64 + } + argDescriptor { + name: "transY" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "transZ" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "matrix_band_part" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "minLowerT" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "maxUpperT" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "minLower" + argType: INT64 + } + argDescriptor { + name: "maxUpper" + argType: INT64 + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "matrix_determinant" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "matrix_diag" + argDescriptor { + name: "diagonal" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "matrix_diag_part" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "matrix_inverse" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: OP_IMPL +} +opList { + name: "matrix_set_diag" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "diagonal" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "max_pairwise" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: 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argType: INPUT_TENSOR + } + argDescriptor { + name: "alpha" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "beta" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "seed" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_multinomial" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "inputSamples" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_normal" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_poisson" + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "lambda" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "seed" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_shuffle" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "seeds" + argType: INT64 + } + opDeclarationType: OP_IMPL +} +opList { + name: "randomnormal" + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "mean" + argType: DOUBLE + } + argDescriptor { + name: "stdev" + argType: DOUBLE + argIndex: 1 + } +} +opList { + name: "randomuniform" + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "min" + argType: INPUT_TENSOR + argIndex: 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argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "repeat" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "replace_nans" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "set" + argType: DOUBLE + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "reshape" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "shapeArr" + argType: 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argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "alignCorners" + argType: BOOL + } + argDescriptor { + name: "alignPixelCenters" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "resize_bilinear" + argDescriptor { + name: "image" + argType: INPUT_TENSOR + } + argDescriptor { + name: "newImageSize" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "alignCorners" + argType: BOOL + } + argDescriptor { + name: "halfPixelCenter" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "height" + argType: INT64 + } + argDescriptor { + name: "width" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "resize_images" + argDescriptor { + name: "image" + argType: INPUT_TENSOR + } + argDescriptor { + name: "size" + argType: 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argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "seqDim" + argType: INT64 + } + argDescriptor { + name: "batchDim" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "reverse_v2" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "isLegacy" + argType: BOOL + } +} +opList { + name: "reversedivide" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "reversedivide_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "reversemod" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "reversemod_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} 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+ argType: DATA_TYPE + } +} +opList { + name: "scatter_nd_add" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_nd_sub" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_nd_update" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_sub" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_upd" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_update" + argDescriptor { + name: "operand" + argType: INPUT_TENSOR + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INT64 + } + argDescriptor { + name: "dimension" + argType: INT64 + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "sconv2d" + argDescriptor { + name: "*input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "*weightsDepth" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "bias" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "*output" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "kH" + argType: INT64 + } + argDescriptor { + name: "kW" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "sH" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "sW" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "pH" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "pW" + argType: INT64 + argIndex: 5 + } + argDescriptor { + name: "dH" + argType: INT64 + argIndex: 6 + } + argDescriptor { + name: "dW" + argType: INT64 + argIndex: 7 + } + argDescriptor { + name: "isSameMode" + argType: INT64 + argIndex: 8 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + argIndex: 9 + } + argDescriptor { + name: "wFormat" + argType: INT64 + argIndex: 10 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sconv2d_bp" + argDescriptor { + name: "*input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "*gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "*weightsDepth" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "bias" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "*gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "*gradWD" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradWP" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradB" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "kH" + argType: INT64 + } + argDescriptor { + name: "kW" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "sH" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "sW" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "pH" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "pW" + argType: INT64 + argIndex: 5 + } + argDescriptor { + name: "dH" + argType: INT64 + argIndex: 6 + } + argDescriptor { + name: "dW" + argType: INT64 + argIndex: 7 + } + argDescriptor { + name: "isSameMode" + argType: INT64 + argIndex: 8 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + argIndex: 9 + } + argDescriptor { + name: "wFormat" + argType: INT64 + argIndex: 10 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_max" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_max_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_mean" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_mean_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_min" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_min_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_prod" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_prod_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_sum" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_sum_bp" + argDescriptor { + name: "data" + argType: INPUT_TENSOR + } + argDescriptor { + name: "segmentIds" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "select" + argDescriptor { + name: "cond" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "selu" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "selu_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: 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+ argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "stack_list" + argDescriptor { + name: "list" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "standardize" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "standardize_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "eps" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "static_bidirectional_rnn" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "WxFW" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "WhFW" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "bFW" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "WxBW" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "WhBW" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "bBW" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "h0FW" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "h0BW" + argType: INPUT_TENSOR + argIndex: 8 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "hFWFinal" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "hBWFinal" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "static_rnn" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wh" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "maxTimeStep" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "hFinal" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "std" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "biasCorrected" + argType: BOOL + } + argDescriptor { + name: "keepDims" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "step" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "cutoff" + argType: DOUBLE + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "stop_gradient" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: OP_IMPL +} +opList { + name: "strided_slice" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "v_begin" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "v_end" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "v_stride" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "begin_mask" + argType: INT64 + } + argDescriptor { + name: "ellipsis_mask" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "end_mask" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "new_axis_mask" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "shrink_axis_mask" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "strided_slice_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "v_begin" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "v_end" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "v_stride" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "begin_mask" + argType: INT64 + } + argDescriptor { + name: "ellipsis_mask" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "end_mask" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "new_axis_mask" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "shrink_axis_mask" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sub_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "subtract" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "subtract_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sufficient_statistics" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "shift" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dataCount" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "sum" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "squares" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "shift" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "svd" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "s" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "u" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "v" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "fullUV" + argType: BOOL + } + argDescriptor { + name: "computeUv" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "fullUV" + argType: INT64 + } + argDescriptor { + name: "calcUV" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "switchNum" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "swish" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "switch" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "predicate" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tan" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "tanderivative" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "tanh" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "tanh_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "tear" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outE" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tensorarrayconcatv3" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensorarraygatherv3" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensorarrayreadv3" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensorarrayscatterv3" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensorarraysizev3" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensorarraysplitv3" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensorarrayv3" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: INT64 + } +} +opList { + name: "tensorarraywritev3" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "tensordot" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "addedEdges" + argType: BOOL + } + argDescriptor { + name: "transposeY" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "transposeZ" + argType: BOOL + argIndex: 2 + } + argDescriptor { + name: "dimensionsY" + argType: INT64 + } +} +opList { + name: "tensormmul" + argDescriptor { + name: "a" + argType: INPUT_TENSOR + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "axe0_size" + argType: INT64 + } + argDescriptor { + name: "axe1_size" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tensormmul_bp" + argDescriptor { + name: "A" + argType: INPUT_TENSOR + } + argDescriptor { + name: "B" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdC" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdA" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdB" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "axe0Size" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "test_output_reshape" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "test_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "testcustom" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "testop2i2o" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "xO" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "yO" + argType: OUTPUT_TENSOR + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "testreduction" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: REDUCTION_OP_IMPL +} +opList { + name: "tf_atan2" + argDescriptor { + name: "y" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "thresholdedrelu" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "cutoff" + argType: DOUBLE + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "thresholdedrelu_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dLdO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "cutoff" + argType: DOUBLE + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "tile" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "reps_vector" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "is_static_reps" + argType: BOOL + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tile_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "grad" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tile_to_shape" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tile_to_shape_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "timesoneminus" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "to_double" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_float16" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_float32" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_int32" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_int64" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_uint32" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_uint64" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "toggle_bits" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "top_k" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "values" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "needSort" + argType: BOOL + } + argDescriptor { + name: "k" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "trace" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "transpose" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "permuteDims" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tri" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "row" + argType: INT64 + } + argDescriptor { + name: "column" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "diag" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "triangular_solve" + argDescriptor { + name: "a" + argType: INPUT_TENSOR + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "lower" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "adjoint" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "isLower" + argType: BOOL + } + argDescriptor { + name: "useAdjoint" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "triu" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "diag" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "triu_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "diag" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "truncatediv" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "unique" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "values" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unique_with_counts" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "values" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "counts" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_max" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_max_bp" + argDescriptor { + name: "data" + argType: INPUT_TENSOR + } + argDescriptor { + name: "segmentIds" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_mean" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_mean_bp" + argDescriptor { + name: "data" + argType: INPUT_TENSOR + } + argDescriptor { + name: "segmentIds" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_min" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_min_bp" + argDescriptor { + name: "data" + argType: INPUT_TENSOR + } + argDescriptor { + name: "segmentIds" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_prod" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_prod_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "eps" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sqrt_n" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sqrt_n_bp" + argDescriptor { + name: "data" + argType: INPUT_TENSOR + } + argDescriptor { + name: "segmentIds" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sum" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sum_bp" + argDescriptor { + name: "data" + argType: INPUT_TENSOR + } + argDescriptor { + name: "segmentIds" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unstack" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outArrs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "num" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unstack_list" + argDescriptor { + name: "outputList" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "upsampling2d" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "nchw" + argType: BOOL + } + argDescriptor { + name: "factorH" + argType: INT64 + } + argDescriptor { + name: "factorW" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "upsampling2d_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "nchw" + argType: BOOL + } + argDescriptor { + name: "scaleW" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "upsampling3d" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ncdhw" + argType: BOOL + } + argDescriptor { + name: "factorD" + argType: INT64 + } + argDescriptor { + name: "factorH" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "factorW" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "isNCDHW" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "upsampling3d_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ncdhw" + argType: BOOL + } + argDescriptor { + name: "isNCDHW" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "var" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "biasCorrected" + argType: BOOL + } + argDescriptor { + name: "keepDims" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "weighted_cross_entropy_with_logits" + argDescriptor { + name: "targets" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "where_np" + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "write_list" + argDescriptor { + name: "list" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "idx" + argType: INT64 + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "xor" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "comparable" + argType: DOUBLE + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "xor_scalar" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "xw_plus_b" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "bTranspose" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "xw_plus_b_bp" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdz" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdw" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdb" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "bTranspose" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "yiq_to_rgb" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "yuv_to_rgb" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "zero_fraction" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "zeros_as" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "zeros_like" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "zeroslike" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "dataType" + argType: INT64 + } +} +opList { + name: "zeta" + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "q" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "placeholder" + opDeclarationType: LOGIC_OP_IMPL +} diff --git a/contrib/codegen-tools/codegen/src/main/resources/onnx-op-defs.pb b/contrib/codegen-tools/codegen/src/main/resources/onnx-op-defs.pb new file mode 100644 index 000000000..023f31b24 Binary files /dev/null and b/contrib/codegen-tools/codegen/src/main/resources/onnx-op-defs.pb differ diff --git a/contrib/codegen-tools/codegen/src/main/resources/onnx.pbtxt b/contrib/codegen-tools/codegen/src/main/resources/onnx.pbtxt new file mode 100644 index 000000000..5fa814d06 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/main/resources/onnx.pbtxt @@ -0,0 +1,6004 @@ +input: "X" +output: "Y" +name: "Abs" +op_type: "Abs" +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nAbsolute takes one input data (Tensor) and produces one output data\n(Tensor) where the absolute is, y = abs(x), is applied to\nthe tensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Acos" +op_type: "Acos" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the arccosine (inverse of cosine) of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Acosh" +op_type: "Acosh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic arccosine of the given input tensor element-wise.\n" +----f +input: "R" +input: "T" +input: "inputs" +output: "outputs" +name: "Adagrad" +op_type: "Adagrad" +attribute { + name: "decay_factor" + f: 0.0 + type: FLOAT +} +attribute { + name: "epsilon" + f: 1e-06 + type: FLOAT +} +attribute { + name: "norm_coefficient" + f: 0.0 + type: FLOAT +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + type: STRINGS +} +attribute { + name: "T-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "inputs-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "\n Compute one iteration of ADAGRAD, a stochastic gradient based optimization\n algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n Let\'s define the behavior of this operator. As you can imagine, ADAGRAD requires\n some parameters:\n \n - The initial learning-rate \"R\".\n - The update count \"T\". That is, the number of training iterations conducted.\n - A L2-norm regularization coefficient \"norm_coefficient\".\n - A learning-rate decay factor \"decay_factor\".\n - A small constant \"epsilon\" to avoid dividing-by-zero. \n\n At each ADAGRAD iteration, the optimized tensors are moved along a direction\n computed based on their estimated gradient and accumulated squared gradient. Assume\n that only a single tensor \"X\" is updated by this operator. We need the value of \"X\",\n its gradient \"G\", and its accumulated squared gradient \"H\". Therefore, variables in\n this operator\'s input list are sequentially \"R\", \"T\", \"X\", \"G\", and \"H\". Other\n parameters are given as attributes because they are usually constants. Also, the\n corresponding output tensors are the new value of \"X\" (called \"X_new\"), and then\n the new accumulated squared gradient (called \"H_new\"). Those outputs are computed\n from the given inputs following the pseudo code below.\n\n Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n // Compute a scalar learning-rate factor. At the first update of X, T is generally\n // 0 (0-based update index) or 1 (1-based update index).\n r = R / (1 + T * decay_factor);\n\n // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n G_regularized = norm_coefficient * X + G;\n\n // Compute new accumulated squared gradient.\n H_new = H + G_regularized * G_regularized;\n\n // Compute the adaptive part of per-coordinate learning rate. Note that Sqrt(...)\n // computes element-wise square-root.\n H_adaptive = Sqrt(H_new) + epsilon\n\n // Compute the new value of \"X\".\n X_new = X - r * G_regularized / H_adaptive;\n\n If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\", the same\n pseudo code may be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n be concatenated too) and then just reuse the entire pseudo code.\n\n Note that ADAGRAD was first proposed in http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf.\n In that reference paper, this operator is a special case of the Figure 1\'s composite mirror\n descent update.\n" +----f +input: "R" +input: "T" +input: "inputs" +output: "outputs" +name: "Adam" +op_type: "Adam" +attribute { + name: "alpha" + f: 0.9 + type: FLOAT +} +attribute { + name: "beta" + f: 0.999 + type: FLOAT +} +attribute { + name: "epsilon" + f: 1e-06 + type: FLOAT +} +attribute { + name: "norm_coefficient" + f: 0.0 + type: FLOAT +} +attribute { + name: "norm_coefficient_post" + f: 0.0 + type: FLOAT +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + type: STRINGS +} +attribute { + name: "T-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "inputs-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "\n Compute one iteration of Adam, a stochastic gradient based optimization\n algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n Let\'s define the behavior of this operator. First of all, Adam requires\n some parameters:\n \n - The learning-rate \"R\".\n - The update count \"T\". That is, the number of training iterations conducted.\n - A L2-norm regularization coefficient \"norm_coefficient\".\n - A small constant \"epsilon\" to avoid dividing-by-zero. \n - Two coefficients, \"alpha\" and \"beta\".\n\n At each Adam iteration, the optimized tensors are moved along a direction\n computed based on their exponentially-averaged historical gradient and\n exponentially-averaged historical squared gradient. Assume that only a tensor\n \"X\" is being optimized. The rest of required information is\n \n - the value of \"X\",\n - \"X\"\'s gradient (denoted by \"G\"),\n - \"X\"\'s exponentially-averaged historical gradient (denoted by \"V\"), and\n - \"X\"\'s exponentially-averaged historical squared gradient (denoted by \"H\").\n\n Some of those parameters are passed into this operator as input tensors and others\n are stored as this operator\'s attributes. Specifically, this operator\'s input tensor\n list is [\"R\", \"T\", \"X\", \"G\", \"V\", \"H\"]. That is, \"R\" is the first input, \"T\" is\n the second input, and so on. Other parameters are given as attributes because they\n are constants. Moreover, the corresponding output tensors are \n \n - the new value of \"X\" (called \"X_new\"),\n - the new exponentially-averaged historical gradient (denoted by \"V_new\"), and\n - the new exponentially-averaged historical squared gradient (denoted by \"H_new\").\n\n Those outputs are computed following the pseudo code below.\n\n Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n G_regularized = norm_coefficient * X + G\n\n // Update exponentially-averaged historical gradient.\n V_new = alpha * V + (1 - alpha) * G_regularized\n\n // Update exponentially-averaged historical squared gradient.\n H_new = beta * H + (1 - beta) * G_regularized * G_regularized\n\n // Compute the element-wise square-root of H_new. V_new will be element-wisely\n // divided by H_sqrt for a better update direction.\n H_sqrt = Sqrt(H_new) + epsilon\n\n // Compute learning-rate. Note that \"alpha**T\"/\"beta**T\" is alpha\'s/beta\'s T-th power.\n R_adjusted = T > 0 ? R * Sqrt(1 - beta**T) / (1 - alpha**T) : R\n\n // Compute new value of \"X\".\n X_new = X - R_adjusted * V_new / H_sqrt\n\n // Post-update regularization.\n X_final = (1 - norm_coefficient_post) * X_new \n\n If there are multiple inputs to be optimized, the pseudo code will be applied\n independently to each of them.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Add" +op_type: "Add" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary addition (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "And" +op_type: "And" +attribute { + name: "A-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "B-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `and` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "data" +output: "reduced" +name: "ArgMax" +op_type: "ArgMax" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "select_last_index" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the indices of the max elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the max \nis selected if the max appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer." +----f +input: "data" +output: "reduced" +name: "ArgMin" +op_type: "ArgMin" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "select_last_index" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the indices of the min elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the min \nis selected if the min appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer." +----f +input: "X" +input: "Y" +output: "Z" +name: "ArrayFeatureExtractor" +op_type: "ArrayFeatureExtractor" +attribute { + name: "X-types" + strings: "int32" + strings: "string" + strings: "double" + strings: "int64" + strings: "float" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "int64" + type: STRINGS +} +doc_string: "\n Select elements of the input tensor based on the indices passed.
\n The indices are applied to the last axes of the tensor.\n" +----f +input: "input" +output: "output" +name: "Asin" +op_type: "Asin" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the arcsine (inverse of sine) of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Asinh" +op_type: "Asinh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic arcsine of the given input tensor element-wise.\n" +----f +input: "input" +output: "output" +name: "Atan" +op_type: "Atan" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the arctangent (inverse of tangent) of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Atanh" +op_type: "Atanh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic arctangent of the given input tensor element-wise.\n" +----f +input: "X" +output: "Y" +name: "AveragePool" +op_type: "AveragePool" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "ceil_mode" + i: 0 + type: INT +} +attribute { + name: "count_include_pad" + i: 0 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n AveragePool consumes an input tensor X and applies average pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n average pooling consisting of computing the average on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - kernel_spatial_shape[i] + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + kernel_spatial_shape[i] - input_spatial_shape[i]\n ```\n The output of each pooling window is divided by the number of elements (exclude pad when attribute count_include_pad is zero).\n " +----f +input: "X" +input: "scale" +input: "B" +input: "mean" +input: "var" +output: "Y" +output: "mean" +output: "var" +output: "saved_mean" +output: "saved_var" +name: "BatchNormalization" +op_type: "BatchNormalization" +attribute { + name: "epsilon" + f: 1e-05 + type: FLOAT +} +attribute { + name: "momentum" + f: 0.9 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "scale-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "mean-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "var-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCarries out batch normalization as described in the paper\nhttps://arxiv.org/abs/1502.03167. Depending on the mode it is being run,\nthere are multiple cases for the number of outputs, which we list below:\n\nOutput case #1: Y, mean, var, saved_mean, saved_var (training mode)\nOutput case #2: Y (test mode)\n\nFor previous (depreciated) non-spatial cases, implementors are suggested\nto flatten the input shape to (N x C*D1*D2 ..*Dn) before a BatchNormalization Op.\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "X" +output: "Y" +name: "Binarizer" +op_type: "Binarizer" +attribute { + name: "threshold" + f: 0.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.\n" +----f +input: "X" +input: "Y" +output: "Z" +name: "BitShift" +op_type: "BitShift" +attribute { + name: "direction" + s: "" + type: STRING +} +attribute { + name: "X-types" + strings: "uint32" + strings: "uint16" + strings: "uint8" + strings: "uint64" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "uint32" + strings: "uint16" + strings: "uint8" + strings: "uint64" + type: STRINGS +} +doc_string: "\nBitwise shift operator performs element-wise operation. For each input element, if the\n attribute \"direction\" is \"RIGHT\", this operator moves its binary representation toward\n the right side so that the input value is effectively decreased. If the attribute \"direction\"\n is \"LEFT\", bits of binary representation moves toward the left side, which results the\n increase of its actual value. The input X is the tensor to be shifted and another input\n Y specifies the amounts of shifting. For example, if \"direction\" is \"Right\", X is [1, 4],\n and S is [1, 1], the corresponding output Z would be [0, 2]. If \"direction\" is \"LEFT\" with\n X=[1, 2] and S=[1, 2], the corresponding output Y would be [2, 8].\n \n Because this operator supports Numpy-style broadcasting, X\'s and Y\'s shapes are\n not necessarily identical.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)." +----f +input: "input" +output: "output" +name: "Cast" +op_type: "Cast" +attribute { + name: "to" + s: "" + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nThe operator casts the elements of a given input tensor to a data type\nspecified by the \'to\' argument and returns an output tensor of the same size in\nthe converted type. The \'to\' argument must be one of the data types specified\nin the \'DataType\' enum field in the TensorProto message.\n\nCasting from string tensor in plain (e.g., \"3.14\" and \"1000\") and scientific numeric representations\n(e.g., \"1e-5\" and \"1E8\") to float types is supported. For example, converting string \"100.5\" to an integer may\nresult 100. There are some string literals reserved for special floating-point values;\n\"+INF\" (and \"INF\"), \"-INF\", and \"NaN\" are positive infinity, negative infinity, and not-a-number, respectively.\nAny string which can exactly match \"+INF\" in a case-insensitive way would be mapped to positive infinite. Similarly,\nthis case-insensitive rule is applied to \"INF\" and \"NaN\". When casting from numeric tensors\nto string tensors, plain floating-point representation (such as \"314.15926\") would be used. \nConverting non-numerical-literal string such as \"Hello World!\" is an undefined behavior. Cases \nof converting string representing floating-point arithmetic value, such as \"2.718\", to INT is an undefined behavior.\n\nConversion from a numerical type to any numerical type is always allowed.\nUser must be aware of precision loss and value change caused by range difference between two types.\nFor example, a 64-bit float 3.1415926459 may be round to a 32-bit float 3.141592. Similarly, converting\nan integer 36 to Boolean may produce 1 because we truncate bits which can\'t be stored in the targeted type.\n" +----f +input: "X" +output: "Y" +name: "CastMap" +op_type: "CastMap" +attribute { + name: "cast_to" + s: "TO_FLOAT" + type: STRING +} +attribute { + name: "map_form" + s: "DENSE" + type: STRING +} +attribute { + name: "max_map" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "map(int64,string" + strings: "map(int64,float" + type: STRINGS +} +doc_string: "\n Converts a map to a tensor.
The map key must be an int64 and the values will be ordered\n in ascending order based on this key.
The operator supports dense packing or sparse packing.\n If using sparse packing, the key cannot exceed the max_map-1 value.\n" +----f +input: "X" +output: "Y" +name: "CategoryMapper" +op_type: "CategoryMapper" +attribute { + name: "cats_int64s" + s: "" + type: INTS +} +attribute { + name: "cats_strings" + s: "" + type: STRINGS +} +attribute { + name: "default_int64" + i: -1 + type: INT +} +attribute { + name: "default_string" + s: "_Unused" + type: STRING +} +attribute { + name: "X-types" + strings: "string" + strings: "int64" + type: STRINGS +} +doc_string: "\n Converts strings to integers and vice versa.
\n Two sequences of equal length are used to map between integers and strings,\n with strings and integers at the same index detailing the mapping.
\n Each operator converts either integers to strings or strings to integers, depending \n on which default value attribute is provided. Only one default value attribute\n should be defined.
\n If the string default value is set, it will convert integers to strings.\n If the int default value is set, it will convert strings to integers.\n" +----f +input: "X" +output: "Y" +name: "Ceil" +op_type: "Ceil" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCeil takes one input data (Tensor) and produces one output data\n(Tensor) where the ceil is, y = ceil(x), is applied to\nthe tensor elementwise.\n" +----f +input: "X" +output: "Y" +name: "Celu" +op_type: "Celu" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + type: STRINGS +} +doc_string: "\nContinuously Differentiable Exponential Linear Units:\nPerform the linear unit element-wise on the input tensor X\nusing formula: \n\n```\nmax(0,x) + min(0,alpha*(exp(x/alpha)-1))\n```\n" +----f +input: "input" +input: "min" +input: "max" +output: "output" +name: "Clip" +op_type: "Clip" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "min-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "max-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nClip operator limits the given input within an interval. The interval is\nspecified by the inputs \'min\' and \'max\'. They default to\nnumeric_limits::lowest() and numeric_limits::max(), respectively.\n" +----f +input: "input" +input: "condition" +output: "output" +name: "Compress" +op_type: "Compress" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "condition-types" + strings: "bool" + type: STRINGS +} +doc_string: "\n Selects slices from an input tensor along a given axis where condition evaluates to True for each axis index.\n In case axis is not provided, input is flattened before elements are selected.\n Compress behaves like numpy.compress: https://docs.scipy.org/doc/numpy/reference/generated/numpy.compress.html\n " +----f +input: "inputs" +output: "concat_result" +name: "Concat" +op_type: "Concat" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "Concatenate a list of tensors into a single tensor. All input tensors must have the same shape, except for the dimension size of the axis to concatenate on." +----f +input: "input_sequence" +output: "concat_result" +name: "ConcatFromSequence" +op_type: "ConcatFromSequence" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "new_axis" + i: 0 + type: INT +} +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +doc_string: "\nConcatenate a sequence of tensors into a single tensor.\nAll input tensors must have the same shape, except for the dimension size of the axis to concatenate on.\nBy default \'new_axis\' is 0, the behavior is similar to numpy.concatenate.\nWhen \'new_axis\' is 1, the behavior is similar to numpy.stack.\n" +----f +output: "output" +name: "Constant" +op_type: "Constant" +attribute { + name: "sparse_value" + s: "" + type: SPARSE_TENSOR +} +attribute { + name: "value" + s: "" + type: TENSOR +} +attribute { + name: "value_float" + s: "" + type: FLOAT +} +attribute { + name: "value_floats" + s: "" + type: FLOATS +} +attribute { + name: "value_int" + s: "" + type: INT +} +attribute { + name: "value_ints" + s: "" + type: INTS +} +attribute { + name: "value_string" + s: "" + type: STRING +} +attribute { + name: "value_strings" + s: "" + type: STRINGS +} +doc_string: "\nThis operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,\nor value_* must be specified.\n" +----f +input: "input" +output: "output" +name: "ConstantOfShape" +op_type: "ConstantOfShape" +attribute { + name: "value" + s: "" + type: TENSOR +} +attribute { + name: "input-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nGenerate a tensor with given value and shape.\n" +----f +input: "X" +input: "W" +input: "B" +output: "Y" +name: "Conv" +op_type: "Conv" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe convolution operator consumes an input tensor and a filter, and\ncomputes the output." +----f +input: "x" +input: "w" +input: "x_zero_point" +input: "w_zero_point" +output: "y" +name: "ConvInteger" +op_type: "ConvInteger" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "x-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "x_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nThe integer convolution operator consumes an input tensor, its zero-point, a filter, and its zero-point,\nand computes the output. The production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n" +----f +input: "X" +input: "W" +input: "B" +output: "Y" +name: "ConvTranspose" +op_type: "ConvTranspose" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "output_padding" + s: "" + type: INTS +} +attribute { + name: "output_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe convolution transpose operator consumes an input tensor and a filter,\nand computes the output.\n\nIf the pads parameter is provided the shape of the output is calculated via the following equation:\n\n output_shape[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - pads[start_i] - pads[end_i]\n\noutput_shape can also be explicitly specified in which case pads values are auto generated using these equations:\n\n total_padding[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - output_shape[i]\n If (auto_pads != SAME_UPPER): pads[start_i] = total_padding[i]/2; pads[end_i] = total_padding[i] - (total_padding[i]/2)\n Else: pads[start_i] = total_padding[i] - (total_padding[i]/2); pads[end_i] = (total_padding[i]/2).\n\n " +----f +input: "input" +output: "output" +name: "Cos" +op_type: "Cos" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the cosine of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Cosh" +op_type: "Cosh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic cosine of the given input tensor element-wise.\n" +----f +input: "x" +input: "axis" +output: "y" +name: "CumSum" +op_type: "CumSum" +attribute { + name: "exclusive" + i: 0 + type: INT +} +attribute { + name: "reverse" + i: 0 + type: INT +} +attribute { + name: "x-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "axis-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nPerforms cumulative sum of the input elements along the given axis.\nBy default, it will do the sum inclusively meaning the first element is copied as is.\nThrough an `exclusive` attribute, this behavior can change to exclude the first element.\nIt can also perform summation in the opposite direction of the axis. For that, set `reverse` attribute to 1.\n\nExample:\n```\ninput_x = [1, 2, 3]\naxis=0\noutput = [1, 3, 6]\nexclusive=1\noutput = [0, 1, 3]\nexclusive=0\nreverse=1\noutput = [6, 5, 3]\nexclusive=1\nreverse=1\noutput = [5, 3, 0]\n```\n " +----f +input: "input" +output: "output" +name: "DepthToSpace" +op_type: "DepthToSpace" +attribute { + name: "blocksize" + s: "" + type: INT +} +attribute { + name: "mode" + s: "DCR" + type: STRING +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "DepthToSpace rearranges (permutes) data from depth into blocks of spatial data.\nThis is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of\nthe input tensor where values from the depth dimension are moved in spatial blocks to the height\nand width dimensions. By default, `mode` = `DCR`.\nIn the DCR mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: depth, column, and then row. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, blocksize, blocksize, c // (blocksize**2), h, w])\n\ntmp = np.transpose(tmp, [0, 3, 4, 1, 5, 2])\n\ny = np.reshape(tmp, [b, c // (blocksize**2), h * blocksize, w * blocksize])\n\n\nIn the CRD mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: column, row, and the depth. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, c // (blocksize ** 2), blocksize, blocksize, h, w])\n\ntmp = np.transpose(tmp, [0, 1, 4, 2, 5, 3])\n\ny = np.reshape(tmp, [b, c // (blocksize ** 2), h * blocksize, w * blocksize])\n\n" +----f +input: "x" +input: "x_scale" +input: "x_zero_point" +output: "y" +name: "DequantizeLinear" +op_type: "DequantizeLinear" +attribute { + name: "x-types" + strings: "int32" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "x_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "x_zero_point-types" + strings: "int32" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nThe linear dequantization operator. It consumes a quantized tensor, a scale, a zero point to compute the full precision tensor.\nThe dequantization formula is y = (x - x_zero_point) * x_scale. \'x_scale\' and \'x_zero_point\' must have same shape.\n\'x_zero_point\' and \'x\' must have same type. \'x\' and \'y\' must have same shape. In the case of dequantizing int32,\nthere\'s no zero point (zero point is supposed to be 0).\n" +----f +input: "X" +output: "Y" +name: "Det" +op_type: "Det" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nDet calculates determinant of a square matrix or batches of square matrices.\nDet takes one input tensor of shape `[*, M, M]`, where `*` is zero or more batch dimensions,\nand the inner-most 2 dimensions form square matrices.\nThe output is a tensor of shape `[*]`, containing the determinants of all input submatrices.\ne.g., When the input is 2-D, the output is a scalar(shape is empty: `[]`).\n" +----f +input: "X" +output: "Y" +name: "DictVectorizer" +op_type: "DictVectorizer" +attribute { + name: "int64_vocabulary" + s: "" + type: INTS +} +attribute { + name: "string_vocabulary" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "map(int64,float" + strings: "map(int64,string" + strings: "map(string,int64" + strings: "map(string,float" + strings: "map(string,double" + strings: "map(int64,double" + type: STRINGS +} +doc_string: "\n Uses an index mapping to convert a dictionary to an array.
\n Given a dictionary, each key is looked up in the vocabulary attribute corresponding to\n the key type. The index into the vocabulary array at which the key is found is then\n used to index the output 1-D tensor \'Y\' and insert into it the value found in the dictionary \'X\'.
\n The key type of the input map must correspond to the element type of the defined vocabulary attribute.\n Therefore, the output array will be equal in length to the index mapping vector parameter.\n All keys in the input dictionary must be present in the index mapping vector.\n For each item in the input dictionary, insert its value in the output array.\n Any keys not present in the input dictionary, will be zero in the output array.
\n For example: if the ``string_vocabulary`` parameter is set to ``[\"a\", \"c\", \"b\", \"z\"]``,\n then an input of ``{\"a\": 4, \"c\": 8}`` will produce an output of ``[4, 8, 0, 0]``.\n " +----f +input: "A" +input: "B" +output: "C" +name: "Div" +op_type: "Div" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary division (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "data" +input: "ratio" +input: "training_mode" +output: "output" +output: "mask" +name: "Dropout" +op_type: "Dropout" +attribute { + name: "seed" + s: "" + type: INT +} +attribute { + name: "data-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "ratio-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "training_mode-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nDropout takes an input floating-point tensor, an optional input ratio (floating-point scalar) and an optional input training_mode (boolean scalar). It produces two tensor outputs,\noutput (floating-point tensor) and mask (optional `Tensor`). If `training_mode` is true then the output Y will be a random dropout;\nNote that this Dropout scales the masked input data by the following equation, so to convert the trained model into inference mode,\nthe user can simply not pass `training_mode` input or set it to false.\n```\noutput = scale * data * mask,\n```\nwhere\n```\nscale = 1. / (1. - ratio).\n```\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "x" +output: "y" +output: "y_scale" +output: "y_zero_point" +name: "DynamicQuantizeLinear" +op_type: "DynamicQuantizeLinear" +attribute { + name: "x-types" + strings: "float" + type: STRINGS +} +doc_string: "\nA Function to fuse calculation for Scale, Zero Point and FP32->8Bit convertion of FP32 Input data.\nOutputs Scale, ZeroPoint and Quantized Input for a given FP32 Input.\nScale is calculated as:\n```\n y_scale = (max(x) - min(x))/(qmax - qmin)\n * where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n * data range is adjusted to include 0.\n```\nZero point is calculated as:\n```\nintermediate_zero_point = qmin - min(x)/y_scale\ny_zero_point = cast(round(saturate(itermediate_zero_point)))\n* where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\nData quantization formula is:\n```\ny = saturate (round (x / y_scale) + y_zero_point)\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\n" +----f +input: "Inputs" +output: "Output" +name: "Einsum" +op_type: "Einsum" +attribute { + name: "equation" + s: "" + type: STRING +} +attribute { + name: "Inputs-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nAn einsum of the form ```term1, term2 -> output-term``` produces an output tensor using the following equation\n\n```output[output-term] = reduce-sum( input1[term1] * input2[term] )```\n\nwhere the reduce-sum performs a summation over all the indices occurring in in the input terms (term1, term2)\nthat do not occur in the output-term.\n\nThe Einsum operator evaluates algebraic tensor operations on a sequence of tensors, using the Einstein summation\nconvention. The equation string contains a comma-separated sequence of lower case letters. Each term corresponds to\nan operand tensor, and the characters within the terms correspond to operands dimensions.\n\nThis sequence may be followed by \"->\" to separate the left and right hand side of the equation.\nIf the equation contains \"->\" followed by the right-hand side, the explicit (not classical) form of the Einstein\nsummation is performed, and the right-hand side indices indicate output tensor dimensions. In other cases,\noutput indices are (implicitly) set to the alphabetically sorted sequence of indices appearing exactly once in the\nequation.\n\nWhen a dimension character is repeated in the left-hand side, it represents summation along the dimension.\n\nThe equation may contain ellipsis (\"...\") to enable broadcasting. Ellipsis must indicate a fixed number of dimensions.\nSpecifically, every occurrence of ellipsis in the equation must represent the same number of dimensions.\nThe right-hand side may contain exactly one ellipsis. In implicit mode, the ellipsis dimensions are set to the\nbeginning of the output. The equation string may contain space (U+0020) character.\n" +----f +input: "X" +output: "Y" +name: "Elu" +op_type: "Elu" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nElu takes one input data (Tensor) and produces one output data\n(Tensor) where the function `f(x) = alpha * (exp(x) - 1.) for x <\n0`, `f(x) = x for x >= 0`., is applied to the tensor elementwise.\n\n" +----f +input: "A" +input: "B" +output: "C" +name: "Equal" +op_type: "Equal" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "input" +output: "output" +name: "Erf" +op_type: "Erf" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the error function of the given input tensor element-wise.\n" +----f +input: "input" +output: "output" +name: "Exp" +op_type: "Exp" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the exponential of the given input tensor, element-wise.\n" +----f +input: "input" +input: "shape" +output: "output" +name: "Expand" +op_type: "Expand" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "shape-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nBroadcast the input tensor following the given shape and the broadcast rule.\nThe broadcast rule is similar to numpy.array(input) * numpy.ones(shape):\nDimensions are right alignment;\nTwo corresponding dimension must have the same value, or one of them is equal to 1.\nAlso, this operator is similar to numpy.broadcast_to(input, shape),\nbut the major difference is numpy.broadcast_to() does not allow shape to be smaller than input.size().\nIt is possible that the output.shape is not equal to shape, when some dimensions in shape is equal to 1,\nor the shape.ndim < input.shape.ndim.\n" +----f +input: "input" +output: "output" +name: "EyeLike" +op_type: "EyeLike" +attribute { + name: "dtype" + s: "" + type: INT +} +attribute { + name: "k" + i: 0 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGenerate a 2D tensor (matrix) with ones on the diagonal and zeros everywhere else. Only 2D\ntensors are supported, i.e. input T1 must be of rank 2. The shape of the output tensor is the\nsame as the input tensor. The data type can be specified by the \'dtype\' argument. If\n\'dtype\' is not specified, then the type of input tensor is used. By default, the main diagonal\nis populated with ones, but attribute \'k\' can be used to populate upper or lower diagonals.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n" +----f +input: "X" +output: "Y" +name: "FeatureVectorizer" +op_type: "FeatureVectorizer" +attribute { + name: "inputdimensions" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Concatenates input tensors into one continuous output.
\n All input shapes are 2-D and are concatenated along the second dimention. 1-D tensors are treated as [1,C].\n Inputs are copied to the output maintaining the order of the input arguments.
\n All inputs must be integers or floats, while the output will be all floating point values.\n" +----f +input: "input" +output: "output" +name: "Flatten" +op_type: "Flatten" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nFlattens the input tensor into a 2D matrix. If input tensor has shape\n(d_0, d_1, ... d_n) then the output will have shape\n(d_0 X d_1 ... d_(axis-1), d_axis X d_(axis+1) ... X dn).\n" +----f +input: "X" +output: "Y" +name: "Floor" +op_type: "Floor" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nFloor takes one input data (Tensor) and produces one output data\n(Tensor) where the floor is, y = floor(x), is applied to\nthe tensor elementwise.\n" +----f +input: "X" +input: "W" +input: "R" +input: "B" +input: "sequence_lens" +input: "initial_h" +output: "Y" +output: "Y_h" +name: "GRU" +op_type: "GRU" +attribute { + name: "activation_alpha" + s: "" + type: FLOATS +} +attribute { + name: "activation_beta" + s: "" + type: FLOATS +} +attribute { + name: "activations" + s: "" + type: STRINGS +} +attribute { + name: "clip" + s: "" + type: FLOAT +} +attribute { + name: "direction" + s: "forward" + type: STRING +} +attribute { + name: "hidden_size" + s: "" + type: INT +} +attribute { + name: "linear_before_reset" + i: 0 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int32" + type: STRINGS +} +attribute { + name: "initial_h-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nComputes an one-layer GRU. This operator is usually supported via some custom\nimplementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`z` - update gate\n\n`r` - reset gate\n\n`h` - hidden gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[zrh]` - W parameter weight matrix for update, reset, and hidden gates\n\n`R[zrh]` - R recurrence weight matrix for update, reset, and hidden gates\n\n`Wb[zrh]` - W bias vectors for update, reset, and hidden gates\n\n`Rb[zrh]` - R bias vectors for update, reset, and hidden gates\n\n`WB[zrh]` - W parameter weight matrix for backward update, reset, and hidden gates\n\n`RB[zrh]` - R recurrence weight matrix for backward update, reset, and hidden gates\n\n`WBb[zrh]` - W bias vectors for backward update, reset, and hidden gates\n\n`RBb[zrh]` - R bias vectors for backward update, reset, and hidden gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n Relu(x) - max(0, x)\n\n Tanh(x) - (1 - e^{-2x})/(1 + e^{-2x})\n\n Sigmoid(x) - 1/(1 + e^{-x})\n\n (NOTE: Below are optional)\n\n Affine(x) - alpha*x + beta\n\n LeakyRelu(x) - x if x >= 0 else alpha * x\n\n ThresholdedRelu(x) - x if x >= alpha else 0\n\n ScaledTanh(x) - alpha*Tanh(beta*x)\n\n HardSigmoid(x) - min(max(alpha*x + beta, 0), 1)\n\n Elu(x) - x if x >= 0 else alpha*(e^x - 1)\n\n Softsign(x) - x/(1 + |x|)\n\n Softplus(x) - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh):\n\n - zt = f(Xt*(Wz^T) + Ht-1*(Rz^T) + Wbz + Rbz)\n\n - rt = f(Xt*(Wr^T) + Ht-1*(Rr^T) + Wbr + Rbr)\n\n - ht = g(Xt*(Wh^T) + (rt (.) Ht-1)*(Rh^T) + Rbh + Wbh) # default, when linear_before_reset = 0\n\n - ht = g(Xt*(Wh^T) + (rt (.) (Ht-1*(Rh^T) + Rbh)) + Wbh) # when linear_before_reset != 0\n\n - Ht = (1 - zt) (.) ht + zt (.) Ht-1\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "data" +input: "indices" +output: "output" +name: "Gather" +op_type: "Gather" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nGiven `data` tensor of rank r >= 1, and `indices` tensor of rank q, gather\nentries of the axis dimension of `data` (by default outer-most one as axis=0) indexed by `indices`, and concatenates\nthem in an output tensor of rank q + (r - 1).\n\naxis = 0 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[k , j_{0}, ..., j_{r-2}]\n\n```\n data = [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ]\n indices = [\n [0, 1],\n [1, 2],\n ]\n output = [\n [\n [1.0, 1.2],\n [2.3, 3.4],\n ],\n [\n [2.3, 3.4],\n [4.5, 5.7],\n ],\n ]\n```\naxis = 1 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[j_{0}, k, j_{1}, ..., j_{r-2}]\n\n```\n data = [\n [1.0, 1.2, 1.9],\n [2.3, 3.4, 3.9],\n [4.5, 5.7, 5.9],\n ]\n indices = [\n [0, 2],\n ]\n axis = 1,\n output = [\n [\n [1.0, 1.9],\n [2.3, 3.9],\n [4.5, 5.9],\n ],\n ]\n```\n" +----f +input: "data" +input: "indices" +output: "output" +name: "GatherElements" +op_type: "GatherElements" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n\nGatherElements takes two inputs `data` and `indices` of the same rank r >= 1\nand an optional attribute `axis` that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). It is an indexing operation\nthat produces its output by indexing into the input data tensor at index\npositions determined by elements of the `indices` tensor.\nIts output shape is the same as the shape of `indices` and consists of one value\n(gathered from the `data`) for each element in `indices`.\n\nFor instance, in the 3-D case (r = 3), the output produced is determined\nby the following equations: \n```\n out[i][j][k] = input[index[i][j][k]][j][k] if axis = 0,\n out[i][j][k] = input[i][index[i][j][k]][k] if axis = 1,\n out[i][j][k] = input[i][j][index[i][j][k]] if axis = 2,\n```\n\nThis operator is also the inverse of ScatterElements. It is similar to Torch\'s gather operation.\n\nExample 1:\n```\n data = [\n [1, 2],\n [3, 4],\n ]\n indices = [\n [0, 0],\n [1, 0],\n ]\n axis = 1\n output = [\n [\n [1, 1],\n [4, 3],\n ],\n ]\n```\nExample 2:\n```\n data = [\n [1, 2, 3],\n [4, 5, 6],\n [7, 8, 9],\n ]\n indices = [\n [1, 2, 0],\n [2, 0, 0],\n ]\n axis = 0\n output = [\n [\n [4, 8, 3],\n [7, 2, 3],\n ],\n ]\n```\n" +----f +input: "data" +input: "indices" +output: "output" +name: "GatherND" +op_type: "GatherND" +attribute { + name: "batch_dims" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nGiven `data` tensor of rank `r` >= 1, `indices` tensor of rank `q` >= 1, and `batch_dims` integer `b`, this operator gathers \nslices of `data` into an output tensor of rank `q + r - indices_shape[-1] - 1 - b`.\n\n`indices` is an q-dimensional integer tensor, best thought of as a `(q-1)`-dimensional tensor of index-tuples into `data`, \nwhere each element defines a slice of `data`\n\n`batch_dims` (denoted as `b`) is an integer indicating the number of batch dimensions, i.e the leading `b` number of dimensions of \n`data` tensor and `indices` are representing the batches, and the gather starts from the `b+1` dimension. \n\nSome salient points about the inputs\' rank and shape:\n \n1) r >= 1 and q >= 1 are to be honored. There is no dependency condition to be met between ranks `r` and `q`\n\n2) The first `b` dimensions of the shape of `indices` tensor and `data` tensor must be equal.\n\n3) b < min(q, r) is to be honored.\n\n4) The `indices_shape[-1]` should have a value between 1 (inclusive) and rank `r-b` (inclusive) \n\n5) All values in `indices` are expected to be within bounds [-s, s-1] along axis of size `s` (i.e.) `-data_shape[i] <= indices[...,i] <= data_shape[i] - 1`.\n It is an error if any of the index values are out of bounds.\n\nThe output is computed as follows:\n\nThe output tensor is obtained by mapping each index-tuple in the `indices` tensor to the corresponding slice of the input `data`.\n \n1) If `indices_shape[-1] > r-b` => error condition\n\n2) If `indices_shape[-1] == r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensors\n containing 1-D tensors of dimension `r-b`, where `N` is an integer equals to the product of 1 and all the elements in the batch dimensions \n of the indices_shape. Let us think of each such `r-b` ranked tensor as `indices_slice`. Each *scalar value* corresponding to `data[0:b-1,indices_slice]` \n is filled into the corresponding location of the `(q-b-1)`-dimensional tensor to form the `output` tensor (Example 1 below)\n\n3) If `indices_shape[-1] < r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensor\n containing 1-D tensors of dimension `< r-b`. Let us think of each such tensors as `indices_slice`. Each *tensor slice* corresponding \n to `data[0:b-1, indices_slice , :]` is filled into the corresponding location of the `(q-b-1)`-dimensional tensor \n to form the `output` tensor (Examples 2, 3, 4 and 5 below)\n\nThis operator is the inverse of `ScatterND`.\n\n`Example 1`\n\n batch_dims = 0\n\n data = [[0,1],[2,3]] # data_shape = [2, 2]\n\n indices = [[0,0],[1,1]] # indices_shape = [2, 2]\n\n output = [0,3] # output_shape = [2]\n\n`Example 2`\n\n batch_dims = 0\n\n data = [[0,1],[2,3]] # data_shape = [2, 2]\n\n indices = [[1],[0]] # indices_shape = [2, 1]\n\n output = [[2,3],[0,1]] # output_shape = [2, 2]\n\n`Example 3`\n\n batch_dims = 0\n\n data = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n indices = [[0,1],[1,0]] # indices_shape = [2, 2]\n\n output = [[2,3],[4,5]] # output_shape = [2, 2] \n\n`Example 4`\n\n batch_dims = 0\n\n data = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n indices = [[[0,1]],[[1,0]]] # indices_shape = [2, 1, 2]\n\n output = [[[2,3]],[[4,5]]] # output_shape = [2, 1, 2] \n\n`Example 5`\n\n batch_dims = 1\n\n data = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n indices = [[1],[0]] # indices_shape = [2, 1]\n\n output = [[2,3],[4,5]] # output_shape = [2, 2] \n\n\n" +----f +input: "A" +input: "B" +input: "C" +output: "Y" +name: "Gemm" +op_type: "Gemm" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "beta" + f: 1.0 + type: FLOAT +} +attribute { + name: "transA" + i: 0 + type: INT +} +attribute { + name: "transB" + i: 0 + type: INT +} +attribute { + name: "A-types" + strings: "int32" + strings: "float16" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "int32" + strings: "float16" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "C-types" + strings: "int32" + strings: "float16" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "General Matrix multiplication:\nhttps://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3\n\nA\' = transpose(A) if transA else A\n\nB\' = transpose(B) if transB else B\n\nCompute Y = alpha * A\' * B\' + beta * C, where input tensor A has shape (M, K) or (K, M),\ninput tensor B has shape (K, N) or (N, K), input tensor C is broadcastable to shape (M, N),\nand output tensor Y has shape (M, N). A will be transposed before doing the\ncomputation if attribute transA is non-zero, same for B and transB.\nThis operator supports **unidirectional broadcasting** (tensor C should be unidirectional broadcastable to tensor A * B); for more details please check [the doc](Broadcasting.md).\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "X" +output: "Y" +name: "GlobalAveragePool" +op_type: "GlobalAveragePool" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n GlobalAveragePool consumes an input tensor X and applies average pooling across\n the values in the same channel. This is equivalent to AveragePool with kernel size\n equal to the spatial dimension of input tensor." +----f +input: "X" +output: "Y" +name: "GlobalLpPool" +op_type: "GlobalLpPool" +attribute { + name: "p" + i: 2 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n GlobalLpPool consumes an input tensor X and applies lp pool pooling across\n the values in the same channel. This is equivalent to LpPool with kernel size\n equal to the spatial dimension of input tensor." +----f +input: "X" +output: "Y" +name: "GlobalMaxPool" +op_type: "GlobalMaxPool" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n GlobalMaxPool consumes an input tensor X and applies max pooling across\n the values in the same channel. This is equivalent to MaxPool with kernel size\n equal to the spatial dimension of input tensor." +----f +input: "Inputs" +output: "Outputs" +name: "Gradient" +op_type: "Gradient" +attribute { + name: "xs" + s: "" + type: STRINGS +} +attribute { + name: "y" + s: "" + type: STRING +} +attribute { + name: "zs" + s: "" + type: STRINGS +} +attribute { + name: "Inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGradient operator computes the partial derivatives of a specific tensor w.r.t.\nsome other tensors. This operator is widely used in gradient-based training\nalgorithms. To illustrate its use, let\'s consider a computation graph,\n\n```\nX -----.\n |\n v\nW --> Conv --> H --> Gemm --> Y\n ^\n |\n Z\n```\n\n, where W and Z are trainable tensors. Note that operators\' attributes are\nomitted for the sake of simplicity. Let dY/dW (dY/dZ) be the gradient of\nY with respect to W (Z). The user can compute gradient by inserting Gradient\noperator to form another graph shown below.\n\n```\nW --> Conv --> H --> Gemm --> Y\n| ^ ^\n| | |\n| X Z\n| | |\n| | .----------\'\n| | | (W/Z/X is the 1st/2nd/3rd input of Gradient as shown in\n| | | \"xs\" followed by \"zs\")\n| v v\n\'---> Gradient(xs=[\"W\", \"Z\"], zs=[\"X\"], y=\"Y\")\n | |\n | \'-----------------------------------> dY/dW (1st output of Gradient)\n |\n \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nBy definition, the tensor \"y\" is a function of independent variables in \"xs\"\nand \"zs\". Since we only compute the gradient of \"y\" w.r.t. the differentiable\nvariables in \"xs\", this Gradient only outputs dY/dW and dY/dZ. Note that \"H\"\ncannot appear in \"xs\" and \"zs\". The reason is that \"H\" can be determined by\ntensors \"W\" and \"X\" and therefore \"H\" is not an independent variable.\n\nAll outputs are optional. If needed, for example, user can assign an empty\nstring to the 1st output name of that Gradient to skip the generation of dY/dW.\nNote that the concept of optional outputs can also be found in ONNX\'s RNN, GRU,\nand LSTM.\n\nGradient operator can compute derivative against intermediate tensors. For\nexample, the gradient of Y with respect to H can be done via\n\n```\nW --> Conv --> H --> Gemm --> Y\n ^ | ^\n | | |\n X | Z\n .-------\' |\n | .----------\'\n | | (H/Z is the 1st/2nd input of Gradient as shown in \"xs\")\n v v\n Gradient(xs=[\"H\", \"Z\"], y=\"Y\")\n | |\n | \'-----------------------------------> dY/dH (1st output of Gradient)\n |\n \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nIt is possible to represent high-order differentiation using Gradient operators.\nFor example, given the following linear model:\n\n```\nW --> Gemm --> Y --> Loss --> O\n ^ ^\n | |\n X L\n```\n\nTo compute the 2nd order derivative of O with respect to W (denoted by\nd^2O/dW^2), one can do\n\n```\nW --> Gemm --> Y --> Loss --> O\n| ^ ^\n| | |\n| X .------------L\n| | | |\n| | | v\n+------+-+> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"O\") ---> dO/dX (1st output of Gradient)\n| | | |\n| | | \'---> dO/dW (2nd output of Gradient)\n| v v\n\'---> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"dO/dW\") ---> d(dO/dW)dX (1st output of\n | Gradient)\n |\n |\n \'---> d^2O/dW^2 (2nd output of Gradient)\n```\n\nThe tensors named in attributes \"xs\", \"zs\", and \"y\" define the differentiated\ncomputation graph, and the inputs to Gradient node define the values at\nwhich the gradient is computed. We can feed different tensors to the identified\ngraph. For example, one can compute the gradient of Y with respect to H at \na specific value of H, H_1, by providing that value as an input to the Gradient\nnode.\n\n```\nW --> Conv --> H --> Gemm --> Y\n ^ ^\n | |\n X Z\n\n Z_1 (2nd input of Gradient)\n |\n v\nH_1 --> Gradient(xs=[\"H\", \"Z\"], y=\"Y\") ---> dY/dH when H = H_1 and Y = Y_1.\n |\n \'------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nWhen the inputs of Gradient are the tensors named in \"xs\" and \"zs\", the\ncomputation can be optimized. More specifically, intermediate variables in\nforward pass can be reused if the gradient is computed via reverse-mode\nauto-differentiation.\n\n" +----f +input: "Inputs" +output: "Outputs" +name: "GraphCall" +op_type: "GraphCall" +attribute { + name: "graph_name" + s: "" + type: STRING +} +attribute { + name: "Inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nThe GraphCall operator invokes a graph inside TrainingInfoProto\'s\nalgorithm field. The GraphCall inputs and outputs are bound to those of\ninvoked graph by position. If a graph input has an initializer, that input\nis considered optional. All graph outputs are optional.\n\nBelow Python syntax is used for describing dictionary and list.\n\nAssume that ModelProto\'s graph field has\n- name: \"MyInferenceGraph\"\n- input: [\"X\", \"W\", \"Z\"]\n- initializer: [W]\n- output: [\"Y\"]\n\nas visualized below for inference.\n\n```\nX -----.\n |\n v\nW --> Conv --> H --> Gemm --> Y\n ^\n |\n Z\n```\n\nAssume that the training algorithm contains\n\n- inputs: [\"X_1\", \"Z_1\", \"C\"]\n- initializer: [T]\n- outputs: [\"W_new\"]\n\nwith a dictionary\n\n- update_binding: {\"W\": \"W_new\", \"T\": \"T_new\"}\n\nInside the training algorithm graph, one can invoke the inference\ngraph via adding a GraphCall node with\n\n- inputs: [\"X_1\", \"W\", Z_1\"]\n- outputs: [\"Y_1\"]\n- an attribute graph_name=\"MyInferenceGraph\",\n\nThe initializers, \"W\" and \"T\" in this case, in update_binding\nare considered globally-visible and mutable variables, which\ncan be used as inputs of operators in the training graph.\n\nAn example training algorithm graph may look like\n\n```\n.-------- W (a global and mutable variable from\n| | the inference graph)\n| |\n| .-----\'-----------.\n| | |\n| | v\n| | .-- X_1 --> GraphCall(graph_name=\"MyInferenceGraph\")\n| | | | |\n| | | | |\n| | | Z_1 -----\' |\n| | | | V\n| | | | Y_1 ---> Loss ---> O\n| | | | ^\n| | | | |\n| | `--. | C\n| | | | |\n| | | | .----------------\'\n| | | | |\n| | v v v\n| `--> Gradient(xs=[\"W\"], zs=[\"X_1\", \"Z_1\", \"C\"], y=\"O\")\n| |\n| v\n| dO_dW (gradient of W) 1 (a scalar one)\n| | |\n| V v\n| Div <--- T ------------> Add ---> T_new\n| | (T is the number of training iterations.\n| | T is also globally visible and mutable.)\n| v\n`-----> Sub ----> W_new\n```\n\nwhere Loss is a dummy node which computes the minimized objective function.\n\nThe variable \"W\" is an optional input in the called graph.\nIf the user omits it, the input list of GraphCall becomes [\"X_1\", \"\", \"Z_1\"].\nIn this case, from the view of computation graph, the Conv operator invoked by\nGraphCall\'s may be still connected the global \"W\" variable and therefore the\nstructure of the computation graph is unchanged.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Greater" +op_type: "Greater" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `greater` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "GreaterOrEqual" +op_type: "GreaterOrEqual" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `greater_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +name: "HardSigmoid" +op_type: "HardSigmoid" +attribute { + name: "alpha" + f: 0.2 + type: FLOAT +} +attribute { + name: "beta" + f: 0.5 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nHardSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the HardSigmoid function, y = max(0, min(1, alpha * x + beta)),\nis applied to the tensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Hardmax" +op_type: "Hardmax" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe operator computes the hardmax (1 for the first maximum value, and 0 for all others) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the hardmax values of the corresponding input.\n" +----f +input: "input" +output: "output" +name: "Identity" +op_type: "Identity" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "Identity operator" +----f +input: "cond" +output: "outputs" +name: "If" +op_type: "If" +attribute { + name: "else_branch" + s: "" + type: GRAPH +} +attribute { + name: "then_branch" + s: "" + type: GRAPH +} +attribute { + name: "cond-types" + strings: "bool" + type: STRINGS +} +doc_string: "If conditional" +----f +input: "X" +output: "Y" +name: "Imputer" +op_type: "Imputer" +attribute { + name: "imputed_value_floats" + s: "" + type: FLOATS +} +attribute { + name: "imputed_value_int64s" + s: "" + type: INTS +} +attribute { + name: "replaced_value_float" + f: 0.0 + type: FLOAT +} +attribute { + name: "replaced_value_int64" + i: 0 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Replaces inputs that equal one value with another, leaving all other elements alone.
\n This operator is typically used to replace missing values in situations where they have a canonical\n representation, such as -1, 0, NaN, or some extreme value.
\n One and only one of imputed_value_floats or imputed_value_int64s should be defined -- floats if the input tensor\n holds floats, integers if the input tensor holds integers. The imputed values must all fit within the\n width of the tensor element type. One and only one of the replaced_value_float or replaced_value_int64 should be defined,\n which one depends on whether floats or integers are being processed.
\n The imputed_value attribute length can be 1 element, or it can have one element per input feature.
In other words, if the input tensor has the shape [*,F], then the length of the attribute array may be 1 or F. If it is 1, then it is broadcast along the last dimension and applied to each feature.\n" +----f +input: "input" +input: "scale" +input: "B" +output: "output" +name: "InstanceNormalization" +op_type: "InstanceNormalization" +attribute { + name: "epsilon" + f: 1e-05 + type: FLOAT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "scale-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCarries out instance normalization as described in the paper\nhttps://arxiv.org/abs/1607.08022.\n\ny = scale * (x - mean) / sqrt(variance + epsilon) + B,\nwhere mean and variance are computed per instance per channel.\n\n" +----f +input: "X" +output: "Y" +name: "IsInf" +op_type: "IsInf" +attribute { + name: "detect_negative" + i: 1 + type: INT +} +attribute { + name: "detect_positive" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "Map infinity to true and other values to false." +----f +input: "X" +output: "Y" +name: "IsNaN" +op_type: "IsNaN" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "Returns which elements of the input are NaN." +----f +input: "X" +output: "Y" +name: "LRN" +op_type: "LRN" +attribute { + name: "alpha" + f: 0.0001 + type: FLOAT +} +attribute { + name: "beta" + f: 0.75 + type: FLOAT +} +attribute { + name: "bias" + f: 1.0 + type: FLOAT +} +attribute { + name: "size" + s: "" + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nLocal Response Normalization proposed in the [AlexNet paper](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf).\nIt normalizes over local input regions.\nThe local region is defined across the channels. For an element X[n, c, d1, ..., dk] in a tensor\nof shape (N x C x D1 x D2, ..., Dk), its region is\n{X[n, i, d1, ..., dk] | max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2))}.\n\nsquare_sum[n, c, d1, ..., dk] = sum(X[n, i, d1, ..., dk] ^ 2),\nwhere max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2)).\n\nY[n, c, d1, ..., dk] = X[n, c, d1, ..., dk] / (bias + alpha / size * square_sum[n, c, d1, ..., dk] ) ^ beta\n" +----f +input: "X" +input: "W" +input: "R" +input: "B" +input: "sequence_lens" +input: "initial_h" +input: "initial_c" +input: "P" +output: "Y" +output: "Y_h" +output: "Y_c" +name: "LSTM" +op_type: "LSTM" +attribute { + name: "activation_alpha" + s: "" + type: FLOATS +} +attribute { + name: "activation_beta" + s: "" + type: FLOATS +} +attribute { + name: "activations" + s: "" + type: STRINGS +} +attribute { + name: "clip" + s: "" + type: FLOAT +} +attribute { + name: "direction" + s: "forward" + type: STRING +} +attribute { + name: "hidden_size" + s: "" + type: INT +} +attribute { + name: "input_forget" + i: 0 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int32" + type: STRINGS +} +attribute { + name: "initial_h-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "initial_c-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "P-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nComputes an one-layer LSTM. This operator is usually supported via some\ncustom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`o` - output gate\n\n`f` - forget gate\n\n`c` - cell gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[iofc]` - W parameter weight matrix for input, output, forget, and cell gates\n\n`R[iofc]` - R recurrence weight matrix for input, output, forget, and cell gates\n\n`Wb[iofc]` - W bias vectors for input, output, forget, and cell gates\n\n`Rb[iofc]` - R bias vectors for input, output, forget, and cell gates\n\n`P[iof]` - P peephole weight vector for input, output, and forget gates\n\n`WB[iofc]` - W parameter weight matrix for backward input, output, forget, and cell gates\n\n`RB[iofc]` - R recurrence weight matrix for backward input, output, forget, and cell gates\n\n`WBb[iofc]` - W bias vectors for backward input, output, forget, and cell gates\n\n`RBb[iofc]` - R bias vectors for backward input, output, forget, and cell gates\n\n`PB[iof]` - P peephole weight vector for backward input, output, and forget gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n Relu(x) - max(0, x)\n\n Tanh(x) - (1 - e^{-2x})/(1 + e^{-2x})\n\n Sigmoid(x) - 1/(1 + e^{-x})\n\n (NOTE: Below are optional)\n\n Affine(x) - alpha*x + beta\n\n LeakyRelu(x) - x if x >= 0 else alpha * x\n\n ThresholdedRelu(x) - x if x >= alpha else 0\n\n ScaledTanh(x) - alpha*Tanh(beta*x)\n\n HardSigmoid(x) - min(max(alpha*x + beta, 0), 1)\n\n Elu(x) - x if x >= 0 else alpha*(e^x - 1)\n\n Softsign(x) - x/(1 + |x|)\n\n Softplus(x) - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh, h=Tanh):\n\n - it = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Pi (.) Ct-1 + Wbi + Rbi)\n\n - ft = f(Xt*(Wf^T) + Ht-1*(Rf^T) + Pf (.) Ct-1 + Wbf + Rbf)\n\n - ct = g(Xt*(Wc^T) + Ht-1*(Rc^T) + Wbc + Rbc)\n\n - Ct = ft (.) Ct-1 + it (.) ct\n\n - ot = f(Xt*(Wo^T) + Ht-1*(Ro^T) + Po (.) Ct + Wbo + Rbo)\n\n - Ht = ot (.) h(Ct)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "X" +output: "Y" +name: "LabelEncoder" +op_type: "LabelEncoder" +attribute { + name: "default_float" + f: -0.0 + type: FLOAT +} +attribute { + name: "default_int64" + i: -1 + type: INT +} +attribute { + name: "default_string" + s: "_Unused" + type: STRING +} +attribute { + name: "keys_floats" + s: "" + type: FLOATS +} +attribute { + name: "keys_int64s" + s: "" + type: INTS +} +attribute { + name: "keys_strings" + s: "" + type: STRINGS +} +attribute { + name: "values_floats" + s: "" + type: FLOATS +} +attribute { + name: "values_int64s" + s: "" + type: INTS +} +attribute { + name: "values_strings" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "string" + strings: "float" + strings: "int64" + type: STRINGS +} +doc_string: "\n Maps each element in the input tensor to another value.
\n The mapping is determined by the two parallel attributes, \'keys_*\' and\n \'values_*\' attribute. The i-th value in the specified \'keys_*\' attribute\n would be mapped to the i-th value in the specified \'values_*\' attribute. It\n implies that input\'s element type and the element type of the specified\n \'keys_*\' should be identical while the output type is identical to the\n specified \'values_*\' attribute. If an input element can not be found in the\n specified \'keys_*\' attribute, the \'default_*\' that matches the specified\n \'values_*\' attribute may be used as its output value.
\n Let\'s consider an example which maps a string tensor to an integer tensor.\n Assume and \'keys_strings\' is [\"Amy\", \"Sally\"], \'values_int64s\' is [5, 6],\n and \'default_int64\' is \'-1\'. The input [\"Dori\", \"Amy\", \"Amy\", \"Sally\",\n \"Sally\"] would be mapped to [-1, 5, 5, 6, 6].
\n Since this operator is an one-to-one mapping, its input and output shapes\n are the same. Notice that only one of \'keys_*\'/\'values_*\' can be set.
\n For key look-up, bit-wise comparison is used so even a float NaN can be\n mapped to a value in \'values_*\' attribute.
\n" +----f +input: "X" +output: "Y" +name: "LeakyRelu" +op_type: "LeakyRelu" +attribute { + name: "alpha" + f: 0.01 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nLeakyRelu takes input data (Tensor) and an argument alpha, and produces one\noutput data (Tensor) where the function `f(x) = alpha * x for x < 0`,\n`f(x) = x for x >= 0`, is applied to the data tensor elementwise.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Less" +op_type: "Less" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `less` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "LessOrEqual" +op_type: "LessOrEqual" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `less_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +output: "Z" +name: "LinearClassifier" +op_type: "LinearClassifier" +attribute { + name: "classlabels_ints" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "intercepts" + s: "" + type: FLOATS +} +attribute { + name: "multi_class" + i: 0 + type: INT +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Linear classifier\n" +----f +input: "X" +output: "Y" +name: "LinearRegressor" +op_type: "LinearRegressor" +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "intercepts" + s: "" + type: FLOATS +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "targets" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Generalized linear regression evaluation.
\n If targets is set to 1 (default) then univariate regression is performed.
\n If targets is set to M then M sets of coefficients must be passed in as a sequence\n and M results will be output for each input n in N.
\n The coefficients array is of length n, and the coefficients for each target are contiguous.\n Intercepts are optional but if provided must match the number of targets.\n" +----f +input: "input" +output: "output" +name: "Log" +op_type: "Log" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the natural log of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "LogSoftmax" +op_type: "LogSoftmax" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe operator computes the logsoftmax (log of softmax) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the logsoftmax values of the corresponding input.\n" +----f +input: "M" +input: "cond" +input: "v_initial" +output: "v_final_and_scan_outputs" +name: "Loop" +op_type: "Loop" +attribute { + name: "body" + s: "" + type: GRAPH +} +attribute { + name: "M-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "cond-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "v_initial-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGeneric Looping construct. This loop has multiple termination conditions:\n\n1) Trip count. Iteration count specified at runtime. Set by\n specifying the input M. Optional. Set to empty string to omit.\n Note that a static trip count (specified at graph construction time) can be\n specified by passing in a constant node for input M.\n2) Loop termination condition. This is an input to the op that determines\n whether to run the first iteration and also a loop-carried dependency for\n the body graph. The body graph must yield a value for the condition variable,\n whether this input is provided or not.\n\nThis table summarizes the operating modes of this operator with equivalent\nC-style code:\n\n Operator inputs defined as (max_trip_count, condition_var).\n\n input (\"\", \"\"):\n for (int i=0; ; ++i) {\n cond = ... // Note this value is ignored, but is required in the body\n }\n\n input (\"\", cond) // Note this is analogous to a while loop\n bool cond = ...;\n for (int i=0; cond; ++i) {\n cond = ...;\n }\n\n input (\"\", 1) // Note this is analogous to a do-while loop\n bool cond = true\n for (int i=0; cond; ++i) {\n cond = ...;\n }\n\n input (trip_count, \"\") // Note this is analogous to a for loop\n int trip_count = ...\n for (int i=0; i < trip_count; ++i) {\n cond = ...; // ignored\n }\n\n input (trip_count, cond)\n int trip_count = ...;\n bool cond = ...;\n for (int i=0; i < trip_count && cond; ++i) {\n cond = ...;\n }\n\n\n*Sample usage - cond as well as trip count*\n\n graph predict-net {\n %a = Constant[value = ]()\n %b = Constant[value = ]()\n %keepgoing = Constant[value = ]()\n %max_trip_count = Constant[value = ]()\n %keepgoing_out, %b_out, %user_defined_vals = Loop[body = ](%max_trip_count, %keepgoing, %b)\n return\n }\n\n graph body-net (\n %i[INT32, scalar] // iteration number\n %keepgoing_in[BOOL, scalar] // incoming loop-termination-condition; not used\n %b_in[INT32, scalar] // incoming value of loop-carried-dependency b\n ) {\n %my_local = Add(%a, %b_in)\n %b_out = Sub(%a, %b_in) // outgoing value of loop-carried-dependency b\n %keepgoing_out = Greater(%my_local, %b_out) // outgoing loop-termination-condition\n %user_defined_val = Add(%b_in, %b_in) // scan-output value to be accumulated\n return %keepgoing_out, %b_out, %user_defined_val\n }\n\n*Sample equivalent C code*\n\n {\n /* User-defined code (enclosing scope) */\n int a = 3, b = 6;\n bool keepgoing = true; // Analogous to input cond\n /* End user-defined code */\n\n /* Implicitly-defined code */\n const int max_trip_count = 10; // Analogous to input M\n int user_defined_vals[]; // Imagine this is resizable\n /* End implicitly-defined code */\n /* initialize loop-carried variables and scan-output variables */\n bool keepgoing_out = keepgoing\n int b_out = b\n\n for (int i=0; i < max_trip_count && keepgoing_out; ++i) {\n /* Implicitly-defined code: bind actual parameter values\n to formal parameter variables of loop-body */\n bool keepgoing_in = keepgoing_out; \n bool b_in = b_out;\n\n /* User-defined code (loop body) */\n int my_local = a + b_in; // Reading value \"a\" from the enclosing scope is fine\n b_out = a - b_in;\n keepgoing_out = my_local > b_out; \n user_defined_val = b_in + b_in; // b_in and b_out are different variables\n /* End user-defined code */\n\n /* Implicitly defined-code */\n user_defined_vals[i] = user_defined_val // accumulate scan-output values\n }\n // int t = my_local; // Can\'t do this. my_local is not accessible here.\n\n // The values below are bound to the output variables of the loop and therefore accessible\n // b_out; user_defined_vals; keepgoing_out;\n }\n\nThere are several things of note in this code snippet:\n\n1) Values from the enclosing scope (i.e. variable \"a\" here) are in scope and can\n be referenced in the inputs of the loop.\n2) Any values computed in the loop body that needs to be used in a subsequent\n iteration or after the loop are modelled using a pair of variables in the loop-body,\n consisting of an input variable (eg., b_in) and an output variable (eg., b_out).\n These are referred to as loop-carried dependences. The loop operation node\n supplies the input value of the input variable for the first iteration, and\n returns the output value of the output variable produced by the final\n iteration.\n3) Scan_output variables are used to implicitly concatenate values computed across\n all the iterations. In the above example, the value of user_defined_val computed\n over all iterations are concatenated and returned as the value of user_defined_vals\n after the loop.\n4) Values created in the body cannot be accessed in the enclosing scope,\n except using the mechanism described above.\n\nNote that the semantics of this op support \"diagonal\" or \"wavefront\" execution.\n(See Step 3 here for an example:\nhttps://devblogs.nvidia.com/optimizing-recurrent-neural-networks-cudnn-5/).\nFrontends should emit multi-layer RNNs as a series of While operators (with\ntime being the inner looping dimension), with each successive layer consuming\nthe scan_outputs from the previous layer, possibly going through several\npoint-wise operators (e.g. dropout, residual connections, linear layer).\n" +----f +input: "input" +output: "output" +name: "LpNormalization" +op_type: "LpNormalization" +attribute { + name: "axis" + i: -1 + type: INT +} +attribute { + name: "p" + i: 2 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nGiven a matrix, apply Lp-normalization along the provided axis.\n" +----f +input: "X" +output: "Y" +name: "LpPool" +op_type: "LpPool" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "p" + i: 2 + type: INT +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n LpPool consumes an input tensor X and applies Lp pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n Lp pooling consisting of computing the Lp norm on all values of a subset\n of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing." +----f +input: "A" +input: "B" +output: "Y" +name: "MatMul" +op_type: "MatMul" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html\n" +----f +input: "A" +input: "B" +input: "a_zero_point" +input: "b_zero_point" +output: "Y" +name: "MatMulInteger" +op_type: "MatMulInteger" +attribute { + name: "A-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "B-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "a_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "b_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nThe production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n" +----f +input: "data_0" +output: "max" +name: "Max" +op_type: "Max" +attribute { + name: "data_0-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nElement-wise max of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +output: "Indices" +name: "MaxPool" +op_type: "MaxPool" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "ceil_mode" + i: 0 + type: INT +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "storage_order" + i: 0 + type: INT +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "int8" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "float" + type: STRINGS +} +doc_string: "\n MaxPool consumes an input tensor X and applies max pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n max pooling consisting of computing the max on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) - input_spatial_shape[i]\n ```\n The output of each pooling window is maximum number of elements exclude pad. \n " +----f +input: "X" +input: "rois" +output: "Y" +name: "MaxRoiPool" +op_type: "MaxRoiPool" +attribute { + name: "pooled_shape" + s: "" + type: INTS +} +attribute { + name: "spatial_scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "rois-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n ROI max pool consumes an input tensor X and region of interests (RoIs) to\n apply max pooling across each RoI, to produce output 4-D tensor of shape\n (num_rois, channels, pooled_shape[0], pooled_shape[1])." +----f +input: "X" +input: "I" +input: "output_shape" +output: "output" +name: "MaxUnpool" +op_type: "MaxUnpool" +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "I-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "output_shape-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nMaxUnpool essentially computes the partial inverse of the MaxPool op.\n The input information to this op is typically the the output information from a MaxPool op. The first\n input tensor X is the tensor that needs to be unpooled, which is typically the pooled tensor (first output)\n from MaxPool. The second input tensor, I, contains the indices to the (locally maximal) elements corrsponding\n to the elements in the first input tensor X. Input tensor I is typically the second output of the MaxPool op.\n The third (optional) input is a tensor that specifies the output size of the unpooling operation.\n\nMaxUnpool is intended to do \'partial\' inverse of the MaxPool op. \'Partial\' because all the non-maximal\n values from the original input to MaxPool are set to zero in the output of the MaxUnpool op. Pooling\n the result of an unpooling operation should give back the original input to the unpooling op.\n\nMaxUnpool can produce the same output size for several input sizes, which makes unpooling op ambiguous.\n The third input argument, output_size, is meant to disambiguate the op and produce output tensor of\n known/predictable size.\n\nIn addition to the inputs, MaxUnpool takes three attributes, namely kernel_shape, strides, and pads,\n which define the exact unpooling op. The attributes typically have the same values as the corrsponding\n pooling op that the unpooling op is trying to invert.\n" +----f +input: "data_0" +output: "mean" +name: "Mean" +op_type: "Mean" +attribute { + name: "data_0-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nElement-wise mean of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +name: "MeanVarianceNormalization" +op_type: "MeanVarianceNormalization" +attribute { + name: "axes" + ints: 0 + ints: 2 + ints: 3 + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n A MeanVarianceNormalization Function: Perform mean variance normalization\n on the input tensor X using formula:
``` (X-EX)/sqrt(E(X-EX)^2) ```\n" +----f +input: "data_0" +output: "min" +name: "Min" +op_type: "Min" +attribute { + name: "data_0-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nElement-wise min of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "Mod" +op_type: "Mod" +attribute { + name: "fmod" + i: 0 + type: INT +} +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Performs element-wise binary modulus (with Numpy-style broadcasting support). \n The sign of the remainder is the same as that of the Divisor.\n \n Mod operator can also behave like C fmod() or numpy.fmod. In this case, the sign of the remainder however, will be the same as the Dividend \n (in contrast to integer mod). To force a behavior like numpy.fmod() an \'fmod\' Attribute is provided.\n This attribute is set to 0 by default causing the behavior to be like integer mod. \n Setting this attribute to 1 causes the remainder to be calculated similar to that of numpy.fmod().\n\n If the input type is floating point, then `fmod` attribute must be set to 1.\n \n In case of dividend being zero, the results will be platform dependent.\n\n This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "R" +input: "T" +input: "inputs" +output: "outputs" +name: "Momentum" +op_type: "Momentum" +attribute { + name: "alpha" + s: "" + type: FLOAT +} +attribute { + name: "beta" + s: "" + type: FLOAT +} +attribute { + name: "mode" + s: "" + type: STRING +} +attribute { + name: "norm_coefficient" + s: "" + type: FLOAT +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + type: STRINGS +} +attribute { + name: "T-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "inputs-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "\n Compute one iteration of stochastic gradient update with momentum.\n This operator can conduct the optimization of multiple tensor variables.\n\n Let\'s define the behavior of this operator. As you can imagine, SG with momentum requires\n several parameters:\n \n - The learning-rate \"R\".\n - The update count \"T\". That is, the number of conducted training iterations. It should\n be zero in the first training iteration.\n - A L2-norm regularization coefficient \"norm_coefficient\".\n - A decay coefficient of previous accumulated gradient (i.e., momentum) \"alpha\".\n - The scaling coefficient of current gradient \"beta\".\n - An attribute to choose either standard momentum or Nesterov\'s momentum \"mode\" should\n be used.\n\n For the sake of simplicity, assume that there is only one tensor (called \"X\") to be optimized.\n Other necessary inputs are \"X\"\'s gradient (called \"G\") and \"X\"\'s momentum (called \"V\"). This\n Momentum operator maps all these inputs to the new value of \"X\" (called \"X_new\") and its new\n momentum (called \"V_new\").\n \n This operator supports two different momentum algorithms. Set the attribute \"mode\" to\n \"nesterov\" if Nesterov\'s momentum is desired. Otherwise, set the attribute \"model\" to\n \"standard\" to use standard momentum. Computation details are described subsequently.\n\n Let \"+\", \"-\", \"*\", and \"/\" are all element-wise operations with numpy-style broadcasting.\n\n Pseudo code for SG with standard momentum:\n\n // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n // values of all elements in X.\n G_regularized = norm_coefficient * X + G\n\n // In the first training iteration, beta should always be 1.\n beta_adjusted = T > 0 ? beta : 1\n\n // Compute the current momentum based on previous momentum and the current gradient.\n V_new = alpha * V + beta_adjusted * G_regularized\n\n // Update X.\n X_new = X - R * V_new\n\n Pseudo code for SG with Nesterov\'s momentum:\n\n // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n // values of all elements in X.\n G_regularized = norm_coefficient * X + G;\n\n // In the first training iteration, beta should always be 1.\n beta_adjusted = T > 0 ? beta : 1\n\n // Compute the current momentum based on previous momentum and the current gradient.\n V_new = alpha * V + beta_adjusted * G_regularized;\n\n // Compute final update direction and then update X.\n X_new = X - R * (G_regularized + alpha * V_new)\n\n If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\". The same\n pseudo code would be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n be concatenated too) and then our pseudo code becomes applicable.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Mul" +op_type: "Mul" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary multiplication (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "input" +output: "output" +name: "Multinomial" +op_type: "Multinomial" +attribute { + name: "dtype" + i: 6 + type: INT +} +attribute { + name: "sample_size" + i: 1 + type: INT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nGenerate a tensor of samples from a multinomial distribution according to the probabilities\nof each of the possible outcomes.\n" +----f +input: "X" +output: "Y" +name: "Neg" +op_type: "Neg" +attribute { + name: "X-types" + strings: "int8" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +doc_string: "\nNeg takes one input data (Tensor) and produces one output data\n(Tensor) where each element flipped sign, y = -x, is applied to\nthe tensor elementwise.\n" +----f +input: "input" +input: "target" +input: "weight" +output: "loss" +name: "NegativeLogLikelihoodLoss" +op_type: "NegativeLogLikelihoodLoss" +attribute { + name: "ignore_index" + s: "" + type: INT +} +attribute { + name: "reduction" + s: "mean" + type: STRING +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "target-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "weight-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nA NegativeLogLikelihoodLoss operator computes (weighted) negative log likelihood loss.\nIts \"input\" tensor has the shape of (N, C, d1, d2, ..., dk) where k >= 0.\nThe \"input\" tensor contains log-probabilities for input[n, :, d_1, d_2,..., d_k] being in a class of [0, C).\nThe operator\'s \"target\" input tensor has the shape of (N, d1, d2, ..., dk). It encodes class labels (one of C classes)\nor it may contain a special value (indicated by an attribute ignore_index) for N x d1 x d2 x ... x dk samples.\nThe loss value for input[n, :, d_1, d_2,...d_k] being classified as class c = target[n][d_1][d_2]...[d_k] is computed as:\n\n loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k].\n\nWhen an optional \"weight\" is provided, the sample loss is calculated as:\n\n loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k] * weight[c].\n\nloss is zero for the case when target-value equals ignore_index.\n \n loss[n][d_1][d_2]...[d_k] = 0, when target[n][d_1][d_2]...[d_k] = ignore_index\n\nIf \"reduction\" attribute is set to \"none\", the operator\'s output will be the above loss with shape (N, d1, d2, ..., dk).\nIf \"reduction\" attribute is set to \"mean\" (the default attribute value), the output loss is (weight) averaged:\n\n mean(loss), if \"weight\" is not provided,\n\nor if weight is provided,\n\n sum(loss) / sum(weight[target[n][d_1][d_2]...[d_k]]]), for all samples.\n\nIf \"reduction\" attribute is set to \"sum\", the output is a scalar:\n sum(loss).\n\nSee also https://pytorch.org/docs/stable/nn.html#torch.nn.NLLLoss.\n\nExample 1:\n\n // negative log likelihood loss, \"none\" reduction\n N, C, d1 = 2, 3, 2\n input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n target = [[2, 1], [0, 2]]\n\n loss = np.zeros((N, d1))\n for n in range(N):\n for d_1 in range(d1):\n c = target[n][d_1]\n loss[n][d_1] = -input[n][c][d_1]\n\n // print(loss)\n // [[-3. -2.]\n // [-0. -2.]]\n\nExample 2:\n\n // weighted negative log likelihood loss, sum reduction\n N, C, d1 = 2, 3, 2\n input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n target = [[2, 1], [0, 2]]\n weight = [0.2, 0.3, 0.1]\n loss = np.zeros((N, d1))\n for n in range(N):\n for d_1 in range(d1):\n c = target[n][d_1]\n loss[n][d_1] = -input[n][c][d_1] * weight[c]\n\n loss = np.sum(loss)\n // print(loss)\n // -1.1\n\nExample 3:\n\n // weighted negative log likelihood loss, mean reduction\n N, C, d1 = 2, 3, 2\n input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n target = [[2, 1], [0, 2]]\n weight = [0.2, 0.3, 0.1]\n loss = np.zeros((N, d1))\n weight_total = 0\n for n in range(N):\n for d_1 in range(d1):\n c = target[n][d_1]\n loss[n][d_1] = -input[n][c][d_1] * weight[c]\n weight_total = weight_total + weight[c]\n\n loss = np.sum(loss) / weight_total\n // print(loss)\n // -1.57\n" +----f +input: "boxes" +input: "scores" +input: "max_output_boxes_per_class" +input: "iou_threshold" +input: "score_threshold" +output: "selected_indices" +name: "NonMaxSuppression" +op_type: "NonMaxSuppression" +attribute { + name: "center_point_box" + i: 0 + type: INT +} +attribute { + name: "boxes-types" + strings: "float" + type: STRINGS +} +attribute { + name: "scores-types" + strings: "float" + type: STRINGS +} +attribute { + name: "max_output_boxes_per_class-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "iou_threshold-types" + strings: "float" + type: STRINGS +} +attribute { + name: "score_threshold-types" + strings: "float" + type: STRINGS +} +doc_string: "\nFilter out boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.\nBounding boxes with score less than score_threshold are removed. Bounding box format is indicated by attribute center_point_box.\nNote that this algorithm is agnostic to where the origin is in the coordinate system and more generally is invariant to\northogonal transformations and translations of the coordinate system; thus translating or reflections of the coordinate system\nresult in the same boxes being selected by the algorithm.\nThe selected_indices output is a set of integers indexing into the input collection of bounding boxes representing the selected boxes.\nThe bounding box coordinates corresponding to the selected indices can then be obtained using the Gather or GatherND operation.\n" +----f +input: "X" +output: "Y" +name: "NonZero" +op_type: "NonZero" +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Returns the indices of the elements that are non-zero\n (in row-major order - by dimension).\n NonZero behaves similar to numpy.nonzero:\n https://docs.scipy.org/doc/numpy/reference/generated/numpy.nonzero.html\n" +----f +input: "X" +output: "Y" +name: "Normalizer" +op_type: "Normalizer" +attribute { + name: "norm" + s: "MAX" + type: STRING +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Normalize the input. There are three normalization modes, which have the corresponding formulas,\n defined using element-wise infix operators \'/\' and \'^\' and tensor-wide functions \'max\' and \'sum\':
\n
\n Max: Y = X / max(X)
\n L1: Y = X / sum(X)
\n L2: Y = sqrt(X^2 / sum(X^2)}
\n In all modes, if the divisor is zero, Y == X.\n
\n For batches, that is, [N,C] tensors, normalization is done along the C axis. In other words, each row\n of the batch is normalized independently.\n" +----f +input: "X" +output: "Y" +name: "Not" +op_type: "Not" +attribute { + name: "X-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the negation of the input tensor element-wise.\n" +----f +input: "indices" +input: "depth" +input: "values" +output: "output" +name: "OneHot" +op_type: "OneHot" +attribute { + name: "axis" + i: -1 + type: INT +} +attribute { + name: "indices-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "depth-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "values-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Produces a one-hot tensor based on inputs.\n The locations represented by the index values in the \'indices\' input tensor will have \'on_value\'\n and the other locations will have \'off_value\' in the output tensor, where \'on_value\' and \'off_value\'\n are specified as part of required input argument \'values\', which is a two-element tensor of format\n [off_value, on_value]. The rank of the output tensor will be one greater than the rank of the\n input tensor. The additional dimension is for one-hot representation. The additional dimension will\n be inserted at the position specified by \'axis\'. If \'axis\' is not specified then then additional\n dimension will be inserted as the innermost dimension, i.e. axis=-1. The size of the additional\n dimension is specified by required scalar input \'depth\'. The type of the output tensor is the same\n as the type of the \'values\' input. Any entries in the \'indices\' input tensor with values outside\n the range [-depth, depth-1] will result in one-hot representation with all \'off_value\' values in the\n output tensor.\n\n when axis = 0:\n output[input[i, j, k], i, j, k] = 1 for all i, j, k and 0 otherwise.\n\n when axis = -1:\n output[i, j, k, input[i, j, k]] = 1 for all i, j, k and 0 otherwise.\n\n" +----f +input: "X" +output: "Y" +name: "OneHotEncoder" +op_type: "OneHotEncoder" +attribute { + name: "cats_int64s" + s: "" + type: INTS +} +attribute { + name: "cats_strings" + s: "" + type: STRINGS +} +attribute { + name: "zeros" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "int32" + strings: "string" + strings: "double" + strings: "int64" + strings: "float" + type: STRINGS +} +doc_string: "\n Replace each input element with an array of ones and zeros, where a single\n one is placed at the index of the category that was passed in. The total category count \n will determine the size of the extra dimension of the output array Y.
\n For example, if we pass a tensor with a single value of 4, and a category count of 8, \n the output will be a tensor with ``[0,0,0,0,1,0,0,0]``.
\n This operator assumes every input feature is from the same set of categories.
\n If the input is a tensor of float, int32, or double, the data will be cast\n to integers and the cats_int64s category list will be used for the lookups.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Or" +op_type: "Or" +attribute { + name: "A-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "B-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `or` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +input: "slope" +output: "Y" +name: "PRelu" +op_type: "PRelu" +attribute { + name: "X-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "slope-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPRelu takes input data (Tensor) and slope tensor as input, and produces one\noutput data (Tensor) where the function `f(x) = slope * x for x < 0`,\n`f(x) = x for x >= 0`., is applied to the data tensor elementwise.\nThis operator supports **unidirectional broadcasting** (tensor slope should be unidirectional broadcastable to input tensor X); for more details please check [the doc](Broadcasting.md)." +----f +input: "data" +input: "pads" +input: "constant_value" +output: "output" +name: "Pad" +op_type: "Pad" +attribute { + name: "mode" + s: "constant" + type: STRING +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "pads-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "constant_value-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGiven a tensor containing the data to be padded (`data`), a tensor containing the number of start and end pad values for axis (`pads`), (optionally) a `mode`, and (optionally) `constant_value`, \na padded tensor (`output`) is generated.\n\nThe three supported `modes` are (similar to corresponding modes supported by `numpy.pad`):\n\n1) `constant`(default) - pads with a given constant value as specified by `constant_value` (which defaults to 0)\n\n2) `reflect` - pads with the reflection of the vector mirrored on the first and last values of the vector along each axis\n\n3) `edge` - pads with the edge values of array\n\n\nExample 1 (`constant` mode):\n Insert 0 pads to the beginning of the second dimension.\n\n data = \n [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ] \n\n pads = [0, 2, 0, 0]\n\n mode = \'constant\'\n\n constant_value = 0.0\n\n output = \n [\n [\n [0.0, 0.0, 1.0, 1.2],\n [0.0, 0.0, 2.3, 3.4],\n [0.0, 0.0, 4.5, 5.7],\n ],\n ]\n\n\nExample 2 (`reflect` mode):\n data = \n [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ] \n\n pads = [0, 2, 0, 0]\n\n mode = \'reflect\'\n\n output = \n [\n [\n [1.0, 1.2, 1.0, 1.2],\n [2.3, 3.4, 2.3, 3.4],\n [4.5, 5.7, 4.5, 5.7],\n ],\n ]\n\n\nExample 3 (`edge` mode):\n data = \n [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ] \n\n pads = [0, 2, 0, 0]\n\n mode = \'edge\'\n\n output = \n [\n [\n [1.0, 1.0, 1.0, 1.2],\n [2.3, 2.3, 2.3, 3.4],\n [4.5, 4.5, 4.5, 5.7],\n ],\n ]\n\n" +----f +input: "X" +input: "Y" +output: "Z" +name: "Pow" +op_type: "Pow" +attribute { + name: "X-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPow takes input data (Tensor) and exponent Tensor, and\nproduces one output data (Tensor) where the function `f(x) = x^exponent`,\nis applied to the data tensor elementwise.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)." +----f +input: "x" +input: "x_scale" +input: "x_zero_point" +input: "w" +input: "w_scale" +input: "w_zero_point" +input: "y_scale" +input: "y_zero_point" +input: "B" +output: "y" +name: "QLinearConv" +op_type: "QLinearConv" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "x-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "x_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "x_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "w_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "y_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "y_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "B-types" + strings: "int32" + type: STRINGS +} +doc_string: "\nThe convolution operator consumes a quantized input tensor, its scale and zero point,\na quantized filter, its scale and zero point, and output\'s scale and zero point,\nand computes the quantized output. Each scale and zero-point pair must have same shape.\nIt means they must be either scalars (per tensor) or 1-D tensors (per output channel).\nEach input or output and its related zero point must have same type.\nWhen bias is present it must be quantized using scale = input scale * weight scale and \nzero point as 0.\n" +----f +input: "a" +input: "a_scale" +input: "a_zero_point" +input: "b" +input: "b_scale" +input: "b_zero_point" +input: "y_scale" +input: "y_zero_point" +output: "y" +name: "QLinearMatMul" +op_type: "QLinearMatMul" +attribute { + name: "a-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "a_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "a_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "b-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "b_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "b_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "y_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "y_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nIt consumes two quantized input tensors, their scales and zero points, scale and zero point of output, and computes the quantized output.\nThe quantization formula is y = saturate((x / y_scale) + y_zero_point). For (x / y_scale), it is rounding to nearest ties to even.\nRefer to https://en.wikipedia.org/wiki/Rounding for details. Scale and zero point must have same shape.\nThey must be either scalar (per tensor) or 1-D tensor (per row for \'a\' and per column for \'b\'). If scale and zero point are 1-D tensor,\nthe number of elements of scale and zero point tensor of input \'a\' and output \'y\' should be equal to the number of rows of input \'a\',\nand the number of elements of scale and zero point tensor of input \'b\' should be equal to the number of columns of input \'b\'.\nProduction must never overflow, and accumulation may overflow if and only if in 32 bits.\n" +----f +input: "x" +input: "y_scale" +input: "y_zero_point" +output: "y" +name: "QuantizeLinear" +op_type: "QuantizeLinear" +attribute { + name: "x-types" + strings: "float" + strings: "int32" + type: STRINGS +} +attribute { + name: "y_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "y_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nThe linear per-tensor/layer quantization operator. It consumes a high precision tensor, a scale, a zero point to compute the low precision / quantized tensor.\nThe quantization formula is y = saturate ((x / y_scale) + y_zero_point). For saturation, it saturates to [0, 255] if it\'s uint8, or [-128, 127] if it\'s int8.\nFor (x / y_scale), it\'s rounding to nearest ties to even. Refer to https://en.wikipedia.org/wiki/Rounding for details. \'y_zero_point\' and \'y\' must have same type.\n" +----f +input: "X" +input: "W" +input: "R" +input: "B" +input: "sequence_lens" +input: "initial_h" +output: "Y" +output: "Y_h" +name: "RNN" +op_type: "RNN" +attribute { + name: "activation_alpha" + s: "" + type: FLOATS +} +attribute { + name: "activation_beta" + s: "" + type: FLOATS +} +attribute { + name: "activations" + strings: "Tanh" + strings: "Tanh" + type: STRINGS +} +attribute { + name: "clip" + s: "" + type: FLOAT +} +attribute { + name: "direction" + s: "forward" + type: STRING +} +attribute { + name: "hidden_size" + s: "" + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int32" + type: STRINGS +} +attribute { + name: "initial_h-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nComputes an one-layer simple RNN. This operator is usually supported\nvia some custom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`t` - time step (t-1 means previous time step)\n\n`Wi` - W parameter weight matrix for input gate\n\n`Ri` - R recurrence weight matrix for input gate\n\n`Wbi` - W parameter bias vector for input gate\n\n`Rbi` - R parameter bias vector for input gate\n\n`WBi` - W parameter weight matrix for backward input gate\n\n`RBi` - R recurrence weight matrix for backward input gate\n\n`WBbi` - WR bias vectors for backward input gate\n\n`RBbi` - RR bias vectors for backward input gate\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n Relu(x) - max(0, x)\n\n Tanh(x) - (1 - e^{-2x})/(1 + e^{-2x})\n\n Sigmoid(x) - 1/(1 + e^{-x})\n\n (NOTE: Below are optional)\n\n Affine(x) - alpha*x + beta\n\n LeakyRelu(x) - x if x >= 0 else alpha * x\n\n ThresholdedRelu(x) - x if x >= alpha else 0\n\n ScaledTanh(x) - alpha*Tanh(beta*x)\n\n HardSigmoid(x) - min(max(alpha*x + beta, 0), 1)\n\n Elu(x) - x if x >= 0 else alpha*(e^x - 1)\n\n Softsign(x) - x/(1 + |x|)\n\n Softplus(x) - log(1 + e^x)\n\nEquations (Default: f=Tanh):\n\n - Ht = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Wbi + Rbi)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +output: "output" +name: "RandomNormal" +op_type: "RandomNormal" +attribute { + name: "dtype" + i: 1 + type: INT +} +attribute { + name: "mean" + f: 0.0 + type: FLOAT +} +attribute { + name: "scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "shape" + s: "" + type: INTS +} +doc_string: "\nGenerate a tensor with random values drawn from a normal distribution. The shape\nof the tensor is specified by the `shape` argument and the parameter of the normal distribution\nspecified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n" +----f +input: "input" +output: "output" +name: "RandomNormalLike" +op_type: "RandomNormalLike" +attribute { + name: "dtype" + s: "" + type: INT +} +attribute { + name: "mean" + f: 0.0 + type: FLOAT +} +attribute { + name: "scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGenerate a tensor with random values drawn from a normal distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the normal distribution are specified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message, and be valid as an output type.\n" +----f +output: "output" +name: "RandomUniform" +op_type: "RandomUniform" +attribute { + name: "dtype" + i: 1 + type: INT +} +attribute { + name: "high" + f: 1.0 + type: FLOAT +} +attribute { + name: "low" + f: 0.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "shape" + s: "" + type: INTS +} +doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution. The shape\nof the tensor is specified by the `shape` argument and the range by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n" +----f +input: "input" +output: "output" +name: "RandomUniformLike" +op_type: "RandomUniformLike" +attribute { + name: "dtype" + s: "" + type: INT +} +attribute { + name: "high" + f: 1.0 + type: FLOAT +} +attribute { + name: "low" + f: 0.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the uniform distribution are specified by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n" +----f +input: "start" +input: "limit" +input: "delta" +output: "output" +name: "Range" +op_type: "Range" +attribute { + name: "start-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +attribute { + name: "limit-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +attribute { + name: "delta-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +doc_string: "\nGenerate a tensor containing a sequence of numbers that begin at `start` and extends by increments of `delta`\nup to `limit` (exclusive).\n\nThe number of elements in the output of range is computed as below-\n\n`number_of_elements = max( ceil( (limit - start) / delta ) , 0 )`\n\nThe pseudocode determining the contents of the output is shown below-\n\n`for(int i=0; i) and produces one output data\n(Tensor) where the reciprocal is, y = 1/x, is applied to\nthe tensor elementwise.\n" +----f +input: "data" +output: "reduced" +name: "ReduceL1" +op_type: "ReduceL1" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the L1 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceL2" +op_type: "ReduceL2" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the L2 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceLogSum" +op_type: "ReduceLogSum" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the log sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceLogSumExp" +op_type: "ReduceLogSumExp" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the log sum exponent of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceMax" +op_type: "ReduceMax" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "int8" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the max of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceMean" +op_type: "ReduceMean" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the mean of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceMin" +op_type: "ReduceMin" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "int8" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the min of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceProd" +op_type: "ReduceProd" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the product of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceSum" +op_type: "ReduceSum" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceSumSquare" +op_type: "ReduceSumSquare" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the sum square of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "X" +output: "Y" +name: "Relu" +op_type: "Relu" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = max(0, x), is applied to\nthe tensor elementwise.\n" +----f +input: "data" +input: "shape" +output: "reshaped" +name: "Reshape" +op_type: "Reshape" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "shape-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nReshape the input tensor similar to numpy.reshape.\nFirst input is the data tensor, second input is a shape tensor which specifies the output shape. It outputs the reshaped tensor.\nAt most one dimension of the new shape can be -1. In this case, the value is\ninferred from the size of the tensor and the remaining dimensions. A dimension\ncould also be 0, in which case the actual dimension value is unchanged (i.e. taken\nfrom the input tensor)." +----f +input: "X" +input: "roi" +input: "scales" +input: "sizes" +output: "Y" +name: "Resize" +op_type: "Resize" +attribute { + name: "coordinate_transformation_mode" + s: "half_pixel" + type: STRING +} +attribute { + name: "cubic_coeff_a" + f: -0.75 + type: FLOAT +} +attribute { + name: "exclude_outside" + i: 0 + type: INT +} +attribute { + name: "extrapolation_value" + f: 0.0 + type: FLOAT +} +attribute { + name: "mode" + s: "nearest" + type: STRING +} +attribute { + name: "nearest_mode" + s: "round_prefer_floor" + type: STRING +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "roi-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "scales-types" + strings: "float" + type: STRINGS +} +attribute { + name: "sizes-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nResize the input tensor. In general, it calculates every value in the output tensor as a weighted average of neighborhood (a.k.a. sampling locations) in the input tensor.\nEach dimension value of the output tensor is:\n output_dimension = floor(input_dimension * (roi_end - roi_start) * scale) if input \\\"sizes\\\" is not specified.\n" +----f +input: "input" +input: "sequence_lens" +output: "Y" +name: "ReverseSequence" +op_type: "ReverseSequence" +attribute { + name: "batch_axis" + i: 1 + type: INT +} +attribute { + name: "time_axis" + i: 0 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nReverse batch of sequences having different lengths specified by `sequence_lens`.\n\nFor each slice i iterating on batch axis, the operator reverses the first sequence_lens[i] elements on time axis,\nand copies elements whose index\'s beyond sequence_lens[i] to the output. So the output slice i contains reversed\nsequences on the first sequence_lens[i] elements, then have original values copied for the other elements.\n\nExample 1:\n input = [[0.0, 4.0, 8.0, 12.0],\n [1.0, 5.0, 9.0, 13.0],\n [2.0, 6.0, 10.0, 14.0],\n [3.0, 7.0, 11.0, 15.0]]\n sequence_lens = [4, 3, 2, 1]\n time_axis = 0\n batch_axis = 1\n\n output = [[3.0, 6.0, 9.0, 12.0],\n [2.0, 5.0, 8.0, 13.0],\n [1.0, 4.0, 10.0, 14.0],\n [0.0, 7.0, 11.0, 15.0]]\n\nExample 2:\n input = [[0.0, 1.0, 2.0, 3.0 ],\n [4.0, 5.0, 6.0, 7.0 ],\n [8.0, 9.0, 10.0, 11.0],\n [12.0, 13.0, 14.0, 15.0]]\n sequence_lens = [1, 2, 3, 4]\n time_axis = 1\n batch_axis = 0\n\n output = [[0.0, 1.0, 2.0, 3.0 ],\n [5.0, 4.0, 6.0, 7.0 ],\n [10.0, 9.0, 8.0, 11.0],\n [15.0, 14.0, 13.0, 12.0]]\n" +----f +input: "X" +input: "rois" +input: "batch_indices" +output: "Y" +name: "RoiAlign" +op_type: "RoiAlign" +attribute { + name: "mode" + s: "avg" + type: STRING +} +attribute { + name: "output_height" + i: 1 + type: INT +} +attribute { + name: "output_width" + i: 1 + type: INT +} +attribute { + name: "sampling_ratio" + i: 0 + type: INT +} +attribute { + name: "spatial_scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "rois-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "batch_indices-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nRegion of Interest (RoI) align operation described in the\n[Mask R-CNN paper](https://arxiv.org/abs/1703.06870).\nRoiAlign consumes an input tensor X and region of interests (rois)\nto apply pooling across each RoI; it produces a 4-D tensor of shape\n(num_rois, C, output_height, output_width).\n\nRoiAlign is proposed to avoid the misalignment by removing\nquantizations while converting from original image into feature\nmap and from feature map into RoI feature; in each ROI bin,\nthe value of the sampled locations are computed directly\nthrough bilinear interpolation.\n" +----f +input: "X" +output: "Y" +name: "Round" +op_type: "Round" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nRound takes one input Tensor and rounds the values, element-wise, meaning\nit finds the nearest integer for each value.\nIn case of halfs, the rule is to round them to the nearest even integer.\nThe output tensor has the same shape and type as the input.\n\nExamples:\n```\nround([0.9]) = [1.0]\nround([2.5]) = [2.0]\nround([2.3]) = [2.0]\nround([1.5]) = [2.0]\nround([-4.5]) = [-4.0]\n```\n" +----f +input: "X" +output: "Y" +output: "Z" +name: "SVMClassifier" +op_type: "SVMClassifier" +attribute { + name: "classlabels_ints" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "kernel_params" + s: "" + type: FLOATS +} +attribute { + name: "kernel_type" + s: "LINEAR" + type: STRING +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "prob_a" + s: "" + type: FLOATS +} +attribute { + name: "prob_b" + s: "" + type: FLOATS +} +attribute { + name: "rho" + s: "" + type: FLOATS +} +attribute { + name: "support_vectors" + s: "" + type: FLOATS +} +attribute { + name: "vectors_per_class" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Support Vector Machine classifier\n" +----f +input: "X" +output: "Y" +name: "SVMRegressor" +op_type: "SVMRegressor" +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "kernel_params" + s: "" + type: FLOATS +} +attribute { + name: "kernel_type" + s: "LINEAR" + type: STRING +} +attribute { + name: "n_supports" + i: 0 + type: INT +} +attribute { + name: "one_class" + i: 0 + type: INT +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "rho" + s: "" + type: FLOATS +} +attribute { + name: "support_vectors" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Support Vector Machine regression prediction and one-class SVM anomaly detection.\n" +----f +input: "X" +output: "Y" +name: "Scaler" +op_type: "Scaler" +attribute { + name: "offset" + s: "" + type: FLOATS +} +attribute { + name: "scale" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Rescale input data, for example to standardize features by removing the mean and scaling to unit variance.\n" +----f +input: "initial_state_and_scan_inputs" +output: "final_state_and_scan_outputs" +name: "Scan" +op_type: "Scan" +attribute { + name: "body" + s: "" + type: GRAPH +} +attribute { + name: "num_scan_inputs" + s: "" + type: INT +} +attribute { + name: "scan_input_axes" + s: "" + type: INTS +} +attribute { + name: "scan_input_directions" + s: "" + type: INTS +} +attribute { + name: "scan_output_axes" + s: "" + type: INTS +} +attribute { + name: "scan_output_directions" + s: "" + type: INTS +} +attribute { + name: "initial_state_and_scan_inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nScan can be used to iterate over one or more scan_input tensors,\nconstructing zero or more scan_output tensors. It combines ideas from general recurrences,\nfunctional programming constructs such as scan, fold, map, and zip and is intended to enable\ngeneralizations of RNN-like constructs for sequence-to-sequence processing.\nOther tensors (referred to as state_variables here) can be used to carry a state\nwhen iterating from one element to another (similar to hidden-state in RNNs, also referred\nto as loop-carried dependences in the context of loops).\nMany common usages involve a single scan_input tensor (where functionality\nsimilar to scan, fold and map can be obtained). When more than one scan_input is used,\na behavior similar to zip is obtained.\n\nThe attribute body must be a graph, specifying the computation to be performed in\nevery iteration. It takes as input the current values of the state_variables and\nthe current iterated element of the scan_inputs. It must return the (updated) values\nof the state_variables and zero or more scan_output_element tensors. The values of the\nscan_output_element tensors are concatenated over all the iterations to produce the\nscan_output values of the scan construct (similar to the concatenated intermediate\nhidden-state values of RNN-like constructs). All the output tensors (state_variables as\nwell as scan_output_element tensors) are required to have the same shape in each iteration\nof the loop (a restriction imposed to enable efficient memory allocation).\n\nNote that the iterated element passed to the body subgraph does not have a sequence\naxis. It will have a rank one less than the rank of the corresponding scan_input.\n\nThe scan operation returns the final values of the state_variables as well as the\nscan_outputs.\n\nThe optional attribute scan_input_directions specifies the direction (forward or backward)\nfor each scan input. If this attribute is omitted, all sequences are scanned in the forward\ndirection. A bidirectional scan may be performed by specifying the same tensor input twice\nin the scan_inputs, once with a forward direction, and once with a backward direction.\n\nThe scan_output of the operation is produced by concatenating the scan_output_element\nvalues produced by the body in each iteration. The optional attribute scan_output_directions\nspecifies the direction in which scan_output is constructed (by appending or prepending the\nscan_output_element to scan_output in each iteration) for each scan_output. If this attribute\nis omitted, the scan_output_element is appended to the scan_output in each iteration.\n\nThe optional attribute scan_input_axes specifies the axis to be scanned for each scan_input.\nIf omitted, every scan_input will be scanned in axis 0. For example, if axis 0 is the\nbatch axis and axis 1 is the time axis (to be scanned), specify an axis value of 1.\nNote that scanning a non-zero axis may be less efficient than scanning axis zero.\n\nThe optional attribute scan_output_axes specifies the axis along which the scan_outputs\nare accumulated for each scan_output. For example, if axis 1 is the time axis (to be\nscanned) for both inputs and outputs, specify a scan_input axis and scan_output axis\nvalue of 1.\n\nNote that because of the ONNX restriction that only the last parameter of an operator can\nbe variadic, the initial-states and scan-inputs are listed together as one input parameter.\nSimilarly, the final-states and scan-outputs are listed together as one output parameter.\nThe attribute num_scan_inputs indicates the number M of scan-inputs.\n\nThe behavior of\n\n Scan <\n num_scan_inputs = m,\n body = loop-body,\n scan_input_axes = [axis_1, ..., axis_m]\n > (init_1, ..., init_n, scan_1, ..., scan_m)\n\nis equivalent to the following pseudo-code:\n\n // scan_i.shape[axis_i] denotes the (max) sequence-length of scan_i\n // scan_i.shape[axis_i] is required to be equal to scan_j.shape[axis_j] for all i,j.\n sequence_length = scan_1.shape[axis_1];\n\n // initialize state-variables\n st_1 = init_1; ... st_n = init_n;\n // initialize scan-output variables: [] denotes an empty tensor\n scan_out_1 = []; ...; scan_out_k = [];\n // identify number of iterations:\n\n // execute loop\n for (int t = 0; t < sequence_length; ++t) {\n // generate the scan-input elements: the notation T[t] indicates the sub-tensor\n // of rank one less than T obtained by indexing T at position t along axis k.\n si_1 = scan_1[t];\n ... ;\n si_m = scan_m[t];\n // execute loop-body\n st_1, ..., st_n, so_1, ..., so_k = loop-body(st_1, ..., st_n, si_1, ..., si_m)\n // accumulate the scan-output elements\n scan_out_1 = Concat(scan_out_1, so_1); ... ; scan_out_k = Concat(scan_out_k, so_k);\n }\n\n return st_1, ..., st_n, scan_out_1, ..., scan_out_k;\n\n*Sample usage: Encoding RNN using a Scan*\n\nThe following example shows how a simple RNN over an input tensor %X, with weight tensor %Wi,\nrecurrence weight tensor %Ri, bias tensors %Wbi and %Rbi, and initial hidden-state %H_0 can\nbe encoded as a ScanLoop. Note that the loop-body is a nested graph, and it directly computes\n%Wi, %Ri, %Wbi, and %Rbi (typically constants or initializers in the body graph). If these\nvalues are computed in the outer graph, they need to be passed in as extra state_variables.\n\n graph rnn-encoding {\n %H_0 = ... \n %X = ...\n %Y_h, %Y = Scan[body = , num_scan_inputs=1](%H_0, %X)\n return %Y, %Y_h\n }\n\n graph rnn-cell-1 (\n %H_tminus1[FLOAT, tensor]\n %X_t[FLOAT, tensor]\n ) {\n %Wi = ...\n %Ri = ...\n %Wbi = ...\n %Rbi = ...\n %t1 = X_t * (Wi^T)\n %t2 = H_tminus1*(Ri^T)\n %t3 = Add(%t1, %t2)\n %t4 = Add(%t3, %Wbi)\n %t5 = Add(%t4, %Rbi)\n %Ht = Tanh(%t5)\n %Accumulate = Identity(%Ht)\n return %Ht, %Accumulate\n }\n\n" +----f +input: "data" +input: "indices" +input: "updates" +output: "output" +name: "Scatter" +op_type: "Scatter" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "updates-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nThis operator is deprecated. Please use ScatterElements, which provides the same functionality.\n\nScatter takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n output[indices[i][j]][j] = updates[i][j] if axis = 0, \n output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n data = [\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n ]\n indices = [\n [1, 0, 2],\n [0, 2, 1],\n ]\n updates = [\n [1.0, 1.1, 1.2],\n [2.0, 2.1, 2.2],\n ]\n output = [\n [2.0, 1.1, 0.0]\n [1.0, 0.0, 2.2]\n [0.0, 2.1, 1.2]\n ]\n```\nExample 2:\n```\n data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n indices = [[1, 3]]\n updates = [[1.1, 2.1]]\n axis = 1\n output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n" +----f +input: "data" +input: "indices" +input: "updates" +output: "output" +name: "ScatterElements" +op_type: "ScatterElements" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "updates-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nScatterElements takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n output[indices[i][j]][j] = updates[i][j] if axis = 0, \n output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n data = [\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n ]\n indices = [\n [1, 0, 2],\n [0, 2, 1],\n ]\n updates = [\n [1.0, 1.1, 1.2],\n [2.0, 2.1, 2.2],\n ]\n output = [\n [2.0, 1.1, 0.0]\n [1.0, 0.0, 2.2]\n [0.0, 2.1, 1.2]\n ]\n```\nExample 2:\n```\n data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n indices = [[1, 3]]\n updates = [[1.1, 2.1]]\n axis = 1\n output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n" +----f +input: "data" +input: "indices" +input: "updates" +output: "output" +name: "ScatterND" +op_type: "ScatterND" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "updates-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nScatterND takes three inputs `data` tensor of rank r >= 1, `indices` tensor of rank q >= 1,\nand `updates` tensor of rank q + r - indices.shape[-1] - 1. The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value to values\nspecified by `updates` at specific index positions specified by `indices`. Its output shape\nis the same as the shape of `data`. Note that `indices` should not have duplicate entries.\nThat is, two or more `updates` for the same index-location is not supported.\n\n`indices` is an integer tensor. Let k denote indices.shape[-1], the last dimension in the shape of `indices`.\n `indices` is treated as a (q-1)-dimensional tensor of k-tuples, where each k-tuple is a partial-index into `data`.\nHence, k can be a value at most the rank of `data`. When k equals rank(data), each update entry specifies an\nupdate to a single element of the tensor. When k is less than rank(data) each update entry specifies an\nupdate to a slice of the tensor.\n\n`updates` is treated as a (q-1)-dimensional tensor of replacement-slice-values. Thus, the\nfirst (q-1) dimensions of updates.shape must match the first (q-1) dimensions of indices.shape.\nThe remaining dimensions of `updates` correspond to the dimensions of the\nreplacement-slice-values. Each replacement-slice-value is a (r-k) dimensional tensor,\ncorresponding to the trailing (r-k) dimensions of `data`. Thus, the shape of `updates`\nmust equal indices.shape[0:q-1] ++ data.shape[k:r-1], where ++ denotes the concatenation\nof shapes.\n\nThe `output` is calculated via the following equation:\n\n output = np.copy(data)\n update_indices = indices.shape[:-1]\n for idx in np.ndindex(update_indices):\n output[indices[idx]] = updates[idx]\n\nThe order of iteration in the above loop is not specified.\nIn particular, indices should not have duplicate entries: that is, if idx1 != idx2, then indices[idx1] != indices[idx2].\nThis ensures that the output value does not depend on the iteration order.\n\nThis operator is the inverse of GatherND.\n\nExample 1:\n```\n data = [1, 2, 3, 4, 5, 6, 7, 8]\n indices = [[4], [3], [1], [7]]\n updates = [9, 10, 11, 12]\n output = [1, 11, 3, 10, 9, 6, 7, 12]\n```\n\nExample 2:\n```\n data = [[[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]],\n [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n indices = [[0], [2]]\n updates = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]]]\n output = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]],\n [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n```\n" +----f +input: "X" +output: "Y" +name: "Selu" +op_type: "Selu" +attribute { + name: "alpha" + f: 1.6732632 + type: FLOAT +} +attribute { + name: "gamma" + f: 1.050701 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSelu takes one input data (Tensor) and produces one output data\n(Tensor) where the scaled exponential linear unit function,\n`y = gamma * (alpha * e^x - alpha) for x <= 0`, `y = gamma * x for x > 0`,\nis applied to the tensor elementwise.\n" +----f +input: "input_sequence" +input: "position" +output: "tensor" +name: "SequenceAt" +op_type: "SequenceAt" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +attribute { + name: "position-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nOutputs a tensor copy from the tensor at \'position\' in \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n" +----f +input: "inputs" +output: "output_sequence" +name: "SequenceConstruct" +op_type: "SequenceConstruct" +attribute { + name: "inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nConstruct a tensor sequence containing \'inputs\' tensors.\nAll tensors in \'inputs\' must have the same data type.\n" +----f +output: "output" +name: "SequenceEmpty" +op_type: "SequenceEmpty" +attribute { + name: "dtype" + s: "" + type: INT +} +doc_string: "\nConstruct an empty tensor sequence, with given data type.\n" +----f +input: "input_sequence" +input: "position" +output: "output_sequence" +name: "SequenceErase" +op_type: "SequenceErase" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +attribute { + name: "position-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nOutputs a tensor sequence that removes the tensor at \'position\' from \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it erases the last tensor from \'input_sequence\'.\n" +----f +input: "input_sequence" +input: "tensor" +input: "position" +output: "output_sequence" +name: "SequenceInsert" +op_type: "SequenceInsert" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +attribute { + name: "tensor-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "position-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nOutputs a tensor sequence that inserts \'tensor\' into \'input_sequence\' at \'position\'.\n\'tensor\' must have the same data type as \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it inserts \'tensor\' to the back of \'input_sequence\'.\n" +----f +input: "input_sequence" +output: "length" +name: "SequenceLength" +op_type: "SequenceLength" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +doc_string: "\nProduces a scalar(tensor of empty shape) containing the number of tensors in \'input_sequence\'.\n" +----f +input: "data" +output: "shape" +name: "Shape" +op_type: "Shape" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nTakes a tensor as input and outputs an 1D int64 tensor containing the shape of the input tensor.\n" +----f +input: "input" +output: "output" +name: "Shrink" +op_type: "Shrink" +attribute { + name: "bias" + f: 0.0 + type: FLOAT +} +attribute { + name: "lambd" + f: 0.5 + type: FLOAT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nShrink takes one input data (Tensor) and produces one Tensor output,\nhaving same datatype and shape with input. It has two attributes, lambd and\nbias. The formula of this operator is: If x < -lambd, y = x + bias;\nIf x > lambd, y = x - bias; Otherwise, y = 0.\n" +----f +input: "X" +output: "Y" +name: "Sigmoid" +op_type: "Sigmoid" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the sigmoid function, y = 1 / (1 + exp(-x)), is applied to the\ntensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Sign" +op_type: "Sign" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nCalculate the sign of the given input tensor element-wise.\nIf input > 0, output 1. if input < 0, output -1. if input == 0, output 0.\n" +----f +input: "input" +output: "output" +name: "Sin" +op_type: "Sin" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the sine of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Sinh" +op_type: "Sinh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic sine of the given input tensor element-wise.\n" +----f +input: "data" +output: "size" +name: "Size" +op_type: "Size" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nTakes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.\n" +----f +input: "data" +input: "starts" +input: "ends" +input: "axes" +input: "steps" +output: "output" +name: "Slice" +op_type: "Slice" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "starts-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "ends-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "axes-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "steps-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nProduces a slice of the input tensor along multiple axes. Similar to numpy:\nhttps://docs.scipy.org/doc/numpy/reference/arrays.indexing.html\nSlices uses `starts`, `ends`, `axes` and `steps` inputs to specify the start and end\ndimension and step for each axis in the list of axes, it uses this information to\nslice the input `data` tensor. If a negative value is passed for any of the\nstart or end indices, it represents number of elements before the end of that\ndimension. If the value passed to start or end is larger than the `n` (the\nnumber of elements in this dimension), it represents `n`. For slicing to the\nend of a dimension with unknown size, it is recommended to pass in `INT_MAX` \nwhen sclicing forward and \'INT_MIN\' when slicing backward.\nIf a negative value is passed for step, it represents slicing backward. \nHowever step value cannot be 0.\nIf `axes` are omitted, they are set to `[0, ..., ndim-1]`.\nIf `steps` are omitted, they are set to `[1, ..., 1]` of length `len(starts)`\nExample 1:\n data = [\n [1, 2, 3, 4],\n [5, 6, 7, 8],\n ]\n axes = [0, 1]\n starts = [1, 0]\n ends = [2, 3]\n steps = [1, 2]\n result = [\n [5, 7],\n ]\nExample 2:\n data = [\n [1, 2, 3, 4],\n [5, 6, 7, 8],\n ]\n starts = [0, 1]\n ends = [-1, 1000]\n result = [\n [2, 3, 4],\n ]\n" +----f +input: "input" +output: "output" +name: "Softmax" +op_type: "Softmax" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe operator computes the softmax (normalized exponential) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the softmax values of the corresponding input.\n" +----f +input: "scores" +input: "labels" +input: "weights" +output: "output" +output: "log_prob" +name: "SoftmaxCrossEntropyLoss" +op_type: "SoftmaxCrossEntropyLoss" +attribute { + name: "ignore_index" + s: "" + type: INT +} +attribute { + name: "reduction" + s: "mean" + type: STRING +} +attribute { + name: "scores-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "labels-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "weights-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "Loss function that measures the softmax cross entropy\nbetween \'scores\' and \'labels\'.\nThis operator first computes a loss tensor whose shape is identical to the labels input.\nIf the input is 2-D with shape (N, C), the loss tensor may be a N-element vector L = (l_1, l_2, ..., l_N).\nIf the input is N-D tensor with shape (N, C, D1, D2, ..., Dk),\nthe loss tensor L may have (N, D1, D2, ..., Dk) as its shape and L[i,][j_1][j_2]...[j_k] denotes a scalar element in L.\nAfter L is available, this operator can optionally do a reduction operator.\n\nshape(scores): (N, C) where C is the number of classes, or (N, C, D1, D2,..., Dk),\n with K >= 1 in case of K-dimensional loss.\nshape(labels): (N) where each value is 0 <= labels[i] <= C-1, or (N, D1, D2,..., Dk),\n with K >= 1 in case of K-dimensional loss.\n\nThe loss for one sample, l_i, can caculated as follows:\n l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk], where i is the index of classes.\nor\n l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk] * weights[c], if \'weights\' is provided.\n\nloss is zero for the case when label-value equals ignore_index.\n l[i][d1][d2]...[dk] = 0, when labels[n][d1][d2]...[dk] = ignore_index\n\nwhere:\n p = Softmax(scores)\n y = Log(p)\n c = labels[i][d1][d2]...[dk]\n\nFinally, L is optionally reduced:\nIf reduction = \'none\', the output is L with shape (N, D1, D2, ..., Dk).\nIf reduction = \'sum\', the output is scalar: Sum(L).\nIf reduction = \'mean\', the output is scalar: ReduceMean(L), or if weight is provided: ReduceSum(L) / ReduceSum(W),\nwhere tensor W is of shape (N, D1, D2, ..., Dk) and W[n][d1][d2]...[dk] = weights[labels[i][d1][d2]...[dk]].\n" +----f +input: "X" +output: "Y" +name: "Softplus" +op_type: "Softplus" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSoftplus takes one input data (Tensor) and produces one output data\n(Tensor) where the softplus function, y = ln(exp(x) + 1), is applied to\nthe tensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Softsign" +op_type: "Softsign" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the softsign (x/(1+|x|)) of the given input tensor element-wise.\n" +----f +input: "input" +output: "output" +name: "SpaceToDepth" +op_type: "SpaceToDepth" +attribute { + name: "blocksize" + s: "" + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "SpaceToDepth rearranges blocks of spatial data into depth. More specifically,\nthis op outputs a copy of the input tensor where values from the height and width dimensions\nare moved to the depth dimension.\n" +----f +input: "input" +output: "outputs" +name: "Split" +op_type: "Split" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "split" + s: "" + type: INTS +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "Split a tensor into a list of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\nOtherwise, the tensor is split to equal sized parts.\n" +----f +input: "input" +input: "split" +output: "output_sequence" +name: "SplitToSequence" +op_type: "SplitToSequence" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "split-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "Split a tensor into a sequence of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\n\'split\' must contain only positive numbers.\n\'split\' is either a scalar (tensor of empty shape), or a 1-D tensor.\nIf \'split\' is a scalar, then \'input\' will be split into equally sized chunks(if possible).\nLast chunk will be smaller if the \'input\' size along the given axis \'axis\' is not divisible\nby \'split\'.\nOtherwise, the tensor is split into \'size(split)\' chunks, with lengths of the parts on \'axis\'\nspecified in \'split\'. In this scenario, the sum of entries in \'split\' must be equal to the\ndimension size of input tensor on \'axis\'.\n" +----f +input: "X" +output: "Y" +name: "Sqrt" +op_type: "Sqrt" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSquare root takes one input data (Tensor) and produces one output data\n(Tensor) where the square root is, y = x^0.5, is applied to\nthe tensor elementwise. If x is negative, then it will return NaN.\n" +----f +input: "data" +output: "squeezed" +name: "Squeeze" +op_type: "Squeeze" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nRemove single-dimensional entries from the shape of a tensor.\nTakes a parameter `axes` with a list of axes to squeeze.\nIf `axes` is not provided, all the single dimensions will be removed from\nthe shape. If an axis is selected with shape entry not equal to one, an error is raised.\n" +----f +input: "X" +output: "Y" +name: "StringNormalizer" +op_type: "StringNormalizer" +attribute { + name: "case_change_action" + s: "NONE" + type: STRING +} +attribute { + name: "is_case_sensitive" + i: 0 + type: INT +} +attribute { + name: "locale" + s: "" + type: STRING +} +attribute { + name: "stopwords" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "string" + type: STRINGS +} +doc_string: "\nStringNormalization performs string operations for basic cleaning.\nThis operator has only one input (denoted by X) and only one output\n(denoted by Y). This operator first examines the elements in the X,\nand removes elements specified in \"stopwords\" attribute.\nAfter removing stop words, the intermediate result can be further lowercased,\nuppercased, or just returned depending the \"case_change_action\" attribute.\nThis operator only accepts [C]- and [1, C]-tensor.\nIf all elements in X are dropped, the output will be the empty value of string tensor with shape [1]\nif input shape is [C] and shape [1, 1] if input shape is [1, C].\n" +----f +input: "A" +input: "B" +output: "C" +name: "Sub" +op_type: "Sub" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary subtraction (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "data_0" +output: "sum" +name: "Sum" +op_type: "Sum" +attribute { + name: "data_0-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nElement-wise sum of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "input" +output: "output" +name: "Tan" +op_type: "Tan" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the tangent of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Tanh" +op_type: "Tanh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic tangent of the given input tensor element-wise.\n" +----f +input: "X" +output: "Y" +name: "TfIdfVectorizer" +op_type: "TfIdfVectorizer" +attribute { + name: "max_gram_length" + s: "" + type: INT +} +attribute { + name: "max_skip_count" + s: "" + type: INT +} +attribute { + name: "min_gram_length" + s: "" + type: INT +} +attribute { + name: "mode" + s: "" + type: STRING +} +attribute { + name: "ngram_counts" + s: "" + type: INTS +} +attribute { + name: "ngram_indexes" + s: "" + type: INTS +} +attribute { + name: "pool_int64s" + s: "" + type: INTS +} +attribute { + name: "pool_strings" + s: "" + type: STRINGS +} +attribute { + name: "weights" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "string" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nThis transform extracts n-grams from the input sequence and save them as a vector. Input can\nbe either a 1-D or 2-D tensor. For 1-D input, output is the n-gram representation of that input.\nFor 2-D input, the output is also a 2-D tensor whose i-th row is the n-gram representation of the i-th input row.\nMore specifically, if input shape is [C], the corresponding output shape would be [max(ngram_indexes) + 1].\nIf input shape is [N, C], this operator produces a [N, max(ngram_indexes) + 1]-tensor.\n\nIn contrast to standard n-gram extraction, here, the indexes of extracting an n-gram from the original\nsequence are not necessarily consecutive numbers. The discontinuity between indexes are controlled by the number of skips.\nIf the number of skips is 2, we should skip two tokens when scanning through the original sequence.\nLet\'s consider an example. Assume that input sequence is [94, 17, 36, 12, 28] and the number of skips is 2.\nThe associated 2-grams are [94, 12] and [17, 28] respectively indexed by [0, 3] and [1, 4].\nIf the number of skips becomes 0, the 2-grams generated are [94, 17], [17, 36], [36, 12], [12, 28]\nindexed by [0, 1], [1, 2], [2, 3], [3, 4], respectively.\n\nThe output vector (denoted by Y) stores the count of each n-gram;\nY[ngram_indexes[i]] indicates the times that the i-th n-gram is found. The attribute ngram_indexes is used to determine the mapping\nbetween index i and the corresponding n-gram\'s output coordinate. If pool_int64s is [94, 17, 17, 36], ngram_indexes is [1, 0],\nngram_counts=[0, 0], then the Y[0] (first element in Y) and Y[1] (second element in Y) are the counts of [17, 36] and [94, 17],\nrespectively. An n-gram which cannot be found in pool_strings/pool_int64s should be ignored and has no effect on the output.\nNote that we may consider all skips up to S when generating the n-grams.\n\nThe examples used above are true if mode is \"TF\". If mode is \"IDF\", all the counts larger than 1 would be truncated to 1 and\nthe i-th element in weights would be used to scale (by multiplication) the count of the i-th n-gram in pool. If mode is \"TFIDF\",\nthis operator first computes the counts of all n-grams and then scale them by the associated values in the weights attribute.\n\nOnly one of pool_strings and pool_int64s can be set. If pool_int64s is set, the input should be an integer tensor.\nIf pool_strings is set, the input must be a string tensor.\n" +----f +input: "X" +output: "Y" +name: "ThresholdedRelu" +op_type: "ThresholdedRelu" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThresholdedRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = x for x > alpha, y = 0 otherwise,\nis applied to the tensor elementwise.\n" +----f +input: "input" +input: "repeats" +output: "output" +name: "Tile" +op_type: "Tile" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "repeats-types" + strings: "int64" + type: STRINGS +} +doc_string: "Constructs a tensor by tiling a given tensor.\nThis is the same as function `tile` in Numpy, but no broadcast.\nFor example A = [[1, 2], [3, 4]], B = [1, 2], tile(A, B) = [[1, 2, 1, 2], [3, 4, 3, 4]]\n" +----f +input: "X" +input: "K" +output: "Values" +output: "Indices" +name: "TopK" +op_type: "TopK" +attribute { + name: "axis" + i: -1 + type: INT +} +attribute { + name: "largest" + i: 1 + type: INT +} +attribute { + name: "sorted" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "K-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nRetrieve the top-K largest or smallest elements along a specified axis. Given an input tensor of\nshape [a_1, a_2, ..., a_n, r] and integer argument k, return two outputs:\n -Value tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n]\n which contains the values of the top k elements along the specified axis\n -Index tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n] which\n contains the indices of the top k elements (original indices from the input\n tensor).\n\nIf \"largest\" is 1 (the default value) then the k largest elements are returned.\nIf \"sorted\" is 1 (the default value) then the resulting k elements will be sorted.\nIf \"sorted\" is 0, order of returned \'Values\' and \'Indices\' are undefined.\n\nGiven two equivalent values, this operator uses the indices along the axis as\n a tiebreaker. That is, the element with the lower index will appear first.\n" +----f +input: "data" +output: "transposed" +name: "Transpose" +op_type: "Transpose" +attribute { + name: "perm" + s: "" + type: INTS +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nTranspose the input tensor similar to numpy.transpose. For example, when\nperm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape\nwill be (2, 1, 3).\n" +----f +input: "X" +output: "Y" +output: "Z" +name: "TreeEnsembleClassifier" +op_type: "TreeEnsembleClassifier" +attribute { + name: "base_values" + s: "" + type: FLOATS +} +attribute { + name: "class_ids" + s: "" + type: INTS +} +attribute { + name: "class_nodeids" + s: "" + type: INTS +} +attribute { + name: "class_treeids" + s: "" + type: INTS +} +attribute { + name: "class_weights" + s: "" + type: FLOATS +} +attribute { + name: "classlabels_int64s" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "nodes_falsenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_featureids" + s: "" + type: INTS +} +attribute { + name: "nodes_hitrates" + s: "" + type: FLOATS +} +attribute { + name: "nodes_missing_value_tracks_true" + s: "" + type: INTS +} +attribute { + name: "nodes_modes" + s: "" + type: STRINGS +} +attribute { + name: "nodes_nodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_treeids" + s: "" + type: INTS +} +attribute { + name: "nodes_truenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_values" + s: "" + type: FLOATS +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Tree Ensemble classifier. Returns the top class for each of N inputs.
\n The attributes named \'nodes_X\' form a sequence of tuples, associated by \n index into the sequences, which must all be of equal length. These tuples\n define the nodes.
\n Similarly, all fields prefixed with \'class_\' are tuples of votes at the leaves.\n A leaf may have multiple votes, where each vote is weighted by\n the associated class_weights index.
\n One and only one of classlabels_strings or classlabels_int64s\n will be defined. The class_ids are indices into this list.\n" +----f +input: "X" +output: "Y" +name: "TreeEnsembleRegressor" +op_type: "TreeEnsembleRegressor" +attribute { + name: "aggregate_function" + s: "SUM" + type: STRING +} +attribute { + name: "base_values" + s: "" + type: FLOATS +} +attribute { + name: "n_targets" + s: "" + type: INT +} +attribute { + name: "nodes_falsenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_featureids" + s: "" + type: INTS +} +attribute { + name: "nodes_hitrates" + s: "" + type: FLOATS +} +attribute { + name: "nodes_missing_value_tracks_true" + s: "" + type: INTS +} +attribute { + name: "nodes_modes" + s: "" + type: STRINGS +} +attribute { + name: "nodes_nodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_treeids" + s: "" + type: INTS +} +attribute { + name: "nodes_truenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_values" + s: "" + type: FLOATS +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "target_ids" + s: "" + type: INTS +} +attribute { + name: "target_nodeids" + s: "" + type: INTS +} +attribute { + name: "target_treeids" + s: "" + type: INTS +} +attribute { + name: "target_weights" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Tree Ensemble regressor. Returns the regressed values for each input in N.
\n All args with nodes_ are fields of a tuple of tree nodes, and\n it is assumed they are the same length, and an index i will decode the\n tuple across these inputs. Each node id can appear only once\n for each tree id.
\n All fields prefixed with target_ are tuples of votes at the leaves.
\n A leaf may have multiple votes, where each vote is weighted by\n the associated target_weights index.
\n All trees must have their node ids start at 0 and increment by 1.
\n Mode enum is BRANCH_LEQ, BRANCH_LT, BRANCH_GTE, BRANCH_GT, BRANCH_EQ, BRANCH_NEQ, LEAF\n" +----f +input: "X" +output: "Y" +output: "indices" +output: "inverse_indices" +output: "counts" +name: "Unique" +op_type: "Unique" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "sorted" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nFind the unique elements of a tensor. When an optional attribute \'axis\' is provided, unique subtensors sliced along the \'axis\' are returned. \nOtherwise the input tensor is flattened and unique values of the flattened tensor are returned. \n\nThis operator returns the unique values or sliced unique subtensors of the input tensor and three optional outputs. \nThe first output tensor \'Y\' contains all unique values or subtensors of the input. \nThe second optional output tensor \'indices\' contains indices of \'Y\' elements\' first occurance in \'X\'.. \nThe third optional output tensor \'inverse_indices\' contains, for elements of \'X\', its corresponding indices in \'Y\'. \". \nThe fourth optional output tensor \'counts\' contains the count of each element of \'Y\' in the input. \n\nOutputs are either sorted in ascending order or optionally in the order of the first occurrence of the values in the input. \n\nhttps://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html\n\nExample 1:\n input_X = [2, 1, 1, 3, 4, 3]\n attribute_sorted = 0\n attribute_axis = None\n output_Y = [2, 1, 3, 4]\n output_indices = [0, 1, 3, 4]\n output_inverse_indices = [0, 1, 1, 2, 3, 2]\n output_counts = [1, 2, 2, 1]\n\nExample 2:\n input_X = [[1, 3], [2, 3]]\n attribute_sorted = 1\n attribute_axis = None\n output_Y = [1, 2, 3]\n output_indices = [0, 2, 1]\n output_inverse_indices = [0, 2, 1, 2]\n output_counts = [1, 1, 2]\n\nExample 3:\n input_X = [[1, 0, 0], [1, 0, 0], [2, 3, 4]]\n attribute_sorted = 1\n attribute_axis = 0\n output_Y = [[1, 0, 0], [2, 3, 4]]\n output_indices = [0, 2]\n output_inverse_indices = [0, 0, 1]\n output_counts = [2, 1]\n\nExample 4:\n input_x = [[[1., 1.], [0., 1.], [2., 1.], [0., 1.]], \n [[1., 1.], [0., 1.], [2., 1.], [0., 1.]]]\n attribute_sorted = 1\n attribute_axis = 1\n\n intermediate data are presented below for better understanding: \n \n there are 4 subtensors sliced along axis 1 of input_x (shape = (2, 4, 2)):\n A: [[1, 1], [1, 1]], \n [[0, 1], [0, 1]], \n [[2, 1], [2, 1]], \n [[0, 1], [0, 1]].\n \n there are 3 unique subtensors: \n [[1, 1], [1, 1]], \n [[0, 1], [0, 1]], \n [[2, 1], [2, 1]].\n \n sorted unique subtensors:\n B: [[0, 1], [0, 1]], \n [[1, 1], [1, 1]], \n [[2, 1], [2, 1]].\n \n output_Y is constructed from B:\n [[[0. 1.], [1. 1.], [2. 1.]], \n [[0. 1.], [1. 1.], [2. 1.]]]\n\n output_indices is to map from B to A:\n [1, 0, 2]\n \n output_inverse_indices is to map from A to B:\n [1, 0, 2, 0]\n\n output_counts = [2 1 1]\n" +----f +input: "data" +output: "expanded" +name: "Unsqueeze" +op_type: "Unsqueeze" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nInsert single-dimensional entries to the shape of an input tensor (`data`).\nTakes one required argument `axes` - which contains a list of dimension indices and this operator will insert a dimension of value `1` into the corresponding index of the output tensor (`expanded`).\n\nFor example:\n Given an input tensor (`data`) of shape [3, 4, 5], then\n Unsqueeze(data, axes=[0, 4]) outputs a tensor (`expanded`) containing same data as `data` but with shape [1, 3, 4, 5, 1].\n\nThe attribute `axes` should not contain any duplicate entries. It is an error if it contains duplicates.\nThe rank of the output tensor (`output_rank`) is the rank of the input tensor (`data`) plus the number of values in `axes`.\nEach value in `axes` should be within the (inclusive) range [-output_rank , output_rank - 1]. \nThe order of values in `axes` does not matter and can come in any order. \n\n" +----f +input: "X" +input: "scales" +output: "Y" +name: "Upsample" +op_type: "Upsample" +attribute { + name: "mode" + s: "nearest" + type: STRING +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "scales-types" + strings: "float" + type: STRINGS +} +doc_string: "\nUpsample the input tensor.\nEach dimension value of the output tensor is:\n output_dimension = floor(input_dimension * scale).\n" +----f +input: "condition" +input: "X" +input: "Y" +output: "output" +name: "Where" +op_type: "Where" +attribute { + name: "condition-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Return elements, either from X or Y, depending on condition\n (with Numpy-style broadcasting support).\n Where behaves like numpy.where with three parameters:\n https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html\n" +----f +input: "A" +input: "B" +output: "C" +name: "Xor" +op_type: "Xor" +attribute { + name: "A-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "B-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `xor` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Z" +name: "ZipMap" +op_type: "ZipMap" +attribute { + name: "classlabels_int64s" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "float" + type: STRINGS +} +doc_string: "\n Creates a map from the input and the attributes.
\n The values are provided by the input tensor, while the keys are specified by the attributes.\n Must provide keys in either classlabels_strings or classlabels_int64s (but not both).
\n The columns of the tensor correspond one-by-one to the keys specified by the attributes. There must be as many columns as keys.
\n" +----f diff --git a/contrib/codegen-tools/codegen/src/main/resources/tensorflowOpMappings.csv b/contrib/codegen-tools/codegen/src/main/resources/tensorflowOpMappings.csv new file mode 100644 index 000000000..e69de29bb diff --git a/contrib/codegen-tools/codegen/src/test/java/org/nd4j/codegen/dsl/DocsGeneratorTest.java b/contrib/codegen-tools/codegen/src/test/java/org/nd4j/codegen/dsl/DocsGeneratorTest.java new file mode 100644 index 000000000..5d8e12885 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/java/org/nd4j/codegen/dsl/DocsGeneratorTest.java @@ -0,0 +1,47 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl; + +import org.apache.commons.lang3.StringUtils; +import org.junit.jupiter.api.Test; +import org.nd4j.codegen.impl.java.DocsGenerator; + +import static org.junit.jupiter.api.Assertions.assertEquals; + +public class DocsGeneratorTest { + + @Test + public void testJDtoMDAdapter() { + String original = "{@code %INPUT_TYPE% eye = eye(3,2)\n" + + " eye:\n" + + " [ 1, 0]\n" + + " [ 0, 1]\n" + + " [ 0, 0]}"; + String expected = "{ INDArray eye = eye(3,2)\n" + + " eye:\n" + + " [ 1, 0]\n" + + " [ 0, 1]\n" + + " [ 0, 0]}"; + DocsGenerator.JavaDocToMDAdapter adapter = new DocsGenerator.JavaDocToMDAdapter(original); + String out = adapter.filter("@code", StringUtils.EMPTY).filter("%INPUT_TYPE%", "INDArray").toString(); + assertEquals(out, expected); + } +} diff --git a/contrib/codegen-tools/codegen/src/test/java/org/nd4j/codegen/dsl/TestGeneration.java b/contrib/codegen-tools/codegen/src/test/java/org/nd4j/codegen/dsl/TestGeneration.java new file mode 100644 index 000000000..6c0ad1d25 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/java/org/nd4j/codegen/dsl/TestGeneration.java @@ -0,0 +1,67 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl; + +import org.apache.commons.io.FileUtils; +import org.apache.commons.lang3.StringUtils; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.io.TempDir; +import org.nd4j.codegen.api.NamespaceOps; +import org.nd4j.codegen.impl.java.Nd4jNamespaceGenerator; +import org.nd4j.codegen.ops.RNNKt; + +import java.io.File; +import java.nio.charset.StandardCharsets; +import java.util.Arrays; +import java.util.Iterator; +import java.util.List; + +class TestGeneration { + + @SuppressWarnings("unused") + @TempDir + public File testDir; + + @Test + void test() throws Exception { + File f = testDir; + +// List list = Arrays.asList(BitwiseKt.Bitwise(), RandomKt.Random()); + List list = Arrays.asList(RNNKt.SDRNN()); + + for(NamespaceOps ops : list) { + Nd4jNamespaceGenerator.generate(ops, null, f, ops.getName() + ".java", "org.nd4j.linalg.factory", StringUtils.EMPTY); + } + + File[] files = f.listFiles(); + Iterator iter = FileUtils.iterateFiles(f, null, true); + if(files != null) { + while(iter.hasNext()){ + File file = iter.next(); + if(file.isDirectory()) + continue; + System.out.println(FileUtils.readFileToString(file, StandardCharsets.UTF_8)); + System.out.println("\n\n================\n\n"); + } + } + } + +} diff --git a/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/ConfigTest.kt b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/ConfigTest.kt new file mode 100644 index 000000000..8b5b80798 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/ConfigTest.kt @@ -0,0 +1,64 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl + +import org.junit.jupiter.api.Test +import org.nd4j.codegen.api.DataType.FLOATING_POINT +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope + +class ConfigTest { + @Test + fun allGood(){ + Namespace("RNN"){ + val sruWeights = Config("SRUWeights"){ + Input(FLOATING_POINT, "weights"){ description = "Weights, with shape [inSize, 3*inSize]" } + Input(FLOATING_POINT, "bias"){ description = "Biases, with shape [2*inSize]" } + } + + Op("SRU"){ + Input(FLOATING_POINT, "x"){ description = "..." } + Input(FLOATING_POINT, "initialC"){ description = "..." } + Input(FLOATING_POINT, "mask"){ description = "..." } + + useConfig(sruWeights) + + Output(FLOATING_POINT, "out"){ description = "..." } + + Doc(Language.ANY, DocScope.ALL){ "some doc" } + } + + Op("SRUCell"){ + val x = Input(FLOATING_POINT, "x"){ description = "..." } + val cLast = Input(FLOATING_POINT, "cLast"){ description = "..." } + + val conf = useConfig(sruWeights) + + Output(FLOATING_POINT, "out"){ description = "..." } + + // Just for demonstration purposes + Signature(x, cLast, conf) + + Doc(Language.ANY, DocScope.ALL){ "some doc" } + } + } + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/ConstraintTest.kt b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/ConstraintTest.kt new file mode 100644 index 000000000..8660cce8b --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/ConstraintTest.kt @@ -0,0 +1,99 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl + +import org.junit.jupiter.api.Test +import org.nd4j.codegen.api.Arg +import org.nd4j.codegen.api.DataType +import org.nd4j.codegen.api.Expression +import org.nd4j.codegen.api.Input +import org.nd4j.codegen.impl.java.JavaConstraintCodeGenerator +import kotlin.test.assertEquals + + +class ConstraintTest { + + + private fun buildConstraint(block: ConstraintBuilder.() -> Expression): Expression { + return ConstraintBuilder().block() + } + + @Test + fun simpleConstraintTest() { + val expected = "x.rank() == 3" + val input = Input(name = "x", type = DataType.INT) + val constraint = buildConstraint { input.rank() eq 3 } + val out = JavaConstraintCodeGenerator().generateExpression(constraint) + assertEquals(expected, out) + } + + @Test + fun simple2ConstraintTest() { + val expected = "(x.rank() == 3) && (x.sizeAt(2) >= 7)" + val input = Input(name = "x", type = DataType.INT) + val constraint = buildConstraint { (input.rank() eq 3) and (input.sizeAt(2) gte 7) } + val out = JavaConstraintCodeGenerator().generateExpression(constraint) + assertEquals(expected, out) + } + + @Test + fun simple3ConstraintTest() { + val expected = "((x.rank() == 3) || (x.sizeAt(2) >= 7)) || (x.sizeAt(4) < 5)" + val input = Input(name = "x", type = DataType.INT) + val constraint = buildConstraint { some( + input.rank() eq 3, + input.sizeAt(2) gte 7, + input.sizeAt(4) lt 5 + ) } + val out = JavaConstraintCodeGenerator().generateExpression(constraint) + assertEquals(expected, out) + } + + @Test + fun complexConstraintTest() { + val expected = "(x.rank() == 3) == false" + val input = Input(name = "x", type = DataType.INT) + val constraint = buildConstraint { not(input.rank() eq 3) } + val out = JavaConstraintCodeGenerator().generateExpression(constraint) + assertEquals(expected, out) + } + + @Test + fun argConstraintTest() { + val expected = "(x.rank() == rank) == false" + val arg = Arg(name = "rank", type = DataType.NUMERIC) + val input = Input(name = "x", type = DataType.INT) + val constraint = buildConstraint { not(input.rank() eq arg) } + val out = JavaConstraintCodeGenerator().generateExpression(constraint) + assertEquals(expected, out) + } + + @Test + fun specificConstraintTest(){ + val expected = "isSameType(x, y, z)" + val x = Input(name = "x", type = DataType.INT) + val y = Input(name = "y", type = DataType.INT) + val z = Input(name = "z", type = DataType.INT) + val constraint = buildConstraint { sameType(x, y, z) } + val out = JavaConstraintCodeGenerator().generateExpression(constraint) + assertEquals(expected, out) + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/NamespaceInvariantTest.kt b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/NamespaceInvariantTest.kt new file mode 100644 index 000000000..f2eab81f5 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/NamespaceInvariantTest.kt @@ -0,0 +1,41 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl + +import org.junit.jupiter.api.Assertions.assertEquals +import org.junit.jupiter.api.Test +import org.junit.jupiter.api.assertThrows +import org.nd4j.codegen.api.DataType + +class NamespaceInvariantTest { + @Test + fun checkForUnusedConfigs(){ + val thrown = assertThrows { + Namespace("RNN"){ + Config("SRUWeights"){ + Input(DataType.FLOATING_POINT, "weights"){ description = "Weights, with shape [inSize, 3*inSize]" } + Input(DataType.FLOATING_POINT, "bias"){ description = "Biases, with shape [2*inSize]" } + } + } + } + assertEquals("Found unused configs: SRUWeights", thrown.message) + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/OpBuilderTest.kt b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/OpBuilderTest.kt new file mode 100644 index 000000000..ff9776371 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/OpBuilderTest.kt @@ -0,0 +1,171 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl + +import org.apache.commons.io.FileUtils +import org.junit.jupiter.api.Test +import org.nd4j.codegen.api.AtLeast +import org.nd4j.codegen.api.AtMost +import org.nd4j.codegen.api.DataType.* +import org.nd4j.codegen.api.Exactly +import org.nd4j.codegen.api.Language +import org.nd4j.codegen.api.doc.DocScope +import org.nd4j.codegen.impl.java.JavaPoetGenerator +import java.io.File +import java.nio.charset.StandardCharsets +import kotlin.test.assertTrue + +class OpBuilderTest { + private var testDir = createTempDir() + + @Test + fun opBuilderTest() { + val outDir = testDir + + val mathNs = Namespace("math") { + val config = Config("bla"){ + val a = Input(NUMERIC, "a") { description = "This is A!"} + Input(NUMERIC, "c") { count = AtLeast(1); description = "This is C!"} + Input(NUMERIC, "e") { defaultValue = a} + val b = Arg(NUMERIC, "b") { description = "This is B!"} + Arg(NUMERIC, "d") { count = AtMost(7); description = "This is D!"} + Arg(NUMERIC, "f") { defaultValue = 12} + + Constraint("Some constraint"){ + a.isScalar() + } + Constraint("Some different constraint"){ + b eq 7 + } + + Doc(Language.JAVA, DocScope.ALL){ + "This is some config documentation" + } + } + Op("add") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic" + + val x = Input(NUMERIC, "x") { description = "First input to add" } + Input(NUMERIC,"y") { count = AtLeast(1); description = "Second input to add"; defaultValue = x } + Arg(INT,"shape") { count = AtLeast(1); description = "shape"; defaultValue = intArrayOf(1,2,3) } + + + Output(NUMERIC, "z") { description = "Output (x+y)" } + + + Doc(Language.ANY, DocScope.ALL) { + """ + (From AddOp) Add op doc text that will appear everywhere - classes, constructors, op creators + """.trimIndent() + } + Doc(Language.ANY, DocScope.CLASS_DOC_ONLY) { + "Add op doc text that will appear in all class docs (javadoc etc)" + } + Doc(Language.ANY, DocScope.CONSTRUCTORS_ONLY) { + "Add op doc text for constructors only" + } + + } + + val baseArithmeticOp = Mixin("BaseArithmeticOp") { + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic" + + Input(NUMERIC,"x") { count = Exactly(1); description = "First operand to %OPNAME%" } + Input(NUMERIC,"y") { count = Exactly(1); description = "Second operand" } + + + Output(NUMERIC,"z") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + "(From BaseArithmeticOp) op doc text that will appear everywhere - classes, constructors, op creators" + } + Doc(Language.ANY, DocScope.CLASS_DOC_ONLY) { + "op doc text that will appear in all class docs (javadoc etc)" + } + Doc(Language.ANY, DocScope.CONSTRUCTORS_ONLY) { + "op doc text for constructors only" + } + + } + + Op("sub", extends = baseArithmeticOp) + + Op("mul", extends = baseArithmeticOp) + + Op("rsub", extends = baseArithmeticOp) { + isAbstract = false + javaPackage = "org.nd4j.some.other.package" + Doc(Language.ANY, DocScope.CREATORS_ONLY) { + "(From rsub) This doc section will appear only in creator method for %OPNAME%" + } + } + + Op("div"){ + javaPackage = "org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic" + + val x = Input(NUMERIC,"x") { description = "First operand to div" } + val y = Input(NUMERIC,"y") { description = "Second operand to div" } + val idx = Arg(INT, "idx") { description = "Some kind of Index" } + Constraint("Compatible Rank"){ + x.rank() eq idx + } + + Constraint("Compatible Shapes"){ + sameShape(x,y) + } + + + Output(NUMERIC,"z") { description = "Output" } + + Doc(Language.ANY, DocScope.ALL) { + "op doc text that will appear everywhere - classes, constructors, op creators" + } + } + + Op("zfoo"){ + javaPackage = "bar" + javaOpClass = "FooBarOp" + val x = Input(NUMERIC,"x") { description = "First operand to %OPNAME% (%INPUT_TYPE%)" } + val y = Input(NUMERIC,"y") { description = "Second operand to div" } + val z = Arg(ENUM, "fooMode"){ description = "Something or other"; possibleValues = listOf("SOME", "value", "Spam", "eGGs")} + val bla = useConfig(config) + + Constraint("foo bar"){ + x.sizeAt(7) eq 7 and y.isScalar() + } + + Doc(Language.ANY, DocScope.ALL) { + "op doc text that will appear everywhere - classes, constructors, op creators" + } + + Signature(x, y, z, bla) + } + } + + val generator = JavaPoetGenerator() + generator.generateNamespaceNd4j(mathNs, null, outDir, "Nd4jMath") + val exp = File(outDir, "org/nd4j/linalg/factory/ops/Nd4jMath.java") + assertTrue(exp.isFile) + + println(FileUtils.readFileToString(exp, StandardCharsets.UTF_8)) + + } +} \ No newline at end of file diff --git a/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/OpInvariantTest.kt b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/OpInvariantTest.kt new file mode 100644 index 000000000..396871842 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/dsl/OpInvariantTest.kt @@ -0,0 +1,833 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.dsl + +import org.junit.jupiter.api.Assertions.assertSame +import org.junit.jupiter.api.Test +import org.junit.jupiter.api.assertThrows +import org.nd4j.codegen.api.* +import org.nd4j.codegen.api.doc.DocScope +import kotlin.test.assertEquals +import kotlin.test.assertNotSame + + +class OpInvariantTest { + + @Test + fun opMustBeDocumented() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") {} + } + } + assertEquals("foo: Ops must be documented!", thrown.message) + } + + + @Test + fun opMustBeDocumentedAndNotEmpty() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "" } + } + } + } + assertEquals("foo: Ops must be documented!", thrown.message) + } + + @Test + fun opMustBeDocumentedWithDoc() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + } + } + } + + @Test + fun opSignatureMustCoverAllParameters() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val x = Input(DataType.NUMERIC, "x") + val y = Input(DataType.NUMERIC, "y") + + Signature(x) + } + } + } + assertEquals("foo: Signature(x) does not cover all parameters! Missing: y", thrown.message) + } + + @Test + fun opSignatureMustCoverAllParameters2() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.NUMERIC, "y") + + Signature(x) + } + } + } + + assertEquals("foo: Signature(x) does not cover all parameters! Missing: y", thrown.message) + } + + @Test + fun opSignatureMustCoverAllParametersWithoutDefaults() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.NUMERIC, "y") { + defaultValue = 7 + } + + Signature(x) + } + } + } + + @Test + fun opSignatureMustTakeEachParameterOnlyOnce() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.NUMERIC, "y") + + Signature(x, x, x) + } + } + } + + assertEquals("A parameter may not be used twice in a signature!", thrown.message) + } + + @Test + fun opSignatureMustAllowOutputs() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.NUMERIC, "y") { + defaultValue = 7 + } + val out = Output(DataType.NUMERIC, "out") + + Signature(out, x) + } + } + } + + @Test + fun opSignatureMustAllowOutputsOnlyOnce() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.NUMERIC, "y") { + defaultValue = 7 + } + val out = Output(DataType.NUMERIC, "out") + + Signature(out, x, out) + } + } + } + + assertEquals("A parameter may not be used twice in a signature!", thrown.message) + } + + @Test + fun opSignatureDefaultValueMustHaveCorrectShape() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { + defaultValue = x.shape() + } + + Signature(x) + } + } + } + + assertEquals("Illegal default value for Arg(INT, y). Got x.shape() (org.nd4j.codegen.api.TensorShapeValue)", thrown.message) + } + + @Test + fun opSignatureDefaultValue() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { + defaultValue = 2 + } + + Signature(x) + } + } + } + + @Test + fun opSignatureDefaultValueMustHaveCorrectDataType() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { + defaultValue = 1.7 + } + + Signature(x) + } + } + } + + assertEquals("Illegal default value for Arg(INT, y). Got 1.7 (java.lang.Double)", thrown.message) + } + + + @Test + fun opSignatureDefaultInputReference() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val z = Input(DataType.NUMERIC, "z") + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = z.shape() + } + + Signature(x) + } + } + } + + assertEquals("foo: Signature(x) does not cover all parameters! Missing: z, y", thrown.message) + } + + @Test + fun opSignatureDefaultOutputReference() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = out.shape() + } + + Signature(x) + } + } + } + + assertEquals("foo: Signature(x) does not cover all parameters! Missing: y", thrown.message) + } + + @Test + fun opSignatureDefaultWithOutputReference() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = out.shape() + } + + Signature(out, x) + } + } + } + + @Test + fun opSignatureDefaultReferenceChain() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val z = Input(DataType.NUMERIC, "z") + val u = Input(DataType.NUMERIC, "u") { defaultValue = z } + val v = Input(DataType.NUMERIC, "v") { defaultValue = u } + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = v.shape() + } + + Signature(x) + } + } + } + + assertEquals("foo: Signature(x) does not cover all parameters! Missing: z, u, v, y", thrown.message) + } + + @Test + fun opSignatureDefaultReferenceChainWorking() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val z = Input(DataType.NUMERIC, "z") { defaultValue = x } + val u = Input(DataType.NUMERIC, "u") { defaultValue = z } + val v = Input(DataType.NUMERIC, "v") { defaultValue = u } + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = v.shape() + } + + Signature(x) + } + } + } + + @Test + fun opSignatureShorthandAllParams() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val z = Input(DataType.NUMERIC, "z") { defaultValue = x } + val u = Input(DataType.NUMERIC, "u") { defaultValue = z } + val v = Input(DataType.NUMERIC, "v") { defaultValue = u } + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = v.shape() + } + + AllParamSignature() + } + } + + } + + @Test + fun opSignatureNullDefaults() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = null + } + + AllDefaultsSignature() + } + } + } + + @Test + fun opSignatureNullDefaultsForInputs() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") { defaultValue = null } + + AllDefaultsSignature() + } + } + } + + @Test + fun opSignatureShorthandDefaultParams() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val z = Input(DataType.NUMERIC, "z") { defaultValue = x } + val u = Input(DataType.NUMERIC, "u") { defaultValue = z } + val v = Input(DataType.NUMERIC, "v") { defaultValue = u } + val y = Arg(DataType.INT, "y") { + count = AtLeast(1) + defaultValue = v.shape() + } + + AllDefaultsSignature() + } + } + } + + @Test + fun opSignatureSupportsArrayDefaults() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { count = AtLeast(0); defaultValue = intArrayOf() } + val z = Arg(DataType.FLOATING_POINT, "z") { count = Range(2, 5); defaultValue = doubleArrayOf(1.0, 2.0, 3.0) } + val a = Arg(DataType.BOOL, "a") { count = AtLeast(1); defaultValue = booleanArrayOf(true) } + + AllDefaultsSignature() + } + } + } + + @Test + fun opSignatureSupportsArrayDefaultsAtLeast() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "x") + Arg(DataType.INT, "y") { count = AtLeast(1); defaultValue = intArrayOf() } + } + } + } + + assertEquals("Illegal default value for Arg(INT, y){ count = AtLeast(min=1) }. Got [] ([I)", thrown.message) + + } + + @Test + fun opSignatureSupportsArrayDefaultsAtMost() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "x") + Arg(DataType.INT, "y") { count = AtMost(1); defaultValue = intArrayOf(1, 2) } + } + } + } + + assertEquals("Illegal default value for Arg(INT, y){ count = AtMost(max=1) }. Got [1, 2] ([I)", thrown.message) + + } + + @Test + fun opSignatureSupportsArrayDefaultsRange() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "x") + Arg(DataType.INT, "y") { count = Range(3, 7); defaultValue = intArrayOf() } + } + } + } + + assertEquals("Illegal default value for Arg(INT, y){ count = Range(from=3, to=7) }. Got [] ([I)", thrown.message) + } + + @Test + fun opSignatureSupportsArrayDefaultsExactly() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "x") + Arg(DataType.INT, "y") { count = Exactly(7); defaultValue = intArrayOf() } + } + } + } + + assertEquals("Illegal default value for Arg(INT, y){ count = Exactly(count=7) }. Got [] ([I)", thrown.message) + + } + + @Test + fun opSignatureHasExpectedNumberOfSignatures() { + Namespace("math") { + val op = Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { count = AtLeast(0); defaultValue = intArrayOf() } + + AllParamSignature() + AllDefaultsSignature() + } + + assertEquals(2, op.signatures.size) + } + } + + @Test + fun opSignatureHasExpectedNumberOfSignaturesWithOutput() { + Namespace("math") { + val op = Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { count = AtLeast(0); defaultValue = intArrayOf() } + + AllParamSignature(true) + AllDefaultsSignature(true) + } + + assertEquals(4, op.signatures.size) + } + } + + @Test + fun opSignatureHasExpectedNumberOfSignaturesNoDefaults() { + Namespace("math") { + val op = Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { count = AtLeast(0); } + + AllParamSignature() + AllDefaultsSignature() + } + + assertEquals(1, op.signatures.size) + } + } + + @Test + fun opSignatureHasExpectedNumberOfSignaturesWithOutputNoDefaults() { + Namespace("math") { + val op = Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.INT, "y") { count = AtLeast(0); } + + AllParamSignature(true) + AllDefaultsSignature(true) + } + + assertEquals(2, op.signatures.size) + } + } + + @Test + fun argEnum() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.ENUM, "y") { possibleValues = listOf("FOO", "BAR", "BAZ"); description = "Enums require some docs" } + + } + } + } + + @Test + fun argEnumDefaultValue() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.ENUM, "y") { + possibleValues = listOf("FOO", "BAR", "BAZ") + defaultValue = "BAZ" + description = "Enums require some docs" + } + + AllDefaultsSignature() + } + } + } + + @Test + fun argEnumBadDefaultValue() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.ENUM, "y") { + possibleValues = listOf("FOO", "BAR", "BAZ") + defaultValue = "SPAM" + } + + AllDefaultsSignature() + } + } + } + + assertEquals("Illegal default value for Arg(ENUM(FOO, BAR, BAZ), y). Got SPAM (java.lang.String)", thrown.message) + } + + @Test + fun argEnumEmptyPossibleValues() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.ENUM, "y") { + possibleValues = listOf() + } + + } + } + } + + assertEquals("Arg(ENUM(null), y): Can not set empty possibleValues.", thrown.message) + } + + @Test + fun argEnumBadType() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.NUMERIC, "y") { + possibleValues = listOf("FOO", "BAR", "BAZ") + defaultValue = "SPAM" + } + + AllDefaultsSignature() + } + } + } + + assertEquals("Arg(NUMERIC, y): Can not set possibleValues on non ENUM typed Arg.", thrown.message) + } + + @Test + fun argEnumBadCount() { + val thrown = assertThrows { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.ENUM, "y") { + count = AtLeast(1) + possibleValues = listOf("FOO", "BAR", "BAZ") + } + + AllDefaultsSignature() + } + } + } + + assertEquals("Arg(ENUM(null), y): ENUM typed Arg can not be array", thrown.message) + } + + @Test + fun argEnumGoodCount() { + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + val y = Arg(DataType.ENUM, "y") { + count = Exactly(1) + possibleValues = listOf("FOO", "BAR", "BAZ") + description = "Enums require some docs" + } + + AllDefaultsSignature() + } + } + } + + @Test + fun onlyValidParametersAreUsedInSignaturesBadCase() { + val thrown = assertThrows { + val mixin = Mixin("Bar") { + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + Namespace("math") { + Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + + Signature(out, x, mixin.input("a"), mixin.arg("b")) + } + } + } + assertEquals("You can only use parameters in a signature that are actually defined in Op(opName=foo, libnd4jOpName=foo, isAbstract=false)! Did you forget to useMixin(...) a mixin?", thrown.message) + } + + @Test + fun onlyValidParametersAreUsedInSignaturesGoodCase() { + val mixin = Mixin("Bar") { + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + Namespace("math") { + Op("foo", mixin) { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + val out = Output(DataType.NUMERIC, "out") + val x = Input(DataType.NUMERIC, "x") + + Signature(out, x, mixin.input("a"), mixin.arg("b")) + } + } + } + + @Test + fun lastMixinDefinitionWins(){ + val mixin = Mixin("Bar") { + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + Namespace("math") { + val op = Op("foo", mixin) { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "a") { count=Exactly(1)} + } + + assertNotSame(mixin.inputs.find { it.name == "a"}, op.inputs.find { it.name == "a"}) + } + + } + + @Test + fun lastMixinDefinitionWins2(){ + val mixin = Mixin("Bar") { + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + Namespace("math") { + val op = Op("foo") { + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "a") + useMixin(mixin) + } + + assertSame(mixin.inputs.find { it.name == "a"}, op.inputs.find { it.name == "a"}) + } + + } + + @Test + fun mixinDoesOnlyOverwritePropertiesIfSetNoneSetCase(){ + val mixin = Mixin("Bar") { + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + Namespace("math") { + val op = Op("foo") { + javaPackage = "fooPackage" + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "a") + useMixin(mixin) + } + + assertEquals("fooPackage", op.javaPackage) + } + + } + + @Test + fun mixinDoesOnlyOverwritePropertiesIfSetSetCase(){ + val mixin = Mixin("Bar") { + javaPackage = "MixinPackage" + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + Namespace("math") { + val op = Op("foo") { + javaPackage = "fooPackage" + Doc(Language.ANY, DocScope.ALL) { "Some Documentation" } + Output(DataType.NUMERIC, "out") + Input(DataType.NUMERIC, "a") + useMixin(mixin) + } + + assertEquals("MixinPackage", op.javaPackage) + } + + } + + @Test + fun mixinDoesOnlyOverwritePropertiesIfSetNoneSetCaseOnMixins(){ + val mixin = Mixin("Bar") { + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + val op = Mixin("foo") { + javaPackage = "fooPackage" + useMixin(mixin) + } + + assertEquals("fooPackage", op.javaPackage) + + } + + @Test + fun mixinDoesOnlyOverwritePropertiesIfSetSetCaseOnMixins(){ + val mixin = Mixin("Bar") { + javaPackage = "MixinPackage" + Input(DataType.NUMERIC, "a") + Arg(DataType.BOOL, "b") + } + + val op = Mixin("foo") { + javaPackage = "fooPackage" + useMixin(mixin) + } + + assertEquals("MixinPackage", op.javaPackage) + } +} diff --git a/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/ops/ConstructionTest.kt b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/ops/ConstructionTest.kt new file mode 100644 index 000000000..4ab5562c4 --- /dev/null +++ b/contrib/codegen-tools/codegen/src/test/kotlin/org/nd4j/codegen/ops/ConstructionTest.kt @@ -0,0 +1,58 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.codegen.ops + +import org.junit.jupiter.api.Test + +/** + * Test that each Namespace actually constructs properly. + * + * This is allows us to utilize run-time consistency checks during the build process - if tests are enabled. + */ +class ConstructionTest { + + @Test + fun bitwise() { Bitwise() } + + @Test + fun random() { Random() } + + @Test + fun math() { Math() } + + @Test + fun base() { SDBaseOps() } + + @Test + fun loss() { SDLoss() } + + @Test + fun cnn() { SDCNN() } + + @Test + fun rnn() { SDRNN() } + + @Test + fun image() { SDImage() } + + @Test + fun nn() { NN() } +} \ No newline at end of file diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/crf.model b/contrib/codegen-tools/codegen/src/test/resources/lenet.onnx similarity index 56% rename from deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/crf.model rename to contrib/codegen-tools/codegen/src/test/resources/lenet.onnx index ac38a5b93..c858b347d 100644 Binary files a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/crf.model and b/contrib/codegen-tools/codegen/src/test/resources/lenet.onnx differ diff --git a/contrib/codegen-tools/codegen/src/test/resources/lenet_frozen.pb b/contrib/codegen-tools/codegen/src/test/resources/lenet_frozen.pb new file mode 100644 index 000000000..25ad7a7bd Binary files /dev/null and b/contrib/codegen-tools/codegen/src/test/resources/lenet_frozen.pb differ diff --git a/contrib/codegen-tools/libnd4j-gen/README.md b/contrib/codegen-tools/libnd4j-gen/README.md new file mode 100644 index 000000000..47bb43b99 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/README.md @@ -0,0 +1,16 @@ +# Libnd4j Op Descriptor Generator + +This module contains a few files for generating op descriptors for libnd4j. +An op descriptor contains its number of inputs and outputs as well as the names +in the code of those attributes when they are assigned. + +The main class parses a root directory specified by the user containing the libnd4j code base. +In the libnd4j code base, it will scan for op signatures and certain macros found in https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/include/system/op_boilerplate.h + +From that, it will automatically generate a set of op descriptors including counts of types of ops as well as names. +The up to date OpDescriptor class can be found [here](src/main/java/org/nd4j/descriptor/OpDescriptor.java) +The main class can be found [here](src/main/java/org/nd4j/descriptor/ParseGen.java) + + + + diff --git a/contrib/codegen-tools/libnd4j-gen/op-ir.proto b/contrib/codegen-tools/libnd4j-gen/op-ir.proto new file mode 100644 index 000000000..b7ee920f0 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/op-ir.proto @@ -0,0 +1,20765 @@ +opList { + name: "Assert" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "BinaryMinimalRelativeError" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + argDescriptor { + name: "thresholdRelative" + argType: DOUBLE + } + argDescriptor { + name: "thresholdAbsolute" + argType: DOUBLE + argIndex: 1 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "BinaryRelativeError" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + argDescriptor { + name: "threshold" + argType: DOUBLE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "ClipByValue" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "clipValueMin" + argType: DOUBLE + } + argDescriptor { + name: "clipValueMax" + argType: DOUBLE + argIndex: 1 + } +} +opList { + name: "Conditional" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "ExternalErrorsFn" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "Floor" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "Log1p" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "ParallelConcat" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "Pow" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "Pow_bp" + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdy" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdz" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdx" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdy" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "Reciprocal" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "RelativeError" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "Return" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "Scope" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: LOGIC_OP_IMPL +} +opList { + name: "Switch" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + argIndex: 1 + } + opDeclarationType: DIVERGENT_OP_IMPL +} +opList { + name: "Where" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "While" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "isConstant" + argType: BOOL + } + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + } + 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argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "_tanhderivative" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "abs" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "absolute_difference_loss" + argDescriptor { + name: "outputs" + argType: 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opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "all" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "alpha_dropout" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "a" + argType: DOUBLE + } + argDescriptor { + name: "b" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "alphaPrime" + argType: DOUBLE + argIndex: 2 + } + argDescriptor { + name: "beta" + argType: DOUBLE + argIndex: 3 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "alpha_dropout_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + 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argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "amin_pairwise" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "ams_grad_updater" + argDescriptor { + name: "update" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "stateV" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "stateM" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "stateH" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "gradient" + argType: INPUT_TENSOR + } + argDescriptor { + name: "initStateV" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "initStateM" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor 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name: "tarr" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "lr" + argType: DOUBLE + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "applygradientdescent" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "argamax" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "argamin" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "argmax" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "argmin" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "asin" + argDescriptor { + name: "outputs" + argType: 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BROADCASTABLE_BOOL_OP_IMPL +} +opList { + name: "equals_scalar" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "equals_with_eps" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "keepDims" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "eps" + argType: DOUBLE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "erf" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } 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DATA_TYPE + } + argDescriptor { + name: "eps" + argType: DOUBLE + } +} +opList { + name: "pointwise_conv2d" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "bias" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + } + argDescriptor { + name: "wFormat" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "polygamma" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "n" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "pooling3dpool3dnew_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "inputArrays" + argType: INPUT_TENSOR + argIndex: 1 + } +} +opList { + name: "pow" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "pow" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "pow" + argType: DOUBLE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "pow_pairwise" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "precise_gelu" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "precise" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "prelu" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "alpha" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "sharedAxes" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "prelu_bp" + argDescriptor { + name: "dLdI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdA" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "alpha" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdO" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdI" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dLdA" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "sharedAxes" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "print_affinity" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "print_variable" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "printSpecial" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "message" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "probablistic_merge" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "probability" + argType: DOUBLE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "qr" + argDescriptor { + name: "outputQ" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outputR" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "fullMatricies" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_bernoulli" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } + argDescriptor { + name: "f" + argType: DOUBLE + } +} +opList { + name: "random_crop" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "seed" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_exponential" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } + argDescriptor { + name: "lambda" + argType: DOUBLE + } +} +opList { + name: "random_gamma" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "alpha" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "beta" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "seed" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_multinomial" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "inputSamples" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimC" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_normal" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_poisson" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "lambda" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "seed" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "random_shuffle" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "seeds" + argType: INT64 + } + opDeclarationType: OP_IMPL +} +opList { + name: "randomnormal" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "mean" + argType: DOUBLE + } + argDescriptor { + name: "stdev" + argType: DOUBLE + argIndex: 1 + } +} +opList { + name: "randomuniform" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + } + argDescriptor { + name: "min" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "max" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: INT64 + } + argDescriptor { + name: "seed" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + argDescriptor { + name: "min" + argType: DOUBLE + } + argDescriptor { + name: "max" + argType: DOUBLE + argIndex: 1 + } +} +opList { + name: 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name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "restorev2" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "reverse" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "reverse_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "grad" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "eps" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "reverse_sequence" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "seqLengths" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "seqDim" + argType: INT64 + } + argDescriptor { + name: "batchDim" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "reverse_v2" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "isLegacy" + argType: BOOL + } +} +opList { + name: "reversedivide" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "reversedivide_bp" + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "reversemod" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "reversemod_bp" + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + 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{ + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "rgb_to_grs" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "rgb_to_hsv" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "rgb_to_yiq" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "rgb_to_yuv" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + 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OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "rsqrt" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "rsub_scalar" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "savev2" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } +} +opList { + name: "scalar_min" + 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argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_min" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_mul" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_nd" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "shape" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "scatter_nd_add" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_nd_sub" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_nd_update" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_sub" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_upd" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "lock" + argType: BOOL + } + argDescriptor { + name: "checkIndices" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "scatter_update" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "operand" + argType: INPUT_TENSOR + } + argDescriptor { + name: "updates" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "indices" + argType: INT64 + } + argDescriptor { + name: "dimension" + argType: INT64 + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "sconv2d" + argDescriptor { + name: "*output" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "*input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "*weightsDepth" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "bias" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "kH" + argType: INT64 + } + argDescriptor { + name: "kW" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "sH" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "sW" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "pH" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "pW" + argType: INT64 + argIndex: 5 + } + argDescriptor { + name: "dH" + argType: INT64 + argIndex: 6 + } + argDescriptor { + name: "dW" + argType: INT64 + argIndex: 7 + } + argDescriptor { + name: "isSameMode" + argType: INT64 + argIndex: 8 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + argIndex: 9 + } + argDescriptor { + name: "wFormat" + argType: INT64 + argIndex: 10 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sconv2d_bp" + argDescriptor { + name: "*gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "*gradWD" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradWP" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradB" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "*input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "*gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "*weightsDepth" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "weightsPoint" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "kH" + argType: INT64 + } + argDescriptor { + name: "kW" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "sH" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "sW" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "pH" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "pW" + argType: INT64 + argIndex: 5 + } + argDescriptor { + name: "dH" + argType: INT64 + argIndex: 6 + } + argDescriptor { + name: "dW" + argType: INT64 + argIndex: 7 + } + argDescriptor { + name: "isSameMode" + argType: INT64 + argIndex: 8 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + argIndex: 9 + } + argDescriptor { + name: "wFormat" + argType: INT64 + argIndex: 10 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_max" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_max_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_mean" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_mean_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradOut" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_min" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "segment_min_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outIndices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: 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+ argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "sizes" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "_a" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "numSplit" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sqrt" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "sqrtm" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "square" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: OP_IMPL +} +opList { + name: "squaredsubtract" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "squaredsubtract_bp" + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "squeeze" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "a" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "_a" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sru" + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "c0" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "mask" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sruCell" + argDescriptor { + name: "ht" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ct" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "xt" + argType: INPUT_TENSOR + } + argDescriptor { + name: "ct_1" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sru_bi" + argDescriptor { + name: "ht" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ct" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "c0" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "mask" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sru_bi_bp" + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradW" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradB" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradC0" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "c0" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "ct" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "inGradC0" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "inGradHt" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "mask" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sru_bp" + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradW" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "gradB" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "gradInit" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "c0" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "c" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "inGradCt" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "inGradH" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "mask" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "stabilize" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + argDescriptor { + name: "realMin" + argType: DOUBLE + } + argDescriptor { + name: "cutOff" + argType: DOUBLE + argIndex: 1 + } + argDescriptor { + name: "k" + argType: DOUBLE + argIndex: 2 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "stack" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "inArrs" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "stack_list" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "list" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "standardize" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "standardize_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "eps" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "static_bidirectional_rnn" + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "hFWFinal" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "hBWFinal" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "WxFW" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "WhFW" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "bFW" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "WxBW" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "WhBW" + argType: INPUT_TENSOR + argIndex: 5 + } + argDescriptor { + name: "bBW" + argType: INPUT_TENSOR + argIndex: 6 + } + argDescriptor { + name: "h0FW" + argType: INPUT_TENSOR + argIndex: 7 + } + argDescriptor { + name: "h0BW" + argType: INPUT_TENSOR + argIndex: 8 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "static_rnn" + argDescriptor { + name: "h" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "hFinal" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "Wx" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "Wh" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "h0" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "std" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "newFormat" + argType: BOOL + } + argDescriptor { + name: "keepDims" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "step" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "cutoff" + argType: DOUBLE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "stop_gradient" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: OP_IMPL +} +opList { + name: "strided_slice" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "v_begin" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "v_end" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "v_stride" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "begin_mask" + argType: INT64 + } + argDescriptor { + name: "ellipsis_mask" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "end_mask" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "new_axis_mask" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "shrink_axis_mask" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "strided_slice_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "v_begin" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "v_end" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "v_stride" + argType: INPUT_TENSOR + argIndex: 4 + } + argDescriptor { + name: "begin_mask" + argType: INT64 + } + argDescriptor { + name: "ellipsis_mask" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "end_mask" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "new_axis_mask" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "shrink_axis_mask" + argType: INT64 + argIndex: 4 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sub_scalar" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "subtract" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "subtract_bp" + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "gradY" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "sufficient_statistics" + argDescriptor { + name: "dataCount" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "sum" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "squares" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "shift" + argType: OUTPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "shift" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "svd" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "fullUV" + argType: BOOL + } + argDescriptor { + name: "computeUv" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "s" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "u" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "v" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "fullUV" + argType: INT64 + } + argDescriptor { + name: "calcUV" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "switchNum" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "swish" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "switch" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "predicate" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "frameName" + argType: STRING + } +} +opList { + name: "tan" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "tanderivative" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "tanh" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "tanh_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsilon" + argType: INPUT_TENSOR + argIndex: 1 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "tear" + argDescriptor { + name: "outE" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tensorarrayv3" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: INT64 + } +} +opList { + name: "tensorarraywritev3" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } +} +opList { + name: "tensordot" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "addedEdges" + argType: BOOL + } + argDescriptor { + name: "transposeY" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "transposeZ" + argType: BOOL + argIndex: 2 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensionsY" + argType: INT64 + } +} +opList { + name: "tensormmul" + argDescriptor { + name: "c" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "a" + argType: INPUT_TENSOR + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "axe0_size" + argType: INT64 + } + argDescriptor { + name: "axe1_size" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tensormmul_bp" + argDescriptor { + name: "dLdA" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdB" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "A" + argType: INPUT_TENSOR + } + argDescriptor { + name: "B" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdC" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "axe0Size" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "test_output_reshape" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "test_scalar" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "testcustom" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "testop2i2o" + argDescriptor { + name: "xO" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "yO" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + opDeclarationType: OP_IMPL +} +opList { + name: "testreduction" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + opDeclarationType: REDUCTION_OP_IMPL +} +opList { + name: "tf_atan2" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "thresholdedrelu" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "cutoff" + argType: DOUBLE + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "thresholdedrelu_bp" + argDescriptor { + name: "dLdI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dLdO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "cutoff" + argType: DOUBLE + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "tile" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "is_static_reps" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "reps_vector" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tile_bp" + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "repeat" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tile_to_shape" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tile_to_shape_bp" + argDescriptor { + name: "gradX" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "epsNext" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "timesoneminus" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "to_double" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_float16" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_float32" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_int32" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_int64" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_uint32" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "to_uint64" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "toggle_bits" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: OP_IMPL +} +opList { + name: "top_k" + argDescriptor { + name: "values" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "needSort" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "k" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "trace" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "transpose" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "permuteDims" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "tri" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "row" + argType: INT64 + } + argDescriptor { + name: "column" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "diag" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "triangular_solve" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "isLower" + argType: BOOL + } + argDescriptor { + name: "useAdjoint" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "a" + argType: INPUT_TENSOR + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "lower" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "adjoint" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "triu" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "diag" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "triu_bp" + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "diag" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "truncatediv" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: BROADCASTABLE_OP_IMPL +} +opList { + name: "unique" + argDescriptor { + name: "values" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unique_with_counts" + argDescriptor { + name: "values" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "indices" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "counts" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_max" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_max_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_mean" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_mean_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_min" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_min_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_prod" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_prod_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sqrt_n" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sqrt_n_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sum" + argDescriptor { + name: "segmentedOutput" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unsorted_segment_sum_bp" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "idxSegments" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "numSegments" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "numSegments" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unstack" + argDescriptor { + name: "outArrs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + argDescriptor { + name: "num" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "unstack_list" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "outputList" + argType: INPUT_TENSOR + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "upsampling2d" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "nchw" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "factorH" + argType: INT64 + } + argDescriptor { + name: "factorW" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "isNCHW" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "upsampling2d_bp" + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "nchw" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "scaleW" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "upsampling3d" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ncdhw" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "factorD" + argType: INT64 + } + argDescriptor { + name: "factorH" + argType: INT64 + argIndex: 1 + } + argDescriptor { + name: "factorW" + argType: INT64 + argIndex: 2 + } + argDescriptor { + name: "isNCDHW" + argType: INT64 + argIndex: 3 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "upsampling3d_bp" + argDescriptor { + name: "gradI" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "ncdhw" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "gradO" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "isNCDHW" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "var" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "biasCorrected" + argType: BOOL + } + argDescriptor { + name: "keepDims" + argType: BOOL + argIndex: 1 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimensions" + argType: INT64 + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "weighted_cross_entropy_with_logits" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "targets" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 2 + } + opDeclarationType: OP_IMPL +} +opList { + name: "where_np" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "condition" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "write_list" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "list" + argType: INPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "idx" + argType: INT64 + } + opDeclarationType: LIST_OP_IMPL +} +opList { + name: "xor" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "y" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + argDescriptor { + name: "comparable" + argType: DOUBLE + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "xor_scalar" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + opDeclarationType: LEGACY_XYZ +} +opList { + name: "xw_plus_b" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "weights" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "bTranspose" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "xw_plus_b_bp" + argDescriptor { + name: "dLdx" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dLdw" + argType: OUTPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dLdb" + argType: OUTPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "w" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "b" + argType: INPUT_TENSOR + argIndex: 2 + } + argDescriptor { + name: "dLdz" + argType: INPUT_TENSOR + argIndex: 3 + } + argDescriptor { + name: "bTranspose" + argType: INT64 + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "yiq_to_rgb" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "yuv_to_rgb" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dimC" + argType: INT64 + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "zero_fraction" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "zeros_as" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "dtype" + argType: DATA_TYPE + } +} +opList { + name: "zeros_like" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } +} +opList { + name: "zeroslike" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "dataType" + argType: INT64 + } +} +opList { + name: "zeta" + argDescriptor { + name: "outputs" + argType: OUTPUT_TENSOR + } + argDescriptor { + name: "inPlace" + argType: BOOL + } + argDescriptor { + name: "input" + argType: INPUT_TENSOR + } + argDescriptor { + name: "q" + argType: INPUT_TENSOR + argIndex: 1 + } + argDescriptor { + name: "dataType" + argType: DATA_TYPE + } + opDeclarationType: CONFIGURABLE_OP_IMPL +} +opList { + name: "placeholder" + opDeclarationType: LOGIC_OP_IMPL +} diff --git a/contrib/codegen-tools/libnd4j-gen/pom.xml b/contrib/codegen-tools/libnd4j-gen/pom.xml new file mode 100644 index 000000000..267765425 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/pom.xml @@ -0,0 +1,109 @@ + + + + + + 4.0.0 + + org.nd4j + libnd4j-gen + 1.0-SNAPSHOT + + libnd4j-gen + + + + UTF-8 + 1.8 + 1.8 + 1.0.0-SNAPSHOT + + + + + com.codepoetics + protonpack + 1.16 + + + com.github.javaparser + javaparser-core-serialization + 3.17.0 + + + com.github.javaparser + javaparser-symbol-solver-core + 3.17.0 + + + org.apache.commons + commons-text + 1.9 + + + org.apache.commons + commons-collections4 + 4.1 + + + org.reflections + reflections + 0.9.10 + + + + org.nd4j + protobuf + ${nd4j.version} + + + + junit + junit + 4.12 + test + + + + + org.projectlombok + lombok + 1.18.12 + + + + + org.nd4j + nd4j-native + ${nd4j.version} + + + + + org.nd4j + nd4j-api + ${nd4j.version} + + + + + diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/OpDeclarationDescriptor.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/OpDeclarationDescriptor.java new file mode 100644 index 000000000..c4ee1c0bf --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/OpDeclarationDescriptor.java @@ -0,0 +1,128 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor; + +import lombok.Builder; +import lombok.Data; + +import java.io.Serializable; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +/** + * The op descriptor for the libnd4j code base. + * Each op represents a serialized version of + * {@link org.nd4j.linalg.api.ops.DynamicCustomOp} + * that has naming metadata attached. + * + * @author Adam Gibson + */ +@Data +@Builder(toBuilder = true) +public class OpDeclarationDescriptor implements Serializable { + private String name; + private int nIn,nOut,tArgs,iArgs; + private boolean inplaceAble; + private List inArgNames; + private List outArgNames; + private List tArgNames; + private List iArgNames; + private List bArgNames; + + + private OpDeclarationType opDeclarationType; + @Builder.Default + private Map argOptional = new HashMap<>(); + + + public enum OpDeclarationType { + CUSTOM_OP_IMPL, + BOOLEAN_OP_IMPL, + LIST_OP_IMPL, + LOGIC_OP_IMPL, + OP_IMPL, + DIVERGENT_OP_IMPL, + CONFIGURABLE_OP_IMPL, + REDUCTION_OP_IMPL, + BROADCASTABLE_OP_IMPL, + BROADCASTABLE_BOOL_OP_IMPL, + LEGACY_XYZ, + PLATFORM_IMPL + } + + + + public void validate() { + if(nIn >= 0 && nIn != inArgNames.size() && !isVariableInputSize()) { + System.err.println("In arg names was not equal to number of inputs found for op " + name); + } + + if(nOut >= 0 && nOut != outArgNames.size() && !isVariableOutputSize()) { + System.err.println("Output arg names was not equal to number of outputs found for op " + name); + } + + if(tArgs >= 0 && tArgs != tArgNames.size() && !isVariableTArgs()) { + System.err.println("T arg names was not equal to number of T found for op " + name); + } + if(iArgs >= 0 && iArgs != iArgNames.size() && !isVariableIntArgs()) { + System.err.println("Integer arg names was not equal to number of integer args found for op " + name); + } + } + + + /** + * Returns true if there is a variable number + * of integer arguments for an op + * @return + */ + public boolean isVariableIntArgs() { + return iArgs < 0; + } + + /** + * Returns true if there is a variable + * number of t arguments for an op + * @return + */ + public boolean isVariableTArgs() { + return tArgs < 0; + } + + /** + * Returns true if the number of outputs is variable size + * @return + */ + public boolean isVariableOutputSize() { + return nOut < 0; + } + + /** + * Returns true if the number of + * inputs is variable size + * @return + */ + public boolean isVariableInputSize() { + return nIn < 0; + } + + +} diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/ParseOpFile.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/ParseOpFile.java new file mode 100644 index 000000000..61e518201 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/ParseOpFile.java @@ -0,0 +1,207 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor; + +import org.apache.commons.io.FileUtils; +import org.nd4j.common.base.Preconditions; +import org.nd4j.common.primitives.Pair; +import org.nd4j.descriptor.proposal.ArgDescriptorProposal; +import org.nd4j.descriptor.proposal.ArgDescriptorSource; +import org.nd4j.descriptor.proposal.impl.JavaSourceArgDescriptorSource; +import org.nd4j.descriptor.proposal.impl.Libnd4jArgDescriptorSource; +import org.nd4j.descriptor.proposal.impl.ArgDescriptorParserUtils; +import org.nd4j.ir.OpNamespace; +import org.nd4j.shade.protobuf.TextFormat; + +import java.io.File; +import java.nio.charset.Charset; +import java.util.*; +import java.util.stream.Collectors; + + +/** + * Parses the libnd4j code base based on a relative path + * default of ../deeplearning4j/libnd4j + * or a passed in file path. + * It generates a descriptor for each op. + * The file properties can be found at {@link OpDeclarationDescriptor} + * + * + * @author Adam Gibson + */ +public class ParseOpFile { + + + public static void main(String...args) throws Exception { + String libnd4jPath = args.length > 0 ? args[0] : Libnd4jArgDescriptorSource.DEFAULT_LIBND4J_DIRECTORY; + String outputFilePath = args.length > 1 ? args[1] : ArgDescriptorParserUtils.DEFAULT_OUTPUT_FILE; + + File libnd4jRootDir = new File(libnd4jPath); + StringBuilder nd4jApiSourceDir = new StringBuilder(); + nd4jApiSourceDir.append("nd4j"); + nd4jApiSourceDir.append(File.separator); + nd4jApiSourceDir.append("nd4j-backends"); + nd4jApiSourceDir.append(File.separator); + nd4jApiSourceDir.append("nd4j-api-parent"); + nd4jApiSourceDir.append(File.separator); + nd4jApiSourceDir.append("nd4j-api"); + nd4jApiSourceDir.append(File.separator); + nd4jApiSourceDir.append("src"); + nd4jApiSourceDir.append(File.separator); + nd4jApiSourceDir.append("main"); + nd4jApiSourceDir.append(File.separator); + nd4jApiSourceDir.append("java"); + File nd4jApiRootDir = new File(new File(libnd4jPath).getParent(),nd4jApiSourceDir.toString()); + System.out.println("Parsing libnd4j code base at " + libnd4jRootDir.getAbsolutePath() + " and writing to " + outputFilePath); + Libnd4jArgDescriptorSource libnd4jArgDescriptorSource = Libnd4jArgDescriptorSource.builder() + .libnd4jPath(libnd4jPath) + .weight(99999.0) + .build(); + + + + JavaSourceArgDescriptorSource javaSourceArgDescriptorSource = JavaSourceArgDescriptorSource.builder() + .nd4jApiRootDir(nd4jApiRootDir) + .weight(1.0) + .build(); + + Map opTypes = new HashMap<>(); + + Map> proposals = new HashMap<>(); + for(ArgDescriptorSource argDescriptorSource : new ArgDescriptorSource[] {libnd4jArgDescriptorSource,javaSourceArgDescriptorSource}) { + Map> currProposals = argDescriptorSource.getProposals(); + for(Map.Entry> entry : currProposals.entrySet()) { + Preconditions.checkState(!entry.getKey().isEmpty()); + Set seenNames = new HashSet<>(); + if(proposals.containsKey(entry.getKey())) { + List currProposalsList = proposals.get(entry.getKey()); + currProposalsList.addAll(entry.getValue().stream().filter(proposal -> { + Preconditions.checkState(!proposal.getDescriptor().getName().isEmpty()); + boolean ret = proposal.getDescriptor().getArgIndex() >= 0 && !seenNames.contains(proposal.getDescriptor().getName()); + seenNames.add(proposal.getDescriptor().getName()); + return ret; + }).collect(Collectors.toList())); + + } + else { + Preconditions.checkState(!entry.getKey().isEmpty()); + proposals.put(entry.getKey(),entry.getValue()); + } + } + } + + javaSourceArgDescriptorSource.getOpTypes().forEach((k,v) -> { + opTypes.put(k, OpNamespace.OpDescriptor.OpDeclarationType.valueOf(v.name())); + }); + + libnd4jArgDescriptorSource.getOpTypes().forEach((k,v) -> { + opTypes.put(k, OpNamespace.OpDescriptor.OpDeclarationType.valueOf(v.name())); + + }); + + opTypes.putAll(javaSourceArgDescriptorSource.getOpTypes()); + opTypes.putAll(libnd4jArgDescriptorSource.getOpTypes()); + + OpNamespace.OpDescriptorList.Builder listBuilder = OpNamespace.OpDescriptorList.newBuilder(); + for(Map.Entry> proposal : proposals.entrySet()) { + Preconditions.checkState(!proposal.getKey().isEmpty()); + Map> collect = proposal.getValue().stream() + .collect(Collectors.groupingBy(input -> input.getDescriptor().getName())); + //merge boolean and int64 + collect.entrySet().forEach(entry -> { + ArgDescriptorParserUtils.standardizeTypes(entry.getValue()); + }); + + Map, OpNamespace.ArgDescriptor> rankedProposals = ArgDescriptorParserUtils. + standardizeNames(collect, proposal.getKey()); + OpNamespace.OpDescriptor.Builder opDescriptorBuilder = OpNamespace.OpDescriptor.newBuilder() + .setOpDeclarationType(opTypes.get(proposal.getKey())) + .setName(proposal.getKey()); + rankedProposals.entrySet().stream().map(input -> input.getValue()) + .forEach(argDescriptor -> { + opDescriptorBuilder.addArgDescriptor(argDescriptor); + }); + + listBuilder.addOpList(opDescriptorBuilder.build()); + + } + + OpNamespace.OpDescriptorList.Builder sortedListBuilder = OpNamespace.OpDescriptorList.newBuilder(); + List sortedDescriptors = new ArrayList<>(); + for(int i = 0; i < listBuilder.getOpListCount(); i++) { + OpNamespace.OpDescriptor opList = listBuilder.getOpList(i); + OpNamespace.OpDescriptor.Builder sortedOpBuilder = OpNamespace.OpDescriptor.newBuilder(); + Map> sortedByType = opList.getArgDescriptorList().stream().collect(Collectors.groupingBy(input -> input.getArgType())); + Set namesEncountered = new HashSet<>(); + sortedByType.entrySet().forEach(entry -> { + Collections.sort(entry.getValue(),Comparator.comparing(inputArg -> inputArg.getArgIndex())); + for(int j = 0; j < entry.getValue().size(); j++) { + OpNamespace.ArgDescriptor currDescriptor = entry.getValue().get(j); + boolean isArrayArg = false; + String finalName = currDescriptor.getName(); + if(currDescriptor.getName().contains("[")) { + isArrayArg = true; + finalName = finalName.replaceAll("\\[.*\\]","").replace("*",""); + } + + if(currDescriptor.getArgIndex() != j) { + throw new IllegalStateException("Op name " + opList.getName() + " has incontiguous indices for type " + entry.getKey() + " with descriptor being " +currDescriptor); + } + + OpNamespace.ArgDescriptor.Builder newDescriptor = OpNamespace.ArgDescriptor.newBuilder() + .setName(finalName) + .setArgIndex(currDescriptor.getArgIndex()) + .setIsArray(isArrayArg) + .setArgType(currDescriptor.getArgType()) + .setConvertBoolToInt(currDescriptor.getConvertBoolToInt()); + + sortedOpBuilder.addArgDescriptor(newDescriptor.build()); + + namesEncountered.add(currDescriptor.getName()); + + } + }); + + sortedOpBuilder.setOpDeclarationType(opList.getOpDeclarationType()); + sortedOpBuilder.setName(opList.getName()); + sortedDescriptors.add(sortedOpBuilder.build()); + + } + + + //sort alphabetically + Collections.sort(sortedDescriptors,Comparator.comparing(opDescriptor -> opDescriptor.getName())); + //add placeholder as an op to map + sortedDescriptors.add(OpNamespace.OpDescriptor.newBuilder() + .setName("placeholder") + .setOpDeclarationType(OpNamespace.OpDescriptor.OpDeclarationType.LOGIC_OP_IMPL) + .build()); + sortedDescriptors.forEach(input -> { + sortedListBuilder.addOpList(input); + }); + + + String write = TextFormat.printToString(sortedListBuilder.build()); + FileUtils.writeStringToFile(new File(outputFilePath),write, Charset.defaultCharset()); + } + + +} diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/ArgDescriptorProposal.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/ArgDescriptorProposal.java new file mode 100644 index 000000000..dce986568 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/ArgDescriptorProposal.java @@ -0,0 +1,38 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor.proposal; + +import lombok.Builder; +import lombok.Data; +import org.nd4j.ir.OpNamespace; + +@Builder +@Data +public class ArgDescriptorProposal { + + private OpNamespace.ArgDescriptor descriptor; + + private String sourceLine; + + private double proposalWeight; + + private String sourceOfProposal; +} diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/ArgDescriptorSource.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/ArgDescriptorSource.java new file mode 100644 index 000000000..9b281c4df --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/ArgDescriptorSource.java @@ -0,0 +1,35 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor.proposal; + +import org.nd4j.ir.OpNamespace; + +import java.util.List; +import java.util.Map; + +public interface ArgDescriptorSource { + + Map> getProposals(); + + OpNamespace.OpDescriptor.OpDeclarationType typeFor(String name); + + +} diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/ArgDescriptorParserUtils.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/ArgDescriptorParserUtils.java new file mode 100644 index 000000000..497549e02 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/ArgDescriptorParserUtils.java @@ -0,0 +1,826 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor.proposal.impl; + +import com.github.javaparser.ast.expr.MethodCallExpr; +import com.github.javaparser.resolution.declarations.ResolvedMethodDeclaration; +import com.github.javaparser.resolution.declarations.ResolvedParameterDeclaration; +import lombok.val; +import org.apache.commons.text.similarity.LevenshteinDistance; +import org.nd4j.autodiff.samediff.SDVariable; +import org.nd4j.common.base.Preconditions; +import org.nd4j.common.primitives.*; +import org.nd4j.descriptor.OpDeclarationDescriptor; +import org.nd4j.descriptor.proposal.ArgDescriptorProposal; +import org.nd4j.ir.OpNamespace; +import org.nd4j.linalg.api.ndarray.INDArray; + +import java.lang.reflect.Field; +import java.lang.reflect.Modifier; +import java.util.*; +import java.util.regex.Matcher; +import java.util.regex.Pattern; +import java.util.stream.Collectors; + +public class ArgDescriptorParserUtils { + public final static String DEFAULT_OUTPUT_FILE = "op-ir.proto"; + public final static Pattern numberPattern = Pattern.compile("\\([\\d]+\\)"); + + + public final static String ARGUMENT_ENDING_PATTERN = "\\([\\w\\d+-\\\\*\\/]+\\);"; + public final static String ARGUMENT_PATTERN = "\\([\\w\\d+-\\\\*\\/]+\\)"; + + public final static String ARRAY_ASSIGNMENT = "\\w+\\[[a-zA-Z]+\\]\\s*=\\s*[A-Z]+_[A-Z]+\\(\\s*[\\d\\w+-\\/\\*\\s]+\\);"; + + public final static Set bannedMaxIndexOps = new HashSet() {{ + add("embedding_lookup"); + add("stack"); + }}; + + public final static Set bannedIndexChangeOps = new HashSet() {{ + add("gemm"); + add("mmul"); + add("matmul"); + }}; + + + public static final Set cppTypes = new HashSet() {{ + add("int"); + add("bool"); + add("auto"); + add("string"); + add("float"); + add("double"); + add("char"); + add("class"); + add("uint"); + }}; + + public final static Set fieldNameFilters = new HashSet() {{ + add("sameDiff"); + add("xVertexId"); + add("yVertexId"); + add("zVertexId"); + add("extraArgs"); + add("extraArgz"); + add("dimensionz"); + add("scalarValue"); + add("dimensions"); + add("jaxis"); + add("inPlace"); + }}; + + public final static Set fieldNameFiltersDynamicCustomOps = new HashSet() {{ + add("sameDiff"); + add("xVertexId"); + add("yVertexId"); + add("zVertexId"); + add("extraArgs"); + add("extraArgz"); + add("dimensionz"); + add("scalarValue"); + add("jaxis"); + add("inPlace"); + add("inplaceCall"); + }}; + + public static Map equivalentAttributeNames = new HashMap() {{ + put("axis","dimensions"); + put("dimensions","axis"); + put("jaxis","dimensions"); + put("dimensions","jaxis"); + put("inplaceCall","inPlace"); + put("inPlace","inplaceCall"); + }}; + + + public static Set dimensionNames = new HashSet() {{ + add("jaxis"); + add("axis"); + add("dimensions"); + add("dimensionz"); + add("dim"); + add("axisVector"); + add("axesI"); + add("ax"); + add("dims"); + add("axes"); + add("axesVector"); + }}; + + public static Set inputNames = new HashSet() {{ + add("input"); + add("inputs"); + add("i_v"); + add("x"); + add("in"); + add("args"); + add("i_v1"); + add("first"); + add("layerInput"); + add("in1"); + add("arrays"); + }}; + public static Set input2Names = new HashSet() {{ + add("y"); + add("i_v2"); + add("second"); + add("in2"); + }}; + + public static Set outputNames = new HashSet() {{ + add("output"); + add("outputs"); + add("out"); + add("result"); + add("z"); + add("outputArrays"); + }}; + + + public static Set inplaceNames = new HashSet() {{ + add("inPlace"); + add("inplaceCall"); + }}; + + + public static OpNamespace.ArgDescriptor.ArgType argTypeForParam(ResolvedParameterDeclaration parameterDeclaration) { + String type = parameterDeclaration.describeType(); + boolean isEnum = false; + try { + isEnum = Class.forName(parameterDeclaration.asParameter().describeType()).isEnum(); + } catch(ClassNotFoundException e) { + + } + + if(type.contains(INDArray.class.getName()) || type.contains(SDVariable.class.getName())) { + if(!outputNames.contains(parameterDeclaration.getName())) { + return OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR; + } + else return OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR; + } else if(type.contains(double.class.getName()) || type.contains(float.class.getName()) || type.contains(Float.class.getName()) || type.contains(Double.class.getName())) { + return OpNamespace.ArgDescriptor.ArgType.DOUBLE; + } else if(type.contains(int.class.getName()) || type.contains(long.class.getName()) || + type.contains(Integer.class.getName()) || type.contains(Long.class.getName()) || isEnum) { + return OpNamespace.ArgDescriptor.ArgType.INT64; + } else if(type.contains(boolean.class.getName()) || type.contains(Boolean.class.getName())) { + return OpNamespace.ArgDescriptor.ArgType.BOOL; + } else { + return OpNamespace.ArgDescriptor.ArgType.UNRECOGNIZED; + } + } + + + public static boolean paramIsEnum(String paramType) { + try { + return Class.forName(paramType).isEnum(); + } catch(ClassNotFoundException e) { + return false; + } + } + + + public static boolean paramIsEnum(ResolvedParameterDeclaration param) { + return paramIsEnum(param.describeType()); + } + + + public static boolean isValidParam(ResolvedParameterDeclaration param) { + boolean describedClassIsEnum = false; + boolean ret = param.describeType().contains(INDArray.class.getName()) || + param.describeType().contains(boolean.class.getName()) || + param.describeType().contains(Boolean.class.getName()) || + param.describeType().contains(SDVariable.class.getName()) || + param.describeType().contains(Integer.class.getName()) || + param.describeType().contains(int.class.getName()) || + param.describeType().contains(double.class.getName()) || + param.describeType().contains(Double.class.getName()) || + param.describeType().contains(float.class.getName()) || + param.describeType().contains(Float.class.getName()) || + param.describeType().contains(Long.class.getName()) || + param.describeType().contains(long.class.getName()); + try { + describedClassIsEnum = Class.forName(param.asParameter().describeType()).isEnum(); + } catch(ClassNotFoundException e) { + + } + return ret || describedClassIsEnum; + } + + public static ResolvedMethodDeclaration tryResolve(MethodCallExpr methodCallExpr) { + try { + return methodCallExpr.resolve(); + }catch(Exception e) { + + } + return null; + } + + public static boolean typeNameOrArrayOfTypeNameMatches(String typeName,String...types) { + boolean ret = false; + for(String type : types) { + ret = typeName.equals(type) || + typeName.equals(type + "...") || + typeName.equals(type + "[]") || ret; + + } + + return ret; + } + + + public static boolean equivalentAttribute(OpNamespace.ArgDescriptor comp1, OpNamespace.ArgDescriptor comp2) { + if(equivalentAttributeNames.containsKey(comp1.getName())) { + return equivalentAttributeNames.get(comp1.getName()).equals(comp2.getName()); + } + + if(equivalentAttributeNames.containsKey(comp2.getName())) { + return equivalentAttributeNames.get(comp2.getName()).equals(comp1.getName()); + } + return false; + } + + public static boolean argsListContainsEquivalentAttribute(List argDescriptors, OpNamespace.ArgDescriptor to) { + for(OpNamespace.ArgDescriptor argDescriptor : argDescriptors) { + if(argDescriptor.getArgType() == to.getArgType() && equivalentAttribute(argDescriptor,to)) { + return true; + } + } + + return false; + } + + public static boolean argsListContainsSimilarArg(List argDescriptors, OpNamespace.ArgDescriptor to, int threshold) { + for(OpNamespace.ArgDescriptor argDescriptor : argDescriptors) { + if(argDescriptor.getArgType() == to.getArgType() && LevenshteinDistance.getDefaultInstance().apply(argDescriptor.getName().toLowerCase(),to.getName().toLowerCase()) <= threshold) { + return true; + } + } + + return false; + } + + public static OpNamespace.ArgDescriptor mergeDescriptorsOfSameIndex(OpNamespace.ArgDescriptor one, OpNamespace.ArgDescriptor two) { + if(one.getArgIndex() != two.getArgIndex()) { + throw new IllegalArgumentException("Argument indices for both arg descriptors were not the same. First one was " + one.getArgIndex() + " and second was " + two.getArgIndex()); + } + + if(one.getArgType() != two.getArgType()) { + throw new IllegalArgumentException("Merging two arg descriptors requires both be the same type. First one was " + one.getArgType().name() + " and second one was " + two.getArgType().name()); + } + + OpNamespace.ArgDescriptor.Builder newDescriptor = OpNamespace.ArgDescriptor.newBuilder(); + //arg indices will be the same + newDescriptor.setArgIndex(one.getArgIndex()); + newDescriptor.setArgType(one.getArgType()); + if(!isValidIdentifier(one.getName()) && !isValidIdentifier(two.getName())) { + newDescriptor.setName("arg" + newDescriptor.getArgIndex()); + } else if(!isValidIdentifier(one.getName())) { + newDescriptor.setName(two.getName()); + } else { + newDescriptor.setName(one.getName()); + } + + + return newDescriptor.build(); + } + + public static boolean isValidIdentifier(String input) { + if(input == null || input.isEmpty()) + return false; + + for(int i = 0; i < input.length(); i++) { + if(!Character.isJavaIdentifierPart(input.charAt(i))) + return false; + } + + if(cppTypes.contains(input)) + return false; + + return true; + } + + public static boolean containsOutputTensor(Collection proposals) { + for(ArgDescriptorProposal proposal : proposals) { + if(proposal.getDescriptor().getArgType() == OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) { + return true; + } + } + + return false; + } + + + public static OpNamespace.ArgDescriptor getDescriptorWithName(String name, Collection proposals) { + for(ArgDescriptorProposal proposal : proposals) { + if(proposal.getDescriptor().getName().equals(name)) { + return proposal.getDescriptor(); + } + } + + return null; + } + + public static boolean containsProposalWithDescriptorName(String name, Collection proposals) { + for(ArgDescriptorProposal proposal : proposals) { + if(proposal.getDescriptor().getName().equals(name)) { + return true; + } + } + + return false; + } + + public List updateOpDescriptor(OpNamespace.OpDescriptor opDescriptor, OpDeclarationDescriptor declarationDescriptor, List argsByIIndex, OpNamespace.ArgDescriptor.ArgType int64) { + List copyValuesInt = addArgDescriptors(opDescriptor, declarationDescriptor, argsByIIndex, int64); + List proposals = new ArrayList<>(); + + return proposals; + } + + public static List addArgDescriptors(OpNamespace.OpDescriptor opDescriptor, OpDeclarationDescriptor declarationDescriptor, List argsByTIndex, OpNamespace.ArgDescriptor.ArgType argType) { + List copyValuesFloat = new ArrayList<>(opDescriptor.getArgDescriptorList()); + for(int i = 0; i < argsByTIndex.size(); i++) { + OpNamespace.ArgDescriptor argDescriptor = OpNamespace.ArgDescriptor.newBuilder() + .setArgType(argType) + .setName(argsByTIndex.get(i)) + .setArgIndex(i) + //this can happen when there are still missing names from c++ + .setArgOptional(declarationDescriptor != null && i <= declarationDescriptor.getTArgs() ? false : true) + .build(); + copyValuesFloat.add(argDescriptor); + + } + return copyValuesFloat; + } + + public static Map argIndexForCsv(String line) { + Map ret = new HashMap<>(); + String[] lineSplit = line.split(","); + for(int i = 0; i < lineSplit.length; i++) { + ret.put(lineSplit[i],i); + } + + return ret; + } + + public static Integer extractArgFromJava(String line) { + Matcher matcher = numberPattern.matcher(line); + if(!matcher.find()) { + throw new IllegalArgumentException("No number found for line " + line); + } + + return Integer.parseInt(matcher.group()); + } + + public static Integer extractArgFromCpp(String line,String argType) { + Matcher matcher = Pattern.compile(argType + "\\([\\d]+\\)").matcher(line); + if(!matcher.find()) { + //Generally not resolvable + return -1; + } + + if(matcher.groupCount() > 1) { + throw new IllegalArgumentException("Line contains more than 1 index"); + } + + try { + return Integer.parseInt(matcher.group().replace("(","").replace(")","").replace(argType,"")); + } catch(NumberFormatException e) { + e.printStackTrace(); + return -1; + } + } + + public static List getAllFields(Class clazz) { + if (clazz == null) { + return Collections.emptyList(); + } + + List result = new ArrayList<>(getAllFields(clazz.getSuperclass())); + List filteredFields = Arrays.stream(clazz.getDeclaredFields()) + .filter(f -> Modifier.isPublic(f.getModifiers()) || Modifier.isProtected(f.getModifiers())) + .collect(Collectors.toList()); + result.addAll(filteredFields); + return result; + } + + public static String removeBracesFromDeclarationMacro(String line, String nameOfMacro) { + line = line.replace(nameOfMacro + "(", ""); + line = line.replace(")", ""); + line = line.replace("{", ""); + line = line.replace(";",""); + return line; + } + + public static void addNameToList(String line, List list, List argIndices, String argType) { + String[] split = line.split(" = "); + String[] arrSplit = split[0].split(" "); + //type + name + String name = arrSplit[arrSplit.length - 1]; + Preconditions.checkState(!name.isEmpty()); + if(!list.contains(name)) + list.add(name); + + Integer index = extractArgFromCpp(line,argType); + if(index != null) + argIndices.add(index); + } + + public static void addArrayNameToList(String line, List list, List argIndices, String argType) { + String[] split = line.split(" = "); + String[] arrSplit = split[0].split(" "); + //type + name + String name = arrSplit[arrSplit.length - 1]; + Preconditions.checkState(!name.isEmpty()); + if(!list.contains(name)) + list.add(name); + //arrays are generally appended to the end + Integer index = - 1; + if(index != null) + argIndices.add(index); + } + + public static void standardizeTypes(List input) { + input.stream().forEach(proposal -> { + //note that if automatic conversion should not happen, set convertBoolToInt to false + if(proposal.getDescriptor().getArgType() == OpNamespace.ArgDescriptor.ArgType.BOOL && proposal.getDescriptor().getConvertBoolToInt()) { + OpNamespace.ArgDescriptor newDescriptor = OpNamespace.ArgDescriptor.newBuilder() + .setArgIndex(proposal.getDescriptor().getArgIndex()) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName(proposal.getDescriptor().getName()) + .build(); + proposal.setDescriptor(newDescriptor); + } + }); + } + + public static ArgDescriptorProposal aggregateProposals(List listOfProposals) { + val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder(); + Counter mostLikelyIndex = new Counter<>(); + + AtomicDouble aggregatedWeight = new AtomicDouble(0.0); + listOfProposals.forEach(proposal -> { + mostLikelyIndex.incrementCount(proposal.getDescriptor().getArgIndex(),1.0); + aggregatedWeight.addAndGet(proposal.getProposalWeight()); + descriptorBuilder.setName(proposal.getDescriptor().getName()); + descriptorBuilder.setIsArray(proposal.getDescriptor().getIsArray()); + descriptorBuilder.setArgType(proposal.getDescriptor().getArgType()); + descriptorBuilder.setConvertBoolToInt(proposal.getDescriptor().getConvertBoolToInt()); + descriptorBuilder.setIsArray(proposal.getDescriptor().getIsArray()); + }); + + //set the index after computing the most likely index + descriptorBuilder.setArgIndex(mostLikelyIndex.argMax()); + + return ArgDescriptorProposal + .builder() + .descriptor(descriptorBuilder.build()) + .proposalWeight(aggregatedWeight.doubleValue()) + .build(); + } + + public static Map, OpNamespace.ArgDescriptor> standardizeNames + (Map> toStandardize, String opName) { + Map> ret = new HashMap<>(); + Map,List> dimensionProposals = new HashMap<>(); + Map,List> inPlaceProposals = new HashMap<>(); + Map,List> inputsProposals = new HashMap<>(); + Map,List> inputs2Proposals = new HashMap<>(); + Map,List> outputsProposals = new HashMap<>(); + + toStandardize.entrySet().forEach(entry -> { + if(entry.getKey().isEmpty()) { + throw new IllegalStateException("Name must not be empty!"); + } + + if(dimensionNames.contains(entry.getKey())) { + extractProposals(dimensionProposals, entry); + } else if(inplaceNames.contains(entry.getKey())) { + extractProposals(inPlaceProposals, entry); + } else if(inputNames.contains(entry.getKey())) { + extractProposals(inputsProposals, entry); + } else if(input2Names.contains(entry.getKey())) { + extractProposals(inputs2Proposals, entry); + } else if(outputNames.contains(entry.getKey())) { + extractProposals(outputsProposals, entry); + } + else { + ret.put(entry.getKey(),entry.getValue()); + } + }); + + + /** + * Two core ops have issues: + * argmax and cumsum both have the same issue + * other boolean attributes are present + * that are converted to ints and get clobbered + * by dimensions having the wrong index + * + * For argmax, exclusive gets clobbered. It should have index 0, + * but for some reason dimensions gets index 0. + */ + + + /** + * TODO: make this method return name/type + * combinations rather than just name/single list. + */ + if(!dimensionProposals.isEmpty()) { + // List, ArgDescriptorProposal>> d + computeAggregatedProposalsPerType(ret, dimensionProposals, "dimensions"); + } + + if(!inPlaceProposals.isEmpty()) { + computeAggregatedProposalsPerType(ret, inPlaceProposals, "inPlace"); + } + + if(!inputsProposals.isEmpty()) { + computeAggregatedProposalsPerType(ret, inputsProposals, "input"); + + } + + if(!inputs2Proposals.isEmpty()) { + computeAggregatedProposalsPerType(ret, inputs2Proposals, "y"); + + } + + if(!outputsProposals.isEmpty()) { + computeAggregatedProposalsPerType(ret, outputsProposals, "outputs"); + } + + Map, OpNamespace.ArgDescriptor> ret2 = new HashMap<>(); + CounterMap,ArgDescriptorProposal> proposalsByType = new CounterMap<>(); + ret.values().forEach(input -> { + input.forEach(proposal1 -> { + proposalsByType.incrementCount(Pair.of(proposal1.getDescriptor().getArgIndex(),proposal1.getDescriptor().getArgType()),proposal1,proposal1.getProposalWeight()); + }); + }); + + ret.clear(); + proposalsByType.keySet().stream().forEach(argTypeIndexPair -> { + val proposal = proposalsByType.getCounter(argTypeIndexPair).argMax(); + val name = proposal.getDescriptor().getName(); + List proposalsForName; + if(!ret.containsKey(name)) { + proposalsForName = new ArrayList<>(); + ret.put(name,proposalsForName); + } + else + proposalsForName = ret.get(name); + proposalsForName.add(proposal); + ret.put(proposal.getDescriptor().getName(),proposalsForName); + }); + + ret.forEach((name,proposals) -> { + val proposalsGroupedByType = proposals.stream().collect(Collectors.groupingBy(proposal -> proposal.getDescriptor().getArgType())); + List maxProposalsForEachType = new ArrayList<>(); + proposalsGroupedByType.forEach((type,proposalGroupByType) -> { + Counter proposalsCounter = new Counter<>(); + proposalGroupByType.forEach(proposalByType -> { + proposalsCounter.incrementCount(proposalByType,proposalByType.getProposalWeight()); + }); + + maxProposalsForEachType.add(proposalsCounter.argMax()); + }); + + proposals = maxProposalsForEachType; + + + //group by index and type + val collected = proposals.stream() + .collect(Collectors.groupingBy(input -> Pair.of(input.getDescriptor().getArgIndex(),input.getDescriptor().getArgType()))) + .entrySet() + .stream().map(input -> Pair.of(input.getKey(), + aggregateProposals(input.getValue()).getDescriptor())) + .collect(Collectors.toMap(pair -> pair.getKey(),pair -> pair.getValue())); + val groupedByType = collected.entrySet().stream().collect(Collectors.groupingBy(input -> input.getKey().getRight())); + groupedByType.forEach((argType,list) -> { + //count number of elements that aren't -1 + int numGreaterThanNegativeOne = list.stream().map(input -> input.getKey().getFirst() >= 0 ? 1 : 0) + .reduce(0,(a,b) -> a + b); + if(numGreaterThanNegativeOne > 1) { + throw new IllegalStateException("Name of " + name + " with type " + argType + " not aggregated properly."); + } + }); + + + val arrEntries = collected.entrySet().stream() + .filter(pair -> pair.getValue().getIsArray()) + .collect(Collectors.toList()); + //process arrays separately and aggregate by type + if(!arrEntries.isEmpty()) { + val initialType = arrEntries.get(0).getValue().getArgType(); + val allSameType = new AtomicBoolean(true); + val negativeOnePresent = new AtomicBoolean(false); + arrEntries.forEach(entry -> { + allSameType.set(allSameType.get() && entry.getValue().getArgType() == initialType); + negativeOnePresent.set(negativeOnePresent.get() || entry.getValue().getArgIndex() == -1); + //only remove if we see -1 + if(negativeOnePresent.get()) + collected.remove(entry.getKey()); + }); + + if(allSameType.get() && negativeOnePresent.get()) { + collected.put(Pair.of(-1,initialType), OpNamespace.ArgDescriptor.newBuilder() + .setArgType(initialType) + .setArgIndex(-1) + .setIsArray(true) + .setName(arrEntries.get(0).getValue().getName()).build()); + } + } + + ret2.putAll(collected); + + }); + + Map maxIndex = new HashMap<>(); + if(!bannedMaxIndexOps.contains(opName)) + ret2.forEach((key,value) -> { + if(!maxIndex.containsKey(key.getRight())) { + maxIndex.put(key.getValue(),key.getFirst()); + } else { + maxIndex.put(key.getValue(),Math.max(key.getFirst(),maxIndex.get(key.getValue()))); + } + }); + + //update -1 values to be valid indices relative to whatever the last index is when an array is found + //and -1 is present + Map, OpNamespace.ArgDescriptor> updateValues = new HashMap<>(); + Set> removeKeys = new HashSet<>(); + if(!bannedMaxIndexOps.contains(opName)) + ret2.forEach((key,value) -> { + if(value.getArgIndex() < 0) { + removeKeys.add(key); + int maxIdx = maxIndex.get(value.getArgType()); + updateValues.put(Pair.of(maxIdx + 1,value.getArgType()), OpNamespace.ArgDescriptor.newBuilder() + .setName(value.getName()) + .setIsArray(value.getIsArray()) + .setArgType(value.getArgType()) + .setArgIndex(maxIdx + 1) + .setConvertBoolToInt(value.getConvertBoolToInt()) + .build()); + } + }); + + removeKeys.forEach(key -> ret2.remove(key)); + ret2.putAll(updateValues); + return ret2; + } + + private static void computeAggregatedProposalsPerType(Map> ret, Map, List> dimensionProposals, String name) { + List dimensions = dimensionProposals.entrySet().stream().map(indexTypeAndList -> { + if(indexTypeAndList.getValue().isEmpty()) { + throw new IllegalStateException("Unable to compute aggregated proposals for an empty list"); + } + OpNamespace.ArgDescriptor template = indexTypeAndList.getValue().get(0).getDescriptor(); + + int idx = indexTypeAndList.getKey().getFirst(); + OpNamespace.ArgDescriptor.ArgType type = indexTypeAndList.getKey().getRight(); + return Pair.of(indexTypeAndList.getKey(), + ArgDescriptorProposal.builder() + .sourceOfProposal("computedAggregate") + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgIndex(idx) + .setArgType(type) + .setName(name) + .setIsArray(template.getIsArray() || idx < 0) + .build()) + .proposalWeight(indexTypeAndList.getValue().stream() + .collect(Collectors.summingDouble(input -> input.getProposalWeight())) + ).build()); + }).map(input -> input.getSecond()). + collect(Collectors.toList()); + + + ret.put(name,dimensions); + } + + private static void extractProposals(Map, List> inPlaceProposals, Map.Entry> entry) { + entry.getValue().forEach(proposal -> { + List proposals = null; + if (!inPlaceProposals.containsKey(extractKey(proposal))) { + proposals = new ArrayList<>(); + inPlaceProposals.put(extractKey(proposal), proposals); + } else { + proposals = inPlaceProposals.get(extractKey(proposal)); + } + + proposals.add(proposal); + inPlaceProposals.put(extractKey(proposal), proposals); + }); + } + + /** + * Extract a key reflecting index and type of arg descriptor + * @param proposal the input proposal + * @return + */ + public static Pair extractKey(ArgDescriptorProposal proposal) { + return Pair.of(proposal.getDescriptor().getArgIndex(),proposal.getDescriptor().getArgType()); + } + + + public static boolean proposalsAllSameType(List proposals) { + OpNamespace.ArgDescriptor.ArgType firstType = proposals.get(0).getDescriptor().getArgType(); + for(ArgDescriptorProposal proposal : proposals) { + if(proposal.getDescriptor().getArgType() != firstType) { + return false; + } + } + + return true; + } + + + private static List mergeProposals(Map> ret, List dimensionsList, OpNamespace.ArgDescriptor.ArgType argType, String nameOfArgDescriptor) { + double priorityWeight = 0.0; + ArgDescriptorProposal.ArgDescriptorProposalBuilder newProposalBuilder = ArgDescriptorProposal.builder(); + Counter indexCounter = new Counter<>(); + List proposalsOutsideType = new ArrayList<>(); + boolean allArrayType = true; + for(ArgDescriptorProposal argDescriptorProposal : dimensionsList) { + allArrayType = argDescriptorProposal.getDescriptor().getIsArray() && allArrayType; + //handle arrays separately + if(argDescriptorProposal.getDescriptor().getArgType() == argType) { + indexCounter.incrementCount(argDescriptorProposal.getDescriptor().getArgIndex(),1); + priorityWeight += argDescriptorProposal.getProposalWeight(); + } else if(argDescriptorProposal.getDescriptor().getArgType() != argType) { + proposalsOutsideType.add(argDescriptorProposal); + } + } + + dimensionsList.clear(); + //don't add a list if one is not present + if(!indexCounter.isEmpty()) { + newProposalBuilder + .proposalWeight(priorityWeight) + .descriptor( + OpNamespace.ArgDescriptor.newBuilder() + .setName(nameOfArgDescriptor) + .setArgType(argType) + .setIsArray(allArrayType) + .setArgIndex(indexCounter.argMax()) + .build()); + + dimensionsList.add(newProposalBuilder.build()); + ret.put(nameOfArgDescriptor, dimensionsList); + } + + //standardize the names + proposalsOutsideType.forEach(proposalOutsideType -> { + proposalOutsideType.setDescriptor( + OpNamespace.ArgDescriptor.newBuilder() + .setName(nameOfArgDescriptor) + .setArgType(proposalOutsideType.getDescriptor().getArgType()) + .setArgIndex(proposalOutsideType.getDescriptor().getArgIndex()) + .setIsArray(proposalOutsideType.getDescriptor().getIsArray()) + .setConvertBoolToInt(proposalOutsideType.getDescriptor().getConvertBoolToInt()) + .build() + ); + }); + + + return proposalsOutsideType; + } + + + public static boolean matchesArrayArgDeclaration(String testLine) { + boolean ret = Pattern.matches(ARRAY_ASSIGNMENT,testLine); + return ret; + } + + public static boolean matchesArgDeclaration(String argType,String testLine) { + Matcher matcher = Pattern.compile(argType + ARGUMENT_ENDING_PATTERN).matcher(testLine); + Matcher argOnly = Pattern.compile(argType + ARGUMENT_PATTERN).matcher(testLine); + // Matcher arrArg = Pattern.compile(argType + ARGUMENT_PATTERN) + boolean ret = matcher.find(); + boolean argOnlyResult = argOnly.find(); + return ret || testLine.contains("?") && argOnlyResult + || testLine.contains("static_cast") && argOnlyResult + || (testLine.contains("))") && argOnlyResult && !testLine.contains("if") && !testLine.contains("REQUIRE_TRUE")) && !testLine.contains("->rankOf()") + || (testLine.contains("==") && argOnlyResult && !testLine.contains("if") && !testLine.contains("REQUIRE_TRUE")) && !testLine.contains("->rankOf()") + || (testLine.contains("(" + argType) && argOnlyResult && !testLine.contains("if") && !testLine.contains("REQUIRE_TRUE")) && !testLine.contains("->rankOf()") + || (testLine.contains("->") && argOnlyResult && !testLine.contains("if") && !testLine.contains("REQUIRE_TRUE")) && !testLine.contains("->rankOf()"); + } + +} diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/JavaSourceArgDescriptorSource.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/JavaSourceArgDescriptorSource.java new file mode 100644 index 000000000..d4216e925 --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/JavaSourceArgDescriptorSource.java @@ -0,0 +1,875 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor.proposal.impl; + +import com.github.javaparser.ParserConfiguration; +import com.github.javaparser.StaticJavaParser; +import com.github.javaparser.ast.CompilationUnit; +import com.github.javaparser.ast.body.ConstructorDeclaration; +import com.github.javaparser.ast.body.FieldDeclaration; +import com.github.javaparser.ast.expr.MethodCallExpr; +import com.github.javaparser.resolution.declarations.ResolvedConstructorDeclaration; +import com.github.javaparser.resolution.declarations.ResolvedFieldDeclaration; +import com.github.javaparser.resolution.declarations.ResolvedParameterDeclaration; +import com.github.javaparser.symbolsolver.JavaSymbolSolver; +import com.github.javaparser.symbolsolver.resolution.typesolvers.CombinedTypeSolver; +import com.github.javaparser.symbolsolver.resolution.typesolvers.JavaParserTypeSolver; +import com.github.javaparser.symbolsolver.resolution.typesolvers.ReflectionTypeSolver; +import com.github.javaparser.utils.Log; +import com.github.javaparser.utils.SourceRoot; +import lombok.Builder; +import lombok.Getter; +import org.nd4j.autodiff.functions.DifferentialFunction; +import org.nd4j.autodiff.samediff.SDVariable; +import org.nd4j.common.primitives.Counter; +import org.nd4j.common.primitives.CounterMap; +import org.nd4j.common.primitives.Pair; +import org.nd4j.descriptor.proposal.ArgDescriptorProposal; +import org.nd4j.descriptor.proposal.ArgDescriptorSource; +import org.nd4j.ir.OpNamespace; +import org.nd4j.linalg.api.ndarray.INDArray; +import org.nd4j.linalg.api.ops.*; +import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp; +import org.reflections.Reflections; + +import java.io.File; +import java.lang.reflect.Modifier; +import java.util.*; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.stream.Collectors; + +import static org.nd4j.descriptor.proposal.impl.ArgDescriptorParserUtils.*; + +public class JavaSourceArgDescriptorSource implements ArgDescriptorSource { + + + private SourceRoot sourceRoot; + private File nd4jOpsRootDir; + private double weight; + + /** + * void addTArgument(double... arg); + * + * void addIArgument(int... arg); + * + * void addIArgument(long... arg); + * + * void addBArgument(boolean... arg); + * + * void addDArgument(DataType... arg); + */ + + public final static String ADD_T_ARGUMENT_INVOCATION = "addTArgument"; + public final static String ADD_I_ARGUMENT_INVOCATION = "addIArgument"; + public final static String ADD_B_ARGUMENT_INVOCATION = "addBArgument"; + public final static String ADD_D_ARGUMENT_INVOCATION = "addDArgument"; + public final static String ADD_INPUT_ARGUMENT = "addInputArgument"; + public final static String ADD_OUTPUT_ARGUMENT = "addOutputArgument"; + @Getter + private Map opTypes; + static { + Log.setAdapter(new Log.StandardOutStandardErrorAdapter()); + + } + + @Builder + public JavaSourceArgDescriptorSource(File nd4jApiRootDir,double weight) { + this.sourceRoot = initSourceRoot(nd4jApiRootDir); + this.nd4jOpsRootDir = nd4jApiRootDir; + if(opTypes == null) { + opTypes = new HashMap<>(); + } + + this.weight = weight; + } + + public Map> doReflectionsExtraction() { + Map> ret = new HashMap<>(); + + Reflections reflections = new Reflections("org.nd4j"); + Set> subTypesOf = reflections.getSubTypesOf(DifferentialFunction.class); + Set> subTypesOfOp = reflections.getSubTypesOf(CustomOp.class); + Set> allClasses = new HashSet<>(); + allClasses.addAll(subTypesOf); + allClasses.addAll(subTypesOfOp); + Set opNamesForDifferentialFunction = new HashSet<>(); + + + for(Class clazz : allClasses) { + if(Modifier.isAbstract(clazz.getModifiers()) || clazz.isInterface()) { + continue; + } + + processClazz(ret, opNamesForDifferentialFunction, clazz); + + } + + + return ret; + } + + private void processClazz(Map> ret, Set opNamesForDifferentialFunction, Class clazz) { + try { + Object funcInstance = clazz.newInstance(); + String name = null; + + if(funcInstance instanceof DifferentialFunction) { + DifferentialFunction differentialFunction = (DifferentialFunction) funcInstance; + name = differentialFunction.opName(); + } else if(funcInstance instanceof CustomOp) { + CustomOp customOp = (CustomOp) funcInstance; + name = customOp.opName(); + } + + + if(name == null) + return; + opNamesForDifferentialFunction.add(name); + if(!(funcInstance instanceof DynamicCustomOp)) + opTypes.put(name,OpNamespace.OpDescriptor.OpDeclarationType.LEGACY_XYZ); + else + opTypes.put(name,OpNamespace.OpDescriptor.OpDeclarationType.CUSTOM_OP_IMPL); + + + String fileName = clazz.getName().replace(".",File.separator); + StringBuilder fileBuilder = new StringBuilder(); + fileBuilder.append(fileName); + fileBuilder.append(".java"); + CounterMap,Integer> paramIndicesCount = new CounterMap<>(); + + // Our sample is in the root of this directory, so no package name. + CompilationUnit cu = sourceRoot.parse(clazz.getPackage().getName(), clazz.getSimpleName() + ".java"); + cu.findAll(MethodCallExpr.class).forEach(method -> { + String methodInvoked = method.getNameAsString(); + final AtomicInteger indexed = new AtomicInteger(0); + //need to figure out how to consolidate multiple method calls + //as well as the right indices + //typical patterns in the code base will reflect adding arguments all at once + //one thing we can just check for is if more than 1 argument is passed in and + //treat that as a complete list of arguments + if(methodInvoked.equals(ADD_T_ARGUMENT_INVOCATION)) { + method.getArguments().forEach(argument -> { + if(argument.isNameExpr()) + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.DOUBLE),indexed.get(),100.0); + else if(argument.isMethodCallExpr()) { + if(argument.asMethodCallExpr().getName().toString().equals("ordinal")) { + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.DOUBLE),indexed.get(),100.0); + + } + } + indexed.incrementAndGet(); + }); + } else if(methodInvoked.equals(ADD_B_ARGUMENT_INVOCATION)) { + method.getArguments().forEach(argument -> { + if(argument.isNameExpr()) + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.BOOL),indexed.get(),100.0); + else if(argument.isMethodCallExpr()) { + if(argument.asMethodCallExpr().getName().equals("ordinal")) { + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.BOOL),indexed.get(),100.0); + } + } + indexed.incrementAndGet(); + }); + } else if(methodInvoked.equals(ADD_I_ARGUMENT_INVOCATION)) { + method.getArguments().forEach(argument -> { + if(argument.isNameExpr()) + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.INT64),indexed.get(),100.0); + else if(argument.isMethodCallExpr()) { + if(argument.asMethodCallExpr().getName().toString().equals("ordinal")) { + paramIndicesCount.incrementCount(Pair.of(argument.toString().replace(".ordinal()",""), OpNamespace.ArgDescriptor.ArgType.INT64),indexed.get(),100.0); + + } + } + + indexed.incrementAndGet(); + }); + } else if(methodInvoked.equals(ADD_D_ARGUMENT_INVOCATION)) { + method.getArguments().forEach(argument -> { + if(argument.isNameExpr()) + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.DATA_TYPE),indexed.get(),100.0); + else if(argument.isMethodCallExpr()) { + if(argument.asMethodCallExpr().getName().toString().equals("ordinal")) { + paramIndicesCount.incrementCount(Pair.of(argument.toString().replace(".ordinal()",""), OpNamespace.ArgDescriptor.ArgType.DATA_TYPE),indexed.get(),100.0); + + } + } + indexed.incrementAndGet(); + }); + } else if(methodInvoked.equals(ADD_INPUT_ARGUMENT)) { + method.getArguments().forEach(argument -> { + if(argument.isNameExpr()) + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR),indexed.get(),100.0); + else if(argument.isMethodCallExpr()) { + if(argument.asMethodCallExpr().getName().toString().equals("ordinal")) { + paramIndicesCount.incrementCount(Pair.of(argument.toString().replace(".ordinal()",""), OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR),indexed.get(),100.0); + + } + } + indexed.incrementAndGet(); + }); + } else if(methodInvoked.equals(ADD_OUTPUT_ARGUMENT)) { + method.getArguments().forEach(argument -> { + if(argument.isNameExpr()) + paramIndicesCount.incrementCount(Pair.of(argument.asNameExpr().getNameAsString(), OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR),indexed.get(),100.0); + else if(argument.isMethodCallExpr()) { + if(argument.asMethodCallExpr().getName().toString().equals("ordinal")) { + paramIndicesCount.incrementCount(Pair.of(argument.toString().replace(".ordinal()",""), OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR),indexed.get(),100.0); + + } + } + indexed.incrementAndGet(); + }); + } + + } + ); + + + + + List collect = cu.findAll(ConstructorDeclaration.class).stream() + .map(input -> input.resolve()) + .filter(constructor -> constructor.getNumberOfParams() > 0) + .distinct() + .collect(Collectors.toList()); + + //only process final constructor with all arguments for indexing purposes + Counter constructorArgCount = new Counter<>(); + collect.stream().filter(input -> input != null).forEach(constructor -> { + constructorArgCount.incrementCount(constructor,constructor.getNumberOfParams()); + }); + + if(constructorArgCount.argMax() != null) + collect = Arrays.asList(constructorArgCount.argMax()); + + List argDescriptorProposals = ret.get(name); + if(argDescriptorProposals == null) { + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + } + + Set parameters = new LinkedHashSet<>(); + + int floatIdx = 0; + int inputIdx = 0; + int outputIdx = 0; + int intIdx = 0; + int boolIdx = 0; + + for(ResolvedConstructorDeclaration parameterDeclaration : collect) { + floatIdx = 0; + inputIdx = 0; + outputIdx = 0; + intIdx = 0; + boolIdx = 0; + for(int i = 0; i < parameterDeclaration.getNumberOfParams(); i++) { + ResolvedParameterDeclaration param = parameterDeclaration.getParam(i); + OpNamespace.ArgDescriptor.ArgType argType = argTypeForParam(param); + if(isValidParam(param)) { + parameters.add(param); + switch(argType) { + case INPUT_TENSOR: + paramIndicesCount.incrementCount(Pair.of(param.getName(),argType), inputIdx, 100.0); + inputIdx++; + break; + case INT64: + case INT32: + paramIndicesCount.incrementCount(Pair.of(param.getName(), OpNamespace.ArgDescriptor.ArgType.INT64), intIdx, 100.0); + intIdx++; + break; + case DOUBLE: + case FLOAT: + paramIndicesCount.incrementCount(Pair.of(param.getName(), OpNamespace.ArgDescriptor.ArgType.FLOAT), floatIdx, 100.0); + paramIndicesCount.incrementCount(Pair.of(param.getName(), OpNamespace.ArgDescriptor.ArgType.DOUBLE), floatIdx, 100.0); + floatIdx++; + break; + case BOOL: + paramIndicesCount.incrementCount(Pair.of(param.getName(),argType), boolIdx, 100.0); + boolIdx++; + break; + case OUTPUT_TENSOR: + paramIndicesCount.incrementCount(Pair.of(param.getName(),argType), outputIdx, 100.0); + outputIdx++; + break; + case UNRECOGNIZED: + continue; + + } + + } + } + } + + floatIdx = 0; + inputIdx = 0; + outputIdx = 0; + intIdx = 0; + boolIdx = 0; + Set>> typesAndParams = parameters.stream().map(collectedParam -> + Pair.of(collectedParam.describeType(), collectedParam.getName())) + .collect(Collectors.groupingBy(input -> input.getSecond())).entrySet() + .stream() + .map(inputPair -> inputPair.getValue()) + .collect(Collectors.toSet()); + + + Set constructorNamesEncountered = new HashSet<>(); + List finalArgDescriptorProposals = argDescriptorProposals; + typesAndParams.forEach(listOfTypesAndNames -> { + + listOfTypesAndNames.forEach(parameter -> { + if(typeNameOrArrayOfTypeNameMatches(parameter.getFirst(),SDVariable.class.getName(),INDArray.class.getName())) { + constructorNamesEncountered.add(parameter.getValue()); + if(outputNames.contains(parameter.getValue())) { + Counter counter = paramIndicesCount.getCounter(Pair.of(parameter.getSecond(), OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR)); + if(counter != null) + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99.0 * (counter == null ? 1 : counter.size())) + .sourceOfProposal("java") + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) + .setName(parameter.getSecond()) + .setIsArray(parameter.getFirst().contains("[]") || parameter.getFirst().contains("...")) + .setArgIndex(counter.argMax()) + .build()).build()); + + } else { + Counter counter = paramIndicesCount.getCounter(Pair.of(parameter.getSecond(), OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)); + if(counter != null) + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99.0 * (counter == null ? 1 : counter.size())) + .sourceOfProposal("java") + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName(parameter.getSecond()) + .setIsArray(parameter.getFirst().contains("[]") || parameter.getFirst().contains("...")) + .setArgIndex(counter.argMax()) + .build()).build()); + } + } else if(typeNameOrArrayOfTypeNameMatches(parameter.getFirst(),int.class.getName(),long.class.getName(),Integer.class.getName(),Long.class.getName()) || paramIsEnum(parameter.getFirst())) { + constructorNamesEncountered.add(parameter.getValue()); + + Counter counter = paramIndicesCount.getCounter(Pair.of(parameter.getSecond(), OpNamespace.ArgDescriptor.ArgType.INT64)); + if(counter != null) + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0 * (counter == null ? 1 : counter.size())) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName(parameter.getSecond()) + .setIsArray(parameter.getFirst().contains("[]") || parameter.getFirst().contains("...")) + .setArgIndex(counter.argMax()) + .build()).build()); + } else if(typeNameOrArrayOfTypeNameMatches(parameter.getFirst(),float.class.getName(),double.class.getName(),Float.class.getName(),Double.class.getName())) { + constructorNamesEncountered.add(parameter.getValue()); + Counter counter = paramIndicesCount.getCounter(Pair.of(parameter.getSecond(), OpNamespace.ArgDescriptor.ArgType.FLOAT)); + if(counter != null) + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0 * (counter == null ? 1 :(counter == null ? 1 : counter.size()) )) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName(parameter.getSecond()) + .setIsArray(parameter.getFirst().contains("[]")) + .setArgIndex(counter.argMax()) + .build()).build()); + } else if(typeNameOrArrayOfTypeNameMatches(parameter.getFirst(),boolean.class.getName(),Boolean.class.getName())) { + constructorNamesEncountered.add(parameter.getValue()); + Counter counter = paramIndicesCount.getCounter(Pair.of(parameter.getSecond(), OpNamespace.ArgDescriptor.ArgType.BOOL)); + if(counter != null) + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0 * (counter == null ? 1 :(counter == null ? 1 : counter.size()) )) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName(parameter.getSecond()) + .setIsArray(parameter.getFirst().contains("[]")) + .setArgIndex(counter.argMax()) + .build()).build()); + } + }); + }); + + + + + List fields = cu.findAll(FieldDeclaration.class).stream() + .map(input -> getResolve(input)) + //filter fields + .filter(input -> input != null && !input.isStatic()) + .collect(Collectors.toList()); + floatIdx = 0; + inputIdx = 0; + outputIdx = 0; + intIdx = 0; + boolIdx = 0; + + for(ResolvedFieldDeclaration field : fields) { + if(!constructorNamesEncountered.contains(field.getName()) && typeNameOrArrayOfTypeNameMatches(field.getType().describe(),SDVariable.class.getName(),INDArray.class.getName())) { + if(outputNames.contains(field.getName())) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) + .setName(field.getName()) + .setIsArray(field.getType().describe().contains("[]")) + .setArgIndex(outputIdx) + .build()).build()); + outputIdx++; + } else if(!constructorNamesEncountered.contains(field.getName())){ + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName(field.getName()) + .setIsArray(field.getType().describe().contains("[]")) + .setArgIndex(inputIdx) + .build()).build()); + inputIdx++; + } + } else if(!constructorNamesEncountered.contains(field.getName()) && typeNameOrArrayOfTypeNameMatches(field.getType().describe(),int.class.getName(),long.class.getName(),Long.class.getName(),Integer.class.getName())) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName(field.getName()) + .setIsArray(field.getType().describe().contains("[]")) + .setArgIndex(intIdx) + .build()).build()); + intIdx++; + } else if(!constructorNamesEncountered.contains(field.getName()) && typeNameOrArrayOfTypeNameMatches(field.getType().describe(),double.class.getName(),float.class.getName(),Double.class.getName(),Float.class.getName())) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName(field.getName()) + .setIsArray(field.getType().describe().contains("[]")) + .setArgIndex(floatIdx) + .build()).build()); + floatIdx++; + } else if(!constructorNamesEncountered.contains(field.getName()) && typeNameOrArrayOfTypeNameMatches(field.getType().describe(),Boolean.class.getName(),boolean.class.getName())) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(99.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName(field.getName()) + .setIsArray(field.getType().describe().contains("[]")) + .setArgIndex(boolIdx) + .build()).build()); + boolIdx++; + } + } + + if(funcInstance instanceof BaseReduceOp || + funcInstance instanceof BaseReduceBoolOp || funcInstance instanceof BaseReduceSameOp) { + if(!containsProposalWithDescriptorName("keepDims",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("keepDims") + .setIsArray(false) + .setArgIndex(boolIdx) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("dimensions") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + + if(!containsProposalWithDescriptorName("dimensions",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("dimensions") + .setIsArray(true) + .setArgIndex(0) + .build()).build()); + + } + } + + if(funcInstance instanceof BaseDynamicTransformOp) { + if(!containsProposalWithDescriptorName("inPlace",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("inPlace") + .setIsArray(false) + .setArgIndex(boolIdx) + .build()).build()); + } + } + + //hard coded case, impossible to parse from as the code exists today, and it doesn't exist anywhere in the libnd4j code base + if(name.contains("maxpool2d")) { + if(!containsProposalWithDescriptorName("extraParam0",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("extraParam0") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("extraParam0") + .setIsArray(false) + .setArgIndex(9) + .build()).build()); + } + } + + + + if(name.contains("fill")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("shape") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("result") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + } + + if(name.contains("loop_cond")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("input") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + } + + + if(name.equals("top_k")) { + if(!containsProposalWithDescriptorName("sorted",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("sorted") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("sorted") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + } + + //dummy output tensor + if(name.equals("next_iteration")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) + .setName("output").build()) + .build()); + } + + if(!containsOutputTensor(argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("z") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) + .setName("z") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("gather")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("axis") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("axis") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("pow")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("pow") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("pow") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("concat")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("isDynamicAxis") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("isDynamicAxis") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("concatDimension") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("isDynamicAxis") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("merge")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setIsArray(true) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("inputs").build()) + .build()); + } + + + + if(name.equals("split") || name.equals("split_v")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numSplit") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numSplit") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("reshape")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("shape") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("shape") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("shape") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("shape") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + } + + if(name.equals("create")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("outputType") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("order") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("outputType") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("eye")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numRows") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numRows") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numCols") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numCols") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("batchDimension") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("batchDimension") + .setIsArray(true) + .setArgIndex(2) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("dataType") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("dataType") + .setIsArray(false) + .setArgIndex(3) + .build()).build()); + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("dataType") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName("dataType") + .setIsArray(true) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("while") || name.equals("enter") || name.equals("exit") || name.equals("next_iteration") + || name.equals("loop_cond") || name.equals("switch") || name.equals("While")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.STRING) + .setName("frameName").build()) + .build()); + } + + if(name.equals("resize_bilinear")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("alignCorners").build()) + .build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(1) + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("halfPixelCenters").build()) + .build()); + } + + if(funcInstance instanceof BaseTransformSameOp || funcInstance instanceof BaseTransformOp || funcInstance instanceof BaseDynamicTransformOp) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dataType").build()) + .build()); + } + + + } catch(Exception e) { + e.printStackTrace(); + } + } + + + private static ResolvedFieldDeclaration getResolve(FieldDeclaration input) { + try { + return input.resolve(); + }catch(Exception e) { + return null; + } + } + + + private SourceRoot initSourceRoot(File nd4jApiRootDir) { + CombinedTypeSolver typeSolver = new CombinedTypeSolver(); + typeSolver.add(new ReflectionTypeSolver(false)); + typeSolver.add(new JavaParserTypeSolver(nd4jApiRootDir)); + JavaSymbolSolver symbolSolver = new JavaSymbolSolver(typeSolver); + StaticJavaParser.getConfiguration().setSymbolResolver(symbolSolver); + SourceRoot sourceRoot = new SourceRoot(nd4jApiRootDir.toPath(),new ParserConfiguration().setSymbolResolver(symbolSolver)); + return sourceRoot; + } + + @Override + public Map> getProposals() { + return doReflectionsExtraction(); + } + + @Override + public OpNamespace.OpDescriptor.OpDeclarationType typeFor(String name) { + return opTypes.get(name); + } +} diff --git a/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/Libnd4jArgDescriptorSource.java b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/Libnd4jArgDescriptorSource.java new file mode 100644 index 000000000..fb234c1fa --- /dev/null +++ b/contrib/codegen-tools/libnd4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/Libnd4jArgDescriptorSource.java @@ -0,0 +1,1721 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + +package org.nd4j.descriptor.proposal.impl; + +import lombok.Builder; +import lombok.Getter; +import lombok.SneakyThrows; +import lombok.val; +import org.nd4j.common.base.Preconditions; +import org.nd4j.descriptor.OpDeclarationDescriptor; +import org.nd4j.descriptor.proposal.ArgDescriptorProposal; +import org.nd4j.descriptor.proposal.ArgDescriptorSource; +import org.nd4j.ir.OpNamespace; + +import java.io.File; +import java.io.IOException; +import java.nio.file.FileVisitOption; +import java.nio.file.Files; +import java.util.*; +import java.util.regex.Pattern; +import java.util.stream.Collectors; + +import static org.nd4j.descriptor.proposal.impl.ArgDescriptorParserUtils.*; + + +public class Libnd4jArgDescriptorSource implements ArgDescriptorSource { + + private String libnd4jPath; + private File libnd4jRootDir; + private double weight; + + public final static String OP_IMPL = "OP_IMPL"; + public final static String DIVERGENT_OP_IMPL = "DIVERGENT_OP_IMPL"; + public final static String CONFIGURABLE_OP_IMPL = "CONFIGURABLE_OP_IMPL"; + public final static String REDUCTION_OP_IMPL = "REDUCTION_OP_IMPL"; + public final static String BROADCASTABLE_OP_IMPL = "BROADCASTABLE_OP_IMPL"; + public final static String BROADCASTABLE_BOOL_OP_IMPL = "BROADCASTABLE_BOOL_OP_IMPL"; + public final static String PLATFORM_IMPL = "PLATFORM_IMPL"; + public final static String RETURN = "return"; + public final static String INT_ARG = "INT_ARG"; + public final static String I_ARG = "I_ARG"; + public final static String INPUT_VARIABLE = "INPUT_VARIABLE"; + public final static String OUTPUT_VARIABLE = "OUTPUT_VARIABLE"; + public final static String OUTPUT_NULLIFIED = "OUTPUT_NULLIFIED"; + public final static String INPUT_LIST = "INPUT_LIST"; + public final static String T_ARG = "T_ARG"; + public final static String B_ARG = "B_ARG"; + public final static String DECLARE_SYN = "DECLARE_SYN"; + public final static String DEFAULT_LIBND4J_DIRECTORY = "../../../libnd4j"; + public final static int BROADCASTABLE_OP_IMPL_DEFAULT_NIN = 2; + public final static int BROADCASTABLE_OP_IMPL_DEFAULT_NOUT = 1; + public final static String CUSTOM_OP_IMPL = "CUSTOM_OP_IMPL"; + public final static String BOOLEAN_OP_IMPL = "BOOLEAN_OP_IMPL"; + public final static String LIST_OP_IMPL = "LIST_OP_IMPL"; + public final static String LOGIC_OP_IMPL = "LOGIC_OP_IMPL"; + //note this allows either a declaration like: auto variableNum = SOME_DECLARATION(0); or auto variableNum = SOME_DECLARATION(0) == 1; + public final static String ARG_DECLARATION = "(\\w+\\s)+\\w+\\s*=\\s*[A-Z]+_[A-Z]+\\(\\d+\\);"; + public final static String ARG_BOOL_EQUALS_DECLARATION = "(\\w+\\s)+\\w+\\s*=\\s*[A-Z]+_[A-Z]+\\(\\d+\\)\\s*==\\s*\\d+;"; + public final static String ARG_DECLARATION_WITH_VARIABLE = "(\\w+\\s)+\\w+\\s*=\\s*[A-Z]+_[A-Z]+\\([\\d\\w\\+-*\\/]+);"; + public final static String ARRAY_ASSIGNMENT = "\\w+\\[[\\w\\d]\\]\\s*=\\s*[A-Z]+_[A-Z]+\\s*\\([\\w\\d\\+\\-\\*\\/\\s]+\\);"; + + @Builder.Default + @Getter + private Map opTypes = new HashMap<>(); + + @Builder + public Libnd4jArgDescriptorSource(String libnd4jPath,double weight) { + if(libnd4jPath == null) + libnd4jPath = "../libnd4j"; + if(weight == 0) + weight = 999; + this.weight = weight; + libnd4jRootDir = new File(libnd4jPath); + } + + + + @SneakyThrows + public Map> doExtractArgDescriptors() { + Map> ret = new HashMap<>(); + List opDeclarationDescriptors = new ArrayList<>(); + Map descriptorMap = new HashMap<>(); + //only include/ops the include directory, otherwise other misc folders get scanned + Files.walk(new File(libnd4jRootDir,"include/ops").toPath(), new FileVisitOption[]{ + FileVisitOption.FOLLOW_LINKS + }).filter(path -> path.toFile().getAbsolutePath().endsWith(".cpp")).forEach(path -> { + try { + List lines = Files.readAllLines(path); + boolean inOpBlock = false; + boolean foundOp = false; + boolean oneLineOp = false; + List inArgNames = new ArrayList<>(); + List outArgNames = new ArrayList<>(); + List tArgNames = new ArrayList<>(); + List iArgNames = new ArrayList<>(); + List bArgNames = new ArrayList<>(); + List inArgIndices = new ArrayList<>(); + List outArgIndices = new ArrayList<>(); + List tArgIndices = new ArrayList<>(); + List iArgIndices = new ArrayList<>(); + List bArgIndices = new ArrayList<>(); + + OpDeclarationDescriptor opDeclarationDescriptor = null; + OpDeclarationDescriptor.OpDeclarationDescriptorBuilder builder = OpDeclarationDescriptor.builder(); + int currentOpNin = -1,currentOpNout = -1,currentOpIntArgs = -1,currentOutTArgs = -1, currentOpBooleanArgs = -1; + boolean hasNin = false,hasNout = false,hasIntArgs = false,hasTArgs = false,platformImpl = false; + List argDescriptorProposals = null; + int currLineIdx = 0; + String name = null; + for (String line : lines) { + if(line.trim().isEmpty() || line.trim().startsWith("//") || line.trim().length() == 1 || line.trim().isEmpty()) { + currLineIdx++; + continue; + } + + if(!inOpBlock) { + if (line.contains(CUSTOM_OP_IMPL)) { + // CUSTOM_OP_IMPL(NAME, NIN, NOUT, INPLACEABLE, TARGS, IARGS) + foundOp = true; + line = removeBracesFromDeclarationMacro(line, CUSTOM_OP_IMPL); + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.CUSTOM_OP_IMPL); + + + + argDescriptorProposals = new ArrayList<>(); + + if(!name.equals("randomuniform")) + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(9999999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dtype") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + else { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(9999999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dataType") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("split")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numSplit") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + + if(name.equals("resize_bilinear")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("alignCorners").build()) + .build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(1) + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("halfPixelCenters").build()) + .build()); + } + + if(name.equals("split_v")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numSplit") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numSplit") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("concat")) { + //isAxisInLastArr + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("isAxisInLastArr") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("isDynamicAxis") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("concatDimension") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("concatDimension") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("dynamic_partition") || name.equals("dynamic_stitch")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numPartitions") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numPartitions") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + } + + + if(name.equals("dilation2d")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("isSameMode") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("isSameMode") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("rates") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("rates") + .setIsArray(true) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("strides") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("strides") + .setIsArray(true) + .setArgIndex(2) + .build()).build()); + + } + + + + if(name.equals("extract_image_patches")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("isSameMode") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.BOOL) + .setName("isSameMode") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + } + + + if(name.equals("bincount")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("outputType") + .setIsArray(true) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("values") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("weights") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("min") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("max") + .setIsArray(false) + .setArgIndex(3) + .build()).build()); + + } + + if(name.equals("max_pool_with_argmax")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("kH") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("kW") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("sH") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("sW") + .setIsArray(false) + .setArgIndex(3) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("pH") + .setIsArray(false) + .setArgIndex(4) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("pW") + .setIsArray(false) + .setArgIndex(5) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("dH") + .setIsArray(false) + .setArgIndex(6) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("dW") + .setIsArray(false) + .setArgIndex(7) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("sameMode") + .setIsArray(false) + .setArgIndex(8) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("extraParam0") + .setIsArray(false) + .setArgIndex(9) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("isNHWC") + .setIsArray(false) + .setArgIndex(10) + .build()).build()); + } + + + + + if(name.equals("reshape")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("shapeArr") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("shape") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + } + + if(name.equals("lin_space")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("dataType") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dataType") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + } + + + if(name.equals("create")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("outputType") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("order") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("outputType") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("extract_image_patches")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("isSameMode") + .setIsArray(false) + .setArgIndex(6) + .build()).build()); + } + + if(name.equals("eye")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numRows") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numRows") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numCols") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("numCols") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("batchDimension") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("batchDimension") + .setIsArray(true) + .setArgIndex(2) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("dataType") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("dataType") + .setIsArray(false) + .setArgIndex(3) + .build()).build()); + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName("dataType") + .setIsArray(true) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("range")) { + List finalArgDescriptorProposals = argDescriptorProposals; + Arrays.asList(OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR, OpNamespace.ArgDescriptor.ArgType.INT64).forEach( + dataType -> { + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(dataType) + .setName("from") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(dataType) + .setName("to") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + finalArgDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(dataType) + .setName("step") + .setIsArray(true) + .setArgIndex(2) + .build()).build()); + } + ); + + + } + + if(name.equals("onehot")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("input") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("input") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("axis") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("depth") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("on") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("on") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("off") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("off") + .setIsArray(true) + .setArgIndex(3) + .build()).build()); + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("axis") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("axis") + .setIsArray(true) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("depth") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("depth") + .setIsArray(true) + .setArgIndex(1) + .build()).build()); + + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("on") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName("on") + .setIsArray(true) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("off") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName("off") + .setIsArray(true) + .setArgIndex(1) + .build()).build()); + + } + + if(name.equals("non_max_suppression")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("maxOutputSize") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("maxOutputSize") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + } + + if(name.equals("pad")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("mode") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("mode") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("range")) { + //add limit since it's not parseable and is primed to be ignored + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("l") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("l") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("l") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DOUBLE) + .setName("l") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("l") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("l") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + if(name.equals("repeat")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("dimensions") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("dimensions") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if (name.equals("decode_bitmap")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("start") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("dilation2d")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("isSameMode") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("rates") + .setIsArray(true) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("strides") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("strides") + .setIsArray(true) + .setArgIndex(2) + .build()).build()); + } + + if(name.equals("standardize_bp")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("dimensions") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("dimensions") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("eps") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("eps") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + } + + if(name.contains("fill")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("shape") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("java") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("result") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + } + + if(name.contains("unsorted_")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("c++") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("input") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("c++") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("idxSegments") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("c++") + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("numSegments") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + + + } + + + if(name.equals("lin_space")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("start") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("start") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("finish") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("finish") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("numOfElements") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("numOfElements") + .setIsArray(false) + .setArgIndex(2) + .build()).build()); + } + + if(name.equals("embedding_lookup")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("input") + .proposalWeight(9999999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("input") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("indices") + .proposalWeight(9999999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("indices") + .setIsArray(false) + .setArgIndex(1) + .build()).build()); + } + + + ret.put(name,argDescriptorProposals); + int nIn = Integer.parseInt(split[1].trim()); + int nOut = Integer.parseInt(split[2].trim()); + currentOpNin = nIn; + currentOpNout = nOut; + hasNin = true; + hasNout = true; + boolean inplaceAble = Boolean.parseBoolean(split[3].trim()); + int tArgs = Integer.parseInt(split[4].trim()); + int iArgs = Integer.parseInt(split[5].trim()); + + currentOpIntArgs = iArgs; + currentOutTArgs = tArgs; + hasIntArgs = true; + hasTArgs = true; + + builder.name(name) + .opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.CUSTOM_OP_IMPL) + .nIn(nIn).nOut(nOut) + .inplaceAble(inplaceAble) + .iArgs(iArgs).tArgs(tArgs); + + inOpBlock = true; + + } else if(line.contains(BOOLEAN_OP_IMPL)) { + // BOOLEAN_OP_IMPL(NAME, NIN, SCALAR) + foundOp = true; + if(line.contains(");")) { + oneLineOp = true; + } + + line = removeBracesFromDeclarationMacro(line, BOOLEAN_OP_IMPL); + + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.BOOLEAN_OP_IMPL); + + // BOOLEAN_OP_IMPL(NAME, NIN, SCALAR) + int nIn = Integer.parseInt(split[1].trim()); + currentOpNin = nIn; + hasNin = true; + boolean inplaceAble = Boolean.parseBoolean(split[2].trim()); + builder.name(name).opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.BOOLEAN_OP_IMPL) + .nIn(nIn) + .inplaceAble(inplaceAble); + + inOpBlock = true; + } else if(line.contains(LIST_OP_IMPL)) { + // LIST_OP_IMPL(NAME, NIN, NOUT, TARGS, IARGS) + foundOp = true; + line = removeBracesFromDeclarationMacro(line, LIST_OP_IMPL); + + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.LIST_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + int nIn = Integer.parseInt(split[1].trim()); + int nOut = Integer.parseInt(split[2].trim()); + currentOpNin = nIn; + currentOpNout = nOut; + hasNin = true; + hasNout = true; + int tArgs = Integer.parseInt(split[3].trim()); + int iArgs = Integer.parseInt(split[4].trim()); + + currentOpIntArgs = iArgs; + currentOutTArgs = tArgs; + hasIntArgs = true; + hasTArgs = true; + + builder.name(name).opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.LIST_OP_IMPL) + .nIn(nIn).nOut(nOut) + .iArgs(iArgs).tArgs(tArgs); + + inOpBlock = true; + + if(name.equals("split_list") || name.equals("scatter_list")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("list").build()) + .build()); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(1) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("array").build()) + .build()); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(Double.MAX_VALUE) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(2) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("sizes").build()) + .build()); + + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dtype") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("read_list")) { + //importDataType + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("importDataType") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + if(name.equals("gather_list") || name.equals("stack_list") || name.equals("split_list")) { + //importDataType + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("cpp") + .proposalWeight(Double.POSITIVE_INFINITY) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dtype") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + + } else if(line.contains(LOGIC_OP_IMPL)) { + // LOGIC_OP_IMPL(NAME) + foundOp = true; + if(line.contains(");")) + oneLineOp = true; + line = removeBracesFromDeclarationMacro(line, LOGIC_OP_IMPL); + + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.LOGIC_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + builder.name(name) + .opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.LOGIC_OP_IMPL); + + inOpBlock = true; + //dummy output for import + if(name.equals("While") || name.equals("Switch") | name.equals("Conditional")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) + .setName("output").build()) + .build()); + } + + if(name.equals("merge")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(99999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setIsArray(true) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("inputs").build()) + .build()); + } + + //dummy input for import + if(name.equals("While")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) + .setName("condition").build()) + .build()); + } + + if(name.equals("while") || name.equals("enter") || name.equals("exit") || name.equals("next_iteration") + || name.equals("loop_cond") || name.equals("switch") || name.equals("While")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder().setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.STRING) + .setName("frameName").build()) + .build()); + } + + + } else if(line.contains(DIVERGENT_OP_IMPL)) { + foundOp = true; + //DIVERGENT_OP_IMPL(NAME, NIN, NOUT, INPLACEABLE) + line = removeBracesFromDeclarationMacro(line, DIVERGENT_OP_IMPL); + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.DIVERGENT_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + int nIn = Integer.parseInt(split[1].trim()); + int nOut = Integer.parseInt(split[2].trim()); + currentOpNin = nIn; + currentOpNout = nOut; + hasNin = true; + hasNout = true; + boolean inplaceAble = Boolean.parseBoolean(split[3].trim()); + builder.name(name).opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.DIVERGENT_OP_IMPL) + .nIn(nIn).nOut(nOut) + .inplaceAble(inplaceAble); + + inOpBlock = true; + } else if(line.contains(CONFIGURABLE_OP_IMPL)) { + // CONFIGURABLE_OP_IMPL(NAME, NIN, NOUT, INPLACEABLE, TARGS, IARGS) + foundOp = true; + line = removeBracesFromDeclarationMacro(line, CONFIGURABLE_OP_IMPL); + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.CONFIGURABLE_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + int nIn = Integer.parseInt(split[1].trim()); + int nOut = Integer.parseInt(split[2].trim()); + currentOpNin = nIn; + currentOpNout = nOut; + hasNin = true; + hasNout = true; + boolean inplaceAble = Boolean.parseBoolean(split[3].trim()); + int tArgs = Integer.parseInt(split[4].trim()); + int iArgs = Integer.parseInt(split[5].trim()); + + hasIntArgs = true; + hasTArgs = true; + + builder.name(name) + .opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.CONFIGURABLE_OP_IMPL) + .nIn(nIn).nOut(nOut) + .inplaceAble(inplaceAble) + .iArgs(iArgs).tArgs(tArgs); + + inOpBlock = true; + if(name.equals("relu6")) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.DATA_TYPE) + .setName("dtype") + .build()) + .sourceOfProposal("cpp").proposalWeight(999999.0) + .build()); + } + + } else if(line.contains(REDUCTION_OP_IMPL)) { + //REDUCTION_OP_IMPL(NAME, NIN, NOUT, INPLACEABLE, TARGS, IARGS) + foundOp = true; + line = removeBracesFromDeclarationMacro(line, REDUCTION_OP_IMPL); + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.REDUCTION_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + + int nIn = Integer.parseInt(split[1].trim()); + int nOut = Integer.parseInt(split[2].trim()); + currentOpNin = nIn; + currentOpNout = nOut; + hasNin = true; + hasNout = true; + boolean inplaceAble = Boolean.parseBoolean(split[3].trim()); + int tArgs = Integer.parseInt(split[4].trim()); + int iArgs = Integer.parseInt(split[5].trim()); + + hasIntArgs = true; + hasTArgs = true; + + builder.name(name).opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.REDUCTION_OP_IMPL) + .nIn(nIn).nOut(nOut) + .inplaceAble(inplaceAble) + .iArgs(iArgs).tArgs(tArgs); + + inOpBlock = true; + } else if(line.contains(BROADCASTABLE_OP_IMPL)) { + //BROADCASTABLE_OP_IMPL(NAME, TARGS, IARGS) + foundOp = true; + line = removeBracesFromDeclarationMacro(line, BROADCASTABLE_OP_IMPL); + + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.BROADCASTABLE_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + int tArgs = Integer.parseInt(split[1].trim()); + int iArgs = Integer.parseInt(split[2].trim()); + + hasTArgs = true; + hasIntArgs = true; + + builder.name(name) + .opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.BROADCASTABLE_OP_IMPL) + .nIn(BROADCASTABLE_OP_IMPL_DEFAULT_NIN) + .nOut(BROADCASTABLE_OP_IMPL_DEFAULT_NOUT) + .iArgs(iArgs).tArgs(tArgs); + + inOpBlock = true; + } else if(line.contains(BROADCASTABLE_BOOL_OP_IMPL)) { + //BROADCASTABLE_BOOL_OP_IMPL(NAME, TARGS, IARGS) + foundOp = true; + line = line.replace(BROADCASTABLE_BOOL_OP_IMPL + "(", ""); + line = line.replace(")", ""); + line = line.replace("{", ""); + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.BROADCASTABLE_BOOL_OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + int tArgs = Integer.parseInt(split[1].trim()); + int iArgs = Integer.parseInt(split[2].trim()); + + currentOpIntArgs = iArgs; + currentOutTArgs = tArgs; + hasIntArgs = true; + hasTArgs = true; + + + builder.name(name) + .opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.BROADCASTABLE_BOOL_OP_IMPL) + .nIn(BROADCASTABLE_OP_IMPL_DEFAULT_NIN) + .nOut(BROADCASTABLE_OP_IMPL_DEFAULT_NOUT) + .iArgs(iArgs).tArgs(tArgs); + + inOpBlock = true; + } else if(line.contains(PLATFORM_IMPL)) { + foundOp = true; + line = removeBracesFromDeclarationMacro(line, PLATFORM_IMPL); + String[] split = line.trim().split(","); + name = split[0]; + //sometimes ops can appear more than once per platform, only keep original specification in this case + if(name != null && !opTypes.containsKey(name)) + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.PLATFORM_IMPL); + + builder.name(name) + .opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.PLATFORM_IMPL); + inOpBlock = true; + hasNin = true; + hasNout = true; + platformImpl = true; + } + + else if(line.contains(OP_IMPL)) { + //OP_IMPL(NAME, NIN, NOUT, INPLACEABLE) + foundOp = true; + line = removeBracesFromDeclarationMacro(line, OP_IMPL); + String[] split = line.trim().split(","); + name = split[0]; + opTypes.put(name, OpNamespace.OpDescriptor.OpDeclarationType.OP_IMPL); + + argDescriptorProposals = new ArrayList<>(); + ret.put(name,argDescriptorProposals); + int nIn = Integer.parseInt(split[1].trim()); + int nOut = Integer.parseInt(split[2].trim()); + currentOpNin = nIn; + currentOpNout = nOut; + hasNin = true; + hasNout = true; + boolean inplaceAble = Boolean.parseBoolean(split[3].trim()); + builder.name(name).opDeclarationType(OpDeclarationDescriptor.OpDeclarationType.OP_IMPL) + .nIn(nIn).nOut(nOut) + .inplaceAble(inplaceAble); + + inOpBlock = true; + } + } + + line = line.trim(); + + //reset just in case we encounter another op in the file + //TODO: End of block needs to detect short circuits + if (inOpBlock && line.contains(RETURN) && endOfBlock(currLineIdx,lines) || oneLineOp) { + //reset op after 1 is found and current code block ends + if (foundOp) { + if(outArgNames.isEmpty()) { + outArgNames.add("output"); + outArgIndices.add(0); + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgIndex(0) + .setArgType(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR) + .setName("output") + .build()) + .sourceOfProposal("cpp").proposalWeight(999999.0) + .build()); + } + + builder.inArgNames(inArgNames); + builder.outArgNames(outArgNames); + builder.tArgNames(tArgNames); + builder.iArgNames(iArgNames); + builder.bArgNames(bArgNames); + + opDeclarationDescriptor = builder.build(); + System.out.println(opDeclarationDescriptor); + + opDeclarationDescriptors.add(opDeclarationDescriptor); + + if (opDeclarationDescriptor != null) { + System.out.println("Op descriptor " + opDeclarationDescriptor); + System.out.println("Input arg name " + inArgNames); + System.out.println("Output arg names " + outArgNames); + System.out.println("T Arg names " + tArgNames); + System.out.println("Integer arg names " + iArgNames); + System.out.println("Boolean arg names " + bArgNames); + opDeclarationDescriptor.validate(); + } + } + + descriptorMap.put(opDeclarationDescriptor.getName(), opDeclarationDescriptor); + + inOpBlock = false; + foundOp = false; + oneLineOp = false; + opDeclarationDescriptor = null; + builder = OpDeclarationDescriptor.builder(); + //clear list references + inArgNames = new ArrayList<>(); + outArgNames = new ArrayList<>(); + tArgNames = new ArrayList<>(); + iArgNames = new ArrayList<>(); + bArgNames = new ArrayList<>(); + + iArgIndices = new ArrayList<>(); + bArgIndices = new ArrayList<>(); + inArgIndices = new ArrayList<>(); + tArgIndices = new ArrayList<>(); + outArgIndices = new ArrayList<>(); + + currentOpNin = -1; + currentOpNout = -1; + hasNin = false; + hasNout = false; + hasIntArgs = false; + hasTArgs = false; + currentOpBooleanArgs = -1; + currentOpIntArgs = -1; + currentOutTArgs = -1; + platformImpl = false; + argDescriptorProposals = new ArrayList<>(); + } + + if (inOpBlock) { + if(argDescriptorProposals == null) + argDescriptorProposals = new ArrayList<>(); + if (line.isEmpty()) { + //ignore + /** + * Need to add case for array matching. + */ + } + + if (matchesArgDeclaration(INT_ARG,line)) { + processLine(iArgNames, iArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.INT64,name); + //hard coded case, impossible to parse from as the code exists today, and it doesn't exist anywhere in the libnd4j code base + if(name.contains("maxpool2d")) { + if(!containsProposalWithDescriptorName("extraParam0",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("extraParam0") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("extraParam0") + .setIsArray(false) + .setArgIndex(9) + .build()).build()); + } + } + + if(name.equals("top_k")) { + if(!containsProposalWithDescriptorName("sorted",argDescriptorProposals)) { + argDescriptorProposals.add(ArgDescriptorProposal.builder() + .sourceOfProposal("sorted") + .proposalWeight(9999.0) + .descriptor(OpNamespace.ArgDescriptor.newBuilder() + .setArgType(OpNamespace.ArgDescriptor.ArgType.INT64) + .setName("sorted") + .setIsArray(false) + .setArgIndex(0) + .build()).build()); + } + } + + + } + + if (matchesArgDeclaration(OUTPUT_NULLIFIED,line) + || matchesArgDeclaration(OUTPUT_VARIABLE,line) && !line.contains("->rankOf()")) { + processLine(outArgNames, outArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR,name); + + } + if (matchesArgDeclaration(T_ARG,line) && !line.contains("INT")) { + processLine(tArgNames, tArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.DOUBLE, name); + } + if (!line.contains("->rankOf()") && !line.contains("->dataType()") && matchesArgDeclaration(INPUT_VARIABLE,line) || matchesArgDeclaration(INPUT_LIST,line)) { + processLine(inArgNames,inArgIndices,argDescriptorProposals,line, OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR, name); + } + + if (matchesArgDeclaration(B_ARG,line)) { + processLine(bArgNames, bArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.BOOL,name); + } + if(matchesArrayArgDeclaration(line.trim())) { + if(line.contains(INT_ARG)) + processArrayLine(iArgNames, iArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.INT64); + + if(line.contains(OUTPUT_NULLIFIED) || line.contains(OUTPUT_VARIABLE)) { + processArrayLine(outArgNames, outArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR); + } if(line.contains(T_ARG) && !line.contains("INT")) { + processArrayLine(tArgNames, tArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.DOUBLE); + } if(line.contains(B_ARG)) { + processArrayLine(bArgNames, bArgIndices, argDescriptorProposals, line, OpNamespace.ArgDescriptor.ArgType.BOOL); + + } + } + } + + //add alias descriptors + if (line.contains(DECLARE_SYN)) { + line = removeBracesFromDeclarationMacro(line, DECLARE_SYN); + String[] args2 = line.split(","); + String aliasFor = args2[1].trim(); + String newKey = args2[0].trim(); + if(descriptorMap.isEmpty()) { + throw new IllegalStateException("Descriptor map should not be empty here"); + } + + OpDeclarationDescriptor.OpDeclarationDescriptorBuilder opDescriptor2 = descriptorMap.get(aliasFor).toBuilder(); + + opDescriptor2.name(newKey); + OpDeclarationDescriptor newDescriptor = opDescriptor2.build(); + opDeclarationDescriptors.add(newDescriptor); + descriptorMap.put(args2[1],newDescriptor); + } + + currLineIdx++; + } + + + } catch (IOException e) { + e.printStackTrace(); + } + }); + + + + return ret; + + } + + private boolean endOfBlock(int lineIndex,List lines) { + if(lineIndex < lines.size() - 2) { + for(int i = lineIndex; i < lines.size() - 2; i++) { + //could be last brace + if(lines.get(i + 1).trim().equals("}") + || lines.get(i + 1).trim().equals("};") + || lines.get(i + 1).isEmpty() || lines.get(i + 1).trim().isEmpty()) { + continue; + } + if(lines.get(i + 1).contains("DECLARE_TYPES") || + lines.get(i + 1).contains("DECLARE_SHAPE_FN")|| + lines.get(i + 1).contains("DECLARE_SYN") || + lines.get(i).contains("DECLARE_TYPES") || + lines.get(i).contains("DECLARE_SHAPE_FN")|| + lines.get(i).contains("DECLARE_SYN") || + lines.get(i + 1).contains("OP_") + || lines.get( i + 1).contains("////")) { + return true; + } else if(!lines.get(i + 1).contains("DECLARE_TYPES") + || !lines.get(i + 1).contains("DECLARE_SHAPE_FN") + || !lines.get(i + 1).contains("DECLARE_SYN") + || !lines.get(i + 1).contains("OP_") + || !lines.get( i + 1).contains("////")) { + return false; + } + } + } + + return true; + + } + + private String argDeclarationForType(OpNamespace.ArgDescriptor.ArgType argType) { + switch(argType) { + case INPUT_TENSOR: + return INPUT_VARIABLE; + case INT32: + case INT64: + return INT_ARG; + case FLOAT: + case DOUBLE: + return T_ARG; + case BOOL: + return B_ARG; + case OUTPUT_TENSOR: + return OUTPUT_VARIABLE; + case DATA_TYPE: + case UNRECOGNIZED: + default: + throw new IllegalArgumentException("Processing illegal type " + argType); + + } + } + + + private void processArrayLine(List iArgNames, List iArgIndices, + List argDescriptorProposals, + String line, OpNamespace.ArgDescriptor.ArgType argType) { + String[] split = line.split(" = "); + if(split.length == 1) { + //invalid line + return; + } + + String[] arrSplit = split[0].split(" "); + String name = arrSplit[0].replaceAll("\\[.*\\]",""); + Preconditions.checkState(!name.isEmpty()); + ArgDescriptorParserUtils.addArrayNameToList(line, iArgNames, iArgIndices, argDeclarationForType(argType)); + + + OpNamespace.ArgDescriptor argDescriptor = OpNamespace.ArgDescriptor.newBuilder() + .setArgType(argType) + .setIsArray(true) + .setConvertBoolToInt(argType == OpNamespace.ArgDescriptor.ArgType.BOOL || line.contains("B_ARG")) + .setName(name) + .setArgIndex(-1).build(); + + double weightToIncrementBy = weight * 1000000; + ArgDescriptorProposal argDescriptorProposal = ArgDescriptorProposal.builder() + .descriptor(argDescriptor) + .sourceLine(line) + .sourceOfProposal("cpp") + .proposalWeight(weightToIncrementBy) + .build(); + argDescriptorProposals.add(argDescriptorProposal); + } + + + private void processLine(List iArgNames, List iArgIndices, + List argDescriptorProposals, + String line, OpNamespace.ArgDescriptor.ArgType argType, String opName) { + boolean matchesPureDeclaration = Pattern.matches(ARG_DECLARATION,line) || Pattern.matches(ARG_BOOL_EQUALS_DECLARATION,line) || Pattern.matches(ARRAY_ASSIGNMENT,line); + String[] split = line.split("\\s*=\\s*"); + if(split.length == 1) { + //invalid line + return; + } + + String[] arrSplit = split[0].split(" "); + //type + name + Integer index = extractArgFromCpp(line, argDeclarationForType(argType)); + //guess index based on current number of indices already added + if(index < 0) { + index = iArgIndices.size(); + } + + + ArgDescriptorParserUtils.addNameToList(line, iArgNames, iArgIndices, argDeclarationForType(argType)); + //note sometimes we have individual array entries for names, we need to strip out index indicators like [i] + String argName = arrSplit[arrSplit.length - 1].replaceAll("\\[.*\\]",""); + if(containsProposalWithDescriptorName(argName,argDescriptorProposals)) { + val descriptor = getDescriptorWithName(argName,argDescriptorProposals); + //don't add already encountered indices if one is already greater. + if(descriptor != null) { + return; + } + } + + + Preconditions.checkState(!argName.isEmpty()); + //more than a typename variable name present + if(arrSplit.length > 2) { + //skip type + for(int i = 1; i < arrSplit.length; i++) { + //handle inline comments + arrSplit[i] = arrSplit[i].trim(); + arrSplit[i] = arrSplit[i].replace(";",""); + if(isValidIdentifier(arrSplit[i])) { + argName = arrSplit[i]; + Preconditions.checkState(!argName.isEmpty()); + break; + } + } + } + + Preconditions.checkState(!argName.isEmpty()); + + OpNamespace.ArgDescriptor argDescriptor = OpNamespace.ArgDescriptor.newBuilder() + .setArgType(argType) + .setConvertBoolToInt(argType == OpNamespace.ArgDescriptor.ArgType.BOOL && !line.contains("B_ARG")) + .setName(argName) + .setArgIndex(index).build(); + double weightToIncrementBy = matchesPureDeclaration ? weight * 1000000 : weight; + if(line.contains("->")) { + weightToIncrementBy -= 100000; + } + + ArgDescriptorProposal argDescriptorProposal = ArgDescriptorProposal.builder() + .descriptor(argDescriptor) + .sourceOfProposal("cpp") + .sourceLine(line) + .proposalWeight(weightToIncrementBy) + .build(); + argDescriptorProposals.add(argDescriptorProposal); + + //remove duplicate proposals and only take the max index ensuring all parameters are accounted for + val groupedByName = argDescriptorProposals.stream().collect(Collectors.groupingBy(proposal -> proposal.getDescriptor().getName())); + List toRemove = new ArrayList<>(); + if(!bannedMaxIndexOps.contains(opName)) + for(Map.Entry> proposals : groupedByName.entrySet()) { + if(proposals.getValue().size() > 1) { + ArgDescriptorProposal max = null; + for(ArgDescriptorProposal proposal : proposals.getValue()) { + if(max == null) + max = proposal; + else if(max.getDescriptor().getArgIndex() < proposal.getDescriptor().getArgIndex()) { + //slate for removal and set new max + toRemove.add(max); + max = proposal; + } + } + + } + } + + argDescriptorProposals.removeAll(toRemove); + + } + + @Override + public Map> getProposals() { + return doExtractArgDescriptors(); + } + + @Override + public OpNamespace.OpDescriptor.OpDeclarationType typeFor(String name) { + return opTypes.get(name); + } +} diff --git a/contrib/codegen-tools/onnx-def-gen/README.md b/contrib/codegen-tools/onnx-def-gen/README.md new file mode 100644 index 000000000..62a8eb8b0 --- /dev/null +++ b/contrib/codegen-tools/onnx-def-gen/README.md @@ -0,0 +1,19 @@ +Onnx op definition loading +--------------------------------- + +Setup +------- +Use anaconda and install onnx: +``` +conda install onnx +``` + +Generate a file +--------------------- +``` +python onnx_def_gen.py +``` + +This will generate a file with all op definitions +loadable as NodeProto in onnx serialized as a text file +split by --\n. diff --git a/contrib/codegen-tools/onnx-def-gen/lenet.onnx b/contrib/codegen-tools/onnx-def-gen/lenet.onnx new file mode 100644 index 000000000..c858b347d Binary files /dev/null and b/contrib/codegen-tools/onnx-def-gen/lenet.onnx differ diff --git a/contrib/codegen-tools/onnx-def-gen/onnx-op-defs.pb b/contrib/codegen-tools/onnx-def-gen/onnx-op-defs.pb new file mode 100644 index 000000000..023f31b24 Binary files /dev/null and b/contrib/codegen-tools/onnx-def-gen/onnx-op-defs.pb differ diff --git a/contrib/codegen-tools/onnx-def-gen/onnx.pbtxt b/contrib/codegen-tools/onnx-def-gen/onnx.pbtxt new file mode 100644 index 000000000..5fa814d06 --- /dev/null +++ b/contrib/codegen-tools/onnx-def-gen/onnx.pbtxt @@ -0,0 +1,6004 @@ +input: "X" +output: "Y" +name: "Abs" +op_type: "Abs" +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nAbsolute takes one input data (Tensor) and produces one output data\n(Tensor) where the absolute is, y = abs(x), is applied to\nthe tensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Acos" +op_type: "Acos" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the arccosine (inverse of cosine) of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Acosh" +op_type: "Acosh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic arccosine of the given input tensor element-wise.\n" +----f +input: "R" +input: "T" +input: "inputs" +output: "outputs" +name: "Adagrad" +op_type: "Adagrad" +attribute { + name: "decay_factor" + f: 0.0 + type: FLOAT +} +attribute { + name: "epsilon" + f: 1e-06 + type: FLOAT +} +attribute { + name: "norm_coefficient" + f: 0.0 + type: FLOAT +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + type: STRINGS +} +attribute { + name: "T-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "inputs-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "\n Compute one iteration of ADAGRAD, a stochastic gradient based optimization\n algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n Let\'s define the behavior of this operator. As you can imagine, ADAGRAD requires\n some parameters:\n \n - The initial learning-rate \"R\".\n - The update count \"T\". That is, the number of training iterations conducted.\n - A L2-norm regularization coefficient \"norm_coefficient\".\n - A learning-rate decay factor \"decay_factor\".\n - A small constant \"epsilon\" to avoid dividing-by-zero. \n\n At each ADAGRAD iteration, the optimized tensors are moved along a direction\n computed based on their estimated gradient and accumulated squared gradient. Assume\n that only a single tensor \"X\" is updated by this operator. We need the value of \"X\",\n its gradient \"G\", and its accumulated squared gradient \"H\". Therefore, variables in\n this operator\'s input list are sequentially \"R\", \"T\", \"X\", \"G\", and \"H\". Other\n parameters are given as attributes because they are usually constants. Also, the\n corresponding output tensors are the new value of \"X\" (called \"X_new\"), and then\n the new accumulated squared gradient (called \"H_new\"). Those outputs are computed\n from the given inputs following the pseudo code below.\n\n Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n // Compute a scalar learning-rate factor. At the first update of X, T is generally\n // 0 (0-based update index) or 1 (1-based update index).\n r = R / (1 + T * decay_factor);\n\n // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n G_regularized = norm_coefficient * X + G;\n\n // Compute new accumulated squared gradient.\n H_new = H + G_regularized * G_regularized;\n\n // Compute the adaptive part of per-coordinate learning rate. Note that Sqrt(...)\n // computes element-wise square-root.\n H_adaptive = Sqrt(H_new) + epsilon\n\n // Compute the new value of \"X\".\n X_new = X - r * G_regularized / H_adaptive;\n\n If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\", the same\n pseudo code may be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n be concatenated too) and then just reuse the entire pseudo code.\n\n Note that ADAGRAD was first proposed in http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf.\n In that reference paper, this operator is a special case of the Figure 1\'s composite mirror\n descent update.\n" +----f +input: "R" +input: "T" +input: "inputs" +output: "outputs" +name: "Adam" +op_type: "Adam" +attribute { + name: "alpha" + f: 0.9 + type: FLOAT +} +attribute { + name: "beta" + f: 0.999 + type: FLOAT +} +attribute { + name: "epsilon" + f: 1e-06 + type: FLOAT +} +attribute { + name: "norm_coefficient" + f: 0.0 + type: FLOAT +} +attribute { + name: "norm_coefficient_post" + f: 0.0 + type: FLOAT +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + type: STRINGS +} +attribute { + name: "T-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "inputs-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "\n Compute one iteration of Adam, a stochastic gradient based optimization\n algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n Let\'s define the behavior of this operator. First of all, Adam requires\n some parameters:\n \n - The learning-rate \"R\".\n - The update count \"T\". That is, the number of training iterations conducted.\n - A L2-norm regularization coefficient \"norm_coefficient\".\n - A small constant \"epsilon\" to avoid dividing-by-zero. \n - Two coefficients, \"alpha\" and \"beta\".\n\n At each Adam iteration, the optimized tensors are moved along a direction\n computed based on their exponentially-averaged historical gradient and\n exponentially-averaged historical squared gradient. Assume that only a tensor\n \"X\" is being optimized. The rest of required information is\n \n - the value of \"X\",\n - \"X\"\'s gradient (denoted by \"G\"),\n - \"X\"\'s exponentially-averaged historical gradient (denoted by \"V\"), and\n - \"X\"\'s exponentially-averaged historical squared gradient (denoted by \"H\").\n\n Some of those parameters are passed into this operator as input tensors and others\n are stored as this operator\'s attributes. Specifically, this operator\'s input tensor\n list is [\"R\", \"T\", \"X\", \"G\", \"V\", \"H\"]. That is, \"R\" is the first input, \"T\" is\n the second input, and so on. Other parameters are given as attributes because they\n are constants. Moreover, the corresponding output tensors are \n \n - the new value of \"X\" (called \"X_new\"),\n - the new exponentially-averaged historical gradient (denoted by \"V_new\"), and\n - the new exponentially-averaged historical squared gradient (denoted by \"H_new\").\n\n Those outputs are computed following the pseudo code below.\n\n Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n G_regularized = norm_coefficient * X + G\n\n // Update exponentially-averaged historical gradient.\n V_new = alpha * V + (1 - alpha) * G_regularized\n\n // Update exponentially-averaged historical squared gradient.\n H_new = beta * H + (1 - beta) * G_regularized * G_regularized\n\n // Compute the element-wise square-root of H_new. V_new will be element-wisely\n // divided by H_sqrt for a better update direction.\n H_sqrt = Sqrt(H_new) + epsilon\n\n // Compute learning-rate. Note that \"alpha**T\"/\"beta**T\" is alpha\'s/beta\'s T-th power.\n R_adjusted = T > 0 ? R * Sqrt(1 - beta**T) / (1 - alpha**T) : R\n\n // Compute new value of \"X\".\n X_new = X - R_adjusted * V_new / H_sqrt\n\n // Post-update regularization.\n X_final = (1 - norm_coefficient_post) * X_new \n\n If there are multiple inputs to be optimized, the pseudo code will be applied\n independently to each of them.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Add" +op_type: "Add" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary addition (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "And" +op_type: "And" +attribute { + name: "A-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "B-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `and` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "data" +output: "reduced" +name: "ArgMax" +op_type: "ArgMax" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "select_last_index" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the indices of the max elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the max \nis selected if the max appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer." +----f +input: "data" +output: "reduced" +name: "ArgMin" +op_type: "ArgMin" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "select_last_index" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the indices of the min elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the min \nis selected if the min appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer." +----f +input: "X" +input: "Y" +output: "Z" +name: "ArrayFeatureExtractor" +op_type: "ArrayFeatureExtractor" +attribute { + name: "X-types" + strings: "int32" + strings: "string" + strings: "double" + strings: "int64" + strings: "float" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "int64" + type: STRINGS +} +doc_string: "\n Select elements of the input tensor based on the indices passed.
\n The indices are applied to the last axes of the tensor.\n" +----f +input: "input" +output: "output" +name: "Asin" +op_type: "Asin" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the arcsine (inverse of sine) of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Asinh" +op_type: "Asinh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic arcsine of the given input tensor element-wise.\n" +----f +input: "input" +output: "output" +name: "Atan" +op_type: "Atan" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the arctangent (inverse of tangent) of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Atanh" +op_type: "Atanh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic arctangent of the given input tensor element-wise.\n" +----f +input: "X" +output: "Y" +name: "AveragePool" +op_type: "AveragePool" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "ceil_mode" + i: 0 + type: INT +} +attribute { + name: "count_include_pad" + i: 0 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n AveragePool consumes an input tensor X and applies average pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n average pooling consisting of computing the average on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - kernel_spatial_shape[i] + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + kernel_spatial_shape[i] - input_spatial_shape[i]\n ```\n The output of each pooling window is divided by the number of elements (exclude pad when attribute count_include_pad is zero).\n " +----f +input: "X" +input: "scale" +input: "B" +input: "mean" +input: "var" +output: "Y" +output: "mean" +output: "var" +output: "saved_mean" +output: "saved_var" +name: "BatchNormalization" +op_type: "BatchNormalization" +attribute { + name: "epsilon" + f: 1e-05 + type: FLOAT +} +attribute { + name: "momentum" + f: 0.9 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "scale-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "mean-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "var-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCarries out batch normalization as described in the paper\nhttps://arxiv.org/abs/1502.03167. Depending on the mode it is being run,\nthere are multiple cases for the number of outputs, which we list below:\n\nOutput case #1: Y, mean, var, saved_mean, saved_var (training mode)\nOutput case #2: Y (test mode)\n\nFor previous (depreciated) non-spatial cases, implementors are suggested\nto flatten the input shape to (N x C*D1*D2 ..*Dn) before a BatchNormalization Op.\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "X" +output: "Y" +name: "Binarizer" +op_type: "Binarizer" +attribute { + name: "threshold" + f: 0.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.\n" +----f +input: "X" +input: "Y" +output: "Z" +name: "BitShift" +op_type: "BitShift" +attribute { + name: "direction" + s: "" + type: STRING +} +attribute { + name: "X-types" + strings: "uint32" + strings: "uint16" + strings: "uint8" + strings: "uint64" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "uint32" + strings: "uint16" + strings: "uint8" + strings: "uint64" + type: STRINGS +} +doc_string: "\nBitwise shift operator performs element-wise operation. For each input element, if the\n attribute \"direction\" is \"RIGHT\", this operator moves its binary representation toward\n the right side so that the input value is effectively decreased. If the attribute \"direction\"\n is \"LEFT\", bits of binary representation moves toward the left side, which results the\n increase of its actual value. The input X is the tensor to be shifted and another input\n Y specifies the amounts of shifting. For example, if \"direction\" is \"Right\", X is [1, 4],\n and S is [1, 1], the corresponding output Z would be [0, 2]. If \"direction\" is \"LEFT\" with\n X=[1, 2] and S=[1, 2], the corresponding output Y would be [2, 8].\n \n Because this operator supports Numpy-style broadcasting, X\'s and Y\'s shapes are\n not necessarily identical.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)." +----f +input: "input" +output: "output" +name: "Cast" +op_type: "Cast" +attribute { + name: "to" + s: "" + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nThe operator casts the elements of a given input tensor to a data type\nspecified by the \'to\' argument and returns an output tensor of the same size in\nthe converted type. The \'to\' argument must be one of the data types specified\nin the \'DataType\' enum field in the TensorProto message.\n\nCasting from string tensor in plain (e.g., \"3.14\" and \"1000\") and scientific numeric representations\n(e.g., \"1e-5\" and \"1E8\") to float types is supported. For example, converting string \"100.5\" to an integer may\nresult 100. There are some string literals reserved for special floating-point values;\n\"+INF\" (and \"INF\"), \"-INF\", and \"NaN\" are positive infinity, negative infinity, and not-a-number, respectively.\nAny string which can exactly match \"+INF\" in a case-insensitive way would be mapped to positive infinite. Similarly,\nthis case-insensitive rule is applied to \"INF\" and \"NaN\". When casting from numeric tensors\nto string tensors, plain floating-point representation (such as \"314.15926\") would be used. \nConverting non-numerical-literal string such as \"Hello World!\" is an undefined behavior. Cases \nof converting string representing floating-point arithmetic value, such as \"2.718\", to INT is an undefined behavior.\n\nConversion from a numerical type to any numerical type is always allowed.\nUser must be aware of precision loss and value change caused by range difference between two types.\nFor example, a 64-bit float 3.1415926459 may be round to a 32-bit float 3.141592. Similarly, converting\nan integer 36 to Boolean may produce 1 because we truncate bits which can\'t be stored in the targeted type.\n" +----f +input: "X" +output: "Y" +name: "CastMap" +op_type: "CastMap" +attribute { + name: "cast_to" + s: "TO_FLOAT" + type: STRING +} +attribute { + name: "map_form" + s: "DENSE" + type: STRING +} +attribute { + name: "max_map" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "map(int64,string" + strings: "map(int64,float" + type: STRINGS +} +doc_string: "\n Converts a map to a tensor.
The map key must be an int64 and the values will be ordered\n in ascending order based on this key.
The operator supports dense packing or sparse packing.\n If using sparse packing, the key cannot exceed the max_map-1 value.\n" +----f +input: "X" +output: "Y" +name: "CategoryMapper" +op_type: "CategoryMapper" +attribute { + name: "cats_int64s" + s: "" + type: INTS +} +attribute { + name: "cats_strings" + s: "" + type: STRINGS +} +attribute { + name: "default_int64" + i: -1 + type: INT +} +attribute { + name: "default_string" + s: "_Unused" + type: STRING +} +attribute { + name: "X-types" + strings: "string" + strings: "int64" + type: STRINGS +} +doc_string: "\n Converts strings to integers and vice versa.
\n Two sequences of equal length are used to map between integers and strings,\n with strings and integers at the same index detailing the mapping.
\n Each operator converts either integers to strings or strings to integers, depending \n on which default value attribute is provided. Only one default value attribute\n should be defined.
\n If the string default value is set, it will convert integers to strings.\n If the int default value is set, it will convert strings to integers.\n" +----f +input: "X" +output: "Y" +name: "Ceil" +op_type: "Ceil" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCeil takes one input data (Tensor) and produces one output data\n(Tensor) where the ceil is, y = ceil(x), is applied to\nthe tensor elementwise.\n" +----f +input: "X" +output: "Y" +name: "Celu" +op_type: "Celu" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + type: STRINGS +} +doc_string: "\nContinuously Differentiable Exponential Linear Units:\nPerform the linear unit element-wise on the input tensor X\nusing formula: \n\n```\nmax(0,x) + min(0,alpha*(exp(x/alpha)-1))\n```\n" +----f +input: "input" +input: "min" +input: "max" +output: "output" +name: "Clip" +op_type: "Clip" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "min-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "max-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nClip operator limits the given input within an interval. The interval is\nspecified by the inputs \'min\' and \'max\'. They default to\nnumeric_limits::lowest() and numeric_limits::max(), respectively.\n" +----f +input: "input" +input: "condition" +output: "output" +name: "Compress" +op_type: "Compress" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "condition-types" + strings: "bool" + type: STRINGS +} +doc_string: "\n Selects slices from an input tensor along a given axis where condition evaluates to True for each axis index.\n In case axis is not provided, input is flattened before elements are selected.\n Compress behaves like numpy.compress: https://docs.scipy.org/doc/numpy/reference/generated/numpy.compress.html\n " +----f +input: "inputs" +output: "concat_result" +name: "Concat" +op_type: "Concat" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "Concatenate a list of tensors into a single tensor. All input tensors must have the same shape, except for the dimension size of the axis to concatenate on." +----f +input: "input_sequence" +output: "concat_result" +name: "ConcatFromSequence" +op_type: "ConcatFromSequence" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "new_axis" + i: 0 + type: INT +} +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +doc_string: "\nConcatenate a sequence of tensors into a single tensor.\nAll input tensors must have the same shape, except for the dimension size of the axis to concatenate on.\nBy default \'new_axis\' is 0, the behavior is similar to numpy.concatenate.\nWhen \'new_axis\' is 1, the behavior is similar to numpy.stack.\n" +----f +output: "output" +name: "Constant" +op_type: "Constant" +attribute { + name: "sparse_value" + s: "" + type: SPARSE_TENSOR +} +attribute { + name: "value" + s: "" + type: TENSOR +} +attribute { + name: "value_float" + s: "" + type: FLOAT +} +attribute { + name: "value_floats" + s: "" + type: FLOATS +} +attribute { + name: "value_int" + s: "" + type: INT +} +attribute { + name: "value_ints" + s: "" + type: INTS +} +attribute { + name: "value_string" + s: "" + type: STRING +} +attribute { + name: "value_strings" + s: "" + type: STRINGS +} +doc_string: "\nThis operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,\nor value_* must be specified.\n" +----f +input: "input" +output: "output" +name: "ConstantOfShape" +op_type: "ConstantOfShape" +attribute { + name: "value" + s: "" + type: TENSOR +} +attribute { + name: "input-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nGenerate a tensor with given value and shape.\n" +----f +input: "X" +input: "W" +input: "B" +output: "Y" +name: "Conv" +op_type: "Conv" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe convolution operator consumes an input tensor and a filter, and\ncomputes the output." +----f +input: "x" +input: "w" +input: "x_zero_point" +input: "w_zero_point" +output: "y" +name: "ConvInteger" +op_type: "ConvInteger" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "x-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "x_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nThe integer convolution operator consumes an input tensor, its zero-point, a filter, and its zero-point,\nand computes the output. The production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n" +----f +input: "X" +input: "W" +input: "B" +output: "Y" +name: "ConvTranspose" +op_type: "ConvTranspose" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "output_padding" + s: "" + type: INTS +} +attribute { + name: "output_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe convolution transpose operator consumes an input tensor and a filter,\nand computes the output.\n\nIf the pads parameter is provided the shape of the output is calculated via the following equation:\n\n output_shape[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - pads[start_i] - pads[end_i]\n\noutput_shape can also be explicitly specified in which case pads values are auto generated using these equations:\n\n total_padding[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - output_shape[i]\n If (auto_pads != SAME_UPPER): pads[start_i] = total_padding[i]/2; pads[end_i] = total_padding[i] - (total_padding[i]/2)\n Else: pads[start_i] = total_padding[i] - (total_padding[i]/2); pads[end_i] = (total_padding[i]/2).\n\n " +----f +input: "input" +output: "output" +name: "Cos" +op_type: "Cos" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the cosine of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Cosh" +op_type: "Cosh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic cosine of the given input tensor element-wise.\n" +----f +input: "x" +input: "axis" +output: "y" +name: "CumSum" +op_type: "CumSum" +attribute { + name: "exclusive" + i: 0 + type: INT +} +attribute { + name: "reverse" + i: 0 + type: INT +} +attribute { + name: "x-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "axis-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nPerforms cumulative sum of the input elements along the given axis.\nBy default, it will do the sum inclusively meaning the first element is copied as is.\nThrough an `exclusive` attribute, this behavior can change to exclude the first element.\nIt can also perform summation in the opposite direction of the axis. For that, set `reverse` attribute to 1.\n\nExample:\n```\ninput_x = [1, 2, 3]\naxis=0\noutput = [1, 3, 6]\nexclusive=1\noutput = [0, 1, 3]\nexclusive=0\nreverse=1\noutput = [6, 5, 3]\nexclusive=1\nreverse=1\noutput = [5, 3, 0]\n```\n " +----f +input: "input" +output: "output" +name: "DepthToSpace" +op_type: "DepthToSpace" +attribute { + name: "blocksize" + s: "" + type: INT +} +attribute { + name: "mode" + s: "DCR" + type: STRING +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "DepthToSpace rearranges (permutes) data from depth into blocks of spatial data.\nThis is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of\nthe input tensor where values from the depth dimension are moved in spatial blocks to the height\nand width dimensions. By default, `mode` = `DCR`.\nIn the DCR mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: depth, column, and then row. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, blocksize, blocksize, c // (blocksize**2), h, w])\n\ntmp = np.transpose(tmp, [0, 3, 4, 1, 5, 2])\n\ny = np.reshape(tmp, [b, c // (blocksize**2), h * blocksize, w * blocksize])\n\n\nIn the CRD mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: column, row, and the depth. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, c // (blocksize ** 2), blocksize, blocksize, h, w])\n\ntmp = np.transpose(tmp, [0, 1, 4, 2, 5, 3])\n\ny = np.reshape(tmp, [b, c // (blocksize ** 2), h * blocksize, w * blocksize])\n\n" +----f +input: "x" +input: "x_scale" +input: "x_zero_point" +output: "y" +name: "DequantizeLinear" +op_type: "DequantizeLinear" +attribute { + name: "x-types" + strings: "int32" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "x_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "x_zero_point-types" + strings: "int32" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nThe linear dequantization operator. It consumes a quantized tensor, a scale, a zero point to compute the full precision tensor.\nThe dequantization formula is y = (x - x_zero_point) * x_scale. \'x_scale\' and \'x_zero_point\' must have same shape.\n\'x_zero_point\' and \'x\' must have same type. \'x\' and \'y\' must have same shape. In the case of dequantizing int32,\nthere\'s no zero point (zero point is supposed to be 0).\n" +----f +input: "X" +output: "Y" +name: "Det" +op_type: "Det" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nDet calculates determinant of a square matrix or batches of square matrices.\nDet takes one input tensor of shape `[*, M, M]`, where `*` is zero or more batch dimensions,\nand the inner-most 2 dimensions form square matrices.\nThe output is a tensor of shape `[*]`, containing the determinants of all input submatrices.\ne.g., When the input is 2-D, the output is a scalar(shape is empty: `[]`).\n" +----f +input: "X" +output: "Y" +name: "DictVectorizer" +op_type: "DictVectorizer" +attribute { + name: "int64_vocabulary" + s: "" + type: INTS +} +attribute { + name: "string_vocabulary" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "map(int64,float" + strings: "map(int64,string" + strings: "map(string,int64" + strings: "map(string,float" + strings: "map(string,double" + strings: "map(int64,double" + type: STRINGS +} +doc_string: "\n Uses an index mapping to convert a dictionary to an array.
\n Given a dictionary, each key is looked up in the vocabulary attribute corresponding to\n the key type. The index into the vocabulary array at which the key is found is then\n used to index the output 1-D tensor \'Y\' and insert into it the value found in the dictionary \'X\'.
\n The key type of the input map must correspond to the element type of the defined vocabulary attribute.\n Therefore, the output array will be equal in length to the index mapping vector parameter.\n All keys in the input dictionary must be present in the index mapping vector.\n For each item in the input dictionary, insert its value in the output array.\n Any keys not present in the input dictionary, will be zero in the output array.
\n For example: if the ``string_vocabulary`` parameter is set to ``[\"a\", \"c\", \"b\", \"z\"]``,\n then an input of ``{\"a\": 4, \"c\": 8}`` will produce an output of ``[4, 8, 0, 0]``.\n " +----f +input: "A" +input: "B" +output: "C" +name: "Div" +op_type: "Div" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary division (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "data" +input: "ratio" +input: "training_mode" +output: "output" +output: "mask" +name: "Dropout" +op_type: "Dropout" +attribute { + name: "seed" + s: "" + type: INT +} +attribute { + name: "data-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "ratio-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "training_mode-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nDropout takes an input floating-point tensor, an optional input ratio (floating-point scalar) and an optional input training_mode (boolean scalar). It produces two tensor outputs,\noutput (floating-point tensor) and mask (optional `Tensor`). If `training_mode` is true then the output Y will be a random dropout;\nNote that this Dropout scales the masked input data by the following equation, so to convert the trained model into inference mode,\nthe user can simply not pass `training_mode` input or set it to false.\n```\noutput = scale * data * mask,\n```\nwhere\n```\nscale = 1. / (1. - ratio).\n```\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "x" +output: "y" +output: "y_scale" +output: "y_zero_point" +name: "DynamicQuantizeLinear" +op_type: "DynamicQuantizeLinear" +attribute { + name: "x-types" + strings: "float" + type: STRINGS +} +doc_string: "\nA Function to fuse calculation for Scale, Zero Point and FP32->8Bit convertion of FP32 Input data.\nOutputs Scale, ZeroPoint and Quantized Input for a given FP32 Input.\nScale is calculated as:\n```\n y_scale = (max(x) - min(x))/(qmax - qmin)\n * where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n * data range is adjusted to include 0.\n```\nZero point is calculated as:\n```\nintermediate_zero_point = qmin - min(x)/y_scale\ny_zero_point = cast(round(saturate(itermediate_zero_point)))\n* where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\nData quantization formula is:\n```\ny = saturate (round (x / y_scale) + y_zero_point)\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\n" +----f +input: "Inputs" +output: "Output" +name: "Einsum" +op_type: "Einsum" +attribute { + name: "equation" + s: "" + type: STRING +} +attribute { + name: "Inputs-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nAn einsum of the form ```term1, term2 -> output-term``` produces an output tensor using the following equation\n\n```output[output-term] = reduce-sum( input1[term1] * input2[term] )```\n\nwhere the reduce-sum performs a summation over all the indices occurring in in the input terms (term1, term2)\nthat do not occur in the output-term.\n\nThe Einsum operator evaluates algebraic tensor operations on a sequence of tensors, using the Einstein summation\nconvention. The equation string contains a comma-separated sequence of lower case letters. Each term corresponds to\nan operand tensor, and the characters within the terms correspond to operands dimensions.\n\nThis sequence may be followed by \"->\" to separate the left and right hand side of the equation.\nIf the equation contains \"->\" followed by the right-hand side, the explicit (not classical) form of the Einstein\nsummation is performed, and the right-hand side indices indicate output tensor dimensions. In other cases,\noutput indices are (implicitly) set to the alphabetically sorted sequence of indices appearing exactly once in the\nequation.\n\nWhen a dimension character is repeated in the left-hand side, it represents summation along the dimension.\n\nThe equation may contain ellipsis (\"...\") to enable broadcasting. Ellipsis must indicate a fixed number of dimensions.\nSpecifically, every occurrence of ellipsis in the equation must represent the same number of dimensions.\nThe right-hand side may contain exactly one ellipsis. In implicit mode, the ellipsis dimensions are set to the\nbeginning of the output. The equation string may contain space (U+0020) character.\n" +----f +input: "X" +output: "Y" +name: "Elu" +op_type: "Elu" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nElu takes one input data (Tensor) and produces one output data\n(Tensor) where the function `f(x) = alpha * (exp(x) - 1.) for x <\n0`, `f(x) = x for x >= 0`., is applied to the tensor elementwise.\n\n" +----f +input: "A" +input: "B" +output: "C" +name: "Equal" +op_type: "Equal" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "input" +output: "output" +name: "Erf" +op_type: "Erf" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the error function of the given input tensor element-wise.\n" +----f +input: "input" +output: "output" +name: "Exp" +op_type: "Exp" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the exponential of the given input tensor, element-wise.\n" +----f +input: "input" +input: "shape" +output: "output" +name: "Expand" +op_type: "Expand" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "shape-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nBroadcast the input tensor following the given shape and the broadcast rule.\nThe broadcast rule is similar to numpy.array(input) * numpy.ones(shape):\nDimensions are right alignment;\nTwo corresponding dimension must have the same value, or one of them is equal to 1.\nAlso, this operator is similar to numpy.broadcast_to(input, shape),\nbut the major difference is numpy.broadcast_to() does not allow shape to be smaller than input.size().\nIt is possible that the output.shape is not equal to shape, when some dimensions in shape is equal to 1,\nor the shape.ndim < input.shape.ndim.\n" +----f +input: "input" +output: "output" +name: "EyeLike" +op_type: "EyeLike" +attribute { + name: "dtype" + s: "" + type: INT +} +attribute { + name: "k" + i: 0 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGenerate a 2D tensor (matrix) with ones on the diagonal and zeros everywhere else. Only 2D\ntensors are supported, i.e. input T1 must be of rank 2. The shape of the output tensor is the\nsame as the input tensor. The data type can be specified by the \'dtype\' argument. If\n\'dtype\' is not specified, then the type of input tensor is used. By default, the main diagonal\nis populated with ones, but attribute \'k\' can be used to populate upper or lower diagonals.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n" +----f +input: "X" +output: "Y" +name: "FeatureVectorizer" +op_type: "FeatureVectorizer" +attribute { + name: "inputdimensions" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Concatenates input tensors into one continuous output.
\n All input shapes are 2-D and are concatenated along the second dimention. 1-D tensors are treated as [1,C].\n Inputs are copied to the output maintaining the order of the input arguments.
\n All inputs must be integers or floats, while the output will be all floating point values.\n" +----f +input: "input" +output: "output" +name: "Flatten" +op_type: "Flatten" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nFlattens the input tensor into a 2D matrix. If input tensor has shape\n(d_0, d_1, ... d_n) then the output will have shape\n(d_0 X d_1 ... d_(axis-1), d_axis X d_(axis+1) ... X dn).\n" +----f +input: "X" +output: "Y" +name: "Floor" +op_type: "Floor" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nFloor takes one input data (Tensor) and produces one output data\n(Tensor) where the floor is, y = floor(x), is applied to\nthe tensor elementwise.\n" +----f +input: "X" +input: "W" +input: "R" +input: "B" +input: "sequence_lens" +input: "initial_h" +output: "Y" +output: "Y_h" +name: "GRU" +op_type: "GRU" +attribute { + name: "activation_alpha" + s: "" + type: FLOATS +} +attribute { + name: "activation_beta" + s: "" + type: FLOATS +} +attribute { + name: "activations" + s: "" + type: STRINGS +} +attribute { + name: "clip" + s: "" + type: FLOAT +} +attribute { + name: "direction" + s: "forward" + type: STRING +} +attribute { + name: "hidden_size" + s: "" + type: INT +} +attribute { + name: "linear_before_reset" + i: 0 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int32" + type: STRINGS +} +attribute { + name: "initial_h-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nComputes an one-layer GRU. This operator is usually supported via some custom\nimplementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`z` - update gate\n\n`r` - reset gate\n\n`h` - hidden gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[zrh]` - W parameter weight matrix for update, reset, and hidden gates\n\n`R[zrh]` - R recurrence weight matrix for update, reset, and hidden gates\n\n`Wb[zrh]` - W bias vectors for update, reset, and hidden gates\n\n`Rb[zrh]` - R bias vectors for update, reset, and hidden gates\n\n`WB[zrh]` - W parameter weight matrix for backward update, reset, and hidden gates\n\n`RB[zrh]` - R recurrence weight matrix for backward update, reset, and hidden gates\n\n`WBb[zrh]` - W bias vectors for backward update, reset, and hidden gates\n\n`RBb[zrh]` - R bias vectors for backward update, reset, and hidden gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n Relu(x) - max(0, x)\n\n Tanh(x) - (1 - e^{-2x})/(1 + e^{-2x})\n\n Sigmoid(x) - 1/(1 + e^{-x})\n\n (NOTE: Below are optional)\n\n Affine(x) - alpha*x + beta\n\n LeakyRelu(x) - x if x >= 0 else alpha * x\n\n ThresholdedRelu(x) - x if x >= alpha else 0\n\n ScaledTanh(x) - alpha*Tanh(beta*x)\n\n HardSigmoid(x) - min(max(alpha*x + beta, 0), 1)\n\n Elu(x) - x if x >= 0 else alpha*(e^x - 1)\n\n Softsign(x) - x/(1 + |x|)\n\n Softplus(x) - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh):\n\n - zt = f(Xt*(Wz^T) + Ht-1*(Rz^T) + Wbz + Rbz)\n\n - rt = f(Xt*(Wr^T) + Ht-1*(Rr^T) + Wbr + Rbr)\n\n - ht = g(Xt*(Wh^T) + (rt (.) Ht-1)*(Rh^T) + Rbh + Wbh) # default, when linear_before_reset = 0\n\n - ht = g(Xt*(Wh^T) + (rt (.) (Ht-1*(Rh^T) + Rbh)) + Wbh) # when linear_before_reset != 0\n\n - Ht = (1 - zt) (.) ht + zt (.) Ht-1\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "data" +input: "indices" +output: "output" +name: "Gather" +op_type: "Gather" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nGiven `data` tensor of rank r >= 1, and `indices` tensor of rank q, gather\nentries of the axis dimension of `data` (by default outer-most one as axis=0) indexed by `indices`, and concatenates\nthem in an output tensor of rank q + (r - 1).\n\naxis = 0 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[k , j_{0}, ..., j_{r-2}]\n\n```\n data = [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ]\n indices = [\n [0, 1],\n [1, 2],\n ]\n output = [\n [\n [1.0, 1.2],\n [2.3, 3.4],\n ],\n [\n [2.3, 3.4],\n [4.5, 5.7],\n ],\n ]\n```\naxis = 1 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[j_{0}, k, j_{1}, ..., j_{r-2}]\n\n```\n data = [\n [1.0, 1.2, 1.9],\n [2.3, 3.4, 3.9],\n [4.5, 5.7, 5.9],\n ]\n indices = [\n [0, 2],\n ]\n axis = 1,\n output = [\n [\n [1.0, 1.9],\n [2.3, 3.9],\n [4.5, 5.9],\n ],\n ]\n```\n" +----f +input: "data" +input: "indices" +output: "output" +name: "GatherElements" +op_type: "GatherElements" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n\nGatherElements takes two inputs `data` and `indices` of the same rank r >= 1\nand an optional attribute `axis` that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). It is an indexing operation\nthat produces its output by indexing into the input data tensor at index\npositions determined by elements of the `indices` tensor.\nIts output shape is the same as the shape of `indices` and consists of one value\n(gathered from the `data`) for each element in `indices`.\n\nFor instance, in the 3-D case (r = 3), the output produced is determined\nby the following equations: \n```\n out[i][j][k] = input[index[i][j][k]][j][k] if axis = 0,\n out[i][j][k] = input[i][index[i][j][k]][k] if axis = 1,\n out[i][j][k] = input[i][j][index[i][j][k]] if axis = 2,\n```\n\nThis operator is also the inverse of ScatterElements. It is similar to Torch\'s gather operation.\n\nExample 1:\n```\n data = [\n [1, 2],\n [3, 4],\n ]\n indices = [\n [0, 0],\n [1, 0],\n ]\n axis = 1\n output = [\n [\n [1, 1],\n [4, 3],\n ],\n ]\n```\nExample 2:\n```\n data = [\n [1, 2, 3],\n [4, 5, 6],\n [7, 8, 9],\n ]\n indices = [\n [1, 2, 0],\n [2, 0, 0],\n ]\n axis = 0\n output = [\n [\n [4, 8, 3],\n [7, 2, 3],\n ],\n ]\n```\n" +----f +input: "data" +input: "indices" +output: "output" +name: "GatherND" +op_type: "GatherND" +attribute { + name: "batch_dims" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nGiven `data` tensor of rank `r` >= 1, `indices` tensor of rank `q` >= 1, and `batch_dims` integer `b`, this operator gathers \nslices of `data` into an output tensor of rank `q + r - indices_shape[-1] - 1 - b`.\n\n`indices` is an q-dimensional integer tensor, best thought of as a `(q-1)`-dimensional tensor of index-tuples into `data`, \nwhere each element defines a slice of `data`\n\n`batch_dims` (denoted as `b`) is an integer indicating the number of batch dimensions, i.e the leading `b` number of dimensions of \n`data` tensor and `indices` are representing the batches, and the gather starts from the `b+1` dimension. \n\nSome salient points about the inputs\' rank and shape:\n \n1) r >= 1 and q >= 1 are to be honored. There is no dependency condition to be met between ranks `r` and `q`\n\n2) The first `b` dimensions of the shape of `indices` tensor and `data` tensor must be equal.\n\n3) b < min(q, r) is to be honored.\n\n4) The `indices_shape[-1]` should have a value between 1 (inclusive) and rank `r-b` (inclusive) \n\n5) All values in `indices` are expected to be within bounds [-s, s-1] along axis of size `s` (i.e.) `-data_shape[i] <= indices[...,i] <= data_shape[i] - 1`.\n It is an error if any of the index values are out of bounds.\n\nThe output is computed as follows:\n\nThe output tensor is obtained by mapping each index-tuple in the `indices` tensor to the corresponding slice of the input `data`.\n \n1) If `indices_shape[-1] > r-b` => error condition\n\n2) If `indices_shape[-1] == r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensors\n containing 1-D tensors of dimension `r-b`, where `N` is an integer equals to the product of 1 and all the elements in the batch dimensions \n of the indices_shape. Let us think of each such `r-b` ranked tensor as `indices_slice`. Each *scalar value* corresponding to `data[0:b-1,indices_slice]` \n is filled into the corresponding location of the `(q-b-1)`-dimensional tensor to form the `output` tensor (Example 1 below)\n\n3) If `indices_shape[-1] < r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensor\n containing 1-D tensors of dimension `< r-b`. Let us think of each such tensors as `indices_slice`. Each *tensor slice* corresponding \n to `data[0:b-1, indices_slice , :]` is filled into the corresponding location of the `(q-b-1)`-dimensional tensor \n to form the `output` tensor (Examples 2, 3, 4 and 5 below)\n\nThis operator is the inverse of `ScatterND`.\n\n`Example 1`\n\n batch_dims = 0\n\n data = [[0,1],[2,3]] # data_shape = [2, 2]\n\n indices = [[0,0],[1,1]] # indices_shape = [2, 2]\n\n output = [0,3] # output_shape = [2]\n\n`Example 2`\n\n batch_dims = 0\n\n data = [[0,1],[2,3]] # data_shape = [2, 2]\n\n indices = [[1],[0]] # indices_shape = [2, 1]\n\n output = [[2,3],[0,1]] # output_shape = [2, 2]\n\n`Example 3`\n\n batch_dims = 0\n\n data = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n indices = [[0,1],[1,0]] # indices_shape = [2, 2]\n\n output = [[2,3],[4,5]] # output_shape = [2, 2] \n\n`Example 4`\n\n batch_dims = 0\n\n data = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n indices = [[[0,1]],[[1,0]]] # indices_shape = [2, 1, 2]\n\n output = [[[2,3]],[[4,5]]] # output_shape = [2, 1, 2] \n\n`Example 5`\n\n batch_dims = 1\n\n data = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n indices = [[1],[0]] # indices_shape = [2, 1]\n\n output = [[2,3],[4,5]] # output_shape = [2, 2] \n\n\n" +----f +input: "A" +input: "B" +input: "C" +output: "Y" +name: "Gemm" +op_type: "Gemm" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "beta" + f: 1.0 + type: FLOAT +} +attribute { + name: "transA" + i: 0 + type: INT +} +attribute { + name: "transB" + i: 0 + type: INT +} +attribute { + name: "A-types" + strings: "int32" + strings: "float16" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "int32" + strings: "float16" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "C-types" + strings: "int32" + strings: "float16" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "General Matrix multiplication:\nhttps://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3\n\nA\' = transpose(A) if transA else A\n\nB\' = transpose(B) if transB else B\n\nCompute Y = alpha * A\' * B\' + beta * C, where input tensor A has shape (M, K) or (K, M),\ninput tensor B has shape (K, N) or (N, K), input tensor C is broadcastable to shape (M, N),\nand output tensor Y has shape (M, N). A will be transposed before doing the\ncomputation if attribute transA is non-zero, same for B and transB.\nThis operator supports **unidirectional broadcasting** (tensor C should be unidirectional broadcastable to tensor A * B); for more details please check [the doc](Broadcasting.md).\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "X" +output: "Y" +name: "GlobalAveragePool" +op_type: "GlobalAveragePool" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n GlobalAveragePool consumes an input tensor X and applies average pooling across\n the values in the same channel. This is equivalent to AveragePool with kernel size\n equal to the spatial dimension of input tensor." +----f +input: "X" +output: "Y" +name: "GlobalLpPool" +op_type: "GlobalLpPool" +attribute { + name: "p" + i: 2 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n GlobalLpPool consumes an input tensor X and applies lp pool pooling across\n the values in the same channel. This is equivalent to LpPool with kernel size\n equal to the spatial dimension of input tensor." +----f +input: "X" +output: "Y" +name: "GlobalMaxPool" +op_type: "GlobalMaxPool" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n GlobalMaxPool consumes an input tensor X and applies max pooling across\n the values in the same channel. This is equivalent to MaxPool with kernel size\n equal to the spatial dimension of input tensor." +----f +input: "Inputs" +output: "Outputs" +name: "Gradient" +op_type: "Gradient" +attribute { + name: "xs" + s: "" + type: STRINGS +} +attribute { + name: "y" + s: "" + type: STRING +} +attribute { + name: "zs" + s: "" + type: STRINGS +} +attribute { + name: "Inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGradient operator computes the partial derivatives of a specific tensor w.r.t.\nsome other tensors. This operator is widely used in gradient-based training\nalgorithms. To illustrate its use, let\'s consider a computation graph,\n\n```\nX -----.\n |\n v\nW --> Conv --> H --> Gemm --> Y\n ^\n |\n Z\n```\n\n, where W and Z are trainable tensors. Note that operators\' attributes are\nomitted for the sake of simplicity. Let dY/dW (dY/dZ) be the gradient of\nY with respect to W (Z). The user can compute gradient by inserting Gradient\noperator to form another graph shown below.\n\n```\nW --> Conv --> H --> Gemm --> Y\n| ^ ^\n| | |\n| X Z\n| | |\n| | .----------\'\n| | | (W/Z/X is the 1st/2nd/3rd input of Gradient as shown in\n| | | \"xs\" followed by \"zs\")\n| v v\n\'---> Gradient(xs=[\"W\", \"Z\"], zs=[\"X\"], y=\"Y\")\n | |\n | \'-----------------------------------> dY/dW (1st output of Gradient)\n |\n \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nBy definition, the tensor \"y\" is a function of independent variables in \"xs\"\nand \"zs\". Since we only compute the gradient of \"y\" w.r.t. the differentiable\nvariables in \"xs\", this Gradient only outputs dY/dW and dY/dZ. Note that \"H\"\ncannot appear in \"xs\" and \"zs\". The reason is that \"H\" can be determined by\ntensors \"W\" and \"X\" and therefore \"H\" is not an independent variable.\n\nAll outputs are optional. If needed, for example, user can assign an empty\nstring to the 1st output name of that Gradient to skip the generation of dY/dW.\nNote that the concept of optional outputs can also be found in ONNX\'s RNN, GRU,\nand LSTM.\n\nGradient operator can compute derivative against intermediate tensors. For\nexample, the gradient of Y with respect to H can be done via\n\n```\nW --> Conv --> H --> Gemm --> Y\n ^ | ^\n | | |\n X | Z\n .-------\' |\n | .----------\'\n | | (H/Z is the 1st/2nd input of Gradient as shown in \"xs\")\n v v\n Gradient(xs=[\"H\", \"Z\"], y=\"Y\")\n | |\n | \'-----------------------------------> dY/dH (1st output of Gradient)\n |\n \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nIt is possible to represent high-order differentiation using Gradient operators.\nFor example, given the following linear model:\n\n```\nW --> Gemm --> Y --> Loss --> O\n ^ ^\n | |\n X L\n```\n\nTo compute the 2nd order derivative of O with respect to W (denoted by\nd^2O/dW^2), one can do\n\n```\nW --> Gemm --> Y --> Loss --> O\n| ^ ^\n| | |\n| X .------------L\n| | | |\n| | | v\n+------+-+> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"O\") ---> dO/dX (1st output of Gradient)\n| | | |\n| | | \'---> dO/dW (2nd output of Gradient)\n| v v\n\'---> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"dO/dW\") ---> d(dO/dW)dX (1st output of\n | Gradient)\n |\n |\n \'---> d^2O/dW^2 (2nd output of Gradient)\n```\n\nThe tensors named in attributes \"xs\", \"zs\", and \"y\" define the differentiated\ncomputation graph, and the inputs to Gradient node define the values at\nwhich the gradient is computed. We can feed different tensors to the identified\ngraph. For example, one can compute the gradient of Y with respect to H at \na specific value of H, H_1, by providing that value as an input to the Gradient\nnode.\n\n```\nW --> Conv --> H --> Gemm --> Y\n ^ ^\n | |\n X Z\n\n Z_1 (2nd input of Gradient)\n |\n v\nH_1 --> Gradient(xs=[\"H\", \"Z\"], y=\"Y\") ---> dY/dH when H = H_1 and Y = Y_1.\n |\n \'------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nWhen the inputs of Gradient are the tensors named in \"xs\" and \"zs\", the\ncomputation can be optimized. More specifically, intermediate variables in\nforward pass can be reused if the gradient is computed via reverse-mode\nauto-differentiation.\n\n" +----f +input: "Inputs" +output: "Outputs" +name: "GraphCall" +op_type: "GraphCall" +attribute { + name: "graph_name" + s: "" + type: STRING +} +attribute { + name: "Inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nThe GraphCall operator invokes a graph inside TrainingInfoProto\'s\nalgorithm field. The GraphCall inputs and outputs are bound to those of\ninvoked graph by position. If a graph input has an initializer, that input\nis considered optional. All graph outputs are optional.\n\nBelow Python syntax is used for describing dictionary and list.\n\nAssume that ModelProto\'s graph field has\n- name: \"MyInferenceGraph\"\n- input: [\"X\", \"W\", \"Z\"]\n- initializer: [W]\n- output: [\"Y\"]\n\nas visualized below for inference.\n\n```\nX -----.\n |\n v\nW --> Conv --> H --> Gemm --> Y\n ^\n |\n Z\n```\n\nAssume that the training algorithm contains\n\n- inputs: [\"X_1\", \"Z_1\", \"C\"]\n- initializer: [T]\n- outputs: [\"W_new\"]\n\nwith a dictionary\n\n- update_binding: {\"W\": \"W_new\", \"T\": \"T_new\"}\n\nInside the training algorithm graph, one can invoke the inference\ngraph via adding a GraphCall node with\n\n- inputs: [\"X_1\", \"W\", Z_1\"]\n- outputs: [\"Y_1\"]\n- an attribute graph_name=\"MyInferenceGraph\",\n\nThe initializers, \"W\" and \"T\" in this case, in update_binding\nare considered globally-visible and mutable variables, which\ncan be used as inputs of operators in the training graph.\n\nAn example training algorithm graph may look like\n\n```\n.-------- W (a global and mutable variable from\n| | the inference graph)\n| |\n| .-----\'-----------.\n| | |\n| | v\n| | .-- X_1 --> GraphCall(graph_name=\"MyInferenceGraph\")\n| | | | |\n| | | | |\n| | | Z_1 -----\' |\n| | | | V\n| | | | Y_1 ---> Loss ---> O\n| | | | ^\n| | | | |\n| | `--. | C\n| | | | |\n| | | | .----------------\'\n| | | | |\n| | v v v\n| `--> Gradient(xs=[\"W\"], zs=[\"X_1\", \"Z_1\", \"C\"], y=\"O\")\n| |\n| v\n| dO_dW (gradient of W) 1 (a scalar one)\n| | |\n| V v\n| Div <--- T ------------> Add ---> T_new\n| | (T is the number of training iterations.\n| | T is also globally visible and mutable.)\n| v\n`-----> Sub ----> W_new\n```\n\nwhere Loss is a dummy node which computes the minimized objective function.\n\nThe variable \"W\" is an optional input in the called graph.\nIf the user omits it, the input list of GraphCall becomes [\"X_1\", \"\", \"Z_1\"].\nIn this case, from the view of computation graph, the Conv operator invoked by\nGraphCall\'s may be still connected the global \"W\" variable and therefore the\nstructure of the computation graph is unchanged.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Greater" +op_type: "Greater" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `greater` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "GreaterOrEqual" +op_type: "GreaterOrEqual" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `greater_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +name: "HardSigmoid" +op_type: "HardSigmoid" +attribute { + name: "alpha" + f: 0.2 + type: FLOAT +} +attribute { + name: "beta" + f: 0.5 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nHardSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the HardSigmoid function, y = max(0, min(1, alpha * x + beta)),\nis applied to the tensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Hardmax" +op_type: "Hardmax" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe operator computes the hardmax (1 for the first maximum value, and 0 for all others) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the hardmax values of the corresponding input.\n" +----f +input: "input" +output: "output" +name: "Identity" +op_type: "Identity" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "Identity operator" +----f +input: "cond" +output: "outputs" +name: "If" +op_type: "If" +attribute { + name: "else_branch" + s: "" + type: GRAPH +} +attribute { + name: "then_branch" + s: "" + type: GRAPH +} +attribute { + name: "cond-types" + strings: "bool" + type: STRINGS +} +doc_string: "If conditional" +----f +input: "X" +output: "Y" +name: "Imputer" +op_type: "Imputer" +attribute { + name: "imputed_value_floats" + s: "" + type: FLOATS +} +attribute { + name: "imputed_value_int64s" + s: "" + type: INTS +} +attribute { + name: "replaced_value_float" + f: 0.0 + type: FLOAT +} +attribute { + name: "replaced_value_int64" + i: 0 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Replaces inputs that equal one value with another, leaving all other elements alone.
\n This operator is typically used to replace missing values in situations where they have a canonical\n representation, such as -1, 0, NaN, or some extreme value.
\n One and only one of imputed_value_floats or imputed_value_int64s should be defined -- floats if the input tensor\n holds floats, integers if the input tensor holds integers. The imputed values must all fit within the\n width of the tensor element type. One and only one of the replaced_value_float or replaced_value_int64 should be defined,\n which one depends on whether floats or integers are being processed.
\n The imputed_value attribute length can be 1 element, or it can have one element per input feature.
In other words, if the input tensor has the shape [*,F], then the length of the attribute array may be 1 or F. If it is 1, then it is broadcast along the last dimension and applied to each feature.\n" +----f +input: "input" +input: "scale" +input: "B" +output: "output" +name: "InstanceNormalization" +op_type: "InstanceNormalization" +attribute { + name: "epsilon" + f: 1e-05 + type: FLOAT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "scale-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCarries out instance normalization as described in the paper\nhttps://arxiv.org/abs/1607.08022.\n\ny = scale * (x - mean) / sqrt(variance + epsilon) + B,\nwhere mean and variance are computed per instance per channel.\n\n" +----f +input: "X" +output: "Y" +name: "IsInf" +op_type: "IsInf" +attribute { + name: "detect_negative" + i: 1 + type: INT +} +attribute { + name: "detect_positive" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "Map infinity to true and other values to false." +----f +input: "X" +output: "Y" +name: "IsNaN" +op_type: "IsNaN" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "Returns which elements of the input are NaN." +----f +input: "X" +output: "Y" +name: "LRN" +op_type: "LRN" +attribute { + name: "alpha" + f: 0.0001 + type: FLOAT +} +attribute { + name: "beta" + f: 0.75 + type: FLOAT +} +attribute { + name: "bias" + f: 1.0 + type: FLOAT +} +attribute { + name: "size" + s: "" + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nLocal Response Normalization proposed in the [AlexNet paper](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf).\nIt normalizes over local input regions.\nThe local region is defined across the channels. For an element X[n, c, d1, ..., dk] in a tensor\nof shape (N x C x D1 x D2, ..., Dk), its region is\n{X[n, i, d1, ..., dk] | max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2))}.\n\nsquare_sum[n, c, d1, ..., dk] = sum(X[n, i, d1, ..., dk] ^ 2),\nwhere max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2)).\n\nY[n, c, d1, ..., dk] = X[n, c, d1, ..., dk] / (bias + alpha / size * square_sum[n, c, d1, ..., dk] ) ^ beta\n" +----f +input: "X" +input: "W" +input: "R" +input: "B" +input: "sequence_lens" +input: "initial_h" +input: "initial_c" +input: "P" +output: "Y" +output: "Y_h" +output: "Y_c" +name: "LSTM" +op_type: "LSTM" +attribute { + name: "activation_alpha" + s: "" + type: FLOATS +} +attribute { + name: "activation_beta" + s: "" + type: FLOATS +} +attribute { + name: "activations" + s: "" + type: STRINGS +} +attribute { + name: "clip" + s: "" + type: FLOAT +} +attribute { + name: "direction" + s: "forward" + type: STRING +} +attribute { + name: "hidden_size" + s: "" + type: INT +} +attribute { + name: "input_forget" + i: 0 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int32" + type: STRINGS +} +attribute { + name: "initial_h-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "initial_c-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "P-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nComputes an one-layer LSTM. This operator is usually supported via some\ncustom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`o` - output gate\n\n`f` - forget gate\n\n`c` - cell gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[iofc]` - W parameter weight matrix for input, output, forget, and cell gates\n\n`R[iofc]` - R recurrence weight matrix for input, output, forget, and cell gates\n\n`Wb[iofc]` - W bias vectors for input, output, forget, and cell gates\n\n`Rb[iofc]` - R bias vectors for input, output, forget, and cell gates\n\n`P[iof]` - P peephole weight vector for input, output, and forget gates\n\n`WB[iofc]` - W parameter weight matrix for backward input, output, forget, and cell gates\n\n`RB[iofc]` - R recurrence weight matrix for backward input, output, forget, and cell gates\n\n`WBb[iofc]` - W bias vectors for backward input, output, forget, and cell gates\n\n`RBb[iofc]` - R bias vectors for backward input, output, forget, and cell gates\n\n`PB[iof]` - P peephole weight vector for backward input, output, and forget gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n Relu(x) - max(0, x)\n\n Tanh(x) - (1 - e^{-2x})/(1 + e^{-2x})\n\n Sigmoid(x) - 1/(1 + e^{-x})\n\n (NOTE: Below are optional)\n\n Affine(x) - alpha*x + beta\n\n LeakyRelu(x) - x if x >= 0 else alpha * x\n\n ThresholdedRelu(x) - x if x >= alpha else 0\n\n ScaledTanh(x) - alpha*Tanh(beta*x)\n\n HardSigmoid(x) - min(max(alpha*x + beta, 0), 1)\n\n Elu(x) - x if x >= 0 else alpha*(e^x - 1)\n\n Softsign(x) - x/(1 + |x|)\n\n Softplus(x) - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh, h=Tanh):\n\n - it = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Pi (.) Ct-1 + Wbi + Rbi)\n\n - ft = f(Xt*(Wf^T) + Ht-1*(Rf^T) + Pf (.) Ct-1 + Wbf + Rbf)\n\n - ct = g(Xt*(Wc^T) + Ht-1*(Rc^T) + Wbc + Rbc)\n\n - Ct = ft (.) Ct-1 + it (.) ct\n\n - ot = f(Xt*(Wo^T) + Ht-1*(Ro^T) + Po (.) Ct + Wbo + Rbo)\n\n - Ht = ot (.) h(Ct)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +input: "X" +output: "Y" +name: "LabelEncoder" +op_type: "LabelEncoder" +attribute { + name: "default_float" + f: -0.0 + type: FLOAT +} +attribute { + name: "default_int64" + i: -1 + type: INT +} +attribute { + name: "default_string" + s: "_Unused" + type: STRING +} +attribute { + name: "keys_floats" + s: "" + type: FLOATS +} +attribute { + name: "keys_int64s" + s: "" + type: INTS +} +attribute { + name: "keys_strings" + s: "" + type: STRINGS +} +attribute { + name: "values_floats" + s: "" + type: FLOATS +} +attribute { + name: "values_int64s" + s: "" + type: INTS +} +attribute { + name: "values_strings" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "string" + strings: "float" + strings: "int64" + type: STRINGS +} +doc_string: "\n Maps each element in the input tensor to another value.
\n The mapping is determined by the two parallel attributes, \'keys_*\' and\n \'values_*\' attribute. The i-th value in the specified \'keys_*\' attribute\n would be mapped to the i-th value in the specified \'values_*\' attribute. It\n implies that input\'s element type and the element type of the specified\n \'keys_*\' should be identical while the output type is identical to the\n specified \'values_*\' attribute. If an input element can not be found in the\n specified \'keys_*\' attribute, the \'default_*\' that matches the specified\n \'values_*\' attribute may be used as its output value.
\n Let\'s consider an example which maps a string tensor to an integer tensor.\n Assume and \'keys_strings\' is [\"Amy\", \"Sally\"], \'values_int64s\' is [5, 6],\n and \'default_int64\' is \'-1\'. The input [\"Dori\", \"Amy\", \"Amy\", \"Sally\",\n \"Sally\"] would be mapped to [-1, 5, 5, 6, 6].
\n Since this operator is an one-to-one mapping, its input and output shapes\n are the same. Notice that only one of \'keys_*\'/\'values_*\' can be set.
\n For key look-up, bit-wise comparison is used so even a float NaN can be\n mapped to a value in \'values_*\' attribute.
\n" +----f +input: "X" +output: "Y" +name: "LeakyRelu" +op_type: "LeakyRelu" +attribute { + name: "alpha" + f: 0.01 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nLeakyRelu takes input data (Tensor) and an argument alpha, and produces one\noutput data (Tensor) where the function `f(x) = alpha * x for x < 0`,\n`f(x) = x for x >= 0`, is applied to the data tensor elementwise.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Less" +op_type: "Less" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `less` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "LessOrEqual" +op_type: "LessOrEqual" +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `less_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +output: "Z" +name: "LinearClassifier" +op_type: "LinearClassifier" +attribute { + name: "classlabels_ints" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "intercepts" + s: "" + type: FLOATS +} +attribute { + name: "multi_class" + i: 0 + type: INT +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Linear classifier\n" +----f +input: "X" +output: "Y" +name: "LinearRegressor" +op_type: "LinearRegressor" +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "intercepts" + s: "" + type: FLOATS +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "targets" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Generalized linear regression evaluation.
\n If targets is set to 1 (default) then univariate regression is performed.
\n If targets is set to M then M sets of coefficients must be passed in as a sequence\n and M results will be output for each input n in N.
\n The coefficients array is of length n, and the coefficients for each target are contiguous.\n Intercepts are optional but if provided must match the number of targets.\n" +----f +input: "input" +output: "output" +name: "Log" +op_type: "Log" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the natural log of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "LogSoftmax" +op_type: "LogSoftmax" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe operator computes the logsoftmax (log of softmax) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the logsoftmax values of the corresponding input.\n" +----f +input: "M" +input: "cond" +input: "v_initial" +output: "v_final_and_scan_outputs" +name: "Loop" +op_type: "Loop" +attribute { + name: "body" + s: "" + type: GRAPH +} +attribute { + name: "M-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "cond-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "v_initial-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGeneric Looping construct. This loop has multiple termination conditions:\n\n1) Trip count. Iteration count specified at runtime. Set by\n specifying the input M. Optional. Set to empty string to omit.\n Note that a static trip count (specified at graph construction time) can be\n specified by passing in a constant node for input M.\n2) Loop termination condition. This is an input to the op that determines\n whether to run the first iteration and also a loop-carried dependency for\n the body graph. The body graph must yield a value for the condition variable,\n whether this input is provided or not.\n\nThis table summarizes the operating modes of this operator with equivalent\nC-style code:\n\n Operator inputs defined as (max_trip_count, condition_var).\n\n input (\"\", \"\"):\n for (int i=0; ; ++i) {\n cond = ... // Note this value is ignored, but is required in the body\n }\n\n input (\"\", cond) // Note this is analogous to a while loop\n bool cond = ...;\n for (int i=0; cond; ++i) {\n cond = ...;\n }\n\n input (\"\", 1) // Note this is analogous to a do-while loop\n bool cond = true\n for (int i=0; cond; ++i) {\n cond = ...;\n }\n\n input (trip_count, \"\") // Note this is analogous to a for loop\n int trip_count = ...\n for (int i=0; i < trip_count; ++i) {\n cond = ...; // ignored\n }\n\n input (trip_count, cond)\n int trip_count = ...;\n bool cond = ...;\n for (int i=0; i < trip_count && cond; ++i) {\n cond = ...;\n }\n\n\n*Sample usage - cond as well as trip count*\n\n graph predict-net {\n %a = Constant[value = ]()\n %b = Constant[value = ]()\n %keepgoing = Constant[value = ]()\n %max_trip_count = Constant[value = ]()\n %keepgoing_out, %b_out, %user_defined_vals = Loop[body = ](%max_trip_count, %keepgoing, %b)\n return\n }\n\n graph body-net (\n %i[INT32, scalar] // iteration number\n %keepgoing_in[BOOL, scalar] // incoming loop-termination-condition; not used\n %b_in[INT32, scalar] // incoming value of loop-carried-dependency b\n ) {\n %my_local = Add(%a, %b_in)\n %b_out = Sub(%a, %b_in) // outgoing value of loop-carried-dependency b\n %keepgoing_out = Greater(%my_local, %b_out) // outgoing loop-termination-condition\n %user_defined_val = Add(%b_in, %b_in) // scan-output value to be accumulated\n return %keepgoing_out, %b_out, %user_defined_val\n }\n\n*Sample equivalent C code*\n\n {\n /* User-defined code (enclosing scope) */\n int a = 3, b = 6;\n bool keepgoing = true; // Analogous to input cond\n /* End user-defined code */\n\n /* Implicitly-defined code */\n const int max_trip_count = 10; // Analogous to input M\n int user_defined_vals[]; // Imagine this is resizable\n /* End implicitly-defined code */\n /* initialize loop-carried variables and scan-output variables */\n bool keepgoing_out = keepgoing\n int b_out = b\n\n for (int i=0; i < max_trip_count && keepgoing_out; ++i) {\n /* Implicitly-defined code: bind actual parameter values\n to formal parameter variables of loop-body */\n bool keepgoing_in = keepgoing_out; \n bool b_in = b_out;\n\n /* User-defined code (loop body) */\n int my_local = a + b_in; // Reading value \"a\" from the enclosing scope is fine\n b_out = a - b_in;\n keepgoing_out = my_local > b_out; \n user_defined_val = b_in + b_in; // b_in and b_out are different variables\n /* End user-defined code */\n\n /* Implicitly defined-code */\n user_defined_vals[i] = user_defined_val // accumulate scan-output values\n }\n // int t = my_local; // Can\'t do this. my_local is not accessible here.\n\n // The values below are bound to the output variables of the loop and therefore accessible\n // b_out; user_defined_vals; keepgoing_out;\n }\n\nThere are several things of note in this code snippet:\n\n1) Values from the enclosing scope (i.e. variable \"a\" here) are in scope and can\n be referenced in the inputs of the loop.\n2) Any values computed in the loop body that needs to be used in a subsequent\n iteration or after the loop are modelled using a pair of variables in the loop-body,\n consisting of an input variable (eg., b_in) and an output variable (eg., b_out).\n These are referred to as loop-carried dependences. The loop operation node\n supplies the input value of the input variable for the first iteration, and\n returns the output value of the output variable produced by the final\n iteration.\n3) Scan_output variables are used to implicitly concatenate values computed across\n all the iterations. In the above example, the value of user_defined_val computed\n over all iterations are concatenated and returned as the value of user_defined_vals\n after the loop.\n4) Values created in the body cannot be accessed in the enclosing scope,\n except using the mechanism described above.\n\nNote that the semantics of this op support \"diagonal\" or \"wavefront\" execution.\n(See Step 3 here for an example:\nhttps://devblogs.nvidia.com/optimizing-recurrent-neural-networks-cudnn-5/).\nFrontends should emit multi-layer RNNs as a series of While operators (with\ntime being the inner looping dimension), with each successive layer consuming\nthe scan_outputs from the previous layer, possibly going through several\npoint-wise operators (e.g. dropout, residual connections, linear layer).\n" +----f +input: "input" +output: "output" +name: "LpNormalization" +op_type: "LpNormalization" +attribute { + name: "axis" + i: -1 + type: INT +} +attribute { + name: "p" + i: 2 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nGiven a matrix, apply Lp-normalization along the provided axis.\n" +----f +input: "X" +output: "Y" +name: "LpPool" +op_type: "LpPool" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "p" + i: 2 + type: INT +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n LpPool consumes an input tensor X and applies Lp pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n Lp pooling consisting of computing the Lp norm on all values of a subset\n of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing." +----f +input: "A" +input: "B" +output: "Y" +name: "MatMul" +op_type: "MatMul" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html\n" +----f +input: "A" +input: "B" +input: "a_zero_point" +input: "b_zero_point" +output: "Y" +name: "MatMulInteger" +op_type: "MatMulInteger" +attribute { + name: "A-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "B-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "a_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "b_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nThe production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n" +----f +input: "data_0" +output: "max" +name: "Max" +op_type: "Max" +attribute { + name: "data_0-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nElement-wise max of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +output: "Indices" +name: "MaxPool" +op_type: "MaxPool" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "ceil_mode" + i: 0 + type: INT +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "storage_order" + i: 0 + type: INT +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "int8" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "float" + type: STRINGS +} +doc_string: "\n MaxPool consumes an input tensor X and applies max pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n max pooling consisting of computing the max on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) - input_spatial_shape[i]\n ```\n The output of each pooling window is maximum number of elements exclude pad. \n " +----f +input: "X" +input: "rois" +output: "Y" +name: "MaxRoiPool" +op_type: "MaxRoiPool" +attribute { + name: "pooled_shape" + s: "" + type: INTS +} +attribute { + name: "spatial_scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "rois-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n ROI max pool consumes an input tensor X and region of interests (RoIs) to\n apply max pooling across each RoI, to produce output 4-D tensor of shape\n (num_rois, channels, pooled_shape[0], pooled_shape[1])." +----f +input: "X" +input: "I" +input: "output_shape" +output: "output" +name: "MaxUnpool" +op_type: "MaxUnpool" +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "I-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "output_shape-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nMaxUnpool essentially computes the partial inverse of the MaxPool op.\n The input information to this op is typically the the output information from a MaxPool op. The first\n input tensor X is the tensor that needs to be unpooled, which is typically the pooled tensor (first output)\n from MaxPool. The second input tensor, I, contains the indices to the (locally maximal) elements corrsponding\n to the elements in the first input tensor X. Input tensor I is typically the second output of the MaxPool op.\n The third (optional) input is a tensor that specifies the output size of the unpooling operation.\n\nMaxUnpool is intended to do \'partial\' inverse of the MaxPool op. \'Partial\' because all the non-maximal\n values from the original input to MaxPool are set to zero in the output of the MaxUnpool op. Pooling\n the result of an unpooling operation should give back the original input to the unpooling op.\n\nMaxUnpool can produce the same output size for several input sizes, which makes unpooling op ambiguous.\n The third input argument, output_size, is meant to disambiguate the op and produce output tensor of\n known/predictable size.\n\nIn addition to the inputs, MaxUnpool takes three attributes, namely kernel_shape, strides, and pads,\n which define the exact unpooling op. The attributes typically have the same values as the corrsponding\n pooling op that the unpooling op is trying to invert.\n" +----f +input: "data_0" +output: "mean" +name: "Mean" +op_type: "Mean" +attribute { + name: "data_0-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nElement-wise mean of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Y" +name: "MeanVarianceNormalization" +op_type: "MeanVarianceNormalization" +attribute { + name: "axes" + ints: 0 + ints: 2 + ints: 3 + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\n A MeanVarianceNormalization Function: Perform mean variance normalization\n on the input tensor X using formula:
``` (X-EX)/sqrt(E(X-EX)^2) ```\n" +----f +input: "data_0" +output: "min" +name: "Min" +op_type: "Min" +attribute { + name: "data_0-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nElement-wise min of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "A" +input: "B" +output: "C" +name: "Mod" +op_type: "Mod" +attribute { + name: "fmod" + i: 0 + type: INT +} +attribute { + name: "A-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Performs element-wise binary modulus (with Numpy-style broadcasting support). \n The sign of the remainder is the same as that of the Divisor.\n \n Mod operator can also behave like C fmod() or numpy.fmod. In this case, the sign of the remainder however, will be the same as the Dividend \n (in contrast to integer mod). To force a behavior like numpy.fmod() an \'fmod\' Attribute is provided.\n This attribute is set to 0 by default causing the behavior to be like integer mod. \n Setting this attribute to 1 causes the remainder to be calculated similar to that of numpy.fmod().\n\n If the input type is floating point, then `fmod` attribute must be set to 1.\n \n In case of dividend being zero, the results will be platform dependent.\n\n This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "R" +input: "T" +input: "inputs" +output: "outputs" +name: "Momentum" +op_type: "Momentum" +attribute { + name: "alpha" + s: "" + type: FLOAT +} +attribute { + name: "beta" + s: "" + type: FLOAT +} +attribute { + name: "mode" + s: "" + type: STRING +} +attribute { + name: "norm_coefficient" + s: "" + type: FLOAT +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + type: STRINGS +} +attribute { + name: "T-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "inputs-types" + strings: "float" + strings: "double" + type: STRINGS +} +doc_string: "\n Compute one iteration of stochastic gradient update with momentum.\n This operator can conduct the optimization of multiple tensor variables.\n\n Let\'s define the behavior of this operator. As you can imagine, SG with momentum requires\n several parameters:\n \n - The learning-rate \"R\".\n - The update count \"T\". That is, the number of conducted training iterations. It should\n be zero in the first training iteration.\n - A L2-norm regularization coefficient \"norm_coefficient\".\n - A decay coefficient of previous accumulated gradient (i.e., momentum) \"alpha\".\n - The scaling coefficient of current gradient \"beta\".\n - An attribute to choose either standard momentum or Nesterov\'s momentum \"mode\" should\n be used.\n\n For the sake of simplicity, assume that there is only one tensor (called \"X\") to be optimized.\n Other necessary inputs are \"X\"\'s gradient (called \"G\") and \"X\"\'s momentum (called \"V\"). This\n Momentum operator maps all these inputs to the new value of \"X\" (called \"X_new\") and its new\n momentum (called \"V_new\").\n \n This operator supports two different momentum algorithms. Set the attribute \"mode\" to\n \"nesterov\" if Nesterov\'s momentum is desired. Otherwise, set the attribute \"model\" to\n \"standard\" to use standard momentum. Computation details are described subsequently.\n\n Let \"+\", \"-\", \"*\", and \"/\" are all element-wise operations with numpy-style broadcasting.\n\n Pseudo code for SG with standard momentum:\n\n // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n // values of all elements in X.\n G_regularized = norm_coefficient * X + G\n\n // In the first training iteration, beta should always be 1.\n beta_adjusted = T > 0 ? beta : 1\n\n // Compute the current momentum based on previous momentum and the current gradient.\n V_new = alpha * V + beta_adjusted * G_regularized\n\n // Update X.\n X_new = X - R * V_new\n\n Pseudo code for SG with Nesterov\'s momentum:\n\n // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n // values of all elements in X.\n G_regularized = norm_coefficient * X + G;\n\n // In the first training iteration, beta should always be 1.\n beta_adjusted = T > 0 ? beta : 1\n\n // Compute the current momentum based on previous momentum and the current gradient.\n V_new = alpha * V + beta_adjusted * G_regularized;\n\n // Compute final update direction and then update X.\n X_new = X - R * (G_regularized + alpha * V_new)\n\n If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\". The same\n pseudo code would be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n be concatenated too) and then our pseudo code becomes applicable.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Mul" +op_type: "Mul" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary multiplication (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "input" +output: "output" +name: "Multinomial" +op_type: "Multinomial" +attribute { + name: "dtype" + i: 6 + type: INT +} +attribute { + name: "sample_size" + i: 1 + type: INT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nGenerate a tensor of samples from a multinomial distribution according to the probabilities\nof each of the possible outcomes.\n" +----f +input: "X" +output: "Y" +name: "Neg" +op_type: "Neg" +attribute { + name: "X-types" + strings: "int8" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +doc_string: "\nNeg takes one input data (Tensor) and produces one output data\n(Tensor) where each element flipped sign, y = -x, is applied to\nthe tensor elementwise.\n" +----f +input: "input" +input: "target" +input: "weight" +output: "loss" +name: "NegativeLogLikelihoodLoss" +op_type: "NegativeLogLikelihoodLoss" +attribute { + name: "ignore_index" + s: "" + type: INT +} +attribute { + name: "reduction" + s: "mean" + type: STRING +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "target-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "weight-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nA NegativeLogLikelihoodLoss operator computes (weighted) negative log likelihood loss.\nIts \"input\" tensor has the shape of (N, C, d1, d2, ..., dk) where k >= 0.\nThe \"input\" tensor contains log-probabilities for input[n, :, d_1, d_2,..., d_k] being in a class of [0, C).\nThe operator\'s \"target\" input tensor has the shape of (N, d1, d2, ..., dk). It encodes class labels (one of C classes)\nor it may contain a special value (indicated by an attribute ignore_index) for N x d1 x d2 x ... x dk samples.\nThe loss value for input[n, :, d_1, d_2,...d_k] being classified as class c = target[n][d_1][d_2]...[d_k] is computed as:\n\n loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k].\n\nWhen an optional \"weight\" is provided, the sample loss is calculated as:\n\n loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k] * weight[c].\n\nloss is zero for the case when target-value equals ignore_index.\n \n loss[n][d_1][d_2]...[d_k] = 0, when target[n][d_1][d_2]...[d_k] = ignore_index\n\nIf \"reduction\" attribute is set to \"none\", the operator\'s output will be the above loss with shape (N, d1, d2, ..., dk).\nIf \"reduction\" attribute is set to \"mean\" (the default attribute value), the output loss is (weight) averaged:\n\n mean(loss), if \"weight\" is not provided,\n\nor if weight is provided,\n\n sum(loss) / sum(weight[target[n][d_1][d_2]...[d_k]]]), for all samples.\n\nIf \"reduction\" attribute is set to \"sum\", the output is a scalar:\n sum(loss).\n\nSee also https://pytorch.org/docs/stable/nn.html#torch.nn.NLLLoss.\n\nExample 1:\n\n // negative log likelihood loss, \"none\" reduction\n N, C, d1 = 2, 3, 2\n input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n target = [[2, 1], [0, 2]]\n\n loss = np.zeros((N, d1))\n for n in range(N):\n for d_1 in range(d1):\n c = target[n][d_1]\n loss[n][d_1] = -input[n][c][d_1]\n\n // print(loss)\n // [[-3. -2.]\n // [-0. -2.]]\n\nExample 2:\n\n // weighted negative log likelihood loss, sum reduction\n N, C, d1 = 2, 3, 2\n input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n target = [[2, 1], [0, 2]]\n weight = [0.2, 0.3, 0.1]\n loss = np.zeros((N, d1))\n for n in range(N):\n for d_1 in range(d1):\n c = target[n][d_1]\n loss[n][d_1] = -input[n][c][d_1] * weight[c]\n\n loss = np.sum(loss)\n // print(loss)\n // -1.1\n\nExample 3:\n\n // weighted negative log likelihood loss, mean reduction\n N, C, d1 = 2, 3, 2\n input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n target = [[2, 1], [0, 2]]\n weight = [0.2, 0.3, 0.1]\n loss = np.zeros((N, d1))\n weight_total = 0\n for n in range(N):\n for d_1 in range(d1):\n c = target[n][d_1]\n loss[n][d_1] = -input[n][c][d_1] * weight[c]\n weight_total = weight_total + weight[c]\n\n loss = np.sum(loss) / weight_total\n // print(loss)\n // -1.57\n" +----f +input: "boxes" +input: "scores" +input: "max_output_boxes_per_class" +input: "iou_threshold" +input: "score_threshold" +output: "selected_indices" +name: "NonMaxSuppression" +op_type: "NonMaxSuppression" +attribute { + name: "center_point_box" + i: 0 + type: INT +} +attribute { + name: "boxes-types" + strings: "float" + type: STRINGS +} +attribute { + name: "scores-types" + strings: "float" + type: STRINGS +} +attribute { + name: "max_output_boxes_per_class-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "iou_threshold-types" + strings: "float" + type: STRINGS +} +attribute { + name: "score_threshold-types" + strings: "float" + type: STRINGS +} +doc_string: "\nFilter out boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.\nBounding boxes with score less than score_threshold are removed. Bounding box format is indicated by attribute center_point_box.\nNote that this algorithm is agnostic to where the origin is in the coordinate system and more generally is invariant to\northogonal transformations and translations of the coordinate system; thus translating or reflections of the coordinate system\nresult in the same boxes being selected by the algorithm.\nThe selected_indices output is a set of integers indexing into the input collection of bounding boxes representing the selected boxes.\nThe bounding box coordinates corresponding to the selected indices can then be obtained using the Gather or GatherND operation.\n" +----f +input: "X" +output: "Y" +name: "NonZero" +op_type: "NonZero" +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Returns the indices of the elements that are non-zero\n (in row-major order - by dimension).\n NonZero behaves similar to numpy.nonzero:\n https://docs.scipy.org/doc/numpy/reference/generated/numpy.nonzero.html\n" +----f +input: "X" +output: "Y" +name: "Normalizer" +op_type: "Normalizer" +attribute { + name: "norm" + s: "MAX" + type: STRING +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Normalize the input. There are three normalization modes, which have the corresponding formulas,\n defined using element-wise infix operators \'/\' and \'^\' and tensor-wide functions \'max\' and \'sum\':
\n
\n Max: Y = X / max(X)
\n L1: Y = X / sum(X)
\n L2: Y = sqrt(X^2 / sum(X^2)}
\n In all modes, if the divisor is zero, Y == X.\n
\n For batches, that is, [N,C] tensors, normalization is done along the C axis. In other words, each row\n of the batch is normalized independently.\n" +----f +input: "X" +output: "Y" +name: "Not" +op_type: "Not" +attribute { + name: "X-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the negation of the input tensor element-wise.\n" +----f +input: "indices" +input: "depth" +input: "values" +output: "output" +name: "OneHot" +op_type: "OneHot" +attribute { + name: "axis" + i: -1 + type: INT +} +attribute { + name: "indices-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "depth-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "values-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Produces a one-hot tensor based on inputs.\n The locations represented by the index values in the \'indices\' input tensor will have \'on_value\'\n and the other locations will have \'off_value\' in the output tensor, where \'on_value\' and \'off_value\'\n are specified as part of required input argument \'values\', which is a two-element tensor of format\n [off_value, on_value]. The rank of the output tensor will be one greater than the rank of the\n input tensor. The additional dimension is for one-hot representation. The additional dimension will\n be inserted at the position specified by \'axis\'. If \'axis\' is not specified then then additional\n dimension will be inserted as the innermost dimension, i.e. axis=-1. The size of the additional\n dimension is specified by required scalar input \'depth\'. The type of the output tensor is the same\n as the type of the \'values\' input. Any entries in the \'indices\' input tensor with values outside\n the range [-depth, depth-1] will result in one-hot representation with all \'off_value\' values in the\n output tensor.\n\n when axis = 0:\n output[input[i, j, k], i, j, k] = 1 for all i, j, k and 0 otherwise.\n\n when axis = -1:\n output[i, j, k, input[i, j, k]] = 1 for all i, j, k and 0 otherwise.\n\n" +----f +input: "X" +output: "Y" +name: "OneHotEncoder" +op_type: "OneHotEncoder" +attribute { + name: "cats_int64s" + s: "" + type: INTS +} +attribute { + name: "cats_strings" + s: "" + type: STRINGS +} +attribute { + name: "zeros" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "int32" + strings: "string" + strings: "double" + strings: "int64" + strings: "float" + type: STRINGS +} +doc_string: "\n Replace each input element with an array of ones and zeros, where a single\n one is placed at the index of the category that was passed in. The total category count \n will determine the size of the extra dimension of the output array Y.
\n For example, if we pass a tensor with a single value of 4, and a category count of 8, \n the output will be a tensor with ``[0,0,0,0,1,0,0,0]``.
\n This operator assumes every input feature is from the same set of categories.
\n If the input is a tensor of float, int32, or double, the data will be cast\n to integers and the cats_int64s category list will be used for the lookups.\n" +----f +input: "A" +input: "B" +output: "C" +name: "Or" +op_type: "Or" +attribute { + name: "A-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "B-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `or` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +input: "slope" +output: "Y" +name: "PRelu" +op_type: "PRelu" +attribute { + name: "X-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "slope-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPRelu takes input data (Tensor) and slope tensor as input, and produces one\noutput data (Tensor) where the function `f(x) = slope * x for x < 0`,\n`f(x) = x for x >= 0`., is applied to the data tensor elementwise.\nThis operator supports **unidirectional broadcasting** (tensor slope should be unidirectional broadcastable to input tensor X); for more details please check [the doc](Broadcasting.md)." +----f +input: "data" +input: "pads" +input: "constant_value" +output: "output" +name: "Pad" +op_type: "Pad" +attribute { + name: "mode" + s: "constant" + type: STRING +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "pads-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "constant_value-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGiven a tensor containing the data to be padded (`data`), a tensor containing the number of start and end pad values for axis (`pads`), (optionally) a `mode`, and (optionally) `constant_value`, \na padded tensor (`output`) is generated.\n\nThe three supported `modes` are (similar to corresponding modes supported by `numpy.pad`):\n\n1) `constant`(default) - pads with a given constant value as specified by `constant_value` (which defaults to 0)\n\n2) `reflect` - pads with the reflection of the vector mirrored on the first and last values of the vector along each axis\n\n3) `edge` - pads with the edge values of array\n\n\nExample 1 (`constant` mode):\n Insert 0 pads to the beginning of the second dimension.\n\n data = \n [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ] \n\n pads = [0, 2, 0, 0]\n\n mode = \'constant\'\n\n constant_value = 0.0\n\n output = \n [\n [\n [0.0, 0.0, 1.0, 1.2],\n [0.0, 0.0, 2.3, 3.4],\n [0.0, 0.0, 4.5, 5.7],\n ],\n ]\n\n\nExample 2 (`reflect` mode):\n data = \n [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ] \n\n pads = [0, 2, 0, 0]\n\n mode = \'reflect\'\n\n output = \n [\n [\n [1.0, 1.2, 1.0, 1.2],\n [2.3, 3.4, 2.3, 3.4],\n [4.5, 5.7, 4.5, 5.7],\n ],\n ]\n\n\nExample 3 (`edge` mode):\n data = \n [\n [1.0, 1.2],\n [2.3, 3.4],\n [4.5, 5.7],\n ] \n\n pads = [0, 2, 0, 0]\n\n mode = \'edge\'\n\n output = \n [\n [\n [1.0, 1.0, 1.0, 1.2],\n [2.3, 2.3, 2.3, 3.4],\n [4.5, 4.5, 4.5, 5.7],\n ],\n ]\n\n" +----f +input: "X" +input: "Y" +output: "Z" +name: "Pow" +op_type: "Pow" +attribute { + name: "X-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPow takes input data (Tensor) and exponent Tensor, and\nproduces one output data (Tensor) where the function `f(x) = x^exponent`,\nis applied to the data tensor elementwise.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)." +----f +input: "x" +input: "x_scale" +input: "x_zero_point" +input: "w" +input: "w_scale" +input: "w_zero_point" +input: "y_scale" +input: "y_zero_point" +input: "B" +output: "y" +name: "QLinearConv" +op_type: "QLinearConv" +attribute { + name: "auto_pad" + s: "NOTSET" + type: STRING +} +attribute { + name: "dilations" + s: "" + type: INTS +} +attribute { + name: "group" + i: 1 + type: INT +} +attribute { + name: "kernel_shape" + s: "" + type: INTS +} +attribute { + name: "pads" + s: "" + type: INTS +} +attribute { + name: "strides" + s: "" + type: INTS +} +attribute { + name: "x-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "x_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "x_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "w_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "w_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "y_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "y_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "B-types" + strings: "int32" + type: STRINGS +} +doc_string: "\nThe convolution operator consumes a quantized input tensor, its scale and zero point,\na quantized filter, its scale and zero point, and output\'s scale and zero point,\nand computes the quantized output. Each scale and zero-point pair must have same shape.\nIt means they must be either scalars (per tensor) or 1-D tensors (per output channel).\nEach input or output and its related zero point must have same type.\nWhen bias is present it must be quantized using scale = input scale * weight scale and \nzero point as 0.\n" +----f +input: "a" +input: "a_scale" +input: "a_zero_point" +input: "b" +input: "b_scale" +input: "b_zero_point" +input: "y_scale" +input: "y_zero_point" +output: "y" +name: "QLinearMatMul" +op_type: "QLinearMatMul" +attribute { + name: "a-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "a_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "a_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "b-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "b_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "b_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +attribute { + name: "y_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "y_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nIt consumes two quantized input tensors, their scales and zero points, scale and zero point of output, and computes the quantized output.\nThe quantization formula is y = saturate((x / y_scale) + y_zero_point). For (x / y_scale), it is rounding to nearest ties to even.\nRefer to https://en.wikipedia.org/wiki/Rounding for details. Scale and zero point must have same shape.\nThey must be either scalar (per tensor) or 1-D tensor (per row for \'a\' and per column for \'b\'). If scale and zero point are 1-D tensor,\nthe number of elements of scale and zero point tensor of input \'a\' and output \'y\' should be equal to the number of rows of input \'a\',\nand the number of elements of scale and zero point tensor of input \'b\' should be equal to the number of columns of input \'b\'.\nProduction must never overflow, and accumulation may overflow if and only if in 32 bits.\n" +----f +input: "x" +input: "y_scale" +input: "y_zero_point" +output: "y" +name: "QuantizeLinear" +op_type: "QuantizeLinear" +attribute { + name: "x-types" + strings: "float" + strings: "int32" + type: STRINGS +} +attribute { + name: "y_scale-types" + strings: "float" + type: STRINGS +} +attribute { + name: "y_zero_point-types" + strings: "int8" + strings: "uint8" + type: STRINGS +} +doc_string: "\nThe linear per-tensor/layer quantization operator. It consumes a high precision tensor, a scale, a zero point to compute the low precision / quantized tensor.\nThe quantization formula is y = saturate ((x / y_scale) + y_zero_point). For saturation, it saturates to [0, 255] if it\'s uint8, or [-128, 127] if it\'s int8.\nFor (x / y_scale), it\'s rounding to nearest ties to even. Refer to https://en.wikipedia.org/wiki/Rounding for details. \'y_zero_point\' and \'y\' must have same type.\n" +----f +input: "X" +input: "W" +input: "R" +input: "B" +input: "sequence_lens" +input: "initial_h" +output: "Y" +output: "Y_h" +name: "RNN" +op_type: "RNN" +attribute { + name: "activation_alpha" + s: "" + type: FLOATS +} +attribute { + name: "activation_beta" + s: "" + type: FLOATS +} +attribute { + name: "activations" + strings: "Tanh" + strings: "Tanh" + type: STRINGS +} +attribute { + name: "clip" + s: "" + type: FLOAT +} +attribute { + name: "direction" + s: "forward" + type: STRING +} +attribute { + name: "hidden_size" + s: "" + type: INT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "W-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "R-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int32" + type: STRINGS +} +attribute { + name: "initial_h-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nComputes an one-layer simple RNN. This operator is usually supported\nvia some custom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`t` - time step (t-1 means previous time step)\n\n`Wi` - W parameter weight matrix for input gate\n\n`Ri` - R recurrence weight matrix for input gate\n\n`Wbi` - W parameter bias vector for input gate\n\n`Rbi` - R parameter bias vector for input gate\n\n`WBi` - W parameter weight matrix for backward input gate\n\n`RBi` - R recurrence weight matrix for backward input gate\n\n`WBbi` - WR bias vectors for backward input gate\n\n`RBbi` - RR bias vectors for backward input gate\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n Relu(x) - max(0, x)\n\n Tanh(x) - (1 - e^{-2x})/(1 + e^{-2x})\n\n Sigmoid(x) - 1/(1 + e^{-x})\n\n (NOTE: Below are optional)\n\n Affine(x) - alpha*x + beta\n\n LeakyRelu(x) - x if x >= 0 else alpha * x\n\n ThresholdedRelu(x) - x if x >= alpha else 0\n\n ScaledTanh(x) - alpha*Tanh(beta*x)\n\n HardSigmoid(x) - min(max(alpha*x + beta, 0), 1)\n\n Elu(x) - x if x >= 0 else alpha*(e^x - 1)\n\n Softsign(x) - x/(1 + |x|)\n\n Softplus(x) - log(1 + e^x)\n\nEquations (Default: f=Tanh):\n\n - Ht = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Wbi + Rbi)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n" +----f +output: "output" +name: "RandomNormal" +op_type: "RandomNormal" +attribute { + name: "dtype" + i: 1 + type: INT +} +attribute { + name: "mean" + f: 0.0 + type: FLOAT +} +attribute { + name: "scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "shape" + s: "" + type: INTS +} +doc_string: "\nGenerate a tensor with random values drawn from a normal distribution. The shape\nof the tensor is specified by the `shape` argument and the parameter of the normal distribution\nspecified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n" +----f +input: "input" +output: "output" +name: "RandomNormalLike" +op_type: "RandomNormalLike" +attribute { + name: "dtype" + s: "" + type: INT +} +attribute { + name: "mean" + f: 0.0 + type: FLOAT +} +attribute { + name: "scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGenerate a tensor with random values drawn from a normal distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the normal distribution are specified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message, and be valid as an output type.\n" +----f +output: "output" +name: "RandomUniform" +op_type: "RandomUniform" +attribute { + name: "dtype" + i: 1 + type: INT +} +attribute { + name: "high" + f: 1.0 + type: FLOAT +} +attribute { + name: "low" + f: 0.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "shape" + s: "" + type: INTS +} +doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution. The shape\nof the tensor is specified by the `shape` argument and the range by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n" +----f +input: "input" +output: "output" +name: "RandomUniformLike" +op_type: "RandomUniformLike" +attribute { + name: "dtype" + s: "" + type: INT +} +attribute { + name: "high" + f: 1.0 + type: FLOAT +} +attribute { + name: "low" + f: 0.0 + type: FLOAT +} +attribute { + name: "seed" + s: "" + type: FLOAT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the uniform distribution are specified by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n" +----f +input: "start" +input: "limit" +input: "delta" +output: "output" +name: "Range" +op_type: "Range" +attribute { + name: "start-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +attribute { + name: "limit-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +attribute { + name: "delta-types" + strings: "int32" + strings: "double" + strings: "int64" + strings: "float" + strings: "int16" + type: STRINGS +} +doc_string: "\nGenerate a tensor containing a sequence of numbers that begin at `start` and extends by increments of `delta`\nup to `limit` (exclusive).\n\nThe number of elements in the output of range is computed as below-\n\n`number_of_elements = max( ceil( (limit - start) / delta ) , 0 )`\n\nThe pseudocode determining the contents of the output is shown below-\n\n`for(int i=0; i) and produces one output data\n(Tensor) where the reciprocal is, y = 1/x, is applied to\nthe tensor elementwise.\n" +----f +input: "data" +output: "reduced" +name: "ReduceL1" +op_type: "ReduceL1" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the L1 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceL2" +op_type: "ReduceL2" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the L2 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceLogSum" +op_type: "ReduceLogSum" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the log sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceLogSumExp" +op_type: "ReduceLogSumExp" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the log sum exponent of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceMax" +op_type: "ReduceMax" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "int8" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the max of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceMean" +op_type: "ReduceMean" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the mean of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceMin" +op_type: "ReduceMin" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "int8" + strings: "float16" + strings: "int32" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the min of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceProd" +op_type: "ReduceProd" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the product of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceSum" +op_type: "ReduceSum" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "data" +output: "reduced" +name: "ReduceSumSquare" +op_type: "ReduceSumSquare" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "data-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nComputes the sum square of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True." +----f +input: "X" +output: "Y" +name: "Relu" +op_type: "Relu" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = max(0, x), is applied to\nthe tensor elementwise.\n" +----f +input: "data" +input: "shape" +output: "reshaped" +name: "Reshape" +op_type: "Reshape" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "shape-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nReshape the input tensor similar to numpy.reshape.\nFirst input is the data tensor, second input is a shape tensor which specifies the output shape. It outputs the reshaped tensor.\nAt most one dimension of the new shape can be -1. In this case, the value is\ninferred from the size of the tensor and the remaining dimensions. A dimension\ncould also be 0, in which case the actual dimension value is unchanged (i.e. taken\nfrom the input tensor)." +----f +input: "X" +input: "roi" +input: "scales" +input: "sizes" +output: "Y" +name: "Resize" +op_type: "Resize" +attribute { + name: "coordinate_transformation_mode" + s: "half_pixel" + type: STRING +} +attribute { + name: "cubic_coeff_a" + f: -0.75 + type: FLOAT +} +attribute { + name: "exclude_outside" + i: 0 + type: INT +} +attribute { + name: "extrapolation_value" + f: 0.0 + type: FLOAT +} +attribute { + name: "mode" + s: "nearest" + type: STRING +} +attribute { + name: "nearest_mode" + s: "round_prefer_floor" + type: STRING +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "roi-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "scales-types" + strings: "float" + type: STRINGS +} +attribute { + name: "sizes-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nResize the input tensor. In general, it calculates every value in the output tensor as a weighted average of neighborhood (a.k.a. sampling locations) in the input tensor.\nEach dimension value of the output tensor is:\n output_dimension = floor(input_dimension * (roi_end - roi_start) * scale) if input \\\"sizes\\\" is not specified.\n" +----f +input: "input" +input: "sequence_lens" +output: "Y" +name: "ReverseSequence" +op_type: "ReverseSequence" +attribute { + name: "batch_axis" + i: 1 + type: INT +} +attribute { + name: "time_axis" + i: 0 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "sequence_lens-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nReverse batch of sequences having different lengths specified by `sequence_lens`.\n\nFor each slice i iterating on batch axis, the operator reverses the first sequence_lens[i] elements on time axis,\nand copies elements whose index\'s beyond sequence_lens[i] to the output. So the output slice i contains reversed\nsequences on the first sequence_lens[i] elements, then have original values copied for the other elements.\n\nExample 1:\n input = [[0.0, 4.0, 8.0, 12.0],\n [1.0, 5.0, 9.0, 13.0],\n [2.0, 6.0, 10.0, 14.0],\n [3.0, 7.0, 11.0, 15.0]]\n sequence_lens = [4, 3, 2, 1]\n time_axis = 0\n batch_axis = 1\n\n output = [[3.0, 6.0, 9.0, 12.0],\n [2.0, 5.0, 8.0, 13.0],\n [1.0, 4.0, 10.0, 14.0],\n [0.0, 7.0, 11.0, 15.0]]\n\nExample 2:\n input = [[0.0, 1.0, 2.0, 3.0 ],\n [4.0, 5.0, 6.0, 7.0 ],\n [8.0, 9.0, 10.0, 11.0],\n [12.0, 13.0, 14.0, 15.0]]\n sequence_lens = [1, 2, 3, 4]\n time_axis = 1\n batch_axis = 0\n\n output = [[0.0, 1.0, 2.0, 3.0 ],\n [5.0, 4.0, 6.0, 7.0 ],\n [10.0, 9.0, 8.0, 11.0],\n [15.0, 14.0, 13.0, 12.0]]\n" +----f +input: "X" +input: "rois" +input: "batch_indices" +output: "Y" +name: "RoiAlign" +op_type: "RoiAlign" +attribute { + name: "mode" + s: "avg" + type: STRING +} +attribute { + name: "output_height" + i: 1 + type: INT +} +attribute { + name: "output_width" + i: 1 + type: INT +} +attribute { + name: "sampling_ratio" + i: 0 + type: INT +} +attribute { + name: "spatial_scale" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "rois-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "batch_indices-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nRegion of Interest (RoI) align operation described in the\n[Mask R-CNN paper](https://arxiv.org/abs/1703.06870).\nRoiAlign consumes an input tensor X and region of interests (rois)\nto apply pooling across each RoI; it produces a 4-D tensor of shape\n(num_rois, C, output_height, output_width).\n\nRoiAlign is proposed to avoid the misalignment by removing\nquantizations while converting from original image into feature\nmap and from feature map into RoI feature; in each ROI bin,\nthe value of the sampled locations are computed directly\nthrough bilinear interpolation.\n" +----f +input: "X" +output: "Y" +name: "Round" +op_type: "Round" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nRound takes one input Tensor and rounds the values, element-wise, meaning\nit finds the nearest integer for each value.\nIn case of halfs, the rule is to round them to the nearest even integer.\nThe output tensor has the same shape and type as the input.\n\nExamples:\n```\nround([0.9]) = [1.0]\nround([2.5]) = [2.0]\nround([2.3]) = [2.0]\nround([1.5]) = [2.0]\nround([-4.5]) = [-4.0]\n```\n" +----f +input: "X" +output: "Y" +output: "Z" +name: "SVMClassifier" +op_type: "SVMClassifier" +attribute { + name: "classlabels_ints" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "kernel_params" + s: "" + type: FLOATS +} +attribute { + name: "kernel_type" + s: "LINEAR" + type: STRING +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "prob_a" + s: "" + type: FLOATS +} +attribute { + name: "prob_b" + s: "" + type: FLOATS +} +attribute { + name: "rho" + s: "" + type: FLOATS +} +attribute { + name: "support_vectors" + s: "" + type: FLOATS +} +attribute { + name: "vectors_per_class" + s: "" + type: INTS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Support Vector Machine classifier\n" +----f +input: "X" +output: "Y" +name: "SVMRegressor" +op_type: "SVMRegressor" +attribute { + name: "coefficients" + s: "" + type: FLOATS +} +attribute { + name: "kernel_params" + s: "" + type: FLOATS +} +attribute { + name: "kernel_type" + s: "LINEAR" + type: STRING +} +attribute { + name: "n_supports" + i: 0 + type: INT +} +attribute { + name: "one_class" + i: 0 + type: INT +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "rho" + s: "" + type: FLOATS +} +attribute { + name: "support_vectors" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Support Vector Machine regression prediction and one-class SVM anomaly detection.\n" +----f +input: "X" +output: "Y" +name: "Scaler" +op_type: "Scaler" +attribute { + name: "offset" + s: "" + type: FLOATS +} +attribute { + name: "scale" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Rescale input data, for example to standardize features by removing the mean and scaling to unit variance.\n" +----f +input: "initial_state_and_scan_inputs" +output: "final_state_and_scan_outputs" +name: "Scan" +op_type: "Scan" +attribute { + name: "body" + s: "" + type: GRAPH +} +attribute { + name: "num_scan_inputs" + s: "" + type: INT +} +attribute { + name: "scan_input_axes" + s: "" + type: INTS +} +attribute { + name: "scan_input_directions" + s: "" + type: INTS +} +attribute { + name: "scan_output_axes" + s: "" + type: INTS +} +attribute { + name: "scan_output_directions" + s: "" + type: INTS +} +attribute { + name: "initial_state_and_scan_inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nScan can be used to iterate over one or more scan_input tensors,\nconstructing zero or more scan_output tensors. It combines ideas from general recurrences,\nfunctional programming constructs such as scan, fold, map, and zip and is intended to enable\ngeneralizations of RNN-like constructs for sequence-to-sequence processing.\nOther tensors (referred to as state_variables here) can be used to carry a state\nwhen iterating from one element to another (similar to hidden-state in RNNs, also referred\nto as loop-carried dependences in the context of loops).\nMany common usages involve a single scan_input tensor (where functionality\nsimilar to scan, fold and map can be obtained). When more than one scan_input is used,\na behavior similar to zip is obtained.\n\nThe attribute body must be a graph, specifying the computation to be performed in\nevery iteration. It takes as input the current values of the state_variables and\nthe current iterated element of the scan_inputs. It must return the (updated) values\nof the state_variables and zero or more scan_output_element tensors. The values of the\nscan_output_element tensors are concatenated over all the iterations to produce the\nscan_output values of the scan construct (similar to the concatenated intermediate\nhidden-state values of RNN-like constructs). All the output tensors (state_variables as\nwell as scan_output_element tensors) are required to have the same shape in each iteration\nof the loop (a restriction imposed to enable efficient memory allocation).\n\nNote that the iterated element passed to the body subgraph does not have a sequence\naxis. It will have a rank one less than the rank of the corresponding scan_input.\n\nThe scan operation returns the final values of the state_variables as well as the\nscan_outputs.\n\nThe optional attribute scan_input_directions specifies the direction (forward or backward)\nfor each scan input. If this attribute is omitted, all sequences are scanned in the forward\ndirection. A bidirectional scan may be performed by specifying the same tensor input twice\nin the scan_inputs, once with a forward direction, and once with a backward direction.\n\nThe scan_output of the operation is produced by concatenating the scan_output_element\nvalues produced by the body in each iteration. The optional attribute scan_output_directions\nspecifies the direction in which scan_output is constructed (by appending or prepending the\nscan_output_element to scan_output in each iteration) for each scan_output. If this attribute\nis omitted, the scan_output_element is appended to the scan_output in each iteration.\n\nThe optional attribute scan_input_axes specifies the axis to be scanned for each scan_input.\nIf omitted, every scan_input will be scanned in axis 0. For example, if axis 0 is the\nbatch axis and axis 1 is the time axis (to be scanned), specify an axis value of 1.\nNote that scanning a non-zero axis may be less efficient than scanning axis zero.\n\nThe optional attribute scan_output_axes specifies the axis along which the scan_outputs\nare accumulated for each scan_output. For example, if axis 1 is the time axis (to be\nscanned) for both inputs and outputs, specify a scan_input axis and scan_output axis\nvalue of 1.\n\nNote that because of the ONNX restriction that only the last parameter of an operator can\nbe variadic, the initial-states and scan-inputs are listed together as one input parameter.\nSimilarly, the final-states and scan-outputs are listed together as one output parameter.\nThe attribute num_scan_inputs indicates the number M of scan-inputs.\n\nThe behavior of\n\n Scan <\n num_scan_inputs = m,\n body = loop-body,\n scan_input_axes = [axis_1, ..., axis_m]\n > (init_1, ..., init_n, scan_1, ..., scan_m)\n\nis equivalent to the following pseudo-code:\n\n // scan_i.shape[axis_i] denotes the (max) sequence-length of scan_i\n // scan_i.shape[axis_i] is required to be equal to scan_j.shape[axis_j] for all i,j.\n sequence_length = scan_1.shape[axis_1];\n\n // initialize state-variables\n st_1 = init_1; ... st_n = init_n;\n // initialize scan-output variables: [] denotes an empty tensor\n scan_out_1 = []; ...; scan_out_k = [];\n // identify number of iterations:\n\n // execute loop\n for (int t = 0; t < sequence_length; ++t) {\n // generate the scan-input elements: the notation T[t] indicates the sub-tensor\n // of rank one less than T obtained by indexing T at position t along axis k.\n si_1 = scan_1[t];\n ... ;\n si_m = scan_m[t];\n // execute loop-body\n st_1, ..., st_n, so_1, ..., so_k = loop-body(st_1, ..., st_n, si_1, ..., si_m)\n // accumulate the scan-output elements\n scan_out_1 = Concat(scan_out_1, so_1); ... ; scan_out_k = Concat(scan_out_k, so_k);\n }\n\n return st_1, ..., st_n, scan_out_1, ..., scan_out_k;\n\n*Sample usage: Encoding RNN using a Scan*\n\nThe following example shows how a simple RNN over an input tensor %X, with weight tensor %Wi,\nrecurrence weight tensor %Ri, bias tensors %Wbi and %Rbi, and initial hidden-state %H_0 can\nbe encoded as a ScanLoop. Note that the loop-body is a nested graph, and it directly computes\n%Wi, %Ri, %Wbi, and %Rbi (typically constants or initializers in the body graph). If these\nvalues are computed in the outer graph, they need to be passed in as extra state_variables.\n\n graph rnn-encoding {\n %H_0 = ... \n %X = ...\n %Y_h, %Y = Scan[body = , num_scan_inputs=1](%H_0, %X)\n return %Y, %Y_h\n }\n\n graph rnn-cell-1 (\n %H_tminus1[FLOAT, tensor]\n %X_t[FLOAT, tensor]\n ) {\n %Wi = ...\n %Ri = ...\n %Wbi = ...\n %Rbi = ...\n %t1 = X_t * (Wi^T)\n %t2 = H_tminus1*(Ri^T)\n %t3 = Add(%t1, %t2)\n %t4 = Add(%t3, %Wbi)\n %t5 = Add(%t4, %Rbi)\n %Ht = Tanh(%t5)\n %Accumulate = Identity(%Ht)\n return %Ht, %Accumulate\n }\n\n" +----f +input: "data" +input: "indices" +input: "updates" +output: "output" +name: "Scatter" +op_type: "Scatter" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "updates-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nThis operator is deprecated. Please use ScatterElements, which provides the same functionality.\n\nScatter takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n output[indices[i][j]][j] = updates[i][j] if axis = 0, \n output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n data = [\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n ]\n indices = [\n [1, 0, 2],\n [0, 2, 1],\n ]\n updates = [\n [1.0, 1.1, 1.2],\n [2.0, 2.1, 2.2],\n ]\n output = [\n [2.0, 1.1, 0.0]\n [1.0, 0.0, 2.2]\n [0.0, 2.1, 1.2]\n ]\n```\nExample 2:\n```\n data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n indices = [[1, 3]]\n updates = [[1.1, 2.1]]\n axis = 1\n output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n" +----f +input: "data" +input: "indices" +input: "updates" +output: "output" +name: "ScatterElements" +op_type: "ScatterElements" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "updates-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nScatterElements takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n output[indices[i][j]][j] = updates[i][j] if axis = 0, \n output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n data = [\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n [0.0, 0.0, 0.0],\n ]\n indices = [\n [1, 0, 2],\n [0, 2, 1],\n ]\n updates = [\n [1.0, 1.1, 1.2],\n [2.0, 2.1, 2.2],\n ]\n output = [\n [2.0, 1.1, 0.0]\n [1.0, 0.0, 2.2]\n [0.0, 2.1, 1.2]\n ]\n```\nExample 2:\n```\n data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n indices = [[1, 3]]\n updates = [[1.1, 2.1]]\n axis = 1\n output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n" +----f +input: "data" +input: "indices" +input: "updates" +output: "output" +name: "ScatterND" +op_type: "ScatterND" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "indices-types" + strings: "int64" + type: STRINGS +} +attribute { + name: "updates-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nScatterND takes three inputs `data` tensor of rank r >= 1, `indices` tensor of rank q >= 1,\nand `updates` tensor of rank q + r - indices.shape[-1] - 1. The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value to values\nspecified by `updates` at specific index positions specified by `indices`. Its output shape\nis the same as the shape of `data`. Note that `indices` should not have duplicate entries.\nThat is, two or more `updates` for the same index-location is not supported.\n\n`indices` is an integer tensor. Let k denote indices.shape[-1], the last dimension in the shape of `indices`.\n `indices` is treated as a (q-1)-dimensional tensor of k-tuples, where each k-tuple is a partial-index into `data`.\nHence, k can be a value at most the rank of `data`. When k equals rank(data), each update entry specifies an\nupdate to a single element of the tensor. When k is less than rank(data) each update entry specifies an\nupdate to a slice of the tensor.\n\n`updates` is treated as a (q-1)-dimensional tensor of replacement-slice-values. Thus, the\nfirst (q-1) dimensions of updates.shape must match the first (q-1) dimensions of indices.shape.\nThe remaining dimensions of `updates` correspond to the dimensions of the\nreplacement-slice-values. Each replacement-slice-value is a (r-k) dimensional tensor,\ncorresponding to the trailing (r-k) dimensions of `data`. Thus, the shape of `updates`\nmust equal indices.shape[0:q-1] ++ data.shape[k:r-1], where ++ denotes the concatenation\nof shapes.\n\nThe `output` is calculated via the following equation:\n\n output = np.copy(data)\n update_indices = indices.shape[:-1]\n for idx in np.ndindex(update_indices):\n output[indices[idx]] = updates[idx]\n\nThe order of iteration in the above loop is not specified.\nIn particular, indices should not have duplicate entries: that is, if idx1 != idx2, then indices[idx1] != indices[idx2].\nThis ensures that the output value does not depend on the iteration order.\n\nThis operator is the inverse of GatherND.\n\nExample 1:\n```\n data = [1, 2, 3, 4, 5, 6, 7, 8]\n indices = [[4], [3], [1], [7]]\n updates = [9, 10, 11, 12]\n output = [1, 11, 3, 10, 9, 6, 7, 12]\n```\n\nExample 2:\n```\n data = [[[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]],\n [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n indices = [[0], [2]]\n updates = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]]]\n output = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]],\n [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n```\n" +----f +input: "X" +output: "Y" +name: "Selu" +op_type: "Selu" +attribute { + name: "alpha" + f: 1.6732632 + type: FLOAT +} +attribute { + name: "gamma" + f: 1.050701 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSelu takes one input data (Tensor) and produces one output data\n(Tensor) where the scaled exponential linear unit function,\n`y = gamma * (alpha * e^x - alpha) for x <= 0`, `y = gamma * x for x > 0`,\nis applied to the tensor elementwise.\n" +----f +input: "input_sequence" +input: "position" +output: "tensor" +name: "SequenceAt" +op_type: "SequenceAt" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +attribute { + name: "position-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nOutputs a tensor copy from the tensor at \'position\' in \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n" +----f +input: "inputs" +output: "output_sequence" +name: "SequenceConstruct" +op_type: "SequenceConstruct" +attribute { + name: "inputs-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nConstruct a tensor sequence containing \'inputs\' tensors.\nAll tensors in \'inputs\' must have the same data type.\n" +----f +output: "output" +name: "SequenceEmpty" +op_type: "SequenceEmpty" +attribute { + name: "dtype" + s: "" + type: INT +} +doc_string: "\nConstruct an empty tensor sequence, with given data type.\n" +----f +input: "input_sequence" +input: "position" +output: "output_sequence" +name: "SequenceErase" +op_type: "SequenceErase" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +attribute { + name: "position-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nOutputs a tensor sequence that removes the tensor at \'position\' from \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it erases the last tensor from \'input_sequence\'.\n" +----f +input: "input_sequence" +input: "tensor" +input: "position" +output: "output_sequence" +name: "SequenceInsert" +op_type: "SequenceInsert" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +attribute { + name: "tensor-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "position-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nOutputs a tensor sequence that inserts \'tensor\' into \'input_sequence\' at \'position\'.\n\'tensor\' must have the same data type as \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it inserts \'tensor\' to the back of \'input_sequence\'.\n" +----f +input: "input_sequence" +output: "length" +name: "SequenceLength" +op_type: "SequenceLength" +attribute { + name: "input_sequence-types" + strings: "seq(bool" + strings: "seq(complex128" + strings: "seq(string" + strings: "seq(float16" + strings: "seq(int64" + strings: "seq(float" + strings: "seq(int32" + strings: "seq(uint32" + strings: "seq(uint16" + strings: "seq(int8" + strings: "seq(int16" + strings: "seq(complex64" + strings: "seq(uint64" + strings: "seq(double" + strings: "seq(uint8" + type: STRINGS +} +doc_string: "\nProduces a scalar(tensor of empty shape) containing the number of tensors in \'input_sequence\'.\n" +----f +input: "data" +output: "shape" +name: "Shape" +op_type: "Shape" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nTakes a tensor as input and outputs an 1D int64 tensor containing the shape of the input tensor.\n" +----f +input: "input" +output: "output" +name: "Shrink" +op_type: "Shrink" +attribute { + name: "bias" + f: 0.0 + type: FLOAT +} +attribute { + name: "lambd" + f: 0.5 + type: FLOAT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nShrink takes one input data (Tensor) and produces one Tensor output,\nhaving same datatype and shape with input. It has two attributes, lambd and\nbias. The formula of this operator is: If x < -lambd, y = x + bias;\nIf x > lambd, y = x - bias; Otherwise, y = 0.\n" +----f +input: "X" +output: "Y" +name: "Sigmoid" +op_type: "Sigmoid" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the sigmoid function, y = 1 / (1 + exp(-x)), is applied to the\ntensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Sign" +op_type: "Sign" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nCalculate the sign of the given input tensor element-wise.\nIf input > 0, output 1. if input < 0, output -1. if input == 0, output 0.\n" +----f +input: "input" +output: "output" +name: "Sin" +op_type: "Sin" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the sine of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Sinh" +op_type: "Sinh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic sine of the given input tensor element-wise.\n" +----f +input: "data" +output: "size" +name: "Size" +op_type: "Size" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nTakes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.\n" +----f +input: "data" +input: "starts" +input: "ends" +input: "axes" +input: "steps" +output: "output" +name: "Slice" +op_type: "Slice" +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "starts-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "ends-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "axes-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "steps-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nProduces a slice of the input tensor along multiple axes. Similar to numpy:\nhttps://docs.scipy.org/doc/numpy/reference/arrays.indexing.html\nSlices uses `starts`, `ends`, `axes` and `steps` inputs to specify the start and end\ndimension and step for each axis in the list of axes, it uses this information to\nslice the input `data` tensor. If a negative value is passed for any of the\nstart or end indices, it represents number of elements before the end of that\ndimension. If the value passed to start or end is larger than the `n` (the\nnumber of elements in this dimension), it represents `n`. For slicing to the\nend of a dimension with unknown size, it is recommended to pass in `INT_MAX` \nwhen sclicing forward and \'INT_MIN\' when slicing backward.\nIf a negative value is passed for step, it represents slicing backward. \nHowever step value cannot be 0.\nIf `axes` are omitted, they are set to `[0, ..., ndim-1]`.\nIf `steps` are omitted, they are set to `[1, ..., 1]` of length `len(starts)`\nExample 1:\n data = [\n [1, 2, 3, 4],\n [5, 6, 7, 8],\n ]\n axes = [0, 1]\n starts = [1, 0]\n ends = [2, 3]\n steps = [1, 2]\n result = [\n [5, 7],\n ]\nExample 2:\n data = [\n [1, 2, 3, 4],\n [5, 6, 7, 8],\n ]\n starts = [0, 1]\n ends = [-1, 1000]\n result = [\n [2, 3, 4],\n ]\n" +----f +input: "input" +output: "output" +name: "Softmax" +op_type: "Softmax" +attribute { + name: "axis" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThe operator computes the softmax (normalized exponential) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the softmax values of the corresponding input.\n" +----f +input: "scores" +input: "labels" +input: "weights" +output: "output" +output: "log_prob" +name: "SoftmaxCrossEntropyLoss" +op_type: "SoftmaxCrossEntropyLoss" +attribute { + name: "ignore_index" + s: "" + type: INT +} +attribute { + name: "reduction" + s: "mean" + type: STRING +} +attribute { + name: "scores-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +attribute { + name: "labels-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +attribute { + name: "weights-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "Loss function that measures the softmax cross entropy\nbetween \'scores\' and \'labels\'.\nThis operator first computes a loss tensor whose shape is identical to the labels input.\nIf the input is 2-D with shape (N, C), the loss tensor may be a N-element vector L = (l_1, l_2, ..., l_N).\nIf the input is N-D tensor with shape (N, C, D1, D2, ..., Dk),\nthe loss tensor L may have (N, D1, D2, ..., Dk) as its shape and L[i,][j_1][j_2]...[j_k] denotes a scalar element in L.\nAfter L is available, this operator can optionally do a reduction operator.\n\nshape(scores): (N, C) where C is the number of classes, or (N, C, D1, D2,..., Dk),\n with K >= 1 in case of K-dimensional loss.\nshape(labels): (N) where each value is 0 <= labels[i] <= C-1, or (N, D1, D2,..., Dk),\n with K >= 1 in case of K-dimensional loss.\n\nThe loss for one sample, l_i, can caculated as follows:\n l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk], where i is the index of classes.\nor\n l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk] * weights[c], if \'weights\' is provided.\n\nloss is zero for the case when label-value equals ignore_index.\n l[i][d1][d2]...[dk] = 0, when labels[n][d1][d2]...[dk] = ignore_index\n\nwhere:\n p = Softmax(scores)\n y = Log(p)\n c = labels[i][d1][d2]...[dk]\n\nFinally, L is optionally reduced:\nIf reduction = \'none\', the output is L with shape (N, D1, D2, ..., Dk).\nIf reduction = \'sum\', the output is scalar: Sum(L).\nIf reduction = \'mean\', the output is scalar: ReduceMean(L), or if weight is provided: ReduceSum(L) / ReduceSum(W),\nwhere tensor W is of shape (N, D1, D2, ..., Dk) and W[n][d1][d2]...[dk] = weights[labels[i][d1][d2]...[dk]].\n" +----f +input: "X" +output: "Y" +name: "Softplus" +op_type: "Softplus" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSoftplus takes one input data (Tensor) and produces one output data\n(Tensor) where the softplus function, y = ln(exp(x) + 1), is applied to\nthe tensor elementwise.\n" +----f +input: "input" +output: "output" +name: "Softsign" +op_type: "Softsign" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the softsign (x/(1+|x|)) of the given input tensor element-wise.\n" +----f +input: "input" +output: "output" +name: "SpaceToDepth" +op_type: "SpaceToDepth" +attribute { + name: "blocksize" + s: "" + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "SpaceToDepth rearranges blocks of spatial data into depth. More specifically,\nthis op outputs a copy of the input tensor where values from the height and width dimensions\nare moved to the depth dimension.\n" +----f +input: "input" +output: "outputs" +name: "Split" +op_type: "Split" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "split" + s: "" + type: INTS +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "Split a tensor into a list of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\nOtherwise, the tensor is split to equal sized parts.\n" +----f +input: "input" +input: "split" +output: "output_sequence" +name: "SplitToSequence" +op_type: "SplitToSequence" +attribute { + name: "axis" + i: 0 + type: INT +} +attribute { + name: "keepdims" + i: 1 + type: INT +} +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "split-types" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "Split a tensor into a sequence of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\n\'split\' must contain only positive numbers.\n\'split\' is either a scalar (tensor of empty shape), or a 1-D tensor.\nIf \'split\' is a scalar, then \'input\' will be split into equally sized chunks(if possible).\nLast chunk will be smaller if the \'input\' size along the given axis \'axis\' is not divisible\nby \'split\'.\nOtherwise, the tensor is split into \'size(split)\' chunks, with lengths of the parts on \'axis\'\nspecified in \'split\'. In this scenario, the sum of entries in \'split\' must be equal to the\ndimension size of input tensor on \'axis\'.\n" +----f +input: "X" +output: "Y" +name: "Sqrt" +op_type: "Sqrt" +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nSquare root takes one input data (Tensor) and produces one output data\n(Tensor) where the square root is, y = x^0.5, is applied to\nthe tensor elementwise. If x is negative, then it will return NaN.\n" +----f +input: "data" +output: "squeezed" +name: "Squeeze" +op_type: "Squeeze" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nRemove single-dimensional entries from the shape of a tensor.\nTakes a parameter `axes` with a list of axes to squeeze.\nIf `axes` is not provided, all the single dimensions will be removed from\nthe shape. If an axis is selected with shape entry not equal to one, an error is raised.\n" +----f +input: "X" +output: "Y" +name: "StringNormalizer" +op_type: "StringNormalizer" +attribute { + name: "case_change_action" + s: "NONE" + type: STRING +} +attribute { + name: "is_case_sensitive" + i: 0 + type: INT +} +attribute { + name: "locale" + s: "" + type: STRING +} +attribute { + name: "stopwords" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "string" + type: STRINGS +} +doc_string: "\nStringNormalization performs string operations for basic cleaning.\nThis operator has only one input (denoted by X) and only one output\n(denoted by Y). This operator first examines the elements in the X,\nand removes elements specified in \"stopwords\" attribute.\nAfter removing stop words, the intermediate result can be further lowercased,\nuppercased, or just returned depending the \"case_change_action\" attribute.\nThis operator only accepts [C]- and [1, C]-tensor.\nIf all elements in X are dropped, the output will be the empty value of string tensor with shape [1]\nif input shape is [C] and shape [1, 1] if input shape is [1, C].\n" +----f +input: "A" +input: "B" +output: "C" +name: "Sub" +op_type: "Sub" +attribute { + name: "A-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +attribute { + name: "B-types" + strings: "float16" + strings: "int32" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "uint64" + type: STRINGS +} +doc_string: "\nPerforms element-wise binary subtraction (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "data_0" +output: "sum" +name: "Sum" +op_type: "Sum" +attribute { + name: "data_0-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nElement-wise sum of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "input" +output: "output" +name: "Tan" +op_type: "Tan" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the tangent of the given input tensor, element-wise.\n" +----f +input: "input" +output: "output" +name: "Tanh" +op_type: "Tanh" +attribute { + name: "input-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nCalculates the hyperbolic tangent of the given input tensor element-wise.\n" +----f +input: "X" +output: "Y" +name: "TfIdfVectorizer" +op_type: "TfIdfVectorizer" +attribute { + name: "max_gram_length" + s: "" + type: INT +} +attribute { + name: "max_skip_count" + s: "" + type: INT +} +attribute { + name: "min_gram_length" + s: "" + type: INT +} +attribute { + name: "mode" + s: "" + type: STRING +} +attribute { + name: "ngram_counts" + s: "" + type: INTS +} +attribute { + name: "ngram_indexes" + s: "" + type: INTS +} +attribute { + name: "pool_int64s" + s: "" + type: INTS +} +attribute { + name: "pool_strings" + s: "" + type: STRINGS +} +attribute { + name: "weights" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "string" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\nThis transform extracts n-grams from the input sequence and save them as a vector. Input can\nbe either a 1-D or 2-D tensor. For 1-D input, output is the n-gram representation of that input.\nFor 2-D input, the output is also a 2-D tensor whose i-th row is the n-gram representation of the i-th input row.\nMore specifically, if input shape is [C], the corresponding output shape would be [max(ngram_indexes) + 1].\nIf input shape is [N, C], this operator produces a [N, max(ngram_indexes) + 1]-tensor.\n\nIn contrast to standard n-gram extraction, here, the indexes of extracting an n-gram from the original\nsequence are not necessarily consecutive numbers. The discontinuity between indexes are controlled by the number of skips.\nIf the number of skips is 2, we should skip two tokens when scanning through the original sequence.\nLet\'s consider an example. Assume that input sequence is [94, 17, 36, 12, 28] and the number of skips is 2.\nThe associated 2-grams are [94, 12] and [17, 28] respectively indexed by [0, 3] and [1, 4].\nIf the number of skips becomes 0, the 2-grams generated are [94, 17], [17, 36], [36, 12], [12, 28]\nindexed by [0, 1], [1, 2], [2, 3], [3, 4], respectively.\n\nThe output vector (denoted by Y) stores the count of each n-gram;\nY[ngram_indexes[i]] indicates the times that the i-th n-gram is found. The attribute ngram_indexes is used to determine the mapping\nbetween index i and the corresponding n-gram\'s output coordinate. If pool_int64s is [94, 17, 17, 36], ngram_indexes is [1, 0],\nngram_counts=[0, 0], then the Y[0] (first element in Y) and Y[1] (second element in Y) are the counts of [17, 36] and [94, 17],\nrespectively. An n-gram which cannot be found in pool_strings/pool_int64s should be ignored and has no effect on the output.\nNote that we may consider all skips up to S when generating the n-grams.\n\nThe examples used above are true if mode is \"TF\". If mode is \"IDF\", all the counts larger than 1 would be truncated to 1 and\nthe i-th element in weights would be used to scale (by multiplication) the count of the i-th n-gram in pool. If mode is \"TFIDF\",\nthis operator first computes the counts of all n-grams and then scale them by the associated values in the weights attribute.\n\nOnly one of pool_strings and pool_int64s can be set. If pool_int64s is set, the input should be an integer tensor.\nIf pool_strings is set, the input must be a string tensor.\n" +----f +input: "X" +output: "Y" +name: "ThresholdedRelu" +op_type: "ThresholdedRelu" +attribute { + name: "alpha" + f: 1.0 + type: FLOAT +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "float16" + type: STRINGS +} +doc_string: "\nThresholdedRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = x for x > alpha, y = 0 otherwise,\nis applied to the tensor elementwise.\n" +----f +input: "input" +input: "repeats" +output: "output" +name: "Tile" +op_type: "Tile" +attribute { + name: "input-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "repeats-types" + strings: "int64" + type: STRINGS +} +doc_string: "Constructs a tensor by tiling a given tensor.\nThis is the same as function `tile` in Numpy, but no broadcast.\nFor example A = [[1, 2], [3, 4]], B = [1, 2], tile(A, B) = [[1, 2, 1, 2], [3, 4, 3, 4]]\n" +----f +input: "X" +input: "K" +output: "Values" +output: "Indices" +name: "TopK" +op_type: "TopK" +attribute { + name: "axis" + i: -1 + type: INT +} +attribute { + name: "largest" + i: 1 + type: INT +} +attribute { + name: "sorted" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "float" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "K-types" + strings: "int64" + type: STRINGS +} +doc_string: "\nRetrieve the top-K largest or smallest elements along a specified axis. Given an input tensor of\nshape [a_1, a_2, ..., a_n, r] and integer argument k, return two outputs:\n -Value tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n]\n which contains the values of the top k elements along the specified axis\n -Index tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n] which\n contains the indices of the top k elements (original indices from the input\n tensor).\n\nIf \"largest\" is 1 (the default value) then the k largest elements are returned.\nIf \"sorted\" is 1 (the default value) then the resulting k elements will be sorted.\nIf \"sorted\" is 0, order of returned \'Values\' and \'Indices\' are undefined.\n\nGiven two equivalent values, this operator uses the indices along the axis as\n a tiebreaker. That is, the element with the lower index will appear first.\n" +----f +input: "data" +output: "transposed" +name: "Transpose" +op_type: "Transpose" +attribute { + name: "perm" + s: "" + type: INTS +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nTranspose the input tensor similar to numpy.transpose. For example, when\nperm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape\nwill be (2, 1, 3).\n" +----f +input: "X" +output: "Y" +output: "Z" +name: "TreeEnsembleClassifier" +op_type: "TreeEnsembleClassifier" +attribute { + name: "base_values" + s: "" + type: FLOATS +} +attribute { + name: "class_ids" + s: "" + type: INTS +} +attribute { + name: "class_nodeids" + s: "" + type: INTS +} +attribute { + name: "class_treeids" + s: "" + type: INTS +} +attribute { + name: "class_weights" + s: "" + type: FLOATS +} +attribute { + name: "classlabels_int64s" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "nodes_falsenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_featureids" + s: "" + type: INTS +} +attribute { + name: "nodes_hitrates" + s: "" + type: FLOATS +} +attribute { + name: "nodes_missing_value_tracks_true" + s: "" + type: INTS +} +attribute { + name: "nodes_modes" + s: "" + type: STRINGS +} +attribute { + name: "nodes_nodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_treeids" + s: "" + type: INTS +} +attribute { + name: "nodes_truenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_values" + s: "" + type: FLOATS +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Tree Ensemble classifier. Returns the top class for each of N inputs.
\n The attributes named \'nodes_X\' form a sequence of tuples, associated by \n index into the sequences, which must all be of equal length. These tuples\n define the nodes.
\n Similarly, all fields prefixed with \'class_\' are tuples of votes at the leaves.\n A leaf may have multiple votes, where each vote is weighted by\n the associated class_weights index.
\n One and only one of classlabels_strings or classlabels_int64s\n will be defined. The class_ids are indices into this list.\n" +----f +input: "X" +output: "Y" +name: "TreeEnsembleRegressor" +op_type: "TreeEnsembleRegressor" +attribute { + name: "aggregate_function" + s: "SUM" + type: STRING +} +attribute { + name: "base_values" + s: "" + type: FLOATS +} +attribute { + name: "n_targets" + s: "" + type: INT +} +attribute { + name: "nodes_falsenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_featureids" + s: "" + type: INTS +} +attribute { + name: "nodes_hitrates" + s: "" + type: FLOATS +} +attribute { + name: "nodes_missing_value_tracks_true" + s: "" + type: INTS +} +attribute { + name: "nodes_modes" + s: "" + type: STRINGS +} +attribute { + name: "nodes_nodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_treeids" + s: "" + type: INTS +} +attribute { + name: "nodes_truenodeids" + s: "" + type: INTS +} +attribute { + name: "nodes_values" + s: "" + type: FLOATS +} +attribute { + name: "post_transform" + s: "NONE" + type: STRING +} +attribute { + name: "target_ids" + s: "" + type: INTS +} +attribute { + name: "target_nodeids" + s: "" + type: INTS +} +attribute { + name: "target_treeids" + s: "" + type: INTS +} +attribute { + name: "target_weights" + s: "" + type: FLOATS +} +attribute { + name: "X-types" + strings: "float" + strings: "double" + strings: "int32" + strings: "int64" + type: STRINGS +} +doc_string: "\n Tree Ensemble regressor. Returns the regressed values for each input in N.
\n All args with nodes_ are fields of a tuple of tree nodes, and\n it is assumed they are the same length, and an index i will decode the\n tuple across these inputs. Each node id can appear only once\n for each tree id.
\n All fields prefixed with target_ are tuples of votes at the leaves.
\n A leaf may have multiple votes, where each vote is weighted by\n the associated target_weights index.
\n All trees must have their node ids start at 0 and increment by 1.
\n Mode enum is BRANCH_LEQ, BRANCH_LT, BRANCH_GTE, BRANCH_GT, BRANCH_EQ, BRANCH_NEQ, LEAF\n" +----f +input: "X" +output: "Y" +output: "indices" +output: "inverse_indices" +output: "counts" +name: "Unique" +op_type: "Unique" +attribute { + name: "axis" + s: "" + type: INT +} +attribute { + name: "sorted" + i: 1 + type: INT +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nFind the unique elements of a tensor. When an optional attribute \'axis\' is provided, unique subtensors sliced along the \'axis\' are returned. \nOtherwise the input tensor is flattened and unique values of the flattened tensor are returned. \n\nThis operator returns the unique values or sliced unique subtensors of the input tensor and three optional outputs. \nThe first output tensor \'Y\' contains all unique values or subtensors of the input. \nThe second optional output tensor \'indices\' contains indices of \'Y\' elements\' first occurance in \'X\'.. \nThe third optional output tensor \'inverse_indices\' contains, for elements of \'X\', its corresponding indices in \'Y\'. \". \nThe fourth optional output tensor \'counts\' contains the count of each element of \'Y\' in the input. \n\nOutputs are either sorted in ascending order or optionally in the order of the first occurrence of the values in the input. \n\nhttps://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html\n\nExample 1:\n input_X = [2, 1, 1, 3, 4, 3]\n attribute_sorted = 0\n attribute_axis = None\n output_Y = [2, 1, 3, 4]\n output_indices = [0, 1, 3, 4]\n output_inverse_indices = [0, 1, 1, 2, 3, 2]\n output_counts = [1, 2, 2, 1]\n\nExample 2:\n input_X = [[1, 3], [2, 3]]\n attribute_sorted = 1\n attribute_axis = None\n output_Y = [1, 2, 3]\n output_indices = [0, 2, 1]\n output_inverse_indices = [0, 2, 1, 2]\n output_counts = [1, 1, 2]\n\nExample 3:\n input_X = [[1, 0, 0], [1, 0, 0], [2, 3, 4]]\n attribute_sorted = 1\n attribute_axis = 0\n output_Y = [[1, 0, 0], [2, 3, 4]]\n output_indices = [0, 2]\n output_inverse_indices = [0, 0, 1]\n output_counts = [2, 1]\n\nExample 4:\n input_x = [[[1., 1.], [0., 1.], [2., 1.], [0., 1.]], \n [[1., 1.], [0., 1.], [2., 1.], [0., 1.]]]\n attribute_sorted = 1\n attribute_axis = 1\n\n intermediate data are presented below for better understanding: \n \n there are 4 subtensors sliced along axis 1 of input_x (shape = (2, 4, 2)):\n A: [[1, 1], [1, 1]], \n [[0, 1], [0, 1]], \n [[2, 1], [2, 1]], \n [[0, 1], [0, 1]].\n \n there are 3 unique subtensors: \n [[1, 1], [1, 1]], \n [[0, 1], [0, 1]], \n [[2, 1], [2, 1]].\n \n sorted unique subtensors:\n B: [[0, 1], [0, 1]], \n [[1, 1], [1, 1]], \n [[2, 1], [2, 1]].\n \n output_Y is constructed from B:\n [[[0. 1.], [1. 1.], [2. 1.]], \n [[0. 1.], [1. 1.], [2. 1.]]]\n\n output_indices is to map from B to A:\n [1, 0, 2]\n \n output_inverse_indices is to map from A to B:\n [1, 0, 2, 0]\n\n output_counts = [2 1 1]\n" +----f +input: "data" +output: "expanded" +name: "Unsqueeze" +op_type: "Unsqueeze" +attribute { + name: "axes" + s: "" + type: INTS +} +attribute { + name: "data-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\nInsert single-dimensional entries to the shape of an input tensor (`data`).\nTakes one required argument `axes` - which contains a list of dimension indices and this operator will insert a dimension of value `1` into the corresponding index of the output tensor (`expanded`).\n\nFor example:\n Given an input tensor (`data`) of shape [3, 4, 5], then\n Unsqueeze(data, axes=[0, 4]) outputs a tensor (`expanded`) containing same data as `data` but with shape [1, 3, 4, 5, 1].\n\nThe attribute `axes` should not contain any duplicate entries. It is an error if it contains duplicates.\nThe rank of the output tensor (`output_rank`) is the rank of the input tensor (`data`) plus the number of values in `axes`.\nEach value in `axes` should be within the (inclusive) range [-output_rank , output_rank - 1]. \nThe order of values in `axes` does not matter and can come in any order. \n\n" +----f +input: "X" +input: "scales" +output: "Y" +name: "Upsample" +op_type: "Upsample" +attribute { + name: "mode" + s: "nearest" + type: STRING +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "scales-types" + strings: "float" + type: STRINGS +} +doc_string: "\nUpsample the input tensor.\nEach dimension value of the output tensor is:\n output_dimension = floor(input_dimension * scale).\n" +----f +input: "condition" +input: "X" +input: "Y" +output: "output" +name: "Where" +op_type: "Where" +attribute { + name: "condition-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "X-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +attribute { + name: "Y-types" + strings: "uint16" + strings: "int8" + strings: "bool" + strings: "int32" + strings: "float16" + strings: "uint8" + strings: "string" + strings: "double" + strings: "int64" + strings: "uint32" + strings: "complex64" + strings: "float" + strings: "complex128" + strings: "int16" + strings: "uint64" + type: STRINGS +} +doc_string: "\n Return elements, either from X or Y, depending on condition\n (with Numpy-style broadcasting support).\n Where behaves like numpy.where with three parameters:\n https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html\n" +----f +input: "A" +input: "B" +output: "C" +name: "Xor" +op_type: "Xor" +attribute { + name: "A-types" + strings: "bool" + type: STRINGS +} +attribute { + name: "B-types" + strings: "bool" + type: STRINGS +} +doc_string: "\nReturns the tensor resulted from performing the `xor` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n" +----f +input: "X" +output: "Z" +name: "ZipMap" +op_type: "ZipMap" +attribute { + name: "classlabels_int64s" + s: "" + type: INTS +} +attribute { + name: "classlabels_strings" + s: "" + type: STRINGS +} +attribute { + name: "X-types" + strings: "float" + type: STRINGS +} +doc_string: "\n Creates a map from the input and the attributes.
\n The values are provided by the input tensor, while the keys are specified by the attributes.\n Must provide keys in either classlabels_strings or classlabels_int64s (but not both).
\n The columns of the tensor correspond one-by-one to the keys specified by the attributes. There must be as many columns as keys.
\n" +----f diff --git a/contrib/codegen-tools/onnx-def-gen/onnx_def_gen.py b/contrib/codegen-tools/onnx-def-gen/onnx_def_gen.py new file mode 100644 index 000000000..518924814 --- /dev/null +++ b/contrib/codegen-tools/onnx-def-gen/onnx_def_gen.py @@ -0,0 +1,133 @@ +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ + +from onnx.defs import get_all_schemas +from onnx import NodeProto,GraphProto +from google.protobuf import text_format +import onnx.helper + + +nodes = [] +schemas = get_all_schemas() + + +def load_node(input_str): + """ + Return a node + :param input_str: + :return: + """ + node_proto = NodeProto() + text_format.Parse(input_str,node_proto) + return node_proto + +# default values for each type for serialization + + +def convert_attr_type_to_enum(attr_value): + """ + Pass in an attribute from OpDescriptor and + get back out the equivalent enum value + for conversion to an attribute proto. + :param attr_value: the attribute value + :return: + """ + if str(attr_value.type) == 'AttrType.INTS': + return 7 + elif str(attr_value.type) == 'AttrType.UNDEFINED': + return 0 + elif str(attr_value.type) == 'AttrType.FLOATS': + return 6 + elif str(attr_value.type) == 'AttrType.GRAPH': + return 5 + elif str(attr_value.type) == 'AttrType.GRAPHS': + return 10 + elif str(attr_value.type) == 'AttrType.INT': + return 2 + elif str(attr_value.type) == 'AttrType.STRING': + return 3 + elif str(attr_value.type) == 'AttrType.TENSOR': + return 4 + elif str(attr_value.type) == 'AttrType.TENSORS': + return 9 + elif str(attr_value.type) == 'AttrType.SPARSE_TENSOR': + return 11 + elif str(attr_value.type) == 'AttrType.SPARSE_TENSORS': + return 12 + elif str(attr_value.type) == 'AttrType.FLOAT': + return 1 + elif str(attr_value.type) == 'AttrType.STRINGS': + return 8 + else: + raise Exception('Invalid type passed in') + +def create_node_from_schema(schema): + + """ + Convert an OpSchema to a NodeProto + :param schema: the input OpSchema + :return: the equivalent NodeProto + """ + + node_proto = NodeProto() + for attribute in schema.attributes: + attr_value = schema.attributes[attribute] + if attr_value.default_value.name == '': + attr_value_new = onnx.helper.make_attribute(attr_value.name,'') + attr_value_new.type = convert_attr_type_to_enum(attr_value) + node_proto.attribute.append(attr_value_new) + else: + node_proto.attribute.append(attr_value.default_value) + node_proto.op_type = schema.name + node_proto.doc_string = schema.doc + node_proto.name = schema.name + for input_arr in schema.inputs: + input_types = input_arr.types + type_attr = onnx.helper.make_attribute(input_arr.name + '-types', [str(data_type).replace('tensor(', '').replace(')', '') for data_type in input_types]) + node_proto.attribute.append(type_attr) + + if node_proto.input is None: + node_proto.input = [] + node_proto.input.append(input_arr.name) + for output_arr in schema.outputs: + if node_proto.output is None: + node_proto.output = [] + output_types = output_arr.types + type_attr = onnx.helper.make_attribute(output_arr.name + '-types', + [str(data_type).replace('tensor(', '').replace(')', '') for data_type + in output_types]) + node_proto.attribute.append(type_attr) + node_proto.output.append(output_arr.name) + return node_proto + + +nodes = [create_node_from_schema(schema) for schema + in sorted(schemas, key=lambda s: s.name)] + +with open('onnx-op-defs.pb', 'wb') as f: + graph_proto = GraphProto() + graph_proto.node.extend(nodes) + f.write(graph_proto.SerializeToString()) + # for node in nodes: + # message_to_string = text_format.MessageToString(node, as_utf8=True) + # node_2 = load_node(message_to_string) + # f.write(message_to_string + '----f\n') + +# with open('onnx.pbtxt','r') as f: +# nodes = [load_node(node_str) for node_str in f.read().split('----f\n')] +# print(nodes) diff --git a/contrib/codegen-tools/onnx-def-gen/save_test.py b/contrib/codegen-tools/onnx-def-gen/save_test.py new file mode 100644 index 000000000..664c60c8e --- /dev/null +++ b/contrib/codegen-tools/onnx-def-gen/save_test.py @@ -0,0 +1,29 @@ +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ + +import tensorflow as tf +from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2 + +def graph_as_func(): + S = tf.Variable(tf.constant([1, 2, 3, 4])) + result = tf.scatter_add(S, [0], [10]) + return result +a_function_that_uses_a_graph = tf.function(graph_as_func) +print(a_function_that_uses_a_graph.__attr__) +converted = convert_variables_to_constants_v2(a_function_that_uses_a_graph) +print(type(converted)) \ No newline at end of file diff --git a/contrib/codegen-tools/onnx-def-gen/test_onnx_lenet.py b/contrib/codegen-tools/onnx-def-gen/test_onnx_lenet.py new file mode 100644 index 000000000..70d0284b6 --- /dev/null +++ b/contrib/codegen-tools/onnx-def-gen/test_onnx_lenet.py @@ -0,0 +1,20 @@ +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ + +import onnx +loaded = onnx.load('lenet.onnx') \ No newline at end of file diff --git a/contrib/codegen-tools/onnx-def-gen/test_op_def_gen.py b/contrib/codegen-tools/onnx-def-gen/test_op_def_gen.py new file mode 100644 index 000000000..2b2dacf3a --- /dev/null +++ b/contrib/codegen-tools/onnx-def-gen/test_op_def_gen.py @@ -0,0 +1,35 @@ +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ + +from onnx_tf.common import attr_converter,attr_translator +from onnx_tf.handlers.backend import * +import onnx_tf +import onnx_tf.handlers.handler +import sys,inspect +import tensorflow as tf +from onnx_tf.backend import TensorflowBackend + + +current_module = sys.modules['onnx_tf.handlers.backend'] +modules = inspect.getmembers(current_module) +for name, obj in modules: + obj_modules = inspect.getmembers(obj) + for name2,module2 in obj_modules: + if inspect.isclass(module2): + result = module2 + print(module2) \ No newline at end of file diff --git a/contrib/formatter.xml b/contrib/formatter.xml index d6cc96bf6..9d9f77876 100644 --- a/contrib/formatter.xml +++ b/contrib/formatter.xml @@ -1,19 +1,23 @@ - + diff --git a/datavec/buildmultiplescalaversions.sh b/datavec/buildmultiplescalaversions.sh index b0367f06c..148b00885 100755 --- a/datavec/buildmultiplescalaversions.sh +++ b/datavec/buildmultiplescalaversions.sh @@ -1,19 +1,23 @@ #! /bin/bash -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. # -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ BASEDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" diff --git a/datavec/datavec-api/pom.xml b/datavec/datavec-api/pom.xml index 0b01863f6..d7fcf5a47 100644 --- a/datavec/datavec-api/pom.xml +++ b/datavec/datavec-api/pom.xml @@ -1,29 +1,35 @@ - + + + + + 4.0.0 - - datavec-parent org.datavec + datavec-parent 1.0.0-SNAPSHOT - jar - 4.0.0 datavec-api @@ -31,12 +37,10 @@ org.apache.commons commons-lang3 - ${commons-lang3.version} commons-io commons-io - ${commons-io.version} commons-codec @@ -46,12 +50,10 @@ org.slf4j slf4j-api - ${slf4j.version} joda-time joda-time - ${jodatime.version} @@ -59,61 +61,37 @@ jackson ${nd4j.version} - org.freemarker freemarker ${freemarker.version} - org.nd4j nd4j-common - ${nd4j.version} - org.nd4j nd4j-api - ${nd4j.version} - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - - - - ch.qos.logback - logback-classic - ${logback.version} - test - - com.clearspring.analytics stream ${stream.analytics.version} - net.sf.opencsv opencsv ${opencsv.version} - com.tdunning t-digest ${tdigest.version} - it.unimi.dsi fastutil diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configurable.java b/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configurable.java index d856d1bda..a9f704a49 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configurable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configurable.java @@ -1,23 +1,26 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.conf; -/** Something that may be configured with a {@link Configuration}. */ public interface Configurable { /** Set the configuration to be used by this object. */ diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configuration.java b/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configuration.java index 9ea2f5ad3..9aa1cf6d0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configuration.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configuration.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.conf; @@ -44,71 +48,6 @@ import java.util.regex.Matcher; import java.util.regex.Pattern; import java.util.regex.PatternSyntaxException; -/** - * Provides access to configuration parameters. - * - *

Resources

- * - *

Configurations are specified by resources. A resource contains a set of - * name/value pairs as XML data. Each resource is named by either a - * String or a Path. If named by a - * String, then the classpath is examined for a file with that - * name. If named by a Path, then the local filesystem is - * examined directly, without referring to the classpath. - * - *

Unless explicitly turned off, Hadoop by default specifies two - * resources, loaded in-order from the classpath:

    - *
  1. core-default.xml - * : Read-only defaults for hadoop.
    2. - *
  2. core-site.xml: Site-specific configuration for a given hadoop - * installation.
    3. - *
- * Applications may add additional resources, which are loaded - * subsequent to these resources in the order they are added. - * - *

Final Parameters

- * - *

Configuration parameters may be declared final. - * Once a resource declares a value final, no subsequently-loaded - * resource can alter that value. - * For example, one might define a final parameter with: - * 

- *  <property>
- *    <name>dfs.client.buffer.dir</name>
- *    <value>/tmp/hadoop/dfs/client</value>
- *    <final>true</final>
- *  </property>
- * - * Administrators typically define parameters as final in - * core-site.xml for values that user applications may not alter. - * - *

Variable Expansion

- * - *

Value strings are first processed for variable expansion. The - * available properties are:

    - *
  1. Other properties defined in this Configuration; and, if a name is - * undefined here,
    2. - *
  2. Properties in {@link System#getProperties()}.
    3. - *
- * - *

For example, if a configuration resource contains the following property - * definitions: - * 

- *  <property>
- *    <name>basedir</name>
- *    <value>/user/${user.name}</value>
- *  </property>
- *
- *  <property>
- *    <name>tempdir</name>
- *    <value>${basedir}/tmp</value>
- *  </property>
- * - * When conf.get("tempdir") is called, then ${basedir} - * will be resolved to another property in this Configuration, while - * ${user.name} would then ordinarily be resolved to the value - * of the System property with that name. - */ public class Configuration implements Iterable>, Writable, Serializable { private static final Logger LOG = LoggerFactory.getLogger(Configuration.class); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configured.java b/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configured.java index d41088baf..5c5b6e1e7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configured.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/conf/Configured.java @@ -1,22 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.conf; -/** Base class for things that may be configured with a {@link Configuration}. */ public class Configured implements Configurable { private Configuration conf; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/DataVecException.java b/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/DataVecException.java index 335afdb0f..960a2cd05 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/DataVecException.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/DataVecException.java @@ -1,25 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.exceptions; -/** - * DataVec exception - * @author Adam Gibson - */ public class DataVecException extends Exception { public DataVecException() { super(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/UnknownFormatException.java b/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/UnknownFormatException.java index 4498d0c0d..537ad194f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/UnknownFormatException.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/exceptions/UnknownFormatException.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.exceptions; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/BaseInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/BaseInputFormat.java index 3b995bc19..431a9546d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/BaseInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/BaseInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/InputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/InputFormat.java index 86623a6a5..5814af57c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/InputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/InputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input; @@ -24,11 +28,6 @@ import org.datavec.api.writable.Writable; import java.io.IOException; -/** - * Create an input format - * - * @author Adam Gibson - */ public interface InputFormat extends Writable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/CSVInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/CSVInputFormat.java index ad06112ab..d2d7e59ff 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/CSVInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/CSVInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input.impl; @@ -27,10 +31,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** - * Line input format creates an @link{LineRecordReader} - * @author Adam Gibson - */ public class CSVInputFormat extends BaseInputFormat { @Override public RecordReader createReader(InputSplit split, Configuration conf) throws IOException, InterruptedException { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LibSvmInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LibSvmInputFormat.java index 393175c3c..beccfc235 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LibSvmInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LibSvmInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LineInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LineInputFormat.java index 8f20f0959..987f77451 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LineInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/LineInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input.impl; @@ -27,10 +31,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** - * Line input format creates an @link{LineRecordReader} - * @author Adam Gibson - */ public class LineInputFormat extends BaseInputFormat { @Override public RecordReader createReader(InputSplit split, Configuration conf) throws IOException, InterruptedException { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/ListStringInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/ListStringInputFormat.java index 6764c37d4..be399a7a7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/ListStringInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/ListStringInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input.impl; @@ -27,10 +31,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** - * Input format for the @link {ListStringRecordReader} - * @author Adam Gibson - */ public class ListStringInputFormat implements InputFormat { /** * Creates a reader from an input split diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/MatlabInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/MatlabInputFormat.java index c52436095..2fb55506b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/MatlabInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/MatlabInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/SVMLightInputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/SVMLightInputFormat.java index 43f0f9665..dfe1b0d86 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/SVMLightInputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/input/impl/SVMLightInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.input.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/OutputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/OutputFormat.java index d74c651b5..e66e37a6d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/OutputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/OutputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.output; @@ -21,10 +25,6 @@ import org.datavec.api.conf.Configuration; import org.datavec.api.exceptions.DataVecException; import org.datavec.api.records.writer.RecordWriter; -/** - * Create a record writer - * @author Adam Gibson - */ public interface OutputFormat { public static final String OUTPUT_PATH = "org.nd4j.outputpath"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/CSVOutputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/CSVOutputFormat.java index d8c06394e..2d97ce2d2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/CSVOutputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/CSVOutputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.output.impl; @@ -23,11 +27,6 @@ import org.datavec.api.formats.output.OutputFormat; import org.datavec.api.records.writer.RecordWriter; import org.datavec.api.records.writer.impl.csv.CSVRecordWriter; -/** - * Creates an @link{CSVRecordWriter} - * - * @author Adam Gibson - */ public class CSVOutputFormat implements OutputFormat { @Override public RecordWriter createWriter(Configuration conf) throws DataVecException { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LibSvmOutputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LibSvmOutputFormat.java index a5f8f8fcd..5a9dce130 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LibSvmOutputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LibSvmOutputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.output.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LineOutputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LineOutputFormat.java index c2d6dfa8e..4e23683b5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LineOutputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/LineOutputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.output.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/SVMLightOutputFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/SVMLightOutputFormat.java index e737b72a0..2987c5de0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/SVMLightOutputFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/formats/output/impl/SVMLightOutputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.formats.output.impl; @@ -24,9 +28,6 @@ import org.datavec.api.formats.output.OutputFormat; import org.datavec.api.records.writer.RecordWriter; import org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter; -/** - * Created by agibsonccc on 1/11/15. - */ public class SVMLightOutputFormat implements OutputFormat { @Override public RecordWriter createWriter(Configuration conf) throws DataVecException { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/BinaryComparable.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/BinaryComparable.java index 51fec4a4e..4f19f0b78 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/BinaryComparable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/BinaryComparable.java @@ -1,25 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; -/** - * Interface supported by {@link org.apache.hadoop.io.WritableComparable} - * types supporting ordering/permutation by a representative set of bytes. - */ public abstract class BinaryComparable implements Comparable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/DataInputBuffer.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/DataInputBuffer.java index 786053f56..7491f95bd 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/DataInputBuffer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/DataInputBuffer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; @@ -20,24 +24,6 @@ import java.io.ByteArrayInputStream; import java.io.DataInput; import java.io.DataInputStream; -/** A reusable {@link DataInput} implementation that reads from an in-memory - * buffer. - * - *

This saves memory over creating a new DataInputStream and - * ByteArrayInputStream each time data is read. - * - *

Typical usage is something like the following:

- *
- * DataInputBuffer buffer = new DataInputBuffer();
- * while (... loop condition ...) {
- *   byte[] data = ... get data ...;
- *   int dataLength = ... get data length ...;
- *   buffer.reset(data, dataLength);
- *   ... read buffer using DataInput methods ...
- * }
- *
- * - */ public class DataInputBuffer extends DataInputStream { private static class Buffer extends ByteArrayInputStream { public Buffer() { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/DataOutputBuffer.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/DataOutputBuffer.java index fb35208fb..105ee2717 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/DataOutputBuffer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/DataOutputBuffer.java @@ -1,42 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; import java.io.*; -/** A reusable {@link DataOutput} implementation that writes to an in-memory - * buffer. - * - *

This saves memory over creating a new DataOutputStream and - * ByteArrayOutputStream each time data is written. - * - *

Typical usage is something like the following:

- *
- * DataOutputBuffer buffer = new DataOutputBuffer();
- * while (... loop condition ...) {
- *   buffer.reset();
- *   ... write buffer using DataOutput methods ...
- *   byte[] data = buffer.getData();
- *   int dataLength = buffer.getLength();
- *   ... write data to its ultimate destination ...
- * }
- *
- * - */ public class DataOutputBuffer extends DataOutputStream { private static class Buffer extends ByteArrayOutputStream { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/RawComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/RawComparator.java index ce57152ba..4e3d056eb 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/RawComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/RawComparator.java @@ -1,31 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; import java.util.Comparator; -/** - *

- * A {@link Comparator} that operates directly on byte representations of - * objects. - *

- * @param - */ public interface RawComparator extends Comparator { public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparable.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparable.java index 895cd913c..955207efc 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparable.java @@ -1,56 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; import org.datavec.api.writable.Writable; -/** - * A {@link Writable} which is also {@link Comparable}. - * - *

WritableComparables can be compared to each other, typically - * via Comparators. Any type which is to be used as a - * key in the Hadoop Map-Reduce framework should implement this - * interface.

- * - *

Example:

- * 

- *     public class MyWritableComparable implements WritableComparable {
- *       // Some data
- *       private int counter;
- *       private long timestamp;
- *
- *       public void write(DataOutput out) throws IOException {
- *         out.writeInt(counter);
- *         out.writeLong(timestamp);
- *       }
- *
- *       public void readFields(DataInput in) throws IOException {
- *         counter = in.readInt();
- *         timestamp = in.readLong();
- *       }
- *
- *       public int compareTo(MyWritableComparable w) {
- *         int thisValue = this.value;
- *         int thatValue = ((IntWritable)o).value;
- *         return (thisValue < thatValue ? -1 : (thisValue==thatValue ? 0 : 1));
- *       }
- *     }
- *

- */ public interface WritableComparable extends Writable, Comparable { } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparator.java index bc7109a2c..dca11278e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; @@ -25,15 +29,6 @@ import java.io.IOException; import java.util.HashMap; -/** A Comparator for {@link WritableComparable}s. - * - *

This base implemenation uses the natural ordering. To define alternate - * orderings, override {@link #compare(WritableComparable,WritableComparable)}. - * - *

One may optimize compare-intensive operations by overriding - * {@link #compare(byte[],int,int,byte[],int,int)}. Static utility methods are - * provided to assist in optimized implementations of this method. - */ public class WritableComparator implements RawComparator { private static HashMap comparators = new HashMap<>(); // registry diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableConverter.java index 914bb26cb..9afc8fa56 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableConverter.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; import org.datavec.api.io.converters.WritableConverterException; import org.datavec.api.writable.Writable; -/** - * Convert a writable to another writable (used for say: transitioning dates or categorical to numbers) - * - * @author Adam Gibson - */ public interface WritableConverter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableUtils.java index 38cb222e5..d35d69d4f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/WritableUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/DoubleWritableConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/DoubleWritableConverter.java index 5250b2ee1..eb2a09f2b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/DoubleWritableConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/DoubleWritableConverter.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.converters; import org.datavec.api.io.WritableConverter; import org.datavec.api.writable.*; -/** - * Convert a writable to a - * double - * @author Adam Gibson - */ public class DoubleWritableConverter implements WritableConverter { @Override public Writable convert(Writable writable) throws WritableConverterException { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/FloatWritableConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/FloatWritableConverter.java index 06c0ca853..16ee74e52 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/FloatWritableConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/FloatWritableConverter.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.converters; import org.datavec.api.io.WritableConverter; import org.datavec.api.writable.*; -/** - * Convert a writable to a - * double - * @author Adam Gibson - */ public class FloatWritableConverter implements WritableConverter { @Override public Writable convert(Writable writable) throws WritableConverterException { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/LabelWriterConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/LabelWriterConverter.java index 1ed0a9490..6dc7c807e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/LabelWriterConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/LabelWriterConverter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.converters; @@ -22,12 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Convert a label in to an index based on the - * - * - * @author Adam Gibson - */ public class LabelWriterConverter implements WritableConverter { private List labels; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/SelfWritableConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/SelfWritableConverter.java index bee36b40d..1e07532b3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/SelfWritableConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/SelfWritableConverter.java @@ -1,28 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.converters; import org.datavec.api.io.WritableConverter; import org.datavec.api.writable.Writable; -/** - * Baseline writable converter - * @author Adam Gibson - */ public class SelfWritableConverter implements WritableConverter { @Override public Writable convert(Writable writable) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/WritableConverterException.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/WritableConverterException.java index 37fc0b1f3..613312f58 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/WritableConverterException.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/converters/WritableConverterException.java @@ -1,26 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.converters; -/** - * Writable converter exception represents an error - * for being unable to convert a writable - * @author Adam Gibson - */ public class WritableConverterException extends Exception { public WritableConverterException() {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/BalancedPathFilter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/BalancedPathFilter.java index 7ac860d8a..3a58cc3a7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/BalancedPathFilter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/BalancedPathFilter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.filters; @@ -23,13 +27,6 @@ import org.datavec.api.writable.Writable; import java.net.URI; import java.util.*; -/** - * Randomizes the order of paths in an array and removes paths randomly - * to have the same number of paths for each label. Further interlaces the paths - * on output based on their labels, to obtain easily optimal batches for training. - * - * @author saudet - */ public class BalancedPathFilter extends RandomPathFilter { protected PathLabelGenerator labelGenerator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/PathFilter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/PathFilter.java index bf30d4d98..fd51cd567 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/PathFilter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/PathFilter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.filters; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/RandomPathFilter.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/RandomPathFilter.java index 67660cb4f..5d4c503da 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/RandomPathFilter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/filters/RandomPathFilter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.filters; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/ParentPathLabelGenerator.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/ParentPathLabelGenerator.java index 1d6096a2e..a68a7e2c5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/ParentPathLabelGenerator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/ParentPathLabelGenerator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.labels; @@ -23,11 +27,6 @@ import org.datavec.api.writable.Writable; import java.io.File; import java.net.URI; -/** - * Returns as label the base name of the parent file of the path (the directory). - * - * @author saudet - */ public class ParentPathLabelGenerator implements PathLabelGenerator { public ParentPathLabelGenerator() {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathLabelGenerator.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathLabelGenerator.java index 3ffb924a8..5995c4967 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathLabelGenerator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathLabelGenerator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.labels; @@ -21,17 +25,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.net.URI; -/** - * PathLabelGenerator: interface to infer the label of a file directly from the path of a file
- * Example: /negative/file17.csv -> class "0"; /positive/file116.csv -> class "1" etc.
- * Though note that the output is a writable, hence it need not be numerical.
- *

- * For use cases where multiple Writables are required (for example, networks with mixed classification/regression, - * or multiple output layers) use {@link PathMultiLabelGenerator} instead. - * - * @author Alex Black - * @see PathMultiLabelGenerator - */ public interface PathLabelGenerator extends Serializable { Writable getLabelForPath(String path); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathMultiLabelGenerator.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathMultiLabelGenerator.java index 4b3bf41f3..0332353de 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathMultiLabelGenerator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PathMultiLabelGenerator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.labels; @@ -21,35 +25,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * PathMultiLabelGenerator: interface to infer the label(s) of a file directly from the URI/path
- * Similar to {@link PathLabelGenerator}, with 2 main differences:
- * (a) Can be used for multi-label, multi-class classification (i.e., return *multiple* NDArray writables, for use in - * networks with multiple output layers)
- * (b) Does not support inferring label classes
- *
- * Regarding (b) above, this means that the implementations of PathMultiLabelGenerator typically need to (for classification - * use cases) do one of two things (either will work, though down-stream usage of these arrays can vary slightly): - * (a) Perform label to integer index assignment (i.e., return an IntWritable(0) for A, if you have 3 classes {A,B,C}) - * (b) Create a one-hot NDArrayWritable. For 3 classes {A,B,C} you should return a [1,0,0], [0,1,0] or [0,0,1] NDArrayWritable
- * Comparatively, PathLabelGenerator can return a Text writable with the label (i.e., "class_3" or "cat") for classification.
- *
- * More generally, PathMultiLabelGenerator must return Writables of one of the following types: - * {@link org.datavec.api.writable.DoubleWritable}, {@link org.datavec.api.writable.FloatWritable}, - * {@link org.datavec.api.writable.IntWritable}, {@link org.datavec.api.writable.LongWritable} or - * {@link org.datavec.api.writable.NDArrayWritable}.
- * NDArrayWritable is used for classification (via one-hot NDArrayWritable) or multi-output regression (where all values - * are grouped together into a single array/writable) - whereas the others (double/float/int/long writables) are - * typically used for single output regression cases, or (IntWritable) for classification where downstream classes (notably - * DL4J's RecordReader(Multi)DataSetIterator) will convert the integer index (IntWritable) to a one-hot array ready for - * training.
- *
- * In principle, you can also return time series (3d - shape [1,size,seqLength]) or images (4d - shape - * [1,channels,height,width]) as a "label" for a given input image. - * - * @author Alex Black - * @see PathLabelGenerator - */ public interface PathMultiLabelGenerator extends Serializable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PatternPathLabelGenerator.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PatternPathLabelGenerator.java index c976dc08a..96265b0c1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PatternPathLabelGenerator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/labels/PatternPathLabelGenerator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.labels; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Deserializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Deserializer.java index db0192b60..d0d35fcec 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Deserializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Deserializer.java @@ -1,37 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.serializers; import java.io.IOException; import java.io.InputStream; -/** - *

- * Provides a facility for deserializing objects of type from an - * {@link InputStream}. - *

- * - *

- * Deserializers are stateful, but must not buffer the input since - * other producers may read from the input between calls to - * {@link #deserialize(Object)}. - *

- * @param - */ public interface Deserializer { /** *

Prepare the deserializer for reading.

diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serialization.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serialization.java index eedab7df4..13ddfcc78 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serialization.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serialization.java @@ -1,27 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.serializers; -/** - *

- * Encapsulates a {@link Serializer}/{@link Deserializer} pair. - *

- * @param - */ public interface Serialization { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/SerializationFactory.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/SerializationFactory.java index e9a7ae7f9..fc60b8fdc 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/SerializationFactory.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/SerializationFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.serializers; @@ -27,11 +31,6 @@ import org.slf4j.LoggerFactory; import java.util.ArrayList; import java.util.List; -/** - *

- * A factory for {@link Serialization}s. - *

- */ public class SerializationFactory extends Configured { private static final Logger LOG = LoggerFactory.getLogger(SerializationFactory.class.getName()); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serializer.java index 59cd01de0..ea5012136 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/io/serializers/Serializer.java @@ -1,37 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.io.serializers; import java.io.IOException; import java.io.OutputStream; -/** - *

- * Provides a facility for serializing objects of type to an - * {@link OutputStream}. - *

- * - *

- * Serializers are stateful, but must not buffer the output since - * other producers may write to the output between calls to - * {@link #serialize(Object)}. - *

- * @param - */ public interface Serializer { /** *

Prepare the serializer for writing.

diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/Buffer.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/Buffer.java index 1ae3ec7f5..8c6dbfa1f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/Buffer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/Buffer.java @@ -1,29 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records; import java.io.UnsupportedEncodingException; -/** - * A byte sequence that is used as a Java native type for buffer. - * It is resizable and distinguishes between the count of the sequence and - * the current capacity. - * - */ public class Buffer implements Comparable, Cloneable { /** Number of valid bytes in this.bytes. */ private int count; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/IOUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/IOUtils.java index 34937e01d..f1fdbb39b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/IOUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/IOUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records; @@ -23,9 +27,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** - * Various utility functions for Hadooop record I/O runtime. - */ public class IOUtils { /** Cannot create a new instance of IOUtils */ diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/Index.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/Index.java index c137e0b99..e3acd599e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/Index.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/Index.java @@ -1,34 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records; -/** - * Interface that acts as an iterator for deserializing maps. - * The deserializer returns an instance that the record uses to - * read vectors and maps. An example of usage is as follows: - * - * - * Index idx = startVector(...); - * while (!idx.done()) { - * .... // read element of a vector - * idx.incr(); - * } - * - */ public interface Index { boolean done(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/Record.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/Record.java index 01e8b9c54..93c89685e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/Record.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/Record.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records; @@ -22,14 +26,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * A Record contains a set of values for a single example or instance. Each value in the Record is represented by - * a {@link Writable} object. The record may (optionally) also have a {@link RecordMetaData} instance, that represents - * metadata (source location, etc) for the record.
- * For sequences, see {@link SequenceRecord} - * - * @author Alex Black - */ public interface Record extends Serializable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/SequenceRecord.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/SequenceRecord.java index 3203f3bfb..6fbb68913 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/SequenceRecord.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/SequenceRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records; @@ -22,18 +26,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * A SequenceRecord contains a set of values for a single sequence or time series (usually with multiple values per time step, - * and multiple time steps).
- * Each value in the Record is represented by {@link Writable} object; each time step is thus a {@code List} and - * the entire sequence is represented by a {@code List>}, where the outer list is over time steps, and - * the inner list is over values for a given time step.
- * The SequenceRecord may (optionally) also have a {@link RecordMetaData} instance, that represents metadata (source - * location, etc) for the record.
- * For standard (non-sequential) data, see {@link Record} - * - * @author Alex Black - */ public interface SequenceRecord extends Serializable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/converter/RecordReaderConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/converter/RecordReaderConverter.java index 48d7d8334..a96f960b0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/converter/RecordReaderConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/converter/RecordReaderConverter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.converter; @@ -23,12 +27,6 @@ import org.datavec.api.records.writer.SequenceRecordWriter; import java.io.IOException; -/** - * A utility class to aid in the conversion of data from one {@link RecordReader} to one {@link RecordWriter}, - * or from one {@link SequenceRecordReader} to one {@link SequenceRecordWriter} - * - * @author Alex Black - */ public class RecordReaderConverter { private RecordReaderConverter() { } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/Record.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/Record.java index 1357354d9..7024a718d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/Record.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/Record.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.impl; @@ -23,11 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * A standard implementation of the {@link org.datavec.api.records.Record} interface - * - * @author Alex Black - */ @AllArgsConstructor @Data public class Record implements org.datavec.api.records.Record { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/SequenceRecord.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/SequenceRecord.java index c253b8050..11b7ae5c0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/SequenceRecord.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/impl/SequenceRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.impl; @@ -23,11 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * A standard implementation of the {@link org.datavec.api.records.SequenceRecord} interface. - * - * @author Alex Black - */ @AllArgsConstructor @Data public class SequenceRecord implements org.datavec.api.records.SequenceRecord { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/RecordListener.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/RecordListener.java index 3929635d6..efa99230b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/RecordListener.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/RecordListener.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.listener; @@ -21,11 +25,6 @@ import org.datavec.api.records.writer.RecordWriter; import java.io.Serializable; -/** - * Each time a record is read or written, mainly used for debugging or visualization. - * - * @author saudet - */ public interface RecordListener extends Serializable { /** * Get if listener invoked. diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/impl/LogRecordListener.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/impl/LogRecordListener.java index c262c238a..c63463dfa 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/impl/LogRecordListener.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/listener/impl/LogRecordListener.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.listener.impl; @@ -22,11 +26,6 @@ import org.datavec.api.records.writer.RecordWriter; import org.slf4j.Logger; import org.slf4j.LoggerFactory; -/** - * A record listener that logs every record to be read or written. - * - * @author saudet - */ public class LogRecordListener implements RecordListener { private static final Logger log = LoggerFactory.getLogger(LogRecordListener.class); private boolean invoked = false; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/mapper/RecordMapper.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/mapper/RecordMapper.java index b7c9f2301..29a1abccc 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/mapper/RecordMapper.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/mapper/RecordMapper.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.mapper; @@ -28,38 +32,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * This takes data from a specified {@link RecordReader} - * and writes the data out with the specified {@link RecordWriter}. - * - * The setup is as follows: - * - * Specify a {@link RecordReader} as the data source - * Specify a {@link RecordWriter} as the destination. - * - * When setting up the locations, use 2 different {@link InputSplit} - * callling {@link RecordWriter#initialize(InputSplit, Partitioner)} - * and {@link RecordReader#initialize(InputSplit)} - * respectively to configure the locations of where the data will be - * read from and written to. - * - * When writing the data, you need to specify a link {@link Partitioner} to - * determine how to slice up the data being written (say in to number of lines per record per file - * per {@link org.datavec.api.split.partition.NumberOfRecordsPartitioner} among other implementations. - * - * Finally, you may specify a batch size for batch read and write if the record reader and writer support it. - * - * Of note, is you can also specify multiple readers. - * In which case, it will read from every stream jointly and write out the specified - * writer accordingly. - * - * {@link #copy()} will work the same with the following exceptions, you must specify - * {@link #splitPerReader} (one split per reader) - * {@link #readersToConcat} and the readers which will be read from - * writing to the same record writer. - * - * See {@link #copy()} for more information here. - */ @Builder public class RecordMapper { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaData.java index dee1e22d4..4a44b48c2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaData.java @@ -1,33 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; import java.io.Serializable; import java.net.URI; -/** - * RecordMetaData includes details on the record itself - for example, the source file or line number.
- * It is used in conjunction with {@link org.datavec.api.records.reader.RecordReaderMeta}.
- * There are two primary uses:
- * (a) Tracking where a record has come from, for debugging purposes for example
- * (b) Loading the raw data again later, from the record reader
- * - * @author Alex Black - */ public interface RecordMetaData extends Serializable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposable.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposable.java index fd8513cd9..16cacb0d6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -20,11 +24,6 @@ import lombok.Data; import java.net.URI; -/** - * A RecordMetaData instance that combines multiple individual RecordMetaData instances - * - * @author Alex Black - */ @Data public class RecordMetaDataComposable implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposableMap.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposableMap.java index 93fbdab01..bd6c0853e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposableMap.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataComposableMap.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -21,11 +25,6 @@ import lombok.Data; import java.net.URI; import java.util.Map; -/** - * A RecordMetaData instance that combines multiple individual RecordMetaData instances, via a {@code Map} - * - * @author Alex Black - */ @Data public class RecordMetaDataComposableMap implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataImageURI.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataImageURI.java index 01ea93899..f96746205 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataImageURI.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataImageURI.java @@ -1,30 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; import java.net.URI; import lombok.Data; -/** - * A RecordMetaDataURI that also keeps track of the number of channels, - * the width, and the height of the original image. - * - * @author saudet - */ @Data public class RecordMetaDataImageURI extends RecordMetaDataURI { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataIndex.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataIndex.java index 5da0f4bca..1ae81c7e8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataIndex.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataIndex.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -21,13 +25,6 @@ import lombok.Data; import java.net.URI; -/** - * A general-purpose RecordMetaData implementation, with an index (long value)
- * Used for example in {@link org.datavec.api.records.reader.impl.collection.CollectionRecordReader} and - * {@link org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader} - * - * @author Alex Black - */ @AllArgsConstructor @Data public class RecordMetaDataIndex implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataInterval.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataInterval.java index 0c2ac9709..d576b7db1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataInterval.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataInterval.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -21,11 +25,6 @@ import lombok.Data; import java.net.URI; -/** - * A general-purpose RecordMetaData implementation, with two indices (long values), generally forming an interval - * - * @author Alex Black - */ @AllArgsConstructor @Data public class RecordMetaDataInterval implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLine.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLine.java index 9c1c26024..d775ad12d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLine.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLine.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -22,11 +26,6 @@ import org.apache.commons.io.FilenameUtils; import java.net.URI; -/** - * A RecordMetaData instance for a line number, generall in a file - * - * @author Alex Black - */ @AllArgsConstructor @Data public class RecordMetaDataLine implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLineInterval.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLineInterval.java index 9556c5bd7..7d600b2c7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLineInterval.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataLineInterval.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -22,11 +26,6 @@ import org.apache.commons.io.FilenameUtils; import java.net.URI; -/** - * A RecordMetaData instance for an interval of line numbers, generally in a file - * - * @author Alex Black - */ @AllArgsConstructor @Data public class RecordMetaDataLineInterval implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataURI.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataURI.java index 9683bf767..64d6ecb9f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataURI.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/metadata/RecordMetaDataURI.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.metadata; @@ -21,11 +25,6 @@ import lombok.Data; import java.net.URI; -/** - * A standard RecordMetaData instance that contains a URI only - * - * @author Alex Black - */ @AllArgsConstructor @Data public class RecordMetaDataURI implements RecordMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/BaseRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/BaseRecordReader.java index 99e26b8f2..1014dfce4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/BaseRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/BaseRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader; @@ -31,11 +35,6 @@ import java.util.Arrays; import java.util.Collection; import java.util.List; -/** - * Manages record listeners. - * - * @author saudet - */ public abstract class BaseRecordReader implements RecordReader { protected InputSplit inputSplit; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/RecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/RecordReader.java index c21219a3a..a3dfbbd70 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/RecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/RecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader; @@ -32,11 +36,6 @@ import java.net.URI; import java.util.Collection; import java.util.List; -/** - * Record reader - * - * @author Adam Gibson - */ public interface RecordReader extends Closeable, Serializable, Configurable { String NAME_SPACE = RecordReader.class.getName(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/SequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/SequenceRecordReader.java index b4dd18b7e..69fe24d5a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/SequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/SequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader; @@ -26,12 +30,6 @@ import java.io.IOException; import java.net.URI; import java.util.List; -/** - * A sequence of records. - * sequenceRecord() is used locally. sequenceRecord(URI uri, DataInputStream dataInputStream) is used for spark etc. - * - * @author Adam Gibson - */ public interface SequenceRecordReader extends RecordReader { /** * Returns a sequence record. diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordReaderFactory.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordReaderFactory.java index 5ca3f7464..b138a75e6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordReaderFactory.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordReaderFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.factory; @@ -21,11 +25,6 @@ import org.datavec.api.records.reader.RecordReader; import java.net.URI; -/** - * Factory for creating RecordReader instance - * - * @author sonali - */ public interface RecordReaderFactory { /** * Creates instance of RecordReader diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordWriterFactory.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordWriterFactory.java index 05e2ff1df..543495779 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordWriterFactory.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/factory/RecordWriterFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.factory; @@ -20,11 +24,6 @@ import org.datavec.api.records.writer.RecordWriter; import java.net.URI; -/** - * Factory for creating RecordWriter instance - * - * @author sonali - */ public interface RecordWriterFactory { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ComposableRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ComposableRecordReader.java index 325682340..52035e7f1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ComposableRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ComposableRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -33,13 +37,6 @@ import java.util.List; /** * @author sonali */ -/** -RecordReader for each pipeline. Individual record is a concatenation of the two collections. - Create a recordreader that takes recordreaders and iterates over them and concatenates them - hasNext would be the & of all the recordreaders - concatenation would be next & addAll on the collection - return one record - */ public class ComposableRecordReader extends BaseRecordReader { private RecordReader[] readers; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ConcatenatingRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ConcatenatingRecordReader.java index 45a14d1f4..14692114e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ConcatenatingRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/ConcatenatingRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -29,14 +33,6 @@ import java.io.IOException; import java.net.URI; import java.util.List; -/** - * Combine multiple readers into a single reader. Records are read sequentially - thus if the first reader has - * 100 records, and the second reader has 200 records, ConcatenatingRecordReader will have 300 records. - * - * See also {@link ComposableRecordReader} for a version that combines each record from underlying readers. - * - * @author Alex Black - */ public class ConcatenatingRecordReader extends BaseRecordReader { private RecordReader[] readers; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/FileRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/FileRecordReader.java index 3497c14e6..376205d47 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/FileRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/FileRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/LineRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/LineRecordReader.java index c3163f108..94314393e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/LineRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/LineRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionRecordReader.java index 903f9fa0b..760ea75cb 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.collection; @@ -30,12 +34,6 @@ import java.io.IOException; import java.net.URI; import java.util.*; -/** - * Collection record reader. - * Mainly used for testing. - * - * @author Adam Gibson - */ public class CollectionRecordReader extends BaseRecordReader { private Iterator> records; private final Collection> original; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionSequenceRecordReader.java index 776835d11..cf60ba546 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/CollectionSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.collection; @@ -32,12 +36,6 @@ import java.io.IOException; import java.net.URI; import java.util.*; -/** - * Collection record reader for sequences. - * Mainly used for testing. - * - * @author Alex Black - */ public class CollectionSequenceRecordReader extends BaseRecordReader implements SequenceRecordReader { private Iterator>> records; private final Collection>> original; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/ListStringRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/ListStringRecordReader.java index c98579f02..921cef917 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/ListStringRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/collection/ListStringRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.collection; @@ -32,12 +36,6 @@ import java.util.ArrayList; import java.util.Iterator; import java.util.List; -/** - * Iterates through a list of strings return a record. - * Only accepts an @link {ListStringInputSplit} as input. - * - * @author Adam Gibson - */ public class ListStringRecordReader extends BaseRecordReader { private List> delimitedData; private Iterator> dataIter; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVLineSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVLineSequenceRecordReader.java index d83b7fcd1..d2f7e3ffd 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVLineSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVLineSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -29,21 +33,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * CSVLineSequenceRecordReader: Used for loading univariance (single valued) sequences from a CSV, - * where each line in a CSV represents an independent sequence, and each sequence has exactly 1 value - * per time step.
- * For example, a CSV file with content: - * 
- * a,b,c
- * 1,2,3,4
- *
- * will produce two sequences, both with one value per time step; one of length 3 (values a, b, then c for the 3 time steps - * respectively) and one of length 4 (values 1, 2, 3, then 4 for each of the 4 time steps respectively) - * - * - * @author Alex Black - */ public class CSVLineSequenceRecordReader extends CSVRecordReader implements SequenceRecordReader { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVMultiSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVMultiSequenceRecordReader.java index ab80f4bc8..abcc113ae 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVMultiSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVMultiSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -33,40 +37,6 @@ import java.util.Collections; import java.util.List; import java.util.NoSuchElementException; -/** - * CSVMultiSequenceRecordReader: Used to read CSV-format time series (sequence) data where there are multiple - * independent sequences in each file.
- * The assumption is that each sequence is separated by some delimiter - for example, a blank line between sequences, - * or some other line that can be detected by a regex.
- * Note that the number of columns (i.e., number of lines in the CSV per sequence) must be the same for all sequences.
- *
- * It supports 3 {@link Mode}s:
- * (a) CONCAT mode: the output is a univariate (single column) sequence with the values from all lines - * (b) EQUAL_LENGTH: Require that all lines have the exact same number of tokens
- * (c) PAD: For any shorter lines (fewer tokens), a user-specified padding Writable value will be used to make them the same - * length as the other sequences
- *
- * Example:
- * Input data: - * 
- * {@code a,b,c
- *   1,2
- *
- *   A,B,C
- *   D,E,F}
- *
- * Output:
- * (a) CONCAT: two sequences of length 5 and 6 respectively: [a,b,c,1,2] and [A,B,C,D,E,F]
- * (b) EQUAL_LENGTH: Exception: because lines (a,b,c) and (1,2) have different lengths. If the second line was "1,2,3" instead, - * the output would be two sequences with 2 columns each, sequence length 3: [[a,b,c],[1,2,3]] and [[A,B,C],[D,E,F]]
- * (c) PAD: two sequences with 2 columns each, sequence length 3: [[a,b,c],[1,2,PAD]] and [[A,B,C],[D,E,F]], where "PAD" - * is a user-specified padding value
- *
- * Note that the user has to specify a sequence separator regex: for "sequences are separated by an empty line" use "^$" - * - * @author Alex Black - * @see CSVLineSequenceRecordReader CSVLineSequenceRecordReader for the edge case - a univariate version - */ public class CSVMultiSequenceRecordReader extends CSVRecordReader implements SequenceRecordReader { public enum Mode { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVNLinesSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVNLinesSequenceRecordReader.java index 30fe99ac9..71faf9d81 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVNLinesSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVNLinesSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -32,16 +36,6 @@ import java.io.IOException; import java.net.URI; import java.util.*; -/** - * A CSV Sequence record reader where:
- * (a) all time series are in a single file
- * (b) each time series is of the same length (specified in constructor)
- * (c) no delimiter is used between time series
- * - * For example, with nLinesPerSequence=10, lines 0 to 9 are the first time series, 10 to 19 are the second, and so on. - * - * @author Alex Black - */ public class CSVNLinesSequenceRecordReader extends CSVRecordReader implements SequenceRecordReader { public static final String LINES_PER_SEQUENCE = NAME_SPACE + ".nlinespersequence"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRecordReader.java index 81d403db9..e947ebafa 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -37,11 +41,6 @@ import java.util.Collections; import java.util.List; import java.util.NoSuchElementException; -/** - * Simple csv record reader. - * - * @author Adam Gibson - */ public class CSVRecordReader extends LineRecordReader { private boolean skippedLines = false; protected int skipNumLines = 0; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRegexRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRegexRecordReader.java index f368f4bd8..6d0a31a06 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRegexRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVRegexRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -24,12 +28,6 @@ import java.util.List; import java.util.regex.Matcher; import java.util.regex.Pattern; -/** - * A CSVRecordReader that can split - * each column into additional columns using regexs. - * - * @author saudet - */ public class CSVRegexRecordReader extends CSVRecordReader { protected String[] regexs = null; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVSequenceRecordReader.java index a3808edaa..8398bf274 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -30,13 +34,6 @@ import java.io.*; import java.net.URI; import java.util.*; -/** - * CSV Sequence Record Reader - * This reader is intended to read sequences of data in CSV format, where - * each sequence is defined in its own file (and there are multiple files) - * Each line in the file represents one time step - * @author Alex Black - */ public class CSVSequenceRecordReader extends FileRecordReader implements SequenceRecordReader { private int skipNumLines = 0; private String delimiter = ","; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVVariableSlidingWindowRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVVariableSlidingWindowRecordReader.java index 585d5cb13..1a25a2ab4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVVariableSlidingWindowRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/CSVVariableSlidingWindowRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.csv; @@ -30,14 +34,6 @@ import java.io.IOException; import java.net.URI; import java.util.*; -/** - * A sliding window of variable size across an entire CSV. - * - * In practice the sliding window size starts at 1, then linearly increase to maxLinesPer sequence, then - * linearly decrease back to 1. - * - * @author Justin Long (crockpotveggies) - */ public class CSVVariableSlidingWindowRecordReader extends CSVRecordReader implements SequenceRecordReader { public static final String LINES_PER_SEQUENCE = NAME_SPACE + ".nlinespersequence"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/SerializableCSVParser.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/SerializableCSVParser.java index c46cbda8d..f8b033633 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/SerializableCSVParser.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/csv/SerializableCSVParser.java @@ -1,40 +1,30 @@ -package org.datavec.api.records.reader.impl.csv; - -/** - - All contributions by Skymind, Inc. - Copyright (c) 2018 - 2019, Skymind, Inc. - - Original implementation and all contributions by Bytecode Pty Ltd. - Copyright 2005 Bytecode Pty Ltd. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** */ +package org.datavec.api.records.reader.impl.csv; + import java.io.IOException; import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * A very simple CSV parser released under a commercial-friendly license. - * This just implements splitting a single line into fields. - * - * @author Glen Smith - * @author Rainer Pruy - * - * Modified from OpenCSV 2.3 code to be serializable for Java and Kryo - */ public class SerializableCSVParser implements Serializable { private final char separator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchRecordReader.java index 341d77c7b..219a99870 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.filebatch; @@ -34,25 +38,6 @@ import java.util.ArrayList; import java.util.Collection; import java.util.List; -/** - * FileBatchRecordReader reads the files contained in a {@link FileBatch} using the specified RecordReader.
- * Specifically, the {@link RecordReader#record(URI, DataInputStream)} method of the underlying reader is used to - * load files.
- * For example, if the FileBatch was constructed using image files (png, jpg etc), FileBatchRecordReader could be used - * with ImageRecordReader. For example:
- * 
- * {@code
- * List imgFiles = ...;
- * FileBatch fb = FileBatch.forFiles(imgFiles);
- * PathLabelGenerator labelMaker = new ParentPathLabelGenerator();
- * ImageRecordReader rr = new ImageRecordReader(32, 32, 1, labelMaker);
- * rr.setLabels(Arrays.asList("class0", "class1"));
- * FileBatchRecordReader fbrr = new FileBatchRecordReader(rr, fb);
- * }
- *
- * - * @author Alex Black - */ public class FileBatchRecordReader implements RecordReader { private final RecordReader recordReader; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchSequenceRecordReader.java index 4545f58a5..20bdb91b4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/filebatch/FileBatchSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.filebatch; @@ -34,23 +38,6 @@ import java.net.URI; import java.util.Collection; import java.util.List; -/** - * FileBatchSequenceRecordReader reads the files contained in a {@link FileBatch} using the specified SequenceRecordReader.
- * Specifically, the {@link SequenceRecordReader#sequenceRecord(URI, DataInputStream)} } method of the underlying sequence - * reader is used to load files.
- * For example, if the FileBatch was constructed using csv sequence files (each file represents one example), - * FileBatchSequencRecordReader could be used with CSVSequenceRecordReader. For example:
- * 
- * {@code
- * List fileList = ...;
- * FileBatch fb = FileBatch.forFiles(imgFiles);
- * SequenceRecordReader rr = new CSVSequenceRecordReader();
- * FileBatchSequenceRecordReader fbrr = new FileBatchSequenceRecordReader(rr, fb);
- * }
- *
- * - * @author Alex Black - */ public class FileBatchSequenceRecordReader implements SequenceRecordReader { private final SequenceRecordReader recordReader; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemoryRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemoryRecordReader.java index e6a58b090..105b2068a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemoryRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemoryRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.inmemory; @@ -30,13 +34,6 @@ import java.io.IOException; import java.net.URI; import java.util.*; -/** - * This is a {@link RecordReader} - * primarily meant for unit tests. - * It carries records in memory and uses a list iterator internally. - * - * @author Adam Gibson - */ @Data public class InMemoryRecordReader implements RecordReader { private List> records; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemorySequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemorySequenceRecordReader.java index 2faa36a9b..f97e5f28e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemorySequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/inmemory/InMemorySequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.inmemory; @@ -31,13 +35,6 @@ import java.io.IOException; import java.net.URI; import java.util.*; -/** - * This is a {@link SequenceRecordReader} - * primarily meant for unit tests. - * It carries records in memory and uses a list iterator internally. - * - * @author Adam Gibson - */ @Data public class InMemorySequenceRecordReader implements SequenceRecordReader { private List>> records; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/FieldSelection.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/FieldSelection.java index 6f2768e83..08644df9a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/FieldSelection.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/FieldSelection.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.jackson; @@ -23,17 +27,6 @@ import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * FieldSelection is used in conjunction with the {@link JacksonRecordReader} (and the subclasses). - * - * The are a few motivations here:
- * - Formats such as XML, JSON and YAML can contain arbitrarily nested components, and we need to flatten them somehow
- * - These formats can vary in terms of order (for example, JSON is unordered), so we need to define the exact order of outputs for the record reader
- * - In any given JSON/XML/YAML file, there might not be a particular value present (but: we still want it to be represented in the output)
- * - In any given JSON/XML/YAML file, we might want to totally ignore certain fields
- * - * @author Alex Black - */ public class FieldSelection implements Serializable { public static final Writable DEFAULT_MISSING_VALUE = new Text(""); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineRecordReader.java index 4553b82e3..848795be9 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.jackson; @@ -23,32 +27,6 @@ import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.databind.ObjectMapper; -/** - * JacksonLineRecordReader will read a single file line-by-line when .next() is
- * called. It uses Jackson ObjectMapper and FieldSelection to read the fields in
- * each line.
- *
- * Each line should be a valid JSON entry without separator at the end. This is similar
- * to other readers and follows Hadoop convention. Hadoop and Spark use this format to
- * to make sure splits work properly in a cluster environment. For those new to Hadoop
- * file format convention, the reason is a large file can be split into chunks and
- * sent to different nodes in a cluster. If a record spanned multiple lines, split
- * might not get the complete record, which will result in runtime errors and calculation
- * errors. Where and how a job splits a file varies depending on the job configuration
- * and cluster size.
- *
- * A couple of important notes. The reader doesn't automatically create labels for each
- * record like JacksonRecordReader. JacksonRecordReader uses the folder name for the label
- * at runtime. It assumes a top level folder has multiple subfolders. The labels are the - * subfolder names.
- *
- * In the case of JacksonLineRecordReader, you have to provide the labels in the configuration
- * for the training. Please look at the examples in dl4j-examples repository on how to provide - * labels.
- * - * @author peter - * - */ public class JacksonLineRecordReader extends LineRecordReader { private FieldSelection selection; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineSequenceRecordReader.java index 8352f98fc..0c67ef64f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonLineSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.jackson; @@ -33,16 +37,6 @@ import java.util.Iterator; import java.util.List; import java.util.NoSuchElementException; -/** - * The sequence record reader version of {@link JacksonLineRecordReader}.
- * Assumptions here:
- * 1. Each file is a separate record
- * 2. Each line of a file is one step within a sequence
- * See {@link JacksonLineRecordReader} for more details - * - * - * @author Alex Black - */ public class JacksonLineSequenceRecordReader extends FileRecordReader implements SequenceRecordReader { private FieldSelection selection; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonReaderUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonReaderUtils.java index 03826012c..4009477d0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonReaderUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonReaderUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.jackson; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonRecordReader.java index f2c281884..e11be0722 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/jackson/JacksonRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.jackson; @@ -37,29 +41,6 @@ import java.net.URI; import java.nio.charset.StandardCharsets; import java.util.*; -/** - * RecordReader using Jackson.
- * Design for this record reader:
- * - Support for JSON, XML and YAML: one record per file only, via Jackson ObjectMapper:
- *
    - *
  • - JSON: new ObjectMapper(new JsonFactory())
    • - *
  • - YAML: new ObjectMapper(new YAMLFactory()) (requires jackson-dataformat-yaml dependency)
    • - *
  • - XML: new ObjectMapper(new XmlFactory()) (requires jackson-dataformat-xml dependency)
    • - *
- * - User provides a list of fields to load, using {@link FieldSelection}. This complicates configuration for simple structures - * (user has to specify every field to load), however this allows us to parse files where: - *
    - *
  • - The fields in the json/xml/yaml is not in a consistent order (for example, JSON makes no guarantees about order). - * The order of output fields is provided via the FieldSelection object.
    • - *
  • - Fields may be missing in some files (output will include an (optionally) specified writable for the missing value, - * defined again in FieldSelection)
    • - *
  • - The fields in the json/yaml/xml files may have arbitrary nested structure: For example, {@code a: b: c: d: someValue}
    • - *
- * - Optional support for appending a label based on the path of the file, using {@link PathLabelGenerator}
- * - Support for shuffling of records (with an optional RNG seed)
- * - * @author Alex Black - */ public class JacksonRecordReader extends BaseRecordReader { private static final TypeReference> typeRef = new TypeReference>() {}; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/LibSvmRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/LibSvmRecordReader.java index eb902f904..8584d574e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/LibSvmRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/LibSvmRecordReader.java @@ -1,40 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.misc; import lombok.extern.slf4j.Slf4j; import org.datavec.api.conf.Configuration; -/** - * Record reader for libsvm format, which is closely - * related to SVMLight format. Similar to scikit-learn - * we use a single reader for both formats, so this class - * is a subclass of SVMLightRecordReader. - * - * Further details on the format can be found at
- * - http://svmlight.joachims.org/
- * - http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html
- * - http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html - * - * @see SVMLightRecordReader - * - * @author Adam Gibson (original) - * @author dave@skymind.io - */ @Slf4j public class LibSvmRecordReader extends SVMLightRecordReader { public LibSvmRecordReader() { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/MatlabRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/MatlabRecordReader.java index 537ef7469..b9e52f33a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/MatlabRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/MatlabRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.misc; @@ -29,11 +33,6 @@ import java.util.ArrayList; import java.util.Iterator; import java.util.List; -/** - * Matlab record reader - * - * @author Adam Gibson - */ public class MatlabRecordReader extends FileRecordReader { private List> records = new ArrayList<>(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/SVMLightRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/SVMLightRecordReader.java index 0cfde0564..4534162bd 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/SVMLightRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/misc/SVMLightRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.misc; @@ -35,36 +39,6 @@ import java.util.Collections; import java.util.List; import java.util.NoSuchElementException; -/** - * Record reader for SVMLight format, which can generally - * be described as - * - * LABEL INDEX:VALUE INDEX:VALUE ... - * - * SVMLight format is well-suited to sparse data (e.g., - * bag-of-words) because it omits all features with value - * zero. - * - * We support an "extended" version that allows for multiple - * targets (or labels) separated by a comma, as follows: - * - * LABEL1,LABEL2,... INDEX:VALUE INDEX:VALUE ... - * - * This can be used to represent either multitask problems or - * multilabel problems with sparse binary labels (controlled - * via the "MULTILABEL" configuration option). - * - * Like scikit-learn, we support both zero-based and one-based indexing. - * - * Further details on the format can be found at
- * - http://svmlight.joachims.org/
- * - http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html
- * - http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html - * - * @author Adam Gibson (original) - * @author Josh Patterson - * @author dave@skymind.io - */ @Slf4j public class SVMLightRecordReader extends LineRecordReader { /* Configuration options. */ diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexLineRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexLineRecordReader.java index e6d0ab450..298a5d931 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexLineRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexLineRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.regex; @@ -34,17 +38,6 @@ import java.util.List; import java.util.regex.Matcher; import java.util.regex.Pattern; -/** - * RegexLineRecordReader: Read a file, one line at a time, and split it into fields using a regex. - * Specifically, we are using {@link java.util.regex.Pattern} and {@link java.util.regex.Matcher}.
- * To load an entire file using a - * - * Example: Data in format "2016-01-01 23:59:59.001 1 DEBUG First entry message!"
- * using regex String "(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}\\.\\d{3}) (\\d+) ([A-Z]+) (.*)"
- * would be split into 4 Text writables: ["2016-01-01 23:59:59.001", "1", "DEBUG", "First entry message!"] - * - * @author Alex Black - */ public class RegexLineRecordReader extends LineRecordReader { public final static String SKIP_NUM_LINES = NAME_SPACE + ".skipnumlines"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexSequenceRecordReader.java index 61552370b..41b9f2e1b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/regex/RegexSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.regex; @@ -41,21 +45,6 @@ import java.util.List; import java.util.regex.Matcher; import java.util.regex.Pattern; -/** - * RegexSequenceRecordReader: Read an entire file (as a sequence), one line at a time and - * split each line into fields using a regex. - * Specifically, we are using {@link Pattern} and {@link Matcher} to do the splitting into groups - * - * Example: Data in format "2016-01-01 23:59:59.001 1 DEBUG First entry message!"
- * using regex String "(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}\\.\\d{3}) (\\d+) ([A-Z]+) (.*)"
- * would be split into 4 Text writables: ["2016-01-01 23:59:59.001", "1", "DEBUG", "First entry message!"]
- * - * Note: RegexSequenceRecordReader supports multiple error handling modes, via {@link LineErrorHandling}. Invalid - * lines that don't match the provided regex can result in an exception (FailOnInvalid), can be skipped silently (SkipInvalid), - * or skip invalid but log a warning (SkipInvalidWithWarning) - * - * @author Alex Black - */ public class RegexSequenceRecordReader extends FileRecordReader implements SequenceRecordReader { public static final String SKIP_NUM_LINES = NAME_SPACE + ".skipnumlines"; public static final Charset DEFAULT_CHARSET = StandardCharsets.UTF_8; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReader.java index 85c49bfe9..374b54c45 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.transform; @@ -33,14 +37,6 @@ import java.util.Collection; import java.util.List; import java.util.NoSuchElementException; -/** - * This wraps a {@link RecordReader} - * with a {@link TransformProcess} and allows every {@link Record} - * that is returned by the {@link RecordReader} - * to have a transform process applied before being returned. - * - * @author Adam Gibson - */ public class TransformProcessRecordReader implements RecordReader { protected RecordReader recordReader; protected TransformProcess transformProcess; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessSequenceRecordReader.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessSequenceRecordReader.java index 737f41358..48cd6e937 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessSequenceRecordReader.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/reader/impl/transform/TransformProcessSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.transform; @@ -33,13 +37,6 @@ import java.net.URI; import java.util.Collection; import java.util.List; -/** - * This wraps a {@link SequenceRecordReader} with a {@link TransformProcess} - * which will allow every {@link Record} returned from the {@link SequenceRecordReader} - * to be transformed before being returned. - * - * @author Adam Gibson - */ @AllArgsConstructor public class TransformProcessSequenceRecordReader implements SequenceRecordReader { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/RecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/RecordWriter.java index 4bcbd08af..822ebe53a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/RecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/RecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer; @@ -28,10 +32,6 @@ import java.io.Closeable; import java.io.IOException; import java.util.List; -/** - * Record writer - * @author Adam Gibson - */ public interface RecordWriter extends Closeable, Configurable { String APPEND = "org.datavec.api.record.writer.append"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/SequenceRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/SequenceRecordWriter.java index 399d48760..afb517a4b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/SequenceRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/SequenceRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer; @@ -26,11 +30,6 @@ import java.io.Closeable; import java.io.IOException; import java.util.List; -/** - * Sequence record writer - * - * @author Alex Black - */ public interface SequenceRecordWriter extends Closeable, Configurable { String APPEND = "org.datavec.api.record.writer.append"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/FileRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/FileRecordWriter.java index 003db1c8d..42eee74e3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/FileRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/FileRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl; @@ -27,16 +31,6 @@ import java.io.IOException; import java.nio.charset.Charset; import java.nio.charset.StandardCharsets; -/** - * Write to files. - *

- * To set the path and configuration via configuration: - * writeTo: org.datavec.api.records.writer.path - *

- * This is the path used to write to - * - * @author Adam Gibson - */ public abstract class FileRecordWriter implements RecordWriter { public static final Charset DEFAULT_CHARSET = StandardCharsets.UTF_8; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/LineRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/LineRecordWriter.java index 9b6b99087..476eb7235 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/LineRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/LineRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl; @@ -25,10 +29,6 @@ import org.datavec.api.writable.Writable; import java.io.IOException; import java.util.List; -/** - * Line record writer - * @author Adam Gibson - */ public class LineRecordWriter extends FileRecordWriter { public LineRecordWriter() {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/csv/CSVRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/csv/CSVRecordWriter.java index 56456a8d6..1ea232c5c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/csv/CSVRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/csv/CSVRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl.csv; @@ -24,11 +28,6 @@ import org.datavec.api.writable.Writable; import java.io.IOException; import java.util.List; -/** - * Csv record writer - * - * @author Adam Gibson - */ public class CSVRecordWriter extends FileRecordWriter { public static final String DEFAULT_DELIMITER = ","; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/LibSvmRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/LibSvmRecordWriter.java index 20d4204be..5b75e0f42 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/LibSvmRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/LibSvmRecordWriter.java @@ -1,39 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl.misc; import lombok.extern.slf4j.Slf4j; -/** - * Record writer for libsvm format, which is closely - * related to SVMLight format. Similar to scikit-learn - * we use a single writer for both formats, so this class - * is a subclass of SVMLightRecordWriter. - * - * @see SVMLightRecordWriter - * - * Further details on the format can be found at
- * - http://svmlight.joachims.org/
- * - http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html
- * - http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html - * - * @author Adam Gibson (original) - * @author dave@skymind.io - */ @Slf4j public class LibSvmRecordWriter extends SVMLightRecordWriter {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/MatlabRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/MatlabRecordWriter.java index 34522aea1..490c6e39d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/MatlabRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/MatlabRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl.misc; @@ -25,11 +29,6 @@ import org.datavec.api.writable.Writable; import java.io.IOException; import java.util.List; -/** - * Write matlab records - * - * @author Adam Gibson - */ public class MatlabRecordWriter extends FileRecordWriter { public MatlabRecordWriter() {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/SVMLightRecordWriter.java b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/SVMLightRecordWriter.java index 5d19689e0..56db1df58 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/SVMLightRecordWriter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/misc/SVMLightRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl.misc; @@ -29,36 +33,6 @@ import java.io.IOException; import java.util.ArrayList; import java.util.List; -/** - * Record writer for SVMLight format, which can generally - * be described as - * - * LABEL INDEX:VALUE INDEX:VALUE ... - * - * SVMLight format is well-suited to sparse data (e.g., - * bag-of-words) because it omits all features with value - * zero. - * - * We support an "extended" version that allows for multiple - * targets (or labels) separated by a comma, as follows: - * - * LABEL1,LABEL2,... INDEX:VALUE INDEX:VALUE ... - * - * This can be used to represent either multitask problems or - * multilabel problems with sparse binary labels (controlled - * via the "MULTILABEL" configuration option). - * - * Like scikit-learn, we support both zero-based and one-based indexing. - * - * Further details on the format can be found at
- * - http://svmlight.joachims.org/
- * - http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html
- * - http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html - * - * @author Adam Gibson (original) - * @author Josh Patterson - * @author dave@skymind.io - */ @Slf4j public class SVMLightRecordWriter extends FileRecordWriter { /* Configuration options. */ diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/BaseInputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/BaseInputSplit.java index bc997beec..428a1df2e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/BaseInputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/BaseInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/CollectionInputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/CollectionInputSplit.java index 2e669c0e2..918076906 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/CollectionInputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/CollectionInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -22,11 +26,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.Collection; -/** - * A simple InputSplit based on a collection of URIs - * - * @author Alex Black - */ public class CollectionInputSplit extends BaseInputSplit { public CollectionInputSplit(URI[] array){ diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/FileSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/FileSplit.java index ab70d00c1..f4239f9fe 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/FileSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/FileSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -29,11 +33,6 @@ import java.io.*; import java.net.URI; import java.util.*; -/** - * File input split. Splits up a root directory in to files. - * - * @author Adam Gibson - */ public class FileSplit extends BaseInputSplit { protected File rootDir; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/InputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/InputSplit.java index e573392ca..86730aa04 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/InputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/InputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -22,14 +26,6 @@ import java.io.OutputStream; import java.net.URI; import java.util.Iterator; -/** - * An input split. - * Basically, a list of loadable locations - * exposed as an iterator. - * - * - * @author Adam Gibson - */ public interface InputSplit { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/InputStreamInputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/InputStreamInputSplit.java index b2be71274..7e29d6456 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/InputStreamInputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/InputStreamInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -24,15 +28,6 @@ import java.util.Arrays; import java.util.Collections; import java.util.Iterator; -/** - * - * Input stream input split. - * The normal pattern is reading the whole - * input stream and turning that in to a record. - * This is meant for streaming raw data - * rather than normal mini batch pre processing. - * @author Adam Gibson - */ public class InputStreamInputSplit implements InputSplit { private InputStream is; private URI[] location; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/ListStringSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/ListStringSplit.java index f03325a33..0a666571c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/ListStringSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/ListStringSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/NumberedFileInputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/NumberedFileInputSplit.java index cb0f6cab5..039548f2e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/NumberedFileInputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/NumberedFileInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -26,13 +30,6 @@ import java.util.NoSuchElementException; import java.util.regex.Matcher; import java.util.regex.Pattern; -/**InputSplit for sequences of numbered files. - * Example usages:
- * Suppose files are sequenced according to "myFile_100.txt", "myFile_101.txt", ..., "myFile_200.txt" - * then use new NumberedFileInputSplit("myFile_%d.txt",100,200) - * NumberedFileInputSplit utilizes String.format(), hence the requirement for "%d" to represent - * the integer index. - */ @Slf4j public class NumberedFileInputSplit implements InputSplit { private final String baseString; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/OutputStreamInputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/OutputStreamInputSplit.java index cc99e7e3b..44af7930a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/OutputStreamInputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/OutputStreamInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -24,15 +28,6 @@ import java.io.OutputStream; import java.net.URI; import java.util.Iterator; -/** - * - * Input stream input split. - * The normal pattern outputStream reading the whole - * input stream and turning that in to a record. - * This outputStream meant for streaming raw data - * rather than normal mini batch pre processing. - * @author Adam Gibson - */ public class OutputStreamInputSplit implements InputSplit { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/StreamInputSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/StreamInputSplit.java index ca55465ca..5d4ba6c2e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/StreamInputSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/StreamInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -27,18 +31,6 @@ import java.io.OutputStream; import java.net.URI; import java.util.*; -/** - * StreamInputSplit is a way of specifying input as a bunch of URIs, as well as the way those URIs should be opened. - * For example, if data was stored remotely (HDFS, S3, etc) you could use StreamInputSplit to load them, doing two things: - * (a) providing the URIs of the remote data to the constructor
- * (b) providing a {@code Function} that opens an InputStream for the given URI.
- *
- * Note: supports optional randomization (shuffling of order in which streams are read) via {@link #StreamInputSplit(List, Function, Random)} - * by providing a {@link Random} instance. If no Random instance is provided, the order will always be according to the - * order in the provided list of URIs. - * - * @author Alex Black - */ @Data public class StreamInputSplit implements InputSplit { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/StringSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/StringSplit.java index ebe23e71e..93d9b09e3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/StringSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/StringSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/TransformSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/TransformSplit.java index ca49ad591..81789c707 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/TransformSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/TransformSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; @@ -24,13 +28,6 @@ import java.net.URI; import java.net.URISyntaxException; import java.util.Iterator; -/** - * InputSplit implementation that maps the URIs of a given BaseInputSplit to new URIs. Useful when features and labels - * are in different files sharing a common naming scheme, and the name of the output file can be determined given the - * name of the input file. - * - * @author Ede Meijer - */ public class TransformSplit extends BaseInputSplit { private final BaseInputSplit sourceSplit; private final URITransform transform; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/NumberOfRecordsPartitioner.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/NumberOfRecordsPartitioner.java index 71a7ba80f..637198ac3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/NumberOfRecordsPartitioner.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/NumberOfRecordsPartitioner.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split.partition; @@ -22,15 +26,6 @@ import org.datavec.api.split.InputSplit; import java.io.OutputStream; import java.net.URI; -/** - * Partition relative to number of records written per file. - * This partitioner will ensure that no more than - * {@link #recordsPerFile} number of records is written per - * file when outputting to the various locations of the - * {@link InputSplit} locations. - * - * @author Adam Gibson - */ public class NumberOfRecordsPartitioner implements Partitioner { private URI[] locations; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/PartitionMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/PartitionMetaData.java index b9e5f0ebb..e206767e2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/PartitionMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/PartitionMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split.partition; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/Partitioner.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/Partitioner.java index 45324d511..d3bc4546b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/Partitioner.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/partition/Partitioner.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split.partition; @@ -21,11 +25,6 @@ import org.datavec.api.split.InputSplit; import java.io.OutputStream; -/** - * A partitioner for iterating thorugh files for {@link org.datavec.api.records.writer.RecordWriter}. - * This allows for a configurable log rotation like algorithm for partitioning files by number of recodrds, - * sizes among other things. - */ public interface Partitioner { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/split/streams/FileStreamCreatorFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/split/streams/FileStreamCreatorFunction.java index c306da585..cdca97817 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/split/streams/FileStreamCreatorFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/split/streams/FileStreamCreatorFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split.streams; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/timeseries/util/TimeSeriesWritableUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/timeseries/util/TimeSeriesWritableUtils.java index fcabe3650..916478f0e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/timeseries/util/TimeSeriesWritableUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/timeseries/util/TimeSeriesWritableUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.timeseries.util; @@ -30,12 +34,6 @@ import org.nd4j.common.primitives.Pair; import java.util.Iterator; import java.util.List; -/** - * Simple utils for converting {@link Writable} s - * lists to {@link INDArray} - * - * @author Adam Gibson - */ public class TimeSeriesWritableUtils { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnOp.java index ae2d17788..e1c404689 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnOp.java @@ -1,31 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; import org.datavec.api.transform.schema.Schema; -/** - * ColumnOp - * is a transform meant - * to run over 1 or more columns - * - * @author Adam Gibson - */ public interface ColumnOp extends Operation { /** Set the input schema. diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnType.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnType.java index 64b311ce8..a63cd4cce 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnType.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ColumnType.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; import org.datavec.api.transform.metadata.*; import org.datavec.api.writable.WritableType; -/** - * The type of column. - */ public enum ColumnType { String, Integer, Long, Double, Float, Categorical, Time, Bytes, //Arbitrary byte[] data Boolean, NDArray; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/DataAction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/DataAction.java index f726db37a..b03be4a25 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/DataAction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/DataAction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; @@ -28,12 +32,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude; import java.io.Serializable; -/** A helper class used in TransformProcess - * to store the types of action to - * execute next. - * - * @author Alex Black - * */ @Data @JsonInclude(JsonInclude.Include.NON_NULL) public class DataAction implements Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/Distance.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/Distance.java index 52f64bb82..ddfe8f3b5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/Distance.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/Distance.java @@ -1,24 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; -/** - * Distance enumeration - */ public enum Distance { COSINE, EUCLIDEAN, MANHATTAN } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathFunction.java index 7166e02fd..bd3e2ea27 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathFunction.java @@ -1,26 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; -/** - * Enumeration for mathematical functions - * - * @author Alex Black - */ public enum MathFunction { ABS, ACOS, ASIN, ATAN, CEIL, COS, COSH, EXP, FLOOR, LOG, LOG10, SIGNUM, SIN, SINH, SQRT, TAN, TANH } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathOp.java index 903f1115e..7a25815ad 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/MathOp.java @@ -1,36 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; -/** - * Mathematical operations for Double, Integer and Long columns
- * - * Add
- * Subtract
- * Multiply
- * Divide
- * Modulus
- * Reverse subtract: do scalar - x (instead of x-scalar in Subtract)
- * Reverse divide: do scalar/x (instead of x/scalar in Divide)
- * Scalar min: return Min(scalar,x)
- * Scalar max: return Max(scalar,x)
- * - * @author Alex Black - */ public enum MathOp { Add, Subtract, Multiply, Divide, Modulus, ReverseSubtract, ReverseDivide, ScalarMin, ScalarMax } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/Operation.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/Operation.java index ecb58543b..b5a4f2ff2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/Operation.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/Operation.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; public interface Operation { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ReduceOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ReduceOp.java index e02bfe5ea..0f70767f1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ReduceOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ReduceOp.java @@ -1,44 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; import org.datavec.api.transform.reduce.AggregableColumnReduction; import org.datavec.api.transform.reduce.Reducer; -/**ReduceOp defines the type of column reductions that can be used when reducing - * a set of values to a single value.
- * - * Min: take the minimum value
- * Max: take the maximum value
- * Range: output the value max-min
- * Sum: Reduce by summing all values
- * Mean: Reduce by taking the arithmetic mean of the values
- * Stdev: Reduce by calculating the sample standard deviation
- * Count: Reduce by doing a simple count
- * CountUnique: Reduce by counting the number of unique values
- * TakeFirst: Take the first possible value in the list
- * TakeLast: Take the last possible value in the list
- * - * Note: For custom reduction operations with {@link Reducer} - * , use the {@link AggregableColumnReduction} - * functionality. - * - * @author Alex Black - */ public enum ReduceOp { Prod, Min, Max, Range, //Max - Min Append, Prepend, // String operations : concatenate, concatenate with commuted arguments diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/StringReduceOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/StringReduceOp.java index 099a8dc69..627fd759a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/StringReduceOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/StringReduceOp.java @@ -1,32 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; -/** - * A string reduce op is used for combining strings such as - * merging, appending, or prepending. - * - * The following ops are supported: - * PREPEND: prepend the first string to the second - * APPEND: append the first string to the second - * MERGE: Merge the 2 strings - * FORMAT: Apply the format (the first column, to the string separated list via csv) - * @author Adam Gibson - */ public enum StringReduceOp { PREPEND, APPEND, MERGE, REPLACE } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/Transform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/Transform.java index 32f8f7cc5..5edafa32f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/Transform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/Transform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; @@ -23,8 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/**A Transform converts an example to another example, or a sequence to another sequence - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface Transform extends Serializable, ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/TransformProcess.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/TransformProcess.java index 9c6d66389..8a2400172 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/TransformProcess.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/TransformProcess.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; @@ -74,13 +78,6 @@ import java.io.Serializable; import java.util.*; import java.util.concurrent.TimeUnit; -/** - * A TransformProcess defines - * an ordered list of transformations - * to be executed on some data - * - * @author Alex Black - */ @Data @Slf4j public class TransformProcess implements Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/AnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/AnalysisCounter.java index 5bc7cf2ea..d45264ce6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/AnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/AnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis; @@ -20,9 +24,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; -/** - * Created by Alex on 23/06/2016. - */ public interface AnalysisCounter extends Serializable { T add(Writable writable); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataAnalysis.java index 1b9fe890d..7308aa942 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis; @@ -36,11 +40,6 @@ import java.io.IOException; import java.io.Serializable; import java.util.*; -/** - * The DataAnalysis class represents analysis (summary statistics) for a data set. - * - * @author Alex Black - */ @AllArgsConstructor @Data @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataVecAnalysisUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataVecAnalysisUtils.java index 15c8cce91..60551aa50 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataVecAnalysisUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/DataVecAnalysisUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/SequenceDataAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/SequenceDataAnalysis.java index 6156ead40..4be7977f4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/SequenceDataAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/SequenceDataAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis; @@ -29,9 +33,6 @@ import org.nd4j.shade.jackson.databind.exc.InvalidTypeIdException; import java.io.IOException; import java.util.List; -/** - * Created by Alex on 12/03/2016. - */ @EqualsAndHashCode(callSuper = true) @Data public class SequenceDataAnalysis extends DataAnalysis { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/BytesAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/BytesAnalysis.java index 9a40cd842..ac50c7ad1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/BytesAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/BytesAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -21,11 +25,6 @@ import lombok.Data; import lombok.NoArgsConstructor; import org.datavec.api.transform.ColumnType; -/** - * Analysis for bytes (byte[]) columns - * - * @author Alex Black - */ @AllArgsConstructor @Data @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/CategoricalAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/CategoricalAnalysis.java index a96524822..4460cd739 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/CategoricalAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/CategoricalAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -23,11 +27,6 @@ import org.datavec.api.transform.ColumnType; import java.util.*; -/** - * Analysis for categorical columns - * - * @author Alex Black - */ @AllArgsConstructor @Data @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/ColumnAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/ColumnAnalysis.java index c86584ede..296df8ef1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/ColumnAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/ColumnAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -22,9 +26,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; -/** - * Interface for column analysis - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface ColumnAnalysis extends Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/DoubleAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/DoubleAnalysis.java index 453e5f619..883c1d99e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/DoubleAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/DoubleAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode; import lombok.NoArgsConstructor; import org.datavec.api.transform.ColumnType; -/** - * Analysis for Double columns - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/IntegerAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/IntegerAnalysis.java index c42077f66..9c456f3fa 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/IntegerAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/IntegerAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode; import lombok.NoArgsConstructor; import org.datavec.api.transform.ColumnType; -/** - * Analysis for Integer columns - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/LongAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/LongAnalysis.java index d7aabb0b9..018d098c3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/LongAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/LongAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode; import lombok.NoArgsConstructor; import org.datavec.api.transform.ColumnType; -/** - * Analysis for Long columns - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NDArrayAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NDArrayAnalysis.java index ec92e34f6..c97d7c744 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NDArrayAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NDArrayAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -24,11 +28,6 @@ import org.datavec.api.transform.ColumnType; import java.util.*; -/** - * Column analysis class for NDArray columns - * - * @author Alex Black - */ @AllArgsConstructor @NoArgsConstructor //For Jackson/json @Builder(builderClassName = "Builder", builderMethodName = "Builder") diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NumericalColumnAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NumericalColumnAnalysis.java index ea27407f8..752deb550 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NumericalColumnAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/NumericalColumnAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -24,11 +28,6 @@ import org.datavec.api.transform.analysis.json.TDigestSerializer; import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize; import org.nd4j.shade.jackson.databind.annotation.JsonSerialize; -/** - * Abstract class for numerical column analysis - * - * @author Alex Black - */ @Data @EqualsAndHashCode(exclude = {"digest"}) public abstract class NumericalColumnAnalysis implements ColumnAnalysis { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/StringAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/StringAnalysis.java index 2eed3842e..6023ce806 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/StringAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/StringAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -21,11 +25,6 @@ import lombok.Data; import lombok.NoArgsConstructor; import org.datavec.api.transform.ColumnType; -/** - * Analysis for String columns - * - * @author Alex Black - */ @Data @AllArgsConstructor @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/TimeAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/TimeAnalysis.java index 27abbe7f3..67056a046 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/TimeAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/columns/TimeAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.columns; @@ -24,11 +28,6 @@ import org.joda.time.DateTimeZone; import org.joda.time.format.DateTimeFormat; import org.joda.time.format.DateTimeFormatter; -/** - * Analysis for Time columns - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data @NoArgsConstructor //For Jackson deserialization diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/BytesAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/BytesAnalysisCounter.java index b253363a4..07d263db7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/BytesAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/BytesAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -21,11 +25,6 @@ import lombok.Data; import org.datavec.api.transform.analysis.AnalysisCounter; import org.datavec.api.writable.Writable; -/** - * A counter function for doing analysis on BytesWritable columns, on Spark - * - * @author Alex Black - */ @AllArgsConstructor @Data public class BytesAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/CategoricalAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/CategoricalAnalysisCounter.java index 83f302a64..297fef35b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/CategoricalAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/CategoricalAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -26,11 +30,6 @@ import java.util.HashSet; import java.util.Map; import java.util.Set; -/** - * A counter function for doing analysis on Categorical columns, on Spark - * - * @author Alex Black - */ @AllArgsConstructor @Data public class CategoricalAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/DoubleAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/DoubleAnalysisCounter.java index 9da317027..7f16b8d7a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/DoubleAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/DoubleAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -22,11 +26,6 @@ import lombok.Data; import org.datavec.api.transform.analysis.AnalysisCounter; import org.datavec.api.writable.Writable; -/** - * A counter function for doing analysis on Double columns, on Spark - * - * @author Alex Black - */ @AllArgsConstructor @Data public class DoubleAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/IntegerAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/IntegerAnalysisCounter.java index 0d5d2cf4b..0028e5e1d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/IntegerAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/IntegerAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -22,11 +26,6 @@ import lombok.Data; import org.datavec.api.transform.analysis.AnalysisCounter; import org.datavec.api.writable.Writable; -/** - * A counter function for doing analysis on integer columns, on Spark - * - * @author Alex Black - */ @AllArgsConstructor @Data public class IntegerAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/LongAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/LongAnalysisCounter.java index 3833140db..4243deeef 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/LongAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/LongAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -22,11 +26,6 @@ import lombok.Data; import org.datavec.api.transform.analysis.AnalysisCounter; import org.datavec.api.writable.Writable; -/** - * A counter function for doing analysis on Long columns, on Spark - * - * @author Alex Black - */ @AllArgsConstructor @Data public class LongAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/NDArrayAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/NDArrayAnalysisCounter.java index ba4480d89..3349d75c5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/NDArrayAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/NDArrayAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -27,11 +31,6 @@ import java.util.HashSet; import java.util.Map; import java.util.Set; -/** - * A counter for performing analysis on NDArray columns - * - * @author Alex Black - */ public class NDArrayAnalysisCounter implements AnalysisCounter { private long countTotal; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StatCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StatCounter.java index 967426ac1..99fd861e5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StatCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StatCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StringAnalysisCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StringAnalysisCounter.java index 7d6eabc66..c31f35ad8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StringAnalysisCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/counter/StringAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.counter; @@ -21,11 +25,6 @@ import lombok.Data; import org.datavec.api.transform.analysis.AnalysisCounter; import org.datavec.api.writable.Writable; -/** - * A counter function for doing analysis on String columns, on Spark - * - * @author Alex Black - */ @AllArgsConstructor @Data public class StringAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/CategoricalHistogramCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/CategoricalHistogramCounter.java index 95f5f822d..d481042ef 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/CategoricalHistogramCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/CategoricalHistogramCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.histogram; @@ -22,11 +26,6 @@ import java.util.HashMap; import java.util.List; import java.util.Map; -/** - * A counter for building histograms of Categorical columns - * - * @author Alex Black - */ public class CategoricalHistogramCounter implements HistogramCounter { private HashMap counts = new HashMap<>(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/DoubleHistogramCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/DoubleHistogramCounter.java index a91fd4d91..cb2ea37e2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/DoubleHistogramCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/DoubleHistogramCounter.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.histogram; import org.datavec.api.writable.Writable; -/** - * A counter for building histograms on a Double column - * - * @author Alex Black - */ public class DoubleHistogramCounter implements HistogramCounter { private final double minValue; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/HistogramCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/HistogramCounter.java index 380d0c3aa..4f7503626 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/HistogramCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/HistogramCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.histogram; @@ -20,11 +24,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; -/** - * HistogramCounter: used to calculate histogram values for one column - * - * @author Alex Black - */ public interface HistogramCounter extends Serializable { HistogramCounter add(Writable w); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/NDArrayHistogramCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/NDArrayHistogramCounter.java index 5b724893d..2ab063cff 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/NDArrayHistogramCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/NDArrayHistogramCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.histogram; @@ -21,13 +25,6 @@ import org.datavec.api.writable.NDArrayWritable; import org.datavec.api.writable.Writable; import org.nd4j.linalg.api.ndarray.INDArray; -/** - * A counter for building histograms on a NDArray columns. - * This is a bit of a hack, using DoubleHistogramCounter internally. This should (one day) be optimized to use - * native ND4J operations - * - * @author Alex Black - */ public class NDArrayHistogramCounter implements HistogramCounter { private DoubleHistogramCounter underlying; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/StringHistogramCounter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/StringHistogramCounter.java index 14cb6d706..179e0f8bb 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/StringHistogramCounter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/histogram/StringHistogramCounter.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.histogram; import org.datavec.api.writable.Writable; -/** - * A counter for building histograms (of String length) on a String column - * - * @author Alex Black - */ public class StringHistogramCounter implements HistogramCounter { private final int minLength; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestDeserializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestDeserializer.java index 5410dc38d..c1c1a9f2f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestDeserializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestDeserializer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.json; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestSerializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestSerializer.java index 5e4ef33de..2208173d2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestSerializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/json/TDigestSerializer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.json; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisAddFunction.java index ee90a1b0f..9fac13e63 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality; @@ -34,11 +38,6 @@ import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * Add function used for undertaking quality analysis of a data set via Spark - * - * @author Alex Black - */ @AllArgsConstructor public class QualityAnalysisAddFunction implements BiFunction, List, List>, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisCombineFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisCombineFunction.java index ece0526ee..adfcb7e12 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisCombineFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisCombineFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality; @@ -22,11 +26,6 @@ import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * Combine function used for undertaking analysis of a data set via Spark - * - * @author Alex Black - */ public class QualityAnalysisCombineFunction implements BiFunction, List, List>, Serializable { @Override diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisState.java index 64da4153b..a8c88a093 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/QualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality; @@ -21,9 +25,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; -/** - * Created by huitseeker on 3/6/17. - */ public interface QualityAnalysisState extends Serializable { T add(Writable writable); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/bytes/BytesQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/bytes/BytesQualityAnalysisState.java index fc04caf35..409387600 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/bytes/BytesQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/bytes/BytesQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.bytes; @@ -22,12 +26,6 @@ import org.datavec.api.transform.quality.columns.BytesQuality; import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 3/6/17. - * NOTE: this class is not ready for production - * See the {@link BytesQuality} class. - - */ public class BytesQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAddFunction.java index 25fc463bd..4346d4c1e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.categorical; @@ -26,9 +30,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class CategoricalQualityAddFunction implements BiFunction, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAnalysisState.java index 1421fcfbe..5dc13406a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.categorical; @@ -23,9 +27,6 @@ import org.datavec.api.transform.quality.columns.CategoricalQuality; import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 3/6/17. - */ public class CategoricalQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityMergeFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityMergeFunction.java index 231b1e785..1abdc5429 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityMergeFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/categorical/CategoricalQualityMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.categorical; @@ -21,9 +25,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ public class CategoricalQualityMergeFunction implements BiFunction, Serializable { @Override diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAddFunction.java index 121c3b0cf..d9db5b8e1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.integer; @@ -26,9 +30,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class IntegerQualityAddFunction implements BiFunction, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAnalysisState.java index b09bf5307..5d6381a4f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.integer; @@ -23,9 +27,6 @@ import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.transform.quality.columns.IntegerQuality; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 3/6/17. - */ public class IntegerQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityMergeFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityMergeFunction.java index d77b70f30..02657366c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityMergeFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/integer/IntegerQualityMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.integer; @@ -21,9 +25,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ public class IntegerQualityMergeFunction implements BiFunction, Serializable { @Override public IntegerQuality apply(IntegerQuality v1, IntegerQuality v2) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAddFunction.java index 83ab500fa..8e8aa386f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.longq; @@ -26,9 +30,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class LongQualityAddFunction implements BiFunction, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAnalysisState.java index 40a6e84ec..7ae2fec2b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.longq; @@ -23,9 +27,6 @@ import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.transform.quality.columns.LongQuality; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 3/6/17. - */ public class LongQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityMergeFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityMergeFunction.java index fe4163fe9..ed89e6493 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityMergeFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/longq/LongQualityMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.longq; @@ -21,9 +25,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ public class LongQualityMergeFunction implements BiFunction, Serializable { @Override public LongQuality apply(LongQuality v1, LongQuality v2) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAddFunction.java index 561deacd4..de1b859e1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.real; @@ -26,9 +30,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class RealQualityAddFunction implements BiFunction, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAnalysisState.java index d97a6b225..25f9196d3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.real; @@ -23,9 +27,6 @@ import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.transform.quality.columns.DoubleQuality; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 3/6/17. - */ public class RealQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityMergeFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityMergeFunction.java index 8a3243863..8e48775cf 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityMergeFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/real/RealQualityMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.real; @@ -21,9 +25,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ public class RealQualityMergeFunction implements BiFunction, Serializable { @Override public DoubleQuality apply(DoubleQuality v1, DoubleQuality v2) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAddFunction.java index 0b3da66f8..bd81fe577 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.string; @@ -26,9 +30,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class StringQualityAddFunction implements BiFunction, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAnalysisState.java index 13dfaa7b6..ecb4bb9f3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.string; @@ -23,9 +27,6 @@ import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.transform.quality.columns.StringQuality; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 3/6/17. - */ public class StringQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityMergeFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityMergeFunction.java index 09deeabaa..eaccf6d5a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityMergeFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/string/StringQualityMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.string; @@ -21,9 +25,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ public class StringQualityMergeFunction implements BiFunction, Serializable { @Override public StringQuality apply(StringQuality v1, StringQuality v2) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAddFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAddFunction.java index 1d37b4b86..e96d4e9f5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAddFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.time; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAnalysisState.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAnalysisState.java index 3d69db22e..ac5f19d99 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAnalysisState.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityAnalysisState.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.time; @@ -23,9 +27,6 @@ import org.datavec.api.transform.quality.columns.ColumnQuality; import org.datavec.api.transform.quality.columns.TimeQuality; import org.datavec.api.writable.Writable; -/** - * @author Alex Black - */ public class TimeQualityAnalysisState implements QualityAnalysisState { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityMergeFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityMergeFunction.java index 8a2c3acfd..67a6ed240 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityMergeFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/quality/time/TimeQualityMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.quality.time; @@ -21,9 +25,6 @@ import org.nd4j.common.function.BiFunction; import java.io.Serializable; -/** - * Created by Alex on 5/03/2016. - */ public class TimeQualityMergeFunction implements BiFunction, Serializable { @Override public TimeQuality apply(TimeQuality v1, TimeQuality v2) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/sequence/SequenceLengthAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/sequence/SequenceLengthAnalysis.java index 349132eec..3b7140142 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/sequence/SequenceLengthAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/analysis/sequence/SequenceLengthAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.analysis.sequence; @@ -22,9 +26,6 @@ import lombok.Data; import java.io.Serializable; -/** - * Created by Alex on 12/03/2016. - */ @AllArgsConstructor @Data @Builder diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/BooleanCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/BooleanCondition.java index 8b89b4039..a9db25af3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/BooleanCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/BooleanCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition; @@ -24,15 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.List; -/** - * BooleanCondition: used for creating compound conditions, - * such as AND(ConditionA, ConditionB, ...)
- * As a BooleanCondition is a condition, - * these can be chained together, - * like NOT(OR(AND(...),AND(...))) - * - * @author Alex Black - */ @EqualsAndHashCode @Data public class BooleanCondition implements Condition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/Condition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/Condition.java index 6bd5b98ac..cba0c6930 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/Condition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/Condition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition; @@ -25,14 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/** - * The Condition interface defines a binary state that either holds/is satisfied for an example/sequence, - * or does not hold.
- * Example: number greater than x, String is one of {X,Y,Z}, etc.
- * Typical uses for conditions: filtering, conditional replacement, conditional reduction, etc - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface Condition extends Serializable, ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/ConditionOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/ConditionOp.java index 5b38b110c..9dbb6dc7b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/ConditionOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/ConditionOp.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition; import java.util.Set; -/** - * Created by Alex on 24/03/2016. - */ public enum ConditionOp { LessThan, LessOrEqual, GreaterThan, GreaterOrEqual, Equal, NotEqual, InSet, NotInSet; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/SequenceConditionMode.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/SequenceConditionMode.java index 5b3009a53..944bff55f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/SequenceConditionMode.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/SequenceConditionMode.java @@ -1,29 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition; -/** - * For certain single-column conditions: how should we apply these to sequences?
- * And: Condition applies to sequence only if it applies to ALL time steps
- * Or: Condition applies to sequence if it applies to ANY time steps
- * NoSequencMode: Condition cannot be applied to sequences at all (error condition) - * - * @author Alex Black - */ public enum SequenceConditionMode { And, Or, NoSequenceMode } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BaseColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BaseColumnCondition.java index c253d8f9d..1333e9c87 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BaseColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BaseColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import java.util.List; -/** - * Abstract class for column conditions - * - * @author Alex Black - */ @JsonIgnoreProperties({"columnIdx", "schema", "sequenceMode"}) @EqualsAndHashCode(exclude = {"columnIdx", "schema", "sequenceMode"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BooleanColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BooleanColumnCondition.java index b99212380..2e59fe5de 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BooleanColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/BooleanColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -21,9 +25,6 @@ import org.datavec.api.transform.condition.SequenceConditionMode; import org.datavec.api.writable.BooleanWritable; import org.datavec.api.writable.Writable; -/** - * Created by agibsonccc on 11/26/16. - */ @Data public class BooleanColumnCondition extends BaseColumnCondition { protected BooleanColumnCondition(String columnName, SequenceConditionMode sequenceConditionMode) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/CategoricalColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/CategoricalColumnCondition.java index 1acdf749c..b5039de78 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/CategoricalColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/CategoricalColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values in a Categorical column, using a {@link ConditionOp} - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class CategoricalColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/ColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/ColumnCondition.java index f81961088..98d416456 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/ColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/ColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -24,9 +28,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Created by agibsonccc on 11/26/16. - */ public interface ColumnCondition extends Condition, ColumnOp { SequenceConditionMode DEFAULT_SEQUENCE_CONDITION_MODE = SequenceConditionMode.Or; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/DoubleColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/DoubleColumnCondition.java index d34c8ff77..2f8ac7cba 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/DoubleColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/DoubleColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values in a Double column, using a {@link ConditionOp} - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class DoubleColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/FloatColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/FloatColumnCondition.java index b6fee143f..f9182bd30 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/FloatColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/FloatColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values in a Float column, using a {@link ConditionOp} - * - * @author Fariz Rahman - */ @EqualsAndHashCode(callSuper = true) @Data public class FloatColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InfiniteColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InfiniteColumnCondition.java index 7f47aa08d..dd7c77132 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InfiniteColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InfiniteColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -20,11 +24,6 @@ import lombok.Data; import org.datavec.api.transform.condition.SequenceConditionMode; import org.datavec.api.writable.Writable; -/** - * A column condition that simply checks whether a floating point value is infinite - * - * @author Alex Black - */ @Data public class InfiniteColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/IntegerColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/IntegerColumnCondition.java index eec538c58..1e1afd7d6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/IntegerColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/IntegerColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values in an Integer column, using a {@link ConditionOp} - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class IntegerColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InvalidValueColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InvalidValueColumnCondition.java index cababe01d..4c69b5f45 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InvalidValueColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/InvalidValueColumnCondition.java @@ -1,33 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; import lombok.Data; import org.datavec.api.writable.*; -/** - * A Condition that applies to a single column. - * Whenever the specified value is invalid according to the schema, the condition applies. - *

- * For example, if a Writable contains String values in an Integer column (and these cannot be parsed to an integer), then - * the condition would return true, as these values are invalid according to the schema. - * - * @author Alex Black - */ @Data public class InvalidValueColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/LongColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/LongColumnCondition.java index 8e5c123ba..2cc748c74 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/LongColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/LongColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values in a Long column, using a {@link ConditionOp} - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class LongColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NaNColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NaNColumnCondition.java index ab012b754..875d45a5a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NaNColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NaNColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -20,11 +24,6 @@ import lombok.Data; import org.datavec.api.transform.condition.SequenceConditionMode; import org.datavec.api.writable.Writable; -/** - * A column condition that simply checks whether a floating point value is NaN - * - * @author Alex Black - */ @Data public class NaNColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NullWritableColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NullWritableColumnCondition.java index 393beb5ae..3ec14f6f9 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NullWritableColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/NullWritableColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -22,12 +26,6 @@ import org.datavec.api.writable.NullWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Condition that applies to the values in any column. Specifically, condition is true - * if the Writable value is a NullWritable, and false for any other value - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class NullWritableColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/StringColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/StringColumnCondition.java index a3a3e75a6..8cda6223f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/StringColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/StringColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values in a String column, using a {@link ConditionOp} - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class StringColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TimeColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TimeColumnCondition.java index 1bbacde21..c654518a5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TimeColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TimeColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -25,12 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Set; -/** - * Condition that applies to the values - * in a Time column, using a {@link ConditionOp} - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class TimeColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TrivialColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TrivialColumnCondition.java index 2eab633c7..b06f381de 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TrivialColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/column/TrivialColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.column; @@ -24,9 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.List; -/** - * Created by huitseeker on 5/17/17. - */ @JsonIgnoreProperties({"schema"}) @Data public class TrivialColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/sequence/SequenceLengthCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/sequence/SequenceLengthCondition.java index 5ef70e634..9fe595ee7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/sequence/SequenceLengthCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/sequence/SequenceLengthCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.sequence; @@ -29,11 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.List; import java.util.Set; -/** - * A condition on sequence lengths - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema"}) @EqualsAndHashCode(exclude = {"inputSchema"}) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/string/StringRegexColumnCondition.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/string/StringRegexColumnCondition.java index 4ce938177..eff39ff68 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/string/StringRegexColumnCondition.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/condition/string/StringRegexColumnCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition.string; @@ -23,14 +27,6 @@ import org.datavec.api.transform.condition.column.BaseColumnCondition; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Condition that applies to the values in a String column, using a provided regex. - * Condition return true if the String matches the regex, or false otherwise
- *

- * Note: Uses Writable.toString(), hence can potentially be applied to non-String columns - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class StringRegexColumnCondition extends BaseColumnCondition { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/BaseColumnFilter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/BaseColumnFilter.java index 8a6fdf72c..73718fa7f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/BaseColumnFilter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/BaseColumnFilter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.filter; @@ -21,10 +25,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/**Abstract class for filtering examples - * based on the values in a - * single column - */ public abstract class BaseColumnFilter implements Filter { protected Schema schema; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/ConditionFilter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/ConditionFilter.java index 30395c560..92e6ecb4e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/ConditionFilter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/ConditionFilter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.filter; @@ -25,13 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.List; -/** - * A filter based on a {@link Condition}.
- * If condition is satisfied (returns true): remove the example or sequence
- * If condition is not satisfied (returns false): keep the example or sequence - * - * @author Alex Black - */ @EqualsAndHashCode @Data public class ConditionFilter implements Filter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/Filter.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/Filter.java index 16870e9f9..8b4cd1e75 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/Filter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/Filter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.filter; @@ -25,12 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/** - * Filter: a method of removing examples - * (or sequences) according to some condition - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface Filter extends Serializable, ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/FilterInvalidValues.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/FilterInvalidValues.java index ddf6e3957..fb06f4f5f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/FilterInvalidValues.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/FilterInvalidValues.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.filter; @@ -26,12 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import java.util.List; -/** - * FilterInvalidValues: a filter operation that removes any examples (or sequences) - * if the examples/sequences contains - * invalid values in any of a specified set of columns. - * Invalid values are determined with respect to the schema - */ @EqualsAndHashCode(exclude = {"schema", "columnIdxs"}) @JsonIgnoreProperties({"schema", "columnIdxs"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/InvalidNumColumns.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/InvalidNumColumns.java index 78bc69c46..70782abe8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/InvalidNumColumns.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/filter/InvalidNumColumns.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.filter; @@ -23,10 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Remove invalid records of a certain size. - * @author Adam Gibson - */ @Data @AllArgsConstructor public class InvalidNumColumns implements Filter { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/join/Join.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/join/Join.java index 427585f0d..d723c1448 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/join/Join.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/join/Join.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.join; @@ -26,11 +30,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.*; -/** - * Join class: used to specify a join (like an SQL join) - * - * @author Alex Black - */ @Data public class Join implements Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BaseColumnMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BaseColumnMetaData.java index 4b04a6e31..ecdda2f07 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BaseColumnMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BaseColumnMetaData.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; import lombok.EqualsAndHashCode; -/** - * Created by Alex on 18/07/2016. - */ @EqualsAndHashCode public abstract class BaseColumnMetaData implements ColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BinaryMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BinaryMetaData.java index 19e970759..0236b0b48 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BinaryMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BinaryMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -22,11 +26,6 @@ import org.datavec.api.transform.ColumnType; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Metadata for an binary column - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class BinaryMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BooleanMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BooleanMetaData.java index d468d92d6..85da6773a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BooleanMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/BooleanMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -22,11 +26,6 @@ import org.datavec.api.transform.ColumnType; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Metadata for an integer column - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class BooleanMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/CategoricalMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/CategoricalMetaData.java index 14ce7dbf6..1a8773241 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/CategoricalMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/CategoricalMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -28,9 +32,6 @@ import java.util.HashSet; import java.util.List; import java.util.Set; -/** - * Metadata for categorical columns. - */ @JsonIgnoreProperties({"stateNamesSet"}) @EqualsAndHashCode @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/ColumnMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/ColumnMetaData.java index 6889fbf31..b65831496 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/ColumnMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/ColumnMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -23,13 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; -/** - * ColumnMetaData: metadata for each column. Used to define: - * (a) the type of each column, and - * (b) any restrictions on the allowable values in each column - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface ColumnMetaData extends Serializable, Cloneable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/DoubleMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/DoubleMetaData.java index e5ad33a8e..41884c388 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/DoubleMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/DoubleMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -22,11 +26,6 @@ import org.datavec.api.transform.ColumnType; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * MetaData for a double column. - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class DoubleMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/FloatMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/FloatMetaData.java index 6177e4ea9..0fa76d8df 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/FloatMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/FloatMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -22,11 +26,6 @@ import org.datavec.api.transform.ColumnType; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * MetaData for a Float column. - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class FloatMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/IntegerMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/IntegerMetaData.java index e9df15fb0..327af31d3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/IntegerMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/IntegerMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -22,11 +26,6 @@ import org.datavec.api.transform.ColumnType; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Metadata for an integer column - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class IntegerMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/LongMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/LongMetaData.java index 65c7e1e84..974926186 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/LongMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/LongMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -24,11 +28,6 @@ import org.datavec.api.writable.LongWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Metadata for a long column - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class LongMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/NDArrayMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/NDArrayMetaData.java index 5a7154b25..13fcbbee8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/NDArrayMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/NDArrayMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -27,11 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Arrays; -/** - * Meta data class for NDArray columns - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) @JsonIgnoreProperties("allowVarLength") diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/StringMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/StringMetaData.java index 574136e55..4c81cba01 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/StringMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/StringMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -22,11 +26,6 @@ import org.datavec.api.transform.ColumnType; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Metadata for an String column - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class StringMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/TimeMetaData.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/TimeMetaData.java index 9e9934162..e51e3b7d2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/TimeMetaData.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/metadata/TimeMetaData.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.metadata; @@ -26,12 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.TimeZone; -/** - * TimeMetaData: Meta data for a date/time column. - * NOTE: Time values are stored in epoch (millisecond) format. - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true) public class TimeMetaData extends BaseColumnMetaData { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayColumnsMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayColumnsMathOpTransform.java index 1abd115e4..19e047812 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayColumnsMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayColumnsMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ndarray; @@ -31,11 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Arrays; -/** - * Perform an element wise mathematical operation on 2 or more NDArray columns - * - * @author Alex Black - */ @Data public class NDArrayColumnsMathOpTransform extends BaseColumnsMathOpTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayDistanceTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayDistanceTransform.java index e9064ee2d..447c80f62 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayDistanceTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayDistanceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ndarray; @@ -33,11 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Calculate the distance (cosine similarity, EUCLIDEAN, MANHATTAN) between two INDArrays - * - * @author Alex Black - */ @Data public class NDArrayDistanceTransform implements Transform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayMathFunctionTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayMathFunctionTransform.java index 4eb78a723..1b13438d3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayMathFunctionTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayMathFunctionTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ndarray; @@ -27,12 +31,6 @@ import org.nd4j.linalg.factory.Nd4j; import org.nd4j.linalg.ops.transforms.Transforms; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
- * Operations are performed element-wise on each value in the INDArray; operations are specified by {@link MathFunction} - * - * @author Alex Black - */ @Data public class NDArrayMathFunctionTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayScalarOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayScalarOpTransform.java index c292910f7..7cd8ed567 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayScalarOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ndarray/NDArrayScalarOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ndarray; @@ -28,12 +32,6 @@ import org.nd4j.linalg.factory.Nd4j; import org.nd4j.linalg.ops.transforms.Transforms; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Perform an NDArray/scalar element wise operation, such as X.addi(scalar). - * Element wise operations are performed in place on each value of the underlying INDArray - * - * @author Alex Black - */ @Data public class NDArrayScalarOpTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableCheckingOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableCheckingOp.java index 0c0453607..c6390269d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableCheckingOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableCheckingOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -22,12 +26,6 @@ import lombok.Getter; import org.datavec.api.transform.metadata.ColumnMetaData; import org.datavec.api.writable.Writable; -/** - * A variant of {@link IAggregableReduceOp} exercised on a {@link Writable} that takes schema metadata - * in its constructor, and checks the input {@link Writable} against the schema before accepting it. - * - * Created by huitseeker on 5/8/17. - */ @AllArgsConstructor @Data public class AggregableCheckingOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableMultiOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableMultiOp.java index f0b8201df..9e6fef114 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableMultiOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregableMultiOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -25,14 +29,6 @@ import org.datavec.api.writable.Writable; import java.util.ArrayList; import java.util.List; -/** - * This class transforms a list of {@link IAggregableReduceOp} on one single field, each returning a {@link Writable} - * and transforms it into an operation on that single column, that returns a {@link Writable} list. - * - * It is used to execute many reduction operations in parallel on the same column, datavec#238 - * - * Created by huitseeker on 5/8/17. - */ @AllArgsConstructor @Data public class AggregableMultiOp implements IAggregableReduceOp> { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregatorImpls.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregatorImpls.java index 48d856e46..18fbf9af6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregatorImpls.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/AggregatorImpls.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -25,9 +29,6 @@ import org.datavec.api.writable.LongWritable; import org.datavec.api.writable.UnsafeWritableInjector; import org.datavec.api.writable.Writable; -/** - * Created by huitseeker on 4/28/17. - */ public class AggregatorImpls { public static class AggregableFirst implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/ByteWritableOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/ByteWritableOp.java index 6cec35dd9..a0b9c30ec 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/ByteWritableOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/ByteWritableOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,13 +25,6 @@ import lombok.Data; import lombok.Getter; import org.datavec.api.writable.Writable; -/** - * This class converts an {@link IAggregableReduceOp} operating on a Byte to one operating - * on {@link Writable} instances. It's expected this will only work if that {@link Writable} - * supports a conversion to Byte. - * - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor @Data public class ByteWritableOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchOp.java index dbca779ae..8f5992a26 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -23,14 +27,6 @@ import lombok.NonNull; import java.util.ArrayList; import java.util.List; -/** - * This class takes many {@link IAggregableReduceOp}, each acting on one field, and each returning several - * {@link Writable} elements, in the form of a list of {@link Writable}. It produces a reduce operation that - * distributes a list of {@link Writable} elements to these operations, one per operation. - * - * - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor public class DispatchOp implements IAggregableReduceOp, List> { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchWithConditionOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchWithConditionOp.java index 8ef67bacb..3adf79cbe 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchWithConditionOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DispatchWithConditionOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -26,15 +30,6 @@ import java.util.List; import static org.nd4j.shade.guava.base.Preconditions.checkArgument; import static org.nd4j.shade.guava.base.Preconditions.checkNotNull; -/** - * A variant of {@link DispatchOp} that for each operation, tests the input list of {@Writable} elements for a {@link Condition}, - * before dispatching the appropriate column of this element to its operation. - * - * Operations are, as with {@link DispatchOp} bound one-to-one to a column. - * However, the operation's {@link Condition} are per-record (a {@link Writable} list). - * - * Created by huitseeker on 5/14/17. - */ public class DispatchWithConditionOp extends DispatchOp implements IAggregableReduceOp, List> { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DoubleWritableOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DoubleWritableOp.java index 5753f0da0..59ff912c7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DoubleWritableOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/DoubleWritableOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,13 +25,6 @@ import lombok.Data; import lombok.Getter; import org.datavec.api.writable.Writable; -/** - * This class converts an {@link IAggregableReduceOp} operating on a Double to one operating - * on {@link Writable} instances. It's expected this will only work well if that {@link Writable} - * supports a conversion to Double. - * - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor @Data public class DoubleWritableOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/FloatWritableOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/FloatWritableOp.java index 05ba1f2da..a194f62b0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/FloatWritableOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/FloatWritableOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,13 +25,6 @@ import lombok.Data; import lombok.Getter; import org.datavec.api.writable.Writable; -/** - * This class converts an {@link IAggregableReduceOp} operating on a Float to one operating - * on {@link Writable} instances. It's expected this will only work if that {@link Writable} - * supports a conversion to Float. - * - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor @Data public class FloatWritableOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IAggregableReduceOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IAggregableReduceOp.java index b9a7f2832..46c1fa032 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IAggregableReduceOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IAggregableReduceOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,9 +25,6 @@ import org.nd4j.common.function.Supplier; import java.io.Serializable; -/** - * Created by huitseeker on 4/28/17. - */ public interface IAggregableReduceOp extends Consumer, Supplier, Serializable { > void combine(W accu); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IntWritableOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IntWritableOp.java index 986bf4c06..636601129 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IntWritableOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/IntWritableOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,13 +25,6 @@ import lombok.Data; import lombok.Getter; import org.datavec.api.writable.Writable; -/** - * This class converts an {@link IAggregableReduceOp} operating on a Integer to one operating - * on {@link Writable} instances. It's expected this will only work if that {@link Writable} - * supports a conversion to Integer. - * - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor @Data public class IntWritableOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/LongWritableOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/LongWritableOp.java index ea5aa5f65..d4467cf17 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/LongWritableOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/LongWritableOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,13 +25,6 @@ import lombok.Data; import lombok.Getter; import org.datavec.api.writable.Writable; -/** - * This class converts an {@link IAggregableReduceOp} operating on a Long to one operating - * on {@link Writable} instances. It's expected this will only work if that {@link Writable} - * supports a conversion to Long. - * - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor @Data public class LongWritableOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringAggregatorImpls.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringAggregatorImpls.java index 478515b51..6bf357603 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringAggregatorImpls.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringAggregatorImpls.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -20,11 +24,6 @@ import lombok.Getter; import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; -/** - * Groups useful {@link IAggregableReduceOp} utilities on Strings - * - * Created by huitseeker on 5/18/17. - */ public class StringAggregatorImpls { private static abstract class AggregableStringReduce implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringWritableOp.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringWritableOp.java index eb8311478..8d1524718 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringWritableOp.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ops/StringWritableOp.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -21,12 +25,6 @@ import lombok.Data; import lombok.Getter; import org.datavec.api.writable.Writable; -/** - * This class converts an {@link IAggregableReduceOp} operating on a String to one operating - * on {@link Writable} instances. It's expected this will only work if that {@link Writable} - * supports a conversion to TextWritable. - * Created by huitseeker on 5/14/17. - */ @AllArgsConstructor @Data public class StringWritableOp implements IAggregableReduceOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/DataQualityAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/DataQualityAnalysis.java index 8cdd92a7e..4ca01535e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/DataQualityAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/DataQualityAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/BytesQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/BytesQuality.java index 81b153d7b..98e432f79 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/BytesQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/BytesQuality.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; import lombok.Data; -/** - * Quality of a Bytes column - * - * @author Alex Black - */ @Data public class BytesQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/CategoricalQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/CategoricalQuality.java index 0a4336af9..eb5f6ff95 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/CategoricalQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/CategoricalQuality.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; import lombok.Data; import lombok.EqualsAndHashCode; -/** - * Quality of a Categorical column - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class CategoricalQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/ColumnQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/ColumnQuality.java index 2bbb80865..4ed46b8b2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/ColumnQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/ColumnQuality.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; @@ -21,11 +25,6 @@ import lombok.Data; import java.io.Serializable; -/** - * Base class for the quality of a column - * - * @author Alex Black - */ @AllArgsConstructor @Data public abstract class ColumnQuality implements Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/DoubleQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/DoubleQuality.java index badc0a0bc..be8ae38bf 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/DoubleQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/DoubleQuality.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; import lombok.Data; import lombok.EqualsAndHashCode; -/** - * Created by Alex on 5/03/2016. - */ @EqualsAndHashCode(callSuper = true) @Data public class DoubleQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/IntegerQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/IntegerQuality.java index 0a3242266..7b1d6f189 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/IntegerQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/IntegerQuality.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; import lombok.Data; import lombok.EqualsAndHashCode; -/** - * Quality of an Integer column - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class IntegerQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/LongQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/LongQuality.java index 5e979dcbf..253278b3a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/LongQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/LongQuality.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; import lombok.Data; import lombok.EqualsAndHashCode; -/** - * Quality of a Long column - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class LongQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/StringQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/StringQuality.java index 267620e12..d485572c8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/StringQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/StringQuality.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; @@ -20,9 +24,6 @@ import com.clearspring.analytics.stream.cardinality.HyperLogLogPlus; import lombok.Data; import lombok.EqualsAndHashCode; -/** - * Created by Alex on 5/03/2016. - */ @EqualsAndHashCode(callSuper = true) @Data public class StringQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/TimeQuality.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/TimeQuality.java index d669d9564..58aa45145 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/TimeQuality.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/quality/columns/TimeQuality.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.quality.columns; import lombok.Data; -/** - * TimeQuality: quality of a time column - * - * @author Alex Black - */ @Data public class TimeQuality extends ColumnQuality { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/rank/CalculateSortedRank.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/rank/CalculateSortedRank.java index 1e5177c68..d9469094f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/rank/CalculateSortedRank.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/rank/CalculateSortedRank.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.rank; @@ -33,18 +37,6 @@ import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * CalculateSortedRank: calculate the rank of each example, after sorting example. - * For example, we might have some numerical "score" column, and we want to know for the rank (sort order) for each - * example, according to that column.
- * The rank of each example (after sorting) will be added in a new Long column. Indexing is done from 0; examples will have - * values 0 to dataSetSize - 1.
- * - * Currently, CalculateSortedRank can only be applied on standard (i.e., non-sequence) data. - * Furthermore, the current implementation can only sort on one column - * - * @author Alex Black - */ @Data @EqualsAndHashCode(exclude = {"inputSchema"}) @JsonIgnoreProperties({"inputSchema"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableColumnReduction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableColumnReduction.java index 9a63c3261..6ed205b8b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableColumnReduction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableColumnReduction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; @@ -24,12 +28,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * A column reduction defines how a single column should be reduced. - * Used in conjunction with {@link Reducer} to provide custom reduction functionality. - * - * @author Alex Black - */ public interface AggregableColumnReduction extends Serializable, ColumnOp { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableReductionUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableReductionUtils.java index 1f72e1aa3..77db4cbcd 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableReductionUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/AggregableReductionUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; @@ -25,11 +29,6 @@ import org.datavec.api.writable.Writable; import java.util.ArrayList; import java.util.List; -/** - * Various utilities for performing reductions - * - * @author Alex Black - */ public class AggregableReductionUtils { private AggregableReductionUtils() {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/ColumnReduction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/ColumnReduction.java index 07d43e53a..96a066c39 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/ColumnReduction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/ColumnReduction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; @@ -23,12 +27,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * A column reduction defines how a single column should be reduced. - * Used in conjunction with {@link Reducer} to provide custom reduction functionality. - * - * @author Alex Black - */ public interface ColumnReduction extends Serializable, ColumnOp { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/IAssociativeReducer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/IAssociativeReducer.java index 1a7aba2c6..677176788 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/IAssociativeReducer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/IAssociativeReducer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; @@ -26,11 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/** - * A reducer aggregates or combines - * a set of examples into - * a single List - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.WRAPPER_OBJECT) @JsonSubTypes(value = {@JsonSubTypes.Type(value = Reducer.class, name = "Reducer")}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/Reducer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/Reducer.java index 43334733a..3ef9e5b7c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/Reducer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/Reducer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; @@ -34,20 +38,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.io.Serializable; import java.util.*; -/** - * A Reducer is used to take a set of examples and reduce them. - * The idea: suppose you have a large number of columns, and you want to combine/reduce the values in each column.
- * Reducer allows you to specify different reductions for differently for different columns: min, max, sum, mean etc. - * See {@link Builder} and {@link ReduceOp} for the full list.
- * Note this supports executing multipe reducitons per column: simply call the Builder with Xcolumn() repeatedly - * on the same column, or use {@link Reducer.Builder#multipleOpColmumns(List, String...)}} - *

- * Uses are: - * (1) Reducing examples by a key - * (2) Reduction operations in time series (windowing ops, etc) - * - * @author Alex Black - */ @Data @JsonIgnoreProperties({"schema", "keyColumnsSet"}) @EqualsAndHashCode(exclude = {"schema", "keyColumnsSet"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/impl/GeographicMidpointReduction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/impl/GeographicMidpointReduction.java index 4e6862dee..110da950c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/impl/GeographicMidpointReduction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/reduce/impl/GeographicMidpointReduction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce.impl; @@ -30,14 +34,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Collections; import java.util.List; -/** - * Given a set of latitude/longitude coordinates, encoded in {@link Text} writables with format "lat,long" (the - * delimiter is configurable), determine the geographic midpoint. - * See "geographic midpoint" at: http://www.geomidpoint.com/methods.html - * For implementation algorithm, see: http://www.geomidpoint.com/calculation.html - * - * @author Alex Black - */ @Data public class GeographicMidpointReduction implements AggregableColumnReduction { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/InferredSchema.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/InferredSchema.java index 024e8cd4d..85659f9d4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/InferredSchema.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/InferredSchema.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.schema; @@ -25,17 +29,6 @@ import java.io.IOException; import java.util.ArrayList; import java.util.List; -/** - * If passed a CSV file that contains a header and a single row of sample data, it will return - * a Schema. - * - * Only Double, Integer, Long, and String types are supported. If no number type can be inferred, - * the field type will become the default type. Note that if your column is actually categorical but - * is represented as a number, you will need to do additional transformation. Also, if your sample - * field is blank/null, it will also become the default type. - * - * @author Justin Long (crockpotveggies) - */ @Slf4j public class InferredSchema { protected Schema.Builder schemaBuilder; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/Schema.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/Schema.java index 1c16ebcce..4cb692744 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/Schema.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/Schema.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.schema; @@ -36,17 +40,6 @@ import java.io.IOException; import java.io.Serializable; import java.util.*; -/** - * A Schema defines the layout of tabular data. Specifically, it contains names f - * or each column, as well as details of types - * (Integer, String, Long, Double, etc).
- * Type information for each column may optionally include - * restrictions on the allowable values for each column.
- *

- * See also: {@link SequenceSchema} - * - * @author Alex Black - */ @JsonIgnoreProperties({"columnNames", "columnNamesIndex"}) @EqualsAndHashCode @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/SequenceSchema.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/SequenceSchema.java index 509ab75b4..2c0aec43e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/SequenceSchema.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/SequenceSchema.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.schema; @@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.List; -/** - * A SequenceSchema is a {@link Schema} for sequential data. - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class SequenceSchema extends Schema { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/conversion/TypeConversion.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/conversion/TypeConversion.java index 1f7e938b6..1e6b4c87c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/conversion/TypeConversion.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/schema/conversion/TypeConversion.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.schema.conversion; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertFromSequence.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertFromSequence.java index 34effa058..39ac08534 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertFromSequence.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertFromSequence.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -27,12 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import java.util.ArrayList; import java.util.List; -/** - * Split up the values in sequences to a set of individual values.
- * i.e., sequences are split up, such that each time step in the sequence is treated as a separate example - * - * @author Alex Black - */ @Data @EqualsAndHashCode(exclude = {"inputSchema"}) @JsonIgnoreProperties({"inputSchema"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertToSequence.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertToSequence.java index 01b5d0070..15147d3ea 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertToSequence.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ConvertToSequence.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -27,14 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Arrays; import java.util.Collection; -/** - * Convert a set of values to a sequence. Two approaches are supported:
- * (a) if "singleStepsequenceMode" is true - convert each record independently, to a "sequence" of length 1
- * (b) otherwise - performa "group and sort" operations. For example, group by one or more columns, and then - * sort each value within the group by some mechanism. For example, group by customer, sort by time. - * - * @author Alex Black - */ @Data @EqualsAndHashCode(exclude = {"inputSchema"}) @JsonIgnoreProperties({"inputSchema"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ReduceSequenceTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ReduceSequenceTransform.java index 6cf0ee7fe..02227ac7a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ReduceSequenceTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/ReduceSequenceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -31,13 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Collections; import java.util.List; -/** - * Reduce The values in each column in the sequence to a single value using a reducer. - * Note: after applying ReduceSequenceTransform, you have sequences of length 1. Consequently, this transform - * is often used in conjunction with {@link ConvertFromSequence} - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema"}) @EqualsAndHashCode(exclude = {"inputSchema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceComparator.java index a5677d1f5..feba082d1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -25,9 +29,6 @@ import java.io.Serializable; import java.util.Comparator; import java.util.List; -/** - * Compare the time steps of a sequence - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface SequenceComparator extends Comparator>, Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceSplit.java index 3471dbaa3..f1fc2fb71 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/SequenceSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -24,12 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/** - * SequenceSplit interface: used to split a single sequence into multiple smaller subsequences, according - * to some criteria - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface SequenceSplit extends Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/BaseColumnComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/BaseColumnComparator.java index cbbf03a79..a39134034 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/BaseColumnComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/BaseColumnComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.comparator; @@ -26,9 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import java.util.List; -/** - * Compare/sort a sequence by the values of a specific column - */ @EqualsAndHashCode(exclude = {"schema", "columnIdx"}) @JsonIgnoreProperties({"schema", "columnIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/NumericalColumnComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/NumericalColumnComparator.java index 7e7f53802..9d33fbc3e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/NumericalColumnComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/NumericalColumnComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.comparator; @@ -24,13 +28,6 @@ import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Sequence comparator: compare elements in a sequence using the values in a single column - * - * Can be applied on any numerical column (Integer, Long, Double or Time columns) - * - * @author Alex Black - */ @JsonIgnoreProperties({"columnType", "schema", "columnIdx"}) @EqualsAndHashCode(callSuper = true, exclude = {"columnType"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/StringComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/StringComparator.java index e1c18bfd3..cf35c5062 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/StringComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/comparator/StringComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.comparator; @@ -20,12 +24,6 @@ import lombok.Data; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * A comparator for comparing - * String values in a single column - * - * @author Alex - */ @Data public class StringComparator extends BaseColumnComparator { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/expansion/BaseSequenceExpansionTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/expansion/BaseSequenceExpansionTransform.java index 783918a7e..1a8ff176c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/expansion/BaseSequenceExpansionTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/expansion/BaseSequenceExpansionTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.expansion; @@ -26,13 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude; import java.util.*; -/** - * A base class for sequence expansion operations. - * The idea: for one or more columns, expand the values to multiple sequence steps; for all other columns, just - * duplicate the step values when expanding. - * - * @author Alex Black - */ @EqualsAndHashCode(exclude = {"inputSchema"}) @JsonIgnoreProperties({"inputSchema"}) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/merge/SequenceMerge.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/merge/SequenceMerge.java index 00f52790d..1ac4145ee 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/merge/SequenceMerge.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/merge/SequenceMerge.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.merge; @@ -25,13 +29,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Merge multiple sequences into one single sequence. - * Requires a SequenceComparator to determine - * the final ordering - * - * @author Alex Black - */ @Data public class SequenceMerge implements Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SequenceSplitTimeSeparation.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SequenceSplitTimeSeparation.java index 82290ba3a..890641e97 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SequenceSplitTimeSeparation.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SequenceSplitTimeSeparation.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.split; @@ -29,16 +33,6 @@ import java.util.ArrayList; import java.util.List; import java.util.concurrent.TimeUnit; -/** - * Split a sequence into multiple sequences, based on the separation of time steps in a time column. - * For example, suppose we have a sequence with a gap of 1 day between two blocks of entries: we can use - * SequenceSplitTimeSeparation to split this data into two separate sequences. - * - * More generally, split the sequence any time the separation between consecutive time steps exceeds a specified - * value. - * - * @author Alex Black - */ @JsonIgnoreProperties({"separationMilliseconds", "timeColumnIdx", "schema"}) @EqualsAndHashCode(exclude = {"separationMilliseconds", "timeColumnIdx", "schema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SplitMaxLengthSequence.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SplitMaxLengthSequence.java index 410e55d9c..38e2b1e20 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SplitMaxLengthSequence.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/split/SplitMaxLengthSequence.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.split; @@ -28,12 +32,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Split a sequence into a number of smaller sequences of length 'maxSequenceLength'. - * If the sequence length is smaller than maxSequenceLength, the sequence is unchanged - * - * @author Alex Black - */ @EqualsAndHashCode(exclude = {"inputSchema"}) @JsonIgnoreProperties({"inputSchema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimToLengthTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimToLengthTransform.java index 53ddcc7ce..fb128587f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimToLengthTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimToLengthTransform.java @@ -1,3 +1,23 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + package org.datavec.api.transform.sequence.trim; import lombok.Data; @@ -12,15 +32,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Trim or pad the sequence to the specified length (number of sequence steps). It supports 2 modes:
- * TRIM: Sequences longer than the specified maximum will be trimmed to exactly the maximum. Shorter sequences will not be modified.
- * TRIM_OR_PAD: Sequences longer than the specified maximum will be trimmed to exactly the maximum. Shorter sequences will be - * padded with as many copies of the "pad" array to make the sequence length equal the specified maximum.
- * Note that the 'pad' list (i.e., values to pad when using TRIM_OR_PAD mode) must be equal in length to the number of columns (values per time step) - * - * @author Alex Black - */ @JsonIgnoreProperties({"schema"}) @EqualsAndHashCode(exclude = {"schema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimTransform.java index 3344caa38..2b2f15752 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/trim/SequenceTrimTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.trim; @@ -28,12 +32,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * SequenceTrimTranform removes the first or last N values in a sequence. Note that the resulting sequence - * may be of length 0, if the input sequence is less than or equal to N. - * - * @author Alex Black - */ @JsonIgnoreProperties({"schema"}) @EqualsAndHashCode(exclude = {"schema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/OverlappingTimeWindowFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/OverlappingTimeWindowFunction.java index c2ebba01a..48096f750 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/OverlappingTimeWindowFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/OverlappingTimeWindowFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.window; @@ -33,23 +37,6 @@ import java.util.ArrayList; import java.util.List; import java.util.concurrent.TimeUnit; -/** - * A windowing function based on time, with potentially overlapping windows. Time for each entry in the sequence is provided by a Time column
- * The overlapping nature of the windowing function allows for things such as a window size of 1 day, produced every hour.
- * Two parameters (and one optional parameter) are necessary to specify how windowing is conducted: - * - The size of the window (for example, 1 day)
- * - The separation between window periods (for example, 1 hour)
- * - The offet for the start/end time of the windows
- *

- * Example with a window size of 12 hours, with the window separation of 1 hour, we end up with windows as follows:
- * (0:00 to 12:00), (1:00 to 13:00), (2:00 to 14:00) and so on.
- * If the offset was set to 15 minutes, windows would instead be at (0:15 to 12:15), (1:15 to 13:15), (2:15 to 14:15) and so on.
- *

- * Note that the windows generated by this window function need not contain any data - i.e., it can generate empty an empty - * window if no data occurs in the specified time period. - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "offsetAmountMilliseconds", "windowSizeMilliseconds", "windowSeparationMilliseconds", "timeZone"}) @EqualsAndHashCode(exclude = {"inputSchema", "offsetAmountMilliseconds", "windowSizeMilliseconds", diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/ReduceSequenceByWindowTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/ReduceSequenceByWindowTransform.java index 8cf7c9b13..e24585aa9 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/ReduceSequenceByWindowTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/ReduceSequenceByWindowTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.window; @@ -31,13 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Idea: do two things. - * First, apply a window function to the sequence data. - * Second: Reduce that window of data into a single value by using a Reduce function - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema"}) @EqualsAndHashCode(exclude = {"inputSchema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/TimeWindowFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/TimeWindowFunction.java index c4474d172..594b0dbc1 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/TimeWindowFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/TimeWindowFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.window; @@ -30,18 +34,6 @@ import java.util.ArrayList; import java.util.List; import java.util.concurrent.TimeUnit; -/** - * A windowing function based on time, with non-overlapping windows. Time for each entry in the sequence is provided by a Time column
- * Functionality here: Calculate windows of data based on a fixed window size (1 minute, 1 hour, etc), with an optional offset.
- * Specifically, window start times T are calculated such that (T + timeZoneOffset + offset) % windowSize == 0 - * timeZoneOffset comes from the Time column metadata; offset allows for the window to be shifted one way or another, - * for example to allow for windowing like (10:15 to 11:15) instead of (10:00 to 11:00), using an offset of 15 minutes
- *

- * Note that the windows generated by this window function need not contain any data - i.e., it can generate empty an empty - * window if no data occurs in the specified time period. - * - * @author Alex Black - */ @Data public class TimeWindowFunction implements WindowFunction { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/WindowFunction.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/WindowFunction.java index 1456af8d7..d28860241 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/WindowFunction.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/sequence/window/WindowFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence.window; @@ -24,16 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/** - * A WindowFunction splits a sequence into a set of - * (possibly overlapping) sub-sequences. - * It is a general-purpose interface that can support - * many different types of - * - * Typically used for example with a transform such as {@link ReduceSequenceByWindowTransform} - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface WindowFunction extends Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/BaseSerializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/BaseSerializer.java index c0f51b515..2f9391543 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/BaseSerializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/BaseSerializer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; @@ -30,12 +34,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper; import java.util.Arrays; import java.util.List; -/** - * Abstract serializer for mapping Transforms, Conditions, Filters, DataActions etc to/from JSON.
- * Also: lists and arrays of these. - * - * @author Alex Black - */ public abstract class BaseSerializer { public abstract ObjectMapper getObjectMapper(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonMappers.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonMappers.java index bfa114697..3f1ae442a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonMappers.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonMappers.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; @@ -27,11 +31,6 @@ import org.nd4j.shade.jackson.databind.SerializationFeature; import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory; import org.nd4j.shade.jackson.datatype.joda.JodaModule; -/** - * JSON mappers for deserializing neural net configurations, etc. - * - * @author Alex Black - */ @Slf4j public class JsonMappers { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonSerializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonSerializer.java index 4b2297083..2a2475f23 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonSerializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/JsonSerializer.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; import org.nd4j.shade.jackson.databind.ObjectMapper; -/** - * Serializer used for converting objects (Transforms, Conditions, etc) to JSON format - * - * @author Alex Black - */ public class JsonSerializer extends BaseSerializer { private ObjectMapper om; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/ListWrappers.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/ListWrappers.java index fb46dbee4..e44b62e7e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/ListWrappers.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/ListWrappers.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; @@ -27,14 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.List; -/** - * A collection of list wrappers to avoid issues with Jackson losing generic type information and hence - * ignoring the json configuration annotations.
- * - * These are used internally in {@link BaseSerializer} and should not be used elsewhere - * - * @author Alex Black - */ public class ListWrappers { private ListWrappers() {} diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/YamlSerializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/YamlSerializer.java index 61537fa9e..6e5f75a91 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/YamlSerializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/YamlSerializer.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; import org.nd4j.shade.jackson.databind.ObjectMapper; -/** - * Serializer used for converting objects (Transforms, Conditions, etc) to YAML format - * - * @author Alex Black - */ public class YamlSerializer extends BaseSerializer { private ObjectMapper om; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/legacy/LegacyJsonFormat.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/legacy/LegacyJsonFormat.java index 8df741a49..85f50b631 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/legacy/LegacyJsonFormat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/serde/legacy/LegacyJsonFormat.java @@ -1,3 +1,23 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + package org.datavec.api.transform.serde.legacy; import lombok.AccessLevel; @@ -60,14 +80,6 @@ import org.nd4j.shade.jackson.annotation.JsonSubTypes; import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import org.nd4j.shade.jackson.databind.ObjectMapper; -/** - * This class defines a set of Jackson Mixins - which are a way of using a proxy class with annotations to override - * the existing annotations. - * In 1.0.0-beta, we switched how subtypes were handled in JSON ser/de: from "wrapper object" to "@class field". - * We use these mixins to allow us to still load the old format - * - * @author Alex Black - */ public class LegacyJsonFormat { private LegacyJsonFormat(){ } diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/RandomSplit.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/RandomSplit.java index fe4718f48..69b8e2979 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/RandomSplit.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/RandomSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.split; @@ -20,9 +24,6 @@ package org.datavec.api.transform.split; import lombok.AllArgsConstructor; import lombok.Data; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor @Data public class RandomSplit implements SplitStrategy { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/SplitStrategy.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/SplitStrategy.java index a3d12b15a..43c503e73 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/SplitStrategy.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/split/SplitStrategy.java @@ -1,24 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.split; -/** - * Created by Alex on 5/03/2016. - */ public interface SplitStrategy { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/IStringReducer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/IStringReducer.java index 54bd7b7c8..571762920 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/IStringReducer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/IStringReducer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.stringreduce; @@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.io.Serializable; import java.util.List; -/** - * A reducer aggregates or combines - * a set of examples into - * a single List - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface IStringReducer extends Serializable { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/StringReducer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/StringReducer.java index e6da89e4b..a487dc09c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/StringReducer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/stringreduce/StringReducer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.stringreduce; @@ -31,18 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * A StringReducer is used to take a set of examples and reduce them. - * The idea: suppose you have a large number of columns, and you want to combine/reduce the values in each column.
- * StringReducer allows you to specify different reductions for differently for different columns: min, max, sum, mean etc. - * See {@link Builder} and {@link ReduceOp} for the full list.
- *

- * Uses are: - * (1) Reducing examples by a key - * (2) Reduction operations in time series (windowing ops, etc) - * - * @author Alex Black - */ @Data @JsonIgnoreProperties({"schema", "keyColumnsSet"}) @EqualsAndHashCode(exclude = {"schema", "keyColumnsSet"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnTransform.java index e6d4edd73..f943e4618 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; @@ -28,11 +32,6 @@ import java.util.ArrayList; import java.util.Iterator; import java.util.List; -/** - * Map the values in a single column to new values. - * For example: string -> string, or empty -> x type - * transforms for a single column - */ @Data @JsonIgnoreProperties({"inputSchema", "columnNumber"}) @NoArgsConstructor diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnsMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnsMathOpTransform.java index f396e9b1e..59d3ed4ac 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnsMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseColumnsMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; @@ -34,24 +38,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Base class for multiple column math operations. For example myNewColumn = column1 + column2 + column3.
- * Note: this transform adds a (derived) column (with the specified name) to the end
- *

- * Note: Certain operations have restrictions on the number of columns used as input
- * Add: 2 or more (a+b+c+...)
- * Subtract: exactly 2 (a-b)
- * Multiply: 2 or more (a*b*c*...)
- * Divide: exactly 2 (a/b)
- * Modulus: exactly 2 (a%b)
- * Other math ops (ReverseSubtract, ReverseDivide, ScalarMin, ScalarMax) are not allowed here. - *

- *

- *

- *

- * See: {@link IntegerMathOpTransform}, {@link DoubleMathOpTransform}, {@link LongMathOpTransform} for operations - * with a scalar + single column, instea - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonIgnoreProperties({"columnIdxs", "inputSchema"}) @EqualsAndHashCode(exclude = {"columnIdxs", "inputSchema"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseTransform.java index 337e0f417..8be70ab74 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/BaseTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; @@ -25,14 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import java.util.ArrayList; import java.util.List; -/** - * BaseTransform: an - * abstract transform class, that handles transforming - * sequences by transforming - * each example individually - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema"}) @Data public abstract class BaseTransform implements Transform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToIntegerTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToIntegerTransform.java index 5afa05552..b2e00596f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToIntegerTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToIntegerTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.categorical; @@ -29,9 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Created by Alex on 4/03/2016. - */ @Data @JsonIgnoreProperties({"inputSchema", "columnIdx", "stateNames", "statesMap"}) public class CategoricalToIntegerTransform extends BaseTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToOneHotTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToOneHotTransform.java index 4b8fc7004..abbfc4169 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToOneHotTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/CategoricalToOneHotTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.categorical; @@ -29,9 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Created by Alex on 4/03/2016. - */ @Data @JsonIgnoreProperties({"inputSchema", "columnIdx", "stateNames", "statesMap"}) public class CategoricalToOneHotTransform extends BaseTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/FirstDigitTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/FirstDigitTransform.java index 4c873f059..3284ed980 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/FirstDigitTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/FirstDigitTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.categorical; @@ -31,20 +35,6 @@ import java.util.Arrays; import java.util.Collections; import java.util.List; -/** - * FirstDigitTransform converts a column to a categorical column, with values being the first digit of the number.
- * For example, "3.1415" becomes "3" and "2.0" becomes "2".
- * Negative numbers ignore the sign: "-7.123" becomes "7".
- * Note that two {@link Mode}s are supported, which determines how non-numerical entries should be handled:
- * EXCEPTION_ON_INVALID: output has 10 category values ("0", ..., "9"), and any non-numerical values result in an exception
- * INCLUDE_OTHER_CATEGORY: output has 11 category values ("0", ..., "9", "Other"), all non-numerical values are mapped to "Other"
- *
- * FirstDigitTransform is useful (combined with {@link CategoricalToOneHotTransform} and Reductions) to implement - * Benford's law. - - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnIdx"}) public class FirstDigitTransform extends BaseTransform { public static final String OTHER_CATEGORY = "Other"; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/IntegerToCategoricalTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/IntegerToCategoricalTransform.java index ebe4650b3..97f0cf5bd 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/IntegerToCategoricalTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/IntegerToCategoricalTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.categorical; @@ -27,11 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Convert an integer column to a categorical column, using a provided {@code Map} - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnNumber"}) @Data public class IntegerToCategoricalTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/PivotTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/PivotTransform.java index c90f5a492..39bc5c315 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/PivotTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/PivotTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.categorical; @@ -27,21 +31,6 @@ import java.util.ArrayList; import java.util.Iterator; import java.util.List; -/** - * Pivot transform operates on two columns: - * - a categorical column that operates as a key, and - * - Another column that contains a value - * Essentially, Pivot transform takes keyvalue pairs and breaks them out into separate columns. - * - * For example, with schema [col0, key, value, col3] - * and values with key in {a,b,c} - * Output schema is [col0, key[a], key[b], key[c], col3] - * and input (col0Val, b, x, col3Val) gets mapped to (col0Val, 0, x, 0, col3Val). - * - * When expanding columns, a default value is used - for example 0 for numerical columns. - * - * @author Alex Black - */ @Data public class PivotTransform extends BaseTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/StringToCategoricalTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/StringToCategoricalTransform.java index b1f9ef0a5..3d6a9bccd 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/StringToCategoricalTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/categorical/StringToCategoricalTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.categorical; @@ -27,10 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Arrays; import java.util.List; -/** - * Convert a String column - * to a categorical column - */ @JsonIgnoreProperties({"inputSchema", "columnNumber"}) @Data public class StringToCategoricalTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/AddConstantColumnTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/AddConstantColumnTransform.java index ecb7d5f9e..79cb0c3ca 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/AddConstantColumnTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/AddConstantColumnTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.column; @@ -27,11 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Add a new column, where the values in that column for all records are identical (according to the specified value) - * - * @author Alex Black - */ @Data public class AddConstantColumnTransform implements Transform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/DuplicateColumnsTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/DuplicateColumnsTransform.java index 10a5def5b..0e436591a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/DuplicateColumnsTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/DuplicateColumnsTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.column; @@ -30,13 +34,6 @@ import java.util.HashSet; import java.util.List; import java.util.Set; -/** - * Duplicate one or more columns. - * The duplicated columns - * are placed immediately after the original columns - * - * @author Alex Black - */ @JsonIgnoreProperties({"columnsToDuplicateSet", "columnIndexesToDuplicateSet", "inputSchema"}) @Data public class DuplicateColumnsTransform implements Transform, ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveAllColumnsExceptForTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveAllColumnsExceptForTransform.java index 103f682cf..6b9111a8c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveAllColumnsExceptForTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveAllColumnsExceptForTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.column; @@ -27,15 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Transform that removes all columns except - * for those that are explicitly - * specified as ones to keep - * To specify only the columns - * to remove, use {@link RemoveColumnsTransform} - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnsToKeepIdx", "indicesToKeep"}) @Data public class RemoveAllColumnsExceptForTransform extends BaseTransform implements ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveColumnsTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveColumnsTransform.java index 6712db780..dda21ff4c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveColumnsTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RemoveColumnsTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.column; @@ -28,13 +32,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Remove the specified columns from the data. - * To specify only the columns to keep, - * use {@link RemoveAllColumnsExceptForTransform} - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnsToRemoveIdx", "indicesToRemove"}) @Data public class RemoveColumnsTransform extends BaseTransform implements ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RenameColumnsTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RenameColumnsTransform.java index a4173537f..7aa35d91d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RenameColumnsTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/RenameColumnsTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.column; @@ -29,11 +33,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Rename one or more columns - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema"}) @Data public class RenameColumnsTransform implements Transform, ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/ReorderColumnsTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/ReorderColumnsTransform.java index c803fc98c..393230b92 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/ReorderColumnsTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/column/ReorderColumnsTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.column; @@ -29,13 +33,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Rearrange the order of the columns. - * Note: A partial list of columns can be used here. Any columns that are not explicitly mentioned - * will be placed after those that are in the output, without changing their relative order. - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "outputOrder"}) @Data public class ReorderColumnsTransform implements Transform, ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalCopyValueTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalCopyValueTransform.java index defa6f132..9a0b89d65 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalCopyValueTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalCopyValueTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.condition; @@ -29,21 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Replace the value in a specified column with a new value taken from another column, if a condition is satisfied/true.
- * Note that the condition can be any generic condition, including on other column(s), different to the column - * that will be modified if the condition is satisfied/true.
- *

- * Note: For sequences, this - * transform use the convention that - * each step in the sequence is passed - * to the condition, - * and replaced (or not) separately (i.e., Condition.condition(List) - * is used on each time step individually) - * - * @author Alex Black - * @see ConditionalReplaceValueTransform to do a conditional replacement with a fixed value (instead of a value from another column) - */ @JsonIgnoreProperties({"columnToReplaceIdx", "sourceColumnIdx"}) @EqualsAndHashCode(exclude = {"columnToReplaceIdx", "sourceColumnIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransform.java index e8dfebb49..f37bdc5a3 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.condition; @@ -29,17 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Replace the value in a specified column with a new value, if a condition is satisfied/true.
- * Note that the condition can be any generic condition, including on other column(s), different to the column - * that will be modified if the condition is satisfied/true.
- *

- * Note: For sequences, this transform use the convention that each step in the sequence is passed to the condition, - * and replaced (or not) separately (i.e., Condition.condition(List) is used on each time step individually) - * - * @author Alex Black - * @see ConditionalCopyValueTransform to do a conditional replacement with a value taken from another column - */ @JsonIgnoreProperties({"columnToReplaceIdx"}) @EqualsAndHashCode(exclude = {"columnToReplaceIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransformWithDefault.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransformWithDefault.java index f918548f7..8df7a4131 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransformWithDefault.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/condition/ConditionalReplaceValueTransformWithDefault.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.condition; @@ -29,19 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Replace the value in a specified column with a 'yes' value, if a condition is satisfied/true.
- * Replace the value of this same column with a 'no' value otherwise. - * Note that the condition can be any generic condition, including on other column(s), different to the column - * that will be modified if the condition is satisfied/true.
- *

- * Note: For sequences, this transform use the convention that each step in the sequence is passed to the condition, - * and replaced (or not) separately (i.e., Condition.condition(List) is used on each time step individually) - * - * @author Alex Black - * @author kepricon - * @see ConditionalReplaceValueTransform the version without a 'no' Value - */ @JsonIgnoreProperties({"filterColIdx"}) @EqualsAndHashCode(exclude = {"filterColIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/BaseDoubleTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/BaseDoubleTransform.java index 401d1cdda..291ae3978 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/BaseDoubleTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/BaseDoubleTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/ConvertToDouble.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/ConvertToDouble.java index f07c5083b..901a8d5a2 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/ConvertToDouble.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/ConvertToDouble.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -24,11 +28,6 @@ import org.datavec.api.writable.DoubleWritable; import org.datavec.api.writable.Writable; import org.datavec.api.writable.WritableType; -/** - * Convert any value to an Double - * - * @author Justin Long (crockpotveggies) - */ @NoArgsConstructor @Data public class ConvertToDouble extends BaseDoubleTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleColumnsMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleColumnsMathOpTransform.java index 33a1ff922..2137a9f6b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleColumnsMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleColumnsMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -30,15 +34,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Add a new double column, calculated from one or more other columns. A new column (with the specified name) is added - * as the final column of the output. No other columns are modified.
- * For example, if newColumnName=="newCol", mathOp==Add, and columns=={"col1","col2"}, then the output column - * with name "newCol" has value col1+col2.
- * - * @author Alex Black - * @see DoubleMathOpTransform To do an in-place mathematical operation of a double column and a double scalar value - */ @Data public class DoubleColumnsMathOpTransform extends BaseColumnsMathOpTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathFunctionTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathFunctionTransform.java index 07df6df20..814f7aefe 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathFunctionTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathFunctionTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -22,12 +26,6 @@ import org.datavec.api.writable.DoubleWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
- * Operations are specified by {@link MathFunction} - * - * @author Alex Black - */ @Data public class DoubleMathFunctionTransform extends BaseDoubleTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathOpTransform.java index 61b21dcf0..3def70370 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/DoubleMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -28,13 +32,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Double mathematical operation.
- * This is an in-place operation of the double column value and a double scalar. - * - * @author Alex Black - * @see DoubleColumnsMathOpTransform to do a mathematical operation involving multiple columns (instead of a scalar) - */ @Data public class DoubleMathOpTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/Log2Normalizer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/Log2Normalizer.java index 108488b32..d1a22f615 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/Log2Normalizer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/Log2Normalizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -23,13 +27,6 @@ import org.datavec.api.writable.DoubleWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Normalize by taking scale * log2((in-columnMin)/(mean-columnMin) + 1) - * Maps values in range (columnMin to infinity) to (0 to infinity) - * Most suitable for values with a geometric/negative exponential type distribution. - * - * @author Alex Black - */ @Data public class Log2Normalizer extends BaseDoubleTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/MinMaxNormalizer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/MinMaxNormalizer.java index 5738f277d..879db28c6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/MinMaxNormalizer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/MinMaxNormalizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -24,13 +28,6 @@ import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Normalizer to map (min to max) -> (newMin-to newMax) linearly.
- *

- * Mathematically: (newMax-newMin)/(max-min) * (x-min) + newMin - * - * @author Alex Black - */ @Data @JsonIgnoreProperties({"ratio", "inputSchema", "columnNumber"}) public class MinMaxNormalizer extends BaseDoubleTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/StandardizeNormalizer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/StandardizeNormalizer.java index adcb1de84..9899f6d2d 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/StandardizeNormalizer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/StandardizeNormalizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -21,12 +25,6 @@ import org.datavec.api.writable.DoubleWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Normalize using (x-mean)/stdev. - * Also known as a standard score, standardization etc. - * - * @author Alex Black - */ @Data public class StandardizeNormalizer extends BaseDoubleTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/SubtractMeanNormalizer.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/SubtractMeanNormalizer.java index 381de7153..32d61ac5c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/SubtractMeanNormalizer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/doubletransform/SubtractMeanNormalizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.doubletransform; @@ -21,9 +25,6 @@ import org.datavec.api.writable.DoubleWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Normalize by substracting the mean - */ @Data public class SubtractMeanNormalizer extends BaseDoubleTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/BaseFloatTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/BaseFloatTransform.java index 90e017cac..1c3e3a3ae 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/BaseFloatTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/BaseFloatTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.floattransform; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/ConvertToFloat.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/ConvertToFloat.java index 96f46dd8d..cbb72e4e5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/ConvertToFloat.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/ConvertToFloat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.floattransform; @@ -24,11 +28,6 @@ import org.datavec.api.writable.FloatWritable; import org.datavec.api.writable.Writable; import org.datavec.api.writable.WritableType; -/** - * Convert any value to a Float - * - * @author Fariz Rahman (farizrahman4u) - */ @NoArgsConstructor @Data public class ConvertToFloat extends BaseFloatTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatColumnsMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatColumnsMathOpTransform.java index ca3a97bf8..ec0930a76 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatColumnsMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatColumnsMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.floattransform; @@ -31,15 +35,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Add a new float column, calculated from one or more other columns. A new column (with the specified name) is added - * as the final column of the output. No other columns are modified.
- * For example, if newColumnName=="newCol", mathOp==Add, and columns=={"col1","col2"}, then the output column - * with name "newCol" has value col1+col2.
- * - * @author Fariz Rahman - * @see FloatMathOpTransform To do an in-place mathematical operation of a double column and a double scalar value - */ @Data public class FloatColumnsMathOpTransform extends BaseColumnsMathOpTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathFunctionTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathFunctionTransform.java index 7781311cb..7ab36e9d9 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathFunctionTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathFunctionTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.floattransform; @@ -22,12 +26,6 @@ import org.datavec.api.writable.FloatWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
- * Operations are specified by {@link MathFunction} - * - * @author Alex Black - */ @Data public class FloatMathFunctionTransform extends BaseFloatTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathOpTransform.java index 048e556d7..bab756de0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/floattransform/FloatMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.floattransform; @@ -29,13 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.ArrayList; import java.util.List; -/** - * Float mathematical operation.
- * This is an in-place operation of the float column value and a float scalar. - * - * @author Alex Black - * @see FloatColumnsMathOpTransform to do a mathematical operation involving multiple columns (instead of a scalar) - */ @Data public class FloatMathOpTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/BaseIntegerTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/BaseIntegerTransform.java index 6a42941e7..ae1b4eaa4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/BaseIntegerTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/BaseIntegerTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -23,9 +27,6 @@ import org.datavec.api.transform.metadata.ColumnMetaData; import org.datavec.api.transform.transform.BaseColumnTransform; import org.datavec.api.writable.Writable; -/** - * Abstract integer transformation (single column) - */ @EqualsAndHashCode(callSuper = true) @Data @NoArgsConstructor diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ConvertToInteger.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ConvertToInteger.java index db2f53575..c26e7e2be 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ConvertToInteger.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ConvertToInteger.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -24,11 +28,6 @@ import org.datavec.api.writable.IntWritable; import org.datavec.api.writable.Writable; import org.datavec.api.writable.WritableType; -/** - * Convert any value to an Integer. - * - * @author Justin Long (crockpotveggies) - */ @Data @NoArgsConstructor public class ConvertToInteger extends BaseIntegerTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerColumnsMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerColumnsMathOpTransform.java index 4ac8b176b..d8b497444 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerColumnsMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerColumnsMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -31,20 +35,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Add a new integer column, calculated from one or more other columns. - * A new column (with the specified name) is added - * as the final column of the output. No other columns are modified.
- * For example, if newColumnName=="newCol", mathOp==MathOp.Add, and columns=={"col1","col2"}, - * then the output column - * with name "newCol" has value col1+col2.
- * NOTE: Division here is using - * integer division (integer output). Use {@link DoubleColumnsMathOpTransform} - * if a decimal output value is required. - * - * @author Alex Black - * @see IntegerMathOpTransform To do an in-place mathematical operation of an integer column and an integer scalar value - */ @Data public class IntegerColumnsMathOpTransform extends BaseColumnsMathOpTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerMathOpTransform.java index aa94c7e81..19d1d005e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -25,13 +29,6 @@ import org.datavec.api.writable.IntWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Integer mathematical operation.
- * This is an in-place operation of the integer column value and an integer scalar. - * - * @author Alex Black - * @see IntegerColumnsMathOpTransform to do a mathematical operation involving multiple columns (instead of a scalar) - */ @Data public class IntegerMathOpTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerToOneHotTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerToOneHotTransform.java index 4e7744151..edcc6a006 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerToOneHotTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/IntegerToOneHotTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -31,12 +35,6 @@ import java.util.ArrayList; import java.util.Iterator; import java.util.List; -/** - * Convert an integer column to a set of one-hot columns. - * - * - * @author Alex Black - */ @Data @EqualsAndHashCode(exclude = {"columnIdx"}, callSuper = false) @JsonIgnoreProperties({"inputSchema", "columnIdx", "stateNames", "statesMap"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceEmptyIntegerWithValueTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceEmptyIntegerWithValueTransform.java index 891e84746..bb0c79662 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceEmptyIntegerWithValueTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceEmptyIntegerWithValueTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -22,9 +26,6 @@ import org.datavec.api.writable.IntWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Replace an empty/missing integer with a certain value. - */ @EqualsAndHashCode(callSuper = true) @Data public class ReplaceEmptyIntegerWithValueTransform extends BaseIntegerTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceInvalidWithIntegerTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceInvalidWithIntegerTransform.java index 93ec4e3c2..7aaeb5ae4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceInvalidWithIntegerTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/integer/ReplaceInvalidWithIntegerTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.integer; @@ -21,9 +25,6 @@ import org.datavec.api.writable.IntWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Replace an invalid (non-integer) value in a column with a specified integer - */ @Data public class ReplaceInvalidWithIntegerTransform extends BaseIntegerTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongColumnsMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongColumnsMathOpTransform.java index 2ad90e401..3c3ab0383 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongColumnsMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongColumnsMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.longtransform; @@ -31,17 +35,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Add a new long column, calculated from one or more other columns. A new column (with the specified name) is added - * as the final column of the output. No other columns are modified.
- * For example, if newColumnName=="newCol", mathOp==MathOp.Add, and columns=={"col1","col2"}, then the output column - * with name "newCol" has value col1+col2.
- * NOTE: Division here is using long division (long output). Use {@link DoubleColumnsMathOpTransform} - * if a decimal output value is required. - * - * @author Alex Black - * @see LongMathOpTransform To do an in-place mathematical operation of a long column and a long scalar value - */ @Data public class LongColumnsMathOpTransform extends BaseColumnsMathOpTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongMathOpTransform.java index 0db280f82..54c1bdbea 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/longtransform/LongMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.longtransform; @@ -25,13 +29,6 @@ import org.datavec.api.writable.LongWritable; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Long mathematical operation.
- * This is an in-place operation of the long column value and an long scalar. - * - * @author Alex Black - * @see LongColumnsMathOpTransform to do a mathematical operation involving multiple long columns (instead of a scalar) - */ @Data public class LongMathOpTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToCharacterIndexTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToCharacterIndexTransform.java index 97335788e..82b3139eb 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToCharacterIndexTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToCharacterIndexTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.nlp; @@ -27,13 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * - * Convert each text value in a sequence to a longer sequence of integer indices. - * For example, "abc" would be converted to [1, 2, 3]. Values in other columns will be duplicated. - * - * @author Alex Black - */ @Data @EqualsAndHashCode(callSuper = true, exclude = {""}) public class TextToCharacterIndexTransform extends BaseSequenceExpansionTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToTermIndexSequenceTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToTermIndexSequenceTransform.java index 89dd429b4..1603bba82 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToTermIndexSequenceTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/nlp/TextToTermIndexSequenceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.nlp; @@ -29,14 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * - * Convert each text value in a sequence to a longer sequence of integer indices. - * For example, "zero one two" would be converted to [0, 1, 2]. Values in other - * columns will be duplicated. - * - * @author Dave Kale - */ @Data @EqualsAndHashCode(callSuper = true, exclude = {"writableMap"}) @JsonIgnoreProperties({"writableMap"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/normalize/Normalize.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/normalize/Normalize.java index 7386ddf73..56c4973e6 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/normalize/Normalize.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/normalize/Normalize.java @@ -1,34 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.normalize; -/**Built-in normalization methods. - * - * Normalization methods include:
- * MinMax: (x-min)/(max-min) -> maps values to range [0,1]
- * MinMax2: 2 * (x-min)/(max-min) + 1 -> maps values to range [-1,1]
- * Standardize: Normalize such that output has distribution N(0,1)
- * SubtractMean: Normalize by only subtracting the mean value
- * Log2Mean: Normalization of the form log2((x-min)/(mean-min) + 1)
- * Log2MeanExcludingMin: As per Log2Mean, but the 'mean' is calculated excluding the minimum value.
- * - * - * @author Alex Black - */ public enum Normalize { MinMax, MinMax2, Standardize, SubtractMean, Log2Mean, Log2MeanExcludingMin diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/parse/ParseDoubleTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/parse/ParseDoubleTransform.java index 82b183aa3..aa11c3b47 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/parse/ParseDoubleTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/parse/ParseDoubleTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.parse; @@ -27,11 +31,6 @@ import org.datavec.api.writable.Writable; import java.util.ArrayList; import java.util.List; -/** - * Convert string writables to doubles - * - * @author Adam GIbson - */ @Data public class ParseDoubleTransform extends BaseTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceDifferenceTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceDifferenceTransform.java index 62d921d84..0861dd22b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceDifferenceTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceDifferenceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.sequence; @@ -29,23 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude; import java.util.ArrayList; import java.util.List; -/** - * SequenceDifferenceTransform: for an input sequence, calculate the difference on one column.
- * For each time t, calculate someColumn(t) - someColumn(t-s), where s >= 1 is the 'lookback' period.
- *
- * Note: at t=0 (i.e., the first step in a sequence; or more generally, for all times t < s), there is no previous value - * from which to calculate the difference. The {@link FirstStepMode} enumeration provides the following ways of handling - * these time steps:
- * 1. Default: output = someColumn(t) - someColumn(max(t-s, 0)) - * 2. SpecifiedValue: output = someColumn(t) - someColumn(t-s) if t-s >= 0, or a custom Writable object (for example, a DoubleWritable(0) - * or NullWritable). - *

- * Note: this is an in-place operation: i.e., the values in each column are modified. If the original values are - * to be retained in the data set, first make a copy (for example, using {@link org.datavec.api.transform.TransformProcess.Builder#duplicateColumn(String, String)}) - * and apply the difference operation in-place on the copy. - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonIgnoreProperties({"inputSchema", "columnType"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceMovingWindowReduceTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceMovingWindowReduceTransform.java index 3a5a9dce4..4cca4de30 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceMovingWindowReduceTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceMovingWindowReduceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.sequence; @@ -37,17 +41,6 @@ import java.util.Collections; import java.util.LinkedList; import java.util.List; -/** - * SequenceMovingWindowReduceTransform Adds a new column, where the value is derived by:
- * (a) using a window of the last N values in a single column,
- * (b) Apply a reduction op on the window to calculate a new value
- * for example, this transformer can be used to implement a simple moving average of the last N values, - * or determine the minimum or maximum values in the last N time steps. - * - * For a simple moving average, length 20: {@code new SequenceMovingWindowReduceTransform("myCol", 20, ReduceOp.Mean)} - * - * @author Alex Black - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonIgnoreProperties({"inputSchema"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceOffsetTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceOffsetTransform.java index a23db1e95..47397acda 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceOffsetTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/sequence/SequenceOffsetTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.sequence; @@ -29,27 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Sequence offset transform takes a sequence, and shifts The values in one or more columns by a specified number of - * times steps. It has 2 modes of operation (OperationType enum), with respect to the columns it operates on:
- * InPlace: operations may be performed in-place, modifying the values in the specified columns
- * NewColumn: operations may produce new columns, with the original (source) columns remaining unmodified
- *

- * Additionally, there are 2 modes for handling values outside the original sequence (EdgeHandling enum): - * TrimSequence: the entire sequence is trimmed (start or end) by a specified number of steps
- * SpecifiedValue: for any values outside of the original sequence, they are given a specified value
- *

- * Note 1: When specifying offsets, they are done as follows: - * Positive offsets: move the values in the specified columns to a later time. Earlier time steps are either be trimmed - * or Given specified values; the last values in these columns will be truncated/removed. - *

- * Note 2: Care must be taken when using TrimSequence: for example, if we chain multiple sequence offset transforms on the - * one dataset, we may end up trimming much more than we want. In this case, it may be better to use SpecifiedValue, - * (with, for example, NullWritable) and then do a single trim operation (via {@link org.datavec.api.transform.sequence.trim.SequenceTrimTransform}) - * at the end. - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnsToOffsetSet"}) @JsonInclude(JsonInclude.Include.NON_NULL) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/AppendStringColumnTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/AppendStringColumnTransform.java index 3f16c0a4b..ca3069b45 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/AppendStringColumnTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/AppendStringColumnTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -25,12 +29,6 @@ import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Append a String to the - * values in a single column - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnNumber"}) @Data public class AppendStringColumnTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/BaseStringTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/BaseStringTransform.java index 0e89fb59b..0cacf36be 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/BaseStringTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/BaseStringTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -26,9 +30,6 @@ import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; -/** - * Abstract String column transform - */ @EqualsAndHashCode(callSuper = true) @Data @NoArgsConstructor diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ChangeCaseStringTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ChangeCaseStringTransform.java index 4472b4d80..3fe18e354 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ChangeCaseStringTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ChangeCaseStringTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -21,11 +25,6 @@ import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Change case (to, e.g, all lower case) of String column. - * - * @author dave@skymind.io - */ @Data public class ChangeCaseStringTransform extends BaseStringTransform { public enum CaseType { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConcatenateStringColumns.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConcatenateStringColumns.java index b97e23ae4..c1d1b5a87 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConcatenateStringColumns.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConcatenateStringColumns.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -31,15 +35,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Concatenate values of one or more String columns into - * a new String column. Retains the constituent String - * columns so user must remove those manually, if desired. - * - * TODO: use new String Reduce functionality in DataVec? - * - * @author dave@skymind.io - */ @JsonIgnoreProperties({"inputSchema"}) @Data public class ConcatenateStringColumns extends BaseTransform implements ColumnOp { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConvertToString.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConvertToString.java index 2c98fa0fe..cd19b025e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConvertToString.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ConvertToString.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -21,11 +25,6 @@ import lombok.NoArgsConstructor; import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; -/** - * Convert any value to a string. - * - * @author Adam Gibson - */ @NoArgsConstructor @Data public class ConvertToString extends BaseStringTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/MapAllStringsExceptListTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/MapAllStringsExceptListTransform.java index 7f747ce49..9421a191b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/MapAllStringsExceptListTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/MapAllStringsExceptListTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -26,11 +30,6 @@ import java.util.HashSet; import java.util.List; import java.util.Set; -/** - * This method maps all String values, except those is the specified list, to a single String value - * - * @author Alex Black - */ @Data @EqualsAndHashCode public class MapAllStringsExceptListTransform extends BaseStringTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/RemoveWhiteSpaceTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/RemoveWhiteSpaceTransform.java index cabcc85f1..5530b7826 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/RemoveWhiteSpaceTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/RemoveWhiteSpaceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -22,9 +26,6 @@ import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * String transform that removes all whitespace charaters - */ @EqualsAndHashCode(callSuper = true) @Data public class RemoveWhiteSpaceTransform extends BaseStringTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceEmptyStringTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceEmptyStringTransform.java index c8cf82c03..bd5741812 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceEmptyStringTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceEmptyStringTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -22,9 +26,6 @@ import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Replace empty String values with the specified String - */ @EqualsAndHashCode(callSuper = true) @Data public class ReplaceEmptyStringTransform extends BaseStringTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceStringTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceStringTransform.java index 2943141b9..93b480189 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceStringTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/ReplaceStringTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -24,9 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Map; -/** - * Replaces String values that match regular expressions. - */ @EqualsAndHashCode(callSuper = true) @Data public class ReplaceStringTransform extends BaseStringTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCategoricalSetTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCategoricalSetTransform.java index ecb58eea9..a8b7b159e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCategoricalSetTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCategoricalSetTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -30,13 +34,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.*; -/** - * Convert a delimited String to a list of binary categorical columns. - * Suppose the possible String values were {"a","b","c","d"} and the String column value to be converted contained - * the String "a,c", then the 4 output columns would have values ["true","false","true","false"] - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "map", "columnIdx"}) @EqualsAndHashCode(callSuper = false, exclude = {"columnIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCountsNDArrayTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCountsNDArrayTransform.java index d40f0d720..7eda354d0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCountsNDArrayTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToCountsNDArrayTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -35,12 +39,6 @@ import java.io.File; import java.io.IOException; import java.util.*; -/** - * Converts String column into a bag-of-words (BOW) represented as an NDArray of "counts."
- * Note that the original column is removed in the process - * - * @author dave@skymind.io - */ @JsonIgnoreProperties({"inputSchema", "map", "columnIdx"}) @EqualsAndHashCode(callSuper = false, exclude = {"columnIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToIndicesNDArrayTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToIndicesNDArrayTransform.java index 3a4ca58ba..4818cc915 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToIndicesNDArrayTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringListToIndicesNDArrayTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -26,14 +30,6 @@ import java.util.Collection; import java.util.Collections; import java.util.List; -/** - * Converts String column into a sparse bag-of-words (BOW) - * represented as an NDArray of indices. Appropriate for - * embeddings or as efficient storage before being expanded - * into a dense array. - * - * @author dave@skymind.io - */ @Data public class StringListToIndicesNDArrayTransform extends StringListToCountsNDArrayTransform { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringMapTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringMapTransform.java index b78c34771..45971c629 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringMapTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/string/StringMapTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.string; @@ -24,15 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Map; -/** - * A simple String -> String map function. - * - * Keys in the map are the original values; the Values in the map are their replacements. - * If a String appears in the data but does not appear in the provided map (as a key), that String values will - * not be modified. - * - * @author Alex Black - */ @EqualsAndHashCode(callSuper = true) @Data public class StringMapTransform extends BaseStringTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/DeriveColumnsFromTimeTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/DeriveColumnsFromTimeTransform.java index 6c126ef9a..e8674cc04 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/DeriveColumnsFromTimeTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/DeriveColumnsFromTimeTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.time; @@ -48,12 +52,6 @@ import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * Create a number of new columns by deriving their values from a Time column. - * Can be used for example to create new columns with the year, month, day, hour, minute, second etc. - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "insertAfterIdx", "deriveFromIdx"}) @EqualsAndHashCode(exclude = {"inputSchema", "insertAfterIdx", "deriveFromIdx"}) @Data diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/StringToTimeTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/StringToTimeTransform.java index df05702f6..fc73926be 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/StringToTimeTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/StringToTimeTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.time; @@ -38,13 +42,6 @@ import java.util.TimeZone; import java.util.Locale; import java.util.regex.Pattern; -/** - * Convert a String column to a time column by parsing the date/time String, using a JodaTime. - *

- * Time format is specified as per http://www.joda.org/joda-time/apidocs/org/joda/time/format/DateTimeFormat.html - * - * @author Alex Black - */ @Data @EqualsAndHashCode(exclude = {"formatter", "formatters"}) @JsonIgnoreProperties({"formatters", "formatter"}) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/TimeMathOpTransform.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/TimeMathOpTransform.java index 45bac652a..2268281d5 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/TimeMathOpTransform.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/transform/time/TimeMathOpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.time; @@ -28,14 +32,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.concurrent.TimeUnit; -/** - * Transform math op on a time column - *

- * Note: only the following MathOps are supported: Add, Subtract, ScalarMin, ScalarMax
- * For ScalarMin/Max, the TimeUnit must be milliseconds - i.e., value must be in epoch millisecond format - * - * @author Alex Black - */ @JsonIgnoreProperties({"inputSchema", "columnNumber", "asMilliseconds"}) @Data public class TimeMathOpTransform extends BaseColumnTransform { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/DivObject.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/DivObject.java index 886533bc5..29b236f05 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/DivObject.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/DivObject.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui; import lombok.AllArgsConstructor; import lombok.Data; -/** - * Created by Alex on 25/03/2016. - */ @AllArgsConstructor @Data public class DivObject { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlAnalysis.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlAnalysis.java index 5fc4309ab..b4fdc3a97 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlAnalysis.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui; @@ -43,11 +47,6 @@ import java.io.Writer; import java.nio.charset.StandardCharsets; import java.util.*; -/** - * Utilities for rendering {@link DataAnalysis} objects as HTML - * - * @author Alex Black - */ public class HtmlAnalysis { private HtmlAnalysis() { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlSequencePlotting.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlSequencePlotting.java index 1821ae2ca..b9baa5165 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlSequencePlotting.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/HtmlSequencePlotting.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui; @@ -42,13 +46,6 @@ import java.io.Writer; import java.nio.charset.StandardCharsets; import java.util.*; -/** - * A simple utility for plotting DataVec sequence data to HTML files. - * Each file contains only one sequence. Each column is plotted separately; only numerical and categorical columns are - * plotted. - * - * @author Alex Black - */ public class HtmlSequencePlotting { private HtmlSequencePlotting() { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponent.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponent.java index e3b9fd08b..82efb103b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponent.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponent.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui.components; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentHistogram.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentHistogram.java index 9cfe4f062..7efa3d894 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentHistogram.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentHistogram.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui.components; @@ -22,9 +26,6 @@ import lombok.EqualsAndHashCode; import java.util.ArrayList; import java.util.List; -/** - * Created by Alex on 25/03/2016. - */ @EqualsAndHashCode(callSuper = true) @Data public class RenderableComponentHistogram extends RenderableComponent { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentLineChart.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentLineChart.java index 1b8410d46..f2cb8793b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentLineChart.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentLineChart.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui.components; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentTable.java b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentTable.java index e3bcc67f1..9d22fcc95 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentTable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/transform/ui/components/RenderableComponentTable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui.components; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/ClassPathResource.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/ClassPathResource.java index 6aa59b705..79584a44f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/ClassPathResource.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/ClassPathResource.java @@ -1,24 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util; -/** - * @deprecated Use {@link org.nd4j.common.io.ClassPathResource} - */ @Deprecated public class ClassPathResource extends org.nd4j.common.io.ClassPathResource { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/RecordUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/RecordUtils.java index 296f85009..098aac53f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/RecordUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/RecordUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util; @@ -23,11 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.ArrayList; import java.util.List; -/** - * Create records from the specified input - * - * @author Adam Gibson - */ public class RecordUtils { public static List toRecord(double[] record) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/ReflectionUtils.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/ReflectionUtils.java index a34a86a27..7bc9618ca 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/ReflectionUtils.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/ReflectionUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util; @@ -27,9 +31,6 @@ import org.datavec.api.io.serializers.Serializer; import java.io.IOException; import java.lang.reflect.Method; -/** - * @deprecated Use {@link org.nd4j.common.io.ReflectionUtils} - */ @Deprecated public class ReflectionUtils { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/FileFromPathIterator.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/FileFromPathIterator.java index 23b6788f3..3c7ddd86b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/FileFromPathIterator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/FileFromPathIterator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.files; @@ -24,12 +28,6 @@ import java.net.URISyntaxException; import java.util.Iterator; import java.util.NoSuchElementException; -/** - * A simple utility method to convert a {@code Iterator} to an {@code Iterator}, where each - * String in the original iterator is created via URI.toString() - * - * @author Alex Black - */ @AllArgsConstructor public class FileFromPathIterator implements Iterator { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/ShuffledListIterator.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/ShuffledListIterator.java index c6099e231..163f9806f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/ShuffledListIterator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/ShuffledListIterator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.files; @@ -20,12 +24,6 @@ import java.util.Iterator; import java.util.List; import java.util.NoSuchElementException; -/** - * A very simple iterator over a list, that takes an optional int[] for the order. - * If the order array is not present, elements are returned in sequential order. - * - * @author Alex Black - */ public class ShuffledListIterator implements Iterator { private final List list; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/URIUtil.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/URIUtil.java index e10da5e17..5469476db 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/URIUtil.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/URIUtil.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.files; @@ -20,11 +24,6 @@ import java.io.File; import java.net.URI; import java.net.URISyntaxException; -/** - * Lightweight utilities for converting files to URI. - * - * @author Justin Long (crockpotveggies) - */ public class URIUtil { public static URI fileToURI(File f) { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/UriFromPathIterator.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/UriFromPathIterator.java index 4b910410d..148ae9765 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/files/UriFromPathIterator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/files/UriFromPathIterator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.files; @@ -25,12 +29,6 @@ import java.util.Iterator; import java.util.NoSuchElementException; import java.util.regex.Pattern; -/** - * A simple utility method to convert a {@code Iterator} to an {@code Iterator}, where each - * String in the original iterator is a Path - * - * @author Alex Black - */ @AllArgsConstructor public class UriFromPathIterator implements Iterator { final Pattern schemaPattern = Pattern.compile("^.*?:/.*"); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeDeserializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeDeserializer.java index 4cf63763a..937ef8955 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeDeserializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeDeserializer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.jackson; @@ -27,11 +31,6 @@ import java.io.IOException; import java.util.HashMap; import java.util.Map; -/** - * JsonDeserializer for deserializing Jodatime {@link DateTimeFieldType} instances - * - * @author Alex Black - */ public class DateTimeFieldTypeDeserializer extends JsonDeserializer { //Yes this is ugly - couldn't find a better way :/ diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeSerializer.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeSerializer.java index 4c8d2215c..4c1e3a96b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeSerializer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/jackson/DateTimeFieldTypeSerializer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.jackson; @@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.databind.SerializerProvider; import java.io.IOException; -/** - * JsonSerializer for serializing Jodatime {@link DateTimeFieldType} instances - * - * @author Alex Black - */ public class DateTimeFieldTypeSerializer extends JsonSerializer { @Override public void serialize(DateTimeFieldType dateTimeFieldType, JsonGenerator jsonGenerator, diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataInputWrapperStream.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataInputWrapperStream.java index b5ee6c4d3..88e794047 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataInputWrapperStream.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataInputWrapperStream.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.ndarray; @@ -22,11 +26,6 @@ import java.io.DataInput; import java.io.IOException; import java.io.InputStream; -/** - * A simple class to wrap a {@link DataInput} instance in an {@link InputStream} - * - * @author Alex Black - */ @AllArgsConstructor public class DataInputWrapperStream extends InputStream { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataOutputWrapperStream.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataOutputWrapperStream.java index 88cdda6bf..39712224e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataOutputWrapperStream.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/DataOutputWrapperStream.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.ndarray; @@ -22,11 +26,6 @@ import java.io.DataOutput; import java.io.IOException; import java.io.OutputStream; -/** - * A simple class to wrap a {@link DataOutput} instance in an {@link OutputStream} - * - * @author Alex Black - */ @AllArgsConstructor public class DataOutputWrapperStream extends OutputStream { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/RecordConverter.java b/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/RecordConverter.java index 92a1f737b..67c810526 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/RecordConverter.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/util/ndarray/RecordConverter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util.ndarray; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/vector/Vectorizer.java b/datavec/datavec-api/src/main/java/org/datavec/api/vector/Vectorizer.java index 7e9a9239a..3c1529fa8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/vector/Vectorizer.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/vector/Vectorizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.vector; @@ -20,12 +24,6 @@ import org.datavec.api.conf.Configuration; import org.datavec.api.records.Record; import org.datavec.api.records.reader.RecordReader; -/** - * Vectorizer of a particular type. - * Meant for converting individual records to vectors - * - * @author Adam Gibson - */ public interface Vectorizer { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/ArrayWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/ArrayWritable.java index 346c6ffdd..59e8289ee 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/ArrayWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/ArrayWritable.java @@ -1,26 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; -/** - * A Writable to basically wrap an array of sorts. - * - * @author saudet - */ public abstract class ArrayWritable implements Writable { public abstract long length(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/BooleanWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/BooleanWritable.java index 946b6866b..f2abcbae9 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/BooleanWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/BooleanWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -25,9 +29,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** - * A WritableComparable for booleans. - */ public class BooleanWritable implements WritableComparable { private boolean value; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/ByteWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/ByteWritable.java index ae5e3a567..d594a48f7 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/ByteWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/ByteWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -26,7 +30,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** A WritableComparable for a single byte. */ public class ByteWritable implements WritableComparable { private byte value; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/BytesWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/BytesWritable.java index 3c380080c..67cf12d53 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/BytesWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/BytesWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -29,23 +33,6 @@ import java.io.IOException; import java.nio.ByteBuffer; import java.util.Arrays; -/** - * {@link Writable} type for - * a byte array. - * - * Note that this {@link Writable} - * should be considered *raw* and *unsafe* - * for typical use. - * This writable's primary use case is for low level flexibility - * and interop for accessing raw content when there are no alternatives. - * - * If you want *safe* indexing that you are familiar with, please - * consider using nd4j's {@link DataBuffer} object - * and the associated {@link #asNd4jBuffer(DataType, int)} - * method below. - * - * @author Adam Gibson - */ @NoArgsConstructor public class BytesWritable extends ArrayWritable { @Getter diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/DoubleWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/DoubleWritable.java index 39f41c076..62e63025c 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/DoubleWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/DoubleWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/FloatWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/FloatWritable.java index f0ab62bef..5e663f745 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/FloatWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/FloatWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -26,7 +30,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** A WritableComparable for floats. */ public class FloatWritable implements WritableComparable { private float value; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/IntWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/IntWritable.java index 1c127e0f8..22d8748a0 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/IntWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/IntWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -26,7 +30,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** A WritableComparable for ints. */ public class IntWritable implements WritableComparable { private int value; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/LongWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/LongWritable.java index 4a767a183..228d089a4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/LongWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/LongWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -26,7 +30,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** A WritableComparable for longs. */ public class LongWritable implements WritableComparable { private long value; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/NDArrayWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/NDArrayWritable.java index 499e77895..383ac3aac 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/NDArrayWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/NDArrayWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -29,11 +33,6 @@ import org.nd4j.common.util.MathUtils; import java.io.*; import java.util.Arrays; -/** - * A Writable that basically wraps an INDArray. - * - * @author saudet - */ public class NDArrayWritable extends ArrayWritable implements WritableComparable { public static final byte NDARRAY_SER_VERSION_HEADER_NULL = 0; public static final byte NDARRAY_SER_VERSION_HEADER = 1; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/NullWritable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/NullWritable.java index 6cdfe6e08..97ecb4ab4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/NullWritable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/NullWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -22,11 +26,6 @@ import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -/** - * NullWritable. Typically only used in very limited circumstances, to signify that a value is missing. - * Attempts to convert the NullWritable to some other value (using toInt(), toDouble() etc) will result in an - * UnsupportedOperationException being thrown - */ public class NullWritable implements WritableComparable { public static final NullWritable INSTANCE = new NullWritable(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/Text.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/Text.java index a54326f94..0d64b2142 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/Text.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/Text.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -33,15 +37,6 @@ import java.text.StringCharacterIterator; -/** This class stores text using standard UTF8 encoding. It provides methods - * to serialize, deserialize, and compare texts at byte level. The type of - * length is integer and is serialized using zero-compressed format.

In - * addition, it provides methods for string traversal without converting the - * byte array to a string.

Also includes utilities for - * serializing/deserialing a string, coding/decoding a string, checking if a - * byte array contains valid UTF8 code, calculating the length of an encoded - * string. - */ public class Text extends BinaryComparable implements WritableComparable { private static ThreadLocal ENCODER_FACTORY = new ThreadLocal() { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/UnsafeWritableInjector.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/UnsafeWritableInjector.java index 4e8712a24..04ee44bcb 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/UnsafeWritableInjector.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/UnsafeWritableInjector.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; import org.nd4j.linalg.api.ndarray.INDArray; -/** - * Created by huitseeker on 5/13/17. - */ public class UnsafeWritableInjector { public static Writable inject(T x) { if (x == null) diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/Writable.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/Writable.java index 5085dd3f2..49218a90e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/Writable.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/Writable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -23,42 +27,6 @@ import java.io.DataOutput; import java.io.IOException; import java.io.Serializable; -/** - * A serializable object which implements a simple, efficient, serialization - * protocol, based on {@link DataInput} and {@link DataOutput}. - * - *

Any key or value type in the Hadoop Map-Reduce - * framework implements this interface.

- * - *

Implementations typically implement a static read(DataInput) - * method which constructs a new instance, calls {@link #readFields(DataInput)} - * and returns the instance.

- * - *

Example:

- * 

- *     public class MyWritable implements Writable {
- *       // Some data     
- *       private int counter;
- *       private long timestamp;
- *
- *       public void write(DataOutput out) throws IOException {
- *         out.writeInt(counter);
- *         out.writeLong(timestamp);
- *       }
- *
- *       public void readFields(DataInput in) throws IOException {
- *         counter = in.readInt();
- *         timestamp = in.readLong();
- *       }
- *
- *       public static MyWritable read(DataInput in) throws IOException {
- *         MyWritable w = new MyWritable();
- *         w.readFields(in);
- *         return w;
- *       }
- *     }
- *

- */ @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface Writable extends Serializable { /** diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableFactory.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableFactory.java index ff1649d13..36cf7f9b8 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableFactory.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -25,11 +29,6 @@ import java.lang.reflect.Constructor; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; -/** - * Factory class for creating and saving writable objects to/from DataInput and DataOutput - * - * @author Alex Black - */ public class WritableFactory { private static WritableFactory INSTANCE = new WritableFactory(); diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableType.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableType.java index e10265179..3de22f696 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableType.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/WritableType.java @@ -1,24 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; -/** - * Created by Alex on 30/05/2017. - */ public enum WritableType { Boolean, Byte, Double, Float, Int, Long, Null, Text, NDArray, Image,Arrow,Bytes; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractTimeSeriesWritableRecordBatch.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractTimeSeriesWritableRecordBatch.java index 626077556..25cc863f4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractTimeSeriesWritableRecordBatch.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractTimeSeriesWritableRecordBatch.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.batch; @@ -23,12 +27,6 @@ import java.util.Iterator; import java.util.List; import java.util.ListIterator; -/** - * Simple base class for List> - * implementations - * - * @author Alex Black - */ public abstract class AbstractTimeSeriesWritableRecordBatch implements List>> { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractWritableRecordBatch.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractWritableRecordBatch.java index 5f6edf262..b2d4b7621 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractWritableRecordBatch.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/AbstractWritableRecordBatch.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.batch; @@ -23,12 +27,6 @@ import java.util.Iterator; import java.util.List; import java.util.ListIterator; -/** - * Simple base class for List> - * implementations - * - * @author Alex Black - */ public abstract class AbstractWritableRecordBatch implements List> { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/NDArrayRecordBatch.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/NDArrayRecordBatch.java index e9b78e390..d1f092d0e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/NDArrayRecordBatch.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/batch/NDArrayRecordBatch.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.batch; @@ -29,16 +33,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * A {@code List>} record batch, backed by a {@code List}
- * Each INDArray in the underlying list is assumed to represent a minibatch of examples, with dimension 0 indexing - * the example. - * On calls to methods like .get(int) the appropriate view is extracted from the underlying arrays and returned - * as an NDArrayWritable - * - * - * @author Alex Black - */ @Data public class NDArrayRecordBatch extends AbstractWritableRecordBatch { diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/Comparators.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/Comparators.java index eb9b5ed8b..03b34ce60 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/Comparators.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/Comparators.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/DoubleWritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/DoubleWritableComparator.java index 0628bf616..c678b7142 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/DoubleWritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/DoubleWritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/FloatWritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/FloatWritableComparator.java index 816e0c037..6b2eaee97 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/FloatWritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/FloatWritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/IntWritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/IntWritableComparator.java index fa22d6e22..5332507c4 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/IntWritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/IntWritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/LongWritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/LongWritableComparator.java index a4de0a927..9f733337f 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/LongWritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/LongWritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/ReverseComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/ReverseComparator.java index 0830e87d6..e21f8227b 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/ReverseComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/ReverseComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/TextWritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/TextWritableComparator.java index 8bfc9923f..8fe66e67e 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/TextWritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/TextWritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/WritableComparator.java b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/WritableComparator.java index b8e540f61..ba625411a 100644 --- a/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/WritableComparator.java +++ b/datavec/datavec-api/src/main/java/org/datavec/api/writable/comparator/WritableComparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable.comparator; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/AssertTestsExtendBaseClass.java b/datavec/datavec-api/src/test/java/org/datavec/api/AssertTestsExtendBaseClass.java index 1a152de97..2ce6ea207 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api; import lombok.extern.slf4j.Slf4j; @@ -24,14 +28,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVLineSequenceRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVLineSequenceRecordReaderTest.java index 6ef636a1f..1c19608ac 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVLineSequenceRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVLineSequenceRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVMultiSequenceRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVMultiSequenceRecordReaderTest.java index 157699f35..f78676627 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVMultiSequenceRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVMultiSequenceRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVNLinesSequenceRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVNLinesSequenceRecordReaderTest.java index dee9d3876..80c75c830 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVNLinesSequenceRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVNLinesSequenceRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -32,9 +36,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 19/09/2016. - */ public class CSVNLinesSequenceRecordReaderTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVRecordReaderTest.java index 6d070296e..85f20f3ad 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVSequenceRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVSequenceRecordReaderTest.java index a25dff0d3..70a774165 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVSequenceRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVSequenceRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVVariableSlidingWindowRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVVariableSlidingWindowRecordReaderTest.java index bfe41e5bc..cab012faf 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVVariableSlidingWindowRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/CSVVariableSlidingWindowRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -30,11 +34,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Tests for variable sliding window csv reader. - * - * @author Justin Long (crockpotveggies) - */ public class CSVVariableSlidingWindowRecordReaderTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileBatchRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileBatchRecordReaderTest.java index b8b32a3de..036e23475 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileBatchRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileBatchRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileRecordReaderTest.java index 303eb1ff5..910fc31b2 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/FileRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -34,9 +38,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertFalse; -/** - * Created by nyghtowl on 11/14/15. - */ public class FileRecordReaderTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonLineRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonLineRecordReaderTest.java index 642da6d69..9d5b76688 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonLineRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonLineRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonRecordReaderTest.java index b6b32edc7..5b91c4523 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/JacksonRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -46,9 +50,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertFalse; -/** - * Created by Alex on 11/04/2016. - */ public class JacksonRecordReaderTest extends BaseND4JTest { @Rule diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LibSvmRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LibSvmRecordReaderTest.java index f24e7b297..e7fe410c8 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LibSvmRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LibSvmRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -33,18 +37,6 @@ import java.util.*; import static org.datavec.api.records.reader.impl.misc.LibSvmRecordReader.*; import static org.junit.Assert.assertEquals; -/** - * Unit tests for LibSvmRecordReader. Replaces reader tests in - * LibSvmTest. - * - * NOTE: this is just a clone of SVMLightRecordReaderTest. - * - * @see LibSvmRecordReader - * @see LibSvmTest - * @see SVMRecordWriterTest - * - * @author dave@skymind.io - */ public class LibSvmRecordReaderTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LineReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LineReaderTest.java index 2864d0ca1..18dc8b0fd 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LineReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/LineReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -44,9 +48,6 @@ import java.util.zip.GZIPOutputStream; import static org.junit.Assert.assertEquals; -/** - * Created by agibsonccc on 11/17/14. - */ public class LineReaderTest extends BaseND4JTest { @Rule diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/RegexRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/RegexRecordReaderTest.java index 08b494d9f..97e1a854a 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/RegexRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/RegexRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -43,9 +47,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertFalse; -/** - * Created by Alex on 12/04/2016. - */ public class RegexRecordReaderTest extends BaseND4JTest { @Rule diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/SVMLightRecordReaderTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/SVMLightRecordReaderTest.java index 07b507fe0..35b2d6a46 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/SVMLightRecordReaderTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/SVMLightRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -33,16 +37,6 @@ import java.util.*; import static org.datavec.api.records.reader.impl.misc.SVMLightRecordReader.*; import static org.junit.Assert.assertEquals; -/** - * Unit tests for VMLightRecordReader. Replaces reader tests in - * SVMRecordWriterTest. - * - * @see SVMLightRecordReader - * @see LibSvmTest - * @see SVMRecordWriterTest - * - * @author dave@skymind.io - */ public class SVMLightRecordReaderTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestCollectionRecordReaders.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestCollectionRecordReaders.java index 2d5b35a63..3165c7df3 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestCollectionRecordReaders.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestCollectionRecordReaders.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -31,9 +35,6 @@ import java.util.List; import static org.junit.Assert.*; -/** - * Created by Alex on 21/05/2016. - */ public class TestCollectionRecordReaders extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestConcatenatingRecordReader.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestConcatenatingRecordReader.java index 0b64d53f3..f99a36325 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestConcatenatingRecordReader.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestConcatenatingRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestSerialization.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestSerialization.java index 030c1f139..2c40fcad0 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestSerialization.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/TestSerialization.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -45,11 +49,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Record readers need to be serializable for spark. - * Note however that not all are used/usable with spark (such as Collection[Sequence]RecordReader - * and the rest are generally used without being initialized on a particular dataset - */ public class TestSerialization extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReaderTests.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReaderTests.java index 87c466fec..7d00ef96b 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReaderTests.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/reader/impl/transform/TransformProcessRecordReaderTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl.transform; @@ -37,9 +41,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by agibsonccc on 3/21/17. - */ public class TransformProcessRecordReaderTests extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/CSVRecordWriterTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/CSVRecordWriterTest.java index 887f4c109..5890722b3 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/CSVRecordWriterTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/CSVRecordWriterTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl; @@ -32,9 +36,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * @author raver119@gmail.com - */ public class CSVRecordWriterTest extends BaseND4JTest { @Before diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/LibSvmRecordWriterTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/LibSvmRecordWriterTest.java index 8e9240bef..0e80e10b7 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/LibSvmRecordWriterTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/LibSvmRecordWriterTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl; @@ -41,15 +45,6 @@ import java.util.regex.Pattern; import static org.junit.Assert.assertEquals; -/** - * Unit tests for LibSvmRecordWriter. Replaces writer tests in - * SVMRecordWriterTest. - * - * @see LibSvmRecordReader - * @see org.datavec.api.records.reader.impl.LibSvmTest - * - * @author dave@skymind.io - */ public class LibSvmRecordWriterTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/SVMLightRecordWriterTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/SVMLightRecordWriterTest.java index a5ca0f0ba..8efb2a539 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/SVMLightRecordWriterTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/records/writer/impl/SVMLightRecordWriterTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.writer.impl; @@ -38,15 +42,6 @@ import java.util.regex.Pattern; import static org.junit.Assert.assertEquals; -/** - * Unit tests for SVMLightRecordWriter. Replaces writer tests in - * SVMRecordWriterTest. - * - * @see SVMLightRecordReader - * @see org.datavec.api.records.reader.impl.SVMRecordWriterTest - * - * @author dave@skymind.io - */ public class SVMLightRecordWriterTest extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/split/InputSplitTests.java b/datavec/datavec-api/src/test/java/org/datavec/api/split/InputSplitTests.java index 1e6a25cbc..0a5c7588f 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/split/InputSplitTests.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/split/InputSplitTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/split/NumberedFileInputSplitTests.java b/datavec/datavec-api/src/test/java/org/datavec/api/split/NumberedFileInputSplitTests.java index 229eec8cd..34bb06eaa 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/split/NumberedFileInputSplitTests.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/split/NumberedFileInputSplitTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/split/TestStreamInputSplit.java b/datavec/datavec-api/src/test/java/org/datavec/api/split/TestStreamInputSplit.java index 573824ae1..45fe5d77a 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/split/TestStreamInputSplit.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/split/TestStreamInputSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/split/TransformSplitTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/split/TransformSplitTest.java index b37214ef1..79c799fd5 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/split/TransformSplitTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/split/TransformSplitTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/split/parittion/PartitionerTests.java b/datavec/datavec-api/src/test/java/org/datavec/api/split/parittion/PartitionerTests.java index e57a9a072..0627a5647 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/split/parittion/PartitionerTests.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/split/parittion/PartitionerTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.split.parittion; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/TestTransformProcess.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/TestTransformProcess.java index 514e4235b..609ae3dc8 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/TestTransformProcess.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/TestTransformProcess.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/condition/TestConditions.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/condition/TestConditions.java index 5afae3d39..3cb62a4a1 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/condition/TestConditions.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/condition/TestConditions.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.condition; @@ -31,9 +35,6 @@ import java.util.*; import static org.junit.Assert.assertFalse; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 24/03/2016. - */ public class TestConditions extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/filter/TestFilters.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/filter/TestFilters.java index e321f9afe..5ad6d6813 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/filter/TestFilters.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/filter/TestFilters.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.filter; @@ -35,9 +39,6 @@ import static java.util.Arrays.asList; import static org.junit.Assert.assertFalse; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 21/03/2016. - */ public class TestFilters extends BaseND4JTest { diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/join/TestJoin.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/join/TestJoin.java index 14ada81b2..044a084b6 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/join/TestJoin.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/join/TestJoin.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.join; @@ -31,9 +35,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 18/04/2016. - */ public class TestJoin extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpArchTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpArchTest.java index d92d0ccd6..e67722f78 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpArchTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpArchTest.java @@ -1,3 +1,23 @@ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ + package org.datavec.api.transform.ops; import com.tngtech.archunit.core.importer.ImportOption; @@ -12,9 +32,6 @@ import java.io.Serializable; import static com.tngtech.archunit.lang.syntax.ArchRuleDefinition.classes; -/** - * Created by dariuszzbyrad on 7/31/2020. - */ @RunWith(ArchUnitRunner.class) @AnalyzeClasses(packages = "org.datavec.api.transform.ops", importOptions = {ImportOption.DoNotIncludeTests.class}) public class AggregableMultiOpArchTest extends BaseND4JTest { diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpTest.java index 754228cc0..cb4fdeb04 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregableMultiOpTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -24,9 +28,6 @@ import java.util.*; import static org.junit.Assert.assertTrue; -/** - * Created by huitseeker on 5/14/17. - */ public class AggregableMultiOpTest extends BaseND4JTest { private List intList = new ArrayList<>(Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9)); diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregatorImplsTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregatorImplsTest.java index e7afeefdf..47da27bdc 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregatorImplsTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/AggregatorImplsTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -28,9 +32,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by huitseeker on 5/14/17. - */ public class AggregatorImplsTest extends BaseND4JTest { private List intList = new ArrayList<>(Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9)); diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/DispatchOpTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/DispatchOpTest.java index 667bd77f0..098c5635a 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/DispatchOpTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ops/DispatchOpTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ops; @@ -27,9 +31,6 @@ import java.util.List; import static org.junit.Assert.assertTrue; -/** - * Created by huitseeker on 5/14/17. - */ public class DispatchOpTest extends BaseND4JTest { private List intList = new ArrayList<>(Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9)); diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestMultiOpReduce.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestMultiOpReduce.java index f75118174..fb24eb4dc 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestMultiOpReduce.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestMultiOpReduce.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; @@ -36,9 +40,6 @@ import java.util.*; import static org.junit.Assert.assertEquals; import static org.junit.Assert.fail; -/** - * Created by Alex on 21/03/2016. - */ public class TestMultiOpReduce extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestReductions.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestReductions.java index 89466e4b5..65b1bbf0d 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestReductions.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/reduce/TestReductions.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestJsonYaml.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestJsonYaml.java index 0daaaf0b3..72c98d266 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestJsonYaml.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestJsonYaml.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.schema; @@ -23,9 +27,6 @@ import org.nd4j.common.tests.BaseND4JTest; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 18/07/2016. - */ public class TestJsonYaml extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestSchemaMethods.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestSchemaMethods.java index d4e751471..d2a7efbe3 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestSchemaMethods.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/schema/TestSchemaMethods.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.schema; @@ -22,9 +26,6 @@ import org.nd4j.common.tests.BaseND4JTest; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 04/09/2016. - */ public class TestSchemaMethods extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestReduceSequenceByWindowFunction.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestReduceSequenceByWindowFunction.java index 47b595605..7b57ba4d7 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestReduceSequenceByWindowFunction.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestReduceSequenceByWindowFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -39,9 +43,6 @@ import java.util.concurrent.TimeUnit; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 16/04/2016. - */ public class TestReduceSequenceByWindowFunction extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestSequenceSplit.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestSequenceSplit.java index 1245dbc49..1d219214f 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestSequenceSplit.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestSequenceSplit.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -33,9 +37,6 @@ import java.util.concurrent.TimeUnit; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 19/04/2016. - */ public class TestSequenceSplit extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestWindowFunctions.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestWindowFunctions.java index 7d5f4613c..6e0ff65ee 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestWindowFunctions.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/sequence/TestWindowFunctions.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.sequence; @@ -35,9 +39,6 @@ import java.util.concurrent.TimeUnit; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 16/04/2016. - */ public class TestWindowFunctions extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestCustomTransformJsonYaml.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestCustomTransformJsonYaml.java index 5ae9181e4..32100d93f 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestCustomTransformJsonYaml.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestCustomTransformJsonYaml.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; @@ -27,9 +31,6 @@ import org.nd4j.common.tests.BaseND4JTest; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 11/01/2017. - */ public class TestCustomTransformJsonYaml extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestYamlJsonSerde.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestYamlJsonSerde.java index dd000429c..1076126c1 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestYamlJsonSerde.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/TestYamlJsonSerde.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde; @@ -68,9 +72,6 @@ import java.util.concurrent.TimeUnit; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 20/07/2016. - */ public class TestYamlJsonSerde extends BaseND4JTest { public static YamlSerializer y = new YamlSerializer(); diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomCondition.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomCondition.java index c1b37bad4..18b68e119 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomCondition.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomCondition.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde.testClasses; @@ -25,9 +29,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Created by Alex on 11/01/2017. - */ @AllArgsConstructor @NoArgsConstructor @Data diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomFilter.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomFilter.java index 37c9c460d..afe1a9980 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomFilter.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomFilter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde.testClasses; @@ -25,9 +29,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Created by Alex on 11/01/2017. - */ @AllArgsConstructor @NoArgsConstructor @Data diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomTransform.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomTransform.java index b38e4f070..dba9b30c4 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomTransform.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/serde/testClasses/CustomTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.serde.testClasses; @@ -22,9 +26,6 @@ import org.datavec.api.transform.transform.BaseColumnTransform; import org.datavec.api.writable.Writable; import org.nd4j.shade.jackson.annotation.JsonProperty; -/** - * Created by Alex on 11/01/2017. - */ public class CustomTransform extends BaseColumnTransform { private final double someArg; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/stringreduce/TestReduce.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/stringreduce/TestReduce.java index fc5d313f3..30017e62a 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/stringreduce/TestReduce.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/stringreduce/TestReduce.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.stringreduce; @@ -27,9 +31,6 @@ import java.util.*; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 21/03/2016. - */ public class TestReduce extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/RegressionTestJson.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/RegressionTestJson.java index da8f8656f..e32fd5436 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/RegressionTestJson.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/RegressionTestJson.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestJsonYaml.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestJsonYaml.java index 2264725ff..dec17ac40 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestJsonYaml.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestJsonYaml.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; @@ -54,9 +58,6 @@ import java.util.concurrent.TimeUnit; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 18/07/2016. - */ public class TestJsonYaml extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestTransforms.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestTransforms.java index c7e7bc467..4a2174c0c 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestTransforms.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/TestTransforms.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; @@ -70,9 +74,6 @@ import java.util.concurrent.TimeUnit; import static junit.framework.TestCase.assertEquals; import static org.junit.Assert.*; -/** - * Created by Alex on 21/03/2016. - */ public class TestTransforms extends BaseND4JTest { public static Schema getSchema(ColumnType type, String... colNames) { diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestNDArrayWritableTransforms.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestNDArrayWritableTransforms.java index 7d0743908..c05b5cabf 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestNDArrayWritableTransforms.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestNDArrayWritableTransforms.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.ndarray; @@ -37,9 +41,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 02/06/2017. - */ public class TestNDArrayWritableTransforms extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestYamlJsonSerde.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestYamlJsonSerde.java index 4ff4b6c40..019d03ab8 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestYamlJsonSerde.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/ndarray/TestYamlJsonSerde.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.ndarray; @@ -34,9 +38,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 20/07/2016. - */ public class TestYamlJsonSerde extends BaseND4JTest { public static YamlSerializer y = new YamlSerializer(); diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/parse/ParseDoubleTransformTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/parse/ParseDoubleTransformTest.java index 533b37aea..14fbf7ca8 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/parse/ParseDoubleTransformTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/transform/parse/ParseDoubleTransformTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.parse; @@ -28,9 +32,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by agibsonccc on 10/22/16. - */ public class ParseDoubleTransformTest extends BaseND4JTest { @Test public void testDoubleTransform() { diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ui/TestUI.java b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ui/TestUI.java index 31de9d3df..8761f183f 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/transform/ui/TestUI.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/transform/ui/TestUI.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.ui; @@ -44,9 +48,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 25/03/2016. - */ public class TestUI extends BaseND4JTest { @Rule diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/util/ClassPathResourceTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/util/ClassPathResourceTest.java index 037eb52c0..48f214cb2 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/util/ClassPathResourceTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/util/ClassPathResourceTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util; @@ -31,9 +35,6 @@ import static org.hamcrest.MatcherAssert.assertThat; import static org.hamcrest.core.AnyOf.anyOf; import static org.hamcrest.core.IsEqual.equalTo; -/** - * @author raver119@gmail.com - */ public class ClassPathResourceTest extends BaseND4JTest { private boolean isWindows = false; //File sizes are reported slightly different on Linux vs. Windows diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/util/TimeSeriesUtilsTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/util/TimeSeriesUtilsTest.java index 389c8f311..48a815a63 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/util/TimeSeriesUtilsTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/util/TimeSeriesUtilsTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.util; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/writable/RecordConverterTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/writable/RecordConverterTest.java index b03c289c5..bcabc2910 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/writable/RecordConverterTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/writable/RecordConverterTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/writable/TestNDArrayWritableAndSerialization.java b/datavec/datavec-api/src/test/java/org/datavec/api/writable/TestNDArrayWritableAndSerialization.java index 635126ab2..11db62c57 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/writable/TestNDArrayWritableAndSerialization.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/writable/TestNDArrayWritableAndSerialization.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; @@ -26,9 +30,6 @@ import java.io.*; import static org.junit.Assert.*; -/** - * Created by Alex on 02/06/2017. - */ public class TestNDArrayWritableAndSerialization extends BaseND4JTest { @Test diff --git a/datavec/datavec-api/src/test/java/org/datavec/api/writable/WritableTest.java b/datavec/datavec-api/src/test/java/org/datavec/api/writable/WritableTest.java index b9ef96991..42d4d4533 100644 --- a/datavec/datavec-api/src/test/java/org/datavec/api/writable/WritableTest.java +++ b/datavec/datavec-api/src/test/java/org/datavec/api/writable/WritableTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.writable; diff --git a/datavec/datavec-arrow/pom.xml b/datavec/datavec-arrow/pom.xml index eb61221c8..0d30f07a9 100644 --- a/datavec/datavec-arrow/pom.xml +++ b/datavec/datavec-arrow/pom.xml @@ -1,30 +1,37 @@ - + + + + - - - datavec-parent - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-parent + 1.0.0-SNAPSHOT + + datavec-arrow - jar datavec-arrow @@ -49,12 +56,6 @@ arrow-format ${arrow.version} - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - diff --git a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/ArrowConverter.java b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/ArrowConverter.java index b3980e78a..0bf5637a8 100644 --- a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/ArrowConverter.java +++ b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/ArrowConverter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow; @@ -60,13 +64,6 @@ import java.util.*; import static java.nio.channels.Channels.newChannel; -/** - * Interop between datavec primitives and arrow. - * This allows for datavec schemas and primitives - * to be converted to the arrow format. - * - * @author Adam Gibson - */ @Slf4j public class ArrowConverter { diff --git a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecord.java b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecord.java index 94d8777e7..2d9f5e091 100644 --- a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecord.java +++ b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow.recordreader; @@ -25,13 +29,6 @@ import org.datavec.api.writable.Writable; import java.net.URI; import java.util.List; -/** - * An {@link ArrowRecord} is a {@link Record} - * wrapper around {@link ArrowWritableRecordBatch} - * containing an index to the individual row. - * - * @author Adam Gibson - */ @AllArgsConstructor public class ArrowRecord implements Record { private ArrowWritableRecordBatch arrowWritableRecordBatch; diff --git a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordReader.java b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordReader.java index 6b18c4afd..e559da60b 100644 --- a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordReader.java +++ b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow.recordreader; @@ -39,18 +43,6 @@ import java.util.*; import static org.datavec.arrow.ArrowConverter.readFromBytes; -/** - * Implements a record reader using arrow. - * The {@link ArrowRecordReader} minimizes memory footprint by - * using an {@link ArrowWritableRecordBatch} as the current in memory - * batch during iteration rather than the normal of objects - * you would find with the traditional record readers with {@link List>} - * - * - * - * @author Adam Gibson - * - */ @Slf4j public class ArrowRecordReader implements RecordReader { diff --git a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordWriter.java b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordWriter.java index 2c07d3336..32472e582 100644 --- a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordWriter.java +++ b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow.recordreader; @@ -29,11 +33,6 @@ import java.io.IOException; import java.util.Arrays; import java.util.List; -/** - * Output arrow records to an output stream. - * - * @author Adam Gibson - */ public class ArrowRecordWriter implements RecordWriter { private Configuration configuration; diff --git a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordBatch.java b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordBatch.java index e07533248..3d3eab195 100644 --- a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordBatch.java +++ b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordBatch.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow.recordreader; diff --git a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatch.java b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatch.java index dd5a40821..9bc926858 100644 --- a/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatch.java +++ b/datavec/datavec-arrow/src/main/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatch.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow.recordreader; diff --git a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/ArrowConverterTest.java b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/ArrowConverterTest.java index 6a6099a06..317cc0cce 100644 --- a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/ArrowConverterTest.java +++ b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/ArrowConverterTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow; diff --git a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/AssertTestsExtendBaseClass.java b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/AssertTestsExtendBaseClass.java index c8868e271..671e7964e 100644 --- a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.AbstractAssertTestsClass; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/RecordMapperTest.java b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/RecordMapperTest.java index c5012f146..42abee0b3 100644 --- a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/RecordMapperTest.java +++ b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/RecordMapperTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow; diff --git a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatchTests.java b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatchTests.java index 5100b6826..bb14ce351 100644 --- a/datavec/datavec-arrow/src/test/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatchTests.java +++ b/datavec/datavec-arrow/src/test/java/org/datavec/arrow/recordreader/ArrowWritableRecordTimeSeriesBatchTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.arrow.recordreader; diff --git a/datavec/datavec-data/datavec-data-audio/pom.xml b/datavec/datavec-data/datavec-data-audio/pom.xml index 0c67ae396..d667b13ac 100644 --- a/datavec/datavec-data/datavec-data-audio/pom.xml +++ b/datavec/datavec-data/datavec-data-audio/pom.xml @@ -1,44 +1,45 @@ - + + + + - - - datavec-data - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-data + 1.0.0-SNAPSHOT + + datavec-data-audio - jar datavec-data-audio - http://maven.apache.org - - - UTF-8 - org.datavec datavec-api - ${project.version} - org.bytedeco javacpp @@ -49,29 +50,20 @@ javacv ${javacv.version} - com.github.wendykierp JTransforms ${jtransforms.version} with-dependencies - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - - - + + diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/Wave.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/Wave.java index db75a546f..7071dfc70 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/Wave.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/Wave.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio; @@ -28,11 +32,6 @@ import java.io.IOException; import java.io.InputStream; import java.io.Serializable; -/** - * Read WAVE headers and data from wave input stream - * - * @author Jacquet Wong - */ public class Wave implements Serializable { private static final long serialVersionUID = 1L; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveFileManager.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveFileManager.java index 877447787..bb8d1bcf9 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveFileManager.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveFileManager.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveHeader.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveHeader.java index 3f7af014a..fc2d09e88 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveHeader.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/WaveHeader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio; @@ -21,12 +25,6 @@ import lombok.extern.slf4j.Slf4j; import java.io.IOException; import java.io.InputStream; -/** - * WAV File Specification - * https://ccrma.stanford.edu/courses/422/projects/WaveFormat/ - * - * @author Jacquet Wong - */ @Slf4j public class WaveHeader { diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/FastFourierTransform.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/FastFourierTransform.java index a4f026b4e..bc0bf3279 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/FastFourierTransform.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/FastFourierTransform.java @@ -1,28 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.dsp; import org.jtransforms.fft.DoubleFFT_1D; -/** - * FFT object, transform amplitudes to frequency intensities - * - * @author Jacquet Wong - */ public class FastFourierTransform { /** diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/LinearInterpolation.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/LinearInterpolation.java index bb4c3f789..1595c8974 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/LinearInterpolation.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/LinearInterpolation.java @@ -1,26 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.dsp; -/** - * Construct new data points within the range of a discrete set of known data points by linear equation - * - * @author Jacquet Wong - */ public class LinearInterpolation { public LinearInterpolation() { diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/Resampler.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/Resampler.java index e0d79215f..c50e9a385 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/Resampler.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/Resampler.java @@ -1,27 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.dsp; -/** - * Resample signal data (base on bytes) - * - * @author jacquet - * - */ public class Resampler { public Resampler() {} diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/WindowFunction.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/WindowFunction.java index c0d7b6253..b3783df81 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/WindowFunction.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/WindowFunction.java @@ -1,27 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.dsp; -/** - * Window functions generator - * - * @author Jacquet Wong - * - */ public class WindowFunction { public static final int RECTANGULAR = 0; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/package-info.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/package-info.java index 269644ad8..cf19c7831 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/package-info.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/dsp/package-info.java @@ -1,24 +1,21 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -/** - * Originally derived from musicg. Importing relevant snippets for working with basic audio data. - * - * https://code.google.com/p/musicg/ - * - * +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** */ + package org.datavec.audio.dsp; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/NormalizedSampleAmplitudes.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/NormalizedSampleAmplitudes.java index 9a8eaba58..cc1e7028f 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/NormalizedSampleAmplitudes.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/NormalizedSampleAmplitudes.java @@ -1,29 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.extension; import org.datavec.audio.Wave; -/** - * Handles the wave data in amplitude-time domain. - * - * @author Jacquet Wong - */ public class NormalizedSampleAmplitudes { private Wave wave; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/Spectrogram.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/Spectrogram.java index fdc680e1d..6ca5d84f3 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/Spectrogram.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/extension/Spectrogram.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.extension; @@ -21,11 +25,6 @@ import org.datavec.audio.Wave; import org.datavec.audio.dsp.FastFourierTransform; import org.datavec.audio.dsp.WindowFunction; -/** - * Handles the wave data in frequency-time domain. - * - * @author Jacquet Wong - */ public class Spectrogram { public static final int SPECTROGRAM_DEFAULT_FFT_SAMPLE_SIZE = 1024; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintManager.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintManager.java index efa481a91..d6b150348 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintManager.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintManager.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; @@ -33,12 +37,6 @@ import java.util.Iterator; import java.util.LinkedList; import java.util.List; -/** - * Audio fingerprint manager, handle fingerprint operations - * - * @author jacquet - * - */ @Slf4j public class FingerprintManager { diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarity.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarity.java index c76756310..c98fc0a01 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarity.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarity.java @@ -1,30 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; import org.datavec.audio.properties.FingerprintProperties; -/** - * A class for fingerprint's similarity - * - * @author jacquet - * - */ public class FingerprintSimilarity { private FingerprintProperties fingerprintProperties = FingerprintProperties.getInstance(); diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarityComputer.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarityComputer.java index 222bb5e67..6fc89b834 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarityComputer.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/FingerprintSimilarityComputer.java @@ -1,30 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; import java.util.HashMap; import java.util.List; -/** - * Compute the similarity of two fingerprints - * - * @author jacquet - * - */ public class FingerprintSimilarityComputer { private FingerprintSimilarity fingerprintSimilarity; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRank.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRank.java index 3378f5c09..9fa7142ae 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRank.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRank.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankDouble.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankDouble.java index a24ba0959..f9cdb9107 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankDouble.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankDouble.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankInteger.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankInteger.java index befbcbe00..ed79ffd24 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankInteger.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/MapRankInteger.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/PairManager.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/PairManager.java index ff18c34c9..71c608c65 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/PairManager.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/PairManager.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; @@ -24,12 +28,6 @@ import java.util.HashMap; import java.util.LinkedList; import java.util.List; -/** - * Make pairs for the audio fingerprints, which a pair is used to group the same features together - * - * @author jacquet - * - */ public class PairManager { FingerprintProperties fingerprintProperties = FingerprintProperties.getInstance(); diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSort.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSort.java index aebb362d2..5ff0fe31b 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSort.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSort.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortDouble.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortDouble.java index 258cbc888..bf8939298 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortDouble.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortDouble.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortIndexPreserved.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortIndexPreserved.java index 61e391d71..9a21b74e5 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortIndexPreserved.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortIndexPreserved.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortInteger.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortInteger.java index 178553865..a89318910 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortInteger.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortInteger.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortShort.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortShort.java index 8b4324b7e..5230740d9 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortShort.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/fingerprint/QuickSortShort.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.fingerprint; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/input/WavInputFormat.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/input/WavInputFormat.java index 6b51e3c44..d78639972 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/input/WavInputFormat.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/input/WavInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.formats.input; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/output/WaveOutputFormat.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/output/WaveOutputFormat.java index be9d17bd4..986508268 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/output/WaveOutputFormat.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/formats/output/WaveOutputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.formats.output; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ArrayRankDouble.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ArrayRankDouble.java index a4fcbbc6d..eb8b537ef 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ArrayRankDouble.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ArrayRankDouble.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.processor; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/IntensityProcessor.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/IntensityProcessor.java index 083ac4765..3f49e6a58 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/IntensityProcessor.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/IntensityProcessor.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.processor; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ProcessorChain.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ProcessorChain.java index c081e309a..8a0d6a5e1 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ProcessorChain.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/ProcessorChain.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.processor; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/RobustIntensityProcessor.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/RobustIntensityProcessor.java index 1d884855c..91ba4806c 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/RobustIntensityProcessor.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/RobustIntensityProcessor.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.processor; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/TopManyPointsProcessorChain.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/TopManyPointsProcessorChain.java index e5a742b01..c190e9bd8 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/TopManyPointsProcessorChain.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/processor/TopManyPointsProcessorChain.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.processor; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/properties/FingerprintProperties.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/properties/FingerprintProperties.java index db69a0b36..0075cfa63 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/properties/FingerprintProperties.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/properties/FingerprintProperties.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.properties; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/BaseAudioRecordReader.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/BaseAudioRecordReader.java index 82c9bb1ce..4702f9d89 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/BaseAudioRecordReader.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/BaseAudioRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.recordreader; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/NativeAudioRecordReader.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/NativeAudioRecordReader.java index c2a049b9e..62278e2d4 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/NativeAudioRecordReader.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/NativeAudioRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.recordreader; diff --git a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/WavFileRecordReader.java b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/WavFileRecordReader.java index e0fb22bbb..60f764a14 100644 --- a/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/WavFileRecordReader.java +++ b/datavec/datavec-data/datavec-data-audio/src/main/java/org/datavec/audio/recordreader/WavFileRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio.recordreader; diff --git a/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AssertTestsExtendBaseClass.java b/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AssertTestsExtendBaseClass.java index 20cc1ee1f..14b8459bb 100644 --- a/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AudioReaderTest.java b/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AudioReaderTest.java index f0c02ab32..f2ee66345 100644 --- a/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AudioReaderTest.java +++ b/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/AudioReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio; diff --git a/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/TestFastFourierTransform.java b/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/TestFastFourierTransform.java index 3f5434cd8..9b35beac6 100644 --- a/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/TestFastFourierTransform.java +++ b/datavec/datavec-data/datavec-data-audio/src/test/java/org/datavec/audio/TestFastFourierTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.audio; diff --git a/datavec/datavec-data/datavec-data-codec/pom.xml b/datavec/datavec-data/datavec-data-codec/pom.xml index 58eda4820..0a57f2d90 100644 --- a/datavec/datavec-data/datavec-data-codec/pom.xml +++ b/datavec/datavec-data/datavec-data-codec/pom.xml @@ -1,33 +1,45 @@ - + + + + - - - datavec-data - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-data + 1.0.0-SNAPSHOT + + datavec-data-codec - jar datavec-data-codec + + org.datavec + datavec-api + org.datavec datavec-data-image @@ -38,27 +50,14 @@ jcodec 0.1.5 - - org.datavec - datavec-api - ${project.version} - - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - - - + + diff --git a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/format/input/CodecInputFormat.java b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/format/input/CodecInputFormat.java index 118902b70..b2ea9628f 100644 --- a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/format/input/CodecInputFormat.java +++ b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/format/input/CodecInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.codec.format.input; diff --git a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/BaseCodecRecordReader.java b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/BaseCodecRecordReader.java index e2d136474..09d660915 100644 --- a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/BaseCodecRecordReader.java +++ b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/BaseCodecRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.codec.reader; @@ -34,11 +38,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Codec record reader for parsing videos - * - * @author Adam Gibson - */ public abstract class BaseCodecRecordReader extends FileRecordReader implements SequenceRecordReader { protected int startFrame = 0; protected int numFrames = -1; diff --git a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/CodecRecordReader.java b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/CodecRecordReader.java index 9e32b9bc0..8ef4e8c68 100644 --- a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/CodecRecordReader.java +++ b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/CodecRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.codec.reader; @@ -36,23 +40,6 @@ import java.nio.ByteBuffer; import java.util.ArrayList; import java.util.List; -/** - * Codec record reader for parsing: - * H.264 ( AVC ) Main profile decoder MP3 decoder/encoder - Apple ProRes decoder and encoder AAC encoder - H264 Baseline profile encoder - Matroska ( MKV ) demuxer and muxer - MP4 ( ISO BMF, QuickTime ) demuxer/muxer and tools - MPEG 1/2 decoder ( supports interlace ) - MPEG PS/TS demuxer - Java player applet - VP8 encoder - MXF demuxer - - Credit to jcodec for the underlying parser - * - * @author Adam Gibson - */ public class CodecRecordReader extends BaseCodecRecordReader { private ImageLoader imageLoader; diff --git a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/NativeCodecRecordReader.java b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/NativeCodecRecordReader.java index e6e7844ff..16acecdc0 100644 --- a/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/NativeCodecRecordReader.java +++ b/datavec/datavec-data/datavec-data-codec/src/main/java/org/datavec/codec/reader/NativeCodecRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.codec.reader; @@ -30,11 +34,6 @@ import java.io.InputStream; import java.util.ArrayList; import java.util.List; -/** - * An implementation of the CodecRecordReader that uses JavaCV and FFmpeg. - * - * @author saudet - */ public class NativeCodecRecordReader extends BaseCodecRecordReader { private OpenCVFrameConverter.ToMat converter; diff --git a/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/AssertTestsExtendBaseClass.java b/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/AssertTestsExtendBaseClass.java index 611915bb0..17da1b32e 100644 --- a/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.codec.reader; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/CodecReaderTest.java b/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/CodecReaderTest.java index 7190efa10..fff203829 100644 --- a/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/CodecReaderTest.java +++ b/datavec/datavec-data/datavec-data-codec/src/test/java/org/datavec/codec/reader/CodecReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.codec.reader; diff --git a/datavec/datavec-data/datavec-data-image/pom.xml b/datavec/datavec-data/datavec-data-image/pom.xml index c88c89208..20f4a7d9e 100644 --- a/datavec/datavec-data/datavec-data-image/pom.xml +++ b/datavec/datavec-data/datavec-data-image/pom.xml @@ -1,27 +1,35 @@ - + + + + + 4.0.0 - - datavec-data org.datavec + datavec-data 1.0.0-SNAPSHOT - 4.0.0 datavec-data-image @@ -29,13 +37,6 @@ org.datavec datavec-api - ${project.version} - - - ch.qos.logback - logback-classic - ${logback.version} - test com.github.jai-imageio @@ -99,13 +100,6 @@ hdf5-platform ${hdf5.version}-${javacpp-presets.version} - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - @@ -115,14 +109,14 @@ maven-surefire-plugin - com.google.android:android + com.google.android:android + - test-nd4j-native diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/Image.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/Image.java index a3ced5f59..b08b730bd 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/Image.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/Image.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.data; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/ImageWritable.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/ImageWritable.java index 578aefa7a..654d6ead3 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/ImageWritable.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/data/ImageWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.data; @@ -27,15 +31,6 @@ import java.io.DataOutput; import java.io.IOException; import java.nio.Buffer; -/** - * Wraps a {@link Frame} to allow serialization within this framework. - * Frame objects can be converted back and forth easily to and from classes - * used by Android, Java 2D, OpenCV, FFmpeg, and others. - * - * @author saudet - * @see Frame - * @see FrameConverter - */ public class ImageWritable implements Writable { static { WritableFactory.getInstance().registerWritableType(WritableType.Image.typeIdx(), ImageWritable.class); diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/format/ImageInputFormat.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/format/ImageInputFormat.java index 27d6023f0..0c653b2f7 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/format/ImageInputFormat.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/format/ImageInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.format; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/AndroidNativeImageLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/AndroidNativeImageLoader.java index 8b663e77d..33bebec54 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/AndroidNativeImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/AndroidNativeImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray; import java.io.IOException; -/** - * Segregates functionality specific to Android that is not available on Java SE. - * - * @author saudet - */ public class AndroidNativeImageLoader extends NativeImageLoader { AndroidFrameConverter converter2 = new AndroidFrameConverter(); diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/BaseImageLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/BaseImageLoader.java index 95768d1b7..ca6bb86af 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/BaseImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/BaseImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -31,9 +35,6 @@ import java.net.URL; import java.util.Map; import java.util.Random; -/** - * Created by nyghtowl on 12/17/15. - */ @Slf4j public abstract class BaseImageLoader implements Serializable { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/CifarLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/CifarLoader.java index 3e2dd7f40..0a677f063 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/CifarLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/CifarLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -40,14 +44,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * CifarLoader is loader specific for the Cifar10 dataset - * - * Reference: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009. - * - * There is a special preProcessor used to normalize the dataset based on Sergey Zagoruyko example - * https://github.com/szagoruyko/cifar.torch - */ @Slf4j public class CifarLoader extends NativeImageLoader implements Serializable { public static final int NUM_TRAIN_IMAGES = 50000; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/ImageLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/ImageLoader.java index 9c2c61d57..32a270943 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/ImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/ImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -33,12 +37,6 @@ import java.awt.image.WritableRaster; import java.io.*; import java.util.Arrays; -/** - * Image loader for taking images - * and converting them to matrices - * - * @author Adam Gibson - */ public class ImageLoader extends BaseImageLoader { static { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/Java2DNativeImageLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/Java2DNativeImageLoader.java index d45a37260..f4da9a65d 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/Java2DNativeImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/Java2DNativeImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray; import java.awt.image.BufferedImage; import java.io.IOException; -/** - * Segregates functionality specific to Java 2D that is not available on Android. - * - * @author saudet - */ public class Java2DNativeImageLoader extends NativeImageLoader { Java2DFrameConverter converter2 = new Java2DFrameConverter(); diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/LFWLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/LFWLoader.java index b71c53e42..5f78f1611 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/LFWLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/LFWLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -37,18 +41,6 @@ import java.util.HashMap; import java.util.Map; import java.util.Random; -/** - * Loads LFW faces data transform. - * Customize the size of images by passing in preferred dimensions. - * - * DataSet - * 5749 different individuals - * 1680 people have two or more images in the database - * 4069 people have just a single image in the database - * available as 250 by 250 pixel JPEG images - * most images are in color, although a few are grayscale - * - */ @Slf4j public class LFWLoader extends BaseImageLoader implements Serializable { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/NativeImageLoader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/NativeImageLoader.java index ae9e2a322..cf3e4abbe 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/NativeImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/loader/NativeImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; @@ -44,11 +48,6 @@ import static org.bytedeco.opencv.global.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgcodecs.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * Uses JavaCV to load images. Allowed formats: bmp, gif, jpg, jpeg, jp2, pbm, pgm, ppm, pnm, png, tif, tiff, exr, webp - * - * @author saudet - */ public class NativeImageLoader extends BaseImageLoader { private static final int MIN_BUFFER_STEP_SIZE = 64 * 1024; private byte[] buffer = null; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistDbFile.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistDbFile.java index 262d42936..f39ea4ef6 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistDbFile.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistDbFile.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist; @@ -20,13 +24,6 @@ package org.datavec.image.mnist; import java.io.IOException; import java.io.RandomAccessFile; -/** - * MNIST database file containing entries that can represent image or label - * data. Extends the standard random access file with methods for navigating - * over the entries. The file format is basically idx with specific header - * information. This includes a magic number for determining the type of stored - * entries, count of entries. - */ public abstract class MnistDbFile extends RandomAccessFile { private int count; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistFetcher.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistFetcher.java index 5d2e6a2e1..df6cede7c 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistFetcher.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistFetcher.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistImageFile.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistImageFile.java index 12d17ec28..f13fd9ca9 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistImageFile.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistImageFile.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist; @@ -20,12 +24,6 @@ package org.datavec.image.mnist; import java.io.IOException; -/** - * - * MNIST database image file. Contains additional header information for the - * number of rows and columns per each entry. - * - */ public class MnistImageFile extends MnistDbFile { private int rows; private int cols; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistLabelFile.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistLabelFile.java index 52d182ba7..5afd2a761 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistLabelFile.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistLabelFile.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistManager.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistManager.java index f3a5ee65a..dc682d168 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistManager.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/MnistManager.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist; @@ -22,24 +26,6 @@ import java.io.FileWriter; import java.io.IOException; -/** - *

- * Utility class for working with the MNIST database. - *

- * Provides methods for traversing the images and labels data files separately, - * as well as simultaneously. - *

- * Provides also method for exporting an image by writing it as a PPM file. - *

- * Example usage: - * 

- *  MnistManager m = new MnistManager("t10k-images.idx3-ubyte", "t10k-labels.idx1-ubyte");
- *  m.setCurrent(10); //index of the image that we are interested in
- *  int[][] image = m.readImage();
- *  System.out.println("Label:" + m.readLabel());
- *  MnistManager.writeImageToPpm(image, "10.ppm");
- *
- */ public class MnistManager { private MnistImageFile images; private MnistLabelFile labels; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawMnist.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawMnist.java index 628dfc22f..4a53ac952 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawMnist.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawMnist.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist.draw; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawReconstruction.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawReconstruction.java index f18575acb..d58a279f1 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawReconstruction.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/mnist/draw/DrawReconstruction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.mnist.draw; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/BaseImageRecordReader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/BaseImageRecordReader.java index d5400ee8e..fa36f5e60 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/BaseImageRecordReader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/BaseImageRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader; @@ -49,11 +53,6 @@ import java.io.*; import java.net.URI; import java.util.*; -/** - * Base class for the image record reader - * - * @author Adam Gibson - */ @Slf4j public abstract class BaseImageRecordReader extends BaseRecordReader { protected boolean finishedInputStreamSplit; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/ImageRecordReader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/ImageRecordReader.java index f8e292c26..0d647eff1 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/ImageRecordReader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/ImageRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader; @@ -21,16 +25,6 @@ import org.datavec.api.io.labels.PathLabelGenerator; import org.datavec.api.io.labels.PathMultiLabelGenerator; import org.datavec.image.transform.ImageTransform; -/** - * Image record reader. - * Reads a local file system and parses images of a given - * height and width. - * All images are rescaled and converted to the given height, width, and number of channels. - * - * Also appends the label if specified - * (one of k encoding based on the directory structure where each subdir of the root is an indexed label) - * @author Adam Gibson - */ public class ImageRecordReader extends BaseImageRecordReader { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObject.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObject.java index 48dc45c1c..3ff791c67 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObject.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObject.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader.objdetect; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObjectLabelProvider.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObjectLabelProvider.java index 97ddaedcb..42f3255c1 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObjectLabelProvider.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ImageObjectLabelProvider.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader.objdetect; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ObjectDetectionRecordReader.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ObjectDetectionRecordReader.java index 38afd6adf..b35926de6 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ObjectDetectionRecordReader.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/ObjectDetectionRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader.objdetect; @@ -46,16 +50,6 @@ import java.util.*; import static org.nd4j.linalg.indexing.NDArrayIndex.all; import static org.nd4j.linalg.indexing.NDArrayIndex.point; -/** - * An image record reader for object detection. - *

- * Format of returned values: 4d array, with dimensions [minibatch, 4+C, h, w] (nchw) or [minibatch, h, w, 4+C] (nhwc) - * Where the image is quantized into h x w grid locations. - *

- * Note that this matches the format required for Deeplearning4j's Yolo2OutputLayer - * - * @author Alex Black - */ public class ObjectDetectionRecordReader extends BaseImageRecordReader { private final int gridW; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/SvhnLabelProvider.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/SvhnLabelProvider.java index 88ba44ac8..9f29e0b17 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/SvhnLabelProvider.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/SvhnLabelProvider.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader.objdetect.impl; @@ -35,19 +39,6 @@ import java.util.HashMap; import java.util.List; import java.util.Map; -/** - * Label provider for object detection, for use with {@link org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader}. - * This label provider reads the datasets from The Street View House Numbers (SVHN) Dataset.
- * The SVHN datasets contain 10 classes (digits) with 73257 digits for training, 26032 digits for testing, and 531131 additional.
- * http://ufldl.stanford.edu/housenumbers/
- *
- *
- * How to use:
- * 1. Download and extract SVHN dataset with {@link org.deeplearning4j.datasets.fetchers.SvhnDataFetcher}
- * 2. Set baseDirectory to (for example) "training" directory (should contain PNG images and a digitStruct.mat file)
- * - * @author saudet - */ public class SvhnLabelProvider implements ImageObjectLabelProvider { private static DataType refType = new DataType(PredType.STD_REF_OBJ()); diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/VocLabelProvider.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/VocLabelProvider.java index 03d4e4c7e..192d06fe2 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/VocLabelProvider.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/recordreader/objdetect/impl/VocLabelProvider.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader.objdetect.impl; @@ -28,21 +32,6 @@ import java.net.URI; import java.util.ArrayList; import java.util.List; -/** - * Label provider for object detection, for use with {@link org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader}. - * This label provider reads the datasets from the PASCAL Visual Object Classes - VOC2007 to VOC2012 datasets.
- * The VOC datasets contain 20 classes and (for VOC2012) 17,125 images.
- * http://host.robots.ox.ac.uk/pascal/VOC/voc2007/
- * http://host.robots.ox.ac.uk/pascal/VOC/voc2012/ - *
- *
- * How to use:
- * 1. Download and extract VOC dataset
- * 2. Set baseDirectory to (for example) VOC2012 directory (should contain JPEGImages and Annotations directories)
- * - * - * @author Alex Black - */ public class VocLabelProvider implements ImageObjectLabelProvider { private static final String OBJECT_START_TAG = ""; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BaseImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BaseImageTransform.java index 7e47448fe..650c70c42 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BaseImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BaseImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -24,13 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties; import java.util.Random; -/** - * - * Implements the ImageTransform interface by providing its subclasses - * with a random object to use in the case of random transformations. - * - * @author saudet - */ @NoArgsConstructor @JsonIgnoreProperties({"converter", "currentImage"}) @Data diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BoxImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BoxImageTransform.java index 36340bb49..efaa12fbb 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BoxImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/BoxImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -30,14 +34,6 @@ import java.util.Random; import org.bytedeco.opencv.opencv_core.*; -/** - * Boxes images to a given width and height without changing their aspect ratios, - * or the size of the objects, by either padding or cropping them from the center. - * When the width/height of an image is less than the given width/height, it gets - * padded in that dimension, otherwise it gets cropped. - * - * @author saudet - */ @Accessors(fluent = true) @JsonIgnoreProperties({"borderValue"}) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ColorConversionTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ColorConversionTransform.java index 8b4836949..ee431d8b1 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ColorConversionTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ColorConversionTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -27,10 +31,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * Color conversion transform using CVT (cvtcolor): - * CVT Color. - */ @JsonInclude(JsonInclude.Include.NON_NULL) @Data public class ColorConversionTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/CropImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/CropImageTransform.java index bb333b810..5770469dd 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/CropImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/CropImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -26,11 +30,6 @@ import java.util.Random; import org.bytedeco.opencv.opencv_core.*; -/** - * Crops images deterministically or randomly. - * - * @author saudet - */ @JsonInclude(JsonInclude.Include.NON_NULL) @Data public class CropImageTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/EqualizeHistTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/EqualizeHistTransform.java index ce86dcb3b..40c556d8b 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/EqualizeHistTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/EqualizeHistTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -29,11 +33,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * "Histogram Equalization equalizes the intensity distribution of an image or flattens the intensity distribution curve. - * Used to improve the contrast of an image." - * - */ @JsonIgnoreProperties({"splitChannels", "converter"}) @JsonInclude(JsonInclude.Include.NON_NULL) @Data diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FilterImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FilterImageTransform.java index 0d42c7a0c..3d087f41d 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FilterImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FilterImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -28,13 +32,6 @@ import java.util.Random; import static org.bytedeco.ffmpeg.global.avutil.*; -/** - * Filters images using FFmpeg (libavfilter): - * FFmpeg Filters Documentation. - * - * @author saudet - * @see FFmpegFrameFilter - */ @JsonIgnoreProperties({"filter", "converter"}) @JsonInclude(JsonInclude.Include.NON_NULL) @Data diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FlipImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FlipImageTransform.java index a79b94427..74d586607 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FlipImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/FlipImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -26,11 +30,6 @@ import java.util.Random; import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_core.*; -/** - * Flips images deterministically or randomly. - * - * @author saudet - */ @JsonInclude(JsonInclude.Include.NON_NULL) @Data public class FlipImageTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransform.java index bdd74df13..3c98ad969 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -23,11 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.util.Random; -/** - * Transforms an image in some way, either deterministically or randomly. - * - * @author saudet - */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface ImageTransform extends Operation { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransformProcess.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransformProcess.java index 2994e4a6b..b841e5e7c 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransformProcess.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ImageTransformProcess.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -34,9 +38,6 @@ import java.util.Arrays; import java.util.List; import java.util.Random; -/** - * Created by kepricon on 17. 5. 23. - */ @Data @Slf4j @NoArgsConstructor diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/LargestBlobCropTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/LargestBlobCropTransform.java index 48c0daae2..0a12ee7f7 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/LargestBlobCropTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/LargestBlobCropTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -27,16 +31,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * crop images based on it's largest blob. Calls internally - * {@link org.bytedeco.opencv.global.opencv_imgproc#blur(Mat, Mat, Size)} - * {@link org.bytedeco.opencv.global.opencv_imgproc#Canny(Mat ,Mat, double, double)} - * {@link org.bytedeco.opencv.global.opencv_imgproc#threshold(Mat, Mat, double, double, int)} - * {@link org.bytedeco.opencv.global.opencv_imgproc#findContours(Mat, MatVector, Mat, int, int)} - * {@link org.bytedeco.opencv.global.opencv_imgproc#contourArea(Mat, boolean)} - * - * @author antdood - */ @Data public class LargestBlobCropTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/MultiImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/MultiImageTransform.java index 0311baab3..9877d6ffc 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/MultiImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/MultiImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -23,11 +27,6 @@ import java.util.Random; import org.bytedeco.opencv.opencv_core.*; -/** - * Transforms images deterministically or randomly with the help of an array of ImageTransform - * - * @author saudet - */ @Data public class MultiImageTransform extends BaseImageTransform { private PipelineImageTransform transform; diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/PipelineImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/PipelineImageTransform.java index 9820c7ac7..84c4191be 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/PipelineImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/PipelineImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -27,21 +31,6 @@ import java.util.*; import org.bytedeco.opencv.opencv_core.*; -/** - * Allows creation of image transform pipelines, either sequentially or randomly. - * - * You have the option of passing in multiple transforms as parameters. If you - * want to create a more complex pipeline, you can pass in a pipeline that looks - * like {@literal List>}. The Double value is the probability that - * particular element in the pipeline will be executed. This is helpful for creating - * complex pipelines. - * - * The pipeline can also be randomly shuffled with each transform, further increasing - * the available dataset. - * - * @author saudet - * @author crockpotveggies - */ @Data public class PipelineImageTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RandomCropTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RandomCropTransform.java index 648d05efb..5d8a2d029 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RandomCropTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RandomCropTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -28,12 +32,6 @@ import java.util.Random; import org.bytedeco.opencv.opencv_core.*; -/** - * Randomly crops an image to a desired output size. Will determine if - * output size is valid, otherwise will throw an error. - * - * @author Justin Long (@crockpotveggies) - */ @JsonIgnoreProperties({"rng", "converter"}) @JsonInclude(JsonInclude.Include.NON_NULL) @Data diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ResizeImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ResizeImageTransform.java index 7c3d7816e..18702fc16 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ResizeImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ResizeImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -28,15 +32,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * ResizeImageTransform is suited to force the same image size for whole pipeline - * and it doesn't use any random factor for width and height. - * - * If you need to use random scales to scale or crop the images, - * these links might be helpful {@link ScaleImageTransform} or {@link ScaleImageTransform} - * - * @author raver119@gmail.com - */ @JsonInclude(JsonInclude.Include.NON_NULL) @Data public class ResizeImageTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RotateImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RotateImageTransform.java index d9f47bd4c..25b8f53be 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RotateImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/RotateImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -35,13 +39,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * Rotates and scales images deterministically or randomly. Calls - * {@link org.bytedeco.opencv.global.opencv_imgproc#warpAffine(Mat, Mat, Mat, Size, int, int, Scalar)} - * with given properties (interMode, borderMode, and borderValue). - * - * @author saudet - */ @Accessors(fluent = true) @JsonIgnoreProperties({"interMode", "borderMode", "borderValue", "converter"}) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ScaleImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ScaleImageTransform.java index a034106a1..998bc8799 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ScaleImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ScaleImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -28,12 +32,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * ScaleImageTransform is aim to scale by a certain random factor, - * not the final size of the image. - * - * @author saudet - */ @JsonInclude(JsonInclude.Include.NON_NULL) @Data public class ScaleImageTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ShowImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ShowImageTransform.java index 2e9f8387a..272e2768d 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ShowImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/ShowImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -24,12 +28,6 @@ import org.datavec.image.data.ImageWritable; import javax.swing.*; import java.util.Random; -/** - * Shows images on the screen, does not actually transform them. - * To continue to the next image, press any key in the window of the CanvasFrame. - * - * @author saudet - */ @Data public class ShowImageTransform extends BaseImageTransform { diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/WarpImageTransform.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/WarpImageTransform.java index f6c1d9baa..cf51f8603 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/WarpImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/transform/WarpImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -35,13 +39,6 @@ import org.bytedeco.opencv.opencv_core.*; import static org.bytedeco.opencv.global.opencv_core.*; import static org.bytedeco.opencv.global.opencv_imgproc.*; -/** - * Warps the perspective of images deterministically or randomly. Calls - * {@link org.bytedeco.opencv.global.opencv_imgproc#warpPerspective(Mat, Mat, Mat, Size, int, int, Scalar)} - * with given properties (interMode, borderMode, and borderValue). - * - * @author saudet - */ @Accessors(fluent = true) @JsonIgnoreProperties({"interMode", "borderMode", "borderValue", "converter"}) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/util/ImageUtils.java b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/util/ImageUtils.java index e93a2292a..02c1eaeab 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/util/ImageUtils.java +++ b/datavec/datavec-data/datavec-data-image/src/main/java/org/datavec/image/util/ImageUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.util; diff --git a/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageReaderSpi b/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageReaderSpi index 2da8244dc..6796fafc1 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageReaderSpi +++ b/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageReaderSpi @@ -1,3 +1,219 @@ +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * Copyright (c) 2021 Deeplearning4j Contributors +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + ################################################################################ # Copyright (c) 2015-2018 Skymind, Inc. # diff --git a/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageWriterSpi b/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageWriterSpi index 6b9da9762..d61854537 100644 --- a/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageWriterSpi +++ b/datavec/datavec-data/datavec-data-image/src/main/resources/META-INF/services/javax.imageio.spi.ImageWriterSpi @@ -1,3 +1,219 @@ +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + +# +# /* ****************************************************************************** +# * Copyright (c) 2021 Deeplearning4j Contributors +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ +# + ################################################################################ # Copyright (c) 2015-2018 Skymind, Inc. # diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/AssertTestsExtendBaseClass.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/AssertTestsExtendBaseClass.java index 53b1f083a..7cb31917e 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/LabelGeneratorTest.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/LabelGeneratorTest.java index 44c32f94f..f5e62341c 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/LabelGeneratorTest.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/LabelGeneratorTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/LoaderTests.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/LoaderTests.java index a6063666d..c0ddabb43 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/LoaderTests.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/LoaderTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestImageLoader.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestImageLoader.java index a82f12409..fd547b1af 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestNativeImageLoader.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestNativeImageLoader.java index 68e93107c..f7532c96a 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestNativeImageLoader.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/loader/TestNativeImageLoader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.loader; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/FileBatchRecordReaderTest.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/FileBatchRecordReaderTest.java index 75020ebf1..d54b32b0e 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/FileBatchRecordReaderTest.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/FileBatchRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestImageRecordReader.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestImageRecordReader.java index 590f6fc72..66a978ab9 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestImageRecordReader.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestImageRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader; @@ -49,9 +53,6 @@ import java.util.Random; import static org.junit.Assert.*; -/** - * Created by Alex on 27/09/2016. - */ public class TestImageRecordReader { @Rule diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestObjectDetectionRecordReader.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestObjectDetectionRecordReader.java index 5e4598005..a30d42827 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestObjectDetectionRecordReader.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/TestObjectDetectionRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/objdetect/TestVocLabelProvider.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/objdetect/TestVocLabelProvider.java index 9d12ced22..11114219a 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/objdetect/TestVocLabelProvider.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/recordreader/objdetect/TestVocLabelProvider.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.recordreader.objdetect; diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/JsonYamlTest.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/JsonYamlTest.java index 9825e6899..2d9bab6ea 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/JsonYamlTest.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/JsonYamlTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -26,9 +30,6 @@ import java.util.Random; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by kepricon on 17. 5. 25. - */ public class JsonYamlTest { @Test public void testJsonYamlImageTransformProcess() throws IOException { diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/ResizeImageTransformTest.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/ResizeImageTransformTest.java index d769aac42..33dae8c19 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/ResizeImageTransformTest.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/ResizeImageTransformTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; @@ -23,11 +27,6 @@ import org.junit.Test; import static org.junit.Assert.assertEquals; -/** - * Tests for ResizeImage - * - * @author raver119@gmail.com - */ public class ResizeImageTransformTest { @Before public void setUp() throws Exception { diff --git a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/TestImageTransform.java b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/TestImageTransform.java index bd71a1029..5e6a4f588 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/TestImageTransform.java +++ b/datavec/datavec-data/datavec-data-image/src/test/java/org/datavec/image/transform/TestImageTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.image.transform; diff --git a/datavec/datavec-data/datavec-data-image/src/test/resources/logback.xml b/datavec/datavec-data/datavec-data-image/src/test/resources/logback.xml index 27b08dbe4..14ac94e62 100644 --- a/datavec/datavec-data/datavec-data-image/src/test/resources/logback.xml +++ b/datavec/datavec-data/datavec-data-image/src/test/resources/logback.xml @@ -1,18 +1,22 @@ - + diff --git a/datavec/datavec-data/datavec-data-nlp/pom.xml b/datavec/datavec-data/datavec-data-nlp/pom.xml index dd5860f9a..475c13c2e 100644 --- a/datavec/datavec-data/datavec-data-nlp/pom.xml +++ b/datavec/datavec-data/datavec-data-nlp/pom.xml @@ -1,48 +1,58 @@ - + + + + - - - datavec-data - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-data + 1.0.0-SNAPSHOT + + datavec-data-nlp - jar datavec-data-nlp - http://maven.apache.org - UTF-8 2.0.0 - org.apache.commons - commons-lang3 - ${commons-lang3.version} + org.datavec + datavec-api org.datavec - datavec-api + datavec-local ${project.version} + test + + + org.apache.commons + commons-lang3 org.cleartk @@ -54,26 +64,6 @@ cleartk-opennlp-tools ${cleartk.version} - - ch.qos.logback - logback-classic - ${logback.version} - test - - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - - - org.datavec - datavec-local - ${project.version} - test - diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/PoStagger.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/PoStagger.java index d071a42a4..7934a7cba 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/PoStagger.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/PoStagger.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.annotator; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/SentenceAnnotator.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/SentenceAnnotator.java index 4ba7e8532..69491b99c 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/SentenceAnnotator.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/SentenceAnnotator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.annotator; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/StemmerAnnotator.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/StemmerAnnotator.java index 253eebd9f..c6d7438d3 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/StemmerAnnotator.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/StemmerAnnotator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.annotator; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/TokenizerAnnotator.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/TokenizerAnnotator.java index 844a8554f..a9eef5e7f 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/TokenizerAnnotator.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/annotator/TokenizerAnnotator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.annotator; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/input/TextInputFormat.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/input/TextInputFormat.java index a120a3727..a1f1a3a65 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/input/TextInputFormat.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/input/TextInputFormat.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.input; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/DefaultVocabCache.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/DefaultVocabCache.java index 16dff8e5f..10a05e89d 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/DefaultVocabCache.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/DefaultVocabCache.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.metadata; @@ -22,12 +26,6 @@ import org.datavec.nlp.vectorizer.TextVectorizer; import org.nd4j.common.util.MathUtils; import org.nd4j.common.util.Index; -/** - * Vocab cache used for storing information - * about vocab - * - * @author Adam Gibson - */ public class DefaultVocabCache implements VocabCache { private Counter wordFrequencies = new Counter<>(); diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/VocabCache.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/VocabCache.java index 64fb1e8cb..e40628884 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/VocabCache.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/metadata/VocabCache.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.metadata; @@ -20,11 +24,6 @@ package org.datavec.nlp.metadata; import org.datavec.api.conf.Configuration; import org.nd4j.common.util.Index; -/** - * Track metadata about vocabs - * - * @author Adam Gibson - */ public interface VocabCache { diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/ContextLabelRetriever.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/ContextLabelRetriever.java index 76b0244bd..ee767d22c 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/ContextLabelRetriever.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/ContextLabelRetriever.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.movingwindow; @@ -27,11 +31,6 @@ import org.datavec.nlp.tokenization.tokenizerfactory.TokenizerFactory; import java.util.ArrayList; import java.util.List; -/** - * Context Label Retriever - * - * @author Adam Gibson - */ public class ContextLabelRetriever { diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Util.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Util.java index 225b2190c..8ba0e5d4a 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Util.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Util.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.movingwindow; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Window.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Window.java index a75b37fd0..929ae743b 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Window.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Window.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.movingwindow; @@ -24,12 +28,6 @@ import java.util.Collection; import java.util.List; -/** - * A representation of a sliding window. - * This is used for creating training examples. - * @author Adam Gibson - * - */ public class Window implements Serializable { /** * diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Windows.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Windows.java index 8791aa524..182d45849 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Windows.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/movingwindow/Windows.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.movingwindow; @@ -27,10 +31,6 @@ import java.util.ArrayList; import java.util.List; import java.util.StringTokenizer; -/** - * Static utility class for textual based windowing functions - * @author Adam Gibson - */ public class Windows { diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/reader/TfidfRecordReader.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/reader/TfidfRecordReader.java index 8401b640d..eaed6ed3a 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/reader/TfidfRecordReader.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/reader/TfidfRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.reader; @@ -31,12 +35,6 @@ import org.nd4j.linalg.api.ndarray.INDArray; import java.io.IOException; import java.util.*; -/** - * TFIDF record reader (wraps a tfidf vectorizer - * for delivering labels and conforming to the record reader interface) - * - * @author Adam Gibson - */ public class TfidfRecordReader extends FileRecordReader { private TfidfVectorizer tfidfVectorizer; private List records = new ArrayList<>(); diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/stopwords/StopWords.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/stopwords/StopWords.java index abff8f999..189ad6bc9 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/stopwords/StopWords.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/stopwords/StopWords.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.stopwords; @@ -21,11 +25,6 @@ import org.apache.commons.io.IOUtils; import java.io.IOException; import java.util.List; -/** - * Loads stop words from the class path - * @author Adam Gibson - * - */ public class StopWords { private static List stopWords; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/ConcurrentTokenizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/ConcurrentTokenizer.java index d46e68790..d604aae73 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/ConcurrentTokenizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/ConcurrentTokenizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; @@ -32,25 +36,6 @@ import org.apache.uima.cas.text.AnnotationFS; import org.apache.uima.resource.ResourceAccessException; import org.apache.uima.resource.ResourceInitializationException; -/** - * OpenNLP Tokenizer annotator. - *

- * Mandatory parameters - * - * - * - * - * - *
Type Name Description
String opennlp.uima.ModelName The name of the model file
String opennlp.uima.SentenceType The full name of the sentence type
String opennlp.uima.TokenType The full name of the token type
- *

- * Optional parameters - * - * - * - *
Type Name Description
String opennlp.uima.ProbabilityFeature The name of the double - * probability feature (not applyTransformToDestination by default)
- * @see {@link TokenizerME} - */ public class ConcurrentTokenizer extends AbstractTokenizer { /** diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultStreamTokenizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultStreamTokenizer.java index 9216ed24a..9f10fb878 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultStreamTokenizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultStreamTokenizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultTokenizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultTokenizer.java index 4b393c0d5..f9ba4a0aa 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultTokenizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/DefaultTokenizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/PosUimaTokenizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/PosUimaTokenizer.java index e9e94bb99..2478b7ae3 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/PosUimaTokenizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/PosUimaTokenizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; @@ -31,13 +35,6 @@ import java.util.ArrayList; import java.util.Collection; import java.util.List; -/** - * Filter by part of speech tag. - * Any not valid part of speech tags - * become NONE - * @author Adam Gibson - * - */ public class PosUimaTokenizer implements Tokenizer { private static AnalysisEngine engine; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/TokenPreProcess.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/TokenPreProcess.java index 4390a17c9..55412ac77 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/TokenPreProcess.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/TokenPreProcess.java @@ -1,27 +1,26 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; -/** - * Token preprocessing - * @author Adam Gibson - * - */ public interface TokenPreProcess { /** diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/Tokenizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/Tokenizer.java index 37e8ddb63..d8f8d2c9a 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/Tokenizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/Tokenizer.java @@ -1,30 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; import java.util.List; -/** - * A representation of a tokenizer. - * Different applications may require - * different kind of tokenization (say rules based vs more formal NLP approaches) - * @author Adam Gibson - * - */ public interface Tokenizer { /** diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/UimaTokenizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/UimaTokenizer.java index eb14fdabd..7e430029b 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/UimaTokenizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/UimaTokenizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/EndingPreProcessor.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/EndingPreProcessor.java index 7a1ddc044..52b572358 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/EndingPreProcessor.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/EndingPreProcessor.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer.preprocessor; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/LowerCasePreProcessor.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/LowerCasePreProcessor.java index 69987b14c..adb3f322b 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/LowerCasePreProcessor.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizer/preprocessor/LowerCasePreProcessor.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizer.preprocessor; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/DefaultTokenizerFactory.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/DefaultTokenizerFactory.java index 4e70edfe2..45b571afe 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/DefaultTokenizerFactory.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/DefaultTokenizerFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizerfactory; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java index 5419bf9ef..8ef9dce90 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizerfactory; @@ -32,13 +36,6 @@ import java.util.Collection; import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngine; import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription; -/** - * Creates a tokenizer that filters by - * part of speech tags - * @see {org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer} - * @author Adam Gibson - * - */ public class PosUimaTokenizerFactory implements TokenizerFactory { private AnalysisEngine tokenizer; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/TokenizerFactory.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/TokenizerFactory.java index 610f0c759..ccbb93d98 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/TokenizerFactory.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/TokenizerFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizerfactory; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/UimaTokenizerFactory.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/UimaTokenizerFactory.java index 7b24244ac..d92a42d9a 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/UimaTokenizerFactory.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/tokenization/tokenizerfactory/UimaTokenizerFactory.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.tokenization.tokenizerfactory; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BagOfWordsTransform.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BagOfWordsTransform.java index 9cb9c642f..058d5b4f3 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BagOfWordsTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BagOfWordsTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; @@ -23,24 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo; import java.util.List; -/** - * A bag of words transform represents taking a list of words - * and converting it to a vector where that vector is - * of length number of vocab words. - * Vocab words are determined by what is passed in to the transform via a constructor generally. - * - * To build a vocab in NLP, you crawl a corpus with a tokenizer tracking word frequencies. - * Any words above a specified frequency are added to an ordered list. - * - * When using this ordered list in NLP pipelines (at least for bag of words) - * you perform a lookup for each word in a string (determined by a tokenizer) - * and fill in the appropriate weight (a word count or tfidf weight generally) - * to represent the word at a particular column. - * - * The column is determined by the ordered list of words. - * - * @author Adam Gibson - */ @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface BagOfWordsTransform extends Transform { diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BaseWordMapTransform.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BaseWordMapTransform.java index 92500f8f6..dbba4bb45 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BaseWordMapTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/BaseWordMapTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/GazeteerTransform.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/GazeteerTransform.java index 46c960ee3..2784ae877 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/GazeteerTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/GazeteerTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; @@ -36,17 +40,6 @@ import java.util.HashSet; import java.util.List; import java.util.Set; -/** - * A gazeteer is a work lookup table - * based on a word list. - * A 0 or 1 is returned if the word is in the list. - * A word list is also needed to represent the vocab words - * that go along side the vector creation. - * For more on this process, please see the {@link BagOfWordsTransform} - * interface docs. - * - * @author Adam Gibson - */ @Data @EqualsAndHashCode(callSuper = true) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/MultiNlpTransform.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/MultiNlpTransform.java index 7e7bf47ec..e69f32587 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/MultiNlpTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/MultiNlpTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; @@ -30,14 +34,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.util.Collections; import java.util.List; -/** - * A multi NLP transform takes in 1 or more bag of words transforms as a pipeline - * and runs them in sequence. - * This transform takes in a column name and 1 or more bag of words transforms to run. - * Lastly, a new column name is specified. - * - * @author Adam Gibson - */ public class MultiNlpTransform extends BaseColumnTransform implements BagOfWordsTransform { private BagOfWordsTransform[] transforms; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransform.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransform.java index 119cf4a21..9b9483a4e 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; @@ -41,29 +45,6 @@ import java.util.ArrayList; import java.util.List; import java.util.Map; -/** - * This transform takes in a list of words - * and outputs a single vector where that vector is of size - * number of words in the vocab. - * - * For more information on vocab, see {@link BagOfWordsTransform} - * - * For definition of a vocab, it is generated using a {@link TokenizerFactory} - * This transform will use {@link DefaultTokenizerFactory} - * for the tokenizer factory if one is not specified. - * Otherwise, one can specify a custom {@link TokenizerFactory} - * with a default constructor. - * - * The other components that need to be specified are: - * a word index map representing what words go in what columns - * an inverse document frequency map representing the weighting of inverse document frequencies - * for each word (this is for tfidf calculation) - * - * This is typically used for non english languages. - * - * - * @author Adam Gibson - */ @Data @EqualsAndHashCode(callSuper = true, exclude = {"tokenizerFactory"}) @JsonInclude(JsonInclude.Include.NON_NULL) diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/uima/UimaResource.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/uima/UimaResource.java index 9c1c9546e..5ba3a60b9 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/uima/UimaResource.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/uima/UimaResource.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.uima; @@ -22,11 +26,6 @@ import org.apache.uima.cas.CAS; import org.apache.uima.resource.ResourceInitializationException; import org.apache.uima.util.CasPool; -/** - * Resource holder for uima - * @author Adam Gibson - * - */ public class UimaResource { private AnalysisEngine analysisEngine; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/AbstractTfidfVectorizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/AbstractTfidfVectorizer.java index 228774142..4988f0c3f 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/AbstractTfidfVectorizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/AbstractTfidfVectorizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.vectorizer; @@ -27,10 +31,6 @@ import org.datavec.nlp.tokenization.tokenizerfactory.TokenizerFactory; import java.util.HashSet; import java.util.Set; -/** - * Tf idf vectorizer - * @author Adam Gibson - */ public abstract class AbstractTfidfVectorizer extends TextVectorizer { @Override diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TextVectorizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TextVectorizer.java index dcf588ce9..98e2fea4d 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TextVectorizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TextVectorizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.vectorizer; @@ -31,12 +35,6 @@ import org.datavec.nlp.tokenization.tokenizerfactory.TokenizerFactory; import java.util.Collection; -/** - * Baseline text vectorizer that includes some common elements - * to text analysis such as the tokenizer factory - * - * @author Adam Gibson - */ public abstract class TextVectorizer implements Vectorizer { protected TokenizerFactory tokenizerFactory; diff --git a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TfidfVectorizer.java b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TfidfVectorizer.java index a730bc739..9a2f2db9e 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TfidfVectorizer.java +++ b/datavec/datavec-data/datavec-data-nlp/src/main/java/org/datavec/nlp/vectorizer/TfidfVectorizer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.vectorizer; @@ -30,12 +34,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * - * Nd4j tfidf vectorizer - * - * @author Adam Gibson - */ public class TfidfVectorizer extends AbstractTfidfVectorizer { /** * Default: True.
diff --git a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/AssertTestsExtendBaseClass.java b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/AssertTestsExtendBaseClass.java index 533c6b3ad..9c343f702 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/reader/TfidfRecordReaderTest.java b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/reader/TfidfRecordReaderTest.java index e0fddecad..2ae8e684a 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/reader/TfidfRecordReaderTest.java +++ b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/reader/TfidfRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.reader; diff --git a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestGazeteerTransform.java b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestGazeteerTransform.java index e1ce08be6..6f567d1af 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestGazeteerTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestGazeteerTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; diff --git a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestMultiNLPTransform.java b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestMultiNLPTransform.java index 265c837e1..a2194d6f9 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestMultiNLPTransform.java +++ b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TestMultiNLPTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2019 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; diff --git a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransformTest.java b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransformTest.java index 5dc1fd415..3d16997da 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransformTest.java +++ b/datavec/datavec-data/datavec-data-nlp/src/test/java/org/datavec/nlp/transforms/TokenizerBagOfWordsTermSequenceIndexTransformTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.nlp.transforms; diff --git a/datavec/datavec-data/datavec-data-nlp/src/test/resources/logback.xml b/datavec/datavec-data/datavec-data-nlp/src/test/resources/logback.xml index 2087d615c..abb9912c7 100644 --- a/datavec/datavec-data/datavec-data-nlp/src/test/resources/logback.xml +++ b/datavec/datavec-data/datavec-data-nlp/src/test/resources/logback.xml @@ -1,18 +1,22 @@ - + diff --git a/datavec/datavec-data/datavec-geo/pom.xml b/datavec/datavec-data/datavec-geo/pom.xml index 792265434..b19518faa 100644 --- a/datavec/datavec-data/datavec-geo/pom.xml +++ b/datavec/datavec-data/datavec-geo/pom.xml @@ -1,28 +1,35 @@ - + + + + + 4.0.0 - - datavec-data org.datavec + datavec-data 1.0.0-SNAPSHOT - 4.0.0 datavec-geo @@ -30,25 +37,12 @@ org.datavec datavec-api - ${project.version} - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test com.maxmind.geoip2 geoip2 ${geoip2.version} - - ch.qos.logback - logback-classic - ${logback.version} - test - diff --git a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/geo/LocationType.java b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/geo/LocationType.java index cd12f3fc9..a1ae236d7 100644 --- a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/geo/LocationType.java +++ b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/geo/LocationType.java @@ -1,26 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.geo; -/** - * The type of geolocation. - * - * @author saudet - */ public enum LocationType { CITY, CITY_ID, CONTINENT, CONTINENT_ID, COUNTRY, COUNTRY_ID, COORDINATES, POSTAL_CODE, SUBDIVISIONS, SUBDIVISIONS_ID } diff --git a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/reduce/geo/CoordinatesReduction.java b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/reduce/geo/CoordinatesReduction.java index d5e9e3439..50459850c 100644 --- a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/reduce/geo/CoordinatesReduction.java +++ b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/reduce/geo/CoordinatesReduction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce.geo; @@ -33,12 +37,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Applies a ReduceOp to a column of coordinates, for each component independently. - * Basically a dispatchop with n = 2 an integrated coordinate parsing & serialization - * - * @author saudet - */ public class CoordinatesReduction implements AggregableColumnReduction { public static final String DEFAULT_COLUMN_NAME = "CoordinatesReduction"; diff --git a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/CoordinatesDistanceTransform.java b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/CoordinatesDistanceTransform.java index bd80e83bd..dacd09222 100644 --- a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/CoordinatesDistanceTransform.java +++ b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/CoordinatesDistanceTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.geo; @@ -29,12 +33,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; -/** - * Computes the Euclidean distance between coordinates found in two columns, divided by an optional third for normalization purposes. - * A new column (with the specified name) is added as the final column of the output. No other columns are modified. - * - * @author saudet - */ public class CoordinatesDistanceTransform extends BaseColumnsMathOpTransform { public final static String DEFAULT_DELIMITER = ":"; diff --git a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/GeoIPFetcher.java b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/GeoIPFetcher.java index 7868b0044..47399d661 100644 --- a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/GeoIPFetcher.java +++ b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/GeoIPFetcher.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.geo; @@ -26,12 +30,6 @@ import java.io.File; import java.io.IOException; import java.net.URL; -/** - * Downloads and caches the GeoLite2 City database created by MaxMind, available from - * http://www.maxmind.com or uses one already available on system. - * - * @author saudet - */ public class GeoIPFetcher { protected static final Logger log = LoggerFactory.getLogger(GeoIPFetcher.class); diff --git a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToCoordinatesTransform.java b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToCoordinatesTransform.java index c5aa5b471..47c13f50e 100644 --- a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToCoordinatesTransform.java +++ b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToCoordinatesTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.geo; @@ -21,13 +25,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty; import java.io.IOException; -/** - * Uses GeoIP2 from http://www.maxmind.com - * to convert IP addresses to (approximate) coordinates (latitude:longitude). - * For example, "128.101.101.101" becomes something like "44.9733:-93.2323". - * - * @author saudet - */ public class IPAddressToCoordinatesTransform extends IPAddressToLocationTransform { public IPAddressToCoordinatesTransform(@JsonProperty("columnName") String columnName) throws IOException { diff --git a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToLocationTransform.java b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToLocationTransform.java index db4049352..807df1ffe 100644 --- a/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToLocationTransform.java +++ b/datavec/datavec-data/datavec-geo/src/main/java/org/datavec/api/transform/transform/geo/IPAddressToLocationTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform.geo; @@ -36,14 +40,6 @@ import java.io.ObjectInputStream; import java.io.ObjectOutputStream; import java.net.InetAddress; -/** - * Uses GeoIP2 from http://www.maxmind.com - * to convert IP addresses to (approximate) locations. - * - * @see LocationType - * - * @author saudet - */ @Slf4j public class IPAddressToLocationTransform extends BaseColumnTransform { /** diff --git a/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/AssertTestsExtendBaseClass.java b/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/AssertTestsExtendBaseClass.java index 3a01a1c4b..9423e525b 100644 --- a/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/reduce/TestGeoReduction.java b/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/reduce/TestGeoReduction.java index d7f62fa02..e5422a46d 100644 --- a/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/reduce/TestGeoReduction.java +++ b/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/reduce/TestGeoReduction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.reduce; diff --git a/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/transform/TestGeoTransforms.java b/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/transform/TestGeoTransforms.java index ea52d9979..349e04cc1 100644 --- a/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/transform/TestGeoTransforms.java +++ b/datavec/datavec-data/datavec-geo/src/test/java/org/datavec/api/transform/transform/TestGeoTransforms.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.transform.transform; diff --git a/datavec/datavec-data/datavec-hadoop/pom.xml b/datavec/datavec-data/datavec-hadoop/pom.xml deleted file mode 100644 index 118ea131e..000000000 --- a/datavec/datavec-data/datavec-hadoop/pom.xml +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - datavec-data - org.datavec - 1.0.0-SNAPSHOT - - jar - 4.0.0 - - datavec-hadoop - - - - - org.datavec - datavec-api - ${project.version} - - - - io.netty - netty-all - - - org.apache.hadoop - hadoop-common - ${hadoop.version} - provided - - - com.google.code.findbugs - jsr305 - - - jdk.tools - jdk.tools - - - org.slf4j - slf4j-log4j12 - - - - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - - - - - test-nd4j-native - - - test-nd4j-cuda-11.0 - - - diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/conf/ConfigurationUtil.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/conf/ConfigurationUtil.java deleted file mode 100644 index 01d5b2f84..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/conf/ConfigurationUtil.java +++ /dev/null @@ -1,58 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.conf; - -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.fs.Path; - -/** - * Notes - * - * https://linuxjunkies.wordpress.com/2011/11/21/a-hdfsclient-for-hadoop-using-the-native-java-api-a-tutorial/ - * - * Design Ideas - * - * - Need a DataVec Conf entry: - * - hadoop.configuration.path - * - example: hadoop.configuration.path=/home/hadoop/hadoop/conf/ - * - * - * @author josh - * - */ -public class ConfigurationUtil { - - public static Configuration generateConfig(String baseConfPath) { - - String baseConfPathTrimmed = baseConfPath.trim(); - - if (false == "/".equals(baseConfPathTrimmed.endsWith("/"))) { - - baseConfPathTrimmed += "/"; - - } - - Configuration conf = new Configuration(); - conf.addResource(new Path(baseConfPathTrimmed + "core-site.xml")); - conf.addResource(new Path(baseConfPathTrimmed + "hdfs-site.xml")); - conf.addResource(new Path(baseConfPathTrimmed + "mapred-site.xml")); - - return conf; - - } - -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/IndexToKey.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/IndexToKey.java deleted file mode 100644 index 56a751953..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/IndexToKey.java +++ /dev/null @@ -1,57 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile; - -import org.apache.hadoop.io.MapFile; -import org.apache.hadoop.io.Writable; -import org.apache.hadoop.io.WritableComparable; -import org.nd4j.common.primitives.Pair; - -import java.io.IOException; -import java.util.List; - -/** - * An interface to handle Index to key conversion, for use in {@link MapFileReader} - * - * @author Alex Black - */ -public interface IndexToKey { - - /** - * Initialise the instance, and return the first and last record indexes (inclusive) for each reader - * - * @param readers The underlying map file readers - */ - List> initialize(MapFile.Reader[] readers, Class valueClass) - throws IOException; - - /** - * Get the key for the given index - * - * @param index 0 to getNumRecords(reader) - * @return The key for the given index - */ - WritableComparable getKeyForIndex(long index); - - /** - * Getter infer the number of records in the given map file(s) - * - * @return Number of records in the map file(s) - */ - long getNumRecords() throws IOException; - -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileReader.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileReader.java deleted file mode 100644 index f5b28847e..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileReader.java +++ /dev/null @@ -1,138 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile; - -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.fs.Path; -import org.apache.hadoop.io.MapFile; -import org.apache.hadoop.io.SequenceFile; -import org.apache.hadoop.io.Writable; -import org.apache.hadoop.io.WritableComparable; -import org.apache.hadoop.util.ReflectionUtils; -import org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey; -import org.datavec.hadoop.records.reader.mapfile.record.RecordWritable; -import org.nd4j.common.primitives.Pair; - -import java.io.Closeable; -import java.io.IOException; -import java.util.Collections; -import java.util.List; - -/** - * A wrapper around a Hadoop {@link MapFile.Reader}, used in {@link MapFileRecordReader} and {@link MapFileSequenceRecordReader} - * - * Note: This also handles multiple map files, such as the output from Spark, which gives a set of map files - * in directories like /part-r-00000, /part-r-00001 - * - * @author Alex Black - */ -public class MapFileReader implements Closeable { - - private MapFile.Reader[] readers; - private IndexToKey indexToKey; - private Class recordClass; - private List> recordIndexesEachReader; - private Long numRecords; - - - public MapFileReader(String path) throws Exception { - this(path, new LongIndexToKey(), RecordWritable.class); - } - - /** - * @param path Path (directory) of the MapFile - * @param indexToKey Instance used to convert long indices to key values. This allows for lookup by key - * @param recordClass Class of the records in the MapFile - * @throws IOException If an error occurs during opening or initialisation - */ - public MapFileReader(String path, IndexToKey indexToKey, Class recordClass) throws IOException { - this(Collections.singletonList(path), indexToKey, recordClass); - } - - public MapFileReader(List paths, IndexToKey indexToKey, Class recordClass) - throws IOException { - - this.indexToKey = indexToKey; - this.recordClass = recordClass; - this.readers = new MapFile.Reader[paths.size()]; - - SequenceFile.Reader.Option[] opts = new SequenceFile.Reader.Option[0]; - - Configuration config = new Configuration(); - for (int i = 0; i < paths.size(); i++) { - readers[i] = new MapFile.Reader(new Path(paths.get(i)), config, opts); - if (readers[i].getValueClass() != recordClass) { - throw new UnsupportedOperationException("MapFile record class: " + readers[i].getValueClass() - + ", but got class " + recordClass + ", path = " + paths.get(i)); - } - } - - recordIndexesEachReader = indexToKey.initialize(readers, recordClass); - } - - /** - * Determine the total number of records in the map file, using the {@link IndexToKey} instance - * - * @return Total number of records and the map file - */ - public long numRecords() { - if (numRecords == null) { - try { - numRecords = indexToKey.getNumRecords(); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - return numRecords; - } - - /** - * It a single record from the map file for the given index - * - * @param index Index, between 0 and numRecords()-1 - * @return Value from the MapFile - * @throws IOException If an error occurs during reading - */ - public V getRecord(long index) throws IOException { - //First: determine which reader to read from... - int readerIdx = -1; - for (int i = 0; i < recordIndexesEachReader.size(); i++) { - Pair p = recordIndexesEachReader.get(i); - if (index >= p.getFirst() && index <= p.getSecond()) { - readerIdx = i; - break; - } - } - if (readerIdx == -1) { - throw new IllegalStateException("Index not found in any reader: " + index); - } - - WritableComparable key = indexToKey.getKeyForIndex(index); - Writable value = ReflectionUtils.newInstance(recordClass, null); - - V v = (V) readers[readerIdx].get(key, value); - return v; - } - - - @Override - public void close() throws IOException { - for (MapFile.Reader r : readers) { - r.close(); - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileRecordReader.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileRecordReader.java deleted file mode 100644 index df649f8e4..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileRecordReader.java +++ /dev/null @@ -1,297 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile; - -import org.datavec.api.conf.Configuration; -import org.datavec.api.records.Record; -import org.datavec.api.records.listener.RecordListener; -import org.datavec.api.records.metadata.RecordMetaData; -import org.datavec.api.records.metadata.RecordMetaDataIndex; -import org.datavec.api.records.reader.RecordReader; -import org.datavec.api.split.InputSplit; -import org.datavec.api.writable.Writable; -import org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey; -import org.datavec.hadoop.records.reader.mapfile.record.RecordWritable; -import org.nd4j.common.util.MathUtils; - -import java.io.DataInputStream; -import java.io.File; -import java.io.IOException; -import java.net.URI; -import java.util.*; - -/** - * A {@link RecordReader} implementation for reading from a Hadoop {@link org.apache.hadoop.io.MapFile}
- *

- * A typical use case is with {@link org.datavec.api.transform.TransformProcess} executed on Spark (perhaps Spark - * local), followed by non-distributed training on a single machine. For example: - * 

- *  {@code
- *  JavaRDD> myRDD = ...;
- *  String mapFilePath = ...;
- *  SparkStorageUtils.saveMapFile( mapFilePath, myRDD );
- *
- *  RecordReader rr = new MapFileRecordReader();
- *  rr.initialize( new FileSplit( new File( mapFilePath ) ) );
- *  //Pass to DataSetIterator or similar
- *  }
- *
- * - * Alternatively, use {@link org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter}.
- * Note that this record reader supports optional randomisation of order. - * - * @author Alex Black - */ -public class MapFileRecordReader implements RecordReader { - private static final Class recordClass = RecordWritable.class; - - private final IndexToKey indexToKey; - private MapFileReader mapFileReader; - private URI baseDirUri; - private List listeners; - - private long numRecords; - private long position; - private Random rng; - private int[] order; - - /** - * Create a MapFileRecordReader with no randomisation, and assuming MapFile keys are {@link org.apache.hadoop.io.LongWritable} - * values - */ - public MapFileRecordReader() throws Exception { - this(new LongIndexToKey(), null); - } - - /** - * Create a MapFileRecordReader with optional randomisation, and assuming MapFile keys are - * {@link org.apache.hadoop.io.LongWritable} values - * - * @param rng If non-null, will be used to randomize the order of examples - * - */ - public MapFileRecordReader(Random rng) { - this(new LongIndexToKey(), rng); - } - - /** - * Create a MapFileRecordReader with optional randomisation, with a custom {@link IndexToKey} instance to - * handle MapFile keys - * - * @param indexToKey Handles conversion between long indices and key values (see for example {@link LongIndexToKey} - * @param rng If non-null, will be used to randomize the order of examples - * - */ - public MapFileRecordReader(IndexToKey indexToKey, Random rng) { - this.indexToKey = indexToKey; - this.rng = rng; - } - - @Override - public void initialize(InputSplit split) throws IOException, InterruptedException { - initialize(null, split); - } - - @Override - public void initialize(Configuration conf, InputSplit split) throws IOException, InterruptedException { - URI[] uris = split.locations(); - - //First: work out whether we have a single MapFile or multiple parts - int dataCount = 0; - int indexCount = 0; - List dataUris = new ArrayList<>(); - for (URI u : uris) { - String p = u.getPath(); - if (p.endsWith("data")) { - dataCount++; - dataUris.add(u); - } else if (p.endsWith("index")) { - indexCount++; - } - } - - //Check URIs are correct: we expect one or more /data and /index files... - if (dataCount == 0 || indexCount == 0) { - throw new IllegalStateException("Cannot initialize MapFileSequenceRecordReader: could not find data and " - + "index files in input split"); - } - if (dataCount != indexCount) { - throw new IllegalStateException("Invalid input: found " + dataCount + " data files but " + indexCount - + " index files. Expect equal number of both for map files"); - } - - List mapFilePartRootDirectories = new ArrayList<>(dataUris.size()); - for (URI u : dataUris) { - File partRootDir = new File(u).getParentFile(); - mapFilePartRootDirectories.add(partRootDir.getAbsolutePath()); - } - - //Sort the paths so we iterate over multi-part MapFiles like part-r-00000, part-r-00001, etc when not randomized - Collections.sort(mapFilePartRootDirectories); - - - if (dataUris.size() == 1) { - //Just parent of /data - baseDirUri = new File(dataUris.get(0)).getParentFile().toURI(); - } else { - //Multiple parts -> up 2 levels from data - //so, /baseDir/part-r-00000/data -> /baseDir - baseDirUri = new File(dataUris.get(0)).getParentFile().getParentFile().toURI(); - } - - if (mapFileReader != null) { - mapFileReader.close(); - } - - this.mapFileReader = new MapFileReader<>(mapFilePartRootDirectories, indexToKey, recordClass); - this.numRecords = mapFileReader.numRecords(); - - if (rng != null) { - order = new int[(int) numRecords]; - for (int i = 0; i < order.length; i++) { - order[i] = i; - } - MathUtils.shuffleArray(order, rng); - } - } - - @Override - public void setConf(Configuration conf) { - - } - - @Override - public Configuration getConf() { - return null; - } - - @Override - public boolean batchesSupported() { - return false; - } - - @Override - public List> next(int num) { - throw new UnsupportedOperationException(); - } - - @Override - public List next() { - return next(false).getRecord(); - } - - @Override - public boolean hasNext() { - return position < numRecords; - } - - @Override - public List getLabels() { - return null; - } - - @Override - public void reset() { - position = 0; - if (order != null) { - MathUtils.shuffleArray(order, rng); - } - } - - @Override - public boolean resetSupported() { - return true; - } - - @Override - public List record(URI uri, DataInputStream dataInputStream) throws IOException { - throw new UnsupportedOperationException(); - } - - @Override - public Record nextRecord() { - return next(true); - } - - @Override - public Record loadFromMetaData(RecordMetaData recordMetaData) throws IOException { - throw new UnsupportedOperationException(); - } - - @Override - public List loadFromMetaData(List recordMetaDatas) throws IOException { - throw new UnsupportedOperationException(); - } - - @Override - public List getListeners() { - return listeners; - } - - @Override - public void setListeners(RecordListener... listeners) { - this.listeners = Arrays.asList(listeners); - } - - @Override - public void setListeners(Collection listeners) { - this.listeners = new ArrayList<>(listeners); - } - - @Override - public void close() throws IOException { - if (mapFileReader != null) { - mapFileReader.close(); - } - } - - - private Record next(boolean withMetadata) { - if (!hasNext()) { - throw new NoSuchElementException(); - } - - RecordWritable rec; - long currIdx; - if (order != null) { - currIdx = order[(int) position++]; - } else { - currIdx = position++; - } - - try { - rec = mapFileReader.getRecord(currIdx); - } catch (IOException e) { - throw new RuntimeException(e); - } - - RecordMetaData meta; - if (withMetadata) { - meta = new RecordMetaDataIndex(currIdx, baseDirUri, MapFileRecordReader.class); - } else { - meta = null; - } - - if (listeners != null && !listeners.isEmpty()) { - for (RecordListener l : listeners) { - l.recordRead(this, rec); - } - } - - return new org.datavec.api.records.impl.Record(rec.getRecord(), meta); - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileSequenceRecordReader.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileSequenceRecordReader.java deleted file mode 100644 index 3a0513132..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/MapFileSequenceRecordReader.java +++ /dev/null @@ -1,330 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile; - -import lombok.NonNull; -import org.datavec.api.conf.Configuration; -import org.datavec.api.records.Record; -import org.datavec.api.records.SequenceRecord; -import org.datavec.api.records.listener.RecordListener; -import org.datavec.api.records.metadata.RecordMetaData; -import org.datavec.api.records.metadata.RecordMetaDataIndex; -import org.datavec.api.records.reader.SequenceRecordReader; -import org.datavec.api.split.InputSplit; -import org.datavec.api.writable.Writable; -import org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey; -import org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable; -import org.nd4j.common.util.MathUtils; - -import java.io.DataInputStream; -import java.io.File; -import java.io.IOException; -import java.net.URI; -import java.util.*; - -/** - * A {@link SequenceRecordReader} implementation for reading from a Hadoop {@link org.apache.hadoop.io.MapFile}
- *

- * A typical use case is with {@link org.datavec.api.transform.TransformProcess} executed on Spark (perhaps Spark - * local), followed by non-distributed training on a single machine. For example: - * 

- *  {@code
- *  JavaRDD>> myRDD = ...;
- *  String mapFilePath = ...;
- *  SparkStorageUtils.saveMapFileSequences( mapFilePath, myRDD );
- *
- *  SequenceRecordReader rr = new MapFileSequenceRecordReader();
- *  rr.initialize( new FileSplit( new File( mapFilePath ) ) );
- *  //Pass to DataSetIterator or similar
- *  }
- *
- * - * Alternatively, use {@link org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter}.
- * Note that this sequence record reader supports optional randomisation of order. - * - * @author Alex Black - */ -public class MapFileSequenceRecordReader implements SequenceRecordReader { - private static final Class recordClass = SequenceRecordWritable.class; - - private final IndexToKey indexToKey; - private MapFileReader mapFileReader; - private URI baseDirUri; - private List listeners; - - private long numSequences; - private long position; - private Random rng; - private int[] order; - - /** - * Create a MapFileSequenceRecordReader with no randomisation, and assuming MapFile keys are {@link org.apache.hadoop.io.LongWritable} - * values - */ - public MapFileSequenceRecordReader() { - this(new LongIndexToKey(), null); - } - - /** - * Create a MapFileSequenceRecordReader with optional randomisation, and assuming MapFile keys are - * {@link org.apache.hadoop.io.LongWritable} values - * - * @param rng If non-null, will be used to randomize the order of examples - * - */ - public MapFileSequenceRecordReader(Random rng) { - this(new LongIndexToKey(), rng); - } - - /** - * Create a MapFileSequenceRecordReader with optional randomisation, with a custom {@link IndexToKey} instance to - * handle MapFile keys - * - * @param indexToKey Handles conversion between long indices and key values (see for example {@link LongIndexToKey} - * @param rng If non-null, will be used to randomize the order of examples - * - */ - public MapFileSequenceRecordReader(IndexToKey indexToKey, Random rng) { - this.indexToKey = indexToKey; - this.rng = rng; - } - - @Override - public void initialize(InputSplit split) throws IOException, InterruptedException { - initialize(null, split); - } - - @Override - public void initialize(Configuration conf, InputSplit split) throws IOException, InterruptedException { - URI[] uris = split.locations(); - - //First: work out whether we have a single MapFile or multiple parts - int dataCount = 0; - int indexCount = 0; - List dataUris = new ArrayList<>(); - for (URI u : uris) { - String p = u.getPath(); - if (p.endsWith("data")) { - dataCount++; - dataUris.add(u); - } else if (p.endsWith("index")) { - indexCount++; - } - } - - //Check URIs are correct: we expect one or more /data and /index files... - if (dataCount == 0 || indexCount == 0) { - throw new IllegalStateException("Cannot initialize MapFileSequenceRecordReader: could not find data and " - + "index files in input split"); - } - if (dataCount != indexCount) { - throw new IllegalStateException("Invalid input: found " + dataCount + " data files but " + indexCount - + " index files. Expect equal number of both for map files"); - } - - List mapFilePartRootDirectories = new ArrayList<>(dataUris.size()); - for (URI u : dataUris) { - File partRootDir = new File(u).getParentFile(); - mapFilePartRootDirectories.add(partRootDir.getAbsolutePath()); - } - - //Sort the paths so we iterate over multi-part MapFiles like part-r-00000, part-r-00001, etc when not randomized - Collections.sort(mapFilePartRootDirectories); - - - if (dataUris.size() == 1) { - //Just parent of /data - baseDirUri = new File(dataUris.get(0)).getParentFile().toURI(); - } else { - //Multiple parts -> up 2 levels from data - //so, /baseDir/part-r-00000/data -> /baseDir - baseDirUri = new File(dataUris.get(0)).getParentFile().getParentFile().toURI(); - } - - if (mapFileReader != null) { - mapFileReader.close(); - } - - this.mapFileReader = new MapFileReader<>(mapFilePartRootDirectories, indexToKey, recordClass); - this.numSequences = mapFileReader.numRecords(); - - if (rng != null) { - order = new int[(int) numSequences]; - for (int i = 0; i < order.length; i++) { - order[i] = i; - } - MathUtils.shuffleArray(order, rng); - } - } - - @Override - public void setConf(Configuration conf) { - - } - - @Override - public Configuration getConf() { - return null; - } - - @Override - public List> sequenceRecord() { - return nextSequence(false).getSequenceRecord(); - } - - @Override - public List> sequenceRecord(URI uri, DataInputStream dataInputStream) throws IOException { - throw new UnsupportedOperationException("MapFileSequenceRecordReader: does not support reading from streams"); - } - - @Override - public SequenceRecord nextSequence() { - return nextSequence(true); - } - - private SequenceRecord nextSequence(boolean withMetadata) { - if (!hasNext()) { - throw new NoSuchElementException(); - } - - SequenceRecordWritable seq; - long currIdx; - if (order != null) { - currIdx = order[(int) position++]; - } else { - currIdx = position++; - } - - try { - seq = mapFileReader.getRecord(currIdx); - } catch (IOException e) { - throw new RuntimeException(e); - } - - RecordMetaData meta; - if (withMetadata) { - meta = new RecordMetaDataIndex(currIdx, baseDirUri, MapFileSequenceRecordReader.class); - } else { - meta = null; - } - - if (listeners != null && !listeners.isEmpty()) { - for (RecordListener l : listeners) { - l.recordRead(this, seq); - } - } - - return new org.datavec.api.records.impl.SequenceRecord(seq.getSequenceRecord(), meta); - } - - @Override - public SequenceRecord loadSequenceFromMetaData(@NonNull RecordMetaData recordMetaData) throws IOException { - long idx = ((RecordMetaDataIndex) recordMetaData).getIndex(); - return new org.datavec.api.records.impl.SequenceRecord(mapFileReader.getRecord(idx).getSequenceRecord(), - recordMetaData); - } - - @Override - public List loadSequenceFromMetaData(@NonNull List recordMetaDatas) - throws IOException { - List out = new ArrayList<>(recordMetaDatas.size()); - for (RecordMetaData r : recordMetaDatas) { - out.add(loadSequenceFromMetaData(r)); - } - return out; - } - - @Override - public boolean batchesSupported() { - return false; - } - - @Override - public List> next(int num) { - throw new UnsupportedOperationException(); - } - - @Override - public List next() { - throw new UnsupportedOperationException(); - } - - @Override - public boolean hasNext() { - return position < numSequences; - } - - @Override - public List getLabels() { - return null; - } - - @Override - public void reset() { - position = 0; - if (order != null) { - MathUtils.shuffleArray(order, rng); - } - } - - @Override - public boolean resetSupported() { - return true; - } - - @Override - public List record(URI uri, DataInputStream dataInputStream) throws IOException { - throw new UnsupportedOperationException(); - } - - @Override - public Record nextRecord() { - throw new UnsupportedOperationException(); - } - - @Override - public Record loadFromMetaData(RecordMetaData recordMetaData) throws IOException { - throw new UnsupportedOperationException(); - } - - @Override - public List loadFromMetaData(List recordMetaDatas) throws IOException { - throw new UnsupportedOperationException(); - } - - @Override - public List getListeners() { - return listeners; - } - - @Override - public void setListeners(RecordListener... listeners) { - this.listeners = Arrays.asList(listeners); - } - - @Override - public void setListeners(Collection listeners) { - this.listeners = new ArrayList<>(listeners); - } - - @Override - public void close() throws IOException { - if (mapFileReader != null) { - mapFileReader.close(); - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/index/LongIndexToKey.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/index/LongIndexToKey.java deleted file mode 100644 index 6e9225a4a..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/index/LongIndexToKey.java +++ /dev/null @@ -1,132 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile.index; - -import org.apache.hadoop.io.LongWritable; -import org.apache.hadoop.io.MapFile; -import org.apache.hadoop.io.Writable; -import org.apache.hadoop.util.ReflectionUtils; -import org.datavec.hadoop.records.reader.mapfile.IndexToKey; -import org.nd4j.common.primitives.Pair; - -import java.io.IOException; -import java.util.ArrayList; -import java.util.Collections; -import java.util.Comparator; -import java.util.List; - -/** - * A default implementation of {@link IndexToKey} that assumes (strictly requires) keys that are - * {@link LongWritable} values, where all values are both unique and contiguous (0 to numRecords()-1)
- * This allows for easy inference of the number of records, and identify mapping between indexes and keys. - * - * @author Alex Black - */ -public class LongIndexToKey implements IndexToKey { - - private List> readerIndices; - - @Override - public List> initialize(MapFile.Reader[] readers, Class valueClass) - throws IOException { - - List> l = new ArrayList<>(readers.length); - for (MapFile.Reader r : readers) { - //Get the first and last keys: - long first = -1; - long last = -1; - - //First key: no method for this for some inexplicable reason :/ - LongWritable k = new LongWritable(); - Writable v = ReflectionUtils.newInstance(valueClass, null); - boolean hasNext = r.next(k, v); - if(!hasNext){ - //This map file is empty - no data - l.add(new Pair<>(-1L, -1L)); - continue; - } - first = k.get(); - - //Last key: easy - r.reset(); - r.finalKey(k); - last = k.get(); - - l.add(new Pair<>(first, last)); - } - - //Check that things are actually contiguous: - List> sorted = new ArrayList<>(l.size()); - for(Pair p : l){ - if(p.getLeft() >= 0){ - sorted.add(p); - } - } - Collections.sort(sorted, new Comparator>() { - @Override - public int compare(Pair o1, Pair o2) { - return Long.compare(o1.getFirst(), o2.getFirst()); - } - }); - - if (sorted.size() == 0){ - throw new IllegalStateException("Map file is empty - no data available"); - } - if (sorted.get(0).getFirst() != 0L) { - throw new UnsupportedOperationException("Minimum key value is not 0: got " + sorted.get(0).getFirst()); - } - - for (int i = 0; i < sorted.size() - 1; i++) { - long currLast = sorted.get(i).getSecond(); - long nextFirst = sorted.get(i + 1).getFirst(); - - if(nextFirst == -1){ - //Skip empty map file - continue; - } - - if (currLast + 1 != nextFirst) { - throw new IllegalStateException( - "Keys are not contiguous between readers: first/last indices (inclusive) " + "are " - + sorted - + ".\n LongIndexKey assumes unique and contiguous LongWritable keys"); - } - } - - readerIndices = l; - return readerIndices; - } - - @Override - public LongWritable getKeyForIndex(long index) { - return new LongWritable(index); - } - - @Override - public long getNumRecords() throws IOException { - long max = -1; - for (Pair p : readerIndices) { - max = Math.max(max, p.getSecond()); - } - - if (max <= 0) { - throw new IllegalStateException("Invalid number of keys found: " + max); - } - - return max + 1; //Zero indexed - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/record/RecordWritable.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/record/RecordWritable.java deleted file mode 100644 index 139f28ce9..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/record/RecordWritable.java +++ /dev/null @@ -1,59 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile.record; - -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.NoArgsConstructor; -import org.apache.hadoop.io.Writable; -import org.datavec.api.writable.WritableFactory; - -import java.io.DataInput; -import java.io.DataOutput; -import java.io.IOException; -import java.util.ArrayList; -import java.util.List; - -/** - * Created by Alex on 29/05/2017. - */ -@AllArgsConstructor -@NoArgsConstructor -@Data -public class RecordWritable implements Writable { - private List record; - - @Override - public void write(DataOutput out) throws IOException { - WritableFactory wf = WritableFactory.getInstance(); - out.writeInt(record.size()); - for (org.datavec.api.writable.Writable w : record) { - wf.writeWithType(w, out); - } - } - - @Override - public void readFields(DataInput in) throws IOException { - WritableFactory wf = WritableFactory.getInstance(); - int numRecords = in.readInt(); - - record = new ArrayList<>(numRecords); - for (int i = 0; i < numRecords; i++) { - record.add(wf.readWithType(in)); - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/record/SequenceRecordWritable.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/record/SequenceRecordWritable.java deleted file mode 100644 index 1511de990..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/reader/mapfile/record/SequenceRecordWritable.java +++ /dev/null @@ -1,82 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader.mapfile.record; - -import lombok.AllArgsConstructor; -import lombok.Data; -import lombok.NoArgsConstructor; -import org.apache.hadoop.io.Writable; -import org.datavec.api.writable.WritableFactory; - -import java.io.DataInput; -import java.io.DataOutput; -import java.io.IOException; -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; - -/** - * Created by Alex on 29/05/2017. - */ -@AllArgsConstructor -@NoArgsConstructor -@Data -public class SequenceRecordWritable implements Writable { - private List> sequenceRecord; - - @Override - public void write(DataOutput out) throws IOException { - WritableFactory wf = WritableFactory.getInstance(); - //Assumption: each step in each record is the same size - out.writeInt(sequenceRecord.size()); - if (sequenceRecord.size() > 0) { - int valuesPerStep = sequenceRecord.get(0).size(); - out.writeInt(valuesPerStep); - - for (List step : sequenceRecord) { - if (step.size() != valuesPerStep) { - throw new IllegalStateException( - "Number of values per time step vary: " + valuesPerStep + " vs. " + step.size()); - } - for (org.datavec.api.writable.Writable w : step) { - wf.writeWithType(w, out); - } - } - } - } - - @Override - public void readFields(DataInput in) throws IOException { - WritableFactory wf = WritableFactory.getInstance(); - int numSteps = in.readInt(); - if (numSteps > 0) { - int valuesPerStep = in.readInt(); - List> out = new ArrayList<>(numSteps); - - for (int i = 0; i < numSteps; i++) { - List currStep = new ArrayList<>(valuesPerStep); - for (int j = 0; j < valuesPerStep; j++) { - currStep.add(wf.readWithType(in)); - } - out.add(currStep); - } - sequenceRecord = out; - } else { - sequenceRecord = Collections.emptyList(); - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/AbstractMapFileWriter.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/AbstractMapFileWriter.java deleted file mode 100644 index b87db7101..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/AbstractMapFileWriter.java +++ /dev/null @@ -1,280 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.writer.mapfile; - -import lombok.NonNull; -import org.apache.hadoop.fs.Path; -import org.apache.hadoop.io.MapFile; -import org.apache.hadoop.io.SequenceFile; -import org.apache.hadoop.io.WritableComparable; -import org.datavec.api.conf.Configuration; -import org.datavec.api.split.partition.PartitionMetaData; -import org.datavec.api.writable.*; - -import java.io.File; -import java.io.IOException; -import java.util.ArrayList; -import java.util.List; -import java.util.concurrent.atomic.AtomicBoolean; -import java.util.concurrent.atomic.AtomicLong; - -/** - * An abstract class For creating Hadoop map files, that underlies {@link MapFileRecordWriter} and - * {@link MapFileSequenceRecordWriter}. - * - * @author Alex Black - */ -public abstract class AbstractMapFileWriter { - - public static final String DEFAULT_FILENAME_PATTERN = "part-r-%1$05d"; - public static final Class KEY_CLASS = org.apache.hadoop.io.LongWritable.class; - - /** - * Configuration key for the map file interval. - * This is defined in MapFile.Writer.INDEX_INTERVAL but unfortunately that field is private, hence cannot be - * referenced here. - */ - public static final String MAP_FILE_INDEX_INTERVAL_KEY = "io.map.index.interval"; - - public static final int DEFAULT_MAP_FILE_SPLIT_SIZE = -1; - public static final int DEFAULT_INDEX_INTERVAL = 1; - - protected final File outputDir; - protected final int mapFileSplitSize; - protected final WritableType convertTextTo; - protected final int indexInterval; - protected final String filenamePattern; - protected org.apache.hadoop.conf.Configuration hadoopConfiguration; - - protected final AtomicLong counter = new AtomicLong(); - protected final AtomicBoolean isClosed = new AtomicBoolean(); - - protected List outputFiles = new ArrayList<>(); - protected List writers = new ArrayList<>(); - - - - protected SequenceFile.Writer.Option[] opts; - - - /** - * Constructor for all default values. Single output MapFile, no text writable conversion, default index - * interval (1), default naming pattern. - * - * @param outputDir Output directory for the map file(s) - */ - public AbstractMapFileWriter(File outputDir) { - this(outputDir, DEFAULT_MAP_FILE_SPLIT_SIZE); - } - - /** - * - * Constructor for most default values. Specified number of output MapFile s, no text writable conversion, default - * index interval (1), default naming pattern. - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize. - * This can be used to avoid having a single multi gigabyte map file, which may be - * undesirable in some cases (transfer across the network, for example) - */ - public AbstractMapFileWriter(@NonNull File outputDir, int mapFileSplitSize) { - this(outputDir, mapFileSplitSize, null); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - */ - public AbstractMapFileWriter(@NonNull File outputDir, WritableType convertTextTo) { - this(outputDir, DEFAULT_MAP_FILE_SPLIT_SIZE, convertTextTo); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize. - * This can be used to avoid having a single multi gigabyte map file, which may be - * undesirable in some cases (transfer across the network, for example) - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - */ - public AbstractMapFileWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo) { - this(outputDir, mapFileSplitSize, convertTextTo, DEFAULT_INDEX_INTERVAL, new org.apache.hadoop.conf.Configuration()); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize. - * This can be used to avoid having a single multi gigabyte map file, which may be - * undesirable in some cases (transfer across the network, for example) - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param indexInterval Index interval for the Map file. Defaults to 1, which is suitable for most cases - * @param hadoopConfiguration Hadoop configuration. - */ - public AbstractMapFileWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - int indexInterval, org.apache.hadoop.conf.Configuration hadoopConfiguration) { - this(outputDir, mapFileSplitSize, convertTextTo, indexInterval, DEFAULT_FILENAME_PATTERN, hadoopConfiguration); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize. - * This can be used to avoid having a single multi gigabyte map file, which may be - * undesirable in some cases (transfer across the network, for example) - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param indexInterval Index interval for the Map file. Defaults to 1, which is suitable for most cases - * @param filenamePattern The naming pattern for the map files. Used with String.format(pattern, int) - * @param hadoopConfiguration Hadoop configuration. - */ - public AbstractMapFileWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - int indexInterval, String filenamePattern, - org.apache.hadoop.conf.Configuration hadoopConfiguration) { - if(indexInterval <= 0){ - throw new UnsupportedOperationException("Index interval: must be >= 0 (got: " + indexInterval + ")"); - } - this.outputDir = outputDir; - this.mapFileSplitSize = mapFileSplitSize; - if (convertTextTo == WritableType.Text) { - convertTextTo = null; - } - this.convertTextTo = convertTextTo; - this.indexInterval = indexInterval; - this.filenamePattern = filenamePattern; - - this.hadoopConfiguration = hadoopConfiguration; - if(this.hadoopConfiguration.get(MAP_FILE_INDEX_INTERVAL_KEY) != null){ - this.hadoopConfiguration.set(MAP_FILE_INDEX_INTERVAL_KEY, String.valueOf(indexInterval)); - } - - opts = new SequenceFile.Writer.Option[]{MapFile.Writer.keyClass(KEY_CLASS), - SequenceFile.Writer.valueClass(getValueClass())}; - - } - - protected abstract Class getValueClass(); - - - public void setConf(Configuration conf) { - - } - - - public Configuration getConf() { - return null; - } - - protected abstract org.apache.hadoop.io.Writable getHadoopWritable(T input); - - protected List convertTextWritables(List record) { - List newList; - if (convertTextTo != null) { - newList = new ArrayList<>(record.size()); - for (Writable writable : record) { - Writable newWritable; - if (writable.getType() == WritableType.Text) { - switch (convertTextTo) { - case Byte: - newWritable = new ByteWritable((byte) writable.toInt()); - break; - case Double: - newWritable = new DoubleWritable(writable.toDouble()); - break; - case Float: - newWritable = new FloatWritable(writable.toFloat()); - break; - case Int: - newWritable = new IntWritable(writable.toInt()); - break; - case Long: - newWritable = new org.datavec.api.writable.LongWritable(writable.toLong()); - break; - default: - throw new UnsupportedOperationException("Cannot convert text to: " + convertTextTo); - } - } else { - newWritable = writable; - } - newList.add(newWritable); - } - } else { - newList = record; - } - - return newList; - } - - public PartitionMetaData write(T record) throws IOException { - if (isClosed.get()) { - throw new UnsupportedOperationException("Cannot write to MapFileRecordReader that has already been closed"); - } - - if (counter.get() == 0) { - //Initialize first writer - String filename = String.format(DEFAULT_FILENAME_PATTERN, 0); - outputFiles.add(new File(outputDir, filename)); - writers.add(new MapFile.Writer(hadoopConfiguration, new Path(outputFiles.get(0).getAbsolutePath()), opts)); - } - - long key = counter.getAndIncrement(); - MapFile.Writer w; - if (mapFileSplitSize <= 0) { - w = writers.get(0); - } else { - int splitIdx = (int) (key / mapFileSplitSize); - if (writers.size() <= splitIdx) { - //Initialize new writer - next split - String filename = String.format(DEFAULT_FILENAME_PATTERN, splitIdx); - outputFiles.add(new File(outputDir, filename)); - writers.add(new MapFile.Writer(hadoopConfiguration, new Path(outputFiles.get(splitIdx).getAbsolutePath()), opts)); - } - w = writers.get(splitIdx); - } - - org.apache.hadoop.io.Writable hadoopWritable = getHadoopWritable(record); - - w.append(new org.apache.hadoop.io.LongWritable(key), hadoopWritable); - - return PartitionMetaData.builder().numRecordsUpdated(1).build(); - } - - - public void close() { - try { - for (MapFile.Writer w : writers) { - w.close(); - } - } catch (Exception e) { - throw new RuntimeException(e); - } finally { - isClosed.set(true); - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/MapFileRecordWriter.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/MapFileRecordWriter.java deleted file mode 100644 index bf0479805..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/MapFileRecordWriter.java +++ /dev/null @@ -1,184 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.writer.mapfile; - -import lombok.NonNull; -import org.datavec.api.conf.Configuration; -import org.datavec.api.records.writer.RecordWriter; -import org.datavec.api.split.InputSplit; -import org.datavec.api.split.partition.PartitionMetaData; -import org.datavec.api.split.partition.Partitioner; -import org.datavec.api.writable.Writable; -import org.datavec.api.writable.WritableType; -import org.datavec.hadoop.records.reader.mapfile.record.RecordWritable; - -import java.io.File; -import java.io.IOException; -import java.util.List; - -/** - * MapFileRecordWriter is used to write values to a Hadoop MapFile, that can then be read by: - * {@link org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader} - * - * @author Alex Black - * @see org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader - */ -public class MapFileRecordWriter extends AbstractMapFileWriter> implements RecordWriter { - - /** - * Constructor for all default values. Single output MapFile, no text writable conversion, default index - * interval (1), default naming pattern. - * - * @param outputDir Output directory for the map file(s) - */ - public MapFileRecordWriter(File outputDir) { - super(outputDir); - } - - /** - * - * Constructor for most default values. Specified number of output MapFile s, no text writable conversion, default - * index interval (1), default naming pattern. - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - */ - public MapFileRecordWriter(@NonNull File outputDir, int mapFileSplitSize){ - this(outputDir, mapFileSplitSize, null); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - */ - public MapFileRecordWriter(@NonNull File outputDir, WritableType convertTextTo) { - this(outputDir, DEFAULT_MAP_FILE_SPLIT_SIZE, convertTextTo); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - */ - public MapFileRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo) { - super(outputDir, mapFileSplitSize, convertTextTo); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param hadoopConfiguration Hadoop configuration. - */ - public MapFileRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - org.apache.hadoop.conf.Configuration hadoopConfiguration) { - super(outputDir, mapFileSplitSize, convertTextTo, DEFAULT_INDEX_INTERVAL, hadoopConfiguration); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param indexInterval Index interval for the Map file. Defaults to 1, which is suitable for most cases - * @param hadoopConfiguration Hadoop configuration. - */ - public MapFileRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - int indexInterval, org.apache.hadoop.conf.Configuration hadoopConfiguration) { - super(outputDir, mapFileSplitSize, convertTextTo, indexInterval, hadoopConfiguration); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param indexInterval Index interval for the Map file. Defaults to 1, which is suitable for most cases - * @param filenamePattern The naming pattern for the map files. Used with String.format(pattern, int) - * @param hadoopConfiguration Hadoop configuration. - */ - public MapFileRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - int indexInterval, String filenamePattern, - org.apache.hadoop.conf.Configuration hadoopConfiguration) { - super(outputDir, mapFileSplitSize, convertTextTo, indexInterval, filenamePattern, hadoopConfiguration); - } - - @Override - protected Class getValueClass() { - return RecordWritable.class; - } - - @Override - protected org.apache.hadoop.io.Writable getHadoopWritable(List input) { - if(convertTextTo != null){ - input = convertTextWritables(input); - } - - return new RecordWritable(input); - } - - @Override - public boolean supportsBatch() { - return true; - } - - @Override - public void initialize(InputSplit inputSplit, Partitioner partitioner) throws Exception { - - } - - @Override - public void initialize(Configuration configuration, InputSplit split, Partitioner partitioner) throws Exception { - - } - - @Override - public PartitionMetaData writeBatch(List> batch) throws IOException { - for (List record : batch) { - write(record); - } - return PartitionMetaData.builder().numRecordsUpdated(batch.size()).build(); - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/MapFileSequenceRecordWriter.java b/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/MapFileSequenceRecordWriter.java deleted file mode 100644 index 878bd4348..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/main/java/org/datavec/hadoop/records/writer/mapfile/MapFileSequenceRecordWriter.java +++ /dev/null @@ -1,161 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.writer.mapfile; - -import lombok.NonNull; -import org.datavec.api.records.writer.SequenceRecordWriter; -import org.datavec.api.writable.Writable; -import org.datavec.api.writable.WritableType; -import org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable; - -import java.io.File; -import java.util.ArrayList; -import java.util.List; - -/** - * MapFileSequenceRecordWriter is used to write sequence values to a Hadoop MapFile, that can then be read by: - * {@link org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader} - * - * @author Alex Black - * @see org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader - */ -public class MapFileSequenceRecordWriter extends AbstractMapFileWriter>> implements SequenceRecordWriter { - - /** - * Constructor for all default values. Single output MapFile, no text writable conversion, default index - * interval (1), default naming pattern. - * - * @param outputDir Output directory for the map file(s) - */ - public MapFileSequenceRecordWriter(File outputDir) { - super(outputDir); - } - - /** - * - * Constructor for most default values. Specified number of output MapFile s, no text writable conversion, default - * index interval (1), default naming pattern. - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - */ - public MapFileSequenceRecordWriter(@NonNull File outputDir, int mapFileSplitSize){ - this(outputDir, mapFileSplitSize, null); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - */ - public MapFileSequenceRecordWriter(@NonNull File outputDir, WritableType convertTextTo) { - this(outputDir, DEFAULT_MAP_FILE_SPLIT_SIZE, convertTextTo); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - */ - public MapFileSequenceRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo) { - super(outputDir, mapFileSplitSize, convertTextTo); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param hadoopConfiguration Hadoop configuration. - */ - public MapFileSequenceRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - org.apache.hadoop.conf.Configuration hadoopConfiguration) { - super(outputDir, mapFileSplitSize, convertTextTo, DEFAULT_INDEX_INTERVAL, hadoopConfiguration); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param indexInterval Index interval for the Map file. Defaults to 1, which is suitable for most cases - * @param hadoopConfiguration Hadoop configuration. - */ - public MapFileSequenceRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - int indexInterval, org.apache.hadoop.conf.Configuration hadoopConfiguration) { - super(outputDir, mapFileSplitSize, convertTextTo, indexInterval, hadoopConfiguration); - } - - /** - * - * @param outputDir Output directory for the map file(s) - * @param mapFileSplitSize Split size for the map file: if 0, use a single map file for all output. If > 0, - * multiple map files will be used: each will contain a maximum of mapFileSplitSize - * examples. This can be used to avoid having a single multi gigabyte map file, which may - * be undesirable in some cases (transfer across the network, for example). - * @param convertTextTo If null: Make no changes to Text writable objects. If non-null, Text writable instances - * will be converted to this type. This is useful, when would rather store numerical values - * even if the original record reader produces strings/text. - * @param indexInterval Index interval for the Map file. Defaults to 1, which is suitable for most cases - * @param filenamePattern The naming pattern for the map files. Used with String.format(pattern, int) - * @param hadoopConfiguration Hadoop configuration. - */ - public MapFileSequenceRecordWriter(@NonNull File outputDir, int mapFileSplitSize, WritableType convertTextTo, - int indexInterval, String filenamePattern, - org.apache.hadoop.conf.Configuration hadoopConfiguration) { - super(outputDir, mapFileSplitSize, convertTextTo, indexInterval, filenamePattern, hadoopConfiguration); - } - - @Override - protected Class getValueClass() { - return SequenceRecordWritable.class; - } - - @Override - protected org.apache.hadoop.io.Writable getHadoopWritable(List> input) { - if(convertTextTo != null){ - List> newSeq = new ArrayList<>(input.size()); - for(List l : input){ - newSeq.add(convertTextWritables(l)); - } - input = newSeq; - } - - return new SequenceRecordWritable(input); - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/AssertTestsExtendBaseClass.java b/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/AssertTestsExtendBaseClass.java deleted file mode 100644 index 7464b95b6..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/AssertTestsExtendBaseClass.java +++ /dev/null @@ -1,49 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ -package org.datavec.hadoop; - -import lombok.extern.slf4j.Slf4j; -import org.nd4j.common.tests.AbstractAssertTestsClass; -import org.nd4j.common.tests.BaseND4JTest; - -import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - -@Slf4j -public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { - - @Override - protected Set> getExclusions() { - //Set of classes that are exclusions to the rule (either run manually or have their own logging + timeouts) - return new HashSet<>(); - } - - @Override - protected String getPackageName() { - return "org.datavec.hadoop"; - } - - @Override - protected Class getBaseClass() { - return BaseND4JTest.class; - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/conf/TestConfigurationUtil.java b/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/conf/TestConfigurationUtil.java deleted file mode 100644 index f45f8e505..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/conf/TestConfigurationUtil.java +++ /dev/null @@ -1,37 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.conf; - -import org.apache.hadoop.conf.Configuration; -import org.junit.Test; - -public class TestConfigurationUtil { - - @Test - public void testLoadHadoopConfFiles() { - - // this would come from the properties file - String confPath = "src/test/resources/conf/example_conf/"; - - Configuration conf = ConfigurationUtil.generateConfig(confPath); - - System.out.println(" works? " + conf.get("fs.default.name")); - - - } - -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReader.java b/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReader.java deleted file mode 100644 index 2402150fe..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReader.java +++ /dev/null @@ -1,247 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader; - -import org.nd4j.common.util.MathUtils; -import org.nd4j.shade.guava.io.Files; -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.fs.Path; -import org.apache.hadoop.io.*; -import org.datavec.api.records.reader.RecordReader; -import org.datavec.api.records.reader.SequenceRecordReader; -import org.datavec.api.split.FileSplit; -import org.datavec.api.split.InputSplit; -import org.datavec.api.writable.DoubleWritable; -import org.datavec.api.writable.IntWritable; -import org.datavec.api.writable.NDArrayWritable; -import org.datavec.api.writable.Text; -import org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader; -import org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader; -import org.datavec.hadoop.records.reader.mapfile.record.RecordWritable; -import org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable; -import org.junit.AfterClass; -import org.junit.BeforeClass; -import org.junit.Test; -import org.nd4j.linalg.factory.Nd4j; - -import java.io.File; -import java.io.IOException; -import java.lang.reflect.Field; -import java.net.URI; -import java.util.*; - -import static org.junit.Assert.*; - -/** - * Created by Alex on 29/05/2017. - */ -public class TestMapFileRecordReader { - - private static File tempDirSeq; - private static File tempDir; - private static Path seqMapFilePath; - private static Path mapFilePath; - private static Map seqMap; - private static Map recordMap; - - @BeforeClass - public static void buildMapFiles() throws IOException { - - //----- Sequence RR setup ----- - - Configuration c = new Configuration(); - Class keyClass = LongWritable.class; - Class valueClass = SequenceRecordWritable.class; - - SequenceFile.Writer.Option[] opts = new SequenceFile.Writer.Option[] {MapFile.Writer.keyClass(keyClass), - SequenceFile.Writer.valueClass(valueClass)}; - - tempDirSeq = Files.createTempDir(); - seqMapFilePath = new Path("file:///" + tempDirSeq.getAbsolutePath()); - - MapFile.Writer writer = new MapFile.Writer(c, seqMapFilePath, opts); - - seqMap = new HashMap<>(); - seqMap.put(new LongWritable(0), new SequenceRecordWritable(Arrays.asList( - Arrays.asList(new Text("zero"), new IntWritable(0), - new DoubleWritable(0), new NDArrayWritable(Nd4j.valueArrayOf(10, 0.0))), - Arrays.asList(new Text("one"), new IntWritable(1), - new DoubleWritable(1.0), new NDArrayWritable(Nd4j.valueArrayOf(10, 1.0))), - Arrays.asList(new Text("two"), new IntWritable(2), - new DoubleWritable(2.0), new NDArrayWritable(Nd4j.valueArrayOf(10, 2.0)))))); - - seqMap.put(new LongWritable(1), new SequenceRecordWritable(Arrays.asList( - Arrays.asList(new Text("Bzero"), new IntWritable(10), - new DoubleWritable(10), new NDArrayWritable(Nd4j.valueArrayOf(10, 10.0))), - Arrays.asList(new Text("Bone"), new IntWritable(11), - new DoubleWritable(11.0), new NDArrayWritable(Nd4j.valueArrayOf(10, 11.0))), - Arrays.asList(new Text("Btwo"), new IntWritable(12), - new DoubleWritable(12.0), new NDArrayWritable(Nd4j.valueArrayOf(10, 12.0)))))); - - seqMap.put(new LongWritable(2), new SequenceRecordWritable(Arrays.asList( - Arrays.asList(new Text("Czero"), new IntWritable(20), - new DoubleWritable(20), new NDArrayWritable(Nd4j.valueArrayOf(10, 20.0))), - Arrays.asList(new Text("Cone"), new IntWritable(21), - new DoubleWritable(21.0), new NDArrayWritable(Nd4j.valueArrayOf(10, 21.0))), - Arrays.asList(new Text("Ctwo"), new IntWritable(22), - new DoubleWritable(22.0), new NDArrayWritable(Nd4j.valueArrayOf(10, 22.0)))))); - - - //Need to write in order - for (int i = 0; i <= 2; i++) { - LongWritable key = new LongWritable(i); - SequenceRecordWritable value = seqMap.get(key); - - writer.append(key, value); - } - writer.close(); - - - //----- Standard RR setup ----- - - valueClass = RecordWritable.class; - - opts = new SequenceFile.Writer.Option[] {MapFile.Writer.keyClass(keyClass), - SequenceFile.Writer.valueClass(valueClass)}; - - tempDir = Files.createTempDir(); - mapFilePath = new Path("file:///" + tempDir.getAbsolutePath()); - - writer = new MapFile.Writer(c, mapFilePath, opts); - - recordMap = new HashMap<>(); - recordMap.put(new LongWritable(0), - new RecordWritable(Arrays.asList(new Text("zero"), - new IntWritable(0), new DoubleWritable(0), - new NDArrayWritable(Nd4j.valueArrayOf(10, 0.0))))); - - recordMap.put(new LongWritable(1), - new RecordWritable(Arrays.asList(new Text("one"), - new IntWritable(11), new DoubleWritable(11.0), - new NDArrayWritable(Nd4j.valueArrayOf(10, 11.0))))); - - recordMap.put(new LongWritable(2), - new RecordWritable(Arrays.asList(new Text("two"), - new IntWritable(22), new DoubleWritable(22.0), - new NDArrayWritable(Nd4j.valueArrayOf(10, 22.0))))); - - - //Need to write in order - for (int i = 0; i <= 2; i++) { - LongWritable key = new LongWritable(i); - RecordWritable value = recordMap.get(key); - - writer.append(key, value); - } - writer.close(); - - } - - @AfterClass - public static void destroyMapFiles() { - tempDirSeq.delete(); - tempDirSeq = null; - seqMapFilePath = null; - seqMap = null; - - tempDir.delete(); - tempDir = null; - mapFilePath = null; - seqMap = null; - } - - @Test - public void testSequenceRecordReader() throws Exception { - SequenceRecordReader seqRR = new MapFileSequenceRecordReader(); - URI uri = seqMapFilePath.toUri(); - InputSplit is = new FileSplit(new File(uri)); - seqRR.initialize(is); - - assertTrue(seqRR.hasNext()); - int count = 0; - while (seqRR.hasNext()) { - List> l = seqRR.sequenceRecord(); - - assertEquals(seqMap.get(new LongWritable(count)).getSequenceRecord(), l); - - count++; - } - assertEquals(seqMap.size(), count); - - seqRR.close(); - - //Try the same thing, but with random order - seqRR = new MapFileSequenceRecordReader(new Random(12345)); - seqRR.initialize(is); - - Field f = MapFileSequenceRecordReader.class.getDeclaredField("order"); - f.setAccessible(true); - int[] order = (int[]) f.get(seqRR); - assertNotNull(order); - int[] expOrder = new int[]{0,1,2}; - MathUtils.shuffleArray(expOrder, new Random(12345)); - assertArrayEquals(expOrder, order); - - count = 0; - while (seqRR.hasNext()) { - List> l = seqRR.sequenceRecord(); - assertEquals(seqMap.get(new LongWritable(expOrder[count])).getSequenceRecord(), l); - count++; - } - } - - @Test - public void testRecordReader() throws Exception { - RecordReader rr = new MapFileRecordReader(); - URI uri = mapFilePath.toUri(); - InputSplit is = new FileSplit(new File(uri)); - rr.initialize(is); - - assertTrue(rr.hasNext()); - int count = 0; - while (rr.hasNext()) { - List l = rr.next(); - - assertEquals(recordMap.get(new LongWritable(count)).getRecord(), l); - - count++; - } - assertEquals(recordMap.size(), count); - - rr.close(); - - //Try the same thing, but with random order - rr = new MapFileRecordReader(new Random(12345)); - rr.initialize(is); - - Field f = MapFileRecordReader.class.getDeclaredField("order"); - f.setAccessible(true); - int[] order = (int[]) f.get(rr); - assertNotNull(order); - - int[] expOrder = new int[]{0,1,2}; - MathUtils.shuffleArray(expOrder, new Random(12345)); - assertArrayEquals(expOrder, order); - - count = 0; - while (rr.hasNext()) { - List l = rr.next(); - assertEquals(recordMap.get(new LongWritable(expOrder[count])).getRecord(), l); - count++; - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReaderMultipleParts.java b/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReaderMultipleParts.java deleted file mode 100644 index ad42a0dfb..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReaderMultipleParts.java +++ /dev/null @@ -1,298 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader; - -import org.nd4j.common.primitives.Pair; -import org.nd4j.common.util.MathUtils; -import org.nd4j.shade.guava.io.Files; -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.fs.Path; -import org.apache.hadoop.io.*; -import org.datavec.api.records.reader.RecordReader; -import org.datavec.api.records.reader.SequenceRecordReader; -import org.datavec.api.split.FileSplit; -import org.datavec.api.split.InputSplit; -import org.datavec.api.writable.DoubleWritable; -import org.datavec.api.writable.IntWritable; -import org.datavec.api.writable.Text; -import org.datavec.hadoop.records.reader.mapfile.IndexToKey; -import org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader; -import org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader; -import org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey; -import org.datavec.hadoop.records.reader.mapfile.record.RecordWritable; -import org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable; -import org.junit.AfterClass; -import org.junit.BeforeClass; -import org.junit.Test; - -import java.io.File; -import java.io.IOException; -import java.lang.reflect.Field; -import java.net.URI; -import java.util.*; - -import static org.junit.Assert.*; - -/** - * Basically the same as TestMapfileRecordReader, but we have multiple parts as per say a Spark save operation - * Paths are like - * /part-r-00000/data - * /part-r-00000/index - * /part-r-00001/data - * /part-r-00001/index - * /part-r-00002/data - * /part-r-00002/index - */ -public class TestMapFileRecordReaderMultipleParts { - - private static File tempDirSeq; - private static File tempDir; - private static Path seqMapFilePath; - private static Path mapFilePath; - private static Map seqMap; - private static Map recordMap; - - @BeforeClass - public static void buildMapFiles() throws IOException { - - //----- Sequence RR setup ----- - - Configuration c = new Configuration(); - Class keyClass = LongWritable.class; - Class valueClass = SequenceRecordWritable.class; - - SequenceFile.Writer.Option[] opts = new SequenceFile.Writer.Option[] {MapFile.Writer.keyClass(keyClass), - SequenceFile.Writer.valueClass(valueClass)}; - - tempDirSeq = Files.createTempDir(); - File[] subdirs = new File[3]; - Path[] paths = new Path[subdirs.length]; - MapFile.Writer[] writers = new MapFile.Writer[subdirs.length]; - for (int i = 0; i < subdirs.length; i++) { - subdirs[i] = new File(tempDirSeq, "part-r-0000" + i); - subdirs[i].mkdir(); - paths[i] = new Path("file:///" + subdirs[i].getAbsolutePath()); - writers[i] = new MapFile.Writer(c, paths[i], opts); - } - seqMapFilePath = new Path("file:///" + tempDirSeq.getAbsolutePath()); - - - - seqMap = new HashMap<>(); - - for (int i = 0; i < 9; i++) { - seqMap.put(new LongWritable(i), new SequenceRecordWritable(Arrays.asList( - Arrays.asList(new Text(i + "-0"), new IntWritable(3 * i), - new DoubleWritable(3 * i)), - Arrays.asList(new Text(i + "-1"), - new IntWritable(3 * i + 1), new DoubleWritable(3 * i + 1.0)), - Arrays.asList(new Text(i + "-2"), - new IntWritable(3 * i + 2), new DoubleWritable(3 * i + 2.0))))); - } - - - //Need to write in order, to different map files separately - for (int i = 0; i < seqMap.size(); i++) { - int mapFileIdx = i / writers.length; - - LongWritable key = new LongWritable(i); - SequenceRecordWritable value = seqMap.get(key); - - writers[mapFileIdx].append(key, value); - } - - for (MapFile.Writer m : writers) { - m.close(); - } - - - //----- Standard RR setup ----- - - valueClass = RecordWritable.class; - - opts = new SequenceFile.Writer.Option[] {MapFile.Writer.keyClass(keyClass), - SequenceFile.Writer.valueClass(valueClass)}; - - tempDir = Files.createTempDir(); - subdirs = new File[3]; - paths = new Path[subdirs.length]; - writers = new MapFile.Writer[subdirs.length]; - for (int i = 0; i < subdirs.length; i++) { - subdirs[i] = new File(tempDir, "part-r-0000" + i); - subdirs[i].mkdir(); - paths[i] = new Path("file:///" + subdirs[i].getAbsolutePath()); - writers[i] = new MapFile.Writer(c, paths[i], opts); - } - mapFilePath = new Path("file:///" + tempDir.getAbsolutePath()); - - recordMap = new HashMap<>(); - for (int i = 0; i < 9; i++) { - recordMap.put(new LongWritable(i), new RecordWritable(Arrays.asList( - new Text(String.valueOf(i)), new IntWritable(i), new DoubleWritable(i)))); - } - - - //Need to write in order - for (int i = 0; i < recordMap.size(); i++) { - int mapFileIdx = i / writers.length; - LongWritable key = new LongWritable(i); - RecordWritable value = recordMap.get(key); - - writers[mapFileIdx].append(key, value); - } - - for (MapFile.Writer m : writers) { - m.close(); - } - - } - - @AfterClass - public static void destroyMapFiles() { - tempDirSeq.delete(); - tempDirSeq = null; - seqMapFilePath = null; - seqMap = null; - - tempDir.delete(); - tempDir = null; - mapFilePath = null; - seqMap = null; - } - - @Test - public void testSequenceRecordReader() throws Exception { - SequenceRecordReader seqRR = new MapFileSequenceRecordReader(); - URI uri = seqMapFilePath.toUri(); - InputSplit is = new FileSplit(new File(uri)); - seqRR.initialize(is); - - //Check number of records calculation - Field f = MapFileSequenceRecordReader.class.getDeclaredField("indexToKey"); - f.setAccessible(true); - IndexToKey itk = (IndexToKey) f.get(seqRR); - assertEquals(seqMap.size(), itk.getNumRecords()); - - //Check indices for each map file - List> expReaderExampleIdxs = new ArrayList<>(); - expReaderExampleIdxs.add(new Pair<>(0L, 2L)); - expReaderExampleIdxs.add(new Pair<>(3L, 5L)); - expReaderExampleIdxs.add(new Pair<>(6L, 8L)); - - f = LongIndexToKey.class.getDeclaredField("readerIndices"); - f.setAccessible(true); - assertEquals(expReaderExampleIdxs, f.get(itk)); - // System.out.println(f.get(itk)); - - //Check standard iteration order (no randomization) - assertTrue(seqRR.hasNext()); - int count = 0; - while (seqRR.hasNext()) { - List> l = seqRR.sequenceRecord(); - - assertEquals(seqMap.get(new LongWritable(count)).getSequenceRecord(), l); - - count++; - } - assertFalse(seqRR.hasNext()); - assertEquals(seqMap.size(), count); - - seqRR.close(); - - //Try the same thing, but with random order - seqRR = new MapFileSequenceRecordReader(new Random(12345)); - seqRR.initialize(is); - - //Check order is defined and as expected - f = MapFileSequenceRecordReader.class.getDeclaredField("order"); - f.setAccessible(true); - int[] order = (int[]) f.get(seqRR); - assertNotNull(order); - - int[] expOrder = new int[9]; - for (int i = 0; i < expOrder.length; i++) { - expOrder[i] = i; - } - MathUtils.shuffleArray(expOrder, new Random(12345)); - assertArrayEquals(expOrder, order); - // System.out.println(Arrays.toString(expOrder)); - - count = 0; - while (seqRR.hasNext()) { - List> l = seqRR.sequenceRecord(); - assertEquals(seqMap.get(new LongWritable(expOrder[count])).getSequenceRecord(), l); - count++; - } - } - - @Test - public void testRecordReaderMultipleParts() throws Exception { - RecordReader rr = new MapFileRecordReader(); - URI uri = mapFilePath.toUri(); - InputSplit is = new FileSplit(new File(uri)); - rr.initialize(is); - - //Check number of records calculation - Field f = MapFileRecordReader.class.getDeclaredField("indexToKey"); - f.setAccessible(true); - IndexToKey itk = (IndexToKey) f.get(rr); - assertEquals(seqMap.size(), itk.getNumRecords()); - - //Check indices for each map file - List> expReaderExampleIdxs = new ArrayList<>(); - expReaderExampleIdxs.add(new Pair<>(0L, 2L)); - expReaderExampleIdxs.add(new Pair<>(3L, 5L)); - expReaderExampleIdxs.add(new Pair<>(6L, 8L)); - - f = LongIndexToKey.class.getDeclaredField("readerIndices"); - f.setAccessible(true); - assertEquals(expReaderExampleIdxs, f.get(itk)); - - assertTrue(rr.hasNext()); - int count = 0; - while (rr.hasNext()) { - List l = rr.next(); - assertEquals(recordMap.get(new LongWritable(count)).getRecord(), l); - count++; - } - assertEquals(recordMap.size(), count); - - rr.close(); - - //Try the same thing, but with random order - rr = new MapFileRecordReader(new Random(12345)); - rr.initialize(is); - - f = MapFileRecordReader.class.getDeclaredField("order"); - f.setAccessible(true); - int[] order = (int[]) f.get(rr); - assertNotNull(order); - int[] expOrder = new int[9]; - for (int i = 0; i < expOrder.length; i++) { - expOrder[i] = i; - } - MathUtils.shuffleArray(expOrder, new Random(12345)); - assertArrayEquals(expOrder, order); - - count = 0; - while (rr.hasNext()) { - List l = rr.next(); - assertEquals(recordMap.get(new LongWritable(expOrder[count])).getRecord(), l); - count++; - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReaderMultiplePartsSomeEmpty.java b/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReaderMultiplePartsSomeEmpty.java deleted file mode 100644 index c56cc054a..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/reader/TestMapFileRecordReaderMultiplePartsSomeEmpty.java +++ /dev/null @@ -1,309 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.reader; - -import org.nd4j.common.primitives.Pair; -import org.nd4j.common.util.MathUtils; -import org.nd4j.shade.guava.io.Files; -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.fs.Path; -import org.apache.hadoop.io.*; -import org.datavec.api.records.reader.RecordReader; -import org.datavec.api.records.reader.SequenceRecordReader; -import org.datavec.api.split.FileSplit; -import org.datavec.api.split.InputSplit; -import org.datavec.api.writable.DoubleWritable; -import org.datavec.api.writable.IntWritable; -import org.datavec.api.writable.Text; -import org.datavec.hadoop.records.reader.mapfile.IndexToKey; -import org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader; -import org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader; -import org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey; -import org.datavec.hadoop.records.reader.mapfile.record.RecordWritable; -import org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable; -import org.junit.AfterClass; -import org.junit.BeforeClass; -import org.junit.Test; - -import java.io.File; -import java.io.IOException; -import java.lang.reflect.Field; -import java.net.URI; -import java.util.*; - -import static org.junit.Assert.*; - -/** - * Basically the same as TestMapfileRecordReader, but we have multiple parts as per say a Spark save operation - * Paths are like - * /part-r-00000/data - * /part-r-00000/index - * /part-r-00001/data - * /part-r-00001/index - * /part-r-00002/data - * /part-r-00002/index - */ -public class TestMapFileRecordReaderMultiplePartsSomeEmpty { - - private static File tempDirSeq; - private static File tempDir; - private static Path seqMapFilePath; - private static Path mapFilePath; - private static Map seqMap; - private static Map recordMap; - - @BeforeClass - public static void buildMapFiles() throws IOException { - - //----- Sequence RR setup ----- - - Configuration c = new Configuration(); - Class keyClass = LongWritable.class; - Class valueClass = SequenceRecordWritable.class; - - SequenceFile.Writer.Option[] opts = new SequenceFile.Writer.Option[] {MapFile.Writer.keyClass(keyClass), - SequenceFile.Writer.valueClass(valueClass)}; - - tempDirSeq = Files.createTempDir(); - File[] subdirs = new File[3]; - Path[] paths = new Path[subdirs.length]; - MapFile.Writer[] writers = new MapFile.Writer[subdirs.length]; - for (int i = 0; i < subdirs.length; i++) { - subdirs[i] = new File(tempDirSeq, "part-r-0000" + i); - subdirs[i].mkdir(); - paths[i] = new Path("file:///" + subdirs[i].getAbsolutePath()); - writers[i] = new MapFile.Writer(c, paths[i], opts); - } - seqMapFilePath = new Path("file:///" + tempDirSeq.getAbsolutePath()); - - - - seqMap = new HashMap<>(); - - for (int i = 0; i < 6; i++) { - seqMap.put(new LongWritable(i), new SequenceRecordWritable(Arrays.asList( - Arrays.asList(new Text(i + "-0"), new IntWritable(3 * i), - new DoubleWritable(3 * i)), - Arrays.asList(new Text(i + "-1"), - new IntWritable(3 * i + 1), new DoubleWritable(3 * i + 1.0)), - Arrays.asList(new Text(i + "-2"), - new IntWritable(3 * i + 2), new DoubleWritable(3 * i + 2.0))))); - } - - - //Need to write in order, to different map files separately - for (int i = 0; i < seqMap.size(); i++) { - int mapFileIdx; - if(i < 3){ - mapFileIdx = 0; - } else { - mapFileIdx = 2; - } - - LongWritable key = new LongWritable(i); - SequenceRecordWritable value = seqMap.get(key); - - writers[mapFileIdx].append(key, value); - } - - for (MapFile.Writer m : writers) { - m.close(); - } - - - //----- Standard RR setup ----- - - valueClass = RecordWritable.class; - - opts = new SequenceFile.Writer.Option[] {MapFile.Writer.keyClass(keyClass), - SequenceFile.Writer.valueClass(valueClass)}; - - tempDir = Files.createTempDir(); - subdirs = new File[3]; - paths = new Path[subdirs.length]; - writers = new MapFile.Writer[subdirs.length]; - for (int i = 0; i < subdirs.length; i++) { - subdirs[i] = new File(tempDir, "part-r-0000" + i); - subdirs[i].mkdir(); - paths[i] = new Path("file:///" + subdirs[i].getAbsolutePath()); - writers[i] = new MapFile.Writer(c, paths[i], opts); - } - mapFilePath = new Path("file:///" + tempDir.getAbsolutePath()); - - recordMap = new HashMap<>(); - for (int i = 0; i < 6; i++) { - recordMap.put(new LongWritable(i), new RecordWritable(Arrays.asList( - new Text(String.valueOf(i)), new IntWritable(i), new DoubleWritable(i)))); - } - - - //Need to write in order - for (int i = 0; i < recordMap.size(); i++) { - int mapFileIdx; - if(i < 3){ - mapFileIdx = 0; - } else { - mapFileIdx = 2; - } - - LongWritable key = new LongWritable(i); - RecordWritable value = recordMap.get(key); - - writers[mapFileIdx].append(key, value); - } - - for (MapFile.Writer m : writers) { - m.close(); - } - - } - - @AfterClass - public static void destroyMapFiles() { - tempDirSeq.delete(); - tempDirSeq = null; - seqMapFilePath = null; - seqMap = null; - -// tempDir.delete(); -// tempDir = null; -// mapFilePath = null; -// seqMap = null; - } - - @Test - public void testSequenceRecordReader() throws Exception { - SequenceRecordReader seqRR = new MapFileSequenceRecordReader(); - URI uri = seqMapFilePath.toUri(); - InputSplit is = new FileSplit(new File(uri)); - seqRR.initialize(is); - - //Check number of records calculation - Field f = MapFileSequenceRecordReader.class.getDeclaredField("indexToKey"); - f.setAccessible(true); - IndexToKey itk = (IndexToKey) f.get(seqRR); - assertEquals(seqMap.size(), itk.getNumRecords()); - - //Check indices for each map file - List> expReaderExampleIdxs = new ArrayList<>(); - expReaderExampleIdxs.add(new Pair<>(0L, 2L)); - expReaderExampleIdxs.add(new Pair<>(-1L, -1L)); - expReaderExampleIdxs.add(new Pair<>(3L, 5L)); - - f = LongIndexToKey.class.getDeclaredField("readerIndices"); - f.setAccessible(true); - assertEquals(expReaderExampleIdxs, f.get(itk)); - // System.out.println(f.get(itk)); - - //Check standard iteration order (no randomization) - assertTrue(seqRR.hasNext()); - int count = 0; - while (seqRR.hasNext()) { - List> l = seqRR.sequenceRecord(); - - assertEquals(seqMap.get(new LongWritable(count)).getSequenceRecord(), l); - - count++; - } - assertFalse(seqRR.hasNext()); - assertEquals(seqMap.size(), count); - - seqRR.close(); - - //Try the same thing, but with random order - seqRR = new MapFileSequenceRecordReader(new Random(12345)); - seqRR.initialize(is); - - //Check order is defined and as expected - f = MapFileSequenceRecordReader.class.getDeclaredField("order"); - f.setAccessible(true); - int[] order = (int[]) f.get(seqRR); - assertNotNull(order); - - int[] expOrder = new int[6]; - for (int i = 0; i < expOrder.length; i++) { - expOrder[i] = i; - } - MathUtils.shuffleArray(expOrder, new Random(12345)); - assertArrayEquals(expOrder, order); - // System.out.println(Arrays.toString(expOrder)); - - count = 0; - while (seqRR.hasNext()) { - List> l = seqRR.sequenceRecord(); - assertEquals(seqMap.get(new LongWritable(expOrder[count])).getSequenceRecord(), l); - count++; - } - } - - @Test - public void testRecordReaderMultipleParts() throws Exception { - RecordReader rr = new MapFileRecordReader(); - URI uri = mapFilePath.toUri(); - InputSplit is = new FileSplit(new File(uri)); - rr.initialize(is); - - //Check number of records calculation - Field f = MapFileRecordReader.class.getDeclaredField("indexToKey"); - f.setAccessible(true); - IndexToKey itk = (IndexToKey) f.get(rr); - assertEquals(recordMap.size(), itk.getNumRecords()); - - //Check indices for each map file - List> expReaderExampleIdxs = new ArrayList<>(); - expReaderExampleIdxs.add(new Pair<>(0L, 2L)); - expReaderExampleIdxs.add(new Pair<>(-1L, -1L)); //Empty - expReaderExampleIdxs.add(new Pair<>(3L, 5L)); - - f = LongIndexToKey.class.getDeclaredField("readerIndices"); - f.setAccessible(true); - assertEquals(expReaderExampleIdxs, f.get(itk)); - - assertTrue(rr.hasNext()); - int count = 0; - while (rr.hasNext()) { - List l = rr.next(); - assertEquals(recordMap.get(new LongWritable(count)).getRecord(), l); - count++; - } - assertEquals(recordMap.size(), count); - - rr.close(); - - //Try the same thing, but with random order - rr = new MapFileRecordReader(new Random(12345)); - rr.initialize(is); - - f = MapFileRecordReader.class.getDeclaredField("order"); - f.setAccessible(true); - int[] order = (int[]) f.get(rr); - assertNotNull(order); - int[] expOrder = new int[recordMap.size()]; - for (int i = 0; i < expOrder.length; i++) { - expOrder[i] = i; - } - MathUtils.shuffleArray(expOrder, new Random(12345)); - assertArrayEquals(expOrder, order); - - count = 0; - while (rr.hasNext()) { - List l = rr.next(); - assertEquals(recordMap.get(new LongWritable(expOrder[count])).getRecord(), l); - count++; - } - } -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/writer/TestMapFileRecordWriter.java b/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/writer/TestMapFileRecordWriter.java deleted file mode 100644 index c77c0898e..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/java/org/datavec/hadoop/records/writer/TestMapFileRecordWriter.java +++ /dev/null @@ -1,235 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.hadoop.records.writer; - -import org.nd4j.shade.guava.io.Files; -import org.datavec.api.records.converter.RecordReaderConverter; -import org.datavec.api.records.reader.RecordReader; -import org.datavec.api.records.reader.SequenceRecordReader; -import org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader; -import org.datavec.api.records.reader.impl.csv.CSVRecordReader; -import org.datavec.api.records.writer.RecordWriter; -import org.datavec.api.records.writer.SequenceRecordWriter; -import org.datavec.api.split.FileSplit; -import org.datavec.api.writable.FloatWritable; -import org.datavec.api.writable.Writable; -import org.datavec.api.writable.WritableType; -import org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader; -import org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader; -import org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter; -import org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter; -import org.junit.Test; -import org.nd4j.common.io.ClassPathResource; - -import java.io.File; -import java.util.ArrayList; -import java.util.List; - -import static org.junit.Assert.assertEquals; - -/** - * Created by Alex on 07/07/2017. - */ -public class TestMapFileRecordWriter { - - @Test - public void testWriter() throws Exception { - - for(boolean convertWritables : new boolean[]{false, true}) { - - File tempDirSingle = Files.createTempDir(); - File tempDirMultiple = Files.createTempDir(); - File tempDirBatch = Files.createTempDir(); - - tempDirSingle.deleteOnExit(); - tempDirMultiple.deleteOnExit(); - tempDirBatch.deleteOnExit(); - - WritableType textWritablesTo = convertWritables ? WritableType.Float : null; - - RecordWriter singlePartWriter = new MapFileRecordWriter(tempDirSingle, -1, textWritablesTo); - RecordWriter multiPartWriter = new MapFileRecordWriter(tempDirMultiple, 30, textWritablesTo); - RecordWriter multiPartBatch = new MapFileRecordWriter(tempDirBatch, 30, textWritablesTo); - - RecordReader rr = new CSVRecordReader(); - ClassPathResource cpr = new ClassPathResource("iris.dat"); - rr.initialize(new FileSplit(cpr.getFile())); - - RecordReaderConverter.convert(rr, singlePartWriter); - rr.reset(); - RecordReaderConverter.convert(rr, multiPartWriter); - - rr.reset(); - List> allLines = new ArrayList<>(); - while(rr.hasNext()){allLines.add(rr.next());} - multiPartBatch.writeBatch(allLines); - - singlePartWriter.close(); - multiPartWriter.close(); - multiPartBatch.close(); - - RecordReader rr1 = new MapFileRecordReader(); - RecordReader rr2 = new MapFileRecordReader(); - RecordReader rr3 = new MapFileRecordReader(); - rr1.initialize(new FileSplit(tempDirSingle)); - rr2.initialize(new FileSplit(tempDirMultiple)); - rr3.initialize(new FileSplit(tempDirBatch)); - - List> exp = new ArrayList<>(); - List> s1 = new ArrayList<>(); - List> s2 = new ArrayList<>(); - List> s3 = new ArrayList<>(); - - rr.reset(); - while (rr.hasNext()) { - exp.add(rr.next()); - } - - while (rr1.hasNext()) { - s1.add(rr1.next()); - } - - while (rr2.hasNext()) { - s2.add(rr2.next()); - } - - while (rr3.hasNext()) { - s3.add(rr3.next()); - } - - assertEquals(150, exp.size()); - - if(convertWritables){ - List> asFloat = new ArrayList<>(); - for(List l : exp ){ - List newList = new ArrayList<>(); - for(Writable w : l){ - newList.add(new FloatWritable(w.toFloat())); - } - asFloat.add(newList); - } - - exp = asFloat; - } - - assertEquals(exp, s1); - assertEquals(exp, s2); - assertEquals(exp, s3); - - - //By default: we won't be doing any conversion of text types. CsvRecordReader outputs Text writables - for (List l : s1) { - for (Writable w : l) { - if(convertWritables){ - assertEquals(WritableType.Float, w.getType()); - } else { - assertEquals(WritableType.Text, w.getType()); - } - } - } - } - } - - - @Test - public void testSequenceWriter() throws Exception { - - for(boolean convertWritables : new boolean[]{false, true}) { - - File tempDirSingle = Files.createTempDir(); - File tempDirMultiple = Files.createTempDir(); - - tempDirSingle.deleteOnExit(); - tempDirMultiple.deleteOnExit(); - - WritableType textWritablesTo = convertWritables ? WritableType.Float : null; - - SequenceRecordWriter singlePartWriter = new MapFileSequenceRecordWriter(tempDirSingle, -1, textWritablesTo); - SequenceRecordWriter multiPartWriter = new MapFileSequenceRecordWriter(tempDirMultiple, 10, textWritablesTo); - - SequenceRecordReader rr = new CSVNLinesSequenceRecordReader(5); - ClassPathResource cpr = new ClassPathResource("iris.dat"); - rr.initialize(new FileSplit(cpr.getFile())); - - RecordReaderConverter.convert(rr, singlePartWriter); - rr.reset(); - RecordReaderConverter.convert(rr, multiPartWriter); - - singlePartWriter.close(); - multiPartWriter.close(); - - SequenceRecordReader rr1 = new MapFileSequenceRecordReader(); - SequenceRecordReader rr2 = new MapFileSequenceRecordReader(); - rr1.initialize(new FileSplit(tempDirSingle)); - rr2.initialize(new FileSplit(tempDirMultiple)); - - List>> exp = new ArrayList<>(); - List>> s1 = new ArrayList<>(); - List>> s2 = new ArrayList<>(); - - rr.reset(); - while (rr.hasNext()) { - exp.add(rr.sequenceRecord()); - } - - while (rr1.hasNext()) { - s1.add(rr1.sequenceRecord()); - } - - while (rr2.hasNext()) { - s2.add(rr2.sequenceRecord()); - } - - assertEquals(150/5, exp.size()); - - if(convertWritables){ - List>> asFloat = new ArrayList<>(); - for(List> sequence : exp ){ - List> newSeq = new ArrayList<>(); - for(List step : sequence ){ - List newStep = new ArrayList<>(); - for(Writable w : step){ - newStep.add(new FloatWritable(w.toFloat())); - } - newSeq.add(newStep); - } - asFloat.add(newSeq); - } - exp = asFloat; - } - - assertEquals(exp, s1); - assertEquals(exp, s2); - - - //By default: we won't be doing any conversion of text types. CsvRecordReader outputs Text writables - for(List> seq : s1) { - for (List l : seq) { - for (Writable w : l) { - if (convertWritables) { - assertEquals(WritableType.Float, w.getType()); - } else { - assertEquals(WritableType.Text, w.getType()); - } - } - } - } - } - } - - -} diff --git a/datavec/datavec-data/datavec-hadoop/src/test/resources/log4j.properties b/datavec/datavec-data/datavec-hadoop/src/test/resources/log4j.properties deleted file mode 100644 index 00eaf12f4..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/resources/log4j.properties +++ /dev/null @@ -1,40 +0,0 @@ -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. -# -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ - -log4j.rootLogger=ERROR, Console -log4j.logger.play=DEBUG -log4j.appender.Console=org.apache.log4j.ConsoleAppender -log4j.appender.Console.layout=org.apache.log4j.PatternLayout -log4j.appender.Console.layout.ConversionPattern=%d{ABSOLUTE} %-5p ~ %m%n - -log4j.appender.org.springframework=DEBUG -log4j.appender.org.nd4j=INFO -log4j.appender.org.canova=INFO -log4j.appender.org.datavec=INFO -log4j.appender.org.deeplearning4j=INFO -log4j.appender.opennlp.uima=OFF -log4j.appender.org.apache.uima=OFF -log4j.appender.org.cleartk=OFF - -log4j.logger.org.springframework=INFO -log4j.logger.org.nd4j=INFO -log4j.logger.org.canova=INFO -log4j.logger.org.datavec=INFO -log4j.logger.org.apache.spark=WARN -log4j.logger.org.deeplearning4j=INFO -log4j.logger.opennlp.uima.util=OFF -log4j.logger.org.apache.uima=OFF -log4j.logger.org.cleartk=OFF \ No newline at end of file diff --git a/datavec/datavec-data/datavec-hadoop/src/test/resources/logback.xml b/datavec/datavec-data/datavec-hadoop/src/test/resources/logback.xml deleted file mode 100644 index 2087d615c..000000000 --- a/datavec/datavec-data/datavec-hadoop/src/test/resources/logback.xml +++ /dev/null @@ -1,49 +0,0 @@ - - - - - - logs/application.log - - %date - [%level] - from %logger in %thread - %n%message%n%xException%n - - - - - - %logger{15} - %message%n%xException{5} - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/datavec/datavec-data/pom.xml b/datavec/datavec-data/pom.xml index 2510924b8..233b85f9a 100644 --- a/datavec/datavec-data/pom.xml +++ b/datavec/datavec-data/pom.xml @@ -1,51 +1,63 @@ - + + + + + + 4.0.0 - - datavec-parent org.datavec + datavec-parent 1.0.0-SNAPSHOT - 4.0.0 datavec-data pom datavec-data - http://maven.apache.org + datavec-data-audio datavec-data-codec datavec-data-image datavec-data-nlp datavec-geo - datavec-hadoop - - UTF-8 - + + + + org.datavec + datavec-api + ${project.version} + + + org.nd4j nd4j-api - ${nd4j.version} @@ -57,5 +69,4 @@ test-nd4j-cuda-11.0 - diff --git a/datavec/datavec-excel/pom.xml b/datavec/datavec-excel/pom.xml index dc6d3d6b7..9b532ca1e 100644 --- a/datavec/datavec-excel/pom.xml +++ b/datavec/datavec-excel/pom.xml @@ -1,37 +1,40 @@ - + + + + - - - datavec-parent - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-parent + 1.0.0-SNAPSHOT + + datavec-excel - jar datavec-excel - - UTF-8 - - org.datavec @@ -44,20 +47,12 @@ poi ${poi.version} - org.apache.poi poi-ooxml ${poi.version} - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - diff --git a/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordReader.java b/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordReader.java index bbb4c3240..6925bc47d 100644 --- a/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordReader.java +++ b/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.poi.excel; @@ -34,21 +38,6 @@ import java.util.Iterator; import java.util.List; import java.util.NoSuchElementException; -/** - * Excel record reader for loading rows of an excel spreadsheet - * from multiple spreadsheets very similar to the - * {@link org.datavec.api.records.reader.impl.csv.CSVRecordReader} - * - * Of note when you have multiple sheets, you must have the same number of - * lines skipped at the top. For example, if you have a header as follows: - * Header1 Header2 Header3 - * 1 2 3 - * 4 5 6 - * - * Any other sheet you are trying to parse must also contain the - * same number of header lines. - * - */ public class ExcelRecordReader extends FileRecordReader { //originally from CSVRecordReader private boolean skippedLines = false; diff --git a/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordWriter.java b/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordWriter.java index 7afacc4cd..0b07c1ae7 100644 --- a/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordWriter.java +++ b/datavec/datavec-excel/src/main/java/org/datavec/poi/excel/ExcelRecordWriter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.poi.excel; diff --git a/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/AssertTestsExtendBaseClass.java b/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/AssertTestsExtendBaseClass.java index 6caac98a1..2a9ba30d9 100644 --- a/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.poi.excel; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordReaderTest.java b/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordReaderTest.java index fda21502f..12e0b97c8 100644 --- a/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordReaderTest.java +++ b/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.poi.excel; diff --git a/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordWriterTest.java b/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordWriterTest.java index a967fe8b6..ae132be87 100644 --- a/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordWriterTest.java +++ b/datavec/datavec-excel/src/test/java/org/datavec/poi/excel/ExcelRecordWriterTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.poi.excel; diff --git a/datavec/datavec-jdbc/pom.xml b/datavec/datavec-jdbc/pom.xml index 612fb05e7..39bd2cff1 100644 --- a/datavec/datavec-jdbc/pom.xml +++ b/datavec/datavec-jdbc/pom.xml @@ -1,29 +1,35 @@ - + + xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" + xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> + + 4.0.0 + - datavec-parent org.datavec + datavec-parent 1.0.0-SNAPSHOT - 4.0.0 datavec-jdbc @@ -39,32 +45,22 @@ datavec-api ${project.version} - commons-dbutils commons-dbutils ${dbutils.version} - com.zaxxer HikariCP-java7 ${hikaricp.version} - org.apache.derby derby ${derby.version} test - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - diff --git a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/metadata/RecordMetaDataJdbc.java b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/metadata/RecordMetaDataJdbc.java index b7489a187..70c1e898f 100644 --- a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/metadata/RecordMetaDataJdbc.java +++ b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/metadata/RecordMetaDataJdbc.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.jdbc.records.metadata; @@ -22,12 +26,6 @@ import java.util.List; import lombok.Getter; import org.datavec.api.records.metadata.RecordMetaData; -/** - * Record metadata to use with JDBCRecordReader. To uniquely identify and recover a record, we use a parameterized - * request which will be prepared with the values stored in the params attribute. - * - * @author Adrien Plagnol - */ public class RecordMetaDataJdbc implements RecordMetaData { private final URI uri; diff --git a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/reader/impl/jdbc/JDBCRecordReader.java b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/reader/impl/jdbc/JDBCRecordReader.java index 859026406..3ed660165 100644 --- a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/reader/impl/jdbc/JDBCRecordReader.java +++ b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/records/reader/impl/jdbc/JDBCRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.jdbc.records.reader.impl.jdbc; @@ -45,11 +49,6 @@ import org.datavec.jdbc.util.JdbcWritableConverter; import org.datavec.jdbc.util.ResettableResultSetIterator; import org.datavec.api.writable.Writable; -/** - * Iterate on rows from a JDBC datasource and return corresponding records - * - * @author Adrien Plagnol - */ public class JDBCRecordReader extends BaseRecordReader { private final String query; diff --git a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/JdbcWritableConverter.java b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/JdbcWritableConverter.java index d366c99ab..ae425bf4e 100644 --- a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/JdbcWritableConverter.java +++ b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/JdbcWritableConverter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.jdbc.util; @@ -28,11 +32,6 @@ import org.datavec.api.writable.NullWritable; import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; -/** - * Transform jdbc column data into Writable objects - * - * @author Adrien Plagnol - */ public class JdbcWritableConverter { public static Writable convert(final Object columnValue, final int columnType) { diff --git a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/ResettableResultSetIterator.java b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/ResettableResultSetIterator.java index a5f79d31c..ab2115ecc 100644 --- a/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/ResettableResultSetIterator.java +++ b/datavec/datavec-jdbc/src/main/java/org/datavec/jdbc/util/ResettableResultSetIterator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.jdbc.util; @@ -21,11 +25,6 @@ import java.sql.SQLException; import java.util.Iterator; import org.apache.commons.dbutils.ResultSetIterator; -/** - * Encapsulation of ResultSetIterator to allow resetting - * - * @author Adrien Plagnol - */ public class ResettableResultSetIterator implements Iterator { private ResultSet rs; diff --git a/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/AssertTestsExtendBaseClass.java b/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/AssertTestsExtendBaseClass.java index ac6c3e472..932a821cd 100644 --- a/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader; import lombok.extern.slf4j.Slf4j; @@ -20,14 +24,6 @@ import org.nd4j.common.tests.AbstractAssertTestsClass; import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/JDBCRecordReaderTest.java b/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/JDBCRecordReaderTest.java index 5b56e6408..ebd832dbc 100644 --- a/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/JDBCRecordReaderTest.java +++ b/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/JDBCRecordReaderTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; diff --git a/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/TestDb.java b/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/TestDb.java index 65c739be7..f42606680 100644 --- a/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/TestDb.java +++ b/datavec/datavec-jdbc/src/test/java/org/datavec/api/records/reader/impl/TestDb.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.api.records.reader.impl; @@ -20,9 +24,6 @@ import java.sql.Connection; import java.sql.SQLException; import java.sql.Statement; -/** - * Parts of this are from datavec-dataframe - */ public class TestDb { public static void dropTables(Connection conn) { diff --git a/datavec/datavec-local/pom.xml b/datavec/datavec-local/pom.xml index 06fd13fe2..195ed2cb4 100644 --- a/datavec/datavec-local/pom.xml +++ b/datavec/datavec-local/pom.xml @@ -1,49 +1,45 @@ - + + + + - - - datavec-parent - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-parent + 1.0.0-SNAPSHOT + + datavec-local - jar datavec-local - http://maven.apache.org - UTF-8 + 1.8 + 1.8 - - - - org.apache.maven.plugins - maven-compiler-plugin - - 1.8 - 1.8 - - - - + com.codepoetics @@ -63,7 +59,6 @@ org.nd4j nd4j-common - ${nd4j.version} org.datavec @@ -71,23 +66,12 @@ ${project.version} test - - - org.datavec datavec-python ${project.version} test - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/AnalyzeLocal.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/AnalyzeLocal.java index 2234c83f3..296c19373 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/AnalyzeLocal.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/AnalyzeLocal.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/BaseFlatMapFunctionAdaptee.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/BaseFlatMapFunctionAdaptee.java index 469d11a5a..9215b85eb 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/BaseFlatMapFunctionAdaptee.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/BaseFlatMapFunctionAdaptee.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; @@ -21,11 +25,6 @@ import org.datavec.local.transforms.functions.FlatMapFunctionAdapter; import java.util.List; -/** - * - * This class should be used instead of direct referral to FlatMapFunction - * - */ public class BaseFlatMapFunctionAdaptee { protected final FlatMapFunctionAdapter adapter; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformExecutor.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformExecutor.java index 95db743d5..1e2bc42ed 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformExecutor.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformExecutor.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; @@ -57,9 +61,6 @@ import java.util.stream.Collectors; import static java.util.stream.Collectors.toList; -/** - * Local transform executor - */ @Slf4j public class LocalTransformExecutor { //a boolean jvm argument that when the system property is true diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessRecordReader.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessRecordReader.java index a702a34d7..a097c041d 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessRecordReader.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; @@ -20,13 +24,6 @@ import org.datavec.api.records.reader.RecordReader; import org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader; import org.datavec.api.transform.TransformProcess; -/** - * A wrapper around the {@link TransformProcessRecordReader} - * that uses the {@link LocalTransformExecutor} - * instead of the {@link TransformProcess} methods. - * - * @author Adam Gibson - */ public class LocalTransformProcessRecordReader extends TransformProcessRecordReader { /** diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessSequenceRecordReader.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessSequenceRecordReader.java index 1eb4bf173..e2427b409 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessSequenceRecordReader.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/LocalTransformProcessSequenceRecordReader.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/SequenceEmptyRecordFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/SequenceEmptyRecordFunction.java index d0f521586..3dea4cd4e 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/SequenceEmptyRecordFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/SequenceEmptyRecordFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; @@ -21,11 +25,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Used for filtering empty records - * - * @author Adam Gibson - */ public class SequenceEmptyRecordFunction implements Function>, Boolean> { @Override public Boolean apply(List> v1) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisAddFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisAddFunction.java index 8b3a0e0dc..6e98f21b8 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisAddFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.analysis.aggregate; @@ -27,11 +31,6 @@ import org.nd4j.common.function.BiFunction; import java.util.ArrayList; import java.util.List; -/** - * Add function used for undertaking analysis of a data set via Spark - * - * @author Alex Black - */ @AllArgsConstructor public class AnalysisAddFunction implements BiFunction, List, List> { private Schema schema; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisCombineFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisCombineFunction.java index 2f8ad918f..7a0cd2048 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisCombineFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/aggregate/AnalysisCombineFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.analysis.aggregate; @@ -22,11 +26,6 @@ import org.nd4j.common.function.BiFunction; import java.util.ArrayList; import java.util.List; -/** - * Combine function used for undertaking analysis of a data set via Spark - * - * @author Alex Black - */ public class AnalysisCombineFunction implements BiFunction, List, List> { @Override diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramAddFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramAddFunction.java index 3b0bdb592..99e323c5a 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramAddFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.analysis.histogram; @@ -27,11 +31,6 @@ import org.nd4j.common.function.BiFunction; import java.util.ArrayList; import java.util.List; -/** - * An adder function used in the calculation of histograms - * - * @author Alex Black - */ @AllArgsConstructor public class HistogramAddFunction implements BiFunction, List, List> { private final int nBins; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramCombineFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramCombineFunction.java index bbdf924e8..68bf3c20f 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramCombineFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/analysis/histogram/HistogramCombineFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.analysis.histogram; @@ -22,11 +26,6 @@ import org.nd4j.common.function.BiFunction; import java.util.ArrayList; import java.util.List; -/** - * A combiner function used in the calculation of histograms - * - * @author Alex Black - */ public class HistogramCombineFunction implements BiFunction, List, List> { @Override diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/EmptyRecordFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/EmptyRecordFunction.java index 2ac4feea5..df68dce5e 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/EmptyRecordFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/EmptyRecordFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -21,11 +25,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Used for filtering empty records - * - * @author Adam Gibson - */ public class EmptyRecordFunction implements Function, Boolean> { @Override public Boolean apply(List v1) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/FlatMapFunctionAdapter.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/FlatMapFunctionAdapter.java index 8a318dada..9558125a6 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/FlatMapFunctionAdapter.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/FlatMapFunctionAdapter.java @@ -1,31 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; import java.io.Serializable; import java.util.List; -/** - * - * A function that returns zero or more output records from each input record. - * - * Adapter for function interface in order to - * freeze interface changes - */ public interface FlatMapFunctionAdapter extends Serializable { List call(T t) throws Exception; } diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/LineRecordReaderFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/LineRecordReaderFunction.java index b978d266e..042ac0cd0 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/LineRecordReaderFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/LineRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -23,12 +27,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * LineRecordReaderFunction: Used to map a {@code JavaRDD} to a {@code JavaRDD>} - * Note that this is most useful with LineRecordReader instances (CSVRecordReader, SVMLightRecordReader, etc) - * - * @author Alex Black - */ public class LineRecordReaderFunction implements Function> { private final RecordReader recordReader; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/RecordReaderFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/RecordReaderFunction.java index 4cd61f9c1..f3b1198f9 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/RecordReaderFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/RecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -28,11 +32,6 @@ import java.io.InputStream; import java.net.URI; import java.util.List; -/**RecordReaderFunction: Given a RecordReader and a file (via InputStream), load and parse the - * data into a Collection. - * NOTE: This is only useful for "one record per file" type situations (ImageRecordReader, etc) - * @author Alex Black - */ public class RecordReaderFunction implements Function, List> { protected RecordReader recordReader; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/SequenceRecordReaderFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/SequenceRecordReaderFunction.java index 1604ded5b..55df2c6b2 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/SequenceRecordReaderFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/SequenceRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -29,10 +33,6 @@ import java.io.InputStream; import java.net.URI; import java.util.List; -/**RecordReaderFunction: Given a SequenceRecordReader and a file(via InputStream), load and parse the - * sequence data into a {@code List>} - * @author Alex Black - */ @Slf4j public class SequenceRecordReaderFunction implements Function, List>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/FilesAsBytesFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/FilesAsBytesFunction.java index 64fd3acd8..43a80fd68 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/FilesAsBytesFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/FilesAsBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions.data; @@ -26,10 +30,6 @@ import org.nd4j.common.primitives.Pair; import java.io.IOException; import java.io.InputStream; -/**A PairFunction that simply loads bytes[] from a PortableDataStream, and wraps it (and the String key) - * in Text and BytesWritable respectively. - * @author Alex Black - */ public class FilesAsBytesFunction implements Function, Pair> { @Override public Pair apply(Pair in) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/RecordReaderBytesFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/RecordReaderBytesFunction.java index 1017dfb71..669a4571f 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/RecordReaderBytesFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/RecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions.data; @@ -29,10 +33,6 @@ import java.io.IOException; import java.net.URI; import java.util.List; -/**RecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data - * ({@code Collection}) using a RecordReader - * @author Alex Black - */ public class RecordReaderBytesFunction implements Function, List> { private final RecordReader recordReader; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/SequenceRecordReaderBytesFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/SequenceRecordReaderBytesFunction.java index bac1d7d59..80b8d6233 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/SequenceRecordReaderBytesFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/functions/data/SequenceRecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions.data; @@ -30,10 +34,6 @@ import java.io.IOException; import java.net.URI; import java.util.List; -/**SequenceRecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data - * ({@code List>}) using a SequenceRecordReader - * @author Alex Black - */ public class SequenceRecordReaderBytesFunction implements Function, List>> { private final SequenceRecordReader recordReader; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunction.java index 4fbe0812a..4d2740194 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.join; @@ -23,11 +27,6 @@ import org.nd4j.common.primitives.Pair; import java.util.List; -/** - * Execute a join - * - * @author Alex Black - */ public class ExecuteJoinFromCoGroupFlatMapFunction extends BaseFlatMapFunctionAdaptee, Pair>, List>>>, List> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunctionAdapter.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunctionAdapter.java index fed6762b0..a0b283e86 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunctionAdapter.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExecuteJoinFromCoGroupFlatMapFunctionAdapter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.join; @@ -25,11 +29,6 @@ import org.nd4j.common.primitives.Pair; import java.util.ArrayList; import java.util.List; -/** - * Execute a join - * - * @author Alex Black - */ public class ExecuteJoinFromCoGroupFlatMapFunctionAdapter implements FlatMapFunctionAdapter, Pair>, List>>>, List> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExtractKeysFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExtractKeysFunction.java index 42d205c99..28072cb98 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExtractKeysFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/ExtractKeysFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.join; @@ -25,7 +29,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** Created by huitseeker on 3/6/17. */ @AllArgsConstructor public class ExtractKeysFunction implements Function, Pair, List>> { private int[] columnIndexes; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValues.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValues.java index 7730db197..e605c8f58 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValues.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValues.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.join; @@ -22,13 +26,6 @@ import org.datavec.local.transforms.BaseFlatMapFunctionAdaptee; import java.util.List; -/** - * Doing two things here: - * (a) filter out any unnecessary values, and - * (b) extract the List values from the JoinedValue - * - * @author Alex Black - */ public class FilterAndFlattenJoinedValues extends BaseFlatMapFunctionAdaptee> { public FilterAndFlattenJoinedValues(Join.JoinType joinType) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValuesAdapter.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValuesAdapter.java index 759a670ee..db28f431a 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValuesAdapter.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/FilterAndFlattenJoinedValuesAdapter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.join; @@ -23,13 +27,6 @@ import org.datavec.local.transforms.functions.FlatMapFunctionAdapter; import java.util.Collections; import java.util.List; -/** - * Doing two things here: - * (a) filter out any unnecessary values, and - * (b) extract the List values from the JoinedValue - * - * @author Alex Black - */ public class FilterAndFlattenJoinedValuesAdapter implements FlatMapFunctionAdapter> { private final Join.JoinType joinType; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/JoinedValue.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/JoinedValue.java index 6fbe0d558..4a1c248d8 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/JoinedValue.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/join/JoinedValue.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.join; @@ -23,9 +27,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * Simple helper class for executing joins - */ @AllArgsConstructor @Data public class JoinedValue implements Serializable { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnAsKeyPairFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnAsKeyPairFunction.java index 76921daf9..06ce578c5 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnAsKeyPairFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnAsKeyPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -23,12 +27,6 @@ import org.nd4j.common.primitives.Pair; import java.util.List; -/** - * Very simple function to extract out one writable (by index) and use it as a key in the resulting PairRDD - * For example, myWritable.mapToPair(new ColumnsAsKeyPairFunction(myKeyColumnIdx)) - * - * @author Alex Black - */ @AllArgsConstructor public class ColumnAsKeyPairFunction implements Function, Pair>> { private final int columnIdx; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnToKeyPairTransform.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnToKeyPairTransform.java index 92e867098..e5ca17781 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnToKeyPairTransform.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/ColumnToKeyPairTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -24,12 +28,6 @@ import org.nd4j.common.primitives.Pair; import java.util.List; -/** - * Extract out one writable, and map it to a pair with count 1. - * Used to count the N most frequent values in a column, - * - * @author Alex Black - */ @AllArgsConstructor public class ColumnToKeyPairTransform implements Function, Pair> { private final int columnIndex; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/NDArrayToWritablesFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/NDArrayToWritablesFunction.java index 98533e382..e533a823a 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/NDArrayToWritablesFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/NDArrayToWritablesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -26,11 +30,6 @@ import org.nd4j.common.function.Function; import java.util.ArrayList; import java.util.List; -/** - * Function for converting NDArrays to lists of writables. - * - * @author dave@skymind.io - */ @AllArgsConstructor public class NDArrayToWritablesFunction implements Function> { private boolean useNdarrayWritable = false; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceMergeFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceMergeFunction.java index 46dae0034..0e0c6afef 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceMergeFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -24,21 +28,6 @@ import org.nd4j.common.primitives.Pair; import java.util.ArrayList; import java.util.List; -/** - * Function for merging multiple sequences, using a {@link SequenceMerge} instance.
- * - * Typical usage:
- * 
- * {@code
- * JavaPairRDD>> myData = ...;
- * SequenceComparator comparator = ...;
- * SequenceMergeFunction sequenceMergeFunction = new SequenceMergeFunction<>(new SequenceMerge(comparator));
- * JavaRDD>> merged = myData.groupByKey().map(sequenceMergeFunction);
- * }
- *
- * - * @author Alex Black - */ public class SequenceMergeFunction implements Function>>>, List>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceWritablesToStringFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceWritablesToStringFunction.java index 56f5e48dc..57f2b75dd 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceWritablesToStringFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SequenceWritablesToStringFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -22,12 +26,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Simple function to map sequence examples to a String format (such as CSV) - * with given quote around the string value if it contains the delimiter. - * - * @author Alex Black - */ @AllArgsConstructor public class SequenceWritablesToStringFunction implements Function>, String> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/StringToWritablesFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/StringToWritablesFunction.java index 06b543f1a..b5e4e4fee 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/StringToWritablesFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/StringToWritablesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -27,10 +31,6 @@ import java.util.ArrayList; import java.util.Collection; import java.util.List; -/** - * Convert a String to a List using a DataVec record reader - * - */ @AllArgsConstructor public class StringToWritablesFunction implements Function> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SumLongsFunction2.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SumLongsFunction2.java index 95d1adcca..733e2582f 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SumLongsFunction2.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/SumLongsFunction2.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -20,9 +24,6 @@ package org.datavec.local.transforms.misc; import org.nd4j.common.function.Function; import org.nd4j.common.primitives.Pair; -/** - * Created by Alex on 03/09/2016. - */ public class SumLongsFunction2 implements Function, Long> { @Override public Long apply(Pair input) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToNDArrayFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToNDArrayFunction.java index 0334ddd93..896716807 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToNDArrayFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToNDArrayFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -26,13 +30,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex; import java.util.Arrays; import java.util.List; -/** - * Function for converting lists of Writables to a single - * NDArray row vector. Necessary for creating and saving a - * dense matrix representation of raw data. - * - * @author dave@skymind.io - */ public class WritablesToNDArrayFunction implements Function, INDArray> { @Override diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToStringFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToStringFunction.java index b1decb094..1ec8333fe 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToStringFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/WritablesToStringFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc; @@ -22,12 +26,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Simple function to map an example to a String format (such as CSV) - * with given quote around the string value if it contains the delimiter. - * - * @author Alex Black - */ @AllArgsConstructor public class WritablesToStringFunction implements Function, String> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/comparator/Tuple2Comparator.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/comparator/Tuple2Comparator.java index b53ac6fe2..150f349fa 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/comparator/Tuple2Comparator.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/misc/comparator/Tuple2Comparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.misc.comparator; @@ -22,9 +26,6 @@ import org.nd4j.common.primitives.Pair; import java.io.Serializable; import java.util.Comparator; -/** - * Simple comparator: Compare {@code Tuple2} by Long value - */ @AllArgsConstructor public class Tuple2Comparator implements Comparator>, Serializable { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/rank/UnzipForCalculateSortedRankFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/rank/UnzipForCalculateSortedRankFunction.java index e569fe940..d7024f40e 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/rank/UnzipForCalculateSortedRankFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/rank/UnzipForCalculateSortedRankFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.rank; @@ -24,11 +28,6 @@ import org.nd4j.common.primitives.Pair; import java.util.ArrayList; import java.util.List; -/** - * A simple helper function for use in executing CalculateSortedRank - * - * @author Alex Black - */ public class UnzipForCalculateSortedRankFunction implements Function>, Long>, List> { @Override diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/MapToPairForReducerFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/MapToPairForReducerFunction.java index f84315241..1509f4d48 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/MapToPairForReducerFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/MapToPairForReducerFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.reduce; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/ReducerFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/ReducerFunction.java index b1b449bea..a74406e1e 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/ReducerFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/reduce/ReducerFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.reduce; @@ -23,12 +27,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Function for executing - * a reduction of a set of examples by key - * - * @author Alex Black - */ @AllArgsConstructor public class ReducerFunction implements Function>, List> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/ConvertToSequenceLengthOne.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/ConvertToSequenceLengthOne.java index 18324eba0..14c0cb14f 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/ConvertToSequenceLengthOne.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/ConvertToSequenceLengthOne.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.sequence; @@ -22,11 +26,6 @@ import org.nd4j.common.function.Function; import java.util.Collections; import java.util.List; -/** - * Very simple function to convert an example to sequence of length 1 - * - * @author Alex Black - */ public class ConvertToSequenceLengthOne implements Function, List>> { @Override public List> apply(List writables) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalGroupToSequenceFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalGroupToSequenceFunction.java index 0c1d85510..963a340ef 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalGroupToSequenceFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalGroupToSequenceFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.sequence; @@ -25,12 +29,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Function for grouping independent values/examples into a sequence, and then sorting them - * using a provided {@link SequenceComparator} - * - * @author Alex Black - */ @AllArgsConstructor public class LocalGroupToSequenceFunction implements Function>, List>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByColumnFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByColumnFunction.java index 7131966f7..2b803ce5e 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByColumnFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByColumnFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.sequence; @@ -23,11 +27,6 @@ import org.nd4j.common.primitives.Pair; import java.util.List; -/** - * Function to map a n example to a pair, by using one of the columns as the key. - * - * @author Alex Black - */ @AllArgsConstructor public class LocalMapToPairByColumnFunction implements Function, Pair>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByMultipleColumnsFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByMultipleColumnsFunction.java index 1f4e36af1..2d5c17e5f 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByMultipleColumnsFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalMapToPairByMultipleColumnsFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.sequence; @@ -24,11 +28,6 @@ import org.nd4j.common.primitives.Pair; import java.util.ArrayList; import java.util.List; -/** - * Function to map an example to a pair, by using some of the column values as the key. - * - * @author Alex Black - */ @AllArgsConstructor public class LocalMapToPairByMultipleColumnsFunction implements Function, Pair, List>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceFilterFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceFilterFunction.java index 90573b983..8e289d0cb 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceFilterFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceFilterFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.sequence; @@ -23,9 +27,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class LocalSequenceFilterFunction implements Function>, Boolean> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceTransformFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceTransformFunction.java index 401f9fdac..c7e201d07 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceTransformFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/sequence/LocalSequenceTransformFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.sequence; @@ -23,10 +27,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Function for transforming sequences using a Transform - * @author Alex Black - */ @AllArgsConstructor public class LocalSequenceTransformFunction implements Function>, List>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformFunction.java index c27f0d2ec..b82cc593a 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; @@ -26,9 +30,6 @@ import org.nd4j.common.function.Function; import java.util.ArrayList; import java.util.List; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor @Slf4j public class LocalTransformFunction implements Function, List> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunction.java index d28f61700..0f994965c 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; @@ -22,9 +26,6 @@ import org.datavec.local.transforms.BaseFlatMapFunctionAdaptee; import java.util.List; -/** - * Function for executing a transform process - */ public class LocalTransformProcessFunction extends BaseFlatMapFunctionAdaptee, List> { public LocalTransformProcessFunction(TransformProcess transformProcess) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunctionAdapter.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunctionAdapter.java index a365fc0c7..48ea84418 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunctionAdapter.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/LocalTransformProcessFunctionAdapter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; @@ -23,9 +27,6 @@ import org.datavec.local.transforms.functions.FlatMapFunctionAdapter; import java.util.Collections; import java.util.List; -/** - * Function for executing a transform process - */ public class LocalTransformProcessFunctionAdapter implements FlatMapFunctionAdapter, List> { private final TransformProcess transformProcess; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunction.java index 3fbfa48d5..e6c3c3dc6 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; @@ -22,9 +26,6 @@ import org.datavec.local.transforms.BaseFlatMapFunctionAdaptee; import java.util.List; -/** - * Created by Alex on 17/03/2016. - */ public class SequenceSplitFunction extends BaseFlatMapFunctionAdaptee>, List>> { public SequenceSplitFunction(SequenceSplit split) { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunctionAdapter.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunctionAdapter.java index f68b4d544..52f9c9fbf 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunctionAdapter.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/SequenceSplitFunctionAdapter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; @@ -22,9 +26,6 @@ import org.datavec.local.transforms.functions.FlatMapFunctionAdapter; import java.util.List; -/** - * Created by Alex on 17/03/2016. - */ public class SequenceSplitFunctionAdapter implements FlatMapFunctionAdapter>, List>> { diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/FilterWritablesBySchemaFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/FilterWritablesBySchemaFunction.java index 08973dee2..9eb828143 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/FilterWritablesBySchemaFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/FilterWritablesBySchemaFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform.filter; @@ -22,9 +26,6 @@ import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; import org.nd4j.common.function.Function; -/** - * Created by Alex on 6/03/2016. - */ public class FilterWritablesBySchemaFunction implements Function { private final ColumnMetaData meta; diff --git a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/LocalFilterFunction.java b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/LocalFilterFunction.java index ac6c56fae..9c722d24d 100644 --- a/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/LocalFilterFunction.java +++ b/datavec/datavec-local/src/main/java/org/datavec/local/transforms/transform/filter/LocalFilterFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform.filter; @@ -23,10 +27,6 @@ import org.nd4j.common.function.Function; import java.util.List; -/** - * Function for executing filter operations - * @author Alex Black - */ @AllArgsConstructor public class LocalFilterFunction implements Function, Boolean> { diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/AssertTestsExtendBaseClass.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/AssertTestsExtendBaseClass.java index f6c9ac5ec..5c122b06f 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/LocalTransformProcessRecordReaderTests.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/LocalTransformProcessRecordReaderTests.java index e2ab3ddd7..3464f9547 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/LocalTransformProcessRecordReaderTests.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/LocalTransformProcessRecordReaderTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms; diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/analysis/TestAnalyzeLocal.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/analysis/TestAnalyzeLocal.java index 95a30b6cc..b0489f9e0 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/analysis/TestAnalyzeLocal.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/analysis/TestAnalyzeLocal.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.analysis; diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestLineRecordReaderFunction.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestLineRecordReaderFunction.java index 9ed9f528d..182642ebe 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestLineRecordReaderFunction.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestLineRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -35,9 +39,6 @@ import java.util.stream.Collectors; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 21/05/2016. - */ public class TestLineRecordReaderFunction { @Test diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestNDArrayToWritablesFunction.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestNDArrayToWritablesFunction.java index 677bd3d48..d7d2c55f4 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestNDArrayToWritablesFunction.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestNDArrayToWritablesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -31,11 +35,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Unit tests for NDArrayToWritablesFunction. - * - * @author dave@skymind.io - */ public class TestNDArrayToWritablesFunction { @Test diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToNDArrayFunction.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToNDArrayFunction.java index 65ff25850..f86dbd411 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToNDArrayFunction.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToNDArrayFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToStringFunctions.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToStringFunctions.java index d6cc7ba37..bbc08d90f 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToStringFunctions.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/functions/TestWritablesToStringFunctions.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.functions; @@ -33,9 +37,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 19/05/2017. - */ public class TestWritablesToStringFunctions { diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/ExecutionTest.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/ExecutionTest.java index 19733f297..67c6ace3d 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/ExecutionTest.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/ExecutionTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; @@ -40,9 +44,6 @@ import java.util.*; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 25/11/2016. - */ public class ExecutionTest { @Test diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestGeoTransforms.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestGeoTransforms.java index 4dc4a3fe6..d1b304c96 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestGeoTransforms.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestGeoTransforms.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestPythonTransformProcess.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestPythonTransformProcess.java index 7a6ab3f03..2659b6136 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestPythonTransformProcess.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/TestPythonTransformProcess.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform; diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/join/TestJoin.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/join/TestJoin.java index a4cee4a79..6d0006b4c 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/join/TestJoin.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/join/TestJoin.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform.join; @@ -30,9 +34,6 @@ import java.util.*; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 13/10/2016. - */ public class TestJoin { @Test diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/rank/TestCalculateSortedRank.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/rank/TestCalculateSortedRank.java index e4644a814..9061b9ba7 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/rank/TestCalculateSortedRank.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/rank/TestCalculateSortedRank.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform.rank; @@ -35,9 +39,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 1/06/2016. - */ public class TestCalculateSortedRank { @Test diff --git a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/sequence/TestConvertToSequence.java b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/sequence/TestConvertToSequence.java index 68be7ea43..2659e3701 100644 --- a/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/sequence/TestConvertToSequence.java +++ b/datavec/datavec-local/src/test/java/org/datavec/local/transforms/transform/sequence/TestConvertToSequence.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.local.transforms.transform.sequence; @@ -36,9 +40,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 19/05/2017. - */ public class TestConvertToSequence { @Test diff --git a/datavec/datavec-local/src/test/resources/log4j.properties b/datavec/datavec-local/src/test/resources/log4j.properties index 00eaf12f4..c5d6b5f4c 100644 --- a/datavec/datavec-local/src/test/resources/log4j.properties +++ b/datavec/datavec-local/src/test/resources/log4j.properties @@ -1,18 +1,22 @@ -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. # -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ log4j.rootLogger=ERROR, Console log4j.logger.play=DEBUG diff --git a/datavec/datavec-local/src/test/resources/logback.xml b/datavec/datavec-local/src/test/resources/logback.xml index 2087d615c..abb9912c7 100644 --- a/datavec/datavec-local/src/test/resources/logback.xml +++ b/datavec/datavec-local/src/test/resources/logback.xml @@ -1,18 +1,22 @@ - + diff --git a/datavec/datavec-python/pom.xml b/datavec/datavec-python/pom.xml deleted file mode 100644 index dae915909..000000000 --- a/datavec/datavec-python/pom.xml +++ /dev/null @@ -1,84 +0,0 @@ - - - - - - datavec-parent - org.datavec - 1.0.0-SNAPSHOT - - jar - 4.0.0 - - datavec-python - - - - org.json - json - 20190722 - - - org.bytedeco - cpython-platform - ${cpython-platform.version} - - - org.bytedeco - numpy-platform - ${numpy.javacpp.version} - - - - com.google.code.findbugs - jsr305 - 3.0.2 - - - org.datavec - datavec-api - ${project.version} - - - ch.qos.logback - logback-classic - ${logback.version} - test - - - org.nd4j - nd4j-native-api - ${project.version} - - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - - - - - test-nd4j-native - - - test-nd4j-cuda-11.0 - - - diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/NumpyArray.java b/datavec/datavec-python/src/main/java/org/datavec/python/NumpyArray.java deleted file mode 100644 index 708184de7..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/NumpyArray.java +++ /dev/null @@ -1,147 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import lombok.Builder; -import lombok.Getter; -import lombok.NoArgsConstructor; -import org.apache.commons.lang3.ArrayUtils; -import org.bytedeco.javacpp.Pointer; -import org.nd4j.linalg.api.buffer.DataBuffer; -import org.nd4j.linalg.api.concurrency.AffinityManager; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.api.shape.Shape; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.nativeblas.NativeOps; -import org.nd4j.nativeblas.NativeOpsHolder; -import org.nd4j.linalg.api.buffer.DataType; - -import java.util.Arrays; -import java.util.HashMap; -import java.util.Map; - -import static org.nd4j.linalg.api.buffer.DataType.FLOAT; - - -/** - * Wrapper around INDArray for initializing from numpy array - * - * @author Fariz Rahman - */ -@Getter -@NoArgsConstructor -public class NumpyArray { - - private static NativeOps nativeOps; - private static Map arrayCache; // Avoids re-allocation of device buffer - private long address; - private long[] shape; - private long[] strides; - private DataType dtype; - private INDArray nd4jArray; - - static { - //initialize - Nd4j.scalar(1.0); - nativeOps = NativeOpsHolder.getInstance().getDeviceNativeOps(); - arrayCache = new HashMap<>(); - } - - @Builder - public NumpyArray(long address, long[] shape, long strides[], DataType dtype, boolean copy) { - this.address = address; - this.shape = shape; - this.strides = strides; - this.dtype = dtype; - setND4JArray(); - if (copy) { - nd4jArray = nd4jArray.dup(); - Nd4j.getAffinityManager().ensureLocation(nd4jArray, AffinityManager.Location.HOST); - this.address = nd4jArray.data().address(); - } - } - - - - public NumpyArray copy() { - return new NumpyArray(nd4jArray.dup()); - } - - public NumpyArray(long address, long[] shape, long strides[]) { - this(address, shape, strides, FLOAT, false); - } - - public NumpyArray(long address, long[] shape, long strides[], DataType dtype) { - this(address, shape, strides, dtype, false); - } - - - private void setND4JArray() { - - long size = 1; - for (long d : shape) { - size *= d; - } - - String cacheKey = address + "_" + size + "_" + dtype + "_" + ArrayUtils.toString(strides); - nd4jArray = arrayCache.get(cacheKey); - if (nd4jArray == null) { - Pointer ptr = nativeOps.pointerForAddress(address); - ptr = ptr.limit(size); - ptr = ptr.capacity(size); - DataBuffer buff = Nd4j.createBuffer(ptr, size, dtype); - - int elemSize = buff.getElementSize(); - long[] nd4jStrides = new long[strides.length]; - for (int i = 0; i < strides.length; i++) { - nd4jStrides[i] = strides[i] / elemSize; - } - - nd4jArray = Nd4j.create(buff, shape, nd4jStrides, 0, Shape.getOrder(shape, nd4jStrides, 1), dtype); - arrayCache.put(cacheKey, nd4jArray); - } - else{ - if (!Arrays.equals(nd4jArray.shape(), shape)){ - nd4jArray = nd4jArray.reshape(shape); - } - } - Nd4j.getAffinityManager().ensureLocation(nd4jArray, AffinityManager.Location.HOST); - } - - public INDArray getNd4jArray(){ - Nd4j.getAffinityManager().tagLocation(nd4jArray, AffinityManager.Location.HOST); - return nd4jArray; - } - - public NumpyArray(INDArray nd4jArray) { - Nd4j.getAffinityManager().ensureLocation(nd4jArray, AffinityManager.Location.HOST); - DataBuffer buff = nd4jArray.data(); - address = buff.pointer().address(); - shape = nd4jArray.shape(); - long[] nd4jStrides = nd4jArray.stride(); - strides = new long[nd4jStrides.length]; - int elemSize = buff.getElementSize(); - for (int i = 0; i < strides.length; i++) { - strides[i] = nd4jStrides[i] * elemSize; - } - dtype = nd4jArray.dataType(); - this.nd4jArray = nd4jArray; - String cacheKey = address + "_" + nd4jArray.length() + "_" + dtype + "_" + ArrayUtils.toString(strides); - arrayCache.put(cacheKey, nd4jArray); - } - -} \ No newline at end of file diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/Python.java b/datavec/datavec-python/src/main/java/org/datavec/python/Python.java deleted file mode 100644 index 98c9b964c..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/Python.java +++ /dev/null @@ -1,275 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - - -import org.bytedeco.cpython.PyObject; - -import static org.bytedeco.cpython.global.python.*; -import static org.bytedeco.numpy.global.numpy.PyArray_EnsureArray; - -/** - * Swift like python wrapper for Java - * - * @author Fariz Rahman - */ - -public class Python { - - /** - * Imports a python module, similar to python import statement. - * @param moduleName name of the module to be imported - * @return reference to the module object - * @throws PythonException - */ - public static PythonObject importModule(String moduleName) throws PythonException{ - PythonObject module = new PythonObject(PyImport_ImportModule(moduleName)); - if (module.isNone()) { - throw new PythonException("Error importing module: " + moduleName); - } - return module; - } - - public static PythonObject attr(String attrName) { - return builtins().attr(attrName); - } - - public static PythonObject len(PythonObject pythonObject) { - return attr("len").call(pythonObject); - } - - public static PythonObject str(PythonObject pythonObject) { - return attr("str").call(pythonObject); - } - - public static PythonObject str() { - return attr("str").call(); - } - - public static PythonObject strType() { - return attr("str"); - } - - public static PythonObject float_(PythonObject pythonObject) { - return attr("float").call(pythonObject); - } - - public static PythonObject float_() { - return attr("float").call(); - } - - public static PythonObject floatType() { - return attr("float"); - } - - public static PythonObject bool(PythonObject pythonObject) { - return attr("bool").call(pythonObject); - } - - public static PythonObject bool() { - return attr("bool").call(); - } - - public static PythonObject boolType() { - return attr("bool"); - } - - public static PythonObject int_(PythonObject pythonObject) { - return attr("int").call(pythonObject); - } - - public static PythonObject int_() { - return attr("int").call(); - } - - public static PythonObject intType() { - return attr("int"); - } - - public static PythonObject list(PythonObject pythonObject) { - return attr("list").call(pythonObject); - } - - public static PythonObject list() { - return attr("list").call(); - } - - public static PythonObject listType() { - return attr("list"); - } - - public static PythonObject dict(PythonObject pythonObject) { - return attr("dict").call(pythonObject); - } - - public static PythonObject dict() { - return attr("dict").call(); - } - - public static PythonObject dictType() { - return attr("dict"); - } - - public static PythonObject set(PythonObject pythonObject) { - return attr("set").call(pythonObject); - } - - public static PythonObject set() { - return attr("set").call(); - } - - public static PythonObject bytearray(PythonObject pythonObject) { - return attr("bytearray").call(pythonObject); - } - - public static PythonObject bytearray() { - return attr("bytearray").call(); - } - - public static PythonObject bytearrayType() { - return attr("bytearray"); - } - - public static PythonObject memoryview(PythonObject pythonObject) { - return attr("memoryview").call(pythonObject); - } - - public static PythonObject memoryviewType() { - return attr("memoryview"); - } - - public static PythonObject bytes(PythonObject pythonObject) { - return attr("bytes").call(pythonObject); - } - - public static PythonObject bytes() { - return attr("bytes").call(); - } - - public static PythonObject bytesType() { - return attr("bytes"); - } - - public static PythonObject tuple(PythonObject pythonObject) { - return attr("tuple").call(pythonObject); - } - - public static PythonObject tuple() { - return attr("tuple").call(); - } - - - public static PythonObject Exception(PythonObject pythonObject) { - return attr("Exception").call(pythonObject); - } - - public static PythonObject Exception() { - return attr("Exception").call(); - } - - public static PythonObject ExceptionType() { - return attr("Exception"); - } - - - public static PythonObject tupleType() { - return attr("tuple"); - } - public static PythonObject globals() { - return new PythonObject(PyModule_GetDict(PyImport_ImportModule("__main__"))); - } - - public static PythonObject type(PythonObject obj) { - return attr("type").call(obj); - } - - public static boolean isinstance(PythonObject obj, PythonObject... type) { - return PyObject_IsInstance(obj.getNativePythonObject(), - PyList_AsTuple(new PythonObject(type).getNativePythonObject())) != 0; - } - - public static PythonObject eval(String code) { - PyObject compiledCode = Py_CompileString(code, "", Py_eval_input); - PyObject globals = globals().getNativePythonObject(); - PyObject locals = Python.dict().getNativePythonObject(); - return new PythonObject(PyEval_EvalCode(compiledCode, globals, locals)); - } - - - public static PythonObject builtins(){ - try{ - return importModule("builtins"); - }catch (PythonException pe){ - throw new IllegalStateException("Unable to import builtins: " + pe); // this should never happen - } - - } - - public static PythonObject None() { - return dict().attr("get").call(0); - } - - public static PythonObject True() { - return boolType().call(1); - } - - public static PythonObject False() { - return boolType().call(0); - - } - - public static PythonObject ndarray(PythonObject pythonObject){ - return new PythonObject(PyArray_EnsureArray(pythonObject.getNativePythonObject())); - } - - public static boolean callable(PythonObject pythonObject) { - return PyCallable_Check(pythonObject.getNativePythonObject()) == 1; - } - - - public static void setContext(String context) throws PythonException{ - PythonContextManager.setContext(context); - } - - public static String getCurrentContext(){ - return PythonContextManager.getCurrentContext(); - } - - public static void deleteContext(String context) throws PythonException{ - PythonContextManager.deleteContext(context); - } - - public static void deleteNonMainContexts(){ - PythonContextManager.deleteNonMainContexts(); - } - - public static void setMainContext(){PythonContextManager.setMainContext();} - - public static void exec(String code)throws PythonException{ - PythonExecutioner.exec(code); - } - public static void exec(String code, PythonVariables inputs, PythonVariables outputs) throws PythonException{ - PythonExecutioner.exec(code, inputs, outputs); - } - - public static PythonGIL lock(){ - return PythonGIL.lock(); - } - - -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonCondition.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonCondition.java deleted file mode 100644 index e94e5a171..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonCondition.java +++ /dev/null @@ -1,162 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.datavec.api.transform.condition.Condition; -import org.datavec.api.transform.schema.Schema; -import org.datavec.api.writable.*; -import java.util.List; - -import static org.datavec.python.PythonUtils.schemaToPythonVariables; -import static org.nd4j.common.base.Preconditions.checkNotNull; -import static org.nd4j.common.base.Preconditions.checkState; - -/** - * Lets a condition be defined as a python method f that takes no arguments - * and returns a boolean indicating whether or not to filter a row. - * The values of all columns in current row are available as global variables to f. - * - * @author Fariz Rahman - */ -public class PythonCondition implements Condition { - - private Schema inputSchema; - private PythonVariables pyInputs; - private PythonTransform pythonTransform; - private String code; - - - public PythonCondition(String pythonCode) { - checkNotNull("Python code must not be null!", pythonCode); - checkState(!pythonCode.isEmpty(), "Python code must not be empty!"); - code = pythonCode; - } - - - @Override - public void setInputSchema(Schema inputSchema) { - this.inputSchema = inputSchema; - try { - pyInputs = schemaToPythonVariables(inputSchema); - PythonVariables pyOuts = new PythonVariables(); - pyOuts.addInt("out"); - pythonTransform = PythonTransform.builder() - .code(code + "\n\nout=f()\nout=0 if out is None else int(out)") - .inputs(pyInputs) - .outputs(pyOuts) - .build(); - - } catch (Exception e) { - throw new RuntimeException(e); - } - - - } - - @Override - public Schema getInputSchema() { - return inputSchema; - } - - @Override - public String[] outputColumnNames() { - String[] columnNames = new String[inputSchema.numColumns()]; - inputSchema.getColumnNames().toArray(columnNames); - return columnNames; - } - - @Override - public String outputColumnName() { - return outputColumnNames()[0]; - } - - @Override - public String[] columnNames() { - return outputColumnNames(); - } - - @Override - public String columnName() { - return outputColumnName(); - } - - @Override - public Schema transform(Schema inputSchema) { - return inputSchema; - } - - @Override - public boolean condition(List list) { - PythonVariables inputs = getPyInputsFromWritables(list); - try { - pythonTransform.getPythonJob().exec(inputs, pythonTransform.getOutputs()); - boolean ret = pythonTransform.getOutputs().getIntValue("out") != 0; - return ret; - } catch (Exception e) { - throw new RuntimeException(e); - } - } - - @Override - public boolean condition(Object input) { - return condition(input); - } - - @Override - public boolean conditionSequence(List> list) { - throw new UnsupportedOperationException("not supported"); - } - - - @Override - public boolean conditionSequence(Object input) { - throw new UnsupportedOperationException("not supported"); - } - - private PythonVariables getPyInputsFromWritables(List writables) { - PythonVariables ret = new PythonVariables(); - - for (int i = 0; i < inputSchema.numColumns(); i++) { - String name = inputSchema.getName(i); - Writable w = writables.get(i); - PythonType pyType = pyInputs.getType(inputSchema.getName(i)); - switch (pyType.getName()) { - case INT: - if (w instanceof LongWritable) { - ret.addInt(name, ((LongWritable) w).get()); - } else { - ret.addInt(name, ((IntWritable) w).get()); - } - - break; - case FLOAT: - ret.addFloat(name, ((DoubleWritable) w).get()); - break; - case STR: - ret.addStr(name, w.toString()); - break; - case NDARRAY: - ret.addNDArray(name, ((NDArrayWritable) w).get()); - break; - } - } - - return ret; - } - - -} \ No newline at end of file diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonContextManager.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonContextManager.java deleted file mode 100644 index c3563bfc2..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonContextManager.java +++ /dev/null @@ -1,188 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - - -package org.datavec.python; - - -import java.util.HashSet; -import java.util.Set; -import java.util.concurrent.atomic.AtomicBoolean; - -/** - * Emulates multiples interpreters in a single interpreter. - * This works by simply obfuscating/de-obfuscating variable names - * such that only the required subset of the global namespace is "visible" - * at any given time. - * By default, there exists a "main" context emulating the default interpreter - * and cannot be deleted. - * @author Fariz Rahman - */ - - -public class PythonContextManager { - - private static Set contexts = new HashSet<>(); - private static AtomicBoolean init = new AtomicBoolean(false); - private static String currentContext; - private static final String MAIN_CONTEXT = "main"; - static { - init(); - } - - private static void init() { - if (init.get()) return; - new PythonExecutioner(); - init.set(true); - currentContext = MAIN_CONTEXT; - contexts.add(currentContext); - } - - - public static void addContext(String contextName) throws PythonException { - if (!validateContextName(contextName)) { - throw new PythonException("Invalid context name: " + contextName); - } - contexts.add(contextName); - } - - public static boolean hasContext(String contextName) { - return contexts.contains(contextName); - } - - - public static boolean validateContextName(String s) { - if (s.length() == 0) return false; - if (!Character.isJavaIdentifierStart(s.charAt(0))) return false; - for (int i = 1; i < s.length(); i++) - if (!Character.isJavaIdentifierPart(s.charAt(i))) - return false; - return true; - } - - private static String getContextPrefix(String contextName) { - return "__collapsed__" + contextName + "__"; - } - - private static String getCollapsedVarNameForContext(String varName, String contextName) { - return getContextPrefix(contextName) + varName; - } - - private static String expandCollapsedVarName(String varName, String contextName) { - String prefix = "__collapsed__" + contextName + "__"; - return varName.substring(prefix.length()); - - } - - private static void collapseContext(String contextName) { - PythonObject globals = Python.globals(); - PythonObject keysList = Python.list(globals.attr("keys").call()); - int numKeys = Python.len(keysList).toInt(); - for (int i = 0; i < numKeys; i++) { - PythonObject key = keysList.get(i); - String keyStr = key.toString(); - if (!((keyStr.startsWith("__") && keyStr.endsWith("__")) || keyStr.startsWith("__collapsed_"))) { - String collapsedKey = getCollapsedVarNameForContext(keyStr, contextName); - PythonObject val = globals.attr("pop").call(key); - globals.set(new PythonObject(collapsedKey), val); - } - } - } - - private static void expandContext(String contextName) { - String prefix = getContextPrefix(contextName); - PythonObject globals = Python.globals(); - PythonObject keysList = Python.list(globals.attr("keys").call()); - int numKeys = Python.len(keysList).toInt(); - for (int i = 0; i < numKeys; i++) { - PythonObject key = keysList.get(i); - String keyStr = key.toString(); - if (keyStr.startsWith(prefix)) { - String expandedKey = expandCollapsedVarName(keyStr, contextName); - PythonObject val = globals.attr("pop").call(key); - globals.set(new PythonObject(expandedKey), val); - } - } - - } - - public static void setContext(String contextName) throws PythonException{ - if (contextName.equals(currentContext)) { - return; - } - if (!hasContext(contextName)) { - addContext(contextName); - } - collapseContext(currentContext); - expandContext(contextName); - currentContext = contextName; - - } - - public static void setMainContext() { - try{ - setContext(MAIN_CONTEXT); - } - catch (PythonException pe){ - throw new RuntimeException(pe); - } - - } - - public static String getCurrentContext() { - return currentContext; - } - - public static void deleteContext(String contextName) throws PythonException { - if (contextName.equals(MAIN_CONTEXT)) { - throw new PythonException("Can not delete main context!"); - } - if (contextName.equals(currentContext)) { - throw new PythonException("Can not delete current context!"); - } - String prefix = getContextPrefix(contextName); - PythonObject globals = Python.globals(); - PythonObject keysList = Python.list(globals.attr("keys").call()); - int numKeys = Python.len(keysList).toInt(); - for (int i = 0; i < numKeys; i++) { - PythonObject key = keysList.get(i); - String keyStr = key.toString(); - if (keyStr.startsWith(prefix)) { - globals.attr("__delitem__").call(key); - } - } - contexts.remove(contextName); - } - - public static void deleteNonMainContexts() { - try{ - setContext(MAIN_CONTEXT); // will never fail - for (String c : contexts.toArray(new String[0])) { - if (!c.equals(MAIN_CONTEXT)) { - deleteContext(c); // will never fail - } - } - }catch(Exception e){ - throw new RuntimeException(e); - } - } - - public String[] getContexts() { - return contexts.toArray(new String[0]); - } - -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonException.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonException.java deleted file mode 100644 index d66c67a32..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonException.java +++ /dev/null @@ -1,44 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -/** - * Thrown when an exception occurs in python land - */ -public class PythonException extends Exception { - public PythonException(String message){ - super(message); - } - private static String getExceptionString(PythonObject exception){ - if (Python.isinstance(exception, Python.ExceptionType())){ - String exceptionClass = Python.type(exception).attr("__name__").toString(); - String message = exception.toString(); - return exceptionClass + ": " + message; - } - return exception.toString(); - } - public PythonException(PythonObject exception){ - this(getExceptionString(exception)); - } - public PythonException(String message, Throwable cause){ - super(message, cause); - } - public PythonException(Throwable cause){ - super(cause); - } -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonExecutioner.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonExecutioner.java deleted file mode 100644 index c6c28262b..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonExecutioner.java +++ /dev/null @@ -1,400 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - - -package org.datavec.python; - -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.io.IOUtils; -import org.bytedeco.cpython.global.python; -import org.bytedeco.numpy.global.numpy; -import org.nd4j.common.io.ClassPathResource; - -import java.io.File; -import java.io.IOException; -import java.io.InputStream; -import java.nio.charset.Charset; -import java.util.concurrent.atomic.AtomicBoolean; - -import static org.bytedeco.cpython.global.python.*; -import static org.datavec.python.Python.*; - -/** - * Allows execution of python scripts managed by - * an internal interpreter. - * An end user may specify a python script to run - * via any of the execution methods available in this class. - * - * At static initialization time (when the class is first initialized) - * a number of components are setup: - * 1. The python path. A user may over ride this with the system property {@link #DEFAULT_PYTHON_PATH_PROPERTY} - * - * 2. Since this executioner uses javacpp to manage and run python interpreters underneath the covers, - * a user may also over ride the system property {@link #JAVACPP_PYTHON_APPEND_TYPE} with one of the {@link JavaCppPathType} - * values. This will allow the user to determine whether the javacpp default python path is used at all, and if so - * whether it is appended, prepended, or not used. This behavior is useful when you need to use an external - * python distribution such as anaconda. - * - * 3. A proper numpy import for use with javacpp: We call numpy import ourselves to ensure proper loading of - * native libraries needed by numpy are allowed to load in the proper order. If we don't do this, - * it causes a variety of issues with running numpy. (User must still include "import numpy as np" in their scripts). - * - * 4. Various python scripts pre defined on the classpath included right with the java code. - * These are auxillary python scripts used for loading classes, pre defining certain kinds of behavior - * in order for us to manipulate values within the python memory, as well as pulling them out of memory - * for integration within the internal python executioner. - * - * For more information on how this works, please take a look at the {@link #init()} - * method. - * - * Generally, a user defining a python script for use by the python executioner - * will have a set of defined target input values and output values. - * These values should not be present when actually running the script, but just referenced. - * In order to test your python script for execution outside the engine, - * we recommend commenting out a few default values as dummy input values. - * This will allow an end user to test their script before trying to use the server. - * - * In order to get output values out of a python script, all a user has to do - * is define the output variables they want being used in the final output in the actual pipeline. - * For example, if a user wants to return a dictionary, they just have to create a dictionary with that name - * and based on the configured {@link PythonVariables} passed as outputs - * to one of the execution methods, we can pull the values out automatically. - * - * For input definitions, it is similar. You just define the values you want used in - * {@link PythonVariables} and we will automatically generate code for defining those values - * as desired for running. This allows the user to customize values dynamically - * at runtime but reference them by name in a python script. - * - * - * @author Fariz Rahman - * @author Adam Gibson - */ - - -@Slf4j -public class PythonExecutioner { - - - private static AtomicBoolean init = new AtomicBoolean(false); - public final static String DEFAULT_PYTHON_PATH_PROPERTY = "org.datavec.python.path"; - public final static String JAVACPP_PYTHON_APPEND_TYPE = "org.datavec.python.javacpp.path.append"; - public final static String DEFAULT_APPEND_TYPE = "before"; - private final static String PYTHON_EXCEPTION_KEY = "__python_exception__"; - - static { - init(); - } - - - private static synchronized void init() { - if (init.get()) { - return; - } - initPythonPath(); - init.set(true); - log.info("CPython: PyEval_InitThreads()"); - PyEval_InitThreads(); - log.info("CPython: Py_InitializeEx()"); - Py_InitializeEx(0); - numpy._import_array(); - } - - private static synchronized void simpleExec(String code) throws PythonException{ - log.debug(code); - log.info("CPython: PyRun_SimpleStringFlag()"); - - int result = PyRun_SimpleStringFlags(code, null); - if (result != 0) { - throw new PythonException("Execution failed, unable to retrieve python exception."); - } - } - - public static boolean validateVariableName(String s) { - if (s.isEmpty()) return false; - if (!Character.isJavaIdentifierStart(s.charAt(0))) return false; - for (int i = 1; i < s.length(); i++) - if (!Character.isJavaIdentifierPart(s.charAt(i))) - return false; - return true; - } - - - /** - * Sets a variable in the global scope of the current context (See @PythonContextManager). - * This is equivalent to `exec("a = b");` where a is the variable name - * and b is the variable value. - * @param varName Name of the python variable being set. Should be a valid python identifier string - * @param pythonObject Value for the python variable - * @throws Exception - */ - public static void setVariable(String varName, PythonObject pythonObject) throws PythonException{ - if (!validateVariableName(varName)){ - throw new PythonException("Invalid variable name: " + varName); - } - Python.globals().set(new PythonObject(varName), pythonObject); - } - - public static void setVariable(String varName, PythonType varType, Object value) throws PythonException { - PythonObject pythonObject; - switch (varType.getName()) { - case STR: - pythonObject = new PythonObject(PythonType.STR.convert(value)); - break; - case INT: - pythonObject = new PythonObject(PythonType.INT.convert(value)); - break; - case FLOAT: - pythonObject = new PythonObject(PythonType.FLOAT.convert(value)); - break; - case BOOL: - pythonObject = new PythonObject(PythonType.BOOL.convert(value)); - break; - case NDARRAY: - pythonObject = new PythonObject(PythonType.NDARRAY.convert(value)); - break; - case LIST: - pythonObject = new PythonObject(PythonType.LIST.convert(value)); - break; - case DICT: - pythonObject = new PythonObject(PythonType.DICT.convert(value)); - break; - case BYTES: - pythonObject = new PythonObject(PythonType.BYTES.convert(value)); - break; - default: - throw new PythonException("Unsupported type: " + varType); - - } - setVariable(varName, pythonObject); - } - - public static void setVariables(PythonVariables pyVars) throws PythonException{ - if (pyVars == null) return; - for (String varName : pyVars.getVariables()) { - setVariable(varName, pyVars.getType(varName), pyVars.getValue(varName)); - } - } - - public static PythonObject getVariable(String varName) { - return Python.globals().attr("get").call(varName); - } - - public static T getVariable(String varName, PythonType varType) throws PythonException{ - PythonObject pythonObject = getVariable(varName); - return varType.toJava(pythonObject); - } - - public static void getVariables(PythonVariables pyVars) throws PythonException { - if (pyVars == null){ - return; - } - for (String varName : pyVars.getVariables()) { - pyVars.setValue(varName, getVariable(varName, pyVars.getType(varName))); - } - } - - - private static String getWrappedCode(String code) { - try (InputStream is = new ClassPathResource("pythonexec/pythonexec.py").getInputStream()) { - String base = IOUtils.toString(is, Charset.defaultCharset()); - StringBuffer indentedCode = new StringBuffer(); - for (String split : code.split("\n")) { - indentedCode.append(" " + split + "\n"); - - } - - String out = base.replace(" pass", indentedCode); - return out; - } catch (IOException e) { - throw new IllegalStateException("Unable to read python code!", e); - } - - } - - private static void throwIfExecutionFailed() throws PythonException{ - PythonObject ex = getVariable(PYTHON_EXCEPTION_KEY); - if (ex != null && !ex.isNone() && !ex.toString().isEmpty()) { - setVariable(PYTHON_EXCEPTION_KEY, new PythonObject("")); - throw new PythonException(ex); - } - } - - public static void exec(String code) throws PythonException { - simpleExec(getWrappedCode(code)); - throwIfExecutionFailed(); - } - - public static void exec(String code, PythonVariables inputVariables, PythonVariables outputVariables) throws PythonException { - setVariables(inputVariables); - simpleExec(getWrappedCode(code)); - throwIfExecutionFailed(); - getVariables(outputVariables); - } - - public static PythonVariables execAndReturnAllVariables(String code) throws PythonException { - simpleExec(getWrappedCode(code)); - throwIfExecutionFailed(); - PythonVariables out = new PythonVariables(); - PythonObject globals = Python.globals(); - PythonObject keysList = Python.list(globals.attr("keys")); - int numKeys = Python.len(keysList).toInt(); - for (int i = 0; i < numKeys; i++) { - PythonObject key = keysList.get(i); - String keyStr = key.toString(); - if (!keyStr.startsWith("_")) { - PythonObject val = globals.get(key); - if (Python.isinstance(val, intType())) { - out.addInt(keyStr, val.toInt()); - } else if (Python.isinstance(val, floatType())) { - out.addFloat(keyStr, val.toDouble()); - } else if (Python.isinstance(val, strType())) { - out.addStr(keyStr, val.toString()); - } else if (Python.isinstance(val, boolType())) { - out.addBool(keyStr, val.toBoolean()); - } else if (Python.isinstance(val, listType())) { - out.addList(keyStr, val.toList().toArray(new Object[0])); - } else if (Python.isinstance(val, dictType())) { - out.addDict(keyStr, val.toMap()); - } - } - } - return out; - - } - - public static PythonVariables getAllVariables() throws PythonException{ - PythonVariables out = new PythonVariables(); - PythonObject globals = Python.globals(); - PythonObject keysList = Python.list(globals.attr("keys").call()); - int numKeys = Python.len(keysList).toInt(); - for (int i = 0; i < numKeys; i++) { - PythonObject key = keysList.get(i); - String keyStr = key.toString(); - if (!keyStr.startsWith("_")) { - PythonObject val = globals.get(key); - if (Python.isinstance(val, intType())) { - out.addInt(keyStr, val.toInt()); - } else if (Python.isinstance(val, floatType())) { - out.addFloat(keyStr, val.toDouble()); - } else if (Python.isinstance(val, strType())) { - out.addStr(keyStr, val.toString()); - } else if (Python.isinstance(val, boolType())) { - out.addBool(keyStr, val.toBoolean()); - } else if (Python.isinstance(val, listType())) { - out.addList(keyStr, val.toList().toArray(new Object[0])); - } else if (Python.isinstance(val, dictType())) { - out.addDict(keyStr, val.toMap()); - } else { - PythonObject np = importModule("numpy"); - if (Python.isinstance(val, np.attr("ndarray"), np.attr("generic"))) { - out.addNDArray(keyStr, val.toNumpy()); - } - } - - } - } - return out; - } - - public static PythonVariables execAndReturnAllVariables(String code, PythonVariables inputs) throws Exception{ - setVariables(inputs); - simpleExec(getWrappedCode(code)); - return getAllVariables(); - } - - /** - * One of a few desired values - * for how we should handle - * using javacpp's python path. - * BEFORE: Prepend the python path alongside a defined one - * AFTER: Append the javacpp python path alongside the defined one - * NONE: Don't use javacpp's python path at all - */ - public enum JavaCppPathType { - BEFORE, AFTER, NONE - } - - /** - * Set the python path. - * Generally you can just use the PYTHONPATH environment variable, - * but if you need to set it from code, this can work as well. - */ - - public static synchronized void initPythonPath() { - if (!init.get()) { - try { - String path = System.getProperty(DEFAULT_PYTHON_PATH_PROPERTY); - if (path == null) { - log.info("Setting python default path"); - File[] packages = numpy.cachePackages(); - - //// TODO: fix in javacpp - File sitePackagesWindows = new File(python.cachePackage(), "site-packages"); - File[] packages2 = new File[packages.length + 1]; - System.arraycopy(packages, 0, packages2, 0, packages.length); - packages2[packages.length] = sitePackagesWindows; - //System.out.println(sitePackagesWindows.getAbsolutePath()); - packages = packages2; - ////////// - - Py_SetPath(packages); - } else { - log.info("Setting python path " + path); - StringBuffer sb = new StringBuffer(); - File[] packages = numpy.cachePackages(); - JavaCppPathType pathAppendValue = JavaCppPathType.valueOf(System.getProperty(JAVACPP_PYTHON_APPEND_TYPE, DEFAULT_APPEND_TYPE).toUpperCase()); - switch (pathAppendValue) { - case BEFORE: - for (File cacheDir : packages) { - sb.append(cacheDir); - sb.append(java.io.File.pathSeparator); - } - - sb.append(path); - - log.info("Prepending javacpp python path: {}", sb.toString()); - break; - case AFTER: - sb.append(path); - - for (File cacheDir : packages) { - sb.append(cacheDir); - sb.append(java.io.File.pathSeparator); - } - - log.info("Appending javacpp python path " + sb.toString()); - break; - case NONE: - log.info("Not appending javacpp path"); - sb.append(path); - break; - } - - //prepend the javacpp packages - log.info("Final python path: {}", sb.toString()); - - Py_SetPath(sb.toString()); - } - } catch (IOException e) { - log.error("Failed to set python path.", e); - } - } else { - throw new IllegalStateException("Unable to reset python path. Already initialized."); - } - } - -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonGIL.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonGIL.java deleted file mode 100644 index 564fccdfe..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonGIL.java +++ /dev/null @@ -1,66 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - - -package org.datavec.python; - -import lombok.extern.slf4j.Slf4j; -import org.bytedeco.cpython.PyThreadState; - -import static org.bytedeco.cpython.global.python.*; - - -@Slf4j -public class PythonGIL implements AutoCloseable { - private static PyThreadState mainThreadState; - - static { - log.debug("CPython: PyThreadState_Get()"); - mainThreadState = PyThreadState_Get(); - } - - private PythonGIL() { - acquire(); - } - - @Override - public void close() { - release(); - } - - public static PythonGIL lock() { - return new PythonGIL(); - } - - private static synchronized void acquire() { - log.debug("acquireGIL()"); - log.debug("CPython: PyEval_SaveThread()"); - mainThreadState = PyEval_SaveThread(); - log.debug("CPython: PyThreadState_New()"); - PyThreadState ts = PyThreadState_New(mainThreadState.interp()); - log.debug("CPython: PyEval_RestoreThread()"); - PyEval_RestoreThread(ts); - log.debug("CPython: PyThreadState_Swap()"); - PyThreadState_Swap(ts); - } - - private static synchronized void release() { - log.debug("CPython: PyEval_SaveThread()"); - PyEval_SaveThread(); - log.debug("CPython: PyEval_RestoreThread()"); - PyEval_RestoreThread(mainThreadState); - } -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonJob.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonJob.java deleted file mode 100644 index 9e23e9506..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonJob.java +++ /dev/null @@ -1,169 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - - -package org.datavec.python; - -import lombok.Builder; -import lombok.Data; -import lombok.NoArgsConstructor; - -import javax.annotation.Nonnull; - - -@Data -@NoArgsConstructor -/** - * PythonJob is the right abstraction for executing multiple python scripts - * in a multi thread stateful environment. The setup-and-run mode allows your - * "setup" code (imports, model loading etc) to be executed only once. - */ -public class PythonJob { - - private String code; - private String name; - private String context; - private boolean setupRunMode; - private PythonObject runF; - - static { - new PythonExecutioner(); - } - - @Builder - /** - * @param name Name for the python job. - * @param code Python code. - * @param setupRunMode If true, the python code is expected to have two methods: setup(), which takes no arguments, - * and run() which takes some or no arguments. setup() method is executed once, - * and the run() method is called with the inputs(if any) per transaction, and is expected to return a dictionary - * mapping from output variable names (str) to output values. - * If false, the full script is run on each transaction and the output variables are obtained from the global namespace - * after execution. - */ - public PythonJob(@Nonnull String name, @Nonnull String code, boolean setupRunMode) throws Exception { - this.name = name; - this.code = code; - this.setupRunMode = setupRunMode; - context = "__job_" + name; - if (PythonContextManager.hasContext(context)) { - throw new PythonException("Unable to create python job " + name + ". Context " + context + " already exists!"); - } - if (setupRunMode) setup(); - } - - - /** - * Clears all variables in current context and calls setup() - */ - public void clearState() throws Exception { - String context = this.context; - PythonContextManager.setContext("main"); - PythonContextManager.deleteContext(context); - this.context = context; - setup(); - } - - public void setup() throws Exception { - try (PythonGIL gil = PythonGIL.lock()) { - PythonContextManager.setContext(context); - PythonObject runF = PythonExecutioner.getVariable("run"); - if (runF.isNone() || !Python.callable(runF)) { - PythonExecutioner.exec(code); - runF = PythonExecutioner.getVariable("run"); - } - if (runF.isNone() || !Python.callable(runF)) { - throw new PythonException("run() method not found! " + - "If a PythonJob is created with 'setup and run' " + - "mode enabled, the associated python code is " + - "expected to contain a run() method " + - "(with or without arguments)."); - } - this.runF = runF; - PythonObject setupF = PythonExecutioner.getVariable("setup"); - if (!setupF.isNone()) { - setupF.call(); - } - } - } - - public void exec(PythonVariables inputs, PythonVariables outputs) throws Exception { - try (PythonGIL gil = PythonGIL.lock()) { - PythonContextManager.setContext(context); - if (!setupRunMode) { - PythonExecutioner.exec(code, inputs, outputs); - return; - } - PythonExecutioner.setVariables(inputs); - - PythonObject inspect = Python.importModule("inspect"); - PythonObject getfullargspec = inspect.attr("getfullargspec"); - PythonObject argspec = getfullargspec.call(runF); - PythonObject argsList = argspec.attr("args"); - PythonObject runargs = Python.dict(); - int argsCount = Python.len(argsList).toInt(); - for (int i = 0; i < argsCount; i++) { - PythonObject arg = argsList.get(i); - PythonObject val = Python.globals().get(arg); - if (val.isNone()) { - throw new PythonException("Input value not received for run() argument: " + arg.toString()); - } - runargs.set(arg, val); - } - PythonObject outDict = runF.callWithKwargs(runargs); - Python.globals().attr("update").call(outDict); - - PythonExecutioner.getVariables(outputs); - inspect.del(); - getfullargspec.del(); - argspec.del(); - runargs.del(); - } - } - - public PythonVariables execAndReturnAllVariables(PythonVariables inputs) throws Exception { - try (PythonGIL gil = PythonGIL.lock()) { - PythonContextManager.setContext(context); - if (!setupRunMode) { - return PythonExecutioner.execAndReturnAllVariables(code, inputs); - } - PythonExecutioner.setVariables(inputs); - PythonObject inspect = Python.importModule("inspect"); - PythonObject getfullargspec = inspect.attr("getfullargspec"); - PythonObject argspec = getfullargspec.call(runF); - PythonObject argsList = argspec.attr("args"); - PythonObject runargs = Python.dict(); - int argsCount = Python.len(argsList).toInt(); - for (int i = 0; i < argsCount; i++) { - PythonObject arg = argsList.get(i); - PythonObject val = Python.globals().get(arg); - if (val.isNone()) { - throw new PythonException("Input value not received for run() argument: " + arg.toString()); - } - runargs.set(arg, val); - } - PythonObject outDict = runF.callWithKwargs(runargs); - Python.globals().attr("update").call(outDict); - inspect.del(); - getfullargspec.del(); - argspec.del(); - runargs.del(); - return PythonExecutioner.getAllVariables(); - } - } - - -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonObject.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonObject.java deleted file mode 100644 index 4a6a617d5..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonObject.java +++ /dev/null @@ -1,588 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - - -package org.datavec.python; - - -import lombok.extern.slf4j.Slf4j; -import org.bytedeco.cpython.PyObject; -import org.bytedeco.javacpp.BytePointer; -import org.bytedeco.javacpp.Pointer; -import org.bytedeco.javacpp.SizeTPointer; -import org.bytedeco.numpy.PyArrayObject; -import org.json.JSONArray; -import org.json.JSONObject; -import org.nd4j.linalg.api.buffer.BaseDataBuffer; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.nativeblas.NativeOpsHolder; - -import java.util.*; - -import static org.bytedeco.cpython.global.python.*; -import static org.bytedeco.numpy.global.numpy.*; - -/** - * Swift like python wrapper for J - * - * @author Fariz Rahman - */ - -@Slf4j -public class PythonObject { - private PyObject nativePythonObject; - - static { - new PythonExecutioner(); - } - - private static Map _getNDArraySerializer() { - Map ndarraySerializer = new HashMap<>(); - PythonObject lambda = Python.eval( - "lambda x: " + - "{'address':" + - "x.__array_interface__['data'][0]," + - "'shape':x.shape,'strides':x.strides," + - "'dtype': str(x.dtype),'_is_numpy_array': True}" + - " if str(type(x))== \"\" else x"); - ndarraySerializer.put("default", - lambda); - return ndarraySerializer; - - } - - public PythonObject(PyObject pyObject) { - nativePythonObject = pyObject; - } - - public PythonObject(INDArray npArray) { - this(new NumpyArray(npArray)); - } - - public PythonObject(BytePointer bp){ - - long address = bp.address(); - long size = bp.capacity(); - NumpyArray npArr = NumpyArray.builder().address(address).shape(new long[]{size}).strides(new long[]{1}).dtype(DataType.INT8).build(); - nativePythonObject = Python.memoryview(new PythonObject(npArr)).nativePythonObject; - } - - public PythonObject(NumpyArray npArray) { - int numpyType; - INDArray indArray = npArray.getNd4jArray(); - DataType dataType = indArray.dataType(); - - switch (dataType) { - case DOUBLE: - numpyType = NPY_DOUBLE; - break; - case FLOAT: - case BFLOAT16: - numpyType = NPY_FLOAT; - break; - case SHORT: - numpyType = NPY_SHORT; - break; - case INT: - numpyType = NPY_INT; - break; - case LONG: - numpyType = NPY_INT64; - break; - case UINT16: - numpyType = NPY_USHORT; - break; - case UINT32: - numpyType = NPY_UINT; - break; - case UINT64: - numpyType = NPY_UINT64; - break; - case BOOL: - numpyType = NPY_BOOL; - break; - case BYTE: - numpyType = NPY_BYTE; - break; - case UBYTE: - numpyType = NPY_UBYTE; - break; - case HALF: - numpyType = NPY_HALF; - break; - default: - throw new RuntimeException("Unsupported dtype: " + npArray.getDtype()); - } - - long[] shape = indArray.shape(); - INDArray inputArray = indArray; - if(dataType == DataType.BFLOAT16) { - log.warn("\n\nThe given nd4j array \n\n{}\n\n is of BFLOAT16 datatype. " + - "Casting a copy of it to FLOAT and creating the respective numpy array from it.\n", indArray); - inputArray = indArray.castTo(DataType.FLOAT); - } - - //Sync to host memory in the case of CUDA, before passing the host memory pointer to Python - if(inputArray.data() instanceof BaseDataBuffer){ - ((BaseDataBuffer)inputArray.data()).syncToPrimary(); - } - - nativePythonObject = PyArray_New(PyArray_Type(), shape.length, new SizeTPointer(shape), - numpyType, null, - inputArray.data().addressPointer(), - 0, NPY_ARRAY_CARRAY, null); - - } - - /*---primitve constructors---*/ - public PyObject getNativePythonObject() { - return nativePythonObject; - } - - public PythonObject(String data) { - nativePythonObject = PyUnicode_FromString(data); - } - - public PythonObject(int data) { - nativePythonObject = PyLong_FromLong((long) data); - } - - public PythonObject(long data) { - nativePythonObject = PyLong_FromLong(data); - } - - public PythonObject(double data) { - nativePythonObject = PyFloat_FromDouble(data); - } - - public PythonObject(boolean data) { - nativePythonObject = PyBool_FromLong(data ? 1 : 0); - } - - private static PythonObject j2pyObject(Object item) { - if (item instanceof PythonObject) { - return (PythonObject) item; - } else if (item instanceof PyObject) { - return new PythonObject((PyObject) item); - } else if (item instanceof INDArray) { - return new PythonObject((INDArray) item); - } else if (item instanceof NumpyArray) { - return new PythonObject((NumpyArray) item); - } else if (item instanceof List) { - return new PythonObject((List) item); - } else if (item instanceof Object[]) { - return new PythonObject((Object[]) item); - } else if (item instanceof Map) { - return new PythonObject((Map) item); - } else if (item instanceof String) { - return new PythonObject((String) item); - } else if (item instanceof Double) { - return new PythonObject((Double) item); - } else if (item instanceof Float) { - return new PythonObject((Float) item); - } else if (item instanceof Long) { - return new PythonObject((Long) item); - } else if (item instanceof Integer) { - return new PythonObject((Integer) item); - } else if (item instanceof Boolean) { - return new PythonObject((Boolean) item); - } else if (item instanceof Pointer){ - return new PythonObject(new BytePointer((Pointer)item)); - } else { - throw new RuntimeException("Unsupported item in list: " + item); - } - } - - public PythonObject(Object[] data) { - PyObject pyList = PyList_New((long) data.length); - for (int i = 0; i < data.length; i++) { - PyList_SetItem(pyList, i, j2pyObject(data[i]).nativePythonObject); - } - nativePythonObject = pyList; - } - - public PythonObject(List data) { - PyObject pyList = PyList_New((long) data.size()); - for (int i = 0; i < data.size(); i++) { - PyList_SetItem(pyList, i, j2pyObject(data.get(i)).nativePythonObject); - } - nativePythonObject = pyList; - } - - public PythonObject(Map data) { - PyObject pyDict = PyDict_New(); - for (Object k : data.keySet()) { - PythonObject pyKey; - if (k instanceof PythonObject) { - pyKey = (PythonObject) k; - } else if (k instanceof String) { - pyKey = new PythonObject((String) k); - } else if (k instanceof Double) { - pyKey = new PythonObject((Double) k); - } else if (k instanceof Float) { - pyKey = new PythonObject((Float) k); - } else if (k instanceof Long) { - pyKey = new PythonObject((Long) k); - } else if (k instanceof Integer) { - pyKey = new PythonObject((Integer) k); - } else if (k instanceof Boolean) { - pyKey = new PythonObject((Boolean) k); - } else { - throw new RuntimeException("Unsupported key in map: " + k.getClass()); - } - Object v = data.get(k); - PythonObject pyVal; - if (v instanceof PythonObject) { - pyVal = (PythonObject) v; - } else if (v instanceof PyObject) { - pyVal = new PythonObject((PyObject) v); - } else if (v instanceof INDArray) { - pyVal = new PythonObject((INDArray) v); - } else if (v instanceof NumpyArray) { - pyVal = new PythonObject((NumpyArray) v); - } else if (v instanceof Map) { - pyVal = new PythonObject((Map) v); - } else if (v instanceof List) { - pyVal = new PythonObject((List) v); - } else if (v instanceof String) { - pyVal = new PythonObject((String) v); - } else if (v instanceof Double) { - pyVal = new PythonObject((Double) v); - } else if (v instanceof Float) { - pyVal = new PythonObject((Float) v); - } else if (v instanceof Long) { - pyVal = new PythonObject((Long) v); - } else if (v instanceof Integer) { - pyVal = new PythonObject((Integer) v); - } else if (v instanceof Boolean) { - pyVal = new PythonObject((Boolean) v); - } else { - throw new RuntimeException("Unsupported value in map: " + k.getClass()); - } - - PyDict_SetItem(pyDict, pyKey.nativePythonObject, pyVal.nativePythonObject); - - } - nativePythonObject = pyDict; - } - - - /*------*/ - - private static String pyObjectToString(PyObject pyObject) { - PyObject repr = PyObject_Str(pyObject); - PyObject str = PyUnicode_AsEncodedString(repr, "utf-8", "~E~"); - String jstr = PyBytes_AsString(str).getString(); - Py_DecRef(repr); - Py_DecRef(str); - return jstr; - } - - public String toString() { - return pyObjectToString(nativePythonObject); - } - - public double toDouble() { - return PyFloat_AsDouble(nativePythonObject); - } - - public float toFloat() { - return (float) PyFloat_AsDouble(nativePythonObject); - } - - public int toInt() { - return (int) PyLong_AsLong(nativePythonObject); - } - - public long toLong() { - return PyLong_AsLong(nativePythonObject); - } - - public boolean toBoolean() { - if (isNone()) return false; - return toInt() != 0; - } - - public NumpyArray toNumpy() throws PythonException{ - PyObject np = PyImport_ImportModule("numpy"); - PyObject ndarray = PyObject_GetAttrString(np, "ndarray"); - if (PyObject_IsInstance(nativePythonObject, ndarray) != 1){ - throw new PythonException("Object is not a numpy array! Use Python.ndarray() to convert object to a numpy array."); - } - Py_DecRef(ndarray); - Py_DecRef(np); - - Pointer objPtr = new Pointer(nativePythonObject); - PyArrayObject npArr = new PyArrayObject(objPtr); - Pointer ptr = PyArray_DATA(npArr); - long[] shape = new long[PyArray_NDIM(npArr)]; - SizeTPointer shapePtr = PyArray_SHAPE(npArr); - if (shapePtr != null) - shapePtr.get(shape, 0, shape.length); - long[] strides = new long[shape.length]; - SizeTPointer stridesPtr = PyArray_STRIDES(npArr); - if (stridesPtr != null) - stridesPtr.get(strides, 0, strides.length); - int npdtype = PyArray_TYPE(npArr); - - DataType dtype; - switch (npdtype){ - case NPY_DOUBLE: - dtype = DataType.DOUBLE; break; - case NPY_FLOAT: - dtype = DataType.FLOAT; break; - case NPY_SHORT: - dtype = DataType.SHORT; break; - case NPY_INT: - dtype = DataType.INT32; break; - case NPY_LONG: - dtype = DataType.LONG; break; - case NPY_UINT: - dtype = DataType.UINT32; break; - case NPY_BYTE: - dtype = DataType.INT8; break; - case NPY_UBYTE: - dtype = DataType.UINT8; break; - case NPY_BOOL: - dtype = DataType.BOOL; break; - case NPY_HALF: - dtype = DataType.FLOAT16; break; - case NPY_LONGLONG: - dtype = DataType.INT64; break; - case NPY_USHORT: - dtype = DataType.UINT16; break; - case NPY_ULONG: - case NPY_ULONGLONG: - dtype = DataType.UINT64; break; - default: - throw new PythonException("Unsupported array data type: " + npdtype); - } - - return new NumpyArray(ptr.address(), shape, strides, dtype); - - } - - public PythonObject attr(String attr) { - - return new PythonObject(PyObject_GetAttrString(nativePythonObject, attr)); - } - - public PythonObject call(Object... args) { - if (args.length > 0 && args[args.length - 1] instanceof Map) { - List args2 = new ArrayList<>(); - for (int i = 0; i < args.length - 1; i++) { - args2.add(args[i]); - } - return call(args2, (Map) args[args.length - 1]); - } - if (args.length == 0) { - return new PythonObject(PyObject_CallObject(nativePythonObject, null)); - } - PyObject tuple = PyTuple_New(args.length); // leaky; tuple may contain borrowed references, so can not be de-allocated. - for (int i = 0; i < args.length; i++) { - PyTuple_SetItem(tuple, i, j2pyObject(args[i]).nativePythonObject); - } - PythonObject ret = new PythonObject(PyObject_Call(nativePythonObject, tuple, null)); - return ret; - } - - public PythonObject callWithArgs(PythonObject args) { - PyObject tuple = PyList_AsTuple(args.nativePythonObject); - return new PythonObject(PyObject_Call(nativePythonObject, tuple, null)); - } - - public PythonObject callWithKwargs(PythonObject kwargs) { - PyObject tuple = PyTuple_New(0); - return new PythonObject(PyObject_Call(nativePythonObject, tuple, kwargs.nativePythonObject)); - } - - public PythonObject callWithArgsAndKwargs(PythonObject args, PythonObject kwargs) { - PyObject tuple = PyList_AsTuple(args.nativePythonObject); - PyObject dict = kwargs.nativePythonObject; - return new PythonObject(PyObject_Call(nativePythonObject, tuple, dict)); - } - - public PythonObject call(Map kwargs) { - PyObject dict = new PythonObject(kwargs).nativePythonObject; - PyObject tuple = PyTuple_New(0); - return new PythonObject(PyObject_Call(nativePythonObject, tuple, dict)); - } - - public PythonObject call(List args) { - PyObject tuple = PyList_AsTuple(new PythonObject(args).nativePythonObject); - return new PythonObject(PyObject_Call(nativePythonObject, tuple, null)); - } - - public PythonObject call(List args, Map kwargs) { - PyObject tuple = PyList_AsTuple(new PythonObject(args).nativePythonObject); - PyObject dict = new PythonObject(kwargs).nativePythonObject; - return new PythonObject(PyObject_Call(nativePythonObject, tuple, dict)); - } - - private PythonObject get(PyObject key) { - return new PythonObject( - PyObject_GetItem(nativePythonObject, key) - ); - } - - public PythonObject get(PythonObject key) { - return get(key.nativePythonObject); - } - - public PythonObject get(int key) { - return get(PyLong_FromLong((long) key)); - } - - public PythonObject get(long key) { - return new PythonObject( - PyObject_GetItem(nativePythonObject, PyLong_FromLong(key)) - ); - } - - public PythonObject get(double key) { - return new PythonObject( - PyObject_GetItem(nativePythonObject, PyFloat_FromDouble(key)) - ); - } - - public PythonObject get(String key) { - return get(new PythonObject(key)); - } - - public void set(PythonObject key, PythonObject value) { - PyObject_SetItem(nativePythonObject, key.nativePythonObject, value.nativePythonObject); - } - - public void del() { - Py_DecRef(nativePythonObject); - nativePythonObject = null; - } - - public JSONArray toJSONArray() throws PythonException { - PythonObject json = Python.importModule("json"); - PythonObject serialized = json.attr("dumps").call(this, _getNDArraySerializer()); - String jsonString = serialized.toString(); - return new JSONArray(jsonString); - } - - public JSONObject toJSONObject() throws PythonException { - PythonObject json = Python.importModule("json"); - PythonObject serialized = json.attr("dumps").call(this, _getNDArraySerializer()); - String jsonString = serialized.toString(); - return new JSONObject(jsonString); - } - - public List toList() throws PythonException{ - List list = new ArrayList(); - int n = Python.len(this).toInt(); - for (int i = 0; i < n; i++) { - PythonObject o = get(i); - if (Python.isinstance(o, Python.strType())) { - list.add(o.toString()); - } else if (Python.isinstance(o, Python.intType())) { - list.add(o.toLong()); - } else if (Python.isinstance(o, Python.floatType())) { - list.add(o.toDouble()); - } else if (Python.isinstance(o, Python.boolType())) { - list.add(o); - } else if (Python.isinstance(o, Python.listType(), Python.tupleType())) { - list.add(o.toList()); - } else if (Python.isinstance(o, Python.importModule("numpy").attr("ndarray"))) { - list.add(o.toNumpy().getNd4jArray()); - } else if (Python.isinstance(o, Python.dictType())) { - list.add(o.toMap()); - } else { - throw new RuntimeException("Error while converting python" + - " list to java List: Unable to serialize python " + - "object of type " + Python.type(this).toString()); - } - } - - return list; - } - - public Map toMap() throws PythonException{ - Map map = new HashMap(); - List keys = Python.list(attr("keys").call()).toList(); - List values = Python.list(attr("values").call()).toList(); - for (int i = 0; i < keys.size(); i++) { - map.put(keys.get(i), values.get(i)); - } - return map; - } - - public BytePointer toBytePointer() throws PythonException{ - if (Python.isinstance(this, Python.bytesType())){ - PyObject byteArray = PyByteArray_FromObject(nativePythonObject); - return PyByteArray_AsString(byteArray); - - } - else if (Python.isinstance(this, Python.bytearrayType())){ - return PyByteArray_AsString(nativePythonObject); - } - else if (Python.isinstance(this, Python.memoryviewType())){ - -// PyObject np = PyImport_ImportModule("numpy"); -// PyObject array = PyObject_GetAttrString(np, "asarray"); -// PyObject npArr = PyObject_CallObject(array, nativePythonObject); // Doesn't work - // Invoke interpreter: - String tempContext = "temp" + UUID.randomUUID().toString().replace('-', '_'); - String originalContext = Python.getCurrentContext(); - Python.setContext(tempContext); - PythonExecutioner.setVariable("memview", this); - PythonExecutioner.exec("import numpy as np\narr = np.frombuffer(memview, dtype='int8')"); - INDArray arr = PythonExecutioner.getVariable("arr").toNumpy().getNd4jArray(); - if(arr.data() instanceof BaseDataBuffer){ - ((BaseDataBuffer)arr.data()).syncToPrimary(); - } - BytePointer ret = new BytePointer(arr.data().pointer()); - Python.setContext(originalContext); - Python.deleteContext(tempContext); - return ret; - } else { - PyObject ctypes = PyImport_ImportModule("ctypes"); - PyObject cArrType = PyObject_GetAttrString(ctypes, "Array"); - if (PyObject_IsInstance(nativePythonObject, cArrType) != 0){ - PyObject cVoidP = PyObject_GetAttrString(ctypes, "c_void_p"); - PyObject cast = PyObject_GetAttrString(ctypes, "cast"); - PyObject argsTuple = PyTuple_New(2); - PyTuple_SetItem(argsTuple, 0, nativePythonObject); - PyTuple_SetItem(argsTuple, 1, cVoidP); - PyObject voidPtr = PyObject_Call(cast, argsTuple, null); - PyObject pyAddress = PyObject_GetAttrString(voidPtr, "value"); - long address = PyLong_AsLong(pyAddress); - long size = PyObject_Size(nativePythonObject); - Py_DecRef(ctypes); - Py_DecRef(cArrType); - Py_DecRef(argsTuple); - Py_DecRef(voidPtr); - Py_DecRef(pyAddress); - Pointer ptr = NativeOpsHolder.getInstance().getDeviceNativeOps().pointerForAddress(address); - ptr = ptr.limit(size); - ptr = ptr.capacity(size); - return new BytePointer(ptr); - } - else{ - throw new PythonException("Expected bytes, bytearray, memoryview or ctypesArray. Received " + Python.type(this).toString()); - } - } - } - public boolean isNone() { - return (nativePythonObject == null)|| - (toString().equals("None") && Python.type(this).toString().equals("")); - } -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonProcess.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonProcess.java deleted file mode 100644 index 377603ee2..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonProcess.java +++ /dev/null @@ -1,128 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - - -package org.datavec.python; - -import lombok.extern.slf4j.Slf4j; -import org.apache.commons.io.IOUtils; -import org.bytedeco.javacpp.Loader; - -import java.io.IOException; -import java.nio.charset.StandardCharsets; -import java.util.Arrays; - -@Slf4j -public class PythonProcess { - private static String pythonExecutable = Loader.load(org.bytedeco.cpython.python.class); - public static String runAndReturn(String... arguments)throws IOException, InterruptedException{ - String[] allArgs = new String[arguments.length + 1]; - System.arraycopy(arguments, 0, allArgs, 1, arguments.length); - allArgs[0] = pythonExecutable; - log.info("Executing command: " + Arrays.toString(allArgs)); - ProcessBuilder pb = new ProcessBuilder(allArgs); - Process process = pb.start(); - String out = IOUtils.toString(process.getInputStream(), StandardCharsets.UTF_8); - process.waitFor(); - return out; - - } - - public static void run(String... arguments)throws IOException, InterruptedException{ - String[] allArgs = new String[arguments.length + 1]; - System.arraycopy(arguments, 0, allArgs, 1, arguments.length); - allArgs[0] = pythonExecutable; - log.info("Executing command: " + Arrays.toString(allArgs)); - ProcessBuilder pb = new ProcessBuilder(allArgs); - pb.inheritIO().start().waitFor(); - } - public static void pipInstall(String packageName) throws PythonException{ - try{ - run("-m", "pip", "install", packageName); - }catch(Exception e){ - throw new PythonException("Error installing package " + packageName, e); - } - - } - - public static void pipInstall(String packageName, String version) throws PythonException{ - pipInstall(packageName + "==" + version); - } - - public static void pipUninstall(String packageName) throws PythonException{ - try{ - run("-m", "pip", "uninstall", packageName); - }catch(Exception e){ - throw new PythonException("Error uninstalling package " + packageName, e); - } - - } - public static void pipInstallFromGit(String gitRepoUrl) throws PythonException{ - if (!gitRepoUrl.contains("://")){ - gitRepoUrl = "git://" + gitRepoUrl; - } - try{ - run("-m", "pip", "install", "git+", gitRepoUrl); - }catch(Exception e){ - throw new PythonException("Error installing package from " + gitRepoUrl, e); - } - - } - - public static String getPackageVersion(String packageName) throws PythonException{ - String out; - try{ - out = runAndReturn("-m", "pip", "show", packageName); - } catch (Exception e){ - throw new PythonException("Error finding version for package " + packageName, e); - } - - if (!out.contains("Version: ")){ - throw new PythonException("Can't find package " + packageName); - } - String pkgVersion = out.split("Version: ")[1].split(System.lineSeparator())[0]; - return pkgVersion; - } - - public static boolean isPackageInstalled(String packageName)throws PythonException{ - try{ - String out = runAndReturn("-m", "pip", "show", packageName); - return !out.isEmpty(); - }catch (Exception e){ - throw new PythonException("Error checking if package is installed: " +packageName, e); - } - - } - - public static void pipInstallFromRequirementsTxt(String path) throws PythonException{ - try{ - run("-m", "pip", "install","-r", path); - }catch (Exception e){ - throw new PythonException("Error installing packages from " + path, e); - } - } - - public static void pipInstallFromSetupScript(String path, boolean inplace) throws PythonException{ - - try{ - run(path, inplace?"develop":"install"); - }catch (Exception e){ - throw new PythonException("Error installing package from " + path, e); - } - - } - -} \ No newline at end of file diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonTransform.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonTransform.java deleted file mode 100644 index d02de4411..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonTransform.java +++ /dev/null @@ -1,330 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import lombok.Builder; -import lombok.Data; -import lombok.NoArgsConstructor; -import org.datavec.api.transform.Transform; -import org.datavec.api.transform.schema.Schema; -import org.datavec.api.writable.*; -import org.nd4j.common.base.Preconditions; -import org.nd4j.common.holder.ObjectMapperHolder; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.shade.jackson.core.JsonProcessingException; - -import java.util.ArrayList; -import java.util.List; -import java.util.Map; -import java.util.UUID; - -import static org.datavec.python.PythonUtils.schemaToPythonVariables; - -/** - * Row-wise Transform that applies arbitrary python code on each row - * - * @author Fariz Rahman - */ - -@NoArgsConstructor -@Data -public class PythonTransform implements Transform { - - private String code; - private PythonVariables inputs; - private PythonVariables outputs; - private String name = UUID.randomUUID().toString(); - private Schema inputSchema; - private Schema outputSchema; - private String outputDict; - private boolean returnAllVariables; - private boolean setupAndRun = false; - private PythonJob pythonJob; - - - @Builder - public PythonTransform(String code, - PythonVariables inputs, - PythonVariables outputs, - String name, - Schema inputSchema, - Schema outputSchema, - String outputDict, - boolean returnAllInputs, - boolean setupAndRun) { - Preconditions.checkNotNull(code, "No code found to run!"); - this.code = code; - this.returnAllVariables = returnAllInputs; - this.setupAndRun = setupAndRun; - if (inputs != null) - this.inputs = inputs; - if (outputs != null) - this.outputs = outputs; - if (name != null) - this.name = name; - if (outputDict != null) { - this.outputDict = outputDict; - this.outputs = new PythonVariables(); - this.outputs.addDict(outputDict); - } - - try { - if (inputSchema != null) { - this.inputSchema = inputSchema; - if (inputs == null || inputs.isEmpty()) { - this.inputs = schemaToPythonVariables(inputSchema); - } - } - - if (outputSchema != null) { - this.outputSchema = outputSchema; - if (outputs == null || outputs.isEmpty()) { - this.outputs = schemaToPythonVariables(outputSchema); - } - } - } catch (Exception e) { - throw new IllegalStateException(e); - } - try{ - pythonJob = PythonJob.builder() - .name("a" + UUID.randomUUID().toString().replace("-", "_")) - .code(code) - .setupRunMode(setupAndRun) - .build(); - } - catch(Exception e){ - throw new IllegalStateException("Error creating python job: " + e); - } - - } - - - @Override - public void setInputSchema(Schema inputSchema) { - Preconditions.checkNotNull(inputSchema, "No input schema found!"); - this.inputSchema = inputSchema; - try { - inputs = schemaToPythonVariables(inputSchema); - } catch (Exception e) { - throw new RuntimeException(e); - } - if (outputSchema == null && outputDict == null) { - outputSchema = inputSchema; - } - - } - - @Override - public Schema getInputSchema() { - return inputSchema; - } - - @Override - public List> mapSequence(List> sequence) { - List> out = new ArrayList<>(); - for (List l : sequence) { - out.add(map(l)); - } - return out; - } - - @Override - public Object map(Object input) { - throw new UnsupportedOperationException("Not yet implemented"); - } - - @Override - public Object mapSequence(Object sequence) { - throw new UnsupportedOperationException("Not yet implemented"); - } - - - @Override - public List map(List writables) { - PythonVariables pyInputs = getPyInputsFromWritables(writables); - Preconditions.checkNotNull(pyInputs, "Inputs must not be null!"); - try { - if (returnAllVariables) { - return getWritablesFromPyOutputs(pythonJob.execAndReturnAllVariables(pyInputs)); - } - - if (outputDict != null) { - pythonJob.exec(pyInputs, outputs); - PythonVariables out = PythonUtils.expandInnerDict(outputs, outputDict); - return getWritablesFromPyOutputs(out); - } else { - pythonJob.exec(pyInputs, outputs); - - return getWritablesFromPyOutputs(outputs); - } - - } catch (Exception e) { - throw new RuntimeException(e); - } - } - - @Override - public String[] outputColumnNames() { - return outputs.getVariables(); - } - - @Override - public String outputColumnName() { - return outputColumnNames()[0]; - } - - @Override - public String[] columnNames() { - return outputs.getVariables(); - } - - @Override - public String columnName() { - return columnNames()[0]; - } - - public Schema transform(Schema inputSchema) { - return outputSchema; - } - - - private PythonVariables getPyInputsFromWritables(List writables) { - PythonVariables ret = new PythonVariables(); - - for (String name : inputs.getVariables()) { - int colIdx = inputSchema.getIndexOfColumn(name); - Writable w = writables.get(colIdx); - PythonType pyType = inputs.getType(name); - switch (pyType.getName()) { - case INT: - if (w instanceof LongWritable) { - ret.addInt(name, ((LongWritable) w).get()); - } else { - ret.addInt(name, ((IntWritable) w).get()); - } - break; - case FLOAT: - if (w instanceof DoubleWritable) { - ret.addFloat(name, ((DoubleWritable) w).get()); - } else { - ret.addFloat(name, ((FloatWritable) w).get()); - } - break; - case STR: - ret.addStr(name, w.toString()); - break; - case NDARRAY: - ret.addNDArray(name, ((NDArrayWritable) w).get()); - break; - case BOOL: - ret.addBool(name, ((BooleanWritable) w).get()); - break; - default: - throw new RuntimeException("Unsupported input type:" + pyType); - } - - } - return ret; - } - - private List getWritablesFromPyOutputs(PythonVariables pyOuts) { - List out = new ArrayList<>(); - String[] varNames; - varNames = pyOuts.getVariables(); - Schema.Builder schemaBuilder = new Schema.Builder(); - for (int i = 0; i < varNames.length; i++) { - String name = varNames[i]; - PythonType pyType = pyOuts.getType(name); - switch (pyType.getName()) { - case INT: - schemaBuilder.addColumnLong(name); - break; - case FLOAT: - schemaBuilder.addColumnDouble(name); - break; - case STR: - case DICT: - case LIST: - schemaBuilder.addColumnString(name); - break; - case NDARRAY: - INDArray arr = pyOuts.getNDArrayValue(name); - schemaBuilder.addColumnNDArray(name, arr.shape()); - break; - case BOOL: - schemaBuilder.addColumnBoolean(name); - break; - default: - throw new IllegalStateException("Unable to support type " + pyType.getName()); - } - } - this.outputSchema = schemaBuilder.build(); - - - for (int i = 0; i < varNames.length; i++) { - String name = varNames[i]; - PythonType pyType = pyOuts.getType(name); - - switch (pyType.getName()) { - case INT: - out.add(new LongWritable(pyOuts.getIntValue(name))); - break; - case FLOAT: - out.add(new DoubleWritable(pyOuts.getFloatValue(name))); - break; - case STR: - out.add(new Text(pyOuts.getStrValue(name))); - break; - case NDARRAY: - INDArray arr = pyOuts.getNDArrayValue(name); - out.add(new NDArrayWritable(arr)); - break; - case DICT: - Map dictValue = pyOuts.getDictValue(name); - Map noNullValues = new java.util.HashMap<>(); - for (Map.Entry entry : dictValue.entrySet()) { - if (entry.getValue() != org.json.JSONObject.NULL) { - noNullValues.put(entry.getKey(), entry.getValue()); - } - } - - try { - out.add(new Text(ObjectMapperHolder.getJsonMapper().writeValueAsString(noNullValues))); - } catch (JsonProcessingException e) { - throw new IllegalStateException("Unable to serialize dictionary " + name + " to json!"); - } - break; - case LIST: - Object[] listValue = pyOuts.getListValue(name).toArray(); - try { - out.add(new Text(ObjectMapperHolder.getJsonMapper().writeValueAsString(listValue))); - } catch (JsonProcessingException e) { - throw new IllegalStateException("Unable to serialize list vlaue " + name + " to json!"); - } - break; - case BOOL: - out.add(new BooleanWritable(pyOuts.getBooleanValue(name))); - break; - default: - throw new IllegalStateException("Unable to support type " + pyType.getName()); - } - } - return out; - } - - -} \ No newline at end of file diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonType.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonType.java deleted file mode 100644 index d0a3f488f..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonType.java +++ /dev/null @@ -1,238 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.bytedeco.javacpp.BytePointer; -import org.bytedeco.javacpp.Pointer; -import org.nd4j.linalg.api.ndarray.INDArray; - -import java.util.Arrays; -import java.util.List; -import java.util.Map; - -import static org.datavec.python.Python.importModule; - - -/** - * - * @param Corresponding Java type for the Python type - */ -public abstract class PythonType { - - public abstract T toJava(PythonObject pythonObject) throws PythonException; - private final TypeName typeName; - - public enum TypeName{ - STR, - INT, - FLOAT, - BOOL, - LIST, - DICT, - NDARRAY, - BYTES - } - private PythonType(TypeName typeName){ - this.typeName = typeName; - } - public TypeName getName(){return typeName;} - public String toString(){ - return getName().name(); - } - public static PythonType valueOf(String typeName) throws PythonException{ - try{ - typeName.valueOf(typeName); - } catch (IllegalArgumentException iae){ - throw new PythonException("Invalid python type: " + typeName, iae); - } - try{ - return (PythonType)PythonType.class.getField(typeName).get(null); // shouldn't fail - } catch (Exception e){ - throw new RuntimeException(e); - } - - } - public static PythonType valueOf(TypeName typeName){ - try{ - return valueOf(typeName.name()); // shouldn't fail - }catch (PythonException pe){ - throw new RuntimeException(pe); - } - } - - /** - * Since multiple java types can map to the same python type, - * this method "normalizes" all supported incoming objects to T - * - * @param object object to be converted to type T - * @return - */ - public T convert(Object object) throws PythonException { - return (T) object; - } - - public static final PythonType STR = new PythonType(TypeName.STR) { - @Override - public String toJava(PythonObject pythonObject) throws PythonException { - if (!Python.isinstance(pythonObject, Python.strType())) { - throw new PythonException("Expected variable to be str, but was " + Python.type(pythonObject)); - } - return pythonObject.toString(); - } - - @Override - public String convert(Object object) { - return object.toString(); - } - }; - - public static final PythonType INT = new PythonType(TypeName.INT) { - @Override - public Long toJava(PythonObject pythonObject) throws PythonException { - if (!Python.isinstance(pythonObject, Python.intType())) { - throw new PythonException("Expected variable to be int, but was " + Python.type(pythonObject)); - } - return pythonObject.toLong(); - } - - @Override - public Long convert(Object object) throws PythonException { - if (object instanceof Number) { - return ((Number) object).longValue(); - } - throw new PythonException("Unable to cast " + object + " to Long."); - } - }; - - public static final PythonType FLOAT = new PythonType(TypeName.FLOAT) { - @Override - public Double toJava(PythonObject pythonObject) throws PythonException { - if (!Python.isinstance(pythonObject, Python.floatType())) { - throw new PythonException("Expected variable to be float, but was " + Python.type(pythonObject)); - } - return pythonObject.toDouble(); - } - - @Override - public Double convert(Object object) throws PythonException { - if (object instanceof Number) { - return ((Number) object).doubleValue(); - } - throw new PythonException("Unable to cast " + object + " to Double."); - } - }; - - public static final PythonType BOOL = new PythonType(TypeName.BOOL) { - @Override - public Boolean toJava(PythonObject pythonObject) throws PythonException { - if (!Python.isinstance(pythonObject, Python.boolType())) { - throw new PythonException("Expected variable to be bool, but was " + Python.type(pythonObject)); - } - return pythonObject.toBoolean(); - } - - @Override - public Boolean convert(Object object) throws PythonException { - if (object instanceof Number) { - return ((Number) object).intValue() != 0; - } else if (object instanceof Boolean) { - return (Boolean) object; - } - throw new PythonException("Unable to cast " + object + " to Boolean."); - } - }; - - public static final PythonType LIST = new PythonType(TypeName.LIST) { - @Override - public List toJava(PythonObject pythonObject) throws PythonException { - if (!Python.isinstance(pythonObject, Python.listType())) { - throw new PythonException("Expected variable to be list, but was " + Python.type(pythonObject)); - } - return pythonObject.toList(); - } - - @Override - public List convert(Object object) throws PythonException { - if (object instanceof java.util.List) { - return (List) object; - } else if (object instanceof org.json.JSONArray) { - org.json.JSONArray jsonArray = (org.json.JSONArray) object; - return jsonArray.toList(); - - } else if (object instanceof Object[]) { - return Arrays.asList((Object[]) object); - } - throw new PythonException("Unable to cast " + object + " to List."); - } - }; - - public static final PythonType DICT = new PythonType(TypeName.DICT) { - @Override - public Map toJava(PythonObject pythonObject) throws PythonException { - if (!Python.isinstance(pythonObject, Python.dictType())) { - throw new PythonException("Expected variable to be dict, but was " + Python.type(pythonObject)); - } - return pythonObject.toMap(); - } - - @Override - public Map convert(Object object) throws PythonException { - if (object instanceof Map) { - return (Map) object; - } - throw new PythonException("Unable to cast " + object + " to Map."); - } - }; - - public static final PythonType NDARRAY = new PythonType(TypeName.NDARRAY) { - @Override - public INDArray toJava(PythonObject pythonObject) throws PythonException { - PythonObject np = importModule("numpy"); - if (!Python.isinstance(pythonObject, np.attr("ndarray"), np.attr("generic"))) { - throw new PythonException("Expected variable to be numpy.ndarray, but was " + Python.type(pythonObject)); - } - return pythonObject.toNumpy().getNd4jArray(); - } - - @Override - public INDArray convert(Object object) throws PythonException { - if (object instanceof INDArray) { - return (INDArray) object; - } else if (object instanceof NumpyArray) { - return ((NumpyArray) object).getNd4jArray(); - } - throw new PythonException("Unable to cast " + object + " to INDArray."); - } - }; - - public static final PythonType BYTES = new PythonType(TypeName.BYTES) { - @Override - public BytePointer toJava(PythonObject pythonObject) throws PythonException { - return pythonObject.toBytePointer(); - } - - @Override - public BytePointer convert(Object object) throws PythonException { - if (object instanceof BytePointer) { - return (BytePointer) object; - } else if (object instanceof Pointer) { - return new BytePointer((Pointer) object); - } - throw new PythonException("Unable to cast " + object + " to BytePointer."); - } - }; -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonUtils.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonUtils.java deleted file mode 100644 index d3e991b35..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonUtils.java +++ /dev/null @@ -1,297 +0,0 @@ -package org.datavec.python; - -import org.datavec.api.transform.ColumnType; -import org.datavec.api.transform.metadata.BooleanMetaData; -import org.datavec.api.transform.schema.Schema; -import org.json.JSONArray; -import org.json.JSONObject; -import org.nd4j.common.base.Preconditions; -import org.nd4j.linalg.api.buffer.DataType; - -import java.util.ArrayList; -import java.util.HashMap; -import java.util.List; -import java.util.Map; - -/** - * List of utilities for executing python transforms. - * - * @author Adam Gibson - */ -public class PythonUtils { - - /** - * Create a {@link Schema} - * from {@link PythonVariables}. - * Types are mapped to types of the same name. - * - * @param input the input {@link PythonVariables} - * @return the output {@link Schema} - */ - public static Schema fromPythonVariables(PythonVariables input) { - Schema.Builder schemaBuilder = new Schema.Builder(); - Preconditions.checkState(input.getVariables() != null && input.getVariables().length > 0, "Input must have variables. Found none."); - for (String varName: input.getVariables()) { - - switch (input.getType(varName).getName()) { - case INT: - schemaBuilder.addColumnInteger(varName); - break; - case STR: - schemaBuilder.addColumnString(varName); - break; - case FLOAT: - schemaBuilder.addColumnFloat(varName); - break; - case NDARRAY: - schemaBuilder.addColumnNDArray(varName, null); - break; - case BOOL: - schemaBuilder.addColumn(new BooleanMetaData(varName)); - } - } - - return schemaBuilder.build(); - } - - /** - * Create a {@link Schema} from an input - * {@link PythonVariables} - * Types are mapped to types of the same name - * - * @param input the input schema - * @return the output python variables. - */ - public static PythonVariables fromSchema(Schema input) { - PythonVariables ret = new PythonVariables(); - for (int i = 0; i < input.numColumns(); i++) { - String currColumnName = input.getName(i); - ColumnType columnType = input.getType(i); - switch (columnType) { - case NDArray: - ret.add(currColumnName, PythonType.NDARRAY); - break; - case Boolean: - ret.add(currColumnName, PythonType.BOOL); - break; - case Categorical: - case String: - ret.add(currColumnName, PythonType.STR); - break; - case Double: - case Float: - ret.add(currColumnName, PythonType.FLOAT); - break; - case Integer: - case Long: - ret.add(currColumnName, PythonType.INT); - break; - case Bytes: - ret.add(currColumnName, PythonType.BYTES); - break; - case Time: - throw new UnsupportedOperationException("Unable to process dates with python yet."); - } - } - - return ret; - } - - /** - * Convert a {@link Schema} - * to {@link PythonVariables} - * - * @param schema the input schema - * @return the output {@link PythonVariables} where each - * name in the map is associated with a column name in the schema. - * A proper type is also chosen based on the schema - * @throws Exception - */ - public static PythonVariables schemaToPythonVariables(Schema schema) throws Exception { - PythonVariables pyVars = new PythonVariables(); - int numCols = schema.numColumns(); - for (int i = 0; i < numCols; i++) { - String colName = schema.getName(i); - ColumnType colType = schema.getType(i); - switch (colType) { - case Long: - case Integer: - pyVars.addInt(colName); - break; - case Double: - case Float: - pyVars.addFloat(colName); - break; - case String: - pyVars.addStr(colName); - break; - case NDArray: - pyVars.addNDArray(colName); - break; - case Boolean: - pyVars.addBool(colName); - break; - default: - throw new Exception("Unsupported python input type: " + colType.toString()); - } - } - - return pyVars; - } - - - public static NumpyArray mapToNumpyArray(Map map) { - String dtypeName = (String) map.get("dtype"); - DataType dtype; - if (dtypeName.equals("float64")) { - dtype = DataType.DOUBLE; - } else if (dtypeName.equals("float32")) { - dtype = DataType.FLOAT; - } else if (dtypeName.equals("int16")) { - dtype = DataType.SHORT; - } else if (dtypeName.equals("int32")) { - dtype = DataType.INT; - } else if (dtypeName.equals("int64")) { - dtype = DataType.LONG; - } else { - throw new RuntimeException("Unsupported array type " + dtypeName + "."); - } - List shapeList = (List) map.get("shape"); - long[] shape = new long[shapeList.size()]; - for (int i = 0; i < shape.length; i++) { - shape[i] = (Long) shapeList.get(i); - } - - List strideList = (List) map.get("shape"); - long[] stride = new long[strideList.size()]; - for (int i = 0; i < stride.length; i++) { - stride[i] = (Long) strideList.get(i); - } - long address = (Long) map.get("address"); - NumpyArray numpyArray = new NumpyArray(address, shape, stride, dtype, true); - return numpyArray; - } - - public static PythonVariables expandInnerDict(PythonVariables pyvars, String key) { - Map dict = pyvars.getDictValue(key); - String[] keys = (String[]) dict.keySet().toArray(new String[dict.keySet().size()]); - PythonVariables pyvars2 = new PythonVariables(); - for (String subkey : keys) { - Object value = dict.get(subkey); - if (value instanceof Map) { - Map map = (Map) value; - if (map.containsKey("_is_numpy_array")) { - pyvars2.addNDArray(subkey, mapToNumpyArray(map)); - - } else { - pyvars2.addDict(subkey, (Map) value); - } - - } else if (value instanceof List) { - pyvars2.addList(subkey, ((List) value).toArray()); - } else if (value instanceof String) { - System.out.println((String) value); - pyvars2.addStr(subkey, (String) value); - } else if (value instanceof Integer || value instanceof Long) { - Number number = (Number) value; - pyvars2.addInt(subkey, number.intValue()); - } else if (value instanceof Float || value instanceof Double) { - Number number = (Number) value; - pyvars2.addFloat(subkey, number.doubleValue()); - } else if (value instanceof NumpyArray) { - pyvars2.addNDArray(subkey, (NumpyArray) value); - } else if (value == null) { - pyvars2.addStr(subkey, "None"); // FixMe - } else { - throw new RuntimeException("Unsupported type!" + value); - } - } - return pyvars2; - } - - public static long[] jsonArrayToLongArray(JSONArray jsonArray) { - long[] longs = new long[jsonArray.length()]; - for (int i = 0; i < longs.length; i++) { - - longs[i] = jsonArray.getLong(i); - } - return longs; - } - - public static Map toMap(JSONObject jsonobj) { - Map map = new HashMap<>(); - String[] keys = (String[]) jsonobj.keySet().toArray(new String[jsonobj.keySet().size()]); - for (String key : keys) { - Object value = jsonobj.get(key); - if (value instanceof JSONArray) { - value = toList((JSONArray) value); - } else if (value instanceof JSONObject) { - JSONObject jsonobj2 = (JSONObject) value; - if (jsonobj2.has("_is_numpy_array")) { - value = jsonToNumpyArray(jsonobj2); - } else { - value = toMap(jsonobj2); - } - - } - - map.put(key, value); - } - return map; - } - - - public static List toList(JSONArray array) { - List list = new ArrayList<>(); - for (int i = 0; i < array.length(); i++) { - Object value = array.get(i); - if (value instanceof JSONArray) { - value = toList((JSONArray) value); - } else if (value instanceof JSONObject) { - JSONObject jsonobj2 = (JSONObject) value; - if (jsonobj2.has("_is_numpy_array")) { - value = jsonToNumpyArray(jsonobj2); - } else { - value = toMap(jsonobj2); - } - } - list.add(value); - } - return list; - } - - - private static NumpyArray jsonToNumpyArray(JSONObject map) { - String dtypeName = (String) map.get("dtype"); - DataType dtype; - if (dtypeName.equals("float64")) { - dtype = DataType.DOUBLE; - } else if (dtypeName.equals("float32")) { - dtype = DataType.FLOAT; - } else if (dtypeName.equals("int16")) { - dtype = DataType.SHORT; - } else if (dtypeName.equals("int32")) { - dtype = DataType.INT; - } else if (dtypeName.equals("int64")) { - dtype = DataType.LONG; - } else { - throw new RuntimeException("Unsupported array type " + dtypeName + "."); - } - List shapeList = map.getJSONArray("shape").toList(); - long[] shape = new long[shapeList.size()]; - for (int i = 0; i < shape.length; i++) { - shape[i] = ((Number) shapeList.get(i)).longValue(); - } - - List strideList = map.getJSONArray("shape").toList(); - long[] stride = new long[strideList.size()]; - for (int i = 0; i < stride.length; i++) { - stride[i] = ((Number) strideList.get(i)).longValue(); - } - long address = ((Number) map.get("address")).longValue(); - NumpyArray numpyArray = new NumpyArray(address, shape, stride, dtype, true); - return numpyArray; - } - - -} diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/PythonVariables.java b/datavec/datavec-python/src/main/java/org/datavec/python/PythonVariables.java deleted file mode 100644 index cd058bc1a..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/PythonVariables.java +++ /dev/null @@ -1,526 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.bytedeco.javacpp.BytePointer; -import org.nd4j.linalg.api.ndarray.INDArray; - -import java.util.*; - - - -/** - * Holds python variable names, types and values. - * Also handles mapping from java types to python types. - * - * @author Fariz Rahman - */ - -@lombok.Data -public class PythonVariables implements java.io.Serializable { - - - private java.util.Map strVariables = new java.util.LinkedHashMap<>(); - private java.util.Map intVariables = new java.util.LinkedHashMap<>(); - private java.util.Map floatVariables = new java.util.LinkedHashMap<>(); - private java.util.Map boolVariables = new java.util.LinkedHashMap<>(); - private java.util.Map ndVars = new java.util.LinkedHashMap<>(); - private java.util.Map listVariables = new java.util.LinkedHashMap<>(); - private java.util.Map bytesVariables = new java.util.LinkedHashMap<>(); - private java.util.Map> dictVariables = new java.util.LinkedHashMap<>(); - private java.util.Map vars = new java.util.LinkedHashMap<>(); - private java.util.Map maps = new java.util.LinkedHashMap<>(); - - - /** - * Returns a copy of the variable - * schema in this array without the values - * - * @return an empty variables clone - * with no values - */ - public PythonVariables copySchema() { - PythonVariables ret = new PythonVariables(); - for (String varName : getVariables()) { - PythonType type = getType(varName); - ret.add(varName, type); - } - return ret; - } - - /** - * - */ - public PythonVariables() { - maps.put(PythonType.TypeName.BOOL, boolVariables); - maps.put(PythonType.TypeName.STR, strVariables); - maps.put(PythonType.TypeName.INT, intVariables); - maps.put(PythonType.TypeName.FLOAT, floatVariables); - maps.put(PythonType.TypeName.NDARRAY, ndVars); - maps.put(PythonType.TypeName.LIST, listVariables); - maps.put(PythonType.TypeName.DICT, dictVariables); - maps.put(PythonType.TypeName.BYTES, bytesVariables); - - } - - - /** - * @return true if there are no variables. - */ - public boolean isEmpty() { - return getVariables().length < 1; - } - - - /** - * @param name Name of the variable - * @param type Type of the variable - */ - public void add(String name, PythonType type) { - switch (type.getName()) { - case BOOL: - addBool(name); - break; - case STR: - addStr(name); - break; - case INT: - addInt(name); - break; - case FLOAT: - addFloat(name); - break; - case NDARRAY: - addNDArray(name); - break; - case LIST: - addList(name); - break; - case DICT: - addDict(name); - break; - case BYTES: - addBytes(name); - break; - } - } - - /** - * @param name name of the variable - * @param type type of the variable - * @param value value of the variable (must be instance of expected type) - */ - public void add(String name, PythonType type, Object value) throws PythonException { - add(name, type); - setValue(name, value); - } - - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addDict(String name) { - vars.put(name, PythonType.TypeName.DICT); - dictVariables.put(name, null); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addBool(String name) { - vars.put(name, PythonType.TypeName.BOOL); - boolVariables.put(name, null); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addStr(String name) { - vars.put(name, PythonType.TypeName.STR); - strVariables.put(name, null); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addInt(String name) { - vars.put(name, PythonType.TypeName.INT); - intVariables.put(name, null); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addFloat(String name) { - vars.put(name, PythonType.TypeName.FLOAT); - floatVariables.put(name, null); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addNDArray(String name) { - vars.put(name, PythonType.TypeName.NDARRAY); - ndVars.put(name, null); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - */ - public void addList(String name) { - vars.put(name, PythonType.TypeName.LIST); - listVariables.put(name, null); - } - - /** - * Add a boolean variable to - * the set of variables - * - * @param name the field to add - * @param value the value to add - */ - public void addBool(String name, boolean value) { - vars.put(name, PythonType.TypeName.BOOL); - boolVariables.put(name, value); - } - - /** - * Add a string variable to - * the set of variables - * - * @param name the field to add - * @param value the value to add - */ - public void addStr(String name, String value) { - vars.put(name, PythonType.TypeName.STR); - strVariables.put(name, value); - } - - /** - * Add an int variable to - * the set of variables - * - * @param name the field to add - * @param value the value to add - */ - public void addInt(String name, int value) { - vars.put(name, PythonType.TypeName.INT); - intVariables.put(name, (long) value); - } - - /** - * Add a long variable to - * the set of variables - * - * @param name the field to add - * @param value the value to add - */ - public void addInt(String name, long value) { - vars.put(name, PythonType.TypeName.INT); - intVariables.put(name, value); - } - - /** - * Add a double variable to - * the set of variables - * - * @param name the field to add - * @param value the value to add - */ - public void addFloat(String name, double value) { - vars.put(name, PythonType.TypeName.FLOAT); - floatVariables.put(name, value); - } - - /** - * Add a float variable to - * the set of variables - * - * @param name the field to add - * @param value the value to add - */ - public void addFloat(String name, float value) { - vars.put(name, PythonType.TypeName.FLOAT); - floatVariables.put(name, (double) value); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - * @param value the value to add - */ - public void addNDArray(String name, NumpyArray value) { - vars.put(name, PythonType.TypeName.NDARRAY); - ndVars.put(name, value.getNd4jArray()); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - * @param value the value to add - */ - public void addNDArray(String name, INDArray value) { - vars.put(name, PythonType.TypeName.NDARRAY); - ndVars.put(name, value); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - * @param value the value to add - */ - public void addList(String name, Object[] value) { - vars.put(name, PythonType.TypeName.LIST); - listVariables.put(name, Arrays.asList(value)); - } - - /** - * Add a null variable to - * the set of variables - * to describe the type but no value - * - * @param name the field to add - * @param value the value to add - */ - public void addDict(String name, java.util.Map value) { - vars.put(name, PythonType.TypeName.DICT); - dictVariables.put(name, value); - } - - - public void addBytes(String name){ - vars.put(name, PythonType.TypeName.BYTES); - bytesVariables.put(name, null); - } - - public void addBytes(String name, BytePointer value){ - vars.put(name, PythonType.TypeName.BYTES); - bytesVariables.put(name, value); - } - -// public void addBytes(String name, ByteBuffer value){ -// Pointer ptr = NativeOpsHolder.getInstance().getDeviceNativeOps().pointerForAddress((value.address()); -// BytePointer bp = new BytePointer(ptr); -// addBytes(name, bp); -// } - /** - * @param name name of the variable - * @param value new value for the variable - */ - public void setValue(String name, Object value) throws PythonException { - PythonType.TypeName type = vars.get(name); - maps.get(type).put(name, PythonType.valueOf(type).convert(value)); - } - - /** - * Do a general object lookup. - * The look up will happen relative to the {@link PythonType} - * of variable is described in the - * - * @param name the name of the variable to get - * @return teh value for the variable with the given name - */ - public Object getValue(String name) { - PythonType.TypeName type = vars.get(name); - java.util.Map map = maps.get(type); - return map.get(name); - } - - - /** - * Returns a boolean variable with the given name. - * - * @param name the variable name to get the value for - * @return the retrieved boolean value - */ - public boolean getBooleanValue(String name) { - return boolVariables.get(name); - } - - /** - * @param name the variable name - * @return the dictionary value - */ - public java.util.Map getDictValue(String name) { - return dictVariables.get(name); - } - - /** - * /** - * - * @param name the variable name - * @return the string value - */ - public String getStrValue(String name) { - return strVariables.get(name); - } - - /** - * @param name the variable name - * @return the long value - */ - public Long getIntValue(String name) { - return intVariables.get(name); - } - - /** - * @param name the variable name - * @return the float value - */ - public Double getFloatValue(String name) { - return floatVariables.get(name); - } - - /** - * @param name the variable name - * @return the numpy array value - */ - public INDArray getNDArrayValue(String name) { - return ndVars.get(name); - } - - /** - * @param name the variable name - * @return the list value as an object array - */ - public List getListValue(String name) { - return listVariables.get(name); - } - - /** - * @param name the variable name - * @return the bytes value as a BytePointer - */ - public BytePointer getBytesValue(String name){return bytesVariables.get(name);} - /** - * Returns the type for the given variable name - * - * @param name the name of the variable to get the type for - * @return the type for the given variable - */ - public PythonType getType(String name){ - try{ - return PythonType.valueOf(vars.get(name)); // will never fail - }catch (Exception e) - { - throw new RuntimeException(e); - } - } - - /** - * Get all the variables present as a string array - * - * @return the variable names for this variable sset - */ - public String[] getVariables() { - String[] strArr = new String[vars.size()]; - return vars.keySet().toArray(strArr); - } - - - /** - * This variables set as its json representation (an array of json objects) - * - * @return the json array output - */ - public org.json.JSONArray toJSON() { - org.json.JSONArray arr = new org.json.JSONArray(); - for (String varName : getVariables()) { - org.json.JSONObject var = new org.json.JSONObject(); - var.put("name", varName); - String varType = getType(varName).toString(); - var.put("type", varType); - arr.put(var); - } - return arr; - } - - /** - * Create a schema from a map. - * This is an empty PythonVariables - * that just contains names and types with no values - * - * @param inputTypes the input types to convert - * @return the schema from the given map - */ - public static PythonVariables schemaFromMap(java.util.Map inputTypes) throws Exception{ - PythonVariables ret = new PythonVariables(); - for (java.util.Map.Entry entry : inputTypes.entrySet()) { - ret.add(entry.getKey(), PythonType.valueOf(entry.getValue())); - } - - return ret; - } - - /** - * Get the python variable state relative to the - * input json array - * - * @param jsonArray the input json array - * @return the python variables based on the input json array - */ - public static PythonVariables fromJSON(org.json.JSONArray jsonArray) { - PythonVariables pyvars = new PythonVariables(); - for (int i = 0; i < jsonArray.length(); i++) { - org.json.JSONObject input = (org.json.JSONObject) jsonArray.get(i); - String varName = (String) input.get("name"); - String varType = (String) input.get("type"); - pyvars.maps.get(PythonType.TypeName.valueOf(varType)).put(varName, null); - } - - return pyvars; - } - - -} \ No newline at end of file diff --git a/datavec/datavec-python/src/main/java/org/datavec/python/keras/Model.java b/datavec/datavec-python/src/main/java/org/datavec/python/keras/Model.java deleted file mode 100644 index d8a9b0651..000000000 --- a/datavec/datavec-python/src/main/java/org/datavec/python/keras/Model.java +++ /dev/null @@ -1,144 +0,0 @@ -package org.datavec.python.keras; - -import org.datavec.python.Python; -import org.datavec.python.PythonException; -import org.datavec.python.PythonObject; -import org.datavec.python.PythonProcess; -import org.nd4j.linalg.api.ndarray.INDArray; - -public class Model { - - private PythonObject pyModel; - - - private static PythonObject installAndImportTF() throws PythonException{ - if (!PythonProcess.isPackageInstalled("tensorflow")){ - PythonProcess.pipInstall("tensorflow"); - } - return Python.importModule("tensorflow"); - } - private static PythonObject getKerasModule() throws PythonException{ - PythonObject tf = installAndImportTF(); - PythonObject keras = tf.attr("keras"); - tf.del(); - return keras; - } - - private static PythonObject loadModel(String s) throws PythonException{ - PythonObject models = getKerasModule().attr("models"); - PythonObject loadModelF = models.attr("load_model"); - PythonObject model = loadModelF.call(s); - models.del(); - loadModelF.del(); - return model; - } - - public Model(String path) throws PythonException{ - pyModel = loadModel(path); - } - - public INDArray[] predict(INDArray... inputs) throws PythonException{ - PythonObject predictF = pyModel.attr("predict"); - PythonObject inputList = new PythonObject(inputs); - PythonObject pyOut = predictF.call(inputList); - INDArray[] out; - if (Python.isinstance(pyOut, Python.listType())){ - out = new INDArray[Python.len(pyOut).toInt()]; - for(int i = 0; i < out.length; i++){ - out[i] = pyOut.get(i).toNumpy().getNd4jArray(); - } - } - else{ - out = new INDArray[]{ - pyOut.toNumpy().getNd4jArray()}; - } - - predictF.del(); - inputList.del(); - pyOut.del(); - return out; - } - - public int numInputs(){ - PythonObject inputs = pyModel.attr("inputs"); - PythonObject pyNumInputs = Python.len(inputs); - int ret = pyNumInputs.toInt(); - inputs.del(); - pyNumInputs.del(); - return ret; - } - public int numOutputs(){ - PythonObject outputs = pyModel.attr("outputs"); - PythonObject pyNumOutputs = Python.len(outputs); - int ret = pyNumOutputs.toInt(); - outputs.del(); - pyNumOutputs.del(); - return ret; - } - - public long[][] inputShapes(){ - long[][] ret = new long[numInputs()][]; - for (int i = 0; i < ret.length; i++){ - ret[i] = inputShapeAt(i); - } - return ret; - } - - public long[][] outputShapes(){ - long[][] ret = new long[numOutputs()][]; - for (int i = 0; i < ret.length; i++){ - ret[i] = outputShapeAt(i); - } - return ret; - } - - public long[] inputShapeAt(int input){ - PythonObject inputs = pyModel.attr("inputs"); - PythonObject tensor = inputs.get(input); - PythonObject tensorShape = tensor.attr("shape"); - PythonObject shapeList = Python.list(tensorShape); - PythonObject pyNdim = Python.len(shapeList); - int ndim = pyNdim.toInt(); - long[] shape = new long[ndim]; - for(int i = 0; i < shape.length; i++){ - PythonObject pyDim = shapeList.get(i); - if (pyDim == null || !Python.isinstance(pyDim, Python.intType())){ - shape[i] = -1; - } - else{ - shape[i] = pyDim.toLong(); - } - } - pyNdim.del(); - shapeList.del(); - tensorShape.del(); - tensor.del(); - inputs.del(); - return shape; - } - - public long[] outputShapeAt(int output){ - PythonObject inputs = pyModel.attr("outputs"); - PythonObject tensor = inputs.get(output); - PythonObject tensorShape = tensor.attr("shape"); - PythonObject shapeList = Python.list(tensorShape); - PythonObject pyNdim = Python.len(shapeList); - int ndim = pyNdim.toInt(); - long[] shape = new long[ndim]; - for(int i = 0; i < shape.length; i++){ - PythonObject pyDim = shapeList.get(i); - if (pyDim == null || !Python.isinstance(pyDim, Python.intType())){ - shape[i] = -1; - } - else{ - shape[i] = pyDim.toLong(); - } - } - pyNdim.del(); - shapeList.del(); - tensorShape.del(); - tensor.del(); - inputs.del(); - return shape; - } -} diff --git a/datavec/datavec-python/src/main/resources/pythonexec/pythonexec.py b/datavec/datavec-python/src/main/resources/pythonexec/pythonexec.py deleted file mode 100644 index 1509610c7..000000000 --- a/datavec/datavec-python/src/main/resources/pythonexec/pythonexec.py +++ /dev/null @@ -1,20 +0,0 @@ -import sys -import traceback -import json -import inspect - -__python_exception__ = "" -try: - pass - sys.stdout.flush() - sys.stderr.flush() -except Exception as ex: - __python_exception__ = ex - try: - exc_info = sys.exc_info() - finally: - print(ex) - traceback.print_exception(*exc_info) - sys.stdout.flush() - sys.stderr.flush() - diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/AssertTestsExtendBaseClass.java b/datavec/datavec-python/src/test/java/org/datavec/python/AssertTestsExtendBaseClass.java deleted file mode 100644 index 50e46e8f7..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/AssertTestsExtendBaseClass.java +++ /dev/null @@ -1,50 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ -package org.datavec.python; - -import lombok.extern.slf4j.Slf4j; -import org.nd4j.common.tests.AbstractAssertTestsClass; -import org.nd4j.common.tests.BaseND4JTest; - -import java.util.*; - -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseND4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - -@Slf4j -public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { - - @Override - protected Set> getExclusions() { - //Set of classes that are exclusions to the rule (either run manually or have their own logging + timeouts) - return new HashSet<>(); - } - - @Override - protected String getPackageName() { - return "org.datavec.python"; - } - - @Override - protected Class getBaseClass() { - return BaseND4JTest.class; - } -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/PythonNumpyTest.java b/datavec/datavec-python/src/test/java/org/datavec/python/PythonNumpyTest.java deleted file mode 100644 index 89ea83552..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/PythonNumpyTest.java +++ /dev/null @@ -1,76 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.junit.Test; -import org.junit.runner.RunWith; -import org.junit.runners.Parameterized; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.factory.Nd4j; - -import static junit.framework.TestCase.assertEquals; - -@RunWith(Parameterized.class) -public class PythonNumpyTest { - - @Parameterized.Parameters(name = "{index}: Testing with DataType={0}") - public static DataType[] data() { - return new DataType[] { - DataType.BOOL, - DataType.FLOAT16, - DataType.BFLOAT16, - DataType.FLOAT, - DataType.DOUBLE, - DataType.INT8, - DataType.INT16, - DataType.INT32, - DataType.INT64, - DataType.UINT8, - DataType.UINT16, - DataType.UINT32, - DataType.UINT64 - }; - } - - private DataType dataType; - - public PythonNumpyTest(DataType dataType) { - this.dataType = dataType; - } - - @Test - public void numpyAndNd4jConversions() throws Exception { - INDArray input = Nd4j.ones(dataType, 2, 2, 2); - - PythonVariables inputs = new PythonVariables(); - inputs.addNDArray("x", input); - - PythonVariables outputs = new PythonVariables(); - outputs.addNDArray("y"); - - PythonJob pythonJob = new PythonJob(String.format("job_%s", dataType.name()) + dataType.name(), "y = x", false); - - pythonJob.exec(inputs, outputs); - - INDArray output = outputs.getNDArrayValue("y"); - - // As numpy doesn't support BFLOAT16 we'll convert it to FLOAT - assertEquals(dataType == DataType.BFLOAT16 ? input.castTo(DataType.FLOAT) : input, - output); - } -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/ScalarAndArrayTest.java b/datavec/datavec-python/src/test/java/org/datavec/python/ScalarAndArrayTest.java deleted file mode 100644 index e6b1bf606..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/ScalarAndArrayTest.java +++ /dev/null @@ -1,48 +0,0 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.junit.Test; -import org.junit.runner.RunWith; -import org.junit.runners.Parameterized; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.factory.Nd4j; - -import static junit.framework.TestCase.assertEquals; - -@RunWith(Parameterized.class) -public class ScalarAndArrayTest { - - @Parameterized.Parameters(name = "{index}: Testing with INDArray={0}") - public static INDArray[] data() { - return new INDArray[]{ - Nd4j.scalar(10), - Nd4j.ones(10, 10, 10, 10) - }; - } - - private INDArray indArray; - - public ScalarAndArrayTest(INDArray indArray) { - this.indArray = indArray; - } - - @Test - public void testINDArray() throws PythonException { - assertEquals(indArray, new PythonObject(indArray).toNumpy().getNd4jArray()); - } -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonContextManager.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonContextManager.java deleted file mode 100644 index 4abad139f..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonContextManager.java +++ /dev/null @@ -1,87 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - - -import org.junit.Assert; -import org.junit.Test; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.factory.Nd4j; -import javax.annotation.concurrent.NotThreadSafe; - -@NotThreadSafe -public class TestPythonContextManager { - - @Test - public void testInt() throws Exception{ - Python.setContext("context1"); - Python.exec("a = 1"); - Python.setContext("context2"); - Python.exec("a = 2"); - Python.setContext("context3"); - Python.exec("a = 3"); - - - Python.setContext("context1"); - Assert.assertEquals(1, PythonExecutioner.getVariable("a").toInt()); - - Python.setContext("context2"); - Assert.assertEquals(2, PythonExecutioner.getVariable("a").toInt()); - - Python.setContext("context3"); - Assert.assertEquals(3, PythonExecutioner.getVariable("a").toInt()); - - PythonContextManager.deleteNonMainContexts(); - } - - @Test - public void testNDArray() throws Exception{ - Python.setContext("context1"); - Python.exec("import numpy as np"); - Python.exec("a = np.zeros((3,2)) + 1"); - - Python.setContext("context2"); - Python.exec("import numpy as np"); - Python.exec("a = np.zeros((3,2)) + 2"); - - Python.setContext("context3"); - Python.exec("import numpy as np"); - Python.exec("a = np.zeros((3,2)) + 3"); - - Python.setContext("context1"); - Python.exec("a += 1"); - - Python.setContext("context2"); - Python.exec("a += 2"); - - Python.setContext("context3"); - Python.exec("a += 3"); - - INDArray arr = Nd4j.create(DataType.DOUBLE, 3, 2); - Python.setContext("context1"); - Assert.assertEquals(arr.add(2), PythonExecutioner.getVariable("a").toNumpy().getNd4jArray()); - - Python.setContext("context2"); - Assert.assertEquals(arr.add(4), PythonExecutioner.getVariable("a").toNumpy().getNd4jArray()); - - Python.setContext("context3"); - Assert.assertEquals(arr.add(6), PythonExecutioner.getVariable("a").toNumpy().getNd4jArray()); - } - -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonDict.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonDict.java deleted file mode 100644 index 270228946..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonDict.java +++ /dev/null @@ -1,59 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - - -import org.junit.Test; -import org.nd4j.linalg.factory.Nd4j; - -import java.util.Arrays; -import java.util.HashMap; -import java.util.Map; - -import static org.junit.Assert.assertEquals; - -@javax.annotation.concurrent.NotThreadSafe -public class TestPythonDict { - - @Test - public void testPythonDictFromMap() throws Exception{ - Map map = new HashMap<>(); - map.put("a", 1); - map.put("b", "a"); - map.put("1", Arrays.asList(1, 2, 3, "4", Arrays.asList("x", 2.3))); - Map innerMap = new HashMap<>(); - innerMap.put("k", 32); - map.put("inner", innerMap); - map.put("ndarray", Nd4j.linspace(1, 4, 4)); - innerMap.put("ndarray", Nd4j.linspace(5, 8, 4)); - PythonObject dict = new PythonObject(map); - assertEquals(map.size(), Python.len(dict).toInt()); - assertEquals("{'a': 1, '1': [1, 2, 3, '4', ['" + - "x', 2.3]], 'b': 'a', 'inner': {'k': 32," + - " 'ndarray': array([5., 6., 7., 8.], dty" + - "pe=float32)}, 'ndarray': array([1., 2., " + - "3., 4.], dtype=float32)}", - dict.toString()); - Map map2 = dict.toMap(); - PythonObject dict2 = new PythonObject(map2); - assertEquals(dict.toString(), dict2.toString()); - - - } - -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonExecutioner.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonExecutioner.java deleted file mode 100644 index 027a534bc..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonExecutioner.java +++ /dev/null @@ -1,414 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.bytedeco.javacpp.BytePointer; -import org.junit.Assert; -import org.junit.Ignore; -import org.junit.Test; -import org.nd4j.linalg.api.buffer.BaseDataBuffer; -import org.nd4j.linalg.api.buffer.DataType; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.factory.Nd4j; -import org.nd4j.nativeblas.OpaqueDataBuffer; - -import java.lang.reflect.Method; - -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.fail; - - -@javax.annotation.concurrent.NotThreadSafe -public class TestPythonExecutioner { - - - @org.junit.Test - public void testPythonSysVersion() throws PythonException { - Python.exec("import sys; print(sys.version)"); - } - - @Test - public void testStr() throws Exception { - - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addStr("x", "Hello"); - pyInputs.addStr("y", "World"); - - pyOutputs.addStr("z"); - - String code = "z = x + ' ' + y"; - - Python.exec(code, pyInputs, pyOutputs); - - String z = pyOutputs.getStrValue("z"); - - System.out.println(z); - - assertEquals("Hello World", z); - } - - @Test - public void testInt() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addInt("x", 10); - pyInputs.addInt("y", 20); - - String code = "z = x + y"; - - pyOutputs.addInt("z"); - - - Python.exec(code, pyInputs, pyOutputs); - - long z = pyOutputs.getIntValue("z"); - - Assert.assertEquals(30, z); - - } - - @Test - public void testList() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - Object[] x = new Object[]{1L, 2L, 3L, "a", "b", "c"}; - Object[] y = new Object[]{4L, 5L, 6L, "d", "e", "f"}; - - pyInputs.addList("x", x); - pyInputs.addList("y", y); - - String code = "z = x + y"; - - pyOutputs.addList("z"); - - - Python.exec(code, pyInputs, pyOutputs); - - Object[] z = pyOutputs.getListValue("z").toArray(); - - Assert.assertEquals(z.length, x.length + y.length); - - for (int i = 0; i < x.length; i++) { - if (x[i] instanceof Number) { - Number xNum = (Number) x[i]; - Number zNum = (Number) z[i]; - Assert.assertEquals(xNum.intValue(), zNum.intValue()); - } else { - Assert.assertEquals(x[i], z[i]); - } - - } - for (int i = 0; i < y.length; i++) { - if (y[i] instanceof Number) { - Number yNum = (Number) y[i]; - Number zNum = (Number) z[x.length + i]; - Assert.assertEquals(yNum.intValue(), zNum.intValue()); - } else { - Assert.assertEquals(y[i], z[x.length + i]); - - } - - } - - } - - @Test - public void testNDArrayFloat() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addNDArray("x", Nd4j.zeros(DataType.FLOAT, 2, 3)); - pyInputs.addNDArray("y", Nd4j.ones(DataType.FLOAT, 2, 3)); - pyOutputs.addNDArray("z"); - - String code = "z = x + y"; - - Python.exec(code, pyInputs, pyOutputs); - INDArray z = pyOutputs.getNDArrayValue("z"); - - Assert.assertEquals(6.0, z.sum().getDouble(0), 1e-5); - - - } - - @Test - @Ignore - public void testTensorflowCustomAnaconda() throws PythonException { - Python.exec("import tensorflow as tf"); - } - - @Test - public void testNDArrayDouble() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addNDArray("x", Nd4j.zeros(DataType.DOUBLE, 2, 3)); - pyInputs.addNDArray("y", Nd4j.ones(DataType.DOUBLE, 2, 3)); - pyOutputs.addNDArray("z"); - - String code = "z = x + y"; - - Python.exec(code, pyInputs, pyOutputs); - INDArray z = pyOutputs.getNDArrayValue("z"); - - Assert.assertEquals(6.0, z.sum().getDouble(0), 1e-5); - } - - @Test - public void testNDArrayShort() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addNDArray("x", Nd4j.zeros(DataType.SHORT, 2, 3)); - pyInputs.addNDArray("y", Nd4j.ones(DataType.SHORT, 2, 3)); - pyOutputs.addNDArray("z"); - - String code = "z = x + y"; - - Python.exec(code, pyInputs, pyOutputs); - INDArray z = pyOutputs.getNDArrayValue("z"); - - Assert.assertEquals(6.0, z.sum().getDouble(0), 1e-5); - } - - - @Test - public void testNDArrayInt() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addNDArray("x", Nd4j.zeros(DataType.INT, 2, 3)); - pyInputs.addNDArray("y", Nd4j.ones(DataType.INT, 2, 3)); - pyOutputs.addNDArray("z"); - - String code = "z = x + y"; - - Python.exec(code, pyInputs, pyOutputs); - INDArray z = pyOutputs.getNDArrayValue("z"); - - Assert.assertEquals(6.0, z.sum().getDouble(0), 1e-5); - - } - - @Test - public void testNDArrayLong() throws Exception { - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addNDArray("x", Nd4j.zeros(DataType.LONG, 2, 3)); - pyInputs.addNDArray("y", Nd4j.ones(DataType.LONG, 2, 3)); - pyOutputs.addNDArray("z"); - - String code = "z = x + y"; - - Python.exec(code, pyInputs, pyOutputs); - INDArray z = pyOutputs.getNDArrayValue("z"); - - Assert.assertEquals(6.0, z.sum().getDouble(0), 1e-5); - - } - - - @Test - public void testNDArrayNoCopy() throws Exception{ - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - INDArray arr = Nd4j.rand(3, 2); - ((BaseDataBuffer)arr.data()).syncToPrimary(); - pyInputs.addNDArray("x", arr); - pyOutputs.addNDArray("x"); - INDArray expected = arr.mul(2.3); - String code = "x *= 2.3"; - Python.exec(code, pyInputs, pyOutputs); - Assert.assertEquals(pyInputs.getNDArrayValue("x"), pyOutputs.getNDArrayValue("x")); - Assert.assertEquals(expected, pyOutputs.getNDArrayValue("x")); - Assert.assertEquals(arr.data().address(), pyOutputs.getNDArrayValue("x").data().address()); - } - - @Test - public void testNDArrayInplace() throws Exception{ - PythonVariables pyInputs = new PythonVariables(); - INDArray arr = Nd4j.rand(3, 2); - ((BaseDataBuffer)arr.data()).syncToPrimary(); - pyInputs.addNDArray("x", arr); - INDArray expected = arr.mul(2.3); - String code = "x *= 2.3"; - Python.exec(code, pyInputs, null); - Assert.assertEquals(expected, arr); - } - - @Test - public void testByteBufferInput() throws Exception{ - //ByteBuffer buff = ByteBuffer.allocateDirect(3); - INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE); - buff.putScalar(0, 97); // a - buff.putScalar(1, 98); // b - buff.putScalar(2, 99); // c - ((BaseDataBuffer)buff.data()).syncToPrimary(); - PythonVariables pyInputs = new PythonVariables(); - pyInputs.addBytes("buff", new BytePointer(buff.data().pointer())); - - PythonVariables pyOutputs= new PythonVariables(); - pyOutputs.addStr("out"); - - String code = "out = bytes(buff).decode()"; - Python.exec(code, pyInputs, pyOutputs); - Assert.assertEquals("abc", pyOutputs.getStrValue("out")); - - } - - - @Test - public void testByteBufferOutputNoCopy() throws Exception{ - INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE); - buff.putScalar(0, 97); // a - buff.putScalar(1, 98); // b - buff.putScalar(2, 99); // c - ((BaseDataBuffer)buff.data()).syncToPrimary(); - - - PythonVariables pyInputs = new PythonVariables(); - pyInputs.addBytes("buff", new BytePointer(buff.data().pointer())); - - PythonVariables pyOutputs = new PythonVariables(); - pyOutputs.addBytes("buff"); // same name as input, because inplace update - - String code = "buff[0]=99\nbuff[1]=98\nbuff[2]=97"; - Python.exec(code, pyInputs, pyOutputs); - Assert.assertEquals("cba", pyOutputs.getBytesValue("buff").getString()); - Assert.assertEquals(buff.data().address(), pyOutputs.getBytesValue("buff").address()); - } - - @Test - public void testByteBufferInplace() throws Exception{ - INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE); - buff.putScalar(0, 97); // a - buff.putScalar(1, 98); // b - buff.putScalar(2, 99); // c - ((BaseDataBuffer)buff.data()).syncToPrimary(); - - PythonVariables pyInputs = new PythonVariables(); - pyInputs.addBytes("buff", new BytePointer(buff.data().pointer())); - String code = "buff[0]+=2\nbuff[2]-=2"; - Python.exec(code, pyInputs, null); - Assert.assertEquals("cba", pyInputs.getBytesValue("buff").getString()); - INDArray expected = buff.dup(); - expected.putScalar(0, 99); - expected.putScalar(2, 97); - Assert.assertEquals(buff, expected); - - } - - @Test - public void testByteBufferOutputWithCopy() throws Exception{ - INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE); - buff.putScalar(0, 97); // a - buff.putScalar(1, 98); // b - buff.putScalar(2, 99); // c - ((BaseDataBuffer)buff.data()).syncToPrimary(); - - - PythonVariables pyInputs = new PythonVariables(); - pyInputs.addBytes("buff", new BytePointer(buff.data().pointer())); - - PythonVariables pyOutputs = new PythonVariables(); - pyOutputs.addBytes("out"); - - String code = "buff[0]=99\nbuff[1]=98\nbuff[2]=97\nout=bytes(buff)"; - Python.exec(code, pyInputs, pyOutputs); - Assert.assertEquals("cba", pyOutputs.getBytesValue("out").getString()); - } - - @Test - public void testDoubleDeviceAllocation() throws Exception{ - if(!"CUDA".equalsIgnoreCase(Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend"))){ - return; - } - // Test to make sure that multiple device buffers are not allocated - // for the same host buffer - INDArray arr = Nd4j.rand(3, 2); - ((BaseDataBuffer)arr.data()).syncToPrimary(); - long deviceAddress1 = getDeviceAddress(arr); - PythonVariables pyInputs = new PythonVariables(); - pyInputs.addNDArray("arr", arr); - PythonVariables pyOutputs = new PythonVariables(); - pyOutputs.addNDArray("arr"); - String code = "arr += 2"; - Python.exec(code, pyInputs, pyOutputs); - INDArray arr2 = pyOutputs.getNDArrayValue("arr"); - long deviceAddress2 = getDeviceAddress(arr2); - Assert.assertEquals(deviceAddress1, deviceAddress2); - - - } - - @Test - public void testBadCode() throws Exception{ - Python.setContext("badcode"); - PythonVariables pyInputs = new PythonVariables(); - PythonVariables pyOutputs = new PythonVariables(); - - pyInputs.addNDArray("x", Nd4j.zeros(DataType.LONG, 2, 3)); - pyInputs.addNDArray("y", Nd4j.ones(DataType.LONG, 2, 3)); - pyOutputs.addNDArray("z"); - - String code = "z = x + a"; - - try{ - Python.exec(code, pyInputs, pyOutputs); - fail("No exception thrown"); - } catch (PythonException pe ){ - Assert.assertEquals("NameError: name 'a' is not defined", pe.getMessage()); - } - - Python.setMainContext(); - } - - @Test - public void testIsNone(){ - PythonObject d = Python.dict(); - PythonObject none = d.attr("get").call("x"); - Assert.assertTrue(none.isNone()); - d.set(new PythonObject("x"), new PythonObject("y")); - PythonObject notNone = d.attr("get").call("x"); - Assert.assertFalse(notNone.isNone()); - Assert.assertEquals("y", notNone.toString()); - } - - private static long getDeviceAddress(INDArray array){ - if(!"CUDA".equalsIgnoreCase(Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend"))){ - throw new IllegalStateException("Cannot ge device pointer for non-CUDA device"); - } - - //Use reflection here as OpaqueDataBuffer is only available on BaseCudaDataBuffer and BaseCpuDataBuffer - not DataBuffer/BaseDataBuffer - // due to it being defined in nd4j-native-api, not nd4j-api - try { - Class c = Class.forName("org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer"); - Method m = c.getMethod("getOpaqueDataBuffer"); - OpaqueDataBuffer db = (OpaqueDataBuffer) m.invoke(array.data()); - long address = db.specialBuffer().address(); - return address; - } catch (Throwable t){ - throw new RuntimeException("Error getting OpaqueDataBuffer", t); - } - } - -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonJob.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonJob.java deleted file mode 100644 index 1a39f8d07..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonJob.java +++ /dev/null @@ -1,323 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; -import org.junit.Test; -import org.nd4j.linalg.factory.Nd4j; - -import static org.junit.Assert.assertEquals; - - -@javax.annotation.concurrent.NotThreadSafe -public class TestPythonJob { - - @Test - public void testPythonJobBasic() throws Exception{ - PythonContextManager.deleteNonMainContexts(); - - String code = "c = a + b"; - PythonJob job = new PythonJob("job1", code, false); - - PythonVariables inputs = new PythonVariables(); - inputs.addInt("a", 2); - inputs.addInt("b", 3); - - PythonVariables outputs = new PythonVariables(); - outputs.addInt("c"); - - job.exec(inputs, outputs); - - assertEquals(5L, (long)outputs.getIntValue("c")); - - inputs = new PythonVariables(); - inputs.addFloat("a", 3.0); - inputs.addFloat("b", 4.0); - - outputs = new PythonVariables(); - outputs.addFloat("c"); - - - job.exec(inputs, outputs); - - assertEquals(7.0, outputs.getFloatValue("c"), 1e-5); - - - inputs = new PythonVariables(); - inputs.addNDArray("a", Nd4j.zeros(3, 2).add(4)); - inputs.addNDArray("b", Nd4j.zeros(3, 2).add(5)); - - outputs = new PythonVariables(); - outputs.addNDArray("c"); - - - job.exec(inputs, outputs); - - assertEquals(Nd4j.zeros(3, 2).add(9), outputs.getNDArrayValue("c")); - } - - @Test - public void testPythonJobReturnAllVariables()throws Exception{ - PythonContextManager.deleteNonMainContexts(); - - String code = "c = a + b"; - PythonJob job = new PythonJob("job1", code, false); - - PythonVariables inputs = new PythonVariables(); - inputs.addInt("a", 2); - inputs.addInt("b", 3); - - - PythonVariables outputs = job.execAndReturnAllVariables(inputs); - - assertEquals(5L, (long)outputs.getIntValue("c")); - - inputs = new PythonVariables(); - inputs.addFloat("a", 3.0); - inputs.addFloat("b", 4.0); - - outputs = job.execAndReturnAllVariables(inputs); - - assertEquals(7.0, outputs.getFloatValue("c"), 1e-5); - - - inputs = new PythonVariables(); - inputs.addNDArray("a", Nd4j.zeros(3, 2).add(4)); - inputs.addNDArray("b", Nd4j.zeros(3, 2).add(5)); - - outputs = job.execAndReturnAllVariables(inputs); - - assertEquals(Nd4j.zeros(3, 2).add(9), outputs.getNDArrayValue("c")); - } - - @Test - public void testMultiplePythonJobsParallel()throws Exception{ - PythonContextManager.deleteNonMainContexts(); - - String code1 = "c = a + b"; - PythonJob job1 = new PythonJob("job1", code1, false); - - String code2 = "c = a - b"; - PythonJob job2 = new PythonJob("job2", code2, false); - - PythonVariables inputs = new PythonVariables(); - inputs.addInt("a", 2); - inputs.addInt("b", 3); - - PythonVariables outputs = new PythonVariables(); - outputs.addInt("c"); - - job1.exec(inputs, outputs); - - assertEquals(5L, (long)outputs.getIntValue("c")); - - job2.exec(inputs, outputs); - - assertEquals(-1L, (long)outputs.getIntValue("c")); - - inputs = new PythonVariables(); - inputs.addFloat("a", 3.0); - inputs.addFloat("b", 4.0); - - outputs = new PythonVariables(); - outputs.addFloat("c"); - - - job1.exec(inputs, outputs); - - assertEquals(7.0, outputs.getFloatValue("c"), 1e-5); - - job2.exec(inputs, outputs); - - assertEquals(-1L, outputs.getFloatValue("c"), 1e-5); - - - inputs = new PythonVariables(); - inputs.addNDArray("a", Nd4j.zeros(3, 2).add(4)); - inputs.addNDArray("b", Nd4j.zeros(3, 2).add(5)); - - outputs = new PythonVariables(); - outputs.addNDArray("c"); - - - job1.exec(inputs, outputs); - - assertEquals(Nd4j.zeros(3, 2).add(9), outputs.getNDArrayValue("c")); - - job2.exec(inputs, outputs); - - assertEquals(Nd4j.zeros(3, 2).sub(1), outputs.getNDArrayValue("c")); - } - @Test - public void testPythonJobSetupRun()throws Exception{ - PythonContextManager.deleteNonMainContexts(); - - String code = "five=None\n" + - "def setup():\n" + - " global five\n"+ - " five = 5\n\n" + - "def run(a, b):\n" + - " c = a + b + five\n"+ - " return {'c':c}\n\n"; - PythonJob job = new PythonJob("job1", code, true); - - PythonVariables inputs = new PythonVariables(); - inputs.addInt("a", 2); - inputs.addInt("b", 3); - - PythonVariables outputs = new PythonVariables(); - outputs.addInt("c"); - - job.exec(inputs, outputs); - - assertEquals(10L, (long)outputs.getIntValue("c")); - - inputs = new PythonVariables(); - inputs.addFloat("a", 3.0); - inputs.addFloat("b", 4.0); - - outputs = new PythonVariables(); - outputs.addFloat("c"); - - - job.exec(inputs, outputs); - - assertEquals(12.0, outputs.getFloatValue("c"), 1e-5); - - - inputs = new PythonVariables(); - inputs.addNDArray("a", Nd4j.zeros(3, 2).add(4)); - inputs.addNDArray("b", Nd4j.zeros(3, 2).add(5)); - - outputs = new PythonVariables(); - outputs.addNDArray("c"); - - - job.exec(inputs, outputs); - - assertEquals(Nd4j.zeros(3, 2).add(14), outputs.getNDArrayValue("c")); - } - @Test - public void testPythonJobSetupRunAndReturnAllVariables()throws Exception{ - PythonContextManager.deleteNonMainContexts(); - - String code = "five=None\n" + - "def setup():\n" + - " global five\n"+ - " five = 5\n\n" + - "def run(a, b):\n" + - " c = a + b + five\n"+ - " return {'c':c}\n\n"; - PythonJob job = new PythonJob("job1", code, true); - - PythonVariables inputs = new PythonVariables(); - inputs.addInt("a", 2); - inputs.addInt("b", 3); - - - PythonVariables outputs = job.execAndReturnAllVariables(inputs); - - assertEquals(10L, (long)outputs.getIntValue("c")); - - inputs = new PythonVariables(); - inputs.addFloat("a", 3.0); - inputs.addFloat("b", 4.0); - - outputs = job.execAndReturnAllVariables(inputs); - - assertEquals(12.0, outputs.getFloatValue("c"), 1e-5); - - - inputs = new PythonVariables(); - inputs.addNDArray("a", Nd4j.zeros(3, 2).add(4)); - inputs.addNDArray("b", Nd4j.zeros(3, 2).add(5)); - - outputs = job.execAndReturnAllVariables(inputs); - - assertEquals(Nd4j.zeros(3, 2).add(14), outputs.getNDArrayValue("c")); - } - - @Test - public void testMultiplePythonJobsSetupRunParallel()throws Exception{ - PythonContextManager.deleteNonMainContexts(); - - String code1 = "five=None\n" + - "def setup():\n" + - " global five\n"+ - " five = 5\n\n" + - "def run(a, b):\n" + - " c = a + b + five\n"+ - " return {'c':c}\n\n"; - PythonJob job1 = new PythonJob("job1", code1, true); - - String code2 = "five=None\n" + - "def setup():\n" + - " global five\n"+ - " five = 5\n\n" + - "def run(a, b):\n" + - " c = a + b - five\n"+ - " return {'c':c}\n\n"; - PythonJob job2 = new PythonJob("job2", code2, true); - - PythonVariables inputs = new PythonVariables(); - inputs.addInt("a", 2); - inputs.addInt("b", 3); - - PythonVariables outputs = new PythonVariables(); - outputs.addInt("c"); - - job1.exec(inputs, outputs); - - assertEquals(10L, (long)outputs.getIntValue("c")); - - job2.exec(inputs, outputs); - - assertEquals(0L, (long)outputs.getIntValue("c")); - - inputs = new PythonVariables(); - inputs.addFloat("a", 3.0); - inputs.addFloat("b", 4.0); - - outputs = new PythonVariables(); - outputs.addFloat("c"); - - - job1.exec(inputs, outputs); - - assertEquals(12.0, outputs.getFloatValue("c"), 1e-5); - - job2.exec(inputs, outputs); - - assertEquals(2L, outputs.getFloatValue("c"), 1e-5); - - - inputs = new PythonVariables(); - inputs.addNDArray("a", Nd4j.zeros(3, 2).add(4)); - inputs.addNDArray("b", Nd4j.zeros(3, 2).add(5)); - - outputs = new PythonVariables(); - outputs.addNDArray("c"); - - - job1.exec(inputs, outputs); - - assertEquals(Nd4j.zeros(3, 2).add(14), outputs.getNDArrayValue("c")); - - job2.exec(inputs, outputs); - - assertEquals(Nd4j.zeros(3, 2).add(4), outputs.getNDArrayValue("c")); - } - -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonList.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonList.java deleted file mode 100644 index e1c0e1bad..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonList.java +++ /dev/null @@ -1,104 +0,0 @@ - -/******************************************************************************* - * Copyright (c) 2019 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - - -import org.junit.Test; -import org.nd4j.linalg.factory.Nd4j; - -import java.util.*; - -import static org.junit.Assert.assertEquals; - -@javax.annotation.concurrent.NotThreadSafe -public class TestPythonList { - - @Test - public void testPythonListFromIntArray() { - PythonObject pyList = new PythonObject(new Integer[]{1, 2, 3, 4, 5}); - pyList.attr("append").call(6); - pyList.attr("append").call(7); - pyList.attr("append").call(8); - assertEquals(8, Python.len(pyList).toInt()); - for (int i = 0; i < 8; i++) { - assertEquals(i + 1, pyList.get(i).toInt()); - } - - } - - @Test - public void testPythonListFromLongArray() { - PythonObject pyList = new PythonObject(new Long[]{1L, 2L, 3L, 4L, 5L}); - pyList.attr("append").call(6); - pyList.attr("append").call(7); - pyList.attr("append").call(8); - assertEquals(8, Python.len(pyList).toInt()); - for (int i = 0; i < 8; i++) { - assertEquals(i + 1, pyList.get(i).toInt()); - } - - } - - @Test - public void testPythonListFromDoubleArray() { - PythonObject pyList = new PythonObject(new Double[]{1., 2., 3., 4., 5.}); - pyList.attr("append").call(6); - pyList.attr("append").call(7); - pyList.attr("append").call(8); - assertEquals(8, Python.len(pyList).toInt()); - for (int i = 0; i < 8; i++) { - assertEquals(i + 1, pyList.get(i).toInt()); - assertEquals((double) i + 1, pyList.get(i).toDouble(), 1e-5); - } - - } - - @Test - public void testPythonListFromStringArray() { - PythonObject pyList = new PythonObject(new String[]{"abcd", "efg"}); - pyList.attr("append").call("hijk"); - pyList.attr("append").call("lmnop"); - assertEquals("abcdefghijklmnop", new PythonObject("").attr("join").call(pyList).toString()); - } - - @Test - public void testPythonListFromMixedArray()throws Exception { - Map map = new HashMap<>(); - map.put(1, "a"); - map.put("a", Arrays.asList("a", "b", "c")); - map.put("arr", Nd4j.linspace(1, 4, 4)); - Object[] objs = new Object[]{ - 1, 2, "a", 3f, 4L, 5.0, Arrays.asList(10, - 20, "b", 30f, 40L, 50.0, map - - ), map - }; - PythonObject pyList = new PythonObject(objs); - System.out.println(pyList.toString()); - String expectedStr = "[1, 2, 'a', 3.0, 4, 5.0, [10" + - ", 20, 'b', 30.0, 40, 50.0, {'arr': array([1.," + - " 2., 3., 4.], dtype=float32), 1: 'a', 'a': [" + - "'a', 'b', 'c']}], {'arr': array([1., 2., 3.," + - " 4.], dtype=float32), 1: 'a', 'a': ['a', 'b', 'c']}]"; - assertEquals(expectedStr, pyList.toString()); - List objs2 = pyList.toList(); - PythonObject pyList2 = new PythonObject(objs2); - assertEquals(pyList.toString(), pyList2.toString()); - } - -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonVariables.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonVariables.java deleted file mode 100644 index 20adb720f..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestPythonVariables.java +++ /dev/null @@ -1,98 +0,0 @@ -/* - * - * * ****************************************************************************** - * * * Copyright (c) 2015-2019 Skymind Inc. - * * * Copyright (c) 2019 Konduit AI. - * * * - * * * This program and the accompanying materials are made available under the - * * * terms of the Apache License, Version 2.0 which is available at - * * * https://www.apache.org/licenses/LICENSE-2.0. - * * * - * * * Unless required by applicable law or agreed to in writing, software - * * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * * * License for the specific language governing permissions and limitations - * * * under the License. - * * * - * * * SPDX-License-Identifier: Apache-2.0 - * * ***************************************************************************** - * - * - */ - -package org.datavec.python; - -import org.bytedeco.javacpp.BytePointer; -import org.junit.Test; -import org.nd4j.linalg.api.buffer.BaseDataBuffer; -import org.nd4j.linalg.api.ndarray.INDArray; -import org.nd4j.linalg.factory.Nd4j; - -import java.util.Arrays; -import java.util.Collections; -import java.util.List; - -import static junit.framework.TestCase.assertNotNull; -import static junit.framework.TestCase.assertNull; -import static org.junit.Assert.assertArrayEquals; -import static org.junit.Assert.assertEquals; -import static org.junit.Assert.assertTrue; - -public class TestPythonVariables { - - @Test - public void testDataAssociations() throws PythonException{ - PythonVariables pythonVariables = new PythonVariables(); - PythonType[] types = { - PythonType.INT, - PythonType.FLOAT, - PythonType.STR, - PythonType.BOOL, - PythonType.DICT, - PythonType.LIST, - PythonType.LIST, - PythonType.NDARRAY, - PythonType.BYTES - }; - - INDArray arr = Nd4j.scalar(1.0); - ((BaseDataBuffer)arr.data()).syncToPrimary(); - BytePointer bp = new BytePointer(arr.data().pointer()); - Object[] values = { - 1L,1.0,"1",true, Collections.singletonMap("1",1), - new Object[]{1}, Arrays.asList(1), arr, bp - }; - - Object[] expectedValues = { - 1L,1.0,"1",true, Collections.singletonMap("1",1), - Arrays.asList(1), Arrays.asList(1), arr, bp - }; - - for(int i = 0; i < types.length; i++) { - testInsertGet(pythonVariables,types[i].getName().name() + i,values[i],types[i],expectedValues[i]); - } - - assertEquals(types.length,pythonVariables.getVariables().length); - - } - - private void testInsertGet(PythonVariables pythonVariables,String key,Object value,PythonType type,Object expectedValue) throws PythonException{ - pythonVariables.add(key, type); - assertNull(pythonVariables.getValue(key)); - pythonVariables.setValue(key,value); - assertNotNull(pythonVariables.getValue(key)); - Object actualValue = pythonVariables.getValue(key); - if (expectedValue instanceof Object[]){ - assertTrue(actualValue instanceof List); - Object[] actualArr = ((List)actualValue).toArray(); - Object[] expectedArr = (Object[])expectedValue; - assertArrayEquals(expectedArr, actualArr); - } - else{ - assertEquals(expectedValue,pythonVariables.getValue(key)); - } - - } - - -} diff --git a/datavec/datavec-python/src/test/java/org/datavec/python/TestSerde.java b/datavec/datavec-python/src/test/java/org/datavec/python/TestSerde.java deleted file mode 100644 index 71d37ca91..000000000 --- a/datavec/datavec-python/src/test/java/org/datavec/python/TestSerde.java +++ /dev/null @@ -1,53 +0,0 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ - -package org.datavec.python; - -import org.datavec.api.transform.Transform; -import org.datavec.api.transform.schema.Schema; -import org.datavec.api.transform.serde.JsonSerializer; -import org.datavec.api.transform.serde.YamlSerializer; -import static org.junit.Assert.assertEquals; -import org.junit.Test; - -public class TestSerde { - - public static YamlSerializer y = new YamlSerializer(); - public static JsonSerializer j = new JsonSerializer(); - - @Test(timeout = 60000L) - public void testBasicSerde(){ - Schema schema = new Schema.Builder() - .addColumnInteger("col1") - .addColumnFloat("col2") - .addColumnString("col3") - .addColumnDouble("col4") - .build(); - - Transform t = PythonTransform.builder().code( - "col1+=3\ncol2+=2\ncol3+='a'\ncol4+=2.0" - ).inputSchema(schema).outputSchema(schema).build(); - - String yaml = y.serialize(t); - String json = j.serialize(t); - - Transform t2 = y.deserializeTransform(yaml); - Transform t3 = j.deserializeTransform(json); - assertEquals(t, t2); - assertEquals(t, t3); - } - -} diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/pom.xml b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/pom.xml index ff8bdb853..c69e1abcb 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/pom.xml +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/pom.xml @@ -1,34 +1,40 @@ - + + + + - - - datavec-spark-inference-parent - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-spark-inference-parent + 1.0.0-SNAPSHOT + + datavec-spark-inference-client - jar datavec-spark-inference-client - org.datavec @@ -36,22 +42,14 @@ 1.0.0-SNAPSHOT test - - com.mashape.unirest - unirest-java - ${unirest.version} - org.datavec datavec-spark-inference-model ${project.parent.version} - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test + com.mashape.unirest + unirest-java diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/main/java/org/datavec/spark/inference/client/DataVecTransformClient.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/main/java/org/datavec/spark/inference/client/DataVecTransformClient.java index 978753451..8a346b096 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/main/java/org/datavec/spark/inference/client/DataVecTransformClient.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/main/java/org/datavec/spark/inference/client/DataVecTransformClient.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.client; @@ -30,9 +34,6 @@ import org.nd4j.shade.jackson.core.JsonProcessingException; import java.io.IOException; -/** - * Created by agibsonccc on 6/12/17. - */ @AllArgsConstructor @Slf4j public class DataVecTransformClient implements DataVecTransformService { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/AssertTestsExtendBaseClass.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/AssertTestsExtendBaseClass.java index a919a8fd9..de2970b27 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.transform.client; import lombok.extern.slf4j.Slf4j; @@ -20,14 +24,6 @@ import org.nd4j.common.tests.AbstractAssertTestsClass; import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/DataVecTransformClientTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/DataVecTransformClientTest.java index 7ec08b613..6619ec443 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/DataVecTransformClientTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-client/src/test/java/org/datavec/transform/client/DataVecTransformClientTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.transform.client; @@ -42,9 +46,6 @@ import java.util.UUID; import static org.junit.Assert.assertEquals; import static org.junit.Assume.assumeNotNull; -/** - * Created by agibsonccc on 6/12/17. - */ public class DataVecTransformClientTest { private static CSVSparkTransformServer server; private static int port = getAvailablePort(); diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/pom.xml b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/pom.xml index 68a78450d..fe9ca985a 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/pom.xml +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/pom.xml @@ -1,34 +1,40 @@ - + + + + - - - datavec-spark-inference-parent - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-spark-inference-parent + 1.0.0-SNAPSHOT + + datavec-spark-inference-model - jar datavec-spark-inference-model - org.datavec @@ -38,20 +44,12 @@ org.datavec datavec-data-image - ${datavec.version} org.datavec datavec-local ${project.version} - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/CSVSparkTransform.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/CSVSparkTransform.java index 6b3c80800..e081708e0 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/CSVSparkTransform.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/CSVSparkTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model; @@ -46,12 +50,6 @@ import static org.datavec.arrow.ArrowConverter.*; import static org.datavec.local.transforms.LocalTransformExecutor.execute; import static org.datavec.local.transforms.LocalTransformExecutor.executeToSequence; -/** - * CSVSpark Transform runs - * the actual {@link TransformProcess} - * - * @author Adan Gibson - */ @AllArgsConstructor @Slf4j public class CSVSparkTransform { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/ImageSparkTransform.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/ImageSparkTransform.java index 1e30d1ead..a004c439b 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/ImageSparkTransform.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/ImageSparkTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model; @@ -31,9 +35,6 @@ import java.io.IOException; import java.util.ArrayList; import java.util.List; -/** - * Created by kepricon on 17. 5. 24. - */ @AllArgsConstructor public class ImageSparkTransform { @Getter diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/Base64NDArrayBody.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/Base64NDArrayBody.java index b2a6b9dc3..0d6c680ad 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/Base64NDArrayBody.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/Base64NDArrayBody.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.model; @@ -20,9 +24,6 @@ import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; -/** - * Created by agibsonccc on 12/24/16. - */ @Data @AllArgsConstructor @NoArgsConstructor diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchCSVRecord.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchCSVRecord.java index bba2621c6..82ecedc51 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchCSVRecord.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchCSVRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.model; @@ -27,9 +31,6 @@ import java.io.Serializable; import java.util.ArrayList; import java.util.List; -/** - * Created by agibsonccc on 1/21/17. - */ @Data @AllArgsConstructor @Builder diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchImageRecord.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchImageRecord.java index 5d7b52c4f..ff101c659 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchImageRecord.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/BatchImageRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.model; @@ -24,9 +28,6 @@ import java.net.URI; import java.util.ArrayList; import java.util.List; -/** - * Created by kepricon on 17. 5. 24. - */ @Data @AllArgsConstructor @NoArgsConstructor diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SequenceBatchCSVRecord.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SequenceBatchCSVRecord.java index bbbb64f8d..eed4fac59 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SequenceBatchCSVRecord.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SequenceBatchCSVRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.model; @@ -30,9 +34,6 @@ import java.util.Arrays; import java.util.Collections; import java.util.List; -/** - * Created by agibsonccc on 1/21/17. - */ @Data @AllArgsConstructor @Builder diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleCSVRecord.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleCSVRecord.java index 62ab812b4..575a91918 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleCSVRecord.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleCSVRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.model; @@ -25,9 +29,6 @@ import java.io.Serializable; import java.util.Arrays; import java.util.List; -/** - * Created by agibsonccc on 12/24/16. - */ @Data @AllArgsConstructor @NoArgsConstructor diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleImageRecord.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleImageRecord.java index e864bcd9d..9fe3df042 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleImageRecord.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/model/SingleImageRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.model; @@ -22,9 +26,6 @@ import lombok.NoArgsConstructor; import java.net.URI; -/** - * Created by kepricon on 17. 5. 24. - */ @Data @AllArgsConstructor @NoArgsConstructor diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/service/DataVecTransformService.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/service/DataVecTransformService.java index caefc649f..c23dd562c 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/service/DataVecTransformService.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/main/java/org/datavec/spark/inference/model/service/DataVecTransformService.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.model.service; @@ -22,9 +26,6 @@ import org.datavec.spark.inference.model.model.*; import java.io.IOException; -/** - * Created by agibsonccc on 6/12/17. - */ public interface DataVecTransformService { String SEQUENCE_OR_NOT_HEADER = "Sequence"; diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java index 56e24fef3..ab76b206e 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/BatchCSVRecordTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/BatchCSVRecordTest.java index 7b0bdbf11..a5ce6c474 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/BatchCSVRecordTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/BatchCSVRecordTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -23,9 +27,6 @@ import org.nd4j.linalg.factory.Nd4j; import static org.junit.Assert.assertEquals; -/** - * Created by agibsonccc on 2/12/17. - */ public class BatchCSVRecordTest { @Test diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/CSVSparkTransformTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/CSVSparkTransformTest.java index 72947bc8c..7d1fe5f3b 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/CSVSparkTransformTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/CSVSparkTransformTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -36,9 +40,6 @@ import java.util.*; import static org.junit.Assert.*; -/** - * Created by agibsonccc on 12/24/16. - */ public class CSVSparkTransformTest { @Test public void testTransformer() throws Exception { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/ImageSparkTransformTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/ImageSparkTransformTest.java index 080b339b8..415730b18 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/ImageSparkTransformTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/ImageSparkTransformTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -32,9 +36,6 @@ import java.io.File; import static org.junit.Assert.assertEquals; -/** - * Created by kepricon on 17. 5. 24. - */ public class ImageSparkTransformTest { @Rule diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleCSVRecordTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleCSVRecordTest.java index 0a8e1f14e..599f8eead 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleCSVRecordTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleCSVRecordTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -24,9 +28,6 @@ import org.nd4j.linalg.factory.Nd4j; import static org.junit.Assert.assertEquals; import static org.junit.Assert.fail; -/** - * Created by agibsonccc on 2/12/17. - */ public class SingleCSVRecordTest { @Test(expected = IllegalArgumentException.class) diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleImageRecordTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleImageRecordTest.java index 4b7be1f60..3c321e583 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleImageRecordTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-model/src/test/java/org/datavec/spark/transform/SingleImageRecordTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -24,9 +28,6 @@ import org.nd4j.common.io.ClassPathResource; import java.io.File; -/** - * Created by kepricon on 17. 5. 24. - */ public class SingleImageRecordTest { @Rule diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/pom.xml b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/pom.xml index 331c58a8c..8a65942db 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/pom.xml +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/pom.xml @@ -1,99 +1,86 @@ - + + + + - - - datavec-spark-inference-parent - org.datavec - 1.0.0-SNAPSHOT - 4.0.0 + + org.datavec + datavec-spark-inference-parent + 1.0.0-SNAPSHOT + + datavec-spark-inference-server_2.11 - jar - 1.0.0-SNAPSHOT + datavec-spark-inference-server 2.11.12 2.11 + 1.8 + 1.8 - - - - maven-compiler-plugin - - 1.8 - 1.8 - - - - org.datavec datavec-spark-inference-model ${datavec.version} - org.datavec datavec-spark_2.11 ${project.version} - org.datavec datavec-data-image - ${datavec.version} - joda-time joda-time - ${jodatime.version} - org.apache.commons commons-lang3 - ${commons-lang3.version} - org.hibernate hibernate-validator ${hibernate.version} - org.scala-lang scala-library ${scala.version} - org.scala-lang scala-reflect ${scala.version} - com.typesafe.play play-java_2.11 @@ -109,68 +96,51 @@ - net.jodah typetools ${jodah.typetools.version} - com.typesafe.play play-json_2.11 ${playframework.version} - com.typesafe.play play-server_2.11 ${playframework.version} - com.typesafe.play play_2.11 ${playframework.version} - com.typesafe.play play-netty-server_2.11 ${playframework.version} - com.typesafe.akka akka-cluster_2.11 2.5.23 - com.mashape.unirest unirest-java - ${unirest.version} test - com.beust jcommander ${jcommander.version} - org.apache.spark spark-core_2.11 ${spark.version} - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/CSVSparkTransformServer.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/CSVSparkTransformServer.java index dd1d8f9f8..9ef085515 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/CSVSparkTransformServer.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/CSVSparkTransformServer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.server; @@ -38,17 +42,6 @@ import java.util.Random; import static play.mvc.Results.*; -/** - * A rest server for using an - * {@link TransformProcess} based on simple - * csv values and a schema via REST. - *

- * The input values are an {@link SingleCSVRecord} - * which (based on the input schema) will automatically - * have their values transformed. - * - * @author Adam Gibson - */ @Slf4j @Data public class CSVSparkTransformServer extends SparkTransformServer { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/ImageSparkTransformServer.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/ImageSparkTransformServer.java index 5b7b29cd2..e7744ecaa 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/ImageSparkTransformServer.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/ImageSparkTransformServer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.server; @@ -40,9 +44,6 @@ import java.util.List; import static play.mvc.Results.*; -/** - * Created by kepricon on 17. 6. 19. - */ @Slf4j @Data public class ImageSparkTransformServer extends SparkTransformServer { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServer.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServer.java index c613f74e3..c89ef90cc 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServer.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServer.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.server; @@ -25,9 +29,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper; import play.mvc.Http; import play.server.Server; -/** - * Created by kepricon on 17. 6. 20. - */ public abstract class SparkTransformServer implements DataVecTransformService { @Parameter(names = {"-j", "--jsonPath"}, arity = 1) protected String jsonPath = null; diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServerChooser.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServerChooser.java index 10013329d..aa4945ddb 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServerChooser.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/SparkTransformServerChooser.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.server; @@ -23,9 +27,6 @@ import java.io.InvalidClassException; import java.util.Arrays; import java.util.List; -/** - * Created by kepricon on 17. 6. 20. - */ @Data @Slf4j public class SparkTransformServerChooser { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/TransformDataType.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/TransformDataType.java index d2c1932dc..643cd5652 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/TransformDataType.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/main/java/org/datavec/spark/inference/server/TransformDataType.java @@ -1,24 +1,25 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.inference.server; -/** - * Created by kepricon on 17. 6. 20. - */ public enum TransformDataType { CSV, IMAGE, } diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java index 56e24fef3..ab76b206e 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerNoJsonTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerNoJsonTest.java index bd9f2a55e..8f309caff 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerNoJsonTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerNoJsonTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -37,9 +41,6 @@ import java.util.UUID; import static org.junit.Assert.assertTrue; import static org.junit.Assume.assumeNotNull; -/** - * Created by agibsonccc on 1/22/17. - */ public class CSVSparkTransformServerNoJsonTest { private static CSVSparkTransformServer server; diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerTest.java index 667d13553..a3af5f2c6 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/CSVSparkTransformServerTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -35,9 +39,6 @@ import java.io.File; import java.io.IOException; import java.util.UUID; -/** - * Created by agibsonccc on 1/22/17. - */ public class CSVSparkTransformServerTest { private static CSVSparkTransformServer server; diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/ImageSparkTransformServerTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/ImageSparkTransformServerTest.java index 0c82f5adb..12f754acd 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/ImageSparkTransformServerTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/ImageSparkTransformServerTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -41,9 +45,6 @@ import java.util.UUID; import static org.junit.Assert.assertEquals; -/** - * Created by kepricon on 17. 6. 19. - */ public class ImageSparkTransformServerTest { @Rule diff --git a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/SparkTransformServerTest.java b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/SparkTransformServerTest.java index 30e01b9ba..831dd24f4 100644 --- a/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/SparkTransformServerTest.java +++ b/datavec/datavec-spark-inference-parent/datavec-spark-inference-server/src/test/java/org/datavec/spark/transform/SparkTransformServerTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -40,9 +44,6 @@ import java.util.UUID; import static org.junit.Assert.assertEquals; -/** - * Created by kepricon on 17. 6. 20. - */ public class SparkTransformServerTest { private static SparkTransformServerChooser serverChooser; private static Schema schema = new Schema.Builder().addColumnDouble("1.0").addColumnDouble("2.0").build(); diff --git a/datavec/datavec-spark-inference-parent/pom.xml b/datavec/datavec-spark-inference-parent/pom.xml index 5e98a1aad..abf3f3b0d 100644 --- a/datavec/datavec-spark-inference-parent/pom.xml +++ b/datavec/datavec-spark-inference-parent/pom.xml @@ -1,38 +1,62 @@ - + + + + + + 4.0.0 - - datavec-parent org.datavec + datavec-parent 1.0.0-SNAPSHOT - 4.0.0 datavec-spark-inference-parent pom datavec-spark-inference-parent + datavec-spark-inference-server datavec-spark-inference-client datavec-spark-inference-model + + + + org.datavec + datavec-data-image + ${datavec.version} + + + com.mashape.unirest + unirest-java + ${unirest.version} + + + + test-nd4j-native diff --git a/datavec/datavec-spark/pom.xml b/datavec/datavec-spark/pom.xml index 2c547499c..431fa2233 100644 --- a/datavec/datavec-spark/pom.xml +++ b/datavec/datavec-spark/pom.xml @@ -1,29 +1,36 @@ - + + + + + 4.0.0 - - datavec-parent org.datavec + datavec-parent 1.0.0-SNAPSHOT - 4.0.0 1.0.0-SNAPSHOT datavec-spark_2.11 @@ -39,14 +46,12 @@ scala-library ${scala.version} - org.apache.spark spark-sql_2.11 ${spark.version} provided - commons-collections commons-collections @@ -55,7 +60,6 @@ commons-io commons-io - ${commons-io.version} org.apache.commons @@ -65,7 +69,6 @@ org.slf4j slf4j-api - ${slf4j.version} org.apache.spark @@ -73,27 +76,23 @@ ${spark.version} provided - - com.google.code.findbugs - jsr305 - + + com.google.code.findbugs + jsr305 + - org.datavec datavec-api ${project.parent.version} - org.datavec datavec-hadoop ${project.parent.version} - - org.datavec @@ -101,44 +100,26 @@ ${project.parent.version} test - org.datavec datavec-data-codec ${project.parent.version} test - org.datavec datavec-local ${datavec.version} test - - - ch.qos.logback - logback-classic - ${logback.version} - test - - org.datavec datavec-python ${datavec.version} test - - - org.nd4j - nd4j-common-tests - ${nd4j.version} - test - - test-nd4j-native diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/SequenceEmptyRecordFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/SequenceEmptyRecordFunction.java index b325e98a6..762b9dc0c 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/SequenceEmptyRecordFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/SequenceEmptyRecordFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark; @@ -21,11 +25,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Used for filtering empty records - * - * @author Adam Gibson - */ public class SequenceEmptyRecordFunction implements Function>, Boolean> { @Override public Boolean call(List> v1) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/EmptyRecordFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/EmptyRecordFunction.java index ff5617020..01e39d677 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/EmptyRecordFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/EmptyRecordFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -21,11 +25,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Used for filtering empty records - * - * @author Adam Gibson - */ public class EmptyRecordFunction implements Function, Boolean> { @Override public Boolean call(List v1) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/LineRecordReaderFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/LineRecordReaderFunction.java index 2018ff72f..56b5f2b63 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/LineRecordReaderFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/LineRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -23,12 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * LineRecordReaderFunction: Used to map a {@code JavaRDD} to a {@code JavaRDD>} - * Note that this is most useful with LineRecordReader instances (CSVRecordReader, SVMLightRecordReader, etc) - * - * @author Alex Black - */ public class LineRecordReaderFunction implements Function> { private final RecordReader recordReader; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/RecordReaderFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/RecordReaderFunction.java index e12e66844..c4126d170 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/RecordReaderFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/RecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -26,11 +30,6 @@ import java.io.DataInputStream; import java.net.URI; import java.util.List; -/**RecordReaderFunction: Given a RecordReader and a file (via Spark PortableDataStream), load and parse the - * data into a Collection. - * NOTE: This is only useful for "one record per file" type situations (ImageRecordReader, etc) - * @author Alex Black - */ public class RecordReaderFunction implements Function, List> { protected RecordReader recordReader; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/SequenceRecordReaderFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/SequenceRecordReaderFunction.java index d08aef057..5bf6f4501 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/SequenceRecordReaderFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/SequenceRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -26,10 +30,6 @@ import java.io.DataInputStream; import java.net.URI; import java.util.List; -/**RecordReaderFunction: Given a SequenceRecordReader and a file (via Spark PortableDataStream), load and parse the - * sequence data into a {@code List>} - * @author Alex Black - */ public class SequenceRecordReaderFunction implements Function, List>> { protected SequenceRecordReader sequenceRecordReader; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/FilesAsBytesFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/FilesAsBytesFunction.java index ae7723ac1..9ef17da2c 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/FilesAsBytesFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/FilesAsBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.data; @@ -22,10 +26,6 @@ import org.apache.spark.api.java.function.PairFunction; import org.apache.spark.input.PortableDataStream; import scala.Tuple2; -/**A PairFunction that simply loads bytes[] from a PortableDataStream, and wraps it (and the String key) - * in Text and BytesWritable respectively. - * @author Alex Black - */ public class FilesAsBytesFunction implements PairFunction, Text, BytesWritable> { @Override public Tuple2 call(Tuple2 in) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/RecordReaderBytesFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/RecordReaderBytesFunction.java index 1b44de81e..367666610 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/RecordReaderBytesFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/RecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.data; @@ -28,10 +32,6 @@ import java.io.DataInputStream; import java.net.URI; import java.util.List; -/**RecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data - * ({@code Collection}) using a RecordReader - * @author Alex Black - */ public class RecordReaderBytesFunction implements Function, List> { private final RecordReader recordReader; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/SequenceRecordReaderBytesFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/SequenceRecordReaderBytesFunction.java index 35faaae76..1557cd3a9 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/SequenceRecordReaderBytesFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/data/SequenceRecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.data; @@ -28,10 +32,6 @@ import java.io.DataInputStream; import java.net.URI; import java.util.List; -/**SequenceRecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data - * ({@code List>}) using a SequenceRecordReader - * @author Alex Black - */ public class SequenceRecordReaderBytesFunction implements Function, List>> { private final SequenceRecordReader recordReader; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/BytesPairWritable.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/BytesPairWritable.java index 388cd1273..0dcbd3ec9 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/BytesPairWritable.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/BytesPairWritable.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; @@ -22,9 +26,6 @@ import java.io.IOException; import java.io.Serializable; import java.nio.charset.StandardCharsets; -/**A Hadoop writable class for a pair of byte arrays, plus the original URIs (as Strings) of the files they came from - * @author Alex Black - */ public class BytesPairWritable implements Serializable, org.apache.hadoop.io.Writable { private byte[] first; private byte[] second; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/MapToBytesPairWritableFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/MapToBytesPairWritableFunction.java index f1d6cca53..bc479dc0f 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/MapToBytesPairWritableFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/MapToBytesPairWritableFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; @@ -24,9 +28,6 @@ import org.datavec.spark.util.DataVecSparkUtil; import scala.Tuple2; import scala.Tuple3; -/** A function to read files (assuming exactly 2 per input) from a PortableDataStream and combine the contents into a BytesPairWritable - * @see DataVecSparkUtil#combineFilesForSequenceFile(JavaSparkContext, String, String, PathToKeyConverter, PathToKeyConverter) - */ public class MapToBytesPairWritableFunction implements PairFunction>>, Text, BytesPairWritable> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PairSequenceRecordReaderBytesFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PairSequenceRecordReaderBytesFunction.java index b3a24c1b9..45cf7caad 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PairSequenceRecordReaderBytesFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PairSequenceRecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; @@ -27,13 +31,6 @@ import java.io.DataInputStream; import java.net.URI; import java.util.List; -/** - * SequenceRecordReaderBytesFunction: Converts two sets of binary data (in the form of a BytesPairWritable) to DataVec format data - * ({@code Tuple2>,List>}) using two SequenceRecordReaders. - * Used for example when network input and output data comes from different files - * - * @author Alex Black - */ public class PairSequenceRecordReaderBytesFunction implements Function, Tuple2>, List>>> { private final SequenceRecordReader recordReaderFirst; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverter.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverter.java index 96e58db96..f0ebe7da2 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverter.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverter.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; import java.io.Serializable; -/** PathToKeyConverter: Used to match up files based on their file names, for PairSequenceRecordReaderBytesFunction - * For example, suppose we have files "/features_0.csv" and "/labels_0.csv", map both to same key: "0" - */ public interface PathToKeyConverter extends Serializable { /**Determine the key from the file path diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterFilename.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterFilename.java index dca4bda7e..258dbb0c0 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterFilename.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterFilename.java @@ -1,24 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; import org.apache.commons.io.FilenameUtils; -/** Convert the path to a key by taking the full file name (excluding the file extension and directories) */ public class PathToKeyConverterFilename implements PathToKeyConverter { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterNumber.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterNumber.java index 2ca8929fd..28b5e33bb 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterNumber.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyConverterNumber.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; import org.apache.commons.io.FilenameUtils; -/**A PathToKeyConverter that generates a key based on the file name. Specifically, it extracts a digit from - * the file name. so "/my/directory/myFile0.csv" -> "0" - */ public class PathToKeyConverterNumber implements PathToKeyConverter { @Override public String getKey(String path) { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyFunction.java index f04e2a672..5c43c969f 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/functions/pairdata/PathToKeyFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions.pairdata; @@ -21,10 +25,6 @@ import org.apache.spark.input.PortableDataStream; import scala.Tuple2; import scala.Tuple3; -/** Given a Tuple2, where the first value is the full path, map this - * to a Tuple3 where the first value is a key (using a {@link PathToKeyConverter}), - * second is an index, and third is the original data stream - */ public class PathToKeyFunction implements PairFunction, String, Tuple3> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/SparkStorageUtils.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/SparkStorageUtils.java index 3e2725436..323012432 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/SparkStorageUtils.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/SparkStorageUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.storage; @@ -36,11 +40,6 @@ import org.datavec.spark.storage.functions.SequenceRecordSavePrepPairFunction; import java.util.List; -/** - * Utility methods for saving and restoring Writable objects from Spark RDD is to Hadoop formats - * - * @author Alex Black - */ public class SparkStorageUtils { /** diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordLoadPairFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordLoadPairFunction.java index 4864cb361..192c0e7d0 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordLoadPairFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordLoadPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.storage.functions; @@ -24,11 +28,6 @@ import scala.Tuple2; import java.util.List; -/** - * A simple function to prepare data during loading via {@link org.datavec.spark.storage.SparkStorageUtils} - * - * @author Alex Black - */ public class RecordLoadPairFunction implements PairFunction, Long, List> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordSavePrepPairFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordSavePrepPairFunction.java index 6c9ff8f08..048f6b191 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordSavePrepPairFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/RecordSavePrepPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.storage.functions; @@ -24,11 +28,6 @@ import scala.Tuple2; import java.util.List; -/** - * A simple function to prepare data for saving via {@link org.datavec.spark.storage.SparkStorageUtils} - * - * @author Alex Black - */ public class RecordSavePrepPairFunction implements PairFunction, Long>, LongWritable, RecordWritable> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordLoadPairFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordLoadPairFunction.java index 1df473925..a8296cd6e 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordLoadPairFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordLoadPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.storage.functions; @@ -24,11 +28,6 @@ import scala.Tuple2; import java.util.List; -/** - * A simple function to prepare data during loading via {@link org.datavec.spark.storage.SparkStorageUtils} - * - * @author Alex Black - */ public class SequenceRecordLoadPairFunction implements PairFunction, Long, List>> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordSavePrepPairFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordSavePrepPairFunction.java index 387aa0587..072beb5de 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordSavePrepPairFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/storage/functions/SequenceRecordSavePrepPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.storage.functions; @@ -24,11 +28,6 @@ import scala.Tuple2; import java.util.List; -/** - * A simple function to prepare data for saving via {@link org.datavec.spark.storage.SparkStorageUtils} - * - * @author Alex Black - */ public class SequenceRecordSavePrepPairFunction implements PairFunction>, Long>, LongWritable, SequenceRecordWritable> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/AnalyzeSpark.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/AnalyzeSpark.java index 8d1e3db45..1af4b9d4b 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/AnalyzeSpark.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/AnalyzeSpark.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -58,13 +62,6 @@ import scala.Tuple2; import java.util.*; -/** - * AnalizeSpark: static methods for - * analyzing and - * processing {@code RDD>} and {@code RDD>} - * - * @author Alex Black - */ public class AnalyzeSpark { public static final int DEFAULT_HISTOGRAM_BUCKETS = 30; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/DataFrames.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/DataFrames.java index 11fc41759..1e41cc3c1 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/DataFrames.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/DataFrames.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -45,12 +49,6 @@ import static org.apache.spark.sql.functions.avg; import static org.apache.spark.sql.functions.col; -/** - * Namespace for datavec - * dataframe interop - * - * @author Adam Gibson - */ public class DataFrames { public static final String SEQUENCE_UUID_COLUMN = "__SEQ_UUID"; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/Normalization.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/Normalization.java index cacea101d..f4d513017 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/Normalization.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/Normalization.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -27,14 +31,6 @@ import org.datavec.api.writable.Writable; import java.util.*; -/** - * Simple dataframe based normalization. - * Column based transforms such as min/max scaling - * based on column min max and zero mean unit variance - * using column wise statistics. - * - * @author Adam Gibson - */ public class Normalization { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/SparkTransformExecutor.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/SparkTransformExecutor.java index 8a948df1d..47f27e71d 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/SparkTransformExecutor.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/SparkTransformExecutor.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -53,13 +57,6 @@ import scala.Tuple2; import java.util.Comparator; import java.util.List; -/** - * Execute a datavec - * transform process - * on spark rdds. - * - * @author Alex Black - */ public class SparkTransformExecutor { private static final Logger log = LoggerFactory.getLogger(SparkTransformExecutor.class); diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/CategoricalToPairFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/CategoricalToPairFunction.java index abf53ed3f..d8de15c26 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/CategoricalToPairFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/CategoricalToPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; @@ -20,9 +24,6 @@ import org.apache.spark.api.java.function.PairFunction; import org.datavec.api.writable.Writable; import scala.Tuple2; -/** - * Created by Alex on 4/03/2016. - */ public class CategoricalToPairFunction implements PairFunction { @Override public Tuple2 call(Writable writable) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SelectColumnFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SelectColumnFunction.java index 3976897ae..b73d50e11 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SelectColumnFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SelectColumnFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; @@ -22,9 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Select out the value from a single column - */ @AllArgsConstructor public class SelectColumnFunction implements Function, Writable> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceFlatMapFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceFlatMapFunction.java index 5052491bb..2685bc7ad 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceFlatMapFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceFlatMapFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; @@ -22,12 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.Iterator; import java.util.List; -/** - * SequenceFlatMapFunction: very simple function used to flatten a sequence - * Typically used only internally for certain analysis operations - * - * @author Alex Black - */ public class SequenceFlatMapFunction implements FlatMapFunction>, List> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceLengthFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceLengthFunction.java index 43d2841dd..7bd0acfa7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceLengthFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/SequenceLengthFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; @@ -21,9 +25,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Map a sequence to the size of that sequence - */ public class SequenceLengthFunction implements Function>, Integer> { @Override public Integer call(List> v1) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/StringLengthFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/StringLengthFunction.java index f3a1e117a..5f3a8a17d 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/StringLengthFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/StringLengthFunction.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; import org.apache.spark.api.java.function.DoubleFunction; import org.datavec.api.writable.Writable; -/** - * Created by Alex on 4/03/2016. - */ public class StringLengthFunction implements DoubleFunction { @Override public double call(Writable writable) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToDoubleFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToDoubleFunction.java index 7e35788cc..ebfad6948 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToDoubleFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToDoubleFunction.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; import org.apache.spark.api.java.function.DoubleFunction; import org.datavec.api.writable.Writable; -/** - * Created by Alex on 4/03/2016. - */ public class WritableToDoubleFunction implements DoubleFunction { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToStringFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToStringFunction.java index 44ba219ef..6c793b41b 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToStringFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/WritableToStringFunction.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; import org.apache.spark.api.java.function.Function; import org.datavec.api.writable.Writable; -/** - * Created by Alex on 4/03/2016. - */ public class WritableToStringFunction implements Function { @Override public String call(Writable writable) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisAddFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisAddFunction.java index 0604f69fa..7975b8009 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisAddFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.aggregate; @@ -27,11 +31,6 @@ import org.datavec.api.writable.Writable; import java.util.ArrayList; import java.util.List; -/** - * Add function used for undertaking analysis of a data set via Spark - * - * @author Alex Black - */ @AllArgsConstructor public class AnalysisAddFunction implements Function2, List, List> { private Schema schema; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisCombineFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisCombineFunction.java index 5c53181c5..c90afadfa 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisCombineFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/aggregate/AnalysisCombineFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.aggregate; @@ -23,11 +27,6 @@ import org.datavec.api.transform.analysis.AnalysisCounter; import java.util.ArrayList; import java.util.List; -/** - * Combine function used for undertaking analysis of a data set via Spark - * - * @author Alex Black - */ public class AnalysisCombineFunction implements Function2, List, List> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramAddFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramAddFunction.java index a2f04a8c0..46a67f138 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramAddFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.histogram; @@ -27,11 +31,6 @@ import org.datavec.api.writable.Writable; import java.util.ArrayList; import java.util.List; -/** - * An adder function used in the calculation of histograms - * - * @author Alex Black - */ @AllArgsConstructor public class HistogramAddFunction implements Function2, List, List> { private final int nBins; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramCombineFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramCombineFunction.java index bb9b11a7a..c528ca623 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramCombineFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/histogram/HistogramCombineFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.histogram; @@ -22,11 +26,6 @@ import org.datavec.api.transform.analysis.histogram.HistogramCounter; import java.util.ArrayList; import java.util.List; -/** - * A combiner function used in the calculation of histograms - * - * @author Alex Black - */ public class HistogramCombineFunction implements Function2, List, List> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/IntToDoubleFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/IntToDoubleFunction.java index f0f01cfa3..fb9796494 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/IntToDoubleFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/IntToDoubleFunction.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.seqlength; import org.apache.spark.api.java.function.DoubleFunction; -/** - * Created by Alex on 12/03/2016. - */ public class IntToDoubleFunction implements DoubleFunction { @Override public double call(Integer integer) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisAddFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisAddFunction.java index 6907b11c7..2caaa45a2 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisAddFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisAddFunction.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.seqlength; import org.apache.spark.api.java.function.Function2; -/** - * Created by Alex on 7/03/2016. - */ public class SequenceLengthAnalysisAddFunction implements Function2 { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisCounter.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisCounter.java index 4c59f757a..6a54521ea 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisCounter.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisCounter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.seqlength; @@ -21,9 +25,6 @@ import lombok.Data; import org.datavec.api.transform.analysis.AnalysisCounter; import org.datavec.api.writable.Writable; -/** - * Created by Alex on 7/03/2016. - */ @AllArgsConstructor @Data public class SequenceLengthAnalysisCounter implements AnalysisCounter { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisMergeFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisMergeFunction.java index 5fb11d313..ba27b6aa7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisMergeFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/seqlength/SequenceLengthAnalysisMergeFunction.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.seqlength; import org.apache.spark.api.java.function.Function2; -/** - * Created by Alex on 5/03/2016. - */ public class SequenceLengthAnalysisMergeFunction implements Function2 { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/string/StringAnalysisMergeFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/string/StringAnalysisMergeFunction.java index ced9fa99a..6bbd96534 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/string/StringAnalysisMergeFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/string/StringAnalysisMergeFunction.java @@ -1,27 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.string; import org.apache.spark.api.java.function.Function2; import org.datavec.api.transform.analysis.counter.StringAnalysisCounter; -/** - * Created by Alex on 5/03/2016. - */ public class StringAnalysisMergeFunction implements Function2 { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueAddFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueAddFunction.java index f2bbbe597..35521ba04 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueAddFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueAddFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.unique; @@ -23,11 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.*; -/** - * Simple function used in AnalyzeSpark.getUnique - * - * @author Alex Black - */ @AllArgsConstructor public class UniqueAddFunction implements Function2>, List, Map>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueMergeFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueMergeFunction.java index 4ca37d1ed..28451c335 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueMergeFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/analysis/unique/UniqueMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis.unique; @@ -22,11 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.Map; import java.util.Set; -/** - * Simple function used in AnalyzeSpark.getUnique - * - * @author Alex Black - */ public class UniqueMergeFunction implements Function2>, Map>, Map>> { @Override public Map> call(Map> v1, Map> v2) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/FilterWritablesBySchemaFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/FilterWritablesBySchemaFunction.java index 1ccba475e..358f4ccd0 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/FilterWritablesBySchemaFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/FilterWritablesBySchemaFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.filter; @@ -22,9 +26,6 @@ import org.datavec.api.writable.NullWritable; import org.datavec.api.writable.Text; import org.datavec.api.writable.Writable; -/** - * Created by Alex on 6/03/2016. - */ public class FilterWritablesBySchemaFunction implements Function { private final ColumnMetaData meta; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/SparkFilterFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/SparkFilterFunction.java index c8044b747..ae23a3811 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/SparkFilterFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/filter/SparkFilterFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.filter; @@ -23,10 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Spark function for executing filter operations - * @author Alex Black - */ @AllArgsConstructor public class SparkFilterFunction implements Function, Boolean> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExecuteJoinFromCoGroupFlatMapFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExecuteJoinFromCoGroupFlatMapFunction.java index 6e501f560..c70cea258 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExecuteJoinFromCoGroupFlatMapFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExecuteJoinFromCoGroupFlatMapFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.join; @@ -26,11 +30,6 @@ import java.util.ArrayList; import java.util.Iterator; import java.util.List; -/** - * Execute a join - * - * @author Alex Black - */ public class ExecuteJoinFromCoGroupFlatMapFunction implements FlatMapFunction, Tuple2>, Iterable>>>, List> { private final Join join; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExtractKeysFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExtractKeysFunction.java index 29b3c897d..98bc8cab6 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExtractKeysFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/ExtractKeysFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.join; @@ -25,7 +29,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** Created by huitseeker on 3/6/17. */ @AllArgsConstructor public class ExtractKeysFunction implements PairFunction, List, List> { private int[] columnIndexes; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/FilterAndFlattenJoinedValues.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/FilterAndFlattenJoinedValues.java index d4ede4808..58707bcef 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/FilterAndFlattenJoinedValues.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/FilterAndFlattenJoinedValues.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.join; @@ -24,13 +28,6 @@ import java.util.Collections; import java.util.Iterator; import java.util.List; -/** - * Doing two things here: - * (a) filter out any unnecessary values, and - * (b) extract the List values from the JoinedValue - * - * @author Alex Black - */ public class FilterAndFlattenJoinedValues implements FlatMapFunction> { private final Join.JoinType joinType; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/JoinedValue.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/JoinedValue.java index fe7e8e21c..13891360c 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/JoinedValue.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/join/JoinedValue.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.join; @@ -23,9 +27,6 @@ import org.datavec.api.writable.Writable; import java.io.Serializable; import java.util.List; -/** - * Simple helper class for executing joins - */ @AllArgsConstructor @Data public class JoinedValue implements Serializable { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnAsKeyPairFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnAsKeyPairFunction.java index 18569d3f3..268c5bd37 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnAsKeyPairFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnAsKeyPairFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -23,12 +27,6 @@ import scala.Tuple2; import java.util.List; -/** - * Very simple function to extract out one writable (by index) and use it as a key in the resulting PairRDD - * For example, myWritable.mapToPair(new ColumnsAsKeyPairFunction(myKeyColumnIdx)) - * - * @author Alex Black - */ @AllArgsConstructor public class ColumnAsKeyPairFunction implements PairFunction, Writable, List> { private final int columnIdx; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnToKeyPairTransform.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnToKeyPairTransform.java index d2839ddc4..4f043ab0f 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnToKeyPairTransform.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/ColumnToKeyPairTransform.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -25,12 +29,6 @@ import scala.Tuple2; import java.util.List; -/** - * Extract out one writable, and map it to a pair with count 1. - * Used to count the N most frequent values in a column, as in {@link org.datavec.spark.transform.AnalyzeSpark#sampleMostFrequentFromColumn(int, String, Schema, JavaRDD)} - * - * @author Alex Black - */ @AllArgsConstructor public class ColumnToKeyPairTransform implements PairFunction, Writable, Long> { private final int columnIndex; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/NDArrayToWritablesFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/NDArrayToWritablesFunction.java index f941bce09..9382d1db5 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/NDArrayToWritablesFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/NDArrayToWritablesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ndarray.INDArray; import java.util.ArrayList; import java.util.List; -/** - * Function for converting NDArrays to lists of writables. - * - * @author dave@skymind.io - */ @AllArgsConstructor public class NDArrayToWritablesFunction implements Function> { private boolean useNdarrayWritable = false; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceMergeFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceMergeFunction.java index 4096234a0..03f3efebd 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceMergeFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceMergeFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -24,21 +28,6 @@ import scala.Tuple2; import java.util.ArrayList; import java.util.List; -/** - * Spark function for merging multiple sequences, using a {@link SequenceMerge} instance.
- * - * Typical usage:
- * 

- * {@code
- * JavaPairRDD>> myData = ...;
- * SequenceComparator comparator = ...;
- * SequenceMergeFunction sequenceMergeFunction = new SequenceMergeFunction<>(new SequenceMerge(comparator));
- * JavaRDD>> merged = myData.groupByKey().map(sequenceMergeFunction);
- * }
- *
- * - * @author Alex Black - */ public class SequenceMergeFunction implements Function>>>, List>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceWritablesToStringFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceWritablesToStringFunction.java index f8a130fb3..c8d164ee1 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceWritablesToStringFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SequenceWritablesToStringFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -22,12 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Simple function to map sequence examples to a String format (such as CSV) - * with given quote around the string value if it contains the delimiter. - * - * @author Alex Black - */ @AllArgsConstructor public class SequenceWritablesToStringFunction implements Function>, String> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/StringToWritablesFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/StringToWritablesFunction.java index c3365acfd..ed79a81f5 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/StringToWritablesFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/StringToWritablesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -26,10 +30,6 @@ import java.util.ArrayList; import java.util.Collection; import java.util.List; -/** - * Convert a String to a List using a DataVec record reader - * - */ @AllArgsConstructor public class StringToWritablesFunction implements Function> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SumLongsFunction2.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SumLongsFunction2.java index fdde4daf3..937e82bf7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SumLongsFunction2.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/SumLongsFunction2.java @@ -1,26 +1,27 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; import org.apache.spark.api.java.function.Function2; -/** - * Created by Alex on 03/09/2016. - */ public class SumLongsFunction2 implements Function2 { @Override public Long call(Long l1, Long l2) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToNDArrayFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToNDArrayFunction.java index cec8b650f..a55161f1a 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToNDArrayFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToNDArrayFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -27,13 +31,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex; import java.util.Arrays; import java.util.List; -/** - * Function for converting lists of Writables to a single - * NDArray row vector. Necessary for creating and saving a - * dense matrix representation of raw data. - * - * @author dave@skymind.io - */ public class WritablesToNDArrayFunction implements Function, INDArray> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToStringFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToStringFunction.java index 194932137..4bed90ce7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToStringFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/WritablesToStringFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc; @@ -22,12 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Simple function to map an example to a String format (such as CSV) - * with given quote around the string value if it contains the delimiter. - * - * @author Alex Black - */ @AllArgsConstructor public class WritablesToStringFunction implements Function, String> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/comparator/Tuple2Comparator.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/comparator/Tuple2Comparator.java index 906ef755c..71f2e25e3 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/comparator/Tuple2Comparator.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/misc/comparator/Tuple2Comparator.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.misc.comparator; @@ -22,9 +26,6 @@ import scala.Tuple2; import java.io.Serializable; import java.util.Comparator; -/** - * Simple comparator: Compare {@code Tuple2} by Long value - */ @AllArgsConstructor public class Tuple2Comparator implements Comparator>, Serializable { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/rank/UnzipForCalculateSortedRankFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/rank/UnzipForCalculateSortedRankFunction.java index dc8a2c12a..662a42d7b 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/rank/UnzipForCalculateSortedRankFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/rank/UnzipForCalculateSortedRankFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.rank; @@ -24,11 +28,6 @@ import scala.Tuple2; import java.util.ArrayList; import java.util.List; -/** - * A simple helper function for use in executing CalculateSortedRank - * - * @author Alex Black - */ public class UnzipForCalculateSortedRankFunction implements Function>, Long>, List> { @Override diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/MapToPairForReducerFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/MapToPairForReducerFunction.java index 9fb0962ee..9c69e6d62 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/MapToPairForReducerFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/MapToPairForReducerFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.reduce; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/ReducerFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/ReducerFunction.java index d905736e6..10c409f60 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/ReducerFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/reduce/ReducerFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.reduce; @@ -23,12 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Spark function for executing - * a reduction of a set of examples by key - * - * @author Alex Black - */ @AllArgsConstructor public class ReducerFunction implements Function>, List> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/ConvertToSequenceLengthOne.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/ConvertToSequenceLengthOne.java index 383c97cf7..97a7bca31 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/ConvertToSequenceLengthOne.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/ConvertToSequenceLengthOne.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -22,11 +26,6 @@ import org.datavec.api.writable.Writable; import java.util.Collections; import java.util.List; -/** - * Very simple function to convert an example to sequence of length 1 - * - * @author Alex Black - */ public class ConvertToSequenceLengthOne implements Function, List>> { @Override public List> call(List writables) throws Exception { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkGroupToSequenceFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkGroupToSequenceFunction.java index ce25756d6..3df2558e4 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkGroupToSequenceFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkGroupToSequenceFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -25,12 +29,6 @@ import java.util.ArrayList; import java.util.Collections; import java.util.List; -/** - * Spark function for grouping independent values/examples into a sequence, and then sorting them - * using a provided {@link SequenceComparator} - * - * @author Alex Black - */ @AllArgsConstructor public class SparkGroupToSequenceFunction implements Function>, List>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByColumnFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByColumnFunction.java index d20d1b7c3..98357e121 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByColumnFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByColumnFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -23,11 +27,6 @@ import scala.Tuple2; import java.util.List; -/** - * Spark function to map a n example to a pair, by using one of the columns as the key. - * - * @author Alex Black - */ @AllArgsConstructor public class SparkMapToPairByColumnFunction implements PairFunction, Writable, List> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByMultipleColumnsFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByMultipleColumnsFunction.java index 43eaf621b..aaa8d1049 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByMultipleColumnsFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkMapToPairByMultipleColumnsFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -24,11 +28,6 @@ import scala.Tuple2; import java.util.ArrayList; import java.util.List; -/** - * Spark function to map an example to a pair, by using some of the column values as the key. - * - * @author Alex Black - */ @AllArgsConstructor public class SparkMapToPairByMultipleColumnsFunction implements PairFunction, List, List> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceFilterFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceFilterFunction.java index 7e5193b14..6fb4480ed 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceFilterFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceFilterFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -23,9 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor public class SparkSequenceFilterFunction implements Function>, Boolean> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceTransformFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceTransformFunction.java index 08244f507..0e1542cc1 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceTransformFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sequence/SparkSequenceTransformFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -23,10 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.List; -/** - * Spark function for transforming sequences using a Transform - * @author Alex Black - */ @AllArgsConstructor public class SparkSequenceTransformFunction implements Function>, List>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/SequenceToRows.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/SequenceToRows.java index 639e43836..7868cb3c7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/SequenceToRows.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/SequenceToRows.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sparkfunction; @@ -26,10 +30,6 @@ import org.datavec.spark.transform.DataFrames; import java.util.*; -/** - * Convert a record to a row - * @author Adam Gibson - */ public class SequenceToRows implements FlatMapFunction>, Row> { private Schema schema; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRecord.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRecord.java index b83ad620e..21cb459ae 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRecord.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRecord.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sparkfunction; @@ -25,11 +29,6 @@ import org.datavec.api.writable.*; import java.util.ArrayList; import java.util.List; -/** - * Converts a row to a record - * - * @author Adam Gibson - */ @AllArgsConstructor public class ToRecord implements Function> { private Schema schema; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRow.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRow.java index 24b6182dd..bac0740d8 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRow.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/ToRow.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sparkfunction; @@ -29,10 +33,6 @@ import org.nd4j.linalg.api.ndarray.INDArray; import java.util.List; -/** - * Convert a record to a row - * @author Adam Gibson - */ public class ToRow implements Function, Row> { private Schema schema; private StructType structType; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceCreateCombiner.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceCreateCombiner.java index 2c844aebd..355709cf7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceCreateCombiner.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceCreateCombiner.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sparkfunction.sequence; @@ -26,11 +30,6 @@ import org.datavec.spark.transform.DataFrames; import java.util.ArrayList; import java.util.List; -/** - * A create combiner function for use in {@link DataFrames#toRecordsSequence(Dataset)} - * - * @author Alex Black - */ @AllArgsConstructor public class DataFrameToSequenceCreateCombiner implements Function, List>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeCombiner.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeCombiner.java index 126a733ac..945d43a40 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeCombiner.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeCombiner.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sparkfunction.sequence; @@ -29,14 +33,6 @@ import java.util.Collections; import java.util.Comparator; import java.util.List; -/** - * Combiner function for use in {@link DataFrames#toRecordsSequence(Dataset)} - *

- * Assumption here: first two columns are the sequence UUID and the sequence index, as per - * {@link DataFrames#toDataFrameSequence(Schema, JavaRDD)} - * - * @author Alex Black - */ public class DataFrameToSequenceMergeCombiner implements Function2>, List>, List>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeValue.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeValue.java index 460ca0738..807903a2f 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeValue.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/sparkfunction/sequence/DataFrameToSequenceMergeValue.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sparkfunction.sequence; @@ -29,14 +33,6 @@ import java.util.Collections; import java.util.Comparator; import java.util.List; -/** - * Combiner function for use in {@link DataFrames#toRecordsSequence(DataFrame)} - *

- * Assumption here: first two columns are the sequence UUID and the sequence index, as per - * {@link DataFrames#toDataFrameSequence(Schema, JavaRDD)} - * - * @author Alex Black - */ @AllArgsConstructor public class DataFrameToSequenceMergeValue implements Function2>, Iterable, List>> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SequenceSplitFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SequenceSplitFunction.java index 1a8782dfb..fbad46a33 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SequenceSplitFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SequenceSplitFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.transform; @@ -23,9 +27,6 @@ import org.datavec.api.writable.Writable; import java.util.Iterator; import java.util.List; -/** - * Created by Alex on 17/03/2016. - */ public class SequenceSplitFunction implements FlatMapFunction>, List>> { private final SequenceSplit split; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformFunction.java index e911a2d6c..2a4e66eb0 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.transform; @@ -26,9 +30,6 @@ import org.datavec.spark.transform.SparkTransformExecutor; import java.util.ArrayList; import java.util.List; -/** - * Created by Alex on 5/03/2016. - */ @AllArgsConstructor @Slf4j public class SparkTransformFunction implements Function, List> { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformProcessFunction.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformProcessFunction.java index 81f07b1f4..be9e2d662 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformProcessFunction.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/transform/SparkTransformProcessFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.transform; @@ -24,9 +28,6 @@ import java.util.Collections; import java.util.Iterator; import java.util.List; -/** - * Spark function for executing a transform process - */ public class SparkTransformProcessFunction implements FlatMapFunction, List> { private final TransformProcess transformProcess; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkExport.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkExport.java index 4d99a574d..a9ed6f13a 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkExport.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkExport.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.utils; @@ -30,9 +34,6 @@ import java.util.Collections; import java.util.List; import java.util.Random; -/** - * Created by Alex on 7/03/2016. - */ public class SparkExport { //Quick and dirty CSV export (using Spark). Eventually, rework this to use DataVec record writers on Spark diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkUtils.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkUtils.java index f8a640b22..73ff3617a 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkUtils.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/SparkUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.utils; @@ -39,9 +43,6 @@ import java.util.Arrays; import java.util.Collections; import java.util.List; -/** - * Created by Alex on 7/03/2016. - */ public class SparkUtils { public static List> splitData(SplitStrategy splitStrategy, JavaRDD data, long seed) { diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/adapter/BiFunctionAdapter.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/adapter/BiFunctionAdapter.java index 4c6c06eca..3934ad9f7 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/adapter/BiFunctionAdapter.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/transform/utils/adapter/BiFunctionAdapter.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.utils.adapter; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/BroadcastHadoopConfigHolder.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/BroadcastHadoopConfigHolder.java index 4897b9f19..1a43ad19a 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/BroadcastHadoopConfigHolder.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/BroadcastHadoopConfigHolder.java @@ -1,32 +1,28 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.util; import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.broadcast.Broadcast; -/** - * This class holds a {@code Broadcast} for re-use across multiple places. - * The idea is that we often need spark configuration available for reading from (for example) HDFS directly, but Hadoop's - * Configuration class is not serializable (hence using {@link SerializableHadoopConfig}; we also don't want to have - * multiple copies of this in memory on each worker (Hadoop Configuration is immutable). - * - * @author Alex Black - */ public class BroadcastHadoopConfigHolder { private static Broadcast config; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DataVecSparkUtil.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DataVecSparkUtil.java index b3665f549..4cbe1036d 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DataVecSparkUtil.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DataVecSparkUtil.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.util; @@ -26,9 +30,6 @@ import org.datavec.spark.functions.pairdata.PathToKeyConverter; import org.datavec.spark.functions.pairdata.PathToKeyFunction; import scala.Tuple3; -/** Utilities for using DataVec with Spark - * @author Alex Black - */ public class DataVecSparkUtil { /**Same as {@link #combineFilesForSequenceFile(JavaSparkContext, String, String, PathToKeyConverter, PathToKeyConverter)} diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DefaultHadoopConfig.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DefaultHadoopConfig.java index 43df53056..b640400cc 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DefaultHadoopConfig.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/DefaultHadoopConfig.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.util; diff --git a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/SerializableHadoopConfig.java b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/SerializableHadoopConfig.java index a94a9faee..237e62b5b 100644 --- a/datavec/datavec-spark/src/main/java/org/datavec/spark/util/SerializableHadoopConfig.java +++ b/datavec/datavec-spark/src/main/java/org/datavec/spark/util/SerializableHadoopConfig.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.util; @@ -24,10 +28,6 @@ import java.util.Iterator; import java.util.LinkedHashMap; import java.util.Map; -/** - * A serializable version of {@link Configuration} - * @author Alex Black - */ public class SerializableHadoopConfig implements Serializable { private Map content; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/AssertTestsExtendBaseClass.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/AssertTestsExtendBaseClass.java index feb030f9e..f1b8bfbfd 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/AssertTestsExtendBaseClass.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/AssertTestsExtendBaseClass.java @@ -1,18 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark; import lombok.extern.slf4j.Slf4j; @@ -21,14 +25,6 @@ import org.nd4j.common.tests.BaseND4JTest; import java.util.*; -/** - * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test) - * extends BaseDl4jTest - either directly or indirectly. - * Other than a small set of exceptions, all tests must extend this - * - * @author Alex Black - */ - @Slf4j public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass { diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/BaseSparkTest.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/BaseSparkTest.java index c474f8962..3dc0e3bff 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/BaseSparkTest.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/BaseSparkTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/TestKryoSerialization.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/TestKryoSerialization.java index 76e94fb1d..c63aafc1c 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/TestKryoSerialization.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/TestKryoSerialization.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestLineRecordReaderFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestLineRecordReaderFunction.java index 61c4b2e6b..8e9a7150b 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestLineRecordReaderFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestLineRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -34,9 +38,6 @@ import java.util.Set; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 21/05/2016. - */ public class TestLineRecordReaderFunction extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestNDArrayToWritablesFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestNDArrayToWritablesFunction.java index 55d7071df..2b5ebf12f 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestNDArrayToWritablesFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestNDArrayToWritablesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -30,11 +34,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Unit tests for NDArrayToWritablesFunction. - * - * @author dave@skymind.io - */ public class TestNDArrayToWritablesFunction { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestPairSequenceRecordReaderBytesFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestPairSequenceRecordReaderBytesFunction.java index 4c4c52e1e..6207d8ff5 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestPairSequenceRecordReaderBytesFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestPairSequenceRecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderBytesFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderBytesFunction.java index 30e72b7ee..ef1334924 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderBytesFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderFunction.java index 54c6bfcf4..2003dd0a7 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderBytesFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderBytesFunction.java index 58f030178..91488fc3f 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderBytesFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderBytesFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderFunction.java index bd6969030..b48360b64 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestSequenceRecordReaderFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToNDArrayFunction.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToNDArrayFunction.java index 8e68e9c8f..964d8de54 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToNDArrayFunction.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToNDArrayFunction.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToStringFunctions.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToStringFunctions.java index 8a4086596..2ee8d4c78 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToStringFunctions.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/functions/TestWritablesToStringFunctions.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.functions; @@ -34,9 +38,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 19/05/2017. - */ public class TestWritablesToStringFunctions extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/storage/TestSparkStorageUtils.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/storage/TestSparkStorageUtils.java index 8f0247568..8c959d963 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/storage/TestSparkStorageUtils.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/storage/TestSparkStorageUtils.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.storage; @@ -33,9 +37,6 @@ import java.util.Map; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 30/05/2017. - */ public class TestSparkStorageUtils extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/DataFramesTests.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/DataFramesTests.java index a19725a2a..f62e5b08a 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/DataFramesTests.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/DataFramesTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/ExecutionTest.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/ExecutionTest.java index e665af301..0b93af28a 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/ExecutionTest.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/ExecutionTest.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -41,9 +45,6 @@ import java.util.*; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 25/11/2016. - */ public class ExecutionTest extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/NormalizationTests.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/NormalizationTests.java index fcc20d661..61ebfcb6b 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/NormalizationTests.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/NormalizationTests.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform; @@ -39,9 +43,6 @@ import java.util.List; import static junit.framework.TestCase.assertTrue; import static org.junit.Assert.assertEquals; -/** - * Created by agibsonccc on 10/22/16. - */ public class NormalizationTests extends BaseSparkTest { diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/analysis/TestAnalysis.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/analysis/TestAnalysis.java index f89df72af..1516bfe87 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/analysis/TestAnalysis.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/analysis/TestAnalysis.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.analysis; @@ -45,9 +49,6 @@ import java.util.*; import static org.junit.Assert.*; -/** - * Created by Alex on 23/06/2016. - */ public class TestAnalysis extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/join/TestJoin.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/join/TestJoin.java index 2c3041be4..4625ecea0 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/join/TestJoin.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/join/TestJoin.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.join; @@ -29,9 +33,6 @@ import java.util.*; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 13/10/2016. - */ public class TestJoin extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/rank/TestCalculateSortedRank.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/rank/TestCalculateSortedRank.java index bf4aba954..13265df69 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/rank/TestCalculateSortedRank.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/rank/TestCalculateSortedRank.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.rank; @@ -34,9 +38,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 1/06/2016. - */ public class TestCalculateSortedRank extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/sequence/TestConvertToSequence.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/sequence/TestConvertToSequence.java index bb0f909ce..b98771858 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/sequence/TestConvertToSequence.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/transform/sequence/TestConvertToSequence.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.transform.sequence; @@ -34,9 +38,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; -/** - * Created by Alex on 19/05/2017. - */ public class TestConvertToSequence extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/java/org/datavec/spark/util/TestSparkUtil.java b/datavec/datavec-spark/src/test/java/org/datavec/spark/util/TestSparkUtil.java index 96b12a59c..7c9b61291 100644 --- a/datavec/datavec-spark/src/test/java/org/datavec/spark/util/TestSparkUtil.java +++ b/datavec/datavec-spark/src/test/java/org/datavec/spark/util/TestSparkUtil.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) 2015-2018 Skymind, Inc. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.datavec.spark.util; @@ -33,9 +37,6 @@ import java.util.List; import static org.junit.Assert.assertEquals; -/** - * Created by Alex on 22/12/2016. - */ public class TestSparkUtil extends BaseSparkTest { @Test diff --git a/datavec/datavec-spark/src/test/resources/log4j.properties b/datavec/datavec-spark/src/test/resources/log4j.properties index 00eaf12f4..c5d6b5f4c 100644 --- a/datavec/datavec-spark/src/test/resources/log4j.properties +++ b/datavec/datavec-spark/src/test/resources/log4j.properties @@ -1,18 +1,22 @@ -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. # -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ log4j.rootLogger=ERROR, Console log4j.logger.play=DEBUG diff --git a/datavec/datavec-spark/src/test/resources/logback.xml b/datavec/datavec-spark/src/test/resources/logback.xml index 2087d615c..abb9912c7 100644 --- a/datavec/datavec-spark/src/test/resources/logback.xml +++ b/datavec/datavec-spark/src/test/resources/logback.xml @@ -1,18 +1,22 @@ - + diff --git a/datavec/pom.xml b/datavec/pom.xml index c6e342ace..4142db170 100644 --- a/datavec/pom.xml +++ b/datavec/pom.xml @@ -1,33 +1,36 @@ - - + + 4.0.0 + org.deeplearning4j deeplearning4j 1.0.0-SNAPSHOT - 4.0.0 - org.datavec datavec-parent pom @@ -35,26 +38,7 @@ DataVec Vectorization Rosetta Stone for the JVM - - - Apache License, Version 2.0 - http://www.apache.org/licenses/LICENSE-2.0.txt - repo - - - - - agibsonccc - Adam Gibson - 0@blix.io - - - jpatanooga - Josh Patterson - josh@floe.tv - - datavec-api @@ -65,9 +49,45 @@ datavec-jdbc datavec-excel datavec-arrow - datavec-python + + + + org.apache.commons + commons-lang3 + ${commons-lang3.version} + + + commons-io + commons-io + ${commons-io.version} + + + org.slf4j + slf4j-api + ${slf4j.version} + + + joda-time + joda-time + ${jodatime.version} + + + + org.nd4j + nd4j-common + ${nd4j.version} + + + + org.nd4j + nd4j-api + ${nd4j.version} + + + + junit @@ -87,6 +107,18 @@ ${lombok.version} provided + + ch.qos.logback + logback-classic + ${logback.version} + test + + + org.nd4j + nd4j-common-tests + ${nd4j.version} + test + @@ -97,6 +129,7 @@ 1.2.1 + @@ -123,33 +156,6 @@ - - maven-javadoc-plugin - ${maven-javadoc-plugin.version} - - -Xdoclint:none - - - - attach-javadocs - - jar - - - - - - maven-source-plugin - ${maven-source-plugin.version} - - - attach-sources - - jar - - - - maven-surefire-plugin ${maven-surefire-plugin.version} @@ -167,75 +173,15 @@ false - - maven-release-plugin - ${maven-release-plugin.version} - - forked-path - - -Psonatype-oss-release -DskipTests ${arguments} - true - false - - - - maven-gpg-plugin - ${maven-gpg-plugin.version} - - ${gpg.passphrase} - - - - sign-artifacts - verify - - sign - - - - - - maven-compiler-plugin - ${maven-compiler-plugin.version} - - 1.7 - 1.7 - - org.eclipse.m2e lifecycle-mapping - ${maven-lifecycle-mapping-plugin.version} - - - - - - com.lewisd - lint-maven-plugin - [0.0.11,) - - check - - - - - - - - - - maven-javadoc-plugin - - - maven-source-plugin - - + org.apache.maven.plugins maven-surefire-plugin @@ -267,17 +213,16 @@ net.revelc.code.formatter formatter-maven-plugin - ${maven-formatter-plugin.version} - ${session.executionRootDirectory}/contrib/formatter.xml datavec-api + datavec-arrow datavec-data - datavec-geo - datavec-hadoop - datavec-spark - datavec-camel + datavec-excel + datavec-jdbc datavec-local + datavec-python + datavec-spark datavec-spark-inference-parent @@ -286,67 +231,15 @@ pl.project13.maven git-commit-id-plugin - ${maven-git-commit-id-plugin.version} - - - - revision - - generate-resources - - - - true - - ${project.basedir}/target/generated-sources/src/main/resources/ai/skymind/${project.groupId}-${project.artifactId}-git.properties - - - true - - org.codehaus.mojo build-helper-maven-plugin - ${maven-build-helper-plugin.version} - - - add-resource - generate-resources - - add-resource - - - - - - ${project.basedir}/target/generated-sources/src/main/resources - - - - - - - - - - maven-surefire-report-plugin - ${maven-surefire-plugin.version} - - - - org.codehaus.mojo - cobertura-maven-plugin - 2.7 - - - - test-nd4j-native @@ -365,7 +258,6 @@ - test-nd4j-cuda-11.0 diff --git a/deeplearning4j/README.md b/deeplearning4j/README.md index 517cc820e..1fff6a567 100755 --- a/deeplearning4j/README.md +++ b/deeplearning4j/README.md @@ -1,17 +1,6 @@ Eclipse Deeplearning4J: Neural Networks for Java/JVM ========================= -[![Join the chat at https://gitter.im/deeplearning4j/deeplearning4j](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/deeplearning4j/deeplearning4j?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) -[![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.deeplearning4j/deeplearning4j-core/badge.svg)](https://maven-badges.herokuapp.com/maven-central/org.deeplearning4j/deeplearning4j-core) -[![Javadoc](https://javadoc-badge.appspot.com/org.deeplearning4j/deeplearning4j-core.svg)](https://deeplearning4j.org/api/latest/) - -Eclipse Deeplearning4J is part of the [Skymind Intelligence Layer](https://docs.skymind.ai/docs), along with ND4J, DataVec, Arbiter and RL4J. It is an Apache 2.0-licensed, open-source, distributed neural net library written in Java and Scala. By contributing code to this repository, you agree to make your contribution available under an Apache 2.0 license. - -Deeplearning4J integrates with Hadoop and Spark and runs on several backends that enable use of CPUs and GPUs. The aim is to create a plug-and-play solution that is more convention than configuration, and which allows for fast prototyping. - -The most recent stable release in Maven Central is `0.9.1`, and the current master on Github can be built from source. - -For more info, see: https://docs.skymind.ai/docs --- ## Using Eclipse Deeplearning4j @@ -42,7 +31,8 @@ Documentation is available at [deeplearning4j.org](https://deeplearning4j.org/ov ## Support -We are not supporting Stackoverflow right now. Github issues should focus on bug reports and feature requests. Please join the community on [Gitter](https://gitter.im/deeplearning4j/deeplearning4j), where we field questions about how to install the software and work with neural nets. For support from Skymind, please see our [contact page](https://skymind.io/contact). +. Github issues should focus on bug reports and feature requests. +Please join the community on [Gitter](https://community.konduit.ai), where we field questions about how to install the software and work with neural nets. For support from Skymind, please see our [contact page](https://skymind.io/contact). ## Installation diff --git a/deeplearning4j/buildmultiplescalaversions.sh b/deeplearning4j/buildmultiplescalaversions.sh index 19ff8bae6..3bd7570bf 100755 --- a/deeplearning4j/buildmultiplescalaversions.sh +++ b/deeplearning4j/buildmultiplescalaversions.sh @@ -1,19 +1,23 @@ #! /bin/bash -################################################################################ -# Copyright (c) 2015-2018 Skymind, Inc. # -# This program and the accompanying materials are made available under the -# terms of the Apache License, Version 2.0 which is available at -# https://www.apache.org/licenses/LICENSE-2.0. +# /* ****************************************************************************** +# * +# * +# * This program and the accompanying materials are made available under the +# * terms of the Apache License, Version 2.0 which is available at +# * https://www.apache.org/licenses/LICENSE-2.0. +# * +# * See the NOTICE file distributed with this work for additional +# * information regarding copyright ownership. +# * Unless required by applicable law or agreed to in writing, software +# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# * License for the specific language governing permissions and limitations +# * under the License. +# * +# * SPDX-License-Identifier: Apache-2.0 +# ******************************************************************************/ # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT -# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the -# License for the specific language governing permissions and limitations -# under the License. -# -# SPDX-License-Identifier: Apache-2.0 -################################################################################ BASEDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" diff --git a/deeplearning4j/deeplearning4j-common-tests/pom.xml b/deeplearning4j/deeplearning4j-common-tests/pom.xml index d19aa85c4..852471025 100644 --- a/deeplearning4j/deeplearning4j-common-tests/pom.xml +++ b/deeplearning4j/deeplearning4j-common-tests/pom.xml @@ -1,28 +1,34 @@ - + + xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" + xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> + + 4.0.0 + - deeplearning4j-parent org.deeplearning4j + deeplearning4j-parent 1.0.0-SNAPSHOT - 4.0.0 deeplearning4j-common-tests @@ -60,7 +66,6 @@ - test-nd4j-cuda-11.0 @@ -73,5 +78,4 @@ - - \ No newline at end of file + diff --git a/deeplearning4j/deeplearning4j-common-tests/src/main/java/org/deeplearning4j/BaseDL4JTest.java b/deeplearning4j/deeplearning4j-common-tests/src/main/java/org/deeplearning4j/BaseDL4JTest.java index b74df2d2c..e95993a79 100644 --- a/deeplearning4j/deeplearning4j-common-tests/src/main/java/org/deeplearning4j/BaseDL4JTest.java +++ b/deeplearning4j/deeplearning4j-common-tests/src/main/java/org/deeplearning4j/BaseDL4JTest.java @@ -1,19 +1,22 @@ -/* ****************************************************************************** - * Copyright (c) 2015-2018 Skymind, Inc. - * Copyright (c) 2019-2020 Konduit K.K. - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.deeplearning4j; diff --git a/deeplearning4j/deeplearning4j-common/pom.xml b/deeplearning4j/deeplearning4j-common/pom.xml index 4f44582f6..bf250b0af 100644 --- a/deeplearning4j/deeplearning4j-common/pom.xml +++ b/deeplearning4j/deeplearning4j-common/pom.xml @@ -1,29 +1,35 @@ - + + xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" + xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> + + 4.0.0 + - deeplearning4j-parent org.deeplearning4j + deeplearning4j-parent 1.0.0-SNAPSHOT - 4.0.0 deeplearning4j-common diff --git a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JClassLoading.java b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JClassLoading.java index ae8e6da3f..83cba9988 100644 --- a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JClassLoading.java +++ b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JClassLoading.java @@ -1,18 +1,22 @@ -/******************************************************************************* - * Copyright (c) Eclipse Deeplearning4j Contributors 2020 - * - * This program and the accompanying materials are made available under the - * terms of the Apache License, Version 2.0 which is available at - * https://www.apache.org/licenses/LICENSE-2.0. - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the - * License for the specific language governing permissions and limitations - * under the License. - * - * SPDX-License-Identifier: Apache-2.0 - ******************************************************************************/ +/* + * ****************************************************************************** + * * + * * + * * This program and the accompanying materials are made available under the + * * terms of the Apache License, Version 2.0 which is available at + * * https://www.apache.org/licenses/LICENSE-2.0. + * * + * * See the NOTICE file distributed with this work for additional + * * information regarding copyright ownership. + * * Unless required by applicable law or agreed to in writing, software + * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT + * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the + * * License for the specific language governing permissions and limitations + * * under the License. + * * + * * SPDX-License-Identifier: Apache-2.0 + * ***************************************************************************** + */ package org.deeplearning4j.common.config; @@ -23,27 +27,6 @@ import java.lang.reflect.InvocationTargetException; import java.util.Objects; import java.util.ServiceLoader; -/** - * Global context for class-loading in DL4J. - *

Use {@code DL4JClassLoading} to define classloader for Deeplearning4j only! To define classloader used by - * {@code ND4J} use class {@link org.nd4j.common.config.ND4JClassLoading}. - * - *

Usage: - * 

{@code
- * public class Application {
- *     static {
- *         DL4JClassLoading.setDl4jClassloaderFromClass(Application.class);
- *     }
- *
- *     public static void main(String[] args) {
- *     }
- * }
- * }
- *
- * @see org.nd4j.common.config.ND4JClassLoading
- *
- * @author Alexei KLENIN
- */
 @Slf4j
 public class DL4JClassLoading {
     private static ClassLoader dl4jClassloader = ND4JClassLoading.getNd4jClassloader();
diff --git a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JEnvironmentVars.java b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JEnvironmentVars.java
index a4e1e37c9..ab3f12353 100644
--- a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JEnvironmentVars.java
+++ b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JEnvironmentVars.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.common.config;
 
-/**
- * DL4JSystemProperties class contains the environment variables that can be used to configure various aspects of DL4J.
- * See the javadoc of each variable for details
- *
- * @author Alex Black
- */
 public class DL4JEnvironmentVars {
 
     private DL4JEnvironmentVars(){ }
diff --git a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JSystemProperties.java b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JSystemProperties.java
index d00532ada..4a8299eb0 100644
--- a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JSystemProperties.java
+++ b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/config/DL4JSystemProperties.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.common.config;
 
-/**
- * DL4JSystemProperties class contains the system properties that can be used to configure various aspects of DL4J.
- * See the javadoc of each property for details
- *
- * @author Alex Black
- */
 public class DL4JSystemProperties {
 
     private DL4JSystemProperties(){ }
diff --git a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/DL4JResources.java b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/DL4JResources.java
index 394e3cc89..e8f6ecda0 100644
--- a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/DL4JResources.java
+++ b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/DL4JResources.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.common.resources;
 
@@ -24,14 +28,6 @@ import java.io.File;
 import java.net.MalformedURLException;
 import java.net.URL;
 
-/**
- * DL4JResources controls the local storage locations for models and datasets that are downloaded and stored locally.

- * The storage location is customizable in 2 ways:

- * (a) via the {@link #DL4J_RESOURCES_DIR_PROPERTY} system property, org.deeplearning4j.resources.directory

- * (b) By calling {@link #setBaseDirectory(File)} at runtime

- *
- * @author Alex Black
- */
 public class DL4JResources {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/ResourceType.java b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/ResourceType.java
index b62c451a0..b5438f4c1 100644
--- a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/ResourceType.java
+++ b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/resources/ResourceType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.common.resources;
 
diff --git a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/util/DL4JFileUtils.java b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/util/DL4JFileUtils.java
index 7246a07d8..a514be4f4 100644
--- a/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/util/DL4JFileUtils.java
+++ b/deeplearning4j/deeplearning4j-common/src/main/java/org/deeplearning4j/common/util/DL4JFileUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.common.util;
 
@@ -21,11 +25,6 @@ import org.deeplearning4j.common.config.DL4JSystemProperties;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * Utilities for working with temporary files
- *
- * @author Alex Black
- */
 public class DL4JFileUtils {
 
     private DL4JFileUtils(){ }
diff --git a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/DL4JClassLoadingTest.java b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/DL4JClassLoadingTest.java
index 9f0ff3bda..d3740a8d1 100644
--- a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/DL4JClassLoadingTest.java
+++ b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/DL4JClassLoadingTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.common.config;
 
 import static org.junit.Assert.assertEquals;
diff --git a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestAbstract.java b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestAbstract.java
index a833a4aa0..6d86bb596 100644
--- a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestAbstract.java
+++ b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestAbstract.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.common.config.dummies;
 
 public abstract class TestAbstract {
diff --git a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestColor.java b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestColor.java
index 02b1e09ca..c2a7d19a1 100644
--- a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestColor.java
+++ b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestColor.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.common.config.dummies;
 
 public class TestColor extends TestAbstract {
diff --git a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestDummy.java b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestDummy.java
index 682044d95..f783066dd 100644
--- a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestDummy.java
+++ b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestDummy.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.common.config.dummies;
 
 public class TestDummy {
diff --git a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestRectangle.java b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestRectangle.java
index 3b2b9cc9f..7f4047f36 100644
--- a/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestRectangle.java
+++ b/deeplearning4j/deeplearning4j-common/src/test/java/org/deeplearning4j/common/config/dummies/TestRectangle.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.common.config.dummies;
 
 public class TestRectangle extends TestAbstract {
diff --git a/deeplearning4j/deeplearning4j-core/pom.xml b/deeplearning4j/deeplearning4j-core/pom.xml
index f8dc0123b..6efc26d34 100644
--- a/deeplearning4j/deeplearning4j-core/pom.xml
+++ b/deeplearning4j/deeplearning4j-core/pom.xml
@@ -1,27 +1,38 @@
-
+
+
+
+
 
-
     4.0.0
-    deeplearning4j-core
+
     
         org.deeplearning4j
         deeplearning4j-parent
         1.0.0-SNAPSHOT
     
+
+    deeplearning4j-core
+
     
         
             
@@ -63,19 +74,16 @@
             org.slf4j
             slf4j-api
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-nn
             ${project.version}
         
-
         
             org.apache.commons
             commons-math3
@@ -93,7 +101,6 @@
         
             junit
             junit
-            test
         
         
             org.deeplearning4j
@@ -101,51 +108,43 @@
             ${project.version}
             test
         
-
         
             org.nd4j
             nd4j-api
         
-
         
             org.apache.commons
             commons-lang3
             ${commonslang.version}
         
-
         
         
             org.nd4j
             jackson
             ${nd4j.version}
         
-
         
             org.projectlombok
             lombok
             ${lombok.version}
             provided
         
-
         
             org.datavec
             datavec-api
             ${datavec.version}
         
-
         
             org.datavec
             datavec-data-image
             ${datavec.version}
         
-
         
         
             org.deeplearning4j
             deeplearning4j-ui-components
             ${project.version}
         
-
         
         
             javax.xml.bind
@@ -153,7 +152,7 @@
             ${jaxb.version}
             provided
         
-         
+        
         
             com.github.oshi
             oshi-json
@@ -164,6 +163,12 @@
             oshi-core
             ${oshi.version}
         
+        
+            org.nd4j
+            nd4j-native
+            ${project.version}
+            test
+        
     
 
     
@@ -178,7 +183,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/test/TestDataSetIterator.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/test/TestDataSetIterator.java
index fe9ee593e..2bda23111 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/test/TestDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/test/TestDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.datasets.test;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.util.List;
 
-/**
- * Track number of times the dataset iterator has been called
- * @author agibsonccc
- *
- */
 public class TestDataSetIterator implements DataSetIterator {
     /**
      * 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/vectorizer/Vectorizer.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/vectorizer/Vectorizer.java
index ceca4196d..8871c88d1 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/vectorizer/Vectorizer.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/datasets/vectorizer/Vectorizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.datasets.vectorizer;
 
@@ -21,13 +25,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.Serializable;
 
-/**
- * A Vectorizer at its essence takes an input source
- * and converts it to a matrix for neural network consumption.
- * 
- * @author Adam Gibson
- *
- */
 public interface Vectorizer extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/evaluation/EvaluationTools.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/evaluation/EvaluationTools.java
index 0f2e9b344..6d4295e1f 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/evaluation/EvaluationTools.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/evaluation/EvaluationTools.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.evaluation;
 
@@ -44,11 +48,6 @@ import java.nio.charset.StandardCharsets;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Tools for evaluation and rendering {@link ROC} and {@link ROCMultiClass} results
- *
- * @author Alex Black
- */
 public class EvaluationTools {
 
     private static final String ROC_TITLE = "ROC: TPR/Recall (y) vs. FPR (x)";
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DeviceMetric.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DeviceMetric.java
index d31e95a52..f61d603ff 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DeviceMetric.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DeviceMetric.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DiskInfo.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DiskInfo.java
index 1c3325e9e..058ffcd2c 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DiskInfo.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/DiskInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/HardwareMetric.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/HardwareMetric.java
index 3749bc0db..6af3190e4 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/HardwareMetric.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/HardwareMetric.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoFilePrintListener.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoFilePrintListener.java
index 1c66c921f..88f8a2bd8 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoFilePrintListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoFilePrintListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.listener;
 
@@ -30,12 +34,6 @@ import java.io.IOException;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Using {@link SystemInfo} - it prints a json representation
- * on each callback to the specified file.
- *
- * @author Adam Gibson
- */
 @Slf4j
 @Builder
 public class SystemInfoFilePrintListener implements TrainingListener {
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoPrintListener.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoPrintListener.java
index efff7c8e7..5b115d542 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoPrintListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemInfoPrintListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemPolling.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemPolling.java
index efc0d047a..74e030b2f 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemPolling.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/listener/SystemPolling.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.listener;
 
@@ -28,15 +32,6 @@ import java.util.concurrent.Executors;
 import java.util.concurrent.ScheduledExecutorService;
 import java.util.concurrent.TimeUnit;
 
-/**
- * Poll a system for its local statistics with a specified time.
- * The polling process will output a yaml file
- * in the specified output directory
- *
- * with all the related system diagnostics.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class SystemPolling {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/DataSetLoader.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/DataSetLoader.java
index d35107a89..40ad68bd7 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/DataSetLoader.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/DataSetLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.loader;
 
@@ -20,11 +24,6 @@ import org.nd4j.common.loader.Loader;
 import org.nd4j.common.loader.Source;
 import org.nd4j.linalg.dataset.DataSet;
 
-/**
- * An interface for loading DataSets from a {@link Source}
- *
- * @author Alex Black
- */
 public interface DataSetLoader extends Loader {
 
 }
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/MultiDataSetLoader.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/MultiDataSetLoader.java
index 2eca0e068..3e27dd11b 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/MultiDataSetLoader.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/MultiDataSetLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.loader;
 
@@ -20,11 +24,6 @@ import org.nd4j.common.loader.Loader;
 import org.nd4j.common.loader.Source;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * An interface for loading MultiDataSets from a {@link Source}
- *
- * @author Alex Black
- */
 public interface MultiDataSetLoader extends Loader {
 
 }
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/RecordReaderFileBatchLoader.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/RecordReaderFileBatchLoader.java
index 187470529..866673634 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/RecordReaderFileBatchLoader.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/RecordReaderFileBatchLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.loader.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
 import java.io.IOException;
 
-/**
- * A dataset loader for use with FileBatch objects.
- * The API (constructor arguments) mirrors {@link RecordReaderDataSetIterator} which it uses internally.
- * Can be used in the context of Spark - see SparkDataUtils methods for this purpose
- */
 public class RecordReaderFileBatchLoader implements DataSetLoader {
     private final RecordReader recordReader;
     private final int batchSize;
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedDataSetLoader.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedDataSetLoader.java
index 7a3c5d8b7..3ac4ae446 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedDataSetLoader.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedDataSetLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.loader.impl;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.io.IOException;
 import java.io.InputStream;
 
-/**
- * Loads DataSets using {@link DataSet#load(InputStream)}
- *
- * @author Alex Black
- */
 public class SerializedDataSetLoader implements DataSetLoader {
     @Override
     public DataSet load(Source source) throws IOException {
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedMultiDataSetLoader.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedMultiDataSetLoader.java
index 78e9b2d8c..849e676d7 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedMultiDataSetLoader.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/loader/impl/SerializedMultiDataSetLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.loader.impl;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import java.io.IOException;
 import java.io.InputStream;
 
-/**
- * Loads DataSets using {@link MultiDataSet#load(InputStream)}
- *
- * @author Alex Black
- */
 public class SerializedMultiDataSetLoader implements MultiDataSetLoader {
     @Override
     public MultiDataSet load(Source source) throws IOException {
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/parallelism/AsyncIterator.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/parallelism/AsyncIterator.java
index f45cc4036..0ecab4f12 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/parallelism/AsyncIterator.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/parallelism/AsyncIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.parallelism;
 
@@ -25,11 +29,6 @@ import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * Asynchronous Iterator for better performance of iterators in dl4j-nn & dl4j-nlp
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AsyncIterator implements Iterator {
     @Getter
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/Persistable.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/Persistable.java
index 8bf35d234..f780af2c6 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/Persistable.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/Persistable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
@@ -22,9 +26,6 @@ import java.io.OutputStream;
 import java.io.Serializable;
 import java.nio.ByteBuffer;
 
-/**
- * Created by Alex on 07/10/2016.
- */
 public interface Persistable extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorage.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorage.java
index 9669fc2b4..b92594dec 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorage.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorage.java
@@ -1,46 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
 import java.io.IOException;
 import java.util.List;
 
-/**
- * A general-purpose stats storage mechanism, for storing stats information (mainly used for iteration listeners).
- * 

- * Key design ideas:
- * (a) Two types of storable objects:
- * i.  {@link Persistable} objects, for once per session objects ("static info") and also for periodically reported data ("updates")
- * ii. {@link StorageMetaData} objects, for
- * (b) There are 4 types of things used to uniquely identify these Persistable objects:

- * i.   SessionID: A unique identifier for a single session

- * ii.  TypeID: A unique identifier for the listener or type of data

- * For example, we might have stats from 2 (or more) listeners with identical session and worker IDs

- * This is typically hard-coded, per listener class

- * iii. WorkerID: A unique identifier for workers, within a session

- * iv.  Timestamp: time at which the record was created

- * For example, single machine training (with 1 listener) would have 1 session ID, 1 type ID, 1 worker ID, and multiple timestamps.

- * Distributed training multiple listeres could have 1 session ID, multiple type IDs, and multiple worker IDs, and multiple timestamps for each

- * A hyperparameter optimization job could have multiple session IDs on top of that.

- * 

- * Note that the StatsStorage interface extends {@link StatsStorageRouter}
- *
- * @author Alex Black
- */
 public interface StatsStorage extends StatsStorageRouter {
 
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageEvent.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageEvent.java
index e7a873319..783b084df 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageEvent.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageEvent.java
@@ -1,32 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 
-/**
- * StatsStorageEvent: use with {@link StatsStorageListener} to specify when the state of the {@link StatsStorage}
- * implementation changes.

- * Note that depending on the {@link StatsStorageListener.EventType}, some of the
- * field may be null.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class StatsStorageEvent {
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageListener.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageListener.java
index 144534f87..e749389d8 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageListener.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
-/**
- * A listener interface, so that classes can be notified of changes to a {@link StatsStorage}
- * implementation
- *
- * @author Alex Black
- */
 public interface StatsStorageListener {
 
     enum EventType {
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouter.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouter.java
index 32f86583c..55cdb73df 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouter.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouter.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
 
 import java.util.Collection;
 
-/**
- * StatsStorageRouter is intended to route static info, metadata and updates somewhere - generally to a
- * {@link StatsStorage} implementation. For example, a StatsStorageRouter might serialize and send objects over a network.
- *
- * @author Alex Black
- */
 public interface StatsStorageRouter {
 
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouterProvider.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouterProvider.java
index fe9bc1963..a671530ff 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouterProvider.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StatsStorageRouterProvider.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
 import java.io.Serializable;
 
-/**
- * Simple interface to provide a StatsStorageRouter. Typically used for distributed training such as Spark.
- *
- * @author Alex Black
- */
 public interface StatsStorageRouterProvider extends Serializable {
 
     StatsStorageRouter getRouter();
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageMetaData.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageMetaData.java
index ea6ac06fd..a8f58b5c8 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageMetaData.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageMetaData.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
 import java.io.Serializable;
 
-/**
- * StorageMetaData: contains metadata (such at types, and arbitrary custom serializable data) for storage
- *
- * @author Alex Black
- */
 public interface StorageMetaData extends Persistable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageType.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageType.java
index 586a9ce3d..c59996828 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageType.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/StorageType.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage;
 
-/**
- * Type of storage information
- *
- * @author Alex Black
- */
 public enum StorageType {
     MetaData, StaticInfo, Update
 }
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/CollectionStatsStorageRouter.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/CollectionStatsStorageRouter.java
index f537bae41..c8910d703 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/CollectionStatsStorageRouter.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/CollectionStatsStorageRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage.impl;
 
@@ -23,12 +27,6 @@ import org.deeplearning4j.core.storage.StorageMetaData;
 
 import java.util.Collection;
 
-/**
- * A simple StatsStorageRouter that simply stores the metadata, static info and updates in the specified
- * collections. Typically used for testing.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class CollectionStatsStorageRouter implements StatsStorageRouter {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/RemoteUIStatsStorageRouter.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/RemoteUIStatsStorageRouter.java
index 9d70ab2da..980cfea1c 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/RemoteUIStatsStorageRouter.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/impl/RemoteUIStatsStorageRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage.impl;
 
@@ -35,12 +39,6 @@ import java.util.concurrent.LinkedBlockingDeque;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Asynchronously post all updates to a remote UI that has remote listening enabled.

- * Typically used with UIServer (don't forget to enable remote listener support - UIServer.getInstance().enableRemoteListener()
- *
- * @author Alex Black
- */
 @Slf4j
 public class RemoteUIStatsStorageRouter implements StatsStorageRouter, Serializable, Closeable {
     private static final String ROUTE_IS_DOWN = "Info posted to RemoteUIStatsStorageRouter but router is shut down.";
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/listener/RoutingIterationListener.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/listener/RoutingIterationListener.java
index 12f028a37..b85fb27dc 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/listener/RoutingIterationListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/storage/listener/RoutingIterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.storage.listener;
 
@@ -22,16 +26,6 @@ import org.deeplearning4j.optimize.api.TrainingListener;
 
 import java.io.Serializable;
 
-/**
- * An extension of the {@link TrainingListener} interface for those listeners that pass data off to a
- * {@link StatsStorageRouter} instance.
- * The most common use case here is in distributed training scenarios: each worker has a set of listeners, that have
- * to be serialized and transferred across the network, to some storage mechanism.

- * The StatsStorageRouter implementations themselves may not be serializable, or should be shared between multiple workers,
- * so instead, we use a {@link StatsStorageRouterProvider}
- *
- * @author Alex Black
- */
 public interface RoutingIterationListener extends TrainingListener, Cloneable, Serializable {
 
     void setStorageRouter(StatsStorageRouter router);
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/ui/UiConnectionInfo.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/ui/UiConnectionInfo.java
index 390618d4e..a2c81576c 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/ui/UiConnectionInfo.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/ui/UiConnectionInfo.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.ui;
 
 import lombok.Data;
 import lombok.NonNull;
 
-/**
- * POJO describing the location and credentials for DL4j UiServer instance
- *
- * @author raver119@gmail.com
- */
 @Data
 public class UiConnectionInfo {
     private String sessionId;
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesser.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesser.java
index a393d100b..8aabe3fe4 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesser.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesser.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.util;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesserException.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesserException.java
index a098d5554..60d46d414 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesserException.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ModelGuesserException.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.util;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/MovingWindowMatrix.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/MovingWindowMatrix.java
index 871947254..853a2bd98 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/MovingWindowMatrix.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/MovingWindowMatrix.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.util;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ThreadUtils.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ThreadUtils.java
index 60eae4d61..7834c3f8f 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ThreadUtils.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/ThreadUtils.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.util;
 
 import java.util.concurrent.locks.LockSupport;
 
-/**
- * Utils for the basic use and flow of threads.
- */
 public class ThreadUtils {
     public static void uncheckedSleep(long millis) {
         LockSupport.parkNanos(millis * 1000000);
diff --git a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/UIDProvider.java b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/UIDProvider.java
index 471f924de..aad9bd241 100644
--- a/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/UIDProvider.java
+++ b/deeplearning4j/deeplearning4j-core/src/main/java/org/deeplearning4j/core/util/UIDProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.core.util;
 
@@ -22,16 +26,6 @@ import java.net.NetworkInterface;
 import java.rmi.server.UID;
 import java.util.Enumeration;
 
-/**
- * Static methods for obtaining unique identifiers for both the machine (hardware) and the JVM.
- *
- * Note: the unique hardware identifier does NOT provide any strong guarantees of uniqueness of the returned identifier
- * with respect to machine restarts and hardware changes, and should not be relied upon for anything where guarantees
- * are required.
- * Note also that as a fallback, if no hardware UID can be determined, the JVM UID will be returned as the hardware UID also.
- *
- * @author Alex Black
- */
 @Slf4j
 public class UIDProvider {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java
index a8c555143..e07708dbc 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j;
 
 import lombok.extern.slf4j.Slf4j;
@@ -20,14 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 import java.util.*;
 import org.nd4j.common.tests.AbstractAssertTestsClass;
 
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4JTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alex Black
- * @author Alexander Stoyakin
- */
 @Slf4j
 public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/LayerHelperValidationUtil.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/LayerHelperValidationUtil.java
index 1279be530..d35527076 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/LayerHelperValidationUtil.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/LayerHelperValidationUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java
index 3ea9e07f3..50fab2c70 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j;
 
 import org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/TestUtils.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/TestUtils.java
index c004c5c0d..7b1944802 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/TestUtils.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/TestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/MnistFetcherTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/MnistFetcherTest.java
index b7a3a6f00..59da9f5d6 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/MnistFetcherTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/MnistFetcherTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets;
 
@@ -38,9 +42,6 @@ import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author Justin Long (crockpotveggies)
- */
 public class MnistFetcherTest extends BaseDL4JTest {
 
     @ClassRule
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/TestDataSets.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/TestDataSets.java
index 44aa9a0b3..725bb402f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/TestDataSets.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/TestDataSets.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetiteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetiteratorTest.java
index 22cd30684..6405ea8c9 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetiteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetiteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec;
 
@@ -65,9 +69,6 @@ import static org.junit.Assert.*;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 
-/**
- * Created by agibsonccc on 3/6/15.
- */
 @Slf4j
 public class RecordReaderDataSetiteratorTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIteratorTest.java
index d4f3eb94d..7901ba71f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/tools/SpecialImageRecordReader.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/tools/SpecialImageRecordReader.java
index 78e0ad082..e1ec7d90b 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/tools/SpecialImageRecordReader.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/datavec/tools/SpecialImageRecordReader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec.tools;
 
@@ -33,10 +37,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SpecialImageRecordReader extends ImageRecordReader {
     private AtomicInteger counter = new AtomicInteger(0);
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java
index e662be659..617e0d1ff 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIteratorTest.java
index 7c1681c42..4a6eac144 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -29,9 +33,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by raver on 16.06.2016.
- */
 public class AbstractDataSetIteratorTest extends BaseDL4JTest {
     @Test
     public void next() throws Exception {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIteratorTest.java
index 3e5015356..5a9c71595 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -34,9 +38,6 @@ import java.util.concurrent.atomic.AtomicLong;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotEquals;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AsyncDataSetIteratorTest extends BaseDL4JTest {
     private ExistingDataSetIterator backIterator;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIteratorTest.java
index d6a0d1fe1..4747beed8 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AsyncMultiDataSetIteratorTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessorTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessorTests.java
index 51a9389ef..99f302f64 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessorTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessorTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by susaneraly on 6/17/17.
- */
 public class CombinedPreProcessorTests extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetIteratorTest.java
index b2f45089d..55f460117 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java
index 149736055..6ac61086e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIteratorTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIteratorTests.java
index 2b9700bbe..228f54b5e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIteratorTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIteratorTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIteratorTest.java
index 19b56679c..3221386f5 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,9 +34,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by susaneraly on 6/8/17.
- */
 public class EarlyTerminationDataSetIteratorTest extends BaseDL4JTest {
 
     int minibatchSize = 10;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIteratorTest.java
index 6aa761579..51f7cd949 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -32,9 +36,6 @@ import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by susaneraly on 6/8/17.
- */
 public class EarlyTerminationMultiDataSetIteratorTest extends BaseDL4JTest {
 
     int minibatchSize = 5;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIteratorTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIteratorTests.java
index 2108c9ec3..c4f66a5ac 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIteratorTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIteratorTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java
index 92bb582d6..23c2da124 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,9 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotNull;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class JointParallelDataSetIteratorTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/LoaderIteratorTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/LoaderIteratorTests.java
index 9dcb8b3e0..f35780127 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/LoaderIteratorTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/LoaderIteratorTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java
index 2e2853133..ec23dc31a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,10 +34,6 @@ import java.util.Random;
 
 import static org.junit.Assert.*;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class MultiDataSetSplitterTests extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIteratorTest.java
index 7c9ca3099..a013781ac 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/RandomDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/RandomDataSetIteratorTest.java
index 9ddb6abe8..47a155f01 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/RandomDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/RandomDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/SamplingTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/SamplingTest.java
index fa8f20662..81c6e1575 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/SamplingTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/SamplingTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestAsyncIterator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestAsyncIterator.java
index 0202d756d..66837621d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestAsyncIterator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestAsyncIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -31,10 +35,6 @@ import java.util.List;
 import static junit.framework.TestCase.assertTrue;
 import static org.junit.Assert.*;
 
-/**
- *
- * @author Alex Black
- */
 @Ignore
 public class TestAsyncIterator extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestEmnistDataSetIterator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestEmnistDataSetIterator.java
index c5ac04901..888e514de 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestEmnistDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestEmnistDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -29,9 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 28/07/2017.
- */
 @Slf4j
 public class TestEmnistDataSetIterator extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestFileIterators.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestFileIterators.java
index dfd95873d..6edcb8296 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestFileIterators.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/TestFileIterators.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java
index 63e49bddf..f472701c9 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.tools;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/MultiDataSetGenerator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/MultiDataSetGenerator.java
index c1aee74d0..08c3935c6 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/MultiDataSetGenerator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/MultiDataSetGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.tools;
 
@@ -26,10 +30,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Simple tool that generates pre-defined datastes
- * @author raver119@gmail.com
- */
 public class MultiDataSetGenerator implements MultiDataSetIterator {
 
     protected final int[] shapeFeatures;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/SimpleVariableGenerator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/SimpleVariableGenerator.java
index c36f9d05c..172a80167 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/SimpleVariableGenerator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/SimpleVariableGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.tools;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * @author raver119@gmail.com
- */
 public class SimpleVariableGenerator implements DataSetIterator {
     private long seed;
     private int numBatches;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableMultiTimeseriesGenerator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableMultiTimeseriesGenerator.java
index 17642b74c..d971bb5a1 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableMultiTimeseriesGenerator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableMultiTimeseriesGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.tools;
 
@@ -27,10 +31,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Random;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This helper class generates
- * @author raver119@gmail.com
- */
 @Slf4j
 public class VariableMultiTimeseriesGenerator implements MultiDataSetIterator {
     protected Random rng;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableTimeseriesGenerator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableTimeseriesGenerator.java
index 46dbbac9c..818303a3e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableTimeseriesGenerator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/VariableTimeseriesGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.tools;
 
@@ -28,10 +32,6 @@ import java.util.List;
 import java.util.Random;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This helper class generates
- * @author raver119@gmail.com
- */
 @Slf4j
 public class VariableTimeseriesGenerator implements DataSetIterator {
     protected Random rng;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStopping.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStopping.java
index 53e505e3b..de1c24df7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStopping.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStopping.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStoppingCompGraph.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStoppingCompGraph.java
index 16bc4c31f..83af3ac95 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStoppingCompGraph.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/earlystopping/TestEarlyStoppingCompGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalJsonTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalJsonTest.java
index db86ad617..797bbd8f7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalJsonTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalJsonTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalTest.java
index ba8a23e8d..90bb43d95 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvalTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -59,9 +63,6 @@ import java.util.*;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by agibsonccc on 12/22/14.
- */
 public class EvalTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvaluationToolsTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvaluationToolsTests.java
index 2f68dc4c1..63406f221 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvaluationToolsTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/EvaluationToolsTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -37,9 +41,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Arrays;
 import java.util.Random;
 
-/**
- * Created by Alex on 07/01/2017.
- */
 public class EvaluationToolsTests extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java
index 27cde5283..09586699d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -41,9 +45,6 @@ import java.util.*;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 04/11/2016.
- */
 public class ROCTest extends BaseDL4JTest {
 
     private static Map expTPR;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/RegressionEvalTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/RegressionEvalTest.java
index ba469546d..e5ac052ab 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/RegressionEvalTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/RegressionEvalTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -39,9 +43,6 @@ import static org.junit.Assert.assertEquals;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
-/**
- * @author Alex Black
- */
 public class RegressionEvalTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidConfigurations.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidConfigurations.java
index 0ea7ff282..88ff4ccb1 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidConfigurations.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidConfigurations.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exceptions;
 
@@ -32,9 +36,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.fail;
 
-/**
- * A set of tests to ensure that useful exceptions are thrown on invalid network configurations
- */
 @Slf4j
 public class TestInvalidConfigurations extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidInput.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidInput.java
index 360d5fac3..495241964 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidInput.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestInvalidInput.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exceptions;
 
@@ -34,9 +38,6 @@ import java.util.Map;
 
 import static org.junit.Assert.*;
 
-/**
- * A set of tests to ensure that useful exceptions are thrown on invalid input
- */
 @Slf4j
 public class TestInvalidInput extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java
index 1b1c98f2d..e647b794b 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exceptions;
 
@@ -36,9 +40,6 @@ import java.util.Collection;
 import static junit.framework.TestCase.fail;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 14/11/2016.
- */
 public class TestRecordReaders extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/AttentionLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/AttentionLayerTest.java
index 709d88901..366c2cd42 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/AttentionLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/AttentionLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java
index 081abd45d..2106ea4be 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java
index 43fe7cf19..6151c4099 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -60,7 +64,7 @@ public class CNN1DGradientCheckTest extends BaseDL4JTest {
 
     @Override
     public long getTimeoutMilliseconds() {
-        return 90000L;
+        return 180000;
     }
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java
index 30cc783da..b3649f97f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java
index 7bcf892c3..c0f333690 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -50,9 +54,6 @@ import static org.deeplearning4j.nn.conf.ConvolutionMode.Same;
 import static org.deeplearning4j.nn.conf.ConvolutionMode.Truncate;
 import static org.junit.Assert.*;
 
-/**
- * Created by nyghtowl on 9/1/15.
- */
 @RunWith(Parameterized.class)
 public class CNNGradientCheckTest extends BaseDL4JTest {
     private static final boolean PRINT_RESULTS = true;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java
index e604c594d..44bea20a5 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/DropoutGradientCheck.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/DropoutGradientCheck.java
index c4f9d2843..ec36fdd82 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/DropoutGradientCheck.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/DropoutGradientCheck.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -42,9 +46,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author Alex Black
- */
 @Slf4j
 public class DropoutGradientCheck extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GlobalPoolingGradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GlobalPoolingGradientCheckTests.java
index b78ce8cb0..34315df6d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GlobalPoolingGradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GlobalPoolingGradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -39,9 +43,6 @@ import java.util.Random;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 17/01/2017.
- */
 public class GlobalPoolingGradientCheckTests extends BaseDL4JTest {
 
     static {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java
index 2c6f8843e..b5cad31fa 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -53,9 +57,6 @@ import java.util.Random;
 import static org.deeplearning4j.gradientcheck.GradientCheckUtil.checkGradients;
 import static org.junit.Assert.*;
 
-/**
- * @author Alex Black 14 Aug 2015
- */
 @Slf4j
 public class GradientCheckTests extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java
index ece6a54ce..6f791c3d2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsMasking.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsMasking.java
index 2a172ee90..06b0ca1fd 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsMasking.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsMasking.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -47,8 +51,6 @@ import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**Gradient checking tests with masking (i.e., variable length time series inputs, one-to-many and many-to-one etc)
- */
 public class GradientCheckTestsMasking extends BaseDL4JTest {
 
     private static final boolean PRINT_RESULTS = true;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LRNGradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LRNGradientCheckTests.java
index 5a6e003f2..c128dcfdf 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LRNGradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LRNGradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -38,9 +42,6 @@ import java.util.Random;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 08/09/2016.
- */
 public class LRNGradientCheckTests extends BaseDL4JTest {
 
     private static final boolean PRINT_RESULTS = true;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LSTMGradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LSTMGradientCheckTests.java
index 2f0822b80..2b3391828 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LSTMGradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LSTMGradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -39,9 +43,6 @@ import java.util.Random;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author Alex Black 14 Aug 2015
- */
 public class LSTMGradientCheckTests extends BaseDL4JTest {
 
     private static final boolean PRINT_RESULTS = true;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LossFunctionGradientCheck.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LossFunctionGradientCheck.java
index 88ea98ca2..efaef6db3 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LossFunctionGradientCheck.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/LossFunctionGradientCheck.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -57,9 +61,6 @@ import static org.junit.Assert.assertTrue;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 
-/**
- * Created by Alex on 12/09/2016.
- */
 @Slf4j
 public class LossFunctionGradientCheck extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/NoBiasGradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/NoBiasGradientCheckTests.java
index cc4e74104..dee6ad81b 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/NoBiasGradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/NoBiasGradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/OutputLayerGradientChecks.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/OutputLayerGradientChecks.java
index 24745fd0a..3c86a4910 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/OutputLayerGradientChecks.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/OutputLayerGradientChecks.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/RnnGradientChecks.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/RnnGradientChecks.java
index e356cce1d..bf4fed712 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/RnnGradientChecks.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/RnnGradientChecks.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/UtilLayerGradientChecks.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/UtilLayerGradientChecks.java
index b8412a8d2..e9770cedf 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/UtilLayerGradientChecks.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/UtilLayerGradientChecks.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/VaeGradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/VaeGradientCheckTests.java
index 3d4a6180c..4730de189 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/VaeGradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/VaeGradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -41,9 +45,6 @@ import java.util.Arrays;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author Alex Black
- */
 public class VaeGradientCheckTests extends BaseDL4JTest {
 
     private static final boolean PRINT_RESULTS = false;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/YoloGradientCheckTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/YoloGradientCheckTests.java
index 76b6f36a1..0926c0c16 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/YoloGradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/YoloGradientCheckTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -53,9 +57,6 @@ import java.io.InputStream;
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author Alex Black
- */
 @RunWith(Parameterized.class)
 public class YoloGradientCheckTests extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMAE.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMAE.java
index dbef14bf2..a0972f66c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMAE.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMAE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.gradientcheck.sdlosscustom;
 
 import lombok.EqualsAndHashCode;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMSE.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMSE.java
index 6edce7a49..3fe2be537 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMSE.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/sdlosscustom/SDLossMSE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.gradientcheck.sdlosscustom;
 
 import lombok.EqualsAndHashCode;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/ArgmaxAdapterTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/ArgmaxAdapterTest.java
index 8c7f20cd2..ebc54c46a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/ArgmaxAdapterTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/ArgmaxAdapterTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.adapters;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/Regression2dAdapterTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/Regression2dAdapterTest.java
index 52dfa98b0..8b75a5c35 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/Regression2dAdapterTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/adapters/Regression2dAdapterTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.adapters;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/ComputationGraphConfigurationTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/ComputationGraphConfigurationTest.java
index b6adf538c..da200404c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/ComputationGraphConfigurationTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/ComputationGraphConfigurationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/JsonTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/JsonTest.java
index 0277f04cb..a57b566e3 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/JsonTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/JsonTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.lossfunctions.impl.*;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 26/06/2017.
- */
 public class JsonTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiLayerNeuralNetConfigurationTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiLayerNeuralNetConfigurationTest.java
index 9e187c9db..e80c422bf 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiLayerNeuralNetConfigurationTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiLayerNeuralNetConfigurationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
@@ -44,9 +48,6 @@ import java.util.Properties;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by agibsonccc on 11/27/14.
- */
 @Slf4j
 public class MultiLayerNeuralNetConfigurationTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java
index d55ad10c3..20559e659 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/NeuralNetConfigurationTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/NeuralNetConfigurationTest.java
index 0857ffded..457645485 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/NeuralNetConfigurationTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/NeuralNetConfigurationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
@@ -49,9 +53,6 @@ import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotSame;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 11/27/14.
- */
 public class NeuralNetConfigurationTest extends BaseDL4JTest {
 
     final DataSet trainingSet = createData();
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/constraints/TestConstraints.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/constraints/TestConstraints.java
index 0db6a1357..9a2e0cd61 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/constraints/TestConstraints.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/constraints/TestConstraints.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.constraints;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/dropout/TestDropout.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/dropout/TestDropout.java
index 574cb0d39..981df8ee6 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/dropout/TestDropout.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/dropout/TestDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java
index 547b29049..6e0777375 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -44,10 +48,6 @@ import java.util.Map;
 
 import static org.junit.Assert.assertArrayEquals;
 
-/**
- * Created by binesh on 6/14/2017.
- */
-
 public class ElementWiseVertexTest extends BaseDL4JTest {
     @Test
     public void testElementWiseVertexNumParams() {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ShiftVertexTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ShiftVertexTest.java
index 62c6eebc6..0c9f7f236 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ShiftVertexTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ShiftVertexTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -42,10 +46,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Map;
 import java.util.TreeMap;
 
-/**
- * Created by binesh on 6/13/2017. 
- */
-
 public class ShiftVertexTest extends BaseDL4JTest {
     @Test
     public void testShiftVertexNumParamsTrue() {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerBuilderTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerBuilderTest.java
index 12f5a8e0d..be3475631 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerBuilderTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerBuilderTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigTest.java
index 3701e7dbb..d9316e37a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigValidationTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigValidationTest.java
index b57388d53..5ff503c3a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigValidationTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/layers/LayerConfigValidationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/misc/TestGraphVertex.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/misc/TestGraphVertex.java
index a69ccd33e..adefbef33 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/misc/TestGraphVertex.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/misc/TestGraphVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.misc;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CNNProcessorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CNNProcessorTest.java
index fa5783c64..db53d7cf0 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CNNProcessorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CNNProcessorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java
index 8e726b869..dcd4a2e50 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -35,9 +39,6 @@ import java.util.Collection;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 09/09/2016.
- */
 public class CustomPreprocessorTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/TestPreProcessors.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/TestPreProcessors.java
index 510505e63..dd6967371 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/TestPreProcessors.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/TestPreProcessors.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/custom/MyCustomPreprocessor.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/custom/MyCustomPreprocessor.java
index 77061e398..c5554e4f1 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/custom/MyCustomPreprocessor.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/custom/MyCustomPreprocessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor.custom;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Created by Alex on 09/09/2016.
- */
 @EqualsAndHashCode
 public class MyCustomPreprocessor implements InputPreProcessor {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/weightnoise/TestWeightNoise.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/weightnoise/TestWeightNoise.java
index 0ebc598bc..525f736f8 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/weightnoise/TestWeightNoise.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/weightnoise/TestWeightNoise.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.weightnoise;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java
index da4754e0b..7dbede856 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.dtypes;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/ComputationGraphTestRNN.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/ComputationGraphTestRNN.java
index 99fe6d5b7..f412ea68f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/ComputationGraphTestRNN.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/ComputationGraphTestRNN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphCNN.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphCNN.java
index 2610b92b7..30bebcf91 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphCNN.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphCNN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
@@ -43,9 +47,6 @@ import java.util.List;
 import static org.junit.Assert.*;
 
 
-/**
- * Created by nyghtowl on 1/15/16.
- */
 //@Ignore
 public class TestCompGraphCNN extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java
index e19a632bd..dcdd56f05 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestComputationGraphNetwork.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestComputationGraphNetwork.java
index f3b7f0cdf..03206a6cd 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestComputationGraphNetwork.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestComputationGraphNetwork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestSetGetParameters.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestSetGetParameters.java
index 0e8e7ca09..563b1f051 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestSetGetParameters.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestSetGetParameters.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestVariableLengthTSCG.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestVariableLengthTSCG.java
index da67f1582..e6b7fd1dc 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestVariableLengthTSCG.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestVariableLengthTSCG.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/graphnodes/TestGraphNodes.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/graphnodes/TestGraphNodes.java
index 3e4a0e5ed..3e83bbe4e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/graphnodes/TestGraphNodes.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/graphnodes/TestGraphNodes.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.graphnodes;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ActivationLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ActivationLayerTest.java
index 347b4ef81..c1e22efed 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ActivationLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ActivationLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/AutoEncoderTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/AutoEncoderTest.java
index 4c08f49ed..0d0f22e46 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/AutoEncoderTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/AutoEncoderTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/BaseLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/BaseLayerTest.java
index d9c8070e7..ea032ecce 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/BaseLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/BaseLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -37,9 +41,6 @@ import java.util.Map;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotEquals;
 
-/**
- * Created by nyghtowl on 11/15/15.
- */
 public class BaseLayerTest extends BaseDL4JTest {
 
     protected INDArray weight = Nd4j.create(new double[] {0.10, -0.20, -0.15, 0.05}, new int[] {2, 2});
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CacheModeTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CacheModeTest.java
index f9ddc372d..f20accbe5 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CacheModeTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CacheModeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CenterLossOutputLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CenterLossOutputLayerTest.java
index 8e04bdfc7..a7c304a83 100755
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CenterLossOutputLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/CenterLossOutputLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -45,11 +49,6 @@ import java.util.Random;
 
 import static org.junit.Assert.assertNotEquals;
 
-/**
- * Test CenterLossOutputLayer.
- *
- * @author Justin Long (@crockpotveggies)
- */
 public class CenterLossOutputLayerTest extends BaseDL4JTest {
 
     private ComputationGraph getGraph(int numLabels, double lambda) {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/DropoutLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/DropoutLayerTest.java
index 23c4421e5..b22f4c869 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/DropoutLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/DropoutLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerTest.java
index 65d204964..9849810b4 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -39,9 +43,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by susaneraly on 2/5/17.
- */
 @Slf4j
 public class FrozenLayerTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java
index 200f55071..40d0aed93 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -44,10 +48,6 @@ import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotEquals;
 import static org.junit.Assert.assertNotNull;
 
-/**
- * Created by Ugljesa Jovanovic (jovanovic.ugljesa@gmail.com) on 06/05/2018.
- * Reused instantiation tests from {@link FrozenLayerTest}
- */
 @Slf4j
 public class FrozenLayerWithBackpropTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/OutputLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/OutputLayerTest.java
index 2d746a137..03e48b169 100755
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/OutputLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/OutputLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -48,9 +52,6 @@ import java.util.Random;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by agibsonccc on 9/1/14.
- */
 @Slf4j
 public class OutputLayerTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/RepeatVectorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/RepeatVectorTest.java
index c6b4173ba..5f4696b89 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/RepeatVectorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/RepeatVectorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/SeedTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/SeedTest.java
index d56f167e5..88afce166 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/SeedTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/SeedTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java
index ad7bdc9a0..86f3b7cb7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsNetMNISTTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsNetMNISTTest.java
index 7eb69566b..83597dba3 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsNetMNISTTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsNetMNISTTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.capsule;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleLayerTest.java
index 6f69b3da4..f5502170f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.capsule;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleStrengthLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleStrengthLayerTest.java
index 0f77b431b..739d32fdb 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleStrengthLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/CapsuleStrengthLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.capsule;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/PrimaryCapsulesTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/PrimaryCapsulesTest.java
index 07b5c4009..8c5262358 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/PrimaryCapsulesTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/capsule/PrimaryCapsulesTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.capsule;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvDataFormatTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvDataFormatTests.java
index 0f166c32b..a25344a70 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvDataFormatTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvDataFormatTests.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.layers.convolution;
 
 import lombok.*;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java
index e9467e83a..4615c95a2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerSetupTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerSetupTest.java
index 1d354ef51..d49028f43 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerSetupTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerSetupTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerTest.java
index 192e5c39c..5b93f9fb1 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/ConvolutionLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java
index 458d12b21..37644c322 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepthTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepthTest.java
index d0e937dbe..296cb66d6 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepthTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepthTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SubsamplingLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SubsamplingLayerTest.java
index 58acf8767..cde5b25cc 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SubsamplingLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/SubsamplingLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/TestConvolutionModes.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/TestConvolutionModes.java
index 0f5b5d6d1..d5b20a072 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/TestConvolutionModes.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/TestConvolutionModes.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -43,9 +47,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 15/11/2016.
- */
 @Slf4j
 public class TestConvolutionModes extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling1DTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling1DTest.java
index 0675285c2..2e307b1db 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling1DTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling2DTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling2DTest.java
index e797b8cdc..cc3d38c42 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling2DTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Upsampling2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java
index 69b15951e..0e777ea1e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom;
 
@@ -36,9 +40,6 @@ import java.util.Collection;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 19/12/2016.
- */
 public class TestCustomActivation extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java
index 5ead0e4b1..cd73c0850 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom;
 
@@ -46,9 +50,6 @@ import java.util.Set;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 26/08/2016.
- */
 public class TestCustomLayers extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomActivation.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomActivation.java
index 01d94e6dc..e73a6fea6 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomActivation.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomActivation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom.testclasses;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Created by Alex on 19/12/2016.
- */
 @EqualsAndHashCode
 public class CustomActivation extends BaseActivationFunction implements IActivation {
     @Override
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayer.java
index 333995706..cd75501ae 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom.testclasses;
 
@@ -33,9 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Created by Alex on 26/08/2016.
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class CustomLayer extends FeedForwardLayer {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayerImpl.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayerImpl.java
index ffca8a5dc..e0f582a52 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayerImpl.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomLayerImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom.testclasses;
 
@@ -20,12 +24,6 @@ import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.layers.BaseLayer;
 import org.nd4j.linalg.api.buffer.DataType;
 
-/**
- *
- * Basically: identical to DenseLayer
- *
- * Created by Alex on 26/08/2016.
- */
 public class CustomLayerImpl extends BaseLayer {
     public CustomLayerImpl(NeuralNetConfiguration conf, DataType dataType) {
         super(conf, dataType);
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayer.java
index ff79adf0a..64fb0416d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom.testclasses;
 
@@ -35,12 +39,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * A custom output layer for testing. Functionally equivalent to {@link OutputLayer}, but defined here to test JSON
- * etc.
- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayerImpl.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayerImpl.java
index 281eba7d8..349adba9d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayerImpl.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/testclasses/CustomOutputLayerImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.custom.testclasses;
 
@@ -23,9 +27,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Created by Alex on 28/08/2016.
- */
 public class CustomOutputLayerImpl extends BaseOutputLayer {
     public CustomOutputLayerImpl(NeuralNetConfiguration conf, DataType dataType) {
         super(conf, dataType);
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseTest.java
index 1e9b7533a..ec9ed319a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.dense;
 
@@ -37,9 +41,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by nyghtowl on 8/31/15.
- */
 public class DenseTest extends BaseDL4JTest {
 
     private int numSamples = 150;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java
index 1789a2810..8dfae43ca 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.embedding;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationTest.java
index e2c38bfad..9896f05d4 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.normalization;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/LocalResponseTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/LocalResponseTest.java
index b4daf9161..41e0da315 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/LocalResponseTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/normalization/LocalResponseTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.normalization;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/objdetect/TestYolo2OutputLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/objdetect/TestYolo2OutputLayer.java
index 699d6bf55..72efd60b7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/objdetect/TestYolo2OutputLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/objdetect/TestYolo2OutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.objdetect;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java
index bf158a863..4033112ae 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.ocnn;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingMaskingTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingMaskingTests.java
index aebf23673..6733bdaab 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingMaskingTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingMaskingTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.pooling;
 
@@ -41,9 +45,6 @@ import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertEquals;
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**
- * Created by Alex on 18/01/2017.
- */
 public class GlobalPoolingMaskingTests extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalTest.java
index 2fef54844..aa16f53ff 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTMTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTMTest.java
index b879056c5..e61623f99 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTMTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTMTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTMTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTMTest.java
index f9e17cc50..63f343c3c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTMTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTMTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayerTest.java
index 7ddc31220..cf273a450 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/RnnDataFormatTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/RnnDataFormatTests.java
index 93566050f..e420ece1d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/RnnDataFormatTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/RnnDataFormatTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestLastTimeStepLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestLastTimeStepLayer.java
index 9f60d674d..614bf1d65 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestLastTimeStepLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestLastTimeStepLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRecurrentWeightInit.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRecurrentWeightInit.java
index 4c1e5374e..39b73b11e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRecurrentWeightInit.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRecurrentWeightInit.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRnnLayers.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRnnLayers.java
index b2b789d58..cf425991b 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRnnLayers.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestRnnLayers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java
index 639d3fafd..c609d54be 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestTimeDistributed.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestTimeDistributed.java
index 0d38d699c..c1b157ff9 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestTimeDistributed.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestTimeDistributed.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.layers.recurrent;
 
 import org.deeplearning4j.BaseDL4JTest;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/SameDiffCustomLayerTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/SameDiffCustomLayerTests.java
index 243909bd9..e15525a98 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/SameDiffCustomLayerTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/SameDiffCustomLayerTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java
index 317dca24d..dd109a6fa 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDense.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDense.java
index cdea20f70..c7e9cc046 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDense.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDense.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDenseVertex.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDenseVertex.java
index 4e923bf4a..8c38177db 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDenseVertex.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffDenseVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffLambda.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffLambda.java
index 8368d3869..6c5a79547 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffLambda.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffLambda.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffOutput.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffOutput.java
index 53e6d0ed2..69b01369c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffOutput.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffOutput.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/MinimalSameDiffDense.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/MinimalSameDiffDense.java
index 9cbbccaa7..72368a725 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/MinimalSameDiffDense.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/MinimalSameDiffDense.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffConv.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffConv.java
index 7b78c14fc..602f60a58 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffConv.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffConv.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDense.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDense.java
index 630b6059c..bf3745856 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDense.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDense.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDenseVertex.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDenseVertex.java
index 481816472..1f1c632e9 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDenseVertex.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffDenseVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSELossLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSELossLayer.java
index 9ada8a1dc..6c6cd2fa0 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSELossLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSELossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSEOutputLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSEOutputLayer.java
index cfead640f..2e60b8461 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSEOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffMSEOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaLayer.java
index c5f6263f9..492774757 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java
index d9513cf80..4eb0956d8 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestReconstructionDistributions.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestReconstructionDistributions.java
index aa7527841..9491f9ee7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestReconstructionDistributions.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestReconstructionDistributions.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.variational;
 
@@ -39,9 +43,6 @@ import java.util.Random;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 25/11/2016.
- */
 @Slf4j
 public class TestReconstructionDistributions extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestVAE.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestVAE.java
index bc28c1f38..e4fa96753 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestVAE.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/variational/TestVAE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.variational;
 
@@ -47,9 +51,6 @@ import java.util.Map;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 26/11/2016.
- */
 public class TestVAE extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/CloseNetworkTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/CloseNetworkTests.java
index 882ec8479..b4de50f49 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/CloseNetworkTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/CloseNetworkTests.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.misc;
 
 import org.deeplearning4j.BaseDL4JTest;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java
index e728e0beb..a0d294f7d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.misc;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java
index 8bf7952ca..744a89e98 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.misc;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestMemoryReports.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestMemoryReports.java
index 3027ad6c1..8a2593dd2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestMemoryReports.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestMemoryReports.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.misc;
 
@@ -47,9 +51,6 @@ import java.util.List;
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 14/07/2017.
- */
 public class TestMemoryReports extends BaseDL4JTest {
 
     public static List> getTestLayers() {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestNetConversion.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestNetConversion.java
index 8a07a6d1f..02e857d99 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestNetConversion.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestNetConversion.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.misc;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/WorkspaceTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/WorkspaceTests.java
index 4282c5e62..14dc2faf2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/WorkspaceTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/WorkspaceTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.misc;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/iter/WSTestDataSetIterator.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/iter/WSTestDataSetIterator.java
index cd2759f9e..bc022fe28 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/iter/WSTestDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/iter/WSTestDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.misc.iter;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/mkldnn/ValidateMKLDNN.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/mkldnn/ValidateMKLDNN.java
index bb06a0e01..2c9ece0fd 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/mkldnn/ValidateMKLDNN.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/mkldnn/ValidateMKLDNN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.mkldnn;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java
index e8236bf01..a03a19ea7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTest.java
index 3139b096a..8a9a7a787 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
@@ -79,9 +83,6 @@ import java.util.*;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by agibsonccc on 12/27/14.
- */
 @Slf4j
 public class MultiLayerTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTestRNN.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTestRNN.java
index 7e6cf2cfe..f90ad98b4 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTestRNN.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/MultiLayerTestRNN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestMasking.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestMasking.java
index 146c55b03..dd0dd103d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestMasking.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestMasking.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
@@ -52,9 +56,6 @@ import java.util.Collections;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 20/01/2017.
- */
 public class TestMasking extends BaseDL4JTest {
 
     static {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestSetGetParameters.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestSetGetParameters.java
index 2d4583a7b..c37600b86 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestSetGetParameters.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestSetGetParameters.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java
index edc7b850b..02285588a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/rl/TestMultiModelGradientApplication.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/rl/TestMultiModelGradientApplication.java
index 1b9f25a05..a75d806f0 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/rl/TestMultiModelGradientApplication.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/rl/TestMultiModelGradientApplication.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.rl;
 
@@ -40,12 +44,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotEquals;
 
-/**
- * Testing calculating a Gradient object in one model, and updating/applying it on another.
- * This is used for example in RL4J
- *
- * @author Alex Black
- */
 public class TestMultiModelGradientApplication extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestFrozenLayers.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestFrozenLayers.java
index b9a15ccb2..938792924 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestFrozenLayers.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestFrozenLayers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningJson.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningJson.java
index e3c0363c5..6c5e1ae93 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningJson.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningJson.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.learning.config.AdaGrad;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 27/03/2017.
- */
 public class TestTransferLearningJson extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningModelSerializer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningModelSerializer.java
index aa552a859..795d2950c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningModelSerializer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TestTransferLearningModelSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -39,9 +43,6 @@ import java.util.Map;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 10/07/2017.
- */
 public class TestTransferLearningModelSerializer extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningCompGraphTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningCompGraphTest.java
index 93341dbe2..0503214d5 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningCompGraphTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningCompGraphTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -51,9 +55,6 @@ import java.util.Map;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by susaneraly on 2/17/17.
- */
 public class TransferLearningCompGraphTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningComplex.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningComplex.java
index f0fadc968..3b6e319c3 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningComplex.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningComplex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -40,9 +44,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by susaneraly on 2/20/17.
- */
 @Slf4j
 public class TransferLearningComplex extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelperTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelperTest.java
index 75b30ffd7..8305879e5 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelperTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelperTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -40,9 +44,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by susaneraly on 2/24/17.
- */
 @Slf4j
 public class TransferLearningHelperTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningMLNTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningMLNTest.java
index c0d65af26..64478feb4 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningMLNTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/transferlearning/TransferLearningMLNTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -53,9 +57,6 @@ import java.util.Map;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by susaneraly on 2/15/17.
- */
 @Slf4j
 public class TransferLearningMLNTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestGradientNormalization.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestGradientNormalization.java
index 1cde13166..083d32eff 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestGradientNormalization.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestGradientNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestUpdaters.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestUpdaters.java
index ccf698481..9b4ae74ce 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestUpdaters.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/TestUpdaters.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomGradientUpdater.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomGradientUpdater.java
index 384bca0a5..61e2ac72e 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomGradientUpdater.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomGradientUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater.custom;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.learning.GradientUpdater;
 
 import java.util.Map;
 
-/**
- * Created by Alex on 09/05/2017.
- */
 @AllArgsConstructor
 public class CustomGradientUpdater implements GradientUpdater {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomIUpdater.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomIUpdater.java
index c6e3f1585..bd58b44e7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomIUpdater.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/CustomIUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater.custom;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 
 import java.util.Map;
 
-/**
- * Created by Alex on 09/05/2017.
- */
 @AllArgsConstructor
 @Data
 public class CustomIUpdater implements IUpdater {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/TestCustomUpdater.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/TestCustomUpdater.java
index c66fb41df..e2d7b46e3 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/TestCustomUpdater.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/updater/custom/TestCustomUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater.custom;
 
@@ -33,9 +37,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 09/05/2017.
- */
 public class TestCustomUpdater extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/util/TestDataSetConsumer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/util/TestDataSetConsumer.java
index 7439c5ad2..cbc94f1f2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/util/TestDataSetConsumer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/util/TestDataSetConsumer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.util;
 
@@ -24,11 +28,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Class that consumes DataSets with specified delays, suitable for testing
- *
- * @author raver119@gmail.com
- */
 public class TestDataSetConsumer {
     private DataSetIterator iterator;
     private long delay;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/LegacyWeightInitTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/LegacyWeightInitTest.java
index 1b1273280..669ca7692 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/LegacyWeightInitTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/LegacyWeightInitTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -35,12 +39,6 @@ import java.util.List;
 import static org.junit.Assert.*;
 
 
-/**
- * Test that {@link WeightInit} is compatible with the corresponding classes which implement {@link IWeightInit}. Mocks
- * Nd4j.randomFactory so that legacy and new implementation can be compared exactly.
- *
- * @author Christian Skarby
- */
 public class LegacyWeightInitTest extends BaseDL4JTest {
 
     private RandomFactory prevFactory;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitIdentityTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitIdentityTest.java
index ba17310f1..be0a1c471 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitIdentityTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitIdentityTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -32,11 +36,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Test cases for {@link WeightInitIdentity}
- *
- * @author Christian Skarby
- */
 public class WeightInitIdentityTest extends BaseDL4JTest {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitUtilTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitUtilTest.java
index d4023322f..ef137bc67 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitUtilTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/weights/WeightInitUtilTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -28,9 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by nyghtowl on 11/14/15.
- */
 public class WeightInitUtilTest extends BaseDL4JTest {
     protected int fanIn = 3;
     protected int fanOut = 2;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/BackTrackLineSearchTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/BackTrackLineSearchTest.java
index e68cf133b..fd333f42c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/BackTrackLineSearchTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/BackTrackLineSearchTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solver;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/TestOptimizers.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/TestOptimizers.java
index f79763bfe..1dea22f32 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/TestOptimizers.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/TestOptimizers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solver;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java
index cc85e4b47..15379a37d 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solver.accumulation;
 
@@ -32,11 +36,6 @@ import org.nd4j.nativeblas.OpaqueDataBuffer;
 import static org.junit.Assert.assertNotNull;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Tests for memory-related stuff in gradients accumulator
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class EncodedGradientsAccumulatorTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/IndexedTailTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/IndexedTailTest.java
index 512b77c35..8e8f81dea 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/IndexedTailTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/IndexedTailTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solver.accumulation;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/SmartFancyBlockingQueueTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/SmartFancyBlockingQueueTest.java
index 5abd5a253..5b9dd8c0a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/SmartFancyBlockingQueueTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/SmartFancyBlockingQueueTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solver.accumulation;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/ThresholdAlgorithmTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/ThresholdAlgorithmTests.java
index 578674ed6..0ccef1c32 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/ThresholdAlgorithmTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/ThresholdAlgorithmTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solver.accumulation;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/ScoreStatTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/ScoreStatTest.java
index a7f59bb8c..d7d2f6cce 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/ScoreStatTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/ScoreStatTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.optimizer.listener;
 
 import org.deeplearning4j.BaseDL4JTest;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestCheckpointListener.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestCheckpointListener.java
index 131930623..a4d3b9b6f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestCheckpointListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestCheckpointListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimizer.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestFailureListener.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestFailureListener.java
index 779d5199d..cf604d365 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestFailureListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestFailureListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimizer.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestListeners.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestListeners.java
index cac30a7e4..6897ea540 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestListeners.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimizer/listener/TestListeners.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimizer.listener;
 
@@ -61,9 +65,6 @@ import java.util.Map;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 01/01/2017.
- */
 @Slf4j
 public class TestListeners extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/AsyncIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/AsyncIteratorTest.java
index b1f8226bb..5bfde3fa2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/AsyncIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/AsyncIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -24,9 +28,6 @@ import java.util.ArrayList;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class AsyncIteratorTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/FancyBlockingQueueTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/FancyBlockingQueueTests.java
index 917336548..91ef1d72f 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/FancyBlockingQueueTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/FancyBlockingQueueTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -27,9 +31,6 @@ import java.util.concurrent.atomic.AtomicLong;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class FancyBlockingQueueTests extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/MultiBooleanTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/MultiBooleanTest.java
index 8e74c3222..9abc3e8a7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/MultiBooleanTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/MultiBooleanTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -23,9 +27,6 @@ import org.junit.Test;
 import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author raver119@gmail.com
- */
 public class MultiBooleanTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/ParallelExistingMiniBatchDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/ParallelExistingMiniBatchDataSetIteratorTest.java
index e96d8e892..918d4aace 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/ParallelExistingMiniBatchDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/ParallelExistingMiniBatchDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -35,9 +39,6 @@ import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotNull;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ParallelExistingMiniBatchDataSetIteratorTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/RandomTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/RandomTests.java
index bb44dea33..e0eea0f27 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/RandomTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/parallelism/RandomTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -39,9 +43,6 @@ import java.util.concurrent.CopyOnWriteArrayList;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class RandomTests extends BaseDL4JTest {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java
index bf87ee70a..94d344c39 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.perf.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestHardWareMetric.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestHardWareMetric.java
index 7e2009b8e..de3d9a63c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestHardWareMetric.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestHardWareMetric.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.perf.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestSystemInfoPrintListener.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestSystemInfoPrintListener.java
index bc2e36e2b..270515bd6 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestSystemInfoPrintListener.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/TestSystemInfoPrintListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.perf.listener;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java
index 502c6a741..563d50963 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.plot;
 
@@ -52,11 +56,6 @@ import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertEquals;
 import static org.nd4j.linalg.factory.Nd4j.zeros;
 
-// import org.nd4j.jita.conf.CudaEnvironment;
-
-/**
- * Created by agibsonccc on 10/1/14.
- */
 @Slf4j
 public class BarnesHutTsneTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/MiscRegressionTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/MiscRegressionTests.java
index c4ecd7891..b4ea0e0cd 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/MiscRegressionTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/MiscRegressionTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java
index a5408f100..0216ce3a2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
@@ -46,14 +50,6 @@ import java.io.File;
 
 import static org.junit.Assert.*;
 
-/**
- *
- * Regression tests for DL4J 0.5.0 - i.e., can we still load basic models generated in 0.5.0?
- * See dl4j-test-resources/src/main/resources/regression_testing/050/050_regression_test_readme.md
- *
- *
- * @author Alex Black
- */
 public class RegressionTest050 extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest060.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest060.java
index 10a15919d..b18933adb 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest060.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest060.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
@@ -49,14 +53,6 @@ import java.io.File;
 
 import static org.junit.Assert.*;
 
-/**
- *
- * Regression tests for DL4J 0.5.0 - i.e., can we still load basic models generated in 0.5.0?
- * See dl4j-test-resources/src/main/resources/regression_testing/050/050_regression_test_readme.md
- *
- *
- * @author Alex Black
- */
 public class RegressionTest060 extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest071.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest071.java
index 3d34b3fd2..b804451c2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest071.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest071.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
@@ -50,14 +54,6 @@ import java.io.File;
 
 import static org.junit.Assert.*;
 
-/**
- *
- * Regression tests for DL4J 0.5.0 - i.e., can we still load basic models generated in 0.5.0?
- * See dl4j-test-resources/src/main/resources/regression_testing/050/050_regression_test_readme.md
- *
- *
- * @author Alex Black
- */
 public class RegressionTest071 extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest080.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest080.java
index f963c2f59..532a8ebc0 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest080.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest080.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
@@ -49,14 +53,6 @@ import java.io.File;
 
 import static org.junit.Assert.*;
 
-/**
- *
- * Regression tests for DL4J 0.5.0 - i.e., can we still load basic models generated in 0.5.0?
- * See dl4j-test-resources/src/main/resources/regression_testing/050/050_regression_test_readme.md
- *
- *
- * @author Alex Black
- */
 public class RegressionTest080 extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100a.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100a.java
index 2119ef464..155ea2371 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100a.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100a.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b3.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b3.java
index 3a1bafd95..0f4072b1a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b3.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b3.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b4.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b4.java
index 0a2898d0a..7a27ed773 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b4.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b4.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.deeplearning4j.regressiontest;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b6.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b6.java
index a87a522c7..0d0880ba3 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b6.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b6.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.deeplearning4j.regressiontest;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/TestDistributionDeserializer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/TestDistributionDeserializer.java
index 9bee792b3..d4e2b015b 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/TestDistributionDeserializer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/TestDistributionDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest;
 
@@ -25,9 +29,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 08/05/2017.
- */
 public class TestDistributionDeserializer extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayer.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayer.java
index 20ccac1fb..00a2b6242 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayer.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest.customlayer100a;
 
@@ -36,11 +40,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Layer configuration class for the custom layer example
- *
- * @author Alex Black
- */
 public class CustomLayer extends FeedForwardLayer {
 
     private IActivation secondActivationFunction;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayerImpl.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayerImpl.java
index a21202c1d..18c0ab8e0 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayerImpl.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/customlayer100a/CustomLayerImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.regressiontest.customlayer100a;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Layer (implementation) class for the custom layer example
- *
- * @author Alex Black
- */
 public class CustomLayerImpl extends BaseLayer { //Generic parameter here: the configuration class type
 
     public CustomLayerImpl(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java
index 9bcb97b7d..b0fbf1225 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/ui/UiConnectionInfoTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/ui/UiConnectionInfoTest.java
index a772c9edc..0e2a71c5c 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/ui/UiConnectionInfoTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/ui/UiConnectionInfoTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -23,9 +27,6 @@ import org.junit.Test;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class UiConnectionInfoTest extends BaseDL4JTest {
 
     @Before
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ArrayUtilTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ArrayUtilTest.java
index 96a0c1bc0..f1f36cfae 100755
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ArrayUtilTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ArrayUtilTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/CrashReportingUtilTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/CrashReportingUtilTest.java
index 5975d1c1e..8c6752e6b 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/CrashReportingUtilTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/CrashReportingUtilTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelGuesserTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelGuesserTest.java
index 7894a6cc6..ede2147a7 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelGuesserTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelGuesserTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -47,9 +51,6 @@ import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 import static org.junit.Assume.assumeNotNull;
 
-/**
- * Created by agibsonccc on 12/29/16.
- */
 public class ModelGuesserTest extends BaseDL4JTest {
 
     @Rule
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelSerializerTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelSerializerTest.java
index a26e37ac5..0c98afcba 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelSerializerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelSerializerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -52,9 +56,6 @@ import java.util.*;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 public class ModelSerializerTest extends BaseDL4JTest {
 
     @Rule
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelValidatorTests.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelValidatorTests.java
index 8caefcf6b..57e3b4407 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelValidatorTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelValidatorTests.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.util;
 
 import org.apache.commons.io.FileUtils;
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/MovingWindowMatrixTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/MovingWindowMatrixTest.java
index 3021555b6..47e05b772 100755
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/MovingWindowMatrixTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/MovingWindowMatrixTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -26,9 +30,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by agibsonccc on 6/11/14.
- */
 public class MovingWindowMatrixTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/SerializationUtilsTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/SerializationUtilsTest.java
index 266ed901f..2bfd6c536 100755
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/SerializationUtilsTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/SerializationUtilsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -29,9 +33,6 @@ import java.io.File;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by mjk on 9/15/14.
- */
 public class SerializationUtilsTest extends BaseDL4JTest {
 
     @Rule
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TestUIDProvider.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TestUIDProvider.java
index 403810aae..5be40b14a 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TestUIDProvider.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TestUIDProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -24,9 +28,6 @@ import static junit.framework.TestCase.assertTrue;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotNull;
 
-/**
- * Created by Alex on 26/06/2016.
- */
 public class TestUIDProvider extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TimeSeriesUtilsTest.java b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TimeSeriesUtilsTest.java
index 5d06c6043..bb652f670 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TimeSeriesUtilsTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/TimeSeriesUtilsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by agibsonccc on 12/29/14.
- */
 public class TimeSeriesUtilsTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-core/src/test/resources/logback-test.xml b/deeplearning4j/deeplearning4j-core/src/test/resources/logback-test.xml
index 77006b2a6..46c82c6a2 100644
--- a/deeplearning4j/deeplearning4j-core/src/test/resources/logback-test.xml
+++ b/deeplearning4j/deeplearning4j-core/src/test/resources/logback-test.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-cuda/pom.xml b/deeplearning4j/deeplearning4j-cuda/pom.xml
index 83bbdf970..e0b0b04fc 100644
--- a/deeplearning4j/deeplearning4j-cuda/pom.xml
+++ b/deeplearning4j/deeplearning4j-cuda/pom.xml
@@ -1,29 +1,40 @@
-
+
+
+
+
 
-
     4.0.0
-    deeplearning4j-cuda-11.0
-    deeplearning4j-cuda
+
     
         org.deeplearning4j
         deeplearning4j-parent
         1.0.0-SNAPSHOT
     
 
+    deeplearning4j-cuda-11.0
+
+    deeplearning4j-cuda
+
     
         
         11.0
@@ -31,37 +42,25 @@
         1.5.4
     
 
-    
-        
-            
-                org.nd4j
-                nd4j-api
-                ${nd4j.version}
-            
-        
-    
-
     
         
             org.nd4j
             nd4j-cuda-${cuda.version}
             ${nd4j.version}
         
-
         
             org.slf4j
             slf4j-api
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             org.nd4j
             nd4j-api
+            ${nd4j.version}
         
         
             org.deeplearning4j
@@ -81,7 +80,6 @@
         
             junit
             junit
-            test
         
         
             org.deeplearning4j
@@ -92,9 +90,9 @@
     
 
     
-
+        
     
 
     
@@ -115,5 +113,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/BaseCudnnHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/BaseCudnnHelper.java
index faea99273..f7ac730b4 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/BaseCudnnHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/BaseCudnnHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/CudnnConvolutionHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/CudnnConvolutionHelper.java
index 91e3c4829..7aa9a62fe 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/CudnnConvolutionHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/CudnnConvolutionHelper.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/subsampling/CudnnSubsamplingHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/subsampling/CudnnSubsamplingHelper.java
index c733022a7..b92810959 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/subsampling/CudnnSubsamplingHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/convolution/subsampling/CudnnSubsamplingHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.convolution.subsampling;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/dropout/CudnnDropoutHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/dropout/CudnnDropoutHelper.java
index 05bf4ca44..9b3414d95 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/dropout/CudnnDropoutHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/dropout/CudnnDropoutHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.dropout;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnBatchNormalizationHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnBatchNormalizationHelper.java
index 6c5664930..fea813aa0 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnBatchNormalizationHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnBatchNormalizationHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.normalization;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnLocalResponseNormalizationHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnLocalResponseNormalizationHelper.java
index fcc924928..e0257a3ec 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnLocalResponseNormalizationHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/normalization/CudnnLocalResponseNormalizationHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.normalization;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/recurrent/CudnnLSTMHelper.java b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/recurrent/CudnnLSTMHelper.java
index 88e5a0d0c..120078d07 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/recurrent/CudnnLSTMHelper.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/main/java/org/deeplearning4j/cuda/recurrent/CudnnLSTMHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/CuDNNTestUtils.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/CuDNNTestUtils.java
index a8d64b7b3..473449dbb 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/CuDNNTestUtils.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/CuDNNTestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestDataTypes.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestDataTypes.java
index 851b75413..b0a60a76c 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestDataTypes.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestDataTypes.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestUtils.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestUtils.java
index 0ac35996d..6954f57c1 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestUtils.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/TestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/ValidateCuDNN.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/ValidateCuDNN.java
index b2093868b..dd2b341e7 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/ValidateCuDNN.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/ValidateCuDNN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/ConvDataFormatTests.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/ConvDataFormatTests.java
index fd46c1a8b..412f1b7ca 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/ConvDataFormatTests.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/ConvDataFormatTests.java
@@ -1,18 +1,23 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.cuda.convolution;
 
 import lombok.*;
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/TestConvolution.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/TestConvolution.java
index 7af68ec94..c5c12c5b8 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/TestConvolution.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/convolution/TestConvolution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CNNGradientCheckTest.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CNNGradientCheckTest.java
index 41b69f2a2..cb8311be6 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CNNGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CNNGradientCheckTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CuDNNGradientChecks.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CuDNNGradientChecks.java
index 7a06fb627..3ed85ad14 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CuDNNGradientChecks.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/gradientcheck/CuDNNGradientChecks.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.gradientcheck;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnDropout.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnDropout.java
index b59bd64d6..30aa80f0a 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnDropout.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.lstm;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnLSTM.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnLSTM.java
index 636071a28..07af247f1 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnLSTM.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/lstm/ValidateCudnnLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.lstm;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/util/CuDNNValidationUtil.java b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/util/CuDNNValidationUtil.java
index 775c1fe9e..184b03cb2 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/util/CuDNNValidationUtil.java
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/java/org/deeplearning4j/cuda/util/CuDNNValidationUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.cuda.util;
 
diff --git a/deeplearning4j/deeplearning4j-cuda/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-cuda/src/test/resources/logback.xml
index 69246755b..6be67561e 100644
--- a/deeplearning4j/deeplearning4j-cuda/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-cuda/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/pom.xml b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/pom.xml
index 5a48cfc2d..791cd923a 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/pom.xml
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/pom.xml
@@ -1,27 +1,35 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-data
         org.deeplearning4j
+        deeplearning4j-data
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-datasets
     jar
@@ -54,5 +62,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/EmnistFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/EmnistFetcher.java
index 1930c312c..62afa7bc6 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/EmnistFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/EmnistFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.base;
 
@@ -20,11 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.deeplearning4j.common.resources.DL4JResources;
 import org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator;
 
-/**
- * Downloader for EMNIST dataset
- *
- * @author Alex Black
- */
 @Slf4j
 public class EmnistFetcher extends MnistFetcher {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/IrisUtils.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/IrisUtils.java
index 19412067f..74c2208f0 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/IrisUtils.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/IrisUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.base;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/MnistFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/MnistFetcher.java
index cd8c4ae01..0945f6593 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/MnistFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/base/MnistFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.base;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableDataSet.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableDataSet.java
index b9182d57a..54cc84a9d 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableDataSet.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableDataSet.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
 import org.datavec.api.records.reader.RecordReader;
 import org.datavec.image.transform.ImageTransform;
 
-/**
- * Interface for defining a model that can be instantiated and return
- * information about itself.
- *
- * @author Justin Long (crockpotveggies)
- */
 interface CacheableDataSet {
 
     String remoteDataUrl();
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableExtractableDataSetFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableExtractableDataSetFetcher.java
index 889005894..68fb73a64 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableExtractableDataSetFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/CacheableExtractableDataSetFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -28,11 +32,6 @@ import java.net.URL;
 import java.util.zip.Adler32;
 import java.util.zip.Checksum;
 
-/**
- * Abstract class for enabling dataset downloading and local caching.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public abstract class CacheableExtractableDataSetFetcher implements CacheableDataSet {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/Cifar10Fetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/Cifar10Fetcher.java
index e723cab1d..bf28ce45a 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/Cifar10Fetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/Cifar10Fetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -30,14 +34,6 @@ import org.nd4j.common.base.Preconditions;
 import java.io.File;
 import java.util.Random;
 
-/**
- * CifarDataSetIterator is an iterator for CIFAR-10 dataset - 10 classes, with 32x32 images with 3 channels (RGB)
- *
- * This fetcher uses a cached version of the CIFAR dataset which is converted to PNG images,
- * see: https://pjreddie.com/projects/cifar-10-dataset-mirror/.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class Cifar10Fetcher extends CacheableExtractableDataSetFetcher {
     public static final String LABELS_FILENAME = "labels.txt";
     public static final String LOCAL_CACHE_NAME = "cifar10";
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/DataSetType.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/DataSetType.java
index d8b36a23a..20d49504c 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/DataSetType.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/DataSetType.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
-/**
- * Specify whether train, test, or validation.
- *
- * @author Justin Long (crockpotveggies)
- */
 public enum DataSetType {
     TRAIN, TEST, VALIDATION
 }
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/EmnistDataFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/EmnistDataFetcher.java
index cec1e8ad5..70d974e99 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/EmnistDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/EmnistDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -31,12 +35,6 @@ import java.io.IOException;
 import java.util.Random;
 
 
-/**
- * Data fetcher for the EMNIST dataset
- *
- * @author Alex Black
- *
- */
 @Slf4j
 public class EmnistDataFetcher extends MnistDataFetcher implements DataSetFetcher {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/IrisDataFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/IrisDataFetcher.java
index 120858433..dc0b8c882 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/IrisDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/IrisDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/MnistDataFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/MnistDataFetcher.java
index b9ad2fe04..be1dd952e 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/MnistDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/MnistDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -38,11 +42,6 @@ import java.util.zip.Adler32;
 import java.util.zip.Checksum;
 
 
-/**
- * Data fetcher for the MNIST dataset
- * @author Adam Gibson
- *
- */
 public class MnistDataFetcher extends BaseDataFetcher {
     public static final int NUM_EXAMPLES = 60000;
     public static final int NUM_EXAMPLES_TEST = 10000;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcher.java
index 79b4427d8..03ae949aa 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -26,18 +30,6 @@ import java.io.File;
 import java.io.IOException;
 import java.util.Random;
 
-/**
- * The Street View House Numbers (SVHN) Dataset is a real-world image dataset for developing machine learning
- * and object recognition algorithms with minimal requirement on data preprocessing and formatting.
- *
- * The SVHN datasets contain 10 classes (digits) with 73257 digits for training, 26032 digits for testing, and 531131 extra.
- *
- * Datasets in "Format 1: Full Numbers" are fetched.
- *
- * See: http://ufldl.stanford.edu/housenumbers/
- *
- * @author saudet
- */
 public class SvhnDataFetcher extends CacheableExtractableDataSetFetcher {
 
     private static String BASE_URL = "http://ufldl.stanford.edu/";
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/TinyImageNetFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/TinyImageNetFetcher.java
index 04bd63c98..68dcd4185 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/TinyImageNetFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/TinyImageNetFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -30,17 +34,6 @@ import org.nd4j.common.base.Preconditions;
 import java.io.File;
 import java.util.Random;
 
-/**
- * Tiny ImageNet is a subset of the ImageNet database. TinyImageNet is the default course challenge for CS321n
- * at Stanford University.
- *
- * Tiny ImageNet has 200 classes, each consisting of 500 training images.
- *
- * See: http://cs231n.stanford.edu/ and
- * https://tiny-imagenet.herokuapp.com/
- *
- * @author Justin Long (crockpotveggies)
- */
 public class TinyImageNetFetcher extends CacheableExtractableDataSetFetcher {
     public static final String WORDS_FILENAME = "words.txt";
     public static final String LOCAL_CACHE_NAME = "TINYIMAGENET_200";
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java
index ad537cf63..b496490b8 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.fetchers;
 
@@ -32,15 +36,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.Random;
 
-/**
- * Fetcher for UCI synthetic control chart time series dataset.
- *

- * Details:     https://archive.ics.uci.edu/ml/datasets/Synthetic+Control+Chart+Time+Series

- * Data:        https://archive.ics.uci.edu/ml/machine-learning-databases/synthetic_control-mld/synthetic_control.data
- * Image:       https://archive.ics.uci.edu/ml/machine-learning-databases/synthetic_control-mld/data.jpeg
- *
- * @author Briton Park (bpark738)
- */
 @Slf4j
 public class UciSequenceDataFetcher extends CacheableExtractableDataSetFetcher {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/Cifar10DataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/Cifar10DataSetIterator.java
index c2373d6c4..c0e78fa3b 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/Cifar10DataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/Cifar10DataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -35,14 +39,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * CifarDataSetIterator is an iterator for CIFAR-10 dataset - 10 classes, with 32x32 images with 3 channels (RGB)
- *
- * This fetcher uses a cached version of the CIFAR dataset which is converted to PNG images,
- * see: https://pjreddie.com/projects/cifar-10-dataset-mirror/.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class Cifar10DataSetIterator extends RecordReaderDataSetIterator {
 
     @Getter
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/EmnistDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/EmnistDataSetIterator.java
index 527c24b72..6d000582e 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/EmnistDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/EmnistDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -25,29 +29,6 @@ import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * EMNIST DataSetIterator

- * EMNIST is similar to the common MNIST dataset (available via {@link MnistDataSetIterator}), with 6 different splits/
- * variants, specified by {@link Set}:

- * 
    
- *     
  • COMPLETE: Also known as 'ByClass' split. 814,255 examples total (train + test), 62 classes
    • 
- *     
  • MERGE: Also known as 'ByMerge' split. 814,255 examples total. 47 unbalanced classes. Combines lower and upper
- *     case characters (that are difficult to distinguish) into one class for each letter (instead of 2), for letters
- *     C, I, J, K, L, M, O, P, S, U, V, W, X, Y and Z 
    • 
- *     
  • BALANCED: 131,600 examples total. 47 classes (equal number of examples in each class)
    • 
- *     
  • LETTERS: 145,600 examples total. 26 balanced classes
    • 
- *     
  • DIGITS: 280,000 examples total. 10 balanced classes
    • 
- *     
  • MNIST: 70,000 examples total. 10 balanced classes. Equivalent to the original MNIST dataset in {@link MnistDataSetIterator}
    • 
- * 

- * 

- * See: 
- *     https://www.nist.gov/itl/iad/image-group/emnist-dataset and
- * https://arxiv.org/abs/1702.05373
- *
- * As per {@link MnistDataSetIterator}, the features data is in "flattened" format: shape [minibatch, 784].
- *
- * @author Alex Black
- */
 public class EmnistDataSetIterator extends BaseDatasetIterator {
 
     private static final int NUM_COMPLETE_TRAIN = 697932;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/IrisDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/IrisDataSetIterator.java
index 8a7091aa3..52f82935d 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/IrisDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/IrisDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -20,10 +24,6 @@ import org.deeplearning4j.datasets.fetchers.IrisDataFetcher;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator;
 
-/**
- * IrisDataSetIterator: An iterator for the well-known Iris dataset. 4 features, 3 label classes

- * https://archive.ics.uci.edu/ml/datasets/Iris
- */
 public class IrisDataSetIterator extends BaseDatasetIterator {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/LFWDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/LFWDataSetIterator.java
index 0930d6be2..37ce72ea4 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/LFWDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/LFWDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -25,11 +29,6 @@ import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
 
 import java.util.Random;
 
-/**
- * LFW iterator - Labeled Faces from the Wild dataset

- * See http://vis-www.cs.umass.edu/lfw/

- * 13233 images total, with 5749 classes.
- */
 public class LFWDataSetIterator extends RecordReaderDataSetIterator {
 
     /** Loads subset of images with given imgDim returned by the generator. */
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/MnistDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/MnistDataSetIterator.java
index 81a582e74..48e3c2434 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/MnistDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/MnistDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -21,15 +25,6 @@ import org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator;
 
 import java.io.IOException;
 
-/**
- * MNIST data set iterator - 60000 training digits, 10000 test digits, 10 classes.
- * Digits have 28x28 pixels and 1 channel (grayscale).

- * Produces data in c-order "flattened" format, with shape {@code [minibatch, 784]}

- * For futher details, see http://yann.lecun.com/exdb/mnist/
- *
- * @author Adam Gibson
- * @see EmnistDataSetIterator
- */
 public class MnistDataSetIterator extends BaseDatasetIterator {
 
     public MnistDataSetIterator(int batch, int numExamples) throws IOException {
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/TinyImageNetDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/TinyImageNetDataSetIterator.java
index fbbe3cc97..4e418cb1c 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/TinyImageNetDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/TinyImageNetDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -35,18 +39,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Tiny ImageNet is a subset of the ImageNet database. TinyImageNet is the default course challenge for CS321n
- * at Stanford University.
- *
- * Tiny ImageNet has 200 classes, each consisting of 500 training images.

- * Images are 64x64 pixels, RGB.
- *
- * See: http://cs231n.stanford.edu/ and
- * https://tiny-imagenet.herokuapp.com/
- *
- * @author Justin Long (crockpotveggies)
- */
 public class TinyImageNetDataSetIterator extends RecordReaderDataSetIterator {
 
     @Getter
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/UciSequenceDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/UciSequenceDataSetIterator.java
index ec32b48a9..380f73b1d 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/UciSequenceDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/iterator/impl/UciSequenceDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -21,17 +25,6 @@ import org.deeplearning4j.datasets.fetchers.DataSetType;
 import org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
-/**
- * UCI synthetic control chart time series dataset. This dataset is useful for classification of univariate
- * time series with six categories:

- * Normal, Cyclic, Increasing trend, Decreasing trend, Upward shift, Downward shift
- *
- * Details:     https://archive.ics.uci.edu/ml/datasets/Synthetic+Control+Chart+Time+Series

- * Data:        https://archive.ics.uci.edu/ml/machine-learning-databases/synthetic_control-mld/synthetic_control.data

- * Image:       https://archive.ics.uci.edu/ml/machine-learning-databases/synthetic_control-mld/data.jpeg
- *
- * @author Briton Park (bpark738)
- */
 public class UciSequenceDataSetIterator extends SequenceRecordReaderDataSetIterator {
 
     protected DataSetPreProcessor preProcessor;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistDbFile.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistDbFile.java
index 189e0bf38..5fd53de81 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistDbFile.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistDbFile.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.mnist;
 
@@ -21,13 +25,6 @@ import java.io.FileNotFoundException;
 import java.io.IOException;
 import java.io.RandomAccessFile;
 
-/**
- * MNIST database file containing entries that can represent image or label
- * data. Extends the standard random access file with methods for navigating
- * over the entries. The file format is basically idx with specific header
- * information. This includes a magic number for determining the type of stored
- * entries, count of entries.
- */
 public abstract class MnistDbFile extends RandomAccessFile {
     private int count;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistImageFile.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistImageFile.java
index db068e3bd..196352e84 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistImageFile.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistImageFile.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.mnist;
 
@@ -21,12 +25,6 @@ import java.io.FileNotFoundException;
 import java.io.IOException;
 
 
-/**
- * 
- * MNIST database image file. Contains additional header information for the
- * number of rows and columns per each entry.
- * 
- */
 public class MnistImageFile extends MnistDbFile {
     private int rows;
     private int cols;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistLabelFile.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistLabelFile.java
index 74a1a1d93..ce28cdf37 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistLabelFile.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistLabelFile.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.mnist;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistManager.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistManager.java
index 220bfb4fd..4affe41b6 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistManager.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/mnist/MnistManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.mnist;
 
@@ -24,24 +28,6 @@ import java.io.FileWriter;
 import java.io.IOException;
 
 
-/**
- * 

- * Utility class for working with the MNIST database.
- * 

- * Provides methods for traversing the images and labels data files separately,
- * as well as simultaneously.
- * 

- * Provides also method for exporting an image by writing it as a PPM file.
- * 
 
- * Example usage:
- * 
- *  MnistManager m = new MnistManager("t10k-images.idx3-ubyte", "t10k-labels.idx1-ubyte");
- *  m.setCurrent(10); //index of the image that we are interested in
- *  int[][] image = m.readImage();
- *  System.out.println("Label:" + m.readLabel());
- *  MnistManager.writeImageToPpm(image, "10.ppm");
- * 

- */
 public class MnistManager {
     MnistImageFile images;
     private MnistLabelFile labels;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/pom.xml b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/pom.xml
index 2ce302370..048d62fd0 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/pom.xml
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/pom.xml
@@ -1,27 +1,35 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-data
         org.deeplearning4j
+        deeplearning4j-data
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-datavec-iterators
     jar
@@ -37,7 +45,6 @@
         
             org.nd4j
             nd4j-api
-            ${nd4j.version}
         
     
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetIterator.java
index 38d931184..967c4249d 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec;
 
@@ -46,42 +50,6 @@ import java.util.Iterator;
 import java.util.List;
 
 
-/**
- * Record reader dataset iterator. Takes a DataVec {@link RecordReader} as input, and handles the conversion to ND4J
- * DataSet objects as well as producing minibatches from individual records.

- * 

- * Multiple constructors are available, and a {@link Builder} class is also available.

- * 

- * Example 1: Image classification, batch size 32, 10 classes

- * 
- * {@code RecordReader rr = new ImageRecordReader(28,28,3); //28x28 RGB images
- *  rr.initialize(new FileSplit(new File("/path/to/directory")));
- *
- *  DataSetIterator iter = new RecordReaderDataSetIterator.Builder(rr, 32)
- *       //Label index (first arg): Always value 1 when using ImageRecordReader. For CSV etc: use index of the column
- *       //  that contains the label (should contain an integer value, 0 to nClasses-1 inclusive). Column indexes start
- *       // at 0. Number of classes (second arg): number of label classes (i.e., 10 for MNIST - 10 digits)
- *       .classification(1, nClasses)
- *       .preProcessor(new ImagePreProcessingScaler())      //For normalization of image values 0-255 to 0-1
- *       .build()
- * }
- * 

- * 

- * 

- * Example 2: Multi-output regression from CSV, batch size 128

- * 
- * {@code RecordReader rr = new CsvRecordReader(0, ','); //Skip 0 header lines, comma separated
- *  rr.initialize(new FileSplit(new File("/path/to/myCsv.txt")));
- *
- *  DataSetIterator iter = new RecordReaderDataSetIterator.Builder(rr, 128)
- *       //Specify the columns that the regression labels/targets appear in. Note that all other columns will be
- *       // treated as features. Columns indexes start at 0
- *       .regression(labelColFrom, labelColTo)
- *       .build()
- * }
- * 

- * @author Adam Gibson
- */
 @Slf4j
 public class RecordReaderDataSetIterator implements DataSetIterator {
     private static final String READER_KEY = "reader";
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIterator.java
index 3096ca886..c0c89f00b 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/RecordReaderMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec;
 
@@ -47,17 +51,6 @@ import java.io.IOException;
 import java.io.Serializable;
 import java.util.*;
 
-/**
- * RecordReaderMultiDataSetIterator: A {@link MultiDataSetIterator} for data from one or more RecordReaders and SequenceRecordReaders

- * The idea: generate multiple inputs and multiple outputs from one or more Sequence/RecordReaders. Inputs and outputs
- * may be obtained from subsets of the RecordReader and SequenceRecordReaders columns (for examples, some inputs and outputs
- * as different columns in the same record/sequence); it is also possible to mix different types of data (for example, using both
- * RecordReaders and SequenceRecordReaders in the same RecordReaderMultiDataSetIterator).

- * Uses a builder pattern ({@link RecordReaderMultiDataSetIterator.Builder} to specify the various
- * inputs and subsets.
- *
- * @author Alex Black
- */
 @Getter
 public class RecordReaderMultiDataSetIterator implements MultiDataSetIterator, Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/SequenceRecordReaderDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/SequenceRecordReaderDataSetIterator.java
index d04ca652e..4ad4ffb48 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/SequenceRecordReaderDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/SequenceRecordReaderDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec;
 
@@ -37,14 +41,6 @@ import java.io.IOException;
 import java.io.Serializable;
 import java.util.*;
 
-/**
- * Sequence record reader data set iterator.

- * Given a record reader (and optionally another record reader for the labels) generate time series (sequence) data sets.

- * Supports padding for one-to-many and many-to-one type data loading (i.e., with different number of inputs vs.
- * labels via the {@link AlignmentMode} mode.
- *
- * @author Alex Black
- */
 public class SequenceRecordReaderDataSetIterator implements DataSetIterator {
     /**Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
      * For example, might have 10 time steps total but only one label at end for sequence classification.

diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/exception/ZeroLengthSequenceException.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/exception/ZeroLengthSequenceException.java
index 6698408ba..91adb3103 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/exception/ZeroLengthSequenceException.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datavec-iterators/src/main/java/org/deeplearning4j/datasets/datavec/exception/ZeroLengthSequenceException.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.datavec.exception;
 
-/**
- * Unchecked exception, thrown to signify that a zero-length sequence data set was encountered.
- */
 public class ZeroLengthSequenceException extends RuntimeException {
     public ZeroLengthSequenceException() {
         this("");
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/pom.xml b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/pom.xml
index 103a1a8e7..5e8d6561c 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/pom.xml
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/pom.xml
@@ -1,40 +1,45 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-data
         org.deeplearning4j
+        deeplearning4j-data
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-utility-iterators
     jar
 
     deeplearning4j-utility-iterators
 
-
-
     
         
             org.nd4j
             nd4j-api
-            ${nd4j.version}
         
     
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIterator.java
index 18b1b00b6..64959c6f3 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AbstractDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,14 +34,6 @@ import java.util.List;
 import java.util.NoSuchElementException;
 import java.util.concurrent.LinkedBlockingQueue;
 
-/**
- *  This is simple DataSetIterator implementation, that builds DataSetIterator out of INDArray/float[]/double[] pairs.
- *  Suitable for model feeding with externally originated data.
- *
- *  PLEASE NOTE: If total number of input elements % batchSize != 0, reminder will be ignored
- *
- * @author raver119@gmail.com
- */
 public abstract class AbstractDataSetIterator implements DataSetIterator {
     private DataSetPreProcessor preProcessor;
     private transient Iterable> iterable;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIterator.java
index 1967133c1..305c7144a 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.dataset.callbacks.DataSetCallback;
 
 import java.util.concurrent.BlockingQueue;
 
-/**
- * @deprecated Use {@link org.nd4j.linalg.dataset.AsyncDataSetIterator}
- */
 @Slf4j
 @Deprecated
 public class AsyncDataSetIterator extends org.nd4j.linalg.dataset.AsyncDataSetIterator {
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIterator.java
index 6266fccaa..dda05de53 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.dataset.callbacks.DataSetCallback;
 
 import java.util.concurrent.BlockingQueue;
 
-/**
- * @deprecated Use {@link org.nd4j.linalg.dataset.AsyncMultiDataSetIterator}
- */
 @Slf4j
 @Deprecated
 public class AsyncMultiDataSetIterator extends org.nd4j.linalg.dataset.AsyncMultiDataSetIterator {
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldDataSetIterator.java
index 52411df90..a8cef412e 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -24,14 +28,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.util.List;
 
-/**
- * This wrapper takes your existing DataSetIterator implementation and prevents asynchronous prefetch
- * when using methods such as {@code MultiLayerNetwork.fit(DataSetIterator)}
- * This is mainly used for debugging purposes; generally an iterator that isn't safe to asynchronously prefetch from
- * should simply return {@code asyncSupported() == false}
- *
- * @author raver119@gmail.com
- */
 public class AsyncShieldDataSetIterator implements DataSetIterator {
     private DataSetIterator backingIterator;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldMultiDataSetIterator.java
index e5e6d140a..947cc58ac 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/AsyncShieldMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * This wrapper takes your existing MultiDataSetIterator implementation and prevents asynchronous prefetch
- *
- * @author raver119@gmail.com
- */
 public class AsyncShieldMultiDataSetIterator implements MultiDataSetIterator {
     private MultiDataSetIterator backingIterator;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/BaseDatasetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/BaseDatasetIterator.java
index 6ccbbfa47..977fe1374 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/BaseDatasetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/BaseDatasetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher;
 
 import java.util.List;
 
-/**
- * Baseline implementation includes
- * control over the data fetcher and some basic
- * getters for metadata
- * @author Adam Gibson
- *
- */
 public class BaseDatasetIterator implements DataSetIterator {
 
     protected int batch, numExamples;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedMultiDataSetPreProcessor.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedMultiDataSetPreProcessor.java
index 3587e7153..84e748430 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedMultiDataSetPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedMultiDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -23,10 +27,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Combines various multidataset preprocessors
- * Applied in the order they are specified to in the builder
- */
 public class CombinedMultiDataSetPreProcessor implements MultiDataSetPreProcessor {
 
     private List preProcessors;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessor.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessor.java
index a9ad0de7e..ec225b248 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/CombinedPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * This is special preProcessor, that allows to combine multiple prerpocessors, and apply them to data sequentially.
- *
- * @author raver119@gmail.com
- */
 public class CombinedPreProcessor implements DataSetPreProcessor {
     private List preProcessors;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetFetcher.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetFetcher.java
index 367adead8..b3dfe3091 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -20,14 +24,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.Serializable;
 
-/**
- * A low level interface for loading datasets in to memory.
- * 
- * This is used by an DataSetIterator to handle the specifics of loading data in to memory.
- * @author Adam Gibson
- *
- * @deprecated Retained for legacy purposes, will be removed in a future release
- */
 @Deprecated
 public interface DataSetFetcher extends Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetIteratorSplitter.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetIteratorSplitter.java
index ac03d5cec..a1b183565 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetIteratorSplitter.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DataSetIteratorSplitter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -29,15 +33,6 @@ import java.util.List;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This iterator virtually splits given MultiDataSetIterator into Train and Test parts.
- * I.e. you have 100000 examples. Your batch size is 32. That means you have 3125 total batches. With split ratio of 0.7 that will give you 2187 training batches, and 938 test batches.
- *
- * PLEASE NOTE: You can't use Test iterator twice in a row. Train iterator should be used before Test iterator use.

- * PLEASE NOTE: You can't use this iterator, if underlying iterator uses randomization/shuffle between epochs.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DataSetIteratorSplitter {
     protected DataSetIterator backedIterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DoublesDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DoublesDataSetIterator.java
index 629f282dd..1ca834ad6 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DoublesDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DoublesDataSetIterator.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
 import lombok.NonNull;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * A simple utility iterator for creating a DataSetIterator from an {@code Iterable>}.
- * First value in pair is the features vector, second value in pair is the labels.
- * Supports generating 2d features/labels only
- *
- * @author raver119@gmail.com
- */
 public class DoublesDataSetIterator extends AbstractDataSetIterator {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIterator.java
index c336378ad..c63852da7 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.util.ArrayList;
 
-/**
- * This class provides baseline implementation of BlockDataSetIterator interface
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DummyBlockDataSetIterator implements BlockDataSetIterator {
     protected final DataSetIterator iterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java
index fbc0eeb39..45a473a26 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
 import java.util.ArrayList;
 
-/**
- * This class provides baseline implementation of BlockMultiDataSetIterator interface
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DummyBlockMultiDataSetIterator implements BlockMultiDataSetIterator {
     protected final MultiDataSetIterator iterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyPreProcessor.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyPreProcessor.java
index 9e095f928..15cf34d55 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyPreProcessor.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
-/**
- * This is special dummy preProcessor, that does nothing.
- *
- * @author raver119@gmail.com
- */
 public class DummyPreProcessor implements DataSetPreProcessor {
     /**
      * Pre process a dataset
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIterator.java
index a4a678f2c..c3575fe40 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.util.List;
 
-/**
- * Builds an iterator that terminates once the number of minibatches returned with .next() is equal to a specified number.
- * Note that a call to .next(num) is counted as a call to return a minibatch regardless of the value of num
- * This essentially restricts the data to this specified number of minibatches.
- */
 public class EarlyTerminationDataSetIterator implements DataSetIterator {
 
     private DataSetIterator underlyingIterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIterator.java
index 324d112c7..9284a26d2 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/EarlyTerminationMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Builds an iterator that terminates once the number of minibatches returned with .next() is equal to a specified number.

- * Note that a call to .next(num) is counted as a call to return a minibatch regardless of the value of num
- * This essentially restricts the data to this specified number of minibatches.
- */
 public class EarlyTerminationMultiDataSetIterator implements MultiDataSetIterator {
 
     private MultiDataSetIterator underlyingIterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ExistingDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ExistingDataSetIterator.java
index d2bbbf101..aaa853f14 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ExistingDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ExistingDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * This wrapper provides DataSetIterator interface to existing java {@code Iterable} and {@code Iterator}.
- * Note that when using {@code Iterator}, resetting of the DataSetIterator is not supported
- *
- * @author raver119@gmail.com
- */
 public class ExistingDataSetIterator implements DataSetIterator {
     @Getter
     private DataSetPreProcessor preProcessor;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FileSplitDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FileSplitDataSetIterator.java
index b3a6503ca..54f576439 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FileSplitDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FileSplitDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -27,12 +31,6 @@ import java.io.File;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Simple iterator working with list of files.
- * File to DataSet conversion will be handled via provided FileCallback implementation
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class FileSplitDataSetIterator implements DataSetIterator {
     private DataSetPreProcessor preProcessor;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FloatsDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FloatsDataSetIterator.java
index bd55fa7c2..dc5c12bc1 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FloatsDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/FloatsDataSetIterator.java
@@ -1,32 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
 import lombok.NonNull;
 import org.nd4j.common.primitives.Pair;
 
-/**
- *
- * A simple utility iterator for creating a DataSetIterator from an {@code Iterable>}
- * First value in pair is the features vector, second value in pair is the labels.
- * Supports generating 2d features/labels only
- *
- * @author raver119@gmail.com
- */
 public class FloatsDataSetIterator extends AbstractDataSetIterator {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/INDArrayDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/INDArrayDataSetIterator.java
index f8d462a1f..2f5025be8 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/INDArrayDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/INDArrayDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -20,11 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * A simple utility iterator for creating a DataSetIterator from an {@code Iterable>}.
- * First value in pair is the features vector, second value in pair is the labels.
- * @author raver119@gmail.com
- */
 public class INDArrayDataSetIterator extends AbstractDataSetIterator {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorDataSetIterator.java
index 23429037b..bc6f6eff5 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -24,15 +28,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.util.*;
 
-/**
- * A DataSetIterator that works on an {@code Iterator}, combining and splitting the input DataSet objects as
- * required to get the specified batch size.

- *
- * Typically used in Spark training, but may be used elsewhere.

- * NOTE: reset method is not supported here.
- *
- * @author Alex Black
- */
 public class IteratorDataSetIterator implements DataSetIterator {
 
     private final Iterator iterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java
index 822701d83..8c276ce24 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -26,15 +30,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * A DataSetIterator that works on an {@code Iterator}, combining and splitting the input DataSet objects as
- * required to get a specified batch size.

- *
- * Typically used in Spark training, but may be used elsewhere.
- * NOTE: reset method is not supported here.
- *
- * @author Alex Black
- */
 public class IteratorMultiDataSetIterator implements MultiDataSetIterator {
 
     private final Iterator iterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIterator.java
index 59afb857a..4da766370 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/JointMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,15 +34,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Collection;
 
-/**
- * This dataset iterator combines multiple DataSetIterators into 1 MultiDataSetIterator.
- * Values from each iterator are joined on a per-example basis - i.e., the values from each DataSet are combined
- * as different feature arrays for a multi-input neural network.
- * Labels can come from either one of the underlying DataSetIteartors only (if 'outcome' is >= 0) or from all
- * iterators (if outcome is < 0)
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java
index effa77f05..128113c9d 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,15 +34,6 @@ import java.util.List;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This iterator virtually splits given MultiDataSetIterator into Train and Test parts.
- * I.e. you have 100000 examples. Your batch size is 32. That means you have 3125 total batches. With split ratio of 0.7 that will give you 2187 training batches, and 938 test batches.

- *
- * PLEASE NOTE: You can't use Test iterator twice in a row. Train iterator should be used before Test iterator use.

- * PLEASE NOTE: You can't use this iterator, if underlying iterator uses randomization/shuffle between epochs.

- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class MultiDataSetIteratorSplitter {
     protected MultiDataSetIterator backedIterator;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetWrapperIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetWrapperIterator.java
index 7f406a59f..f747eaad3 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetWrapperIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetWrapperIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
 import java.util.List;
 
-/**
- * This class is simple wrapper that takes single-input MultiDataSets and converts them to DataSets on the fly
- *
- * PLEASE NOTE: This only works if number of features/labels/masks is 1
- * @author raver119@gmail.com
- */
 public class MultiDataSetWrapperIterator implements DataSetIterator {
     protected MultiDataSetIterator iterator;
     protected DataSetPreProcessor preProcessor;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIterator.java
index 592aefcd6..8dbf4d320 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultipleEpochsIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -30,12 +34,6 @@ import java.util.NoSuchElementException;
 import java.util.concurrent.atomic.AtomicLong;
 
 
-/**
- * A dataset iterator for doing multiple passes over a dataset
- *
- * @deprecated Does not properly trigger the incrementing of epoch counts in MultiLayerNetwork/ComputationGraph.
- * Use MultiLayerNetwork/ComputationGraph.fit(DataSetIterator, int numEpochs) instead
- */
 @Deprecated
 public class MultipleEpochsIterator implements DataSetIterator {
     @VisibleForTesting
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomDataSetIterator.java
index 5714953ae..78479e2c2 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomDataSetIterator.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * RandomDataSetIterator: Generates random values (or zeros, ones, integers, etc) according to some distribution.

- * The type of values produced can be specified by the {@link Values} enumeration.

- * Note: This is typically used for testing, debugging and benchmarking purposes.
- *
- * @author Alex Black
- */
 public class RandomDataSetIterator extends MultiDataSetWrapperIterator {
 
     public enum Values {RANDOM_UNIFORM, RANDOM_NORMAL, ONE_HOT, ZEROS, ONES, BINARY, INTEGER_0_10, INTEGER_0_100, INTEGER_0_1000,
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomMultiDataSetIterator.java
index 14564441a..8ce205878 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/RandomMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -31,13 +35,6 @@ import org.nd4j.common.primitives.Triple;
 
 import java.util.*;
 
-/**
- * RandomMultiDataSetIterator: Generates random values (or zeros, ones, integers, etc) according to some distribution.

- * The type of values produced can be specified by the {@link Values} enumeration.

- * Note: This is typically used for testing, debugging and benchmarking purposes.
- *
- * @author Alex Black
- */
 public class RandomMultiDataSetIterator implements MultiDataSetIterator {
 
     public enum Values {RANDOM_UNIFORM, RANDOM_NORMAL, ONE_HOT, ZEROS, ONES, BINARY, INTEGER_0_10, INTEGER_0_100, INTEGER_0_1000,
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ReconstructionDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ReconstructionDataSetIterator.java
index 320477d8e..8fb538d7f 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ReconstructionDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ReconstructionDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java
index 32e4c61d3..3ca86f19b 100755
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.util.List;
 
-/**
- * @deprecated Use {@link org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator}
- */
 @Deprecated
 public class SamplingDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator {
     public SamplingDataSetIterator(DataSet sampleFrom, int batchSize, int totalNumberSamples) {
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java
index 40039f09e..91d9579c9 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.datasets.iterator;
 
 import lombok.val;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java
index 5942f77f3..a2ba36f36 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.datasets.iterator;
 
 import lombok.val;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/WorkspacesShieldDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/WorkspacesShieldDataSetIterator.java
index f0126be81..46806fabf 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/WorkspacesShieldDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/WorkspacesShieldDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator;
 
@@ -24,12 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.List;
 
-/**
- * This iterator detaches/migrates DataSets coming out from backed DataSetIterator, thus providing "safe" DataSets.

- * This is typically used for debugging and testing purposes, and should not be used in general by users
- *
- * @author raver119@gmail.com
- */
 public class WorkspacesShieldDataSetIterator implements DataSetIterator {
     protected DataSetIterator iterator;
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java
index c3edb0392..08b3bf2ac 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.callbacks;
 
@@ -20,9 +24,6 @@ package org.deeplearning4j.datasets.iterator.callbacks;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * @deprecated Use {@link org.nd4j.linalg.dataset.callbacks.DataSetCallback}
- */
 @Deprecated
 public interface DataSetCallback extends org.nd4j.linalg.dataset.callbacks.DataSetCallback {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetDeserializer.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetDeserializer.java
index 9d4ace225..50e2134a5 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetDeserializer.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.callbacks;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.File;
 
-/**
- * This callback does DataSet deserialization of a given file.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DataSetDeserializer implements FileCallback {
     @Override
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java
index 10397c014..a4138391a 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.callbacks;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @deprecated use {@link org.nd4j.linalg.dataset.callbacks.DefaultCallback}
- */
 @Deprecated
 public class DefaultCallback extends org.nd4j.linalg.dataset.callbacks.DefaultCallback {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/FileCallback.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/FileCallback.java
index 651220647..87858dcc7 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/FileCallback.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/FileCallback.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.callbacks;
 
 import java.io.File;
 
-/**
- * @author raver119@gmail.com
- */
 public interface FileCallback {
 
      T call(File file);
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/InterleavedDataSetCallback.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/InterleavedDataSetCallback.java
index d0bf94f32..39be1e600 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/InterleavedDataSetCallback.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/InterleavedDataSetCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.callbacks;
 
@@ -31,11 +35,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This callback migrates incoming datasets in round-robin manner, to ensure TDA for ParallelWrapper
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class InterleavedDataSetCallback implements DataSetCallback {
     private List workspaces = new ArrayList<>();
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/BaseFileIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/BaseFileIterator.java
index a0cabdf7c..47b351396 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/BaseFileIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/BaseFileIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.file;
 
@@ -28,13 +32,6 @@ import org.nd4j.common.util.MathUtils;
 import java.io.File;
 import java.util.*;
 
-/**
- * Base class for loading DataSet objects from file
- *
- * @param  Type of dataset
- * @param 
 Type of preprocessor
- * @author Alex Black
- */
 public abstract class BaseFileIterator implements Iterator {
 
     protected final List list;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileDataSetIterator.java
index 714f1a22c..db1b1df04 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.file;
 
@@ -26,19 +30,6 @@ import java.io.File;
 import java.util.List;
 import java.util.Random;
 
-/**
- * Iterate over a directory (and optionally subdirectories) containing a number of {@link DataSet} objects that have
- * previously been saved to files with {@link DataSet#save(File)}.

- * This iterator supports the following (optional) features, depending on the constructor used:

- * - Recursive listing of all files (i.e., include files in subdirectories)

- * - Filtering based on a set of file extensions (if null, no filtering - assume all files are saved DataSet objects)

- * - Randomization of iteration order (default enabled, if a {@link Random} instance is provided

- * - Combining and splitting of DataSets (disabled by default, or if batchSize == -1. If enabled, DataSet objects will
- * be split or combined as required to ensure the specified minibatch size is returned. In other words, the saved
- * DataSet objects can have a different number of examples vs. those returned by the iterator.

- *
- * @author Alex BLack
- */
 public class FileDataSetIterator extends BaseFileIterator implements DataSetIterator {
 
     @Getter
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileMultiDataSetIterator.java
index 803223cd5..5944760ed 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/file/FileMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.file;
 
@@ -25,19 +29,6 @@ import java.io.IOException;
 import java.util.List;
 import java.util.Random;
 
-/**
- * Iterate over a directory (and optionally subdirectories) containing a number of {@link MultiDataSet} objects that have
- * previously been saved to files with {@link MultiDataSet#save(File)}.

- * This iterator supports the following (optional) features, depending on the constructor used:

- * - Recursive listing of all files (i.e., include files in subdirectories)

- * - Filtering based on a set of file extensions (if null, no filtering - assume all files are saved MultiDataSet objects)

- * - Randomization of iteration order (default enabled, if a {@link Random} instance is provided

- * - Combining and splitting of MultiDataSets (disabled by default, or if batchSize == -1. If enabled, MultiDataSet
- * objects will be split or combined as required to ensure the specified minibatch size is returned. In other words, the
- * saved MultiDataSet objects can have a different number of examples vs. those returned by the iterator.

- *
- * @author Alex BLack
- */
 public class FileMultiDataSetIterator extends BaseFileIterator implements MultiDataSetIterator {
 
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkDataSetIterator.java
index 5dd8ebc9c..7f4808fd2 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Dataset iterator for simulated inputs, or input derived from a DataSet example. Primarily used for benchmarking.
- * Note that features/labels are re-used on each call of next() and are not re-created.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class BenchmarkDataSetIterator implements DataSetIterator {
     private INDArray baseFeatures;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkMultiDataSetIterator.java
index ca067b221..60457c297 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/BenchmarkMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * MultiDataset iterator for simulated inputs, or input derived from a MultiDataSet example. Primarily
- * used for benchmarking.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class BenchmarkMultiDataSetIterator implements MultiDataSetIterator {
     private INDArray[] baseFeatures;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/ListDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/ListDataSetIterator.java
index 8b592c598..ca95b334d 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/ListDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/ListDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -25,11 +29,6 @@ import java.util.ArrayList;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * A simple iterator that wraps a {@code Collection}. Assumes that each DataSet contains a single example
- *
- * @author Adam Gibson
- */
 public class ListDataSetIterator implements DataSetIterator {
 
     private static final long serialVersionUID = -7569201667767185411L;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonDataSetIterator.java
index cb9170635..53c74a04a 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import java.util.List;
 import java.util.NoSuchElementException;
 
-/**
- * A very simple adapter class for converting a single DataSet to a DataSetIterator.
- * Returns a single DataSet as-is, once for each epoch
- *
- * @author Alex Black
- */
 public class SingletonDataSetIterator implements DataSetIterator {
 
     private final DataSet dataSet;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonMultiDataSetIterator.java
index 9357975f5..cfef3f51a 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/impl/SingletonMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.impl;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
 import java.util.NoSuchElementException;
 
-/**
- * A very simple adapter class for converting a single MultiDataSet to a MultiDataSetIterator.
- * Returns a single MultiDataSet as-is, once for each epoch
- *
- * @author Alex Black
- */
 public class SingletonMultiDataSetIterator implements MultiDataSetIterator {
 
     private final MultiDataSet multiDataSet;
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/DataSetLoaderIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/DataSetLoaderIterator.java
index 18ca8ca5c..9f327ce63 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/DataSetLoaderIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/DataSetLoaderIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.loader;
 
@@ -31,18 +35,6 @@ import org.nd4j.common.util.MathUtils;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * A DataSetLoader that loads DataSets from a path, using a {@code Loader} such as SerializedDataSetLoader.
- * Paths are converted to input streams using {@link SourceFactory} such as {@link LocalFileSourceFactory}.
- * Note that this iterator does not implement any sort of merging/batching functionality - it simply returns the DataSets
- * as-is from the path/loader.
- *
- * Note: If using {@link #DataSetLoaderIterator(Collection, Random, Loader, SourceFactory)} constructor with non-null
- * Random instance, the data will be shuffled,
- *
- *
- * @author Alex Black
- */
 @Data
 public class DataSetLoaderIterator implements DataSetIterator {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/MultiDataSetLoaderIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/MultiDataSetLoaderIterator.java
index faba56093..ea553b231 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/MultiDataSetLoaderIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/loader/MultiDataSetLoaderIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.loader;
 
@@ -29,18 +33,6 @@ import org.nd4j.common.util.MathUtils;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * A MultiDataSetLoader that loads MultiDataSets from a path, using a {@code Loader} such as {@link SerializedMultiDataSetLoader}.
- * Paths are converted to input streams using {@link SourceFactory} such as {@link LocalFileSourceFactory}.
- * Note that this iterator does not implement any sort of merging/batching functionality - it simply returns the DataSets
- * as-is from the path/loader.
- *
- * Note: If using {@link #MultiDataSetLoaderIterator(Collection, Random, Loader, SourceFactory)} constructor with non-null
- * Random instance, the data will be shuffled,
- *
- *
- * @author Alex Black
- */
 @Data
 public class MultiDataSetLoaderIterator implements MultiDataSetIterator {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/BaseParallelDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/BaseParallelDataSetIterator.java
index 714bcdfd1..38bda75ad 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/BaseParallelDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/BaseParallelDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.parallel;
 
@@ -27,9 +31,6 @@ import java.util.List;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract class BaseParallelDataSetIterator implements ParallelDataSetIterator {
     protected AtomicLong counter = new AtomicLong(0);
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/FileSplitParallelDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/FileSplitParallelDataSetIterator.java
index 02f2c4eb0..4f1d73560 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/FileSplitParallelDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/FileSplitParallelDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.parallel;
 
@@ -35,9 +39,6 @@ import java.io.File;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class FileSplitParallelDataSetIterator extends BaseParallelDataSetIterator {
 
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/JointParallelDataSetIterator.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/JointParallelDataSetIterator.java
index 13da6ac0e..64cd04b89 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/JointParallelDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/JointParallelDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.parallel;
 
@@ -29,9 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class JointParallelDataSetIterator extends BaseParallelDataSetIterator {
     protected List asyncIterators = new ArrayList<>();
diff --git a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/MultiBoolean.java b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/MultiBoolean.java
index df8331bfc..61b58bd56 100644
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/MultiBoolean.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/parallel/MultiBoolean.java
@@ -1,32 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.datasets.iterator.parallel;
 
 import lombok.extern.slf4j.Slf4j;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
-/**
- * This is utility class, that allows easy handling of multiple joint boolean states.
- *
- * PLEASE NOTE: It's suited for tracking up to 32 states in total.
- * PLEASE NOTE: This class is NOT thread safe
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class MultiBoolean {
     private final int numEntries;
diff --git a/deeplearning4j/deeplearning4j-data/pom.xml b/deeplearning4j/deeplearning4j-data/pom.xml
index bcf4d3355..6792e9d38 100644
--- a/deeplearning4j/deeplearning4j-data/pom.xml
+++ b/deeplearning4j/deeplearning4j-data/pom.xml
@@ -1,38 +1,57 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
         deeplearning4j-parent
         org.deeplearning4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-data
     pom
 
     deeplearning4j-data
+
     
         deeplearning4j-datavec-iterators
         deeplearning4j-datasets
         deeplearning4j-utility-iterators
     
 
+    
+        
+            
+                org.nd4j
+                nd4j-api
+                ${nd4j.version}
+            
+        
+    
+
     
         
             test-nd4j-native
@@ -41,5 +60,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-dataimport-solrj/pom.xml b/deeplearning4j/deeplearning4j-dataimport-solrj/pom.xml
index 15c3c0715..d16a56980 100644
--- a/deeplearning4j/deeplearning4j-dataimport-solrj/pom.xml
+++ b/deeplearning4j/deeplearning4j-dataimport-solrj/pom.xml
@@ -1,31 +1,39 @@
 
+
 
-
+
 
-
-    deeplearning4j-dataimport-solrj
     4.0.0
+
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
+
+    deeplearning4j-dataimport-solrj
     jar
+
     
         1.10.1
     
@@ -37,7 +45,9 @@
                     org.apache.maven.plugins
                     maven-surefire-plugin
                     
-                        -Ddtype=float -Dfile.encoding=UTF-8 -Xmx8g -Dtest.solr.allowed.securerandom=NativePRNG
+                        -Ddtype=float -Dfile.encoding=UTF-8 -Xmx8g
+                            -Dtest.solr.allowed.securerandom=NativePRNG
+                        
                         
                             
                             *.java
@@ -50,54 +60,44 @@
     
 
     
-
         
             org.apache.solr
             solr-solrj
             ${lucene-solr.version}
         
-
         
             org.slf4j
-            slf4j-api          
+            slf4j-api
         
-
         
             org.nd4j
             nd4j-api
             ${nd4j.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-nn
             ${project.version}
         
-
-        
         
             junit
-            junit          
-            test
+            junit
         
-
         
             org.apache.solr
             solr-test-framework
             ${lucene-solr.version}
             test
         
-
         
             org.apache.solr
             solr-core
             ${lucene-solr.version}
             test
         
-
         
             ch.qos.logback
-            logback-classic 
+            logback-classic
             test
         
     
@@ -114,7 +114,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
diff --git a/deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java b/deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java
index 106c9fd3f..43a8ae1cc 100644
--- a/deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.dataimport.solr.client.solrj.io.stream;
 
@@ -38,29 +42,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-/**
-  * A {@link DataSetIterator} which uses a streaming expression
- * to fetch data from Apache Solr and/or one of the sources (e.g. jdbc) supported as a stream source.
- * 

- * Example code snippet:
-
{
-  try (final TupleStreamDataSetIterator tsdsi =
-         new TupleStreamDataSetIterator(
-         batch,
-         "id",
-         new String[] { "fieldA", "fieldB", "fieldC" },
-         new String[] { "fieldX", "fieldY" },
-         "search(mySolrCollection," +
-         "q=\"id:*\"," +
-         "fl=\"id,fieldA,fieldB,fieldC,fieldX,fieldY\"," +
-         "sort=\"id asc\"," +
-         "qt=\"/export\")",
-         zkServerAddress)) {
-
-    model.fit(tsdsi);
-  }
-

-  */
 public class TupleStreamDataSetIterator implements Closeable, DataSetIterator {
 
     private static final Logger log = LoggerFactory.getLogger(MethodHandles.lookup().lookupClass());
diff --git a/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIteratorTest.java
index b0757e67f..45996e6b2 100644
--- a/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.dataimport.solr.client.solrj.io.stream;
 
diff --git a/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/schema.xml b/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/schema.xml
index 6441ed92f..f8bdcee17 100644
--- a/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/schema.xml
+++ b/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/schema.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/solrconfig.xml b/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/solrconfig.xml
index 4987c5420..69dd4e842 100644
--- a/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/solrconfig.xml
+++ b/deeplearning4j/deeplearning4j-dataimport-solrj/src/test/resources/solr/configsets/mini/conf/solrconfig.xml
@@ -1,25 +1,23 @@
 
-
-
 
+  ~ /* ******************************************************************************
+  ~  *
+  ~  *
+  ~  * This program and the accompanying materials are made available under the
+  ~  * terms of the Apache License, Version 2.0 which is available at
+  ~  * https://www.apache.org/licenses/LICENSE-2.0.
+  ~  *
+  ~  *  See the NOTICE file distributed with this work for additional
+  ~  *  information regarding copyright ownership.
+  ~  * Unless required by applicable law or agreed to in writing, software
+  ~  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+  ~  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+  ~  * License for the specific language governing permissions and limitations
+  ~  * under the License.
+  ~  *
+  ~  * SPDX-License-Identifier: Apache-2.0
+  ~  ******************************************************************************/
+  -->
 
 
   7.7.1
diff --git a/deeplearning4j/deeplearning4j-graph/pom.xml b/deeplearning4j/deeplearning4j-graph/pom.xml
index 876470377..fe0a366b0 100644
--- a/deeplearning4j/deeplearning4j-graph/pom.xml
+++ b/deeplearning4j/deeplearning4j-graph/pom.xml
@@ -1,28 +1,36 @@
 
-
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-scaleout
         org.deeplearning4j
+        deeplearning4j-scaleout
         1.0.0-SNAPSHOT
         ../deeplearning4j-scaleout/pom.xml
     
-    4.0.0
 
     deeplearning4j-graph
 
@@ -32,25 +40,20 @@
             deeplearning4j-core
             ${project.version}
         
-
         
             org.threadly
             threadly
             ${threadly.version}
         
-
         
             junit
             junit
-            test
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -67,5 +70,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/BaseGraph.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/BaseGraph.java
index ad9ea8c43..982e49724 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/BaseGraph.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/BaseGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.api;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Edge.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Edge.java
index bf551eef2..a2b170555 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Edge.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Edge.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.api;
 
 import lombok.Data;
 
-/** Edge in a graph. May be a directed or undirected edge.

- * Parameterized, and may store a value/object associated with the edge
- */
 @Data
 public class Edge {
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IGraph.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IGraph.java
index 6b8385448..0dee43de7 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IGraph.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.api;
 
@@ -21,15 +25,6 @@ import org.deeplearning4j.graph.exception.NoEdgesException;
 import java.util.List;
 import java.util.Random;
 
-/** Interface for a IGraph, with objects for each vertex and edge.
- * In the simplest case, edges and vertices may be labelled (i.e., IGraph for example), or may be
- * any arbitrary object (or, null).

- * IGraph may include directed edges, undirected edges, or a combination of both

- * Note: Every vertex in the graph has an integer index, in range of 0 to numVertices() inclusive

- * @param  type for vertex objects
- * @param  type for edge objects
- * @author Alex Black
- */
 public interface IGraph {
 
     /** Number of vertices in the graph */
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IVertexSequence.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IVertexSequence.java
index 5859a2359..0c9bf57fe 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IVertexSequence.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/IVertexSequence.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.api;
 
 import java.util.Iterator;
 
-/**Represents a sequence of vertices in a graph.

- * General-purpose, but can be used to represent a walk on a graph, for example.
- */
 public interface IVertexSequence extends Iterator> {
 
     /** Length of the vertex sequence */
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/NoEdgeHandling.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/NoEdgeHandling.java
index 808cca6e3..1fb4aa3d7 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/NoEdgeHandling.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/NoEdgeHandling.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.api;
 
-/**When walking a graph, how should we handle disconnected nodes?
- * i.e., those without any outgoing (directed) or undirected edges
- */
 public enum NoEdgeHandling {
     SELF_LOOP_ON_DISCONNECTED, EXCEPTION_ON_DISCONNECTED
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Vertex.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Vertex.java
index ef0829794..ce8fddac1 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Vertex.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/api/Vertex.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.api;
 
 import lombok.AllArgsConstructor;
 
-/** Vertex in a graph
- *
- * @param  the type of the value/object associated with the vertex
- */
 @AllArgsConstructor
 public class Vertex {
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/EdgeLineProcessor.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/EdgeLineProcessor.java
index a99177cae..4b9d427a8 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/EdgeLineProcessor.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/EdgeLineProcessor.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data;
 
 import org.deeplearning4j.graph.api.Edge;
 
-/** EdgeLineProcessor is used during data loading from a file, where each edge is on a separate line

- * Provides flexibility in loading graphs with arbitrary objects/properties that can be represented in a text format
- * Can also be used handle conversion of edges between non-numeric vertices to an appropriate numbered format
- * @param  type of the edge returned
- */
 public interface EdgeLineProcessor {
 
     /** Process a line of text into an edge.
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/GraphLoader.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/GraphLoader.java
index 3733c7802..e0c4342af 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/GraphLoader.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/GraphLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/VertexLoader.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/VertexLoader.java
index 998dca0e8..74e6b8682 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/VertexLoader.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/VertexLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data;
 
@@ -21,7 +25,6 @@ import org.deeplearning4j.graph.api.Vertex;
 import java.io.IOException;
 import java.util.List;
 
-/** Interface defines a method of leading vertices from a file. */
 public interface VertexLoader {
 
     List> loadVertices(String path) throws IOException;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedEdgeLineProcessor.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedEdgeLineProcessor.java
index 6a6c1b8e2..5a93b1c8a 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedEdgeLineProcessor.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedEdgeLineProcessor.java
@@ -1,28 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data.impl;
 
 import org.deeplearning4j.graph.api.Edge;
 import org.deeplearning4j.graph.data.EdgeLineProcessor;
 
-/**A simple line processor, for data in the format
- * 01\n 30\n etc. Order per line is nodeFrom -> nodeTo, in the case of directed edges
- * i.e., one edge per line without any additional edge information
- */
 public class DelimitedEdgeLineProcessor implements EdgeLineProcessor {
     private final String delimiter;
     private final String[] skipLinesStartingWith;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedVertexLoader.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedVertexLoader.java
index c47f5d9fb..aee94126d 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedVertexLoader.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/DelimitedVertexLoader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data.impl;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/WeightedEdgeLineProcessor.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/WeightedEdgeLineProcessor.java
index e0620ed2c..2efe1c4f0 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/WeightedEdgeLineProcessor.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/data/impl/WeightedEdgeLineProcessor.java
@@ -1,28 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data.impl;
 
 import org.deeplearning4j.graph.api.Edge;
 import org.deeplearning4j.graph.data.EdgeLineProcessor;
 
-/**A simple line processor, for data in the format {@code 01weight}. Order per line is nodeFrom -> nodeTo, in
- * the case of directed edges, and the weights are assumed to be doubles
- * i.e., one edge per line without any additional edge information
- */
 public class WeightedEdgeLineProcessor implements EdgeLineProcessor {
     private final String delimiter;
     private final String[] skipLinesStartingWith;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/NoEdgesException.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/NoEdgesException.java
index 383b5f1f9..dddd35587 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/NoEdgesException.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/NoEdgesException.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.exception;
 
-/**Unchecked exception, thrown to signify that an operation (usually on a vertex) cannot be completed
- * because there are no edges for that vertex.
- */
 public class NoEdgesException extends RuntimeException {
 
     public NoEdgesException() {
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/ParseException.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/ParseException.java
index c1efdc258..3be89530c 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/ParseException.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/exception/ParseException.java
@@ -1,22 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.exception;
 
-/** Unchecked exception signifying that an error occurred during parsing of text */
 public class ParseException extends RuntimeException {
     public ParseException() {
         super();
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/Graph.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/Graph.java
index 76c9a710f..2723e73fe 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/Graph.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/Graph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.graph;
 
@@ -26,19 +30,6 @@ import org.deeplearning4j.graph.vertexfactory.VertexFactory;
 import java.lang.reflect.Array;
 import java.util.*;
 
-/** Graph, where all edges and vertices are stored in-memory.

- * Internally, this is a directed graph with adjacency list representation; however, if undirected edges
- * are added, these edges are duplicated internally to allow for fast lookup.

- * Depending on the value of {@code allowMultipleEdges}, this graph implementation may or may not allow
- * multiple edges between any two adjacent nodes. If multiple edges are required (such that two or more distinct edges
- * between vertices X and Y exist simultaneously) then {@code allowMultipleEdges} should be set to {@code true}.

- * As per {@link IGraph}, this graph representation can have arbitrary objects attached

- * Vertices are initialized either directly via list, or via a {@link VertexFactory}. Edges are added using one of the
- * addEdge methods.
- * @param  Type parameter for vertices (type of objects attached to each vertex)
- * @param  Type parameter for edges (type of objects attached to each edge)
- * @author Alex Black
- */
 public class Graph extends BaseGraph {
     private boolean allowMultipleEdges;
     private List>[] edges; //edge[i].get(j).to = k, then edge from i -> k
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/VertexSequence.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/VertexSequence.java
index 4622159ad..2234edf25 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/VertexSequence.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/graph/VertexSequence.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.graph;
 
@@ -22,9 +26,6 @@ import org.deeplearning4j.graph.api.Vertex;
 
 import java.util.NoSuchElementException;
 
-/**A vertex sequence represents a sequences of vertices in a graph
- * @author Alex Black
- */
 public class VertexSequence implements IVertexSequence {
     private final IGraph graph;
     private int[] indices;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/GraphWalkIterator.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/GraphWalkIterator.java
index 04f019906..22dec945e 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/GraphWalkIterator.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/GraphWalkIterator.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.iterator;
 
 import org.deeplearning4j.graph.api.IVertexSequence;
 
-/**Interface/iterator representing a sequence of walks on a graph
- * For example, a {@code GraphWalkIterator} can represesnt a set of independent random walks on a graph
- */
 public interface GraphWalkIterator {
 
     /** Length of the walks returned by next()
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/RandomWalkIterator.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/RandomWalkIterator.java
index fb5f3a442..a8830571b 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/RandomWalkIterator.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/RandomWalkIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.iterator;
 
@@ -26,11 +30,6 @@ import org.deeplearning4j.graph.graph.VertexSequence;
 import java.util.NoSuchElementException;
 import java.util.Random;
 
-/**Given a graph, iterate through random walks on that graph of a specified length.
- * Random walks are generated starting at every node in the graph exactly once, though the order
- * of the starting nodes is randomized.
- * @author Alex Black
- */
 public class RandomWalkIterator implements GraphWalkIterator {
 
     private final IGraph graph;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/WeightedRandomWalkIterator.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/WeightedRandomWalkIterator.java
index f55d0104f..c00c43752 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/WeightedRandomWalkIterator.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/WeightedRandomWalkIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.iterator;
 
@@ -27,15 +31,6 @@ import java.util.List;
 import java.util.NoSuchElementException;
 import java.util.Random;
 
-/**Given a graph, iterate through random walks on that graph of a specified length.
- * Unlike {@link RandomWalkIterator}, the {@code WeightedRandomWalkIterator} uses the values associated with each edge
- * to determine probabilities. Weights on each edge need not be normalized.

- * Because the edge values are used to determine the probabilities of selecting an edge, the {@code WeightedRandomWalkIterator}
- * can only be used on graphs with an edge type that extends the {@link java.lang.Number} class (i.e., Integer, Double, etc)

- * Random walks are generated starting at every node in the graph exactly once, though the order of the starting nodes
- * is randomized.
- * @author Alex Black
- */
 public class WeightedRandomWalkIterator implements GraphWalkIterator {
 
     private final IGraph graph;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/GraphWalkIteratorProvider.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/GraphWalkIteratorProvider.java
index c66bcf2e2..0dde05633 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/GraphWalkIteratorProvider.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/GraphWalkIteratorProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.iterator.parallel;
 
@@ -20,9 +24,6 @@ import org.deeplearning4j.graph.iterator.GraphWalkIterator;
 
 import java.util.List;
 
-/**GraphWalkIteratorProvider: implementations of this interface provide a set of GraphWalkIterator objects.
- * Intended use: parallelization. One GraphWalkIterator per thread.
- */
 public interface GraphWalkIteratorProvider {
 
     /**Get a list of GraphWalkIterators. In general: may return less than the specified number of iterators,
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/RandomWalkGraphIteratorProvider.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/RandomWalkGraphIteratorProvider.java
index 04c882891..58c03f8eb 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/RandomWalkGraphIteratorProvider.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/RandomWalkGraphIteratorProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.iterator.parallel;
 
@@ -25,13 +29,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Random;
 
-/**Random walk graph iterator provider: given a graph, split up the generation of random walks
- * for parallel learning. Specifically: with N threads and V vertices:
- * - First iterator generates random walks starting at vertices 0 to V/N
- * - Second iterator generates random walks starting at vertices V/N+1 to 2*V/N
- * - and so on
- * @param  Vertex type
- */
 public class RandomWalkGraphIteratorProvider implements GraphWalkIteratorProvider {
 
     private IGraph graph;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/WeightedRandomWalkGraphIteratorProvider.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/WeightedRandomWalkGraphIteratorProvider.java
index 004aab2de..0caf147d5 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/WeightedRandomWalkGraphIteratorProvider.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/iterator/parallel/WeightedRandomWalkGraphIteratorProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.iterator.parallel;
 
@@ -25,14 +29,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Random;
 
-/**Weighted random walk graph iterator provider: given a weighted graph (of type {@code IGraph}),
- * split up the generation of weighted random walks for parallel learning. Specifically: with N threads and V vertices:
- * - First iterator generates weighted random walks starting at vertices 0 to V/N
- * - Second iterator generates weighted random walks starting at vertices V/N+1 to 2*V/N
- * - and so on
- * @param  Vertex type
- * @see WeightedRandomWalkIterator
- */
 public class WeightedRandomWalkGraphIteratorProvider implements GraphWalkIteratorProvider {
 
     private IGraph graph;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/BinaryTree.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/BinaryTree.java
index 9e1964011..923b5a1fa 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/BinaryTree.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/BinaryTree.java
@@ -1,22 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models;
 
-/** Binary tree interface, used in DeepWalk */
 public interface BinaryTree {
 
     long getCode(int element);
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/GraphVectors.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/GraphVectors.java
index 123ed2777..6f60aac8d 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/GraphVectors.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/GraphVectors.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**Vectors for nodes in a graph.
- * Provides lookup table and convenience methods for graph vectors
- */
 public interface GraphVectors extends Serializable {
 
     public IGraph getGraph();
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/DeepWalk.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/DeepWalk.java
index 0ba9217ec..1d208be17 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/DeepWalk.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/DeepWalk.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.deepwalk;
 
@@ -36,16 +40,6 @@ import java.util.List;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**Implementation of the DeepWalk graph vectorization model, based on the paper
- * DeepWalk: Online Learning of Social Representations by Perozzi, Al-Rfou & Skiena (2014),
- * https://arxiv.org/abs/1403.6652

- * Similar to word2vec in nature, DeepWalk is an unsupervised learning algorithm that learns a vector representation
- * of each vertex in a graph. Vector representations are learned using walks (usually random walks) on the vertices in
- * the graph.

- * Once learned, these vector representations can then be used for purposes such as classification, clustering, similarity
- * search, etc on the graph

- * @author Alex Black
- */
 public class DeepWalk extends GraphVectorsImpl {
     public static final int STATUS_UPDATE_FREQUENCY = 1000;
     private Logger log = LoggerFactory.getLogger(DeepWalk.class);
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/GraphHuffman.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/GraphHuffman.java
index 5ba8b23e5..919e04a16 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/GraphHuffman.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/deepwalk/GraphHuffman.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.deepwalk;
 
@@ -22,9 +26,6 @@ import org.deeplearning4j.graph.models.BinaryTree;
 import java.util.Arrays;
 import java.util.PriorityQueue;
 
-/**An implementation of a Huffman tree specifically for graphs.
- * Vertices in graph are indexed by an integer, 0 to nVertices-1
- */
 public class GraphHuffman implements BinaryTree {
     private final int MAX_CODE_LENGTH;
     private final long[] codes;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorLookupTable.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorLookupTable.java
index 9cc6bda94..a5af0c16a 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorLookupTable.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorLookupTable.java
@@ -1,25 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.embeddings;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**Lookup table for vector representations of the vertices in a graph
- */
 public interface GraphVectorLookupTable {
 
     /**The size of the vector representations
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorsImpl.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorsImpl.java
index bfc174f75..9a6192602 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorsImpl.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/GraphVectorsImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.embeddings;
 
@@ -30,9 +34,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Comparator;
 import java.util.PriorityQueue;
 
-/** Base implementation for GraphVectors. Used in DeepWalk, and also when loading
- * graph vectors from file.
- */
 @AllArgsConstructor
 @NoArgsConstructor
 public class GraphVectorsImpl implements GraphVectors {
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/InMemoryGraphLookupTable.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/InMemoryGraphLookupTable.java
index bb236a9e5..bcc847169 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/InMemoryGraphLookupTable.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/embeddings/InMemoryGraphLookupTable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.embeddings;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.api.blas.Level1;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/** A standard in-memory implementation of a lookup table for vector representations of the vertices in a graph
- * @author Alex Black
- */
 public class InMemoryGraphLookupTable implements GraphVectorLookupTable {
 
     protected int nVertices;
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/loader/GraphVectorSerializer.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/loader/GraphVectorSerializer.java
index 12127d798..8934938d1 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/loader/GraphVectorSerializer.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/models/loader/GraphVectorSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.loader;
 
@@ -31,9 +35,6 @@ import java.io.*;
 import java.util.ArrayList;
 import java.util.List;
 
-/**GraphVectorSerializer: Provide static methods to save and load DeepWalk/Graph vectors
- *
- */
 public class GraphVectorSerializer {
     private static final Logger log = LoggerFactory.getLogger(GraphVectorSerializer.class);
     private static final String DELIM = "\t";
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/IntegerVertexFactory.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/IntegerVertexFactory.java
index c82f18e86..5a38d2d4c 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/IntegerVertexFactory.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/IntegerVertexFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.vertexfactory;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/StringVertexFactory.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/StringVertexFactory.java
index 9a15029d9..184596034 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/StringVertexFactory.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/StringVertexFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.vertexfactory;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VertexFactory.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VertexFactory.java
index 7b23f3fa8..1004e9d91 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VertexFactory.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VertexFactory.java
@@ -1,25 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.vertexfactory;
 
 import org.deeplearning4j.graph.api.Vertex;
 
-/**Vertex factory, used to create nodes from an integer index (0 to nVertices-1 inclusive)
- */
 public interface VertexFactory {
 
     Vertex create(int vertexIdx);
diff --git a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VoidVertexFactory.java b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VoidVertexFactory.java
index 771b4bd6f..bd9e5367c 100644
--- a/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VoidVertexFactory.java
+++ b/deeplearning4j/deeplearning4j-graph/src/main/java/org/deeplearning4j/graph/vertexfactory/VoidVertexFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.vertexfactory;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/AssertTestsExtendedBaseClass.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/AssertTestsExtendedBaseClass.java
index 4aa3f5507..f62bb82e9 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/AssertTestsExtendedBaseClass.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/AssertTestsExtendedBaseClass.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.graph;
 
 import lombok.extern.slf4j.Slf4j;
@@ -21,14 +25,6 @@ import java.util.*;
 import org.deeplearning4j.BaseDL4JTest;
 import org.nd4j.common.tests.AbstractAssertTestsClass;
 
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4JTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alex Black
- * @author Alexander Stoyakin
- */
 @Slf4j
 public class AssertTestsExtendedBaseClass extends AbstractAssertTestsClass {
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoading.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoading.java
index b80a8c976..7c3c46dd7 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoading.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoading.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoadingWeighted.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoadingWeighted.java
index 524fa9de1..0ac95ab28 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoadingWeighted.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/data/TestGraphLoadingWeighted.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.data;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/graph/TestGraph.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/graph/TestGraph.java
index 6a241393b..5ab8ca342 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/graph/TestGraph.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/graph/TestGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.graph;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/DeepWalkGradientCheck.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/DeepWalkGradientCheck.java
index eb217b068..cf9f08549 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/DeepWalkGradientCheck.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/DeepWalkGradientCheck.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.deepwalk;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestDeepWalk.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestDeepWalk.java
index d589c9a8a..83f3db319 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestDeepWalk.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestDeepWalk.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.deepwalk;
 
diff --git a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestGraphHuffman.java b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestGraphHuffman.java
index 76b2af0b5..5ac89c984 100644
--- a/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestGraphHuffman.java
+++ b/deeplearning4j/deeplearning4j-graph/src/test/java/org/deeplearning4j/graph/models/deepwalk/TestGraphHuffman.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.graph.models.deepwalk;
 
diff --git a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/pom.xml b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/pom.xml
index 86c3e23d6..c82907b64 100644
--- a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/pom.xml
+++ b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/pom.xml
@@ -1,37 +1,40 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-manifold
         org.deeplearning4j
+        deeplearning4j-manifold
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-tsne
     jar
 
     deeplearning4j-tsne
-    http://maven.apache.org
-
-    
-        UTF-8
-    
 
     
         
@@ -55,7 +58,6 @@
             nd4j-api
             ${nd4j.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
diff --git a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java
index 8cd984044..07577629c 100644
--- a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java
+++ b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.plot;
 
@@ -55,13 +59,6 @@ import static org.nd4j.linalg.ops.transforms.Transforms.pow;
 import static org.nd4j.linalg.ops.transforms.Transforms.sign;
 
 
-/**
- * Barnes hut algorithm for TSNE, uses a dual tree approximation approach.
- * Work based on:
- * http://lvdmaaten.github.io/tsne/
- * For hight dimensions, it's recommended to reduce the dimension up to 50 using another method (PCA or other)
- * @author Adam Gibson
- */
 @Slf4j
 @Data
 public class BarnesHutTsne implements Model {
diff --git a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/Tsne.java b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/Tsne.java
index 18061674f..20a439de9 100644
--- a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/Tsne.java
+++ b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/Tsne.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.plot;
 
@@ -41,13 +45,6 @@ import java.util.List;
 import static org.nd4j.linalg.factory.Nd4j.*;
 import static org.nd4j.linalg.ops.transforms.Transforms.*;
 
-/**
- * dl4j port of original t-sne algorithm described/implemented by van der Maaten and Hinton
- *
- *
- * @author raver119@gmail.com
- * @author Adam Gibson
- */
 public class Tsne {
     protected int maxIter = 1000;
     protected double realMin = Nd4j.EPS_THRESHOLD;
diff --git a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/Test6058.java b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/Test6058.java
index 3359e729f..32ce5d06d 100644
--- a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/Test6058.java
+++ b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/Test6058.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.plot;
 
diff --git a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/TsneTest.java b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/TsneTest.java
index faaa0943d..2b34d1b33 100644
--- a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/TsneTest.java
+++ b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/test/java/org/deeplearning4j/plot/TsneTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //package org.deeplearning4j.plot;
 //
diff --git a/deeplearning4j/deeplearning4j-manifold/pom.xml b/deeplearning4j/deeplearning4j-manifold/pom.xml
index 6e1a8cd42..30a426733 100644
--- a/deeplearning4j/deeplearning4j-manifold/pom.xml
+++ b/deeplearning4j/deeplearning4j-manifold/pom.xml
@@ -1,41 +1,45 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-manifold
     pom
 
     deeplearning4j-manifold
+
     
         deeplearning4j-tsne
     
 
-
-    
-
-    
-
     
         
             test-nd4j-native
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/pom.xml b/deeplearning4j/deeplearning4j-modelexport-solr/pom.xml
index bcbbd3755..53e9cdad8 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/pom.xml
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/pom.xml
@@ -1,31 +1,39 @@
 
+
 
-
+
 
-
-    deeplearning4j-modelexport-solr
     4.0.0
+
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
+
+    deeplearning4j-modelexport-solr
     jar
+
     
         
             
@@ -33,7 +41,9 @@
                     org.apache.maven.plugins
                     maven-surefire-plugin
                     
-                        -Ddtype=float -Dfile.encoding=UTF-8 -Xmx8g -Dtest.solr.allowed.securerandom=NativePRNG
+                        -Ddtype=float -Dfile.encoding=UTF-8 -Xmx8g
+                            -Dtest.solr.allowed.securerandom=NativePRNG
+                        
                         
                             
                             *.java
@@ -133,7 +143,7 @@
         
             com.google.protobuf
             protobuf-java
-            ${google.protobuf.version}
+            ${google.protobuf.solr.version}
         
         
             com.tdunning
@@ -276,8 +286,7 @@
         
         
             junit
-            junit          
-            test
+            junit
         
         
             org.apache.solr
@@ -299,7 +308,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
@@ -312,5 +320,4 @@
             
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStream.java b/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStream.java
index 2dd353dec..ff7e0b319 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStream.java
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStream.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelexport.solr.handler;
 
@@ -42,34 +46,6 @@ import org.deeplearning4j.util.NetworkUtils;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * A 
- * org.apache.solr.client.solrj.io.stream.TupleStream that uses a {@link Model} to compute output scores.
- * Tuple
- * fields are the model inputs and the model output(s) are added to the returned tuple.
- * 

- * Illustrative configuration snippet:
- * 
-  <expressible name="emailModel" class="org.deeplearning4j.nn.modelexport.solr.handler.ModelTupleStream"/>
-

- * 

- * Illustrative expression snippet:
- * 
-  emailModel(search(myCollection,
-                    q="*:*",
-                    fl="id,fieldX,fieldY,fieldZ",
-                    sort="id asc",
-                    qt="/export"),
-             serializedModelFileName="mySerializedModel",
-             inputKeys="fieldX,fieldY,fieldZ",
-             outputKeys="modelScoreField1,modelScoreField2")
-

- * 

- * Apache Solr Reference Guide:
- * 

- */
 public class ModelTupleStream extends TupleStream implements Expressible {
 
   final private static String SERIALIZED_MODEL_FILE_NAME_PARAM = "serializedModelFileName";
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModel.java b/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModel.java
index 60aac48c2..eae9d3212 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModel.java
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/main/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModel.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelexport.solr.ltr.model;
 
@@ -37,30 +41,6 @@ import org.deeplearning4j.util.NetworkUtils;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * An 
- * org.apache.solr.ltr.model.LTRScoringModel that computes scores using a {@link MultiLayerNetwork} or
- * {@link ComputationGraph} model.
- * 

- * Example configuration (snippet):
- * 
{
-  "class" : "org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel",
-  "name" : "myModel",
-  "features" : [
-    { "name" : "documentRecency", ... },
-    { "name" : "isBook", ... },
-    { "name" : "originalScore", ... }
-  ],
-  "params" : {
-    "serializedModelFileName" : "mySerializedModel"
-  }
-}

- * 

- * Apache Solr Reference Guide:
- * 

- */
 public class ScoringModel extends AdapterModel {
 
   private String serializedModelFileName;
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamIntegrationTest.java b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamIntegrationTest.java
index 31633889a..3aa714f02 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamIntegrationTest.java
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamIntegrationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelexport.solr.handler;
 
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamTest.java b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamTest.java
index dbbe6b880..ccd365ff6 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamTest.java
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/handler/ModelTupleStreamTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelexport.solr.handler;
 
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModelTest.java b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModelTest.java
index 37d58312d..dfe00c93c 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModelTest.java
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/java/org/deeplearning4j/nn/modelexport/solr/ltr/model/ScoringModelTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelexport.solr.ltr.model;
 
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/schema.xml b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/schema.xml
index 42af336ed..f8bdcee17 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/schema.xml
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/schema.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/solrconfig.xml b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/solrconfig.xml
index 61e5b4ea9..34074de14 100644
--- a/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/solrconfig.xml
+++ b/deeplearning4j/deeplearning4j-modelexport-solr/src/test/resources/solr/configsets/mini-expressible/conf/solrconfig.xml
@@ -1,25 +1,23 @@
 
-
-
 
+  ~ /* ******************************************************************************
+  ~  *
+  ~  *
+  ~  * This program and the accompanying materials are made available under the
+  ~  * terms of the Apache License, Version 2.0 which is available at
+  ~  * https://www.apache.org/licenses/LICENSE-2.0.
+  ~  *
+  ~  *  See the NOTICE file distributed with this work for additional
+  ~  *  information regarding copyright ownership.
+  ~  * Unless required by applicable law or agreed to in writing, software
+  ~  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+  ~  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+  ~  * License for the specific language governing permissions and limitations
+  ~  * under the License.
+  ~  *
+  ~  * SPDX-License-Identifier: Apache-2.0
+  ~  ******************************************************************************/
+  -->
 
 
   7.7.1
diff --git a/deeplearning4j/deeplearning4j-modelimport/pom.xml b/deeplearning4j/deeplearning4j-modelimport/pom.xml
index 4bbb32806..5c08021e9 100644
--- a/deeplearning4j/deeplearning4j-modelimport/pom.xml
+++ b/deeplearning4j/deeplearning4j-modelimport/pom.xml
@@ -1,90 +1,89 @@
-
+
+
+
+
 
-
-    deeplearning4j-modelimport
     4.0.0
+
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
+
+    deeplearning4j-modelimport
     jar
 
     
         
             org.slf4j
-            slf4j-api          
+            slf4j-api
         
-
         
             org.nd4j
             nd4j-api
             ${nd4j.version}
         
-
         
             com.google.code.gson
             gson
             ${gson.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-nn
             ${project.version}
         
-
         
             org.nd4j
             jackson
             ${nd4j.version}
         
-
         
             org.bytedeco
             javacpp
             ${javacpp.version}
         
-
         
             org.bytedeco
             hdf5-platform
             ${hdf5.version}-${javacpp-presets.version}
         
-
         
             org.projectlombok
             lombok
             ${lombok.version}
             provided
         
-
         
             org.deeplearning4j
             deeplearning4j-common
             ${project.version}
         
-
         
         
             junit
-            junit          
-            test
+            junit
         
         
             org.deeplearning4j
@@ -92,31 +91,27 @@
             ${project.version}
             test
         
-
         
             ch.qos.logback
-            logback-classic 
+            logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-datavec-iterators
             ${project.version}
             test
         
-
         
             org.nd4j
             nd4j-tensorflow
             ${nd4j.version}
             test
         
-
         
-            org.datavec
-            datavec-python
-            ${datavec.version}
+            org.nd4j
+            python4j-numpy
+            ${project.version}
             test
         
     
@@ -133,7 +128,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
@@ -146,5 +140,4 @@
             
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/Hdf5Archive.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/Hdf5Archive.java
index 73a9a26ea..0e4ccd44f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/Hdf5Archive.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/Hdf5Archive.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
@@ -35,15 +39,6 @@ import java.util.List;
 
 import static org.bytedeco.hdf5.global.hdf5.*;
 
-/**
- * Class for reading ND4J arrays and JSON strings from HDF5 archive files.
- *
- * HDF5 is really sensitive about the order its resources are deallocated in.
- * Make sure to ALWAYS call {@link #close()} explicitly or with try-with-resources,
- * or it might decide to crash the JVM.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 public class Hdf5Archive implements Closeable {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasLayer.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasLayer.java
index 056465dac..5c8c829c4 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasLayer.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasLayer.java
@@ -1,21 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
+import lombok.Getter;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.lang3.StringUtils;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
@@ -36,11 +41,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.*;
 
-/**
- * Build Layer from Keras layer configuration.
- *
- * @author dave@skymind.io, Max Pumperla
- */
 @Slf4j
 public class KerasLayer {
 
@@ -56,6 +56,7 @@ public class KerasLayer {
     protected int[] inputShape; // Keras layer input shape
     protected DimOrder dimOrder; // Keras layer backend dimension order
     protected List inboundLayerNames; // List of inbound layers
+    protected List outboundLayerNames; //List of outbound layers
     protected Layer layer; // Resulting DL4J layer
     protected GraphVertex vertex; // Resulting DL4J vertex
     protected Map weights; // Weights
@@ -64,7 +65,8 @@ public class KerasLayer {
     protected double dropout = 1.0; // Dropout
     protected Integer kerasMajorVersion = 2; // Set 2 as default for now
     protected KerasLayerConfiguration conf;
-
+    @Getter
+    protected  Map originalLayerConfig;
 
     /**
      * Constructor with Keras version only.
@@ -78,6 +80,7 @@ public class KerasLayer {
         this.inputShape = null;
         this.dimOrder = DimOrder.NONE;
         this.inboundLayerNames = new ArrayList<>();
+        this.outboundLayerNames = new ArrayList<>();
         this.layer = null;
         this.vertex = null;
         this.weights = null;
@@ -96,6 +99,7 @@ public class KerasLayer {
         this.inputShape = null;
         this.dimOrder = DimOrder.NONE;
         this.inboundLayerNames = new ArrayList<>();
+        this.outboundLayerNames = new ArrayList<>();
         this.layer = null;
         this.vertex = null;
         this.weights = null;
@@ -124,6 +128,7 @@ public class KerasLayer {
      */
     protected KerasLayer(Map layerConfig, boolean enforceTrainingConfig)
             throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
+        this.originalLayerConfig = layerConfig;
         this.kerasMajorVersion = (Integer) layerConfig.get(LAYER_FIELD_KERAS_VERSION);
         this.conf = KerasLayerConfigurationFactory.get(this.kerasMajorVersion);
         this.className = KerasLayerUtils.getClassNameFromConfig(layerConfig, conf);
@@ -135,6 +140,7 @@ public class KerasLayer {
         this.inputShape = KerasLayerUtils.getInputShapeFromConfig(layerConfig, conf);
         this.dimOrder = KerasLayerUtils.getDimOrderFromConfig(layerConfig, conf);
         this.inboundLayerNames = KerasLayerUtils.getInboundLayerNamesFromConfig(layerConfig, conf);
+        this.outboundLayerNames = KerasLayerUtils.getOutboundLayerNamesFromConfig(layerConfig,conf);
         this.layer = null;
         this.vertex = null;
         this.weights = null;
@@ -449,10 +455,29 @@ public class KerasLayer {
     public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException {
         InputPreProcessor preprocessor = null;
         if (this.layer != null) {
-            if (inputType.length > 1)
-                throw new InvalidKerasConfigurationException(
-                        "Keras layer of type \"" + this.className + "\" accepts only one input");
-            preprocessor = this.layer.getPreProcessorForInputType(inputType[0]);
+            if (inputType.length > 1) {
+                InputType toUse = null;
+                for(int i = 0; i < inputType.length; i++) {
+                    if(inputType[i] != null) {
+                        if(toUse == null)
+                            toUse = inputType[i];
+                        else if(!toUse.equals(inputType[i])) {
+                            throw new InvalidKerasConfigurationException(
+                                    "Keras layer of type \"" + this.className + "\" accepts only one input");
+                        }
+                    }
+                }
+
+                if(toUse == null) {
+                    throw new InvalidKerasConfigurationException(
+                            "Keras layer of type \"" + this.className + " did not have any inputs!");
+                }
+
+                preprocessor = this.layer.getPreProcessorForInputType(toUse);
+
+            }
+            else
+                preprocessor = this.layer.getPreProcessorForInputType(inputType[0]);
         }
         return preprocessor;
     }
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModel.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModel.java
index 7fefc6af6..4efd8eb24 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModel.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModel.java
@@ -1,27 +1,33 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
 import lombok.Data;
 import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.collections4.set.ListOrderedSet;
 import org.deeplearning4j.nn.conf.*;
 import org.deeplearning4j.nn.conf.graph.PreprocessorVertex;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.layers.Layer;
+import org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.modelimport.keras.config.KerasLayerConfiguration;
 import org.deeplearning4j.nn.modelimport.keras.config.KerasModelConfiguration;
@@ -29,6 +35,7 @@ import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurat
 import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
 import org.deeplearning4j.nn.modelimport.keras.layers.KerasInput;
 import org.deeplearning4j.nn.modelimport.keras.layers.KerasLoss;
+import org.deeplearning4j.nn.modelimport.keras.layers.core.KerasLambda;
 import org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLSTM;
 import org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasRnnUtils;
 import org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn;
@@ -37,24 +44,20 @@ import org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder;
 import org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils;
 import org.deeplearning4j.nn.modelimport.keras.utils.KerasOptimizerUtils;
 import org.deeplearning4j.util.ConvolutionUtils;
+import org.nd4j.autodiff.samediff.internal.DependencyList;
+import org.nd4j.autodiff.samediff.internal.DependencyTracker;
+import org.nd4j.common.primitives.Counter;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.linalg.learning.config.IUpdater;
+import org.nd4j.shade.guava.collect.Lists;
+import org.tensorflow.framework.NodeDef;
 
 import java.io.IOException;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
+import java.util.*;
 
 import static org.deeplearning4j.nn.modelimport.keras.KerasLayer.customLayers;
 import static org.deeplearning4j.nn.modelimport.keras.KerasLayer.lambdaLayers;
 
-/**
- * Build ComputationGraph from Keras (Functional API) Model or
- * Sequential model configuration.
- *
- * @author dave@skymind.io, Max Pumperla
- */
 @Slf4j
 @Data
 public class KerasModel {
@@ -128,9 +131,9 @@ public class KerasModel {
             throw new InvalidKerasConfigurationException(
                     "Could not determine Keras model class (no " + config.getFieldClassName() + " field found)");
         this.className = (String) modelConfig.get(config.getFieldClassName());
-        if (!this.className.equals(config.getFieldClassNameModel()))
+        if (!this.className.equals(config.getFieldClassNameModel()) && !this.className.equals(config.getFieldNameClassFunctional()))
             throw new InvalidKerasConfigurationException(
-                    "Expected model class name " + config.getFieldClassNameModel() + " (found " + this.className + ")");
+                    "Expected model class name " + config.getFieldClassNameModel() + " or " + config.getFieldNameClassFunctional() + " (found " + this.className + ")");
 
 
         /* Retrieve lists of input and output layers, layer configurations. */
@@ -228,253 +231,405 @@ public class KerasModel {
             if (layer instanceof KerasSimpleRnn)
                 this.useTruncatedBPTT = this.useTruncatedBPTT || ((KerasSimpleRnn) layer).getUnroll();
         }
-        return new Pair<>(layers, layersOrdered);
-    }
 
-    Map getOptimizerConfig(Map trainingConfig) throws InvalidKerasConfigurationException{
-        if (!trainingConfig.containsKey(config.getOptimizerConfig()))
-            throw new InvalidKerasConfigurationException("Field "
-                    + config.getOptimizerConfig() + " missing from layer config");
-        return (Map) trainingConfig.get(config.getOptimizerConfig());
-    }
+        List names = new ArrayList<>();
+        //set of names of lambda nodes
+        Set lambdaNames = new HashSet<>();
 
-    /**
-     * Helper method called from constructor. Incorporate training configuration details into model.
-     * Includes loss function, optimization details, etc.
-     *
-     * @param trainingConfigJson JSON containing Keras training configuration
-     * @throws IOException                            IO exception
-     * @throws InvalidKerasConfigurationException     Invalid Keras config
-     * @throws UnsupportedKerasConfigurationException Unsupported Keras config
-     */
-    void importTrainingConfiguration(String trainingConfigJson)
+        //node inputs by name for looking up which nodes to do replacements for (useful since indices of nodes can change)
+        Map> nodesOutputToForLambdas = new HashMap<>();
+        for(int i = 0; i < layers.size(); i++) {
+            names.add(layersOrdered.get(i).getLayerName());
+            if(layersOrdered.get(i) instanceof KerasLambda) {
+                lambdaNames.add(layersOrdered.get(i).getLayerName());
+            }
+        }
+
+        Map> replacementNamesForLambda = new HashMap<>();
+        Map updatedOrders = new HashMap<>();
+        for(int i = 0; i < layersOrdered.size(); i++) {
+            KerasLayer kerasLayer = layers.get(names.get(i));
+            List tempCopyNames = new ArrayList<>(kerasLayer.getInboundLayerNames());
+            List removed = new ArrayList<>();
+
+            for(String input : tempCopyNames) {
+                //found a lambda where an input occurs, record the index for input
+                if(lambdaNames.contains(input)) {
+                    if(!nodesOutputToForLambdas.containsKey(input)) {
+                        nodesOutputToForLambdas.put(input,new ArrayList());
+                    }
+
+                    nodesOutputToForLambdas.get(input).add(kerasLayer.getLayerName());
+                }
+                //potential loop found
+                int indexOfInput = names.indexOf(input);
+                if(indexOfInput > i) {
+                    KerasLambda originalLambda = (KerasLambda) kerasLayer;
+                    Map configCopy = new HashMap(kerasLayer.originalLayerConfig);
+                    String newName = kerasLayer.getLayerName() + "-" + input;
+                    if(!replacementNamesForLambda.containsKey(originalLambda.layerName)) {
+                        replacementNamesForLambda.put(originalLambda.layerName,new ArrayList());
+                    }
+                    configCopy.put(kerasLayer.conf.getLAYER_FIELD_NAME(),newName);
+                    replacementNamesForLambda.get(originalLambda.layerName).add(newName);
+                    SameDiffLambdaLayer sameDiffLambdaLayer = (SameDiffLambdaLayer) originalLambda.getSameDiffLayer().clone();
+                    sameDiffLambdaLayer.setLayerName(newName);
+                    KerasLambda kerasLambda = new KerasLambda(configCopy,sameDiffLambdaLayer);
+                    kerasLambda.layerName = newName;
+                    kerasLambda.setInboundLayerNames(new ArrayList<>(Arrays.asList(input)));
+                    layers.put(newName,kerasLambda);
+                    int indexOfNewLayer = names.indexOf(input) + 1;
+                    updatedOrders.put(indexOfNewLayer,kerasLambda);
+                    names.add(indexOfNewLayer,newName);
+                    removed.add(input);
+                    System.out.println("Found input " + input + " at keras node " + names.get(i) + " with potential cycle.");
+
+                }
+            }
+
+            kerasLayer.getInboundLayerNames().removeAll(removed);
+        }
+
+
+
+
+        //update the list with all the new layers
+        for(Map.Entry newLayers : updatedOrders.entrySet()) {
+            layersOrdered.add(newLayers.getKey(),newLayers.getValue());
+        }
+
+        List oldNames = new ArrayList<>(names);
+
+        names.clear();
+        //old names are used for checking distance from old nodes to new ones
+        //node inputs by name for looking up which nodes to do replacements for (useful since indices of nodes can change)
+        if(!replacementNamesForLambda.isEmpty()) {
+            for (Map.Entry> replacementEntry : replacementNamesForLambda.entrySet()) {
+                List nodesToReplaceInputNamesWith = nodesOutputToForLambdas.get(replacementEntry.getKey());
+                Set processed = new HashSet<>();
+                for (String nodeName : nodesToReplaceInputNamesWith) {
+                    KerasLayer kerasLayer = layers.get(nodeName);
+                    boolean shouldBeOriginal = true;
+                    if (!processed.isEmpty()) {
+                        for (String process : processed) {
+                            if (kerasLayer.getInboundLayerNames().contains(process)) {
+                                shouldBeOriginal = false;
+                                break;
+                            }
+                        }
+                    }
+
+                    List nearestNodes = findNearestNodesTo(replacementEntry.getKey(), nodeName, replacementEntry.getValue(), oldNames, 2);
+                    //if the original isn't in the closest top 2 nodes, then we shouldn't replace it
+                    if (nodesToReplaceInputNamesWith.size() > 1) {
+                        if (!nearestNodes.contains(replacementEntry.getKey())) {
+                            shouldBeOriginal = false;
+                        }
+                    }
+
+                    //layers that contain an already processed
+                    //node as an input need modification
+                    if (shouldBeOriginal) {
+                        processed.add(nodeName);
+                        continue;
+                    }
+
+                    //replace whatever the final input name is that was last
+                    kerasLayer.getInboundLayerNames().set(kerasLayer.getInboundLayerNames()
+                            .indexOf(replacementEntry.getKey()), nearestNodes.get(0));
+
+                    processed.add(nodeName);
+
+
+                }
+            }
+        }
+
+
+            layers.clear();
+            for(KerasLayer kerasLayer : layersOrdered) {
+                layers.put(kerasLayer.getLayerName(),kerasLayer);
+            }
+
+            return new Pair<>(layers, layersOrdered);
+        }
+
+        List findNearestNodesTo(String original,String target,List targetedNodes,List topoSortNodes,int k) {
+            List ret = new ArrayList<>();
+            int idx = topoSortNodes.indexOf(target);
+            Counter rankByDistance = new Counter<>();
+
+            for(int i = 0; i < targetedNodes.size(); i++) {
+                int currIdx = topoSortNodes.indexOf(targetedNodes.get(i));
+                int diff = Math.abs(currIdx - idx);
+                //note we want the top k ranked by the least
+                rankByDistance.incrementCount(targetedNodes.get(i),-diff);
+            }
+
+            int currIdx = topoSortNodes.indexOf(original);
+            int diff = Math.abs(currIdx - idx);
+            //note we want the top k ranked by the least
+            rankByDistance.incrementCount(original,-diff);
+            rankByDistance.keepTopNElements(k);
+            return rankByDistance.keySetSorted();
+        }
+
+        Map getOptimizerConfig(Map trainingConfig) throws InvalidKerasConfigurationException{
+            if (!trainingConfig.containsKey(config.getOptimizerConfig()))
+                throw new InvalidKerasConfigurationException("Field "
+                        + config.getOptimizerConfig() + " missing from layer config");
+            return (Map) trainingConfig.get(config.getOptimizerConfig());
+        }
+
+        /**
+         * Helper method called from constructor. Incorporate training configuration details into model.
+         * Includes loss function, optimization details, etc.
+         *
+         * @param trainingConfigJson JSON containing Keras training configuration
+         * @throws IOException                            IO exception
+         * @throws InvalidKerasConfigurationException     Invalid Keras config
+         * @throws UnsupportedKerasConfigurationException Unsupported Keras config
+         */
+        void importTrainingConfiguration(String trainingConfigJson)
             throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
-        Map trainingConfig = KerasModelUtils.parseJsonString(trainingConfigJson);
+            Map trainingConfig = KerasModelUtils.parseJsonString(trainingConfigJson);
 
-        Map optimizerConfig = getOptimizerConfig(trainingConfig);
-        this.optimizer = KerasOptimizerUtils.mapOptimizer(optimizerConfig);
+            Map optimizerConfig = getOptimizerConfig(trainingConfig);
+            this.optimizer = KerasOptimizerUtils.mapOptimizer(optimizerConfig);
 
-        /* Add loss layers for each loss function. */
-        List lossLayers = new ArrayList<>();
-        if (!trainingConfig.containsKey(config.getTrainingLoss()))
-            throw new InvalidKerasConfigurationException("Could not determine training loss function (no "
-                    + config.getTrainingLoss() + " field found in training config)");
-        Object kerasLossObj = trainingConfig.get(config.getTrainingLoss());
+            /* Add loss layers for each loss function. */
+            List lossLayers = new ArrayList<>();
+            if (!trainingConfig.containsKey(config.getTrainingLoss()))
+                throw new InvalidKerasConfigurationException("Could not determine training loss function (no "
+                        + config.getTrainingLoss() + " field found in training config)");
+            Object kerasLossObj = trainingConfig.get(config.getTrainingLoss());
 
-        if (kerasLossObj instanceof String) {
-            String kerasLoss = (String) kerasLossObj;
-            for (String outputLayerName : this.outputLayerNames)
-                lossLayers.add(new KerasLoss(outputLayerName + "_loss", outputLayerName, kerasLoss));
-        } else if (kerasLossObj instanceof Map) {
-            Map kerasLossMap = (Map) kerasLossObj;
-            for (String outputLayerName : kerasLossMap.keySet()) {
-                Object kerasLoss = kerasLossMap.get(outputLayerName);
-                if (kerasLoss instanceof String)
-                    lossLayers.add(new KerasLoss(outputLayerName + "_loss", outputLayerName, (String) kerasLoss));
-                else
-                    throw new InvalidKerasConfigurationException("Unknown Keras loss " + kerasLoss.toString());
+            if (kerasLossObj instanceof String) {
+                String kerasLoss = (String) kerasLossObj;
+                for (String outputLayerName : this.outputLayerNames)
+                    lossLayers.add(new KerasLoss(outputLayerName + "_loss", outputLayerName, kerasLoss));
+            } else if (kerasLossObj instanceof Map) {
+                Map kerasLossMap = (Map) kerasLossObj;
+                for (String outputLayerName : kerasLossMap.keySet()) {
+                    Object kerasLoss = kerasLossMap.get(outputLayerName);
+                    if (kerasLoss instanceof String)
+                        lossLayers.add(new KerasLoss(outputLayerName + "_loss", outputLayerName, (String) kerasLoss));
+                    else
+                        throw new InvalidKerasConfigurationException("Unknown Keras loss " + kerasLoss.toString());
+                }
+            }
+            this.outputLayerNames.clear();
+
+            /* Add loss layers to output layer list and layer graph. */
+            for (KerasLayer lossLayer : lossLayers) {
+                this.layersOrdered.add(lossLayer);
+                this.layers.put(lossLayer.getLayerName(), lossLayer);
+                this.outputLayerNames.add(lossLayer.getLayerName());
             }
         }
-        this.outputLayerNames.clear();
 
-        /* Add loss layers to output layer list and layer graph. */
-        for (KerasLayer lossLayer : lossLayers) {
-            this.layersOrdered.add(lossLayer);
-            this.layers.put(lossLayer.getLayerName(), lossLayer);
-            this.outputLayerNames.add(lossLayer.getLayerName());
-        }
-    }
-
-    /**
-     * Helper method called from constructor. Infers and records output type
-     * for every layer.
-     */
-    Map inferOutputTypes(int[] inputShape)
+        /**
+         * Helper method called from constructor. Infers and records output type
+         * for every layer.
+         */
+        Map inferOutputTypes(int[] inputShape)
             throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
-        Map outputTypes = new HashMap<>();
-        int kerasLayerIdx = 0;
-        for (KerasLayer layer : this.layersOrdered) {
-            InputType outputType;
-            if (layer instanceof KerasInput) {
-                if (inputShape != null && layer.inputShape == null) {
-                    layer.inputShape = inputShape;
-                }
-
-                KerasInput kerasInput = (KerasInput) layer;
-                Layer layer1 = layersOrdered.get(kerasLayerIdx + 1).layer;
-                //no dim order, try to pull it from the next layer if there is one
-                if(ConvolutionUtils.layerHasConvolutionLayout(layer1)) {
-                    CNN2DFormat formatForLayer = ConvolutionUtils.getFormatForLayer(layer1);
-                    if(formatForLayer == CNN2DFormat.NCHW) {
-                        dimOrder = KerasLayer.DimOrder.THEANO;
-                    }  else if(formatForLayer == CNN2DFormat.NHWC) {
-                        dimOrder = KerasLayer.DimOrder.TENSORFLOW;
-                    } else {
-                        dimOrder = KerasLayer.DimOrder.NONE;
+            Map outputTypes = new HashMap<>();
+            int kerasLayerIdx = 0;
+            for (KerasLayer layer : this.layersOrdered) {
+                InputType outputType;
+                if (layer instanceof KerasInput) {
+                    if (inputShape != null && layer.inputShape == null) {
+                        layer.inputShape = inputShape;
                     }
-                } else if(KerasRnnUtils.isRnnLayer(layersOrdered.get(kerasLayerIdx + 1))) {
-                    if(kerasInput.inputShape == null)
-                        kerasInput.inputShape =  layersOrdered.get(kerasLayerIdx + 1).inputShape;
+
+                    KerasInput kerasInput = (KerasInput) layer;
+                    Layer layer1 = layersOrdered.get(kerasLayerIdx + 1).layer;
+                    //no dim order, try to pull it from the next layer if there is one
+                    if(ConvolutionUtils.layerHasConvolutionLayout(layer1)) {
+                        CNN2DFormat formatForLayer = ConvolutionUtils.getFormatForLayer(layer1);
+                        if(formatForLayer == CNN2DFormat.NCHW) {
+                            dimOrder = KerasLayer.DimOrder.THEANO;
+                        }  else if(formatForLayer == CNN2DFormat.NHWC) {
+                            dimOrder = KerasLayer.DimOrder.TENSORFLOW;
+                        } else {
+                            dimOrder = KerasLayer.DimOrder.NONE;
+                        }
+                    } else if(KerasRnnUtils.isRnnLayer(layersOrdered.get(kerasLayerIdx + 1))) {
+                        if(kerasInput.inputShape == null)
+                            kerasInput.inputShape =  layersOrdered.get(kerasLayerIdx + 1).inputShape;
+                    }
+
+                    if(dimOrder != null)
+                        layer.setDimOrder(dimOrder);
+                    outputType = layer.getOutputType();
+                    this.truncatedBPTT = ((KerasInput) layer).getTruncatedBptt();
+                } else {
+                    List inputTypes = new ArrayList<>();
+                    int i = 0;
+                    for (String inboundLayerName : layer.getInboundLayerNames())
+                        if(outputTypes.containsKey(inboundLayerName))
+                            inputTypes.add(outputTypes.get(inboundLayerName));
+                    outputType = layer.getOutputType(inputTypes.toArray(new InputType[1]));
                 }
-
-                if(dimOrder != null)
-                    layer.setDimOrder(dimOrder);
-                outputType = layer.getOutputType();
-                this.truncatedBPTT = ((KerasInput) layer).getTruncatedBptt();
-            } else {
-                InputType[] inputTypes = new InputType[layer.getInboundLayerNames().size()];
-                int i = 0;
-                for (String inboundLayerName : layer.getInboundLayerNames())
-                    inputTypes[i++] = outputTypes.get(inboundLayerName);
-                outputType = layer.getOutputType(inputTypes);
-
-
+                outputTypes.put(layer.getLayerName(), outputType);
+                kerasLayerIdx++;
             }
-            outputTypes.put(layer.getLayerName(), outputType);
-            kerasLayerIdx++;
+
+            return outputTypes;
         }
 
-        return outputTypes;
-    }
-
-    /**
-     * Configure a ComputationGraph from this Keras Model configuration.
-     *
-     * @return ComputationGraph
-     */
-    public ComputationGraphConfiguration getComputationGraphConfiguration()
+        /**
+         * Configure a ComputationGraph from this Keras Model configuration.
+         *
+         * @return ComputationGraph
+         */
+        public ComputationGraphConfiguration getComputationGraphConfiguration()
             throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
-        if (!this.className.equals(config.getFieldClassNameModel()) && !this.className.equals(config.getFieldClassNameSequential()))
+            if (!this.className.equals(config.getFieldClassNameModel())
+                    && !this.className.equals(config.getFieldClassNameSequential())
+                    && !this.className.equals(config.getFieldNameClassFunctional()))
+                throw new InvalidKerasConfigurationException(
+                        "Keras model class name " + this.className + " incompatible with ComputationGraph");
+            NeuralNetConfiguration.Builder modelBuilder = new NeuralNetConfiguration.Builder();
 
-            throw new InvalidKerasConfigurationException(
-                    "Keras model class name " + this.className + " incompatible with ComputationGraph");
-        NeuralNetConfiguration.Builder modelBuilder = new NeuralNetConfiguration.Builder();
+            if (optimizer != null) {
+                modelBuilder.updater(optimizer);
+            }
 
-        if (optimizer != null) {
-            modelBuilder.updater(optimizer);
-        }
-
-        ComputationGraphConfiguration.GraphBuilder graphBuilder = modelBuilder.graphBuilder();
-        // NOTE: normally this is disallowed in DL4J. However, in Keras you can create disconnected graph vertices.
-        // The responsibility for doing this correctly is that of the Keras user.
-        graphBuilder.allowDisconnected(true);
-
-
-        /* Build String array of input layer names, add to ComputationGraph. */
-        String[] inputLayerNameArray = new String[this.inputLayerNames.size()];
-        this.inputLayerNames.toArray(inputLayerNameArray);
-        graphBuilder.addInputs(inputLayerNameArray);
-
-        /* Build InputType array of input layer types, add to ComputationGraph. */
-        List inputTypeList = new ArrayList<>();
-        List initialInputTypes = new ArrayList<>();
-        for (String inputLayerName : this.inputLayerNames) {
-            this.layers.get(inputLayerName);
-            inputTypeList.add(this.layers.get(inputLayerName).getOutputType());
-
-        }
-
-
-        /* Build String array of output layer names, add to ComputationGraph. */
-        String[] outputLayerNameArray = new String[this.outputLayerNames.size()];
-        this.outputLayerNames.toArray(outputLayerNameArray);
-        graphBuilder.setOutputs(outputLayerNameArray);
-
-        Map preprocessors = new HashMap<>();
-
-        /* Add layersOrdered one at a time. */
-        for (KerasLayer layer : this.layersOrdered) {
-            /* Get inbound layer names. */
-            List inboundLayerNames = layer.getInboundLayerNames();
-            String[] inboundLayerNamesArray = new String[inboundLayerNames.size()];
-            inboundLayerNames.toArray(inboundLayerNamesArray);
-
-            List inboundTypeList = new ArrayList<>();
-
-            /* Get inbound InputTypes and InputPreProcessor, if necessary. */
-            if(!inboundLayerNames.isEmpty()) {
-                InputType[] inputTypes2 = new InputType[inboundLayerNames.size()];
-                int inboundIdx = 0;
-                for (String layerName : inboundLayerNames) {
-                    KerasLayer prevLayer = layers.get(layerName);
-                    if(prevLayer.isInputPreProcessor()) {
-                        InputType inputType = this.outputTypes.get(layerName);
-                        InputPreProcessor preprocessor = prevLayer.getInputPreprocessor(inputType);
-                        InputType outputType = preprocessor.getOutputType(inputType);
-                        inputTypes2[inboundIdx] = outputType;
-                        inboundIdx++;
-                    }
-                    else {
-                        InputType inputType = this.outputTypes.get(layerName);
-                        inputTypes2[inboundIdx] = inputType;
-                        inboundIdx++;
+            Map> outputs = new HashMap<>();
+            for (KerasLayer layer : Lists.reverse(this.layersOrdered)) {
+                for(String input : layer.getInboundLayerNames()) {
+                    if(!outputs.containsKey(input)) {
+                        outputs.put(input,new ArrayList());
                     }
 
-                    inboundTypeList.add(this.outputTypes.get(layerName));
+                    outputs.get(input).add(layer.getLayerName());
                 }
             }
 
-            InputType[] inboundTypeArray = new InputType[inboundTypeList.size()];
-            inboundTypeList.toArray(inboundTypeArray);
-            InputPreProcessor preprocessor = layer.getInputPreprocessor(inboundTypeArray);
+            ComputationGraphConfiguration.GraphBuilder graphBuilder = modelBuilder.graphBuilder();
+            // NOTE: normally this is disallowed in DL4J. However, in Keras you can create disconnected graph vertices.
+            // The responsibility for doing this correctly is that of the Keras user.
+            graphBuilder.allowDisconnected(true);
+
+
+            /* Build String array of input layer names, add to ComputationGraph. */
+            String[] inputLayerNameArray = new String[this.inputLayerNames.size()];
+            this.inputLayerNames.toArray(inputLayerNameArray);
+            graphBuilder.addInputs(inputLayerNameArray);
+
+            /* Build InputType array of input layer types, add to ComputationGraph. */
+            List inputTypeList = new ArrayList<>();
+            List initialInputTypes = new ArrayList<>();
+            for (String inputLayerName : this.inputLayerNames) {
+                this.layers.get(inputLayerName);
+                inputTypeList.add(this.layers.get(inputLayerName).getOutputType());
 
-            if (layer.isLayer()) {
-                if (preprocessor != null)
-                    preprocessors.put(layer.getLayerName(), preprocessor);
-                graphBuilder.addLayer(layer.getLayerName(), layer.getLayer(), inboundLayerNamesArray);
-            } else if (layer.isVertex()) { // Ignore "preprocessor" layers for now
-                if (preprocessor != null)
-                    preprocessors.put(layer.getLayerName(), preprocessor);
-                graphBuilder.addVertex(layer.getLayerName(), layer.getVertex(), inboundLayerNamesArray);
-            } else if (layer.isInputPreProcessor()) {
-                if (preprocessor == null)
-                    throw new UnsupportedKerasConfigurationException("Layer " + layer.getLayerName()
-                            + " could not be mapped to Layer, Vertex, or InputPreProcessor");
-                graphBuilder.addVertex(layer.getLayerName(), new PreprocessorVertex(preprocessor),
-                        inboundLayerNamesArray);
             }
 
-            if(layer instanceof KerasInput) {
-                initialInputTypes.add(this.outputTypes.get(layer.layerName));
+
+            /* Build String array of output layer names, add to ComputationGraph. */
+            String[] outputLayerNameArray = new String[this.outputLayerNames.size()];
+            this.outputLayerNames.toArray(outputLayerNameArray);
+            graphBuilder.setOutputs(outputLayerNameArray);
+
+            Map preprocessors = new HashMap<>();
+            /* Add layersOrdered one at a time. */
+            for (KerasLayer layer : this.layersOrdered) {
+                /* Get inbound layer names. */
+                List inboundLayerNames = layer.getInboundLayerNames();
+                String[] inboundLayerNamesArray = new String[inboundLayerNames.size()];
+                inboundLayerNames.toArray(inboundLayerNamesArray);
+
+                List inboundTypeList = new ArrayList<>();
+
+                /* Get inbound InputTypes and InputPreProcessor, if necessary. */
+                if(!inboundLayerNames.isEmpty()) {
+                    InputType[] inputTypes2 = new InputType[inboundLayerNames.size()];
+                    int inboundIdx = 0;
+                    for (String layerName : inboundLayerNames) {
+                        KerasLayer prevLayer = layers.get(layerName);
+                        if(prevLayer.isInputPreProcessor()) {
+                            InputType inputType = this.outputTypes.get(layerName);
+                            InputPreProcessor preprocessor = prevLayer.getInputPreprocessor(inputType);
+                            InputType outputType = preprocessor.getOutputType(inputType);
+                            inputTypes2[inboundIdx] = outputType;
+                            inboundIdx++;
+                        }
+                        else {
+                            InputType inputType = this.outputTypes.get(layerName);
+                            inputTypes2[inboundIdx] = inputType;
+                            inboundIdx++;
+                        }
+
+                        if(outputTypes.containsKey(layerName))
+                            inboundTypeList.add(this.outputTypes.get(layerName));
+                    }
+
+                }
+
+                InputType[] inboundTypeArray = new InputType[inboundTypeList.size()];
+                inboundTypeList.toArray(inboundTypeArray);
+                InputPreProcessor preprocessor = layer.getInputPreprocessor(inboundTypeArray);
+
+                if (layer.isLayer()) {
+                    if (preprocessor != null)
+                        preprocessors.put(layer.getLayerName(), preprocessor);
+                    graphBuilder.addLayer(layer.getLayerName(), layer.getLayer(), inboundLayerNamesArray);
+                } else if (layer.isVertex()) { // Ignore "preprocessor" layers for now
+                    if (preprocessor != null)
+                        preprocessors.put(layer.getLayerName(), preprocessor);
+                    graphBuilder.addVertex(layer.getLayerName(), layer.getVertex(), inboundLayerNamesArray);
+                } else if (layer.isInputPreProcessor()) {
+                    if (preprocessor == null)
+                        throw new UnsupportedKerasConfigurationException("Layer " + layer.getLayerName()
+                                + " could not be mapped to Layer, Vertex, or InputPreProcessor");
+                    graphBuilder.addVertex(layer.getLayerName(), new PreprocessorVertex(preprocessor),
+                            inboundLayerNamesArray);
+                }
+
+                if(layer instanceof KerasInput) {
+                    initialInputTypes.add(this.outputTypes.get(layer.layerName));
+                }
             }
+            graphBuilder.setInputPreProcessors(preprocessors);
+
+            /* Whether to use standard backprop (or BPTT) or truncated BPTT. */
+            if (this.useTruncatedBPTT && this.truncatedBPTT > 0)
+                graphBuilder.backpropType(BackpropType.TruncatedBPTT).tBPTTForwardLength(truncatedBPTT)
+                        .tBPTTBackwardLength(truncatedBPTT);
+            else
+                graphBuilder.backpropType(BackpropType.Standard);
+
+            ComputationGraphConfiguration build = graphBuilder.build();
+            //note we don't forcibly over ride inputs when doing keras import. They are already set.
+            build.addPreProcessors(false,initialInputTypes.toArray(new InputType[initialInputTypes.size()]));
+            return build;
         }
-        graphBuilder.setInputPreProcessors(preprocessors);
 
-        /* Whether to use standard backprop (or BPTT) or truncated BPTT. */
-        if (this.useTruncatedBPTT && this.truncatedBPTT > 0)
-            graphBuilder.backpropType(BackpropType.TruncatedBPTT).tBPTTForwardLength(truncatedBPTT)
-                    .tBPTTBackwardLength(truncatedBPTT);
-        else
-            graphBuilder.backpropType(BackpropType.Standard);
-
-        ComputationGraphConfiguration build = graphBuilder.build();
-        //note we don't forcibly over ride inputs when doing keras import. They are already set.
-        build.addPreProcessors(false,initialInputTypes.toArray(new InputType[initialInputTypes.size()]));
-        return build;
-    }
-
-    /**
-     * Build a ComputationGraph from this Keras Model configuration and import weights.
-     *
-     * @return ComputationGraph
-     */
-    public ComputationGraph getComputationGraph()
+        /**
+         * Build a ComputationGraph from this Keras Model configuration and import weights.
+         *
+         * @return ComputationGraph
+         */
+        public ComputationGraph getComputationGraph()
             throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
-        return getComputationGraph(true);
-    }
+            return getComputationGraph(true);
+        }
 
-    /**
-     * Build a ComputationGraph from this Keras Model configuration and (optionally) import weights.
-     *
-     * @param importWeights whether to import weights
-     * @return ComputationGraph
-     */
-    public ComputationGraph getComputationGraph(boolean importWeights)
+        /**
+         * Build a ComputationGraph from this Keras Model configuration and (optionally) import weights.
+         *
+         * @param importWeights whether to import weights
+         * @return ComputationGraph
+         */
+        public ComputationGraph getComputationGraph(boolean importWeights)
             throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
-        ComputationGraph model = new ComputationGraph(getComputationGraphConfiguration());
-        model.init();
-        if (importWeights)
-            model = (ComputationGraph) KerasModelUtils.copyWeightsToModel(model, this.layers);
-        return model;
+            ComputationGraph model = new ComputationGraph(getComputationGraphConfiguration());
+            model.init();
+            if (importWeights)
+                model = (ComputationGraph) KerasModelUtils.copyWeightsToModel(model, this.layers);
+            return model;
+        }
     }
-}
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModelImport.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModelImport.java
index 74bfb8f9e..c9f3d15a0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModelImport.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasModelImport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
@@ -28,15 +32,6 @@ import org.deeplearning4j.common.util.DL4JFileUtils;
 
 import java.io.*;
 
-/**
- * Reads stored Keras configurations and weights from one of two archives:
- * either as
- *
- * - a single HDF5 file storing model and training JSON configurations and weights
- * - separate text file storing model JSON configuration and HDF5 file storing weights.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 public class KerasModelImport {
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasSequentialModel.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasSequentialModel.java
index 012878230..696dc3df9 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasSequentialModel.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/KerasSequentialModel.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
@@ -37,12 +41,6 @@ import java.util.*;
 
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils.importWeights;
 
-/**
- * Build DL4J MultiLayerNetwork model from Keras Sequential
- * model configuration.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 public class KerasSequentialModel extends KerasModel {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras1LayerConfiguration.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras1LayerConfiguration.java
index 54e9d3dac..f25a8e8c0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras1LayerConfiguration.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras1LayerConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.config;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras2LayerConfiguration.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras2LayerConfiguration.java
index 9b91d10cc..7da9636fb 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras2LayerConfiguration.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/Keras2LayerConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.config;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfiguration.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfiguration.java
index 4ffdc20c3..a0082f4f1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfiguration.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.config;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfigurationFactory.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfigurationFactory.java
index 9302dd051..13307068f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfigurationFactory.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasLayerConfigurationFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.config;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasModelConfiguration.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasModelConfiguration.java
index a4f2a1710..9c23c1544 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasModelConfiguration.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/config/KerasModelConfiguration.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.config;
 
 import lombok.Data;
 
 
-/**
- * Basic properties and field names of serialised Keras models.
- *
- * @author Max Pumperla
- */
 @Data
 public class KerasModelConfiguration {
 
@@ -31,6 +30,7 @@ public class KerasModelConfiguration {
     private final String fieldClassName = "class_name";
     private final String fieldClassNameSequential = "Sequential";
     private final String fieldClassNameModel = "Model";
+    private final String fieldNameClassFunctional = "Functional";
     private final String fieldKerasVersion = "keras_version";
     private final String fieldBackend = "backend";
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/InvalidKerasConfigurationException.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/InvalidKerasConfigurationException.java
index dbebac7b9..b5d5a014f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/InvalidKerasConfigurationException.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/InvalidKerasConfigurationException.java
@@ -1,30 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.exceptions;
 
 
-/**
- * Indicates that user is attempting to import a Keras model configuration that
- * is malformed or invalid in some other way.
- *
- * See https://deeplearning4j.konduit.ai/keras-import/overview for more information.
- *
- * @author dave@skymind.io
- */
 public class InvalidKerasConfigurationException extends Exception {
 
     public InvalidKerasConfigurationException(String message) {
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/UnsupportedKerasConfigurationException.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/UnsupportedKerasConfigurationException.java
index 999682a8b..e9505a3a1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/UnsupportedKerasConfigurationException.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/exceptions/UnsupportedKerasConfigurationException.java
@@ -1,31 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.exceptions;
 
 
-/**
- * Indicates that user is attempting to import a Keras model configuration that
- * is not currently supported.
- *
- * See https://deeplearning4j.konduit.ai/keras-import/overview
- * for more information and file an issue at https://github.com/eclipse/deeplearning4j/issues.
- *
- * @author dave@skymind.io
- */
 public class UnsupportedKerasConfigurationException extends Exception {
 
     public UnsupportedKerasConfigurationException(String message) {
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java
index 30b1b0d34..64c64ad75 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasLoss.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasLoss.java
index d47309d1d..addc3d833 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasLoss.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasLoss.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers;
 
@@ -36,11 +39,6 @@ import java.util.ArrayList;
 
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLossUtils.mapLossFunction;
 
-/**
- * Builds a DL4J LossLayer from a Keras training loss function.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasTFOpLayer.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasTFOpLayer.java
index 2dd95338a..5c84dba01 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasTFOpLayer.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasTFOpLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayer.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayer.java
index 5a1f0e8dd..5d2d04923 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayer.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java
index 26c369d8b..df56cc3aa 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java
index 2517ae0ac..af40cf279 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.activations.impl.ActivationLReLU;
 
 import java.util.Map;
 
-/**
- * Imports ELU layer from Keras
- *
- * @author Alex Black
- */
 public class KerasELU extends KerasLayer {
 
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasLeakyReLU.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasLeakyReLU.java
index 32324c0d1..897189dbb 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasLeakyReLU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasLeakyReLU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasPReLU.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasPReLU.java
index 8dad3d35e..6853ba203 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasPReLU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasPReLU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java
index 3a30ec9ef..255d2315d 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.activations.impl.ActivationReLU;
 
 import java.util.Map;
 
-/**
- * Imports ReLU layer from Keras
- *
- * @author Alex Black
- */
 public class KerasReLU extends KerasLayer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasSoftmax.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasSoftmax.java
index 884c55ef1..5a8931ff5 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasSoftmax.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasSoftmax.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.activations.impl.ActivationSoftmax;
 
 import java.util.Map;
 
-/**
- * Imports Softmax layer from Keras
- *
- * @author Alex Black
- */
 public class KerasSoftmax extends KerasLayer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasThresholdedReLU.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasThresholdedReLU.java
index 2fde5eac2..dad137e01 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasThresholdedReLU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasThresholdedReLU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java
index d08ae1c7d..916bc8cef 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -33,12 +37,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUt
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getHasBiasFromConfig;
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
 
-/**
- * Keras 1D atrous / dilated convolution layer. Note that in keras 2 this layer has been
- * removed and dilations are now available through the "dilated" argument in regular Conv1D layers
- * 

- * author: Max Pumperla
- */
 public class KerasAtrousConvolution1D extends KerasConvolution {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution2D.java
index 7b866cbbe..fb61997d0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -33,12 +37,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUt
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getHasBiasFromConfig;
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
 
-/**
- * Keras 1D atrous / dilated convolution layer. Note that in keras 2 this layer has been
- * removed and dilations are now available through the "dilated" argument in regular Conv1D layers
- * 

- * author: Max Pumperla
- */
 public class KerasAtrousConvolution2D extends KerasConvolution {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution.java
index a5f3e15ae..c27ef47eb 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -32,12 +36,6 @@ import java.util.Map;
 
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.removeDefaultWeights;
 
-/**
- * Keras Convolution base layer
- *
- * @author Max Pumperla
- */
-
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java
index 8bc1e70a7..bc807accf 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -44,11 +48,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUtils.getWeightInitFromConfig;
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.*;
 
-/**
- * Imports a 1D Convolution layer from Keras.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java
index 67035e879..c6c513c29 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -39,11 +43,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getH
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
 
 
-/**
- * Imports a 2D Convolution layer from Keras.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution3D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution3D.java
index ccd776306..2ffa05f4e 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution3D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -38,11 +42,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getH
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
 
 
-/**
- * Imports a 3D Convolution layer from Keras.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolutionUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolutionUtils.java
index cf818f6d2..271dcd4a4 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolutionUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolutionUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -32,11 +36,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Utility functionality for Keras convolution layers.
- *
- * @author Max Pumperla
- */
 public class KerasConvolutionUtils {
 
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping1D.java
index c3f76fbb7..7c073348d 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -29,11 +33,6 @@ import java.util.Map;
 
 import static org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils.getPaddingFromConfig;
 
-/**
- * Imports a Keras Cropping 1D layer.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping2D.java
index b25a4b561..b4df34c5b 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -30,11 +34,6 @@ import java.util.Map;
 
 import static org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils.getPaddingFromConfig;
 
-/**
- * Imports a Keras Cropping 2D layer.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping3D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping3D.java
index 71d2bac80..16d31b2b1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping3D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -29,11 +33,6 @@ import java.util.Map;
 
 import static org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils.getPaddingFromConfig;
 
-/**
- * Imports a Keras Cropping 3D layer.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDeconvolution2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDeconvolution2D.java
index d69b4099a..cc7508ab1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDeconvolution2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDeconvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -36,11 +40,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getH
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
 
 
-/**
- * Imports a 2D Deconvolution layer from Keras.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDepthwiseConvolution2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDepthwiseConvolution2D.java
index b120544bb..e14d97bb1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDepthwiseConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDepthwiseConvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -44,11 +48,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUt
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getHasBiasFromConfig;
 
 
-/**
- * Keras depth-wise convolution 2D layer support
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSeparableConvolution2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSeparableConvolution2D.java
index 306896d3f..a72524529 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSeparableConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSeparableConvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
@@ -40,11 +44,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getH
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
 
 
-/**
- * Keras separable convolution 2D layer support
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSpaceToDepth.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSpaceToDepth.java
index 586ab1010..fa02eb829 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSpaceToDepth.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSpaceToDepth.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling1D.java
index 943fa0c15..db74b3918 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java
index 41f5455da..0e15e75d0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling3D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling3D.java
index 98aabb3ee..40915a66f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling3D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding1D.java
index 4575e9bd7..c6fc5bfdc 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding2D.java
index d2b6808ec..3d01e1a77 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding3D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding3D.java
index 7c840d301..b1bfe103f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding3D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivation.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivation.java
index 140a0922e..7d4e8429d 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivation.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
@@ -27,11 +31,6 @@ import java.util.Map;
 
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils.getIActivationFromConfig;
 
-/**
- * Imports an Activation layer from Keras.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 public class KerasActivation extends KerasLayer {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDense.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDense.java
index 296b5dabf..9eae1f08e 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDense.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDense.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropout.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropout.java
index a88957348..a24eee540 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropout.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasFlatten.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasFlatten.java
index a807d3357..1e12517a1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasFlatten.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasFlatten.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
@@ -22,6 +26,8 @@ import org.deeplearning4j.nn.conf.CNN2DFormat;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional;
+import org.deeplearning4j.nn.conf.layers.Convolution3D;
+import org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
 import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
@@ -31,11 +37,6 @@ import org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
 import java.util.Map;
 
-/**
- * Imports a Keras Flatten layer as a DL4J {Cnn,Rnn}ToFeedForwardInputPreProcessor.
- *
- * @author dave@skymind.io
- */
 @Slf4j
 public class KerasFlatten extends KerasLayer {
 
@@ -87,6 +88,10 @@ public class KerasFlatten extends KerasLayer {
         if (inputType.length > 1)
             throw new InvalidKerasConfigurationException(
                     "Keras Flatten layer accepts only one input (received " + inputType.length + ")");
+        /**
+         * TODO: On layer name dropout_2 as input the flatten layer seems to be outputting 20 instead of 80.
+         * Likely due to needing to multiply the final outputs totaled to 80, but only getting to 20.
+         */
         InputPreProcessor preprocessor = null;
         if (inputType[0] instanceof InputTypeConvolutional) {
             InputTypeConvolutional it = (InputTypeConvolutional) inputType[0];
@@ -111,6 +116,21 @@ public class KerasFlatten extends KerasLayer {
             InputType.InputTypeFeedForward it = (InputType.InputTypeFeedForward) inputType[0];
             val inputShape = new long[]{it.getSize()};
             preprocessor = new ReshapePreprocessor(inputShape, inputShape, false, null);
+        } else if(inputType[0] instanceof InputType.InputTypeConvolutional3D) {
+            InputType.InputTypeConvolutional3D it = (InputType.InputTypeConvolutional3D) inputType[0];
+            switch (this.getDimOrder()) {
+                case NONE:
+                case THEANO:
+                    preprocessor = new Cnn3DToFeedForwardPreProcessor(it.getDepth(),it.getHeight(),it.getWidth(),
+                            it.getChannels(),it.getDataFormat() == Convolution3D.DataFormat.NCDHW);
+                    break;
+                case TENSORFLOW:
+                    preprocessor = new Cnn3DToFeedForwardPreProcessor(it.getDepth(),it.getHeight(),it.getWidth(),
+                            it.getChannels(),it.getDataFormat() != Convolution3D.DataFormat.NCDHW);
+                    break;
+                default:
+                    throw new InvalidKerasConfigurationException("Unknown Keras backend " + this.getDimOrder());
+            }
         }
         return preprocessor;
     }
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasLambda.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasLambda.java
index f2ef11c78..4cb56fefd 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasLambda.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasLambda.java
@@ -1,21 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
+import lombok.extern.slf4j.Slf4j;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer;
 import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
@@ -30,6 +35,7 @@ import java.util.Map;
  *
  * @author Max Pumperla
  */
+@Slf4j
 public class KerasLambda extends KerasLayer {
 
     /**
@@ -68,9 +74,9 @@ public class KerasLambda extends KerasLayer {
      * @throws InvalidKerasConfigurationException Invalid Keras config
      */
     public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException {
-        if (inputType.length > 1)
-            throw new InvalidKerasConfigurationException(
-                    "Keras SameDiff layer accepts only one input (received " + inputType.length + ")");
+        if (inputType.length > 1) {
+            log.warn("Note: only first input type will be counted for lambda on layer with name " + layerName);
+        }
         return this.getSameDiffLayer().getOutputType(-1, inputType[0]);
     }
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMasking.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMasking.java
index 117daae71..4e8fcb0f9 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMasking.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMasking.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMerge.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMerge.java
index 62c44966e..5c1a31ad0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMerge.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMerge.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
@@ -29,13 +33,6 @@ import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
 
 import java.util.Map;
 
-/**
- * Imports a Keras Merge layer as a DL4J Merge (graph) vertex.
- * 

- * TODO: handle axes arguments that alter merge behavior (requires changes to DL4J?)
- *
- * @author dave@skymind.io
- */
 @Slf4j
 @Data
 public class KerasMerge extends KerasLayer {
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermute.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermute.java
index 3c3f7dc41..bafdcc98e 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermute.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermute.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVector.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVector.java
index 15f3011c4..a7a3ef3e0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVector.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVector.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
@@ -28,11 +32,6 @@ import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
 
 import java.util.Map;
 
-/**
- * Imports a Keras RepeatVector layer
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasRepeatVector extends KerasLayer {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshape.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshape.java
index bb4dc5ecf..f177337ba 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshape.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
@@ -178,4 +182,4 @@ public class KerasReshape extends KerasLayer {
         ReshapePreprocessor reshape = (ReshapePreprocessor) getInputPreprocessor(inputType);
         return reshape.getOutputType(inputType[0]);
     }
-}
+}
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java
index 14d3e17a1..df13fa855 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasLRN.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasLRN.java
index 1731b4052..74118d200 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasLRN.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasLRN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.custom;
 
@@ -26,13 +30,6 @@ import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
 
 import java.util.Map;
 
-/**
- * Keras does not have an official LRN layer. Instead, the Keras community has
- * developed helpers to help address this issue. This custom layer was built specifically
- * to allow import of GoogLeNet https://gist.github.com/joelouismarino/a2ede9ab3928f999575423b9887abd14.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class KerasLRN extends KerasLayer {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasPoolHelper.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasPoolHelper.java
index 54c7f6a70..50542ae82 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasPoolHelper.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/custom/KerasPoolHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.custom;
 
@@ -25,12 +29,6 @@ import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfig
 
 import java.util.Map;
 
-/**
- * Custom PoolHelper layer developed for importing GoogLeNet. This layer strips
- * the first column and row of the input. See https://gist.github.com/joelouismarino/a2ede9ab3928f999575423b9887abd14.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class KerasPoolHelper extends KerasLayer {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/Keras2DEmbedding.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/Keras2DEmbedding.java
new file mode 100644
index 000000000..6559a0506
--- /dev/null
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/Keras2DEmbedding.java
@@ -0,0 +1,240 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.nn.modelimport.keras.layers.embeddings;
+
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.extern.slf4j.Slf4j;
+import org.deeplearning4j.nn.api.layers.LayerConstraint;
+import org.deeplearning4j.nn.conf.InputPreProcessor;
+import org.deeplearning4j.nn.conf.RNNFormat;
+import org.deeplearning4j.nn.conf.inputs.InputType;
+import org.deeplearning4j.nn.conf.layers.EmbeddingLayer;
+import org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer;
+import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
+import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
+import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
+import org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils;
+import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
+import org.deeplearning4j.nn.params.DefaultParamInitializer;
+import org.deeplearning4j.nn.weights.IWeightInit;
+import org.nd4j.linalg.activations.Activation;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Set;
+
+import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUtils.getWeightInitFromConfig;
+import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.getNOutFromConfig;
+
+/**
+ * Imports an Embedding layer from Keras.
+ *
+ * @author dave@skymind.io
+ */
+@Slf4j
+@Data
+@EqualsAndHashCode(callSuper = false)
+public class Keras2DEmbedding extends KerasLayer {
+
+    private final int NUM_TRAINABLE_PARAMS = 1;
+    private boolean zeroMasking;
+    private int inputDim;
+    private int inputLength;
+    private boolean inferInputLength;
+
+
+    /**
+     * Pass through constructor for unit tests
+     *
+     * @throws UnsupportedKerasConfigurationException Unsupported Keras config
+     */
+    public Keras2DEmbedding() throws UnsupportedKerasConfigurationException {
+    }
+
+    /**
+     * Constructor from parsed Keras layer configuration dictionary.
+     *
+     * @param layerConfig dictionary containing Keras layer configuration
+     * @throws InvalidKerasConfigurationException     Invalid Keras config
+     * @throws UnsupportedKerasConfigurationException Unsupported Keras config
+     */
+    public Keras2DEmbedding(Map layerConfig)
+            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
+        this(layerConfig, true);
+    }
+
+    /**
+     * Constructor from parsed Keras layer configuration dictionary.
+     *
+     * @param layerConfig           dictionary containing Keras layer configuration
+     * @param enforceTrainingConfig whether to enforce training-related configuration options
+     * @throws InvalidKerasConfigurationException     Invalid Keras config
+     * @throws UnsupportedKerasConfigurationException Unsupported Keras config
+     */
+    public Keras2DEmbedding(Map layerConfig, boolean enforceTrainingConfig)
+            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
+        super(layerConfig, enforceTrainingConfig);
+
+        this.inputDim = getInputDimFromConfig(layerConfig);
+        this.inputLength = getInputLengthFromConfig(layerConfig);
+        this.inferInputLength = this.inputLength == 0;
+        if (this.inferInputLength)
+            this.inputLength = 1; // set dummy value, so shape inference works
+
+        this.zeroMasking = KerasLayerUtils.getZeroMaskingFromConfig(layerConfig, conf);
+        if (zeroMasking)
+            log.warn("Masking in keras and DL4J work differently. We do not completely support mask_zero flag " +
+                    "on Embedding layers. Zero Masking for the Embedding layer only works with unidirectional LSTM for now."
+                    + " If you want to have this behaviour for your imported model " +
+                    "in DL4J, apply masking as a pre-processing step to your input." +
+                    "See https://deeplearning4j.konduit.ai/models/recurrent#masking-one-to-many-many-to-one-and-sequence-classification for more on this.");
+
+        IWeightInit init = getWeightInitFromConfig(layerConfig,
+                conf.getLAYER_FIELD_EMBEDDING_INIT(),
+                enforceTrainingConfig,
+                conf, kerasMajorVersion);
+
+        LayerConstraint embeddingConstraint = KerasConstraintUtils.getConstraintsFromConfig(
+                layerConfig, conf.getLAYER_FIELD_EMBEDDINGS_CONSTRAINT(), conf, kerasMajorVersion);
+        int nOutFromConfig = getNOutFromConfig(layerConfig, conf);
+        EmbeddingLayer.Builder builder = new EmbeddingLayer.Builder()
+                .name(this.layerName)
+                .nIn(inputDim)
+                .nOut(nOutFromConfig)
+                .dropOut(this.dropout).activation(Activation.IDENTITY)
+                .weightInit(init)
+                .biasInit(0.0)
+                .l1(this.weightL1Regularization)
+                .l2(this.weightL2Regularization)
+                .hasBias(false);
+        if (embeddingConstraint != null)
+            builder.constrainWeights(embeddingConstraint);
+        this.layer = builder.build();
+
+        this.inputShape = new int[]{inputDim,1};
+    }
+
+    /**
+     * Get DL4J Embedding Sequence layer.
+     *
+     * @return Embedding Sequence layer
+     */
+    public EmbeddingLayer getEmbeddingLayer() {
+        return (EmbeddingLayer) this.layer;
+    }
+
+    /**
+     * Get layer output type.
+     *
+     * @param inputType Array of InputTypes
+     * @return output type as InputType
+     * @throws InvalidKerasConfigurationException Invalid Keras config
+     */
+    @Override
+    public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException {
+        /* Check whether layer requires a preprocessor for this InputType. */
+        InputPreProcessor preprocessor = getInputPreprocessor(inputType[0]);
+        if (preprocessor != null) {
+            return this.getEmbeddingLayer().getOutputType(-1, preprocessor.getOutputType(inputType[0]));
+        }
+        return this.getEmbeddingLayer().getOutputType(-1, inputType[0]);
+    }
+
+    /**
+     * Returns number of trainable parameters in layer.
+     *
+     * @return number of trainable parameters (1)
+     */
+    @Override
+    public int getNumParams() {
+        return NUM_TRAINABLE_PARAMS;
+    }
+
+    /**
+     * Set weights for layer.
+     *
+     * @param weights Embedding layer weights
+     */
+    @Override
+    public void setWeights(Map weights) throws InvalidKerasConfigurationException {
+        this.weights = new HashMap<>();
+        // TODO: "embeddings" is incorrectly read as "s" for some applications
+        if (weights.containsKey("s")) {
+            INDArray kernel = weights.get("s");
+            weights.remove("s");
+            weights.put(conf.getLAYER_FIELD_EMBEDDING_WEIGHTS(), kernel);
+        }
+
+        if (!weights.containsKey(conf.getLAYER_FIELD_EMBEDDING_WEIGHTS()))
+            throw new InvalidKerasConfigurationException(
+                    "Parameter " + conf.getLAYER_FIELD_EMBEDDING_WEIGHTS() + " does not exist in weights");
+        INDArray kernel = weights.get(conf.getLAYER_FIELD_EMBEDDING_WEIGHTS());
+        if (this.zeroMasking) {
+            kernel.putRow(0, Nd4j.zeros(kernel.columns()));
+        }
+        this.weights.put(DefaultParamInitializer.WEIGHT_KEY, kernel);
+
+        if (weights.size() > 2) {
+            Set paramNames = weights.keySet();
+            paramNames.remove(conf.getLAYER_FIELD_EMBEDDING_WEIGHTS());
+            String unknownParamNames = paramNames.toString();
+            log.warn("Attempting to set weights for unknown parameters: "
+                    + unknownParamNames.substring(1, unknownParamNames.length() - 1));
+        }
+    }
+
+    /**
+     * Get Keras input length from Keras layer configuration. In Keras input_length, if present, denotes
+     * the number of indices to embed per mini-batch, i.e. input will be of shape (mb, input_length)
+     * and (mb, 1) else.
+     *
+     * @param layerConfig dictionary containing Keras layer configuration
+     * @return input length as int
+     */
+    private int getInputLengthFromConfig(Map layerConfig) throws InvalidKerasConfigurationException {
+        Map innerConfig = KerasLayerUtils.getInnerLayerConfigFromConfig(layerConfig, conf);
+        if (!innerConfig.containsKey(conf.getLAYER_FIELD_INPUT_LENGTH()))
+            throw new InvalidKerasConfigurationException(
+                    "Keras Embedding layer config missing " + conf.getLAYER_FIELD_INPUT_LENGTH() + " field");
+        if (innerConfig.get(conf.getLAYER_FIELD_INPUT_LENGTH()) == null) {
+            return 0;
+        } else {
+            return (int) innerConfig.get(conf.getLAYER_FIELD_INPUT_LENGTH());
+        }
+    }
+
+    /**
+     * Get Keras input dimension from Keras layer configuration.
+     *
+     * @param layerConfig dictionary containing Keras layer configuration
+     * @return input dim as int
+     */
+    private int getInputDimFromConfig(Map layerConfig) throws InvalidKerasConfigurationException {
+        Map innerConfig = KerasLayerUtils.getInnerLayerConfigFromConfig(layerConfig, conf);
+        if (!innerConfig.containsKey(conf.getLAYER_FIELD_INPUT_DIM()))
+            throw new InvalidKerasConfigurationException(
+                    "Keras Embedding layer config missing " + conf.getLAYER_FIELD_INPUT_DIM() + " field");
+        return (int) innerConfig.get(conf.getLAYER_FIELD_INPUT_DIM());
+    }
+}
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbedding.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbedding.java
index 77c67c865..f49f590cf 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbedding.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbedding.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.embeddings;
 
@@ -197,7 +201,7 @@ public class KerasEmbedding extends KerasLayer {
             Set paramNames = weights.keySet();
             paramNames.remove(conf.getLAYER_FIELD_EMBEDDING_WEIGHTS());
             String unknownParamNames = paramNames.toString();
-            log.warn("Attemping to set weights for unknown parameters: "
+            log.warn("Attempting to set weights for unknown parameters: "
                     + unknownParamNames.substring(1, unknownParamNames.length() - 1));
         }
     }
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1D.java
index 7ce67b33f..9b9fecabf 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.local;
 
@@ -40,11 +44,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUt
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.*;
 
 
-/**
- * Imports a 1D locally connected layer from Keras.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2D.java
index 550c20d01..421797976 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.local;
 
@@ -40,11 +44,6 @@ import static org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUt
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils.*;
 
 
-/**
- * Imports a 2D locally connected layer from Keras.
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropout.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropout.java
index 565126508..76707a0b3 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropout.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.noise;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropout.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropout.java
index a27b370d8..dde2709aa 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropout.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.noise;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoise.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoise.java
index 45b45a638..de3d56760 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoise.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoise.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.noise;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalization.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalization.java
index 39a4ca112..a90f4f1e6 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalization.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.normalization;
 
@@ -37,11 +41,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.Set;
 
-/**
- * Imports a BatchNormalization layer from Keras.
- *
- * @author dave@skymind.io, Max Pumperla
- */
 @Slf4j
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java
index 309c7e665..9192e6dcf 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1D.java
index 454cbc104..bb27e7d81 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2D.java
index 15be5ec2c..7d214a96c 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3D.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3D.java
index e48155e33..5fbee75b8 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPoolingUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPoolingUtils.java
index 1b370b2b8..156dbfd41 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPoolingUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPoolingUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
@@ -20,11 +24,6 @@ import org.deeplearning4j.nn.conf.layers.PoolingType;
 import org.deeplearning4j.nn.modelimport.keras.config.KerasLayerConfiguration;
 import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
 
-/**
- * Utility functionality for Keras pooling layers.
- *
- * @author Max Pumperla
- */
 public class KerasPoolingUtils {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTM.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTM.java
index d2b9f42ff..a2b30b92b 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTM.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasRnnUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasRnnUtils.java
index 9f26a601c..36895be7c 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasRnnUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasRnnUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.recurrent;
 
@@ -26,11 +30,6 @@ import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
 
 import java.util.Map;
 
-/**
- * Utility functions for Keras RNN layers
- *
- * @author Max Pumperla
- */
 public class KerasRnnUtils {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnn.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnn.java
index 3a8b9806f..60c25fe47 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnn.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java
index faa271987..1042ca244 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.wrappers;
 
@@ -36,11 +40,6 @@ import java.util.Collections;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Builds a DL4J Bidirectional layer from a Keras Bidirectional layer wrapper
- *
- * @author Max Pumperla
- */
 public class KerasBidirectional extends KerasLayer {
 
     private KerasLayer kerasRnnlayer;
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGenerator.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGenerator.java
index b08a6a35c..4f397850b 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGenerator.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.sequence;
 
@@ -34,11 +38,6 @@ import java.util.Map;
 
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils.parseJsonString;
 
-/**
- * Java port of Keras' TimeSeriesGenerator, see https://keras.io/preprocessing/sequence/
- *
- * @author Max Pumperla
- */
 @Data
 public class TimeSeriesGenerator {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/KerasTokenizer.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/KerasTokenizer.java
index 6461d1644..599519aa0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/KerasTokenizer.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/KerasTokenizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.text;
 
@@ -28,11 +32,6 @@ import java.util.*;
 
 import static org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils.parseJsonString;
 
-/**
- * Java port of Keras' text tokenizer, see https://keras.io/preprocessing/text/ for more information.
- *
- * @author Max Pumperla
- */
 @Data
 public class KerasTokenizer {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerMode.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerMode.java
index 49015794a..221f83808 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerMode.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerMode.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.text;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/KerasFlattenRnnPreprocessor.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/KerasFlattenRnnPreprocessor.java
index 25aa73a06..5866b2f18 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/KerasFlattenRnnPreprocessor.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/KerasFlattenRnnPreprocessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessors;
 
@@ -26,11 +30,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Preprocessor to flatten input of RNN type
- *
- * @author Max Pumperla
- */
 @Slf4j
 @Data
 public class KerasFlattenRnnPreprocessor extends BaseInputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/PermutePreprocessor.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/PermutePreprocessor.java
index 6f2250b13..90eb74931 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/PermutePreprocessor.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/PermutePreprocessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessors;
 
@@ -30,11 +34,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 
-/**
- * Preprocessor to permute input data according to specified permutation indices.
- *
- * @author Max Pumperla
- */
 @Data
 @Slf4j
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/ReshapePreprocessor.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/ReshapePreprocessor.java
index 106f00914..ba41cc91d 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/ReshapePreprocessor.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/ReshapePreprocessor.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessors;
 
@@ -38,16 +41,6 @@ import java.util.Arrays;
 
 import static org.nd4j.common.util.ArrayUtil.prodLong;
 
-/**
- * Generic reshape preprocessor.
- * Note that shapes may be specified with or without the leading minibatch dimension, as long as hasMiniBatchDimension
- * is set appropriately in {@link #ReshapePreprocessor(long[], long[], boolean)}

- * For example, to reshape from [minibatch, 32] to [minibatch, 2, 4, 4] you could use:

- * hasMiniBatchDimension = true with inputShape = [-1, 32] and targetShape = [-1, 2, 4, 4] OR

- * hasMiniBatchDimension = false with inputShape = [32] and targetShape = [2, 4, 4]
- *
- * @author Max Pumperla
- */
 @Data
 @Slf4j
 @EqualsAndHashCode(callSuper = false)
@@ -177,4 +170,4 @@ public class ReshapePreprocessor extends BaseInputPreProcessor {
         }
         return ret;
     }
-}
+}
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/TensorFlowCnnToFeedForwardPreProcessor.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/TensorFlowCnnToFeedForwardPreProcessor.java
index 2e1ac2e51..754850a4a 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/TensorFlowCnnToFeedForwardPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/preprocessors/TensorFlowCnnToFeedForwardPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessors;
 
@@ -26,10 +30,6 @@ import org.nd4j.linalg.api.shape.Shape;
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * @deprecated Exists only for backward compatibility of older pretrained models. Should not be used.
- * Use {@link CnnToFeedForwardPreProcessor} for all new models instead.
- */
 @Slf4j @Deprecated
 public class TensorFlowCnnToFeedForwardPreProcessor extends CnnToFeedForwardPreProcessor {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/DL4JKerasModelValidator.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/DL4JKerasModelValidator.java
index 71cfca4a7..627603b13 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/DL4JKerasModelValidator.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/DL4JKerasModelValidator.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
 import lombok.NonNull;
@@ -11,11 +31,6 @@ import org.nd4j.common.validation.ValidationResult;
 import java.io.File;
 import java.util.Collections;
 
-/**
- * A utility for validating serialized Keras sequential and functional models for import into DL4J
- *
- * @author Alex Black
- */
 public class DL4JKerasModelValidator {
 
     private DL4JKerasModelValidator(){ }
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasActivationUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasActivationUtils.java
index cdf8bc923..cbf7b548f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasActivationUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasActivationUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.activations.IActivation;
 
 import java.util.Map;
 
-/**
- * Utility functionality for Keras activation functions.
- *
- * @author Max Pumperla
- */
 public class KerasActivationUtils {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasConstraintUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasConstraintUtils.java
index d9f7d9661..717cd29cf 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasConstraintUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasConstraintUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -29,11 +33,6 @@ import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfig
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Utility functionality for keras constraints.
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasConstraintUtils {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasInitilizationUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasInitilizationUtils.java
index b4b5e6564..5b400c47c 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasInitilizationUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasInitilizationUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -26,11 +30,6 @@ import org.deeplearning4j.nn.weights.*;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Utility functionality for Keras weight initializers
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasInitilizationUtils {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLayerUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLayerUtils.java
index 13d555281..6c2fd66a7 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLayerUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLayerUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -30,6 +34,7 @@ import org.deeplearning4j.nn.modelimport.keras.layers.KerasTFOpLayer;
 import org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations.*;
 import org.deeplearning4j.nn.modelimport.keras.layers.convolutional.*;
 import org.deeplearning4j.nn.modelimport.keras.layers.core.*;
+import org.deeplearning4j.nn.modelimport.keras.layers.embeddings.Keras2DEmbedding;
 import org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding;
 import org.deeplearning4j.nn.modelimport.keras.layers.local.KerasLocallyConnected1D;
 import org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasAlphaDropout;
@@ -43,20 +48,13 @@ import org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling3D;
 import org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLSTM;
 import org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn;
 import org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional;
+import org.nd4j.common.primitives.Counter;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 
 import java.lang.reflect.Constructor;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
+import java.util.*;
 
-/**
- * Utility functionality to import keras models
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasLayerUtils {
 
@@ -191,7 +189,6 @@ public class KerasLayerUtils {
             layerConfig = getTimeDistributedLayerConfig(layerConfig, conf);
             layerClassName = getClassNameFromConfig(layerConfig, conf);
         }
-
         KerasLayer layer = null;
         if (layerClassName.equals(conf.getLAYER_CLASS_NAME_ACTIVATION())) {
             layer = new KerasActivation(layerConfig, enforceTrainingConfig);
@@ -280,6 +277,9 @@ public class KerasLayerUtils {
         } else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_MULTIPLY()) ||
                 layerClassName.equals(conf.getLAYER_CLASS_NAME_FUNCTIONAL_MULTIPLY())) {
             layer = new KerasMerge(layerConfig, ElementWiseVertex.Op.Product, enforceTrainingConfig);
+        } else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_MAXIMUM()) ||
+                layerClassName.equals(conf.getLAYER_CLASS_NAME_FUNCTIONAL_MAXIMUM())) {
+            layer = new KerasMerge(layerConfig, ElementWiseVertex.Op.Max, enforceTrainingConfig);
         } else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_CONCATENATE()) ||
                 layerClassName.equals(conf.getLAYER_CLASS_NAME_FUNCTIONAL_CONCATENATE())) {
             layer = new KerasMerge(layerConfig, null, enforceTrainingConfig);
@@ -297,7 +297,9 @@ public class KerasLayerUtils {
             layer = new KerasUpsampling1D(layerConfig, enforceTrainingConfig);
         } else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_UPSAMPLING_2D())) {
             layer = new KerasUpsampling2D(layerConfig, enforceTrainingConfig);
-        } else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_CROPPING_3D())) {
+        }else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_UPSAMPLING_2D())) {
+            layer = new KerasUpsampling3D(layerConfig, enforceTrainingConfig);
+        }  else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_CROPPING_3D())) {
             layer = new KerasCropping3D(layerConfig, enforceTrainingConfig);
         } else if (layerClassName.equals(conf.getLAYER_CLASS_NAME_CROPPING_2D())) {
             layer = new KerasCropping2D(layerConfig, enforceTrainingConfig);
@@ -310,6 +312,7 @@ public class KerasLayerUtils {
                         "layer " + lambdaLayerName + ". You can register a SameDiff Lambda layer using KerasLayer." +
                         "registerLambdaLayer(lambdaLayerName, sameDiffLambdaLayer);");
             }
+
             SameDiffLambdaLayer lambdaLayer = lambdaLayers.get(lambdaLayerName);
             if (lambdaLayer != null){
                 layer = new KerasLambda(layerConfig, enforceTrainingConfig, lambdaLayer);
@@ -325,10 +328,10 @@ public class KerasLayerUtils {
         } else if (conf instanceof Keras2LayerConfiguration){
             Keras2LayerConfiguration k2conf = (Keras2LayerConfiguration)conf;
             if (layerClassName.equals(k2conf.getTENSORFLOW_OP_LAYER())){
-              layer = new KerasTFOpLayer(layerConfig, enforceTrainingConfig);
+                layer = new KerasTFOpLayer(layerConfig, enforceTrainingConfig);
             }
         }
-        if (layer == null){
+        if (layer == null) {
             Class customConfig = customLayers.get(layerClassName);
             if (customConfig == null)
                 throw new UnsupportedKerasConfigurationException("Unsupported keras layer type " + layerClassName);
@@ -336,7 +339,8 @@ public class KerasLayerUtils {
                 Constructor constructor = customConfig.getConstructor(Map.class);
                 layer = (KerasLayer) constructor.newInstance(layerConfig);
             } catch (Exception e) {
-                throw new RuntimeException(e);
+                throw new RuntimeException("The keras custom class " + layerClassName + " needs to have a constructor with only Map as the argument. Please ensure this is defined."
+                        ,e);
             }
         }
         return layer;
@@ -492,15 +496,43 @@ public class KerasLayerUtils {
         List inboundLayerNames = new ArrayList<>();
         if (layerConfig.containsKey(conf.getLAYER_FIELD_INBOUND_NODES())) {
             List inboundNodes = (List) layerConfig.get(conf.getLAYER_FIELD_INBOUND_NODES());
-            if (!inboundNodes.isEmpty()) {
-                inboundNodes = (List) inboundNodes.get(0);
-                for (Object o : inboundNodes) {
+            if(!inboundNodes.isEmpty()) {
+                for(Object nodeName : inboundNodes) {
+                    List list = (List) nodeName;
+                    for(Object o : list) {
+                        List list2 = (List) o;
+                        inboundLayerNames.add(list2.get(0).toString());
+
+                    }
+                }
+
+
+            }
+
+
+        }
+        return inboundLayerNames;
+    }
+
+    /**
+     * Get list of inbound layers from Keras layer configuration.
+     *
+     * @param layerConfig dictionary containing Keras layer configuration
+     * @return List of inbound layer names
+     */
+    public static List getOutboundLayerNamesFromConfig(Map layerConfig, KerasLayerConfiguration conf) {
+        List outputLayerNames = new ArrayList<>();
+        if (layerConfig.containsKey(conf.getLAYER_FIELD_OUTBOUND_NODES())) {
+            List outboundNodes = (List) layerConfig.get(conf.getLAYER_FIELD_OUTBOUND_NODES());
+            if (!outboundNodes.isEmpty()) {
+                outboundNodes = (List) outboundNodes.get(0);
+                for (Object o : outboundNodes) {
                     String nodeName = (String) ((List) o).get(0);
-                    inboundLayerNames.add(nodeName);
+                    outputLayerNames.add(nodeName);
                 }
             }
         }
-        return inboundLayerNames;
+        return outputLayerNames;
     }
 
     /**
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java
index b9e0ddfce..02474bb72 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -27,11 +30,6 @@ import java.util.HashMap;
 import java.util.Map;
 
 
-/**
- * Utility functionality for keras loss functions
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasLossUtils {
     static final Map customLoss = new HashMap<>();
@@ -63,6 +61,7 @@ public class KerasLossUtils {
     public static ILossFunction mapLossFunction(String kerasLoss, KerasLayerConfiguration conf)
             throws UnsupportedKerasConfigurationException {
         LossFunctions.LossFunction dl4jLoss;
+        kerasLoss = kerasLoss.toLowerCase();
         if (kerasLoss.equals(conf.getKERAS_LOSS_MEAN_SQUARED_ERROR()) ||
                 kerasLoss.equals(conf.getKERAS_LOSS_MSE())) {
             dl4jLoss = LossFunctions.LossFunction.SQUARED_LOSS;
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelBuilder.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelBuilder.java
index 18229f07e..a32219b6e 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelBuilder.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelUtils.java
index 43da8001c..859537f93 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasModelUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -39,11 +43,6 @@ import java.util.*;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;
 
-/**
- * Utility functionality to import keras models
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasModelUtils {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasOptimizerUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasOptimizerUtils.java
index c489f6b0e..7324c615f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasOptimizerUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasOptimizerUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.schedule.ScheduleType;
 
 import java.util.Map;
 
-/**
- * Utility functionality for keras optimizers
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasOptimizerUtils {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasRegularizerUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasRegularizerUtils.java
index 1c96c89ff..8d1cef45f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasRegularizerUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasRegularizerUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.utils;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/KerasTestUtils.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/KerasTestUtils.java
index 27aa340e8..7b9d25445 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/KerasTestUtils.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/KerasTestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/MiscTests.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/MiscTests.java
index 4a379dbbd..012028d26 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/MiscTests.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/MiscTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/Temp.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/Temp.java
index a93eb558c..2ac8c1c69 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/Temp.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/Temp.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.modelimport.keras;
 
 public class Temp {
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/TestTFKerasModelImport.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/TestTFKerasModelImport.java
deleted file mode 100644
index d066017c7..000000000
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/TestTFKerasModelImport.java
+++ /dev/null
@@ -1,147 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nn.modelimport.keras;
-
-import org.apache.commons.io.FileUtils;
-import org.datavec.python.keras.Model;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nn.graph.ComputationGraph;
-import org.junit.Assert;
-import org.junit.Rule;
-import org.junit.Test;
-import org.junit.rules.TemporaryFolder;
-import org.junit.runner.RunWith;
-import org.junit.runners.Parameterized;
-import org.nd4j.common.resources.Resources;
-import org.nd4j.common.tests.ResourceUtils;
-import org.nd4j.linalg.api.buffer.DataType;
-import org.nd4j.linalg.api.concurrency.AffinityManager;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-
-import java.io.File;
-import java.util.List;
-
-
-@RunWith(Parameterized.class)
-public class TestTFKerasModelImport extends BaseDL4JTest{
-
-    @Rule
-    public TemporaryFolder testDir = new TemporaryFolder();
-
-    private String modelFile;
-
-    @Override
-    public long getTimeoutMilliseconds(){
-        return 300000;
-    } // installing TF will take a while
-
-
-    @Parameterized.Parameters(name = "file={0}")
-    public static Object[] params() throws Exception {
-        List paths = ResourceUtils.listClassPathFiles("modelimport/keras/tfkeras", true, false);
-       return paths.toArray(new String[0]);
-    }
-
-    public TestTFKerasModelImport(String modelFile){
-        this.modelFile = modelFile;
-    }
-
-    @Test
-    public void testModelImport() throws Exception{
-        testModelImportWithData(modelFile);
-    }
-
-    private void testModelImportWithData(String path) throws Exception{
-        System.out.println(path);
-        // TODO multi input/output
-        INDArray inputArray;
-        INDArray expectedOutputArray;
-        File f = Resources.asFile(path);        //May in in JAR that HDF5 can't read from
-        File modelFile = new File(testDir.getRoot(), f.getName());
-        FileUtils.copyFile(f, modelFile);
-
-        synchronized (Hdf5Archive.LOCK_OBJECT){
-            Hdf5Archive hdf5Archive = new Hdf5Archive(modelFile.getAbsolutePath());
-            List rootGroups = hdf5Archive.getGroups();
-            if (rootGroups.contains("data")){
-                String inputName = hdf5Archive.readAttributeAsString("input_names", "data");
-                String outputName = hdf5Archive.readAttributeAsString("output_names", "data");
-                inputArray = hdf5Archive.readDataSet(inputName, "data");
-                expectedOutputArray = hdf5Archive.readDataSet(outputName, "data");
-            }
-            else{
-                hdf5Archive.close();
-                return;
-            }
-            hdf5Archive.close();
-        }
-        INDArray outputArray;
-
-        ComputationGraph dl4jModel = KerasModelImport.importKerasModelAndWeights(path);
-        outputArray = dl4jModel.outputSingle(inputArray);
-
-        expectedOutputArray = expectedOutputArray.castTo(DataType.FLOAT);
-        outputArray = outputArray.castTo(DataType.FLOAT);
-        if (path.contains("misc_")){
-            //shape relaxation
-            expectedOutputArray = expectedOutputArray.reshape( -1);
-            outputArray = outputArray.reshape(-1);
-        }
-
-        System.out.println(outputArray.toString());
-        System.out.println(expectedOutputArray.toString());
-        Assert.assertArrayEquals(expectedOutputArray.shape(), outputArray.shape());
-        Assert.assertTrue(expectedOutputArray.equalsWithEps(outputArray, 1e-3));
-    }
-
-    private void testModelImportWithKeras(String path) throws Exception{
-        Model kerasModel = new Model(path);
-        ComputationGraph dl4jModel = KerasModelImport.importKerasModelAndWeights(path);
-        Assert.assertEquals(kerasModel.numInputs(), dl4jModel.getNumInputArrays());
-        Assert.assertEquals(kerasModel.numOutputs(), dl4jModel.getNumOutputArrays());
-        INDArray[] kerasInputArrays = new INDArray[kerasModel.numInputs()];
-        INDArray[] dl4jInputArrays = new INDArray[kerasModel.numInputs()];
-
-        for (int i = 0; i < kerasInputArrays.length; i ++) {
-            long[] shape = kerasModel.inputShapeAt(i);
-            for (int j = 0; j < shape.length; j++) {
-                if (shape[j] < 0) {
-                    shape[j] = 1;
-                }
-            }
-
-            kerasInputArrays[i] = Nd4j.rand(shape);
-        }
-
-        INDArray[] kerasOut = kerasModel.predict(kerasInputArrays);
-        INDArray[] dl4jOut = dl4jModel.output(dl4jInputArrays);
-
-        Assert.assertEquals(kerasOut.length, dl4jOut.length);
-
-        for (int i = 0; i < kerasOut.length; i++){
-            INDArray kerasOutArr = kerasOut[i];
-            kerasOutArr = kerasOutArr.reshape(1, -1);// bit of relaxation on shape
-            kerasOutArr= kerasOutArr.castTo(DataType.DOUBLE);
-            Nd4j.getAffinityManager().ensureLocation(dl4jOut[i], AffinityManager.Location.HOST);
-            INDArray dl4jOutArr = dl4jOut[i].reshape(1, -1);
-            System.out.println(kerasOutArr.shapeInfoToString());
-            System.out.println(dl4jOutArr.shapeInfoToString());
-            Assert.assertEquals(kerasOutArr, dl4jOutArr);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/DeepCTRLambdaTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/DeepCTRLambdaTest.java
new file mode 100644
index 000000000..7b8427460
--- /dev/null
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/DeepCTRLambdaTest.java
@@ -0,0 +1,120 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.nn.modelimport.keras.configurations;
+
+import org.deeplearning4j.nn.conf.inputs.InputType;
+import org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer;
+import org.deeplearning4j.nn.graph.ComputationGraph;
+import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
+import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
+import org.junit.Test;
+import org.nd4j.autodiff.samediff.SDVariable;
+import org.nd4j.autodiff.samediff.SameDiff;
+import org.nd4j.common.io.ClassPathResource;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import java.io.InputStream;
+import java.util.UUID;
+
+public class DeepCTRLambdaTest {
+    class TensorsSum extends SameDiffLambdaLayer {
+
+        @Override
+        public SDVariable defineLayer(SameDiff sameDiff, SDVariable layerInput) {
+            return  layerInput.sum("tensors_sum-" + UUID.randomUUID().toString(),false,1);
+        }
+
+        @Override
+        public InputType getOutputType(int layerIndex, InputType inputType) {
+            return inputType;
+        }
+    }
+
+    class TensorsSquare extends SameDiffLambdaLayer {
+
+        @Override
+        public SDVariable defineLayer(SameDiff sameDiff, SDVariable layerInput) {
+            return layerInput.mul("tensor_square-" + UUID.randomUUID().toString(),layerInput);
+        }
+
+        @Override
+        public InputType getOutputType(int layerIndex, InputType inputType) {
+            return inputType;
+        }
+    }
+
+    class Lambda1 extends SameDiffLambdaLayer {
+
+        @Override
+        public SDVariable defineLayer(SameDiff sameDiff, SDVariable layerInput) {
+            return layerInput.mul("lambda1-" + UUID.randomUUID().toString(),0.5);
+        }
+
+        @Override
+        public InputType getOutputType(int layerIndex, InputType inputType) {
+            return inputType;
+        }
+    }
+
+    class TensorMean extends SameDiffLambdaLayer {
+
+        @Override
+        public SDVariable defineLayer(SameDiff sameDiff, SDVariable layerInput) {
+            if(this.layerName.equals("concat_embed_2d") || this.layerName.equals("cat_embed_2d_genure_mean"))
+                return layerInput.mean("mean_pooling-" + UUID.randomUUID().toString(),true,1);
+            else
+                return layerInput.mean("mean_pooling-" + UUID.randomUUID().toString(),false,1);
+        }
+
+        @Override
+        public InputType getOutputType(int layerIndex, InputType inputType) {
+            return inputType;
+        }
+    }
+
+
+    @Test
+    public void testDeepCtr() throws Exception {
+        KerasLayer.registerLambdaLayer("sum_of_tensors",  new TensorsSum());
+        KerasLayer.registerLambdaLayer("square_of_tensors",  new TensorsSquare());
+        KerasLayer.registerLambdaLayer("lambda_1",  new Lambda1());
+        KerasLayer.registerLambdaLayer("cat_embed_2d_genure_mean", new TensorMean());
+        KerasLayer.registerLambdaLayer("embed_1d_mean",  new TensorMean());
+
+
+        ClassPathResource classPathResource = new ClassPathResource("modelimport/keras/examples/deepfm/deepfm.h5");
+        try(InputStream inputStream = classPathResource.getInputStream();
+            INDArray input0 = Nd4j.createNpyFromInputStream(new ClassPathResource("modelimport/keras/examples/deepfm/deepfm_x_0.npy").getInputStream());
+            INDArray input1 = Nd4j.createNpyFromInputStream(new ClassPathResource("modelimport/keras/examples/deepfm/deepfm_x_1.npy").getInputStream());
+            INDArray input2 = Nd4j.createNpyFromInputStream(new ClassPathResource("modelimport/keras/examples/deepfm/deepfm_x_2.npy").getInputStream());
+            INDArray input3 = Nd4j.createNpyFromInputStream(new ClassPathResource("modelimport/keras/examples/deepfm/deepfm_x_3.npy").getInputStream())) {
+
+            INDArray input0Reshaped = input0.reshape(input0.length(),1);
+
+            ComputationGraph computationGraph = KerasModelImport.importKerasModelAndWeights(inputStream);
+            computationGraph.output(input0Reshaped,input1,input2,input3);
+        }
+    }
+
+
+
+}
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/FullModelComparisons.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/FullModelComparisons.java
index 22d8cdc79..b8ebd522c 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/FullModelComparisons.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/FullModelComparisons.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.configurations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/JsonTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/JsonTest.java
index c95a6a8bb..51b6730ff 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/JsonTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/JsonTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.configurations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras1ModelConfigurationTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras1ModelConfigurationTest.java
index d7772f32f..c8e049795 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras1ModelConfigurationTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras1ModelConfigurationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.configurations;
 
@@ -29,12 +33,6 @@ import org.nd4j.common.resources.Resources;
 import java.io.InputStream;
 
 
-/**
- * Unit tests for Keras1 model configuration import.
- *
- * @author Max Pumperla
- */
-
 @Slf4j
 public class Keras1ModelConfigurationTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java
index 926f1422c..fb605da90 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.configurations;
 
@@ -43,12 +47,6 @@ import static junit.framework.TestCase.assertTrue;
 import static org.junit.Assert.assertArrayEquals;
 
 
-/**
- * Unit tests for Keras2 model configuration import.
- *
- * @author Max Pumperla
- */
-
 @Slf4j
 public class Keras2ModelConfigurationTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasInitilizationTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasInitilizationTest.java
index 583634264..c7367c937 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasInitilizationTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasInitilizationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.configurations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasModelImportTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasModelImportTest.java
index 9fc21a7ae..51a89f963 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasModelImportTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasModelImportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.configurations;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLayerTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLayerTest.java
index cdf5faca3..2c0b1edb0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLayerTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLayerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.e2e;
 
@@ -34,13 +38,6 @@ import org.junit.rules.TemporaryFolder;
 import java.io.File;
 import java.net.URL;
 
-/**
- * Test import of Keras custom layers. Must be run manually, since user must download weights and config from
- * http://blob.deeplearning4j.org/models/googlenet_keras_weights.h5
- * http://blob.deeplearning4j.org/models/googlenet_config.json
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class KerasCustomLayerTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLossTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLossTest.java
index 23c46835e..0d0d2b7a7 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLossTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasCustomLossTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.e2e;
 
@@ -36,11 +40,6 @@ import java.nio.file.Files;
 import java.nio.file.StandardCopyOption;
 
 
-/**
- * Test importing Keras models with custom loss.
- *
- * @author Paul Dubs
- */
 public class KerasCustomLossTest extends BaseDL4JTest {
 
     @Rule
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasLambdaTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasLambdaTest.java
index b4abeef90..3bbc65921 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasLambdaTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasLambdaTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.e2e;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasModelEndToEndTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasModelEndToEndTest.java
index 01566932a..a39aa9d5e 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasModelEndToEndTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasModelEndToEndTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.e2e;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000PredictTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000PredictTest.java
index 6c7a93f24..3144bdb8f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000PredictTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000PredictTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.e2e;
 
@@ -33,19 +37,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.io.File;
 
-/**
- * Import previously stored YOLO9000 Keras net from https://github.com/allanzelener/YAD2K.
- * 

- * git clone https://github.com/allanzelener/YAD2K
- * cd YAD2K
- * wget http://pjreddie.com/media/files/yolo.weights
- * wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolo.cfg
- * python3 yad2k.py yolo.cfg yolo.weights yolo.h5
- * 

- * To run this test put the output of this script on the test resources path.
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasYolo9000PredictTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000Test.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000Test.java
index c8ff853e5..34981cbfd 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000Test.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasYolo9000Test.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.e2e;
 
@@ -33,19 +37,6 @@ import java.io.InputStream;
 import java.nio.file.Files;
 import java.nio.file.StandardCopyOption;
 
-/**
- * Import previously stored YOLO9000 Keras net from https://github.com/allanzelener/YAD2K.
- * 

- * git clone https://github.com/allanzelener/YAD2K
- * cd YAD2K
- * wget http://pjreddie.com/media/files/yolo.weights
- * wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolo.cfg
- * python3 yad2k.py yolo.cfg yolo.weights yolo.h5
- * 

- * To run this test put the output of this script on the test resources path.
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class KerasYolo9000Test extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasLeakyReLUTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasLeakyReLUTest.java
index e16da1bfa..5d4e3e97b 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasLeakyReLUTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasLeakyReLUTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activation;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasPReLUTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasPReLUTest.java
index ee7c0ab48..eb52d30ec 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasPReLUTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasPReLUTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activation;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasThresholdedReLUTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasThresholdedReLUTest.java
index 1b24c1ff2..d26f5d746 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasThresholdedReLUTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activation/KerasThresholdedReLUTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activation;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution1DTest.java
index 1b3c98f60..95f137b3d 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution2DTest.java
index 411127bd7..e43769c4a 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasAtrousConvolution2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution1DTest.java
index f12d66f56..f08249c22 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution2DTest.java
index 8f61d7038..072da9f28 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution3DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution3DTest.java
index 11177c5dd..69b94bdda 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution3DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasConvolution3DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping1DTest.java
index 86fb5591b..b45a7e041 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping2DTest.java
index 88226704e..e05af2469 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping3DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping3DTest.java
index 392195e0e..fbc3b4f8b 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping3DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasCropping3DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDeconvolution2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDeconvolution2DTest.java
index 177e2e717..87940e400 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDeconvolution2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDeconvolution2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDepthwiseConvolution2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDepthwiseConvolution2DTest.java
index d0fdb5df4..50e8d4ca9 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDepthwiseConvolution2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasDepthwiseConvolution2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasSeparableConvolution2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasSeparableConvolution2DTest.java
index f8ec7e163..4b8cc6da5 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasSeparableConvolution2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasSeparableConvolution2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling1DTest.java
index c93a0fe32..6c2c2b6ea 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling2DTest.java
index 8033f24e7..35ac1f5f8 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling3DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling3DTest.java
index 578d92276..c2304a90d 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling3DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling3DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding1DTest.java
index aa2d96653..8fde00deb 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding2DTest.java
index 08d6e57a9..34fc87778 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding3DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding3DTest.java
index 960a0194e..9a0c61ec9 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding3DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasZeroPadding3DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivationLayer.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivationLayer.java
index e19178ea3..be16c50bd 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivationLayer.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivationLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDenseTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDenseTest.java
index f2ad5c242..cecb4a087 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDenseTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDenseTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropoutTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropoutTest.java
index 943a76b26..d3a395bf9 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropoutTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropoutTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMaskingTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMaskingTest.java
index 76e5c6239..20b350171 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMaskingTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMaskingTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermuteTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermuteTest.java
index 218e2fc7c..d3283f511 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermuteTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermuteTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVectorTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVectorTest.java
index 2a448bf4c..72d420252 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVectorTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVectorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshapeTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshapeTest.java
index 7adfa09c7..1e46c90ae 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshapeTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshapeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout2DTest.java
index dc17a4946..ccb785882 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.core;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbeddingTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbeddingTest.java
index 55274209d..0d1d09dce 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbeddingTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbeddingTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.embeddings;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/flatten/KerasFlatten3dTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/flatten/KerasFlatten3dTest.java
new file mode 100644
index 000000000..7aa7cd5a4
--- /dev/null
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/flatten/KerasFlatten3dTest.java
@@ -0,0 +1,61 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.nn.modelimport.keras.layers.flatten;
+
+import org.deeplearning4j.nn.conf.InputPreProcessor;
+import org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor;
+import org.deeplearning4j.nn.graph.ComputationGraph;
+import org.deeplearning4j.nn.graph.vertex.GraphVertex;
+import org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex;
+import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
+import org.junit.Test;
+import org.nd4j.common.io.ClassPathResource;
+
+import java.io.InputStream;
+
+import static org.junit.Assert.*;
+
+public class KerasFlatten3dTest {
+
+
+    @Test
+    public void testFlatten3d() throws Exception {
+        ClassPathResource classPathResource = new ClassPathResource("modelimport/keras/weights/flatten_3d.hdf5");
+        try(InputStream inputStream = classPathResource.getInputStream()) {
+            ComputationGraph computationGraph = KerasModelImport.importKerasModelAndWeights(inputStream);
+            assertNotNull(computationGraph);
+            assertEquals(3,computationGraph.getVertices().length);
+            GraphVertex[] vertices = computationGraph.getVertices();
+            assertTrue(vertices[1] instanceof PreprocessorVertex);
+            PreprocessorVertex preprocessorVertex = (PreprocessorVertex) vertices[1];
+            InputPreProcessor preProcessor = preprocessorVertex.getPreProcessor();
+            assertTrue(preProcessor instanceof Cnn3DToFeedForwardPreProcessor);
+            Cnn3DToFeedForwardPreProcessor cnn3DToFeedForwardPreProcessor = (Cnn3DToFeedForwardPreProcessor) preProcessor;
+            assertTrue(cnn3DToFeedForwardPreProcessor.isNCDHW());
+            assertEquals(10,cnn3DToFeedForwardPreProcessor.getInputDepth());
+            assertEquals(10,cnn3DToFeedForwardPreProcessor.getInputHeight());
+            assertEquals(1,cnn3DToFeedForwardPreProcessor.getNumChannels());
+            assertEquals(10,cnn3DToFeedForwardPreProcessor.getInputWidth());
+            System.out.println(cnn3DToFeedForwardPreProcessor);
+        }
+    }
+
+}
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1DTest.java
index cc91c89bb..defc4a8ad 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.local;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2DTest.java
index cb05d4597..8e7a49596 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.local;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropoutTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropoutTest.java
index 3a632f2b4..14e51a1c6 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropoutTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropoutTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.noise;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropoutTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropoutTest.java
index b759dd370..f55b98c2b 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropoutTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropoutTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.noise;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoiseTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoiseTest.java
index be01a06c5..c4d2d642c 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoiseTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoiseTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.noise;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalizationTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalizationTest.java
index e240b19f0..d07ac8fe1 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalizationTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalizationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.normalization;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1DTest.java
index 25acee41a..c9ce8d8d2 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2DTest.java
index 137f8ca00..6dd8d015f 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3DTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3DTest.java
index 153e41103..f9bb4f667 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3DTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3DTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.pooling;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTMTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTMTest.java
index 60b1044d9..e8b541b77 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTMTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTMTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnnTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnnTest.java
index 2abcd3e2a..0da6edef8 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnnTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnnTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectionalTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectionalTest.java
index 0613ecf67..ce78746d0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectionalTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectionalTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.layers.wrappers;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/optimizers/OptimizerImport.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/optimizers/OptimizerImport.java
index 0e8d6feb8..47bcaa328 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/optimizers/OptimizerImport.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/optimizers/OptimizerImport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.optimizers;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorImportTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorImportTest.java
index 035d0025d..8748de768 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorImportTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorImportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.sequence;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorTest.java
index 7495446ee..20a9d18e3 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/sequence/TimeSeriesGeneratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.sequence;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerImportTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerImportTest.java
index f464384df..26fc8c932 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerImportTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerImportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.text;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerTest.java
index cebb22fb4..5a173a9d2 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/preprocessing/text/TokenizerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.preprocessing.text;
 
diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/weights/KerasWeightSettingTests.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/weights/KerasWeightSettingTests.java
index d32f07496..830b4cde0 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/weights/KerasWeightSettingTests.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/weights/KerasWeightSettingTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.modelimport.keras.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/pom.xml b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/pom.xml
index 9820c29f2..ee029d09f 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/pom.xml
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/pom.xml
@@ -1,60 +1,44 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-nearestneighbors-parent
         org.deeplearning4j
+        deeplearning4j-nearestneighbors-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-nearestneighbor-server
     jar
 
     deeplearning4j-nearestneighbor-server
 
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-surefire-plugin
-                    
-                        -Ddtype=float -Dfile.encoding=UTF-8 -Xmx8g
-                        
-                            
-                            *.java
-                            **/*.java
-                        
-                    
-                
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
+    
+        1.8
+    
 
     
         
@@ -67,19 +51,16 @@
             deeplearning4j-core
             ${project.version}
         
-
         
             io.vertx
             vertx-core
             ${vertx.version}
         
-
         
             io.vertx
             vertx-web
             ${vertx.version}
         
-
         
             com.mashape.unirest
             unirest-java
@@ -97,7 +78,6 @@
             jcommander
             ${jcommander.version}
         
-
         
             ch.qos.logback
             logback-classic
@@ -111,6 +91,31 @@
         
     
 
+    
+        
+            
+                org.apache.maven.plugins
+                maven-surefire-plugin
+                
+                    -Dfile.encoding=UTF-8 -Xmx8g
+                    
+                        
+                        *.java
+                        **/*.java
+                    
+                
+            
+            
+                org.apache.maven.plugins
+                maven-compiler-plugin
+                
+                    ${java.compile.version}
+                    ${java.compile.version}
+                
+            
+        
+    
+
     
         
             test-nd4j-native
@@ -123,7 +128,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighbor.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighbor.java
index 2adb88fa2..88f3a7b46 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighbor.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighbor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.server;
 
@@ -27,9 +31,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Created by agibsonccc on 4/27/17.
- */
 @AllArgsConstructor
 @Builder
 public class NearestNeighbor {
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborsServer.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborsServer.java
index 33c651dee..4868bd2ce 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborsServer.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/main/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborsServer.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.server;
 
@@ -44,16 +47,6 @@ import org.nd4j.serde.binary.BinarySerde;
 import java.io.File;
 import java.util.*;
 
-/**
- * A rest server for using an
- * {@link VPTree} based on loading an ndarray containing
- * the data points for the path
- * The input values are an {@link CSVRecord}
- * which (based on the input schema) will automatically
- * have their values transformed.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class NearestNeighborsServer extends AbstractVerticle {
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborTest.java
index 4555511ce..dc63f54f1 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/java/org/deeplearning4j/nearestneighbor/server/NearestNeighborTest.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.server;
 
@@ -41,9 +44,6 @@ import java.util.concurrent.Executors;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by agibsonccc on 4/27/17.
- */
 public class NearestNeighborTest extends BaseDL4JTest {
 
     @Rule
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/resources/logback.xml
index 7d49481af..7e0af0fa1 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbor-server/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/pom.xml b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/pom.xml
index eed007f32..55d7b83f9 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/pom.xml
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/pom.xml
@@ -1,35 +1,41 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-nearestneighbors-parent
         org.deeplearning4j
+        deeplearning4j-nearestneighbors-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-nearestneighbors-client
     jar
 
     deeplearning4j-nearestneighbors-client
 
-
-
     
         
             com.mashape.unirest
@@ -43,7 +49,6 @@
         
     
 
-
     
         
             test-nd4j-native
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/src/main/java/org/deeplearning4j/nearestneighbor/client/NearestNeighborsClient.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/src/main/java/org/deeplearning4j/nearestneighbor/client/NearestNeighborsClient.java
index 4c14f4c3d..570e75bf9 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/src/main/java/org/deeplearning4j/nearestneighbor/client/NearestNeighborsClient.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-client/src/main/java/org/deeplearning4j/nearestneighbor/client/NearestNeighborsClient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.client;
 
@@ -30,13 +34,6 @@ import org.nd4j.shade.jackson.core.JsonProcessingException;
 
 import java.io.IOException;
 
-/**
- * Client for the nearest neighbors server.
- *  To create a client, pass in a host port combination with the following format:
- *  http://host:port
- *
- * @author Adam Gibson
- */
 @AllArgsConstructor
 public class NearestNeighborsClient {
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/pom.xml b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/pom.xml
index 902a67ae7..09a72628e 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/pom.xml
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/pom.xml
@@ -1,37 +1,40 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-nearestneighbors-parent
         org.deeplearning4j
+        deeplearning4j-nearestneighbors-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-nearestneighbors-model
     jar
 
     deeplearning4j-nearestneighbors-model
-    http://maven.apache.org
-
-    
-        UTF-8
-    
 
     
         
@@ -47,7 +50,6 @@
         
     
 
-
     
         
             test-nd4j-native
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/Base64NDArrayBody.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/Base64NDArrayBody.java
index 83813e3d0..c68f48ebe 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/Base64NDArrayBody.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/Base64NDArrayBody.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.model;
 
@@ -23,9 +27,6 @@ import lombok.NoArgsConstructor;
 
 import java.io.Serializable;
 
-/**
- * Created by agibsonccc on 12/24/16.
- */
 @Data
 @AllArgsConstructor
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/BatchRecord.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/BatchRecord.java
index a315d0402..f2a9475a1 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/BatchRecord.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/BatchRecord.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.model;
 
@@ -26,9 +30,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Created by agibsonccc on 1/21/17.
- */
 @Data
 @AllArgsConstructor
 @Builder
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/CSVRecord.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/CSVRecord.java
index b40a4e091..ef642bf0d 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/CSVRecord.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/CSVRecord.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.model;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.Serializable;
 
-/**
- * Created by agibsonccc on 12/24/16.
- */
 @Data
 @AllArgsConstructor
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborRequest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborRequest.java
index 06d4006c1..5044c6b35 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborRequest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborRequest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.model;
 
@@ -20,9 +24,6 @@ import lombok.Data;
 
 import java.io.Serializable;
 
-/**
- * Created by agibsonccc on 4/26/17.
- */
 @Data
 public class NearestNeighborRequest implements Serializable {
     private int k;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResult.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResult.java
index e3134bbf7..768b0dfc9 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResult.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResult.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.model;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.NoArgsConstructor;
-/**
- * Created by agibsonccc on 4/26/17.
- */
 @Data
 @AllArgsConstructor
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResults.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResults.java
index 0075c620b..d95c68fb6 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResults.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/deeplearning4j-nearestneighbors-model/src/main/java/org/deeplearning4j/nearestneighbor/model/NearestNeighborsResults.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nearestneighbor.model;
 
@@ -24,9 +28,6 @@ import lombok.NoArgsConstructor;
 import java.io.Serializable;
 import java.util.List;
 
-/**
- * Created by agibsonccc on 4/27/17.
- */
 @Data
 @Builder
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/pom.xml b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/pom.xml
index 6987dc556..5df85229d 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/pom.xml
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/pom.xml
@@ -1,37 +1,41 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-nearestneighbors-parent
         org.deeplearning4j
+        deeplearning4j-nearestneighbors-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nearestneighbor-core
     jar
 
     nearestneighbor-core
 
-    
-        UTF-8
-    
-
     
         
             org.nd4j
@@ -41,7 +45,6 @@
         
             junit
             junit
-            test
         
         
             ch.qos.logback
@@ -59,7 +62,6 @@
             ${project.version}
             test
         
-
         
             joda-time
             joda-time
@@ -74,7 +76,6 @@
         
     
 
-
     
         
             test-nd4j-native
@@ -87,7 +88,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/BaseClusteringAlgorithm.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/BaseClusteringAlgorithm.java
index 9ff125ad9..e7e467ad3 100755
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/BaseClusteringAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/BaseClusteringAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.algorithm;
 
@@ -41,14 +45,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.ExecutorService;
 
-/**
- *
- * adapted to ndarray matrices
- *
- * @author Adam Gibson
- * @author Julien Roch
- *
- */
 @Slf4j
 @NoArgsConstructor(access = AccessLevel.PROTECTED)
 public class BaseClusteringAlgorithm implements ClusteringAlgorithm, Serializable {
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/ClusteringAlgorithm.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/ClusteringAlgorithm.java
index b5fa5c1c5..02ac17f39 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/ClusteringAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/ClusteringAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.algorithm;
 
@@ -21,12 +25,6 @@ import org.deeplearning4j.clustering.cluster.Point;
 
 import java.util.List;
 
-/**
- * An interface for a clustering
- * algorithm.
- * This is for applying a clustering
- * algorithm to a list of points.
- */
 public interface ClusteringAlgorithm {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/Distance.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/Distance.java
index 6aff39dbb..657df3dfa 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/Distance.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/algorithm/Distance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.algorithm;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/CentersHolder.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/CentersHolder.java
index 25542dc8f..8a39d8bc3 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/CentersHolder.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/CentersHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.cluster;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Cluster.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Cluster.java
index c9b1d806c..7f4f221e5 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Cluster.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Cluster.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.cluster;
 
@@ -26,11 +30,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.UUID;
 
-/**
- * A cluster.
- *
- *
- */
 @Data
 public class Cluster implements Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterSet.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterSet.java
index d7241eed9..dabfdc7a4 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterSet.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.cluster;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterUtils.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterUtils.java
index 54f355b67..ac1786538 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterUtils.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/ClusterUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.cluster;
 
@@ -36,10 +40,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.*;
 import java.util.concurrent.ExecutorService;
 
-/**
- *
- * Basic cluster utilities
- */
 @NoArgsConstructor(access = AccessLevel.PRIVATE)
 @Slf4j
 public class ClusterUtils {
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Point.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Point.java
index 86bbe439a..14147b004 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Point.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/Point.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.cluster;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/PointClassification.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/PointClassification.java
index 9f99287d0..6951b4a03 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/PointClassification.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/cluster/PointClassification.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.cluster;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ClusteringAlgorithmCondition.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ClusteringAlgorithmCondition.java
index f5ee6b195..852a58920 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ClusteringAlgorithmCondition.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ClusteringAlgorithmCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.condition;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ConvergenceCondition.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ConvergenceCondition.java
index 93fc2b8bc..6c2659f60 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ConvergenceCondition.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/ConvergenceCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.condition;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/FixedIterationCountCondition.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/FixedIterationCountCondition.java
index cf2df786b..7eda7a7ec 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/FixedIterationCountCondition.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/FixedIterationCountCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.condition;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/VarianceVariationCondition.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/VarianceVariationCondition.java
index 783b67fde..ff91dd7eb 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/VarianceVariationCondition.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/condition/VarianceVariationCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.condition;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterInfo.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterInfo.java
index dd78e30f0..2b78ee3e8 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterInfo.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.info;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterSetInfo.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterSetInfo.java
index cae103f10..3ddfd1b25 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterSetInfo.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/info/ClusterSetInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.info;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationHistory.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationHistory.java
index 82dea11ca..0854e5eb1 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationHistory.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationHistory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.iteration;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationInfo.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationInfo.java
index d9f32f58e..0036f3c47 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationInfo.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/iteration/IterationInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.iteration;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/HyperRect.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/HyperRect.java
index 013263629..c3e0bc418 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/HyperRect.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/HyperRect.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.kdtree;
 
@@ -23,9 +27,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.io.Serializable;
 
-/**
- * Created by agibsonccc on 12/29/14.
- */
 public class HyperRect implements Serializable {
 
     //private List points;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/KDTree.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/KDTree.java
index 68ccf6281..fd77c8342 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/KDTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kdtree/KDTree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.kdtree;
 
@@ -28,11 +32,6 @@ import java.util.Collections;
 import java.util.Comparator;
 import java.util.List;
 
-/**
- * KDTree based on: https://github.com/nicky-zs/kdtree-python/blob/master/kdtree.py
- *
- * @author Adam Gibson
- */
 public class KDTree implements Serializable {
 
     private KDNode root;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kmeans/KMeansClustering.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kmeans/KMeansClustering.java
index e95cd5c9e..00b5bb3e9 100755
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kmeans/KMeansClustering.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/kmeans/KMeansClustering.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.kmeans;
 
@@ -22,11 +26,6 @@ import org.deeplearning4j.clustering.strategy.ClusteringStrategy;
 import org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy;
 
 
-/**
- *
- * @author Julien Roch
- *
- */
 public class KMeansClustering extends BaseClusteringAlgorithm {
 
     private static final long serialVersionUID = 8476951388145944776L;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/LSH.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/LSH.java
index e4e6e99fd..b9fbffa7a 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/LSH.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/LSH.java
@@ -1,31 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.lsh;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This interface gathers the minimal elements for an LSH implementation
- *
- * See chapter 3 of :
- * _Mining Massive Datasets_, Anand Rajaraman and Jeffrey Ullman
- * http://www.mmds.org/
- *
- */
 public interface LSH {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSH.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSH.java
index 75e342e78..7b9873d73 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSH.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSH.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.lsh;
 
@@ -34,28 +38,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 import java.util.Arrays;
 
 
-/**
- * This class implements Entropy LSH for the cosine distance, in order to preserve memory for large datasets.
- *
- * Entropy SLH is the LSH scheme of
- *
- * _Entropy based nearest neighbor search in high dimensions_
- * R Panigrahy - SIAM 2006
- * https://arxiv.org/pdf/cs/0510019.pdf
- *
- * To read more about LSH, in particular for the Cosine distance, see
- * chapter 3 of :
- * _Mining Massive Datasets_, Anand Rajaraman and Jeffrey Ullman
- * http://www.mmds.org/
- *
- * The original development of LSH for the cosine distance is from
- * Similarity estimation techniques from rounding algorithms
- * MS Charikar - STOCS, 2002
- *
- * Note for high-precision or distributed settings, you should not
- * use this and rather extend this to layered LSH ( https://arxiv.org/abs/1210.7057 )
- *
- */
 public class RandomProjectionLSH implements LSH {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimization.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimization.java
index 231939bf3..b65571de3 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimization.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.optimisation;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimizationType.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimizationType.java
index e2d09b94f..a2220010e 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimizationType.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/optimisation/ClusteringOptimizationType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.optimisation;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/Cell.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/Cell.java
index 3db3aff91..cb82b6f87 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/Cell.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/Cell.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.quadtree;
 
@@ -20,10 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * A cell representing a bounding box forthe quad tree
- * @author Adam Gibson
- */
 public class Cell implements Serializable {
     private double x, y, hw, hh;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/QuadTree.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/QuadTree.java
index 0fbf8afec..20d216b44 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/QuadTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/quadtree/QuadTree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.quadtree;
 
@@ -25,16 +29,6 @@ import java.io.Serializable;
 
 import static java.lang.Math.max;
 
-/**
- * QuadTree: http://en.wikipedia.org/wiki/Quadtree
- *
- * Reference impl based on the paper by:
- * https://arxiv.org/pdf/1301.3342v2.pdf
- *
- * Primarily focused on 2 dimensions, may expand later if there's a reason.
- *
- * @author Adam Gibson
- */
 public class QuadTree implements Serializable {
     private QuadTree parent, northWest, northEast, southWest, southEast;
     private boolean isLeaf = true;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPForest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPForest.java
index a5966af22..f814025d5 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPForest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPForest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPHyperPlanes.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPHyperPlanes.java
index 0d4b856f2..979013797 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPHyperPlanes.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPHyperPlanes.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPNode.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPNode.java
index faf054569..9a103469e 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPNode.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPNode.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPTree.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPTree.java
index 1360a5c92..7fbca2b90 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPTree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPUtils.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPUtils.java
index d9653ff10..0bd2574e7 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPUtils.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/randomprojection/RPUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
@@ -28,11 +32,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- * A port of: https://github.com/lyst/rpforest to nd4j
- *
- * @author
- */
 public class RPUtils {
 
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/Cell.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/Cell.java
index 2781f2ce4..c89e72ab1 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/Cell.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/Cell.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.sptree;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/DataPoint.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/DataPoint.java
index ae9902de0..6681d3148 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/DataPoint.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/DataPoint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.sptree;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.io.Serializable;
 
-/**
- *
- * A vector with an index and function for distance
- * @author Adam Gibson
- */
 @Data
 public class DataPoint implements Serializable {
     private int index;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapItem.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapItem.java
index 6b2f55481..a5ea6ea95 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapItem.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapItem.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.sptree;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapObject.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapObject.java
index e154a75f1..e68cf33ec 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapObject.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/HeapObject.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.sptree;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 public class HeapObject implements Serializable, Comparable {
     private int index;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java
index 442894b5a..4a1bf34e4 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.sptree;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/BaseClusteringStrategy.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/BaseClusteringStrategy.java
index 42592335b..daada687f 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/BaseClusteringStrategy.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/BaseClusteringStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.strategy;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategy.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategy.java
index 2ac66ef14..2ec9fcd47 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategy.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.strategy;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategyType.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategyType.java
index 5d67974cf..9f72bba95 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategyType.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/ClusteringStrategyType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.strategy;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/FixedClusterCountStrategy.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/FixedClusterCountStrategy.java
index a6bdd285d..18eceb34f 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/FixedClusterCountStrategy.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/FixedClusterCountStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.strategy;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/OptimisationStrategy.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/OptimisationStrategy.java
index ac697cb2b..dc9385296 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/OptimisationStrategy.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/strategy/OptimisationStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.strategy;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MathUtils.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MathUtils.java
index 0f657569e..2290c6269 100755
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MathUtils.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MathUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.util;
 
@@ -30,12 +34,6 @@ import java.util.Random;
 import java.util.Set;
 
 
-/**
- * This is a math utils class.
- *
- * @author Adam Gibson
- *
- */
 public class MathUtils {
 
     /** The natural logarithm of 2. */
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MultiThreadUtils.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MultiThreadUtils.java
index 5ca73a1ac..c147c474e 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MultiThreadUtils.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/MultiThreadUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.util;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/SetUtils.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/SetUtils.java
index 00f5be11a..eecf576d0 100755
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/SetUtils.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/util/SetUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.util;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java
index 417154cf2..e4f699289 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.vptree;
 
@@ -34,12 +38,6 @@ import java.util.*;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Vantage point tree implementation
- *
- * @author Adam Gibson
- * @author raver119@gmail.com
- */
 @Slf4j
 @Builder
 @AllArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTreeFillSearch.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTreeFillSearch.java
index 9dbc75416..2cf87d69b 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTreeFillSearch.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTreeFillSearch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.vptree;
 
@@ -24,16 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Brute force search
- * for running search
- * relative to a target
- * but forced to fill the result list
- * until the desired k is matched.
- *
- * The algorithm does this by searching
- * nearby points by k in a greedy fashion
- */
 public class VPTreeFillSearch {
     private VPTree vpTree;
     private int k;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/package-info.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/package-info.java
index 487753a00..49d19a719 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/package-info.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/package-info.java
@@ -1,22 +1,21 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/**
- * Created by agibsonccc on 1/3/15.
- * Work adapted from:
- * https://code.google.com/p/vptree/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
+
 package org.deeplearning4j.clustering.vptree;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/cluster/ClusterSetTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/cluster/ClusterSetTest.java
index 381502b93..5a83fa85b 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/cluster/ClusterSetTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/cluster/ClusterSetTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.clustering.cluster;
 
 import org.junit.Assert;
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kdtree/KDTreeTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kdtree/KDTreeTest.java
index e938dfdfe..e436d62f5 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kdtree/KDTreeTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kdtree/KDTreeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.kdtree;
 
@@ -41,9 +45,6 @@ import static java.util.concurrent.TimeUnit.SECONDS;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 1/1/15.
- */
 public class KDTreeTest extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java
index e01274a71..e3a2467ec 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.kmeans;
 
@@ -31,9 +35,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by agibsonccc on 7/2/17.
- */
 public class KMeansTest extends BaseDL4JTest {
 
     private boolean[] useKMeansPlusPlus = {true, false};
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java
index d9a041f0b..105dd368a 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.lsh;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/quadtree/QuadTreeTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/quadtree/QuadTreeTest.java
index ec304b0c1..0cb77bd1d 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/quadtree/QuadTreeTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/quadtree/QuadTreeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.quadtree;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 1/2/15.
- */
 public class QuadTreeTest extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPTreeTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPTreeTest.java
index 05bbb1cc9..abb55a7fd 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPTreeTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPTreeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPUtilsTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPUtilsTest.java
index cb3af27bc..18ca2ac9d 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPUtilsTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/randomprojection/RPUtilsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.randomprojection;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/sptree/SPTreeTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/sptree/SPTreeTest.java
index 5034a124a..0ac39083b 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/sptree/SPTreeTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/sptree/SPTreeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.sptree;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VPTreeSerializationTests.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VPTreeSerializationTests.java
index b67d5ccbf..86d34b603 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VPTreeSerializationTests.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VPTreeSerializationTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.vptree;
 
@@ -32,10 +36,6 @@ import java.util.ArrayList;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * VPTree java serialization tests
- * @author raver119@gmail.com
- */
 @Slf4j
 public class VPTreeSerializationTests extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VpTreeNodeTest.java b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VpTreeNodeTest.java
index 439165051..d5ced0cd2 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VpTreeNodeTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/vptree/VpTreeNodeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.clustering.vptree;
 
diff --git a/deeplearning4j/deeplearning4j-nearestneighbors-parent/pom.xml b/deeplearning4j/deeplearning4j-nearestneighbors-parent/pom.xml
index 70778f67d..b95ab2c73 100644
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/pom.xml
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/pom.xml
@@ -1,33 +1,41 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-nearestneighbors-parent
     pom
 
     deeplearning4j-nearestneighbors-parent
+
     
         deeplearning4j-nearestneighbor-server
         nearestneighbor-core
@@ -35,10 +43,6 @@
         deeplearning4j-nearestneighbors-model
     
 
-    
-
-    
-
     
         
             test-nd4j-native
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/pom.xml b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/pom.xml
deleted file mode 100644
index 3b0fd8944..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/pom.xml
+++ /dev/null
@@ -1,79 +0,0 @@
-
-
-
-
-    
-        deeplearning4j-nlp-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    org.deeplearning4j
-    deeplearning4j-nlp-chinese
-    1.0.0-SNAPSHOT
-
-    
-        
-            The Apache Software License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        1.6.4
-        0.9.28
-    
-    
-        
-            junit
-            junit
-            test
-        
-        
-            org.deeplearning4j
-            deeplearning4j-nlp
-            ${project.version}
-        
-        
-            org.nlpcn
-            nlp-lang
-            1.7.2
-            compile
-        
-
-        
-            org.deeplearning4j
-            deeplearning4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-        
-            test-nd4j-native
-        
-        
-            test-nd4j-cuda-11.0
-        
-    
-
-
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/Config.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/Config.java
deleted file mode 100644
index c293009e4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/Config.java
+++ /dev/null
@@ -1,231 +0,0 @@
-package org.ansj.app.crf;
-
-import org.ansj.app.crf.pojo.Element;
-import org.nlpcn.commons.lang.util.WordAlert;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class Config {
-
-    public String splitStr = "\\s+";
-
-    public Config(int[][] template) {
-        this.template = template;
-    }
-
-    public static final int TAG_NUM = 4; // 标记类型写死了4个
-
-    // 特殊字符的标注
-    public static final char BEGIN = 128;
-
-    public static final char END = 129;
-
-    public static final char NUM_BEGIN = 130;
-
-    public static final char EN_BEGIN = 140;
-
-    public static final char FEATURE_BEGIN = 150;
-
-    public static char getNum(String str) {
-        if (str.length() > 9) {
-            return NUM_BEGIN;
-        } else {
-            return (char) (NUM_BEGIN + str.length());
-        }
-    }
-
-    public static char getEn(String str) {
-        if (str.length() > 9) {
-            return EN_BEGIN;
-        } else {
-            return (char) (EN_BEGIN + str.length());
-        }
-
-    }
-
-    // 字标注类型
-    public static int S = 0;
-    public static int B = 1;
-    public static int M = 2;
-    public static int E = 3;
-
-    private int[][] template = {{-2}, {-1}, {0}, {1}, {2}, {-2, -1}, {-1, 0}, {0, 1}, {1, 2}, {-1, 1}};
-
-    public int[][] getTemplate() {
-        return template;
-    }
-
-    public void setTemplate(int[][] template) {
-        this.template = template;
-    }
-
-    /**
-     * 词语标准化
-     * 
-     * @param word
-     * @return
-     */
-    public static List wordAlert(String word) {
-
-        char[] chars = WordAlert.alertStr(word);
-
-        List list = new ArrayList<>();
-
-        StringBuilder tempSb = new StringBuilder();
-
-        int status = 0; // 1 num 2 english
-
-        Element element = null;
-
-        for (int i = 0; i < chars.length; i++) {
-
-            if (chars[i] >= '0' && chars[i] <= '9') {
-                if (status == 2) {
-                    element = new Element(Config.getNum(tempSb.toString()));
-                    element.len = tempSb.length();
-                    list.add(element);
-                    tempSb = new StringBuilder();
-                }
-                tempSb.append(chars[i]);
-                status = 1;
-            } else if (chars[i] >= 'A' && chars[i] <= 'z') {
-                if (status == 1) {
-                    element = new Element(Config.getEn(tempSb.toString()));
-                    element.len = tempSb.length();
-                    list.add(element);
-                    tempSb = new StringBuilder();
-                }
-                tempSb.append(chars[i]);
-                status = 2;
-            } else {
-                if (status == 1) {
-                    element = new Element(Config.getNum(tempSb.toString()));
-                    element.len = tempSb.length();
-                    list.add(element);
-                } else if (status == 2) {
-                    element = new Element(Config.getEn(tempSb.toString()));
-                    element.len = tempSb.length();
-                    list.add(element);
-                }
-                tempSb = new StringBuilder();
-                list.add(new Element(chars[i]));
-                status = 0;
-            }
-
-        }
-
-        if (tempSb.length() > 0) {
-            if (status == 1) {
-                element = new Element(Config.getNum(tempSb.toString()));
-                element.len = tempSb.length();
-                list.add(element);
-            } else if (status == 2) {
-                element = new Element(Config.getEn(tempSb.toString()));
-                element.len = tempSb.length();
-                list.add(element);
-            } else {
-                System.out.println("err!");
-            }
-        }
-
-        return list;
-    }
-
-    /**
-     * @param temp
-     * @return
-     */
-    public static List makeToElementList(String temp, String splitStr) {
-        String[] split = temp.split(splitStr);
-        List list = new ArrayList<>(temp.length());
-
-        for (String word : split) {
-
-            List wordAlert = wordAlert(word);
-
-            int len = wordAlert.size();
-
-            if (len == 1) {
-                wordAlert.get(0).updateTag(Config.S);
-            } else if (len == 2) {
-                wordAlert.get(0).updateTag(Config.B);
-                wordAlert.get(1).updateTag(Config.E);
-            } else if (len > 2) {
-                wordAlert.get(0).updateTag(Config.B);
-                for (int i = 1; i < len - 1; i++) {
-                    wordAlert.get(i).updateTag(Config.M);
-                }
-                wordAlert.get(len - 1).updateTag(Config.E);
-            }
-
-            list.addAll(wordAlert);
-        }
-        return list;
-    }
-
-    public List makeToElementList(String temp) {
-        return wordAlert(temp);
-    }
-
-    public char getNameIfOutArr(List list, int index) {
-        if (index < 0) {
-            return Config.BEGIN;
-        } else if (index >= list.size()) {
-            return Config.END;
-        } else {
-            return list.get(index).name;
-        }
-    }
-
-    public char getTagIfOutArr(List list, int index) {
-        if (index < 0 || index >= list.size()) {
-            return 0;
-        } else {
-            return (char) list.get(index).getTag();
-        }
-    }
-
-    /**
-     * 得到一个位置的所有特征
-     * 
-     * @param list
-     * @param index
-     * @return KeyValue(词语,featureLength*tagNum)
-     */
-    public char[][] makeFeatureArr(List list, int index) {
-        char[][] result = new char[template.length][];
-        char[] chars = null;
-        int len = 0;
-        int i = 0;
-        for (; i < template.length; i++) {
-            if (template[i].length == 0) {
-                continue;
-            }
-            chars = new char[template[i].length + 1];
-            len = chars.length - 1;
-            for (int j = 0; j < len; j++) {
-                chars[j] = getNameIfOutArr(list, index + template[i][j]);
-            }
-            chars[len] = (char) (FEATURE_BEGIN + i);
-            result[i] = chars;
-        }
-
-        return result;
-    }
-
-    public static char getTagName(int tag) {
-        switch (tag) {
-            case 0:
-                return 'S';
-            case 1:
-                return 'B';
-            case 2:
-                return 'M';
-            case 3:
-                return 'E';
-            default:
-                return '?';
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/MakeTrainFile.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/MakeTrainFile.java
deleted file mode 100644
index 005d4367e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/MakeTrainFile.java
+++ /dev/null
@@ -1,69 +0,0 @@
-package org.ansj.app.crf;
-
-import org.ansj.app.crf.pojo.Element;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.io.FileNotFoundException;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.util.List;
-
-/**
- * 生成crf 或者是 wapiti的训练语聊工具.
- * 
- * 执行:java org.ansj.app.crf.MakeTrainFile [inputPath] [outputPath]
- * 
- * @author Ansj
- *
- */
-public class MakeTrainFile {
-
-    private static final Log logger = LogFactory.getLog();
-
-    public static void main(String[] args) {
-
-        String inputPath = "corpus.txt";
-
-        String outputPath = "train.txt";
-
-        if (args != null && args.length == 2) {
-            inputPath = args[0];
-            outputPath = args[1];
-        }
-
-        if (StringUtil.isBlank(inputPath) || StringUtil.isBlank(outputPath)) {
-            logger.info("org.ansj.app.crf.MakeTrainFile [inputPath] [outputPath]");
-            return;
-        }
-        try (BufferedReader reader = IOUtil.getReader(inputPath, "utf-8");
-                        FileOutputStream fos = new FileOutputStream(outputPath)) {
-            String temp = null;
-            int i = 0;
-            while ((temp = reader.readLine()) != null) {
-                StringBuilder sb = new StringBuilder("\n");
-                if (StringUtil.isBlank(temp)) {
-                    continue;
-                }
-                if (i == 0) {
-                    temp = StringUtil.trim(temp);
-                }
-                List list = Config.makeToElementList(temp, "\\s+");
-                for (Element element : list) {
-                    sb.append(element.nameStr() + " " + Config.getTagName(element.getTag()));
-                    sb.append("\n");
-                }
-                fos.write(sb.toString().getBytes(IOUtil.UTF8));
-                System.out.println(++i);
-            }
-        } catch (FileNotFoundException e) {
-            logger.warn("文件没有找到", e);
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/Model.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/Model.java
deleted file mode 100644
index aedacee25..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/Model.java
+++ /dev/null
@@ -1,176 +0,0 @@
-package org.ansj.app.crf;
-
-import org.ansj.app.crf.model.CRFModel;
-import org.ansj.app.crf.model.CRFppTxtModel;
-import org.ansj.app.crf.model.WapitiCRFModel;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.MapCount;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.*;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.zip.GZIPOutputStream;
-
-public abstract class Model {
-
-    public static final Log logger = LogFactory.getLog(Model.class);
-
-    protected Config config;
-
-    protected SmartForest featureTree = null;
-
-    protected float[][] status = new float[Config.TAG_NUM][Config.TAG_NUM];
-
-    public int allFeatureCount = 0;
-
-    /**
-     * 判断当前数据流是否是本实例
-     * 
-     * @param is
-     * @return
-     */
-    public abstract boolean checkModel(String modelPath) throws IOException;
-
-    /**
-     * 模型读取
-     * 
-     * @param path
-     * @return
-     * @return
-     * @throws Exception
-     */
-    public static Model load(String modelPath) throws Exception {
-        Model model = new CRFModel();
-        if (model.checkModel(modelPath)) {
-            return model.loadModel(modelPath);
-        }
-        model = new CRFppTxtModel();
-
-        if (model.checkModel(modelPath)) {
-            return model.loadModel(modelPath);
-        }
-        model = new WapitiCRFModel();
-        if (model.checkModel(modelPath)) {
-            return model.loadModel(modelPath);
-        }
-        throw new Exception("I did not know what type of model by file " + modelPath);
-    }
-
-    /**
-     * 模型读取
-     *
-     */
-    public static Model load(Class modelClass, InputStream inputStream) throws Exception {
-        return modelClass
-                .getDeclaredConstructor()
-                .newInstance()
-                .loadModel(inputStream);
-    }
-
-    /**
-     * 不同的模型实现自己的加载模型类
-     * 
-     * @throws Exception
-     */
-    public abstract Model loadModel(String modelPath) throws Exception;
-
-    public abstract Model loadModel(InputStream is) throws Exception;
-
-    /**
-     * 获得特征所在权重数组
-     * 
-     * @param featureStr
-     * @return
-     */
-    public float[] getFeature(char... chars) {
-        if (chars == null) {
-            return null;
-        }
-        SmartForest sf = featureTree;
-        sf = sf.getBranch(chars);
-        if (sf == null || sf.getParam() == null) {
-            return null;
-        }
-        return sf.getParam();
-    }
-
-    public Config getConfig() {
-        return this.config;
-    }
-
-    /**
-     * tag转移率
-     * 
-     * @param s1
-     * @param s2
-     * @return
-     */
-    public float tagRate(int s1, int s2) {
-        return status[s1][s2];
-    }
-
-    /**
-     * 增加特征到特征数中
-     * 
-     * @param cs
-     * @param tempW
-     */
-    protected static void printFeatureTree(String cs, float[] tempW) {
-        String name = "*";
-        if (tempW.length == 4) {
-            name = "U";
-        }
-        name += "*" + (cs.charAt(cs.length() - 1) - Config.FEATURE_BEGIN + 1) + ":" + cs.substring(0, cs.length() - 1);
-        for (int i = 0; i < tempW.length; i++) {
-            if (tempW[i] != 0) {
-                System.out.println(name + "\t" + Config.getTagName(i / 4 - 1) + "\t" + Config.getTagName(i % 4) + "\t"
-                                + tempW[i]);
-            }
-
-        }
-    }
-
-    /**
-     * 将model序列化到硬盘
-     * 
-     * @param path
-     * @throws IOException
-     * @throws FileNotFoundException
-     */
-    public void writeModel(String path) {
-        try (FileOutputStream fso = new FileOutputStream(path)) {
-            ObjectOutputStream oos = new ObjectOutputStream(new GZIPOutputStream(fso));
-            oos.writeUTF(CRFModel.VERSION);
-            oos.writeObject(status);
-            oos.writeObject(config.getTemplate());
-            Map map = featureTree.toMap();
-            MapCount mc = new MapCount<>();
-            for (float[] v : map.values()) {
-                mc.add(v.length);
-            }
-            for (Entry entry : mc.get().entrySet()) {
-                int win = entry.getKey();
-                oos.writeInt(win);// 宽度
-                oos.writeInt(entry.getValue().intValue());// 个数
-                for (Entry e : map.entrySet()) {
-                    if (e.getValue().length == win) {
-                        oos.writeUTF(e.getKey());
-                        float[] value = e.getValue();
-                        for (int i = 0; i < win; i++) {
-                            oos.writeFloat(value[i]);
-                        }
-                    }
-                }
-            }
-            oos.writeInt(0);
-            oos.writeInt(0);
-            oos.flush();
-        } catch (FileNotFoundException e) {
-            logger.warn("文件没有找到", e);
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/SplitWord.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/SplitWord.java
deleted file mode 100644
index 59fc2a6ff..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/SplitWord.java
+++ /dev/null
@@ -1,172 +0,0 @@
-package org.ansj.app.crf;
-
-import org.ansj.app.crf.pojo.Element;
-import org.ansj.util.MatrixUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.List;
-
-/**
- * 分词
- * 
- * @author ansj
- * 
- */
-public class SplitWord {
-
-    private Model model = null;
-
-    public SplitWord(Model model) {
-        this.model = model;
-    };
-
-    public List cut(char[] chars) {
-        return cut(new String(chars));
-    }
-
-    public List cut(String line) {
-
-        if (StringUtil.isBlank(line)) {
-            return Collections.emptyList();
-        }
-
-        List elements = vterbi(line);
-
-        List result = new ArrayList<>();
-
-        Element e = null;
-        int begin = 0;
-        int end = 0;
-        int size = elements.size() - 1;
-        for (int i = 0; i < elements.size(); i++) {
-            e = elements.get(i);
-            switch (e.getTag()) {
-                case 0:
-                    end += e.len;
-                    result.add(line.substring(begin, end));
-                    begin = end;
-                    break;
-                case 1:
-                    end += e.len;
-                    while (i < size && (e = elements.get(++i)).getTag() != 3) {
-                        end += e.len;
-                    }
-                    end += e.len;
-                    result.add(line.substring(begin, end));
-                    begin = end;
-                default:
-                    break;
-            }
-        }
-        return result;
-    }
-
-    private List vterbi(String line) {
-        List elements = Config.wordAlert(line);
-
-        int length = elements.size();
-
-        if (length == 0) { // 避免空list，下面get(0)操作越界
-            return elements;
-        }
-        if (length == 1) {
-            elements.get(0).updateTag(0);
-            return elements;
-        }
-
-        /**
-         * 填充图
-         */
-        for (int i = 0; i < length; i++) {
-            computeTagScore(elements, i);
-        }
-
-        // 如果是开始不可能从 m，e开始 ，所以将它设为一个很小的值
-        elements.get(0).tagScore[2] = -1000;
-        elements.get(0).tagScore[3] = -1000;
-
-        for (int i = 1; i < length; i++) {
-            elements.get(i).maxFrom(model, elements.get(i - 1));
-        }
-
-        // 末位置只能从S,E开始
-        // 末位置只能从0,3开始
-
-        Element next = elements.get(elements.size() - 1);
-
-        Element self = null;
-
-        int maxStatus = next.tagScore[0] > next.tagScore[3] ? 0 : 3;
-
-        next.updateTag(maxStatus);
-
-        maxStatus = next.from[maxStatus];
-
-        // 逆序寻找
-        for (int i = elements.size() - 2; i > 0; i--) {
-            self = elements.get(i);
-            self.updateTag(maxStatus);
-            maxStatus = self.from[self.getTag()];
-            next = self;
-        }
-        elements.get(0).updateTag(maxStatus);
-
-        // printElements(elements) ;
-
-        return elements;
-
-    }
-
-    private void computeTagScore(List elements, int index) {
-
-        char[][] feautres = model.getConfig().makeFeatureArr(elements, index);
-
-        //TODO: set 20 很大吧!
-        float[] tagScore = new float[20]; //Config.TAG_NUM*Config.TAG_NUM+Config.TAG_NUM
-
-        for (int i = 0; i < feautres.length; i++) {
-            MatrixUtil.dot(tagScore, model.getFeature(feautres[i]));
-        }
-
-        elements.get(index).tagScore = tagScore;
-    }
-
-    /**
-     * 随便给一个词。计算这个词的内聚分值，可以理解为计算这个词的可信度
-     * 
-     * @param word
-     */
-    public float cohesion(String word) {
-
-        if (word.length() == 0) {
-            return Integer.MIN_VALUE;
-        }
-
-        List elements = Config.wordAlert(word);
-
-        for (int i = 0; i < elements.size(); i++) {
-            computeTagScore(elements, i);
-        }
-
-        float value = elements.get(0).tagScore[1];
-
-        int len = elements.size() - 1;
-
-        for (int i = 1; i < len; i++) {
-            value += elements.get(i).tagScore[2];
-        }
-
-        value += elements.get(len).tagScore[3];
-
-        if (value < 0) {
-            return 1;
-        } else {
-            value += 1;
-        }
-
-        return value;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/CRFModel.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/CRFModel.java
deleted file mode 100644
index 19a3ddf3f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/CRFModel.java
+++ /dev/null
@@ -1,78 +0,0 @@
-package org.ansj.app.crf.model;
-
-import org.ansj.app.crf.Config;
-import org.ansj.app.crf.Model;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.IOUtil;
-
-import java.io.*;
-import java.util.zip.GZIPInputStream;
-import java.util.zip.ZipException;
-
-/**
- * 加载ansj格式的crfmodel,目前此model格式是通过crf++ 或者wapiti生成的
- * 
- * @author Ansj
- *
- */
-public class CRFModel extends Model {
-
-    public static final String VERSION = "ansj1";
-
-    @Override
-    public CRFModel loadModel(String modelPath) throws Exception {
-        try (InputStream is = IOUtil.getInputStream(modelPath)) {
-            loadModel(is);
-            return this;
-        }
-    }
-
-    @Override
-    public CRFModel loadModel(InputStream is) throws Exception {
-        long start = System.currentTimeMillis();
-        try (ObjectInputStream ois = new ObjectInputStream(new GZIPInputStream(is))) {
-            ois.readUTF();
-            this.status = (float[][]) ois.readObject();
-            int[][] template = (int[][]) ois.readObject();
-            this.config = new Config(template);
-            int win = 0;
-            int size = 0;
-            String name = null;
-            featureTree = new SmartForest();
-            float[] value = null;
-            do {
-                win = ois.readInt();
-                size = ois.readInt();
-                for (int i = 0; i < size; i++) {
-                    name = ois.readUTF();
-                    value = new float[win];
-                    for (int j = 0; j < value.length; j++) {
-                        value[j] = ois.readFloat();
-                    }
-                    featureTree.add(name, value);
-                }
-            } while (win == 0 || size == 0);
-            logger.info("load crf model ok ! use time :" + (System.currentTimeMillis() - start));
-        }
-        return this;
-    }
-
-    @Override
-    public boolean checkModel(String modelPath) {
-        try (FileInputStream fis = new FileInputStream(modelPath)) {
-            ObjectInputStream inputStream = new ObjectInputStream(new GZIPInputStream(fis));
-            String version = inputStream.readUTF();
-            if (version.equals("ansj1")) { // 加载ansj,model
-                return true;
-            }
-        } catch (ZipException ze) {
-            logger.warn("解压异常", ze);
-        } catch (FileNotFoundException e) {
-            logger.warn("文件没有找到", e);
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-        return false;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/CRFppTxtModel.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/CRFppTxtModel.java
deleted file mode 100644
index 6ca91b2e0..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/CRFppTxtModel.java
+++ /dev/null
@@ -1,320 +0,0 @@
-package org.ansj.app.crf.model;
-
-import org.ansj.app.crf.Config;
-import org.ansj.app.crf.Model;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.ObjConver;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.tuples.Pair;
-
-import java.io.BufferedReader;
-import java.io.FileInputStream;
-import java.io.IOException;
-import java.io.InputStream;
-import java.util.*;
-
-/**
- * 加载CRF+生成的crf文本模型,测试使用的CRF++版本为:CRF++-0.58
- * 
- * 下载地址:https://taku910.github.io/crfpp/#download 在这里感谢作者所做的工作.
- * 
- * @author Ansj
- *
- */
-public class CRFppTxtModel extends Model {
-
-    /**
-     * 解析crf++生成的可可视txt文件
-     * 
-     * @return
-     */
-    @Override
-    public CRFppTxtModel loadModel(String modelPath) throws Exception {
-        try (InputStream is = new FileInputStream(modelPath)) {
-            loadModel(new FileInputStream(modelPath));
-            return this;
-        }
-    }
-
-    @Override
-    public Model loadModel(InputStream is) throws Exception {
-        long start = System.currentTimeMillis();
-
-        BufferedReader reader = IOUtil.getReader(is, IOUtil.UTF8);
-
-        reader.readLine();// version
-        reader.readLine();// cost-factor
-
-        // int maxId =
-        // Integer.parseInt(reader.readLine().split(":")[1].trim());// read
-        reader.readLine();// xsize
-        reader.readLine(); // line
-        int[] statusCoven = loadTagCoven(reader);
-        Map featureIndex = loadConfig(reader);
-        StringBuilder sb = new StringBuilder();
-        for (int[] t1 : config.getTemplate()) {
-            sb.append(Arrays.toString(t1) + " ");
-        }
-        logger.info("load template ok template : " + sb);
-        TreeMap> featureNames = loadFeatureName(featureIndex, reader);
-        logger.info("load feature ok feature size : " + featureNames.size());
-        loadFeatureWeight(reader, statusCoven, featureNames);
-        logger.info("load crfpp model ok ! use time : " + (System.currentTimeMillis() - start));
-        return this;
-    }
-
-    /**
-     * 加载特征值 //11:*6:_x-1/的,
-     * 
-     * @param maxId
-     * 
-     * @param featureIndex
-     * 
-     * @param br
-     * @return
-     * @throws Exception
-     */
-
-    private TreeMap> loadFeatureName(Map featureIndex, BufferedReader br)
-                    throws Exception {
-
-        TreeMap> featureNames = new TreeMap<>();
-
-        String temp = null;
-        while (StringUtil.isNotBlank(temp = br.readLine())) {
-
-            int indexOf = temp.indexOf(" ");
-
-            int id = ObjConver.getIntValue(temp.substring(0, indexOf));
-
-            if (indexOf > 0) {
-                temp = temp.substring(indexOf);
-            }
-
-            String[] split = temp.split(":");
-
-            if (split.length == 1) {
-                featureNames.put(id, Pair.with(temp.trim(), ""));
-            } else {
-                String name = split[1];
-                if (split.length > 2) {
-                    for (int j = 2; j < split.length; j++) {
-                        name += ":" + split[j];
-                    }
-                }
-
-                int lastFeatureId = featureIndex.get(split[0].trim());
-
-                if ("/".equals(name)) {
-                    name = "//";
-                }
-
-                if (name.contains("//")) {
-                    name = name.replaceAll("//", "/XIEGANG/");
-                }
-                String featureName = toFeatureName(name.trim().split("/"), lastFeatureId);
-
-                featureNames.put(id, Pair.with(split[0].trim(), featureName));
-
-            }
-
-        }
-
-        return featureNames;
-
-    }
-
-    private String toFeatureName(String[] split, int lastFeatureId) throws Exception {
-
-        StringBuilder result = new StringBuilder();
-
-        for (String str : split) {
-            if ("".equals(str)) {
-                continue;
-            } else if (str.length() == 1) {
-                result.append(str.charAt(0));
-            } else if (str.equals("XIEGANG")) {
-                result.append('/');
-            } else if (str.startsWith("num")) {
-                result.append((char) (Config.NUM_BEGIN + ObjConver.getIntValue(str.replace("num", ""))));
-            } else if (str.startsWith("en")) {
-                result.append((char) (Config.EN_BEGIN + ObjConver.getIntValue(str.replace("en", ""))));
-            } else if (str.startsWith("_B-")) {
-                result.append(Config.BEGIN);
-            } else if (str.startsWith("_B+")) {
-                result.append(Config.END);
-            } else {
-                throw new Exception("can find feature named " + str + " in " + Arrays.toString(split));
-            }
-        }
-
-        result.append((char) (lastFeatureId + Config.FEATURE_BEGIN));
-
-        return result.toString();
-    }
-
-    /**
-     * 加载特征权重
-     * 
-     * @param br
-     * @param featureNames
-     * @param statusCoven
-     * @throws Exception
-     */
-    private void loadFeatureWeight(BufferedReader br, int[] statusCoven,
-                    TreeMap> featureNames) throws Exception {
-
-        featureTree = new SmartForest();
-
-        int tag = 0; // 赏析按标签为用来转换
-
-        int len = 0; // 权重数组的大小
-
-        String name = null; // 特征名称
-
-        float[] tempW = null; // 每一个特征的权重
-
-        String temp = null;
-
-        for (Pair pair : featureNames.values()) {
-
-            char fc = Character.toUpperCase(pair.getValue0().charAt(0));
-
-            len = fc == 'B' ? Config.TAG_NUM * Config.TAG_NUM
-                            : fc == 'U' ? Config.TAG_NUM
-                                            : fc == '*' ? (Config.TAG_NUM + Config.TAG_NUM * Config.TAG_NUM) : 0;
-
-            if (len == 0) {
-                throw new Exception("unknow feature type " + pair.getValue0());
-            }
-
-            if (fc == 'B') { // 特殊处理转换特征数组
-                for (int i = 0; i < len; i++) {
-                    temp = br.readLine();
-                    int from = statusCoven[i / Config.TAG_NUM];
-                    int to = statusCoven[i % Config.TAG_NUM];
-                    status[from][to] = ObjConver.getFloatValue(temp);
-                }
-
-            } else {
-
-                name = pair.getValue1();
-
-                tempW = new float[len];
-
-                for (int i = 0; i < len; i++) {
-                    temp = br.readLine();
-                    tag = statusCoven[i];
-                    tempW[tag] = ObjConver.getFloatValue(temp);
-                }
-                this.featureTree.add(name, tempW); // 将特征增加到特征🌲中
-
-                // printFeatureTree(name, tempW);
-            }
-
-        }
-
-    }
-
-    /**
-     * 加载特征标签转换
-     * 
-     * @param br
-     * @return
-     * @throws Exception
-     */
-    private int[] loadTagCoven(BufferedReader br) throws Exception {
-
-        int[] conver = new int[Config.TAG_NUM + Config.TAG_NUM * Config.TAG_NUM];
-
-        String temp = null;
-
-        // TODO: 这个是个写死的过程,如果标签发生改变需要重新来写这里
-        for (int i = 0; i < Config.TAG_NUM; i++) {
-            String line = br.readLine();
-            if (StringUtil.isBlank(line)) {
-                i--;
-                continue;
-            }
-
-            char c = line.charAt(0);
-            switch (c) {
-                case 'S':
-                    conver[i] = Config.S;
-                    break;
-                case 'B':
-                    conver[i] = Config.B;
-                    break;
-                case 'M':
-                    conver[i] = Config.M;
-                    break;
-                case 'E':
-                    conver[i] = Config.E;
-                    break;
-                default:
-                    throw new Exception("err tag named " + c + " in model " + temp);
-            }
-        }
-
-        for (int i = Config.TAG_NUM; i < conver.length; i++) {
-            conver[i] = conver[(i - 4) / Config.TAG_NUM] * Config.TAG_NUM + conver[i % Config.TAG_NUM] + Config.TAG_NUM;
-        }
-
-        return conver;
-    }
-
-    private Map loadConfig(BufferedReader br) throws IOException {
-
-        Map featureIndex = new HashMap<>();
-
-        String temp = br.readLine();// #rdr#8/0/0
-
-        List list = new ArrayList<>();
-
-        while (StringUtil.isNotBlank((temp = br.readLine()))) {
-
-            List matcherAll = StringUtil.matcherAll("\\[.*?\\]", temp);
-
-            if (matcherAll.isEmpty()) {
-                continue;
-            }
-
-            int[] is = new int[matcherAll.size()];
-            for (int j = 0; j < is.length; j++) {
-                is[j] = ObjConver.getIntValue(StringUtil.matcherFirst("[-\\d]+", matcherAll.get(j)));
-            }
-
-            featureIndex.put(temp.split(":")[0].trim(), list.size());
-
-            list.add(is);
-        }
-
-        int[][] template = new int[list.size()][0]; // 构建特征模板
-
-        for (int i = 0; i < template.length; i++) {
-            template[i] = list.get(i);
-        }
-
-        config = new Config(template);
-
-        return featureIndex;
-    }
-
-    @Override
-    public boolean checkModel(String modelPath) {
-
-        try (InputStream is = IOUtil.getInputStream(modelPath)) {
-            byte[] bytes = new byte[100];
-            is.read(bytes);
-            String string = new String(bytes);
-            if (string.startsWith("version")) { // 加载crf++ 的txt类型的modle
-                return true;
-            }
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-        return false;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/WapitiCRFModel.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/WapitiCRFModel.java
deleted file mode 100644
index 22ae1be93..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/model/WapitiCRFModel.java
+++ /dev/null
@@ -1,348 +0,0 @@
-package org.ansj.app.crf.model;
-
-import org.ansj.app.crf.Config;
-import org.ansj.app.crf.Model;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.ObjConver;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.tuples.Pair;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStream;
-import java.util.*;
-
-/**
- * 加载wapiti生成的crf模型,测试使用的wapiti版本为:Wapiti v1.5.0
- * 
- * wapiti 下载地址:https://wapiti.limsi.fr/#download 在这里感谢作者所做的工作.
- * 
- * @author Ansj
- *
- */
-public class WapitiCRFModel extends Model {
-
-    @Override
-    public WapitiCRFModel loadModel(String modelPath) throws Exception {
-        try (InputStream is = IOUtil.getInputStream(modelPath)) {
-            return loadModel(is);
-        }
-    }
-
-    @Override
-    public WapitiCRFModel loadModel(InputStream is) throws Exception {
-        BufferedReader br = IOUtil.getReader(is, IOUtil.UTF8);
-
-        long start = System.currentTimeMillis();
-
-        logger.info("load wapiti model begin!");
-
-        String temp = br.readLine();
-
-        logger.info(temp); // #mdl#2#123
-
-        Map featureIndex = loadConfig(br);
-
-        StringBuilder sb = new StringBuilder();
-        for (int[] t1 : config.getTemplate()) {
-            sb.append(Arrays.toString(t1) + " ");
-        }
-
-        logger.info("featureIndex is " + featureIndex);
-        logger.info("load template ok template : " + sb);
-
-        int[] statusCoven = loadTagCoven(br);
-
-        List> loadFeatureName = loadFeatureName(featureIndex, br);
-
-        logger.info("load feature ok feature size : " + loadFeatureName.size());
-
-        featureTree = new SmartForest();
-
-        loadFeatureWeight(br, statusCoven, loadFeatureName);
-
-        logger.info("load wapiti model ok ! use time :" + (System.currentTimeMillis() - start));
-        return this;
-    }
-
-    /**
-     * 加载特征权重
-     * 
-     * @param br
-     * @param featureNames
-     * @param statusCoven
-     * @throws Exception
-     */
-    private void loadFeatureWeight(BufferedReader br, int[] statusCoven, List> featureNames)
-                    throws Exception {
-
-        int key = 0;
-
-        int offe = 0;
-
-        int tag = 0; // 赏析按标签为用来转换
-
-        int len = 0; // 权重数组的大小
-
-        int min, max = 0; // 设置边界
-
-        String name = null; // 特征名称
-
-        float[] tempW = null; // 每一个特征的权重
-
-        String temp = br.readLine();
-
-        for (Pair pair : featureNames) {
-
-            if (temp == null) {
-                logger.warn(pair.getValue0() + "\t" + pair.getValue1() + " not have any weight ,so skip it !");
-                continue;
-            }
-
-            char fc = Character.toUpperCase(pair.getValue0().charAt(0));
-
-            len = fc == 'B' ? Config.TAG_NUM * Config.TAG_NUM
-                            : fc == 'U' ? Config.TAG_NUM
-                                            : fc == '*' ? (Config.TAG_NUM + Config.TAG_NUM * Config.TAG_NUM) : 0;
-
-            if (len == 0) {
-                throw new Exception("unknow feature type " + pair.getValue0());
-            }
-
-            min = max;
-            max += len;
-            if (fc == 'B') { // 特殊处理转换特征数组
-                for (int i = 0; i < len; i++) {
-                    String[] split = temp.split("=");
-                    int from = statusCoven[i / Config.TAG_NUM];
-                    int to = statusCoven[i % Config.TAG_NUM];
-                    status[from][to] = ObjConver.getFloatValue(split[1]);
-                    temp = br.readLine();
-                }
-            } else {
-
-                name = pair.getValue1();
-
-                tempW = new float[len];
-
-                do {
-                    String[] split = temp.split("=");
-
-                    key = ObjConver.getIntValue(split[0]);
-
-                    if (key >= max) { // 如果超过边界那么跳出
-                        break;
-                    }
-
-                    offe = key - min;
-
-                    tag = statusCoven[offe];
-
-                    tempW[tag] = ObjConver.getFloatValue(split[1]);
-
-                } while ((temp = br.readLine()) != null);
-
-                this.featureTree.add(name, tempW); // 将特征增加到特征🌲中
-
-                // printFeatureTree(name, tempW);
-            }
-
-        }
-
-    }
-
-    /**
-     * 加载特征值 //11:*6:_x-1/的,
-     * 
-     * @param featureIndex
-     * 
-     * @param br
-     * @return
-     * @throws Exception
-     */
-
-    private List> loadFeatureName(Map featureIndex, BufferedReader br)
-                    throws Exception {
-        String temp = br.readLine();// #qrk#num
-        int featureNum = ObjConver.getIntValue(StringUtil.matcherFirst("\\d+", temp)); // 找到特征个数
-
-        List> featureNames = new ArrayList<>();
-
-        for (int i = 0; i < featureNum; i++) {
-            temp = br.readLine();
-
-            String[] split = temp.split(":");
-
-            if (split.length == 2) {
-                featureNames.add(Pair.with(split[1], ""));
-                continue;
-            } else {
-
-                String name = split[2];
-
-                if (split.length > 3) {
-                    for (int j = 3; j < split.length; j++) {
-                        name += ":" + split[j];
-                    }
-                }
-
-                // 去掉最后的空格
-                name = name.substring(0, name.length() - 1);
-
-                int lastFeatureId = featureIndex.get(split[1]);
-
-                if ("/".equals(name)) {
-                    name = "//";
-                }
-
-                if (name.contains("//")) {
-                    name = name.replaceAll("//", "/XIEGANG/");
-                }
-                String featureName = toFeatureName(name.trim().split("/"), lastFeatureId);
-
-                featureNames.add(Pair.with(split[1], featureName));
-
-            }
-        }
-
-        return featureNames;
-
-    }
-
-    private String toFeatureName(String[] split, int lastFeatureId) throws Exception {
-
-        StringBuilder result = new StringBuilder();
-
-        for (String str : split) {
-            if ("".equals(str)) {
-                continue;
-            } else if (str.length() == 1) {
-                result.append(str.charAt(0));
-            } else if (str.equals("XIEGANG")) {
-                result.append('/');
-            } else if (str.startsWith("num")) {
-                result.append((char) (Config.NUM_BEGIN + ObjConver.getIntValue(str.replace("num", ""))));
-            } else if (str.startsWith("en")) {
-                result.append((char) (Config.EN_BEGIN + ObjConver.getIntValue(str.replace("en", ""))));
-            } else if (str.startsWith("_x-")) {
-                result.append(Config.BEGIN);
-            } else if (str.startsWith("_x+")) {
-                result.append(Config.END);
-            } else {
-                throw new Exception("can find feature named " + str + " in " + Arrays.toString(split));
-            }
-        }
-
-        result.append((char) (lastFeatureId + Config.FEATURE_BEGIN));
-
-        return result.toString();
-    }
-
-    /**
-     * 加载特征标签转换
-     * 
-     * @param br
-     * @return
-     * @throws Exception
-     */
-    private int[] loadTagCoven(BufferedReader br) throws Exception {
-
-        int[] conver = new int[Config.TAG_NUM + Config.TAG_NUM * Config.TAG_NUM];
-
-        String temp = br.readLine();// #qrk#4
-
-        // TODO: 这个是个写死的过程,如果标签发生改变需要重新来写这里
-        for (int i = 0; i < Config.TAG_NUM; i++) {
-            char c = br.readLine().split(":")[1].charAt(0);
-            switch (c) {
-                case 'S':
-                    conver[i] = Config.S;
-                    break;
-                case 'B':
-                    conver[i] = Config.B;
-                    break;
-                case 'M':
-                    conver[i] = Config.M;
-                    break;
-                case 'E':
-                    conver[i] = Config.E;
-                    break;
-                default:
-                    throw new Exception("err tag named " + c + " in model " + temp);
-            }
-        }
-
-        for (int i = Config.TAG_NUM; i < conver.length; i++) {
-            conver[i] = conver[(i - 4) / Config.TAG_NUM] * Config.TAG_NUM + conver[i % Config.TAG_NUM] + Config.TAG_NUM;
-        }
-
-        return conver;
-    }
-
-    /**
-     * 加载特征模板
-     * 
-     * @param br
-     * @return
-     * @throws IOException
-     */
-    private Map loadConfig(BufferedReader br) throws IOException {
-
-        Map featureIndex = new HashMap<>();
-
-        String temp = br.readLine();// #rdr#8/0/0
-
-        int featureNum = ObjConver.getIntValue(StringUtil.matcherFirst("\\d+", temp)); // 找到特征个数
-
-        List list = new ArrayList<>();
-
-        for (int i = 0; i < featureNum; i++) {
-            temp = br.readLine();
-
-            List matcherAll = StringUtil.matcherAll("\\[.*?\\]", temp);
-
-            if (matcherAll.isEmpty()) {
-                continue;
-            }
-
-            int[] is = new int[matcherAll.size()];
-            for (int j = 0; j < is.length; j++) {
-                is[j] = ObjConver.getIntValue(StringUtil.matcherFirst("[-\\d]+", matcherAll.get(j)));
-            }
-
-            featureIndex.put(temp.split(":")[1], list.size());
-
-            list.add(is);
-        }
-
-        int[][] template = new int[list.size()][0]; // 构建特征模板
-
-        for (int i = 0; i < template.length; i++) {
-            template[i] = list.get(i);
-        }
-
-        config = new Config(template);
-
-        return featureIndex;
-    }
-
-    @Override
-    public boolean checkModel(String modelPath) {
-
-        try (InputStream is = IOUtil.getInputStream(modelPath)) {
-            byte[] bytes = new byte[100];
-
-            is.read(bytes);
-
-            String string = new String(bytes);
-            if (string.startsWith("#mdl#")) { // 加载crf++ 的txt类型的modle
-                return true;
-            }
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-        return false;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/pojo/Element.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/pojo/Element.java
deleted file mode 100644
index 98b50828d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/crf/pojo/Element.java
+++ /dev/null
@@ -1,90 +0,0 @@
-package org.ansj.app.crf.pojo;
-
-import org.ansj.app.crf.Config;
-import org.ansj.app.crf.Model;
-
-public class Element {
-
-    public char name;
-    private int tag = -1;
-    public int len = 1;
-    public String nature;
-
-    public float[] tagScore;
-
-    public int[] from;
-
-    public Element(char name) {
-        this.name = name;
-    }
-
-    public Element(Character name, int tag) {
-        this.name = name;
-        this.tag = tag;
-    }
-
-    public int getTag() {
-        return tag;
-    }
-
-    public Element updateTag(int tag) {
-        this.tag = tag;
-        return this;
-    }
-
-    public Element updateNature(String nature) {
-        this.nature = nature;
-        return this;
-    }
-
-    @Override
-    public String toString() {
-        return name + "/" + len + "/" + tag;
-    }
-
-    public char getName() {
-        return name;
-    }
-
-    /**
-     * 获得可见的名称
-     * 
-     * @return
-     */
-    public String nameStr() {
-        if (name >= 130 && name < 140) {
-            return ("num" + (name - 130));
-        } else if (name >= 140 && name < 150) {
-            return ("en" + (name - 140));
-        } else {
-            return String.valueOf(name);
-        }
-    }
-
-    public void maxFrom(Model model, Element element) {
-        if (from == null) {
-            from = new int[Config.TAG_NUM];
-        }
-        float[] pTagScore = element.tagScore;
-        for (int i = 0; i < Config.TAG_NUM; i++) {
-            float maxValue = 0;
-            for (int j = 0; j < Config.TAG_NUM; j++) {
-
-                float value = (pTagScore[j] + tagScore[i]) + model.tagRate(j, i);
-
-                if (tagScore.length > Config.TAG_NUM) {
-                    value += tagScore[Config.TAG_NUM + j * Config.TAG_NUM + i];
-                }
-
-                if (value > maxValue) {
-                    maxValue = value;
-                    from[i] = j;
-                }
-
-            }
-
-            tagScore[i] = maxValue;
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/KeyWordComputer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/KeyWordComputer.java
deleted file mode 100644
index 2d86711cc..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/KeyWordComputer.java
+++ /dev/null
@@ -1,143 +0,0 @@
-package org.ansj.app.keyword;
-
-import org.ansj.domain.Term;
-import org.ansj.splitWord.Analysis;
-import org.ansj.splitWord.analysis.NlpAnalysis;
-import org.nlpcn.commons.lang.util.StringUtil;
-
-import java.util.*;
-
-public class KeyWordComputer {
-
-    private static final Map POS_SCORE = new HashMap<>();
-    private T analysisType;
-
-
-    static {
-        POS_SCORE.put("null", 0.0);
-        POS_SCORE.put("w", 0.0);
-        POS_SCORE.put("en", 0.0);
-        POS_SCORE.put("m", 0.0);
-        POS_SCORE.put("num", 0.0);
-        POS_SCORE.put("nr", 3.0);
-        POS_SCORE.put("nrf", 3.0);
-        POS_SCORE.put("nw", 3.0);
-        POS_SCORE.put("nt", 3.0);
-        POS_SCORE.put("l", 0.2);
-        POS_SCORE.put("a", 0.2);
-        POS_SCORE.put("nz", 3.0);
-        POS_SCORE.put("v", 0.2);
-        POS_SCORE.put("kw", 6.0); //关键词词性
-    }
-
-    private int nKeyword = 5;
-
-
-    public KeyWordComputer() {}
-
-    public void setAnalysisType(T analysisType) {
-        this.analysisType = analysisType;
-    }
-
-
-    /**
-     * 返回关键词个数
-     *
-     * @param nKeyword
-     */
-    public KeyWordComputer(int nKeyword) {
-        this.nKeyword = nKeyword;
-        this.analysisType = (T) new NlpAnalysis();//默认使用NLP的分词方式
-
-    }
-
-    public KeyWordComputer(int nKeyword, T analysisType) {
-        this.nKeyword = nKeyword;
-        this.analysisType = analysisType;
-    }
-
-    /**
-     * @param content 正文
-     * @return
-     */
-    private List computeArticleTfidf(String content, int titleLength) {
-        Map tm = new HashMap<>();
-
-        List parse = analysisType.parseStr(content).getTerms();
-        //FIXME: 这个依赖于用户自定义词典的词性,所以得需要另一个方法..
-        //		parse = FilterModifWord.updateNature(parse) ;
-
-        for (Term term : parse) {
-            double weight = getWeight(term, content.length(), titleLength);
-            if (weight == 0)
-                continue;
-
-            Keyword keyword = tm.get(term.getName());
-
-
-            if (keyword == null) {
-                keyword = new Keyword(term.getName(), term.natrue().allFrequency, weight);
-                tm.put(term.getName(), keyword);
-            } else {
-                keyword.updateWeight(1);
-            }
-        }
-
-        TreeSet treeSet = new TreeSet<>(tm.values());
-
-        ArrayList arrayList = new ArrayList<>(treeSet);
-        if (treeSet.size() <= nKeyword) {
-            return arrayList;
-        } else {
-            return arrayList.subList(0, nKeyword);
-        }
-
-    }
-
-    /**
-     * @param title   标题
-     * @param content 正文
-     * @return
-     */
-    public List computeArticleTfidf(String title, String content) {
-        if (StringUtil.isBlank(title)) {
-            title = "";
-        }
-        if (StringUtil.isBlank(content)) {
-            content = "";
-        }
-        return computeArticleTfidf(title + "\t" + content, title.length());
-    }
-
-    /**
-     * 只有正文
-     *
-     * @param content
-     * @return
-     */
-    public List computeArticleTfidf(String content) {
-        return computeArticleTfidf(content, 0);
-    }
-
-    private double getWeight(Term term, int length, int titleLength) {
-        if (term.getName().trim().length() < 2) {
-            return 0;
-        }
-
-        String pos = term.natrue().natureStr;
-
-        Double posScore = POS_SCORE.get(pos);
-
-        if (posScore == null) {
-            posScore = 1.0;
-        } else if (posScore == 0) {
-            return 0;
-        }
-
-        if (titleLength > term.getOffe()) {
-            return 5 * posScore;
-        }
-        return (length - term.getOffe()) * posScore / length;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/Keyword.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/Keyword.java
deleted file mode 100644
index 33f9f4f08..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/Keyword.java
+++ /dev/null
@@ -1,74 +0,0 @@
-package org.ansj.app.keyword;
-
-public class Keyword implements Comparable {
-    private String name;
-    private double score;
-    private double idf;
-    private int freq;
-
-    public Keyword(String name, int docFreq, double weight) {
-        this.name = name;
-        this.idf = Math.log(1 + 10000.0 / (docFreq + 1));
-        this.score = idf * weight;
-        freq++;
-    }
-
-    public Keyword(String name, double score) {
-        this.name = name;
-        this.score = score;
-        this.idf = score;
-        freq++;
-    }
-
-    public void updateWeight(int weight) {
-        this.score += weight * idf;
-        freq++;
-    }
-
-    public int getFreq() {
-        return freq;
-    }
-
-    @Override
-    public int compareTo(Keyword o) {
-        if (this.score < o.score) {
-            return 1;
-        } else {
-            return -1;
-        }
-
-    }
-
-    @Override
-    public boolean equals(Object obj) {
-
-        if (obj instanceof Keyword) {
-            Keyword k = (Keyword) obj;
-            return k.name.equals(name);
-        } else {
-            return false;
-        }
-    }
-
-    @Override
-    public String toString() {
-        return name + "/" + score;// "="+score+":"+freq+":"+idf;
-    }
-
-    public String getName() {
-        return name;
-    }
-
-    public void setName(String name) {
-        this.name = name;
-    }
-
-    public double getScore() {
-        return score;
-    }
-
-    public void setScore(double score) {
-        this.score = score;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/package-info.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/package-info.java
deleted file mode 100644
index 7da91a9e0..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/keyword/package-info.java
+++ /dev/null
@@ -1,5 +0,0 @@
-/**
- * @author 崇伟峰
- *
- */
-package org.ansj.app.keyword;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/SummaryComputer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/SummaryComputer.java
deleted file mode 100644
index ebd101145..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/SummaryComputer.java
+++ /dev/null
@@ -1,312 +0,0 @@
-package org.ansj.app.summary;
-
-import org.ansj.app.keyword.KeyWordComputer;
-import org.ansj.app.keyword.Keyword;
-import org.ansj.app.summary.pojo.Summary;
-import org.ansj.domain.Term;
-import org.ansj.splitWord.analysis.NlpAnalysis;
-import org.nlpcn.commons.lang.tire.SmartGetWord;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.MapCount;
-
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
-
-/**
- * 自动摘要,同时返回关键词
- * 
- * @author ansj
- * 
- */
-public class SummaryComputer {
-
-    private static final Set FILTER_SET = new HashSet<>();
-
-    static {
-        FILTER_SET.add("w");
-        FILTER_SET.add("null");
-    }
-
-    /**
-     * summaryLength
-     */
-    private int len = 300;
-
-    private boolean isSplitSummary = true;
-
-    String title, content;
-
-    public SummaryComputer(String title, String content) {
-        this.title = title;
-        this.content = content;
-    }
-
-    public SummaryComputer(int len, String title, String content) {
-        this.len = len;
-        this.title = title;
-        this.content = content;
-    }
-
-    public SummaryComputer(int len, boolean isSplitSummary, String title, String content) {
-        this.len = len;
-        this.title = title;
-        this.content = content;
-        this.isSplitSummary = isSplitSummary;
-    }
-
-    /**
-     * 计算摘要，利用关键词抽取计算
-     * 
-     * @return
-     */
-    public Summary toSummary() {
-        return toSummary(new ArrayList());
-    }
-
-    /**
-     * 根据用户查询串计算摘要
-     * 
-     * @return
-     */
-    public Summary toSummary(String query) {
-
-        List parse = NlpAnalysis.parse(query).getTerms();
-
-        List keywords = new ArrayList<>();
-        for (Term term : parse) {
-            if (FILTER_SET.contains(term.natrue().natureStr)) {
-                continue;
-            }
-            keywords.add(new Keyword(term.getName(), term.termNatures().allFreq, 1));
-        }
-
-        return toSummary(keywords);
-    }
-
-    /**
-     * 计算摘要，传入用户自己算好的关键词
-     * 
-     * @return
-     */
-    public Summary toSummary(List keywords) {
-
-        if (keywords == null) {
-            keywords = new ArrayList<>();
-        }
-
-        if (keywords.isEmpty()) {
-
-            KeyWordComputer kc = new KeyWordComputer(10);
-            keywords = kc.computeArticleTfidf(title, content);
-        }
-        return explan(keywords, content);
-    }
-
-    /**
-     * 计算摘要
-     * 
-     * @param keyword
-     * @param content
-     * @return
-     */
-    private Summary explan(List keywords, String content) {
-
-        SmartForest sf = new SmartForest<>();
-
-        for (Keyword keyword : keywords) {
-            sf.add(keyword.getName(), keyword.getScore());
-        }
-
-        // 先断句
-        List sentences = toSentenceList(content.toCharArray());
-
-        for (Sentence sentence : sentences) {
-            computeScore(sentence, sf);
-        }
-
-        double maxScore = 0;
-        int maxIndex = 0;
-
-        MapCount mc = new MapCount<>();
-
-        for (int i = 0; i < sentences.size(); i++) {
-            double tempScore = sentences.get(i).score;
-            int tempLength = sentences.get(i).value.length();
-            mc.addAll(sentences.get(i).mc.get());
-
-            if (tempLength >= len) {
-                tempScore = tempScore * mc.get().size();
-                if (maxScore < tempScore) {
-                    maxScore = tempScore;
-                    maxIndex = i;
-                    continue;
-                }
-                mc.get().clear();
-            }
-            for (int j = i + 1; j < sentences.size(); j++) {
-                tempScore += sentences.get(j).score;
-                tempLength += sentences.get(j).value.length();
-                mc.addAll(sentences.get(j).mc.get());
-
-                if (tempLength >= len) {
-                    tempScore = tempScore * mc.get().size();
-                    if (maxScore < tempScore) {
-                        maxScore = tempScore;
-                        maxIndex = i;
-                    }
-                    mc.get().clear();
-                    break;
-                }
-            }
-
-            if (tempLength < len) {
-                tempScore = tempScore * mc.get().size();
-                if (maxScore < tempScore) {
-                    maxScore = tempScore;
-                    maxIndex = i;
-                    break;
-                }
-                mc.get().clear();
-            }
-        }
-
-        StringBuilder sb = new StringBuilder();
-        for (int i = maxIndex; i < sentences.size(); i++) {
-            sb.append(sentences.get(i).value);
-            if (sb.length() > len) {
-                break;
-            }
-        }
-
-        String summaryStr = sb.toString();
-
-        /**
-         * 是否强制文本长度。对于abc这种字符算半个长度
-         */
-
-        if (isSplitSummary && sb.length() > len) {
-            double value = len;
-
-            StringBuilder newSummary = new StringBuilder();
-            char c = 0;
-            for (int i = 0; i < sb.length(); i++) {
-                c = sb.charAt(i);
-                if (c < 256) {
-                    value -= 0.5;
-                } else {
-                    value -= 1;
-                }
-
-                if (value < 0) {
-                    break;
-                }
-
-                newSummary.append(c);
-            }
-
-            summaryStr = newSummary.toString();
-        }
-
-        return new Summary(keywords, summaryStr);
-    }
-
-    /**
-     * 计算一个句子的分数
-     * 
-     * @param sentence
-     * @param sf
-     */
-    private void computeScore(Sentence sentence, SmartForest forest) {
-        SmartGetWord sgw = new SmartGetWord<>(forest, sentence.value);
-        String name = null;
-        while ((name = sgw.getFrontWords()) != null) {
-            sentence.updateScore(name, sgw.getParam());
-        }
-        if (sentence.score == 0) {
-            sentence.score = sentence.value.length() * -0.005;
-        } else {
-            sentence.score /= Math.log(sentence.value.length() + 3);
-        }
-    }
-
-    public List toSentenceList(char[] chars) {
-
-        StringBuilder sb = new StringBuilder();
-
-        List sentences = new ArrayList<>();
-
-        for (int i = 0; i < chars.length; i++) {
-            if (sb.length() == 0 && (Character.isWhitespace(chars[i]) || chars[i] == ' ')) {
-                continue;
-            }
-
-            sb.append(chars[i]);
-            switch (chars[i]) {
-                case '.':
-                    if (i < chars.length - 1 && chars[i + 1] > 128) {
-                        insertIntoList(sb, sentences);
-                        sb = new StringBuilder();
-                    }
-                    break;
-                //case ' ':
-                case '	':
-                case '　':
-                case ' ':
-                case ',':
-                case '。':
-                case ';':
-                case '；':
-                case '!':
-                case '！':
-                case '，':
-                case '?':
-                case '？':
-                case '\n':
-                case '\r':
-                    insertIntoList(sb, sentences);
-                    sb = new StringBuilder();
-            }
-        }
-
-        if (sb.length() > 0) {
-            insertIntoList(sb, sentences);
-        }
-
-        return sentences;
-    }
-
-    private void insertIntoList(StringBuilder sb, List sentences) {
-        String content = sb.toString().trim();
-        if (content.length() > 0) {
-            sentences.add(new Sentence(content));
-        }
-    }
-
-    /*
-     * 句子对象
-     */
-    public class Sentence {
-        String value;
-        private double score;
-
-        private MapCount mc = new MapCount<>();
-
-        public Sentence(String value) {
-            this.value = value.trim();
-        }
-
-        public void updateScore(String name, double score) {
-            mc.add(name);
-            Double size = mc.get().get(name);
-            this.score += score / size;
-        }
-
-        @Override
-        public String toString() {
-            return value;
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/TagContent.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/TagContent.java
deleted file mode 100644
index 9012d5468..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/TagContent.java
+++ /dev/null
@@ -1,55 +0,0 @@
-package org.ansj.app.summary;
-
-import org.ansj.app.keyword.Keyword;
-import org.ansj.app.summary.pojo.Summary;
-import org.nlpcn.commons.lang.tire.SmartGetWord;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-
-import java.util.List;
-
-/**
- * 关键字标红，
- * 
- * @author ansj
- * 
- */
-public class TagContent {
-
-    private String beginTag, endTag;
-
-    public TagContent(String beginTag, String endTag) {
-        this.beginTag = beginTag;
-        this.endTag = endTag;
-    }
-
-    public String tagContent(Summary summary) {
-        return tagContent(summary.getKeyWords(), summary.getSummary());
-    }
-
-    public String tagContent(List keyWords, String content) {
-        SmartForest sf = new SmartForest<>();
-        for (Keyword keyWord : keyWords) {
-            sf.add(keyWord.getName().toLowerCase(), keyWord.getScore());
-        }
-
-        SmartGetWord sgw = new SmartGetWord<>(sf, content.toLowerCase());
-
-        int beginOffe = 0;
-        String temp = null;
-        StringBuilder sb = new StringBuilder();
-        while ((temp = sgw.getFrontWords()) != null) {
-            sb.append(content.substring(beginOffe, sgw.offe));
-            sb.append(beginTag);
-            sb.append(content.substring(sgw.offe, sgw.offe + temp.length()));
-            sb.append(endTag);
-            beginOffe = sgw.offe + temp.length();
-        }
-
-        if (beginOffe <= content.length() - 1) {
-            sb.append(content.substring(beginOffe, content.length()));
-        }
-
-        return sb.toString();
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/pojo/Summary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/pojo/Summary.java
deleted file mode 100644
index 392950aa0..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/app/summary/pojo/Summary.java
+++ /dev/null
@@ -1,38 +0,0 @@
-package org.ansj.app.summary.pojo;
-
-import org.ansj.app.keyword.Keyword;
-
-import java.util.List;
-
-/**
- * 摘要结构体封装
- * 
- * @author ansj
- * 
- */
-public class Summary {
-
-    /**
-     * 关键词
-     */
-    private List keyWords = null;
-
-    /**
-     * 摘要
-     */
-    private String summary;
-
-    public Summary(List keyWords, String summary) {
-        this.keyWords = keyWords;
-        this.summary = summary;
-    }
-
-    public List getKeyWords() {
-        return keyWords;
-    }
-
-    public String getSummary() {
-        return summary;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/DicReader.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/DicReader.java
deleted file mode 100644
index 846fa4cff..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/DicReader.java
+++ /dev/null
@@ -1,36 +0,0 @@
-package org.ansj.dic;
-
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.io.UnsupportedEncodingException;
-
-/**
- * 加载词典用的类
- * 
- * @author ansj
- */
-public class DicReader {
-
-    private static final Log logger = LogFactory.getLog();
-
-    public static BufferedReader getReader(String name) {
-        // maven工程修改词典加载方式
-        InputStream in = DicReader.class.getResourceAsStream("/" + name);
-        try {
-            return new BufferedReader(new InputStreamReader(in, "UTF-8"));
-        } catch (UnsupportedEncodingException e) {
-            logger.warn("不支持的编码", e);
-        }
-        return null;
-    }
-
-    public static InputStream getInputStream(String name) {
-        // maven工程修改词典加载方式
-        InputStream in = DicReader.class.getResourceAsStream("/" + name);
-        return in;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/LearnTool.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/LearnTool.java
deleted file mode 100644
index e7b108c8a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/LearnTool.java
+++ /dev/null
@@ -1,187 +0,0 @@
-package org.ansj.dic;
-
-import org.ansj.app.crf.SplitWord;
-import org.ansj.domain.Nature;
-import org.ansj.domain.NewWord;
-import org.ansj.domain.TermNatures;
-import org.ansj.recognition.arrimpl.AsianPersonRecognition;
-import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
-import org.ansj.recognition.impl.NatureRecognition;
-import org.ansj.util.Graph;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.CollectionUtil;
-
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map.Entry;
-
-/**
- * 新词发现,这是个线程安全的.所以可以多个对象公用一个
- * 
- * @author ansj
- * 
- */
-public class LearnTool {
-
-    private SplitWord splitWord = null;
-
-    /**
-     * 是否开启学习机
-     */
-    public boolean isAsianName = true;
-
-    public boolean isForeignName = true;
-
-    /**
-     * 告诉大家你学习了多少个词了
-     */
-    public int count;
-
-    /**
-     * 新词发现的结果集.可以序列化到硬盘.然后可以当做训练集来做.
-     */
-    private final SmartForest sf = new SmartForest<>();
-
-    /**
-     * 学习新词排除用户自定义词典那中的词语
-     */
-    private Forest[] forests;
-
-    /**
-     * 公司名称学习.
-     * 
-     * @param graph
-     */
-    public void learn(Graph graph, SplitWord splitWord, Forest... forests) {
-
-        this.splitWord = splitWord;
-
-        this.forests = forests;
-
-        // 亚洲人名识别
-        if (isAsianName) {
-            findAsianPerson(graph);
-        }
-
-        // 外国人名识别
-        if (isForeignName) {
-            findForeignPerson(graph);
-        }
-
-    }
-
-    private void findAsianPerson(Graph graph) {
-        List newWords = new AsianPersonRecognition().getNewWords(graph.terms);
-        addListToTerm(newWords);
-    }
-
-    private void findForeignPerson(Graph graph) {
-        List newWords = new ForeignPersonRecognition().getNewWords(graph.terms);
-        addListToTerm(newWords);
-    }
-
-    // 批量将新词加入到词典中
-    private void addListToTerm(List newWords) {
-        if (newWords.isEmpty())
-            return;
-        for (NewWord newWord : newWords) {
-
-            TermNatures termNatures = new NatureRecognition(forests).getTermNatures(newWord.getName());
-
-            if (termNatures == TermNatures.NULL) {
-                addTerm(newWord);
-            }
-        }
-    }
-
-    /**
-     * 增加一个新词到树中
-     * 
-     * @param newWord
-     */
-    public void addTerm(NewWord newWord) {
-        NewWord temp = null;
-        SmartForest smartForest = null;
-        if ((smartForest = sf.getBranch(newWord.getName())) != null && smartForest.getParam() != null) {
-            temp = smartForest.getParam();
-            temp.update(newWord.getNature(), newWord.getAllFreq());
-        } else {
-            count++;
-            if (splitWord == null) {
-                newWord.setScore(-1);
-            } else {
-                newWord.setScore(-splitWord.cohesion(newWord.getName()));
-            }
-
-            synchronized (sf) {
-                sf.add(newWord.getName(), newWord);
-            }
-        }
-    }
-
-    public SmartForest getForest() {
-        return this.sf;
-    }
-
-    /**
-     * 返回学习到的新词.
-     * 
-     * @param num 返回数目.0为全部返回
-     * @return
-     */
-    public List> getTopTree(int num) {
-        return getTopTree(num, null);
-    }
-
-    public List> getTopTree(int num, Nature nature) {
-        if (sf.branches == null) {
-            return null;
-        }
-        HashMap hm = new HashMap<>();
-        for (int i = 0; i < sf.branches.length; i++) {
-            valueResult(sf.branches[i], hm, nature);
-        }
-        List> sortMapByValue = CollectionUtil.sortMapByValue(hm, -1);
-        if (num == 0) {
-            return sortMapByValue;
-        } else {
-            num = Math.min(num, sortMapByValue.size());
-            return sortMapByValue.subList(0, num);
-        }
-    }
-
-    private void valueResult(SmartForest smartForest, HashMap hm, Nature nature) {
-
-        if (smartForest == null || smartForest.branches == null) {
-            return;
-        }
-        for (int i = 0; i < smartForest.branches.length; i++) {
-            NewWord param = smartForest.branches[i].getParam();
-            if (smartForest.branches[i].getStatus() == 3) {
-                if (param.isActive() && (nature == null || param.getNature().equals(nature))) {
-                    hm.put(param.getName(), param.getScore());
-                }
-            } else if (smartForest.branches[i].getStatus() == 2) {
-                if (param.isActive() && (nature == null || param.getNature().equals(nature))) {
-                    hm.put(param.getName(), param.getScore());
-                }
-                valueResult(smartForest.branches[i], hm, nature);
-            } else {
-                valueResult(smartForest.branches[i], hm, nature);
-            }
-        }
-    }
-
-    /**
-     * 尝试激活，新词
-     * 
-     * @param name
-     */
-    public void active(String name) {
-        SmartForest branch = sf.getBranch(name);
-        if (branch != null && branch.getParam() != null) {
-            branch.getParam().setActive(true);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/PathToStream.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/PathToStream.java
deleted file mode 100644
index 3b1d88546..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/PathToStream.java
+++ /dev/null
@@ -1,52 +0,0 @@
-package org.ansj.dic;
-
-import org.ansj.dic.impl.File2Stream;
-import org.ansj.dic.impl.Jar2Stream;
-import org.ansj.dic.impl.Jdbc2Stream;
-import org.ansj.dic.impl.Url2Stream;
-import org.ansj.exception.LibraryException;
-import org.deeplearning4j.common.config.DL4JClassLoading;
-
-import java.io.InputStream;
-
-/**
- * 将路径转换为流，如果你需要实现自己的加载器请实现这个类，使用这个类可能需要自己依赖第三方包，比如jdbc连接和nutz
- * 
- * @author ansj
- *
- */
-public abstract class PathToStream {
-
-    public static InputStream stream(String path) {
-        try {
-            if (path.startsWith("file://")) {
-                return new File2Stream().toStream(path);
-            } else if (path.startsWith("jdbc://")) {
-                return new Jdbc2Stream().toStream(path);
-            } else if (path.startsWith("jar://")) {
-                return new Jar2Stream().toStream(path);
-            } else if (path.startsWith("class://")) {
-                // Probably unused
-                return loadClass(path);
-            } else if (path.startsWith("http://") || path.startsWith("https://")) {
-                return new Url2Stream().toStream(path);
-            } else {
-                return new File2Stream().toStream(path);
-            }
-        } catch (Exception e) {
-            throw new LibraryException(e);
-        }
-    }
-
-    public abstract InputStream toStream(String path);
-
-    static InputStream loadClass(String path) {
-        String className = path
-                .substring("class://".length())
-                .split("\\|")[0];
-
-        return DL4JClassLoading
-                .createNewInstance(className, PathToStream.class)
-                .toStream(path);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/File2Stream.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/File2Stream.java
deleted file mode 100644
index 4672c4881..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/File2Stream.java
+++ /dev/null
@@ -1,89 +0,0 @@
-package org.ansj.dic.impl;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.exception.LibraryException;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.*;
-import java.util.Vector;
-
-/**
- * 将文件转换为流 file://c:/dic.txt
- * 
- * @author ansj
- *
- */
-public class File2Stream extends PathToStream {
-
-    private static final Log LOG = LogFactory.getLog(File2Stream.class);
-
-    @Override
-    public InputStream toStream(String path) {
-        LOG.info("path to stream " + path);
-
-        if (path.startsWith("file://")) {
-            path = path.substring(7);
-        }
-
-        File file = new File(path);
-
-        if (file.exists() && file.canRead()) {
-
-            try {
-                if (file.isDirectory()) {
-                    return multiple(path);
-                } else {
-                    return new FileInputStream(file);
-                }
-            } catch (Exception e) {
-                throw new LibraryException(e);
-            }
-        }
-        throw new LibraryException(
-                        " path :" + path + " file:" + file.getAbsolutePath() + " not found or can not to read");
-
-    }
-
-    private InputStream multiple(String path) throws FileNotFoundException {
-        File[] libs = new File[0];
-
-        File file = new File(path);
-
-        if (file.exists() && file.canRead()) {
-            if (file.isFile()) {
-                libs = new File[1];
-                libs[0] = file;
-            } else if (file.isDirectory()) {
-
-                File[] files = file.listFiles(new FileFilter() {
-                    @Override
-                    public boolean accept(File file) {
-                        return file.canRead() && !file.isHidden() && !file.isDirectory();
-                    }
-                });
-
-                if (files != null && files.length > 0) {
-                    libs = files;
-                }
-            }
-        }
-
-        if (libs.length == 0) {
-            throw new LibraryException("not find any file in path : " + path);
-        }
-
-        if (libs.length == 1) {
-            return new FileInputStream(libs[0]);
-        }
-
-        Vector vector = new Vector<>(libs.length);
-
-        for (int i = 0; i < libs.length; i++) {
-            vector.add(new FileInputStream(libs[i]));
-        }
-
-        return new SequenceInputStream(vector.elements());
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Jar2Stream.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Jar2Stream.java
deleted file mode 100644
index 6d423acd5..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Jar2Stream.java
+++ /dev/null
@@ -1,36 +0,0 @@
-package org.ansj.dic.impl;
-
-import org.ansj.dic.DicReader;
-import org.ansj.dic.PathToStream;
-import org.ansj.exception.LibraryException;
-import org.deeplearning4j.common.config.DL4JClassLoading;
-
-import java.io.InputStream;
-
-/**
- * 从系统jar包中读取文件，你们不能用，只有我能用 jar://org.ansj.dic.DicReader|/crf.model
- * 
- * @author ansj
- *
- */
-public class Jar2Stream extends PathToStream {
-
-    @Override
-    public InputStream toStream(String path) {
-        if (path.contains("|")) {
-            String[] tokens = path.split("\\|");
-            String className = tokens[0].substring(6);
-            String resourceName = tokens[1].trim();
-
-            Class resourceClass = DL4JClassLoading.loadClassByName(className);
-            if (resourceClass == null) {
-                throw new LibraryException(String.format("Class '%s' was not found.", className));
-            }
-
-            return resourceClass.getResourceAsStream(resourceName);
-        } else {
-            return DicReader.getInputStream(path.substring(6));
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Jdbc2Stream.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Jdbc2Stream.java
deleted file mode 100644
index f8dba2159..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Jdbc2Stream.java
+++ /dev/null
@@ -1,100 +0,0 @@
-package org.ansj.dic.impl;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.exception.LibraryException;
-import org.deeplearning4j.common.config.DL4JClassLoading;
-
-import java.io.ByteArrayInputStream;
-import java.io.ByteArrayOutputStream;
-import java.io.InputStream;
-import java.sql.Connection;
-import java.sql.DriverManager;
-import java.sql.PreparedStatement;
-import java.sql.ResultSet;
-
-/**
- * jdbc:mysql://192.168.10.103:3306/infcn_mss?useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull|username|password|select name as name,nature,freq from dic where type=1
- *
- * @author ansj
- */
-public class Jdbc2Stream extends PathToStream {
-
-    private static final byte[] TAB = "\t".getBytes();
-
-    private static final byte[] LINE = "\n".getBytes();
-
-    private static final String[] JDBC_DRIVERS = {
-            "org.h2.Driver",
-            "com.ibm.db2.jcc.DB2Driver",
-            "org.hsqldb.jdbcDriver",
-            "org.gjt.mm.mysql.Driver",
-            "oracle.jdbc.OracleDriver",
-            "org.postgresql.Driver",
-            "net.sourceforge.jtds.jdbc.Driver",
-            "com.microsoft.sqlserver.jdbc.SQLServerDriver",
-            "org.sqlite.JDBC",
-            "com.mysql.jdbc.Driver"
-    };
-
-    static {
-        loadJdbcDrivers();
-    }
-
-    static void loadJdbcDrivers() {
-        for (String driverClassName : JDBC_DRIVERS) {
-            DL4JClassLoading.loadClassByName(driverClassName);
-        }
-    }
-
-    @Override
-    public InputStream toStream(String path) {
-        path = path.substring(7);
-
-        String[] split = path.split("\\|");
-
-        String jdbc = split[0];
-
-        String username = split[1];
-
-        String password = split[2];
-
-        String sqlStr = split[3];
-
-        String logStr = jdbc + "|" + username + "|********|" + sqlStr;
-
-        try (Connection conn = DriverManager.getConnection(jdbc, username, password);
-                        PreparedStatement statement = conn.prepareStatement(sqlStr);
-                        ResultSet rs = statement.executeQuery();
-                        ByteArrayOutputStream baos = new ByteArrayOutputStream(100 * 1024)) {
-
-            int i, count;
-            while (rs.next()) {
-                for (i = 1, count = rs.getMetaData().getColumnCount(); i < count; ++i) {
-                    baos.write(String.valueOf(rs.getObject(i)).getBytes());
-                    baos.write(TAB);
-                }
-                baos.write(String.valueOf(rs.getObject(count)).getBytes());
-                baos.write(LINE);
-            }
-
-            return new ByteArrayInputStream(baos.toByteArray());
-        } catch (Exception e) {
-            throw new LibraryException("err to load by jdbc " + logStr);
-        }
-    }
-
-    public static String encryption(String path) {
-
-        String[] split = path.split("\\|");
-
-        String jdbc = split[0];
-
-        String username = split[1];
-
-        String password = split[2];
-
-        String sqlStr = split[3];
-
-        return jdbc + "|" + username + "|********|" + sqlStr;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Url2Stream.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Url2Stream.java
deleted file mode 100644
index e53415ba7..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/dic/impl/Url2Stream.java
+++ /dev/null
@@ -1,28 +0,0 @@
-package org.ansj.dic.impl;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.exception.LibraryException;
-
-import java.io.InputStream;
-import java.net.URL;
-
-/**
- * url://http://maven.nlpcn.org/down/library/default.dic
- * 
- * @author ansj
- *
- */
-public class Url2Stream extends PathToStream {
-
-    @Override
-    public InputStream toStream(String path) {
-        try {
-            URL url = new URL(path);
-            return url.openStream();
-        } catch (Exception e) {
-            throw new LibraryException("err to load by http " + path + " message : " + e.getMessage());
-        }
-
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/AnsjItem.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/AnsjItem.java
deleted file mode 100644
index cabd19e05..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/AnsjItem.java
+++ /dev/null
@@ -1,62 +0,0 @@
-package org.ansj.domain;
-
-import org.nlpcn.commons.lang.dat.Item;
-
-import java.io.Serializable;
-import java.util.Map;
-
-public class AnsjItem extends Item implements Serializable {
-
-    private static final long serialVersionUID = 1L;
-
-    public static final AnsjItem NULL = new AnsjItem();
-
-    public static final AnsjItem BEGIN = new AnsjItem();
-
-    public static final AnsjItem END = new AnsjItem();
-
-    static {
-        NULL.base = 0;
-
-        BEGIN.index = 0;
-        BEGIN.termNatures = TermNatures.BEGIN;
-
-        END.index = -1;
-        END.termNatures = TermNatures.END;
-    }
-
-    public String param;
-
-    /**
-     * frequency : 词性词典,以及词性的相关权重
-     */
-    public TermNatures termNatures = null;
-
-    public Map bigramEntryMap = null;
-
-    @Override
-    public void init(String[] split) {
-        this.name = split[0];
-        this.param = split[1];
-    }
-
-    @Override
-    public void initValue(String[] split) {
-        index = Integer.parseInt(split[0]);
-        base = Integer.parseInt(split[2]);
-        check = Integer.parseInt(split[3]);
-        status = Byte.parseByte(split[4]);
-        if (status > 1) {
-            name = split[1];
-            termNatures = new TermNatures(TermNature.setNatureStrToArray(split[5]), index);
-        } else {
-            termNatures = new TermNatures(TermNature.NULL);
-        }
-    }
-
-    @Override
-    public String toText() {
-        return index + "\t" + name + "\t" + base + "\t" + check + "\t" + status + "\t" + param;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/KV.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/KV.java
deleted file mode 100644
index 442a9a7c0..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/KV.java
+++ /dev/null
@@ -1,33 +0,0 @@
-package org.ansj.domain;
-
-public class KV {
-
-    private K k;
-
-    private V v;
-
-    private KV(K k, V v) {
-        this.k = k;
-        this.v = v;
-    }
-
-    public static  KV with(K k, V v) {
-        return new KV<>(k, v);
-    }
-
-    public void setK(K k) {
-        this.k = k;
-    }
-
-    public void setV(V v) {
-        this.v = v;
-    }
-
-    public K getK() {
-        return k;
-    }
-
-    public V getV() {
-        return v;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Nature.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Nature.java
deleted file mode 100644
index 024e8cb10..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Nature.java
+++ /dev/null
@@ -1,53 +0,0 @@
-package org.ansj.domain;
-
-import org.ansj.library.NatureLibrary;
-
-import java.io.Serializable;
-
-/**
- * 这里面封装了一些基本的词性.
- * 
- * @author ansj
- * 
- */
-public class Nature implements Serializable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = -1427092012930357598L;
-    // 词性的名称
-    public final String natureStr;
-    // 词性对照表的位置
-    public final int index;
-    // 词性的下标值
-    public final int natureIndex;
-    // 词性的频率
-    public final int allFrequency;
-
-    public static final Nature NW = NatureLibrary.getNature("nw");
-
-    public static final Nature NRF = NatureLibrary.getNature("nrf");
-
-    public static final Nature NR = NatureLibrary.getNature("nr");
-
-    public static final Nature NULL = NatureLibrary.getNature("null");
-
-    public Nature(String natureStr, int index, int natureIndex, int allFrequency) {
-        this.natureStr = natureStr;
-        this.index = index;
-        this.natureIndex = natureIndex;
-        this.allFrequency = allFrequency;
-    }
-
-    public Nature(String natureStr) {
-        this.natureStr = natureStr;
-        this.index = 0;
-        this.natureIndex = 0;
-        this.allFrequency = 0;
-    }
-
-    @Override
-    public String toString() {
-        return natureStr + ":" + index + ":" + natureIndex;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/NewWord.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/NewWord.java
deleted file mode 100644
index 26bceeb28..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/NewWord.java
+++ /dev/null
@@ -1,96 +0,0 @@
-package org.ansj.domain;
-
-import java.io.Serializable;
-
-/**
- * 新词发现,实体名
- * 
- * @author ansj
- * 
- */
-public class NewWord implements Serializable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 7226797287286838356L;
-    // 名字
-    private String name;
-    // 分数
-    private double score;
-    // 词性
-    private Nature nature;
-    // 总词频
-    private int allFreq;
-    // 此词是否被激活
-    private boolean isActive;
-
-    public NewWord(String name, Nature nature, double score) {
-        this.name = name;
-        this.nature = nature;
-        this.score = score;
-        this.allFreq = 1;
-    }
-
-    public NewWord(String name, Nature nature) {
-        this.name = name;
-        this.nature = nature;
-        this.allFreq = 1;
-    }
-
-    public String getName() {
-        return name;
-    }
-
-    public void setName(String name) {
-        this.name = name;
-    }
-
-    public double getScore() {
-        return score;
-    }
-
-    public Nature getNature() {
-        return nature;
-    }
-
-    public void setNature(Nature nature) {
-        this.nature = nature;
-    }
-
-    /**
-     * 更新发现权重,并且更新词性
-     * 
-     * @param version
-     * @param i
-     * @param tn
-     */
-    public void update(Nature nature, int freq) {
-        this.score += score * freq;
-        this.allFreq += freq;
-        if (Nature.NW != nature) {
-            this.nature = nature;
-        }
-    }
-
-    @Override
-    public String toString() {
-        return this.name + "\t" + this.score + "\t" + this.getNature().natureStr;
-    }
-
-    public int getAllFreq() {
-        return allFreq;
-    }
-
-    public void setScore(double score) {
-        this.score = score;
-    }
-
-    public boolean isActive() {
-        return isActive;
-    }
-
-    public void setActive(boolean isActive) {
-        this.isActive = isActive;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/NumNatureAttr.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/NumNatureAttr.java
deleted file mode 100644
index 4204fe3b4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/NumNatureAttr.java
+++ /dev/null
@@ -1,24 +0,0 @@
-package org.ansj.domain;
-
-import java.io.Serializable;
-
-public class NumNatureAttr implements Serializable {
-
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 1L;
-
-    public static final NumNatureAttr NULL = new NumNatureAttr();
-
-    // 是有可能是一个数字
-    public int numFreq = -1;
-
-    // 数字的结尾
-    public int numEndFreq = -1;
-
-    // 最大词性是否是数字
-    public boolean flag = false;
-
-    public NumNatureAttr() {}
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/PersonNatureAttr.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/PersonNatureAttr.java
deleted file mode 100644
index 6ca894d2e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/PersonNatureAttr.java
+++ /dev/null
@@ -1,109 +0,0 @@
-package org.ansj.domain;
-
-import java.io.Serializable;
-
-/**
- * 人名标注pojo类
- * 
- * @author ansj
- * 
- */
-public class PersonNatureAttr implements Serializable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = -8443825231800208197L;
-
-    // public int B = -1;//0 姓氏
-    // public int C = -1;//1 双名的首字
-    // public int D = -1;//2 双名的末字
-    // public int E = -1;//3 单名
-    // public int N = -1; //4任意字
-    // public int L = -1;//11 人名的下文
-    // public int M = -1;//12 两个中国人名之间的成分
-    // public int m = -1;//44 可拆分的姓名
-    // String[] parretn = {"BC", "BCD", "BCDE", "BCDEN"}
-    // double[] factory = {"BC", "BCD", "BCDE", "BCDEN"}
-
-    public static final PersonNatureAttr NULL = new PersonNatureAttr();
-
-    private int[][] locFreq = null;
-
-    public int split;
-    // 12
-    public int begin;
-    // 11+12
-    public int end;
-
-    public int allFreq;
-
-    // 是否有可能是名字的第一个字
-    public boolean flag;
-
-    /**
-     * 设置
-     * 
-     * @param index
-     * @param freq
-     */
-    public void addFreq(int index, int freq) {
-        switch (index) {
-            case 11:
-                this.end += freq;
-                allFreq += freq;
-                break;
-            case 12:
-                this.end += freq;
-                this.begin += freq;
-                allFreq += freq;
-                break;
-            case 44:
-                this.split += freq;
-                allFreq += freq;
-                break;
-        }
-    }
-
-    /**
-     * 得道某一个位置的词频
-     * 
-     * @param length
-     * @param loc
-     * @return
-     */
-    public int getFreq(int length, int loc) {
-        if (locFreq == null)
-            return 0;
-        if (length > 3)
-            length = 3;
-        if (loc > 4)
-            loc = 4;
-        return locFreq[length][loc];
-    }
-
-    /**
-     * 词频记录表
-     * 
-     * @param ints
-     */
-    public void setlocFreq(int[][] ints) {
-        for (int i = 0; i < ints.length; i++) {
-            if (ints[i][0] > 0) {
-                flag = true;
-                break;
-            }
-        }
-        locFreq = ints;
-    }
-
-    @Override
-    public String toString() {
-        StringBuilder sb = new StringBuilder();
-        sb.append("begin=" + begin);
-        sb.append(",");
-        sb.append("end=" + end);
-        sb.append(",");
-        sb.append("split=" + split);
-        return sb.toString();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Result.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Result.java
deleted file mode 100644
index 097269ff4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Result.java
+++ /dev/null
@@ -1,94 +0,0 @@
-package org.ansj.domain;
-
-import org.ansj.recognition.Recognition;
-import org.nlpcn.commons.lang.util.StringUtil;
-
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * 分词结果的一个封装
- * 
- * @author Ansj
- *
- */
-public class Result implements Iterable {
-
-    private List terms = null;
-
-    public Result(List terms) {
-        this.terms = terms;
-    }
-
-    public List getTerms() {
-        return terms;
-    }
-
-    public void setTerms(List terms) {
-        this.terms = terms;
-    }
-
-    @Override
-    public Iterator iterator() {
-        return terms.iterator();
-    }
-
-    public int size() {
-        return terms.size();
-    }
-
-    public Term get(int index) {
-        return terms.get(index);
-    }
-
-    /**
-     * 调用一个发现引擎
-     * 
-     * @return
-     */
-    public Result recognition(Recognition re) {
-        re.recognition(this);
-        return this;
-    }
-
-    @Override
-    public String toString() {
-        return toString(",");
-    }
-
-
-    public String toString(String split) {
-        return StringUtil.joiner(this.terms, split);
-    }
-
-    /**
-     * 返回没有词性的切分结果
-     * @return
-     */
-    public String toStringWithOutNature() {
-        return toStringWithOutNature(",");
-    }
-
-    /**
-     * 返回没有词性的切分结果
-     * @return
-     */
-    public String toStringWithOutNature(String split) {
-
-        if (terms == null || terms.isEmpty()) {
-            return "";
-        }
-
-        Iterator iterator = terms.iterator();
-
-        StringBuilder sb = new StringBuilder(iterator.next().getRealName());
-
-        while (iterator.hasNext()) {
-            sb.append(split);
-            sb.append(iterator.next().getRealName());
-        }
-
-        return sb.toString();
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Term.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Term.java
deleted file mode 100644
index 6dc12533d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/Term.java
+++ /dev/null
@@ -1,300 +0,0 @@
-package org.ansj.domain;
-
-import org.ansj.util.MathUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-
-import java.io.Serializable;
-import java.util.List;
-import java.util.Map;
-
-public class Term implements Serializable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 1L;
-    // 当前词
-    private String name;
-    //
-    private String realName;
-    // 当前词的起始位置
-    private int offe;
-    // 词性列表
-    private TermNatures termNatures = TermNatures.NULL;
-    // 词性列表
-    private AnsjItem item = AnsjItem.NULL;
-    // 同一行内数据
-    private Term next;
-    // 分数
-    private double score = 0;
-    // 本身分数
-    private double selfScore = 1;
-    // 起始位置
-    private Term from;
-    // 到达位置
-    private Term to;
-    // 本身这个term的词性.需要在词性识别之后才会有值,默认是空
-    private Nature nature = Nature.NULL;
-    //是否是一个新词
-    private boolean newWord;
-    //同义词
-    private List synonyms;
-
-
-    private List subTerm = null;
-
-    public Term(String name, int offe, AnsjItem item) {
-        super();
-        this.name = name;
-        this.offe = offe;
-        this.item = item;
-        if (item.termNatures != null) {
-            this.termNatures = item.termNatures;
-            if (termNatures.nature != null) {
-                this.nature = termNatures.nature;
-            }
-        }
-    }
-
-    public Term(String name, int offe, TermNatures termNatures) {
-        super();
-        this.name = name;
-        this.offe = offe;
-        this.termNatures = termNatures;
-        if (termNatures.nature != null) {
-            this.nature = termNatures.nature;
-        }
-    }
-
-    public Term(String name, int offe, String natureStr, int natureFreq) {
-        super();
-        this.name = name;
-        this.offe = offe;
-        TermNature termNature = new TermNature(natureStr, natureFreq);
-        this.nature = termNature.nature;
-        this.termNatures = new TermNatures(termNature);
-    }
-
-    // 可以到达的位置
-    public int toValue() {
-        return offe + name.length();
-    }
-
-    public int getOffe() {
-        return offe;
-    }
-
-    public void setOffe(int offe) {
-        this.offe = offe;
-    }
-
-    public String getName() {
-        return name;
-    }
-
-    public void setName(String name) {
-        this.name = name;
-    }
-
-    /**
-     * 核心构建最优的路径
-     * 
-     * @param term
-     */
-    public void setPathScore(Term from, Map relationMap) {
-        // 维特比进行最优路径的构建
-        double score = MathUtil.compuScore(from, this, relationMap);
-        if (this.from == null || this.score == 0 || this.score >= score) {
-            this.setFromAndScore(from, score);
-        }
-    }
-
-    /**
-     * 核心分数的最优的路径,越小越好
-     * 
-     * @param term
-     */
-    public void setPathSelfScore(Term from) {
-        double score = this.selfScore + from.score;
-        // 维特比进行最优路径的构建
-        if (this.from == null || this.score > score) {
-            this.setFromAndScore(from, score);
-        }
-    }
-
-    private void setFromAndScore(Term from, double score) {
-        this.from = from;
-        this.score = score;
-    }
-
-    /**
-     * 进行term合并
-     * 
-     * @param term
-     * @param maxNature
-     */
-    public Term merage(Term to) {
-        this.name = this.name + to.getName();
-        if (StringUtil.isNotBlank(this.realName) && StringUtil.isNotBlank(to.getRealName())) {
-            this.realName = this.realName + to.getRealName();
-        }
-        this.setTo(to.to);
-        return this;
-    }
-
-    /**
-     * 进行term合并,能合并空白字符
-     * 
-     * @param term
-     * @param maxNature
-     */
-    public Term merageWithBlank(Term to) {
-        this.name = this.name + to.getName();
-        this.realName = this.realName + to.getRealName();
-        this.setTo(to.to);
-        return this;
-    }
-
-    /**
-     * 更新偏移量
-     * 
-     * @param offe
-     */
-    public void updateOffe(int offe) {
-        this.offe += offe;
-    }
-
-    public Term next() {
-        return next;
-    }
-
-    /**
-     * 返回他自己
-     * 
-     * @param next
-     *            设置他的下一个
-     * @return
-     */
-    public Term setNext(Term next) {
-        this.next = next;
-        return this;
-    }
-
-    public Term from() {
-        return from;
-    }
-
-    public Term to() {
-        return to;
-    }
-
-    public void setFrom(Term from) {
-        this.from = from;
-    }
-
-    public void setTo(Term to) {
-        this.to = to;
-    }
-
-    /**
-     * 获得这个term的所有词性
-     * 
-     * @return
-     */
-    public TermNatures termNatures() {
-        return termNatures;
-    }
-
-    public void setNature(Nature nature) {
-        this.nature = nature;
-    }
-
-    /**
-     * 获得这个词的词性.词性计算后才可生效
-     * 
-     * @return
-     */
-    public Nature natrue() {
-        return nature;
-    }
-
-    public String getNatureStr() {
-        return nature.natureStr;
-    }
-
-    @Override
-    public String toString() {
-        if ("null".equals(nature.natureStr)) {
-            return this.getRealName();
-        }
-        return this.getRealName() + "/" + nature.natureStr;
-    }
-
-    /**
-     * 将term的所有分数置为0
-     */
-    public void clearScore() {
-        this.score = 0;
-        this.selfScore = 0;
-    }
-
-    public void setSubTerm(List subTerm) {
-        this.subTerm = subTerm;
-    }
-
-    public List getSubTerm() {
-        return subTerm;
-    }
-
-    public String getRealName() {
-        if (realName == null) {
-            return name;
-        }
-        return realName;
-    }
-
-    public void setRealName(String realName) {
-        this.realName = realName;
-    }
-
-    public double score() {
-        return this.score;
-    }
-
-    public void score(double score) {
-        this.score = score;
-    }
-
-    public double selfScore() {
-        return this.selfScore;
-    }
-
-    public void selfScore(double selfScore) {
-        this.selfScore = selfScore;
-    }
-
-    public AnsjItem item() {
-        return this.item;
-    }
-
-    public boolean isNewWord() {
-        return newWord;
-    }
-
-    public void setNewWord(boolean newWord) {
-        this.newWord = newWord;
-    }
-
-    public void updateTermNaturesAndNature(TermNatures termNatures) {
-        this.termNatures = termNatures;
-        this.nature = termNatures.nature;
-    }
-
-    public List getSynonyms() {
-        return synonyms;
-    }
-
-    public void setSynonyms(List synonyms) {
-        this.synonyms = synonyms;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/TermNature.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/TermNature.java
deleted file mode 100644
index 2db848a3f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/TermNature.java
+++ /dev/null
@@ -1,60 +0,0 @@
-package org.ansj.domain;
-
-import org.ansj.library.NatureLibrary;
-
-import java.io.Serializable;
-
-/**
- * 一个词里面会有一些词性
- * 
- * @author ansj
- */
-public class TermNature implements Serializable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 5538058744208591381L;
-    /**
-     * 系统内置的几个
-     */
-    public static final TermNature M = new TermNature("m", 1);
-    public static final TermNature EN = new TermNature("en", 1);
-    public static final TermNature BEGIN = new TermNature("始##始", 1);
-    public static final TermNature END = new TermNature("末##末", 1);
-    public static final TermNature USER_DEFINE = new TermNature("userDefine", 1);
-    public static final TermNature NR = new TermNature("nr", 1);
-    public static final TermNature NT = new TermNature("nt", 1);
-    public static final TermNature NS = new TermNature("ns", 1);
-    public static final TermNature NW = new TermNature("nw", 1);
-    public static final TermNature NRF = new TermNature("nrf", 1);
-    public static final TermNature NULL = new TermNature("null", 1);
-
-    public Nature nature;
-
-    public int frequency;
-
-    public TermNature(String natureStr, int frequency) {
-        this.nature = NatureLibrary.getNature(natureStr);
-        this.frequency = frequency;
-    }
-
-    public static TermNature[] setNatureStrToArray(String natureStr) {
-
-        natureStr = natureStr.substring(1, natureStr.length() - 1);
-        String[] split = natureStr.split(",");
-        String[] strs = null;
-        Integer frequency = null;
-        TermNature[] all = new TermNature[split.length];
-        for (int i = 0; i < split.length; i++) {
-            strs = split[i].split("=");
-            frequency = Integer.parseInt(strs[1]);
-            all[i] = new TermNature(strs[0].trim(), frequency);
-        }
-        return all;
-    }
-
-    @Override
-    public String toString() {
-        return nature.natureStr + "/" + frequency;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/TermNatures.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/TermNatures.java
deleted file mode 100644
index 9fe92a629..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/domain/TermNatures.java
+++ /dev/null
@@ -1,140 +0,0 @@
-package org.ansj.domain;
-
-import java.io.Serializable;
-
-/**
- * 每一个term都拥有一个词性集合
- * 
- * @author ansj
- * 
- */
-public class TermNatures implements Serializable {
-
-    private static final long serialVersionUID = 1L;
-
-    public static final TermNatures M = new TermNatures(TermNature.M);
-
-    public static final TermNatures NR = new TermNatures(TermNature.NR);
-
-    public static final TermNatures EN = new TermNatures(TermNature.EN);
-
-    public static final TermNatures END = new TermNatures(TermNature.END, 50610, -1);
-
-    public static final TermNatures BEGIN = new TermNatures(TermNature.BEGIN, 50610, 0);
-
-    public static final TermNatures NT = new TermNatures(TermNature.NT);
-
-    public static final TermNatures NS = new TermNatures(TermNature.NS);
-
-    public static final TermNatures NRF = new TermNatures(TermNature.NRF);
-
-    public static final TermNatures NW = new TermNatures(TermNature.NW);
-
-    public static final TermNatures NULL = new TermNatures(TermNature.NULL);;
-
-    /**
-     * 关于这个term的所有词性
-     */
-    public TermNature[] termNatures = null;
-
-    /**
-     * 数字属性
-     */
-    public NumNatureAttr numAttr = NumNatureAttr.NULL;
-
-    /**
-     * 人名词性
-     */
-    public PersonNatureAttr personAttr = PersonNatureAttr.NULL;
-
-    /**
-     * 默认词性
-     */
-    public Nature nature = null;
-
-    /**
-     * 所有的词频
-     */
-    public int allFreq = 0;
-
-    /**
-     * 词的id
-     */
-    public int id = -2;
-
-    /**
-     * 构造方法.一个词对应这种玩意
-     * 
-     * @param termNatures
-     */
-    public TermNatures(TermNature[] termNatures, int id) {
-        this.id = id;
-        this.termNatures = termNatures;
-        // find maxNature
-        int maxFreq = -1;
-        TermNature termNature = null;
-        for (int i = 0; i < termNatures.length; i++) {
-            if (maxFreq < termNatures[i].frequency) {
-                maxFreq = termNatures[i].frequency;
-                termNature = termNatures[i];
-            }
-        }
-
-        if (termNature != null) {
-            this.nature = termNature.nature;
-        }
-
-        serAttribute();
-    }
-
-    public TermNatures(TermNature termNature) {
-        termNatures = new TermNature[1];
-        this.termNatures[0] = termNature;
-        this.nature = termNature.nature;
-        serAttribute();
-    }
-
-    public TermNatures(TermNature termNature, int allFreq, int id) {
-        this.id = id;
-        termNatures = new TermNature[1];
-        termNature.frequency = allFreq;
-        this.termNatures[0] = termNature;
-        this.allFreq = allFreq;
-    }
-
-    private void serAttribute() {
-        TermNature termNature = null;
-        int max = 0;
-        NumNatureAttr numNatureAttr = null;
-        for (int i = 0; i < termNatures.length; i++) {
-            termNature = termNatures[i];
-            allFreq += termNature.frequency;
-            max = Math.max(max, termNature.frequency);
-            switch (termNature.nature.index) {
-                case 18:
-                    if (numNatureAttr == null) {
-                        numNatureAttr = new NumNatureAttr();
-                    }
-                    numNatureAttr.numFreq = termNature.frequency;
-                    break;
-                case 29:
-                    if (numNatureAttr == null) {
-                        numNatureAttr = new NumNatureAttr();
-                    }
-                    numNatureAttr.numEndFreq = termNature.frequency;
-                    break;
-            }
-        }
-        if (numNatureAttr != null) {
-            if (max == numNatureAttr.numFreq) {
-                numNatureAttr.flag = true;
-            }
-            this.numAttr = numNatureAttr;
-        }
-    }
-
-    public void setPersonNatureAttr(PersonNatureAttr personAttr) {
-        this.personAttr = personAttr;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/exception/LibraryException.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/exception/LibraryException.java
deleted file mode 100644
index 18cabf588..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/exception/LibraryException.java
+++ /dev/null
@@ -1,15 +0,0 @@
-package org.ansj.exception;
-
-public class LibraryException extends RuntimeException {
-
-    private static final long serialVersionUID = 1L;
-
-    public LibraryException(Exception e) {
-        super(e);
-    }
-
-    public LibraryException(String message) {
-        super(message);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/AmbiguityLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/AmbiguityLibrary.java
deleted file mode 100644
index 0df8bec55..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/AmbiguityLibrary.java
+++ /dev/null
@@ -1,213 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.domain.KV;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.Value;
-import org.nlpcn.commons.lang.tire.library.Library;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-
-import java.io.BufferedReader;
-import java.util.Arrays;
-import java.util.HashMap;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-public class AmbiguityLibrary {
-
-    private static final Log LOG = MyStaticValue.getLog(AmbiguityLibrary.class);
-
-    // 同义词典
-    private static final Map> AMBIGUITY = new HashMap<>();
-
-    public static final String DEFAULT = "ambiguity";
-
-    static {
-        for (Entry entry : MyStaticValue.ENV.entrySet()) {
-            if (entry.getKey().startsWith(DEFAULT)) {
-                put(entry.getKey(), entry.getValue());
-            }
-        }
-        putIfAbsent(DEFAULT, "library/ambiguity.dic");
-    }
-
-    /**
-     * 获取系统默认词典
-     * 
-     * @return
-     */
-    public static Forest get() {
-        if (!AMBIGUITY.containsKey(DEFAULT)) {
-            return null;
-        }
-        return get(DEFAULT);
-    }
-
-    /**
-     * 根据key获取
-     * 
-     */
-    public static Forest get(String key) {
-
-        KV kv = AMBIGUITY.get(key);
-
-        if (kv == null) {
-            if (MyStaticValue.ENV.containsKey(key)) {
-                putIfAbsent(key, MyStaticValue.ENV.get(key));
-                return get(key);
-            }
-
-            LOG.warn("crf " + key + " not found in config ");
-            return null;
-        }
-
-        Forest sw = kv.getV();
-        if (sw == null) {
-            try {
-                sw = init(key, kv, false);
-            } catch (Exception e) {
-            }
-        }
-        return sw;
-    }
-
-    /**
-     * 加载
-     * 
-     * @return
-     */
-    private static synchronized Forest init(String key, KV kv, boolean reload) {
-        Forest forest = kv.getV();
-        if (forest != null) {
-            if (reload) {
-                forest.clear();
-            } else {
-                return forest;
-            }
-        } else {
-            forest = new Forest();
-        }
-        try (BufferedReader br = IOUtil.getReader(PathToStream.stream(kv.getK()), "utf-8")) {
-            String temp;
-            LOG.debug("begin init ambiguity");
-            long start = System.currentTimeMillis();
-            while ((temp = br.readLine()) != null) {
-                if (StringUtil.isNotBlank(temp)) {
-                    temp = StringUtil.trim(temp);
-                    String[] split = temp.split("\t");
-                    StringBuilder sb = new StringBuilder();
-                    if (split.length % 2 != 0) {
-                        LOG.error("init ambiguity  error in line :" + temp + " format err !");
-                        continue;
-                    }
-                    for (int i = 0; i < split.length; i += 2) {
-                        sb.append(split[i]);
-                    }
-                    forest.addBranch(sb.toString(), split);
-                }
-            }
-            LOG.info("load dic use time:" + (System.currentTimeMillis() - start) + " path is : " + kv.getK());
-            kv.setV(forest);
-            return forest;
-        } catch (Exception e) {
-            LOG.error("Init ambiguity library error :" + e.getMessage() + ", path: " + kv.getK());
-            AMBIGUITY.remove(key);
-            return null;
-        }
-    }
-
-    /**
-     * 插入到树中呀
-     * 
-     * @param key
-     * @param split
-     * @return
-     */
-    public static void insert(String key, String... split) {
-        Forest forest = get(key);
-        StringBuilder sb = new StringBuilder();
-        if (split.length % 2 != 0) {
-            LOG.error("init ambiguity  error in line :" + Arrays.toString(split) + " format err !");
-            return;
-        }
-        for (int i = 0; i < split.length; i += 2) {
-            sb.append(split[i]);
-        }
-        forest.addBranch(sb.toString(), split);
-    }
-
-    /**
-     * 插入到树种
-     * 
-     * @param key
-     * @param value
-     */
-    public static void insert(String key, Value value) {
-        Forest forest = get(key);
-        Library.insertWord(forest, value);
-    }
-
-    /**
-     * 动态添加
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static void put(String key, String path) {
-        put(key, path, null);
-    }
-
-    public static void put(String key, String path, Forest value) {
-        AMBIGUITY.put(key, KV.with(path, value));
-        MyStaticValue.ENV.put(key, path);
-    }
-
-    /**
-     * 删除一个key
-     * 
-     * @param key
-     * @return
-     */
-    public static KV remove(String key) {
-        KV kv = AMBIGUITY.get(key);
-        if (kv != null && kv.getV() != null) {
-            kv.getV().clear();
-        }
-        MyStaticValue.ENV.remove(key);
-        return AMBIGUITY.remove(key);
-    }
-
-    /**
-     * 刷新一个,将值设置为null
-     * 
-     * @param key
-     * @return
-     */
-    public static void reload(String key) {
-        if (!MyStaticValue.ENV.containsKey(key)) { //如果变量中不存在直接删掉这个key不解释了
-            remove(key);
-        }
-
-        putIfAbsent(key, MyStaticValue.ENV.get(key));
-
-        KV kv = AMBIGUITY.get(key);
-
-        init(key, kv, true);
-    }
-
-    public static Set keys() {
-        return AMBIGUITY.keySet();
-    }
-
-    public static void putIfAbsent(String key, String path) {
-        if (!AMBIGUITY.containsKey(key)) {
-            AMBIGUITY.put(key, KV.with(path, (Forest) null));
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/CrfLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/CrfLibrary.java
deleted file mode 100644
index 8079799a1..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/CrfLibrary.java
+++ /dev/null
@@ -1,143 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.app.crf.Model;
-import org.ansj.app.crf.SplitWord;
-import org.ansj.app.crf.model.CRFModel;
-import org.ansj.dic.PathToStream;
-import org.ansj.domain.KV;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.util.logging.Log;
-
-import java.io.InputStream;
-import java.util.HashMap;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-public class CrfLibrary {
-
-    private static final Log LOG = MyStaticValue.getLog(CrfLibrary.class);
-
-    // CRF模型
-    private static final Map> CRF = new HashMap<>();
-
-    public static final String DEFAULT = "crf";
-
-    static {
-        for (Entry entry : MyStaticValue.ENV.entrySet()) {
-            if (entry.getKey().startsWith(DEFAULT)) {
-                put(entry.getKey(), entry.getValue());
-            }
-        }
-        putIfAbsent(DEFAULT, "jar://crf.model");
-    }
-
-    public static SplitWord get() {
-        return get(DEFAULT);
-    }
-
-    /**
-     * 根据key获取crf分词器
-     * 
-     * @param key
-     * @return crf分词器
-     */
-    public static SplitWord get(String key) {
-
-        KV kv = CRF.get(key);
-
-        if (kv == null) {
-            if (MyStaticValue.ENV.containsKey(key)) {
-                putIfAbsent(key, MyStaticValue.ENV.get(key));
-                return get(key);
-            }
-            LOG.warn("crf " + key + " not found in config ");
-            return null;
-        }
-
-        SplitWord sw = kv.getV();
-        if (sw == null) {
-            sw = initCRFModel(kv);
-        }
-        return sw;
-    }
-
-    /**
-     * 加载CRF模型
-     * 
-     * @param modelPath
-     * @return
-     */
-    private static synchronized SplitWord initCRFModel(KV kv) {
-        try {
-            if (kv.getV() != null) {
-                return kv.getV();
-            }
-
-            long start = System.currentTimeMillis();
-            LOG.debug("begin init crf model!");
-            try (InputStream is = PathToStream.stream(kv.getK())) {
-                SplitWord crfSplitWord = new SplitWord(Model.load(CRFModel.class, is));
-                kv.setV(crfSplitWord);
-                LOG.info("load crf use time:" + (System.currentTimeMillis() - start) + " path is : " + kv.getK());
-                return crfSplitWord;
-            }
-        } catch (Exception e) {
-            LOG.error(kv + " load err " + e.getMessage());
-            return null;
-        }
-    }
-
-    /**
-     * 动态添加
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static void put(String key, String path) {
-
-        put(key, path, null);
-    }
-
-    public static void put(String key, String path, SplitWord sw) {
-        CRF.put(key, KV.with(path, sw));
-        MyStaticValue.ENV.put(key, path);
-    }
-
-    /**
-     * 删除一个key
-     * 
-     * @param key
-     * @return
-     */
-    public static KV remove(String key) {
-        MyStaticValue.ENV.remove(key);
-        return CRF.remove(key);
-    }
-
-    /**
-     * 刷新一个,将值设置为null
-     * 
-     * @param key
-     * @return
-     */
-    public static void reload(String key) {
-        KV kv = CRF.get(key);
-        if (kv != null) {
-            CRF.get(key).setV(null);
-        }
-
-        LOG.warn("make sure ,this reload not use same obj , it to instance a new model");
-    }
-
-    public static Set keys() {
-        return CRF.keySet();
-    }
-
-    public static void putIfAbsent(String key, String path) {
-        if (!CRF.containsKey(key)) {
-            CRF.put(key, KV.with(path, (SplitWord) null));
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/DATDictionary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/DATDictionary.java
deleted file mode 100644
index 2efb796f9..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/DATDictionary.java
+++ /dev/null
@@ -1,147 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.dic.DicReader;
-import org.ansj.domain.AnsjItem;
-import org.ansj.domain.PersonNatureAttr;
-import org.ansj.domain.TermNature;
-import org.ansj.domain.TermNatures;
-import org.ansj.library.name.PersonAttrLibrary;
-import org.nlpcn.commons.lang.dat.DoubleArrayTire;
-import org.nlpcn.commons.lang.dat.Item;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.IOException;
-import java.util.HashMap;
-import java.util.Map.Entry;
-import java.util.Set;
-
-public class DATDictionary {
-
-    private static final Log LOG = LogFactory.getLog(DATDictionary.class);
-
-    /**
-     * 核心词典
-     */
-    private static final DoubleArrayTire DAT = loadDAT();
-
-    /**
-     * 数组长度
-     */
-    public static int arrayLength = DAT.arrayLength;
-
-    /**
-     * 加载词典
-     * 
-     * @return
-     */
-    private static DoubleArrayTire loadDAT() {
-        long start = System.currentTimeMillis();
-        try {
-            DoubleArrayTire dat = DoubleArrayTire.loadText(DicReader.getInputStream("core.dic"), AnsjItem.class);
-            // 人名识别必备的
-            personNameFull(dat);
-            // 记录词典中的词语，并且清除部分数据
-            for (Item item : dat.getDAT()) {
-                if (item == null || item.getName() == null) {
-                    continue;
-                }
-                if (item.getStatus() < 2) {
-                    item.setName(null);
-                    continue;
-                }
-            }
-            LOG.info("init core library ok use time : " + (System.currentTimeMillis() - start));
-            return dat;
-        } catch (InstantiationException e) {
-            LOG.warn("无法实例化", e);
-        } catch (IllegalAccessException e) {
-            LOG.warn("非法访问", e);
-        } catch (NumberFormatException e) {
-            LOG.warn("数字格式异常", e);
-        } catch (IOException e) {
-            LOG.warn("IO异常", e);
-        }
-
-        return null;
-    }
-
-    private static void personNameFull(DoubleArrayTire dat) throws NumberFormatException, IOException {
-        HashMap personMap = new PersonAttrLibrary().getPersonMap();
-
-        AnsjItem ansjItem = null;
-        // 人名词性补录
-        Set> entrySet = personMap.entrySet();
-        char c = 0;
-        String temp = null;
-        for (Entry entry : entrySet) {
-            temp = entry.getKey();
-
-            if (temp.length() == 1 && (ansjItem = (AnsjItem) dat.getDAT()[temp.charAt(0)]) == null) {
-                ansjItem = new AnsjItem();
-                ansjItem.setBase(c);
-                ansjItem.setCheck(-1);
-                ansjItem.setStatus((byte) 3);
-                ansjItem.setName(temp);
-                dat.getDAT()[temp.charAt(0)] = ansjItem;
-            } else {
-                ansjItem = dat.getItem(temp);
-            }
-
-            if (ansjItem == null) {
-                continue;
-            }
-
-            if ((ansjItem.termNatures) == null) {
-                if (temp.length() == 1 && temp.charAt(0) < 256) {
-                    ansjItem.termNatures = TermNatures.NULL;
-                } else {
-                    ansjItem.termNatures = new TermNatures(TermNature.NR);
-                }
-            }
-            ansjItem.termNatures.setPersonNatureAttr(entry.getValue());
-        }
-    }
-
-    public static int status(char c) {
-        Item item = DAT.getDAT()[c];
-        if (item == null) {
-            return 0;
-        }
-        return item.getStatus();
-    }
-
-    /**
-     * 判断一个词语是否在词典中
-     * 
-     * @param word
-     * @return
-     */
-    public static boolean isInSystemDic(String word) {
-        Item item = DAT.getItem(word);
-        return item != null && item.getStatus() > 1;
-    }
-
-    public static AnsjItem getItem(int index) {
-        AnsjItem item = DAT.getItem(index);
-        if (item == null) {
-            return AnsjItem.NULL;
-        }
-
-        return item;
-    }
-
-    public static AnsjItem getItem(String str) {
-        AnsjItem item = DAT.getItem(str);
-        if (item == null || item.getStatus() < 2) {
-            return AnsjItem.NULL;
-        }
-
-        return item;
-    }
-
-    public static int getId(String str) {
-        return DAT.getId(str);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/DicLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/DicLibrary.java
deleted file mode 100644
index adda9b21a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/DicLibrary.java
+++ /dev/null
@@ -1,289 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.domain.KV;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.Value;
-import org.nlpcn.commons.lang.tire.library.Library;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.util.Collection;
-import java.util.HashMap;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-public class DicLibrary {
-
-    private static final Log LOG = LogFactory.getLog();
-
-    public static final String DEFAULT = "dic";
-
-    public static final String DEFAULT_NATURE = "userDefine";
-
-    public static final Integer DEFAULT_FREQ = 1000;
-
-    public static final String DEFAULT_FREQ_STR = "1000";
-
-    // 用户自定义词典
-    private static final Map> DIC = new HashMap<>();
-
-    static {
-        for (Entry entry : MyStaticValue.ENV.entrySet()) {
-            if (entry.getKey().startsWith(DEFAULT)) {
-                put(entry.getKey(), entry.getValue());
-            }
-        }
-        putIfAbsent(DEFAULT, "library/default.dic");
-
-        Forest forest = get();
-        if (forest == null) {
-            put(DEFAULT, DEFAULT, new Forest());
-        }
-
-    }
-
-    /**
-     * 关键词增加
-     *
-     * @param keyword 所要增加的关键词
-     * @param nature 关键词的词性
-     * @param freq 关键词的词频
-     */
-    public static void insert(String key, String keyword, String nature, int freq) {
-        Forest dic = get(key);
-        String[] paramers = new String[2];
-        paramers[0] = nature;
-        paramers[1] = String.valueOf(freq);
-        Value value = new Value(keyword, paramers);
-        Library.insertWord(dic, value);
-    }
-
-    /**
-     * 增加关键词
-     *
-     * @param keyword
-     */
-    public static void insert(String key, String keyword) {
-
-        insert(key, keyword, DEFAULT_NATURE, DEFAULT_FREQ);
-    }
-
-    /**
-     * 删除关键词
-     */
-    public static void delete(String key, String word) {
-
-        Forest dic = get(key);
-        if (dic != null) {
-            Library.removeWord(dic, word);
-        }
-    }
-
-    /**
-     * 将用户自定义词典清空
-     */
-    public static void clear(String key) {
-        get(key).clear();
-    }
-
-    public static Forest get() {
-        if (!DIC.containsKey(DEFAULT)) {
-            return null;
-        }
-        return get(DEFAULT);
-    }
-
-    /**
-     * 根据模型名称获取crf模型
-     * 
-     * @param modelName
-     * @return
-     */
-    public static Forest get(String key) {
-
-        KV kv = DIC.get(key);
-
-        if (kv == null) {
-            if (MyStaticValue.ENV.containsKey(key)) {
-                putIfAbsent(key, MyStaticValue.ENV.get(key));
-                return get(key);
-            }
-            LOG.warn("dic " + key + " not found in config ");
-            return null;
-        }
-        Forest forest = kv.getV();
-        if (forest == null) {
-            forest = init(key, kv, false);
-        }
-        return forest;
-
-    }
-
-    /**
-     * 根据keys获取词典集合
-     * 
-     * @param keys
-     * @return
-     */
-    public static Forest[] gets(String... keys) {
-        Forest[] forests = new Forest[keys.length];
-        for (int i = 0; i < forests.length; i++) {
-            forests[i] = get(keys[i]);
-        }
-        return forests;
-    }
-
-    /**
-     * 根据keys获取词典集合
-     * 
-     * @param keys
-     * @return
-     */
-    public static Forest[] gets(Collection keys) {
-        return gets(keys.toArray(new String[keys.size()]));
-    }
-
-    /**
-     * 用户自定义词典加载
-     * 
-     * @param key
-     * @param path
-     * @return
-     */
-
-    private synchronized static Forest init(String key, KV kv, boolean reload) {
-        Forest forest = kv.getV();
-        if (forest != null) {
-            if (reload) {
-                forest.clear();
-            } else {
-                return forest;
-            }
-        } else {
-            forest = new Forest();
-        }
-        try {
-
-            LOG.debug("begin init dic !");
-            long start = System.currentTimeMillis();
-            String temp = null;
-            String[] strs = null;
-            Value value = null;
-            try (BufferedReader br = IOUtil.getReader(PathToStream.stream(kv.getK()), "UTF-8")) {
-                while ((temp = br.readLine()) != null) {
-                    if (StringUtil.isNotBlank(temp)) {
-                        temp = StringUtil.trim(temp);
-                        strs = temp.split("\t");
-                        strs[0] = strs[0].toLowerCase();
-                        // 如何核心辞典存在那么就放弃
-                        if (MyStaticValue.isSkipUserDefine && DATDictionary.getId(strs[0]) > 0) {
-                            continue;
-                        }
-                        if (strs.length != 3) {
-                            value = new Value(strs[0], DEFAULT_NATURE, DEFAULT_FREQ_STR);
-                        } else {
-                            value = new Value(strs[0], strs[1], strs[2]);
-                        }
-                        Library.insertWord(forest, value);
-                    }
-                }
-            }
-            LOG.info("load dic use time:" + (System.currentTimeMillis() - start) + " path is : " + kv.getK());
-            kv.setV(forest);
-            return forest;
-        } catch (Exception e) {
-            LOG.error("Init dic library error :" + e.getMessage() + ", path: " + kv.getK());
-            DIC.remove(key);
-            return null;
-        }
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static void put(String key, String path, Forest forest) {
-        DIC.put(key, KV.with(path, forest));
-        MyStaticValue.ENV.put(key, path);
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static void putIfAbsent(String key, String path) {
-
-        if (!DIC.containsKey(key)) {
-            DIC.put(key, KV.with(path, (Forest) null));
-        }
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static void put(String key, String path) {
-        put(key, path, null);
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param 
-     * @param 
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static synchronized Forest putIfAbsent(String key, String path, Forest forest) {
-
-        KV kv = DIC.get(key);
-        if (kv != null && kv.getV() != null) {
-            return kv.getV();
-        }
-        put(key, path, forest);
-        return forest;
-    }
-
-    public static KV remove(String key) {
-        KV kv = DIC.get(key);
-        if (kv != null && kv.getV() != null) {
-            kv.getV().clear();
-        }
-        MyStaticValue.ENV.remove(key);
-        return DIC.remove(key);
-    }
-
-    public static Set keys() {
-        return DIC.keySet();
-    }
-
-    public static void reload(String key) {
-        if (!MyStaticValue.ENV.containsKey(key)) { //如果变量中不存在直接删掉这个key不解释了
-            remove(key);
-        }
-
-        putIfAbsent(key, MyStaticValue.ENV.get(key));
-
-        KV kv = DIC.get(key);
-
-        init(key, kv, true);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/NatureLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/NatureLibrary.java
deleted file mode 100644
index 3dfe471fc..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/NatureLibrary.java
+++ /dev/null
@@ -1,130 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.Term;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.util.HashMap;
-
-/**
- * 这里封装了词性和词性之间的关系.以及词性的索引.这是个好东西. 里面数组是从ict里面找来的. 不是很新.没有语料无法训练
- * 
- * @author ansj
- * 
- */
-public class NatureLibrary {
-
-    private static final Log logger = LogFactory.getLog(NatureLibrary.class);
-
-    private static final int YI = 1;
-    private static final int FYI = -1;
-    /**
-     * 词性的字符串对照索引位的hashmap(我发现我又效率狂了.不能这样啊)
-     */
-    private static final HashMap NATUREMAP = new HashMap<>();
-
-    /**
-     * 词与词之间的关系.对照natureARRAY,natureMap
-     */
-    private static int[][] NATURETABLE = null;
-
-    /**
-     * 初始化对照表
-     */
-    static {
-        init();
-    }
-
-    private static void init() {
-        String split = "\t";
-        int maxLength = 0;
-        String temp = null;
-        String[] strs = null;
-        // 加载词对照性表
-        try (BufferedReader reader = MyStaticValue.getNatureMapReader()) {
-            int p0 = 0;
-            int p1 = 0;
-            int p2 = 0;
-            while ((temp = reader.readLine()) != null) {
-                strs = temp.split(split);
-                if (strs.length != 4)
-                    continue;
-
-                p0 = Integer.parseInt(strs[0]);
-                p1 = Integer.parseInt(strs[1]);
-                p2 = Integer.parseInt(strs[3]);
-                NATUREMAP.put(strs[2], new Nature(strs[2], p0, p1, p2));
-                maxLength = Math.max(maxLength, p1);
-            }
-        } catch (IOException e) {
-            logger.warn("词性列表加载失败!", e);
-        }
-        // 加载词性关系
-        try (BufferedReader reader = MyStaticValue.getNatureTableReader()) {
-            NATURETABLE = new int[maxLength + 1][maxLength + 1];
-            int j = 0;
-            while ((temp = reader.readLine()) != null) {
-                if (StringUtil.isBlank(temp))
-                    continue;
-                strs = temp.split(split);
-                for (int i = 0; i < strs.length; i++) {
-                    NATURETABLE[j][i] = Integer.parseInt(strs[i]);
-                }
-                j++;
-            }
-        } catch (IOException e) {
-            logger.warn("加载词性关系失败!", e);
-        }
-    }
-
-    /**
-     * 获得两个词性之间的频率
-     * 
-     * @param from
-     * @param to
-     * @return
-     */
-    public static int getTwoNatureFreq(Nature from, Nature to) {
-        if (from.index < 0 || to.index < 0) {
-            return 0;
-        }
-        return NATURETABLE[from.index][to.index];
-    }
-
-    /**
-     * 获得两个term之间的频率
-     * 
-     * @param fromTerm
-     * @param toTerm
-     * @return
-     */
-    public static int getTwoTermFreq(Term fromTerm, Term toTerm) {
-        Nature from = fromTerm.natrue();
-        Nature to = toTerm.natrue();
-        if (from.index < 0 || to.index < 0) {
-            return 0;
-        }
-        return NATURETABLE[from.index][to.index];
-    }
-
-    /**
-     * 根据字符串得道词性.没有就创建一个
-     * 
-     * @param natureStr
-     * @return
-     */
-    public static Nature getNature(String natureStr) {
-        Nature nature = NATUREMAP.get(natureStr);
-        if (nature == null) {
-            nature = new Nature(natureStr, FYI, FYI, YI);
-            NATUREMAP.put(natureStr, nature);
-            return nature;
-        }
-        return nature;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/NgramLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/NgramLibrary.java
deleted file mode 100644
index 1d959765b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/NgramLibrary.java
+++ /dev/null
@@ -1,39 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.domain.Term;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-/**
- * 两个词之间的关联
- * 
- * @author ansj
- * 
- */
-public class NgramLibrary {
-    static {
-        long start = System.currentTimeMillis();
-        MyStaticValue.initBigramTables();
-        LogFactory.getLog(NgramLibrary.class).info("init ngram ok use time :" + (System.currentTimeMillis() - start));
-    }
-
-    /**
-     * 查找两个词与词之间的频率
-     * 
-     * @param from
-     * @param to
-     * @return
-     */
-    public static int getTwoWordFreq(Term from, Term to) {
-        if (from.item().bigramEntryMap == null) {
-            return 0;
-        }
-        Integer freq = from.item().bigramEntryMap.get(to.item().getIndex());
-        if (freq == null) {
-            return 0;
-        } else {
-            return freq;
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/StopLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/StopLibrary.java
deleted file mode 100644
index d47b561f1..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/StopLibrary.java
+++ /dev/null
@@ -1,251 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.domain.KV;
-import org.ansj.recognition.impl.StopRecognition;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-public class StopLibrary {
-
-    private static final Log LOG = LogFactory.getLog();
-
-    public static final String DEFAULT = "stop";
-
-    // 用户自定义词典
-    private static final Map> STOP = new HashMap<>();
-
-    static {
-        for (Entry entry : MyStaticValue.ENV.entrySet()) {
-            if (entry.getKey().startsWith(DEFAULT)) {
-                put(entry.getKey(), entry.getValue());
-            }
-        }
-        putIfAbsent(DEFAULT, "library/stop.dic");
-    }
-
-    /**
-     * 词性过滤
-     * 
-     * @param key
-     * @param stopNatures
-     */
-    public static void insertStopNatures(String key, String... filterNatures) {
-        StopRecognition fr = get(key);
-        fr.insertStopNatures(filterNatures);
-    }
-
-    /**
-     * 正则过滤
-     * 
-     * @param key
-     * @param regexes
-     */
-    public static void insertStopRegexes(String key, String... regexes) {
-        StopRecognition fr = get(key);
-        fr.insertStopRegexes(regexes);
-    }
-
-    /**
-     * 增加停用词
-     * 
-     * @param key
-     * @param regexes
-     */
-    public static void insertStopWords(String key, String... stopWords) {
-        StopRecognition fr = get(key);
-        fr.insertStopWords(stopWords);
-    }
-
-    /**
-     * 增加停用词
-     * 
-     * @param key
-     * @param regexes
-     */
-    public static void insertStopWords(String key, List stopWords) {
-        StopRecognition fr = get(key);
-        fr.insertStopWords(stopWords);
-    }
-
-    public static StopRecognition get() {
-        return get(DEFAULT);
-    }
-
-    /**
-     * 根据模型名称获取crf模型
-     * 
-     * @param modelName
-     * @return
-     */
-    public static StopRecognition get(String key) {
-        KV kv = STOP.get(key);
-
-        if (kv == null) {
-            if (MyStaticValue.ENV.containsKey(key)) {
-                putIfAbsent(key, MyStaticValue.ENV.get(key));
-                return get(key);
-            }
-            LOG.warn("STOP " + key + " not found in config ");
-            return null;
-        }
-        StopRecognition stopRecognition = kv.getV();
-        if (stopRecognition == null) {
-            stopRecognition = init(key, kv, false);
-        }
-        return stopRecognition;
-
-    }
-
-    /**
-     * 用户自定义词典加载
-     * 
-     * @param key
-     * @param path
-     * @return
-     */
-    private synchronized static StopRecognition init(String key, KV kv, boolean reload) {
-        StopRecognition stopRecognition = kv.getV();
-
-        if (stopRecognition != null) {
-            if (reload) {
-                stopRecognition.clear();
-            } else {
-                return stopRecognition;
-            }
-        } else {
-            stopRecognition = new StopRecognition();
-        }
-
-        try {
-            LOG.debug("begin init FILTER !");
-            long start = System.currentTimeMillis();
-            String temp = null;
-            String[] strs = null;
-            try (BufferedReader br = IOUtil.getReader(PathToStream.stream(kv.getK()), "UTF-8")) {
-                while ((temp = br.readLine()) != null) {
-                    if (StringUtil.isNotBlank(temp)) {
-                        temp = StringUtil.trim(temp);
-                        strs = temp.split("\t");
-
-                        if (strs.length == 1) {
-                            stopRecognition.insertStopWords(strs[0]);
-                        } else {
-                            switch (strs[1]) {
-                                case "nature":
-                                    stopRecognition.insertStopNatures(strs[0]);
-                                    break;
-                                case "regex":
-                                    stopRecognition.insertStopRegexes(strs[0]);
-                                    break;
-                                default:
-                                    stopRecognition.insertStopWords(strs[0]);
-                                    break;
-                            }
-                        }
-
-                    }
-                }
-            }
-            LOG.info("load stop use time:" + (System.currentTimeMillis() - start) + " path is : " + kv.getK());
-            kv.setV(stopRecognition);
-            return stopRecognition;
-        } catch (Exception e) {
-            LOG.error("Init Stop library error :" + e.getMessage() + ", path: " + kv.getK());
-            STOP.remove(key);
-            return null;
-        }
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param FILTERDefault
-     * @param FILTERDefault2
-     * @param FILTER2
-     */
-    public static void put(String key, String path, StopRecognition stopRecognition) {
-        STOP.put(key, KV.with(path, stopRecognition));
-        MyStaticValue.ENV.put(key, path);
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param FILTERDefault
-     * @param FILTERDefault2
-     * @param FILTER2
-     */
-    public static void putIfAbsent(String key, String path) {
-        if (!STOP.containsKey(key)) {
-            STOP.put(key, KV.with(path, (StopRecognition) null));
-        }
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param FILTERDefault
-     * @param FILTERDefault2
-     * @param FILTER2
-     */
-    public static void put(String key, String path) {
-        put(key, path, null);
-    }
-
-    /**
-     * 动态添加词典
-     * 
-     * @param 
-     * @param 
-     * 
-     * @param FILTERDefault
-     * @param FILTERDefault2
-     * @param FILTER2
-     */
-    public static synchronized StopRecognition putIfAbsent(String key, String path, StopRecognition stopRecognition) {
-        KV kv = STOP.get(key);
-        if (kv != null && kv.getV() != null) {
-            return kv.getV();
-        }
-        put(key, path, stopRecognition);
-        return stopRecognition;
-    }
-
-    public static KV remove(String key) {
-        KV kv = STOP.get(key);
-        if (kv != null && kv.getV() != null) {
-            kv.getV().clear();
-        }
-        MyStaticValue.ENV.remove(key);
-        return STOP.remove(key);
-    }
-
-    public static Set keys() {
-        return STOP.keySet();
-    }
-
-    public static void reload(String key) {
-
-        if (!MyStaticValue.ENV.containsKey(key)) { //如果变量中不存在直接删掉这个key不解释了
-            remove(key);
-        }
-
-        putIfAbsent(key, MyStaticValue.ENV.get(key));
-
-        KV kv = STOP.get(key);
-
-        init(key, kv, true);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/SynonymsLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/SynonymsLibrary.java
deleted file mode 100644
index 12790243a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/SynonymsLibrary.java
+++ /dev/null
@@ -1,292 +0,0 @@
-package org.ansj.library;
-
-import org.ansj.dic.PathToStream;
-import org.ansj.domain.KV;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-
-import java.io.BufferedReader;
-import java.util.*;
-import java.util.Map.Entry;
-
-public class SynonymsLibrary {
-
-    private static final Log LOG = MyStaticValue.getLog(SynonymsLibrary.class);
-
-    // 同义词典
-    private static final Map>>> SYNONYMS = new HashMap<>();
-
-    public static final String DEFAULT = "synonyms";
-
-    static {
-        for (Entry entry : MyStaticValue.ENV.entrySet()) {
-            if (entry.getKey().startsWith(DEFAULT)) {
-                put(entry.getKey(), entry.getValue());
-            }
-        }
-        putIfAbsent(DEFAULT, "library/synonyms.dic");
-    }
-
-    public static SmartForest> get() {
-        return get(DEFAULT);
-    }
-
-    /**
-     */
-    public static SmartForest> get(String key) {
-        KV>> kv = SYNONYMS.get(key);
-
-        if (kv == null) {
-            if (MyStaticValue.ENV.containsKey(key)) {
-                putIfAbsent(key, MyStaticValue.ENV.get(key));
-                return get(key);
-            }
-            LOG.warn("crf " + key + " not found in config ");
-            return null;
-        }
-
-        SmartForest> sw = kv.getV();
-        if (sw == null) {
-            sw = init(key, kv, false);
-        }
-        return sw;
-    }
-
-    /**
-     * 加载词典
-     * 
-     * @param key
-     * @param kv
-     * @param reload 是否更新词典
-     * @return
-     */
-    private static synchronized SmartForest> init(String key, KV>> kv,
-                    boolean reload) {
-
-        SmartForest> forest = kv.getV();
-
-        if (forest != null) {
-            if (reload) {
-                forest.clear();
-            } else {
-                return forest;
-            }
-        } else {
-            forest = new SmartForest<>();
-        }
-
-        LOG.debug("begin init synonyms " + kv.getK());
-        long start = System.currentTimeMillis();
-
-        try (BufferedReader reader = IOUtil.getReader(PathToStream.stream(kv.getK()), IOUtil.UTF8)) {
-            String temp = null;
-            while ((temp = reader.readLine()) != null) {
-                if (StringUtil.isBlank(temp)) {
-                    continue;
-                }
-                String[] split = temp.split("\t");
-
-                List list = new ArrayList<>();
-                for (String word : split) {
-                    if (StringUtil.isBlank(word)) {
-                        continue;
-                    }
-                    list.add(word);
-                }
-
-                if (split.length <= 1) {
-                    LOG.warn(temp + " in synonymsLibrary not in to library !");
-                    continue;
-                }
-
-                for (int i = 0; i < split.length; i++) {
-                    forest.add(split[i], list);
-                }
-            }
-            kv.setV(forest);
-            LOG.info("load synonyms use time:" + (System.currentTimeMillis() - start) + " path is : " + kv.getK());
-            return forest;
-        } catch (Exception e) {
-            LOG.error("Init synonyms library error :" + e.getMessage() + ", path: " + kv.getK());
-            SYNONYMS.remove(key);
-            return null;
-        }
-    }
-
-    /**
-     * 动态添加
-     * 
-     * @param dicDefault
-     * @param dicDefault2
-     * @param dic2
-     */
-    public static void put(String key, String path) {
-        put(key, path, null);
-    }
-
-    public static void put(String key, String path, SmartForest> value) {
-        SYNONYMS.put(key, KV.with(path, value));
-        MyStaticValue.ENV.put(key, path);
-    }
-
-    /**
-     * 删除一个key
-     * 
-     * @param key
-     * @return
-     */
-    public static KV>> remove(String key) {
-        KV>> kv = SYNONYMS.get(key);
-        if (kv != null && kv.getV() != null) { //先清空后删除
-            kv.getV().clear();
-        }
-        MyStaticValue.ENV.remove(key);
-        return SYNONYMS.remove(key);
-    }
-
-    /**
-     * 刷新一个,将值设置为null
-     * 
-     * @param key
-     * @return
-     */
-    public static void reload(String key) {
-
-        if (!MyStaticValue.ENV.containsKey(key)) { //如果变量中不存在直接删掉这个key不解释了
-            remove(key);
-        }
-
-        putIfAbsent(key, MyStaticValue.ENV.get(key));
-
-        KV>> kv = SYNONYMS.get(key);
-
-        init(key, kv, true);
-    }
-
-    public static Set keys() {
-        return SYNONYMS.keySet();
-    }
-
-    public static void putIfAbsent(String key, String path) {
-        if (!SYNONYMS.containsKey(key)) {
-            SYNONYMS.put(key, KV.with(path, (SmartForest>) null));
-        }
-    }
-
-    /**
-     * 覆盖更新同义词 [中国, 中华, 我国] -> replace([中国,华夏]) -> [中国,华夏]
-     * 
-     * @param words
-     */
-    public static void insert(String key, String[] words) {
-        SmartForest> synonyms = get(key);
-
-        List list = new ArrayList<>();
-
-        for (String word : words) {
-            if (StringUtil.isBlank(word)) {
-                continue;
-            }
-            list.add(word);
-        }
-
-        if (list.size() <= 1) {
-            LOG.warn(Arrays.toString(words) + " not have any change because it less than 2 word");
-            return;
-        }
-
-        Set set = findAllWords(key, words);
-
-        for (String word : list) {
-            set.remove(word);
-            synonyms.add(word, list);
-        }
-
-        for (String word : set) { //删除所有
-            synonyms.remove(word);
-            synonyms.getBranch(word).setParam(null);
-        }
-
-    }
-
-    private static Set findAllWords(String key, String[] words) {
-
-        SmartForest> synonyms = get(key);
-
-        Set set = new HashSet<>();
-        for (String word : words) {
-            SmartForest> branch = synonyms.getBranch(word);
-            if (branch != null) {
-                List params = branch.getParam();
-                if (params != null) {
-                    set.addAll(params);
-                }
-            }
-        }
-        return set;
-    }
-
-    /**
-     * 合并更新同义词 覆盖更新同义词 [中国, 中华, 我国] -> append([中国,华夏]) -> [中国, 中华, 我国 , 华夏]
-     * 
-     * @param words
-     */
-    public static void append(String key, String[] words) {
-
-        SmartForest> synonyms = get(key);
-
-        Set set = new HashSet<>();
-
-        for (String word : words) {
-            if (StringUtil.isBlank(word)) {
-                continue;
-            }
-            set.add(word);
-        }
-
-        if (set.size() <= 1) {
-            LOG.warn(Arrays.toString(words) + " not have any change because it less than 2 word");
-            return;
-        }
-
-        set.addAll(findAllWords(key, words));
-
-        List list = new ArrayList<>(set);
-
-        for (String word : list) {
-            synonyms.addBranch(word, list);
-        }
-    }
-
-    /**
-     * 从同义词组中删除掉一个词 [中国, 中华, 我国] -> remove(我国) -> [中国, 中华]
-     * 
-     * @param words
-     */
-    public static void remove(String key, String word) {
-
-        SmartForest> synonyms = get(key);
-
-        SmartForest> branch = synonyms.getBranch(word);
-
-        if (branch == null || branch.getStatus() < 2) {
-            return;
-        }
-
-        List params = branch.getParam();
-
-        synonyms.remove(word);
-        branch.setParam(null);
-        params.remove(word);
-
-        if (params.size() == 1) { //如果是1 个也删除
-            synonyms.remove(params.get(0));
-            params.remove(0);
-        } else {
-            params.remove(word);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/company/CompanyAttrLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/company/CompanyAttrLibrary.java
deleted file mode 100644
index 52575dd2a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/company/CompanyAttrLibrary.java
+++ /dev/null
@@ -1,53 +0,0 @@
-package org.ansj.library.company;
-
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.util.HashMap;
-
-/**
- * 机构名识别词典加载类
- * 
- * @author ansj
- * 
- */
-public class CompanyAttrLibrary {
-
-    private static final Log logger = LogFactory.getLog();
-
-    private static HashMap cnMap = null;
-
-    private CompanyAttrLibrary() {}
-
-    public static HashMap getCompanyMap() {
-        if (cnMap != null) {
-            return cnMap;
-        }
-        init();
-        return cnMap;
-    }
-
-    // company_freq
-
-    private static void init() {
-        try (BufferedReader br = MyStaticValue.getCompanReader()) {
-            cnMap = new HashMap<>();
-            String temp = null;
-            String[] strs = null;
-            int[] cna = null;
-            while ((temp = br.readLine()) != null) {
-                strs = temp.split("\t");
-                cna = new int[2];
-                cna[0] = Integer.parseInt(strs[1]);
-                cna[1] = Integer.parseInt(strs[2]);
-                cnMap.put(strs[0], cna);
-            }
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/name/PersonAttrLibrary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/name/PersonAttrLibrary.java
deleted file mode 100644
index 6d5c219ab..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/library/name/PersonAttrLibrary.java
+++ /dev/null
@@ -1,79 +0,0 @@
-package org.ansj.library.name;
-
-import org.ansj.domain.PersonNatureAttr;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.util.HashMap;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-/**
- * 人名标注所用的词典就是简单的hashmap简单方便谁用谁知道,只在加载词典的时候用
- * 
- * @author ansj
- */
-
-public class PersonAttrLibrary {
-
-    private static final Log logger = LogFactory.getLog();
-
-    private HashMap pnMap = null;
-
-    public PersonAttrLibrary() {}
-
-    public HashMap getPersonMap() {
-        if (pnMap != null) {
-            return pnMap;
-        }
-        init1();
-        init2();
-        return pnMap;
-    }
-
-    // name_freq
-    private void init2() {
-        Map personFreqMap = MyStaticValue.getPersonFreqMap();
-        Set> entrySet = personFreqMap.entrySet();
-        PersonNatureAttr pna = null;
-        for (Entry entry : entrySet) {
-            pna = pnMap.get(entry.getKey());
-            if (pna == null) {
-                pna = new PersonNatureAttr();
-                pna.setlocFreq(entry.getValue());
-                pnMap.put(entry.getKey(), pna);
-            } else {
-                pna.setlocFreq(entry.getValue());
-            }
-
-        }
-    }
-
-    // person.dic
-    private void init1() {
-        try (BufferedReader br = MyStaticValue.getPersonReader()) {
-            pnMap = new HashMap<>();
-            String temp = null;
-            String[] strs = null;
-            PersonNatureAttr pna = null;
-            while ((temp = br.readLine()) != null) {
-                pna = new PersonNatureAttr();
-                strs = temp.split("\t");
-                pna = pnMap.get(strs[0]);
-                if (pna == null) {
-                    pna = new PersonNatureAttr();
-                }
-                pna.addFreq(Integer.parseInt(strs[1]), Integer.parseInt(strs[2]));
-                pnMap.put(strs[0], pna);
-            }
-        } catch (NumberFormatException e) {
-            logger.warn("数字格式不正确", e);
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/Recognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/Recognition.java
deleted file mode 100644
index 2fdfd77db..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/Recognition.java
+++ /dev/null
@@ -1,15 +0,0 @@
-package org.ansj.recognition;
-
-import org.ansj.domain.Result;
-
-import java.io.Serializable;
-
-/**
- * 词语结果识别接口,用来通过规则方式识别词语,对结果的二次加工
- * 
- * @author Ansj
- *
- */
-public interface Recognition extends Serializable {
-    public void recognition(Result result);
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/TermArrRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/TermArrRecognition.java
deleted file mode 100644
index 5112b3326..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/TermArrRecognition.java
+++ /dev/null
@@ -1,13 +0,0 @@
-package org.ansj.recognition;
-
-import org.ansj.domain.Term;
-
-/**
- * 词语识别接口,用来识别词语
- * 
- * @author Ansj
- *
- */
-public interface TermArrRecognition {
-    public void recognition(Term[] terms);
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/AsianPersonRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/AsianPersonRecognition.java
deleted file mode 100644
index e3a334321..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/AsianPersonRecognition.java
+++ /dev/null
@@ -1,177 +0,0 @@
-package org.ansj.recognition.arrimpl;
-
-import org.ansj.domain.*;
-import org.ansj.library.NgramLibrary;
-import org.ansj.recognition.TermArrRecognition;
-import org.ansj.util.TermUtil;
-import org.ansj.util.TermUtil.InsertTermType;
-
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * 人名识别工具类
- * 
- * @author ansj
- * 
- */
-public class AsianPersonRecognition implements TermArrRecognition {
-    private static final double[] FACTORY = {0.16271366224044456, 0.8060521860870434, 0.031234151672511947};
-    private boolean skip = false;
-    private Term[] terms;
-
-    // 名称是否有歧异
-    // public int B = -1;//0 姓氏
-    // public int C = -1;//1 双名的首字
-    // public int D = -1;//2 双名的末字
-    // public int E = -1;//3 单名
-    // public int N = -1; //4任意字
-    // public int L = -1;//11 人名的下文
-    // public int M = -1;//12 两个中国人名之间的成分
-    // public int m = -1;//44 可拆分的姓名
-    // double[] factory = {"BC", "BCD", "BCDE"}
-
-    @Override
-    public void recognition(Term[] terms) {
-        this.terms = terms;
-        List termList = recogntion_();
-        for (Term term2 : termList) {
-            TermUtil.insertTerm(terms, term2, InsertTermType.SCORE_ADD_SORT);
-        }
-    }
-
-    private List recogntion_() {
-        Term term = null;
-        Term tempTerm = null;
-        List termList = new ArrayList<>();
-        int beginFreq = 10;
-        for (int i = 0; i < terms.length; i++) {
-            term = terms[i];
-            if (term == null || !term.termNatures().personAttr.flag) {
-                continue;
-            }
-            term.score(0);
-            term.selfScore(0);
-            int freq = 0;
-            for (int j = 2; j > -1; j--) {
-                freq = term.termNatures().personAttr.getFreq(j, 0);
-                if ((freq > 10) || (term.getName().length() == 2 && freq > 10)) {
-                    tempTerm = nameFind(i, beginFreq, j);
-                    if (tempTerm != null) {
-                        termList.add(tempTerm);
-                        // 如果是无争议性识别
-                        if (skip) {
-                            for (int j2 = i; j2 < tempTerm.toValue(); j2++) {
-                                if (terms[j2] != null) {
-                                    terms[j2].score(0);
-                                    terms[j2].selfScore(0);
-                                }
-                            }
-                            i = tempTerm.toValue() - 1;
-                            break;
-                        }
-                    }
-                }
-            }
-            beginFreq = term.termNatures().personAttr.begin + 1;
-        }
-        return termList;
-    }
-
-    /**
-     * 人名识别
-     * 
-     * @param term
-     * @param offe
-     * @param freq
-     */
-
-    private Term nameFind(int offe, int beginFreq, int size) {
-        StringBuilder sb = new StringBuilder();
-        int undefinite = 0;
-        skip = false;
-        PersonNatureAttr pna = null;
-        int index = 0;
-        int freq = 0;
-        double allFreq = 0;
-        Term term = null;
-        int i = offe;
-        for (; i < terms.length; i++) {
-            // 走到结尾处识别出来一个名字.
-            if (terms[i] == null) {
-                continue;
-            }
-            term = terms[i];
-            pna = term.termNatures().personAttr;
-            // 在这个长度的这个位置的词频,如果没有可能就干掉,跳出循环
-            if ((freq = pna.getFreq(size, index)) == 0) {
-                return null;
-            }
-
-            if (pna.allFreq > 0) {
-                undefinite++;
-            }
-            sb.append(term.getName());
-            allFreq += Math.log(term.termNatures().allFreq + 1);
-            allFreq += -Math.log((freq));
-            index++;
-
-            if (index == size + 2) {
-                break;
-            }
-        }
-
-        double score = -Math.log(FACTORY[size]);
-        score += allFreq;
-        double endFreq = 0;
-        // 开始寻找结尾词
-        boolean flag = true;
-        while (flag) {
-            i++;
-            if (i >= terms.length) {
-                endFreq = 10;
-                flag = false;
-            } else if (terms[i] != null) {
-                int twoWordFreq = NgramLibrary.getTwoWordFreq(term, terms[i]);
-                if (twoWordFreq > 3) {
-                    return null;
-                }
-                endFreq = terms[i].termNatures().personAttr.end + 1;
-                flag = false;
-            }
-        }
-
-        score -= Math.log(endFreq);
-        score -= Math.log(beginFreq);
-
-        if (score > -3) {
-            return null;
-        }
-
-        if (allFreq > 0 && undefinite > 0) {
-            return null;
-        }
-
-        skip = undefinite == 0;
-        term = new Term(sb.toString(), offe, TermNatures.NR);
-        term.selfScore(score);
-
-        return term;
-
-    }
-
-    public List getNewWords(Term[] terms) {
-        this.terms = terms;
-        List all = new ArrayList<>();
-        List termList = recogntion_();
-        for (Term term2 : termList) {
-            all.add(new NewWord(term2.getName(), Nature.NR));
-        }
-        return all;
-    }
-
-    public List getNewTerms() {
-        return recogntion_();
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/ForeignPersonRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/ForeignPersonRecognition.java
deleted file mode 100644
index 2f256dacf..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/ForeignPersonRecognition.java
+++ /dev/null
@@ -1,228 +0,0 @@
-package org.ansj.recognition.arrimpl;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.NewWord;
-import org.ansj.domain.Term;
-import org.ansj.domain.TermNatures;
-import org.ansj.recognition.TermArrRecognition;
-import org.ansj.util.TermUtil;
-import org.nlpcn.commons.lang.util.StringUtil;
-
-import java.util.*;
-
-/**
- * 外国人名识别
- * 
- * @author ansj
- */
-public class ForeignPersonRecognition implements TermArrRecognition {
-
-    private static final LinkedList PRLIST = new LinkedList<>();
-
-    private static NameChar INNAME = null;
-
-    private static HashSet ISNOTFIRST = new HashSet<>();
-
-    static {
-        NameChar trans_english = new NameChar(StringUtil.sortCharArray(
-                        "·-—阿埃艾爱安昂敖奥澳笆芭巴白拜班邦保堡鲍北贝本比毕彼别波玻博勃伯泊卜布才采仓查差柴彻川茨慈次达大戴代丹旦但当道德得登迪狄蒂帝丁东杜敦多额俄厄鄂恩尔伐法范菲芬费佛夫福弗甫噶盖干冈哥戈革葛格各根古瓜哈海罕翰汗汉豪合河赫亨侯呼胡华霍基吉及加贾坚简杰金京久居君喀卡凯坎康考柯科可克肯库奎拉喇莱来兰郎朗劳勒雷累楞黎理李里莉丽历利立力连廉良列烈林隆卢虏鲁路伦仑罗洛玛马买麦迈曼茅茂梅门蒙盟米蜜密敏明摩莫墨默姆木穆那娜纳乃奈南内尼年涅宁纽努诺欧帕潘畔庞培佩彭皮平泼普其契恰强乔切钦沁泉让热荣肉儒瑞若萨塞赛桑瑟森莎沙山善绍舍圣施诗石什史士守斯司丝苏素索塔泰坦汤唐陶特提汀图土吐托陀瓦万王旺威韦维魏温文翁沃乌吾武伍西锡希喜夏相香歇谢辛新牙雅亚彦尧叶依伊衣宜义因音英雍尤于约宰泽增詹珍治中仲朱诸卓孜祖佐伽娅尕腓滕济嘉津赖莲琳律略慕妮聂裴浦奇齐琴茹珊卫欣逊札哲智兹芙汶迦珀琪梵斐胥黛"));
-        NameChar trans_russian = new NameChar(StringUtil.sortCharArray(
-                        "·-阿安奥巴比彼波布察茨大德得丁杜尔法夫伏甫盖格哈基加坚捷金卡科可克库拉莱兰勒雷里历利连列卢鲁罗洛马梅蒙米姆娜涅宁诺帕泼普奇齐乔切日萨色山申什斯索塔坦特托娃维文乌西希谢亚耶叶依伊以扎佐柴达登蒂戈果海赫华霍吉季津柯理琳玛曼穆纳尼契钦丘桑沙舍泰图瓦万雅卓兹"));
-        // 注释掉了日本人名.表面上是抵制日货.背地里是处理不好..
-        // NameChar trans_japanese = new NameChar(
-        // StringUtil
-        // .sortCharArray("安奥八白百邦保北倍本比滨博步部彩菜仓昌长朝池赤川船淳次村大代岛稻道德地典渡尔繁饭风福冈高工宫古谷关广桂贵好浩和合河黑横恒宏后户荒绘吉纪佳加见健江介金今进井静敬靖久酒菊俊康可克口梨理里礼栗丽利立凉良林玲铃柳隆鹿麻玛美萌弥敏木纳南男内鸟宁朋片平崎齐千前浅桥琴青清庆秋丘曲泉仁忍日荣若三森纱杉山善上伸神圣石实矢世市室水顺司松泰桃藤天田土万望尾未文武五舞西细夏宪相小孝新星行雄秀雅亚岩杨洋阳遥野也叶一伊衣逸义益樱永由有佑宇羽郁渊元垣原远月悦早造则泽增扎宅章昭沼真政枝知之植智治中忠仲竹助椎子佐阪坂堀荻菅薰浜濑鸠筱"));
-        PRLIST.add(trans_english);
-        PRLIST.add(trans_russian);
-        // PRLIST.add(trans_japanese);
-
-        INNAME = new NameChar(StringUtil.sortCharArray(
-                        "-·—丁万丘东丝中丹丽乃久义乌乔买于亚亨京什仑仓代以仲伊伍伏伐伦伯伽但佐佛佩依侯俄保儒克兰其兹内冈凯切列利别力加努劳勃勒北华卓南博卜卡卢卫厄历及古可史叶司各合吉吐君吾呼哈哥哲唐喀善喇喜嘉噶因图土圣坎坚坦埃培基堡塔塞增墨士夏多大夫奇奈奎契奥妮姆威娃娅娜孜季宁守安宜宰密察尔尕尤尧尼居山川差巴布希帕帝干平年库庞康廉弗强当彦彭彻彼律得德恩恰慈慕戈戴才扎托拉拜捷提摩敏敖敦文斐斯新施日旦旺昂明普智曼朗木本札朱李杜来杰林果查柯柴根格桑梅梵森楞次欣欧歇武比毕汀汉汗汤汶沁沃沙河治泉泊法波泰泼泽洛津济浦海涅温滕潘澳烈热爱牙特狄王玛玻珀珊珍班理琪琳琴瑞瑟瓜瓦甫申畔略登白皮盖盟相石祖福科穆立笆简米素索累约纳纽绍维罕罗翁翰考耶聂肉肯胡胥腓舍良色艾芙芬芭苏若英茂范茅茨茹荣莉莎莫莱莲菲萨葛蒂蒙虏蜜衣裴西詹让诗诸诺谢豪贝费贾赖赛赫路辛达迈连迦迪逊道那邦郎鄂采里金钦锡门阿陀陶隆雅雍雷霍革韦音额香马魏鲁鲍麦黎默黛齐"));
-
-        ISNOTFIRST.add('-');
-        ISNOTFIRST.add('·');
-        ISNOTFIRST.add('—');
-    }
-
-    private List tempList = new ArrayList<>();
-    private LinkedList prList = null;
-    private Term[] terms = null;
-
-    @Override
-    public void recognition(Term[] terms) {
-        this.terms = terms;
-        String name = null;
-        Term term = null;
-        reset();
-        for (int i = 0; i < terms.length; i++) {
-            if (terms[i] == null) {
-                continue;
-            }
-
-            term = terms[i];
-            // 如果名字的开始是人名的前缀,或者后缀.那么忽略
-            if (tempList.isEmpty()) {
-                if (term.termNatures().personAttr.end > 10) {
-                    continue;
-                }
-
-                if ((terms[i].getName().length() == 1 && ISNOTFIRST.contains(terms[i].getName().charAt(0)))) {
-                    continue;
-                }
-            }
-
-            name = term.getName();
-
-            if (term.termNatures() == TermNatures.NR || term.termNatures() == TermNatures.NW || name.length() == 1) {
-                boolean flag = validate(name);
-                if (flag) {
-                    tempList.add(term);
-                }
-            } else if (tempList.size() == 1) {
-                reset();
-            } else if (tempList.size() > 1) {
-                TermUtil.insertTerm(terms, tempList, TermNatures.NR);
-                reset();
-            }
-        }
-    }
-
-    private boolean validate(String name) {
-        boolean flag = false;
-        NameChar nameChar = null;
-        for (int j = 0; j < prList.size(); j++) {
-            nameChar = prList.get(j);
-            if (nameChar.contains(name)) {
-                flag = true;
-            } else {
-                prList.remove(j);
-                // 向后回退一位
-                j--;
-            }
-        }
-        return flag;
-    }
-
-    @SuppressWarnings("unchecked")
-    private void reset() {
-
-        tempList.clear();
-        prList = (LinkedList) PRLIST.clone();
-    }
-
-    public static boolean isFName(String name) {
-        for (int i = 0; i < name.length(); i++) {
-            if (!INNAME.contains(name.charAt(i))) {
-                return false;
-            }
-        }
-        return true;
-    }
-
-    private static class NameChar {
-        private char[] chars = null;
-
-        public NameChar(char[] chars) {
-            this.chars = chars;
-        }
-
-        public boolean contains(String name) {
-            return contains(name.charAt(0));
-        }
-
-        public boolean contains(char c) {
-            return Arrays.binarySearch(chars, c) > -1;
-        }
-    }
-
-    public List getNewWords(Term[] terms) {
-        this.terms = terms;
-        List all = new ArrayList<>();
-        String name = null;
-        Term term = null;
-        reset();
-        for (int i = 0; i < terms.length; i++) {
-            if (terms[i] == null) {
-                continue;
-            }
-
-            term = terms[i];
-            // 如果名字的开始是人名的前缀,或者后缀.那么忽略
-            if (tempList.isEmpty()) {
-                if (term.termNatures().personAttr.end > 10) {
-                    continue;
-                }
-
-                if ((terms[i].getName().length() == 1 && ISNOTFIRST.contains(terms[i].getName().charAt(0)))) {
-                    continue;
-                }
-            }
-
-            name = term.getName();
-            if (term.termNatures() == TermNatures.NR || term.termNatures() == TermNatures.NW || name.length() == 1) {
-                boolean flag = validate(name);
-                if (flag) {
-                    tempList.add(term);
-                }
-            } else if (tempList.size() == 1) {
-                reset();
-            } else if (tempList.size() > 1) {
-                StringBuilder sb = new StringBuilder();
-                for (Term temp : tempList) {
-                    sb.append(temp.getName());
-                }
-                all.add(new NewWord(sb.toString(), Nature.NRF));
-                reset();
-            }
-        }
-        return all;
-    }
-
-    public List getNewTerms() {
-        LinkedList result = new LinkedList<>();
-        String name = null;
-        Term term = null;
-        reset();
-        for (int i = 0; i < terms.length; i++) {
-            if (terms[i] == null) {
-                continue;
-            }
-
-            term = terms[i];
-            // 如果名字的开始是人名的前缀,或者后缀.那么忽略
-            if (tempList.isEmpty()) {
-                if (term.termNatures().personAttr.end > 10) {
-                    continue;
-                }
-
-                if ((terms[i].getName().length() == 1 && ISNOTFIRST.contains(terms[i].getName().charAt(0)))) {
-                    continue;
-                }
-            }
-
-            name = term.getName();
-
-            if (term.termNatures() == TermNatures.NR || term.termNatures() == TermNatures.NW || name.length() == 1) {
-                boolean flag = validate(name);
-                if (flag) {
-                    tempList.add(term);
-                }
-            } else if (tempList.size() == 1) {
-                reset();
-            } else if (tempList.size() > 1) {
-                result.add(makeNewTerm());
-                reset();
-            }
-        }
-        return result;
-    }
-
-    public Term makeNewTerm() {
-        StringBuilder sb = new StringBuilder();
-        int offe = tempList.get(0).getOffe();
-        for (Term term : tempList) {
-            sb.append(term.getName());
-        }
-        return new Term(sb.toString(), offe, TermNatures.NR);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/NewWordRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/NewWordRecognition.java
deleted file mode 100644
index a869c3739..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/NewWordRecognition.java
+++ /dev/null
@@ -1,138 +0,0 @@
-package org.ansj.recognition.arrimpl;
-
-import org.ansj.dic.LearnTool;
-import org.ansj.domain.Nature;
-import org.ansj.domain.NewWord;
-import org.ansj.domain.Term;
-import org.ansj.util.TermUtil;
-import org.ansj.util.TermUtil.InsertTermType;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-
-/**
- * 新词识别
- * 
- * @author ansj
- * 
- */
-public class NewWordRecognition {
-
-    private Term[] terms = null;
-
-    private double score;
-
-    private StringBuilder sb = new StringBuilder();
-
-    private SmartForest forest = null;
-
-    private SmartForest branch = null;
-
-    // private int offe = -1;
-    // private int endOffe = -1;
-    private Nature tempNature;
-
-    private Term from;
-
-    private Term to;
-
-    // 偏移量
-    private int offe;
-
-    public NewWordRecognition(LearnTool learn) {
-        forest = learn.getForest();
-        branch = learn.getForest();
-    }
-
-    public void recognition(Term[] terms) {
-        this.terms = terms;
-        if (branch == null) {
-            return;
-        }
-        int length = terms.length - 1;
-
-        Term term = null;
-        for (int i = 0; i < length; i++) {
-            if (terms[i] == null) {
-                continue;
-            } else {
-                from = terms[i].from();
-                terms[i].score(0);
-                terms[i].selfScore(0);
-            }
-
-            branch = branch.getBranch(terms[i].getName());
-
-            if (branch == null || branch.getStatus() == 3) {
-                reset();
-                continue;
-            }
-
-            offe = i;
-
-            // 循环查找添加
-            term = terms[i];
-            sb.append(term.getName());
-            if (branch.getStatus() == 2) {
-                term.selfScore(branch.getParam().getScore());
-            }
-            boolean flag = true;
-            while (flag) {
-                term = term.to();
-                branch = branch.getBranch(term.getName());
-                // 如果没有找到跳出
-                if (branch == null) {
-                    break;
-                }
-
-                switch (branch.getStatus()) {
-                    case 1:
-                        sb.append(term.getName());
-                        continue;
-                    case 2:
-                        sb.append(term.getName());
-                        score = branch.getParam().getScore();
-                        tempNature = branch.getParam().getNature();
-                        to = term.to();
-                        makeNewTerm();
-                        continue;
-                    case 3:
-                        sb.append(term.getName());
-                        score = branch.getParam().getScore();
-                        tempNature = branch.getParam().getNature();
-                        to = term.to();
-                        makeNewTerm();
-                        flag = false;
-                        break;
-                    default:
-                        System.out.println("怎么能出现0呢?");
-                        break;
-                }
-            }
-            reset();
-        }
-    }
-
-    private void makeNewTerm() {
-        Term term = new Term(sb.toString(), offe, tempNature.natureStr, 1);
-        term.selfScore(score);
-        term.setNature(tempNature);
-        if (sb.length() > 3) {
-            term.setSubTerm(TermUtil.getSubTerm(from, to));
-        }
-        TermUtil.termLink(from, term);
-        TermUtil.termLink(term, to);
-        TermUtil.insertTerm(terms, term, InsertTermType.SCORE_ADD_SORT);
-        TermUtil.parseNature(term);
-    }
-
-    /**
-     * 重置
-     */
-    private void reset() {
-        offe = -1;
-        tempNature = null;
-        branch = forest;
-        score = 0;
-        sb = new StringBuilder();
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/NumRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/NumRecognition.java
deleted file mode 100644
index 4ebd539d0..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/NumRecognition.java
+++ /dev/null
@@ -1,64 +0,0 @@
-package org.ansj.recognition.arrimpl;
-
-import org.ansj.domain.Term;
-import org.ansj.recognition.TermArrRecognition;
-import org.ansj.util.MyStaticValue;
-import org.ansj.util.TermUtil;
-
-public class NumRecognition implements TermArrRecognition {
-
-    /**
-     * 数字+数字合并,zheng
-     * 
-     * @param terms
-     */
-    @Override
-    public void recognition(Term[] terms) {
-        int length = terms.length - 1;
-        Term from = null;
-        Term to = null;
-        Term temp = null;
-        for (int i = 0; i < length; i++) {
-            if (terms[i] == null) {
-                continue;
-            } else if (".".equals(terms[i].getName()) || "．".equals(terms[i].getName())) {
-                // 如果是.前后都为数字进行特殊处理
-                to = terms[i].to();
-                from = terms[i].from();
-                if (from.termNatures().numAttr.flag && to.termNatures().numAttr.flag) {
-                    from.setName(from.getName() + "." + to.getName());
-                    TermUtil.termLink(from, to.to());
-                    terms[to.getOffe()] = null;
-                    terms[i] = null;
-                    i = from.getOffe() - 1;
-                }
-                continue;
-            } else if (!terms[i].termNatures().numAttr.flag) {
-                continue;
-            }
-
-            temp = terms[i];
-            // 将所有的数字合并
-            while ((temp = temp.to()).termNatures().numAttr.flag) {
-                terms[i].setName(terms[i].getName() + temp.getName());
-            }
-            // 如果是数字结尾
-            if (MyStaticValue.isQuantifierRecognition && temp.termNatures().numAttr.numEndFreq > 0) {
-                terms[i].setName(terms[i].getName() + temp.getName());
-                temp = temp.to();
-            }
-
-            // 如果不等,说明terms[i]发生了改变
-            if (terms[i].to() != temp) {
-                TermUtil.termLink(terms[i], temp);
-                // 将中间无用元素设置为null
-                for (int j = i + 1; j < temp.getOffe(); j++) {
-                    terms[j] = null;
-                }
-                i = temp.getOffe() - 1;
-            }
-        }
-
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/UserDefineRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/UserDefineRecognition.java
deleted file mode 100644
index e6b453a62..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/arrimpl/UserDefineRecognition.java
+++ /dev/null
@@ -1,165 +0,0 @@
-package org.ansj.recognition.arrimpl;
-
-import org.ansj.domain.Term;
-import org.ansj.domain.TermNature;
-import org.ansj.domain.TermNatures;
-import org.ansj.library.DicLibrary;
-import org.ansj.recognition.TermArrRecognition;
-import org.ansj.util.TermUtil;
-import org.ansj.util.TermUtil.InsertTermType;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-/**
- * 用户自定义词典.又称补充词典
- * 
- * @author ansj
- * 
- */
-public class UserDefineRecognition implements TermArrRecognition {
-
-    public static final Log logger = LogFactory.getLog(UserDefineRecognition.class);
-
-    private Term[] terms = null;
-
-    private Forest[] forests = {DicLibrary.get()};
-
-    private int offe = -1;
-    private int endOffe = -1;
-    private int tempFreq = 50;
-    private String tempNature;
-
-    private SmartForest branch = null;
-    private SmartForest forest = null;
-
-    private InsertTermType type = InsertTermType.SKIP;
-
-    public UserDefineRecognition(InsertTermType type, Forest... forests) {
-        this.type = type;
-        if (forests != null && forests.length > 0) {
-            this.forests = forests;
-        }
-
-    }
-
-    @Override
-    public void recognition(Term[] terms) {
-        this.terms = terms;
-        for (Forest forest : forests) {
-            if (forest == null) {
-                continue;
-            }
-            reset();
-            this.forest = forest;
-
-            branch = forest;
-
-            int length = terms.length - 1;
-
-            boolean flag = true;
-            for (int i = 0; i < length; i++) {
-                if (terms[i] == null)
-                    continue;
-                if (branch == forest) {
-                    flag = false;
-                } else {
-                    flag = true;
-                }
-
-                branch = termStatus(branch, terms[i]);
-                if (branch == null) {
-                    if (offe != -1) {
-                        i = offe;
-                    }
-                    reset();
-                } else if (branch.getStatus() == 3) {
-                    endOffe = i;
-                    tempNature = branch.getParam()[0];
-                    tempFreq = getInt(branch.getParam()[1], 50);
-                    if (offe != -1 && offe < endOffe) {
-                        i = offe;
-                        makeNewTerm();
-                        reset();
-                    } else {
-                        reset();
-                    }
-                } else if (branch.getStatus() == 2) {
-                    endOffe = i;
-                    if (offe == -1) {
-                        offe = i;
-                    } else {
-                        tempNature = branch.getParam()[0];
-                        tempFreq = getInt(branch.getParam()[1], 50);
-                        if (flag) {
-                            makeNewTerm();
-                        }
-                    }
-                } else if (branch.getStatus() == 1) {
-                    if (offe == -1) {
-                        offe = i;
-                    }
-                }
-            }
-            if (offe != -1 && offe < endOffe) {
-                makeNewTerm();
-            }
-        }
-    }
-
-    private int getInt(String str, int def) {
-        try {
-            return Integer.parseInt(str);
-        } catch (NumberFormatException e) {
-            logger.warn(str + "不是一个数字", e);
-            return def;
-        }
-    }
-
-    private void makeNewTerm() {
-        StringBuilder sb = new StringBuilder();
-        for (int j = offe; j <= endOffe; j++) {
-            if (terms[j] == null) {
-                continue;
-            } else {
-                sb.append(terms[j].getName());
-            }
-        }
-        TermNatures termNatures = new TermNatures(new TermNature(tempNature, tempFreq));
-        Term term = new Term(sb.toString(), offe, termNatures);
-        term.selfScore(-1 * tempFreq);
-        TermUtil.insertTerm(terms, term, type);
-    }
-
-    /**
-     * 重置
-     */
-    private void reset() {
-        offe = -1;
-        endOffe = -1;
-        tempFreq = 50;
-        tempNature = null;
-        branch = forest;
-    }
-
-    /**
-     * 传入一个term 返回这个term的状态
-     * 
-     * @param branch
-     * @param term
-     * @return
-     */
-    private SmartForest termStatus(SmartForest branch, Term term) {
-        String name = term.getName();
-        SmartForest sf = branch;
-        for (int j = 0; j < name.length(); j++) {
-            sf = sf.get(name.charAt(j));
-            if (sf == null) {
-                return null;
-            }
-        }
-        return sf;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/BookRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/BookRecognition.java
deleted file mode 100644
index b6ddaefec..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/BookRecognition.java
+++ /dev/null
@@ -1,78 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.Recognition;
-
-import java.util.HashMap;
-import java.util.LinkedList;
-import java.util.List;
-import java.util.Map;
-
-/**
- * 基于规则的新词发现 jijiang feidiao
- * 
- * @author ansj
- * 
- */
-public class BookRecognition implements Recognition {
-
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 1L;
-
-    private static final Nature nature = new Nature("book");
-
-    private static Map ruleMap = new HashMap<>();
-
-    static {
-        ruleMap.put("《", "》");
-    }
-
-    @Override
-    public void recognition(Result result) {
-        List terms = result.getTerms();
-        String end = null;
-        String name;
-
-        LinkedList mergeList = null;
-
-        List list = new LinkedList<>();
-
-        for (Term term : terms) {
-            name = term.getName();
-            if (end == null) {
-                if ((end = ruleMap.get(name)) != null) {
-                    mergeList = new LinkedList<>();
-                    mergeList.add(term);
-                } else {
-                    list.add(term);
-                }
-            } else {
-                mergeList.add(term);
-                if (end.equals(name)) {
-
-                    Term ft = mergeList.pollFirst();
-                    for (Term sub : mergeList) {
-                        ft.merage(sub);
-                    }
-                    ft.setNature(nature);
-                    list.add(ft);
-                    mergeList = null;
-                    end = null;
-                }
-            }
-        }
-
-        if (mergeList != null) {
-            for (Term term : list) {
-                list.add(term);
-            }
-        }
-
-        result.setTerms(list);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/DicRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/DicRecognition.java
deleted file mode 100644
index 70d35a900..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/DicRecognition.java
+++ /dev/null
@@ -1,58 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.library.DicLibrary;
-import org.ansj.recognition.Recognition;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-
-import java.util.List;
-
-/**
- * 
- * 用户自定词典识别 多本词典加入后将不再具有先后顺序,合并后统一规划.如果需要先后顺序请分别每个词典调用 Result.Recognition().Recognition() 这种方式 TODO:这种写灵活性是够了,但是速度不咋地.发愁........该不该这么写.先保留吧..也许在下一个版本中来做把
- * 
- * @author Ansj
- *
- */
-public class DicRecognition implements Recognition {
-
-    private static final long serialVersionUID = 7487741700410080896L;
-
-    private Forest[] forests = null;
-
-    public DicRecognition() {
-        forests = DicLibrary.gets(DicLibrary.DEFAULT);
-    }
-
-    public DicRecognition(String[] keys) {
-        forests = DicLibrary.gets(keys);
-    }
-
-    /**
-     * @param forests
-     */
-    public DicRecognition(Forest[] forests) {
-        this.forests = forests;
-    }
-
-    public DicRecognition(Forest forest) {
-        this.forests = new Forest[] {forest};
-    }
-
-    @Override
-    public void recognition(Result result) {
-        for (Forest forest : forests) {
-            if (forest == null) {
-                continue;
-            }
-            recognition(result, forest);
-        }
-    }
-
-    private void recognition(Result result, Forest forest) {
-        List terms = result.getTerms();
-
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/EmailRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/EmailRecognition.java
deleted file mode 100644
index b91f4c8f9..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/EmailRecognition.java
+++ /dev/null
@@ -1,55 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.Recognition;
-
-import java.util.HashMap;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Map;
-
-/**
- * 电子邮箱抽取
- * 
- * @author ansj
- *
- */
-public class EmailRecognition implements Recognition {
-
-    private static Map FEATURE = new HashMap<>();
-
-    private static final String NOT_HEAD = "NOT";
-    private static final String NATURE_HEAD = "nature:";
-    private static final String ALL = "ALL";
-
-    static {
-        FEATURE.put("-", NOT_HEAD);
-        FEATURE.put("_", NOT_HEAD);
-        FEATURE.put(".", NOT_HEAD);
-        FEATURE.put(NATURE_HEAD + "en", ALL);
-        FEATURE.put(NATURE_HEAD + "m", ALL);
-
-    }
-
-    @Override
-    public void recognition(Result result) {
-
-        List terms = result.getTerms();
-
-        for (Term term : terms) {
-            if (!"@".equals(term.getName())) {
-                continue;
-            }
-
-        }
-
-        for (Iterator iterator = terms.iterator(); iterator.hasNext();) {
-            Term term = iterator.next();
-            if (term.getName() == null) {
-                iterator.remove();
-            }
-        }
-
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/IDCardRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/IDCardRecognition.java
deleted file mode 100644
index 1f0ef26c5..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/IDCardRecognition.java
+++ /dev/null
@@ -1,55 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.Recognition;
-
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * 基于规则的新词发现，身份证号码识别
- * 
- * @author ansj
- * 
- */
-public class IDCardRecognition implements Recognition {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = -32133440735240290L;
-    private static final Nature ID_CARD_NATURE = new Nature("idcard");
-
-    @Override
-    public void recognition(Result result) {
-
-        List terms = result.getTerms();
-
-        for (Term term : terms) {
-            if ("m".equals(term.getNatureStr())) {
-
-                if (term.getName().length() == 18) {
-                    term.setNature(ID_CARD_NATURE);
-                } else if (term.getName().length() == 17) {
-                    Term to = term.to();
-                    if ("x".equals(to.getName())) {
-                        term.merage(to);
-                        to.setName(null);
-                        term.setNature(ID_CARD_NATURE);
-                    }
-                }
-
-            }
-        }
-
-        for (Iterator iterator = terms.iterator(); iterator.hasNext();) {
-            Term term = iterator.next();
-            if (term.getName() == null) {
-                iterator.remove();
-            }
-        }
-
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/NatureRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/NatureRecognition.java
deleted file mode 100644
index a7f443527..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/NatureRecognition.java
+++ /dev/null
@@ -1,286 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.*;
-import org.ansj.library.DATDictionary;
-import org.ansj.library.DicLibrary;
-import org.ansj.recognition.Recognition;
-import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
-import org.ansj.splitWord.analysis.ToAnalysis;
-import org.ansj.util.MathUtil;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.WordAlert;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * 词性标注工具类
- * 
- * @author ansj
- * 
- */
-public class NatureRecognition implements Recognition {
-
-    private static final long serialVersionUID = 1L;
-
-    private static final Log logger = LogFactory.getLog();
-
-    private static final Forest SUFFIX_FOREST = new Forest();
-
-    private Forest[] forests = null;
-
-    static {
-        try (BufferedReader reader = MyStaticValue.getNatureClassSuffix()) {
-            String temp = null;
-            while ((temp = reader.readLine()) != null) {
-                String[] split = temp.split("\t");
-                String word = split[0];
-                if (word.length() > 1) {
-                    word = new StringBuffer(word).reverse().toString();
-                }
-                SUFFIX_FOREST.add(word, new String[] {split[1]});
-            }
-        } catch (IOException e) {
-            logger.warn("IO异常", e);
-        }
-    }
-
-    public NatureRecognition() {
-        forests = new Forest[] {DicLibrary.get()};
-    }
-
-    public NatureRecognition(Forest... forests) {
-        this.forests = forests;
-    }
-
-    private NatureTerm root = new NatureTerm(TermNature.BEGIN);
-
-    private NatureTerm[] end = {new NatureTerm(TermNature.END)};
-
-    private List terms = null;
-
-    private NatureTerm[][] natureTermTable = null;
-
-    /**
-     * 进行最佳词性查找,引用赋值.所以不需要有返回值
-     */
-    @Override
-    public void recognition(Result result) {
-        this.terms = result.getTerms();
-        natureTermTable = new NatureTerm[terms.size() + 1][];
-        natureTermTable[terms.size()] = end;
-
-        int length = terms.size();
-        for (int i = 0; i < length; i++) {
-            natureTermTable[i] = getNatureTermArr(terms.get(i).termNatures().termNatures);
-        }
-        walk();
-    }
-
-    /**
-     * 传入一组。词对词语进行。词性标注
-     * 
-     * @param words
-     * @param offe
-     * @return
-     */
-    public List recognition(List words) {
-        return recognition(words, 0);
-    }
-
-    /**
-     * 传入一组。词对词语进行。词性标注
-     * 
-     * @param words
-     * @param offe
-     * @return
-     */
-    public List recognition(List words, int offe) {
-        List terms = new ArrayList<>(words.size());
-        int tempOffe = 0;
-        for (String word : words) {
-            TermNatures tn = getTermNatures(word);
-
-            terms.add(new Term(word, offe + tempOffe, tn));
-            tempOffe += word.length();
-        }
-        new NatureRecognition().recognition(new Result(terms));
-        return terms;
-    }
-
-    /**
-     * 传入一次词语获得相关的词性
-     * 
-     * @param word
-     * @return
-     */
-    public TermNatures getTermNatures(String word) {
-        String[] params = null;
-        // 获得词性 ， 先从系统辞典。在从用户自定义辞典
-        AnsjItem ansjItem = DATDictionary.getItem(word);
-        TermNatures tn = null;
-
-        if (ansjItem != AnsjItem.NULL) {
-            tn = ansjItem.termNatures;
-        } else if ((params = getParams(word)) != null) {
-            tn = new TermNatures(new TermNature(params[0], 1));
-        } else if (WordAlert.isEnglish(word)) {
-            tn = TermNatures.EN;
-        } else if (WordAlert.isNumber(word)) {
-            tn = TermNatures.M;
-        } else {
-            tn = TermNatures.NULL;
-        }
-        return tn;
-    }
-
-    /**
-     * 获取一个词语的参数
-     * 
-     * @param word
-     * @return
-     */
-    public String[] getParams(String word) {
-        for (Forest forest : forests) {
-            if (forest == null) {
-                continue;
-            }
-            SmartForest sf = forest;
-            for (int i = 0; i < word.length(); i++) {
-                sf = sf.get(word.charAt(i));
-                if (sf == null) {
-                    return null;
-                }
-            }
-            if (sf.getStatus() > 1) {
-                return sf.getParam();
-            } else {
-                return null;
-            }
-        }
-        return null;
-    }
-
-    /**
-     * 通过规则 猜测词性
-     * 
-     * @param word
-     * @return
-     */
-    public static TermNatures guessNature(String word) {
-        String nature = null;
-        SmartForest smartForest = SUFFIX_FOREST;
-        int len = 0;
-        for (int i = word.length() - 1; i >= 0; i--) {
-            smartForest = smartForest.get(word.charAt(i));
-            if (smartForest == null) {
-                break;
-            }
-            len++;
-            if (smartForest.getStatus() == 2) {
-                nature = smartForest.getParam()[0];
-            } else if (smartForest.getStatus() == 3) {
-                nature = smartForest.getParam()[0];
-                break;
-            }
-        }
-
-        if ("nt".equals(nature) && (len > 1 || word.length() > 3)) {
-            return TermNatures.NT;
-        } else if ("ns".equals(nature)) {
-            return TermNatures.NS;
-        } else if (word.length() < 5) {
-            Result parse = ToAnalysis.parse(word);
-            for (Term term : parse.getTerms()) {
-                if ("nr".equals(term.getNatureStr())) {
-                    return TermNatures.NR;
-                }
-            }
-        } else if (ForeignPersonRecognition.isFName(word)) {
-            return TermNatures.NRF;
-        }
-
-        return TermNatures.NW;
-    }
-
-    public void walk() {
-        int length = natureTermTable.length - 1;
-        setScore(root, natureTermTable[0]);
-        for (int i = 0; i < length; i++) {
-            for (int j = 0; j < natureTermTable[i].length; j++) {
-                setScore(natureTermTable[i][j], natureTermTable[i + 1]);
-            }
-        }
-        optimalRoot();
-    }
-
-    private void setScore(NatureTerm natureTerm, NatureTerm[] natureTerms) {
-
-        for (int i = 0; i < natureTerms.length; i++) {
-            natureTerms[i].setScore(natureTerm);
-        }
-    }
-
-    private NatureTerm[] getNatureTermArr(TermNature[] termNatures) {
-        NatureTerm[] natureTerms = new NatureTerm[termNatures.length];
-        for (int i = 0; i < natureTerms.length; i++) {
-            natureTerms[i] = new NatureTerm(termNatures[i]);
-        }
-        return natureTerms;
-    }
-
-    /**
-     * 获得最优路径
-     */
-    private void optimalRoot() {
-        NatureTerm to = end[0];
-        NatureTerm from = null;
-        int index = natureTermTable.length - 1;
-        while ((from = to.from) != null && index > 0) {
-            terms.get(--index).setNature(from.termNature.nature);
-            to = from;
-        }
-    }
-
-    /**
-     * 关于这个term的词性
-     * 
-     * @author ansj
-     * 
-     */
-    public class NatureTerm {
-
-        public TermNature termNature;
-
-        public double score = 0;
-
-        public double selfScore;
-
-        public NatureTerm from;
-
-        protected NatureTerm(TermNature termNature) {
-            this.termNature = termNature;
-            selfScore = termNature.frequency + 1;
-        }
-
-        public void setScore(NatureTerm natureTerm) {
-            double tempScore = MathUtil.compuNatureFreq(natureTerm, this);
-            if (from == null || score < tempScore) {
-                this.score = tempScore;
-                this.from = natureTerm;
-            }
-        }
-
-        @Override
-        public String toString() {
-            return termNature.nature.natureStr + "/" + selfScore;
-        }
-
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/StopRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/StopRecognition.java
deleted file mode 100644
index 4449155af..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/StopRecognition.java
+++ /dev/null
@@ -1,131 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.Recognition;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.util.*;
-import java.util.regex.Pattern;
-
-/**
- * 对结果增加过滤,支持词性过滤,和词语过滤.
- * 
- * @author Ansj
- *
- */
-public class StopRecognition implements Recognition {
-
-    private static final Log LOG = LogFactory.getLog();
-
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 7041503137429986566L;
-
-    private Set stop = new HashSet<>();
-
-    private Set natureStop = new HashSet<>();
-
-    private Set regexList = new HashSet<>();
-
-    /**
-     * 批量增加停用词
-     * 
-     * @param filterWords
-     * @return
-     */
-    public StopRecognition insertStopWords(Collection filterWords) {
-        stop.addAll(filterWords);
-        return this;
-    }
-
-    /**
-     * 批量增加停用词
-     * 
-     * @param stopWords
-     * @return
-     */
-    public StopRecognition insertStopWords(String... stopWords) {
-        for (String words : stopWords) {
-            stop.add(words);
-        }
-        return this;
-    }
-
-    /**
-     * 批量增加停用词性 比如 增加nr 后.人名将不在结果中
-     * 
-     * @param stopWords
-     */
-    public void insertStopNatures(String... stopNatures) {
-        for (String natureStr : stopNatures) {
-            natureStop.add(natureStr);
-        }
-    }
-
-    /**
-     * 增加正则表达式过滤
-     * 
-     * @param regex
-     */
-    public void insertStopRegexes(String... regexes) {
-        for (String regex : regexes) {
-            try {
-                regexList.add(Pattern.compile(regex));
-            } catch (Exception e) {
-                LOG.error("regex err : " + regex, e);
-            }
-        }
-
-    }
-
-    @Override
-    public void recognition(Result result) {
-        List list = result.getTerms();
-        Iterator iterator = list.iterator();
-
-        while (iterator.hasNext()) {
-            Term term = iterator.next();
-            if (filter(term)) {
-                iterator.remove();
-            }
-        }
-
-    }
-
-    /**
-     * 判断一个词语是否停用..
-     * 
-     * @param term
-     * @return
-     */
-    public boolean filter(Term term) {
-
-        if (!stop.isEmpty() && (stop.contains(term.getName()))) {
-            return true;
-        }
-
-        if (!natureStop.isEmpty() && (natureStop.contains(term.natrue().natureStr))) {
-            return true;
-        }
-
-        if (!regexList.isEmpty()) {
-            for (Pattern stopwordPattern : regexList) {
-                if (stopwordPattern.matcher(term.getName()).matches()) {
-                    return true;
-                }
-            }
-        }
-
-        return false;
-    }
-
-    public void clear() {
-        this.stop.clear();
-        this.natureStop.clear();
-        this.regexList.clear();
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/SynonymsRecgnition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/SynonymsRecgnition.java
deleted file mode 100644
index c9064e3d8..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/SynonymsRecgnition.java
+++ /dev/null
@@ -1,48 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.library.SynonymsLibrary;
-import org.ansj.recognition.Recognition;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-
-import java.util.List;
-
-/**
- * 同义词功能
- * 
- * @author Ansj
- *
- */
-public class SynonymsRecgnition implements Recognition {
-
-    private static final long serialVersionUID = 5961499108093950130L;
-
-    private SmartForest> synonyms = null;
-
-    public SynonymsRecgnition() {
-        this.synonyms = SynonymsLibrary.get();
-    }
-
-    public SynonymsRecgnition(String key) {
-        this.synonyms = SynonymsLibrary.get(key);
-    }
-
-    public SynonymsRecgnition(SmartForest> synonyms) {
-        this.synonyms = synonyms;
-    }
-
-    @Override
-    public void recognition(Result result) {
-        for (Term term : result) {
-            SmartForest> branch = synonyms.getBranch(term.getName());
-            if (branch != null && branch.getStatus() > 1) {
-                List syns = branch.getParam();
-                if (syns != null) {
-                    term.setSynonyms(syns);
-                }
-            }
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/TimeRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/TimeRecognition.java
deleted file mode 100644
index 9c981374f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/TimeRecognition.java
+++ /dev/null
@@ -1,76 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.Recognition;
-
-import java.util.LinkedList;
-import java.util.List;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/**
- * 时间识别抽取
- * 
- * @author sunyang
- * 
- */
-public class TimeRecognition implements Recognition {
-
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 1L;
-    private static final Nature nature = new Nature("t");
-
-    @Override
-    public void recognition(Result result) {
-        String name = "";
-        String timeWord = "";
-        List terms = result.getTerms();
-        LinkedList mergeList = new LinkedList<>();
-        List list = new LinkedList<>();
-
-        Pattern pattern =
-                        Pattern.compile("((\\d|[０１２３４５６７８９]){1,4}年(\\d|[０１２３４５６７８９]){1,2}月(\\d|[０１２３４５６７８９]){1,2}[日|号](上午|下午|中午|晚)?(\\s)*((\\d|[０１２３４５６７８９]){1,2}([点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?)?(\\s)*(PM|AM)?|(\\d|[０１２３４５６７８９]){1,2}(月|月份)(\\d|[０１２３４５６７８９]){1,2}([日|号])?(上午|下午|中午|晚)?(\\s)*((\\d|[０１２３４５６７８９]){1,2}([点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?)?(\\s)*(PM|AM)?|(\\d|[０１２３４５６７８９]){1,2}日(上午|下午|中午|晚)?(\\s)*((\\d|[０１２３４５６７８９]){1,2}([点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?)?(\\s)*(PM|AM)?|(昨天|昨日|昨日上午|昨日下午|昨日晚上|昨天早上|昨天上午|昨天中午|昨天下午|昨晚|昨夜|昨天晚上|今天早上|今天上午|今天下午|今晚|今天晚上|今日上午|今日下午|今日|今天|前天|今年|去年|当日|当日上午|上午|下午|中午|清晨|前晚|早上|凌晨|今晨|近日|日前|不久前)((\\d|[０１２３４５６７８９]){1,2}[点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?(\\s)*(PM|AM)?|[\\“|\"](1|2|3|4|5|6|7|8|9|10|11|12)[·|.| |-](\\d|[０１２３４５６７８９]){1,2}[\\”|\"]|星期[一|二|三|四|五|六|天|日]|(\\d|[０１２３４５６７８９]){1,2}[点|时|點|時]((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?(\\s)*(PM|AM)?|(\\d|[０１２３４５６７８９]){4}年((\\d|[０１２３４５６７８９]){1,2}月)?|(\\d|[０１２３４５６７８９]){1,2}月|(正|一|二|三|四|五|六|七|八|九|十|十一|十二|腊)月((初|十|二十|三十)[ 一二三四五六七八九十])?(上午|下午|中午|晚)?|((\\d|[０１２３４５６７８９]){4}-(\\d|[０１２３４５６７８９]){2}-(\\d|[０１２３４５６７８９]){2})?(\\s)*(\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2}|(\\d|[０１２３４５６７８９]){4}-(\\d|[０１２３４５６７８９]){2}-(\\d|[０１２３４５６７８９]){2}(\\s)*((\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2})?)",
-                                        Pattern.CASE_INSENSITIVE | Pattern.MULTILINE);
-
-        for (int i = 0; i < terms.size(); i++) {
-            boolean isTime = false;
-            Term termBase = terms.get(i);
-            int timeTermsLength = 1;
-            int matchLength = 0; //匹配长度
-            for (int j = i; j < terms.size() && matchLength < 11; j++) { //向后最大找14个词匹配是否是时间词
-                Term term = terms.get(j);
-                name = term.getName();
-                timeWord += name;
-                Matcher matcher = pattern.matcher(timeWord);
-                mergeList.add(term);
-                if (matcher.matches()) {
-                    isTime = true;
-                    timeTermsLength += (j - i);
-                    i = j;
-                }
-                matchLength++;
-            }
-            if (isTime) {
-                Term ft = mergeList.pollFirst();
-                for (int k = 0; k < timeTermsLength - 1; k++) {
-                    ft.merageWithBlank(mergeList.get(k));
-                }
-                ft.setNature(nature);
-                list.add(ft);
-            } else {
-                list.add(termBase);
-            }
-            mergeList.clear();
-            timeWord = "";
-
-        }
-        result.setTerms(list);
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/UserDicNatureRecognition.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/UserDicNatureRecognition.java
deleted file mode 100644
index 5ea599aa4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/recognition/impl/UserDicNatureRecognition.java
+++ /dev/null
@@ -1,65 +0,0 @@
-package org.ansj.recognition.impl;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.library.DicLibrary;
-import org.ansj.recognition.Recognition;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-
-/**
- * 用户自定义词典的词性优先
- * 
- * @author ansj
- *
- */
-public class UserDicNatureRecognition implements Recognition {
-
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 1L;
-    private Forest[] forests = null;
-
-    public UserDicNatureRecognition() {
-        forests = new Forest[] {DicLibrary.get()};
-    }
-
-    /**
-     * 传入多本词典，后面的会覆盖前面的结果
-     * 
-     * @param forests
-     */
-    public UserDicNatureRecognition(Forest... forests) {
-        this.forests = forests;
-    }
-
-    @Override
-    public void recognition(Result result) {
-        for (Term term : result) {
-            for (int i = forests.length - 1; i > -1; i--) {
-                String[] params = getParams(forests[i], term.getName());
-                if (params != null) {
-                    term.setNature(new Nature(params[0]));
-                    break;
-                }
-            }
-        }
-    }
-
-    public static String[] getParams(Forest forest, String word) {
-        SmartForest temp = forest;
-        for (int i = 0; i < word.length(); i++) {
-            temp = temp.get(word.charAt(i));
-            if (temp == null) {
-                return null;
-            }
-        }
-        if (temp.getStatus() > 1) {
-            return temp.getParam();
-        } else {
-            return null;
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/Analysis.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/Analysis.java
deleted file mode 100644
index 0140b3b9d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/Analysis.java
+++ /dev/null
@@ -1,333 +0,0 @@
-package org.ansj.splitWord;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.domain.TermNature;
-import org.ansj.domain.TermNatures;
-import org.ansj.library.AmbiguityLibrary;
-import org.ansj.library.DicLibrary;
-import org.ansj.splitWord.impl.GetWordsImpl;
-import org.ansj.util.AnsjReader;
-import org.ansj.util.Graph;
-import org.ansj.util.MyStaticValue;
-import org.nlpcn.commons.lang.tire.GetWord;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.WordAlert;
-
-import java.io.IOException;
-import java.io.Reader;
-import java.util.ArrayList;
-import java.util.LinkedList;
-import java.util.List;
-
-import static org.ansj.library.DATDictionary.status;
-
-/**
- * 基本分词+人名识别
- * 
- * @author ansj
- * 
- */
-public abstract class Analysis {
-
-    /**
-     * 用来记录偏移量
-     */
-    public int offe;
-
-    /**
-     * 分词的类
-     */
-    private GetWordsImpl gwi = new GetWordsImpl();
-
-    protected Forest[] forests = null;
-
-    private Forest ambiguityForest = AmbiguityLibrary.get();
-
-    // 是否开启人名识别
-    protected Boolean isNameRecognition = true;
-
-    // 是否开启数字识别
-    protected Boolean isNumRecognition = true;
-
-    // 是否数字和量词合并
-    protected Boolean isQuantifierRecognition = true;
-
-    // 是否显示真实词语
-    protected Boolean isRealName = false;
-
-    /**
-     * 文档读取流
-     */
-    private AnsjReader br;
-
-    protected Analysis() {
-        this.forests = new Forest[] {DicLibrary.get()};
-        this.isNameRecognition = MyStaticValue.isNameRecognition;
-        this.isNumRecognition = MyStaticValue.isNumRecognition;
-        this.isQuantifierRecognition = MyStaticValue.isQuantifierRecognition;
-        this.isRealName = MyStaticValue.isRealName;
-    };
-
-    private LinkedList terms = new LinkedList<>();
-
-    /**
-     * while 循环调用.直到返回为null则分词结束
-     * 
-     * @return
-     * @throws IOException
-     */
-
-    public Term next() throws IOException {
-        Term term = null;
-        if (!terms.isEmpty()) {
-            term = terms.poll();
-            term.updateOffe(offe);
-            return term;
-        }
-
-        String temp = br.readLine();
-        offe = br.getStart();
-        while (StringUtil.isBlank(temp)) {
-            if (temp == null) {
-                return null;
-            } else {
-                temp = br.readLine();
-            }
-
-        }
-
-        // 歧异处理字符串
-
-        fullTerms(temp);
-
-        if (!terms.isEmpty()) {
-            term = terms.poll();
-            term.updateOffe(offe);
-            return term;
-        }
-
-        return null;
-    }
-
-    /**
-     * 填充terms
-     */
-    private void fullTerms(String temp) {
-        List result = analysisStr(temp);
-        terms.addAll(result);
-    }
-
-    /**
-     * 一整句话分词,用户设置的歧异优先
-     * 
-     * @param temp
-     * @return
-     */
-    private List analysisStr(String temp) {
-        Graph gp = new Graph(temp);
-        int startOffe = 0;
-
-        if (this.ambiguityForest != null) {
-            GetWord gw = new GetWord(this.ambiguityForest, gp.chars);
-            String[] params = null;
-            while ((gw.getFrontWords()) != null) {
-                if (gw.offe > startOffe) {
-                    analysis(gp, startOffe, gw.offe);
-                }
-                params = gw.getParams();
-                startOffe = gw.offe;
-                for (int i = 0; i < params.length; i += 2) {
-                    gp.addTerm(new Term(params[i], startOffe, new TermNatures(new TermNature(params[i + 1], 1))));
-                    startOffe += params[i].length();
-                }
-            }
-        }
-        if (startOffe < gp.chars.length) {
-            analysis(gp, startOffe, gp.chars.length);
-        }
-        List result = this.getResult(gp);
-
-        return result;
-    }
-
-    private void analysis(Graph gp, int startOffe, int endOffe) {
-        int start = 0;
-        int end = 0;
-        char[] chars = gp.chars;
-
-        String str = null;
-        for (int i = startOffe; i < endOffe; i++) {
-            switch (status(chars[i])) {
-                case 4:
-                    start = i;
-                    end = 1;
-                    while (++i < endOffe && status(chars[i]) == 4) {
-                        end++;
-                    }
-                    str = WordAlert.alertEnglish(chars, start, end);
-                    gp.addTerm(new Term(str, start, TermNatures.EN));
-                    i--;
-                    break;
-                case 5:
-                    start = i;
-                    end = 1;
-                    while (++i < endOffe && status(chars[i]) == 5) {
-                        end++;
-                    }
-                    str = WordAlert.alertNumber(chars, start, end);
-                    gp.addTerm(new Term(str, start, TermNatures.M));
-                    i--;
-                    break;
-                default:
-                    start = i;
-                    end = i;
-
-                    int status = 0;
-                    do {
-                        end = ++i;
-                        if (i >= endOffe) {
-                            break;
-                        }
-                        status = status(chars[i]);
-                    } while (status < 4);
-
-                    if (status > 3) {
-                        i--;
-                    }
-
-                    gwi.setChars(chars, start, end);
-                    int max = start;
-                    while ((str = gwi.allWords()) != null) {
-                        Term term = new Term(str, gwi.offe, gwi.getItem());
-                        int len = term.getOffe() - max;
-                        if (len > 0) {
-                            for (; max < term.getOffe();) {
-                                gp.addTerm(new Term(String.valueOf(chars[max]), max, TermNatures.NULL));
-                                max++;
-                            }
-                        }
-                        gp.addTerm(term);
-                        max = term.toValue();
-                    }
-
-                    int len = end - max;
-                    if (len > 0) {
-                        for (; max < end;) {
-                            gp.addTerm(new Term(String.valueOf(chars[max]), max, TermNatures.NULL));
-                            max++;
-                        }
-                    }
-
-                    break;
-            }
-        }
-    }
-
-    /**
-     * 将为标准化的词语设置到分词中
-     * 
-     * @param gp
-     * @param result
-     */
-    protected void setRealName(Graph graph, List result) {
-
-        if (!MyStaticValue.isRealName) {
-            return;
-        }
-
-        String str = graph.realStr;
-
-        for (Term term : result) {
-            term.setRealName(str.substring(term.getOffe(), term.getOffe() + term.getName().length()));
-        }
-    }
-
-    /**
-     * 一句话进行分词并且封装
-     * 
-     * @param temp
-     * @return
-     */
-    public Result parseStr(String temp) {
-        return new Result(analysisStr(temp));
-    }
-
-    /**
-     * 通过构造方法传入的reader直接获取到分词结果
-     * 
-     * @return
-     * @throws IOException
-     */
-    public Result parse() throws IOException {
-        List list = new ArrayList<>();
-        Term temp = null;
-        while ((temp = next()) != null) {
-            list.add(temp);
-        }
-        Result result = new Result(list);
-        return result;
-    }
-
-    protected abstract List getResult(Graph graph);
-
-    public abstract class Merger {
-        public abstract List merger();
-    }
-
-    /**
-     * 重置分词器
-     * 
-     * @param br
-     */
-    public void resetContent(AnsjReader br) {
-        this.offe = 0;
-        this.br = br;
-    }
-
-    public void resetContent(Reader reader) {
-        this.offe = 0;
-        this.br = new AnsjReader(reader);
-    }
-
-    public void resetContent(Reader reader, int buffer) {
-        this.offe = 0;
-        this.br = new AnsjReader(reader, buffer);
-    }
-
-    public Forest getAmbiguityForest() {
-        return ambiguityForest;
-    }
-
-    public Analysis setAmbiguityForest(Forest ambiguityForest) {
-        this.ambiguityForest = ambiguityForest;
-        return this;
-    }
-
-    public Analysis setForests(Forest... forests) {
-        this.forests = forests;
-        return this;
-    }
-
-    public Analysis setIsNameRecognition(Boolean isNameRecognition) {
-        this.isNameRecognition = isNameRecognition;
-        return this;
-    }
-
-    public Analysis setIsNumRecognition(Boolean isNumRecognition) {
-        this.isNumRecognition = isNumRecognition;
-        return this;
-    }
-
-    public Analysis setIsQuantifierRecognition(Boolean isQuantifierRecognition) {
-        this.isQuantifierRecognition = isQuantifierRecognition;
-        return this;
-    }
-
-    public Analysis setIsRealName(Boolean isRealName) {
-        this.isRealName = isRealName;
-        return this;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/GetWords.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/GetWords.java
deleted file mode 100644
index 02ca98f1b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/GetWords.java
+++ /dev/null
@@ -1,29 +0,0 @@
-package org.ansj.splitWord;
-
-public interface GetWords {
-    /**
-     * 全文全词全匹配
-     * 
-     * @param str
-     *            传入的需要分词的句子
-     * @return 返还分完词后的句子
-     */
-    public String allWords();
-
-    /**
-     * 同一个对象传入词语
-     * 
-     * @param temp
-     *            传入的句子
-     */
-    public void setStr(String temp);
-
-    /**
-     * 
-     * @return
-     */
-
-    public void setChars(char[] chars, int start, int end);
-
-    public int getOffe();
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/BaseAnalysis.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/BaseAnalysis.java
deleted file mode 100644
index c4ffe0ba1..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/BaseAnalysis.java
+++ /dev/null
@@ -1,55 +0,0 @@
-package org.ansj.splitWord.analysis;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.splitWord.Analysis;
-import org.ansj.util.AnsjReader;
-import org.ansj.util.Graph;
-
-import java.io.Reader;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * 基本的分词.只做了.ngram模型.和数字发现.其他一律不管
- * 
- * @author ansj
- * 
- */
-public class BaseAnalysis extends Analysis {
-
-    @Override
-    protected List getResult(final Graph graph) {
-        Merger merger = new Merger() {
-            @Override
-            public List merger() {
-                graph.walkPath();
-                return getResult();
-            }
-
-            private List getResult() {
-                List result = new ArrayList<>();
-                int length = graph.terms.length - 1;
-                for (int i = 0; i < length; i++) {
-                    if (graph.terms[i] != null) {
-                        result.add(graph.terms[i]);
-                    }
-                }
-
-                setRealName(graph, result);
-                return result;
-            }
-        };
-        return merger.merger();
-    }
-
-    public BaseAnalysis() {};
-
-    public BaseAnalysis(Reader reader) {
-        super.resetContent(new AnsjReader(reader));
-    }
-
-    public static Result parse(String str) {
-        return new BaseAnalysis().parseStr(str);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/DicAnalysis.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/DicAnalysis.java
deleted file mode 100644
index fc37eb19f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/DicAnalysis.java
+++ /dev/null
@@ -1,133 +0,0 @@
-package org.ansj.splitWord.analysis;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.arrimpl.AsianPersonRecognition;
-import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
-import org.ansj.recognition.arrimpl.NumRecognition;
-import org.ansj.splitWord.Analysis;
-import org.ansj.util.AnsjReader;
-import org.ansj.util.Graph;
-import org.ansj.util.NameFix;
-import org.ansj.util.TermUtil;
-import org.ansj.util.TermUtil.InsertTermType;
-import org.nlpcn.commons.lang.tire.GetWord;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-
-import java.io.Reader;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * 默认用户自定义词性优先
- * 
- * @author ansj
- *
- */
-public class DicAnalysis extends Analysis {
-
-    @Override
-    protected List getResult(final Graph graph) {
-
-        Merger merger = new Merger() {
-            @Override
-            public List merger() {
-
-                // 用户自定义词典的识别
-                userDefineRecognition(graph, forests);
-
-                graph.walkPath();
-
-                // 数字发现
-                if (isNumRecognition && graph.hasNum) {
-                    new NumRecognition().recognition(graph.terms);
-                }
-
-                // 姓名识别
-                if (graph.hasPerson && isNameRecognition) {
-                    // 亚洲人名识别
-                    new AsianPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                    NameFix.nameAmbiguity(graph.terms);
-                    // 外国人名识别
-                    new ForeignPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                }
-
-                return getResult();
-            }
-
-            private void userDefineRecognition(final Graph graph, Forest... forests) {
-
-                if (forests == null) {
-                    return;
-                }
-
-                int beginOff = graph.terms[0].getOffe();
-
-                Forest forest = null;
-                for (int i = forests.length - 1; i >= 0; i--) {
-                    forest = forests[i];
-                    if (forest == null) {
-                        continue;
-                    }
-
-                    GetWord word = forest.getWord(graph.chars);
-                    String temp = null;
-                    int tempFreq = 50;
-                    while ((temp = word.getAllWords()) != null) {
-                        if (graph.terms[word.offe] == null) {
-                            continue;
-                        }
-                        tempFreq = getInt(word.getParam()[1], 50);
-                        Term term = new Term(temp, beginOff + word.offe, word.getParam()[0], tempFreq);
-                        term.selfScore(-1 * Math.pow(Math.log(tempFreq), temp.length()));
-                        TermUtil.insertTerm(graph.terms, term, InsertTermType.REPLACE);
-                    }
-                }
-                graph.rmLittlePath();
-                graph.walkPathByScore();
-                graph.rmLittlePath();
-            }
-
-            private int getInt(String str, int def) {
-                try {
-                    return Integer.parseInt(str);
-                } catch (NumberFormatException e) {
-                    return def;
-                }
-            }
-
-            private List getResult() {
-
-                List result = new ArrayList<>();
-                int length = graph.terms.length - 1;
-                for (int i = 0; i < length; i++) {
-                    if (graph.terms[i] != null) {
-                        result.add(graph.terms[i]);
-                    }
-                }
-                setRealName(graph, result);
-
-                return result;
-            }
-        };
-        return merger.merger();
-    }
-
-    public DicAnalysis() {
-        super();
-    }
-
-    public DicAnalysis(Reader reader) {
-        super.resetContent(new AnsjReader(reader));
-    }
-
-    public static Result parse(String str) {
-        return new DicAnalysis().parseStr(str);
-    }
-
-    public static Result parse(String str, Forest... forests) {
-        return new DicAnalysis().setForests(forests).parseStr(str);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/IndexAnalysis.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/IndexAnalysis.java
deleted file mode 100644
index e3e983dd8..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/IndexAnalysis.java
+++ /dev/null
@@ -1,143 +0,0 @@
-package org.ansj.splitWord.analysis;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.arrimpl.AsianPersonRecognition;
-import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
-import org.ansj.recognition.arrimpl.NumRecognition;
-import org.ansj.recognition.arrimpl.UserDefineRecognition;
-import org.ansj.splitWord.Analysis;
-import org.ansj.util.AnsjReader;
-import org.ansj.util.Graph;
-import org.ansj.util.NameFix;
-import org.ansj.util.TermUtil.InsertTermType;
-import org.nlpcn.commons.lang.tire.GetWord;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.util.ObjConver;
-
-import java.io.Reader;
-import java.util.*;
-
-/**
- * 用于检索的分词方式
- * 
- * @author ansj
- * 
- */
-public class IndexAnalysis extends Analysis {
-
-    @Override
-    protected List getResult(final Graph graph) {
-        Merger merger = new Merger() {
-
-            @Override
-            public List merger() {
-                graph.walkPath();
-
-                // 数字发现
-                if (isNumRecognition && graph.hasNum) {
-                    new NumRecognition().recognition(graph.terms);
-                }
-
-                // 姓名识别
-                if (graph.hasPerson && isNameRecognition) {
-                    // 亚洲人名识别
-                    new AsianPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                    NameFix.nameAmbiguity(graph.terms);
-                    // 外国人名识别
-                    new ForeignPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                }
-
-                // 用户自定义词典的识别
-                userDefineRecognition(graph, forests);
-
-                return result();
-            }
-
-            private void userDefineRecognition(final Graph graph, Forest... forests) {
-                new UserDefineRecognition(InsertTermType.SKIP, forests).recognition(graph.terms);
-                graph.rmLittlePath();
-                graph.walkPathByScore();
-            }
-
-            /**
-             * 检索的分词
-             * 
-             * @return
-             */
-            private List result() {
-
-                String temp = null;
-
-                Set set = new HashSet<>();
-
-                List result = new LinkedList<>();
-                int length = graph.terms.length - 1;
-                for (int i = 0; i < length; i++) {
-                    if (graph.terms[i] != null) {
-                        result.add(graph.terms[i]);
-                        set.add(graph.terms[i].getName() + graph.terms[i].getOffe());
-                    }
-                }
-
-                LinkedList last = new LinkedList<>();
-
-                char[] chars = graph.chars;
-
-                if (forests != null) {
-                    for (Forest forest : forests) {
-                        if (forest == null) {
-                            continue;
-                        }
-                        GetWord word = forest.getWord(chars);
-                        while ((temp = word.getAllWords()) != null) {
-                            if (!set.contains(temp + word.offe)) {
-                                set.add(temp + word.offe);
-                                last.add(new Term(temp, word.offe, word.getParam(0),
-                                                ObjConver.getIntValue(word.getParam(1))));
-                            }
-                        }
-                    }
-                }
-
-                result.addAll(last);
-
-                Collections.sort(result, new Comparator() {
-
-                    @Override
-                    public int compare(Term o1, Term o2) {
-                        if (o1.getOffe() == o2.getOffe()) {
-                            return o2.getName().length() - o1.getName().length();
-                        } else {
-                            return o1.getOffe() - o2.getOffe();
-                        }
-                    }
-                });
-
-                setRealName(graph, result);
-                return result;
-            }
-        };
-
-        return merger.merger();
-    }
-
-    public IndexAnalysis() {
-        super();
-    }
-
-    public IndexAnalysis(Reader reader) {
-        super.resetContent(new AnsjReader(reader));
-    }
-
-    public static Result parse(String str) {
-        return new IndexAnalysis().parseStr(str);
-    }
-
-    public static Result parse(String str, Forest... forests) {
-        return new IndexAnalysis().setForests(forests).parseStr(str);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/NlpAnalysis.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/NlpAnalysis.java
deleted file mode 100644
index 900df8203..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/NlpAnalysis.java
+++ /dev/null
@@ -1,268 +0,0 @@
-package org.ansj.splitWord.analysis;
-
-import org.ansj.app.crf.SplitWord;
-import org.ansj.dic.LearnTool;
-import org.ansj.domain.*;
-import org.ansj.library.CrfLibrary;
-import org.ansj.recognition.arrimpl.*;
-import org.ansj.recognition.impl.NatureRecognition;
-import org.ansj.splitWord.Analysis;
-import org.ansj.util.AnsjReader;
-import org.ansj.util.Graph;
-import org.ansj.util.NameFix;
-import org.ansj.util.TermUtil;
-import org.ansj.util.TermUtil.InsertTermType;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.util.MapCount;
-import org.nlpcn.commons.lang.util.WordAlert;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.Reader;
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
-
-/**
- * 自然语言分词,具有未登录词发现功能。建议在自然语言理解中用。搜索中不要用
- * 
- * @author ansj
- * 
- */
-public class NlpAnalysis extends Analysis {
-
-    private static final Log LOG = LogFactory.getLog(NlpAnalysis.class);
-
-    private LearnTool learn = null;
-
-    private static final String TAB = "\t";
-
-    private static final int CRF_WEIGHT = 6;
-
-    private SplitWord splitWord = CrfLibrary.get();
-
-    @Override
-    protected List getResult(final Graph graph) {
-
-        Merger merger = new Merger() {
-            @Override
-            public List merger() {
-
-                if (learn == null) {
-                    learn = new LearnTool();
-                }
-
-                graph.walkPath();
-
-                learn.learn(graph, splitWord, forests);
-
-                // 姓名识别
-                if (graph.hasPerson && isNameRecognition) {
-                    // 亚洲人名识别
-                    new AsianPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                    NameFix.nameAmbiguity(graph.terms);
-                    // 外国人名识别
-                    new ForeignPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                }
-
-                if (splitWord != null) {
-                    MapCount mc = new MapCount<>();
-
-                    // 通过crf分词
-                    List words = splitWord.cut(graph.chars);
-
-                    Term tempTerm = null;
-
-                    int tempOff = 0;
-
-                    if (!words.isEmpty()) {
-                        String word = words.get(0);
-                        if (!isRuleWord(word)) {
-                            mc.add("始##始" + TAB + word, CRF_WEIGHT);
-                        }
-                    }
-
-                    for (String word : words) {
-
-                        TermNatures termNatures = new NatureRecognition(forests).getTermNatures(word); // 尝试从词典获取词性
-
-                        Term term = null;
-
-                        if (termNatures != TermNatures.NULL) {
-                            term = new Term(word, tempOff, termNatures);
-                        } else {
-                            term = new Term(word, tempOff, TermNatures.NW);
-                            term.setNewWord(true);
-                        }
-
-                        tempOff += word.length(); // 增加偏移量
-                        if (isRuleWord(word)) { // 如果word不对那么不要了
-                            tempTerm = null;
-                            continue;
-                        }
-
-                        if (term.isNewWord()) { // 尝试猜测词性
-                            termNatures = NatureRecognition.guessNature(word);
-                            term.updateTermNaturesAndNature(termNatures);
-                        }
-
-                        TermUtil.insertTerm(graph.terms, term, InsertTermType.SCORE_ADD_SORT);
-
-                        // 对于非词典中的词持有保守态度
-                        if (tempTerm != null && !tempTerm.isNewWord() && !term.isNewWord()) {
-                            mc.add(tempTerm.getName() + TAB + word, CRF_WEIGHT);
-                        }
-
-                        tempTerm = term;
-
-                        if (term.isNewWord()) {
-                            learn.addTerm(new NewWord(word, Nature.NW));
-                        }
-
-                    }
-
-                    if (tempTerm != null && !tempTerm.isNewWord()) {
-                        mc.add(tempTerm.getName() + TAB + "末##末", CRF_WEIGHT);
-                    }
-                    graph.walkPath(mc.get());
-                } else {
-                    LOG.warn("not find any crf model, make sure your config right? ");
-                }
-
-                // 数字发现
-                if (graph.hasNum && isNumRecognition) {
-                    new NumRecognition().recognition(graph.terms);
-                }
-
-                // 词性标注
-                List result = getResult();
-
-                // 用户自定义词典的识别
-                new UserDefineRecognition(InsertTermType.SCORE_ADD_SORT, forests).recognition(graph.terms);
-                graph.rmLittlePath();
-                graph.walkPathByScore();
-
-                // 进行新词发现
-                new NewWordRecognition(learn).recognition(graph.terms);
-                graph.walkPathByScore();
-
-                // 优化后重新获得最优路径
-                result = getResult();
-
-                // 激活辞典
-                for (Term term : result) {
-                    learn.active(term.getName());
-                }
-
-                setRealName(graph, result);
-
-                return result;
-            }
-
-            private List getResult() {
-
-                List result = new ArrayList<>();
-                int length = graph.terms.length - 1;
-                for (int i = 0; i < length; i++) {
-                    if (graph.terms[i] == null) {
-                        continue;
-                    }
-                    result.add(graph.terms[i]);
-                }
-                return result;
-            }
-        };
-        return merger.merger();
-    }
-
-    // 临时处理新词中的特殊字符
-    private static final Set filter = new HashSet<>();
-
-    static {
-        filter.add(':');
-        filter.add(' ');
-        filter.add('：');
-        filter.add('　');
-        filter.add('，');
-        filter.add('”');
-        filter.add('“');
-        filter.add('？');
-        filter.add('。');
-        filter.add('！');
-        filter.add('。');
-        filter.add(',');
-        filter.add('.');
-        filter.add('、');
-        filter.add('\\');
-        filter.add('；');
-        filter.add(';');
-        filter.add('？');
-        filter.add('?');
-        filter.add('!');
-        filter.add('\"');
-        filter.add('（');
-        filter.add('）');
-        filter.add('(');
-        filter.add(')');
-        filter.add('…');
-        filter.add('…');
-        filter.add('—');
-        filter.add('-');
-        filter.add('－');
-
-        filter.add('—');
-        filter.add('《');
-        filter.add('》');
-
-    }
-
-    /**
-     * 判断新词识别出来的词是否可信
-     * 
-     * @param word
-     * @return
-     */
-    public static boolean isRuleWord(String word) {
-        char c = 0;
-        for (int i = 0; i < word.length(); i++) {
-            c = word.charAt(i);
-
-            if (c != '·') {
-                if (c < 256 || filter.contains(c) || (c = WordAlert.CharCover(word.charAt(i))) > 0) {
-                    return true;
-                }
-            }
-        }
-        return false;
-    }
-
-    public NlpAnalysis setCrfModel(SplitWord splitWord) {
-        this.splitWord = splitWord;
-        return this;
-    }
-
-    public NlpAnalysis setLearnTool(LearnTool learn) {
-        this.learn = learn;
-        return this;
-    }
-
-    public NlpAnalysis() {
-        super();
-    }
-
-    public NlpAnalysis(Reader reader) {
-        super.resetContent(new AnsjReader(reader));
-    }
-
-    public static Result parse(String str) {
-        return new NlpAnalysis().parseStr(str);
-    }
-
-    public static Result parse(String str, Forest... forests) {
-        return new NlpAnalysis().setForests(forests).parseStr(str);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/ToAnalysis.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/ToAnalysis.java
deleted file mode 100644
index ea3c39bab..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/analysis/ToAnalysis.java
+++ /dev/null
@@ -1,96 +0,0 @@
-package org.ansj.splitWord.analysis;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.recognition.arrimpl.AsianPersonRecognition;
-import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
-import org.ansj.recognition.arrimpl.NumRecognition;
-import org.ansj.recognition.arrimpl.UserDefineRecognition;
-import org.ansj.splitWord.Analysis;
-import org.ansj.util.AnsjReader;
-import org.ansj.util.Graph;
-import org.ansj.util.NameFix;
-import org.ansj.util.TermUtil.InsertTermType;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-
-import java.io.Reader;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * 标准分词
- * 
- * @author ansj
- * 
- */
-public class ToAnalysis extends Analysis {
-
-    @Override
-    protected List getResult(final Graph graph) {
-
-        Merger merger = new Merger() {
-            @Override
-            public List merger() {
-
-                graph.walkPath();
-
-                // 数字发现
-                if (isNumRecognition && graph.hasNum) {
-                    new NumRecognition().recognition(graph.terms);
-                }
-
-                // 姓名识别
-                if (graph.hasPerson && isNameRecognition) {
-                    // 亚洲人名识别
-                    new AsianPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                    NameFix.nameAmbiguity(graph.terms);
-                    // 外国人名识别
-                    new ForeignPersonRecognition().recognition(graph.terms);
-                    graph.walkPathByScore();
-                }
-
-                // 用户自定义词典的识别
-                userDefineRecognition(graph, forests);
-
-                return getResult();
-            }
-
-            private void userDefineRecognition(final Graph graph, Forest... forests) {
-                new UserDefineRecognition(InsertTermType.SKIP, forests).recognition(graph.terms);
-                graph.rmLittlePath();
-                graph.walkPathByScore();
-            }
-
-            private List getResult() {
-                List result = new ArrayList<>();
-                int length = graph.terms.length - 1;
-                for (int i = 0; i < length; i++) {
-                    if (graph.terms[i] != null) {
-                        result.add(graph.terms[i]);
-                    }
-                }
-                setRealName(graph, result);
-                return result;
-            }
-        };
-        return merger.merger();
-    }
-
-    public ToAnalysis() {
-        super();
-    }
-
-    public ToAnalysis(Reader reader) {
-        super.resetContent(new AnsjReader(reader));
-    }
-
-    public static Result parse(String str) {
-        return new ToAnalysis().parseStr(str);
-    }
-
-    public static Result parse(String str, Forest... forests) {
-        return new ToAnalysis().setForests(forests).parseStr(str);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/impl/GetWordsImpl.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/impl/GetWordsImpl.java
deleted file mode 100644
index 346ee63d3..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/splitWord/impl/GetWordsImpl.java
+++ /dev/null
@@ -1,129 +0,0 @@
-package org.ansj.splitWord.impl;
-
-import org.ansj.domain.AnsjItem;
-import org.ansj.library.DATDictionary;
-import org.ansj.splitWord.GetWords;
-
-public class GetWordsImpl implements GetWords {
-
-    /**
-     * offe : 当前词的偏移量
-     */
-    public int offe;
-
-    /**
-     * 构造方法，同时加载词典,传入词语相当于同时调用了setStr() ;
-     */
-    public GetWordsImpl(String str) {
-        setStr(str);
-    }
-
-    /**
-     * 构造方法，同时加载词典
-     */
-    public GetWordsImpl() {}
-
-    int charsLength = 0;
-
-    @Override
-    public void setStr(String str) {
-        setChars(str.toCharArray(), 0, str.length());
-    }
-
-    @Override
-    public void setChars(char[] chars, int start, int end) {
-        this.chars = chars;
-        i = start;
-        this.start = start;
-        charsLength = end;
-        checkValue = 0;
-    }
-
-    public char[] chars;
-    private int charHashCode;
-    private int start = 0;
-    public int end = 0;
-    private int baseValue = 0;
-    private int checkValue = 0;
-    private int tempBaseValue = 0;
-    public int i = 0;
-    private String str = null;
-
-    @Override
-    public String allWords() {
-        for (; i < charsLength; i++) {
-            charHashCode = chars[i];
-            end++;
-            switch (getStatement()) {
-                case 0:
-                    if (baseValue == chars[i]) {
-                        str = String.valueOf(chars[i]);
-                        offe = i;
-                        start = ++i;
-                        end = 0;
-                        baseValue = 0;
-                        tempBaseValue = baseValue;
-                        return str;
-                    } else {
-                        int startCharStatus = DATDictionary.getItem(chars[start]).getStatus();
-                        if (startCharStatus == 1) { //如果start的词的status为1，则将start设为i；否则start加1
-                            start = i;
-                            i--;
-                            end = 0;
-                            baseValue = 0;
-                        } else {
-                            i = start;
-                            start++;
-                            end = 0;
-                            baseValue = 0;
-                        }
-                        break;
-                    }
-                case 2:
-                    i++;
-                    offe = start;
-                    tempBaseValue = baseValue;
-                    return DATDictionary.getItem(tempBaseValue).getName();
-                case 3:
-                    offe = start;
-                    start++;
-                    i = start;
-                    end = 0;
-                    tempBaseValue = baseValue;
-                    baseValue = 0;
-                    return DATDictionary.getItem(tempBaseValue).getName();
-            }
-
-        }
-        end = 0;
-        baseValue = 0;
-        i = 0;
-        return null;
-    }
-
-    /**
-     * 根据用户传入的c得到单词的状态. 0.代表这个字不在词典中 1.继续 2.是个词但是还可以继续 3.停止已经是个词了
-     * 
-     * @param c
-     * @return
-     */
-    private int getStatement() {
-        checkValue = baseValue;
-        baseValue = DATDictionary.getItem(checkValue).getBase() + charHashCode;
-        if (baseValue < DATDictionary.arrayLength && (DATDictionary.getItem(baseValue).getCheck() == checkValue
-                        || DATDictionary.getItem(baseValue).getCheck() == -1)) {
-            return DATDictionary.getItem(baseValue).getStatus();
-        }
-        return 0;
-    }
-
-    public AnsjItem getItem() {
-        return DATDictionary.getItem(tempBaseValue);
-    }
-
-    @Override
-    public int getOffe() {
-        return offe;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/AnsjReader.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/AnsjReader.java
deleted file mode 100644
index 7890153f6..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/AnsjReader.java
+++ /dev/null
@@ -1,220 +0,0 @@
-package org.ansj.util;
-
-import java.io.IOException;
-import java.io.Reader;
-
-/**
- * 我又剽窃了下jdk...职业嫖客 为了效率这个流的操作是不支持多线程的,要么就是长时间不写这种东西了。发现好费劲啊 这个reader的特点。。只会输入
- * 句子不会输出\r\n .会有一个start来记录当前返回字符串。起始偏移量
- * 
- * @author ansj
- * 
- */
-public class AnsjReader extends Reader {
-
-    private Reader in;
-
-    private char cb[];
-
-    private static int defaultCharBufferSize = 8192;
-
-    /**
-     * Creates a buffering character-input stream that uses an input buffer of
-     * the specified size.
-     * 
-     * @param in
-     *            A Reader
-     * @param sz
-     *            Input-buffer size
-     * 
-     * @exception IllegalArgumentException
-     *                If {@code sz <= 0}
-     */
-    public AnsjReader(Reader in, int sz) {
-        super(in);
-        if (sz <= 0)
-            throw new IllegalArgumentException("Buffer size <= 0");
-        this.in = in;
-        cb = new char[sz];
-    }
-
-    /**
-     * Creates a buffering character-input stream that uses a default-sized
-     * input buffer.
-     * 
-     * @param in
-     *            A Reader
-     */
-    public AnsjReader(Reader in) {
-        this(in, defaultCharBufferSize);
-    }
-
-    /** Checks to make sure that the stream has not been closed */
-    private void ensureOpen() throws IOException {
-        if (in == null)
-            throw new IOException("Stream closed");
-    }
-
-    /**
-     * 为了功能的单一性我还是不实现了
-     */
-    @Override
-    public int read(char cbuf[], int off, int len) throws IOException {
-        throw new IOException("AnsjBufferedReader not support this interface! ");
-    }
-
-    private int start = 0;
-    private int tempStart = 0;
-
-    /**
-     * 读取一行数据。ps 读取结果会忽略 \n \r
-     */
-    public String readLine() throws IOException {
-
-        ensureOpen();
-
-        StringBuilder sb = null;
-
-        start = tempStart;
-
-        firstRead = true;
-
-        while (true) {
-
-            tempLen = 0;
-            ok = false;
-
-            readString();
-            // if (tempLen != 0)
-            // System.out.println(new String(cb, tempOffe, tempLen));
-
-            if (!isRead && (tempLen == 0 || len == 0)) {
-                if (sb != null) {
-                    return sb.toString();
-                }
-                return null;
-            }
-
-            if (!isRead) { // 如果不是需要读状态，那么返回
-                tempStart += tempLen;
-                if (sb == null) {
-                    return new String(cb, tempOffe, tempLen);
-                } else {
-                    sb.append(cb, tempOffe, tempLen);
-                    return sb.toString();
-                }
-            }
-
-            if (tempLen == 0) {
-                continue;
-            }
-
-            // 如果是需要读状态那么读取
-            if (sb == null) {
-                sb = new StringBuilder();
-            }
-            sb.append(cb, tempOffe, tempLen);
-            tempStart += tempLen;
-        }
-
-    }
-
-    int offe = 0;
-    int len = 0;
-
-    boolean isRead = false;
-    boolean ok = false;
-    boolean firstRead = true;
-
-    int tempOffe;
-    int tempLen;
-
-    private void readString() throws IOException {
-
-        if (offe <= 0) {
-            if (offe == -1) {
-                isRead = false;
-                return;
-            }
-
-            len = in.read(cb);
-            if (len <= 0) { // 说明到结尾了
-                isRead = false;
-                return;
-            }
-        }
-
-        isRead = true;
-
-        char c = 0;
-        int i = offe;
-        for (; i < len; i++) {
-            c = cb[i];
-            if (c != '\r' && c != '\n') {
-                break;
-            }
-            if (!firstRead) {
-                i++;
-                tempStart++;
-                offe = i;
-                tempOffe = offe;
-                isRead = false;
-                return;
-            }
-            tempStart++;
-            start++;
-        }
-
-        if (i == len) {
-            isRead = true;
-            offe = 0;
-            return;
-        }
-
-        firstRead = false;
-
-        offe = i;
-
-        for (; i < len; i++) {
-            c = cb[i];
-            if (c == '\n' || c == '\r') {
-                isRead = false;
-                break;
-            }
-        }
-
-        tempOffe = offe;
-        tempLen = i - offe;
-
-        if (i == len) {
-            if (len < cb.length) { // 说明到结尾了
-                isRead = false;
-                offe = -1;
-            } else {
-                offe = 0;
-            }
-        } else {
-            offe = i;
-        }
-
-    }
-
-    @Override
-    public void close() throws IOException {
-        synchronized (lock) {
-            if (in == null)
-                return;
-            try {
-                in.close();
-            } finally {
-                in = null;
-                cb = null;
-            }
-        }
-    }
-
-    public int getStart() {
-        return this.start;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/Graph.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/Graph.java
deleted file mode 100644
index e90eafa00..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/Graph.java
+++ /dev/null
@@ -1,352 +0,0 @@
-package org.ansj.util;
-
-import org.ansj.domain.AnsjItem;
-import org.ansj.domain.Term;
-import org.ansj.domain.TermNatures;
-import org.ansj.library.DATDictionary;
-import org.ansj.splitWord.Analysis.Merger;
-import org.ansj.util.TermUtil.InsertTermType;
-
-import java.util.List;
-import java.util.Map;
-
-/**
- * 最短路径
- * 
- * @author ansj
- * 
- */
-public class Graph {
-    public char[] chars = null;
-    public String realStr = null;
-    public Term[] terms = null;
-    protected Term end = null;
-    protected Term root = null;
-    protected static final String E = "末##末";
-    protected static final String B = "始##始";
-    // 是否有人名
-    public boolean hasPerson;
-    // 是否有数字
-    public boolean hasNum;
-
-    // 是否需有歧异
-
-    public Graph(String str) {
-        realStr = str;
-        this.chars = str.toCharArray();
-        terms = new Term[chars.length + 1];
-        end = new Term(E, chars.length, AnsjItem.END);
-        root = new Term(B, -1, AnsjItem.BEGIN);
-        terms[chars.length] = end;
-    }
-
-    /**
-     * 构建最优路径
-     */
-    public List getResult(Merger merger) {
-        return merger.merger();
-    }
-
-    /**
-     * 增加一个词语到图中
-     * 
-     * @param term
-     */
-    public void addTerm(Term term) {
-        // 是否有数字
-        if (!hasNum && term.termNatures().numAttr.numFreq > 0) {
-            hasNum = true;
-        }
-        // 是否有人名
-        if (!hasPerson && term.termNatures().personAttr.flag) {
-            hasPerson = true;
-        }
-        TermUtil.insertTerm(terms, term, InsertTermType.REPLACE);
-
-    }
-
-    /**
-     * 取得最优路径的root Term
-     * 
-     * @return
-     */
-    protected Term optimalRoot() {
-        Term to = end;
-        to.clearScore();
-        Term from = null;
-        while ((from = to.from()) != null) {
-            for (int i = from.getOffe() + 1; i < to.getOffe(); i++) {
-                terms[i] = null;
-            }
-            if (from.getOffe() > -1) {
-                terms[from.getOffe()] = from;
-            }
-            // 断开横向链表.节省内存
-            from.setNext(null);
-            from.setTo(to);
-            from.clearScore();
-            to = from;
-        }
-        return root;
-    }
-
-    /**
-     * 删除最短的节点
-     */
-    public void rmLittlePath() {
-        int maxTo = -1;
-        Term temp = null;
-        Term maxTerm = null;
-        // 是否有交叉
-        boolean flag = false;
-        final int length = terms.length - 1;
-        for (int i = 0; i < length; i++) {
-            maxTerm = getMaxTerm(i);
-            if (maxTerm == null)
-                continue;
-
-            maxTo = maxTerm.toValue();
-
-            /**
-             * 对字数进行优化.如果一个字.就跳过..两个字.且第二个为null则.也跳过.从第二个后开始
-             */
-            switch (maxTerm.getName().length()) {
-                case 1:
-                    continue;
-                case 2:
-                    if (terms[i + 1] == null) {
-                        i = i + 1;
-                        continue;
-                    }
-            }
-
-            /**
-             * 判断是否有交叉
-             */
-            for (int j = i + 1; j < maxTo; j++) {
-                temp = getMaxTerm(j);
-                if (temp == null) {
-                    continue;
-                }
-                if (maxTo < temp.toValue()) {
-                    maxTo = temp.toValue();
-                    flag = true;
-                }
-            }
-
-            if (flag) {
-                i = maxTo - 1;
-                flag = false;
-            } else {
-                maxTerm.setNext(null);
-                terms[i] = maxTerm;
-                for (int j = i + 1; j < maxTo; j++) {
-                    terms[j] = null;
-                }
-                // FIXME: 这里理论上得设置。但是跑了这么久，还不发生错误。应该是不依赖于双向链接。需要确认下。这段代码是否有用
-                // //将下面的to的from设置回来
-                // temp = terms[i+maxTerm.getName().length()] ;
-                // do{
-                // temp.setFrom(maxTerm) ;
-                // }while((temp=temp.next())!=null) ;
-
-            }
-        }
-    }
-
-    /**
-     * 得道最到本行最大term,也就是最右面的term
-     * 
-     * @param i
-     * @return
-     */
-    private Term getMaxTerm(int i) {
-        Term maxTerm = terms[i];
-        if (maxTerm == null) {
-            return null;
-        }
-        Term term = maxTerm;
-        while ((term = term.next()) != null) {
-            maxTerm = term;
-        }
-        return maxTerm;
-    }
-
-    /**
-     * 删除无意义的节点,防止viterbi太多
-     */
-    public void rmLittleSinglePath() {
-        int maxTo = -1;
-        Term temp = null;
-        for (int i = 0; i < terms.length; i++) {
-            if (terms[i] == null)
-                continue;
-            maxTo = terms[i].toValue();
-            if (maxTo - i == 1 || i + 1 == terms.length)
-                continue;
-            for (int j = i; j < maxTo; j++) {
-                temp = terms[j];
-                if (temp != null && temp.toValue() <= maxTo && temp.getName().length() == 1) {
-                    terms[j] = null;
-                }
-            }
-        }
-    }
-
-    /**
-     * 删除小节点。保证被删除的小节点的单个分数小于等于大节点的分数
-     */
-    public void rmLittlePathByScore() {
-        int maxTo = -1;
-        Term temp = null;
-        for (int i = 0; i < terms.length; i++) {
-            if (terms[i] == null) {
-                continue;
-            }
-            Term maxTerm = null;
-            double maxScore = 0;
-            Term term = terms[i];
-            // 找到自身分数对大最长的
-
-            do {
-                if (maxTerm == null || maxScore > term.score()) {
-                    maxTerm = term;
-                } else if (maxScore == term.score() && maxTerm.getName().length() < term.getName().length()) {
-                    maxTerm = term;
-                }
-
-            } while ((term = term.next()) != null);
-            term = maxTerm;
-            do {
-                maxTo = term.toValue();
-                maxScore = term.score();
-                if (maxTo - i == 1 || i + 1 == terms.length)
-                    continue;
-                boolean flag = true;// 可以删除
-                out: for (int j = i; j < maxTo; j++) {
-                    temp = terms[j];
-                    if (temp == null) {
-                        continue;
-                    }
-                    do {
-                        if (temp.toValue() > maxTo || temp.score() < maxScore) {
-                            flag = false;
-                            break out;
-                        }
-                    } while ((temp = temp.next()) != null);
-                }
-                // 验证通过可以删除了
-                if (flag) {
-                    for (int j = i + 1; j < maxTo; j++) {
-                        terms[j] = null;
-                    }
-                }
-            } while ((term = term.next()) != null);
-        }
-    }
-
-    public void walkPathByScore() {
-        Term term = null;
-        // BEGIN先行打分
-        mergerByScore(root, 0);
-        // 从第一个词开始往后打分
-        for (int i = 0; i < terms.length; i++) {
-            term = terms[i];
-            while (term != null && term.from() != null && term != end) {
-                int to = term.toValue();
-                mergerByScore(term, to);
-                term = term.next();
-            }
-        }
-        optimalRoot();
-    }
-
-    public void walkPath() {
-        walkPath(null);
-    }
-
-    /**
-     * 干涉性增加相对权重
-     * 
-     * @param relationMap
-     */
-    public void walkPath(Map relationMap) {
-        Term term = null;
-        // BEGIN先行打分
-        merger(root, 0, relationMap);
-        // 从第一个词开始往后打分
-        for (int i = 0; i < terms.length; i++) {
-            term = terms[i];
-            while (term != null && term.from() != null && term != end) {
-                int to = term.toValue();
-                merger(term, to, relationMap);
-                term = term.next();
-            }
-        }
-        optimalRoot();
-    }
-
-    /**
-     * 具体的遍历打分方法
-     * 
-     * @param i 起始位置
-     * @param j 起始属性
-     * @param to
-     */
-    private void merger(Term fromTerm, int to, Map relationMap) {
-        Term term = null;
-        if (terms[to] != null) {
-            term = terms[to];
-            while (term != null) {
-                // 关系式to.set(from)
-                term.setPathScore(fromTerm, relationMap);
-                term = term.next();
-            }
-        } else {
-            char c = chars[to];
-            TermNatures tn = DATDictionary.getItem(c).termNatures;
-            if (tn == null || tn == TermNatures.NULL) {
-                tn = TermNatures.NULL;
-            }
-            terms[to] = new Term(String.valueOf(c), to, tn);
-            terms[to].setPathScore(fromTerm, relationMap);
-        }
-    }
-
-    /**
-     * 根据分数
-     * 
-     * @param i 起始位置
-     * @param j 起始属性
-     * @param to
-     */
-    private void mergerByScore(Term fromTerm, int to) {
-        Term term = null;
-        if (terms[to] != null) {
-            term = terms[to];
-            while (term != null) {
-                // 关系式to.set(from)
-                term.setPathSelfScore(fromTerm);
-                term = term.next();
-            }
-        }
-
-    }
-
-    /**
-     * 对graph进行调试用的
-     */
-    public void printGraph() {
-        for (Term term : terms) {
-            if (term == null) {
-                continue;
-            }
-            System.out.print(term.getName() + "\t" + term.score() + " ,");
-            while ((term = term.next()) != null) {
-                System.out.print(term + "\t" + term.score() + " ,");
-            }
-            System.out.println();
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MathUtil.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MathUtil.java
deleted file mode 100644
index 29608600e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MathUtil.java
+++ /dev/null
@@ -1,88 +0,0 @@
-package org.ansj.util;
-
-import org.ansj.domain.Term;
-import org.ansj.library.NatureLibrary;
-import org.ansj.library.NgramLibrary;
-import org.ansj.recognition.impl.NatureRecognition.NatureTerm;
-
-import java.util.Map;
-
-public class MathUtil {
-
-    // 平滑参数
-    private static final double D_SMOOTHING_PARA = 0.1;
-    // 分隔符我最喜欢的
-    private static final String TAB = "\t";
-    // 一个参数
-    private static final int MAX_FREQUENCE = 2079997;// 7528283+329805;
-    // Two linked Words frequency
-    private static final double D_TEMP = (double) 1 / MAX_FREQUENCE;
-
-    /**
-     * 从一个词的词性到另一个词的词的分数
-     * 
-     * @param form
-     *            前面的词
-     * @param to
-     *            后面的词
-     * @return 分数
-     */
-    public static double compuScore(Term from, Term to, Map relationMap) {
-        double frequency = from.termNatures().allFreq + 1;
-
-        if (frequency < 0) {
-            double score = from.score() + MAX_FREQUENCE;
-            from.score(score);
-            return score;
-        }
-
-        double nTwoWordsFreq = NgramLibrary.getTwoWordFreq(from, to);
-
-        if (relationMap != null) {
-            Double d = relationMap.get(from.getName() + TAB + to.getName());
-            if (d != null) {
-                nTwoWordsFreq += d;
-            }
-        }
-
-        double value = -Math.log(D_SMOOTHING_PARA * frequency / (MAX_FREQUENCE + 80000)
-                        + (1 - D_SMOOTHING_PARA) * ((1 - D_TEMP) * nTwoWordsFreq / frequency + D_TEMP));
-
-        if (value < 0) {
-            value += frequency;
-        }
-        return from.score() + value;
-    }
-
-    /**
-     * 词性词频词长.计算出来一个分数
-     * 
-     * @param from
-     * @param term
-     * @return
-     */
-    public static double compuScoreFreq(Term from, Term term) {
-        return from.termNatures().allFreq + term.termNatures().allFreq;
-    }
-
-    /**
-     * 两个词性之间的分数计算
-     * 
-     * @param from
-     * @param to
-     * @return
-     */
-    public static double compuNatureFreq(NatureTerm from, NatureTerm to) {
-        double twoWordFreq = NatureLibrary.getTwoNatureFreq(from.termNature.nature, to.termNature.nature);
-        if (twoWordFreq == 0) {
-            twoWordFreq = Math.log(from.selfScore + to.selfScore);
-        }
-        double score = from.score + Math.log((from.selfScore + to.selfScore) * twoWordFreq) + to.selfScore;
-        return score;
-    }
-
-    public static void main(String[] args) {
-        System.out.println(Math.log(D_TEMP * 2));
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MatrixUtil.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MatrixUtil.java
deleted file mode 100644
index 049a18ff7..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MatrixUtil.java
+++ /dev/null
@@ -1,60 +0,0 @@
-package org.ansj.util;
-
-public class MatrixUtil {
-
-    /**
-     * 向量求和
-     * 
-     * @param dbs
-     * @return
-     */
-    public static double sum(double[] dbs) {
-        double value = 0;
-        for (double d : dbs) {
-            value += d;
-        }
-        return value;
-    }
-
-    public static int sum(int[] dbs) {
-        int value = 0;
-        for (int d : dbs) {
-            value += d;
-        }
-        return value;
-    }
-
-    public static double sum(double[][] w) {
-
-        double value = 0;
-        for (double[] dbs : w) {
-            value += sum(dbs);
-        }
-        return value;
-    }
-
-    public static void dot(double[] feature, double[] feature1) {
-        if (feature1 == null) {
-            return;
-        }
-        for (int i = 0; i < feature1.length; i++) {
-            feature[i] += feature1[i];
-        }
-    }
-
-    public static void dot(float[] feature, float[] feature1) {
-        if (feature1 == null) {
-            return;
-        }
-
-        if (feature == null) {
-            return;
-        }
-
-        int min = Math.min(feature.length, feature1.length);
-
-        for (int i = 0; i < min; i++) {
-            feature[i] += feature1[i];
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MyStaticValue.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MyStaticValue.java
deleted file mode 100644
index c97b5a4cf..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/MyStaticValue.java
+++ /dev/null
@@ -1,369 +0,0 @@
-package org.ansj.util;
-
-import org.ansj.app.crf.SplitWord;
-import org.ansj.dic.DicReader;
-import org.ansj.dic.impl.Jdbc2Stream;
-import org.ansj.domain.AnsjItem;
-import org.ansj.exception.LibraryException;
-import org.ansj.library.*;
-import org.ansj.recognition.impl.StopRecognition;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.tire.domain.SmartForest;
-import org.nlpcn.commons.lang.util.FileFinder;
-import org.nlpcn.commons.lang.util.IOUtil;
-import org.nlpcn.commons.lang.util.ObjConver;
-import org.nlpcn.commons.lang.util.StringUtil;
-import org.nlpcn.commons.lang.util.logging.Log;
-import org.nlpcn.commons.lang.util.logging.LogFactory;
-
-import java.io.*;
-import java.lang.reflect.Field;
-import java.util.HashMap;
-import java.util.Map;
-import java.util.PropertyResourceBundle;
-import java.util.ResourceBundle;
-
-/**
- * 这个类储存一些公用变量.
- * 
- * @author ansj
- * 
- */
-public class MyStaticValue {
-
-    public static final Log LOG = LogFactory.getLog(MyStaticValue.class);
-
-    // 是否开启人名识别
-    public static Boolean isNameRecognition = true;
-
-    // 是否开启数字识别
-    public static Boolean isNumRecognition = true;
-
-    // 是否数字和量词合并
-    public static Boolean isQuantifierRecognition = true;
-
-    // 是否显示真实词语
-    public static Boolean isRealName = false;
-
-    /**
-     * 是否用户辞典不加载相同的词
-     */
-    public static boolean isSkipUserDefine = false;
-
-    public static final Map ENV = new HashMap<>();
-
-    static {
-        /**
-         * 配置文件变量
-         */
-        ResourceBundle rb = null;
-        try {
-            rb = ResourceBundle.getBundle("ansj_library");
-        } catch (Exception e) {
-            try {
-                File find = FileFinder.find("ansj_library.properties", 1);
-                if (find != null && find.isFile()) {
-                    rb = new PropertyResourceBundle(
-                                    IOUtil.getReader(find.getAbsolutePath(), System.getProperty("file.encoding")));
-                    LOG.info("load ansj_library not find in classPath ! i find it in " + find.getAbsolutePath()
-                                    + " make sure it is your config!");
-                }
-            } catch (Exception e1) {
-                LOG.warn("not find ansj_library.properties. reason: " + e1.getMessage());
-            }
-        }
-
-        if (rb == null) {
-            try {
-                rb = ResourceBundle.getBundle("library");
-            } catch (Exception e) {
-                try {
-                    File find = FileFinder.find("library.properties", 2);
-                    if (find != null && find.isFile()) {
-                        rb = new PropertyResourceBundle(
-                                        IOUtil.getReader(find.getAbsolutePath(), System.getProperty("file.encoding")));
-                        LOG.info("load library not find in classPath ! i find it in " + find.getAbsolutePath()
-                                        + " make sure it is your config!");
-                    }
-                } catch (Exception e1) {
-                    LOG.warn("not find library.properties. reason: " + e1.getMessage());
-                }
-            }
-        }
-
-        if (rb == null) {
-            LOG.warn("not find library.properties in classpath use it by default !");
-        } else {
-
-            for (String key : rb.keySet()) {
-                ENV.put(key, rb.getString(key));
-                try {
-                    String value = rb.getString(key);
-                    if (value.startsWith("jdbc:")) { //给jdbc窜中密码做一个加密,不让密码明文在日志中
-                        value = Jdbc2Stream.encryption(value);
-                    }
-                    LOG.info("init " + key + " to env value is : " + value);
-                    Field field = MyStaticValue.class.getField(key);
-                    field.set(null, ObjConver.conversion(rb.getString(key), field.getType()));
-                } catch (Exception e) {
-                }
-            }
-
-        }
-    }
-
-    /**
-     * 人名词典
-     * 
-     * @return
-     */
-    public static BufferedReader getPersonReader() {
-        return DicReader.getReader("person/person.dic");
-    }
-
-    /**
-     * 机构名词典
-     * 
-     * @return
-     */
-    public static BufferedReader getCompanReader() {
-        return DicReader.getReader("company/company.data");
-    }
-
-    /**
-     * 机构名词典
-     * 
-     * @return
-     */
-    public static BufferedReader getNewWordReader() {
-        return DicReader.getReader("newWord/new_word_freq.dic");
-    }
-
-    /**
-     * 核心词典
-     * 
-     * @return
-     */
-    public static BufferedReader getArraysReader() {
-        return DicReader.getReader("arrays.dic");
-    }
-
-    /**
-     * 数字词典
-     * 
-     * @return
-     */
-    public static BufferedReader getNumberReader() {
-        return DicReader.getReader("numberLibrary.dic");
-    }
-
-    /**
-     * 英文词典
-     * 
-     * @return
-     */
-    public static BufferedReader getEnglishReader() {
-        return DicReader.getReader("englishLibrary.dic");
-    }
-
-    /**
-     * 词性表
-     * 
-     * @return
-     */
-    public static BufferedReader getNatureMapReader() {
-        return DicReader.getReader("nature/nature.map");
-    }
-
-    /**
-     * 词性关联表
-     * 
-     * @return
-     */
-    public static BufferedReader getNatureTableReader() {
-        return DicReader.getReader("nature/nature.table");
-    }
-
-    /**
-     * 得道姓名单字的词频词典
-     * 
-     * @return
-     */
-    public static BufferedReader getNatureClassSuffix() {
-        return DicReader.getReader("nature_class_suffix.txt");
-    }
-
-    /**
-     * 根据词语后缀判断词性
-     * 
-     * @return
-     */
-    public static BufferedReader getPersonFreqReader() {
-        return DicReader.getReader("person/name_freq.dic");
-    }
-
-    /**
-     * 名字词性对象反序列化
-     * 
-     * @return
-     */
-    @SuppressWarnings("unchecked")
-    public static Map getPersonFreqMap() {
-        Map map = new HashMap<>(0);
-        try (InputStream inputStream = DicReader.getInputStream("person/asian_name_freq.data")) {
-            ObjectInputStream objectInputStream = new ObjectInputStream(inputStream);
-            map = (Map) objectInputStream.readObject();
-        } catch (IOException e) {
-            LOG.warn("IO异常", e);
-        } catch (ClassNotFoundException e) {
-            LOG.warn("找不到类", e);
-        }
-        return map;
-    }
-
-    /**
-     * 词与词之间的关联表数据
-     * 
-     * @return
-     */
-    public static void initBigramTables() {
-        try (BufferedReader reader = IOUtil.getReader(DicReader.getInputStream("bigramdict.dic"), "UTF-8")) {
-            String temp = null;
-            String[] strs = null;
-            int freq = 0;
-            while ((temp = reader.readLine()) != null) {
-                if (StringUtil.isBlank(temp)) {
-                    continue;
-                }
-                strs = temp.split("\t");
-                freq = Integer.parseInt(strs[1]);
-                strs = strs[0].split("@");
-                AnsjItem fromItem = DATDictionary.getItem(strs[0]);
-
-                AnsjItem toItem = DATDictionary.getItem(strs[1]);
-
-                if (fromItem == AnsjItem.NULL && strs[0].contains("#")) {
-                    fromItem = AnsjItem.BEGIN;
-                }
-
-                if (toItem == AnsjItem.NULL && strs[1].contains("#")) {
-                    toItem = AnsjItem.END;
-                }
-
-                if (fromItem == AnsjItem.NULL || toItem == AnsjItem.NULL) {
-                    continue;
-                }
-
-                if (fromItem.bigramEntryMap == null) {
-                    fromItem.bigramEntryMap = new HashMap();
-                }
-
-                fromItem.bigramEntryMap.put(toItem.getIndex(), freq);
-
-            }
-        } catch (NumberFormatException e) {
-            LOG.warn("数字格式异常", e);
-        } catch (UnsupportedEncodingException e) {
-            LOG.warn("不支持的编码", e);
-        } catch (IOException e) {
-            LOG.warn("IO异常", e);
-        }
-    }
-
-    /*
-     * 外部引用为了实例化加载变量
-     */
-    public static Log getLog(Class clazz) {
-        return LogFactory.getLog(clazz);
-    }
-
-    /**
-     * 增加一个词典
-     * 
-     * @param key
-     * @param path
-     * @param value
-     */
-    public static void putLibrary(String key, String path, Object value) {
-        if (key.startsWith(DicLibrary.DEFAULT)) {
-            DicLibrary.put(key, path, (Forest) value);
-        } else if (key.startsWith(StopLibrary.DEFAULT)) {
-            StopLibrary.put(key, path, (StopRecognition) value);
-        } else if (key.startsWith(SynonymsLibrary.DEFAULT)) {
-            SynonymsLibrary.put(key, path, (SmartForest) value);
-        } else if (key.startsWith(AmbiguityLibrary.DEFAULT)) {
-            AmbiguityLibrary.put(key, path, (Forest) value);
-        } else if (key.startsWith(CrfLibrary.DEFAULT)) {
-            CrfLibrary.put(key, path, (SplitWord) value);
-        } else {
-            throw new LibraryException(key + " type err must start with dic,stop,ambiguity,synonyms");
-        }
-        ENV.put(key, path);
-    }
-
-    /**
-     * 懒加载一个词典
-     * 
-     * @param key
-     * @param path
-     */
-    public static void putLibrary(String key, String path) {
-        if (key.startsWith(DicLibrary.DEFAULT)) {
-            DicLibrary.put(key, path);
-        } else if (key.startsWith(StopLibrary.DEFAULT)) {
-            StopLibrary.put(key, path);
-        } else if (key.startsWith(SynonymsLibrary.DEFAULT)) {
-            SynonymsLibrary.put(key, path);
-        } else if (key.startsWith(AmbiguityLibrary.DEFAULT)) {
-            AmbiguityLibrary.put(key, path);
-        } else if (key.startsWith(CrfLibrary.DEFAULT)) {
-            CrfLibrary.put(key, path);
-        } else {
-            throw new LibraryException(key + " type err must start with dic,stop,ambiguity,synonyms");
-        }
-        ENV.put(key, path);
-    }
-
-    /**
-     * 删除一个词典
-     * 
-     * @param key
-     */
-    public static void removeLibrary(String key) {
-        if (key.startsWith(DicLibrary.DEFAULT)) {
-            DicLibrary.remove(key);
-        } else if (key.startsWith(StopLibrary.DEFAULT)) {
-            StopLibrary.remove(key);
-        } else if (key.startsWith(SynonymsLibrary.DEFAULT)) {
-            SynonymsLibrary.remove(key);
-        } else if (key.startsWith(AmbiguityLibrary.DEFAULT)) {
-            AmbiguityLibrary.remove(key);
-        } else if (key.startsWith(CrfLibrary.DEFAULT)) {
-            CrfLibrary.remove(key);
-        } else {
-            throw new LibraryException(key + " type err must start with dic,stop,ambiguity,synonyms");
-        }
-        ENV.remove(key);
-    }
-
-    /**
-     * 重置一个词典
-     * 
-     * @param key
-     */
-    public static void reloadLibrary(String key) {
-        if (key.startsWith(DicLibrary.DEFAULT)) {
-            DicLibrary.reload(key);
-        } else if (key.startsWith(StopLibrary.DEFAULT)) {
-            StopLibrary.reload(key);
-        } else if (key.startsWith(SynonymsLibrary.DEFAULT)) {
-            SynonymsLibrary.reload(key);
-        } else if (key.startsWith(AmbiguityLibrary.DEFAULT)) {
-            AmbiguityLibrary.reload(key);
-        } else if (key.startsWith(CrfLibrary.DEFAULT)) {
-            CrfLibrary.reload(key);
-        } else {
-            throw new LibraryException(key + " type err must start with dic,stop,ambiguity,synonyms");
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/NameFix.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/NameFix.java
deleted file mode 100644
index bbc49e824..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/NameFix.java
+++ /dev/null
@@ -1,52 +0,0 @@
-package org.ansj.util;
-
-import org.ansj.domain.Term;
-import org.ansj.domain.TermNatures;
-import org.ansj.recognition.impl.NatureRecognition;
-import org.nlpcn.commons.lang.tire.domain.Forest;
-import org.nlpcn.commons.lang.util.WordAlert;
-
-public class NameFix {
-    /**
-     * 人名消歧,比如.邓颖超生前->邓颖 超生 前 fix to 丁颖超 生 前! 规则的方式增加如果两个人名之间连接是- ， ·，•则连接
-     */
-    public static void nameAmbiguity(Term[] terms, Forest... forests) {
-        Term from = null;
-        Term term = null;
-        Term next = null;
-        for (int i = 0; i < terms.length - 1; i++) {
-            term = terms[i];
-            if (term != null && term.termNatures() == TermNatures.NR && term.getName().length() == 2) {
-                next = terms[i + 2];
-                if (next.termNatures().personAttr.split > 0) {
-                    term.setName(term.getName() + next.getName().charAt(0));
-                    terms[i + 2] = null;
-
-                    String name = next.getName().substring(1);
-                    terms[i + 3] = new Term(name, next.getOffe() + 1,
-                                    new NatureRecognition(forests).getTermNatures(name));
-                    TermUtil.termLink(term, terms[i + 3]);
-                    TermUtil.termLink(terms[i + 3], next.to());
-                }
-            }
-        }
-
-        // 外国人名修正
-        for (int i = 0; i < terms.length; i++) {
-            term = terms[i];
-            if (term != null && term.getName().length() == 1 && i > 0
-                            && WordAlert.CharCover(term.getName().charAt(0)) == '·') {
-                from = term.from();
-                next = term.to();
-
-                if (from.natrue().natureStr.startsWith("nr") && next.natrue().natureStr.startsWith("nr")) {
-                    from.setName(from.getName() + term.getName() + next.getName());
-                    TermUtil.termLink(from, next.to());
-                    terms[i] = null;
-                    terms[i + 1] = null;
-                }
-            }
-        }
-
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/TermUtil.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/TermUtil.java
deleted file mode 100644
index 1811a0912..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/ansj/util/TermUtil.java
+++ /dev/null
@@ -1,200 +0,0 @@
-package org.ansj.util;
-
-import org.ansj.domain.Nature;
-import org.ansj.domain.Term;
-import org.ansj.domain.TermNatures;
-import org.ansj.library.NatureLibrary;
-import org.ansj.library.company.CompanyAttrLibrary;
-import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
-
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-
-/**
- * term的操作类
- * 
- * @author ansj
- * 
- */
-public class TermUtil {
-
-    /**
-     * 将两个term合并为一个全新的term
-     * 
-     * @param termNatures
-     * @return
-     */
-    public static Term makeNewTermNum(Term from, Term to, TermNatures termNatures) {
-        Term term = new Term(from.getName() + to.getName(), from.getOffe(), termNatures);
-        term.termNatures().numAttr = from.termNatures().numAttr;
-        TermUtil.termLink(term, to.to());
-        TermUtil.termLink(term.from(), term);
-        return term;
-    }
-
-    public static void termLink(Term from, Term to) {
-        if (from == null || to == null)
-            return;
-        from.setTo(to);
-        to.setFrom(from);
-    }
-
-    public static enum InsertTermType {
-        /**
-         * 跳过 0 
-         */
-        SKIP,
-        /**
-         * 替换 1
-         */
-        REPLACE,
-        /**
-         * 累积分值 保证顺序,由大到小 2
-         */
-        SCORE_ADD_SORT
-    }
-
-    /**
-     * 将一个term插入到链表中的对应位置中, 如果这个term已经存在参照type type 0.跳过 1. 替换 2.累积分值 保证顺序,由大到小
-     * 
-     * @param terms
-     * @param term
-     */
-    public static void insertTerm(Term[] terms, Term term, InsertTermType type) {
-        Term self = terms[term.getOffe()];
-
-        if (self == null) {
-            terms[term.getOffe()] = term;
-            return;
-        }
-
-        int len = term.getName().length();
-
-        // 如果是第一位置
-        if (self.getName().length() == len) {
-            if (type == InsertTermType.REPLACE) {
-                term.setNext(self.next());
-                terms[term.getOffe()] = term;
-            } else if (type == InsertTermType.SCORE_ADD_SORT) {
-                self.score(self.score() + term.score());
-                self.selfScore(self.selfScore() + term.selfScore());
-            }
-            return;
-        }
-
-        if (self.getName().length() > len) {
-            term.setNext(self);
-            terms[term.getOffe()] = term;
-            return;
-        }
-
-        Term next = self;
-        Term before = self;
-        while ((next = before.next()) != null) {
-            if (next.getName().length() == len) {
-                if (type == InsertTermType.REPLACE) {
-                    term.setNext(next.next());
-                    before.setNext(term);
-                } else if (type == InsertTermType.SCORE_ADD_SORT) {
-                    next.score(next.score() + term.score());
-                    next.selfScore(next.selfScore() + term.selfScore());
-                }
-                return;
-            } else if (next.getName().length() > len) {
-                before.setNext(term);
-                term.setNext(next);
-                return;
-            }
-            before = next;
-        }
-
-        before.setNext(term); // 如果都没有命中
-    }
-
-    public static void insertTermNum(Term[] terms, Term term) {
-        terms[term.getOffe()] = term;
-    }
-
-    public static void insertTerm(Term[] terms, List tempList, TermNatures nr) {
-        StringBuilder sb = new StringBuilder();
-        int offe = tempList.get(0).getOffe();
-        for (Term term : tempList) {
-            sb.append(term.getName());
-            terms[term.getOffe()] = null;
-        }
-        Term term = new Term(sb.toString(), offe, TermNatures.NR);
-        insertTermNum(terms, term);
-    }
-
-    protected static Term setToAndfrom(Term to, Term from) {
-
-        from.setTo(to);
-        to.setFrom(from);
-        return from;
-    }
-
-    private static final HashMap companyMap = CompanyAttrLibrary.getCompanyMap();
-
-    /**
-     * 得到细颗粒度的分词，并且确定词性
-     * 
-     * @return 返回是null说明已经是最细颗粒度
-     */
-    public static void parseNature(Term term) {
-        if (!Nature.NW.equals(term.natrue())) {
-            return;
-        }
-
-        String name = term.getName();
-
-        if (name.length() <= 3) {
-            return;
-        }
-
-        // 是否是外国人名
-        if (ForeignPersonRecognition.isFName(name)) {
-            term.setNature(NatureLibrary.getNature("nrf"));
-            return;
-        }
-
-        List subTerm = term.getSubTerm();
-
-        // 判断是否是机构名
-        term.setSubTerm(subTerm);
-        Term first = subTerm.get(0);
-        Term last = subTerm.get(subTerm.size() - 1);
-        int[] is = companyMap.get(first.getName());
-        int all = 0;
-
-        is = companyMap.get(last.getName());
-        if (is != null) {
-            all += is[1];
-        }
-
-        if (all > 1000) {
-            term.setNature(NatureLibrary.getNature("nt"));
-            return;
-        }
-    }
-
-    /**
-     * 从from到to生成subterm
-     * 
-     * @param terms
-     * @param from
-     * @param to
-     * @return
-     */
-    public static List getSubTerm(Term from, Term to) {
-
-        List subTerm = new ArrayList<>(3);
-
-        while ((from = from.to()) != to) {
-            subTerm.add(from);
-        }
-
-        return subTerm;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/deeplearning4j/nlp/chinese/tokenization/tokenizer/ChineseTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/deeplearning4j/nlp/chinese/tokenization/tokenizer/ChineseTokenizer.java
deleted file mode 100644
index 080734f01..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/deeplearning4j/nlp/chinese/tokenization/tokenizer/ChineseTokenizer.java
+++ /dev/null
@@ -1,88 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.chinese.tokenization.tokenizer;
-
-import org.ansj.domain.Result;
-import org.ansj.domain.Term;
-import org.ansj.splitWord.analysis.NlpAnalysis;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-import java.util.NoSuchElementException;
-
-
-/**
- * The ansj_seg of the open source segmentation algorithm comes form github,the link: https://github.com/NLPchina/ansj_seg
- * When the open source code that obeyed the Apache 2.0 license is reused, its latest commit ID is dedc45fdf85dfd2d4c691fb1f147d7cbf9a5d7fb
- * and  its copyright 2011-2016
-
- * @author: wangfeng
- * @since : June 2,2017
- */
-
-public class ChineseTokenizer implements Tokenizer {
-
-    private TokenPreProcess tokenPreProcess;
-    private List tokenList;
-    private Iterator tokenIter;
-
-    public ChineseTokenizer() {}
-
-    public ChineseTokenizer(String toTokenize) {
-        Result result = NlpAnalysis.parse(toTokenize);
-        this.tokenList = result.getTerms();
-        this.tokenIter = tokenList.iterator();
-    }
-
-    @Override
-    public boolean hasMoreTokens() {
-        return tokenIter.hasNext();
-    }
-
-    @Override
-    public int countTokens() {
-        return tokenList != null ? tokenList.size() : 0;
-    }
-
-    @Override
-    public String nextToken() {
-        if (!hasMoreTokens()) {
-            throw new NoSuchElementException();
-        }
-        return this.tokenPreProcess != null ? this.tokenPreProcess.preProcess(tokenIter.next().getName())
-                        : tokenIter.next().getName();
-    }
-
-    @Override
-    public List getTokens() {
-        ArrayList tokenList = new ArrayList();
-
-        while (hasMoreTokens()) {
-            tokenList.add(nextToken());
-        }
-        return tokenList;
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess tokenPreProcessor) {
-        this.tokenPreProcess = tokenPreProcessor;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/deeplearning4j/nlp/chinese/tokenization/tokenizerFactory/ChineseTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/deeplearning4j/nlp/chinese/tokenization/tokenizerFactory/ChineseTokenizerFactory.java
deleted file mode 100644
index 0f5771e91..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/java/org/deeplearning4j/nlp/chinese/tokenization/tokenizerFactory/ChineseTokenizerFactory.java
+++ /dev/null
@@ -1,60 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.chinese.tokenization.tokenizerFactory;
-
-import org.deeplearning4j.nlp.chinese.tokenization.tokenizer.ChineseTokenizer;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-
-import java.io.InputStream;
-
-/**
- * @date: June 2,2017
- * @author: wangfeng
- * @Description:
- */
-
-public class ChineseTokenizerFactory implements TokenizerFactory {
-
-    private TokenPreProcess tokenPreProcess;
-
-    @Override
-    public Tokenizer create(String toTokenize) {
-        Tokenizer tokenizer = new ChineseTokenizer(toTokenize);
-        tokenizer.setTokenPreProcessor(tokenPreProcess);
-        return tokenizer;
-    }
-
-    @Override
-    public Tokenizer create(InputStream toTokenize) {
-        throw new UnsupportedOperationException();
-        /*  Tokenizer t =  new ChineseStreamTokenizer(toTokenize);
-        t.setTokenPreProcessor(tokenPreProcess);
-        return t;*/
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess tokenPreProcess) {
-        this.tokenPreProcess = tokenPreProcess;
-    }
-
-    @Override
-    public TokenPreProcess getTokenPreProcessor() {
-        return tokenPreProcess;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/LICENSE.txt b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/LICENSE.txt
deleted file mode 100644
index d5ef828f8..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/LICENSE.txt
+++ /dev/null
@@ -1,201 +0,0 @@
-                                 Apache License 
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
-
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
-
-   1. Definitions.
-
-      "License" shall mean the terms and conditions for use, reproduction,
-      and distribution as defined by Sections 1 through 9 of this document.
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-      "Licensor" shall mean the copyright owner or entity authorized by
-      the copyright owner that is granting the License.
-
-      "Legal Entity" shall mean the union of the acting entity and all
-      other entities that control, are controlled by, or are under common
-      control with that entity. For the purposes of this definition,
-      "control" means (i) the power, direct or indirect, to cause the
-      direction or management of such entity, whether by contract or
-      otherwise, or (ii) ownership of fifty percent (50%) or more of the
-      outstanding shares, or (iii) beneficial ownership of such entity.
-
-      "You" (or "Your") shall mean an individual or Legal Entity
-      exercising permissions granted by this License.
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-      transformation or translation of a Source form, including but
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-      editorial revisions, annotations, elaborations, or other modifications
-      represent, as a whole, an original work of authorship. For the purposes
-      of this License, Derivative Works shall not include works that remain
-      separable from, or merely link (or bind by name) to the interfaces of,
-      the Work and Derivative Works thereof.
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-      "Contribution" shall mean any work of authorship, including
-      the original version of the Work and any modifications or additions
-      to that Work or Derivative Works thereof, that is intentionally
-      submitted to Licensor for inclusion in the Work by the copyright owner
-      or by an individual or Legal Entity authorized to submit on behalf of
-      the copyright owner. For the purposes of this definition, "submitted"
-      means any form of electronic, verbal, or written communication sent
-      to the Licensor or its representatives, including but not limited to
-      communication on electronic mailing lists, source code control systems,
-      and issue tracking systems that are managed by, or on behalf of, the
-      Licensor for the purpose of discussing and improving the Work, but
-      excluding communication that is conspicuously marked or otherwise
-      designated in writing by the copyright owner as "Not a Contribution."
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-      "Contributor" shall mean Licensor and any individual or Legal Entity
-      on behalf of whom a Contribution has been received by Licensor and
-      subsequently incorporated within the Work.
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-   2. Grant of Copyright License. Subject to the terms and conditions of
-      this License, each Contributor hereby grants to You a perpetual,
-      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
-      copyright license to reproduce, prepare Derivative Works of,
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-      Work and such Derivative Works in Source or Object form.
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-      this License, each Contributor hereby grants to You a perpetual,
-      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
-      (except as stated in this section) patent license to make, have made,
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-      where such license applies only to those patent claims licensable
-      by such Contributor that are necessarily infringed by their
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-      with the Work to which such Contribution(s) was submitted. If You
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-      cross-claim or counterclaim in a lawsuit) alleging that the Work
-      or a Contribution incorporated within the Work constitutes direct
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-      as of the date such litigation is filed.
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-   4. Redistribution. You may reproduce and distribute copies of the
-      Work or Derivative Works thereof in any medium, with or without
-      modifications, and in Source or Object form, provided that You
-      meet the following conditions:
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-      (a) You must give any other recipients of the Work or
-          Derivative Works a copy of this License; and
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-      (b) You must cause any modified files to carry prominent notices
-          stating that You changed the files; and
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-      (c) You must retain, in the Source form of any Derivative Works
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-          the Derivative Works; and
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-          as part of the Derivative Works; within the Source form or
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-          wherever such third-party notices normally appear. The contents
-          of the NOTICE file are for informational purposes only and
-          do not modify the License. You may add Your own attribution
-          notices within Derivative Works that You distribute, alongside
-          or as an addendum to the NOTICE text from the Work, provided
-          that such additional attribution notices cannot be construed
-          as modifying the License.
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-      You may add Your own copyright statement to Your modifications and
-      may provide additional or different license terms and conditions
-      for use, reproduction, or distribution of Your modifications, or
-      for any such Derivative Works as a whole, provided Your use,
-      reproduction, and distribution of the Work otherwise complies with
-      the conditions stated in this License.
-
-   5. Submission of Contributions. Unless You explicitly state otherwise,
-      any Contribution intentionally submitted for inclusion in the Work
-      by You to the Licensor shall be under the terms and conditions of
-      this License, without any additional terms or conditions.
-      Notwithstanding the above, nothing herein shall supersede or modify
-      the terms of any separate license agreement you may have executed
-      with Licensor regarding such Contributions.
-
-   6. Trademarks. This License does not grant permission to use the trade
-      names, trademarks, service marks, or product names of the Licensor,
-      except as required for reasonable and customary use in describing the
-      origin of the Work and reproducing the content of the NOTICE file.
-
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-      agreed to in writing, Licensor provides the Work (and each
-      Contributor provides its Contributions) on an "AS IS" BASIS,
-      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
-      implied, including, without limitation, any warranties or conditions
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-      PARTICULAR PURPOSE. You are solely responsible for determining the
-      appropriateness of using or redistributing the Work and assume any
-      risks associated with Your exercise of permissions under this License.
-
-   8. Limitation of Liability. In no event and under no legal theory,
-      whether in tort (including negligence), contract, or otherwise,
-      unless required by applicable law (such as deliberate and grossly
-      negligent acts) or agreed to in writing, shall any Contributor be
-      liable to You for damages, including any direct, indirect, special,
-      incidental, or consequential damages of any character arising as a
-      result of this License or out of the use or inability to use the
-      Work (including but not limited to damages for loss of goodwill,
-      work stoppage, computer failure or malfunction, or any and all
-      other commercial damages or losses), even if such Contributor
-      has been advised of the possibility of such damages.
-
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-      the Work or Derivative Works thereof, You may choose to offer,
-      and charge a fee for, acceptance of support, warranty, indemnity,
-      or other liability obligations and/or rights consistent with this
-      License. However, in accepting such obligations, You may act only
-      on Your own behalf and on Your sole responsibility, not on behalf
-      of any other Contributor, and only if You agree to indemnify,
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-      boilerplate notice, with the fields enclosed by brackets "[]"
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-   Copyright [yyyy] [name of copyright owner]
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-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
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-       http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   See the License for the specific language governing permissions and
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diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/NOTICE.txt b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/NOTICE.txt
deleted file mode 100644
index 809b84656..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/NOTICE.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-ansj_seg
-Copyright 2011-2016 ansj_seg
-
-the deeplearning4j-nlp-chinese
-Copyright 2017-2022 the deeplearning4j-nlp-chinese
-
-This product includes software developed by The Apache Software
-Foundation (http://www.apache.org/).
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/apache_licence2.0_src_link_commit_id.png b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/apache_licence2.0_src_link_commit_id.png
deleted file mode 100644
index 9da3242e9..000000000
Binary files a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/apache_licence2.0_src_link_commit_id.png and /dev/null differ
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/bigramdict.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/bigramdict.dic
deleted file mode 100644
index b417987ed..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/bigramdict.dic
+++ /dev/null
@@ -1,408976 +0,0 @@
-啊@、	3
-啊@。	4
-啊@”	1
-啊@！	39
-啊@，	20
-啊@？	2
-啊@草	1
-啊@还有	1
-啊@填	1
-阿@、	1
-阿@，	2
-阿@本国	1
-阿@大使	1
-阿@当局	2
-阿@断然	1
-阿@发生	2
-阿@发展	1
-阿@反对党	1
-阿@幅员	1
-阿@各派	1
-阿@关系	1
-阿@国内	3
-阿@和谈	2
-阿@建交	1
-阿@将	1
-阿@近海	1
-阿@经济	4
-阿@经济部	1
-阿@经贸	1
-阿@局势	3
-阿@拒绝	1
-阿@客机	1
-阿@两	3
-阿@领导人	1
-阿@每	1
-阿@难民	1
-阿@内部	1
-阿@内政	2
-阿@派遣	1
-阿@去年	1
-阿@全国	4
-阿@人民	2
-阿@使馆	1
-阿@双边	1
-阿@双方	2
-阿@所有	1
-阿@外长	2
-阿@外交部	1
-阿@为	1
-阿@未##数	1
-阿@位居	1
-阿@问题	2
-阿@五	1
-阿@西部	2
-阿@以	2
-阿@影响	1
-阿@友谊	1
-阿@政党	1
-阿@政府	10
-阿@中	5
-阿@重	1
-阿@主权	1
-阿@总理	3
-阿@总统	2
-阿比让@电	1
-阿比让@人	1
-阿比让@私	1
-阿比让@未##时	3
-阿比让市@人们	1
-阿比托@今天	1
-阿比托@说	2
-阿比托@在	1
-阿波罗@”	1
-阿波罗@登	1
-阿布哈兹@冲突	14
-阿布哈兹@担任	1
-阿布哈兹@的	1
-阿布哈兹@动武	1
-阿布哈兹@归属	1
-阿布哈兹@自治	2
-阿布扎比@王族	1
-阿布扎比@未##时	4
-阿昌族@）	1
-阿迪达斯@”	1
-阿迪达斯@公司	1
-阿迪达斯@猎鹰杯	1
-阿迪达斯@体育	1
-阿尔巴尼亚@，	2
-阿尔巴尼亚@的	3
-阿尔巴尼亚@反	1
-阿尔巴尼亚@负责	1
-阿尔巴尼亚@高息	2
-阿尔巴尼亚@前	1
-阿尔巴尼亚@缺乏	1
-阿尔巴尼亚@却	1
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-。@末##末	35985
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diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/company/company.data b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/company/company.data
deleted file mode 100644
index 4569b0298..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/company/company.data
+++ /dev/null
@@ -1,3008 +0,0 @@
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-高碑店市	468	0
-伊春市	2851	1
-武山县	249	0
-德兴市	819	0
-芜湖市	1023	0
-张掖市	310	0
-苍梧县	800	0
-石嘴山市	381	0
-有限公司	22	3939424
-呼和浩特	1799	7
-便利店	0	316
-武夷山	253	0
-蓬溪县	342	0
-鞍山市	10076	0
-东莞市	33408	8
-东营区	564	1
-武威市	205	1
-廉江市	291	0
-嘉荫县	256	0
-东营市	7857	0
-上虞市	2249	0
-建材厂	1	4419
-足球队	0	214
-莱阳市	378	0
-总政治部	10	213
-陆良县	432	0
-苍溪县	663	0
-良种场	0	288
-楚雄市	532	0
-楚雄州	328	0
-荆州市	7065	1
-保修厂	0	222
-理工大学	3	263
-三门峡市	1123	0
-股份公司	1	2938
-租赁站	1	376
-乳源县	251	0
-休宁县	445	0
-荣成市	481	0
-仪征市	517	1
-佛冈县	597	0
-师范学院	0	266
-青海省	2797	0
-鞋材厂	0	333
-竹溪县	231	0
-五河县	611	0
-大石桥市	386	0
-回收站	0	1747
-管委会	0	254
-张家界	1328	2
-自贡市	5762	0
-张家港	3742	7
-靖江市	2305	0
-工艺品	51	220
-会宁县	273	0
-彩印厂	0	1742
-中石化	689	3
-葫芦岛	452	3
-张家口	2163	1
-黑龙江	14524	9
-货运部	0	479
-陕西省	4866	1
-黄骅市	437	0
-建德市	1277	0
-庄浪县	335	0
-营业所	0	1399
-蕲春县	395	0
-嘉禾县	383	0
-开平市	1332	0
-营业厅	0	1386
-民主党	0	228
-师范大学	4	460
-营业处	0	361
-韩城市	443	0
-平湖市	1038	0
-云浮市	1277	0
-广汉市	521	0
-广水市	1150	0
-伊拉克	258	0
-仙桃市	2771	0
-武强县	232	0
-开封市	4243	0
-人民党	1	208
-萍乡市	1218	0
-福鼎市	646	0
-阿鲁科尔	244	0
-理事会	0	472
-售后服务部	0	218
-啤酒厂	0	234
-马鞍山市	4421	0
-中科院	510	2
-龙泉市	387	0
-怀安县	220	0
-怀宁县	843	0
-预制厂	0	2138
-玉林市	3511	0
-广西省	710	0
-武乡县	390	0
-武义县	455	0
-龙海市	390	0
-萝北县	263	0
-佳木斯	3264	0
-五莲县	1052	0
-龙江县	639	0
-。莞	1309	0
-穆棱市	316	0
-。州	254	0
-固安县	656	0
-四川省	20487	2
-保定市	5763	0
-青田县	242	0
-彰武县	579	0
-嘉祥县	357	0
-余江县	373	0
-莱州市	1701	0
-营业部	0	7438
-三门县	305	0
-秦皇岛	8322	6
-龙游县	868	0
-。。	1121	866
-　　	0	283
-商贸部	0	626
-四平市	524	0
-三门峡	1714	0
-三门市	3	202
-介绍所	0	351
-乌鲁木齐	6057	5
-国务院	1781	537
-理发店	0	259
-书记处	0	431
-舞钢市	910	0
-中华人民共和国	796	0
-营销部	0	11068
-总公司	3	20922
-株式会社	204	649
-东阳市	2597	0
-阜阳市	517	0
-德州市	3614	1
-建瓯市	1402	0
-营口市	686	0
-上饶市	358	2
-思南县	202	0
-总代理	0	7579
-中国银行	196	7
-锡林郭勒盟	321	0
-中外合资	623	32
-怀化市	1751	1
-图书馆	0	496
-竹山县	241	0
-咸阳市	255	0
-俱乐部	1	4313
-无限公司	0	250
-策划部	0	377
-虞城县	284	0
-蓬莱市	297	0
-菲律宾	226	0
-微山县	231	0
-会泽县	306	0
-电子商务部	0	1304
-鄂尔多斯市	669	0
-项城市	290	0
-祁阳县	373	0
-代理处	0	459
-祁门县	388	0
-代理商	2	464
-平罗县	211	0
-徐州市	5927	0
-代理部	0	312
-供应处	0	1115
-集贤县	339	0
-开江县	343	0
-青神县	208	0
-供应部	0	1100
-供应站	0	9720
-建湖县	500	0
-怀仁县	378	0
-桓台县	240	0
-进出口部	0	916
-集团公司	3	9883
-扬州市	9556	0
-储备库	0	522
-机电厂	2	658
-威海市	3438	0
-通辽市	447	1
-松溪县	308	0
-威海云	274	0
-食品厂	1	12362
-金寨县	588	0
-机砖厂	0	1037
-桦南县	317	0
-绥芬河市	771	0
-食品店	0	1213
-松滋市	992	0
-苏仙区	557	0
-顺德市	697	0
-枝江市	918	0
-装备厂	0	233
-什邡市	207	0
-顺德区	271	1
-桐城市	1798	0
-行政部	0	528
-承德市	921	0
-辽阳县	1712	0
-供电局	3	241
-修武县	480	0
-稷山县	565	0
-种植园	1	289
-种植场	0	271
-舟山市	920	0
-辽阳市	7827	1
-行政区	0	497
-格尔木	292	0
-金坛市	1065	0
-招商部	0	1783
-福清市	427	1
-霍邱县	396	0
-连锁店	0	1928
-仪表厂	0	2854
-装卸队	0	399
-五金店	2	1062
-招商局	91	179
-偃师市	483	0
-通讯行	0	224
-批发店	0	617
-武夷山市	1131	0
-代表处	0	10153
-西丰县	909	0
-桂平市	351	1
-芮城县	379	0
-顺昌县	727	0
-濉溪县	896	0
-百货大楼	10	219
-三峡	581	28
-中国	72716	120
-乳业	2	234
-中商	205	1
-中原	990	3
-中化	511	1
-中南	490	3
-中华	1909	1
-丝厂	2	384
-中冶	272	0
-东台	295	0
-东升	588	1
-久久	203	2
-东南	347	0
-东华	244	0
-中兴	551	5
-中共	1463	0
-东北	1278	0
-中信	692	26
-丹东	7139	1
-业务	20	918
-专卖	9	1430
-中企	258	1
-个体	3535	2782
-中亚	271	1
-东兴	508	1
-灯塔市	1208	0
-个人	76	1825
-中东	211	0
-东京	242	1
-东亚	257	0
-专业	468	74
-三亚	3435	1
-一汽	386	11
-临朐	503	3
-三江	238	3
-企业	137	4201
-书店	4	2548
-专柜	1	224
-亚太	432	2
-产品	27	207
-京华	205	0
-东方	3979	28
-九州	369	2
-东明	224	1
-乐山	969	0
-乌市	392	0
-三星	538	3
-三明	744	1
-中建	370	1
-云南	23249	12
-中心	46	171715
-乐团	0	239
-中学	11	4502
-专店	0	219
-临安	1253	2
-中山	7603	26
-中央	6796	1481
-中天	899	7
-中大	537	5
-七彩	282	0
-中电	282	1
-东盛	262	2
-传媒	19	420
-佳佳	303	0
-中盛	217	1
-世界	1921	443
-乐清	1175	2
-九江	1034	0
-会员	2	802
-九洲	211	1
-仓库	3	372
-二手	239	4
-丽水	1107	2
-中港	226	2
-丽江	209	2
-中油	625	1
-任县	395	0
-伊利	206	0
-临汾	1353	5
-临沂	12571	6
-中海	518	1
-林甸县	213	0
-丰源	225	0
-临清	249	0
-人大	454	2187
-上海	293621	188
-东海	476	3
-伟业	613	729
-佛山	11237	16
-批发部	2	13451
-伊春	396	0
-中航	448	1
-上虞	557	0
-东营	5318	2
-东莞	83290	62
-人民	2623	0
-仙桃	994	0
-体委	2	206
-余姚	1532	2
-会所	0	384
-乐陵市	255	0
-中联	502	2
-云浮	1443	0
-中科	689	3
-五洲	279	2
-批发行	0	1203
-亚洲	685	9
-世纪	1787	58
-作坊	0	452
-三联	345	4
-衡水市	2355	0
-溧阳市	889	0
-自治区	23	392
-景德镇市	610	0
-大自然	226	1
-桦川县	286	0
-大英县	317	0
-以色列	462	0
-丰顺县	818	0
-重庆市	7505	0
-颜料厂	0	557
-临颍县	279	0
-拉丝厂	0	450
-服装店	2	3336
-苍南县	6493	0
-灵山县	503	0
-丹阳市	2742	0
-章丘市	1268	0
-娄星区	226	0
-信息网	1	205
-靖远县	267	0
-信息部	0	829
-如皋市	250	0
-靖边县	394	0
-灵宝市	270	0
-灵寿县	684	0
-嘉华	237	1
-造纸厂	6	3141
-嘉兴	5689	10
-华龙	491	0
-厦门	37818	24
-科学院	8	1383
-品牌	159	62
-和田	406	1
-商店	1	27657
-内乡县	213	0
-百货公司	14	1347
-邻水县	470	0
-友谊	431	3
-博雅	244	1
-南非	289	1
-厂部	0	207
-南阳	3295	4
-合肥	22228	15
-招待所	0	1343
-华阳	310	0
-商城	23	1672
-华鑫	341	0
-医院	4	2749
-商场	16	8179
-唐山	9155	4
-喀什	1544	1
-轧钢厂	0	591
-南通	18243	14
-商厦	2	315
-华通	516	5
-商务	155	180
-华达	215	3
-吉祥	523	0
-友联	210	0
-卓越	480	7
-商会	4	361
-商丘	1352	0
-商业	123	126
-齿轮厂	0	740
-咸宁	349	0
-吴江	1600	4
-哈密	217	0
-台湾	9467	36
-华艺	253	0
-呼市	212	1
-邵武市	1444	0
-和平	264	0
-吉林	9809	6
-华联	288	11
-包装	42	215
-华美	721	2
-医药	96	167
-华能	267	2
-儋州市	304	0
-剧院	0	299
-华盛	437	2
-周口	662	0
-名店	3	229
-华瑞	236	2
-艺术团	0	373
-分院	0	530
-南海	1250	2
-华源	268	5
-南洋	209	0
-华润	429	0
-台州	7333	9
-石门县	703	0
-华泰	562	5
-利达	325	3
-望江县	383	0
-基地	24	18208
-塑业	1	1745
-城市	243	8
-材料厂	0	19311
-四海	430	0
-共产党	0	2713
-兴业县	352	2
-回收	39	379
-四方	269	2
-地委	1	233
-商铺	1	417
-大田县	686	0
-禹州市	1353	0
-固安	222	1
-四川	44980	12
-地区	57	2027
-苏州市	9326	1
-土厂	0	382
-商贸	70	927
-嘉祥	286	0
-国家	9822	3
-嘉禾	222	3
-烟台市	3573	0
-咸阳	2271	1
-园区	1	299
-商行	4	74167
-器材	5	318
-四季	263	1
-国土	289	0
-中山古镇	219	0
-国会	11	464
-商社	0	1193
-咨询	12	213
-嘉善	2030	0
-商洛	433	0
-双鸭	284	0
-双龙	284	0
-六安	643	0
-公寓	1	247
-兖州	249	0
-冠县	300	0
-兄弟	837	3
-军区	6	1417
-材料部	0	317
-兵团	96	127
-党委	0	1282
-全国	11324	19
-百货商店	1	1363
-兴发	285	4
-光大	385	1
-兴华	375	5
-公司	21	911569
-兴化	300	4
-创业	289	71
-分会	0	299
-光明	625	3
-凤凰	357	3
-信达	406	5
-兰州	16369	4
-农场	23	2899
-使馆	1	280
-信诚	358	0
-兔业	2	199
-大竹县	796	0
-儋州	485	0
-神木县	708	0
-农业	540	412
-科士威	246	26
-会馆	0	301
-光华	225	2
-兴业	683	59
-八一	251	0
-五金	251	251
-食杂店	0	526
-九龙	225	0
-林州市	450	0
-会议	4	273
-什邡	425	0
-鄂州市	3046	0
-健康	270	5
-机械厂	3	41119
-伊犁	255	0
-信宜	243	0
-三鑫	212	0
-保定	7678	6
-中远	366	4
-代理	60	1820
-世贸	1358	5
-中视	222	1
-万达	480	44
-万通	423	5
-供应	285	139
-中铁	1502	0
-中钢	245	0
-上饶	307	0
-信息	444	120
-福建省	25474	0
-中队	0	205
-车辆厂	0	452
-东风	1957	5
-丹阳	688	1
-三门	364	2
-东阳	553	0
-南宫	423	0
-南宁	5509	9
-兴隆	660	5
-茂名市	3516	1
-半岛	44	194
-博大	208	1
-华宇	562	6
-华安	214	4
-华威	316	3
-分行	0	1096
-印尼	387	1
-北方	1703	5
-华强	345	4
-南平	895	0
-博山	691	0
-凯达	232	2
-印度	493	1
-友协	6	310
-厂家	33	614
-分部	0	4097
-同创	230	2
-合力	203	7
-启东	395	0
-叶县	691	0
-南昌	5120	12
-造粒厂	0	908
-凯里	254	0
-县委	4	846
-南方	1253	4
-北海	2387	2
-华星	325	1
-娄底市	1599	1
-合伙	3	1354
-华新	215	1
-枣强县	261	0
-内蒙	990	4
-克什克	265	0
-运营部	0	282
-福建华	303	0
-南京	51727	38
-华信	339	2
-包头	3094	5
-光辉	250	1
-分社	0	2426
-华兴	548	2
-华丰	391	1
-华东	773	10
-华中	462	0
-协会	1	8198
-农行	275	50
-南县	595	0
-单县	556	0
-化学	39	215
-北大	551	0
-南充	907	2
-印业	1	268
-华南	676	4
-华北	1225	4
-分站	0	676
-印厂	0	1614
-华夏	1286	2
-华天	239	1
-兴达	712	2
-先锋	384	6
-印刷	44	270
-化工	137	1065
-区委	0	247
-十堰	7853	0
-兖矿	205	0
-襄城县	336	0
-分所	0	704
-兴盛	288	1
-创意	374	7
-襄垣县	418	0
-劳动	250	1
-创新	674	7
-分校	0	338
-俄罗斯	1310	1
-百货商行	1	1126
-党组	0	241
-勉县	271	0
-刘氏	276	0
-焦作市	6267	3
-枣庄市	1998	0
-无锡市	13914	0
-加工	19	579
-利民	291	0
-北京	610409	260
-农庄	4	269
-党校	3	458
-分厂	1	6645
-信阳	1628	1
-分司	0	327
-柘城县	242	0
-兴旺	481	0
-凉山	355	0
-制作	3	205
-全椒	545	0
-分场	0	528
-转运站	0	207
-福州市	3704	3
-养殖	30	190
-制品	2	314
-分局	3	1635
-兰溪	207	0
-内江	1375	1
-分店	0	5208
-全球	290	30
-富达	233	4
-巩义	954	0
-工会	14	506
-工业	121	382
-安顺	209	0
-巴中	273	0
-嵊州	316	0
-安阳	4164	2
-宿迁	2360	4
-宏鑫	280	0
-宝贝	204	32
-安达	327	4
-小组	0	622
-学院	19	9367
-富裕	293	1
-宏达	1283	6
-宏远	387	13
-太湖县	599	0
-市委	2	2589
-邮电所	0	217
-广东	52019	34
-巴彦	425	0
-辛集市	596	0
-工委	0	381
-市场	28	3325
-小铺	2	363
-山西	38218	9
-宾馆	3	1415
-布厂	0	727
-拜城县	244	0
-宝鸡	3386	1
-工坊	0	248
-帽业	2	508
-布业	2	669
-工区	0	268
-川南	240	0
-工司	0	574
-工厂	5	3122
-富阳	1040	4
-天津市	30144	1
-丹江口市	869	0
-宏盛	274	1
-富源	285	0
-学生	113	160
-宏源	305	3
-小店	23	1312
-安溪	433	0
-宏泰	331	0
-安泰	337	5
-宁海	825	0
-宁波	34850	26
-宁津	267	1
-小学	3	3149
-峰峰	317	0
-天津港	266	0
-旬阳县	283	0
-姜堰市	1503	0
-完美	508	3
-本溪市	7220	0
-岫岩	261	0
-家电	85	730
-宽甸	209	0
-快乐	467	4
-工贸	51	199
-布行	1	495
-巴西	310	0
-幸福	412	2
-代销店	0	445
-天水市	1578	0
-防城港市	1164	0
-德国	2764	2
-平煤	273	0
-工艺	67	205
-开心	291	4
-信用社	1	2394
-建材	75	294
-项目部	0	1893
-恒丰	381	1
-恒信	508	5
-桓仁县	270	0
-广西	48346	12
-总厂	0	6060
-建筑	206	33
-恒兴	238	3
-恒利	242	0
-恒发	266	1
-总场	0	328
-基金会	0	944
-徐州	21307	5
-张氏	386	0
-巨野	270	0
-修理站	0	559
-怀化	1466	1
-西宁市	970	1
-德州	7893	3
-桐乡市	2469	0
-西安市	3835	2
-总会	0	704
-平安	582	36
-希望	240	2
-广场	11	1131
-庄园	19	230
-巴林	512	0
-常德	1476	1
-岳阳	1195	2
-广州	95049	122
-广安	635	0
-修理部	0	2270
-运输部	0	202
-庆元	298	0
-平原	136	74
-折扣店	0	466
-广元	796	0
-平凉	550	0
-康佳	287	3
-应县	252	0
-常州	21000	17
-广发	221	0
-广告	98	589
-金华市	6512	1
-常熟	3464	3
-延安	1273	1
-工程	99	569
-运输队	0	227
-平湖	321	0
-广源	358	4
-开平	377	0
-开封	2426	2
-开元	227	2
-张三	225	11
-建华	225	0
-廊坊	7278	8
-开原	278	0
-西峡县	344	2
-如东	254	1
-天天	999	2
-大学	83	6315
-大宇	233	4
-天宇	777	5
-大唐	405	1
-大地	539	8
-奉化	427	1
-大堤	1	334
-天地	640	50
-造船厂	0	285
-奎屯	1081	0
-大成	317	0
-天成	594	9
-大庆	6207	2
-太平	269	2
-英山县	606	0
-如意	286	1
-天正	240	0
-培训	5	254
-大理	223	0
-金乡县	359	0
-天狮	207	8
-天津	49473	54
-天润	223	5
-女排	0	578
-天水	3102	0
-大洋	246	2
-天河	229	3
-天源	251	1
-牡丹江市	5192	0
-塑厂	0	251
-乌鲁木齐市	2948	0
-国营	1287	12
-修理厂	2	6977
-塑料	187	99
-四通	229	2
-修理店	0	222
-冷水江市	622	0
-大厦	5	712
-天华	210	0
-大华	422	3
-天台	348	0
-大同	2247	1
-太原	6718	8
-拓展部	0	759
-天利	250	1
-国际	3938	359
-国防	341	1
-天元	227	3
-大全	46	234
-夏县	247	0
-天使	334	4
-天下	410	24
-太仓	752	0
-大众	578	63
-大丰	225	1
-学会	1	931
-天长	352	1
-大队	0	886
-太阳	312	0
-女足	0	229
-安丘	238	1
-天顺	225	1
-宏业	251	32
-宏伟	505	3
-好运	250	0
-宝丰	212	0
-实业	36	5225
-天马	228	4
-宏兴	338	1
-安利	539	1
-宏利	268	0
-安吉	1363	0
-宜兴	778	3
-大鹏	280	0
-宏发	552	0
-宣化	1065	0
-天龙	557	4
-女队	0	362
-家具	46	380
-宁夏	15575	0
-宏图	266	0
-容县	517	0
-宏大	449	0
-孝感	1397	1
-富华	221	1
-宏宇	313	0
-安居	242	1
-宇宙	202	0
-宝宝	202	5
-宜宾	1716	2
-宣威	417	0
-寿光	544	1
-技术部	0	2548
-安徽	40589	12
-安庆	2230	3
-安平	1384	3
-宁德	404	0
-安康	737	2
-家居	81	139
-寿县	375	0
-柳州市	8861	0
-富士	353	1
-灯泡厂	0	317
-家家	308	0
-宿州	565	2
-学校	76	11356
-石首市	968	0
-饶平县	400	0
-宜昌	5540	1
-富强	209	3
-对外	204	1
-山东	119910	36
-大田	208	0
-娄底	935	0
-如皋	1006	0
-威海	10702	8
-天诚	206	2
-妇联	4	581
-外贸	219	224
-大连	34772	18
-大通	327	7
-英德市	925	0
-材厂	0	483
-支队	6	671
-机场	7	375
-昌盛	541	1
-杂店	0	249
-墨玉县	231	0
-果业	5	406
-朔州	455	0
-分中心	0	234
-曙光	248	2
-新疆	24965	2
-教育	77	226
-文登	459	1
-六盘水市	762	0
-昆明	19569	15
-数码	250	271
-星星	395	3
-服务	32	579
-晨曦	221	2
-旅社	1	297
-晋江	1153	1
-星火	282	3
-服厂	0	510
-支行	0	671
-日照	6973	7
-曹县	1530	1
-木业	15	4192
-冀州市	882	0
-文联	7	224
-柳州	4282	2
-机电	84	185
-桐乡	579	1
-桓仁	727	2
-杨氏	275	0
-梅县	1333	0
-格尔	269	0
-柜厂	0	259
-邳州市	224	0
-机构	1	5419
-新闻	209	2
-未来	389	4
-杭州	70027	46
-林场	7	2380
-校区	0	241
-李氏	436	1
-星辉	201	1
-本溪	4380	2
-无限	201	10
-旅馆	2	966
-昌邑	399	1
-明达	222	1
-无锡	27420	19
-枣庄	2233	3
-机械	342	830
-材料	14	522
-郓城县	731	0
-政协	244	3325
-支局	0	1968
-文化	126	80
-新乡	3617	10
-修配厂	0	2920
-新亚	202	3
-新会	238	0
-教委	0	242
-新余	546	1
-摄影	13	289
-始兴县	396	0
-抚顺	9695	1
-昌图	545	0
-旅店	1	256
-晋中	413	0
-新昌	205	0
-新星	386	7
-晨光	283	1
-昆山	10001	23
-时尚	928	32
-昊天	226	0
-惠民县	339	0
-修造厂	0	1688
-晋城	551	1
-景县	519	0
-敦煌	289	0
-星宇	248	2
-新源	220	1
-无棣	402	1
-方正	290	54
-日本	3534	2
-旭日	546	1
-新华	1095	4
-攀枝	1269	0
-新兴	652	0
-政府	3	10550
-时代	840	31
-新宇	236	2
-新奇	285	2
-昌乐	208	0
-方圆	594	3
-昌吉	347	1
-星光	404	4
-揭阳	1061	2
-供销处	0	255
-振华	297	1
-振兴	509	1
-兴宁市	1477	0
-招商	138	101
-承德	1368	1
-扬州	18629	12
-邹城市	345	0
-炼油厂	3	404
-扬子	218	0
-批发	64	1568
-促进会	0	411
-邓州市	241	0
-培训部	0	349
-公安局	2	927
-灵璧县	539	0
-委员会	0	8743
-德阳市	1144	0
-六安市	2102	0
-拉萨	461	0
-轧花厂	0	332
-成都	36235	47
-检测站	0	214
-报社	1	228
-通江县	378	0
-兖州市	364	0
-研究院	1	3288
-恒源	323	1
-惠州	3185	5
-有机肥厂	0	403
-恒星	228	2
-总汇	0	6217
-肇源县	292	0
-彩虹	336	4
-兰州市	1686	2
-恒泰	402	5
-庆阳	234	0
-店铺	2	648
-建设	262	50
-悉尼	325	0
-延边	553	1
-恒昌	253	1
-总局	0	1375
-总店	0	805
-德清	619	0
-恒安	203	1
-平阳	368	0
-康达	306	3
-磨料厂	0	435
-恒通	446	4
-房县	866	0
-扬中	299	1
-恒达	449	4
-总部	0	6558
-潮阳市	272	0
-供销社	23	1081
-总队	0	522
-成功	225	1
-慈溪	2034	2
-德阳	1324	1
-恒盛	224	1
-总社	0	239
-总站	0	696
-志诚	221	0
-总署	0	249
-德邦	338	0
-滁州	1275	0
-法院	5	1444
-当阳市	966	0
-渤海	235	1
-邮政所	0	237
-湘潭	2840	0
-洛阳	11664	1
-滨州	2798	7
-滕州	432	1
-克山县	530	0
-湛江	4847	2
-海门	211	1
-漳州	5150	4
-郴州市	2895	0
-潍坊	17411	9
-潮州	2240	7
-滨海	201	1
-澧县	838	0
-灵石县	209	0
-湘西	292	0
-海龙	211	6
-漯河	1524	0
-清远	2661	1
-潜江	241	4
-大学生	199	18
-炭业	1	266
-溧阳	220	0
-烟台	19959	11
-枞阳县	509	0
-泰兴	546	3
-泗县	728	0
-油坊	4	277
-福安市	1043	0
-永昌	349	1
-沧州	10004	4
-泊头	532	0
-泸县	1000	0
-泵厂	0	260
-沙市	221	0
-法国	1732	1
-民生	284	1
-江汉	520	0
-泉州	13849	8
-泰国	458	1
-永济	749	0
-油库	0	236
-泸州	2632	1
-欧阳	507	3
-泰康	251	1
-济南	39328	22
-泰州	4534	9
-法律	204	0
-浦东	227	22
-泰山	759	24
-泰安	4950	4
-武警	1009	0
-海关	260	871
-流域	0	270
-海军	188	36
-浚县	664	0
-永盛	443	3
-海信	253	2
-武进	207	0
-济宁	6345	8
-海南	16241	13
-津市	478	0
-海口	2477	6
-海天	433	1
-永胜	293	1
-河源	1351	2
-民航	235	75
-海城	410	0
-淄博	21876	7
-配件部	0	652
-海峡	167	136
-淇县	567	0
-油田	34	410
-海宁	2109	0
-海安	269	0
-海尔	368	11
-洋浦	245	2
-淮南	1633	0
-淮北	1577	1
-江苏	63720	45
-清华	756	0
-洪洞	206	0
-深圳	98425	193
-江西	43844	20
-海林	212	3
-渠县	741	0
-涂料	50	387
-淄川	232	0
-济源	440	0
-淮安	4295	4
-浦江	942	1
-渔场	1	228
-清大	277	0
-浙江	82148	50
-温县	1226	2
-渭南	794	0
-汇通	299	4
-浪漫	211	0
-海湾	255	5
-湖南	42744	25
-湖北	42217	14
-海洋	513	5
-邮政局	3	876
-江都	304	3
-克拉玛依市	996	0
-汽车	383	103
-温岭	373	2
-永顺	249	0
-温州	16438	17
-汽配	17	810
-江阴	3386	3
-江门	6176	8
-海盐	1138	0
-湖州	9814	1
-沈阳	30070	22
-克拉玛依区	464	0
-滤业	1	267
-大庆市	8325	0
-清河	409	0
-滑县	242	0
-沭阳	376	2
-河间	866	0
-武义	1060	2
-总经办	0	725
-农业局	8	711
-正大	424	1
-鄄城县	247	0
-楚雄	819	1
-太平洋	501	2
-兴化市	2192	0
-联络处	0	1447
-共同体	2	249
-歙县	663	0
-郑州市	9005	3
-永利	304	1
-永兴	690	1
-水厂	1	1727
-正泰	316	2
-武汉	42164	25
-永发	345	4
-民委	0	202
-永丰	352	1
-永信	214	1
-汇丰	363	1
-汉中	2314	0
-欣欣	366	0
-欧洲	793	0
-毛厂	0	217
-毡厂	0	245
-植物油厂	1	354
-油厂	0	1522
-民权	234	1
-河南	52788	28
-河北	74906	18
-泵业	1	433
-永康	6397	2
-永州	592	0
-江山	514	2
-沧县	529	0
-永恒	406	1
-沛县	243	0
-汕尾	391	1
-沙厂	0	266
-沙县	1332	1
-大悟县	412	0
-沁县	294	0
-汕头	6987	14
-永安	424	2
-欧盟	597	0
-永嘉	608	0
-江南	785	3
-江华	216	1
-株洲	7394	2
-梧州	1112	1
-服部	0	312
-曲靖	915	0
-本部	0	272
-梦想	198	3
-曲阜	418	1
-服装	205	240
-桐庐	1151	0
-邹平县	1599	0
-农业部	168	70
-桂林	6470	2
-梁山	675	0
-奥委会	0	604
-梅州	1105	0
-朝鲜	752	1
-杜马	2	468
-森林	204	9
-最高	671	0
-本钢	704	1
-朝阳	3238	2
-有限	35	414
-服饰	39	829
-模厂	0	290
-榆林	581	1
-饶河县	257	0
-榆次	704	0
-石油	416	50
-太原市	7361	1
-碱厂	1	264
-大同市	6439	0
-遂宁市	1375	0
-天台县	771	0
-盛达	342	2
-益阳	1294	1
-盘锦	912	0
-石狮	341	1
-直销	6	316
-内江市	2159	0
-百货	43	309
-扬中市	1200	0
-白银	1599	1
-盛源	222	0
-石业	2	551
-石狮市	1000	0
-矿业	33	1124
-石厂	0	1258
-石化	117	156
-砂厂	0	488
-矿厂	0	497
-砖厂	3	1016
-皇明	240	1
-省委	2	2061
-男队	0	228
-眉山	697	1
-睢县	209	0
-桂林市	6038	0
-盘县	294	0
-直销店	0	288
-盂县	560	0
-盛世	810	15
-电脑	205	405
-番禺	396	7
-盛大	242	4
-盐城	3665	5
-遵化市	256	0
-香河县	463	2
-白云	249	0
-通州市	672	0
-甘肃	17816	4
-皮业	2	418
-电站	1	491
-磐安县	540	0
-直销处	0	1254
-男排	0	310
-画廊	0	468
-梅州市	2858	0
-办事处	2	77459
-技术学校	1	694
-琴行	1	577
-电台	1	728
-用品	5	1078
-电厂	2	1067
-电力	164	49
-电器	78	1140
-电信	91	266
-琼海	283	0
-电子	366	2035
-国际部	0	687
-国防部	49	218
-热电厂	4	374
-肉联厂	1	482
-通山县	322	0
-瓦厂	0	270
-曲阜市	527	0
-瓷业	0	277
-玻璃	129	85
-瓷厂	0	1209
-瑞安	751	1
-玉环	1477	2
-瑞士	564	0
-环球	1095	5
-珠海	18866	30
-检察院	0	1413
-瑞典	272	1
-王氏	386	1
-理想	218	2
-大埔县	875	0
-大城县	1070	0
-玉林	767	3
-瑞丰	316	1
-王子	204	1
-养殖场	4	9101
-环宇	665	4
-濮阳市	6395	1
-奉化市	1692	0
-现代	693	10
-桃江县	840	0
-环保	153	61
-玩具	169	764
-濮阳县	913	1
-猪场	0	377
-猪业	0	280
-献县	440	0
-物流	66	638
-益阳市	2659	0
-停车场	1	280
-灯饰	15	274
-煤矿	29	1532
-分宜县	442	0
-特区	13	270
-遵义市	374	0
-煤炭	224	14
-牧业	7	1229
-物业	24	341
-大姚县	249	0
-濮阳	1466	0
-照明	33	221
-澳门	1422	3
-兰溪市	1174	0
-株洲市	6964	0
-株洲县	213	0
-梧州市	3787	0
-煤场	1	265
-黑龙江省	16757	2
-如东县	309	0
-大兴安岭	518	0
-煤厂	0	1609
-煤业	9	350
-曾都区	1358	0
-焦厂	0	276
-焦作	2106	2
-纸行	0	208
-聊城	4651	4
-绿色	603	0
-壶关县	483	0
-股份	5	286
-网络	384	387
-肥城	483	0
-胶业	1	248
-联想	348	2
-翁牛	611	0
-胜利	1525	3
-肇庆	712	1
-塑料厂	1	16262
-经销	9	1728
-胶厂	0	407
-国贸部	0	491
-制作室	0	325
-绵阳	1209	2
-凉山州	377	0
-郁南县	539	0
-全椒县	241	0
-美丽	596	7
-美业	14	191
-网店	69	696
-美国	10202	8
-有限公	0	375
-光泽县	631	0
-经理	3	269
-绿源	269	1
-耀县	333	0
-翔宇	202	2
-红十字会	3	300
-纺织	88	122
-纽约	339	0
-联兴	216	1
-组织	0	4735
-联合	701	18
-衢州市	4534	2
-经营	50	96114
-联创	261	3
-农技站	0	235
-精诚	410	1
-牡丹江	3145	0
-曲靖市	1683	0
-纸业	23	3188
-研究会	0	602
-绍兴	5628	6
-经典	202	11
-维修	13	974
-制作部	0	743
-纸厂	2	2033
-绣坊	0	213
-研究室	0	956
-软管厂	0	320
-编厂	0	339
-绥化	243	3
-禄丰县	250	0
-纪委	1	735
-绵厂	0	474
-置业	5	281
-研究所	3	20380
-网厂	0	462
-怀远县	998	0
-红旗	238	1
-红星	442	2
-红日	211	0
-制刷厂	0	1036
-粮站	0	1641
-杂货店	2	382
-桃源县	1021	0
-精品	244	115
-米业	0	492
-邢台县	293	0
-直销部	0	1004
-核电站	0	248
-太仓市	1115	0
-精工	207	18
-分公司	1	155089
-糖厂	0	447
-邢台市	3777	0
-粮店	0	1065
-粮库	0	541
-梅江区	380	0
-私营	132	136
-管业	5	490
-大丰市	973	0
-专科学校	0	283
-外交部	71	572
-辽源市	317	0
-党支部	0	363
-林西县	222	0
-神龙	234	2
-大会堂	0	1182
-科达	234	2
-侯马市	801	0
-慈溪市	8254	0
-章丘	335	0
-大冶市	234	0
-福清	240	1
-空军	170	118
-朝阳市	3121	1
-固镇县	298	0
-大使馆	1	403
-科技	193	3530
-团风县	240	0
-第九	252	0
-第二	212	10
-信阳市	2184	0
-邵东县	441	0
-私人	197	4
-种业	1	330
-shanghai	213	0
-祥和	258	1
-神华	221	0
-祁县	400	0
-礼品	48	268
-祥云	224	0
-舒城县	921	0
-科委	2	218
-福建	26602	16
-福州	26428	18
-科协	2	286
-辰溪县	207	0
-朝阳县	847	0
-出口部	0	1285
-私厂	0	704
-福大	246	3
-神州	600	1
-昆明市	3747	2
-宜昌县	247	0
-西部	398	9
-旅游局	0	329
-议会	0	1077
-宜昌市	7903	1
-沁阳市	1920	1
-记协	0	225
-北票市	261	0
-晋州市	682	0
-诚信	2310	9
-装饰	61	624
-制钉厂	0	223
-西藏	2812	2
-吉安市	333	0
-台州市	13069	0
-衡阳	2208	3
-沈阳市	9074	2
-西安	30286	27
-西宁	5505	5
-宜春市	234	0
-湖州市	1663	1
-襄樊	1501	0
-沅陵县	357	0
-设计	59	577
-白银市	830	0
-越南	554	3
-贵州	22019	6
-普宁市	590	0
-赤峰	4000	1
-赣州	979	1
-货栈	0	220
-贸易	107	1167
-足协	0	459
-制造部	0	226
-台山市	592	0
-资兴	317	0
-翁源县	604	0
-山东省	28632	3
-许昌	2690	1
-经贸委	4	726
-象山	497	1
-海盐县	632	0
-设备	17	758
-计委	2	756
-清新县	640	0
-诸城	358	1
-远东	562	4
-达县	560	0
-江阴市	6414	1
-运动	46	200
-高平市	305	0
-南海市	1110	0
-新沂市	477	0
-资阳	340	0
-江门市	16266	4
-超越	471	0
-新河县	207	0
-代表大会	0	552
-辉县	213	0
-密山市	1208	0
-足联	0	211
-车业	2	720
-高州市	555	0
-软件	37	208
-贵阳	7149	12
-句容市	369	0
-马来西亚	267	0
-制造厂	0	17454
-统计局	1	401
-发展部	0	377
-温州市	12485	0
-涟源市	631	0
-货运	28	677
-经贸部	1	342
-织造厂	0	1312
-南江县	303	0
-石河子	1170	1
-汽配部	0	255
-汤阴县	251	0
-超市	23	7398
-宿州市	3471	1
-辽阳	5610	1
-通讯	43	676
-网络部	0	1017
-温岭市	2923	0
-富平县	202	0
-金华	3926	7
-金利	237	1
-酒家	1	305
-酒店	53	6133
-无棣县	302	0
-车间	1	579
-车队	0	267
-酒厂	2	4823
-鄂州	608	0
-通用	379	11
-郴州	1693	1
-邹平	631	0
-安新县	202	0
-郑州	33874	38
-酒业	5	1507
-配件	6	569
-双峰县	817	0
-叶城县	221	0
-轮胎	84	187
-郧县	690	0
-郏县	375	0
-印染厂	0	359
-车站	6	215
-远洋	234	3
-邢台	5102	4
-辽河	222	0
-。。。	269	120
-遂宁	242	0
-辉煌	706	4
-通州	243	0
-遵义	515	1
-道县	336	0
-汽配厂	0	552
-通化	383	0
-远大	586	2
-选厂	0	321
-达州	349	0
-通信	85	209
-辽宁	19290	15
-运城	1213	0
-舰店	0	546
-花厂	0	308
-苍南	1310	1
-宝清县	381	1
-苗圃	5	2278
-花店	1	525
-英国	1630	1
-茂名	1337	1
-范县	714	0
-茶业	2	898
-茶厂	0	2087
-苏州	35249	47
-茶场	0	436
-药业	9	2105
-腾达	651	10
-芜湖	1893	1
-荣县	755	0
-荷兰	319	0
-荣华	201	0
-药厂	2	293
-联盟	86	1174
-百货店	1	771
-联社	0	235
-卫生站	0	523
-昆山市	4285	0
-化肥厂	4	483
-张家口市	4853	0
-温宿县	307	0
-高密市	750	2
-联合会	0	996
-船厂	1	296
-联邦	326	289
-联通	288	110
-联合国	2101	0
-航天	387	2
-舟山	541	1
-蒲县	203	0
-菏泽	4190	5
-蒙古	259	0
-莆田	6000	1
-蓝天	880	3
-茶行	0	851
-肇东市	307	1
-卫生室	0	830
-莱芜	2469	2
-蔚县	455	0
-蓝星	273	1
-晋城市	2936	0
-荆门	881	1
-联合社	0	599
-经营处	0	1678
-腾飞	887	4
-芷江	210	0
-莘县	206	0
-荆州	1387	2
-经营店	0	683
-茶店	0	217
-茶庄	2	1461
-莒县	1686	1
-经营户	0	548
-腾龙	332	1
-药房	0	1938
-营业	6	212
-药店	2	4946
-自贡	2037	0
-荣成	295	1
-南皮县	595	0
-萍乡	272	1
-萧县	554	0
-营口	1727	0
-博白县	953	0
-莱州	736	2
-湖北省	15709	0
-绣花厂	0	780
-安理会	88	670
-江都市	1970	0
-湖南省	16716	1
-宁波市	13981	1
-罗田县	499	0
-宁津县	585	0
-蚌埠	5564	2
-经营者	0	315
-客服部	0	554
-周口市	1004	1
-剑阁县	1757	0
-绥芬河	205	0
-经营部	2	106515
-宁海县	1888	0
-莱阳	324	0
-藤县	572	0
-蓝色	238	0
-蓬莱	238	0
-博物馆	1	362
-齐齐哈尔	2442	0
-营销	23	205
-深州市	485	0
-衡水	7058	0
-新昌县	580	0
-渭南市	964	2
-浠水县	909	0
-衣店	2	309
-宿松县	450	0
-衢州	3354	6
-装饰部	0	1058
-淮安市	11048	1
-浦江县	1561	0
-西北	923	1
-西南	638	4
-济源市	2332	0
-浙江省	19599	2
-湘乡市	664	0
-蠡县	326	2
-宣汉县	456	0
-博爱县	620	0
-袜厂	0	423
-袜业	3	1149
-衢县	570	0
-羽绒厂	0	246
-飞达	421	1
-高原	106	283
-飞跃	279	1
-涂装厂	0	231
-制药厂	0	1194
-政治局	0	2559
-高密	229	1
-昌吉市	623	0
-绵阳市	813	0
-香港	35798	164
-香河	341	1
-顺通	202	2
-顺达	625	5
-飞翔	492	0
-巴勒斯坦	391	0
-顺风	221	1
-研发部	0	751
-湛江市	7651	2
-飞龙	436	0
-首钢	236	8
-滕州市	2092	0
-揭阳市	3659	0
-加盟店	0	364
-首都	361	1
-晋中市	203	0
-射洪县	582	0
-施工队	1	589
-张家港市	5533	0
-政治部	0	224
-连云港市	6142	0
-鸿兴	250	1
-鸿发	301	0
-南平市	4285	0
-内销部	0	438
-昌图县	833	0
-敖汉旗	272	0
-鹰潭	386	1
-滁州市	2875	2
-即墨市	390	0
-黄岩	742	2
-黄山	2426	3
-南宫市	1345	0
-鸿泰	244	1
-人民法院	4	1735
-屠宰场	1	207
-黑厂	0	229
-鹤山	245	0
-鹤岗	658	0
-南安市	724	0
-南宁市	5303	2
-黄冈	384	1
-醴陵市	377	0
-鹤壁	1085	0
-石家庄	24420	31
-淀粉厂	0	472
-鸿图	216	1
-设备部	0	356
-鼎盛	368	1
-砀山县	727	1
-鸿达	427	2
-鸿运	624	2
-双代店	0	217
-黄石	457	2
-龙岩	1628	0
-鸡西	847	0
-黑河	279	0
-共青团	426	10
-鹏程	543	1
-黄河	558	3
-龙口	382	1
-黎明	214	3
-医学院	1	264
-龙翔	268	3
-麒麟	250	2
-明光市	948	0
-麻阳	215	1
-shenzhen	382	0
-设备厂	0	29713
-龙海	232	3
-龙泉	303	1
-龙游	662	0
-鹏飞	306	0
-胶州市	263	0
-泗阳县	873	0
-富源县	441	0
-齐鲁	444	0
-酒泉	486	1
-金山	389	7
-重庆	42274	20
-金川	358	0
-金店	2	380
-金城	280	3
-连锁	11	365
-通道	345	2
-酒楼	0	1166
-通辽	266	1
-通达	639	12
-文安县	1161	4
-金昌	583	0
-金星	362	1
-金德	262	0
-肇州县	223	0
-金泰	271	1
-金海	261	2
-邯郸	3522	0
-酿酒厂	0	438
-金源	520	2
-启东市	763	0
-金桥	266	2
-邵阳	540	1
-金盛	256	1
-老河口	203	0
-部门	0	3826
-部队	2	491
-秦皇岛市	7361	0
-凤阳县	618	1
-金色	300	0
-金辉	333	0
-金诚	266	1
-采购	32	331
-金鑫	682	5
-尤溪县	930	0
-合作社	0	11024
-经销商	0	450
-金马	246	1
-北流市	1683	0
-金龙	619	3
-金鼎	273	2
-金鹏	257	1
-经销处	0	18609
-北海市	2353	0
-凯里市	638	0
-钢厂	3	1599
-铝业	9	797
-南昌市	2950	1
-鑫宇	223	0
-铁厂	2	504
-合作部	0	294
-锁业	2	403
-铝厂	2	358
-滦南县	344	0
-钦州	622	0
-鑫旺	216	0
-销售	85	3218
-铁岭	2314	0
-鑫源	863	1
-银川	5443	3
-鑫海	243	0
-鑫泰	236	1
-铜川	395	1
-长兴	1119	1
-清流县	273	0
-长乐	327	0
-肇庆市	1292	0
-鑫盛	317	1
-锦州	1864	2
-长城	1228	25
-银河	452	1
-河间市	408	0
-长安	435	6
-门业	2	1749
-饮食店	0	228
-铁矿	13	343
-镇江	8707	6
-鑫鑫	681	0
-鑫隆	271	1
-鑫达	454	1
-锦程	204	1
-清水县	204	0
-门市	2	4254
-长江	1277	3
-长沙	20962	23
-经销部	0	18837
-长治	1130	1
-洗衣店	0	276
-长春	3565	5
-阳光	2186	21
-雅安	344	0
-铜陵	2203	0
-沭阳县	2200	0
-阳泉	1404	0
-阳江	605	0
-养鸡场	1	212
-陈氏	327	0
-长葛	234	0
-随州	791	3
-鑫龙	211	1
-集团	10	42892
-新化县	786	0
-清河县	1176	0
-销部	0	206
-雄县	1256	0
-新加坡	916	2
-铁路	83	318
-防总	0	288
-监督局	0	263
-阜新	3229	1
-铁通	209	5
-铁道	376	0
-揭西县	268	0
-银行	8	5080
-青岛	62975	42
-霸州	315	1
-陶瓷	64	142
-非凡	236	0
-青县	759	0
-鞋业	18	3557
-台前县	483	0
-隆昌	272	1
-长虹	318	10
-靖江	666	1
-宜章县	232	0
-陕西	28110	3
-韩国	3309	2
-阳谷	255	1
-音响	20	270
-鞋店	2	760
-韶关	1499	2
-鞍山	4026	3
-攀枝花	289	0
-胶南市	233	0
-制衣厂	0	6194
-靖州	259	0
-青州	780	1
-顺兴	250	0
-顺发	611	3
-监理站	0	250
-青海	7750	4
-非洲	265	0
-阜阳	326	0
-零部	0	228
-青藏	287	0
-餐厅	0	836
-飞天	213	1
-顺昌	203	2
-食品	137	257
-顺德	1991	6
-饰品	54	234
-鞍钢	495	0
-香厂	0	244
-鞋行	3	235
-靖远	206	0
-青铜	720	0
-飞扬	308	6
-饭店	4	2475
-乡镇企业局	0	204
-杭州市	3337	0
-南京市	3030	1
-孝义市	233	1
-略阳县	309	0
-澄城县	380	0
-曲沃县	432	1
-南乐县	565	0
-潜山县	717	1
-曲江县	517	0
-罗定市	1077	0
-潮安县	2187	0
-子公司	0	262
-鄢陵县	613	0
-加拿大	1041	1
-杂志社	1	564
-时装店	1	353
-公证处	0	233
-新郑市	215	0
-省政府	1	317
-内衣厂	0	672
-包头市	12943	0
-来安县	412	0
-制片厂	0	214
-大酒店	0	1428
-繁育场	0	333
-罗平县	360	0
-出版署	0	226
-大通县	233	0
-大连市	2533	1
-林口县	448	0
-加工部	0	1999
-漳平市	817	0
-北京都	244	0
-机床厂	1	1243
-北京鑫	1023	0
-清苑县	216	0
-漳州市	7053	0
-出版社	0	2763
-北京鹏	339	0
-外贸部	1	7356
-内蒙古	20790	2
-太谷县	265	0
-元谋县	281	0
-海门市	862	0
-村委会	4	2783
-夏邑县	262	0
-旅行社	2	3836
-分理处	0	278
-加油城	0	228
-内贸部	6	639
-化州市	322	0
-旺苍县	661	0
-装璜部	0	351
-平分公司	0	204
-宁化县	427	0
-十堰市	1737	0
-化工厂	7	14746
-林业局	23	1406
-朔州市	1242	0
-制管厂	0	294
-眉山市	1089	1
-张家界市	689	0
-电镀厂	0	1100
-潍坊市	3360	1
-新西兰	204	1
-加油站	3	17666
-海运部	0	224
-加油点	0	540
-浏阳市	614	0
-采石厂	0	626
-襄樊市	813	0
-化工部	43	376
-宝丰县	426	0
-limite	0	818
-湘潭县	1096	0
-奥运会	2	340
-滨州市	2431	0
-湘潭市	5386	0
-白灰厂	0	294
-洛阳市	4965	2
-太阳能	229	306
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diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/core.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/core.dic
deleted file mode 100644
index 4213fad27..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/core.dic
+++ /dev/null
@@ -1,111153 +0,0 @@
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-12296	〈	65536	-1	3	{w=5}
-12297	〉	65536	-1	3	{w=5}
-12298	《	65536	-1	3	{w=1940}
-12299	》	65536	-1	3	{w=1940}
-12302	『	65536	-1	3	{v=0, w=698}
-12303	』	65536	-1	3	{w=698}
-12304	【	65536	-1	3	{w=0}
-12305	】	65536	-1	3	{w=0}
-12308	〔	65536	-1	3	{w=0}
-12309	〕	65536	-1	3	{m=0, w=0}
-19968	一	65536	-1	2	{d=249, j=1, m=7084, n=0, q=0}
-19969	丁	65615	-1	2	{mg=0, ng=0, nr=2, o=0, vg=2}
-19971	七	65636	-1	2	{m=91}
-19975	万	65652	-1	2	{d=2, j=0, m=372, ng=0, nr=0}
-19976	丈	65547	-1	2	{q=2}
-19977	三	71201	-1	2	{b=0, m=1102, nr=0}
-19978	上	72646	-1	2	{f=3049, j=1, n=0, ng=1, nr=0, u=0, v=745}
-19979	下	75387	-1	2	{f=951, n=0, ng=1, q=16, r=0, v=332}
-19981	不	82577	-1	2	{a=0, d=4090, v=0}
-19982	与	65868	-1	2	{c=1217, n=1, p=1684, v=0, vg=2, y=0}
-19984	丐	65536	-1	2	{n=0}
-19985	丑	65750	-1	2	{a=3, an=0, j=0, ng=1}
-19987	专	69242	-1	2	{a=6, d=16, j=0, ng=0, vg=0}
-19988	且	65873	-1	2	{c=45, d=8}
-19989	丕	65536	-1	3	{n=0}
-19990	世	67096	-1	2	{ng=30, q=0}
-19992	丘	65866	-1	2	{ng=0, nr=0, q=0}
-19993	丙	65910	-1	2	{mg=0}
-19994	业	65886	-1	2	{d=0, j=1, k=1, n=0, ng=9, nr=0}
-19995	丛	65880	-1	2	{ng=0, nr=0, q=0}
-19996	东	74018	-1	2	{f=86, j=6, nr=0}
-19997	丝	65926	-1	2	{n=4, q=10}
-19998	丞	65540	-1	1	null
-20002	丢	65909	-1	2	{v=18}
-20004	两	67211	-1	2	{m=1952, n=0, q=2}
-20005	严	66307	-1	2	{a=13, ad=6, nr=0}
-20007	丧	65943	-1	2	{ng=0, vg=3}
-20010	个	65927	-1	2	{n=0, ng=1, q=2631, u=1}
-20011	丫	65575	-1	2	{n=0, ng=0}
-20013	中	85204	-1	2	{a=0, b=1, f=3234, j=449, nr=0, p=1, tg=0, v=13}
-20016	丰	66787	-1	2	{ag=8, ng=0, nr=0}
-20018	串	65819	-1	2	{n=3, q=13, v=15}
-20020	临	70847	-1	2	{j=0, p=0, v=26, vg=1}
-20024	丸	65572	-1	2	{ng=0, q=0}
-20025	丹	66048	-1	2	{j=0, ng=0, nr=0}
-20026	为	66517	-1	2	{c=0, d=0, p=2468, u=0, v=2272, vg=1, y=0}
-20027	主	83859	-1	2	{ad=0, ag=4, b=1, j=0, n=17, nr=0, v=0, vg=1}
-20029	丽	65825	-1	2	{ag=1, nr=0, vg=0}
-20030	举	67583	-1	2	{ag=0, ng=11, v=25}
-20035	乃	65995	-1	2	{c=2, d=0, r=0, v=15}
-20037	久	66076	-1	2	{a=19, ad=12, d=1, ng=11}
-20039	乇	65536	-1	3	{q=0}
-20040	么	65536	-1	3	{nr=0, y=2}
-20041	义	70252	-1	2	{ng=2, nr=0, nt=0}
-20043	之	66052	-1	2	{a=0, nr=0, r=124, u=1021, vg=1}
-20044	乌	72199	-1	2	{ag=0, j=21, ng=0, nr=0, r=0}
-20045	乍	65548	-1	2	{d=3, v=0}
-20046	乎	65536	-1	3	{e=0, k=0, p=0, u=0, y=5}
-20047	乏	65573	-1	2	{a=0, v=0, vg=1}
-20048	乐	72371	-1	2	{a=16, ad=2, an=2, ng=2, nr=0, v=10, vg=0}
-20050	乒	65995	-1	2	{j=0, o=0}
-20051	乓	65536	-1	3	{o=0}
-20052	乔	65615	-1	2	{ag=0, ng=0, nr=1}
-20054	乖	66006	-1	2	{a=1}
-20056	乘	66335	-1	2	{p=15, v=22}
-20057	乙	67364	-1	2	{m=0, mg=1, n=0, ng=1}
-20060	乜	65536	-1	2	{nr=0}
-20061	九	67300	-1	2	{j=13, m=116, nr=0}
-20062	乞	66135	-1	1	null
-20063	也	65559	-1	2	{c=0, d=2770, j=0, nr=0, u=3, v=2, y=24}
-20064	习	67088	-1	2	{ng=1, nr=0, v=0, vg=1}
-20065	乡	67209	-1	2	{j=0, n=139, q=4}
-20070	书	83813	-1	2	{n=196, ng=3, r=0, vg=6}
-20073	乩	65536	-1	3	{x=0}
-20080	买	67418	-1	2	{v=220}
-20081	乱	70704	-1	2	{a=20, an=0, d=53, v=2, vn=0}
-20083	乳	70862	-1	2	{ng=0, vg=0}
-20094	乾	65536	-1	2	{j=0, ng=0}
-20102	了	66131	-1	2	{ul=10234, v=81, vn=0, y=1242}
-20104	予	65887	-1	2	{rg=1, v=0, vg=9}
-20105	争	68489	-1	2	{j=1, ng=0, v=52, vd=0, vg=1, vn=16}
-20107	事	74254	-1	2	{n=233, v=0, vg=1}
-20108	二	78138	-1	2	{m=403, nr=1}
-20109	亍	65536	-1	3	{x=0}
-20110	于	66007	-1	2	{d=1, n=0, ng=0, nr=3, p=1131, v=0}
-20111	亏	66014	-1	2	{n=1, ng=2, v=11, vn=4}
-20113	云	72895	-1	2	{j=5, n=16, nr=1, vg=4}
-20114	互	68276	-1	2	{d=24}
-20115	亓	65536	-1	3	{nr=0}
-20116	五	84404	-1	2	{m=351}
-20117	井	67866	-1	2	{n=23, nr=0}
-20120	亘	65626	-1	1	null
-20122	亚	74721	-1	2	{h=0, j=38, vg=4}
-20123	些	65536	-1	2	{q=120}
-20127	亟	65552	-1	2	{d=0}
-20129	亡	65565	-1	2	{v=0, vg=9}
-20130	亢	65559	-1	2	{nr=0}
-20132	交	83178	-1	2	{ng=25, v=109}
-20133	亥	65536	-1	1	null
-20134	亦	65626	-1	2	{d=40, k=0, nr=0}
-20135	产	73342	-1	2	{j=1, ng=3, v=46, vn=0}
-20136	亨	65536	-1	3	{nr=0}
-20137	亩	66024	-1	2	{q=214}
-20139	享	66113	-1	2	{v=0, vg=6}
-20140	京	71599	-1	2	{f=0, j=235, nr=0}
-20141	亭	66022	-1	2	{ng=1}
-20142	亮	66341	-1	2	{a=21, ng=0, nr=1, v=25}
-20146	亲	75484	-1	2	{a=5, ad=3, b=0, d=0, n=0, ng=5, v=6}
-20147	亳	65538	-1	2	{x=0}
-20149	亵	65536	-1	1	null
-20154	人	89095	-1	2	{n=2707, q=0, r=0, v=1}
-20159	亿	65601	-1	2	{m=67}
-20160	什	66169	-1	1	null
-20161	仁	67261	-1	2	{ag=0, ng=0}
-20162	仂	65536	-1	3	{n=0}
-20163	仃	65536	-1	3	{x=0}
-20164	仄	65539	-1	1	null
-20165	仅	66089	-1	2	{d=282}
-20166	仆	66089	-1	2	{ng=0}
-20167	仇	66320	-1	2	{n=0, nr=0, vg=0}
-20169	仉	65536	-1	3	{nr=0}
-20170	今	71273	-1	2	{rg=0, tg=43}
-20171	介	66421	-1	2	{ng=0, nr=0, vg=0}
-20173	仍	65570	-1	2	{d=305}
-20174	从	82123	-1	2	{c=0, d=3, nr=0, p=2029, v=0, vg=0}
-20177	仑	65536	-1	3	{n=0}
-20179	仓	66934	-1	2	{ng=1, nr=0}
-20180	仔	66069	-1	2	{b=0, ng=0}
-20181	仕	65575	-1	2	{n=0}
-20182	他	68136	-1	2	{n=2, r=2823, v=0}
-20183	仗	66192	-1	2	{n=8, ng=0, q=0, v=1}
-20184	付	67485	-1	2	{nr=0, q=0, v=19}
-20185	仙	67531	-1	2	{ng=0}
-20189	仝	65536	-1	3	{nr=0}
-20190	仞	65536	-1	3	{q=0}
-20191	仟	65609	-1	2	{m=0}
-20193	仡	65910	-1	1	null
-20195	代	75277	-1	2	{n=3, nr=0, q=95, v=29, vd=0, vn=0}
-20196	令	66115	-1	2	{n=3, ng=1, q=0, v=205, vg=0, vn=0}
-20197	以	83133	-1	2	{c=278, j=132, p=1952, v=0}
-20200	仨	65536	-1	3	{m=1}
-20202	仪	66338	-1	2	{k=1, ng=0}
-20203	仫	65946	-1	1	null
-20204	们	65536	-1	3	{k=828}
-20208	仰	67283	-1	2	{nr=0, v=5}
-20210	仲	65705	-1	2	{nr=0}
-20211	仳	65536	-1	3	{x=0}
-20213	仵	65536	-1	3	{nr=0, x=0}
-20214	件	65544	-1	2	{ng=1, q=268}
-20215	价	66910	-1	2	{n=29, ng=0}
-20219	任	73030	-1	2	{c=4, n=0, ng=2, nr=1, p=0, q=11, rg=0, v=97}
-20221	份	65692	-1	2	{ng=1, q=157}
-20223	仿	67116	-1	2	{n=1, v=7}
-20225	企	66517	-1	2	{j=0, ng=3, vg=0}
-20233	伉	65834	-1	2	{nr=0}
-20234	伊	74169	-1	2	{j=99, nr=0, rg=2}
-20237	伍	66040	-1	2	{m=1, ng=0, nr=0}
-20238	伎	65837	-1	2	{ng=0}
-20239	伏	70434	-1	2	{nr=0, q=0, v=1, vn=0}
-20240	伐	65658	-1	2	{v=0, vn=0}
-20241	休	70909	-1	2	{d=0, v=3}
-20247	众	69778	-1	2	{ag=3, j=1, n=0, ng=11}
-20248	优	72312	-1	2	{ad=0, ag=26, an=0, ng=1, vg=0}
-20249	伙	66032	-1	2	{ng=1, q=10}
-20250	会	84828	-1	2	{n=12, v=864, vn=0}
-20251	伛	65706	-1	2	{v=0}
-20254	伞	65679	-1	2	{n=11}
-20255	伟	66501	-1	2	{ag=2, nr=4}
-20256	传	84426	-1	2	{n=1, ng=4, v=33, vn=0}
-20260	伤	69405	-1	2	{n=5, v=22, vn=0}
-20261	伥	65537	-1	1	null
-20262	伦	65639	-1	2	{ng=0, nr=0}
-20263	伧	65536	-1	3	{x=0}
-20266	伪	69392	-1	2	{ag=2, h=0, j=4}
-20267	伫	65539	-1	2	{vg=1}
-20271	伯	67430	-1	2	{ng=0, nr=0}
-20272	估	67084	-1	2	{v=3}
-20276	伴	67264	-1	2	{ng=0, v=15}
-20278	伶	66344	-1	1	null
-20280	伸	67147	-1	2	{v=8}
-20282	伺	65823	-1	1	null
-20284	似	66577	-1	2	{d=18, u=1, vd=0, vg=22}
-20285	伽	65613	-1	1	null
-20291	佃	65658	-1	2	{v=0}
-20294	但	66432	-1	2	{c=1197, d=11, v=0}
-20301	位	66674	-1	2	{ng=17, nr=0, q=818}
-20302	低	85480	-1	2	{a=226, ad=3, an=10, v=9}
-20303	住	69098	-1	2	{v=224, vn=1}
-20304	佐	66341	-1	2	{vg=0}
-20305	佑	65591	-1	1	null
-20307	体	84958	-1	2	{j=1, k=0, n=1, ng=8}
-20309	何	74205	-1	2	{nr=14, q=0, r=24, rg=0}
-20311	佗	65536	-1	3	{n=0}
-20312	佘	65536	-1	3	{nr=0}
-20313	余	81742	-1	2	{m=297, ng=14, nr=1, r=0, rg=0, v=1, vn=0}
-20314	佚	66522	-1	2	{vg=0}
-20315	佛	76628	-1	2	{n=6}
-20316	作	87909	-1	2	{ng=12, v=320, vg=2}
-20317	佝	66034	-1	1	null
-20318	佞	66484	-1	1	null
-20319	佟	65536	-1	3	{nr=0}
-20320	你	67339	-1	2	{r=571, v=0}
-20323	佣	66490	-1	2	{ng=1}
-20324	佤	65541	-1	2	{j=0}
-20325	佥	65536	-1	3	{n=0}
-20327	佧	65536	-1	3	{x=0}
-20329	佩	66381	-1	2	{v=0}
-20332	佬	65536	-1	3	{ng=1}
-20335	佯	65599	-1	1	null
-20336	佰	65536	-1	3	{m=0}
-20339	佳	74282	-1	2	{a=20, an=0, j=0, nr=0}
-20340	佴	65536	-1	3	{n=0}
-20342	佶	65536	-1	3	{n=0}
-20347	佻	65536	-1	3	{n=0}
-20348	佼	66293	-1	1	null
-20350	佾	65536	-1	3	{n=0}
-20351	使	72706	-1	2	{j=0, ng=0, v=1317, vn=0}
-20355	侃	66298	-1	2	{ag=0, v=0, vg=0}
-20356	侄	65966	-1	1	null
-20360	侈	65550	-1	2	{vg=0}
-20363	例	67709	-1	2	{n=34, ng=1, q=8}
-20365	侍	68085	-1	2	{nr=0, vg=0}
-20367	侏	65895	-1	1	null
-20369	侑	65536	-1	3	{n=0}
-20372	侔	65536	-1	3	{n=0}
-20375	侗	66594	-1	2	{j=0}
-20379	供	73403	-1	2	{j=0, ng=0, v=49, vn=0}
-20381	依	72981	-1	2	{ng=0, nr=0, p=4, v=11}
-20384	侠	66638	-1	2	{ng=0, nr=0}
-20387	侣	66389	-1	1	null
-20389	侥	65558	-1	1	null
-20390	侦	65719	-1	2	{vg=0}
-20391	侧	73026	-1	2	{f=1, ng=0, q=0, v=1, vd=0}
-20392	侨	67731	-1	2	{j=2, ng=5, nr=0}
-20393	侩	65536	-1	3	{n=0}
-20394	侪	65536	-1	3	{n=0}
-20396	侬	65536	-1	3	{n=0}
-20398	侮	65539	-1	2	{vg=0}
-20399	侯	65563	-1	2	{ng=0, nr=0}
-20405	侵	66610	-1	2	{vg=0}
-20415	便	80080	-1	2	{a=1, ag=1, c=1, d=299, ng=7, v=0, vg=0}
-20419	促	66412	-1	2	{ag=0, v=23}
-20420	俄	68598	-1	2	{j=340}
-20421	俅	65536	-1	3	{x=0}
-20426	俊	66521	-1	2	{a=0, nr=1}
-20430	俎	65536	-1	3	{nr=0}
-20431	俏	66753	-1	2	{a=2, ad=1, v=0}
-20432	俐	65536	-1	3	{x=0}
-20433	俑	65537	-1	2	{ng=0}
-20439	俗	67848	-1	2	{a=3, ad=0, ng=0}
-20440	俘	65539	-1	2	{ng=0, v=0, vg=0}
-20442	俚	66325	-1	1	null
-20444	俜	65536	-1	3	{x=0}
-20445	保	86989	-1	2	{j=0, ng=0, nr=0, v=33, vn=0}
-20446	俞	65536	-1	3	{nr=2}
-20447	俟	65536	-1	3	{x=0}
-20449	信	86902	-1	2	{ag=0, d=0, n=62, nr=0, v=11}
-20451	俣	65536	-1	3	{x=0}
-20454	俦	65536	-1	3	{n=0}
-20456	俨	65564	-1	1	null
-20457	俩	65536	-1	3	{m=16, x=0}
-20458	俪	65536	-1	3	{n=0}
-20461	俭	65683	-1	2	{ag=0}
-20462	修	78839	-1	2	{j=0, ng=0, nr=0, v=30, vn=0}
-20463	俯	67252	-1	2	{v=1, vg=0}
-20465	俱	66752	-1	2	{dg=7}
-20467	俳	65806	-1	2	{ag=0, ng=0}
-20472	俸	65536	-1	2	{nr=0}
-20474	俺	66624	-1	2	{r=18}
-20478	俾	65556	-1	2	{vg=0}
-20492	倌	65536	-1	3	{n=0}
-20493	倍	66171	-1	2	{d=5, m=0, q=111}
-20495	倏	65566	-1	2	{dg=0}
-20498	倒	84949	-1	2	{d=14, v=44}
-20500	倔	65660	-1	2	{a=0}
-20504	倘	66999	-1	2	{c=7}
-20505	候	65848	-1	2	{nr=0, v=2}
-20506	倚	67105	-1	2	{v=4}
-20508	倜	65536	-1	3	{x=0}
-20511	借	82509	-1	2	{p=5, v=47, vn=0}
-20513	倡	65542	-1	2	{vg=0}
-20517	倥	65536	-1	3	{x=0}
-20518	倦	65633	-1	2	{a=2}
-20520	倨	66182	-1	2	{ag=0}
-20521	倩	65536	-1	2	{nr=1, v=0}
-20522	倪	65536	-1	3	{nr=0, x=0}
-20524	倬	65536	-1	3	{n=0}
-20525	倭	65570	-1	2	{ng=0}
-20526	倮	65536	-1	3	{n=0}
-20538	债	67741	-1	2	{n=9}
-20540	值	66090	-1	2	{a=0, n=27, ng=0, v=14, vg=1}
-20542	倾	71298	-1	2	{ng=0, v=9, vn=0}
-20547	偃	65732	-1	1	null
-20551	假	84793	-1	2	{a=61, ad=4, an=0, n=6, ng=0, v=0, vg=1}
-20552	偈	65536	-1	3	{n=0}
-20556	偌	65661	-1	2	{r=0}
-20558	偎	66959	-1	2	{v=0}
-20559	偏	82982	-1	2	{a=29, d=29, v=3}
-20565	偕	65830	-1	2	{vg=0}
-20570	做	79807	-1	2	{v=542, vn=0}
-20572	停	83390	-1	2	{q=0, v=63, vn=0}
-20581	健	72979	-1	2	{ag=0, nr=5, v=0, vg=0}
-20588	偬	65536	-1	3	{x=0}
-20598	偶	71125	-1	2	{b=0, d=2, n=0}
-20599	偷	81930	-1	2	{d=0, j=0, ng=0, v=7, vn=0}
-20603	偻	65536	-1	3	{x=0}
-20606	偾	65536	-1	3	{n=0}
-20607	偿	67187	-1	2	{ng=0, vg=3}
-20608	傀	66598	-1	1	null
-20613	傅	66532	-1	2	{nr=1}
-20616	傈	66647	-1	2	{nr=0}
-20621	傍	65538	-1	2	{v=0, vn=0}
-20643	傣	67472	-1	2	{j=0}
-20645	傥	65536	-1	3	{c=0, x=0}
-20647	傧	65566	-1	1	null
-20648	储	68969	-1	2	{ng=0, nr=0, v=0, vg=2}
-20649	傩	65536	-1	3	{n=0}
-20652	催	75238	-1	2	{v=17}
-20658	傲	65580	-1	2	{a=3, ad=0, ag=0}
-20666	傺	65536	-1	3	{x=0}
-20667	傻	73884	-1	2	{a=2, an=0}
-20687	像	65549	-1	2	{d=6, n=7, nr=0, p=87, v=174}
-20694	僖	65536	-1	3	{n=0}
-20698	僚	65692	-1	1	null
-20710	僦	65536	-1	3	{n=0}
-20711	僧	67289	-1	2	{n=0, ng=0}
-20716	僬	65536	-1	3	{x=0}
-20717	僭	65536	-1	3	{n=0}
-20723	僳	65536	-1	3	{x=0}
-20725	僵	66988	-1	2	{a=1, ad=0}
-20731	僻	65759	-1	2	{ag=1}
-20742	儆	65536	-1	3	{n=0}
-20743	儇	65536	-1	3	{n=0}
-20747	儋	65669	-1	2	{n=0}
-20754	儒	66423	-1	2	{j=0, ng=1}
-20769	儡	65536	-1	3	{x=0}
-20799	儿	67356	-1	2	{k=0, n=0, ng=1}
-20800	兀	65558	-1	2	{ag=0}
-20801	允	65691	-1	2	{vg=1}
-20803	元	84301	-1	2	{n=1, nr=0, q=1536, tg=5}
-20804	兄	65547	-1	2	{ng=1}
-20805	充	73454	-1	2	{nr=0, v=3}
-20806	兆	65694	-1	2	{m=0, ng=0, vg=1}
-20808	先	86740	-1	2	{a=0, ag=0, d=147, f=0, j=0, ng=2, v=0, vg=0}
-20809	光	90751	-1	2	{a=8, d=17, n=24, nr=1, v=4}
-20811	克	83382	-1	2	{j=1, nr=0, q=18, v=0, vg=2}
-20813	免	78906	-1	2	{d=11, v=17, vd=0, vn=0}
-20817	兑	67708	-1	2	{v=48}
-20820	兔	66944	-1	2	{ng=5}
-20821	兕	65536	-1	3	{n=0}
-20822	兖	65681	-1	2	{n=0}
-20826	党	85533	-1	2	{j=0, n=794, nr=0}
-20828	兜	68028	-1	2	{n=0, q=1, v=3}
-20834	兢	66674	-1	1	null
-20837	入	90655	-1	2	{v=110, vn=0}
-20840	全	92082	-1	2	{a=251, an=0, d=54, n=0, nr=0, q=0}
-20843	八	85236	-1	2	{m=211}
-20844	公	95953	-1	2	{ad=0, b=5, j=1, ng=7, nr=0, r=0, vg=0}
-20845	六	75088	-1	2	{j=0, m=138}
-20846	兮	65536	-1	3	{y=2}
-20848	兰	67029	-1	2	{j=4, ng=2, nr=0}
-20849	共	82436	-1	2	{d=388, j=3, ng=0, v=0, vg=7}
-20851	关	85734	-1	2	{j=1, n=9, nr=3, v=12, vn=0}
-20852	兴	88879	-1	2	{a=0, ng=1, nr=0, v=51, vn=0}
-20853	兵	86238	-1	2	{n=38, nr=1}
-20854	其	77325	-1	2	{p=0, r=816, u=24}
-20855	具	67742	-1	2	{ng=1, q=3, v=0, vg=52}
-20856	典	68046	-1	2	{ng=1}
-20857	兹	65538	-1	2	{rg=1}
-20859	养	83391	-1	2	{ng=0, nr=0, v=51, vn=0}
-20860	兼	81915	-1	2	{v=130}
-20861	兽	68213	-1	2	{ng=1}
-20864	冀	68155	-1	2	{j=3, nr=0, vg=0}
-20865	冁	65536	-1	3	{n=0}
-20869	内	97438	-1	2	{f=524, j=0, n=0, r=0}
-20872	冈	65591	-1	1	null
-20873	冉	66873	-1	2	{nr=0}
-20876	册	67611	-1	2	{n=0, ng=1, q=34}
-20877	再	76901	-1	2	{b=0, d=610, v=1, vg=0}
-20882	冒	77362	-1	2	{nr=0, p=0, v=64, vd=0}
-20885	冕	65536	-1	3	{ng=0}
-20887	冗	67663	-1	2	{ag=0}
-20889	写	76947	-1	2	{j=0, v=279, vn=0}
-20891	军	97884	-1	2	{j=2, n=84, nr=1}
-20892	农	91592	-1	2	{j=5, ng=23, nr=0}
-20896	冠	72341	-1	2	{j=2, ng=1, v=2}
-20898	冢	65536	-1	3	{ng=0}
-20900	冤	70458	-1	2	{a=0, an=0, j=0, ng=0, v=1, vn=0}
-20901	冥	66200	-1	2	{ng=0}
-20908	冬	85356	-1	2	{nr=0, o=0, tg=31}
-20911	冯	65536	-1	3	{m=0, nr=1, x=0}
-20912	冰	91909	-1	2	{j=0, n=32, nr=0, v=1}
-20913	冱	65536	-1	3	{n=0}
-20914	冲	86050	-1	2	{a=0, j=0, n=0, nr=0, p=0, v=41}
-20915	决	79663	-1	2	{d=4, v=0, vg=4}
-20917	况	68040	-1	2	{ng=0, nr=0, vg=0}
-20918	冶	65582	-1	2	{vg=1}
-20919	冷	92169	-1	2	{a=20, ad=0, an=0, ng=1, nr=2}
-20923	冻	70355	-1	2	{ng=0, v=15, vn=0}
-20924	冼	65536	-1	3	{nr=0}
-20925	冽	65536	-1	3	{n=0}
-20928	净	73502	-1	2	{a=20, b=0, d=2, j=0, ng=0}
-20932	凄	71525	-1	2	{ag=0}
-20934	准	79129	-1	2	{a=29, d=2, h=2, ng=0, v=4}
-20935	凇	65536	-1	3	{x=0}
-20937	凉	81855	-1	2	{a=0, ad=0, j=0, ng=0, v=0}
-20939	凋	65604	-1	2	{vg=1}
-20940	凌	71477	-1	2	{ng=0, nr=2, vg=1}
-20943	减	86491	-1	2	{v=53, vd=0, vn=0}
-20945	凑	71055	-1	2	{v=20}
-20955	凛	67162	-1	1	null
-20957	凝	68999	-1	2	{vg=2}
-20960	几	72963	-1	2	{d=1, j=4, m=775, ng=0, r=0}
-20961	凡	70961	-1	2	{ag=0, d=50, r=2}
-20964	凤	70264	-1	2	{ng=2, nr=0}
-20971	凫	65555	-1	1	null
-20973	凭	73979	-1	2	{c=0, n=0, ng=0, p=22, v=8}
-20975	凯	68582	-1	2	{ng=0, nr=1}
-20976	凰	65536	-1	3	{ng=0, x=0}
-20979	凳	65917	-1	2	{ng=1}
-20982	凶	81955	-1	2	{a=1, ng=0}
-20984	凸	67773	-1	2	{ag=2, vg=0}
-20985	凹	67582	-1	2	{a=0}
-20986	出	101162	-1	2	{q=19, v=1215, vg=1, vn=0}
-20987	击	76754	-1	2	{ng=0, vg=6}
-20988	凼	65536	-1	3	{n=0}
-20989	函	68571	-1	2	{n=4}
-20991	凿	67380	-1	2	{ng=0, v=6}
-20992	刀	85388	-1	2	{n=14, nr=0, q=14}
-20993	刁	65647	-1	2	{a=1, nr=0}
-20995	刃	67380	-1	2	{ng=1}
-20998	分	102220	-1	2	{a=0, b=0, d=3, dg=2, j=0, n=9, ng=0, p=0, q=199, v=136, vd=0, vg=1, vn=0}
-20999	切	85781	-1	2	{ag=0, d=12, v=14, vn=0}
-21000	刈	65555	-1	2	{vg=1}
-21002	刊	71270	-1	2	{ng=2, vg=2}
-21005	刍	65544	-1	1	null
-21006	刎	65536	-1	3	{n=0}
-21009	刑	74318	-1	2	{j=0, n=5, nr=0}
-21010	划	80951	-1	2	{n=0, v=20}
-21014	刖	65536	-1	3	{n=0}
-21015	列	78873	-1	2	{n=8, ng=1, nr=0, q=4, v=33}
-21016	刘	70484	-1	2	{nr=15}
-21017	则	65536	-1	3	{c=151, d=183, f=0, ng=0, q=11}
-21018	刚	80968	-1	2	{a=0, ag=2, d=104, j=0, nr=0, q=0}
-21019	创	85588	-1	2	{ng=3, nr=0, v=0, vg=114}
-21021	初	94601	-1	2	{d=38, f=123, j=0, m=2, ng=23, nr=0, t=0, tg=0}
-21024	删	67380	-1	2	{v=0}
-21028	判	73693	-1	2	{v=4, vn=0}
-21032	刨	68466	-1	2	{v=2}
-21033	利	88983	-1	2	{ag=0, j=0, n=35, ng=4, nr=0, v=0, vg=5}
-21035	别	85447	-1	2	{d=48, ng=0, nr=0, r=1, v=2, vn=1}
-21037	刭	65536	-1	3	{n=0}
-21038	刮	69961	-1	2	{v=21}
-21040	到	81737	-1	2	{c=0, f=0, n=0, p=503, v=2335, vn=0}
-21043	刳	65536	-1	3	{n=0}
-21046	制	89218	-1	2	{k=1, n=0, ng=0, v=17, vn=0}
-21047	刷	67816	-1	2	{o=1, v=2}
-21048	券	66914	-1	2	{ng=0}
-21049	刹	68321	-1	2	{v=3}
-21050	刺	86558	-1	2	{n=0, o=0, v=12}
-21051	刻	79653	-1	2	{q=0, v=11}
-21053	刽	65976	-1	1	null
-21055	刿	65536	-1	3	{n=0}
-21056	剀	65536	-1	3	{x=0}
-21057	剁	65536	-1	3	{v=2}
-21058	剂	66946	-1	2	{ng=1, q=0}
-21059	剃	67636	-1	2	{v=2}
-21066	削	68525	-1	2	{v=3, vn=0}
-21068	剌	65536	-1	3	{v=0}
-21069	前	99949	-1	2	{f=745, h=2, p=1, q=0, v=4, vg=0}
-21072	剐	65536	-1	3	{v=0}
-21073	剑	70038	-1	2	{n=5, nr=0}
-21076	剔	67684	-1	2	{n=0, v=0}
-21078	剖	68366	-1	2	{v=1}
-21084	剜	65556	-1	2	{v=0}
-21086	剞	65536	-1	3	{x=0}
-21089	剡	65538	-1	2	{v=0}
-21093	剥	68292	-1	2	{v=3}
-21095	剧	80958	-1	2	{dg=0, n=25, ng=1}
-21097	剩	70559	-1	2	{v=10}
-21098	剪	82705	-1	2	{ng=2, v=6, vn=0}
-21103	副	87328	-1	2	{b=926, j=1, n=0, q=27}
-21106	割	74318	-1	2	{v=18}
-21117	剽	67900	-1	1	null
-21119	剿	69134	-1	2	{v=0}
-21121	劁	65536	-1	3	{v=0}
-21122	劂	65536	-1	3	{x=0}
-21128	劈	76782	-1	2	{n=0, v=5}
-21136	劐	65536	-1	3	{v=0}
-21139	劓	65536	-1	3	{n=0}
-21147	力	85112	-1	2	{an=0, d=0, dg=0, n=17, nr=2, v=0, vg=3}
-21149	劝	72651	-1	2	{v=13, vn=0}
-21150	办	79228	-1	2	{j=2, ng=0, v=344, vn=0}
-21151	功	86344	-1	2	{n=28}
-21152	加	97663	-1	2	{j=26, v=65, vn=0}
-21153	务	70126	-1	2	{d=0, dg=2, ng=0, vg=0}
-21154	劢	65536	-1	3	{n=0}
-21155	劣	70718	-1	2	{a=0, ag=1, ng=0}
-21160	动	92636	-1	2	{a=0, j=0, v=63, vn=0}
-21161	助	84814	-1	2	{v=28, vn=0}
-21162	努	68263	-1	2	{v=1}
-21163	劫	73966	-1	2	{n=0, ng=0, v=1}
-21164	劬	65536	-1	3	{n=0}
-21165	劭	65536	-1	3	{n=0}
-21169	励	68648	-1	2	{nr=0, vg=1}
-21170	劲	70487	-1	2	{ad=0, ag=1, dg=0, n=12}
-21171	劳	87996	-1	2	{j=0, ng=3, nr=0, v=3, vn=0}
-21182	劾	65536	-1	3	{n=0}
-21183	势	78622	-1	2	{n=0, ng=12}
-21187	勃	69661	-1	2	{ag=0}
-21191	勇	77359	-1	2	{ad=0, ag=4, d=0, n=0, nr=1}
-21193	勉	69359	-1	2	{dg=0, vg=0}
-21195	勋	69423	-1	2	{ng=1}
-21200	勐	65536	-1	2	{n=0}
-21202	勒	68634	-1	2	{q=0, v=5}
-21206	勖	65536	-1	3	{n=0}
-21208	勘	66993	-1	2	{vg=1}
-21215	募	68015	-1	2	{vg=0}
-21220	勤	75302	-1	2	{a=3, ad=1, ng=1, nr=0}
-21232	勰	65536	-1	3	{n=0}
-21242	勺	68036	-1	2	{ng=0, q=1}
-21246	勾	74947	-1	2	{ng=0, nr=0, v=4}
-21247	勿	66601	-1	2	{d=4}
-21248	匀	69700	-1	2	{a=0, v=0}
-21253	包	92861	-1	2	{j=0, n=8, nr=0, q=12, v=61}
-21254	匆	69098	-1	1	null
-21256	匈	65982	-1	2	{j=6}
-21261	匍	67612	-1	1	null
-21263	匏	65536	-1	3	{x=0}
-21264	匐	65536	-1	3	{x=0}
-21269	匕	65540	-1	1	null
-21270	化	88298	-1	2	{j=2, k=2, n=0, ng=0, nr=0, v=13, vn=0}
-21271	北	102065	-1	2	{f=43, j=0, vg=0}
-21273	匙	66030	-1	1	null
-21277	匝	65536	-1	3	{q=0, vg=0}
-21280	匠	69262	-1	2	{ng=0}
-21281	匡	65566	-1	2	{nr=0, vg=0}
-21283	匣	66043	-1	1	null
-21286	匦	65536	-1	3	{n=0}
-21290	匪	70519	-1	2	{dg=2, ng=0}
-21294	匮	69376	-1	2	{vg=0}
-21305	匹	66602	-1	2	{q=3, vg=1}
-21306	区	84872	-1	2	{n=147, ng=0, nr=0}
-21307	医	84760	-1	2	{j=1, ng=5, v=0}
-21310	匾	65619	-1	2	{n=1}
-21311	匿	67922	-1	2	{vg=0}
-21313	十	93357	-1	2	{m=252}
-21315	千	94506	-1	2	{j=0, m=154}
-21317	卅	65536	-1	3	{m=0}
-21319	升	88042	-1	2	{n=0, q=0, v=42, vn=1}
-21320	午	74412	-1	2	{tg=0}
-21321	卉	65536	-1	3	{ng=0}
-21322	半	100630	-1	2	{m=161}
-21326	华	96073	-1	2	{ag=0, j=51, ng=1, nr=3}
-21327	协	76094	-1	2	{dg=0, vg=0}
-21329	卑	71857	-1	2	{ag=1}
-21330	卒	70606	-1	2	{dg=0, ng=0, vg=0}
-21331	卓	69758	-1	2	{ag=0, nr=0}
-21333	单	103688	-1	2	{a=0, ag=1, b=16, d=21, dg=1, j=1, k=0, n=2, ng=3, nr=2}
-21334	卖	89529	-1	2	{v=112, vn=0}
-21335	南	103092	-1	2	{f=80, j=60, nr=0}
-21338	博	87164	-1	2	{ag=0, j=0, ng=0, nr=0, vg=0}
-21340	卜	69708	-1	2	{ng=0, nr=0, vg=1}
-21342	卞	65536	-1	3	{nr=0}
-21343	卟	65536	-1	3	{x=0}
-21344	占	79869	-1	2	{nr=1, v=382, vg=0}
-21345	卡	91416	-1	2	{j=0, n=11, ng=0, q=0, v=5, vn=0}
-21346	卢	71791	-1	2	{j=1, nr=0}
-21347	卣	65536	-1	3	{n=0}
-21348	卤	73423	-1	2	{n=0, v=0}
-21350	卦	65536	-1	3	{n=0, q=0}
-21351	卧	76005	-1	2	{v=8, vn=0}
-21355	卫	74891	-1	2	{j=0, ng=0, nr=0, v=0}
-21358	卮	65536	-1	3	{n=0}
-21359	卯	70397	-1	1	null
-21360	印	92338	-1	2	{j=24, n=1, ng=2, nr=0, v=32}
-21361	危	85336	-1	2	{ag=1, j=0, ng=0, nr=0, vg=0}
-21363	即	84631	-1	2	{c=45, d=61, v=102}
-21364	却	71157	-1	2	{c=1, d=496, vg=1}
-21365	卵	76486	-1	2	{n=0}
-21367	卷	88435	-1	2	{ng=7, q=29, v=5}
-21368	卸	72466	-1	2	{v=7, vn=0}
-21370	卺	65536	-1	3	{n=0}
-21375	卿	69855	-1	2	{ng=1, nr=0}
-21378	厂	86763	-1	2	{n=142}
-21380	厄	67664	-1	2	{j=0}
-21381	厅	70296	-1	2	{n=11}
-21382	历	79671	-1	2	{d=2, ng=0, nr=0, v=0, vg=3}
-21385	厉	70503	-1	2	{ag=0, nr=0}
-21387	压	92095	-1	2	{v=34, vn=0}
-21388	厌	71389	-1	2	{vg=5}
-21389	厍	65536	-1	3	{n=0}
-21397	厕	66148	-1	2	{ng=0}
-21400	厘	65538	-1	2	{q=0}
-21402	厚	85622	-1	2	{a=17, ad=1, v=0}
-21405	厝	65554	-1	1	null
-21407	原	102803	-1	2	{b=103, d=44, j=0, ng=0, nr=0}
-21410	厢	66199	-1	2	{ng=1, q=0}
-21411	厣	65536	-1	3	{n=0}
-21413	厥	65539	-1	2	{r=0}
-21414	厦	70041	-1	2	{j=1, ng=0}
-21416	厨	70514	-1	2	{ng=5}
-21417	厩	65545	-1	1	null
-21422	厮	66186	-1	1	null
-21430	厶	65536	-1	3	{n=0}
-21435	去	84473	-1	2	{v=590, vn=0}
-21439	县	89876	-1	2	{n=286}
-21441	叁	65536	-1	3	{m=0}
-21442	参	91609	-1	2	{j=3, n=0, ng=0, vg=0}
-21448	又	69651	-1	2	{c=256, d=1060, m=2, v=1}
-21449	叉	68015	-1	2	{n=0, v=0}
-21450	及	70583	-1	2	{c=660, nr=0, v=19, vn=1}
-21451	友	80165	-1	2	{ag=0, n=1, ng=9}
-21452	双	103768	-1	2	{m=64, ng=0, nr=0, q=19}
-21453	反	106919	-1	2	{b=0, d=2, f=0, ng=0, v=269}
-21457	发	108120	-1	2	{ng=2, q=4, v=188, vg=1, vn=0}
-21460	叔	72280	-1	2	{n=2}
-21462	取	93701	-1	2	{v=57, vn=1}
-21463	受	100798	-1	2	{p=0, v=284}
-21464	变	100875	-1	2	{a=1, v=183, vn=7}
-21465	叙	72986	-1	2	{j=2, v=6}
-21467	叛	74889	-1	1	null
-21471	叟	65536	-1	3	{n=0}
-21472	叠	72451	-1	2	{q=1, v=5}
-21475	口	102041	-1	2	{f=0, n=38, q=68}
-21476	古	106012	-1	2	{a=46, an=0, j=1, nr=0, tg=10}
-21477	句	71518	-1	2	{n=0, ng=1, q=117}
-21478	另	72847	-1	2	{d=37, r=124}
-21480	叨	71081	-1	1	null
-21481	叩	71891	-1	2	{vg=1}
-21482	只	84953	-1	2	{c=0, d=466, q=134}
-21483	叫	85857	-1	2	{n=0, p=0, v=129}
-21484	召	71660	-1	2	{ng=0, nr=0, vg=1}
-21485	叭	71997	-1	2	{o=0}
-21486	叮	71277	-1	2	{v=3}
-21487	可	106429	-1	2	{c=45, d=54, v=535}
-21488	台	104083	-1	2	{j=35, n=22, ng=1, q=177}
-21489	叱	71208	-1	1	null
-21490	史	85355	-1	2	{j=0, n=0, ng=16, nr=3}
-21491	右	78321	-1	2	{a=1, f=39}
-21493	叵	65612	-1	1	null
-21494	叶	87290	-1	2	{j=5, n=0, ng=4, nr=3, q=1, v=0}
-21495	号	85863	-1	2	{m=0, n=55, ng=0, q=89, v=2}
-21496	司	85472	-1	2	{j=1, n=0, ng=8, nr=0, vg=0}
-21497	叹	72971	-1	2	{v=9, vg=0, vn=0}
-21499	叻	65536	-1	3	{n=0}
-21500	叼	65536	-1	3	{v=0}
-21501	叽	71433	-1	2	{o=0}
-21505	吁	65683	-1	2	{e=0, o=0, vg=0}
-21507	吃	100727	-1	2	{v=312, vn=1}
-21508	各	101576	-1	2	{r=687}
-21510	吆	71188	-1	2	{v=0}
-21512	合	106773	-1	2	{j=0, q=0, v=55, vd=0}
-21513	吉	93530	-1	2	{ag=2, j=24, nr=0}
-21514	吊	97451	-1	2	{q=0, v=6}
-21516	同	109303	-1	2	{c=0, d=64, j=2, nr=0, p=528, v=23, vn=0}
-21517	名	112233	-1	2	{ag=0, n=2, ng=39, q=932, vg=2}
-21518	后	110633	-1	2	{f=1434, ng=2, nr=0, t=0}
-21519	吏	66146	-1	2	{ng=0}
-21520	吐	80151	-1	2	{j=3, v=11}
-21521	向	85016	-1	2	{dg=0, n=0, ng=0, nr=0, p=1317, v=10}
-21522	吒	65536	-1	3	{n=0}
-21523	吓	73964	-1	2	{e=0, v=4}
-21525	吕	72903	-1	2	{nr=1}
-21526	吖	65536	-1	3	{x=0}
-21527	吗	72144	-1	2	{r=0, y=112}
-21531	君	74164	-1	2	{n=1, ng=2, nr=0, v=0}
-21533	吝	72152	-1	2	{vg=0}
-21534	吞	79089	-1	2	{v=4}
-21535	吟	72391	-1	2	{v=3, vg=0, vn=0}
-21536	吠	69617	-1	2	{vg=0}
-21537	吡	72162	-1	1	null
-21539	吣	65536	-1	3	{v=0}
-21542	否	73137	-1	2	{vg=2, y=1}
-21543	吧	72331	-1	2	{o=0, y=70}
-21544	吨	73747	-1	2	{n=0, q=227}
-21545	吩	72398	-1	1	null
-21547	含	86234	-1	2	{v=37}
-21548	听	93487	-1	2	{n=1, q=0, v=126, vn=0}
-21549	吭	72392	-1	2	{v=1}
-21550	吮	72535	-1	2	{v=0}
-21551	启	83243	-1	2	{nr=0, v=4, vg=1}
-21553	吱	72562	-1	2	{o=0}
-21554	吲	65536	-1	3	{x=0}
-21556	吴	75432	-1	2	{nr=7, tg=0}
-21557	吵	72083	-1	2	{v=6}
-21560	吸	84641	-1	2	{v=8}
-21561	吹	86262	-1	2	{v=25}
-21563	吻	72655	-1	2	{v=3}
-21564	吼	74192	-1	2	{v=5}
-21566	吾	68088	-1	2	{r=5}
-21568	呀	65536	-1	3	{e=0, o=0, y=40}
-21571	呃	65536	-1	3	{e=0, y=0}
-21574	呆	76986	-1	2	{a=0, ad=0, v=11}
-21576	呈	76826	-1	2	{v=63}
-21578	告	92534	-1	2	{v=13}
-21579	呋	72302	-1	1	null
-21584	呐	72301	-1	2	{y=1}
-21587	呓	65701	-1	1	null
-21588	呔	65536	-1	3	{e=0}
-21589	呕	72684	-1	2	{y=1}
-21590	呖	72616	-1	1	null
-21591	呗	65536	-1	3	{y=2}
-21592	员	72978	-1	2	{k=0, n=0, ng=2, q=10}
-21593	呙	65536	-1	3	{nr=0}
-21595	呛	65538	-1	2	{v=3}
-21596	呜	74164	-1	2	{o=0}
-21602	呢	72405	-1	2	{y=196}
-21604	呤	65536	-1	3	{x=0}
-21606	呦	65536	-1	3	{e=0}
-21608	周	99608	-1	2	{ag=0, n=0, ng=5, nr=50, q=44, r=0, tg=1}
-21617	呱	72676	-1	1	null
-21618	呲	65536	-1	3	{v=0}
-21619	味	73472	-1	2	{ng=15, q=5, vg=0}
-21621	呵	73472	-1	2	{e=1, v=0, y=7}
-21622	呶	65536	-1	3	{n=0}
-21623	呷	65536	-1	3	{v=1}
-21624	呸	65536	-1	3	{e=1}
-21627	呻	72699	-1	1	null
-21628	呼	90742	-1	2	{j=1, o=1, v=4}
-21629	命	85103	-1	2	{n=8, ng=0, v=0, vg=1}
-21632	咀	72158	-1	1	null
-21634	咂	72297	-1	2	{v=0}
-21636	咄	72730	-1	1	null
-21638	咆	72632	-1	1	null
-21643	咋	72747	-1	2	{r=11}
-21644	和	96192	-1	2	{ag=1, c=10694, n=2, ng=1, nr=0, p=209, q=0, v=9}
-21646	咎	65680	-1	2	{ng=0}
-21647	咏	73174	-1	1	null
-21648	咐	65536	-1	3	{x=0}
-21650	咒	65705	-1	2	{ng=0, v=0}
-21652	咔	73004	-1	2	{o=0}
-21653	咕	72879	-1	2	{o=0}
-21654	咖	72650	-1	1	null
-21657	咙	65536	-1	3	{x=0}
-21658	咚	72842	-1	2	{o=0}
-21659	咛	65536	-1	3	{x=0}
-21661	咝	73707	-1	2	{o=0}
-21667	咣	65536	-1	3	{o=0}
-21668	咤	65536	-1	3	{x=0}
-21670	咦	65536	-1	3	{e=0}
-21671	咧	65536	-1	3	{v=1, y=0}
-21672	咨	68526	-1	1	null
-21673	咩	65536	-1	3	{o=0}
-21674	咪	72836	-1	1	null
-21675	咫	70898	-1	1	null
-21676	咬	77758	-1	2	{v=7}
-21677	咭	65536	-1	3	{o=0}
-21679	咯	72985	-1	2	{v=0, y=0}
-21681	咱	74350	-1	2	{r=24}
-21683	咳	72532	-1	2	{e=0, v=0}
-21684	咴	65536	-1	3	{x=0}
-21688	咸	78736	-1	2	{a=1, ng=0, nr=0}
-21691	咻	65536	-1	3	{n=0}
-21693	咽	75458	-1	2	{ng=0, v=1}
-21695	咿	73015	-1	1	null
-21696	哀	93877	-1	2	{ag=0, vg=0}
-21697	品	89220	-1	2	{k=0, n=0, ng=0, q=1, v=7, vg=0}
-21698	哂	65549	-1	2	{vg=0}
-21700	哄	76664	-1	2	{o=0, v=6, vn=0}
-21702	哆	72619	-1	1	null
-21703	哇	72924	-1	2	{o=0, y=6}
-21704	哈	93075	-1	2	{e=0, j=65, nr=0, o=0, v=0}
-21705	哉	65536	-1	3	{y=5}
-21708	哌	72672	-1	1	null
-21709	响	76144	-1	2	{a=16, an=0, q=1, v=18, vn=0}
-21710	哎	73200	-1	2	{e=4}
-21712	哐	72793	-1	2	{o=0}
-21713	哑	74658	-1	2	{o=0, v=0}
-21714	哒	65536	-1	3	{o=0, x=0}
-21715	哓	72971	-1	1	null
-21716	哔	73188	-1	1	null
-21717	哕	65536	-1	3	{n=0}
-21719	哗	74478	-1	2	{o=0, vg=0}
-21721	哙	65536	-1	3	{n=0}
-21722	哚	65536	-1	3	{x=0}
-21724	哜	65536	-1	3	{n=0}
-21725	哝	65536	-1	3	{x=0}
-21726	哞	65536	-1	3	{o=0}
-21727	哟	65536	-1	3	{e=1, y=6}
-21733	哥	81375	-1	2	{j=3, n=3}
-21734	哦	65536	-1	3	{e=4, o=1}
-21735	哧	65536	-1	3	{o=0}
-21736	哨	84093	-1	2	{ng=1, q=0}
-21737	哩	72979	-1	2	{e=0, q=0, y=10}
-21738	哪	76439	-1	2	{r=47, y=3}
-21741	哭	77808	-1	2	{v=12, vn=0}
-21742	哮	72826	-1	1	null
-21746	哲	75254	-1	2	{ng=0, nr=0}
-21747	哳	65536	-1	3	{x=0}
-21754	哺	74870	-1	2	{vg=1}
-21756	哼	73275	-1	2	{e=1, v=4}
-21757	哽	73058	-1	2	{v=0}
-21759	哿	65536	-1	3	{n=0}
-21761	唁	74110	-1	1	null
-21766	唆	74401	-1	1	null
-21767	唇	75034	-1	2	{ng=0}
-21769	唉	71989	-1	2	{e=0}
-21775	唏	72720	-1	1	null
-21776	唐	83074	-1	2	{j=0, nr=0, nt=0, tg=4}
-21777	唑	65536	-1	3	{x=0}
-21780	唔	65536	-1	3	{y=0}
-21787	唛	65536	-1	3	{n=0}
-21792	唠	73471	-1	2	{v=0}
-21794	唢	73368	-1	1	null
-21795	唣	65536	-1	3	{x=0}
-21796	唤	72848	-1	2	{vg=3}
-21799	唧	73257	-1	2	{v=0}
-21802	唪	65536	-1	3	{n=0}
-21804	唬	74813	-1	2	{v=0}
-21806	售	79090	-1	2	{v=18, vn=0}
-21807	唯	85175	-1	2	{d=7}
-21809	唱	86633	-1	2	{ng=0, nr=0, v=108}
-21811	唳	65536	-1	3	{n=0}
-21815	唷	65536	-1	3	{x=0}
-21820	唼	65536	-1	3	{x=0}
-21822	唾	71039	-1	2	{v=0}
-21823	唿	65536	-1	3	{x=0}
-21825	啁	65536	-1	3	{x=0}
-21827	啃	74942	-1	2	{v=8}
-21828	啄	68608	-1	2	{v=0}
-21830	商	107196	-1	2	{j=2, n=10, nr=0, tg=3, v=0, vg=4}
-21833	啉	65536	-1	3	{x=0}
-21834	啊	73490	-1	2	{e=3, y=69}
-21840	啐	65536	-1	3	{e=0, v=0}
-21845	啕	65536	-1	3	{n=0}
-21846	啖	65536	-1	3	{vg=1}
-21852	啜	67162	-1	2	{vg=0}
-21857	啡	65536	-1	3	{x=0}
-21860	啤	65542	-1	1	null
-21861	啥	71670	-1	2	{r=32}
-21862	啦	73188	-1	2	{y=26}
-21863	啧	73189	-1	2	{e=0, o=0}
-21866	啪	65666	-1	2	{o=1}
-21868	啬	65536	-1	3	{ag=0}
-21869	啭	65536	-1	3	{n=0}
-21870	啮	73548	-1	2	{vg=0}
-21877	啵	65536	-1	3	{y=0}
-21878	啶	65536	-1	3	{x=0}
-21879	啷	65536	-1	3	{x=0}
-21880	啸	65536	-1	3	{v=2}
-21883	啻	65536	-1	3	{n=0}
-21884	啼	73471	-1	2	{v=0}
-21886	啾	65536	-1	3	{x=0}
-21888	喀	77479	-1	2	{j=0, o=0}
-21889	喁	65536	-1	3	{n=0}
-21890	喂	74237	-1	2	{e=0, v=14}
-21891	喃	73197	-1	1	null
-21892	善	90204	-1	2	{ag=5, dg=6, ng=2, v=0, vg=0}
-21895	喇	73692	-1	2	{nr=0, x=0}
-21896	喈	65536	-1	3	{x=0}
-21897	喉	77228	-1	2	{ng=6}
-21898	喊	74306	-1	2	{v=15}
-21899	喋	73265	-1	1	null
-21903	喏	65536	-1	3	{e=0, x=0}
-21905	喑	73457	-1	1	null
-21908	喔	65536	-1	3	{e=0, o=0}
-21912	喘	74431	-1	2	{v=3}
-21913	喙	65536	-1	3	{ng=0}
-21916	喜	104628	-1	2	{ag=1, ng=9, v=47, vd=3}
-21917	喝	76176	-1	2	{e=0, vg=49, vn=0}
-21919	喟	65536	-1	3	{n=0}
-21927	喧	75502	-1	2	{ag=0, vg=0}
-21937	喱	65536	-1	3	{x=0}
-21939	喳	73362	-1	2	{o=0}
-21941	喵	65536	-1	3	{o=0}
-21943	喷	96164	-1	2	{v=10}
-21945	喹	73488	-1	1	null
-21947	喻	75296	-1	2	{ng=0, nr=0, vg=1}
-21949	喽	65669	-1	2	{u=0, y=1}
-21950	喾	65536	-1	3	{n=0}
-21956	嗄	65536	-1	3	{e=0}
-21957	嗅	74287	-1	2	{v=2}
-21961	嗉	71950	-1	1	null
-21964	嗌	65536	-1	3	{n=0}
-21965	嗍	65536	-1	3	{v=0}
-21969	嗑	65536	-1	3	{v=0}
-21970	嗒	65536	-1	3	{o=0}
-21971	嗓	71959	-1	2	{ng=0, q=0}
-21972	嗔	70740	-1	1	null
-21974	嗖	73355	-1	2	{o=1}
-21980	嗜	76128	-1	2	{vg=0}
-21981	嗝	74547	-1	1	null
-21983	嗟	73853	-1	1	null
-21985	嗡	73367	-1	2	{o=0}
-21987	嗣	73836	-1	2	{ng=1}
-21988	嗤	75322	-1	2	{vg=0}
-21989	嗥	65536	-1	3	{n=0}
-21990	嗦	65536	-1	3	{x=0}
-21992	嗨	73630	-1	2	{e=2}
-21994	嗪	65536	-1	3	{n=0}
-21995	嗫	73371	-1	1	null
-21996	嗬	73644	-1	2	{e=2}
-21999	嗯	65536	-1	3	{e=0}
-22002	嗲	72608	-1	1	null
-22003	嗳	65536	-1	3	{e=0}
-22005	嗵	65536	-1	3	{o=0}
-22007	嗷	73376	-1	1	null
-22013	嗽	73901	-1	1	null
-22014	嗾	65536	-1	3	{n=0}
-22016	嘀	73757	-1	1	null
-22017	嘁	73376	-1	1	null
-22024	嘈	73374	-1	1	null
-22025	嘉	86788	-1	2	{j=3}
-22028	嘌	65536	-1	3	{n=0}
-22030	嘎	73397	-1	2	{o=0}
-22031	嘏	65536	-1	3	{n=0}
-22040	嘘	73908	-1	2	{e=0, v=0}
-22043	嘛	65536	-1	3	{y=12}
-22046	嘞	65536	-1	3	{y=0}
-22047	嘟	73713	-1	2	{o=0}
-22051	嘣	65536	-1	3	{o=0}
-22052	嘤	65536	-1	3	{o=0}
-22055	嘧	65536	-1	3	{x=0}
-22060	嘬	65536	-1	3	{v=0}
-22061	嘭	65536	-1	3	{o=1}
-22065	嘱	73839	-1	2	{vg=1}
-22066	嘲	71099	-1	2	{vg=0}
-22068	嘴	75458	-1	2	{n=16}
-22070	嘶	74265	-1	2	{o=0, vg=0}
-22073	嘹	75286	-1	1	null
-22075	嘻	73364	-1	2	{e=0, o=0}
-22079	嘿	73354	-1	2	{e=2}
-22092	噌	65536	-1	3	{o=2, x=0}
-22093	噍	65536	-1	3	{vg=0}
-22094	噎	75185	-1	2	{v=0}
-22100	噔	65536	-1	3	{o=0}
-22103	噗	73446	-1	2	{o=0}
-22104	噘	73368	-1	2	{v=0}
-22105	噙	65536	-1	3	{v=4}
-22108	噜	65537	-1	1	null
-22114	噢	65536	-1	3	{e=1, y=0}
-22116	噤	73968	-1	1	null
-22120	器	76147	-1	2	{k=0, n=0, ng=0}
-22121	噩	69010	-1	1	null
-22122	噪	72681	-1	2	{ng=0, vg=0}
-22123	噫	65536	-1	3	{e=0}
-22124	噬	65623	-1	2	{vg=0}
-22129	噱	72638	-1	1	null
-22134	噶	65536	-1	3	{x=0}
-22139	噻	73964	-1	1	null
-22140	噼	73625	-1	1	null
-22149	嚅	65536	-1	3	{x=0}
-22150	嚆	65536	-1	3	{x=0}
-22158	嚎	74011	-1	2	{v=0}
-22159	嚏	73542	-1	1	null
-22163	嚓	65536	-1	3	{o=0}
-22179	嚣	71137	-1	2	{vg=0}
-22191	嚯	65536	-1	3	{e=0}
-22199	嚷	73297	-1	2	{v=1}
-22204	嚼	65544	-1	2	{v=1}
-22218	囊	75790	-1	2	{ng=1}
-22228	囔	73274	-1	1	null
-22234	囚	75665	-1	2	{vg=1}
-22235	四	109924	-1	2	{m=405}
-22238	回	110592	-1	2	{j=6, ng=0, nr=0, q=23, v=132}
-22239	囟	65789	-1	1	null
-22240	因	90203	-1	2	{c=20, n=0, ng=0, p=333, v=1}
-22241	囡	73952	-1	1	null
-22242	团	103030	-1	2	{j=1, n=45, q=4, v=0}
-22244	囤	65547	-1	2	{ng=0, v=1}
-22251	囫	74013	-1	1	null
-22253	园	84536	-1	2	{ng=5, q=0}
-22256	困	84380	-1	2	{a=3, an=1, ng=0, v=7, vn=1}
-22257	囱	65536	-1	3	{x=0}
-22260	围	101793	-1	2	{ng=0, q=0, v=46, vd=0}
-22261	囵	65536	-1	3	{x=0}
-22265	囹	74027	-1	1	null
-22266	固	85765	-1	2	{ag=0, dg=2, j=4, vg=5}
-22269	国	114655	-1	2	{j=2, m=0, n=801, ng=0, nr=0, q=0}
-22270	图	102301	-1	2	{n=229, v=13}
-22271	囿	76413	-1	2	{vg=3}
-22275	圃	65536	-1	3	{ng=0}
-22276	圄	65536	-1	3	{x=0}
-22278	圆	101861	-1	2	{a=6, an=0, n=4, q=0, v=3, vg=14}
-22280	圈	76455	-1	2	{n=4, ng=0, q=12, v=5}
-22281	圉	65536	-1	3	{n=0}
-22282	圊	65536	-1	3	{n=0}
-22300	圜	65536	-1	3	{x=0}
-22303	土	113602	-1	2	{a=0, j=10, n=40}
-22307	圣	108970	-1	2	{ag=0, j=7, ng=0, nr=0}
-22312	在	96988	-1	2	{c=0, d=284, f=0, p=11481, r=0, v=257}
-22313	圩	74474	-1	1	null
-22314	圪	76064	-1	1	null
-22316	圬	65536	-1	3	{n=0}
-22317	圭	76823	-1	2	{j=0}
-22318	圮	65536	-1	3	{n=0}
-22319	圯	65536	-1	3	{n=0}
-22320	地	116319	-1	2	{j=1, n=257, nr=0, uv=2121, v=0}
-22329	圹	65536	-1	3	{ng=0}
-22330	场	92044	-1	2	{k=0, ng=12, q=237}
-22331	圻	65536	-1	3	{n=0}
-22334	圾	65536	-1	3	{x=0}
-22336	址	65536	-1	3	{ng=0}
-22338	坂	77244	-1	2	{n=1}
-22343	均	78496	-1	2	{ag=3, d=193}
-22346	坊	65536	-1	3	{ng=2}
-22348	坌	65536	-1	3	{n=0}
-22349	坍	74613	-1	2	{v=0}
-22350	坎	84770	-1	2	{ng=2}
-22351	坏	79337	-1	2	{a=23, v=0}
-22352	坐	105769	-1	2	{n=0, v=114, vd=0, vn=0}
-22353	坑	86032	-1	2	{n=15, v=2}
-22359	块	76509	-1	2	{m=0, ng=6, q=124}
-22362	坚	91760	-1	2	{a=1, ad=0, ng=0, nr=0}
-22363	坛	75351	-1	2	{ng=1, q=0}
-22364	坜	65536	-1	3	{ng=0}
-22365	坝	79579	-1	2	{n=1, q=0}
-22366	坞	77271	-1	2	{ng=0}
-22367	坟	77464	-1	2	{n=0}
-22368	坠	76796	-1	2	{v=4}
-22369	坡	75057	-1	2	{n=12}
-22372	坤	65599	-1	1	null
-22374	坦	81891	-1	2	{ag=0, j=3}
-22376	坨	73996	-1	2	{q=0, v=0}
-22377	坩	74884	-1	1	null
-22378	坪	77398	-1	2	{ng=1, v=0}
-22379	坫	65536	-1	3	{n=0}
-22381	坭	65536	-1	3	{n=0}
-22383	坯	75611	-1	2	{n=0, ng=0}
-22387	坳	65536	-1	3	{n=0}
-22390	坶	65536	-1	3	{x=0}
-22391	坷	74977	-1	1	null
-22395	坻	65536	-1	3	{n=0}
-22396	坼	65536	-1	3	{n=0}
-22402	垂	87891	-1	2	{v=4, vd=0}
-22403	垃	75107	-1	1	null
-22404	垄	75162	-1	2	{ng=0}
-22406	垆	65536	-1	3	{n=0}
-22411	型	76217	-1	2	{b=0, k=35, n=1, ng=1, nz=0}
-22412	垌	65536	-1	3	{n=0}
-22418	垒	67745	-1	2	{ng=1, v=2}
-22419	垓	65536	-1	3	{n=0}
-22427	垛	74076	-1	2	{ng=0, q=0, v=0}
-22432	垠	65536	-1	3	{ng=0}
-22433	垡	65536	-1	3	{n=0}
-22434	垢	69717	-1	2	{ng=1}
-22435	垣	71110	-1	2	{ng=0}
-22436	垤	65536	-1	3	{n=0}
-22438	垦	76173	-1	2	{v=1}
-22439	垧	65536	-1	3	{q=1}
-22441	垩	65536	-1	3	{n=0}
-22443	垫	79352	-1	2	{v=2}
-22445	垭	74104	-1	2	{n=0}
-22446	垮	76004	-1	2	{ag=2, v=9}
-22450	垲	65536	-1	3	{n=0}
-22452	垴	65536	-1	3	{n=0}
-22456	垸	65536	-1	3	{ng=0}
-22466	埂	74125	-1	2	{ng=0}
-22467	埃	84523	-1	2	{j=4, q=0}
-22475	埋	79253	-1	2	{v=16}
-22478	城	102476	-1	2	{n=52}
-22479	埏	65536	-1	3	{n=0}
-22482	埒	65536	-1	3	{n=0}
-22484	埔	65536	-1	3	{n=0}
-22485	埕	65536	-1	3	{n=0}
-22488	埘	65536	-1	3	{n=0}
-22489	埙	65536	-1	3	{ng=1}
-22490	埚	65536	-1	3	{n=0}
-22493	埝	65536	-1	3	{n=0}
-22495	域	76126	-1	2	{n=0, ng=0}
-22496	埠	74808	-1	2	{ng=0}
-22500	埤	65536	-1	3	{x=0}
-22509	埭	65536	-1	3	{n=0}
-22511	埯	65536	-1	3	{n=0}
-22516	埴	65536	-1	3	{n=0}
-22520	埸	65536	-1	3	{n=0}
-22521	培	78047	-1	2	{v=0}
-22522	基	105341	-1	2	{j=0, ng=7}
-22525	埽	65536	-1	3	{n=0}
-22528	堀	76813	-1	1	null
-22530	堂	87660	-1	2	{ng=4, q=6}
-22534	堆	78729	-1	2	{k=1, n=6, ng=0, q=12, v=8}
-22535	堇	65620	-1	1	null
-22539	堋	65536	-1	3	{n=0}
-22541	堍	65536	-1	3	{n=0}
-22545	堑	74982	-1	1	null
-22549	堕	76891	-1	2	{v=0}
-22553	堙	65536	-1	3	{n=0}
-22558	堞	65536	-1	3	{n=0}
-22560	堠	65536	-1	3	{n=0}
-22561	堡	75307	-1	2	{ng=1}
-22564	堤	76920	-1	2	{n=6}
-22570	堪	75209	-1	2	{v=0, vg=2}
-22576	堰	77427	-1	2	{ng=1}
-22581	堵	79291	-1	2	{a=1, nr=0, q=2, v=10, vn=0}
-22596	塄	65536	-1	3	{n=0}
-22604	塌	77604	-1	2	{v=7, vn=0}
-22605	塍	65536	-1	3	{n=0}
-22609	塑	78718	-1	2	{ng=3, vg=0}
-22612	塔	94638	-1	2	{j=27, n=7}
-22616	塘	77665	-1	2	{j=2, ng=1}
-22622	塞	92227	-1	2	{j=0, ng=0, v=16}
-22629	塥	65536	-1	3	{n=0}
-22635	填	82511	-1	2	{v=20}
-22636	塬	65679	-1	2	{ng=0}
-22654	塾	73783	-1	1	null
-22656	墀	65536	-1	3	{n=0}
-22657	墁	65536	-1	3	{v=0}
-22659	境	77022	-1	2	{ng=5}
-22661	墅	65536	-1	3	{x=0}
-22665	墉	65536	-1	3	{n=0}
-22674	墒	73091	-1	2	{ng=1}
-22675	墓	85127	-1	2	{n=0}
-22681	墙	85918	-1	2	{n=23}
-22682	墚	65536	-1	3	{n=0}
-22686	增	105128	-1	2	{j=0, ng=0, v=74, vd=0, vg=1, vn=0}
-22687	墟	65536	-1	3	{ng=0}
-22696	墨	94047	-1	2	{j=1, n=4, nr=0}
-22697	墩	76073	-1	2	{ng=2, q=0, v=0}
-22716	墼	65536	-1	3	{x=0}
-22721	壁	83567	-1	2	{ng=3, q=1}
-22725	壅	65536	-1	3	{n=0}
-22737	壑	65536	-1	3	{ng=0}
-22741	壕	75367	-1	1	null
-22756	壤	75607	-1	1	null
-22763	士	85385	-1	2	{ng=0}
-22764	壬	81877	-1	1	null
-22766	壮	91107	-1	2	{a=4, j=1, nr=0, v=6}
-22768	声	108930	-1	2	{n=7, ng=13, q=38, vg=1}
-22771	壳	75485	-1	2	{n=2, ng=2}
-22774	壶	78002	-1	2	{ng=0, q=0}
-22777	壹	65536	-1	3	{m=0}
-22788	处	99240	-1	2	{j=0, n=105, nr=0, q=43, v=37, vn=0}
-22791	备	94066	-1	2	{d=3, ng=0, nr=0, v=12, vn=0}
-22797	复	112389	-1	2	{b=0, c=0, d=0, dg=5, nr=0, vg=1}
-22799	夏	107362	-1	2	{ng=1, nr=2, tg=30}
-22804	夔	65536	-1	3	{nr=0}
-22805	夕	76276	-1	2	{tg=5}
-22806	外	120449	-1	2	{f=277, j=1, n=1}
-22809	夙	84658	-1	1	null
-22810	多	120699	-1	2	{a=1021, ad=166, an=1, d=71, j=0, m=1605, ng=11, nr=0, q=0, v=43}
-22812	夜	107323	-1	2	{q=25, tg=54, v=0}
-22815	够	85271	-1	2	{a=1, d=3, v=35, vn=0}
-22820	夤	65536	-1	3	{n=0}
-22821	夥	65536	-1	3	{n=0}
-22823	大	128410	-1	2	{a=2071, ad=0, an=2, d=158, j=5, n=0, ng=8, v=0}
-22825	天	128272	-1	2	{n=84, q=502}
-22826	太	95778	-1	2	{a=0, d=149, j=19}
-22827	夫	82998	-1	2	{n=0, ng=3, rg=0, y=0}
-22829	夭	80858	-1	2	{ng=0, vg=1}
-22830	央	79552	-1	2	{vg=0}
-22831	夯	77536	-1	2	{n=1, v=0}
-22833	失	118515	-1	2	{ng=0, v=21, vn=1}
-22836	头	112825	-1	2	{k=0, m=33, n=70, q=53}
-22839	夷	81025	-1	2	{ag=0, ng=0}
-22840	夸	83283	-1	2	{v=5}
-22841	夹	99392	-1	2	{b=0, n=0, v=8}
-22842	夺	84586	-1	2	{v=22}
-22844	夼	65536	-1	3	{n=0}
-22849	奁	65536	-1	3	{n=0}
-22850	奂	65536	-1	3	{n=0}
-22852	奄	78233	-1	1	null
-22855	奇	108759	-1	2	{a=0, ad=2, ag=10, b=0, ng=0, nr=1}
-22856	奈	80827	-1	2	{vg=0}
-22857	奉	88551	-1	2	{v=6}
-22859	奋	82121	-1	2	{vg=3}
-22862	奎	79550	-1	2	{nr=0}
-22863	奏	82773	-1	2	{v=7}
-22865	契	82191	-1	2	{ng=0, vg=0}
-22868	奔	87962	-1	2	{p=1, v=39, vg=3}
-22869	奕	78319	-1	1	null
-22870	奖	86480	-1	2	{n=76, ng=0, v=4, vn=0}
-22871	套	102065	-1	2	{n=0, ng=0, q=135, v=14}
-22872	奘	65536	-1	3	{n=0}
-22874	奚	67361	-1	2	{nr=0}
-22880	奠	78698	-1	2	{vg=0}
-22882	奢	80857	-1	2	{ag=1}
-22885	奥	87599	-1	2	{j=13}
-22899	女	119331	-1	2	{b=511, ng=13}
-22900	奴	81836	-1	2	{ng=0}
-22902	奶	93255	-1	2	{n=23, v=0}
-22904	奸	88440	-1	2	{a=0, ng=0}
-22905	她	81426	-1	2	{r=646}
-22909	好	121787	-1	2	{a=1268, ad=0, an=1, d=31, v=5}
-22913	妁	65536	-1	3	{x=0}
-22914	如	114357	-1	2	{c=74, nr=0, p=2, r=0, v=337}
-22915	妃	78750	-1	1	null
-22916	妄	84795	-1	2	{d=1}
-22918	妆	79281	-1	2	{ng=0, vg=0}
-22919	妇	91878	-1	2	{j=0, ng=1}
-22920	妈	79250	-1	2	{n=5}
-22922	妊	79778	-1	1	null
-22925	妍	65536	-1	3	{nr=1}
-22930	妒	78934	-1	1	null
-22931	妓	79281	-1	1	null
-22934	妖	85841	-1	1	null
-22935	妗	65536	-1	3	{n=0}
-22937	妙	88207	-1	2	{a=3, ad=0, an=1}
-22942	妞	81410	-1	2	{ng=0}
-22947	妣	65536	-1	3	{n=0}
-22948	妤	65536	-1	3	{x=0}
-22949	妥	83403	-1	2	{a=2, ad=0}
-22952	妨	78747	-1	1	null
-22953	妩	79030	-1	1	null
-22954	妪	65536	-1	3	{n=0}
-22955	妫	65536	-1	3	{n=0}
-22958	妮	81429	-1	1	null
-22959	妯	79179	-1	1	null
-22962	妲	65536	-1	3	{n=0}
-22969	妹	80029	-1	2	{n=5}
-22971	妻	82417	-1	2	{ng=5}
-22974	妾	65536	-1	3	{n=0}
-22982	姆	65536	-1	3	{x=0}
-22986	姊	80009	-1	2	{n=1}
-22987	始	84893	-1	2	{d=2, ng=0, vg=18}
-22992	姐	82374	-1	2	{n=1}
-22993	姑	89165	-1	2	{dg=0, n=0}
-22994	姒	65536	-1	3	{n=0}
-22995	姓	81254	-1	2	{n=5, nr=0, v=18}
-22996	委	85052	-1	2	{j=2, ng=0, vg=0}
-22999	姗	79815	-1	2	{nr=0}
-23000	姘	80268	-1	1	null
-23002	姚	80445	-1	2	{m=0, nr=0}
-23004	姜	82410	-1	2	{n=1, nr=0}
-23005	姝	65536	-1	3	{n=0}
-23011	姣	80082	-1	1	null
-23013	姥	79821	-1	1	null
-23016	姨	86484	-1	2	{n=0}
-23020	姬	65536	-1	3	{nr=0}
-23033	姹	70808	-1	1	null
-23035	姻	82712	-1	1	null
-23039	姿	81863	-1	2	{ng=2}
-23041	威	92528	-1	2	{ag=0, ng=2, nr=0}
-23043	娃	82780	-1	2	{ng=5}
-23044	娄	81101	-1	2	{j=1, nr=0}
-23045	娅	65536	-1	3	{x=0}
-23046	娆	65536	-1	3	{x=0}
-23047	娇	92488	-1	2	{a=1, v=0}
-23048	娈	65536	-1	3	{n=0}
-23049	娉	79931	-1	1	null
-23052	娌	65536	-1	3	{x=0}
-23057	娑	70492	-1	1	null
-23059	娓	80036	-1	1	null
-23064	娘	82324	-1	2	{n=4}
-23068	娜	65536	-1	3	{x=0}
-23071	娟	80210	-1	1	null
-23072	娠	65536	-1	3	{n=0}
-23075	娣	65536	-1	3	{n=0}
-23077	娥	72652	-1	1	null
-23081	娩	65536	-1	3	{vg=0, x=0}
-23089	娱	83079	-1	2	{vg=0}
-23090	娲	65536	-1	3	{x=0}
-23092	娴	74044	-1	1	null
-23094	娶	82988	-1	2	{v=9}
-23100	娼	80223	-1	1	null
-23104	婀	80077	-1	1	null
-23110	婆	82669	-1	2	{ng=0}
-23113	婉	83157	-1	2	{ag=0, dg=1}
-23114	婊	79791	-1	1	null
-23125	婕	65536	-1	3	{x=0}
-23130	婚	95662	-1	2	{ng=3, vg=0}
-23138	婢	80290	-1	1	null
-23143	婧	65536	-1	3	{n=0}
-23146	婪	65536	-1	3	{x=0}
-23156	婴	82396	-1	2	{ng=0}
-23157	婵	80130	-1	1	null
-23158	婶	80171	-1	1	null
-23159	婷	65536	-1	3	{x=0}
-23162	婺	82262	-1	1	null
-23167	婿	65536	-1	3	{ng=0}
-23186	媒	83139	-1	2	{ng=0}
-23194	媚	82778	-1	2	{ag=0, vg=1}
-23195	媛	65536	-1	3	{x=0}
-23210	媪	65536	-1	3	{n=0}
-23218	媲	70551	-1	1	null
-23219	媳	80288	-1	2	{ng=0}
-23221	媵	65536	-1	3	{n=0}
-23224	媸	65536	-1	3	{n=0}
-23230	媾	81564	-1	1	null
-23233	嫁	83500	-1	2	{v=6, vn=0}
-23234	嫂	80505	-1	2	{ng=0}
-23241	嫉	80303	-1	2	{vg=0}
-23244	嫌	81906	-1	2	{ng=0, v=8}
-23250	嫒	65536	-1	3	{x=0}
-23252	嫔	80317	-1	2	{n=0}
-23254	嫖	80154	-1	2	{v=0}
-23256	嫘	65536	-1	3	{n=0}
-23260	嫜	65536	-1	3	{n=0}
-23264	嫠	65536	-1	3	{n=0}
-23265	嫡	83188	-1	1	null
-23267	嫣	74263	-1	1	null
-23270	嫦	80167	-1	1	null
-23273	嫩	82015	-1	2	{a=1}
-23275	嫫	65536	-1	3	{n=0}
-23281	嫱	65536	-1	3	{n=0}
-23305	嬉	78233	-1	2	{vg=0}
-23318	嬖	65536	-1	3	{n=0}
-23319	嬗	81793	-1	1	null
-23346	嬲	65536	-1	3	{n=0}
-23348	嬴	65536	-1	3	{n=0}
-23351	嬷	79908	-1	1	null
-23360	孀	81575	-1	1	null
-23376	子	110676	-1	2	{k=0, ng=11, q=0}
-23377	孑	79928	-1	1	null
-23379	孓	65536	-1	3	{x=0}
-23380	孔	82379	-1	2	{n=1, nr=4, q=0}
-23381	孕	84860	-1	2	{j=0, ng=0, vg=0}
-23383	字	105247	-1	2	{n=122, q=0}
-23384	存	101221	-1	2	{j=5, ng=0, v=27, vn=0}
-23385	孙	85667	-1	2	{n=0, ng=1, nr=16, nt=0}
-23386	孚	65536	-1	3	{vg=0}
-23387	孛	65536	-1	3	{n=0}
-23388	孜	80034	-1	1	null
-23389	孝	85578	-1	2	{ng=1}
-23391	孟	84721	-1	2	{j=8, nr=0}
-23394	孢	80098	-1	1	null
-23395	季	82743	-1	2	{ng=5, nr=0, q=3}
-23396	孤	100175	-1	2	{a=0, ag=2, ng=2}
-23397	孥	65536	-1	3	{n=0}
-23398	学	120018	-1	2	{j=0, k=0, ng=9, v=157, vn=1}
-23401	孩	82850	-1	2	{ng=1}
-23402	孪	83533	-1	1	null
-23404	孬	72476	-1	1	null
-23408	孰	77650	-1	2	{r=4}
-23409	孱	79302	-1	1	null
-23411	孳	73690	-1	1	null
-23413	孵	83464	-1	2	{v=1}
-23418	孺	80300	-1	1	null
-23421	孽	72530	-1	2	{ag=1}
-23425	宁	89110	-1	2	{ag=1, c=1, d=0, dg=1, j=7, nr=0, vg=0}
-23427	它	84314	-1	2	{r=663}
-23428	宄	65536	-1	3	{x=0}
-23429	宅	82006	-1	2	{ng=1}
-23431	宇	82066	-1	2	{ng=0, nr=0}
-23432	守	105031	-1	2	{v=29, vn=1}
-23433	安	126268	-1	2	{a=0, ag=2, j=1, ng=0, nr=0, q=0, r=0, v=15}
-23435	宋	86461	-1	2	{nr=2, q=0, tg=3}
-23436	完	92645	-1	2	{a=0, nr=0, v=99, vn=2}
-23439	宏	90836	-1	2	{j=0, nr=1, nz=0}
-23443	宓	65536	-1	3	{nr=0}
-23445	宕	65536	-1	3	{n=0}
-23447	宗	87966	-1	2	{ng=1, nr=0, q=10, vg=1}
-23448	官	118113	-1	2	{n=25, ng=0, nr=0}
-23449	宙	65536	-1	3	{n=0}
-23450	定	122595	-1	2	{ag=0, d=12, n=0, v=63, vn=0}
-23451	宛	82991	-1	2	{d=0, nr=0}
-23452	宜	86710	-1	2	{ag=3, ng=1, vg=18}
-23453	宝	100462	-1	2	{j=0, n=4, nr=0, v=0}
-23454	实	120543	-1	2	{a=16, ad=10, an=1, dg=0, ng=4}
-23456	宠	85142	-1	2	{v=1, vn=0}
-23457	审	96365	-1	2	{v=14, vn=2}
-23458	客	107915	-1	2	{j=0, n=0, ng=16}
-23459	宣	97264	-1	2	{nr=0}
-23460	室	85755	-1	2	{n=10, ng=0}
-23461	宥	65536	-1	3	{n=0}
-23462	宦	82251	-1	2	{nr=0}
-23466	宪	84889	-1	2	{j=0, ng=0, nr=0}
-23467	宫	86190	-1	2	{ng=1, nr=0}
-23472	宰	84631	-1	2	{nr=0, v=4}
-23475	害	85791	-1	2	{j=0, n=3, ng=0, nr=0, v=13, vn=1}
-23476	宴	85495	-1	2	{ng=3, nr=0, vg=0}
-23477	宵	74644	-1	2	{tg=0}
-23478	家	123154	-1	2	{k=1, n=257, ns=0, q=576, u=0}
-23480	宸	65536	-1	3	{n=0}
-23481	容	90572	-1	2	{ng=1, nr=0, v=3}
-23485	宽	102724	-1	2	{a=34, ad=0, an=0, n=1, ng=1}
-23486	宾	85881	-1	2	{n=0, nr=0}
-23487	宿	94376	-1	2	{ag=0, an=0, ng=1, nr=0, q=0, v=0, vg=0}
-23490	寂	82612	-1	2	{ag=1}
-23492	寄	90467	-1	2	{v=59, vn=0}
-23493	寅	84481	-1	2	{mg=2}
-23494	密	109656	-1	2	{a=6, ad=1, nr=0}
-23495	寇	85925	-1	2	{ng=0, nr=0}
-23500	富	104402	-1	2	{a=33, ad=0, an=0, ng=1, nr=0, v=3, vg=28}
-23504	寐	65536	-1	3	{vg=1}
-23506	寒	116913	-1	2	{a=0, ag=8, nr=0}
-23507	寓	86545	-1	2	{vg=6}
-23517	寝	86300	-1	2	{ng=0, vg=1}
-23518	寞	65536	-1	3	{ag=0}
-23519	察	85306	-1	2	{j=1, vg=0}
-23521	寡	86362	-1	2	{ag=1}
-23524	寤	82856	-1	1	null
-23525	寥	82853	-1	2	{nr=0}
-23528	寨	86361	-1	2	{ng=0}
-23534	寮	65536	-1	3	{n=0}
-23536	寰	82972	-1	1	null
-23544	寸	86208	-1	2	{ng=0, q=10}
-23545	对	124475	-1	2	{a=6, d=0, j=0, ng=0, p=3697, q=52, v=45, vd=0}
-23546	寺	84123	-1	2	{ng=2}
-23547	寻	93948	-1	2	{q=0, v=6}
-23548	导	91123	-1	2	{j=3, v=1, vg=0}
-23551	寿	93184	-1	2	{ng=1, nr=0, vg=0}
-23553	封	108877	-1	2	{j=0, ng=2, nr=0, q=56, v=16}
-23556	射	85999	-1	2	{v=7, vn=0}
-23558	将	88113	-1	2	{d=1605, ng=4, nr=0, p=754, u=1, v=46, vd=0}
-23561	尉	86104	-1	2	{nr=0}
-23562	尊	87108	-1	2	{ag=1, ng=1, nr=0, q=8, vg=3}
-23567	小	137736	-1	2	{a=570, ad=7, an=1, h=0, ng=1, v=1}
-23569	少	107571	-1	2	{a=165, ad=38, ag=0, an=0, d=6, j=1, ng=1, nr=0, v=33}
-23572	尔	85711	-1	2	{nr=0, rg=0}
-23573	尕	81201	-1	1	null
-23574	尖	98936	-1	2	{a=2, ng=0}
-23576	尘	87959	-1	2	{ng=1}
-23578	尚	88722	-1	2	{d=82, ng=0, nr=0, vg=6}
-23580	尜	65536	-1	3	{x=0}
-23581	尝	83718	-1	2	{v=17}
-23588	尤	87309	-1	2	{d=9, nr=0, vg=0}
-23589	尥	70835	-1	1	null
-23591	尧	84483	-1	2	{nr=0}
-23596	尬	65536	-1	3	{x=0}
-23601	就	104732	-1	2	{c=52, d=2211, p=313, v=14}
-23604	尴	83760	-1	1	null
-23608	尸	87086	-1	2	{ng=0}
-23609	尹	79093	-1	2	{nr=0}
-23610	尺	87403	-1	2	{ng=1, q=6}
-23611	尻	65536	-1	3	{n=0}
-23612	尼	89785	-1	2	{j=9}
-23613	尽	97114	-1	2	{ag=1, d=14, p=0, v=48, vg=0}
-23614	尾	92315	-1	2	{n=0, ng=2, q=3}
-23615	尿	84871	-1	2	{n=1, v=0}
-23616	局	88988	-1	2	{j=1, n=70, q=17}
-23617	屁	79157	-1	2	{n=0}
-23618	层	86836	-1	2	{n=8, ng=0, q=67}
-23621	居	92079	-1	2	{n=0, ng=0, nr=0, v=66}
-23624	屈	88381	-1	2	{nr=0, v=2, vd=0, vn=0}
-23625	屉	84257	-1	1	null
-23626	届	81539	-1	2	{n=2, q=467, v=1, vg=0}
-23627	屋	87704	-1	2	{n=18}
-23630	屎	84868	-1	2	{n=1}
-23631	屏	87416	-1	2	{ng=0}
-23632	屐	65536	-1	3	{n=0}
-23633	屑	65536	-1	3	{n=0, ng=0}
-23637	展	101092	-1	2	{ng=10, nr=0, v=0, vg=14}
-23641	屙	65536	-1	3	{n=0}
-23646	属	88009	-1	2	{ng=1, v=76, vg=3}
-23648	屠	86719	-1	2	{nr=0, v=1}
-23649	屡	84089	-1	2	{d=8}
-23651	屣	65536	-1	3	{n=0}
-23653	履	86344	-1	2	{ng=0, vg=2}
-23654	屦	65536	-1	3	{n=0}
-23663	屯	86921	-1	2	{ng=1, v=0}
-23665	山	129479	-1	2	{j=2, n=86, nr=0}
-23673	屹	78903	-1	2	{vg=0}
-23674	屺	65536	-1	3	{n=0}
-23679	屿	65536	-1	3	{ng=0}
-23681	岁	88379	-1	2	{j=0, ng=5, q=390}
-23682	岂	87636	-1	2	{d=18}
-23688	岈	65536	-1	3	{n=0}
-23692	岌	84230	-1	1	null
-23693	岍	65536	-1	3	{n=0}
-23696	岐	84264	-1	2	{ng=0}
-23697	岑	84443	-1	2	{nr=0}
-23700	岔	86498	-1	2	{v=0}
-23702	岖	65536	-1	3	{x=0}
-23703	岗	88371	-1	2	{n=30, ng=1}
-23704	岘	79736	-1	2	{n=0}
-23705	岙	65536	-1	3	{n=0}
-23706	岚	84282	-1	2	{nr=0}
-23707	岛	87260	-1	2	{n=38}
-23708	岜	65536	-1	3	{n=0}
-23714	岢	65536	-1	3	{n=0}
-23715	岣	65536	-1	3	{n=0}
-23721	岩	87711	-1	2	{ng=0, nr=0}
-23723	岫	84232	-1	2	{n=0}
-23724	岬	72674	-1	1	null
-23725	岭	86624	-1	2	{n=0, ng=1}
-23729	岱	84513	-1	1	null
-23731	岳	88596	-1	2	{j=0, n=0, ng=1, nr=0}
-23733	岵	65536	-1	3	{n=0}
-23735	岷	86527	-1	2	{n=0}
-23736	岸	88799	-1	2	{n=3, ng=1}
-23741	岽	65536	-1	3	{n=0}
-23743	岿	78994	-1	1	null
-23745	峁	65536	-1	3	{n=0}
-23748	峄	65536	-1	3	{n=0}
-23755	峋	65536	-1	3	{x=0}
-23762	峒	65536	-1	3	{n=0}
-23769	峙	65536	-1	3	{vg=0}
-23777	峡	84341	-1	2	{j=3, ng=0}
-23780	峤	65536	-1	3	{n=0}
-23781	峥	84088	-1	2	{nr=0}
-23782	峦	65536	-1	3	{n=0}
-23784	峨	87101	-1	1	null
-23786	峪	65536	-1	3	{n=0}
-23789	峭	85290	-1	2	{ag=0}
-23792	峰	87840	-1	2	{ng=0, nr=1, q=1}
-23803	峻	84291	-1	2	{ag=1}
-23810	崂	84352	-1	2	{n=0}
-23811	崃	65536	-1	3	{n=0}
-23814	崆	84264	-1	2	{n=0}
-23815	崇	86718	-1	2	{ag=0, nr=0, vg=0}
-23822	崎	84352	-1	1	null
-23828	崔	65536	-1	3	{nr=7}
-23830	崖	87011	-1	2	{ng=1}
-23835	崛	71846	-1	1	null
-23838	崞	65536	-1	3	{n=0}
-23844	崤	65536	-1	3	{n=0}
-23846	崦	65536	-1	3	{x=0}
-23849	崩	85467	-1	2	{v=0}
-23853	崭	82033	-1	2	{ad=0}
-23854	崮	84407	-1	2	{n=0}
-23860	崴	65536	-1	3	{nr=0, v=0}
-23869	崽	84699	-1	1	null
-23879	嵇	65536	-1	3	{nr=0}
-23882	嵊	84048	-1	2	{n=0}
-23883	嵋	65536	-1	3	{n=0}
-23884	嵌	87248	-1	2	{v=3}
-23896	嵘	65536	-1	3	{x=0}
-23899	嵛	65536	-1	3	{n=0}
-23901	嵝	65536	-1	3	{n=0}
-23913	嵩	86656	-1	2	{n=0}
-23915	嵫	65536	-1	3	{x=0}
-23916	嵬	65536	-1	3	{n=0}
-23919	嵯	65536	-1	3	{x=0}
-23924	嵴	65536	-1	3	{n=0}
-23938	嶂	65536	-1	3	{n=0}
-23961	嶙	84327	-1	1	null
-23965	嶝	65536	-1	3	{n=0}
-23991	嶷	65536	-1	3	{n=0}
-24005	巅	84292	-1	2	{ng=2}
-24013	巍	84308	-1	2	{nr=2}
-24029	川	93026	-1	2	{j=11, ng=0, q=0}
-24030	州	85151	-1	2	{n=18}
-24033	巡	90760	-1	2	{q=0, vg=1}
-24034	巢	86687	-1	2	{n=0, nr=0, v=0}
-24037	工	129104	-1	2	{a=0, ag=0, j=4, n=12, ng=1}
-24038	左	108843	-1	2	{a=14, f=41, nr=0}
-24039	巧	97634	-1	2	{a=5, ad=6, nr=0}
-24040	巨	107488	-1	2	{ag=4, ng=0}
-24041	巩	88316	-1	2	{nr=0}
-24043	巫	88396	-1	2	{ng=0, nr=0}
-24046	差	98039	-1	2	{a=57, an=1, dg=0, n=4, ng=8, v=6}
-24047	巯	65536	-1	3	{n=0}
-24049	己	93505	-1	2	{r=12}
-24050	已	87492	-1	2	{d=1609, vg=0}
-24051	巳	73890	-1	2	{mg=0}
-24052	巴	122975	-1	2	{j=127, nr=0, q=0, v=0}
-24055	巷	87116	-1	2	{ng=4}
-24061	巽	65536	-1	3	{n=0}
-24062	巾	84525	-1	2	{ng=0}
-24065	币	88060	-1	2	{n=1, ng=0}
-24066	市	115400	-1	2	{n=378}
-24067	布	117592	-1	2	{j=1, n=11, nr=0, v=0, vg=1}
-24069	帅	88537	-1	2	{a=0, ng=0, nr=0, vg=1}
-24070	帆	84761	-1	2	{n=2, nr=1}
-24072	师	109919	-1	2	{ng=18, nr=0}
-24076	希	95389	-1	2	{j=5, nr=0, v=0}
-24079	帏	84732	-1	1	null
-24080	帐	85522	-1	2	{ng=1, q=1}
-24081	帑	65536	-1	3	{n=0}
-24084	帔	65536	-1	3	{n=0}
-24085	帕	86284	-1	2	{ng=0}
-24086	帖	65536	-1	3	{ng=0, q=1}
-24088	帘	85528	-1	2	{ng=0, q=0}
-24089	帙	65536	-1	3	{q=0}
-24090	帚	65536	-1	3	{ng=0}
-24091	帛	88836	-1	2	{ng=0}
-24092	帜	65536	-1	3	{ng=0, q=0}
-24093	帝	88737	-1	2	{j=0, ng=0}
-24102	带	99202	-1	2	{n=3, ng=3, v=213, vn=0}
-24103	帧	65536	-1	3	{q=1}
-24109	席	88981	-1	2	{ng=1, nr=0, q=12}
-24110	帮	96965	-1	2	{ng=0, q=1, v=76, vn=0}
-24113	帱	65536	-1	3	{n=0}
-24119	帷	85599	-1	2	{ng=0}
-24120	常	119193	-1	2	{ag=0, d=75, j=1, ng=0, nr=2}
-24123	帻	65536	-1	3	{n=0}
-24124	帼	65536	-1	3	{x=0}
-24125	帽	85754	-1	2	{n=0, ng=3}
-24130	幂	65536	-1	3	{n=0}
-24132	幄	65536	-1	3	{n=0}
-24133	幅	87427	-1	2	{ng=1, q=73}
-24140	幌	85623	-1	1	null
-24148	幔	84927	-1	1	null
-24149	幕	88718	-1	2	{n=2, q=12}
-24155	幛	85637	-1	1	null
-24158	幞	65536	-1	3	{n=0}
-24161	幡	80032	-1	2	{ng=0}
-24162	幢	65536	-1	3	{q=11}
-24178	干	131153	-1	2	{a=18, d=1, j=3, ng=2, nr=0, v=177, vn=0}
-24179	平	131938	-1	2	{a=13, an=0, j=2, nr=2, v=21}
-24180	年	128731	-1	2	{a=0, f=0, m=0, n=95, ng=0, nr=0, q=2421, t=0}
-24182	并	111514	-1	2	{c=1324, d=236, v=13}
-24184	幸	89928	-1	2	{dg=1, ng=0, vg=1}
-24186	幺	65536	-1	3	{nr=0}
-24187	幻	90496	-1	2	{ng=0, vg=3}
-24188	幼	93132	-1	2	{ag=4, ng=0}
-24189	幽	106896	-1	2	{ag=3, ng=0, vg=0}
-24191	广	123888	-1	2	{a=19, ad=7, an=0, j=17, ng=0, nr=0, v=0, vg=0}
-24192	庀	65536	-1	3	{n=0}
-24196	庄	89870	-1	2	{ag=1, ng=0, nr=1}
-24198	庆	93052	-1	2	{ng=0, nr=0, vg=36}
-24199	庇	89420	-1	2	{vg=0}
-24202	床	89731	-1	2	{n=29, q=3}
-24203	庋	65536	-1	3	{n=0}
-24207	序	91195	-1	2	{n=7, ng=0, vg=0}
-24208	庐	86075	-1	2	{ng=1}
-24209	庑	65536	-1	3	{ng=0}
-24211	库	97584	-1	2	{n=10}
-24212	应	116813	-1	2	{d=0, nr=0, p=0, v=590, vn=0}
-24213	底	108194	-1	2	{f=149, n=5, ng=0, u=0}
-24214	庖	65536	-1	3	{ng=0}
-24215	店	91122	-1	2	{n=42}
-24217	庙	89684	-1	2	{n=5}
-24218	庚	90619	-1	2	{nr=0}
-24220	府	89955	-1	2	{j=0, ng=2, nr=0}
-24222	庞	87048	-1	2	{nr=0}
-24223	废	109763	-1	2	{a=0, ag=4, ng=0, v=3}
-24224	庠	65536	-1	3	{n=0}
-24229	庥	65536	-1	3	{n=0}
-24230	度	89338	-1	2	{k=0, ng=2, q=28, v=7, vg=2}
-24231	座	93900	-1	2	{n=0, ng=3, q=164, v=0}
-24237	庭	87675	-1	2	{ng=6}
-24243	庳	65536	-1	3	{n=0}
-24245	庵	65536	-1	3	{ng=0}
-24246	庶	89792	-1	1	null
-24247	康	104768	-1	2	{ag=0, j=1, nr=0}
-24248	庸	89883	-1	1	null
-24249	庹	65536	-1	3	{nr=0, q=0}
-24254	庾	65536	-1	3	{nr=0}
-24265	廉	90353	-1	2	{ag=17, ng=0, nr=0}
-24266	廊	87692	-1	2	{ng=1}
-24273	廑	65536	-1	3	{n=0}
-24274	廒	65536	-1	3	{n=0}
-24275	廓	81868	-1	1	null
-24278	廖	65536	-1	3	{nr=0}
-24283	廛	65536	-1	3	{n=0}
-24296	廨	65536	-1	3	{n=0}
-24298	廪	65536	-1	3	{n=0}
-24310	延	92766	-1	2	{j=0, vg=0}
-24311	廷	65536	-1	3	{n=0}
-24314	建	117708	-1	2	{j=2, ng=0, v=187}
-24319	廿	65536	-1	3	{m=0}
-24320	开	139207	-1	2	{j=1, ng=1, q=1, v=306}
-24321	弁	65536	-1	3	{n=0}
-24322	异	116622	-1	2	{ag=0, vg=0}
-24323	弃	89659	-1	2	{vg=6}
-24324	弄	92335	-1	2	{v=28, vn=0}
-24328	弈	65536	-1	3	{vg=0}
-24330	弊	80269	-1	2	{ng=3}
-24331	弋	71972	-1	2	{ng=0}
-24335	式	87051	-1	2	{k=7, ng=1}
-24337	弑	88893	-1	2	{vg=0}
-24339	弓	87053	-1	2	{n=0, nr=0, v=1}
-24341	引	123215	-1	2	{ng=0, q=0, v=43}
-24343	弗	89012	-1	2	{dg=0}
-24344	弘	88283	-1	2	{nr=0}
-24347	弛	85514	-1	2	{vg=0}
-24351	弟	89769	-1	2	{n=4}
-24352	张	109795	-1	2	{j=1, ng=0, nr=9, nt=0, q=439, r=0, v=4}
-24357	弥	90045	-1	2	{ag=4, d=0, vg=2}
-24358	弦	90640	-1	2	{n=1}
-24359	弧	89856	-1	2	{n=0}
-24361	弩	86336	-1	2	{ng=1}
-24362	弪	65536	-1	3	{n=0}
-24365	弭	65536	-1	3	{nr=0}
-24367	弯	88137	-1	2	{a=3, n=0, ng=0, q=0, v=2}
-24369	弱	93130	-1	2	{a=20, an=0, ng=0, vg=0}
-24377	弹	112156	-1	2	{ng=2, v=5, vn=0}
-24378	强	127321	-1	2	{a=170, ad=7, an=0, ng=46, nr=0, v=0, vg=3}
-24380	弼	65536	-1	3	{n=0}
-24384	彀	65536	-1	3	{n=0}
-24402	归	115352	-1	2	{j=0, nr=0, p=1, v=42}
-24403	当	130256	-1	2	{ag=0, ng=1, o=0, p=265, v=173, vd=0, vg=1, vn=0}
-24405	录	90431	-1	2	{ng=0, v=5, vn=0}
-24406	彖	65536	-1	3	{n=0}
-24407	彗	84824	-1	1	null
-24408	彘	65536	-1	3	{n=0}
-24413	彝	89908	-1	2	{j=2, nz=0}
-24418	形	110282	-1	2	{n=0, ng=24, vg=1}
-24420	彤	90938	-1	1	null
-24422	彦	65536	-1	3	{n=0}
-24425	彩	112452	-1	2	{ng=9}
-24426	彪	86699	-1	2	{q=0}
-24428	彬	86674	-1	1	null
-24429	彭	88984	-1	2	{m=0, nr=3}
-24432	彰	89238	-1	2	{ag=0}
-24433	影	101263	-1	2	{n=0, ng=2, nr=0, vg=0}
-24435	彳	65536	-1	3	{x=0}
-24439	彷	86679	-1	1	null
-24441	役	90819	-1	2	{ng=0}
-24443	彻	88369	-1	2	{vg=2}
-24444	彼	91219	-1	2	{r=3}
-24448	往	91142	-1	2	{p=127, tg=0, v=18, vn=0}
-24449	征	114897	-1	2	{ng=0, nr=0, v=5}
-24450	徂	65536	-1	3	{n=0}
-24452	径	89683	-1	2	{ng=2}
-24453	待	101667	-1	2	{p=0, v=35, vg=4}
-24455	徇	86468	-1	2	{vg=1}
-24456	很	88461	-1	2	{d=912}
-24457	徉	65536	-1	3	{x=0}
-24458	徊	65536	-1	3	{vg=0, x=0}
-24459	律	91084	-1	2	{ng=0, nr=0, vg=0}
-24460	後	65536	-1	3	{nr=0}
-24464	徐	90502	-1	2	{ag=0, j=0, nr=7}
-24466	徒	91927	-1	2	{d=3, ng=0, vg=0}
-24469	徕	65536	-1	3	{x=0}
-24471	得	116951	-1	2	{e=0, n=0, ud=661, v=186, vn=1}
-24472	徘	86938	-1	1	null
-24473	徙	65536	-1	3	{vg=1}
-24476	徜	86944	-1	1	null
-24481	御	91135	-1	2	{vg=1}
-24488	徨	65536	-1	3	{x=0}
-24490	循	90161	-1	2	{vg=9}
-24493	徭	87017	-1	1	null
-24494	微	118978	-1	2	{a=0, ag=2, d=0, dg=0, h=0}
-24501	徵	65536	-1	3	{n=0}
-24503	德	115011	-1	2	{j=30, n=17, nr=0}
-24508	徼	65536	-1	3	{n=0}
-24509	徽	90885	-1	2	{j=0, ng=0}
-24515	心	139760	-1	2	{n=124}
-24517	必	97041	-1	2	{d=28}
-24518	忆	90658	-1	2	{v=0, vg=3}
-24521	忉	65536	-1	3	{x=0}
-24524	忌	90727	-1	2	{v=23, vn=0}
-24525	忍	93157	-1	2	{v=11}
-24527	忏	87382	-1	1	null
-24528	忐	87578	-1	1	null
-24529	忑	65536	-1	3	{x=0}
-24530	忒	65536	-1	3	{d=2}
-24534	忖	87883	-1	1	null
-24535	志	94819	-1	2	{n=17, ng=0, nr=0, v=0, vg=1}
-24536	忘	92770	-1	2	{v=63, vg=0}
-24537	忙	92433	-1	2	{a=28, ad=2, an=0, ng=1, v=57, vn=1}
-24541	忝	65536	-1	3	{vg=0}
-24544	忠	98768	-1	2	{ag=0, nr=1, vg=1}
-24545	忡	65536	-1	3	{x=0}
-24548	忤	75349	-1	2	{ag=0}
-24551	忧	94304	-1	2	{ag=1, ng=10, v=8, vg=1, vn=0}
-24554	忪	65536	-1	3	{x=0}
-24555	快	117268	-1	2	{a=125, an=0, d=31, ng=0, v=0}
-24557	忭	65536	-1	3	{n=0}
-24558	忮	65536	-1	3	{n=0}
-24561	忱	65536	-1	3	{ng=0}
-24565	念	94367	-1	2	{n=0, ng=0, v=14}
-24568	忸	87683	-1	1	null
-24571	忻	88281	-1	2	{nr=0}
-24573	忽	93579	-1	2	{d=8, q=0}
-24574	忾	65536	-1	3	{n=0}
-24575	忿	87771	-1	1	null
-24576	怀	109150	-1	2	{ng=6, nr=0, q=0, v=9, vg=0}
-24577	态	91201	-1	2	{n=0, ng=4}
-24578	怂	87684	-1	2	{vg=0}
-24579	怃	65536	-1	3	{n=0}
-24580	怄	84720	-1	2	{v=0}
-24581	怅	87617	-1	1	null
-24582	怆	65536	-1	3	{n=0}
-24586	怊	65536	-1	3	{n=0}
-24589	怍	65536	-1	3	{n=0}
-24590	怎	92370	-1	2	{r=21}
-24591	怏	87827	-1	1	null
-24594	怒	104223	-1	2	{vg=0}
-24596	怔	92164	-1	2	{v=1, vg=0}
-24597	怕	92368	-1	2	{a=0, v=38, vd=0}
-24598	怖	65536	-1	3	{vg=0}
-24601	怙	65536	-1	3	{n=0}
-24603	怛	65536	-1	3	{n=0}
-24604	怜	87925	-1	2	{vg=0}
-24605	思	109402	-1	2	{ng=0, nr=0, v=11, vn=1}
-24608	怠	88482	-1	2	{ag=0}
-24609	怡	90873	-1	2	{vg=0}
-24613	急	125281	-1	2	{a=11, ad=8, an=1, j=0, v=16}
-24614	怦	88024	-1	2	{o=0}
-24615	性	107130	-1	2	{k=0, n=1, ng=3}
-24616	怨	92794	-1	2	{v=0, vn=0}
-24617	怩	65536	-1	3	{x=0}
-24618	怪	106857	-1	2	{a=7, an=0, d=1, v=4}
-24619	怫	65536	-1	3	{n=0}
-24623	怯	90579	-1	2	{a=2}
-24629	怵	65536	-1	3	{ag=0, vg=1}
-24635	总	133195	-1	2	{a=0, b=228, d=79, j=0, v=4}
-24636	怼	65536	-1	3	{n=0}
-24639	怿	65536	-1	3	{n=0}
-24641	恁	65536	-1	3	{n=0}
-24642	恂	65536	-1	3	{n=0}
-24643	恃	88482	-1	2	{vg=0}
-24651	恋	92977	-1	2	{v=1, vn=0}
-24653	恍	89982	-1	2	{vg=0}
-24656	恐	91389	-1	2	{d=2, vg=1}
-24658	恒	98422	-1	2	{ag=2, ng=0, nr=0}
-24661	恕	80286	-1	2	{nr=0, vg=3}
-24665	恙	78494	-1	1	null
-24666	恚	65536	-1	3	{n=0}
-24669	恝	65536	-1	3	{n=0}
-24674	恢	90110	-1	2	{ag=1}
-24675	恣	88080	-1	1	null
-24676	恤	78017	-1	1	null
-24679	恧	65536	-1	3	{n=0}
-24680	恨	92968	-1	2	{v=5, vn=0}
-24681	恩	106273	-1	2	{j=0, ng=1, nr=0}
-24682	恪	89544	-1	1	null
-24683	恫	91460	-1	1	null
-24684	恬	93043	-1	1	null
-24685	恭	93123	-1	2	{ag=0}
-24687	息	92902	-1	2	{n=0, ng=1, vg=0}
-24688	恰	92888	-1	2	{d=13}
-24691	恳	92069	-1	1	null
-24694	恶	117109	-1	2	{a=4, ad=1, ag=0, an=0, e=0, ng=0, vg=0}
-24696	恸	65536	-1	3	{n=0}
-24697	恹	88389	-1	1	null
-24698	恺	65536	-1	3	{n=0}
-24699	恻	74543	-1	2	{ag=0}
-24700	恼	92958	-1	2	{v=0}
-24701	恽	65536	-1	3	{nr=0}
-24703	恿	65536	-1	3	{x=0}
-24707	悃	65536	-1	3	{n=0}
-24708	悄	90353	-1	1	null
-24713	悉	91568	-1	2	{ad=0, ag=0, vg=1}
-24716	悌	65536	-1	3	{n=0}
-24717	悍	91834	-1	1	null
-24722	悒	88408	-1	1	null
-24724	悔	93260	-1	2	{vg=4}
-24726	悖	92330	-1	2	{vg=1}
-24730	悚	65536	-1	3	{n=0}
-24731	悛	65536	-1	3	{n=0}
-24733	悝	65536	-1	3	{n=0}
-24735	悟	92166	-1	2	{v=1, vg=3}
-24736	悠	93413	-1	2	{ag=0, v=0}
-24739	患	92409	-1	2	{ng=1, v=51, vn=0}
-24742	悦	82752	-1	2	{ag=0, vg=0}
-24744	您	90281	-1	2	{r=97}
-24747	悫	65536	-1	3	{ag=0}
-24748	悬	108206	-1	2	{a=0, ag=1, v=8}
-24749	悭	65536	-1	3	{n=0}
-24751	悯	65536	-1	3	{n=0}
-24753	悱	65536	-1	3	{vg=0}
-24754	悲	109875	-1	2	{ag=1, an=0, vg=0}
-24756	悴	65536	-1	3	{n=0}
-24760	悸	92117	-1	1	null
-24763	悻	88519	-1	1	null
-24764	悼	88727	-1	2	{vg=0}
-24773	情	123005	-1	2	{n=101, ng=7}
-24774	惆	88777	-1	1	null
-24778	惊	121497	-1	2	{ng=0, v=11, vd=0, vn=0}
-24779	惋	88630	-1	1	null
-24785	惑	93273	-1	2	{ag=0, ng=0, v=0, vg=1}
-24789	惕	65536	-1	3	{n=0}
-24792	惘	84451	-1	1	null
-24794	惚	65536	-1	3	{x=0}
-24796	惜	93405	-1	2	{vg=3}
-24797	惝	65536	-1	3	{x=0}
-24799	惟	93846	-1	2	{c=0, d=2, u=0, vg=0}
-24800	惠	96235	-1	2	{ag=0, ng=1, nr=0, vg=0}
-24806	惦	88910	-1	2	{v=0}
-24807	惧	88873	-1	2	{v=1}
-24808	惨	103351	-1	2	{a=1, ad=0}
-24809	惩	93563	-1	2	{vg=1}
-24811	惫	65536	-1	3	{n=0}
-24812	惬	88654	-1	1	null
-24813	惭	88632	-1	2	{ag=0}
-24814	惮	65536	-1	3	{vg=0}
-24815	惯	93152	-1	2	{a=2, v=8}
-24816	惰	88892	-1	2	{ag=0}
-24819	想	103207	-1	2	{v=365, vn=2}
-24820	惴	88727	-1	1	null
-24822	惶	88915	-1	1	null
-24825	惹	93735	-1	2	{v=8}
-24826	惺	89057	-1	1	null
-24832	愀	65536	-1	3	{x=0}
-24833	愁	93502	-1	2	{ng=2, v=14, vn=0}
-24838	愆	65536	-1	3	{n=0}
-24840	愈	92602	-1	2	{d=12, v=0, vg=3}
-24841	愉	89064	-1	1	null
-24845	愍	65536	-1	3	{n=0}
-24846	愎	65536	-1	3	{n=0}
-24847	意	110334	-1	2	{j=21, n=0, ng=26, v=1, vg=1}
-24853	愕	84711	-1	1	null
-24858	愚	94457	-1	2	{a=0, an=0, v=0}
-24863	感	119079	-1	2	{k=0, ng=8, vg=28}
-24864	愠	89200	-1	1	null
-24867	愣	93558	-1	2	{ag=0, d=0, dg=0, v=4}
-24868	愤	93844	-1	2	{ng=0, vg=1, vn=0}
-24870	愦	65536	-1	3	{n=0}
-24871	愧	90285	-1	2	{vg=1}
-24875	愫	65536	-1	3	{n=0}
-24895	愿	89312	-1	2	{ng=2, v=97, vg=5}
-24904	慈	92593	-1	2	{ag=0}
-24906	慊	65536	-1	3	{n=0}
-24908	慌	93776	-1	2	{a=4, v=0}
-24910	慎	93816	-1	2	{a=0, ad=0, ag=4, nr=0, vg=0}
-24913	慑	87495	-1	2	{vg=0}
-24917	慕	93076	-1	2	{ng=0, nr=0, vg=0}
-24925	慝	65536	-1	3	{n=0}
-24930	慢	98799	-1	2	{a=16, ad=1, an=0}
-24935	慧	89704	-1	2	{ag=0, ng=0}
-24936	慨	92456	-1	2	{ag=1, ng=0}
-24944	慰	92849	-1	2	{vg=1}
-24949	慵	88919	-1	2	{n=0}
-24951	慷	89026	-1	2	{vg=0}
-24971	憋	86310	-1	2	{v=6}
-24974	憎	89304	-1	2	{ag=0, vg=0}
-24980	憔	89230	-1	1	null
-24989	憝	65536	-1	3	{n=0}
-24999	憧	88983	-1	1	null
-25000	憨	92648	-1	2	{ag=0, ng=0}
-25001	憩	65536	-1	3	{vg=0}
-25004	憬	89265	-1	1	null
-25015	憷	65536	-1	3	{n=0}
-25022	憾	93894	-1	2	{ag=1, ng=0}
-25026	懂	93901	-1	2	{a=0, v=30}
-25032	懈	89394	-1	2	{vg=0}
-25034	懊	94016	-1	1	null
-25035	懋	65536	-1	3	{n=0}
-25041	懑	65536	-1	3	{n=0}
-25042	懒	89750	-1	2	{a=3}
-25044	懔	65536	-1	3	{n=0}
-25062	懦	91216	-1	2	{ag=0}
-25077	懵	88981	-1	2	{ag=0, v=0}
-25087	懿	65536	-1	3	{n=0}
-25094	戆	83565	-1	1	null
-25096	戈	93192	-1	2	{ng=1, nr=0}
-25098	戊	96534	-1	2	{mg=0}
-25099	戋	65536	-1	3	{x=0}
-25100	戌	84645	-1	1	null
-25101	戍	90623	-1	2	{vg=0}
-25102	戎	79147	-1	2	{nr=1}
-25103	戏	105406	-1	2	{n=71, vg=2}
-25104	成	135762	-1	2	{a=7, an=1, j=3, m=0, n=1, ng=0, nr=1, q=21, v=422}
-25105	我	100711	-1	2	{r=1802, v=0}
-25106	戒	98023	-1	2	{ng=1, v=5, vn=0}
-25109	戕	90747	-1	1	null
-25110	或	91439	-1	2	{c=669, d=3, rg=0, v=0}
-25111	戗	65536	-1	3	{p=0, v=0}
-25112	战	137391	-1	2	{j=2, n=0, ng=8, nr=0, q=0, v=1, vg=27}
-25114	戚	88243	-1	2	{nr=0}
-25115	戛	85325	-1	1	null
-25119	戟	65536	-1	3	{ng=0}
-25121	戡	94234	-1	2	{vg=0}
-25122	戢	65536	-1	3	{nr=0}
-25124	戤	65536	-1	3	{n=0}
-25125	戥	65536	-1	3	{v=0}
-25130	截	100684	-1	2	{q=0, v=2}
-25132	戬	65536	-1	3	{n=0}
-25134	戮	93182	-1	1	null
-25139	戳	93579	-1	2	{v=1}
-25140	戴	92143	-1	2	{j=0, nr=2, v=33}
-25143	户	100715	-1	2	{ng=39, q=220}
-25149	戽	65536	-1	3	{v=0}
-25150	戾	65536	-1	3	{n=0}
-25151	房	120789	-1	2	{n=35, nr=0, q=0}
-25152	所	96057	-1	2	{n=24, ng=1, q=100, u=773, v=0}
-25153	扁	90383	-1	2	{a=0}
-25155	扃	65536	-1	3	{n=0}
-25159	扇	93348	-1	2	{n=0, q=9, v=0}
-25160	扈	90958	-1	2	{nr=0}
-25161	扉	84434	-1	1	null
-25163	手	137986	-1	2	{d=0, k=1, n=174, q=5}
-25165	才	108845	-1	2	{c=174, d=334, n=7, nr=0}
-25166	扎	102835	-1	2	{v=32}
-25169	扑	97464	-1	2	{o=0, v=10}
-25170	扒	90336	-1	2	{v=4}
-25171	打	145945	-1	2	{p=2, q=1, v=225, vn=1}
-25172	扔	94914	-1	2	{v=6}
-25176	托	109290	-1	2	{ng=1, q=0, v=17}
-25179	扛	65536	-1	3	{v=9}
-25187	扣	95672	-1	2	{ng=2, v=18, vn=0}
-25190	扦	91544	-1	1	null
-25191	执	103147	-1	2	{v=4, vg=1}
-25193	扩	95983	-1	2	{v=3, vg=20}
-25194	扪	90435	-1	1	null
-25195	扫	99285	-1	2	{v=10}
-25196	扬	111991	-1	2	{j=0, ng=0, nr=0, v=0, vg=12}
-25197	扭	101964	-1	2	{v=4}
-25198	扮	94748	-1	2	{v=4}
-25199	扯	93535	-1	2	{v=2}
-25200	扰	94998	-1	2	{v=1}
-25203	扳	94648	-1	2	{v=1, vn=0}
-25206	扶	110948	-1	2	{nr=0, v=29}
-25209	批	106300	-1	2	{j=0, q=393, v=17}
-25212	扼	94834	-1	2	{vg=1}
-25214	找	99154	-1	2	{v=130}
-25215	承	117783	-1	2	{j=0, nr=1, vg=3}
-25216	技	102605	-1	2	{j=1, ng=2}
-25220	抄	95291	-1	2	{v=5}
-25225	抉	89877	-1	2	{vg=0}
-25226	把	100540	-1	2	{m=2, ng=4, nr=0, p=1505, q=41, v=11, vn=0}
-25233	抑	94234	-1	2	{vg=1}
-25234	抒	94337	-1	2	{vg=1}
-25235	抓	102865	-1	2	{v=224}
-25237	投	126086	-1	2	{j=0, v=35}
-25238	抖	94159	-1	2	{v=1}
-25239	抗	126809	-1	2	{v=13}
-25240	折	120532	-1	2	{ng=0, q=3, v=5, vn=1}
-25242	抚	97039	-1	2	{vg=1}
-25243	抛	96001	-1	2	{nr=0, v=8}
-25247	抟	65536	-1	3	{v=0}
-25248	抠	92067	-1	2	{a=0, v=1}
-25249	抡	65536	-1	3	{v=0}
-25250	抢	111174	-1	2	{v=28, vd=0}
-25252	护	115854	-1	2	{j=1, v=7, vn=0}
-25253	报	136221	-1	2	{n=88, v=51, vn=0}
-25256	抨	94594	-1	1	null
-25259	披	95538	-1	2	{v=14}
-25260	抬	95924	-1	2	{q=0, v=25}
-25265	抱	99404	-1	2	{q=0, v=32}
-25269	抵	103226	-1	2	{v=31}
-25273	抹	98121	-1	2	{q=5, v=6}
-25275	抻	76911	-1	2	{v=0}
-25276	押	94558	-1	2	{v=3}
-25277	抽	123422	-1	2	{v=11}
-25279	抿	92327	-1	2	{v=1}
-25282	拂	92182	-1	2	{v=6}
-25284	拄	89261	-1	2	{v=1}
-25285	担	99452	-1	2	{ng=1, q=8, v=6}
-25286	拆	109316	-1	2	{v=11, vn=0}
-25287	拇	90383	-1	1	null
-25288	拈	82311	-1	2	{v=5}
-25289	拉	137164	-1	2	{j=0, v=101}
-25290	拊	65536	-1	3	{n=0}
-25292	拌	94658	-1	2	{v=3}
-25293	拍	107207	-1	2	{j=0, ng=0, q=0, v=51}
-25294	拎	65536	-1	3	{v=5}
-25296	拐	94974	-1	2	{ng=1, v=3}
-25298	拒	96140	-1	2	{vg=23}
-25299	拓	92540	-1	2	{v=1}
-25300	拔	102451	-1	2	{v=2}
-25302	拖	110558	-1	2	{v=25}
-25303	拗	96051	-1	2	{a=0}
-25304	拘	97257	-1	2	{vg=0}
-25305	拙	96023	-1	2	{ag=0}
-25306	拚	94409	-1	1	null
-25307	招	122872	-1	2	{n=8, nr=0, q=2, v=6}
-25308	拜	110577	-1	2	{nr=0, v=33}
-25311	拟	99262	-1	2	{v=20, vn=0}
-25314	拢	95283	-1	2	{v=8}
-25315	拣	95818	-1	2	{v=4}
-25317	拥	96171	-1	2	{v=8}
-25318	拦	98017	-1	2	{v=3, vn=0}
-25319	拧	65536	-1	3	{v=3}
-25320	拨	101321	-1	2	{q=0, v=24, vn=0}
-25321	择	96437	-1	2	{v=2}
-25324	括	94693	-1	2	{v=0}
-25325	拭	88310	-1	2	{vg=0}
-25326	拮	90744	-1	1	null
-25327	拯	90267	-1	2	{vg=0}
-25329	拱	96402	-1	2	{ng=0, q=0, v=3}
-25331	拳	102701	-1	2	{n=1, q=1, v=0}
-25332	拴	65536	-1	3	{v=7}
-25334	拶	65536	-1	3	{n=0}
-25335	拷	91048	-1	2	{vg=0}
-25340	拼	103457	-1	2	{v=12, vn=0}
-25341	拽	65536	-1	3	{v=6}
-25342	拾	96156	-1	2	{m=0, nr=0, v=4}
-25343	拿	105788	-1	2	{p=2, v=202, vn=0}
-25345	持	96421	-1	2	{v=43}
-25346	挂	125655	-1	2	{q=0, v=76}
-25351	指	130341	-1	2	{ng=2, v=102, vn=0}
-25352	挈	65536	-1	3	{n=0}
-25353	按	101966	-1	2	{p=211, v=26}
-25358	挎	95190	-1	2	{v=2}
-25361	挑	111713	-1	2	{n=0, q=0, v=19}
-25366	挖	94397	-1	2	{v=49, vn=0}
-25370	挚	95041	-1	2	{ag=1}
-25371	挛	83937	-1	1	null
-25373	挝	65536	-1	3	{x=0}
-25374	挞	65536	-1	3	{n=0}
-25375	挟	95450	-1	2	{v=1}
-25376	挠	93715	-1	2	{v=1}
-25377	挡	96260	-1	2	{n=0, q=0, v=8}
-25378	挢	65536	-1	3	{n=0}
-25379	挣	92236	-1	2	{v=20}
-25380	挤	97400	-1	2	{a=1, v=35, vn=0}
-25381	挥	102326	-1	2	{v=10}
-25384	挨	97782	-1	2	{v=8}
-25386	挪	96064	-1	2	{j=1, v=1}
-25387	挫	96277	-1	2	{ng=0, v=3}
-25391	振	96522	-1	2	{nr=0, v=0, vg=4}
-25394	挲	65536	-1	3	{x=0}
-25401	挹	65536	-1	3	{n=0}
-25402	挺	96602	-1	2	{ag=0, d=11, q=0, v=6}
-25405	挽	97032	-1	2	{v=4}
-25410	捂	96259	-1	2	{v=1}
-25411	捃	65536	-1	3	{n=0}
-25413	捅	93527	-1	2	{v=7}
-25414	捆	95779	-1	2	{ng=0, q=3, v=7}
-25417	捉	96303	-1	2	{v=1}
-25419	捋	65536	-1	3	{v=3}
-25420	捌	65536	-1	3	{m=0}
-25421	捍	95240	-1	1	null
-25422	捎	92502	-1	2	{v=7}
-25423	捏	96684	-1	2	{v=10}
-25424	捐	96331	-1	2	{v=73}
-25429	捕	94012	-1	2	{v=2, vn=0}
-25438	捞	96672	-1	2	{v=9}
-25439	损	96637	-1	2	{ng=0, vg=7, vn=2}
-25441	捡	96259	-1	2	{v=3}
-25442	换	125569	-1	2	{v=98, vn=0}
-25443	捣	96626	-1	2	{v=0}
-25447	捧	94418	-1	2	{q=0, v=29}
-25449	捩	65536	-1	3	{n=0}
-25453	捭	65536	-1	3	{x=0}
-25454	据	97070	-1	2	{ng=0, p=1003, v=2, vg=3}
-25462	捶	91545	-1	2	{v=1}
-25463	捷	95964	-1	2	{ag=0, j=7, vg=0}
-25466	捺	65536	-1	3	{n=0, v=0}
-25467	捻	95864	-1	2	{v=0}
-25472	掀	95589	-1	2	{v=5}
-25474	掂	90733	-1	2	{v=5}
-25479	掇	65536	-1	3	{n=0}
-25480	授	111630	-1	2	{vg=7}
-25481	掉	98721	-1	2	{v=66}
-25482	掊	65536	-1	3	{n=0}
-25484	掌	104514	-1	2	{n=1, ng=0, v=1}
-25486	掎	65536	-1	3	{n=0}
-25487	掏	92285	-1	2	{v=18}
-25488	掐	93969	-1	2	{v=3}
-25490	排	132276	-1	2	{j=0, n=0, q=5, v=60}
-25494	掖	65536	-1	3	{v=0}
-25496	掘	94590	-1	2	{v=3, vn=0}
-25504	掠	96832	-1	2	{v=1}
-25506	探	124720	-1	2	{v=12, vn=0}
-25507	掣	84036	-1	2	{v=0}
-25509	接	133784	-1	2	{c=1, j=0, v=65, vn=0}
-25511	控	96111	-1	2	{v=2, vg=0, vn=0}
-25512	推	133734	-1	2	{v=35, vd=0, vn=0}
-25513	掩	98257	-1	2	{v=3}
-25514	措	94322	-1	2	{vg=1}
-25516	掬	65536	-1	3	{q=0, v=1, vn=0}
-25517	掭	65536	-1	3	{v=0}
-25518	掮	93698	-1	1	null
-25520	掰	92845	-1	2	{v=1}
-25523	掳	91656	-1	2	{vg=0}
-25524	掴	65536	-1	3	{v=0}
-25527	掷	94846	-1	2	{v=2}
-25528	掸	93793	-1	2	{v=2}
-25530	掺	96628	-1	2	{v=3}
-25534	掾	65536	-1	3	{n=0}
-25540	揄	65536	-1	3	{n=0}
-25542	揆	65536	-1	3	{n=0}
-25545	揉	91556	-1	2	{v=1}
-25549	揍	65536	-1	3	{v=1, vn=0}
-25550	揎	65536	-1	3	{v=0}
-25551	描	96351	-1	2	{v=2}
-25552	提	135193	-1	2	{n=0, q=0, v=68}
-25554	插	114336	-1	2	{v=20}
-25558	揖	65536	-1	3	{vg=0}
-25568	揠	83771	-1	1	null
-25569	握	97011	-1	2	{v=20}
-25571	揣	93058	-1	2	{v=6}
-25577	揩	89446	-1	2	{v=0}
-25578	揪	97129	-1	2	{v=2}
-25581	揭	106314	-1	2	{nr=0, v=15}
-25586	揲	65536	-1	3	{n=0}
-25588	援	98734	-1	2	{vg=13}
-25590	揶	91762	-1	1	null
-25597	揽	93847	-1	2	{v=10}
-25600	搀	96756	-1	2	{v=1}
-25601	搁	89333	-1	2	{v=1}
-25602	搂	92045	-1	2	{q=0, v=3}
-25605	搅	97334	-1	2	{v=4}
-25611	搋	93946	-1	2	{v=0}
-25612	搌	93256	-1	2	{v=0}
-25615	搏	96358	-1	2	{ng=0, vg=2}
-25616	搐	65536	-1	3	{n=0}
-25619	搓	92193	-1	2	{v=4}
-25620	搔	94503	-1	2	{v=0}
-25627	搛	65536	-1	3	{v=0}
-25628	搜	97389	-1	2	{v=1}
-25630	搞	96715	-1	2	{v=220, vn=0}
-25632	搠	65536	-1	3	{v=0}
-25633	搡	65536	-1	3	{v=0}
-25638	搦	85722	-1	2	{n=0}
-25642	搪	94755	-1	2	{v=0}
-25644	搬	96545	-1	2	{v=29}
-25645	搭	111101	-1	2	{v=41}
-25652	搴	65536	-1	3	{n=0}
-25658	携	97038	-1	2	{v=15}
-25661	搽	85524	-1	2	{v=0}
-25663	搿	65536	-1	3	{n=0}
-25665	摁	92233	-1	2	{v=0}
-25668	摄	98608	-1	2	{a=0, j=1, vg=363}
-25669	摅	65536	-1	3	{n=0}
-25670	摆	115055	-1	2	{n=0, v=74}
-25671	摇	105132	-1	2	{v=4}
-25672	摈	93192	-1	2	{vg=0}
-25674	摊	99945	-1	2	{n=3, ng=0, q=2, v=3}
-25682	摒	93200	-1	2	{vg=0}
-25684	摔	97412	-1	2	{v=9}
-25688	摘	98751	-1	2	{v=16}
-25694	摞	65536	-1	3	{q=6, v=2}
-25703	摧	90992	-1	2	{vg=1}
-25705	摩	105344	-1	2	{j=9, v=0}
-25709	摭	65536	-1	3	{n=0}
-25720	摸	95559	-1	2	{v=14}
-25721	摹	97494	-1	2	{v=0, vg=0}
-25722	摺	94248	-1	2	{v=0}
-25730	撂	97660	-1	2	{q=0, v=3}
-25732	撄	65536	-1	3	{n=0}
-25733	撅	65536	-1	3	{n=0, v=1}
-25735	撇	97654	-1	2	{n=0, q=1, v=0}
-25745	撑	97333	-1	2	{v=9}
-25746	撒	111518	-1	2	{n=1, v=13}
-25749	撕	97701	-1	2	{v=1}
-25750	撖	65536	-1	3	{n=0}
-25753	撙	65536	-1	3	{n=0}
-25758	撞	97439	-1	2	{v=24}
-25764	撤	103727	-1	2	{v=4, vn=0}
-25769	撩	97620	-1	2	{v=3}
-25772	撬	91257	-1	2	{v=5}
-25773	播	98491	-1	2	{v=8}
-25774	撮	96184	-1	2	{q=0, v=0}
-25776	撰	96882	-1	2	{vg=1}
-25781	撵	65536	-1	3	{v=2}
-25783	撷	96256	-1	2	{vg=0}
-25784	撸	94349	-1	1	null
-25786	撺	93402	-1	1	null
-25788	撼	97573	-1	2	{v=5}
-25792	擀	91288	-1	2	{v=6}
-25794	擂	97728	-1	2	{ng=0, v=3}
-25797	擅	84494	-1	2	{vg=0}
-25805	操	103537	-1	2	{n=1, nr=0, v=5, vn=0}
-25806	擎	94937	-1	2	{v=5}
-25808	擐	65536	-1	3	{n=0}
-25810	擒	92422	-1	2	{v=0}
-25815	擗	65536	-1	3	{v=0}
-25816	擘	65536	-1	3	{n=0}
-25822	擞	65536	-1	3	{x=0}
-25826	擢	65536	-1	3	{n=0}
-25828	擤	65536	-1	3	{v=0}
-25830	擦	100531	-1	2	{v=8}
-25856	攀	103872	-1	2	{j=0, v=9}
-25865	攉	65536	-1	3	{v=0}
-25874	攒	96633	-1	2	{v=4}
-25880	攘	94953	-1	2	{vg=0}
-25893	攥	65536	-1	3	{v=4}
-25899	攫	96338	-1	1	null
-25902	攮	94425	-1	2	{v=0}
-25903	支	129930	-1	2	{j=0, ng=2, nr=0, q=167, v=5, vg=1}
-25910	收	141094	-1	2	{j=0, ng=0, v=102, vn=0}
-25912	攸	96453	-1	1	null
-25913	改	128133	-1	2	{ng=1, v=126, vd=0, vn=0}
-25915	攻	111014	-1	2	{v=11, vn=2}
-25918	放	140552	-1	2	{v=72, vn=0}
-25919	政	131917	-1	2	{j=0, ng=7, nr=0}
-25925	故	118693	-1	2	{c=9, d=1, dg=0, n=0, ng=1, vg=0}
-25928	效	103236	-1	2	{ng=8, vg=0}
-25929	敉	65536	-1	3	{n=0}
-25932	敌	134276	-1	2	{ng=7, vg=4}
-25935	敏	97105	-1	2	{ag=2}
-25937	救	120189	-1	2	{v=16, vn=0}
-25941	敕	65536	-1	3	{ng=0, vg=0}
-25942	敖	98330	-1	2	{nr=0, vg=0}
-25945	教	138412	-1	2	{j=0, ng=4, v=36, vg=1, vn=1}
-25947	敛	93707	-1	2	{vg=0}
-25949	敝	95614	-1	2	{r=0}
-25950	敞	98275	-1	2	{a=0, v=3}
-25954	敢	98406	-1	2	{dg=12, v=70}
-25955	散	120742	-1	2	{a=2, ad=1, n=0, ng=0, v=5}
-25958	敦	98828	-1	2	{ag=0, j=0, nr=0}
-25963	敫	65536	-1	3	{n=0}
-25964	敬	113103	-1	2	{ng=1, nr=0, v=10}
-25968	数	126577	-1	2	{j=1, m=62, n=21, v=25}
-25970	敲	100535	-1	2	{v=16}
-25972	整	125744	-1	2	{a=3, m=11, v=7}
-25975	敷	92682	-1	2	{v=1}
-25991	文	146768	-1	2	{a=4, j=0, ng=28, nr=0, q=2, r=0, v=4, vg=0}
-25995	斋	96504	-1	2	{ng=1}
-25996	斌	65536	-1	3	{nr=1, x=0}
-26000	斐	90938	-1	2	{j=0}
-26001	斑	101076	-1	2	{n=0}
-26003	斓	65536	-1	3	{x=0}
-26007	斗	115974	-1	2	{n=3, q=1, v=13}
-26009	料	102095	-1	2	{n=8, ng=0, q=0, v=3}
-26011	斛	65536	-1	3	{q=0}
-26012	斜	110026	-1	2	{a=2, ad=2, v=2, vd=0, vn=0}
-26015	斟	85403	-1	2	{v=1}
-26017	斡	92935	-1	1	null
-26020	斤	99069	-1	2	{ng=0, q=16}
-26021	斥	98966	-1	2	{vg=1}
-26023	斧	96163	-1	2	{ng=1}
-26025	斩	98485	-1	2	{v=3}
-26027	斫	65536	-1	3	{vg=0}
-26029	断	129704	-1	2	{d=1, v=59, vn=1}
-26031	斯	111490	-1	2	{dg=0, j=1, ng=0, nr=0, r=0, rg=5}
-26032	新	151356	-1	2	{a=2122, an=0, b=0, d=114, j=5, ng=1, nr=0, v=0}
-26041	方	140864	-1	2	{a=0, b=0, d=12, f=1, k=0, n=0, ng=8, nr=0, q=55}
-26044	於	65536	-1	3	{e=0, nr=0}
-26045	施	113986	-1	2	{nr=1, v=9, vg=0, vn=0}
-26049	旁	110891	-1	2	{f=19, ng=0}
-26051	旃	65536	-1	3	{n=0}
-26052	旄	65536	-1	3	{n=0}
-26053	旅	117946	-1	2	{j=0, n=20, ng=0, vg=12}
-26054	旆	65536	-1	3	{n=0}
-26059	旋	101192	-1	2	{d=3, ng=0, vg=1}
-26060	旌	93666	-1	1	null
-26062	旎	65536	-1	3	{x=0}
-26063	族	99610	-1	2	{ng=5, q=0}
-26066	旒	65536	-1	3	{n=0}
-26070	旖	93684	-1	1	null
-26071	旗	100923	-1	2	{n=15}
-26080	无	151879	-1	2	{c=0, d=3, v=359}
-26082	既	97230	-1	2	{c=299, d=8, v=0}
-26085	日	146005	-1	2	{d=0, j=126, n=2, ng=35, q=74, t=0}
-26086	旦	97752	-1	2	{j=0, ng=1, q=0, tg=0, vg=1}
-26087	旧	131964	-1	2	{a=120, an=0, j=4, ng=1}
-26088	旨	98307	-1	2	{ng=0}
-26089	早	131141	-1	2	{a=124, ad=30, an=0, tg=6}
-26092	旬	99628	-1	2	{ng=0, q=0}
-26093	旭	94550	-1	2	{nr=1}
-26094	旮	94547	-1	1	null
-26095	旯	65536	-1	3	{x=0}
-26096	旰	65536	-1	3	{n=0}
-26097	旱	114194	-1	2	{a=7, an=0, ng=0}
-26102	时	141581	-1	2	{d=0, dg=0, m=0, ng=1163, nr=0, q=0, t=0, vg=1}
-26103	旷	100841	-1	2	{a=0, nr=0, vg=0}
-26106	旺	99928	-1	2	{a=9, ad=1, an=0, nr=0}
-26112	昀	65536	-1	3	{n=0}
-26114	昂	95622	-1	2	{ag=0, v=0, vg=2}
-26115	昃	65536	-1	3	{n=0}
-26118	昆	100924	-1	2	{j=36, ng=3, nr=0}
-26122	昊	65536	-1	3	{nr=0}
-26124	昌	99399	-1	2	{ag=0, j=1, nr=0}
-26126	明	145674	-1	2	{a=5, ag=8, d=4, j=0, nr=1, tg=4, vg=3}
-26127	昏	110027	-1	2	{a=0, tg=2, v=1, vn=0}
-26131	易	113144	-1	2	{a=18, ad=10, ng=0, nr=0, v=0, vg=2}
-26132	昔	94956	-1	2	{tg=0}
-26133	昕	65536	-1	3	{n=0}
-26137	昙	87586	-1	1	null
-26141	昝	65536	-1	3	{nr=0}
-26143	星	131477	-1	2	{n=30, ng=2, nr=1}
-26144	映	100256	-1	2	{v=11}
-26149	春	141095	-1	2	{nr=1, tg=79}
-26151	昧	96712	-1	2	{v=1}
-26152	昨	100456	-1	2	{tg=0}
-26157	昭	99775	-1	2	{ag=0, vg=0}
-26159	是	102728	-1	2	{a=0, c=0, d=0, n=0, ng=0, nr=0, r=6, v=9826}
-26161	昱	65536	-1	3	{n=0}
-26164	昴	65536	-1	3	{n=0}
-26165	昵	65536	-1	3	{vg=0}
-26166	昶	65536	-1	3	{n=0}
-26172	昼	101057	-1	2	{ng=0, tg=0}
-26174	显	110899	-1	2	{ag=0, v=29, vd=0}
-26177	晁	65536	-1	3	{nr=0}
-26179	晃	100140	-1	2	{v=3}
-26187	晋	118187	-1	2	{j=8, nr=1, tg=1, v=0, vg=2}
-26188	晌	100029	-1	2	{q=0, tg=1}
-26191	晏	97862	-1	2	{ag=0, nr=0}
-26194	晒	100275	-1	2	{v=10, vn=0}
-26195	晓	101417	-1	2	{tg=0, vg=2}
-26196	晔	65536	-1	3	{n=0}
-26197	晕	101412	-1	2	{v=1}
-26198	晖	95232	-1	2	{nr=1}
-26199	晗	65536	-1	3	{n=0}
-26202	晚	120329	-1	2	{a=18, ad=4, q=0, tg=92}
-26207	晟	65536	-1	3	{n=0}
-26209	晡	65536	-1	3	{n=0}
-26212	晤	97850	-1	2	{vg=2}
-26214	晦	95161	-1	1	null
-26216	晨	100828	-1	2	{nr=2, tg=5}
-26222	普	125975	-1	2	{ag=0, nr=0}
-26223	景	114645	-1	2	{ng=10, nr=0, vg=0}
-26224	晰	65536	-1	3	{n=0}
-26228	晴	100491	-1	2	{an=0, v=8}
-26230	晶	101467	-1	2	{ag=0, ng=0, nr=1}
-26231	晷	65536	-1	3	{n=0}
-26234	智	111115	-1	2	{ag=1, j=1, ng=2, nr=0}
-26238	晾	100115	-1	2	{v=1}
-26242	暂	103320	-1	2	{d=11}
-26244	暄	65536	-1	3	{n=0}
-26247	暇	65536	-1	3	{n=0}
-26252	暌	84777	-1	2	{vg=0}
-26257	暑	101063	-1	2	{ag=0, tg=0}
-26262	暖	111059	-1	2	{a=17, ag=1, an=1, v=6, vg=2}
-26263	暗	139538	-1	2	{a=3, ad=3, ag=0, v=1}
-26269	暝	65536	-1	3	{n=0}
-26279	暧	95553	-1	1	null
-26280	暨	100373	-1	2	{c=11, nr=0}
-26286	暮	101691	-1	2	{ag=1, tg=2}
-26292	暴	128330	-1	2	{a=0, ad=0, n=0, ng=0, nr=0}
-26297	暹	89860	-1	2	{x=0}
-26302	暾	65536	-1	3	{n=0}
-26329	曙	100945	-1	1	null
-26331	曛	65536	-1	3	{n=0}
-26332	曜	65536	-1	3	{n=0}
-26333	曝	100960	-1	2	{vg=0}
-26342	曦	65536	-1	3	{nr=0}
-26345	曩	65536	-1	3	{n=0}
-26352	曰	65536	-1	3	{vg=12}
-26354	曲	133710	-1	2	{ag=0, n=1, ng=3, nr=1, q=20, v=0}
-26355	曳	101028	-1	1	null
-26356	更	124526	-1	2	{d=1068, q=0, vg=1}
-26359	曷	65536	-1	3	{n=0}
-26361	曹	100502	-1	2	{nr=3}
-26364	曼	100267	-1	2	{ag=0}
-26366	曾	101311	-1	2	{d=349, nr=1}
-26367	替	101775	-1	2	{p=17, v=8, vn=0}
-26368	最	112267	-1	2	{d=1055, ng=9, v=0}
-26376	月	139441	-1	2	{n=295, nr=0, q=295}
-26377	有	154786	-1	2	{m=2, n=0, nr=0, v=4638, vn=0}
-26378	朊	65536	-1	3	{n=0}
-26379	朋	101801	-1	2	{ng=0}
-26381	服	112836	-1	2	{j=1, ng=0, q=2, v=7}
-26384	朐	65536	-1	3	{n=0}
-26388	朔	100184	-1	2	{j=4}
-26389	朕	65536	-1	3	{n=0}
-26391	朗	96639	-1	2	{ag=0, nr=1}
-26395	望	115095	-1	2	{ng=0, nr=0, p=0, v=52, vn=0}
-26397	朝	133019	-1	2	{j=10, n=0, ng=0, p=22, q=0, tg=5, v=6}
-26399	期	105471	-1	2	{ng=7, q=71, vg=2}
-26406	朦	96421	-1	1	null
-26408	木	147478	-1	2	{a=1, n=0, ng=3}
-26410	未	115160	-1	2	{d=210, dg=1, v=0}
-26411	末	108074	-1	2	{f=72, j=0, ng=1, t=0}
-26412	本	152121	-1	2	{d=44, j=0, n=37, q=76, r=156, v=0}
-26413	札	103010	-1	2	{ng=0, q=0}
-26415	术	91989	-1	2	{ng=5, v=1}
-26417	朱	109175	-1	2	{ag=1, n=0, nr=11}
-26420	朴	99970	-1	2	{nr=1}
-26421	朵	102421	-1	2	{ng=0, q=9}
-26426	机	146265	-1	2	{j=0, k=0, n=0, ng=17}
-26429	朽	96854	-1	2	{v=0, vn=0}
-26432	杀	122224	-1	2	{v=16}
-26434	杂	138916	-1	2	{a=2, ad=0, an=0, v=0}
-26435	权	112895	-1	2	{j=0, n=55, ng=1, nr=0}
-26438	杆	102640	-1	2	{ng=0, q=4}
-26440	杈	65536	-1	3	{n=1}
-26441	杉	99728	-1	2	{ng=1}
-26444	杌	65536	-1	3	{n=0}
-26446	李	106297	-1	2	{n=0, ng=0, nr=27, nt=0}
-26447	杏	103885	-1	2	{ng=0}
-26448	材	97419	-1	2	{n=0, ng=5}
-26449	村	139219	-1	2	{n=170}
-26451	杓	65536	-1	3	{n=0}
-26454	杖	100646	-1	2	{ng=1}
-26460	杜	107539	-1	2	{nr=0, vg=1}
-26462	杞	103374	-1	1	null
-26463	束	103494	-1	2	{ng=0, nr=0, q=9, v=3}
-26464	杠	100210	-1	2	{ng=0, nr=0, v=0}
-26465	条	132125	-1	2	{ng=1, q=649}
-26469	来	142633	-1	2	{f=524, m=20, ng=0, nr=0, u=13, v=1060, vn=1, y=1}
-26472	杨	115619	-1	2	{ng=0, nr=8}
-26473	杩	65536	-1	3	{x=0}
-26474	杪	65536	-1	3	{n=0}
-26477	杭	102672	-1	2	{j=8, nr=0}
-26479	杯	100373	-1	2	{n=0, ng=13, nz=0, q=31}
-26480	杰	103559	-1	2	{ag=1, ng=1, nr=1}
-26482	杲	65536	-1	3	{nr=0}
-26483	杳	100826	-1	2	{ag=1}
-26485	杵	65536	-1	3	{ng=1, v=0}
-26487	杷	65536	-1	3	{x=0}
-26492	杼	65536	-1	3	{n=0}
-26494	松	144146	-1	2	{a=4, ng=8, nr=0, v=9}
-26495	板	133702	-1	2	{a=0, j=2, n=2, ng=16, q=0, v=0}
-26497	极	128136	-1	2	{d=102, ng=12, vg=0}
-26500	构	103883	-1	2	{ng=0, vg=2}
-26503	枇	97458	-1	1	null
-26505	枉	99899	-1	2	{dg=0, vg=1}
-26507	枋	65536	-1	3	{n=0}
-26512	析	102987	-1	2	{vg=0}
-26517	枕	101206	-1	2	{ng=1, v=0}
-26519	林	136019	-1	2	{j=2, n=1, ng=16, nr=0}
-26520	枘	65536	-1	3	{n=0}
-26522	枚	65536	-1	3	{ng=1, q=67}
-26524	果	141870	-1	2	{d=0, j=0, ng=16, nr=0, vg=1}
-26525	枝	103495	-1	2	{j=1, ng=3, q=5}
-26526	枞	97450	-1	1	null
-26530	枢	97683	-1	1	null
-26531	枣	103750	-1	2	{n=3, ng=0}
-26533	枥	65536	-1	3	{n=0}
-26535	枧	65536	-1	3	{n=0}
-26536	枨	65536	-1	3	{n=0}
-26538	枪	122849	-1	2	{n=13, q=1}
-26539	枫	102662	-1	2	{ng=2, nr=1}
-26541	枭	85523	-1	1	null
-26543	枯	113628	-1	2	{ag=0, v=3, vn=0}
-26544	枰	65536	-1	3	{ng=0}
-26547	枳	101379	-1	1	null
-26549	枵	65536	-1	3	{n=0}
-26550	架	105622	-1	2	{ng=1, q=52, v=28}
-26551	枷	86012	-1	1	null
-26552	枸	97697	-1	1	null
-26561	柁	65536	-1	3	{n=0}
-26563	柃	65536	-1	3	{x=0}
-26564	柄	65536	-1	3	{n=1, ng=2, q=0}
-26575	柏	99056	-1	2	{ng=2, nr=0}
-26576	某	107281	-1	2	{r=107}
-26577	柑	100811	-1	2	{ng=3}
-26578	柒	65536	-1	3	{m=0, nr=0, nz=0}
-26579	染	110096	-1	2	{v=16, vn=0}
-26580	柔	110213	-1	2	{a=1, v=0}
-26584	柘	101735	-1	2	{n=0}
-26585	柙	65536	-1	3	{n=0}
-26586	柚	100845	-1	2	{ng=0}
-26588	柜	102747	-1	2	{ng=1}
-26589	柝	65536	-1	3	{n=0}
-26590	柞	104256	-1	1	null
-26592	柠	96917	-1	1	null
-26594	柢	65536	-1	3	{n=0}
-26597	查	144886	-1	2	{nr=0, v=38}
-26601	柩	87536	-1	1	null
-26604	柬	101765	-1	2	{j=5}
-26607	柯	100692	-1	2	{n=0, ng=0, nr=0}
-26608	柰	65536	-1	3	{n=0}
-26609	柱	101755	-1	2	{n=1, ng=0, q=1}
-26611	柳	133740	-1	2	{j=0, n=2, ng=8, nr=0}
-26612	柴	103812	-1	2	{j=2, n=9, nr=0}
-26621	柽	65536	-1	3	{x=0}
-26623	柿	100939	-1	2	{ng=0}
-26624	栀	100941	-1	2	{ng=3}
-26629	栅	97824	-1	2	{ng=1}
-26631	标	128844	-1	2	{n=0, ng=2, nr=0, q=0, v=5}
-26632	栈	99222	-1	2	{ng=0}
-26633	栉	85254	-1	2	{n=0}
-26634	栊	65536	-1	3	{n=0}
-26635	栋	97629	-1	2	{ng=0, nr=0, q=13}
-26636	栌	65536	-1	3	{x=0}
-26638	栎	65536	-1	3	{ng=0}
-26639	栏	97961	-1	2	{n=11}
-26641	树	137980	-1	2	{n=37, nr=0, q=0, v=56}
-26643	栓	103372	-1	2	{ng=1}
-26646	栖	99741	-1	2	{vg=1}
-26647	栗	101059	-1	2	{ng=1, nr=0}
-26653	栝	65536	-1	3	{x=0}
-26657	校	144475	-1	2	{j=0, ng=10, v=0}
-26665	栩	97799	-1	1	null
-26666	株	100622	-1	2	{j=1, q=11}
-26674	栲	91464	-1	1	null
-26675	栳	65536	-1	3	{x=0}
-26679	样	112542	-1	2	{ng=4, q=5, u=1}
-26680	核	146452	-1	2	{j=0, n=20, ng=0, v=0, vg=1}
-26681	根	121658	-1	2	{n=22, q=52}
-26684	格	124401	-1	2	{j=9, n=2, ng=1, vg=0}
-26685	栽	104391	-1	2	{v=9}
-26686	栾	102254	-1	2	{nr=0}
-26688	桀	95383	-1	2	{nr=0}
-26689	桁	98197	-1	1	null
-26690	桂	117987	-1	2	{j=2, ng=1, nr=0}
-26691	桃	111376	-1	2	{n=0}
-26692	桄	65536	-1	3	{q=0, v=0, x=0}
-26693	桅	98384	-1	2	{ng=4}
-26694	框	102534	-1	2	{ng=2, q=3, v=0}
-26696	案	107419	-1	2	{n=0, ng=36, q=1, u=0}
-26697	桉	98144	-1	1	null
-26698	桊	65536	-1	3	{n=0}
-26700	桌	105069	-1	2	{ng=5, q=3}
-26702	桎	98024	-1	1	null
-26704	桐	104964	-1	2	{ng=0}
-26705	桑	117549	-1	2	{ng=2, nr=0}
-26707	桓	104713	-1	2	{n=0}
-26708	桔	104073	-1	2	{ng=0, nr=0}
-26709	桕	65536	-1	3	{n=0}
-26720	桠	98443	-1	1	null
-26721	桡	103726	-1	1	null
-26722	桢	65536	-1	3	{n=0}
-26723	档	104200	-1	2	{n=0, ng=1, q=2}
-26724	桤	65536	-1	3	{n=0}
-26725	桥	116098	-1	2	{n=21, nr=0}
-26726	桦	103613	-1	2	{nr=3}
-26727	桧	104725	-1	2	{n=0}
-26728	桨	98413	-1	2	{n=4}
-26729	桩	65536	-1	3	{n=1, q=7}
-26731	桫	97994	-1	1	null
-26740	桴	65536	-1	3	{n=0}
-26742	桶	65536	-1	3	{n=1, q=24}
-26743	桷	65536	-1	3	{n=0}
-26753	梁	104975	-1	2	{n=2, nr=0, tg=0}
-26755	梃	101569	-1	1	null
-26757	梅	115310	-1	2	{j=0, ng=4, nr=2}
-26758	梆	101599	-1	2	{o=0}
-26767	梏	65536	-1	3	{n=0}
-26771	梓	98336	-1	1	null
-26775	梗	102408	-1	2	{ng=0, v=0}
-26786	梢	102170	-1	2	{ng=1}
-26790	梦	106489	-1	2	{n=33, nr=0, vg=1}
-26791	梧	100975	-1	1	null
-26792	梨	102830	-1	2	{n=1}
-26797	梭	101677	-1	2	{ng=1, q=0}
-26799	梯	102069	-1	2	{ng=2, q=0}
-26800	械	99020	-1	1	null
-26803	梳	102261	-1	2	{v=1}
-26805	梵	104111	-1	1	null
-26816	检	111776	-1	2	{j=2, ng=0, v=4}
-26818	棂	65536	-1	3	{n=0}
-26825	棉	125948	-1	2	{n=1, ng=13}
-26827	棋	119940	-1	2	{n=9}
-26829	棍	104320	-1	2	{ng=0}
-26834	棒	105188	-1	2	{a=4, ng=1, q=0}
-26837	棕	105984	-1	2	{ag=0, ng=0}
-26840	棘	99983	-1	2	{ng=0}
-26842	棚	107073	-1	2	{n=7, q=0}
-26848	棠	98372	-1	1	null
-26851	棣	98307	-1	1	null
-26862	森	108935	-1	2	{ag=0, nr=0}
-26864	棰	65536	-1	3	{v=0}
-26865	棱	104431	-1	2	{ng=0}
-26869	棵	104386	-1	2	{q=29}
-26873	棹	65536	-1	3	{n=0}
-26874	棺	98843	-1	2	{ng=0}
-26876	棼	65536	-1	3	{n=0}
-26881	椁	65536	-1	3	{n=0}
-26885	椅	102876	-1	2	{ng=4}
-26891	椋	65536	-1	3	{x=0}
-26893	植	104853	-1	2	{nr=0, v=12}
-26894	椎	86836	-1	1	null
-26896	椐	65536	-1	3	{n=0}
-26898	椒	97498	-1	2	{ng=0}
-26911	椟	65536	-1	3	{n=0}
-26912	椠	65536	-1	3	{n=0}
-26916	椤	65536	-1	3	{x=0}
-26925	椭	102951	-1	1	null
-26928	椰	104543	-1	2	{ng=2}
-26932	椴	98865	-1	1	null
-26937	椹	65536	-1	3	{x=0}
-26941	椽	101885	-1	2	{ng=0}
-26943	椿	65536	-1	3	{n=0}
-26946	楂	65536	-1	3	{x=0}
-26964	楔	101900	-1	2	{v=0}
-26967	楗	65536	-1	3	{n=0}
-26970	楚	104750	-1	2	{j=1, nr=0, tg=0}
-26973	楝	98683	-1	1	null
-26974	楞	105291	-1	1	null
-26976	楠	98930	-1	2	{n=0, nr=0}
-26979	楣	65536	-1	3	{n=0}
-26982	楦	101965	-1	2	{ng=0}
-26987	楫	65536	-1	3	{ng=0}
-26990	楮	65536	-1	3	{nr=0}
-26999	楷	105355	-1	2	{j=0, ng=0, nr=0}
-27000	楸	65536	-1	3	{n=0}
-27001	楹	92490	-1	2	{q=0}
-27004	楼	123558	-1	2	{n=75, nr=0, nt=0}
-27008	榀	65536	-1	3	{q=0}
-27010	概	107812	-1	2	{d=2, ng=0}
-27012	榄	65536	-1	3	{n=0}
-27014	榆	105617	-1	2	{ng=0}
-27015	榇	65536	-1	3	{n=0}
-27016	榈	65536	-1	3	{x=0}
-27017	榉	65536	-1	3	{x=0}
-27021	榍	65536	-1	3	{x=0}
-27028	榔	102549	-1	1	null
-27029	榕	102923	-1	2	{j=0, ng=1}
-27035	榛	102011	-1	1	null
-27036	榜	105448	-1	2	{n=2, vg=0}
-27047	榧	102020	-1	1	null
-27048	榨	103948	-1	2	{v=0}
-27051	榫	104044	-1	1	null
-27053	榭	65536	-1	3	{n=0}
-27057	榱	65536	-1	3	{n=0}
-27060	榴	101037	-1	1	null
-27063	榷	65536	-1	3	{n=0}
-27067	榻	65536	-1	3	{n=0}
-27073	槁	65536	-1	3	{n=0}
-27082	槊	65536	-1	3	{n=0}
-27084	槌	65536	-1	3	{ng=1}
-27086	槎	65536	-1	3	{ng=0}
-27088	槐	104046	-1	2	{ng=0, nr=0}
-27092	槔	65536	-1	3	{x=0}
-27099	槛	65536	-1	3	{n=0}
-27103	槟	102067	-1	1	null
-27104	槠	65536	-1	3	{n=0}
-27117	槭	65536	-1	3	{n=0}
-27122	槲	101936	-1	1	null
-27133	槽	105162	-1	2	{ng=2}
-27135	槿	65536	-1	3	{x=0}
-27146	樊	102972	-1	2	{nr=0}
-27159	樗	65536	-1	3	{n=0}
-27160	樘	65536	-1	3	{q=0}
-27167	樟	99040	-1	1	null
-27169	模	116974	-1	2	{ng=1}
-27176	樨	65536	-1	3	{x=0}
-27178	横	148894	-1	2	{a=2, ag=1, d=0, dg=1, j=0, n=0, v=12, vd=0}
-27183	樯	65536	-1	3	{ng=0}
-27185	樱	104797	-1	2	{ng=0, nr=0}
-27189	樵	102819	-1	1	null
-27197	樽	65536	-1	3	{ng=0}
-27198	樾	65536	-1	3	{n=0}
-27204	橄	98641	-1	1	null
-27207	橇	65536	-1	3	{n=0}
-27216	橐	65536	-1	3	{o=0}
-27224	橘	102346	-1	1	null
-27225	橙	102362	-1	2	{ag=1, ng=0}
-27227	橛	102296	-1	1	null
-27233	橡	102262	-1	1	null
-27237	橥	65536	-1	3	{n=0}
-27249	橱	99095	-1	2	{ng=0}
-27257	橹	65536	-1	3	{ng=0}
-27260	橼	65536	-1	3	{x=0}
-27264	檀	99309	-1	2	{ng=1, nr=0}
-27268	檄	105617	-1	1	null
-27278	檎	65536	-1	3	{x=0}
-27280	檐	102318	-1	2	{ng=1}
-27281	檑	65536	-1	3	{n=0}
-27287	檗	65536	-1	3	{x=0}
-27296	檠	65536	-1	3	{n=0}
-27305	檩	102315	-1	2	{ng=0}
-27307	檫	65536	-1	3	{n=0}
-27308	檬	65536	-1	3	{x=0}
-27424	欠	109011	-1	2	{ad=0, d=1, v=32, vn=0}
-27425	次	122735	-1	2	{a=3, ng=0, q=1083}
-27426	欢	130047	-1	2	{a=6, ad=0, vg=0}
-27427	欣	104735	-1	2	{ag=0, nr=0, vg=2}
-27428	欤	65536	-1	3	{y=0}
-27431	欧	115061	-1	2	{j=77, ng=0, nr=0}
-27442	欲	104596	-1	2	{d=17, ng=0, v=0, vg=6}
-27447	欷	65536	-1	3	{x=0}
-27449	欹	65536	-1	3	{ag=0, e=0}
-27450	欺	107987	-1	2	{vg=0, vn=0}
-27454	款	105751	-1	2	{n=21, ng=4, q=18}
-27459	歃	91053	-1	1	null
-27462	歆	65536	-1	3	{n=0}
-27463	歇	110386	-1	2	{v=6}
-27465	歉	102286	-1	2	{ag=1, ng=0}
-27468	歌	135413	-1	2	{n=68, q=1, vg=7}
-27481	歙	104536	-1	2	{n=0}
-27490	止	110847	-1	2	{d=0, v=23, vn=0}
-27491	正	154370	-1	2	{a=11, an=1, b=5, d=339, p=0, v=19}
-27492	此	134765	-1	2	{p=0, r=536}
-27493	步	113724	-1	2	{j=0, n=9, nr=0, q=109, v=3}
-27494	武	150985	-1	2	{ag=2, j=0, ng=0, nr=0}
-27495	歧	106309	-1	2	{ag=0}
-27498	歪	106343	-1	2	{a=3, v=4}
-27513	歹	106391	-1	2	{ag=0}
-27515	死	151118	-1	2	{a=11, d=1, v=41, vn=1}
-27516	歼	105430	-1	2	{vg=0}
-27521	殁	65536	-1	3	{n=0}
-27522	殂	65536	-1	3	{n=0}
-27523	殃	104966	-1	2	{vg=0}
-27524	殄	65536	-1	3	{n=0}
-27526	殆	102806	-1	2	{d=0}
-27527	殇	65536	-1	3	{vg=0}
-27529	殉	104228	-1	2	{vg=1}
-27530	殊	106460	-1	2	{ag=1, d=1}
-27531	残	142127	-1	2	{a=5, an=1, ng=0, vg=0}
-27533	殍	65536	-1	3	{x=0}
-27538	殒	104882	-1	1	null
-27539	殓	65536	-1	3	{vg=0}
-27542	殖	98844	-1	1	null
-27546	殚	101924	-1	1	null
-27547	殛	65536	-1	3	{n=0}
-27553	殡	106349	-1	1	null
-27562	殪	65536	-1	3	{n=0}
-27571	殳	65536	-1	3	{nr=0}
-27572	殴	106297	-1	2	{vg=0}
-27573	段	106237	-1	2	{n=0, ng=22, nr=0, q=187}
-27575	殷	105601	-1	2	{nr=0, o=0, tg=0}
-27583	殿	106587	-1	2	{n=0, ng=1}
-27585	毁	109149	-1	2	{v=11, vn=0}
-27586	毂	65536	-1	3	{x=0}
-27589	毅	105424	-1	2	{nr=2}
-27595	毋	103159	-1	2	{d=0, nr=0}
-27597	母	135909	-1	2	{b=5, ng=3}
-27599	每	136561	-1	2	{d=0, r=253}
-27602	毒	141198	-1	2	{a=0, j=0, n=11, v=0}
-27603	毓	103494	-1	2	{n=0}
-27604	比	145742	-1	2	{j=1, n=4, ng=0, p=441, v=53, vn=0}
-27605	毕	106882	-1	2	{nr=0, vg=7}
-27606	毖	65536	-1	3	{n=0}
-27607	毗	89962	-1	1	null
-27609	毙	105162	-1	2	{v=0}
-27611	毛	149759	-1	2	{a=0, ad=0, j=5, n=2, nr=32, q=0}
-27617	毡	105788	-1	2	{ng=0}
-27626	毪	65536	-1	3	{n=0}
-27627	毫	112667	-1	2	{d=0, ng=0, q=0}
-27631	毯	103594	-1	1	null
-27635	毳	65536	-1	3	{n=0}
-27637	毵	65536	-1	3	{x=0}
-27641	毹	65536	-1	3	{x=0}
-27645	毽	103597	-1	1	null
-27653	氅	65536	-1	3	{n=0}
-27654	氆	99320	-1	1	null
-27655	氇	65536	-1	3	{x=0}
-27661	氍	65536	-1	3	{x=0}
-27663	氏	100913	-1	2	{ng=4}
-27664	氐	65536	-1	3	{n=0}
-27665	民	153383	-1	2	{j=3, n=0, ng=55, nr=1}
-27667	氓	65536	-1	3	{x=0}
-27668	气	155981	-1	2	{a=0, n=32, v=2}
-27669	氕	65536	-1	3	{n=0}
-27670	氖	98501	-1	1	null
-27672	氘	65536	-1	3	{n=0}
-27673	氙	99607	-1	1	null
-27674	氚	65536	-1	3	{n=0}
-27675	氛	105025	-1	1	null
-27679	氟	106256	-1	2	{n=4}
-27681	氡	65536	-1	3	{n=0}
-27682	氢	106079	-1	2	{n=5, ng=0}
-27684	氤	99612	-1	1	null
-27686	氦	98528	-1	2	{n=1}
-27687	氧	106316	-1	2	{n=7}
-27688	氨	106061	-1	2	{n=0}
-27689	氩	99658	-1	2	{n=1}
-27690	氪	65536	-1	3	{n=0}
-27694	氮	106066	-1	2	{n=4}
-27695	氯	108700	-1	2	{n=0}
-27696	氰	106077	-1	1	null
-27698	氲	65536	-1	3	{x=0}
-27700	水	160956	-1	2	{n=218, ng=0, nr=0}
-27704	永	131429	-1	2	{d=17, j=0, nr=1}
-27709	氽	65536	-1	3	{v=0}
-27712	汀	107677	-1	1	null
-27713	汁	99659	-1	2	{ng=0}
-27714	求	143798	-1	2	{ng=0, v=72, vn=0}
-27718	汆	65536	-1	3	{v=0}
-27719	汇	130987	-1	2	{ng=7, v=20}
-27721	汉	146470	-1	2	{j=7, tg=1}
-27722	汊	99881	-1	1	null
-27728	汐	65536	-1	3	{n=0}
-27732	汔	65536	-1	3	{n=0}
-27733	汕	105012	-1	2	{j=0}
-27735	汗	121056	-1	2	{n=17}
-27739	汛	106816	-1	2	{ng=0}
-27740	汜	65536	-1	3	{n=0}
-27741	汝	103854	-1	2	{nr=0, r=0, rg=0}
-27742	汞	106618	-1	2	{n=1}
-27743	江	145493	-1	2	{j=4, n=17, nr=68, q=0}
-27744	池	105438	-1	2	{ng=3, nr=0, q=0}
-27745	污	110198	-1	2	{ag=0, ng=2, vg=0}
-27748	汤	122913	-1	2	{j=0, n=7, nr=1}
-27752	汨	95423	-1	1	null
-27753	汩	100283	-1	1	null
-27754	汪	105426	-1	2	{nr=2, o=0, q=1, v=0}
-27760	汰	65536	-1	3	{vg=1}
-27762	汲	106581	-1	2	{v=0}
-27764	汴	107905	-1	2	{n=0}
-27766	汶	65536	-1	3	{n=0}
-27769	汹	100280	-1	1	null
-27773	汽	113138	-1	1	null
-27774	汾	100244	-1	1	null
-27777	沁	107947	-1	2	{v=0}
-27778	沂	100420	-1	2	{j=0}
-27779	沃	106585	-1	2	{nr=0, vg=0}
-27781	沅	100428	-1	2	{j=0}
-27782	沆	99422	-1	1	null
-27784	沈	107389	-1	2	{j=4, nr=3}
-27785	沉	145381	-1	2	{a=2, v=7}
-27788	沌	65536	-1	3	{x=0}
-27791	沏	94589	-1	2	{v=0}
-27792	沐	100160	-1	2	{vg=0}
-27795	沓	65536	-1	3	{q=5}
-27796	沔	65536	-1	3	{n=0}
-27801	沙	154758	-1	2	{j=0, n=10, ng=1, nr=4}
-27803	沛	106821	-1	2	{ag=0}
-27807	沟	105863	-1	2	{n=8}
-27809	没	146898	-1	2	{d=163, v=83}
-27811	沣	65536	-1	3	{nr=0}
-27812	沤	96419	-1	2	{v=0}
-27813	沥	100634	-1	2	{ng=0}
-27814	沦	108340	-1	1	null
-27815	沧	106922	-1	1	null
-27817	沩	65536	-1	3	{n=0}
-27818	沪	107286	-1	2	{j=29}
-27819	沫	107570	-1	1	null
-27821	沭	89913	-1	2	{j=0}
-27822	沮	108366	-1	1	null
-27825	沱	94784	-1	1	null
-27827	河	142597	-1	2	{n=29, q=0}
-27832	沸	106968	-1	2	{vg=0}
-27833	油	158584	-1	2	{a=0, n=32, v=0}
-27835	治	127452	-1	2	{ng=0, v=74, vg=0, vn=0}
-27836	沼	100910	-1	2	{ng=0}
-27837	沽	107070	-1	2	{j=1}
-27838	沾	108546	-1	2	{v=8}
-27839	沿	109461	-1	2	{f=0, n=0, p=40, v=0}
-27844	泄	112988	-1	2	{vg=3}
-27845	泅	100446	-1	2	{v=0}
-27849	泉	106359	-1	2	{j=0, n=0, ng=5, nr=0, q=0}
-27850	泊	108351	-1	2	{ng=0, vg=1}
-27852	泌	105029	-1	1	null
-27856	泐	65536	-1	3	{n=0}
-27859	泓	65536	-1	3	{q=0}
-27860	泔	100954	-1	1	null
-27861	法	155196	-1	2	{j=70, k=0, n=36, ng=3, nr=0, vg=0}
-27862	泖	65536	-1	3	{n=0}
-27863	泗	104717	-1	2	{j=0}
-27867	泛	106044	-1	2	{ad=0, ag=0, h=1, v=1}
-27870	泞	65536	-1	3	{n=0}
-27872	泠	65536	-1	3	{nr=0}
-27873	泡	105871	-1	2	{n=2, ng=0, q=0, v=5}
-27874	波	132075	-1	2	{j=12, n=4, nr=0}
-27875	泣	108940	-1	2	{ng=0, vg=0}
-27877	泥	142287	-1	2	{n=6, v=0}
-27880	注	120672	-1	2	{ng=1, v=6, vn=0}
-27882	泪	113965	-1	2	{n=11}
-27883	泫	65536	-1	3	{n=0}
-27886	泮	65536	-1	3	{nr=0}
-27887	泯	101214	-1	2	{vg=5}
-27888	泰	120561	-1	2	{j=32, ng=0, nr=0, tg=0}
-27889	泱	101204	-1	1	null
-27891	泳	107896	-1	2	{vg=0}
-27893	泵	103951	-1	2	{n=2, v=0}
-27895	泷	65536	-1	3	{n=0}
-27896	泸	105712	-1	1	null
-27898	泺	65536	-1	3	{n=0}
-27899	泻	100955	-1	2	{n=1, v=4}
-27900	泼	108211	-1	2	{v=1}
-27901	泽	108598	-1	2	{ag=0, ng=0, nr=0}
-27902	泾	107708	-1	1	null
-27905	洁	108230	-1	2	{ag=4}
-27908	洄	65536	-1	3	{n=0}
-27911	洇	65536	-1	3	{v=2}
-27915	洋	154353	-1	2	{ag=9, b=0, ng=2, nr=1}
-27916	洌	65536	-1	3	{n=0}
-27918	洎	65536	-1	3	{n=0}
-27922	洒	104344	-1	2	{v=17}
-27927	洗	135845	-1	2	{v=25}
-27929	洙	65536	-1	3	{n=0}
-27930	洚	65536	-1	3	{n=0}
-27931	洛	112242	-1	2	{j=1}
-27934	洞	110555	-1	2	{dg=0, n=6}
-27941	津	108902	-1	2	{j=12, ng=1}
-27943	洧	65536	-1	3	{n=0}
-27946	洪	128204	-1	2	{ag=0, j=0, ng=1, nr=1}
-27947	洫	65536	-1	3	{n=0}
-27950	洮	108078	-1	1	null
-27953	洱	101393	-1	1	null
-27954	洲	90950	-1	2	{ng=3, q=0}
-27955	洳	65536	-1	3	{x=0}
-27957	洵	65536	-1	3	{n=0}
-27961	洹	65536	-1	3	{n=0}
-27963	活	152383	-1	2	{a=24, d=0, n=28, v=24, vn=1}
-27964	洼	107205	-1	2	{a=1, ng=0}
-27965	洽	107699	-1	2	{ag=0, nr=0}
-27966	派	113105	-1	2	{n=3, ng=0, q=2, v=47, vn=0}
-27969	流	152283	-1	2	{n=0, ng=3, q=0, v=32, vg=1}
-27971	浃	65536	-1	3	{n=0}
-27973	浅	126216	-1	2	{a=10, ad=1, an=0}
-27974	浆	103503	-1	2	{n=1, v=0}
-27975	浇	109853	-1	2	{v=7, vn=0}
-27976	浈	65536	-1	3	{n=0}
-27978	浊	109673	-1	2	{ag=0, an=0}
-27979	测	113211	-1	2	{v=3}
-27981	浍	65536	-1	3	{n=0}
-27982	济	108429	-1	2	{j=1, vg=1}
-27983	浏	94434	-1	1	null
-27985	浑	123343	-1	2	{a=3, ad=0}
-27986	浒	65536	-1	3	{n=0}
-27987	浓	125615	-1	2	{a=20, ad=0, an=0}
-27988	浔	102054	-1	2	{j=0}
-27993	浙	109858	-1	2	{j=4}
-27994	浚	65536	-1	3	{ng=0}
-27998	浞	65536	-1	3	{v=0}
-28000	浠	102098	-1	2	{n=0}
-28003	浣	100752	-1	2	{vg=0}
-28006	浦	109837	-1	2	{j=1, nr=0}
-28009	浩	112102	-1	2	{ag=3, nr=0}
-28010	浪	112428	-1	2	{n=26, vg=0}
-28014	浮	152560	-1	2	{a=0, v=8}
-28015	浯	65536	-1	3	{n=0}
-28020	浴	109715	-1	2	{vg=1, vn=0}
-28023	海	163318	-1	2	{j=8, n=71, nr=0}
-28024	浸	110785	-1	2	{v=6}
-28028	浼	65536	-1	3	{n=0}
-28034	涂	109483	-1	2	{nr=0, v=15}
-28037	涅	100194	-1	2	{ng=0, vg=0}
-28040	消	152795	-1	2	{v=7}
-28041	涉	114326	-1	2	{j=0, vg=6}
-28044	涌	109344	-1	2	{j=0, v=26}
-28046	涎	102499	-1	1	null
-28049	涑	102491	-1	2	{n=0}
-28051	涓	102146	-1	1	null
-28052	涔	65536	-1	3	{n=0}
-28053	涕	102339	-1	2	{ng=0}
-28059	涛	107438	-1	2	{ng=0, nr=1}
-28061	涝	107912	-1	2	{ng=2, v=2, vn=0}
-28062	涞	101907	-1	2	{n=0}
-28063	涟	102519	-1	1	null
-28064	涠	65536	-1	3	{n=0}
-28065	涡	105077	-1	1	null
-28067	涣	104262	-1	1	null
-28068	涤	108936	-1	2	{ng=0, vg=0}
-28070	润	106656	-1	2	{a=0, an=0, nr=0, v=2}
-28071	涧	99349	-1	2	{ng=1}
-28072	涨	110147	-1	2	{v=11, vn=0}
-28073	涩	108653	-1	2	{a=0, an=0}
-28074	涪	91756	-1	1	null
-28075	涫	65536	-1	3	{n=0}
-28078	涮	102371	-1	2	{v=1}
-28079	涯	65536	-1	3	{ng=2}
-28082	液	116755	-1	2	{ng=1}
-28085	涵	110396	-1	2	{vg=0}
-28088	涸	102404	-1	1	null
-28095	涿	108873	-1	1	null
-28096	淀	109040	-1	1	null
-28100	淄	109001	-1	1	null
-28101	淅	106328	-1	1	null
-28102	淆	110268	-1	1	null
-28103	淇	65536	-1	3	{n=0}
-28107	淋	106389	-1	2	{v=2}
-28108	淌	65536	-1	3	{v=4}
-28113	淑	107467	-1	1	null
-28118	淖	65536	-1	3	{n=0}
-28120	淘	102725	-1	2	{v=14}
-28121	淙	102253	-1	1	null
-28125	淝	65536	-1	3	{n=0}
-28126	淞	65536	-1	3	{n=0}
-28128	淠	65536	-1	3	{n=0}
-28129	淡	127190	-1	2	{a=5, an=0, dg=1, ng=0}
-28132	淤	107918	-1	2	{ng=1, v=0, vg=0, vn=0}
-28134	淦	65536	-1	3	{nr=0}
-28139	淫	110933	-1	2	{ag=0}
-28140	淬	101630	-1	1	null
-28142	淮	109439	-1	2	{j=12, ng=0}
-28145	深	156288	-1	2	{a=103, an=2, d=34, j=9, ng=0}
-28147	淳	109176	-1	2	{ag=0}
-28151	混	119932	-1	2	{a=0, ad=1, v=5}
-28153	淹	103118	-1	2	{v=3, vn=1}
-28155	添	110779	-1	2	{v=29}
-28156	淼	97077	-1	1	null
-28165	清	164122	-1	2	{a=56, ad=0, j=0, tg=4, v=13}
-28170	渊	109527	-1	2	{ng=1}
-28172	渌	65536	-1	3	{n=0}
-28173	渍	65536	-1	3	{ng=0, v=0}
-28174	渎	98012	-1	1	null
-28176	渐	110130	-1	2	{d=15, vg=1}
-28177	渑	103137	-1	2	{n=0}
-28180	渔	136539	-1	2	{j=1, ng=1, vg=0}
-28183	渗	111060	-1	2	{v=1}
-28186	渚	65536	-1	3	{n=0}
-28189	渝	110921	-1	2	{j=7, vg=0}
-28192	渠	109489	-1	2	{n=4, ng=0, nr=0}
-28193	渡	109484	-1	2	{ng=0, v=13}
-28195	渣	108755	-1	2	{n=1, ng=0}
-28196	渤	102914	-1	1	null
-28197	渥	108119	-1	1	null
-28201	温	152254	-1	2	{a=0, ag=0, b=0, j=0, ng=2, nr=0, v=1}
-28203	渫	65536	-1	3	{n=0}
-28205	渭	109808	-1	1	null
-28207	港	126177	-1	2	{j=67, n=1}
-28210	渲	104472	-1	2	{vg=0}
-28212	渴	106494	-1	2	{a=6, v=0}
-28216	游	152600	-1	2	{ng=5, nr=1, v=30, vn=4}
-28218	渺	107570	-1	2	{ag=0}
-28227	湃	65536	-1	3	{x=0}
-28228	湄	110275	-1	1	null
-28237	湍	106526	-1	2	{ag=0}
-28238	湎	65536	-1	3	{x=0}
-28243	湓	65536	-1	3	{n=0}
-28244	湔	65536	-1	3	{n=0}
-28246	湖	128615	-1	2	{j=1, n=23, q=0}
-28248	湘	114863	-1	2	{j=5}
-28251	湛	103456	-1	2	{j=0, nr=0}
-28255	湟	111189	-1	2	{n=0}
-28267	湫	65536	-1	3	{n=0}
-28270	湮	103400	-1	1	null
-28286	湾	111025	-1	2	{ng=0, q=0, v=0}
-28287	湿	112099	-1	2	{a=6, v=2}
-28291	溃	111354	-1	2	{vg=0}
-28293	溅	65536	-1	3	{v=4}
-28294	溆	103221	-1	2	{n=0}
-28297	溉	65536	-1	3	{vg=0}
-28303	溏	65536	-1	3	{n=0}
-28304	源	118843	-1	2	{n=1, ng=18, nr=0, vg=0}
-28312	溘	102274	-1	1	null
-28316	溜	114433	-1	2	{ng=0, q=5, v=3}
-28319	溟	65536	-1	3	{n=0}
-28322	溢	111203	-1	2	{v=7}
-28325	溥	65536	-1	3	{nr=0}
-28327	溧	103606	-1	2	{n=0}
-28330	溪	111232	-1	2	{n=0, ng=1}
-28335	溯	103023	-1	2	{vg=0}
-28337	溱	65536	-1	3	{n=0}
-28338	溲	65536	-1	3	{n=0}
-28340	溴	110059	-1	2	{ng=0}
-28342	溶	110792	-1	2	{v=0}
-28343	溷	65536	-1	3	{n=0}
-28346	溺	108193	-1	2	{vg=0}
-28349	溽	105085	-1	1	null
-28353	滁	109901	-1	1	null
-28354	滂	103526	-1	1	null
-28359	滇	110270	-1	2	{j=6}
-28363	滋	111307	-1	2	{v=1, vg=0}
-28367	滏	111362	-1	2	{n=0}
-28369	滑	125732	-1	2	{a=8, nr=0, v=14}
-28371	滓	65536	-1	3	{n=0}
-28372	滔	108599	-1	2	{vg=0}
-28373	滕	107411	-1	2	{nr=0}
-28375	滗	65536	-1	3	{v=0}
-28378	滚	124544	-1	2	{ng=2, v=14}
-28382	滞	109992	-1	2	{vg=4}
-28383	滟	65536	-1	3	{x=0}
-28384	滠	65536	-1	3	{n=0}
-28385	满	148825	-1	2	{a=88, d=6, j=0, nr=0, v=29}
-28386	滢	65536	-1	3	{n=0}
-28388	滤	109538	-1	2	{v=1}
-28389	滥	111873	-1	2	{a=5, ad=10}
-28390	滦	110189	-1	2	{j=0}
-28392	滨	108220	-1	2	{ng=5}
-28393	滩	109657	-1	2	{ng=0}
-28404	滴	116805	-1	2	{q=9, v=7}
-28409	滹	103852	-1	1	null
-28418	漂	111590	-1	2	{v=2}
-28422	漆	111667	-1	2	{n=2, nr=0, v=2}
-28425	漉	65536	-1	3	{v=0}
-28431	漏	113693	-1	2	{ng=0, v=6, vd=0}
-28435	漓	103988	-1	2	{j=0}
-28436	演	125072	-1	2	{j=2, v=44}
-28437	漕	103951	-1	1	null
-28448	漠	111811	-1	1	null
-28452	漤	65536	-1	3	{v=0}
-28457	漩	103836	-1	1	null
-28458	漪	65536	-1	3	{n=0}
-28459	漫	117095	-1	2	{v=6}
-28461	漭	65536	-1	3	{x=0}
-28463	漯	104022	-1	1	null
-28465	漱	110381	-1	2	{v=0}
-28467	漳	110439	-1	2	{j=0}
-28470	漶	65536	-1	3	{x=0}
-28478	漾	108962	-1	2	{v=2}
-28486	潆	65536	-1	3	{x=0}
-28487	潇	104169	-1	2	{j=0}
-28491	潋	65536	-1	3	{x=0}
-28493	潍	110437	-1	1	null
-28504	潘	108414	-1	2	{nr=6}
-28508	潜	125171	-1	2	{v=1, vg=1}
-28510	潞	109457	-1	2	{n=0}
-28514	潢	107901	-1	2	{n=0}
-28518	潦	111438	-1	1	null
-28525	潭	109115	-1	2	{n=1, ng=0, nr=0}
-28526	潮	123953	-1	2	{a=0, n=16, ng=0, nr=0}
-28530	潲	65536	-1	3	{v=0}
-28532	潴	101951	-1	1	null
-28536	潸	103458	-1	1	null
-28538	潺	103473	-1	1	null
-28540	潼	111169	-1	2	{n=0}
-28548	澄	104385	-1	2	{j=0, v=0}
-28552	澈	65536	-1	3	{n=0}
-28553	澉	65536	-1	3	{n=0}
-28556	澌	65536	-1	3	{n=0}
-28557	澍	65536	-1	3	{n=0}
-28558	澎	103815	-1	2	{j=1, nr=0}
-28572	澜	104222	-1	1	null
-28577	澡	109556	-1	2	{ng=0, vg=0}
-28583	澧	65536	-1	3	{j=0}
-28595	澳	111972	-1	2	{h=1, j=38}
-28598	澶	65536	-1	3	{n=0}
-28601	澹	110584	-1	1	null
-28608	激	128947	-1	2	{v=5, vg=0}
-28610	濂	65536	-1	3	{n=0}
-28617	濉	65536	-1	3	{n=0}
-28625	濑	106974	-1	1	null
-28626	濒	112120	-1	2	{vg=0}
-28638	濞	65536	-1	3	{x=0}
-28640	濠	65536	-1	3	{n=0}
-28641	濡	111305	-1	2	{vg=1}
-28654	濮	93678	-1	2	{nr=0}
-28655	濯	93950	-1	2	{vg=0}
-28689	瀑	108068	-1	2	{ng=1}
-28698	瀚	104114	-1	2	{n=0}
-28699	瀛	110662	-1	2	{n=0}
-28707	瀣	65536	-1	3	{x=0}
-28725	瀵	65536	-1	3	{n=0}
-28729	瀹	65536	-1	3	{n=0}
-28748	灌	115272	-1	2	{j=0, ng=0, v=1}
-28751	灏	65536	-1	3	{n=0}
-28766	灞	65536	-1	3	{x=0}
-28779	火	163439	-1	2	{a=1, ad=0, n=23, nr=0, s=0, v=6}
-28781	灭	112341	-1	2	{v=13}
-28783	灯	150067	-1	2	{n=36}
-28784	灰	148454	-1	2	{a=0, ag=1, b=0, n=0}
-28789	灵	150258	-1	2	{a=9, j=0, ng=0}
-28790	灶	111729	-1	2	{n=12}
-28792	灸	65536	-1	3	{n=0}
-28796	灼	112260	-1	2	{ag=0, vg=0}
-28798	灾	112416	-1	2	{n=18}
-28799	灿	103631	-1	2	{ag=1}
-28800	炀	65536	-1	3	{n=0}
-28805	炅	65536	-1	3	{n=0}
-28809	炉	115645	-1	2	{n=1, ng=2, q=0}
-28810	炊	112421	-1	2	{vg=0}
-28814	炎	111577	-1	2	{k=0, ng=0}
-28818	炒	117044	-1	2	{v=11}
-28820	炔	96701	-1	1	null
-28821	炕	114268	-1	2	{n=4}
-28822	炖	65536	-1	3	{v=0}
-28825	炙	107376	-1	1	null
-28828	炜	65536	-1	3	{nr=0}
-28829	炝	65536	-1	3	{v=0}
-28843	炫	102109	-1	2	{vg=0}
-28844	炬	65536	-1	3	{n=0}
-28845	炭	111634	-1	2	{n=0}
-28846	炮	128320	-1	2	{n=2, q=0, v=0}
-28847	炯	103725	-1	1	null
-28849	炱	65536	-1	3	{n=0}
-28851	炳	65536	-1	3	{n=0}
-28855	炷	65536	-1	3	{q=0}
-28856	炸	113307	-1	2	{v=7, vn=0}
-28857	点	144376	-1	2	{a=0, m=0, n=36, q=221, v=26}
-28859	炻	65536	-1	3	{x=0}
-28860	炼	115275	-1	2	{v=1}
-28861	炽	103793	-1	2	{ag=1}
-28864	烀	65536	-1	3	{v=0}
-28865	烁	65536	-1	3	{ag=0}
-28866	烂	112780	-1	2	{a=5, v=3}
-28867	烃	65536	-1	3	{n=0}
-28872	烈	116501	-1	2	{a=1}
-28874	烊	65536	-1	3	{x=0}
-28888	烘	119099	-1	2	{v=0}
-28889	烙	111345	-1	2	{v=1}
-28891	烛	111906	-1	2	{ng=0}
-28895	烟	154684	-1	2	{j=0, n=43, v=1}
-28900	烤	105020	-1	2	{v=5, vn=0}
-28902	烦	115028	-1	2	{a=1, v=1}
-28903	烧	146106	-1	2	{n=0, v=16}
-28904	烨	65536	-1	3	{nr=0}
-28905	烩	98348	-1	2	{v=0}
-28907	烫	112525	-1	2	{a=0, v=4}
-28908	烬	65536	-1	3	{n=0}
-28909	热	162061	-1	2	{a=43, ad=0, an=0, j=1, k=2, n=4, v=1, vn=0}
-28911	烯	65536	-1	3	{x=0}
-28919	烷	110416	-1	2	{n=0}
-28921	烹	111888	-1	2	{v=1}
-28925	烽	104162	-1	1	null
-28937	焉	65536	-1	3	{d=1, dg=0, r=1, v=1, y=2}
-28938	焊	121185	-1	2	{v=2}
-28944	焐	65536	-1	3	{v=0}
-28947	焓	65536	-1	3	{n=0}
-28949	焕	111493	-1	2	{ag=0, vg=0}
-28950	焖	103680	-1	2	{v=1}
-28952	焘	65536	-1	3	{nr=0}
-28953	焙	111936	-1	2	{v=0}
-28954	焚	113074	-1	2	{vg=0}
-28966	焦	139002	-1	2	{a=1, an=0, j=1, ng=1, nr=0}
-28975	焯	65536	-1	3	{v=0}
-28976	焰	111536	-1	1	null
-28977	焱	65536	-1	3	{n=0}
-28982	然	111997	-1	2	{c=2, k=0, r=5}
-28997	煅	104113	-1	2	{v=0}
-29002	煊	96810	-1	2	{x=0}
-29004	煌	65536	-1	3	{ag=0}
-29006	煎	103919	-1	2	{q=0, v=3, vn=0}
-29020	煜	103997	-1	1	null
-29022	煞	112734	-1	2	{ag=1, dg=4, v=2, y=1}
-29028	煤	152680	-1	2	{j=0, n=40}
-29030	煦	65536	-1	3	{nr=0}
-29031	照	149768	-1	2	{d=0, ng=0, p=6, v=14, vd=0}
-29032	煨	65536	-1	3	{v=0}
-29038	煮	105288	-1	2	{v=5}
-29042	煲	65536	-1	3	{v=2}
-29043	煳	65536	-1	3	{a=0}
-29048	煸	65536	-1	3	{v=0}
-29050	煺	65536	-1	3	{v=0}
-29053	煽	111963	-1	1	null
-29060	熄	104405	-1	2	{v=3}
-29066	熊	112270	-1	2	{n=4, nr=0}
-29071	熏	112146	-1	2	{v=2}
-29076	熔	114014	-1	2	{v=2}
-29080	熘	100229	-1	2	{v=0}
-29081	熙	111539	-1	1	null
-29087	熟	134321	-1	2	{a=4, ad=0, v=1}
-29088	熠	104125	-1	1	null
-29096	熨	109143	-1	2	{v=0}
-29100	熬	110438	-1	2	{v=6}
-29107	熳	65536	-1	3	{x=0}
-29109	熵	65536	-1	3	{n=0}
-29113	熹	108739	-1	1	null
-29123	燃	107895	-1	2	{ng=0, vg=7}
-29134	燎	111831	-1	2	{v=0}
-29140	燔	65536	-1	3	{n=0}
-29141	燕	124081	-1	2	{ng=0, nr=1}
-29152	燠	65536	-1	3	{ag=0}
-29157	燥	104390	-1	2	{ag=0}
-29159	燧	102593	-1	1	null
-29166	燮	65536	-1	3	{n=0}
-29177	燹	65536	-1	3	{n=0}
-29190	爆	113130	-1	2	{v=3, vd=0, vn=0}
-29213	爝	65536	-1	3	{x=0}
-29224	爨	65536	-1	3	{n=0}
-29226	爪	112733	-1	2	{ng=0}
-29228	爬	112005	-1	2	{v=23}
-29232	爰	65536	-1	3	{n=0}
-29233	爱	157857	-1	2	{j=5, nr=0, v=125, vn=20}
-29237	爵	113154	-1	2	{ng=0}
-29238	父	113506	-1	2	{ng=4}
-29239	爷	113278	-1	2	{ng=0}
-29240	爸	104236	-1	2	{n=2}
-29241	爹	111209	-1	2	{n=1}
-29243	爻	65536	-1	3	{n=0}
-29245	爽	114614	-1	2	{ag=0, nr=0}
-29247	爿	65536	-1	3	{q=0}
-29255	片	124478	-1	2	{ng=13, q=136}
-29256	版	119366	-1	2	{b=0, n=67, q=0, vg=0}
-29260	牌	123402	-1	2	{n=41, nz=0}
-29261	牍	65536	-1	3	{n=0}
-29266	牒	65536	-1	3	{n=0}
-29270	牖	65536	-1	3	{n=0}
-29273	牙	143207	-1	2	{n=7}
-29275	牛	154026	-1	2	{ag=1, j=0, n=40, ng=0, nr=1}
-29277	牝	104381	-1	1	null
-29279	牟	112674	-1	2	{nr=0, vg=0}
-29281	牡	113650	-1	1	null
-29282	牢	114742	-1	2	{a=2, ng=2}
-29286	牦	104406	-1	1	null
-29287	牧	129480	-1	2	{j=2, ng=0, nr=0, vg=0}
-29289	物	133877	-1	2	{n=1, ng=32}
-29294	牮	65536	-1	3	{n=0}
-29295	牯	104520	-1	1	null
-29298	牲	112333	-1	1	null
-29301	牵	116611	-1	2	{v=10}
-29305	特	157251	-1	2	{ag=2, d=22, j=1}
-29306	牺	104672	-1	1	null
-29310	牾	65536	-1	3	{vg=0}
-29311	牿	65536	-1	3	{n=0}
-29312	犀	112978	-1	2	{ng=0}
-29313	犁	112093	-1	2	{n=3, q=0, v=1}
-29316	犄	98706	-1	1	null
-29322	犊	65536	-1	3	{ng=0}
-29323	犋	65536	-1	3	{q=0}
-29325	犍	104715	-1	1	null
-29327	犏	65536	-1	3	{x=0}
-29330	犒	112825	-1	1	null
-29343	犟	112853	-1	2	{a=0}
-29356	犬	110639	-1	2	{ng=0}
-29359	犯	121973	-1	2	{n=0, ng=0, v=25}
-29360	犰	65536	-1	3	{x=0}
-29364	犴	65536	-1	3	{x=0}
-29366	状	113387	-1	2	{ng=6, vg=0}
-29367	犷	109310	-1	1	null
-29368	犸	65536	-1	3	{x=0}
-29369	犹	114343	-1	2	{d=9, j=0, v=0}
-29377	狁	65536	-1	3	{x=0}
-29378	狂	139045	-1	2	{a=3, d=12, dg=0}
-29379	狃	65536	-1	3	{n=0}
-29380	狄	111470	-1	2	{ng=0, nr=0}
-29384	狈	65536	-1	3	{x=0}
-29389	狍	110725	-1	1	null
-29390	狎	107944	-1	1	null
-29392	狐	118411	-1	2	{ng=0, nr=0}
-29394	狒	104751	-1	1	null
-29399	狗	128146	-1	2	{n=2}
-29401	狙	113202	-1	1	null
-29406	狞	102683	-1	1	null
-29408	狠	112677	-1	2	{a=1, d=8}
-29409	狡	113475	-1	1	null
-29417	狩	104752	-1	1	null
-29420	独	162766	-1	2	{a=9, d=8, v=0}
-29421	狭	115098	-1	2	{ag=0}
-29422	狮	112013	-1	2	{n=0, ng=3}
-29423	狯	65536	-1	3	{n=0}
-29424	狰	104990	-1	1	null
-29425	狱	114413	-1	2	{ng=2}
-29426	狲	65536	-1	3	{x=0}
-29427	狳	65536	-1	3	{x=0}
-29428	狴	65536	-1	3	{x=0}
-29431	狷	65536	-1	3	{x=0}
-29432	狸	111022	-1	1	null
-29434	狺	65536	-1	3	{x=0}
-29435	狻	65536	-1	3	{x=0}
-29436	狼	128846	-1	2	{n=1}
-29441	猁	65536	-1	3	{x=0}
-29443	猃	65536	-1	3	{n=0}
-29450	猊	65536	-1	3	{x=0}
-29454	猎	124618	-1	2	{ng=0, vg=0}
-29461	猕	104966	-1	1	null
-29462	猖	105083	-1	1	null
-29463	猗	65536	-1	3	{e=0, y=0}
-29467	猛	127633	-1	2	{a=9, d=13}
-29468	猜	114959	-1	2	{v=4}
-29469	猝	114484	-1	2	{dg=0}
-29470	猞	105026	-1	1	null
-29473	猡	65536	-1	3	{x=0}
-29474	猢	105042	-1	1	null
-29477	猥	114332	-1	1	null
-29481	猩	104993	-1	1	null
-29482	猪	141675	-1	2	{n=37}
-29483	猫	113753	-1	2	{n=1, v=0}
-29484	猬	65536	-1	3	{n=0}
-29486	献	117906	-1	2	{v=52}
-29489	猱	65536	-1	3	{n=0}
-29492	猴	113939	-1	2	{ng=3}
-29495	猷	65536	-1	3	{n=0}
-29496	猸	65536	-1	3	{n=0}
-29497	猹	65536	-1	3	{n=0}
-29502	猾	65536	-1	3	{n=0}
-29503	猿	114439	-1	2	{ng=0}
-29517	獍	65536	-1	3	{n=0}
-29520	獐	111769	-1	1	null
-29522	獒	65536	-1	3	{n=0}
-29527	獗	65536	-1	3	{x=0}
-29536	獠	105335	-1	1	null
-29548	獬	65536	-1	3	{x=0}
-29549	獭	113789	-1	2	{n=0}
-29551	獯	65536	-1	3	{x=0}
-29566	獾	65536	-1	3	{n=0}
-29572	玄	119192	-1	2	{a=0}
-29575	率	113885	-1	2	{dg=0, k=0, ng=0, v=23, vg=1}
-29577	玉	155714	-1	2	{j=0, n=13, nr=0}
-29579	王	143117	-1	2	{n=16, nr=31}
-29582	玎	65536	-1	3	{x=0}
-29585	玑	65536	-1	3	{n=0}
-29590	玖	65536	-1	3	{m=0}
-29595	玛	114355	-1	2	{nr=0}
-29602	玢	65536	-1	3	{x=0}
-29609	玩	128369	-1	2	{ng=0, v=23}
-29611	玫	104978	-1	1	null
-29614	玮	65536	-1	3	{nr=0}
-29615	环	136282	-1	2	{n=10, nr=0, q=0, v=22, vg=0, vn=1}
-29616	现	153775	-1	2	{b=0, d=0, ng=0, t=0, tg=71, v=4, vg=0, vn=0}
-29618	玲	105244	-1	2	{nr=0}
-29619	玳	105149	-1	1	null
-29623	玷	107170	-1	1	null
-29626	玺	65536	-1	3	{ng=0}
-29627	玻	113884	-1	2	{j=0}
-29632	珀	110319	-1	1	null
-29634	珂	102334	-1	1	null
-29640	珈	65536	-1	3	{n=0}
-29641	珉	65536	-1	3	{nr=0}
-29642	珊	105150	-1	1	null
-29645	珍	122810	-1	2	{ag=0, ng=0, vg=0}
-29647	珏	65536	-1	3	{n=0}
-29648	珐	105260	-1	1	null
-29649	珑	65536	-1	3	{x=0}
-29657	珙	113528	-1	2	{n=0}
-29662	珞	110917	-1	1	null
-29664	珠	117073	-1	2	{j=2, ng=5}
-29669	珥	96509	-1	2	{n=0}
-29671	珧	65536	-1	3	{n=0}
-29673	珩	65536	-1	3	{n=0}
-29677	班	127620	-1	2	{n=25, nr=1, q=6}
-29682	珲	108903	-1	2	{n=0}
-29699	球	153886	-1	2	{n=23, q=0}
-29701	琅	105390	-1	1	null
-29702	理	154146	-1	2	{j=1, n=14, v=13}
-29705	琉	105470	-1	1	null
-29706	琊	65536	-1	3	{n=0}
-29711	琏	65536	-1	3	{n=0}
-29712	琐	115083	-1	2	{ag=0}
-29722	琚	65536	-1	3	{nr=0}
-29723	琛	65536	-1	3	{n=0}
-29730	琢	104206	-1	2	{v=6}
-29733	琥	105540	-1	1	null
-29734	琦	105598	-1	2	{nr=0}
-29736	琨	65536	-1	3	{n=0}
-29738	琪	65536	-1	3	{n=0}
-29740	琬	65536	-1	3	{n=0}
-29742	琮	65536	-1	3	{n=0}
-29744	琰	65536	-1	3	{n=0}
-29747	琳	105477	-1	2	{nr=0}
-29748	琴	115193	-1	2	{n=5, nr=0}
-29749	琵	105444	-1	1	null
-29750	琶	65536	-1	3	{x=0}
-29756	琼	114406	-1	2	{j=1, ng=1, nr=0}
-29761	瑁	65536	-1	3	{x=0}
-29781	瑕	115233	-1	1	null
-29783	瑗	65536	-1	3	{n=0}
-29785	瑙	95162	-1	1	null
-29786	瑚	65536	-1	3	{x=0}
-29787	瑛	65536	-1	3	{n=0}
-29788	瑜	65536	-1	3	{nr=0}
-29790	瑞	116551	-1	2	{ag=2, j=2, ng=0}
-29791	瑟	105462	-1	2	{ng=0}
-29805	瑭	65536	-1	3	{n=0}
-29808	瑰	115228	-1	1	null
-29814	瑶	115342	-1	2	{j=1}
-29815	瑷	65536	-1	3	{x=0}
-29822	瑾	65536	-1	3	{nr=0}
-29824	璀	105397	-1	1	null
-29825	璁	65536	-1	3	{n=0}
-29827	璃	65536	-1	3	{x=0}
-29831	璇	65536	-1	3	{n=0}
-29835	璋	65536	-1	3	{n=0}
-29838	璎	105610	-1	1	null
-29840	璐	65536	-1	3	{nr=0}
-29852	璜	112658	-1	2	{nr=0}
-29854	璞	105703	-1	2	{ng=0, nr=0}
-29863	璧	99417	-1	1	null
-29864	璨	65536	-1	3	{n=0}
-29865	璩	65536	-1	3	{nr=0}
-29882	璺	65536	-1	3	{n=0}
-29906	瓒	65536	-1	3	{nr=0}
-29916	瓜	117088	-1	2	{n=7}
-29918	瓞	65536	-1	3	{n=0}
-29920	瓠	65536	-1	3	{n=0}
-29922	瓢	107420	-1	2	{n=1, q=1}
-29923	瓣	102142	-1	2	{ng=0, q=0}
-29924	瓤	111951	-1	2	{ng=0}
-29926	瓦	144196	-1	2	{n=3, q=3, v=0}
-29934	瓮	115382	-1	2	{n=0}
-29935	瓯	107371	-1	2	{j=0}
-29940	瓴	65536	-1	3	{n=0}
-29942	瓶	113975	-1	2	{n=11, q=6}
-29943	瓷	122297	-1	2	{ng=4}
-29951	瓿	65536	-1	3	{n=0}
-29956	甄	114371	-1	2	{nr=0}
-29965	甍	65536	-1	3	{n=0}
-29967	甏	65536	-1	3	{ng=0}
-29969	甑	112023	-1	2	{nr=0}
-29971	甓	65536	-1	3	{n=0}
-29976	甘	144076	-1	2	{ad=0, ag=0, j=1, nr=0, vg=2}
-29977	甙	65536	-1	3	{n=0}
-29978	甚	115793	-1	2	{d=0, dg=41, rg=0, vg=0}
-29980	甜	132600	-1	2	{a=14, an=1}
-29983	生	168473	-1	2	{a=1, dg=0, j=0, k=0, n=0, ng=2, nr=0, v=66, vn=1}
-29989	甥	112811	-1	1	null
-29992	用	161807	-1	2	{ng=5, p=415, v=349, vn=2}
-29993	甩	114636	-1	2	{v=15}
-29995	甫	65536	-1	3	{d=0}
-29996	甬	114704	-1	2	{j=1}
-29997	甭	104136	-1	2	{d=1, v=0, vd=0}
-30000	田	156612	-1	2	{n=17, nr=0, nt=0, r=0}
-30001	由	117221	-1	2	{d=0, nr=0, p=1158, v=10}
-30002	甲	151701	-1	2	{m=0, mg=2, n=2, nz=0, v=0}
-30003	申	117206	-1	2	{j=0, nr=0, v=0, vg=0}
-30005	电	169029	-1	2	{j=0, n=1232, v=0}
-30007	男	142280	-1	2	{b=43, j=0, n=0, ng=1}
-30008	甸	112819	-1	1	null
-30010	町	109753	-1	1	null
-30011	画	164216	-1	2	{n=24, q=0, v=64}
-30014	甾	65536	-1	3	{n=0}
-30016	畀	65536	-1	3	{n=0}
-30021	畅	115375	-1	2	{a=12, ad=0, ag=1, nr=0}
-30024	畈	65536	-1	3	{q=0}
-30027	畋	65536	-1	3	{n=0}
-30028	界	115701	-1	2	{k=8, n=1, ng=0}
-30030	畎	65536	-1	3	{n=0}
-30031	畏	116459	-1	2	{vg=1}
-30036	畔	65536	-1	3	{f=0, ng=5}
-30041	留	162047	-1	2	{ng=1, v=67, vn=0}
-30042	畚	104676	-1	1	null
-30043	畛	65536	-1	3	{n=0}
-30044	畜	116199	-1	2	{j=0, n=0, ng=9}
-30053	略	130220	-1	2	{d=32, ng=0, v=0}
-30054	畦	106382	-1	2	{ng=0, q=0}
-30058	番	114904	-1	2	{ng=0, q=29}
-30066	畲	110328	-1	2	{j=0}
-30068	畴	65536	-1	3	{n=0}
-30072	畸	114930	-1	2	{ng=0}
-30073	畹	106392	-1	1	null
-30079	畿	65536	-1	3	{n=0}
-30083	疃	65536	-1	3	{n=0}
-30086	疆	114107	-1	2	{j=4, ng=1}
-30091	疋	65536	-1	3	{n=0}
-30095	疏	131446	-1	2	{ag=0, ng=0, vg=4, vn=0}
-30097	疑	126298	-1	2	{ng=0, vg=2}
-30100	疔	106295	-1	1	null
-30102	疖	113064	-1	1	null
-30103	疗	115585	-1	2	{vg=1}
-30105	疙	106351	-1	1	null
-30106	疚	65536	-1	3	{n=0}
-30109	疝	108783	-1	1	null
-30111	疟	115085	-1	1	null
-30112	疠	65536	-1	3	{n=0}
-30113	疡	65536	-1	3	{n=0}
-30115	疣	65536	-1	3	{n=0}
-30116	疤	106304	-1	2	{n=0}
-30117	疥	106333	-1	1	null
-30123	疫	115187	-1	2	{ng=0}
-30124	疬	65536	-1	3	{x=0}
-30126	疮	115003	-1	2	{n=0}
-30127	疯	123474	-1	2	{v=4}
-30128	疰	113702	-1	1	null
-30129	疱	106368	-1	2	{n=0}
-30130	疲	119671	-1	2	{a=1}
-30131	疳	106402	-1	1	null
-30132	疴	65536	-1	3	{n=0}
-30133	疵	107672	-1	1	null
-30136	疸	65536	-1	3	{x=0}
-30137	疹	113155	-1	1	null
-30140	疼	107302	-1	2	{a=6, v=3}
-30141	疽	65536	-1	3	{n=0}
-30142	疾	115536	-1	2	{ag=0, dg=0, ng=0}
-30146	痂	65536	-1	3	{n=0}
-30147	痃	65536	-1	3	{x=0}
-30148	痄	103445	-1	1	null
-30149	病	166437	-1	2	{n=59, v=10, vn=0}
-30151	症	116122	-1	2	{k=1, ng=3}
-30152	痈	106490	-1	1	null
-30153	痉	111261	-1	1	null
-30154	痊	111794	-1	1	null
-30157	痍	65536	-1	3	{n=0}
-30162	痒	106487	-1	2	{a=0}
-30164	痔	108210	-1	1	null
-30165	痕	99785	-1	2	{ng=1}
-30166	痖	65536	-1	3	{n=0}
-30168	痘	106527	-1	1	null
-30171	痛	146146	-1	2	{a=6, an=0, dg=4}
-30174	痞	113319	-1	1	null
-30178	痢	107399	-1	1	null
-30179	痣	65536	-1	3	{n=0}
-30180	痤	106576	-1	1	null
-30182	痦	113336	-1	1	null
-30183	痧	113339	-1	1	null
-30184	痨	106571	-1	1	null
-30186	痪	65536	-1	3	{x=0}
-30187	痫	65536	-1	3	{x=0}
-30192	痰	115327	-1	2	{n=0}
-30193	痱	113350	-1	1	null
-30196	痴	116591	-1	2	{a=1, ad=0}
-30201	痹	106588	-1	2	{ng=5}
-30204	痼	116683	-1	1	null
-30207	痿	65536	-1	3	{n=0}
-30208	瘀	65536	-1	3	{n=0}
-30209	瘁	65536	-1	3	{vg=0}
-30211	瘃	65536	-1	3	{n=0}
-30213	瘅	65536	-1	3	{x=0}
-30218	瘊	113375	-1	1	null
-30220	瘌	106575	-1	1	null
-30224	瘐	65536	-1	3	{x=0}
-30229	瘕	65536	-1	3	{n=0}
-30231	瘗	65536	-1	3	{n=0}
-30232	瘘	65536	-1	3	{n=0}
-30233	瘙	65536	-1	3	{n=0}
-30235	瘛	65536	-1	3	{x=0}
-30239	瘟	106651	-1	2	{v=0}
-30240	瘠	102576	-1	2	{ag=1}
-30242	瘢	106592	-1	1	null
-30244	瘤	113383	-1	2	{n=0, ng=0}
-30245	瘥	65536	-1	3	{n=0}
-30246	瘦	119388	-1	2	{a=7, an=0}
-30249	瘩	65536	-1	3	{x=0}
-30250	瘪	116806	-1	2	{a=1}
-30251	瘫	113413	-1	2	{v=4}
-30253	瘭	65536	-1	3	{x=0}
-30256	瘰	106660	-1	1	null
-30259	瘳	65536	-1	3	{nr=0}
-30260	瘴	109118	-1	1	null
-30261	瘵	65536	-1	3	{n=0}
-30264	瘸	113416	-1	2	{v=1}
-30268	瘼	65536	-1	3	{n=0}
-30270	瘾	115271	-1	2	{n=2, ng=0}
-30271	瘿	65536	-1	3	{n=0}
-30272	癀	65536	-1	3	{x=0}
-30275	癃	65536	-1	3	{n=0}
-30284	癌	115331	-1	2	{n=1}
-30285	癍	65536	-1	3	{n=0}
-30292	癔	106662	-1	1	null
-30294	癖	113904	-1	2	{ng=0}
-30300	癜	65536	-1	3	{n=0}
-30302	癞	106670	-1	1	null
-30307	癣	65536	-1	3	{n=0}
-30315	癫	107439	-1	2	{vg=0}
-30319	癯	65536	-1	3	{n=0}
-30328	癸	120486	-1	2	{mg=0}
-30331	登	131841	-1	2	{v=47}
-30333	白	173294	-1	2	{a=49, an=0, b=1, d=6, j=18, ng=1, nr=3, v=4}
-30334	百	161753	-1	2	{m=136}
-30338	皂	107161	-1	1	null
-30340	的	116155	-1	2	{b=0, d=0, f=0, n=0, ng=0, p=0, r=0, uj=54477, v=0, w=0}
-30342	皆	114697	-1	2	{d=23}
-30343	皇	148276	-1	2	{ng=0}
-30344	皈	117150	-1	1	null
-30347	皋	65536	-1	3	{n=0}
-30350	皎	109627	-1	1	null
-30353	皑	107191	-1	1	null
-30355	皓	111169	-1	1	null
-30358	皖	116287	-1	2	{j=0}
-30361	皙	65536	-1	3	{n=0}
-30372	皤	65536	-1	3	{n=0}
-30382	皮	160555	-1	2	{a=0, n=23, nr=0}
-30385	皱	113696	-1	2	{n=1, v=0}
-30386	皲	102633	-1	1	null
-30388	皴	109785	-1	2	{n=0, v=0}
-30399	皿	65536	-1	3	{x=0}
-30402	盂	116205	-1	2	{n=0}
-30405	盅	114271	-1	2	{ng=0, q=0}
-30406	盆	115840	-1	2	{n=9, q=16}
-30408	盈	118239	-1	2	{ag=0, vg=5}
-30410	益	116508	-1	2	{dg=0, ng=0, nr=0, vg=0}
-30413	盍	65536	-1	3	{n=0}
-30414	盎	116170	-1	1	null
-30415	盏	65536	-1	3	{ng=0, q=24}
-30416	盐	138328	-1	2	{n=3}
-30417	监	135868	-1	2	{j=0, ng=0, vg=0}
-30418	盒	114393	-1	2	{ng=3, q=4}
-30420	盔	107779	-1	1	null
-30422	盖	123879	-1	2	{d=3, n=0, ng=1, nr=0, v=35}
-30423	盗	126301	-1	2	{ng=0, vg=7}
-30424	盘	155703	-1	2	{n=0, ng=3, nr=0, q=24, v=0}
-30427	盛	154555	-1	2	{a=1, ad=0, ng=0, nr=0, v=8}
-30431	盟	118782	-1	2	{n=1, ng=2}
-30437	盥	109986	-1	1	null
-30446	目	136321	-1	2	{ng=9, q=4, vg=0}
-30447	盯	117704	-1	2	{v=14}
-30449	盱	107517	-1	1	null
-30450	盲	124225	-1	2	{ng=0, vg=0}
-30452	直	160854	-1	2	{a=3, d=30, n=0, v=1}
-30456	相	171768	-1	2	{d=219, ng=4, nr=0, v=5, vg=0}
-30457	盹	65536	-1	3	{ng=0}
-30460	盼	115461	-1	2	{v=28, vn=0}
-30462	盾	109041	-1	2	{ng=0, q=19}
-30465	省	161721	-1	2	{a=0, j=0, n=315, v=13, vd=0, vg=0}
-30468	眄	65536	-1	3	{vg=0}
-30471	眇	65536	-1	3	{n=0}
-30472	眈	65536	-1	3	{x=0}
-30473	眉	132583	-1	2	{n=0}
-30475	看	148161	-1	2	{a=1, u=4, v=600, vn=0}
-30477	眍	65536	-1	3	{v=0}
-30489	眙	65536	-1	3	{n=0}
-30490	眚	65536	-1	3	{ng=0}
-30495	真	166573	-1	2	{a=26, an=0, d=80, j=0, ng=0, v=0}
-30496	眠	114875	-1	2	{vg=1}
-30498	眢	65536	-1	3	{n=0}
-30502	眦	65536	-1	3	{n=0}
-30504	眨	114492	-1	2	{v=3}
-30505	眩	112349	-1	2	{vg=0}
-30509	眭	65536	-1	3	{nr=0}
-30511	眯	106009	-1	2	{v=2}
-30517	眵	65536	-1	3	{n=0}
-30518	眶	65536	-1	3	{ng=1}
-30519	眷	114961	-1	1	null
-30520	眸	115181	-1	1	null
-30522	眺	112167	-1	2	{vg=0}
-30524	眼	162576	-1	2	{n=30, q=13}
-30528	着	134822	-1	2	{n=0, q=1, uz=1664, v=19}
-30529	睁	108132	-1	2	{v=8}
-30531	睃	65536	-1	3	{v=0}
-30535	睇	65536	-1	3	{vg=0}
-30544	睐	65536	-1	3	{n=0}
-30545	睑	65536	-1	3	{n=0}
-30554	睚	108161	-1	2	{n=0}
-30555	睛	65536	-1	3	{ng=0}
-30561	睡	127735	-1	2	{v=18, vn=0}
-30562	睢	65536	-1	3	{nr=0, x=0}
-30563	督	119084	-1	2	{vg=0}
-30565	睥	65536	-1	3	{x=0}
-30566	睦	101633	-1	2	{ag=1}
-30568	睨	65536	-1	3	{vg=0}
-30571	睫	111079	-1	1	null
-30572	睬	65536	-1	3	{v=0}
-30585	睹	109403	-1	2	{v=0, vg=4}
-30589	睽	65536	-1	3	{n=0}
-30590	睾	118677	-1	1	null
-30591	睿	112466	-1	1	null
-30592	瞀	65536	-1	3	{n=0}
-30596	瞄	117772	-1	2	{v=1}
-30597	瞅	103442	-1	2	{v=3}
-30604	瞌	108147	-1	1	null
-30605	瞍	65536	-1	3	{n=0}
-30606	瞎	116691	-1	2	{a=0, d=0, v=1, vn=0}
-30609	瞑	108267	-1	1	null
-30610	瞒	118819	-1	2	{v=3, vn=0}
-30623	瞟	65536	-1	3	{v=1}
-30624	瞠	108288	-1	1	null
-30626	瞢	65536	-1	3	{n=0}
-30629	瞥	103477	-1	2	{q=0, v=0, vn=0}
-30631	瞧	118764	-1	2	{v=12}
-30633	瞩	112379	-1	1	null
-30634	瞪	108233	-1	2	{v=4}
-30636	瞬	117741	-1	1	null
-30640	瞰	65536	-1	3	{n=0}
-30643	瞳	118630	-1	1	null
-30645	瞵	65536	-1	3	{vg=0}
-30651	瞻	118599	-1	2	{vg=1}
-30653	瞽	65536	-1	3	{n=0}
-30655	瞿	110959	-1	2	{nr=0}
-30669	矍	100715	-1	1	null
-30679	矗	107371	-1	1	null
-30683	矛	115966	-1	2	{n=0, nr=0}
-30684	矜	113467	-1	2	{ag=0, vg=1}
-30690	矢	117351	-1	2	{ng=0}
-30691	矣	65536	-1	3	{r=0, y=11}
-30693	知	142254	-1	2	{ag=0, ng=0, v=41, vn=1}
-30697	矩	115325	-1	2	{ng=0}
-30699	矫	118513	-1	2	{ag=0, nr=0}
-30700	矬	115560	-1	1	null
-30701	短	166044	-1	2	{a=49, ad=0, an=3, ng=0, v=3}
-30702	矮	119773	-1	2	{a=4, v=0}
-30707	石	170533	-1	2	{j=5, n=0, ng=9, nr=1, q=0}
-30710	矶	65536	-1	3	{n=0}
-30712	矸	108413	-1	1	null
-30717	矽	106167	-1	1	null
-30718	矾	116823	-1	1	null
-30719	矿	161925	-1	2	{n=53}
-30720	砀	115489	-1	2	{n=0}
-30721	码	118190	-1	2	{q=0, v=1}
-30722	砂	131772	-1	2	{n=7}
-30729	砉	65536	-1	3	{o=0}
-30732	砌	108435	-1	2	{v=4, vn=0}
-30733	砍	119011	-1	2	{v=24}
-30737	砑	65536	-1	3	{n=0}
-30738	砒	100498	-1	1	null
-30740	研	119257	-1	2	{j=0, ng=0, v=1, vg=0}
-30742	砖	120523	-1	2	{n=10}
-30743	砗	65536	-1	3	{x=0}
-30744	砘	65536	-1	3	{v=0}
-30746	砚	117714	-1	2	{ng=0}
-30748	砜	65536	-1	3	{n=0}
-30749	砝	108482	-1	1	null
-30751	砟	115830	-1	1	null
-30755	砣	115832	-1	2	{v=0}
-30757	砥	112605	-1	2	{ng=0}
-30758	砦	65536	-1	3	{n=0}
-30759	砧	115848	-1	2	{ng=0}
-30761	砩	65536	-1	3	{n=0}
-30764	砬	65536	-1	3	{n=0}
-30765	砭	99627	-1	2	{vg=0}
-30768	砰	65536	-1	3	{o=1}
-30772	破	163449	-1	2	{a=11, ad=0, v=22}
-30775	砷	98726	-1	2	{n=0}
-30776	砸	110521	-1	2	{v=15}
-30777	砹	65536	-1	3	{n=0}
-30778	砺	108685	-1	2	{ng=0, vg=0}
-30779	砻	65536	-1	3	{v=0}
-30780	砼	105213	-1	2	{n=0}
-30782	砾	115677	-1	1	null
-30784	础	65536	-1	3	{ng=0}
-30789	硅	118723	-1	2	{n=0}
-30791	硇	108683	-1	1	null
-30796	硌	65536	-1	3	{v=0}
-30798	硎	65536	-1	3	{n=0}
-30800	硐	65536	-1	3	{n=0}
-30802	硒	65536	-1	3	{n=0}
-30805	硕	118714	-1	2	{ag=0}
-30806	硖	65536	-1	3	{n=0}
-30807	硗	65536	-1	3	{x=0}
-30813	硝	118210	-1	2	{n=1, v=0}
-30826	硪	65536	-1	3	{n=0}
-30827	硫	118201	-1	2	{n=0}
-30828	硬	167224	-1	2	{a=30, an=1, d=10, ng=0}
-30829	硭	65536	-1	3	{x=0}
-30830	确	122682	-1	2	{ag=0, d=26}
-30839	硷	65536	-1	3	{n=0, v=0}
-30844	硼	108833	-1	2	{n=0}
-30855	碇	65536	-1	3	{n=0}
-30857	碉	116996	-1	1	null
-30860	碌	108701	-1	1	null
-30861	碍	119466	-1	2	{v=3, vn=0}
-30862	碎	117947	-1	2	{a=4, v=1}
-30865	碑	124040	-1	2	{n=7}
-30867	碓	65536	-1	3	{n=0}
-30871	碗	118119	-1	2	{n=8, q=18}
-30872	碘	119372	-1	2	{n=1}
-30874	碚	65536	-1	3	{n=0}
-30875	碛	65536	-1	3	{n=0}
-30876	碜	65536	-1	3	{x=0}
-30879	碟	116229	-1	2	{ng=3, q=0}
-30881	碡	65536	-1	3	{x=0}
-30883	碣	108899	-1	2	{ng=0}
-30885	碥	65536	-1	3	{n=0}
-30887	碧	122585	-1	2	{ag=1, ng=0}
-30896	碰	121203	-1	2	{v=9}
-30897	碱	120229	-1	2	{n=4, v=0}
-30898	碲	65536	-1	3	{n=0}
-30899	碳	119729	-1	2	{n=0, ng=0}
-30900	碴	118883	-1	1	null
-30905	碹	65536	-1	3	{n=0}
-30910	碾	118335	-1	2	{ng=1, v=2}
-30913	磁	159231	-1	2	{ng=0}
-30917	磅	108721	-1	2	{n=0, q=4, v=0}
-30921	磉	65536	-1	3	{n=0}
-30922	磊	105897	-1	2	{nr=5}
-30923	磋	117921	-1	1	null
-30928	磐	116323	-1	2	{ng=1}
-30932	磔	65536	-1	3	{n=0}
-30933	磕	116924	-1	2	{v=1}
-30937	磙	116396	-1	1	null
-30952	磨	157288	-1	2	{n=3, v=11}
-30956	磬	65536	-1	3	{ng=0}
-30962	磲	65536	-1	3	{x=0}
-30964	磴	118335	-1	2	{q=0}
-30967	磷	119119	-1	2	{n=2}
-30970	磺	106796	-1	1	null
-30977	礁	117259	-1	2	{n=0}
-30981	礅	65536	-1	3	{n=0}
-30995	礓	65536	-1	3	{x=0}
-31006	礞	65536	-1	3	{x=0}
-31012	礤	65536	-1	3	{x=0}
-31028	礴	65536	-1	3	{x=0}
-31034	示	119725	-1	2	{vg=6}
-31036	礼	140268	-1	2	{n=18, ng=4}
-31038	社	131524	-1	2	{j=0, n=19, ng=0}
-31040	祀	65536	-1	3	{n=0}
-31041	祁	119974	-1	2	{nr=0}
-31046	祆	65536	-1	3	{x=0}
-31048	祈	119618	-1	2	{ng=0, vg=2}
-31049	祉	65536	-1	3	{ng=0}
-31059	祓	65536	-1	3	{n=0}
-31062	祖	135561	-1	2	{ng=0, nr=0}
-31063	祗	65536	-1	3	{n=0}
-31066	祚	65536	-1	3	{n=0}
-31067	祛	113729	-1	2	{vg=2}
-31068	祜	65536	-1	3	{n=0}
-31069	祝	117595	-1	2	{ng=0, nr=0, v=55}
-31070	神	174085	-1	2	{a=9, j=0, n=17, ng=0, nr=0}
-31071	祟	65536	-1	3	{n=0}
-31072	祠	117627	-1	2	{ng=0}
-31074	祢	65536	-1	3	{n=0}
-31077	祥	118514	-1	2	{ag=2, ng=1, nr=0}
-31079	祧	65536	-1	3	{n=0}
-31080	票	130597	-1	2	{n=56, q=5}
-31085	祭	125682	-1	2	{v=1, vn=0}
-31087	祯	65536	-1	3	{n=0}
-31095	祷	118593	-1	2	{vg=0}
-31096	祸	129331	-1	2	{n=1}
-31098	祺	65536	-1	3	{n=0}
-31104	禀	118789	-1	1	null
-31105	禁	154765	-1	2	{ng=0, v=7, vg=0}
-31108	禄	120209	-1	2	{ng=1, nr=0}
-31109	禅	118368	-1	2	{ng=1}
-31114	禊	65536	-1	3	{n=0}
-31119	福	150161	-1	2	{j=0, n=18, nr=0}
-31130	禚	65536	-1	3	{nr=0}
-31143	禧	65536	-1	3	{n=0}
-31155	禳	65536	-1	3	{a=0}
-31161	禹	116240	-1	2	{nr=0}
-31162	禺	65536	-1	3	{n=0}
-31163	离	162448	-1	2	{p=9, v=82, vn=0}
-31165	禽	119481	-1	2	{ng=6}
-31166	禾	118330	-1	2	{ng=1}
-31168	秀	122341	-1	2	{ag=2}
-31169	私	166565	-1	2	{ad=0, ag=21, b=4, d=0, ng=3}
-31171	秃	119597	-1	2	{a=0}
-31174	秆	117006	-1	2	{ng=1}
-31177	秉	119986	-1	2	{vg=0}
-31179	秋	149513	-1	2	{ng=8, nr=0, tg=20}
-31181	种	151990	-1	2	{m=0, ng=9, nr=0, q=770, r=0, v=73, vn=0}
-31185	科	163298	-1	2	{j=0, n=16, ng=1, nr=0}
-31186	秒	105648	-1	2	{n=0, q=56}
-31189	秕	117195	-1	1	null
-31192	秘	126554	-1	2	{j=0, ng=1}
-31199	租	125451	-1	2	{j=0, ng=3, v=15, vg=0}
-31203	秣	101073	-1	2	{n=0}
-31204	秤	115605	-1	2	{n=12, q=0}
-31206	秦	130037	-1	2	{j=1, nr=3, tg=1}
-31207	秧	117323	-1	2	{n=0, ng=1, v=0, vg=0}
-31209	秩	116442	-1	2	{ng=0}
-31211	秫	109446	-1	1	null
-31213	秭	116259	-1	2	{n=0}
-31215	积	161014	-1	2	{n=0, v=13, vn=0}
-31216	称	139806	-1	2	{n=0, ng=1, v=124, vn=5}
-31224	秸	114346	-1	1	null
-31227	移	125516	-1	2	{v=29}
-31229	秽	118533	-1	1	null
-31232	稀	130408	-1	2	{a=0, ng=0}
-31234	稂	65536	-1	3	{n=0}
-31235	稃	65536	-1	3	{n=0}
-31238	稆	65536	-1	3	{n=0}
-31243	程	116686	-1	2	{n=1, ng=0, nr=0, q=6}
-31245	稍	121471	-1	2	{d=23}
-31246	税	145856	-1	2	{n=20, nr=0}
-31252	稔	111795	-1	2	{vg=1}
-31255	稗	117509	-1	2	{ng=0}
-31258	稚	117738	-1	1	null
-31262	稞	100272	-1	1	null
-31264	稠	120918	-1	2	{a=0}
-31267	稣	65536	-1	3	{n=0}
-31283	稳	129984	-1	2	{a=14, ad=3, an=2, v=10, vn=1}
-31287	稷	117279	-1	2	{n=0}
-31291	稻	128089	-1	2	{ng=7}
-31292	稼	109664	-1	1	null
-31293	稽	117522	-1	2	{nr=0}
-31295	稿	120786	-1	2	{ng=15, q=0}
-31302	穆	120174	-1	2	{j=0, nr=0}
-31313	穑	65536	-1	3	{x=0}
-31319	穗	117622	-1	2	{j=2, n=1, ng=0, q=0}
-31344	穰	65536	-1	3	{n=0}
-31348	穴	120747	-1	2	{ng=1, q=0}
-31350	究	119869	-1	2	{d=2, vg=7}
-31351	穷	161501	-1	2	{a=40, an=2, d=1, j=1, ng=0, vg=1}
-31352	穸	65536	-1	3	{x=0}
-31353	穹	116977	-1	1	null
-31354	空	172178	-1	2	{a=13, d=3, j=0, n=0, ng=4, nr=0, v=7}
-31359	穿	137476	-1	2	{v=82, vn=1}
-31360	窀	65536	-1	3	{x=0}
-31361	突	126876	-1	2	{d=5, j=0, ng=0, vg=0}
-31363	窃	120488	-1	2	{dg=0, vg=2}
-31364	窄	117784	-1	2	{a=9}
-31366	窆	65536	-1	3	{n=0}
-31368	窈	109979	-1	1	null
-31373	窍	102987	-1	2	{ng=0}
-31377	窑	121344	-1	2	{n=3, ng=3, q=0}
-31378	窒	116686	-1	1	null
-31381	窕	65536	-1	3	{x=0}
-31382	窖	107114	-1	2	{n=1, ng=0}
-31383	窗	141886	-1	2	{ng=5, q=0}
-31384	窘	121120	-1	2	{a=0, v=0}
-31388	窜	116221	-1	2	{v=1}
-31389	窝	123228	-1	2	{n=3, q=0, v=2}
-31391	窟	109967	-1	2	{ng=0}
-31392	窠	108123	-1	2	{n=0}
-31397	窥	121406	-1	2	{vg=0}
-31398	窦	65536	-1	3	{nr=0}
-31400	窨	65536	-1	3	{v=0}
-31404	窬	65536	-1	3	{n=0}
-31405	窭	65536	-1	3	{n=0}
-31411	窳	65536	-1	3	{n=0}
-31435	立	167561	-1	2	{d=0, j=0, nr=0, v=45, vg=0, vn=0}
-31446	竖	121505	-1	2	{n=0, v=3}
-31449	站	128529	-1	2	{n=46, q=7, v=108, vn=0}
-31454	竞	122755	-1	2	{ag=2, vg=6}
-31455	竟	121279	-1	2	{d=67, v=0, vg=0}
-31456	章	122324	-1	2	{n=10, nr=0, q=41}
-31459	竣	117503	-1	2	{vg=0}
-31461	童	143330	-1	2	{b=0, n=0, ng=0, nr=4}
-31462	竦	65536	-1	3	{n=0}
-31469	竭	120425	-1	2	{ag=1, an=0}
-31471	端	131225	-1	2	{ag=0, f=0, ng=2, q=2, v=25}
-31481	竹	164636	-1	2	{n=0, ng=11, nr=0}
-31482	竺	65536	-1	3	{nr=0}
-31485	竽	65536	-1	3	{n=0}
-31487	竿	118272	-1	2	{ng=1}
-31491	笃	121223	-1	2	{ag=0}
-31492	笄	65536	-1	3	{n=0}
-31494	笆	115655	-1	1	null
-31496	笈	65536	-1	3	{n=0}
-31498	笊	109927	-1	1	null
-31499	笋	118886	-1	2	{n=0, ng=0}
-31503	笏	65536	-1	3	{n=0}
-31505	笑	152955	-1	2	{v=49, vd=0, vn=4}
-31508	笔	162815	-1	2	{n=25, ng=0, q=44}
-31509	笕	65536	-1	3	{n=0}
-31513	笙	65536	-1	3	{n=0}
-31515	笛	118353	-1	2	{n=0, ng=0}
-31518	笞	65536	-1	3	{vg=0}
-31520	笠	121614	-1	1	null
-31524	笤	117643	-1	1	null
-31525	笥	65536	-1	3	{n=0}
-31526	符	120247	-1	2	{ng=0, nr=0, v=0, vg=1}
-31528	笨	120725	-1	2	{a=1, an=0}
-31530	笪	65536	-1	3	{nr=0}
-31531	笫	65536	-1	3	{n=0}
-31532	第	121906	-1	2	{m=1}
-31534	笮	65536	-1	3	{n=0}
-31539	笳	65536	-1	3	{n=0}
-31544	笸	110139	-1	1	null
-31546	笺	113924	-1	2	{ng=0, v=0}
-31548	笼	118972	-1	2	{n=0, ng=3, v=1}
-31550	笾	65536	-1	3	{n=0}
-31557	筅	65536	-1	3	{x=0}
-31559	筇	65536	-1	3	{n=0}
-31561	等	160888	-1	2	{a=3, b=0, c=2, j=0, n=2, ng=0, nr=0, q=3, u=2709, v=55, vn=1}
-31563	筋	116022	-1	2	{n=0}
-31564	筌	65536	-1	3	{n=0}
-31567	筏	119420	-1	2	{ng=0}
-31568	筐	65536	-1	3	{n=0, q=1}
-31569	筑	119614	-1	2	{j=0, v=12}
-31570	筒	118567	-1	2	{ng=0, q=0}
-31572	答	123874	-1	2	{ng=0, nr=0, v=16, vn=0}
-31574	策	120951	-1	2	{ng=4, vg=0}
-31576	筘	65536	-1	3	{n=0}
-31578	筚	105640	-1	2	{n=0}
-31579	筛	118607	-1	2	{v=0}
-31581	筝	65536	-1	3	{n=0, x=0}
-31584	筠	65536	-1	3	{n=0}
-31586	筢	118609	-1	1	null
-31598	筮	65536	-1	3	{n=0}
-31601	筱	65536	-1	3	{n=0}
-31602	筲	65536	-1	3	{n=0}
-31605	筵	118513	-1	1	null
-31607	筷	118615	-1	2	{ng=1}
-31609	筹	124082	-1	2	{v=7}
-31611	筻	65536	-1	3	{n=0}
-31614	签	125300	-1	2	{n=1, v=8, vn=0}
-31616	简	159497	-1	2	{ag=1, n=0, ng=0, nr=1}
-31621	箅	118722	-1	1	null
-31629	箍	115359	-1	2	{ng=0, v=0}
-31632	箐	65536	-1	3	{n=0}
-31636	箔	115638	-1	1	null
-31637	箕	65536	-1	3	{n=0}
-31639	算	140358	-1	2	{d=3, v=65}
-31644	箜	110434	-1	1	null
-31649	管	168114	-1	2	{c=0, ng=5, nr=0, p=0, q=0, v=87, vg=0}
-31650	箢	110543	-1	2	{x=0}
-31654	箦	65536	-1	3	{n=0}
-31655	箧	65536	-1	3	{n=0}
-31656	箨	65536	-1	3	{n=0}
-31657	箩	110613	-1	2	{ng=0}
-31658	箪	103048	-1	1	null
-31659	箫	65536	-1	3	{ng=2}
-31660	箬	110714	-1	1	null
-31661	箭	122823	-1	2	{n=4}
-31665	箱	122169	-1	2	{ng=2, q=12}
-31668	箴	106901	-1	1	null
-31681	篁	65536	-1	3	{n=0}
-31686	篆	122182	-1	2	{j=0, ng=0}
-31687	篇	122109	-1	2	{ng=9, q=105}
-31692	篌	65536	-1	3	{x=0}
-31697	篑	65536	-1	3	{n=0}
-31699	篓	118859	-1	2	{ng=1, q=1}
-31705	篙	119401	-1	2	{ng=2}
-31706	篚	65536	-1	3	{n=0}
-31709	篝	113460	-1	1	null
-31713	篡	122030	-1	1	null
-31717	篥	65536	-1	3	{x=0}
-31718	篦	118864	-1	1	null
-31722	篪	65536	-1	3	{n=0}
-31726	篮	122313	-1	2	{j=1, ng=0, q=0}
-31729	篱	119568	-1	1	null
-31735	篷	105541	-1	2	{n=0, q=0}
-31740	篼	65536	-1	3	{n=0}
-31742	篾	121011	-1	1	null
-31751	簇	116951	-1	2	{ng=1, q=0}
-31755	簋	65536	-1	3	{ng=0}
-31756	簌	110498	-1	1	null
-31759	簏	65536	-1	3	{n=0}
-31766	簖	65536	-1	3	{n=0}
-31775	簟	65536	-1	3	{n=0}
-31782	簦	65536	-1	3	{n=0}
-31783	簧	113002	-1	2	{n=0}
-31786	簪	118887	-1	1	null
-31800	簸	110628	-1	1	null
-31807	簿	121428	-1	2	{ng=0}
-31808	籀	65536	-1	3	{n=0}
-31809	籁	65536	-1	3	{ng=1}
-31821	籍	106129	-1	2	{ng=8, nr=0}
-31859	米	157533	-1	2	{n=29, nr=0, q=347}
-31860	籴	65536	-1	3	{v=0}
-31867	类	131533	-1	2	{n=24, ng=1, p=0, q=79, vg=0}
-31868	籼	111055	-1	1	null
-31869	籽	121554	-1	2	{ng=0}
-31881	粉	160480	-1	2	{a=0, ag=0, b=2, n=3, v=0}
-31889	粑	65536	-1	3	{n=0}
-31890	粒	119022	-1	2	{ng=3, q=11}
-31893	粕	65536	-1	3	{n=0}
-31895	粗	165769	-1	2	{a=8, d=2, v=0}
-31896	粘	123030	-1	2	{a=0, v=4}
-31900	粜	65536	-1	3	{v=0}
-31901	粝	65536	-1	3	{n=0}
-31902	粞	65536	-1	3	{n=0}
-31903	粟	119102	-1	2	{ng=0, nr=1}
-31906	粢	65536	-1	3	{n=0}
-31908	粤	123002	-1	2	{j=4}
-31909	粥	118922	-1	2	{n=1}
-31914	粪	122496	-1	2	{n=14}
-31918	粮	140903	-1	2	{n=31, ng=3}
-31921	粱	65536	-1	3	{nr=0}
-31922	粲	113523	-1	1	null
-31923	粳	111221	-1	1	null
-31929	粹	65536	-1	3	{ng=0}
-31932	粼	110576	-1	1	null
-31933	粽	119138	-1	1	null
-31934	精	173259	-1	2	{a=24, ad=2, an=3, ng=1, nr=0, vg=1}
-31937	糁	65536	-1	3	{n=0}
-31941	糅	121143	-1	2	{vg=1}
-31943	糇	65536	-1	3	{n=0}
-31944	糈	65536	-1	3	{n=0}
-31946	糊	121300	-1	2	{a=0, v=0}
-31948	糌	110787	-1	1	null
-31949	糍	110793	-1	1	null
-31957	糕	118509	-1	2	{ng=2}
-31958	糖	149081	-1	2	{n=6, ng=0}
-31959	糗	65536	-1	3	{n=0}
-31961	糙	110847	-1	2	{a=1}
-31964	糜	113842	-1	2	{nr=0}
-31967	糟	118329	-1	2	{a=2, v=0}
-31968	糠	114881	-1	2	{n=0, v=0}
-31976	糨	110769	-1	2	{a=0}
-31983	糯	111436	-1	2	{ag=0, ng=0}
-31995	系	122732	-1	2	{n=11, v=34}
-32010	紊	122645	-1	2	{ag=0}
-32032	素	152403	-1	2	{a=0, ad=0, ag=0, dg=4, n=0, ng=3}
-32034	索	124308	-1	2	{ag=0, j=0, ng=0, nr=0, vg=2}
-32039	紧	136624	-1	2	{a=26, d=25, v=1}
-32043	紫	164895	-1	2	{a=4}
-32047	累	131152	-1	2	{a=12, ad=0, an=1, v=7, vg=0}
-32110	絮	121567	-1	2	{ng=0, v=1}
-32119	絷	65536	-1	3	{n=0}
-32166	綦	65536	-1	3	{nr=0}
-32174	綮	65536	-1	3	{x=0}
-32315	縻	65536	-1	3	{n=0}
-32321	繁	139189	-1	2	{ag=0, n=0, vg=0}
-32327	繇	65536	-1	3	{p=0}
-32386	纂	65536	-1	3	{n=0}
-32411	纛	65536	-1	3	{n=0}
-32416	纠	123625	-1	2	{vg=3}
-32417	纡	65536	-1	3	{n=0}
-32418	红	178590	-1	2	{a=61, an=0, j=2, ng=1, nr=0, v=6}
-32419	纣	116497	-1	1	null
-32420	纤	124271	-1	2	{ng=0}
-32421	纥	65536	-1	3	{x=0}
-32422	约	128814	-1	2	{d=199, j=5, n=0, ng=2, q=0, v=5, vn=1}
-32423	级	122376	-1	2	{b=0, n=14, q=99}
-32424	纨	110899	-1	1	null
-32425	纩	65536	-1	3	{n=0}
-32426	纪	133403	-1	2	{ng=0, nr=0}
-32427	纫	65536	-1	3	{n=0}
-32428	纬	123339	-1	2	{ng=2}
-32429	纭	65536	-1	3	{x=0}
-32431	纯	154295	-1	2	{a=15, ad=2}
-32432	纰	114986	-1	2	{v=0}
-32433	纱	122502	-1	2	{n=3}
-32434	纲	123448	-1	2	{n=3}
-32435	纳	133183	-1	2	{j=0, v=0}
-32437	纵	146237	-1	2	{a=0, ag=0, c=2, ng=0, nr=0, v=1, vd=1}
-32438	纶	65536	-1	3	{x=0}
-32439	纷	123581	-1	2	{ag=1}
-32440	纸	169162	-1	2	{n=17, q=2}
-32441	纹	123529	-1	2	{ng=2}
-32442	纺	123635	-1	2	{ng=0, v=1}
-32445	纽	123583	-1	2	{j=1}
-32446	纾	65536	-1	3	{n=0}
-32447	线	154513	-1	2	{n=66, q=30}
-32448	绀	65536	-1	3	{n=0}
-32449	绁	65536	-1	3	{n=0}
-32450	绂	65536	-1	3	{n=0}
-32451	练	134392	-1	2	{nr=0, v=22, vn=0}
-32452	组	139593	-1	2	{n=15, q=26, v=2, vg=0}
-32453	绅	120852	-1	1	null
-32454	细	171596	-1	2	{a=18, ad=4, d=0}
-32455	织	122071	-1	2	{ng=0, v=7}
-32456	终	137654	-1	2	{d=20, f=0, ng=0, nr=0, vg=6}
-32457	绉	119677	-1	1	null
-32458	绊	123254	-1	2	{ng=0, v=0}
-32459	绋	65536	-1	3	{n=0}
-32460	绌	65536	-1	3	{n=0}
-32461	绍	123756	-1	2	{nr=0}
-32462	绎	65536	-1	3	{n=0}
-32463	经	170492	-1	2	{j=0, ng=6, nr=0, p=182, v=9, vg=3}
-32464	绐	65536	-1	3	{n=0}
-32465	绑	122616	-1	2	{v=3, vn=0}
-32466	绒	122778	-1	2	{n=0, ng=0}
-32467	结	172400	-1	2	{n=0, v=42}
-32468	绔	65536	-1	3	{x=0}
-32469	绕	122596	-1	2	{v=17}
-32471	绗	65536	-1	3	{v=0}
-32472	绘	122991	-1	2	{v=5, vn=0}
-32473	给	124046	-1	2	{p=554, u=2, v=341, vn=0}
-32474	绚	123985	-1	1	null
-32475	绛	122584	-1	2	{b=0}
-32476	络	122524	-1	2	{ng=0, v=0}
-32477	绝	171610	-1	2	{a=0, ag=0, d=18, ng=0, vg=3}
-32478	绞	136619	-1	2	{q=0, v=0}
-32479	统	141014	-1	2	{ad=0, v=7, vd=0, vn=0}
-32480	绠	65536	-1	3	{n=0}
-32481	绡	65536	-1	3	{n=0}
-32482	绢	124177	-1	2	{n=0}
-32483	绣	124576	-1	2	{ng=0, v=3}
-32485	绥	126651	-1	2	{j=0}
-32486	绦	120847	-1	1	null
-32487	继	129208	-1	2	{dg=8, v=0, vg=22}
-32488	绨	65536	-1	3	{n=0}
-32489	绩	118304	-1	2	{ng=0}
-32490	绪	118223	-1	2	{ng=0}
-32491	绫	117317	-1	1	null
-32493	续	129197	-1	2	{nr=0, v=5}
-32494	绮	124216	-1	1	null
-32495	绯	111828	-1	1	null
-32496	绰	122772	-1	2	{v=0}
-32497	绱	65536	-1	3	{v=0}
-32498	绲	107476	-1	2	{v=0}
-32499	绳	124295	-1	2	{ng=2, nr=0, vg=0}
-32500	维	162452	-1	2	{j=1, ng=0, nr=0, q=1, vg=0}
-32501	绵	128447	-1	2	{a=1, vg=0}
-32502	绶	120249	-1	2	{ng=0}
-32503	绷	120983	-1	2	{v=1}
-32504	绸	124394	-1	2	{ng=0}
-32506	绺	65536	-1	3	{q=0}
-32507	绻	65536	-1	3	{x=0}
-32508	综	124498	-1	2	{ng=0, vg=0}
-32509	绽	123386	-1	2	{vg=1}
-32510	绾	65536	-1	3	{v=1}
-32511	绿	171170	-1	2	{a=38, an=2, n=0, ng=1, v=0}
-32512	缀	123479	-1	2	{v=5}
-32513	缁	65536	-1	3	{n=0}
-32514	缂	65536	-1	3	{x=0}
-32515	缃	65536	-1	3	{n=0}
-32516	缄	122991	-1	2	{vg=0}
-32517	缅	119904	-1	2	{j=1, v=0}
-32518	缆	112443	-1	2	{n=2, ng=0, v=0}
-32519	缇	65536	-1	3	{n=0}
-32520	缈	65536	-1	3	{x=0}
-32521	缉	119328	-1	1	null
-32523	缋	65536	-1	3	{n=0}
-32524	缌	65536	-1	3	{n=0}
-32526	缎	121105	-1	2	{ng=0}
-32527	缏	65536	-1	3	{n=0}
-32529	缑	65536	-1	3	{n=0}
-32530	缒	65536	-1	3	{v=0}
-32531	缓	134109	-1	2	{a=4, ad=2, an=1, j=0, v=9}
-32532	缔	124402	-1	1	null
-32533	缕	118029	-1	2	{q=2}
-32534	编	172037	-1	2	{j=2, ng=0, q=0, v=15}
-32535	缗	65536	-1	3	{q=0}
-32536	缘	124447	-1	2	{n=2, ng=0, p=0, vg=1}
-32537	缙	65536	-1	3	{n=0}
-32538	缚	65536	-1	3	{vg=0}
-32539	缛	65536	-1	3	{n=0}
-32540	缜	121073	-1	1	null
-32541	缝	123723	-1	2	{n=4, ng=0, v=7}
-32543	缟	65536	-1	3	{n=0}
-32544	缠	124352	-1	2	{v=3}
-32545	缡	65536	-1	3	{n=0}
-32546	缢	65536	-1	3	{n=0}
-32547	缣	65536	-1	3	{n=0}
-32548	缤	112141	-1	1	null
-32549	缥	116368	-1	1	null
-32551	缧	65536	-1	3	{x=0}
-32552	缨	121216	-1	2	{ng=0}
-32553	缩	138980	-1	2	{v=1}
-32554	缪	65536	-1	3	{nr=0, q=0, x=0}
-32555	缫	124640	-1	1	null
-32556	缬	65536	-1	3	{n=0}
-32557	缭	124564	-1	2	{v=0}
-32558	缮	123754	-1	1	null
-32559	缯	65536	-1	3	{n=0}
-32560	缰	112150	-1	2	{ng=0}
-32561	缱	112143	-1	2	{x=0}
-32562	缲	65536	-1	3	{v=0}
-32563	缳	65536	-1	3	{n=0}
-32564	缴	124639	-1	2	{v=11}
-32565	缵	65536	-1	3	{n=0}
-32566	缶	119170	-1	1	null
-32568	缸	124551	-1	2	{n=1, q=0}
-32570	缺	143956	-1	2	{n=1, v=33}
-32578	罂	112827	-1	1	null
-32580	罄	113254	-1	2	{vg=0}
-32581	罅	116312	-1	1	null
-32592	罐	125202	-1	2	{ng=0, q=3}
-32593	网	164629	-1	2	{j=2, n=31, v=1}
-32596	罔	65536	-1	3	{n=0}
-32597	罕	109506	-1	2	{ad=0, ag=0}
-32599	罗	170307	-1	2	{j=25, nr=3, q=0, v=0}
-32600	罘	65536	-1	3	{n=0}
-32602	罚	124935	-1	2	{v=2, vn=0}
-32607	罟	65536	-1	3	{n=0}
-32609	罡	65536	-1	3	{x=0}
-32610	罢	127083	-1	2	{v=13, y=0}
-32616	罨	65536	-1	3	{n=0}
-32617	罩	122863	-1	2	{v=2}
-32618	罪	128568	-1	2	{n=14, vg=0}
-32622	置	125815	-1	2	{v=11}
-32625	罱	65536	-1	3	{n=0, v=0}
-32626	署	123455	-1	2	{ng=4, vg=1}
-32628	罴	65536	-1	3	{n=0}
-32633	罹	106378	-1	1	null
-32638	罾	65536	-1	3	{n=0}
-32641	羁	119699	-1	2	{ag=1}
-32650	羊	167482	-1	2	{n=30, nr=0}
-32652	羌	118949	-1	2	{j=0, nr=0}
-32654	美	170944	-1	2	{a=38, an=6, j=368, ng=15, vg=0}
-32660	羔	121729	-1	2	{ng=0}
-32666	羚	115842	-1	1	null
-32669	羝	65536	-1	3	{n=0}
-32670	羞	132147	-1	2	{a=1, ng=0, v=1}
-32671	羟	122607	-1	1	null
-32673	羡	120215	-1	2	{nr=0, vg=0}
-32676	群	160406	-1	2	{j=0, n=0, ng=6, q=36}
-32679	羧	65536	-1	3	{x=0}
-32687	羯	112555	-1	1	null
-32688	羰	65536	-1	3	{x=0}
-32690	羲	65536	-1	3	{n=0}
-32696	羸	120837	-1	1	null
-32697	羹	123935	-1	2	{ng=0}
-32700	羼	65536	-1	3	{n=0}
-32701	羽	127120	-1	2	{j=0, ng=0, nr=0, q=1}
-32703	羿	65536	-1	3	{nr=0}
-32705	翁	122056	-1	2	{ng=2, nr=0}
-32709	翅	122017	-1	2	{ng=0}
-32714	翊	65536	-1	3	{n=0}
-32716	翌	121050	-1	1	null
-32718	翎	121861	-1	2	{ng=0}
-32724	翔	121812	-1	2	{nr=1, vg=0}
-32725	翕	120882	-1	1	null
-32728	翘	121655	-1	2	{v=4}
-32735	翟	65536	-1	3	{nr=1}
-32736	翠	118828	-1	2	{ag=1, ng=1}
-32737	翡	112542	-1	1	null
-32741	翥	65536	-1	3	{n=0}
-32742	翦	65536	-1	3	{nr=0}
-32745	翩	116297	-1	2	{ag=0}
-32750	翮	65536	-1	3	{n=0}
-32752	翰	122602	-1	2	{ng=0}
-32753	翱	112585	-1	1	null
-32755	翳	65536	-1	3	{n=0}
-32763	翻	170488	-1	2	{v=49, vn=0}
-32764	翼	125214	-1	2	{ng=3}
-32768	耀	124137	-1	2	{nr=0, v=0, vg=5}
-32769	老	185441	-1	2	{a=296, an=1, d=4, h=0, j=6, k=0, n=0, ng=3, nr=0}
-32771	考	162938	-1	2	{ng=0, v=9, vn=0}
-32772	耄	112997	-1	1	null
-32773	者	65536	-1	3	{k=33, n=0, ng=0, r=11, u=4, y=1}
-32774	耆	65536	-1	3	{ng=0}
-32779	耋	65536	-1	3	{n=0}
-32780	而	126572	-1	2	{c=1516, u=0}
-32781	耍	136920	-1	2	{v=3}
-32784	耐	136773	-1	2	{v=4}
-32786	耒	107409	-1	1	null
-32788	耔	65536	-1	3	{n=0}
-32789	耕	125558	-1	2	{v=3}
-32790	耖	65536	-1	3	{n=0, v=0}
-32791	耗	128017	-1	2	{ng=1, v=1}
-32792	耘	107717	-1	2	{vg=0}
-32793	耙	122503	-1	2	{n=1, v=0}
-32796	耜	65536	-1	3	{n=0}
-32800	耠	65536	-1	3	{v=0}
-32802	耢	65536	-1	3	{n=0, v=0}
-32805	耥	65536	-1	3	{x=0}
-32806	耦	124379	-1	1	null
-32807	耧	65536	-1	3	{n=0}
-32808	耨	65536	-1	3	{n=0}
-32809	耩	65536	-1	3	{n=0}
-32810	耪	123553	-1	2	{v=0}
-32817	耱	65536	-1	3	{n=0}
-32819	耳	167927	-1	2	{n=11, ng=0, y=0}
-32821	耵	65536	-1	3	{x=0}
-32822	耶	124330	-1	2	{j=0, y=0}
-32823	耷	120679	-1	1	null
-32824	耸	125818	-1	2	{vg=2}
-32827	耻	114487	-1	2	{ag=0, ng=0, v=1}
-32829	耽	125877	-1	2	{nr=0}
-32831	耿	121783	-1	2	{nr=0}
-32834	聂	121803	-1	2	{nr=0}
-32835	聃	65536	-1	3	{n=0}
-32838	聆	124452	-1	2	{vg=1}
-32842	聊	126154	-1	2	{d=0, v=8}
-32843	聋	124320	-1	2	{v=2}
-32844	职	145144	-1	2	{j=0, ng=23}
-32845	聍	65536	-1	3	{x=0}
-32850	聒	123943	-1	1	null
-32852	联	175983	-1	2	{ng=4, q=0, vg=19}
-32856	聘	126267	-1	2	{v=5, vn=0}
-32858	聚	167033	-1	2	{v=14, vn=0}
-32873	聩	65536	-1	3	{n=0}
-32874	聪	121377	-1	2	{ag=0}
-32881	聱	65536	-1	3	{x=0}
-32899	肃	125024	-1	2	{nr=0, vg=0}
-32900	肄	126313	-1	1	null
-32902	肆	121473	-1	2	{m=0, ng=1}
-32903	肇	126431	-1	2	{nr=0}
-32905	肉	169159	-1	2	{a=1, n=42}
-32907	肋	122310	-1	2	{n=0}
-32908	肌	126063	-1	2	{ng=0}
-32915	肓	65536	-1	3	{x=0}
-32918	肖	125687	-1	2	{nr=0, vg=0}
-32920	肘	125597	-1	2	{ng=0}
-32922	肚	123014	-1	2	{ng=3}
-32923	肛	116240	-1	1	null
-32924	肜	65536	-1	3	{n=0}
-32925	肝	129194	-1	2	{n=0}
-32927	肟	65536	-1	3	{n=0}
-32928	肠	134463	-1	2	{n=2}
-32929	股	137191	-1	2	{j=0, n=21, q=47, v=4}
-32930	肢	126156	-1	2	{ng=0}
-32932	肤	118753	-1	2	{ng=1}
-32933	肥	164307	-1	2	{a=3, n=2, v=1}
-32937	肩	127028	-1	2	{n=7, q=0, v=0, vg=0}
-32938	肪	65536	-1	3	{x=0}
-32939	肫	65536	-1	3	{n=0}
-32941	肭	65536	-1	3	{x=0}
-32942	肮	113471	-1	1	null
-32943	肯	126415	-1	2	{j=0, v=24}
-32945	肱	106934	-1	1	null
-32946	育	126973	-1	2	{v=0, vg=15}
-32948	肴	65536	-1	3	{n=0}
-32951	肷	65536	-1	3	{n=0}
-32954	肺	132068	-1	2	{n=2}
-32956	肼	65536	-1	3	{n=0}
-32957	肽	65536	-1	3	{ng=0}
-32958	肾	126775	-1	2	{n=7}
-32959	肿	124226	-1	2	{v=4}
-32960	胀	105857	-1	2	{a=0}
-32961	胁	126422	-1	2	{ng=0, vg=0}
-32962	胂	65536	-1	3	{n=0}
-32963	胃	135432	-1	2	{n=3}
-32964	胄	65536	-1	3	{n=0}
-32966	胆	149557	-1	2	{n=3}
-32972	背	165573	-1	2	{a=0, n=6, ng=0, v=37}
-32973	胍	65536	-1	3	{n=0}
-32974	胎	133007	-1	2	{ng=0, q=3}
-32982	胖	127532	-1	2	{a=6}
-32983	胗	65536	-1	3	{n=0}
-32985	胙	65536	-1	3	{n=0}
-32986	胚	126671	-1	1	null
-32987	胛	107155	-1	1	null
-32988	胜	143938	-1	2	{a=0, n=0, ng=1, v=73, vg=1, vn=1}
-32989	胝	65536	-1	3	{x=0}
-32990	胞	126035	-1	1	null
-32993	胡	165064	-1	2	{d=0, ng=0, nr=4, rg=1}
-32996	胤	65536	-1	3	{n=0}
-32997	胥	118825	-1	2	{nr=0}
-32999	胧	65536	-1	3	{x=0}
-33000	胨	65536	-1	3	{n=0}
-33001	胩	65536	-1	3	{n=0}
-33002	胪	123130	-1	2	{n=0}
-33003	胫	107249	-1	2	{ng=0}
-33004	胬	65536	-1	3	{x=0}
-33005	胭	113817	-1	1	null
-33007	胯	107262	-1	2	{ng=0}
-33008	胰	123611	-1	2	{ng=0}
-33009	胱	65536	-1	3	{x=0}
-33010	胲	65536	-1	3	{n=0}
-33011	胳	113956	-1	1	null
-33012	胴	126578	-1	1	null
-33014	胶	148153	-1	2	{j=0, n=2, v=0}
-33016	胸	144536	-1	2	{n=0, ng=11}
-33018	胺	65536	-1	3	{n=0}
-33020	胼	121804	-1	1	null
-33021	能	144149	-1	2	{d=0, ng=6, nr=0, v=995}
-33026	脂	119226	-1	1	null
-33030	脆	127054	-1	2	{a=1}
-33033	脉	126438	-1	2	{ng=2, q=0}
-33034	脊	120965	-1	2	{ng=0}
-33037	脍	118250	-1	2	{ng=0, vg=0}
-33038	脎	65536	-1	3	{n=0}
-33039	脏	127710	-1	2	{a=14, an=0, ng=0}
-33040	脐	123002	-1	2	{ng=0}
-33041	脑	165840	-1	2	{n=17}
-33042	脒	65536	-1	3	{n=0}
-33043	脓	125913	-1	2	{n=0}
-33044	脔	65536	-1	3	{n=0}
-33046	脖	123785	-1	2	{ng=0}
-33048	脘	65536	-1	3	{n=0}
-33050	脚	171286	-1	2	{n=34, q=0}
-33054	脞	65536	-1	3	{n=0}
-33068	脬	65536	-1	3	{x=0}
-33071	脯	65536	-1	3	{n=0}
-33073	脱	172069	-1	2	{d=0, v=29}
-33074	脲	65536	-1	3	{n=0}
-33078	脶	65536	-1	3	{n=0}
-33080	脸	141374	-1	2	{n=23, q=6}
-33086	脾	122673	-1	2	{n=0}
-33094	腆	65536	-1	3	{v=0}
-33096	腈	114803	-1	1	null
-33098	腊	126491	-1	2	{ng=0}
-33099	腋	127275	-1	2	{ng=0}
-33100	腌	126213	-1	2	{v=0, x=0}
-33104	腐	130305	-1	2	{a=2, ng=0, vg=3}
-33105	腑	65536	-1	3	{n=0}
-33107	腓	107677	-1	1	null
-33108	腔	114357	-1	2	{ng=1, q=3}
-33109	腕	126140	-1	2	{ng=4}
-33113	腙	65536	-1	3	{n=0}
-33120	腠	65536	-1	3	{ng=0, x=0}
-33125	腥	125740	-1	2	{a=0}
-33127	腧	65536	-1	3	{n=0}
-33129	腩	65536	-1	3	{x=0}
-33133	腭	112293	-1	1	null
-33134	腮	124635	-1	2	{n=2}
-33136	腰	144400	-1	2	{n=11}
-33137	腱	123969	-1	1	null
-33140	腴	65536	-1	3	{ag=0}
-33145	腹	136471	-1	2	{ng=4}
-33146	腺	114920	-1	1	null
-33147	腻	125764	-1	2	{v=2}
-33148	腼	114282	-1	1	null
-33149	腽	114440	-1	1	null
-33150	腾	127464	-1	2	{nr=0, o=0, v=9}
-33151	腿	123347	-1	2	{n=21}
-33152	膀	124622	-1	2	{ng=0, v=0}
-33154	膂	126274	-1	1	null
-33160	膈	114251	-1	1	null
-33162	膊	65536	-1	3	{n=0}
-33167	膏	126379	-1	2	{ng=0, v=0}
-33169	膑	65536	-1	3	{n=0}
-33176	膘	122668	-1	2	{ng=1}
-33179	膛	115004	-1	2	{ng=0}
-33180	膜	65536	-1	3	{n=0}
-33181	膝	127511	-1	2	{ng=1}
-33187	膣	65536	-1	3	{n=0}
-33190	膦	65536	-1	3	{n=0}
-33192	膨	127148	-1	1	null
-33194	膪	65536	-1	3	{x=0}
-33203	膳	111318	-1	2	{ng=0}
-33210	膺	65536	-1	3	{vg=0}
-33211	膻	125853	-1	2	{a=0}
-33216	臀	125241	-1	2	{ng=1}
-33217	臁	65536	-1	3	{n=0}
-33218	臂	126412	-1	2	{n=1, ng=5}
-33219	臃	114520	-1	2	{ag=0}
-33222	臆	122701	-1	2	{ng=0}
-33226	臊	119817	-1	2	{a=0}
-33228	臌	65536	-1	3	{n=0}
-33251	臣	126821	-1	2	{n=0, ng=0}
-33255	臧	125949	-1	2	{nr=0}
-33258	自	186160	-1	2	{a=0, d=30, p=217, r=33}
-33260	臬	65536	-1	3	{nr=0}
-33261	臭	130137	-1	2	{a=10, d=0, ng=0}
-33267	至	144835	-1	2	{d=3, f=2, ng=0, p=399, t=0, v=157, vn=0}
-33268	致	139207	-1	2	{ag=0, ng=0, p=2, v=52, vg=2}
-33275	臻	65536	-1	3	{nr=0, vg=2}
-33276	臼	107236	-1	2	{ng=1}
-33278	臾	65536	-1	3	{x=0}
-33280	舀	124692	-1	2	{v=2}
-33282	舂	65536	-1	3	{v=0}
-33284	舄	65536	-1	3	{n=0}
-33285	舅	125211	-1	2	{n=0, ng=0}
-33286	舆	123298	-1	1	null
-33292	舌	136980	-1	2	{n=1, ng=0}
-33293	舍	155604	-1	2	{ng=1, q=0, v=10, vn=1}
-33296	舐	65536	-1	3	{vg=0}
-33298	舒	127991	-1	2	{ag=0, nr=0, vg=0}
-33300	舔	65536	-1	3	{v=0}
-33307	舛	112351	-1	1	null
-33308	舜	65536	-1	3	{n=0}
-33310	舞	161525	-1	2	{n=3, v=29, vn=0}
-33311	舟	124548	-1	2	{n=2}
-33313	舡	65536	-1	3	{n=0}
-33314	舢	121720	-1	2	{n=0}
-33315	舣	65536	-1	3	{n=0}
-33320	舨	65536	-1	3	{x=0}
-33322	航	142539	-1	2	{ng=2, nr=0, vg=0}
-33323	舫	65536	-1	3	{n=0}
-33324	般	120200	-1	2	{u=53}
-33325	舭	65536	-1	3	{x=0}
-33328	舰	127630	-1	2	{ng=2}
-33329	舱	127956	-1	2	{n=4}
-33331	舳	65536	-1	3	{x=0}
-33332	舴	65536	-1	3	{x=0}
-33333	舵	123073	-1	2	{n=0}
-33334	舶	121772	-1	2	{ng=0}
-33335	舷	121449	-1	2	{ng=0}
-33336	舸	65536	-1	3	{n=0}
-33337	船	176665	-1	2	{n=63, q=0}
-33339	舻	65536	-1	3	{n=0}
-33342	舾	113252	-1	1	null
-33348	艄	127422	-1	1	null
-33351	艇	65536	-1	3	{k=0, n=1, ng=2}
-33353	艉	65536	-1	3	{n=0}
-33355	艋	65536	-1	3	{x=0}
-33359	艏	65536	-1	3	{n=0}
-33368	艘	65536	-1	3	{q=38}
-33370	艚	65536	-1	3	{n=0}
-33375	艟	65536	-1	3	{x=0}
-33384	艨	65536	-1	3	{x=0}
-33390	艮	65536	-1	3	{n=0}
-33391	良	157550	-1	2	{a=0, ag=0, d=0, ng=0, nr=1}
-33392	艰	127222	-1	2	{ag=0}
-33394	色	150840	-1	2	{n=0, ng=13, q=0}
-33395	艳	129136	-1	2	{a=8, ad=0, ng=0, nr=0}
-33396	艴	65536	-1	3	{n=0}
-33402	艺	142067	-1	2	{ng=4}
-33405	艽	65536	-1	3	{nr=0, x=0}
-33406	艾	127429	-1	2	{nr=0}
-33407	艿	65536	-1	3	{x=0}
-33410	节	174022	-1	2	{j=0, n=13, nr=0, q=8, v=0, vg=3}
-33416	芈	65536	-1	3	{o=0}
-33418	芊	65536	-1	3	{x=0}
-33419	芋	125654	-1	1	null
-33421	芍	114829	-1	1	null
-33422	芎	65536	-1	3	{x=0}
-33423	芏	65536	-1	3	{x=0}
-33425	芑	65536	-1	3	{n=0}
-33426	芒	127507	-1	2	{ng=0}
-33431	芗	127415	-1	1	null
-33432	芘	65536	-1	3	{x=0}
-33433	芙	114493	-1	1	null
-33436	芜	122075	-1	1	null
-33437	芝	127675	-1	1	null
-33439	芟	110021	-1	1	null
-33441	芡	116643	-1	1	null
-33444	芤	115496	-1	1	null
-33445	芥	125238	-1	2	{q=0}
-33446	芦	130050	-1	2	{nr=0}
-33448	芨	115110	-1	1	null
-33449	芩	65536	-1	3	{nr=0}
-33450	芪	65536	-1	3	{x=0}
-33451	芫	115123	-1	1	null
-33452	芬	127729	-1	2	{j=1}
-33453	芭	114474	-1	1	null
-33454	芮	126126	-1	2	{nr=0}
-33455	芯	125233	-1	2	{ng=4, q=1}
-33456	芰	65536	-1	3	{n=0}
-33457	花	186762	-1	2	{a=2, n=56, nr=0, v=71}
-33459	芳	127336	-1	2	{ag=1, ng=0, nr=0}
-33460	芴	65536	-1	3	{n=0}
-33463	芷	121092	-1	2	{x=0}
-33464	芸	115372	-1	1	null
-33465	芹	115090	-1	2	{ng=0, nr=0}
-33469	芽	128605	-1	2	{n=1}
-33470	芾	65536	-1	3	{x=0}
-33473	苁	65536	-1	3	{x=0}
-33476	苄	65536	-1	3	{x=0}
-33479	苇	128907	-1	2	{ng=1}
-33480	苈	65536	-1	3	{x=0}
-33482	苊	65536	-1	3	{n=0}
-33483	苋	115098	-1	1	null
-33484	苌	65536	-1	3	{nr=0, x=0}
-33485	苍	143559	-1	2	{ag=0, ng=0, nr=0}
-33486	苎	108244	-1	1	null
-33487	苏	168535	-1	2	{j=13, nr=0, r=0, vg=0}
-33489	苑	125469	-1	2	{ng=1, nr=0}
-33490	苒	65536	-1	3	{x=0}
-33491	苓	65536	-1	3	{x=0}
-33492	苔	127546	-1	2	{ng=0}
-33493	苕	125587	-1	1	null
-33495	苗	137522	-1	2	{j=3, n=6, nr=1}
-33496	苘	65536	-1	3	{n=0}
-33499	苛	127968	-1	1	null
-33500	苜	114923	-1	1	null
-33502	苞	117119	-1	2	{ng=1}
-33503	苟	130524	-1	2	{ag=1, c=0, d=1, nr=0}
-33504	苠	65536	-1	3	{n=0}
-33505	苡	65536	-1	3	{n=0}
-33507	苣	65536	-1	3	{x=0}
-33508	苤	115002	-1	1	null
-33509	若	129683	-1	2	{c=33, dg=0, v=23}
-33510	苦	177967	-1	2	{a=26, ad=2, an=12, v=6}
-33515	苫	125043	-1	2	{v=0}
-33519	苯	129077	-1	2	{n=0}
-33521	英	172309	-1	2	{j=102, ng=0, nr=0}
-33524	苴	108572	-1	1	null
-33527	苷	65536	-1	3	{x=0}
-33529	苹	122686	-1	1	null
-33531	苻	65536	-1	3	{nr=0}
-33537	茁	126446	-1	1	null
-33538	茂	127959	-1	2	{a=0}
-33539	范	130297	-1	2	{ng=0, nr=2}
-33540	茄	125845	-1	1	null
-33541	茅	132995	-1	2	{nr=0}
-33542	茆	65536	-1	3	{nr=0}
-33543	茇	65536	-1	3	{n=0}
-33544	茈	65536	-1	3	{x=0}
-33545	茉	115560	-1	1	null
-33548	茌	125063	-1	2	{nr=0, x=0}
-33550	茎	65536	-1	3	{n=1}
-33551	茏	65536	-1	3	{x=0}
-33553	茑	65536	-1	3	{n=0}
-33556	茔	65536	-1	3	{ng=0}
-33557	茕	65536	-1	3	{n=0}
-33559	茗	65536	-1	3	{ng=0}
-33562	茚	65536	-1	3	{n=0}
-33563	茛	65536	-1	3	{x=0}
-33564	茜	65536	-1	3	{nr=1}
-33575	茧	129251	-1	2	{ng=0}
-33576	茨	115469	-1	1	null
-33579	茫	123172	-1	2	{ag=0}
-33580	茬	127800	-1	2	{ng=2, q=3}
-33581	茭	118947	-1	1	null
-33583	茯	115797	-1	1	null
-33585	茱	115448	-1	1	null
-33587	茳	65536	-1	3	{x=0}
-33588	茴	109977	-1	1	null
-33589	茵	115717	-1	2	{ng=1}
-33590	茶	178514	-1	2	{n=12, ng=0}
-33592	茸	121728	-1	1	null
-33593	茹	121731	-1	2	{nr=0}
-33594	茺	65536	-1	3	{x=0}
-33596	茼	125691	-1	1	null
-33600	荀	65536	-1	3	{nr=0}
-33603	荃	65536	-1	3	{n=0}
-33606	荆	126494	-1	2	{j=1, nr=0}
-33607	荇	65536	-1	3	{x=0}
-33609	草	180670	-1	2	{a=0, j=0, n=37, ng=1}
-33615	荏	65536	-1	3	{n=0}
-33616	荐	129433	-1	2	{vg=0}
-33617	荑	65536	-1	3	{n=0}
-33618	荒	158065	-1	2	{ag=0, an=0, ng=6, v=1}
-33620	荔	122986	-1	1	null
-33626	荚	122990	-1	2	{nr=0}
-33627	荛	65536	-1	3	{n=0}
-33628	荜	65536	-1	3	{x=0}
-33630	荞	108903	-1	1	null
-33631	荟	115723	-1	1	null
-33632	荠	115764	-1	1	null
-33633	荡	130417	-1	2	{v=6}
-33635	荣	142068	-1	2	{ag=9, ng=0, nr=0}
-33636	荤	121759	-1	2	{ag=0, ng=1}
-33637	荥	65536	-1	3	{n=0}
-33638	荦	65536	-1	3	{n=0}
-33639	荧	128805	-1	1	null
-33640	荨	108954	-1	1	null
-33641	荩	65536	-1	3	{n=0}
-33642	荪	65536	-1	3	{n=0}
-33643	荫	128675	-1	2	{a=0, ng=1, vg=1}
-33644	荬	65536	-1	3	{x=0}
-33645	荭	65536	-1	3	{x=0}
-33646	荮	65536	-1	3	{q=0}
-33647	药	178380	-1	2	{n=41, v=1}
-33655	荷	131846	-1	2	{j=2, ng=5, vg=0}
-33656	荸	116020	-1	1	null
-33659	荻	128248	-1	2	{n=0, nr=1}
-33660	荼	122054	-1	1	null
-33661	荽	65536	-1	3	{x=0}
-33669	莅	129638	-1	2	{vg=1}
-33670	莆	119662	-1	1	null
-33673	莉	65536	-1	3	{x=0}
-33678	莎	126902	-1	1	null
-33682	莒	128338	-1	2	{n=0}
-33683	莓	65536	-1	3	{n=0}
-33688	莘	128238	-1	2	{nr=0}
-33691	莛	65536	-1	3	{n=0}
-33692	莜	109068	-1	1	null
-33694	莞	65536	-1	3	{j=0, x=0}
-33696	莠	65536	-1	3	{ag=0}
-33704	莨	115915	-1	2	{x=0}
-33705	莩	65536	-1	3	{x=0}
-33706	莪	65536	-1	3	{x=0}
-33707	莫	146339	-1	2	{d=20, j=0, nr=0}
-33712	莰	65536	-1	3	{n=0}
-33713	莱	128031	-1	2	{q=0}
-33714	莲	128536	-1	2	{ng=8}
-33715	莳	116398	-1	2	{x=0}
-33716	莴	118360	-1	1	null
-33718	莶	65536	-1	3	{x=0}
-33719	获	133758	-1	2	{v=131, vn=1}
-33720	莸	65536	-1	3	{n=0}
-33721	莹	116151	-1	2	{nr=0}
-33722	莺	127990	-1	2	{ng=2}
-33724	莼	116124	-1	1	null
-33725	莽	128480	-1	2	{ag=2, nr=0}
-33728	菀	65536	-1	3	{x=0}
-33729	菁	128565	-1	2	{nr=0}
-33733	菅	112569	-1	2	{ng=0, nr=0}
-33735	菇	129005	-1	2	{ng=0}
-33738	菊	126419	-1	2	{ng=9, nr=0}
-33740	菌	130252	-1	2	{n=2, ng=0}
-33743	菏	122007	-1	2	{j=0}
-33748	菔	65536	-1	3	{x=0}
-33750	菖	115948	-1	1	null
-33752	菘	65536	-1	3	{n=0}
-33756	菜	169830	-1	2	{n=68}
-33757	菝	65536	-1	3	{x=0}
-33759	菟	129946	-1	1	null
-33760	菠	116200	-1	1	null
-33761	菡	65536	-1	3	{x=0}
-33765	菥	65536	-1	3	{x=0}
-33769	菩	124402	-1	1	null
-33770	菪	65536	-1	3	{x=0}
-33776	菰	65536	-1	3	{n=0}
-33777	菱	125567	-1	2	{ng=0}
-33778	菲	129850	-1	2	{j=13}
-33785	菹	65536	-1	3	{n=0}
-33789	菽	122277	-1	2	{ng=0}
-33793	萁	65536	-1	3	{n=0}
-33795	萃	65536	-1	3	{ng=0, vg=0}
-33796	萄	65536	-1	3	{x=0}
-33798	萆	65536	-1	3	{x=0}
-33803	萋	65536	-1	3	{x=0}
-33804	萌	128863	-1	2	{nr=1, v=0, vg=0}
-33805	萍	129916	-1	2	{nr=1}
-33806	萎	117492	-1	2	{v=1}
-33807	萏	65536	-1	3	{x=0}
-33809	萑	65536	-1	3	{n=0}
-33816	萘	65536	-1	3	{n=0}
-33820	萜	65536	-1	3	{n=0}
-33821	萝	128664	-1	1	null
-33828	萤	121229	-1	1	null
-33829	营	148709	-1	2	{n=9, v=1, vg=2}
-33830	萦	117580	-1	2	{vg=0}
-33831	萧	129061	-1	2	{nr=0}
-33832	萨	142246	-1	2	{j=0, nr=0}
-33841	萱	116517	-1	1	null
-33848	萸	65536	-1	3	{x=0}
-33852	萼	120872	-1	1	null
-33853	落	175584	-1	2	{ng=0, v=67, vg=0, vn=0}
-33862	葆	65536	-1	3	{ng=1, vg=6}
-33873	葑	65536	-1	3	{n=0}
-33879	著	130141	-1	2	{v=4, vg=1}
-33881	葙	65536	-1	3	{x=0}
-33882	葚	65536	-1	3	{x=0}
-33883	葛	130028	-1	2	{nr=0}
-33884	葜	65536	-1	3	{x=0}
-33889	葡	124230	-1	2	{j=4}
-33891	董	130123	-1	2	{nr=3}
-33897	葩	65536	-1	3	{ng=0}
-33899	葫	116791	-1	2	{j=0, nr=0}
-33900	葬	119229	-1	2	{vg=0}
-33901	葭	65536	-1	3	{n=0}
-33905	葱	127626	-1	2	{n=0}
-33907	葳	65536	-1	3	{x=0}
-33909	葵	125112	-1	1	null
-33910	葶	65536	-1	3	{x=0}
-33912	葸	65536	-1	3	{n=0}
-33914	葺	65536	-1	3	{n=0}
-33922	蒂	65536	-1	3	{n=0}
-33927	蒇	65536	-1	3	{n=0}
-33928	蒈	65536	-1	3	{n=0}
-33929	蒉	65536	-1	3	{nr=0}
-33931	蒋	130157	-1	2	{j=2, nr=1}
-33932	蒌	65536	-1	3	{x=0}
-33934	蒎	65536	-1	3	{n=0}
-33943	蒗	65536	-1	3	{n=0}
-33945	蒙	160356	-1	2	{j=2, nr=0, v=5}
-33948	蒜	127606	-1	2	{n=0}
-33953	蒡	65536	-1	3	{x=0}
-33967	蒯	65536	-1	3	{nr=0}
-33970	蒲	130228	-1	2	{nr=0}
-33972	蒴	65536	-1	3	{n=0}
-33976	蒸	129577	-1	2	{v=2, vn=0}
-33977	蒹	65536	-1	3	{n=0}
-33978	蒺	116115	-1	1	null
-33981	蒽	65536	-1	3	{n=0}
-33983	蒿	127011	-1	2	{nr=0}
-33985	蓁	65536	-1	3	{x=0}
-33988	蓄	129567	-1	2	{v=5}
-33993	蓉	128161	-1	2	{j=0}
-33994	蓊	116417	-1	1	null
-33997	蓍	65536	-1	3	{n=0}
-34000	蓐	65536	-1	3	{n=0}
-34001	蓑	115505	-1	1	null
-34003	蓓	116250	-1	1	null
-34006	蓖	109792	-1	1	null
-34013	蓝	157421	-1	2	{a=20, ng=0, nr=0}
-34015	蓟	129053	-1	2	{nr=0, x=0}
-34016	蓠	65536	-1	3	{x=0}
-34019	蓣	65536	-1	3	{x=0}
-34021	蓥	65536	-1	3	{n=0}
-34022	蓦	128173	-1	1	null
-34028	蓬	133706	-1	2	{nr=1, q=0, v=0}
-34032	蓰	65536	-1	3	{n=0}
-34044	蓼	116521	-1	2	{nr=0}
-34047	蓿	65536	-1	3	{x=0}
-34060	蔌	65536	-1	3	{n=0}
-34065	蔑	115269	-1	1	null
-34067	蔓	129757	-1	1	null
-34071	蔗	129653	-1	2	{ng=0}
-34074	蔚	130551	-1	2	{ag=2, nr=0}
-34079	蔟	65536	-1	3	{n=0}
-34081	蔡	129734	-1	2	{nr=4}
-34091	蔫	130700	-1	2	{v=1}
-34092	蔬	116847	-1	2	{ng=0}
-34103	蔷	116423	-1	1	null
-34104	蔸	65536	-1	3	{q=0}
-34105	蔹	65536	-1	3	{x=0}
-34106	蔺	120159	-1	2	{nr=0}
-34107	蔻	65536	-1	3	{x=0}
-34108	蔼	65536	-1	3	{n=0}
-34109	蔽	127998	-1	2	{v=1, vg=0}
-34115	蕃	125955	-1	1	null
-34120	蕈	65536	-1	3	{n=0}
-34121	蕉	109988	-1	2	{ng=0}
-34122	蕊	65536	-1	3	{ng=1}
-34134	蕖	65536	-1	3	{x=0}
-34137	蕙	129776	-1	2	{ng=0}
-34142	蕞	65536	-1	3	{x=0}
-34148	蕤	65536	-1	3	{x=0}
-34152	蕨	118767	-1	1	null
-34162	蕲	124501	-1	2	{n=0}
-34164	蕴	129188	-1	2	{vg=1}
-34169	蕹	116903	-1	1	null
-34170	蕺	65536	-1	3	{x=0}
-34171	蕻	116905	-1	1	null
-34174	蕾	112582	-1	2	{ng=0, nr=0}
-34180	薄	148852	-1	2	{a=8, nr=0, vg=0}
-34181	薅	65536	-1	3	{v=0}
-34183	薇	65536	-1	3	{n=0}
-34191	薏	118829	-1	1	null
-34203	薛	128200	-1	2	{nr=0}
-34204	薜	65536	-1	3	{nr=0, x=0}
-34212	薤	65536	-1	3	{n=0}
-34216	薨	65536	-1	3	{n=0}
-34218	薪	130519	-1	2	{n=0, ng=1}
-34222	薮	65536	-1	3	{n=0}
-34223	薯	126538	-1	1	null
-34224	薰	65536	-1	3	{v=0}
-34231	薷	65536	-1	3	{x=0}
-34233	薹	117089	-1	2	{n=0}
-34241	藁	128222	-1	2	{n=0}
-34249	藉	130507	-1	2	{vg=1}
-34255	藏	159630	-1	2	{j=26, nr=0, v=18}
-34256	藐	127167	-1	1	null
-34259	藓	117244	-1	1	null
-34261	藕	129316	-1	2	{n=0}
-34268	藜	65536	-1	3	{n=0}
-34276	藤	136068	-1	2	{n=0, nr=0}
-34281	藩	128477	-1	2	{ng=0}
-34299	藻	130630	-1	2	{ng=0}
-34303	藿	111429	-1	1	null
-34309	蘅	65536	-1	3	{x=0}
-34321	蘑	117020	-1	1	null
-34326	蘖	124235	-1	2	{ng=0}
-34343	蘧	65536	-1	3	{x=0}
-34345	蘩	65536	-1	3	{n=0}
-34360	蘸	65536	-1	3	{v=1}
-34364	蘼	65536	-1	3	{x=0}
-34382	虎	167203	-1	2	{n=116, nr=0, v=0}
-34383	虏	65536	-1	3	{ng=0}
-34384	虐	126413	-1	2	{ag=0}
-34385	虑	65536	-1	3	{vg=0}
-34388	虔	124908	-1	1	null
-34394	虚	173509	-1	2	{a=2, ag=0, an=0, d=9, ng=0}
-34398	虞	128467	-1	2	{ng=0, nr=0, t=0, vg=0}
-34402	虢	65536	-1	3	{nr=0}
-34411	虫	133081	-1	2	{n=1}
-34412	虬	124602	-1	1	null
-34414	虮	65536	-1	3	{n=0}
-34417	虱	127592	-1	1	null
-34425	虹	129569	-1	2	{n=1, ng=0}
-34426	虺	65536	-1	3	{x=0}
-34427	虻	65536	-1	3	{n=0}
-34428	虼	65536	-1	3	{x=0}
-34429	虽	129967	-1	2	{c=103}
-34430	虾	131065	-1	2	{n=3}
-34431	虿	65536	-1	3	{n=0}
-34432	蚀	129949	-1	2	{vg=1}
-34433	蚁	129596	-1	2	{ng=0}
-34434	蚂	116588	-1	1	null
-34442	蚊	127653	-1	2	{ng=1}
-34443	蚋	65536	-1	3	{n=0}
-34444	蚌	128513	-1	1	null
-34445	蚍	116441	-1	1	null
-34451	蚓	65536	-1	3	{x=0}
-34453	蚕	134801	-1	2	{n=1}
-34460	蚜	116612	-1	1	null
-34461	蚝	123197	-1	2	{n=0}
-34467	蚣	65536	-1	3	{x=0}
-34468	蚤	65536	-1	3	{n=0}
-34471	蚧	65536	-1	3	{x=0}
-34472	蚨	65536	-1	3	{x=0}
-34473	蚩	127448	-1	2	{j=0}
-34474	蚪	65536	-1	3	{x=0}
-34476	蚬	65536	-1	3	{n=0}
-34479	蚯	116589	-1	1	null
-34480	蚰	116463	-1	1	null
-34481	蚱	116455	-1	1	null
-34484	蚴	65536	-1	3	{n=0}
-34486	蚶	127678	-1	1	null
-34490	蚺	65536	-1	3	{x=0}
-34496	蛀	126546	-1	2	{v=1}
-34500	蛄	65536	-1	3	{x=0}
-34502	蛆	116652	-1	2	{n=0}
-34503	蛇	134515	-1	2	{n=3}
-34505	蛉	65536	-1	3	{x=0}
-34506	蛊	126285	-1	1	null
-34507	蛋	135186	-1	2	{n=29, ng=0}
-34510	蛎	65536	-1	3	{n=0}
-34511	蛏	127716	-1	1	null
-34512	蛐	116572	-1	1	null
-34513	蛑	65536	-1	3	{x=0}
-34516	蛔	116680	-1	1	null
-34520	蛘	65536	-1	3	{n=0}
-34521	蛙	130949	-1	2	{ng=0}
-34523	蛛	131107	-1	1	null
-34526	蛞	65536	-1	3	{x=0}
-34527	蛟	123279	-1	2	{ng=0}
-34532	蛤	116655	-1	2	{ng=0}
-34537	蛩	65536	-1	3	{n=0}
-34541	蛭	65536	-1	3	{n=0}
-34542	蛮	131185	-1	2	{a=0, d=4}
-34544	蛰	130897	-1	1	null
-34545	蛱	65536	-1	3	{x=0}
-34546	蛲	116728	-1	1	null
-34547	蛳	65536	-1	3	{x=0}
-34548	蛴	65536	-1	3	{x=0}
-34552	蛸	65536	-1	3	{x=0}
-34553	蛹	65536	-1	3	{n=0}
-34558	蛾	127767	-1	1	null
-34560	蜀	131150	-1	2	{j=4, t=0}
-34562	蜂	137977	-1	2	{n=0, ng=0}
-34563	蜃	124937	-1	1	null
-34567	蜇	65536	-1	3	{v=0, x=0}
-34568	蜈	116697	-1	1	null
-34569	蜉	116508	-1	1	null
-34570	蜊	65536	-1	3	{x=0}
-34573	蜍	65536	-1	3	{x=0}
-34578	蜒	65536	-1	3	{x=0}
-34579	蜓	65536	-1	3	{x=0}
-34581	蜕	129905	-1	2	{vg=0}
-34583	蜗	127567	-1	1	null
-34584	蜘	116657	-1	1	null
-34586	蜚	128419	-1	1	null
-34588	蜜	138299	-1	2	{n=1}
-34590	蜞	65536	-1	3	{x=0}
-34593	蜡	152017	-1	2	{n=0}
-34594	蜢	65536	-1	3	{x=0}
-34595	蜣	116534	-1	1	null
-34597	蜥	118177	-1	1	null
-34601	蜩	65536	-1	3	{n=0}
-34606	蜮	65536	-1	3	{n=0}
-34609	蜱	65536	-1	3	{n=0}
-34612	蜴	65536	-1	3	{x=0}
-34615	蜷	130993	-1	2	{v=0}
-34619	蜻	116650	-1	1	null
-34622	蜾	116426	-1	1	null
-34623	蜿	116670	-1	1	null
-34631	蝇	128654	-1	2	{ng=1}
-34632	蝈	116638	-1	1	null
-34633	蝉	118534	-1	2	{n=0}
-34636	蝌	116800	-1	1	null
-34638	蝎	127905	-1	2	{ng=0}
-34643	蝓	65536	-1	3	{x=0}
-34647	蝗	127903	-1	1	null
-34649	蝙	116630	-1	1	null
-34656	蝠	65536	-1	3	{x=0}
-34659	蝣	65536	-1	3	{x=0}
-34660	蝤	65536	-1	3	{x=0}
-34661	蝥	65536	-1	3	{x=0}
-34670	蝮	116788	-1	1	null
-34672	蝰	116789	-1	1	null
-34676	蝴	116615	-1	1	null
-34678	蝶	127722	-1	2	{ng=0}
-34683	蝻	127920	-1	1	null
-34684	蝼	116867	-1	1	null
-34685	蝽	65536	-1	3	{n=0}
-34686	蝾	116605	-1	1	null
-34690	螂	65536	-1	3	{x=0}
-34691	螃	116494	-1	1	null
-34693	螅	65536	-1	3	{x=0}
-34696	螈	65536	-1	3	{x=0}
-34699	螋	65536	-1	3	{x=0}
-34701	融	132023	-1	2	{nr=0, v=15}
-34707	螓	65536	-1	3	{n=0}
-34711	螗	65536	-1	3	{n=0}
-34719	螟	127848	-1	1	null
-34728	螨	65536	-1	3	{n=0}
-34731	螫	65536	-1	3	{v=0}
-34732	螬	65536	-1	3	{x=0}
-34733	螭	65536	-1	3	{n=0}
-34735	螯	65536	-1	3	{n=0}
-34739	螳	118111	-1	1	null
-34741	螵	65536	-1	3	{x=0}
-34746	螺	132894	-1	2	{ng=0}
-34749	螽	65536	-1	3	{x=0}
-34752	蟀	65536	-1	3	{x=0}
-34758	蟆	65536	-1	3	{x=0}
-34762	蟊	65536	-1	3	{n=0}
-34763	蟋	116584	-1	1	null
-34769	蟑	116651	-1	1	null
-34770	蟒	127679	-1	1	null
-34779	蟛	65536	-1	3	{x=0}
-34784	蟠	124652	-1	2	{vg=0}
-34789	蟥	65536	-1	3	{x=0}
-34794	蟪	65536	-1	3	{x=0}
-34798	蟮	65536	-1	3	{x=0}
-34809	蟹	118446	-1	2	{ng=0}
-34814	蟾	130543	-1	1	null
-34819	蠃	65536	-1	3	{x=0}
-34826	蠊	65536	-1	3	{x=0}
-34835	蠓	116942	-1	2	{n=0}
-34837	蠕	130210	-1	1	null
-34838	蠖	65536	-1	3	{x=0}
-34843	蠛	65536	-1	3	{x=0}
-34849	蠡	65536	-1	3	{n=0}
-34850	蠢	131407	-1	2	{a=0}
-34866	蠲	65536	-1	3	{n=0}
-34873	蠹	116965	-1	1	null
-34876	蠼	65536	-1	3	{x=0}
-34880	血	181409	-1	2	{n=29}
-34884	衄	65536	-1	3	{n=0}
-34885	衅	65536	-1	3	{n=0}
-34892	行	186248	-1	2	{a=20, j=0, n=7, ng=37, q=15, v=42, vg=1, vn=0}
-34893	衍	130322	-1	2	{vg=1}
-34900	衔	130711	-1	2	{v=0}
-34903	街	146568	-1	2	{n=36}
-34905	衙	130747	-1	1	null
-34913	衡	130442	-1	2	{nr=0}
-34914	衢	130190	-1	1	null
-34915	衣	166395	-1	2	{n=1, ng=17, nr=1, v=0}
-34917	补	178038	-1	2	{ng=0, v=31, vd=0, vn=0}
-34920	表	177214	-1	2	{n=25, v=1, vg=8}
-34921	衩	65536	-1	3	{n=1, x=0}
-34923	衫	65536	-1	3	{ng=0}
-34924	衬	132957	-1	2	{v=0}
-34926	衮	65536	-1	3	{n=0}
-34928	衰	131711	-1	2	{ag=1}
-34930	衲	65536	-1	3	{n=0}
-34935	衷	127370	-1	1	null
-34941	衽	65536	-1	3	{n=0}
-34942	衾	65536	-1	3	{n=0}
-34943	衿	65536	-1	3	{n=0}
-34945	袁	128930	-1	2	{nr=8}
-34946	袂	65536	-1	3	{ng=0}
-34948	袄	65536	-1	3	{n=0}
-34949	袅	128697	-1	1	null
-34952	袈	116736	-1	1	null
-34955	袋	130986	-1	2	{n=0, ng=3, q=15}
-34957	袍	128411	-1	2	{ng=0}
-34962	袒	126539	-1	2	{vg=0}
-34966	袖	132304	-1	2	{ng=1, v=0}
-34972	袜	129185	-1	2	{ng=1}
-34978	袢	65536	-1	3	{v=0, x=0}
-34980	袤	65536	-1	3	{n=0}
-34987	被	150464	-1	2	{d=2, n=0, ng=3, p=952, vg=0}
-34989	袭	131042	-1	2	{nr=0, q=0, v=13}
-34993	袱	65536	-1	3	{n=0}
-34999	袷	65536	-1	3	{x=0}
-35004	袼	65536	-1	3	{x=0}
-35009	裁	135002	-1	2	{v=1}
-35010	裂	133051	-1	2	{v=5}
-35013	装	176549	-1	2	{n=0, ng=1, v=40}
-35014	裆	114884	-1	1	null
-35017	裉	65536	-1	3	{n=0}
-35022	裎	65536	-1	3	{n=0}
-35026	裒	65536	-1	3	{n=0}
-35028	裔	65536	-1	3	{nr=0}
-35029	裕	131970	-1	2	{nr=1, vg=0}
-35032	裘	121609	-1	2	{nr=0}
-35033	裙	128637	-1	2	{ng=2}
-35039	裟	65536	-1	3	{x=0}
-35042	裢	65536	-1	3	{x=0}
-35043	裣	65536	-1	3	{x=0}
-35044	裤	133032	-1	2	{ng=2}
-35048	裨	121590	-1	1	null
-35056	裰	65536	-1	3	{n=0}
-35057	裱	120059	-1	2	{v=0}
-35059	裳	65536	-1	3	{ng=0, x=0}
-35060	裴	130990	-1	2	{nr=1}
-35064	裸	131862	-1	2	{ag=0}
-35065	裹	128459	-1	2	{v=8}
-35068	裼	65536	-1	3	{n=0}
-35070	裾	65536	-1	3	{ng=0}
-35074	褂	128660	-1	2	{ng=0}
-35082	褊	65536	-1	3	{ag=0}
-35088	褐	128656	-1	2	{b=0, ng=0}
-35090	褒	132019	-1	2	{v=0, vn=0}
-35091	褓	65536	-1	3	{x=0}
-35097	褙	65536	-1	3	{n=0}
-35098	褚	65536	-1	3	{nr=2}
-35099	褛	65536	-1	3	{x=0}
-35105	褡	130809	-1	1	null
-35109	褥	130798	-1	1	null
-35114	褪	118669	-1	2	{v=2}
-35115	褫	129224	-1	1	null
-35120	褰	65536	-1	3	{n=0}
-35124	褴	116969	-1	1	null
-35126	褶	128700	-1	2	{ng=0}
-35137	襁	116986	-1	1	null
-35140	襄	130954	-1	2	{j=1, ng=0, vg=0}
-35166	襞	65536	-1	3	{n=0}
-35167	襟	127518	-1	2	{n=1, ng=0}
-35174	襦	65536	-1	3	{n=0}
-35195	襻	65536	-1	3	{v=0}
-35199	西	188600	-1	2	{f=46, j=10, nr=1}
-35201	要	175885	-1	2	{ag=1, c=1, d=0, ng=0, nr=0, v=2932, vn=0}
-35203	覃	65536	-1	3	{nr=0}
-35206	覆	124552	-1	2	{vg=1}
-35265	见	179405	-1	2	{ng=0, u=0, v=177}
-35266	观	157583	-1	2	{k=0, ng=2, vg=18}
-35268	规	144141	-1	2	{ng=2, vg=0}
-35269	觅	113402	-1	2	{v=0, vg=5}
-35270	视	157628	-1	2	{vg=29}
-35271	觇	65536	-1	3	{n=0}
-35272	览	119591	-1	2	{v=0, vg=1}
-35273	觉	132789	-1	2	{ng=4, q=0, v=9}
-35274	觊	117302	-1	1	null
-35275	觋	65536	-1	3	{n=0}
-35276	觌	65536	-1	3	{n=0}
-35278	觎	65536	-1	3	{x=0}
-35279	觏	65536	-1	3	{vg=0}
-35280	觐	65536	-1	3	{n=0}
-35281	觑	65536	-1	3	{v=1}
-35282	角	156989	-1	2	{n=6, ng=0, q=13}
-35286	觖	65536	-1	3	{n=0}
-35290	觚	65536	-1	3	{ng=0}
-35292	觜	65536	-1	3	{n=0}
-35294	觞	65536	-1	3	{v=0}
-35299	解	178582	-1	2	{ng=0, nr=0, v=23}
-35301	觥	121054	-1	1	null
-35302	触	137055	-1	2	{v=4}
-35307	觫	65536	-1	3	{x=0}
-35311	觯	65536	-1	3	{n=0}
-35315	觳	65536	-1	3	{x=0}
-35328	言	166478	-1	2	{ng=9, nr=0, v=0, vg=18}
-35335	訇	65536	-1	3	{x=0}
-35390	訾	65536	-1	3	{nr=0}
-35400	詈	65536	-1	3	{n=0}
-35449	詹	65536	-1	3	{nr=0}
-35465	誉	132788	-1	2	{ng=1, vg=1}
-35466	誊	131934	-1	2	{v=0}
-35475	誓	133088	-1	2	{vg=2}
-35591	謇	65536	-1	3	{n=0}
-35622	謦	65536	-1	3	{x=0}
-35686	警	178357	-1	2	{j=3, ng=13, vg=2}
-35692	譬	130916	-1	1	null
-35745	计	149357	-1	2	{j=0, k=0, n=0, ng=4, nr=0, v=21, vn=0}
-35746	订	144606	-1	2	{v=33}
-35747	讣	131390	-1	1	null
-35748	认	150148	-1	2	{v=14}
-35749	讥	130926	-1	2	{vg=0}
-35750	讦	65536	-1	3	{n=0}
-35751	讧	65536	-1	3	{n=0}
-35752	讨	141739	-1	2	{v=4}
-35753	让	135600	-1	2	{p=0, v=523}
-35754	讪	121507	-1	1	null
-35755	讫	65536	-1	3	{n=0}
-35757	训	132956	-1	2	{ng=0, v=3}
-35758	议	147845	-1	2	{j=0, ng=0, v=3}
-35759	讯	131560	-1	2	{ng=699, vg=1}
-35760	记	168097	-1	2	{n=0, ng=8, q=1, v=56, vn=0}
-35762	讲	159827	-1	2	{ng=0, v=323, vn=0}
-35763	讳	123031	-1	2	{vg=0}
-35764	讴	125664	-1	1	null
-35765	讵	65536	-1	3	{d=0}
-35766	讶	128811	-1	1	null
-35767	讷	125311	-1	1	null
-35768	许	133110	-1	2	{dg=0, m=15, nr=2, v=4, vg=1}
-35769	讹	132915	-1	2	{v=0}
-35770	论	154616	-1	2	{j=0, k=3, n=1, ng=10, p=0, v=36, vg=0, vn=0}
-35772	讼	126494	-1	2	{vg=0}
-35773	讽	132146	-1	2	{vg=0}
-35774	设	144175	-1	2	{v=59}
-35775	访	133218	-1	2	{v=51, vn=0}
-35776	诀	132184	-1	2	{ng=1}
-35777	证	150138	-1	2	{j=0, n=16, ng=0, vg=0}
-35778	诂	65536	-1	3	{n=0}
-35779	诃	65536	-1	3	{n=0}
-35780	评	174566	-1	2	{v=29}
-35781	诅	131619	-1	1	null
-35782	识	132802	-1	2	{ng=0, v=13}
-35784	诈	132047	-1	2	{v=0, vn=0}
-35785	诉	132475	-1	2	{n=0, ng=0, vg=3}
-35786	诊	130066	-1	2	{vg=1}
-35787	诋	125722	-1	1	null
-35788	诌	65536	-1	3	{vg=0}
-35789	词	175817	-1	2	{n=17}
-35790	诎	65536	-1	3	{ag=0}
-35791	诏	133265	-1	2	{ng=0}
-35793	译	146891	-1	2	{v=4, vg=0, vn=0}
-35794	诒	65536	-1	3	{n=0}
-35795	诓	113776	-1	2	{v=0}
-35796	诔	65536	-1	3	{n=0}
-35797	试	174771	-1	2	{ng=0, v=21, vd=0, vn=1}
-35798	诖	65536	-1	3	{n=0}
-35799	诗	171319	-1	2	{j=0, n=22, nr=0}
-35800	诘	115058	-1	1	null
-35801	诙	117586	-1	2	{vg=0}
-35802	诚	139360	-1	2	{a=3, an=2, dg=1}
-35803	诛	125749	-1	1	null
-35804	诜	65536	-1	3	{x=0}
-35805	话	148013	-1	2	{m=0, n=160, q=0, u=0, v=0, vg=6}
-35806	诞	123537	-1	1	null
-35807	诟	123378	-1	1	null
-35808	诠	116206	-1	1	null
-35809	诡	129361	-1	2	{ag=0}
-35810	询	115165	-1	2	{vg=0}
-35811	诣	65536	-1	3	{v=0}
-35812	诤	132110	-1	2	{vg=0}
-35813	该	179811	-1	2	{p=0, r=301, v=59}
-35814	详	132389	-1	2	{ag=2}
-35815	诧	129242	-1	1	null
-35816	诨	132074	-1	1	null
-35817	诩	65536	-1	3	{n=0}
-35819	诫	132375	-1	1	null
-35820	诬	132011	-1	2	{vg=0}
-35821	语	172422	-1	2	{ng=8, v=1, vg=4}
-35822	诮	65536	-1	3	{n=0}
-35823	误	139703	-1	2	{ad=0, d=1, ng=1, v=12, vn=0}
-35824	诰	130128	-1	1	null
-35825	诱	147348	-1	2	{vg=1}
-35826	诲	133553	-1	2	{vg=0}
-35827	诳	117916	-1	2	{v=0}
-35828	说	180597	-1	2	{n=1, ng=6, v=2549, vn=0}
-35829	诵	121361	-1	2	{vg=2}
-35830	诶	65536	-1	3	{e=0}
-35831	请	144660	-1	2	{v=178, vn=0}
-35832	诸	143956	-1	2	{ag=0, ng=0, nr=0, p=0, r=16, rg=0}
-35833	诹	65536	-1	3	{n=0}
-35834	诺	133950	-1	2	{ng=1, nr=1, vg=1}
-35835	读	140589	-1	2	{ng=0, v=110, vn=0}
-35836	诼	65536	-1	3	{n=0}
-35837	诽	118025	-1	1	null
-35838	课	146543	-1	2	{n=22, q=0, v=0, vg=0}
-35839	诿	65536	-1	3	{vg=0}
-35840	谀	65536	-1	3	{n=0}
-35841	谁	133946	-1	2	{r=174}
-35842	谂	65536	-1	3	{n=0}
-35843	调	188967	-1	2	{n=2, v=47}
-35844	谄	134023	-1	1	null
-35845	谅	130350	-1	2	{v=0}
-35846	谆	118150	-1	1	null
-35847	谇	65536	-1	3	{n=0}
-35848	谈	149056	-1	2	{ng=0, nr=0, v=177, vn=2}
-35850	谊	65536	-1	3	{ng=1}
-35851	谋	146023	-1	2	{ng=1, nr=0, v=21, vg=0}
-35852	谌	65536	-1	3	{nr=0}
-35853	谍	128833	-1	1	null
-35854	谎	133979	-1	2	{ng=0}
-35855	谏	65536	-1	3	{vg=0}
-35856	谐	132638	-1	2	{ag=1}
-35857	谑	65536	-1	3	{n=0}
-35858	谒	115577	-1	2	{vg=0}
-35859	谓	118307	-1	2	{v=2, vg=4}
-35860	谔	65536	-1	3	{x=0}
-35861	谕	128010	-1	2	{ng=0, vg=0}
-35862	谖	65536	-1	3	{n=0}
-35863	谗	118772	-1	2	{vg=0}
-35864	谘	65536	-1	3	{n=0}
-35865	谙	121650	-1	1	null
-35866	谚	118281	-1	1	null
-35867	谛	132555	-1	1	null
-35868	谜	131885	-1	2	{n=3, ng=2}
-35869	谝	65536	-1	3	{n=0}
-35871	谟	65536	-1	3	{n=0}
-35872	谠	65536	-1	3	{n=0}
-35873	谡	65536	-1	3	{n=0}
-35874	谢	152724	-1	2	{j=1, nr=1, v=4}
-35875	谣	133875	-1	2	{ng=1}
-35876	谤	65536	-1	3	{n=0}
-35877	谥	65536	-1	3	{vg=0}
-35878	谦	133263	-1	2	{nr=0, vg=1}
-35879	谧	65536	-1	3	{n=0}
-35880	谨	134311	-1	2	{d=6, nr=0}
-35881	谩	114601	-1	1	null
-35882	谪	130535	-1	2	{vg=0}
-35883	谫	65536	-1	3	{n=0}
-35884	谬	133968	-1	2	{ng=0, nr=0}
-35885	谭	129669	-1	2	{nr=1, vn=0}
-35886	谮	65536	-1	3	{n=0}
-35887	谯	65536	-1	3	{nr=0}
-35888	谰	118849	-1	1	null
-35889	谱	134327	-1	2	{ng=4, v=1}
-35890	谲	65536	-1	3	{n=0}
-35891	谳	65536	-1	3	{n=0}
-35892	谴	118047	-1	2	{vg=0}
-35893	谵	131263	-1	1	null
-35894	谶	118359	-1	1	null
-35895	谷	155987	-1	2	{ng=3, nr=0}
-35905	豁	137157	-1	2	{v=3}
-35910	豆	158070	-1	2	{n=10}
-35911	豇	118315	-1	1	null
-35913	豉	65536	-1	3	{x=0}
-35916	豌	118317	-1	1	null
-35925	豕	65536	-1	3	{n=0}
-35930	豚	113493	-1	1	null
-35937	象	137168	-1	2	{n=0, ng=3}
-35938	豢	133401	-1	2	{vg=0}
-35946	豪	149218	-1	2	{ag=0}
-35947	豫	134439	-1	2	{j=5}
-35955	豳	65536	-1	3	{n=0}
-35960	豸	65536	-1	3	{n=0}
-35961	豹	130931	-1	2	{n=0, ng=2}
-35962	豺	124863	-1	1	null
-35970	貂	131157	-1	2	{n=0}
-35973	貅	65536	-1	3	{x=0}
-35977	貉	130948	-1	2	{ng=0}
-35978	貊	65536	-1	3	{n=0}
-35980	貌	134041	-1	2	{ng=3}
-35988	貔	118357	-1	1	null
-35992	貘	65536	-1	3	{n=0}
-36125	贝	152044	-1	2	{j=9, ng=0, nr=0}
-36126	贞	128579	-1	2	{nr=0}
-36127	负	156468	-1	2	{b=9, n=0, ng=0, v=56, vd=0, vn=3}
-36129	贡	132834	-1	2	{ng=0, nr=0, vg=0}
-36130	财	165282	-1	2	{j=0, n=14, ng=0}
-36131	责	139592	-1	2	{j=0, ng=9, vg=1}
-36132	贤	135939	-1	2	{ag=0, ng=0}
-36133	败	151546	-1	2	{v=22}
-36134	账	139092	-1	2	{n=35}
-36135	货	172337	-1	2	{n=29}
-36136	质	151827	-1	2	{ag=0, n=0, ng=27}
-36137	贩	133304	-1	2	{ng=0, v=6}
-36138	贪	155797	-1	2	{v=6, vn=0}
-36139	贫	147995	-1	2	{a=0, ag=14, an=0, j=0, ng=1}
-36140	贬	135494	-1	2	{v=2, vn=0}
-36141	购	143708	-1	2	{v=1, vg=41, vn=0}
-36142	贮	131926	-1	2	{v=2}
-36143	贯	135061	-1	2	{nr=0, vg=0}
-36144	贰	130207	-1	2	{m=0}
-36145	贱	134738	-1	2	{a=1}
-36146	贲	116348	-1	2	{nr=0}
-36147	贳	65536	-1	3	{n=0}
-36148	贴	140496	-1	2	{n=0, p=0, q=0, v=38, vn=0}
-36149	贵	164379	-1	2	{a=19, ad=0, j=8, ng=0, r=0, v=0}
-36150	贶	65536	-1	3	{n=0}
-36151	贷	131430	-1	2	{j=0, ng=1, v=8, vg=1, vn=0}
-36152	贸	134424	-1	2	{j=1, n=0, ng=1, vg=2}
-36153	费	144757	-1	2	{n=3, nr=0, v=13, vn=0}
-36154	贺	148115	-1	2	{ng=0, nr=0, vg=26}
-36155	贻	134995	-1	2	{vg=0}
-36156	贼	138002	-1	2	{a=0, dg=0, n=1}
-36157	贽	65536	-1	3	{n=0}
-36158	贾	132349	-1	2	{nr=3}
-36159	贿	118742	-1	2	{ng=1, vg=0}
-36160	赀	65536	-1	3	{n=0}
-36161	赁	123722	-1	2	{v=0}
-36162	赂	65536	-1	3	{ng=0}
-36163	赃	131476	-1	2	{ng=0}
-36164	资	167017	-1	2	{j=0, n=0, ng=14, nr=0, vg=0}
-36165	赅	65536	-1	3	{vg=0}
-36166	赆	65536	-1	3	{n=0}
-36167	赇	65536	-1	3	{n=0}
-36168	赈	127538	-1	1	null
-36169	赉	65536	-1	3	{n=0}
-36170	赊	133172	-1	2	{v=0}
-36171	赋	135202	-1	2	{n=0, ng=0, v=2}
-36172	赌	148050	-1	2	{j=0, v=0}
-36173	赍	65536	-1	3	{n=0}
-36174	赎	135248	-1	2	{v=0}
-36175	赏	136050	-1	2	{nr=0, v=5}
-36176	赐	134898	-1	2	{v=2, vn=0}
-36179	赓	65536	-1	3	{nr=1}
-36180	赔	137011	-1	2	{v=8, vn=0}
-36181	赕	65536	-1	3	{n=0}
-36182	赖	134816	-1	2	{a=1, nr=0, v=5}
-36184	赘	132056	-1	2	{ag=0}
-36185	赙	65536	-1	3	{vg=0}
-36186	赚	133553	-1	2	{v=23}
-36187	赛	158044	-1	2	{ng=2, nr=0, v=9, vn=10}
-36188	赜	65536	-1	3	{n=0}
-36189	赝	133344	-1	2	{n=0}
-36190	赞	141068	-1	2	{j=4, ng=1, nr=0, v=0, vg=5}
-36192	赠	144827	-1	2	{v=21}
-36193	赡	134199	-1	2	{vg=0}
-36194	赢	134802	-1	2	{v=9, vn=0}
-36195	赣	134015	-1	2	{j=4, nr=0}
-36196	赤	175378	-1	2	{ag=2, vg=1}
-36198	赦	134359	-1	1	null
-36199	赧	65536	-1	3	{n=0}
-36203	赫	134382	-1	2	{nr=0, q=0}
-36205	赭	124503	-1	1	null
-36208	走	182583	-1	2	{v=564, vn=0}
-36211	赳	65536	-1	3	{x=0}
-36212	赴	135154	-1	2	{v=94}
-36213	赵	135090	-1	2	{nr=10}
-36214	赶	169807	-1	2	{p=0, v=43, vd=0}
-36215	起	185700	-1	2	{f=185, p=0, q=110, v=650, vn=0}
-36225	趁	135923	-1	2	{p=2, v=1, vg=0}
-36228	趄	65536	-1	3	{v=0, x=0}
-36229	超	183615	-1	2	{d=1, h=0, n=0, nr=0, v=30, vd=0, vn=0}
-36234	越	154427	-1	2	{d=132, j=24, nr=0, tg=0, v=0, vg=11}
-36235	趋	135886	-1	2	{v=34, vg=0}
-36241	趑	65536	-1	3	{x=0}
-36244	趔	119421	-1	1	null
-36255	趟	127689	-1	2	{q=23, v=6}
-36259	趣	135554	-1	2	{ag=2, ng=2}
-36273	趱	65536	-1	3	{n=0}
-36275	足	139651	-1	2	{a=19, d=7, j=0, ng=4, v=0}
-36276	趴	135702	-1	2	{v=4}
-36277	趵	65536	-1	3	{n=0}
-36280	趸	130474	-1	2	{vg=2}
-36282	趺	65536	-1	3	{n=0}
-36284	趼	65536	-1	3	{n=0}
-36286	趾	132848	-1	1	null
-36287	趿	130405	-1	2	{v=0}
-36291	跃	139783	-1	2	{vg=20}
-36292	跄	65536	-1	3	{x=0}
-36294	跆	130388	-1	1	null
-36299	跋	132074	-1	2	{ng=1}
-36300	跌	137245	-1	2	{v=56, vn=1}
-36302	跎	65536	-1	3	{x=0}
-36303	跏	65536	-1	3	{x=0}
-36305	跑	164993	-1	2	{ng=0, v=77, vn=0}
-36310	跖	65536	-1	3	{n=0}
-36311	跗	117029	-1	1	null
-36314	跚	65536	-1	3	{x=0}
-36315	跛	132411	-1	1	null
-36317	距	124627	-1	2	{p=23, v=9, vg=6}
-36318	跞	65536	-1	3	{x=0}
-36319	跟	142205	-1	2	{c=0, p=33, v=27}
-36323	跣	65536	-1	3	{n=0}
-36324	跤	65536	-1	3	{ng=6}
-36328	跨	142961	-1	2	{ng=0, v=124, vn=0}
-36330	跪	136277	-1	2	{v=7}
-36331	跫	65536	-1	3	{x=0}
-36332	跬	65536	-1	3	{n=0}
-36335	路	182158	-1	2	{n=203, nr=0, q=21, v=0}
-36339	跳	162853	-1	2	{q=0, v=30, vn=0}
-36341	践	123487	-1	2	{vg=2}
-36343	跷	119564	-1	2	{v=0}
-36344	跸	65536	-1	3	{n=0}
-36345	跹	65536	-1	3	{x=0}
-36346	跺	122865	-1	2	{v=1}
-36347	跻	119396	-1	1	null
-36349	跽	65536	-1	3	{n=0}
-36357	踅	132545	-1	2	{v=0}
-36361	踉	119630	-1	1	null
-36362	踊	119641	-1	1	null
-36364	踌	119449	-1	1	null
-36367	踏	144836	-1	2	{v=40}
-36372	踔	65536	-1	3	{n=0}
-36381	踝	132581	-1	1	null
-36382	踞	65536	-1	3	{vg=35}
-36383	踟	119491	-1	1	null
-36386	踢	130851	-1	2	{v=10}
-36387	踣	65536	-1	3	{n=0}
-36393	踩	128261	-1	2	{v=12}
-36394	踪	131529	-1	2	{ng=2}
-36396	踬	65536	-1	3	{vg=0}
-36398	踮	65536	-1	3	{v=0}
-36399	踯	119480	-1	1	null
-36401	踱	129936	-1	2	{v=1}
-36405	踵	65536	-1	3	{n=0}
-36409	踹	65536	-1	3	{v=2}
-36410	踺	132606	-1	1	null
-36413	踽	119571	-1	1	null
-36416	蹀	65536	-1	3	{n=0}
-36417	蹁	65536	-1	3	{n=0}
-36418	蹂	119490	-1	1	null
-36420	蹄	132613	-1	2	{ng=1}
-36423	蹇	65536	-1	3	{ag=0, nr=0}
-36424	蹈	131867	-1	2	{vg=1}
-36425	蹉	119695	-1	1	null
-36426	蹊	131557	-1	1	null
-36427	蹋	65536	-1	3	{v=0}
-36433	蹑	131327	-1	2	{v=0}
-36434	蹒	119713	-1	1	null
-36441	蹙	125565	-1	2	{vg=1}
-36454	蹦	119590	-1	2	{v=1}
-36457	蹩	123007	-1	1	null
-36460	蹬	130904	-1	2	{v=1}
-36461	蹭	65536	-1	3	{v=1}
-36463	蹯	65536	-1	3	{n=0}
-36464	蹰	65536	-1	3	{x=0}
-36466	蹲	135916	-1	2	{v=17}
-36468	蹴	65536	-1	3	{n=0}
-36470	蹶	65536	-1	3	{n=0}
-36476	蹼	128222	-1	2	{n=0}
-36479	蹿	65536	-1	3	{v=2}
-36481	躁	134937	-1	2	{ag=0, v=0}
-36485	躅	65536	-1	3	{x=0}
-36487	躇	65536	-1	3	{x=0}
-36495	躏	65536	-1	3	{x=0}
-36496	躐	65536	-1	3	{n=0}
-36500	躔	65536	-1	3	{n=0}
-36508	躜	65536	-1	3	{n=0}
-36510	躞	65536	-1	3	{x=0}
-36523	身	184534	-1	2	{ng=53, q=13}
-36524	躬	121463	-1	2	{ng=0, vg=2}
-36527	躯	136015	-1	2	{ng=2}
-36530	躲	135928	-1	2	{v=9}
-36538	躺	135832	-1	2	{v=17}
-36710	车	186028	-1	2	{j=0, n=121, nr=0, q=9, v=1}
-36711	轧	135366	-1	2	{o=0, v=6, vn=1}
-36712	轨	129928	-1	2	{ng=2}
-36713	轩	130485	-1	2	{ng=0, nr=0}
-36715	轫	65536	-1	3	{n=0}
-36716	转	191098	-1	2	{j=1, ng=1, q=0, v=68, vd=0, vn=0}
-36717	轭	65536	-1	3	{n=0}
-36718	轮	177284	-1	2	{n=1, ng=1, q=108, v=4, vd=0}
-36719	软	185116	-1	2	{a=9, ad=0, j=0, ng=0}
-36720	轰	136673	-1	2	{o=0, v=2}
-36721	轱	119891	-1	1	null
-36722	轲	65536	-1	3	{x=0}
-36723	轳	65536	-1	3	{x=0}
-36724	轴	135382	-1	2	{n=0, q=0}
-36725	轵	65536	-1	3	{n=0}
-36726	轶	136551	-1	1	null
-36727	轷	65536	-1	3	{n=0}
-36728	轸	65536	-1	3	{n=0}
-36729	轹	65536	-1	3	{n=0}
-36730	轺	65536	-1	3	{n=0}
-36731	轻	182544	-1	2	{a=24, ad=5, an=0, d=0, j=1, v=3, vg=0}
-36732	轼	65536	-1	3	{n=0}
-36733	载	149529	-1	2	{c=0, n=1, ng=0, nr=0, q=7, v=27, vg=0, vn=0}
-36734	轾	65536	-1	3	{x=0}
-36735	轿	133985	-1	2	{j=0, ng=1}
-36737	辁	65536	-1	3	{n=0}
-36738	辂	65536	-1	3	{n=0}
-36739	较	136790	-1	2	{a=0, d=473, p=24, v=0, vg=0}
-36740	辄	65536	-1	3	{dg=0}
-36741	辅	137938	-1	2	{ng=1, vg=3}
-36742	辆	129415	-1	2	{q=89}
-36743	辇	65536	-1	3	{n=0}
-36744	辈	135900	-1	2	{n=2, q=2}
-36745	辉	138357	-1	2	{ng=1, nr=1}
-36746	辊	133485	-1	1	null
-36747	辋	65536	-1	3	{n=0}
-36749	辍	133465	-1	2	{vg=1}
-36750	辎	119539	-1	1	null
-36751	辏	65536	-1	3	{ng=0}
-36752	辐	133312	-1	2	{ng=0}
-36753	辑	132460	-1	2	{q=2, vg=0}
-36755	输	151607	-1	2	{v=20}
-36756	辔	134051	-1	1	null
-36757	辕	118514	-1	1	null
-36758	辖	135843	-1	2	{v=8}
-36759	辗	120172	-1	1	null
-36760	辘	120174	-1	1	null
-36761	辙	135424	-1	2	{n=0}
-36762	辚	65536	-1	3	{x=0}
-36763	辛	164289	-1	2	{nr=1}
-36764	辜	120807	-1	2	{nr=0}
-36766	辞	154552	-1	2	{ng=0, v=6}
-36767	辟	121069	-1	2	{v=10, vg=0}
-36771	辣	137941	-1	2	{a=1, an=1, v=0}
-36776	辨	136963	-1	2	{vg=2}
-36777	辩	134873	-1	2	{vg=1}
-36779	辫	133608	-1	2	{ng=0}
-36784	辰	136201	-1	2	{mg=1, ng=0}
-36785	辱	129185	-1	2	{ng=1, vg=0}
-36793	边	171851	-1	2	{d=55, j=1, k=30, n=11, nr=0, q=0}
-36797	辽	145080	-1	2	{j=6, tg=0}
-36798	达	159380	-1	2	{j=0, nr=0, v=648}
-36801	迁	138420	-1	2	{v=21}
-36802	迂	136024	-1	2	{a=0, an=0}
-36804	迄	136962	-1	2	{d=0, v=0, vg=1}
-36805	迅	135783	-1	2	{ag=0}
-36807	过	190192	-1	2	{d=82, h=0, n=0, ng=8, nr=0, ug=449, v=290, vn=0}
-36808	迈	136584	-1	2	{q=0, v=19}
-36814	迎	153944	-1	2	{v=104, vn=0}
-36816	运	161375	-1	2	{ng=1, nr=0, v=49, vn=0}
-36817	近	178502	-1	2	{a=532, ad=1, d=1, j=1, ng=1, t=7, tg=0, v=23}
-36819	迓	65536	-1	3	{n=0}
-36820	返	148714	-1	2	{v=9}
-36821	迕	65536	-1	3	{n=0}
-36824	还	165951	-1	2	{c=0, d=1529, nr=0, v=38, vn=0}
-36825	这	160914	-1	2	{r=3198}
-36827	进	185223	-1	2	{j=0, q=0, v=383, vn=3}
-36828	远	185725	-1	2	{a=71, ad=20, ng=0}
-36829	违	144483	-1	2	{vg=2}
-36830	连	187115	-1	2	{d=23, j=0, n=22, nr=0, p=7, u=94, v=20}
-36831	迟	137192	-1	2	{a=7, ad=2, nr=0}
-36834	迢	121008	-1	1	null
-36836	迤	65536	-1	3	{x=0}
-36837	迥	133542	-1	2	{ad=0, ag=0}
-36838	迦	65536	-1	3	{n=0}
-36840	迨	65536	-1	3	{n=0}
-36841	迩	65536	-1	3	{n=0}
-36842	迪	133774	-1	2	{nr=0}
-36843	迫	139324	-1	2	{ag=0, vg=5}
-36845	迭	136906	-1	2	{d=1, vg=0}
-36846	迮	65536	-1	3	{nr=0}
-36848	述	136431	-1	2	{vg=4}
-36855	迷	165684	-1	2	{ng=0, v=6}
-36856	迸	136499	-1	2	{v=0}
-36857	迹	135635	-1	2	{ng=1}
-36861	追	178942	-1	2	{v=25}
-36864	退	186604	-1	2	{j=1, v=37, vn=0}
-36865	送	179744	-1	2	{v=487, vn=0}
-36866	适	157494	-1	2	{ag=1, vg=0}
-36867	逃	160766	-1	2	{v=6, vn=0}
-36868	逄	65536	-1	3	{nr=0, nt=1}
-36869	逅	65536	-1	3	{x=0}
-36870	逆	168263	-1	2	{ng=0, vg=2}
-36873	选	186498	-1	2	{ng=0, v=47, vd=0, vn=0}
-36874	逊	137412	-1	2	{ag=0, vg=1}
-36875	逋	65536	-1	3	{n=0}
-36877	逍	121256	-1	1	null
-36879	透	159194	-1	2	{a=6, an=0, v=11}
-36880	逐	163177	-1	2	{v=0, vg=5}
-36881	逑	65536	-1	3	{n=0}
-36882	递	144579	-1	2	{v=6}
-36884	途	138300	-1	2	{ng=2}
-36886	逖	65536	-1	3	{n=0}
-36887	逗	144473	-1	2	{v=0}
-36890	通	192588	-1	2	{a=11, ad=0, j=0, ng=1, nr=0, q=3, v=39, vd=2, vg=0}
-36891	逛	124856	-1	2	{v=15}
-36893	逝	138503	-1	2	{vg=5}
-36894	逞	137542	-1	2	{vg=0}
-36895	速	144956	-1	2	{ad=0, ag=1, d=0, ng=13, vg=0}
-36896	造	171941	-1	2	{v=28, vn=0}
-36897	逡	65536	-1	3	{n=0}
-36898	逢	137583	-1	2	{nr=0, v=14}
-36902	逦	65536	-1	3	{x=0}
-36909	逭	65536	-1	3	{vg=0}
-36910	逮	133146	-1	2	{v=0}
-36911	逯	65536	-1	3	{nr=0}
-36917	逵	65536	-1	3	{n=0}
-36918	逶	121740	-1	1	null
-36920	逸	138540	-1	2	{ag=2, vg=0}
-36923	逻	121825	-1	1	null
-36924	逼	139086	-1	2	{v=19, vd=0}
-36926	逾	132198	-1	2	{dg=5, v=1, vg=27}
-36929	遁	137762	-1	2	{vg=0}
-36930	遂	136474	-1	2	{d=5, v=0, vg=1}
-36932	遄	65536	-1	3	{n=0}
-36935	遇	139328	-1	2	{v=35}
-36941	遍	138335	-1	2	{a=1, d=2, q=32, v=11}
-36943	遏	137598	-1	2	{vg=0}
-36944	遐	134041	-1	2	{ag=0}
-36945	遑	65536	-1	3	{ag=1}
-36946	遒	137475	-1	1	null
-36947	道	184399	-1	2	{j=1, n=26, ng=1, q=82, v=54}
-36951	遗	189827	-1	2	{ng=0, vg=2}
-36952	遘	65536	-1	3	{n=0}
-36955	遛	134364	-1	2	{v=1}
-36962	遢	65536	-1	3	{x=0}
-36963	遣	132804	-1	2	{vg=0}
-36965	遥	137334	-1	2	{ag=5, ng=0}
-36968	遨	130548	-1	2	{vg=0}
-36973	遭	138433	-1	2	{q=1, v=25}
-36974	遮	139940	-1	2	{v=6, vn=0}
-36980	遴	121912	-1	1	null
-36981	遵	142481	-1	2	{nr=1, vg=1}
-36989	遽	129833	-1	1	null
-36991	避	143463	-1	2	{v=5}
-36992	邀	137743	-1	2	{v=12, vg=0, vn=2}
-36994	邂	122002	-1	1	null
-36995	邃	122058	-1	2	{ag=0}
-37000	邈	122060	-1	2	{ag=0}
-37003	邋	121931	-1	1	null
-37009	邑	65536	-1	3	{ng=0}
-37011	邓	135354	-1	2	{nr=1}
-37013	邕	136447	-1	2	{j=0}
-37015	邗	131173	-1	2	{n=0}
-37017	邙	65536	-1	3	{n=0}
-37019	邛	135108	-1	2	{n=0}
-37021	邝	65536	-1	3	{nr=0}
-37025	邡	65536	-1	3	{n=0}
-37026	邢	138930	-1	2	{nr=0}
-37027	那	176216	-1	2	{c=19, nr=0, r=437, y=0}
-37030	邦	138859	-1	2	{ng=1}
-37034	邪	139316	-1	2	{a=2, ag=0, an=1, ng=0, y=0}
-37036	邬	65536	-1	3	{nr=0}
-37038	邮	176216	-1	2	{j=0, ng=0, v=0}
-37039	邯	121871	-1	1	null
-37040	邰	65536	-1	3	{nr=0}
-37041	邱	137796	-1	2	{nr=2}
-37043	邳	134968	-1	2	{n=0}
-37044	邴	65536	-1	3	{nr=0}
-37045	邵	138994	-1	2	{nr=0}
-37046	邶	65536	-1	3	{n=0}
-37048	邸	65536	-1	3	{nr=0}
-37049	邹	136554	-1	2	{nr=0, nt=0}
-37050	邺	65536	-1	3	{n=0}
-37051	邻	141220	-1	2	{ng=0, v=1, vg=1}
-37054	邾	65536	-1	3	{n=0}
-37057	郁	138257	-1	2	{ag=0, nr=0}
-37060	郄	65536	-1	3	{nr=0}
-37061	郅	65536	-1	3	{n=0}
-37063	郇	65536	-1	3	{nr=0}
-37066	郊	137788	-1	2	{ng=0}
-37070	郎	139076	-1	2	{ng=7, nr=0}
-37071	郏	65536	-1	3	{nr=0}
-37072	郐	65536	-1	3	{n=0}
-37073	郑	135585	-1	2	{j=0, nr=4, tg=1}
-37075	郓	136605	-1	2	{n=0}
-37079	郗	65536	-1	3	{nr=0}
-37083	郛	65536	-1	3	{n=0}
-37084	郜	65536	-1	3	{nr=0}
-37085	郝	65536	-1	3	{nr=0}
-37089	郡	139059	-1	2	{n=1, ng=0}
-37090	郢	65536	-1	3	{n=0}
-37094	郦	65536	-1	3	{nr=0}
-37095	郧	137661	-1	2	{n=0}
-37096	部	158092	-1	2	{n=32, nr=0, q=149}
-37099	郫	137670	-1	1	null
-37101	郭	134922	-1	2	{nr=2}
-37103	郯	65536	-1	3	{n=0}
-37108	郴	137680	-1	2	{j=0}
-37112	郸	136647	-1	1	null
-37117	都	139974	-1	2	{d=1901, n=0, ng=5, nr=0, v=0}
-37118	郾	65536	-1	3	{n=0}
-37122	鄂	139824	-1	2	{j=5, nr=0}
-37124	鄄	136676	-1	2	{n=0}
-37145	鄙	139823	-1	2	{ag=0}
-37150	鄞	137723	-1	2	{n=0}
-37154	鄢	120647	-1	2	{nr=0}
-37155	鄣	65536	-1	3	{n=0}
-37167	鄯	137281	-1	2	{n=0}
-37169	鄱	120723	-1	1	null
-37177	鄹	65536	-1	3	{n=0}
-37187	酃	65536	-1	3	{n=0}
-37190	酆	65536	-1	3	{nr=0}
-37193	酉	120728	-1	1	null
-37194	酊	65536	-1	3	{ng=0, x=0}
-37195	酋	135361	-1	2	{ng=0}
-37196	酌	138243	-1	2	{vg=1}
-37197	配	184328	-1	2	{v=25}
-37198	酎	65536	-1	3	{n=0}
-37199	酏	65536	-1	3	{n=0}
-37200	酐	65536	-1	3	{n=0}
-37202	酒	188424	-1	2	{n=40}
-37207	酗	122110	-1	1	null
-37210	酚	122102	-1	2	{n=0}
-37213	酝	122078	-1	1	null
-37214	酞	65536	-1	3	{n=0}
-37217	酡	65536	-1	3	{vg=0}
-37218	酢	65536	-1	3	{n=0}
-37219	酣	134578	-1	2	{ag=2}
-37220	酤	65536	-1	3	{n=0}
-37221	酥	132683	-1	2	{a=1}
-37225	酩	122136	-1	1	null
-37226	酪	127312	-1	1	null
-37228	酬	138431	-1	2	{ng=0, vg=0}
-37230	酮	65536	-1	3	{n=0}
-37231	酯	65536	-1	3	{ng=0}
-37232	酰	65536	-1	3	{x=0}
-37233	酱	138220	-1	2	{n=0, v=0}
-37234	酲	65536	-1	3	{n=0}
-37236	酴	65536	-1	3	{n=0}
-37237	酵	131750	-1	1	null
-37238	酶	65536	-1	3	{n=4}
-37239	酷	139182	-1	2	{ag=0, d=0}
-37240	酸	176637	-1	2	{a=0, n=2}
-37241	酹	65536	-1	3	{vg=1}
-37245	酽	65536	-1	3	{a=0}
-37246	酾	65536	-1	3	{vg=0}
-37247	酿	138697	-1	2	{v=3}
-37253	醅	65536	-1	3	{n=0}
-37255	醇	138100	-1	2	{ag=0}
-37257	醉	141578	-1	2	{v=7, vn=0}
-37259	醋	138245	-1	2	{n=0}
-37260	醌	65536	-1	3	{n=0}
-37261	醍	122174	-1	2	{x=0}
-37264	醐	65536	-1	3	{x=0}
-37265	醑	65536	-1	3	{n=0}
-37266	醒	134922	-1	2	{ng=0, v=7, vn=0}
-37274	醚	65536	-1	3	{n=0}
-37275	醛	65536	-1	3	{n=0}
-37282	醢	65536	-1	3	{n=0}
-37290	醪	127478	-1	1	null
-37293	醭	65536	-1	3	{n=0}
-37294	醮	65536	-1	3	{n=0}
-37295	醯	65536	-1	3	{n=0}
-37300	醴	120932	-1	1	null
-37301	醵	65536	-1	3	{n=0}
-37306	醺	65536	-1	3	{n=0}
-37319	采	175070	-1	2	{ng=0, v=10, vn=0}
-37321	釉	136414	-1	2	{n=0}
-37322	释	142455	-1	2	{ng=0, vg=0}
-37324	里	155321	-1	2	{f=796, q=90, s=0}
-37325	重	195686	-1	2	{a=83, an=0, d=36, j=1, ng=0, q=6, v=28, vg=1}
-37326	野	184636	-1	2	{a=3, ad=0, an=0, b=6, ng=0, nr=0}
-37327	量	156354	-1	2	{n=21, v=4}
-37329	金	197058	-1	2	{b=34, j=7, n=0, ng=34, nr=0, tg=0}
-37340	釜	136476	-1	1	null
-37492	鉴	140558	-1	2	{ng=1, nr=0, vg=1}
-37518	銎	65536	-1	3	{n=0}
-37550	銮	65536	-1	3	{n=0}
-37576	鋈	65536	-1	3	{n=0}
-37694	錾	139184	-1	2	{v=0}
-37738	鍪	65536	-1	3	{x=0}
-37775	鎏	65536	-1	3	{n=0}
-37834	鏊	136787	-1	1	null
-37846	鏖	135053	-1	1	null
-37950	鐾	65536	-1	3	{n=0}
-37995	鑫	124332	-1	2	{nr=0}
-38022	钆	65536	-1	3	{n=0}
-38023	钇	65536	-1	3	{n=0}
-38024	针	150806	-1	2	{n=10, q=0}
-38025	钉	140447	-1	2	{ng=0, v=6}
-38026	钊	65536	-1	3	{n=0}
-38027	钋	65536	-1	3	{ng=0}
-38028	钌	122101	-1	1	null
-38029	钍	65536	-1	3	{ng=0}
-38030	钎	136837	-1	2	{ng=2}
-38031	钏	65536	-1	3	{nr=0}
-38032	钐	65536	-1	3	{n=0}
-38034	钒	65536	-1	3	{n=0}
-38035	钓	140545	-1	2	{v=0}
-38036	钔	65536	-1	3	{n=0}
-38037	钕	122144	-1	2	{n=0}
-38039	钗	137395	-1	2	{ng=0}
-38041	钙	138966	-1	2	{n=1}
-38042	钚	65536	-1	3	{n=0}
-38043	钛	65536	-1	3	{n=0}
-38044	钜	65536	-1	3	{n=0}
-38045	钝	124953	-1	2	{a=0}
-38046	钞	129158	-1	2	{ng=1}
-38047	钟	162155	-1	2	{n=11, nr=1}
-38048	钠	132633	-1	2	{n=1}
-38049	钡	121094	-1	2	{n=0}
-38050	钢	186322	-1	2	{n=6, nr=0, v=0}
-38051	钣	65536	-1	3	{n=0}
-38052	钤	65536	-1	3	{vg=0}
-38053	钥	139049	-1	2	{ng=0}
-38054	钦	140037	-1	2	{j=0, ng=0, nr=0, vg=0}
-38055	钧	65536	-1	3	{q=0}
-38056	钨	140366	-1	2	{n=1}
-38057	钩	137123	-1	2	{n=3, v=0}
-38058	钪	65536	-1	3	{n=0}
-38059	钫	65536	-1	3	{n=0}
-38060	钬	65536	-1	3	{ng=0}
-38061	钭	65536	-1	3	{nr=0}
-38062	钮	135149	-1	2	{nr=0}
-38063	钯	65536	-1	3	{n=0}
-38064	钰	65536	-1	3	{n=0}
-38065	钱	150824	-1	2	{n=333, nr=0, q=0}
-38066	钲	65536	-1	3	{n=0}
-38067	钳	139313	-1	2	{ng=0, v=0}
-38068	钴	127343	-1	2	{ng=2}
-38069	钵	137539	-1	2	{ng=2}
-38071	钷	65536	-1	3	{n=0}
-38073	钹	65536	-1	3	{n=0}
-38074	钺	65536	-1	3	{ng=0}
-38075	钻	155930	-1	2	{v=23, vn=0}
-38076	钼	129698	-1	2	{ng=0}
-38077	钽	65536	-1	3	{ng=0}
-38078	钾	130010	-1	2	{n=1}
-38079	钿	65536	-1	3	{n=0}
-38080	铀	129691	-1	2	{n=6}
-38081	铁	194071	-1	2	{j=3, n=8, nr=0, v=0, vd=0}
-38082	铂	65536	-1	3	{n=0}
-38083	铃	139893	-1	2	{ng=1, o=0}
-38084	铄	129908	-1	1	null
-38085	铅	157177	-1	2	{n=5}
-38086	铆	139493	-1	2	{ng=0, vg=1}
-38088	铈	65536	-1	3	{n=0}
-38089	铉	65536	-1	3	{n=0}
-38090	铊	65536	-1	3	{n=0}
-38091	铋	65536	-1	3	{n=0}
-38092	铌	65536	-1	3	{ng=0}
-38093	铍	65536	-1	3	{n=0}
-38094	铎	65536	-1	3	{nr=0}
-38096	铐	65536	-1	3	{v=0}
-38097	铑	65536	-1	3	{n=0}
-38098	铒	65536	-1	3	{n=0}
-38101	铕	65536	-1	3	{n=0}
-38102	铖	65536	-1	3	{n=0}
-38103	铗	65536	-1	3	{n=0}
-38104	铘	65536	-1	3	{x=0}
-38105	铙	65536	-1	3	{nr=0}
-38107	铛	65536	-1	3	{o=0}
-38108	铜	183537	-1	2	{j=6, n=20}
-38109	铝	147583	-1	2	{n=0}
-38110	铞	65536	-1	3	{x=0}
-38111	铟	65536	-1	3	{n=0}
-38112	铠	130712	-1	1	null
-38113	铡	139723	-1	2	{v=1}
-38114	铢	65536	-1	3	{n=3, q=20}
-38115	铣	139729	-1	2	{vg=0}
-38116	铤	127937	-1	1	null
-38117	铥	65536	-1	3	{n=0}
-38119	铧	65536	-1	3	{x=0}
-38120	铨	65536	-1	3	{n=0}
-38121	铩	128021	-1	2	{n=0}
-38122	铪	65536	-1	3	{n=0}
-38123	铫	65536	-1	3	{n=0}
-38124	铬	122688	-1	2	{n=1, ng=1}
-38125	铭	139769	-1	2	{ng=1, vg=0}
-38126	铮	122635	-1	1	null
-38127	铯	65536	-1	3	{n=0}
-38128	铰	122626	-1	2	{v=0}
-38129	铱	134632	-1	2	{n=0, ng=2}
-38130	铲	139877	-1	2	{ng=1, v=3}
-38131	铳	65536	-1	3	{ng=1}
-38132	铴	122610	-1	1	null
-38133	铵	130375	-1	1	null
-38134	银	191347	-1	2	{b=4, j=7, n=1, ng=20, nr=0}
-38135	铷	65536	-1	3	{n=0}
-38136	铸	140826	-1	2	{v=9, vn=0}
-38137	铹	65536	-1	3	{n=0}
-38138	铺	172556	-1	2	{n=0, q=0, v=21}
-38140	铼	65536	-1	3	{n=0}
-38141	铽	65536	-1	3	{n=0}
-38142	链	137807	-1	2	{ng=1, q=0}
-38143	铿	122683	-1	2	{o=0}
-38144	销	143672	-1	2	{j=1, ng=0, v=27, vn=0}
-38145	锁	142000	-1	2	{n=2, v=17}
-38146	锂	65536	-1	3	{n=1, ng=0}
-38147	锃	140775	-1	1	null
-38148	锄	138086	-1	2	{ng=0, v=1}
-38149	锅	140423	-1	2	{n=19, q=0}
-38150	锆	139670	-1	1	null
-38151	锇	65536	-1	3	{n=0}
-38152	锈	134955	-1	2	{n=0, v=0}
-38153	锉	139945	-1	2	{n=0, v=0}
-38155	锋	140031	-1	2	{ag=0, ng=1, nr=1}
-38156	锌	131684	-1	2	{n=1}
-38157	锍	65536	-1	3	{n=0}
-38158	锎	65536	-1	3	{n=0}
-38159	锏	65536	-1	3	{n=0}
-38160	锐	141171	-1	2	{a=1, ag=1, nr=1}
-38161	锑	139657	-1	2	{ng=1}
-38162	锒	122880	-1	1	null
-38163	锓	65536	-1	3	{n=0}
-38164	锔	65536	-1	3	{n=0}
-38165	锕	65536	-1	3	{n=0}
-38166	锖	65536	-1	3	{x=0}
-38167	锗	65536	-1	3	{n=0}
-38168	锘	65536	-1	3	{n=0}
-38169	错	155596	-1	2	{a=2, n=6, v=5, vd=2, vn=0}
-38170	锚	138823	-1	2	{n=0}
-38171	锛	137638	-1	2	{v=0}
-38173	锝	65536	-1	3	{n=0}
-38174	锞	65536	-1	3	{n=0}
-38175	锟	65536	-1	3	{n=0}
-38177	锡	142240	-1	2	{j=1, n=2}
-38178	锢	65536	-1	3	{n=0}
-38179	锣	120305	-1	2	{n=1}
-38180	锤	138222	-1	2	{ng=4, q=1}
-38181	锥	137685	-1	2	{ng=0, v=0}
-38182	锦	149770	-1	2	{ag=2, j=0, ng=2}
-38184	锨	65536	-1	3	{n=0, ng=1}
-38185	锩	65536	-1	3	{v=0}
-38186	锪	65536	-1	3	{v=0}
-38187	锫	65536	-1	3	{n=0}
-38188	锬	65536	-1	3	{n=0}
-38189	锭	137695	-1	2	{ng=3, q=6}
-38190	键	140830	-1	2	{n=0, ng=0, nr=0}
-38191	锯	140232	-1	2	{n=0, v=3}
-38192	锰	130373	-1	2	{n=1}
-38193	锱	122977	-1	2	{n=0}
-38194	锲	128320	-1	1	null
-38196	锴	65536	-1	3	{n=0}
-38197	锵	65536	-1	3	{o=0}
-38198	锶	65536	-1	3	{ng=0}
-38199	锷	65536	-1	3	{n=0}
-38200	锸	65536	-1	3	{n=0}
-38201	锹	65536	-1	3	{n=1, q=0}
-38202	锺	65536	-1	3	{nr=0}
-38203	锻	141090	-1	2	{vg=0}
-38206	锾	65536	-1	3	{q=0}
-38207	锿	65536	-1	3	{n=0}
-38208	镀	137675	-1	2	{v=2}
-38209	镁	140320	-1	2	{n=0}
-38210	镂	140079	-1	1	null
-38212	镄	65536	-1	3	{n=0}
-38213	镅	65536	-1	3	{n=0}
-38214	镆	65536	-1	3	{x=0}
-38215	镇	173514	-1	2	{n=62, v=1}
-38217	镉	65536	-1	3	{n=0, ng=2}
-38218	镊	137794	-1	2	{v=0}
-38220	镌	140129	-1	2	{vg=0}
-38221	镍	137125	-1	2	{n=1}
-38222	镎	65536	-1	3	{n=0}
-38223	镏	123855	-1	1	null
-38224	镐	138350	-1	2	{n=0, ng=0}
-38225	镑	65536	-1	3	{q=2}
-38226	镒	65536	-1	3	{q=0}
-38227	镓	65536	-1	3	{n=0}
-38228	镔	123111	-1	1	null
-38230	镖	137757	-1	2	{n=0}
-38231	镗	136996	-1	2	{o=0}
-38232	镘	65536	-1	3	{n=0}
-38235	镛	65536	-1	3	{n=0}
-38236	镜	151894	-1	2	{ng=3}
-38237	镝	65536	-1	3	{n=0}
-38238	镞	65536	-1	3	{ng=0}
-38241	镡	65536	-1	3	{nr=0}
-38242	镢	138374	-1	1	null
-38243	镣	123117	-1	1	null
-38244	镤	65536	-1	3	{n=0}
-38245	镥	65536	-1	3	{n=0}
-38246	镦	65536	-1	3	{n=0}
-38247	镧	129222	-1	1	null
-38248	镨	65536	-1	3	{n=0}
-38249	镩	65536	-1	3	{n=0}
-38250	镪	133523	-1	1	null
-38251	镫	65536	-1	3	{n=0}
-38252	镬	65536	-1	3	{n=0}
-38253	镭	137669	-1	2	{n=0}
-38255	镯	137852	-1	1	null
-38256	镰	140237	-1	2	{ng=2}
-38257	镱	65536	-1	3	{n=0}
-38258	镲	65536	-1	3	{n=0}
-38259	镳	65536	-1	3	{n=0}
-38262	镶	140190	-1	2	{v=5}
-38271	长	198577	-1	2	{a=256, ad=6, an=0, d=0, j=6, k=2, ng=11, v=39}
-38376	门	193135	-1	2	{j=0, n=64, nr=0, q=23}
-38377	闩	65536	-1	3	{n=0, v=0}
-38378	闪	147372	-1	2	{v=10}
-38379	闫	65536	-1	3	{nr=1}
-38381	闭	149014	-1	2	{v=9}
-38382	问	174134	-1	2	{ng=2, nr=0, v=148, vn=0}
-38383	闯	141862	-1	2	{nr=0, v=29}
-38384	闰	137449	-1	2	{b=0, nr=0}
-38385	闱	65536	-1	3	{n=0}
-38386	闲	178419	-1	2	{a=1, ad=0, an=0, v=3}
-38387	闳	65536	-1	3	{n=0}
-38388	间	156852	-1	2	{f=204, n=0, ng=0, q=57, v=1}
-38389	闵	126783	-1	2	{nr=0}
-38390	闶	65536	-1	3	{x=0}
-38391	闷	145152	-1	2	{a=0, v=2}
-38392	闸	140963	-1	2	{n=5, v=0}
-38393	闹	180254	-1	2	{a=0, v=27}
-38394	闺	138870	-1	1	null
-38395	闻	143139	-1	2	{ng=0, nr=0, v=16, vn=0}
-38396	闼	65536	-1	3	{n=0}
-38397	闽	141970	-1	2	{j=4}
-38398	闾	65536	-1	3	{nr=0}
-38400	阀	137583	-1	2	{n=1}
-38401	阁	141840	-1	2	{ng=1}
-38402	阂	65536	-1	3	{vg=1}
-38403	阃	65536	-1	3	{n=0}
-38404	阄	65536	-1	3	{ng=0}
-38405	阅	141263	-1	2	{vg=1}
-38406	阆	65536	-1	3	{x=0}
-38408	阈	141290	-1	1	null
-38409	阉	141677	-1	2	{v=0}
-38410	阊	65536	-1	3	{x=0}
-38411	阋	65536	-1	3	{n=0}
-38412	阌	65536	-1	3	{n=0}
-38413	阍	65536	-1	3	{ng=0}
-38414	阎	138378	-1	2	{nr=0}
-38415	阏	65536	-1	3	{x=0}
-38416	阐	140380	-1	2	{vg=0}
-38417	阑	138226	-1	2	{ng=0}
-38418	阒	138357	-1	2	{n=0}
-38420	阔	142635	-1	2	{a=1}
-38421	阕	65536	-1	3	{q=1}
-38422	阖	138388	-1	1	null
-38423	阗	65536	-1	3	{n=0}
-38425	阙	138968	-1	2	{ng=0, nr=0, q=0}
-38426	阚	65536	-1	3	{nr=0}
-38428	阜	140902	-1	1	null
-38431	队	158254	-1	2	{n=83, q=13, v=0}
-38433	阡	123429	-1	1	null
-38434	阢	65536	-1	3	{x=0}
-38446	阮	65536	-1	3	{nr=0}
-38449	阱	65536	-1	3	{n=0}
-38450	防	195603	-1	2	{ng=0, v=17, vn=0}
-38451	阳	172102	-1	2	{ag=3, b=3, j=0, ng=3, nr=0}
-38452	阴	190380	-1	2	{a=10, ad=0, b=2, ng=0, nr=0}
-38453	阵	156054	-1	2	{ng=8, q=1}
-38454	阶	142416	-1	2	{ng=0}
-38459	阻	157026	-1	2	{v=0, vg=0}
-38460	阼	65536	-1	3	{n=0}
-38461	阽	65536	-1	3	{n=0}
-38463	阿	192963	-1	2	{h=0, j=94}
-38464	陀	127920	-1	1	null
-38466	陂	65536	-1	3	{x=0}
-38468	附	167830	-1	2	{n=0, v=294}
-38469	际	125752	-1	2	{ng=1, vg=0}
-38470	陆	162369	-1	2	{j=0, m=0, ng=2, nr=0}
-38471	陇	142735	-1	2	{j=1}
-38472	陈	168642	-1	2	{a=0, nr=14, nt=0, tg=0, vg=2}
-38473	陉	65536	-1	3	{n=0}
-38475	陋	142794	-1	2	{ag=0}
-38476	陌	132785	-1	2	{ag=0}
-38477	降	175280	-1	2	{v=92, vg=0, vn=1}
-38480	限	148848	-1	2	{ng=0, v=6, vn=0}
-38484	陔	65536	-1	3	{n=0}
-38485	陕	141671	-1	2	{j=2, nr=0}
-38491	陛	142841	-1	1	null
-38495	陟	65536	-1	3	{n=0}
-38497	陡	140550	-1	2	{a=4, ad=0}
-38498	院	155506	-1	2	{j=0, n=35, ng=1}
-38500	除	178257	-1	2	{f=0, p=91, v=16}
-38503	陧	65536	-1	3	{x=0}
-38504	陨	136751	-1	2	{vg=0}
-38505	险	162198	-1	2	{a=16, ad=0, ng=4}
-38506	陪	145125	-1	2	{v=13}
-38508	陬	65536	-1	3	{n=0}
-38514	陲	65536	-1	3	{n=0}
-38516	陴	65536	-1	3	{n=0}
-38517	陵	140672	-1	2	{ng=1}
-38518	陶	157132	-1	2	{ag=1, nr=1, nt=0, vg=0}
-38519	陷	143103	-1	2	{v=5}
-38533	隅	65536	-1	3	{ng=0}
-38534	隆	143921	-1	2	{ag=0, nr=0}
-38536	隈	65536	-1	3	{n=0}
-38539	隋	141170	-1	2	{nr=0, tg=1}
-38541	隍	65536	-1	3	{n=0}
-38543	随	191026	-1	2	{d=0, dg=6, j=0, p=25, v=34}
-38544	隐	188796	-1	2	{v=0, vg=0}
-38548	隔	161516	-1	2	{ng=0, v=25, vn=1}
-38551	隗	65536	-1	3	{nr=0}
-38552	隘	141643	-1	2	{ng=0}
-38553	隙	140794	-1	2	{ng=0}
-38556	障	142976	-1	2	{ng=0}
-38567	隧	135190	-1	2	{ng=0}
-38576	隰	65536	-1	3	{n=0}
-38579	隳	65536	-1	3	{n=0}
-38582	隶	143071	-1	2	{j=0, ng=0}
-38585	隹	65536	-1	3	{n=0}
-38588	隼	65536	-1	3	{n=0}
-38589	隽	135425	-1	2	{x=0}
-38590	难	191232	-1	2	{a=137, ad=62, an=1, d=5, j=0, ng=10, v=1, vn=1}
-38592	雀	139207	-1	2	{ng=1}
-38593	雁	144903	-1	2	{n=4, nr=0}
-38596	雄	181066	-1	2	{ag=1, b=1, ng=2, nr=0}
-38597	雅	177587	-1	2	{ag=5, dg=1}
-38598	集	183623	-1	2	{ng=5, q=26, vg=26}
-38599	雇	143378	-1	2	{v=5}
-38601	雉	122910	-1	2	{ng=0}
-38604	雌	138879	-1	2	{b=2}
-38605	雍	141783	-1	2	{j=0, nr=0}
-38606	雎	65536	-1	3	{n=0}
-38607	雏	142742	-1	2	{ng=0}
-38610	雒	65536	-1	3	{nr=0}
-38613	雕	146498	-1	2	{ng=1, v=2}
-38624	雠	65536	-1	3	{n=0}
-38632	雨	181869	-1	2	{n=51, nr=0, vg=0}
-38633	雩	65536	-1	3	{n=0}
-38634	雪	193602	-1	2	{n=119, ng=1, nr=0, vg=0}
-38639	雯	65536	-1	3	{nr=0}
-38643	雳	65536	-1	3	{x=0}
-38646	零	186833	-1	2	{a=0, j=0, m=27, ng=0}
-38647	雷	175194	-1	2	{n=3, nr=0}
-38649	雹	140215	-1	2	{ng=0}
-38654	雾	142664	-1	2	{n=13}
-38656	需	135982	-1	2	{ng=0, v=73, vg=1, vn=2}
-38657	霁	65536	-1	3	{vg=1}
-38660	霄	140887	-1	2	{nr=0}
-38662	霆	65536	-1	3	{n=0}
-38663	震	166751	-1	2	{ng=3, nr=0, v=8, vn=1}
-38664	霈	65536	-1	3	{n=0}
-38665	霉	142818	-1	2	{n=0, v=0}
-38669	霍	143705	-1	2	{j=0, nr=0}
-38670	霎	137604	-1	1	null
-38671	霏	125039	-1	1	null
-38675	霓	129293	-1	1	null
-38678	霖	125085	-1	2	{nr=0}
-38684	霜	142978	-1	2	{n=6, nr=0}
-38686	霞	142915	-1	2	{n=0, ng=2, nr=0}
-38698	霪	65536	-1	3	{x=0}
-38701	霭	125026	-1	2	{ng=1}
-38704	霰	139356	-1	1	null
-38706	露	167471	-1	2	{ng=1, v=11}
-38712	霸	143725	-1	2	{n=0, ng=0, vg=2}
-38713	霹	125144	-1	1	null
-38718	霾	65536	-1	3	{n=0}
-38738	青	196964	-1	2	{a=12, j=1, ng=1, nr=1}
-38739	靓	65536	-1	3	{n=0}
-38742	靖	136220	-1	2	{j=0, nr=0}
-38745	静	180291	-1	2	{a=4, ad=1, an=0, nr=0, v=2, vg=0}
-38747	靛	130012	-1	1	null
-38750	非	198031	-1	2	{b=1, d=29, h=42, j=6, ng=0, vg=14}
-38752	靠	157749	-1	2	{ng=0, p=44, v=124, vn=0}
-38753	靡	128130	-1	2	{ag=0, vg=1}
-38754	面	193973	-1	2	{f=7, n=43, q=43, v=0, vg=1}
-38757	靥	65536	-1	3	{n=0}
-38761	革	144933	-1	2	{vg=1}
-38771	靳	144441	-1	2	{nr=0}
-38772	靴	141045	-1	2	{ng=0}
-38774	靶	142105	-1	2	{ng=0, p=0, q=0}
-38780	靼	65536	-1	3	{x=0}
-38789	鞅	65536	-1	3	{x=0}
-38795	鞋	165099	-1	2	{n=9}
-38797	鞍	143456	-1	2	{ng=0}
-38801	鞑	125662	-1	1	null
-38802	鞒	65536	-1	3	{n=0}
-38804	鞔	65536	-1	3	{v=0}
-38808	鞘	131736	-1	1	null
-38816	鞠	127923	-1	2	{nr=0, vg=0}
-38819	鞣	138445	-1	2	{v=0}
-38827	鞫	65536	-1	3	{n=0}
-38829	鞭	141216	-1	2	{n=0, ng=1, v=0}
-38831	鞯	65536	-1	3	{x=0}
-38834	鞲	65536	-1	3	{x=0}
-38836	鞴	65536	-1	3	{x=0}
-38886	韦	140945	-1	2	{nr=0}
-38887	韧	143358	-1	2	{ag=0}
-38889	韩	144362	-1	2	{j=25, nr=18}
-38890	韪	65536	-1	3	{x=0}
-38891	韫	65536	-1	3	{n=0}
-38892	韬	143709	-1	1	null
-38893	韭	131070	-1	1	null
-38899	音	195211	-1	2	{n=6}
-38901	韵	144621	-1	2	{n=3}
-38902	韶	143791	-1	2	{j=0, nr=0}
-39029	页	141069	-1	2	{ng=0, q=15}
-39030	顶	188809	-1	2	{d=1, f=2, ng=2, q=21, v=31}
-39031	顷	143561	-1	2	{dg=0, q=1}
-39033	项	142647	-1	2	{n=0, ng=7, nr=0, q=563}
-39034	顺	191717	-1	2	{a=6, ad=0, j=0, ng=0, v=3, vd=0}
-39035	须	143299	-1	2	{d=37, ng=1, nr=0, v=1, vg=4}
-39036	顼	65536	-1	3	{n=0}
-39037	顽	146823	-1	2	{ag=1}
-39038	顾	158571	-1	2	{ng=0, nr=0, v=16}
-39039	顿	144731	-1	2	{d=0, dg=5, nr=0, q=14, v=0, vg=0}
-39040	颀	126534	-1	1	null
-39041	颁	143385	-1	2	{vg=2}
-39042	颂	143342	-1	2	{v=1, vg=4}
-39043	颃	65536	-1	3	{x=0}
-39044	预	193719	-1	2	{d=7, j=0, vg=1}
-39045	颅	131867	-1	2	{ng=0}
-39046	领	188356	-1	2	{ng=2, q=0, v=36}
-39047	颇	144897	-1	2	{d=80}
-39048	颈	144049	-1	2	{ng=0}
-39049	颉	65536	-1	3	{nr=0}
-39050	颊	144956	-1	2	{ng=0}
-39052	颌	144949	-1	1	null
-39053	颍	65536	-1	3	{n=0}
-39055	颏	65536	-1	3	{ng=1, x=0}
-39056	颐	144924	-1	1	null
-39057	频	146156	-1	2	{ag=2, dg=0, ng=0}
-39059	颓	145047	-1	2	{vg=0}
-39060	颔	65536	-1	3	{vg=1}
-39062	颖	140211	-1	2	{nr=1}
-39063	颗	133058	-1	2	{q=43}
-39064	题	154350	-1	2	{n=28, q=0, v=17}
-39066	颚	129947	-1	1	null
-39067	颛	65536	-1	3	{n=0}
-39068	颜	144651	-1	2	{j=0, ng=1, nr=0}
-39069	额	142437	-1	2	{n=6}
-39070	颞	125899	-1	1	null
-39071	颟	125945	-1	1	null
-39072	颠	145074	-1	2	{a=0, j=0, v=1}
-39073	颡	65536	-1	3	{n=0}
-39074	颢	65536	-1	3	{n=0}
-39076	颤	144117	-1	2	{v=1}
-39077	颥	65536	-1	3	{x=0}
-39078	颦	65536	-1	3	{n=0}
-39079	颧	125442	-1	1	null
-39118	风	204850	-1	2	{n=70, ng=3, nr=0}
-39121	飑	65536	-1	3	{n=0}
-39122	飒	136399	-1	1	null
-39123	飓	126261	-1	1	null
-39125	飕	126258	-1	2	{o=0}
-39128	飘	176842	-1	2	{a=0, nr=0, v=20}
-39129	飙	144081	-1	1	null
-39134	飞	192889	-1	2	{dg=2, nr=0, v=73, vn=0}
-39135	食	188409	-1	2	{ng=7, v=9, vg=2, vn=0}
-39143	飧	65536	-1	3	{n=0}
-39144	飨	142104	-1	2	{vg=3}
-39181	餍	65536	-1	3	{n=0}
-39184	餐	152197	-1	2	{ng=12, q=2, vg=2}
-39214	餮	65536	-1	3	{x=0}
-39252	饔	65536	-1	3	{n=0}
-39253	饕	126363	-1	1	null
-39269	饥	145632	-1	2	{ag=0, ng=0}
-39271	饧	133646	-1	2	{v=0}
-39272	饨	65536	-1	3	{x=0}
-39273	饩	65536	-1	3	{n=0}
-39274	饪	65536	-1	3	{n=0}
-39275	饫	65536	-1	3	{n=0}
-39276	饬	65536	-1	3	{n=0}
-39277	饭	169302	-1	2	{n=42, vg=1}
-39278	饮	146715	-1	2	{ng=1, v=9}
-39279	饯	144636	-1	1	null
-39280	饰	143972	-1	2	{v=5}
-39281	饱	154898	-1	2	{a=4, ad=0, an=0, v=0}
-39282	饲	144866	-1	2	{vg=0}
-39284	饴	133747	-1	1	null
-39285	饵	139697	-1	2	{ng=0}
-39286	饶	144101	-1	2	{nr=0, v=0}
-39287	饷	127578	-1	1	null
-39290	饺	142341	-1	2	{ng=0}
-39292	饼	142364	-1	2	{n=1}
-39293	饽	126431	-1	1	null
-39295	饿	138200	-1	2	{a=1, an=0, v=11, vd=0}
-39296	馀	65536	-1	3	{n=0}
-39297	馁	65536	-1	3	{vg=0}
-39300	馄	126483	-1	1	null
-39301	馅	144965	-1	2	{ng=7}
-39302	馆	150134	-1	2	{ng=10}
-39303	馇	65536	-1	3	{x=0}
-39304	馈	129581	-1	1	null
-39306	馊	145743	-1	2	{a=0}
-39307	馋	143716	-1	2	{a=2}
-39309	馍	126481	-1	1	null
-39311	馏	65536	-1	3	{v=1}
-39312	馐	65536	-1	3	{n=0}
-39313	馑	65536	-1	3	{x=0}
-39314	馒	142955	-1	1	null
-39315	馓	65536	-1	3	{ng=0}
-39316	馔	65536	-1	3	{n=0}
-39317	馕	65536	-1	3	{n=0}
-39318	首	194991	-1	2	{d=0, m=290, ng=13, nr=0, q=58}
-39319	馗	65536	-1	3	{n=0}
-39320	馘	65536	-1	3	{n=0}
-39321	香	198185	-1	2	{a=23, n=4, v=0}
-39333	馥	128888	-1	2	{ag=0}
-39336	馨	132071	-1	2	{ag=0, ng=5}
-39532	马	204930	-1	2	{j=18, n=20, nr=2}
-39533	驭	141129	-1	1	null
-39534	驮	142958	-1	2	{v=0}
-39535	驯	145583	-1	2	{v=1}
-39536	驰	144796	-1	2	{vg=5}
-39537	驱	145968	-1	2	{vg=1}
-39539	驳	145925	-1	2	{ng=0, v=0}
-39540	驴	142952	-1	2	{n=0}
-39541	驵	65536	-1	3	{n=0}
-39542	驶	146593	-1	2	{v=0, vg=12}
-39543	驷	126812	-1	1	null
-39544	驸	126817	-1	1	null
-39545	驹	142979	-1	2	{ng=0}
-39546	驺	65536	-1	3	{n=0}
-39547	驻	148973	-1	2	{v=275, vn=0}
-39548	驼	145254	-1	2	{ng=0, v=0}
-39549	驽	128319	-1	1	null
-39550	驾	147840	-1	2	{ng=0, q=4, v=2}
-39551	驿	134930	-1	1	null
-39552	骀	65536	-1	3	{x=0}
-39553	骁	145182	-1	1	null
-39554	骂	146475	-1	2	{v=7, vn=0}
-39556	骄	149698	-1	2	{ag=0}
-39557	骅	65536	-1	3	{nr=0, x=0}
-39558	骆	126870	-1	2	{nr=0}
-39559	骇	146256	-1	1	null
-39560	骈	146109	-1	1	null
-39562	骊	65536	-1	3	{n=0}
-39563	骋	65536	-1	3	{vg=0}
-39564	验	154465	-1	2	{v=6}
-39567	骏	126897	-1	2	{ag=1, ng=0}
-39568	骐	65536	-1	3	{n=0}
-39569	骑	146938	-1	2	{ng=0, v=20}
-39570	骒	126923	-1	1	null
-39571	骓	65536	-1	3	{n=0}
-39574	骖	65536	-1	3	{v=0}
-39575	骗	146664	-1	2	{v=10, vn=4}
-39576	骘	65536	-1	3	{n=0}
-39578	骚	146620	-1	2	{a=0}
-39579	骛	65536	-1	3	{n=0}
-39580	骜	65536	-1	3	{n=0}
-39581	骝	65536	-1	3	{n=0}
-39582	骞	65536	-1	3	{n=0}
-39583	骟	65536	-1	3	{v=0}
-39584	骠	65536	-1	3	{x=0}
-39585	骡	143104	-1	2	{ng=0}
-39586	骢	65536	-1	3	{n=0}
-39587	骣	65536	-1	3	{n=0}
-39588	骤	145601	-1	2	{d=5, vg=1}
-39589	骥	65536	-1	3	{ng=0, nr=0}
-39591	骧	65536	-1	3	{vg=1}
-39592	骨	192718	-1	2	{ng=4}
-39600	骰	143157	-1	1	null
-39601	骱	65536	-1	3	{n=0}
-39606	骶	126942	-1	1	null
-39607	骷	126917	-1	1	null
-39608	骸	126947	-1	1	null
-39610	骺	65536	-1	3	{x=0}
-39612	骼	65536	-1	3	{x=0}
-39616	髀	65536	-1	3	{n=0}
-39617	髁	65536	-1	3	{n=0}
-39618	髂	126955	-1	1	null
-39621	髅	65536	-1	3	{x=0}
-39627	髋	145699	-1	1	null
-39628	髌	126966	-1	1	null
-39633	髑	126946	-1	1	null
-39635	髓	65536	-1	3	{n=0}
-39640	高	209115	-1	2	{a=876, ad=24, an=9, d=1, j=1, ng=1, nr=2, v=21}
-39649	髡	65536	-1	3	{n=0}
-39654	髦	65536	-1	3	{n=0}
-39659	髫	65536	-1	3	{n=0}
-39661	髭	65536	-1	3	{n=0}
-39663	髯	145560	-1	2	{ng=0}
-39673	髹	65536	-1	3	{n=0}
-39675	髻	65536	-1	3	{n=0}
-39683	鬃	145990	-1	2	{ng=0}
-39688	鬈	65536	-1	3	{n=0}
-39695	鬏	65536	-1	3	{n=0}
-39699	鬓	145595	-1	2	{ng=0}
-39711	鬟	65536	-1	3	{n=0}
-39715	鬣	137650	-1	2	{ng=0}
-39727	鬯	65536	-1	3	{n=0}
-39730	鬲	65536	-1	3	{ng=0}
-39739	鬻	65536	-1	3	{vg=0}
-39740	鬼	185789	-1	2	{a=5, n=4}
-39745	魁	145839	-1	1	null
-39746	魂	147212	-1	2	{n=6}
-39747	魃	65536	-1	3	{x=0}
-39748	魄	145983	-1	2	{ng=0}
-39749	魅	145991	-1	1	null
-39752	魈	65536	-1	3	{x=0}
-39753	魉	65536	-1	3	{x=0}
-39757	魍	65536	-1	3	{x=0}
-39759	魏	145700	-1	2	{nr=1, tg=1}
-39761	魑	65536	-1	3	{n=0}
-39764	魔	152297	-1	2	{ag=1, ng=1}
-40060	鱼	195154	-1	2	{n=36, nr=0}
-40063	鱿	127174	-1	1	null
-40065	鲁	152133	-1	2	{j=1, n=0, nr=0}
-40066	鲂	65536	-1	3	{n=0}
-40069	鲅	127206	-1	1	null
-40070	鲆	65536	-1	3	{n=0}
-40071	鲇	127209	-1	1	null
-40072	鲈	127210	-1	2	{n=0}
-40075	鲋	65536	-1	3	{n=0}
-40077	鲍	143497	-1	2	{nr=0}
-40078	鲎	65536	-1	3	{n=0}
-40080	鲐	65536	-1	3	{n=0}
-40081	鲑	127219	-1	1	null
-40082	鲒	65536	-1	3	{n=0}
-40084	鲔	65536	-1	3	{n=0}
-40085	鲕	65536	-1	3	{n=0}
-40090	鲚	65536	-1	3	{n=0}
-40091	鲛	65536	-1	3	{n=0}
-40092	鲜	170978	-1	2	{a=12, ad=1, ag=0, ng=1}
-40094	鲞	65536	-1	3	{n=0}
-40095	鲟	65536	-1	3	{n=0}
-40096	鲠	136851	-1	1	null
-40097	鲡	65536	-1	3	{x=0}
-40098	鲢	127248	-1	1	null
-40099	鲣	126831	-1	1	null
-40100	鲤	127252	-1	2	{ng=0}
-40101	鲥	127261	-1	1	null
-40102	鲦	65536	-1	3	{x=0}
-40103	鲧	65536	-1	3	{n=0}
-40104	鲨	127266	-1	1	null
-40105	鲩	65536	-1	3	{n=0}
-40107	鲫	127267	-1	1	null
-40109	鲭	139585	-1	2	{n=0}
-40110	鲮	127271	-1	1	null
-40112	鲰	65536	-1	3	{n=0}
-40113	鲱	127278	-1	1	null
-40114	鲲	126813	-1	1	null
-40115	鲳	127281	-1	1	null
-40116	鲴	65536	-1	3	{n=0}
-40117	鲵	65536	-1	3	{n=0}
-40118	鲶	127284	-1	1	null
-40119	鲷	65536	-1	3	{n=0}
-40120	鲸	145819	-1	2	{ng=0}
-40122	鲺	65536	-1	3	{n=0}
-40123	鲻	65536	-1	3	{n=0}
-40124	鲼	65536	-1	3	{n=0}
-40125	鲽	65536	-1	3	{n=0}
-40131	鳃	65536	-1	3	{n=0}
-40132	鳄	127287	-1	2	{ng=0}
-40133	鳅	65536	-1	3	{x=0}
-40134	鳆	65536	-1	3	{x=0}
-40135	鳇	65536	-1	3	{ng=1}
-40138	鳊	127292	-1	1	null
-40140	鳌	65536	-1	3	{n=0}
-40141	鳍	65536	-1	3	{n=0}
-40142	鳎	65536	-1	3	{n=0}
-40143	鳏	144527	-1	1	null
-40144	鳐	65536	-1	3	{n=0}
-40147	鳓	65536	-1	3	{n=0}
-40148	鳔	134345	-1	2	{n=0}
-40149	鳕	127300	-1	1	null
-40150	鳖	135428	-1	2	{n=1, ng=0}
-40151	鳗	127303	-1	2	{ng=0}
-40152	鳘	65536	-1	3	{n=0}
-40153	鳙	127306	-1	1	null
-40156	鳜	127311	-1	1	null
-40157	鳝	127318	-1	1	null
-40158	鳞	144148	-1	2	{n=1}
-40159	鳟	127329	-1	1	null
-40162	鳢	65536	-1	3	{n=0}
-40479	鸟	167021	-1	2	{n=19}
-40480	鸠	143738	-1	1	null
-40481	鸡	193235	-1	2	{n=26}
-40482	鸢	65536	-1	3	{ng=0}
-40483	鸣	147943	-1	2	{nr=0, v=1, vg=8}
-40485	鸥	65536	-1	3	{ng=0}
-40486	鸦	141154	-1	1	null
-40488	鸨	139956	-1	1	null
-40489	鸩	139952	-1	2	{ng=0}
-40490	鸪	65536	-1	3	{x=0}
-40491	鸫	127078	-1	2	{n=0}
-40492	鸬	127023	-1	1	null
-40493	鸭	152819	-1	2	{n=0, ng=19}
-40495	鸯	65536	-1	3	{x=0}
-40497	鸱	65536	-1	3	{n=0}
-40498	鸲	65536	-1	3	{n=0}
-40499	鸳	127091	-1	1	null
-40501	鸵	127111	-1	1	null
-40502	鸶	65536	-1	3	{x=0}
-40503	鸷	127120	-1	1	null
-40504	鸸	127082	-1	1	null
-40505	鸹	65536	-1	3	{x=0}
-40506	鸺	65536	-1	3	{x=0}
-40509	鸽	144230	-1	2	{ng=1}
-40510	鸾	146643	-1	2	{nr=0}
-40511	鸿	150596	-1	2	{ag=1, ng=0, nr=0}
-40513	鹁	127139	-1	1	null
-40514	鹂	65536	-1	3	{nr=0, x=0}
-40515	鹃	65536	-1	3	{x=0}
-40516	鹄	65536	-1	3	{ng=0}
-40517	鹅	147318	-1	2	{n=1}
-40518	鹆	65536	-1	3	{x=0}
-40519	鹇	65536	-1	3	{x=0}
-40520	鹈	127126	-1	1	null
-40521	鹉	65536	-1	3	{x=0}
-40522	鹊	143639	-1	2	{ng=0}
-40523	鹋	65536	-1	3	{x=0}
-40524	鹌	127143	-1	1	null
-40526	鹎	65536	-1	3	{n=0}
-40527	鹏	145203	-1	2	{ng=0, nr=3, nt=0}
-40529	鹑	65536	-1	3	{x=0}
-40533	鹕	65536	-1	3	{x=0}
-40535	鹗	65536	-1	3	{ng=0}
-40536	鹘	65536	-1	3	{x=0}
-40538	鹚	65536	-1	3	{x=0}
-40539	鹛	65536	-1	3	{n=0}
-40540	鹜	65536	-1	3	{ng=0}
-40542	鹞	144320	-1	2	{ng=1}
-40547	鹣	65536	-1	3	{n=0}
-40548	鹤	146358	-1	2	{n=0}
-40550	鹦	145978	-1	1	null
-40551	鹧	127232	-1	1	null
-40552	鹨	65536	-1	3	{n=0}
-40553	鹩	145991	-1	2	{x=0}
-40554	鹪	127190	-1	1	null
-40555	鹫	65536	-1	3	{n=0}
-40556	鹬	133301	-1	1	null
-40557	鹭	144043	-1	2	{ng=0}
-40560	鹰	139931	-1	2	{j=0, n=1}
-40561	鹱	65536	-1	3	{n=0}
-40563	鹳	129179	-1	2	{n=0}
-40574	鹾	65536	-1	3	{n=0}
-40575	鹿	158279	-1	2	{n=0, nr=0}
-40578	麂	144427	-1	1	null
-40583	麇	65536	-1	3	{n=0}
-40584	麈	65536	-1	3	{n=0}
-40587	麋	127221	-1	1	null
-40594	麒	127190	-1	1	null
-40595	麓	65536	-1	3	{ng=0}
-40605	麝	138524	-1	1	null
-40607	麟	146846	-1	2	{ng=1}
-40614	麦	179410	-1	2	{ng=4, nr=0, vg=0}
-40628	麴	65536	-1	3	{nr=0}
-40632	麸	144486	-1	1	null
-40635	麻	189508	-1	2	{a=0, n=1, nr=0, v=0}
-40637	麽	65536	-1	3	{x=0}
-40638	麾	147934	-1	1	null
-40644	黄	205614	-1	2	{a=22, an=0, j=7, ng=0, nr=4, v=0}
-40649	黉	65536	-1	3	{n=0}
-40653	黍	144779	-1	2	{ng=0}
-40654	黎	145849	-1	2	{j=24, nr=1}
-40655	黏	151224	-1	2	{a=0}
-40657	黑	207342	-1	2	{a=31, an=0, j=1, ng=2, nr=0, v=0}
-40660	黔	148610	-1	2	{j=5}
-40664	默	158119	-1	2	{ng=0, v=0, vd=0}
-40667	黛	135962	-1	2	{ng=1}
-40668	黜	147661	-1	1	null
-40669	黝	127821	-1	1	null
-40671	黟	147047	-1	2	{n=0}
-40672	黠	65536	-1	3	{n=0}
-40674	黢	65536	-1	3	{ag=0}
-40677	黥	65536	-1	3	{n=0}
-40679	黧	127832	-1	1	null
-40681	黩	140997	-1	1	null
-40682	黪	65536	-1	3	{n=0}
-40687	黯	140378	-1	1	null
-40697	黹	65536	-1	3	{n=0}
-40699	黻	65536	-1	3	{n=0}
-40700	黼	65536	-1	3	{n=0}
-40702	黾	65536	-1	3	{x=0}
-40715	鼋	128437	-1	1	null
-40717	鼍	65536	-1	3	{n=0}
-40718	鼎	147425	-1	2	{ng=0}
-40720	鼐	65536	-1	3	{n=0}
-40723	鼓	179116	-1	2	{a=2, n=1, v=5, vg=0}
-40727	鼗	65536	-1	3	{n=0}
-40729	鼙	65536	-1	3	{x=0}
-40736	鼠	152844	-1	2	{n=0, ng=2}
-40738	鼢	127873	-1	1	null
-40748	鼬	139045	-1	1	null
-40751	鼯	127878	-1	1	null
-40759	鼷	127880	-1	1	null
-40761	鼹	127881	-1	1	null
-40763	鼻	171911	-1	2	{ng=10}
-40765	鼽	65536	-1	3	{n=0}
-40766	鼾	145868	-1	1	null
-40772	齄	65536	-1	3	{n=0}
-40784	齐	165107	-1	2	{a=9, d=9, j=0, nr=0, tg=0, v=2}
-40785	齑	65536	-1	3	{n=0}
-40831	齿	154165	-1	2	{n=0}
-40832	龀	65536	-1	3	{n=0}
-40835	龃	127870	-1	1	null
-40836	龄	65536	-1	3	{ng=2, q=0}
-40837	龅	139442	-1	1	null
-40838	龆	65536	-1	3	{n=0}
-40839	龇	139443	-1	2	{v=0}
-40840	龈	65536	-1	3	{n=0}
-40841	龉	65536	-1	3	{x=0}
-40842	龊	65536	-1	3	{x=0}
-40843	龋	127891	-1	1	null
-40844	龌	127886	-1	1	null
-40857	龙	200623	-1	2	{j=0, n=40, nr=6}
-40858	龚	65536	-1	3	{nr=0}
-40859	龛	144467	-1	2	{ng=0}
-40863	龟	146114	-1	2	{n=0, ng=1}
-40864	龠	65536	-1	3	{n=0}
-59409		65536	-1	3	{c=0, d=0, i=0, j=0, l=0, m=0, n=0, t=0}
-65281	！	65536	-1	3	{w=665}
-65285	％	65536	-1	3	{m=0, w=24}
-65288	（	65536	-1	3	{w=4316}
-65289	）	65536	-1	3	{w=4316}
-65290	＊	65536	-1	3	{w=29}
-65291	＋	65536	-1	3	{w=2}
-65292	，	65536	-1	3	{w=74920}
-65293	－	65536	-1	3	{w=4}
-65294	．	65536	-1	3	{w=2}
-65295	／	65536	-1	3	{m=0, w=27}
-65296	０	65536	-1	5	{m=1}
-65297	１	65536	-1	5	{m=1}
-65298	２	65536	-1	5	{m=1}
-65299	３	65536	-1	5	{m=1}
-65300	４	65536	-1	5	{m=1}
-65301	５	65536	-1	5	{m=1}
-65302	６	65536	-1	5	{m=1}
-65303	７	65536	-1	5	{m=1}
-65304	８	65536	-1	5	{m=1}
-65305	９	65536	-1	5	{m=1}
-65306	：	65536	-1	3	{w=3258}
-65307	；	65536	-1	3	{w=2636}
-65308	＜	65536	-1	3	{w=0}
-65310	＞	65536	-1	3	{w=1}
-65311	？	65536	-1	3	{w=771}
-65313	Ａ	65536	-1	4	{en=1}
-65314	Ｂ	65536	-1	4	{en=1}
-65315	Ｃ	65536	-1	4	{en=1}
-65316	Ｄ	65536	-1	4	{en=1}
-65317	Ｅ	65536	-1	4	{en=1}
-65318	Ｆ	65536	-1	4	{en=1}
-65319	Ｇ	65536	-1	4	{en=1}
-65320	Ｈ	65536	-1	4	{en=1}
-65321	Ｉ	65536	-1	4	{en=1}
-65322	Ｊ	65536	-1	4	{en=1}
-65323	Ｋ	65536	-1	4	{en=1}
-65324	Ｌ	65536	-1	4	{en=1}
-65325	Ｍ	65536	-1	4	{en=1}
-65326	Ｎ	65536	-1	4	{en=1}
-65327	Ｏ	65536	-1	4	{en=1}
-65328	Ｐ	65536	-1	4	{en=1}
-65329	Ｑ	65536	-1	4	{en=1}
-65330	Ｒ	65536	-1	4	{en=1}
-65331	Ｓ	65536	-1	4	{en=1}
-65332	Ｔ	65536	-1	4	{en=1}
-65333	Ｕ	65536	-1	4	{en=1}
-65334	Ｖ	65536	-1	4	{en=1}
-65335	Ｗ	65536	-1	4	{en=1}
-65336	Ｘ	65536	-1	4	{en=1}
-65337	Ｙ	65536	-1	4	{en=1}
-65338	Ｚ	65536	-1	4	{en=1}
-65339	［	65536	-1	3	{w=1}
-65341	］	65536	-1	3	{w=1}
-65345	ａ	65536	-1	4	{en=1}
-65346	ｂ	65536	-1	4	{en=1}
-65347	ｃ	65536	-1	4	{en=1}
-65348	ｄ	65536	-1	4	{en=1}
-65349	ｅ	65536	-1	4	{en=1}
-65350	ｆ	65536	-1	4	{en=1}
-65351	ｇ	65536	-1	4	{en=1}
-65352	ｈ	65536	-1	4	{en=1}
-65353	ｉ	65536	-1	4	{en=1}
-65354	ｊ	65536	-1	4	{en=1}
-65355	ｋ	65536	-1	4	{en=1}
-65356	ｌ	65536	-1	4	{en=1}
-65357	ｍ	65536	-1	4	{en=1}
-65358	ｎ	65536	-1	4	{en=1}
-65359	ｏ	65536	-1	4	{en=1}
-65360	ｐ	65536	-1	4	{en=1}
-65361	ｑ	65536	-1	4	{en=1}
-65362	ｒ	65536	-1	4	{en=1}
-65363	ｓ	65536	-1	4	{en=1}
-65364	ｔ	65536	-1	4	{en=1}
-65365	ｕ	65536	-1	4	{en=1}
-65366	ｖ	65536	-1	4	{en=1}
-65367	ｗ	65536	-1	4	{en=1}
-65368	ｘ	65536	-1	4	{en=1}
-65369	ｙ	65536	-1	4	{en=1}
-65370	ｚ	65536	-1	4	{en=1}
-65374	～	65536	-1	3	{w=0}
-65583	大卡/	76185	149755	1	null
-65601	公里/	65629	133277	1	null
-73748	——	65537	8212	2	{w=157}
-73749	———	65536	73748	3	{w=479}
-73766	……	65536	8230	3	{w=348}
-85504	一一	65537	19968	2	{d=12}
-85505	一丁	65537	19968	1	null
-85506	一丝一	65536	85533	1	null
-85507	一中一	65536	85549	1	null
-85508	一举一	65537	85566	1	null
-85509	一五一	65536	85652	1	null
-85510	一唱一	65536	87345	1	null
-85511	一对一	65536	89081	3	{l=0}
-85512	一家一	65536	89014	1	null
-85513	一字一	65537	88919	1	null
-85514	一年一	65537	89716	1	null
-85515	一下	65536	19968	2	{d=0, m=63}
-85516	一哄而上	65536	98317	3	{i=3}
-85517	一不	65537	19968	1	null
-85518	一动不	65538	86696	1	null
-85519	一丝不	65536	85533	1	null
-85520	一去不	65536	86971	1	null
-85521	一声不	65536	88304	1	null
-85522	一声令下	65536	85736	3	{l=0}
-85523	一专	65537	19968	1	null
-85524	一尘不	65536	89112	1	null
-85525	一心一	65537	90051	1	null
-85526	一世	65536	19968	3	{n=0}
-85527	一怒之下	65536	85588	3	{l=1}
-85528	一丘	65536	19968	1	null
-85529	一成不	65536	90640	1	null
-85530	一业	65536	19968	3	{n=1}
-85531	一手一	65537	90699	1	null
-85532	一招一	65537	90843	1	null
-85533	一丝	65538	19968	1	null
-85534	一拥而上	65536	98320	3	{i=0}
-85535	一文不	65537	91527	1	null
-85536	一日三	65536	91621	1	null
-85537	一时一	65537	91638	1	null
-85538	一是一	65536	91695	3	{i=0}
-85539	一朝一	65536	91933	1	null
-85540	一国两	65536	87805	1	null
-85541	一刀两	65536	86528	1	null
-85542	一府两	65537	89756	1	null
-85543	一本万	65536	91948	1	null
-85544	一举两	65537	85566	1	null
-85545	一板一	65537	92031	1	null
-85546	一个	65538	19968	2	{m=1889}
-85547	一模一	65537	92705	1	null
-85548	一步一	65540	93029	1	null
-85549	一中	65539	19968	2	{j=5}
-85550	一步一个	65536	85548	1	null
-85551	一毛不	65536	93147	1	null
-85552	一气之下	65536	85592	3	{l=1}
-85553	一波三	65536	93410	1	null
-85554	一瓶子不	65537	88915	1	null
-85555	一点一	65536	94393	1	null
-85556	一生一	65567	95519	1	null
-85557	一生一世	65536	85556	3	{i=0}
-85558	一病不	65537	95685	1	null
-85559	一省两	65537	96001	1	null
-85560	一着不	65536	96064	1	null
-85561	一碧万	65536	96423	1	null
-85562	一分为	65536	86534	1	null
-85563	一吐为	65536	87056	1	null
-85564	一窍不	65537	96909	1	null
-85565	一统天下	65536	88365	3	{i=3}
-85566	一举	65540	19968	2	{d=21}
-85567	一一列举	65536	86552	3	{l=0}
-85568	一花独放不	65538	91454	1	null
-85569	一草一	65538	99145	1	null
-85570	一落千丈	65536	86856	3	{i=1}
-85571	一蹶不	65536	102006	1	null
-85572	一连串	65536	102366	3	{l=2, n=1}
-85573	一针一	65537	103560	1	null
-85574	一钱不	65536	103601	1	null
-85575	一颦一	65537	104614	1	null
-85576	丁是丁	65536	91774	3	{i=0}
-85577	七上八下	65536	86382	3	{i=0}
-85578	七擒七	65536	91446	1	null
-85579	一丘之	65536	85528	1	null
-85580	一以贯之	65536	101680	3	{i=5}
-85581	一墙之	65536	88217	1	null
-85582	一孔之	65537	88916	1	null
-85583	一定之	65536	88986	1	null
-85584	一山之	65537	89201	1	null
-85585	一席之	65536	89645	1	null
-85586	一得之	65538	90007	1	null
-85587	一念之	65537	90101	1	null
-85588	一怒之	65548	90130	1	null
-85589	一年之	65536	89716	1	null
-85590	一技之	65536	90752	1	null
-85591	一树了之	65536	85640	3	{l=1}
-85592	一气之	65573	93204	1	null
-85593	一水之	65538	93236	1	null
-85594	一笑置之	65536	98158	3	{i=1}
-85595	一臂之	65537	98754	1	null
-85596	一隅之	65540	104069	1	null
-85597	一面之	65536	104290	1	null
-85598	七步之	65539	93129	1	null
-85599	万众一	65541	85899	1	null
-85600	丁丑	65536	19969	3	{m=0, t=1}
-85601	七百乡	65536	95970	3	{ns=0}
-85602	一言一	65539	100864	1	null
-85603	万全之	65537	86492	1	null
-85604	万劫不	65538	86815	1	null
-85605	万变不	65536	87116	1	null
-85606	万家乐	65536	89130	3	{nz=0}
-85607	七七	65549	19971	1	null
-85608	万岭不	65537	89377	1	null
-85609	万无一	65538	91732	1	null
-85610	万死一	65540	93167	1	null
-85611	万难不	65537	104242	1	null
-85612	三三两	65609	91178	1	null
-85613	三三两两	65536	85612	3	{i=3}
-85614	七上	65539	19971	1	null
-85615	一言不	65539	100864	1	null
-85616	三为主	65536	91227	3	{j=0}
-85617	三位一	65537	91502	1	null
-85618	一团乱	65536	87778	1	null
-85619	三六九	65537	92046	1	null
-85620	三台山乡	65536	89205	3	{ns=0}
-85621	三合一	65536	92713	3	{l=2, vn=0}
-85622	三国演义	65536	93972	3	{nz=9}
-85623	万死不	65536	93167	1	null
-85624	三塘乡	65536	93817	3	{ns=0}
-85625	三天两	65539	94026	1	null
-85626	三支两	65536	97104	1	null
-85627	三改一	65538	97114	1	null
-85628	万丈	65537	19975	1	null
-85629	三教九	65538	97146	1	null
-85630	三步并作两	65538	85853	1	null
-85631	三民主	65591	98866	1	null
-85632	三民主义	65536	85631	3	{n=0}
-85633	万不	65539	19975	1	null
-85634	三番两	65537	101259	1	null
-85635	三缺一	65536	103771	3	{l=1}
-85636	三老四严	65536	87773	3	{j=1}
-85637	三自一	65536	104459	1	null
-85638	一了	65537	19968	1	null
-85639	一了百了	65536	95871	3	{i=0}
-85640	一树了	65548	92177	1	null
-85641	三言两	65537	106529	1	null
-85642	万世	65537	19975	1	null
-85643	一事	65537	19968	1	null
-85644	一分为二	65536	85562	3	{i=1}
-85645	一大二	65536	88359	1	null
-85646	一差二	65536	89582	1	null
-85647	一干二	65536	89714	1	null
-85648	一平二	65536	89715	1	null
-85649	一年之计在于	65537	87848	1	null
-85650	一来二	65538	92005	1	null
-85651	一清二	65536	93701	1	null
-85652	一五	65541	19968	1	null
-85653	一目了	65536	95982	1	null
-85654	一穷二	65540	96887	1	null
-85655	一般无二	65536	91624	3	{i=0}
-85656	七七事	65537	85607	1	null
-85657	七十二	65540	86949	1	null
-85658	万里无云	65536	91630	3	{l=1}
-85659	一些	65536	19968	3	{m=908, r=2}
-85660	一言为	65539	100864	1	null
-85661	三令五	65536	91397	1	null
-85662	三心二	65540	95716	1	null
-85663	三纲五	65537	103635	1	null
-85664	三评一	65536	106981	1	null
-85665	三资企业	65536	85761	3	{n=5}
-85666	三长两	65536	109472	1	null
-85667	上上下	65690	92624	1	null
-85668	一面之交	65536	85597	3	{i=0}
-85669	上上下下	65536	85667	3	{l=6, z=1}
-85670	上传下	65537	92902	1	null
-85671	上下一	65543	92625	1	null
-85672	上山下	65608	96311	1	null
-85673	上山下乡	65536	85672	3	{l=3}
-85674	上梁不	65536	99399	1	null
-85675	上梁不正下	65537	93027	1	null
-85676	上海交	65555	100669	1	null
-85677	上纲上	65539	105080	1	null
-85678	上行下	65536	107538	1	null
-85679	上诉书	65536	108431	3	{n=0}
-85680	下不为	65537	95368	1	null
-85681	下屯乡	65536	99050	3	{ns=2}
-85682	下落不	65536	109240	1	null
-85683	不三不	65539	102554	1	null
-85684	不上不	65706	102555	1	null
-85685	不上不下	65536	85684	3	{i=0}
-85686	不下于	65536	102556	3	{v=0}
-85687	不世之	65548	102567	1	null
-85688	不义之	65537	102618	1	null
-85689	不了了	65660	102679	1	null
-85690	一人	65538	19968	1	null
-85691	一代人	65536	85731	3	{n=5}
-85692	一班人	65536	95213	3	{l=12}
-85693	一表人	65537	100456	1	null
-85694	一语惊人	65536	90317	3	{i=1}
-85695	一言九	65536	100864	1	null
-85696	一鸣惊人	65536	90314	3	{i=2}
-85697	一视同仁	65536	87055	3	{i=1}
-85698	一家人	65536	89014	3	{n=3}
-85699	下里巴人	65536	89588	3	{i=1}
-85700	不为人	65538	102603	1	null
-85701	丈人	65536	19976	3	{n=0}
-85702	不乏其人	65536	86403	3	{i=1}
-85703	不了了之	65536	85689	3	{i=1}
-85704	不亚于	65536	102699	3	{v=0}
-85705	不亢不	65548	102707	1	null
-85706	不亦乐	65661	102711	1	null
-85707	不亦乐乎	65536	85706	3	{i=3}
-85708	不仅仅	65536	102742	3	{d=24}
-85709	不以为	65537	102774	1	null
-85710	不伦不	65537	102839	1	null
-85711	不依不	65536	102958	1	null
-85712	不值一	65538	103117	1	null
-85713	不偏不	65536	103136	1	null
-85714	不冷不	65536	103496	1	null
-85715	不利于	65536	103610	3	{v=1}
-85716	不务正业	65536	93033	3	{i=0}
-85717	不动产业	65536	85718	3	{n=2}
-85718	不动产	65723	103737	2	{n=5}
-85719	不卑不	65590	103906	1	null
-85720	不卑不亢	65536	85719	3	{i=0}
-85721	不即不	65537	103940	1	null
-85722	不可一世	65536	85764	3	{i=2}
-85723	丁二	65536	19969	1	null
-85724	不可告人	65536	87374	3	{l=0}
-85725	不可开交	65536	90116	3	{i=1}
-85726	不名一	65539	104094	1	null
-85727	不哼不	65536	104333	1	null
-85728	不在乎	65536	104889	3	{v=1}
-85729	不在话下	65536	101487	3	{i=1}
-85730	不声不	65538	105345	1	null
-85731	一代	65537	19968	2	{m=0, n=28, q=0}
-85732	不堪一	65536	105147	1	null
-85733	一以	65537	19968	1	null
-85734	下一代	65536	95355	3	{n=3}
-85735	不久以	65540	102614	1	null
-85736	一声令	65543	88304	1	null
-85737	不外乎	65536	105383	3	{d=1, v=1}
-85738	不大不	65539	105400	1	null
-85739	不失为	65536	105410	3	{v=4}
-85740	不如意事	65539	90390	1	null
-85741	不如意事常八九	65536	86405	3	{i=1, n=0}
-85742	不孝之	65553	105966	1	null
-85743	不定人	65536	106027	1	null
-85744	万流景仰	65536	91759	3	{i=0}
-85745	不尽人	65544	106190	1	null
-85746	三番五	65538	101259	1	null
-85747	不屈不	65536	106201	1	null
-85748	丁亥	65536	19969	3	{m=0}
-85749	不屑一	65536	106210	1	null
-85750	不干不	65537	106755	1	null
-85751	不变价	65536	104041	1	null
-85752	七五	65536	19971	3	{j=0, m=4}
-85753	不二价	65536	102685	3	{l=0}
-85754	不得已而为	65714	98333	1	null
-85755	不信任	65536	103026	1	null
-85756	下不了	65538	95368	1	null
-85757	不得已而为之	65536	85754	3	{l=2, n=0}
-85758	不怎么	65540	107167	2	{l=2}
-85759	万事	65547	19975	2	{n=1}
-85760	不容乐	65541	106058	1	null
-85761	三资企	65671	107365	1	null
-85762	不得不	65536	107048	3	{d=48, v=1}
-85763	不恭不	65536	107262	1	null
-85764	不可一	65732	104064	1	null
-85765	不情之	65537	107350	1	null
-85766	不惑之	65545	107362	1	null
-85767	不愧为	65536	107448	3	{v=2}
-85768	不慌不	65688	107485	1	null
-85769	不慌不乱	65536	85768	3	{l=0}
-85770	下车伊	65537	112097	1	null
-85771	不成人	65554	107681	1	null
-85772	不折不	65537	107817	1	null
-85773	不拘一	65537	107881	1	null
-85774	不明不	65543	108703	1	null
-85775	不易之	65543	108708	1	null
-85776	不正之	65543	110068	1	null
-85777	不可不	65536	104064	3	{d=2}
-85778	不死不	65536	110092	1	null
-85779	不毛之	65540	110188	1	null
-85780	不治之	65538	110412	1	null
-85781	不法之	65536	110438	1	null
-85782	不济事	65536	110559	3	{a=0}
-85783	不甚了	65682	112555	1	null
-85784	不甚了了	65536	85783	3	{i=0}
-85785	不由自主	65536	98799	3	{i=3}
-85786	一会	65537	19968	2	{m=2, t=0}
-85787	一中全会	65536	86379	3	{j=4}
-85788	三中全会	65536	86397	3	{j=26}
-85789	不痛不	65536	112748	1	null
-85790	七人	65543	19971	1	null
-85791	不白之	65536	112910	1	null
-85792	一传	65536	19968	3	{n=0}
-85793	不可言传	65536	101124	3	{l=1}
-85794	一脉相传	65536	95993	3	{i=0}
-85795	不相上下	65536	85797	3	{i=1}
-85796	不省人	65692	113042	1	null
-85797	不相上	65816	113033	1	null
-85798	不一会	65553	102545	1	null
-85799	不省人事	65536	85796	3	{i=1}
-85800	不知人间有羞耻事	65536	98363	3	{i=0}
-85801	不知不	65539	113270	1	null
-85802	不知所云	65536	90972	3	{i=1}
-85803	不破不	65537	113349	1	null
-85804	不祥之	65553	113654	1	null
-85805	不祧之	65536	113656	1	null
-85806	万人	65540	19975	1	null
-85807	不禁不	65536	113682	1	null
-85808	不稂不	65536	113811	1	null
-85809	不符合条件	65537	92008	1	null
-85810	不管三	65840	114226	1	null
-85811	不管三七	65704	85810	1	null
-85812	不管三七二	65565	85811	1	null
-85813	不管三七二十一	65536	86878	3	{l=1, n=0}
-85814	不管不	65538	114226	1	null
-85815	不经之	65537	115040	1	null
-85816	不绝于	65536	115054	1	null
-85817	不结之	65536	115044	1	null
-85818	不耻下	65536	115404	1	null
-85819	不胜枚举	65536	92076	3	{i=2}
-85820	不能不	65536	115598	3	{d=22}
-85821	不至于	65536	115844	3	{d=2}
-85822	不致于	65536	115845	3	{v=1}
-85823	不见经传	65536	98005	3	{i=0}
-85824	不解之	65537	117876	1	null
-85825	不言不	65542	117905	1	null
-85826	不识抬举	65536	90800	3	{i=0}
-85827	不足为	65536	118852	1	null
-85828	不近人	65540	119394	1	null
-85829	不速之	65542	119472	1	null
-85830	不郎不	65538	119647	1	null
-85831	不闻不	65537	120972	1	null
-85832	不顾一	65541	121615	1	null
-85833	不骄不	65536	122133	1	null
-85834	与世无争	65536	91643	3	{i=1}
-85835	与人为	65537	86022	1	null
-85836	与人无争	65536	91889	3	{l=0}
-85837	一步到位	65536	86620	3	{l=2}
-85838	七高八低	65536	86395	3	{i=0}
-85839	不知高低	65536	105460	3	{i=0}
-85840	与众不	65548	86115	1	null
-85841	与时俯仰	65536	85999	3	{l=0}
-85842	专委会	65536	92238	3	{j=0}
-85843	一体	65536	19968	2	{n=30}
-85844	三位一体	65536	85617	3	{l=8}
-85845	不知今夕何	65538	88342	1	null
-85846	不良导体	65536	89084	3	{n=0}
-85847	万代	65536	19975	3	{m=0}
-85848	专心一	65548	93757	1	null
-85849	一览无余	65536	91627	3	{i=1}
-85850	不遗余	65559	119528	1	null
-85851	世世代	65660	87086	1	null
-85852	一鼓作	65540	106259	1	null
-85853	三步并作	65626	89722	1	null
-85854	且不	65546	19988	1	null
-85855	世世代代	65536	85851	3	{l=2, m=0}
-85856	世代相传	65536	95994	3	{l=0}
-85857	丑事	65536	19985	3	{n=0}
-85858	与世	65563	19982	1	null
-85859	世博会	65536	88434	3	{j=3, n=0}
-85860	世妇会	65536	90015	3	{j=0}
-85861	世风日下	65536	91646	3	{i=0}
-85862	丘东	65536	19992	3	{ns=0}
-85863	业内人	65536	86755	1	null
-85864	业精于	65536	97820	1	null
-85865	东坑乡	65536	96371	3	{ns=0}
-85866	东北亚	65536	95289	3	{j=2}
-85867	专业乡	65536	89236	3	{n=0}
-85868	东南亚	65537	95353	2	{ns=144}
-85869	东山乡	65536	97683	3	{ns=0}
-85870	东斯拉沃尼亚	65536	89148	3	{ns=3}
-85871	东方不亮	65544	85907	1	null
-85872	东方不亮西方亮	65536	91580	3	{l=2, n=0}
-85873	东方红一	65542	98344	1	null
-85874	东窗事	65538	105401	1	null
-85875	丛丛	65536	19995	3	{q=1}
-85876	东萨摩亚	65536	91241	3	{n=0}
-85877	东西南北中	65536	86809	3	{l=3, n=0}
-85878	东道主	65536	110965	3	{n=4}
-85879	丝毫不	65538	93553	1	null
-85880	丝绸之	65546	98430	1	null
-85881	两世为	65730	87201	1	null
-85882	东方红三	65543	98344	1	null
-85883	不得了	65536	107048	3	{l=1}
-85884	两世为人	65536	85881	3	{l=0}
-85885	两回事	65536	89449	3	{n=1}
-85886	丢三	65539	20002	1	null
-85887	不辱使	65538	119362	1	null
-85888	两姨亲	65536	90227	3	{n=0}
-85889	两弹一	65537	91588	1	null
-85890	两性人	65536	91826	3	{n=0}
-85891	两码事	65536	97932	3	{n=0}
-85892	世界一	65538	97124	1	null
-85893	丛中	65536	19995	3	{f=0, s=1}
-85894	丢丑	65536	20002	3	{v=0}
-85895	丙丑	65536	19993	3	{m=0}
-85896	两用人	65536	97203	1	null
-85897	两败俱伤	65536	86007	3	{i=0}
-85898	两面三	65538	105965	1	null
-85899	万众	65631	19975	2	{n=2}
-85900	下不为例	65536	85680	3	{i=0}
-85901	两高一	65654	106851	1	null
-85902	两高一优	65536	85901	3	{j=0}
-85903	三合会	65536	92713	3	{n=0}
-85904	严惩不	65536	91116	1	null
-85905	严阵以	65536	104760	1	null
-85906	丧家之	65536	89421	1	null
-85907	东方不	65729	100059	1	null
-85908	个人主	65868	86081	1	null
-85909	个人主义	65536	85908	3	{n=3}
-85910	中介人	65536	105375	3	{n=1}
-85911	中共中	65559	106053	1	null
-85912	中准价	65536	106138	3	{n=0}
-85913	业主	65536	19994	3	{n=12}
-85914	中低产	65536	105506	1	null
-85915	中和西乡	65536	100750	3	{ns=0}
-85916	中国人民政治协商会	65537	87366	1	null
-85917	中国共产	65536	86682	1	null
-85918	中国奥委会	65536	88532	3	{n=0}
-85919	中国消费者协会	65536	86890	3	{n=0}
-85920	中国红十字总会	65536	90172	3	{n=0}
-85921	中国证监会	65536	95954	3	{n=0}
-85922	中外古今	65536	87206	3	{j=1}
-85923	丝丝	65538	19997	1	null
-85924	不成体	65537	107681	1	null
-85925	中外代	65536	108010	3	{j=3}
-85926	中华书	65543	106530	1	null
-85927	一侧	65536	19968	3	{f=3, n=1}
-85928	中央文件	65536	92128	3	{n=0}
-85929	中小企	65936	108771	1	null
-85930	中小企业	65536	85929	3	{j=22}
-85931	中常会	65536	109324	3	{j=0}
-85932	中年人	65536	109384	3	{n=7}
-85933	中庸之	65546	109452	1	null
-85934	中猿乐	65536	114707	1	null
-85935	不得人	65550	107048	1	null
-85936	中生代	65536	115187	3	{nz=0, t=2}
-85937	个个	65536	20010	3	{q=20}
-85938	中立主	65898	116639	1	null
-85939	中立主义	65536	85938	3	{n=0}
-85940	个中	65536	20010	3	{r=5}
-85941	中老年人	65536	89728	3	{n=4}
-85942	中腹之	65539	118349	1	null
-85943	中资企	65950	121368	1	null
-85944	中资企业	65536	85943	3	{n=2}
-85945	串通一	65543	102709	1	null
-85946	中间人	65536	123592	3	{n=1}
-85947	临江会	65536	98590	3	{n=2}
-85948	中西亚	65536	120403	3	{j=0}
-85949	临危不	65536	92208	1	null
-85950	丛书	65536	19995	3	{n=54}
-85951	万户侯	65536	90795	3	{n=0}
-85952	丰功伟	65536	87938	1	null
-85953	丰功传	65538	87938	1	null
-85954	临时代	65565	96949	1	null
-85955	临渴掘井	65536	91032	3	{i=0}
-85956	临立会	65536	102282	3	{j=2}
-85957	丹绒不	65538	98514	1	null
-85958	为之一	65537	86560	1	null
-85959	为什么	65536	86677	3	{r=75}
-85960	为富不	65800	90017	1	null
-85961	为富不仁	65536	85960	3	{i=0}
-85962	为所欲为	65536	92979	3	{i=2}
-85963	为数不	65546	92485	1	null
-85964	为政不	65537	92436	1	null
-85965	串亲	65539	20018	1	null
-85966	为期不	65537	92916	1	null
-85967	为虎作	65707	100899	1	null
-85968	为虎作伥	65536	85967	3	{i=0}
-85969	为非作	65537	105267	1	null
-85970	主办人	65536	105009	3	{n=3}
-85971	主单位	65536	105192	3	{n=0}
-85972	主婚人	65536	106989	3	{n=0}
-85973	主席令	65536	107968	3	{n=3}
-85974	不知人	65539	113270	1	null
-85975	主持人	65536	109204	3	{n=20}
-85976	主营业	65563	117688	1	null
-85977	主观主	65937	119125	1	null
-85978	主观主义	65536	85977	3	{n=3}
-85979	丽人	65536	20029	3	{n=2, nz=0}
-85980	举一反三	65536	87043	3	{i=6}
-85981	丢卒保	65537	87239	1	null
-85982	举不胜举	65536	98524	3	{i=2}
-85983	举国上下	65536	85984	3	{i=0, l=3}
-85984	举国上	66004	89852	1	null
-85985	上告信	65536	94224	3	{n=0}
-85986	举报人	65536	92836	3	{n=3}
-85987	中国人	65538	107473	2	{n=0}
-85988	举棋不	65556	94410	1	null
-85989	举目无亲	65536	91664	3	{i=1}
-85990	不知今	65537	113270	1	null
-85991	乃东	65606	20035	1	null
-85992	久假不	65536	86627	1	null
-85993	久拖不	65538	91378	1	null
-85994	久演不	65536	94512	1	null
-85995	久而久	65953	98856	1	null
-85996	久而久之	65536	85995	3	{i=2}
-85997	义形于	65540	94670	1	null
-85998	不足以	65536	118852	3	{v=3}
-85999	与时俯	65633	91970	1	null
-86000	义正词严	65536	101330	3	{i=0}
-86001	一应俱	65536	89748	1	null
-86002	万念俱	65537	90217	1	null
-86003	万籁俱	65536	97461	1	null
-86004	上下位	65536	92625	3	{n=0}
-86005	与年俱	65536	90048	1	null
-86006	与日俱	65537	91953	1	null
-86007	两败俱	65637	103344	1	null
-86008	义正辞严	65536	102307	3	{i=2}
-86009	之乎者也	65536	98345	3	{i=0}
-86010	中华人	65537	106530	1	null
-86011	之所以	65536	91204	3	{c=46}
-86012	万事俱	65536	85759	1	null
-86013	东方红二	65545	98344	1	null
-86014	乌合之	65768	93711	1	null
-86015	乌合之众	65536	86014	3	{i=0}
-86016	乌咀乡	65536	93831	3	{ns=0}
-86017	乌拉圭东	65536	87873	1	null
-86018	乌斯怀亚	65536	90114	3	{ns=5}
-86019	乌泰他	65539	100087	1	null
-86020	之一	65536	20043	3	{r=202}
-86021	不可企	65536	104064	1	null
-86022	与人	65809	19982	1	null
-86023	乌石乡	65536	102906	3	{ns=2}
-86024	丧乱	65536	20007	3	{n=0}
-86025	乐于助人	65536	86721	3	{i=0, l=1}
-86026	乐此不	65536	99863	1	null
-86027	丹下	65536	20025	3	{nr=0}
-86028	乐观主	65988	107637	1	null
-86029	乐观主义	65536	86028	3	{n=2}
-86030	之上	65536	20043	3	{f=25}
-86031	之下	65536	20043	3	{f=21}
-86032	乒乒乓	65982	86045	1	null
-86033	乒乒乓乓	65536	86032	3	{o=0}
-86034	一边倒	65536	102329	3	{l=1, v=2}
-86035	三班倒	65536	100878	3	{l=0}
-86036	东风压倒	65549	86932	1	null
-86037	两边倒	65536	104004	3	{l=0}
-86038	乔迁之	65536	102416	1	null
-86039	乘人之	65544	86489	1	null
-86040	乘其不	65538	87189	1	null
-86041	九五之	65536	87416	1	null
-86042	不偏不倚	65536	85713	3	{i=0}
-86043	丙亥	65536	19993	3	{m=0}
-86044	丹东	65556	20025	2	{ns=3}
-86045	乒乒	65981	20050	1	null
-86046	乒乓	65538	20050	2	{j=1, o=0}
-86047	东挪西借	65536	100742	3	{i=0}
-86048	九冬会	65536	88208	3	{j=0}
-86049	九死一	65547	94815	1	null
-86050	丧事	65536	20007	3	{n=4}
-86051	九泉之	66073	95149	1	null
-86052	九泉之下	65536	86051	3	{s=0}
-86053	九流三	65539	95269	1	null
-86054	九牛一	65538	96575	1	null
-86055	九运会	65536	104116	3	{j=8}
-86056	九里山乡	65536	89214	3	{ns=0}
-86057	九霄云	65539	105960	1	null
-86058	习以为	65540	87285	1	null
-86059	习焉不	65536	96025	1	null
-86060	乖乖	65536	20054	3	{d=1, e=0, n=0}
-86061	乡下人	65536	87188	3	{n=2}
-86062	九死不	65536	94815	1	null
-86063	丢人	65536	20002	2	{a=1}
-86064	乡巴佬	65536	91261	3	{n=0}
-86065	之中	65536	20043	3	{f=94}
-86066	乡镇企	66073	105424	1	null
-86067	乡镇企业	65536	86066	3	{n=126}
-86068	不可估	65536	104064	1	null
-86069	串会	65536	20018	3	{v=1}
-86070	书信体	65536	104262	3	{n=0}
-86071	书生之	65555	113796	1	null
-86072	书香人	65542	123134	1	null
-86073	买入价	65536	88255	3	{n=4}
-86074	买卖人	65536	88752	3	{n=0}
-86075	乱成一	65541	95808	1	null
-86076	一钱不值	65536	85574	3	{i=1}
-86077	一文不值	65536	85535	3	{i=0}
-86078	乱砍滥伐	65536	93925	3	{l=0}
-86079	一见倾	65539	100801	1	null
-86080	东方人	65536	100059	3	{n=6}
-86081	个人	65881	20010	2	{n=236}
-86082	三角债	65536	106483	3	{l=0, n=1}
-86083	了此一	65548	93623	1	null
-86084	予以	65536	20104	3	{j=1, v=82}
-86085	争名谋位	65536	101409	3	{i=0}
-86086	争妍斗丽	65536	91547	3	{i=0}
-86087	争斤论两	65536	101316	3	{l=0}
-86088	争论不	65848	104259	1	null
-86089	争论不休	65536	86088	3	{l=2}
-86090	事不过三	65536	102393	3	{i=0}
-86091	事事躬亲	65536	102062	3	{i=0}
-86092	事到临	65566	95294	1	null
-86093	事务主义	65536	86097	3	{l=0, n=0}
-86094	事半功倍	65536	86724	3	{i=3}
-86095	事在人	66070	96566	1	null
-86096	事在人为	65536	86095	3	{i=2}
-86097	事务主	66052	95407	1	null
-86098	之乎	65572	20043	1	null
-86099	中间体	65536	123592	3	{n=0}
-86100	事实上	65536	97708	3	{l=22}
-86101	事必躬亲	65536	102064	3	{i=0}
-86102	二不休	65536	98119	3	{i=0}
-86103	二中全会	65536	86438	3	{j=1, n=0}
-86104	二台子乡	65536	88954	3	{ns=0}
-86105	二十五	65603	99451	1	null
-86106	二房东	65536	103289	3	{n=0}
-86107	一不做	65536	85517	3	{i=0}
-86108	二是二	65536	104297	3	{i=0}
-86109	于是乎	65536	92166	3	{c=1}
-86110	二话不	65555	113943	1	null
-86111	于心不	65542	90522	1	null
-86112	了不	65549	20102	1	null
-86113	久久	65536	20037	3	{d=9}
-86114	于事	65572	20110	1	null
-86115	与众	65859	19982	1	null
-86116	亏了	65536	20111	3	{d=1}
-86117	亏心事	65536	90529	3	{n=0}
-86118	与会	65538	19982	2	{v=32, vn=22}
-86119	乞丐	65536	20062	3	{n=0}
-86120	互帮互	65566	92386	1	null
-86121	五中全会	65536	86440	3	{j=3}
-86122	五个一	65537	104414	1	null
-86123	五位一	65817	104705	1	null
-86124	五位一体	65536	86123	3	{j=2, l=0}
-86125	五内俱	65536	105273	1	null
-86126	五大三	65536	107227	1	null
-86127	五日京	65560	110489	1	null
-86128	五毒俱	65602	112006	1	null
-86129	五统一	65536	116883	3	{j=0}
-86130	五里桥乡	65536	92265	3	{ns=4}
-86131	五谷不	65549	120299	1	null
-86132	井冈山下	65582	89222	1	null
-86133	井底之	65536	92079	1	null
-86134	井然不	65536	96848	1	null
-86135	亚凯迪严	65587	102378	1	null
-86136	亚太经社会	65536	96580	3	{j=0}
-86137	亚尔乡	65536	98293	3	{ns=0}
-86138	亚洲一	65610	102675	1	null
-86139	亚的斯亚	65536	91570	1	null
-86140	亚细亚	65536	107175	3	{ns=0, nz=1}
-86141	亚美尼亚	65599	89161	2	{ns=0}
-86142	亚太二	65609	97547	1	null
-86143	亚运会	65536	111537	3	{n=14}
-86144	亡命之	65538	87194	1	null
-86145	亡魂丧	65538	105311	1	null
-86146	交响音乐	65898	104998	2	{n=0}
-86147	交响乐	65546	104887	2	{n=6}
-86148	交响音乐会	65536	86146	3	{n=2}
-86149	交战团体	65536	87795	3	{l=0}
-86150	交换价值	65536	86151	3	{l=0}
-86151	交换价	65610	108620	1	null
-86152	互助会	65536	89437	3	{n=6}
-86153	交流会	65536	111147	3	{n=5}
-86154	交臂失之	65536	88419	3	{i=0}
-86155	交通运输业	65536	102292	3	{n=2}
-86156	亦步亦	65536	93119	1	null
-86157	产业工人	65536	89892	3	{l=0}
-86158	产业群体	65536	98531	3	{n=1}
-86159	亩产	65551	20137	2	{j=0, n=1, v=4, vn=9}
-86160	享乐主	66121	86161	1	null
-86161	享乐	66133	20139	2	{v=1, vn=1}
-86162	享乐主义	65536	86160	3	{n=1}
-86163	亭亭	65542	20141	1	null
-86164	亮眼人	65536	96865	3	{n=0}
-86165	二进位	65536	114965	3	{n=0}
-86166	五谷丰	65536	120299	1	null
-86167	亲痛仇	65538	105655	1	null
-86168	亲笔信	65536	106992	3	{n=2}
-86169	人云亦	66057	109208	1	null
-86170	人云亦云	65536	86169	3	{i=2}
-86171	人代会	65536	109290	3	{j=5}
-86172	人困马乏	65536	105074	3	{i=0}
-86173	人多势众	65536	86734	3	{i=0}
-86174	人大代	65540	111918	1	null
-86175	人寿保	65539	112646	1	null
-86176	人寿年丰	65536	89910	3	{i=0}
-86177	于今	65536	20110	3	{d=0}
-86178	人山人	65538	112760	1	null
-86179	人工流产	65536	93633	3	{l=1}
-86180	人才出众	65536	86621	3	{i=0}
-86181	人文主	66141	115086	1	null
-86182	人文主义	65536	86181	3	{l=1, n=2}
-86183	人心不	65647	113610	1	null
-86184	一储	65536	19968	1	null
-86185	主存储	65536	107243	1	null
-86186	人本主	66146	115507	1	null
-86187	人本主义	65536	86186	3	{n=0}
-86188	人机会	65539	115521	1	null
-86189	人权会	65536	115530	3	{n=1}
-86190	人来人	65545	115564	1	null
-86191	人民团体	65536	89340	3	{l=7}
-86192	人民大会	65537	89921	1	null
-86193	人民战争	65536	92210	3	{n=27}
-86194	人浮于	66089	117109	1	null
-86195	人情世	65537	113868	1	null
-86196	人浮于事	65536	86194	3	{i=3}
-86197	人满为	65537	117480	1	null
-86198	串供	65536	20018	3	{v=1}
-86199	业余	65556	19994	2	{b=49, d=0}
-86200	人琴俱	66072	118843	1	null
-86201	人琴俱亡	65536	86200	3	{i=0}
-86202	人生在世	65536	87877	3	{i=1}
-86203	人莫予	65536	122802	1	null
-86204	人赃俱	65538	125258	1	null
-86205	人身事	65538	125618	1	null
-86206	人道主	66167	126042	1	null
-86207	中央书	65536	108034	1	null
-86208	人道主义	65536	86206	3	{n=16}
-86209	什么	65546	20160	2	{r=310}
-86210	仁者见仁	65536	100823	3	{i=0}
-86211	仁至义	65551	100528	1	null
-86212	仅次于	65536	93514	3	{v=7}
-86213	今儿个	65536	92072	3	{t=0}
-86214	今生今	66225	101256	1	null
-86215	今生今世	65536	86214	3	{i=0}
-86216	从中作	65536	102136	1	null
-86217	从井救人	65536	91473	3	{i=0}
-86218	介绍人	65536	98882	3	{n=0}
-86219	从今以	65630	102293	1	null
-86220	从古到今	65536	86581	3	{l=0}
-86221	从古至今	65536	98808	3	{l=2}
-86222	从容不	65538	105604	1	null
-86223	从容就义	65536	89842	3	{i=1}
-86224	从来不	65536	108592	3	{d=5}
-86225	从此以	65635	109615	1	null
-86226	从那之	65636	119150	1	null
-86227	从难从	66225	120713	1	null
-86228	个位	65536	20010	3	{n=0}
-86229	为数众	65543	92485	1	null
-86230	从难从严	65536	86227	3	{l=0}
-86231	仓盈粮丰	65536	97455	3	{i=0}
-86232	人造丝	65536	125991	3	{n=0}
-86233	仗义	65537	20183	2	{a=0}
-86234	个体	65549	20010	2	{b=0, n=54}
-86235	仗势欺人	65536	92986	3	{i=1}
-86236	他乡人	65536	88201	3	{n=0}
-86237	付之一	65543	87528	1	null
-86238	了事	65536	20102	3	{v=2}
-86239	付款人	65536	94939	3	{n=0}
-86240	付诸东	65558	103317	1	null
-86241	他山之	65537	91801	1	null
-86242	仡佬	65537	20193	1	null
-86243	仆人	65536	20166	3	{n=1}
-86244	代表会	65536	110197	3	{n=1}
-86245	代表大会	65536	88817	3	{n=77}
-86246	代代相传	65536	96010	3	{i=2, l=0}
-86247	代言人	65536	110605	3	{n=3}
-86248	令人钦佩	65536	105677	3	{l=2}
-86249	仔仔	65588	20180	1	null
-86250	以不变应万	65697	89779	1	null
-86251	以势压人	65536	86933	3	{i=0}
-86252	以及人	66213	104583	1	null
-86253	交易会	65536	109309	3	{n=1}
-86254	仅仅	65536	20165	3	{d=41}
-86255	仆仆	65551	20166	1	null
-86256	以及人之	65537	86252	1	null
-86257	以史为	65537	104623	1	null
-86258	以工代	65562	107170	1	null
-86259	以己度人	65536	89780	3	{i=1}
-86260	以攻为	65545	109048	1	null
-86261	以此为	65554	110625	1	null
-86262	以理服人	65536	91928	3	{i=1}
-86263	仆从	65536	20166	3	{n=0}
-86264	为虎傅	65536	100899	1	null
-86265	付之东	65548	87528	1	null
-86266	以至于	65536	116400	3	{c=6}
-86267	以苦为	66220	116643	1	null
-86268	以苦为乐	65536	86267	3	{l=1}
-86269	令人	67623	20196	2	{v=0}
-86270	以讹传	65554	118902	1	null
-86271	以貌取人	65536	87163	3	{i=0}
-86272	以退为	65542	119997	1	null
-86273	以邻为	65536	120184	1	null
-86274	以销定产	65536	89007	3	{l=0}
-86275	以防万一	65536	86277	3	{l=0}
-86276	仪态万	65543	90915	1	null
-86277	以防万	66307	121583	1	null
-86278	仫佬	65538	20203	1	null
-86279	以身作	65546	119656	1	null
-86280	任人唯亲	65536	87348	3	{i=1}
-86281	举报信	65536	92836	3	{n=6}
-86282	亲如一	65543	98398	1	null
-86283	以防不	65549	121583	1	null
-86284	久仰	65572	20037	2	{v=0}
-86285	代理人	65536	104979	3	{n=15}
-86286	任何人	65536	93339	3	{r=12}
-86287	任劳任	65564	94201	1	null
-86288	仿宋体	65536	90551	3	{n=0}
-86289	企业法人	65536	94129	3	{n=0}
-86290	企事业	65536	86624	3	{j=1, n=12}
-86291	中央人	65545	108034	1	null
-86292	伉俪	65536	20233	3	{n=1}
-86293	伊比利亚	65536	86610	3	{ns=0}
-86294	伎俩	65536	20238	3	{n=0}
-86295	企业主	65536	86511	3	{n=3}
-86296	众乡亲	65536	89843	3	{n=1}
-86297	众叛亲	65540	91245	1	null
-86298	仲裁书	65536	100714	3	{n=0}
-86299	休戚与	65639	96023	1	null
-86300	众擎易举	65536	91674	3	{i=0}
-86301	众矢之	65549	100468	1	null
-86302	伍伦	65536	20237	1	null
-86303	优生优	65539	102295	1	null
-86304	严丝	65558	20005	1	null
-86305	优质优	66091	108448	1	null
-86306	优质优价	65536	86305	3	{l=1}
-86307	会做人	65536	105398	3	{l=0}
-86308	伙伴	65559	20249	2	{n=85}
-86309	伛偻	65543	20251	1	null
-86310	代表作	65536	110197	3	{n=7}
-86311	传为佳	65543	104452	1	null
-86312	严严	65548	20005	1	null
-86313	举国体	65548	89852	1	null
-86314	传宗接代	65536	91047	3	{i=0}
-86315	交货值	65536	119313	3	{n=1}
-86316	传道授业	65536	91025	3	{i=0}
-86317	传销价	65536	122570	3	{n=0}
-86318	伤其十指不	65548	90894	1	null
-86319	伤其十指不如断其一	65544	86500	1	null
-86320	伤残人	65618	96936	2	{n=1}
-86321	伤风败俗	65536	101677	3	{i=0}
-86322	伪指令	65536	94743	3	{n=0}
-86323	伪证人	65536	105169	3	{n=0}
-86324	伯仲之	65544	87640	1	null
-86325	估斤算两	65536	97176	3	{l=1}
-86326	亮丑	65536	20142	3	{v=0}
-86327	伶牙俐	65537	95617	1	null
-86328	伺候	65536	20282	3	{v=0}
-86329	众口一	65542	91253	1	null
-86330	似仙非仙	65536	104287	3	{l=1}
-86331	传家之	65557	107904	1	null
-86332	似真似	65782	97072	1	null
-86333	似真似假	65536	86332	3	{l=0}
-86334	低三下	65558	105457	1	null
-86335	一丁点儿	65536	94394	3	{m=1}
-86336	一会儿	65536	85786	3	{m=10}
-86337	一古脑儿	65536	98577	3	{l=0}
-86338	一块儿	65536	87895	3	{d=2, s=1}
-86339	一元	65537	19968	2	{b=0}
-86340	一忽儿	65536	90109	3	{m=0}
-86341	一晃儿	65536	91715	3	{d=1}
-86342	一溜儿	65536	93852	3	{l=1}
-86343	一股劲儿	65536	86709	3	{d=0, n=0}
-86344	一股脑儿	65536	98580	3	{l=1}
-86345	一顺儿	65536	104570	3	{d=0}
-86346	一扫而光	65536	98318	3	{i=0}
-86347	一马当先	65536	89943	3	{i=3}
-86348	三朝元	65536	97598	1	null
-86349	三轮儿	65536	107919	3	{n=0}
-86350	上座儿	65536	96877	3	{n=0}
-86351	下萨克	65536	109219	1	null
-86352	不一会儿	65536	85798	3	{l=4}
-86353	一面儿	65536	104290	1	null
-86354	不会儿	65536	102827	3	{m=0}
-86355	不可偏	65536	104064	1	null
-86356	不可避免	65536	102787	3	{l=15}
-86357	不对茬儿	65536	99117	3	{l=0}
-86358	不是味儿	65536	87156	3	{l=0}
-86359	不祥之兆	65536	85804	3	{i=0}
-86360	中不溜儿	65536	93853	3	{z=0}
-86361	乌兹别克	65536	86573	2	{ns=0}
-86362	中国共产党	65536	85917	3	{n=0}
-86363	丹佛	65536	20025	3	{ns=2}
-86364	两口儿	65536	88686	3	{n=0}
-86365	乌孜别克	65536	86574	3	{nz=0}
-86366	五日京兆	65536	86127	3	{i=0}
-86367	亮光光	65536	87150	3	{z=0}
-86368	亲弟兄	65536	99835	3	{n=0}
-86369	人民政权党	65536	92055	3	{n=0}
-86370	亮丽	65536	20142	3	{a=8, an=1}
-86371	以次充	65539	110558	1	null
-86372	伊尔库茨克	65536	99114	3	{ns=0}
-86373	中低收入	65541	91689	2	{j=0}
-86374	乘虚而入	65536	98352	3	{i=1}
-86375	丝丝入	65536	85923	1	null
-86376	一应俱全	65536	86001	3	{i=5}
-86377	一着不慎全	65537	90446	1	null
-86378	一窥全	65537	96933	1	null
-86379	一中全	65537	85549	1	null
-86380	一大二公	65536	85645	3	{l=2}
-86381	一百单八	65536	86869	1	null
-86382	七上八	65598	85614	1	null
-86383	七嘴八	65536	87704	1	null
-86384	七情六	65536	90409	1	null
-86385	一共	65536	19968	3	{d=8}
-86386	一点儿	65536	94393	3	{m=3}
-86387	一语双关	65536	86991	3	{l=0}
-86388	七手八	65537	90799	1	null
-86389	七扭八	65536	90833	1	null
-86390	七拼八	65536	90976	1	null
-86391	七歪八	65536	93134	1	null
-86392	七老八	65552	98405	1	null
-86393	一拥而入	65536	98320	3	{i=0}
-86394	七零八	65537	104282	1	null
-86395	七高八	65536	105276	1	null
-86396	万变不离其	65536	96699	1	null
-86397	三中全	65538	91214	1	null
-86398	三头六	65537	94037	1	null
-86399	三姑六	65536	94194	1	null
-86400	三灾八	65537	99999	1	null
-86401	三缄其	65540	103717	1	null
-86402	上等兵	65536	104207	3	{n=0}
-86403	不乏其	65548	102624	1	null
-86404	不厌其	65537	103965	1	null
-86405	不如意事常八	65680	89659	1	null
-86406	不完全	65539	106013	1	null
-86407	不无关	65538	108657	1	null
-86408	不胜其	65539	115565	1	null
-86409	不计其	65542	118322	1	null
-86410	专员公	65536	90834	1	null
-86411	两全其	65536	88051	1	null
-86412	中华人民共	65538	93202	1	null
-86413	一再	65536	19968	3	{d=26}
-86414	一而再	65536	98316	3	{i=1}
-86415	一误再	65538	101359	1	null
-86416	中直机关	65536	91983	3	{j=26}
-86417	严于	65539	20005	1	null
-86418	中非共	65539	123954	1	null
-86419	主人公	65536	104013	3	{n=8}
-86420	乌七八	65536	92170	1	null
-86421	乌克兰	65536	93010	3	{ns=23}
-86422	乌兹别克斯坦共	65540	87910	1	null
-86423	乌拉圭东岸共	65541	89272	1	null
-86424	乘隙而入	65536	98353	3	{i=0}
-86425	也门共	65542	103935	1	null
-86426	乱七八	65538	90675	1	null
-86427	三支两军	65536	85626	3	{j=0}
-86428	下中农	65536	95400	3	{n=0}
-86429	不违农	65539	119406	1	null
-86430	上中农	65536	92659	3	{n=0}
-86431	中国人民解放军	65536	91458	3	{n=0}
-86432	三连冠	65536	108031	3	{j=0}
-86433	中革军	65541	123965	1	null
-86434	主力军	65536	105006	3	{n=8}
-86435	义勇军	65536	91443	3	{n=2}
-86436	不白之冤	65536	85791	3	{i=0}
-86437	事不关	65549	94235	1	null
-86438	二中全	65853	98151	1	null
-86439	于心何	65543	90522	1	null
-86440	五中全	65871	104417	1	null
-86441	五十八	65536	105717	3	{m=0, nr=0}
-86442	五毒俱全	65536	86128	3	{l=0}
-86443	五脏六	65536	117443	1	null
-86444	五花八	65544	117861	1	null
-86445	五连冠	65536	121234	3	{j=0}
-86446	五颜六	65548	123472	1	null
-86447	亚特兰	65593	104026	1	null
-86448	亚美尼亚共	65547	86141	1	null
-86449	人名册	65536	110612	3	{n=0}
-86450	一飞冲	65541	104670	1	null
-86451	一决	65536	19968	1	null
-86452	下定决	65548	98837	1	null
-86453	久拖不决	65536	85993	3	{i=1}
-86454	亟待解决	65536	100837	3	{l=4}
-86455	万元	65537	19975	1	null
-86456	东耶路撒冷	65536	91283	3	{ns=1}
-86457	人命关	65600	110724	1	null
-86458	人均收入	65536	91447	3	{n=31}
-86459	人尽其	65604	112708	1	null
-86460	人所共	65541	114247	1	null
-86461	人际关	65540	127564	1	null
-86462	亲家公	65536	98962	3	{n=0}
-86463	人面兽	65555	127849	1	null
-86464	一干二净	65536	85647	3	{i=0}
-86465	不干不净	65536	85750	3	{l=0}
-86466	丁关	65537	19969	1	null
-86467	介乎	65536	20171	3	{v=1}
-86468	仅供	65699	20165	1	null
-86469	乔其	65536	20052	1	null
-86470	一准	65536	19968	3	{d=0}
-86471	五不准	65536	104385	3	{j=1}
-86472	令人齿冷	65536	108454	3	{i=0}
-86473	世态炎凉	65536	94350	3	{i=0}
-86474	仇人	65536	20167	3	{n=1}
-86475	以假乱	65536	103684	1	null
-86476	以偏概全	65536	92547	3	{l=1}
-86477	人工免	65536	113132	1	null
-86478	以售其	65536	104939	1	null
-86479	以强凌	65538	107511	1	null
-86480	以战养	65546	108245	1	null
-86481	七拼八凑	65536	86390	3	{i=0}
-86482	东拼西凑	65536	100741	3	{i=0}
-86483	亮亮	65539	20142	1	null
-86484	伊拉克	65637	99458	2	{ns=384}
-86485	不定冠	65537	106027	1	null
-86486	伊拉克共	65554	86484	1	null
-86487	伊斯兰	65551	100200	2	{ns=24, nz=25}
-86488	休戚与共	65536	86299	3	{i=2}
-86489	乘人	65996	20056	1	null
-86490	休戚相关	65536	96773	3	{i=1}
-86491	份儿	65536	20221	2	{n=3, q=0}
-86492	万全	65560	19975	1	null
-86493	众口交	65541	91253	1	null
-86494	丧假	65536	20007	3	{n=0}
-86495	伟业	65536	20255	3	{n=5, nz=0}
-86496	不知凡几	65536	86781	3	{i=1}
-86497	不同凡	65537	104093	1	null
-86498	两个凡	65541	87221	1	null
-86499	义务兵	65536	91405	3	{n=2}
-86500	伤其十指不如断其	66351	91574	1	null
-86501	伯里兹	65536	104754	3	{n=0}
-86502	但书	65536	20294	3	{n=0}
-86503	严令	65536	20005	1	null
-86504	严以	65540	20005	1	null
-86505	优惠价	65536	97112	3	{n=1}
-86506	以柔克	65541	109713	1	null
-86507	伶仃	65640	20278	1	null
-86508	低人一	65541	105634	1	null
-86509	不足为凭	65536	85827	3	{i=0}
-86510	低价位	65536	105695	3	{n=0}
-86511	企业	66268	20225	2	{n=2329}
-86512	低声下	65549	108248	1	null
-86513	介绍信	65536	98882	3	{n=0}
-86514	低头不	65560	108316	1	null
-86515	低收入	65603	111390	2	{n=8}
-86516	低能儿	65536	118501	3	{n=0}
-86517	低首下	65562	124798	1	null
-86518	体育用品业	65536	87260	3	{n=3}
-86519	体贴入	65538	121106	1	null
-86520	何乐不	66500	94253	1	null
-86521	仪仗	65537	20202	2	{n=1}
-86522	丑态百出	65536	95877	3	{i=1}
-86523	不堪一击	65536	85732	3	{i=0}
-86524	云开日出	65536	91653	3	{l=0}
-86525	人才辈出	65536	102379	3	{i=1}
-86526	何乐不为	65536	86520	3	{i=1, l=0}
-86527	一次函	65536	92961	1	null
-86528	一刀	65537	19968	1	null
-86529	两肋插刀	65536	91091	3	{l=0}
-86530	两面三刀	65536	85898	3	{i=0}
-86531	介于	65536	20171	3	{v=3}
-86532	伞兵	65536	20254	3	{n=0}
-86533	三角函	65537	106483	1	null
-86534	一分	65536	19968	1	null
-86535	一切	65536	19968	3	{b=0, r=177}
-86536	一刀切	65536	86528	3	{l=0, v=4, vn=0}
-86537	一部分	65536	102632	3	{m=60}
-86538	不定积分	65536	96804	3	{n=0}
-86539	不由分	65543	112578	1	null
-86540	不顾一切	65536	85832	3	{i=1}
-86541	丧偶	65536	20007	3	{v=0, vn=0}
-86542	为国分	65536	88786	1	null
-86543	书报刊	65536	109066	3	{n=3}
-86544	为主	65536	20026	3	{v=142}
-86545	二把刀	65536	103364	3	{n=0}
-86546	五年计划	65536	101303	3	{n=3}
-86547	五谷不分	65536	86131	3	{i=1}
-86548	五马分	65536	123936	1	null
-86549	何乐而不	66538	99319	1	null
-86550	佃农	65536	20291	3	{n=0}
-86551	一系列	65536	97531	3	{b=0}
-86552	一一列	65537	85504	1	null
-86553	一则	65536	19968	3	{c=4}
-86554	不平则	65537	106756	1	null
-86555	不规则	65536	117845	3	{a=1, ad=0}
-86556	不进则	65537	119404	1	null
-86557	上下其	65542	92625	1	null
-86558	不预则	65537	121621	1	null
-86559	以柔克刚	65536	86506	3	{i=0}
-86560	为之	65990	20026	1	null
-86561	以柔制刚	65536	86741	3	{i=0}
-86562	以色列	65557	116527	2	{ns=164}
-86563	以身作则	65536	86279	3	{i=14}
-86564	何乐而不为	65536	86549	3	{l=2, n=0}
-86565	何去何	66392	95640	1	null
-86566	何去何从	65536	86565	3	{i=0}
-86567	何尝不	65729	97786	1	null
-86568	何许人	66551	109973	1	null
-86569	一本万利	65536	85543	3	{i=0}
-86570	争名夺利	65536	88400	3	{i=0}
-86571	三大差别	65536	89584	3	{j=0}
-86572	不辞而别	65536	98342	3	{i=0}
-86573	乌兹别	65550	93056	1	null
-86574	乌孜别	65554	95587	1	null
-86575	争权夺利	65536	88401	3	{i=1}
-86576	一储到	65537	86184	1	null
-86577	一天到	65536	88361	1	null
-86578	一抓到	65539	90771	1	null
-86579	从无到	65547	108203	1	null
-86580	万事利	65536	85759	3	{nz=0}
-86581	从古到	66050	103599	1	null
-86582	一国两制	65536	85540	3	{j=62}
-86583	一贯制	65536	101679	3	{l=2, n=0}
-86584	一院制	65536	104034	3	{j=2, n=0}
-86585	一刹	65536	19968	1	null
-86586	一年到	65537	89716	1	null
-86587	一刻	65536	19968	2	{m=14, n=1, t=0}
-86588	一时一刻	65536	85537	3	{l=0}
-86589	七人制	65536	85790	3	{n=4, nz=2}
-86590	三审制	65536	94658	3	{j=0}
-86591	两院制	65536	105709	3	{j=2}
-86592	主客场制	65536	87881	3	{j=0}
-86593	丑八	65538	19985	1	null
-86594	举国体制	65536	86313	3	{l=1, n=0}
-86595	九年制	65536	91480	3	{b=2}
-86596	事业部制	65536	102662	3	{n=1}
-86597	二部制	65536	115234	3	{n=0}
-86598	五人制	65536	104558	3	{n=1}
-86599	互帮互利	65536	86120	3	{l=1}
-86600	五分制	65536	105402	3	{n=0}
-86601	不堪入	65538	105147	1	null
-86602	井田制	65536	97866	3	{n=0}
-86603	今年初	65536	95453	3	{t=6}
-86604	代理配送制	65536	102402	3	{n=3}
-86605	一往无前	65536	91623	3	{i=2}
-86606	一往直前	65536	95995	3	{i=0}
-86607	不久前	65536	102614	3	{t=41}
-86608	代议制	65536	111035	3	{n=1}
-86609	上方宝剑	65536	88997	3	{n=0}
-86610	伊比利	66171	101773	1	null
-86611	从头到	65551	104959	1	null
-86612	佐伯	65536	20304	3	{nr=0}
-86613	仲冬	65536	20210	3	{t=0}
-86614	何许人也	65536	86568	3	{i=1}
-86615	何首乌	65536	113523	3	{n=0}
-86616	余波未停	65536	92082	3	{i=0}
-86617	上方剑	65536	98687	3	{n=0}
-86618	佛得角共	65578	100827	1	null
-86619	为了	65536	20026	3	{p=405, v=4}
-86620	一步到	65536	93029	1	null
-86621	人才出	65933	114260	1	null
-86622	作代会	65536	108104	3	{j=1}
-86623	似乎	65536	20284	3	{c=0, d=70}
-86624	企事	66296	20225	1	null
-86625	作壁上	65562	110630	1	null
-86626	优待券	65536	96765	3	{n=0}
-86627	久假	66011	20037	1	null
-86628	佛罗伦	65536	109227	1	null
-86629	佚事	65536	20314	3	{n=0}
-86630	丸剂	65536	20024	3	{n=0}
-86631	作威作	65540	110950	1	null
-86632	作案人	65536	114605	3	{n=3}
-86633	作登乡	65536	118240	3	{ns=0}
-86634	一剪	65536	19968	1	null
-86635	东北军	65536	95289	3	{n=0}
-86636	作鸟兽	65548	128388	1	null
-86637	佝偻	65544	20317	2	{a=0, n=0, v=0}
-86638	佞人	65536	20318	3	{n=0}
-86639	你一言我一	65574	90664	1	null
-86640	佳音频传	65536	104593	3	{l=1}
-86641	佼佼	65609	20348	1	null
-86642	不可分割	65536	86794	3	{l=5}
-86643	任人宰割	65536	89013	3	{i=0}
-86644	佣人	65536	20323	3	{n=1}
-86645	佐佐	65672	20304	1	null
-86646	伽利	65536	20285	1	null
-86647	例行公	66541	102601	1	null
-86648	例行公事	65536	86647	3	{i=0}
-86649	侏儒	65536	20367	3	{n=0}
-86650	万分	65536	19975	3	{d=6}
-86651	侏罗世	65536	98494	3	{t=4}
-86652	供大于	65537	96226	1	null
-86653	侃侃	65604	20355	2	{d=0, vd=0, z=1}
-86654	三三制	65536	91178	3	{j=0, n=1}
-86655	伟人	65536	20255	3	{n=31}
-86656	供给制	65536	105876	3	{n=0}
-86657	供认不	65536	109151	1	null
-86658	供过于	65538	110210	1	null
-86659	侗乡	65536	20375	3	{n=0}
-86660	依依惜别	65536	91479	3	{l=1}
-86661	依山傍	65545	96646	1	null
-86662	介休	65599	20171	2	{ns=3}
-86663	依达乡	65536	109779	3	{ns=0}
-86664	依依不	65537	93362	1	null
-86665	侣伴	65536	20387	3	{n=0}
-86666	会员制	65536	106420	3	{n=2}
-86667	侦察兵	65536	89238	3	{n=0}
-86668	侨汇券	65536	95450	3	{n=0}
-86669	侵权人	65536	93045	3	{n=0}
-86670	便宜行事	65536	100466	3	{i=0}
-86671	为人	65553	20026	2	{n=1, v=1, vn=0}
-86672	促生产	65536	96395	3	{v=0}
-86673	促进会	65536	103239	3	{n=11}
-86674	侵略军	65536	96663	3	{n=2}
-86675	促膝交	65552	99593	1	null
-86676	俄亥俄	65547	88731	2	{ns=0}
-86677	为什	65919	20026	1	null
-86678	俄克拉何	65551	90831	1	null
-86679	侠义	65536	20384	3	{a=1}
-86680	俄勒冈	65549	89800	1	null
-86681	东山再	65541	97683	1	null
-86682	中国共	65782	107473	1	null
-86683	一力	65536	19968	3	{d=0, nr=0}
-86684	一臂之力	65536	85595	3	{i=1}
-86685	万利	65536	19975	1	null
-86686	一手包办	65536	86816	3	{i=1}
-86687	万有引力	65536	89877	3	{n=0}
-86688	一等功	65536	97097	3	{n=7}
-86689	一得之功	65536	85586	3	{i=0}
-86690	三改一加	65536	85627	1	null
-86691	三等功	65536	102762	3	{n=5}
-86692	上压力	65536	94033	3	{n=0}
-86693	下压力	65536	96774	3	{n=0}
-86694	下大力	65536	98210	3	{v=2}
-86695	下苦功	65555	108897	2	{l=0}
-86696	一动	65537	19968	2	{d=0}
-86697	一举一动	65536	85508	3	{i=2}
-86698	一动不动	65536	85518	3	{i=0}
-86699	不世之功	65536	85687	3	{i=0}
-86700	不为所动	65536	90698	3	{l=0}
-86701	不可抗力	65536	91035	3	{l=1}
-86702	不懈努	65556	107609	1	null
-86703	不懈努力	65536	86702	3	{l=13}
-86704	不自量力	65536	102872	3	{i=0}
-86705	不识时务	65536	91642	3	{i=0}
-86706	不遗余力	65536	85850	3	{i=3}
-86707	一劳	65536	19968	1	null
-86708	一个劲	65536	85546	3	{d=1}
-86709	一股劲	65544	98465	1	null
-86710	不容分	65539	106058	1	null
-86711	丑表功	65536	100670	3	{l=0}
-86712	不辞辛劳	65536	102325	3	{l=1}
-86713	两栖动	65538	93857	1	null
-86714	中办国办	65536	87809	3	{j=0}
-86715	临时代办	65536	85954	3	{n=3}
-86716	主营业务	65536	85976	3	{n=0}
-86717	义务劳动	65536	86817	3	{l=4}
-86718	义务服务	65536	92027	3	{l=4}
-86719	一虎势	65537	99918	1	null
-86720	乏力	65536	20047	3	{a=3, an=0}
-86721	乐于助	65871	92481	1	null
-86722	与其	65536	19982	3	{c=4}
-86723	事倍功	65585	94747	1	null
-86724	事半功	65601	95576	1	null
-86725	二等功	65536	109699	3	{n=10}
-86726	个儿	65536	20010	3	{n=2}
-86727	互帮互助	65536	86120	3	{l=0}
-86728	五卅运动	65536	102355	3	{nz=0}
-86729	五四运动	65536	102370	3	{nz=1}
-86730	两面光	65536	105965	3	{l=0}
-86731	亚布力	65536	98788	3	{ns=0}
-86732	亲和力	65536	97128	3	{n=0}
-86733	不辞劳	65536	119343	1	null
-86734	人多势	65926	111905	1	null
-86735	丝光	65536	19997	3	{b=0}
-86736	不法分	65557	110438	1	null
-86737	乖僻	65536	20054	3	{a=0}
-86738	人头攒动	65536	91417	3	{l=2}
-86739	人心浮动	65536	94216	3	{l=0}
-86740	令人感动	65536	92486	3	{l=3}
-86741	以柔制	65543	109713	1	null
-86742	以资鼓励	65536	106261	3	{l=0}
-86743	人情债	65536	113868	3	{n=5}
-86744	以逸待劳	65536	90024	3	{i=0}
-86745	伏尔加	65551	94006	2	{ns=2, nz=0}
-86746	产业军	65536	93336	3	{n=0}
-86747	伏尔加格勒	65536	92235	3	{ns=0}
-86748	优礼有加	65536	92068	3	{i=1}
-86749	优美加	65536	104966	3	{nz=2}
-86750	低等动	65546	117041	1	null
-86751	优胜劣	65541	105300	1	null
-86752	佑助	65536	20305	3	{v=1}
-86753	体育运动	65536	102423	3	{n=4}
-86754	为伍	65536	20026	3	{v=3}
-86755	业内	65709	19994	2	{d=34}
-86756	业精于勤	65536	85864	3	{i=0}
-86757	作用力	65536	117901	3	{n=1}
-86758	侧压力	65536	94413	3	{n=0}
-86759	佯动	65536	20335	3	{v=0}
-86760	侧蚀力	65536	107458	3	{n=0}
-86761	俊儿们	65536	87320	3	{n=1}
-86762	似仙	65537	20284	1	null
-86763	促使	65536	20419	3	{v=43}
-86764	俚俗	65536	20442	3	{n=0}
-86765	侄儿	65536	20356	3	{n=3}
-86766	保价信	65536	107204	3	{n=0}
-86767	保加利	66646	108141	1	null
-86768	保加利亚	65920	86767	2	{ns=3}
-86769	保加利亚共	65587	86768	1	null
-86770	保国乡	65536	109258	3	{ns=2}
-86771	保坪乡	65536	109367	3	{ns=2}
-86772	保守主义	65536	86775	3	{n=1}
-86773	保护主义	65613	92487	2	{n=12}
-86774	保留剧	65571	117030	1	null
-86775	保守主	66731	110421	1	null
-86776	伶俐	65536	20278	3	{a=0}
-86777	保皇党	65536	117332	3	{n=0}
-86778	保福乡	65536	118108	3	{ns=0}
-86779	保鲜剂	65536	127081	3	{n=1}
-86780	保管人	65536	118638	3	{n=0}
-86781	不知凡	65536	113270	1	null
-86782	俏丽	65536	20431	3	{a=4, an=0}
-86783	一笔勾	65536	97044	1	null
-86784	位于	65536	20301	3	{v=72}
-86785	信以为	65538	107099	1	null
-86786	信仰主	66746	107110	1	null
-86787	信仰主义	65536	86786	3	{n=0}
-86788	信心百倍	65536	95890	3	{l=0}
-86789	三自一包	65536	85637	3	{j=0}
-86790	信访件	65536	122677	3	{n=1}
-86791	俭汤乡	65536	93431	3	{ns=0}
-86792	修旧利	65568	104926	1	null
-86793	修正主	66754	106330	1	null
-86794	不可分	65536	104064	1	null
-86795	修正主义	65536	86793	3	{n=1}
-86796	俯仰由人	65536	96755	3	{i=0}
-86797	俯仰之	65553	87460	1	null
-86798	修身养	65586	115362	1	null
-86799	俯首甘为	65634	95707	1	null
-86800	俱乐	65548	20465	1	null
-86801	倒买倒	65625	105029	1	null
-86802	倒打一	65611	110120	1	null
-86803	倒果为	65557	111473	1	null
-86804	倔头倔	65538	88496	1	null
-86805	候车亭	65536	102558	3	{n=0}
-86806	一体化	65536	85843	3	{n=0, v=27, vd=0, vn=36}
-86807	一元化	65536	86339	3	{v=0}
-86808	一氧化	65536	93223	1	null
-86809	东西南北	65864	86884	2	{l=4}
-86810	个性化	65536	90542	3	{v=2, vn=1}
-86811	中石化	65536	115911	3	{j=0}
-86812	云天化	65536	95720	3	{nz=0}
-86813	世俗化	65536	87535	3	{v=1, vn=0}
-86814	一般化	65536	98860	3	{v=0}
-86815	万劫	65623	19975	1	null
-86816	一手包	65536	90699	1	null
-86817	义务劳	65557	91405	1	null
-86818	亚文化	65536	100712	3	{n=0}
-86819	个体化	65536	86234	3	{vn=0}
-86820	人格化	65536	115779	3	{v=0, vn=0}
-86821	仰韶文化	65536	91532	3	{l=0}
-86822	人性化	65536	113710	3	{v=0, vn=1}
-86823	亚硝化	65536	105534	1	null
-86824	低龄化	65536	126316	3	{n=0, v=1, vn=0}
-86825	候选人	65536	102721	3	{n=16}
-86826	为何	65536	20026	3	{r=22}
-86827	倚官仗	65646	90553	1	null
-86828	俺们	65536	20474	3	{r=6}
-86829	倚官仗势	65536	86827	3	{i=0}
-86830	借债人	65536	103047	3	{n=0}
-86831	借刀杀人	65536	92104	3	{i=0}
-86832	二十八	65536	99451	1	null
-86833	借助于	65536	103670	3	{v=2}
-86834	串列	65536	20018	3	{n=0}
-86835	丰乐	65548	20016	2	{nz=0}
-86836	借古讽今	65536	101329	3	{i=0}
-86837	借此机会	65536	92107	3	{l=6}
-86838	借花献佛	65536	95022	3	{i=0}
-86839	借风使	65538	121627	1	null
-86840	倨傲	66986	20520	1	null
-86841	修理业	65536	108541	3	{n=0}
-86842	专属经济区	65536	93518	3	{nz=0}
-86843	丘陵区	65536	104383	3	{n=0, s=1}
-86844	丛台区	65536	87368	3	{ns=0}
-86845	丑剧	65536	19985	3	{n=0}
-86846	丛林区	65536	92399	3	{n=2}
-86847	东亚区	65536	94140	3	{ns=1}
-86848	东城区	65536	96496	3	{ns=6}
-86849	一五一十	65536	85509	3	{i=1}
-86850	一暴十	65536	91828	1	null
-86851	一刻千	65536	86587	1	null
-86852	一发千	65536	86993	1	null
-86853	一失足成千	65537	90642	1	null
-86854	一掷千	65539	91063	1	null
-86855	一泻千	65537	93435	1	null
-86856	一落千	65594	99389	1	null
-86857	一诺千	65540	101370	1	null
-86858	一半	65536	19968	3	{m=56}
-86859	一多半	65536	88346	3	{m=1}
-86860	一字千	65537	88919	1	null
-86861	一星半	65538	91679	1	null
-86862	一知半	65536	96229	1	null
-86863	一鳞半	65536	105694	1	null
-86864	一目十	65538	95982	1	null
-86865	七老八十	65536	86392	3	{i=0, l=1}
-86866	万古千	65537	87128	1	null
-86867	万户千	65537	90795	1	null
-86868	一年半	65536	89716	1	null
-86869	一百单	65538	95870	1	null
-86870	一虎势单	65536	86719	3	{l=1}
-86871	万水千	65537	93352	1	null
-86872	万紫千	65536	97695	1	null
-86873	万语千	65538	101473	1	null
-86874	一日千	65536	91621	1	null
-86875	三更半	65538	97557	1	null
-86876	三联单	65536	104053	3	{n=0}
-86877	不亢不卑	65536	85705	3	{i=0}
-86878	不管三七二十	65845	85812	1	null
-86879	不远千	65549	119405	1	null
-86880	东宝区	65536	97471	3	{ns=0}
-86881	东昌府区	65536	89758	3	{ns=0}
-86882	丛刊	65536	19995	3	{n=0}
-86883	东营区	65536	107847	3	{ns=0}
-86884	东西南	65538	109217	1	null
-86885	东陵区	65536	112535	3	{ns=0}
-86886	中东地区	65536	87861	3	{n=0}
-86887	中亚地区	65536	87863	3	{n=0}
-86888	中原区	65536	106611	3	{ns=2, s=1}
-86889	中国人民政治协	65536	93372	1	null
-86890	中国消费者协	65669	98315	1	null
-86891	一时半	65536	91638	1	null
-86892	中国红十	65561	98251	1	null
-86893	中国足协	65536	102108	3	{n=0}
-86894	丰台区	65536	88275	3	{ns=2}
-86895	丰富化	65536	90287	3	{v=0, vn=1}
-86896	一步一个脚印	65536	98586	3	{l=2, n=0}
-86897	主产区	65536	103994	3	{n=3}
-86898	主任医	65554	104078	1	null
-86899	一拍即	65536	90829	1	null
-86900	一触即	65537	100838	1	null
-86901	万难不却	65536	85611	3	{i=0}
-86902	主城区	65536	106337	3	{n=1}
-86903	主治医	65569	111694	1	null
-86904	丢盔卸	65538	96329	1	null
-86905	乘人之危	65536	86039	3	{i=1}
-86906	买空卖	65546	98772	1	null
-86907	事倍功半	65536	86723	3	{i=0}
-86908	二七区	65536	98109	3	{ns=1}
-86909	二氧化	65537	105825	1	null
-86910	二进制	65536	114965	3	{n=0}
-86911	于洪区	65536	93953	3	{ns=2}
-86912	云岩区	65536	96616	3	{ns=1}
-86913	五光十	65546	105213	1	null
-86914	中试厂	65536	121001	3	{j=1}
-86915	五指山区	65536	89221	3	{ns=1}
-86916	亚博卢	65536	96059	3	{nz=0}
-86917	亚太地区	65536	88354	3	{j=16}
-86918	交割单	65536	104284	3	{n=1}
-86919	万年历	65536	89832	3	{n=0}
-86920	交白卷	65536	113511	3	{v=0}
-86921	之内	65536	20043	3	{f=24}
-86922	丰产	65544	20016	2	{v=2, vn=3}
-86923	东不压	65538	93999	1	null
-86924	产莲区	65536	107056	3	{n=1}
-86925	人人自危	65536	98801	3	{i=0}
-86926	人心惟危	65536	91001	3	{i=0}
-86927	仓山区	65536	90599	3	{ns=0}
-86928	产品化	65536	95039	3	{v=1, vn=3}
-86929	令人生厌	65536	97606	3	{l=0}
-86930	以一当十	65536	89945	3	{i=0}
-86931	丛刻	65536	19995	3	{n=0}
-86932	东风压	65538	113136	1	null
-86933	以势压	66097	104316	1	null
-86934	人有千	65536	115472	1	null
-86935	丁午	65536	19969	3	{m=0}
-86936	仪器厂	65536	88458	3	{n=5}
-86937	价目单	65536	97356	3	{n=0}
-86938	任城区	65536	95508	3	{ns=0}
-86939	伤其十	65543	90259	1	null
-86940	低气压	65635	113148	1	null
-86941	低气压区	65536	86940	3	{l=0}
-86942	低血压	65536	120360	3	{n=0}
-86943	仆其	65536	20166	3	{nr=0}
-86944	保家卫	65569	110467	1	null
-86945	仪表厂	65536	101258	3	{n=0}
-86946	一厢	65536	19968	1	null
-86947	保税区	65536	118235	3	{n=3}
-86948	会客厅	65536	108286	3	{n=0}
-86949	七十	65549	19971	1	null
-86950	会议厅	65536	120586	3	{n=0}
-86951	不得劲	65536	107048	3	{a=0}
-86952	俊俏	65536	20426	3	{a=2}
-86953	估价单	65536	87299	3	{n=0}
-86954	保修包	65536	107451	1	null
-86955	信号兵	65536	108397	3	{n=0}
-86956	不可动	65536	104064	1	null
-86957	住宅区	65536	92527	3	{n=3}
-86958	修配厂	65536	116036	3	{n=2}
-86959	倒买倒卖	65536	86801	3	{l=0}
-86960	俯拾即	65563	92594	1	null
-86961	倚老卖	65637	99874	1	null
-86962	个别	65544	20010	2	{a=43, ad=0, an=1, b=2, r=0}
-86963	中央党	65537	108034	1	null
-86964	伐区	65536	20240	3	{n=0}
-86965	会员卡	65536	106420	3	{n=2}
-86966	借款人	65536	109963	3	{n=7}
-86967	倨傲不	65536	86840	1	null
-86968	休息厅	65536	95596	3	{n=0}
-86969	值得一	65537	90561	1	null
-86970	倍儿	65536	20493	3	{d=0}
-86971	一去	65539	19968	1	null
-86972	一怒而去	65536	98325	3	{l=0}
-86973	一来二去	65536	85650	3	{i=0}
-86974	丁卯	65536	19969	3	{b=0, m=0}
-86975	万安县	65536	89085	3	{ns=2}
-86976	万载县	65536	102385	3	{ns=0}
-86977	三原县	65536	92608	3	{ns=0}
-86978	上杭县	65536	99123	3	{ns=0}
-86979	上犹县	65536	102015	3	{ns=0}
-86980	上蔡县	65536	106727	3	{ns=3}
-86981	上饶县	65536	111932	3	{ns=0}
-86982	上高县	65536	112286	3	{ns=2}
-86983	东丰县	65536	94034	3	{ns=0}
-86984	东平县	65536	98197	3	{ns=2}
-86985	东乡县	65536	94083	3	{ns=1}
-86986	不可企及	65536	86021	3	{i=0}
-86987	东源县	65536	102322	3	{ns=0}
-86988	一箭双	65536	97197	1	null
-86989	一反	65536	19968	1	null
-86990	万博	65537	19975	2	{nz=3}
-86991	一语双	65536	101357	1	null
-86992	东海县	65536	102041	3	{ns=2}
-86993	一发	65537	19968	2	{d=0}
-86994	一触即发	65536	86900	3	{i=2}
-86995	东窗事发	65536	85874	3	{i=0}
-86996	一言不发	65536	85615	3	{i=0}
-86997	中卫县	65536	106559	3	{ns=2}
-86998	中牟县	65536	114483	3	{ns=0}
-86999	中甸县	65536	115212	3	{ns=1}
-87000	一成不变	65536	85529	3	{i=6}
-87001	七七事变	65536	85656	3	{nz=0}
-87002	丰润县	65536	94857	3	{ns=1}
-87003	临场发	65537	93177	1	null
-87004	临朐县	65536	97231	3	{ns=0}
-87005	临机应变	65536	89765	3	{i=0}
-87006	临桂县	65536	97537	3	{ns=1}
-87007	临洮县	65536	98797	3	{ns=2}
-87008	临漳县	65536	99314	3	{ns=2}
-87009	临澧县	65536	99430	3	{ns=0}
-87010	临猗县	65536	100310	3	{ns=0}
-87011	一口	65537	19968	1	null
-87012	一古	65536	19968	1	null
-87013	一失足成千古	65536	86853	1	null
-87014	三岔路口	65536	101873	3	{s=0}
-87015	三缄其口	65536	86401	3	{i=1}
-87016	不识时变	65536	91642	3	{i=1}
-87017	专业对口	65536	89347	3	{l=0}
-87018	临西县	65536	106046	3	{ns=0}
-87019	丹江口	65557	93791	2	{ns=0}
-87020	丑化	65536	19985	3	{v=1}
-87021	主谓句	65536	119718	3	{n=0}
-87022	丽江县	65536	93568	3	{ns=0}
-87023	不置可	65536	115199	1	null
-87024	一中一台	65536	85507	3	{j=5, l=0}
-87025	上下半	65537	92625	1	null
-87026	下不了台	65536	85756	3	{l=0}
-87027	中央人民广播电台	65536	95543	3	{n=0}
-87028	中央军	65537	108034	2	{n=0}
-87029	中央气象台	65536	101474	3	{n=0}
-87030	一叶	65536	19968	1	null
-87031	一号	65537	19968	1	null
-87032	万洲号	65536	93606	3	{nz=0}
-87033	不完全叶	65536	86406	3	{l=0}
-87034	万历	65536	19975	3	{nz=2, t=0}
-87035	不等号	65536	114138	3	{n=0}
-87036	专名号	65536	90759	3	{n=0}
-87037	东方红一号	65536	85873	3	{nz=0}
-87038	东方红三号	65536	85882	3	{nz=0}
-87039	业务	65552	19994	2	{b=1, n=208}
-87040	东方红二号	65536	86013	1	null
-87041	中央电视台	65536	100814	3	{n=0}
-87042	中签号	65536	116818	3	{n=0}
-87043	举一反	66003	87551	1	null
-87044	举世无双	65536	91648	3	{i=1}
-87045	乃东县	65536	85991	3	{ns=1}
-87046	乌鲁木齐县	65536	106323	3	{ns=2}
-87047	义无反	65539	96332	1	null
-87048	一拍即合	65536	86899	3	{i=1}
-87049	万事大吉	65536	88370	3	{i=2}
-87050	三结合	65536	103668	3	{j=4}
-87051	不符合	65543	114103	1	null
-87052	一同	65536	19968	3	{d=12}
-87053	一举成名	65536	90644	3	{i=0}
-87054	一文不名	65536	85535	3	{i=0}
-87055	一视同	65536	100806	1	null
-87056	一吐	65537	19968	1	null
-87057	一向	65536	19968	3	{d=22}
-87058	不久以后	65536	85735	3	{l=1}
-87059	三思而后	65542	98327	1	null
-87060	万事吉	65536	85759	3	{nz=3}
-87061	不甘落后	65536	99391	3	{l=2}
-87062	不知去向	65536	87255	3	{i=1}
-87063	不约而同	65536	98338	3	{i=9}
-87064	与众不同	65536	85840	3	{i=3}
-87065	不谋而合	65536	98341	3	{i=0}
-87066	与此同	65542	93360	1	null
-87067	上半叶	65536	93968	3	{t=3}
-87068	不可一日无此君	65536	93036	3	{i=1, n=0}
-87069	不谋而同	65536	98341	3	{i=1}
-87070	严丝合	65536	86304	1	null
-87071	中置同	65537	117826	1	null
-87072	专业化	65536	89236	3	{v=9, vd=1, vn=9}
-87073	举世闻名	65536	103963	3	{i=4}
-87074	世上	65536	19990	3	{s=4}
-87075	久仰大名	65536	88395	3	{l=0}
-87076	久慕盛名	65536	95963	3	{i=0}
-87077	久负盛名	65536	95964	3	{l=5}
-87078	不置可否	65536	87023	3	{i=0}
-87079	久闻大名	65536	88396	3	{l=0}
-87080	乐不可	65538	92352	1	null
-87081	乐亭县	65536	92512	3	{ns=0}
-87082	乐安县	65536	95804	3	{ns=0}
-87083	九江县	65536	95043	3	{ns=0}
-87084	乡宁县	65536	90634	3	{ns=0}
-87085	一声不吭	65536	85521	3	{l=1}
-87086	世世	65656	19990	1	null
-87087	书名号	65536	105330	3	{n=0}
-87088	乒乓球台	65536	95237	3	{n=1}
-87089	争先恐后	65536	90192	3	{i=6}
-87090	书法史	65536	111674	3	{n=1}
-87091	万县	65536	19975	2	{ns=3}
-87092	争风吃	65536	107607	1	null
-87093	二十五史	65536	86105	3	{l=0}
-87094	二十四史	65536	88224	3	{l=0}
-87095	于都县	65536	103124	3	{ns=1}
-87096	上呼吸	65538	94274	1	null
-87097	五台县	65536	105892	3	{ns=3}
-87098	二人台	65536	98292	3	{n=0}
-87099	五莲县	65536	118118	3	{ns=0}
-87100	井冈山下后	65536	86132	3	{i=0}
-87101	井陉县	65536	106339	3	{ns=1}
-87102	亘古	65548	20120	2	{n=3}
-87103	中国化	65536	107473	3	{v=0}
-87104	亚太二号	65536	86142	3	{nz=0}
-87105	亚洲一号	65536	86138	3	{nz=0}
-87106	交口县	65536	104653	3	{ns=3}
-87107	交朋友	65536	109557	3	{l=4}
-87108	交货单	65536	119313	3	{n=0}
-87109	交道口	65536	120125	3	{ns=1}
-87110	东山区	65536	97683	3	{ns=0}
-87111	久别	65551	20037	2	{v=0}
-87112	五彩纷呈	65536	97979	3	{l=0}
-87113	亦可	65536	20134	3	{v=3}
-87114	乞哀告	65536	87831	1	null
-87115	产销合	65601	111486	1	null
-87116	万变	65624	19975	1	null
-87117	产销合同	65536	87115	3	{n=1}
-87118	亲如兄	65537	98398	1	null
-87119	京山县	65536	95264	3	{ns=0}
-87120	亲朋好友	65536	88447	3	{l=5}
-87121	之前	65536	20043	3	{f=87}
-87122	人工呼吸	65536	87292	3	{l=0}
-87123	人心不古	65536	86183	3	{i=0}
-87124	七台	65536	19971	1	null
-87125	产业化	65538	93336	2	{an=0, n=0, v=26, vd=1, vn=70}
-87126	人心所向	65536	91354	3	{i=3}
-87127	人欢马叫	65536	105076	3	{i=0}
-87128	万古	65551	19975	2	{n=2}
-87129	专管员	65536	100891	3	{n=4}
-87130	七叶	65537	19971	1	null
-87131	中央委员	65536	89133	3	{n=5}
-87132	一命呜	65538	87165	1	null
-87133	中西医	65536	120403	3	{j=7}
-87134	主任委员	65536	88587	3	{n=3}
-87135	乘务员	65536	87488	3	{n=12}
-87136	书记员	65536	119573	3	{n=2}
-87137	人物史	65536	118384	3	{n=1}
-87138	人言可	65536	124423	1	null
-87139	仁化县	65536	88531	3	{ns=0}
-87140	仁寿县	65536	90812	3	{ns=0}
-87141	仅供参	65587	86468	1	null
-87142	仁人君	65599	87415	1	null
-87143	丹剧	65536	20025	3	{n=0}
-87144	业务员	65536	87039	3	{n=2}
-87145	亿吨	65548	20159	1	null
-87146	世乒	65536	19990	1	null
-87147	人造冰	65536	125991	3	{n=0}
-87148	从今以后	65536	86219	3	{l=0}
-87149	交叉口	65536	104627	3	{n=4, s=0}
-87150	亮光	65558	20142	2	{n=0}
-87151	个人化	65536	86081	3	{v=1, vn=1}
-87152	习习	65536	20064	3	{z=0}
-87153	从此以后	65536	86225	3	{l=0}
-87154	从那之后	65536	86226	3	{l=0}
-87155	一味	65536	19968	3	{d=11, m=0}
-87156	不是味	65559	108736	1	null
-87157	乐呵呵	65536	93992	3	{z=7}
-87158	仙游县	65536	95747	3	{ns=1}
-87159	令人作呕	65536	87939	3	{i=0}
-87160	以不变	65567	103114	1	null
-87161	以不变应万变	65536	86250	3	{l=2, n=0}
-87162	以观后	65540	118399	1	null
-87163	以貌取	66117	119113	1	null
-87164	一呼	65538	19968	1	null
-87165	一命	65536	19968	1	null
-87166	一命呜呼	65536	87132	3	{i=0}
-87167	不辱使命	65536	85887	3	{i=2}
-87168	临危授命	65536	91448	3	{i=0}
-87169	为民请命	65536	101376	3	{i=1}
-87170	一气呵	65539	93204	1	null
-87171	乐天知命	65536	96239	3	{i=0}
-87172	乡土味	65536	89512	3	{n=0}
-87173	万向	65536	19975	3	{nz=1}
-87174	产业革命	65536	104616	3	{l=0}
-87175	产品名	65536	95039	3	{n=1}
-87176	仰八叉	65536	88126	3	{n=0}
-87177	代理制	65536	104979	3	{n=1}
-87178	仰天长叹	65536	103885	3	{i=0}
-87179	丝包	65560	19997	1	null
-87180	一唱一和	65536	85510	3	{i=1}
-87181	一团和	65538	87778	1	null
-87182	中华人民共和	65541	86412	1	null
-87183	中非共和	65543	86418	1	null
-87184	乌兹别克斯坦共和	65548	86422	1	null
-87185	乌拉圭东岸共和	65549	86423	1	null
-87186	也门共和	65551	86425	1	null
-87187	乘兴	65571	20056	2	{d=1}
-87188	乡下	65907	20065	2	{ns=0, s=16}
-87189	乘其	66059	20056	1	null
-87190	两下	65564	20004	1	null
-87191	亚美尼亚共和	65552	86448	1	null
-87192	乏味	65536	20047	3	{a=1, an=0}
-87193	从业员	65536	102117	3	{n=0}
-87194	亡命	66101	20129	2	{v=0}
-87195	价值千	65554	87450	1	null
-87196	万吨	65537	19975	1	null
-87197	伊川县	65536	98198	3	{ns=0}
-87198	伊拉克共和	65558	86486	1	null
-87199	以假充	65537	103684	1	null
-87200	休宁县	65536	94334	3	{ns=0}
-87201	两世	65855	20004	1	null
-87202	众所周	65543	94930	1	null
-87203	世事	65536	19990	3	{n=3}
-87204	会昌县	65536	110952	3	{ns=2}
-87205	会理县	65536	114530	3	{ns=0}
-87206	中外古	65752	108010	1	null
-87207	众议员	65536	105536	3	{n=6}
-87208	传呼台	65536	106054	3	{n=0}
-87209	伤天害命	65536	89031	3	{i=0}
-87210	伤残人员	65536	86320	3	{n=2}
-87211	价位	65536	20215	3	{n=7}
-87212	伤病员	65536	99554	3	{n=3}
-87213	一口咬	65537	87011	1	null
-87214	低级趣味	65536	101797	3	{i=1}
-87215	严冬	65536	20005	3	{n=0, t=12}
-87216	何尝不可	65536	86567	3	{l=0}
-87217	余干县	65536	105920	3	{ns=0}
-87218	什刹	65539	20160	1	null
-87219	估产	65536	20272	3	{v=0}
-87220	余庆县	65536	105940	3	{ns=0}
-87221	两个	65537	20004	1	null
-87222	佛得角共和	65563	86618	1	null
-87223	佳妙无双	65536	91714	3	{l=0}
-87224	供应司	65536	97615	3	{n=2}
-87225	依稀可	65564	104213	1	null
-87226	传播发	65539	110199	1	null
-87227	供销员	65536	111547	3	{n=0}
-87228	世交	65536	19990	3	{n=0}
-87229	侦查员	65536	92316	3	{n=2}
-87230	丙午	65536	19993	3	{m=0}
-87231	保加利亚共和	65568	86769	1	null
-87232	保康县	65536	111236	3	{ns=0}
-87233	一品	65537	19968	2	{b=5}
-87234	一等品	65536	97097	3	{n=0}
-87235	一级品	65536	97959	3	{n=0}
-87236	一哄	65537	19968	1	null
-87237	专利品	65536	90275	3	{n=0}
-87238	丝织品	65536	98381	3	{n=0}
-87239	丢卒	65536	20002	1	null
-87240	不哼不哈	65536	85727	3	{i=0}
-87241	主副食品	65536	104673	3	{n=2}
-87242	中外合	65537	108010	1	null
-87243	东山县	65536	97683	3	{ns=0}
-87244	主食品	65536	122994	3	{n=0}
-87245	一声不响	65536	85521	3	{l=0}
-87246	不同凡响	65536	86497	3	{i=6}
-87247	不声不响	65536	85730	3	{i=3, l=0}
-87248	乱乱哄哄	65536	87289	3	{z=0}
-87249	乱哄哄	65536	92404	3	{z=0}
-87250	世人	65536	19990	3	{n=18}
-87251	乳制品	65536	91908	3	{n=4}
-87252	代替品	65536	101644	3	{n=0}
-87253	代用品	65536	105269	3	{n=0}
-87254	个协	65536	20010	3	{j=0}
-87255	不知去	65541	113270	1	null
-87256	优哉游哉	65536	93756	3	{i=0}
-87257	传销商品	65536	87932	3	{n=0}
-87258	介入	65536	20171	3	{v=9, vn=2}
-87259	伪造品	65536	106288	3	{n=0}
-87260	体育用品	66524	95599	1	null
-87261	侦听台	65536	87267	3	{n=0}
-87262	保健食品	65536	104943	3	{n=17}
-87263	世仇	65536	19990	3	{n=0}
-87264	保靖县	65536	125731	3	{ns=2}
-87265	主席台	65536	107968	3	{n=5}
-87266	保安员	65536	110422	3	{n=0}
-87267	侦听	65773	20390	1	null
-87268	保育员	65536	119935	3	{n=0}
-87269	丙卯	65536	19993	3	{m=0}
-87270	优等品	65536	103873	3	{n=2}
-87271	伯南布哥	65541	89682	2	{ns=2}
-87272	乘凉	65536	20056	3	{v=0}
-87273	保证书	65536	122766	3	{n=0}
-87274	乡乡	65550	20065	2	{n=0, q=1}
-87275	信丰县	65536	106918	3	{ns=1}
-87276	修武县	65536	106333	3	{ns=1}
-87277	九三	65552	20061	1	null
-87278	俯首听命	65536	87279	3	{i=0}
-87279	俯首听	65649	106570	1	null
-87280	代数和	65536	101245	3	{n=0}
-87281	信阳县	65536	125353	3	{ns=0}
-87282	乞力	65539	20062	1	null
-87283	俳句	65536	20467	3	{n=0}
-87284	倒胃口	65536	117912	3	{v=0}
-87285	习以	66032	20064	1	null
-87286	信贷员	65536	123053	3	{n=0}
-87287	候补委员	65536	88542	3	{l=6}
-87288	倚仗	65536	20506	3	{v=1}
-87289	乱乱哄	65548	90785	1	null
-87290	仿制品	65536	88162	3	{n=1}
-87291	世代	65538	19990	2	{n=5}
-87292	人工呼	65562	113132	1	null
-87293	人民代	65541	116760	1	null
-87294	串口	65536	20018	3	{j=0}
-87295	借题发	65538	121573	1	null
-87296	债务人	65536	88894	3	{n=1}
-87297	倾国倾	65543	93567	1	null
-87298	保险业	65536	125494	3	{n=5}
-87299	估价	65620	20272	2	{n=1, v=0, vn=2}
-87300	债权人	65536	94176	3	{n=4}
-87301	保险丝	65536	125494	3	{n=0}
-87302	仁义	65554	20161	2	{a=0, n=0}
-87303	借书单	65536	102579	3	{n=0}
-87304	丝厂	65536	19997	3	{n=1}
-87305	倡议书	65536	101300	3	{n=2}
-87306	倾城倾	65573	93776	1	null
-87307	你一	65544	20320	1	null
-87308	信用卡	65536	116894	3	{n=3}
-87309	值班员	65536	95767	3	{n=1}
-87310	值勤	65536	20540	3	{v=8, vn=1}
-87311	倾家荡产	65536	99169	3	{i=1}
-87312	不可同	65548	104064	1	null
-87313	不可名	65536	104064	1	null
-87314	倾巢出	66155	95332	1	null
-87315	倾巢出动	65536	87314	3	{i=0}
-87316	严刑	65536	20005	3	{n=1}
-87317	不可向	65536	104064	1	null
-87318	倾心尽力	65536	89414	3	{i=0}
-87319	倾箱倒	65536	102963	1	null
-87320	俊儿	66557	20426	2	{n=1}
-87321	倾心吐	65539	95813	1	null
-87322	乒协	65536	20050	3	{j=1}
-87323	倍加	65536	20493	3	{d=0}
-87324	假仁假	67285	104954	1	null
-87325	为先	65536	20026	3	{v=0}
-87326	假仁假义	65536	87324	3	{i=0}
-87327	假冒伪	66173	105675	1	null
-87328	假冒伪劣	65632	87327	2	{j=27, l=0}
-87329	假冒伪劣品	65536	87328	3	{n=0}
-87330	假戏真做	65536	96034	3	{i=0}
-87331	假手于	67178	109956	1	null
-87332	假手于人	65536	87331	3	{i=0}
-87333	假模假	65548	111962	1	null
-87334	倘佯	65536	20504	3	{v=2}
-87335	假眉三	65559	115266	1	null
-87336	假门假	67230	123169	1	null
-87337	假门假事	65536	87336	3	{l=0}
-87338	优惠券	65536	97112	3	{n=0}
-87339	假面具	65536	123547	3	{n=0}
-87340	偎依	65536	20558	3	{v=0}
-87341	偏听偏	66893	104530	1	null
-87342	偏听偏信	65536	87341	3	{i=2}
-87343	偏安一	65541	106415	1	null
-87344	偏振光	65536	108373	3	{n=0}
-87345	一唱	65542	19968	1	null
-87346	偕同	65536	20565	3	{v=0}
-87347	仪刑	65536	20202	3	{n=0}
-87348	任人唯	66134	93184	1	null
-87349	乙丑	65536	20057	3	{b=0, m=0}
-87350	倘使	65536	20504	3	{c=0}
-87351	做一天和	65548	88485	1	null
-87352	你中	65713	20320	1	null
-87353	仓促	65536	20179	3	{a=0, ad=2}
-87354	做一天和尚撞一	65661	91294	1	null
-87355	乡亲	65536	20065	3	{n=66}
-87356	估估	65536	20272	3	{v=0}
-87357	保证人	65536	122766	3	{n=5}
-87358	停滞不	66290	111772	1	null
-87359	停滞不前	65536	87358	3	{i=6}
-87360	停车位	65536	120100	3	{n=2}
-87361	九九	65536	20061	1	null
-87362	偶一为	67320	91093	1	null
-87363	偶一为之	65536	87362	3	{i=0}
-87364	偷奸取	65541	104834	1	null
-87365	偷工减	65543	105967	1	null
-87366	中国人民政治协商	65666	86889	1	null
-87367	傀儡	65574	20608	2	{n=1}
-87368	丛台	65538	19995	1	null
-87369	二重唱	65536	115463	3	{n=0}
-87370	傈僳	65548	20616	1	null
-87371	偿付	65536	20607	3	{v=0, vn=0}
-87372	傅全	65735	20613	1	null
-87373	佩刀	65536	20329	3	{n=0}
-87374	不可告	65570	104064	1	null
-87375	仗势	65536	20183	1	null
-87376	储油区	65536	96802	3	{n=1}
-87377	催人泪下	65536	93534	3	{i=3}
-87378	储蓄员	65536	102957	3	{n=0}
-87379	催化剂	65536	96508	3	{n=2}
-87380	催吐剂	65536	96758	3	{n=0}
-87381	催奶剂	65536	98140	3	{n=0}
-87382	傻乎乎	65536	93930	3	{z=0}
-87383	傻儿巴叽	65536	89601	3	{z=0}
-87384	傻劲儿	65536	95054	3	{n=0}
-87385	傻呵呵	65536	95505	3	{z=0}
-87386	傻头傻	65540	96720	1	null
-87387	傻里傻	65554	111208	1	null
-87388	像模像	65552	92718	1	null
-87389	僧侣主	67349	87676	1	null
-87390	僧侣主义	65536	87389	3	{n=0}
-87391	儒林外史	65536	88488	3	{nz=0}
-87392	元器件	65536	106421	3	{n=0}
-87393	元谋猿人	65536	95040	3	{l=0, n=0}
-87394	充填剂	65536	96089	3	{n=0}
-87395	充耳不	65549	106273	1	null
-87396	充要条件	65536	92129	3	{l=0}
-87397	先下手为	65540	90725	1	null
-87398	先人后	65653	106894	1	null
-87399	买不	65542	20080	1	null
-87400	保健员	65536	107570	3	{n=0}
-87401	先入为	67375	107577	1	null
-87402	先入为主	65536	87401	3	{i=0}
-87403	催泪剂	65536	103120	3	{n=0}
-87404	习作	65536	20064	3	{n=0, v=0}
-87405	先决条件	65536	92130	3	{n=9}
-87406	侦察员	65536	89238	3	{n=0}
-87407	先发制	67255	108197	1	null
-87408	主办员	65536	105009	3	{n=4}
-87409	先发制人	65536	87407	3	{i=0}
-87410	与否	65536	19982	3	{u=12}
-87411	先声夺人	65536	88490	3	{i=1}
-87412	先天下之	65547	87498	1	null
-87413	先斩后	65629	112765	1	null
-87414	世界史	65536	97124	3	{n=4}
-87415	仁人	65611	20161	1	null
-87416	九五	65998	20061	2	{j=7, m=47}
-87417	先来后	66378	113209	1	null
-87418	先来后到	65536	87417	3	{i=0}
-87419	先睹为	65548	117325	1	null
-87420	先知先	65559	117433	1	null
-87421	先礼后	66569	117776	1	null
-87422	先礼后兵	65536	87421	3	{i=1}
-87423	先见之	65605	122005	1	null
-87424	交换台	65536	108620	3	{n=0}
-87425	供应品	65536	97615	3	{n=0}
-87426	交响协	65554	104887	1	null
-87427	伸伸	65536	20280	3	{v=0}
-87428	一完善	65536	88972	3	{j=0}
-87429	与人为善	65536	85835	3	{i=0}
-87430	先驱新党	65536	91734	3	{n=1}
-87431	仿佛	65536	20223	3	{d=28, v=11}
-87432	光乎乎	65536	110797	3	{z=0}
-87433	光亮亮	65536	110893	3	{z=0}
-87434	乡企	65536	20065	3	{j=0}
-87435	儿童剧	65536	98817	3	{n=1}
-87436	光前裕后	65536	100565	3	{i=0}
-87437	仰人	65537	20208	1	null
-87438	光化作	65594	112021	1	null
-87439	两用品	65536	97203	3	{n=0}
-87440	光合作	65596	112263	1	null
-87441	万马齐喑	65536	106321	3	{i=0}
-87442	光天化	65650	113576	1	null
-87443	僧人	65536	20711	3	{n=11}
-87444	你争	65562	20320	1	null
-87445	买主	65536	20080	3	{n=5}
-87446	光山县	65536	114416	3	{ns=0}
-87447	侵入	65536	20405	3	{v=4, vn=1}
-87448	先进县	65536	123567	3	{n=8}
-87449	不容置喙	65536	98334	3	{i=0}
-87450	价值	65880	20215	2	{n=187, v=0}
-87451	为准	65536	20026	3	{v=0}
-87452	乔迁之喜	65536	86038	3	{i=2}
-87453	光彩照人	65536	94682	3	{l=1}
-87454	佩剑	65536	20329	3	{n=0}
-87455	光杆司令	65536	88153	3	{n=0}
-87456	光杆儿	65536	117189	3	{n=0}
-87457	严办	65536	20005	3	{v=0}
-87458	仁以	65537	20161	1	null
-87459	严加	65536	20005	3	{d=0, v=1, vd=5}
-87460	俯仰	66754	20463	2	{v=1}
-87461	两会	65536	20004	3	{j=3}
-87462	光照千	65987	119782	1	null
-87463	光照千古	65536	87462	3	{l=0}
-87464	光纤通信	65536	102436	3	{n=3}
-87465	光芒万丈	65536	87550	3	{i=0}
-87466	仰仗	65536	20208	3	{v=0}
-87467	付与	65536	20184	3	{v=0}
-87468	光解作	65605	126050	1	null
-87469	光阴似	65537	129203	1	null
-87470	光通信	65536	127641	3	{n=1}
-87471	克利夫兰	65536	88495	3	{nz=0}
-87472	克勤克	67012	104602	1	null
-87473	克勤克俭	65536	87472	3	{i=0}
-87474	克己奉公	65536	88558	3	{i=2}
-87475	克拉别克	65536	87479	3	{n=0}
-87476	克拉斯诺亚	65573	101404	1	null
-87477	克拉斯诺亚尔斯克	65536	91589	3	{ns=1}
-87478	伯乐	65555	20271	2	{n=0, nr=0}
-87479	克拉别	66664	108671	1	null
-87480	克拉玛依	65640	96039	2	{ns=7}
-87481	克敌制	65540	109314	1	null
-87482	光谱仪	65536	126640	3	{n=1}
-87483	不可理喻	65536	95498	3	{i=0}
-87484	不言而喻	65536	98624	3	{i=2}
-87485	克格勃	65536	110066	3	{n=0}
-87486	克罗地亚	66638	87885	2	{ns=7}
-87487	克罗地亚共	65845	87486	1	null
-87488	乘务	65543	20056	2	{b=0}
-87489	克罗地亚共和	65574	87487	1	null
-87490	丹参	65536	20025	3	{n=3}
-87491	克莱斯勒	65536	91592	3	{nz=0}
-87492	免不了	65536	98887	3	{v=1}
-87493	克隆人	65536	121916	3	{n=2}
-87494	免开尊口	65536	89147	3	{i=0}
-87495	了却	65551	20102	2	{v=1}
-87496	党代会	65536	105728	3	{j=3}
-87497	乙亥	65536	20057	3	{m=0}
-87498	先天下	67369	109565	1	null
-87499	党代表大会	65536	88502	3	{n=1}
-87500	先天不	65544	109565	1	null
-87501	免疫力	65536	109029	3	{n=0}
-87502	兑换券	65536	93150	3	{n=0}
-87503	党同伐	65543	107049	1	null
-87504	党团员	65536	107775	3	{j=0}
-87505	保健品	65536	107570	3	{n=4}
-87506	党外人	65540	108339	1	null
-87507	党政机关	65536	93131	3	{n=30}
-87508	兢兢	67515	20834	1	null
-87509	兢兢业	67517	87508	1	null
-87510	亭台	65538	20141	1	null
-87511	兢兢业业	65536	87509	3	{i=7}
-87512	党群关	65543	118209	1	null
-87513	入不敷出	65536	91518	3	{i=0}
-87514	入主出	65603	110682	1	null
-87515	入乡随俗	65536	104079	3	{i=1}
-87516	入土为	65749	112958	1	null
-87517	入境问俗	65536	104030	3	{i=0}
-87518	乘势	65536	20056	3	{d=1}
-87519	入情入	65546	115428	1	null
-87520	入场券	65536	112985	3	{n=2}
-87521	入木三	66524	117063	1	null
-87522	入木三分	65536	87521	3	{i=1}
-87523	入海口	65536	118678	3	{n=2}
-87524	全力以	65537	113229	1	null
-87525	全劳动	66379	113253	1	null
-87526	全劳动力	65536	87525	3	{l=0}
-87527	习俗	65536	20064	3	{n=12}
-87528	付之	66269	20184	1	null
-87529	全国五一	66361	87672	1	null
-87530	免税单	65536	110152	3	{n=0}
-87531	党委书	65541	108529	1	null
-87532	全国五一劳	66373	87529	1	null
-87533	全国五一劳动	65639	87532	1	null
-87534	丝绸品	65536	98430	3	{n=0}
-87535	世俗	65543	19990	2	{n=7}
-87536	全国人大常委会	65536	88545	3	{n=0}
-87537	傣乡	65536	20643	3	{n=0}
-87538	企业化	65536	86511	3	{v=1, vd=1, vn=1}
-87539	全国工商	65565	91593	1	null
-87540	全国总工会	65536	89709	3	{n=0}
-87541	全国政协	65536	93475	3	{n=0}
-87542	全天候	65536	114907	3	{b=2, d=2}
-87543	你们	65536	20320	3	{r=126}
-87544	全始全	65622	115069	1	null
-87545	全委会	65536	115078	3	{j=0}
-87546	全家人	65536	115560	3	{n=5}
-87547	全州县	65536	116112	3	{ns=0}
-87548	伙同	65536	20249	3	{v=1}
-87549	全年候	65536	116262	3	{n=0}
-87550	光芒万	67489	124177	1	null
-87551	举一	65590	20030	1	null
-87552	全心全	65561	116597	1	null
-87553	全方位	65536	118123	3	{n=36}
-87554	全日制	65536	118167	3	{n=3}
-87555	全权代	65551	118517	1	null
-87556	仙丹	65536	20185	3	{n=3}
-87557	全村人	65536	118531	3	{n=4}
-87558	供应商	65536	97615	3	{n=4}
-87559	全球化	65536	121781	3	{an=0, v=9, vn=30}
-87560	全知全	65538	122775	1	null
-87561	乾嘉	65536	20094	3	{j=0}
-87562	全立交	65536	123517	3	{b=2}
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-87564	举不	65536	20030	1	null
-87565	全自动	65536	125340	3	{b=5}
-87566	全运会	65536	128898	3	{j=11}
-87567	八九不	65556	105297	1	null
-87568	八九不离十	65536	96719	3	{i=0}
-87569	八仙过海各	65569	93566	1	null
-87570	之后	65536	20043	3	{f=182, t=0}
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-87573	举世	65568	20030	2	{n=7}
-87574	保守党	65551	110421	2	{n=4}
-87575	八仙过海各显其	65541	91743	1	null
-87576	享受	65561	20139	2	{v=69, vn=13}
-87577	八佰伴	65536	105572	3	{nz=9}
-87578	八国联军	65536	98418	3	{n=0}
-87579	仙乐	65536	20185	3	{n=0}
-87580	八拜之	67449	110544	1	null
-87581	八拜之交	65536	87580	3	{i=0}
-87582	仓储	65543	20179	2	{n=0, v=1, vn=3}
-87583	八木佑	65536	111644	3	{nr=0}
-87584	八行书	65536	120128	3	{n=0}
-87585	八路军	65536	121571	3	{n=18, nz=0}
-87586	八角亭	65536	120518	3	{n=1, ns=0}
-87587	八运会	65536	122052	3	{j=14}
-87588	公之于	67599	115996	1	null
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-87590	人造卫	65547	125991	1	null
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-87595	交易员	65536	109309	3	{n=10}
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-87597	公交化	65536	116085	3	{v=3, vn=3}
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-87602	两侧	65536	20004	3	{f=22, n=0}
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-87605	公子哥儿	65536	87601	3	{i=1}
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-87607	公安人	66014	119386	1	null
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-87610	公报私仇	65536	96727	3	{i=0}
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-87618	公用事	67622	125945	1	null
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-87622	中间商	65536	123592	3	{n=0}
-87623	公平交	65613	120132	1	null
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-87649	关门主	67606	124110	1	null
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-87651	伴侣	65536	20276	3	{n=3}
-87652	兴业县	65536	108873	3	{ns=0}
-87653	兴冲冲	65536	109793	3	{z=0}
-87654	公文包	65536	121944	3	{n=0}
-87655	兴国县	65536	111148	3	{ns=1}
-87656	主存储器	65536	86185	3	{n=0}
-87657	书写器	65536	104702	3	{n=0}
-87658	传声器	65536	107194	3	{n=0}
-87659	乘法器	65536	94196	3	{n=0}
-87660	传感器	65536	109289	3	{n=7}
-87661	充电器	65536	103459	3	{n=0}
-87662	兴奋剂	65536	111738	3	{n=36}
-87663	共振器	65536	107827	3	{n=0}
-87664	兴妖作	65597	111813	1	null
-87665	兴山区	65536	112544	3	{ns=0}
-87666	亚洲司	65536	102675	3	{n=0}
-87667	兴师动众	65536	87669	3	{i=2}
-87668	兴安县	65536	112312	3	{ns=0}
-87669	兴师动	67420	112951	1	null
-87670	兴旺发	65542	114985	1	null
-87671	仿真器	65536	97611	3	{n=0}
-87672	全国五	67561	114351	1	null
-87673	兴绿原	65536	121390	3	{nz=0}
-87674	兴致勃	66488	122147	1	null
-87675	兴致勃勃	65536	87674	3	{i=9}
-87676	僧侣	67362	20711	2	{n=3}
-87677	兴衰史	65536	123807	3	{n=0}
-87678	兴风作	65537	127997	1	null
-87679	兵不厌	65623	106219	1	null
-87680	兵不血刃	65536	101171	3	{i=0}
-87681	互感器	65536	93139	3	{n=1}
-87682	兵临城下	65536	88022	3	{i=1}
-87683	兵工厂	65536	110275	3	{n=0}
-87684	兵库县	65536	110449	3	{ns=0}
-87685	仙人	65544	20185	2	{n=0}
-87686	兵役制	65536	110679	3	{n=0}
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-87688	兵谏亭	65536	122093	3	{n=0}
-87689	位列	65536	20301	3	{v=0}
-87690	兵马俑	65536	125770	3	{n=3}
-87691	公开信	65536	120273	3	{n=0}
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-87693	其他人	65536	97507	3	{r=5}
-87694	传销员	65536	122570	3	{n=0}
-87695	人心叵	65536	113610	1	null
-87696	之和	65536	20043	3	{n=2}
-87697	中继器	65536	117691	3	{n=0}
-87698	健身器	65536	109502	3	{n=0}
-87699	其实难副	65536	106309	3	{i=0}
-87700	其实不	65539	100779	1	null
-87701	伯伯	65536	20271	3	{n=7}
-87702	其貌不	65548	113305	1	null
-87703	其身正不	67509	93043	1	null
-87704	七嘴	65540	19971	1	null
-87705	其身正不令	66689	87703	1	null
-87706	其身正不令则	65560	87705	1	null
-87707	具体劳动	65536	87752	3	{l=0}
-87708	典当业	65536	92449	3	{n=0}
-87709	交通厅	65536	120068	3	{n=1}
-87710	全国人	65687	114351	1	null
-87711	党委会	65536	108529	3	{n=1}
-87712	典雅无华	65536	91754	3	{i=0}
-87713	养兵千	65672	104244	1	null
-87714	养家活口	65536	93537	3	{i=0}
-87715	养尊处优	65536	88519	3	{i=1}
-87716	养牛业	65536	112666	3	{n=2}
-87717	养生之	65561	113374	1	null
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-87720	兼而有之	65536	92158	3	{i=0}
-87721	兽药厂	65536	101860	3	{n=1}
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-87724	内丘县	65536	117430	3	{ns=0}
-87725	偿债	65536	20607	3	{n=0, v=1, vn=1}
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-87727	内公切	65638	118282	1	null
-87728	僧俗	65536	20711	3	{n=0}
-87729	内塔尼亚	65539	89248	1	null
-87730	儒医	65536	20754	3	{n=0}
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-87733	内存储器	65536	87732	3	{n=0}
-87734	内聚力	65536	130296	3	{n=0}
-87735	内营力	65536	131267	3	{n=0}
-87736	养老保	65547	116160	1	null
-87737	举人	65536	20030	3	{n=0}
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-87740	内视反听	65536	87739	3	{i=0}
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-87744	内阁制	65536	135839	3	{n=0}
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-87746	冉冉	65536	20873	3	{d=6, z=0}
-87747	册亨	66309	20876	1	null
-87748	册亨县	65536	87747	3	{ns=0}
-87749	再接再	66366	102410	1	null
-87750	再就业	65554	100502	1	null
-87751	再接再厉	65536	87749	3	{i=7}
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-87753	再而三	65536	109681	3	{i=1}
-87754	中饱私囊	65536	96708	3	{i=1}
-87755	再衰三	65537	111829	1	null
-87756	冒天下	67714	100187	1	null
-87757	冒天下之	65725	87756	1	null
-87758	冒天下之大不	65536	88548	1	null
-87759	冒里冒	65716	114686	1	null
-87760	冒险主义	65536	87761	3	{n=0}
-87761	冒险主	67719	115867	1	null
-87762	共产党人	65536	88690	3	{n=24}
-87763	公证书	65536	131730	3	{n=0}
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-87767	写信人	65536	97396	3	{n=1}
-87768	债主	65536	20538	3	{n=0}
-87769	写字台	65536	100330	3	{n=1}
-87770	写实主	67760	100401	1	null
-87771	三从四	65536	91375	1	null
-87772	三翻四	65539	103964	1	null
-87773	三老四	65631	103970	1	null
-87774	不三不四	65536	85683	3	{i=1}
-87775	丢三忘四	65536	90075	3	{i=0}
-87776	丢三落四	65536	99392	3	{i=0}
-87777	九曲回	65541	93654	1	null
-87778	一团	65537	19968	1	null
-87779	七国集团	65536	104134	3	{l=2}
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-87781	一年四	65536	89716	1	null
-87782	义和团	65536	91896	3	{n=0, nz=0}
-87783	乱成一团	65536	86075	3	{l=0}
-87784	事出有因	65536	91917	3	{i=0}
-87785	五洲四	65536	112358	1	null
-87786	五湖四	65537	112650	1	null
-87787	五讲四	65537	120166	1	null
-87788	交响乐团	65536	86147	3	{n=20}
-87789	万紫千红春满园	65536	93923	3	{l=1, n=0}
-87790	万绿园	65536	98163	3	{ns=0}
-87791	京剧院团	65536	104081	3	{n=2}
-87792	伊甸园	65536	104177	3	{n=1}
-87793	低三下四	65536	86334	3	{i=0}
-87794	保安器	65536	110422	3	{n=0}
-87795	交战团	65842	108290	1	null
-87796	侨乡	65536	20392	3	{n=1}
-87797	倒果为因	65536	86803	3	{i=0}
-87798	共青团	66053	121174	2	{n=12, nt=1}
-87799	养蜂业	65536	117953	3	{n=0}
-87800	内外交困	65536	87929	3	{i=0}
-87801	写实主义	65536	87770	3	{l=0, n=0}
-87802	写稿人	65536	108242	3	{n=0}
-87803	军乐团	65536	117932	3	{n=0}
-87804	军事管制	65536	101607	3	{l=1}
-87805	一国	65536	19968	1	null
-87806	三视图	65536	106471	3	{n=0}
-87807	不丹王国	65536	95115	3	{ns=0}
-87808	丧权辱国	65536	102321	3	{i=0}
-87809	中办国	65564	106354	1	null
-87810	中华人民共和国	65538	87182	2	{n=0, ns=74}
-87811	中华民国	65536	93521	3	{n=0, t=0}
-87812	中非共和国	65536	87183	3	{ns=11}
-87813	丹麦王国	65536	95116	3	{ns=1}
-87814	不成方圆	65536	91658	3	{l=0}
-87815	主权国	65536	110294	3	{n=0}
-87816	主视图	65536	119129	3	{n=0}
-87817	乌兹别克斯坦共和国	65536	87184	3	{ns=0}
-87818	乌拉圭东岸共和国	65536	87185	3	{ns=0}
-87819	举目四	65539	98029	1	null
-87820	也门共和国	65536	87186	3	{ns=0}
-87821	亚美尼亚共和国	65536	87191	3	{ns=0}
-87822	交战国	65536	108290	3	{n=0}
-87823	产油国	65536	101175	3	{n=2}
-87824	人情味	65536	113868	3	{n=0}
-87825	京剧团	65536	92694	3	{n=8}
-87826	以色列国	65536	86562	3	{ns=0}
-87827	伊拉克共和国	65536	87198	3	{ns=0}
-87828	伙伴国	65536	86308	3	{n=1}
-87829	伏击圈	65536	91421	3	{n=1}
-87830	乘号	65536	20056	3	{n=0}
-87831	乞哀	65536	20062	1	null
-87832	佛得角共和国	65536	87222	3	{ns=0}
-87833	交易商	65536	109309	3	{n=2}
-87834	亡国	65536	20129	2	{v=1}
-87835	侧视图	65536	108296	3	{n=0}
-87836	侧面图	65536	111780	3	{n=0}
-87837	保加利亚共和国	65536	87231	3	{ns=0}
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-87842	倾城倾国	65536	87306	3	{i=0}
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-87844	井上	65536	20117	3	{nr=0}
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-87846	共商国	65590	104266	1	null
-87847	公证人	65536	131730	3	{n=0}
-87848	一年之计在	65539	101281	1	null
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-87855	军国主	67868	120153	1	null
-87856	一席之地	65536	85585	3	{i=6}
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-88022	兵临城	67703	106258	1	null
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-88038	养猪场	65536	112873	3	{n=4}
-88039	佚名	65536	20314	3	{n=0}
-88040	冷水滩区	65536	94032	3	{ns=0}
-88041	冷眉冷	65544	122642	1	null
-88042	冶炼厂	65536	94442	3	{n=4}
-88043	冷若冰	65543	125678	1	null
-88044	冷血动	65551	127049	1	null
-88045	冷言冷	65597	127497	1	null
-88046	主席国	65536	107968	3	{n=23}
-88047	伸冤	65536	20280	3	{v=0}
-88048	决赛圈	65536	115850	3	{n=3}
-88049	具体	66581	20855	2	{a=199, ad=29, an=0, v=2}
-88050	净产值	65536	93637	3	{n=0}
-88051	两全	65557	20004	2	{v=0}
-88052	侵略国	65536	96663	3	{n=0}
-88053	决算书	65536	111302	3	{n=0}
-88054	净化器	65536	94772	3	{n=0}
-88055	两公	65538	20004	1	null
-88056	交换器	65536	108620	3	{n=0}
-88057	净收入	65536	99412	3	{n=0}
-88058	二乙胺基	65536	98554	3	{l=0}
-88059	净资产	65536	109666	3	{n=7}
-88060	凄然泪下	65536	93418	3	{i=0}
-88061	准军事	65536	100020	3	{n=1}
-88062	凄风冷	65541	110643	1	null
-88063	伴儿	65536	20276	3	{n=1}
-88064	凉丝丝	65536	101852	3	{z=0}
-88065	仁兄	65536	20161	3	{n=0}
-88066	亮堂堂	65536	88871	3	{z=1}
-88067	人民大会堂	65536	86192	3	{n=0}
-88068	儿孙满堂	65536	93924	3	{i=1}
-88069	冠冕堂	65549	93226	1	null
-88070	凉冰冰	65536	102767	3	{z=0}
-88071	三色堇	65536	104595	3	{n=0}
-88072	令人信	65545	86269	1	null
-88073	凉嗖嗖	65536	103829	3	{z=0}
-88074	凉爽呢	65536	111100	3	{n=0}
-88075	凌波仙	65911	99351	1	null
-88076	减压器	65536	107878	3	{n=0}
-88077	减声器	65536	109259	3	{n=0}
-88078	减头去	65674	109327	1	null
-88079	减摩合	65584	112196	1	null
-88080	减法器	65536	114352	3	{n=0}
-88081	农副产	66244	112695	1	null
-88082	减负办	65536	122618	3	{j=1}
-88083	减速运动	65536	104565	3	{l=0}
-88084	冷冻剂	65536	113092	3	{n=0}
-88085	减震器	65536	125154	3	{n=2}
-88086	凛若冰	65544	100671	1	null
-88087	凛冽	65536	20955	3	{a=10, an=1}
-88088	凝神专	65540	100069	1	null
-88089	几内亚	67321	93832	2	{ns=15}
-88090	几内亚共和	65824	88170	1	null
-88091	凝聚力	65536	101857	3	{n=23}
-88092	仰光	65536	20208	3	{ns=0}
-88093	几内亚共和国	65536	88090	3	{ns=0}
-88094	举借	65536	20030	3	{v=2}
-88095	几内亚比绍共	66452	98090	1	null
-88096	几内亚比绍共和	65829	88095	1	null
-88097	主教堂	65536	109804	3	{n=1}
-88098	几内亚比绍共和国	65536	88096	3	{ns=0}
-88099	几经周	65542	105426	1	null
-88100	凡事预则	65540	104588	1	null
-88101	凡夫俗	65915	93788	1	null
-88102	凡立丁	66501	102396	1	null
-88103	凡立丁呢	65536	88102	3	{n=0}
-88104	凤梧乡	65536	97055	3	{ns=0}
-88105	凤翔县	65536	102988	3	{ns=0}
-88106	凤阳县	65536	108715	3	{ns=0}
-88107	凯鲁旺城	65536	91769	3	{ns=0}
-88108	凶吉难卜	65536	104131	3	{i=0}
-88109	凶多吉	65725	104765	1	null
-88110	凹凸不	65676	88566	1	null
-88111	出世作	65536	121152	3	{n=0}
-88112	伊斯兰堡	65536	86487	3	{ns=11}
-88113	丰华	65536	20016	3	{nz=0}
-88114	出人命	65536	121316	3	{v=1}
-88115	中小型	65536	108771	3	{b=8}
-88116	出人头地	65536	89321	3	{i=0}
-88117	凛凛	65536	20955	3	{z=0}
-88118	出以公	65613	121359	1	null
-88119	出其不	65563	122016	1	null
-88120	东道国	65536	110965	3	{n=2}
-88121	举债	65536	20030	3	{v=5, vn=0}
-88122	出厂价	65536	122540	3	{n=3}
-88123	出发地	65536	122619	3	{n=1}
-88124	出口不凡	65536	90544	3	{i=0}
-88125	出口导向	65716	94111	1	null
-88126	仰八	65727	20208	1	null
-88127	出口导向型	65536	88125	3	{b=2, n=0}
-88128	凤凰县	65536	91240	3	{ns=1}
-88129	军械员	65536	124684	3	{n=0}
-88130	出国人	66539	123431	1	null
-88131	出国人员	65536	88130	3	{n=0}
-88132	出头之	65686	123998	1	null
-88133	伸出	65536	20280	3	{v=15}
-88134	冷水域	65536	119869	3	{n=1}
-88135	出奇制	65545	124017	1	null
-88136	出尔反	65724	124734	1	null
-88137	出尘脱俗	65536	98610	3	{l=1}
-88138	出手不	67178	126325	1	null
-88139	出手不凡	65536	88138	3	{l=0}
-88140	一塌	65536	19968	1	null
-88141	出敌不	65564	127094	1	null
-88142	出死力	65536	128677	3	{v=0}
-88143	出气口	65536	128830	3	{n=0}
-88144	侵吞	65536	20405	3	{v=12}
-88145	借款单	65536	109963	3	{n=0}
-88146	出水才看两	65541	96038	1	null
-88147	出污泥而不	65628	98429	1	null
-88148	万埠	65536	19975	1	null
-88149	乳化塔	65536	92132	3	{n=0}
-88150	乌斯塔	65538	98230	1	null
-88151	冀东	65536	20864	3	{ns=0}
-88152	东河塘	65536	101845	3	{ns=0}
-88153	光杆司	67259	117189	1	null
-88154	出海口	65536	129185	3	{n=3}
-88155	俗体	65663	20439	1	null
-88156	出神入	66887	132232	1	null
-88157	出神入化	65536	88156	3	{i=2}
-88158	出租人	65536	132361	3	{n=0}
-88159	出粪口	65536	133076	3	{n=0}
-88160	出言不	65538	136490	1	null
-88161	出生于	65536	131145	3	{v=0}
-88162	仿制	65593	20223	2	{v=7, vn=1}
-88163	出谋划	65542	137013	1	null
-88164	一言堂	65536	100864	3	{n=0}
-88165	出纳台	65536	133597	3	{n=0}
-88166	俯冲	65536	20463	3	{v=2, vn=0}
-88167	井位	65536	20117	3	{n=1}
-88168	冀中	65536	20864	3	{ns=16, nz=1}
-88169	几何体	65536	93272	3	{n=0}
-88170	几内亚共	66446	88089	1	null
-88171	义愤填	65536	95120	1	null
-88172	出资人	65536	137326	3	{n=2}
-88173	出门在	65759	139538	1	null
-88174	函谷关	65536	104466	3	{n=0}
-88175	刀光剑	65537	106197	1	null
-88176	刀枪不	67340	111926	1	null
-88177	刀枪不入	65536	88176	3	{i=1}
-88178	刁钻古	65627	103722	1	null
-88179	刃儿	65536	20995	3	{n=0}
-88180	中立国	65536	116639	3	{n=1}
-88181	分业制	65536	122214	3	{n=1}
-88182	中小城	65550	108771	1	null
-88183	分会场	65536	122470	3	{n=1}
-88184	分光仪	65536	123029	3	{n=6}
-88185	分公司	65536	123064	3	{n=18}
-88186	分兵把口	65536	90764	3	{l=1}
-88187	分内事	65536	123089	3	{n=1}
-88188	刀山剑	65695	109053	1	null
-88189	丰厚	65536	20016	3	{a=12, an=0}
-88190	分厘卡	65536	123620	3	{n=0}
-88191	分委会	65536	125216	3	{j=2}
-88192	分娩台	65536	125301	3	{n=0}
-88193	分文不	66735	128211	1	null
-88194	丰原	65536	20016	3	{nz=4}
-88195	事过境	65536	111061	1	null
-88196	分布图	65536	126287	3	{n=0}
-88197	分文不取	65536	88193	3	{i=2}
-88198	分斤掰两	65536	91057	3	{i=0}
-88199	分期付	65536	128619	1	null
-88200	分清主	65541	130385	1	null
-88201	他乡	66082	20182	2	{r=9}
-88202	分电器	65536	132225	3	{n=0}
-88203	分秒必争	65536	90131	3	{i=2, l=0}
-88204	分离器	65536	133383	3	{n=0}
-88205	分税制	65536	133466	3	{n=1}
-88206	分裂主义	65536	88209	3	{n=3}
-88207	分解器	65536	137519	3	{n=0}
-88208	九冬	65798	20061	1	null
-88209	分裂主	68165	137230	1	null
-88210	分进合	67225	139047	1	null
-88211	三义墓	65536	91242	3	{ns=0}
-88212	分进合击	65536	88210	3	{l=0}
-88213	分门别	65544	140596	1	null
-88214	分馏器	65536	141531	3	{n=0}
-88215	切割器	65536	106887	3	{n=0}
-88216	分配器	65536	139417	3	{n=0}
-88217	一墙	65538	19968	1	null
-88218	保管员	65536	118638	3	{n=0}
-88219	保健型	65536	107570	3	{b=0}
-88220	切实有力	65536	93111	3	{l=0}
-88221	切实可	65588	109235	1	null
-88222	与年俱增	65536	86005	3	{l=0}
-88223	与日俱增	65536	86006	3	{i=1}
-88224	二十四	65604	99451	1	null
-88225	修理厂	65536	108541	3	{n=1}
-88226	丰县	65536	20016	3	{ns=1}
-88227	减人增	65557	106645	1	null
-88228	减员增	65559	108083	1	null
-88229	减收增	65542	112401	1	null
-88230	农技员	65536	116808	3	{j=0}
-88231	切入口	65536	106618	3	{n=1}
-88232	切尔诺贝利	65536	101710	3	{nz=0}
-88233	主桥墩	65536	110584	3	{n=0}
-88234	切肤之	65537	118713	1	null
-88235	刃具	65536	20995	3	{n=0}
-88236	代表团	65536	110197	3	{n=110}
-88237	切身利	65537	122304	1	null
-88238	切骨之	68072	125373	1	null
-88239	切骨之仇	65536	88238	3	{i=0}
-88240	划一不	68133	100919	1	null
-88241	划一不二	65536	88240	3	{i=0}
-88242	划时代	65536	107053	3	{b=4}
-88243	划等号	65536	112512	3	{l=0}
-88244	列宁主义	65536	88247	3	{n=1}
-88245	列宁格勒	65536	94904	3	{ns=0}
-88246	刑法典	65536	102179	3	{n=0}
-88247	列宁主	68203	102298	1	null
-88248	列车员	65536	115583	3	{n=0}
-88249	刚果共	66606	107492	1	null
-88250	刚果共和	65982	88249	1	null
-88251	刚果共和国	65536	88250	3	{ns=1}
-88252	刚果民主	67404	95065	1	null
-88253	刚果民主共	66610	88252	1	null
-88254	刚果民主共和	65987	88253	1	null
-88255	买入	65858	20080	2	{v=2, vn=1}
-88256	刚果民主共和国	65536	88254	3	{ns=4}
-88257	互不	65541	20114	2	{d=4}
-88258	僵化	65536	20725	3	{v=5, vn=1}
-88259	侍从	65536	20365	3	{n=0}
-88260	例假	65536	20363	3	{n=0}
-88261	刚正不	65540	108459	1	null
-88262	刚直不	65557	111420	1	null
-88263	创业史	65536	105582	3	{n=4}
-88264	仓卒	65536	20179	3	{a=0}
-88265	创刊号	65536	106590	3	{n=0}
-88266	创始人	65536	108575	3	{n=5}
-88267	仓单	65536	20179	3	{j=0}
-88268	创建人	65536	109902	3	{n=4}
-88269	出纳员	65536	133597	3	{n=0}
-88270	亏困	65536	20111	3	{j=2}
-88271	九龙壁	65536	108157	3	{n=0}
-88272	农工党	65536	115629	3	{j=2}
-88273	以邻为壑	65536	86273	3	{i=0}
-88274	创作力	65536	105904	3	{n=2}
-88275	丰台	65588	20016	2	{ns=1}
-88276	初始条件	65536	94524	3	{n=0}
-88277	初来乍到	65536	88280	3	{i=1}
-88278	光谱分	65624	126640	1	null
-88279	决胜于	66696	112651	1	null
-88280	初来乍	67237	121070	1	null
-88281	初生牛犊不	65578	94859	1	null
-88282	初级线圈	65536	100727	3	{l=0}
-88283	初见端倪	65536	97125	3	{l=2}
-88284	初高中	65536	134241	3	{j=0}
-88285	删节号	65536	100790	3	{n=0}
-88286	初生之	65536	124584	1	null
-88287	判决书	65536	94608	3	{n=1}
-88288	判断力	65536	99722	3	{n=0}
-88289	判若两人	65536	88580	3	{i=1}
-88290	他人	65536	20182	3	{r=31}
-88291	利勒哈	65536	110185	1	null
-88292	凿冰	65536	20991	3	{v=0}
-88293	初级中	65934	127024	1	null
-88294	利国乡	65536	111252	3	{ns=0}
-88295	利尿剂	65536	112598	3	{n=0}
-88296	保险刀	65536	125494	3	{n=0}
-88297	串城	65536	20018	3	{ns=0}
-88298	利己主	68274	113032	1	null
-88299	业内人士	65536	85863	3	{n=12}
-88300	仁人志士	65536	90146	3	{l=0, n=2}
-88301	传教士	65536	110371	3	{n=0}
-88302	互为	65536	20114	3	{d=2, v=0}
-88303	党外人士	65536	87506	3	{n=4}
-88304	一声	65540	19968	1	null
-88305	不露声	65537	121283	1	null
-88306	乐曲声	65536	98725	3	{n=6}
-88307	仄声	65536	20164	3	{n=0}
-88308	传道士	65536	121373	3	{n=0}
-88309	兵强马壮	65536	105085	3	{i=0}
-88310	众口一声	65536	86329	3	{i=0}
-88311	出入境	65536	121999	3	{j=6, vn=0}
-88312	列支敦士	65537	91536	1	null
-88313	冷却剂	65536	113533	3	{n=0}
-88314	创造力	65536	122484	3	{n=9}
-88315	利己主义	65536	88298	3	{n=0}
-88316	利比里亚	65536	105519	3	{ns=0}
-88317	利比亚	65536	116587	3	{ns=12}
-88318	利益均	65548	119393	1	null
-88319	利辛县	65536	125746	3	{ns=0}
-88320	冥器	65536	20901	3	{n=0}
-88321	利隆圭	65536	127517	3	{n=0}
-88322	别墅区	65536	108108	3	{n=2, s=0}
-88323	删减	65536	21024	3	{v=0}
-88324	一无是处	65536	91696	3	{i=1}
-88325	中央书记处	65536	101296	3	{n=0}
-88326	仓管处	65536	98583	3	{n=0}
-88327	万事俱备	65536	86012	3	{i=1}
-88328	主设备	65536	119633	3	{n=0}
-88329	乘其不备	65536	86040	3	{i=0}
-88330	中专处	65536	105191	3	{n=2}
-88331	代办处	65536	96427	3	{n=0}
-88332	书记处	65536	119573	3	{n=54}
-88333	一去不复	65537	85520	1	null
-88334	一元复	65536	86339	1	null
-88335	万劫不复	65536	85604	3	{i=0}
-88336	三翻四复	65536	87772	3	{i=0}
-88337	乌斯塔夏	65536	88150	3	{nz=0}
-88338	交界处	65536	113206	3	{n=4}
-88339	会合处	65536	106340	3	{s=0}
-88340	他们	65536	20182	3	{r=1354, v=0}
-88341	一朝一夕	65536	85539	3	{i=1}
-88342	不知今夕	65536	85990	1	null
-88343	不知今夕何夕	65536	85845	3	{l=1, n=0}
-88344	东门外	65536	112394	3	{s=1}
-88345	九霄云外	65536	86057	3	{i=0}
-88346	一多	65537	19968	1	null
-88347	一专多	65536	85523	1	null
-88348	一夜	65536	19968	1	null
-88349	一石多	65536	96243	1	null
-88350	三更半夜	65536	86875	3	{i=0}
-88351	不动声	65536	103737	1	null
-88352	不远处	65536	119405	3	{s=6}
-88353	为数众多	65536	86229	3	{l=3}
-88354	亚太地	65611	97547	1	null
-88355	人有旦夕	65536	91705	1	null
-88356	为数不多	65536	85963	3	{l=3}
-88357	作恶多	65539	112603	1	null
-88358	乒坛	65536	20050	3	{n=0}
-88359	一大	65537	19968	2	{j=0}
-88360	三座大	65541	95432	1	null
-88361	一天	65537	19968	1	null
-88362	一手遮天	65536	102537	3	{i=0}
-88363	一整天	65536	91508	3	{m=0, t=1}
-88364	一步登天	65536	95911	3	{i=1}
-88365	一统天	65586	98015	1	null
-88366	一飞冲天	65536	86450	3	{i=1}
-88367	三伏天	65536	91440	3	{t=1}
-88368	三闾大	65550	109599	1	null
-88369	一失	65536	19968	1	null
-88370	万事大	65536	85759	1	null
-88371	万无一失	65536	85609	3	{i=4}
-88372	一头	65536	19968	3	{d=7, f=1, m=7, n=0}
-88373	一年到头	65536	86586	3	{l=5}
-88374	丈夫	65536	19976	3	{n=29}
-88375	三天两头	65536	85625	3	{l=1}
-88376	三接头	65536	96710	3	{n=0}
-88377	三闾大夫	65536	88368	3	{i=0}
-88378	上海交大	65536	85676	3	{j=1, n=0}
-88379	上西天	65536	107845	3	{l=0}
-88380	下功夫	65536	96538	3	{v=33}
-88381	下工夫	65536	99424	3	{v=0}
-88382	下苦功夫	65536	86695	3	{l=3}
-88383	下诺夫	65536	111221	1	null
-88384	下雨天	65536	114019	3	{n=1}
-88385	上半夜	65536	93968	3	{t=0}
-88386	下半夜	65536	96709	3	{t=0}
-88387	不共戴天	65536	90676	3	{i=0}
-88388	丧尽天	65536	89556	1	null
-88389	中共中央	65537	85911	2	{nt=229}
-88390	中到大	65536	106244	1	null
-88391	不足为奇	65536	85827	3	{i=0}
-88392	万般无奈	65536	91628	3	{i=2}
-88393	中医大	65536	106511	3	{j=0}
-88394	中山大	65547	108869	1	null
-88395	久仰大	65558	86284	1	null
-88396	久闻大	65562	104471	1	null
-88397	争分夺	65536	89487	1	null
-88398	举止大	65540	95073	1	null
-88399	下半天	65536	96709	3	{t=0}
-88400	争名夺	65537	90006	1	null
-88401	争权夺	65542	94924	1	null
-88402	事到临头	65536	86092	3	{i=0}
-88403	世医	65536	19990	3	{n=0}
-88404	东方城	65536	100059	3	{ns=0}
-88405	万马奔	65536	105184	1	null
-88406	争光奖	65536	89298	3	{nz=0}
-88407	一等奖	65536	97097	3	{n=27}
-88408	中圈套	65536	107484	3	{l=0}
-88409	一整套	65536	91508	3	{m=14}
-88410	三等奖	65536	102762	3	{n=7}
-88411	丫头	65536	20011	3	{n=0}
-88412	二医大	65536	99445	3	{j=0}
-88413	二锅头	65536	116287	3	{n=0}
-88414	亚历山大	65536	89223	3	{ns=0}
-88415	亚欧大	65539	102152	1	null
-88416	亚特兰大	65536	86447	3	{ns=15}
-88417	交响协奏	65537	87426	1	null
-88418	亢奋	65536	20130	3	{a=2}
-88419	交臂失	66111	116396	1	null
-88420	京韵大	65537	110500	1	null
-88421	五角大	65537	119686	1	null
-88422	人事处	65536	109202	3	{n=2}
-88423	二重奏	65536	115463	3	{n=1}
-88424	五花大	65565	117861	1	null
-88425	人命关天	65536	86457	3	{i=0}
-88426	人定胜天	65536	98525	3	{i=0}
-88427	人高马大	65536	105077	3	{i=0}
-88428	今古奇	65536	92749	1	null
-88429	仓皇失	65536	97277	1	null
-88430	仕奇	65536	20181	3	{nz=0}
-88431	令人振奋	65536	93014	3	{l=4}
-88432	以小见大	65536	100824	3	{l=1}
-88433	二次大	65545	105563	1	null
-88434	世博	65609	19990	1	null
-88435	丰富多	65538	90287	1	null
-88436	亡国奴	65536	87834	3	{n=0}
-88437	仰天大	65545	90108	1	null
-88438	伊万诺夫	65536	101391	3	{nr=0}
-88439	优秀奖	65536	103480	3	{n=5}
-88440	以售其奸	65536	86478	3	{i=0}
-88441	人才外	65542	114260	1	null
-88442	低头不见抬头	65561	90796	1	null
-88443	住院处	65536	107596	3	{n=0}
-88444	二等奖	65536	109699	3	{n=6}
-88445	不怀好	65545	107153	1	null
-88446	乐善好	65537	94263	1	null
-88447	亲朋好	65669	101863	1	null
-88448	以次充好	65536	86371	3	{l=1}
-88449	仿单	65536	20223	3	{n=0}
-88450	一如	65536	19968	1	null
-88451	一见如	65536	100801	1	null
-88452	一败如	65539	101669	1	null
-88453	一贫如	65536	101675	1	null
-88454	今不如	65536	91254	1	null
-88455	从善如	65544	104015	1	null
-88456	从谏如	65547	117978	1	null
-88457	不仅如	65536	102742	1	null
-88458	仪器	65558	20202	2	{n=24}
-88459	七大	65536	19971	3	{j=2}
-88460	不过如	65546	119384	1	null
-88461	万事如	65539	85759	1	null
-88462	伤其十指不如	65545	86318	1	null
-88463	伯利	65536	20271	1	null
-88464	你争我夺	65536	90667	3	{i=0}
-88465	体工大	65540	108995	1	null
-88466	优胜奖	65536	105300	3	{n=1, nz=1}
-88467	争奇斗妍	65536	91543	3	{i=0}
-88468	也好	65536	20063	3	{d=0, y=12}
-88469	争芳斗妍	65536	91549	3	{i=1}
-88470	侄媳妇	65536	89185	3	{n=0}
-88471	付出	65536	20184	3	{v=47, vn=3}
-88472	侄孙女	65536	89351	3	{n=0}
-88473	侯门如	65541	103939	1	null
-88474	仕女	65536	20181	3	{n=1}
-88475	依然如	65544	101963	1	null
-88476	俊男靓女	65536	104278	3	{i=0}
-88477	俗话说得好	65536	90036	3	{l=1, n=0}
-88478	俨如	65536	20456	3	{v=0}
-88479	万夫	65537	19975	1	null
-88480	倒不如	65536	104930	3	{v=0}
-88481	倒背如	65562	117921	1	null
-88482	信贷处	65536	123053	3	{n=2}
-88483	倾盆大	65537	101704	1	null
-88484	偌大	65536	20556	3	{b=7}
-88485	做一天	65707	99775	1	null
-88486	做一天和尚撞一天	65543	87354	1	null
-88487	健步如	65542	100472	1	null
-88488	儒林外	65901	92942	1	null
-88489	儿媳妇	65536	90575	3	{n=2}
-88490	先声夺	67257	109508	1	null
-88491	先拔头	65540	112040	1	null
-88492	先斩后奏	65536	87413	3	{i=0}
-88493	光彩夺	65580	115176	1	null
-88494	光明正大	65536	93046	3	{i=0}
-88495	克利夫	66623	104415	1	null
-88496	倔头	66304	20500	1	null
-88497	光灿夺	65582	119550	1	null
-88498	克己复	65537	107431	1	null
-88499	克拉科夫	65536	97629	3	{ns=2, nz=1}
-88500	保温套	65536	115190	3	{n=0}
-88501	党中央	65536	105546	3	{n=1, nt=201}
-88502	党代表大	67249	102166	1	null
-88503	入主出奴	65536	87514	3	{i=0}
-88504	仲夏	65536	20210	3	{t=1}
-88505	亲姐妹	65536	98476	3	{n=0}
-88506	入口处	65536	112130	3	{n=4}
-88507	党委制	65536	108529	3	{n=0}
-88508	全党外	65536	112908	3	{s=1}
-88509	全国五一劳动奖	65539	87533	1	null
-88510	全国人大	65587	87710	2	{n=0}
-88511	催人奋	65547	95392	1	null
-88512	公开化	65536	120273	3	{v=4, vn=1}
-88513	关怀备	65543	110310	1	null
-88514	共和县	65536	104080	3	{ns=0}
-88515	僻壤	65536	20731	3	{n=0}
-88516	兄妹	65536	20804	3	{n=12}
-88517	人物奖	65536	118384	3	{n=2}
-88518	乌尔姆	65536	95771	3	{n=0}
-88519	养尊处	67467	106953	1	null
-88520	内侄女	65536	117794	3	{n=0}
-88521	内引外	65570	121779	1	null
-88522	内忧外	65542	121989	1	null
-88523	一元复始	65536	88334	3	{l=1}
-88524	下车伊始	65536	85770	3	{i=0}
-88525	从五开始	65536	89861	3	{n=2}
-88526	内查外	65571	124035	1	null
-88527	内格夫	65536	124122	3	{ns=0}
-88528	克里姆	65621	120706	1	null
-88529	乃堆	65538	20035	1	null
-88530	兆头	65536	20806	3	{n=3}
-88531	仁化	65700	20161	1	null
-88532	中国奥委	65668	88718	1	null
-88533	中央军委	65536	87028	3	{n=0, nt=111}
-88534	中央纪委	65536	98563	3	{n=0}
-88535	中直工委	65536	89594	3	{j=5}
-88536	中纪委	65536	117630	3	{j=9}
-88537	中革军委	65536	86433	3	{j=0}
-88538	中顾委	65536	124242	3	{j=2}
-88539	乡党委	65536	88035	3	{n=5}
-88540	体改委	65536	110871	3	{j=5}
-88541	丘墓	65536	19992	3	{n=0}
-88542	候补委	65695	100765	1	null
-88543	党工委	65536	109570	3	{j=0}
-88544	举凡	65536	20030	3	{d=3}
-88545	全国人大常委	67286	89707	1	null
-88546	内司委	65536	118934	3	{j=0}
-88547	兰后	65536	20848	3	{j=0}
-88548	冒天下之大	67777	87757	1	null
-88549	冒里冒失	65536	87759	3	{z=0}
-88550	伞套	65536	20254	3	{n=0}
-88551	军代处	65536	118079	3	{j=0}
-88552	军医大	65536	119191	3	{j=2}
-88553	军令如	65595	118080	1	null
-88554	军机处	65536	124310	3	{n=0}
-88555	农函大	65536	112581	3	{j=1}
-88556	世叔	65536	19990	3	{n=0}
-88557	冤大头	65536	93281	3	{n=0}
-88558	克己奉	66630	107431	1	null
-88559	冠盖如	67871	102763	1	null
-88560	冤家对头	65536	89280	3	{n=0}
-88561	冬虫夏	65541	119767	1	null
-88562	冲昏头	65541	112177	1	null
-88563	决胜于千里之外	65536	88024	3	{i=0}
-88564	决胜千里之外	65536	88025	3	{i=1, n=0}
-88565	出门在外	65536	88173	3	{l=1}
-88566	凹凸	68129	20985	2	{n=0}
-88567	出风头	65536	140280	3	{v=1}
-88568	买办	65536	20080	3	{n=0}
-88569	举出	65536	20030	3	{v=1}
-88570	出人意外	65536	91332	3	{i=0}
-88571	分外夺	65595	125026	1	null
-88572	函授大	65908	94051	1	null
-88573	分理处	65536	131922	3	{n=2}
-88574	切尔诺比奥	65536	93189	3	{ns=0}
-88575	优妮姿	65536	95270	3	{nz=0}
-88576	刊授大	65922	96750	1	null
-88577	刘少奇	65536	94053	3	{nr=10}
-88578	初露头	65575	133307	1	null
-88579	分散剂	65536	128175	3	{n=0}
-88580	判若两	68135	107202	1	null
-88581	别有天地	65536	88584	3	{i=0}
-88582	儿童团	65536	98817	3	{n=0}
-88583	别有洞天	65536	93693	3	{i=0}
-88584	别有天	66261	111824	1	null
-88585	值域	65536	20540	3	{n=0}
-88586	别无二	65550	111527	1	null
-88587	主任委	65542	104078	1	null
-88588	分子力	65536	125596	3	{n=0}
-88589	别有风味	65536	104877	3	{i=0}
-88590	侍候	65536	20365	3	{v=2}
-88591	别树一	65842	112088	1	null
-88592	仿古	65536	20223	3	{v=1, vn=0}
-88593	他俩	65536	20182	3	{r=12}
-88594	别里别	65569	122771	1	null
-88595	刮垢磨光	65536	96493	3	{i=0}
-88596	刮胡刀	65536	102954	3	{n=0}
-88597	刮脸刀	65536	103041	3	{n=0}
-88598	交通图	65536	120068	3	{n=1}
-88599	初始值	65536	117588	3	{n=0}
-88600	丈母娘	65536	93144	3	{n=0}
-88601	下马威	65536	114919	3	{n=0}
-88602	到来之	65552	108206	1	null
-88603	俯卧	65536	20463	2	{v=0, vn=0}
-88604	到此为	65565	109229	1	null
-88605	制冷剂	65536	110137	3	{n=13}
-88606	不可多	65540	104064	1	null
-88607	制作厂	65536	109534	3	{n=1}
-88608	制度化	65536	113448	3	{an=0, v=8, vn=8}
-88609	制成品	65536	114322	3	{n=7}
-88610	制图员	65536	111488	3	{n=0}
-88611	制服呢	65536	115599	3	{n=0}
-88612	别具风味	65536	107769	3	{l=0}
-88613	制约力	65536	121640	3	{n=0}
-88614	制动器	65536	110378	3	{n=1}
-88615	制衣厂	65536	124133	3	{n=7}
-88616	券桥乡	65536	93639	3	{ns=2}
-88617	刺儿头	65536	107357	3	{n=0}
-88618	判断句	65536	99722	3	{n=0}
-88619	别具一	65592	106302	1	null
-88620	不绝如	65536	115054	1	null
-88621	刺刺不	68381	107608	1	null
-88622	刺刺不休	65536	88621	3	{i=0}
-88623	刺绣品	65536	119041	3	{n=0}
-88624	刹住	65536	21049	3	{v=6}
-88625	刻肌刻	65542	112561	1	null
-88626	刻舟求剑	65536	93256	3	{i=0}
-88627	刻苦耐劳	65536	98436	3	{i=0}
-88628	剃刀	65536	21059	2	{n=0}
-88629	剃头刀	65536	90472	3	{n=0}
-88630	凯乐	65536	20975	3	{nz=10}
-88631	剃须刀	65536	106671	3	{n=1}
-88632	削铁如	65550	106606	1	null
-88633	前三合	65836	119926	1	null
-88634	仰卧	65543	20208	2	{v=0, vn=0}
-88635	前不久	65536	119930	3	{t=22}
-88636	前事不	65727	120056	1	null
-88637	保险单	65536	125494	3	{n=2}
-88638	前人栽树后	68485	92287	1	null
-88639	前人栽树后人	68584	88638	1	null
-88640	前人栽树后人乘	67704	88639	1	null
-88641	前人栽树后人乘凉	65536	88640	3	{i=0}
-88642	前仆后	65612	120115	1	null
-88643	前仰后	67132	120157	1	null
-88644	前仰后合	65536	88643	3	{i=0}
-88645	令堂	65536	20196	3	{n=0}
-88646	三姑六婆	65536	86399	3	{i=0}
-88647	前俯后	68440	120412	1	null
-88648	前俯后仰	65536	88647	3	{l=0}
-88649	前前后	67132	121018	1	null
-88650	前前后后	65536	88649	3	{l=0}
-88651	前呼后	65762	121577	1	null
-88652	前因后	65768	122189	1	null
-88653	前思后	65542	124554	1	null
-88654	前无古	68502	126029	1	null
-88655	伊拉姆	65536	99458	3	{nz=3}
-88656	前无古人	65536	88654	3	{i=3}
-88657	前街后	65920	134852	1	null
-88658	前程似	65537	131192	1	null
-88659	前言不	65536	135277	1	null
-88660	前言不搭后	65614	91181	1	null
-88661	前赴后	65617	136161	1	null
-88662	前车之	65548	136659	1	null
-88663	仁厚	65536	20161	3	{a=0}
-88664	前进不	65536	136776	1	null
-88665	剑阁县	65536	108439	3	{ns=1}
-88666	剖宫产	65536	91833	3	{v=0}
-88667	剖视图	65536	103636	3	{n=0}
-88668	剖腹产	65536	101511	3	{v=1}
-88669	丑妇	65536	19985	1	null
-88670	剔出	65536	21076	3	{v=0}
-88671	刘家圪	65536	93962	1	null
-88672	剖面图	65536	107120	3	{n=0}
-88673	剧中人	65536	100971	3	{n=1}
-88674	剩余产品	65536	89390	3	{l=0}
-88675	剩余价值	65536	89470	3	{l=1}
-88676	剩余劳动	65536	90426	3	{l=0}
-88677	中常委	65536	109324	3	{j=0}
-88678	剪不断理还乱	65536	102383	3	{i=0}
-88679	剪切力	65536	103704	3	{n=0}
-88680	副产品	65536	107463	3	{n=1}
-88681	副博士	65536	108666	3	{n=0}
-88682	副线圈	65536	119775	3	{n=0}
-88683	副食品	65536	126463	3	{n=39}
-88684	乙午	65536	20057	3	{m=0}
-88685	劈天盖地	65536	95962	3	{l=0}
-88686	两口	65565	20004	1	null
-88687	乘坐	65536	20056	3	{v=14}
-88688	劈里啪	66829	114106	1	null
-88689	判若云	65549	107202	1	null
-88690	共产党	67608	102571	2	{n=102, nz=0}
-88691	劈里啪啦	65536	88688	3	{o=0}
-88692	力不从	65753	105093	1	null
-88693	力不胜任	65536	101506	3	{l=1}
-88694	力争上	65545	105217	1	null
-88695	力所不	67246	110264	1	null
-88696	力所不及	65536	88695	3	{l=1}
-88697	力所能及	65536	101735	3	{i=3}
-88698	力排众	65678	110602	1	null
-88699	力竭声	66630	116581	1	null
-88700	力竭声嘶	65536	88699	3	{i=0}
-88701	办报人	65536	104481	3	{n=2}
-88702	功不可	65541	106325	1	null
-88703	乘龙快婿	65536	90092	3	{i=0}
-88704	侄女婿	65536	88865	3	{n=0}
-88705	刷写	65536	21047	3	{v=1, vn=1}
-88706	分馏塔	65536	141531	3	{n=0}
-88707	功亏一	65536	106455	1	null
-88708	功利主	68669	107377	1	null
-88709	业大	65536	19994	3	{j=1}
-88710	功利主义	65536	88708	3	{l=0, n=0}
-88711	兔唇	65536	20820	3	{n=0}
-88712	农机员	65536	118018	3	{n=1}
-88713	制片人	65536	118473	3	{n=3}
-88714	功夫不负有心人	65536	90269	3	{i=1, n=0}
-88715	功率因	65820	115919	1	null
-88716	八面威	65559	123990	1	null
-88717	农家女	65536	115070	3	{n=3}
-88718	中国奥	65536	107473	1	null
-88719	功败垂	65703	122477	1	null
-88720	功德圆	65542	110847	1	null
-88721	加人一	65560	117817	1	null
-88722	光密媒	65542	114245	1	null
-88723	乙卯	65536	20057	3	{m=0}
-88724	光疏媒	65545	120846	1	null
-88725	互信	65539	20114	2	{v=4, vn=0}
-88726	加减器	65536	118606	3	{n=0}
-88727	加利福尼亚	66241	89367	2	{ns=3}
-88728	加厚型	65536	119065	3	{b=1}
-88729	不知好	65536	113270	1	null
-88730	加塞儿	65536	120285	3	{v=1, vn=1}
-88731	俄亥	66256	20420	1	null
-88732	中国女	65536	107473	1	null
-88733	举办	65545	20030	2	{v=204, vn=3}
-88734	加利利	65536	118696	3	{ns=0}
-88735	加尔各	65551	121235	1	null
-88736	加强型	65536	122041	3	{b=2}
-88737	加把劲	65536	122889	3	{l=0}
-88738	井冈	65557	20117	2	{ns=0}
-88739	加拉加	65758	122952	1	null
-88740	削价	65536	21066	3	{v=0, vd=0, vn=0}
-88741	加拿大	65536	123006	3	{ns=99}
-88742	丢失	65536	20002	3	{v=5, vn=0}
-88743	举动	65536	20030	3	{n=11, vn=2}
-88744	券商	65536	21048	3	{n=10}
-88745	加枝添叶	65536	93691	3	{l=0}
-88746	加法器	65536	125524	3	{n=0}
-88747	世界大	65537	97124	1	null
-88748	加泰罗尼亚	65536	89368	3	{ns=0}
-88749	仪型	65536	20202	3	{n=0}
-88750	加湿器	65536	125950	3	{n=0}
-88751	加热器	65536	126572	3	{n=0}
-88752	买卖	65920	20080	2	{n=2, v=18, vn=4}
-88753	加的夫	65536	128003	3	{ns=2}
-88754	兑制	65536	20817	3	{v=0}
-88755	加筋土	65539	129226	1	null
-88756	功成不	65743	111448	1	null
-88757	加筋土挡墙	65536	90916	3	{n=3}
-88758	借书处	65536	102579	3	{n=0}
-88759	凸出	65536	20984	3	{v=0, vn=0}
-88760	加速器	65536	134558	3	{n=1}
-88761	公平化	65536	120132	3	{vn=1}
-88762	加速运动	65536	103456	3	{l=0}
-88763	个头	65536	20010	3	{n=4}
-88764	加里曼丹	65580	92323	2	{ns=0}
-88765	伯南	65615	20271	1	null
-88766	务工人员	65536	88767	3	{n=5}
-88767	务工人	67174	94163	1	null
-88768	劣质品	65536	106854	3	{n=0}
-88769	动不动	65536	112617	3	{d=0}
-88770	军民品	65536	125549	3	{n=1}
-88771	动之以	65550	112679	1	null
-88772	侄外	65659	20356	1	null
-88773	动手动	65542	117799	1	null
-88774	债利	65536	20538	3	{n=0}
-88775	动员令	65536	114228	3	{n=0}
-88776	丧失	65536	20007	3	{v=18, vn=2}
-88777	动脉硬化	65536	96838	3	{l=0}
-88778	动荡不	65943	126269	1	null
-88779	助人为	68735	104968	1	null
-88780	伴同	65536	20276	3	{v=0}
-88781	兄嫂	65536	20804	3	{n=0}
-88782	代表处	65536	110197	3	{n=5}
-88783	助人为乐	65536	88779	3	{i=2}
-88784	加班加	65564	127340	1	null
-88785	函件	65536	20989	3	{n=1}
-88786	为国	65544	20026	1	null
-88787	企图	65536	20225	3	{v=31, vd=0, vn=1}
-88788	九台	65582	20061	2	{n=0}
-88789	债券	65536	20538	3	{n=55}
-88790	助听器	65536	106362	3	{n=2}
-88791	分散化	65536	128175	3	{v=0}
-88792	助威声	65536	107855	3	{n=0}
-88793	助推器	65536	110326	3	{n=1}
-88794	助桀为	65540	111502	1	null
-88795	助消化	65536	112854	3	{l=1}
-88796	助理员	65536	114516	3	{n=3}
-88797	助纣为	65545	117233	1	null
-88798	劫掠一	65556	99470	1	null
-88799	保险号	65536	125494	3	{n=2}
-88800	励精图	65552	100582	1	null
-88801	劳不矜功	65536	96220	3	{l=0}
-88802	励人	65536	21169	3	{v=1}
-88803	劳动价值	65672	102530	1	null
-88804	劳动密集型	65536	104144	3	{n=7}
-88805	劳动生产	65566	112298	1	null
-88806	劳师动	68561	112068	1	null
-88807	减速剂	65536	123386	3	{n=0}
-88808	劳师动众	65536	88806	3	{i=0}
-88809	劳役地	65546	112437	1	null
-88810	劳民伤	65587	115661	1	null
-88811	劳燕分	65548	117137	1	null
-88812	劳苦功	65541	121506	1	null
-88813	劳逸结合	65536	98124	3	{i=0}
-88814	势利小人	65536	89382	3	{l=0}
-88815	删去	65536	21024	3	{v=3}
-88816	偿命	65536	20607	3	{v=0}
-88817	代表大	65995	110197	1	null
-88818	势单力	65537	99955	1	null
-88819	势均力	65865	100965	1	null
-88820	勃兰登堡	66305	95896	1	null
-88821	出版业	65536	130418	3	{n=7}
-88822	勃然大	65743	98643	1	null
-88823	勇冠三	67933	98255	1	null
-88824	勇冠三军	65536	88823	3	{i=0}
-88825	勇往直前	65536	96046	3	{i=4}
-88826	勉为其	65556	89385	1	null
-88827	兜儿	65536	20828	3	{n=0, q=1}
-88828	勐腊县	65536	98634	3	{ns=0}
-88829	动员会	65536	114228	3	{n=2}
-88830	勒令	65536	21202	3	{v=4}
-88831	募兵制	65536	88868	3	{n=0}
-88832	勤工俭	65988	99339	1	null
-88833	勤杂人员	65536	88836	3	{l=0}
-88834	公安厅	65536	119386	3	{n=7}
-88835	勺儿	65536	21242	3	{n=0}
-88836	勤杂人	67241	101736	1	null
-88837	勿因善	65824	88841	1	null
-88838	勿因善小而不	68813	98448	1	null
-88839	勿因善小而不为	65536	88838	3	{i=0}
-88840	勿施于	68688	92646	1	null
-88841	勿因	66945	21247	1	null
-88842	勿施于人	65536	88840	3	{i=0}
-88843	匀速运动	65536	102387	3	{l=0}
-88844	包乘制	65536	112917	3	{n=0}
-88845	付印	65536	20184	3	{v=0}
-88846	功夫不	65586	109171	1	null
-88847	加油器	65536	125496	3	{n=0}
-88848	包产到	65676	112996	1	null
-88849	势不两	65541	98603	1	null
-88850	包围圈	65536	115121	3	{n=0}
-88851	包工头	65536	116898	3	{n=1}
-88852	井出	65536	20117	3	{nr=0}
-88853	包干制	65536	117039	3	{n=0}
-88854	傣历	65536	20643	3	{n=0}
-88855	包打天	68883	118032	1	null
-88856	兜兜	65536	20828	3	{n=0, v=0}
-88857	倍增	65536	20493	3	{v=3, vn=1}
-88858	之外	65536	20043	3	{f=49}
-88859	伙夫	65536	20249	3	{n=0}
-88860	丑婆	65560	19985	1	null
-88861	农家娃	65536	115070	3	{n=0}
-88862	包打天下	65536	88855	3	{i=0}
-88863	刷刷	65536	21047	3	{o=1, v=0}
-88864	包罗万	65540	125460	1	null
-88865	侄女	65537	20356	2	{n=3}
-88866	包袱井	65536	127854	3	{n=0}
-88867	包裹单	65536	127926	3	{n=0}
-88868	募兵	67785	21215	2	{v=0}
-88869	包购包	65544	129002	1	null
-88870	匈牙利	68023	95255	2	{ns=14}
-88871	亮堂	65536	20142	2	{a=2}
-88872	匈牙利共	67230	88870	1	null
-88873	付款处	65536	94939	3	{n=0}
-88874	匈牙利共和	66606	88872	1	null
-88875	匈牙利共和国	65536	88874	3	{ns=0}
-88876	匍匐	65536	21261	3	{v=2}
-88877	化公为	65577	109142	1	null
-88878	劳而无功	65536	91794	3	{i=1}
-88879	化为乌	65953	108324	1	null
-88880	化学变化	65536	107036	3	{l=0}
-88881	侨办	65536	20392	3	{j=5}
-88882	匈奴	65536	21256	3	{n=0}
-88883	化合价	65536	109810	3	{n=0}
-88884	侨务	65536	20392	3	{n=17}
-88885	化学工业	65536	109609	3	{l=1}
-88886	化学武器	65536	113066	3	{l=2}
-88887	化学药品	65536	119219	3	{n=1}
-88888	出生入	65539	131145	1	null
-88889	化害为	67858	111773	1	null
-88890	加工业	65536	121700	3	{n=7}
-88891	化害为利	65536	88889	3	{l=0}
-88892	公安县	65536	119386	3	{ns=1}
-88893	化整为	65536	114270	1	null
-88894	债务	67142	20538	2	{n=46}
-88895	化油器	65536	116131	3	{n=0}
-88896	化险为	66058	126803	1	null
-88897	化险为夷	65536	88896	3	{i=0}
-88898	化隆县	65536	126832	3	{ns=0}
-88899	北京猿人	65536	100624	3	{n=0}
-88900	北京音乐	67522	110020	1	null
-88901	具体地	65582	88049	1	null
-88902	值夜	65536	20540	3	{v=0}
-88903	北京音乐厅	65536	88900	3	{n=0}
-88904	北仑河口	65536	93389	3	{ns=0}
-88905	北伐军	65536	122305	3	{n=0}
-88906	北伐战争	65536	93126	3	{nz=1}
-88907	北医大	65536	123372	3	{j=0}
-88908	北岳区	65536	125796	3	{ns=2}
-88909	北师大	65536	126137	3	{j=1}
-88910	北教场	65536	128010	3	{ns=0}
-88911	北河乡	65536	129892	3	{ns=3}
-88912	一下子	65536	85515	3	{d=3, m=21}
-88913	一把子	65536	90762	3	{m=0}
-88914	一揽子	65536	91133	3	{l=6, q=0}
-88915	一瓶子	65573	95478	1	null
-88916	一孔	65539	19968	1	null
-88917	一辈子	65536	102280	3	{m=12}
-88918	一阵子	65536	103989	3	{m=3}
-88919	一字	65545	19968	1	null
-88920	一家子	65536	89014	3	{n=0}
-88921	一息尚存	65536	89114	3	{i=0}
-88922	一鼻子	65536	106299	1	null
-88923	万古长存	65536	103822	3	{i=0}
-88924	上党梆子	65536	92294	3	{n=0}
-88925	上辈子	65536	109390	3	{n=0}
-88926	上馆子	65536	111948	3	{v=0}
-88927	下辈子	65536	112131	3	{t=0}
-88928	不复存	65537	105374	1	null
-88929	不孝之子	65536	85742	3	{l=1, n=0}
-88930	不成人子	65536	85771	3	{i=0}
-88931	一年四季	65536	87781	3	{l=8}
-88932	一意孤	65537	90383	1	null
-88933	不法分子	65536	86736	3	{n=8}
-88934	不肖子	65550	115495	1	null
-88935	不肖子孙	65536	88934	3	{i=0}
-88936	丑婆子	65536	88860	3	{n=0}
-88937	专科学	65536	100427	1	null
-88938	丝挂子	65536	91272	3	{n=0}
-88939	丢面子	65536	104663	3	{v=0}
-88940	两下子	65536	87190	3	{n=0}
-88941	两口子	65536	88686	3	{n=0}
-88942	三角学	65536	106483	3	{n=0}
-88943	中国科学	65541	97018	1	null
-88944	中国红十字	65537	86892	1	null
-88945	中山大学	65536	88394	3	{nt=2}
-88946	中路梆子	65536	92296	3	{n=0}
-88947	临床学	65536	95049	3	{n=0}
-88948	丸子	65536	20024	3	{n=0}
-88949	乙种粒子	65536	97427	3	{l=0}
-88950	九三学	65538	87277	1	null
-88951	乡土文学	65536	91544	3	{n=0}
-88952	书呆子	65536	105387	3	{n=1}
-88953	乱摊子	65536	96378	3	{n=0}
-88954	二台子	66039	99626	1	null
-88955	二愣子	65536	103005	3	{n=0}
-88956	二流子	65536	106107	3	{n=1}
-88957	二道贩子	65536	101673	3	{n=0}
-88958	五倍子	65536	104897	2	{n=0}
-88959	五笔字	65536	115912	2	{j=6}
-88960	亚原子	65536	96128	3	{n=1}
-88961	乘晕宁	65536	92532	3	{n=0}
-88962	亚马孙	65540	114253	2	{ns=1}
-88963	交叉科学	65536	96859	3	{n=0}
-88964	互帮互学	65536	86120	3	{l=0}
-88965	人口学	65536	110570	3	{n=0}
-88966	五味子	65536	106023	3	{n=0}
-88967	中药学	65536	118851	3	{n=0}
-88968	人文科学	65536	97339	3	{n=3}
-88969	一方平安	65536	89717	3	{l=4}
-88970	一路平安	65536	89720	3	{i=0}
-88971	人种学	65536	120276	3	{n=0}
-88972	一完	65536	19968	1	null
-88973	人类学	65536	120962	3	{n=3}
-88974	人贩子	65536	125232	3	{n=0}
-88975	仁人君子	65536	87142	3	{i=0}
-88976	令人不安	65536	87604	3	{l=0}
-88977	以攻为守	65536	86260	3	{i=0}
-88978	价电子	65536	96915	3	{n=0}
-88979	价费字	65536	103063	3	{j=0}
-88980	价轻字	65536	103641	3	{j=0}
-88981	京剧学	65536	92694	3	{n=5}
-88982	价重字	65536	104235	3	{j=0}
-88983	万变不离其宗	65536	86396	3	{i=1, n=0}
-88984	主考官	65536	116630	3	{n=1}
-88985	仿生学	65536	97099	3	{n=0}
-88986	一定	65540	19968	2	{b=168, d=198}
-88987	一口咬定	65536	87213	3	{i=0}
-88988	一槌定	65536	92620	1	null
-88989	一言为定	65536	85660	3	{i=0}
-88990	一锤定	65537	103716	1	null
-88991	丁子	65536	19969	3	{m=0, nr=1}
-88992	三落实	65536	105054	3	{j=0}
-88993	一审	65536	19968	3	{b=2, n=0}
-88994	不切实	65536	103576	1	null
-88995	不合时宜	65536	91640	3	{i=2}
-88996	三居室	65536	94822	3	{n=2}
-88997	上方宝	65536	98687	1	null
-88998	丁字	65542	19969	1	null
-88999	不失时宜	65536	91815	3	{l=1}
-89000	不速之客	65536	85829	3	{i=0}
-89001	两居室	65536	90832	3	{n=1}
-89002	严严实	65550	86312	1	null
-89003	万国宫	65536	87921	3	{n=0}
-89004	严严实实	65536	89002	3	{z=4}
-89005	中控室	65536	110715	3	{j=0}
-89006	举棋不定	65536	85988	3	{i=2}
-89007	以销定	66139	121277	1	null
-89008	仆妇	65536	20166	3	{n=0}
-89009	伊埃纳宫	65536	97974	3	{ns=0}
-89010	传家之宝	65536	86331	3	{n=0}
-89011	为民除害	65536	104045	3	{i=0}
-89012	会计学	65536	120573	3	{n=0}
-89013	任人宰	65537	93184	1	null
-89014	一家	65544	19968	2	{n=33, q=0}
-89015	万户千家	65536	86867	3	{i=0}
-89016	万贯家	65536	101795	1	null
-89017	专门家	65536	107618	3	{n=1}
-89018	义不容	65539	90233	1	null
-89019	书画家	65536	113824	3	{n=7}
-89020	书香人家	65536	86072	3	{n=0}
-89021	亲如一家	65536	86282	3	{l=1}
-89022	从从容	65543	102297	1	null
-89023	二十八宿	65536	86832	3	{l=0}
-89024	从从容容	65536	89022	3	{z=1}
-89025	优惠酬宾	65536	103518	3	{l=1}
-89026	万籁俱寂	65536	86003	3	{i=1}
-89027	会客室	65536	108286	3	{n=2}
-89028	不甘寂	65536	112553	1	null
-89029	会议室	65536	120586	3	{n=11}
-89030	传达室	65536	121224	3	{n=0}
-89031	伤天害	65580	92230	1	null
-89032	伦理学	65536	95341	3	{n=2}
-89033	伪君子	65536	90923	3	{n=0}
-89034	代数学	65536	101245	3	{n=0}
-89035	伪科学	65536	100577	3	{n=0}
-89036	伶仃孤	65539	86507	1	null
-89037	低温学	65536	113681	3	{n=0}
-89038	事不宜	65536	94235	1	null
-89039	体无完	65538	111038	1	null
-89040	作曲家	65536	114263	3	{n=6}
-89041	使君子	65536	94237	3	{n=0}
-89042	一暴十寒	65536	86850	3	{i=0}
-89043	使性子	65536	97321	3	{v=0}
-89044	侄外孙	65536	88772	3	{n=0}
-89045	了如	65538	20102	1	null
-89046	俗体字	65536	88155	3	{n=0}
-89047	休息室	65536	95596	3	{n=2}
-89048	保不定	65536	106970	3	{d=0}
-89049	仙后	65546	20185	1	null
-89050	修词学	65536	114628	3	{n=0}
-89051	修辞学	65536	115605	3	{n=0}
-89052	俯首甘为孺	65684	86799	1	null
-89053	主人家	65536	104013	3	{n=1}
-89054	不甘寂寞	65536	89028	3	{i=0}
-89055	习焉不察	65536	86059	3	{i=0}
-89056	人民检察	65548	93914	1	null
-89057	人民警察	65536	102784	3	{l=7, n=0}
-89058	优柔寡	65544	98892	1	null
-89059	亿客	65537	20159	1	null
-89060	俯首甘为孺子	65536	89052	1	null
-89061	候机室	65536	92274	3	{n=0}
-89062	乌兰察	65562	93047	1	null
-89063	五个好	65536	104414	3	{j=0}
-89064	候诊室	65536	101634	3	{n=0}
-89065	倭寇	65536	20525	3	{n=0}
-89066	假嗓子	65536	106764	3	{n=0}
-89067	假道学	65536	121740	3	{n=0}
-89068	份子	65536	20221	3	{n=0}
-89069	交通壕	65536	120068	3	{n=0}
-89070	健力宝	65536	94126	3	{nz=2}
-89071	偷合苟容	65536	99041	3	{i=0}
-89072	储藏室	65536	103224	3	{n=0}
-89073	伴唱	65536	20276	3	{v=2, vn=1}
-89074	会计室	65536	120573	3	{n=0}
-89075	儒学家	65536	89821	3	{n=0}
-89076	儿童文学	65601	92331	2	{l=19}
-89077	万宁	65536	19975	3	{ns=0}
-89078	书法家	65536	111674	3	{n=10}
-89079	儿童文学家	65536	89076	3	{n=1}
-89080	令人发	65541	86269	1	null
-89081	一对	65543	19968	2	{m=4}
-89082	一一对	65537	85504	1	null
-89083	不同寻	65538	104093	1	null
-89084	不良导	65539	115968	1	null
-89085	万安	65536	19975	2	{ns=3}
-89086	万家寨	65536	89130	3	{ns=1}
-89087	东大寺	65536	96841	3	{ns=0}
-89088	云居寺	65536	96516	3	{ns=0}
-89089	佛光寺	65536	97437	3	{ns=0}
-89090	倡导	65634	20513	2	{v=28, vn=4}
-89091	傣味	65536	20643	3	{n=0}
-89092	丙种射	65559	97091	1	null
-89093	乙种射	65574	98545	1	null
-89094	一百单八将	65536	86381	3	{n=3}
-89095	万寿寺	65536	89203	3	{ns=0}
-89096	中郎将	65536	122274	3	{n=1}
-89097	伦琴射	65603	95387	1	null
-89098	九五之尊	65536	86041	3	{i=0}
-89099	伽马射	65604	105145	1	null
-89100	先行官	65536	121632	3	{n=1}
-89101	上下学	65536	92625	3	{j=2}
-89102	中小学	65544	108771	2	{j=31, n=0}
-89103	一小	65536	19968	1	null
-89104	一不小	65537	85517	1	null
-89105	万宝	65537	19975	2	{nz=1}
-89106	不大不小	65536	85738	3	{l=1}
-89107	丝毫不少	65536	85879	3	{l=0}
-89108	丁寅	65536	19969	3	{m=0}
-89109	不过尔尔	65536	89118	3	{i=0}
-89110	中篇小	65547	116891	1	null
-89111	人烟稀少	65536	96768	3	{l=2}
-89112	一尘	65543	19968	1	null
-89113	一路风尘	65536	104659	3	{l=2}
-89114	一息尚	65537	90223	1	null
-89115	为数不少	65536	85963	3	{i=0, l=1}
-89116	人心如	65539	113610	1	null
-89117	仆仆风尘	65536	104669	3	{i=0}
-89118	不过尔	65537	119384	1	null
-89119	伊斯坦布尔	65536	89678	3	{ns=12}
-89120	令人叹	65546	86269	1	null
-89121	侃大	65563	20355	1	null
-89122	侦探小	65571	91225	1	null
-89123	不无小	65536	108657	1	null
-89124	以儆效尤	65536	91467	3	{i=0}
-89125	优抚对	65538	97554	1	null
-89126	做一天和尚	65536	87351	1	null
-89127	僧多粥少	65536	97445	3	{i=0}
-89128	乌拉尔	65536	97488	3	{ns=0}
-89129	光脚板子	65536	92131	3	{l=0}
-89130	万家	65558	19975	1	null
-89131	光芒四射	65536	89810	3	{i=0}
-89132	光辐射	65536	127503	3	{n=0}
-89133	中央委	65539	108034	1	null
-89134	光量子	65536	128078	3	{n=0}
-89135	克丝钳子	65536	103604	3	{n=0}
-89136	克什米尔	65536	97410	3	{ns=0}
-89137	一挥而就	65536	98321	3	{i=0}
-89138	一蹴而就	65536	98326	3	{i=5}
-89139	克分子	65536	104380	3	{n=0}
-89140	一股就	65536	98465	1	null
-89141	克原子	65536	104789	3	{n=0}
-89142	僻字	65536	20731	3	{n=0}
-89143	克尽职守	65536	98415	3	{l=0}
-89144	五马分尸	65536	86548	3	{i=0}
-89145	克拉斯诺亚尔	65558	87476	1	null
-89146	克里姆林宫	65536	92140	3	{ns=7}
-89147	免开尊	66019	103226	1	null
-89148	东斯拉沃尼	65748	93315	1	null
-89149	一网打尽	65536	90707	3	{i=0}
-89150	一言难尽	65536	104224	3	{i=0}
-89151	乌泰他尼	65549	86019	1	null
-89152	丁字尺	65536	88998	3	{n=0}
-89153	中共中央政治局	65536	93371	3	{n=0}
-89154	三角尺	65536	106483	3	{n=0}
-89155	下基层	65536	97909	3	{l=26, vn=0}
-89156	专利局	65536	90275	3	{n=1}
-89157	中上层	65536	105182	3	{f=0, j=0}
-89158	专卖局	65536	90576	3	{n=4}
-89159	中华书局	65536	85926	3	{n=0}
-89160	也就	65542	20063	1	null
-89161	亚美尼	66019	107375	1	null
-89162	交管局	65536	114827	3	{j=5, n=0}
-89163	人粪尿	65536	121009	3	{n=0}
-89164	仁至义尽	65536	86211	3	{i=0}
-89165	从头到尾	65536	86611	3	{i=1}
-89166	从头至尾	65536	98838	3	{i=0}
-89167	传播学	65536	110199	3	{n=0}
-89168	伯尔尼	65536	91002	3	{ns=0}
-89169	供电局	65536	103408	3	{n=8}
-89170	兑取	65536	20817	3	{v=0}
-89171	兔崽子	65536	90813	3	{n=0}
-89172	兜圈子	65536	90308	3	{v=1}
-89173	一展	65539	19968	1	null
-89174	一筹莫展	65536	99243	3	{i=0, l=1}
-89175	中下层	65536	105183	3	{f=1}
-89176	传播发展	65672	87226	1	null
-89177	值班室	65536	95767	3	{n=0}
-89178	书画展	65536	113824	3	{n=9}
-89179	光学家	65536	114149	3	{n=0}
-89180	伸缩尺	65536	99700	3	{n=0}
-89181	作品展	65536	109606	3	{n=7}
-89182	入土为安	65536	87516	3	{l=0}
-89183	仲家	65536	20210	3	{n=0}
-89184	七级浮屠	65536	93550	3	{n=0}
-89185	侄媳	65551	20356	2	{n=1}
-89186	例句	65536	20363	3	{n=0}
-89187	入室弟子	65536	89891	3	{n=2}
-89188	全反射	65536	113535	3	{n=0}
-89189	临深履	65536	98992	1	null
-89190	光电子	65536	120756	3	{n=0}
-89191	全角字	65536	127364	3	{n=0}
-89192	介壳	65536	20171	3	{n=0}
-89193	八方来客	65536	92162	3	{i=1}
-89194	信息化	65536	111589	3	{v=6, vn=8}
-89195	八音匣子	65536	87591	3	{n=0}
-89196	公里/小	65644	65601	1	null
-89197	公路局	65536	132288	3	{n=0}
-89198	公里／小	65645	130849	1	null
-89199	三里屯	65536	108525	3	{ns=0}
-89200	共产党员	65536	88690	3	{b=0, n=39}
-89201	一山	65541	19968	1	null
-89202	万水千山	65536	86871	3	{i=2}
-89203	万寿	65549	19975	1	null
-89204	万花山	65536	99109	3	{ns=0}
-89205	三台山	65555	92689	2	{ns=0}
-89206	三座大山	65536	88360	3	{l=0}
-89207	三清山	65536	99366	3	{ns=6}
-89208	中条山	65536	111669	3	{ns=9}
-89209	上方山	65536	98687	3	{ns=0}
-89210	专一	65542	19987	2	{a=0}
-89211	乌蒙山	65536	106144	3	{ns=1}
-89212	乔然山	65536	94597	3	{ns=0}
-89213	九宫山	65536	90767	3	{ns=0}
-89214	九里山	65991	104624	2	{ns=0}
-89215	九龙山	65536	108157	3	{n=0}
-89216	中国字	65536	107473	3	{n=0}
-89217	东门屿	65536	112394	3	{ns=0}
-89218	乞力马扎罗山	65536	98136	3	{ns=2}
-89219	乱石山	65577	101411	1	null
-89220	云台山	65536	94383	3	{ns=2}
-89221	五指山	65609	109755	2	{ns=0}
-89222	井冈山	66153	88738	2	{ns=7}
-89223	亚历山	65591	96103	1	null
-89224	仲裁委	65536	100714	3	{j=0}
-89225	伍员山	65536	87632	3	{ns=0}
-89226	伏牛山	65536	99709	3	{ns=1}
-89227	休火山	65536	99688	3	{n=0}
-89228	侃大山	65536	89121	3	{l=0}
-89229	债台	65539	20538	1	null
-89230	八宝山	65536	108689	3	{n=0, ns=2}
-89231	六盘山	65536	105512	3	{ns=1}
-89232	共和国宫	65536	89344	3	{n=0}
-89233	兵头官	65620	109074	1	null
-89234	兵头官尾	65536	89233	3	{l=0}
-89235	兵油子	65536	114071	3	{n=0}
-89236	专业	65802	19987	2	{a=2, b=4, n=148}
-89237	书法展	65536	111674	3	{n=0}
-89238	侦察	65814	20390	2	{v=3, vn=0}
-89239	严家岗	65536	89785	3	{ns=0}
-89240	乱坟岗	65536	93071	3	{n=0}
-89241	五显岗	65536	110578	3	{ns=0}
-89242	兑换处	65536	93150	3	{n=0}
-89243	乔治王岛	65536	95118	3	{ns=2}
-89244	伊夫岛	65536	96996	3	{ns=0}
-89245	克里特岛	65536	94851	3	{ns=0}
-89246	兽医学	65536	89520	3	{n=0}
-89247	保温层	65536	115190	3	{n=0}
-89248	内塔尼	67607	120050	1	null
-89249	内当家	65536	121841	3	{n=0}
-89250	人事局	65536	109202	3	{n=2}
-89251	不在少	65541	104889	1	null
-89252	内联外	65556	130290	1	null
-89253	内贸局	65536	133590	3	{j=0}
-89254	军事科学	65536	101143	3	{l=0}
-89255	冗员	65536	20887	3	{n=3}
-89256	冈山	65536	20872	3	{ns=0}
-89257	云顶岩	65536	111925	3	{ns=0}
-89258	伟晶岩	65536	92731	3	{n=0}
-89259	具名	65536	20855	3	{v=0}
-89260	军令如山	65536	88553	3	{i=0}
-89261	上甘岭	65536	102622	3	{ns=2}
-89262	丛山峻岭	65536	89339	3	{i=0}
-89263	中界岭	65536	115232	3	{ns=0}
-89264	八达岭	65536	122034	3	{ns=14}
-89265	丰城	65551	20016	2	{ns=0}
-89266	公主岭	65647	115980	2	{ns=2}
-89267	关税壁	65537	116980	1	null
-89268	保健室	65536	107570	3	{n=0}
-89269	兰因	65536	20848	1	null
-89270	军烈属	65536	126756	3	{j=0, n=4}
-89271	农家宝	65536	115070	3	{nz=0}
-89272	乌拉圭东岸	65574	86017	1	null
-89273	先锋岗	65536	124895	3	{n=0}
-89274	冰冻三尺	65536	87995	3	{i=3}
-89275	农牧区	65536	120879	3	{j=1}
-89276	农工商	65536	115629	3	{j=1, n=0}
-89277	冰盖层	65536	122331	3	{n=0}
-89278	价值学	65536	87450	3	{n=0}
-89279	农艺学	65536	124994	3	{n=0}
-89280	冤家对	65724	93936	1	null
-89281	冶金学	65536	102911	3	{n=0}
-89282	冻土学	65536	92658	3	{n=0}
-89283	准噶尔	65536	101263	3	{ns=2}
-89284	准格尔	65536	105813	3	{ns=0}
-89285	公证员	65536	131730	3	{n=0}
-89286	丙子	65536	19993	3	{m=0}
-89287	凌波仙子	65536	88075	3	{l=1}
-89288	减头去尾	65536	88078	3	{l=0}
-89289	凑份子	65536	91276	3	{v=0}
-89290	凝灰岩	65536	97783	3	{n=0}
-89291	凡夫俗子	65536	88101	3	{i=0}
-89292	凡尔赛宫	65536	101733	3	{ns=0}
-89293	凳子	65536	20979	3	{n=1}
-89294	凶多吉少	65536	88109	3	{i=0}
-89295	出乱子	65536	121243	3	{v=0}
-89296	出尔反尔	65536	88136	3	{i=1}
-89297	争先	65536	20105	2	{d=0, v=3, vn=0}
-89298	争光	65536	20105	2	{v=5, vn=2}
-89299	出岔子	65536	124862	3	{v=0}
-89300	出漏子	65536	129593	3	{v=0}
-89301	出点子	65536	130019	3	{v=2}
-89302	出疹子	65536	131299	3	{v=0}
-89303	个子	65536	20010	3	{n=0}
-89304	击中要害	65536	100753	3	{i=1}
-89305	候审	65536	20505	3	{v=13, vn=4}
-89306	函授大学	65536	88572	3	{n=1}
-89307	分子生物学	65536	94847	3	{n=1}
-89308	关键字	65536	123924	3	{n=0}
-89309	互利	65536	20114	3	{v=12, vd=0, vn=4}
-89310	分析化学	65536	92257	3	{l=0}
-89311	分水岭	65536	129920	3	{n=2}
-89312	切切实	65865	106780	1	null
-89313	三撑峡	65536	96946	3	{ns=0}
-89314	三门峡	65541	109577	2	{ns=0}
-89315	公伯峡	65536	116224	3	{ns=0}
-89316	傲岸	65536	20658	3	{a=2, an=0}
-89317	万山	65536	19975	3	{ns=0}
-89318	分类学	65536	134087	3	{n=0}
-89319	切切实实	65536	89312	3	{z=2}
-89320	刊授大学	65536	88576	3	{n=0}
-89321	出人头	65796	121316	1	null
-89322	刑法学家	65536	90788	3	{n=1}
-89323	五台山	65536	105892	3	{ns=0}
-89324	伟大	65536	20255	3	{a=217, ad=0, an=0}
-89325	军械处	65536	124684	3	{n=0}
-89326	刑罚学	65536	106920	3	{n=0}
-89327	刘公岛	65536	91328	3	{n=0}
-89328	创牌子	65536	114848	3	{v=0}
-89329	初始化	65536	117588	3	{v=0}
-89330	初等数学	65536	91800	3	{n=0}
-89331	二进宫	65536	114965	3	{l=0, nz=0}
-89332	初级中学	65536	88293	3	{l=0}
-89333	万岁	65536	19975	3	{n=2, v=0}
-89334	初级小学	65536	91847	3	{l=0}
-89335	删繁就	65536	99701	1	null
-89336	利勒哈默尔	65536	106200	3	{ns=3}
-89337	人权学	65536	115530	3	{n=1}
-89338	僚属	65536	20698	3	{n=0}
-89339	丛山峻	65537	89545	1	null
-89340	人民团	65884	116760	1	null
-89341	井口	65536	20117	3	{n=0, nr=7}
-89342	侄子	65536	20356	3	{n=0}
-89343	别妻离子	65536	96743	3	{l=1}
-89344	共和国	65765	104080	2	{n=37}
-89345	制药学	65536	122865	3	{n=0}
-89346	刻不容	65567	99634	1	null
-89347	专业对	65542	89236	1	null
-89348	储供	65536	20648	3	{vn=1}
-89349	专事	65536	19987	3	{d=2, j=1}
-89350	刻度尺	65536	103883	3	{n=0}
-89351	侄孙	65573	20356	2	{n=0}
-89352	刽子	65607	21053	1	null
-89353	削足适履	65536	102405	3	{i=1}
-89354	井台	65536	20117	3	{n=1}
-89355	前功尽	65629	121100	1	null
-89356	剧作家	65536	101274	3	{n=7}
-89357	剂型	65536	21058	3	{n=1}
-89358	剥削	65664	21093	2	{v=6, vn=4}
-89359	副伤寒	65536	107588	3	{n=0}
-89360	兽力	65563	20861	1	null
-89361	前半夜	65536	121271	3	{t=0}
-89362	剽取	65536	21117	3	{v=0}
-89363	办事员	65536	99335	3	{n=2}
-89364	功成不居	65536	88756	3	{i=0}
-89365	俗名	65536	20439	3	{n=0}
-89366	功成名就	65666	90292	2	{i=1}
-89367	加利福尼	68605	98820	1	null
-89368	加泰罗尼	68626	98142	1	null
-89369	动力学	65536	113783	3	{n=0}
-89370	冷藏室	65536	126424	3	{n=0}
-89371	人工岛	65536	113132	3	{n=0}
-89372	不拘小	65537	107881	1	null
-89373	冈峦	65536	20872	3	{n=0}
-89374	前半天	65536	121271	3	{t=0}
-89375	冷却器	65536	113533	3	{n=0}
-89376	动荡不安	65536	88778	3	{l=1}
-89377	万岭	65627	19975	1	null
-89378	刨冰	65536	21032	3	{n=0}
-89379	劳什子	65536	108156	3	{n=0}
-89380	典卖	65536	20856	3	{v=0}
-89381	劳作室	65536	108312	3	{n=1}
-89382	势利小	68660	99655	1	null
-89383	勃郎宁	65536	106731	3	{n=0}
-89384	勤俭持家	65536	90899	3	{l=1}
-89385	勉为	67972	21193	1	null
-89386	勤工俭学	65536	88832	3	{l=2}
-89387	办公会	65680	100072	2	{n=4}
-89388	勤工助学	65536	89532	3	{l=0}
-89389	停车场	65536	120100	3	{n=17}
-89390	剩余产	66977	90872	1	null
-89391	勿因善小	65668	88837	1	null
-89392	北京大学	65536	93944	3	{nt=19}
-89393	动荡不定	65536	88778	3	{i=0}
-89394	包身契	65536	129384	3	{n=0}
-89395	化工厂	65536	112335	3	{n=12}
-89396	专人	65536	19987	3	{n=8}
-89397	勾股定	65551	107876	1	null
-89398	亭子	65540	20141	2	{n=0}
-89399	北洋军	65581	129980	1	null
-89400	北爱尔兰	65536	93174	3	{ns=13}
-89401	北界城	65536	132093	3	{ns=0}
-89402	北辰区	65536	138849	3	{ns=1}
-89403	丙寅	65536	19993	3	{b=0, m=0}
-89404	北里奥	65652	139389	1	null
-89405	北里奥格兰	65935	92336	1	null
-89406	匙子	65536	21273	3	{n=0}
-89407	兰坪	65536	20848	3	{ns=1}
-89408	匠心独具	65536	94958	3	{i=1}
-89409	俄克	65542	20420	1	null
-89410	努力	65536	21162	3	{a=106, ad=235, an=175, d=0, v=1}
-89411	债务国	65536	88894	3	{n=1}
-89412	信息台	65536	111589	3	{n=0}
-89413	制造业	65536	126114	3	{n=12}
-89414	倾心尽	66171	95813	1	null
-89415	债权国	65536	94176	3	{n=3}
-89416	匠人	65536	21280	3	{n=1}
-89417	勋业	65536	21195	3	{n=0}
-89418	包装业	65536	127874	3	{n=0}
-89419	匣子	65800	21283	2	{n=0}
-89420	信息司	65536	111589	3	{n=2}
-89421	丧家	65863	20007	1	null
-89422	匹夫之	68233	89429	1	null
-89423	匮乏	65536	21294	3	{v=5, vn=2}
-89424	匹夫之勇	65536	89422	3	{i=0}
-89425	匹马单	65801	106134	1	null
-89426	区党委	65536	105698	3	{n=6}
-89427	化妆品	65536	111216	3	{n=5}
-89428	区内外	65536	105741	3	{f=1}
-89429	匹夫	69379	21305	2	{n=1}
-89430	化装品	65536	123311	3	{n=0}
-89431	区划图	65536	105882	3	{n=4}
-89432	区分值	65536	105870	3	{n=0}
-89433	医马论典	65536	101454	3	{n=1}
-89434	区域化	65536	107367	3	{an=0, v=2, vn=6}
-89435	匿名信	65536	89439	3	{n=0}
-89436	互动	65536	20114	3	{v=1}
-89437	互助	65902	20114	2	{ns=0, v=17, vn=12}
-89438	医务室	65536	105913	3	{n=1}
-89439	匿名	68986	21311	2	{v=0, vn=1}
-89440	侍卫	65536	20365	3	{n=0, v=0}
-89441	匿迹海外	65536	93579	3	{l=0}
-89442	匿迹销声	65536	103700	3	{i=0}
-89443	十三大	65536	113334	3	{j=2}
-89444	十之八	69384	113400	1	null
-89445	十之八九	65536	89444	3	{l=0, m=1}
-89446	十全十	65542	114197	1	null
-89447	俄共	65536	20420	3	{j=0}
-89448	十六进制	65536	102388	3	{n=0}
-89449	两回	65778	20004	1	null
-89450	十四大	65536	115592	3	{j=26}
-89451	凯内	65555	20975	1	null
-89452	侵夺	65536	20405	3	{v=0}
-89453	优生学	65536	102295	3	{n=0}
-89454	十字街头	65536	103497	3	{l=0}
-89455	十字路口	68630	104929	2	{l=5}
-89456	十字路口党	65536	89455	3	{n=1}
-89457	倚坐	65536	20506	3	{v=1}
-89458	刨刀	65536	21032	3	{n=0}
-89459	十室九	65558	116817	1	null
-89460	十年一剑	65536	91185	3	{i=1}
-89461	专任	65536	19987	3	{b=1}
-89462	伪书	65536	20266	3	{n=0}
-89463	十年动乱	65536	92377	3	{nz=0}
-89464	别无出	65561	111527	1	null
-89465	农业党	65536	111586	3	{n=0}
-89466	十年如一	65728	94131	1	null
-89467	十年浩劫	65536	99226	3	{l=1}
-89468	削减	65536	21066	3	{v=29, vn=0}
-89469	互勉	65536	20114	3	{v=1}
-89470	剩余价	68135	90872	1	null
-89471	动物园	65536	121925	3	{n=32}
-89472	十年磨一	68400	102169	1	null
-89473	十年磨一剑	65536	89472	3	{l=1, n=0}
-89474	十恶不	65543	118051	1	null
-89475	十拿九	65536	118700	1	null
-89476	十月革命	65545	104314	2	{l=0, nz=4}
-89477	十有八	69417	119734	1	null
-89478	十有八九	65536	89477	3	{l=1}
-89479	十番乐	65536	123415	3	{n=0}
-89480	十痨九	65543	123541	1	null
-89481	十里堡	65536	130681	3	{ns=2}
-89482	千丝万	65635	114503	1	null
-89483	人机对	65541	115521	1	null
-89484	决胜千	65586	112651	1	null
-89485	十字军	65536	116740	3	{n=0}
-89486	千人一	65563	114660	1	null
-89487	争分	65555	20105	1	null
-89488	北大仓	65536	124888	3	{ns=1}
-89489	俄军	65536	20420	3	{j=3}
-89490	冀南	66416	20864	2	{ns=1}
-89491	千代田区	65536	95625	3	{ns=0}
-89492	千伏安	65536	114745	3	{q=2}
-89493	千伶百俐	65536	95898	3	{l=0}
-89494	千佛山	65536	114821	3	{ns=1}
-89495	千儿八	65566	115305	1	null
-89496	千军万	65556	115397	1	null
-89497	千刀万	68426	115498	1	null
-89498	千刀万剐	65536	89497	3	{i=0}
-89499	千千万	69525	115821	1	null
-89500	千千万万	65536	89499	3	{i=0, m=14}
-89501	千变万	68232	115970	1	null
-89502	千变万化	65536	89501	3	{i=2}
-89503	千古兴亡	65536	91345	3	{l=1}
-89504	千古不变	65536	90474	3	{l=0}
-89505	千古绝唱	65536	102970	3	{l=0}
-89506	千呼万	67711	116134	1	null
-89507	千呼万唤	65536	89506	3	{i=1}
-89508	争创	65536	20105	3	{v=18, vn=0}
-89509	千头万	65681	117342	1	null
-89510	千娇百媚	65536	95904	3	{i=0}
-89511	东山岛	65536	97683	3	{ns=0}
-89512	乡土	65553	20065	2	{n=5}
-89513	千家万	65709	117984	1	null
-89514	千山万	66781	118171	1	null
-89515	千差万	68484	118552	1	null
-89516	信息员	65536	111589	3	{n=2}
-89517	匆促	65536	21254	3	{a=0}
-89518	千山万壑	65536	89514	3	{i=1}
-89519	千差万别	65536	89515	3	{i=4}
-89520	兽医	65848	20861	2	{n=5}
-89521	内阁大	65541	135839	1	null
-89522	千帆竞发	65536	96991	3	{i=0}
-89523	千手堂	65536	119669	3	{ns=0}
-89524	千枚岩	65536	121028	3	{n=0}
-89525	千疮百孔	65536	95906	3	{i=0}
-89526	千真万	65536	125001	1	null
-89527	千秋万代	65536	89533	3	{i=0}
-89528	千秋大业	65536	92381	3	{i=0}
-89529	千篇一	66028	126193	1	null
-89530	千虑一	66702	128891	1	null
-89531	两地	65536	20004	3	{n=14}
-89532	勤工助	65990	99339	1	null
-89533	千秋万	69332	125685	1	null
-89534	伤亡	65598	20260	2	{v=5, vn=13}
-89535	千虑一失	65536	89530	3	{i=0}
-89536	千言万	65641	129834	1	null
-89537	千载一	65717	131239	1	null
-89538	千辛万	65546	131269	1	null
-89539	千里之行始	69430	100493	1	null
-89540	千里之行始于	65545	89539	1	null
-89541	千里之行始于足下	65536	101820	3	{i=0}
-89542	千金一	65631	131835	1	null
-89543	千钧一发	65536	89546	3	{i=0}
-89544	千难万	65577	133096	1	null
-89545	丛山	65536	19995	1	null
-89546	千钧一	68086	132561	1	null
-89547	升堂入	66088	110572	1	null
-89548	升堂入室	65536	89547	3	{i=0}
-89549	升级换代	65536	90981	3	{l=3}
-89550	午餐会	65536	113596	3	{n=3}
-89551	世界屋	65536	97124	1	null
-89552	半信半	65540	121079	1	null
-89553	半停产	65536	121202	3	{v=2, vn=4}
-89554	关系学	65536	117729	3	{n=0}
-89555	半制品	65536	121676	3	{n=0}
-89556	丧尽	65563	20007	1	null
-89557	半劳动	68411	121801	1	null
-89558	半劳动力	65536	89557	3	{l=0}
-89559	半吊子	65536	122144	3	{n=0}
-89560	半吞半	68042	122164	1	null
-89561	侨商	65536	20392	3	{n=0}
-89562	半吞半吐	65536	89560	3	{i=0}
-89563	半壁江山	65536	93307	3	{i=2}
-89564	个展	65536	20010	3	{j=0}
-89565	一马平川	65536	89719	3	{i=0}
-89566	下萨克森州	65536	92398	3	{ns=2}
-89567	不来梅州	65536	92295	3	{ns=0}
-89568	亳州	65596	20147	2	{ns=0}
-89569	丘岗	65536	19992	3	{n=1}
-89570	乳燕营巢	65536	99365	3	{i=1}
-89571	伯南布哥州	65536	87271	3	{ns=0}
-89572	佛罗里达州	65536	102339	3	{ns=2}
-89573	不惜工	65538	107373	1	null
-89574	五个一工	65542	86122	1	null
-89575	产业化工	65543	87125	1	null
-89576	事无巨	65568	100334	1	null
-89577	俄亥俄州	65536	86676	3	{ns=0}
-89578	俄克拉何马州	65536	105083	3	{ns=0}
-89579	俄勒冈州	65536	86680	3	{ns=0}
-89580	偷奸取巧	65536	87364	3	{l=0}
-89581	保养工	65536	107848	3	{n=0}
-89582	一差	65538	19968	1	null
-89583	一念之差	65536	85587	3	{i=0}
-89584	三大差	65536	94024	1	null
-89585	严于律己	65536	89998	3	{i=3}
-89586	万不得已	65536	90010	3	{i=0}
-89587	严以律己	65536	89999	3	{l=1}
-89588	下里巴	65545	112711	1	null
-89589	不能自己	65536	99097	3	{i=1}
-89590	个别差	65538	86962	1	null
-89591	万人空巷	65536	96894	3	{i=1}
-89592	东交民巷	65536	93201	3	{ns=0}
-89593	专使	65536	19987	3	{n=0}
-89594	中直工	65539	115656	1	null
-89595	乌兰巴	65537	93047	1	null
-89596	不为已	65536	102603	1	null
-89597	为时已	65537	92619	1	null
-89598	事不关己	65536	86437	3	{i=0}
-89599	二氧杂环己	65536	95153	1	null
-89600	亚的斯亚贝巴	65536	101661	3	{ns=0}
-89601	傻儿巴	65882	94683	1	null
-89602	万县市	65536	87091	3	{ns=1}
-89603	三亚市	65536	91323	3	{ns=6}
-89604	三明市	65536	97327	3	{ns=0}
-89605	三河市	65536	99028	3	{ns=0}
-89606	一帆	65537	19968	1	null
-89607	三门峡市	65536	89314	3	{ns=3}
-89608	上饶市	65536	111932	3	{ns=0}
-89609	下诹访市	65536	101311	3	{ns=0}
-89610	上海市	65536	100669	3	{ns=50}
-89611	下诺夫戈罗德市	65536	90041	3	{ns=0}
-89612	东台市	65536	95506	3	{ns=0}
-89613	东港市	65536	102225	3	{ns=1}
-89614	东莞市	65536	107712	3	{ns=0}
-89615	东阳市	65536	112469	3	{ns=0}
-89616	中小城市	65536	88182	3	{j=2}
-89617	丰城市	65536	89265	3	{ns=0}
-89618	丰田市	65536	96787	3	{ns=0}
-89619	临汾市	65536	98621	3	{ns=0}
-89620	临沂市	65536	98625	3	{ns=3}
-89621	临湘市	65536	99095	3	{ns=1}
-89622	丹东市	65536	86044	3	{ns=5}
-89623	丹江口市	65536	87019	3	{ns=2}
-89624	丹阳市	65536	104499	3	{ns=0}
-89625	为人师	65538	86671	1	null
-89626	主任医师	65536	86898	3	{l=6, n=0}
-89627	丽水市	65536	93525	3	{ns=0}
-89628	义乌市	65536	90296	3	{ns=0}
-89629	乌兰察布	65536	89062	1	null
-89630	乌兰巴托市	65536	90713	3	{ns=0}
-89631	乌兰浩特市	65536	94843	3	{ns=0}
-89632	乌海市	65536	100222	3	{ns=0}
-89633	乐山市	65536	96036	3	{ns=1}
-89634	乐平市	65536	96550	3	{ns=0}
-89635	乐清市	65536	100536	3	{ns=0}
-89636	乐陵市	65536	110888	3	{ns=0}
-89637	中山市	65536	108869	3	{ns=3}
-89638	一带	65536	19968	3	{m=0, n=6}
-89639	一笔带	65536	97044	1	null
-89640	一衣带	65538	100451	1	null
-89641	主治医师	65536	86903	3	{l=4}
-89642	中医师	65536	106511	3	{n=0}
-89643	东营市	65536	107847	3	{ns=0}
-89644	乘风扬帆	65536	90736	3	{l=0}
-89645	一席	65542	19968	1	null
-89646	丐帮	65536	19984	3	{n=0}
-89647	主宾席	65536	107345	3	{n=0}
-89648	九台市	65536	88788	3	{ns=1}
-89649	习字帖	65536	90471	3	{n=0}
-89650	书包带	65536	105066	3	{n=0}
-89651	乳山市	65536	94527	3	{ns=0}
-89652	五常市	65536	108524	3	{ns=2}
-89653	亚凯迪严市	65536	86135	3	{ns=2}
-89654	亚热带	65536	103630	3	{n=3}
-89655	亚麻布	65536	115356	3	{n=0}
-89656	一反常	65536	86989	1	null
-89657	三纲五常	65536	85663	3	{i=1}
-89658	不同寻常	65536	89083	3	{i=4}
-89659	不如意事常	65562	85740	1	null
-89660	习以为常	65536	86058	3	{i=1}
-89661	乌纱帽	65536	104632	3	{n=5}
-89662	亳州市	65536	89568	3	{ns=0}
-89663	人之常	65545	109138	1	null
-89664	仁怀市	65536	91837	3	{ns=0}
-89665	介休市	65536	86662	3	{ns=0}
-89666	丁巳	65536	19969	3	{m=0}
-89667	从化市	65536	103393	3	{ns=1}
-89668	仙桃市	65536	94222	3	{ns=0}
-89669	不修边幅	65536	102331	3	{i=0}
-89670	仪征市	65536	90787	3	{ns=4}
-89671	万古常	65536	87128	1	null
-89672	任人摆布	65536	91211	3	{l=0}
-89673	乌鲁木齐市	65536	106323	3	{ns=3}
-89674	伊东市	65536	94165	3	{ns=0}
-89675	七巧	65539	19971	1	null
-89676	伊宁市	65536	97594	3	{ns=0}
-89677	令尊	65536	20196	3	{n=0}
-89678	伊斯坦布	65547	88013	1	null
-89679	伊春市	65536	100318	3	{ns=0}
-89680	传帮带	65536	108536	3	{j=1}
-89681	传送带	65536	121291	3	{n=0}
-89682	伯南布	65538	88765	1	null
-89683	义务工	65536	91405	3	{n=2}
-89684	乙地	65536	20057	3	{n=1}
-89685	伽师	65536	20285	3	{ns=2}
-89686	会计师	65536	120573	3	{n=5}
-89687	余姚市	65536	104744	3	{ns=2}
-89688	传动带	65536	105586	3	{n=0}
-89689	佛山市	65536	100293	3	{ns=1}
-89690	佳木斯市	65536	91575	3	{ns=0}
-89691	伦巴	65536	20262	3	{n=0}
-89692	估价师	65536	87299	3	{n=0}
-89693	保定市	65536	110439	3	{ns=5}
-89694	保山市	65536	110654	3	{ns=0}
-89695	修脚师	65536	111889	3	{n=0}
-89696	个人崇	65538	86081	1	null
-89697	偃师市	65536	89804	3	{ns=6}
-89698	付诸实	65538	103317	1	null
-89699	儋州	65634	20747	2	{ns=1}
-89700	儋州市	65536	89699	3	{ns=0}
-89701	儿皇帝	65536	97699	3	{n=0}
-89702	先人后己	65536	87398	3	{i=0}
-89703	光绪帝	65536	123241	3	{n=0}
-89704	专修	65537	19987	2	{v=1, vn=0}
-89705	光荣席	65536	124386	3	{n=0}
-89706	克拉玛依市	65536	87480	3	{ns=2}
-89707	全国人大常	65549	88510	1	null
-89708	伪作	65536	20266	3	{n=3}
-89709	全国总工	67290	92191	1	null
-89710	九江市	65536	95043	3	{ns=2}
-89711	兖州	65536	20822	3	{ns=3}
-89712	先进岗	65536	123567	3	{n=2}
-89713	公主岭市	65536	89266	3	{ns=1}
-89714	一干	65539	19968	1	null
-89715	一平	65540	19968	1	null
-89716	一年	65546	19968	1	null
-89717	一方平	65536	91577	1	null
-89718	一并	65536	19968	3	{d=2}
-89719	一马平	65536	105068	1	null
-89720	一路平	65537	101871	1	null
-89721	万丈高楼平	65539	92540	1	null
-89722	三步并	65537	98694	1	null
-89723	三生有幸	65536	91913	3	{i=0}
-89724	不减当年	65536	89941	3	{i=0}
-89725	不惑之年	65536	85766	3	{i=1}
-89726	不稳平	65536	113860	1	null
-89727	中央人民广	65536	93210	1	null
-89728	中老年	65787	117973	2	{n=1}
-89729	中青年	65536	123942	3	{j=15}
-89730	习近平	65536	103905	3	{nr=500}
-89731	乳臭未干	65536	91956	3	{i=0}
-89732	举止端庄	65536	97046	3	{l=0}
-89733	两基	65536	20004	3	{j=5}
-89734	于林庄	65579	92526	1	null
-89735	丰收年	65536	92697	3	{n=7}
-89736	义和庄	65536	91896	3	{ns=2}
-89737	五七干	65538	104375	1	null
-89738	代远年	65536	112105	1	null
-89739	严守	65536	20005	3	{v=3}
-89740	以工代干	65536	86258	3	{l=0}
-89741	传家宝	65536	107904	3	{n=0}
-89742	侥幸	65536	20389	3	{a=2, ad=2, an=1}
-89743	主程序	65536	115102	3	{n=0}
-89744	三顾茅庐	65536	99077	3	{i=0}
-89745	井然有序	65536	92530	3	{i=2}
-89746	企业家	65536	86511	3	{n=54}
-89747	了局	65536	20102	3	{n=0, v=0}
-89748	一应	65536	19968	1	null
-89749	一一对应	65536	89082	3	{l=0}
-89750	一储到底	65536	86576	3	{l=0}
-89751	一呼百应	65536	95872	3	{i=0}
-89752	一抓到底	65536	86578	3	{l=1}
-89753	上半年	65536	93968	3	{t=31}
-89754	下半年	65536	96709	3	{t=36}
-89755	专营店	65536	103071	3	{n=1}
-89756	一府	65538	19968	1	null
-89757	专卖店	65536	90576	3	{n=7}
-89758	东昌府	65575	100142	1	null
-89759	不可偏废	65536	86355	3	{i=1}
-89760	不预则废	65536	86558	3	{i=1}
-89761	严实	65536	20005	3	{a=0, ad=0}
-89762	中华人民共和国政府	65536	91457	3	{n=0}
-89763	中国政府	65536	91752	3	{n=0}
-89764	中央政府	65536	92056	3	{n=9}
-89765	临机应	65541	97273	1	null
-89766	一度	65536	19968	3	{d=44, m=1, n=0}
-89767	一年一度	65536	85514	3	{i=23}
-89768	中纬度	65536	117632	3	{n=1}
-89769	乌泰他尼府	65536	89151	3	{ns=0}
-89770	乡政府	65536	93128	3	{n=12}
-89771	云南府	65536	94230	3	{ns=0}
-89772	二郎庙	65536	115208	3	{ns=0}
-89773	互感应	65536	93139	3	{n=0}
-89774	五金店	65536	121733	3	{n=0}
-89775	京都府	65536	108716	3	{ns=0}
-89776	仓满库	65536	95319	1	null
-89777	仙后座	65536	89049	3	{n=0}
-89778	代销店	65536	113421	3	{n=1}
-89779	以不变应	66275	87160	1	null
-89780	以己度	66105	107182	1	null
-89781	仿真度	65536	97611	3	{n=0}
-89782	伊尔库	65538	97741	1	null
-89783	低纬度	65536	117908	3	{n=0}
-89784	中药店	65536	118851	3	{n=0}
-89785	严家	65536	20005	1	null
-89786	供不应	65536	93384	1	null
-89787	依存度	65536	96365	3	{n=0}
-89788	便民店	65536	107745	3	{n=0}
-89789	保守党政府	65536	91470	3	{n=0}
-89790	保真度	65536	117484	3	{n=0}
-89791	修旧利废	65536	86792	3	{i=0}
-89792	修鞋店	65536	117634	3	{n=0}
-89793	乘客	65536	20056	3	{n=28}
-89794	倒闭年	65536	123330	3	{n=1}
-89795	今年底	65536	95453	3	{t=0}
-89796	临时工	65536	96949	3	{n=8}
-89797	介子	65536	20171	3	{n=1}
-89798	仇家	65536	20167	3	{n=0}
-89799	倾斜度	65536	97310	3	{n=0}
-89800	俄勒	65808	20420	1	null
-89801	严密	65536	20005	3	{a=11, ad=3, an=0, v=0}
-89802	为政不廉	65536	85964	3	{l=1}
-89803	亭榭画廊	65536	95549	3	{i=0}
-89804	偃师	65631	20547	2	{ns=1}
-89805	光洁度	65536	118656	3	{n=0}
-89806	停机库	65536	109816	3	{n=0}
-89807	储备库	65536	91760	3	{n=0}
-89808	光电效应	65536	91742	3	{l=0}
-89809	井喷	65536	20117	3	{v=0}
-89810	光芒四	65575	124177	1	null
-89811	乔庄	65573	20052	2	{ns=0}
-89812	八里庄	65536	122560	3	{ns=0}
-89813	严寒	65536	20005	3	{a=10, an=31, n=1}
-89814	僻巷	65536	20731	3	{n=0}
-89815	兰州市	65536	91059	3	{ns=4}
-89816	关帝庙	65536	109827	3	{ns=0}
-89817	俯首帖	65583	106570	1	null
-89818	关联度	65536	118586	3	{n=3}
-89819	仪容	65536	20202	3	{n=0}
-89820	兴义市	65536	108920	3	{ns=2}
-89821	儒学	65597	20754	2	{n=0}
-89822	兴化市	65536	110149	3	{ns=0}
-89823	兴宁市	65536	112304	3	{ns=0}
-89824	兴平市	65536	113058	3	{ns=0}
-89825	养路工	65536	119726	3	{n=12}
-89826	丰姿	65536	20016	2	{n=0}
-89827	兼收并	65537	107825	1	null
-89828	冀州市	65536	92185	3	{ns=0}
-89829	内华达州	65536	102341	3	{ns=2}
-89830	内江市	65536	125181	3	{ns=0}
-89831	不得已	65553	107048	2	{a=2, ad=0, d=0, l=0}
-89832	万年	65537	19975	2	{m=1}
-89833	冗余度	65536	87976	3	{n=0}
-89834	兜售	65536	20828	3	{v=5, vn=0}
-89835	军事法庭	65536	97819	3	{l=1}
-89836	农电工	65536	121597	3	{n=14}
-89837	农贸市	65642	127744	1	null
-89838	冤沉海底	65536	93571	3	{i=0}
-89839	冲床工	65536	110252	3	{n=0}
-89840	人民政府	65536	93017	3	{l=98}
-89841	冲积平	66597	117265	1	null
-89842	从容就	66182	105604	1	null
-89843	众乡	66150	20247	1	null
-89844	冷加工	65536	113321	3	{v=0}
-89845	伤俘	65536	20260	3	{n=0}
-89846	人才库	65536	114260	3	{n=6}
-89847	停车处	65536	120100	3	{n=0}
-89848	冷水江市	65536	93382	3	{ns=2}
-89849	凉山州	65536	105520	3	{ns=2}
-89850	上层建	65536	96264	1	null
-89851	军民共建	65548	87922	2	{l=10}
-89852	举国	66006	20030	1	null
-89853	凌海市	65536	99500	3	{ns=0}
-89854	凌源市	65536	99781	3	{ns=0}
-89855	凹凸不平	65536	88110	3	{l=0}
-89856	三七开	65536	91172	3	{n=0}
-89857	三公开	65536	92045	3	{j=0}
-89858	两公开	65536	88055	3	{j=0}
-89859	丢盔弃	65540	96329	1	null
-89860	个别差异	65536	89590	3	{l=0}
-89861	从五开	65538	102239	1	null
-89862	伪政府	65536	95311	3	{n=0}
-89863	信口开	65550	108377	1	null
-89864	万应	65536	19975	1	null
-89865	党同伐异	65536	87503	3	{i=0}
-89866	兴利除弊	65536	104050	3	{i=1}
-89867	冷却塔	65536	113533	3	{n=2}
-89868	凉白开	65536	112188	3	{n=0}
-89869	减速器	65536	123386	3	{n=0}
-89870	出公差	65536	122006	3	{v=0}
-89871	一体式	65536	85843	3	{b=1}
-89872	一招一式	65536	85532	3	{l=2}
-89873	二项式	65536	117171	3	{n=0}
-89874	交互式	65536	103292	3	{b=0, n=1}
-89875	不等式	65536	114138	3	{n=0}
-89876	主动脉弓	65536	98618	3	{l=0}
-89877	万有引	65540	92029	1	null
-89878	仓储式	65536	87582	3	{b=2}
-89879	互通式	65536	105166	3	{b=2}
-89880	价值形式	65536	90298	3	{l=0}
-89881	会话式	65536	120633	3	{n=0}
-89882	作坊式	65536	110255	3	{b=3, n=0}
-89883	假模假式	65536	87333	3	{l=0}
-89884	全封闭式	65536	103950	3	{n=1}
-89885	内涵式	65536	125523	3	{b=1, n=1}
-89886	伊斯兰式	65536	86487	3	{b=1}
-89887	亲兄弟	65536	96288	3	{n=0}
-89888	亲如兄弟	65536	87118	3	{l=0}
-89889	五四式	65536	106639	3	{b=0}
-89890	专储	65536	19987	1	null
-89891	入室弟	65811	114115	1	null
-89892	产业工	66003	93336	1	null
-89893	公因式	65536	118193	3	{n=0}
-89894	丝竹管弦	65536	97187	3	{n=2}
-89895	传统式	65536	116905	3	{b=0}
-89896	内置式	65536	130060	3	{b=0}
-89897	内联外引	65536	89252	3	{l=0}
-89898	兄弟	65643	20804	2	{n=47}
-89899	冬暖式	65536	111618	3	{b=0}
-89900	凭证式	65536	109756	3	{b=2, n=0}
-89901	儒家	65536	20754	3	{n=6, nz=0}
-89902	世外	65536	19990	1	null
-89903	传奇式	65536	107281	3	{b=0}
-89904	出弦度	65536	125520	3	{n=1}
-89905	上下床	65536	92625	3	{n=0}
-89906	不甘示弱	65536	96572	3	{i=1}
-89907	以强凌弱	65536	86479	3	{l=0}
-89908	信阳市	65536	125353	3	{ns=0}
-89909	分列式	65536	123235	3	{n=0}
-89910	人寿年	66160	112646	1	null
-89911	分立式	65536	133655	3	{b=1}
-89912	刚柔并	65558	107548	1	null
-89913	以珠弹	65537	112797	1	null
-89914	三改一加强	65536	86690	3	{j=2, n=0}
-89915	以弱胜强	65536	98526	3	{l=0}
-89916	不畏强	65537	112608	1	null
-89917	中子弹	65536	108580	3	{n=0}
-89918	先下手为强	65536	87397	3	{i=1, l=0, n=0}
-89919	兼容并	66489	105396	1	null
-89920	准确度	65536	109959	3	{n=1}
-89921	人民大	65942	116760	1	null
-89922	凝冻	65536	20957	3	{v=0}
-89923	公开墙	65536	120273	3	{n=0}
-89924	不定式	65536	106027	3	{n=0}
-89925	初出茅庐	65536	99078	3	{i=0}
-89926	判别式	65536	94728	3	{n=0}
-89927	刨根问底	65536	103959	3	{i=0}
-89928	利川市	65536	113012	3	{ns=0}
-89929	利福平	65536	120102	3	{n=0}
-89930	利血平	65536	123863	3	{n=0}
-89931	别具匠	65635	106302	1	null
-89932	众人	65537	20247	2	{n=6}
-89933	丘布	65536	19992	1	null
-89934	别树一帜	65536	88591	3	{i=0}
-89935	凹坑	65536	20985	3	{n=0}
-89936	业已	65536	19994	3	{d=12}
-89937	制片厂	65536	118473	3	{n=13}
-89938	久假不归	65536	85992	3	{i=0}
-89939	丁零当	65536	104261	1	null
-89940	万夫莫当	65536	99244	3	{i=0}
-89941	不减当	65544	103520	1	null
-89942	不敢当	65536	108531	3	{l=2}
-89943	一马当	65539	105068	1	null
-89944	交通局	65536	120068	3	{n=12}
-89945	以一当	65617	103101	1	null
-89946	众望所归	65536	90718	3	{i=2}
-89947	停停当	65545	103962	1	null
-89948	停停当当	65536	89947	3	{z=0}
-89949	创纪录	65536	118014	3	{v=4, vn=1}
-89950	前些年	65536	120072	3	{t=9}
-89951	争取	65536	20105	3	{v=129, vn=0}
-89952	前功尽弃	65536	89355	3	{i=3}
-89953	农艺师	65536	124994	3	{n=6}
-89954	三边形	65536	107994	3	{n=0}
-89955	五边形	65536	121197	3	{n=0}
-89956	倒卵形	65536	106314	3	{n=0}
-89957	产业带	65536	93336	3	{n=0}
-89958	业师	65536	19994	3	{n=0}
-89959	倒梯形	65536	111748	3	{n=1}
-89960	丁字形	65536	88998	3	{n=0}
-89961	丙巳	65536	19993	3	{m=0}
-89962	三角形	65536	106483	3	{n=0}
-89963	丰富多彩	65536	88435	3	{i=37}
-89964	全等形	65536	123643	3	{n=0}
-89965	六边形	65536	111881	3	{n=0}
-89966	几何图形	65536	90132	3	{l=0}
-89967	凸多边形	65536	102333	3	{n=0}
-89968	众目昭彰	65536	91711	3	{i=0}
-89969	倩影	65536	20521	3	{n=1}
-89970	刀光剑影	65536	88175	3	{i=2}
-89971	代数式	65536	101245	3	{n=0}
-89972	刀光血影	65536	101982	3	{l=1}
-89973	侨团	65536	20392	3	{j=1}
-89974	前呼后应	65536	88651	3	{i=0}
-89975	前街后巷	65536	88657	3	{l=0}
-89976	剑拔弩	65626	95338	1	null
-89977	三大战役	65536	90650	3	{nz=4}
-89978	剑拔弩张	65536	89976	3	{i=1}
-89979	剪刀差	65536	103697	3	{n=0}
-89980	不分彼	65540	103575	1	null
-89981	儒将	65536	20754	3	{n=3}
-89982	削发	65536	21066	3	{v=0}
-89983	剿共	65536	21119	3	{v=2}
-89984	一往	65543	19968	1	null
-89985	一如既往	65536	91618	3	{i=18}
-89986	万里长征	65536	103821	3	{i=0}
-89987	不咎既往	65536	91635	3	{i=0}
-89988	丝巾	65536	19997	3	{n=0}
-89989	严阵以待	65536	85905	3	{i=1}
-89990	世界市	65538	97124	1	null
-89991	互惠待	65537	93076	1	null
-89992	为害	65536	20026	3	{v=0}
-89993	人来人往	65536	86190	3	{i=3}
-89994	七弦	65536	19971	1	null
-89995	一律	65536	19968	3	{a=0, d=34}
-89996	三一律	65536	91169	3	{n=0}
-89997	不相干	65536	113033	3	{l=0}
-89998	严于律	65536	86417	1	null
-89999	严以律	65538	86504	1	null
-90000	严以自律	65536	98798	3	{i=0}
-90001	串并	65538	20018	1	null
-90002	不法之徒	65536	85781	3	{n=0}
-90003	主旋律	65536	109918	3	{n=14}
-90004	亡命之徒	65536	86144	3	{i=1}
-90005	亟待	65538	20127	2	{v=5}
-90006	争名	65558	20105	1	null
-90007	一得	65543	19968	1	null
-90008	一举两得	65536	85544	3	{i=1}
-90009	一人得	65537	85690	1	null
-90010	万不得	65536	85633	1	null
-90011	不可多得	65536	88606	3	{i=0}
-90012	不由得	65536	112578	3	{d=2}
-90013	不见得	65536	117842	3	{d=1, l=0}
-90014	个人所得	65537	91033	2	{n=0}
-90015	世妇	65610	19990	1	null
-90016	五角形	65536	119686	3	{n=1}
-90017	为富	65979	20026	1	null
-90018	丁当	65536	19969	3	{o=0}
-90019	乍得	65536	20045	3	{ns=1}
-90020	了不得	65536	86112	3	{a=0}
-90021	令人神往	65536	98693	3	{i=0}
-90022	以礼相待	65536	95999	3	{i=0}
-90023	以诚相待	65536	96000	3	{i=1}
-90024	以逸待	65573	120053	1	null
-90025	价值规律	65536	101148	3	{l=3}
-90026	企足而待	65536	98368	3	{i=0}
-90027	佛教徒	65536	102573	3	{n=0}
-90028	丝带	65536	19997	3	{n=0}
-90029	你来我往	65536	90669	3	{i=0, l=1}
-90030	些微	65536	20123	3	{b=1, d=1, m=0}
-90031	交通岗	65536	120068	3	{n=4}
-90032	体贴入微	65536	86519	3	{i=0}
-90033	使不得	65536	92687	3	{l=0}
-90034	便携式	65536	105738	3	{b=1}
-90035	交通岛	65536	120068	3	{n=0}
-90036	俗话说得	65568	101402	1	null
-90037	信而有征	65536	92101	3	{i=0}
-90038	倔强	65536	20500	3	{a=1, ad=0}
-90039	三从四德	65536	87771	3	{i=1}
-90040	一心一德	65536	85525	3	{i=0}
-90041	下诺夫戈罗德	65545	98135	1	null
-90042	不道德	65536	119524	3	{a=5}
-90043	仁义道德	65536	102501	3	{i=0}
-90044	以怨报德	65536	90792	3	{i=0}
-90045	乖巧	65536	20054	3	{a=2}
-90046	争吵	65536	20105	3	{v=2, vn=3}
-90047	两头	65536	20004	3	{f=3, n=1}
-90048	与年	65540	19982	1	null
-90049	修身砺德	65536	96717	3	{i=0}
-90050	位子	65536	20301	3	{n=3}
-90051	一心	65557	19968	2	{d=8, m=0}
-90052	一不小心	65536	89104	3	{l=1}
-90053	一条心	65536	92001	3	{n=3}
-90054	一见倾心	65536	86079	3	{i=0}
-90055	一门心	65536	103912	1	null
-90056	万众一心	65536	85599	3	{i=0, l=3}
-90057	万箭穿心	65536	96895	3	{i=0}
-90058	上下一心	65536	85671	3	{l=2}
-90059	上下齐心	65536	106487	3	{i=2}
-90060	上进心	65536	109473	3	{n=2}
-90061	七彩	65536	19971	3	{n=1}
-90062	下决心	65536	96302	3	{v=9}
-90063	下定决心	65536	86452	3	{l=0}
-90064	下狠心	65536	104795	3	{l=0}
-90065	不得人心	65536	85935	3	{i=4}
-90066	了却心	65539	87495	1	null
-90067	于心不忍	65536	86111	3	{l=0}
-90068	于心何忍	65536	86439	3	{i=0}
-90069	人同此心	65536	93040	3	{i=0}
-90070	人面兽心	65536	86463	3	{i=0}
-90071	三国志	65536	93470	3	{n=2, nz=0}
-90072	专心致志	65536	99148	3	{i=2}
-90073	乐以忘	65537	92568	1	null
-90074	乐而忘	65538	105151	1	null
-90075	丢三忘	65540	85886	1	null
-90076	令人寒心	65536	91129	3	{l=1}
-90077	低首下心	65536	86517	3	{i=0}
-90078	佛口蛇心	65536	100040	3	{i=0}
-90079	促膝谈心	65536	102391	3	{i=2}
-90080	信赏必	65536	123077	1	null
-90081	事业心	65536	94248	3	{n=3}
-90082	做贼心	65536	115963	1	null
-90083	专心一志	65536	85848	3	{i=0}
-90084	全聚德	65536	124940	3	{nz=0}
-90085	侵害	65536	20405	3	{v=3, vn=3}
-90086	保管室	65536	118638	3	{n=0}
-90087	为国分忧	65536	86542	3	{l=5}
-90088	乐以忘忧	65536	90073	3	{i=0}
-90089	令人堪忧	65536	90193	3	{l=1}
-90090	令人担忧	65536	92908	3	{l=4}
-90091	一吐为快	65536	85563	3	{i=0}
-90092	乘龙快	65536	107192	1	null
-90093	亲痛仇快	65536	86167	3	{i=0}
-90094	允当	65536	20801	3	{a=0}
-90095	七律	65536	19971	3	{n=0}
-90096	侠客	65536	20384	3	{n=1}
-90097	伞形	65536	20254	3	{n=0}
-90098	先天下之忧	65634	87412	1	null
-90099	僧多	65536	20711	1	null
-90100	先天下之忧而忧	65536	98414	3	{i=0, l=1, n=0}
-90101	一念	65544	19968	1	null
-90102	俺家	65536	20474	3	{r=2}
-90103	先睹为快	65536	87419	3	{i=0}
-90104	公而忘	65562	128733	1	null
-90105	兴高彩	65542	128519	1	null
-90106	光学录	65542	114149	1	null
-90107	具体而微	65536	99361	3	{i=0}
-90108	仰天	65614	20208	2	{d=2}
-90109	一忽	65541	19968	1	null
-90110	严峻	65536	20005	3	{a=49, ad=0, an=0}
-90111	傻傻忽	65539	94551	1	null
-90112	傻傻忽忽	65536	90111	3	{z=0}
-90113	一反常态	65536	89656	3	{i=0}
-90114	乌斯怀	65896	98230	1	null
-90115	世界广	65545	97124	1	null
-90116	不可开	65593	104064	1	null
-90117	中子态	65536	108580	3	{n=0}
-90118	全身心	65536	128605	3	{b=0, d=2}
-90119	仰头	65536	20208	3	{v=0}
-90120	共振态	65536	107827	3	{n=0}
-90121	冷藏库	65536	126424	3	{n=0}
-90122	侗寨	65536	20375	3	{n=0}
-90123	凯旋归	65737	94641	1	null
-90124	候车室	65536	102558	3	{n=3}
-90125	九天	65536	20061	3	{n=1}
-90126	久已	65536	20037	3	{d=0}
-90127	伴奏	65536	20276	3	{v=4, vn=2}
-90128	出以公心	65536	88118	3	{i=1, l=0}
-90129	分中心	65536	122233	3	{n=0}
-90130	一怒	65545	19968	1	null
-90131	分秒必	68098	133406	1	null
-90132	几何图	65548	93272	1	null
-90133	共产国	65550	102571	1	null
-90134	刘家峡	65536	93962	3	{ns=0}
-90135	养蜂场	65536	117953	3	{n=0}
-90136	九头	65537	20061	1	null
-90137	利库德	65536	113194	3	{nz=10}
-90138	利欲熏心	65536	94607	3	{i=0, l=3}
-90139	倏忽	65536	20495	3	{d=1}
-90140	乞哀告怜	65536	87114	3	{i=0}
-90141	一门心思	65536	90055	3	{l=3}
-90142	万岭不思	65536	85608	1	null
-90143	不假思	65536	103128	1	null
-90144	不够意思	65536	90388	3	{l=0}
-90145	不好意思	65536	90389	3	{a=7, ad=0, l=0}
-90146	仁人志	65537	87415	1	null
-90147	作客思	65538	111367	1	null
-90148	利雅得	65536	127580	3	{ns=0}
-90149	函告	65536	20989	3	{v=0}
-90150	别具匠心	65536	89931	3	{i=2}
-90151	一致性	65536	98804	3	{n=5}
-90152	不可靠性	65536	104548	3	{n=1}
-90153	一次性	65536	92961	3	{b=10, d=17}
-90154	不足为怪	65536	85827	3	{l=0}
-90155	万德	65536	19975	1	null
-90156	丑八怪	65536	86593	3	{n=0}
-90157	专一性	65536	89210	3	{n=0}
-90158	世俗性	65536	87535	3	{n=0}
-90159	一般性	65536	98860	3	{n=1}
-90160	两重性	65536	104536	3	{n=1}
-90161	严肃性	65536	99206	3	{n=3}
-90162	严酷性	65536	103546	3	{n=1}
-90163	严重性	65536	103632	3	{n=7}
-90164	主体性	65536	104166	3	{n=3}
-90165	争议性	65536	104247	3	{n=0}
-90166	主题性	65536	122923	3	{n=8}
-90167	业务性	65536	87039	3	{n=1}
-90168	中国式	65536	107473	3	{b=2, n=0}
-90169	习惯性	65536	91903	3	{n=0}
-90170	二义性	65536	98179	3	{n=0}
-90171	一总	65536	19968	3	{d=0}
-90172	中国红十字总	65670	88944	1	null
-90173	中核总	65536	111884	3	{j=2}
-90174	互补性	65536	103193	3	{n=7}
-90175	二重性	65536	115463	3	{n=0}
-90176	享受性	65536	87576	3	{n=3}
-90177	亲水性	65536	103184	3	{n=0}
-90178	以德报怨	65536	90791	3	{i=0}
-90179	以直报怨	65536	90793	3	{i=0}
-90180	任劳任怨	65536	86287	3	{i=1}
-90181	事业性	65536	94248	3	{n=11}
-90182	伪善性	65536	91284	3	{n=0}
-90183	传奇性	65536	107281	3	{n=1}
-90184	会议性	65536	120586	3	{n=1}
-90185	伸缩性	65536	99700	3	{n=0}
-90186	体制性	65536	106004	3	{n=1}
-90187	依依恋恋	65536	91334	3	{v=1}
-90188	依赖性	65536	109163	3	{n=2}
-90189	买壳	65536	20080	3	{v=0}
-90190	仙境	65536	20185	3	{n=1}
-90191	优越性	65536	108546	3	{n=12}
-90192	争先恐	65571	89297	1	null
-90193	令人堪	65538	86269	1	null
-90194	伯利恒	65536	88463	3	{ns=1}
-90195	三角恋	65537	106483	1	null
-90196	井场	65536	20117	3	{n=3}
-90197	侮辱性	65536	102324	3	{n=1}
-90198	乐不思	65536	92352	1	null
-90199	保密性	65536	110483	3	{n=1}
-90200	主动性	65536	105019	3	{n=6}
-90201	修身养性	65536	86798	3	{l=0}
-90202	倚赖性	65536	103287	3	{n=0}
-90203	倾向性	65536	92819	3	{n=1}
-90204	井坂	65536	20117	3	{nr=0}
-90205	偶发性	65536	92582	3	{n=1}
-90206	偶然性	65536	100107	3	{n=1}
-90207	两委	65536	20004	3	{j=0}
-90208	光脆性	65536	123781	3	{n=0}
-90209	克制性	65536	104428	3	{n=0}
-90210	倦态	65536	20518	3	{n=0}
-90211	全局性	65536	115698	3	{n=8}
-90212	丰宁	65536	20016	3	{ns=0}
-90213	仁以恤	65551	87458	1	null
-90214	共享性	65536	102575	3	{n=0}
-90215	兴妖作怪	65536	87664	3	{i=0}
-90216	一失足成千古恨	65536	87013	3	{l=1, n=0}
-90217	万念	65537	19975	1	null
-90218	全身性	65536	128605	3	{n=1}
-90219	井冈山市	65536	89222	3	{ns=0}
-90220	公共性	65536	116802	3	{n=1}
-90221	倨傲不恭	65536	86967	3	{i=1}
-90222	典型性	65536	90457	3	{n=0}
-90223	一息	65536	19968	1	null
-90224	乡土气息	65536	93221	3	{l=0}
-90225	不慌不忙	65536	85768	3	{i=0}
-90226	互信息	65536	88725	3	{n=0}
-90227	两姨	65742	20004	1	null
-90228	中心思	65537	109719	1	null
-90229	丢开	65536	20002	3	{v=0}
-90230	不念旧恶	65536	91637	3	{i=0}
-90231	仰人鼻息	65536	106300	3	{i=0}
-90232	丢弃	65536	20002	3	{v=1}
-90233	义不	65537	20041	1	null
-90234	休养生息	65536	95557	3	{i=1}
-90235	偃旗息	65539	91803	1	null
-90236	位尊	65536	20301	3	{v=2}
-90237	伟岸	65536	20255	3	{a=0}
-90238	再生之恩	65536	87931	3	{n=0}
-90239	公益性	65536	126363	3	{n=7}
-90240	丰富性	65536	90287	3	{n=1}
-90241	倦怠	65536	20518	3	{a=0, an=0}
-90242	凶神恶	65537	113025	1	null
-90243	凝固性	65536	91265	3	{n=0}
-90244	专刊	65536	19987	3	{n=0}
-90245	刁钻古怪	65536	88178	3	{i=0}
-90246	切齿痛恨	65536	95709	3	{i=0}
-90247	别出心	65536	106433	1	null
-90248	你好	65536	20320	3	{l=2}
-90249	养殖场	65536	110933	3	{n=3}
-90250	别有用心	65536	95751	3	{i=1}
-90251	别来无恙	65536	91783	3	{i=0}
-90252	别见怪	65536	120712	3	{l=0}
-90253	刻骨铭心	65536	103661	3	{i=4}
-90254	冷水性	65536	119869	3	{n=6}
-90255	儿女	65546	20799	2	{n=34}
-90256	刮目相待	65536	96042	3	{i=0}
-90257	专列	65536	19987	3	{n=0}
-90258	伤兵	65536	20260	3	{n=0}
-90259	伤其	65626	20260	1	null
-90260	九死不悔	65536	86062	3	{i=0}
-90261	分布式	65536	126287	3	{b=0}
-90262	刺激性	65536	115166	3	{n=0}
-90263	前事不忘	65536	88636	3	{i=0}
-90264	前沿性	65536	127788	3	{n=3}
-90265	军事体	65540	117991	1	null
-90266	前瞻性	65536	130600	3	{n=2}
-90267	副性征	65536	111943	3	{n=0}
-90268	力不从心	65536	88692	3	{i=10}
-90269	功夫不负有心	68560	92321	1	null
-90270	功能性	65536	119365	3	{n=2}
-90271	加利福尼亚州	65536	88727	3	{ns=3}
-90272	乐悠悠	65536	97107	3	{z=0}
-90273	冲绳岛	65536	118549	3	{ns=0}
-90274	加工厂	65536	121700	3	{n=9}
-90275	专利	65540	19987	2	{n=22}
-90276	人满为患	65536	86197	3	{i=4}
-90277	养痈成患	65536	90686	3	{i=0}
-90278	养痈遗患	65536	102533	3	{i=0}
-90279	养虎遗患	65536	102509	3	{i=0}
-90280	公正性	65536	123444	3	{n=3}
-90281	内忧外患	65536	88522	3	{i=0}
-90282	义举	65536	20041	3	{n=0}
-90283	伪军	65536	20266	3	{n=0}
-90284	丝弦	65536	19997	3	{n=0}
-90285	不容忽	65541	106058	1	null
-90286	众寡悬	65536	93299	1	null
-90287	丰富	65625	20016	2	{a=120, an=0, n=0, v=32, vn=0}
-90288	专制	65536	19987	3	{a=0, n=0}
-90289	交叉性	65536	104627	3	{n=2}
-90290	乐极生悲	65536	95528	3	{i=1}
-90291	兔死狐悲	65536	94929	3	{i=0}
-90292	功成名	65765	111448	1	null
-90293	享年	65536	20139	3	{n=9}
-90294	传染性	65536	111005	3	{b=1, n=0}
-90295	位居	65536	20301	3	{v=12}
-90296	义乌	65562	20041	2	{ns=0}
-90297	令人心悸	65536	92138	3	{i=0}
-90298	价值形	65545	87450	1	null
-90299	加盟店	65536	128094	3	{n=1}
-90300	军火库	65536	126663	3	{n=0}
-90301	务工青年	65536	107351	3	{n=1}
-90302	劣根性	65536	97399	3	{n=1}
-90303	动人心	65946	112790	1	null
-90304	动人心弦	65536	90303	3	{i=3}
-90305	准确性	65536	109959	3	{n=4}
-90306	动心忍	65692	117151	1	null
-90307	动心忍性	65536	90306	3	{i=0}
-90308	兜圈	65796	20828	1	null
-90309	一厢情	65536	86946	1	null
-90310	一相情	65537	95992	1	null
-90311	一见钟情	65536	103584	3	{i=1}
-90312	不徇私情	65536	96705	3	{i=2}
-90313	不近人情	65536	85828	3	{i=0}
-90314	一鸣惊	65542	106019	1	null
-90315	两相情	65538	97667	1	null
-90316	一往情	65536	89984	1	null
-90317	一语惊	65540	101357	1	null
-90318	人之常情	65536	89663	3	{i=0}
-90319	儿女情	65545	90255	1	null
-90320	兔子	65536	20820	3	{n=3}
-90321	军民鱼水深情	65536	93684	3	{l=1, n=0}
-90322	剂子	65536	21058	3	{n=0}
-90323	动之以情	65536	88771	3	{i=0}
-90324	动态平	65575	117213	1	null
-90325	动感情	65536	117499	3	{l=0}
-90326	动魄惊	65814	132384	1	null
-90327	丑态	65543	19985	2	{n=0}
-90328	伴娘	65536	20276	3	{n=0}
-90329	动魄惊心	65536	90326	3	{i=0}
-90330	劳动强度	65536	106693	3	{l=4}
-90331	努嘴	65536	21162	3	{v=0}
-90332	势不可	65931	98603	1	null
-90333	势在必	65597	100934	1	null
-90334	势不可当	65536	90332	3	{i=0}
-90335	勃兰登堡州	65536	88820	3	{ns=0}
-90336	农业品	65536	111586	3	{n=1}
-90337	勃然大怒	65536	88822	3	{i=0}
-90338	勉勉强	65961	90552	1	null
-90339	勉勉强强	65536	90338	3	{z=0}
-90340	勤勤恳	65650	96522	1	null
-90341	勤勤恳恳	65536	90340	3	{z=2}
-90342	勤务兵	65536	96455	3	{n=0}
-90343	临危不惧	65536	85949	3	{i=1}
-90344	伤心惨	65561	93920	1	null
-90345	凄凄惨	65539	92457	1	null
-90346	万恶	65536	19975	3	{n=0}
-90347	凄凄惨惨	65536	90345	3	{z=1}
-90348	勤政廉	65879	101221	1	null
-90349	动脉弓	65536	125669	3	{n=0}
-90350	包头市	65536	115697	3	{ns=7}
-90351	包藏祸心	65536	96640	3	{i=0}
-90352	匆匆	65816	21254	2	{d=0, z=20}
-90353	匆匆忙	65829	90352	1	null
-90354	凤凰山	65536	91240	3	{ns=5}
-90355	不堪设想	65536	101538	3	{i=1}
-90356	中心思想	65536	90228	3	{l=0}
-90357	作客思想	65536	90147	3	{l=0}
-90358	乖张	65536	20054	3	{z=0}
-90359	了无惧	65542	92211	1	null
-90360	人心惶惶	65536	91024	3	{i=2}
-90361	前思后想	65536	88653	3	{i=0}
-90362	假惺惺	65536	109619	3	{z=0}
-90363	冥思苦想	65536	99054	3	{i=0}
-90364	刁悍	65536	20993	3	{a=0}
-90365	勾股形	65536	107876	3	{n=0}
-90366	匆匆忙忙	65536	90353	3	{z=1}
-90367	不好惹	65536	105486	3	{a=0}
-90368	化学反应	65536	107025	3	{l=0, n=0}
-90369	借酒浇愁	65536	93532	3	{i=0}
-90370	借酒消愁	65536	93597	3	{i=0}
-90371	出生地	65536	131145	3	{n=1}
-90372	化州市	65536	112328	3	{ns=4}
-90373	化纤布	65536	120718	3	{n=1}
-90374	临时性	65536	96949	3	{b=0}
-90375	北卡罗来纳州	65536	98147	3	{ns=1}
-90376	他因	65536	20182	3	{n=1}
-90377	光照度	65536	119782	3	{n=0}
-90378	化验单	65536	127862	3	{n=0}
-90379	严师	65536	20005	3	{n=0}
-90380	北回归	65701	124303	1	null
-90381	北太平	66186	124891	1	null
-90382	北太平庄	65536	90381	3	{ns=0}
-90383	一意	65536	19968	1	null
-90384	一心一意	65536	85525	3	{i=1}
-90385	一满意	65536	93921	3	{j=10}
-90386	万事如意	65536	88461	3	{i=4}
-90387	三心二意	65536	85662	3	{i=0}
-90388	不够意	65539	105392	1	null
-90389	不好意	65540	105486	1	null
-90390	不如意	65633	105491	1	null
-90391	不尽人意	65536	85745	3	{l=0}
-90392	不怀好意	65536	88445	3	{i=0}
-90393	不过意	65536	119384	3	{a=0}
-90394	不随意	65536	121120	1	null
-90395	专心一意	65536	85848	3	{i=0}
-90396	一得之愚	65536	85586	3	{l=0}
-90397	为人注意	65536	93433	3	{v=1}
-90398	令人满意	65536	96008	3	{i=0, l=4}
-90399	不信任感	65536	85755	3	{n=1}
-90400	不适感	65536	119443	3	{n=0}
-90401	不可思	65536	104064	1	null
-90402	亲切感	65536	96483	3	{n=3}
-90403	亲近感	65536	112301	3	{n=2}
-90404	使命感	65536	94335	3	{n=13}
-90405	他国	65536	20182	3	{r=3}
-90406	信任感	65536	107121	3	{n=0}
-90407	信赖感	65536	123084	3	{n=2}
-90408	全心全意	65536	87552	3	{i=37}
-90409	七情	65539	19971	1	null
-90410	出其不意	65536	88119	3	{i=1}
-90411	出敌不意	65536	88141	3	{i=0}
-90412	免税店	65536	110152	3	{n=6}
-90413	北威州	65536	125106	3	{ns=1}
-90414	凤凰岭	65536	91240	3	{ns=8}
-90415	仓容	65536	20179	3	{j=0, n=0}
-90416	制图学	65536	111488	3	{n=0}
-90417	专业性	65536	89236	3	{n=2}
-90418	北安市	65536	125498	3	{ns=0}
-90419	分离式	65536	133383	3	{b=1}
-90420	冥府	65536	20901	3	{n=0}
-90421	北平市	65536	126244	3	{ns=0}
-90422	剑侠	65536	21073	3	{n=0}
-90423	不管怎	65544	114226	1	null
-90424	剿匪	65536	21119	3	{v=0, vn=0}
-90425	北海市	65536	130088	3	{ns=0}
-90426	剩余劳	67516	90872	1	null
-90427	北温带	65536	130266	3	{n=0}
-90428	北爱党	65536	131298	3	{n=0}
-90429	出乎意	65547	121208	1	null
-90430	仙女	65536	20185	3	{n=5}
-90431	一厢情愿	65536	90309	3	{i=1}
-90432	一相情愿	65536	90310	3	{i=0}
-90433	两相情愿	65536	90315	3	{i=0}
-90434	了却心愿	65536	90066	3	{l=0}
-90435	了此心愿	65536	90630	3	{l=0}
-90436	事与愿	65539	94236	1	null
-90437	北票市	65536	133145	3	{ns=2}
-90438	北里奥格兰德	66411	89405	1	null
-90439	优越感	65536	108546	3	{n=1}
-90440	严父慈	65536	95545	1	null
-90441	北里奥格兰德州	65536	90438	3	{ns=0}
-90442	农工委	65536	115629	3	{j=0}
-90443	勘定	65536	21208	3	{v=0}
-90444	丑恶	65536	19985	3	{a=9, an=1}
-90445	关门大	66137	124110	1	null
-90446	一着不慎	65537	85560	2	{i=0}
-90447	匪夷所思	65536	90822	3	{i=0}
-90448	区政府	65536	110791	3	{n=6}
-90449	凤仙	65544	20964	1	null
-90450	匿影藏形	65536	99792	3	{i=0}
-90451	十万火急	65536	94331	3	{i=0}
-90452	刘一	65536	21016	3	{j=5}
-90453	令人羡慕	65536	100296	3	{l=3}
-90454	十堰市	65536	115933	3	{ns=0}
-90455	十字架形	65536	95144	3	{n=1}
-90456	十指连心	65536	102389	3	{i=0}
-90457	典型	65607	20856	2	{a=39, ad=0, an=0, n=131}
-90458	丧心	65542	20007	1	null
-90459	光荣感	65536	124386	3	{n=0}
-90460	十进制	65536	130184	3	{n=0}
-90461	千了百当	65536	95897	3	{i=0}
-90462	千分号	65536	115504	3	{n=0}
-90463	业态	65536	19994	3	{n=5}
-90464	十五大	65536	113473	3	{j=388}
-90465	乘幂	65536	20056	3	{n=0}
-90466	令弟	65536	20196	3	{n=0}
-90467	亏待	65536	20111	3	{v=1}
-90468	助产士	65536	104949	3	{n=1}
-90469	侮慢	65536	20398	3	{v=0}
-90470	产业性	65536	93336	3	{n=2}
-90471	习字	65563	20064	2	{v=1}
-90472	剃头	67637	21059	2	{vn=0}
-90473	千奇百怪	65536	95902	3	{i=1}
-90474	千古不	68040	115982	1	null
-90475	全国妇	65564	114351	1	null
-90476	千姿百态	65536	95903	3	{i=3}
-90477	务使	65536	21153	3	{v=0}
-90478	丧志	65536	20007	3	{v=0}
-90479	信号弹	65536	108397	3	{n=1}
-90480	倦意	65536	20518	3	{n=0}
-90481	公证处	65536	131730	3	{n=3}
-90482	兰宝	65536	20848	3	{nz=1}
-90483	佩带	65536	20329	3	{v=1}
-90484	十一届	65536	113325	3	{j=0}
-90485	亏得	65536	20111	3	{v=0}
-90486	冷冻室	65536	113092	3	{n=0}
-90487	千篇一律	65536	89529	3	{i=0}
-90488	千瓦小	65716	124432	1	null
-90489	半公开	65536	121474	3	{v=0, vn=0}
-90490	半圆形	65536	122908	3	{n=1}
-90491	关系式	65536	117729	3	{n=0}
-90492	半壁河山	65536	93391	3	{i=0, n=0}
-90493	半夜三	65538	123442	1	null
-90494	丰岛	65536	20016	3	{nr=0}
-90495	半导体	65536	124178	3	{n=3}
-90496	个人性	65536	86081	3	{n=1}
-90497	半封建	65536	124183	3	{b=2}
-90498	半工半	65628	124667	1	null
-90499	仿字	65536	20223	3	{n=1}
-90500	半惊半	68585	125408	1	null
-90501	半惊半喜	65536	90500	3	{l=0}
-90502	半成品	65536	125734	3	{n=2}
-90503	升降台	65536	126519	3	{n=0}
-90504	半截子	65536	125760	3	{n=3}
-90505	半推半	66905	126142	1	null
-90506	半推半就	65536	90505	3	{i=0}
-90507	千里之	65601	131830	1	null
-90508	半斤八	70507	126650	1	null
-90509	勃兰	65565	21187	1	null
-90510	傲慢	65536	20658	3	{a=10, an=2}
-90511	半斤八两	65536	90508	3	{i=0}
-90512	勘察	65674	21208	2	{v=1, vn=2}
-90513	勃兴	65536	21187	3	{nr=0, v=1, vn=1}
-90514	半死不	65594	128145	1	null
-90515	例外	65536	20363	3	{n=1, v=8, vn=0}
-90516	半殖民地	65536	93229	3	{b=0, n=2}
-90517	半月刊	65536	127006	3	{n=2}
-90518	办公厅	65536	100072	3	{n=37}
-90519	半流体	65536	128599	3	{n=0}
-90520	光化学	65536	112021	3	{n=0}
-90521	半生不	65538	130613	1	null
-90522	于心	66130	20110	1	null
-90523	半瓶子	65641	130572	1	null
-90524	仙姑	65536	20185	3	{n=0}
-90525	半真半	69975	131125	1	null
-90526	半真半假	65536	90525	3	{i=0}
-90527	佣工	65536	20323	3	{n=0}
-90528	勉励	65536	21193	3	{v=15, vn=1}
-90529	亏心	66010	20111	2	{a=0}
-90530	仆役	65536	20166	3	{n=0}
-90531	半自动	65536	133888	3	{b=0, d=1}
-90532	别有情	65539	111824	1	null
-90533	具备	65536	20855	3	{v=35, vn=0}
-90534	半自耕农	65536	102160	3	{l=0}
-90535	人影憧	65538	113528	1	null
-90536	两面性	65536	105965	3	{n=0}
-90537	人影憧憧	65536	90535	3	{l=0}
-90538	剩下	65536	21097	3	{v=15}
-90539	世界性	65536	97124	3	{n=7}
-90540	关键性	65536	123924	3	{n=3}
-90541	半路出	67065	136965	1	null
-90542	个性	65540	20010	2	{n=45}
-90543	半路出家	65536	90541	3	{i=0}
-90544	出口不	67163	122637	1	null
-90545	半辈子	65536	137374	3	{m=0}
-90546	半身不	65537	137153	1	null
-90547	伪劣	65536	20266	3	{b=3}
-90548	专区	65536	19987	3	{n=0}
-90549	住友	65536	20303	3	{nz=0}
-90550	十二分	65536	113465	3	{d=0}
-90551	仿宋	65981	20223	2	{b=0}
-90552	勉勉	65960	21193	1	null
-90553	倚官	66644	20506	1	null
-90554	亮底	65536	20142	1	null
-90555	分配律	65536	139417	3	{n=0}
-90556	半边天	65536	137423	3	{n=0}
-90557	争嘴	65536	20105	3	{v=0}
-90558	半途而废	65536	98449	3	{i=2}
-90559	办事处	65536	99335	3	{n=35}
-90560	半醒半	65536	137896	1	null
-90561	值得	67001	20540	2	{v=80}
-90562	不懂装懂	65536	100549	3	{i=1}
-90563	丹心	65536	20025	3	{n=0}
-90564	似懂非懂	65536	104288	3	{l=1}
-90565	华东师	67746	116069	1	null
-90566	包身工	65536	129384	3	{n=0}
-90567	亡命徒	65536	87194	3	{n=0}
-90568	前进不懈	65536	88664	3	{l=1}
-90569	华东师大	65536	90565	3	{j=0, n=0}
-90570	华容县	65536	119554	3	{ns=0}
-90571	亮度	65536	20142	3	{n=1}
-90572	华盛顿州	65536	104597	3	{ns=0}
-90573	住口	65536	20303	3	{v=0}
-90574	世家	65536	19990	3	{n=2}
-90575	儿媳	65570	20799	2	{n=4}
-90576	专卖	65542	19987	2	{v=4, vn=5}
-90577	华罗庚	65536	128672	3	{nr=1}
-90578	兑奖	65536	20817	3	{v=0}
-90579	华而不	67401	128853	1	null
-90580	华蓥山	65536	130094	3	{ns=0}
-90581	华表奖	65536	130993	3	{nz=1}
-90582	华达呢	65536	132871	3	{n=0}
-90583	凸多	65540	20984	1	null
-90584	协办员	65536	97244	3	{n=2}
-90585	勋努	65544	21195	1	null
-90586	协理员	65536	105796	3	{n=0}
-90587	井壁	65536	20117	3	{n=0}
-90588	伤势	65536	20260	3	{n=1}
-90589	协约国	65536	108516	3	{n=0}
-90590	华尔兹	65536	119645	3	{nz=0}
-90591	协调员	65536	111937	3	{n=8}
-90592	医学会	65536	108158	3	{n=10}
-90593	协进会	65536	112921	3	{j=0}
-90594	勋劳	65536	21195	3	{n=0}
-90595	华而不媚	65536	90579	3	{i=0}
-90596	僵尸	65536	20725	3	{n=0}
-90597	卑躬屈	65548	108381	1	null
-90598	卓奥友	66809	92643	1	null
-90599	仓山	65621	20179	1	null
-90600	卒业	65536	21330	3	{v=0}
-90601	卓奥友峰	65536	90598	3	{ns=0}
-90602	了得	65536	20102	3	{a=3}
-90603	卓尔不	65543	93330	1	null
-90604	僵局	65536	20725	3	{n=16}
-90605	卓有成就	65536	90860	3	{i=2}
-90606	单一化	65536	123656	3	{v=1}
-90607	单位名	65536	123989	3	{n=1}
-90608	单倍体	65536	124181	3	{n=0}
-90609	代表性	65536	110197	3	{n=14}
-90610	单刀直入	65536	96069	3	{i=1}
-90611	单刀赴会	65536	101829	3	{i=2}
-90612	单口相声	65536	96051	3	{l=0}
-90613	单式编制	65536	98177	3	{l=0}
-90614	单引号	65536	128029	3	{n=0}
-90615	冻伤	65536	20923	3	{n=0, v=5, vn=2}
-90616	动物学	65536	121925	3	{n=0}
-90617	军政府	65536	123803	3	{n=0}
-90618	单打一	65536	128859	3	{v=0}
-90619	不经意	65536	115040	3	{a=0, ad=0}
-90620	单人床	65536	123842	3	{n=0}
-90621	单斜层	65536	129700	3	{n=0}
-90622	单晶河乡	65536	98518	3	{ns=13}
-90623	例如	65536	20363	3	{c=0, v=51}
-90624	先进性	65536	123567	3	{n=3}
-90625	冤仇	65536	20900	3	{n=0}
-90626	单枪匹	65564	130226	1	null
-90627	单比例	65536	131292	3	{n=0}
-90628	匀净	65536	21248	3	{a=0}
-90629	单淘汰制	65536	93297	3	{n=1}
-90630	了此心	65540	93623	1	null
-90631	单相思	65536	134144	3	{n=0}
-90632	下诺夫戈	65536	88383	1	null
-90633	佛拉明戈	65536	91678	3	{n=0}
-90634	乡宁	65645	20065	1	null
-90635	动干戈	65536	116814	3	{l=0}
-90636	单立人	65536	135123	3	{n=0}
-90637	化验员	65536	127862	3	{n=0}
-90638	内外夹	65537	120244	1	null
-90639	五禽戏	65536	115569	3	{n=0}
-90640	一成	65548	19968	1	null
-90641	一事无成	65536	91617	3	{i=0}
-90642	一失足成	65538	101811	1	null
-90643	一气呵成	65536	87170	3	{i=0}
-90644	一举成	65536	85566	1	null
-90645	万福成	65536	96771	3	{nz=0}
-90646	三五成	65536	91317	1	null
-90647	下笔成	65536	106895	1	null
-90648	不宣而战	65536	98331	3	{l=0}
-90649	世界大战	65536	88747	3	{l=6}
-90650	三大战	65536	94024	1	null
-90651	中腹之战	65536	85942	3	{n=1}
-90652	丛林战	65536	92399	3	{n=0}
-90653	串亲戚	65536	85965	3	{l=0}
-90654	习非成	65545	105838	1	null
-90655	争夺战	65536	91331	3	{n=2}
-90656	事业有成	65536	91943	3	{i=0, l=4}
-90657	二次大战	65536	88433	3	{nz=2}
-90658	以战养战	65536	86480	3	{l=1}
-90659	仁学	65536	20161	3	{n=3}
-90660	以此为戒	65536	86261	3	{l=0}
-90661	伏击战	65536	91421	3	{n=2}
-90662	众志成	65542	94313	1	null
-90663	传统戏	65536	116905	3	{n=3}
-90664	你一言我	66671	100872	1	null
-90665	你中有我	65536	92090	3	{i=0}
-90666	习尚	65536	20064	3	{n=0}
-90667	你争我	65622	87444	1	null
-90668	两审	65536	20004	3	{b=0}
-90669	你来我	65581	93808	1	null
-90670	你死我	65567	94854	1	null
-90671	你追我	65536	104200	1	null
-90672	依然故我	65536	91486	3	{i=0}
-90673	仪式	65536	20202	3	{n=138}
-90674	保级战	65536	119412	3	{n=1}
-90675	乱七	65583	20081	1	null
-90676	不共戴	65562	103426	1	null
-90677	傀儡戏	65536	87367	3	{n=0}
-90678	光谱学	65536	126640	3	{n=0}
-90679	一家一户	65536	85512	3	{l=2}
-90680	万元户	65536	86455	3	{n=0}
-90681	上市户	65536	96712	3	{n=1}
-90682	上访户	65536	108421	3	{n=1}
-90683	个体营运户	65536	102352	3	{n=1}
-90684	五保户	65536	104849	3	{n=4}
-90685	事务性	65536	95407	3	{n=7}
-90686	养痈成	65538	113543	1	null
-90687	东辛房	65536	110781	3	{ns=0}
-90688	上交所	65536	92778	3	{j=6}
-90689	一无所	65537	91616	1	null
-90690	上证所	65536	108423	3	{j=0}
-90691	不出所	65537	103563	1	null
-90692	个体户	65536	86234	3	{n=6}
-90693	主机房	65536	110285	3	{n=0}
-90694	乱世	65536	20081	3	{n=0}
-90695	二修所	65536	98600	3	{j=0}
-90696	专横跋扈	65536	101835	3	{i=0}
-90697	交警车管所	65536	97190	3	{j=0}
-90698	不为所	65540	102603	1	null
-90699	一手	65563	19968	2	{d=18, n=10}
-90700	一把手	65536	90762	3	{n=26}
-90701	一显身手	65536	102060	3	{l=2}
-90702	一表人才	65536	85693	3	{i=0}
-90703	一试身手	65536	102061	3	{l=1}
-90704	七步之才	65536	85598	3	{i=0}
-90705	上下其手	65536	86557	3	{i=0}
-90706	下毒手	65536	102989	3	{v=0}
-90707	一网打	65536	98129	1	null
-90708	不择手	65536	107898	1	null
-90709	主攻手	65536	109774	3	{n=1}
-90710	乔装打	65536	100628	1	null
-90711	乞力马扎	65537	105071	1	null
-90712	世局	65536	19990	3	{n=0}
-90713	乌兰巴托	65564	89595	2	{ns=2}
-90714	二传手	65536	98394	3	{n=0}
-90715	丁戌	65536	19969	3	{m=0}
-90716	二把手	65536	103364	3	{n=1}
-90717	从心所	65538	106638	1	null
-90718	众望所	65544	96173	1	null
-90719	俗套	65536	20439	3	{n=0}
-90720	中药房	65536	118851	3	{n=0}
-90721	保暖房	65536	113251	3	{n=9}
-90722	催泪弹	65536	103120	3	{n=0}
-90723	丝丝入扣	65536	86375	3	{i=0}
-90724	不折不扣	65536	85772	3	{i=4}
-90725	先下手	67371	106719	1	null
-90726	休养所	65536	91768	3	{n=0}
-90727	公共场所	65536	87935	3	{n=5}
-90728	仗义执	65543	86233	1	null
-90729	健身房	65536	109502	3	{n=3}
-90730	养鸭户	65536	123884	3	{n=1}
-90731	一扫	65538	19968	1	null
-90732	儿子	65536	20799	3	{n=77}
-90733	七歪八扭	65536	86391	3	{l=0}
-90734	乔装打扮	65536	90710	3	{i=0}
-90735	东拉西扯	65536	100740	3	{i=0}
-90736	乘风扬	65574	105453	1	null
-90737	专号	65536	19987	3	{n=0}
-90738	专司	65536	19987	3	{v=1}
-90739	乞怜	65536	20062	3	{v=0}
-90740	乙子	65536	20057	3	{m=0}
-90741	儿孙	65539	20799	2	{n=2}
-90742	党政工	65536	111452	3	{j=2}
-90743	优惠待	65538	97112	1	null
-90744	其貌不扬	65536	87702	3	{i=0}
-90745	冒尖户	65536	100936	3	{n=0}
-90746	养鸡户	65536	123872	3	{n=1}
-90747	决一死战	65536	93063	3	{i=0}
-90748	军械库	65536	124684	3	{n=0}
-90749	刀斧手	65536	111411	3	{n=0}
-90750	分道扬	65537	139167	1	null
-90751	出水才	65563	128862	1	null
-90752	一技	65547	19968	1	null
-90753	一脉相承	65536	95993	3	{i=1}
-90754	养鸡房	65536	123872	3	{n=0}
-90755	刘伯	65542	21016	1	null
-90756	凿子	65536	20991	3	{n=0}
-90757	刘伯承	65536	90755	3	{nr=30}
-90758	初见成	65614	129866	1	null
-90759	专名	65541	19987	2	{n=0}
-90760	凿孔	65536	20991	3	{v=0}
-90761	别别扭	65568	106482	1	null
-90762	一把	65537	19968	1	null
-90763	专向	65536	19987	3	{n=0}
-90764	分兵把	66711	123073	1	null
-90765	别别扭扭	65536	90761	3	{z=0}
-90766	别里别扭	65536	88594	3	{z=0}
-90767	九宫	65548	20061	2	{n=0}
-90768	体操房	65536	110763	3	{n=0}
-90769	人尽其才	65536	86459	3	{i=0}
-90770	刽子手	65536	89352	3	{n=0}
-90771	一抓	65538	19968	1	null
-90772	一把抓	65536	90762	3	{v=0}
-90773	举手投	65542	92746	1	null
-90774	五体投	65554	104711	1	null
-90775	以卵投	65538	104498	1	null
-90776	一波三折	65536	85553	3	{i=2}
-90777	倦鸟投	65591	106112	1	null
-90778	两小	65567	20004	1	null
-90779	两手抓	65536	92374	3	{l=14}
-90780	信任投	65538	107121	1	null
-90781	兰摧玉折	65536	95128	3	{i=0}
-90782	几经周折	65536	88099	3	{l=2}
-90783	分庭抗	65548	126457	1	null
-90784	伸展	65536	20280	3	{v=1, vn=0}
-90785	乱乱	65589	20081	1	null
-90786	一抢	65539	19968	1	null
-90787	仪征	65604	20202	2	{ns=3, nz=0}
-90788	刑法学	65844	102179	2	{n=0}
-90789	人民日报	65540	93183	2	{nz=85}
-90790	今晚报	65536	97475	3	{n=4}
-90791	以德报	65562	107636	1	null
-90792	以怨报	65541	107749	1	null
-90793	以直报	65563	113585	1	null
-90794	传真电报	65536	95654	3	{l=0}
-90795	万户	65552	19975	1	null
-90796	低头不见抬	65606	100825	1	null
-90797	制造厂	65536	126114	3	{n=4}
-90798	削球手	65536	98224	3	{n=1}
-90799	七手	65545	19971	1	null
-90800	不识抬	65796	118359	1	null
-90801	佃户	65536	20291	3	{n=0}
-90802	住宅房	65536	92527	3	{n=0}
-90803	且慢	65536	19988	3	{l=3}
-90804	三合房	65536	92713	3	{n=0}
-90805	冥思	65544	20901	1	null
-90806	前哨战	65536	121685	3	{n=0}
-90807	功败垂成	65536	88719	3	{i=0}
-90808	俯射	65536	20463	3	{v=0}
-90809	加急电报	65536	95615	3	{n=0}
-90810	一笔抹	65536	97044	1	null
-90811	动迁户	65536	129437	3	{n=0}
-90812	仁寿	65701	20161	2	{ns=0}
-90813	兔崽	65795	20820	1	null
-90814	劳保所	65536	108441	3	{j=0}
-90815	助产婆	65536	104949	3	{n=0}
-90816	劳动保险所	65536	104057	3	{n=1}
-90817	你家	65536	20320	3	{r=4}
-90818	劳教所	65536	113941	3	{n=0}
-90819	包产到户	65536	88848	3	{l=0}
-90820	人口报	65536	110570	3	{n=1}
-90821	冲积扇	65536	117265	3	{n=0}
-90822	匪夷所	65842	93358	1	null
-90823	区公所	65536	105716	3	{n=0}
-90824	信手拈	65630	112065	1	null
-90825	东不拉	65536	93999	3	{n=0}
-90826	东斯拉	65536	100049	1	null
-90827	乃堆拉	65536	88529	3	{ns=0, nz=1}
-90828	九寨	65537	20061	1	null
-90829	一拍	65536	19968	1	null
-90830	亚非拉	65536	113471	3	{j=1}
-90831	俄克拉	66369	89409	1	null
-90832	两居	65541	20004	1	null
-90833	七扭	65546	19971	1	null
-90834	专员	65566	19987	2	{n=7}
-90835	仗恃	65536	20183	3	{v=0}
-90836	一毛不拔	65536	85551	3	{i=0}
-90837	共同富	65537	103952	1	null
-90838	一拖	65536	19968	3	{j=1}
-90839	党群干	65540	118209	1	null
-90840	不能自拔	65536	99097	3	{i=3}
-90841	冬不拉	65536	105337	3	{n=0}
-90842	出类拔	65536	133029	1	null
-90843	一招	65564	19968	1	null
-90844	下礼拜	65536	106423	3	{t=0}
-90845	不打自招	65536	98795	3	{i=0}
-90846	个人崇拜	65536	89696	3	{l=1}
-90847	做礼拜	65536	110843	3	{v=0}
-90848	勃勃	65638	21187	2	{z=2}
-90849	勿庸	65537	21247	1	null
-90850	千夫所	65547	117333	1	null
-90851	养猪户	65536	112873	3	{n=3}
-90852	千家万户	65536	89513	3	{i=15}
-90853	一拥	65540	19968	1	null
-90854	千磨百折	65536	95907	3	{l=0}
-90855	华而不实	65536	90579	3	{i=1}
-90856	单元房	65536	124491	3	{n=1}
-90857	乙寅	65536	20057	3	{m=0}
-90858	别无选择	65536	105351	3	{l=6}
-90859	协议书	65536	111852	3	{n=1}
-90860	卓有成	67004	96135	1	null
-90861	单干户	65536	127866	3	{n=0}
-90862	单精度	65536	135622	3	{n=0}
-90863	单色光	65536	137082	3	{n=0}
-90864	单门独户	65536	94962	3	{l=0}
-90865	众星拱	65553	95921	1	null
-90866	单项式	65536	142721	3	{n=0}
-90867	俄国	65536	20420	3	{ns=16}
-90868	六合拳	65536	96600	3	{n=0}
-90869	七星拳	65536	91779	3	{n=0}
-90870	加速度	65536	134558	3	{n=0}
-90871	卖关子	65536	110380	3	{l=0}
-90872	剩余	69255	21097	2	{v=4, vn=6}
-90873	卖出价	65536	110515	3	{n=3}
-90874	八卦拳	65536	106586	3	{n=0}
-90875	单耳刀	65536	136507	3	{n=0}
-90876	买客	65536	20080	3	{n=0}
-90877	卖淫妇	65536	117668	3	{n=0}
-90878	不可收拾	65536	91706	3	{i=0}
-90879	众人拾	65537	89932	1	null
-90880	伤口	65536	20260	3	{n=6}
-90881	举止矜持	65536	96259	3	{l=0}
-90882	一丝不挂	65536	85519	3	{i=0}
-90883	何足挂	65538	110480	1	null
-90884	修理工	65536	108541	3	{n=1}
-90885	南丫岛	65536	123103	3	{ns=0}
-90886	南中国	65558	123105	1	null
-90887	三拇指	65536	96488	3	{n=0}
-90888	中拇指	65536	110491	3	{n=0}
-90889	了如指	65536	89045	1	null
-90890	了若指	65537	99640	1	null
-90891	二拇指	65536	103425	3	{n=0}
-90892	令人发指	65536	89080	3	{i=1}
-90893	乒乓球拍	65536	95237	3	{n=0}
-90894	伤其十指	66337	86939	1	null
-90895	伤其十指不如断其一指	65536	86319	3	{l=1, n=0}
-90896	买家	65536	20080	3	{n=4}
-90897	兰花指	65536	100486	3	{n=0}
-90898	千夫所指	65536	90850	3	{i=0}
-90899	勤俭持	65906	95763	1	null
-90900	伤号	65536	20260	3	{n=0}
-90901	僧尼	65536	20711	3	{n=0}
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-90903	休业	65536	20241	3	{v=0}
-90904	全球性	65536	121781	3	{n=8}
-90905	卖身契	65536	126052	3	{n=0}
-90906	不可或	65536	104064	1	null
-90907	仙子	65536	20185	3	{n=0}
-90908	农业国	65536	111586	3	{n=1}
-90909	南京大屠	65922	93738	1	null
-90910	南充市	65536	123897	3	{ns=0}
-90911	南京东	65572	123232	1	null
-90912	不屈不挠	65536	85747	3	{i=0}
-90913	不折不挠	65536	85772	3	{i=0}
-90914	九尾	65536	20061	1	null
-90915	仪态	66301	20202	2	{n=1}
-90916	加筋土挡	66076	88755	1	null
-90917	一挥	65541	19968	1	null
-90918	临场发挥	65536	87003	3	{l=0}
-90919	借题发挥	65536	87295	3	{i=1}
-90920	保险局	65536	125494	3	{n=2}
-90921	南丰县	65536	123108	3	{ns=1}
-90922	南关区	65536	123943	3	{ns=0}
-90923	伪君	65657	20266	1	null
-90924	他处	65536	20182	3	{s=0}
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-90926	南加州	65536	124244	3	{ns=2}
-90927	一蹶不振	65536	85571	3	{i=1}
-90928	为之一振	65536	85958	3	{l=2}
-90929	南化塘	65572	124362	1	null
-90930	南北战争	65536	94525	3	{n=0}
-90931	南召县	65536	124576	3	{ns=2}
-90932	南回归	65731	125330	1	null
-90933	务工地	65536	94163	3	{n=0}
-90934	南北向	65536	124363	3	{j=0}
-90935	南宁市	65536	126517	3	{ns=8}
-90936	仇怨	65536	20167	3	{n=0}
-90937	南山区	65536	126757	3	{ns=7}
-90938	储蓄所	65536	102957	3	{n=1}
-90939	南岗区	65536	126795	3	{ns=2}
-90940	南川市	65536	127121	3	{ns=0}
-90941	南市区	65536	127158	3	{ns=1}
-90942	侍奉	65536	20365	3	{v=1}
-90943	南开区	65536	127412	3	{ns=0}
-90944	人心悦	65536	113610	1	null
-90945	专业户	65536	89236	3	{n=10}
-90946	南征北	65840	127541	1	null
-90947	两岸	65536	20004	3	{n=352, s=0}
-90948	匀匀	65536	21248	3	{z=0}
-90949	临了	65536	20020	3	{d=1}
-90950	南平市	65536	127271	3	{ns=0}
-90951	凡世	65536	20961	3	{n=0}
-90952	南征北战	65536	90946	3	{i=3}
-90953	刮刀	65536	21038	3	{n=0}
-90954	南斯拉	68128	129123	1	null
-90955	南斯拉夫	65606	90954	2	{ns=17}
-90956	价差	65536	20215	3	{n=1}
-90957	南昌市	65536	129216	3	{ns=6}
-90958	北极光	65536	128562	3	{n=0}
-90959	凭空捏	65539	105333	1	null
-90960	保健所	65536	107570	3	{n=0}
-90961	南昌起义	65536	103106	3	{l=0, nz=2}
-90962	南来北	66516	129561	1	null
-90963	刺绣工	65536	119041	3	{n=0}
-90964	南来北往	65536	90962	3	{l=1}
-90965	南柯一	65569	129699	1	null
-90966	南水北	65627	130792	1	null
-90967	丰年	65536	20016	3	{n=2}
-90968	为国捐	65536	88786	1	null
-90969	免疫性	65536	109029	3	{n=0}
-90970	南涧县	65536	131163	3	{ns=0}
-90971	南漳县	65536	131559	3	{ns=1}
-90972	不知所	65689	113270	1	null
-90973	南澳县	65536	131687	3	{ns=0}
-90974	农科所	65536	122777	3	{j=2}
-90975	南瓜子	65536	133008	3	{n=0}
-90976	七拼	65547	19971	1	null
-90977	南禅寺	65536	134201	3	{ns=0}
-90978	保修包换	65536	86954	3	{l=1}
-90979	偷天换	65645	104755	1	null
-90980	偷梁换	65541	108683	1	null
-90981	升级换	69354	120465	1	null
-90982	临产	65536	20020	3	{v=3}
-90983	众星捧	65554	95921	1	null
-90984	侍女	65536	20365	3	{n=0}
-90985	南科西嘉	65536	100755	3	{ns=0}
-90986	南箕北	65827	134729	1	null
-90987	册子	65536	20876	3	{n=1}
-90988	南腔北	65628	136200	1	null
-90989	仙客	65588	20185	1	null
-90990	南辕北	65539	139849	1	null
-90991	南达科他	66962	96749	1	null
-90992	南达科他州	65536	90991	3	{ns=0}
-90993	久慕	65536	20037	1	null
-90994	南邦府	65536	140122	3	{ns=0}
-90995	南锣鼓巷	65536	106263	3	{ns=0}
-90996	南陵县	65536	141609	3	{ns=0}
-90997	伤员	65536	20260	3	{n=28}
-90998	单晶体	65536	129918	3	{n=0}
-90999	南隔堤	65536	141640	3	{n=0}
-91000	仇恨	65536	20167	3	{n=1, v=0, vn=0}
-91001	人心惟	65565	113610	1	null
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-91003	南非共	69361	141842	1	null
-91004	协议价	65536	111852	3	{n=0}
-91005	南非共和	68737	91003	1	null
-91006	南非共和国	65536	91005	3	{ns=9}
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-91008	博卡区	65536	108509	3	{ns=0}
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-91010	丙戌	65536	19993	3	{m=0}
-91011	南阳市	65536	141543	3	{ns=9}
-91012	博古通今	65536	102430	3	{i=0}
-91013	博士后	65536	109927	3	{n=1}
-91014	博大胸怀	65536	98566	3	{l=3}
-91015	博学之士	65536	91023	3	{n=0}
-91016	传经授	65556	116889	1	null
-91017	副教授	65536	113273	3	{n=11}
-91018	务农	65536	21153	3	{v=7}
-91019	冥想	65536	20901	3	{vn=0}
-91020	了如指掌	65536	90889	3	{i=3}
-91021	了若指掌	65536	90890	3	{i=0}
-91022	博学多才	65536	93790	3	{i=0}
-91023	博学之	68252	110562	1	null
-91024	人心惶	65538	113610	1	null
-91025	传道授	66322	121373	1	null
-91026	中国女排	65536	88732	3	{n=0}
-91027	八卦掌	65536	106586	3	{n=0}
-91028	仙人掌	65536	87685	3	{n=0}
-91029	业户	65536	19994	3	{n=1}
-91030	博尔伦	65685	110736	1	null
-91031	博山区	65536	110829	3	{ns=0}
-91032	临渴掘	65838	99059	1	null
-91033	个人所	65543	86081	1	null
-91034	倍感	65536	20493	3	{v=2}
-91035	不可抗	65554	104064	1	null
-91036	博洛尼	70915	115095	1	null
-91037	博洛尼亚	65536	91036	3	{ns=0}
-91038	农科技	65753	122777	1	null
-91039	博湖县	65536	115410	3	{ns=0}
-91040	博爱县	65536	116397	3	{ns=1}
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-91042	博茨瓦纳共和	68774	91041	1	null
-91043	博茨瓦纳共和国	65536	91042	3	{ns=0}
-91044	博览会	65536	122436	3	{n=15}
-91045	三花接	65537	104658	1	null
-91046	交头接	65537	106014	1	null
-91047	传宗接	66119	107873	1	null
-91048	以此类推	65536	98102	3	{l=0}
-91049	余可类推	65536	97406	3	{l=0}
-91050	仓皇失措	65536	88429	3	{i=0}
-91051	依此类推	65536	97408	3	{l=1}
-91052	博览群书	65536	103470	3	{l=0}
-91053	博采众	65560	124483	1	null
-91054	博野县	65536	124490	3	{ns=0}
-91055	博闻强	66529	125559	1	null
-91056	他妈	65542	20182	1	null
-91057	分斤掰	68194	128240	1	null
-91058	卜卦	65536	21340	3	{v=0}
-91059	兰州	65749	20848	2	{ns=26}
-91060	占优势	65536	100117	3	{v=4}
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-91063	一掷	65539	19968	1	null
-91064	博闻强志	65536	91055	3	{i=0}
-91065	占便宜	65536	100284	3	{v=0}
-91066	南极光	65536	129589	3	{n=0}
-91067	卡亚尼	65536	111538	3	{ns=0}
-91068	凡事	65544	20961	2	{n=4}
-91069	公安局	65549	119386	2	{n=57}
-91070	卡内基	65536	112285	3	{nz=0}
-91071	卡加延	66570	112568	1	null
-91072	丢手	65536	20002	3	{v=0}
-91073	卡加延德	68189	91071	1	null
-91074	卡加延德奥	65585	91073	1	null
-91075	卡加延德奥罗市	65536	98184	3	{ns=0}
-91076	俄城	65536	20420	3	{j=0}
-91077	卡塔尔国	65536	91078	3	{ns=0}
-91078	卡塔尔	68808	114028	2	{ns=0}
-91079	前呼后拥	65536	88651	3	{i=1}
-91080	冻僵	65536	20923	3	{v=0}
-91081	勤务员	65536	96455	3	{n=3}
-91082	卡尔加	65600	114988	1	null
-91083	卡拉奇	65536	116705	3	{ns=0}
-91084	卡特尔	65536	120721	3	{n=0}
-91085	例子	65536	20363	3	{n=4}
-91086	卡瓦莱塞	65587	99252	1	null
-91087	卡纳维拉	67523	102783	1	null
-91088	低音提	65539	124379	1	null
-91089	值得一提	65551	86969	2	{l=9}
-91090	不值一提	65536	85712	3	{l=2}
-91091	两肋插	65537	100118	1	null
-91092	兹罗提	65536	98137	3	{n=0}
-91093	偶一	67336	20598	1	null
-91094	卡纳克	65536	123851	3	{nz=0}
-91095	卡纳维拉尔	65579	91087	1	null
-91096	卡脖子	65536	124462	3	{v=0, vn=1}
-91097	卡萨布兰	69753	91138	1	null
-91098	卡萨布兰卡	65536	91097	3	{ns=0, nz=0}
-91099	卡西尼	65536	126615	3	{nz=2}
-91100	卡迪拉	70291	128258	1	null
-91101	凿岩	65787	20991	1	null
-91102	卡迪拉克	65536	91100	3	{nz=1}
-91103	出口值	65536	122637	3	{n=2}
-91104	卢旺达共	69462	102347	1	null
-91105	卡通城	65536	128306	3	{n=2}
-91106	卢旺达共和	68838	91104	1	null
-91107	卢旺达共和国	65536	91106	3	{ns=0}
-91108	卢森堡	68286	98653	2	{ns=14}
-91109	卢森堡大	70266	91108	1	null
-91110	卢森堡大公	68842	91109	1	null
-91111	卢森堡大公国	65536	91110	3	{ns=0}
-91112	卢浮宫	65536	99805	3	{n=1, ns=0}
-91113	卢萨卡	65536	105623	3	{ns=3}
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-91115	凡人	65536	20961	3	{n=1}
-91116	严惩	65923	20005	2	{v=3, vn=2}
-91117	卧薪尝	65546	110223	1	null
-91118	勃发	65640	21187	2	{a=0, v=1}
-91119	卫国先	65536	97160	1	null
-91120	卫国干城	65536	94489	3	{i=0}
-91121	卫戍区	65536	99992	3	{n=0}
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-91123	卫生设备	65536	122068	3	{l=0}
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-91129	令人寒	65561	86269	1	null
-91130	医务所	65536	105913	3	{n=0}
-91131	卫道士	65536	111838	3	{n=0}
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-91137	南海子	65536	131115	3	{ns=0}
-91138	卡萨布	70249	125248	1	null
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-91141	印度尼西亚共和	68873	91148	1	null
-91142	印度尼西亚共和国	65536	91141	3	{ns=0}
-91143	义军	65536	20041	3	{n=0}
-91144	人工授	65536	113132	1	null
-91145	仓库	65536	20179	3	{n=27}
-91146	印把子	65536	117564	3	{n=0}
-91147	不足挂	65536	118852	1	null
-91148	印度尼西亚共	69497	91140	1	null
-91149	印染厂	65536	118917	3	{n=2}
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-91151	印章学	65536	123794	3	{n=0}
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-91153	个把	65536	20010	3	{m=1}
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-91163	人民币	65536	116760	3	{n=130}
-91164	册封	65536	20876	3	{v=0}
-91165	危急性	65536	109949	3	{n=0}
-91166	住嘴	65536	20303	3	{v=0}
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-91172	三七	65536	19977	1	null
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-91174	危机四	70931	111762	1	null
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-91178	三三	65608	19977	1	null
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-91181	前言不搭	67142	88659	1	null
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-91184	勾肩搭	65538	107884	1	null
-91185	十年一	68387	117537	1	null
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-91212	冒险家	65536	115867	3	{n=0}
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-91290	仁川	65536	20161	3	{ns=1}
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-91300	厕所	65644	21397	2	{n=13}
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-91306	厚积薄发	65536	99721	3	{i=0}
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-91309	中央人民广播	65538	89727	1	null
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-91312	冻凝	65549	20923	1	null
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-91324	凡例	65536	20961	3	{n=0}
-91325	原封不	70169	126356	1	null
-91326	俗家	65536	20439	3	{n=0}
-91327	但愿	65536	20294	3	{v=10}
-91328	刘公	65620	21016	1	null
-91329	原封不动	65536	91325	3	{i=0}
-91330	九州	65536	20061	3	{n=2, nz=1}
-91331	争夺	65543	20105	2	{v=17, vn=5}
-91332	出人意	65764	121316	1	null
-91333	内阁总	65547	135839	1	null
-91334	依依恋	65536	93362	1	null
-91335	卫星城	65536	101034	3	{n=0}
-91336	三产	65536	19977	3	{j=3}
-91337	原平市	65536	126982	3	{ns=0}
-91338	原教旨主	71298	91848	1	null
-91339	原教旨主义	65536	91338	3	{n=4}
-91340	压轴子	65536	128819	3	{n=0}
-91341	健美操	65536	105633	3	{n=0}
-91342	原汁原	69724	130516	1	null
-91343	原汁原味	65536	91342	3	{i=1}
-91344	争奇	65536	20105	1	null
-91345	千古兴	69374	115982	1	null
-91346	原班人	65577	132480	1	null
-91347	原索动	65579	134837	1	null
-91348	原线圈	65536	135250	3	{n=0}
-91349	原阳县	65536	141254	3	{ns=0}
-91350	厢房	65536	21410	3	{n=4}
-91351	别墅式	65536	108108	3	{b=0}
-91352	侨居	65536	20392	3	{v=0}
-91353	去伪存	65560	104739	1	null
-91354	人心所	65605	113610	1	null
-91355	去粗取	65538	116368	1	null
-91356	厉兵	65548	21385	1	null
-91357	厮打	65536	21422	3	{v=0}
-91358	去污剂	65536	112218	3	{n=0}
-91359	县人委	65536	110030	3	{j=0}
-91360	县委会	65536	112872	3	{n=0}
-91361	县知事	65536	120569	3	{n=0}
-91362	出口儿	65536	122637	3	{n=1}
-91363	参众两	65592	111856	1	null
-91364	县政协	65536	115795	3	{j=0}
-91365	原生动	65576	132786	1	null
-91366	参加国	65536	112761	3	{n=0}
-91367	厦华	65536	21414	3	{nz=1}
-91368	压力壳	65536	113242	3	{n=1}
-91369	厨具	65536	21416	3	{n=0}
-91370	参与感	65536	111591	3	{n=1}
-91371	去年初	65536	108653	3	{t=7}
-91372	匪兵	65536	21290	3	{n=0}
-91373	剑南	65637	21073	1	null
-91374	参差不	65542	115655	1	null
-91375	三从	65536	19977	1	null
-91376	厦南	65536	21414	3	{ns=0}
-91377	侨属	65536	20392	3	{n=1}
-91378	久拖	66012	20037	1	null
-91379	厌世	65536	21388	3	{v=0}
-91380	参战国	65536	116721	3	{n=0}
-91381	参政党	65536	117528	3	{n=1}
-91382	参议会	65536	127367	3	{n=0}
-91383	健身操	65536	109502	3	{n=0}
-91384	又哭又	65698	91392	1	null
-91385	又惊又	69471	94429	1	null
-91386	三仙	65536	19977	1	null
-91387	又惊又喜	65536	91385	3	{l=0}
-91388	又红又	71402	102069	1	null
-91389	又红又专	65536	91388	3	{l=0}
-91390	丢掉	65536	20002	3	{v=6}
-91391	叉子	65536	21449	3	{n=0}
-91392	又哭	69936	21448	1	null
-91393	友爱新党	65536	91851	3	{n=2}
-91394	函大	65536	20989	3	{j=0}
-91395	友谊座	65536	116015	3	{n=1}
-91396	双低型	65536	124070	3	{n=1}
-91397	三令	65545	19977	1	null
-91398	及时性	65536	96685	3	{n=1}
-91399	双刃剑	65536	124763	3	{n=0}
-91400	凡俗	65536	20961	3	{n=0}
-91401	双周刊	65536	125376	3	{n=0}
-91402	双喜临	65720	125684	1	null
-91403	共同市	65557	103952	1	null
-91404	兜子	65536	20828	3	{n=0}
-91405	义务	65646	20041	2	{d=32, n=44}
-91406	保险带	65536	125494	3	{n=0}
-91407	双垂尾	65536	126170	3	{n=0}
-91408	双增双	65551	126454	1	null
-91409	双多向	65536	126578	3	{n=0}
-91410	匪军	65536	21290	3	{n=0}
-91411	原始公	65548	125790	1	null
-91412	勺子	65536	21242	3	{n=0}
-91413	双十佳	65536	125081	3	{n=1}
-91414	争妍	65540	20105	1	null
-91415	乙巳	65536	20057	3	{m=0}
-91416	双女户	65536	126667	3	{j=2}
-91417	人头攒	65578	111931	1	null
-91418	住地	65536	20303	3	{n=4}
-91419	双子座	65536	127144	3	{n=0}
-91420	占领军	65536	118915	3	{n=1}
-91421	伏击	65549	20239	2	{v=1, vn=0}
-91422	双学位	65536	127166	3	{n=0}
-91423	双层床	65536	127386	3	{n=0}
-91424	双引号	65536	128109	3	{n=0}
-91425	双找工	65536	128982	3	{n=1}
-91426	俗尚	65536	20439	3	{n=0}
-91427	今人	65536	20170	3	{n=5}
-91428	俄央	65552	20420	1	null
-91429	双拥办	65536	129085	3	{j=1}
-91430	双月刊	65536	130144	3	{n=0}
-91431	双林寺	65536	130287	3	{n=1, ns=0}
-91432	双立人	65536	135203	3	{n=0}
-91433	双管齐下	65536	106329	3	{i=0}
-91434	住址	65536	20303	3	{n=7}
-91435	双职工	65536	136612	3	{n=5}
-91436	双肩包	65536	136705	3	{n=0}
-91437	及其	65536	21450	3	{c=103}
-91438	双重人	65724	141093	1	null
-91439	一木难支	65536	104126	3	{i=0}
-91440	三伏	65542	19977	2	{t=0}
-91441	乐不可支	65536	87080	3	{i=0}
-91442	俾路支	65554	101891	1	null
-91443	义勇	65544	20041	1	null
-91444	党总支	65536	110168	3	{n=3}
-91445	减收增支	65536	88229	3	{l=1}
-91446	七擒	65607	19971	1	null
-91447	人均收	65621	111438	1	null
-91448	临危授	65539	92208	1	null
-91449	三优	65536	19977	3	{j=10}
-91450	修修改改	65536	91472	3	{v=1}
-91451	以毒攻	65540	110735	1	null
-91452	内外夹攻	65536	90638	3	{i=0}
-91453	亏损	65544	20111	2	{n=7, v=26, vd=0, vn=34}
-91454	一花独放	65587	94957	2	{i=0}
-91455	三光政	65536	92010	1	null
-91456	中共中央政	65536	88389	1	null
-91457	中华人民共和国政	65542	87810	1	null
-91458	中国人民解放	65540	100839	1	null
-91459	中国人民政	65537	93203	1	null
-91460	休假	65536	20241	3	{n=1, v=6, vn=4}
-91461	一见如故	65536	88451	3	{i=0}
-91462	人情世故	65536	86195	3	{i=0}
-91463	人身事故	65536	86205	3	{l=0}
-91464	上行下效	65536	85678	3	{i=0}
-91465	东施效	65537	100063	1	null
-91466	他乡遇故	65542	103017	1	null
-91467	以儆效	65536	103875	1	null
-91468	以观后效	65536	87162	3	{i=0}
-91469	依然如故	65536	88475	3	{i=0}
-91470	保守党政	65569	87574	1	null
-91471	假想敌	65536	109612	3	{n=0}
-91472	修修改	65537	99301	1	null
-91473	从井救	66063	102240	1	null
-91474	以水救	65543	110833	1	null
-91475	以火救	65539	111912	1	null
-91476	决策层	65536	111237	3	{n=1}
-91477	亲如手	65543	98398	1	null
-91478	严打	65536	20005	3	{v=14, vn=0}
-91479	依依惜	65625	93362	1	null
-91480	九年	65549	20061	1	null
-91481	一神教	65536	96606	3	{n=0}
-91482	东正教	65536	101509	3	{nz=1}
-91483	中等教	65537	116765	1	null
-91484	九流三教	65536	86053	3	{i=0}
-91485	减人增效	65536	88227	3	{l=8}
-91486	依然故	65567	101963	1	null
-91487	减员增效	65536	88228	3	{l=17}
-91488	八卦教	65536	106586	3	{n=0}
-91489	中小学教	65536	89102	1	null
-91490	亡故	65536	20129	3	{v=0}
-91491	一盘散	65536	95960	1	null
-91492	三花接骨散	65536	105129	3	{n=2}
-91493	一哄而散	65536	98317	3	{i=0}
-91494	不欢而散	65536	98337	3	{i=0}
-91495	云消雾散	65536	104191	3	{i=0}
-91496	伊斯兰教	65536	86487	3	{nz=16, z=1}
-91497	乔治敦	65536	93450	3	{ns=0}
-91498	休斯敦	65536	96940	3	{n=1, ns=1}
-91499	伸张	65536	20280	3	{v=1, vn=1}
-91500	不恭不敬	65536	85763	3	{l=0}
-91501	业余教	65536	86199	1	null
-91502	三位	65649	19977	1	null
-91503	作鸟兽散	65536	86636	3	{i=0}
-91504	一次函数	65536	86527	3	{n=0}
-91505	三角函数	65536	86533	3	{l=0}
-91506	上岁数	65536	96327	3	{v=0}
-91507	不可胜数	65536	98784	3	{i=1}
-91508	一整	65538	19968	1	null
-91509	不在少数	65536	89251	3	{l=1}
-91510	不计其数	65536	86409	3	{i=2}
-91511	互质数	65536	104412	3	{n=0}
-91512	件数	65536	20214	3	{n=0}
-91513	体胀系数	65536	97536	3	{l=0}
-91514	佯攻	65536	20335	3	{v=0}
-91515	假分数	65536	105791	3	{n=0}
-91516	促成	65536	20419	3	{v=22, vn=0}
-91517	偶函数	65536	92114	3	{n=0}
-91518	入不敷	66527	110636	1	null
-91519	公倍数	65536	116446	3	{n=0}
-91520	公约数	65536	128375	3	{n=0}
-91521	佩戴	65536	20329	3	{v=4, vn=0}
-91522	公里数	65536	133277	3	{n=0}
-91523	几何级数	65536	100285	3	{l=0}
-91524	分指数	65536	127571	3	{n=0}
-91525	刑释解教	65536	100854	3	{j=0}
-91526	公因数	65536	118193	3	{n=0}
-91527	一文	65554	19968	1	null
-91528	一纸空文	65536	96893	3	{i=0}
-91529	不值一文	65536	85712	3	{i=0}
-91530	不名一文	65536	85726	3	{i=0}
-91531	中英文	65536	118725	3	{j=0}
-91532	仰韶文	65551	106185	1	null
-91533	八股文	65536	118165	3	{n=0}
-91534	出土文	65557	123465	1	null
-91535	人口数	65536	110570	3	{n=3}
-91536	列支敦	65549	104776	1	null
-91537	一斑	65537	19968	2	{n=0}
-91538	出栏数	65536	127801	3	{n=0}
-91539	五彩斑斓	65536	91541	3	{l=2}
-91540	五一文	65536	104372	3	{nz=0}
-91541	五彩斑	65536	108829	1	null
-91542	初见成效	65536	90758	3	{l=6}
-91543	争奇斗	65542	91344	1	null
-91544	乡土文	65553	89512	1	null
-91545	下脚料	65536	108437	3	{n=0}
-91546	不出所料	65536	90691	3	{i=0}
-91547	争妍斗	66057	91414	1	null
-91548	乜斜	65536	20060	3	{v=0}
-91549	争芳斗	65544	101948	1	null
-91550	争鲜斗	65543	108581	1	null
-91551	偶氮染料	65536	92116	3	{n=0}
-91552	偷工减料	65536	87365	3	{i=3}
-91553	凋敝	65536	20939	3	{a=0}
-91554	党纪政	65639	117959	1	null
-91555	几分收	65540	93961	1	null
-91556	出乎意料	65536	90429	3	{l=3}
-91557	乱兵	65536	20081	3	{n=0}
-91558	凌乱	65536	20940	3	{a=1}
-91559	凝聚性	65536	101857	3	{n=0}
-91560	出乎预料	65536	104626	3	{i=0}
-91561	分散染料	65536	94100	3	{n=0}
-91562	刹风整	65671	107439	1	null
-91563	前后文	65536	121467	3	{n=1}
-91564	劈风斩	65538	115900	1	null
-91565	一刀两断	65536	85541	3	{i=0}
-91566	举止文	65536	95073	1	null
-91567	乌兹别克斯	65536	86361	1	null
-91568	万象更新	65536	91892	3	{i=6}
-91569	云西新	65581	108094	1	null
-91570	亚的斯	66017	105061	1	null
-91571	以旧翻新	65536	98301	3	{i=0}
-91572	专场	65536	19987	3	{n=11}
-91573	优柔寡断	65536	89058	3	{i=0}
-91574	伤其十指不如断	65646	88462	1	null
-91575	佳木斯	65624	100690	2	{ns=6}
-91576	俄罗斯	65543	101197	2	{n=0, ns=270, nz=0}
-91577	一方	65538	19968	1	null
-91578	一元方	65536	86339	1	null
-91579	一次方	65537	92961	1	null
-91580	东方不亮西方	65730	100743	1	null
-91581	举止大方	65536	88398	3	{i=0}
-91582	乐善好施	65536	88446	3	{i=0}
-91583	付诸实施	65536	89698	3	{l=5}
-91584	仪态万方	65536	86276	3	{i=0}
-91585	一旁	65536	19968	3	{f=3, s=0}
-91586	义卖	65536	20041	3	{v=4, vn=0}
-91587	倒行逆施	65536	102406	3	{i=1}
-91588	两弹	65921	20004	1	null
-91589	克拉斯诺亚尔斯	66666	89145	1	null
-91590	东西方	65536	109217	3	{f=0, j=6, n=0, s=1}
-91591	义务教	65538	91405	1	null
-91592	克莱斯	66289	117095	1	null
-91593	全国工	65709	114351	1	null
-91594	冷眼旁	65579	122693	1	null
-91595	京东	65536	20140	3	{ns=0}
-91596	八方支	65537	111277	1	null
-91597	伦敦	65536	20262	3	{ns=57}
-91598	切尔米斯	65536	97458	3	{ns=0}
-91599	上班族	65536	102323	3	{n=2}
-91600	仡佬族	65536	86242	3	{nz=1}
-91601	仫佬族	65536	86278	3	{nz=1}
-91602	井岸	65554	20117	1	null
-91603	似懂	65538	20284	1	null
-91604	佤族	65536	20324	3	{nz=3}
-91605	中华民族	65536	93521	3	{n=118}
-91606	俄罗斯族	65536	91576	3	{nz=2}
-91607	三面红旗	65536	97956	3	{n=0}
-91608	不成文	65537	107681	1	null
-91609	东乡族	65536	94083	3	{nz=1}
-91610	五星红旗	65536	98033	3	{n=17}
-91611	傈僳族	65536	87370	3	{nz=1}
-91612	仁弟	65536	20161	3	{n=0}
-91613	保健操	65536	107570	3	{n=1}
-91614	他家	65536	20182	3	{r=23}
-91615	京丰	65536	20140	3	{nz=0}
-91616	一无	65537	19968	2	{d=0, j=0}
-91617	一事无	65537	85643	1	null
-91618	一如既	65537	88450	1	null
-91619	一展无	65536	89173	1	null
-91620	一望无	65537	91931	1	null
-91621	一日	65559	19968	1	null
-91622	一旦	65536	19968	3	{c=0, d=60}
-91623	一往无	65536	89984	1	null
-91624	一般无	65547	98860	1	null
-91625	一早	65536	19968	3	{d=0, t=6}
-91626	一大早	65536	88359	3	{d=0, t=18}
-91627	一览无	65536	100808	1	null
-91628	万般无	65536	98976	1	null
-91629	万寿无	65536	89203	1	null
-91630	万里无	65545	102976	1	null
-91631	不可一日无	65544	91817	1	null
-91632	一清早	65536	93701	3	{t=1}
-91633	不可同日	65550	87312	1	null
-91634	不可终日	65536	98252	3	{i=0}
-91635	不咎既	65539	104223	1	null
-91636	不学无	65536	105975	1	null
-91637	不念旧	65536	107142	1	null
-91638	一时	65569	19968	2	{b=0, d=0, m=0, t=33}
-91639	一霎时	65536	104206	3	{t=0}
-91640	不合时	65543	104089	1	null
-91641	不违农时	65536	86429	3	{i=0}
-91642	不识时	65552	118359	1	null
-91643	与世无	65729	85858	1	null
-91644	与此同时	65536	87066	3	{c=64}
-91645	下半旗	65536	96709	3	{v=0}
-91646	世风日	65882	106214	1	null
-91647	两小无	65536	90778	1	null
-91648	举世无	65592	87573	1	null
-91649	中下旬	65536	105183	3	{j=0, t=2}
-91650	为时过早	65536	102354	3	{l=1}
-91651	二次方	65541	105563	1	null
-91652	于事无	65537	86114	1	null
-91653	云开日	65538	97215	1	null
-91654	互通有无	65536	91921	3	{i=0}
-91655	亲密无	65541	98978	1	null
-91656	亢旱	65536	20130	3	{v=0}
-91657	仍旧	65536	20173	3	{d=4}
-91658	不成方	65536	107681	1	null
-91659	众鸟蔽日	65536	99645	3	{l=1}
-91660	京九	65536	20140	3	{j=2}
-91661	乳儿	65536	20083	3	{n=0}
-91662	下落不明	65536	85682	3	{l=0}
-91663	不言自明	65536	99102	3	{i=0}
-91664	举目无	65843	98029	1	null
-91665	以其昏	65539	103987	1	null
-91666	以其昏昏	65536	91665	3	{i=0}
-91667	世界贸易	65543	102076	1	null
-91668	今不如昔	65536	88454	3	{i=0}
-91669	为所	65537	20026	1	null
-91670	今非昔	65537	110023	1	null
-91671	以暴易	65538	109425	1	null
-91672	休息日	65536	95596	3	{n=4}
-91673	世态	65536	19990	2	{n=2}
-91674	众擎易	66270	95584	1	null
-91675	上半时	65536	93968	3	{t=3}
-91676	下半时	65536	96709	3	{t=3}
-91677	代数方	65545	101245	1	null
-91678	佛拉明	65537	101917	1	null
-91679	一星	65539	19968	1	null
-91680	两弹一星	65536	85889	3	{j=1}
-91681	乐喜金星	65536	102877	3	{nz=0}
-91682	二泉映	65542	105987	1	null
-91683	中子星	65536	108580	3	{n=0}
-91684	交相辉映	65536	102281	3	{i=5}
-91685	一场春	65536	87866	1	null
-91686	一年之计在于春	65536	85649	3	{i=0}
-91687	一花独放不是春	65536	91697	3	{l=1, n=0}
-91688	万紫千红春	65538	97954	1	null
-91689	中低收	65536	105506	1	null
-91690	人造卫星	65536	87590	3	{n=3}
-91691	义县	65536	20041	3	{ns=0}
-91692	人造行星	65536	101127	3	{l=0}
-91693	万方	65536	19975	3	{nr=1, nz=0}
-91694	上下文	65536	92625	3	{n=0}
-91695	一是	65570	19968	1	null
-91696	一无是	65536	91616	1	null
-91697	一花独放不是	65538	85568	1	null
-91698	一身是	65536	102059	1	null
-91699	不论是	65536	118347	3	{c=11}
-91700	两个凡是	65536	86498	3	{j=2}
-91701	也就是	65552	89160	1	null
-91702	九归	65536	20061	3	{n=0}
-91703	习性	65536	20064	3	{n=4}
-91704	习非成是	65536	90654	3	{i=0}
-91705	人有旦	65550	115472	1	null
-91706	不可收	65536	104064	1	null
-91707	京二	65537	20140	1	null
-91708	今是昨	65536	97432	1	null
-91709	伊克昭	65537	94980	1	null
-91710	一显	65537	19968	1	null
-91711	众目昭	65536	100224	1	null
-91712	作息时	65545	112596	1	null
-91713	人民性	65536	116760	3	{n=1}
-91714	佳妙无	65771	97219	1	null
-91715	一晃	65542	19968	2	{v=0}
-91716	亮晃晃	65536	92520	3	{z=0}
-91717	使人昭	65561	92860	1	null
-91718	使人昭昭	65536	91717	3	{i=0}
-91719	信誓旦	65635	122377	1	null
-91720	休克	65536	20241	3	{v=1, vn=1}
-91721	信誓旦旦	65536	91719	3	{i=1}
-91722	俯拾即是	65536	86960	3	{i=0}
-91723	乞援	65536	20062	3	{v=0}
-91724	一时半晌	65536	86891	3	{l=0}
-91725	俯拾皆是	65536	95939	3	{i=0}
-91726	倒计时	65542	120694	1	null
-91727	值得一提的是	65536	95891	3	{l=1, n=0}
-91728	七旬	65536	19971	3	{m=1, n=0}
-91729	做生日	65536	109790	3	{v=0}
-91730	偷天换日	65536	90979	3	{i=0}
-91731	先见之明	65536	87423	3	{i=1}
-91732	万无	65641	19975	1	null
-91733	不可救	65537	104064	1	null
-91734	先驱新	66604	126277	1	null
-91735	光天化日	65536	87442	3	{i=1}
-91736	全民族	65536	119747	3	{n=0}
-91737	保安族	65536	110422	3	{nz=1}
-91738	一天到晚	65536	86577	3	{l=2}
-91739	为时已晚	65536	89597	3	{i=0, l=1}
-91740	傍晚	65536	20621	3	{t=12}
-91741	五角星	65536	119686	3	{n=0}
-91742	光电效	65596	120756	1	null
-91743	八仙过海各显	66721	87569	1	null
-91744	公平交易	65536	87623	3	{i=0}
-91745	公正无	65560	123444	1	null
-91746	公里/小时	65536	89196	3	{n=0}
-91747	公里／小时	65536	89198	3	{n=2}
-91748	六神无	67615	106158	1	null
-91749	共商国是	65536	87846	3	{i=1}
-91750	关停并	65556	106306	1	null
-91751	其乐无	65537	97373	1	null
-91752	中国政	65543	107473	1	null
-91753	其味无	65538	98944	1	null
-91754	典雅无	66386	106643	1	null
-91755	僧徒	65536	20711	3	{n=0}
-91756	仓惶	65536	20179	3	{ad=1}
-91757	养兵千日	65536	87713	3	{i=0, l=0}
-91758	兼听则明	65536	87719	3	{l=0}
-91759	万流景	65536	93621	1	null
-91760	储备	65596	20648	2	{n=11, v=3, vn=41}
-91761	上半晌	65536	93968	3	{t=0}
-91762	内行星	65536	132330	3	{n=0}
-91763	为时过晚	65536	102354	3	{l=0}
-91764	冥王星	65536	95779	3	{n=0}
-91765	冬去春	65719	106791	1	null
-91766	亮晶晶	65536	92571	3	{z=0}
-91767	农科教	65536	122777	3	{j=0}
-91768	休养	65574	20241	2	{v=1, vn=0}
-91769	凯鲁旺	65629	108647	2	{ns=0}
-91770	准确无	65597	109959	1	null
-91771	出头之日	65536	88132	3	{i=0}
-91772	刀马旦	65536	124920	3	{n=0}
-91773	出人意料	65536	91332	3	{i=2}
-91774	丁是	65607	19969	1	null
-91775	分钟时	65537	140267	1	null
-91776	分子式	65536	125596	3	{n=0}
-91777	初等教	65541	126162	1	null
-91778	利令智	65653	109179	1	null
-91779	七星	65538	19971	1	null
-91780	利令智昏	65536	91778	3	{i=0}
-91781	利纳雷斯	65536	104183	3	{ns=1}
-91782	创造性	65536	122484	3	{n=45}
-91783	别来无	65586	111916	1	null
-91784	前途无	65587	136833	1	null
-91785	决胜局	65536	112651	3	{n=1}
-91786	剑南春	65536	91373	3	{nz=0}
-91787	剪不断	65550	102686	1	null
-91788	功率因数	65536	88715	3	{l=0}
-91789	加拉加斯	65536	88739	3	{ns=8}
-91790	劣迹昭	65537	107575	1	null
-91791	劳动资料	65536	118479	3	{l=0}
-91792	劳斯莱斯	65536	99251	3	{nz=0}
-91793	候教	65536	20505	3	{v=0}
-91794	劳而无	67727	120776	1	null
-91795	劳资政	65536	124160	3	{j=3}
-91796	倾倒	65536	20542	3	{v=7, vn=0}
-91797	势均力敌	65536	88819	3	{i=1}
-91798	勤政廉政	65536	90348	3	{l=5}
-91799	勾心斗	65577	99462	1	null
-91800	初等数	65932	126162	1	null
-91801	他山	66198	20182	1	null
-91802	化妆师	65536	111216	3	{n=1}
-91803	偃旗	65548	20547	1	null
-91804	化学肥料	65536	118505	3	{l=0}
-91805	化装师	65536	123311	3	{n=0}
-91806	劲升	65536	21170	3	{v=0}
-91807	债市	65536	20538	3	{n=2}
-91808	化雨春	65567	126930	1	null
-91809	北斗星	65536	128072	3	{n=0, nz=1}
-91810	侵扰	65536	20405	3	{vn=0}
-91811	十年九旱	65536	91278	3	{l=1}
-91812	偶像	65536	20598	3	{n=1}
-91813	十年如一日	65536	89466	3	{l=1, n=0}
-91814	乡思	65536	20065	3	{n=0}
-91815	不失时	65547	105410	1	null
-91816	十进对数	65536	92959	3	{l=0}
-91817	不可一日	65551	85764	1	null
-91818	千瓦小时	65536	90488	3	{q=0}
-91819	千载一时	65536	89537	3	{i=0}
-91820	半瓶子晃	65539	90523	1	null
-91821	卑鄙无	65623	109002	1	null
-91822	单名数	65536	125205	3	{n=0}
-91823	卖弄聪明	65536	98455	3	{l=0}
-91824	中国文	65537	107473	1	null
-91825	南安普	65559	126525	1	null
-91826	两性	65736	20004	2	{b=1}
-91827	南海市	65536	131115	3	{ns=1}
-91828	一暴	65537	19968	1	null
-91829	不畏强暴	65536	89916	3	{i=0}
-91830	以暴易暴	65536	91671	3	{i=0}
-91831	冰风暴	65536	131027	3	{n=2}
-91832	医学史	65536	108158	3	{n=2}
-91833	剖宫	68531	21078	1	null
-91834	南箕北斗	65536	90986	3	{i=0}
-91835	占领区	65536	118915	3	{n=4}
-91836	卑下	65536	21329	3	{a=0}
-91837	仁怀	65598	20161	2	{ns=0}
-91838	卡萨芒斯	65536	100497	3	{ns=0}
-91839	危在旦	68356	107648	1	null
-91840	历历可	65873	101053	1	null
-91841	历历可数	65536	91840	3	{i=0}
-91842	刨子	65536	21032	3	{n=1}
-91843	厉行改	65562	105395	1	null
-91844	压电效	67084	122100	1	null
-91845	厚颜无	65636	124690	1	null
-91846	原子序数	65536	99725	3	{l=0}
-91847	初级小	65936	127024	1	null
-91848	原教旨	71311	128748	1	null
-91849	原材料	65536	129251	3	{n=13}
-91850	参政议政	65536	106313	3	{l=5}
-91851	友爱新	70567	109398	1	null
-91852	双休日	65536	124009	3	{t=8}
-91853	双文明	65536	129759	3	{j=1}
-91854	仲春	65536	20210	3	{nr=0, t=1}
-91855	双百方	65537	134102	1	null
-91856	临刑	65536	20020	3	{v=0}
-91857	公开性	65536	120273	3	{n=0}
-91858	双高型	65536	143408	3	{n=1}
-91859	双鸭山	65536	144261	3	{ns=0}
-91860	反中子	65536	126932	3	{n=0}
-91861	免不得	65536	98887	3	{d=0}
-91862	反之亦	65541	126962	1	null
-91863	反作用力	65536	95629	3	{n=0}
-91864	乱动	65536	20081	3	{v=0}
-91865	反其道而行之	65536	100496	3	{i=1, n=0}
-91866	剃度	65536	21059	3	{v=0}
-91867	中西方	65536	120403	3	{f=1}
-91868	反冲力	65536	127833	3	{n=0}
-91869	世情	65536	19990	3	{n=0}
-91870	反函数	65536	127908	3	{n=0}
-91871	反光性	65536	127728	3	{n=0}
-91872	历史使	69621	101161	1	null
-91873	反刍动	65583	127924	1	null
-91874	反反复	69080	128372	1	null
-91875	凌侮	65536	20940	3	{v=0}
-91876	压缩性	65536	124648	3	{n=0}
-91877	反反复复	65536	91874	3	{i=1}
-91878	反咬一	70404	128595	1	null
-91879	反咬一口	65536	91878	3	{l=0}
-91880	剔庄	65576	21076	1	null
-91881	反坦克	65540	129293	1	null
-91882	临别	65536	20020	3	{v=5, vn=1}
-91883	反垄断	65582	129323	1	null
-91884	反复无常	65536	93883	3	{i=0}
-91885	反客为	71861	130377	1	null
-91886	住处	65536	20303	3	{n=7}
-91887	临到	65536	20020	3	{v=2}
-91888	反客为主	65536	91885	3	{i=0}
-91889	与人无	65731	86022	1	null
-91890	三部曲	65536	108297	3	{n=0}
-91891	交响协奏曲	65536	88417	3	{n=2}
-91892	万象更	65536	101589	1	null
-91893	前奏曲	65536	122812	3	{n=0}
-91894	半夜三更	65536	90493	3	{i=0}
-91895	个数	65536	20010	3	{n=8}
-91896	义和	65540	20041	1	null
-91897	协奏曲	65536	98957	3	{n=7}
-91898	人工智	65537	113132	1	null
-91899	反射定律	65536	93483	3	{n=0}
-91900	伊士曼	65536	96932	3	{ns=0}
-91901	劣势	65536	21155	3	{n=12}
-91902	反戈一	70919	132015	1	null
-91903	习惯	65554	20064	2	{n=46, v=16, vn=0}
-91904	冒名顶替	65536	104568	3	{i=1}
-91905	主题曲	65536	122923	3	{n=2}
-91906	反戈一击	65536	91902	3	{i=0}
-91907	厌倦	65536	21388	3	{v=2, vn=0}
-91908	乳制	65554	20083	1	null
-91909	反托拉	65880	132095	1	null
-91910	丽日	65536	20029	3	{n=3}
-91911	反托拉斯	65583	91909	1	null
-91912	一月	65536	19968	3	{t=175}
-91913	三生有	65539	101184	1	null
-91914	一无所有	65536	90689	3	{i=1}
-91915	上个月	65536	92656	3	{t=4}
-91916	不知人间有	65536	103927	1	null
-91917	事出有	65544	95240	1	null
-91918	二泉映月	65536	91682	3	{n=0, nz=2}
-91919	井井有	65582	87983	1	null
-91920	乳剂	65536	20083	3	{n=0}
-91921	互通有	65574	105166	1	null
-91922	亘古未有	65536	91958	3	{i=0}
-91923	人心悦诚服	65536	101338	3	{i=1, n=0}
-91924	从无到有	65536	86579	3	{l=1}
-91925	从未有	65537	108533	1	null
-91926	令人信服	65536	88072	3	{l=4}
-91927	令人叹服	65536	89120	3	{l=1}
-91928	以理服	66108	112835	1	null
-91929	众星拱月	65536	90865	3	{i=0}
-91930	众星捧月	65536	90983	3	{i=1}
-91931	一望	65540	19968	1	null
-91932	东张西望	65536	100739	3	{i=0}
-91933	一朝	65571	19968	1	null
-91934	举目四望	65536	87819	3	{l=1}
-91935	一期	65536	19968	3	{b=0}
-91936	三叶期	65536	92695	3	{t=0}
-91937	三年期	65536	95381	3	{b=0}
-91938	上升期	65536	93965	3	{n=1}
-91939	上星期	65536	98789	3	{t=2}
-91940	下星期	65536	101530	3	{t=0}
-91941	中后期	65536	106722	3	{f=3, t=0}
-91942	中短期	65536	115905	3	{b=0, j=1}
-91943	事业有	65552	94248	1	null
-91944	一木	65536	19968	1	null
-91945	一年期	65536	89716	3	{b=2, n=0}
-91946	一草一木	65536	85569	3	{i=2}
-91947	世纪末	65536	99522	3	{t=2}
-91948	一本	65568	19968	1	null
-91949	不变资本	65536	101700	3	{l=0}
-91950	不惜工本	65536	89573	3	{i=0}
-91951	不学无术	65536	91636	3	{i=0}
-91952	中译本	65536	120997	3	{n=0}
-91953	与日	65541	19982	1	null
-91954	丰收期	65536	92697	3	{n=1}
-91955	乌鲁木	65539	112264	1	null
-91956	乳臭未	65553	104123	1	null
-91957	五年期	65536	108584	3	{b=0}
-91958	亘古未	65545	87102	1	null
-91959	产业资本	65536	102019	3	{l=0}
-91960	产褥期	65536	108451	3	{t=0}
-91961	人非草木	65536	99147	3	{i=0}
-91962	一机	65537	19968	1	null
-91963	一号机	65536	87031	3	{n=1}
-91964	一片生机	65536	95520	3	{l=0}
-91965	一线生机	65536	95521	3	{n=0}
-91966	上光机	65536	93455	3	{n=0}
-91967	中型机	65536	107615	3	{n=0}
-91968	一笔抹杀	65536	90810	3	{i=0}
-91969	中文机	65536	111195	3	{n=1}
-91970	与时	65536	19982	1	null
-91971	专有权	65536	95619	3	{n=0}
-91972	上半期	65536	93968	3	{t=1}
-91973	不失时机	65536	91815	3	{l=7}
-91974	中央集权	65536	104735	3	{n=1}
-91975	专利权	65536	90275	3	{n=1}
-91976	中长期	65536	123475	3	{b=0, j=11}
-91977	专卖权	65536	90576	3	{n=0}
-91978	二号机	65536	99633	3	{n=1}
-91979	人多嘴杂	65536	87619	3	{i=0}
-91980	代谢期	65536	111151	3	{t=0}
-91981	任免权	65536	93843	3	{n=0}
-91982	乡情	65536	20065	3	{n=1}
-91983	中直机	65565	115656	1	null
-91984	两用人材	65536	85896	3	{n=0}
-91985	一表人材	65536	85693	3	{i=0}
-91986	三家村	65536	94679	3	{n=0}
-91987	三星村	65536	97344	3	{ns=0}
-91988	三岔路村	65536	101873	3	{ns=0}
-91989	三台村	65536	92689	3	{ns=0}
-91990	三桥村	65536	97926	3	{ns=0}
-91991	三盖沟村	65536	93343	3	{ns=0}
-91992	上国村	65536	94915	3	{ns=0}
-91993	三角村	65536	106483	3	{ns=0}
-91994	上梅洲村	65536	93490	3	{ns=0}
-91995	上港村	65536	100853	3	{ns=3}
-91996	上湖村	65536	100892	3	{n=0}
-91997	上藏马村	65536	105070	3	{ns=0}
-91998	下叔村	65536	96847	3	{ns=0}
-91999	下吴村	65536	96943	3	{ns=0}
-92000	下和村	65536	97031	3	{ns=0}
-92001	一条	65538	19968	1	null
-92002	下塘村	65536	98003	3	{ns=0}
-92003	下寨村	65536	98915	3	{ns=0}
-92004	三元	65538	19977	2	{nz=0}
-92005	一来	65542	19968	2	{c=5}
-92006	一般说来	65536	101372	3	{l=3}
-92007	下小河村	65536	93366	3	{ns=0}
-92008	不符合条	65595	87051	1	null
-92009	下马村	65536	114919	3	{ns=0}
-92010	三光	65536	19977	2	{j=2}
-92011	中关村	65536	106055	3	{ns=0}
-92012	七月	65536	19971	3	{t=10}
-92013	一般来	65537	98860	1	null
-92014	个旧	65536	20010	3	{ns=0}
-92015	丫杈	65536	20011	3	{n=0}
-92016	中江村	65536	112947	3	{ns=3}
-92017	中药材	65536	118851	3	{n=2}
-92018	举例来	65549	87946	1	null
-92019	乌沙村	65536	100000	3	{ns=0}
-92020	主动权	65536	105019	3	{n=7}
-92021	乐百氏杯	65536	93199	3	{nz=2}
-92022	乔庄村	65536	89811	3	{ns=0}
-92023	乔木	65536	20052	3	{n=1, nr=0}
-92024	乘兴而来	65536	98351	3	{i=0}
-92025	丁未	65536	19969	3	{m=0}
-92026	乱石山村	65536	89219	3	{l=1, ns=8}
-92027	义务服	65565	91405	1	null
-92028	于林庄村	65536	89734	3	{ns=0}
-92029	万有	65536	19975	1	null
-92030	云西新村	65536	91569	3	{ns=0}
-92031	一板	65577	19968	1	null
-92032	一字一板	65536	85513	3	{l=0}
-92033	一米板	65536	97395	3	{n=1}
-92034	七巧板	65536	89675	3	{n=0}
-92035	七色板	65536	99030	3	{n=0}
-92036	不锈钢板	65536	103586	3	{n=0}
-92037	二老板	65536	110907	3	{n=0}
-92038	五合板	65536	105916	3	{n=0}
-92039	三角板	65536	106483	3	{n=0}
-92040	五棵松	65536	111273	3	{ns=0}
-92041	五海村	65536	112427	3	{ns=0}
-92042	乡愁	65536	20065	3	{n=1}
-92043	五短身材	65536	102065	3	{l=0}
-92044	五间坊村	65536	87882	3	{ns=0}
-92045	三公	65537	19977	1	null
-92046	三六	65558	19977	1	null
-92047	井井有条	65536	91919	3	{i=4}
-92048	乱占	65536	20081	3	{v=0}
-92049	亚优杯	65536	94969	3	{nz=0}
-92050	亚俱杯	65536	95186	3	{j=1, nz=0}
-92051	交叉有	65538	104627	1	null
-92052	人尽其材	65536	86459	3	{i=0}
-92053	一枕	65536	19968	1	null
-92054	人心果李	65536	92726	3	{n=0}
-92055	人民政权	65543	93017	1	null
-92056	中央政	65544	108034	1	null
-92057	仙客来	65536	90989	3	{nz=0}
-92058	仟村	65536	20191	3	{nz=0}
-92059	任命权	65536	94659	3	{n=0}
-92060	休闲服	65536	109295	3	{n=0}
-92061	一枝	65536	19968	1	null
-92062	七机	65538	19971	1	null
-92063	丰产林	65536	86922	3	{n=0}
-92064	五星村	65536	110547	3	{ns=0}
-92065	优先权	65536	93120	3	{n=0}
-92066	伐木	65536	20240	3	{v=1, vn=0}
-92067	休眠期	65536	101405	3	{t=1}
-92068	优礼有	65596	103348	1	null
-92069	人事权	65536	109202	3	{n=1}
-92070	优胜者杯	65536	98369	3	{nz=0}
-92071	传播发展期	65536	89176	3	{n=1}
-92072	今儿	66203	20170	2	{t=1}
-92073	二氧杂	65538	105825	1	null
-92074	临阵磨枪	65536	96490	3	{i=1}
-92075	传真机	65536	114921	3	{n=1}
-92076	不胜枚	65789	115565	1	null
-92077	伪政权	65536	95311	3	{n=3}
-92078	传染期	65536	111005	3	{t=0}
-92079	井底	66090	20117	2	{n=0, s=0}
-92080	佐佐木	65536	86645	3	{nr=0}
-92081	余家村	65536	105220	3	{ns=0}
-92082	余波未	66044	109616	1	null
-92083	三角枫	65536	106483	3	{n=0}
-92084	作业本	65536	107903	3	{n=2}
-92085	仓房	65536	20179	3	{n=1}
-92086	三脚架	65536	104251	3	{n=0}
-92087	乐谱架	65536	108260	3	{n=0}
-92088	交易日	65536	109309	3	{n=23}
-92089	丹方	65536	20025	3	{n=0}
-92090	你中有	65560	87352	1	null
-92091	使手机	65536	97869	3	{n=1}
-92092	三军	65536	19977	3	{n=0}
-92093	佃权	65536	20291	3	{n=0}
-92094	三角架	65536	106483	3	{n=0}
-92095	依波沃村	65536	93316	3	{ns=0}
-92096	保存期	65536	110373	3	{n=2}
-92097	保护消费者杯	65536	98387	3	{nz=0}
-92098	保质期	65536	123125	3	{n=1}
-92099	信手拈来	65536	90824	3	{i=0}
-92100	保修期	65536	107451	3	{n=0}
-92101	信而有	65588	119682	1	null
-92102	俱乐部杯	65536	102644	3	{nz=0}
-92103	俭朴	65536	20461	3	{a=1}
-92104	借刀杀	66677	103501	1	null
-92105	使用权	65536	102698	3	{n=15}
-92106	修订本	65536	114585	3	{n=3}
-92107	借此机	66587	110001	1	null
-92108	保温杯	65536	115190	3	{n=0}
-92109	倘或	65536	20504	3	{c=0}
-92110	倦鸟投林	65536	90777	3	{i=0}
-92111	偿还期	65536	104011	3	{n=1}
-92112	傅全有	65536	87372	3	{nr=21}
-92113	傻瓜相机	65536	96024	3	{n=0}
-92114	偶函	65549	20598	1	null
-92115	一尘不染	65536	85524	3	{i=1}
-92116	偶氮染	65542	98819	1	null
-92117	元元本	65707	105104	1	null
-92118	僚机	65536	20698	3	{n=1}
-92119	元元本本	65536	92117	3	{i=0}
-92120	元宝枫	65536	107754	3	{n=0}
-92121	催眠曲	65536	105734	3	{n=0}
-92122	兄弟杯	65536	89898	3	{nz=0}
-92123	下不来	65536	95368	3	{v=0}
-92124	五斗柜	65536	110411	3	{n=0}
-92125	便携机	65536	105738	3	{n=0}
-92126	储水柜	65536	96669	3	{n=0}
-92127	充气机	65536	101122	3	{n=0}
-92128	中央文	65714	108034	1	null
-92129	充要条	67182	108655	1	null
-92130	先决条	67191	107655	1	null
-92131	光脚板	65753	123801	1	null
-92132	乳化	65537	20083	2	{v=1}
-92133	光盘机	65536	121175	3	{n=1}
-92134	先天性	65536	109565	3	{b=5}
-92135	信息库	65536	111589	3	{n=0}
-92136	光谱分析	65536	88278	3	{l=0}
-92137	光风霁月	65536	104193	3	{i=0}
-92138	令人心	65537	86269	1	null
-92139	倍数	65536	20493	3	{n=0}
-92140	克里姆林	65679	88528	1	null
-92141	全译本	65536	127875	3	{n=0}
-92142	公民权	65536	123618	3	{n=0}
-92143	公益林	65536	126363	3	{n=1}
-92144	八面来	65560	123990	1	null
-92145	中流砥柱	65536	96294	3	{i=3}
-92146	传呼机	65536	106054	3	{n=1}
-92147	三春柳	65536	97350	3	{n=0}
-92148	三合板	65536	92713	3	{n=0}
-92149	众人拾柴	65540	90879	1	null
-92150	偷梁换柱	65536	90980	3	{i=0}
-92151	八平柴	65536	109415	3	{j=0}
-92152	兰因絮果	65536	97646	3	{i=0}
-92153	兴隆村	65536	127413	3	{ns=1}
-92154	乃是	65536	20035	3	{v=8}
-92155	具体说来	65536	102409	3	{c=1}
-92156	典藏本	65536	102301	3	{n=0}
-92157	养猪村	65536	112873	3	{n=1}
-92158	兼而有	67677	114695	1	null
-92159	内燃机	65564	126561	2	{n=2}
-92160	了断	65536	20102	3	{v=0}
-92161	乱发	65536	20081	3	{v=0}
-92162	八方来	65735	111277	1	null
-92163	兼容机	65536	105396	3	{n=0}
-92164	再造术	65536	113797	3	{n=2}
-92165	仁慈	65536	20161	3	{a=0}
-92166	于是	66063	20110	2	{c=106, p=1}
-92167	军屯村	65536	121547	3	{ns=0}
-92168	农科技术	65536	91038	3	{n=0}
-92169	冠盖相望	65536	96101	3	{i=0}
-92170	乌七	65577	20044	1	null
-92171	全国性	65536	114351	3	{n=21}
-92172	付息	65536	20184	3	{v=1, vn=0}
-92173	信号旗	65536	108397	3	{n=0}
-92174	交货期	65536	119313	3	{t=1}
-92175	值日	65598	20540	2	{v=0, vn=0}
-92176	公布栏	65536	120020	3	{n=1}
-92177	一树	65538	19968	1	null
-92178	七叶树	65536	87130	3	{n=0}
-92179	乌饭树	65536	111476	3	{n=0}
-92180	伴生树	65536	97247	3	{n=0}
-92181	今冬	65536	20170	3	{t=6}
-92182	催眠术	65536	105734	3	{n=0}
-92183	不寒而栗	65536	98332	3	{i=0}
-92184	内容栏	65536	120919	3	{n=1}
-92185	冀州	65762	20864	2	{ns=0}
-92186	令旗	65536	20196	3	{n=0}
-92187	乱叫	65536	20081	3	{v=1}
-92188	冬去春来	65536	91765	3	{l=1}
-92189	伸懒	65536	20280	1	null
-92190	信息廊	65536	111589	3	{n=1}
-92191	全国总	65672	114351	1	null
-92192	公告栏	65536	117531	3	{n=0}
-92193	专科学校	65536	88937	3	{l=6}
-92194	中央党校	65536	86963	3	{n=0}
-92195	五七干校	65536	89737	3	{n=0, nz=1}
-92196	冬常服	65536	109476	3	{n=0}
-92197	冠军杯	65536	93232	3	{n=3}
-92198	冰川期	65536	115938	3	{t=0}
-92199	三分	65536	19977	1	null
-92200	仰慕	65536	20208	3	{v=2, vn=0}
-92201	中小学校	65536	89102	3	{j=0, n=2}
-92202	冲压机	65536	107437	3	{n=0}
-92203	决赛权	65536	115850	3	{n=3}
-92204	伺服	65536	20282	3	{vn=1}
-92205	凡士林	65536	93724	3	{n=0}
-92206	凯旋归来	65536	90123	3	{i=0}
-92207	出污泥而不染	65536	88147	3	{i=1, n=0}
-92208	临危	65968	20020	2	{v=0}
-92209	出线权	65536	133609	3	{n=1}
-92210	人民战	66088	116760	1	null
-92211	了无	65552	20102	1	null
-92212	击弦机	65536	101112	3	{n=2}
-92213	凿岩机	65536	91101	3	{n=0}
-92214	刀山剑林	65536	88188	3	{i=0}
-92215	一样	65536	19968	3	{a=66, ad=0, u=109}
-92216	一模一样	65536	85547	3	{i=0}
-92217	一个样	65536	85546	3	{l=1, u=0}
-92218	丁关根	65536	86466	3	{nr=24}
-92219	不怎么样	65536	85758	3	{l=0}
-92220	不变价格	65536	85751	3	{l=0}
-92221	不拘一格	65536	85773	3	{i=1}
-92222	不合格	65536	104089	1	null
-92223	不管怎样	65536	90423	3	{l=1}
-92224	偎抱	65536	20558	3	{v=0}
-92225	什么样	65536	86209	3	{r=20}
-92226	偃松	65536	20547	3	{n=0}
-92227	世外桃	65536	89902	1	null
-92228	像样	65536	20687	3	{a=3}
-92229	伞架	65536	20254	3	{n=2}
-92230	伤天	65556	20260	1	null
-92231	像模像样	65536	87388	3	{l=3}
-92232	不信任案	65536	85755	3	{n=6}
-92233	偷抗税案	65536	96790	3	{n=1}
-92234	三利	65536	19977	3	{nz=0}
-92235	伏尔加格	65545	86745	1	null
-92236	三屉桌	65536	94826	3	{n=0}
-92237	六仙桌	65536	95273	3	{n=0}
-92238	专委	65592	19987	1	null
-92239	冤假错案	65536	103706	3	{j=0}
-92240	侦察机	65536	89238	3	{n=3}
-92241	兜底	65536	20828	3	{v=0}
-92242	决议案	65536	115421	3	{n=0}
-92243	八仙桌	65536	105421	3	{n=1}
-92244	凶杀案	65536	108387	3	{n=0}
-92245	兼并案	65536	106097	3	{n=5}
-92246	农民战	67852	119257	1	null
-92247	三制	65536	19977	3	{j=0}
-92248	分子结构	65536	99908	3	{l=0}
-92249	伺机	65536	20282	3	{d=2, v=0}
-92250	分崩离析	65536	96742	3	{i=0}
-92251	专业村	65536	89236	3	{n=5}
-92252	仇敌	65536	20167	3	{n=0}
-92253	分身术	65536	138743	3	{n=0}
-92254	切菜板	65536	119537	3	{n=0}
-92255	农业局	65536	111586	3	{n=5}
-92256	刊出	65536	21002	3	{v=12, vn=0}
-92257	分析化	65912	128732	1	null
-92258	划不来	65536	100932	3	{a=0}
-92259	划得来	65536	105422	3	{v=0}
-92260	刘庄村	65536	94680	3	{ns=1}
-92261	三洞桥	65536	99135	3	{ns=0}
-92262	下花桥	65540	108844	1	null
-92263	东不压桥	65536	86923	3	{ns=0}
-92264	五孔桥	65536	107784	3	{ns=0}
-92265	五里桥	66065	121728	1	null
-92266	东大桥	65536	96841	3	{ns=0}
-92267	中高档	65536	124844	3	{b=4, j=0}
-92268	亚欧大陆桥	65536	104009	3	{n=3}
-92269	会议桌	65536	120586	3	{n=3}
-92270	不定根	65536	106027	3	{n=0}
-92271	六里桥	65536	112412	3	{ns=3}
-92272	共鸣板	65536	122919	3	{n=2}
-92273	初夜权	65536	117413	3	{n=0}
-92274	候机	65601	20505	2	{v=1, vn=0}
-92275	刨花板	65536	101923	3	{n=0}
-92276	别具一格	65536	88619	3	{i=4}
-92277	到头来	65536	104573	3	{d=2}
-92278	制海权	65536	117241	3	{n=0}
-92279	严整	65536	20005	3	{a=0}
-92280	中心校	65536	109719	3	{n=1}
-92281	刮地	65540	21038	1	null
-92282	制空权	65536	120572	3	{n=0}
-92283	农机手	65536	118018	3	{n=1}
-92284	且末	65536	19988	1	null
-92285	前三合村	65536	88633	3	{ns=0}
-92286	临县	65536	20020	3	{ns=1}
-92287	前人栽树	67120	92309	2	{i=1}
-92288	前人种树	65536	96805	3	{i=0}
-92289	一枕黄梁	65536	106180	3	{i=0}
-92290	上梁不正下梁	65537	85675	1	null
-92291	余音绕梁	65536	98055	3	{i=0}
-92292	前因后果	65536	88652	3	{i=0}
-92293	一剪梅	65536	86634	3	{nz=1}
-92294	上党梆	65548	93472	1	null
-92295	不来梅	65537	109046	2	{ns=0}
-92296	中路梆	65570	121539	1	null
-92297	侍应	65580	20365	2	{n=0}
-92298	前宋村	65536	123384	3	{ns=0}
-92299	伐树	65536	20240	3	{vn=0}
-92300	前所未	65924	125101	1	null
-92301	前所未有	65536	92300	3	{i=11}
-92302	前童村	65536	131410	3	{ns=0}
-92303	乘数	65536	20056	3	{n=0}
-92304	三副	65536	19977	3	{n=0}
-92305	出版家	65536	130418	3	{n=2}
-92306	公路桥	65536	132288	3	{n=0}
-92307	前邵村	65536	136994	3	{ns=0}
-92308	剪草机	65536	116314	3	{n=0}
-92309	前人栽	65646	120103	1	null
-92310	伸手	65536	20280	3	{v=6}
-92311	从中作梗	65536	86216	3	{i=0}
-92312	乌云	65536	20044	3	{n=2, nr=1}
-92313	剪草除根	65536	104382	3	{i=0}
-92314	剪贴板	65536	118853	3	{n=0}
-92315	割捆机	65536	99732	3	{n=0}
-92316	侦查	65637	20390	2	{v=29, vn=22}
-92317	代数根	65536	101245	3	{n=0}
-92318	割晒机	65536	100512	3	{n=0}
-92319	割草机	65536	107927	3	{n=0}
-92320	丙未	65536	19993	3	{m=0}
-92321	功夫不负有	65754	101713	1	null
-92322	加加林	65536	118815	3	{nr=0}
-92323	加里曼	68739	134987	1	null
-92324	丧服	65536	20007	3	{n=0}
-92325	动真格	65555	123131	1	null
-92326	一场春梦	65536	91685	3	{i=0}
-92327	勃勃生机	65536	95621	3	{l=7}
-92328	勃发生机	65536	95623	3	{l=1}
-92329	勃长期	65536	107932	3	{n=1}
-92330	化为乌有	65536	88879	3	{i=1}
-92331	儿童文	65678	98817	1	null
-92332	北卡罗来	65712	98146	1	null
-92333	僵持	65536	20725	3	{v=0, vn=0}
-92334	北吴村	65536	123621	3	{n=0}
-92335	北新桥	65536	128097	3	{ns=1}
-92336	北里奥格	68557	89404	1	null
-92337	修辞格	65536	115605	3	{n=0}
-92338	匣子枪	65536	89419	3	{n=0}
-92339	匹马单枪	65536	89425	3	{i=0}
-92340	十冬腊月	65536	98635	3	{i=0}
-92341	十年树木	65536	97858	3	{i=0}
-92342	亚运村	65536	111537	3	{ns=2}
-92343	半衰期	65536	135558	3	{n=0}
-92344	入境案	65536	113314	3	{n=1}
-92345	华西村	65536	131272	3	{ns=2}
-92346	卑尔根	65536	95429	3	{ns=0}
-92347	单放机	65536	129606	3	{n=0}
-92348	单片机	65536	132943	3	{n=0}
-92349	冒险性	65536	115867	3	{n=0}
-92350	佐料	65536	20304	3	{n=1}
-92351	人民报	65536	116760	3	{n=3}
-92352	乐不	65593	20048	1	null
-92353	储存	65540	20648	2	{v=6, vn=5}
-92354	南京大屠杀	65536	90909	3	{nz=0}
-92355	匿影	65537	21311	1	null
-92356	单纯林	65536	136119	3	{n=0}
-92357	冠丰	66651	20896	1	null
-92358	南岭村	65536	126817	3	{ns=0}
-92359	南柯一梦	65536	90965	3	{i=0}
-92360	南水峪村	65536	93481	3	{ns=0}
-92361	一棉	65536	19968	3	{j=0}
-92362	交换机	65536	108620	3	{n=18}
-92363	五子棋	65536	107780	3	{n=0}
-92364	南河村	65536	130919	3	{ns=5}
-92365	乐业	65536	20048	3	{v=1}
-92366	南洋杉	65536	131007	3	{n=0}
-92367	南潮村	65536	131618	3	{ns=0}
-92368	儒教	65536	20754	3	{nz=2}
-92369	博尔伦格	65536	91030	3	{ns=0}
-92370	占星术	65536	106012	3	{n=0}
-92371	占有权	65536	106246	3	{n=0}
-92372	卡宾枪	65536	114902	3	{n=0}
-92373	卡片柜	65536	120671	3	{n=0}
-92374	两手	65544	20004	2	{m=10, n=0}
-92375	十二大	65536	113465	3	{j=0}
-92376	乘方	65536	20056	3	{n=0}
-92377	十年动	69382	117537	1	null
-92378	丧权	65536	20007	1	null
-92379	乳名	65536	20083	3	{n=3}
-92380	卢沟桥	65536	99598	3	{ns=1}
-92381	千秋大	69534	125685	1	null
-92382	卷土重来	65536	102928	3	{i=1}
-92383	卷扬机	65536	113631	3	{n=1}
-92384	卸磨杀	65563	103418	1	null
-92385	历年来	65536	103851	3	{l=4}
-92386	互帮	66006	20114	1	null
-92387	历经沧桑	65536	93353	3	{i=0}
-92388	压路机	65536	128430	3	{n=0}
-92389	原原本	65978	124210	1	null
-92390	原原本本	65536	92389	3	{i=1}
-92391	原型机	65536	125214	3	{n=0}
-92392	原子结构	65536	107985	3	{n=0}
-92393	出口商	65536	122637	3	{n=3}
-92394	原峰村	65536	126595	3	{ns=0}
-92395	刮垢	65541	21038	1	null
-92396	厦门岛	65536	108417	3	{ns=0}
-92397	动力机	65536	113783	3	{n=0}
-92398	下萨克森	65536	86351	1	null
-92399	丛林	65540	19995	2	{n=2}
-92400	亚松森	65536	101215	3	{ns=0}
-92401	双十协	65732	125081	1	null
-92402	原料林	65536	128812	3	{n=0}
-92403	世界杯	65537	97124	2	{n=23, nz=1}
-92404	乱哄	65549	20081	1	null
-92405	双岭村	65536	127493	3	{ns=0}
-92406	印度共	69491	116568	1	null
-92407	双泾村	65536	131670	3	{ns=11}
-92408	双重人格	65536	91438	3	{l=0}
-92409	侍弄	65536	20365	3	{v=0}
-92410	参考书	65536	124380	3	{n=0}
-92411	反应器	65536	131131	3	{n=0}
-92412	保暖棚	65536	113251	3	{n=2}
-92413	反抗性	65536	132158	3	{n=0}
-92414	反攻倒	65539	132834	1	null
-92415	危险区	65536	123841	3	{n=0}
-92416	反文旁	65536	132910	3	{n=0}
-92417	单行本	65536	138580	3	{n=0}
-92418	反复性	65536	129716	3	{n=1}
-92419	习拳	65536	20064	3	{v=0}
-92420	反比例	65536	134523	3	{n=0}
-92421	储备棉	65536	91760	3	{n=0}
-92422	优于	65536	20248	3	{v=1}
-92423	双人床	65536	123922	3	{n=0}
-92424	反求诸己	65536	101496	3	{i=0}
-92425	俗态	65536	20439	3	{n=0}
-92426	亏本	65536	20111	3	{v=1, vd=0, vn=0}
-92427	反潜机	65536	135427	3	{n=0}
-92428	参观券	65536	126875	3	{n=0}
-92429	北极圈	65536	128562	3	{n=1, ns=0}
-92430	反犬旁	65536	136275	3	{n=0}
-92431	反目为仇	65536	92432	3	{l=0}
-92432	反目为	72264	137365	1	null
-92433	严明	65536	20005	3	{a=9, nr=1, v=0}
-92434	公务机	65536	117106	3	{n=1}
-92435	反目成仇	65536	97510	3	{i=1}
-92436	为政	65983	20026	2	{v=0}
-92437	反对党	65536	130464	3	{n=15}
-92438	反腐倡	68174	140023	1	null
-92439	反腐倡廉	65536	92438	3	{l=23}
-92440	反败为	65550	143052	1	null
-92441	反质子	65536	143055	3	{n=0}
-92442	反贪局	65536	143057	3	{j=0}
-92443	出版局	65536	130418	3	{n=3}
-92444	反过来	65671	143726	2	{d=3, v=0}
-92445	卸下	65536	21368	3	{v=4}
-92446	反面人	65592	145673	1	null
-92447	反面教材	65536	98237	3	{n=0}
-92448	反革命	65536	145680	3	{n=1}
-92449	典当	67714	20856	2	{v=0}
-92450	发光度	65536	128929	3	{n=0}
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-92452	九所	65536	20061	3	{ns=2}
-92453	交响曲	65536	104887	3	{n=7}
-92454	三包	65536	19977	3	{j=1}
-92455	发令员	65536	128316	3	{n=0}
-92456	发号施	72265	129615	1	null
-92457	凄凄	65537	20932	1	null
-92458	先进村	65536	123567	3	{n=1}
-92459	儿戏	65536	20799	3	{n=2}
-92460	卷烟机	65536	117330	3	{n=0}
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-92462	凄凉	65536	20932	3	{a=0, an=0}
-92463	冠亚	67090	20896	2	{nz=0}
-92464	乙戌	65536	20057	3	{m=0}
-92465	发善心	65536	130012	3	{l=0}
-92466	发奋图	68090	130979	1	null
-92467	单人旁	65536	123842	3	{n=0}
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-92469	发审委	65536	131577	3	{j=0}
-92470	发家史	65536	131598	3	{n=0}
-92471	三化	65536	19977	1	null
-92472	三北	65536	19977	3	{j=4}
-92473	发展中国	68996	92814	1	null
-92474	发展中国家	65536	92473	3	{l=71, n=0}
-92475	克拉斯	65570	108671	1	null
-92476	发展社会	69079	103839	1	null
-92477	发展社会学	65536	92476	3	{n=3}
-92478	乐事	65536	20048	3	{n=1}
-92479	发布会	65536	132187	3	{n=19}
-92480	军事基	65582	117991	1	null
-92481	乐于	65560	20048	2	{v=10}
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-92483	发愤图	68106	132988	1	null
-92484	发愤图强	65536	92483	3	{i=0}
-92485	为数	65982	20026	1	null
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-92487	保护主	66732	112241	1	null
-92488	发慈悲	65536	133024	3	{l=0}
-92489	发扬光	69668	133316	1	null
-92490	享有	65538	20139	2	{v=26}
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-92520	亮晃	65537	20142	1	null
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-92522	功德无	65588	110847	1	null
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-92525	取之不	68922	113744	1	null
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-92531	分配权	65536	139417	3	{n=1}
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-92533	发汗剂	65536	135855	3	{n=0}
-92534	匹敌	65536	21305	3	{v=1}
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-92536	取信于	65570	114150	1	null
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-92540	万丈高楼	65542	105177	1	null
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-92544	取景框	65536	119924	3	{n=0}
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-92552	取而代	72511	126481	1	null
-92553	决定性	65536	103113	3	{n=14}
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-92555	参考价	65536	124380	3	{n=3}
-92556	业务楼	65536	87039	3	{n=0}
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-92559	乳品	65536	20083	3	{n=4}
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-92569	买房	65536	20080	3	{v=9, vn=0}
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-92572	受精卵	65536	132732	3	{n=1}
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-92574	受害人	65536	124273	3	{n=4}
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-92576	住家	65536	20303	3	{n=1, v=1, vn=0}
-92577	千分尺	65536	115504	3	{n=0}
-92578	变化无常	65536	96627	3	{i=2}
-92579	分析员	65536	128732	3	{n=0}
-92580	变压器	65536	122262	3	{n=17}
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-92585	住宿	65579	20303	2	{v=1, vn=0}
-92586	印刷业	65536	113385	3	{n=0}
-92587	变废为	69143	125098	1	null
-92588	众多	65536	20247	3	{a=1, b=1, m=83}
-92589	亭台楼榭	65536	92542	3	{i=0}
-92590	优伶	65536	20248	3	{n=0}
-92591	但是	65536	20294	3	{c=230}
-92592	你报	65536	20320	3	{r=3}
-92593	变幻无	68464	125062	1	null
-92594	俯拾	65597	20463	1	null
-92595	他律	65536	20182	3	{v=0}
-92596	变废为宝	65536	92587	3	{l=1}
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-92598	受贿案	65536	136957	3	{n=4}
-92599	发言人	65536	143448	3	{n=67}
-92600	变异性	65536	125197	3	{n=0}
-92601	变态反	68391	125452	1	null
-92602	卢克	65545	21346	1	null
-92603	变态反应	65536	92601	3	{l=1}
-92604	变本加	71221	127287	1	null
-92605	候机楼	65536	92274	3	{n=3}
-92606	变本加厉	65536	92604	3	{i=1}
-92607	变法维新	65536	98207	3	{l=0}
-92608	三原	65538	19977	2	{ns=0}
-92609	变流器	65536	128844	3	{n=0}
-92610	变温动	65597	129076	1	null
-92611	变电器	65536	130880	3	{n=1}
-92612	变质岩	65536	137011	3	{n=0}
-92613	变速器	65536	137770	3	{n=0}
-92614	保护人	65536	112241	3	{n=0}
-92615	剥弃	65536	21093	3	{v=1}
-92616	历史剧	65536	101161	3	{n=8}
-92617	剽悍	65536	21117	3	{a=1, an=0}
-92618	厮杀	65536	21422	3	{v=1, vn=1}
-92619	为时	65547	20026	2	{v=0}
-92620	一槌	65538	19968	1	null
-92621	上万	65536	19978	3	{m=19}
-92622	变速运动	65536	107309	3	{l=0}
-92623	个案	65536	20010	3	{n=1}
-92624	上上	65688	19978	1	null
-92625	上下	65703	19978	2	{f=17, m=2, n=6, v=0, vn=0}
-92626	变阻器	65536	139334	3	{n=0}
-92627	变频器	65536	139932	3	{n=0}
-92628	叙利亚	65536	94019	3	{ns=8}
-92629	叙家常	65536	96464	3	{l=0}
-92630	刊印	65536	21002	3	{v=0}
-92631	发人深思	65536	93686	3	{l=3}
-92632	光荣榜	65536	124386	3	{n=5}
-92633	叙述体	65536	109834	3	{n=0}
-92634	叠床架	69008	96653	1	null
-92635	叠床架屋	65536	92634	3	{i=0}
-92636	叔侄	65536	21460	3	{n=1}
-92637	偶合	65536	20598	3	{n=0}
-92638	受益匪	65614	131208	1	null
-92639	口传心	67161	122297	1	null
-92640	信号枪	65536	108397	3	{n=1}
-92641	口传心授	65536	92639	3	{l=0}
-92642	位数	65536	20301	3	{n=0}
-92643	卓奥	69147	21331	1	null
-92644	口口声	69879	123516	1	null
-92645	劝业	65536	21149	3	{nz=3}
-92646	勿施	68730	21247	1	null
-92647	口口声声	65536	92644	3	{i=2}
-92648	口头文学	65536	92652	3	{n=0}
-92649	亚洲杯	65540	102675	1	null
-92650	三叉	65537	19977	2	{b=0}
-92651	口惠而实	72672	98540	1	null
-92652	口头文	69250	124877	1	null
-92653	口惠而实不	65555	92651	1	null
-92654	三反	65536	19977	3	{j=1}
-92655	住宅楼	65536	92527	3	{n=1}
-92656	上个	65539	19978	1	null
-92657	侗族	65536	20375	3	{nz=5}
-92658	冻土	65884	20923	2	{n=0}
-92659	上中	65538	19978	1	null
-92660	口是心	65579	128200	1	null
-92661	付托	65536	20184	3	{v=0}
-92662	发送器	65536	144985	3	{n=0}
-92663	口服心服	65536	92684	3	{i=0}
-92664	口若悬	65569	135550	1	null
-92665	历历在	65608	101053	1	null
-92666	先进校	65536	123567	3	{n=0}
-92667	口蜜腹剑	65536	98701	3	{i=0}
-92668	刨床	65536	21032	3	{n=0}
-92669	单工槽	65536	127725	3	{ns=0}
-92670	凡响	65536	20961	3	{n=0}
-92671	口诛笔伐	65536	97053	3	{i=0}
-92672	军用机	65536	127876	3	{n=0}
-92673	三叠	65537	19977	1	null
-92674	专守	65536	19987	3	{v=1}
-92675	保护价	65536	112241	3	{n=9}
-92676	古丈县	65536	125988	3	{ns=2}
-92677	古为今	65653	126038	1	null
-92678	古人类学	65536	97413	3	{n=3}
-92679	古今中	69874	126182	1	null
-92680	古今中外	65536	92679	3	{i=8, j=0}
-92681	古代史	65536	126207	3	{n=0}
-92682	古典主义	65536	92750	3	{n=0}
-92683	古典文学	65536	98714	3	{l=0, n=7}
-92684	口服心	66282	128422	1	null
-92685	卸任	65536	21368	3	{v=2}
-92686	剖开	65536	21078	3	{v=1}
-92687	使不	65562	20351	1	null
-92688	古北口	65536	127283	3	{n=0}
-92689	三台	65540	19977	1	null
-92690	古北新区	65536	97245	3	{ns=1}
-92691	古吉拉	65582	127525	1	null
-92692	古已有	72650	130062	1	null
-92693	古已有之	65536	92692	3	{l=1}
-92694	京剧	65583	20140	2	{n=197}
-92695	三叶	65537	19977	2	{nz=0}
-92696	古巴共	71056	130064	1	null
-92697	丰收	65555	20016	2	{n=2, nr=1, v=44, vn=27}
-92698	叙事性	65536	93093	3	{n=1}
-92699	凑和	65536	20945	3	{v=1}
-92700	古巴共和	70434	92696	1	null
-92701	临江楼	65536	98590	3	{ns=0}
-92702	上乘	65536	19978	3	{a=0, z=7}
-92703	古巴共和国	65536	92700	3	{ns=0}
-92704	削平	65536	21066	3	{v=0}
-92705	一模	65579	19968	1	null
-92706	上规模	65536	107914	3	{l=5}
-92707	初具规模	65536	100856	3	{l=6}
-92708	发生地	65536	138103	3	{n=0}
-92709	单元楼	65536	124491	3	{n=0}
-92710	古往今	66242	130460	1	null
-92711	古往今来	65536	92710	3	{i=0}
-92712	古时候	65536	132114	3	{t=0}
-92713	三合	65653	19977	1	null
-92714	保护伞	65536	112241	3	{n=3}
-92715	古板板	65536	132507	3	{z=0}
-92716	上书	65536	19978	3	{v=1, vn=0}
-92717	三同	65536	19977	3	{j=1}
-92718	像模	66701	20687	1	null
-92719	勤杂工	65536	101736	3	{n=1}
-92720	专家	65541	19987	2	{n=342}
-92721	古根汉姆	65536	93268	3	{nz=0}
-92722	口腔学	65536	135149	3	{n=0}
-92723	古浪县	65536	134022	3	{ns=1}
-92724	参议员	65536	127367	3	{n=4}
-92725	优惠权	65536	97112	3	{n=0}
-92726	人心果	65608	113610	2	{n=0}
-92727	刊发	65536	21002	3	{v=4}
-92728	古生物学	69255	94889	2	{n=1}
-92729	人行横	65552	123987	1	null
-92730	人造板	65536	125991	3	{n=3}
-92731	伟晶	65537	20255	1	null
-92732	兰摧	65551	20848	1	null
-92733	古生物学家	65536	92728	3	{n=5}
-92734	古稀之	68555	137244	1	null
-92735	古稀之年	65536	92734	3	{i=2}
-92736	似是	65592	20284	1	null
-92737	前半晌	65536	121271	3	{t=0}
-92738	丹桂	65536	20025	3	{n=0}
-92739	古色古	65539	139406	1	null
-92740	古装戏	65536	141025	3	{n=0}
-92741	古里古	68125	143336	1	null
-92742	凤城	65536	20964	3	{ns=0}
-92743	古里古怪	65536	92741	3	{z=0}
-92744	古镇村	65536	144227	3	{ns=2}
-92745	古隆中	65536	144546	3	{ns=0}
-92746	举手	65536	20030	2	{v=5, vn=0}
-92747	古马乡	65536	145544	3	{ns=0}
-92748	句子成	71755	94894	1	null
-92749	今古	65573	20170	1	null
-92750	古典主	72641	126868	1	null
-92751	丝棉	65536	19997	3	{n=0}
-92752	仇杀	65536	20167	3	{v=0, vn=1}
-92753	句子成分	65536	92748	3	{l=0}
-92754	句法树	65536	99379	3	{n=0}
-92755	厦门市	65536	108417	3	{ns=4}
-92756	另一方	65577	92815	1	null
-92757	另当别	65738	97250	1	null
-92758	另有所	67408	99224	1	null
-92759	另有所指	65536	92758	3	{l=0}
-92760	另眼看待	65536	96077	3	{i=0}
-92761	乘机	65536	20056	3	{d=5, v=1, vd=0, vn=2}
-92762	佩服	65536	20329	3	{v=4, vn=0}
-92763	只乐乡	65536	105001	3	{ns=1}
-92764	只争朝	69961	105058	1	null
-92765	刊号	65536	21002	3	{n=0}
-92766	只争朝夕	65536	92764	3	{i=3}
-92767	只字不	67216	108336	1	null
-92768	只字不提	65536	92767	3	{i=1}
-92769	丁腈橡	65536	98711	1	null
-92770	丁苯橡	65537	99134	1	null
-92771	只见树	66364	120218	1	null
-92772	只见树木	72792	92771	1	null
-92773	只见树木不	65612	92772	1	null
-92774	只见树木不见森	66257	100877	1	null
-92775	古文化	65536	132003	3	{n=0}
-92776	只见树木不见森林	65536	92774	3	{i=0}
-92777	只说不	72210	120781	1	null
-92778	上交	65536	19978	2	{v=3, vn=0}
-92779	区域性	65536	107367	3	{n=13}
-92780	只说不做	65536	92777	3	{l=1}
-92781	只身一	72628	121476	1	null
-92782	只身一人	65536	92781	3	{i=0}
-92783	叫化子	65536	107127	3	{n=0}
-92784	叫卖声	65536	107191	3	{n=2}
-92785	五斗橱	65536	110411	3	{n=0}
-92786	上京	65536	19978	3	{v=0}
-92787	刊名	65536	21002	3	{n=3}
-92788	叫好声	65536	108766	3	{n=0}
-92789	叫花子	65536	119314	3	{n=1}
-92790	叫苦不	65550	119367	1	null
-92791	今后	65536	20170	3	{t=156}
-92792	叫苦连天	65536	109639	3	{i=0}
-92793	关门打	65538	124110	1	null
-92794	召集人	65536	110258	3	{n=2}
-92795	叮呤当	70918	92881	1	null
-92796	叭儿	65539	21485	1	null
-92797	叮呤当啷	65536	92795	3	{o=0}
-92798	叮当作	71090	95680	1	null
-92799	叮当作响	65536	92798	3	{l=1}
-92800	上人	65536	19978	3	{n=0}
-92801	可不可	72605	126410	1	null
-92802	可不可以	65536	92801	3	{v=0}
-92803	可乘之	66379	126485	1	null
-92804	估摸	65536	20272	3	{v=1}
-92805	可乘之机	65536	92803	3	{i=6}
-92806	危险品	65536	123841	3	{n=1}
-92807	可亲可	66846	126575	1	null
-92808	可信度	65536	126878	3	{n=0}
-92809	可卡因	65536	127774	3	{n=1}
-92810	可亲可敬	65536	92807	3	{i=1}
-92811	可变电容	65536	98227	3	{l=0}
-92812	可变资本	65536	104386	3	{l=0}
-92813	可口可	72768	127904	1	null
-92814	发展中	70204	131757	1	null
-92815	另一	66715	21478	1	null
-92816	可口可乐	65536	92813	3	{n=2, nz=2}
-92817	变化图	65536	122145	3	{n=1}
-92818	倾吐	65536	20542	3	{v=2, vn=0}
-92819	倾向	65588	20542	2	{n=26, v=7, vn=0}
-92820	初生态	65536	124584	3	{n=0}
-92821	可可西里山	65536	102934	3	{ns=0}
-92822	可塑性	65536	129038	3	{n=0}
-92823	可怜巴巴	65536	92824	3	{z=0}
-92824	可怜巴	68771	131033	1	null
-92825	反应堆	65536	131131	3	{n=2}
-92826	厅堂	65536	21381	3	{n=1}
-92827	可惊可	71332	131207	1	null
-92828	兽性	65536	20861	3	{n=0}
-92829	可惊可叹	65536	92827	3	{l=0}
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-92831	可操作	68218	132234	1	null
-92832	出口国	65536	122637	3	{n=5}
-92833	可操作性	65536	92831	3	{n=6}
-92834	可操左券	65536	96553	3	{i=0}
-92835	发行人	65536	143012	3	{n=0}
-92836	举报	65832	20030	2	{n=0, v=23, vn=13}
-92837	可变性	65536	127893	3	{n=0}
-92838	儒术	65536	20754	3	{n=0}
-92839	可有可	66760	132806	1	null
-92840	可有可无	65536	92839	3	{l=1}
-92841	上代	65536	19978	3	{n=0}
-92842	可望而不	71356	98547	1	null
-92843	可望而不可	71394	92842	1	null
-92844	可望而不可及	65536	92843	3	{i=1, l=1, n=0}
-92845	三和	65536	19977	2	{nz=2}
-92846	倾听	65536	20542	3	{v=12, vn=0}
-92847	可歌可	65573	133897	1	null
-92848	可比价格	65536	92851	3	{l=3}
-92849	可溶性	65536	134771	3	{n=0}
-92850	可燃性	65536	135552	3	{n=0}
-92851	可比价	66164	134033	1	null
-92852	可用性	65536	136421	3	{n=0}
-92853	可的松	65536	136769	3	{n=0}
-92854	可耕地	65536	139218	3	{n=0}
-92855	可能性	65536	139450	3	{n=32}
-92856	可行性	65536	141321	3	{n=9}
-92857	可见一斑	65536	92891	3	{l=6, n=0}
-92858	可读性	65536	142264	3	{n=8}
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-92860	使人	65560	20351	1	null
-92861	可靠性	65536	145181	3	{n=7}
-92862	凌厉	65536	20940	3	{a=2}
-92863	台儿庄	65536	124882	3	{ns=1}
-92864	台前县	65536	125152	3	{ns=0}
-92865	上任	65536	19978	3	{v=22}
-92866	台北市	65536	125354	3	{ns=2}
-92867	台安县	65536	127516	3	{ns=0}
-92868	台山市	65536	127748	3	{ns=0}
-92869	台州市	65536	128113	3	{ns=4}
-92870	台柱子	65536	130692	3	{n=1}
-92871	台港澳侨	65536	94132	3	{j=3}
-92872	台联会	65536	136935	3	{j=0}
-92873	叨唠	65536	21480	3	{v=0}
-92874	台路沟乡	65536	93354	3	{ns=2}
-92875	召募	65536	21484	3	{v=0}
-92876	叱咤	65574	21489	1	null
-92877	叱咤风云	65536	104692	3	{i=3}
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-92879	印度半	67432	116568	1	null
-92880	伤害	65536	20260	2	{v=10, vn=5}
-92881	叮呤	68392	21486	1	null
-92882	优质棉	65536	108448	3	{n=0}
-92883	史学家	65536	108753	3	{n=0}
-92884	债户	65536	20538	3	{n=0}
-92885	史无前	72523	111435	1	null
-92886	史无前例	65536	92885	3	{i=0}
-92887	史论家	65536	121125	3	{n=0}
-92888	专属	65541	19987	2	{b=0}
-92889	史诗性	65536	121154	3	{n=2}
-92890	叵测之	68378	93591	1	null
-92891	可见一	66856	141694	1	null
-92892	争当	65536	20105	3	{v=0}
-92893	叵测之心	65536	92890	3	{n=0}
-92894	削弱	65536	21066	3	{v=24, vn=3}
-92895	叶公好	65536	108134	1	null
-92896	发行价	65536	143012	3	{n=0}
-92897	制造家	65536	126114	3	{n=2}
-92898	叶卡捷	65536	108635	1	null
-92899	印刷体	65536	113385	3	{n=0}
-92900	叶卡捷琳堡	65536	95283	3	{ns=1}
-92901	叶芽儿	65536	120759	3	{n=1}
-92902	上传	65691	19978	1	null
-92903	反应塔	65536	131131	3	{n=0}
-92904	严查	65536	20005	3	{v=1, vn=0}
-92905	叶落归	66226	121143	1	null
-92906	义塾	65536	20041	3	{n=0}
-92907	叶落归根	65536	92905	3	{i=0}
-92908	令人担	65539	86269	1	null
-92909	可逆反	68647	143299	1	null
-92910	凄厉	65536	20932	3	{a=0}
-92911	伤寒	65536	20260	3	{n=0}
-92912	企望	65536	20225	3	{v=2}
-92913	叶面施	65616	126044	1	null
-92914	台球城	65536	133782	3	{n=2}
-92915	叶绿体	65536	119801	3	{n=0}
-92916	为期	65985	20026	2	{v=56, vn=0}
-92917	号召书	65536	107347	3	{n=0}
-92918	号啕大	71178	107708	1	null
-92919	号啕大哭	65536	92918	3	{l=0}
-92920	号子声	65536	109239	3	{n=0}
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-92922	司乘人	71331	105528	1	null
-92923	司乘人员	65536	92922	3	{n=0}
-92924	司号员	65536	106967	3	{n=0}
-92925	京华	65536	20140	3	{j=0, nz=1}
-92926	司售人	71335	107278	1	null
-92927	司售人员	65536	92926	3	{n=0}
-92928	司寨村	65536	109000	3	{n=0}
-92929	司令员	65536	105668	3	{n=23}
-92930	司空见惯	65536	100880	3	{i=1}
-92931	司线员	65536	117919	3	{n=0}
-92932	卓有成效	65536	90860	3	{i=16}
-92933	司门前	65628	123848	1	null
-92934	叽叽	71042	21501	2	{o=0}
-92935	叮咚	65536	21486	3	{o=1}
-92936	叮咛	65536	21486	3	{v=2, vn=0}
-92937	叽叽喳喳	65536	92981	3	{o=1}
-92938	叽叽嘎嘎	65536	93072	3	{o=0}
-92939	叽里呱啦	65536	92940	3	{o=0}
-92940	叽里呱	71077	108757	1	null
-92941	叽里咕噜	65536	92976	3	{o=1}
-92942	儒林	65682	20754	1	null
-92943	似曾	65558	20284	1	null
-92944	吃一堑	65536	120695	3	{l=1}
-92945	吃刀子	65536	121719	3	{l=0}
-92946	吃劳保	65536	121898	3	{l=0}
-92947	上位	65536	19978	3	{b=0}
-92948	吃吃喝	71032	122234	1	null
-92949	吃吃喝喝	65536	92948	3	{l=1}
-92950	吃后悔	65543	122245	1	null
-92951	吃哑巴	72841	122440	1	null
-92952	吃哑巴亏	65536	92951	3	{l=0}
-92953	上体	65536	19978	3	{n=0}
-92954	吃喝嫖	65603	122644	1	null
-92955	吃喝玩乐	65536	99309	3	{i=6, l=0}
-92956	吃回扣	65536	122965	3	{l=0}
-92957	吃大户	65536	123550	3	{l=0}
-92958	吃官司	65536	124175	3	{l=1, v=1}
-92959	十进对	65848	130184	1	null
-92960	争得	65536	20105	3	{v=1}
-92961	一次	65538	19968	1	null
-92962	三番两次	65536	85634	3	{i=0}
-92963	三番五次	65536	85746	3	{i=0}
-92964	上档次	65536	99369	3	{l=4}
-92965	优良场次	65546	87880	1	null
-92966	分清主次	65536	88200	3	{l=0}
-92967	单层次	65536	127306	3	{b=0}
-92968	吃床板	65536	124929	3	{l=0}
-92969	吃现成	65544	130343	2	{l=0}
-92970	吃老本	65536	133496	3	{l=1}
-92971	军用桥	65536	127876	3	{n=0}
-92972	中东欧	65536	105200	3	{ns=15}
-92973	吃苦耐劳	65536	102935	3	{i=4}
-92974	出口型	65536	122637	3	{b=0}
-92975	付排	65536	20184	3	{v=0}
-92976	叽里咕	70833	108757	1	null
-92977	吃败仗	65536	136860	3	{l=1, v=0}
-92978	七情六欲	65536	86384	3	{i=0}
-92979	为所欲	65936	91669	1	null
-92980	从心所欲	65536	90717	3	{i=0}
-92981	叽叽喳	70998	92934	1	null
-92982	吃里扒	70177	138051	1	null
-92983	吃里扒外	65536	92982	3	{i=0}
-92984	吃里爬外	65536	97040	3	{i=0}
-92985	上佳	65536	19978	3	{a=2, b=0}
-92986	仗势欺	66081	87375	1	null
-92987	吃苦头	65536	134237	3	{v=1}
-92988	发行体	65536	143012	3	{n=0}
-92989	吃零嘴	65536	139373	3	{l=0}
-92990	分期付款	65536	88199	3	{l=1}
-92991	严格	65536	20005	3	{a=53, ad=113, an=1, d=1, v=6, vn=0}
-92992	可可树	65536	127916	3	{n=0}
-92993	吃馆子	65536	140029	3	{v=0}
-92994	吃香喝	65543	140048	1	null
-92995	句句	65536	21477	3	{q=2}
-92996	吃不住	65536	120708	3	{l=0}
-92997	叹为	65615	21497	1	null
-92998	各个击	65541	121586	1	null
-92999	各取所	65541	123038	1	null
-93000	各司其	65709	123072	1	null
-93001	俊杰	65536	20426	3	{n=1, nr=0}
-93002	各向同性	65536	93003	3	{l=0}
-93003	各向同	68387	123097	1	null
-93004	九九歌	65536	87361	3	{n=0}
-93005	各向异性	65536	95809	3	{l=0}
-93006	各奔东	65561	124444	1	null
-93007	各家各	67868	125054	1	null
-93008	云云	65536	20113	3	{u=2, v=0}
-93009	几乎	65536	20960	3	{d=111}
-93010	乌克	65573	20044	1	null
-93011	各家各户	65536	93007	3	{l=3}
-93012	卑劣	65536	21329	3	{a=2}
-93013	句号	65536	21477	3	{n=8, nr=0}
-93014	令人振	65572	86269	1	null
-93015	义士	65536	20041	3	{n=0}
-93016	各就各	72717	125177	1	null
-93017	人民政	65620	116760	1	null
-93018	各就各位	65536	93016	3	{l=1}
-93019	主题歌	65536	122923	3	{n=1}
-93020	各尽所	65544	125189	1	null
-93021	世故	65536	19990	3	{a=1, an=0, n=0}
-93022	任丘	65536	20219	3	{n=0}
-93023	千瓦时	65536	124432	3	{q=30}
-93024	各式各	66395	125911	1	null
-93025	上供	65536	19978	3	{v=0}
-93026	严令禁止	65536	96641	3	{l=4}
-93027	上梁不正	65696	85674	1	null
-93028	不仅如此	65536	88457	3	{l=3}
-93029	一步	65580	19968	1	null
-93030	一身正	65539	102059	1	null
-93031	三步并作两步	65536	85630	3	{l=1, n=0}
-93032	不分彼此	65536	89980	3	{i=0}
-93033	不务正	65722	103730	1	null
-93034	七扭八歪	65536	86389	3	{l=0}
-93035	上梁不正下梁歪	65536	92290	3	{i=0}
-93036	不可一日无此	65537	91631	1	null
-93037	不虚此	65543	116971	1	null
-93038	不过如此	65536	88460	3	{l=0}
-93039	东倒西歪	65536	100736	3	{i=0}
-93040	人同此	65554	110611	1	null
-93041	令行禁止	65536	96642	3	{i=1}
-93042	八字步	65536	108619	3	{n=0}
-93043	其身正	67722	113848	1	null
-93044	仿效	65536	20223	3	{v=2}
-93045	侵权	66515	20405	2	{v=1, vn=2}
-93046	光明正	65671	116877	1	null
-93047	乌兰	65543	20044	1	null
-93048	乌共	65536	20044	3	{j=0}
-93049	不知好歹	65536	88729	3	{i=0}
-93050	为非作歹	65536	85969	3	{i=1}
-93051	一潭死	65537	94061	1	null
-93052	冲锋枪	65536	124205	3	{n=1}
-93053	决无此	67903	105743	1	null
-93054	出生入死	65536	88888	3	{i=1}
-93055	到此为止	65536	88604	3	{l=0}
-93056	乌兹	65538	20044	1	null
-93057	匡正	65536	21281	3	{v=1, vn=0}
-93058	十痨九死	65536	89480	3	{l=0}
-93059	一本正	65537	91948	1	null
-93060	人造棉	65536	125991	3	{n=0}
-93061	兰新	65536	20848	3	{j=0}
-93062	养殖户	65536	110933	3	{n=1}
-93063	决一死	65635	99631	1	null
-93064	伦次	65536	20262	3	{n=0}
-93065	即使如此	65536	91194	3	{l=0}
-93066	众寡悬殊	65536	90286	3	{i=0}
-93067	压轴戏	65536	128819	3	{n=2}
-93068	叹为观止	65536	100881	3	{i=5}
-93069	叹观止	65536	108237	1	null
-93070	令人捧	65536	86269	1	null
-93071	乱坟	65537	20081	1	null
-93072	叽叽嘎	70908	92934	1	null
-93073	俺村	65536	20474	3	{r=4}
-93074	各式各样	65536	93024	3	{l=5}
-93075	亭榭	65538	20141	1	null
-93076	互惠	65538	20114	2	{v=4, vn=1}
-93077	各得其	67931	126047	1	null
-93078	两性生殖	65536	95719	3	{l=0}
-93079	习文	65536	20064	3	{v=0}
-93080	出芽生殖	65536	95604	3	{l=0}
-93081	分裂生殖	65536	98165	3	{l=0}
-93082	叶块繁殖	65536	97861	3	{l=0}
-93083	各得其所	65536	93077	3	{i=1}
-93084	京叭	65536	20140	3	{nz=0}
-93085	各执一	65726	126767	1	null
-93086	叽咕	65536	21501	3	{v=0}
-93087	各抒己	65617	126810	1	null
-93088	各持己	65618	126921	1	null
-93089	各显其	65547	127750	1	null
-93090	各有利弊	65536	93197	3	{i=0}
-93091	各有所好	65536	97316	3	{i=0}
-93092	各种各	66415	132757	1	null
-93093	叙事	68083	21465	2	{v=0, vn=0}
-93094	各种各样	65536	93092	3	{l=13}
-93095	各自为	67984	134834	1	null
-93096	各自为战	65536	93095	3	{i=2}
-93097	举措	65536	20030	3	{n=60, vn=0}
-93098	各色人	65572	134970	1	null
-93099	各行各业	65536	93772	3	{l=15}
-93100	各谋其	67182	137427	1	null
-93101	各谋其政	65536	93100	3	{l=0}
-93102	各行其事	65536	93118	3	{l=0}
-93103	各负其	65647	137703	1	null
-93104	估斤	65537	20272	1	null
-93105	吆喝	70338	21510	2	{v=3, vn=2}
-93106	吆喝声	65536	93105	3	{n=1}
-93107	分析器	65536	128732	3	{n=0}
-93108	合不拢嘴	65536	93115	3	{l=1}
-93109	不择手段	65536	90708	3	{i=2}
-93110	分钟时段	65536	91775	3	{n=1}
-93111	切实有	67073	109235	1	null
-93112	初级阶段	65662	106734	1	null
-93113	劳动手段	65536	107478	3	{l=0}
-93114	佯死	65536	20335	3	{v=0}
-93115	合不拢	71040	126754	1	null
-93116	功成引	65544	111448	1	null
-93117	合二而一	65536	98574	3	{l=0}
-93118	各行其	72995	136468	1	null
-93119	亦步	66022	20134	1	null
-93120	优先	65630	20248	2	{a=0, ad=0, d=2, v=66, vd=0, vn=10}
-93121	保和殿	65536	108633	3	{ns=0}
-93122	合伙人	65536	127022	3	{n=0}
-93123	合口味	65536	128248	3	{a=1}
-93124	叔公	65536	21460	3	{n=0}
-93125	合家欢	65536	130251	3	{n=0}
-93126	北伐战	68801	122305	1	null
-93127	合唱团	65536	128582	3	{n=10}
-93128	乡政	65550	20065	1	null
-93129	七步	65555	19971	1	null
-93130	合得来	65536	131244	3	{v=0}
-93131	党政机	66656	111452	1	null
-93132	合情合	65558	131546	1	null
-93133	严父慈母	65536	90440	3	{l=1}
-93134	七歪	65548	19971	1	null
-93135	伯祖母	65536	98492	3	{n=0}
-93136	公分母	65536	116951	3	{n=0}
-93137	养父母	65536	112629	3	{j=0}
-93138	人莫予毒	65536	86203	3	{i=0}
-93139	互感	65561	20114	1	null
-93140	产量比	65536	110669	3	{n=0}
-93141	今非昔比	65536	91670	3	{i=1}
-93142	以毒攻毒	65536	91451	3	{i=0}
-93143	内罗毕	65536	130037	3	{n=0, ns=4}
-93144	丈母	65536	19976	2	{n=0}
-93145	再生父母	65536	97126	3	{l=0}
-93146	凶相毕	65540	112411	1	null
-93147	一毛	65570	19968	1	null
-93148	丑态毕	65537	90327	1	null
-93149	九牛一毛	65536	86054	3	{i=0}
-93150	兑换	66454	20817	2	{v=25, vn=2}
-93151	义女	65536	20041	3	{n=0}
-93152	加勒比	65553	118865	2	{ns=2}
-93153	加油机	65536	125496	3	{n=0}
-93154	匀实	65536	21248	3	{a=0}
-93155	依从	65536	20381	3	{v=0}
-93156	千里鹅毛	65536	110981	3	{i=0}
-93157	原形毕	65542	127221	1	null
-93158	双学双比	65536	92573	3	{j=6}
-93159	世族	65536	19990	3	{n=0}
-93160	叔祖母	65536	103342	3	{n=0}
-93161	合众国	65536	127020	3	{j=0}
-93162	合成染料	65536	99199	3	{l=0}
-93163	一丝一毫	65536	85506	3	{i=1}
-93164	依仗	65536	20381	3	{v=0}
-93165	合法化	65536	134634	3	{v=0, vn=2}
-93166	合格品	65536	133457	3	{n=1}
-93167	万死	65642	19975	1	null
-93168	合瓣花冠	65536	99004	3	{l=0}
-93169	合纵连横	65536	102398	3	{i=1}
-93170	合而为	73203	139553	1	null
-93171	合而为一	65536	93170	3	{i=0}
-93172	合肥市	65536	139706	3	{ns=13}
-93173	合订本	65536	142519	3	{n=0}
-93174	北爱尔	68552	131298	1	null
-93175	合资企	73184	142937	1	null
-93176	众学	65570	20247	1	null
-93177	临场	65546	20020	2	{b=0, d=0}
-93178	合资企业	65536	93175	3	{n=9}
-93179	合议制	65536	142531	3	{n=0}
-93180	仁政	65536	20161	3	{n=0}
-93181	合运动	65536	143589	3	{n=0}
-93182	合速度	65536	143668	3	{n=0}
-93183	人民日	65536	116760	1	null
-93184	任人	65541	20219	1	null
-93185	合阳县	65536	145224	3	{ns=0}
-93186	吉人天	65619	113684	1	null
-93187	吉安县	65536	116963	3	{ns=0}
-93188	吉尔吉	67160	117102	1	null
-93189	切尔诺比	65689	101433	1	null
-93190	传动比	65536	105586	3	{n=0}
-93191	吉尔吉斯	72627	93188	2	{ns=1}
-93192	吉尔吉斯共和	70927	93476	1	null
-93193	可信性	65536	126878	3	{n=0}
-93194	吃得住	65536	125198	3	{l=0}
-93195	冈比	67623	20872	1	null
-93196	吉尔吉斯共和国	65536	93192	3	{ns=0}
-93197	各有利	68760	127953	1	null
-93198	十二属	65591	113465	2	{n=0}
-93199	乐百氏	65542	102705	2	{nz=0}
-93200	克雅氏	65546	121979	1	null
-93201	东交民	65537	94150	1	null
-93202	中华人民	65563	86010	1	null
-93203	中国人民	65540	85987	1	null
-93204	一气	65549	19968	2	{d=0, u=0}
-93205	一口气	65536	87011	3	{d=2, n=2}
-93206	一团和气	65536	87181	3	{i=0}
-93207	一身正气	65536	93030	3	{l=4}
-93208	一鼓作气	65536	85852	3	{i=1}
-93209	不景气	65536	108800	3	{a=11}
-93210	中央人民	65536	86291	1	null
-93211	串通一气	65536	85945	3	{i=0}
-93212	乌烟瘴气	65536	95796	3	{i=0}
-93213	乡规民	65546	102477	1	null
-93214	书卷气	65536	105180	3	{n=0}
-93215	亲家母	65536	98962	3	{n=0}
-93216	仁以恤民	65536	90213	3	{l=1}
-93217	低声下气	65536	86512	3	{i=0}
-93218	京味	65536	20140	3	{n=3}
-93219	保军转民	65536	102263	3	{l=2}
-93220	世昌	65536	19990	3	{nz=0}
-93221	乡土气	65537	89512	1	null
-93222	傻里傻气	65536	87387	3	{z=0}
-93223	一氧	65538	19968	1	null
-93224	党政军民	65536	87596	3	{j=5}
-93225	军警民	65536	133570	3	{j=1}
-93226	冠冕	65539	20896	2	{n=0}
-93227	冷暖空气	65536	96907	3	{j=0}
-93228	冷空气	65536	123523	3	{n=39}
-93229	半殖民	68196	128172	1	null
-93230	卖力气	65536	110676	3	{l=0}
-93231	压缩空气	65536	98615	3	{l=0}
-93232	冠军	65718	20896	2	{n=112, nr=0}
-93233	发脾气	65536	141206	3	{v=0}
-93234	十一月	65536	113325	3	{t=17}
-93235	取信于民	65536	92536	3	{l=1}
-93236	一水	65550	19968	1	null
-93237	一潭死水	65536	93051	3	{i=0}
-93238	一衣带水	65536	89640	3	{i=2}
-93239	一败如水	65536	88452	3	{i=0}
-93240	一劳永	65536	86707	1	null
-93241	三点水	65536	100058	3	{n=0}
-93242	不服水	65537	108958	1	null
-93243	以水救水	65536	91474	3	{i=0}
-93244	供排水	65536	98893	3	{j=0}
-93245	依山傍水	65536	86661	3	{i=1}
-93246	军民鱼水	65539	107133	1	null
-93247	农田水	66929	121592	1	null
-93248	傲气	65536	20658	3	{a=0, n=0}
-93249	冰态水	65536	116486	3	{n=0}
-93250	供不应求	65536	89786	3	{i=8}
-93251	供大于求	65536	86652	3	{l=3}
-93252	供过于求	65536	86658	3	{l=3}
-93253	冷热水	65536	121078	3	{n=1}
-93254	凝结水	65536	101466	3	{n=0}
-93255	凫水	65536	20971	3	{v=0}
-93256	刻舟求	67553	112964	1	null
-93257	光身汉	65536	127274	3	{n=0}
-93258	加气水	65555	125331	1	null
-93259	伏天	65536	20239	3	{t=0}
-93260	两旁	65536	20004	3	{f=15}
-93261	十八罗汉	65536	98152	3	{l=1}
-93262	十滴水	65536	121761	3	{n=0}
-93263	单身汉	65536	140211	3	{n=0}
-93264	卖友求	65538	110980	1	null
-93265	双氧水	65536	131455	3	{n=0}
-93266	六盘水	65536	105512	3	{ns=1}
-93267	叠罗汉	65536	105050	3	{v=0}
-93268	古根汉	69739	132693	1	null
-93269	吉尔吉斯斯坦	65536	98658	3	{ns=8}
-93270	吉尼斯	65536	117142	3	{nr=1, nz=14}
-93271	厉声	65536	21385	3	{d=1}
-93272	几何	67862	20960	2	{n=1}
-93273	吉布提	65536	117597	3	{ns=1}
-93274	吉林市	65536	120049	3	{ns=12}
-93275	合同制	65536	128289	3	{n=0}
-93276	吉水县	65536	121230	3	{ns=1}
-93277	卖身投	65570	126052	1	null
-93278	吉泊村	65536	121380	3	{ns=0}
-93279	倒海翻江	65536	98302	3	{i=0}
-93280	五大连池	65536	102979	3	{ns=0}
-93281	冤大	65721	20900	1	null
-93282	化粪池	65536	120212	3	{n=0}
-93283	华清池	65536	124238	3	{ns=1}
-93284	三鲜汤	65536	111293	3	{n=0}
-93285	写字楼	65536	100330	3	{n=5}
-93286	南盘江	65536	133516	3	{ns=4}
-93287	吉祥如意	65536	93318	3	{l=4}
-93288	专差	65536	19987	3	{n=0}
-93289	吉赛尔	65536	129717	3	{nz=0}
-93290	吉隆坡	65536	132064	3	{ns=2}
-93291	一片汪	65536	94791	1	null
-93292	吉首市	65536	132848	3	{ns=3}
-93293	删改	65536	21024	3	{v=0, vn=1}
-93294	冤头	65536	20900	3	{n=0}
-93295	吉马良斯	65536	98970	3	{ns=0}
-93296	功利性	65536	107377	3	{n=0}
-93297	单淘汰	69583	131808	1	null
-93298	吊儿郎当	65536	102607	3	{l=0}
-93299	众寡	65538	20247	1	null
-93300	千家峒	65536	117984	3	{ns=0}
-93301	优胜劣汰	65536	86751	3	{l=5}
-93302	东帝汶	65536	98111	3	{n=0}
-93303	吊嗓子	65536	119422	3	{v=0}
-93304	吊民伐	65616	125116	1	null
-93305	吊胃口	65536	130414	3	{l=0}
-93306	吊脚楼	65536	130501	3	{n=1}
-93307	半壁江	65898	123351	1	null
-93308	吊膀子	65536	130603	3	{l=0}
-93309	一汽	65536	19968	3	{j=3}
-93310	吊袜带	65536	132423	3	{n=0}
-93311	保护关	65543	112241	1	null
-93312	刁民	65536	20993	3	{n=0}
-93313	住店	65536	20303	3	{v=1, vn=0}
-93314	出冷汗	65536	122081	3	{v=0}
-93315	东斯拉沃	65536	90826	1	null
-93316	依波沃	65646	100855	1	null
-93317	万民	65536	19975	3	{n=1}
-93318	吉祥如	68440	124607	1	null
-93319	同业公	73075	129297	1	null
-93320	卖国求	65539	111798	1	null
-93321	与世浮沉	65536	93577	3	{i=0}
-93322	典押	65536	20856	3	{vn=0}
-93323	劲头	65536	21170	3	{n=7}
-93324	同一个	65536	129271	3	{b=0, m=0, r=1}
-93325	同业公会	65536	93319	3	{l=0}
-93326	同义字	65536	129344	3	{n=0}
-93327	同仁堂	65536	129464	3	{nz=3}
-93328	历史唯	65575	101161	1	null
-93329	同仇敌	68757	129470	1	null
-93330	卓尔	70622	21331	1	null
-93331	同仇敌忾	65536	93329	3	{i=0}
-93332	人工气	65539	113132	1	null
-93333	同呼吸	72492	130931	2	{l=3}
-93334	中外比	65536	108010	3	{n=0}
-93335	不知死	65537	113270	1	null
-93336	产业	65855	20135	2	{n=559, vn=0}
-93337	一盘散沙	65536	91491	3	{i=0}
-93338	久经沙	65542	98539	1	null
-93339	任何	66132	20219	2	{d=1, r=221}
-93340	利君沙	65536	110514	3	{nz=0}
-93341	同呼吸共	71732	93333	1	null
-93342	叮嘱	65536	21486	3	{v=7, vn=0}
-93343	三盖沟	65542	101623	1	null
-93344	九寨沟	65536	90828	3	{ns=0}
-93345	全军覆没	65536	100751	3	{i=0}
-93346	乐凯	65536	20048	3	{nz=1}
-93347	公寓楼	65536	119460	3	{n=0}
-93348	与世沉	65537	85858	1	null
-93349	判若鸿沟	65536	109087	3	{i=0}
-93350	功不可没	65536	88702	3	{i=10}
-93351	出口处	65536	122637	3	{n=0, s=1}
-93352	万水	65556	19975	1	null
-93353	历经沧	65682	112134	1	null
-93354	台路沟	72809	140418	1	null
-93355	产中	65536	20135	3	{t=1}
-93356	军事学	65536	117991	3	{n=0}
-93357	变化多	65540	122145	1	null
-93358	匪夷	65670	21290	1	null
-93359	发达国	69041	144918	1	null
-93360	与此	65550	19982	1	null
-93361	同呼吸共命	65605	93341	1	null
-93362	依依	66683	20381	2	{z=3}
-93363	七台河	65536	87124	3	{n=0}
-93364	万泉河	65536	93501	3	{ns=1}
-93365	七星河	65536	91779	3	{ns=0}
-93366	下小河	65558	98954	1	null
-93367	亚马孙河	65536	88962	3	{ns=0}
-93368	人声鼎沸	65536	106256	3	{i=1}
-93369	万金油	65536	102981	3	{n=2}
-93370	乌油油	65536	100032	3	{z=0}
-93371	中共中央政治	65537	91456	1	null
-93372	中国人民政治	65562	91459	1	null
-93373	三明治	65536	97327	3	{n=2, nz=0}
-93374	人造石油	65536	96942	3	{l=0}
-93375	份额油	65536	104761	3	{n=1}
-93376	伊图里河	65536	102884	3	{ns=0}
-93377	信口开河	65536	89863	3	{i=1}
-93378	伏尔加河	65536	86745	3	{ns=0}
-93379	不顾死	65540	121615	1	null
-93380	克里雅河	65536	104143	3	{ns=0}
-93381	内流河	65536	125407	3	{n=0}
-93382	冷水江	65782	119869	2	{ns=0}
-93383	凉水河	65536	109555	3	{ns=0}
-93384	供不	65574	20379	1	null
-93385	内外援	65536	120244	3	{j=1}
-93386	利益均沾	65536	88318	3	{i=0}
-93387	励精图治	65536	88800	3	{i=3}
-93388	内分泌	65539	118436	2	{n=2}
-93389	北仑河	67429	122242	1	null
-93390	北戴河	65536	127205	3	{ns=1}
-93391	半壁河	66827	123351	1	null
-93392	九旬	65536	20061	3	{m=1}
-93393	南京城	65536	123232	3	{ns=0}
-93394	南阳村	65536	141543	3	{ns=0}
-93395	双柳河	65536	130379	3	{ns=0}
-93396	口若悬河	65536	92664	3	{i=0}
-93397	三段论法	65536	101309	3	{n=0}
-93398	不成文法	65536	91608	3	{l=0}
-93399	不二法	65539	102685	1	null
-93400	二分法	65536	99136	3	{n=0}
-93401	专利法	65536	90275	3	{n=0}
-93402	以身试法	65536	101760	3	{i=1}
-93403	价格法	65536	93594	3	{n=14}
-93404	优选法	65536	109185	3	{n=0}
-93405	乙方	65536	20057	3	{n=8}
-93406	保守疗法	65536	96851	3	{n=0}
-93407	伴星	65536	20276	3	{n=0}
-93408	党纪国法	65536	87904	3	{l=8}
-93409	充气灯泡	65536	94484	3	{l=0}
-93410	一波	65576	19968	1	null
-93411	七星泡	65536	91779	3	{nz=0}
-93412	云谲波	65536	108785	1	null
-93413	公检法	66116	122769	2	{j=0}
-93414	冲突法	65536	117411	3	{n=0}
-93415	习惯法	65536	91903	3	{n=0}
-93416	全神贯注	65536	101682	3	{i=0}
-93417	中短波	65536	115905	3	{n=0}
-93418	凄然泪	68081	100507	1	null
-93419	减色法	65536	119885	3	{n=0}
-93420	凝神专注	65536	88088	3	{l=0}
-93421	亚麻油	65536	115356	3	{n=0}
-93422	出水才看两腿泥	65536	98692	3	{l=1, n=0}
-93423	出污泥	65649	128907	1	null
-93424	分米波	65536	134079	3	{n=0}
-93425	刑事诉讼法	65536	101424	3	{n=45}
-93426	判若云泥	65536	88689	3	{i=0}
-93427	削铁如泥	65536	88632	3	{i=0}
-93428	刮宫	65536	21038	3	{v=0}
-93429	供油泵	65536	101236	3	{n=0}
-93430	割接法	65536	99827	3	{n=0}
-93431	俭汤	66726	20461	2	{ns=0}
-93432	加气水泥	65536	93258	3	{l=0}
-93433	为人注	65550	86671	1	null
-93434	劳工法	65536	112033	3	{n=0}
-93435	一泻	65540	19968	1	null
-93436	军事家	65536	117991	3	{n=11}
-93437	印制法	65536	113384	3	{n=1}
-93438	亏欠	65536	20111	3	{v=0}
-93439	募捐	65536	21215	3	{v=1, vn=6}
-93440	压缩疗法	65536	97364	3	{l=0}
-93441	冰清玉洁	65536	95130	3	{i=1}
-93442	厘米波	65536	97397	3	{n=0}
-93443	反垄断法	65536	91883	3	{n=3}
-93444	反托拉斯法	65536	91911	3	{n=1}
-93445	反证法	65536	142696	3	{n=0}
-93446	变戏法	65536	125978	3	{v=0, vn=0}
-93447	买断	65536	20080	3	{v=3, vn=0}
-93448	可歌可泣	65536	92847	3	{i=5}
-93449	上元	65536	19978	1	null
-93450	乔治	65539	20052	1	null
-93451	一片汪洋	65536	93291	3	{i=2}
-93452	冷冻机	65536	113092	3	{n=0}
-93453	北冰洋	65536	122977	3	{ns=4}
-93454	北大西洋	65536	104508	3	{ns=0}
-93455	上光	65540	19978	2	{v=0}
-93456	召唤	65536	21484	3	{v=0, vn=1}
-93457	伪币	65536	20266	3	{n=0}
-93458	儿时	65536	20799	3	{t=5}
-93459	买方	65536	20080	3	{n=19}
-93460	压力感	65536	113242	3	{n=0}
-93461	伯斯	65536	20271	3	{n=0}
-93462	修正案	65536	106330	3	{n=1}
-93463	一贫如洗	65536	88453	3	{i=0}
-93464	以泪洗	65542	111015	1	null
-93465	合成石油	65536	103327	3	{l=0}
-93466	合理合法	65536	93720	3	{l=1}
-93467	优劣	65536	20248	3	{n=5}
-93468	体育法	65536	117904	3	{n=1}
-93469	内陆河	65536	135908	3	{n=1}
-93470	三国	65536	19977	2	{nr=0, nz=1, t=5}
-93471	二青洞	65536	116876	3	{ns=0}
-93472	上党	65536	19978	1	null
-93473	专座	65536	19987	3	{n=0}
-93474	云水洞	65536	100595	3	{ns=0}
-93475	全国政	66214	114351	1	null
-93476	吉尔吉斯共	71548	93191	1	null
-93477	凉津津	65536	109796	3	{z=0}
-93478	合理化	65536	136475	3	{v=0, vn=3}
-93479	各有千	65577	127953	1	null
-93480	同学录	65536	132701	3	{n=0}
-93481	南水峪	65911	130792	1	null
-93482	同室操	68388	132763	1	null
-93483	反射定	67440	130475	1	null
-93484	同室操戈	65536	93482	3	{i=0}
-93485	同化作	65657	130573	1	null
-93486	同工异曲	65536	96295	3	{i=0}
-93487	他指	65536	20182	3	{n=0}
-93488	同床共	67075	133505	1	null
-93489	同工同	65536	133340	1	null
-93490	上梅洲	65545	99403	1	null
-93491	中美洲	65536	117858	3	{ns=7}
-93492	以身殉	65536	119656	1	null
-93493	北美洲	65536	134719	3	{ns=2}
-93494	南美洲	65536	135746	3	{ns=1}
-93495	优势	65536	20248	3	{an=1, n=275, v=0}
-93496	剑客	65536	21073	3	{n=0}
-93497	举止洒	65536	95073	1	null
-93498	三角洲	65536	106483	3	{n=7}
-93499	不死不活	65536	85778	3	{i=0}
-93500	不知死活	65536	93335	3	{i=0}
-93501	万泉	65537	19975	1	null
-93502	一派	65536	19968	3	{b=28, n=0}
-93503	不顾死活	65536	93379	3	{i=0}
-93504	亲日派	65536	101569	3	{n=1}
-93505	一流	65536	19968	3	{b=48}
-93506	万世流	65536	85642	1	null
-93507	三教九流	65536	85629	3	{i=1}
-93508	不入流	65536	103414	3	{l=0}
-93509	中子流	65536	108580	3	{n=0}
-93510	亲英派	65536	109005	3	{n=3}
-93511	人才外流	65536	88441	3	{l=0}
-93512	乐天派	65536	95196	3	{n=0}
-93513	从善如流	65536	88455	3	{i=1}
-93514	仅次	66102	20165	1	null
-93515	人心叵测	65536	87695	3	{i=0}
-93516	从谏如流	65536	88456	3	{i=0}
-93517	付之东流	65536	86265	3	{i=0}
-93518	专属经济	65536	98004	1	null
-93519	个体经济	65536	98012	3	{l=1}
-93520	万古流	65537	87128	1	null
-93521	中华民	65542	106530	1	null
-93522	上册	65536	19978	3	{n=0}
-93523	人才济济	65536	93617	3	{i=1}
-93524	亚太经济	65536	98497	3	{j=2}
-93525	丽水	65561	20029	2	{ns=0}
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-93527	付诸东流	65536	86240	3	{i=2}
-93528	以防不测	65536	86283	3	{l=0}
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-93533	假公济	65544	105637	1	null
-93534	催人泪	67398	95392	1	null
-93535	傣族	65536	20643	3	{nz=15}
-93536	先锋派	65536	124895	3	{n=0}
-93537	养家活	66239	106869	1	null
-93538	供产	65539	20379	1	null
-93539	依偎	65536	20381	3	{v=5}
-93540	刚柔并济	65536	89912	3	{i=0}
-93541	刚柔相济	65536	96186	3	{i=0}
-93542	利物浦	65536	118272	3	{ns=0, nz=0}
-93543	力气活	65536	112780	3	{n=1}
-93544	加朗派	65536	124054	3	{nz=0}
-93545	二连浩	65539	114968	1	null
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-93548	劈风斩浪	65536	91564	3	{l=0}
-93549	劫富济	65576	97466	1	null
-93550	七级浮	65536	98059	1	null
-93551	与世沉浮	65536	93348	3	{i=0}
-93552	乌兰浩	65538	93047	1	null
-93553	丝毫	65898	19997	2	{a=0, m=14, n=0}
-93554	乍浦	65536	20045	3	{ns=2}
-93555	伶仃洋	65536	86507	3	{ns=0}
-93556	伯明	65536	20271	1	null
-93557	半死不活	65536	90514	3	{i=0}
-93558	光电池	65536	120756	3	{n=0}
-93559	五洲四海	65536	87785	3	{n=0}
-93560	五湖四海	65536	87786	3	{i=2}
-93561	人山人海	65536	86178	3	{i=2}
-93562	什刹海	65536	87218	3	{ns=3}
-93563	乡曲	65536	20065	3	{n=0}
-93564	侯门如海	65536	88473	3	{i=0}
-93565	中南海	65536	106539	3	{ns=37}
-93566	八仙过海	66061	102350	2	{i=1}
-93567	倾国	66755	20542	1	null
-93568	丽江	65583	20029	2	{ns=4}
-93569	上冻	65536	19978	3	{v=0}
-93570	一塌糊涂	65536	97482	3	{i=0}
-93571	冤沉海	65625	98243	1	null
-93572	一败涂	65538	101669	1	null
-93573	凉浸浸	65536	109879	3	{z=0}
-93574	刀山火海	65536	95894	3	{i=0}
-93575	乱套	65536	20081	3	{v=1}
-93576	加勒比海	65536	93152	3	{ns=0}
-93577	与世浮	65536	85858	1	null
-93578	了不相涉	65536	96005	3	{l=0}
-93579	匿迹海	66635	104779	1	null
-93580	务实	65536	21153	3	{v=35, vn=8}
-93581	南中国海	65536	90886	3	{ns=0}
-93582	优化	65536	20248	3	{v=75, vd=0, vn=29}
-93583	印象派	65536	128275	3	{n=0}
-93584	卷帙浩	65539	112524	1	null
-93585	反动派	65536	128079	3	{n=5}
-93586	反潮流	65536	135445	3	{v=0}
-93587	受益匪浅	65536	92638	3	{i=0, l=1}
-93588	变化莫测	65536	104254	3	{i=0}
-93589	变幻莫测	65536	100220	3	{i=1, l=0}
-93590	勘查	65536	21208	3	{v=2, vn=4}
-93591	叵测	72847	21493	1	null
-93592	同床共枕	65536	93488	3	{i=0, l=0}
-93593	同床异梦	65536	96961	3	{i=0}
-93594	价格	65542	20215	2	{c=0, n=507, nz=0}
-93595	同归于	69983	133705	1	null
-93596	同归于尽	65536	93595	3	{i=0}
-93597	借酒消	65537	119711	1	null
-93598	同心协力	65536	93605	3	{i=9}
-93599	北京城	65536	122205	3	{n=3}
-93600	叩响	65536	21481	3	{v=0}
-93601	同心同德	65536	93794	3	{i=2}
-93602	依傍	65536	20381	3	{v=1}
-93603	叠加	65536	21472	3	{v=1, vn=1}
-93604	凝思	65536	20957	3	{v=0}
-93605	同心协	72451	133818	1	null
-93606	万洲	65537	19975	1	null
-93607	净利润	65536	94535	3	{n=1}
-93608	同性恋	65538	133918	2	{v=1, vn=0}
-93609	同恶相济	65536	96082	3	{i=0}
-93610	同情心	65536	134076	3	{n=1}
-93611	丧气	65536	20007	3	{a=1}
-93612	同方向	65536	135344	3	{n=1}
-93613	同时代	65536	135405	3	{n=0}
-93614	同步卫	67472	136796	1	null
-93615	同步卫星	65536	93614	3	{n=2}
-93616	一望无涯	65536	91620	3	{i=0}
-93617	人才济	65541	114260	1	null
-93618	乳浊液	65536	98840	3	{n=0}
-93619	五粮液	65536	116322	3	{n=0, nz=0}
-93620	分子溶液	65536	95783	3	{l=0}
-93621	万流	65536	19975	1	null
-93622	参观团	65536	126875	3	{n=1}
-93623	了此	66115	20102	1	null
-93624	同母兄	69275	136900	1	null
-93625	兜揽	65536	20828	3	{v=0}
-93626	同母兄弟	65536	93624	3	{n=0}
-93627	同流合	65884	137272	1	null
-93628	义子	65536	20041	3	{n=0}
-93629	同流合污	65536	93627	3	{i=0}
-93630	同温层	65536	137504	3	{n=0}
-93631	同甘共	65548	139279	1	null
-93632	同病相怜	65536	96084	3	{i=0}
-93633	人工流	66044	113132	1	null
-93634	同等学	72495	140864	1	null
-93635	匆忙	65536	21254	3	{a=3, ad=3, an=0}
-93636	同类题材	65536	104726	3	{n=1}
-93637	净产	67510	20928	1	null
-93638	同舟共	65658	142614	1	null
-93639	券桥	68551	21048	1	null
-93640	同舟共济	65536	93638	3	{i=2}
-93641	伴有	65536	20276	3	{v=2}
-93642	同等学力	65536	93634	3	{n=0}
-93643	冰淇淋	65536	120012	3	{n=2}
-93644	同苦共	73597	142813	1	null
-93645	同苦共乐	65536	93644	3	{l=1}
-93646	临夏	65536	20020	3	{ns=0}
-93647	同行业	65536	144195	3	{b=14}
-93648	同路人	65536	145638	3	{n=0}
-93649	同龄人	65536	150139	3	{n=3}
-93650	义学	65536	20041	3	{n=0}
-93651	反射层	65536	130475	3	{n=0}
-93652	名下无	65538	132212	1	null
-93653	名不副实	65536	93731	3	{i=0}
-93654	九曲	65539	20061	1	null
-93655	上刑	65536	19978	3	{v=0}
-93656	乌发	65536	20044	3	{n=0}
-93657	印花机	65536	125795	3	{n=0}
-93658	乡村	65536	20065	3	{n=57}
-93659	冷水浴	65536	119869	3	{n=0}
-93660	同音字	65536	148202	3	{n=0}
-93661	上列	65536	19978	3	{b=1}
-93662	名不符实	65536	104154	3	{i=1}
-93663	名不虚传	65536	107022	3	{i=1}
-93664	名不见经传	65536	98242	3	{l=5, n=0}
-93665	内陆海	65536	135908	3	{n=0}
-93666	勤政殿	65536	101221	3	{ns=0}
-93667	名专栏	65536	132220	3	{n=0}
-93668	名义工	65616	132274	1	null
-93669	名列前	65539	133248	1	null
-93670	倡议权	65536	101300	3	{n=0}
-93671	名利双	67764	133266	1	null
-93672	厅子	65536	21381	3	{n=0}
-93673	充任	65536	20805	3	{v=0}
-93674	名利双收	65536	93671	3	{i=0}
-93675	名副其	70223	133336	1	null
-93676	九月	65536	20061	3	{t=4}
-93677	名副其实	65536	93675	3	{i=3}
-93678	仰望	65536	20208	3	{v=4}
-93679	名古屋	65536	133709	3	{ns=0}
-93680	争执	65536	20105	3	{v=5, vn=2}
-93681	一往情深	65536	90316	3	{i=2}
-93682	万丈深	65536	85628	1	null
-93683	临头	65536	20020	3	{v=1}
-93684	军民鱼水深	65548	93246	1	null
-93685	博大精深	65536	97484	3	{i=6}
-93686	发人深	68026	128274	1	null
-93687	压缩机	65536	124648	3	{n=1}
-93688	名噪一	67587	134355	1	null
-93689	名噪一时	65536	93688	3	{l=0}
-93690	名垂千	72216	134635	1	null
-93691	加枝添	67251	124188	1	null
-93692	名垂千古	65536	93690	3	{i=0}
-93693	别有洞	65758	111824	1	null
-93694	名垂青史	65536	111113	3	{i=1}
-93695	名声大振	65536	93699	3	{l=2}
-93696	书生气	65536	113796	3	{n=0}
-93697	乐华	65536	20048	3	{nz=0}
-93698	乳头	65536	20083	3	{n=0}
-93699	名声大	68304	135001	1	null
-93700	例文	65536	20363	3	{n=0}
-93701	一清	65543	19968	1	null
-93702	两袖清	65546	102177	1	null
-93703	保险期	65536	125494	3	{n=0}
-93704	一身清	65541	102059	1	null
-93705	假撇清	65536	110528	3	{l=0}
-93706	万丈深渊	65536	93682	3	{l=0}
-93707	六根清	66713	101769	1	null
-93708	两极	65539	20004	2	{n=14}
-93709	冷冷清	65547	113088	1	null
-93710	亵渎	65536	20149	3	{v=2, vn=0}
-93711	乌合	65971	20044	1	null
-93712	冷冷清清	65536	93709	3	{z=2}
-93713	冷清清	65536	120334	3	{z=0}
-93714	优厚	65536	20248	3	{a=0}
-93715	上前	65536	19978	3	{v=14}
-93716	农林牧副渔	65536	87953	3	{j=1, n=0}
-93717	净价	65536	20928	3	{n=0}
-93718	互换	65536	20114	3	{v=1, vn=0}
-93719	名存实	73593	135617	1	null
-93720	合理合	65605	136475	1	null
-93721	产供	65537	20135	1	null
-93722	名存实亡	65536	93719	3	{i=0}
-93723	另册	65536	21478	3	{n=1}
-93724	凡士	65686	20961	1	null
-93725	名实相副	65536	96085	3	{i=0}
-93726	十五日	65536	113473	3	{n=1, t=8}
-93727	万劫不渝	65536	85604	3	{i=0}
-93728	南湖渠	65536	131338	3	{ns=0}
-93729	万安渡	65536	89085	3	{ns=0}
-93730	同盟会	65536	139734	3	{n=0, nt=0}
-93731	名不副	70199	132214	1	null
-93732	可见光	65536	141694	3	{n=1}
-93733	名山大	69705	135898	1	null
-93734	名山大川	65536	93733	3	{l=0}
-93735	名扬四海	65536	93779	3	{i=1}
-93736	六亲无	65553	95234	1	null
-93737	勉强	65536	21193	3	{a=0, ad=2, v=3, vd=0}
-93738	南京大	67261	123232	1	null
-93739	争抢	65536	20105	3	{v=1}
-93740	叔叔	65536	21460	3	{n=10}
-93741	名扬天下	65536	94369	3	{i=1}
-93742	名权位	65536	138668	3	{j=1}
-93743	不冻港	65536	103500	3	{n=0}
-93744	东京港	65536	94158	3	{ns=0}
-93745	丹绒不碌港	65536	96398	3	{ns=0}
-93746	分流港	65536	130189	3	{n=1}
-93747	吉大港	65536	116353	3	{ns=0}
-93748	名来利	69302	138702	1	null
-93749	合作制	65536	127089	3	{n=4}
-93750	名来利往	65536	93748	3	{i=0}
-93751	上海港	65536	100669	3	{ns=0}
-93752	万岭不思游	65536	90142	3	{i=0}
-93753	三峡游	65536	94978	3	{n=0}
-93754	上中游	65536	92659	3	{j=0}
-93755	中上游	65536	105182	3	{f=5, j=0, n=0, s=0}
-93756	优哉游	65551	94017	1	null
-93757	专心	65880	19987	2	{a=0, ad=1}
-93758	中间派	65536	123592	3	{n=0}
-93759	主干渠	65536	108037	3	{n=0}
-93760	信天游	65536	109727	3	{n=0}
-93761	力争上游	65536	88694	3	{i=0}
-93762	光明港	65536	116877	3	{ns=0}
-93763	丹东港	65536	86044	3	{ns=0}
-93764	名满天	73786	140618	1	null
-93765	名满天下	65536	93764	3	{i=0}
-93766	保护区	65536	112241	3	{n=22}
-93767	云冈	65536	20113	3	{ns=0}
-93768	保险杠	65536	125494	3	{n=0}
-93769	北仑港	65536	122242	3	{ns=0}
-93770	名演员	65536	140669	3	{n=2}
-93771	冷藏法	65536	126424	3	{n=0}
-93772	各行各	73105	136468	1	null
-93773	中下游	65536	105183	3	{f=0, n=6}
-93774	乙未	65536	20057	3	{m=0}
-93775	一日游	65536	91621	3	{l=3, n=1}
-93776	倾城	66764	20542	1	null
-93777	匠心	65538	21280	2	{n=0}
-93778	健儿	65536	20581	3	{n=14}
-93779	名扬四	65712	137429	1	null
-93780	冠县	65536	20896	3	{ns=0}
-93781	分类法	65536	134087	3	{n=0}
-93782	三仙湖	65538	91386	1	null
-93783	万绿湖	65536	98163	3	{ns=0}
-93784	东钱湖	65536	112083	3	{ns=0}
-93785	仁果	65536	20161	3	{n=0}
-93786	加通湖	65536	134553	3	{ns=0}
-93787	千岛湖	65536	118213	3	{ns=2}
-93788	凡夫	67662	20961	1	null
-93789	南四湖	65536	125327	3	{ns=2}
-93790	博学多	65857	110562	1	null
-93791	丹江	65544	20025	2	{ns=0}
-93792	博斯腾湖	65536	98698	3	{ns=0}
-93793	俚歌	65536	20442	3	{n=0}
-93794	同心同	69098	133818	1	null
-93795	之江	65536	20043	3	{ns=0}
-93796	名片册	65536	141488	3	{n=3}
-93797	名特优	67767	141538	2	{j=0}
-93798	严正	65536	20005	3	{a=0, ad=0, nr=0}
-93799	名特优新	65536	93797	3	{j=5}
-93800	名特新优	65543	99581	1	null
-93801	名留青史	65536	104279	3	{i=0}
-93802	危机感	65536	111762	3	{n=2}
-93803	司法员	65536	113333	3	{n=1}
-93804	名目繁多	65536	97863	3	{i=5}
-93805	中央气	65537	108034	1	null
-93806	代远年湮	65536	89738	3	{l=0}
-93807	名称栏	65536	143449	3	{n=1}
-93808	你来	65564	20320	1	null
-93809	名符其	70356	143759	1	null
-93810	名符其实	65536	93809	3	{i=0}
-93811	叠印	65536	21472	3	{v=0}
-93812	名缰利	65544	144793	1	null
-93813	三塔	65536	19977	3	{ns=0}
-93814	名花异	65542	145690	1	null
-93815	净余	65536	20928	3	{n=0}
-93816	上劲	65536	19978	3	{a=0}
-93817	三塘	65559	19977	2	{ns=0}
-93818	名落孙	70155	146086	1	null
-93819	健全	65536	20581	3	{a=22, ad=1, an=0, v=54, vn=0}
-93820	名落孙山	65536	93818	3	{i=1}
-93821	名誉扫	71516	147698	1	null
-93822	下龙湾	65536	116244	3	{ns=2}
-93823	东京湾	65536	94158	3	{ns=0}
-93824	乌礁湾	65536	103176	3	{ns=0}
-93825	亚龙湾	65536	115578	3	{ns=2}
-93826	北部湾	65536	139161	3	{n=1, ns=0}
-93827	南泥湾	65536	130969	3	{ns=2}
-93828	一触即溃	65536	86900	3	{i=0}
-93829	伏季	65536	20239	3	{n=0}
-93830	冻害	65536	20923	3	{n=0}
-93831	乌咀	65951	20044	1	null
-93832	几内	67967	20960	1	null
-93833	加里波	65537	134987	1	null
-93834	争持	65536	20105	3	{v=0}
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-93836	名誉扫地	65536	93821	3	{l=0}
-93837	名词委	65536	148022	3	{j=0}
-93838	名过其	70385	149040	1	null
-93839	名过其实	65536	93838	3	{i=0}
-93840	世外桃源	65536	92227	3	{i=0}
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-93842	名闻中外	65536	93841	3	{l=0}
-93843	任免	65546	20219	2	{v=0, vn=0}
-93844	劝勉	65536	21149	3	{v=0, vn=0}
-93845	名难副	70393	150823	1	null
-93846	人造毛	65536	125991	3	{n=0}
-93847	名难副实	65536	93845	3	{l=1}
-93848	刷新	65536	21047	3	{v=5}
-93849	乞求	65536	20062	3	{v=2}
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-93853	中不溜	65561	105185	1	null
-93854	乌溜溜	65536	100515	3	{z=0}
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-93856	中国海	65536	107473	3	{ns=1}
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-93858	冠名	65653	20896	2	{v=1, vd=1, vn=2}
-93859	名震一	67748	150896	1	null
-93860	后事之	69789	130740	1	null
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-93864	交易法	65536	109309	3	{n=2}
-93865	后会有	67470	130883	1	null
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-93868	剡溪	65536	21089	3	{ns=0}
-93869	后会有期	65536	93865	3	{i=0}
-93870	发展前	65536	131757	1	null
-93871	人工港	65536	113132	3	{n=0}
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-93873	中国消	65538	107473	1	null
-93874	冷溲溲	65536	120507	3	{z=0}
-93875	凉溲溲	65536	110193	3	{z=0}
-93876	使劲	65536	20351	3	{v=3, vd=1}
-93877	同等学历	65536	93634	3	{l=0}
-93878	凤尾	65543	20964	2	{n=1}
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-93880	后勤局	65536	131853	3	{n=1}
-93881	公开栏	65536	120273	3	{n=11}
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-93883	反复无	67764	129716	1	null
-93884	任其	65542	20219	1	null
-93885	后半辈子	65536	107832	3	{l=0}
-93886	后发制	73735	132090	1	null
-93887	两面派	65536	105965	3	{n=0}
-93888	内陆湖	65536	135908	3	{n=0}
-93889	后发制人	65536	93886	3	{i=0}
-93890	厨子	65536	21416	3	{n=0}
-93891	后台老板	65536	98601	3	{i=0}
-93892	保险柜	65536	125494	3	{n=4}
-93893	产假	65536	20135	3	{n=0}
-93894	后坐力	65536	132985	3	{n=0}
-93895	休闲游	65536	109295	3	{n=1}
-93896	台球室	65536	133782	3	{n=0}
-93897	名胜区	65536	145221	3	{n=0, s=1}
-93898	召回	65536	21484	3	{v=0}
-93899	乐滋滋	65536	100734	3	{z=1}
-93900	后半夜	65536	131955	3	{t=0}
-93901	后备军	65536	133424	3	{n=1}
-93902	后天下	73864	133458	1	null
-93903	各自为政	65536	93095	3	{i=0}
-93904	名震中	71045	150896	1	null
-93905	偷奸耍滑	65536	98683	3	{l=0}
-93906	光滑滑	65536	119120	3	{z=0}
-93907	后天下之	73860	93902	1	null
-93908	后天下之乐	65822	93907	1	null
-93909	后天下之乐而乐	65536	98602	3	{l=1, n=0}
-93910	人工湖	65536	113132	3	{n=0}
-93911	后悔莫及	65536	99253	3	{i=1}
-93912	厅局	65816	21381	1	null
-93913	后半天	65536	131955	3	{t=0}
-93914	人民检	65537	116760	1	null
-93915	再就是	65536	100502	3	{d=1}
-93916	后患无	65567	135372	1	null
-93917	保皇派	65536	117332	3	{n=0}
-93918	后来居上	65536	97415	3	{i=1}
-93919	上下游	65536	92625	3	{f=0, j=2}
-93920	伤心	65536	20260	2	{a=0}
-93921	一满	65538	19968	1	null
-93922	一瓶子不满	65536	85554	3	{l=1, n=0}
-93923	万紫千红春满	65536	91688	1	null
-93924	儿孙满	65538	90741	1	null
-93925	乱砍滥	65838	101437	1	null
-93926	乳娘	65536	20083	3	{n=0}
-93927	功德圆满	65536	88720	3	{i=0}
-93928	加德满	65541	122166	1	null
-93929	句型	65536	21477	3	{n=0}
-93930	傻乎	67336	20667	1	null
-93931	后河乡	65536	138460	3	{ns=0}
-93932	傻乐	65536	20667	3	{v=0}
-93933	半月形	65536	127006	3	{n=0}
-93934	后浪推	72866	138643	1	null
-93935	后浪推前	65929	93934	1	null
-93936	冤家	65735	20900	2	{n=1}
-93937	上海滩	65536	100669	3	{ns=0}
-93938	二话没	65558	113943	1	null
-93939	后浪推前浪	65536	93935	3	{i=0}
-93940	一点一滴	65536	85555	3	{i=2}
-93941	后生可	65621	140616	1	null
-93942	厅属	65536	21381	3	{v=1}
-93943	后盖板	65536	141055	3	{n=1}
-93944	北京大	65994	122205	1	null
-93945	后继乏	73797	143120	1	null
-93946	公用权	65536	125945	3	{n=0}
-93947	凸显	65536	20984	3	{v=1}
-93948	后来人	65536	137102	3	{n=2}
-93949	冠周	65541	20896	1	null
-93950	吉祥寺	65536	124607	3	{ns=1}
-93951	后继乏人	65536	93945	3	{i=1}
-93952	后继无人	65536	99978	3	{i=0}
-93953	于洪	65605	20110	1	null
-93954	依凭	65536	20381	3	{n=0, v=0}
-93955	后继有人	65536	100275	3	{i=2}
-93956	后脑勺	65536	143674	3	{n=0}
-93957	后视图	65536	145903	3	{n=0}
-93958	乳胶漆	65536	103876	3	{n=0}
-93959	一团漆	65536	87778	1	null
-93960	后起之	65589	146848	1	null
-93961	几分	65645	20960	1	null
-93962	刘家	66357	21016	1	null
-93963	发射光	65613	131676	1	null
-93964	后车之	65538	147343	1	null
-93965	上升	65539	19978	2	{v=98, vn=18}
-93966	上午	65536	19978	3	{t=147}
-93967	叭嗒	65536	21485	3	{o=0}
-93968	上半	65573	19978	1	null
-93969	后过渡	67575	147440	1	null
-93970	印刷厂	65536	113385	3	{n=5}
-93971	典故	65536	20856	3	{n=0}
-93972	三国演	65581	93470	1	null
-93973	合作化	65536	127089	3	{v=0, vn=1}
-93974	后过渡期	65536	93969	3	{n=2}
-93975	后隋村	65536	149172	3	{ns=0}
-93976	后顾之	69428	149671	1	null
-93977	后进村	65536	147460	3	{n=2}
-93978	厉害	65536	21385	3	{a=2, an=0}
-93979	后顾之忧	65536	93976	3	{i=2}
-93980	亮光漆	65536	87150	3	{n=0}
-93981	吏治	65536	21519	3	{n=0}
-93982	卒子	65536	21330	3	{n=0}
-93983	传染源	65536	111005	3	{n=1}
-93984	吐故纳新	65536	98245	3	{i=1}
-93985	吐气扬	65613	107819	1	null
-93986	吐谷浑	65536	116046	3	{n=0}
-93987	吐露真情	65536	96088	3	{i=0}
-93988	向导员	65536	108564	3	{n=0}
-93989	向心力	65536	109531	3	{n=2}
-93990	向斜层	65536	111028	3	{n=0}
-93991	傻事	65536	20667	3	{n=0}
-93992	乐呵	65536	20048	1	null
-93993	向隅而泣	65536	98604	3	{i=0}
-93994	号召力	65536	107347	3	{n=2}
-93995	东三	65536	19996	1	null
-93996	吕勒奥	65536	94105	3	{ns=4}
-93997	吕梁山	65536	99656	3	{ns=1}
-93998	吕剧	65536	21525	3	{n=0}
-93999	东不	65536	19996	1	null
-94000	三夏	65536	19977	3	{j=0, t=0}
-94001	吗啡	65536	21527	3	{n=2}
-94002	君主专制	65536	94023	3	{l=0}
-94003	任凭	65536	20219	3	{c=0, v=0}
-94004	君主立宪	65536	105471	3	{l=0, n=0}
-94005	君士坦	74039	96927	1	null
-94006	伏尔	65593	20239	1	null
-94007	为止	65536	20026	3	{u=26}
-94008	君士坦丁	71450	94005	1	null
-94009	为此	65536	20026	3	{d=0, l=0}
-94010	合作医	65545	127089	1	null
-94011	君士坦丁堡	65536	94008	3	{ns=4}
-94012	君子协定	65536	94504	3	{l=0}
-94013	侧击	65536	20391	3	{v=0}
-94014	吞云吐	65545	99202	1	null
-94015	吞吞吐	72502	100623	1	null
-94016	刁滑	65536	20993	3	{a=0}
-94017	优哉	65540	20248	1	null
-94018	侧刀	65536	20391	3	{n=0}
-94019	叙利	72506	21465	1	null
-94020	吝啬	65540	21533	2	{a=1}
-94021	叙别	65536	21465	3	{v=0}
-94022	吞吞吐吐	65536	94015	3	{i=0}
-94023	君主专	72956	94191	1	null
-94024	三大	65538	19977	2	{j=0}
-94025	君子兰	65536	97540	3	{n=0}
-94026	三天	65621	19977	1	null
-94027	冥河	65536	20901	3	{n=0}
-94028	动手术	65536	117799	3	{v=1}
-94029	吟风弄	67654	111509	1	null
-94030	吟风弄月	65536	94029	3	{i=0}
-94031	东中	65536	19996	1	null
-94032	冷水滩	66734	119869	2	{ns=0}
-94033	上压	65545	19978	1	null
-94034	东丰	65544	19996	1	null
-94035	吠形	72500	21536	1	null
-94036	吠形吠	71271	94035	1	null
-94037	三头	65553	19977	1	null
-94038	吟咏	65536	21535	3	{v=1}
-94039	吠形吠声	65536	94036	3	{i=0}
-94040	吡啶	65536	21537	3	{n=0}
-94041	否决权	65536	94052	3	{n=0}
-94042	净值	65536	20928	3	{n=1}
-94043	劲射	65536	21170	3	{v=0}
-94044	否定性	65536	96587	3	{n=0}
-94045	吧哒	65536	21543	3	{o=0}
-94046	吩咐	65536	21545	3	{v=2, vn=2}
-94047	吨粮县	65536	105665	3	{n=1}
-94048	吨位	65536	21544	3	{n=2}
-94049	候温	65536	20505	3	{n=0}
-94050	含冤负屈	65536	101784	3	{i=0}
-94051	函授	65749	20989	2	{v=1, vn=3}
-94052	否决	67606	21542	2	{v=3, vn=1}
-94053	刘少	65722	21016	1	null
-94054	含垢忍	65542	108668	1	null
-94055	含山县	65536	109899	3	{ns=0}
-94056	判例	65536	21028	3	{n=0}
-94057	含沙射	69625	114035	1	null
-94058	含沙射影	65536	94057	3	{i=0}
-94059	含混不	65895	114385	1	null
-94060	含混不清	65536	94059	3	{i=0}
-94061	一潭	65536	19968	1	null
-94062	举杯	65536	20030	3	{v=4}
-94063	停车楼	65536	120100	3	{n=0}
-94064	净月潭	65536	99878	3	{ns=2}
-94065	含漱剂	65536	114699	3	{n=0}
-94066	含硫分	65536	117061	3	{n=0}
-94067	名胜古	65587	145221	1	null
-94068	含笑九	66220	117739	1	null
-94069	含笑九泉	65536	94068	3	{i=1}
-94070	含糊其	65746	118180	1	null
-94071	劫争	65536	21163	3	{vn=1}
-94072	今夏	65536	20170	3	{t=1}
-94073	含英咀	72749	119755	1	null
-94074	叙事文	65536	93093	3	{n=0}
-94075	含英咀华	65536	94073	3	{i=0}
-94076	含血喷	73924	121114	1	null
-94077	京城	65536	20140	3	{n=0, ns=35}
-94078	含血喷人	65536	94076	3	{i=0}
-94079	各奔前	65556	124444	1	null
-94080	乱子	65536	20081	3	{n=0}
-94081	上去	65536	19978	3	{v=28}
-94082	冤屈	65536	20900	3	{n=0}
-94083	东乡	65546	19996	2	{nz=0}
-94084	含饴弄	70701	125518	1	null
-94085	今夜	65536	20170	3	{t=3}
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-94087	听之任	74045	113530	1	null
-94088	听之任之	65536	94087	3	{i=0}
-94089	听天由命	65536	95670	3	{i=2}
-94090	听而不	65707	126267	1	null
-94091	听证会	65536	129264	3	{n=6}
-94092	听诊器	65536	129273	3	{n=0}
-94093	刊大	65536	21002	3	{j=0}
-94094	听风是	65548	132605	1	null
-94095	吮吸	65536	21550	3	{v=1}
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-94097	冗杂	65536	20887	3	{a=1}
-94098	今天	65536	20170	3	{n=0, t=866}
-94099	位次	65536	20301	3	{n=2}
-94100	分散染	65552	128175	1	null
-94101	启明星	65536	109369	3	{n=0, nz=0}
-94102	启示录	65536	114277	3	{n=0}
-94103	凝成	65536	20957	3	{v=3}
-94104	启蒙运动	65536	102448	3	{l=0}
-94105	吕勒	71111	21525	1	null
-94106	刊头	65536	21002	3	{n=0}
-94107	吱吱悠	69373	94115	1	null
-94108	力挽狂澜	65536	94917	3	{i=0}
-94109	吱吱悠悠	65536	94107	3	{z=1}
-94110	三好	65541	19977	2	{j=0}
-94111	出口导	66604	122637	1	null
-94112	储户	65536	20648	3	{n=0}
-94113	凄风楚	65543	110643	1	null
-94114	吴县市	65536	96871	3	{ns=0}
-94115	吱吱	69371	21553	1	null
-94116	吴家包	67668	98910	1	null
-94117	吴家包村	65536	94116	3	{ns=0}
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-94119	具有	65536	20855	3	{v=403, vn=0}
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-94121	上口	65536	19978	3	{a=0}
-94122	上古	65536	19978	3	{t=0}
-94123	吴江市	65536	103175	3	{ns=0}
-94124	吴淞口	65536	103558	3	{ns=1}
-94125	吴窑村	65536	106809	3	{ns=0}
-94126	健力	65617	20581	1	null
-94127	吭哧	65536	21549	3	{o=0}
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-94129	企业法	66135	86511	1	null
-94130	吱呀	65536	21553	3	{o=3}
-94131	十年如	69498	117537	1	null
-94132	台港澳	72479	132290	1	null
-94133	举架	65536	20030	3	{v=1}
-94134	上台	65536	19978	3	{v=13, vn=1}
-94135	吸奶器	65536	107543	3	{n=0}
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-94141	产儿	65536	20135	3	{n=0}
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-94143	启动器	65536	104403	3	{n=0}
-94144	伊万	65557	20234	1	null
-94145	君不	65621	21531	1	null
-94146	吸烟客	65536	113536	3	{n=2}
-94147	吹吹打	68978	107823	1	null
-94148	吸烟室	65536	113536	3	{n=0}
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-94150	东交	65536	19996	1	null
-94151	吵嘴	65536	21557	3	{v=0}
-94152	吹毛求	65540	113873	1	null
-94153	吹灰之	73010	115046	1	null
-94154	否则	65536	21542	3	{c=43, d=0}
-94155	务川	65536	21153	3	{ns=2}
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-94158	东京	65537	19996	2	{ns=65}
-94159	东亭	65536	19996	3	{ns=0}
-94160	上吊	65536	19978	3	{v=0}
-94161	吹胡子	65536	119255	1	null
-94162	凭仗	65536	20973	3	{v=0}
-94163	务工	68613	21153	2	{v=1}
-94164	吹鼓手	65536	126985	3	{n=0}
-94165	伊东	65608	20234	1	null
-94166	吹风会	65536	125380	3	{n=4}
-94167	吻合	72048	21563	2	{v=2, vn=0}
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-94169	吼三	72253	21564	1	null
-94170	吼三喝	71937	94169	1	null
-94171	发行史	65536	143012	3	{n=2}
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-94173	吾日	74198	21566	1	null
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-94175	吾日三	65628	94173	1	null
-94176	债权	67146	20538	2	{n=21}
-94177	他方	65536	20182	3	{n=0}
-94178	伤情	65536	20260	3	{n=3}
-94179	吾日三省吾	65549	96093	1	null
-94180	呆头呆	65581	99822	1	null
-94181	呆愣愣	65536	101853	3	{z=0}
-94182	为民	65545	20026	2	{v=1}
-94183	任务	65536	20219	3	{n=407}
-94184	可可油	65536	127916	3	{n=0}
-94185	呆若木	65544	110495	1	null
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-94187	呈贡县	65536	112955	3	{ns=0}
-94188	告一段	65543	112502	1	null
-94189	告特叶	65536	121839	3	{n=0}
-94190	告申庭	65536	122537	3	{n=0}
-94191	君主	74036	21531	2	{n=2}
-94192	告老还乡	65536	102449	3	{i=2}
-94193	呋喃	65563	21579	2	{n=0}
-94194	三姑	65554	19977	1	null
-94195	呋喃西林	65536	100762	3	{n=0}
-94196	乘法	65539	20056	2	{n=0}
-94197	三委	65536	19977	3	{j=2}
-94198	伊丽	65536	20234	1	null
-94199	呐喊	73041	21584	2	{v=1, vn=1}
-94200	吟唱	65536	21535	3	{v=1, vn=0}
-94201	任劳	66068	20219	1	null
-94202	呐喊助	71162	94199	1	null
-94203	呐喊助威	65536	94202	3	{l=0}
-94204	呕吐	65536	21589	3	{v=0, vn=0}
-94205	呕心沥	65540	97199	1	null
-94206	呖呖	65536	21590	3	{o=0}
-94207	呛鼻子	65536	106301	3	{v=0}
-94208	呜乎哀	72504	94210	1	null
-94209	呜乎哀哉	65536	94208	3	{i=0}
-94210	呜乎	72512	21596	1	null
-94211	呜呼哀	72507	95792	1	null
-94212	呜呼哀哉	65536	94211	3	{l=0}
-94213	互救	65536	20114	3	{v=4, vn=0}
-94214	周口市	65536	121083	3	{ns=0}
-94215	周恩来	65536	124289	3	{nr=188}
-94216	人心浮	65579	113610	1	null
-94217	周报制	65536	124861	3	{n=2}
-94218	周期函	68251	126007	1	null
-94219	周期函数	65536	94218	3	{n=0}
-94220	周村区	65536	126057	3	{ns=6}
-94221	他日	65536	20182	3	{r=0}
-94222	仙桃	65602	20185	2	{n=0, ns=0}
-94223	周而复	71238	132388	1	null
-94224	上告	65536	19978	2	{v=0}
-94225	周而复始	65536	94223	3	{i=1}
-94226	呱呱叫	65536	94293	3	{z=0}
-94227	呱嗒板	73429	94646	1	null
-94228	呱嗒板儿	65536	94227	3	{n=0}
-94229	劝告	65536	21149	3	{v=2, vn=1}
-94230	云南	65551	20113	2	{ns=76}
-94231	企求	65536	20225	3	{v=1}
-94232	味同嚼	65536	94988	1	null
-94233	呵叻府	65536	94971	3	{ns=0}
-94234	呻吟	65536	21627	3	{v=3, vn=0}
-94235	事不	65586	20107	1	null
-94236	事与	65541	20107	1	null
-94237	使君	65665	20351	1	null
-94238	呼之欲	73253	110785	1	null
-94239	呼之欲出	65536	94238	3	{i=1}
-94240	呼伦贝尔	65545	101662	2	{ns=4}
-94241	住户	65536	20303	3	{n=14}
-94242	亮泽	65536	20142	3	{n=0}
-94243	呼叫器	65536	112225	3	{n=0}
-94244	减速板	65536	123386	3	{n=0}
-94245	伤愈	65536	20260	3	{v=1, vn=0}
-94246	呼吁书	65536	112247	3	{n=0}
-94247	呼吸与共	65536	94290	3	{l=0}
-94248	事业	65566	20107	2	{n=463}
-94249	住房	65536	20303	3	{n=373, vn=4}
-94250	住所	65536	20303	3	{n=3}
-94251	北极带	65536	128562	3	{n=1}
-94252	呼吸器官	65536	96428	3	{n=0}
-94253	何乐	66539	20309	1	null
-94254	上周	65536	19978	3	{t=31}
-94255	串演	65536	20018	3	{v=0}
-94256	付梓	65536	20184	3	{v=0}
-94257	县政府	65536	115795	3	{n=25}
-94258	呼和浩	65602	112386	1	null
-94259	呼和浩特市	65536	94907	3	{ns=9}
-94260	呼哧呼	72529	112477	1	null
-94261	住手	65536	20303	3	{v=0}
-94262	供养	65536	20379	3	{v=3, vn=0}
-94263	乐善	65537	20048	1	null
-94264	呼哧呼哧	65536	94260	3	{o=0}
-94265	呼啦啦	65536	112604	3	{o=0}
-94266	呼天抢	71949	113567	1	null
-94267	周转期	65536	136324	3	{n=0}
-94268	伤感	65536	20260	3	{a=0, an=2}
-94269	呼天抢地	65536	94266	3	{i=0}
-94270	合不来	65536	126754	3	{v=0}
-94271	味儿	65536	21619	3	{n=1}
-94272	呼家楼	65536	114220	3	{ns=1}
-94273	发行员	65536	143012	3	{n=4}
-94274	上呼	65536	19978	1	null
-94275	动力源	65536	113783	3	{n=1}
-94276	呼幺喝	73432	114928	1	null
-94277	呼幺喝六	65536	94276	3	{i=0}
-94278	享清	65538	20139	1	null
-94279	举案	65538	20030	1	null
-94280	临安	65536	20020	3	{ns=1}
-94281	事主	65536	20107	3	{n=0}
-94282	吵嚷	65536	21557	3	{v=0, vn=0}
-94283	呼救声	65536	116679	3	{n=1}
-94284	呼朋唤	72834	117121	1	null
-94285	呼朋唤友	65536	94284	3	{i=1}
-94286	呼风唤	65549	129860	1	null
-94287	乐喜	65548	20048	1	null
-94288	吸收光	65632	110551	1	null
-94289	印刷品	65536	113385	3	{n=1}
-94290	呼吸与	73398	112302	1	null
-94291	发展史	65536	131757	3	{n=9}
-94292	呼饥号	70788	130011	1	null
-94293	呱呱	72743	21617	2	{o=0}
-94294	呼饥号寒	65536	94292	3	{l=0}
-94295	劝和	65536	21149	3	{v=0}
-94296	呢喃	65536	21602	3	{v=1, vn=0}
-94297	互斥	65536	20114	3	{v=0}
-94298	充公	65536	20805	3	{v=0}
-94299	命令主义	65536	94304	3	{n=0}
-94300	命在旦	71497	107415	1	null
-94301	吧嗒	65536	21543	3	{o=1}
-94302	命在旦夕	65536	94300	3	{l=0}
-94303	命根子	65536	111784	3	{n=3}
-94304	命令主	74258	105299	1	null
-94305	临客	65536	20020	3	{j=2}
-94306	侠气	65536	20384	3	{n=2}
-94307	休学	65536	20241	3	{v=0}
-94308	充其	65569	20805	1	null
-94309	东佃	65536	19996	3	{n=0}
-94310	命赴黄泉	65536	106183	3	{l=0}
-94311	佳丽	65536	20339	3	{n=1}
-94312	何事	65536	20309	3	{r=2}
-94313	众志	65558	20247	1	null
-94314	命运攸	73507	121919	1	null
-94315	万家灯火	65536	94341	3	{i=4}
-94316	不食烟火	65536	94432	3	{i=0}
-94317	不可磨灭	65536	96748	3	{i=4}
-94318	以火救火	65536	91475	3	{i=0}
-94319	众人拾柴火	65537	92149	1	null
-94320	一鼻子灰	65536	88922	3	{i=0}
-94321	万念俱灰	65536	86002	3	{i=0}
-94322	刀耕火	65552	118177	1	null
-94323	动肝火	65536	125561	3	{l=0}
-94324	义师	65536	20041	3	{n=0}
-94325	一股就灵	65536	89140	3	{l=3}
-94326	乳疾灵	65536	101004	3	{nz=0}
-94327	人杰地灵	65536	87876	3	{i=1}
-94328	产出	65539	20135	2	{n=1, v=4, vn=9}
-94329	买椟	65536	20080	1	null
-94330	冥顽不灵	65536	87985	3	{i=0}
-94331	十万火	65838	113332	1	null
-94332	南沈灶	65575	130876	1	null
-94333	厝火	65538	21405	1	null
-94334	休宁	65761	20241	1	null
-94335	使命	65541	20351	2	{n=51}
-94336	光辉灿	65537	127496	1	null
-94337	厮混	65536	21422	3	{v=0}
-94338	双蹦灯	65536	140222	3	{n=3}
-94339	另起炉灶	65536	94348	3	{i=1}
-94340	号志灯	65536	110398	3	{n=0}
-94341	万家灯	65536	89130	1	null
-94342	冀晋	65536	20864	3	{j=1}
-94343	上品	65536	19978	3	{n=1}
-94344	吃小灶	65536	124294	3	{l=0}
-94345	充军	65536	20805	3	{v=0}
-94346	化铁炉	65536	126379	3	{n=0}
-94347	卡式炉	65536	115751	3	{n=0}
-94348	另起炉	65549	109062	1	null
-94349	后院起火	65536	101783	3	{l=0}
-94350	世态炎	65536	91673	1	null
-94351	中耳炎	65536	118023	3	{n=0}
-94352	乳腺炎	65536	104008	3	{n=0}
-94353	关节炎	65536	119144	3	{n=1}
-94354	亡灵	65536	20129	3	{n=1}
-94355	冠周炎	65536	93949	3	{n=0}
-94356	包皮炎	65536	123243	3	{n=0}
-94357	口角炎	65536	137323	3	{n=0}
-94358	命运攸关	65536	94314	3	{i=1}
-94359	何人	65536	20309	3	{r=1}
-94360	凭依	65536	20973	3	{v=0}
-94361	事事	65538	20107	2	{n=3}
-94362	咀嚼	65536	21632	3	{v=4}
-94363	周口店	65536	121083	3	{ns=1}
-94364	价款	65536	20215	3	{n=1}
-94365	咂嘴	65536	21634	3	{v=0}
-94366	咄咄	69749	21636	1	null
-94367	咄咄怪	74261	94366	1	null
-94368	咄咄怪事	65536	94367	3	{i=1}
-94369	名扬天	73762	137429	1	null
-94370	咄咄逼人	65536	106673	3	{i=4}
-94371	同盟军	65536	139734	3	{n=0}
-94372	众怒	65540	20247	2	{n=0}
-94373	决定权	65536	103113	3	{n=1}
-94374	咆哮	65536	21638	3	{v=4, vn=0}
-94375	咋呼	65536	21643	3	{v=0}
-94376	咋咋呼	72750	94390	1	null
-94377	侧卧	65536	20391	3	{v=1}
-94378	咋咋呼呼	65536	94376	3	{z=0}
-94379	反对声	65536	130464	3	{n=0}
-94380	和光同	70805	117001	1	null
-94381	和光同尘	65536	94380	3	{i=0}
-94382	加农炮	65536	118555	3	{n=0}
-94383	云台	65555	20113	1	null
-94384	和刻本	65536	117243	3	{n=0}
-94385	专户	65536	19987	3	{n=5}
-94386	和合学	65536	117704	3	{n=5}
-94387	付之一炬	65536	86237	3	{i=0}
-94388	和合雅俗	65536	109585	3	{l=1}
-94389	促进派	65536	103239	3	{n=0}
-94390	咋咋	72748	21643	1	null
-94391	和和气	66759	117836	1	null
-94392	反射弧	65536	130475	3	{n=0}
-94393	一点	65587	19968	2	{m=104, q=0, t=0}
-94394	一丁点	65536	85505	1	null
-94395	一星半点	65536	86861	3	{i=0}
-94396	临界点	65536	100875	3	{n=1}
-94397	主焦点	65536	112825	3	{n=0}
-94398	交汇点	65536	110897	3	{n=2}
-94399	优缺点	65536	104882	3	{n=0}
-94400	侧重点	65536	110351	3	{n=2}
-94401	共建点	65536	106750	3	{n=1}
-94402	何以	65536	20309	3	{d=14, r=0}
-94403	光辉灿烂	65536	94336	3	{i=3}
-94404	共轭点	65536	119153	3	{n=0}
-94405	军民共建点	65536	89851	3	{n=2}
-94406	冻凝点	65536	91312	3	{n=0}
-94407	低声波	65536	108248	3	{n=0}
-94408	会合点	65536	106340	3	{n=0}
-94409	东侧	65536	19996	3	{f=0, s=0}
-94410	举棋	66007	20030	1	null
-94411	产前	65536	20135	3	{t=1}
-94412	修车点	65536	115549	3	{l=1}
-94413	侧压	65611	20391	1	null
-94414	兴高彩烈	65536	90105	3	{i=0}
-94415	兴高采烈	65536	102999	3	{i=4}
-94416	井架	65536	20117	3	{n=1}
-94417	冰冻期	65536	112832	3	{t=0}
-94418	公司法	65536	117449	3	{n=6}
-94419	分至点	65536	135487	3	{n=0}
-94420	制高点	65536	128858	3	{n=6}
-94421	加班加点	65536	88784	3	{l=1}
-94422	千锤百炼	65536	95909	3	{i=3}
-94423	刹时	65536	21049	3	{t=0}
-94424	历算论点	65536	101486	3	{n=1}
-94425	刑事	65638	21009	2	{b=44, d=2, n=3}
-94426	发火点	65536	136899	3	{n=0}
-94427	和和气气	65536	94391	3	{z=0}
-94428	和尚头	65536	119770	3	{n=0}
-94429	又惊	69937	21448	1	null
-94430	和平共处	65536	95832	3	{l=13}
-94431	七窍生烟	65536	95522	3	{i=0}
-94432	不食烟	65537	121712	1	null
-94433	叶子烟	65536	110666	3	{n=0}
-94434	吕宋烟	65536	96338	3	{n=0}
-94435	和平新党	65536	101015	3	{n=2}
-94436	佳人	65536	20339	3	{n=1}
-94437	叙事曲	65536	93093	3	{n=0}
-94438	一溜烟	65536	93852	3	{d=0}
-94439	不厌其烦	65536	86404	3	{i=1}
-94440	不耐烦	65536	115361	3	{a=3}
-94441	不胜其烦	65536	86408	3	{i=0}
-94442	冶炼	66664	20918	2	{v=2, vn=1}
-94443	住持	65536	20303	3	{n=0}
-94444	化为灰烬	65536	97619	3	{l=0}
-94445	不冷不热	65536	85714	3	{l=0}
-94446	亲亲热	65539	95630	1	null
-94447	丁二烯	65536	85723	3	{n=0}
-94448	亲亲热热	65536	94446	3	{z=1}
-94449	军转民	65536	134600	3	{l=2}
-94450	冷嘲热	65644	114235	1	null
-94451	办水热	65536	106928	3	{a=1}
-94452	充分	65536	20805	3	{a=60, ad=211, d=4}
-94453	发高烧	65536	147760	3	{l=0}
-94454	光灿灿	65536	119550	3	{z=0}
-94455	二氧杂环己烷	65536	89599	3	{n=0}
-94456	古道热	65616	142959	1	null
-94457	兔死狗烹	65536	94936	3	{i=0}
-94458	兼并热	65536	106097	3	{n=0}
-94459	兔死	65537	20820	1	null
-94460	和平谈判	65536	110831	3	{l=3}
-94461	出血热	65536	136042	3	{n=1}
-94462	吓倒	65536	21523	3	{v=2}
-94463	和田县	65536	126192	3	{ns=0}
-94464	和盘托	73485	126616	1	null
-94465	分析家	65536	128732	3	{n=14}
-94466	保龄球热	65536	95246	3	{n=0}
-94467	加减法	65536	118606	3	{n=0}
-94468	事件	65536	20107	3	{n=164}
-94469	任县	65536	20219	3	{ns=0}
-94470	产褥热	65536	108451	3	{n=0}
-94471	和盘托出	65536	94464	3	{i=1}
-94472	和睦相处	65536	96095	3	{i=0}
-94473	和稀泥	65536	127424	3	{v=1}
-94474	员司	65536	21592	3	{n=0}
-94475	呱唧	65536	21617	3	{o=0}
-94476	和而不	72961	128972	1	null
-94477	和而不同	65536	94476	3	{i=1}
-94478	入射点	65536	114211	3	{n=0}
-94479	和蔼可	74334	130300	1	null
-94480	和蔼可亲	65536	94479	3	{i=3}
-94481	千山万水	65536	89514	3	{i=1, l=0}
-94482	和衷共	66501	131127	1	null
-94483	和衷共济	65536	94482	3	{i=2}
-94484	充气灯	65536	101122	1	null
-94485	凝固点	65536	91265	3	{n=0}
-94486	和裁会	65536	131201	3	{j=1}
-94487	和解书	65536	131491	3	{n=0}
-94488	农牧林	65536	120879	3	{j=0}
-94489	卫国干	68642	97160	1	null
-94490	凭借	65536	20973	3	{p=14, v=0, vn=0}
-94491	乐器	65536	20048	3	{n=4}
-94492	和面机	65536	134946	3	{n=0}
-94493	军事志	65536	117991	3	{n=0}
-94494	产加	65538	20135	1	null
-94495	和顺县	65536	135226	3	{ns=0}
-94496	争斗	65536	20105	3	{v=1, vn=3}
-94497	和颜悦	65577	135260	1	null
-94498	咎由自取	65536	98824	3	{i=1}
-94499	冬至点	65536	118623	3	{n=0}
-94500	咚咚	65536	21658	3	{o=1}
-94501	兵役法	65536	110679	3	{n=0}
-94502	使唤	65536	20351	3	{v=0}
-94503	僵死	65536	20725	3	{v=0}
-94504	君子协	70562	97540	1	null
-94505	咔叽	65536	21652	3	{n=0}
-94506	咝儿	65536	21661	3	{o=2}
-94507	咖啡	81086	21654	2	{n=40}
-94508	咫尺	74471	21675	2	{n=0}
-94509	争斤	65546	20105	1	null
-94510	咪咪	65536	21674	3	{o=0}
-94511	咫尺天涯	65536	97296	3	{i=0}
-94512	久演	66013	20037	1	null
-94513	众人拾柴火焰	65538	94319	1	null
-94514	咫尺之	65715	94508	1	null
-94515	咬文嚼	71145	103749	1	null
-94516	东倒	65537	19996	1	null
-94517	咨文	65536	21672	3	{n=2}
-94518	一目了然	65536	85653	3	{i=5}
-94519	不以为然	65536	85709	3	{i=2}
-94520	伏帖	65536	20239	3	{a=0}
-94521	其实不然	65536	87700	3	{l=3}
-94522	决非偶然	65536	88027	3	{l=0}
-94523	反之亦然	65536	91862	3	{l=0}
-94524	初始条	68062	117588	1	null
-94525	南北战	70825	124363	1	null
-94526	听其自然	65536	98823	3	{i=0}
-94527	乳山	65585	20083	2	{ns=0}
-94528	咬文嚼字	65536	94515	3	{i=0}
-94529	咬牙切	65540	107031	1	null
-94530	咬紧牙关	65536	94910	3	{l=0}
-94531	交叉点	65536	104627	3	{n=2}
-94532	咕咕	65536	21653	3	{o=0}
-94533	凡尔	65546	20961	2	{n=0}
-94534	丁烷	65536	19969	3	{n=0}
-94535	净利	65537	20928	2	{n=0}
-94536	咬耳朵	65536	110577	3	{l=0}
-94537	咕咚	65536	21653	3	{o=0}
-94538	咯吱	72861	21679	2	{o=0}
-94539	函数	65536	20989	3	{n=0}
-94540	咯吱咯	72990	94538	1	null
-94541	受话器	65536	136603	3	{n=0}
-94542	任其自然	65536	98800	3	{i=1}
-94543	咯吱咯吱	65536	94540	3	{o=0}
-94544	侧后	65536	20391	3	{f=0}
-94545	咳嗽	65574	21683	2	{v=0}
-94546	俨然	65536	20456	3	{v=1, z=1}
-94547	侧向	65536	20391	3	{vn=0}
-94548	倏然	65536	20495	3	{d=0, z=1}
-94549	名利场	65536	133266	3	{n=0}
-94550	冀望	65536	20864	3	{n=0}
-94551	傻傻	65538	20667	1	null
-94552	仍然	65536	20173	3	{d=112}
-94553	咳声叹	66889	95300	1	null
-94554	咱们	65536	21681	3	{r=12}
-94555	兔毛	65536	20820	3	{n=0}
-94556	同心圆	65536	133818	3	{n=0}
-94557	咳声叹气	65536	94553	3	{i=0}
-94558	一笔抹煞	65536	90810	3	{i=0}
-94559	凶神恶煞	65536	90242	3	{i=0}
-94560	咸乎乎	65536	98782	3	{z=0}
-94561	事体	65536	20107	3	{n=1}
-94562	傲然	65536	20658	3	{d=0}
-94563	去年底	65536	108653	3	{t=33}
-94564	咸兴市	65536	99588	3	{ns=0}
-94565	咸宁市	65536	102161	3	{ns=0}
-94566	北海港	65536	130088	3	{ns=2}
-94567	全息照	65574	116769	1	null
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-94575	咸阳市	65536	117187	3	{ns=6}
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-94582	习武	65536	20064	3	{v=2, vn=1}
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-94585	供应点	65536	97615	3	{n=2}
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-94592	哀兵必	65641	114730	1	null
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-94594	哀声叹气	65536	94593	3	{i=0}
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-94598	佳作	65536	20339	3	{n=8}
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-94602	品学兼	74355	112618	1	null
-94603	品学兼优	65536	94602	3	{i=1}
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-94606	哄然大	65554	105646	1	null
-94607	利欲熏	65623	116425	1	null
-94608	判决	68217	21028	2	{v=5, vn=19}
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-94616	咕哩	65606	21653	1	null
-94617	事例	65536	20107	3	{n=8}
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-94622	哈姆雷特式	65536	94912	3	{b=1, n=0}
-94623	兼权熟	65542	108350	1	null
-94624	乐园	65536	20048	3	{n=21}
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-94629	匪帮	65536	21290	3	{n=0}
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-94632	哈尼人	65536	116687	3	{n=0}
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-94638	凄婉	65536	20932	3	{a=0}
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-94653	午休	65536	21320	3	{n=0, v=1, vn=0}
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-94656	哈萨克斯坦共和	72388	94655	1	null
-94657	哈萨克斯坦共和国	65536	94656	3	{ns=0}
-94658	三审	65544	19977	1	null
-94659	任命	65624	20219	2	{n=0, v=21, vn=1}
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-94663	哈雷彗星	65536	94662	3	{n=0}
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-94666	哌嗪	65536	21708	3	{n=0}
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-94669	佳侣	65536	20339	3	{n=0}
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-94671	咏叹	65680	21647	2	{v=0}
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-94674	乐土	65536	20048	3	{n=1}
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-94690	哗众取	71235	94725	1	null
-94691	哗众取宠	65536	94690	3	{i=2}
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-94883	受人牵	71512	120952	1	null
-94884	上回	65536	19978	3	{t=0}
-94885	信号灯	65536	108397	3	{n=0}
-94886	变温动物	65536	92610	3	{l=0}
-94887	古吉拉特	65546	92691	1	null
-94888	古文字	65536	132003	3	{n=0}
-94889	古生物	69330	135995	2	{n=1}
-94890	只言片	65689	120281	1	null
-94891	只鳞片	65538	125111	1	null
-94892	丧家之犬	65536	85906	3	{i=0}
-94893	各具特	65574	122431	1	null
-94894	句子	67644	21477	2	{n=2}
-94895	众怒难犯	65536	104130	3	{i=0}
-94896	作奸犯	65538	110813	1	null
-94897	假释犯	65536	122115	3	{n=0}
-94898	劫持犯	65536	99311	3	{n=0}
-94899	劫机犯	65536	100392	3	{n=0}
-94900	同案犯	65536	135999	3	{n=0}
-94901	三岔	65538	19977	1	null
-94902	不可名状	65536	87313	3	{i=1}
-94903	十二指	65544	113465	1	null
-94904	列宁格	67043	102298	1	null
-94905	同系物	65536	141298	3	{n=0}
-94906	同谋犯	65536	145154	3	{n=0}
-94907	呼和浩特	70193	94258	2	{ns=21}
-94908	劳改犯	65536	113909	3	{n=0}
-94909	告示版	65536	123568	3	{n=0}
-94910	咬紧牙	73679	109797	1	null
-94911	名胜地	65536	145221	3	{n=0}
-94912	哈姆雷特	70287	104189	1	null
-94913	告示牌	65536	123568	3	{n=0}
-94914	丧心病狂	65536	95691	3	{i=0}
-94915	上国	65543	19978	1	null
-94916	上图	65536	19978	3	{n=0}
-94917	力挽狂	65536	110517	1	null
-94918	历久弥新	65536	91247	3	{l=0}
-94919	历史学	67791	101161	2	{n=3}
-94920	口出狂	65548	123027	1	null
-94921	哺乳动物	65536	94790	3	{l=6, n=1}
-94922	唐家会村	65536	94923	3	{ns=0}
-94923	唐家会	68473	106552	1	null
-94924	争权	65559	20105	2	{v=0}
-94925	几内亚比	65629	88089	1	null
-94926	咕嘟	65536	21653	3	{o=0}
-94927	哎哟	65536	21710	3	{e=0}
-94928	九尾狐	65536	90914	3	{n=0}
-94929	兔死狐	65537	94459	1	null
-94930	众所	65594	20247	1	null
-94931	唐山市	65536	106739	3	{ns=8}
-94932	两汉	65536	20004	3	{j=0}
-94933	临帖	65536	20020	3	{v=0}
-94934	初中版	65536	114614	3	{n=2}
-94935	偷鸡摸狗	65536	91259	3	{i=0}
-94936	兔死狗	65536	94459	1	null
-94937	关门打狗	65536	92793	3	{l=0}
-94938	叭儿狗	65536	92796	3	{n=0}
-94939	付款	66085	20184	2	{v=4, vn=0}
-94940	哈吧狗	65536	114618	3	{n=0}
-94941	万物	65536	19975	3	{n=1}
-94942	哈巴狗	65536	117127	3	{n=0}
-94943	唐河县	65536	110901	3	{ns=0}
-94944	唐庄乡	65536	107270	3	{ns=1}
-94945	哭丧棒	65536	97815	3	{n=0}
-94946	休工	65536	20241	3	{v=1}
-94947	唐海县	65536	111097	3	{ns=2}
-94948	使团	65536	20351	3	{n=2}
-94949	哥儿俩	65536	102174	3	{n=0}
-94950	修订版	65536	114585	3	{n=1}
-94951	唠叨	65536	21792	3	{v=0, vn=1}
-94952	唢呐	65536	21794	3	{n=0}
-94953	哺乳	73630	21754	2	{v=0, vn=0}
-94954	唧唧喳	73026	95056	1	null
-94955	冷却水	65536	113533	3	{n=0}
-94956	一枝独	65536	92061	1	null
-94957	一花独	65536	98993	1	null
-94958	匠心独	68553	93777	1	null
-94959	人民法	65549	116760	1	null
-94960	单根独	65536	130369	1	null
-94961	人间地狱	65536	87878	3	{n=0}
-94962	单门独	65721	142064	1	null
-94963	光盘版	65536	121175	3	{n=0}
-94964	争论点	65536	104259	3	{n=0}
-94965	唧唧喳喳	65536	94954	3	{o=0}
-94966	上地	65536	19978	3	{ns=0}
-94967	唬人	65536	21804	3	{v=1}
-94968	售后服	73820	100608	1	null
-94969	亚优	65570	20122	1	null
-94970	叛乱	65749	21467	2	{v=1, vn=0}
-94971	呵叻	70013	21621	1	null
-94972	勘测	65536	21208	3	{v=1, vn=3}
-94973	售后服务	65536	94968	3	{l=9}
-94974	售报亭	65536	104343	3	{n=1}
-94975	唯一性	65536	105143	3	{n=0}
-94976	上场	65538	19978	2	{v=5, vn=0}
-94977	售房方	65536	104241	3	{n=1}
-94978	三峡	65537	19977	2	{ns=55}
-94979	哼哈	74636	21756	1	null
-94980	伊克	65552	20234	1	null
-94981	南京市	65536	123232	3	{ns=9}
-94982	唧哝	65536	21799	3	{v=0}
-94983	亚伦	65536	20122	3	{n=0}
-94984	唯利是	72716	106208	1	null
-94985	匪徒	65536	21290	3	{n=4}
-94986	唯利是图	65536	94984	3	{i=2}
-94987	咕噜	65536	21653	3	{o=0}
-94988	味同	72028	21619	1	null
-94989	唯命是	74816	106804	1	null
-94990	唯命是从	65536	94989	3	{i=0}
-94991	唯心主	74951	109690	1	null
-94992	唯心主义	65858	94991	2	{n=2}
-94993	三峰	65536	19977	1	null
-94994	唯我主义	65536	94995	3	{n=0}
-94995	唯我主	74953	110280	1	null
-94996	唯我独尊	65536	104388	3	{i=0}
-94997	刑事犯	65538	94425	2	{n=0}
-94998	唯物主义	65859	94999	2	{n=6}
-94999	唯物主	74957	114464	1	null
-95000	唯物辩证法	65536	101537	3	{n=3}
-95001	唯金牌	65770	122504	1	null
-95002	唱对台	69903	110178	1	null
-95003	倔犟	65536	20500	3	{a=0}
-95004	两小无猜	65536	91647	3	{i=0}
-95005	军令状	65536	118080	3	{n=2}
-95006	唱对台戏	65536	95002	3	{l=0}
-95007	中山狼	65536	108869	3	{n=0}
-95008	唱票人	65536	117713	3	{n=0}
-95009	唾手可	70540	96202	1	null
-95010	哼哧	65536	21756	3	{o=0}
-95011	唾手可得	65536	95009	3	{i=0}
-95012	啃书	68602	21827	1	null
-95013	上坟	65536	19978	3	{v=0}
-95014	啃书本	65536	95012	3	{l=1}
-95015	上坡	65541	19978	2	{v=0}
-95016	啄木	65547	21828	1	null
-95017	商住楼	65536	127499	3	{n=1}
-95018	亥猪	65536	20133	3	{t=0}
-95019	商南县	65536	128531	3	{ns=0}
-95020	商品生产	65536	108372	3	{l=2}
-95021	商务处	65536	128349	3	{n=0}
-95022	借花献	66523	115966	1	null
-95023	压力机	65536	113242	3	{n=0}
-95024	上坪	65536	19978	3	{ns=0}
-95025	丑牛	65536	19985	3	{t=2}
-95026	公安段	65536	119386	3	{n=1}
-95027	伯母	65536	20271	3	{n=0}
-95028	卷尾猴	65536	112049	3	{n=0}
-95029	商品粮棉	65536	110307	3	{j=0}
-95030	农林牧渔	65536	94823	3	{j=1}
-95031	哼哼	73042	21756	2	{v=0}
-95032	商品经济	65536	110852	3	{n=3}
-95033	商城县	65536	129674	3	{ns=0}
-95034	商客居	65536	130654	3	{n=1}
-95035	乌头	65536	20044	3	{n=0}
-95036	商水县	65536	134896	3	{ns=0}
-95037	啜泣	65536	21852	3	{v=0}
-95038	两河	65545	20004	1	null
-95039	产品	65658	20135	2	{n=779}
-95040	元谋猿	67239	120152	1	null
-95041	共和派	65536	104080	3	{n=0}
-95042	卤味	65536	21348	3	{n=0}
-95043	九江	65644	20061	2	{ns=1}
-95044	商标权	65536	133827	3	{n=0}
-95045	伞状	65536	20254	3	{b=1}
-95046	啥子	65536	21861	3	{r=0}
-95047	京官	65536	20140	3	{n=0}
-95048	和平乡	65536	120371	3	{ns=0}
-95049	临床	65549	20020	2	{b=0, d=0, v=12, vd=0, vn=15}
-95050	啦啦	65691	21862	1	null
-95051	动物油	65536	121925	3	{n=0}
-95052	啧啧	72287	21863	2	{o=0}
-95053	事儿	65536	20107	3	{n=6}
-95054	傻劲	66585	20667	2	{n=0}
-95055	啧啧声	65536	95052	3	{n=1}
-95056	唧唧	73015	21799	2	{o=1}
-95057	使坏	65536	20351	3	{v=0}
-95058	啊呀	65536	21834	3	{e=0}
-95059	何其	65536	20309	3	{d=4}
-95060	啮合	65536	21870	3	{v=0}
-95061	名誉权	65536	147698	3	{n=1}
-95062	事先	65536	20107	3	{d=17}
-95063	估测	65536	20272	3	{v=0}
-95064	啼饥号	71560	112740	1	null
-95065	刚果民	68225	107492	1	null
-95066	啼饥号寒	65536	95064	3	{i=0}
-95067	啼呜	65536	21884	3	{v=0}
-95068	变温层	65536	129076	3	{n=0}
-95069	喀什市	65536	97639	3	{ns=0}
-95070	喀喇沁	71033	99374	1	null
-95071	喀喇沁左	65881	95070	1	null
-95072	两法	65536	20004	3	{j=0}
-95073	举止	65575	20030	2	{n=2}
-95074	哼唧	65536	21756	3	{v=0}
-95075	喀布尔	65536	101546	3	{ns=3}
-95076	举步	65536	20030	1	null
-95077	劣弧	65536	21155	3	{n=0}
-95078	喀拉和	65600	102768	1	null
-95079	喀麦隆共	73436	104125	1	null
-95080	喀麦隆共和	72814	95079	1	null
-95081	乱弹	65538	20081	1	null
-95082	君主制	65536	94191	3	{n=1}
-95083	喀麦隆共和国	65536	95080	3	{ns=0}
-95084	哼唱	65536	21756	3	{v=1, vn=1}
-95085	咯噔	65536	21679	3	{o=0}
-95086	唤回	65536	21796	3	{v=0}
-95087	善始善	65806	113191	1	null
-95088	喃喃	65536	21891	3	{o=1}
-95089	善男信	72192	120211	1	null
-95090	哼唷	65536	21756	3	{o=0}
-95091	善男信女	65536	95089	3	{i=1}
-95092	善罢甘休	65536	95512	3	{i=0}
-95093	丝绸版	65536	98430	3	{b=0, n=2}
-95094	凑巧	65536	20945	3	{a=0, ad=0}
-95095	善自为	65700	123462	1	null
-95096	喂养	65536	21890	3	{v=0, vn=1}
-95097	善解人	70251	125503	1	null
-95098	善解人意	65536	95097	3	{i=0}
-95099	唁函	65536	21761	3	{n=0}
-95100	供品	65536	20379	3	{n=0}
-95101	六中	66791	20845	1	null
-95102	喇嘛教	70637	95735	2	{n=0}
-95103	喇嘛教徒	65536	95102	3	{n=0}
-95104	喉科学	65536	108413	3	{n=0}
-95105	事关	65536	20107	3	{v=12}
-95106	喊冤叫	71483	95206	1	null
-95107	喊冤叫屈	65536	95106	3	{i=0}
-95108	喇叭口	65536	95177	3	{n=0}
-95109	喊叫声	65536	95789	3	{n=0}
-95110	事典	65536	20107	3	{n=3}
-95111	上涨率	65536	100718	3	{n=4}
-95112	上镜率	65536	110882	3	{n=1}
-95113	了然	65536	20102	3	{a=1, v=0}
-95114	产出率	65536	94328	3	{n=2}
-95115	不丹王	65538	102602	1	null
-95116	丹麦王	65544	106662	1	null
-95117	产蛋率	65536	107849	3	{n=0}
-95118	乔治王	65536	93450	1	null
-95119	亭亭玉	65538	86163	1	null
-95120	义愤	65536	20041	2	{n=0}
-95121	优良场次率	65536	92965	3	{n=1}
-95122	何况	65536	20309	3	{c=14, d=0}
-95123	偷香盗玉	65639	95971	1	null
-95124	偷香窃玉	65536	96911	3	{i=0}
-95125	优良率	65536	105703	3	{n=1}
-95126	上座率	65536	96877	3	{n=2}
-95127	入学率	65536	114053	3	{n=2}
-95128	兰摧玉	65541	92732	1	null
-95129	再就业率	65536	87750	3	{n=3}
-95130	冰清玉	65536	120074	1	null
-95131	冰肌玉	65541	124817	1	null
-95132	出勤率	65536	122382	3	{n=1}
-95133	出油率	65536	128995	3	{n=2}
-95134	出警率	65536	136848	3	{n=1}
-95135	出错率	65536	139331	3	{n=0}
-95136	分辨率	65536	138996	3	{n=6}
-95137	云团	65536	20113	3	{n=0}
-95138	利润率	65536	117053	3	{n=5}
-95139	乐声	65536	20048	3	{n=1}
-95140	利用率	65536	118975	3	{n=6}
-95141	劳动生产率	65536	88805	3	{n=13}
-95142	升学率	65536	111440	3	{n=2}
-95143	俯泳	65536	20463	3	{v=0}
-95144	十字架	66037	116740	2	{n=0}
-95145	出栏率	65536	127801	3	{n=1}
-95146	休庭	65536	20241	3	{v=3}
-95147	刨根	65577	21032	1	null
-95148	及格率	65536	97267	3	{n=1}
-95149	九泉	66008	20061	2	{n=0}
-95150	发病率	65536	138269	3	{n=2}
-95151	东三环	65536	93995	3	{ns=0}
-95152	丢人现	65542	86063	1	null
-95153	二氧杂环	65550	92073	1	null
-95154	体循环	65536	109448	3	{n=0}
-95155	北三环	65536	122042	3	{ns=0}
-95156	保险费率	65536	103457	3	{n=1}
-95157	专攻	65536	19987	3	{v=0, vn=0}
-95158	六书	65536	20845	3	{n=0}
-95159	北四环	65536	124300	3	{ns=0}
-95160	吭声	65536	21549	3	{v=0}
-95161	专政	65536	19987	3	{n=4, vn=0}
-95162	命中率	65536	105116	3	{n=0}
-95163	唇亡	65542	21767	1	null
-95164	喋喋	75186	21899	1	null
-95165	保险法	65536	125494	3	{n=1}
-95166	商贸城	65536	143348	3	{n=2}
-95167	喋喋不	74927	95164	1	null
-95168	喋喋不休	65536	95167	3	{i=2}
-95169	印度尼	65557	116568	1	null
-95170	喑哑	65536	21905	3	{v=0, vn=0}
-95171	喘吁吁	65536	95936	3	{z=0}
-95172	丰满	65536	20016	3	{a=4, ns=0}
-95173	刑具	65536	21009	3	{n=0}
-95174	仰泳	65536	20208	3	{v=0, vn=3}
-95175	喘喘气	65536	96343	3	{v=1}
-95176	喘嘘嘘	65536	96471	3	{z=0}
-95177	喇叭	73633	21895	2	{n=8}
-95178	产销率	65536	111486	3	{n=7}
-95179	喜上眉梢	65536	96104	3	{i=3}
-95180	喜从天	65680	124802	1	null
-95181	佳肴珍	65536	107230	1	null
-95182	喜光植	65894	125437	1	null
-95183	喜光植物	65536	95182	3	{l=0}
-95184	传输率	65536	121181	3	{n=0}
-95185	八面玲珑	65536	95293	3	{i=1}
-95186	亚俱	65571	20122	1	null
-95187	北京市	65536	122205	3	{ns=192}
-95188	喜冲冲	65536	125542	3	{z=0}
-95189	喜出望	72385	125614	1	null
-95190	丫环	65536	20011	3	{n=0}
-95191	喜出望外	65536	95189	3	{i=4}
-95192	喜剧片	65536	125723	3	{n=5}
-95193	喜唱乐	73646	126437	1	null
-95194	喜唱乐听	65536	95193	3	{l=1}
-95195	债款	65536	20538	3	{n=0}
-95196	乐天	65546	20048	2	{nr=6, nz=0}
-95197	喜孜孜	65536	128016	3	{z=0}
-95198	亮点	65536	20142	3	{n=2}
-95199	冷凝物	65536	113126	3	{n=0}
-95200	买椟还珠	65536	102360	3	{i=0}
-95201	人老珠	65537	121864	1	null
-95202	伊利	65536	20234	3	{nz=22}
-95203	剖腹藏珠	65536	102788	3	{i=0}
-95204	付汇	65544	20184	2	{vn=1}
-95205	合浦还珠	65536	102397	3	{i=0}
-95206	喊冤	73623	21898	2	{v=0}
-95207	喜形于	65578	129046	1	null
-95208	喜忧参	73888	129179	1	null
-95209	凡庸	65536	20961	3	{a=0}
-95210	喜忧参半	65536	95208	3	{i=0}
-95211	发明奖	65536	134246	3	{n=2}
-95212	啼哭	65536	21884	3	{v=0, vn=1}
-95213	一班	65538	19968	1	null
-95214	专修班	65536	89704	3	{n=0}
-95215	一人班	65536	85690	3	{n=0}
-95216	交接班	65536	108687	3	{n=2}
-95217	啊哟	65536	21834	3	{e=0}
-95218	吸附器	65536	123109	3	{n=0}
-95219	中专班	65536	105191	3	{n=2}
-95220	喜怒哀乐	65536	95221	3	{i=5}
-95221	喜怒哀	75172	129222	1	null
-95222	喜怒无常	65536	99605	3	{i=0}
-95223	喜新厌	69139	130660	1	null
-95224	售票厅	65536	110170	3	{n=2}
-95225	占有物	65536	106246	3	{n=0}
-95226	喜新厌旧	65536	95223	3	{i=0}
-95227	刚果河	65536	107492	3	{n=0}
-95228	喜气洋	67314	132296	1	null
-95229	喜气洋洋	65536	95228	3	{i=16}
-95230	喜洋洋	65536	132543	3	{z=2}
-95231	冤情	65536	20900	3	{n=0}
-95232	合成塔	65536	131877	3	{n=0}
-95233	专文	65536	19987	3	{n=1}
-95234	六亲	67656	20845	1	null
-95235	三分球	65536	92199	3	{n=6}
-95236	东半球	65536	95340	3	{n=1}
-95237	乒乓球	65600	86046	2	{n=21}
-95238	一面儿理	65536	86353	3	{l=0}
-95239	任意球	65536	97877	3	{n=2}
-95240	事出	65540	20107	1	null
-95241	企业管理	65592	97917	1	null
-95242	传中球	65536	104439	3	{n=0}
-95243	仙人球	65536	87685	3	{n=0}
-95244	似理非理	65536	104299	3	{l=0}
-95245	使用率	65536	102698	3	{n=1}
-95246	保龄球	65557	127825	2	{n=6}
-95247	克郎球	65536	120452	3	{n=0}
-95248	入情入理	65536	87519	3	{i=0}
-95249	内阁总理	65536	91333	3	{n=2}
-95250	冷处理	65536	114957	3	{n=1}
-95251	净胜球	65536	106490	3	{n=0}
-95252	剪不断理	65559	91787	1	null
-95253	勾股定理	65536	89397	3	{n=0}
-95254	云块	65536	20113	3	{n=0}
-95255	匈牙	67837	21256	1	null
-95256	劫匪	65536	21163	3	{n=3}
-95257	北半球	65536	123387	3	{n=2}
-95258	匪患	65536	21290	3	{n=0}
-95259	南半球	65536	124414	3	{n=3}
-95260	合情合理	65536	93132	3	{i=5}
-95261	后处理	65536	133421	3	{v=0}
-95262	喜滋滋	65536	132991	3	{z=2}
-95263	喜玛拉	65562	134223	1	null
-95264	京山	65680	20140	2	{j=1, ns=0, s=1}
-95265	准确率	65536	109959	3	{n=2}
-95266	切磋琢	65540	116704	1	null
-95267	代总理	65536	99912	3	{n=2}
-95268	喜笑颜开	65536	104637	3	{i=1}
-95269	九流	66076	20061	1	null
-95270	优妮	65536	20248	1	null
-95271	专断	65536	19987	3	{a=0, an=0, vn=0}
-95272	喜迎春	65536	141442	3	{v=2}
-95273	六仙	65537	20845	1	null
-95274	发射器	65536	131676	3	{n=0}
-95275	喜闻乐	65632	143023	1	null
-95276	喜马拉	65564	144160	1	null
-95277	健身球	65536	109502	3	{n=0}
-95278	号码灯	65536	116584	3	{n=0}
-95279	喜马拉雅山	65616	104161	2	{n=1, ns=2}
-95280	喝倒彩	65536	96674	3	{l=0}
-95281	喝六呼	75250	97021	1	null
-95282	伤天害理	65536	89031	3	{i=2}
-95283	叶卡捷琳	70339	92898	1	null
-95284	七弦琴	65536	89994	3	{n=0}
-95285	中提琴	65536	110756	3	{n=0}
-95286	乱弹琴	65536	95081	3	{l=0, v=0}
-95287	低音提琴	65536	91088	3	{l=0}
-95288	六弦琴	65536	99446	3	{n=0}
-95289	东北	65744	19996	2	{f=22, ns=0, s=31}
-95290	喝六呼么	65536	95281	3	{l=0}
-95291	健在	65636	20581	2	{v=0}
-95292	仙山琼	65537	91196	1	null
-95293	八面玲	65536	123990	1	null
-95294	事到	66072	20107	1	null
-95295	喝彩声	65536	100601	3	{n=1}
-95296	喝西北	65578	111375	1	null
-95297	喧声四	65577	98270	1	null
-95298	喧宾夺	75272	98988	1	null
-95299	喧宾夺主	65536	95298	3	{i=0}
-95300	咳声	73056	21683	1	null
-95301	喳喳	65536	21939	3	{o=0}
-95302	喷云吐	65558	116277	1	null
-95303	代为	65536	20195	3	{v=0}
-95304	喷射器	65536	119720	3	{n=0}
-95305	喷水池	65536	123864	3	{n=0}
-95306	喷火器	65536	124943	3	{n=0}
-95307	喷珠泻	65731	125828	1	null
-95308	喷珠泻玉	65536	95307	3	{i=0}
-95309	喷气式	65536	123832	3	{b=0}
-95310	喷薄欲	74327	130344	1	null
-95311	伪政	65642	20266	1	null
-95312	凭单	65536	20973	3	{n=0}
-95313	喷薄欲出	65536	95310	3	{i=0}
-95314	动物淀	65538	121925	1	null
-95315	佳利	65536	20339	3	{nz=0}
-95316	喷薄而出	65536	100648	3	{i=0}
-95317	喷雾器	65536	134818	3	{n=0}
-95318	售票口	65536	110170	3	{n=1}
-95319	仓满	65565	20179	1	null
-95320	喷油嘴	65536	123997	3	{n=0}
-95321	喹啉	65536	21945	3	{n=0}
-95322	喻为	65536	21947	3	{v=0}
-95323	事前	65536	20107	3	{t=3}
-95324	东区	65536	19996	3	{n=1, ns=8, s=1}
-95325	冈琦	65536	20872	3	{nr=0}
-95326	嗉子	65536	21961	3	{n=0}
-95327	嗅到	65536	21957	3	{v=0}
-95328	光学玻	65536	114149	1	null
-95329	嗖嗖	65536	21974	3	{o=1}
-95330	吱声	65536	21553	3	{v=0}
-95331	保护套	65536	112241	3	{n=1}
-95332	倾巢	66328	20542	1	null
-95333	双特班	65536	133073	3	{j=0}
-95334	嗔怒	65536	21972	3	{v=0}
-95335	嗓子	65585	21971	2	{n=3}
-95336	嗜书如	67127	96198	1	null
-95337	东升	65536	19996	3	{nz=1}
-95338	剑拔	65615	21073	1	null
-95339	嗜书如渴	65536	95336	3	{i=1}
-95340	东半	65537	19996	1	null
-95341	伦理	65634	20262	2	{n=4}
-95342	嗜杀成	70728	102560	1	null
-95343	嗜杀成性	65536	95342	3	{i=0}
-95344	东华	65540	19996	2	{j=2}
-95345	嗜痂成	65537	106274	1	null
-95346	嗝儿	65536	21981	3	{n=0}
-95347	代书	65536	20195	3	{v=0}
-95348	令爱	65536	20196	3	{n=0}
-95349	嗟来之	65562	100322	1	null
-95350	嗟叹	65536	21983	3	{v=0}
-95351	东单	65536	19996	3	{ns=1}
-95352	嗡嗡	65536	21985	3	{o=0}
-95353	东南	65746	19996	2	{f=10}
-95354	嗣后	65536	21987	3	{t=0}
-95355	下一	65539	19979	1	null
-95356	嗤之以	65541	95365	1	null
-95357	嗨哟	65536	21992	3	{e=0}
-95358	嗔怪	65536	21972	3	{v=0}
-95359	兰溪	65536	20848	3	{ns=0}
-95360	代乳	65537	20195	1	null
-95361	储蓄率	65536	102957	3	{n=5}
-95362	唾弃	65536	21822	3	{v=3, vn=0}
-95363	光学玻璃	65536	95328	3	{l=0}
-95364	义战	65536	20041	3	{n=0}
-95365	嗤之	75159	21988	1	null
-95366	嗫嗫	73218	21995	1	null
-95367	嗫嗫嚅	73220	95366	1	null
-95368	下不	65654	19979	1	null
-95369	嗫嗫嚅嚅	65536	95367	3	{z=0}
-95370	僵滞	65536	20725	3	{v=0}
-95371	嗬哟	65536	21996	3	{e=1}
-95372	喷油器	65536	123997	3	{n=0}
-95373	催产	65540	20652	2	{v=0}
-95374	售货亭	65536	115225	3	{n=0}
-95375	令牌	65536	20196	3	{n=0}
-95376	嗲声	73376	22002	1	null
-95377	下世	65536	19979	3	{v=0}
-95378	嗲声嗲	67714	95376	1	null
-95379	下丘	65537	19979	1	null
-95380	上下班	65536	92625	3	{j=3, v=0, vn=1}
-95381	三年	65538	19977	1	null
-95382	嗲声嗲气	65536	95378	3	{l=2}
-95383	嗷嗷	74254	22007	2	{o=0}
-95384	卸妆	65536	21368	3	{v=1}
-95385	嗷嗷待哺	65536	98707	3	{i=0}
-95386	嗽叭	72620	22013	1	null
-95387	伦琴	65541	20262	2	{n=0, q=0}
-95388	嗽叭声	65536	95386	3	{n=0}
-95389	嘀噜嘟	73283	95865	1	null
-95390	叔婆	65536	21460	3	{n=0}
-95391	嘀噜嘟噜	65536	95389	3	{z=0}
-95392	催人	65652	20652	1	null
-95393	嘁嘁	73456	22017	1	null
-95394	凝望	65536	20957	3	{v=1}
-95395	嘁嘁喳	73458	95393	1	null
-95396	侨民	65536	20392	3	{n=1}
-95397	嘁嘁喳喳	65536	95395	3	{o=0}
-95398	嘈嘈	68965	22024	1	null
-95399	嘈嘈杂	68967	95398	1	null
-95400	下中	65536	19979	1	null
-95401	嘈嘈杂杂	65536	95399	3	{z=0}
-95402	临快	65536	20020	3	{j=1}
-95403	嘉兴市	65536	107640	3	{ns=8}
-95404	嘉善县	65536	108680	3	{ns=0}
-95405	事功	65536	20107	3	{n=0}
-95406	嘉士伯	65536	109551	3	{nz=0}
-95407	事务	66070	20107	2	{n=85}
-95408	哲人	65536	21746	3	{n=1}
-95409	上士	65536	19978	3	{n=0}
-95410	嘀咕	65536	22016	3	{v=0}
-95411	嘉奖令	65536	109658	3	{n=0}
-95412	勤于	65536	21220	3	{v=1}
-95413	嘉峪关	71349	110574	2	{ns=5}
-95414	上声	65536	19978	3	{n=0}
-95415	嘉峪关市	65536	95413	3	{ns=4}
-95416	嘉年华	75167	110968	2	{n=0}
-95417	嘉年华会	65536	95416	3	{l=2}
-95418	嘉言懿	65613	122116	1	null
-95419	嘘寒问暖	65536	104163	3	{i=6}
-95420	嘲风咏	69045	110217	1	null
-95421	嘲风咏月	65536	95420	3	{i=0}
-95422	嘉陵区	65536	125305	3	{ns=0}
-95423	嘲弄	65536	22066	3	{v=0, vn=0}
-95424	三废	65536	19977	3	{j=0, n=1}
-95425	嘴把式	65536	100684	3	{n=0}
-95426	嘴皮子	65536	105840	3	{n=0}
-95427	嘎嘎	65536	22030	3	{o=1}
-95428	嘹亮	65536	22073	3	{a=3, ad=1}
-95429	卑尔	65665	21329	1	null
-95430	嘻嘻哈	73727	95439	1	null
-95431	嘻嘻哈哈	65536	95430	3	{z=1}
-95432	三座	65537	19977	1	null
-95433	嘿嘿	65536	22079	3	{o=2}
-95434	噗嗤	65536	22103	3	{o=0}
-95435	售票员	65536	110170	3	{n=5}
-95436	噘嘴	65536	22104	3	{v=0}
-95437	咽下	65536	21693	3	{v=0}
-95438	嘟哝	65536	22047	3	{v=0}
-95439	嘻嘻	73726	22075	1	null
-95440	加热炉	65536	126572	3	{n=0}
-95441	升降机	65536	126519	3	{n=0}
-95442	噤若寒	65536	107477	1	null
-95443	噤口	65560	22116	1	null
-95444	器乐曲	65536	96195	3	{n=2}
-95445	器械体	69643	102947	1	null
-95446	君子国	65536	97540	3	{n=0}
-95447	厅房	65536	21381	3	{n=0}
-95448	器械体操	65536	95445	3	{l=0}
-95449	噪声	65536	22122	3	{n=2}
-95450	侨汇	65620	20392	2	{n=1}
-95451	噬脐莫及	65536	99245	3	{i=0}
-95452	下乡	65536	19979	3	{v=119, vn=30}
-95453	今年	65582	20170	2	{n=0, nt=0, t=562}
-95454	佛手瓜	65536	101791	3	{n=0}
-95455	哈密瓜	65536	116569	3	{n=0}
-95456	哈蜜瓜	65536	127663	3	{n=0}
-95457	噬菌体	65536	99363	3	{n=0}
-95458	什物	65536	20160	3	{n=0}
-95459	二尖瓣	65536	101712	3	{n=0}
-95460	依葫芦画瓢	65536	95565	3	{i=0}
-95461	兴奋点	65536	111738	3	{n=2}
-95462	上无片瓦	65536	94793	3	{i=0}
-95463	亚塞诺瓦	65536	101388	1	null
-95464	亚赛诺瓦	65537	101389	1	null
-95465	克什若瓦	65536	99060	3	{ns=0}
-95466	冰消瓦	65545	119949	1	null
-95467	分化瓦	65549	123490	1	null
-95468	养鱼池	65536	123451	3	{n=1}
-95469	募款	65536	21215	3	{v=0}
-95470	博茨瓦	65748	120740	1	null
-95471	上天	65536	19978	3	{n=0, v=1}
-95472	代代	65554	20195	1	null
-95473	冶炼炉	65536	94442	3	{n=0}
-95474	噱头	65536	22129	3	{n=0}
-95475	噼噼啪	73611	95765	1	null
-95476	倍特	65536	20493	3	{nz=0}
-95477	噼噼啪啪	65536	95475	3	{o=2}
-95478	一瓶	65539	19968	1	null
-95479	专业班	65536	89236	3	{n=0}
-95480	伴游	65536	20276	3	{v=0}
-95481	午前	65536	21320	3	{t=0}
-95482	上头	65536	19978	3	{f=0}
-95483	串珠	65536	20018	3	{n=0}
-95484	发射场	65536	131676	3	{n=2}
-95485	嚏喷	65536	22159	3	{n=0}
-95486	倭瓜	65536	20525	3	{n=0}
-95487	嘱咐	65536	22065	3	{v=3, vn=0}
-95488	噎住	65536	22094	3	{v=0}
-95489	嚣张	67822	22179	2	{a=0, an=0}
-95490	嚣张气	66519	95489	1	null
-95491	噼啪	65536	22140	3	{o=1}
-95492	代价	65536	20195	3	{n=22, v=0}
-95493	凭吊	65536	20973	3	{v=1, vn=1}
-95494	嚎叫	65536	22158	3	{v=0}
-95495	嚣张气焰	65536	95490	3	{l=5}
-95496	嚷嚷	65536	22199	3	{v=2}
-95497	囊中物	65536	95803	3	{n=0}
-95498	不可理	65536	104064	1	null
-95499	囊中羞涩	65536	98878	3	{i=0}
-95500	囊空如	67574	107144	1	null
-95501	囊空如洗	65536	95500	3	{i=0}
-95502	囔囔	65536	22228	3	{v=0}
-95503	令人注	65543	86269	1	null
-95504	亲临	65536	20146	3	{v=7, vd=0}
-95505	傻呵	65764	20667	1	null
-95506	东台	65546	19996	2	{ns=0}
-95507	令狐	65536	20196	3	{nr=0}
-95508	任城	65632	20219	1	null
-95509	噻吩	65536	22139	3	{n=0}
-95510	囚首垢	65584	114983	1	null
-95511	占有率	65536	106246	3	{n=2}
-95512	善罢甘	74851	122814	1	null
-95513	四世同	72987	129914	1	null
-95514	不为已甚	65536	89596	3	{i=0}
-95515	不求甚	65537	110291	1	null
-95516	俗气	65536	20439	3	{a=1, an=1}
-95517	四世同堂	65536	95513	3	{l=1}
-95518	四两拨	74431	129928	1	null
-95519	一生	65588	19968	2	{m=0, n=39, t=0}
-95520	一片生	65538	94791	1	null
-95521	一线生	65539	97983	1	null
-95522	七窍生	65536	97009	1	null
-95523	万死一生	65536	85610	3	{i=0}
-95524	三好生	65536	94110	3	{j=0}
-95525	中专生	65536	105191	3	{n=1}
-95526	中学生	65536	108602	3	{n=17}
-95527	中小学生	65536	89102	3	{j=0, n=14}
-95528	乐极生	65536	98868	1	null
-95529	一年生	65536	89716	3	{b=0}
-95530	九死一生	65536	86049	3	{i=0}
-95531	了此一生	65536	86083	3	{l=0}
-95532	五味瓶	65536	106023	3	{n=0}
-95533	人地生	65536	111415	1	null
-95534	代培生	65536	97798	3	{n=0}
-95535	了无生	65537	92211	1	null
-95536	中低产田	65536	85914	3	{j=3}
-95537	不禁不由	65536	85807	3	{d=0}
-95538	东方红二号甲	65536	87040	3	{nz=0}
-95539	三令五申	65536	85661	3	{i=5}
-95540	丢盔卸甲	65536	86904	3	{i=0}
-95541	下人	65536	19979	3	{n=4}
-95542	丢盔弃甲	65536	89859	3	{i=0}
-95543	中央人民广播电	65539	91309	1	null
-95544	丰产田	65536	86922	3	{n=0}
-95545	严父	65536	20005	1	null
-95546	中猿乐町	65536	85934	3	{ns=0}
-95547	丙烯画	65536	94821	3	{n=0}
-95548	交变电	65545	104642	1	null
-95549	亭榭画	65537	93075	1	null
-95550	人身自由	65536	99356	3	{l=0}
-95551	仔猪	65536	20180	3	{n=2}
-95552	主治医生	65536	86903	3	{n=0}
-95553	众学生	65536	93176	3	{n=1}
-95554	优材生	65536	98760	3	{n=0}
-95555	上好	65536	19978	3	{a=1, b=0}
-95556	优等生	65536	103873	3	{n=1}
-95557	休养生	65547	91768	1	null
-95558	低产田	65536	105615	3	{n=0}
-95559	三弦	65536	19977	3	{n=0}
-95560	住校生	65536	95755	3	{n=0}
-95561	住读生	65536	104933	3	{n=0}
-95562	住宿生	65536	92585	3	{n=0}
-95563	侍应生	65536	92297	3	{n=0}
-95564	供用电	65536	103395	3	{j=0}
-95565	依葫芦画	65538	98983	1	null
-95566	井水	65536	20117	3	{n=2}
-95567	人言可畏	65536	87138	3	{i=0}
-95568	俏生生	65536	96736	3	{z=0}
-95569	书画界	65536	113824	3	{n=3}
-95570	保命田	65536	108618	3	{n=1}
-95571	保温瓶	65536	115190	3	{n=0}
-95572	保送生	65536	123854	3	{n=0}
-95573	保险费用	65536	103457	3	{n=0}
-95574	东吴	65536	19996	3	{ns=1}
-95575	信马由	65536	126434	1	null
-95576	事半	65573	20107	1	null
-95577	借鸡生	65537	122990	1	null
-95578	停薪留	65564	117608	1	null
-95579	不分畛	65536	103575	1	null
-95580	健骨生	65536	112571	3	{nz=0}
-95581	值日生	65536	92175	3	{n=0}
-95582	元古界	65536	105777	3	{n=0}
-95583	下令	65536	19979	3	{v=6}
-95584	众擎	65543	20247	1	null
-95585	充放电	65536	99372	3	{v=1, vn=3}
-95586	光化作用	65536	87438	3	{l=0}
-95587	乌孜	65539	20044	1	null
-95588	光合作用	65536	87440	3	{n=1}
-95589	伽利略	65536	86646	3	{nr=3}
-95590	光敏电	65536	116686	1	null
-95591	亲事	65536	20146	3	{n=0}
-95592	万古留	65538	87128	1	null
-95593	光机电	65536	117177	3	{j=1}
-95594	一番	65536	19968	2	{m=40}
-95595	儿童片	65536	98817	3	{n=0}
-95596	休息	65587	20241	2	{n=0, v=14, vn=2}
-95597	光解作用	65536	87468	3	{l=0}
-95598	全世界	65536	112072	3	{n=33}
-95599	体育用	65563	117904	1	null
-95600	公费生	65536	132106	3	{n=0}
-95601	内寄生	65536	120930	3	{n=0}
-95602	军用犬	65536	127876	3	{n=0}
-95603	冰雪界	65536	130543	3	{n=2}
-95604	出芽生	65538	134631	1	null
-95605	使女	65536	20351	3	{n=0}
-95606	下任	65536	19979	3	{b=1}
-95607	几内亚湾	65536	88089	3	{ns=1}
-95608	刚愎自用	65536	98814	3	{i=1}
-95609	初生牛犊不畏	65541	88281	1	null
-95610	别开生	65559	109767	1	null
-95611	京剧界	65536	92694	3	{n=2}
-95612	亚军	65536	20122	3	{n=20}
-95613	切入点	65536	106618	3	{n=6}
-95614	副作用	65536	107644	3	{n=4}
-95615	加急电	65556	122276	1	null
-95616	劣等生	65536	102279	3	{n=1}
-95617	伶牙	65895	20278	1	null
-95618	丁申	65536	19969	3	{m=0}
-95619	专有	65536	19987	2	{b=3, vn=1}
-95620	兆瓦	65536	20806	3	{q=0}
-95621	勃勃生	65901	90848	1	null
-95622	万寿无疆	65536	91629	3	{i=0}
-95623	勃发生	65902	91118	1	null
-95624	关键球	65536	123924	3	{n=0}
-95625	千代田	68185	114701	1	null
-95626	即景生	66426	110854	1	null
-95627	卷吸作用	65536	91220	3	{l=0}
-95628	双差生	65536	127814	3	{j=2}
-95629	反作用	70716	127235	2	{n=1, v=0}
-95630	亲亲	65537	20146	1	null
-95631	人地生疏	65536	95533	3	{i=0}
-95632	仗义疏	65538	86233	1	null
-95633	不容置疑	65536	98334	3	{i=1}
-95634	农牧民	65536	120879	3	{j=6, n=4}
-95635	体育界	65536	117904	3	{n=14}
-95636	勿庸置疑	65536	98159	3	{l=0}
-95637	半信半疑	65536	89552	3	{i=1}
-95638	亲人	65536	20146	3	{n=46}
-95639	双特生	65536	133073	3	{j=0}
-95640	何去	66256	20309	1	null
-95641	取精用	68206	125635	1	null
-95642	受助生	65536	121959	3	{n=0}
-95643	变电所	65536	130880	3	{n=0}
-95644	万用	65537	19975	1	null
-95645	古为今用	65536	92677	3	{i=3}
-95646	叨念	65536	21480	3	{v=0}
-95647	可视电	65707	141699	1	null
-95648	合作医疗	65536	94010	3	{n=0}
-95649	同化作用	65536	93485	3	{l=0}
-95650	付清	65536	20184	3	{v=2}
-95651	同轴电	65718	146027	1	null
-95652	后生可畏	65536	93941	3	{i=0}
-95653	另外	65536	21478	3	{c=60, d=3, r=16}
-95654	传真电	65541	114921	1	null
-95655	兽欲	65536	20861	3	{n=0}
-95656	吐鲁番	65536	120216	3	{ns=4}
-95657	催促	65536	20652	3	{v=2, vn=0}
-95658	人物画	65536	118384	3	{n=1}
-95659	人工免疫	65536	86477	3	{l=0}
-95660	卫生防疫	65536	124744	3	{l=5, n=0}
-95661	初中生	65536	114614	3	{n=0}
-95662	产地	65536	20135	3	{n=8}
-95663	养殖池	65536	110933	3	{n=0}
-95664	发酒疯	65536	145322	3	{v=0}
-95665	厨房	65536	21416	3	{n=16}
-95666	乐此不疲	65536	86026	3	{i=4}
-95667	出口成	65542	122637	1	null
-95668	专机	65536	19987	3	{n=3}
-95669	力尽筋疲	65536	97103	3	{l=0}
-95670	听天由	72460	116312	1	null
-95671	京师	65536	20140	3	{n=1}
-95672	匀整	65536	21248	3	{a=0}
-95673	吹毛求疵	65536	94152	3	{i=0}
-95674	医疗界	65536	114863	3	{n=2}
-95675	吼叫	65536	21564	3	{v=1, vn=0}
-95676	义捐	65536	20041	3	{v=1}
-95677	专权	65536	19987	3	{v=0}
-95678	司法宫	65536	113333	3	{n=0}
-95679	亲代	65536	20146	3	{n=0}
-95680	叮当	72482	21486	1	null
-95681	咎由	65566	21646	1	null
-95682	嘉定区	65536	110238	3	{ns=0}
-95683	嘘唏	65536	22040	3	{v=0}
-95684	唤头	65536	21796	3	{n=0}
-95685	一病	65577	19968	1	null
-95686	丝虫病	65536	100337	3	{n=0}
-95687	不孕症	65536	105958	3	{n=0}
-95688	下位	65536	19979	3	{b=0}
-95689	不治之症	65536	85780	3	{i=0}
-95690	不育症	65536	115523	3	{n=4}
-95691	丧心病	65536	90458	1	null
-95692	伛偻病	65536	86309	3	{n=0}
-95693	佝偻病	65536	86637	3	{n=0}
-95694	下体	65536	19979	3	{n=0}
-95695	克山病	65536	107047	3	{n=0}
-95696	亚凯	65536	20122	1	null
-95697	克雅氏症	65536	93200	3	{n=0}
-95698	不痛不痒	65536	85789	3	{i=0}
-95699	冠心病	65536	96856	3	{n=2}
-95700	出毛病	65536	128773	3	{v=0}
-95701	出血病	65536	136042	3	{n=0}
-95702	冷热病	65536	121078	3	{n=0}
-95703	下作	65536	19979	3	{a=0}
-95704	修理点	65536	108541	3	{n=1}
-95705	厌食症	65536	110524	3	{n=0}
-95706	叶斑病	65536	113291	3	{n=0}
-95707	俯首甘	66773	106570	1	null
-95708	切肤之痛	65536	88234	3	{i=2}
-95709	切齿痛	65566	126612	1	null
-95710	勒石记痛	65536	101448	3	{l=0}
-95711	事发	65536	20107	3	{v=3, vn=0}
-95712	厌弃	65536	21388	3	{vn=0}
-95713	叶锈病	65536	125442	3	{n=0}
-95714	合并症	65536	130955	3	{n=0}
-95715	叛党	65536	21467	3	{v=0}
-95716	三心	65554	19977	1	null
-95717	冠子	65536	20896	3	{n=0}
-95718	事变	65536	20107	3	{n=5}
-95719	两性生	65536	91826	1	null
-95720	云天	65542	20113	2	{n=1}
-95721	后遗症	65536	147584	3	{n=0}
-95722	呆小症	65536	100553	3	{n=0}
-95723	咳嗽病	65536	94545	3	{n=1}
-95724	危险性	65536	123841	3	{n=2}
-95725	传呼电	65544	106054	1	null
-95726	哮喘病	65536	94738	3	{n=0}
-95727	嘀嗒	65536	22016	3	{o=0}
-95728	休想	65536	20241	3	{v=1}
-95729	哺养	65536	21754	3	{v=1}
-95730	伊吹	65536	20234	3	{nr=0}
-95731	云头	65536	20113	3	{n=1}
-95732	函授生	65536	94051	3	{n=1}
-95733	原子价	65536	126179	3	{n=0}
-95734	冰球界	65536	121608	3	{n=2}
-95735	喇嘛	69157	21895	2	{n=3}
-95736	三志	65536	19977	3	{j=1}
-95737	嗷嗷叫	65536	95383	3	{v=0}
-95738	噤口痢	65536	95443	3	{n=0}
-95739	哈哈大	65555	114779	1	null
-95740	医卫界	65536	106115	3	{j=0}
-95741	噻唑	65536	22139	3	{n=0}
-95742	叛兵	65536	21467	3	{n=0}
-95743	刷洗	65536	21047	3	{v=0}
-95744	卫兵	65536	21355	3	{n=1}
-95745	健壮	65536	20581	3	{a=0}
-95746	四两拨千	69730	95518	1	null
-95747	仙游	65719	20185	1	null
-95748	嘶叫	65536	22070	3	{v=0}
-95749	同盟国	65536	139734	3	{n=0}
-95750	四两拨千斤	65536	95746	3	{l=1, n=0}
-95751	别有用	65735	111824	1	null
-95752	嚎哭	65536	22158	3	{v=0}
-95753	哑剧	65536	21713	3	{n=0}
-95754	命令句	65536	105299	3	{n=0}
-95755	住校	65577	20303	2	{v=0}
-95756	匹夫有	65603	89429	1	null
-95757	四个一	65536	129934	3	{j=3}
-95758	四中全	75511	129937	1	null
-95759	佳句	65536	20339	3	{n=0}
-95760	嘟嘟	65536	22047	3	{o=0}
-95761	四中全会	65536	95758	3	{j=8}
-95762	丙璜	65536	19993	1	null
-95763	勤俭	65554	21220	2	{a=3, ad=7, an=0}
-95764	勾兑	65536	21246	3	{v=0}
-95765	噼噼	73609	22140	1	null
-95766	发射塔	65536	131676	3	{n=1}
-95767	值班	65717	20540	2	{v=6, vn=10}
-95768	吓唬	65536	21523	3	{v=0}
-95769	四书五	65809	129994	1	null
-95770	四五事	75560	130040	1	null
-95771	乌尔	65536	20044	1	null
-95772	事后	65536	20107	3	{f=0, t=17}
-95773	几多	65536	20960	3	{r=1}
-95774	四五事件	65536	95770	3	{nz=1}
-95775	四人制	65536	130078	3	{b=0}
-95776	卫冕	65536	21355	3	{v=6, vn=2}
-95777	出租汽	65566	132361	1	null
-95778	四仙桌	65536	130109	3	{n=0}
-95779	冥王	65621	20901	1	null
-95780	叛军	65536	21467	3	{n=0}
-95781	呢子	65536	21602	3	{n=0}
-95782	乳腺瘤	65536	104008	3	{n=0}
-95783	分子溶	65538	125596	1	null
-95784	员外	65536	21592	3	{n=0}
-95785	刘家圪瘩	65536	88671	3	{ns=0}
-95786	四仰八	74338	130132	1	null
-95787	四仰八叉	65536	95786	3	{l=0}
-95788	四体不勤	65536	95826	3	{i=1}
-95789	喊叫	72341	21898	2	{v=1, vn=1}
-95790	京广	65587	20140	2	{j=0}
-95791	依多	65558	20381	1	null
-95792	呜呼	72515	21596	2	{e=0}
-95793	四公开	65536	130768	3	{j=0}
-95794	命令名	65536	105299	3	{n=0}
-95795	四化建	65780	131194	1	null
-95796	乌烟瘴	65544	101094	1	null
-95797	四分五	65538	130922	1	null
-95798	三怕	65536	19977	3	{j=0}
-95799	四叠体	65536	131396	3	{n=0}
-95800	噩梦	65536	22121	3	{n=0}
-95801	四合房	65536	131436	3	{n=0}
-95802	四周围	65536	131532	3	{f=0}
-95803	囊中	66208	22218	2	{s=2}
-95804	乐安	65643	20048	2	{ns=0}
-95805	净土	65536	20928	3	{n=1}
-95806	三思	65547	19977	2	{v=0}
-95807	四增四	74868	132610	1	null
-95808	乱成	66107	20081	1	null
-95809	各向异	68390	123097	1	null
-95810	南北朝	65536	124363	3	{t=0}
-95811	四增四减	65536	95807	3	{j=0}
-95812	四处奔	67940	132712	1	null
-95813	倾心	65801	20542	2	{ad=1, v=3, vd=0, vn=0}
-95814	四处奔波	65536	95812	3	{l=1}
-95815	嘉定县	65536	110238	3	{ns=1}
-95816	三性	65536	19977	3	{j=2}
-95817	四大发明	65536	95824	3	{n=1}
-95818	四大家族	65536	97845	3	{j=0}
-95819	发明家	65536	134246	3	{n=1}
-95820	四季海棠	65536	95845	3	{l=0}
-95821	嘟噜	65536	22047	3	{q=0, v=0}
-95822	乳腺癌	65536	104008	3	{n=8}
-95823	啤酒杯	65536	102744	3	{n=4}
-95824	四大发	69691	132747	1	null
-95825	四季青村	65536	106560	3	{ns=0}
-95826	四体不	74568	130231	1	null
-95827	司法局	65536	113333	3	{n=1}
-95828	传染病	65536	111005	3	{n=2}
-95829	嘶吼	65536	22070	3	{v=0}
-95830	专柜	65536	19987	3	{n=7}
-95831	嗜痂成癖	65536	95345	3	{i=0}
-95832	和平共	71642	120371	1	null
-95833	四座宾	69460	134155	1	null
-95834	叠字	65536	21472	3	{n=0}
-95835	刑名	65536	21009	3	{n=1}
-95836	三总	65539	19977	1	null
-95837	办公桌	65536	100072	3	{n=1}
-95838	单人独	65559	123842	1	null
-95839	四座宾朋	65536	95833	3	{l=1}
-95840	四氯化	65538	137619	1	null
-95841	四海为	72365	137947	1	null
-95842	丝瓜	65536	19997	2	{n=0}
-95843	四海为家	65536	95841	3	{i=0}
-95844	中国画	65536	107473	3	{n=18}
-95845	四季海	68972	133319	1	null
-95846	四联单	65536	142776	3	{n=0}
-95847	四平乡	65536	134103	3	{ns=0}
-95848	互殴	65536	20114	3	{v=0}
-95849	四脚八叉	65536	96270	3	{l=0}
-95850	包装机	65536	127874	3	{n=0}
-95851	四脚朝天	65536	101824	3	{i=0}
-95852	四舍五	75017	143217	1	null
-95853	句式	65536	21477	3	{n=0}
-95854	四舍五入	65536	95852	3	{l=0}
-95855	四轴挠	71244	146648	1	null
-95856	嚎啕	65536	22158	3	{d=0}
-95857	呜咽	65536	21596	3	{v=0}
-95858	卢布	65536	21346	3	{n=58, q=0}
-95859	四轴挠性	65536	95855	3	{n=1}
-95860	四边形	65536	146717	3	{n=0}
-95861	四通八	65672	146814	1	null
-95862	四邻八	69415	146975	1	null
-95863	丛生	65536	19995	3	{v=1}
-95864	四邻八村	65536	95862	3	{i=0}
-95865	嘀噜	73342	22016	1	null
-95866	四郎探	68319	146994	1	null
-95867	五谷丰登	65536	86166	3	{i=4}
-95868	列支敦士登	65536	88312	3	{ns=0}
-95869	一清二白	65536	85651	3	{i=0}
-95870	一百	65536	19968	1	null
-95871	一了百	65537	85638	1	null
-95872	一呼百	65539	87164	1	null
-95873	一穷二白	65536	85654	3	{i=0}
-95874	一身清白	65536	93704	3	{l=0}
-95875	一通百	65538	102426	1	null
-95876	不明不白	65536	85774	3	{i=0}
-95877	丑态百	65536	90327	1	null
-95878	一着不慎全盘皆	65536	95961	1	null
-95879	亮亮的	65536	86483	3	{z=2}
-95880	亲爱的	65536	104717	3	{n=0}
-95881	专栏	65536	19987	3	{n=28}
-95882	他妈的	65536	91056	3	{l=0}
-95883	产业界	65536	93336	3	{n=2}
-95884	一般的	65538	98860	1	null
-95885	人人皆	65540	109249	1	null
-95886	什么的	65536	86209	3	{r=0}
-95887	以一警百	65536	101228	3	{i=0}
-95888	伊丽莎白	65536	99214	3	{nr=1, nz=0}
-95889	众矢之的	65536	86301	3	{i=0}
-95890	信心百	66295	111417	1	null
-95891	值得一提的	65568	91089	1	null
-95892	冠冕堂皇	65536	88069	3	{i=0}
-95893	信息流	65536	111589	3	{n=2}
-95894	刀山火	65551	109053	1	null
-95895	动真格的	65536	92325	3	{l=2}
-95896	勃兰登	66259	90509	1	null
-95897	千了百	66058	114608	1	null
-95898	千伶百	69061	114784	1	null
-95899	千依百	65556	114887	1	null
-95900	千儿八百	65536	89495	3	{m=0}
-95901	千回百	65571	116744	1	null
-95902	千奇百	65855	117361	1	null
-95903	千姿百	65899	117545	1	null
-95904	千娇百	66316	117553	1	null
-95905	千方百	65543	120547	1	null
-95906	千疮百	66145	124632	1	null
-95907	千磨百	65614	125458	1	null
-95908	交流电	65536	111147	3	{n=0}
-95909	千锤百	65562	132686	1	null
-95910	休憩	65536	20241	3	{v=1, vn=0}
-95911	一步登	65539	93029	1	null
-95912	厚厚的	65536	107024	3	{z=12}
-95913	丙申	65536	19993	3	{m=0}
-95914	啼笑皆	65587	104976	1	null
-95915	四体书	65536	130231	3	{n=0}
-95916	四郎探母	65536	95866	3	{n=0}
-95917	四部丛	74932	147020	1	null
-95918	与虎谋皮	65536	101387	3	{i=0}
-95919	中果皮	65536	111728	3	{n=0}
-95920	内果皮	65536	123962	3	{n=0}
-95921	众星	65536	20247	1	null
-95922	刮地皮	65536	92281	3	{l=0}
-95923	单眼皮	65536	134212	3	{n=0}
-95924	厚脸皮	65536	118702	3	{n=0}
-95925	双眼皮	65536	134292	3	{n=0}
-95926	丧生	65540	20007	2	{v=7}
-95927	吹牛皮	65536	115537	3	{v=0}
-95928	十二月	65536	113465	3	{t=26}
-95929	四六体	65536	130769	3	{n=0}
-95930	午后	65536	21320	3	{t=1}
-95931	南丰村	65536	123108	3	{ns=0}
-95932	单耳旁	65536	136507	3	{n=0}
-95933	亲信	65536	20146	3	{n=2}
-95934	四部丛刊	65536	95917	3	{n=0}
-95935	四里八	75872	147248	1	null
-95936	喘吁	73666	21912	1	null
-95937	四里八乡	65536	95935	3	{i=0}
-95938	专案	65538	19987	2	{n=0}
-95939	俯拾皆	65566	92594	1	null
-95940	四重奏	65536	147249	3	{n=1}
-95941	嘟囔	65536	22047	3	{v=0}
-95942	哗变	65536	21719	3	{v=0}
-95943	四面八方	65536	96484	3	{i=10}
-95944	仓满库盈	65536	89776	3	{i=0}
-95945	四面楚歌	65536	102611	3	{i=0}
-95946	不无裨益	65536	100604	3	{i=0}
-95947	切身利益	65536	88237	3	{l=14}
-95948	四面体	65536	148678	3	{n=0}
-95949	四顾无	75796	148962	1	null
-95950	四顾无人	65536	95949	3	{l=1}
-95951	回光返照	65536	102474	3	{i=0}
-95952	中式盐	65536	109539	3	{n=0}
-95953	一监	65536	19968	1	null
-95954	中国证监	65671	101610	1	null
-95955	中性盐	65536	109819	3	{n=0}
-95956	亚硝酸盐	65536	102793	3	{n=3}
-95957	加碘盐	65536	128535	3	{n=1}
-95958	佩玉	65536	20329	3	{n=0}
-95959	临战	65536	20020	3	{v=0, vn=0}
-95960	一盘	65536	19968	1	null
-95961	一着不慎全盘	65536	86377	1	null
-95962	劈天盖	66365	99607	1	null
-95963	久慕盛	65559	90993	1	null
-95964	久负盛	65560	102203	1	null
-95965	享有盛	65536	92490	1	null
-95966	人机界	65541	115521	1	null
-95967	乌兰察布盟	65536	89629	3	{ns=0}
-95968	伊克昭盟	65536	91709	3	{ns=3}
-95969	侵犯	65536	20405	3	{v=18, vn=2}
-95970	七百	65536	19971	2	{m=1, ns=0}
-95971	偷香盗	65546	121251	1	null
-95972	劈头盖	65540	99618	1	null
-95973	南斯拉夫联盟	65536	98458	3	{ns=0}
-95974	南联盟	65536	135944	3	{j=3, n=0}
-95975	卷铺盖	65536	126573	3	{l=0}
-95976	呼伦贝尔盟	65536	94240	3	{ns=1}
-95977	四方步	65536	135965	3	{n=0}
-95978	嘶哑	65536	22070	3	{a=0}
-95979	佳品	65536	20339	3	{n=1}
-95980	召开	65536	21484	3	{v=266, vn=10}
-95981	倘然	65536	20504	3	{c=0}
-95982	一目	65551	19968	1	null
-95983	一叶障目	65536	104092	3	{i=1}
-95984	不堪入目	65536	86601	3	{i=0}
-95985	举世瞩目	65536	96201	3	{i=10}
-95986	九泉瞑目	65536	96617	3	{i=0}
-95987	亲眼目	65536	106008	1	null
-95988	一直	65536	19968	3	{d=184, m=0}
-95989	令人注目	65536	95503	3	{i=1}
-95990	令人瞩目	65536	98256	3	{l=2}
-95991	仪表盘	65536	101258	3	{n=0}
-95992	一相	65537	19968	1	null
-95993	一脉相	65538	98569	1	null
-95994	世代相	65600	87291	1	null
-95995	一往直	65537	89984	1	null
-95996	丞相	65536	19998	3	{n=0}
-95997	互不相	65536	88257	1	null
-95998	主要矛盾	65536	96219	3	{l=2}
-95999	以礼相	65569	114169	1	null
-96000	以诚相	65570	118935	1	null
-96001	一省	65555	19968	1	null
-96002	万博省	65536	86990	3	{ns=0}
-96003	丘疹	65536	19992	3	{n=0}
-96004	丘布特省	65536	94841	3	{ns=0}
-96005	了不相	65537	86112	1	null
-96006	众生相	65536	99761	3	{n=0}
-96007	伤心惨目	65536	90344	3	{i=0}
-96008	令人满	65551	86269	1	null
-96009	举案齐眉	65536	106322	3	{i=0}
-96010	代代相	65990	95472	1	null
-96011	伯乐相	65550	87478	1	null
-96012	亟盼	65536	20127	3	{v=1}
-96013	乳房	65536	20083	3	{n=0}
-96014	似曾相	65542	92943	1	null
-96015	依我看	65536	98086	3	{l=1}
-96016	云南省	65536	94230	3	{ns=32}
-96017	保留剧目	65536	86774	3	{l=2}
-96018	信德省	65536	111405	3	{ns=0}
-96019	俾路支省	65536	91442	3	{ns=1}
-96020	偶蹄目	65536	107545	3	{n=0}
-96021	休战	65536	20241	3	{v=0}
-96022	傧相	65536	20647	3	{n=0}
-96023	休戚	66317	20241	1	null
-96024	傻瓜相	65687	103800	1	null
-96025	习焉	66078	20064	1	null
-96026	光彩夺目	65536	88493	3	{i=0}
-96027	光彩耀目	65536	98419	3	{l=1}
-96028	光灿夺目	65536	88497	3	{i=0}
-96029	兑换率	65536	93150	3	{n=1}
-96030	全息照相	65536	94567	3	{l=0}
-96031	以假乱真	65536	86475	3	{l=0}
-96032	以假充真	65536	87199	3	{l=4}
-96033	信以为真	65536	86785	3	{i=0}
-96034	假戏真	66760	109896	1	null
-96035	兵戈相	65568	111334	1	null
-96036	乐山	65567	20048	2	{ns=2}
-96037	兵戎相	65569	111340	1	null
-96038	出水才看	68142	90751	1	null
-96039	克拉玛	67099	108671	1	null
-96040	出洋相	65536	129077	3	{v=0}
-96041	分外夺目	65536	88571	3	{i=1}
-96042	刮目相	65803	100407	1	null
-96043	佐理	65536	20304	3	{v=0}
-96044	上学	65536	19978	3	{v=30, vn=4}
-96045	加里曼丹省	65536	88764	3	{ns=0}
-96046	勇往直	67756	101807	1	null
-96047	十二属相	65536	93198	3	{l=0}
-96048	丹田	65536	20025	3	{n=1}
-96049	半文盲	65536	126621	3	{n=1}
-96050	凯歌	65536	20975	3	{n=3, nz=1}
-96051	单口相	67844	125163	1	null
-96052	单孔目	65536	127068	3	{n=0}
-96053	印尼盾	65536	115950	3	{n=26}
-96054	历历在目	65536	92665	3	{i=1}
-96055	去伪存真	65536	91353	3	{i=0}
-96056	主产省	65536	103994	3	{n=1}
-96057	反唇相	65745	128686	1	null
-96058	另眼相	65595	103371	1	null
-96059	亚博	65570	20122	1	null
-96060	一眼	65536	19968	3	{d=4}
-96061	一板一眼	65536	85545	3	{i=1}
-96062	一转眼	65536	102252	3	{d=0}
-96063	一饱眼	65536	104817	1	null
-96064	一着	65579	19968	1	null
-96065	不起眼	65536	118792	3	{a=4}
-96066	丢人现眼	65536	95152	3	{l=3}
-96067	佛头着	65536	99464	1	null
-96068	冷眉冷眼	65536	88041	3	{l=0}
-96069	单刀直	69773	124680	1	null
-96070	另眼相看	65536	96058	3	{i=0}
-96071	可逆性	65536	143299	3	{n=0}
-96072	台湾省	65536	132369	3	{ns=5}
-96073	厦新	65536	21414	3	{nz=0}
-96074	合江省	65536	134516	3	{ns=0}
-96075	吉人天相	65536	93186	3	{i=0}
-96076	充塞	65536	20805	3	{v=0}
-96077	另眼看	68307	103371	1	null
-96078	吉萨省	65536	127362	3	{ns=2}
-96079	万盛	65536	19975	3	{ns=0}
-96080	南山村	65536	126757	3	{ns=0}
-96081	同命相	65595	130932	1	null
-96082	同恶相	65627	133997	1	null
-96083	厌恶	65536	21388	3	{v=1, vn=0}
-96084	同病相	69028	139452	1	null
-96085	名实相	72622	135687	1	null
-96086	吐气扬眉	65536	93985	3	{l=0}
-96087	保险灯	65536	125494	3	{n=0}
-96088	吐露真	69214	118857	1	null
-96089	充填	66336	20805	1	null
-96090	向钱看	65536	123081	3	{v=0}
-96091	吸收塔	65536	110551	3	{n=0}
-96092	吹胡子瞪眼	65536	96170	3	{i=1, n=0}
-96093	吾日三省	72613	94175	1	null
-96094	上官	65536	19978	3	{nr=0}
-96095	和睦相	71684	126758	1	null
-96096	三愿	65536	19977	3	{j=3}
-96097	半醒半睡	65536	90560	3	{l=0}
-96098	唇齿相	74374	115865	1	null
-96099	一监督	65536	95953	3	{j=0}
-96100	击鼓督	65546	117477	1	null
-96101	冠盖相	65774	102763	1	null
-96102	哑巴吃	65536	98710	1	null
-96103	亚历	65558	20122	1	null
-96104	喜上眉	68393	124606	1	null
-96105	享用	65536	20139	3	{v=1, vn=0}
-96106	喜眉笑眼	65536	97073	3	{l=0}
-96107	凄怆	65536	20932	3	{an=0}
-96108	咨询台	65536	104336	3	{n=1}
-96109	嗓子眼	65536	95335	3	{n=0}
-96110	回味无	65571	132211	1	null
-96111	卫勤	65536	21355	3	{j=0}
-96112	回嗔作	74198	132564	1	null
-96113	仔畜	65536	20180	3	{n=0}
-96114	回嗔作喜	65536	96112	3	{i=0}
-96115	回天之力	65536	96116	3	{i=0}
-96116	回天之	74968	133417	1	null
-96117	久留	65536	20037	3	{v=2}
-96118	回天乏术	65536	96120	3	{i=0}
-96119	回天无力	65536	102153	3	{i=0, l=1}
-96120	回天乏	69703	133417	1	null
-96121	亲眼目睹	65536	95987	3	{l=3}
-96122	回头是岸	65536	98827	3	{i=0}
-96123	回归热	65536	134994	3	{n=0}
-96124	上家	65536	19978	3	{n=0}
-96125	众目睽睽	65536	96143	3	{i=2}
-96126	回头客	65536	133428	3	{n=1}
-96127	回心转意	65536	102317	3	{i=0}
-96128	亚原	65584	20122	1	null
-96129	回忆录	65536	135110	3	{n=3}
-96130	回报率	65536	135845	3	{n=5}
-96131	信息港	65536	111589	3	{n=1}
-96132	上宾	65536	19978	3	{n=1}
-96133	哑口	68593	21713	1	null
-96134	回教徒	65536	136537	3	{n=0}
-96135	卓有	65756	21331	2	{v=0}
-96136	历史性	65536	101161	3	{b=0, d=0, n=26}
-96137	回旋曲	65536	136651	3	{n=0}
-96138	回油泵	65536	138425	3	{n=0}
-96139	同一天	65536	129271	3	{t=5}
-96140	回流率	65536	138561	3	{n=0}
-96141	办公楼	65536	100072	3	{n=12}
-96142	中央电	65544	108034	1	null
-96143	众目睽	65536	100224	1	null
-96144	凛然	65536	20955	3	{z=2}
-96145	回老家	65536	143361	3	{v=1}
-96146	回肠荡气	65536	99176	3	{i=0}
-96147	仿照	65536	20223	3	{v=2}
-96148	俭省	65536	20461	3	{a=0}
-96149	勾勒	65536	21246	3	{v=2, vn=0}
-96150	回转仪	65536	147308	3	{n=0}
-96151	回音壁	65536	149491	3	{n=0}
-96152	回收塔	65536	136502	3	{n=0}
-96153	回顾展	65536	149630	3	{n=1}
-96154	回马枪	65536	150124	3	{n=0}
-96155	因人制	72704	110357	1	null
-96156	因人制宜	65536	96155	3	{i=0}
-96157	争气	65536	20105	3	{a=2}
-96158	因人成事	65536	100213	3	{i=0}
-96159	因人而异	65536	107889	3	{i=1}
-96160	因企制	72709	110428	1	null
-96161	因企制宜	65536	96160	3	{l=4}
-96162	因势利	72615	111386	1	null
-96163	因势利导	65536	96162	3	{i=4}
-96164	刻度盘	65536	103883	3	{n=0}
-96165	因噎废	65564	112297	1	null
-96166	因变数	65536	111667	3	{n=0}
-96167	因地制	72716	112523	1	null
-96168	因地制宜	65536	96167	3	{i=19}
-96169	因小失大	65536	96171	3	{i=0}
-96170	吹胡子瞪	65568	94161	1	null
-96171	因小失	73346	113770	1	null
-96172	一瞬	65537	19968	2	{t=1}
-96173	众望	65566	20247	2	{n=0}
-96174	因小见大	65536	108603	3	{i=0}
-96175	因式分	65601	114538	1	null
-96176	因循守	70090	114693	1	null
-96177	因循守旧	65536	96176	3	{i=3}
-96178	因时制	72728	116305	1	null
-96179	叛匪	65536	21467	3	{n=0}
-96180	因时制宜	65536	96178	3	{i=1}
-96181	因材施	70238	116651	1	null
-96182	反躬自省	65536	98821	3	{i=0}
-96183	因材施教	65536	96181	3	{i=1}
-96184	乙炔	65536	20057	3	{n=0}
-96185	因果报应	65536	96983	3	{i=0}
-96186	刚柔相	65559	107548	1	null
-96187	因特网址	65536	98275	3	{n=0}
-96188	净增	65536	20928	3	{v=3}
-96189	因果律	65536	116727	3	{n=0}
-96190	下元	65536	19979	3	{ns=0}
-96191	因祸得	65546	121299	1	null
-96192	因陋就	65543	128678	1	null
-96193	囡囡	65536	22241	3	{nr=0}
-96194	共同点	65536	103952	3	{n=3}
-96195	器乐	69090	22120	2	{n=2}
-96196	团中央	65536	123043	3	{nt=27}
-96197	团代会	65536	123225	3	{j=0}
-96198	嗜书	72422	21980	1	null
-96199	劝导	65536	21149	3	{v=2, vn=1}
-96200	团伙化	65536	123279	3	{v=1}
-96201	举世瞩	65539	87573	1	null
-96202	唾手	73522	21822	1	null
-96203	卡片盒	65536	120671	3	{n=0}
-96204	上将	65536	19978	3	{n=18}
-96205	不结盟	65536	115044	3	{v=1, vn=2}
-96206	丑相	65536	19985	3	{n=0}
-96207	上尉	65536	19978	3	{n=4}
-96208	团区委	65536	124336	3	{n=0}
-96209	团十三	73389	124343	1	null
-96210	人情电	65536	113868	3	{n=3}
-96211	叩开	65536	21481	3	{v=1}
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-96213	团县委	65536	124469	3	{n=1}
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-96215	倾慕	65536	20542	3	{v=0, vn=0}
-96216	团委会	65536	126026	3	{j=0}
-96217	团工委	65536	127067	3	{j=0}
-96218	凑手	65536	20945	3	{a=0}
-96219	主要矛	65536	119060	1	null
-96220	劳不矜	67650	107977	1	null
-96221	团市委	65536	127096	3	{n=5}
-96222	团总支	65536	127665	3	{j=0}
-96223	叛卖	65536	21467	3	{v=0}
-96224	凄恻	65536	20932	3	{a=0}
-96225	团拜会	65536	128338	3	{n=28, v=1}
-96226	供大	66542	20379	1	null
-96227	叹观止矣	65536	93069	3	{l=0}
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-96229	一知	65540	19968	1	null
-96230	一无所知	65536	90689	3	{i=0}
-96231	不为人知	65536	85700	3	{l=1}
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-96233	人人皆知	65536	95885	3	{i=0}
-96234	人所共知	65536	86460	3	{i=1}
-96235	他乡遇故知	65536	91466	3	{l=1, n=0}
-96236	众所周知	65536	87202	3	{i=14}
-96237	三长两短	65536	85666	3	{i=0}
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-96239	乐天知	65542	95196	1	null
-96240	争长论短	65536	101317	3	{i=0}
-96241	冷暖自知	65536	98811	3	{i=0}
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-96243	一石	65539	19968	1	null
-96244	他山之石	65536	86241	3	{i=3}
-96245	以卵投石	65536	90775	3	{i=0}
-96246	光卤石	65536	112099	3	{n=0}
-96247	冰晶石	65536	118139	3	{n=0}
-96248	冰洲石	65536	119863	3	{n=0}
-96249	动量矩	65536	129963	3	{n=0}
-96250	取长补短	65536	100498	3	{i=0}
-96251	口服液	65536	128422	3	{n=6}
-96252	可想而知	65536	98546	3	{i=7}
-96253	东四	65536	19996	3	{ns=2}
-96254	动脉瘤	65536	125669	3	{n=0}
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-96258	互济	65536	20114	3	{v=4, vn=0}
-96259	举止矜	65536	95073	1	null
-96260	供奉	65536	20379	3	{n=0, v=3}
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-96262	吸铁石	65536	122722	3	{n=0}
-96263	团省委	65536	133495	3	{j=7}
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-96266	合同工	65536	128289	3	{n=0}
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-96269	受灾户	65536	129596	3	{n=1}
-96270	四脚八	74400	142974	1	null
-96271	囤积居	73418	96762	1	null
-96272	上届	65536	19978	3	{b=10, n=0}
-96273	囤积居奇	65536	96271	3	{i=0}
-96274	囫囵	74746	22251	2	{d=0}
-96275	乙烯	65536	20057	3	{n=9}
-96276	中小学教研	65536	91489	3	{j=1, n=0}
-96277	产学研	65536	96740	3	{j=2}
-96278	刮目相看	65536	96042	3	{i=3}
-96279	似理	65549	20284	1	null
-96280	囫囵吞	69750	96274	1	null
-96281	囫囵吞枣	65536	96280	3	{i=0}
-96282	园丁奖	65536	104505	3	{nz=1}
-96283	乙烷	65536	20057	3	{n=0}
-96284	吴兴	65536	21556	3	{ns=1}
-96285	团体操	65536	123337	3	{n=0}
-96286	响亮	65536	21709	3	{a=5, ad=0}
-96287	园艺学	65536	117938	3	{n=0}
-96288	亲兄	65536	20146	1	null
-96289	和平区	65536	120371	3	{ns=2}
-96290	困兽犹	70284	105241	1	null
-96291	困兽犹斗	65536	96290	3	{i=0}
-96292	北极星	65536	128562	3	{n=0}
-96293	东圃	65542	19996	1	null
-96294	中流砥	65536	113173	1	null
-96295	同工异	67132	133340	1	null
-96296	企业界	65536	86511	3	{n=16}
-96297	园林化	65536	111055	3	{v=1}
-96298	围三缺一	65536	98278	3	{i=0}
-96299	围困战	65536	124049	3	{n=3}
-96300	困难户	65536	122970	3	{n=20}
-96301	围魏救	65587	141552	1	null
-96302	下决	65547	19979	1	null
-96303	囹圄	65536	22265	3	{n=0}
-96304	固体燃料	65536	96939	3	{l=0}
-96305	君主国	65536	94191	3	{n=0}
-96306	固原县	65536	107172	3	{ns=0}
-96307	固定岗	65536	109215	3	{n=1}
-96308	一语道破	65536	102486	3	{i=1}
-96309	不攻自破	65536	98796	3	{i=0}
-96310	势如破	65538	101536	1	null
-96311	上山	65693	19978	2	{v=3, vn=0}
-96312	乘风破	65536	105453	1	null
-96313	各个击破	65536	92998	3	{l=0}
-96314	固定汇率	75270	100323	2	{l=4}
-96315	吓坏	65536	21523	3	{v=0}
-96316	固定汇率制	65536	96314	3	{n=2}
-96317	固执己	65637	110956	1	null
-96318	固定资产	65536	108768	3	{l=27}
-96319	固步自封	65536	98844	3	{i=0}
-96320	固沙林	65536	113566	3	{n=0}
-96321	固色剂	65536	119159	3	{n=0}
-96322	乔石	65536	20052	3	{nr=60}
-96323	义旗	65536	20041	3	{n=0}
-96324	固若金汤	65536	102948	3	{i=0}
-96325	可控硅	65536	131940	3	{n=0}
-96326	二氧化硅	65536	86909	3	{n=0}
-96327	上岁	65538	19978	1	null
-96328	国会山	65536	134905	3	{ns=0}
-96329	丢盔	65536	20002	1	null
-96330	传输码	65536	121181	3	{n=0}
-96331	国债券	65536	135193	3	{n=1}
-96332	义无	65594	20041	1	null
-96333	凄惨	65536	20932	3	{a=1}
-96334	兰特	65536	20848	3	{n=0, nz=0, q=3}
-96335	国内外	65536	135524	3	{j=0, s=81}
-96336	国务委员	76096	98287	2	{l=0, n=51}
-96337	亲兵	65536	20146	3	{n=0}
-96338	吕宋	65539	21525	1	null
-96339	势利眼	65536	99655	3	{n=1}
-96340	哗啦	65536	21719	3	{o=0}
-96341	凭坚	65536	20973	3	{d=0}
-96342	固体潮	65536	106072	3	{n=1}
-96343	喘喘	67507	21912	1	null
-96344	协会	65536	21327	3	{n=186}
-96345	因果性	65536	116727	3	{n=0}
-96346	国务委员会	65536	96336	3	{n=1}
-96347	凄惶	65536	20932	3	{a=1, an=0}
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-96349	上岗	65536	19978	3	{v=40, vn=7}
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-96351	卑微	65536	21329	3	{a=5, an=1}
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-96354	国务院办公	74974	97306	1	null
-96355	国务院办公厅	65536	96354	3	{n=0}
-96356	国土报	65536	136958	3	{n=0}
-96357	国大党	65536	137478	3	{n=21, nt=0}
-96358	国家体委	65536	104872	3	{n=0}
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-96360	国家安全	65564	107998	1	null
-96361	器件	65536	22120	3	{n=1}
-96362	国家所有	65536	109717	3	{l=4}
-96363	国家技术	65957	109781	1	null
-96364	二氧化硫	65536	86909	3	{n=0}
-96365	依存	65557	20381	2	{v=7, vn=1}
-96366	千真万确	65536	89526	3	{i=0}
-96367	园艺家	65536	117938	3	{n=0}
-96368	团结一	71752	135497	1	null
-96369	凑拢	65536	20945	3	{v=0}
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-96371	东坑	65800	19996	1	null
-96372	喝令	65536	21917	3	{v=0}
-96373	国产化	65536	134790	3	{v=3, vn=6}
-96374	国家技术监	65812	96363	1	null
-96375	国家技术监督	72760	96374	1	null
-96376	国家技术监督局	65536	96375	3	{n=0}
-96377	乌干	65538	20044	1	null
-96378	乱摊	65577	20081	1	null
-96379	国家教委	65536	110510	3	{j=44}
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-96381	国家标准	65536	111196	3	{n=7}
-96382	上岸	65536	19978	3	{v=1, vn=0}
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-96384	历史感	65536	101161	3	{n=1}
-96385	国家环保	72770	114180	1	null
-96386	国家环保局	65536	96385	3	{n=0}
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-96393	国家税务总	72778	96392	1	null
-96394	国家税务总局	65536	96393	3	{n=0}
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-96410	协作	66001	21327	2	{v=17, vd=2, vn=23}
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-96523	囿于	65536	22271	3	{v=2}
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-96525	务期	65536	21153	3	{d=0}
-96526	圆凿方	70007	122852	1	null
-96527	圆凿方枘	65536	96526	3	{i=0}
-96528	俊男	65539	20426	1	null
-96529	圆周运动	65536	104230	3	{l=0}
-96530	呢帽	65536	21602	3	{n=1}
-96531	伏旱	65536	20239	3	{n=0}
-96532	圆圆的	65536	124139	3	{z=4}
-96533	圆形动	67245	126279	1	null
-96534	圆形动物	65536	96533	3	{l=0}
-96535	圆括号	65536	127185	3	{n=0}
-96536	圆明园	65536	127987	3	{ns=2}
-96537	健将	65536	20581	3	{n=0}
-96538	下功	65553	19979	1	null
-96539	圆柱体	65536	128470	3	{n=0}
-96540	劲旅	65536	21170	3	{n=5, nz=0}
-96541	圆桌会	65805	128561	1	null
-96542	圆溜溜	65536	130177	3	{z=0}
-96543	圆滚滚	65536	130239	3	{z=0}
-96544	圆舞曲	65536	135171	3	{n=0}
-96545	图书城	65536	122371	3	{n=0}
-96546	圆通山	65536	138751	3	{ns=0}
-96547	圆锥花序	65536	109701	3	{l=0}
-96548	土专家	65536	133589	3	{n=0}
-96549	土产品	65536	133737	3	{n=0}
-96550	乐平	65568	20048	2	{ns=1}
-96551	圆锥体	65536	140042	3	{n=0}
-96552	土伦杯	65536	133864	3	{nz=0}
-96553	可操左	71786	132234	1	null
-96554	土党参	65536	134428	3	{n=0}
-96555	土包子	65536	134855	3	{n=0}
-96556	卯是	69773	21359	1	null
-96557	土卫六	65536	134957	3	{nz=0}
-96558	土地权属	65536	101598	3	{n=0}
-96559	土地管理	68700	106812	1	null
-96560	云山	65536	20113	1	null
-96561	土地管理法	65536	96559	3	{n=5}
-96562	哪些	65536	21738	3	{r=20}
-96563	土地革命	65536	113924	3	{nz=11}
-96564	土堤仓	65536	136166	3	{n=0}
-96565	土尔其	65536	137174	3	{n=0}
-96566	事在	65941	20107	1	null
-96567	土家人	65536	137080	3	{nz=0}
-96568	临摹	65536	20020	3	{v=1}
-96569	土岭乡	65536	137327	3	{ns=0}
-96570	发纵指示	65536	92509	3	{i=0}
-96571	土崩瓦	65609	137451	1	null
-96572	不甘示	65537	112553	1	null
-96573	克己复礼	65536	88498	3	{i=0}
-96574	中少社	65536	108773	3	{j=1}
-96575	九牛	66086	20061	1	null
-96576	九三学社	65536	88950	3	{nt=3}
-96577	人民公社	65536	87942	3	{l=2}
-96578	人民日报社	65536	90789	3	{nt=10, nz=0}
-96579	书画社	65536	113824	3	{n=0}
-96580	亚太经社	65886	98497	1	null
-96581	俄通社	65536	105488	3	{j=6, nt=3}
-96582	信用联社	65536	98815	3	{j=0}
-96583	净菜社	65536	107258	3	{n=1}
-96584	分庭抗礼	65536	90783	3	{i=2}
-96585	加冕礼	65536	118548	3	{n=0}
-96586	原始公社	65536	91411	3	{l=0}
-96587	否定	69429	21542	2	{v=13, vn=0}
-96588	土库曼	70561	137813	2	{n=0}
-96589	土壤学	65536	136358	3	{n=0}
-96590	双人滑	65536	123922	3	{n=0}
-96591	乐府	65536	20048	3	{n=0}
-96592	土库曼斯	74219	96588	1	null
-96593	土库曼斯坦	65536	96592	3	{ns=19}
-96594	土建工	65563	137916	1	null
-96595	土木工	65564	140010	1	null
-96596	土沟村	65536	141409	3	{ns=0}
-96597	唇吻	65536	21767	3	{n=0}
-96598	不祧之祖	65536	85805	3	{i=0}
-96599	光宗耀祖	65536	98304	3	{i=0}
-96600	六合	65537	20845	2	{ns=0}
-96601	土洋并举	65536	96628	3	{l=0}
-96602	土洋结合	65536	104913	3	{l=0}
-96603	土特产	74908	142907	2	{n=4}
-96604	吃大灶	65536	123550	3	{l=0}
-96605	土特产品	65536	96603	3	{n=4}
-96606	一神	65536	19968	1	null
-96607	三叉神	65538	92650	1	null
-96608	三贤祠	65536	107333	3	{ns=0}
-96609	中枢神	65547	111734	1	null
-96610	交感神	65568	108041	1	null
-96611	传入神	65585	105263	1	null
-96612	传出神	65586	105412	1	null
-96613	似神非神	65536	104300	3	{l=1}
-96614	克隆牛	65536	121916	3	{n=2}
-96615	兵贵神	65538	122387	1	null
-96616	云岩	65606	20113	1	null
-96617	九泉瞑	65540	95149	1	null
-96618	信任投票	65536	90780	3	{l=2}
-96619	动眼神	65659	123160	1	null
-96620	云岭	65536	20113	3	{ns=1}
-96621	元神祭	65536	115371	3	{nz=2}
-96622	单程票	65536	134931	3	{n=0}
-96623	卧铺票	65536	114143	3	{n=0}
-96624	周围神	65790	121868	1	null
-96625	四平八	65541	134103	1	null
-96626	土生土	65578	143585	1	null
-96627	变化无	68458	122145	1	null
-96628	土洋并	76571	141517	1	null
-96629	土疙瘩	65536	143707	3	{n=0}
-96630	土皇帝	65536	143945	3	{n=0}
-96631	售票处	65536	110170	3	{n=0}
-96632	人有旦夕祸	65539	88355	1	null
-96633	兵连祸	65616	123068	1	null
-96634	优异	65536	20248	3	{a=18}
-96635	刃片	65536	20995	3	{n=3}
-96636	伊埃	65539	20234	1	null
-96637	储气	65542	20648	1	null
-96638	割地	65536	21106	3	{v=0}
-96639	出谋献	65543	137013	1	null
-96640	包藏祸	65836	127116	1	null
-96641	严令禁	65536	86503	1	null
-96642	令行禁	65551	101007	1	null
-96643	入国问禁	65536	103949	3	{i=0}
-96644	俸禄	65536	20472	3	{n=0}
-96645	国有化	65536	141032	3	{v=2, vn=0}
-96646	依山	66040	20381	1	null
-96647	土石方	65536	144309	3	{n=4}
-96648	刑场	65536	21009	3	{n=1}
-96649	土窑洞	65536	144979	3	{n=1}
-96650	土管员	65536	145251	3	{j=1}
-96651	土耳其	75805	146421	2	{ns=47}
-96652	国民之	73649	142320	1	null
-96653	叠床	66084	21472	1	null
-96654	土耳其共	75026	96651	1	null
-96655	一饱眼福	65536	96063	3	{l=2}
-96656	为民造福	65536	102441	3	{l=1}
-96657	享清福	65536	94278	3	{l=0}
-96658	人有旦夕祸福	65536	96632	3	{i=0}
-96659	作威作福	65536	86631	3	{i=0}
-96660	兴安盟	65536	112312	3	{ns=0}
-96661	中心社	65536	109719	3	{n=0}
-96662	卢瑟福	65536	101582	3	{n=0}
-96663	侵略	65783	20405	2	{v=5, vn=6}
-96664	厚德载福	65536	102288	3	{i=0}
-96665	因祸得福	65536	96191	3	{i=0}
-96666	国务卿	65536	135808	3	{n=27}
-96667	伯爵	65536	20271	3	{n=0}
-96668	伯父	65536	20271	3	{n=0}
-96669	储水	65538	20648	1	null
-96670	土耳其共和	74406	96654	1	null
-96671	优弧	65536	20248	3	{n=0}
-96672	及早	65536	21450	3	{d=16}
-96673	供销社	65536	111547	3	{n=5}
-96674	喝倒	70855	21917	1	null
-96675	土耳其共和国	65536	96670	3	{ns=0}
-96676	嘘声	65536	22040	3	{n=0}
-96677	土腥味	65536	146727	3	{n=0}
-96678	土著人	65536	147481	3	{n=3}
-96679	土著居民	65536	100145	3	{n=0}
-96680	土豪劣	65837	149548	1	null
-96681	土里土	69014	150926	1	null
-96682	土里土气	65536	96681	3	{z=0}
-96683	上工	65536	19978	3	{vn=0}
-96684	土默川	65536	154266	3	{ns=0}
-96685	及时	66783	21450	2	{a=59, ad=137, an=0, d=0}
-96686	圣三利	65536	128947	3	{nz=0}
-96687	圣何塞	65536	129279	3	{ns=4}
-96688	出版法	65536	130418	3	{n=1}
-96689	哪会	73922	21738	1	null
-96690	圣克鲁斯	66227	105605	1	null
-96691	伏暑	65536	20239	3	{t=0}
-96692	圣克鲁斯省	65536	96690	3	{ns=0}
-96693	圣冈丹	65536	129842	3	{ns=0}
-96694	圣卢西亚	65536	100763	3	{ns=2}
-96695	圣地亚	74964	131290	1	null
-96696	专款	65536	19987	3	{n=14}
-96697	圣地亚哥	72632	96695	2	{ns=3}
-96698	圣地亚哥市	65536	96697	3	{ns=0}
-96699	万变不离	65542	85605	1	null
-96700	不即不离	65536	85721	3	{i=0}
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-96702	京戏	65536	20140	3	{n=0}
-96703	众叛亲离	65536	86297	3	{i=0}
-96704	一枝独秀	65536	94956	3	{i=1}
-96705	不徇私	65539	107032	1	null
-96706	不郎不秀	65536	85830	3	{i=0}
-96707	下午	65536	19979	3	{n=0, t=183}
-96708	中饱私	65536	124485	1	null
-96709	下半	65574	19979	1	null
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-96711	以权谋私	65536	101390	3	{l=7}
-96712	上市	65538	19978	2	{v=62, vn=49}
-96713	假公济私	65536	93533	3	{i=1}
-96714	光怪陆离	65536	104017	3	{i=0}
-96715	一日三秋	65536	85536	3	{i=0}
-96716	万古千秋	65536	86866	3	{i=0}
-96717	修身砺	65546	115362	1	null
-96718	光秃秃	65536	121922	3	{z=0}
-96719	八九不离	66255	87567	1	null
-96720	傻头	66719	20667	1	null
-96721	五官科	65536	107852	3	{n=0}
-96722	争分夺秒	65536	88397	3	{i=2}
-96723	作奸犯科	65536	94896	3	{i=0}
-96724	保卫科	65536	108344	3	{n=1}
-96725	云崖	65536	20113	3	{n=0}
-96726	八音盒	65536	124135	3	{n=0}
-96727	公报私	67443	121206	1	null
-96728	兆示	65536	20806	3	{v=2}
-96729	公正无私	65536	91745	3	{i=0, l=0}
-96730	乙状	65553	20057	1	null
-96731	公而忘私	65536	90104	3	{i=1}
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-96733	刀耕火种	65536	94322	3	{i=0}
-96734	代发	65536	20195	3	{v=0}
-96735	佛事	65536	20315	3	{n=0}
-96736	俏生	65585	20431	1	null
-96737	分分秒	65552	123218	1	null
-96738	分分秒秒	65536	96737	3	{n=1}
-96739	上帝	65536	19978	3	{n=11}
-96740	产学	65537	20135	1	null
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-96743	别妻离	65967	108418	1	null
-96744	别连科	65536	122277	3	{n=0}
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-96746	化公为私	65536	88877	3	{i=0}
-96747	十字花科	65536	102051	3	{l=0}
-96748	不可磨	65536	104064	1	null
-96749	南达科	70809	139890	1	null
-96750	刊授	65753	21002	1	null
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-96752	不定人称	65536	85743	3	{n=0}
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-96759	哈利斯科	70585	94612	1	null
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-96766	圣多美和	70547	98297	1	null
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-96768	人烟稀	65542	117990	1	null
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-96793	全过程	65536	128889	3	{n=0}
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-96798	减免税	65536	107304	3	{j=2}
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-96804	不定积	65540	106027	1	null
-96805	前人种	65647	120103	1	null
-96806	土建工程	65536	96594	3	{n=3}
-96807	土木工程	65536	96595	3	{l=0}
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-96825	售货员	65536	115225	3	{n=4}
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-96830	乐律	65536	20048	3	{n=0}
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-96834	圣玛丽	76713	138565	1	null
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-96839	喀土穆	65536	99782	3	{ns=0}
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-96844	下发	65536	19979	3	{v=18, vn=0}
-96845	共享税	65536	102575	3	{n=0}
-96846	圣路易	70818	145305	1	null
-96847	下叔	65549	19979	1	null
-96848	井然	66153	20117	2	{z=0}
-96849	圣路易斯	72784	96846	1	null
-96850	圣路易斯市	65536	96849	3	{ns=2}
-96851	保守疗	65545	110421	1	null
-96852	圣迭戈	65536	145815	3	{ns=0}
-96853	吉祥村	65536	124607	3	{ns=0}
-96854	东头	65536	19996	3	{f=1}
-96855	在制品	65536	118034	3	{n=0}
-96856	冠心	65550	20896	1	null
-96857	佃租	65536	20291	3	{n=0}
-96858	在天之	68072	119813	1	null
-96859	交叉科	65565	104627	1	null
-96860	卧具	65536	21351	3	{n=2}
-96861	在天之灵	65536	96858	3	{i=1}
-96862	咨询团	65536	104336	3	{n=2}
-96863	乘着	65536	20056	3	{p=3}
-96864	在所不	72076	122140	1	null
-96865	亮眼	66010	20142	1	null
-96866	亲历	65536	20146	3	{v=1, vn=1}
-96867	催命	65536	20652	3	{v=0}
-96868	圣马力	65731	148502	1	null
-96869	圣诞卡	65536	144776	3	{n=1}
-96870	在所难免	65536	115473	3	{i=2}
-96871	吴县	70048	21556	1	null
-96872	在所不惜	65536	96864	3	{i=0}
-96873	在押犯	65536	122264	3	{n=1}
-96874	在朝党	65536	123385	3	{n=0}
-96875	下台	65536	19979	3	{v=5, vn=0}
-96876	在校生	65536	123645	3	{n=3}
-96877	上座	65551	19978	2	{n=0}
-96878	再三	65536	20877	3	{d=4}
-96879	在此一	76850	124480	1	null
-96880	在此一举	65536	96879	3	{i=0}
-96881	休整	65536	20241	3	{v=0, vn=2}
-96882	再不	65536	20877	3	{d=5}
-96883	交口称	65540	104653	1	null
-96884	仲秋	65536	20210	3	{t=0}
-96885	在理会	65536	126690	3	{n=0}
-96886	东奔	65539	19996	1	null
-96887	一穷	65546	19968	1	null
-96888	其乐无穷	65536	91751	3	{i=0}
-96889	其味无穷	65536	91753	3	{l=0}
-96890	一场空	65536	87866	3	{n=0}
-96891	一扫而空	65536	98318	3	{i=0}
-96892	一抢而空	65536	98319	3	{i=0}
-96893	一纸空	65537	97976	1	null
-96894	万人空	65536	85806	1	null
-96895	万箭穿	65542	97313	1	null
-96896	三维空	65538	103701	1	null
-96897	不尚空	65536	106155	1	null
-96898	两手空	65545	92374	1	null
-96899	两手空空	65536	96898	3	{i=0}
-96900	买空卖空	65536	86906	3	{i=0}
-96901	人去楼空	65536	92543	3	{i=0}
-96902	假大空	65536	107616	3	{l=0}
-96903	下同	65536	19979	3	{v=4}
-96904	产品税	65536	95039	3	{n=0}
-96905	他山石	65536	91801	3	{n=1}
-96906	冤家路窄	65536	102070	3	{i=0}
-96907	冷暖空	65559	118431	1	null
-96908	充实	65536	20805	3	{a=9, an=1, v=17, vn=0}
-96909	一窍	65583	19968	1	null
-96910	劫掠一空	65536	88798	3	{l=1}
-96911	偷香窃	65547	121251	1	null
-96912	十室九空	65536	89459	3	{i=0}
-96913	供应科	65536	97615	3	{n=0}
-96914	半天空	65536	123455	3	{n=1}
-96915	价电	65602	20215	1	null
-96916	使用税	65536	102698	3	{n=0}
-96917	似的	65536	20284	3	{u=9}
-96918	后患无穷	65536	93916	3	{i=0}
-96919	十年寒窗	65536	94723	3	{i=0}
-96920	哄传	65536	21700	3	{v=0}
-96921	四大皆空	65536	104709	3	{i=0}
-96922	回味无穷	65536	96110	3	{i=2}
-96923	在逃犯	65536	133855	3	{n=0}
-96924	在野党	68963	134314	2	{n=13}
-96925	一窝	65536	19968	1	null
-96926	写下	65536	20889	3	{v=1}
-96927	君士	71631	21531	1	null
-96928	不落窠	65537	116430	1	null
-96929	在野党派	65536	96924	3	{n=1}
-96930	圩垸	65536	22313	3	{n=0}
-96931	变速杆	65536	137770	3	{n=0}
-96932	伊士	65536	20234	1	null
-96933	一窥	65538	19968	1	null
-96934	一斑窥	65536	91537	1	null
-96935	亲友	65536	20146	3	{n=11}
-96936	伤残	66166	20260	2	{v=1, vn=5}
-96937	图书奖	65536	122371	3	{n=2}
-96938	圪台子	65536	97552	3	{ns=0}
-96939	固体燃	70295	106072	1	null
-96940	休斯	65540	20241	2	{nz=0}
-96941	佳境	65536	20339	3	{n=1}
-96942	人造石	65541	125991	1	null
-96943	下吴	65550	19979	1	null
-96944	地下刊物	65536	97213	3	{l=0}
-96945	圭亚	65554	22317	1	null
-96946	三撑	65536	19977	1	null
-96947	俯首称	65540	106570	1	null
-96948	吝惜	65536	21533	3	{v=0}
-96949	临时	65759	20020	2	{a=0, b=42, d=25}
-96950	地中海	65536	136332	3	{ns=18}
-96951	地久天	65581	136356	1	null
-96952	地产税	65536	136454	3	{n=0}
-96953	地价税	65536	136534	3	{n=0}
-96954	地利人	75312	137352	1	null
-96955	参考性	65536	124380	3	{n=0}
-96956	地利人和	65536	96954	3	{i=0}
-96957	剔牙	65536	21076	3	{v=0}
-96958	呈交	65536	21576	3	{v=0}
-96959	亲口	65536	20146	3	{d=1}
-96960	吼声	65536	21564	3	{n=2}
-96961	同床异	66803	133505	1	null
-96962	地动仪	65536	137479	3	{n=0}
-96963	冤枉	65560	20900	2	{a=0, v=2, vn=0}
-96964	再也	65536	20877	3	{d=2}
-96965	地动山摇	65536	100425	3	{i=2}
-96966	地区司	65536	137625	3	{n=0}
-96967	地区差价	65536	99516	3	{n=1}
-96968	发送机	65536	144985	3	{n=0}
-96969	例牌	65536	20363	3	{n=0}
-96970	地史学	65536	137809	3	{n=0}
-96971	三足鼎立	65536	106255	3	{i=0}
-96972	不破不立	65536	85803	3	{l=0}
-96973	亭亭玉立	65536	95119	3	{i=1}
-96974	伫立	65536	20267	3	{v=3}
-96975	凡事预则立	65536	88100	3	{i=1}
-96976	势不两立	65536	88849	3	{i=1}
-96977	企盼	65536	20225	3	{v=13, vn=4}
-96978	地名学	65536	137836	3	{n=0}
-96979	丧礼	65536	20007	3	{n=0}
-96980	地址码	65536	138655	3	{n=0}
-96981	地大物	75644	139142	1	null
-96982	地大物博	65536	96981	3	{i=0}
-96983	因果报	71973	116727	1	null
-96984	地广人	65771	140510	1	null
-96985	中转站	65536	121920	3	{n=1}
-96986	到达站	65536	118535	3	{n=0}
-96987	净宽	65536	20928	3	{n=0}
-96988	商丘站	65536	127188	3	{ns=0}
-96989	圆周率	65536	123469	3	{n=0}
-96990	丑妇竞	65536	88669	1	null
-96991	千帆竞	68065	118576	1	null
-96992	下笔成章	65536	90647	3	{i=0}
-96993	何处	65536	20309	3	{r=3}
-96994	做文章	65536	105798	3	{l=0, v=10}
-96995	全国五一劳动奖章	65536	88509	3	{n=0}
-96996	伊夫	65537	20234	1	null
-96997	军功章	65536	119035	3	{n=4}
-96998	出口成章	65536	95667	3	{i=0}
-96999	农经站	65536	124055	3	{j=0}
-97000	地学家	65536	139717	3	{n=0}
-97001	信用社	65536	116894	3	{n=13}
-97002	器具	65536	22120	3	{n=6}
-97003	地广人稀	65536	96984	3	{i=0}
-97004	上弦	65536	19978	3	{v=0}
-97005	像章	65536	20687	3	{n=0}
-97006	再衰三竭	65536	87755	3	{i=0}
-97007	一端	65536	19968	3	{n=1}
-97008	一锅端	65536	103685	3	{l=1}
-97009	七窍	65539	19971	2	{n=0}
-97010	作恶多端	65536	88357	3	{i=0}
-97011	变化多端	65536	93357	3	{i=1}
-97012	兰生	65536	20848	3	{nz=0}
-97013	吃不开	65536	120708	3	{l=0}
-97014	击伤	65536	20987	3	{v=2}
-97015	员工	65536	21592	3	{n=50, q=0}
-97016	地应力	65536	140531	3	{n=1}
-97017	不足称	65545	118852	1	null
-97018	中国科	65545	107473	1	null
-97019	势如破竹	65536	96310	3	{i=1}
-97020	中山站	65536	108869	3	{n=8, ns=0}
-97021	喝六	73653	21917	1	null
-97022	地心引	75878	140834	1	null
-97023	凑数	65536	20945	3	{v=0}
-97024	凤尾竹	65536	93878	3	{n=0}
-97025	地心引力	65536	97022	3	{l=0}
-97026	中继站	65536	117691	3	{n=0}
-97027	地图学	65536	138589	3	{n=0}
-97028	地对地	65536	139864	3	{b=0}
-97029	凸版	65536	20984	3	{n=0}
-97030	地志学	65536	140854	3	{n=0}
-97031	下和	65551	19979	1	null
-97032	地方主义	65536	101969	3	{l=0, n=0}
-97033	地旷人	65802	142422	1	null
-97034	地旷人稀	65536	97033	3	{l=0}
-97035	地板刷	65536	142814	3	{n=0}
-97036	地滚球	65536	144697	3	{n=0}
-97037	地下党	65536	136298	3	{n=0}
-97038	地灵人	70559	145108	1	null
-97039	地灵人杰	65536	97038	3	{i=0}
-97040	吃里爬	70178	138051	1	null
-97041	一笑	65536	19968	1	null
-97042	一颦一笑	65536	85575	3	{l=1}
-97043	不苟言笑	65536	100868	3	{i=0}
-97044	一笔	65537	19968	1	null
-97045	为着	65536	20026	3	{p=4}
-97046	举止端	65536	95073	1	null
-97047	亲吻	65536	20146	3	{v=1}
-97048	付之一笑	65536	86237	3	{i=0}
-97049	上当	65536	19978	3	{v=11}
-97050	仰天大笑	65536	88437	3	{l=0}
-97051	似笑非笑	65536	104301	3	{l=0}
-97052	元珠笔	65536	113965	3	{n=0}
-97053	口诛笔	72431	137844	1	null
-97054	哂笑	65536	21698	3	{v=0}
-97055	凤梧	68039	20964	2	{ns=0}
-97056	凤梨	65536	20964	3	{n=0}
-97057	哄堂大笑	65536	94605	3	{i=0}
-97058	古典式	65536	126868	3	{b=0, n=1}
-97059	哄然大笑	65536	94606	3	{i=0}
-97060	哈哈大笑	65536	95739	3	{l=0}
-97061	侠盗	65536	20384	3	{n=0}
-97062	休止符	65536	98399	3	{n=0}
-97063	元字符	65536	107684	3	{n=0}
-97064	全音符	65536	130981	3	{n=0}
-97065	八分音符	65536	104443	3	{n=0}
-97066	分隔符	65536	140768	3	{n=0}
-97067	制表符	65536	124138	3	{n=0}
-97068	书香门第	65536	104294	3	{i=0}
-97069	加里波第	65536	93833	3	{n=0}
-97070	助记符	65536	120574	3	{n=0}
-97071	哑然失笑	65536	94681	3	{i=0}
-97072	似真	66048	20284	1	null
-97073	喜眉笑	65582	135101	1	null
-97074	喊声	65536	21898	3	{n=2}
-97075	保护性	65536	112241	3	{b=0, n=2}
-97076	嘻皮笑	65574	103746	1	null
-97077	圆珠笔	65536	131525	2	{n=5}
-97078	地热学	65536	145228	3	{n=0}
-97079	上影	65538	19978	1	null
-97080	习用	65560	20064	2	{n=0}
-97081	圣安东	73200	132403	1	null
-97082	地球化学	65536	98680	3	{n=0}
-97083	代售	65536	20195	3	{v=0, vn=0}
-97084	下品	65536	19979	3	{n=0}
-97085	地理学	65536	146021	3	{n=1}
-97086	原始林	65536	125790	3	{n=1}
-97087	南天竹	65536	125917	3	{n=0}
-97088	地矿厅	65536	147038	3	{n=4}
-97089	刷牙	65536	21047	3	{v=2}
-97090	哺乳室	65536	94953	3	{n=0}
-97091	丙种	65536	19993	1	null
-97092	地空导	72717	147673	1	null
-97093	偶数	65536	20598	3	{n=0}
-97094	地空导弹	65536	97092	3	{n=0}
-97095	医疗站	65536	114863	3	{n=5}
-97096	个私	65536	20010	3	{j=0}
-97097	一等	65537	19968	2	{b=3}
-97098	三六九等	65536	85619	3	{l=3}
-97099	仿生	65587	20223	2	{b=1}
-97100	伤脑筋	65536	102446	3	{v=3}
-97101	付现	65536	20184	3	{v=0}
-97102	低人一等	65536	86508	3	{l=0}
-97103	力尽筋	65539	108725	1	null
-97104	三支	65622	19977	1	null
-97105	上层建筑	65536	89850	3	{l=11}
-97106	债台高筑	65536	105179	3	{i=2}
-97107	乐悠	65536	20048	1	null
-97108	传声筒	65536	107194	3	{n=1}
-97109	万花筒	65536	99109	3	{n=0}
-97110	三光政策	65536	91455	3	{nz=0}
-97111	万全之策	65536	85603	3	{n=0}
-97112	优惠	66290	20248	2	{a=2, ad=0, b=0, d=0, n=1, v=9, vd=2, vn=57}
-97113	修饰符	65536	118119	3	{n=0}
-97114	三改	65659	19977	1	null
-97115	净尽	65536	20928	3	{z=1}
-97116	出谋划策	65536	88163	3	{i=4}
-97117	出谋献策	65536	96639	3	{i=0}
-97118	别无良策	65536	101869	3	{l=0}
-97119	何如	65536	20309	3	{r=0}
-97120	凡是	65536	20961	3	{d=20, j=0, r=0, v=1}
-97121	加人一等	65536	88721	3	{i=0}
-97122	专注	65536	19987	3	{a=0, v=2, vd=1, vn=1}
-97123	加尔各答	65536	88735	3	{ns=0}
-97124	世界	65924	19990	2	{n=1154}
-97125	初见端	67761	129866	1	null
-97126	再生父	65548	106884	1	null
-97127	仿画	65536	20223	3	{n=1}
-97128	亲和	65585	20146	2	{a=1}
-97129	动脑筋	65536	125677	3	{v=3}
-97130	伏案	65536	20239	3	{v=0, vd=0}
-97131	古建筑	65536	130326	3	{n=2}
-97132	亚型	65536	20122	3	{n=3, nz=1}
-97133	各色人等	65536	93098	3	{l=1}
-97134	同化政策	65536	99088	3	{l=0}
-97135	俏皮	65545	20431	2	{a=0}
-97136	台球桌	65536	133782	3	{n=1}
-97137	俗物	65536	20439	3	{n=0}
-97138	乱杂	65536	20081	3	{a=0}
-97139	喂奶	65536	21890	3	{v=0}
-97140	土政策	65536	139521	3	{n=0}
-97141	判官	65536	21028	3	{n=0}
-97142	丙稀	65536	19993	3	{n=0}
-97143	判定	65536	21028	3	{v=5, vn=0}
-97144	地窨子	65536	147719	3	{n=0}
-97145	一筹	65536	19968	2	{n=1}
-97146	三教	65568	19977	1	null
-97147	使役	65536	20351	3	{v=0}
-97148	人造磁	65537	125991	1	null
-97149	先拔头筹	65536	88491	3	{i=0}
-97150	地缘政	69327	148855	1	null
-97151	再会	65536	20877	3	{v=0}
-97152	删繁就简	65536	89335	3	{i=0}
-97153	可见度	65536	141694	3	{n=0}
-97154	冤案	65536	20900	3	{n=2}
-97155	创作界	65536	105904	3	{n=2}
-97156	伊始	65536	20234	3	{t=0, v=11}
-97157	何妨	65536	20309	3	{d=0, r=0}
-97158	叛国	65590	21467	2	{v=0}
-97159	因陋就简	65536	96192	3	{i=2}
-97160	卫国	70311	21355	1	null
-97161	上心	65536	19978	3	{a=1}
-97162	地缘政治	73766	97150	1	null
-97163	啤酒沫	65536	102744	3	{n=0}
-97164	地缘政治学	65536	97162	3	{n=2}
-97165	地缘文化	65536	97222	3	{n=1}
-97166	噎嗝	65536	22094	3	{n=0}
-97167	地脚螺丝	65536	100286	3	{n=0}
-97168	伸畅	65536	20280	3	{a=0}
-97169	地老天	65538	149088	1	null
-97170	地表水	65536	151239	3	{n=1}
-97171	地覆天	65945	151525	1	null
-97172	使徒	65536	20351	3	{n=0}
-97173	乱来	65536	20081	3	{v=1}
-97174	地角天	69101	151601	1	null
-97175	人有千算	65536	86934	3	{i=0}
-97176	估斤算	66321	93104	1	null
-97177	使得	65536	20351	3	{v=42, vn=0}
-97178	反攻倒算	65536	92414	3	{i=0}
-97179	四则运算	65536	102469	3	{l=0}
-97180	地角天涯	65536	97174	3	{i=0}
-97181	地税局	65536	147565	3	{j=8}
-97182	地质学家	65536	98768	3	{n=1}
-97183	地道战	65536	153266	3	{n=0}
-97184	地铁站	65536	154400	3	{n=3}
-97185	三不管	65536	91182	3	{n=0}
-97186	三极管	65536	97698	3	{n=0}
-97187	丝竹管	65536	97407	1	null
-97188	两极管	65536	93708	3	{n=0}
-97189	二极管	65536	104635	3	{n=0}
-97190	交警车管	65545	102250	1	null
-97191	倾箱倒箧	65536	87319	3	{i=0}
-97192	单簧管	65536	135471	3	{n=0}
-97193	几度	65536	20960	3	{m=6}
-97194	双簧管	65536	135551	3	{n=0}
-97195	丰盈	65536	20016	3	{a=1}
-97196	地雷战	65536	154966	3	{n=1}
-97197	一箭	65536	19968	1	null
-97198	光阴似箭	65536	87469	3	{i=0}
-97199	呕心	66392	21589	1	null
-97200	地震烈度	65536	106505	3	{l=2}
-97201	保洁箱	65536	114894	3	{n=0}
-97202	信报箱	65538	112155	2	{n=12}
-97203	两用	65742	20004	2	{b=1, n=2}
-97204	副油箱	65536	115161	3	{n=0}
-97205	匡算	65536	21281	3	{v=1}
-97206	地面水	65536	155073	3	{n=0}
-97207	地黄牛	65536	156963	3	{n=0}
-97208	圣马可	65536	148502	3	{ns=2}
-97209	刘桥	65536	21016	3	{ns=19}
-97210	均热炉	65536	107405	3	{n=0}
-97211	吃得开	65536	125198	3	{a=0}
-97212	均衡性	65536	113409	3	{n=2}
-97213	地下刊	67655	136298	1	null
-97214	丰盛	65536	20016	3	{a=9, an=0, nz=0}
-97215	云开	65568	20113	1	null
-97216	坍缩星	65536	107166	3	{n=0}
-97217	坍塌	65536	22349	3	{v=8, vn=0}
-97218	乐意	65536	20048	3	{v=2, vd=0}
-97219	佳妙	65634	20339	1	null
-97220	坎上乡	65536	104748	3	{ns=0}
-97221	喧哗	65536	21927	3	{v=0}
-97222	地缘文	75895	148855	1	null
-97223	坂下	65536	22338	3	{ns=0}
-97224	午夜	65536	21320	3	{t=10}
-97225	嘴唇	65536	22068	3	{n=6}
-97226	健康	65536	20581	3	{a=144, ad=63, an=46, n=0, vn=0}
-97227	坎伯兰	65536	105041	3	{n=0}
-97228	坎儿井	65536	105569	3	{n=0}
-97229	坎坷不	73057	107161	1	null
-97230	八宝箱	65536	108689	3	{n=0}
-97231	临朐	65565	20020	2	{ns=0}
-97232	享福	65536	20139	3	{v=0}
-97233	功亏一篑	65536	88707	3	{i=1}
-97234	乐感	65536	20048	3	{n=0}
-97235	出水管	65536	128862	3	{n=0}
-97236	坎坷不平	65536	97229	3	{l=1}
-97237	坎大哈	65536	107593	3	{ns=4}
-97238	哪儿	65536	21738	3	{r=11}
-97239	合唱曲	65536	128582	3	{n=0}
-97240	坎帕拉	65536	108855	3	{ns=2}
-97241	协力	65536	21327	3	{d=1, n=0, nz=1, v=0, vn=0}
-97242	坎诺特	65536	120604	3	{nz=0}
-97243	坏主意	65536	99364	3	{n=0}
-97244	协办	68992	21327	2	{v=8, vn=1}
-97245	古北新	71384	127283	1	null
-97246	动物界	65536	121925	3	{n=1}
-97247	伴生	65539	20276	2	{v=3, vn=0}
-97248	农电站	65536	121597	3	{j=0, n=2}
-97249	医药箱	65536	118407	3	{n=0}
-97250	另当	71722	21478	1	null
-97251	可比性	65536	134033	3	{n=2}
-97252	击倒	65536	20987	3	{v=0}
-97253	坏人坏	77147	99491	1	null
-97254	坏人坏事	65536	97253	3	{l=1}
-97255	协助	65536	21327	3	{v=42, vd=0, vn=6}
-97256	坏分子	65536	100335	3	{n=0}
-97257	保健站	65536	107570	3	{n=0}
-97258	坏血病	65536	114217	3	{n=1}
-97259	坐井观天	65536	100909	3	{i=1}
-97260	傻子	65536	20667	3	{n=0}
-97261	坐享其	72158	125908	1	null
-97262	坐享其成	65536	97261	3	{i=0}
-97263	写作	65536	20889	3	{v=11, vn=9}
-97264	今文	65536	20170	3	{n=0}
-97265	坐以待	69657	125966	1	null
-97266	坐以待毙	65536	97265	3	{i=0}
-97267	及格	65573	21450	2	{v=3, vn=0}
-97268	坐冷板	76290	126688	1	null
-97269	坐冷板凳	65536	97268	3	{l=0}
-97270	坐卧不	73846	127120	1	null
-97271	坐卧不宁	65536	97270	3	{i=0}
-97272	坐吃山	65920	127276	1	null
-97273	临机	65553	20020	1	null
-97274	坐吃山空	65536	97272	3	{i=1}
-97275	坐喷气	72941	127712	1	null
-97276	坐喷气式	65536	97275	3	{l=0}
-97277	仓皇	65596	20179	2	{ad=0}
-97278	坐地分	65642	128089	1	null
-97279	坐卧不安	65536	97270	3	{i=0}
-97280	坐失良机	65536	98981	3	{i=1}
-97281	三无	65536	19977	3	{j=0}
-97282	坐收渔	76250	131679	1	null
-97283	坐收渔利	65536	97282	3	{i=0}
-97284	坐立不	73852	137204	1	null
-97285	坐立不安	65536	97284	3	{i=0}
-97286	坐观成	65673	141035	1	null
-97287	坐视不	71354	141039	1	null
-97288	坐骨神	66252	145361	1	null
-97289	土豆泥	65536	149512	3	{n=0}
-97290	光导管	65536	114299	3	{n=0}
-97291	坐视不救	65536	97287	3	{i=0}
-97292	坑坑洼	69330	108385	1	null
-97293	其一	65536	20854	3	{r=19}
-97294	坑坑洼洼	65536	97292	3	{l=1}
-97295	坑道战	65536	122979	3	{n=0}
-97296	咫尺天	66432	94508	1	null
-97297	兽医站	65536	89520	3	{n=0}
-97298	哪会子	65536	96689	3	{r=0}
-97299	坚不可	71597	111741	1	null
-97300	坚不可摧	65536	97299	3	{i=2}
-97301	坚信不	67206	112209	1	null
-97302	其三	65536	20854	3	{r=8}
-97303	坚信不疑	65536	97301	3	{i=0}
-97304	响动	65536	21709	3	{n=0, v=1}
-97305	坚壁清	65624	114481	1	null
-97306	国务院办	75510	113789	1	null
-97307	功德碑	65536	110847	3	{n=0}
-97308	块儿	65536	22359	3	{n=0}
-97309	坚如磐	66604	114674	1	null
-97310	倾斜	65569	20542	2	{v=16, vd=0, vn=14}
-97311	坚如磐石	65536	97309	3	{i=0}
-97312	坚定不移	65536	97317	3	{i=35}
-97313	万箭	65536	19975	1	null
-97314	圈养	65536	22280	3	{v=1, vn=1}
-97315	佛像	65536	20315	3	{n=6}
-97316	各有所	70182	127953	1	null
-97317	坚定不	66085	115210	1	null
-97318	坚强不	73695	116138	1	null
-97319	坚强不屈	65536	97318	3	{i=1}
-97320	云彩	65536	20113	3	{n=0}
-97321	使性	65667	20351	1	null
-97322	丑妇竞簪	65541	96990	1	null
-97323	坚忍不	72025	116285	1	null
-97324	兑现	65536	20817	3	{v=10, vn=0}
-97325	坚忍不拔	65536	97323	3	{i=0}
-97326	兔皮	65536	20820	3	{n=0}
-97327	三明	65538	19977	2	{ns=0}
-97328	坚持不	72327	117105	1	null
-97329	坚毅不	73706	119349	1	null
-97330	坚毅不屈	65536	97329	3	{i=0}
-97331	坚苦卓	66241	125270	1	null
-97332	坚贞不	73727	127886	1	null
-97333	坚韧不	72034	130647	1	null
-97334	坚韧不拔	65536	97333	3	{i=5}
-97335	坛子岭	65536	98727	3	{ns=2}
-97336	坞乡	65641	22366	1	null
-97337	坡耕地	65536	107846	3	{n=0}
-97338	其中	65536	20854	3	{r=444}
-97339	人文科	65570	115086	1	null
-97340	坦佩雷市	65536	104240	3	{ns=0}
-97341	发球权	65536	137819	3	{n=0}
-97342	仓盈	65537	20179	1	null
-97343	亚塞	65554	20122	1	null
-97344	三星	65538	19977	2	{n=0, nz=2}
-97345	作文簿	65536	113900	3	{n=0}
-97346	功劳簿	65536	107515	3	{n=0}
-97347	坦坦然	68367	104265	1	null
-97348	优质稻	65536	108448	3	{n=8}
-97349	坦坦然然	65536	97347	3	{z=0}
-97350	三春	65536	19977	1	null
-97351	坚贞不屈	65536	97332	3	{i=1}
-97352	三昧	65536	19977	3	{n=1}
-97353	坦克兵	65536	102702	3	{n=0}
-97354	坦桑尼	77238	108596	1	null
-97355	咽喉	65762	21693	2	{n=7}
-97356	价目	65604	20215	2	{n=0}
-97357	国富民强	65536	96409	3	{i=0}
-97358	今日	65536	20170	3	{t=52}
-97359	坚持不懈	65536	97328	3	{i=28}
-97360	坦桑尼亚	65876	97354	2	{ns=7}
-97361	坦桑尼亚联合	76513	98728	1	null
-97362	坦桑尼亚联合共	75719	97361	1	null
-97363	坦桑尼亚联合共和	75096	97362	1	null
-97364	压缩疗	65579	124648	1	null
-97365	坦桑尼亚联合共和国	65536	97363	3	{ns=0}
-97366	坦白从	73884	112224	1	null
-97367	乙申	65536	20057	3	{m=0}
-97368	亏空	65536	20111	3	{n=0, v=0}
-97369	坦白从宽	65536	97366	3	{i=0}
-97370	坦诚相	72918	117693	1	null
-97371	坦诚相待	65536	97370	3	{i=0}
-97372	坨子	65536	22376	3	{n=0}
-97373	其乐	65671	20854	1	null
-97374	坩埚	65545	22377	2	{n=0}
-97375	乌托	65536	20044	1	null
-97376	坪上	70929	22378	2	{ns=0}
-97377	坡地	65536	22369	3	{n=1}
-97378	坪上村	65536	97376	3	{ns=2}
-97379	坪石乡	65536	108105	3	{ns=0}
-97380	坷垃	65536	22391	3	{n=2}
-97381	凝滞	65536	20957	3	{v=0}
-97382	垂垂老矣	65536	98737	3	{i=0}
-97383	中央税	65536	108034	3	{n=0}
-97384	劣株	65536	21155	3	{n=0}
-97385	勇为	65536	21191	3	{v=4}
-97386	垂头丧	69719	110727	1	null
-97387	垂头丧气	65536	97386	3	{i=0}
-97388	三晋	65536	19977	3	{j=1}
-97389	凸现	65536	20984	3	{v=5}
-97390	垂帘听	71472	111979	1	null
-97391	垂帘听政	65536	97390	3	{i=0}
-97392	垂手可	72922	113054	1	null
-97393	垂手可得	65536	97392	3	{i=0}
-97394	垂手而得	65536	108685	3	{i=0}
-97395	一米	65538	19968	1	null
-97396	写信	67613	20889	2	{v=8}
-97397	厘米	65568	21400	2	{q=23}
-97398	吹糠见米	65536	100888	3	{i=0}
-97399	劣根	65687	21155	1	null
-97400	喷气机	65536	123832	3	{n=0}
-97401	发令枪	65536	128316	3	{n=0}
-97402	勺状	65559	21242	1	null
-97403	一类	65536	19968	3	{b=0}
-97404	不伦不类	65536	85710	3	{i=0}
-97405	今昔	65536	20170	3	{n=1}
-97406	余可类	65537	103229	1	null
-97407	丝竹	65538	19997	2	{n=1}
-97408	依此类	65539	100473	1	null
-97409	全人类	65536	112236	3	{n=0}
-97410	克什米	65564	103542	1	null
-97411	分门别类	65536	88213	3	{i=0}
-97412	严禁	65536	20005	3	{ad=1, v=25, vn=0}
-97413	古人类	69280	126166	2	{n=4}
-97414	嘘寒	65781	22040	1	null
-97415	后来居	73940	137102	1	null
-97416	发展性	65536	131757	3	{n=3}
-97417	五香粉	65536	123725	3	{n=0}
-97418	代乳粉	65536	95360	3	{n=0}
-97419	动物淀粉	65536	95314	3	{l=0}
-97420	发酵粉	65536	145357	3	{n=0}
-97421	咖喱粉	65536	94587	3	{n=0}
-97422	今春	65536	20170	3	{t=3}
-97423	垂暮之	73245	114177	1	null
-97424	分子生	65558	125596	1	null
-97425	垂暮之年	65536	97423	3	{i=1}
-97426	坡坡	65536	22369	3	{n=0}
-97427	乙种粒	65573	98545	1	null
-97428	垂杨柳	65536	114363	3	{n=0}
-97429	垂死挣	72264	115406	1	null
-97430	垂死挣扎	65536	97429	3	{i=0}
-97431	五大三粗	65536	86126	3	{l=0}
-97432	今是	65556	20170	1	null
-97433	其二	65536	20854	3	{r=17}
-97434	垂涎三	73826	115937	1	null
-97435	国民党	65536	142320	3	{n=31, nt=0}
-97436	垂涎三尺	65536	97434	3	{i=0}
-97437	佛光	65543	20315	1	null
-97438	垂涎欲滴	65536	104899	3	{i=0}
-97439	垂首帖	65923	127209	1	null
-97440	僵直	65536	20725	3	{z=0}
-97441	垃圾	75291	22403	2	{n=53}
-97442	垄断资本	65536	102144	3	{l=1}
-97443	周转率	65536	136324	3	{n=0}
-97444	垒球	70613	22418	2	{n=0}
-97445	僧多粥	65558	90099	1	null
-97446	一锅粥	65536	103685	3	{l=0, n=0}
-97447	垒球棒	65536	97444	3	{n=0}
-97448	卯榫	65536	21359	3	{n=0}
-97449	佳婿	65536	20339	3	{n=0}
-97450	佛头着粪	65536	96067	3	{i=0}
-97451	东安	65536	19996	3	{nz=9}
-97452	垛子	65536	22427	3	{n=0}
-97453	东宋	65543	19996	1	null
-97454	专储粮	65536	89890	3	{n=0}
-97455	仓盈粮	66215	97342	1	null
-97456	坟丘	65536	22367	3	{n=0}
-97457	一枕黄粱	65536	106180	3	{i=0}
-97458	切尔米	65567	109353	1	null
-97459	侧影	65536	20391	3	{n=0}
-97460	印度支	65542	116568	1	null
-97461	万籁	65538	19975	1	null
-97462	垢污	65536	22434	3	{n=0}
-97463	光电管	65536	120756	3	{n=0}
-97464	垣曲	76026	22435	1	null
-97465	垣曲县	65536	97464	3	{ns=2}
-97466	劫富	65567	21163	1	null
-97467	垦殖场	65536	103715	3	{n=2}
-97468	垫上运动	65536	102524	3	{l=0}
-97469	勇于	65536	21191	3	{d=2, v=25, vd=0}
-97470	人工授精	65536	91144	3	{l=0}
-97471	东宝	65574	19996	2	{nz=0}
-97472	去粗取精	65536	91355	3	{i=0}
-97473	保健箱	65536	107570	3	{n=0}
-97474	八宝粥	65536	108689	3	{n=0}
-97475	今晚	65537	20170	2	{t=62}
-97476	变性酒精	65536	102740	3	{l=0}
-97477	名特新优精	65536	93800	3	{j=1, n=0}
-97478	垫脚石	65536	112402	3	{n=0}
-97479	垦区	65536	22438	3	{n=7}
-97480	垭子	76006	22445	1	null
-97481	垭子口	65536	97480	3	{ns=0}
-97482	一塌糊	65536	88140	1	null
-97483	不含糊	65536	104124	3	{a=0}
-97484	博大精	65540	109987	1	null
-97485	东宫	65536	19996	3	{n=0}
-97486	业务精	65536	87039	3	{n=1}
-97487	后半期	65536	131955	3	{t=1}
-97488	乌拉	65556	20044	2	{n=0}
-97489	今晨	65536	20170	3	{t=4}
-97490	含含糊	65545	107781	1	null
-97491	含含糊糊	65536	97490	3	{z=0}
-97492	垮台	65536	22446	3	{v=1}
-97493	云片糕	65536	102150	3	{n=0}
-97494	什锦糖	65536	104351	3	{n=0}
-97495	关东糖	65536	105730	3	{n=0}
-97496	东家	65536	19996	3	{n=0}
-97497	举报箱	65536	92836	3	{n=2}
-97498	仿皮	65536	20223	3	{b=0}
-97499	口香糖	65536	141362	3	{n=0}
-97500	国民军	65536	142320	3	{n=0}
-97501	埂子	65536	22466	3	{n=0}
-97502	印度教	65536	116568	3	{nz=0}
-97503	乌七八糟	65536	86420	3	{i=1}
-97504	一团糟	65536	87778	3	{n=0}
-97505	乱七八糟	65536	86426	3	{i=0}
-97506	乱糟糟	65536	102671	3	{z=0}
-97507	其他	67539	20854	2	{r=380}
-97508	危险期	65536	123841	3	{n=0, t=2}
-97509	即兴曲	65536	105483	3	{n=0}
-97510	反目成	72268	137365	1	null
-97511	后进生	65536	147460	3	{n=2}
-97512	垄坎	65536	22404	3	{n=0}
-97513	低血糖	65536	120360	3	{n=0}
-97514	储备粮	65536	91760	3	{n=0}
-97515	健忘	65536	20581	3	{a=0}
-97516	公用电	65547	125945	1	null
-97517	埃克森	65536	105334	3	{nz=1}
-97518	初生牛	65537	124584	1	null
-97519	埃因霍温	65536	104253	3	{ns=0}
-97520	埃塞俄	69917	107145	1	null
-97521	埃塞俄比	77400	97520	1	null
-97522	埃塞俄比亚	65893	97521	2	{ns=2}
-97523	埃塞俄比亚联邦民	77497	102585	1	null
-97524	埃塞俄比亚联邦民主	76676	97523	1	null
-97525	埃塞俄比亚联邦民主共	75882	97524	1	null
-97526	埃塞俄比亚联邦民主共和	75259	97525	1	null
-97527	图书室	65536	122371	3	{n=7}
-97528	埃塞俄比亚联邦民主共和国	65536	97526	3	{ns=0}
-97529	埃拉特	69244	109812	1	null
-97530	埃拉特湾	65536	97529	3	{ns=0}
-97531	一系	65536	19968	1	null
-97532	三叠系	65536	92673	3	{n=0}
-97533	不无关系	65536	86407	3	{l=3}
-97534	乐手	65536	20048	3	{n=0}
-97535	人际关系	65536	86461	3	{n=8}
-97536	体胀系	65545	117918	1	null
-97537	临桂	65567	20020	1	null
-97538	党群关系	65536	87512	3	{l=1}
-97539	分时系	65613	128322	1	null
-97540	君子	73177	21531	2	{n=5}
-97541	埃斯特	65628	110554	1	null
-97542	埃松省	65536	111017	3	{ns=0}
-97543	埃舍德	65536	117816	3	{ns=0}
-97544	产床	65536	20135	3	{n=0}
-97545	农经系	65536	124055	3	{n=0}
-97546	井然不紊	65536	86134	3	{i=0}
-97547	亚太	66034	20122	2	{j=0}
-97548	供电系	65578	103408	1	null
-97549	发电机	65749	138125	2	{n=5}
-97550	乘积	65536	20056	3	{n=0}
-97551	地层图	65536	139937	3	{n=0}
-97552	圪台	73562	22314	2	{n=0}
-97553	埃菲尔	65536	118301	3	{nz=0}
-97554	优抚	65580	20248	2	{v=2, vn=2}
-97555	埃里温	65536	121847	3	{ns=0}
-97556	埃默鲁市	65536	105607	3	{ns=0}
-97557	三更	65553	19977	1	null
-97558	埋三怨	75325	99230	1	null
-97559	仙界	65536	20185	3	{n=0}
-97560	埋三怨四	65536	97558	3	{l=0}
-97561	埋伏圈	65536	99492	3	{n=0}
-97562	埋头苦干	65536	99062	3	{i=9}
-97563	城下之	67134	122455	1	null
-97564	东寺	65536	19996	3	{ns=0}
-97565	城下之盟	65536	97563	3	{i=0}
-97566	城乡游	65536	122541	3	{n=9}
-97567	城口县	65536	123951	3	{ns=0}
-97568	三替	65536	19977	3	{nz=0}
-97569	内毒素	65536	125040	3	{n=0}
-97570	不假思索	65536	90143	3	{i=0}
-97571	制霉菌素	65536	99278	3	{n=0}
-97572	催产素	65536	95373	3	{n=0}
-97573	化学元素	65536	106375	3	{n=1}
-97574	卡那霉素	65536	104203	3	{n=0}
-97575	冷藏箱	65536	126424	3	{n=1}
-97576	不要紧	65536	117778	3	{l=1}
-97577	三月	65536	19977	3	{t=10}
-97578	冥思苦索	65536	99054	3	{i=0}
-97579	卢克索	65536	92602	3	{ns=1}
-97580	厄瓜	68428	21380	1	null
-97581	参照系	65536	120640	3	{n=1}
-97582	叶红素	65536	119708	3	{n=0}
-97583	公共积累	65536	96820	3	{l=1}
-97584	危若累	69812	118845	1	null
-97585	分类箱	65536	134087	3	{n=0}
-97586	原始积累	65536	101782	3	{l=2}
-97587	叶黄素	65536	127934	3	{n=0}
-97588	合霉素	65536	145438	3	{n=0}
-97589	吐根素	65536	106832	3	{n=0}
-97590	分子病	65536	125596	3	{n=0}
-97591	四环素	65536	139539	3	{n=0}
-97592	丰硕	65536	20016	3	{a=15}
-97593	土霉素	65536	152267	3	{n=0}
-97594	伊宁	65610	20234	2	{ns=0}
-97595	劝慰	65536	21149	3	{v=1, vn=1}
-97596	地霉素	65536	154984	3	{n=0}
-97597	君安	65536	21531	3	{nz=0}
-97598	三朝	65545	19977	1	null
-97599	伸直	65536	20280	3	{v=0}
-97600	三期	65536	19977	3	{b=2, j=0}
-97601	城固县	65536	124742	3	{ns=0}
-97602	体育系	65536	117904	3	{n=0}
-97603	城市化	65536	126542	3	{v=7, vn=0}
-97604	城市贫民	65536	112472	3	{l=0}
-97605	城建局	65536	126790	3	{j=2}
-97606	令人生	65541	86269	1	null
-97607	城西乡	65536	137675	3	{ns=0}
-97608	地貌图	65536	152299	3	{n=0}
-97609	三木	65536	19977	3	{nr=0, nz=0}
-97610	协同	65536	21327	3	{v=10, vd=3, vn=1}
-97611	仿真	65551	20223	2	{v=0, vn=0}
-97612	地球仪	65536	146018	3	{n=0}
-97613	城东乡	65536	122472	3	{ns=0}
-97614	城运会	65536	139292	3	{j=2}
-97615	供应	65728	20379	2	{n=0, v=49, vn=64}
-97616	城近郊区	65536	102605	3	{j=0}
-97617	丑类	65536	19985	3	{n=0}
-97618	城里人	65536	139800	3	{n=6}
-97619	化为灰	65536	108324	1	null
-97620	城门失	68843	140852	1	null
-97621	垃圾场	65536	97441	3	{n=6}
-97622	城门失火	70107	97620	1	null
-97623	城郊乡	65536	139542	3	{ns=0}
-97624	四川籍	65536	133953	3	{n=1}
-97625	下回	65536	19979	3	{t=1}
-97626	出生率	65536	131145	3	{n=4}
-97627	三机	65540	19977	1	null
-97628	分析树	65536	128732	3	{n=0}
-97629	克拉科	65672	108671	1	null
-97630	城门失火殃	76184	97622	1	null
-97631	价码	65536	20215	3	{n=2}
-97632	依恋	65536	20381	3	{v=0, vn=1}
-97633	坠入	65536	22368	3	{v=3}
-97634	城门失火殃及	69891	97630	1	null
-97635	城门失火殃及池	65549	97634	1	null
-97636	城阳区	65536	140927	3	{ns=2}
-97637	久等	65536	20037	3	{v=0}
-97638	其余	65536	20854	3	{r=27}
-97639	喀什	71003	21888	2	{ns=5}
-97640	地质图	65536	152455	3	{n=0}
-97641	城陵矶	65536	140993	3	{ns=0}
-97642	城隍庙	65536	141017	3	{ns=0}
-97643	域名	65536	22495	3	{n=1}
-97644	埠头	65536	22496	3	{n=0}
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-97646	兰因絮	65628	89269	1	null
-97647	似神	65550	20284	1	null
-97648	基亚岛	65536	125463	3	{n=0}
-97649	国家机器	65536	110991	3	{l=2}
-97650	培养基	65536	98906	3	{n=0}
-97651	基准价	65536	126275	3	{n=1}
-97652	丰碑	65536	20016	3	{n=5}
-97653	呆傻	65536	21574	3	{a=0}
-97654	卫士	65536	21355	3	{n=8}
-97655	基希讷乌	65536	101568	3	{ns=1}
-97656	基干民	76808	129519	1	null
-97657	下图	65536	19979	3	{n=0}
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-97661	基干民兵	65536	97656	3	{n=0}
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-97663	基建工	65536	129655	3	{n=1}
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-97666	基本矛盾	65536	108598	3	{l=2}
-97667	两相	65542	20004	1	null
-97668	基本粒子	65536	109805	3	{l=0}
-97669	基本词汇	65536	113704	3	{l=0}
-97670	今朝	65536	20170	3	{t=5}
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-97672	基督教徒	65536	99157	3	{n=0}
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-97677	基里巴	71649	142665	1	null
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-97679	刺激素	65536	115166	3	{n=0}
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-97681	喧嚣	65536	21927	3	{v=2, vn=4}
-97682	堀内	65536	22528	3	{nr=0}
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-97684	地磁力	65536	147232	3	{n=0}
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-97686	堂哥哥	65536	109393	3	{n=0}
-97687	堂堂正	70200	110190	1	null
-97688	周期律	65536	126007	3	{n=0}
-97689	俊秀	65536	20426	3	{a=1}
-97690	基地化	65536	127661	3	{v=1, vn=1}
-97691	堂堂正正	65536	97687	3	{i=3}
-97692	伤湿	65536	20260	1	null
-97693	凌晨	65536	20940	3	{t=18}
-97694	堂堂皇皇	65536	100539	3	{z=0}
-97695	万紫	65557	19975	1	null
-97696	三板	65536	19977	3	{n=0}
-97697	堂姊妹	65536	110646	3	{n=0}
-97698	三极	65537	19977	1	null
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-97701	喧嚷	65536	21927	3	{v=0}
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-97703	堂皇正	74881	118003	1	null
-97704	堂皇正大	65536	97703	3	{i=0}
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-97709	堂而皇	77668	120440	1	null
-97710	切中肯綮	65536	98479	3	{i=0}
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-97713	堆沟港	65536	106536	3	{ns=0}
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-97720	堆龙德	73523	119586	1	null
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-97722	堆龙德庆县	65536	97721	3	{ns=0}
-97723	堑壕	72612	22545	2	{n=0}
-97724	堑壕战	65536	97723	3	{n=0}
-97725	堡垒	65536	22561	3	{n=6}
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-97727	同位素	65536	129604	3	{n=0}
-97728	堕入	65536	22549	3	{v=1}
-97729	堪称一	66281	106425	1	null
-97730	堪培	72437	22570	1	null
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-97736	塑化剂	65536	99988	3	{n=0}
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-97739	塔什干	65536	114798	3	{ns=3}
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-97742	塔克拉	68149	115449	1	null
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-97744	塔克拉玛	73567	97742	1	null
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-97747	塔兰托市	65536	97746	3	{ns=4}
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-97751	卸担	67850	21368	1	null
-97752	塔吉克	71727	116151	2	{nz=0}
-97753	储灰	65554	20648	1	null
-97754	东岸	65536	19996	3	{n=0}
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-97756	下坡	65542	19979	2	{v=0, vn=0}
-97757	劝戒	65536	21149	3	{vn=0}
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-97759	侨界	65536	20392	3	{n=4}
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-97762	塔吉克斯坦共	76119	97761	1	null
-97763	塔吉克斯坦共和	75495	97762	1	null
-97764	塔吉克斯坦共和国	65536	97763	3	{ns=0}
-97765	塔塔尔	71706	117250	1	null
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-97769	塔塔尔族	65536	97765	3	{nz=1}
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-97774	劈刀	65536	21128	3	{n=0}
-97775	基金会	65536	142670	3	{n=67}
-97776	令箭	65536	20196	2	{n=0}
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-97778	塔拉瓦岛	65536	97772	3	{n=0}
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-97781	塔里木	69955	131962	2	{ns=7}
-97782	塔里木河	65536	97781	3	{ns=5}
-97783	凝灰	65569	20957	1	null
-97784	写入	65536	20889	3	{v=1}
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-97788	塔龙佳	65536	135495	3	{ns=0}
-97789	下垂	65536	19979	3	{v=0}
-97790	塔吉克族	65536	97752	3	{nz=1}
-97791	八仙过海各显神	65539	91743	1	null
-97792	兽王	65536	20861	3	{n=0}
-97793	塘沽区	65536	105502	3	{n=1, ns=3}
-97794	坐标系	65536	132400	3	{n=0}
-97795	塘马村	65536	117197	3	{ns=0}
-97796	塞内加	74227	113096	1	null
-97797	上房	65536	19978	3	{n=0}
-97798	代培	65551	20195	2	{v=0}
-97799	塞内加尔	65536	97796	3	{ns=3}
-97800	塞尔维亚	76952	98762	2	{ns=5}
-97801	塞尔维亚共	76158	97800	1	null
-97802	塞尔维亚共和	75535	97801	1	null
-97803	任情	65536	20219	3	{d=0}
-97804	塞尔维亚共和国	65536	97802	3	{ns=0}
-97805	塞弗勒	65536	116570	3	{ns=0}
-97806	塞恩斯	77536	116908	1	null
-97807	塞恩斯伯	65627	97806	1	null
-97808	塞拉利	71696	117516	1	null
-97809	上手	65536	19978	3	{s=0, v=0, vd=0}
-97810	塞拉利昂	65536	97808	3	{ns=0}
-97811	塞族共	76168	118290	1	null
-97812	塞族共和	75545	97811	1	null
-97813	哄劝	65536	21700	3	{v=0}
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-98137	兹罗	65540	20857	1	null
-98138	信赏必罚	65536	90080	3	{i=0}
-98139	光纤网	65536	123171	3	{n=0}
-98140	催奶	66323	20652	2	{v=0}
-98141	冠军级	65536	93232	3	{b=0}
-98142	加泰罗	65756	125551	1	null
-98143	勤学苦练	65536	99055	3	{i=1}
-98144	化学纤维	65536	117992	3	{l=1}
-98145	不知所终	65536	90972	3	{i=0}
-98146	北卡罗	65863	123410	1	null
-98147	北卡罗来纳	66345	92332	2	{ns=0}
-98148	北回归线	65536	90380	3	{l=0, n=0}
-98149	刷白	65536	21047	3	{z=0}
-98150	下士	65536	19979	3	{n=0}
-98151	二中	65598	20108	1	null
-98152	十八罗	65540	114200	1	null
-98153	云山雾罩	65536	104190	3	{l=0}
-98154	伤害罪	65536	92880	3	{n=0}
-98155	兴师问罪	65536	104891	3	{i=0}
-98156	刑事犯罪	65536	94997	3	{l=6}
-98157	依托	65536	20381	3	{n=0, v=32, vn=4}
-98158	一笑置	65551	97041	1	null
-98159	勿庸置	65539	90849	1	null
-98160	十星级	65536	119500	3	{b=3}
-98161	勤奋	65536	21220	3	{a=5, ad=5, an=1}
-98162	专员公署	65536	86410	3	{l=2}
-98163	万绿	65537	19975	1	null
-98164	医卫组	65536	106115	3	{j=0}
-98165	分裂生	65539	137230	1	null
-98166	企管	65536	20225	3	{j=1}
-98167	冒充	65536	20882	3	{v=7}
-98168	千丝万缕	65536	89482	3	{i=2}
-98169	也罢	65536	20063	3	{y=7}
-98170	凤凰竹	65536	91240	3	{n=0}
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-98172	千日红	65536	120591	3	{n=0}
-98173	伏汛	65536	20239	3	{n=0}
-98174	公路网	65536	132288	3	{n=0}
-98175	华章锦绣	65536	103721	3	{i=0}
-98176	加油站	65536	125496	3	{n=14}
-98177	单式编	69567	128023	1	null
-98178	南回归线	65536	90932	3	{n=0}
-98179	二义	65555	20108	1	null
-98180	伪造罪	65536	106288	3	{n=1}
-98181	南昆线	65536	129210	3	{nz=15}
-98182	南通社	65536	139982	3	{j=0}
-98183	博茨瓦纳	70192	95470	2	{ns=2}
-98184	卡加延德奥罗	67009	91074	1	null
-98185	卡塔赫纳	65536	103709	3	{ns=0}
-98186	印相纸	65536	122794	3	{n=0}
-98187	印第安纳	67127	91152	2	{ns=0}
-98188	原稿纸	65536	134098	3	{n=0}
-98189	县团级	65536	112118	3	{b=1}
-98190	两全其美	65536	86411	3	{i=2}
-98191	五讲四美	65536	87787	3	{j=1}
-98192	价廉物美	65536	94833	3	{i=1}
-98193	勋努达美	65536	102342	3	{n=1}
-98194	其内	65536	20854	3	{r=0}
-98195	二乙	65536	20108	1	null
-98196	十全十美	65536	89446	3	{i=0}
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-98198	伊川	65758	20234	2	{ns=0}
-98199	县处级	65536	112664	3	{b=0, j=2}
-98200	双绞线	65536	136246	3	{n=0}
-98201	发电机组	65536	97549	3	{n=4}
-98202	传输网	65536	121181	3	{n=0}
-98203	发神经	65536	139190	3	{l=0}
-98204	双曲线	65536	130122	3	{n=0}
-98205	受用终	65548	130790	1	null
-98206	不知人间有羞	65536	91916	1	null
-98207	变法维	66575	128736	1	null
-98208	叛国罪	65536	97158	3	{n=0}
-98209	临渊羡	65536	99017	1	null
-98210	下大	65547	19979	1	null
-98211	南极洲	65536	129589	3	{ns=0}
-98212	三五成群	65536	90646	3	{l=2}
-98213	作家群	65536	111387	3	{n=0}
-98214	信报箱群	65536	97202	3	{n=12}
-98215	亡羊	65538	20129	1	null
-98216	党群干群	65536	90839	3	{j=0}
-98217	力克群	65542	105923	1	null
-98218	化石群	65536	119005	3	{n=2}
-98219	卓尔不群	65536	90603	3	{i=0}
-98220	古兰经	65536	126860	3	{n=0, nz=0}
-98221	可兰经	65536	127277	3	{n=0}
-98222	可持续	68215	131774	1	null
-98223	下头	65536	19979	3	{f=0}
-98224	削球	65635	21066	2	{v=0}
-98225	卡片纸	65536	120671	3	{n=0}
-98226	司局级	65536	109088	3	{b=0, j=1}
-98227	可变电	69330	127893	1	null
-98228	司长级	65536	123743	3	{b=0}
-98229	合成纤维	65536	105040	3	{l=1}
-98230	乌斯	65538	20044	1	null
-98231	劈叉	65536	21128	3	{v=0}
-98232	可可粉	65536	127916	3	{n=0}
-98233	吃闭门羹	65536	104100	3	{i=1}
-98234	吊民伐罪	65536	93304	3	{i=0}
-98235	同盟条约	65536	99945	3	{n=0}
-98236	同轴电缆	65536	95651	3	{l=0}
-98237	反面教	65999	145673	1	null
-98238	出气筒	65536	128830	3	{n=0}
-98239	厅局级	65536	93912	3	{b=2, j=0}
-98240	侦缉	65536	20390	3	{v=0, vn=1}
-98241	不倒翁	65536	103075	3	{n=0}
-98242	名不见经	73408	107893	1	null
-98243	冤沉	65548	20900	1	null
-98244	后防线	65536	149083	3	{n=0}
-98245	吐故纳	67952	106076	1	null
-98246	吞噬细	65616	101213	1	null
-98247	听神经	65536	124557	3	{n=1}
-98248	吸墨纸	65536	107337	3	{n=0}
-98249	信天翁	65536	109727	3	{n=0}
-98250	侨眷	65536	20392	3	{n=9}
-98251	中国红	65579	107473	1	null
-98252	不可终	65549	104064	1	null
-98253	周围神经	65536	96624	3	{l=0}
-98254	专业组	65536	89236	3	{n=1}
-98255	勇冠	68846	21191	1	null
-98256	令人瞩	65544	86269	1	null
-98257	呼吸系统	65536	106303	3	{l=0}
-98258	取暖油	65536	119963	3	{n=0}
-98259	和风细	65556	135310	1	null
-98260	咕哩美	65536	94616	3	{nz=0}
-98261	哈博罗	73750	114413	1	null
-98262	善始善终	65536	95087	3	{i=0}
-98263	哥伦比	74572	101637	1	null
-98264	响器	65536	21709	3	{n=0}
-98265	哭天抹	66850	100633	1	null
-98266	喜结良缘	65536	98973	3	{l=2}
-98267	喷锚网	65536	134334	3	{j=2}
-98268	喽罗	65536	21949	3	{n=0}
-98269	嗅神经	65536	105357	3	{n=0}
-98270	喧声	73062	21927	1	null
-98271	嘉手纳	65536	111951	3	{nz=0}
-98272	四书五经	65536	95769	3	{n=0}
-98273	二产	65536	20108	3	{j=2}
-98274	四星级	65536	136067	3	{b=1}
-98275	因特网	73851	119508	2	{n=49}
-98276	团小组	65536	126597	3	{n=3}
-98277	团组织	65536	135482	3	{n=10}
-98278	围三缺	76330	121770	1	null
-98279	国境线	65536	137314	3	{n=0}
-98280	主人翁	65536	104013	3	{n=8}
-98281	国宝级	65536	138108	3	{b=0}
-98282	井盐	65536	20117	3	{n=0}
-98283	国界线	65536	144683	3	{n=0}
-98284	嘴太	65541	22068	1	null
-98285	国际货币基金组	65831	102949	1	null
-98286	国际货币基金组织	65536	98285	3	{n=0}
-98287	国务委	74744	135808	1	null
-98288	伯明翰	65536	93556	3	{ns=0}
-98289	圆锥曲线	65536	102598	3	{n=0}
-98290	土豪劣绅	65536	96680	3	{l=1}
-98291	圣保罗	72745	129415	2	{ns=1}
-98292	二人	65610	20108	1	null
-98293	亚尔	66072	20122	1	null
-98294	咽头	65536	21693	3	{n=0}
-98295	伏法	65536	20239	3	{v=1}
-98296	伞罩	65536	20254	3	{n=1}
-98297	圣多美	75122	131780	1	null
-98298	圣约翰	65536	141392	3	{nr=1, nz=0}
-98299	人仰马翻	65536	105073	3	{i=0}
-98300	为虎傅翼	65536	86264	3	{l=0}
-98301	以旧翻	65539	109220	1	null
-98302	倒海翻	65536	112972	1	null
-98303	后空翻	65536	141987	3	{v=1, vn=0}
-98304	光宗耀	65537	114198	1	null
-98305	三朝元老	65536	86348	3	{n=0}
-98306	以及人之老	65536	86256	3	{l=1, n=0}
-98307	三评一考	65536	85664	3	{j=0}
-98308	久经考	65536	98539	1	null
-98309	不合格者	65536	92222	3	{n=1}
-98310	不符合条件者	65536	85809	3	{n=1}
-98311	与会者	65536	86118	3	{n=31}
-98312	上访者	65536	108421	3	{n=2}
-98313	丧生者	65536	95926	3	{n=1}
-98314	中低收入者	65536	86373	3	{n=1}
-98315	中国消费者	65563	101691	1	null
-98316	一而	65537	19968	1	null
-98317	一哄而	65538	87236	1	null
-98318	一扫而	65537	90731	1	null
-98319	一抢而	65538	90786	1	null
-98320	一拥而	65556	90853	1	null
-98321	一挥而	65536	90917	1	null
-98322	一概而	65536	92546	1	null
-98323	一跃而	65539	101827	1	null
-98324	一般而	65537	98860	1	null
-98325	一怒而	65537	90130	1	null
-98326	一蹴而	65537	102004	1	null
-98327	三思而	65541	95806	1	null
-98328	不一而	65539	102545	1	null
-98329	不劳而	65536	103748	1	null
-98330	不可同日而	65541	91633	1	null
-98331	不宣而	65536	106036	1	null
-98332	不寒而	65536	106083	1	null
-98333	不得已而	65728	89831	1	null
-98334	不容置	65536	106058	1	null
-98335	不教而	65536	108522	1	null
-98336	不期而	65536	108976	1	null
-98337	不欢而	65539	110003	1	null
-98338	不约而	65547	114999	1	null
-98339	不翼而	65537	115341	1	null
-98340	不胫而	65536	115580	1	null
-98341	不谋而	65553	118428	1	null
-98342	不辞而	65537	119343	1	null
-98343	主创者	65536	104878	3	{n=2}
-98344	东方红	65905	100059	2	{nz=2}
-98345	之乎者	65946	86098	1	null
-98346	严紧	65536	20005	3	{a=0}
-98347	世界级	65536	97124	3	{b=7}
-98348	丙纶	65536	19993	3	{n=0}
-98349	业经	65536	19994	3	{d=0}
-98350	中继者	65536	117691	3	{n=0}
-98351	乘兴而	65555	87187	1	null
-98352	乘虚而	65537	100729	1	null
-98353	乘隙而	65587	104888	1	null
-98354	互助组	65536	89437	3	{n=1}
-98355	不绝于耳	65536	85816	3	{l=4}
-98356	交头接耳	65536	91046	3	{i=1}
-98357	不堪入耳	65536	86601	3	{i=0}
-98358	仅供参考	65536	87141	3	{l=0}
-98359	从一而	65584	102091	1	null
-98360	从天而	65537	104948	1	null
-98361	以上者	65536	103111	3	{n=3}
-98362	临死	65536	20020	3	{v=0}
-98363	不知人间有羞耻	65693	98206	1	null
-98364	任重而	65555	110355	1	null
-98365	企业管理者	65536	95241	3	{n=6}
-98366	仿制者	65536	88162	3	{n=1}
-98367	企业经营者	65536	99367	3	{n=12}
-98368	企足而	65573	102792	1	null
-98369	优胜者	65591	105300	2	{n=0}
-98370	东张	65540	19996	1	null
-98371	伤亡者	65536	89534	3	{n=1}
-98372	似是而	65539	92736	1	null
-98373	丝线	65536	19997	3	{n=0}
-98374	从业者	65536	102117	3	{n=2}
-98375	业绩	65536	19994	3	{n=53}
-98376	低收入者	65536	86515	3	{n=3}
-98377	二伏	65536	20108	3	{t=0}
-98378	体现者	65536	114574	3	{n=1}
-98379	作伪者	65536	108175	3	{n=2}
-98380	以身殉职	65536	93492	3	{i=1}
-98381	丝织	65541	19997	2	{b=2}
-98382	佼佼者	65536	86641	3	{n=3}
-98383	何干	65536	20309	3	{v=0}
-98384	侃侃而	65548	86653	1	null
-98385	侧目而	65560	103472	1	null
-98386	保护主义者	65536	86773	3	{n=1}
-98387	保护消费者	65618	101698	1	null
-98388	万国邮联	65536	102574	3	{j=0}
-98389	中国文联	65536	91824	3	{n=0}
-98390	串并联	65536	90001	3	{n=0}
-98391	亚排联	65536	100211	3	{j=0}
-98392	丝绒	65536	19997	3	{n=0}
-98393	亚记联	65536	110481	3	{j=0}
-98394	二传	65551	20108	2	{n=0}
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-98396	付汇联	65536	95204	3	{n=1}
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-98398	亲如	66314	20146	1	null
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-98401	保健网	65536	107570	3	{n=0}
-98402	俯首帖耳	65536	89817	3	{i=0}
-98403	伏流	65536	20239	3	{n=0}
-98404	倒打一耙	65536	86802	3	{i=0}
-98405	七老	65549	19971	1	null
-98406	倚老卖老	65536	86961	3	{i=0}
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-98408	停薪留职	65536	95578	3	{l=0}
-98409	健在者	65536	95291	3	{n=1}
-98410	偷渡者	65536	110123	3	{n=5}
-98411	偷猎者	65536	111384	3	{n=1}
-98412	偷香盗玉者	65536	95123	3	{n=1}
-98413	傅粉	65536	20613	3	{v=0}
-98414	先天下之忧而	65549	90098	1	null
-98415	克尽职	65711	106995	1	null
-98416	全国妇联	65536	90475	3	{n=0}
-98417	全国工商联	65536	87539	3	{n=0}
-98418	八国联	66687	107505	1	null
-98419	光彩耀	65581	115176	1	null
-98420	共产主义者	65536	87643	3	{n=2}
-98421	入境者	65536	113314	3	{n=2}
-98422	内引外联	65536	88521	3	{l=1}
-98423	军师职	65536	121956	3	{j=0}
-98424	京棉	65536	20140	3	{j=0}
-98425	先行者	65536	121632	3	{n=3}
-98426	冠名者	65536	93858	3	{n=1}
-98427	丝绵	65536	19997	2	{n=0}
-98428	几分耕耘	65536	98434	3	{i=0}
-98429	出污泥而	68166	93423	1	null
-98430	丝绸	65837	19997	2	{n=6}
-98431	创立者	65536	117023	3	{n=1}
-98432	初学者	65536	117999	3	{n=0}
-98433	到会者	65536	101987	3	{n=0}
-98434	几分耕	65636	93961	1	null
-98435	依据	65536	20381	3	{n=31, p=10, v=8, vn=0}
-98436	刻苦耐	67456	113163	1	null
-98437	剥削者	65536	89358	3	{n=1}
-98438	功力者	65536	107491	3	{n=1}
-98439	功成名就者	65536	89366	3	{n=1}
-98440	倾盆而	65539	101704	1	null
-98441	东坡肉	65536	96387	3	{n=0}
-98442	亲骨肉	65536	115076	3	{n=0}
-98443	使用者	65536	102698	3	{n=10}
-98444	不随意肌	65536	90394	3	{l=0}
-98445	冻猪肉	65536	99837	3	{n=2}
-98446	分割肉	65536	123326	3	{n=1}
-98447	勘察者	65536	90512	3	{n=1}
-98448	勿因善小而	68857	89391	1	null
-98449	半途而	66335	137514	1	null
-98450	卑鄙无耻	65536	91821	3	{l=0}
-98451	上操	65536	19978	3	{v=0}
-98452	单行线	65536	138580	3	{n=2}
-98453	协作组	65536	96410	3	{n=2}
-98454	十二生肖	65536	99535	3	{l=6}
-98455	卖弄聪	65697	113853	1	null
-98456	勘探者	65536	92499	3	{n=13}
-98457	两税	65536	20004	3	{j=0}
-98458	南斯拉夫联	65542	90955	1	null
-98459	乳母	65536	20083	3	{n=0}
-98460	卫生工作者	65536	91122	3	{n=2}
-98461	危言耸	69632	120664	1	null
-98462	危辞耸	69638	122102	1	null
-98463	厚颜无耻	65536	91845	3	{i=0}
-98464	乙状结肠	65536	98020	3	{l=0}
-98465	一股	65539	19968	1	null
-98466	下跌股	65536	111687	3	{n=0}
-98467	上证股	65536	108423	3	{j=0}
-98468	上升股	65536	93965	3	{n=0}
-98469	九曲回肠	65536	87777	3	{l=0}
-98470	体无完肤	65536	89039	3	{i=0}
-98471	党八股	65536	106376	3	{n=0}
-98472	十二指肠	65536	94903	3	{n=0}
-98473	升结肠	65536	120509	3	{n=0}
-98474	卷烟纸	65536	117330	3	{n=0}
-98475	先驱者	65536	126277	3	{n=0}
-98476	亲姐	65536	20146	1	null
-98477	印花税	65536	125795	3	{n=2}
-98478	厩肥	65536	21417	3	{n=0}
-98479	切中肯	65536	105794	1	null
-98480	参会者	65536	111859	3	{n=1}
-98481	及锋而	65691	108738	1	null
-98482	业余教育	65536	91501	3	{l=0}
-98483	中等教育	65536	91483	3	{l=0}
-98484	义务教育	65536	91591	3	{l=11}
-98485	优生优育	65536	86303	3	{l=1}
-98486	军事体育	65536	90265	3	{l=0}
-98487	初等教育	65536	91777	3	{l=0}
-98488	反其道而	65604	102510	1	null
-98489	发聋振聩	65536	92510	3	{i=0}
-98490	受伤者	65536	121058	3	{n=1}
-98491	发人深省	65536	93686	3	{i=2}
-98492	伯祖	65538	20271	2	{n=0}
-98493	产房	65536	20135	3	{n=0}
-98494	侏罗	66661	20367	1	null
-98495	凄楚	65536	20932	3	{a=0}
-98496	体膨胀	65536	118150	3	{n=0}
-98497	亚太经	65542	97547	1	null
-98498	专版	65536	19987	3	{n=15}
-98499	卡巴胂	65536	115468	3	{n=0}
-98500	参赛者	65536	127796	3	{n=1}
-98501	受礼者	65536	131834	3	{n=1}
-98502	一身是胆	65536	91698	3	{i=0}
-98503	乙酰胆	65537	104596	1	null
-98504	亡魂丧胆	65536	86145	3	{i=0}
-98505	倾心吐胆	65536	87321	3	{i=0}
-98506	五花肉	65536	117861	3	{n=0}
-98507	刘海	65536	21016	3	{nr=0}
-98508	人心向背	65536	87723	3	{i=0}
-98509	力透纸背	65536	98118	3	{i=0}
-98510	勾肩搭背	65536	91184	3	{i=0}
-98511	全家福	65536	115560	3	{n=2}
-98512	卧薪尝胆	65536	91117	3	{i=2}
-98513	双胞胎	65536	136758	3	{n=0}
-98514	丹绒	65976	20025	1	null
-98515	受访者	65536	136573	3	{n=1}
-98516	受试者	65536	136595	3	{n=0}
-98517	受难者	65536	139388	3	{n=0}
-98518	单晶河	70557	129918	1	null
-98519	丝网	65536	19997	3	{n=0}
-98520	受贿罪	65536	136957	3	{n=1}
-98521	六安	65536	20845	3	{ns=0}
-98522	叛乱者	65536	94970	3	{n=3}
-98523	仔细	65536	20180	3	{a=6, ad=23, d=0}
-98524	举不胜	65952	87564	1	null
-98525	人定胜	65601	112545	1	null
-98526	以弱胜	65537	107502	1	null
-98527	体细胞	65536	117412	3	{n=1}
-98528	克敌制胜	65536	87481	3	{i=0}
-98529	交换网	65536	108620	3	{n=0}
-98530	京二胡	65536	91707	3	{n=0}
-98531	产业群	65851	93336	2	{n=2}
-98532	内塔尼亚胡	65536	87729	3	{nr=71, ns=22}
-98533	出奇制胜	65536	88135	3	{i=2}
-98534	刺细胞	65536	119012	3	{n=0}
-98535	单细胞	65536	136142	3	{b=0}
-98536	决一胜	65537	99631	1	null
-98537	卵细胞	65536	108940	3	{n=7}
-98538	反败为胜	65536	92440	3	{i=2}
-98539	久经	65537	20037	1	null
-98540	口惠而	69197	126841	1	null
-98541	儿科	65536	20799	3	{n=5}
-98542	口陈肝	65577	140513	1	null
-98543	口陈肝胆	65536	98542	3	{l=0}
-98544	古道热肠	65536	94456	3	{i=1}
-98545	乙种	65537	20057	1	null
-98546	可想而	65559	131248	1	null
-98547	可望而	72861	132824	1	null
-98548	亲娘	65536	20146	3	{n=0}
-98549	叶面施肥	65536	92913	3	{l=0}
-98550	丁腈橡胶	65536	92769	3	{n=0}
-98551	丁苯橡胶	65536	92770	3	{l=0, n=0}
-98552	万能胶	65536	98673	3	{n=0}
-98553	各司其职	65536	93000	3	{i=2}
-98554	二乙胺	65536	98195	1	null
-98555	人工气胸	65536	93332	3	{l=0}
-98556	侵略者	65536	96663	3	{n=5}
-98557	一专多能	65536	88347	3	{i=3}
-98558	人工智能	65536	91898	3	{n=0}
-98559	全知全能	65536	87560	3	{i=0}
-98560	中央级	65536	108034	3	{b=2}
-98561	不得而	65539	107048	1	null
-98562	八仙过海各显其能	65536	87575	3	{l=1, n=0}
-98563	中央纪	65538	108034	1	null
-98564	卵磷脂	65536	107453	3	{n=0}
-98565	各尽所能	65536	93020	3	{i=1}
-98566	博大胸	66438	109987	1	null
-98567	匆猝	65536	21254	3	{a=0}
-98568	各显其能	65536	93089	3	{l=1}
-98569	一脉	65537	19968	1	null
-98570	世界屋脊	65536	89551	3	{n=1}
-98571	亚硝胺	65536	105534	3	{n=0}
-98572	仿章	65536	20223	3	{n=1}
-98573	冠状动脉	65536	87982	3	{l=0}
-98574	合二而	73149	126881	1	null
-98575	乳汁	65536	20083	3	{n=5}
-98576	函电	65536	20989	3	{n=0}
-98577	一古脑	65538	87012	1	null
-98578	下丘脑	65536	95379	3	{n=0}
-98579	倔头倔脑	65536	86804	3	{l=0}
-98580	一股脑	65545	98465	1	null
-98581	傻头傻脑	65536	87386	3	{i=0}
-98582	冲昏头脑	65536	88562	3	{l=0}
-98583	仓管	65538	20179	1	null
-98584	合成树脂	65536	99261	3	{l=0}
-98585	合成橡胶	65536	99853	3	{l=0, n=0}
-98586	一步一个脚	65536	85550	1	null
-98587	七手八脚	65536	86388	3	{i=0}
-98588	二踢脚	65536	114524	3	{n=0}
-98589	主办者	65536	105009	3	{n=6}
-98590	临江	65697	20020	2	{ns=1}
-98591	做手脚	65536	104970	3	{v=0}
-98592	动手动脚	65536	88773	3	{i=1, l=0}
-98593	决胜盘	65536	112651	3	{n=1}
-98594	协作网	65536	96410	3	{n=0}
-98595	兽皮	65536	20861	3	{n=0}
-98596	同日而	65699	135388	1	null
-98597	名列前茅者	65536	99080	3	{n=1}
-98598	了结	65536	20102	3	{v=2}
-98599	名记者	65536	147993	3	{n=2}
-98600	二修	65543	20108	1	null
-98601	后台老	67396	132121	1	null
-98602	后天下之乐而	73861	93908	1	null
-98603	势不	68845	21183	1	null
-98604	向隅而	66118	123549	1	null
-98605	举报者	65536	92836	3	{n=3}
-98606	吞噬细胞	65536	98246	3	{l=0}
-98607	乌木	65536	20044	3	{n=0}
-98608	含情脉	65580	111007	1	null
-98609	举止洒脱	65536	93497	3	{l=0}
-98610	出尘脱	67698	124738	1	null
-98611	临阵脱	65536	109300	1	null
-98612	厥脱	65536	21413	3	{vn=1}
-98613	含情脉脉	65536	98608	3	{i=0}
-98614	吸毒者	65536	112243	3	{n=3}
-98615	压缩空	65563	124648	1	null
-98616	三花脸	65536	104658	3	{n=0}
-98617	不要脸	65536	117778	3	{a=0}
-98618	主动脉	65537	105019	2	{n=0}
-98619	二花脸	65536	111595	3	{n=0}
-98620	劈头盖脸	65536	95972	3	{i=0}
-98621	临汾	65553	20020	2	{ns=3}
-98622	呆头呆脑	65536	94180	3	{i=0}
-98623	告密者	65536	116028	3	{n=0}
-98624	不言而	65537	117905	1	null
-98625	临沂	65554	20020	2	{ns=8}
-98626	传为美	65546	104452	1	null
-98627	和事老	65536	116299	3	{n=0}
-98628	合同期	65536	128289	3	{n=2}
-98629	哀兵必胜	65536	94592	3	{i=0}
-98630	哭丧着脸	65536	98639	3	{l=1}
-98631	唯心主义者	65536	94992	3	{n=1}
-98632	唯物主义者	65536	94998	3	{n=2}
-98633	吵架	65536	21557	3	{v=1}
-98634	勐腊	67389	21200	1	null
-98635	十冬腊	65964	114265	1	null
-98636	唱白脸	65536	116966	3	{l=0}
-98637	上文	65536	19978	3	{n=1}
-98638	卡通画	65536	128306	3	{n=0}
-98639	哭丧着	65550	97815	1	null
-98640	冻豆腐	65536	106265	3	{n=0}
-98641	五脏六腑	65536	86443	3	{i=0}
-98642	吃豆腐	65536	136637	3	{l=0}
-98643	勃然	65999	21187	1	null
-98644	唱红脸	65536	119051	3	{l=0}
-98645	喀喇沁左翼	65536	95071	3	{ns=1}
-98646	司法权	65536	113333	3	{n=0}
-98647	喜不自胜	65536	98826	3	{i=0}
-98648	劈啪	65536	21128	3	{o=0}
-98649	喜马拉雅山脉	65536	95279	3	{ns=1}
-98650	却步	65536	21364	3	{v=0}
-98651	剧作者	65536	101274	3	{n=0}
-98652	哲学	73298	21746	2	{n=69}
-98653	卢森	68547	21346	1	null
-98654	嘻皮笑脸	65536	97076	3	{i=0}
-98655	人造纤	65539	125991	1	null
-98656	侏罗系	65536	98494	3	{n=1, nz=0, t=0}
-98657	回锅肉	65536	148741	3	{n=0}
-98658	吉尔吉斯斯	70895	93191	1	null
-98659	伊循	65536	20234	3	{ns=0}
-98660	勋爵	65536	21195	3	{n=0}
-98661	后半段	65536	131955	3	{n=0}
-98662	储油罐	65536	96802	3	{n=0}
-98663	噬脐	65538	22124	1	null
-98664	围观者	65536	137059	3	{n=2}
-98665	国际主义者	65536	96459	3	{n=1}
-98666	圆盘耙	65536	132285	3	{n=0}
-98667	土豆片	65536	149512	3	{n=0}
-98668	圣雪绒	65536	147604	3	{nz=2}
-98669	地主阶级	65536	104231	3	{n=2}
-98670	地厅级	65536	137700	3	{b=1, j=0}
-98671	串联	65536	20018	3	{v=4, vn=0}
-98672	伸懒腰	65536	92189	3	{v=0}
-98673	万能	65538	19975	2	{b=0}
-98674	临河	65536	20020	3	{n=0}
-98675	半山腰	65536	124295	3	{n=1}
-98676	圪塔	65536	22314	3	{ns=2}
-98677	地市级	65536	140385	3	{b=0, j=0}
-98678	地平线	65536	140498	3	{n=2}
-98679	地层学	65536	139937	3	{n=0}
-98680	地球化	73684	146018	1	null
-98681	令人捧腹	65536	93070	3	{i=0}
-98682	两端	65536	20004	3	{f=1, n=1}
-98683	偷奸耍	65536	104834	1	null
-98684	人工气腹	65536	93332	3	{l=0}
-98685	内分泌腺	65536	93388	3	{n=0}
-98686	万马奔腾	65536	88405	3	{i=0}
-98687	上方	65544	19978	2	{b=0, f=3, s=0}
-98688	义演	65536	20041	3	{v=4, vn=1}
-98689	乱乱腾腾	65536	98739	3	{z=0}
-98690	乱腾腾	65536	103854	3	{z=0}
-98691	冷冻箱	65536	113092	3	{n=0}
-98692	出水才看两腿	65545	88146	1	null
-98693	令人神	65573	86269	1	null
-98694	三步	65540	19977	1	null
-98695	公平秤	65536	120132	3	{n=0}
-98696	事务署	65536	95407	3	{n=0}
-98697	前列腺	65536	120964	3	{n=0}
-98698	博斯腾	65546	113195	1	null
-98699	剖白	65536	21078	3	{v=0}
-98700	勤学	65545	21220	1	null
-98701	口蜜腹	71594	136629	1	null
-98702	唾液腺	65536	99121	3	{n=0}
-98703	伤湿膏	65536	97692	3	{n=0}
-98704	地形图	65536	140737	3	{n=0}
-98705	举鼎绝膑	65536	98019	3	{i=0}
-98706	二郎腿	65536	115208	3	{n=0}
-98707	嗷嗷待	73631	95383	1	null
-98708	地覆天翻	65536	97171	3	{i=0}
-98709	地震震级	65536	116296	3	{l=0}
-98710	哑巴	74595	21713	2	{n=3}
-98711	丁腈	65536	19969	1	null
-98712	右侧	65536	21491	3	{f=6}
-98713	包装物	65536	127874	3	{n=0}
-98714	古典文	69285	126868	1	null
-98715	坐骨神经	65536	97288	3	{l=0}
-98716	与世隔膜	65536	104111	3	{i=1}
-98717	地税所	65536	147565	3	{j=0}
-98718	坚苦卓绝	65536	97331	3	{i=0}
-98719	坂口	65536	22338	3	{nr=0}
-98720	坛坛罐	66129	97714	1	null
-98721	坛坛罐罐	65536	98720	3	{l=0}
-98722	何必	65536	20309	3	{d=2, r=0}
-98723	估算	65536	20272	3	{v=4, vn=2}
-98724	呵护	65536	21621	3	{v=0, vn=3}
-98725	乐曲	65538	20048	2	{n=8}
-98726	上无	65538	19978	1	null
-98727	坛子	73610	22363	2	{n=0}
-98728	坦桑尼亚联	75849	97360	1	null
-98729	卑躬屈膝	65536	90597	3	{i=0}
-98730	乌枣	65536	20044	3	{n=0}
-98731	企业经	65538	86511	1	null
-98732	互相	65536	20114	3	{b=0, d=66}
-98733	国防大	73053	153105	1	null
-98734	凿空	65536	20991	3	{v=0}
-98735	圈圈	65536	22280	3	{n=0}
-98736	地貌学	65536	152299	3	{n=0}
-98737	垂垂老	66691	110293	1	null
-98738	上旬	65536	19978	3	{t=9}
-98739	乱乱腾	65539	90785	1	null
-98740	卓然	65536	21331	3	{z=0}
-98741	垂直线	65536	118343	3	{n=0}
-98742	垂首帖耳	65536	97439	3	{i=0}
-98743	垃圾猪肉	65536	104773	3	{n=2}
-98744	合作方	65536	127089	3	{n=1}
-98745	埃塞俄比亚联	65555	97522	1	null
-98746	义愤填膺	65536	88171	3	{i=0}
-98747	埃特纳	65536	113828	3	{ns=3}
-98748	临泽	65536	20020	3	{ns=1}
-98749	关系网	65536	117729	3	{n=0}
-98750	基因组	65536	127581	3	{n=4}
-98751	农家肥	65536	115070	3	{n=4}
-98752	咸丰	65536	21688	3	{ns=1}
-98753	垄断者	65536	101191	3	{n=1}
-98754	一臂	65552	19968	1	null
-98755	三头六臂	65536	86398	3	{i=0}
-98756	为政者	65536	92436	3	{n=1}
-98757	基础教育	65536	103450	3	{l=4}
-98758	堪称一绝	65536	97729	3	{l=2}
-98759	塔夫绸	65536	117465	3	{n=0}
-98760	优材	65571	20248	1	null
-98761	严细	65536	20005	3	{a=0}
-98762	塞尔维	77678	115799	1	null
-98763	声色俱厉	65536	97953	3	{i=0}
-98764	上昆	65536	19978	3	{j=3}
-98765	声谱仪	65536	144819	3	{n=0}
-98766	声震中外	65536	99025	3	{l=1}
-98767	声震寰宇	65536	102548	3	{l=0}
-98768	地质学	73704	152455	2	{n=1}
-98769	侨社	65536	20392	3	{n=1}
-98770	墩墩	74448	22697	1	null
-98771	事必	65540	20107	1	null
-98772	买空	65572	20080	1	null
-98773	哈拉弋	69347	118364	1	null
-98774	三段	65539	19977	1	null
-98775	交通线	65536	120068	3	{n=1}
-98776	发明权	65536	134246	3	{n=0}
-98777	刑律	65536	21009	3	{n=2}
-98778	声霸卡	65536	147642	3	{n=0}
-98779	土地局	65536	135922	3	{n=3}
-98780	声韵学	65536	147831	3	{n=0}
-98781	壶关县	65536	98853	3	{ns=1}
-98782	咸乎	74514	21688	1	null
-98783	不干胶	65536	106755	3	{n=0}
-98784	不可胜	65539	104064	1	null
-98785	下学	65536	19979	3	{v=1}
-98786	处之泰	69877	119283	1	null
-98787	伪证罪	65536	105169	3	{n=1}
-98788	亚布	65584	20122	1	null
-98789	上星	65540	19978	1	null
-98790	上映	65536	19978	3	{v=2, vn=0}
-98791	俯首称臣	65536	96947	3	{i=0, l=1}
-98792	内阁大臣	65536	89521	3	{n=0}
-98793	坡岸	65536	22369	3	{n=0}
-98794	不战自	65539	107689	1	null
-98795	不打自	65538	107748	1	null
-98796	不攻自	65537	108492	1	null
-98797	临洮	65568	20020	1	null
-98798	严以自	65541	86504	1	null
-98799	不由自	65758	112578	1	null
-98800	任其自	65560	93884	1	null
-98801	人人自	65564	109249	1	null
-98802	作茧自	65538	121484	1	null
-98803	不期而至	65536	98336	3	{i=0}
-98804	一致	65536	19968	2	{a=92, ad=39, an=11, nz=0}
-98805	亏耗	65536	20111	3	{v=0}
-98806	交叉有致	65536	92051	3	{l=1}
-98807	人迹罕至	65536	98133	3	{i=1}
-98808	从古至	66051	103599	1	null
-98809	从始至	65585	105110	1	null
-98810	关怀备至	65536	88513	3	{l=2}
-98811	冷暖自	65548	118431	1	null
-98812	三毛	65536	19977	3	{nr=6, nz=5}
-98813	不落窠臼	65536	96928	3	{i=1}
-98814	刚愎自	65616	105814	1	null
-98815	信用联	65544	116894	1	null
-98816	兀自	65536	20800	3	{d=0}
-98817	儿童	66340	20799	2	{n=107}
-98818	别无二致	65536	88586	3	{l=0}
-98819	偶氮	65537	20598	1	null
-98820	加利福	65755	118696	1	null
-98821	反躬自	65717	143443	1	null
-98822	口惠而实不至	65536	92653	3	{i=0}
-98823	听其自	65544	114341	1	null
-98824	咎由自	73036	95681	1	null
-98825	上晃	65536	19978	3	{a=13, v=2}
-98826	喜不自	65659	124609	1	null
-98827	回头是	72386	133428	1	null
-98828	七嘴八舌	65536	86383	3	{i=2}
-98829	东邻西舍	65536	100747	3	{l=0}
-98830	依依不舍	65536	86664	3	{i=4}
-98831	事态	65536	20107	3	{n=15}
-98832	唇枪舌	73681	101572	1	null
-98833	修业	65536	20462	3	{v=0}
-98834	丙璜舒	65536	95762	3	{n=0}
-98835	下官	65536	19979	3	{n=0}
-98836	嚼舌	65536	22204	3	{v=0}
-98837	下定	65537	19979	1	null
-98838	从头至	65552	104959	1	null
-98839	四人帮	65536	130078	3	{j=4}
-98840	乳浊	65536	20083	1	null
-98841	公文纸	65536	121944	3	{n=1}
-98842	反射炉	65536	130475	3	{n=0}
-98843	其后	65536	20854	3	{f=0, s=0, t=3}
-98844	固步自	72766	113258	1	null
-98845	卵块	65536	21365	3	{n=0}
-98846	交谊舞	65536	119028	3	{n=0}
-98847	乒联	65536	20050	3	{j=0}
-98848	令人鼓舞	65536	108346	3	{l=9}
-98849	借水行舟	65536	100448	3	{i=0}
-98850	国标舞	65536	141286	3	{n=2}
-98851	土风舞	65536	152720	3	{n=0}
-98852	交际舞	65536	121647	3	{n=0}
-98853	壶关	77342	22774	1	null
-98854	城东区	65536	122472	3	{ns=0}
-98855	出版界	65536	130418	3	{n=6}
-98856	久而	65958	20037	1	null
-98857	冒号	65536	20882	3	{n=0}
-98858	唾沫	65536	21822	3	{n=1}
-98859	处之泰然	65536	98786	3	{i=0}
-98860	一般	65544	19968	2	{a=75, ad=58, an=1, u=9}
-98861	壳子	65536	22771	3	{n=0}
-98862	处变不	74086	120704	1	null
-98863	右倾	65536	21491	3	{b=1}
-98864	处变不惊	65536	98862	3	{l=2}
-98865	下家	65536	19979	3	{n=0}
-98866	三民	65604	19977	1	null
-98867	地磁场	65536	147232	3	{n=0}
-98868	乐极	65545	20048	1	null
-98869	唐家庄	65536	106552	3	{ns=1}
-98870	临海	65536	20020	3	{ns=2, s=0, vn=0}
-98871	主力舰	65536	105006	3	{n=0}
-98872	处心积	65551	123755	1	null
-98873	上贼船	65536	108802	3	{l=0}
-98874	乌篷船	65536	103934	3	{n=0}
-98875	借风使船	65536	86839	3	{i=0}
-98876	处置权	65536	131862	3	{n=1}
-98877	备不住	65536	114047	3	{d=0}
-98878	囊中羞	67426	95803	1	null
-98879	冒名	65538	20882	2	{vd=0}
-98880	发言权	65536	143448	3	{n=6}
-98881	两栖舰	65536	93857	3	{n=0}
-98882	介绍	66064	20171	2	{n=0, v=287, vd=0, vn=22}
-98883	备件箱	65536	114280	3	{n=0}
-98884	备忘录	65536	118602	3	{n=6}
-98885	喉咙	65536	21897	3	{n=1}
-98886	备料场	65536	120075	3	{n=0}
-98887	免不	67390	20813	1	null
-98888	冲翼艇	65536	118814	3	{n=0}
-98889	备而不	68902	126846	1	null
-98890	一步舞	65536	93029	3	{n=0}
-98891	备用品	65536	124058	3	{n=0}
-98892	优柔	65537	20248	2	{a=0}
-98893	供排	65544	20379	1	null
-98894	备而不用	65536	98889	3	{i=0}
-98895	复八线	65536	133232	3	{nz=0}
-98896	仪表舱	65536	101258	3	{n=0}
-98897	佛国	65536	20315	3	{n=3}
-98898	复兴党	65536	133241	3	{n=0}
-98899	列为	65536	21015	3	{v=37}
-98900	复写纸	65536	133278	3	{n=0}
-98901	复利率	65536	133422	3	{n=0}
-98902	复制件	65536	133435	3	{n=0}
-98903	列举	65536	21015	3	{v=4}
-98904	复合材料	65536	104716	3	{n=4}
-98905	复合肥料	65536	111201	3	{l=1, n=0}
-98906	培养	75128	22521	2	{v=159, vn=40}
-98907	丘脑	65536	19992	3	{n=0}
-98908	乌桕	65536	20044	3	{n=1}
-98909	复名数	65536	133906	3	{n=0}
-98910	吴家	72863	21556	1	null
-98911	处女作	65536	122139	3	{n=1}
-98912	响声	65536	21709	3	{n=1}
-98913	复印件	65536	133749	3	{n=6}
-98914	复员军人	65536	98916	3	{n=1}
-98915	下寨	65554	19979	1	null
-98916	复员军	78760	133981	1	null
-98917	复新剂	65536	138421	3	{n=3}
-98918	复杂劳动	65536	99106	3	{l=0}
-98919	复种指	72952	143570	1	null
-98920	复种指数	65536	98919	3	{l=0}
-98921	交通网	65536	120068	3	{n=2}
-98922	复色光	65536	145783	3	{n=0}
-98923	夏乐宫	65536	127410	3	{ns=0}
-98924	夏令时	65536	127558	3	{n=0}
-98925	夏商周	65536	129192	3	{j=0, t=1}
-98926	夏威夷	74999	130403	2	{ns=1}
-98927	丧尽天良	65536	88388	3	{i=0}
-98928	不避艰	65537	119568	1	null
-98929	举步维艰	65536	98036	3	{i=0, l=3}
-98930	不动声色	65536	88351	3	{i=0}
-98931	不露声色	65536	88305	3	{i=0}
-98932	三原色	65536	92608	3	{n=0}
-98933	丢眼色	65536	96433	3	{l=0}
-98934	义形于色	65536	85997	3	{i=0}
-98935	乳白色	65536	101195	3	{n=3}
-98936	了无惧色	65536	90359	3	{i=0}
-98937	争奇斗艳	65536	91543	3	{l=4}
-98938	争鲜斗艳	65536	91550	3	{i=1}
-98939	争芳斗艳	65536	91549	3	{i=0}
-98940	五光十色	65536	86913	3	{i=7}
-98941	二元	65550	20108	2	{b=2}
-98942	五颜六色	65536	86446	3	{i=7}
-98943	使眼色	65536	103230	3	{l=0}
-98944	其味	65673	20854	1	null
-98945	争相	65536	20105	3	{d=10}
-98946	上元节	65536	93449	3	{t=0}
-98947	不拘小节	65536	89372	3	{i=1}
-98948	中元节	65536	106007	3	{t=0}
-98949	中秋节	65536	116383	3	{t=2}
-98950	五月节	65536	110780	3	{t=0}
-98951	元宵节	65536	107778	3	{t=5}
-98952	八月节	65536	111612	3	{t=0}
-98953	创业维艰	65536	99273	3	{i=0}
-98954	下小	65539	19979	1	null
-98955	十月革命节	65536	89476	3	{n=1}
-98956	乌梅	65536	20044	3	{n=0}
-98957	协奏	65543	21327	2	{v=1, vn=1}
-98958	卑躬屈节	65536	90597	3	{i=0}
-98959	五一节	65536	104372	3	{t=0}
-98960	历尽艰	65550	103284	1	null
-98961	双增双节	65536	91408	3	{j=0}
-98962	亲家	65618	20146	2	{n=0}
-98963	初露锋芒	65536	103897	3	{i=1}
-98964	勤俭节	65703	95763	1	null
-98965	反季节	65536	130314	3	{b=2}
-98966	古尔邦节	65536	102577	3	{t=0}
-98967	古铜色	65536	144120	3	{n=1}
-98968	各具特色	65536	94893	3	{l=11}
-98969	保险箱	65536	125494	3	{n=0}
-98970	吉马良	67264	133062	1	null
-98971	和颜悦色	65536	94497	3	{i=0}
-98972	喜形于色	65536	95207	3	{i=1}
-98973	喜结良	65730	137095	1	null
-98974	储电	65567	20648	1	null
-98975	任教	65536	20219	3	{v=5}
-98976	万般	65548	19975	2	{d=0}
-98977	叙文	65536	21465	3	{n=0}
-98978	亲密	65575	20146	2	{a=7, ad=0}
-98979	保护林	65536	112241	3	{n=0}
-98980	国庆节	65536	138853	3	{t=2}
-98981	坐失良	70854	128602	1	null
-98982	三顾茅芦	65536	99077	3	{i=0}
-98983	依葫芦	65554	106880	1	null
-98984	冰糖葫芦	65536	99435	3	{l=1, n=3}
-98985	冰雪节	65536	130543	3	{n=5}
-98986	地质局	65536	152455	3	{n=2}
-98987	坯子	65536	22383	3	{n=0}
-98988	喧宾	72456	21927	1	null
-98989	丢脸	65536	20002	3	{a=0}
-98990	伟绩	65536	20255	3	{n=1}
-98991	圆珠笔芯	65536	97077	3	{n=4}
-98992	临深	65536	20020	1	null
-98993	一花	65537	19968	1	null
-98994	丁香花	65536	104936	3	{n=0}
-98995	万世流芳	65536	93506	3	{i=0}
-98996	万古流芳	65536	93520	3	{i=0}
-98997	万古留芳	65536	95592	3	{i=0}
-98998	丑妇竞簪花	65536	97322	3	{l=1, n=0}
-98999	交际花	65536	121647	3	{n=0}
-99000	令箭荷花	65536	99191	3	{l=0}
-99001	凤仙花	65536	90449	3	{n=0}
-99002	单性花	65536	128303	3	{n=0}
-99003	单生花	65536	133671	3	{n=0}
-99004	合瓣花	72272	136696	1	null
-99005	下层	65536	19979	3	{f=0}
-99006	北极点	65536	128562	3	{n=0}
-99007	印刷术	65536	113385	3	{n=0}
-99008	增收节	71970	131038	1	null
-99009	墨绿色	65536	126558	3	{n=0}
-99010	免予	65536	20813	3	{v=0}
-99011	复活节	65536	140352	3	{t=1}
-99012	临清	65536	20020	3	{n=0}
-99013	下届	65536	19979	3	{b=11}
-99014	堇色	65536	22535	3	{n=0}
-99015	嘱托	65536	22065	3	{v=1, vn=4}
-99016	免于	65536	20813	3	{v=1}
-99017	临渊	65536	20020	1	null
-99018	印刷机	65536	113385	3	{n=0}
-99019	出水芙	65536	128862	1	null
-99020	分子筛	65536	125596	3	{n=0}
-99021	增殖率	65536	132670	3	{n=0}
-99022	上月	65536	19978	3	{t=15}
-99023	凉苏苏	65536	115342	3	{z=0}
-99024	噜苏	65536	22108	3	{a=0}
-99025	声震中	75960	147593	1	null
-99026	光阴荏苒	65536	100800	3	{i=0}
-99027	事情	65536	20107	3	{n=95}
-99028	三河	65539	19977	1	null
-99029	夏威夷州	65536	98926	3	{ns=0}
-99030	七色	65540	19971	1	null
-99031	单根独苗	65536	94960	3	{l=0}
-99032	卡介苗	65536	111587	3	{n=0}
-99033	下属	65536	19979	3	{n=0, v=29, vn=0}
-99034	夏常服	65536	131482	3	{n=0}
-99035	哑弹	65536	21713	3	{n=0}
-99036	均值	65536	22343	3	{n=1}
-99037	嗜好	65536	21980	3	{n=1, vn=1}
-99038	夏时制	65536	133464	3	{n=0}
-99039	一丝不苟	65536	85519	3	{i=5}
-99040	三沿	65536	19977	3	{j=1}
-99041	偷合苟	65590	103442	1	null
-99042	夏洛特	65536	135293	3	{ns=0}
-99043	上朝	65536	19978	3	{v=0}
-99044	夏津县	65536	135303	3	{ns=0}
-99045	上期	65536	19978	3	{b=1}
-99046	不辞劳苦	65536	86733	3	{i=1}
-99047	举重若	65539	104908	1	null
-99048	从容自若	65536	99499	3	{i=0}
-99049	伶仃孤苦	65536	89036	3	{i=0}
-99050	下屯	65616	19979	1	null
-99051	不辞辛苦	65536	102325	3	{i=2}
-99052	下山	65536	19979	3	{v=2}
-99053	光荣花	65536	124386	3	{n=0}
-99054	冥思苦	65544	90805	1	null
-99055	勤学苦	65692	98700	1	null
-99056	千辛万苦	65536	89538	3	{i=0}
-99057	受宠若	67784	124254	1	null
-99058	同甘共苦	65536	93631	3	{i=6}
-99059	临渴	65536	20020	1	null
-99060	克什若	65539	103542	1	null
-99061	含辛茹苦	65536	99132	3	{i=1}
-99062	埋头苦	73384	102089	1	null
-99063	夏熟作	69780	136449	1	null
-99064	俗称	65536	20439	3	{n=0, v=2}
-99065	几时	65536	20960	3	{r=0}
-99066	基本功	65536	131753	3	{n=4}
-99067	侧方	65536	20391	3	{f=0}
-99068	依旧	65536	20381	3	{d=0, z=14}
-99069	夏熟作物	65536	99063	3	{n=0}
-99070	夏秋季	65536	138541	3	{j=0}
-99071	复合元	65555	133901	1	null
-99072	上机	65536	19978	3	{v=1}
-99073	叙旧	65536	21465	3	{v=0}
-99074	吃不服	65536	120708	3	{l=0}
-99075	五规范	65536	119672	3	{j=0}
-99076	劳动模范	65536	109484	3	{n=31}
-99077	三顾茅	65536	110239	1	null
-99078	初出茅	65717	115587	1	null
-99079	千古风范	65536	109611	3	{i=0}
-99080	名列前茅	65824	93669	2	{i=4}
-99081	图文并茂	65536	96487	3	{i=0, l=6}
-99082	典礼	65536	20856	3	{n=18}
-99083	十三经	65536	113334	3	{n=1}
-99084	声情并茂	65536	97948	3	{l=3}
-99085	健旺	65536	20581	3	{a=0}
-99086	地上茎	65536	136297	3	{n=0}
-99087	侏罗纪	65536	98494	3	{nr=1, t=1}
-99088	同化政	65560	130573	1	null
-99089	休渔	65536	20241	3	{v=0}
-99090	下岗	65536	19979	3	{v=74, vn=219}
-99091	世系	65536	19990	3	{n=0}
-99092	塌台	65536	22604	3	{v=0}
-99093	临湖	65536	20020	1	null
-99094	原子尘	65536	126179	3	{n=0}
-99095	临湘	65555	20020	1	null
-99096	夏蒙尼	65536	141307	3	{n=0}
-99097	不能自	65540	115598	1	null
-99098	向阳花	65536	123467	3	{n=0}
-99099	厄立	65556	21380	1	null
-99100	夕阳西下	65536	101919	3	{l=3}
-99101	外专局	65536	140436	3	{j=2}
-99102	不言自	65537	117905	1	null
-99103	外乡人	65536	140514	3	{n=0}
-99104	外交大臣	65536	99724	3	{n=20}
-99105	外交特权	65536	106206	3	{l=0}
-99106	复杂劳	77758	138823	1	null
-99107	列伊	65536	21015	3	{j=0, n=4, q=3}
-99108	外交辞令	65536	113667	3	{l=0}
-99109	万花	65539	19975	1	null
-99110	外伤学	65536	140709	3	{n=0}
-99111	外公切	66672	141293	1	null
-99112	亚塞诺瓦茨	65536	95463	3	{ns=0}
-99113	亚赛诺瓦茨	65536	95464	3	{ns=0}
-99114	伊尔库茨	65561	89782	1	null
-99115	上来	65536	19978	3	{v=22}
-99116	三洋	65536	19977	3	{nz=1}
-99117	不对茬	65558	106122	1	null
-99118	喘息	65536	21912	3	{v=1, vn=1}
-99119	外公切线	65536	99111	3	{l=0}
-99120	外分泌	65536	141447	3	{n=0}
-99121	唾液	65556	21822	2	{n=0}
-99122	夏至点	65536	140629	3	{n=0}
-99123	上杭	65539	19978	2	{ns=0}
-99124	亚当	65536	20122	3	{n=0}
-99125	囚室	65536	22234	3	{n=0}
-99126	乌龙茶	65536	113056	3	{n=0}
-99127	外向型	65536	141970	3	{b=3}
-99128	厚茸茸	65536	119214	3	{z=0}
-99129	列传	65536	21015	3	{n=0}
-99130	亲属	65536	20146	3	{n=42}
-99131	党政纪	65536	111452	3	{j=2}
-99132	含辛茹	65551	122997	1	null
-99133	外在性	65536	142761	3	{n=0}
-99134	丁苯	65537	19969	1	null
-99135	三洞	65536	19977	1	null
-99136	二分	65539	20108	2	{v=0}
-99137	休眠芽	65536	101405	3	{n=0}
-99138	夕阳红	65536	114727	3	{nz=0}
-99139	外国人	65536	142718	3	{n=16}
-99140	人造肉	65536	125991	3	{n=0}
-99141	外地人	65536	142769	3	{n=0}
-99142	外委会	65536	143445	3	{j=1}
-99143	外交团	65536	140581	3	{n=0}
-99144	外婆桥	65536	143559	3	{n=0}
-99145	一草	65601	19968	1	null
-99146	三叶草	65536	92695	3	{n=0}
-99147	人非草	65553	127845	1	null
-99148	专心致	65537	93757	1	null
-99149	仙鹤草	65536	108079	3	{n=0}
-99150	冬虫夏草	65536	88561	3	{n=0}
-99151	名花异草	65536	93814	3	{l=1}
-99152	凤尾草	65536	93878	3	{n=0}
-99153	含羞草	65536	118904	3	{n=0}
-99154	各行其是	65536	93118	3	{i=3}
-99155	二则	65536	20108	3	{c=2}
-99156	地老天荒	65536	97169	3	{i=0}
-99157	基督教	73206	135904	2	{nz=10}
-99158	佛堂	65536	20315	3	{n=0}
-99159	夏枯草	65536	133905	3	{n=0}
-99160	售书	65536	21806	3	{v=2, vn=0}
-99161	外展神	66700	144086	1	null
-99162	吃不来	65536	120708	3	{l=0}
-99163	外展神经	65536	99161	3	{l=0}
-99164	外强中	74989	144827	1	null
-99165	乌拉草	65536	97488	3	{n=0}
-99166	外孙女	65536	143834	3	{n=0}
-99167	外强中干	65536	99164	3	{i=0}
-99168	外接圆	65536	145958	3	{n=0}
-99169	倾家荡	67176	94776	1	null
-99170	三流	65536	19977	3	{b=1}
-99171	冗笔	65536	20887	3	{n=0}
-99172	半瓶子晃荡	65536	91820	3	{l=1, n=0}
-99173	卖友求荣	65536	93264	3	{i=0}
-99174	卖国求荣	65536	93320	3	{i=1}
-99175	俊美	65536	20426	3	{a=0}
-99176	回肠荡	68478	143520	1	null
-99177	坦坦荡荡	65536	101998	3	{z=0}
-99178	倾注	65536	20542	3	{v=12}
-99179	外族人	65536	146512	3	{n=0}
-99180	堤围	65536	22564	3	{n=0}
-99181	外星人	65536	146592	3	{n=0}
-99182	外果皮	65536	146973	3	{n=0}
-99183	一药	65536	19968	3	{j=0}
-99184	不可救药	65536	91733	3	{i=0}
-99185	中成药	65536	110308	3	{n=1}
-99186	中草药	65536	118813	3	{n=2}
-99187	催产药	65536	95373	3	{n=0}
-99188	内服药	65536	123819	3	{n=0}
-99189	化痰药	65536	118490	3	{n=0}
-99190	吃后悔药	65536	92950	3	{l=0}
-99191	令箭荷	65543	97776	1	null
-99192	名医药	65536	133540	3	{n=1}
-99193	后悔药	65536	135357	3	{n=0}
-99194	哄堂	71782	21700	1	null
-99195	基本电荷	65536	107920	3	{l=0}
-99196	外敷药	65536	146424	3	{n=0}
-99197	倾泻	65536	20542	3	{v=1, vn=1}
-99198	外毒素	65536	148051	3	{n=0}
-99199	合成染	67153	131877	1	null
-99200	外汇券	65536	148168	3	{n=0}
-99201	劝架	65536	21149	3	{v=0}
-99202	吞云	72494	21534	1	null
-99203	外环线	65536	150064	3	{n=1}
-99204	外甥女	65536	150438	3	{n=0}
-99205	复杂化	65536	138823	3	{v=4}
-99206	严肃	65546	20005	2	{a=18, ad=19, an=0, v=2, vn=0}
-99207	外省人	65536	150914	3	{n=0}
-99208	外秘级	65536	151641	3	{b=0}
-99209	外经贸委	65536	112558	3	{j=1}
-99210	外胚层	65536	153435	3	{n=0}
-99211	外营力	65536	154278	3	{n=0}
-99212	外经外	65678	152912	1	null
-99213	健智	65541	20581	1	null
-99214	伊丽莎	65555	94198	1	null
-99215	北极熊	65536	128562	3	{n=0}
-99216	凌汛	65536	20940	3	{n=0}
-99217	中医药	65536	106511	3	{j=0, n=15}
-99218	喀秋莎	65536	108658	3	{n=0}
-99219	丸药	65536	20024	3	{n=0}
-99220	外行星	65536	155341	3	{n=0}
-99221	外资股	65536	156613	3	{n=0}
-99222	外贸局	65536	156601	3	{n=0}
-99223	处理厂	65536	128942	3	{n=8}
-99224	另有	67606	21478	1	null
-99225	外面儿	78418	159203	1	null
-99226	十年浩	68304	117537	1	null
-99227	外面儿光	65536	99225	3	{l=0}
-99228	可怜相	65536	131033	3	{n=0}
-99229	外高加索	65536	99237	3	{ns=0}
-99230	埋三	72942	22475	1	null
-99231	乙类	65536	20057	3	{n=1}
-99232	不稂不莠	65536	85808	3	{i=0}
-99233	准予	65536	20934	3	{v=0, vn=0}
-99234	专用	65547	19987	2	{b=4, v=2, vn=17}
-99235	咽峡	65765	21693	1	null
-99236	夙世冤	75760	104648	1	null
-99237	外高加	67195	160089	1	null
-99238	夙世冤家	65536	99236	3	{i=0}
-99239	夙兴夜	75738	105510	1	null
-99240	佛塔	65536	20315	3	{n=0}
-99241	二副	65536	20108	3	{n=0}
-99242	夙兴夜寐	65536	99239	3	{i=0}
-99243	一筹莫	65537	97145	1	null
-99244	万夫莫	65537	88479	1	null
-99245	噬脐莫	74001	98663	1	null
-99246	多一事	79267	140667	1	null
-99247	专电	65536	19987	3	{n=7}
-99248	多一事不	76346	99246	1	null
-99249	万德莱	65536	90155	3	{nz=21}
-99250	凤眼莲	65536	100788	3	{n=0}
-99251	劳斯莱	65761	114027	1	null
-99252	卡瓦莱	68464	121342	1	null
-99253	后悔莫	72461	135357	1	null
-99254	墨旱莲	65536	120144	3	{n=0}
-99255	不劳而获	65536	98329	3	{i=0}
-99256	一无所获	65536	90689	3	{i=3}
-99257	人赃俱获	65536	86204	3	{i=0}
-99258	俘获	65536	20440	3	{v=1}
-99259	几分收获	65536	91555	3	{i=0}
-99260	多一事不如	75695	99248	1	null
-99261	合成树	65558	131877	1	null
-99262	乃至	65536	20035	3	{c=62, d=0}
-99263	剽窃	65536	21117	3	{v=0, vn=0}
-99264	多一事不如少	79297	99260	1	null
-99265	多一事不如少一	79159	99264	1	null
-99266	多一事不如少一事	65536	99265	3	{i=0}
-99267	多事之	68095	140806	1	null
-99268	六年	66592	20845	1	null
-99269	夕姑	65536	22805	3	{nr=0}
-99270	咬合	65536	21676	3	{vn=0}
-99271	双孢菇	65536	127162	3	{n=0}
-99272	外祖母	65536	151511	3	{n=0}
-99273	创业维	65561	105582	1	null
-99274	多事之秋	65536	99267	3	{i=2}
-99275	多云到	65806	140812	1	null
-99276	乳酸菌	65536	108102	3	{n=0}
-99277	亚硝化螺菌	65536	100282	3	{n=3}
-99278	制霉菌	65539	127883	1	null
-99279	双球菌	65536	133467	3	{n=0}
-99280	参与者	65536	111591	3	{n=6}
-99281	固氮菌	65536	113459	3	{n=0}
-99282	多人多	65536	140853	3	{nz=0}
-99283	古生物学界	65536	92728	3	{n=1}
-99284	多会儿	65536	140949	3	{r=0, t=0}
-99285	堤坝	65536	22564	3	{n=3}
-99286	啤酒瓶	65536	102744	3	{n=2}
-99287	坡度	65536	22369	3	{n=0}
-99288	勾引	65536	21246	3	{v=0}
-99289	堤坡	65536	22564	3	{n=0}
-99290	多伦多	75236	140961	2	{ns=11}
-99291	哭叫	65536	21741	3	{v=0, vn=0}
-99292	乌塌菜	65536	94803	3	{n=0}
-99293	包心菜	65536	117376	3	{n=0}
-99294	卷心菜	65536	112950	3	{n=2}
-99295	严胜	65536	20005	3	{nz=0}
-99296	位置	65536	20301	3	{n=110}
-99297	叶甜菜	65536	117270	3	{n=0}
-99298	圆白菜	65536	132194	3	{n=0}
-99299	塌棵菜	65536	104473	3	{n=0}
-99300	多义字	65536	140740	3	{n=0}
-99301	修修	65559	20462	2	{v=1}
-99302	多伦多市	65536	99290	3	{ns=0}
-99303	上校	65536	19978	3	{n=0}
-99304	凌河	65536	20940	3	{ns=0}
-99305	售价	65536	21806	3	{n=10, v=1}
-99306	多倍体	65536	141192	3	{n=0}
-99307	东拉	65541	19996	1	null
-99308	墨西哥合	77648	97894	1	null
-99309	吃喝玩	72907	122644	1	null
-99310	多党制	65536	141525	3	{n=1}
-99311	劫持	65539	21163	2	{v=0}
-99312	多功能	65536	141850	3	{b=0}
-99313	京求	65536	20140	3	{nz=4}
-99314	临漳	65569	20020	2	{ns=1}
-99315	圣达菲	65536	145768	3	{nz=0}
-99316	云朵	65536	20113	3	{n=1}
-99317	多劳多	74849	141870	1	null
-99318	初级社	65536	127024	3	{n=1}
-99319	何乐而	66568	94253	1	null
-99320	多劳多得	65536	99317	3	{l=0}
-99321	八宝菜	65536	108689	3	{n=0}
-99322	多元化	65536	141502	3	{a=0, v=13, vd=2, vn=36}
-99323	咏春	65536	21647	3	{v=2}
-99324	多发病	65536	142156	3	{n=1}
-99325	不辨菽	65536	119353	1	null
-99326	圈套	65536	22280	3	{n=2}
-99327	多口相	76560	142174	1	null
-99328	多口相声	65536	99327	3	{l=0}
-99329	多吃多	77988	142206	1	null
-99330	垫上	65708	22443	1	null
-99331	出类拔萃	65536	90842	3	{i=4}
-99332	多吃多占	65536	99329	3	{l=0}
-99333	坏东	65567	22351	1	null
-99334	多味斋	65536	142318	3	{n=0}
-99335	办事	67771	21150	2	{v=55, vn=13}
-99336	云杉	65536	20113	3	{n=0}
-99337	呆坏	65651	21574	1	null
-99338	塑料件	65536	104727	3	{n=0}
-99339	勤工	68371	21220	1	null
-99340	厉行节	70816	105395	1	null
-99341	勒石	65688	21202	1	null
-99342	境地	65536	22659	3	{n=9}
-99343	代市	65542	20195	1	null
-99344	多嘴多	66055	142767	1	null
-99345	块头	65536	22359	3	{n=2}
-99346	上桌	65536	19978	3	{v=1}
-99347	多嘴多舌	65536	99344	3	{i=0}
-99348	多国公	77853	142968	1	null
-99349	多国公司	65536	99348	3	{n=0}
-99350	勾当	65536	21246	3	{n=4}
-99351	凌波	67890	20940	1	null
-99352	叹服	65536	21497	3	{v=1}
-99353	多多少少	65536	99382	3	{m=0}
-99354	多多益善	65536	106223	3	{i=1}
-99355	叛徒	65536	21467	3	{n=2}
-99356	人身自	65549	125618	1	null
-99357	剪秋萝	65536	113884	3	{n=0}
-99358	东拼	65542	19996	1	null
-99359	多如牛	71764	143613	1	null
-99360	吃得来	65536	125198	3	{l=0}
-99361	具体而	65613	88049	1	null
-99362	园林式	65536	111055	3	{b=0}
-99363	噬菌	75150	22124	1	null
-99364	坏主	72396	22351	1	null
-99365	乳燕营	65536	100003	1	null
-99366	三清	65542	19977	1	null
-99367	企业经营	65594	98731	1	null
-99368	佛罗伦萨	65536	86628	3	{ns=0}
-99369	上档	65539	19978	1	null
-99370	健朗	65536	20581	3	{a=0}
-99371	冬令营	65536	105552	3	{n=0}
-99372	充放	65580	20805	1	null
-99373	培华	65536	22521	3	{nz=0}
-99374	喀喇	67293	21888	1	null
-99375	多如牛毛	65536	99359	3	{l=0}
-99376	堇菜	65536	22535	3	{n=0}
-99377	多姿多	74986	143738	1	null
-99378	个体营	65536	86234	1	null
-99379	句法	66113	21477	2	{n=0}
-99380	土地庙	65536	135922	3	{n=0}
-99381	党政群	65536	111452	3	{j=0}
-99382	多多少	75784	143509	1	null
-99383	多媒体	65536	143885	3	{a=0, n=16}
-99384	印度河	65536	116568	3	{ns=0}
-99385	吴茱萸	65536	109017	3	{n=0}
-99386	堤埂	65536	22564	3	{n=0}
-99387	临潼	65536	20020	3	{ns=1}
-99388	多子多	76012	144075	1	null
-99389	一落	65541	19968	1	null
-99390	七零八落	65536	86394	3	{i=0}
-99391	不甘落	65543	112553	1	null
-99392	丢三落	65541	85886	1	null
-99393	丧魂落	65536	105689	1	null
-99394	光明磊落	65536	96477	3	{i=2}
-99395	卢比	65536	21346	3	{n=0, q=0}
-99396	告一段落	65536	94188	3	{l=3}
-99397	多子多孙	65536	99388	3	{n=1}
-99398	保健茶	65536	107570	3	{n=0}
-99399	上梁	65693	19978	1	null
-99400	剖示	65536	21078	3	{v=1}
-99401	墙头草	65536	108754	3	{n=0}
-99402	外经委	65536	152912	3	{j=0}
-99403	上梅	65536	19978	1	null
-99404	东挪	65543	19996	1	null
-99405	塑像	65536	22609	3	{n=10}
-99406	外来人	65536	146918	3	{n=0}
-99407	坏书	65536	22351	3	{n=0}
-99408	二化	65537	20108	1	null
-99409	多孔结	72918	144079	1	null
-99410	凋萎	65536	20939	3	{v=0}
-99411	多姿多彩	65536	99377	3	{a=0, l=9}
-99412	净收	67220	20928	1	null
-99413	分离舱	65536	133383	3	{n=0}
-99414	催眠药	65536	105734	3	{n=0}
-99415	众目昭著	65536	91711	3	{l=0}
-99416	劣迹昭著	65536	91790	3	{i=0}
-99417	京沪	65588	20140	2	{j=1}
-99418	多孔结构	65536	99409	3	{n=0}
-99419	伞菌	65536	20254	3	{n=0}
-99420	多尿症	65536	144314	3	{n=0}
-99421	多层次	65536	144317	3	{b=0, d=0, n=0}
-99422	充数	65536	20805	3	{v=1}
-99423	多巴哥	78576	144751	2	{ns=0}
-99424	下工	65554	19979	2	{v=1}
-99425	多巴哥共	77782	99423	1	null
-99426	多巴哥共和	77158	99425	1	null
-99427	多巴哥共和国	65536	99426	3	{ns=0}
-99428	多幕剧	65536	144848	3	{n=0}
-99429	任期	65536	20219	3	{n=20, v=0}
-99430	临澧	65570	20020	1	null
-99431	多年生	65536	144879	3	{b=1}
-99432	多弹头	65536	145076	3	{n=0}
-99433	凭据	65536	20973	3	{n=0}
-99434	咬咬	65536	21676	3	{v=1}
-99435	冰糖葫	65538	123867	1	null
-99436	井筒	65536	20117	3	{n=0}
-99437	多彩多	76399	145124	1	null
-99438	多彩多姿	65536	99437	3	{l=2}
-99439	下巴	65536	19979	2	{n=0}
-99440	多快好	68978	145254	1	null
-99441	丰美	65536	20016	3	{a=1}
-99442	倒栽葱	65536	111634	3	{l=0}
-99443	多快好省	65536	99440	3	{l=1}
-99444	坏事	65536	22351	3	{n=4}
-99445	二医	65589	20108	1	null
-99446	六弦	65540	20845	1	null
-99447	三湖	65536	19977	3	{j=0}
-99448	向日葵	65536	111101	3	{n=0}
-99449	墩子	65536	22697	3	{n=0}
-99450	多愁善	74589	145532	1	null
-99451	二十	65989	20108	1	null
-99452	多愁善感	65536	99450	3	{i=0}
-99453	多才多	66052	145864	1	null
-99454	多才多艺	65536	99453	3	{i=0}
-99455	剥离	65536	21093	3	{v=20, vn=2}
-99456	多数派	65536	146667	3	{n=0}
-99457	凋落	65536	20939	3	{v=2, vn=0}
-99458	伊拉	65673	20234	1	null
-99459	圣埃蒂	73331	131437	1	null
-99460	多方位	65536	146740	3	{b=1}
-99461	多普勒	65536	146921	3	{nz=0}
-99462	勾心	65792	21246	1	null
-99463	多晶体	65536	146929	3	{n=0}
-99464	佛头	65539	20315	1	null
-99465	卧室	65536	21351	3	{n=5}
-99466	多来咪	65536	147168	3	{nz=0}
-99467	多极化	65536	147196	3	{v=13, vd=0, vn=15}
-99468	多样化	65536	147378	3	{m=0, v=20, vd=0, vn=16}
-99469	刑房	65536	21009	3	{n=0}
-99470	劫掠	68830	21163	2	{v=0, vn=0}
-99471	上棉	65536	19978	3	{j=0}
-99472	印度洋	65536	116568	3	{ns=0}
-99473	下帖	65536	19979	3	{v=0}
-99474	多此一	79446	148191	1	null
-99475	充斥	65536	20805	3	{v=1}
-99476	多此一举	65536	99474	3	{i=0}
-99477	壶口	65536	22774	3	{ns=0}
-99478	博士生	65536	109927	3	{n=12}
-99479	多法拉	76498	148560	1	null
-99480	多法拉姆	65536	99479	3	{nz=0}
-99481	多灾多	65677	149497	1	null
-99482	多瑙河	65536	150484	3	{ns=2}
-99483	多神教	65536	151769	3	{n=0}
-99484	代序	65536	20195	3	{n=0}
-99485	多种多	72808	151880	1	null
-99486	卤族	65536	21348	3	{n=0}
-99487	多种多样	65536	99485	3	{l=9}
-99488	多管闲事	65536	104270	3	{l=0}
-99489	多管齐下	65536	106668	3	{l=1}
-99490	义父	65536	20041	3	{n=0}
-99491	坏人	74902	22351	2	{n=3}
-99492	埋伏	75281	22475	2	{v=0, vn=0}
-99493	呵斥	65536	21621	3	{v=0, vn=0}
-99494	均分	65536	22343	3	{v=0}
-99495	多米尼	78345	152558	1	null
-99496	堤堰	65536	22564	3	{n=1}
-99497	多米尼加	65536	99495	3	{n=0, ns=0}
-99498	多级火	67840	153122	1	null
-99499	从容自	65539	105604	1	null
-99500	凌海	65787	20940	2	{ns=0}
-99501	多级火箭	65536	99498	3	{n=0}
-99502	典章	65536	20856	3	{n=1}
-99503	多罗米	65582	153298	1	null
-99504	多罗米蒂	65536	99503	3	{ns=0}
-99505	多聚糖	65536	153557	3	{n=0}
-99506	唐菖蒲	65536	116824	3	{n=0}
-99507	多胚生	71966	153685	1	null
-99508	多胚生殖	65536	99507	3	{l=0}
-99509	多角度	65536	155981	3	{n=3}
-99510	嘴巴	65536	22068	3	{n=2}
-99511	团体照	65536	123337	3	{n=0}
-99512	多谋善	73499	156550	1	null
-99513	多谋善算者	65536	105138	3	{n=1}
-99514	多足类	65536	156974	3	{n=0}
-99515	多躁少	65599	157180	1	null
-99516	地区差	76752	137625	1	null
-99517	境域	65536	22659	3	{n=0}
-99518	多边形	65536	157492	3	{a=0, n=0}
-99519	凝眸	65536	20957	3	{v=3, vd=0}
-99520	多道程	75316	157646	1	null
-99521	伤疤	65536	20260	3	{n=2}
-99522	世纪	65536	19990	2	{n=444, t=0}
-99523	多道程序	65536	99520	3	{n=0}
-99524	养精蓄	65536	115325	1	null
-99525	兼收并蓄	65536	89827	3	{i=2}
-99526	多难兴	65556	159289	1	null
-99527	多音字	65536	159598	3	{n=0}
-99528	多谋善断	65536	99512	3	{i=1}
-99529	出水芙蓉	65536	99019	3	{i=0}
-99530	原料药	65536	128812	3	{n=1}
-99531	多项式	65536	159732	3	{n=0}
-99532	夜不能	76029	127304	1	null
-99533	夜不能寐	65536	99532	3	{i=0}
-99534	夜不闭户	65536	104892	3	{i=1}
-99535	十二生	65536	113465	1	null
-99536	垫付	65536	22443	3	{v=3}
-99537	夜以继	73453	127520	1	null
-99538	夜以继日	65536	99537	3	{i=3}
-99539	增值税	65536	125668	3	{n=14}
-99540	京津	65536	20140	3	{j=1}
-99541	北极狐	65536	128562	3	{n=0}
-99542	处理品	65536	128942	3	{n=0}
-99543	多面体	65536	159453	3	{n=0}
-99544	协定	65536	21327	3	{n=53}
-99545	夜半更	71402	128645	1	null
-99546	创业者	65536	105582	3	{n=4}
-99547	夜半更深	65536	99545	3	{l=1}
-99548	夜大学	65536	130146	3	{n=1}
-99549	哭哭	72838	21741	1	null
-99550	夜光杯	65536	128132	3	{n=0}
-99551	侧枝	65536	20391	3	{n=0}
-99552	夜尿症	65536	130938	3	{n=0}
-99553	夜幕低	77153	131472	1	null
-99554	伤病	65620	20260	2	{n=2}
-99555	夜幕低垂	65536	99553	3	{l=0}
-99556	仿纸	65536	20223	3	{n=0}
-99557	坝上	65536	22365	3	{ns=0, s=11}
-99558	夜总会	65536	131958	3	{n=5}
-99559	夜深人	65600	135468	1	null
-99560	其四	65536	20854	3	{r=3}
-99561	乱点	65536	20081	1	null
-99562	夜明星	65536	133449	3	{n=0}
-99563	多姿多态	65536	99377	3	{i=0}
-99564	乱蓬蓬	65536	104732	3	{z=0}
-99565	京派	65536	20140	3	{n=0}
-99566	夜猫子	65536	136806	3	{l=0}
-99567	下年	65536	19979	3	{t=1}
-99568	夜生活	65536	137306	3	{n=0}
-99569	夜盲症	65536	137773	3	{n=0}
-99570	伤痕	65536	20260	3	{n=5}
-99571	夜礼服	65536	138359	3	{n=0}
-99572	夜郎自	76750	144393	1	null
-99573	夜郎自大	65536	99572	3	{i=0}
-99574	准保	65536	20934	3	{d=0}
-99575	夜长梦	76768	145594	1	null
-99576	伤痛	65536	20260	3	{n=3}
-99577	反对派	65536	130464	3	{n=14}
-99578	夜长梦多	65536	99575	3	{i=0}
-99579	夜阑人	65604	145740	1	null
-99580	发射机	65536	131676	3	{n=0}
-99581	名特新	73552	141538	1	null
-99582	夜静更	71438	146068	1	null
-99583	夜静更深	65536	99582	3	{i=0}
-99584	够交情	65536	105403	3	{v=0}
-99585	够劲儿	65536	106441	3	{a=0}
-99586	够味儿	65536	106890	3	{a=0}
-99587	够意思	65536	110118	3	{l=0}
-99588	咸兴	70498	21688	2	{ns=0}
-99589	信息箱	65536	111589	3	{n=0}
-99590	够朋友	65536	111650	3	{v=0}
-99591	够瞧的	65536	115902	3	{a=0}
-99592	大一统	65536	148378	3	{l=0}
-99593	促膝	66543	20419	2	{v=0}
-99594	堵住	65536	22581	3	{v=7}
-99595	器官	65536	22120	3	{n=4}
-99596	大丈夫	65536	148386	3	{n=0}
-99597	大不列颠及	78328	104643	1	null
-99598	卢沟	65655	21346	1	null
-99599	大不列颠及北	70367	99597	1	null
-99600	大不列颠及北爱	76031	99599	1	null
-99601	侧柏	65536	20391	3	{n=0}
-99602	卑污	65536	21329	3	{a=0}
-99603	大不列颠及北爱尔	78758	99600	1	null
-99604	侮蔑	65536	20398	3	{v=0}
-99605	喜怒无	71102	129222	1	null
-99606	大不列颠及北爱尔兰	66757	99603	1	null
-99607	劈天	65540	21128	1	null
-99608	反射率	65536	130475	3	{n=0}
-99609	大不列颠及北爱尔兰联	78100	99606	1	null
-99610	云蒸霞蔚	65536	104226	3	{i=0}
-99611	夜游症	65536	135539	3	{n=0}
-99612	大不列颠及北爱尔兰联合	70035	99609	1	null
-99613	大不了	65536	148391	3	{b=0, d=0, l=0}
-99614	大不列颠及北爱尔兰联合王	77346	99612	1	null
-99615	大不列颠及北爱尔兰联合王国	65536	99614	3	{ns=0}
-99616	大专学校	65536	99620	3	{j=0}
-99617	大专院校	65536	114720	3	{j=11}
-99618	劈头	65550	21128	2	{d=1}
-99619	大世界	65536	148400	3	{n=0}
-99620	大专学	72959	148397	1	null
-99621	大东区	65536	148406	3	{ns=0}
-99622	大个儿	65536	148420	3	{n=1}
-99623	大中城市	65536	102173	3	{j=37}
-99624	吃床腿	65536	124929	3	{l=0}
-99625	大中小企	79635	103262	1	null
-99626	二台	65578	20108	1	null
-99627	助理级	65536	114516	3	{b=1}
-99628	咬啮	65536	21676	3	{v=0}
-99629	大中小企业	65536	99625	3	{j=1, n=0}
-99630	大中小学生	65536	102798	3	{j=4, n=0}
-99631	决一	65548	20915	1	null
-99632	乡级	65536	20065	3	{b=1}
-99633	二号	65552	20108	1	null
-99634	刻不	65865	21051	1	null
-99635	大丰市	65536	148426	3	{ns=0}
-99636	名列榜	65545	133248	1	null
-99637	大主教	65536	148437	3	{n=3}
-99638	动物纤	65621	121925	1	null
-99639	大中学校	65536	103093	3	{j=1}
-99640	了若	65539	20102	1	null
-99641	售假	65536	21806	3	{v=0, vn=1}
-99642	喀嚓	65536	21888	3	{o=0}
-99643	外孙子	65536	143834	3	{n=0}
-99644	决不	67756	20915	2	{d=34}
-99645	众鸟蔽	65574	110257	1	null
-99646	大丽花	65536	148439	3	{n=0}
-99647	大义凛然	65536	99648	3	{i=0}
-99648	大义凛	70665	148451	1	null
-99649	大义灭亲	65536	107474	3	{i=0}
-99650	上楼	65536	19978	3	{v=1}
-99651	发射极	65536	131676	3	{n=0}
-99652	大书特	79583	148480	1	null
-99653	大书特书	65536	99652	3	{i=1}
-99654	大事录	65536	148517	3	{n=3}
-99655	势利	65815	21183	2	{a=0}
-99656	吕梁	70332	21525	2	{ns=29}
-99657	大二环	65536	148518	3	{ns=2}
-99658	大于号	65536	148520	3	{n=0}
-99659	商品化	65536	128893	3	{v=6, vd=0, vn=4}
-99660	大亚湾	65536	148532	3	{ns=47}
-99661	回归线	65536	134994	3	{n=0}
-99662	乡绅	65536	20065	3	{n=0}
-99663	大京九	65536	148550	3	{nz=1}
-99664	大人物	65536	148564	3	{n=1}
-99665	供暖	65536	20379	3	{v=3, vn=2}
-99666	大伙儿	65536	148659	3	{r=4}
-99667	大伯子	65536	148681	3	{n=0}
-99668	丹荔	65536	20025	3	{n=0}
-99669	大体上	65536	148717	3	{d=0}
-99670	大余县	65536	148723	3	{ns=0}
-99671	地下室	65536	136298	3	{n=3}
-99672	乘船	65536	20056	3	{v=1, vn=0}
-99673	吉林省	65536	120049	3	{ns=24}
-99674	大佛湾	65536	148725	3	{ns=0}
-99675	大众化	65536	148657	3	{v=0, vd=0, vn=0}
-99676	右卫	65536	21491	3	{n=0}
-99677	农业社	65536	111586	3	{n=0}
-99678	坯布	65536	22383	3	{n=0}
-99679	均势	65536	22343	3	{n=0}
-99680	准假	65536	20934	3	{v=0}
-99681	大作文章	65536	104350	3	{l=0}
-99682	大中专	65536	148423	3	{j=2}
-99683	大使级	65536	148761	3	{b=2, n=0}
-99684	大做文	68229	148980	1	null
-99685	大做文章	65536	99684	3	{i=1, l=0}
-99686	大儿子	65536	149209	3	{n=4}
-99687	大元帅	65536	149213	3	{n=0}
-99688	休火	65562	20241	1	null
-99689	大公无私	65536	105746	3	{i=0, l=1}
-99690	凄清	65536	20932	3	{a=0, an=0}
-99691	大兴土木	65536	100708	3	{i=0}
-99692	大兴安岭	65536	101838	3	{ns=2}
-99693	吉祥物	65536	124607	3	{n=4}
-99694	云梯	65536	20113	3	{n=1}
-99695	位能	65536	20301	3	{n=0}
-99696	大兵团	65536	149263	3	{n=1}
-99697	多角形	65536	155981	3	{n=0}
-99698	修养	65536	20462	3	{n=20, v=0}
-99699	大写字母	65536	99703	3	{n=0}
-99700	伸缩	65570	20280	2	{v=1, vn=0}
-99701	删繁	65734	21024	1	null
-99702	大农场	65536	149302	3	{n=4}
-99703	大写字	72102	149299	1	null
-99704	发射架	65536	131676	3	{n=0}
-99705	大冶市	65536	149328	3	{ns=0}
-99706	哭喊	65536	21741	3	{v=0}
-99707	侧根	65536	20391	3	{n=0}
-99708	历久	66890	21382	2	{v=2}
-99709	伏牛	65561	20239	2	{ns=1}
-99710	列入	65536	21015	3	{v=52}
-99711	大凉山	65536	149347	3	{ns=0}
-99712	大凌河	65536	149350	3	{ns=0}
-99713	大出风头	65536	104767	3	{l=2}
-99714	大刀阔斧	65536	104268	3	{i=8}
-99715	大分子	65536	149408	3	{n=0}
-99716	临深履薄	65536	89189	3	{i=0}
-99717	势单力薄	65536	88818	3	{l=1}
-99718	厚今薄	69825	105792	1	null
-99719	厚古薄	71132	107098	1	null
-99720	厚此薄	66861	113114	1	null
-99721	厚积薄	69849	116837	1	null
-99722	判断	67141	21028	2	{n=5, v=20, vn=4}
-99723	大别山	78423	149445	2	{ns=4}
-99724	外交大	65853	140581	1	null
-99725	原子序	65878	126179	1	null
-99726	列兵	65536	21015	3	{n=0}
-99727	光谱线	65536	126640	3	{n=0}
-99728	单人舞	65536	123842	3	{n=0}
-99729	大别山区	65536	99723	3	{ns=1}
-99730	大功告成	65536	99733	3	{i=0}
-99731	大力士	65536	149557	3	{n=0}
-99732	割捆	65889	21106	1	null
-99733	大功告	74626	149561	1	null
-99734	大动干	74640	149570	1	null
-99735	亮色	65536	20142	3	{n=2}
-99736	大动干戈	65536	99734	3	{i=0}
-99737	大势已去	65536	99815	3	{i=0}
-99738	大包大	74143	149663	1	null
-99739	伏特	65539	20239	2	{q=0}
-99740	大包大揽	65536	99738	3	{l=1}
-99741	历书	65536	21382	3	{n=0}
-99742	大北窑	65536	149681	3	{n=0}
-99743	大千世	69718	149725	1	null
-99744	均匀	65536	22343	3	{a=0, ad=0}
-99745	复合句	65536	133901	3	{n=0}
-99746	大千世界	65536	99743	3	{i=1}
-99747	大半天	65536	149732	3	{m=2}
-99748	仪节	65536	20202	3	{n=0}
-99749	发案率	65536	134816	3	{n=3}
-99750	儿童节	65536	98817	3	{t=0}
-99751	亮节	65536	20142	1	null
-99752	大卡/小	73651	65583	1	null
-99753	大卡/小时	65536	99752	3	{n=0}
-99754	厝火积薪	65536	96753	3	{i=0}
-99755	大卡／小	73654	130831	1	null
-99756	大卡／小时	65536	99755	3	{n=1}
-99757	大厂县	65536	149788	3	{ns=0}
-99758	响尾	65538	21709	1	null
-99759	大厦将	79220	149824	1	null
-99760	堪忧	65536	22570	3	{v=2}
-99761	众生	65550	20247	1	null
-99762	大厦将倾	65536	99759	3	{i=1}
-99763	坪坝	65536	22378	3	{n=1}
-99764	大口井	65536	149885	3	{n=0}
-99765	大叶桉	65536	149904	3	{n=0}
-99766	大吃一	74989	149917	1	null
-99767	大吃一惊	65536	99766	3	{i=1, l=0}
-99768	大吃大喝	65536	102621	3	{l=4}
-99769	势力	65536	21183	3	{n=47}
-99770	大合唱	65536	149922	3	{n=8}
-99771	共同纲	65540	103952	1	null
-99772	割据	65536	21106	3	{v=0, vn=0}
-99773	声势浩	75114	130113	1	null
-99774	大吉大	78743	149923	1	null
-99775	做一	65660	20570	1	null
-99776	大吉大利	65536	99774	3	{i=2}
-99777	产权	65544	20135	2	{n=56}
-99778	大同小异	65536	100188	3	{i=2}
-99779	大名县	65536	149927	3	{ns=2}
-99780	丛葬	65536	19995	3	{n=0}
-99781	凌源	65788	20940	2	{ns=0}
-99782	喀土	65537	21888	1	null
-99783	大吵大	65961	149967	1	null
-99784	坟地	65536	22367	3	{n=1}
-99785	大后天	65536	149928	3	{t=0}
-99786	周转粮	65536	136324	3	{n=0}
-99787	乙级	65536	20057	3	{b=0}
-99788	大吹大	73995	149971	1	null
-99789	大吹大擂	65536	99788	3	{i=0}
-99790	大呼小叫	65536	99870	3	{i=2}
-99791	东躲西藏	65536	100746	3	{i=0}
-99792	匿影藏	66032	92355	1	null
-99793	大呼拉尔	65536	101592	3	{n=0, nz=0}
-99794	假面舞	65536	123547	3	{n=0}
-99795	大咧咧	65536	150081	3	{z=0}
-99796	大哥大	65536	150143	3	{n=3}
-99797	大喊大	78315	150308	1	null
-99798	大喊大叫	65536	99797	3	{i=1}
-99799	大喜事	65536	150326	3	{n=0}
-99800	兰考	65536	20848	3	{ns=0}
-99801	大喜过望	65536	116499	3	{i=1}
-99802	免冠	65536	20813	3	{b=1}
-99803	做东	65560	20570	2	{v=0, vn=0}
-99804	大器晚	74702	150530	1	null
-99805	卢浮	67645	21346	1	null
-99806	大器晚成	65536	99804	3	{i=1}
-99807	大围山	65536	150670	3	{ns=0}
-99808	嘈杂	65536	22024	3	{a=2, an=0}
-99809	大前天	65536	149479	3	{t=0}
-99810	大块头	65536	150769	3	{n=0}
-99811	大团圆	65536	150652	3	{n=0, v=3}
-99812	丝瓜藤	65536	95842	3	{n=0}
-99813	儒艮	65536	20754	3	{n=0}
-99814	大型机	65536	150821	3	{n=0}
-99815	大势已	78302	149593	1	null
-99816	大城市	65536	150888	3	{n=0}
-99817	大堰河	65536	150986	3	{ns=0}
-99818	大声疾	78193	151178	1	null
-99819	判明	65536	21028	3	{v=0}
-99820	下影	65542	19979	1	null
-99821	大声疾呼	65536	99818	3	{i=1}
-99822	呆头	72606	21574	1	null
-99823	大处着	69300	151198	1	null
-99824	大处着眼	65536	99823	3	{i=0}
-99825	大处落墨	65536	103148	3	{i=0}
-99826	大多数	65536	151220	3	{m=49, n=0}
-99827	割接	65569	21106	1	null
-99828	境外	65536	22659	3	{s=24}
-99829	大大咧咧	65536	100048	3	{z=0}
-99830	大大小小	65536	101944	3	{z=8}
-99831	圈子	65536	22280	3	{n=1}
-99832	地形学	65536	140737	3	{n=0}
-99833	大大方方	65536	104418	3	{z=0}
-99834	做主	65536	20570	3	{v=0}
-99835	亲弟	65564	20146	1	null
-99836	大天白日	65536	99838	3	{l=0}
-99837	冻猪	65540	20923	1	null
-99838	大天白	73751	151235	1	null
-99839	乐歌	65536	20048	3	{n=0}
-99840	大失所	73446	151243	1	null
-99841	大失所望	65536	99840	3	{i=1}
-99842	包装盒	65536	127874	3	{n=0}
-99843	丧葬	65537	20007	2	{n=0}
-99844	大兴县	65536	149262	3	{ns=2}
-99845	大好河	76181	151319	1	null
-99846	大好河山	65536	99845	3	{i=1}
-99847	占上	65572	21344	1	null
-99848	四平市	65536	134103	3	{ns=1}
-99849	兔肉	65536	20820	3	{n=0}
-99850	喉塞	65549	21897	1	null
-99851	大姑娘	65536	151403	3	{n=1}
-99852	大姨子	65536	151426	3	{n=0}
-99853	合成橡	65571	131877	1	null
-99854	大字报	65536	151793	3	{n=0}
-99855	以苦为荣	65536	86267	3	{l=1}
-99856	大宁河	65536	151835	3	{ns=1}
-99857	勤快	65536	21220	3	{a=0}
-99858	大学堂	65536	151808	3	{n=0}
-99859	列出	65536	21015	3	{v=2}
-99860	大安山乡	65536	103469	3	{ns=2}
-99861	大宴宾	76410	151886	1	null
-99862	卵子	65536	21365	3	{n=0}
-99863	乐此	66045	20048	1	null
-99864	凤尾蘑	65536	93878	3	{n=0}
-99865	出版社	65536	130418	3	{n=121}
-99866	历代	65536	21382	3	{n=9}
-99867	典籍	65536	20856	3	{n=2}
-99868	大宴宾客	65536	99861	3	{l=0}
-99869	大安乡	65536	151843	3	{ns=1}
-99870	大呼小	78307	150038	1	null
-99871	大家伙儿	65536	99910	3	{r=0}
-99872	大家风范	65536	118779	3	{n=1}
-99873	大容山	65536	151891	3	{ns=0}
-99874	倚老	65627	20506	1	null
-99875	大将军	65536	151968	3	{n=0}
-99876	大小凉山	65536	100411	3	{j=2}
-99877	叔母	65536	21460	3	{n=0}
-99878	净月	65539	20928	1	null
-99879	大少爷	65536	151979	3	{n=0}
-99880	卵孢	67833	21365	1	null
-99881	大展经	67446	152047	1	null
-99882	咬噬	65536	21676	3	{v=0}
-99883	冤狱	65536	20900	3	{n=0}
-99884	大展经纶	65536	99881	3	{l=0}
-99885	农业税	65536	111586	3	{n=0}
-99886	坝体	65536	22365	3	{n=3}
-99887	图案色	65536	128997	3	{n=0}
-99888	大屠杀	65536	152058	3	{n=2}
-99889	大小便	65536	151977	3	{n=0, v=0}
-99890	历任	65536	21382	3	{v=6, vn=0}
-99891	大屿山	65536	152089	3	{ns=0}
-99892	大巧若	74588	152449	1	null
-99893	大巧若拙	65536	99892	3	{i=0}
-99894	动物群	65536	121925	3	{n=3}
-99895	原子弹	65536	126179	3	{n=2}
-99896	大巴山	65536	152462	3	{ns=1}
-99897	大师傅	65536	152482	3	{n=1}
-99898	大帽子	65536	152535	3	{l=0}
-99899	大幅让利	65536	111424	3	{l=1}
-99900	创作者	65536	105904	3	{n=5}
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-99902	大干一	77573	152588	1	null
-99903	大干一场	65536	99902	3	{i=0}
-99904	大年初一	65536	100051	3	{t=23}
-99905	圈定	65536	22280	3	{v=1}
-99906	大庆市	65536	152608	3	{ns=4}
-99907	大度包	76428	152640	1	null
-99908	分子结	65748	125596	1	null
-99909	大度包容	65536	99907	3	{i=0}
-99910	大家伙	79072	151888	1	null
-99911	大庭广	79666	152647	1	null
-99912	代总	65565	20195	1	null
-99913	大庭广众	65536	99911	3	{i=1}
-99914	做事	65536	20570	3	{v=5}
-99915	免刑	65536	20813	3	{v=0}
-99916	大开眼	69910	152730	1	null
-99917	哪家	65536	21738	3	{r=3}
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-99919	东南亚虎	65536	85868	3	{n=2}
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-99922	俘虏	65536	20440	3	{n=1, v=0}
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-99924	助桀为虐	65536	88794	3	{i=0}
-99925	军民联	65536	125549	1	null
-99926	剑齿虎	65536	110869	3	{n=0}
-99927	丰腴	65536	20016	3	{a=1}
-99928	准儿	65536	20934	3	{n=1}
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-99937	修剪	65536	20462	3	{v=0, vn=3}
-99938	大开眼界	65536	99916	3	{i=0}
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-99941	可可茶	65536	127916	3	{n=0}
-99942	乌江	65536	20044	3	{ns=0}
-99943	大张挞	79706	152762	1	null
-99944	乐段	65536	20048	3	{n=0}
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-99946	大张挞伐	65536	99943	3	{i=0}
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-99952	叩头虫	65536	94727	3	{n=0}
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-99957	喀城	65536	21888	3	{ns=1}
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-100102	剔红	65536	21076	3	{n=0}
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-100106	佛家	65536	20315	3	{nz=0}
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-100110	三热	65536	19977	1	null
-100111	大步流	73969	155903	1	null
-100112	大步流星	65536	100111	3	{i=1}
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-100115	乐池	65536	20048	3	{n=1}
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-100120	大江南北	65536	100119	3	{i=4, l=0}
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-100126	东北虎	65536	95289	3	{n=7}
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-100128	大河上	80148	156237	1	null
-100129	味同嚼蜡	65536	94232	3	{i=0}
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-100133	大法官	65536	156271	3	{n=3}
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-100135	乳牙	65536	20083	3	{n=0}
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-100143	大会党	65536	148660	3	{n=1}
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-100145	土著居	69014	147481	1	null
-100146	准则	65536	20934	3	{n=17}
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-100149	大海捞	65543	156433	1	null
-100150	大清白日	65536	104396	3	{l=0}
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-100152	大清早	65536	156575	3	{t=1}
-100153	大渡桥	72973	156603	1	null
-100154	大渡桥横铁索	76649	103626	1	null
-100155	大渡桥横铁索寒	65536	100154	3	{l=1, n=0}
-100156	大湖型	65536	156656	3	{b=1}
-100157	大灰狼	65536	157194	3	{n=4}
-100158	大煞风景	65536	104708	3	{i=1}
-100159	大片大	70910	157665	1	null
-100160	下情	65536	19979	3	{n=0}
-100161	增长期	65536	143399	3	{n=4}
-100162	东映	65536	19996	3	{nz=0}
-100163	大姑子	65536	151403	3	{n=0}
-100164	大熊座	65536	157476	3	{n=0}
-100165	大片大片	65536	100159	3	{z=2}
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-100167	三焦	65536	19977	3	{n=0}
-100168	大犬座	65536	157766	3	{n=0}
-100169	噤若寒蝉	65536	95442	3	{i=0}
-100170	大猩猩	65536	157891	3	{n=0}
-100171	大猫熊	65536	157893	3	{n=0}
-100172	坠子	65536	22368	3	{n=0}
-100173	大珠小	70512	158074	1	null
-100174	佛寺	65536	20315	3	{n=0}
-100175	处理场	65536	128942	3	{n=1}
-100176	大珠小珠	66324	100173	1	null
-100177	大珠小珠落	70601	100176	1	null
-100178	大珠小珠落玉	69756	100177	1	null
-100179	事故	65536	20107	3	{n=128}
-100180	大珠小珠落玉盘	65536	100178	3	{i=0}
-100181	大田作物	65536	100527	3	{l=0}
-100182	便了	65536	20415	3	{y=0}
-100183	大田庄乡	65536	104407	3	{ns=5}
-100184	大百科	79345	158744	1	null
-100185	大百科全	80116	100184	1	null
-100186	大百科全书	65536	100185	3	{n=14}
-100187	冒天	67777	20882	1	null
-100188	大同小	75456	149926	1	null
-100189	大理市	65536	158112	3	{ns=0}
-100190	便于	65536	20415	3	{v=13}
-100191	买者	65536	20080	3	{n=1}
-100192	大盖帽	65536	158832	3	{n=0}
-100193	大相径	75959	158866	1	null
-100194	大白天	65536	158743	3	{n=0}
-100195	冒失	65539	20882	2	{a=0}
-100196	大相径庭	65536	100193	3	{i=1}
-100197	大石牌	65536	159117	3	{nz=3}
-100198	冒头	65536	20882	3	{v=0}
-100199	大碗茶	65536	159281	3	{n=0}
-100200	伊斯	65639	20234	1	null
-100201	勇夺	65536	21191	3	{v=1}
-100202	呈子	65536	21576	3	{n=0}
-100203	大秋作	70915	159589	1	null
-100204	大秋作物	65536	100203	3	{l=0}
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-100207	卧床	71133	21351	2	{v=0, vn=0}
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-100210	伊方	65536	20234	3	{n=6}
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-100214	凸纹	65536	20984	3	{n=1}
-100215	大河乡	65536	156237	3	{ns=20}
-100216	大笑不	72727	159915	1	null
-100217	大笑不止	65536	100216	3	{l=1}
-100218	卧底	65536	21351	3	{v=0}
-100219	大米粥	65536	160269	3	{n=0}
-100220	变幻莫	65610	125062	1	null
-100221	大粪球	65536	160324	3	{n=1}
-100222	乌海	65566	20044	2	{ns=0}
-100223	大红大紫	65536	102964	3	{i=0}
-100224	众目	65554	20247	1	null
-100225	大老婆	65536	161179	3	{n=0}
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-100229	大肠杆菌	65536	100228	3	{l=0}
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-100232	大脖子	70086	161456	1	null
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-100237	乐融融	65536	107072	3	{z=4}
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-100254	大街小巷	65536	100253	3	{i=18}
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-100268	办到	65536	21150	3	{v=3}
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-100434	三思而后行	65536	87059	3	{i=2, n=0}
-100435	不虚此行	65536	93037	3	{i=1}
-100436	世界银行	65536	104058	3	{n=0}
-100437	中国人民银行	65536	103674	3	{n=0}
-100438	中国银行	65536	103967	3	{nt=17}
-100439	东莱街	65536	107731	3	{ns=0}
-100440	东顺城街	65536	88016	3	{ns=0}
-100441	七星街	65536	91779	3	{ns=0}
-100442	中小银行	65536	103838	3	{j=0}
-100443	中英街	65536	118725	3	{ns=0}
-100444	俄央行	65536	91428	3	{j=0}
-100445	丁字街	65536	88998	3	{n=0}
-100446	亏蚀	65536	20111	3	{v=0}
-100447	上海街	65536	100669	3	{ns=0}
-100448	借水行	65538	110209	1	null
-100449	不稳平衡	65536	89726	3	{l=0}
-100450	八廓街	65536	109511	3	{ns=0}
-100451	一衣	65538	19968	1	null
-100452	其身正不令则行	65536	87706	3	{i=0}
-100453	不无小补	65536	89123	3	{i=0}
-100454	于事无补	65536	91652	3	{i=0}
-100455	亡羊补	65536	98215	1	null
-100456	一表	65539	19968	1	null
-100457	万用表	65536	95644	3	{n=0}
-100458	为人师表	65536	89625	3	{i=0}
-100459	乘法表	65536	94196	3	{n=0}
-100460	人大代表	65536	86174	3	{n=22}
-100461	人民代表	65536	87293	3	{n=1}
-100462	体恤衫	65536	109634	3	{n=0}
-100463	体检表	65536	111774	3	{n=0}
-100464	久演不衰	65536	85994	3	{l=2}
-100465	体温表	65536	113159	3	{n=0}
-100466	便宜行	66563	103532	1	null
-100467	一览表	65536	100808	3	{n=0}
-100468	众矢	66258	20247	1	null
-100469	修修补补	65536	100476	3	{v=1}
-100470	修桥补	65550	105564	1	null
-100471	全权代表	65536	87555	3	{l=0}
-100472	健步	65573	20581	2	{d=1, n=0}
-100473	依此	65541	20381	1	null
-100474	公使衔	65536	116304	3	{n=0}
-100475	伤神	65536	20260	3	{a=0}
-100476	修修补	65552	99301	1	null
-100477	兼容并蓄	65536	89919	3	{i=1}
-100478	军大衣	65536	120707	3	{n=2}
-100479	农发行	65536	113049	3	{j=6}
-100480	切实可行	65536	88221	3	{l=8}
-100481	冻疮	65536	20923	3	{n=0}
-100482	刊误表	65536	107093	3	{n=0}
-100483	利率表	65536	118558	3	{n=0}
-100484	功课表	65536	122182	3	{n=0}
-100485	专程	65536	19987	3	{d=25}
-100486	兰花	65546	20848	2	{n=1}
-100487	动平衡	65536	116815	3	{n=0}
-100488	动态平衡	65536	90324	3	{n=3}
-100489	势在必行	65536	90333	3	{i=10}
-100490	勘误表	65536	102816	3	{n=0}
-100491	前胸袋	65536	132965	3	{n=1}
-100492	云母	65539	20113	2	{n=0}
-100493	千里之行	66552	90507	2	{i=1}
-100494	单词表	65536	139477	3	{n=0}
-100495	南营门街	65536	103983	3	{ns=0}
-100496	反其道而行	71822	98488	1	null
-100497	卡萨芒	65807	125248	1	null
-100498	取长补	65549	131972	1	null
-100499	三牲	65536	19977	3	{n=0}
-100500	保护消	65545	112241	1	null
-100501	变动表	65536	122035	3	{n=0}
-100502	再就	67756	20877	1	null
-100503	唐人街	65536	103228	3	{ns=5}
-100504	唐宁街	65536	106499	3	{ns=1}
-100505	嘉言懿行	65536	95418	3	{i=0}
-100506	圆领衫	65536	140907	3	{n=0}
-100507	凄然	65536	20932	2	{z=1}
-100508	倘若	65536	20504	3	{c=7}
-100509	口腔科	65536	135149	3	{n=0}
-100510	地温表	65536	144520	3	{n=0}
-100511	剑眉	65536	21073	3	{n=0}
-100512	割晒	65892	21106	1	null
-100513	坐位表	65536	126070	3	{n=0}
-100514	午时	65536	21320	3	{t=0}
-100515	乌溜	65538	20044	1	null
-100516	坚持不渝	65536	97328	3	{i=1}
-100517	信息网	65536	111589	3	{n=3}
-100518	值日表	65536	92175	3	{n=1}
-100519	坤表	65536	22372	3	{n=0}
-100520	卵巢	65536	21365	3	{n=0}
-100521	基金委	65536	142670	3	{j=1}
-100522	基地带	65536	127661	3	{n=0}
-100523	丝绵被	65536	98427	3	{n=0}
-100524	价目表	65536	97356	3	{n=1}
-100525	填平补	65547	106690	1	null
-100526	大不列	65571	148391	1	null
-100527	大田作	70892	158410	1	null
-100528	仁至	66170	20161	1	null
-100529	大出血	65536	149396	3	{v=1, vn=0}
-100530	夜游神	65536	135539	3	{n=0}
-100531	天使力	65536	148623	3	{nz=0}
-100532	多义性	65536	140740	3	{n=0}
-100533	大礼堂	65536	159446	3	{n=2}
-100534	大藏相	65536	162665	3	{n=1}
-100535	大阪府	65536	166852	3	{ns=0}
-100536	乐清	65569	20048	2	{ns=0}
-100537	专稿	65536	19987	3	{n=2}
-100538	天元战	65536	149075	3	{n=10}
-100539	堂堂皇	67351	110190	1	null
-100540	估价表	65536	87299	3	{n=0}
-100541	哈尼族	65536	116687	3	{nz=5, z=1}
-100542	刻写	65536	21051	3	{v=0}
-100543	大藏省	65536	162665	3	{nt=49}
-100544	天兵天	76997	149125	1	null
-100545	别出心裁	65536	90247	3	{i=4}
-100546	五内俱裂	65536	86125	3	{l=0}
-100547	响当	70264	21709	1	null
-100548	四分五裂	65536	95797	3	{i=0}
-100549	不懂装	65536	107603	1	null
-100550	下手	65536	19979	3	{n=1, s=0, v=1}
-100551	包背装	65536	125833	3	{n=0}
-100552	型式	65536	22411	3	{n=1}
-100553	呆小	65571	21574	1	null
-100554	外包装	65536	141702	3	{n=1}
-100555	天兵天将	65536	100544	3	{l=0}
-100556	天冬草	65536	149180	3	{n=1}
-100557	天南地北	65536	100575	3	{i=0}
-100558	天南海北	65536	106278	3	{i=1}
-100559	刊物	65536	21002	3	{n=18}
-100560	伊朗	65536	20234	3	{ns=105}
-100561	大都会	65536	165527	3	{n=0}
-100562	天台乌	66917	149760	1	null
-100563	云气	65536	20113	3	{n=0}
-100564	天台乌药	65536	100562	3	{l=0}
-100565	光前裕	65918	111820	1	null
-100566	共同富裕	65636	90837	1	null
-100567	几比	65536	20960	3	{j=0}
-100568	天各一	74528	149780	1	null
-100569	天各一方	65536	100568	3	{i=0}
-100570	天地会	65536	150592	3	{n=0}
-100571	天坍地	65878	150621	1	null
-100572	坦克师	65536	102702	3	{n=0}
-100573	天塌地	65881	150876	1	null
-100574	伴舞	65536	20276	3	{v=0, vn=5}
-100575	天南地	79286	149607	1	null
-100576	哭声	65536	21741	3	{n=0}
-100577	伪科	65637	20266	1	null
-100578	天壤之	79544	151028	1	null
-100579	天壤之别	65536	100578	3	{i=1}
-100580	健美裤	65536	105633	3	{n=0}
-100581	内衣裤	65536	132353	3	{j=0}
-100582	励精	66530	21169	1	null
-100583	侨联	65536	20392	3	{j=2}
-100584	中山装	65536	108869	3	{n=1}
-100585	天士力	65536	151035	3	{nz=0}
-100586	天外有	77764	151078	1	null
-100587	响彻	74555	21709	2	{v=2}
-100588	三角裤	65536	106483	3	{n=0}
-100589	天外有天	65536	100586	3	{i=0}
-100590	天女散	67134	151171	1	null
-100591	天女散花	65536	100590	3	{i=3}
-100592	勾搭	65536	21246	3	{v=0}
-100593	东柏	65537	19996	1	null
-100594	伞衣	65536	20254	3	{n=0}
-100595	云水	65540	20113	1	null
-100596	天姿国	67203	151311	1	null
-100597	天姿国色	65536	100596	3	{i=0}
-100598	亲戚	65536	20146	3	{n=18}
-100599	君权	65536	21531	3	{n=0}
-100600	天寒地	79679	151778	1	null
-100601	喝彩	72527	21917	2	{v=2, vn=7}
-100602	天寒地冻	65536	100600	3	{i=7}
-100603	天山南	79334	151937	1	null
-100604	不无裨	65536	108657	1	null
-100605	天山南北	65536	100603	3	{l=4}
-100606	办厂	65536	21150	3	{v=1, vn=0}
-100607	天崩地	65600	152121	1	null
-100608	售后	68587	21806	1	null
-100609	吞吐	65609	21534	2	{v=0, vn=5}
-100610	天崩地裂	65536	100607	3	{i=0}
-100611	井底蛙	65536	92079	3	{n=0}
-100612	佯装	65536	20335	3	{v=0}
-100613	天差地	65724	152318	1	null
-100614	天平秤	65536	152451	3	{n=0}
-100615	上流	65536	19978	3	{b=0, n=0}
-100616	冰封雪裹	65536	104172	3	{i=0}
-100617	佐藤	65536	20304	3	{nr=0}
-100618	凭栏	65536	20973	3	{d=1}
-100619	天底下	65536	152485	3	{s=0}
-100620	上浆	65536	19978	3	{v=0}
-100621	两节	65536	20004	3	{j=10}
-100622	天府之	78357	152492	1	null
-100623	吞吞	72495	21534	1	null
-100624	北京猿	68745	122205	1	null
-100625	大有人	77740	154787	1	null
-100626	天府之国	65536	100622	3	{i=0}
-100627	天怒人	76013	152866	1	null
-100628	乔装	65539	20052	1	null
-100629	天怒人怨	65536	100627	3	{i=0}
-100630	天文学家	65536	102688	3	{n=11}
-100631	决策者	65536	111237	3	{n=7}
-100632	天文数字	65536	105258	3	{l=3}
-100633	哭天	72992	21741	1	null
-100634	天方夜	65712	154313	1	null
-100635	天旋地	65845	154331	1	null
-100636	天时地	79604	154374	1	null
-100637	天时地利	65536	100636	3	{l=0}
-100638	兰草	65536	20848	3	{n=0}
-100639	叹气	65536	21497	3	{v=1}
-100640	大张旗	65544	152762	1	null
-100641	天昏地	74379	154399	1	null
-100642	天昏地暗	65536	100641	3	{i=0}
-100643	天星村	65536	154415	3	{ns=0}
-100644	健民	65536	20581	3	{nz=0}
-100645	刻刀	65536	21051	3	{n=0}
-100646	天晓得	65536	154467	3	{l=0}
-100647	亲手	65536	20146	3	{d=11}
-100648	喷薄而	74330	130344	1	null
-100649	决出	65536	20915	3	{v=0}
-100650	天有一算	65536	100651	3	{i=0}
-100651	天有一	69011	154649	1	null
-100652	天主教堂	65536	104391	3	{n=0}
-100653	凄风苦	65544	110643	1	null
-100654	坍方	65536	22349	3	{v=1}
-100655	天有不测	65597	100664	1	null
-100656	堤岸	65536	22564	3	{n=0}
-100657	天有不测风云	65536	104715	3	{i=1, n=0}
-100658	天水市	65536	155972	3	{ns=1}
-100659	天渊之	79631	156442	1	null
-100660	上浮	65536	19978	3	{v=0}
-100661	天涯地	65641	156351	1	null
-100662	天津市	65536	156213	3	{n=1, ns=33}
-100663	刻划	65536	21051	3	{v=0}
-100664	天有不	72676	154649	1	null
-100665	两用衫	65536	97203	3	{n=0}
-100666	天渊之别	65536	100659	3	{i=0}
-100667	天灵盖	65536	157061	3	{n=0}
-100668	勒索	65536	21202	3	{v=4, vn=1}
-100669	上海	65544	19978	2	{ns=466, nz=0}
-100670	丑表	65560	19985	1	null
-100671	凛若	67174	20955	1	null
-100672	天灾人	69579	157070	1	null
-100673	勒紧	65536	21202	3	{v=1}
-100674	何来	65536	20309	3	{v=0}
-100675	天灾人祸	65536	100672	3	{i=1}
-100676	天然免疫	65536	101960	3	{l=0}
-100677	占先	65536	21344	3	{v=0}
-100678	天燃气	65536	157395	3	{n=0}
-100679	复合型	65536	133901	3	{b=1, n=1}
-100680	事机	65536	20107	3	{n=0}
-100681	佳期	65536	20339	3	{t=0}
-100682	天狗螺	65536	157671	3	{n=0}
-100683	军代表	65536	118079	3	{n=0}
-100684	嘴把	71090	22068	1	null
-100685	办发	65536	21150	3	{j=0}
-100686	天狼星	65536	157708	3	{n=0}
-100687	大同市	65536	149926	3	{ns=7}
-100688	伊林	65536	20234	3	{nz=0}
-100689	事权	65536	20107	3	{n=4}
-100690	佳木	65544	20339	1	null
-100691	大红大绿	65536	102964	3	{l=0}
-100692	休闲装	65536	109295	3	{n=0}
-100693	天王星	65536	157851	3	{n=0}
-100694	天球仪	65536	157971	3	{n=0}
-100695	天理教	65536	157974	3	{n=0}
-100696	天琴座	65536	158020	3	{n=0}
-100697	天生我材	76183	105774	1	null
-100698	天生丽	65700	158255	1	null
-100699	刻制	65536	21051	3	{v=0}
-100700	天生我材必	74324	100697	1	null
-100701	天生我材必有	70711	100700	1	null
-100702	喧扰	65536	21927	3	{v=0}
-100703	天生我材必有用	65536	100701	3	{i=0}
-100704	天疱疮	65536	158401	3	{n=0}
-100705	天目溪	65536	158718	3	{ns=0}
-100706	天真无	65555	158767	1	null
-100707	下拨	65536	19979	3	{v=1, vn=0}
-100708	大兴土	73283	149262	1	null
-100709	天真烂漫	65536	103492	3	{i=1}
-100710	天秤座	65536	159476	3	{n=0}
-100711	串行	65536	20018	3	{b=0}
-100712	亚文	65548	20122	1	null
-100713	天竺葵	65536	159754	3	{n=0}
-100714	仲裁	66228	20210	2	{v=0, vn=1}
-100715	天经地	80675	160735	1	null
-100716	天经地义	65536	100715	3	{i=2}
-100717	刑期	65536	21009	3	{n=0}
-100718	上涨	65536	19978	2	{v=34, vn=7}
-100719	代换	65536	20195	3	{v=0}
-100720	大惊小	75367	153188	1	null
-100721	侨胞	65536	20392	3	{n=21}
-100722	天气图	65536	155940	3	{n=0}
-100723	天网恢	76050	160865	1	null
-100724	天网恢恢	65536	100723	3	{i=0, l=0}
-100725	天罗地	68133	160871	1	null
-100726	天罗地网	65536	100725	3	{i=1}
-100727	初级线	66002	127024	1	null
-100728	天翻地	65563	161035	1	null
-100729	乘虚	65572	20056	1	null
-100730	天老儿	65536	161041	3	{n=0}
-100731	天花乱坠	65536	100770	3	{i=0}
-100732	型心	65536	22411	3	{n=0}
-100733	吃不消	65536	120708	3	{l=0}
-100734	乐滋	65536	20048	1	null
-100735	东中西	65541	94031	1	null
-100736	东倒西	65541	94516	1	null
-100737	不必要	65536	107094	3	{a=0, v=1}
-100738	东奔西	65538	96886	1	null
-100739	东张西	65537	98370	1	null
-100740	东拉西	65536	99307	1	null
-100741	东拼西	65537	99358	1	null
-100742	东挪西	65536	99404	1	null
-100743	东方不亮西	65539	85871	1	null
-100744	东藏西	65536	108273	1	null
-100745	东跑西	65537	110323	1	null
-100746	东躲西	65536	110548	1	null
-100747	东邻西	65536	111069	1	null
-100748	东风压倒西	65544	86036	1	null
-100749	东鳞西	65537	114176	1	null
-100750	中和西	65850	106848	1	null
-100751	全军覆	65536	112973	1	null
-100752	其它	65536	20854	3	{r=85}
-100753	击中要	65829	96767	1	null
-100754	前车之覆	65536	88662	3	{l=1}
-100755	南科西	68960	134277	1	null
-100756	印度尼西	71018	95169	1	null
-100757	史瓦西	65536	115281	3	{nz=0}
-100758	儿艺	65536	20799	3	{j=0}
-100759	中华街	65536	106530	3	{ns=1}
-100760	各奔东西	65536	93006	3	{l=0}
-100761	印度尼西亚盾	65536	91140	3	{n=2}
-100762	呋喃西	67676	94193	1	null
-100763	圣卢西	76572	130316	1	null
-100764	圣多美和普林西	69174	96777	1	null
-100765	候补	65546	20505	2	{b=2}
-100766	坏东西	65536	99333	3	{n=1}
-100767	声东击西	65536	97936	3	{i=0}
-100768	大案要	73398	155106	1	null
-100769	天翻地覆	65536	100728	3	{i=1}
-100770	天花乱	78363	161729	1	null
-100771	天荒地老	65536	100926	3	{i=0}
-100772	天蓝色	65536	162285	3	{n=0}
-100773	天蚕蛾	65536	162725	3	{n=0}
-100774	下挫	65536	19979	3	{v=7, vn=0}
-100775	天蝎座	65536	162910	3	{n=0}
-100776	天衣无	68239	163187	1	null
-100777	决不能	65536	99644	3	{v=15}
-100778	天文台	65536	154263	3	{n=1}
-100779	其实	67719	20854	2	{c=1, d=81}
-100780	天衣无缝	65536	100776	3	{i=0}
-100781	天诛地	72002	164075	1	null
-100782	吞咽	65536	21534	3	{v=0}
-100783	天诛地灭	65536	100781	3	{i=0}
-100784	天象仪	65536	164209	3	{n=0}
-100785	天赋人	74351	164443	1	null
-100786	天赋人权	65536	100785	3	{l=0}
-100787	大有作	80028	154787	1	null
-100788	凤眼	65536	20964	1	null
-100789	天赐良	74366	164448	1	null
-100790	删节	66790	21024	2	{v=1, vn=0}
-100791	出资者	65536	137326	3	{n=1}
-100792	天赐良机	65536	100789	3	{l=1}
-100793	做出	65536	20570	3	{v=124}
-100794	天造地	65832	165168	1	null
-100795	天道酬勤	65536	102766	3	{l=1}
-100796	天长地久	65536	100968	3	{i=0}
-100797	天长日久	65536	104733	3	{i=1}
-100798	切尔西	65536	109353	3	{ns=1, nz=0}
-100799	咱村	65536	21681	3	{r=2}
-100800	光阴荏	65536	129203	1	null
-100801	一见	65537	19968	1	null
-100802	一孔之见	65536	85582	3	{i=1}
-100803	一得之见	65536	85586	3	{i=1}
-100804	一定之规	65536	85583	3	{i=0}
-100805	一隅之见	65536	85596	3	{i=0}
-100806	一视	65539	19968	1	null
-100807	不容乐观	65536	85760	3	{l=6}
-100808	一览	65547	19968	2	{n=1}
-100809	一般见	65536	98860	1	null
-100810	丁字规	65536	88998	3	{n=0}
-100811	不容忽视	65536	90285	3	{l=10}
-100812	不知不觉	65536	85801	3	{i=7}
-100813	两脚规	65536	100261	3	{n=0}
-100814	中央电视	65553	96142	1	null
-100815	主体观	65536	104166	3	{n=0}
-100816	三环	65539	19977	2	{ns=0}
-100817	主客观	65536	107317	3	{j=0, n=1}
-100818	一角	65536	19968	3	{n=13}
-100819	义利观	65536	91285	3	{n=0}
-100820	书生之见	65536	86071	3	{i=0}
-100821	临界角	65536	100875	3	{n=0}
-100822	二面角	65536	116892	3	{n=0}
-100823	仁者见	66049	100034	1	null
-100824	以小见	65609	106700	1	null
-100825	低头不见	65536	86514	1	null
-100826	低头不见抬头见	65536	88442	3	{l=1, n=0}
-100827	佛得角	65769	101099	2	{ns=3}
-100828	作壁上观	65536	86625	3	{i=0}
-100829	依稀可见	65536	87225	3	{l=0}
-100830	侧目而视	65536	98385	3	{i=0}
-100831	人生观	65536	119078	3	{n=7}
-100832	先知先觉	65536	87420	3	{i=0}
-100833	兵戈相见	65536	96035	3	{l=0}
-100834	兵戎相见	65536	96037	3	{i=1}
-100835	一知半解	65536	86862	3	{i=0}
-100836	不求甚解	65536	95515	3	{i=0}
-100837	亟待解	65539	90005	1	null
-100838	一触	65537	19968	1	null
-100839	中国人民解	65540	93203	1	null
-100840	内斜视	65536	123450	3	{n=0}
-100841	丝衣	65536	19997	3	{n=0}
-100842	依法	65536	20381	3	{d=178, v=0, vn=0}
-100843	内错角	65536	135607	3	{n=0}
-100844	冰消瓦解	65536	95466	3	{i=0}
-100845	冷眼旁观	65536	91594	3	{i=0}
-100846	凤毛麟角	65536	106143	3	{i=1}
-100847	做到	65536	20570	3	{v=114}
-100848	分化瓦解	65536	95467	3	{i=0}
-100849	分线规	65536	134667	3	{n=0}
-100850	傲视	65536	20658	3	{v=0}
-100851	倾斜角	65536	97310	3	{n=0}
-100852	切削角	65536	106847	3	{n=0}
-100853	上港	65546	19978	1	null
-100854	刑释解	65580	111640	1	null
-100855	依波	65537	20381	1	null
-100856	初具规	65538	115456	1	null
-100857	初露头角	65536	88578	3	{l=0}
-100858	侍者	65536	20365	3	{n=0}
-100859	勾心斗角	65536	91799	3	{i=1}
-100860	卓有远见	65536	102584	3	{l=0}
-100861	卡纳维拉尔角	65536	91095	3	{ns=4}
-100862	上游	65536	19978	3	{f=14, s=3}
-100863	厚薄规	65536	119802	3	{n=0}
-100864	一言	65634	19968	1	null
-100865	一般而言	65536	98324	3	{l=0}
-100866	万语千言	65536	86873	3	{i=0}
-100867	不善言	65537	104469	1	null
-100868	不苟言	65538	116080	1	null
-100869	人微言	65540	113589	1	null
-100870	一针见	65536	103560	1	null
-100871	仗义执言	65536	90728	3	{i=1}
-100872	你一言	65559	87307	2	{i=0}
-100873	元语言	65536	120122	3	{n=0}
-100874	共同语言	65536	103158	3	{n=2}
-100875	临界	65539	20020	2	{b=0}
-100876	口出狂言	65536	94920	3	{l=0}
-100877	只见树木不见	65912	92773	1	null
-100878	三班	65537	19977	1	null
-100879	勋章	65536	21195	3	{n=8}
-100880	司空见	68115	116826	1	null
-100881	叹为观	65578	92997	1	null
-100882	各抒己见	65536	93087	3	{i=3}
-100883	各持己见	65536	93088	3	{i=0}
-100884	名正言	65597	139724	1	null
-100885	后掠角	65536	136137	3	{n=0}
-100886	君不见	65536	94145	3	{i=0, l=1}
-100887	创建者	65536	109902	3	{n=1}
-100888	吹糠见	65539	118230	1	null
-100889	哑口无言	65536	94673	3	{i=0}
-100890	动脉血	65536	125669	3	{n=0}
-100891	专管	65537	19987	1	null
-100892	上湖	65547	19978	1	null
-100893	唯心史观	65536	96454	3	{l=0}
-100894	唯物史观	65536	96462	3	{j=0, l=3}
-100895	唱主角	65536	106660	3	{v=0}
-100896	呵欠	65536	21621	3	{n=0}
-100897	喜闻乐见	65536	95275	3	{i=9}
-100898	丝袜	65536	19997	3	{n=0}
-100899	为虎	65651	20026	1	null
-100900	因式分解	65536	96175	3	{n=0}
-100901	人才观	65536	114260	3	{n=0}
-100902	固执己见	65536	96317	3	{i=0}
-100903	入射角	65536	114211	3	{n=0}
-100904	圆心角	65536	126376	3	{n=0}
-100905	中心角	65536	109719	3	{n=0}
-100906	发芽率	65536	141589	3	{n=1}
-100907	售货摊	65536	115225	3	{n=0}
-100908	土崩瓦解	65536	96571	3	{i=0}
-100909	坐井观	74434	125886	1	null
-100910	埃斯特角	65536	97541	3	{ns=0}
-100911	墨守成规	65536	97886	3	{i=4}
-100912	墨守陈规	65536	111254	3	{i=0}
-100913	外祖父	65536	151511	3	{n=0}
-100914	外错角	65536	158618	3	{n=0}
-100915	处女地	65536	122139	3	{n=1}
-100916	匀称	65536	21248	3	{a=0}
-100917	大势所	65596	149593	1	null
-100918	云海	65536	20113	3	{n=0}
-100919	划一	68259	21010	2	{v=0}
-100920	大局观	65536	152026	3	{n=1}
-100921	卯眼	65536	21359	3	{n=0}
-100922	大惑不解	65536	99987	3	{i=0}
-100923	天涯地角	65536	100661	3	{i=0}
-100924	原生矿	65578	132786	1	null
-100925	天涯海角	65536	106364	3	{i=3, nz=1}
-100926	天荒地	68002	161890	1	null
-100927	佯言	65536	20335	3	{v=0}
-100928	天青石	65536	167010	3	{n=0}
-100929	天香国	67536	167593	1	null
-100930	天香国色	65536	100929	3	{i=0}
-100931	吃得消	65536	125198	3	{l=0}
-100932	划不	65789	21010	1	null
-100933	天马行	69583	167804	1	null
-100934	势在	65816	21183	1	null
-100935	云消	65537	20113	1	null
-100936	冒尖	65602	20882	2	{v=3}
-100937	天马行空	65536	100933	3	{i=0}
-100938	天高地厚	65536	103042	3	{i=0}
-100939	天高气爽	65536	108390	3	{i=0}
-100940	大马哈	65551	167942	1	null
-100941	天高任	65553	167912	1	null
-100942	匪盗	65536	21290	3	{n=0}
-100943	天鹰座	65536	168832	3	{n=0}
-100944	太上皇	65536	115756	3	{n=0}
-100945	太上老君	65536	103370	3	{l=0}
-100946	天鹅洲	65536	168789	3	{ns=0}
-100947	太仓一粟	65536	100949	3	{i=0}
-100948	太子参	65536	119154	3	{n=0}
-100949	太仓一	69044	115957	1	null
-100950	兜肚	65536	20828	3	{n=0}
-100951	太岳区	65536	119509	3	{ns=33}
-100952	太师椅	65536	119850	3	{n=2}
-100953	太平天国	65536	103273	3	{n=0, nz=0}
-100954	太原市	65536	117185	3	{ns=17}
-100955	地面站	65536	155073	3	{n=1}
-100956	太平无事	65536	106528	3	{l=0}
-100957	太平盛世	65536	110875	3	{i=0}
-100958	做功	65536	20570	3	{n=0}
-100959	太平龙头	65536	121305	3	{l=0}
-100960	太康县	65536	120025	3	{ns=0}
-100961	太白山	65536	126111	3	{ns=0}
-100962	太行山	79663	130670	2	{ns=11}
-100963	太湖县	65536	124024	3	{ns=0}
-100964	七言	65536	19971	1	null
-100965	势均	67672	21183	1	null
-100966	太谷县	65536	131673	3	{ns=0}
-100967	太极剑	65536	122275	3	{n=0}
-100968	天长地	80759	166543	1	null
-100969	太行山区	65536	100962	3	{ns=4}
-100970	太阳电池	65536	120763	3	{l=0}
-100971	剧中	68519	21095	2	{n=9}
-100972	太阳黑子	65536	131415	3	{l=0}
-100973	太阴历	65536	134230	3	{n=0}
-100974	夫唱妇	65870	104807	1	null
-100975	夫妻店	65536	105969	3	{n=0}
-100976	天主堂	65536	148299	3	{n=0}
-100977	同位角	65536	129604	3	{n=0}
-100978	夫子庙	65536	106374	3	{ns=2}
-100979	夫荣妻	65697	116633	1	null
-100980	夫贵妻	67348	119147	1	null
-100981	上溯	65536	19978	3	{v=0}
-100982	不得要	65536	107048	1	null
-100983	夫贵妻荣	65536	100980	3	{l=0}
-100984	天荒坪	65536	161890	3	{ns=0}
-100985	央吉玛	65536	101065	3	{nr=100}
-100986	失之交	67771	138558	1	null
-100987	夭亡	65536	22829	3	{v=0}
-100988	千里眼	65536	131830	3	{n=0}
-100989	失之交臂	65536	100986	3	{i=0}
-100990	夯实	65536	22831	3	{v=7}
-100991	古文献	65536	132003	3	{n=0}
-100992	太空人	65536	127132	3	{n=0}
-100993	太古界	65536	117254	3	{n=0}
-100994	失之空洞	65536	112208	3	{l=1}
-100995	失眠病	65536	149011	3	{n=1}
-100996	失而复	76527	151295	1	null
-100997	失眠症	65536	149011	3	{n=0}
-100998	失而复得	65536	100996	3	{i=1}
-100999	失职罪	65536	151359	3	{n=0}
-101000	失聪者	65536	151389	3	{n=2}
-101001	享有盛誉	65536	95965	3	{l=0}
-101002	失落感	65536	152368	3	{n=0}
-101003	大气压	65536	156078	3	{n=0}
-101004	乳疾	65537	20083	1	null
-101005	交口称誉	65536	96883	3	{i=0}
-101006	失语症	65536	154336	3	{n=0}
-101007	令行	65537	20196	1	null
-101008	初来者	65536	121070	3	{n=1}
-101009	失败者	65536	154648	3	{n=2}
-101010	失道寡	79850	155462	1	null
-101011	失道寡助	65536	101010	3	{i=0}
-101012	失魂落	65537	158261	1	null
-101013	刻印	65536	21051	3	{v=1}
-101014	头头是	65649	135661	1	null
-101015	和平新	73609	120371	1	null
-101016	头头脑脑	65536	107896	3	{n=1}
-101017	头昏眼花	65536	101018	3	{i=0}
-101018	头昏眼	67560	138952	1	null
-101019	头晕目	70519	139022	1	null
-101020	头发屑	65536	134282	3	{n=0}
-101021	大中华	65536	148423	3	{nz=0}
-101022	头昏脑涨	65536	103535	3	{l=1}
-101023	代理行	65536	104979	3	{n=1}
-101024	头晕目眩	65536	101019	3	{i=1, l=0}
-101025	头晕眼花	65536	101097	3	{i=0}
-101026	头状花	76820	142191	1	null
-101027	头状花序	65536	101026	3	{l=0}
-101028	东南角	65536	95353	3	{f=1, s=0}
-101029	头痛脑	72121	142996	1	null
-101030	头痛脑热	65536	101029	3	{i=0}
-101031	地震学	65536	154982	3	{n=0}
-101032	丑角	65536	19985	3	{n=1}
-101033	八角茴	65536	120518	1	null
-101034	卫星	68857	21355	2	{n=60}
-101035	头皮屑	65536	143207	3	{n=0}
-101036	哪怕	65536	21738	3	{c=6}
-101037	头破血	73069	143597	1	null
-101038	头破血流	65536	101037	3	{i=0}
-101039	头等功	65536	144386	3	{n=0}
-101040	头角峥	77147	148107	1	null
-101041	十字线	65536	116740	3	{n=1}
-101042	侵蚀	65536	20405	3	{v=3, vn=4}
-101043	头角峥嵘	65536	101040	3	{i=0}
-101044	合格率	65536	133457	3	{n=15}
-101045	头重脚	65868	150150	1	null
-101046	头面人	71758	151579	1	null
-101047	头面人物	65536	101046	3	{i=1}
-101048	头高头	80748	152465	1	null
-101049	商标纸	65536	133827	3	{n=0}
-101050	头高头低	65536	101048	3	{l=0}
-101051	夷为	76873	22839	1	null
-101052	夷为平	78734	101051	1	null
-101053	历历	70353	21382	2	{d=1}
-101054	夷为平地	65536	101052	3	{l=3}
-101055	夸大其	65844	106106	1	null
-101056	友军	65536	21451	3	{n=3}
-101057	下摆	65536	19979	3	{n=0, v=0}
-101058	塌实	65536	22604	3	{a=0}
-101059	夸夸其	65760	106123	1	null
-101060	夸张性	65536	107635	3	{n=0}
-101061	夸海口	65536	111306	3	{l=0}
-101062	夸父追日	65536	102600	3	{i=0}
-101063	夹七夹	80221	119363	1	null
-101064	夹七夹八	65536	101063	3	{i=0}
-101065	央吉	71390	22830	1	null
-101066	呆帐	65536	21574	3	{n=0}
-101067	夹丝玻	71241	119389	1	null
-101068	夹丝玻璃	65536	101067	3	{n=0}
-101069	便函	65536	20415	3	{n=0}
-101070	夹克衫	65536	120203	3	{n=0}
-101071	供气	65536	20379	3	{v=3, vn=2}
-101072	夹壁墙	65536	122113	3	{n=0}
-101073	夹层墙	65536	123010	3	{n=0}
-101074	夹层玻璃	65536	108019	3	{n=0}
-101075	夹山寺	65536	123057	3	{ns=0}
-101076	土地改	65579	135922	1	null
-101077	夹心糖	65536	123907	3	{n=0}
-101078	夹板气	65536	125887	3	{n=0}
-101079	夹竹桃	65536	130873	3	{n=0}
-101080	夹道欢	65798	136339	1	null
-101081	夹金山	65536	136721	3	{n=0}
-101082	上演	65536	19978	2	{v=22, vn=1}
-101083	夺眶而	80098	115104	1	null
-101084	夺眶而出	65536	101083	3	{i=2}
-101085	奄奄	81118	22852	2	{z=0}
-101086	奄奄一	76400	101085	1	null
-101087	奄奄一息	65536	101086	3	{i=1}
-101088	奇功伟	81096	129910	1	null
-101089	包装箱	65536	127874	3	{n=0}
-101090	奇功伟业	65536	101088	3	{l=0}
-101091	奇士谋臣	65536	101609	3	{n=1}
-101092	奇山异	73395	132424	1	null
-101093	大包干	65536	149663	3	{l=3}
-101094	乌烟	65536	20044	1	null
-101095	奇山异水	65536	101092	3	{i=1}
-101096	奇形怪	71732	133177	1	null
-101097	头晕眼	67568	139022	1	null
-101098	奇形怪状	65536	101096	3	{i=0}
-101099	佛得	65545	20315	1	null
-101100	奇文共	65674	134750	1	null
-101101	奇珍异	77651	138404	1	null
-101102	劈开	65536	21128	3	{v=0}
-101103	供水	65559	20379	2	{v=10, vn=7}
-101104	奇珍异宝	65536	101101	3	{i=0}
-101105	奇耻大	65828	141586	1	null
-101106	奇花异	79787	142216	1	null
-101107	奇装异	74728	143772	1	null
-101108	奇花异卉	65536	101106	3	{n=0}
-101109	奇装异服	65536	101107	3	{i=1}
-101110	奇谈怪	65841	144607	1	null
-101111	云游	65536	20113	3	{v=1}
-101112	击弦	65786	20987	1	null
-101113	便利	65536	20415	3	{a=8, an=7, v=2, vn=4}
-101114	囊括	65536	22218	3	{v=2}
-101115	奇货可	77495	144894	1	null
-101116	奇货可居	65536	101115	3	{i=0}
-101117	供求	65536	20379	3	{n=44, vn=0}
-101118	奇蹄目	65536	145179	3	{n=0}
-101119	奈卜特	77455	102167	1	null
-101120	奈卜特山	65536	101119	3	{ns=0}
-101121	奉为圭	67865	108577	1	null
-101122	充气	65701	20805	2	{v=1, vn=1}
-101123	卤水	65536	21348	3	{n=0}
-101124	不可言	65537	104064	1	null
-101125	奉为圭臬	65536	101121	3	{i=0}
-101126	奉公守	73272	109395	1	null
-101127	人造行	65549	125991	1	null
-101128	互联	65537	20114	2	{v=2, vn=0}
-101129	坟山	65536	22367	3	{n=0}
-101130	央告	65536	22830	3	{v=0}
-101131	再度	65536	20877	3	{d=28}
-101132	互聘	65536	20114	3	{v=1, vn=0}
-101133	奉公守法	65536	101126	3	{i=1}
-101134	奉化市	65536	109821	3	{ns=0}
-101135	奉命唯	65734	110180	1	null
-101136	奈何	65536	22856	3	{v=3}
-101137	奉节县	65536	121961	3	{ns=0}
-101138	决口	65536	20915	3	{v=0}
-101139	奉若神	75015	122060	1	null
-101140	大后年	65536	149928	3	{t=0}
-101141	奉若神明	65536	101139	3	{i=1}
-101142	列国	65536	21015	3	{n=1}
-101143	军事科	65856	117991	1	null
-101144	天然丝	65536	157254	3	{n=0}
-101145	喷油泵	65536	123997	3	{n=0}
-101146	价值观	65536	87450	3	{n=44}
-101147	奉辛比	80338	125314	1	null
-101148	价值规	65566	87450	1	null
-101149	奉辛比克	80324	101147	1	null
-101150	奉辛比克党	65536	101149	3	{n=0, nz=2}
-101151	叉腰	65536	21449	3	{v=1}
-101152	奋勇争	80345	103312	1	null
-101153	奋勇争先	65536	101152	3	{v=1}
-101154	奋勇当先	65536	105450	3	{i=0}
-101155	奋发向上	65536	102715	3	{l=5}
-101156	卧房	65536	21351	3	{n=0}
-101157	奋发图强	65536	103464	3	{i=3}
-101158	奋发有为	65536	107571	3	{i=0, l=1}
-101159	奋发自救	65536	114452	3	{l=1}
-101160	奋发进取	65536	118021	3	{l=2}
-101161	历史	71521	21382	2	{a=1, n=682}
-101162	奋斗以	76061	108128	1	null
-101163	国防报	65536	153105	3	{n=1}
-101164	大前年	65536	149479	3	{t=1}
-101165	奋斗以成	65536	101162	3	{i=0}
-101166	划价	65536	21010	3	{v=1}
-101167	大写意	65536	149299	3	{n=1}
-101168	奋笔疾	81100	113629	1	null
-101169	优点	65536	20248	3	{n=9}
-101170	奋笔疾书	65536	101168	3	{l=0}
-101171	兵不血	66685	106219	1	null
-101172	奋发上	65790	103578	1	null
-101173	奋翅展	68410	114830	1	null
-101174	奋翅展翼	65536	101173	3	{l=1}
-101175	产油	65554	20135	1	null
-101176	奋起拼搏	65536	101177	3	{i=0}
-101177	奋起拼	75561	118336	1	null
-101178	奎文区	65536	105541	3	{ns=0}
-101179	奏鸣曲	65536	123256	3	{n=1}
-101180	六旬	65536	20845	3	{m=2}
-101181	奔波如	74385	115836	1	null
-101182	奔波如梭	65536	101181	3	{i=1}
-101183	奔走呼	79690	124170	1	null
-101184	三生	65536	19977	1	null
-101185	奔走呼号	65536	101183	3	{i=1}
-101186	奔走相告	65536	110011	3	{i=3}
-101187	代收	65536	20195	3	{v=0}
-101188	奕奕	65536	22869	3	{z=0}
-101189	前所未见	65536	92300	3	{l=0}
-101190	世界观	65536	97124	3	{n=14}
-101191	垄断	65980	22404	2	{v=18, vd=4, vn=15}
-101192	下操	65536	19979	3	{v=0}
-101193	奖优罚	80039	106728	1	null
-101194	奖优罚劣	65536	101193	3	{l=1}
-101195	乳白	65541	20083	2	{b=0}
-101196	奖勤罚	76156	107700	1	null
-101197	俄罗	65545	20420	1	null
-101198	奖勤罚懒	65536	101196	3	{l=0}
-101199	举荐	65536	20030	3	{v=0, vn=0}
-101200	奖罚分	75075	119082	1	null
-101201	奖罚分明	65536	101200	3	{l=0}
-101202	净水	65536	20928	3	{n=0}
-101203	套交情	65536	122197	3	{l=0}
-101204	套印本	65536	123425	3	{n=0}
-101205	人权观	65536	115530	3	{n=0}
-101206	套头衫	65536	124901	3	{n=0}
-101207	套色版	65536	135459	3	{n=0}
-101208	咬定	65536	21676	3	{v=0}
-101209	占卜	65536	21344	3	{v=2}
-101210	套话连篇	65536	102627	3	{i=1}
-101211	划伤	65536	21010	3	{v=3}
-101212	套近乎	65536	138882	3	{l=0}
-101213	吞噬	65792	21534	2	{v=4}
-101214	奚落	65536	22874	3	{v=0}
-101215	亚松	65538	20122	1	null
-101216	奠基人	65536	101220	3	{n=5}
-101217	奢侈	79521	22882	2	{a=2, an=1}
-101218	奢侈品	65536	101217	3	{n=3}
-101219	占卦	65536	21344	3	{vn=1}
-101220	奠基	81062	22880	2	{v=2, vn=0}
-101221	勤政	66083	21220	2	{n=10}
-101222	失业率	65536	138509	3	{n=14}
-101223	不名誉	65536	104094	3	{a=0}
-101224	国民性	65536	142320	3	{n=1}
-101225	奥什州	65536	107759	3	{ns=0}
-101226	奥克兰港	65536	101227	3	{ns=0}
-101227	奥克兰	73019	108410	2	{ns=0}
-101228	以一警	65553	103101	1	null
-101229	乘务警	65536	87488	3	{n=0}
-101230	奥勒松	77166	108801	1	null
-101231	六星	65658	20845	1	null
-101232	奥勒松市	65536	101230	3	{ns=0}
-101233	奥地利	65536	109919	3	{ns=54}
-101234	奥委会	65536	110595	3	{j=29}
-101235	天下兴	80267	148251	1	null
-101236	供油	65536	20379	2	{v=2}
-101237	奥斯卡奖	65536	101628	3	{nz=0}
-101238	天鹅湖	65536	168789	3	{ns=4}
-101239	奥斯曼帝	78971	106647	1	null
-101240	奥斯曼帝国	65536	101239	3	{ns=3}
-101241	利益观	65536	119393	3	{n=0}
-101242	奥林匹	80433	114118	1	null
-101243	奈良县	65536	114218	3	{ns=0}
-101244	奥林匹克	74798	101242	2	{nz=11}
-101245	代数	65636	20195	2	{n=0}
-101246	商业城	65536	127190	3	{n=1}
-101247	奥林匹克村	65536	101244	3	{n=2}
-101248	奥运会	65536	124415	3	{j=75}
-101249	地震局	65536	154982	3	{n=13}
-101250	奥迪牌	65536	124441	3	{nz=0}
-101251	奥里萨	65639	124923	1	null
-101252	天门冬	65536	166648	3	{n=0}
-101253	临盆	65536	20020	3	{v=0}
-101254	奥里诺科	73433	103253	1	null
-101255	大渡河	65536	156603	3	{n=2, ns=4}
-101256	今生	66044	20170	2	{t=1}
-101257	充沛	65536	20805	3	{a=4}
-101258	仪表	65567	20202	2	{n=2}
-101259	三番	65630	19977	1	null
-101260	奥里诺科河	65536	101254	3	{ns=0}
-101261	女中丈夫	65536	101264	3	{i=0}
-101262	女主人	65536	139358	3	{n=4}
-101263	准噶	65711	20934	1	null
-101264	女中丈	78434	139344	1	null
-101265	女人家	65536	139485	3	{n=0}
-101266	女作家	65536	139647	3	{n=11}
-101267	女公子	65536	140175	3	{n=0}
-101268	女子组	65536	142707	3	{n=1}
-101269	女孩子	65536	142732	3	{n=4, v=0}
-101270	女强人	65536	143709	3	{n=1}
-101271	女性化	65536	143946	3	{v=0}
-101272	女招待	65536	144638	3	{n=0}
-101273	女朋友	65536	145710	3	{n=0}
-101274	剧作	65878	21095	2	{n=6}
-101275	刚体	65536	21018	3	{n=0}
-101276	女神像	65536	150401	3	{n=1}
-101277	女童班	65536	150792	3	{n=0}
-101278	奴才相	65536	107001	3	{n=0}
-101279	乖觉	65536	20054	3	{a=0}
-101280	奴隶制度	65536	102670	3	{l=0}
-101281	一年之计	65536	85589	1	null
-101282	万全之计	65536	85603	3	{i=0}
-101283	从长计	65540	120394	1	null
-101284	伏特计	65536	99739	3	{n=0}
-101285	光度计	65536	114981	3	{n=0}
-101286	六亲不认	65536	87637	3	{i=0}
-101287	兼权熟计	65536	94623	3	{i=0}
-101288	千方百计	65536	95905	3	{i=29}
-101289	互不相让	65536	95997	3	{l=1}
-101290	体温计	65536	113159	3	{n=0}
-101291	压强计	65536	116473	3	{n=0}
-101292	专题讨	65544	108306	1	null
-101293	不足为训	65536	85827	3	{i=0}
-101294	不可思议	65536	90401	3	{i=5}
-101295	中国人民政治协商会议	65536	85916	3	{n=0}
-101296	中央书记	65537	86207	1	null
-101297	从军记	65536	103014	3	{n=4}
-101298	从长计议	65536	101283	3	{i=1}
-101299	供认不讳	65536	86657	3	{l=0}
-101300	倡议	67235	20513	2	{n=7, v=9, vn=5}
-101301	党委书记	65536	87531	3	{n=23}
-101302	刍议	65536	21005	3	{v=0, vn=0}
-101303	五年计	65536	108584	1	null
-101304	些许	65536	20123	3	{m=4}
-101305	下放	65536	19979	3	{v=10, vn=2}
-101306	一概而论	65536	98322	3	{i=4}
-101307	一元论	65536	86339	3	{n=0}
-101308	万能论	65536	98673	3	{n=1}
-101309	三段论	65536	98774	2	{n=0}
-101310	下结论	65536	107854	3	{v=0}
-101311	下诹访	65543	111220	1	null
-101312	不可知论	65536	96489	3	{l=0}
-101313	不易之论	65536	85775	3	{i=0}
-101314	专题讨论	65536	101292	3	{l=0}
-101315	世界广论	65536	90115	3	{n=1}
-101316	争斤论	66083	94509	1	null
-101317	争长论	65539	106760	1	null
-101318	一般见识	65536	100809	3	{i=0}
-101319	下意识	65536	100234	3	{d=1, n=1, v=0}
-101320	二元论	65536	98941	3	{n=0}
-101321	产权证	65536	99777	3	{n=1}
-101322	人性论	65536	113710	3	{n=0}
-101323	以讹传讹	65536	86270	3	{i=0}
-101324	似曾相识	65536	96014	3	{i=1}
-101325	一面之词	65536	85597	3	{i=0}
-101326	不定冠词	65536	86485	3	{n=0}
-101327	也许	65536	20063	3	{d=67}
-101328	代名词	65536	96794	3	{n=0}
-101329	借古讽	66666	103985	1	null
-101330	义正词	65995	97743	1	null
-101331	众口一词	65536	86329	3	{i=0, l=2}
-101332	先验论	65536	126304	3	{n=0}
-101333	一试	65538	19968	1	null
-101334	免验证	65536	118470	3	{n=0}
-101335	七言诗	65536	100964	3	{n=0}
-101336	五言诗	65536	119732	3	{n=0}
-101337	全唐诗	65536	113858	3	{n=1}
-101338	人心悦诚	65542	90944	1	null
-101339	不教而诛	65536	98335	3	{i=0}
-101340	主题词	65536	122923	3	{n=0}
-101341	一番话	65536	95594	3	{n=2}
-101342	下流话	65536	103356	3	{n=0}
-101343	不像话	65536	103264	3	{a=0}
-101344	人机会话	65536	86188	3	{l=0}
-101345	云谲波诡	65536	93412	3	{i=0}
-101346	人机对话	65536	89483	3	{l=0}
-101347	一席话	65536	89645	3	{n=3}
-101348	传为佳话	65536	86311	3	{i=4}
-101349	传呼电话	65536	95725	3	{n=1}
-101350	俏皮话	65536	97135	3	{n=1}
-101351	不厌其详	65536	86404	3	{i=0}
-101352	公用电话	67476	97516	2	{n=1}
-101353	六言诗	65536	110416	3	{n=0}
-101354	像话	65536	20687	3	{v=0}
-101355	优待证	65536	96765	3	{n=1}
-101356	公文袋	65536	121944	3	{n=0}
-101357	一语	65539	19968	1	null
-101358	三言两语	65536	85641	3	{i=1}
-101359	一误	65538	19968	1	null
-101360	一言不语	65536	85615	3	{l=0}
-101361	一误再误	65536	86415	3	{i=0}
-101362	不可同日而语	65536	98330	3	{i=0}
-101363	不言不语	65536	85825	3	{i=0}
-101364	一般地说	65536	87864	3	{l=0}
-101365	一般来说	65536	92013	3	{l=0}
-101366	一般的说	65536	95884	3	{l=0}
-101367	不容分说	65536	86710	3	{i=0}
-101368	不情之请	65536	85765	3	{i=0}
-101369	不用说	65536	112569	3	{l=0, v=1}
-101370	一诺	65542	19968	1	null
-101371	不由分说	65536	86539	3	{i=0}
-101372	一般说	65537	98860	1	null
-101373	一呼百诺	65536	95872	3	{i=0}
-101374	且不说	65536	85854	3	{c=2}
-101375	中篇小说	65536	89110	3	{l=1, n=3}
-101376	为民请	65540	94182	1	null
-101377	举例来说	65536	92018	3	{l=0}
-101378	下文	65536	19979	3	{n=0, v=0}
-101379	一平二调	65536	85648	3	{l=0}
-101380	也就是说	65536	91701	3	{l=10}
-101381	习用语	65536	97080	3	{n=0}
-101382	书面语	65536	122567	3	{n=0}
-101383	二话不说	65536	86110	3	{i=0}
-101384	不尚空谈	65536	96897	3	{l=3}
-101385	不经之谈	65536	85815	3	{i=0}
-101386	二话没说	65536	93938	3	{l=2}
-101387	与虎谋	65536	100250	1	null
-101388	亚塞诺	65537	97343	1	null
-101389	亚赛诺	65538	110908	1	null
-101390	以权谋	65542	109568	1	null
-101391	伊万诺	65611	94144	1	null
-101392	众口难调	65536	104951	3	{i=0}
-101393	中心论	65536	109719	3	{n=2}
-101394	传为美谈	65536	98626	3	{i=0}
-101395	你一言我一语	65536	86639	3	{l=1, n=0}
-101396	侃侃而谈	65536	98384	3	{i=1}
-101397	会员证	65536	106420	3	{n=2}
-101398	侈谈	65536	20360	3	{n=0, v=2}
-101399	侦探小说	65536	89122	3	{l=0}
-101400	促膝交谈	65536	86675	3	{i=1, l=1}
-101401	促膝长谈	65536	104814	3	{i=0}
-101402	俗话说	65565	103653	2	{l=7}
-101403	亲政	65536	20146	3	{v=0}
-101404	克拉斯诺	67354	92475	1	null
-101405	休眠	65668	20241	2	{v=0, vn=1}
-101406	共同富裕论	65536	100566	3	{n=1}
-101407	兵不厌诈	65536	87679	3	{i=0}
-101408	修饰语	65536	118119	3	{n=0}
-101409	争名谋	65784	90006	1	null
-101410	具体地说	65536	88901	3	{c=1}
-101411	乱石	65554	20081	2	{n=1}
-101412	中心词	65536	109719	3	{n=0}
-101413	内在论	65536	119750	3	{n=0}
-101414	内查外调	65536	88526	3	{l=0}
-101415	任满	65536	20219	3	{v=0}
-101416	再者说	65536	109674	3	{c=1}
-101417	冷嘲热讽	65536	94450	3	{i=1}
-101418	冷言冷语	65536	88045	3	{i=0}
-101419	准宾语	65536	102615	3	{n=0}
-101420	准确无误	65536	91770	3	{l=0}
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-101440	助动词	65536	105974	3	{n=0}
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-101740	信用证	65536	116894	3	{n=0}
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-101742	千钧重负	65536	106903	3	{i=0}
-101743	半决赛	65536	121545	3	{n=10, vn=0}
-101744	不胫而走	65536	98340	3	{i=3}
-101745	世界语	65536	97124	3	{n=0}
-101746	东奔西走	65536	100738	3	{i=2}
-101747	借书证	65536	102579	3	{n=0}
-101748	修好	65536	20462	3	{v=3}
-101749	全力以赴	65536	87524	3	{i=7}
-101750	你追我赶	65536	90671	3	{l=1}
-101751	一起	65536	19968	3	{d=52, s=173}
-101752	一病不起	65536	85558	3	{i=0}
-101753	一哄而起	65536	98317	3	{i=4}
-101754	一跃而起	65536	98323	3	{l=1}
-101755	万丈高楼平地起	65536	87859	3	{i=0}
-101756	东山再起	65536	86681	3	{i=0}
-101757	买不起	65536	87399	3	{v=1}
-101758	仰卧起	65536	88634	1	null
-101759	卧床不起	65536	91114	3	{l=0}
-101760	以身试	65541	119656	1	null
-101761	东江	65544	19996	2	{ns=0}
-101762	卖国贼	65536	111798	3	{n=0}
-101763	下月	65536	19979	3	{t=2}
-101764	了不起	65536	86112	3	{a=7}
-101765	一超	65536	19968	3	{j=2}
-101766	原装货	65536	137816	3	{n=1}
-101767	发大财	65536	130943	3	{v=1}
-101768	劣等货	65536	102279	3	{n=0}
-101769	六根	65542	20845	1	null
-101770	不可逾越	65536	102722	3	{i=4}
-101771	亦步亦趋	65536	86156	3	{i=0}
-101772	发横财	65536	135298	3	{l=1}
-101773	伊比	65577	20234	1	null
-101774	变天账	65536	123700	3	{n=0}
-101775	吃喝嫖赌	65536	92954	3	{l=0}
-101776	充溢	65536	20805	3	{v=1}
-101777	伙计	65536	20249	3	{n=1}
-101778	各负其责	65536	93103	3	{l=5}
-101779	吉卜赛	65536	114870	3	{n=0}
-101780	名义工资	65536	93668	3	{l=0}
-101781	名声鹊起	65536	111398	3	{i=0}
-101782	原始积	65539	125790	1	null
-101783	后院起	65570	149131	1	null
-101784	含冤负	70426	107134	1	null
-101785	呆坏账	65536	99337	3	{j=3}
-101786	下期	65536	19979	3	{n=1}
-101787	乒乓球赛	65536	95237	3	{n=2}
-101788	啧啧称赞	65536	103503	3	{l=3}
-101789	供不起	65536	93384	3	{l=0}
-101790	云烟	65536	20113	3	{n=1, nz=0}
-101791	佛手	65538	20315	2	{n=1}
-101792	喧声四起	65536	95297	3	{i=0}
-101793	围棋赛	65536	128620	3	{n=6}
-101794	写意	65536	20889	3	{n=4, v=0}
-101795	万贯	65538	19975	2	{m=0}
-101796	了无生趣	65536	95535	3	{i=0}
-101797	低级趣	65595	117903	1	null
-101798	别有情趣	65536	90532	3	{l=0}
-101799	医疗费	65536	114863	3	{n=3}
-101800	围魏救赵	65536	96301	3	{i=0}
-101801	噩耗	65536	22121	3	{n=0}
-101802	国家经贸	73408	117028	1	null
-101803	图法赫	65536	130162	3	{ns=2}
-101804	体操赛	65536	110763	3	{n=0}
-101805	坐地分赃	65536	97278	3	{i=0}
-101806	坐观成败	65536	97286	3	{i=0}
-101807	勇往	65594	21191	1	null
-101808	住院费	65536	107596	3	{n=0}
-101809	出口税	65536	122637	3	{n=0}
-101810	和平棋	65536	120371	3	{n=0}
-101811	一失足	65538	88369	1	null
-101812	一手一足	65536	85531	3	{i=0}
-101813	下机	65536	19979	3	{v=1}
-101814	不一而足	65536	98328	3	{i=4}
-101815	丰衣足	65537	101702	1	null
-101816	丰裕	65536	20016	3	{a=3, an=0}
-101817	举手投足	65536	90773	3	{i=0}
-101818	亲如手足	65536	91477	3	{i=0}
-101819	先天不足	65536	87500	3	{i=2}
-101820	千里之行始于足	69562	89540	1	null
-101821	品头论足	65536	101527	3	{i=1}
-101822	基本工资	65536	101952	3	{l=0}
-101823	使用费	65536	102698	3	{n=2}
-101824	四脚朝	73026	142974	1	null
-101825	声势显赫	65536	97938	3	{l=0}
-101826	墨西哥州	65536	97894	3	{ns=0}
-101827	一跃	65543	19968	1	null
-101828	声名鹊起	65536	109032	3	{i=0}
-101829	单刀赴	70361	124680	1	null
-101830	外经外贸	65536	99212	3	{j=0}
-101831	大势所趋	65536	100917	3	{i=7}
-101832	哥俩	65536	21733	3	{n=4}
-101833	大奖赛	65536	151280	3	{n=9}
-101834	大眼贼	65536	158934	3	{n=0}
-101835	专横跋	65536	96420	1	null
-101836	天生丽质	65536	100698	3	{i=2}
-101837	大作家	65536	148726	3	{n=0}
-101838	大兴安	75967	149262	1	null
-101839	充满	65536	20805	3	{v=115}
-101840	劫波	65536	21163	3	{n=1}
-101841	南北纬	65536	124363	3	{n=0}
-101842	大年夜	65536	152590	3	{t=3}
-101843	东奔西跑	65536	100738	3	{i=0}
-101844	半自给	65536	133888	3	{v=0}
-101845	东河	65536	19996	1	null
-101846	夫荣妻贵	65536	100979	3	{i=0}
-101847	大会堂	65536	148660	3	{n=64}
-101848	印刷版	65536	113385	3	{n=0}
-101849	奇文共赏	65536	101100	3	{i=0}
-101850	天气学	65536	155940	3	{n=0}
-101851	奢侈浪费	65536	107531	3	{l=16}
-101852	凉丝	68067	20937	1	null
-101853	呆愣	69314	21574	1	null
-101854	奥兰吉	65601	108447	1	null
-101855	吐哈	65536	21520	3	{ns=2}
-101856	下来	65536	19979	3	{v=115}
-101857	凝聚	66944	20957	2	{v=36, vn=1}
-101858	信贷资	65563	123053	1	null
-101859	嘉陵江	65536	125305	3	{ns=2}
-101860	兽药	66343	20861	1	null
-101861	女篮赛	65536	151057	3	{j=0}
-101862	壬丑	65536	22764	3	{m=0}
-101863	亲朋	65538	20146	2	{n=3}
-101864	包装纸	65536	127874	3	{n=0}
-101865	女足赛	65536	155606	3	{j=3}
-101866	奴颜婢	68438	120904	1	null
-101867	匪穴	65536	21290	3	{n=0}
-101868	专署	65536	19987	3	{n=2}
-101869	别无良	65544	111527	1	null
-101870	参加者	65536	112761	3	{n=1}
-101871	一路	65541	19968	2	{d=0, m=21, n=0}
-101872	万宝路	65536	89105	3	{nz=0}
-101873	三岔路	65539	94901	2	{ns=0}
-101874	三环路	65536	100816	3	{ns=0}
-101875	三级跳	65536	103624	2	{n=0}
-101876	上坡路	65536	95015	3	{n=0}
-101877	下坡路	65536	97756	3	{l=0, n=0}
-101878	东环路	65536	103633	3	{n=1}
-101879	东耶路	65537	106840	1	null
-101880	东风路	65536	113136	3	{ns=1}
-101881	丝绸之路	65536	85880	3	{l=4}
-101882	中长跑	65536	123475	3	{n=0}
-101883	二环路	65536	107753	3	{ns=0}
-101884	五一路	65536	104372	3	{ns=3}
-101885	修桥补路	65536	100470	3	{i=0}
-101886	人行路	65536	123987	3	{n=0}
-101887	乞讨	65536	20062	3	{v=0, vn=0}
-101888	东海路	65536	102041	3	{ns=0}
-101889	五四路	65536	106639	3	{ns=2}
-101890	乖谬	65536	20054	3	{a=0}
-101891	俾路	65539	20478	1	null
-101892	光复路	65536	113548	3	{ns=0}
-101893	内电路	65536	127443	3	{n=0}
-101894	中长距	65538	123475	1	null
-101895	冤枉路	65536	96963	3	{n=0}
-101896	别无出路	65536	89464	3	{l=0}
-101897	兆赫	65536	20806	3	{q=0}
-101898	交响诗	65536	104887	3	{n=1}
-101899	劣种	65536	21155	3	{n=0}
-101900	人生路	65536	119078	3	{n=2}
-101901	剧减	65536	21095	3	{v=0}
-101902	主干路	65536	108037	3	{n=1}
-101903	单线铁路	65536	103620	3	{n=1}
-101904	单轨铁路	65536	103621	3	{n=0}
-101905	冠军赛	65536	93232	3	{n=0}
-101906	中山路	65536	108869	3	{ns=2}
-101907	南京东路	65536	90911	3	{ns=9}
-101908	围场路	65536	124123	3	{n=1}
-101909	中介费	65536	105375	3	{n=3}
-101910	塞浦路	71786	120233	1	null
-101911	填方路	75331	108552	1	null
-101912	勋绩	65536	21195	3	{n=0}
-101913	堵塞	65536	22581	3	{v=16, vn=5}
-101914	哄抢	65536	21700	3	{v=3}
-101915	坝址	65536	22365	3	{n=0}
-101916	坚贞不渝	65536	97332	3	{i=1}
-101917	佛拉	65552	20315	1	null
-101918	外电路	65536	150454	3	{n=0}
-101919	夕阳西	79121	114727	1	null
-101920	准备	65583	20934	2	{d=1, n=1, v=143, vd=0, vn=68}
-101921	大桥路	65536	155135	3	{ns=0}
-101922	奴颜媚	65560	120904	1	null
-101923	刨花	65780	21032	2	{n=0}
-101924	哄抬	65536	21700	3	{v=3}
-101925	击打	65536	20987	3	{v=0, vn=0}
-101926	好处费	65536	144575	3	{n=2}
-101927	好好坏坏	65536	103505	3	{z=0}
-101928	国产棉	65536	134790	3	{n=0}
-101929	均安	65642	22343	1	null
-101930	合众社	65536	127020	3	{n=0}
-101931	好家伙	65536	145265	3	{e=0}
-101932	京白	65536	20140	3	{n=0}
-101933	东洋	65536	19996	2	{n=5, nz=0}
-101934	好容易	65536	145268	3	{d=0}
-101935	大公国	65536	149254	3	{n=0}
-101936	好心不得	79029	101937	1	null
-101937	好心不	77465	146302	1	null
-101938	好心不得好	76686	101936	1	null
-101939	好心不得好报	65536	101938	3	{i=1, n=0}
-101940	变电站	65536	130880	3	{n=6}
-101941	养路费	65536	119726	3	{n=0}
-101942	伏笔	65536	20239	3	{n=0}
-101943	好意思	65536	146634	3	{v=1}
-101944	大大小	76263	151233	1	null
-101945	劈手	65536	21128	3	{d=0}
-101946	匮缺	65536	21294	3	{v=1}
-101947	好戏连台	65536	102674	3	{l=2}
-101948	争芳	65542	20105	1	null
-101949	划分	65536	21010	3	{v=17, vn=5}
-101950	好整以	75707	147759	1	null
-101951	坚定性	65536	115210	3	{n=11}
-101952	基本工	65658	131753	1	null
-101953	好好儿	65536	144696	3	{z=0}
-101954	好整以暇	65536	101950	3	{i=0}
-101955	好日子	65536	147872	3	{n=5}
-101956	到任	65536	21040	3	{v=2}
-101957	好景不	65600	148010	1	null
-101958	大有可	80029	154787	1	null
-101959	命乖运蹇	65536	102452	3	{i=0}
-101960	天然免	70553	157254	1	null
-101961	保健费	65536	107570	3	{n=0}
-101962	好好先	71677	144696	1	null
-101963	依然	65561	20381	2	{d=94, z=0}
-101964	吸水纸	65536	112341	3	{n=0}
-101965	准头	65536	20934	3	{n=0}
-101966	好望角	65536	148182	3	{n=1}
-101967	坚韧性	65536	130647	3	{n=0}
-101968	中国货	65536	107473	3	{n=0}
-101969	地方主	76991	142360	1	null
-101970	好来宝	65536	148256	3	{n=0}
-101971	好样儿	71632	148466	1	null
-101972	好样儿的	65536	101971	3	{n=0}
-101973	好榜样	65536	148823	3	{n=1}
-101974	好玩儿	65536	151396	3	{a=0}
-101975	好生生	65536	151770	3	{z=0}
-101976	好男儿	65536	151794	3	{n=0}
-101977	好端端	65536	153258	3	{z=0}
-101978	好胜心	65536	154775	3	{n=0}
-101979	好莱坞	65536	155500	3	{ns=7}
-101980	好说歹	66155	157615	1	null
-101981	原子束	65536	126179	3	{n=0}
-101982	刀光血	65539	106197	1	null
-101983	好说歹说	65536	101980	3	{i=1, l=0}
-101984	好说话儿	65536	110272	3	{l=0}
-101985	好逸恶	80818	158707	1	null
-101986	刚刚	65536	21018	3	{d=109}
-101987	到会	65660	21040	2	{v=7, vn=0}
-101988	世行	65536	19990	3	{j=5}
-101989	好逸恶劳	65536	101985	3	{i=1}
-101990	如上所	65835	134335	1	null
-101991	发送站	65536	144985	3	{n=0}
-101992	如东县	65536	134353	3	{ns=0}
-101993	如丧考	79047	134364	1	null
-101994	如丧考妣	65536	101993	3	{i=0}
-101995	塑料套	65536	104727	3	{n=1}
-101996	凉亭	65536	20937	3	{n=0}
-101997	好人主	81604	141941	1	null
-101998	坦坦荡	65544	104265	1	null
-101999	大马士	65607	167942	1	null
-102000	如临其境	65536	102794	3	{l=0}
-102001	如临大敌	65536	104763	3	{i=0}
-102002	奴仆	65536	22900	3	{n=0}
-102003	如临深渊	65536	110085	3	{i=1}
-102004	一蹴	65546	19968	1	null
-102005	如出一	65923	135343	1	null
-102006	一蹶	65590	19968	1	null
-102007	如前所	65845	135426	1	null
-102008	如坐针毡	65536	119933	3	{i=1}
-102009	如履薄	81101	138010	1	null
-102010	壬亥	65536	22764	3	{m=0}
-102011	发射点	65536	131676	3	{n=0}
-102012	依照	65536	20381	3	{p=26, v=8}
-102013	如履薄冰	65536	102009	3	{i=0}
-102014	交通警	65536	120068	3	{n=0}
-102015	上犹	65540	19978	1	null
-102016	如影随形	65536	104423	3	{i=0}
-102017	不骄不躁	65536	85833	3	{i=0}
-102018	下标	65536	19979	3	{n=0}
-102019	产业资	65547	93336	1	null
-102020	如意算	71599	139204	1	null
-102021	乘警	65536	20056	3	{n=0}
-102022	如坐云	65768	136709	1	null
-102023	如意算盘	65536	102020	3	{i=0}
-102024	如愿以	81419	139252	1	null
-102025	凝脂	65536	20957	3	{n=1}
-102026	如愿以偿	65536	102024	3	{i=5}
-102027	如数家	72383	140325	1	null
-102028	如数家珍	65536	102027	3	{i=3}
-102029	如日中	79205	140442	1	null
-102030	如日中天	65536	102029	3	{i=3}
-102031	如是说	65536	140516	3	{l=2}
-102032	如来佛	65536	140826	3	{nr=1}
-102033	垃圾桶	65536	97441	3	{n=1}
-102034	如此一	75567	141849	1	null
-102035	保护率	65536	112241	3	{n=1}
-102036	如此一来	65536	102034	3	{l=3}
-102037	如此而已	65536	114846	3	{i=0}
-102038	到位	65536	21040	3	{v=23, vn=0}
-102039	如此这般	65536	118891	3	{l=2}
-102040	如沐春	65800	142149	1	null
-102041	东海	65553	19996	2	{nr=0, ns=15, nz=0}
-102042	如法炮	80997	142218	1	null
-102043	如法炮制	65536	102042	3	{i=1}
-102044	如泣如	66260	142232	1	null
-102045	如泣如诉	65536	102044	3	{i=1}
-102046	如火如	68387	143136	1	null
-102047	如火如荼	65536	102046	3	{i=3}
-102048	如狼似	67667	143793	1	null
-102049	如狼似虎	65536	102048	3	{i=0}
-102050	如痴如	65540	144553	1	null
-102051	十字花	65562	116740	1	null
-102052	如皋市	65536	144704	3	{ns=0}
-102053	如胶似	73632	147371	1	null
-102054	如胶似漆	65536	102053	3	{i=0}
-102055	如臂使	76705	147575	1	null
-102056	如臂使指	65536	102055	3	{i=0}
-102057	友善	65536	21451	3	{a=0, an=0, nr=0}
-102058	如花似	72503	147814	1	null
-102059	一身	65539	19968	2	{m=0, n=7}
-102060	一显身	65538	91710	1	null
-102061	一试身	65540	101333	1	null
-102062	事事躬	65945	94361	1	null
-102063	为国捐躯	65536	90968	3	{i=0}
-102064	事必躬	65955	98771	1	null
-102065	五短身	65595	115105	1	null
-102066	东藏西躲	65536	100744	3	{i=0}
-102067	优惠证	65536	97112	3	{n=2}
-102068	个人赛	65536	86081	3	{n=2}
-102069	又红	69940	21448	1	null
-102070	冤家路	65542	93936	1	null
-102071	受用终身	65536	98205	3	{i=0}
-102072	吾日三省吾身	65536	94179	3	{i=0}
-102073	乐理	65536	20048	3	{n=0}
-102074	大麻子	65536	169045	3	{n=0}
-102075	售货棚	65536	115225	3	{n=0}
-102076	世界贸	65536	97124	1	null
-102077	奋不顾身	65536	104645	3	{i=2}
-102078	个贷	65536	20010	3	{j=0}
-102079	呈报	65536	21576	3	{v=2}
-102080	如花似玉	65536	102058	3	{i=0}
-102081	如若不	73100	147866	1	null
-102082	如若不然	65536	102081	3	{l=0}
-102083	如获至	78634	148076	1	null
-102084	偷人	65536	20599	3	{v=0}
-102085	世袭	65536	19990	3	{vn=0}
-102086	专职	65536	19987	3	{b=6, d=0, v=1}
-102087	如获至宝	65536	102083	3	{i=0}
-102088	如虎添	69326	148739	1	null
-102089	埋头	65552	22475	2	{v=3, vd=0, vn=0}
-102090	如虎添翼	65536	102088	3	{i=1}
-102091	从一	65579	20174	1	null
-102092	塞纳河	67794	124662	2	{ns=15}
-102093	如蚁附膻	65536	104433	3	{i=0}
-102094	如诉如	74220	150142	1	null
-102095	如诉如泣	65536	102094	3	{i=0}
-102096	严词	65536	20005	3	{d=1}
-102097	如醉如	72777	151614	1	null
-102098	如释重负	65536	102971	3	{i=0}
-102099	喘气	65536	21912	3	{v=2}
-102100	如闻其	79335	152752	1	null
-102101	坝基	65536	22365	3	{n=0}
-102102	奋不	65607	22859	1	null
-102103	如闻其声	65536	102100	3	{i=0}
-102104	从不	65536	20174	3	{d=24}
-102105	如雷似	73328	153004	1	null
-102106	大中型	65536	148423	3	{b=52}
-102107	如雷似火	65536	102105	3	{l=1}
-102108	中国足	65566	107473	1	null
-102109	如雷贯耳	65536	117964	3	{i=2}
-102110	好心人	65536	146302	3	{n=2}
-102111	剧务	65536	21095	3	{n=0}
-102112	大兴岛	65536	149262	3	{ns=0}
-102113	堆存	65536	22534	3	{v=0}
-102114	如饥似渴	65536	102116	3	{i=3}
-102115	如饥如渴	65536	104746	3	{i=0}
-102116	如饥似	73902	153626	1	null
-102117	从业	65601	20174	2	{b=62, v=1, vn=0}
-102118	佐证	65536	20304	3	{n=1, v=0}
-102119	如鱼得	74421	154417	1	null
-102120	基础性	65536	136125	3	{n=12}
-102121	如鱼得水	65536	102119	3	{i=0}
-102122	如鸟兽	76168	154836	1	null
-102123	如鸟兽散	65536	102122	3	{i=0}
-102124	妄自尊大	65536	102127	3	{i=0}
-102125	坏处	65536	22351	3	{n=1}
-102126	妃子	65536	22915	3	{n=0}
-102127	妄自尊	79301	118053	1	null
-102128	从严	65536	20174	3	{d=34, v=0}
-102129	妄自菲薄	65536	112343	3	{i=0}
-102130	妆奁	65536	22918	3	{n=0}
-102131	妇代会	65536	112073	3	{j=1}
-102132	妇产医	65974	112013	1	null
-102133	妇女病	65536	114777	3	{n=0}
-102134	兼任	65536	20860	3	{v=9}
-102135	妇委会	65536	114874	3	{j=1, n=0}
-102136	从中	65900	20174	2	{d=27}
-102137	妇孺皆	71446	115296	1	null
-102138	刚劲	65536	21018	3	{a=2}
-102139	妇孺皆知	65536	102137	3	{i=1}
-102140	妇救会	65536	117815	3	{j=0}
-102141	亏负	65536	20111	3	{v=0}
-102142	妇科病	65536	123063	3	{n=1}
-102143	坝堤	65536	22365	3	{n=0}
-102144	垄断资	71030	101191	1	null
-102145	剥落	65536	21093	3	{v=1, vn=0}
-102146	俚语	65536	20442	3	{n=0}
-102147	如梦令	65536	141147	3	{nz=1}
-102148	奠定	65536	22880	3	{v=39, vn=1}
-102149	大部头	65536	165506	3	{n=0}
-102150	云片	65536	20113	1	null
-102151	妇道人	78681	128825	1	null
-102152	亚欧	65592	20122	2	{j=3, nz=0}
-102153	回天无	74972	133417	1	null
-102154	匀细	65536	21248	3	{a=1}
-102155	如醉如狂	65536	102097	3	{i=1}
-102156	变频管	65536	139932	3	{n=0}
-102157	吴桥	72681	21556	2	{ns=1}
-102158	变速箱	65536	137770	3	{n=0}
-102159	妇道人家	65536	102151	3	{l=0}
-102160	半自耕	69642	133888	1	null
-102161	咸宁	70499	21688	2	{ns=0}
-102162	奎塔	65536	22862	3	{ns=3}
-102163	妊娠期	65536	102850	3	{t=0}
-102164	太极图	65536	122275	3	{n=0}
-102165	圣诞树	65536	144776	3	{n=5}
-102166	党代表	65679	105728	2	{n=14}
-102167	奈卜	71814	22856	1	null
-102168	妒忌心	65536	103458	3	{n=0}
-102169	十年磨	69504	117537	1	null
-102170	妈妈	65536	22920	3	{n=72}
-102171	妒贤嫉	69155	115066	1	null
-102172	其意	65536	20854	3	{n=2}
-102173	大中城	75557	148423	1	null
-102174	哥儿	74492	21733	1	null
-102175	妒嫉	65536	22930	3	{v=0, vn=0}
-102176	妒贤嫉能	65536	102171	3	{i=0}
-102177	两袖	65537	20004	1	null
-102178	伤者	65536	20260	3	{n=13, r=0}
-102179	刑法	67390	21009	2	{n=14}
-102180	妓女	65536	22931	3	{n=0}
-102181	去污粉	65536	112218	3	{n=0}
-102182	妖形怪	72818	110259	1	null
-102183	奢华	65536	22882	3	{a=2}
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-102185	妖言惑	81941	121169	1	null
-102186	卫星舱	65536	101034	3	{n=0}
-102187	严谨	65536	20005	3	{a=12, ad=1, an=0}
-102188	妖言惑众	65536	102185	3	{i=0}
-102189	占地	65536	21344	3	{v=18, vn=6}
-102190	妖里妖	74525	123165	1	null
-102191	中华路	65536	106530	3	{n=1, ns=1}
-102192	制造者	65536	126114	3	{n=2}
-102193	妖里妖气	65536	102190	3	{z=0}
-102194	妖魔鬼怪	65536	105287	3	{i=0}
-102195	妙不可	66869	108188	1	null
-102196	伤耗	65536	20260	3	{v=0}
-102197	妙不可言	65536	102195	3	{i=0}
-102198	原子核	65536	126179	3	{n=0}
-102199	大个子	65536	148420	3	{n=0}
-102200	妙手回	76052	113370	1	null
-102201	妙手回春	65536	102200	3	{i=0}
-102202	妙手空空	65536	111316	3	{i=0}
-102203	久负	65537	20037	1	null
-102204	妙语如珠	65536	102205	3	{i=0}
-102205	妙语如	72540	124028	1	null
-102206	妙语连珠	65536	116121	3	{i=0}
-102207	妙趣横	73901	124466	1	null
-102208	妙高台	65536	127847	3	{ns=0}
-102209	妞儿	65536	22942	3	{n=1}
-102210	介词	65536	20171	3	{n=0}
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-102213	妥妥当	77815	106352	1	null
-102214	下棋	65536	19979	3	{v=0}
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-102220	坦佩	65593	22374	1	null
-102221	外来妹	65536	146918	3	{n=0}
-102222	妨害	65536	22952	3	{v=3, vn=0}
-102223	妙趣横溢	65536	102207	3	{i=0}
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-102225	东港	65547	19996	2	{ns=0}
-102226	奋争	65536	22859	3	{v=0}
-102227	决堤	65536	20915	3	{v=1}
-102228	妮儿	65536	22958	3	{n=0}
-102229	基本建	65796	131753	1	null
-102230	从事	65536	20174	3	{v=130, vn=0}
-102231	妯娌	65536	22959	3	{n=0}
-102232	妻儿老	78666	103216	1	null
-102233	妻儿老小	65536	102232	3	{l=0}
-102234	妻离子	76281	113580	1	null
-102235	卓绝	65536	21331	3	{z=0}
-102236	妻离子散	65536	102234	3	{i=0}
-102237	始于足	82262	105003	1	null
-102238	击掌	65536	20987	3	{v=1}
-102239	从五	65541	20174	1	null
-102240	从井	65536	20174	1	null
-102241	始于足下	65536	102237	3	{i=1}
-102242	姊妹篇	65536	102978	3	{n=0}
-102243	促请	65536	20419	3	{v=0}
-102244	始作俑	69472	105209	1	null
-102245	始作俑者	65536	102244	3	{i=0, n=1}
-102246	东洋车	65536	101933	3	{n=0}
-102247	丢卒保车	65536	85981	3	{i=0}
-102248	中巴车	65536	109256	3	{n=5}
-102249	临湖轩	65536	99093	3	{ns=0}
-102250	交警车	65541	118864	1	null
-102251	人力车	65536	110242	3	{n=0}
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-102253	不可逆转	65536	102666	3	{i=7, l=0}
-102254	伞齿轮	65536	106510	3	{n=0}
-102255	会厌软	65539	106216	1	null
-102256	乱乱轰轰	65536	102309	3	{z=0}
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-102259	五雷轰	65536	123051	1	null
-102260	三轮车	65536	107919	3	{n=11}
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-102263	保军转	65554	107880	1	null
-102264	东湖	65536	19996	3	{ns=2}
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-102266	任人唯贤	65536	87348	3	{i=0, l=0}
-102267	一轻	65536	19968	3	{j=2}
-102268	举足轻	65550	103858	1	null
-102269	一年半载	65536	86868	3	{i=0}
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-102271	人微言轻	65536	100869	3	{i=0}
-102272	关停并转	65536	91750	3	{j=0}
-102273	兽力车	65536	89360	3	{n=0}
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-102275	凸轮轴	65536	104491	3	{n=0}
-102276	出租汽车	65536	95777	3	{l=5}
-102277	动滑轮	65536	121005	3	{n=0}
-102278	勺状软	65544	97402	1	null
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-102280	一辈	65541	19968	1	null
-102281	交相辉	65540	113634	1	null
-102282	临立	65706	20020	1	null
-102283	下一辈	65536	95355	3	{n=0}
-102284	代理费	65536	104979	3	{n=0}
-102285	剧协	65536	21095	3	{j=13}
-102286	区间车	65536	123260	3	{n=0}
-102287	千回百转	65536	95901	3	{i=0}
-102288	厚德载	65545	110125	1	null
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-102290	口碑载	65564	132906	1	null
-102291	一着不慎全盘皆输	65536	95878	3	{i=0}
-102292	交通运输	66161	103144	1	null
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-102301	典藏	65744	20856	1	null
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-102304	与世长辞	65536	103834	3	{i=1}
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-102310	传动轴	65536	105586	3	{n=0}
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-102315	吉普车	65536	119752	3	{n=5}
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-102317	回心转	71280	135107	1	null
-102318	团团转	65536	125272	3	{i=0, l=0}
-102319	图谋不轨	65536	96511	3	{i=0}
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-102321	丧权辱	65539	92378	1	null
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-102323	上班	65536	19978	2	{v=18, vn=1}
-102324	侮辱	65582	20398	2	{v=5, vn=1}
-102325	不辞辛	65541	119343	1	null
-102326	二人转	65536	98292	3	{n=1}
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-102328	大客车	65536	151868	3	{n=7}
-102329	一边	65536	19968	2	{d=33, f=10}
-102330	一望无边	65536	91620	3	{i=0}
-102331	不修边	65536	103039	1	null
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-102333	凸多边	65549	90583	1	null
-102334	万利达	65536	86685	3	{nz=3}
-102335	上传下达	65536	85670	3	{i=0, l=1}
-102336	乌干达	65536	96377	3	{ns=4}
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-102339	佛罗里达	65542	103690	2	{ns=2}
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-102341	内华达	65799	118764	1	null
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-102347	卢旺达	70255	97897	2	{ns=2}
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-102371	任重而道远	65536	102502	3	{i=0, l=4, n=0}
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-102373	借用还	65536	112501	3	{j=0}
-102374	催人奋进	65536	88511	3	{l=1}
-102375	全能运	66403	125103	1	null
-102376	军交运	65539	118016	1	null
-102377	不可向迩	65536	87317	3	{i=0}
-102378	亚凯迪	66130	95696	1	null
-102379	人才辈	65539	114260	1	null
-102380	三秋	65536	19977	3	{t=0}
-102381	从容不迫	65536	86222	3	{i=0}
-102382	农用车	65536	121584	3	{n=2}
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-102384	加官进	65536	121111	1	null
-102385	万载	65537	19975	1	null
-102386	亢进	65536	20130	3	{v=0}
-102387	匀速运	67683	106595	1	null
-102388	十六进	68402	114202	1	null
-102389	十指连	65941	118708	1	null
-102390	千里迢迢	65536	107298	3	{i=2}
-102391	促膝谈	65564	99593	1	null
-102392	升官进	65537	111490	1	null
-102393	事不过	66113	94235	1	null
-102394	卫国先锋连	65536	103691	3	{n=1}
-102395	叫苦不迭	65536	92790	3	{i=2}
-102396	凡立	68133	20961	1	null
-102397	合浦还	65541	134779	1	null
-102398	合纵连	65991	139210	1	null
-102399	丁辰	65536	19969	3	{m=0}
-102400	不知进退	65536	102647	3	{i=0}
-102401	不进则退	65536	86556	3	{l=1}
-102402	代理配送	65558	103328	1	null
-102403	临阵脱逃	65536	98611	3	{i=0}
-102404	凶信	65536	20982	3	{n=0}
-102405	削足适	65700	104800	1	null
-102406	倒行逆	65542	119841	1	null
-102407	三秦	65536	19977	3	{ns=1}
-102408	功成引退	65536	93116	3	{i=0}
-102409	具体说	65686	88049	1	null
-102410	再接	66872	20877	1	null
-102411	东滩	65536	19996	2	{ns=7}
-102412	出言不逊	65536	88160	3	{i=0}
-102413	上下车	65536	92625	3	{j=0}
-102414	义无返	65540	96332	1	null
-102415	会聚透	65537	117686	1	null
-102416	乔迁	65995	20052	2	{v=4, vn=1}
-102417	作品选	65536	109606	3	{n=0}
-102418	功成身退	65536	105298	3	{i=0}
-102419	发散透	65570	134075	1	null
-102420	发展前途	65536	93870	3	{n=2}
-102421	同呼吸共命运	65536	93361	3	{l=2, n=0}
-102422	剧变	65536	21095	3	{v=0, vn=0}
-102423	体育运	65593	117904	1	null
-102424	势在必进	65536	90333	3	{i=0}
-102425	同命相连	65536	96081	3	{i=1}
-102426	一通	65541	19968	1	null
-102427	一窍不通	65536	85564	3	{i=1}
-102428	一通百通	65536	95875	3	{i=0}
-102429	八仙过海各显神通	65536	97791	3	{i=1, n=0}
-102430	博古通	70842	108640	1	null
-102431	亚音速	65536	113620	3	{n=1}
-102432	储油构造	65536	92570	3	{l=1}
-102433	兵贵神速	65536	96615	3	{i=0}
-102434	久别重逢	65536	102876	3	{i=0}
-102435	凭空捏造	65536	90959	3	{i=0}
-102436	光纤通	67015	123171	1	null
-102437	万事通	65536	85759	3	{l=0, n=0}
-102438	京剧迷	65536	92694	3	{n=1}
-102439	劳动改造	65536	108228	3	{l=1}
-102440	千载难逢	65536	108159	3	{i=2}
-102441	为民造	65537	94182	1	null
-102442	变则通	65536	121892	3	{i=0}
-102443	各显神通	65536	103305	3	{i=0}
-102444	名胜古迹	65536	94067	3	{l=0, n=3}
-102445	名闻遐迩	65536	110772	3	{i=0}
-102446	伤脑	65537	20260	1	null
-102447	启动盘	65536	104403	3	{n=0}
-102448	启蒙运	72944	117188	1	null
-102449	告老还	74127	125303	1	null
-102450	万达	65536	19975	3	{nr=1, nz=0}
-102451	呼吸相通	65536	104764	3	{i=1}
-102452	命乖运	65536	105157	1	null
-102453	哥斯达	65538	107406	1	null
-102454	下榻	65536	19979	3	{v=2}
-102455	功夫茶	65536	109171	3	{n=0}
-102456	一劳永逸	65536	93240	3	{i=0}
-102457	俊发飘逸	65536	104674	3	{i=0}
-102458	商品流通	65536	106358	3	{l=5}
-102459	仕途	65536	20181	3	{n=0}
-102460	参观票	65536	126875	3	{n=0}
-102461	中长途	65536	123475	3	{j=3}
-102462	中原逐	65536	106611	1	null
-102463	咏物	65725	21647	1	null
-102464	啪达	65536	21866	3	{o=0}
-102465	哈拉海	66351	118364	1	null
-102466	丧身	65536	20007	3	{v=0}
-102467	半身不遂	65536	90546	3	{l=0}
-102468	卸甲	67033	21368	1	null
-102469	四则运	65540	130941	1	null
-102470	四通八达	65536	95861	3	{i=4}
-102471	不期而遇	65536	98336	3	{i=2}
-102472	互惠待遇	65536	89991	3	{l=0}
-102473	优惠待遇	65536	90743	3	{l=2}
-102474	回光返	66920	131401	1	null
-102475	举行	65536	20030	3	{v=660, vn=2}
-102476	土家族	65536	137080	3	{nz=22}
-102477	乡规	65548	20065	1	null
-102478	哀鸿遍	65618	134388	1	null
-102479	在劫难逃	65536	104229	3	{i=1}
-102480	反射线	65536	130475	3	{n=0}
-102481	交通费	65536	120068	3	{n=2}
-102482	口头语	65536	124877	3	{n=0}
-102483	一道	65536	19968	3	{d=35, s=0}
-102484	一人得道	65536	90009	3	{i=0}
-102485	上呼吸道	65536	87096	3	{l=0}
-102486	一语道	65536	101357	1	null
-102487	一览无遗	65536	91627	3	{i=0}
-102488	上水道	65536	100346	3	{n=0}
-102489	上轨道	65536	109358	3	{v=0}
-102490	下水道	65536	103087	3	{n=1}
-102491	不人道	65536	102731	3	{a=0}
-102492	不足称道	65536	97017	3	{i=0}
-102493	中庸之道	65536	85933	3	{i=0}
-102494	专用道	65536	99234	3	{n=0}
-102495	主河道	65536	111686	3	{n=0}
-102496	主渠道	65536	112051	3	{n=5}
-102497	主航道	65536	117181	3	{n=0}
-102498	人行道	65536	123987	3	{n=8}
-102499	人行横道	65536	92729	3	{l=0, n=2}
-102500	东海道	65536	102041	3	{ns=0}
-102501	仁义道	65540	87302	1	null
-102502	任重而道	65543	98364	1	null
-102503	传经授道	65536	91016	3	{i=0}
-102504	保龄球道	65536	95246	3	{n=2}
-102505	借东	65557	20511	1	null
-102506	假眉三道	65536	87335	3	{l=0}
-102507	做东道	65536	99803	3	{l=0}
-102508	养生之道	65536	87717	3	{n=0}
-102509	养虎遗	65540	117773	1	null
-102510	反其道	65708	127773	1	null
-102511	口碑载道	65536	102290	3	{i=1}
-102512	含糊其辞	65536	94070	3	{i=0}
-102513	分洪道	65536	130166	3	{n=2}
-102514	主干道	65536	108037	3	{n=7}
-102515	咸镜南道	65536	94574	3	{ns=0}
-102516	地下铁道	65536	114292	3	{l=0}
-102517	地下隧道	65536	114778	3	{n=0}
-102518	地地道	65573	138639	1	null
-102519	国民收	75585	142320	1	null
-102520	地地道道	65536	102518	3	{l=2}
-102521	坐而论道	65536	101567	3	{i=3}
-102522	俯视	65571	20463	2	{v=0}
-102523	坐标轴	65536	132400	3	{n=0}
-102524	垫上运	76308	99330	1	null
-102525	外听道	65536	141997	3	{n=0}
-102526	售完	65536	21806	3	{v=0}
-102527	多渠道	65536	148891	3	{b=0, d=0, l=1, n=0}
-102528	国民政	72204	142320	1	null
-102529	偷偷	65537	20599	2	{d=4}
-102530	劳动价	68263	109156	1	null
-102531	任重道	65544	110355	1	null
-102532	大显神通	65536	100037	3	{i=0}
-102533	养痈遗	65539	113543	1	null
-102534	俯角	65536	20463	3	{n=0}
-102535	大板车	65536	154905	3	{n=0}
-102536	大前提	65536	149479	3	{n=1}
-102537	一手遮	65537	90699	1	null
-102538	几率	65536	20960	3	{n=0}
-102539	大篷车	65536	160145	3	{n=9}
-102540	大行其道	65536	100258	3	{l=1}
-102541	大藏经	65536	162665	3	{n=1}
-102542	万通	65536	19975	3	{nz=0}
-102543	共事	65536	20849	3	{v=2, vn=0}
-102544	大跃进	65536	164701	3	{l=0, nz=1}
-102545	不一	65548	19981	2	{a=0, v=7}
-102546	大辂椎轮	65536	100302	3	{i=0}
-102547	大逆不道	65536	100305	3	{i=0}
-102548	声震寰	75336	147593	1	null
-102549	仰观	65536	20208	3	{v=1}
-102550	复杂性	65536	138823	3	{n=5}
-102551	大通道	65536	165300	3	{n=2}
-102552	天差地远	65536	100613	3	{i=0}
-102553	仰视	65536	20208	3	{v=0}
-102554	不三	65702	19981	1	null
-102555	不上	65703	19981	1	null
-102556	不下	65576	19981	1	null
-102557	介质	65536	20171	3	{n=0}
-102558	候车	66664	20505	2	{v=1, vn=1}
-102559	创刊词	65536	106590	3	{n=0}
-102560	嗜杀	70238	21980	1	null
-102561	天旋地转	65536	100635	3	{i=0}
-102562	从俗	65536	20174	3	{v=0}
-102563	一刹那	65536	86585	3	{t=0}
-102564	一霎那	65536	104206	3	{t=0}
-102565	仰角	65536	20208	3	{n=0}
-102566	乌托邦	65536	97375	3	{nz=0}
-102567	不世	65644	19981	1	null
-102568	余党	65536	20313	3	{n=0}
-102569	印度支那	65536	97460	3	{ns=0}
-102570	北京站	65536	122205	3	{ns=5}
-102571	共产	67864	20849	1	null
-102572	发电站	65536	138125	3	{n=4}
-102573	佛教	65561	20315	2	{nz=11}
-102574	万国邮	65536	87921	1	null
-102575	共享	65599	20849	2	{v=10, vn=4}
-102576	古吉拉特邦	65536	94887	3	{ns=0}
-102577	古尔邦	65556	129584	1	null
-102578	哈瓦那	65536	123001	3	{ns=2}
-102579	借书	65970	20511	1	null
-102580	列岛	65536	21015	3	{n=0}
-102581	圭亚那	65536	96945	3	{ns=0}
-102582	不严	65536	19981	3	{a=7}
-102583	地拉那	65536	141608	3	{ns=2}
-102584	卓有远	65595	96135	1	null
-102585	埃塞俄比亚联邦	69858	98745	1	null
-102586	多难兴邦	65536	99526	3	{i=0}
-102587	僻远	65536	20731	3	{a=0}
-102588	天主教徒	65536	104391	3	{n=0}
-102589	天真无邪	65536	100706	3	{i=0}
-102590	天知道	65536	158965	3	{l=0}
-102591	夫子自道	65536	110019	3	{i=0}
-102592	增殖腺	65536	132670	3	{n=0}
-102593	卧柜	65536	21351	3	{n=0}
-102594	余兴	65536	20313	3	{n=1}
-102595	器材	65536	22120	3	{n=19}
-102596	头头是道	65536	101014	3	{i=1}
-102597	头班车	65536	142502	3	{n=3}
-102598	圆锥曲	65842	140042	1	null
-102599	头重脚轻	65536	101045	3	{i=0}
-102600	夸父追	74977	112521	1	null
-102601	例行	65803	20363	2	{n=0, v=1, vn=4}
-102602	不丹	65536	19981	2	{ns=0}
-102603	不为	65546	19981	1	null
-102604	嘲笑	65536	22066	3	{v=2, vn=0}
-102605	城近郊	76310	139293	1	null
-102606	丁零当郎	65536	89939	3	{o=0}
-102607	吊儿郎	68895	118250	1	null
-102608	吨粮田	65536	105665	3	{j=1}
-102609	亚泰	65536	20122	3	{nz=0}
-102610	夸大其辞	65536	101055	3	{i=0}
-102611	四面楚	68477	148678	1	null
-102612	夹道欢迎	65536	101080	3	{l=0}
-102613	奇耻大辱	65536	101105	3	{i=0}
-102614	不久	65538	19981	2	{d=3, m=66, t=0}
-102615	准宾	65598	20934	1	null
-102616	响杨	65536	21709	3	{n=0}
-102617	奋发上进	65536	101172	3	{l=1}
-102618	不义	65645	19981	1	null
-102619	增长点	65536	143399	3	{n=44}
-102620	冷藏车	65536	126424	3	{n=0}
-102621	大吃大	77851	149917	1	null
-102622	上甘	65536	19978	1	null
-102623	奋起直追	65536	106289	3	{i=2}
-102624	不乏	65549	19981	2	{v=13}
-102625	入场费	65536	112985	3	{n=0}
-102626	办学	65536	21150	3	{n=0, v=24, vn=27}
-102627	套话连	69523	137870	1	null
-102628	奥兰吉那	65536	101854	3	{nz=0}
-102629	咖啡吧	65536	94507	3	{n=0}
-102630	乌盟	65536	20044	3	{j=0, ns=2}
-102631	产物	65536	20135	3	{n=18}
-102632	一部	65539	19968	1	null
-102633	一机部	65536	91962	3	{j=0}
-102634	七机部	65536	92062	3	{j=0}
-102635	三总部	65536	95836	3	{j=11}
-102636	三机部	65536	97627	3	{j=1}
-102637	东中西部	65536	100735	3	{j=7}
-102638	中南部	65536	106539	3	{f=3, n=0}
-102639	中宣部	65536	108663	3	{j=31}
-102640	中组部	65536	117656	3	{j=9}
-102641	中联部	65536	118056	3	{j=9, n=0}
-102642	东海郡	65536	102041	3	{ns=0}
-102643	人武部	65536	116589	3	{j=3, n=2}
-102644	俱乐部	65623	86800	2	{n=42}
-102645	东西部	65536	109217	3	{f=3, j=0, n=0}
-102646	上田	65536	19978	3	{nr=0}
-102647	不知进	65536	113270	1	null
-102648	业务部	65536	87039	3	{n=0}
-102649	串连	65536	20018	3	{vn=0}
-102650	党支部	65536	111436	3	{n=51}
-102651	共价	65536	20849	1	null
-102652	内务部	65536	118591	3	{n=0, nt=1}
-102653	二心	65536	20108	3	{n=0}
-102654	东京都	65536	94158	3	{ns=1}
-102655	内政部	65553	123357	1	null
-102656	冷食部	65536	131304	3	{n=0}
-102657	不买	65536	19981	1	null
-102658	加德满都	65536	93928	3	{ns=4}
-102659	团支部	65536	128933	3	{n=0}
-102660	国家安全部	65536	96360	3	{n=0}
-102661	参谋部	65536	127460	3	{n=0}
-102662	事业部	65550	94248	1	null
-102663	城工部	65536	126513	3	{j=0}
-102664	头胸部	65536	145841	3	{n=0}
-102665	型材	65536	22411	3	{n=0}
-102666	不可逆	65537	104064	1	null
-102667	多元性	65536	141502	3	{n=2}
-102668	奥斯威辛	65536	103324	3	{ns=1}
-102669	奥里萨邦	65536	101251	3	{ns=0}
-102670	奴隶制	77050	120418	2	{n=1}
-102671	乱糟	65539	20081	1	null
-102672	女儿岛	65536	140130	3	{n=0}
-102673	好八连	65536	142630	3	{n=4}
-102674	好戏连	80459	146890	1	null
-102675	亚洲	66170	20122	2	{ns=236}
-102676	北方邦	65536	128106	3	{ns=0}
-102677	好高骛远	65536	105153	3	{i=1}
-102678	好高鹜远	65536	106114	3	{i=0}
-102679	不了	65587	19981	1	null
-102680	大路货	65536	164745	3	{n=1}
-102681	不予	65536	19981	3	{v=9, vn=0}
-102682	不争	65536	19981	3	{v=0}
-102683	如上所述	65536	101990	3	{c=1}
-102684	如出一辙	65536	102005	3	{i=0}
-102685	不二	65538	19981	1	null
-102686	剪不	65758	21098	1	null
-102687	准将	65536	20934	3	{n=0}
-102688	天文学	77152	154263	2	{n=2}
-102689	奖牌榜	65536	115740	3	{n=1}
-102690	准尉	65536	20934	3	{n=0}
-102691	反对票	65536	130464	3	{n=3}
-102692	催款	65536	20652	3	{v=0}
-102693	如前所述	65536	102007	3	{l=1}
-102694	丙辰	65536	19993	3	{m=0}
-102695	功成名遂	65536	90292	3	{i=0}
-102696	圆周角	65536	123469	3	{n=0}
-102697	妊妇	65536	22922	3	{n=0}
-102698	使用	65670	20351	2	{v=175, vn=34}
-102699	不亚	65594	19981	1	null
-102700	售票点	65536	110170	3	{n=0}
-102701	始发地	65536	106350	3	{n=0}
-102702	坦克	76500	22374	2	{n=0}
-102703	体育部	65536	117904	3	{n=4}
-102704	剑羚	65536	21073	3	{n=3}
-102705	乐百	65536	20048	1	null
-102706	借以	65536	20511	3	{v=6}
-102707	不亢	65724	19981	1	null
-102708	始料不	81263	110902	1	null
-102709	串通	65977	20018	2	{v=5, vn=1}
-102710	价值连	65540	87450	1	null
-102711	不亦	65658	19981	1	null
-102712	夏至线	65536	140629	3	{n=0}
-102713	始料不及	65536	102708	3	{i=0}
-102714	天长市	65536	166543	3	{ns=0}
-102715	奋发向	81177	103578	1	null
-102716	做好	65536	20570	3	{v=155, vn=0}
-102717	东瀛	65536	19996	3	{n=2, ns=0}
-102718	单项赛	65536	142721	3	{n=1}
-102719	厅级	65536	21381	3	{b=5, n=0}
-102720	始料未及	65536	109137	3	{i=2}
-102721	候选	66671	20505	2	{b=4, v=0}
-102722	不可逾	65536	104064	1	null
-102723	中国通	65536	107473	3	{n=0}
-102724	剥蚀	65536	21093	3	{v=1, vn=0}
-102725	始沸点	65536	112725	3	{n=0}
-102726	土腥气	65536	146727	3	{n=0}
-102727	始爆器	65536	114083	3	{n=0}
-102728	垫子	65536	22443	3	{n=1}
-102729	发射率	65536	131676	3	{n=0}
-102730	人事部	65546	109202	2	{n=0, nt=19}
-102731	不人	65544	19981	1	null
-102732	始终不懈	65536	102736	3	{i=0}
-102733	内贸部	65536	133590	3	{j=5}
-102734	天仙配	65536	148457	3	{nz=1}
-102735	始终如一	65536	105669	3	{i=1}
-102736	始终不	77700	117349	1	null
-102737	姑奶奶	65536	112067	3	{n=0}
-102738	亚硫酐	65536	105548	3	{n=0}
-102739	交杯酒	65536	109657	3	{n=0}
-102740	变性酒	65542	125490	1	null
-102741	余切	65536	20313	3	{n=0}
-102742	不仅	65543	19981	2	{c=344, d=5}
-102743	乳粉	65536	20083	3	{n=4}
-102744	啤酒	69344	21860	2	{n=29}
-102745	姑妄听之	65536	102746	3	{i=0}
-102746	姑妄听	82702	112081	1	null
-102747	姑妄言之	65536	116526	3	{i=0}
-102748	不足道	65536	118852	3	{v=0}
-102749	姑娘家	65536	112229	3	{n=0}
-102750	姑息养	79848	113852	1	null
-102751	住院部	65536	107596	3	{n=1}
-102752	姑息养奸	65536	102750	3	{i=0}
-102753	姑息疗法	65536	111994	3	{l=0}
-102754	啤酒节	65536	102744	3	{n=7}
-102755	姑息迁就	65536	118692	3	{l=2}
-102756	姑老爷	65536	121934	3	{n=0}
-102757	姑表亲	65536	124085	3	{n=0}
-102758	契约型	65536	114613	3	{b=0}
-102759	委以重任	65536	102983	3	{l=1}
-102760	劳动保	65552	109156	1	null
-102761	凶兆	65536	20982	3	{n=0}
-102762	三等	65540	19977	2	{b=3}
-102763	冠盖	65645	20896	1	null
-102764	同工同酬	65536	93489	3	{l=0}
-102765	壮志未酬	65536	103403	3	{i=0}
-102766	天道酬	79575	165219	1	null
-102767	凉冰	67158	20937	1	null
-102768	喀拉	73434	21888	1	null
-102769	供状	65536	20379	3	{n=0}
-102770	兼具	65536	20860	3	{v=1}
-102771	姓名	65536	22995	3	{n=17}
-102772	委内瑞	77497	105921	1	null
-102773	委任书	65536	105271	3	{n=0}
-102774	不以	65683	19981	1	null
-102775	余利	65536	20313	3	{n=0}
-102776	丙烯酸	65536	94821	3	{n=0}
-102777	一元酸	65536	86339	3	{n=0}
-102778	亚硫酸	65536	105548	3	{n=0}
-102779	保管费	65536	118638	3	{n=3}
-102780	冰醋酸	65536	129168	3	{n=0}
-102781	凝血酶	65536	103879	3	{n=0}
-102782	单宁酸	65536	127113	3	{n=0}
-102783	卡纳维	65798	123851	1	null
-102784	人民警	65538	116760	1	null
-102785	坏官	65536	22351	3	{n=1}
-102786	委内瑞拉	65536	102772	3	{ns=47}
-102787	不可避	65543	104064	1	null
-102788	剖腹藏	65539	101511	1	null
-102789	委办局	65536	106202	3	{j=1}
-102790	二元酸	65536	98941	3	{n=0}
-102791	委员会	81753	106644	2	{n=405}
-102792	企足	65588	20225	1	null
-102793	亚硝酸	65540	105534	2	{n=0}
-102794	如临其	79341	134377	1	null
-102795	争风吃醋	65536	87092	3	{i=0}
-102796	加油添醋	65536	94882	3	{i=0}
-102797	如痴如醉	65536	102050	3	{i=1}
-102798	大中小学	69647	103262	2	{j=0}
-102799	委员会制	65536	102791	3	{n=5}
-102800	委培生	65536	107573	3	{n=0}
-102801	啤酒花	65536	102744	3	{n=0, nt=0}
-102802	大梦初醒	65536	100095	3	{l=0}
-102803	如梦初醒	65536	102972	3	{i=0}
-102804	如梦方醒	65536	107992	3	{i=0}
-102805	京秦	65590	20140	1	null
-102806	委曲求	81967	111406	1	null
-102807	委曲求全	65536	102806	3	{i=0}
-102808	丁酉	65536	19969	3	{m=0}
-102809	委靡不	77419	123805	1	null
-102810	委靡不振	65536	102809	3	{i=0}
-102811	下欠	65536	19979	3	{n=0, v=0}
-102812	下次	65536	19979	3	{t=6}
-102813	多样性	65536	147378	3	{n=19}
-102814	姗姗	76346	22999	1	null
-102815	姗姗来	65988	102814	1	null
-102816	勘误	65570	21208	2	{v=0}
-102817	呈文	65536	21576	3	{n=0}
-102818	不休	65536	19981	3	{v=3}
-102819	姗姗来迟	65536	102815	3	{i=2}
-102820	乳糖	65536	20083	3	{n=0}
-102821	奏乐	65536	22863	3	{v=1}
-102822	冻结	65536	20923	3	{v=16, vn=2}
-102823	姚坪	65536	23002	3	{ns=0}
-102824	姜冯营	76376	103321	1	null
-102825	姜冯营村	65536	102824	3	{ns=0}
-102826	乳糜	65536	20083	3	{n=0}
-102827	不会	65555	19981	2	{d=0, v=1}
-102828	外耳道	65536	153268	3	{n=0}
-102829	估计	65536	20272	3	{j=0, v=48, vn=9}
-102830	姜春云	65536	108559	3	{nr=45}
-102831	凌空	65536	20940	3	{v=4, vd=1}
-102832	姜片虫	65536	111665	3	{n=0}
-102833	地方军	65536	142360	3	{n=1}
-102834	姥姥	65536	23013	3	{n=2}
-102835	姨兄弟	65536	107288	3	{n=0}
-102836	姊夫	65536	22986	3	{n=0}
-102837	姨太太	65536	109310	3	{n=0}
-102838	姨奶奶	65536	109386	3	{n=0}
-102839	不伦	65729	19981	1	null
-102840	东北部	65536	95289	3	{f=10}
-102841	下款	65536	19979	3	{n=0}
-102842	东南部	65536	95353	3	{f=2}
-102843	便士	65536	20415	3	{n=12, q=4}
-102844	侵越	65536	20405	3	{v=1}
-102845	函授部	65536	94051	3	{n=0}
-102846	姨姊妹	65536	109470	3	{n=0}
-102847	姨姥姥	65536	109497	3	{n=0}
-102848	余割	65536	20313	3	{n=0}
-102849	团结村	65536	135497	3	{ns=0}
-102850	妊娠	75764	22922	2	{v=0, vn=1}
-102851	姹紫	79585	23033	1	null
-102852	姹紫嫣	70435	102851	1	null
-102853	姹紫嫣红	65536	102852	3	{i=2}
-102854	便壶	65536	20415	3	{n=0}
-102855	一展风采	65536	104657	3	{l=0}
-102856	妹夫	65536	22969	3	{n=1}
-102857	丰富多采	65536	88435	3	{i=1}
-102858	姻亲	65536	23035	3	{n=0}
-102859	威信扫	80664	112977	1	null
-102860	一日千里	65536	86874	3	{i=0}
-102861	一泻千里	65536	86855	3	{i=0}
-102862	三元里	65536	92004	3	{ns=1}
-102863	不可估量	65536	86068	3	{l=1}
-102864	不可限量	65536	104276	3	{i=1}
-102865	一刻千金	65536	86851	3	{i=0}
-102866	一字千金	65536	86860	3	{i=0}
-102867	一定量	65536	88986	3	{n=3}
-102868	一掷千金	65536	86854	3	{i=0}
-102869	一诺千金	65536	86857	3	{i=1}
-102870	丁醇	65536	19969	3	{n=0}
-102871	不但	65536	19981	3	{c=61, d=0}
-102872	不自量	65557	115835	2	{a=0}
-102873	不远千里	65536	86879	3	{i=0}
-102874	丈量	65536	19976	3	{v=0}
-102875	举足轻重	65536	102268	3	{i=9}
-102876	久别重	65536	87111	1	null
-102877	乐喜金	65538	94287	1	null
-102878	亩产量	65536	86159	3	{n=0}
-102879	业务量	65536	87039	3	{n=0}
-102880	不住	65536	19981	3	{d=1, v=0}
-102881	产油量	65536	101175	3	{n=3}
-102882	人流量	65536	117064	3	{n=1}
-102883	价值千金	65536	87195	3	{l=0}
-102884	伊图里	65549	96439	1	null
-102885	众口铄金	65536	104445	3	{i=0}
-102886	供水量	65536	101103	3	{n=1}
-102887	依多金	65536	95791	3	{nz=4}
-102888	俏货	65536	20431	3	{n=0}
-102889	余力	65536	20313	3	{n=0}
-102890	保有量	65536	113366	3	{n=1}
-102891	保释金	65536	124311	3	{n=0}
-102892	信贷资金	65536	101858	3	{n=5}
-102893	倒挂金	65538	110295	1	null
-102894	储电量	65536	98974	3	{n=0}
-102895	催花量	65536	108695	3	{n=1}
-102896	充其量	65536	94308	3	{d=3}
-102897	克当量	65536	107785	3	{n=0}
-102898	公积金	65536	127168	3	{n=12}
-102899	关山重	65575	109399	1	null
-102900	关山重重	65536	102899	3	{l=2}
-102901	养老保险金	65536	104052	3	{n=3}
-102902	农丰里	65536	111608	3	{ns=0}
-102903	决算表	65536	111302	3	{n=0}
-102904	久远	65536	20037	3	{z=3}
-102905	久违	65536	20037	3	{v=5}
-102906	乌石	65958	20044	1	null
-102907	优待金	65536	96765	3	{n=2}
-102908	决胜于千里	67981	88011	1	null
-102909	优抚金	65536	97554	3	{n=2}
-102910	决胜千里	67982	89484	1	null
-102911	冶金	65883	20918	2	{n=18}
-102912	准备金	65536	101920	3	{n=7}
-102913	减摩合金	65536	88079	3	{l=0}
-102914	前途无量	65536	91784	3	{l=1}
-102915	功德无量	65536	92522	3	{i=0}
-102916	上瘾	65536	19978	3	{v=2, vn=0}
-102917	加压釜	65536	119050	3	{n=0}
-102918	兰谱	65536	20848	3	{n=0}
-102919	助养金	65536	105673	3	{n=1}
-102920	助学金	65536	108212	3	{n=0}
-102921	化学当量	65536	109975	3	{l=0}
-102922	中西部	65536	120403	3	{f=30, s=0}
-102923	千粒重	65536	126396	3	{n=0}
-102924	卡尔加里	65536	91082	3	{ns=0}
-102925	卡斯特里	65536	94853	3	{n=0}
-102926	卡路里	65536	127751	3	{q=0}
-102927	北大荒	65536	124888	3	{ns=12}
-102928	卷土重	65913	110738	1	null
-102929	不管部	65538	114226	1	null
-102930	产销量	65536	111486	3	{j=0}
-102931	厄立特里	71121	94861	1	null
-102932	参变量	65536	113073	3	{n=0}
-102933	发热量	65536	137029	3	{n=0}
-102934	可可西里	69156	101550	1	null
-102935	吃苦耐	71802	134237	1	null
-102936	吞吐量	65536	100609	3	{n=6}
-102937	供给量	65536	105876	3	{n=2}
-102938	吨公里	65536	94591	3	{q=1}
-102939	储藏量	65536	103224	3	{n=0}
-102940	保障金	65536	125545	3	{n=4}
-102941	含氧量	65536	113921	3	{n=0}
-102942	含水量	65536	113934	3	{n=0}
-102943	含金量	65536	123563	3	{l=1, n=4}
-102944	哀鸿遍野	65536	102478	3	{i=0}
-102945	困难重重	65536	108482	3	{l=4}
-102946	世谊	65536	19990	3	{n=0}
-102947	器械	75138	22120	2	{n=23}
-102948	固若金	68576	119274	1	null
-102949	国际货币基金	65833	96469	1	null
-102950	坚壁清野	65536	97305	3	{i=0}
-102951	塞恩斯伯里	65536	97807	3	{ns=2}
-102952	单行道	65536	138580	3	{n=0}
-102953	公益金	65536	126363	3	{n=0}
-102954	刮胡	67604	21038	1	null
-102955	坝子	65536	22365	3	{n=0}
-102956	军用车	65536	127876	3	{n=0}
-102957	储蓄	65786	20648	2	{n=12, v=4, vn=10}
-102958	不依	65730	19981	2	{v=1}
-102959	大五金	65536	148526	3	{n=1}
-102960	大批量	65536	153619	3	{d=0, m=2}
-102961	偏下	65536	20559	3	{f=0}
-102962	大放异	75593	154328	1	null
-102963	倾箱	66821	20542	1	null
-102964	大红大	68180	160828	1	null
-102965	大中学生	65536	103093	3	{j=0}
-102966	两讫	65536	20004	3	{v=0}
-102967	天兴里	65536	149124	3	{ns=0}
-102968	奖学金	65536	109878	3	{n=6}
-102969	垄沟	65536	22404	3	{n=0}
-102970	千古绝	67696	115982	1	null
-102971	如释重	65971	151679	1	null
-102972	如梦初	65537	141147	1	null
-102973	如醉如痴	65536	102097	3	{i=0}
-102974	啼猿	65536	21884	3	{n=0}
-102975	奎宁	65536	22862	3	{n=0}
-102976	万里	65550	19975	1	null
-102977	例规	65536	20363	3	{n=0}
-102978	姊妹	70555	22986	2	{n=10}
-102979	五大连	65536	107227	1	null
-102980	丰赡	65536	20016	3	{a=0, n=1}
-102981	万金	65536	19975	2	{n=1}
-102982	列席	65536	21015	3	{v=4, vn=0}
-102983	委以重	82540	105249	1	null
-102984	威信扫地	65536	102859	3	{i=0}
-102985	二意	65536	20108	3	{n=0}
-102986	委托书	65536	110228	3	{n=5}
-102987	威克瑞	65536	113339	3	{nz=0}
-102988	凤翔	66666	20964	2	{ns=0}
-102989	下毒	65543	19979	2	{v=0}
-102990	威兴我	69359	113380	1	null
-102991	姣好	65536	23011	3	{z=1}
-102992	不便	65536	19981	3	{a=16, ad=2, an=4, v=0}
-102993	做媒	65536	20570	3	{v=1}
-102994	威兴我荣	65536	102990	3	{l=0}
-102995	威士忌	65794	115291	2	{n=0}
-102996	威士忌酒	65536	102995	3	{n=0}
-102997	使用量	65536	102698	3	{n=1}
-102998	妹妹	65536	22969	3	{n=9}
-102999	兴高采	65543	128519	1	null
-103000	修理费	65536	108541	3	{n=3}
-103001	大后方	65536	149928	3	{s=0}
-103002	威尔士	65536	116100	3	{nr=0, ns=4}
-103003	坐视不管	65536	97287	3	{i=0}
-103004	商品性	65536	128893	3	{n=2}
-103005	二愣	65579	20108	1	null
-103006	乡试	65536	20065	3	{n=0}
-103007	姣妍	65536	23011	3	{a=0}
-103008	威尼斯	65536	116140	3	{ns=10}
-103009	威廉斯	80450	116793	1	null
-103010	凭照	65536	20973	3	{n=0}
-103011	威廉斯堡	65536	103009	3	{ns=0}
-103012	原子武	69200	126179	1	null
-103013	威斯康星	65536	103061	3	{nz=2}
-103014	从军	65537	20174	2	{v=1, vn=2}
-103015	塞尔维亚族	65536	97800	3	{nz=0}
-103016	不俗	65536	19981	3	{a=8}
-103017	他乡遇	65541	88201	1	null
-103018	威慑力	65536	117441	3	{n=0}
-103019	份量	65536	20221	3	{nz=1}
-103020	大众性	65536	148657	3	{n=0}
-103021	威斯敏斯	73718	104749	1	null
-103022	任用	65536	20219	3	{v=2, vn=3}
-103023	威斯敏斯特	65536	103021	3	{ns=2}
-103024	土地法	65536	135922	3	{n=0}
-103025	威武不	79403	120022	1	null
-103026	不信	65536	19981	1	null
-103027	威武不屈	65536	103025	3	{i=1}
-103028	上皮	65536	19978	1	null
-103029	以史为鉴	65536	86257	3	{i=0}
-103030	后车之鉴	65536	93964	3	{i=1}
-103031	任由	65536	20219	3	{v=1}
-103032	威胁利	67210	125489	1	null
-103033	威海卫	65536	120551	3	{ns=0}
-103034	地磁极	65536	147232	3	{n=0}
-103035	威胁利诱	65536	103032	3	{i=0}
-103036	刻字	65536	21051	3	{v=0}
-103037	例言	65536	20363	3	{n=0}
-103038	交通车	65536	120068	3	{n=0}
-103039	不修	65538	19981	1	null
-103040	前车之鉴	65536	88662	3	{i=4}
-103041	刮脸	67605	21038	2	{v=0}
-103042	天高地	79536	167912	1	null
-103043	丝都	65536	19997	3	{n=1}
-103044	威虎山	65536	126910	3	{n=1, ns=0}
-103045	乘车	65536	20056	3	{v=10, vn=1}
-103046	姿势	65536	23039	3	{n=2}
-103047	借债	66676	20511	2	{v=1, vn=1}
-103048	威风凛凛	65536	103056	3	{i=2}
-103049	两课	65536	20004	3	{j=0}
-103050	仪轨	65536	20202	3	{n=3}
-103051	唐三	70336	21776	1	null
-103052	伏罪	65536	20239	3	{v=0}
-103053	姣妻	65536	23011	3	{n=0}
-103054	吸收率	65536	110551	3	{n=0}
-103055	供应量	65536	97615	3	{n=8}
-103056	威风凛	82093	131646	1	null
-103057	乡谈	65536	20065	3	{n=0}
-103058	喉擦	65551	21897	1	null
-103059	乡谊	65536	20065	3	{n=1}
-103060	威风扫地	65536	107296	3	{l=0}
-103061	威斯康	76870	118559	1	null
-103062	丰足	65536	20016	3	{a=1}
-103063	价费	65596	20215	1	null
-103064	娃哈哈	65536	104484	3	{nz=0}
-103065	兼办	65536	20860	3	{v=0}
-103066	娃娃生	65536	105823	3	{n=0}
-103067	娄山关	65536	104766	3	{ns=0}
-103068	三类	65536	19977	3	{b=0}
-103069	娇嫩嫩	65536	115761	3	{z=0}
-103070	委托人	65536	110228	3	{n=1}
-103071	专营	65540	19987	2	{v=1, vn=0}
-103072	卧榻	65536	21351	3	{n=0}
-103073	写明	65536	20889	3	{v=1}
-103074	友好	65536	21451	3	{a=191, ad=3, an=3, n=0, nz=0}
-103075	不倒	65536	19981	1	null
-103076	娇小玲	73428	116055	1	null
-103077	娇小玲珑	65536	103076	3	{i=0}
-103078	娇揉造	82763	118033	1	null
-103079	娇揉造作	65536	103078	3	{i=0}
-103080	公开课	65536	120273	3	{n=0}
-103081	娇滴滴	65536	120892	3	{z=0}
-103082	娇生惯	82226	122471	1	null
-103083	夜明珠	65536	133449	3	{n=1}
-103084	代沟	65536	20195	3	{n=0}
-103085	娇生惯养	65536	103082	3	{i=2}
-103086	娇里娇	75420	129812	1	null
-103087	下水	65543	19979	2	{n=1, v=4, vn=0}
-103088	娇里娇气	65536	103086	3	{z=0}
-103089	不堪重	65536	105147	1	null
-103090	娉婷	65536	23049	3	{z=0}
-103091	娑罗	81640	23057	1	null
-103092	娑罗双	76453	103091	1	null
-103093	大中学	72982	148423	1	null
-103094	娑罗双树	65536	103092	3	{l=0}
-103095	娓娓	81936	23059	2	{d=1, nr=0}
-103096	娓娓动	81549	103095	1	null
-103097	娓娓动听	65536	103096	3	{i=0}
-103098	娓娓而谈	65536	114716	3	{i=0}
-103099	伴读	65536	20276	3	{n=0, v=0}
-103100	娓娓道来	65536	118883	3	{l=1}
-103101	以一	65542	20197	1	null
-103102	上相	65536	19978	3	{a=0}
-103103	丙酉	65536	19993	3	{m=0}
-103104	姘头	65536	23000	3	{n=0}
-103105	兽行	65536	20861	3	{n=0}
-103106	南昌起	70920	129216	1	null
-103107	娘儿们	65536	103123	3	{n=0}
-103108	哥哥	65536	21733	3	{n=9}
-103109	娘娘庙	65536	105388	3	{n=0}
-103110	娘子军	65536	105700	3	{n=3}
-103111	以上	65588	20197	2	{f=386}
-103112	以下	65536	20197	3	{f=104, p=2}
-103113	决定	67938	20915	2	{d=1, n=95, v=329, vn=27}
-103114	以不	65696	20197	1	null
-103115	回收率	65536	136502	3	{n=0}
-103116	娘家人	65536	105802	3	{n=2}
-103117	不值	65744	19981	1	null
-103118	哪样	65536	21738	3	{r=0}
-103119	娟好	65536	23071	3	{a=0}
-103120	催泪	66345	20652	1	null
-103121	专著	65536	19987	3	{n=10}
-103122	奎尔	65536	22862	3	{ns=0}
-103123	娘儿	82903	23064	2	{n=0}
-103124	于都	65656	20110	2	{ns=0}
-103125	娥眉	65536	23077	3	{n=0}
-103126	咽气	65536	21693	3	{v=0}
-103127	娱乐	83143	23089	2	{n=10, v=12, vn=32}
-103128	不假	65538	19981	1	null
-103129	以东	65536	20197	3	{f=2}
-103130	下江	65536	19979	3	{n=0}
-103131	娴熟	65536	23092	3	{a=1, ad=0, an=0}
-103132	从刑	65536	20174	3	{n=0}
-103133	囚歌	65536	22234	3	{n=0}
-103134	娶亲	65536	23094	3	{vn=0}
-103135	下汤	65539	19979	1	null
-103136	不偏	65732	19981	1	null
-103137	娱乐业	65536	103127	3	{n=5}
-103138	北大营	65536	124888	3	{ns=0}
-103139	势必	65536	21183	3	{d=18}
-103140	丙酮	65536	19993	3	{n=0}
-103141	劳动党	65536	109156	3	{n=3}
-103142	娼妇	65536	23100	3	{n=0}
-103143	乱纷	65539	20081	1	null
-103144	交通运	65537	120068	1	null
-103145	婀娜	80337	23104	2	{a=0, an=0}
-103146	姣娘	65536	23011	3	{n=0}
-103147	婀娜多	80111	103145	1	null
-103148	大处落	77129	151198	1	null
-103149	不停	65536	19981	3	{v=0}
-103150	婀娜多姿	65536	103147	3	{i=0}
-103151	奥兰多	65536	108447	3	{ns=0}
-103152	夫人	65536	22827	3	{n=64}
-103153	修建	65536	20462	3	{v=35, vn=1}
-103154	娼妓	65536	23100	3	{n=0}
-103155	婆娑起	69847	105726	1	null
-103156	交上	65536	20132	3	{v=0}
-103157	婆娑起舞	65536	103155	3	{l=0}
-103158	共同语	65546	103952	1	null
-103159	以为	65536	20197	3	{v=40}
-103160	婆婆妈妈	65536	104479	3	{i=0}
-103161	冷冻货	65536	113092	3	{n=1}
-103162	婆罗门教	65536	104474	3	{n=0}
-103163	婉言谢	70687	118485	1	null
-103164	婉言谢绝	65536	103163	3	{l=2}
-103165	丙醇	65536	19993	3	{n=0}
-103166	事务部	65540	95407	1	null
-103167	婊子	65536	23114	3	{n=0}
-103168	婚丧嫁	80075	115669	1	null
-103169	婚丧嫁娶	65536	103168	3	{l=0}
-103170	写景	65536	20889	3	{v=0}
-103171	劣绅	65536	21155	3	{n=0}
-103172	下沉	65536	19979	3	{v=1, vn=0}
-103173	姐儿	65536	22992	3	{n=0}
-103174	壕沟	65536	22741	3	{n=0}
-103175	吴江	70057	21556	2	{n=0, ns=0}
-103176	乌礁	65538	20044	1	null
-103177	咯痰	65536	21679	3	{v=0}
-103178	婚外恋	65536	118468	3	{n=0}
-103179	全球通	65536	121781	3	{n=0}
-103180	婚介业	65536	115833	3	{j=0}
-103181	婚姻法	65536	118697	3	{n=0}
-103182	义肢	65536	20041	3	{n=0}
-103183	可怜虫	65536	131033	3	{n=0}
-103184	亲水	65562	20146	1	null
-103185	令郎	65536	20196	3	{n=0}
-103186	婉丽	65536	23113	3	{z=0}
-103187	姘妇	65536	23000	3	{n=0}
-103188	婚纱照	65536	128095	3	{n=0}
-103189	婢女	65536	23138	3	{n=0}
-103190	块根	65536	22359	3	{n=0}
-103191	塑料布	65536	104727	3	{n=2}
-103192	从前	65536	20174	3	{t=5}
-103193	互补	65559	20114	2	{v=19, vn=2}
-103194	婴儿期	65536	103195	3	{n=1}
-103195	婴儿	76795	23156	2	{n=21}
-103196	妹婿	65536	22969	3	{n=0}
-103197	壬午	65536	22764	3	{m=0}
-103198	婴幼儿	65536	106584	3	{n=6}
-103199	势态	65536	21183	3	{n=0}
-103200	剧团	65536	21095	3	{n=42}
-103201	婵娟	65536	23157	3	{n=0}
-103202	婺城区	65536	104740	3	{ns=0}
-103203	婺源县	65536	110566	3	{ns=0}
-103204	媒体化	65536	103446	3	{v=2}
-103205	媲美	65536	23218	3	{v=2}
-103206	天下大	80316	148251	1	null
-103207	媳妇	65536	23219	3	{n=8}
-103208	媾和	65536	23230	3	{v=1}
-103209	天下太	76220	148251	1	null
-103210	培养液	65536	98906	3	{n=0}
-103211	分子论	65536	125596	3	{n=0}
-103212	停车费	65536	120100	3	{n=7}
-103213	奎屯	65536	22862	3	{n=0}
-103214	劈杀	65536	21128	3	{vn=0}
-103215	嫁祸于	83064	114596	1	null
-103216	妻儿	69463	22971	1	null
-103217	媚俗	65536	23194	3	{a=1, an=0}
-103218	嫁祸于人	65536	103215	3	{i=1}
-103219	嫂夫人	65536	103332	3	{n=0}
-103220	嫉恶如	83054	104997	1	null
-103221	嫉恶如仇	65536	103220	3	{i=0}
-103222	坠机	65536	22368	3	{n=0, vn=1}
-103223	嫉贤妒	70204	116435	1	null
-103224	储藏	65612	20648	2	{v=3, vn=2}
-103225	嫉贤妒能	65536	103223	3	{i=0}
-103226	免开	65585	20813	1	null
-103227	嫌疑人	65536	112003	3	{n=55}
-103228	唐人	65600	21776	1	null
-103229	余可	65539	20313	1	null
-103230	使眼	65549	20351	1	null
-103231	下泄	65536	19979	3	{v=0}
-103232	嫔妃	65536	23252	3	{n=0}
-103233	嫉妒	65536	23241	3	{v=1}
-103234	大气层	65536	156078	3	{n=4}
-103235	婶娘	65536	23158	3	{n=0}
-103236	壬卯	65536	22764	3	{m=0}
-103237	嫡长子	65536	121459	3	{n=0}
-103238	厉行节约	65536	99340	3	{i=8}
-103239	促进	66423	20419	2	{v=431, vn=14}
-103240	付讫	65536	20184	3	{v=0}
-103241	嫣然一	71737	103245	1	null
-103242	嫣然一笑	65536	103241	3	{i=0}
-103243	原始群	65536	125790	3	{n=0}
-103244	嫦娥	65536	23270	3	{n=0}
-103245	嫣然	83273	23267	2	{z=0}
-103246	嫩生生	65536	111998	3	{z=0}
-103247	嫩黄色	65536	122659	3	{n=1}
-103248	世贸	65545	19990	2	{j=12}
-103249	嬉皮士	65536	108615	3	{n=0}
-103250	二战	65536	20108	3	{j=11, n=0}
-103251	列强	65536	21015	3	{n=1}
-103252	嬉皮笑脸	65536	111991	3	{i=0}
-103253	奥里诺	70069	124923	1	null
-103254	嫖娼	65536	23254	3	{v=0, vn=1}
-103255	做官	65536	20570	3	{v=1}
-103256	嬉笑怒	65600	109738	1	null
-103257	嬗变	65536	23319	3	{v=1, vn=0}
-103258	为辅	65536	20026	3	{v=4}
-103259	嬷嬷	65536	23351	3	{n=0}
-103260	冻肉	65536	20923	3	{n=0}
-103261	子丑寅	81907	130661	1	null
-103262	大中小	79400	148423	2	{b=1, j=0}
-103263	占有量	65536	106246	3	{n=8}
-103264	不像	65538	19981	1	null
-103265	做客	65536	20570	3	{v=7}
-103266	子丑寅卯	65536	103261	3	{l=0}
-103267	子公司	65536	131520	3	{n=13}
-103268	奋力	65536	22859	3	{d=23}
-103269	唐代	65536	21776	3	{t=1}
-103270	子午卯酉	65536	104509	3	{l=0}
-103271	吞并	65536	21534	3	{v=0, vn=0}
-103272	子子孙	79889	134052	1	null
-103273	太平天	78684	119957	1	null
-103274	子子孙孙	65536	103272	3	{n=0}
-103275	国际公法	65536	105560	3	{l=0, n=0}
-103276	列当	65536	21015	3	{n=0}
-103277	子孙万代	65536	103290	3	{l=0}
-103278	再有	65536	20877	3	{c=1}
-103279	子孙后代	65536	104833	3	{n=3}
-103280	子宫癌	65536	134143	3	{n=0}
-103281	婶婆	65536	23158	3	{n=0}
-103282	子弹箱	65536	135053	3	{n=0}
-103283	从动	65536	20174	3	{b=1}
-103284	历尽	65568	21382	2	{v=2}
-103285	子目录	65536	141122	3	{n=0}
-103286	下泻	65536	19979	3	{v=1}
-103287	倚赖	65587	20506	2	{v=0}
-103288	剧场	65536	21095	3	{n=20}
-103289	二房	66110	20108	2	{n=0}
-103290	子孙万	83082	134061	1	null
-103291	子程序	65536	141919	3	{n=0}
-103292	交互	65539	20132	2	{b=1, d=1, v=1}
-103293	媒人	65536	23186	3	{n=0}
-103294	嫌厌	65536	23244	3	{v=0}
-103295	交井	65536	20132	3	{v=1}
-103296	勇救	65536	21191	3	{v=1}
-103297	历届	65536	21382	3	{b=8, r=1}
-103298	子系统	65536	142671	3	{n=0}
-103299	子虚乌	76923	145070	1	null
-103300	子虚乌有	65536	103299	3	{i=0}
-103301	二手	65548	20108	2	{b=3}
-103302	姜农	65536	23004	3	{n=0}
-103303	临终	65536	20020	3	{v=3, vn=1}
-103304	子项目	65536	149709	3	{n=1}
-103305	各显神	65553	127750	1	null
-103306	北海道	65536	130088	3	{ns=5}
-103307	孑孓	65536	23377	3	{n=0}
-103308	好事得	65536	141894	3	{nz=0}
-103309	孑然一	66791	108910	1	null
-103310	媒介	65536	23186	3	{n=34}
-103311	大礼拜	65536	159446	3	{t=0}
-103312	奋勇	81047	22859	2	{d=8}
-103313	勇敢	65536	21191	3	{a=14, ad=1, an=4}
-103314	孑然一身	65536	103309	3	{i=0}
-103315	发送者	65536	144985	3	{n=0}
-103316	填充	68563	22635	2	{v=1, vn=0}
-103317	付诸	66244	20184	2	{v=1}
-103318	借光	65536	20511	3	{v=0}
-103319	孔孟之	66373	105770	1	null
-103320	孔孟之道	65536	103319	3	{n=0}
-103321	姜冯	68995	23004	1	null
-103322	孔明灯	65536	108505	3	{n=0}
-103323	孔雀店村	65536	103331	3	{ns=0}
-103324	奥斯威	65905	113630	1	null
-103325	产生	65536	20135	3	{v=251, vn=7}
-103326	咖啡因	65536	94507	3	{n=1}
-103327	合成石	65632	131877	1	null
-103328	代理配	65537	104979	1	null
-103329	婶婶	65536	23158	3	{n=0}
-103330	交易量	65536	109309	3	{n=5}
-103331	孔雀店	76874	120971	1	null
-103332	嫂夫	83065	23234	1	null
-103333	塑性	65536	22609	3	{n=0}
-103334	嫡亲	65536	23265	3	{b=0}
-103335	孕产妇	65536	104995	3	{j=2}
-103336	嬉戏	65536	23305	3	{v=6, vn=0}
-103337	增长率	65536	143399	3	{n=62}
-103338	孕激素	65536	113468	3	{n=0}
-103339	咖啡园	65536	94507	3	{n=9}
-103340	圈椅	65536	22280	3	{n=0}
-103341	乡贤	65536	20065	3	{n=0}
-103342	叔祖	65563	21460	2	{n=0}
-103343	凉台	65536	20937	3	{n=0}
-103344	两败	65542	20004	1	null
-103345	孕穗期	65536	116179	3	{t=0}
-103346	借入	65536	20511	3	{v=2, vn=0}
-103347	免役	65536	20813	3	{v=0}
-103348	优礼	65691	20248	1	null
-103349	农民起	67917	119257	1	null
-103350	启事	65536	21551	3	{n=3}
-103351	友谊赛	65536	116015	3	{n=0}
-103352	子午仪	65536	131996	3	{n=0}
-103353	下派	65536	19979	3	{v=1}
-103354	冀西	65536	20864	3	{ns=0}
-103355	免征	65536	20813	3	{v=7}
-103356	下流	65537	19979	2	{a=0, s=0}
-103357	婺剧	65536	23162	3	{n=0}
-103358	字字句	81883	128630	1	null
-103359	写本	65536	20889	3	{n=0}
-103360	字字句句	65536	103358	3	{n=1}
-103361	余味	65536	20313	3	{n=0}
-103362	交付	65536	20132	3	{v=16, vn=2}
-103363	字斟句	66171	131262	1	null
-103364	二把	65553	20108	1	null
-103365	兼及	65536	20860	3	{v=0}
-103366	勇斗	65536	21191	3	{v=1}
-103367	字斟句酌	65536	103363	3	{i=0}
-103368	字正腔	81094	132738	1	null
-103369	停下	65536	20572	3	{v=4}
-103370	太上老	79414	115756	1	null
-103371	另眼	65602	21478	1	null
-103372	字正腔圆	65536	103368	3	{i=1}
-103373	交代	65536	20132	3	{v=4, vn=0}
-103374	字段名	65536	132820	3	{n=0}
-103375	字母表	65536	132844	3	{n=0}
-103376	字纸篓	65536	137687	3	{n=0}
-103377	免得	65536	20813	3	{v=3}
-103378	字符串	65536	136773	3	{n=0}
-103379	克丝	65537	20811	1	null
-103380	字里行	66098	142571	1	null
-103381	十三辙	65536	113334	3	{n=0}
-103382	存亡未	82045	121350	1	null
-103383	商业性	65536	127190	3	{n=2}
-103384	停业	65536	20572	3	{v=8, vd=0, vn=0}
-103385	存亡未卜	65536	103382	3	{i=0}
-103386	不光	65536	19981	3	{c=7, d=1}
-103387	存储器	65536	121869	3	{n=0}
-103388	存在论	65536	123533	3	{n=1}
-103389	存小异	65536	124788	3	{i=0}
-103390	不免	65536	19981	3	{d=11}
-103391	劫狱	65536	21163	3	{vn=1}
-103392	存放在	65536	127139	3	{v=0}
-103393	从化	65601	20174	1	null
-103394	劈柴	65536	21128	3	{n=0, v=0}
-103395	供用	65559	20379	1	null
-103396	存栏数	65536	127860	3	{n=0}
-103397	储油量	65536	96802	3	{n=0}
-103398	存活率	65536	129184	3	{n=1}
-103399	存瑞乡	65536	131011	3	{ns=0}
-103400	填写	65536	22635	3	{v=6, vn=0}
-103401	下浮	65536	19979	3	{v=5}
-103402	存而不	67634	134001	1	null
-103403	壮志未	65537	115642	1	null
-103404	存而不论	65536	103402	3	{i=0}
-103405	妹子	65536	22969	3	{n=9}
-103406	存贮器	65536	137363	3	{n=0}
-103407	俯贻	65536	20463	3	{v=1}
-103408	供电	65553	20379	2	{j=0, v=10, vn=18}
-103409	侠辣	65536	20384	3	{n=0}
-103410	下海	65536	19979	3	{v=4, vn=0}
-103411	存贷款	65536	137372	3	{j=1}
-103412	存车处	65536	137931	3	{n=0}
-103413	孙中山	65536	105680	3	{nr=6}
-103414	不入	65539	19981	1	null
-103415	孙女婿	65536	108566	3	{n=0}
-103416	孙媳妇	65536	108886	3	{n=0}
-103417	孙悟空	65536	110402	3	{nr=1}
-103418	卸磨	65952	21368	1	null
-103419	孙男嫡	80521	115674	1	null
-103420	孙男嫡女	65536	103419	3	{i=1}
-103421	不公	65536	19981	3	{a=2, an=2}
-103422	孜孜	83442	23388	1	null
-103423	孜孜不	82914	103422	1	null
-103424	交通部	65541	120068	2	{n=0, nt=11}
-103425	二拇	65540	20108	1	null
-103426	不共	65536	19981	1	null
-103427	其时	65536	20854	3	{r=1}
-103428	交会	65536	20132	3	{v=0}
-103429	公开赛	65536	120273	3	{n=13, vn=0}
-103430	从医	65536	20174	3	{v=1}
-103431	偏信	65536	20559	3	{v=0}
-103432	孜孜不倦	65536	103423	3	{i=2}
-103433	人民路	65536	116760	3	{ns=2}
-103434	孜孜以求	65536	103639	3	{l=1}
-103435	孝子贤	80051	108954	1	null
-103436	孝子贤孙	65536	103435	3	{i=0}
-103437	加油车	65536	125496	3	{n=0}
-103438	孝感市	65536	110441	3	{ns=1}
-103439	太白星	65536	126111	3	{n=0}
-103440	孝文帝	65536	111569	3	{n=0}
-103441	孟什维	82632	104881	1	null
-103442	偷合	65538	20599	1	null
-103443	孟什维克	65536	103441	3	{n=0}
-103444	嫡传	65536	23265	3	{v=0}
-103445	孟加拉	83297	105873	2	{n=1, ns=0}
-103446	媒体	81934	23186	2	{n=102}
-103447	孟加拉人民	82599	103451	1	null
-103448	孟加拉人民共	81805	103447	1	null
-103449	孟加拉人民共和	81184	103448	1	null
-103450	基础教	65811	136125	1	null
-103451	孟加拉人	75782	103445	1	null
-103452	冗词	65536	20887	2	{n=0}
-103453	孟加拉人民共和国	65536	103449	3	{ns=0}
-103454	不再	65536	19981	3	{d=92, v=0}
-103455	孟姜女	65536	107725	3	{nr=0}
-103456	加速运	67602	134558	1	null
-103457	保险费	65581	125494	2	{n=0}
-103458	妒忌	77653	22930	2	{v=0}
-103459	充电	65541	20805	2	{v=7, vn=1}
-103460	哗然	65536	21719	3	{z=0}
-103461	孟山都	65536	108386	3	{nz=0}
-103462	劳动力	65536	109156	3	{n=42}
-103463	兼听	66702	20860	1	null
-103464	奋发图	76779	103578	1	null
-103465	仰赖	65536	20208	3	{v=0}
-103466	孟良崮	65536	118112	3	{ns=6}
-103467	孟菲斯	79407	118499	1	null
-103468	凶吉	65541	20982	1	null
-103469	大安山	79795	151843	1	null
-103470	博览群	70982	122436	1	null
-103471	存款人	65536	128675	3	{n=1}
-103472	侧目	65605	20391	1	null
-103473	孟菲斯市	65536	103467	3	{ns=0}
-103474	孢子	81267	23394	2	{n=0}
-103475	充畅	65536	20805	3	{a=0}
-103476	孢子植物	65536	108160	3	{n=1}
-103477	咨询点	65536	104336	3	{n=1}
-103478	偷听	65536	20599	3	{v=0}
-103479	乳罩	65536	20083	3	{n=0}
-103480	优秀	65569	20248	2	{a=233, ad=0, an=0, z=0}
-103481	呆板	65536	21574	3	{a=1}
-103482	伊犁	65536	20234	3	{ns=0}
-103483	季朗村	65536	109134	3	{ns=0}
-103484	右手	65536	21491	3	{n=7}
-103485	孢子囊	65536	103474	3	{n=0}
-103486	例证	65536	20363	3	{n=3}
-103487	季节洄游	65536	108612	3	{l=0}
-103488	季风气候	65536	106542	3	{l=1}
-103489	季风性	65536	121861	3	{n=0}
-103490	占居	65536	21344	3	{v=0}
-103491	孤军作	78387	121066	1	null
-103492	天真烂	72250	158767	1	null
-103493	优种	65536	20248	3	{b=0, n=1}
-103494	何物	65536	20309	3	{r=2}
-103495	借出	65536	20511	3	{v=0}
-103496	不冷	65733	19981	1	null
-103497	十字街	66618	116740	1	null
-103498	孤儿寡	80583	120974	1	null
-103499	孤军作战	65536	103491	3	{i=0}
-103500	不冻	65536	19981	1	null
-103501	借刀	65672	20511	1	null
-103502	孤儿寡妇	65536	103498	3	{i=0}
-103503	啧啧称	65598	95052	1	null
-103504	哑炮	65536	21713	3	{n=0}
-103505	好好坏	79576	144696	1	null
-103506	孤军奋战	65536	106034	3	{i=0}
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-103508	孤家寡	83356	123653	1	null
-103509	嫩叶	65536	23273	3	{n=3}
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-103511	不准	65536	19981	3	{d=2, v=35, vd=1}
-103512	孤寡老	83360	123696	1	null
-103513	冒昧	65536	20882	3	{a=0}
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-103515	孤注一	77989	128055	1	null
-103516	孤注一掷	65536	103515	3	{i=0}
-103517	压力表	65536	113242	3	{n=0}
-103518	优惠酬	65539	97112	1	null
-103519	孤独感	65536	129595	3	{n=0}
-103520	不减	65538	19981	1	null
-103521	孤立无援	65536	103522	3	{i=1}
-103522	孤立无	77933	131610	1	null
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-103524	孤芳自	67351	133634	1	null
-103525	停产	65536	20572	3	{v=14, vn=7}
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-103527	孤苦伶	83560	133685	1	null
-103528	孤行己	68266	135067	1	null
-103529	孤苦伶丁	65536	103527	3	{i=0}
-103530	保护神	65536	112241	3	{n=1}
-103531	孤行己见	65536	103528	3	{i=0}
-103532	便宜	65574	20415	2	{a=23, an=1, v=2, vn=0}
-103533	孤身一	83382	136698	1	null
-103534	吐字	65536	21520	3	{v=1}
-103535	头昏脑	72950	138952	1	null
-103536	孤身一人	65536	103533	3	{l=0}
-103537	孤陋寡	66100	138650	1	null
-103538	不凡	65536	19981	3	{z=10}
-103539	孤雌生	76002	138779	1	null
-103540	商品房	65536	128893	3	{n=23}
-103541	偏偏	65536	20559	3	{d=3}
-103542	克什	65551	20811	1	null
-103543	事物	65536	20107	3	{n=30}
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-103545	学以致	73557	140215	1	null
-103546	严酷	65547	20005	2	{a=2, an=1}
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-103548	以便	65536	20197	3	{c=6, d=37}
-103549	学以致用	65536	103545	3	{i=1}
-103550	地学界	65536	139717	3	{n=0}
-103551	割爱	65536	21106	3	{v=0, vn=0}
-103552	买账	65536	20080	3	{v=0}
-103553	学位办	65536	140319	3	{j=1}
-103554	学分制	65536	141016	3	{n=0}
-103555	学到老	65536	141058	3	{i=0}
-103556	便宴	65536	20415	3	{n=0}
-103557	学前教育	65536	104517	3	{l=1}
-103558	吴淞	72649	21556	1	null
-103559	学徒工	65536	144484	3	{n=0}
-103560	一针	65605	19968	2	{j=1}
-103561	双百方针	65536	91855	3	{nz=2}
-103562	七星针	65536	91779	3	{n=0}
-103563	不出	65539	19981	1	null
-103564	回形针	65536	135010	3	{n=0}
-103565	垫底	65536	22443	3	{v=0, vn=0}
-103566	大政方针	65536	100019	3	{n=8}
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-103568	学无止	80910	146098	1	null
-103569	学无止境	65536	103568	3	{i=0, l=3}
-103570	嗜欲	65536	21980	3	{n=0}
-103571	学术团体	65536	103597	3	{n=2}
-103572	学有专	65617	146395	1	null
-103573	学杂费	65536	146452	3	{n=8}
-103574	学有所成	65536	108737	3	{l=2}
-103575	不分	65536	19981	1	null
-103576	不切	65540	19981	1	null
-103577	乳酸钙	65536	108102	3	{n=0}
-103578	奋发	81194	22859	2	{v=3, vd=0, vn=0}
-103579	娃儿	65536	23043	3	{n=4}
-103580	学海无	75502	148041	1	null
-103581	学海无涯	65536	103580	3	{i=0}
-103582	学科群	65536	151203	3	{n=0}
-103583	世纪钟	65536	99522	3	{n=5}
-103584	一见钟	65538	100801	1	null
-103585	倒挂金钟	65536	102893	3	{n=0}
-103586	不锈钢	65541	120729	2	{n=3}
-103587	中碳钢	65536	116103	3	{n=0}
-103588	低碳钢	65536	116379	3	{n=0}
-103589	倒计时钟	65536	91726	3	{n=4}
-103590	做一天和尚撞一天钟	65536	88486	3	{i=0}
-103591	一发千钧	65536	86852	3	{i=0}
-103592	不列	65536	19981	1	null
-103593	叶利钦	65536	108323	3	{nr=74}
-103594	合金钢	65536	144102	3	{n=0}
-103595	坩埚钢	65536	97374	3	{n=0}
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-103597	学术团	83264	146433	1	null
-103598	农工贸	65536	115629	3	{j=1}
-103599	从古	65541	20174	1	null
-103600	从句	65536	20174	3	{n=0}
-103601	一钱	65593	19968	1	null
-103602	云石	65536	20113	3	{n=0}
-103603	下游	65536	19979	3	{f=4, n=3, s=0}
-103604	克丝钳	65759	103379	1	null
-103605	内卡钳	65536	118783	3	{n=0}
-103606	印子钱	65536	115714	3	{n=0}
-103607	压岁钱	65536	115776	3	{n=6}
-103608	学生会	65536	150001	3	{n=2}
-103609	学究气	65536	151368	3	{n=0}
-103610	不利	65605	19981	2	{a=46, ad=0, v=0}
-103611	学者型	65536	152791	3	{b=1, n=4}
-103612	嫖客	65536	23254	3	{n=0}
-103613	学而不厌	65536	104513	3	{i=0}
-103614	学而优则	83434	104780	1	null
-103615	学而优则仕	65536	103614	3	{i=0}
-103616	学部委	82039	157114	1	null
-103617	不到	65536	19981	3	{v=0}
-103618	人造磁铁	65536	97148	3	{l=0}
-103619	付账	65536	20184	3	{v=0}
-103620	单线铁	65568	136135	1	null
-103621	单轨铁	65569	140400	1	null
-103622	可锻铸铁	65536	103672	3	{l=0}
-103623	声如银铃	65536	108137	3	{l=0}
-103624	三级	65536	19977	2	{b=11}
-103625	三角铁	65536	106483	3	{n=0}
-103626	大渡桥横铁	68120	100151	1	null
-103627	婆婆嘴	65536	105779	3	{n=0}
-103628	大河家	80067	156237	1	null
-103629	共勉	65536	20849	3	{v=4}
-103630	亚热	65552	20122	1	null
-103631	学部委员	65536	103616	3	{n=2}
-103632	严重	65548	20005	2	{a=240, ad=98, an=1}
-103633	东环	65543	19996	1	null
-103634	季军	65536	23395	3	{n=0}
-103635	三纲	65547	19977	1	null
-103636	剖视	66397	21078	1	null
-103637	卓著	65536	21331	3	{a=10}
-103638	付费	65536	20184	3	{v=1, vn=0}
-103639	孜孜以	75720	103422	1	null
-103640	哑然	71848	21713	2	{z=0}
-103641	价轻	65597	20215	1	null
-103642	契友	65536	22865	3	{n=0}
-103643	命令状	65536	105299	3	{n=0}
-103644	剧增	65536	21095	3	{v=5, vn=0}
-103645	塌方	65536	22604	3	{v=1, vn=1}
-103646	学龄儿	72186	160854	1	null
-103647	学龄儿童	65536	103646	3	{n=1}
-103648	三线	65536	19977	3	{j=1}
-103649	孩儿	65536	23401	3	{n=1}
-103650	孪井	75259	23402	1	null
-103651	养伤	65536	20859	3	{v=0}
-103652	孪井滩	65536	103650	3	{ns=0}
-103653	俗话	65574	20439	2	{n=0}
-103654	嫁人	65536	23233	3	{v=0}
-103655	交通量	65536	120068	3	{n=0}
-103656	孪生子	65536	113516	3	{n=0}
-103657	孬种	65536	23404	3	{n=0}
-103658	大众报	65536	148657	3	{n=0}
-103659	孰料	65536	23408	3	{v=1}
-103660	孰能无	78893	110671	1	null
-103661	刻骨铭	65738	119245	1	null
-103662	亮铮铮	65536	104467	3	{z=0}
-103663	可亲可近	65536	92807	3	{l=1}
-103664	墓志铭	65536	109662	3	{n=0}
-103665	剖解	65536	21078	3	{v=0}
-103666	孰能无情	65536	103660	3	{l=0}
-103667	佐野	65536	20304	3	{nr=0}
-103668	三结	65538	19977	1	null
-103669	俗语	65536	20439	3	{n=1}
-103670	借助	66723	20511	2	{v=18}
-103671	孱弱	65536	23409	3	{a=1}
-103672	可锻铸	65541	144632	1	null
-103673	孳生	65536	23411	3	{v=0}
-103674	中国人民银	65545	93203	1	null
-103675	孵卵器	65536	104829	3	{n=0}
-103676	孺子	82190	23418	2	{n=0}
-103677	孺子可	77750	103676	1	null
-103678	子母弹	65536	138273	3	{n=0}
-103679	具象	65536	20855	3	{a=0, n=0}
-103680	一笔勾销	65536	86783	3	{i=0}
-103681	产供销	65536	93721	3	{j=4}
-103682	产加销	65536	94494	3	{j=0}
-103683	供产销	65536	93538	3	{j=0}
-103684	以假	66394	20197	1	null
-103685	一锅	65537	19968	1	null
-103686	一品锅	65536	87233	3	{n=0}
-103687	不粘锅	65536	114473	3	{n=0}
-103688	包购包销	65536	88869	3	{l=0}
-103689	名缰利锁	65536	93812	3	{i=0}
-103690	佛罗里	65541	109227	1	null
-103691	卫国先锋	65564	91119	1	null
-103692	以偏	65537	20197	1	null
-103693	修车铺	65536	115549	3	{n=0}
-103694	信息论	65536	111589	3	{n=1}
-103695	孺子可教	65536	103677	3	{i=0}
-103696	养精蓄锐	65536	99524	3	{i=0}
-103697	剪刀	65933	21098	2	{n=1}
-103698	休耕	65559	20241	1	null
-103699	依存链	65536	96365	3	{n=0}
-103700	匿迹销	66674	104779	1	null
-103701	三维	65542	19977	2	{m=0, n=0, nz=0}
-103702	子弟书	65536	135027	3	{n=0}
-103703	契合	65536	22865	3	{v=0, vn=0}
-103704	剪切	67532	21098	2	{vn=0}
-103705	一差二错	65536	85646	3	{i=0}
-103706	冤假错	65543	91009	1	null
-103707	中药铺	65536	118851	3	{n=0}
-103708	决定论	65536	103113	3	{n=6}
-103709	卡塔赫	65750	114028	1	null
-103710	大错特错	65536	100320	3	{i=0}
-103711	孽种	65536	23421	3	{n=0}
-103712	宁为玉	72852	109136	1	null
-103713	偏僻	65536	20559	3	{a=9}
-103714	宁为玉碎	65536	103712	3	{i=0}
-103715	垦殖	75137	22438	1	null
-103716	一锤	65540	19968	1	null
-103717	三缄	65547	19977	1	null
-103718	伊都锦	65536	111286	3	{nz=0}
-103719	前程似锦	65536	88658	3	{i=1, l=0}
-103720	十样锦	65536	120036	3	{n=0}
-103721	华章锦	65692	127529	1	null
-103722	刁钻	66702	20993	2	{a=0, an=1}
-103723	孤苦伶仃	65536	103527	3	{i=0}
-103724	不力	65536	19981	3	{a=19, an=0, d=1}
-103725	万应锭	65536	89864	3	{n=0}
-103726	共价键	65536	102651	3	{n=0}
-103727	分光计	65536	123029	3	{n=0}
-103728	嘎登	65536	22030	3	{o=0}
-103729	回车键	65536	147302	3	{n=0}
-103730	不务	65542	19981	1	null
-103731	宁乡县	65536	109175	3	{ns=4}
-103732	四季豆	65536	133319	3	{n=1}
-103733	宁冈县	65536	109982	3	{ns=0}
-103734	宁国市	65536	111379	3	{ns=1}
-103735	宁城县	65536	111588	3	{ns=1}
-103736	候补键	65536	100765	3	{n=0}
-103737	不动	65583	19981	1	null
-103738	学习热	65536	140082	3	{n=0}
-103739	嫂嫂	65536	23234	3	{n=4}
-103740	发言稿	65536	143448	3	{n=0}
-103741	合作社	65536	127089	3	{n=18}
-103742	宁德市	65536	113613	3	{ns=0}
-103743	君王	65536	21531	3	{n=0}
-103744	宁晋县	65536	115297	3	{ns=0}
-103745	季刊	65536	23395	3	{n=0}
-103746	嘻皮	65571	22075	1	null
-103747	宁死不	80126	116625	1	null
-103748	不劳	65549	19981	1	null
-103749	咬文	72311	21676	1	null
-103750	宁死不屈	65536	103747	3	{i=0}
-103751	万埠镇	65536	88148	3	{ns=0}
-103752	万宝镇	65536	89105	3	{ns=0}
-103753	三仙湖镇	65536	93782	3	{ns=0}
-103754	下汤镇	65536	103135	3	{ns=0}
-103755	下花桥镇	65536	92262	3	{ns=0}
-103756	下滑	65536	19979	3	{v=25, vn=7}
-103757	东圃镇	65536	96293	3	{ns=0}
-103758	东宋镇	65536	97453	3	{ns=0}
-103759	东江镇	65536	101761	3	{ns=0}
-103760	两河镇	65536	95038	3	{ns=0}
-103761	中沙镇	65536	113005	3	{ns=2}
-103762	中韩镇	65536	124093	3	{ns=2}
-103763	丰乐镇	65536	86835	3	{ns=2}
-103764	东阳镇	65536	112469	3	{ns=0}
-103765	乡乡镇	65552	87274	1	null
-103766	丁字镐	65536	88998	3	{n=0}
-103767	乡乡镇镇	65536	103765	3	{n=1}
-103768	五塘镇	65536	107020	3	{ns=0}
-103769	井岸镇	65536	91602	3	{ns=0}
-103770	利港镇	65536	117190	3	{ns=0}
-103771	三缺	65667	19977	1	null
-103772	三棱镜	65536	98066	3	{n=0}
-103773	会聚透镜	65536	102415	3	{n=0}
-103774	偏光镜	65536	103791	3	{n=0}
-103775	俯身	65536	20463	3	{v=2}
-103776	养目镜	65536	113837	3	{n=0}
-103777	内窥镜	65536	128835	3	{n=0}
-103778	凸透镜	65536	104652	3	{n=0}
-103779	凸面镜	65536	106527	3	{n=0}
-103780	凹透镜	65536	104461	3	{n=0}
-103781	凹面镜	65536	106336	3	{n=0}
-103782	华埠镇	65536	118569	3	{ns=0}
-103783	华石镇	65536	126780	3	{ns=0}
-103784	健硕	65536	20581	3	{a=1}
-103785	加班费	65536	127340	3	{n=0}
-103786	南兴镇	65536	123944	3	{ns=0}
-103787	南化塘镇	65536	90929	3	{ns=0}
-103788	南塘镇	65536	125708	3	{ns=0}
-103789	南岚镇	65536	126798	3	{ns=0}
-103790	南沈灶镇	65536	94332	3	{ns=0}
-103791	偏光	65538	20559	2	{n=0}
-103792	南沱镇	65536	130917	3	{ns=0}
-103793	南浔镇	65536	131080	3	{ns=0}
-103794	再植	65536	20877	3	{v=0}
-103795	分色镜	65536	135614	3	{n=0}
-103796	分道扬镳	65536	90750	3	{i=0}
-103797	劲舞	65536	21170	3	{v=1}
-103798	举起	65536	20030	3	{v=5}
-103799	匹配	65536	21305	3	{v=0, vn=0}
-103800	傻瓜	65568	20667	2	{n=0}
-103801	博望镇	65536	113559	3	{ns=0}
-103802	卡瓦莱塞镇	65536	91086	3	{ns=0}
-103803	厉庄镇	65536	94699	3	{ns=0}
-103804	县乡镇	65536	109941	3	{n=0}
-103805	双港镇	65536	131975	3	{ns=0}
-103806	发散透镜	65536	102419	3	{l=0}
-103807	一技之长	65536	85590	3	{i=0}
-103808	一无所长	65536	90689	3	{i=0}
-103809	不管部长	65536	102929	3	{n=1}
-103810	中队长	65536	123635	3	{n=2}
-103811	事务部长	65536	103166	3	{n=2}
-103812	交通部长	65536	103424	3	{n=3}
-103813	代市长	65536	99343	3	{n=2}
-103814	代部长	65536	112373	3	{n=1}
-103815	书记长	65536	119573	3	{n=1}
-103816	儿女情长	65536	90319	3	{i=0}
-103817	党小组长	65536	98064	3	{n=1}
-103818	兄长	65536	20804	3	{n=4}
-103819	佣金	65536	20323	3	{n=0}
-103820	公安局长	65536	91069	3	{n=3}
-103821	万里长	65537	102976	1	null
-103822	万古长	65539	87128	1	null
-103823	了无长	65536	92211	1	null
-103824	内政部长	65536	102655	3	{n=12}
-103825	军事部长	65536	107054	3	{n=1}
-103826	分局长	65536	125836	3	{n=1}
-103827	乐章	65536	20048	3	{n=4}
-103828	出生证	65536	131145	3	{n=0}
-103829	凉嗖	66099	20937	1	null
-103830	分队长	65536	140651	3	{n=0}
-103831	博采众长	65536	91053	3	{i=0}
-103832	卫生部长	65536	123390	3	{n=7}
-103833	偏关	65536	20559	3	{ns=0}
-103834	与世长	65538	85858	1	null
-103835	卫队长	65536	113322	3	{n=0}
-103836	参谋长	65536	127460	3	{n=10}
-103837	变色镜	65536	134269	3	{n=0}
-103838	中小银	65550	108771	1	null
-103839	发展社	72226	131757	1	null
-103840	台怀镇	65536	128659	3	{ns=0}
-103841	司务长	65536	106625	3	{n=2}
-103842	为重	65536	20026	3	{v=21}
-103843	司门前镇	65536	92933	3	{ns=0}
-103844	做工	65536	20570	3	{n=1, v=3}
-103845	周城镇	65536	122086	3	{ns=0}
-103846	哈拉弋拉科镇	65536	96760	3	{ns=0}
-103847	固墙镇	65536	108446	3	{ns=0}
-103848	国防部长	65536	113006	3	{n=66}
-103849	土生土长	65536	96626	3	{i=1}
-103850	及至	65536	21450	3	{p=1}
-103851	历年	65916	21382	2	{n=10}
-103852	地久天长	65536	96951	3	{i=0}
-103853	主业	65536	20027	3	{n=16}
-103854	乱腾	65540	20081	2	{a=0}
-103855	三美	65536	19977	3	{nz=0}
-103856	向阳镇	65536	123467	3	{ns=0}
-103857	均安镇	65536	101929	3	{ns=1}
-103858	举足	65537	20030	1	null
-103859	地球村	65536	146018	3	{n=5}
-103860	咖啡壶	65536	94507	3	{n=0}
-103861	光电钟	65536	120756	3	{n=0}
-103862	充盈	65536	20805	3	{v=1, vn=0}
-103863	城厢镇	65536	123886	3	{ns=0}
-103864	塘桥镇	65536	104390	3	{ns=0}
-103865	复隆镇	65536	150923	3	{ns=0}
-103866	外交部长	65536	113997	3	{n=39}
-103867	大营子镇	65536	100252	3	{ns=0}
-103868	太阳眼镜	65536	121282	3	{n=0}
-103869	埋怨	65536	22475	3	{v=2, vn=0}
-103870	奈良市	65536	114218	3	{ns=0}
-103871	好景不长	65536	101957	3	{i=0}
-103872	威舍镇	65536	125821	3	{ns=2}
-103873	优等	65573	20248	2	{b=1}
-103874	夏至草	65536	140629	3	{n=0}
-103875	以儆	65539	20197	1	null
-103876	乳胶	65536	20083	2	{n=0}
-103877	刚好	65536	21018	3	{d=3}
-103878	孙桥镇	65536	112392	3	{ns=0}
-103879	凝血	65543	20957	1	null
-103880	堆房	65536	22534	3	{n=0}
-103881	嫂子	65536	23234	3	{n=0}
-103882	叙事诗	65536	93093	3	{n=0}
-103883	刻度	65740	21051	2	{n=1}
-103884	妙趣横生	65536	102207	3	{i=3}
-103885	仰天长	65681	90108	1	null
-103886	大公府	65536	149254	3	{ns=0}
-103887	千分表	65536	115504	3	{n=0}
-103888	学有专长	65536	103572	3	{l=0}
-103889	姘居	65536	23000	3	{v=0}
-103890	回光镜	65536	131401	3	{n=0}
-103891	宁河县	65536	116937	3	{ns=0}
-103892	上税	65536	19978	3	{v=0}
-103893	宁波市	65536	116984	3	{n=1, ns=3}
-103894	宁津县	65536	117051	3	{ns=0}
-103895	侨资	65536	20392	3	{n=0}
-103896	孩子头	65536	106226	3	{n=0}
-103897	初露锋	65537	133307	1	null
-103898	大家庭	65536	151888	3	{n=19}
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-103900	主义	65536	20027	3	{n=8}
-103901	宁缺毋	75514	121680	1	null
-103902	串铃	65536	20018	3	{n=0}
-103903	宁缺毋滥	65536	103901	3	{i=0}
-103904	宁连路	65536	125940	3	{ns=2}
-103905	习近	65551	20064	1	null
-103906	不卑	65738	19981	1	null
-103907	宁都县	65536	126227	3	{ns=1}
-103908	它山之	73202	107979	1	null
-103909	它山之石	65536	103908	3	{i=0}
-103910	不单	65536	19981	3	{c=3, d=0}
-103911	地下水	65536	136298	3	{n=7}
-103912	一门	65540	19968	1	null
-103913	三座门	65536	95432	3	{ns=0}
-103914	上场门	65536	94976	3	{n=0}
-103915	不二法门	65536	93399	3	{i=0}
-103916	东华门	65536	95344	3	{ns=0}
-103917	东直门	65536	104470	3	{ns=6}
-103918	不耻下问	65536	85818	3	{i=0}
-103919	不闻不问	65536	85831	3	{i=0}
-103920	五花八门	65536	86444	3	{i=4}
-103921	亮闪闪	65536	104719	3	{z=0}
-103922	人事部门	65536	102730	3	{n=5}
-103923	倒插门	65536	110503	3	{l=0}
-103924	一夜间	65536	88348	3	{t=2}
-103925	一瞬间	65536	96172	3	{m=0, t=0}
-103926	三维空间	65536	96896	3	{l=0}
-103927	不知人间	65539	85974	1	null
-103928	亭子间	65536	89398	3	{n=0}
-103929	亲密无间	65536	91655	3	{i=1}
-103930	人世间	65536	109085	3	{n=0}
-103931	今古奇闻	65536	88428	3	{l=0}
-103932	伯仲之间	65536	86324	3	{i=0}
-103933	作息时间	65536	91712	3	{n=1}
-103934	乌篷	65537	20044	1	null
-103935	也门	65576	20063	2	{ns=1}
-103936	三通阀	65536	108091	3	{n=0}
-103937	亭台楼阁	65536	92542	3	{n=1}
-103938	仙山琼阁	65536	95292	3	{n=0}
-103939	侯门	65559	20399	1	null
-103940	不即	65740	19981	1	null
-103941	俯仰之间	65536	86797	3	{i=0}
-103942	倒轮闸	65536	121667	3	{n=0}
-103943	修成	65536	20462	3	{v=0}
-103944	充耳不闻	65536	87395	3	{i=0}
-103945	两面针	65536	105965	3	{nz=0}
-103946	以免	65536	20197	3	{c=9, v=1}
-103947	中山门	65536	108869	3	{ns=0}
-103948	光闪闪	65536	129129	3	{z=0}
-103949	入国问	65538	112924	1	null
-103950	全封闭	65549	115635	2	{b=3}
-103951	关禁闭	65536	116839	3	{v=0}
-103952	共同	67337	20849	2	{a=0, b=133, d=323}
-103953	凑热闹	65536	99964	3	{v=0}
-103954	书亭	65536	20070	3	{n=0}
-103955	出冷门	65536	122081	3	{l=1}
-103956	事理	65536	20107	3	{n=0}
-103957	一时间	65536	91638	3	{d=4, t=0}
-103958	分洪闸	65536	130166	3	{n=0}
-103959	刨根问	65714	95147	1	null
-103960	刹那间	65536	105348	3	{t=2}
-103961	内外资	65536	120244	3	{j=1}
-103962	停停	65544	20572	2	{v=0}
-103963	举世闻	65556	87573	1	null
-103964	三翻	65537	19977	1	null
-103965	不厌	65550	19981	1	null
-103966	劳动部门	65536	119411	3	{n=11}
-103967	中国银	65546	107473	1	null
-103968	仪仗队	65536	86521	3	{n=0}
-103969	举重队	65536	104908	3	{n=5}
-103970	三老	65538	19977	1	null
-103971	体工大队	65536	88465	3	{j=0}
-103972	先遣队	65536	123703	3	{n=0}
-103973	公安部队	65536	104549	3	{l=0}
-103974	三者	65536	19977	3	{r=4}
-103975	军宣队	65536	121343	3	{j=0}
-103976	决死队	65536	107178	3	{n=1}
-103977	刑警队	65536	110004	3	{n=0}
-103978	分水闸	65536	129920	3	{n=0}
-103979	别动队	65536	106607	3	{n=0}
-103980	劳改队	65536	113909	3	{n=0}
-103981	北洋军阀	65536	89399	3	{l=1}
-103982	南天门	65536	125917	3	{ns=0}
-103983	南营门	65592	136921	1	null
-103984	借口	65536	20511	3	{n=6, v=4}
-103985	借古	65556	20511	1	null
-103986	军民联防	65536	99925	3	{l=0}
-103987	以其	65538	20197	1	null
-103988	凸起	65536	20984	3	{v=0, vn=0}
-103989	一阵	65542	19968	2	{m=25}
-103990	丧钟	65536	20007	3	{n=0}
-103991	中产阶	65543	105339	1	null
-103992	军乐队	65536	117932	3	{n=0}
-103993	冲锋陷阵	65536	105033	3	{i=1}
-103994	主产	65591	20027	2	{v=0}
-103995	光敏电阻	65536	95590	3	{l=0}
-103996	八卦阵	65536	106586	3	{n=0}
-103997	产业链	65536	93336	3	{n=0}
-103998	偷嘴	65536	20599	3	{v=0}
-103999	击鼓督阵	65536	96100	3	{l=0}
-104000	上空	65536	19978	3	{f=0, n=0, s=18}
-104001	先锋队	65536	124895	3	{n=0}
-104002	以内	65536	20197	3	{f=12}
-104003	刚正不阿	65536	88261	3	{i=0}
-104004	两边	65539	20004	2	{f=1}
-104005	不切实际	65536	88994	3	{l=2}
-104006	一望无际	65536	91620	3	{i=2}
-104007	不着边际	65536	102332	3	{i=0}
-104008	乳腺	65538	20083	2	{n=0}
-104009	亚欧大陆	65543	88415	2	{n=0}
-104010	亢阳	65536	20130	3	{n=0}
-104011	偿还	65712	20607	2	{v=11, vn=1}
-104012	仿造	65536	20223	3	{v=3, vn=1}
-104013	主人	65575	20027	2	{n=51}
-104014	从天而降	65536	98360	3	{i=0}
-104015	从善	65541	20174	1	null
-104016	倾盆而降	65536	98440	3	{l=0}
-104017	光怪陆	65551	115369	1	null
-104018	免战	65546	20813	1	null
-104019	共产国际	65536	90133	3	{l=2}
-104020	刚直不阿	65536	88262	3	{i=0}
-104021	到来之际	65536	88602	3	{l=16}
-104022	交公	65536	20132	3	{v=1}
-104023	北普陀	65536	128287	3	{ns=2}
-104024	以军	65536	20197	3	{j=14}
-104025	主仆	65536	20027	3	{n=0}
-104026	亚特	65599	20122	1	null
-104027	不及	65536	19981	3	{v=4}
-104028	书价	65536	20070	3	{n=0}
-104029	互让	65536	20114	3	{v=0}
-104030	入境问	67078	113314	1	null
-104031	乒乓球队	65536	95237	3	{n=3}
-104032	厕所间	65536	91300	3	{n=0}
-104033	主从	65536	20027	3	{n=0}
-104034	一院	65538	19968	1	null
-104035	一府两院	65536	85542	3	{j=0}
-104036	上下议院	65536	101461	3	{j=1}
-104037	上议院	65536	108404	3	{n=0}
-104038	下议院	65536	111145	3	{n=0}
-104039	中国科学院	65536	88943	3	{n=0}
-104040	中科院	65536	116389	3	{j=18}
-104041	不变	65536	19981	1	null
-104042	不避艰险	65536	98928	3	{i=0}
-104043	世道	65536	19990	3	{n=1}
-104044	人寿保险	65536	86175	3	{n=8}
-104045	为民除	65536	94182	1	null
-104046	人民检察院	65536	89056	3	{n=0}
-104047	人民法院	65536	94959	3	{l=107}
-104048	体操队	65536	110763	3	{n=1}
-104049	修道院	65536	115786	3	{n=2}
-104050	兴利除	65536	109912	1	null
-104051	互访	65536	20114	3	{v=7, vn=9}
-104052	养老保险	65572	87736	1	null
-104053	三联	65543	19977	2	{nz=4}
-104054	乐陶陶	65536	110889	3	{z=0}
-104055	刈除	65536	21000	3	{v=0}
-104056	剜除	65536	21084	3	{v=0}
-104057	劳动保险	65664	102760	2	{l=1}
-104058	世界银	65544	97124	1	null
-104059	不只	65536	19981	3	{c=3, d=0}
-104060	医科院	65536	115945	3	{j=0}
-104061	博物院	65536	116453	3	{n=0}
-104062	余地	65536	20313	3	{n=10}
-104063	书会	65536	20070	3	{n=0}
-104064	不可	65796	19981	2	{d=4, v=111, vn=0}
-104065	共命	65543	20849	1	null
-104066	印经院	65536	124801	3	{n=1}
-104067	到场	65536	21040	3	{v=4}
-104068	中医院	65536	106511	3	{n=4}
-104069	一隅	65553	19968	2	{n=5}
-104070	乾隆	65536	20094	3	{nr=1, nz=1, t=0}
-104071	亿客隆	65536	89059	3	{nz=6}
-104072	休养院	65536	91768	3	{n=0}
-104073	体工队	65536	108995	3	{j=0}
-104074	偏安一隅	65536	87343	3	{l=1}
-104075	凶器	65536	20982	3	{n=0}
-104076	佯降	65536	20335	3	{v=0}
-104077	医疗队	65536	114863	3	{n=32}
-104078	主任	65591	20027	2	{n=320}
-104079	入乡随	67076	110720	1	null
-104080	共和	67075	20849	2	{n=0, ns=1}
-104081	京剧院	65549	92694	1	null
-104082	千难万险	65536	89544	3	{i=0}
-104083	单克隆	65536	124499	3	{b=3}
-104084	一墙之隔	65536	85581	3	{i=0}
-104085	一山之隔	65536	85584	3	{l=0}
-104086	一水之隔	65536	85593	3	{l=0}
-104087	厅局长	65536	93912	3	{j=9}
-104088	中山陵	65536	108869	3	{ns=1}
-104089	不合	65538	19981	2	{a=0, v=1}
-104090	参众两院	65536	91363	3	{j=3}
-104091	又哭又闹	65536	91384	3	{l=0}
-104092	一叶障	65537	87030	1	null
-104093	不同	65536	19981	2	{a=332, an=3, b=0, m=0, vn=0}
-104094	不名	65758	19981	1	null
-104095	云遮雾障	65536	104192	3	{i=0}
-104096	双喜临门	65536	91402	3	{l=2}
-104097	凯旋门	65536	94641	3	{n=2, ns=0}
-104098	双城镇	65536	126246	3	{ns=0}
-104099	反躬自问	65536	98821	3	{i=0}
-104100	吃闭门	65536	139108	1	null
-104101	后宰门	65536	134105	3	{ns=0}
-104102	听而不闻	65536	94090	3	{i=0}
-104103	咫尺之间	65536	94514	3	{l=0}
-104104	司法部长	65536	109307	3	{n=3}
-104105	保安队	65536	110422	3	{n=0}
-104106	丰采	65536	20016	3	{n=1}
-104107	丝锥	65536	19997	3	{n=0}
-104108	冈陵	65536	20872	3	{n=0}
-104109	主会	65540	20027	1	null
-104110	不吝	65536	19981	3	{v=1}
-104111	与世隔	65536	85858	1	null
-104112	乡镇长	65536	105424	3	{j=0, n=7}
-104113	众议院	65536	105536	3	{n=11}
-104114	勘探队	65536	92499	3	{n=0}
-104115	唁电	65536	21761	3	{n=0}
-104116	九运	65805	20061	2	{j=2}
-104117	上端	65536	19978	3	{f=0, n=0, s=0}
-104118	剥削阶	65684	89358	1	null
-104119	商学院	65536	130594	3	{n=5}
-104120	书体	65536	20070	3	{n=0}
-104121	受益者	65536	131208	3	{n=5}
-104122	啦啦队	65536	95050	3	{n=0}
-104123	乳臭	65546	20083	2	{n=0}
-104124	不含	65537	19981	1	null
-104125	喀麦隆	74230	118093	2	{ns=3}
-104126	一木难	65536	91944	1	null
-104127	三灾八难	65536	86400	3	{l=0}
-104128	不畏难	65536	112608	1	null
-104129	以珠弹雀	65536	89913	3	{i=0}
-104130	众怒难	65536	94372	1	null
-104131	凶吉难	66768	103468	1	null
-104132	一决雌雄	65536	104140	3	{i=0}
-104133	举止文雅	65536	91566	3	{l=0}
-104134	七国集	65537	87905	1	null
-104135	习题集	65536	106152	3	{n=0}
-104136	决一雌雄	65536	104152	3	{i=0}
-104137	冰球队	65536	121608	3	{n=0}
-104138	力克群雄	65536	98217	3	{l=0}
-104139	书画集	65536	113824	3	{n=2}
-104140	一决雌	65536	86451	1	null
-104141	人工降	65536	113132	1	null
-104142	作品集	65536	109606	3	{n=1}
-104143	克里雅	65553	120706	1	null
-104144	劳动密集	66393	105809	1	null
-104145	丑闻	65536	19985	3	{n=7}
-104146	勉为其难	65536	88826	3	{i=2}
-104147	信口雌	65538	108377	1	null
-104148	乙辰	65536	20057	3	{m=0}
-104149	一箭双雕	65536	86988	3	{i=0}
-104150	取静集	65536	132446	3	{n=1}
-104151	三合院	65536	92713	3	{n=0}
-104152	决一雌	65540	99631	1	null
-104153	参观者	65536	126875	3	{n=3}
-104154	名不符	70208	132214	1	null
-104155	值钱	65536	20540	3	{a=3}
-104156	伞降	65536	20254	3	{v=0}
-104157	喜从天降	65536	95180	3	{i=0}
-104158	参赛队	65536	127796	3	{n=8}
-104159	喜玛拉雅	65536	95263	3	{nz=1}
-104160	喜盈门	65536	135036	3	{nz=0}
-104161	喜马拉雅	71614	95276	2	{ns=1}
-104162	剪发	65536	21098	3	{v=0}
-104163	嘘寒问	69157	97414	1	null
-104164	交出	65536	20132	3	{v=5}
-104165	囟门	65536	22239	3	{n=0}
-104166	主体	65549	20027	2	{b=0, n=107}
-104167	千难万难	65536	89544	3	{i=1}
-104168	人工降雨	65536	104141	3	{l=0}
-104169	倾盆大雨	65536	88483	3	{i=1}
-104170	中到大雪	65536	88390	3	{l=2}
-104171	冰天雪	65673	114734	1	null
-104172	冰封雪	65551	115462	1	null
-104173	凄风冷雨	65536	88062	3	{i=0}
-104174	保育院	65536	119935	3	{n=0}
-104175	凄风楚雨	65536	94113	3	{i=0}
-104176	凄风苦雨	65536	100653	3	{i=0}
-104177	伊甸	65539	20234	1	null
-104178	决心	67937	20915	2	{d=19, n=57, v=3, vn=1}
-104179	凄美	65536	20932	3	{a=1}
-104180	听风是雨	65536	94094	3	{l=0}
-104181	呼风唤雨	65536	94286	3	{i=2}
-104182	化整为零	65536	88893	3	{i=1}
-104183	利纳雷	65750	121418	1	null
-104184	化学地雷	65536	107892	3	{l=0}
-104185	不周	65536	19981	3	{a=0}
-104186	万隆	65536	19975	3	{ns=2}
-104187	反坦克雷	65536	91881	3	{n=0}
-104188	和风细雨	65536	98259	3	{i=0}
-104189	哈姆雷	65607	116057	1	null
-104190	云山雾	65536	96560	1	null
-104191	云消雾	65540	100935	1	null
-104192	云遮雾	65539	109869	1	null
-104193	光风霁	65761	129869	1	null
-104194	五里雾	65536	121728	3	{n=0}
-104195	串门	65536	20018	3	{v=5}
-104196	九重霄	65536	104625	3	{n=0}
-104197	各取所需	65536	92999	3	{l=1}
-104198	书法集	65536	111674	3	{n=4}
-104199	吞云吐雾	65536	94014	3	{i=1}
-104200	你追	65566	20320	1	null
-104201	凡尔赛门	65536	101733	3	{ns=0}
-104202	以前	65536	20197	3	{f=69}
-104203	卡那霉	65542	128443	1	null
-104204	响彻云霄	65536	94668	3	{i=0}
-104205	便帽	65536	20415	3	{n=0}
-104206	一霎	65537	19968	2	{t=0}
-104207	上等	65549	19978	2	{b=4}
-104208	亟需	65536	20127	3	{v=6, vn=0}
-104209	司法部门	65536	109307	3	{n=6}
-104210	主使	65536	20027	3	{v=0}
-104211	佛殿	65536	20315	3	{n=0}
-104212	喷云吐雾	65536	95302	3	{l=0}
-104213	依稀	65738	20381	2	{a=0, d=3}
-104214	国事访问	65536	101559	3	{l=14}
-104215	国奥队	65536	137540	3	{j=0}
-104216	国家地震	72743	106885	1	null
-104217	国际纵队	65536	117153	3	{l=0}
-104218	交到	65536	20132	3	{v=1}
-104219	圣母院	65536	136567	3	{n=4, ns=0}
-104220	上策	65536	19978	3	{n=2}
-104221	不和	65536	19981	3	{a=1, an=0}
-104222	三能	65536	19977	3	{j=0}
-104223	不咎	65553	19981	1	null
-104224	一言难	65537	100864	1	null
-104225	丑陋	65536	19985	3	{a=1, an=0}
-104226	云蒸霞	65536	106871	1	null
-104227	冷若冰霜	65536	88043	3	{i=1}
-104228	凛若冰霜	65536	88086	3	{l=0}
-104229	在劫难	65612	118151	1	null
-104230	圆周运	75369	123469	1	null
-104231	地主阶	66246	136346	1	null
-104232	中华门	65536	106530	3	{ns=0}
-104233	专业队	65536	89236	3	{n=2}
-104234	四川队	65536	133953	3	{n=2, nt=1}
-104235	价重	65599	20215	1	null
-104236	坐山雕	65536	129434	3	{n=0}
-104237	刁难	65536	20993	3	{v=0, vn=0}
-104238	坐禁闭	65536	136874	3	{v=0}
-104239	坞乡集	65536	97336	3	{ns=0}
-104240	坦佩雷	73274	102220	1	null
-104241	售房	68936	21806	2	{v=8, vn=0}
-104242	万难	65630	19975	2	{n=0}
-104243	丑态毕露	65536	93148	3	{i=0}
-104244	养兵	66398	20859	2	{v=0}
-104245	买进	65536	20080	3	{v=2, vn=0}
-104246	凶相毕露	65536	93146	3	{i=0}
-104247	争议	65550	20105	2	{n=1, v=4, vn=9}
-104248	原形毕露	65536	93157	3	{i=0}
-104249	垂花门	65536	121348	3	{n=0}
-104250	凋零	65536	20939	3	{v=1}
-104251	三脚	65536	19977	1	null
-104252	博学多闻	65536	93790	3	{i=0}
-104253	埃因霍	69318	106763	1	null
-104254	变化莫	65609	122145	1	null
-104255	事由	65536	20107	3	{n=1}
-104256	培训费	65536	113804	3	{n=1}
-104257	外耳门	65536	153268	3	{n=0}
-104258	多云到阴	65536	99275	3	{l=5}
-104259	争论	66107	20105	2	{v=0, vn=8}
-104260	乡邻	65536	20065	3	{n=1}
-104261	丁零	65536	19969	1	null
-104262	书信	65763	20070	2	{n=6}
-104263	多云间阴	65536	116623	3	{l=1}
-104264	中国队	65536	107473	3	{n=0, nt=55}
-104265	坦坦	68365	22374	1	null
-104266	共商	65577	20849	2	{v=0}
-104267	多灾多难	65536	99481	3	{l=1}
-104268	大刀阔	73691	149402	1	null
-104269	凝视	65536	20957	3	{v=3}
-104270	多管闲	79381	152348	1	null
-104271	处理机	65536	128942	3	{n=0}
-104272	咽炎	65536	21693	3	{n=0}
-104273	剂量	65536	21058	3	{n=1}
-104274	万古常青	65536	89671	3	{i=0}
-104275	万年青	65536	89832	3	{n=0}
-104276	不可限	65537	104064	1	null
-104277	万古长青	65536	103822	3	{i=0, l=1}
-104278	俊男靓	65577	96528	1	null
-104279	名留青	72311	142274	1	null
-104280	土沥青	65536	141415	3	{n=0}
-104281	二星	65547	20108	1	null
-104282	七零	65551	19971	1	null
-104283	冷静静	65536	130914	3	{z=0}
-104284	交割	65585	20132	2	{v=1, vn=0}
-104285	上算	65536	19978	3	{a=0}
-104286	今是昨非	65536	91708	3	{l=0}
-104287	似仙非	66145	86762	1	null
-104288	似懂非	65538	91603	1	null
-104289	似是而非	65536	98372	3	{i=0}
-104290	一面	65554	19968	2	{d=6, f=4, m=0, n=4}
-104291	临街面	65536	105750	3	{n=1}
-104292	一方面	65536	91577	3	{c=72, n=0, v=0}
-104293	人心如面	65536	89116	3	{i=0}
-104294	书香门	65536	123134	1	null
-104295	人机界面	65536	95966	3	{n=0}
-104296	以泪洗面	65536	93464	3	{l=0}
-104297	二是	66000	20108	1	null
-104298	亏损面	65536	91453	3	{n=6}
-104299	似理非	65542	96279	1	null
-104300	似神非	65543	97647	1	null
-104301	似笑非	65546	98082	1	null
-104302	体体面	65549	105265	1	null
-104303	体体面面	65536	104302	3	{z=0}
-104304	交界面	65536	113206	3	{n=0}
-104305	六亲无靠	65536	93736	3	{i=0}
-104306	农转非	65536	128308	3	{l=1}
-104307	事略	65536	20107	3	{n=0}
-104308	买通	65536	20080	3	{v=0}
-104309	凉拌面	65536	107147	3	{n=0}
-104310	出头露面	65536	106795	3	{i=0}
-104311	刀削面	65536	106454	3	{n=0}
-104312	别具风采	65536	107769	3	{i=0}
-104313	别开生面	65536	95610	3	{i=7}
-104314	十月革	67847	119733	1	null
-104315	剩菜	65536	21097	3	{n=0}
-104316	以势	65546	20197	1	null
-104317	千人一面	65536	89486	3	{i=0}
-104318	单方面	65536	129729	3	{b=0, d=4, n=3}
-104319	前所未闻	65536	92300	3	{i=1}
-104320	农科院	65536	122777	3	{j=25}
-104321	主修	65536	20027	3	{v=0}
-104322	卖身投靠	65536	93277	3	{i=0}
-104323	厉行改革	65536	91843	3	{l=3}
-104324	切削面	65536	106847	3	{n=0}
-104325	催熟	65536	20652	3	{vn=2}
-104326	再次	65536	20877	3	{c=3, d=138}
-104327	划子	65536	21010	3	{n=0}
-104328	交办	65536	20132	3	{v=0}
-104329	口是心非	65536	92660	3	{i=0}
-104330	交加	65536	20132	3	{v=2}
-104331	另一方面	65536	92756	3	{c=57}
-104332	军警靴	65536	133570	3	{n=0}
-104333	不哼	65746	19981	1	null
-104334	伴郎	65536	20276	3	{n=0}
-104335	参考系	65536	124380	3	{n=0}
-104336	咨询	74620	21672	2	{v=15, vn=47}
-104337	啼笑皆非	65536	95914	3	{i=2}
-104338	囚首垢面	65536	95510	3	{i=0}
-104339	击毁	65536	20987	3	{v=0}
-104340	土地改革	65536	101076	3	{l=2}
-104341	事务长	65536	95407	3	{n=0}
-104342	压力计	65536	113242	3	{n=0}
-104343	售报	74833	21806	1	null
-104344	多躁少静	65536	99515	3	{i=0}
-104345	夜深人静	65536	99559	3	{l=1}
-104346	兽医院	65536	89520	3	{n=2}
-104347	久长	65536	20037	3	{a=0}
-104348	光通量	65536	127641	3	{n=0}
-104349	夜阑人静	65536	99579	3	{i=1}
-104350	大作文	68225	148726	1	null
-104351	什锦	65536	20160	2	{n=0}
-104352	大发雷	65691	149867	1	null
-104353	大发雷霆	65536	104352	3	{i=0}
-104354	大吵大闹	65536	99783	3	{l=0}
-104355	大嗓门	65536	150381	3	{n=1}
-104356	减压阀	65536	107878	3	{n=0}
-104357	大扫除	65536	153605	3	{v=0}
-104358	大是大非	65536	100028	3	{i=1}
-104359	卵泡	65536	21365	3	{n=0}
-104360	大头针	65536	151246	3	{n=0}
-104361	书信集	65536	104262	3	{n=0}
-104362	右方	65536	21491	3	{f=0}
-104363	击毙	65536	20987	3	{v=2}
-104364	大同江	65536	149926	3	{ns=0}
-104365	大暴雨	65536	154702	3	{n=0}
-104366	云端	65536	20113	3	{n=1}
-104367	大迈阿	76809	165218	1	null
-104368	大马士革	65536	101999	3	{ns=4}
-104369	偏压	65536	20559	3	{n=0}
-104370	大龄青	76214	169246	1	null
-104371	元书	65620	20803	1	null
-104372	五一	65549	20116	1	null
-104373	仙人鞭	65536	87685	3	{n=0}
-104374	原子炸	66944	126179	1	null
-104375	五七	65559	20116	1	null
-104376	天一阁	65536	148240	3	{ns=0}
-104377	大都市	65536	165527	3	{n=3}
-104378	免疫针	65536	109029	3	{n=0}
-104379	包装袋	65536	127874	3	{n=3}
-104380	克分	65763	20811	1	null
-104381	坠毁	65536	22368	3	{v=4, vn=0}
-104382	剪草除	65632	116314	1	null
-104383	丘陵	65537	19992	2	{n=7}
-104384	大礼服	65536	159446	3	{n=0}
-104385	五不	65537	20116	1	null
-104386	可变资	66400	127893	1	null
-104387	免掉	65536	20813	3	{v=0}
-104388	唯我独	71434	110280	1	null
-104389	养分	65536	20859	3	{n=0}
-104390	塘桥	65649	22616	1	null
-104391	天主教	78122	148299	2	{nz=21}
-104392	停刊	65536	20572	3	{v=3}
-104393	亲热	65536	20146	3	{a=2, an=0}
-104394	哨位	65536	21736	3	{n=0}
-104395	外来户	65536	146918	3	{n=0}
-104396	大清白	74065	156575	1	null
-104397	天坍地陷	65536	100571	3	{i=0}
-104398	天南星	65536	149607	3	{n=0}
-104399	多面手	65536	159453	3	{n=0}
-104400	天塌地陷	65536	100573	3	{i=0}
-104401	划定	65536	21010	3	{v=11, vn=0}
-104402	土地爷	65536	135922	3	{n=0}
-104403	启动	72023	21551	2	{v=49, vn=8}
-104404	以北	65536	20197	3	{f=10}
-104405	伪装	65538	20266	2	{n=1, v=2, vd=0, vn=0}
-104406	半瓶醋	65536	130572	3	{n=0}
-104407	大田庄	80118	158410	1	null
-104408	傻眼	65536	20667	3	{v=0}
-104409	天安门	65536	151705	3	{ns=21}
-104410	天门市	65536	166648	3	{ns=1}
-104411	估量	65536	20272	3	{v=4, vn=1}
-104412	互质	65543	20114	1	null
-104413	夫唱妇随	65536	100974	3	{i=0}
-104414	五个	66154	20116	1	null
-104415	克利	65668	20811	1	null
-104416	传世	65536	20256	3	{v=6, vn=1}
-104417	五中	65600	20116	2	{j=0}
-104418	大大方	73792	151233	1	null
-104419	俄语	65536	20420	3	{nz=0}
-104420	失业者	65536	138509	3	{n=7}
-104421	堵截	65536	22581	3	{v=3, vn=2}
-104422	如坐云雾	65536	102022	3	{i=0}
-104423	如影随	77598	138790	1	null
-104424	仙逝	65536	20185	3	{v=1}
-104425	代表队	65536	110197	3	{n=8}
-104426	冒天下之大不韪	65536	87758	3	{i=0}
-104427	困乏	65536	22256	3	{a=0}
-104428	克制	65594	20811	2	{a=0, v=1, vn=1}
-104429	大会战	65536	148660	3	{n=2}
-104430	倚重	65536	20506	3	{v=2, vn=1}
-104431	奥克巴	65536	108410	3	{nz=0}
-104432	如沐春雨	65536	102040	3	{i=0}
-104433	如蚁附	68882	148790	1	null
-104434	妄下雌	65543	104774	1	null
-104435	一槌定音	65536	88988	3	{i=0}
-104436	一锤定音	65536	88990	3	{i=3}
-104437	中州韵	65536	109234	3	{n=0}
-104438	主重音	65536	121184	3	{n=0}
-104439	传中	65543	20256	1	null
-104440	之间	65536	20043	3	{f=288, r=1}
-104441	光学录音	65536	90106	3	{l=0}
-104442	业障	65536	19994	3	{n=0}
-104443	八分音	65539	106234	1	null
-104444	半元音	65536	121433	3	{n=0}
-104445	众口铄	65556	91253	1	null
-104446	卷舌元音	65536	91224	3	{l=0}
-104447	双唇音	65536	125535	3	{n=0}
-104448	喉塞音	65536	99850	3	{n=0}
-104449	东盟	65536	19996	3	{n=1, ns=20}
-104450	喉擦音	65536	103058	3	{n=0}
-104451	塞擦音	65536	118057	3	{n=0}
-104452	传为	65972	20256	1	null
-104453	传主	65536	20256	3	{n=1}
-104454	复合元音	65536	99071	3	{l=0}
-104455	元人	65536	20803	3	{n=1}
-104456	复辅音	65536	149130	3	{n=0}
-104457	偏口	65539	20559	1	null
-104458	女低音	65536	139633	3	{n=0}
-104459	三自	65669	19977	2	{j=1}
-104460	不啻	65536	19981	3	{d=2, v=1}
-104461	凹透	65544	20985	1	null
-104462	女高音	65536	158971	3	{n=1}
-104463	去世	65536	21435	3	{v=22, vn=0}
-104464	久间	65536	20037	3	{nr=0}
-104465	大连港	65536	165240	3	{ns=3}
-104466	函谷	67323	20989	1	null
-104467	亮铮	65536	20142	1	null
-104468	以南	65536	20197	3	{f=4, p=0}
-104469	不善	65539	19981	2	{a=8, ad=0}
-104470	东直	65541	19996	1	null
-104471	久闻	65573	20037	1	null
-104472	妇产医院	65536	102132	3	{n=0}
-104473	塌棵	65543	22604	1	null
-104474	婆罗门	77217	115268	1	null
-104475	地震棚	65536	154982	3	{n=0}
-104476	嫁鸡随	65552	123981	1	null
-104477	娄子	65536	23044	3	{n=0}
-104478	丛集	65536	19995	3	{n=0, v=0}
-104479	婆婆妈	80240	105779	1	null
-104480	厄运	65536	21380	3	{n=1}
-104481	办报	68547	21150	2	{v=0, vn=3}
-104482	奏响	65536	22863	3	{v=4, vn=0}
-104483	便当	65536	20415	3	{a=1}
-104484	娃哈	81360	23043	1	null
-104485	子弟兵	65536	135027	3	{n=43}
-104486	字里行间	65536	103380	3	{i=1}
-104487	孤掌难	65558	125659	1	null
-104488	子母扣	65536	138273	3	{n=0}
-104489	佛法	65536	20315	3	{n=0}
-104490	传习	65536	20256	3	{v=0}
-104491	凸轮	65551	20984	2	{n=0}
-104492	代表院	65536	110197	3	{n=1}
-104493	堤段	65536	22564	3	{n=0}
-104494	孀妇	65536	23360	3	{n=0}
-104495	孤陋寡闻	65536	103537	3	{i=0}
-104496	元代	65536	20803	3	{t=0}
-104497	孤零零	65536	138821	3	{z=2}
-104498	以卵	65538	20197	1	null
-104499	丹阳	65558	20025	2	{ns=0}
-104500	刻意	65536	21051	3	{d=4}
-104501	凭眺	65536	20973	3	{v=0}
-104502	学员队	65536	141610	3	{n=2}
-104503	偏向	65536	20559	3	{n=0, v=1}
-104504	僻静	65536	20731	3	{a=0}
-104505	园丁	73412	22253	2	{n=1, ns=0}
-104506	学习班	65536	140082	3	{n=3}
-104507	凭着	65536	20973	3	{p=16}
-104508	北大西	65539	124888	1	null
-104509	子午卯	66077	131996	1	null
-104510	决意	65536	20915	3	{d=1, v=0}
-104511	双曲面	65536	130122	3	{n=0}
-104512	学校门	65536	146675	3	{n=0}
-104513	学而不	82225	152798	1	null
-104514	二月	65536	20108	3	{t=12}
-104515	元件	65536	20803	3	{n=3}
-104516	宅基地	65536	104528	3	{n=0}
-104517	学前教	70611	141087	1	null
-104518	它们	65536	23427	3	{r=131}
-104519	孵化器	65536	104734	3	{n=2}
-104520	务虚	65536	21153	3	{v=10, vn=0}
-104521	之际	65536	20043	3	{f=89}
-104522	宇宙射线	65536	104523	3	{l=0}
-104523	宇宙射	72075	105515	1	null
-104524	宇宙火箭	65536	109746	3	{n=0}
-104525	到处	65536	21040	3	{d=40}
-104526	宇宙空间	65536	112321	3	{l=0}
-104527	产科	65536	20135	3	{n=0}
-104528	宅基	82196	23429	1	null
-104529	夫君	65536	22827	3	{n=0}
-104530	偏听	66782	20559	1	null
-104531	宇宙速度	65536	117862	3	{l=0}
-104532	保证金	65536	122766	3	{n=11}
-104533	乡里	65536	20065	3	{n=11}
-104534	困人	65536	22256	3	{a=0}
-104535	乡野	65536	20065	3	{n=1}
-104536	两重	65545	20004	1	null
-104537	二期	65536	20108	3	{b=21}
-104538	孩子家	65536	106226	3	{n=1}
-104539	击沉	65536	20987	3	{v=0}
-104540	停办	65536	20572	3	{v=2}
-104541	唇齿音	65536	115865	3	{n=0}
-104542	农工部	65536	115629	3	{j=0}
-104543	宇宙尘	65536	105515	3	{n=6}
-104544	大连湾	65536	165240	3	{ns=0}
-104545	交卷	65536	20132	3	{v=0}
-104546	宇宙飞船	65536	120101	3	{l=1}
-104547	大陆架	65536	166880	3	{n=0}
-104548	不可靠	65537	104064	1	null
-104549	公安部	65542	119386	2	{n=0, nt=30}
-104550	唐古	69476	21776	1	null
-104551	宇航员	65536	115388	3	{n=12}
-104552	守信用	65536	125480	3	{l=0}
-104553	守口如	74612	126506	1	null
-104554	守口如瓶	65536	104553	3	{i=0}
-104555	佣钱	65536	20323	3	{n=0}
-104556	促销	65536	20419	3	{v=3, vn=10}
-104557	乙酉	65536	20057	3	{m=0}
-104558	五人	65552	20116	1	null
-104559	守土有	68430	127334	1	null
-104560	双人跳	65536	123922	3	{j=1}
-104561	守土有责	65536	104559	3	{l=4}
-104562	守恒定	80104	129689	1	null
-104563	守恒定律	65536	104562	3	{n=0}
-104564	守护神	65536	130283	3	{n=1}
-104565	减速运	66923	123386	1	null
-104566	五雷轰顶	65536	102259	3	{i=0}
-104567	一碧万顷	65536	85561	3	{i=0}
-104568	冒名顶	65537	98879	1	null
-104569	冬季两项	65536	87987	3	{n=2}
-104570	一顺	65546	19968	1	null
-104571	一帆顺	65536	89606	1	null
-104572	一帆风顺	65536	104655	3	{i=3}
-104573	到头	65808	21040	2	{n=0, v=3}
-104574	不屑一顾	65536	85749	3	{i=2}
-104575	一路顺	65538	101871	1	null
-104576	不管不顾	65536	85814	3	{l=0}
-104577	义无反顾	65536	87047	3	{i=5}
-104578	义无返顾	65536	102414	3	{i=0}
-104579	休斯顿	65536	96940	3	{ns=0}
-104580	传人	65536	20256	3	{n=4, v=0}
-104581	克林顿	65536	109901	3	{nr=147}
-104582	不得要领	65536	100982	3	{i=2}
-104583	以及	66098	20197	2	{c=452}
-104584	供种	65536	20379	3	{n=1, v=4, vn=0}
-104585	公私兼顾	65536	87624	3	{l=0}
-104586	共同纲领	65536	99771	3	{n=2}
-104587	亟须	65536	20127	3	{d=3, v=0}
-104588	凡事预	67083	91068	1	null
-104589	利普顿	65536	115205	3	{nz=0}
-104590	千依百顺	65536	95899	3	{i=0}
-104591	下巴颏	65536	99439	3	{n=0}
-104592	京胡	65536	20140	3	{n=0}
-104593	佳音频	66384	113181	1	null
-104594	千斤顶	65536	120526	3	{n=0}
-104595	三色	65536	19977	1	null
-104596	乙酰	65537	20057	1	null
-104597	华盛顿	66542	126500	2	{nr=0, ns=112}
-104598	南安普顿	65536	91825	3	{ns=0}
-104599	五代	65536	20116	3	{j=0, t=2}
-104600	伊盟	65536	20234	3	{j=5}
-104601	出难题	65536	139752	3	{l=0}
-104602	克勤	66661	20811	1	null
-104603	人身险	65536	125618	3	{n=3}
-104604	乙酸	65536	20057	3	{n=0}
-104605	会费额	65536	120981	3	{n=1}
-104606	偷税额	65536	113176	3	{n=1}
-104607	二来	65536	20108	3	{c=5}
-104608	不列颠	65536	103592	3	{ns=0}
-104609	东跑西颠	65536	100745	3	{i=0, l=0}
-104610	乐颠颠	65536	111443	3	{z=0}
-104611	三节	65536	19977	3	{n=0}
-104612	创汇额	65536	113307	3	{n=0}
-104613	亏损额	65536	91453	3	{n=7}
-104614	一颦	65607	19968	1	null
-104615	东施效颦	65536	91465	3	{i=0}
-104616	产业革	65545	93336	1	null
-104617	利息额	65536	113670	3	{n=1}
-104618	兼并额	65536	106097	3	{n=3}
-104619	乙醇	65536	20057	3	{n=0}
-104620	养老金	65536	116160	3	{n=3}
-104621	传代	65536	20256	3	{v=0}
-104622	传令	65536	20256	3	{v=0}
-104623	以史	66231	20197	1	null
-104624	九里	65549	20061	1	null
-104625	九重	65536	20061	1	null
-104626	出乎预	65551	121208	1	null
-104627	交叉	65674	20132	2	{d=4, v=5, vd=0, vn=5}
-104628	副标题	65536	113959	3	{n=0}
-104629	交友	65536	20132	3	{v=1, vn=1}
-104630	争购	65536	20105	3	{v=3}
-104631	名正言顺	65536	100884	3	{i=2}
-104632	乌纱	65536	20044	2	{n=1}
-104633	保险金	65536	125494	3	{n=5}
-104634	喀拉和顺	65536	95078	3	{ns=0}
-104635	二极	65540	20108	1	null
-104636	华尔街	65536	119645	3	{ns=6}
-104637	喜笑颜	70948	136133	1	null
-104638	乙醚	65536	20057	3	{n=0}
-104639	乙醛	65536	20057	3	{n=0}
-104640	叶绿素	65536	119801	3	{n=0}
-104641	复习题	65536	132453	3	{n=0}
-104642	交变	65543	20132	1	null
-104643	大不列颠	78147	100526	2	{ns=0}
-104644	大山顶	65536	152075	3	{ns=9}
-104645	奋不顾	65554	102102	1	null
-104646	团结湖	65536	135497	3	{ns=0}
-104647	堆放	65536	22534	3	{v=4, vn=3}
-104648	夙世	78336	22809	1	null
-104649	妙语解颐	65536	114590	3	{i=0}
-104650	存款单	65536	128675	3	{n=0}
-104651	以后	65536	20197	3	{f=131}
-104652	凸透	65542	20984	1	null
-104653	交口	65667	20132	2	{d=0, n=0}
-104654	一帆顺风	65536	104571	3	{l=0}
-104655	一帆风	65538	89606	1	null
-104656	一路顺风	65536	104575	3	{i=2}
-104657	一展风	65536	89173	1	null
-104658	三花	65536	19977	1	null
-104659	一路风	65537	101871	1	null
-104660	一阵风	65536	103989	3	{l=2}
-104661	不正之风	65536	85776	3	{i=30}
-104662	东风压倒西风	65536	100748	3	{i=0}
-104663	丢面	65563	20002	1	null
-104664	两袖清风	65536	93702	3	{i=2}
-104665	云龙风	65538	113752	1	null
-104666	五伦	65536	20116	3	{n=0}
-104667	亮节高风	65536	105176	3	{l=0}
-104668	主光	65538	20027	1	null
-104669	仆仆风	65541	86255	1	null
-104670	一飞	65536	19968	1	null
-104671	不翼而飞	65536	98339	3	{i=0}
-104672	丰衣足食	65536	101815	3	{i=0}
-104673	主副食	65544	104962	2	{j=0}
-104674	俊发飘	65537	87978	1	null
-104675	借东风	65536	102505	3	{l=1}
-104676	健步如飞	65536	88487	3	{l=0}
-104677	八面威风	65536	88716	3	{i=0}
-104678	八面来风	65536	92144	3	{i=0}
-104679	冰封雪飘	65536	104172	3	{i=0}
-104680	冷飕飕	65536	131294	3	{z=0}
-104681	凉飕飕	65536	120980	3	{z=0}
-104682	劳燕分飞	65536	88811	3	{i=0}
-104683	万顷	65536	19975	3	{q=1}
-104684	刁顽	65536	20993	3	{a=0}
-104685	化雨春风	65536	91808	3	{l=0}
-104686	万顺	65536	19975	3	{nz=0}
-104687	南极虾	65536	129589	3	{n=0}
-104688	匾额	65536	21310	3	{n=0}
-104689	书册	65536	20070	3	{n=0}
-104690	占上风	65536	99847	3	{l=1}
-104691	发愤忘食	65536	94749	3	{i=0}
-104692	叱咤风	72764	92876	1	null
-104693	吃独食	65536	130147	3	{l=0}
-104694	吹冷风	65536	107181	3	{v=0}
-104695	同类项	65536	141170	3	{n=0}
-104696	喝西北风	65536	95296	3	{l=0}
-104697	嗟来之食	65536	95349	3	{i=1}
-104698	供稿	65536	20379	3	{v=6}
-104699	因噎废食	65536	96165	3	{i=3}
-104700	启发	69481	21551	2	{v=12, vn=6}
-104701	卑职	65536	21329	3	{n=0}
-104702	书写	65537	20070	2	{v=7, vn=0}
-104703	主公	65536	20027	3	{n=0}
-104704	国林风	65536	141174	3	{nz=0}
-104705	五位	66155	20116	1	null
-104706	兼备	65536	20860	3	{v=4}
-104707	京腔	65536	20140	3	{n=1}
-104708	大煞风	73935	157432	1	null
-104709	四大皆	65567	132747	1	null
-104710	大雪纷飞	65536	100353	3	{i=4}
-104711	五体	65537	20116	1	null
-104712	函购	65536	20989	3	{v=0}
-104713	咖啡屋	65536	94507	3	{n=1}
-104714	出租车	65536	132361	3	{n=13}
-104715	天有不测风	80544	100655	1	null
-104716	复合材	72895	133901	1	null
-104717	亲爱	65540	20146	2	{a=6, b=0}
-104718	天高任鸟飞	65536	106032	3	{i=1, n=0}
-104719	亮闪	65543	20142	1	null
-104720	一日三餐	65536	85536	3	{l=3}
-104721	太古菜	65536	117254	3	{n=0}
-104722	大陆桥	65536	166880	3	{n=3}
-104723	如坐春风	65536	108058	3	{i=0}
-104724	丽音	65536	20029	3	{n=0, nz=1}
-104725	叉车	65536	21449	3	{n=2}
-104726	同类题	67188	141170	1	null
-104727	塑料	79124	22609	2	{n=20}
-104728	央托	65536	22830	3	{v=0}
-104729	孵化场	65536	104734	3	{n=0}
-104730	妥协	77597	22949	2	{a=0, v=10, vn=2}
-104731	守旧派	65536	131118	3	{n=0}
-104732	乱蓬	65536	20081	1	null
-104733	天长日	80760	166543	1	null
-104734	孵化	82399	23413	2	{v=1, vn=0}
-104735	中央集	65539	108034	1	null
-104736	作业题	65536	107903	3	{n=0}
-104737	守望相	83577	131426	1	null
-104738	守望相助	65536	104737	3	{i=0}
-104739	去伪	67969	21435	1	null
-104740	婺城	81896	23162	1	null
-104741	季节工	65536	116153	3	{n=0}
-104742	守本分	65536	131443	3	{l=0}
-104743	国际主	76418	153124	1	null
-104744	余姚	65621	20313	2	{ns=1}
-104745	壳牌	65536	22771	3	{nz=1}
-104746	如饥如	73903	153626	1	null
-104747	守株待	83931	131697	1	null
-104748	坎上	77155	22350	1	null
-104749	威斯敏	76990	118559	1	null
-104750	其次	65536	20854	3	{c=50, r=16, v=1}
-104751	守株待兔	65536	104747	3	{i=0}
-104752	修改	65536	20462	2	{v=54, vn=17}
-104753	守法性	65536	132892	3	{n=1}
-104754	伯里	65644	20271	1	null
-104755	偷天	65537	20599	1	null
-104756	守财奴	65536	141161	3	{n=0}
-104757	严防	65536	20005	3	{v=3}
-104758	夸口	65536	22840	3	{v=1, vd=0}
-104759	守身如	75185	141554	1	null
-104760	严阵	65708	20005	1	null
-104761	份额	65542	20221	2	{n=35}
-104762	守身如玉	65536	104759	3	{i=0}
-104763	如临大	76069	134377	1	null
-104764	呼吸相	65561	112302	1	null
-104765	凶多	66596	20982	1	null
-104766	娄山	82216	23044	1	null
-104767	大出风	76877	149396	1	null
-104768	分子量	65536	125596	3	{n=0}
-104769	守门员	65536	143407	3	{n=0}
-104770	安不忘	83410	146249	1	null
-104771	安不忘危	65536	104770	3	{i=0}
-104772	安丘市	65536	146260	3	{ns=3}
-104773	垃圾猪	65838	97441	2	{n=12}
-104774	妄下	65830	22916	1	null
-104775	决战	65536	20915	3	{n=0, v=3, vn=4}
-104776	列支	65578	21015	2	{v=6, vn=0}
-104777	安乃近	65536	146303	3	{n=0}
-104778	安义县	65536	146309	3	{ns=0}
-104779	匿迹	65556	21311	2	{v=0}
-104780	学而优	82597	152798	1	null
-104781	安之若	72750	146311	1	null
-104782	安之若素	65536	104781	3	{i=0}
-104783	余威	65536	20313	3	{n=0}
-104784	安乐椅	65536	146316	3	{n=0}
-104785	安于现	75421	146378	1	null
-104786	丹青	65536	20025	3	{n=2}
-104787	安于现状	65536	104785	3	{i=2, l=0}
-104788	安享晚	80611	146407	1	null
-104789	克原	65765	20811	1	null
-104790	孔型	65536	23380	3	{n=0}
-104791	安享晚年	65536	104788	3	{l=1}
-104792	安全玻璃	65536	119883	3	{l=0}
-104793	八面风	65536	123990	3	{n=0}
-104794	安全电压	65536	120261	3	{l=0}
-104795	下狠	65549	19979	1	null
-104796	安全系数	65536	122251	3	{l=3}
-104797	安分守	80749	147266	1	null
-104798	安分守己	65536	104797	3	{i=0}
-104799	安卡拉	65536	147613	3	{ns=2}
-104800	削足	65539	21066	1	null
-104801	孟买	65536	23391	3	{ns=1}
-104802	书函	65536	20070	3	{n=0}
-104803	天津港	65536	156213	3	{ns=2}
-104804	安危祸	73712	147629	1	null
-104805	妮子	65536	22958	3	{n=0}
-104806	会上	65536	20250	3	{s=0, t=66}
-104807	夫唱	78055	22827	1	null
-104808	写法	65536	20889	3	{n=0}
-104809	仪陇	65536	20202	3	{n=0}
-104810	外高桥	65536	160089	3	{ns=2}
-104811	修整	65536	20462	3	{v=0, vn=0}
-104812	下狱	65536	19979	3	{v=0}
-104813	份儿饭	65536	86491	3	{n=0}
-104814	促膝长	65553	99593	1	null
-104815	书刊	65536	20070	3	{n=11}
-104816	免收	65536	20813	3	{v=1}
-104817	一饱	65539	19968	1	null
-104818	吃偏饭	65536	121286	3	{l=0}
-104819	吃大锅饭	65536	105963	3	{l=0}
-104820	吃派饭	65536	128693	3	{l=2}
-104821	吃现成饭	65536	92969	3	{l=0}
-104822	不依不饶	65536	85711	3	{i=2, l=0}
-104823	吃闲饭	65536	139113	3	{l=2}
-104824	夹生饭	65536	129375	3	{n=0}
-104825	夙仇	65536	22809	3	{n=0}
-104826	哑巴吃饺	71301	96102	1	null
-104827	即令	65536	21363	3	{c=0}
-104828	发面饼	65536	146874	3	{n=0}
-104829	孵卵	81555	23413	2	{v=0}
-104830	医书	65536	21307	3	{n=2}
-104831	安危祸福	65536	104804	3	{i=1}
-104832	吾辈	65536	21566	3	{r=0}
-104833	子孙后	83084	134061	1	null
-104834	偷奸	65902	20599	1	null
-104835	乘除	65536	20056	3	{n=0}
-104836	大脑炎	65536	161451	3	{n=0}
-104837	安史之	84770	147758	1	null
-104838	中餐馆	65536	124388	3	{n=0}
-104839	体育场馆	65536	87937	3	{n=7}
-104840	使领馆	65536	111752	3	{n=5}
-104841	主凶	65536	20027	3	{n=2}
-104842	八宝饭	65536	108689	3	{n=0}
-104843	军史馆	65536	119374	3	{n=1}
-104844	农展馆	65536	115229	3	{j=1}
-104845	冷面馆	65536	130923	3	{n=0}
-104846	印书馆	65536	112408	3	{n=0}
-104847	不图	65536	19981	3	{v=1}
-104848	佳肴珍馐	65536	95181	3	{i=0}
-104849	五保	65541	20116	2	{j=1, vn=0}
-104850	国宾馆	65536	138141	3	{n=10}
-104851	安史之乱	65536	104837	3	{n=0}
-104852	同步网	65536	136796	3	{n=3}
-104853	勇武	65536	21191	3	{a=0}
-104854	不堪回首	65536	88002	3	{i=1}
-104855	储蓄额	65536	102957	3	{n=0}
-104856	净空	65536	20928	3	{n=0}
-104857	八角茴香	65536	101033	3	{n=0}
-104858	匕首	65536	21269	3	{n=1}
-104859	保龄球馆	65536	95246	3	{n=0}
-104860	古色古香	65536	92739	3	{i=0}
-104861	二档	65536	20108	3	{b=0}
-104862	东北风	65536	95289	3	{n=0}
-104863	名列榜首	65536	99636	3	{l=3}
-104864	东南风	65536	95353	3	{n=0}
-104865	博物馆	65536	116453	3	{n=30}
-104866	喷喷香	65536	118107	3	{z=0}
-104867	夜来香	65536	133792	3	{n=1}
-104868	主刑	65536	20027	3	{n=0}
-104869	嘻笑	65536	22075	3	{v=0}
-104870	大茴香	65536	161998	3	{n=0}
-104871	呢绒	65536	21602	3	{n=0}
-104872	国家体	73362	138133	1	null
-104873	安哥拉	65536	148001	3	{ns=9}
-104874	卫生	86294	21355	2	{a=11, ad=1, an=137, vn=0}
-104875	安土重	68079	148571	1	null
-104876	公使馆	65536	116304	3	{n=0}
-104877	别有风	66970	111824	1	null
-104878	主创	65570	20027	2	{b=0, j=0, vn=5}
-104879	好人好	81541	141941	1	null
-104880	安土重迁	65536	104875	3	{i=0}
-104881	孟什	70941	23391	1	null
-104882	优缺	65542	20248	1	null
-104883	安圭拉	81177	148585	1	null
-104884	安圭拉岛	65536	104883	3	{n=0}
-104885	安培计	65536	148789	3	{n=0}
-104886	制动闸	65536	110378	3	{n=0}
-104887	交响	66099	20132	2	{a=1, n=0, v=0, vn=2}
-104888	乘隙	65573	20056	2	{d=0}
-104889	不在	65682	19981	1	null
-104890	云系	65536	20113	3	{n=1}
-104891	兴师问	65537	112951	1	null
-104892	夜不闭	74391	127304	1	null
-104893	内外部	65536	120244	3	{f=1, j=1, n=0}
-104894	制动阀	65536	110378	3	{n=0}
-104895	安塔拉	65536	148880	3	{ns=0}
-104896	安多县	65536	149078	3	{ns=5}
-104897	五倍	65582	20116	1	null
-104898	困倦	65536	22256	3	{a=0, an=0}
-104899	垂涎欲	69034	115937	1	null
-104900	安大略	74436	149091	1	null
-104901	安大略省	65536	104900	3	{ns=4}
-104902	安太堡	65536	149094	3	{ns=0}
-104903	哈尔霍	65585	116647	1	null
-104904	她家	65536	22905	3	{r=5}
-104905	安如泰	81241	149182	1	null
-104906	安如泰山	65536	104905	3	{i=0}
-104907	安宁市	65536	149693	3	{ns=1}
-104908	举重	65538	20030	2	{n=2, v=2, vn=2}
-104909	体育馆	65536	117904	3	{n=12}
-104910	安守本	83914	149700	1	null
-104911	做成	65536	20570	3	{v=4}
-104912	安守本分	65536	104910	3	{l=0}
-104913	土洋结	75090	141517	1	null
-104914	佛湾	65536	20315	3	{n=0}
-104915	安安生	74933	149701	1	null
-104916	安安生生	65536	104915	3	{z=0}
-104917	安安稳稳	65536	106215	3	{z=0}
-104918	安安静静	65536	113677	3	{z=0}
-104919	大公报	65536	149254	3	{n=1}
-104920	不均	65536	19981	3	{a=0}
-104921	安定团	72455	149718	1	null
-104922	安定团结	65536	104921	3	{l=2}
-104923	安家立业	65536	104925	3	{i=0}
-104924	安家落户	65536	107343	3	{i=2}
-104925	安家立	84929	149746	1	null
-104926	修旧	65759	20462	1	null
-104927	列车长	65536	115583	3	{n=2}
-104928	倒下	65536	20498	3	{v=1}
-104929	十字路	67980	116740	1	null
-104930	倒不	65566	20498	1	null
-104931	东磁	65536	19996	3	{nz=0}
-104932	即位	65536	21363	3	{v=0}
-104933	住读	65578	20303	1	null
-104934	只不	65544	21482	1	null
-104935	安尔乐	65536	149840	3	{nz=2}
-104936	丁香	65537	19969	2	{n=1}
-104937	安居工程	65536	108977	3	{l=7, n=0}
-104938	友情	65536	21451	3	{n=9}
-104939	以售	65624	20197	1	null
-104940	培植	65536	22521	3	{v=9, vn=0}
-104941	安居而乐	78999	117720	1	null
-104942	凤蝶	65536	20964	3	{n=0}
-104943	保健食	65565	107570	1	null
-104944	安居而乐教	65536	104941	3	{l=1, n=0}
-104945	安居乐业	65536	104988	3	{i=6}
-104946	哨兵	65536	21736	3	{n=8}
-104947	囚牢	65536	22234	3	{n=0}
-104948	从天	65580	20174	1	null
-104949	助产	67705	21161	2	{b=0}
-104950	安庆市	65536	150466	3	{ns=1}
-104951	众口难	65549	91253	1	null
-104952	安德鲁斯	65536	107701	3	{ns=1}
-104953	安徽省	65536	150777	3	{ns=50}
-104954	假仁	66773	20551	1	null
-104955	五假	65536	20116	3	{j=0}
-104956	哲理	70124	21746	2	{n=7}
-104957	安康市	65536	150515	3	{ns=0}
-104958	勾画	65536	21246	3	{v=3}
-104959	从头	65571	20174	2	{d=6}
-104960	安德里	65536	150771	3	{ns=0}
-104961	安慰赛	65536	151212	3	{n=0}
-104962	主副	65538	20027	1	null
-104963	安提瓜	83320	151820	1	null
-104964	安提瓜和	80915	104963	1	null
-104965	回流阀	65536	138561	3	{n=0}
-104966	优美	65597	20248	2	{a=32, an=0}
-104967	安提瓜和巴	80905	104964	1	null
-104968	助人	68753	21161	1	null
-104969	份饭	65536	20221	3	{n=0}
-104970	做手	65541	20570	1	null
-104971	学前期	65536	141087	3	{t=0}
-104972	安提瓜和巴布	68179	104967	1	null
-104973	午睡	65536	21320	3	{v=0}
-104974	奴婢	65536	22900	3	{n=0}
-104975	价钱	65536	20215	3	{n=11}
-104976	啼笑	65572	21884	1	null
-104977	安提瓜和巴布达	65536	104972	3	{ns=0}
-104978	三菱	65536	19977	3	{nz=4}
-104979	代理	66131	20195	2	{n=1, v=10, vd=0, vn=19}
-104980	安检员	65536	153084	3	{j=0}
-104981	安步当	68277	153761	1	null
-104982	即使	68280	21363	2	{c=65}
-104983	嫉恨	65536	23241	3	{v=0}
-104984	交售	65536	20132	3	{v=0}
-104985	修理铺	65536	108541	3	{n=1}
-104986	姜堰	65536	23004	3	{ns=0}
-104987	安步当车	65536	104981	3	{i=0}
-104988	安居乐	84951	149889	1	null
-104989	回收站	65536	136502	3	{n=0}
-104990	安民告	73958	153933	1	null
-104991	严霜	65536	20005	3	{n=0}
-104992	安民告示	65536	104990	3	{i=1}
-104993	安波汤	66784	154142	2	{ns=0}
-104994	向上	65536	21521	3	{v=11, vd=0, vn=0}
-104995	孕产	80416	23381	1	null
-104996	人造革	65536	125991	3	{n=0}
-104997	嫉恶	80306	23241	1	null
-104998	交响音	66098	104887	1	null
-104999	安波汤镇	65536	104993	3	{ns=0}
-105000	公明镇	65536	122079	3	{ns=0}
-105001	只乐	72698	21482	1	null
-105002	安海镇	65536	154291	3	{ns=0}
-105003	始于	65962	22987	2	{v=1}
-105004	夯歌	65536	22831	3	{n=0}
-105005	安溪县	65536	154598	3	{ns=1}
-105006	主力	65543	20027	2	{n=9}
-105007	刚巧	65536	21018	3	{d=2}
-105008	冰球馆	65536	121608	3	{n=0}
-105009	主办	65816	20027	2	{v=60, vn=14}
-105010	中西餐	65536	120403	3	{j=1}
-105011	安然处之	65536	105013	3	{l=0}
-105012	专论	65536	19987	3	{n=2}
-105013	安然处	84968	155250	1	null
-105014	大观楼	65536	163676	3	{ns=0}
-105015	宇妥	65536	23431	3	{nz=0}
-105016	安然无恙	65536	108305	3	{i=2}
-105017	专访	65536	19987	3	{v=5, vn=4}
-105018	安理会	65536	155970	3	{j=81, nt=0}
-105019	主动	65585	20027	2	{a=18, ad=57, an=4, v=0}
-105020	儒雅	65536	20754	3	{z=2}
-105021	安琪儿	65536	156006	3	{n=0}
-105022	安眠药	65536	156764	3	{n=0}
-105023	卓见	65536	21331	3	{n=0}
-105024	囚犯	65536	22234	3	{n=11}
-105025	安福县	65536	157387	3	{ns=0}
-105026	安科纳	65536	157453	3	{ns=0}
-105027	勇气	65536	21191	3	{n=25}
-105028	安第斯	81367	157800	2	{ns=2}
-105029	倒买	66303	20498	1	null
-105030	冒气	65536	20882	3	{v=0}
-105031	刹车	65561	21049	2	{n=5, v=2, vn=0}
-105032	安第斯山	65536	105028	3	{ns=0}
-105033	冲锋陷	65540	124205	1	null
-105034	安纳德	79747	158703	1	null
-105035	凄苦	65536	20932	3	{a=0}
-105036	安纳德拉	72537	105034	1	null
-105037	安纳德拉维	68240	105036	1	null
-105038	安纳德拉维达	65536	105037	3	{nz=0}
-105039	安营扎	81514	160097	1	null
-105040	合成纤	65729	131877	1	null
-105041	坎伯	76379	22350	1	null
-105042	安营扎寨	65536	105039	3	{i=0}
-105043	安葬费	65536	160168	3	{n=0}
-105044	专诚	65536	19987	3	{d=0}
-105045	击溃	65536	20987	3	{v=0}
-105046	即便	65536	21363	3	{c=17, d=0}
-105047	太仓市	65536	115957	3	{ns=0}
-105048	垂直面	65536	118343	3	{n=0}
-105049	加工费	65536	121700	3	{n=1}
-105050	叠罗	65546	21472	1	null
-105051	安贫乐	68105	162407	1	null
-105052	安贫乐道	65536	105051	3	{i=1}
-105053	安身之	82735	162791	1	null
-105054	三落	65538	19977	1	null
-105055	安身之地	65536	105053	3	{n=2}
-105056	凭祥	65536	20973	3	{ns=0}
-105057	坡田	65536	22369	3	{n=0}
-105058	只争	66367	21482	1	null
-105059	安身立命	65536	116445	3	{i=0}
-105060	安达市	65536	163066	3	{ns=0}
-105061	亚的	65539	20122	1	null
-105062	安道尔	84221	163215	2	{ns=0}
-105063	亲王	65536	20146	3	{n=0}
-105064	下班	65536	19979	3	{v=10, vn=1}
-105065	安道尔公	82798	105062	1	null
-105066	书包	65548	20070	2	{n=5}
-105067	安道尔公国	65536	105065	3	{ns=0}
-105068	一马	65540	19968	1	null
-105069	上级	65536	19978	3	{b=0, n=62}
-105070	上藏马	65548	106901	1	null
-105071	乞力马	65545	87282	1	null
-105072	交易额	65536	109309	3	{n=5}
-105073	人仰马	65536	109303	1	null
-105074	人困马	66125	111351	1	null
-105075	人头马	65536	111931	3	{n=0, nz=0}
-105076	人欢马	65644	116521	1	null
-105077	人高马	65604	128735	1	null
-105078	丹顶	65536	20025	1	null
-105079	伍顿	65536	20237	3	{nz=1}
-105080	上纲	65699	19978	1	null
-105081	乌龙驹	65536	113056	3	{n=0}
-105082	伯乐相马	65536	96011	3	{i=0}
-105083	俄克拉何马	65548	86678	2	{ns=0}
-105084	三峰驼	65536	94993	3	{n=0}
-105085	兵强马	65543	110616	1	null
-105086	兵荒马	67606	119856	1	null
-105087	凯内马	65536	89451	3	{ns=0}
-105088	千军万马	65536	89496	3	{i=2}
-105089	升班马	65536	117719	3	{n=8}
-105090	六甲	65536	20845	3	{ns=0}
-105091	单人独马	65536	95838	3	{l=0}
-105092	单峰驼	65536	127480	3	{n=0}
-105093	力不	68518	21147	1	null
-105094	单峰骆驼	65536	105102	3	{n=0}
-105095	侯马	65536	20399	3	{ns=0}
-105096	单枪匹马	65536	90626	3	{i=0}
-105097	冒汗	65536	20882	3	{v=3}
-105098	卡库马	65536	115627	3	{ns=0}
-105099	南平镇	65536	127271	3	{ns=0}
-105100	久经考验	65536	98308	3	{l=7}
-105101	危地马	65873	107656	1	null
-105102	单峰骆	65546	127480	1	null
-105103	卸磨杀驴	65536	92384	3	{i=0}
-105104	元元	65705	20803	1	null
-105105	乌兰牧骑	65536	94830	3	{nz=2}
-105106	互连	65536	20114	3	{v=0}
-105107	为难	65536	20026	3	{a=2, v=0}
-105108	厉兵秣马	65536	96751	3	{i=0}
-105109	原班人马	65536	91346	3	{l=2}
-105110	从始	65542	20174	1	null
-105111	双峰驼	65536	127560	3	{n=0}
-105112	双峰骆驼	65536	105121	3	{n=0}
-105113	化工部	65536	112335	3	{j=0, nt=4}
-105114	发明者	65536	134246	3	{n=0}
-105115	发牢骚	65536	137402	3	{v=0}
-105116	命中	65587	21629	2	{v=0, vn=0}
-105117	哈尔霍马	65536	104903	3	{ns=0}
-105118	俊雅	65536	20426	3	{a=1}
-105119	国家杜马	65536	111025	3	{nz=0}
-105120	储贷	65536	20648	3	{j=0}
-105121	双峰骆	65564	127560	1	null
-105122	发汗药	65536	135855	3	{n=0}
-105123	塞翁失马	65536	97839	3	{i=0}
-105124	声色犬马	65536	106844	3	{i=0}
-105125	复印机	65536	133749	3	{n=0}
-105126	大司马	65536	149906	3	{n=0}
-105127	加油阀	65536	125496	3	{n=0}
-105128	一骨	65536	19968	1	null
-105129	三花接骨	65537	91045	1	null
-105130	主心骨	65536	108374	3	{n=1}
-105131	会厌软骨	65536	102255	3	{l=0}
-105132	六畜	65536	20845	3	{n=0}
-105133	冰肌玉骨	65536	95131	3	{i=0}
-105134	刻肌刻骨	65536	88625	3	{i=0}
-105135	中国馆	65536	107473	3	{n=0}
-105136	勺状软骨	65536	102278	3	{l=0}
-105137	十三陵	65536	113334	3	{ns=4}
-105138	多谋善算	66740	99512	1	null
-105139	力主	65536	21147	3	{v=3, vd=0}
-105140	书协	65536	20070	3	{j=0}
-105141	大队人马	65536	100332	3	{l=2}
-105142	天之骄	77036	148315	1	null
-105143	唯一	70360	21807	2	{b=56, d=12}
-105144	假使	65536	20551	3	{c=0}
-105145	伽马	65543	20285	1	null
-105146	书单	65536	20070	3	{n=0}
-105147	不堪	65764	19981	2	{v=4, vn=0}
-105148	内骨骼	65536	137030	3	{n=0}
-105149	外骨骼	65536	160041	3	{n=0}
-105150	头盖骨	65536	143247	3	{n=0}
-105151	乐而	65538	20048	1	null
-105152	奴颜媚骨	65536	101922	3	{i=0}
-105153	好高骛	65849	161427	1	null
-105154	嬉笑怒骂	65536	103256	3	{l=2}
-105155	侍郎	65536	20365	3	{n=0}
-105156	安邦定	82889	163298	1	null
-105157	命乖	65636	21629	1	null
-105158	安邦定国	65536	105156	3	{i=0}
-105159	安闲自	82849	164654	1	null
-105160	南阳镇	65536	141543	3	{ns=0}
-105161	安闲自在	65536	105159	3	{i=0}
-105162	始祖马	65536	115955	3	{n=0}
-105163	余孽	65536	20313	3	{n=0}
-105164	安阳县	65536	164719	3	{ns=1}
-105165	安陆市	65536	164738	3	{ns=0}
-105166	互通	65544	20114	2	{v=3}
-105167	伙食	65539	20249	2	{n=3}
-105168	安隆汶	65536	164802	3	{ns=0}
-105169	伪证	66169	20266	2	{n=1}
-105170	安非他	79048	165018	1	null
-105171	夕烟	65536	22805	3	{n=0}
-105172	傲骨	65536	20658	3	{n=0}
-105173	区位	65536	21306	2	{n=4}
-105174	安非他明	65536	105170	3	{n=0}
-105175	介面	65536	20171	3	{n=0}
-105176	亮节高	65549	99751	1	null
-105177	万丈高	65536	85628	1	null
-105178	众人拾柴火焰高	65536	94513	3	{i=0}
-105179	债台高	65537	89229	1	null
-105180	书卷	65546	20070	2	{n=0}
-105181	劳苦功高	65536	88812	3	{i=1}
-105182	中上	65539	20013	1	null
-105183	中下	65557	20013	2	{f=0}
-105184	万马	65537	19975	1	null
-105185	中不	65537	20013	1	null
-105186	丢饭	65536	20002	1	null
-105187	叠翠	65536	21472	3	{z=0}
-105188	倒伏	65536	20498	3	{v=1, vn=0}
-105189	吉星高	65538	119673	1	null
-105190	倒休	65536	20498	3	{v=0}
-105191	中专	65542	20013	2	{j=0, n=13}
-105192	主单	65670	20027	1	null
-105193	受害者	65536	124273	3	{n=11}
-105194	中世	65539	20013	1	null
-105195	周转量	65536	136324	3	{n=2}
-105196	孀居	65536	23360	3	{v=0}
-105197	周转金	65536	136324	3	{n=1}
-105198	刚度	65536	21018	3	{n=0}
-105199	培训部	65536	113804	3	{n=0}
-105200	中东	65541	20013	2	{ns=130, s=0}
-105201	姐夫	65536	22992	3	{n=4}
-105202	安非拉酮	65536	110277	3	{n=0}
-105203	喇叭筒	65536	95177	3	{n=0}
-105204	八一	65536	20843	3	{nz=0, t=19}
-105205	安魂曲	65536	166014	3	{n=0}
-105206	宋体字	65536	106768	3	{n=0}
-105207	宋江起	85170	114204	1	null
-105208	体会	65536	20307	3	{v=21, vn=15}
-105209	始作	81811	22987	1	null
-105210	上缴	65536	19978	3	{v=12, vn=1}
-105211	宋江起义	65536	105207	3	{l=0}
-105212	宋集村	65536	125059	3	{ns=0}
-105213	五光	65600	20116	1	null
-105214	商品棉	65536	128893	3	{n=1}
-105215	到家	65536	21040	3	{a=0, v=0}
-105216	完全叶	65536	113485	3	{n=0}
-105217	力争	68716	21147	2	{v=45, vn=0}
-105218	发言者	65536	143448	3	{n=3}
-105219	完全小学	65536	107289	3	{l=1}
-105220	余家	65632	20313	1	null
-105221	催生	65536	20652	3	{v=4, vn=0}
-105222	完好无	80558	115554	1	null
-105223	完好无恙	65536	105222	3	{l=0}
-105224	共处	65536	20849	3	{v=0, vn=0}
-105225	太极拳	65536	122275	3	{n=1}
-105226	完整性	65536	118617	3	{n=2}
-105227	完璧归	69015	122508	1	null
-105228	完璧归赵	65536	105227	3	{i=0}
-105229	完璧终归	69017	113281	1	null
-105230	完璧终归赵	65536	105229	3	{i=0}
-105231	准时	65536	20934	3	{a=1, ad=3, an=0, d=0}
-105232	便所	65536	20415	3	{n=0}
-105233	宏命令	65536	112465	3	{n=0}
-105234	宏病毒	65536	120985	3	{n=0}
-105235	冒泡	65536	20882	3	{v=1}
-105236	完美性	65536	125299	3	{n=0}
-105237	冥顽	68004	20901	2	{a=0}
-105238	宏观世	75212	126102	1	null
-105239	上网	65536	19978	3	{n=0, v=17, vn=14}
-105240	宏观世界	65536	105238	3	{l=0}
-105241	困兽	66921	22256	1	null
-105242	宗派主义	65536	105250	3	{n=0}
-105243	完美无瑕	65536	106701	3	{i=0}
-105244	乳虎	65536	20083	3	{n=0}
-105245	东移	65536	19996	3	{v=0}
-105246	宗主国	65536	107993	3	{n=0}
-105247	宗教画	65536	113911	3	{n=0}
-105248	官僚主	85211	138811	1	null
-105249	委以	65658	22996	2	{v=0}
-105250	宗派主	85201	115932	1	null
-105251	信息量	65536	111589	3	{n=4}
-105252	官僚主义	65536	105248	3	{n=13}
-105253	壬子	65536	22764	3	{m=0}
-105254	官僚资本	65536	121385	3	{l=2}
-105255	垫支	65536	22443	3	{v=1}
-105256	官兵们	65536	138966	3	{n=22}
-105257	官官相	80009	141561	1	null
-105258	天文数	77249	154263	1	null
-105259	咒骂	65536	21650	3	{v=0, vn=1}
-105260	产粮	65536	20135	3	{v=2, vn=0}
-105261	官官相护	65536	105257	3	{i=0}
-105262	官房长	81820	143264	1	null
-105263	传入	65541	20256	2	{v=1, vn=0}
-105264	宗教界	65536	113911	3	{n=17}
-105265	体体	65548	20307	1	null
-105266	争辩	65536	20105	3	{v=0, vd=0}
-105267	为非	65653	20026	1	null
-105268	官房长官	65536	105262	3	{n=1}
-105269	代用	65556	20195	2	{vn=0}
-105270	乞食	65536	20062	3	{v=0}
-105271	委任	82703	22996	2	{n=0, v=1, vn=0}
-105272	准星	65536	20934	3	{n=0}
-105273	五内	65660	20116	1	null
-105274	发行网	65536	143012	3	{n=1}
-105275	主厨	65536	20027	3	{n=0, v=1}
-105276	七高	65552	19971	1	null
-105277	伥鬼	65536	20261	3	{n=0}
-105278	世锦	65538	19990	1	null
-105279	冒失鬼	65536	100195	3	{n=0}
-105280	吝啬鬼	65536	94020	3	{n=0}
-105281	吸血鬼	65536	119521	3	{n=0}
-105282	借尸还魂	65536	102362	3	{i=0}
-105283	元凶	65536	20803	3	{n=0}
-105284	丧魂落魄	65536	99393	3	{i=0}
-105285	失魂落魄	65536	101012	3	{i=0}
-105286	丫鬟	65536	20011	3	{n=0}
-105287	妖魔鬼	77576	125605	1	null
-105288	书口	65536	20070	3	{n=0}
-105289	官庄村	65536	142309	3	{ns=0}
-105290	办公费	65536	100072	3	{n=0}
-105291	官报私	85127	143366	1	null
-105292	发人深醒	65536	93686	3	{i=0}
-105293	哲学系	65536	98652	3	{n=0}
-105294	官报私仇	65536	105291	3	{i=0}
-105295	妥善	65536	22949	3	{a=8, ad=23}
-105296	合作网	65536	127089	3	{n=0}
-105297	八九	67586	20843	1	null
-105298	功成身	65554	111448	1	null
-105299	命令	74277	21629	2	{n=29, v=4, vn=0}
-105300	优胜	65596	20248	2	{a=0, v=2, vn=0}
-105301	咖啡店	65536	94507	3	{n=1}
-105302	官本位	65536	144525	3	{n=0}
-105303	官架子	65536	144663	3	{n=0}
-105304	假借	65536	20551	3	{v=2}
-105305	官样文	73853	144792	1	null
-105306	危害面	65536	108811	3	{n=1}
-105307	夕照	65536	22805	3	{n=2}
-105308	书号	65536	20070	3	{n=0}
-105309	官样文章	65536	105305	3	{i=0}
-105310	卸职	65536	21368	3	{v=0}
-105311	亡魂	66138	20129	2	{n=0}
-105312	圈点	65536	22280	3	{v=1}
-105313	兼学	65536	20860	3	{v=0}
-105314	娄底	65536	23044	3	{ns=3}
-105315	反射角	65536	130475	3	{n=0}
-105316	妻女	65536	22971	3	{n=0}
-105317	中云	65536	20013	3	{n=0}
-105318	官桥湖	65536	144838	3	{ns=0}
-105319	季节性	65536	116153	3	{n=3}
-105320	介音	65536	20171	3	{n=0}
-105321	体例	65536	20307	3	{n=0}
-105322	官渡区	65536	146306	3	{ns=0}
-105323	占据	65536	21344	3	{v=15}
-105324	官运亨	68437	154929	1	null
-105325	官能团	65536	151134	3	{n=0}
-105326	中亚	65543	20013	2	{j=0, ns=113}
-105327	官运亨通	65536	105324	3	{i=0}
-105328	官逼民	83876	155037	1	null
-105329	官逼民反	65536	105328	3	{i=0}
-105330	书名	65592	20070	2	{n=7}
-105331	书后	65536	20070	3	{n=0}
-105332	官道沟	65536	155060	3	{ns=0}
-105333	凭空	65536	20973	2	{d=0}
-105334	埃克	70655	22467	1	null
-105335	定中结	78840	142608	1	null
-105336	主句	65536	20027	3	{n=0}
-105337	冬不	65552	20908	1	null
-105338	声名远	72168	130447	1	null
-105339	中产	65537	20013	1	null
-105340	定中结构	65536	105335	3	{n=0}
-105341	定义域	65536	142636	3	{n=0}
-105342	主叫	65536	20027	3	{v=2, vn=1}
-105343	姐妹	65536	22992	3	{n=13}
-105344	姿容	65536	23039	3	{n=1}
-105345	不声	65749	19981	1	null
-105346	刚强	65536	21018	3	{a=0, an=0}
-105347	主台	65536	20027	3	{n=1}
-105348	刹那	65572	21049	2	{t=1}
-105349	定价表	65536	142810	3	{n=0}
-105350	定位仪	65536	142896	3	{n=2}
-105351	别无选	65537	111527	1	null
-105352	兜里	65536	20828	3	{s=2}
-105353	划归	65536	21010	3	{v=4}
-105354	定兴县	65536	143447	3	{ns=0}
-105355	京菜	65536	20140	3	{n=0}
-105356	定冠词	65536	143491	3	{n=0}
-105357	嗅神	65806	21957	1	null
-105358	中人	65536	20013	3	{n=0}
-105359	定向分配	65536	106498	3	{l=0}
-105360	定向天线	65536	108325	3	{l=0}
-105361	堆栈	65536	22534	3	{n=0}
-105362	定向招生	65536	110807	3	{l=0}
-105363	偷安	65536	20599	3	{v=0}
-105364	修枝	65536	20462	3	{v=0}
-105365	定向培养	65536	108021	3	{l=0}
-105366	姐姐	65536	22992	3	{n=1}
-105367	定安里	65536	146028	3	{ns=0}
-105368	呆滞	65536	21574	3	{a=0, an=0}
-105369	匠心独运	65536	94958	3	{i=1}
-105370	壬寅	65536	22764	3	{m=0}
-105371	定场白	65536	144925	3	{n=0}
-105372	定居点	65536	146216	3	{n=22}
-105373	专责	65536	19987	3	{n=0}
-105374	不复	65544	19981	1	null
-105375	中介	65756	20013	2	{n=42}
-105376	定州市	65536	146625	3	{ns=0}
-105377	定形机	65536	147013	3	{n=0}
-105378	定心丸	65536	147110	3	{n=3}
-105379	向例	65536	21521	3	{n=0}
-105380	定影剂	65536	147028	3	{n=0}
-105381	去冬	65536	21435	3	{t=3}
-105382	宅子	65536	23429	3	{n=0}
-105383	不外	65691	19981	2	{v=1}
-105384	凶宅	65536	20982	3	{n=0}
-105385	定性分析	65536	105393	3	{l=1}
-105386	何种	65536	20309	3	{r=7}
-105387	书呆	65576	20070	1	null
-105388	娘娘	78892	23064	2	{n=4}
-105389	傻笑	65536	20667	3	{v=2}
-105390	地方官	65536	142360	3	{n=0}
-105391	妻妾	65536	22971	3	{n=0}
-105392	不够	65541	19981	2	{a=50, v=1}
-105393	定性分	78873	147210	1	null
-105394	妇女节	65536	114777	3	{n=0, t=1}
-105395	厉行	65930	21385	2	{v=0}
-105396	兼容	65737	20860	2	{v=2, vn=1}
-105397	定性处理	65536	107183	3	{l=0}
-105398	会做	66153	20250	1	null
-105399	定日县	65536	148680	3	{ns=0}
-105400	不大	65757	19981	2	{a=0, d=8}
-105401	东窗	65767	19996	1	null
-105402	五分	65554	20116	1	null
-105403	够交	74811	22815	1	null
-105404	定时炸弹	65536	112143	3	{l=2}
-105405	园内	65536	22253	3	{n=0}
-105406	味精	65536	21619	3	{n=0}
-105407	定时器	65536	148697	3	{n=0}
-105408	定林寺	65536	149114	3	{ns=0}
-105409	定海神	67393	150618	1	null
-105410	不失	65713	19981	1	null
-105411	佛灯	65536	20315	3	{n=0}
-105412	传出	65542	20256	2	{v=15}
-105413	五刑	65536	20116	3	{n=0}
-105414	安乐死	65536	146316	3	{v=0}
-105415	及时雨	65536	96685	3	{n=1}
-105416	大熊猫	65536	157476	3	{n=3}
-105417	定海神针	65536	105409	3	{n=0}
-105418	伸长	65536	20280	3	{v=1}
-105419	定滑轮	65536	150964	3	{n=0}
-105420	定界符	65536	152623	3	{n=0}
-105421	八仙	65543	20843	2	{n=2}
-105422	划得	65790	21010	1	null
-105423	定盘星	65536	153019	3	{n=0}
-105424	乡镇	65841	20065	2	{n=97}
-105425	史书	65536	21490	3	{n=2}
-105426	几经	66491	20960	1	null
-105427	发展署	65536	131757	3	{n=6}
-105428	力作	65536	21147	3	{n=9}
-105429	定补面	65536	157512	3	{j=1}
-105430	定襄县	65536	157735	3	{ns=0}
-105431	定调子	65536	158438	3	{l=0}
-105432	定货单	65536	158730	3	{n=0}
-105433	定购价	65536	158736	3	{n=0}
-105434	定量分	78923	159922	1	null
-105435	定量分析	65536	105434	3	{l=2}
-105436	器物	65536	22120	3	{n=0}
-105437	宛城区	65536	105469	3	{ns=2}
-105438	哨卡	65536	21736	3	{n=3}
-105439	宜丰县	65536	106726	3	{ns=2}
-105440	宜兴市	65536	107562	3	{ns=5}
-105441	宜宾市	65536	110196	3	{ns=0}
-105442	宜昌县	65536	112834	3	{ns=5}
-105443	中伏	65536	20013	3	{t=0}
-105444	团圆节	65536	125308	3	{t=0}
-105445	中休	65536	20013	3	{n=0}
-105446	宜春市	65536	112859	3	{ns=0}
-105447	宜阳县	65536	125161	3	{ns=5}
-105448	好人家	65536	141941	3	{n=0}
-105449	宝中之	81998	120475	1	null
-105450	奋勇当	80346	103312	1	null
-105451	宝中之宝	65536	105449	3	{i=0, l=0}
-105452	宝丰县	65536	120478	3	{ns=2}
-105453	乘风	65540	20056	1	null
-105454	发行者	65536	143012	3	{n=1}
-105455	卤素	65536	21348	3	{n=0}
-105456	三藏	65536	19977	3	{n=0}
-105457	低三	66355	20302	1	null
-105458	天鹅绒	65536	168789	3	{n=1}
-105459	低下	65536	20302	3	{a=15, an=0, v=1}
-105460	不知高	65537	113270	1	null
-105461	宝刀不	72699	121454	1	null
-105462	史事	65536	21490	3	{n=2}
-105463	几维	65542	20960	1	null
-105464	中伤	65536	20013	3	{v=0}
-105465	危亡	65536	21361	3	{n=2}
-105466	传到	65536	20256	3	{v=1}
-105467	亲生	65536	20146	3	{b=0}
-105468	宝刀不老	65536	105461	3	{i=2}
-105469	宛城	84131	23451	2	{ns=1}
-105470	吞服	65536	21534	3	{v=0}
-105471	君主立	70538	94191	1	null
-105472	宝塔山	65536	123074	3	{ns=0}
-105473	侧线	65536	20391	3	{n=0}
-105474	宝安区	65536	123895	3	{ns=0}
-105475	大不敬	65536	148391	3	{l=0}
-105476	合作者	65536	127089	3	{n=0}
-105477	宝应县	65536	124674	3	{ns=0}
-105478	宝日胡	83968	126547	1	null
-105479	使者	65536	20351	3	{n=11}
-105480	乡长	65536	20065	3	{n=3}
-105481	宝日胡吉	81913	105478	1	null
-105482	夺冠	65536	22842	3	{v=13, vn=0}
-105483	即兴	71155	21363	2	{b=0, d=4}
-105484	世间	65536	19990	3	{n=2}
-105485	宝日胡吉尔	83457	105481	1	null
-105486	不好	65542	19981	2	{a=42, ad=0}
-105487	宝日胡吉尔嘎	78896	105485	1	null
-105488	俄通	65543	20420	1	null
-105489	东端	65536	19996	3	{f=0}
-105490	大显身	74870	154584	1	null
-105491	不如	65543	19981	2	{c=2, v=7}
-105492	反光镜	65536	127728	3	{n=3}
-105493	宝日胡吉尔嘎查	65536	105487	3	{ns=0}
-105494	宝莲灯	65536	134176	3	{n=0}
-105495	宝贝疙	75251	136587	1	null
-105496	元勋	65536	20803	3	{n=1}
-105497	哺乳类	65536	94953	3	{n=1}
-105498	上联	65536	19978	3	{n=0}
-105499	宝盖儿	65536	130884	3	{n=0}
-105500	宝贝疙瘩	65536	105495	3	{n=0}
-105501	宝顶山	65536	139492	3	{ns=0}
-105502	塘沽	76487	22616	2	{ns=6}
-105503	宝鸡市	65536	140943	3	{ns=0}
-105504	味素	65536	21619	3	{n=0}
-105505	实业家	65536	140537	3	{n=1}
-105506	中低	65779	20013	1	null
-105507	地震波	65536	154982	3	{n=0}
-105508	实习期	65536	140607	3	{t=0}
-105509	实事求	79354	140650	1	null
-105510	夙兴	76427	22809	1	null
-105511	中体	65536	20013	3	{nz=0}
-105512	六盘	65566	20845	1	null
-105513	实事求是	65536	105509	3	{i=68}
-105514	不妙	65536	19981	3	{a=1}
-105515	宇宙	80967	23431	2	{n=22}
-105516	图书站	65536	122371	3	{n=17}
-105517	东笋	65536	19996	3	{ns=0}
-105518	下疳	65536	19979	3	{n=0}
-105519	利比里	68194	116587	1	null
-105520	凉山	65819	20937	2	{ns=8}
-105521	实力派	65536	141690	3	{n=1}
-105522	实在论	65536	142855	3	{n=0}
-105523	实地调	78927	142863	1	null
-105524	实地调查	65536	105523	3	{l=0, v=0}
-105525	佐餐	65536	20304	3	{vn=0}
-105526	不妥	65536	19981	3	{a=4, an=0}
-105527	培养皿	65536	98906	3	{n=0}
-105528	司乘	72768	21496	1	null
-105529	不妨	65536	19981	3	{d=5, v=5}
-105530	实实在	83220	143997	1	null
-105531	力促	65536	21147	3	{v=0}
-105532	实实在在	65536	105530	3	{z=15}
-105533	实干家	65536	144721	3	{n=1}
-105534	亚硝	65553	20122	1	null
-105535	实弹射	84550	144920	1	null
-105536	众议	65615	20247	1	null
-105537	实弹射击	65536	105535	3	{l=0}
-105538	典鉴	65536	20856	3	{n=0}
-105539	士人	65536	22763	3	{n=0}
-105540	卓识	65536	21331	3	{n=0}
-105541	奎文	79872	22862	1	null
-105542	塘泥	65536	22616	3	{n=0}
-105543	便捷	65536	20415	3	{a=9}
-105544	实心实	80698	145058	1	null
-105545	实心实意	65536	105544	3	{l=0}
-105546	党中	65671	20826	1	null
-105547	大行星	65536	163302	3	{n=1}
-105548	亚硫	65538	20122	1	null
-105549	实打实	65536	145714	3	{l=1}
-105550	付钱	65536	20184	3	{v=1}
-105551	五力	65536	20116	3	{j=0}
-105552	冬令	65542	20908	1	null
-105553	实报实	67410	145796	1	null
-105554	实报实销	65536	105553	3	{l=0}
-105555	实效性	65536	146471	3	{n=2}
-105556	五加	65536	20116	3	{n=0}
-105557	力保	65536	21147	3	{v=0}
-105558	实物地租	65536	106859	3	{l=0}
-105559	实用主	85520	150535	1	null
-105560	国际公	75414	153124	1	null
-105561	实用主义	65536	105559	3	{n=0}
-105562	实而不	84239	153323	1	null
-105563	二次	65610	20108	1	null
-105564	修桥	65553	20462	1	null
-105565	实而不华	65536	105562	3	{l=0}
-105566	孟加拉国	65536	103445	3	{ns=13}
-105567	创下	65536	21019	3	{v=14}
-105568	哨口	65536	21736	3	{n=0}
-105569	坎儿	77111	22350	2	{n=1}
-105570	实至名	81169	153810	1	null
-105571	实至名归	65536	105570	3	{i=0}
-105572	八佰	67301	20843	1	null
-105573	实证主	85534	156320	1	null
-105574	卫矛	65536	21355	3	{n=0}
-105575	实证主义	65536	105573	3	{n=0}
-105576	上肢	65536	19978	3	{n=0}
-105577	包装费	65536	127874	3	{n=0}
-105578	创世	65536	21019	3	{j=1}
-105579	亲疏	65536	20146	3	{n=0}
-105580	实话实	69753	156348	1	null
-105581	实话实说	65536	105580	3	{l=1}
-105582	创业	66773	21019	2	{nz=0, v=17, vn=15}
-105583	刚性	65536	21018	3	{n=2}
-105584	实质性	65536	156679	3	{n=17}
-105585	实际上	65536	159012	3	{d=66}
-105586	传动	65586	20256	2	{v=0, vn=2}
-105587	实物券	65536	149832	3	{n=0}
-105588	实际工资	65536	109644	3	{l=2}
-105589	宠辱不	80817	121927	1	null
-105590	低于	65536	20302	3	{v=54}
-105591	宠信	65536	23456	3	{v=0}
-105592	实践性	65536	156884	3	{n=1}
-105593	低云	65536	20302	3	{n=0}
-105594	下痿	65536	19979	3	{n=0}
-105595	宠辱不惊	65536	105589	3	{i=0}
-105596	临渊羡鱼	65536	98209	3	{i=1}
-105597	乡间	65536	20065	3	{s=6}
-105598	假充	65536	20551	3	{v=0}
-105599	偏口鱼	65536	104457	3	{n=0}
-105600	八带鱼	65536	109338	3	{n=0}
-105601	别人	65536	21035	3	{r=86}
-105602	土鲮鱼	65536	153712	3	{n=0}
-105603	凤尾鱼	65536	93878	3	{n=0}
-105604	从容	66241	20174	2	{a=6, ad=2, an=2}
-105605	圣克鲁	70659	129781	1	null
-105606	众说	65606	20247	1	null
-105607	埃默鲁	73490	125187	1	null
-105608	从宽	65536	20174	3	{d=0, v=0}
-105609	城门失火殃及池鱼	65536	97635	3	{i=0}
-105610	墨斗鱼	65536	120054	3	{n=0}
-105611	大马哈鱼	65536	100940	3	{n=2}
-105612	做操	65536	20570	3	{v=0}
-105613	大麻哈鱼	65536	100402	3	{n=0}
-105614	审时度	84437	122467	1	null
-105615	低产	65558	20302	2	{b=1}
-105616	医典	65536	21307	3	{n=2}
-105617	定向井	65536	144116	3	{n=0}
-105618	创举	65536	21019	3	{n=6}
-105619	孝义	65536	23389	3	{ns=0}
-105620	审时度势	65536	105614	3	{i=6}
-105621	娱乐城	65536	103127	3	{n=0}
-105622	审美化	65536	129019	3	{v=0}
-105623	卢萨	69768	21346	1	null
-105624	审查室	65536	122962	3	{n=1}
-105625	审议会	65536	132123	3	{n=3}
-105626	审问者	65536	134747	3	{n=0}
-105627	会儿	65536	20250	3	{q=0}
-105628	北朝鲜	65536	128462	3	{ns=0}
-105629	南朝鲜	65536	129489	3	{ns=0}
-105630	嫩鲜鲜	65536	122107	3	{z=0}
-105631	会元	65536	20250	3	{n=0}
-105632	客套话	65536	130786	3	{n=0}
-105633	健美	65536	20581	2	{n=0}
-105634	低人	66540	20302	1	null
-105635	审计员	65536	132110	3	{n=0}
-105636	倒像	65536	20498	3	{n=0}
-105637	假公	65551	20551	1	null
-105638	客客气	77971	131373	1	null
-105639	客客气气	65536	105638	3	{z=0}
-105640	保护膜	65536	112241	3	{n=1}
-105641	客家人	65536	131393	3	{n=0}
-105642	客座教	80164	132146	1	null
-105643	书商	65536	20070	3	{n=1}
-105644	客座教授	65536	105642	3	{n=1}
-105645	客户群	65536	133058	3	{n=0}
-105646	哄然	71783	21700	1	null
-105647	客死他	85586	135430	1	null
-105648	刀伤	65536	20992	3	{n=0}
-105649	中保	65536	20013	3	{j=4}
-105650	云翳	65536	20113	3	{n=0}
-105651	客死他乡	65536	105647	3	{l=1}
-105652	客气话	65536	135583	3	{n=0}
-105653	中信	65536	20013	3	{j=1, nz=0}
-105654	会党	65536	20250	3	{n=0}
-105655	亲痛	66000	20146	1	null
-105656	剃刀鲸	65536	88628	3	{n=0}
-105657	客流量	65536	135884	3	{n=1}
-105658	客畅其	70767	137936	1	null
-105659	客畅其行	65536	105658	3	{i=0}
-105660	客观主	85621	143181	1	null
-105661	佩饰	65536	20329	3	{n=1}
-105662	客观主义	65536	105660	3	{n=0}
-105663	客货运	68909	144050	1	null
-105664	客货运输	65536	105663	3	{j=2}
-105665	吨粮	72608	21544	1	null
-105666	助兴	65536	21161	3	{v=2}
-105667	伪足	65536	20266	3	{n=0}
-105668	司令	71337	21496	2	{n=17}
-105669	始终如	82767	117349	1	null
-105670	决斗	65536	20915	3	{v=1, vn=2}
-105671	客运员	65536	144731	3	{n=3}
-105672	冬作	65549	20908	1	null
-105673	助养	65590	21161	2	{vn=2}
-105674	司仪	65536	21496	3	{n=0}
-105675	假冒	67061	20551	2	{v=2, vn=8}
-105676	宣传部长	65536	125699	3	{n=12}
-105677	令人钦	65919	86269	1	null
-105678	宣叙调	65536	118729	3	{n=0}
-105679	实验员	65536	160107	3	{n=0}
-105680	孙中	79748	23385	1	null
-105681	乐舞	65536	20048	3	{n=1, v=0}
-105682	即刻	65536	21363	3	{d=3}
-105683	哭泣	65536	21741	3	{v=1, vn=0}
-105684	宣州市	65536	121294	3	{ns=0}
-105685	婆姨	65536	23110	3	{n=2}
-105686	宣教部	65536	123209	3	{j=0}
-105687	华夏鳗	65536	118872	3	{n=5}
-105688	丰韵	65536	20016	3	{n=0}
-105689	丧魂	65540	20007	1	null
-105690	从小	65536	20174	3	{d=22, p=1}
-105691	宣汉县	65536	124985	3	{ns=1}
-105692	决断	65536	20915	3	{n=4, v=0, vn=0}
-105693	宣武区	65536	124758	3	{ns=4}
-105694	一鳞	65541	19968	1	null
-105695	低价	66209	20302	2	{ad=0, n=5}
-105696	宣礼塔	65536	128300	3	{n=0}
-105697	室主任	65536	105782	3	{n=0}
-105698	区党	66430	21306	1	null
-105699	宦官	65536	23462	3	{n=0}
-105700	娘子	82219	23064	2	{n=0}
-105701	室内乐	65536	106624	3	{n=3}
-105702	定向仪	65536	144116	3	{n=0}
-105703	优良	65550	20248	2	{a=10, b=2, z=83}
-105704	宪兵队	65536	105742	3	{n=0}
-105705	宫外孕	65536	108996	3	{n=0}
-105706	宫廷政	84243	110501	1	null
-105707	宫廷政变	65536	105706	3	{l=0}
-105708	宫殿式	65536	113773	3	{b=0}
-105709	两院	65545	20004	2	{j=0}
-105710	力偶	65536	21147	3	{n=0}
-105711	宫腔镜	65536	119298	3	{n=0}
-105712	关上	65536	20851	3	{v=0}
-105713	宫颈癌	65536	125238	3	{n=1}
-105714	宰牲节	65536	113929	3	{t=1}
-105715	宰相之	80554	115087	1	null
-105716	区公	65671	21306	1	null
-105717	五十	65598	20116	1	null
-105718	嫡堂	65536	23265	3	{n=0}
-105719	宰相之才	65536	105715	3	{n=0}
-105720	害人不	77750	105945	1	null
-105721	五卅	65539	20116	1	null
-105722	免检	65536	20813	3	{j=0, vd=0, vn=5}
-105723	害人不浅	65536	105720	3	{i=0}
-105724	大家族	65536	151888	3	{n=1}
-105725	事端	65536	20107	3	{n=0}
-105726	婆娑	66940	23110	2	{z=2}
-105727	子母机	65536	138273	3	{n=2}
-105728	党代	67246	20826	1	null
-105729	害群之	66204	118467	1	null
-105730	关东	65537	20851	2	{ns=2}
-105731	剧情	65536	21095	3	{n=13}
-105732	同义词	65536	129344	3	{n=1}
-105733	婆娘	65536	23110	3	{n=0}
-105734	催眠	65767	20652	2	{v=0}
-105735	农业部	65536	111586	3	{n=2, nt=45}
-105736	害群之马	65536	105729	3	{i=0}
-105737	宰割	65536	23472	3	{v=0}
-105738	便携	65699	20415	1	null
-105739	临行	65536	20020	3	{v=1}
-105740	宴会厅	65536	105745	3	{n=4}
-105741	区内	66622	21306	2	{n=0}
-105742	宪兵	67273	23466	2	{n=3}
-105743	决无	65561	20915	1	null
-105744	威海市	65536	120551	3	{ns=0}
-105745	宴会	84359	23476	2	{n=7}
-105746	大公无	68520	149254	1	null
-105747	关中	65536	20851	3	{ns=1}
-105748	倒儿	65536	20498	1	null
-105749	宵禁	65536	23477	3	{v=0}
-105750	临街	65537	20020	2	{v=1, vd=0, vn=1}
-105751	九阳	65536	20061	3	{nz=0}
-105752	低估	65536	20302	3	{v=8}
-105753	家乐福	65536	143202	3	{nz=0}
-105754	家乡话	65536	143219	3	{n=0}
-105755	孔子	65536	23380	3	{nr=5}
-105756	家具城	65536	144009	3	{n=0}
-105757	家喻户	79568	145101	1	null
-105758	审判员	65536	117393	3	{n=0}
-105759	传单	65536	20256	3	{n=1}
-105760	困厄	65536	22256	3	{an=1}
-105761	家务事	65536	144307	3	{n=0}
-105762	国际制	65536	153124	3	{n=0}
-105763	家喻户晓	65536	105757	3	{i=6}
-105764	同义语	65536	129344	3	{n=1}
-105765	家委会	65536	146150	3	{j=0}
-105766	何等	65536	20309	3	{a=0, d=4, r=1}
-105767	家家户	80625	146632	1	null
-105768	家家户户	65536	105767	3	{i=15}
-105769	从属	65536	20174	3	{v=0, vn=0}
-105770	孔孟	83276	23380	1	null
-105771	家居服	65536	146775	3	{n=0}
-105772	商业楼	65536	127190	3	{n=0}
-105773	历时	65536	21382	3	{v=24}
-105774	天生我	74249	158255	1	null
-105775	家属楼	65536	146800	3	{n=0}
-105776	基本法	65536	131753	3	{n=13}
-105777	元古	65554	20803	1	null
-105778	家常便饭	65536	105799	3	{l=1}
-105779	婆婆	81559	23110	2	{n=4}
-105780	关乎	65536	20851	3	{v=1, vn=2}
-105781	低位	65536	20302	3	{n=0}
-105782	室主	85478	23460	1	null
-105783	家庭妇女	65536	105784	3	{l=0}
-105784	家庭妇	82884	147391	1	null
-105785	家庭设备	65536	118639	3	{n=1}
-105786	倒入	65536	20498	3	{v=0}
-105787	僧院	65536	20711	3	{n=0}
-105788	吸力	65536	21560	3	{n=0}
-105789	养老院	65536	116160	3	{n=0}
-105790	侧翼	65536	20391	3	{n=0}
-105791	假分	65547	20551	1	null
-105792	厚今	65538	21402	1	null
-105793	妻子	65536	22971	3	{n=55}
-105794	切中	65536	20999	2	{v=1}
-105795	家弦户	69971	147512	1	null
-105796	协理	68994	21327	2	{n=0, v=0}
-105797	婴孩	65536	23156	3	{n=0}
-105798	做文	65538	20570	1	null
-105799	家常便	66501	147274	1	null
-105800	家弦户诵	65536	105795	3	{i=0}
-105801	两难	65536	20004	3	{z=5}
-105802	娘家	82962	23064	2	{n=4}
-105803	创价	65536	21019	3	{nz=1}
-105804	家徒四	83084	147620	1	null
-105805	家徒四壁	65536	105804	3	{i=0}
-105806	家政学	65536	149073	3	{n=0}
-105807	伴随	65536	20276	3	{p=0, v=36, vd=0, vn=0}
-105808	家族式	65536	149217	3	{b=0}
-105809	劳动密	65546	109156	1	null
-105810	家无担	75105	149234	1	null
-105811	五原	65536	20116	3	{ns=0}
-105812	家无担石	65536	105810	3	{i=0}
-105813	准格	65712	20934	1	null
-105814	刚愎	65556	21018	2	{an=0}
-105815	偏失	65536	20559	3	{v=1}
-105816	家用电	83697	153146	1	null
-105817	家用电器	65536	105816	3	{l=11, n=0}
-105818	凹镜	65536	20985	3	{n=0}
-105819	家破人	85692	153926	1	null
-105820	共存	65536	20849	3	{v=4}
-105821	家破人亡	65536	105819	3	{i=1}
-105822	上膘	65536	19978	3	{v=0}
-105823	娃娃	73083	23043	2	{n=8}
-105824	家给人	69553	155627	1	null
-105825	二氧	65639	20108	1	null
-105826	噩运	65536	22121	3	{n=1}
-105827	体内	65536	20307	3	{s=2}
-105828	家给人足	65536	105824	3	{i=0}
-105829	固习	65536	22266	3	{n=0}
-105830	会刊	65536	20250	3	{n=0}
-105831	家败人	85703	159287	1	null
-105832	家败人亡	65536	105831	3	{l=0}
-105833	家贫如	77910	159293	1	null
-105834	世青	65539	19990	1	null
-105835	为首	65536	20026	3	{v=27, vn=0}
-105836	创优	65536	21019	3	{v=0}
-105837	家贫如洗	65536	105833	3	{i=0}
-105838	习非	65550	20064	1	null
-105839	家道中	71988	160101	1	null
-105840	嘴皮	72050	22068	2	{n=1}
-105841	家道中落	65536	105839	3	{i=0}
-105842	园区	65536	22253	3	{n=14}
-105843	家里人	65536	160478	3	{n=4}
-105844	关于	65536	20851	3	{p=296, vn=0}
-105845	侧耳	65536	20391	3	{d=0}
-105846	乌药	65536	20044	3	{n=0}
-105847	垫板	65536	22443	3	{n=0}
-105848	创伤	65536	21019	3	{n=2}
-105849	家长里短	65536	122932	3	{i=0}
-105850	世面	65536	19990	3	{n=1}
-105851	安德镇	65536	150771	3	{ns=0}
-105852	中储	65536	20013	3	{nz=0}
-105853	家门口	65536	161530	3	{n=9}
-105854	保护色	65536	112241	3	{n=0}
-105855	容光焕	84399	111381	1	null
-105856	容光焕发	65536	105855	3	{i=0}
-105857	倚靠	65536	20506	3	{v=1}
-105858	家长会	65536	161425	3	{n=0}
-105859	容忍性	65536	115097	3	{n=0}
-105860	劳动对	65539	109156	1	null
-105861	冬候	65539	20908	1	null
-105862	容态可	80347	115149	1	null
-105863	容态可掬	65536	105862	3	{i=0}
-105864	上臂	65536	19978	3	{n=0}
-105865	容电器	65536	120577	3	{n=0}
-105866	容身之	83548	127095	1	null
-105867	佛爷	65536	20315	3	{n=1}
-105868	容身之地	65536	105866	3	{n=0}
-105869	容量瓶	65536	127899	3	{n=0}
-105870	区分	68892	21306	2	{v=10, vn=1}
-105871	宽以待	85725	122921	1	null
-105872	助剂	65536	21161	3	{n=0}
-105873	孟加	78156	23391	1	null
-105874	任职	65536	20219	3	{v=17, vd=0, vn=1}
-105875	块状	65536	22359	3	{n=0}
-105876	供给	65610	20379	2	{v=10, vn=31}
-105877	妻室	65536	22971	3	{n=0}
-105878	哥德	72134	21733	1	null
-105879	宽以待人	65536	105871	3	{l=1}
-105880	删除	65536	21024	3	{v=3}
-105881	宽大为	81307	125547	1	null
-105882	区划	67161	21306	2	{n=1, vn=0}
-105883	宽大为怀	65536	105881	3	{i=0}
-105884	宽宏大	68559	126163	1	null
-105885	办校	65536	21150	3	{v=0}
-105886	宽宏大量	65536	105884	3	{i=0}
-105887	宽容性	65536	126205	3	{n=0}
-105888	婆媳	65536	23110	3	{n=0}
-105889	始终不渝	65536	102736	3	{i=5}
-105890	宽宽绰	73397	126209	1	null
-105891	偏好	65536	20559	3	{n=0}
-105892	五台	65658	20116	2	{ns=1}
-105893	宽宽绰绰	65536	105890	3	{z=0}
-105894	宽心丸	65536	127239	3	{n=0}
-105895	宽打窄	75906	127895	1	null
-105896	墙上	65536	22681	3	{s=15}
-105897	会前	65536	20250	3	{t=2}
-105898	宽打窄用	65536	105895	3	{i=0}
-105899	大专班	65536	148397	3	{n=5}
-105900	唐太	71342	21776	1	null
-105901	佛牙	65536	20315	3	{n=0}
-105902	亚种	65536	20122	3	{n=3}
-105903	宽银幕	65536	140858	3	{n=0}
-105904	创作	67127	21019	2	{n=31, v=80, vn=151}
-105905	宛如	65536	23451	3	{v=9}
-105906	凯里	65536	20975	3	{ns=0}
-105907	区别	65663	21306	2	{d=0, n=12, v=9, vd=2, vn=0}
-105908	宾主	65536	23486	3	{n=3}
-105909	宾士域	65536	108644	3	{nz=0}
-105910	头昏脑胀	65536	103535	3	{i=0}
-105911	二汽	65536	20108	3	{j=1}
-105912	始创	65536	22987	3	{v=2}
-105913	医务	65978	21307	2	{b=20, n=0}
-105914	宾夕法	82303	108686	1	null
-105915	宾夕法尼	85803	105914	1	null
-105916	五合	65543	20116	1	null
-105917	夫妇	65536	22827	3	{n=41}
-105918	大忙时	66561	152947	1	null
-105919	低俗	65536	20302	3	{a=0}
-105920	余干	65778	20313	1	null
-105921	委内	72982	22996	1	null
-105922	余年	65536	20313	3	{n=0, q=0}
-105923	力克	65541	21147	2	{v=2}
-105924	办案	65536	21150	3	{v=30, vn=0}
-105925	宾夕法尼亚	81896	105915	2	{ns=0}
-105926	宾夕法尼亚州	65536	105925	3	{ns=0}
-105927	创佳	65536	21019	3	{nz=0}
-105928	壬巳	65536	22764	3	{m=0}
-105929	宾至如	81530	119148	1	null
-105930	夺占	65536	22842	3	{v=0}
-105931	劳动局	65536	109156	3	{n=4}
-105932	宾至如归	65536	105929	3	{i=1}
-105933	嬉水	65536	23305	3	{v=0}
-105934	冗长	65536	20887	3	{a=0}
-105935	宪制	65536	23466	3	{n=0}
-105936	宿命论	65536	116005	3	{n=0}
-105937	地震源	65536	154982	3	{n=0}
-105938	宿州市	65536	118406	3	{ns=1}
-105939	以外	65536	20197	3	{f=36}
-105940	余庆	65781	20313	1	null
-105941	宠儿	65536	23456	3	{n=1}
-105942	健胃	65536	20581	3	{v=0}
-105943	宿营地	65536	128205	3	{n=0}
-105944	宿豫县	65536	130323	3	{ns=2}
-105945	害人	85739	23475	2	{v=3}
-105946	宿迁市	65536	131177	3	{ns=1}
-105947	宿舍区	65536	127669	3	{n=2, s=0}
-105948	假劣	65536	20551	3	{j=0}
-105949	寂无行	85799	108692	1	null
-105950	到底	65536	21040	3	{d=15, v=6, vn=0}
-105951	创例	65536	21019	3	{n=1}
-105952	专车	65536	19987	3	{n=4}
-105953	寂无行人	65536	105949	3	{l=0}
-105954	寄人篱	85977	110621	1	null
-105955	妄动	65536	22916	3	{v=0}
-105956	寄人篱下	65536	105954	3	{i=0}
-105957	寄信人	65536	110916	3	{n=3}
-105958	不孕	65536	19981	2	{v=1}
-105959	奴隶式	65536	120418	3	{n=1}
-105960	九霄	65944	20061	2	{n=0}
-105961	助力	65536	21161	3	{b=0}
-105962	寄兴寓	81195	111319	1	null
-105963	吃大锅	65542	123550	1	null
-105964	凉席	65536	20937	3	{n=0}
-105965	两面	65921	20004	2	{m=2}
-105966	不孝	65699	19981	2	{a=1, an=1}
-105967	偷工	66422	20599	1	null
-105968	寄兴寓情	65536	105962	3	{l=1}
-105969	夫妻	76760	22827	2	{n=12}
-105970	学术性	65536	146433	3	{n=2}
-105971	寄卡人	65536	111812	3	{n=1}
-105972	寄宿生	65536	113954	3	{n=0}
-105973	埃及	65536	22467	3	{ns=56}
-105974	助动	65651	21161	1	null
-105975	不学	65556	19981	1	null
-105976	坦帕	65536	22374	3	{ns=0}
-105977	寄售品	65536	112273	3	{n=0}
-105978	写照	65536	20889	3	{n=8}
-105979	固件	65536	22266	3	{n=0}
-105980	寄存器	65536	113851	3	{n=0}
-105981	会务	65540	20250	2	{n=1}
-105982	寄居蟹	65536	114088	3	{n=0}
-105983	哗笑	65536	21719	3	{v=0}
-105984	妻小	65536	22971	3	{n=0}
-105985	壁垒	71042	22721	2	{n=5}
-105986	国际化	65536	153124	3	{v=8, vn=7}
-105987	二泉	65538	20108	1	null
-105988	寅吃	84630	23493	1	null
-105989	寅吃卯	74072	105988	1	null
-105990	寅吃卯粮	65536	105989	3	{i=0}
-105991	密不可	84995	129637	1	null
-105992	卓越	65536	21331	3	{a=15, an=0, nz=0}
-105993	密不可分	65536	105991	3	{l=6}
-105994	去向	65536	21435	3	{n=0}
-105995	专辑	65536	19987	3	{n=8}
-105996	借宿	65536	20511	3	{v=0}
-105997	完好无损	65536	105222	3	{i=1}
-105998	代码	65536	20195	3	{n=1}
-105999	倒刺	65536	20498	3	{n=0}
-106000	密云不雨	65536	106006	3	{i=0}
-106001	交大	65536	20132	3	{j=2}
-106002	寄生物	65536	120450	3	{n=0}
-106003	亲眷	65536	20146	3	{n=0}
-106004	体制	65571	20307	2	{n=363}
-106005	密克罗	82399	130467	1	null
-106006	密云不	67368	129769	1	null
-106007	中元	65538	20013	1	null
-106008	亲眼	65541	20146	2	{d=8}
-106009	凸镜	65536	20984	3	{n=0}
-106010	不安	65536	19981	3	{a=14, ad=0, an=3}
-106011	密克罗尼	70844	106005	1	null
-106012	占星	65955	21344	1	null
-106013	不完	65566	19981	1	null
-106014	交头	65537	20132	1	null
-106015	一石多鸟	65536	88349	3	{i=1}
-106016	九头鸟	65536	90136	3	{n=0}
-106017	乌骨鸡	65536	111791	3	{n=3}
-106018	冬候鸟	65536	105861	3	{n=0}
-106019	一鸣	65536	19968	1	null
-106020	不平则鸣	65536	86554	3	{i=0}
-106021	几维鸟	65536	105463	3	{n=0}
-106022	卵用鸡	65536	106478	3	{n=0}
-106023	五味	65590	20116	2	{nr=0}
-106024	吐绶鸡	65536	112653	3	{n=0}
-106025	呆若木鸡	65536	94185	3	{i=0}
-106026	啄木鸟	65536	95016	3	{n=0}
-106027	不定	65589	19981	2	{d=2}
-106028	夏候鸟	65536	127867	3	{n=0}
-106029	不宜	65536	19981	3	{v=14}
-106030	唐老鸭	65536	115843	3	{n=1}
-106031	乱点鸳鸯	65537	106035	2	{i=0}
-106032	天高任鸟	65584	100941	1	null
-106033	嫁鸡随鸡	65536	104476	3	{i=0}
-106034	孤军奋	78394	121066	1	null
-106035	乱点鸳	65536	99561	1	null
-106036	不宣	65551	19981	1	null
-106037	仰面	65536	20208	3	{d=0}
-106038	义诊	65536	20041	3	{v=5, vn=5}
-106039	咋舌	65536	21643	3	{v=2}
-106040	上色	65536	19978	3	{v=0}
-106041	孤掌难鸣	65536	104487	3	{i=1}
-106042	喉炎	65536	21897	3	{n=0}
-106043	密克罗尼西	85923	106011	1	null
-106044	奎松	65536	22862	3	{ns=1}
-106045	密克罗尼西亚	65536	106043	3	{ns=0}
-106046	临西	65579	20020	1	null
-106047	倒剪	65536	20498	3	{v=0}
-106048	夺取	65536	22842	3	{v=34}
-106049	密匝匝	65536	130933	3	{z=0}
-106050	低做	65536	20302	3	{v=0}
-106051	密密丛丛	65536	106060	3	{z=0}
-106052	叛离	65536	21467	3	{v=0}
-106053	中共	65898	20013	2	{j=84, n=0}
-106054	传呼	65720	20256	2	{v=0, vn=1}
-106055	中关	65562	20013	1	null
-106056	中兴	65536	20013	3	{nz=1, v=0}
-106057	密密匝匝	65536	107342	3	{z=1}
-106058	不容	65712	19981	2	{v=10}
-106059	号令	65536	21495	3	{n=3, v=0}
-106060	密密丛	86056	133150	1	null
-106061	密密实实	65536	109519	3	{z=0}
-106062	地对空	65536	139864	3	{b=0}
-106063	密密层层	65536	109683	3	{z=0}
-106064	右江	65536	21491	3	{ns=0}
-106065	刻本	65536	21051	3	{n=0}
-106066	同音词	65536	148202	3	{n=0}
-106067	密执安	82040	134847	2	{ns=1}
-106068	历朝	69888	21382	1	null
-106069	地图纸	65536	138589	3	{n=0}
-106070	密执安州	65536	106067	3	{ns=0}
-106071	密封圈	65536	133209	3	{n=0}
-106072	固体	67816	22266	2	{n=4}
-106073	丰饶	65536	20016	3	{a=0}
-106074	密歇根	82045	137119	1	null
-106075	密歇根州	65536	106074	3	{ns=0}
-106076	吐故	65810	21520	1	null
-106077	密特朗	65536	138961	3	{nr=1}
-106078	密苏里	82049	143143	1	null
-106079	密苏里州	65536	106078	3	{ns=2}
-106080	中册	65536	20013	3	{n=0}
-106081	剪子	65536	21098	3	{n=1}
-106082	墨西哥湾	65536	97894	3	{n=1, ns=0}
-106083	不寒	65552	19981	1	null
-106084	丹顶鹤	65536	105078	3	{n=5}
-106085	向前	65536	21521	3	{v=35}
-106086	密西西	78485	144855	1	null
-106087	交好	65536	20132	3	{v=0}
-106088	天主教派	65536	104391	3	{n=1}
-106089	密西西比	65536	106086	3	{ns=0}
-106090	密锣紧	65546	147835	1	null
-106091	密集型	65536	148254	3	{b=4, n=0}
-106092	寇仇	65536	23495	3	{n=0}
-106093	富丽堂	75751	124431	1	null
-106094	富丽堂皇	65536	106093	3	{i=1}
-106095	中军	65536	20013	3	{n=2}
-106096	中农	65536	20013	3	{n=0}
-106097	兼并	65549	20860	2	{v=89, vn=56}
-106098	夭折	65536	22829	3	{v=2, vn=0}
-106099	主因	65536	20027	3	{n=0}
-106100	余弦	65536	20313	3	{n=0}
-106101	凹陷	65536	20985	3	{a=0, v=1, vn=0}
-106102	寂寂	65536	23490	3	{z=0}
-106103	吸取	65536	21560	3	{v=23, vn=1}
-106104	富兰克	79591	125250	1	null
-106105	体力	65536	20307	3	{n=8}
-106106	夸大	80201	22840	2	{v=3, vd=0, vn=0}
-106107	二流	65580	20108	2	{b=0}
-106108	乡音	65536	20065	3	{n=4, nr=0}
-106109	始祖鸟	65536	115955	3	{n=0}
-106110	富兰克林	65536	106104	3	{nr=0}
-106111	中原逐鹿	65536	102462	3	{i=0}
-106112	倦鸟	65540	20518	1	null
-106113	兀鹫	65536	20800	3	{n=0}
-106114	好高鹜	65850	161427	1	null
-106115	医卫	65712	21307	1	null
-106116	使节	65536	20351	3	{n=7}
-106117	借尸	65538	20511	1	null
-106118	即可	65536	21363	3	{d=0, v=21, vn=0}
-106119	富国兴邦	65536	106121	3	{i=0}
-106120	富国强兵	65536	109647	3	{i=0}
-106121	富国兴	69089	126671	1	null
-106122	不对	65537	19981	2	{a=6}
-106123	夸夸	80205	22840	1	null
-106124	专递	65536	19987	3	{n=0, v=1, vn=0}
-106125	富士通杯	65536	119351	3	{nz=0}
-106126	富士山	65536	127165	3	{ns=0}
-106127	富存区	65536	127786	3	{n=2}
-106128	富宁县	65536	127827	3	{ns=1}
-106129	富强粉	65536	128780	3	{n=0}
-106130	寂寞	65536	23490	3	{a=9, an=1}
-106131	上苍	65536	19978	3	{n=0}
-106132	富拉尔	83614	129691	1	null
-106133	刚才	65536	21018	3	{t=4}
-106134	匹马	68092	21305	1	null
-106135	凶年	65536	20982	3	{n=0}
-106136	富拉尔基	65536	106132	3	{ns=0}
-106137	寂寥	65536	23490	3	{a=0, an=0}
-106138	中准	65697	20013	1	null
-106139	密码信	65536	140377	3	{n=0}
-106140	历来	65536	21382	3	{b=0, d=29}
-106141	冒火	65536	20882	3	{v=1}
-106142	富春江	65536	130551	3	{ns=0}
-106143	凤毛麟	65564	97875	1	null
-106144	乌蒙	65546	20044	1	null
-106145	富民政	74585	132067	1	null
-106146	不少	65536	19981	3	{m=224}
-106147	婆家	65536	23110	3	{n=0}
-106148	刻板	65536	21051	3	{a=1}
-106149	坑井	65536	22353	3	{n=0}
-106150	不辨菽麦	65536	99325	3	{i=0}
-106151	冬小麦	65536	108923	3	{n=4}
-106152	习题	65537	20064	2	{n=0}
-106153	夸奖	65536	22840	3	{v=2, vn=1}
-106154	卧病	65536	21351	3	{v=2}
-106155	不尚	65543	19981	1	null
-106156	娃子	65536	23043	3	{n=3}
-106157	再版	65536	20877	3	{v=6, vd=0, vn=0}
-106158	六神	65668	20845	1	null
-106159	富民政策	65536	106145	3	{l=1}
-106160	富源县	65536	132706	3	{ns=2}
-106161	富矿石	65536	135121	3	{n=0}
-106162	刊行	65536	21002	3	{v=1}
-106163	伴音	65536	20276	3	{n=1}
-106164	富纳富	80614	136837	1	null
-106165	夫婿	65536	22827	3	{n=0}
-106166	富纳富提	65536	106164	3	{n=0}
-106167	富莱堡	65536	138115	3	{ns=0}
-106168	富裕中农	65536	106169	3	{l=0}
-106169	富裕中	85276	139431	1	null
-106170	富贵浮云	65536	106198	3	{i=0}
-106171	一团乱麻	65536	85618	3	{l=0}
-106172	兜销	65536	20828	3	{v=0}
-106173	叫作	65536	21483	3	{v=1}
-106174	密密麻麻	65536	126700	3	{z=1}
-106175	密麻麻	65536	150291	3	{z=0}
-106176	书坛	65536	20070	3	{n=0}
-106177	富锦市	65536	142584	3	{ns=0}
-106178	区区	65536	21306	3	{b=2, z=4}
-106179	克复	65536	20811	3	{v=0}
-106180	一枕黄	65536	92053	1	null
-106181	人老珠黄	65536	95201	3	{i=0}
-106182	信口雌黄	65536	104147	3	{i=0}
-106183	命赴黄	66461	121315	1	null
-106184	剔除	65536	21076	3	{v=5}
-106185	仰韶	65541	20208	1	null
-106186	坑人	65536	22353	3	{v=0}
-106187	妄下雌黄	65536	104434	3	{i=0}
-106188	富阳市	65536	142853	3	{ns=0}
-106189	主场	65536	20027	3	{n=22}
-106190	不尽	65591	19981	2	{b=1, d=7, v=0}
-106191	吸吮	65536	21560	3	{v=0}
-106192	哥斯达黎	73548	102453	1	null
-106193	一团漆黑	65536	93959	3	{i=0}
-106194	乌黑黑	65536	112856	3	{z=0}
-106195	从师	65536	20174	3	{v=0}
-106196	墨黑黑	65536	134704	3	{z=0}
-106197	刀光	67102	20992	1	null
-106198	富贵浮	86057	140551	1	null
-106199	农学院	65536	114990	3	{n=3}
-106200	利勒哈默	65764	88291	1	null
-106201	不屈	65766	19981	2	{v=5, vn=0}
-106202	委办	79173	22996	1	null
-106203	宫中	65536	23467	3	{s=1}
-106204	国际台	65536	153124	3	{n=0}
-106205	大专生	65536	148397	3	{n=1}
-106206	外交特	72670	140581	1	null
-106207	兵丁	65536	20853	3	{n=0}
-106208	唯利	68825	21807	1	null
-106209	寒冬腊	79836	137821	1	null
-106210	不屑	65781	19981	2	{v=0}
-106211	债务额	65536	88894	3	{n=0}
-106212	寒冬腊月	65536	106209	3	{l=3}
-106213	寒号虫	65536	138408	3	{n=0}
-106214	世风	65561	19990	2	{n=3}
-106215	安安稳	73634	149701	1	null
-106216	会厌	65536	20250	2	{n=0}
-106217	云航	65536	20113	3	{j=0}
-106218	分光镜	65536	123029	3	{n=0}
-106219	兵不	66291	20853	1	null
-106220	寒意料	82432	141760	1	null
-106221	寒意料峭	65536	106220	3	{i=1}
-106222	传唤	65536	20256	3	{v=1, vn=2}
-106223	多多益	77462	143509	1	null
-106224	主坝	65536	20027	3	{n=0}
-106225	墙体	65536	22681	3	{n=1}
-106226	孩子	81060	23401	2	{n=327}
-106227	寒暄语	65536	143157	3	{n=0}
-106228	寒暑假	65536	143170	3	{j=1, n=1}
-106229	嫌弃	65536	23244	3	{v=1}
-106230	侠骨	65536	20384	3	{n=3}
-106231	史册	65536	21490	3	{n=9}
-106232	寒来暑	81785	143382	1	null
-106233	寒来暑往	65536	106232	3	{i=1}
-106234	八分	65544	20843	1	null
-106235	传唱	65536	20256	3	{v=1}
-106236	寒森森	65536	143775	3	{z=0}
-106237	寒武纪	65536	144407	3	{n=0, t=1}
-106238	士兵	65536	22763	3	{n=32}
-106239	便是	65536	20415	3	{v=0}
-106240	寒酸气	65536	154153	3	{n=0}
-106241	刀兵	65536	20992	3	{n=0}
-106242	寒风料	82456	156031	1	null
-106243	刀具	65536	20992	3	{n=0}
-106244	中到	65567	20013	1	null
-106245	寒风料峭	65536	106242	3	{l=2}
-106246	占有	65936	21344	2	{v=30, vn=7}
-106247	供职	65536	20379	3	{v=3}
-106248	孙健	65536	23385	3	{nr=500}
-106249	媒婆	65536	23186	3	{n=0}
-106250	假发	65536	20551	3	{n=1}
-106251	寓教于	86204	112490	1	null
-106252	寓教于乐	65536	106251	3	{i=0}
-106253	寝不安	82161	106281	1	null
-106254	一言九鼎	65536	85695	3	{i=2}
-106255	三足鼎	65536	107476	1	null
-106256	人声鼎	65536	111863	1	null
-106257	冒烟	65536	20882	3	{v=2}
-106258	兵临	65544	20853	1	null
-106259	一鼓	65536	19968	1	null
-106260	京韵大鼓	65536	88420	3	{n=1}
-106261	以资鼓	65573	119297	1	null
-106262	偃旗息鼓	65536	90235	3	{i=1}
-106263	南锣鼓	66940	141271	1	null
-106264	地花鼓	65536	149776	3	{n=4}
-106265	冻豆	65536	20923	1	null
-106266	大名鼎鼎	65536	119058	3	{i=2, l=2}
-106267	大张旗鼓	65536	100640	3	{i=3}
-106268	定音鼓	65536	161494	3	{n=0}
-106269	密锣紧鼓	65536	106090	3	{i=0}
-106270	寝不安席	65536	106253	3	{i=1}
-106271	划拨	65536	21010	3	{v=5, vn=1}
-106272	土拨鼠	65536	138922	3	{n=0}
-106273	充耳	67414	20805	1	null
-106274	嗜痂	70241	21980	1	null
-106275	含义	65536	21547	3	{n=18}
-106276	大袋鼠	65536	163365	3	{n=0}
-106277	奴役	65536	22900	3	{v=0, vn=1}
-106278	天南海	79287	149607	1	null
-106279	会友	65536	20250	3	{nz=4, v=1}
-106280	寝食难	82851	125435	1	null
-106281	寝不	82820	23517	1	null
-106282	划拳	65536	21010	3	{v=0}
-106283	倒卖	65536	20498	3	{v=4}
-106284	寝食难安	65536	106280	3	{l=2}
-106285	体协	65536	20307	3	{j=2}
-106286	嘴硬	65536	22068	3	{v=0}
-106287	右派	65536	21491	3	{n=1}
-106288	伪造	65562	20266	2	{v=19, vn=0}
-106289	奋起直	65762	118336	1	null
-106290	养女	65536	20859	3	{n=1}
-106291	书城	65536	20070	3	{n=0}
-106292	佛珠	65536	20315	3	{n=0}
-106293	察哈尔	75829	107010	2	{n=0, ns=0, nz=0}
-106294	察哈尔省	65536	106293	3	{ns=0}
-106295	判罚	65536	21028	3	{v=1}
-106296	储量	65536	20648	3	{n=32}
-106297	井队	65536	20117	3	{n=0}
-106298	伤逝	65536	20260	3	{vn=1}
-106299	一鼻	65546	19968	1	null
-106300	仰人鼻	65544	87437	1	null
-106301	呛鼻	70831	21595	1	null
-106302	别具	68651	21035	1	null
-106303	呼吸系	65778	112302	1	null
-106304	嗤之以鼻	65536	95356	3	{i=0}
-106305	察察为	80181	108825	1	null
-106306	关停	67568	20851	2	{v=8, vn=0}
-106307	察察为明	65536	106305	3	{i=0}
-106308	兵书	65536	20853	3	{n=4}
-106309	其实难	66596	100779	1	null
-106310	假名	65536	20551	3	{n=0}
-106311	判罪	65536	21028	3	{v=0}
-106312	呈献	65536	21576	3	{v=1}
-106313	参政议	65931	117528	1	null
-106314	倒卵	65538	20498	1	null
-106315	察尔汗	75900	108878	1	null
-106316	察尔汗盐	78071	106315	1	null
-106317	察尔汗盐湖	65536	106316	3	{ns=0}
-106318	卫生丸	65536	104874	3	{n=0}
-106319	兵乱	65536	20853	3	{n=0}
-106320	一齐	65536	19968	3	{d=7, m=0}
-106321	万马齐	65536	105184	1	null
-106322	举案齐	65536	94279	1	null
-106323	乌鲁木齐	65607	91955	2	{ns=35}
-106324	凝重	65536	20957	3	{a=2, z=6}
-106325	功不	67215	21151	1	null
-106326	参差不齐	65536	91374	3	{i=1}
-106327	候鸟	65536	20505	3	{n=1}
-106328	卤肉	65536	21348	3	{n=0}
-106329	双管齐	71454	135417	1	null
-106330	修正	66766	20462	2	{v=6, vn=1}
-106331	填平补齐	65536	100525	3	{l=0}
-106332	察微知	80139	109800	1	null
-106333	修武	65837	20462	2	{ns=0}
-106334	察微知晓	65536	106332	3	{l=0}
-106335	察言观	72948	120634	1	null
-106336	凹面	65545	20985	2	{n=0}
-106337	主城	65596	20027	1	null
-106338	功业	65536	21151	3	{n=3}
-106339	井陉	65662	20117	2	{ns=1}
-106340	会合	65551	20250	2	{v=4}
-106341	原生质	65536	132786	3	{n=0}
-106342	察言观色	65536	106335	3	{i=0}
-106343	寡不	80413	23521	1	null
-106344	会同	65536	20250	3	{v=29}
-106345	寡不敌	86100	106343	1	null
-106346	会后	65536	20250	3	{t=11}
-106347	寡不敌众	65536	106345	3	{i=1}
-106348	寡头政	78514	109198	1	null
-106349	寡头政治	65536	106348	3	{l=0}
-106350	始发	80381	22987	2	{v=1, vn=2}
-106351	寡廉鲜	73528	110627	1	null
-106352	妥妥	77810	22949	1	null
-106353	图画课	65536	132312	3	{n=0}
-106354	中办	65540	20013	2	{j=1}
-106355	寡廉鲜耻	65536	106351	3	{i=0}
-106356	中加	65536	20013	3	{nz=1}
-106357	寡言少	70538	121690	1	null
-106358	商品流	65568	128893	1	null
-106359	寡言少语	65536	106357	3	{l=1}
-106360	寤寐	81756	23524	1	null
-106361	寤寐思	86323	106360	1	null
-106362	助听	66670	21161	1	null
-106363	产能	65536	20135	3	{j=1, vn=0}
-106364	天涯海	65643	156351	1	null
-106365	凹凸镜	65536	88566	3	{n=0}
-106366	寤寐思之	65536	106361	3	{i=0}
-106367	不足挂齿	65536	91147	3	{i=0}
-106368	伶牙俐齿	65536	86327	3	{i=0}
-106369	何足挂齿	65536	90883	3	{i=1}
-106370	前臼齿	65536	133225	3	{n=0}
-106371	咬牙切齿	65536	94529	3	{i=1}
-106372	发射臂	65536	131676	3	{n=0}
-106373	唇亡齿	71247	95163	1	null
-106374	夫子	76761	22827	2	{n=1, nr=1}
-106375	化学元	65541	111696	1	null
-106376	党八	65542	20826	1	null
-106377	宋庆龄	65536	110659	3	{nr=5}
-106378	寥寥	84892	23525	2	{z=3}
-106379	寥寥可	80413	106378	1	null
-106380	孕吐	65536	23381	3	{v=0}
-106381	寥寥可数	65536	106379	3	{i=0}
-106382	劳动布	65536	109156	3	{n=0}
-106383	刀刃	65536	20992	3	{n=3}
-106384	寥寥无几	65536	110972	3	{i=1}
-106385	寥若晨	80244	116362	1	null
-106386	兼得	65536	20860	3	{v=1}
-106387	寥若晨星	65536	106385	3	{i=0}
-106388	寨主	65536	23528	3	{n=0}
-106389	寸土不	70637	108511	1	null
-106390	寸土不让	65536	106389	3	{l=0}
-106391	寸土寸金	65536	109952	3	{l=1}
-106392	寸土必争	65536	110925	3	{i=0}
-106393	叶公好龙	65536	92895	3	{i=0}
-106394	寸有所	68126	112585	1	null
-106395	一条龙	65536	92001	3	{n=9}
-106396	大头鱼	65536	151246	3	{n=0}
-106397	寸有所长	65536	106394	3	{i=0}
-106398	寸木岑	79395	112616	1	null
-106399	寸木岑楼	65536	106398	3	{i=0}
-106400	三西	65536	19977	3	{j=1}
-106401	寸步不	75248	113701	1	null
-106402	党内	65536	20826	3	{s=26}
-106403	寰宇	65536	23536	3	{n=0}
-106404	大脑皮	76613	161451	1	null
-106405	寸步难移	65536	125010	3	{i=0}
-106406	寸白虫	65536	116541	3	{n=0}
-106407	实验地	65536	160107	3	{n=1}
-106408	交媾	65536	20132	3	{v=0}
-106409	土地税	65536	135922	3	{n=0}
-106410	凉快	65536	20937	3	{a=2}
-106411	寸步不离	65536	106401	3	{i=0}
-106412	寸草寸金	65536	109980	3	{l=1}
-106413	对不住	65536	144456	3	{v=0}
-106414	倒叙	65536	20498	3	{v=0}
-106415	偏安	67375	20559	2	{v=2, vn=0}
-106416	对内搞	78456	145344	1	null
-106417	寸草不	76439	119817	1	null
-106418	嫁妆	65536	23233	3	{n=0}
-106419	对内搞活	65536	106416	3	{l=0}
-106420	会员	65620	20250	2	{n=22}
-106421	元器	67178	20803	1	null
-106422	寸草不生	65536	106417	3	{l=1}
-106423	下礼	65536	19979	1	null
-106424	史前	65536	21490	3	{b=7, t=0}
-106425	堪称	77761	22570	2	{v=16}
-106426	对劲儿	65536	145645	3	{a=1}
-106427	叫做	65536	21483	3	{v=9}
-106428	对口相	83661	145950	1	null
-106429	对口相声	65536	106428	3	{l=0}
-106430	对台戏	65536	145963	3	{n=0}
-106431	对外开放	65536	108922	3	{l=84}
-106432	对外商	65536	147281	3	{n=2}
-106433	别出	65732	21035	1	null
-106434	对外贸易	65536	120754	3	{l=23}
-106435	对得起	65536	148946	3	{v=1}
-106436	咸水	66324	21688	1	null
-106437	倒台	65536	20498	3	{v=0}
-106438	对抗性	65536	149714	3	{n=1}
-106439	义赛	65536	20041	3	{v=0}
-106440	姿态	65536	23039	3	{n=14}
-106441	够劲	78786	22815	1	null
-106442	呈现	65536	21576	3	{v=58, vn=0}
-106443	对撞机	65536	150233	3	{n=1}
-106444	对数表	65536	150443	3	{n=0}
-106445	对照表	65536	153506	3	{n=0}
-106446	对比度	65536	152079	3	{n=0}
-106447	对牛弹	76701	153750	1	null
-106448	对流云	65536	152444	3	{n=0}
-106449	对牛弹琴	65536	106447	3	{i=0}
-106450	对症下	72805	154626	1	null
-106451	奴性	65536	22900	3	{n=0}
-106452	对症下药	65536	106450	3	{i=4}
-106453	击球	65536	20987	3	{v=0, vn=0}
-106454	刀削	65557	20992	1	null
-106455	功亏	68739	21151	1	null
-106456	对称性	65536	155691	3	{n=0}
-106457	对立统一	65536	109654	3	{n=0}
-106458	变色龙	65536	134269	3	{n=1}
-106459	对答如	78497	156047	1	null
-106460	姨丈	65536	23016	3	{n=0}
-106461	便服	65536	20415	3	{n=0}
-106462	大有文	68605	154787	1	null
-106463	天下无	78948	148251	1	null
-106464	对立物	65536	155910	3	{n=1}
-106465	低凹	65536	20302	3	{a=0}
-106466	对答如流	65536	106459	3	{i=0}
-106467	对簿公	83938	156282	1	null
-106468	对簿公堂	65536	106467	3	{i=2}
-106469	卵生	65536	21365	3	{b=0}
-106470	减下	65536	20943	3	{v=2}
-106471	三视	65536	19977	1	null
-106472	对胃口	65536	157438	3	{l=0}
-106473	对角线	65536	159757	3	{n=0}
-106474	卜辞	65536	21340	3	{n=0}
-106475	中北	65536	20013	3	{nz=0}
-106476	对讲机	65536	160237	3	{n=0}
-106477	地方志	65536	142360	3	{n=0}
-106478	卵用	65541	21365	1	null
-106479	对顶角	65536	163505	3	{n=0}
-106480	寸草不留	65536	106417	3	{i=0}
-106481	东经	65536	19996	3	{b=3}
-106482	别别	65564	21035	1	null
-106483	三角	65544	19977	2	{n=2}
-106484	对话器	65536	160280	3	{n=0}
-106485	寺沟乡	65536	111930	3	{ns=0}
-106486	威慑性	65536	117441	3	{n=0}
-106487	上下齐	65544	92625	1	null
-106488	寻亲访	85038	114094	1	null
-106489	寻亲访友	65536	106488	3	{l=0}
-106490	净胜	65552	20928	1	null
-106491	寻呼台	65536	115576	3	{n=10}
-106492	寺坡	65536	23546	3	{ns=0}
-106493	代称	65536	20195	3	{n=0}
-106494	寻开心	65536	118268	3	{v=0}
-106495	侧芽	65536	20391	3	{n=0}
-106496	寻枝摘	85003	120473	1	null
-106497	寻枝摘叶	65536	106496	3	{i=0}
-106498	定向分	68162	144116	1	null
-106499	唐宁	65601	21776	1	null
-106500	寻根究	82288	120629	1	null
-106501	寻根究底	65536	106500	3	{i=0}
-106502	余悸	65536	20313	3	{n=0}
-106503	寻欢作	86458	121374	1	null
-106504	倾覆	65536	20542	3	{v=0}
-106505	地震烈	72970	154982	1	null
-106506	寻欢作乐	65536	106503	3	{i=0, v=0}
-106507	寻死觅	78545	121463	1	null
-106508	寻死觅活	65536	106507	3	{i=0}
-106509	寻短见	65536	124649	3	{v=0}
-106510	伞齿	65536	20254	1	null
-106511	中医	65570	20013	2	{n=26}
-106512	寻章摘	85037	125404	1	null
-106513	冷不防	65536	112150	3	{d=0}
-106514	寻章摘句	65536	106512	3	{i=0}
-106515	寻花问	79907	127405	1	null
-106516	寡人	65536	23521	3	{n=0}
-106517	再现	65536	20877	3	{v=23, vn=3}
-106518	寻花问柳	65536	106515	3	{i=0}
-106519	导向管	65536	112644	3	{n=4}
-106520	导尿管	65536	114738	3	{n=2}
-106521	导弹艇	65536	115500	3	{n=0}
-106522	嫌怨	65536	23244	3	{n=0}
-106523	导流洞	65536	119092	3	{n=0}
-106524	中午	65536	20013	3	{t=26}
-106525	导游图	65536	119339	3	{n=0}
-106526	导演铃	65536	119559	3	{n=0}
-106527	凸面	65543	20984	2	{n=0}
-106528	太平无	80849	119957	1	null
-106529	三言	65637	19977	1	null
-106530	中华	65856	20013	2	{nr=0, nz=110}
-106531	二滩	65536	20108	3	{ns=1}
-106532	士力	71363	22763	1	null
-106533	导火索	65536	119902	3	{n=0}
-106534	导热性	65536	120032	3	{n=0}
-106535	党刊	65536	20826	3	{n=6}
-106536	堆沟	69506	22534	1	null
-106537	导电性	65536	121128	3	{n=0}
-106538	导磁率	65536	122036	3	{n=0}
-106539	中南	65542	20013	2	{f=0, j=0, ns=5, nz=0, s=2}
-106540	偏将	65536	20559	3	{n=0}
-106541	导购员	65536	127264	3	{n=0}
-106542	季风气	82983	121861	1	null
-106543	寿光市	65536	113993	3	{ns=2}
-106544	友朋	65536	21451	3	{n=1}
-106545	便条	65536	20415	3	{n=1}
-106546	器皿	65536	22120	3	{n=0}
-106547	导航仪	65536	124445	3	{n=0}
-106548	寿宁县	65536	116609	3	{ns=0}
-106549	寿比南	82886	120788	1	null
-106550	仔鸡	65536	20180	3	{n=0}
-106551	寿比南山	65536	106549	3	{i=0}
-106552	唐家	74673	21776	1	null
-106553	压缩饼	67119	124648	1	null
-106554	寿终正	83041	125640	1	null
-106555	刺丝	65536	21050	3	{n=0}
-106556	前程锦	65617	131192	1	null
-106557	勘验	65536	21208	3	{v=1, vn=3}
-106558	寿终正寝	65536	106554	3	{i=2}
-106559	中卫	65558	20013	2	{j=0, n=0, ns=0, nz=0}
-106560	四季青	69376	133319	1	null
-106561	封冻期	65536	129800	3	{t=0}
-106562	大使馆	65536	148761	3	{n=33}
-106563	其父	65536	20854	3	{r=1}
-106564	封口机	65536	130352	3	{n=0}
-106565	封妻荫	83190	131848	1	null
-106566	封妻荫子	65536	106565	3	{i=0}
-106567	后来者	65536	137102	3	{n=2}
-106568	下种	65536	19979	3	{v=2, vn=0}
-106569	封官许	81677	132325	1	null
-106570	俯首	65731	20463	2	{v=0}
-106571	刺中	65536	21050	3	{v=0}
-106572	封官许愿	65536	106569	3	{i=1}
-106573	嫡孙	65536	23265	3	{n=0}
-106574	创出	65536	21019	3	{v=11}
-106575	宇航局	65536	115388	3	{n=4}
-106576	封山育	80060	132542	1	null
-106577	体味	65536	20307	3	{v=1, vn=1}
-106578	关公	65536	20851	3	{nr=23}
-106579	封山育林	65536	106576	3	{i=1}
-106580	倾角	65536	20542	3	{n=0}
-106581	封建主义	65536	106593	3	{n=0}
-106582	伏贴	65536	20239	3	{a=0}
-106583	封建割据	65536	107672	3	{l=0}
-106584	婴幼	82399	23156	2	{j=0}
-106585	封建把头	65536	111792	3	{l=0}
-106586	八卦	65543	20843	2	{n=0}
-106587	封建残余	65536	114097	3	{n=0}
-106588	势派	65536	21183	3	{n=0}
-106589	封建王朝	65536	116145	3	{l=0}
-106590	创刊	66770	21019	2	{v=20, vn=2}
-106591	友机	65536	21451	3	{n=0}
-106592	封建礼教	65536	117602	3	{n=1}
-106593	封建主	86540	133191	2	{n=0}
-106594	嫁娶	65536	23233	3	{v=1}
-106595	匀速	65571	21248	2	{b=0, d=0}
-106596	孔庙	65536	23380	3	{n=0}
-106597	做梦	65536	20570	3	{v=4}
-106598	封建社会	65536	117604	3	{l=4}
-106599	孔府	65536	23380	3	{n=1}
-106600	嫌恶	65536	23244	3	{v=0}
-106601	封建迷信	65536	123421	3	{l=4}
-106602	减亏	65536	20943	3	{v=3, vn=0}
-106603	关内	65536	20851	3	{f=0, s=0}
-106604	圣诞票	65536	144776	3	{n=2}
-106605	封资修	65536	145041	3	{j=1}
-106606	削铁	65718	21066	1	null
-106607	别动	65548	21035	1	null
-106608	封锁线	65536	147022	3	{n=0}
-106609	封闭式	65536	147258	3	{b=0, n=2}
-106610	封闭疗法	65536	112377	3	{l=0}
-106611	中原	65582	20013	2	{n=0, ns=7, nz=0}
-106612	封面纸	65536	147631	3	{n=0}
-106613	募集	65536	21215	3	{v=15, vn=1}
-106614	下移	65536	19979	3	{v=0}
-106615	射击场	65536	106986	3	{n=1}
-106616	不巧	65536	19981	3	{a=0, d=3}
-106617	射手榜	65536	111162	3	{n=0}
-106618	切入	66756	20999	2	{v=2, vn=0}
-106619	射洪县	65536	113945	3	{ns=0}
-106620	命名	65536	21629	3	{n=1, v=20, vn=3}
-106621	创利	65536	21019	3	{v=3, vn=1}
-106622	冒牌	65551	20882	2	{b=1}
-106623	射流技	80213	113968	1	null
-106624	室内	85653	23460	2	{n=0, s=33}
-106625	司务	65570	21496	1	null
-106626	减产	65536	20943	3	{v=1, vn=2}
-106627	不已	65536	19981	3	{d=2, v=13}
-106628	射流技术	65536	106623	3	{l=0}
-106629	商业法	65536	127190	3	{n=0}
-106630	化学剂	65536	111696	3	{n=0}
-106631	射精管	65536	117933	3	{n=0}
-106632	射阳县	65536	124450	3	{ns=0}
-106633	将信将	76539	108562	1	null
-106634	创制	65536	21019	3	{v=0}
-106635	低劣	65536	20302	3	{a=1}
-106636	将信将疑	65536	106633	3	{i=1}
-106637	将功赎	74024	109264	1	null
-106638	从心	65565	20174	1	null
-106639	五四	65554	20116	1	null
-106640	册页	65536	20876	3	{n=0}
-106641	察南	65536	23519	3	{ns=0}
-106642	将功赎罪	65536	106637	3	{i=0}
-106643	典雅	65674	20856	2	{a=0, an=0}
-106644	委员	82541	22996	2	{n=185}
-106645	减人	65541	20943	2	{v=1}
-106646	将心比	82135	112628	1	null
-106647	奥斯曼	77146	113630	1	null
-106648	寄存处	65536	113851	3	{n=0}
-106649	凶恶	65536	20982	3	{a=1}
-106650	将心比心	65536	106646	3	{i=0}
-106651	夏令营	65536	127558	3	{n=0}
-106652	害兽	65536	23475	3	{n=0}
-106653	将才学	65536	113278	3	{n=1}
-106654	家长制	65536	161425	3	{n=1}
-106655	寓于	65536	23507	3	{v=0}
-106656	宋代	65536	23435	3	{t=2}
-106657	将计就	70914	123858	1	null
-106658	会商	65536	20250	3	{v=1, vn=1}
-106659	将计就计	65536	106657	3	{i=0}
-106660	唱主	65613	21809	1	null
-106661	中发	65536	20013	3	{j=1, nz=1}
-106662	丹麦	65537	20025	2	{j=0, ns=20}
-106663	将错就	68496	126282	1	null
-106664	传回	65536	20256	3	{v=0}
-106665	将错就错	65536	106663	3	{i=0}
-106666	共度	65536	20849	3	{v=12}
-106667	团体赛	65536	123337	3	{n=0}
-106668	多管齐	79510	152348	1	null
-106669	中叙	65536	20013	3	{nr=0}
-106670	尉健行	65536	106685	3	{nr=66}
-106671	剃须	67639	21059	1	null
-106672	凶悍	65536	20982	3	{an=0}
-106673	咄咄逼	74216	94366	1	null
-106674	尉氏县	65536	113767	3	{ns=0}
-106675	尉犁县	65536	115417	3	{ns=0}
-106676	将军林	65536	109004	3	{n=1}
-106677	咸津	66631	21688	1	null
-106678	从快	65536	20174	3	{d=5}
-106679	寰岛	65536	23536	3	{nz=0}
-106680	中古	65536	20013	3	{t=1}
-106681	嫣红	65536	23267	3	{b=0}
-106682	尊夫人	65536	109935	3	{n=0}
-106683	害农	65536	23475	3	{v=0}
-106684	书套	65536	20070	3	{n=0}
-106685	尉健	71778	23561	1	null
-106686	党务	65536	20826	3	{n=6}
-106687	尊师重	80743	111180	1	null
-106688	尊师重教	65536	106687	3	{l=5}
-106689	嗜睡	65536	21980	3	{v=0}
-106690	填平	65608	22635	2	{v=2, vn=1}
-106691	尊老敬老	65536	106695	3	{l=2}
-106692	唯名	65762	21807	1	null
-106693	劳动强	66100	109156	1	null
-106694	尊老爱幼	65536	109964	3	{i=10}
-106695	尊老敬	73922	119877	1	null
-106696	小三峡	65536	157713	3	{ns=1}
-106697	小不点	85903	157717	1	null
-106698	中叶	65536	20013	3	{t=6}
-106699	中号	65536	20013	3	{b=0}
-106700	以小	65559	20197	1	null
-106701	完美无	75462	125299	1	null
-106702	小不点儿	65536	106697	3	{n=0}
-106703	偷情	65536	20599	3	{v=0}
-106704	小业主	65536	157730	3	{n=0}
-106705	哨塔	65536	21736	3	{n=0}
-106706	减价	65536	20943	3	{v=1, vd=0, vn=1}
-106707	小两口	65536	157740	3	{n=0}
-106708	小丰营	80261	157752	1	null
-106709	小个儿	65536	157746	3	{n=0}
-106710	小丰营村	65536	106708	3	{ns=3}
-106711	小九九	65536	157797	3	{n=0}
-106712	小买卖	65536	157816	3	{n=1}
-106713	小于号	65536	157846	3	{n=0}
-106714	小五金	65536	157852	3	{n=0}
-106715	士卒	65536	22763	3	{n=0}
-106716	号兵	65536	21495	3	{n=1}
-106717	小井庄	65536	157853	3	{ns=3}
-106718	小人儿书	65536	106723	3	{n=0}
-106719	先下	65562	20808	1	null
-106720	小人得志	65536	110395	3	{i=0}
-106721	冒犯	65536	20882	3	{v=1}
-106722	中后	65542	20013	1	null
-106723	小人儿	86648	157890	2	{n=0}
-106724	小企业	65536	157961	3	{n=21}
-106725	姐弟	65536	22992	3	{n=0}
-106726	宜丰	84000	23452	2	{ns=0}
-106727	上蔡	65541	19978	1	null
-106728	奖优	68591	22870	1	null
-106729	小便宜	65536	158151	3	{n=0}
-106730	先世	65536	20808	3	{n=0}
-106731	勃郎	65958	21187	1	null
-106732	小偷小	81015	158335	1	null
-106733	关切	65536	20851	3	{a=2, an=1, v=3, vn=6}
-106734	初级阶	65539	127024	1	null
-106735	小偷小摸	65536	106732	3	{l=0}
-106736	小僧人	65536	158447	3	{n=0}
-106737	小儿科	65536	158535	3	{n=1}
-106738	创办	65536	21019	3	{v=68, vn=0}
-106739	唐山	70865	21776	2	{ns=11}
-106740	垃圾站	65536	97441	3	{n=0}
-106741	小儿麻痹	76592	116187	1	null
-106742	小伙伴	65536	157985	3	{n=1}
-106743	小儿麻痹症	65536	106741	3	{n=0}
-106744	小兄弟	65536	158540	3	{n=3}
-106745	小先生	65536	158544	3	{n=0}
-106746	压力锅	65536	113242	3	{n=0}
-106747	小册子	65536	158612	3	{n=1}
-106748	室内剧	65536	106624	3	{n=0}
-106749	别无长	65561	111527	1	null
-106750	共建	65544	20849	2	{j=0, v=16, vn=7}
-106751	小农经	78771	158628	1	null
-106752	中听	65536	20013	3	{a=0}
-106753	小农经济	65536	106751	3	{n=0}
-106754	小分队	65536	158734	3	{n=11}
-106755	不干	65769	19981	1	null
-106756	不平	65537	19981	2	{a=3, an=0, v=0}
-106757	小到中	68142	158776	1	null
-106758	克子	65536	20811	3	{q=1}
-106759	妖冶	65536	22934	3	{a=0}
-106760	争长	65547	20105	1	null
-106761	不幸	65536	19981	3	{a=8, ad=4, an=0, d=0, n=7}
-106762	小到中雨雪	65536	106774	3	{l=1, n=0}
-106763	埃因	65584	22467	1	null
-106764	假嗓	65690	20551	1	null
-106765	割线	65536	21106	3	{n=0}
-106766	小前提	65536	158805	3	{n=0}
-106767	养子	65536	20859	3	{n=0}
-106768	宋体	81823	23435	2	{n=1}
-106769	小剧场	65536	158831	3	{n=2}
-106770	囚禁	65536	22234	3	{v=0, vn=0}
-106771	佳绩	65536	20339	3	{n=13}
-106772	基本点	65536	131753	3	{n=5}
-106773	例题	65536	20363	3	{n=0}
-106774	小到中雨	68128	106757	2	{l=19, n=0}
-106775	小动作	65536	158896	3	{n=1}
-106776	小到中雪	65536	106757	3	{l=11, n=0}
-106777	侨领	65536	20392	3	{j=0, n=2}
-106778	主妇	65536	20027	3	{n=7}
-106779	切分	65536	20999	3	{v=0}
-106780	切切	65858	20999	2	{d=0, z=0}
-106781	小卖部	65536	159070	3	{n=1}
-106782	小博士	65536	159074	3	{nz=0}
-106783	小叔子	65536	159196	3	{n=0}
-106784	小口径	65536	159211	3	{b=0}
-106785	代笔	65536	20195	3	{v=1}
-106786	危及	65536	21361	3	{v=20}
-106787	历史观	65536	101161	3	{n=3}
-106788	停学	65536	20572	3	{v=0}
-106789	小可怜	85995	159223	1	null
-106790	厂主	65536	21378	3	{n=0}
-106791	冬去	65616	20908	1	null
-106792	交尾	65536	20132	3	{v=0}
-106793	减低	65536	20943	3	{v=0}
-106794	小可怜儿	65536	106789	3	{n=0}
-106795	出头露	65556	123998	1	null
-106796	启封	65536	21551	3	{vn=1}
-106797	小叶儿	73209	159230	1	null
-106798	京西	65536	20140	3	{ns=2}
-106799	小叶儿茶	65536	106797	3	{l=0}
-106800	小吃店	65536	159243	3	{n=0}
-106801	小合唱	65536	159248	3	{n=1}
-106802	实用化	65536	150535	3	{v=1, vn=1}
-106803	小名头	65536	159253	3	{n=1}
-106804	唯命	68830	21807	1	null
-106805	便桥	65536	20415	3	{n=0}
-106806	垫款	65536	22443	3	{n=1, v=0}
-106807	司南	65536	21496	3	{n=0}
-106808	分析语	65536	128732	3	{n=0}
-106809	吴窑	67676	21556	1	null
-106810	债额	65536	20538	3	{n=0}
-106811	园圃	65536	22253	3	{n=0}
-106812	土地管	66857	135922	1	null
-106813	小品文	65536	159433	3	{n=1}
-106814	小商品	65536	159566	3	{n=0}
-106815	小器作	65536	159856	3	{n=0}
-106816	实证化	65536	156320	3	{v=3}
-106817	小四轮	65536	159971	3	{n=0}
-106818	刺伤	65536	21050	3	{v=0}
-106819	卵白	65536	21365	3	{n=0}
-106820	宜于	65536	23452	3	{v=0}
-106821	小圈子	65536	160016	3	{n=1}
-106822	便桶	65536	20415	3	{n=0}
-106823	小夜曲	65536	160548	3	{n=0}
-106824	夺回	65536	22842	3	{v=0}
-106825	医嘱	65536	21307	3	{n=1}
-106826	勇猛	65536	21191	3	{a=1, ad=0, an=0}
-106827	嗤笑	65536	21988	3	{v=0}
-106828	小天鹅	65536	160561	3	{nz=1}
-106829	嘉义	65536	22025	3	{ns=0}
-106830	大理石	65536	158112	3	{n=3}
-106831	孔径	65536	23380	3	{n=0}
-106832	吐根	65557	21520	2	{n=0}
-106833	修浚	65536	20462	3	{v=0}
-106834	小型化	65536	160147	3	{v=0}
-106835	小姨子	65536	160752	3	{n=0}
-106836	小娘子	65536	160800	3	{n=0}
-106837	刀叉	65536	20992	3	{n=0}
-106838	小姑娘	65536	160729	3	{n=5}
-106839	小媳妇	65536	160955	3	{n=1}
-106840	东耶	65544	19996	1	null
-106841	小字辈	65536	161119	3	{n=0}
-106842	不廉	65536	19981	3	{a=0}
-106843	小孩子	65536	161137	3	{n=8}
-106844	声色犬	65592	142324	1	null
-106845	乱购	65536	20081	3	{v=0}
-106846	小宝宝	65536	161189	3	{n=2}
-106847	切削	65570	20999	2	{v=1, vn=0}
-106848	中和	65551	20013	2	{nz=0, v=0}
-106849	小家子气	65536	110013	3	{n=1}
-106850	先于	65536	20808	3	{v=2}
-106851	两高	65933	20004	1	null
-106852	坏死	65536	22351	3	{v=3, vn=0}
-106853	劣货	65536	21155	3	{n=0}
-106854	劣质	67071	21155	2	{b=5}
-106855	主委	65536	20027	3	{n=0}
-106856	园地	65536	22253	3	{n=7}
-106857	妥实	65536	22949	3	{a=0}
-106858	小家碧玉	65536	117524	3	{i=0}
-106859	实物地	74359	149832	1	null
-106860	小学校	65536	161134	3	{n=3}
-106861	哨声	66839	21736	2	{n=0}
-106862	小尾寒	74218	161350	1	null
-106863	刀口	65536	20992	3	{n=0}
-106864	宜人	65536	23452	3	{a=4}
-106865	小小子	65536	161303	3	{n=0}
-106866	够呛	65536	22815	3	{v=1}
-106867	低压	65536	20302	3	{n=11}
-106868	小尾寒羊	65536	106862	3	{n=0}
-106869	养家	65574	20859	2	{v=0}
-106870	东联	65536	19996	3	{nz=1}
-106871	云蒸	65540	20113	1	null
-106872	嘲讽	65536	22066	3	{v=0, vn=0}
-106873	小山子	68659	161401	1	null
-106874	小山子镇	65536	106873	3	{ns=0}
-106875	小岗村	65536	161439	3	{ns=0}
-106876	中咨	65536	20013	3	{j=0}
-106877	小崽子	65536	161605	3	{n=0}
-106878	小巧玲	77230	161775	1	null
-106879	小巧玲珑	65536	106878	3	{i=1}
-106880	依葫	65537	20381	1	null
-106881	小巫见	84059	161779	1	null
-106882	小巫见大	82848	106881	1	null
-106883	信不	65538	20449	1	null
-106884	再生	67888	20877	2	{v=3, vn=0}
-106885	国家地	65553	138133	1	null
-106886	小家伙	65536	161214	3	{n=1}
-106887	切割	66095	20999	2	{v=3, vn=0}
-106888	儿马	65536	20799	3	{n=0}
-106889	封闭性	65536	147258	3	{n=0}
-106890	够味	78787	22815	1	null
-106891	小巫见大巫	65536	106882	3	{i=0}
-106892	小市民	65536	161802	3	{n=0}
-106893	小广播	65536	161927	3	{n=0, v=0}
-106894	先人	65880	20808	2	{n=3}
-106895	下笔	65543	19979	2	{v=2}
-106896	小康县	65536	161983	3	{n=1}
-106897	太平村	65536	119957	3	{ns=1}
-106898	吞没	65536	21534	3	{v=0}
-106899	小张庄	65536	162088	3	{ns=0}
-106900	到手	65536	21040	3	{v=5}
-106901	上藏	65538	19978	1	null
-106902	小循环	65536	162226	3	{n=0}
-106903	千钧重	65615	132561	1	null
-106904	小心翼翼	65536	109152	3	{i=4}
-106905	大半生	65536	149732	3	{n=1}
-106906	小心谨慎	65536	112268	3	{i=0}
-106907	剪床	65536	21098	3	{n=0}
-106908	大西洋	65536	163609	3	{ns=15}
-106909	小恩小	82111	162417	1	null
-106910	两鬓	65536	20004	3	{n=1}
-106911	小恩小惠	65536	106909	3	{i=0}
-106912	小心眼	65536	162251	3	{n=0}
-106913	小意思	65536	162583	3	{n=0}
-106914	小户人	83437	162879	1	null
-106915	小户人家	65536	106914	3	{n=0}
-106916	小手小	73867	162899	1	null
-106917	小手小脚	65536	106916	3	{i=0}
-106918	信丰	65836	20449	1	null
-106919	小打小	68528	162907	1	null
-106920	刑罚	65928	21009	2	{n=3}
-106921	小打小闹	65536	106919	3	{l=2}
-106922	小抄儿	65536	162956	3	{n=0}
-106923	小报告	65536	162989	3	{n=0}
-106924	坑农	65536	22353	3	{v=3, vn=0}
-106925	召见	65536	21484	3	{v=2}
-106926	代管	65536	20195	3	{v=0, vn=0}
-106927	小拇指	65536	163023	3	{n=0}
-106928	办水	65542	21150	2	{j=1}
-106929	小括号	65536	163060	3	{n=0}
-106930	写生	65536	20889	3	{v=2, vn=0}
-106931	小推车	65536	163248	3	{n=1}
-106932	小提琴	81770	163288	2	{n=6}
-106933	小提琴手	65536	106932	3	{n=0}
-106934	小数点	65536	163704	3	{n=0}
-106935	对抗战	65536	149714	3	{n=1}
-106936	先令	65536	20808	3	{n=0, q=0}
-106937	别史	65536	21035	3	{n=0}
-106938	小日子	65536	163821	3	{n=0}
-106939	型砂	65536	22411	3	{n=0}
-106940	小时候	65536	163838	3	{n=13, t=0}
-106941	小曹娥	68729	164097	1	null
-106942	别号	65536	21035	3	{n=0}
-106943	信义	65536	20449	3	{n=0}
-106944	小曹娥镇	65536	106941	3	{ns=0}
-106945	小有名	79279	164113	1	null
-106946	导火线	65536	119902	3	{n=0}
-106947	小有名气	65536	106945	3	{l=1}
-106948	下等	65536	19979	3	{b=0}
-106949	小朋友	65536	164115	3	{n=10}
-106950	小木车	65536	164144	3	{n=1}
-106951	小本生	82105	164148	1	null
-106952	小本生意	65536	106951	3	{l=1}
-106953	养尊	65731	20859	1	null
-106954	即兴诗	65536	105483	3	{n=0}
-106955	小本经营	65536	109431	3	{l=0}
-106956	垃圾箱	65536	97441	3	{n=3}
-106957	小标题	65536	164367	3	{n=0}
-106958	小桥流	79259	164461	1	null
-106959	小桥流水	65536	106958	3	{i=0}
-106960	小汽车	65536	165509	3	{n=9}
-106961	下策	65536	19979	3	{n=0}
-106962	小气候	65536	165404	3	{n=2}
-106963	小河子	80516	165563	1	null
-106964	别名	65536	21035	3	{n=0}
-106965	小河子村	65536	106963	3	{ns=1}
-106966	刨除	65536	21032	3	{v=2}
-106967	司号	71332	21496	2	{n=0}
-106968	小浪底	65536	165746	3	{ns=10}
-106969	八哥	65536	20843	3	{n=0}
-106970	保不	65598	20445	1	null
-106971	小淘气	65536	165856	3	{n=0}
-106972	偷懒	65536	20599	3	{v=0}
-106973	季度	65536	23395	3	{n=22, t=0}
-106974	小炉儿	85696	166545	1	null
-106975	党参	65536	20826	3	{n=0}
-106976	小炉儿匠	65536	106974	3	{n=0}
-106977	壬戌	65536	22764	3	{m=0}
-106978	三证	65536	19977	3	{j=0}
-106979	小熊座	65536	166802	3	{n=0}
-106980	不当	65536	19981	3	{a=10, ad=0}
-106981	三评	65696	19977	1	null
-106982	唯唯	65699	21807	1	null
-106983	小燕子	65536	166877	3	{n=0}
-106984	二炮	65536	20108	3	{j=4}
-106985	却说	65536	21364	3	{v=5}
-106986	射击	84285	23556	2	{v=5, vn=14}
-106987	冲凉	65536	20914	3	{v=0}
-106988	小猫熊	65536	167219	3	{n=0}
-106989	主婚	65818	20027	2	{v=0}
-106990	小球藻	65536	167435	3	{n=0}
-106991	小生产	74220	167719	2	{n=2}
-106992	亲笔	65719	20146	2	{b=0, d=5}
-106993	小生产者	65536	106991	3	{n=0}
-106994	小百货	65536	168070	3	{n=0}
-106995	克尽	65571	20811	1	null
-106996	小石城	65536	168443	3	{ns=0}
-106997	小白菜	65536	168069	3	{n=1}
-106998	小礼拜	65536	168772	3	{n=0}
-106999	小秋收	65536	168915	3	{n=0}
-107000	小站稻	65536	169185	3	{n=1}
-107001	奴才	70822	22900	2	{n=0}
-107002	小算盘	65536	169375	3	{n=0}
-107003	小精灵	65536	169670	3	{nz=3}
-107004	厂休	65536	21378	3	{n=0}
-107005	小米粥	65536	169595	3	{n=0}
-107006	东胜	65536	19996	3	{ns=0, nz=0}
-107007	凤辇	65536	20964	3	{n=1}
-107008	小组长	65536	170188	3	{n=0}
-107009	乱跑	65536	20081	3	{v=0}
-107010	察哈	82721	23519	1	null
-107011	小老婆	65536	170505	3	{n=0}
-107012	小聪明	65536	170610	3	{n=0}
-107013	中唱	65536	20013	3	{j=2}
-107014	小肚鸡肠	65536	126697	3	{i=0}
-107015	小肚儿	65536	170658	3	{n=0}
-107016	小肠串	79349	170664	1	null
-107017	小肠串气	65536	107016	3	{l=0}
-107018	小胡桃	65536	170729	3	{n=0}
-107019	保举	65536	20445	3	{v=0}
-107020	五塘	65553	20116	1	null
-107021	偏巧	65536	20559	3	{d=0}
-107022	名不虚	73407	132214	1	null
-107023	党史	65536	20826	3	{n=5}
-107024	厚厚	65572	21402	2	{a=0, d=1, z=3}
-107025	化学反	66156	111696	1	null
-107026	原子笔	65536	126179	3	{n=0}
-107027	壁室	65536	22721	3	{n=1}
-107028	偏差	65536	20559	3	{n=9}
-107029	小脚女	86876	170786	1	null
-107030	小脚女人	65536	107029	3	{n=0}
-107031	咬牙	73530	21676	2	{v=1}
-107032	不徇	65536	19981	1	null
-107033	小舅子	65536	171021	3	{n=0}
-107034	企鹅	65536	20225	3	{n=1}
-107035	固化	65536	22266	3	{v=0, vn=0}
-107036	化学变	67610	111696	1	null
-107037	冲击	66856	20914	2	{v=26, vn=35}
-107038	小花棘豆	65536	107040	3	{l=0}
-107039	困境	65536	22256	3	{n=63}
-107040	小花棘	71128	171193	1	null
-107041	小苏打	65536	171223	3	{n=0}
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-107043	小茴香	65536	171324	3	{n=0}
-107044	上虞	65536	19978	3	{ns=3}
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-107046	小萝卜	84216	171557	2	{n=0}
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-107048	不得	65781	19981	2	{d=0, v=70}
-107049	党同	67263	20826	1	null
-107050	境界	65536	22659	3	{n=38}
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-107052	小萝卜头	65536	107046	3	{n=0, nr=1}
-107053	划时	68047	21010	1	null
-107054	军事部	65554	117991	1	null
-107055	临走	65536	20020	3	{v=8}
-107056	产莲	65618	20135	1	null
-107057	小行星	65536	172628	3	{n=0}
-107058	小衣裳	65536	172651	3	{n=0}
-107059	宫内	65536	23467	3	{f=3}
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-107061	小规模	65536	173004	3	{b=0, d=0}
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-107064	小试牛刀	65536	107068	3	{i=0}
-107065	妄图	65536	22916	3	{v=2, vd=0}
-107066	今译	65536	20170	3	{n=0}
-107067	医圣	65536	21307	3	{n=0}
-107068	小试牛	86072	173533	1	null
-107069	小试锋芒	65536	115948	3	{i=0}
-107070	助困	65536	21161	3	{v=2, vn=0}
-107071	共总	65536	20849	3	{d=0}
-107072	乐融	65536	20048	1	null
-107073	小轿车	65536	174471	3	{n=4}
-107074	下篇	65536	19979	3	{n=1}
-107075	小辫子	65536	174515	3	{n=0}
-107076	信从	65536	20449	3	{v=0}
-107077	小道消	82391	174683	1	null
-107078	小道消息	65536	107077	3	{n=1}
-107079	关卡	65549	20851	2	{n=0}
-107080	小说书	65536	173564	3	{n=0}
-107081	小里小	79416	175060	1	null
-107082	卓里	65536	21331	3	{nz=0}
-107083	倾诉	65536	20542	3	{v=4, vn=0}
-107084	小里小气	65536	107081	3	{z=0}
-107085	争雄	65536	20105	3	{z=3}
-107086	小金库	65536	175065	3	{n=13}
-107087	出资额	65536	137326	3	{n=1}
-107088	小钢炮	65536	175786	3	{n=0}
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-107090	喇叭花	65536	95177	3	{n=0}
-107091	小钱柜	65536	175801	3	{n=0}
-107092	小集团	65536	176334	3	{n=0}
-107093	刊误	65562	21002	1	null
-107094	不必	65536	19981	2	{d=15}
-107095	国防科	72420	153105	1	null
-107096	历次	65536	21382	3	{b=4, d=1}
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-107098	厚古	65539	21402	1	null
-107099	信以	66759	20449	1	null
-107100	冲刺	65536	20914	3	{v=7, vn=3}
-107101	小雨雪	65536	176368	3	{n=1}
-107102	不忍	65536	19981	3	{v=2}
-107103	先例	65536	20808	3	{n=8}
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-107109	小题大	86796	176800	1	null
-107110	信仰	66759	20449	2	{n=4, v=4, vn=6}
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-107115	小麦线	72706	178350	1	null
-107116	信件	65536	20449	3	{n=14}
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-107118	凶手	65536	20982	3	{n=3}
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-107120	剖面	66402	21078	2	{n=0}
-107121	信任	65543	20449	2	{v=27, vn=17}
-107122	少不了	65536	127552	3	{l=11}
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-107124	少不更事	65536	113376	3	{i=0}
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-107128	寥廓	65536	23525	3	{z=0}
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-107133	军民鱼	65546	125549	1	null
-107134	含冤	65657	21547	2	{v=1}
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-107138	剪影	65536	21098	3	{n=0, v=0}
-107139	少奶奶	65536	130473	3	{n=0}
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-107141	少安毋	70668	131004	1	null
-107142	不念	65550	19981	1	null
-107143	保人	65536	20445	3	{n=0}
-107144	囊空	72586	22218	1	null
-107145	埃塞	77100	22467	2	{j=0}
-107146	兜风	65536	20828	3	{v=0}
-107147	凉拌	65555	20937	2	{v=1, vn=0}
-107148	卤莽	65536	21348	3	{a=0}
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-107150	小姑子	65536	160729	3	{n=0}
-107151	少小离	83679	131138	1	null
-107152	坝段	65536	22365	3	{n=2}
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-107155	寝具	65536	23517	3	{n=0}
-107156	催粮	65536	20652	3	{v=0}
-107157	少小离家	65536	107151	3	{i=0}
-107158	会场	65536	20250	3	{n=14}
-107159	少年之家	65536	107186	3	{n=0}
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-107161	坎坷	77248	22350	2	{a=8, an=3}
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-107163	少怀壮	82630	132147	1	null
-107164	会址	65536	20250	3	{n=0}
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-107166	坍缩	71073	22349	1	null
-107167	不怎	65718	19981	1	null
-107168	困处	65536	22256	3	{n=0}
-107169	偷抗	65544	20599	1	null
-107170	以工	66063	20197	1	null
-107171	少掌柜	65536	133055	3	{n=0}
-107172	固原	74867	22266	2	{ns=0}
-107173	少数民	81113	133539	1	null
-107174	不怕	65536	19981	2	{v=15}
-107175	亚细	66018	20122	1	null
-107176	少数民族	77149	107173	2	{n=72}
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-107178	决死	65545	20915	1	null
-107179	卤菜	65536	21348	3	{n=1}
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-107181	吹冷	65576	21561	1	null
-107182	以己	65550	20197	1	null
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-107184	天花板	65536	161729	3	{n=0}
-107185	少生快	83687	137554	1	null
-107186	少年之	83681	131751	1	null
-107187	少生快富	65536	107185	3	{l=6}
-107188	少男少	84290	137578	1	null
-107189	少男少女	65536	107188	3	{l=2}
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-107191	叫卖	70016	21483	2	{v=2, vn=0}
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-107194	传声	65538	20256	1	null
-107195	地方报	65536	142360	3	{n=0}
-107196	少管所	65536	139220	3	{j=0}
-107197	冲力	65536	20914	3	{n=1}
-107198	少见多	82585	142836	1	null
-107199	宫刑	65536	23467	3	{n=1}
-107200	家庭式	65536	147391	3	{b=0}
-107201	争霸	65536	20105	3	{v=0, vn=0}
-107202	判若	68576	21028	1	null
-107203	少见多怪	65536	107198	3	{i=0}
-107204	保价	66317	20445	2	{n=0}
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-107210	冲动	65536	20914	3	{a=1, an=2}
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-107212	博乐	65536	21338	3	{n=0}
-107213	囚笼	65536	22234	3	{n=0}
-107214	少言寡语	65536	107208	3	{i=0}
-107215	交工	65536	20132	3	{v=0, vn=0}
-107216	少部分	65536	144667	3	{m=2}
-107217	信佛	65536	20449	3	{v=0}
-107218	尔虞我	71437	120109	1	null
-107219	太空服	65536	127132	3	{n=5}
-107220	冲劲	65536	20914	3	{n=0}
-107221	尔虞我诈	65536	107218	3	{i=0}
-107222	尔诈我	72828	121495	1	null
-107223	偷拍	65536	20599	3	{v=0}
-107224	交差	65536	20132	3	{v=0}
-107225	从戎	65536	20174	3	{v=0}
-107226	尔诈我虞	65536	107222	3	{i=0}
-107227	五大	66149	20116	2	{j=1}
-107228	尕斯库	86032	107232	1	null
-107229	尔后	65536	23572	3	{c=3}
-107230	佳肴	65536	20339	2	{n=8}
-107231	区块	65536	21306	3	{n=2}
-107232	尕斯	83017	23573	1	null
-107233	奋战	65536	22859	3	{v=22, vn=1}
-107234	尕斯库勒	65536	107228	3	{ns=0}
-107235	主子	65536	20027	3	{n=0}
-107236	尖刀组	65536	119928	3	{n=0}
-107237	尖嘴薄	73946	121004	1	null
-107238	尖嘴薄舌	65536	107237	3	{i=0}
-107239	上蜡	65536	19978	3	{v=0}
-107240	尖团音	65536	121178	3	{n=0}
-107241	去声	65536	21435	3	{n=0}
-107242	尖头蝗	65536	121772	3	{n=0}
-107243	主存	65537	20027	2	{n=0}
-107244	尖扎县	65536	124102	3	{ns=1}
-107245	切变	65536	20999	3	{n=0}
-107246	合格证	65536	133457	3	{n=5}
-107247	太平梯	65536	119957	3	{n=0}
-107248	尖括号	65536	124260	3	{n=0}
-107249	尖沙咀	65536	126737	3	{ns=2}
-107250	南京路	65536	123232	3	{ns=11}
-107251	尖溜溜	65536	127252	3	{z=0}
-107252	奢望	65536	22882	3	{v=0, vn=1}
-107253	信使	65536	20449	3	{n=1}
-107254	尊亲	65536	23562	3	{n=0}
-107255	刻毒	65536	21051	3	{a=0}
-107256	切口	65536	20999	3	{n=1}
-107257	尖端放电	65536	107259	3	{l=0}
-107258	净菜	65545	20928	2	{n=0}
-107259	尖端放	77252	130407	1	null
-107260	尖端科学	65536	112526	3	{l=1}
-107261	去处	65536	21435	3	{n=6}
-107262	不恭	65782	19981	1	null
-107263	尖草坪	85961	132545	1	null
-107264	不息	65536	19981	3	{v=4, vd=0, vn=0}
-107265	小伙儿	65536	157985	3	{n=5}
-107266	央求	65536	22830	3	{v=1}
-107267	尖草坪区	65536	107263	3	{ns=1}
-107268	定位器	65536	142896	3	{n=0}
-107269	化学品	65536	111696	3	{n=3}
-107270	唐庄	74879	21776	1	null
-107271	尖里尖	79605	136260	1	null
-107272	去夏	65536	21435	3	{t=1}
-107273	尖里尖气	65536	107271	3	{z=0}
-107274	尘埃传	80696	110426	1	null
-107275	尘埃传染	65536	107274	3	{l=0}
-107276	尘埃落定	65536	120871	3	{i=1}
-107277	尚义县	65536	108763	3	{ns=6}
-107278	司售	72772	21496	1	null
-107279	削面	65536	21066	3	{n=0}
-107280	尚家大	84707	112200	1	null
-107281	传奇	65568	20256	2	{a=0, n=12}
-107282	密码员	65536	140377	3	{n=0}
-107283	尚家大堰	65536	107280	3	{ns=0}
-107284	尚巴涅	65536	112774	3	{ns=0}
-107285	尚志市	65536	113257	3	{ns=0}
-107286	尚方宝剑	65536	109667	3	{i=0}
-107287	尚方剑	65536	114763	3	{n=0}
-107288	姨兄	78484	23016	1	null
-107289	完全小	81821	113485	1	null
-107290	尚沟村	65536	116529	3	{ns=0}
-107291	尝鼎一	74251	124436	1	null
-107292	保住	65536	20445	3	{v=8}
-107293	切合	65536	20999	3	{v=15}
-107294	保佑	65536	20445	3	{v=2, vn=1}
-107295	尝鼎一脔	65536	107291	3	{i=0}
-107296	威风扫	80740	131646	1	null
-107297	少年人	65536	131751	3	{n=0}
-107298	千里迢	65556	131830	1	null
-107299	尝尝	65536	23581	3	{v=2}
-107300	尤伯杯	65536	107580	3	{nz=0}
-107301	尤杯赛	65536	113788	3	{j=0}
-107302	尤里卡	65536	124633	3	{ns=0, nz=0}
-107303	佳能	65536	20339	3	{nz=0}
-107304	减免	65552	20943	2	{v=8, vn=1}
-107305	尥蹶	83930	23589	1	null
-107306	尥蹶子	65536	107305	3	{v=0}
-107307	主官	65536	20027	3	{n=3}
-107308	尧天	74002	23591	1	null
-107309	变速运	71462	137770	1	null
-107310	尧天舜	81227	107308	1	null
-107311	大学生	65536	151808	3	{n=40}
-107312	尧天舜日	65536	107310	3	{i=0}
-107313	五好	65536	20116	3	{j=2}
-107314	凑趣	65536	20945	3	{v=0}
-107315	尧子营	80869	107859	1	null
-107316	审查所	65536	122962	3	{n=0}
-107317	主客	65551	20027	1	null
-107318	尧子营村	65536	107315	3	{ns=0}
-107319	不悦	65536	19981	3	{a=1, an=0}
-107320	尧治河	80874	112318	1	null
-107321	体坛	65536	20307	3	{n=8}
-107322	副业	65536	21103	3	{n=5}
-107323	尧治河村	65536	107320	3	{ns=0}
-107324	就事论	87218	124839	1	null
-107325	就事论事	65536	107324	3	{i=0}
-107326	关员	65536	20851	3	{n=2}
-107327	即墨	67131	21363	2	{ns=0}
-107328	就地取	80886	127052	1	null
-107329	就业局	65536	124726	3	{n=3}
-107330	凑足	65536	20945	3	{v=1}
-107331	主宰	65536	20027	3	{v=2, vn=0}
-107332	割胶	65536	21106	3	{vn=1}
-107333	三贤	65536	19977	1	null
-107334	就地取材	65536	107328	3	{i=1}
-107335	尤为	65536	23588	3	{d=22}
-107336	就地正法	65536	113357	3	{i=0}
-107337	吸墨	65808	21560	1	null
-107338	就坡下	67804	127101	1	null
-107339	叱责	65536	21489	3	{v=0}
-107340	东航	65536	19996	3	{j=0}
-107341	优裕	65536	20248	3	{a=1, an=0}
-107342	密密匝	84780	133150	1	null
-107343	安家落	79781	149746	1	null
-107344	就坡下驴	65536	107338	3	{l=0}
-107345	主宾	65538	20027	1	null
-107346	号叫	65536	21495	3	{v=0}
-107347	号召	72847	21495	2	{v=36, vn=19}
-107348	宇宙服	65536	105515	3	{n=0}
-107349	就是说	65536	130891	3	{c=3}
-107350	不情	65722	19981	1	null
-107351	务工青	66121	94163	1	null
-107352	叫号	65536	21483	3	{v=0}
-107353	太原省	65536	117185	3	{ns=0}
-107354	冒用	65536	20882	3	{v=0}
-107355	媚态	65536	23194	3	{n=0}
-107356	尴尬	65536	23604	3	{a=5, an=6}
-107357	刺儿	65781	21050	1	null
-107358	会堂	65536	20250	3	{n=3}
-107359	历史课	65536	101161	3	{n=0}
-107360	后勤部	65536	131853	3	{n=4}
-107361	句调	65536	21477	3	{n=0}
-107362	不惑	65723	19981	1	null
-107363	尸位素	68180	107387	1	null
-107364	尸位素餐	65536	107363	3	{i=0}
-107365	三资	65536	19977	2	{j=3}
-107366	小题大做	65536	107109	3	{i=0}
-107367	区域	68164	21306	2	{n=154}
-107368	尸横遍	70045	114264	1	null
-107369	体型	65536	20307	3	{n=0}
-107370	剧本	65536	21095	3	{n=15}
-107371	尸横遍野	65536	107368	3	{i=0}
-107372	尸骨未	83868	126678	1	null
-107373	不惜	65536	19981	2	{v=11}
-107374	尸骨未寒	65536	107372	3	{l=0}
-107375	亚美	65549	20122	1	null
-107376	不惟	65536	19981	3	{c=0}
-107377	功利	68681	21151	2	{n=3}
-107378	尹稼坞	80932	110385	1	null
-107379	尹湾	65536	23609	3	{ns=0}
-107380	墓园	65536	22675	3	{n=0}
-107381	尹稼坞村	65536	107378	3	{ns=0}
-107382	力图	65536	21147	3	{v=9, vd=0}
-107383	尺动脉	65536	108563	3	{n=0}
-107384	尺幅千	70062	111536	1	null
-107385	兵力	65536	20853	3	{n=8}
-107386	尺幅千里	65536	107384	3	{l=0}
-107387	尸位	75331	23608	1	null
-107388	尺有所	76689	113780	1	null
-107389	寓公	65536	23507	3	{n=0}
-107390	尺有所短	65536	107388	3	{i=0}
-107391	交底	65536	20132	3	{v=0}
-107392	启幕	65536	21551	3	{v=1}
-107393	尸体	65536	23608	3	{n=4}
-107394	天生桥	65536	158255	3	{ns=0}
-107395	尺短寸	69125	118104	1	null
-107396	尺短寸长	65536	107395	3	{i=0}
-107397	尺蠖蛾	65536	122241	3	{n=0}
-107398	尼克松	65536	110596	3	{n=1, nr=0}
-107399	尼加拉	77484	110937	1	null
-107400	尼加拉瓜	65536	107399	3	{ns=5}
-107401	尼古丁	65536	111261	3	{n=0}
-107402	尼姑庵	65536	112778	3	{n=0}
-107403	尼康杯	65536	114032	3	{nz=0}
-107404	尼日利亚	74556	107412	2	{ns=1}
-107405	均热	68401	22343	1	null
-107406	哥斯	65655	21733	1	null
-107407	主导	65536	20027	3	{n=61, v=3, vn=3}
-107408	尼日利亚联	70380	107404	1	null
-107409	三走	65536	19977	3	{j=0}
-107410	尼日利亚联邦	86562	107408	1	null
-107411	尼日利亚联邦共	85769	107410	1	null
-107412	尼日利	87282	115870	1	null
-107413	尼日利亚联邦共和	85149	107411	1	null
-107414	勾结	65536	21246	3	{v=6, vn=0}
-107415	命在	68214	21629	1	null
-107416	尺中	65536	23610	3	{n=0}
-107417	主将	65536	20027	3	{n=0}
-107418	尼日利亚联邦共和国	65536	107413	3	{ns=0}
-107419	尼日尔共	85777	109951	1	null
-107420	处理率	65536	128942	3	{n=2}
-107421	尼日尔共和	85154	107419	1	null
-107422	吹动	65536	21561	3	{v=0}
-107423	尼日尔共和国	65536	107421	3	{ns=0}
-107424	不意	65536	19981	3	{d=0}
-107425	尼泊尔	77847	117635	2	{ns=19}
-107426	尼泊尔王	85159	107425	1	null
-107427	停工	65536	20572	3	{v=2}
-107428	尼泊尔王国	65536	107426	3	{ns=1}
-107429	书局	65536	20070	3	{n=4}
-107430	尼洋河	65536	117700	3	{ns=0}
-107431	克己	65701	20811	1	null
-107432	尼玛县	65536	119380	3	{ns=2}
-107433	尼科西	87312	120970	1	null
-107434	尼科西亚	65536	107433	3	{ns=1}
-107435	尼罗河	65536	122384	3	{ns=8}
-107436	尽义务	65536	117155	3	{v=1}
-107437	冲压	65776	20914	2	{v=0, vn=0}
-107438	伪钞	65536	20266	3	{n=1}
-107439	刹风	65590	21049	1	null
-107440	书屋	65536	20070	3	{n=0}
-107441	尽人皆	76750	117268	1	null
-107442	写真	65536	20889	3	{n=1, v=1, vn=0}
-107443	尽人皆知	65536	107441	3	{i=0}
-107444	尽其所	81068	117968	1	null
-107445	尽其所有	65536	107444	3	{l=0}
-107446	尽力而	87423	118261	1	null
-107447	墓地	65536	22675	3	{n=1}
-107448	不愧	65741	19981	2	{d=2, v=1}
-107449	尽力而为	65536	107446	3	{i=1}
-107450	书展	65536	20070	3	{n=0}
-107451	保修	65701	20445	2	{v=1, vn=0}
-107452	尽可能	65536	118601	3	{d=12}
-107453	卵磷	65538	21365	1	null
-107454	尽善尽	74805	119006	1	null
-107455	东芝	65536	19996	3	{nz=0}
-107456	北京路	65536	122205	3	{ns=2}
-107457	墓场	65536	22675	3	{n=0}
-107458	侧蚀	65613	20391	1	null
-107459	尽善尽美	65536	107454	3	{i=3}
-107460	尽如人	82614	120028	1	null
-107461	尽如人意	65536	107460	3	{i=12}
-107462	尽心尽	86318	121629	1	null
-107463	副产	66983	21103	1	null
-107464	密云县	65536	129769	3	{ns=0}
-107465	尽心尽力	65536	107462	3	{i=2}
-107466	尽心竭力	65536	115318	3	{i=2}
-107467	尽忠报	85199	121658	1	null
-107468	尽忠报国	65536	107467	3	{i=0}
-107469	哨子	65536	21736	3	{n=0}
-107470	尽收眼	83258	123024	1	null
-107471	尽收眼底	65536	107470	3	{i=2}
-107472	尽欢而	81520	124540	1	null
-107473	中国	65833	20013	2	{n=0, ns=3357, nz=0, v=0}
-107474	大义灭	79503	148451	1	null
-107475	尽欢而散	65536	107472	3	{l=0}
-107476	三足	65537	19977	1	null
-107477	噤若	71936	22116	1	null
-107478	劳动手	65540	109156	1	null
-107479	卸装	65536	21368	3	{v=0}
-107480	墓坑	65536	22675	3	{n=0}
-107481	尽瘁而死	65536	107496	3	{l=0}
-107482	夜光虫	65536	128132	3	{n=0}
-107483	尼龙丝	65536	130642	3	{n=0}
-107484	中圈	65537	20013	1	null
-107485	不慌	65787	19981	1	null
-107486	尽瘁至死	65536	107983	3	{l=0}
-107487	不慎	65536	19981	3	{d=4}
-107488	尽瘁鞠躬	65536	113532	3	{i=0}
-107489	妥帖	65536	22949	3	{a=0}
-107490	尽管如	80006	128763	1	null
-107491	功力	65665	21151	2	{n=10}
-107492	刚果	67400	21018	2	{ns=3}
-107493	宠坏	65536	23456	3	{v=1}
-107494	京谷	65536	20140	3	{nr=0, nz=0}
-107495	大本营	65536	154822	3	{n=5}
-107496	尽瘁而	79966	127323	1	null
-107497	偏心	65547	20559	2	{a=1}
-107498	尽管如此	65536	107490	3	{l=3}
-107499	尽职尽	71370	129958	1	null
-107500	减刑	65536	20943	3	{v=0, vn=0}
-107501	尽职尽责	65536	107499	3	{l=3}
-107502	以弱	65538	20197	1	null
-107503	尾矿库	65536	123034	3	{n=8}
-107504	尿崩症	65536	108720	3	{n=0}
-107505	八国	65566	20843	1	null
-107506	尿常规	65536	108991	3	{n=0}
-107507	中土	65536	20013	3	{nz=0}
-107508	尿毒症	65536	112473	3	{n=0}
-107509	尿道炎	65536	121818	3	{n=0}
-107510	局促不	84083	109407	1	null
-107511	以强	65539	20197	1	null
-107512	喉癌	65536	21897	3	{n=0}
-107513	专长	65536	19987	3	{n=1}
-107514	刘邦	65536	21016	3	{nr=0}
-107515	功劳	65539	21151	2	{n=7}
-107516	局促不安	65536	107510	3	{i=0}
-107517	局域网	65536	111483	3	{n=1}
-107518	局外人	65536	111794	3	{n=3}
-107519	局管内	65536	120637	3	{n=1}
-107520	局部变	70194	126084	1	null
-107521	局部变量	65536	107520	3	{n=0}
-107522	局限性	65536	127468	3	{n=3}
-107523	医士	65536	21307	3	{n=0}
-107524	减利	65536	20943	3	{n=2}
-107525	因变量	65536	111667	3	{n=0}
-107526	击破	65536	20987	3	{v=0}
-107527	屁滚尿	79561	107535	1	null
-107528	奖券	65536	22870	3	{n=0}
-107529	保值	65536	20445	3	{v=6, vn=7}
-107530	屁滚尿流	65536	107527	3	{i=0}
-107531	奢侈浪	65698	101217	1	null
-107532	历法	65536	21382	3	{n=1}
-107533	层出不	76186	107822	1	null
-107534	中场	65536	20013	3	{n=4, s=13}
-107535	屁滚	83912	23617	1	null
-107536	宝盖头	65536	130884	3	{n=0}
-107537	层出不穷	65536	107533	3	{i=6}
-107538	上行	65699	19978	2	{v=0, vn=1}
-107539	功勋	65536	21151	3	{n=12}
-107540	天竺鼠	65536	159754	3	{n=0}
-107541	层压板	65536	108223	3	{n=0}
-107542	层层叠	86072	110454	1	null
-107543	吸奶	72015	21560	1	null
-107544	层层叠叠	65536	107542	3	{l=0, m=0, z=1}
-107545	偶蹄	65574	20598	1	null
-107546	先兆	65536	20808	3	{n=0}
-107547	实验室	65536	160107	3	{n=19}
-107548	刚柔	65730	21018	1	null
-107549	上街	65536	19978	3	{v=10}
-107550	刺刀	65536	21050	3	{n=1}
-107551	六经	65536	20845	3	{n=1}
-107552	层峦叠嶂	65536	107554	3	{i=0}
-107553	倒塌	65536	20498	3	{v=13, vn=2}
-107554	层峦叠	83614	110618	1	null
-107555	层峦迭嶂	65536	122927	3	{i=0}
-107556	层次感	65536	114261	3	{n=1}
-107557	复合物	65536	133901	3	{n=0}
-107558	层级制	65536	119259	3	{n=1}
-107559	层见叠	86574	122101	1	null
-107560	层见叠出	65536	107559	3	{i=0}
-107561	上衣	65536	19978	3	{n=19}
-107562	宜兴	81374	23452	2	{nr=0, ns=6}
-107563	居功不傲	65536	107578	3	{l=0}
-107564	呕血	65536	21589	3	{v=1}
-107565	咖啡杯	65536	94507	3	{n=0}
-107566	中坚	65536	20013	3	{n=7}
-107567	居功至伟	65536	120864	3	{l=1}
-107568	兵卒	65536	20853	3	{n=1}
-107569	乱送	65536	20081	3	{v=0}
-107570	保健	65808	20445	2	{b=12, n=19, v=0, vn=3}
-107571	奋发有	81132	103578	1	null
-107572	大理站	65536	158112	3	{ns=2}
-107573	委培	72817	22996	1	null
-107574	居住区	65536	112382	3	{n=2}
-107575	劣迹	65633	21155	2	{n=0}
-107576	居奇牟	86546	114934	1	null
-107577	先入	67375	20808	1	null
-107578	居功不	86905	113230	1	null
-107579	居奇牟利	65536	107576	3	{l=0}
-107580	尤伯	80821	23588	1	null
-107581	以往	65536	20197	3	{p=1, t=58}
-107582	居功自傲	65536	120855	3	{i=0}
-107583	医大	65536	21307	3	{j=1}
-107584	居委会	65536	115075	3	{j=18, n=0}
-107585	居安思	86225	115512	1	null
-107586	居安思危	65536	107585	3	{i=2}
-107587	大米饭	65536	160269	3	{n=0}
-107588	副伤	65853	21103	1	null
-107589	居庸关	65536	116327	3	{ns=0}
-107590	居心不	74200	116594	1	null
-107591	居心不良	65536	107590	3	{l=0}
-107592	居心叵测	65536	109102	3	{i=0}
-107593	坎大	75533	22350	1	null
-107594	居留权	65536	122120	3	{n=1}
-107595	堵源	65536	22581	3	{v=0}
-107596	住院	65655	20303	2	{v=16, vd=0, vn=12}
-107597	凝集	65536	20957	3	{v=1}
-107598	势焰	65536	21183	3	{n=0}
-107599	居里夫	87446	129403	1	null
-107600	居里夫人	65536	107599	3	{nr=1}
-107601	居民区	65536	119744	3	{n=10}
-107602	学习者	65536	140082	3	{n=2}
-107603	不懂	65536	19981	1	null
-107604	号哭	65536	21495	3	{v=0}
-107605	居高不下	65536	107613	3	{l=7}
-107606	中垂	65562	20013	1	null
-107607	争风	65585	20105	1	null
-107608	刺刺	68640	21050	1	null
-107609	不懈	65540	19981	2	{z=15}
-107610	居高临下	65536	107652	3	{i=1}
-107611	割舍	65536	21106	3	{v=0}
-107612	传媒	65536	20256	3	{n=17}
-107613	居高不	87626	131719	1	null
-107614	审判官	65536	117393	3	{n=0}
-107615	中型	65541	20013	2	{b=2}
-107616	假大	65548	20551	1	null
-107617	屈光度	65536	109190	3	{n=0}
-107618	专门	65539	19987	2	{b=46, d=81, n=0}
-107619	屈打成	82313	113552	1	null
-107620	屈打成招	65536	107619	3	{i=0}
-107621	屈折语	65536	113621	3	{n=0}
-107622	屈原号	65536	109788	3	{nz=0}
-107623	屈指可	81656	113732	1	null
-107624	屈指可数	65536	107623	3	{i=3}
-107625	商业点	65536	127190	3	{n=1}
-107626	交往	65536	20132	3	{v=19, vn=36}
-107627	屈膝忍	70843	121562	1	null
-107628	屈膝忍辱	65536	107627	3	{l=0}
-107629	俄顷	65536	20420	3	{d=0}
-107630	屈辱性	65536	125166	3	{n=0}
-107631	交待	65536	20132	3	{v=8, vn=1}
-107632	先农	65536	20808	1	null
-107633	屉子	65536	23625	3	{n=0}
-107634	剿除	65536	21119	3	{v=0}
-107635	夸张	76445	22840	2	{n=1, v=6, vn=1}
-107636	以德	65538	20197	1	null
-107637	乐观	66001	20048	2	{a=21, ad=0, an=5, n=0}
-107638	堂上	65536	22530	3	{n=0}
-107639	屎壳	70573	23630	1	null
-107640	嘉兴	71337	22025	2	{ns=17}
-107641	届时	65536	23626	3	{d=18}
-107642	中垦	65536	20013	3	{nz=0}
-107643	屎壳郎	65536	107639	3	{n=1}
-107644	副作	65622	21103	1	null
-107645	契据	65536	22865	3	{n=0}
-107646	味蕾	65536	21619	3	{n=0}
-107647	屏气凝	76580	115084	1	null
-107648	危在	65753	21361	1	null
-107649	奖励	65536	22870	3	{n=1, v=20, vn=24}
-107650	屏气凝神	65536	107647	3	{i=0}
-107651	主峰	65536	20027	3	{n=1}
-107652	居高临	87631	131719	1	null
-107653	叫唤	65536	21483	3	{v=0}
-107654	展示会	65536	132126	3	{n=2}
-107655	先决	65665	20808	2	{b=0}
-107656	危地	65569	21361	1	null
-107657	展销会	65536	139236	3	{n=5}
-107658	展览会	65536	136364	3	{n=5}
-107659	上装	65536	19978	3	{n=0, v=0}
-107660	属地化	65536	110329	3	{vn=1}
-107661	屠宰场	65536	110191	3	{n=3}
-107662	填房	65536	22635	3	{n=0}
-107663	太空棉	65536	127132	3	{n=0}
-107664	临近	65536	20020	3	{a=4, v=25, vn=3}
-107665	宫口	65536	23467	3	{nr=0}
-107666	天然林	65536	157254	3	{n=11}
-107667	堆焊	65536	22534	3	{n=0}
-107668	做法	65536	20570	3	{n=87}
-107669	屡战屡	74683	109201	1	null
-107670	仓鼠	65536	20179	3	{n=0}
-107671	屡战屡胜	65536	107669	3	{l=0}
-107672	封建割	81129	133191	1	null
-107673	屡教不	81761	110034	1	null
-107674	屡教不改	65536	107673	3	{i=0}
-107675	卫生厅	65536	104874	3	{n=4}
-107676	屡次三	77620	111514	1	null
-107677	叩诊	65536	21481	3	{v=0}
-107678	屡次三番	65536	107676	3	{i=0}
-107679	划桨	65536	21010	3	{v=2}
-107680	屡禁不	80201	115194	1	null
-107681	不成	65617	19981	2	{a=0, v=0, y=1}
-107682	中城	65536	20013	3	{nr=0}
-107683	寸口	65536	23544	3	{n=0}
-107684	元字	65537	20803	1	null
-107685	屡见不	67594	119354	1	null
-107686	屡见不鲜	65536	107685	3	{i=3}
-107687	堂主	65536	22530	3	{n=0}
-107688	屡试不	78449	119886	1	null
-107689	不战	65536	19981	1	null
-107690	佛祖	65536	20315	3	{n=0}
-107691	屡禁不止	65536	107680	3	{l=4}
-107692	佳节	65536	20339	3	{n=87}
-107693	交心	65536	20132	3	{v=1}
-107694	屡试不爽	65536	107688	3	{i=0}
-107695	履历表	65536	107726	3	{n=0}
-107696	履穿踵	86782	117703	1	null
-107697	履穿踵决	65536	107696	3	{i=0}
-107698	履舄交	69534	119628	1	null
-107699	修炼	65536	20462	3	{v=1, vn=0}
-107700	奖勤	68594	22870	1	null
-107701	安德鲁	78921	150771	1	null
-107702	兵变	65536	20853	3	{v=0, vn=0}
-107703	履舄交错	65536	107698	3	{i=0}
-107704	停建	65536	20572	3	{v=3}
-107705	履险如	84867	124849	1	null
-107706	履险如夷	65536	107705	3	{i=0}
-107707	假如	65536	20551	3	{c=12, v=0}
-107708	号啕	70095	21495	1	null
-107709	头皮癣	65536	143207	3	{n=0}
-107710	余数	65536	20313	3	{n=0}
-107711	屠刀	65536	23648	3	{n=2}
-107712	东莞	65548	19996	2	{ns=2}
-107713	太子港	65536	119154	3	{n=0}
-107714	山东快	87647	149475	1	null
-107715	何苦	65536	20309	3	{d=0}
-107716	别国	65536	21035	3	{r=12}
-107717	山东快书	65536	107714	3	{l=0, n=1}
-107718	低回	65536	20302	3	{v=0}
-107719	屏住	65536	23631	3	{v=0}
-107720	山东梆子	65536	109917	3	{n=0}
-107721	山丹丹	74266	149504	1	null
-107722	堵漏	65536	22581	3	{v=0}
-107723	山丹丹花	65536	107721	3	{n=1}
-107724	山之内	77718	149522	1	null
-107725	孟姜	80556	23391	1	null
-107726	履历	72775	23653	2	{n=2}
-107727	外汇率	65536	148168	3	{n=0}
-107728	山之内町	65536	107724	3	{ns=0}
-107729	山华牌	65536	150805	3	{nz=0}
-107730	大功率	65536	149561	3	{b=0}
-107731	东莱	65536	19996	2	{ns=0}
-107732	山南海	86462	150814	1	null
-107733	山南海北	65536	107732	3	{i=0, l=0}
-107734	中堂	65536	20013	3	{n=0}
-107735	山和尚	65536	151123	3	{n=0}
-107736	山坡地	65536	151848	3	{n=2}
-107737	山山岭岭	65536	107751	3	{n=3}
-107738	屡屡	65536	23649	3	{d=7}
-107739	另行	65536	21478	3	{d=6}
-107740	尼龙伞	65536	130642	3	{n=0}
-107741	乳透	65536	20083	3	{vn=1}
-107742	不才	65536	19981	3	{n=0}
-107743	啄食	65536	21828	3	{v=0}
-107744	山山水水	65536	111726	3	{l=2, n=0}
-107745	便民	65573	20415	2	{b=0, v=23, vn=0}
-107746	启德	65536	21551	3	{ns=1, nz=0}
-107747	山明水	76584	155605	1	null
-107748	不打	65537	19981	1	null
-107749	以怨	65539	20197	1	null
-107750	吹台	65536	21561	3	{n=0}
-107751	山山岭	84012	153144	1	null
-107752	山明水秀	65536	107747	3	{i=0}
-107753	二环	65548	20108	2	{ns=0}
-107754	元宝	65581	20803	2	{n=0}
-107755	叫喊	65536	21483	3	{v=0, vn=1}
-107756	咪表	65536	21674	3	{n=0}
-107757	吹号	65536	21561	3	{v=0}
-107758	娱乐性	65536	103127	3	{n=3}
-107759	奥什	77195	22885	1	null
-107760	山核桃	65536	156159	3	{n=0}
-107761	山桐子	65536	156183	3	{n=0}
-107762	山樱桃	65536	156664	3	{n=0}
-107763	山毛榉	65536	157090	3	{n=0}
-107764	填报	65536	22635	3	{v=0}
-107765	叩谢	65536	21481	3	{v=0}
-107766	山楂果	65536	156425	3	{n=0}
-107767	山水林田	71436	107782	1	null
-107768	婶母	65536	23158	3	{n=0}
-107769	别具风	66993	106302	1	null
-107770	做活	65536	20570	3	{v=0}
-107771	山水林田路	65536	107767	3	{j=0}
-107772	山水田林	71438	111263	1	null
-107773	山水田林路	65536	107772	3	{l=1, n=0}
-107774	屯兵	65536	23663	3	{v=0, vn=0}
-107775	党团	65912	20826	2	{n=5}
-107776	山沟沟	65536	157286	3	{n=0}
-107777	山洪暴	86326	157425	1	null
-107778	元宵	65541	20803	2	{n=3, t=0}
-107779	孕妇	65536	23381	3	{n=2}
-107780	五子	65536	20116	1	null
-107781	含含	65544	21547	1	null
-107782	山水林	77767	157179	1	null
-107783	山洪暴发	65536	107777	3	{l=1}
-107784	五孔	65539	20116	1	null
-107785	克当	65570	20811	1	null
-107786	山海关区	65536	107788	3	{ns=0}
-107787	哥本	72997	21733	1	null
-107788	山海关	86480	157502	2	{ns=1}
-107789	山清水	76622	157644	1	null
-107790	山清水秀	65536	107789	3	{i=1}
-107791	安阳市	65536	164719	3	{ns=1}
-107792	山珍海	86175	159124	1	null
-107793	停当	65536	20572	3	{a=0}
-107794	山珍海味	65536	107792	3	{i=0, l=1}
-107795	山盟海	72321	159910	1	null
-107796	山盟海誓	65536	107795	3	{i=0}
-107797	山穷水	84185	160830	1	null
-107798	山穷水尽	65536	107797	3	{i=1}
-107799	山耳东	81351	162298	1	null
-107800	山耳东村	65536	107799	3	{ns=2}
-107801	山脚下	65536	162529	3	{f=1, s=0}
-107802	催缴	65536	20652	3	{v=1, vn=1}
-107803	山苍子	65536	162964	3	{n=0}
-107804	山茱萸	65536	163064	3	{n=0}
-107805	响箭	65536	21709	3	{n=0}
-107806	妥当	65536	22949	3	{a=0}
-107807	山茶花	65536	163069	3	{n=0}
-107808	山药蛋	65536	163126	3	{n=1}
-107809	先前	65536	20808	3	{t=5}
-107810	下级	65536	19979	3	{n=20}
-107811	山西梆	84442	164678	1	null
-107812	困守	65536	22256	3	{v=0}
-107813	减半	65536	20943	3	{v=2, vd=1}
-107814	危城	65536	21361	3	{n=0}
-107815	山羊洼	65536	162129	3	{ns=0}
-107816	哺育	65536	21754	3	{v=3, vn=1}
-107817	不折	65791	19981	1	null
-107818	山西梆子	65536	107811	3	{n=0}
-107819	吐气	68789	21520	1	null
-107820	山豆根	65536	165389	3	{n=0}
-107821	在所不计	65536	96864	3	{l=0}
-107822	层出	87552	23618	1	null
-107823	吹吹	68976	21561	1	null
-107824	便池	65536	20415	3	{n=0}
-107825	兼收	65645	20860	1	null
-107826	山道年	65536	166426	3	{n=0}
-107827	共振	65543	20849	2	{v=0}
-107828	含沙量	65536	114035	3	{n=0}
-107829	保全	65536	20445	3	{v=2, vn=0}
-107830	兵员	65536	20853	3	{n=0}
-107831	山重水	85038	166804	1	null
-107832	后半辈	70509	131955	1	null
-107833	导航台	65536	124445	3	{n=0}
-107834	下线	65536	19979	3	{n=0}
-107835	山重水复	65536	107831	3	{i=0}
-107836	山野菜	65536	166805	3	{n=0}
-107837	山阳区	65536	167930	3	{ns=0}
-107838	山雨欲	81373	168111	1	null
-107839	到时	65536	21040	3	{d=1}
-107840	专集	65536	19987	3	{n=0}
-107841	山里人	65536	166803	3	{n=2}
-107842	山雨欲来	68725	107838	1	null
-107843	山雨欲来风	79459	107842	1	null
-107844	山雨欲来风满	80847	107843	1	null
-107845	上西	65554	19978	1	null
-107846	坡耕	75017	22369	1	null
-107847	东营	65577	19996	2	{ns=1}
-107848	保养	65544	20445	2	{v=1, vn=1}
-107849	产蛋	65542	20135	1	null
-107850	东萨	65536	19996	1	null
-107851	山雨欲来风满楼	65536	107844	3	{i=0}
-107852	五官	65536	20116	2	{n=0}
-107853	卤虾	65536	21348	3	{n=0}
-107854	下结	65540	19979	1	null
-107855	助威	66024	21161	2	{v=2, vn=0}
-107856	山青水	76695	168217	1	null
-107857	兵味	65536	20853	3	{n=1}
-107858	倒好	65536	20498	3	{n=0}
-107859	尧子	73486	23591	1	null
-107860	呈示	65536	21576	3	{v=1}
-107861	功名	65536	21151	3	{n=0}
-107862	只好	65536	21482	3	{d=30}
-107863	山青水秀	65536	107856	3	{i=0}
-107864	山顶洞	87712	168509	1	null
-107865	咯血	65536	21679	3	{v=0}
-107866	山顶洞人	65536	107864	3	{n=0}
-107867	山高水	87572	169119	1	null
-107868	区委	65536	21306	3	{j=0, n=19}
-107869	发送量	65536	144985	3	{n=5}
-107870	吞灭	65536	21534	3	{v=0}
-107871	商品猪	65536	128893	3	{n=1}
-107872	凑近	65536	20945	3	{v=1}
-107873	传宗	65538	20256	1	null
-107874	山高水低	65536	107867	3	{i=0}
-107875	力士	65536	21147	3	{n=0}
-107876	勾股	65947	21246	1	null
-107877	山鸡椒	65536	169960	3	{n=0}
-107878	减压	65956	20943	2	{v=0}
-107879	书市	65536	20070	3	{n=1}
-107880	保军	65547	20445	1	null
-107881	不拘	65805	19981	2	{v=1}
-107882	低垂	65536	20302	3	{v=0}
-107883	岁寒三	86436	111885	1	null
-107884	勾肩	65539	21246	1	null
-107885	屹然	65536	23673	3	{d=0}
-107886	卫生员	65536	104874	3	{n=0}
-107887	岁寒三友	65536	107883	3	{i=0}
-107888	岁岁年	83714	112060	1	null
-107889	因人而	71837	110357	1	null
-107890	出口量	65536	122637	3	{n=4}
-107891	信函	65536	20449	3	{n=9}
-107892	化学地	65537	111696	1	null
-107893	名不见	65779	132214	1	null
-107894	岁岁年年	65536	107888	3	{l=1}
-107895	岁岁枯荣	65536	110251	3	{i=1}
-107896	头头脑	67975	135661	1	null
-107897	岁月不饶	87746	107899	1	null
-107898	不择	65545	19981	1	null
-107899	岁月不	68611	114755	1	null
-107900	岁月不饶人	65536	107897	3	{l=1, n=0}
-107901	岁月如流	65536	110832	3	{i=0}
-107902	夙嫌	65536	22809	3	{n=0}
-107903	作业	65672	20316	2	{n=19, v=11, vn=20}
-107904	传家	66288	20256	1	null
-107905	作东	65536	20316	3	{v=0}
-107906	奥体	65536	22885	3	{j=1}
-107907	岁月悠悠	65536	112654	3	{l=1}
-107908	岂因祸	76790	109876	1	null
-107909	岂因祸福	70920	107908	1	null
-107910	堂会	65536	22530	3	{n=0}
-107911	岂因祸福避	71680	107909	1	null
-107912	园子	65536	22253	3	{n=2}
-107913	厂办	65536	21378	3	{j=0}
-107914	上规	65537	19978	1	null
-107915	岂因祸福避趋	87874	107911	1	null
-107916	厂务	65536	21378	3	{n=0}
-107917	岂因祸福避趋之	65536	107915	3	{l=1, n=0}
-107918	岂有此	78219	114013	1	null
-107919	三轮	65550	19977	2	{b=0, n=2}
-107920	基本电	65540	131753	1	null
-107921	岂有此理	65536	107918	3	{i=0}
-107922	岌岌	86437	23692	1	null
-107923	保准	65536	20445	3	{v=0}
-107924	岌岌可	86564	107922	1	null
-107925	岌岌可危	65536	107924	3	{i=0}
-107926	减去	65536	20943	3	{v=1}
-107927	割草	65893	21106	1	null
-107928	主帅	65536	20027	3	{n=1}
-107929	岐山	86492	23696	2	{ns=0}
-107930	岂但	65536	23682	3	{c=1}
-107931	岐山县	65536	107929	3	{ns=0}
-107932	勃长	65930	21187	1	null
-107933	岑寂	65536	23697	3	{a=0}
-107934	岔曲儿	65536	112852	3	{n=0}
-107935	作为	65536	20316	3	{n=5, p=153, v=396, vn=1}
-107936	作主	65536	20316	3	{v=1}
-107937	力天	65536	21147	3	{nz=0}
-107938	届期	65536	23626	3	{n=0}
-107939	岔河镇	65536	114325	3	{ns=0}
-107940	余晖	65536	20313	3	{n=1, nr=0}
-107941	岗南乡	65536	109706	3	{ns=0}
-107942	少年儿	75699	131751	1	null
-107943	岘港	65536	23704	3	{ns=0}
-107944	岩居穴	85158	111332	1	null
-107945	上解	65536	19978	3	{v=0}
-107946	岩居穴处	65536	107944	3	{i=0}
-107947	岚山	65536	23706	3	{ns=0}
-107948	岩浆岩	65536	115685	3	{n=0}
-107949	尘世	65536	23576	3	{n=0}
-107950	劝解	65536	21149	3	{v=0}
-107951	交情	65536	20132	3	{n=0}
-107952	岩石学	65536	118418	3	{n=0}
-107953	岫岩	86516	23723	2	{ns=0}
-107954	体委	65536	20307	3	{j=82}
-107955	岫岩县	65536	107953	3	{ns=0}
-107956	岬角	65536	23724	3	{n=0}
-107957	作乐	65536	20316	3	{v=0}
-107958	剪报	65536	21098	3	{n=0}
-107959	岭南	65536	23725	3	{n=0, ns=0, s=1}
-107960	岱宗	65536	23729	3	{n=1}
-107961	岳南区	65536	109931	3	{s=1}
-107962	岳阳楼区	65536	113537	3	{ns=0}
-107963	借据	65536	20511	3	{n=0}
-107964	商品率	65536	128893	3	{n=1}
-107965	岳麓区	65536	129191	3	{ns=0}
-107966	岷县	65536	23735	3	{ns=0}
-107967	中士	65536	20013	3	{n=0}
-107968	主席	65777	20027	2	{n=638}
-107969	奔丧	65536	22868	3	{v=1}
-107970	吐沫	65536	21520	3	{n=0}
-107971	五小	65536	20116	3	{j=1}
-107972	岳阳县	65536	127047	3	{ns=0}
-107973	岔口	65536	23700	3	{n=0}
-107974	传导	65536	20256	3	{v=7, vn=2}
-107975	博克	70159	21338	1	null
-107976	岿然	87997	23743	1	null
-107977	劳不	65536	21171	1	null
-107978	岿然不	86820	107976	1	null
-107979	它山	83865	23427	1	null
-107980	岿然不动	65536	107978	3	{i=1}
-107981	嘉勉	65536	22025	3	{v=0}
-107982	峡山镇	65536	108006	3	{ns=0}
-107983	尽瘁至	79971	127323	1	null
-107984	峥嵘	84306	23781	2	{z=0}
-107985	原子结	65892	126179	1	null
-107986	减号	65536	20943	3	{n=0}
-107987	峥嵘岁	81619	107984	1	null
-107988	属下	65536	23646	3	{n=6}
-107989	余暇	65536	20313	3	{n=0}
-107990	作乱	65536	20316	3	{v=0}
-107991	夜光表	65536	128132	3	{n=0}
-107992	如梦方	65538	141147	1	null
-107993	宗主	82977	23447	1	null
-107994	三边	65536	19977	1	null
-107995	峥嵘岁月	65536	107987	3	{i=0}
-107996	季报	65536	23395	3	{n=0, vn=0}
-107997	峨冠	86661	23784	1	null
-107998	国家安	75520	138133	1	null
-107999	峨冠博	83899	107997	1	null
-108000	刺参	65536	21050	3	{n=0}
-108001	峨冠博带	65536	107999	3	{i=0}
-108002	卑贱	65536	21329	3	{a=0}
-108003	刊载	65536	21002	3	{v=2, vn=0}
-108004	峨嵋山	65536	110984	3	{n=0}
-108005	峨眉山	65536	117574	3	{ns=0}
-108006	峡山	69767	23777	2	{ns=1}
-108007	峭岐镇	65536	108986	3	{ns=0}
-108008	天平集	65536	152451	3	{n=1}
-108009	倾轧	65536	20542	3	{v=0, vn=0}
-108010	中外	65730	20013	2	{j=38, s=0}
-108011	峭壁	65536	23789	3	{n=1}
-108012	峰回路	71298	110078	1	null
-108013	奏折	65536	22863	3	{n=0}
-108014	峰回路转	65536	108012	3	{i=0}
-108015	岩佐	65536	23721	3	{nr=0}
-108016	峻岭	65536	23803	3	{n=0}
-108017	崂山	86719	23810	2	{ns=0}
-108018	九鼎	65536	20061	3	{n=0}
-108019	夹层玻	71247	123010	1	null
-108020	亲缘	65536	20146	3	{n=1}
-108021	定向培	84506	144116	1	null
-108022	保利	65536	20445	3	{nz=1}
-108023	乱采	65536	20081	3	{v=6, vn=0}
-108024	书库	65536	20070	3	{n=2}
-108025	崂山区	65536	108017	3	{ns=2}
-108026	崆峒	84323	23814	1	null
-108027	中大	65536	20013	3	{nz=0}
-108028	书店	65536	20070	3	{n=14}
-108029	中天	65536	20013	3	{nz=2}
-108030	崆峒岛	65536	108026	3	{ns=0}
-108031	三连	65536	19977	1	null
-108032	完美无缺	65536	106701	3	{i=0}
-108033	崇山峻	84310	110383	1	null
-108034	中央	66137	20013	2	{f=19, n=670}
-108035	崇山峻岭	65536	108033	3	{i=3}
-108036	叫嚣	65536	21483	3	{v=0, vn=0}
-108037	主干	65567	20027	2	{n=3}
-108038	大力神	65536	149557	3	{nz=1}
-108039	崇州市	65536	110748	3	{ns=0}
-108040	崇拜者	65536	112026	3	{n=2}
-108041	交感	65540	20132	1	null
-108042	从政	65536	20174	3	{v=7, vn=0}
-108043	劳乏	65536	21171	3	{a=0}
-108044	地方时	65536	142360	3	{n=0}
-108045	天津站	65536	156213	3	{ns=3}
-108046	崇文区	65536	112709	3	{ns=0}
-108047	崇明县	65536	112844	3	{ns=1}
-108048	刺史	65536	21050	3	{n=0}
-108049	崇武镇	65536	114212	3	{ns=0}
-108050	吐泻	65536	21520	3	{v=0}
-108051	崇洋媚	85247	114633	1	null
-108052	发扬踔	71107	133316	1	null
-108053	崇洋媚外	65536	108051	3	{i=1}
-108054	崎岖	65536	23822	3	{a=3}
-108055	崖壁画	65536	109732	3	{n=0}
-108056	叫嚷	65536	21483	3	{v=0}
-108057	宇文	65536	23431	3	{nr=0}
-108058	如坐春	65605	136709	1	null
-108059	八大	65536	20843	3	{j=3}
-108060	偶遇	65536	20598	3	{v=0, vn=0}
-108061	崛起	65536	23835	3	{v=17, vn=7}
-108062	崖刻	65536	23830	3	{n=0}
-108063	崩龙族	65536	126324	3	{n=0}
-108064	崭露头	72788	120739	1	null
-108065	崭新	65536	23853	3	{b=29, z=0}
-108066	尘事	65536	23576	3	{n=0}
-108067	发展观	65536	131757	3	{n=3}
-108068	从教	65536	20174	3	{v=2, vn=0}
-108069	宜昌市	65536	112834	3	{ns=8}
-108070	崭露头角	65536	108064	3	{i=3}
-108071	崩塌	65536	23849	3	{v=0, vn=0}
-108072	崮山	69858	23854	1	null
-108073	崮山镇	65536	108072	3	{ns=0}
-108074	中奖	65536	20013	3	{v=7, vn=1}
-108075	崽子	65536	23869	3	{n=0}
-108076	孤独独	65536	129595	3	{z=0}
-108077	停息	65536	20572	3	{v=2, vn=0}
-108078	嵊州	84015	23882	2	{ns=6}
-108079	仙鹤	65540	20185	2	{n=0}
-108080	峻峭	65536	23803	3	{a=0}
-108081	嵊州市	65536	108078	3	{ns=1}
-108082	嶙峋	65536	23961	3	{z=1}
-108083	减员	65542	20943	2	{v=9, vn=1}
-108084	巅峰	65536	24005	3	{n=1}
-108085	嵌入	65536	23884	3	{v=0}
-108086	唱反	65698	21809	1	null
-108087	巍然屹	76658	113290	1	null
-108088	乳酪	65536	20083	3	{n=1}
-108089	宰客	65536	23472	3	{v=0}
-108090	峰会	65536	23792	3	{n=3, vn=0}
-108091	三通	65536	19977	2	{j=19}
-108092	巍峨	65536	24013	3	{z=1}
-108093	巍然屹立	65536	108087	3	{i=0}
-108094	云西	65537	20113	1	null
-108095	嵩县	65536	23913	3	{ns=1}
-108096	川东号	65536	113022	3	{nz=0}
-108097	孟子	65536	23391	3	{nr=0}
-108098	宇新	65536	23431	3	{nr=0}
-108099	川圹省	65536	115355	3	{ns=0}
-108100	乳酶	65536	20083	3	{n=0}
-108101	川流不	83416	120995	1	null
-108102	乳酸	65536	20083	2	{n=1}
-108103	川流不息	65536	108101	3	{i=1}
-108104	作代	66372	20316	1	null
-108105	坪石	77314	22378	1	null
-108106	川藏线	65536	127281	3	{nz=6}
-108107	州政府	65536	111070	3	{n=3}
-108108	别墅	67016	21035	2	{n=9}
-108109	巡回演	87124	112998	1	null
-108110	巡回演出	65536	108109	3	{l=3}
-108111	巡捕房	65536	116189	3	{n=0}
-108112	宗亲	65536	23447	3	{n=2}
-108113	击穿	65536	20987	3	{v=1, vn=0}
-108114	嘉华	65536	22025	3	{nz=1}
-108115	审计师	65536	132110	3	{n=1}
-108116	巡洋舰	65536	118675	3	{n=0}
-108117	巡航导	83741	124082	1	null
-108118	巡航导弹	65536	108117	3	{n=0}
-108119	属于	65536	23646	3	{v=86}
-108120	巡视员	65536	126030	3	{n=1}
-108121	代职	65536	20195	3	{v=1}
-108122	巡逻员	65536	127683	3	{n=0}
-108123	作件	65536	20316	3	{n=0}
-108124	作价	65536	20316	3	{v=2, vn=0}
-108125	工业体系	65536	108362	3	{l=1}
-108126	巢县	65536	24034	3	{ns=0}
-108127	工业气压	65536	115723	3	{l=0}
-108128	奋斗	80965	22859	2	{nz=0, v=82, vn=22}
-108129	岛内	65536	23707	3	{s=8}
-108130	冠词	65536	20896	3	{n=0}
-108131	工业革命	65536	126816	3	{l=1}
-108132	工人贵族	65536	123461	3	{l=0}
-108133	偏房	65536	20559	3	{n=0}
-108134	叶公	69986	21494	1	null
-108135	五岳	65536	20116	3	{j=0, n=1, nr=0}
-108136	到期	65536	21040	3	{b=0, v=9, vn=4}
-108137	声如银	65540	131844	1	null
-108138	工人党	65536	149258	3	{n=0}
-108139	工人运动	65536	124128	3	{l=1}
-108140	工人阶级	65536	125766	3	{n=11}
-108141	保加	65734	20445	1	null
-108142	工休日	65536	149345	3	{t=0}
-108143	工作母机	65536	126733	3	{l=0}
-108144	工兵团	65536	149957	3	{n=2}
-108145	工农分子	65536	109206	3	{n=1}
-108146	坎子	65536	22350	3	{n=0}
-108147	州委	65536	24030	3	{n=5}
-108148	工农差别	65536	112254	3	{l=0}
-108149	周期表	65536	126007	3	{n=0}
-108150	工农红军	65536	120626	3	{n=3}
-108151	天下大治	65536	103206	3	{l=0}
-108152	堂倌	65536	22530	3	{n=0}
-108153	工农联盟	65536	121060	3	{l=0}
-108154	去岁	65536	21435	3	{t=1}
-108155	从新	65536	20174	3	{d=0}
-108156	劳什	66003	21171	1	null
-108157	九龙	65550	20061	2	{ns=3}
-108158	医学	70342	21307	2	{n=31}
-108159	千载难	65542	131239	1	null
-108160	孢子植	74187	103474	1	null
-108161	工副业	65536	150207	3	{j=0}
-108162	工力悉	82232	150251	1	null
-108163	尤其	65536	23588	3	{d=158}
-108164	工力悉敌	65536	108162	3	{i=0}
-108165	委婉	65536	22996	3	{a=0, ad=0}
-108166	工务段	65536	150257	3	{n=0}
-108167	工厂化	65536	150482	3	{v=3, vn=1}
-108168	冬夜	65536	20908	3	{n=3}
-108169	哄笑	65536	21700	3	{vn=0}
-108170	工商企业	78144	108839	1	null
-108171	催肥	65536	20652	3	{v=0}
-108172	工商企业界	65536	108170	3	{n=1}
-108173	偏执	65536	20559	3	{a=1, an=1}
-108174	工团主	88135	151346	1	null
-108175	作伪	65606	20316	2	{v=8, vn=4}
-108176	工团主义	65536	108174	3	{n=0}
-108177	奖品	65536	22870	3	{n=5}
-108178	墙围	74489	22681	1	null
-108179	工字形	65536	152487	3	{n=0}
-108180	孤儿寡母	65536	103498	3	{n=0}
-108181	冬天	65536	20908	3	{t=34}
-108182	契文	65536	22865	3	{n=0}
-108183	坦诚相见	65536	97370	3	{i=0}
-108184	工学院	65536	152502	3	{n=2}
-108185	作伴	65536	20316	3	{v=0}
-108186	工工整	82215	153141	1	null
-108187	工工整整	65536	108186	3	{z=0}
-108188	妙不	80708	22937	1	null
-108189	即将	65536	21363	3	{d=99}
-108190	吟诗	65536	21535	3	{v=0}
-108191	工本费	65536	155516	3	{n=1}
-108192	工欲善	87340	156546	1	null
-108193	六腑	65536	20845	3	{n=0}
-108194	工欲善其	88092	108192	1	null
-108195	士多	76054	22763	1	null
-108196	五峰	65536	20116	3	{ns=1}
-108197	先发	66361	20808	1	null
-108198	垂体	65536	22402	3	{n=0}
-108199	工欲善其事	65536	108194	3	{i=1}
-108200	中委	65536	20013	3	{j=0}
-108201	唇膏	65536	21767	3	{n=0}
-108202	工农业	65536	149996	3	{j=0, n=15}
-108203	从无	65539	20174	1	null
-108204	工段长	65536	156677	3	{n=0}
-108205	工矿企	88213	159823	1	null
-108206	到来	68559	21040	2	{v=30, vn=35}
-108207	工矿企业	65536	108205	3	{l=0}
-108208	士大	75095	22763	1	null
-108209	工社党	65536	160142	3	{n=3}
-108210	工程建设	78187	112102	1	null
-108211	主张	65536	20027	3	{n=68, v=63, vn=1}
-108212	助学	65591	21161	2	{v=0, vn=3}
-108213	工笔画	65536	160612	3	{n=0}
-108214	剪接	65536	21098	3	{v=0}
-108215	工程建设界	65536	108210	3	{n=1}
-108216	工联主义	65536	108221	3	{n=0}
-108217	吸尘	72016	21560	1	null
-108218	书录	65536	20070	3	{n=0, v=0}
-108219	余杭	65536	20313	3	{ns=0}
-108220	吟诵	65536	21535	3	{v=0, vn=0}
-108221	工联主	88175	161956	1	null
-108222	工艺流程	65536	114539	3	{l=1}
-108223	层压	81046	23618	1	null
-108224	工艺美术	86528	119224	2	{l=6}
-108225	工艺美术品	65536	108224	3	{n=0}
-108226	工艺论典	65536	122340	3	{n=1}
-108227	双增长	65536	126454	3	{j=0}
-108228	劳动改	65543	109156	1	null
-108229	工薪层	65536	163322	3	{n=0}
-108230	工具书	65536	149959	3	{n=0}
-108231	书形	65536	20070	3	{n=1}
-108232	工薪阶层	65536	123065	3	{n=6}
-108233	工装裤	65536	164117	3	{n=0}
-108234	偏护	65536	20559	3	{v=0}
-108235	别处	65536	21035	3	{r=1}
-108236	工读生	65536	164939	3	{n=0}
-108237	叹观	65579	21497	1	null
-108238	工间操	65536	167492	3	{n=0}
-108239	下联	65536	19979	3	{n=0}
-108240	工青妇	65536	167842	3	{j=0}
-108241	冬奥	67736	20908	2	{j=0}
-108242	写稿	67648	20889	2	{v=1, vn=0}
-108243	假定	65536	20551	3	{n=0, v=0}
-108244	左不过	65536	128824	3	{d=0}
-108245	以战	65621	20197	1	null
-108246	书影	65536	20070	3	{n=0}
-108247	凶暴	65536	20982	3	{a=0}
-108248	低声	66533	20302	2	{d=0}
-108249	学前班	65536	141087	3	{n=0}
-108250	左云县	65536	128956	3	{ns=1}
-108251	左右为难	65536	108252	3	{i=1}
-108252	左右为	69661	130334	1	null
-108253	厂史	65536	21378	3	{n=0}
-108254	左右开弓	65536	112546	3	{i=0}
-108255	左右逢源	65536	125124	3	{i=2}
-108256	劳伤	65536	21171	3	{n=0}
-108257	左嗓子	65536	130814	3	{n=0}
-108258	先后	65536	20808	3	{ad=0, d=241, f=0, n=0}
-108259	小吃摊	65536	159243	3	{n=1}
-108260	乐谱	65537	20048	2	{n=0}
-108261	升任	65536	21319	3	{v=1}
-108262	凌辱	65536	20940	3	{v=1, vn=1}
-108263	左家塘	65536	132321	3	{ns=0}
-108264	左撇子	65536	134578	3	{n=0}
-108265	左权县	65536	135278	3	{ns=0}
-108266	巡逻哨	65536	127683	3	{n=0}
-108267	工艺品	65536	162506	3	{n=7}
-108268	左民党	65536	136508	3	{j=0}
-108269	反射镜	65536	130475	3	{n=0}
-108270	左膀右	75053	141995	1	null
-108271	左膀右臂	65536	108270	3	{l=1}
-108272	左轮手	81736	145561	1	null
-108273	东藏	65545	19996	1	null
-108274	左轮手枪	65536	108272	3	{n=0}
-108275	专项	65536	19987	3	{b=41, d=6, n=0}
-108276	众院	65536	20247	3	{j=4}
-108277	左道旁	69902	145790	1	null
-108278	左道旁门	65536	108277	3	{n=0}
-108279	左邻右	74987	145894	1	null
-108280	左邻右舍	65536	108279	3	{i=3}
-108281	娑罗树	65536	103091	3	{n=0}
-108282	左顾右	77823	147881	1	null
-108283	左顾右盼	65536	108282	3	{i=2}
-108284	士女	65536	22763	3	{n=0}
-108285	会审	65536	20250	3	{v=0, vn=1}
-108286	会客	65567	20250	2	{v=0}
-108287	壬未	65536	22764	3	{m=0}
-108288	巧克力	65536	118445	3	{n=4}
-108289	巧取豪	85452	119096	1	null
-108290	交战	65553	20132	2	{v=1, vn=1}
-108291	夯砣	65536	22831	3	{n=0}
-108292	兼有	65536	20860	3	{v=1}
-108293	圣诞老	76689	144776	1	null
-108294	巧取豪夺	65536	108289	3	{i=4}
-108295	巧夺天	84261	120476	1	null
-108296	侧视	65565	20391	1	null
-108297	三部	65536	19977	1	null
-108298	巧夺天工	65536	108295	3	{i=3}
-108299	工资分	65536	165268	3	{n=0}
-108300	巧立名	77861	129069	1	null
-108301	举鼎	65542	20030	1	null
-108302	吹嘘	65536	21561	3	{v=0, vn=0}
-108303	亲耳	65536	20146	3	{d=0}
-108304	国有股	65536	141032	3	{n=2}
-108305	安然无	80351	155250	1	null
-108306	专题	65540	19987	2	{d=0, n=38}
-108307	巧立名目	65536	108300	3	{i=2}
-108308	层叠	65536	23618	3	{z=0}
-108309	将令	65536	23558	3	{n=0}
-108310	代脉	65536	20195	3	{n=0}
-108311	博力	65536	21338	3	{nz=3}
-108312	劳作	65921	21171	2	{n=1, v=5, vn=1}
-108313	巧笑倩	87469	129139	1	null
-108314	叙言	65536	21465	3	{n=0}
-108315	巧笑倩兮	65536	108313	3	{i=1}
-108316	低头	66533	20302	2	{v=8, vd=0}
-108317	下肢	65536	19979	3	{n=1}
-108318	三都	65536	19977	3	{nr=0}
-108319	厚墩	68606	21402	1	null
-108320	巧舌如	76544	130926	1	null
-108321	巍巍	65536	24013	3	{z=1}
-108322	保单	65536	20445	3	{n=0}
-108323	叶利	65539	21494	1	null
-108324	化为	68835	21270	2	{v=8}
-108325	定向天	72913	144116	1	null
-108326	唇舌	65536	21767	3	{n=2}
-108327	巧舌如簧	65536	108320	3	{i=0}
-108328	巧言令	74935	132962	1	null
-108329	巧言令色	65536	108328	3	{i=0}
-108330	副刊	65536	21103	3	{n=5}
-108331	巧言如簧	65536	111046	3	{i=0}
-108332	巨型机	65536	129899	3	{n=1}
-108333	富贵病	65536	140551	3	{n=0}
-108334	充血	65536	20805	3	{v=1}
-108335	巨无霸	65536	133568	3	{i=0, nz=2}
-108336	只字	72786	21482	2	{n=0}
-108337	完全性	65536	113485	3	{n=1}
-108338	婚介所	65536	115833	3	{j=0}
-108339	党外	67352	20826	2	{s=19}
-108340	寺庙	65536	23546	3	{n=6}
-108341	交手	65536	20132	3	{v=0, vn=0}
-108342	唱响	65536	21809	3	{v=0}
-108343	巨石阵	65536	138195	3	{n=0}
-108344	保卫	65539	20445	2	{v=14, vn=5}
-108345	巨野县	65536	144814	3	{ns=0}
-108346	令人鼓	65538	86269	1	null
-108347	工资制	65536	165268	3	{n=4}
-108348	巩乃斯	65536	108351	3	{ns=0}
-108349	巩义市	65536	108357	3	{ns=0}
-108350	兼权	65536	20860	1	null
-108351	巩乃	82317	24041	1	null
-108352	巫头村	65536	111232	3	{ns=0}
-108353	巫山县	65536	112061	3	{ns=3}
-108354	作保	65536	20316	3	{v=0}
-108355	乌贼	65536	20044	3	{n=0}
-108356	巫峡镇	65536	112173	3	{ns=1}
-108357	巩义	84283	24041	1	null
-108358	兵器	65536	20853	3	{n=15}
-108359	差一点	87561	118007	2	{d=1}
-108360	差一点儿	65536	108359	3	{d=0}
-108361	差不多	65536	118020	3	{l=5}
-108362	工业体	76130	149098	1	null
-108363	太平洋	65536	119957	3	{ns=26, nz=0}
-108364	差之毫	86965	118082	1	null
-108365	差之毫厘	65536	108364	3	{i=0}
-108366	差价率	65536	118254	3	{n=1}
-108367	均衡论	65536	113409	3	{n=0}
-108368	差别化	65536	119074	3	{vn=1}
-108369	差强人	83524	122417	1	null
-108370	元帅	65536	20803	3	{n=17}
-108371	差强人意	65536	108369	3	{i=0}
-108372	商品生	74885	128893	1	null
-108373	偏振	66535	20559	1	null
-108374	主心	65538	20027	1	null
-108375	差旅费	65536	124092	3	{n=0}
-108376	副券	65536	21103	3	{n=0}
-108377	信口	65543	20449	2	{d=0}
-108378	差点儿	65536	126896	3	{d=1}
-108379	差错率	65536	136208	3	{n=0}
-108380	峰值	65536	23792	3	{n=1}
-108381	卑躬	66973	21329	1	null
-108382	差额选	88353	137108	1	null
-108383	差额选举	65536	108382	3	{l=1}
-108384	己所不	80947	118657	1	null
-108385	坑坑	69328	22353	1	null
-108386	孟山	66344	23391	1	null
-108387	凶杀	65548	20982	2	{v=2, vn=2}
-108388	勾芡	65536	21246	3	{v=0}
-108389	己所不欲	65536	108384	3	{i=0}
-108390	天高气	71694	167912	1	null
-108391	已决犯	65536	108407	3	{n=0}
-108392	信史	65536	20449	3	{n=0}
-108393	巳蛇	65536	24051	3	{t=0}
-108394	到校	65536	21040	3	{v=0}
-108395	巴不得	65536	142956	3	{v=0}
-108396	巴东县	65536	142971	3	{ns=0}
-108397	信号	66102	20449	2	{n=19}
-108398	尘俗	65536	23576	3	{n=0}
-108399	巴中市	65536	142988	3	{ns=0}
-108400	劳动日	65536	109156	3	{n=2}
-108401	巴伊亚	84375	143209	1	null
-108402	孩提	65536	23401	3	{n=1}
-108403	审判庭	65536	117393	3	{n=3}
-108404	上议	65539	19978	1	null
-108405	巴伊亚州	65536	108401	3	{ns=0}
-108406	巴伐利	88286	143215	1	null
-108407	已决	79032	24050	1	null
-108408	巴伐利亚	84381	108406	1	null
-108409	合成词	65536	131877	3	{n=0}
-108410	奥克	80379	22885	1	null
-108411	巴伐利亚州	65536	108408	3	{ns=2}
-108412	借支	65536	20511	3	{v=0}
-108413	喉科	71706	21897	1	null
-108414	巴伦支	80393	143237	1	null
-108415	交投	65536	20132	3	{v=1}
-108416	巴伦支海	65536	108414	3	{ns=5}
-108417	厦门	68689	21414	2	{ns=25}
-108418	别妻	65580	21035	1	null
-108419	巴伦西亚	65536	117710	3	{ns=1}
-108420	巴儿狗	65536	143774	3	{n=0}
-108421	上访	65539	19978	2	{v=7, vn=4}
-108422	巴克夏	78942	143786	1	null
-108423	上证	65538	19978	2	{j=7}
-108424	巴克夏猪	65536	108422	3	{n=0}
-108425	巴利阿	71103	144008	1	null
-108426	便溺	65536	20415	3	{n=0, v=0}
-108427	巴利阿里	65536	108425	3	{ns=0}
-108428	巴勒斯	86055	144177	1	null
-108429	巴勒斯坦	86161	108428	2	{ns=77}
-108430	巴勒斯坦国	65536	108429	3	{ns=0}
-108431	上诉	65609	19978	2	{v=6, vn=1}
-108432	巴哈马	65536	144679	3	{ns=1}
-108433	司令部	65536	105668	3	{n=6}
-108434	借故	65536	20511	3	{d=1}
-108435	巴基斯	86062	145497	1	null
-108436	巴基斯坦	71321	108435	2	{ns=41}
-108437	下脚	65536	19979	2	{n=0, v=1}
-108438	巴基斯坦都	65536	108436	3	{ns=0}
-108439	剑阁	67226	21073	1	null
-108440	墙基	65536	22681	3	{n=0}
-108441	劳保	65662	21171	2	{j=0, n=4}
-108442	巴塔哥	84831	145587	1	null
-108443	巴塔哥尼	88327	108442	1	null
-108444	工联会	65536	161956	3	{j=0}
-108445	伊藤	65536	20234	3	{nr=0, nz=1}
-108446	固墙	65632	22266	1	null
-108447	奥兰	80341	22885	1	null
-108448	优质	66057	20248	2	{b=84, d=0}
-108449	巴塔哥尼亚	65536	108443	3	{ns=0}
-108450	发电量	65536	138125	3	{n=0}
-108451	产褥	65561	20135	1	null
-108452	巴塞罗那	65536	117483	3	{ns=1}
-108453	各有所长	65536	97316	3	{i=1}
-108454	令人齿	65553	86269	1	null
-108455	婉拒	65536	23113	3	{a=0, v=0, vn=1}
-108456	巴塞尔	65536	145597	3	{ns=0}
-108457	巴士底	79036	145738	1	null
-108458	假山	65536	20551	3	{n=0}
-108459	刚正	68280	21018	2	{a=0}
-108460	作假	65536	20316	3	{v=0, vn=0}
-108461	巴士底狱	65536	108457	3	{n=0}
-108462	巴尔干	65536	146547	3	{ns=1}
-108463	巴尔扎克	65536	109450	3	{nr=1}
-108464	堂兄	73334	22530	2	{n=0}
-108465	会展	65536	20250	3	{j=2}
-108466	巴尼亚	87121	146587	1	null
-108467	巴尼亚卢	87123	108466	1	null
-108468	巴尼亚卢卡	65536	108467	3	{ns=0}
-108469	巴山雨	85659	146640	1	null
-108470	劝诫	65536	21149	3	{v=1}
-108471	巴山雨夜	65536	108469	3	{l=1}
-108472	巴巴多	82442	147027	1	null
-108473	巴巴多斯	65536	108472	3	{ns=0}
-108474	巴布亚	82443	147042	1	null
-108475	巴布亚新	87518	108474	1	null
-108476	劝诱	65536	21149	3	{v=0}
-108477	体察	65536	20307	3	{v=5, vn=0}
-108478	巴布亚新几	87616	108475	1	null
-108479	劝说	65536	21149	3	{v=3, vn=0}
-108480	兵团	65536	20853	3	{n=8}
-108481	元年	65536	20803	3	{t=3}
-108482	困难重	65620	122970	1	null
-108483	充裕	65536	20805	3	{a=9}
-108484	上课	65536	19978	3	{v=15, vn=0}
-108485	巴布亚新几内	88365	108478	1	null
-108486	先哲	65536	20808	3	{n=0}
-108487	巴布亚新几内亚	65536	108485	3	{ns=1}
-108488	巴彦浩特	65536	108500	3	{ns=0}
-108489	上调	65536	19978	3	{v=3, vn=0}
-108490	六艺	65536	20845	3	{n=0}
-108491	寄售库	65536	112273	3	{n=0}
-108492	不攻	65538	19981	1	null
-108493	传布	65536	20256	3	{v=0}
-108494	巴彦淖尔	78067	108609	1	null
-108495	养成	65536	20859	3	{v=11, vn=1}
-108496	冲垮	65536	20914	3	{v=1}
-108497	五帝	65536	20116	3	{n=0}
-108498	巴彦淖尔盟	65536	108494	3	{ns=0}
-108499	巴德梅	65536	147478	3	{ns=0}
-108500	巴彦浩	79183	147397	1	null
-108501	巴恩市	65536	147656	3	{ns=0}
-108502	停战	65536	20572	3	{v=3, vn=3}
-108503	墓子	65536	22675	3	{n=0}
-108504	巴拉哈斯	65536	108515	3	{ns=0}
-108505	孔明	74539	23380	1	null
-108506	委实	65536	22996	3	{d=0}
-108507	上谕	65536	19978	3	{n=0}
-108508	巴拉那河	65536	123838	3	{ns=0}
-108509	博卡	69702	21338	2	{ns=0}
-108510	力学	65536	21147	3	{n=0}
-108511	寸土	86408	23544	2	{n=0}
-108512	岗亭	65536	23703	3	{n=7}
-108513	巴拿马	86048	148318	2	{ns=8}
-108514	呆笨	65536	21574	3	{a=0}
-108515	巴拉哈	82473	148264	1	null
-108516	协约	68320	21327	2	{n=0}
-108517	巴林国	65536	149494	3	{ns=0}
-108518	区属	65536	21306	3	{b=2}
-108519	巴格达	65536	149659	3	{ns=33}
-108520	填料	65536	22635	3	{n=0}
-108521	巴比伦	65536	150579	3	{ns=0}
-108522	不教	65555	19981	1	null
-108523	伤风	65544	20260	2	{vn=1}
-108524	五常	65586	20116	2	{ns=1}
-108525	三里	65536	19977	1	null
-108526	巴拿马城	65536	108513	3	{ns=0}
-108527	三野	65536	19977	3	{j=1}
-108528	巴洛克	65536	150906	3	{nz=1}
-108529	党委	67461	20826	2	{n=170}
-108530	巴甫洛	85707	152970	1	null
-108531	不敢	65539	19981	1	null
-108532	下腹	65536	19979	3	{n=0}
-108533	从未	65548	20174	2	{d=28}
-108534	巴甫洛夫	65536	108530	3	{nr=0}
-108535	巴蓬案	65536	157003	3	{nz=0}
-108536	传帮	65578	20256	1	null
-108537	巴西利	88420	158174	1	null
-108538	嘴脸	65536	22068	3	{n=1}
-108539	原子能	65536	126179	3	{n=12}
-108540	关外	65536	20851	3	{s=0}
-108541	修理	66847	20462	2	{v=6, vn=9}
-108542	巴西利亚	65536	108537	3	{ns=8}
-108543	巴西联邦	87698	120356	1	null
-108544	专馆	65536	19987	3	{n=0}
-108545	兵圣	65536	20853	3	{n=1}
-108546	优越	65576	20248	2	{a=6, an=0}
-108547	巴西联邦共	86904	108543	1	null
-108548	巴西联邦共和	86280	108547	1	null
-108549	巴西联邦共和国	65536	108548	3	{ns=0}
-108550	借方	65536	20511	3	{n=0}
-108551	命官	65536	21629	3	{n=2}
-108552	填方	65576	22635	2	{n=1}
-108553	停手	65536	20572	3	{v=0}
-108554	巴解组	76101	158274	1	null
-108555	屈从	65536	23624	3	{v=1}
-108556	巴解组织	65536	108554	3	{j=7, nt=0}
-108557	刚毅	65536	21018	3	{a=1, an=0, nr=0, nz=0}
-108558	从权	65536	20174	3	{d=0}
-108559	姜春	82717	23004	1	null
-108560	剧毒	65536	21095	3	{n=2}
-108561	室外	65536	23460	3	{s=3}
-108562	将信	83075	23558	1	null
-108563	尺动	74350	23610	1	null
-108564	向导	72396	21521	2	{n=1}
-108565	巴里巴	71244	160299	1	null
-108566	孙女	80248	23385	2	{n=5}
-108567	厅长	65536	21381	3	{n=2}
-108568	巴里巴里	65536	108565	3	{ns=0}
-108569	克扣	65536	20811	3	{v=5}
-108570	关头	65536	20851	3	{n=10}
-108571	巴陵郡	65536	161492	3	{ns=0}
-108572	岳丈	65536	23731	3	{n=0}
-108573	屋内	65536	23627	3	{s=5}
-108574	巴音郭	81602	161874	1	null
-108575	创始	68112	21019	2	{v=1, vn=0}
-108576	巴音郭楞	65536	108574	3	{ns=0, nz=1}
-108577	奉为	78804	22857	1	null
-108578	巴马科	65536	162507	3	{ns=0}
-108579	害处	65536	23475	3	{n=1}
-108580	中子	65540	20013	2	{n=3}
-108581	争鲜	65543	20105	1	null
-108582	升值	65536	21319	3	{v=12, vn=3}
-108583	巴黎公	77547	163629	1	null
-108584	五年	65558	20116	1	null
-108585	巴黎公社	65536	108583	3	{l=0}
-108586	不料	65536	19981	3	{d=3, v=1}
-108587	墓室	65536	22675	3	{n=0}
-108588	居住地	65536	112382	3	{n=1}
-108589	大动脉	65536	149570	3	{n=5}
-108590	巾帼英	69999	108649	1	null
-108591	巷口	65536	24055	3	{s=0}
-108592	从来	66243	20174	2	{d=17}
-108593	厂商	65536	21378	3	{n=12}
-108594	奸人	65536	22904	3	{n=0}
-108595	巾帼英雄	65536	108590	3	{i=0}
-108596	坦桑	73742	22374	2	{j=0}
-108597	卸责	65536	21368	3	{v=0}
-108598	基本矛	67204	131753	1	null
-108599	币望台	65536	114455	3	{n=0}
-108600	币值	65536	24065	3	{n=8}
-108601	卸货	65536	21368	3	{v=0}
-108602	中学	65543	20013	2	{n=62}
-108603	因小见	73351	113770	1	null
-108604	市井小	88467	135517	1	null
-108605	另议	65536	21478	3	{v=0}
-108606	不断	65536	19981	3	{a=0, ad=0, d=418}
-108607	垫片	65536	22443	3	{n=0}
-108608	工商业	65536	150934	3	{j=11, n=1}
-108609	巴彦淖	84922	147397	1	null
-108610	巾帕	65536	24062	3	{n=1}
-108611	伊蚊	65536	20234	3	{n=0}
-108612	季节洄	75271	116153	1	null
-108613	保护费	65536	112241	3	{n=1}
-108614	化作	65536	21270	3	{v=1}
-108615	嬉皮	80486	23305	1	null
-108616	市中区	65536	135413	3	{s=2}
-108617	契机	65536	22865	3	{n=19}
-108618	保命	65570	20445	1	null
-108619	八字	65549	20843	2	{n=3}
-108620	交换	65936	20132	2	{v=49, vn=8}
-108621	市井小人	65536	108604	3	{i=0}
-108622	市北区	65536	136671	3	{ns=0}
-108623	市南区	65536	136735	3	{n=1, ns=3}
-108624	市厅级	65536	136781	3	{b=0}
-108625	叫声	65536	21483	3	{n=0, v=0}
-108626	博取	65536	21338	3	{v=0}
-108627	市场准入	65536	109436	3	{l=5}
-108628	市场分析	85154	109500	1	null
-108629	唯实	65536	21807	3	{v=0}
-108630	乐趣	65536	20048	3	{n=10}
-108631	号声	65536	21495	3	{n=1}
-108632	市场分析家	65536	108628	3	{n=3}
-108633	保和	65538	20445	1	null
-108634	工资单	65536	165268	3	{n=0}
-108635	叶卡	67435	21494	1	null
-108636	市场占有	79062	109846	1	null
-108637	市场占有率	65536	108636	3	{n=16}
-108638	下臣	65536	19979	3	{n=1}
-108639	墙壁	65536	22681	3	{n=4}
-108640	博古	65540	21338	1	null
-108641	工程兵	65536	160347	3	{n=4}
-108642	市场管理	72497	120151	1	null
-108643	养护	65536	20859	3	{v=0, vn=0}
-108644	宾士	83414	23486	1	null
-108645	决然	65536	20915	3	{d=1}
-108646	啤酒馆	65536	102744	3	{n=1}
-108647	凯鲁	65663	20975	1	null
-108648	坑塘	65536	22353	3	{n=0}
-108649	巾帼	75069	24062	2	{b=25}
-108650	市场管理费	65536	108642	3	{n=3}
-108651	划水	65536	21010	3	{v=0}
-108652	喧腾	65536	21927	3	{v=0}
-108653	去年	70350	21435	2	{t=874}
-108654	室女	65536	23460	3	{n=0}
-108655	充要	65664	20805	1	null
-108656	市场经济	72889	120965	2	{n=237}
-108657	不无	65556	19981	2	{v=5}
-108658	喀秋	65540	21888	1	null
-108659	市场经济论	65536	108656	3	{n=1}
-108660	市府大	81657	139620	1	null
-108661	市府大楼	65536	108660	3	{n=2}
-108662	市用制	65536	145392	3	{n=0}
-108663	中宣	65543	20013	1	null
-108664	市编委	65536	147934	3	{j=1}
-108665	京郊	65536	20140	3	{j=15, ns=1, s=0}
-108666	副博	65918	21103	1	null
-108667	市话局	65536	151205	3	{j=0}
-108668	含垢	69529	21547	1	null
-108669	号外	65536	21495	3	{n=0}
-108670	市辖区	65536	152158	3	{n=2}
-108671	克拉	66444	20811	2	{q=0}
-108672	岗位	65536	23703	3	{n=124}
-108673	市政协	65536	141319	3	{j=8}
-108674	布依族	65536	137973	3	{nz=4}
-108675	布加勒	82647	138744	1	null
-108676	委屈	65536	22996	3	{a=2, ad=0, an=0, v=2, vn=2}
-108677	喇叭裤	65536	95177	3	{n=0}
-108678	布加勒斯	79379	108675	1	null
-108679	不时	65536	19981	3	{d=22}
-108680	嘉善	73965	22025	2	{ns=1}
-108681	向山	65536	21521	3	{nr=0}
-108682	大手笔	65536	153573	3	{l=1, n=2}
-108683	偷梁	65538	20599	1	null
-108684	布加勒斯特	65536	108678	3	{ns=8}
-108685	垂手而	72923	113054	1	null
-108686	宾夕	78053	23486	1	null
-108687	交接	65539	20132	2	{v=5, vn=10}
-108688	布兰卡	65536	138440	3	{ns=0}
-108689	八宝	65565	20843	1	null
-108690	基础科	74275	136125	1	null
-108691	布勒伊	83404	138794	1	null
-108692	寂无	71057	23490	1	null
-108693	布勒伊拉	65536	108691	3	{nz=0}
-108694	布吉镇	65536	139105	3	{ns=1}
-108695	催花	65568	20652	1	null
-108696	劳动服	65536	109156	3	{n=0}
-108697	凉棚	65536	20937	3	{n=1}
-108698	布基纳	80844	140114	1	null
-108699	号头	65536	21495	3	{n=0}
-108700	奥迪车	65536	124441	3	{n=2}
-108701	奏效	65536	22863	3	{v=3}
-108702	实验性	65536	160107	3	{n=1}
-108703	不明	65793	19981	2	{a=0, v=2, vn=1}
-108704	中富	65536	20013	3	{nz=1}
-108705	布基纳法	76677	108698	1	null
-108706	主意	65536	20027	3	{n=7}
-108707	催芽	65536	20652	3	{vn=0}
-108708	不易	65732	19981	2	{a=9, ad=4, an=1}
-108709	副厅	65685	21103	1	null
-108710	尚且	65536	23578	3	{c=4}
-108711	布基纳法索	65536	108705	3	{ns=0}
-108712	布宜诺	82683	141044	1	null
-108713	布告板	65536	139170	3	{n=0}
-108714	布宜诺斯	75313	108712	1	null
-108715	凤阳	66667	20964	2	{ns=1}
-108716	京都	65555	20140	2	{ns=2}
-108717	市场价	65536	137730	3	{n=4}
-108718	五建	65536	20116	3	{j=0}
-108719	布宜诺斯艾	87688	108714	1	null
-108720	尿崩	77353	23615	1	null
-108721	布宜诺斯艾利	82691	108719	1	null
-108722	布宜诺斯艾利斯	84657	108721	2	{ns=6}
-108723	布宜诺斯艾利斯市	65536	108722	3	{ns=1}
-108724	下船	65536	19979	3	{v=0}
-108725	力尽	65540	21147	1	null
-108726	地老虎	65536	149088	3	{n=0}
-108727	市政厅	65536	141319	3	{n=2}
-108728	孩子气	65536	106226	3	{n=0}
-108729	叶县	65536	21494	3	{ns=0}
-108730	布尔奇	77547	141164	1	null
-108731	几许	65536	20960	3	{m=3}
-108732	布尔奇科	65536	108730	3	{ns=0}
-108733	布拉图西	65536	109567	3	{n=0}
-108734	布拉戈维	78732	112393	1	null
-108735	布拉戈维申	82710	108734	1	null
-108736	不是	65537	19981	2	{c=2, d=0, v=2}
-108737	学有所	78470	146395	1	null
-108738	及锋	65701	21450	1	null
-108739	小道理	65536	174683	3	{n=0}
-108740	即席	65536	21363	3	{d=2}
-108741	布拉戈维申斯	87932	108735	1	null
-108742	亲自	65536	20146	3	{d=65}
-108743	布拉戈维申斯克	84678	108741	1	null
-108744	布拉戈维申斯克市	65536	108743	3	{ns=0}
-108745	味觉	65536	21619	3	{n=0}
-108746	传开	65536	20256	3	{v=1}
-108747	布拉格宫	65536	113981	3	{ns=2}
-108748	布拖县	65536	142894	3	{ns=5}
-108749	囊肿	65536	22218	3	{n=0}
-108750	劳动权	65536	109156	3	{n=0}
-108751	冬季	67983	20908	2	{t=71}
-108752	布朗族	65536	143983	3	{nz=1}
-108753	史学	69405	21490	2	{n=2}
-108754	墙头	65792	22681	2	{n=1}
-108755	布朗运动	65536	119505	3	{l=0}
-108756	布歇赫	85187	145055	1	null
-108757	叽里	71323	21501	1	null
-108758	奸佞	65536	22904	3	{a=0, n=0}
-108759	布歇赫尔	65536	108756	3	{nz=0}
-108760	叹词	65536	21497	3	{n=0}
-108761	布琼布	83480	147348	1	null
-108762	中将	65536	20013	3	{n=19}
-108763	尚义	85838	23578	2	{ns=24}
-108764	刀子	65536	20992	3	{n=2}
-108765	中尉	65536	20013	3	{n=0}
-108766	叫好	70020	21483	2	{v=8}
-108767	副县	65687	21103	1	null
-108768	固定资	76183	109215	1	null
-108769	布琼布拉	65536	108761	3	{ns=1}
-108770	布纹纸	65536	150033	3	{n=0}
-108771	中小	65704	20013	2	{b=6}
-108772	卫生城	65536	104874	3	{n=0}
-108773	中少	65536	20013	1	null
-108774	布线图	65536	150039	3	{n=0}
-108775	布老虎	65536	150361	3	{n=4}
-108776	囊胚	65536	22218	3	{n=0}
-108777	岸上	65536	23736	3	{s=2}
-108778	布莱夏	65536	151305	3	{ns=0}
-108779	布谷鸟	65536	153487	3	{n=0}
-108780	上账	65536	19978	3	{v=0}
-108781	布达佩	82751	154390	1	null
-108782	布达佩斯	65536	108781	3	{ns=1}
-108783	布达拉宫	65536	113741	3	{ns=5}
-108784	净角	65536	20928	3	{n=0}
-108785	云谲	65538	20113	1	null
-108786	侧记	65536	20391	3	{n=3, v=0}
-108787	反射面	65536	130475	3	{n=0}
-108788	布道台	65536	154539	3	{n=1}
-108789	布里奇	69751	154916	1	null
-108790	布里奇顿	65536	108789	3	{n=0}
-108791	布里斯班	65536	111965	3	{ns=1}
-108792	尚书	65536	23578	3	{n=0}
-108793	布隆迪	87945	156126	2	{ns=2}
-108794	布隆迪共	87151	108793	1	null
-108795	布隆迪共和	86528	108794	1	null
-108796	商业界	65536	127190	3	{n=1}
-108797	布隆迪共和国	65536	108795	3	{ns=0}
-108798	孵化期	65536	104734	3	{t=0}
-108799	布鲁塞尔	84740	108804	2	{ns=11}
-108800	不景	65541	19981	1	null
-108801	奥勒	74736	22885	1	null
-108802	上贼	65536	19978	1	null
-108803	史官	65536	21490	3	{n=0}
-108804	布鲁塞	85227	157657	1	null
-108805	云豆	65536	20113	3	{n=0}
-108806	布鲁塞尔市	65536	108799	3	{ns=0}
-108807	布鲁氏菌	65536	113845	3	{n=0}
-108808	布鲁金斯	65536	123511	3	{nz=0}
-108809	史实	65536	21490	3	{n=10}
-108810	布拉吉	65536	142881	3	{n=0}
-108811	危害	66552	21361	2	{n=1, v=38, vn=20}
-108812	勤苦	65536	21220	3	{a=0, ad=0}
-108813	共有	65536	20849	3	{d=1, v=69, vn=0}
-108814	叙说	65536	21465	3	{v=1, vn=1}
-108815	天然气	65536	157254	3	{n=42}
-108816	布鼓雷	70443	158315	1	null
-108817	布雷区	65536	156239	3	{n=0}
-108818	吃喝风	65536	122644	3	{n=0}
-108819	布鼓雷门	65536	108816	3	{i=0}
-108820	壁报	65536	22721	3	{n=0}
-108821	帆布床	65536	108828	3	{n=0}
-108822	中层	65536	20013	3	{f=8, n=0}
-108823	冬宫	65536	20908	3	{ns=0}
-108824	帆张网	65536	109113	3	{n=0}
-108825	察察	86279	23519	1	null
-108826	师出无	87314	130905	1	null
-108827	健谈	65536	20581	3	{a=0}
-108828	帆布	84619	24070	2	{n=0}
-108829	五彩	65540	20116	2	{b=4}
-108830	别字	65536	21035	3	{n=0}
-108831	师出无名	65536	108826	3	{i=0}
-108832	医师	65536	21307	3	{n=7}
-108833	士官	65536	22763	3	{n=1}
-108834	叙谈	65536	21465	3	{vn=0}
-108835	师团职	65536	132161	3	{n=0}
-108836	坎市	65536	22350	3	{ns=0}
-108837	师心自	78851	134434	1	null
-108838	帅位	65536	24069	3	{n=0}
-108839	工商企	88176	150934	1	null
-108840	医学院	65536	108158	3	{n=10}
-108841	岁修	65536	23681	3	{n=0}
-108842	在所不辞	65536	96864	3	{i=0}
-108843	师心自用	65536	108837	3	{i=0}
-108844	下花	65537	19979	1	null
-108845	右眼	65536	21491	3	{n=2}
-108846	师生员	84811	139902	1	null
-108847	币望哨	65536	114455	3	{n=0}
-108848	师生员工	65536	108846	3	{j=1}
-108849	师范大学	65536	108853	3	{n=12}
-108850	师道尊	88849	146866	1	null
-108851	助工	65536	21161	3	{j=0}
-108852	师范学校	65536	109428	3	{l=2, n=0}
-108853	师范大	85451	143458	1	null
-108854	师道尊严	65536	108850	3	{i=0}
-108855	坎帕	71951	22350	1	null
-108856	云豹	65536	20113	3	{n=0}
-108857	布告栏	65536	139170	3	{n=1}
-108858	假币	65536	20551	3	{n=6}
-108859	希世之	79215	115379	1	null
-108860	希世之珍	65536	108859	3	{i=0}
-108861	希伯伦	65536	115660	3	{ns=3}
-108862	冬寒	65536	20908	3	{n=1}
-108863	五律	65536	20116	3	{n=0}
-108864	希伯来文	65536	115068	3	{n=0}
-108865	希尔顿	65536	118961	3	{nr=2, nz=8}
-108866	希思罗	65536	119994	3	{ns=0}
-108867	希斯罗	65536	121420	3	{ns=0}
-108868	任课	65536	20219	3	{v=0, vn=1}
-108869	中山	65571	20013	2	{nr=0, ns=3, nz=1}
-108870	希特勒	65536	124694	3	{nr=3}
-108871	吹塑	65536	21561	3	{vn=0}
-108872	希腊共和	86605	108876	1	null
-108873	兴业	66213	20852	2	{nz=0, v=1}
-108874	希腊共和国	65536	108872	3	{ns=0}
-108875	冲天	65536	20914	3	{z=0}
-108876	希腊共	87228	128487	1	null
-108877	喉管	65536	21897	3	{n=0}
-108878	察尔	78580	23519	1	null
-108879	升入	65536	21319	3	{v=1}
-108880	希腊字母	65536	111410	3	{l=0}
-108881	帏幕	65536	24079	3	{n=0}
-108882	外行话	65536	155341	3	{n=1}
-108883	帕塔亚	65536	108896	3	{ns=2}
-108884	帕拉马	71564	111573	1	null
-108885	否认	65536	21542	3	{v=15, vn=1}
-108886	孙媳	80497	23385	1	null
-108887	妖娆	65536	22934	3	{a=0, an=0}
-108888	帕拉马里	87551	108884	1	null
-108889	帕拉马里博	84824	108888	1	null
-108890	帕拉马里博市	65536	108889	3	{ns=0}
-108891	帕特里	88082	115589	1	null
-108892	季春	65536	23395	3	{t=0}
-108893	帕特里克	65536	108891	3	{nz=0}
-108894	帕米尔	65536	118143	3	{ns=1}
-108895	作出	65536	20316	3	{v=366}
-108896	帕塔	88761	24085	1	null
-108897	下苦	65544	19979	1	null
-108898	帐子	65536	24080	3	{n=0}
-108899	帕隆藏	84834	124818	1	null
-108900	会师	65536	20250	3	{v=0, vn=0}
-108901	帕隆藏布	81159	108899	1	null
-108902	帕隆藏布江	65536	108901	3	{ns=0}
-108903	帘子布	65536	108904	3	{n=0}
-108904	帘子	84836	24088	2	{n=0}
-108905	办班	65536	21150	3	{v=0, vn=0}
-108906	帛书	65536	24091	3	{n=0}
-108907	帝国主	88867	111006	1	null
-108908	帝国主义	65536	108907	3	{n=6}
-108909	帝王将	78456	118316	1	null
-108910	孑然	83341	23377	1	null
-108911	中岛	65536	20013	3	{nr=0}
-108912	帝王将相	65536	108909	3	{i=1}
-108913	壁挂	73571	22721	2	{b=0, n=0}
-108914	带兵人	65536	120055	3	{n=2}
-108915	带分数	65536	120200	3	{n=0}
-108916	带动力	65536	120362	3	{n=1}
-108917	姓氏	65536	22995	3	{n=0}
-108918	带勤率	65536	120422	3	{n=0}
-108919	带工头	65536	123239	3	{n=0}
-108920	兴义	65754	20852	2	{ns=0}
-108921	东街	65536	19996	3	{n=1, ns=2}
-108922	对外开	80513	147281	1	null
-108923	冬小	65537	20908	1	null
-108924	带菌者	65536	132942	3	{n=0}
-108925	带头人	65536	122038	3	{n=17}
-108926	席位数	65536	109282	3	{n=1}
-108927	席卷一	77574	110348	1	null
-108928	席卷一空	65536	108927	3	{i=0}
-108929	席地而	86581	111301	1	null
-108930	办理	65536	21150	3	{j=0, v=63, vn=1}
-108931	乳钵	65536	20083	3	{n=0}
-108932	席卷而来	65536	121739	3	{i=0}
-108933	席地而坐	65536	108929	3	{i=0}
-108934	圣诞节	65536	144776	3	{t=13}
-108935	借机	65536	20511	3	{d=3}
-108936	席梦思	65536	115771	3	{n=2}
-108937	奥博	65536	22885	3	{a=0}
-108938	尿布	65536	23615	3	{n=0}
-108939	宋城	65536	23435	3	{ns=0}
-108940	卵细	65547	21365	1	null
-108941	帮倒忙	65536	117463	3	{l=0}
-108942	帮贫济	86689	133104	1	null
-108943	不曾	65536	19981	3	{d=6}
-108944	岭地	65536	23725	3	{n=0}
-108945	帮贫济困	65536	108942	3	{i=0}
-108946	常务委员	65536	108947	3	{n=1}
-108947	常务委	87354	140346	1	null
-108948	常务董事	65536	119842	3	{n=2}
-108949	作到	65536	20316	3	{v=0}
-108950	常备不	83919	141984	1	null
-108951	常备不懈	65536	108950	3	{i=3}
-108952	危局	65536	21361	3	{n=0}
-108953	常太镇	65536	142019	3	{ns=0}
-108954	孝子	67303	23389	2	{n=0}
-108955	常委会	65536	142189	3	{j=140}
-108956	常山县	65536	142858	3	{ns=0}
-108957	常德市	65536	143696	3	{ns=1}
-108958	不服	65542	19981	2	{v=5, vn=0}
-108959	常抓不	83928	144428	1	null
-108960	常抓不懈	65536	108959	3	{l=9}
-108961	常州城	65536	143223	3	{ns=0}
-108962	刀尖	65536	20992	3	{n=0}
-108963	常春藤	65536	145342	3	{n=0}
-108964	书房	65536	20070	3	{n=2}
-108965	少林拳	65536	134090	3	{n=1}
-108966	常流水	65536	147162	3	{n=1}
-108967	常温动	79679	147394	1	null
-108968	常温动物	65536	108967	3	{l=0}
-108969	常熟市	65536	148280	3	{ns=0}
-108970	常用字	65536	149185	3	{n=0}
-108971	主战	65541	20027	1	null
-108972	争鸣	65536	20105	3	{v=1, vn=2}
-108973	常用对数	65536	109132	3	{l=0}
-108974	借条	65536	20511	3	{n=0}
-108975	帷子	65536	24119	3	{n=0}
-108976	不期	65556	19981	1	null
-108977	安居工	73694	149889	1	null
-108978	常绿植物	65536	109232	3	{l=0}
-108979	对话性	65536	160280	3	{n=1}
-108980	常绿树	65536	151704	3	{n=0}
-108981	上路	65536	19978	3	{v=5, vn=1}
-108982	吸引	72990	21560	2	{v=102, vn=0}
-108983	常规战	88879	154461	1	null
-108984	常规战争	65536	108983	3	{l=0, n=0}
-108985	常见于	65536	154458	3	{v=0}
-108986	峭岐	69792	23789	1	null
-108987	冻雨	65536	20923	3	{n=1}
-108988	常规武器	65536	111365	3	{l=1}
-108989	常识课	65536	154975	3	{n=0}
-108990	常驻程	84787	158740	1	null
-108991	尿常	72238	23615	1	null
-108992	史展	65536	21490	3	{j=1}
-108993	常青树	65536	157931	3	{n=3}
-108994	常驻程序	65536	108990	3	{l=0}
-108995	体工	65642	20307	1	null
-108996	宫外	82324	23467	1	null
-108997	幅员辽	70578	109019	1	null
-108998	幅员辽阔	65536	108997	3	{i=2}
-108999	幌子	65536	24140	3	{n=2}
-109000	司寨	66479	21496	1	null
-109001	兵士	65536	20853	3	{n=0}
-109002	卑鄙	65741	21329	2	{a=0}
-109003	回头路	65536	133428	3	{n=0}
-109004	将军	80157	23558	2	{n=31, nz=0, v=0}
-109005	亲英	65544	20146	1	null
-109006	不朽	65536	19981	3	{a=0, z=9}
-109007	幔帐	65536	24148	3	{n=0}
-109008	兴亡	65536	20852	3	{n=1, v=0, vn=0}
-109009	嫁接	65536	23233	3	{v=6, vn=2}
-109010	大老粗	65536	161179	3	{n=0}
-109011	幕天席	86692	111543	1	null
-109012	幕天席地	65536	109011	3	{i=0}
-109013	幛子	65536	24155	3	{n=0}
-109014	幡然	65536	24161	3	{d=1}
-109015	干云蔽	82935	151266	1	null
-109016	干事会	65536	151260	3	{n=1}
-109017	吴茱	65537	21556	1	null
-109018	喃语	65536	21891	3	{n=1}
-109019	幅员	72200	24133	2	{n=1}
-109020	干云蔽日	65536	109015	3	{i=1}
-109021	创安	65536	21019	3	{j=1}
-109022	干亲家	65536	151299	3	{n=0}
-109023	偏方	65536	20559	3	{n=0}
-109024	假座	65536	20551	3	{n=0, v=0}
-109025	副品	65536	21103	3	{n=0}
-109026	会庆	65536	20250	3	{n=0}
-109027	干什么	65536	151313	3	{r=0, v=3}
-109028	干休所	65536	151394	3	{j=4}
-109029	免疫	66354	20813	2	{b=1, n=0, v=1, vn=3}
-109030	干儿子	65536	151952	3	{n=0}
-109031	偏旁	65536	20559	3	{n=0}
-109032	声名鹊	65613	130447	1	null
-109033	干净利	75183	152081	1	null
-109034	下药	65536	19979	3	{v=0}
-109035	妖媚	65536	22934	3	{a=0}
-109036	干净利落	65536	109033	3	{i=1}
-109037	干到底	65536	152193	3	{l=0}
-109038	帝位	65536	24093	3	{n=0}
-109039	干劲冲	86217	152323	1	null
-109040	做爱	65536	20570	3	{v=0}
-109041	堪萨	71700	22570	1	null
-109042	干劲冲天	65536	109039	3	{l=0}
-109043	孙子	65536	23385	3	{n=9, nr=2}
-109044	寸头	65536	23544	3	{n=0}
-109045	干国之	86931	153422	1	null
-109046	不来	65538	19981	1	null
-109047	先圣	65536	20808	3	{n=0}
-109048	以攻	66234	20197	1	null
-109049	屠场	65536	23648	3	{n=0}
-109050	化学家	65536	111696	3	{n=0}
-109051	干国之器	65536	109045	3	{i=0}
-109052	干城章	87029	153631	1	null
-109053	刀山	67115	20992	1	null
-109054	干城章嘉	85263	109052	1	null
-109055	干城章嘉峰	65536	109054	3	{ns=0}
-109056	干女儿	65536	154052	3	{n=0}
-109057	夺得	65536	22842	3	{v=47}
-109058	工程化	65536	160347	3	{v=0, vn=1}
-109059	干妹子	65536	154122	3	{n=0}
-109060	姥爷	65536	23013	3	{n=1}
-109061	工农兵	65536	149996	3	{j=1}
-109062	另起	65539	21478	1	null
-109063	唤起	65536	21796	3	{v=8}
-109064	人丁	65536	20154	3	{n=1}
-109065	干巴巴	65536	155205	3	{z=1}
-109066	书报	65541	20070	2	{n=0}
-109067	干干净净	65536	109068	3	{z=7}
-109068	干干净	88139	155331	1	null
-109069	干干脆脆	65536	121170	3	{z=0}
-109070	干性油	65536	155768	3	{n=0}
-109071	干戈四	72860	156249	1	null
-109072	国民经	68443	142320	1	null
-109073	尿床	65536	23615	3	{v=0}
-109074	兵头	65785	20853	1	null
-109075	干戈四起	65536	109071	3	{i=0}
-109076	厚实	67850	21402	2	{a=6, an=0}
-109077	干戈扰攘	65536	112036	3	{i=0}
-109078	干打垒	65536	156324	3	{n=1}
-109079	刮风	65536	21038	3	{v=8}
-109080	干扰素	65536	156353	3	{n=0}
-109081	干支沟	65536	157056	3	{n=2}
-109082	干旱期	65536	157250	3	{t=0}
-109083	干梆梆	65536	157911	3	{z=0}
-109084	干椰枣	65536	158081	3	{n=4}
-109085	人世	65542	20154	2	{n=6}
-109086	干洗店	65536	159080	3	{n=0}
-109087	判若鸿	65542	107202	1	null
-109088	司局	65803	21496	1	null
-109089	宫女	65536	23467	3	{n=0}
-109090	人丛	65536	20154	3	{n=0}
-109091	佛经	65536	20315	3	{n=1}
-109092	实习生	65536	140607	3	{n=1}
-109093	利于	65536	21033	3	{v=23}
-109094	主抓	65536	20027	3	{v=1}
-109095	干活儿	65536	159116	3	{v=0}
-109096	干涉仪	65536	159194	3	{n=0}
-109097	干涉现象	65536	118510	3	{l=0}
-109098	干涧村	65536	159224	3	{ns=0}
-109099	厂址	65536	21378	3	{n=1}
-109100	党小	65612	20826	1	null
-109101	干爷娘	65536	160392	3	{n=0}
-109102	居心叵	79613	116594	1	null
-109103	干电池	65536	161158	3	{n=0}
-109104	展销品	65536	139236	3	{n=0}
-109105	展览品	65536	136364	3	{n=0}
-109106	币制	65536	24065	3	{n=0}
-109107	干瘪瘪	65536	161403	3	{z=0}
-109108	人中	65536	20154	3	{n=1}
-109109	干眼症	65536	161677	3	{n=0}
-109110	关子	65536	20851	3	{n=0}
-109111	干着急	65536	161681	3	{l=1}
-109112	主报	65536	20027	3	{n=1}
-109113	帆张	76231	24070	1	null
-109114	干燥剂	65536	160310	3	{n=0}
-109115	干瞪眼	65536	161787	3	{v=0}
-109116	划清	65536	21010	3	{v=2}
-109117	干细胞	65536	163607	3	{n=0}
-109118	干脆利	75266	164183	1	null
-109119	干脆利落	65536	109118	3	{i=1}
-109120	堂叔	65536	22530	3	{n=0}
-109121	人为	65536	20154	3	{b=8, d=22}
-109122	干血浆	65536	166033	3	{n=0}
-109123	干部科	65536	168249	3	{n=0}
-109124	干酪素	65536	168379	3	{n=0}
-109125	吹奏	65536	21561	3	{v=0, vn=0}
-109126	干酵母	65536	168390	3	{n=0}
-109127	干鲜果	87434	171245	2	{n=0}
-109128	巴拉圭	65536	148264	3	{ns=0}
-109129	兴会	65536	20852	3	{nr=0}
-109130	帽子	65536	24125	3	{n=17}
-109131	干鲜果品	65536	109127	3	{j=1}
-109132	常用对	83005	149185	1	null
-109133	凶横	65536	20982	3	{a=0}
-109134	季朗	77034	23395	1	null
-109135	化入	65536	21270	3	{v=0}
-109136	宁为	74135	23425	1	null
-109137	始料未	81270	110902	1	null
-109138	人之	65543	20154	1	null
-109139	平乐县	65536	151986	3	{ns=0}
-109140	平假名	65536	152489	3	{n=0}
-109141	姑丈	65536	22993	3	{n=0}
-109142	化公	68851	21270	1	null
-109143	劳力	65536	21171	3	{n=13, v=0}
-109144	平乡县	65536	152003	3	{ns=0}
-109145	平光镜	65536	152747	3	{n=0}
-109146	叹赏	65536	21497	3	{v=0}
-109147	平凉市	65536	152875	3	{ns=0}
-109148	四合院	65536	131436	3	{n=1}
-109149	劳务	65563	21171	2	{n=12, v=1}
-109150	平分秋	75761	152936	1	null
-109151	供认	66676	20379	2	{v=4, vn=1}
-109152	小心翼	74140	162251	1	null
-109153	姑且	65536	22993	3	{d=1}
-109154	实物性	65536	149832	3	{n=1}
-109155	平分秋色	65536	109150	3	{i=0}
-109156	劳动	82315	21171	2	{n=0, u=0, v=49, vn=129}
-109157	平利县	65536	152971	3	{ns=0}
-109158	平口钳	65536	153413	3	{n=0}
-109159	哭穷	65536	21741	3	{v=0}
-109160	平和县	65536	153582	3	{ns=1}
-109161	务须	65536	21153	3	{d=0}
-109162	平四舞	65536	154173	3	{nz=0}
-109163	依赖	65573	20381	2	{v=32, vn=9}
-109164	平地楼	87678	154258	1	null
-109165	困惑	65536	22256	3	{a=4, an=0}
-109166	平地楼台	65536	109164	3	{i=0}
-109167	平地风波	65536	121278	3	{i=0}
-109168	平均主义	65536	109409	3	{l=0, n=2}
-109169	上身	65536	19978	3	{n=0, s=0}
-109170	平均利润	65536	110415	3	{l=0}
-109171	功夫	68865	21151	2	{n=22}
-109172	平坝村	65536	154303	3	{ns=0}
-109173	平坦坦	65536	154312	3	{z=0}
-109174	以方	65536	20197	3	{n=19}
-109175	宁乡	82292	23425	2	{ns=0}
-109176	卸车	65536	21368	3	{v=0}
-109177	平型关	65536	154349	3	{ns=1}
-109178	平壤市	65536	154694	3	{ns=0}
-109179	利令	65544	21033	1	null
-109180	平头正	76101	154774	1	null
-109181	平头正脸	65536	109180	3	{i=0}
-109182	平安南	72236	155371	1	null
-109183	平安南道	65536	109182	3	{ns=0}
-109184	平安无事	65536	113927	3	{i=0}
-109185	优选	65543	20248	2	{v=1, vn=0}
-109186	平定县	65536	155388	3	{ns=2}
-109187	平射炮	65536	155494	3	{n=0}
-109188	平展展	65536	155575	3	{z=0}
-109189	平山区	65536	155603	3	{ns=0}
-109190	屈光	83387	23624	1	null
-109191	困惫	65536	22256	3	{a=0}
-109192	供词	65536	20379	3	{n=0}
-109193	夙志	65536	22809	3	{n=0}
-109194	帆影	65536	24070	3	{n=1}
-109195	平川市	65536	155967	3	{ns=0}
-109196	余款	65536	20313	3	{n=0}
-109197	固守	65536	22266	3	{v=2}
-109198	寡头	80429	23521	2	{n=0}
-109199	传情	65536	20256	3	{v=0}
-109200	平常心	65536	156058	3	{n=3}
-109201	屡战	84020	23649	1	null
-109202	人事	65634	20154	2	{n=17}
-109203	崩岸	65536	23849	3	{v=0}
-109204	主持	65821	20027	2	{v=110, vd=0, vn=6}
-109205	平平妥妥	65536	109292	3	{z=0}
-109206	工农分	84769	149996	1	null
-109207	始建	65536	22987	3	{v=3, vn=1}
-109208	人云	66035	20154	1	null
-109209	平平安安	65536	109776	3	{z=1}
-109210	平平当当	65536	110746	3	{z=0}
-109211	平平整整	65536	112315	3	{z=1}
-109212	平平淡淡	65536	114472	3	{z=1}
-109213	平平稳稳	65536	117626	3	{z=0}
-109214	平平静静	65536	125088	3	{z=0}
-109215	固定	72604	22266	2	{a=20, ad=1, n=0, v=9, vd=0, vn=1}
-109216	平度市	65536	156168	3	{ns=1}
-109217	东西	65549	19996	2	{f=8, n=103, s=0}
-109218	平底锅	65536	156151	3	{n=0}
-109219	下萨	65540	19979	1	null
-109220	以旧	65538	20197	1	null
-109221	化冻	65536	21270	3	{v=0}
-109222	屋后	65536	23627	3	{s=4}
-109223	临门	65536	20020	3	{v=0}
-109224	人亡	65539	20154	1	null
-109225	升势	65536	21319	3	{n=0}
-109226	乐迷	65536	20048	3	{n=3}
-109227	佛罗	66366	20315	1	null
-109228	平心而	73461	156453	1	null
-109229	到此	68578	21040	1	null
-109230	剪枝	65536	21098	3	{v=1, vn=1}
-109231	平心而论	65536	109228	3	{i=0}
-109232	常绿植	79689	151704	1	null
-109233	中川	65536	20013	3	{nr=0, nz=0}
-109234	中州	65536	20013	2	{nz=1}
-109235	切实	66734	20999	2	{a=26, ad=132, d=1}
-109236	作协	65536	20316	3	{j=7}
-109237	平心静气	65536	115193	3	{i=0}
-109238	平战时	65536	157050	3	{j=1}
-109239	号子	70152	21495	2	{n=0}
-109240	下落	65701	19979	2	{n=1, v=3}
-109241	壳菜	65536	22771	3	{n=0}
-109242	平方公里	65536	109253	3	{q=34}
-109243	平方英寸	65536	121930	3	{q=0}
-109244	平易近	89093	158069	1	null
-109245	哨所	65536	21736	3	{n=11}
-109246	宗匠	65536	23447	3	{n=0}
-109247	平易近人	65536	109244	3	{i=3}
-109248	岸信	65536	23736	3	{nr=0}
-109249	人人	65543	20154	2	{m=0, n=35, q=0}
-109250	平板仪	65536	158433	3	{n=0}
-109251	平果县	65536	158462	3	{ns=0}
-109252	垂危	65536	22402	3	{z=1}
-109253	平方公	71918	157979	1	null
-109254	平步登	86430	159431	1	null
-109255	平步登天	65536	109254	3	{i=0}
-109256	中巴	65538	20013	2	{j=0, n=3}
-109257	平步青云	65536	117661	3	{i=0}
-109258	保国	66705	20445	1	null
-109259	减声	65957	20943	1	null
-109260	平民化	65536	159603	3	{v=0}
-109261	吴营	65536	21556	3	{ns=2}
-109262	妖孽	65536	22934	3	{n=0}
-109263	医德	65536	21307	3	{n=3}
-109264	将功	70463	23558	1	null
-109265	平江县	65536	159681	3	{ns=0}
-109266	奸党	65536	22904	3	{n=0}
-109267	宫娥	65536	23467	3	{n=0}
-109268	平津战	84828	159879	1	null
-109269	平津战役	65536	109268	3	{nz=2}
-109270	平淡无	86416	160067	1	null
-109271	平淡无奇	65536	109270	3	{i=0}
-109272	卷入	65536	21367	3	{v=3}
-109273	平滑肌	65536	160307	3	{n=0}
-109274	夙怨	65536	22809	3	{n=0}
-109275	平潭县	65536	160463	3	{ns=0}
-109276	中师	65536	20013	3	{j=0}
-109277	平畴沃	71952	162006	1	null
-109278	平畴沃野	65536	109277	3	{i=1}
-109279	平白无	83355	162271	1	null
-109280	平白无故	65536	109279	3	{i=0}
-109281	寡妇	65536	23521	3	{n=1}
-109282	席位	82958	24109	2	{n=24}
-109283	平等互	88251	163499	1	null
-109284	平等互利	65536	109283	3	{l=11}
-109285	义项	65536	20041	3	{n=0}
-109286	小个子	65536	157746	3	{n=0}
-109287	下葬	65536	19979	3	{v=0}
-109288	安乐窝	65536	146316	3	{n=1}
-109289	传感	65540	20256	1	null
-109290	人代	65921	20154	1	null
-109291	居民委	65536	119744	3	{j=0}
-109292	平平妥	86256	156117	1	null
-109293	体式	65536	20307	3	{n=1}
-109294	墙子	65536	22681	3	{nz=0}
-109295	休闲	65679	20241	2	{v=6, vn=9}
-109296	平绥路	65536	164423	3	{ns=0}
-109297	平舆县	65536	165224	3	{ns=0}
-109298	平英团	65536	165459	3	{n=0}
-109299	人们	65536	20154	3	{k=1, n=582, r=0}
-109300	临阵	65538	20020	1	null
-109301	平行作	89308	166830	1	null
-109302	平行作业	65536	109301	3	{l=0}
-109303	人仰	65541	20154	1	null
-109304	卷内	65536	21367	3	{s=1}
-109305	平衡木	65536	166851	3	{n=0}
-109306	平装本	65536	166951	3	{n=0}
-109307	司法部	65833	113333	2	{n=1, nt=10}
-109308	停放	65536	20572	3	{v=6, vn=0}
-109309	交易	66003	20132	2	{n=82, v=23, vn=69}
-109310	姨太	80011	23016	1	null
-109311	姨夫	65536	23016	3	{n=0}
-109312	平谷县	65536	167833	3	{ns=0}
-109313	哭笑	74754	21741	1	null
-109314	克敌	66435	20811	1	null
-109315	属区	65536	23646	3	{n=3}
-109316	合唱队	65536	128582	3	{n=2}
-109317	平起平	86966	168153	1	null
-109318	平起平坐	65536	109317	3	{i=0}
-109319	平遥县	65536	168903	3	{ns=2}
-109320	卷舌音	65536	121727	3	{n=0}
-109321	平邑县	65536	168947	3	{ns=0}
-109322	平山县	65536	155603	3	{ns=3}
-109323	平铺直	87861	170076	1	null
-109324	中常	65681	20013	1	null
-109325	工业化	65536	149098	3	{n=0, v=2, vd=0, vn=11}
-109326	平铺直叙	65536	109323	3	{i=0}
-109327	减头	66643	20943	1	null
-109328	割裂	65536	21106	3	{v=2, vn=0}
-109329	商务部	65536	128349	3	{n=0}
-109330	平阳县	65536	170389	3	{ns=0}
-109331	国际性	65536	153124	3	{n=6}
-109332	平面几何	65536	109346	3	{n=0}
-109333	平顶山	85270	170968	2	{ns=7}
-109334	卧舱	65536	21351	3	{n=0}
-109335	平衡杆	65536	166851	3	{n=2}
-109336	平顶山市	65536	109333	3	{ns=3}
-109337	会徽	65536	20250	3	{n=3}
-109338	八带	65540	20843	1	null
-109339	宾客	65536	23486	3	{n=5}
-109340	宇航服	65536	115388	3	{n=0}
-109341	兴修	65536	20852	3	{v=8, vn=0}
-109342	力度	65536	21147	3	{n=225}
-109343	会心	65536	20250	3	{a=0, b=0, d=0, n=0}
-109344	余毒	65536	20313	3	{n=0}
-109345	平顺县	65536	170972	3	{ns=0}
-109346	平面几	89023	170692	1	null
-109347	平鲁区	65536	172003	3	{ns=0}
-109348	年久失	88888	148768	1	null
-109349	凡间	65536	20961	3	{s=4}
-109350	年久失修	65536	109348	3	{l=3}
-109351	年久月深	65536	112891	3	{i=0}
-109352	中幔	65536	20013	3	{n=1}
-109353	切尔	65599	20999	1	null
-109354	天然港	65536	157254	3	{n=0}
-109355	年事已	69722	148838	1	null
-109356	上车	65536	19978	3	{v=13, vn=1}
-109357	人伦	65536	20154	3	{n=1}
-109358	上轨	65542	19978	1	null
-109359	屯垦	65536	23663	3	{v=0}
-109360	妄念	65536	22916	3	{n=0}
-109361	工业区	65536	149098	3	{n=0}
-109362	年事已高	65536	109355	3	{l=2}
-109363	年代久	72538	148926	1	null
-109364	咏赞	65536	21647	3	{v=0}
-109365	中幡	65536	20013	3	{n=0}
-109366	年代久远	65536	109363	3	{l=1}
-109367	保坪	66706	20445	1	null
-109368	升华	65536	21319	3	{nz=0, v=4, vn=2}
-109369	启明	67958	21551	2	{n=0, nz=0}
-109370	主控	65536	20027	3	{n=0, v=0, vn=1}
-109371	州府	65536	24030	3	{n=2}
-109372	年利率	65536	149764	3	{n=3}
-109373	年产值	65536	148866	3	{n=21}
-109374	倒彩	65536	20498	3	{n=0}
-109375	年历片	65536	150113	3	{n=1}
-109376	体形	65536	20307	3	{n=0}
-109377	年发电	72051	150188	1	null
-109378	年发电量	65536	109377	3	{n=1}
-109379	射孔	65536	23556	3	{n=0}
-109380	年均值	65536	151074	3	{n=0}
-109381	年增长	79808	151417	1	null
-109382	倒影	65536	20498	3	{n=3}
-109383	年增长率	65536	109381	3	{n=2}
-109384	中年	65778	20013	2	{b=0, t=21}
-109385	作古	65536	20316	3	{v=0}
-109386	姨奶	79936	23016	1	null
-109387	年复一	85208	151528	1	null
-109388	年复一年	65536	109387	3	{l=4}
-109389	年夜饭	65536	151543	3	{n=9}
-109390	上辈	65549	19978	2	{n=0}
-109391	年富力	85014	152231	1	null
-109392	年富力强	65536	109391	3	{i=2}
-109393	堂哥	75953	22530	1	null
-109394	刺头	65536	21050	3	{n=0}
-109395	奉公	77694	22857	1	null
-109396	年年岁岁	65536	109401	3	{n=1}
-109397	年年月月	65536	112096	3	{n=1}
-109398	友爱	65819	21451	2	{a=0, n=0, v=2, vn=0}
-109399	关山	65574	20851	2	{n=1, ns=1}
-109400	养料	65536	20859	3	{n=0}
-109401	年年岁	85715	152911	1	null
-109402	人体	65536	20154	3	{n=22}
-109403	元戎	65536	20803	3	{n=0}
-109404	姨妈	65536	23016	3	{n=1}
-109405	年成交	70337	153835	1	null
-109406	年成交额	65536	109405	3	{n=1}
-109407	局促	87529	23616	2	{a=2, ad=0}
-109408	假性	65536	20551	3	{b=0}
-109409	平均主	89127	154281	1	null
-109410	奉养	65536	22857	3	{v=1}
-109411	年收入	65536	154641	3	{n=16}
-109412	宗主权	65536	107993	3	{n=0}
-109413	工具包	65536	149959	3	{n=0}
-109414	年根儿	65536	155412	3	{n=1}
-109415	八平	65539	20843	1	null
-109416	幕僚	65536	24149	3	{n=0}
-109417	年楚河	65536	155701	3	{ns=0}
-109418	年深日	89382	156876	1	null
-109419	年深日久	65536	109418	3	{i=0}
-109420	年深月久	65536	109709	3	{i=0}
-109421	年租金	65536	159930	3	{n=1}
-109422	年终奖	65536	161187	3	{n=0}
-109423	年老体弱	65536	109430	3	{l=1}
-109424	只得	65536	21482	3	{d=6}
-109425	以暴	65540	20197	1	null
-109426	冲子	65536	20914	3	{n=0}
-109427	年老多病	65536	111933	3	{i=0}
-109428	师范学	82195	143458	1	null
-109429	升压	65536	21319	3	{v=1}
-109430	年老体	85054	161500	1	null
-109431	小本经	73126	164148	1	null
-109432	制件	65536	21046	3	{n=0}
-109433	夫权	65536	22827	3	{n=0}
-109434	中度	65536	20013	3	{b=0}
-109435	年轻力壮	65536	110440	3	{i=1}
-109436	市场准	87790	137730	1	null
-109437	年轻有为	65536	115670	3	{l=1}
-109438	年轻气盛	65536	116961	3	{l=0}
-109439	上边	65536	19978	3	{f=6, n=0}
-109440	年过半	79109	165538	1	null
-109441	关岛	65536	20851	3	{n=0}
-109442	倾销	65536	20542	3	{v=4, vn=0}
-109443	年过半百	65536	109440	3	{l=0}
-109444	上达	65536	19978	3	{v=0}
-109445	克族	65536	20811	3	{nz=0}
-109446	年过花甲	65536	121575	3	{l=1}
-109447	年轻人	65536	165462	3	{n=40}
-109448	体循	65539	20307	1	null
-109449	年迈体	85082	165539	1	null
-109450	巴尔扎	87652	146547	1	null
-109451	年迈体弱	65536	109449	3	{l=0}
-109452	中庸	65890	20013	2	{n=0}
-109453	刀币	65536	20992	3	{n=0}
-109454	年近花	79453	165548	1	null
-109455	年近花甲	65536	109454	3	{l=1}
-109456	年逾古稀	65536	109458	3	{l=1}
-109457	制伏	65536	21046	3	{v=0}
-109458	年逾古	78224	165657	1	null
-109459	年逾花甲	65536	121439	3	{l=1}
-109460	年长者	65536	167002	3	{n=1}
-109461	堆砌	65536	22534	3	{v=1}
-109462	年青人	65536	167469	3	{n=0}
-109463	年高德	88300	168371	1	null
-109464	向往	65536	21521	3	{v=9, vn=2}
-109465	年高德劭	65536	109463	3	{i=1}
-109466	八度	65536	20843	3	{n=0}
-109467	币原	65536	24065	3	{nr=0}
-109468	年龄段	65536	169567	3	{n=0}
-109469	唱头	65536	21809	3	{n=0}
-109470	姨姊	79877	23016	1	null
-109471	唐朝	65536	21776	3	{t=1}
-109472	三长	65662	19977	1	null
-109473	上进	65545	19978	2	{a=1, an=0, v=1}
-109474	圪节	65536	22314	3	{n=0}
-109475	并列句	65536	132529	3	{n=0}
-109476	冬常	65815	20908	1	null
-109477	并发症	65536	132971	3	{n=4}
-109478	坏疽	65536	22351	3	{n=0}
-109479	宣传册	65536	117520	3	{n=0}
-109480	并日而	70348	137599	1	null
-109481	叫屈	65536	21483	3	{v=0}
-109482	判词	65536	21028	3	{n=0}
-109483	并日而食	65536	109480	3	{i=0}
-109484	劳动模	65537	109156	1	null
-109485	并条机	65536	137979	3	{n=0}
-109486	凶残	65536	20982	3	{a=0}
-109487	书摊	65536	20070	3	{n=1}
-109488	并纱机	65536	143947	3	{n=0}
-109489	崖城	65536	23830	3	{ns=0}
-109490	并网发	79486	144107	1	null
-109491	并网发电	65536	109490	3	{l=1}
-109492	并肩作	84381	144451	1	null
-109493	并肩作战	65536	109492	3	{l=1}
-109494	上述	65536	19978	3	{b=104, r=0, v=0, vn=4}
-109495	并蒂莲	65536	145436	3	{n=0}
-109496	并行不悖	65536	109522	3	{i=0}
-109497	姨姥	79834	23016	1	null
-109498	作呕	65536	20316	3	{v=0}
-109499	并行接口	65536	115050	3	{n=0}
-109500	市场分	82116	137730	1	null
-109501	并非如	82012	150264	1	null
-109502	健身	65578	20581	2	{v=17, vn=29}
-109503	并购案	65536	147655	3	{n=1}
-109504	并非如此	65536	109501	3	{l=2}
-109505	并非易事	65536	112718	3	{l=5}
-109506	并驾齐	69972	151064	1	null
-109507	坑害	65536	22353	3	{v=3, vn=0}
-109508	先声	65648	20808	2	{n=1}
-109509	并驾齐驱	65536	109506	3	{i=4}
-109510	临震	65536	20020	3	{vn=7}
-109511	八廓	65547	20843	1	null
-109512	幸存者	65536	113312	3	{n=3}
-109513	幸灾乐	78418	118726	1	null
-109514	幸灾乐祸	65536	109513	3	{i=0}
-109515	劝退	65536	21149	3	{v=0}
-109516	幸福乡	65536	121047	3	{ns=0}
-109517	幸运儿	65536	126744	3	{n=0}
-109518	中建	65536	20013	3	{j=0}
-109519	密密实	82607	133150	1	null
-109520	幻想国	65536	115315	3	{n=1}
-109521	品位	65536	21697	3	{n=23}
-109522	并行不	84770	146406	1	null
-109523	凉气	65536	20937	3	{n=0}
-109524	幻觉症	65536	125769	3	{n=0}
-109525	克星	65536	20811	3	{n=1}
-109526	幻灯机	65536	119279	3	{n=0}
-109527	幼儿教育	65536	113279	3	{l=0}
-109528	乌金	65536	20044	3	{n=0}
-109529	岛国	65536	23707	3	{n=1}
-109530	塑料盆	65536	104727	3	{n=0}
-109531	向心	72842	21521	2	{b=0}
-109532	以期	65536	20197	3	{d=1, v=10}
-109533	巴士拉	65536	145738	3	{ns=0}
-109534	制作	67229	21046	2	{v=40, vn=16}
-109535	体态	65536	20307	3	{n=2}
-109536	幼林地	65536	119651	3	{n=0}
-109537	幽幽咽	87848	131085	1	null
-109538	供货	65536	20379	3	{v=3, vn=5}
-109539	中式	65536	20013	2	{b=1}
-109540	幼稚园	65536	124390	3	{n=0}
-109541	幽幽咽咽	65536	109537	3	{z=0}
-109542	兼毫	65536	20860	3	{n=0}
-109543	幽默感	65536	147560	3	{n=1}
-109544	呼之欲跃	65536	94238	3	{i=1}
-109545	交替	65536	20132	3	{d=2, v=5, vn=0}
-109546	屠夫	65536	23648	3	{n=1}
-109547	广东戏	65536	143884	3	{n=0}
-109548	姨娘	65536	23016	3	{n=0}
-109549	侧身	65536	20391	3	{v=1, vn=0}
-109550	只怕	65536	21482	3	{d=2, v=0}
-109551	嘉士	75135	22025	1	null
-109552	尉官	65536	23561	3	{n=3}
-109553	夙愿	65536	22809	3	{n=1}
-109554	广东音乐	65536	123343	3	{l=0}
-109555	凉水	65556	20937	2	{n=0}
-109556	卖主	65536	21334	3	{n=3}
-109557	交朋	65656	20132	1	null
-109558	广交会	65536	144020	3	{j=2}
-109559	卤质	65536	21348	3	{n=0}
-109560	嗅觉	65536	21957	3	{n=0}
-109561	广元市	65536	144691	3	{ns=7}
-109562	广合顺	65536	145400	3	{nz=3}
-109563	广土众	81899	146191	1	null
-109564	广土众民	65536	109563	3	{i=0}
-109565	先天	67519	20808	2	{n=2}
-109566	广域网	65536	146383	3	{n=0}
-109567	布拉图	73534	142881	1	null
-109568	以权	65539	20197	1	null
-109569	天然漆	65536	157254	3	{n=0}
-109570	党工	65547	20826	1	null
-109571	广学博	72253	147286	1	null
-109572	广学博采	65536	109571	3	{i=1}
-109573	体性	65536	20307	3	{n=0}
-109574	广宁省	65536	147313	3	{ns=3}
-109575	崇奉	65536	23815	3	{v=0}
-109576	先头	65536	20808	3	{b=0, f=0}
-109577	三门	65537	19977	2	{ns=1}
-109578	广州起义	65536	121745	3	{nz=2}
-109579	广安县	65536	147321	3	{ns=0}
-109580	困扰	65536	22256	3	{v=24, vn=13}
-109581	中弹	65536	20013	3	{v=1}
-109582	广开才	73249	148208	1	null
-109583	卖乖	65536	21334	3	{v=0}
-109584	广开才路	65536	109582	3	{i=0}
-109585	和合雅	73949	117704	1	null
-109586	广开言路	65536	119745	3	{i=0}
-109587	幼儿园	65536	113931	3	{n=9}
-109588	广开门路	65536	122793	3	{l=0}
-109589	广征博	72271	148337	1	null
-109590	广征博采	65536	109589	3	{i=0}
-109591	奔命	65536	22868	3	{v=0}
-109592	小肚子	65536	170658	3	{n=0}
-109593	体总	65536	20307	3	{j=1}
-109594	姨婆	65536	23016	3	{n=0}
-109595	帘布	65536	24088	3	{n=0}
-109596	广州市	65536	147918	3	{ns=10}
-109597	平均价	65536	154281	3	{n=3}
-109598	广播体操	65536	109728	3	{n=1}
-109599	三闾	65545	19977	1	null
-109600	广播电影	79600	119426	1	null
-109601	属员	65536	23646	3	{n=0}
-109602	以来	65536	20197	3	{f=448}
-109603	呵责	65536	21621	3	{v=0}
-109604	宴席	65536	23476	3	{n=2}
-109605	广播电影电	74337	109600	1	null
-109606	作品	65544	20316	2	{n=289}
-109607	广播电影电视	72514	109605	1	null
-109608	妨碍	65536	22952	3	{v=16, vn=0}
-109609	化学工	68891	111696	1	null
-109610	广播电影电视部	65536	109607	3	{n=0}
-109611	千古风	65540	115982	1	null
-109612	假想	65539	20551	2	{b=1, v=0}
-109613	亚行	65536	20122	3	{j=0}
-109614	妄想	65536	22916	3	{v=0, vn=0}
-109615	从此	66028	20174	2	{c=0, d=42}
-109616	余波	65672	20313	2	{n=2}
-109617	广水市	65536	151588	3	{ns=0}
-109618	作响	65536	20316	3	{v=2}
-109619	假惺	65536	20551	1	null
-109620	广汉市	65536	151609	3	{ns=4}
-109621	广泛性	65536	151755	3	{n=4}
-109622	传扬	65536	20256	3	{v=0, vn=0}
-109623	凶气	65536	20982	3	{n=0}
-109624	广渠门	65536	152080	3	{ns=0}
-109625	广种薄	83716	155069	1	null
-109626	广种薄收	65536	109625	3	{l=0}
-109627	广而告	89585	156668	1	null
-109628	广而告之	65536	109627	3	{l=1}
-109629	中彩	65536	20013	3	{v=0}
-109630	参议院	65536	127367	3	{n=9}
-109631	布雷器	65536	156239	3	{n=0}
-109632	出口额	65536	122637	3	{n=11}
-109633	孕情	65536	23381	3	{n=1}
-109634	体恤	65539	20307	2	{v=0}
-109635	商品税	65536	128893	3	{n=0}
-109636	兵学	65536	20853	3	{n=3}
-109637	中影	65536	20013	3	{j=1}
-109638	广袤无	71182	158868	1	null
-109639	叫苦连	69967	119367	1	null
-109640	假意	65536	20551	3	{n=0}
-109641	传承	65536	20256	3	{v=2, vn=0}
-109642	博城	65536	21338	3	{ns=0}
-109643	安家费	65536	149746	3	{n=0}
-109644	实际工	69424	159012	1	null
-109645	区情	65536	21306	3	{n=0}
-109646	传抄	65536	20256	3	{v=0}
-109647	富国强	85267	126671	1	null
-109648	广电厅	65536	153893	3	{j=1}
-109649	叶块	65540	21494	1	null
-109650	宫室	65536	23467	3	{n=0}
-109651	广袤无际	65536	109638	3	{i=0}
-109652	广西省	65536	159087	3	{ns=0}
-109653	凑集	65536	20945	3	{v=0}
-109654	对立统	86489	155910	1	null
-109655	广角镜	86820	159170	1	null
-109656	广角镜头	65536	109655	3	{n=0}
-109657	交杯	65537	20132	1	null
-109658	嘉奖	75215	22025	2	{v=2, vn=4}
-109659	低平	65536	20302	3	{a=0}
-109660	低年	65629	20302	1	null
-109661	广谋从	89422	159739	1	null
-109662	墓志	65539	22675	2	{n=1}
-109663	保墒	65536	20445	3	{v=0, vn=0}
-109664	刻画	65536	21051	3	{v=6, vn=3}
-109665	信士	65536	20449	3	{n=0}
-109666	净资	67924	20928	1	null
-109667	尚方宝	86213	114763	1	null
-109668	低幼	65536	20302	3	{b=4, j=0}
-109669	广谋从众	65536	109661	3	{l=0}
-109670	广通站	65536	160778	3	{ns=0}
-109671	帐幕	65536	24080	3	{n=0}
-109672	大杂院	65536	154844	3	{n=0}
-109673	广阔无	87244	162308	1	null
-109674	再者	65588	20877	2	{c=2}
-109675	会意	65536	20250	3	{v=1}
-109676	广阔无垠	65536	109673	3	{l=1}
-109677	岗区	65536	23703	3	{s=1}
-109678	广告业	65536	145466	3	{n=2}
-109679	广饶县	65536	163174	3	{ns=1}
-109680	庄园主	65536	112123	3	{n=2}
-109681	再而	67776	20877	1	null
-109682	庄户人	65536	115013	3	{n=0}
-109683	密密层	82445	133150	1	null
-109684	妙句	65536	22937	3	{n=0}
-109685	午觉	65536	21320	3	{n=0}
-109686	崖墓	65536	23830	3	{n=0}
-109687	先妣	65536	20808	3	{n=0}
-109688	净赚	65536	20928	3	{v=2}
-109689	傻话	65536	20667	3	{n=0}
-109690	唯心	74964	21807	2	{b=0}
-109691	庄河市	65536	117697	3	{ns=4}
-109692	卫生学	65536	104874	3	{n=0}
-109693	体悟	65536	20307	3	{v=1}
-109694	庄浪县	65536	117880	3	{ns=0}
-109695	喉结	65536	21897	3	{n=0}
-109696	庄禾集	83253	121036	1	null
-109697	倒悬	65536	20498	3	{v=0}
-109698	哲蚌	71195	21746	1	null
-109699	二等	65574	20108	2	{b=4}
-109700	奉劝	65536	22857	3	{v=0}
-109701	圆锥花	72340	140042	1	null
-109702	庄禾集村	65536	109696	3	{ns=0}
-109703	巫医	65536	24043	3	{n=0}
-109704	庄稼人	65536	121162	3	{n=3}
-109705	庄稼活儿	65536	117513	3	{l=0}
-109706	岗南	87876	23703	2	{ns=0}
-109707	三陪	65536	19977	3	{j=5}
-109708	庆回归	65536	115290	3	{v=1}
-109709	年深月	89383	156876	1	null
-109710	低度	65536	20302	3	{b=0}
-109711	广告主	65536	145466	3	{n=0}
-109712	庆大霉	77683	115875	1	null
-109713	以柔	65695	20197	1	null
-109714	庆功宴	65536	114203	3	{n=0}
-109715	庆大霉素	65536	109712	3	{n=0}
-109716	兵家	65536	20853	3	{n=1}
-109717	国家所	69985	138133	1	null
-109718	庆安县	65536	116485	3	{ns=0}
-109719	中心	65623	20013	2	{f=0, n=414, nz=0}
-109720	另选	65536	21478	3	{v=0}
-109721	庆祝会	65536	124121	3	{n=3}
-109722	庆贺寺	89659	129206	1	null
-109723	币望塔	65536	114455	3	{n=0}
-109724	庆贺寺乡	65536	109722	3	{ns=0}
-109725	庇佑	65536	24199	3	{v=0}
-109726	孝幔	65536	23389	3	{n=0}
-109727	信天	65544	20449	1	null
-109728	广播体	83793	149661	1	null
-109729	充足	65536	20805	3	{a=30, ad=0}
-109730	床笫之	74406	121262	1	null
-109731	帷幄	65536	24119	3	{n=0}
-109732	崖壁	78044	23830	2	{n=1}
-109733	床头柜	65536	112567	3	{n=0}
-109734	床笫之言	65536	109730	3	{i=0}
-109735	庇护所	65536	114672	3	{n=2}
-109736	床边柜	65536	126524	3	{n=0}
-109737	寨子	65536	23528	3	{n=1}
-109738	嬉笑	78662	23305	2	{v=0, vn=0}
-109739	序时账	65536	117297	3	{n=0}
-109740	庐山	65536	24208	3	{ns=1}
-109741	即或	65536	21363	3	{c=0}
-109742	上部	65536	19978	3	{f=0}
-109743	庐江县	65536	113818	3	{ns=1}
-109744	卖价	65536	21334	3	{n=1}
-109745	低廉	65536	20302	3	{a=8}
-109746	宇宙火	72863	105515	1	null
-109747	帷幔	65536	24119	3	{n=0}
-109748	帷幕	65536	24119	3	{n=19}
-109749	亚裔	65536	20122	3	{n=1}
-109750	尝新	65536	23581	3	{v=0}
-109751	库仑定律	65536	109753	3	{n=0}
-109752	工业品	65536	149098	3	{n=5}
-109753	库仑定	85292	117761	1	null
-109754	卫生室	65536	104874	3	{n=0}
-109755	五指	65556	20116	2	{n=0}
-109756	凭证	65565	20973	2	{n=8, v=0}
-109757	库克群	86055	118395	1	null
-109758	嫩江	65536	23273	3	{ns=4}
-109759	信奉	65536	20449	3	{v=9}
-109760	寝室	65536	23517	3	{n=0}
-109761	地下茎	65536	136298	3	{n=0}
-109762	库克群岛	65536	109757	3	{n=0}
-109763	克服	65536	20811	3	{v=91, vn=4}
-109764	库命令	65536	119213	3	{n=0}
-109765	库图佐	86941	119854	1	null
-109766	喝茶	65536	21917	3	{v=2}
-109767	别开	65627	21035	1	null
-109768	库图佐夫	65536	109765	3	{ns=0}
-109769	制假	65536	21046	3	{v=1, vn=0}
-109770	库存值	65536	120968	3	{n=0}
-109771	兴农	65536	20852	3	{v=0}
-109772	市场化	65536	137730	3	{v=11, vn=8}
-109773	克朗	65536	20811	3	{n=1, nr=0, q=1}
-109774	主攻	65546	20027	2	{n=1, v=1, vn=8}
-109775	库尔勒	85720	121156	2	{ns=0}
-109776	平平安	85776	156117	1	null
-109777	发行部	65536	143012	3	{n=1}
-109778	主政	65536	20027	3	{v=1}
-109779	依达	66598	20381	1	null
-109780	几近	65536	20960	3	{d=6, v=0}
-109781	国家技	69948	138133	1	null
-109782	人像	65536	20154	3	{n=4}
-109783	帝制	65536	24093	3	{n=2}
-109784	义马	65536	20041	3	{ns=0}
-109785	千里香	65536	131830	3	{n=0}
-109786	库尔勒市	65536	109775	3	{ns=0}
-109787	库布其	65536	121651	3	{ns=0}
-109788	屈原	86127	23624	2	{n=0, nr=1}
-109789	保护金	65536	112241	3	{n=0}
-109790	做生	65644	20570	1	null
-109791	垦荒	65536	22438	3	{v=2, vn=0}
-109792	库涅茨	88983	125621	1	null
-109793	兴冲	66739	20852	1	null
-109794	库涅茨克	65536	109792	3	{n=0}
-109795	库里村	65536	134908	3	{ns=0}
-109796	凉津	65536	20937	1	null
-109797	咬紧	65637	21676	1	null
-109798	劈胸	65536	21128	3	{d=0}
-109799	应变力	65536	138277	3	{n=0}
-109800	察微	75639	23519	1	null
-109801	信女	65536	20449	3	{n=0}
-109802	应城市	65536	139291	3	{ns=0}
-109803	应声虫	65536	139581	3	{n=0}
-109804	主教	65567	20027	2	{n=1}
-109805	基本粒	74292	131753	1	null
-109806	应急款	65536	141426	3	{n=1}
-109807	应战书	65536	141925	3	{n=0}
-109808	书斋	65536	20070	3	{n=0}
-109809	应接不	83564	142322	1	null
-109810	化合	68668	21270	2	{v=0, vn=0}
-109811	应接不暇	65536	109809	3	{i=3}
-109812	埃拉	68224	22467	1	null
-109813	应时而	88350	142915	1	null
-109814	应时而变	65536	109813	3	{i=0}
-109815	化名	65536	21270	3	{n=0, v=1}
-109816	停机	65595	20572	2	{v=3}
-109817	应景诗	65536	143036	3	{n=0}
-109818	刻痕	65536	21051	3	{n=0}
-109819	中性	65539	20013	2	{b=0, n=4}
-109820	应有尽	83445	143190	1	null
-109821	奉化	77068	22857	2	{ns=1}
-109822	应有尽有	65536	109820	3	{i=4}
-109823	孔雀石	65536	120971	3	{n=0}
-109824	应用科学	65536	118607	3	{l=1}
-109825	应税面	65536	148059	3	{n=1}
-109826	应答器	65536	148385	3	{n=0}
-109827	关帝	65599	20851	1	null
-109828	应运而	79846	153629	1	null
-109829	应运而生	65536	109828	3	{i=4}
-109830	剧烈	65536	21095	3	{a=6, ad=3, an=1}
-109831	唯恐	65536	21807	3	{v=1}
-109832	姊妹饭	65536	102978	3	{n=0}
-109833	应用型	65536	146805	3	{b=1, n=0}
-109834	叙述	72326	21465	2	{v=4, vn=2}
-109835	应选人	65536	153686	3	{n=0}
-109836	剩饭	65536	21097	3	{n=0}
-109837	匪首	65536	21290	3	{n=0}
-109838	宗派性	65536	115932	3	{n=0}
-109839	应酬话	65536	154041	3	{n=0}
-109840	刚烈	65536	21018	3	{a=1}
-109841	底栖生	80554	134840	1	null
-109842	小伙子	65536	157985	3	{n=30}
-109843	底栖生物	65536	109841	3	{l=0}
-109844	底片夹	65536	137449	3	{n=0}
-109845	店小二	65536	114689	3	{n=0}
-109846	市场占	82259	137730	1	null
-109847	党建	65536	20826	3	{j=22}
-109848	店张镇	65536	115474	3	{ns=0}
-109849	店面间	65536	129876	3	{n=1}
-109850	主文	65536	20027	3	{n=0}
-109851	庙滩镇	65536	118077	3	{ns=2}
-109852	厚度	65536	21402	3	{n=3}
-109853	劝酒	65536	21149	3	{v=0}
-109854	县上	65536	21439	3	{n=0}
-109855	府南河	65536	111290	3	{ns=5}
-109856	帽带	65536	24125	3	{n=0}
-109857	局内	65536	23616	3	{n=0}
-109858	合成酶	65536	131877	3	{n=0}
-109859	岗台	65536	23703	3	{n=5}
-109860	常备军	65536	141984	3	{n=2}
-109861	占用	65536	21344	3	{v=9, vn=2}
-109862	劈脸	65536	21128	3	{d=0}
-109863	孙庄	65536	23385	3	{ns=0}
-109864	平底鞋	65536	156151	3	{n=0}
-109865	堕胎	65536	22549	3	{v=0, vn=0}
-109866	从江	65536	20174	3	{ns=1}
-109867	岳北	65536	23731	3	{j=1, ns=0}
-109868	庞然大	80581	116030	1	null
-109869	云遮	65538	20113	1	null
-109870	庞然大物	65536	109868	3	{i=3}
-109871	庞大	65536	24222	3	{a=21, an=0}
-109872	庞贝城	65536	123173	3	{ns=0}
-109873	废品率	65536	131460	3	{n=0}
-109874	岔子	65536	23700	3	{n=0}
-109875	庄严	65536	24196	3	{a=15, ad=4, an=1}
-109876	岂因	76812	23682	1	null
-109877	废塑料	65536	132372	3	{n=0}
-109878	奖学	65639	22870	1	null
-109879	凉浸	65549	20937	1	null
-109880	受灾面	65536	129596	3	{n=0}
-109881	废寝忘	70747	133280	1	null
-109882	废寝忘食	65536	109881	3	{i=2}
-109883	废弃地	65536	134086	3	{n=1}
-109884	帝力	65536	24093	3	{n=0}
-109885	废碎料	65536	140625	3	{n=0}
-109886	和平街	65536	120371	3	{ns=0}
-109887	废耕地	65536	142552	3	{n=0}
-109888	度假村	65536	109889	3	{n=0}
-109889	度假	83439	24230	2	{v=2, vn=2}
-109890	史志	65536	21490	3	{n=0}
-109891	度德量	88746	113841	1	null
-109892	卷发	68377	21367	2	{n=0, vn=1}
-109893	度德量力	65536	109891	3	{l=0}
-109894	下蛋	65536	19979	3	{v=0}
-109895	度日如	85718	115423	1	null
-109896	假戏	65539	20551	1	null
-109897	帅印	65536	24069	3	{n=0}
-109898	度日如年	65536	109895	3	{i=0}
-109899	含山	72616	21547	1	null
-109900	度量衡	65536	126665	3	{n=0}
-109901	克林	65542	20811	1	null
-109902	创建	68114	21019	2	{v=49, vd=0, vn=36}
-109903	任选	65536	20219	3	{v=0, vn=0}
-109904	妙品	65536	22937	3	{n=0}
-109905	座位表	65536	114201	3	{n=0}
-109906	传授	65536	20256	3	{v=12, vn=1}
-109907	化学式	65536	111696	3	{n=0}
-109908	座上客	65536	113878	3	{n=2}
-109909	座右铭	65536	115391	3	{n=3}
-109910	卫生局	65536	104874	3	{n=10}
-109911	宾州	65536	23486	3	{n=0}
-109912	兴利	65550	20852	1	null
-109913	座无虚	85805	119980	1	null
-109914	座无虚席	65536	109913	3	{i=5}
-109915	座谈会	65536	129748	3	{n=88}
-109916	小型张	65536	160147	3	{n=1}
-109917	山东梆	84344	149475	1	null
-109918	主旋	65544	20027	1	null
-109919	奥地	80200	22885	1	null
-109920	康乃馨	65536	124803	3	{n=0}
-109921	二簧	65536	20108	3	{n=0}
-109922	平均值	65536	154281	3	{n=5}
-109923	后视镜	65536	145903	3	{n=0}
-109924	届满	65536	23626	3	{v=5, vn=1}
-109925	康乐球	65536	124816	3	{n=0}
-109926	助战	65536	21161	3	{v=0}
-109927	博士	69495	21338	2	{n=32}
-109928	庭园	65536	24237	3	{n=0}
-109929	卷叶	65539	21367	1	null
-109930	四脚蛇	65536	142974	3	{n=0}
-109931	岳南	86655	23731	2	{j=4, ns=1}
-109932	从没	65536	20174	3	{d=3}
-109933	府上	65536	24220	3	{n=0}
-109934	庙会	65536	24217	3	{n=15}
-109935	尊夫	86528	23562	1	null
-109936	座上宾	65536	113878	3	{n=0}
-109937	康师傅	65536	128840	3	{nz=2}
-109938	司徒	65536	21496	3	{nr=0}
-109939	三青	65538	19977	1	null
-109940	会战	65536	20250	3	{n=0, v=2, vn=5}
-109941	县乡	65589	21439	1	null
-109942	各行其道	65536	93118	3	{l=1}
-109943	哆里	72908	21702	1	null
-109944	堆积	77412	22534	2	{v=0, vn=1}
-109945	多晶硅	65536	146929	3	{n=0}
-109946	庶人	65536	24246	3	{n=0}
-109947	主旨	65536	20027	3	{n=3}
-109948	康庄大	73010	128964	1	null
-109949	危急	66550	21361	2	{a=2}
-109950	命意	65536	21629	3	{n=0, v=0}
-109951	尼日尔	86570	115870	2	{ns=4}
-109952	寸土寸	69062	108511	1	null
-109953	对流层	65536	152444	3	{n=0}
-109954	去掉	65536	21435	3	{v=1}
-109955	三面	65538	19977	1	null
-109956	假手	67221	20551	2	{n=0, v=0}
-109957	康庄大道	65536	109948	3	{i=1}
-109958	康必得	65536	129285	3	{nz=0}
-109959	准确	65690	20934	2	{a=47, ad=12, an=0}
-109960	卖俏	65536	21334	3	{v=0}
-109961	康拜因	65536	130076	3	{n=0}
-109962	康斯坦	86446	130799	1	null
-109963	借款	66812	20511	2	{n=4, v=1, vn=1}
-109964	尊老爱	82506	119877	1	null
-109965	康斯坦察	88527	109962	2	{ns=0}
-109966	康斯坦察县	65536	109965	3	{ns=0}
-109967	康涅狄	83286	132805	1	null
-109968	工艺学	65536	162506	3	{n=0}
-109969	假托	65536	20551	3	{v=0}
-109970	康涅狄格	85951	109967	1	null
-109971	保姆	65536	20445	3	{n=9}
-109972	上野	65536	19978	3	{ns=0}
-109973	何许	66414	20309	1	null
-109974	低微	65536	20302	3	{an=1}
-109975	化学当	65594	111696	1	null
-109976	医技	65536	21307	3	{n=1}
-109977	助手	65536	21161	3	{n=5}
-109978	利刃	65536	21033	3	{n=1}
-109979	其美	65536	20854	3	{nr=0}
-109980	寸草寸	69083	119817	1	null
-109981	康涅狄格州	65536	109970	3	{ns=2}
-109982	宁冈	82294	23425	1	null
-109983	寡居	65536	23521	3	{v=0}
-109984	康福宝	65536	135887	3	{nz=0}
-109985	墙布	65536	22681	3	{n=0}
-109986	免票	65536	20813	3	{n=0, vd=0}
-109987	博大	65550	21338	2	{a=4, an=1, nz=0}
-109988	康莱特	65536	138481	3	{nz=0}
-109989	剧照	65536	21095	3	{n=5}
-109990	康采恩	65536	142087	3	{nz=0}
-109991	假扮	65536	20551	3	{v=0}
-109992	庸人自	84793	110037	1	null
-109993	庸人自扰	65536	109992	3	{i=0}
-109994	庸庸碌	79138	114131	1	null
-109995	卷吸	70904	21367	1	null
-109996	千里马	65536	131830	3	{n=1}
-109997	庸俗化	65536	110322	3	{v=1, vn=0}
-109998	庸庸碌碌	65536	109994	3	{z=0}
-109999	党徒	65536	20826	3	{n=0}
-110000	大团结	65536	150652	3	{n=7}
-110001	借此	65681	20511	1	null
-110002	主星	65536	20027	3	{n=0}
-110003	不欢	65557	19981	1	null
-110004	刑警	65546	21009	2	{n=1}
-110005	二类	65536	20108	3	{b=0}
-110006	廉价品	65536	110568	3	{n=0}
-110007	廉政关	65536	116272	3	{n=4}
-110008	发行量	65536	143012	3	{n=6}
-110009	千里驹	65536	131830	3	{n=0}
-110010	廉正无	78845	117844	1	null
-110011	奔走相	79608	124170	1	null
-110012	医护	65536	21307	3	{v=0, vn=15}
-110013	小家子	79181	161214	1	null
-110014	廉正无私	65536	110010	3	{i=0}
-110015	廉江市	65536	118096	3	{ns=0}
-110016	刺客	65536	21050	3	{n=0}
-110017	廉洁勤政	65536	110390	3	{l=2}
-110018	廉洁奉公	65536	112027	3	{l=7}
-110019	夫子自	65644	106374	1	null
-110020	北京音	68852	122205	1	null
-110021	廉洁关	65536	118258	3	{n=3}
-110022	大天鹅	65536	151235	3	{n=0}
-110023	今非	65538	20170	1	null
-110024	廉洁自律	65536	122428	3	{l=21}
-110025	密码式	65536	140377	3	{b=1}
-110026	廉颇老	79336	129400	1	null
-110027	廉颇老矣	65536	110026	3	{i=1}
-110028	廊坊市	65536	110038	3	{ns=4}
-110029	兴办	65536	20852	3	{v=21, vn=0}
-110030	县人	68363	21439	1	null
-110031	延伸度	65536	113046	3	{n=0}
-110032	床位	65536	24202	3	{n=2}
-110033	廓清	65536	24275	3	{v=0, vn=1}
-110034	屡教	87692	23649	1	null
-110035	幸事	65536	24184	3	{n=0}
-110036	延吉市	65536	114279	3	{ns=0}
-110037	庸人	76734	24248	2	{n=2}
-110038	廊坊	85962	24266	2	{ns=2}
-110039	幸亏	65536	24184	3	{d=1}
-110040	延寿县	65536	116317	3	{ns=0}
-110041	延安市	65536	116199	3	{ns=1}
-110042	党徽	65536	20826	3	{n=0}
-110043	延展性	65536	116403	3	{n=1}
-110044	唇裂	65536	21767	3	{n=3}
-110045	倒戈	65536	20498	3	{v=0}
-110046	延年益	86496	116946	1	null
-110047	延年益寿	65536	110046	3	{i=2}
-110048	党心	65536	20826	3	{n=1}
-110049	延庆县	65536	116964	3	{ns=6}
-110050	延时器	65536	118868	3	{n=0}
-110051	中意	65536	20013	3	{a=0, j=0, nz=0}
-110052	延河水	65536	120593	3	{n=0}
-110053	平方和	65536	157979	3	{n=0}
-110054	延续性	65536	125259	3	{n=0}
-110055	延绵不	84032	125267	1	null
-110056	利剑	65536	21033	3	{n=0}
-110057	均等	65536	22343	3	{v=0, vn=0}
-110058	减小	65536	20943	3	{v=1}
-110059	块茎	65536	22359	3	{n=0}
-110060	减少	65536	20943	3	{v=219, vn=8}
-110061	延绵不断	65536	110055	3	{i=1}
-110062	壁板	65536	22721	3	{n=0}
-110063	交椅	65536	20132	3	{n=2}
-110064	何谓	65536	20309	3	{v=4}
-110065	延胡索	65536	125759	3	{n=0}
-110066	克格	66298	20811	1	null
-110067	不止	65536	19981	3	{v=10}
-110068	不正	65733	19981	1	null
-110069	延长县	65536	131037	3	{ns=0}
-110070	寸步难行	65536	125010	3	{i=2}
-110071	割让	65536	21106	3	{v=0}
-110072	县令	65536	21439	3	{n=0}
-110073	建军节	65536	138599	3	{t=0}
-110074	建功立	90082	138859	1	null
-110075	厚待	65536	21402	3	{v=1}
-110076	建功立业	65536	110074	3	{i=11}
-110077	刑讯	65536	21009	3	{n=1, v=1}
-110078	峰回	71677	23792	1	null
-110079	伊豆	65536	20234	3	{ns=0}
-110080	卖假	65536	21334	3	{v=1}
-110081	建国门	65536	139977	3	{ns=0}
-110082	主景	65536	20027	3	{n=0}
-110083	圭臬	65536	22317	3	{n=0}
-110084	建始县	65536	140695	3	{ns=0}
-110085	如临深	73833	134377	1	null
-110086	关张	65536	20851	3	{v=1}
-110087	佳话	65536	20339	3	{n=4}
-110088	叫座	65536	21483	3	{a=2}
-110089	建德市	65536	142211	3	{ns=0}
-110090	建房款	65536	142859	3	{n=1}
-110091	安居房	65536	149889	3	{n=0}
-110092	不死	65797	19981	1	null
-110093	孝心	65536	23389	3	{n=2}
-110094	建昌县	65536	143832	3	{ns=0}
-110095	建材厂	65536	144156	3	{n=3}
-110096	建档立	88753	144431	1	null
-110097	县份	65536	21439	3	{n=1}
-110098	建档立卡	65536	110096	3	{l=2}
-110099	宣传司	65536	117520	3	{n=3}
-110100	建湖县	65536	145954	3	{ns=0}
-110101	切开	65536	20999	3	{v=0}
-110102	建研会	65536	148448	3	{j=0}
-110103	尊姓	65536	23562	3	{n=1}
-110104	建章立	89060	149164	1	null
-110105	岸区	65536	23736	3	{s=1}
-110106	建章立制	65536	110104	3	{l=2}
-110107	岗哨	65536	23703	3	{n=0}
-110108	建管局	65536	149357	3	{j=1}
-110109	建议价	65536	153466	3	{n=0}
-110110	工商司	65536	150934	3	{n=0}
-110111	喊话	65536	21898	3	{v=0, vn=0}
-110112	倒手	65536	20498	3	{v=3}
-110113	建筑业	65536	149277	3	{n=11}
-110114	唤醒	65536	21796	3	{v=8}
-110115	开云见	84032	159320	1	null
-110116	副处	65689	21103	2	{b=0}
-110117	开云见日	65536	110115	3	{i=0}
-110118	够意	74982	22815	1	null
-110119	嵌套	65536	23884	3	{v=0}
-110120	倒打	66834	20498	1	null
-110121	开倒车	65536	159705	3	{v=1}
-110122	开元区	65536	160010	3	{ns=3}
-110123	偷渡	65637	20599	2	{v=6, vn=13}
-110124	存储点	65536	121869	3	{n=1}
-110125	厚德	65555	21402	1	null
-110126	开关柜	65536	160058	3	{n=2}
-110127	开创性	65536	160226	3	{b=0, n=2}
-110128	开化县	65536	160477	3	{ns=0}
-110129	奉告	65536	22857	3	{v=0}
-110130	开卷有	79721	160574	1	null
-110131	开卷有益	65536	110130	3	{i=0}
-110132	开原市	65536	160614	3	{ns=0}
-110133	开发计划	77509	126315	1	null
-110134	建设史	65536	153482	3	{n=6}
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-110224	力战	65536	21147	3	{v=0}
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-110467	保家	65589	20445	1	null
-110468	引水员	65536	150915	3	{n=0}
-110469	厚意	65536	21402	3	{n=0}
-110470	引火烧	73948	151994	1	null
-110471	引火烧身	65536	110470	3	{i=1}
-110472	引爆剂	65536	152405	3	{n=0}
-110473	引狼入	87015	152651	1	null
-110474	办税	65536	21150	3	{v=7, vn=0}
-110475	引狼入室	65536	110473	3	{i=0}
-110476	吵闹	65536	21557	3	{a=0, v=0, vn=1}
-110477	引申义	65536	153218	3	{n=0}
-110478	审计权	65536	132110	3	{n=0}
-110479	哑语	65536	21713	3	{n=0}
-110480	何足	65537	20309	1	null
-110481	亚记	65541	20122	1	null
-110482	引线人	65536	155662	3	{n=0}
-110483	保密	65584	20445	2	{v=5, vn=7}
-110484	引经据	89629	155678	1	null
-110485	引经据典	65536	110484	3	{i=0}
-110486	便盆	65536	20415	3	{n=0}
-110487	危房	65536	21361	3	{n=6}
-110488	小说家	65536	173564	3	{n=1}
-110489	五日	65987	20116	1	null
-110490	引而不	89036	155995	1	null
-110491	中拇	65537	20013	1	null
-110492	巷子	65536	24055	3	{n=1}
-110493	引而不发	65536	110490	3	{i=0}
-110494	寄主	65536	23492	3	{n=0}
-110495	呆若	67777	21574	1	null
-110496	引蛇出	82571	157718	1	null
-110497	山楂片	65536	156425	3	{n=0}
-110498	兴味	65536	20852	3	{n=1}
-110499	力挫	65536	21147	3	{v=1}
-110500	京韵	65597	20140	2	{n=1}
-110501	宫廷	79787	23467	2	{n=3}
-110502	宗教观	65536	113911	3	{n=0}
-110503	倒插	65547	20498	2	{v=0}
-110504	引以为憾	65536	110444	3	{l=0}
-110505	引蛇出洞	65536	110496	3	{l=0}
-110506	引进者	65536	160042	3	{n=1}
-110507	引航船	65536	156537	3	{n=0}
-110508	引黄入晋	65536	110511	3	{l=1}
-110509	书案	65536	20070	3	{n=0}
-110510	国家教	73383	138133	1	null
-110511	引黄入	84321	163859	1	null
-110512	引黄灌区	65536	118422	3	{l=1}
-110513	书桌	65536	20070	3	{n=2}
-110514	利君	65539	21033	1	null
-110515	卖出	70658	21334	2	{v=2, vn=0}
-110516	广播剧	65536	149661	3	{n=0}
-110517	力挽	65539	21147	1	null
-110518	弗吉尼	90397	110525	1	null
-110519	弗吉尼亚	86491	110518	2	{ns=0}
-110520	喉舌	65536	21897	3	{n=0}
-110521	弗吉尼亚州	65536	110519	3	{ns=1}
-110522	弗洛勒	84492	116943	1	null
-110523	弗洛勒斯	86820	110522	1	null
-110524	厌食	65554	21388	2	{v=0}
-110525	弗吉	86906	24343	1	null
-110526	哑谜	65536	21713	3	{n=0}
-110527	弗洛勒斯岛	65536	110523	3	{ns=0}
-110528	假撇	65540	20551	1	null
-110529	弗罗拉	86465	121611	2	{ns=0}
-110530	人去	65539	20154	1	null
-110531	弗罗拉市	65536	110529	3	{ns=0}
-110532	八拐	65536	20843	3	{n=0}
-110533	大气磅	69085	156078	1	null
-110534	弗蒂斯	65536	122934	3	{nz=0}
-110535	弗里敦	86472	126336	2	{ns=0}
-110536	奥妙	65536	22885	3	{a=1, an=0, n=1, nz=0}
-110537	人参	65536	20154	3	{n=1}
-110538	弗里敦市	65536	110535	3	{ns=0}
-110539	张万年	65536	129770	3	{nr=37}
-110540	主根	65536	20027	3	{n=0}
-110541	张三李	88307	129772	1	null
-110542	张三李四	65536	110541	3	{i=0}
-110543	主格	65536	20027	3	{n=0}
-110544	八拜	67537	20843	1	null
-110545	刚玉	65536	21018	3	{n=0, nz=1}
-110546	弛懈	65536	24347	3	{a=0}
-110547	五星	65615	20116	2	{b=0, n=0, nz=0}
-110548	东躲	65547	19996	1	null
-110549	常州市	65536	143223	3	{ns=1}
-110550	张冠李	85412	130691	1	null
-110551	吸收	73479	21560	2	{v=70, vn=4}
-110552	张冠李戴	65536	110550	3	{i=0}
-110553	弘图	65536	24344	3	{n=0}
-110554	埃斯	68236	22467	1	null
-110555	中指	65536	20013	3	{n=1}
-110556	不测	65536	19981	3	{b=0, vn=0}
-110557	功底	65536	21151	3	{n=3}
-110558	以次	65566	20197	2	{d=0}
-110559	不济	65675	19981	2	{a=3}
-110560	张北县	65536	131066	3	{ns=39}
-110561	二级	65536	20108	3	{b=9}
-110562	博学	70980	21338	2	{a=0, an=0}
-110563	年轻化	65536	165462	3	{v=2, vn=0}
-110564	开发业	65536	160664	3	{n=1}
-110565	大麻类	65536	169045	3	{n=0}
-110566	婺源	81764	23162	2	{ns=0}
-110567	张口结	77277	131270	1	null
-110568	廉价	88309	24265	2	{a=4, ad=2}
-110569	张口结舌	65536	110567	3	{i=0}
-110570	人口	65567	20154	2	{n=229}
-110571	寄予	65536	23492	3	{v=5}
-110572	升堂	68710	21319	1	null
-110573	弟兄	65536	24351	3	{n=1}
-110574	嘉峪	74562	22025	1	null
-110575	史抄	65536	21490	3	{n=0}
-110576	张宅乡	65536	133224	3	{ns=0}
-110577	咬耳	68115	21676	1	null
-110578	五显	65538	20116	1	null
-110579	喷油量	65536	123997	3	{n=0}
-110580	囚衣	65536	22234	3	{n=0}
-110581	地板蜡	65536	142814	3	{n=0}
-110582	巩固	65536	24041	3	{a=7, an=0, v=74, vn=8}
-110583	寅时	65536	23493	3	{t=0}
-110584	主桥	65536	20027	2	{n=1}
-110585	二线	65536	20108	3	{n=0}
-110586	婚姻观	65536	118697	3	{n=0}
-110587	张家口市	65536	110592	3	{ns=11}
-110588	引以为戒	65536	110444	3	{i=2}
-110589	尊容	65536	23562	3	{n=0}
-110590	夙敌	65536	22809	3	{n=0}
-110591	张家港市	65536	117324	3	{ns=3}
-110592	张家口	86521	133273	2	{ns=85}
-110593	唾骂	65536	21822	3	{v=1}
-110594	到点	65536	21040	3	{v=0}
-110595	奥委	80984	22885	1	null
-110596	尼克	80904	23612	1	null
-110597	宁可	65536	23425	3	{c=1, d=7}
-110598	塘肥	65536	22616	3	{n=0}
-110599	岳阳市	65536	127047	3	{ns=1}
-110600	工艺美术师	65536	108224	3	{n=0}
-110601	审判权	65536	117393	3	{n=0}
-110602	力排	68451	21147	1	null
-110603	张家界市	65536	119145	3	{ns=2}
-110604	庚丑	65536	24218	3	{m=0}
-110605	代言	66093	20195	1	null
-110606	实验林	65536	160107	3	{n=0}
-110607	击落	65536	20987	3	{v=0}
-110608	张家集镇	65536	127715	3	{ns=0}
-110609	张庄村	65536	133991	3	{ns=1}
-110610	少年宫	65536	131751	3	{n=2}
-110611	人同	65548	20154	1	null
-110612	人名	65573	20154	2	{n=1}
-110613	张店区	65536	134010	3	{ns=1}
-110614	刀把	65536	20992	3	{n=0}
-110615	张弓镇	65536	134134	3	{ns=0}
-110616	兵强	65553	20853	1	null
-110617	不消	65536	19981	3	{v=0}
-110618	层峦	86082	23618	1	null
-110619	张掖市	65536	135289	3	{ns=3}
-110620	张村乡	65536	136244	3	{ns=0}
-110621	寄人	74225	23492	1	null
-110622	已婚	65536	24050	3	{v=2, vn=1}
-110623	张灯结	86201	138578	1	null
-110624	减幅	65536	20943	3	{n=2}
-110625	以此	66235	20197	2	{d=19}
-110626	张灯结彩	65536	110623	3	{i=8}
-110627	寡廉	66259	23521	1	null
-110628	张牙舞	81405	139068	1	null
-110629	堂妹	65536	22530	3	{n=0}
-110630	作壁	66647	20316	1	null
-110631	张牙舞爪	65536	110628	3	{i=1}
-110632	交款	65536	20132	3	{v=2, vn=0}
-110633	会操	65536	20250	3	{vn=0}
-110634	尼共	65536	23612	3	{j=10}
-110635	张皇失	85123	140138	1	null
-110636	入不	65543	20837	1	null
-110637	张皇失措	65536	110635	3	{i=0}
-110638	弥天大罪	65536	110647	3	{i=0}
-110639	孩子王	65536	106226	3	{n=0}
-110640	宋平	65536	23435	3	{nr=6}
-110641	弥勒佛	65536	111247	3	{n=0}
-110642	工艺师	65536	162506	3	{n=0}
-110643	凄风	67143	20932	1	null
-110644	别扭	65536	21035	3	{a=0, an=0}
-110645	入世	65536	20837	3	{v=0}
-110646	堂姊	74728	22530	1	null
-110647	弥天大	78020	112870	1	null
-110648	弥天盖地	65536	118246	3	{i=0}
-110649	坠落	65536	22368	3	{v=4, vn=0}
-110650	余烬	65536	20313	3	{n=0}
-110651	余热	65536	20313	3	{n=2}
-110652	堂姐	74733	22530	2	{n=0}
-110653	弥渡县	65536	118238	3	{ns=0}
-110654	保山	65628	20445	2	{ns=1}
-110655	元曲	65536	20803	3	{n=1}
-110656	平面图	65536	170692	3	{n=0}
-110657	宋庄	65536	23435	3	{ns=0}
-110658	弥足珍	74511	126320	1	null
-110659	宋庆	65541	23435	1	null
-110660	弥足珍贵	65536	110658	3	{l=2}
-110661	弦乐器	65536	110688	3	{n=0}
-110662	弦切角	65536	111639	3	{n=0}
-110663	弦外之	71765	113446	1	null
-110664	弦外之音	65536	110663	3	{i=0}
-110665	弧光	81885	24359	2	{n=0}
-110666	叶子	65538	21494	2	{n=2, nr=0}
-110667	中捷	65536	20013	3	{nz=0}
-110668	弧光灯	65536	110665	3	{n=0}
-110669	产量	65536	20135	2	{n=85}
-110670	唱工	65536	21809	3	{n=0}
-110671	孰能	77580	23408	1	null
-110672	弧圈球	65536	112136	3	{n=1}
-110673	剑麻	65536	21073	3	{n=0}
-110674	工薪族	65536	163322	3	{n=0}
-110675	弩弓	65536	24361	3	{n=0}
-110676	卖力	65562	21334	2	{a=1}
-110677	元月	65536	20803	3	{t=20}
-110678	弯弯曲	84327	112504	1	null
-110679	兵役	66640	20853	2	{n=0}
-110680	哥特	70369	21733	1	null
-110681	弯弯曲曲	65536	110678	3	{z=1}
-110682	入主	66528	20837	2	{v=0}
-110683	弯曲形	89222	114491	1	null
-110684	化学战	65536	111696	3	{n=0}
-110685	如花似锦	65536	102058	3	{i=0}
-110686	弯曲形变	65536	110683	3	{l=0}
-110687	人员	65536	20154	3	{n=776}
-110688	弦乐	88541	24358	2	{n=0}
-110689	弯月形	65536	114513	3	{n=0}
-110690	弱不禁	71573	113111	1	null
-110691	弱不禁风	65536	110690	3	{i=0}
-110692	弱冷空	83025	114049	1	null
-110693	弱冷空气	65536	110692	3	{n=8}
-110694	中排	65536	20013	3	{n=3}
-110695	弱肉强	71562	126035	1	null
-110696	上钢	65536	19978	3	{n=0}
-110697	弱肉强食	65536	110695	3	{i=2}
-110698	元朝	65536	20803	3	{t=0}
-110699	卖劲	65536	21334	3	{a=0}
-110700	弱音器	65536	132029	3	{n=0}
-110701	弹丸之	88382	132180	1	null
-110702	弹丸之地	65536	110701	3	{i=0}
-110703	上钩	65536	19978	3	{v=0}
-110704	弹冠相	86507	133052	1	null
-110705	弹冠相庆	65536	110704	3	{i=0}
-110706	弹力呢	65536	133303	3	{n=0}
-110707	弹子房	65536	135532	3	{n=0}
-110708	弹尽粮	78232	135769	1	null
-110709	弹尽粮绝	65536	110708	3	{i=0}
-110710	弹性体	65536	136771	3	{n=0}
-110711	屈场	65536	23624	3	{nr=0}
-110712	博导	65536	21338	3	{j=4}
-110713	弹性模量	65536	117572	3	{l=0}
-110714	人味	65536	20154	3	{n=0}
-110715	中控	65545	20013	1	null
-110716	即日	65536	21363	3	{t=1}
-110717	弹拨乐	88598	137476	1	null
-110718	弹拨乐器	65536	110717	3	{n=1}
-110719	弹指之	72333	137507	1	null
-110720	入乡	65536	20837	1	null
-110721	弹指之间	65536	110719	3	{l=0}
-110722	大智若	75192	154644	1	null
-110723	寸心	65536	23544	3	{n=1}
-110724	人命	65606	20154	2	{n=0}
-110725	弹无虚	89271	138236	1	null
-110726	容人	65536	23481	3	{v=0}
-110727	垂头	77379	22402	1	null
-110728	弹无虚发	65536	110725	3	{i=1}
-110729	助攻	65536	21161	3	{v=0, vn=0}
-110730	山里娃	65536	166803	3	{n=0}
-110731	弹涂鱼	65536	140190	3	{n=0}
-110732	弹着点	65536	142684	3	{n=0}
-110733	即时	65536	21363	3	{d=2}
-110734	唯心论	65536	109690	3	{n=0}
-110735	以毒	65536	20197	1	null
-110736	博尔	70768	21338	1	null
-110737	品名	65536	21697	3	{n=2}
-110738	卷土	65603	21367	1	null
-110739	人和	65536	20154	3	{n=0}
-110740	嘴角	65536	22068	3	{n=0}
-110741	幸免	65536	24184	3	{v=2}
-110742	唯物论	65536	114464	3	{n=1}
-110743	弹花机	65536	145613	3	{n=0}
-110744	堕落	65536	22549	3	{v=5, vn=1}
-110745	弹药库	65536	145803	3	{n=0}
-110746	平平当	84807	156117	1	null
-110747	弹跳板	65536	148495	3	{n=0}
-110748	崇州	83973	23815	1	null
-110749	亲见	65536	20146	3	{v=1}
-110750	弹道导	86374	149103	1	null
-110751	弹道导弹	65536	110750	3	{n=0}
-110752	庚亥	65536	24218	3	{m=0}
-110753	强买强	89420	147401	1	null
-110754	强买强卖	65536	110753	3	{l=1}
-110755	强人所	72167	147475	1	null
-110756	中提	65537	20013	1	null
-110757	强人所难	65536	110755	3	{i=0}
-110758	强作解	90607	147637	1	null
-110759	助教	65536	21161	3	{n=0, v=1, vn=0}
-110760	五更	65536	20116	3	{t=0}
-110761	强作解人	65536	110758	3	{l=0}
-110762	叱骂	65536	21489	3	{v=0}
-110763	体操	65617	20307	2	{n=7}
-110764	强击机	65536	148308	3	{n=0}
-110765	弹簧圈	65536	143939	3	{n=0}
-110766	强制力	65536	148367	3	{n=0}
-110767	强加于	90614	148473	1	null
-110768	强加于人	65536	110767	3	{l=0}
-110769	强取豪	87928	148783	1	null
-110770	强取豪夺	65536	110769	3	{l=0}
-110771	光临	65536	20809	3	{v=5, vn=2}
-110772	名闻遐	65604	150628	1	null
-110773	塑料管	65536	104727	3	{n=0}
-110774	强台风	65536	148809	3	{n=1}
-110775	大面积	65536	167164	3	{b=1, d=7, n=0}
-110776	副官	65536	21103	3	{n=1}
-110777	强壮剂	65536	150087	3	{n=0}
-110778	庶出	65536	24246	3	{b=0}
-110779	尺子	65536	23610	3	{n=1}
-110780	五月	65540	20116	2	{t=10}
-110781	东辛	65536	19996	1	null
-110782	强奸犯	65536	150225	3	{n=0}
-110783	强巴阿	84957	151373	1	null
-110784	上铺	65536	19978	3	{n=0}
-110785	呼之	66796	21628	1	null
-110786	党报	65536	20826	3	{n=10}
-110787	强巴阿擦	90473	110783	2	{nz=0}
-110788	强巴阿擦佛	65536	110787	3	{n=0}
-110789	强弩之	84382	151682	1	null
-110790	传曼	65540	20256	1	null
-110791	区政	66228	21306	1	null
-110792	人品	65536	20154	3	{n=6}
-110793	强弩之末	65536	110789	3	{i=0}
-110794	强强联	89283	151699	1	null
-110795	强强联合	65536	110794	3	{l=6}
-110796	尕玛	65536	23573	3	{nr=0}
-110797	光乎	67386	20809	1	null
-110798	奔头	65536	22868	3	{n=1}
-110799	强心剂	65536	151836	3	{n=0}
-110800	强手如	84284	152484	1	null
-110801	医方	65536	21307	3	{n=0}
-110802	乐队	65536	20048	3	{n=8}
-110803	强手如林	65536	110800	3	{l=2}
-110804	强有力	65536	153698	3	{l=15}
-110805	强权政	82974	153756	1	null
-110806	外国籍	65536	142718	3	{n=0}
-110807	定向招	75379	144116	1	null
-110808	宪政	65536	23466	3	{n=2}
-110809	强权政治	65536	110805	3	{l=3}
-110810	强横霸	73867	154499	1	null
-110811	东边	65536	19996	3	{f=0}
-110812	先师	65536	20808	3	{n=0}
-110813	作奸	65537	20316	1	null
-110814	强横霸道	65536	110810	3	{l=0}
-110815	强的松	65536	157661	3	{n=0}
-110816	壁橱	65536	22721	3	{n=2}
-110817	书楼	65536	20070	3	{n=0}
-110818	岔开	65536	23700	3	{v=0}
-110819	强盗窝	65536	157744	3	{n=0}
-110820	强硬派	65536	158149	3	{n=3}
-110821	强行军	65536	162213	3	{n=0}
-110822	强词夺	81121	163110	1	null
-110823	强词夺理	65536	110822	3	{i=1}
-110824	强身健	90519	163844	1	null
-110825	强迫症	65536	164164	3	{n=2}
-110826	强身健体	65536	110824	3	{i=0}
-110827	净重	65536	20928	3	{n=0}
-110828	含怒	65536	21547	3	{v=0}
-110829	博山	69725	21338	1	null
-110830	宏业	65536	23439	3	{nz=1}
-110831	和平谈	73432	120371	1	null
-110832	岁月如	79932	114755	1	null
-110833	以水	65537	20197	1	null
-110834	入仓	65536	20837	3	{v=0}
-110835	强颜欢	79331	166389	1	null
-110836	强颜欢笑	65536	110835	3	{l=0}
-110837	定场诗	65536	144925	3	{n=1}
-110838	归去来	89994	136787	1	null
-110839	品味	65536	21697	3	{n=1, v=3, vn=0}
-110840	归去来兮	65536	110838	3	{i=1}
-110841	三高	65536	19977	3	{j=2, nz=0}
-110842	归因于	65536	137592	3	{v=0}
-110843	做礼	65539	20570	1	null
-110844	归属感	65536	138998	3	{n=0}
-110845	归心似	79185	139867	1	null
-110846	归心似箭	65536	110845	3	{i=1}
-110847	功德	66442	21151	2	{n=0}
-110848	归根到底	65536	110851	3	{l=8}
-110849	归根究底	65536	121161	3	{l=0}
-110850	归根结底	65536	122278	3	{i=4}
-110851	归根到	86635	142033	1	null
-110852	商品经	67050	128893	1	null
-110853	停歇	65536	20572	3	{v=2}
-110854	即景	65643	21363	2	{n=2}
-110855	归真返	81002	145847	1	null
-110856	归真返璞	65536	110855	3	{i=0}
-110857	归纳法	65536	147787	3	{n=0}
-110858	嗓音	65536	21971	3	{n=4}
-110859	归行率	65536	150244	3	{j=1, n=0}
-110860	减弱	65536	20943	3	{v=13, vn=1}
-110861	归谬法	65536	151236	3	{n=0}
-110862	当一天	89221	150224	1	null
-110863	主楼	65536	20027	3	{n=1}
-110864	归集率	65536	153950	3	{n=2}
-110865	当一天和	87292	110862	1	null
-110866	妙境	65536	22937	3	{n=0}
-110867	升天	65536	21319	3	{v=0}
-110868	展览室	65536	136364	3	{n=0}
-110869	剑齿	65544	21073	1	null
-110870	当一天和尚	85114	110865	1	null
-110871	体改	65544	20307	2	{j=0}
-110872	当一天和尚撞	90909	110870	1	null
-110873	坦然	65536	22374	3	{a=1, ad=1, an=0}
-110874	小家庭	65536	161214	3	{n=1}
-110875	太平盛	80967	119957	1	null
-110876	将士	65536	23558	3	{n=2}
-110877	当一天和尚撞一	88054	110872	1	null
-110878	假日	65536	20551	3	{n=10}
-110879	当一天和尚撞一天	72837	110877	1	null
-110880	停止	65536	20572	3	{v=58, vn=0}
-110881	大有益	77279	154787	1	null
-110882	上镜	65537	19978	1	null
-110883	停步	65536	20572	3	{n=0, v=1}
-110884	当一天和尚撞一天钟	65536	110879	3	{i=0}
-110885	当之无	86016	150299	1	null
-110886	副将	65536	21103	3	{n=0}
-110887	当之无愧	65536	110885	3	{i=7}
-110888	乐陵	65570	20048	2	{ns=0}
-110889	乐陶	65536	20048	1	null
-110890	当仁不	75138	150417	1	null
-110891	当仁不让	65536	110890	3	{i=1}
-110892	入伍	65536	20837	3	{v=7, vn=1}
-110893	光亮	67291	20809	2	{a=0, n=3}
-110894	入伏	65536	20837	3	{v=0}
-110895	传来	65536	20256	3	{v=26, vn=1}
-110896	安居乐教	65536	104988	3	{l=1}
-110897	交汇	65541	20132	2	{v=3, vn=2}
-110898	当代人	65536	150451	3	{n=3}
-110899	会旗	65536	20250	3	{n=0}
-110900	当务之	86290	151409	1	null
-110901	唐河	73504	21776	1	null
-110902	始料	82727	22987	1	null
-110903	当务之急	65536	110900	3	{i=19}
-110904	入伙	65536	20837	3	{v=0, vn=0}
-110905	入会	65536	20837	3	{v=1, vn=1}
-110906	当头一	84076	153092	1	null
-110907	二老	65542	20108	2	{n=1}
-110908	亚赛	65555	20122	1	null
-110909	优雅	65536	20248	3	{a=5, an=0}
-110910	当头一棒	65536	110906	3	{i=0}
-110911	二者	65536	20108	3	{r=6}
-110912	幅宽	65536	24133	3	{n=0}
-110913	当事人	65536	150363	3	{n=25}
-110914	历程	65536	21382	3	{n=38}
-110915	制品	65536	21046	3	{n=21}
-110916	寄信	85803	23492	2	{v=2}
-110917	倒数	65536	20498	3	{n=0, v=2, vn=0}
-110918	当地人	65536	152576	3	{n=9}
-110919	当头棒喝	65536	117772	3	{i=0}
-110920	当家作	90894	153734	1	null
-110921	当家作主	65536	110920	3	{i=7, l=0}
-110922	当家做主	65536	111174	3	{l=1}
-110923	尊崇	65536	23562	3	{v=0, vn=0}
-110924	当局者	74071	153872	1	null
-110925	寸土必	86287	108511	1	null
-110926	当局者迷	65536	110924	3	{i=0}
-110927	哨棒	65536	21736	3	{n=0}
-110928	当断不	84900	156285	1	null
-110929	当断不断	65536	110928	3	{i=0}
-110930	当机立	84905	156682	1	null
-110931	凶焰	65536	20982	3	{n=0}
-110932	埃塞萨	65536	107145	3	{nz=0}
-110933	养殖	67919	20859	2	{v=11, vn=27}
-110934	当机立断	65536	110930	3	{i=2}
-110935	当权派	65536	156691	3	{n=0}
-110936	当涂县	65536	158290	3	{ns=0}
-110937	尼加	82110	23612	1	null
-110938	当炮灰	65536	159102	3	{l=0}
-110939	岛屿	65536	23707	3	{n=4}
-110940	土地证	65536	135922	3	{n=0}
-110941	当牛做马	65536	110946	3	{l=0}
-110942	当耳边	71831	163075	1	null
-110943	区旗	65536	21306	3	{n=0}
-110944	副局	65691	21103	1	null
-110945	庶务	65536	24246	3	{n=0}
-110946	当牛做	71409	159531	1	null
-110947	尺寸	65536	23610	3	{n=3}
-110948	信差	65536	20449	3	{n=0}
-110949	当耳边风	65536	110942	3	{l=0}
-110950	作威	66315	20316	1	null
-110951	偏流	65536	20559	3	{n=0}
-110952	会昌	65765	20250	1	null
-110953	当轴处	90941	166980	1	null
-110954	当轴处中	65536	110953	3	{i=0}
-110955	当量浓	86729	167583	1	null
-110956	固执	72268	22266	2	{a=0, an=0, v=0}
-110957	化境	65536	21270	3	{n=0}
-110958	入住	65536	20837	3	{v=1}
-110959	当量浓度	65536	110955	3	{n=0}
-110960	工程建设者	65536	108210	3	{n=1}
-110961	厂庆	65536	21378	3	{n=2}
-110962	不满	65536	19981	3	{a=6, an=4, v=2, vn=0}
-110963	当间儿	65536	168644	3	{f=0}
-110964	录放机	65536	116349	3	{n=0}
-110965	东道	65851	19996	2	{n=0}
-110966	录相机	65536	120887	3	{n=0}
-110967	彗星	65536	24407	3	{n=0}
-110968	嘉年	74090	22025	1	null
-110969	彝海结	80539	117931	1	null
-110970	彝海结盟	65536	110969	3	{l=1}
-110971	形不成	65536	130263	3	{v=1}
-110972	寥寥无	85424	106378	1	null
-110973	形于辞	77581	130392	1	null
-110974	录音室	65536	129330	3	{n=0}
-110975	形于辞色	65536	110973	3	{i=0}
-110976	形单影	89495	131615	1	null
-110977	形单影只	65536	110976	3	{i=0}
-110978	宏亮	65536	23439	3	{a=0}
-110979	划界	65536	21010	3	{v=0, vn=0}
-110980	卖友	65550	21334	1	null
-110981	千里鹅	65545	131830	1	null
-110982	录像仪	65536	111118	3	{n=1}
-110983	形同虚	75211	131798	1	null
-110984	峨嵋	84339	23784	2	{n=0}
-110985	形同虚设	65536	110983	3	{l=4}
-110986	嘉庆	65536	22025	3	{nr=0, t=0}
-110987	太空病	65536	127132	3	{n=0}
-110988	养母	65536	20859	3	{n=0}
-110989	形声字	65536	133050	3	{n=0}
-110990	催讨	65536	20652	3	{v=0}
-110991	国家机	75529	138133	1	null
-110992	主槽	65536	20027	3	{n=0}
-110993	培育	65536	22521	3	{v=73, vn=6}
-110994	以法	65536	20197	3	{d=2}
-110995	妙处	65536	22937	3	{n=1}
-110996	亚足	65543	20122	1	null
-110997	形容憔	86242	133763	1	null
-110998	形容憔悴	65536	110997	3	{l=0}
-110999	别提	65536	21035	3	{v=1}
-111000	形式主义	65536	111039	3	{n=17}
-111001	寸步不让	65536	106401	3	{l=0}
-111002	形式参数	65536	112454	3	{n=0}
-111003	彝剧	65536	24413	3	{n=0}
-111004	呼伦	65537	21628	1	null
-111005	传染	65679	20256	2	{v=3, vn=1}
-111006	帝国	88880	24093	2	{n=3, nz=2}
-111007	含情	65575	21547	1	null
-111008	售粮	65536	21806	3	{v=1, vn=0}
-111009	大事记	65536	148517	3	{n=4}
-111010	关押	65536	20851	3	{v=4}
-111011	形式逻辑	65536	127935	3	{l=0}
-111012	形形色	77625	134700	1	null
-111013	广播员	65536	149661	3	{n=0}
-111014	号房	65536	21495	3	{n=0}
-111015	以泪	65537	20197	1	null
-111016	并行口	65536	146406	3	{n=0}
-111017	埃松	67077	22467	1	null
-111018	庇护权	65536	114672	3	{n=0}
-111019	形形色色	65536	111012	3	{i=4}
-111020	坟茔	65536	22367	3	{n=0}
-111021	夺权	65536	22842	3	{v=0}
-111022	上门	65536	19978	3	{v=23, vd=0, vn=0}
-111023	形影不离	65536	111029	3	{i=0}
-111024	制售	65536	21046	3	{v=1}
-111025	国家杜	65587	138133	1	null
-111026	号手	65536	21495	3	{n=1}
-111027	凌驾	65536	20940	3	{v=0}
-111028	向斜	70372	21521	1	null
-111029	形影不	79860	134715	1	null
-111030	形影相吊	65536	121504	3	{i=0}
-111031	形态各异	65536	111032	3	{l=1}
-111032	形态各	86709	134859	1	null
-111033	形意拳	65536	135129	3	{n=0}
-111034	形神各	86715	141352	1	null
-111035	代议	65562	20195	1	null
-111036	形成层	65536	135386	3	{n=0}
-111037	形神各异	65536	111034	3	{l=1}
-111038	体无	65603	20307	1	null
-111039	形式主	90959	134617	1	null
-111040	会晤	65536	20250	3	{n=0, v=47, vn=40}
-111041	形神妙肖	65536	112463	3	{i=1}
-111042	形而上学	65536	111049	3	{l=1, n=1}
-111043	年利税	65536	149764	3	{n=3}
-111044	形象化	65536	146219	3	{v=2, vn=0}
-111045	叛贼	65536	21467	3	{n=0}
-111046	巧言如	76548	132962	1	null
-111047	形象思维	65536	114379	3	{l=0}
-111048	东邦	65536	19996	3	{nz=0}
-111049	形而上	87644	143062	2	{b=0, l=2}
-111050	形而下	65536	143062	3	{b=1}
-111051	彤云	65536	24420	3	{n=0}
-111052	彩墨画	65536	135148	3	{n=2}
-111053	彩布条	65536	136519	3	{n=1}
-111054	彩旗猎	81602	138523	1	null
-111055	园林	75027	22253	2	{n=7}
-111056	彩旗猎猎	65536	111054	3	{l=1}
-111057	彩粉画	65536	144333	3	{n=0}
-111058	对话框	65536	160280	3	{n=0}
-111059	养气	65536	20859	3	{v=1}
-111060	入侵	65536	20837	3	{v=11, vn=3}
-111061	事过	65536	20107	1	null
-111062	书橱	65536	20070	3	{n=1}
-111063	宰杀	65536	23472	3	{v=3}
-111064	床单	65536	24202	3	{n=0}
-111065	夺杯	65536	22842	3	{v=0}
-111066	代词	65536	20195	3	{n=0}
-111067	彩色电视	65536	114252	3	{l=0}
-111068	廊子	65536	24266	3	{n=0}
-111069	东邻	65548	19996	1	null
-111070	州政	83887	24030	1	null
-111071	彩蝴蝶	65536	147128	3	{n=1}
-111072	彩色棉	65536	145846	3	{n=0}
-111073	彩蝶飞	77765	147130	1	null
-111074	云锣	65536	20113	3	{n=0}
-111075	彩蝶飞舞	65536	111073	3	{l=1}
-111076	壮丁	65536	22766	3	{n=1}
-111077	云锦	65536	20113	3	{n=0}
-111078	彩釉陶	65536	149773	3	{n=0}
-111079	彩陶文	89817	150970	1	null
-111080	屋子	65536	23627	3	{n=8}
-111081	含意	65536	21547	3	{n=0}
-111082	岛崎	65536	23707	3	{nr=0}
-111083	义齿	65536	20041	3	{n=0}
-111084	东郊	65536	19996	3	{s=0}
-111085	右翼	65536	21491	3	{n=7}
-111086	孽障	65536	23421	3	{n=0}
-111087	彩陶文化	65536	111079	3	{l=0}
-111088	彪形大	83371	111117	1	null
-111089	增长量	65536	143399	3	{n=2}
-111090	停水	65536	20572	3	{v=0}
-111091	宏伟	65536	23439	3	{a=25, an=0, nr=0, v=0, vn=0}
-111092	彪形大汉	65536	111088	3	{i=0}
-111093	倒映	65536	20498	3	{v=1}
-111094	彪炳千	89619	115550	1	null
-111095	彪炳千古	65536	111094	3	{i=0}
-111096	彪炳史册	65536	111269	3	{i=0}
-111097	唐海	73508	21776	1	null
-111098	彪炳春秋	65536	115928	3	{i=0}
-111099	上阵	65536	19978	3	{v=8}
-111100	凉爽	66472	20937	2	{a=2, an=1}
-111101	向日	65539	21521	1	null
-111102	彬彬	84727	24428	1	null
-111103	利器	65536	21033	3	{n=0}
-111104	彬彬有	80069	111102	1	null
-111105	彬彬有礼	65536	111104	3	{i=0}
-111106	彭州市	65536	113014	3	{ns=1}
-111107	彭德怀	65536	113487	3	{nr=2}
-111108	倒是	65536	20498	3	{d=12, v=0}
-111109	彭珮云	65536	118662	3	{=0, nr=9}
-111110	劝阻	65536	21149	3	{v=1, vn=1}
-111111	事迹	65536	20107	3	{n=56}
-111112	只是	65536	21482	3	{c=33, d=38, v=2}
-111113	名垂青	72204	134635	1	null
-111114	东部	65536	19996	3	{f=94, n=0, s=0}
-111115	代课	65536	20195	3	{v=1, vn=0}
-111116	划痕	65536	21010	3	{n=3}
-111117	彪形	88265	24426	1	null
-111118	录像	90780	24405	2	{n=4, v=2, vn=1}
-111119	东郭	65536	19996	3	{nr=0}
-111120	彭泽县	65536	116885	3	{ns=1}
-111121	彭畈乡	65536	119008	3	{ns=0}
-111122	中放	65536	20013	3	{b=0}
-111123	壮丰	74492	22766	1	null
-111124	寄生虫	65536	120450	3	{n=1}
-111125	大白菜	65536	158743	3	{n=6}
-111126	上限	65536	19978	3	{n=1}
-111127	彰善瘅	86439	111130	1	null
-111128	劝降	65536	21149	3	{vn=0}
-111129	剧痛	65536	21095	3	{n=1}
-111130	彰善	80914	24432	1	null
-111131	二胡	65536	20108	3	{n=2}
-111132	庭审	65536	24237	3	{n=0, v=2, vn=1}
-111133	彰善瘅恶	65536	111127	3	{i=0}
-111134	彰明较	77259	115364	1	null
-111135	屋宇	65536	23627	3	{n=0}
-111136	壮丽	65536	22766	3	{a=7, an=1}
-111137	壮举	65536	22766	3	{n=10}
-111138	彰明较著	65536	111134	3	{i=0}
-111139	复印纸	65536	133749	3	{n=0}
-111140	右耳	65536	21491	3	{n=1}
-111141	交活	65536	20132	3	{v=0}
-111142	向明	65536	21521	3	{nz=0}
-111143	头发菜	65536	134282	3	{n=0}
-111144	上院	65536	19978	3	{n=1}
-111145	下议	65540	19979	1	null
-111146	影剧界	65536	122358	3	{n=0}
-111147	交流	65903	20132	2	{n=0, v=37, vd=0, vn=155}
-111148	兴国	66216	20852	2	{ns=0, v=2, vn=1}
-111149	店主	65536	24215	3	{n=1}
-111150	影响力	65536	122972	3	{n=12}
-111151	代谢	65581	20195	2	{v=0, vn=1}
-111152	哈哈镜	65536	114779	3	{n=0}
-111153	影印件	65536	122623	3	{n=0}
-111154	嫡派	65536	23265	3	{n=0}
-111155	影子内	72755	124639	1	null
-111156	影子内阁	65536	111155	3	{l=0}
-111157	影影绰	78663	125696	1	null
-111158	卖命	65536	21334	3	{a=0, v=0}
-111159	影影绰绰	65536	111157	3	{i=0}
-111160	影戏院	65536	126366	3	{n=0}
-111161	下设	65536	19979	3	{v=5}
-111162	射手	79581	23556	2	{n=0}
-111163	影碟机	65536	132142	3	{n=10}
-111164	影视剧	65536	136533	3	{n=0}
-111165	尽心尽意	65536	107462	3	{i=0}
-111166	影调剧	65536	137106	3	{n=0}
-111167	彷徨	65536	24439	3	{v=1, vn=0}
-111168	彻夜不	80673	111181	1	null
-111169	彻夜不眠	65536	111168	3	{i=0}
-111170	役使	65536	24441	3	{v=0}
-111171	墙报	65536	22681	3	{n=0}
-111172	壮乡	65536	22766	3	{n=0}
-111173	彻头彻	87563	111205	1	null
-111174	当家做	90895	153734	1	null
-111175	医术	65536	21307	3	{n=4}
-111176	国防观	65536	153105	3	{n=0}
-111177	彻头彻尾	65536	111173	3	{i=1}
-111178	减息	65536	20943	3	{v=2, vn=4}
-111179	庙号	65536	24217	3	{n=0}
-111180	尊师	69362	23562	1	null
-111181	彻夜	91187	24443	2	{d=1}
-111182	勤谨	65536	21220	3	{a=0}
-111183	幻像	65536	24187	3	{nz=0}
-111184	彼一时	65536	111187	3	{i=0}
-111185	彼得大	87095	115690	1	null
-111186	工程学	65536	160347	3	{n=0}
-111187	彼一	85082	24444	1	null
-111188	彼得大帝	65536	111185	3	{n=0}
-111189	往返票	65536	127962	3	{n=1}
-111190	庸医	65536	24248	3	{n=0}
-111191	征兵制	65536	135750	3	{n=0}
-111192	假期	65536	20551	3	{t=3}
-111193	征收率	65536	140807	3	{n=2}
-111194	征订单	65536	150643	3	{n=0}
-111195	中文	65543	20013	2	{nz=48}
-111196	国家标	75447	138133	1	null
-111197	征购粮	65536	151038	3	{n=0}
-111198	壁毯	65536	22721	3	{n=1}
-111199	征集组	65536	153495	3	{n=1}
-111200	国家栋	69630	138133	1	null
-111201	复合肥	72896	133901	2	{n=7}
-111202	保底	65536	20445	3	{vd=0, vn=0}
-111203	径情直	74276	114456	1	null
-111204	径向	65536	24452	3	{n=0}
-111205	彻头	86730	24443	1	null
-111206	径情直遂	65536	111203	3	{i=0}
-111207	待业率	65536	121661	3	{n=1}
-111208	傻里	66720	20667	1	null
-111209	叩首	65536	21481	3	{v=0}
-111210	待业青年	65536	120370	3	{n=0}
-111211	待人接	81924	121821	1	null
-111212	待产妇	65536	121802	3	{n=0}
-111213	待人接物	65536	111211	3	{i=0}
-111214	待价而	83381	121882	1	null
-111215	关掉	65536	20851	3	{v=0}
-111216	化妆	67730	21270	2	{v=1, vn=0}
-111217	夺标	65536	22842	3	{v=1}
-111218	待价而沽	65536	111214	3	{i=0}
-111219	交涉	65536	20132	3	{v=3, vn=2}
-111220	下诹	65536	19979	1	null
-111221	下诺	65556	19979	1	null
-111222	待会儿	65536	121917	3	{d=0}
-111223	切换	65536	20999	3	{v=2, vn=3}
-111224	待字闺	91213	125050	1	null
-111225	下课	65536	19979	3	{v=0, vn=0}
-111226	待字闺中	65536	111224	3	{i=0}
-111227	会期	65536	20250	3	{n=0}
-111228	待时而	90069	127769	1	null
-111229	待时而动	65536	111228	3	{i=0}
-111230	下调	65536	19979	3	{v=12, vn=0}
-111231	待机而	90074	128093	1	null
-111232	巫头	81903	24043	1	null
-111233	中断	65536	20013	3	{v=13, vn=2}
-111234	待机而动	65536	111231	3	{i=0}
-111235	待理不	81537	131369	1	null
-111236	保康	65793	20445	2	{ns=0}
-111237	决策	67858	20915	2	{n=58, v=27, vn=36}
-111238	国产货	65536	134790	3	{n=0}
-111239	待理不理	65536	111235	3	{l=0}
-111240	停泊	65536	20572	3	{v=2, vn=0}
-111241	徇情	84737	24455	2	{v=0}
-111242	徇情枉	83382	111241	1	null
-111243	徇情枉法	65536	111242	3	{i=0}
-111244	上集	65536	19978	3	{n=0}
-111245	中方	65536	20013	3	{n=53}
-111246	徇私枉法	65536	111250	3	{l=1}
-111247	弥勒	90326	24357	2	{n=0}
-111248	徇私舞弊	65536	118055	3	{i=4}
-111249	往事	65536	24448	3	{n=11}
-111250	徇私枉	83385	117637	1	null
-111251	很早以	90191	114550	1	null
-111252	利国	68229	21033	1	null
-111253	吴语	65536	21556	3	{n=0}
-111254	墨守陈	65644	117479	1	null
-111255	呼吸道	65536	112302	3	{l=0, n=1}
-111256	帆板	65536	24070	3	{n=2}
-111257	中旅	65536	20013	3	{j=0}
-111258	假条	65536	20551	3	{n=0}
-111259	孕期	65536	23381	3	{t=2}
-111260	很早以前	65536	111251	3	{l=0}
-111261	尼古	87432	23612	1	null
-111262	很难说	65536	127051	3	{l=4}
-111263	山水田	81253	157179	1	null
-111264	律师费	65536	115156	3	{n=0}
-111265	嫌犯	65536	23244	3	{n=0}
-111266	律政司	65536	117003	3	{n=1}
-111267	奸夫	65536	22904	3	{n=0}
-111268	录入	65536	24405	3	{v=1, vn=0}
-111269	彪炳史	90220	115550	1	null
-111270	乐音	65536	20048	3	{n=0}
-111271	很多	65536	24456	3	{a=0, m=119}
-111272	便秘	65536	20415	3	{v=0}
-111273	五棵	65546	20116	1	null
-111274	山水画	65536	157179	3	{n=1}
-111275	寄生蜂	65536	120450	3	{n=0}
-111276	徐公祠	65536	111346	3	{ns=0}
-111277	八方	65693	20843	2	{nz=9}
-111278	徐家汇	65536	113980	3	{ns=1}
-111279	徐州市	65536	114532	3	{ns=7}
-111280	律令	65536	24459	3	{n=0}
-111281	培养费	65536	98906	3	{n=0}
-111282	徐庄村	65536	114698	3	{ns=0}
-111283	徐悲鸿	65536	115256	3	{nr=6}
-111284	主次	65536	20027	3	{n=0}
-111285	徐水县	65536	118202	3	{ns=0}
-111286	伊都	65536	20234	1	null
-111287	堂屋	65536	22530	3	{n=1}
-111288	借火	65536	20511	3	{v=0}
-111289	奖惩	65536	22870	3	{n=3, v=0, vn=0}
-111290	府南	82028	24220	2	{ns=2}
-111291	嘉德	65536	22025	3	{ns=1, nz=0}
-111292	徐汇区	65536	118221	3	{ns=0}
-111293	三鲜	65536	19977	1	null
-111294	徒劳无	90146	113098	1	null
-111295	巫女	65536	24043	3	{n=0}
-111296	中旬	65536	20013	3	{f=1, n=0, t=22}
-111297	徒劳无功	65536	111294	3	{i=0}
-111298	合同额	65536	128289	3	{n=1}
-111299	富裕户	65536	139431	3	{n=2}
-111300	徒子徒	87918	115303	1	null
-111301	席地	76149	24109	2	{d=0}
-111302	决算	67983	20915	2	{n=1, v=0, vn=0}
-111303	徒子徒孙	65536	111300	3	{l=0}
-111304	始末	65536	22987	3	{n=0}
-111305	徒手操	65536	117090	3	{n=0}
-111306	夸海	79586	22840	1	null
-111307	八旗	65536	20843	3	{n=1}
-111308	局地	65536	23616	3	{j=0}
-111309	徒有其名	65536	111313	3	{i=0}
-111310	历算	65716	21382	1	null
-111311	团圆饭	65536	125308	3	{n=5}
-111312	徒有虚名	65536	124853	3	{i=0}
-111313	徒有其	89792	118304	1	null
-111314	凶犯	65536	20982	3	{n=1}
-111315	县县	65536	21439	3	{n=4}
-111316	妙手空	70848	113370	1	null
-111317	假果	65536	20551	3	{n=0}
-111318	和平路	65536	120371	3	{ns=0}
-111319	寄兴	82455	23492	1	null
-111320	士敏	75620	22763	1	null
-111321	岸基	65536	23736	3	{n=0}
-111322	徒步走	65536	119420	3	{n=0}
-111323	得不偿失	65536	111324	3	{i=3}
-111324	得不偿	88490	136932	1	null
-111325	得了吧	65536	137053	3	{l=0}
-111326	寄养	65536	23492	3	{v=0}
-111327	得人心	65536	137105	3	{a=2}
-111328	八旬	65536	20843	3	{m=2}
-111329	岩层	65536	23721	3	{n=2}
-111330	只有	65536	21482	3	{c=147, d=31, v=1}
-111331	得克萨	85304	137762	1	null
-111332	岩居	76596	23721	1	null
-111333	凶狂	65536	20982	3	{a=0}
-111334	兵戈	65579	20853	2	{n=0}
-111335	得克萨斯	87306	111331	2	{ns=2}
-111336	得克萨斯州	65536	111335	3	{ns=4}
-111337	得分手	65536	137949	3	{n=0}
-111338	卖唱	65536	21334	3	{v=1}
-111339	乱麻	65536	20081	3	{n=0}
-111340	兵戎	65581	20853	2	{n=0}
-111341	得利于	65536	137984	3	{v=2}
-111342	得大自	89031	139774	1	null
-111343	得大自在	65536	111342	3	{i=0}
-111344	得天独	89943	139776	1	null
-111345	得天独厚	65536	111344	3	{i=5}
-111346	徐公	80204	24464	1	null
-111347	得失荣	84805	139784	1	null
-111348	得失荣枯	65536	111347	3	{i=0}
-111349	得寸进	87740	140495	1	null
-111350	得寸进尺	65536	111349	3	{i=1}
-111351	人困	65542	20154	1	null
-111352	叠韵	65536	21472	3	{n=0}
-111353	得心应	86192	141466	1	null
-111354	养活	65536	20859	3	{v=0}
-111355	得心应手	65536	111353	3	{i=1}
-111356	得意之笔	65536	111360	3	{l=1}
-111357	兴城	65536	20852	3	{ns=1}
-111358	得意忘形	65536	115853	3	{i=0}
-111359	奸妇	65536	22904	3	{n=0}
-111360	得意之	79848	141798	1	null
-111361	商业网	65536	127190	3	{n=0}
-111362	壮伟	65536	22766	3	{a=0}
-111363	凶狠	65536	20982	3	{a=1}
-111364	史料	65536	21490	3	{n=5}
-111365	常规武	86868	154461	1	null
-111366	不灵	65536	19981	3	{a=3}
-111367	作客	65542	20316	2	{v=0}
-111368	信徒	65536	20449	3	{n=3}
-111369	得意洋洋	65536	119232	3	{i=0}
-111370	得意门生	65536	129693	3	{i=1, n=0}
-111371	得步进	83879	144444	1	null
-111372	得步进步	65536	111371	3	{i=0}
-111373	信得	65539	20449	1	null
-111374	得票数	65536	148031	3	{n=0}
-111375	喝西	74025	21917	1	null
-111376	奉天	65536	22857	3	{ns=0}
-111377	得过且	74573	153758	1	null
-111378	娟秀	65536	23071	3	{a=2}
-111379	宁国	79668	23425	2	{ns=0}
-111380	得过且过	65536	111377	3	{i=0}
-111381	容光	76906	23481	1	null
-111382	得道多	90224	153898	1	null
-111383	学术界	65536	146433	3	{n=10}
-111384	偷猎	65638	20599	2	{v=2}
-111385	得道多助	65536	111382	3	{i=0}
-111386	因势	75129	22240	1	null
-111387	作家	65537	20316	2	{n=75}
-111388	得陇望	76829	155422	1	null
-111389	得陇望蜀	65536	111388	3	{i=0}
-111390	低收	65678	20302	1	null
-111391	得鱼忘	79829	157011	1	null
-111392	寓意	65536	23507	3	{n=3, v=1}
-111393	得鱼忘筌	65536	111391	3	{i=0}
-111394	交游	65536	20132	3	{v=0}
-111395	县吏	65536	21439	3	{n=0}
-111396	徘徊	65536	24472	3	{v=18, vn=5}
-111397	修缮	65536	20462	3	{v=3, vn=0}
-111398	名声鹊	65566	135001	1	null
-111399	幕墙	65536	24149	3	{n=0}
-111400	上面	65536	19978	3	{f=35, n=0, s=0}
-111401	徜徉	65536	24476	3	{v=3}
-111402	侧门	65536	20391	3	{n=0}
-111403	御寒衣	65536	114641	3	{n=3}
-111404	剧目	65536	21095	3	{n=56}
-111405	信德	65553	20449	1	null
-111406	委曲	75092	22996	2	{a=0, n=0}
-111407	列编	65536	21015	3	{v=0}
-111408	低效	65536	20302	3	{n=3}
-111409	产钳	65536	20135	3	{n=0}
-111410	希腊字	81283	128487	1	null
-111411	刀斧	65586	20992	1	null
-111412	府发	65536	24220	3	{j=0}
-111413	咕隆	65536	21653	3	{o=0}
-111414	弓弩	85262	24339	1	null
-111415	人地	65550	20154	1	null
-111416	御林军	65536	117654	3	{n=0}
-111417	信心	65556	20449	2	{n=128}
-111418	代购	65536	20195	3	{v=0, vn=0}
-111419	御花园	65536	124592	3	{n=0}
-111420	刚直	68281	21018	2	{a=0}
-111421	减慢	65536	20943	3	{v=1, vn=0}
-111422	凶猛	65536	20982	3	{a=0, ad=0, an=1}
-111423	危旧	66017	21361	1	null
-111424	大幅让	78866	152543	1	null
-111425	常温层	65536	147394	3	{n=0}
-111426	宗室	65536	23447	3	{n=0}
-111427	中景	65536	20013	3	{n=0}
-111428	循序渐	74607	114368	1	null
-111429	寻呼机	65536	115576	3	{n=1}
-111430	导体	65536	23548	3	{n=0}
-111431	循化	65536	24490	3	{ns=0}
-111432	察明	65536	23519	3	{v=0}
-111433	吹打	65536	21561	3	{v=0}
-111434	循序渐进	65536	111428	3	{i=4}
-111435	史无	71816	21490	1	null
-111436	党支	65554	20826	1	null
-111437	循循善诱	65536	111439	3	{i=0}
-111438	人均	65537	20154	2	{b=0, j=128}
-111439	循循善	75612	114651	1	null
-111440	升学	65567	21319	2	{v=4, vn=2}
-111441	冬日	65536	20908	3	{n=4, t=14}
-111442	主殿	65536	20027	3	{n=0}
-111443	乐颠	65538	20048	1	null
-111444	循循诱人	65536	125372	3	{i=0}
-111445	循环不断	65536	111508	3	{l=1}
-111446	卫生所	65536	104874	3	{n=1}
-111447	循环小数	65536	115094	3	{l=0}
-111448	功成	68775	21151	1	null
-111449	依附	65536	20381	3	{v=2, vn=0}
-111450	循环往复	65536	115975	3	{l=2}
-111451	循环系统	65536	123522	3	{l=1}
-111452	党政	66705	20826	2	{j=41, n=13}
-111453	寄出	65536	23492	3	{v=4}
-111454	作对	65536	20316	3	{v=3}
-111455	循规守	85369	125429	1	null
-111456	循规守旧	65536	111455	3	{i=0}
-111457	循规蹈矩	65536	124447	3	{i=1}
-111458	徭役	89140	24493	2	{n=0}
-111459	会标	65536	20250	3	{n=0}
-111460	徭役地	80265	111458	1	null
-111461	中暑	65536	20013	3	{v=0}
-111462	彭城	65536	24429	3	{ns=0}
-111463	属实	65536	23646	3	{a=3, an=0, v=0, vn=1}
-111464	徭役地租	65536	111460	3	{l=0}
-111465	孺子牛	65536	103676	3	{n=0}
-111466	坦率	65536	22374	3	{a=3, ad=1, an=0}
-111467	信念	65536	20449	3	{n=26}
-111468	微不足	74522	138959	1	null
-111469	微不足道	65536	111468	3	{i=4}
-111470	吐穗	65536	21520	3	{v=0}
-111471	弓形	65536	24339	3	{n=0}
-111472	右腿	65536	21491	3	{n=2}
-111473	倒果	66777	20498	1	null
-111474	假根	65536	20551	3	{n=0}
-111475	微乎其	86986	139024	1	null
-111476	乌饭	65538	20044	1	null
-111477	录制	65536	24405	3	{v=4, vn=0}
-111478	布告牌	65536	139170	3	{n=0}
-111479	划着	65536	21010	3	{v=2}
-111480	微乎其微	65536	111475	3	{i=1}
-111481	入党	65536	20837	3	{v=6, vn=2}
-111482	从犯	65536	20174	3	{n=0}
-111483	局域	74924	23616	1	null
-111484	微分方程	65536	114142	3	{l=0}
-111485	向来	65536	21521	3	{d=3}
-111486	产销	65603	20135	2	{n=31, v=0, vn=5}
-111487	云雀	65536	20113	3	{n=1}
-111488	制图	67018	21046	2	{vn=0}
-111489	假案	65536	20551	3	{n=0}
-111490	升官	65565	21319	2	{v=0}
-111491	少不得	65536	127552	3	{l=0}
-111492	博弈	65712	21338	2	{v=0, vn=0}
-111493	云集	65536	20113	3	{v=7, vn=0}
-111494	微分电路	65536	118106	3	{n=0}
-111495	尘寰	65536	23576	3	{n=0}
-111496	序位	65536	24207	3	{n=0}
-111497	叶序	65536	21494	3	{n=0}
-111498	创收	65536	21019	3	{v=4, vn=0}
-111499	微分学	65536	139976	3	{n=0}
-111500	微型化	65536	141389	3	{v=0}
-111501	微处理	89384	141766	1	null
-111502	助桀	68768	21161	1	null
-111503	微循环	65536	143468	3	{n=1}
-111504	微处理器	65536	111501	3	{n=0}
-111505	垂尾	65536	22402	3	{n=0}
-111506	巫婆	65536	24043	3	{n=1}
-111507	微山县	65536	142643	3	{ns=0}
-111508	循环不	85416	119776	1	null
-111509	吟风	69705	21535	1	null
-111510	微微的	65536	143472	3	{z=0}
-111511	微服私	75740	145359	1	null
-111512	尘封	65536	23576	3	{v=3, vn=0}
-111513	弯子	65536	24367	3	{n=0}
-111514	屡次	87699	23649	2	{d=5}
-111515	微服私访	65536	111511	3	{i=1}
-111516	干燥室	65536	160310	3	{n=0}
-111517	微机化	65536	145404	3	{v=1}
-111518	山西省	65536	164678	3	{ns=54}
-111519	微波通信	65536	119635	3	{n=1}
-111520	岸壁	65536	23736	3	{n=0}
-111521	微生物	88127	148961	2	{n=3}
-111522	寄生蟹	65536	120450	3	{n=1}
-111523	实用文	65536	150535	3	{n=0}
-111524	免罪	65536	20813	3	{v=0}
-111525	微生物学	65536	111521	3	{n=0}
-111526	微电子	88130	148983	2	{n=3}
-111527	别无	68478	21035	1	null
-111528	微电子学	65536	111526	3	{n=0}
-111529	佳酿	65536	20339	3	{n=0}
-111530	微积分	65536	150193	3	{n=0}
-111531	微粒显	87101	150868	1	null
-111532	下贱	65536	19979	3	{a=0}
-111533	御侮	65536	24481	3	{v=0}
-111534	微粒显影	65536	111531	3	{n=0}
-111535	微波灶	65536	146852	3	{n=0}
-111536	尺幅	86069	23610	1	null
-111537	亚运	65893	20122	2	{j=0}
-111538	卡亚	67455	21345	1	null
-111539	右臂	65536	21491	3	{n=2}
-111540	微血管	65536	153858	3	{n=0}
-111541	微观世	81518	154244	1	null
-111542	孝敬	65536	23389	3	{v=4, vn=1}
-111543	幕天	84902	24149	1	null
-111544	吹拂	65536	21561	3	{v=1, vn=0}
-111545	式微	65536	24335	3	{v=0}
-111546	微观世界	65536	111541	3	{l=0}
-111547	供销	65635	20379	2	{n=3, vn=1}
-111548	微观粒子	65536	123441	3	{n=0}
-111549	云雾	65536	20113	3	{n=3}
-111550	尿样	65536	23615	3	{n=7}
-111551	微言大	91515	154306	1	null
-111552	唯有	65536	21807	3	{c=0, v=8}
-111553	尼龙布	65536	130642	3	{n=0}
-111554	微波炉	65536	146852	3	{n=2}
-111555	云霄	65536	20113	3	{n=0, ns=0, nz=0}
-111556	微言大义	65536	111551	3	{i=0}
-111557	弥合	65536	24357	3	{v=3, vn=0}
-111558	微重力	65536	156303	3	{n=2}
-111559	不然	65536	19981	3	{a=0, c=10, v=1}
-111560	光光	65536	20809	3	{z=0}
-111561	将官	65536	23558	3	{n=0}
-111562	安全区	65536	147108	3	{n=3}
-111563	入冬	65536	20837	3	{v=19}
-111564	塑料纸	65536	104727	3	{n=0}
-111565	屏幕	65536	23631	3	{n=26}
-111566	市政府	65536	141319	3	{n=115}
-111567	居功自恃	65536	120855	3	{i=0}
-111568	微量元	79539	156305	1	null
-111569	孝文	79347	23389	1	null
-111570	中曾	65536	20013	3	{nr=0}
-111571	微量元素	65536	111568	3	{l=2, n=0}
-111572	微音器	65536	157877	3	{n=0}
-111573	帕拉	69352	24085	1	null
-111574	德令哈	65536	135207	3	{n=0}
-111575	德保县	65536	135456	3	{ns=0}
-111576	准线	65536	20934	3	{n=1}
-111577	德克萨	85547	135822	1	null
-111578	德克萨斯	65536	111577	3	{n=0}
-111579	农专	65536	20892	3	{j=4}
-111580	噪音	65536	22122	3	{n=4}
-111581	云霞	65536	20113	3	{n=1}
-111582	德农厅	65536	135903	3	{ns=0}
-111583	孟加拉湾	65536	103445	3	{n=0}
-111584	太阳党	65536	134229	3	{n=4}
-111585	中服	65536	20013	3	{nz=1}
-111586	农业	68639	20892	2	{n=709}
-111587	卡介	65537	21345	1	null
-111588	宁城	82296	23425	2	{ns=3}
-111589	信息	67924	20449	2	{n=379}
-111590	偏激	65536	20559	3	{a=0, an=0}
-111591	参与	66507	21442	2	{v=212, vn=21}
-111592	德勒维	88021	136213	1	null
-111593	德勒维尔	65536	111592	3	{n=0}
-111594	寂然	65536	23490	3	{z=0}
-111595	二花	65539	20108	1	null
-111596	德城区	65536	137489	3	{ns=0}
-111597	德士古	65536	137774	3	{nz=3}
-111598	德宏州	65536	138450	3	{ns=0}
-111599	德州市	65536	139041	3	{ns=0}
-111600	德惠市	65536	139811	3	{ns=0}
-111601	德意志	78750	139858	2	{ns=2}
-111602	德意志联	74575	111601	1	null
-111603	中期	65536	20013	3	{f=25, n=0, t=0}
-111604	党旗	65536	20826	3	{n=2}
-111605	德意志联邦	90758	111602	1	null
-111606	别是	65536	21035	3	{d=0}
-111607	德意志联邦共	89965	111605	1	null
-111608	农丰	65578	20892	2	{ns=0}
-111609	德意志联邦共和	89341	111607	1	null
-111610	德意志联邦共和国	65536	111609	3	{ns=0}
-111611	德才兼	88826	140176	1	null
-111612	八月	65542	20843	2	{t=8}
-111613	尿桶	65536	23615	3	{n=0}
-111614	北京鸭	65536	122205	3	{n=0}
-111615	体校	65536	20307	3	{n=1}
-111616	录音带	65536	129330	3	{n=2}
-111617	德才兼备	65536	111611	3	{i=4}
-111618	冬暖	65564	20908	1	null
-111619	岛弧	65536	23707	3	{n=0}
-111620	创新	65536	21019	3	{nz=0, v=111, vn=1}
-111621	壳质	65536	22771	3	{n=0}
-111622	峰峦	65536	23792	3	{n=0}
-111623	塑料绳	65536	104727	3	{n=0}
-111624	德拉瓦	88053	140300	1	null
-111625	德拉瓦尔	83802	111624	1	null
-111626	便笺	65536	20415	3	{n=0}
-111627	孔雀绿	65536	120971	3	{n=0}
-111628	准绳	65536	20934	3	{n=0}
-111629	德拉瓦尔河	65536	111625	3	{ns=0}
-111630	德文版	65536	141002	3	{b=0}
-111631	宗山	65536	23447	3	{ns=0}
-111632	峰峰	65536	23792	3	{nz=0}
-111633	尺度	65536	23610	3	{n=4}
-111634	倒栽	65537	20498	1	null
-111635	博得	65536	21338	3	{v=10}
-111636	卫辉	67062	21355	2	{ns=1}
-111637	德昂族	65536	141125	3	{nz=2}
-111638	德智体	65536	141245	3	{j=0}
-111639	弦切	75380	24358	1	null
-111640	刑释	65555	21009	1	null
-111641	咸肉	65536	21688	3	{n=1}
-111642	体格	65536	20307	3	{n=0}
-111643	势能	65536	21183	3	{n=0}
-111644	八木	67278	20843	1	null
-111645	宿舍楼	65536	127669	3	{n=3}
-111646	德比斯	65536	142615	3	{nz=0}
-111647	德涅斯	82343	143048	1	null
-111648	德涅斯特	83822	111647	1	null
-111649	德涅斯特河	65536	111648	3	{ns=0}
-111650	够朋	78139	22815	1	null
-111651	中杏	65536	20013	3	{nz=0}
-111652	客运段	65536	144731	3	{n=1}
-111653	中村	65536	20013	3	{nr=1}
-111654	德班港	65536	144688	3	{ns=2}
-111655	德累斯	72617	147058	1	null
-111656	德累斯顿	65536	111655	3	{ns=0}
-111657	幅度	65536	24133	3	{n=62}
-111658	德育课	65536	147957	3	{n=1}
-111659	德艺双	72324	148413	1	null
-111660	德艺双馨	65536	111659	3	{i=0, l=3}
-111661	德薄能	71571	149191	1	null
-111662	堆肥	65536	22534	3	{n=0}
-111663	德薄能鲜	65536	111661	3	{i=0}
-111664	德阳市	65536	153462	3	{ns=2}
-111665	姜片	68421	23004	1	null
-111666	德雷克	65536	153658	3	{nr=6, ns=1}
-111667	因变	70198	22240	1	null
-111668	善变	65536	21892	3	{a=0}
-111669	中条	65543	20013	1	null
-111670	入列	65536	20837	3	{v=0}
-111671	德高望	74347	154651	1	null
-111672	德高望重	65536	111671	3	{i=3}
-111673	德黑兰	65536	155668	3	{ns=16}
-111674	书法	65600	20070	2	{n=37}
-111675	刚石	65536	21018	3	{n=0}
-111676	心上人	65536	159738	3	{n=1}
-111677	心不在	82741	159741	1	null
-111678	心不在焉	65536	111677	3	{i=1}
-111679	心中无	85712	159773	1	null
-111680	心中无数	65536	111679	3	{i=0}
-111681	心中有数	65536	111976	3	{i=2}
-111682	心乱如	71050	159841	1	null
-111683	够本	65536	22815	3	{v=0}
-111684	中杰	65536	20013	3	{nr=0}
-111685	心乱如麻	65536	111682	3	{i=0}
-111686	主河	65548	20027	1	null
-111687	下跌	65537	19979	2	{v=113, vn=12}
-111688	壮健	65536	22766	3	{a=1}
-111689	心事重	74365	159867	1	null
-111690	心事重重	65536	111689	3	{i=0}
-111691	心余力	79232	160073	1	null
-111692	心余力绌	65536	111691	3	{l=0}
-111693	乳齿	65536	20083	3	{n=0}
-111694	主治	65596	20027	2	{vn=0}
-111695	心力交	81491	160907	1	null
-111696	化学	85572	21270	2	{n=36}
-111697	寓所	65536	23507	3	{n=2}
-111698	上颌	65536	19978	3	{n=0}
-111699	农事	65536	20892	3	{n=0}
-111700	心力交瘁	65536	111695	3	{i=0}
-111701	心力衰竭	65536	126491	3	{n=0}
-111702	心功能	65536	160911	3	{n=1}
-111703	心劳日	86399	160931	1	null
-111704	心劳日拙	65536	111703	3	{i=0}
-111705	心包炎	65536	161013	3	{n=0}
-111706	多义词	65536	140740	3	{n=0}
-111707	大师级	65536	152482	3	{b=1}
-111708	哥白	71093	21733	1	null
-111709	吹捧	65536	21561	3	{v=0, vn=0}
-111710	心口不一	65536	111711	3	{i=0}
-111711	心口不	91742	161235	1	null
-111712	上颚	65536	19978	3	{n=0}
-111713	心口如一	65536	114644	3	{i=0}
-111714	将就	65536	23558	3	{v=1}
-111715	兴头	65536	20852	3	{n=1}
-111716	参事	65536	21442	3	{n=8}
-111717	下跪	65536	19979	3	{v=0}
-111718	产门	65536	20135	3	{n=0}
-111719	卡住	65536	21345	3	{v=0}
-111720	开发办	65536	160664	3	{j=2}
-111721	心同此	82022	161276	1	null
-111722	善后	65536	21892	3	{n=0, vn=0}
-111723	划破	65536	21010	3	{v=2}
-111724	心同此理	65536	111721	3	{l=0}
-111725	余生	65536	20313	3	{n=0}
-111726	山山水	80044	153144	1	null
-111727	农产	66231	20892	1	null
-111728	中果	65537	20013	1	null
-111729	心头病	65536	162596	3	{n=0}
-111730	安居梦	65536	149889	3	{n=0}
-111731	心如刀割	65536	111737	3	{i=0}
-111732	塑胶	65536	22609	3	{n=1}
-111733	依靠	65536	20381	3	{c=0, n=0, p=2, v=102, vn=2}
-111734	中枢	65539	20013	2	{n=5}
-111735	年产奶	65536	148866	3	{n=0}
-111736	唱戏	65536	21809	3	{v=4, vn=0}
-111737	心如刀	90625	162674	1	null
-111738	兴奋	66604	20852	2	{a=9, an=3, v=17, vn=0}
-111739	屏弃	65536	23631	3	{v=0}
-111740	弊端	65536	24330	3	{n=15}
-111741	坚不	75812	22362	1	null
-111742	心如死灰	65536	118260	3	{i=0}
-111743	心安理	87273	163193	1	null
-111744	心安理得	65536	111743	3	{i=0}
-111745	心宽体	78764	163245	1	null
-111746	心宽体胖	65536	111745	3	{i=0}
-111747	岗子	65536	23703	3	{n=0}
-111748	倒梯	65541	20498	1	null
-111749	唯物辩	65760	114464	1	null
-111750	免职	65536	20813	3	{v=6, vn=0}
-111751	心平气	90110	163939	1	null
-111752	使领	65538	20351	1	null
-111753	待产室	65536	121802	3	{n=0}
-111754	心平气和	65536	111751	3	{i=1}
-111755	心广体	78776	163951	1	null
-111756	叛逃	65536	21467	3	{v=0}
-111757	得不到	65536	136932	3	{v=1}
-111758	心广体胖	65536	111755	3	{i=0}
-111759	叛逆	65536	21467	3	{n=0, vn=0}
-111760	心心相	90407	164275	1	null
-111761	对口词	65536	145950	3	{n=0}
-111762	危机	68939	21361	2	{n=316}
-111763	心志术	91774	164295	1	null
-111764	上风	65536	19978	3	{j=2, n=2, nz=9}
-111765	弥勒县	65536	111247	3	{ns=0}
-111766	幻化	65536	24187	3	{v=2}
-111767	心心相印	65536	111760	3	{i=2}
-111768	心志术业	80083	111763	1	null
-111769	奠基石	65536	101220	3	{n=0}
-111770	心志术业篇	65536	111768	3	{n=1}
-111771	心怀叵	83798	164336	1	null
-111772	停滞	67377	20572	2	{v=5, vn=5}
-111773	化害	68863	21270	1	null
-111774	体检	65543	20307	2	{v=2, vn=0}
-111775	处女膜	65536	122139	3	{n=0}
-111776	人墙	65536	20154	3	{n=0}
-111777	心怀叵测	65536	111771	3	{i=0}
-111778	心急如	83000	164373	1	null
-111779	心急如火	65536	111778	3	{l=0}
-111780	侧面	65566	20391	2	{f=18}
-111781	心急火燎	65536	117643	3	{i=0}
-111782	心悦诚	85402	164502	1	null
-111783	心悦诚服	65536	111782	3	{i=0}
-111784	命根	70927	21629	2	{n=0}
-111785	心惊肉	75447	164538	1	null
-111786	心惊肉跳	65536	111785	3	{i=0}
-111787	农代	67680	20892	1	null
-111788	心惊胆战	65536	111846	3	{i=1}
-111789	实心球	65536	145058	3	{n=0}
-111790	坏绅	65536	22351	3	{n=1}
-111791	乌骨	65536	20044	1	null
-111792	封建把	83749	133191	1	null
-111793	再行	65536	20877	3	{d=1}
-111794	局外	87364	23616	2	{n=0}
-111795	共犯	65536	20849	3	{n=0, v=0}
-111796	心想事	86693	164579	1	null
-111797	心想事成	65536	111796	3	{i=0}
-111798	卖国	65606	21334	2	{v=0, vn=0}
-111799	命案	65536	21629	3	{n=0}
-111800	心慈手	75083	164664	1	null
-111801	寄卖	65536	23492	3	{v=0}
-111802	心慈手软	65536	111800	3	{i=1}
-111803	刀术	65536	20992	3	{n=2}
-111804	心慈面软	65536	125391	3	{i=0}
-111805	巴黎市	65536	163629	3	{ns=0}
-111806	心慌意	91726	164668	1	null
-111807	心慌意乱	65536	111806	3	{i=0}
-111808	冲撞	65536	20914	3	{v=0, vn=0}
-111809	心无二	81822	165840	1	null
-111810	切断	65536	20999	3	{v=6}
-111811	卷子	65536	21367	3	{n=0, nr=0}
-111812	寄卡	85817	23492	1	null
-111813	兴妖	67348	20852	1	null
-111814	心无二用	65536	111809	3	{i=0}
-111815	心旷神	87207	165863	1	null
-111816	心旷神怡	65536	111815	3	{i=2}
-111817	心明如	73582	165886	1	null
-111818	心明如镜	65536	111817	3	{l=1}
-111819	心明眼亮	65536	119427	3	{i=0}
-111820	光前	65536	20809	1	null
-111821	心有余	87063	166137	1	null
-111822	心有余而力	91845	119843	1	null
-111823	心有余悸	65536	111821	3	{i=4}
-111824	别有	65759	21035	1	null
-111825	市中心	65536	135413	3	{s=22}
-111826	心有余而力不	75552	111822	1	null
-111827	心有余而力不足	65536	111826	3	{i=1, n=0}
-111828	主流	65538	20027	2	{n=13}
-111829	再衰	67778	20877	1	null
-111830	始发站	65536	106350	3	{n=0}
-111831	号数	65536	21495	3	{n=0}
-111832	心服口	85452	166141	1	null
-111833	心服口服	65536	111832	3	{i=1, l=0}
-111834	循环体	65536	119776	3	{n=0}
-111835	中标	65536	20013	3	{v=6, vn=0}
-111836	书海	65536	20070	3	{n=0}
-111837	勾通	65536	21246	3	{v=0}
-111838	卫道	68368	21355	1	null
-111839	心术不	84350	166175	1	null
-111840	产院	65536	20135	3	{n=1}
-111841	心术不正	65536	111839	3	{i=0}
-111842	农会	65536	20892	3	{n=0}
-111843	中栏	65536	20013	3	{n=0}
-111844	幸喜	65536	24184	3	{d=0}
-111845	心浮气	90689	167774	1	null
-111846	心惊胆	86676	164538	1	null
-111847	产险	65536	20135	3	{j=1}
-111848	安全员	65536	147108	3	{n=0}
-111849	心浮气动	65536	111845	3	{l=1}
-111850	心满意	75576	168145	1	null
-111851	心满意足	65536	111850	3	{i=1}
-111852	协议	70789	21327	2	{n=154, v=3, vd=1, vn=2}
-111853	屠戮	65536	23648	3	{v=0}
-111854	心潮澎湃	65536	111857	3	{i=1}
-111855	心潮翻腾	65536	116062	3	{l=0}
-111856	参众	71359	21442	1	null
-111857	心潮澎	83627	168286	1	null
-111858	人士	65536	20154	3	{n=164}
-111859	参会	65707	21442	2	{v=0}
-111860	工程师	65536	160347	3	{n=25}
-111861	中校	65536	20013	3	{n=0}
-111862	屠户	65536	23648	3	{n=1}
-111863	人声	65538	20154	2	{n=1}
-111864	心潮起伏	65536	119514	3	{i=0}
-111865	心潮难平	65536	121889	3	{l=2}
-111866	心灰意	90948	168544	1	null
-111867	心灰意冷	65536	111866	3	{i=1}
-111868	心灵手	87830	168549	1	null
-111869	心灵手巧	65536	111868	3	{i=0}
-111870	庄稼地	65536	121162	3	{n=1}
-111871	心烦意	91792	168662	1	null
-111872	廉吏	65536	24265	3	{n=2}
-111873	心烦意乱	65536	111871	3	{i=1}
-111874	心照不	88416	168791	1	null
-111875	心照不宣	65536	111874	3	{i=1}
-111876	开发区	65536	160664	3	{n=36}
-111877	心狠手	75107	169168	1	null
-111878	心狠手辣	65536	111877	3	{i=0}
-111879	心猿意	72354	169263	1	null
-111880	壬申	65536	22764	3	{m=0}
-111881	六边	65547	20845	1	null
-111882	卷宗	65536	21367	3	{n=1}
-111883	广电局	65536	153893	3	{j=0}
-111884	中核	65538	20013	1	null
-111885	岁寒	87906	23681	1	null
-111886	心猿意马	65536	111879	3	{i=0}
-111887	冰上	65536	20912	3	{n=0}
-111888	心理学	65536	169462	3	{n=3}
-111889	修脚	65623	20462	2	{v=0}
-111890	心甘情	86996	169736	1	null
-111891	心甘情愿	65536	111890	3	{i=2}
-111892	利好	65536	21033	3	{a=1}
-111893	录取	65536	24405	3	{v=11, vn=3}
-111894	心电图	65536	169765	3	{n=0}
-111895	心痛病	65536	169931	3	{n=1}
-111896	心直口	87344	170212	1	null
-111897	五步	65536	20116	1	null
-111898	司机	65536	21496	3	{n=69}
-111899	心直口快	65536	111896	3	{i=0}
-111900	准考	65644	20934	1	null
-111901	心神不	88516	170830	1	null
-111902	心绞痛	65536	172238	3	{n=2}
-111903	先手	65536	20808	3	{n=1}
-111904	大锅饭	65536	166559	3	{n=7}
-111905	人多	65551	20154	1	null
-111906	小康村	65536	161983	3	{n=6}
-111907	心窝儿	65536	171149	3	{n=0}
-111908	农作	65548	20892	1	null
-111909	宁夏	65536	23425	3	{ns=57}
-111910	下身	65536	19979	3	{n=0}
-111911	心肌梗塞	65536	111921	3	{n=2}
-111912	以火	65538	20197	1	null
-111913	偷生	65536	20599	3	{v=0}
-111914	厂房	65536	21378	3	{n=19}
-111915	天下第	80435	148251	1	null
-111916	别来	65703	21035	1	null
-111917	心肝宝	75794	172685	1	null
-111918	人大	65979	20154	2	{j=138}
-111919	心肝宝贝	65536	111917	3	{n=0}
-111920	心胆俱	76913	172726	1	null
-111921	心肌梗	89289	172668	1	null
-111922	人夫	65536	20154	3	{n=0}
-111923	心胆俱裂	65536	111920	3	{i=0}
-111924	心脏病	65536	172799	3	{n=11}
-111925	云顶	65536	20113	1	null
-111926	刀枪	68195	20992	2	{n=2}
-111927	中档	65536	20013	3	{b=1}
-111928	床头灯	65536	112567	3	{n=0}
-111929	中桥	65536	20013	3	{n=1, nz=5}
-111930	寺沟	86420	23546	1	null
-111931	人头	65543	20154	2	{n=7}
-111932	上饶	65542	19978	2	{ns=2}
-111933	年老多	79278	161500	1	null
-111934	心脑血	80293	172801	1	null
-111935	偷电	65536	20599	3	{v=1, vn=1}
-111936	不犯	65536	19981	3	{d=0}
-111937	协调	68999	21327	2	{a=21, ad=25, an=3, v=76, vd=0, vn=24}
-111938	刀架	65536	20992	3	{n=0}
-111939	庚午	65536	24218	3	{b=0, m=0}
-111940	已往	65536	24050	3	{t=0}
-111941	心神不宁	65536	111901	3	{i=0}
-111942	心脑血管	81795	111934	2	{n=1}
-111943	副性	65818	21103	1	null
-111944	心脑血管病	65536	111942	3	{n=2}
-111945	心腹之	87207	172905	1	null
-111946	心腹之患	65536	111945	3	{i=1}
-111947	心花怒	86032	173217	1	null
-111948	上馆	65550	19978	1	null
-111949	心神不安	65536	111901	3	{l=0}
-111950	心花怒放	65536	111947	3	{i=0}
-111951	嘉手	65836	22025	1	null
-111952	刀柄	65536	20992	3	{n=0}
-111953	心血来潮	65536	111958	3	{i=1}
-111954	心急如焚	65536	111778	3	{i=2}
-111955	够格	65536	22815	3	{a=1}
-111956	心连心	65536	176590	3	{l=14}
-111957	交火	65536	20132	3	{v=0, vn=0}
-111958	心血来	83427	174640	1	null
-111959	孝服	65536	23389	3	{n=0}
-111960	导入	65536	23548	3	{v=3, vn=0}
-111961	心醉神迷	65536	111970	3	{i=0}
-111962	假模	66782	20551	1	null
-111963	副总	65536	21103	3	{j=0, n=1}
-111964	上首	65536	19978	3	{f=0}
-111965	布里斯	79114	154916	1	null
-111966	心神不定	65536	111901	3	{i=1}
-111967	心醉魂迷	65536	120646	3	{i=0}
-111968	冬柴	65536	20908	3	{nr=0}
-111969	元气	65536	20803	3	{n=2}
-111970	心醉神	75106	177017	1	null
-111971	心里有	86007	177084	1	null
-111972	减掉	65536	20943	3	{v=0}
-111973	宛然	65536	23451	3	{vd=0}
-111974	奖掖	65536	22870	3	{v=0}
-111975	心里有数	65536	111971	3	{l=1}
-111976	心中有	85713	159773	1	null
-111977	心静如	84284	178505	1	null
-111978	庚卯	65536	24218	3	{m=0}
-111979	垂帘	75842	22402	1	null
-111980	徽剧	65536	24509	3	{n=0}
-111981	季父	65536	23395	3	{n=0}
-111982	屈就	65536	23624	3	{v=0}
-111983	咖啡碱	65536	94507	3	{n=0}
-111984	心静如水	65536	111977	3	{l=1}
-111985	心领神	91736	178806	1	null
-111986	心领神会	65536	111985	3	{i=0}
-111987	心驰神	87540	179296	1	null
-111988	心驰神往	65536	111987	3	{i=1}
-111989	心黑手	75224	180417	1	null
-111990	小型机	65536	160147	3	{n=0}
-111991	嬉皮笑	70172	108615	1	null
-111992	姑夫	65536	22993	3	{n=0}
-111993	岁尾	65536	23681	3	{t=3}
-111994	姑息疗	74892	113852	1	null
-111995	心黑手辣	65536	111989	3	{l=0}
-111996	必不可	88443	117022	1	null
-111997	不独	65536	19981	3	{c=3, v=0}
-111998	嫩生	73263	23273	1	null
-111999	必也正	90497	117104	1	null
-112000	娘娘腔	65536	105388	3	{n=0}
-112001	垃圾车	65536	97441	3	{n=0}
-112002	屈居	65536	23624	3	{v=1}
-112003	嫌疑	83073	23244	2	{n=9}
-112004	坡道	65536	22369	3	{n=0}
-112005	冲散	65536	20914	3	{v=0}
-112006	五毒	65663	20116	2	{n=0}
-112007	亲身	65536	20146	3	{b=3, d=5}
-112008	使馆	65536	20351	3	{n=31}
-112009	制备	65536	21046	3	{v=0}
-112010	妇产科	65536	112013	3	{n=2}
-112011	堂弟	65536	22530	3	{n=0}
-112012	必不可少	65536	111996	3	{l=10}
-112013	妇产	80825	22919	1	null
-112014	必也正名	65536	111999	3	{i=0}
-112015	依顺	65536	20381	3	{v=0}
-112016	必争之	89698	117146	1	null
-112017	厚望	65536	21402	3	{n=6}
-112018	必争之地	65536	112016	3	{n=0}
-112019	平方尺	65536	157979	3	{q=0}
-112020	必修课	65536	117503	3	{n=3}
-112021	光化	67122	20809	1	null
-112022	场上	65536	22330	3	{s=5}
-112023	场下	65536	22330	3	{f=0, s=1}
-112024	必先利	91171	117849	1	null
-112025	必先利其	89909	112024	1	null
-112026	崇拜	75267	23815	2	{v=6, vn=1}
-112027	廉洁奉	89174	118258	1	null
-112028	很小	65536	24456	3	{a=0}
-112029	必先利其器	65536	112025	3	{i=1}
-112030	必恭必	86067	121726	1	null
-112031	必恭必敬	65536	112030	3	{i=0}
-112032	妇人	65536	22919	3	{n=0}
-112033	劳工	65573	21171	2	{n=1}
-112034	当地化	65536	152576	3	{v=0}
-112035	交点	65536	20132	3	{n=0}
-112036	干戈扰	83197	156249	1	null
-112037	必然王国	65536	117010	3	{n=0}
-112038	宗师	65536	23447	3	{n=0}
-112039	必由之	75706	127042	1	null
-112040	先拔	65655	20808	1	null
-112041	必由之路	65536	112039	3	{i=12}
-112042	厚朴	65536	21402	3	{n=0}
-112043	兵操	65536	20853	3	{n=0}
-112044	天然碱	65536	157254	3	{n=0}
-112045	卷尺	65536	21367	3	{n=0}
-112046	必然性	65536	126023	3	{n=3}
-112047	员额	65536	21592	3	{n=0}
-112048	必要产	90353	132242	1	null
-112049	卷尾	65536	21367	1	null
-112050	必要产品	65536	112048	3	{l=0}
-112051	主渠	65549	20027	1	null
-112052	必要劳动	65536	113084	3	{l=0}
-112053	卷层	71108	21367	1	null
-112054	必要条件	65536	118378	3	{l=5}
-112055	实业界	65536	140537	3	{n=2}
-112056	品头	65757	21697	1	null
-112057	基建队	65536	129655	3	{j=0}
-112058	必需品	65536	135697	3	{n=6}
-112059	供需	65536	20379	3	{n=1, vn=0}
-112060	岁岁	83708	23681	1	null
-112061	巫山	86914	24043	2	{ns=2}
-112062	忆苦思甜	65536	112066	3	{l=0}
-112063	忌妒心	65536	113657	3	{n=0}
-112064	刺探	65536	21050	3	{v=1}
-112065	信手	65536	20449	2	{d=1, v=0}
-112066	忆苦思	82082	124168	1	null
-112067	姑奶	79835	22993	1	null
-112068	劳师	67646	21171	1	null
-112069	委任状	65536	105271	3	{n=0}
-112070	忍不住	65536	113138	3	{v=6}
-112071	场主	65536	22330	3	{n=0}
-112072	全世	65570	20840	1	null
-112073	妇代	81881	22919	1	null
-112074	岳家	65536	23731	3	{n=0}
-112075	忍俊不	80971	113583	1	null
-112076	忍俊不禁	65536	112075	3	{i=1}
-112077	光华	65536	20809	3	{n=2, nz=0}
-112078	信托	65536	20449	3	{b=4, n=0}
-112079	忍无可	87555	119237	1	null
-112080	忍无可忍	65536	112079	3	{i=0}
-112081	姑妄	81198	22993	1	null
-112082	忍气吞	89322	120825	1	null
-112083	东钱	65538	19996	1	null
-112084	峡江	65536	23777	3	{ns=1}
-112085	姑妈	65536	22993	3	{n=2}
-112086	屁股	65536	23617	3	{n=4}
-112087	屯扎	65536	23663	3	{v=1}
-112088	别树	68623	21035	1	null
-112089	层报	65536	23618	3	{v=0}
-112090	忍气吞声	65536	112082	3	{i=0}
-112091	地方病	65536	142360	3	{n=0}
-112092	居中	65536	23621	3	{v=2, vn=0}
-112093	忍痛割	82861	123328	1	null
-112094	忍痛割爱	65536	112093	3	{i=1}
-112095	忍耐力	65536	125941	3	{n=1}
-112096	年年月	83021	152911	1	null
-112097	下车	65536	19979	2	{v=10, vn=0}
-112098	奠基礼	65536	101220	3	{n=2}
-112099	光卤	65539	20809	1	null
-112100	忍辱求	91261	129942	1	null
-112101	忍辱求全	65536	112100	3	{i=0}
-112102	工程建	72436	160347	1	null
-112103	屏息	65536	23631	3	{v=1, vd=0}
-112104	忍辱负重	65536	120513	3	{i=0}
-112105	代远	65558	20195	1	null
-112106	忏悔	65536	24527	3	{v=3, vn=3}
-112107	忐忑	92129	24528	2	{a=0}
-112108	忆及	65536	24518	3	{v=2}
-112109	导出	65536	23548	3	{v=1}
-112110	忐忑不	88678	112107	1	null
-112111	忐忑不安	65536	112110	3	{i=1}
-112112	升帆	65536	21319	3	{v=0}
-112113	忖度	65536	24534	3	{v=0}
-112114	志丹县	65536	114844	3	{ns=0}
-112115	志同道	90605	116335	1	null
-112116	密码机	65536	140377	3	{n=0}
-112117	志同道合	79348	112115	2	{i=1}
-112118	县团	65766	21439	1	null
-112119	低栏	65536	20302	3	{n=0}
-112120	下载	65536	19979	3	{v=1}
-112121	志同道合者	65536	112117	3	{n=1}
-112122	志在千里	65536	112124	3	{i=1}
-112123	庄园	89653	24196	2	{n=17}
-112124	志在千	74798	117131	1	null
-112125	志在必得	65536	115326	3	{i=0}
-112126	别样	65536	21035	3	{a=0, r=2}
-112127	开放式	65536	165125	3	{b=0, n=2}
-112128	志士仁	91975	117582	1	null
-112129	志士仁人	65536	112128	3	{i=0}
-112130	入口	65718	20837	2	{n=1, v=0, vn=0}
-112131	下辈	65551	19979	2	{n=0}
-112132	作废	65536	20316	3	{v=5, vn=0}
-112133	志大才	82040	117642	1	null
-112134	历经	65538	21382	2	{v=12}
-112135	志大才疏	65536	112133	3	{i=0}
-112136	弧圈	80973	24359	1	null
-112137	度夏	65536	24230	3	{vn=1}
-112138	光压	65536	20809	3	{n=0}
-112139	剧种	65536	21095	3	{n=4}
-112140	太阳历	65536	134229	3	{n=2}
-112141	志存高	75320	118203	1	null
-112142	固有	65536	22266	3	{a=1, b=5}
-112143	定时炸	81027	148697	1	null
-112144	妃色	65536	22915	3	{n=0}
-112145	下辖	65536	19979	3	{v=2}
-112146	关本	65536	20851	3	{nr=0}
-112147	全乡	65536	20840	3	{n=9}
-112148	志存高远	65536	112141	3	{l=1}
-112149	志得意	83766	119290	1	null
-112150	冷不	68063	20919	1	null
-112151	志得意满	65536	112149	3	{i=0}
-112152	全书	65536	20840	3	{n=10}
-112153	志愿兵制	65536	112937	3	{n=1}
-112154	志愿书	65536	119714	3	{n=0}
-112155	信报	65537	20449	1	null
-112156	志留系	65536	124860	3	{n=0}
-112157	忘不了	65536	112751	3	{v=0}
-112158	姑姑	65536	22993	3	{n=3}
-112159	忘乎所	91966	112816	1	null
-112160	关机	65536	20851	3	{v=0}
-112161	录像厅	65536	111118	3	{n=0}
-112162	催逼	65536	20652	3	{v=0}
-112163	忘乎所以	65536	112159	3	{i=2}
-112164	忘年之交	65536	112192	3	{i=1}
-112165	忘恩负	92126	117451	1	null
-112166	再见	65536	20877	3	{v=5}
-112167	忘恩负义	65536	112165	3	{i=0}
-112168	忘我工	91854	117875	1	null
-112169	停火	65536	20572	3	{v=0, vn=0}
-112170	忘我工作	65536	112168	3	{l=2}
-112171	忙不迭	65536	112414	3	{d=2}
-112172	升幂	65536	21319	3	{n=0}
-112173	巫峡	70141	24043	2	{n=0}
-112174	床垫	65536	24202	3	{n=0}
-112175	升幅	65536	21319	3	{n=4}
-112176	从略	65536	20174	3	{v=0}
-112177	冲昏	65726	20914	1	null
-112178	上马	65536	19978	3	{v=2, vn=0}
-112179	停灵	65536	20572	3	{v=0}
-112180	下边	65536	19979	3	{f=5}
-112181	忙忙碌	81326	116970	1	null
-112182	将帅	65536	23558	3	{n=1}
-112183	宗庙	65536	23447	3	{n=0}
-112184	国际歌	65536	153124	3	{n=0}
-112185	下达	65536	19979	3	{v=14, vn=0}
-112186	忙忙碌碌	65536	112181	3	{z=2}
-112187	忙里偷	73805	129757	1	null
-112188	凉白	65548	20937	1	null
-112189	居于	65536	23621	3	{v=4}
-112190	党校	65536	20826	3	{n=31}
-112191	忙里偷闲	65536	112187	3	{i=0}
-112192	忘年之	92032	116950	1	null
-112193	忠厚老	88740	120170	1	null
-112194	忠厚老实	65536	112193	3	{l=0}
-112195	忠孝不	79176	122157	1	null
-112196	减摩	66567	20943	1	null
-112197	忠孝不能	92194	112195	1	null
-112198	忠孝不能两	91359	112197	1	null
-112199	忠孝不能两全	65536	112198	3	{i=0}
-112200	尚家	84457	23578	1	null
-112201	忠实笃	77312	122222	1	null
-112202	忌口	65536	24524	3	{v=0}
-112203	低档	65536	20302	3	{b=2}
-112204	忠实笃行	65536	112201	3	{i=0}
-112205	忠心耿	79375	123283	1	null
-112206	忠心耿耿	65536	112205	3	{i=0}
-112207	忠肝义	79245	131693	1	null
-112208	失之空	73060	138558	1	null
-112209	坚信	77320	22362	2	{v=11, vn=0}
-112210	序列	65536	24207	3	{n=6}
-112211	忠肝义胆	65536	112207	3	{i=0}
-112212	忠言逆	79394	134096	1	null
-112213	忠言逆耳	65536	112212	3	{i=0}
-112214	庙堂	65536	24217	3	{n=0}
-112215	偏爱	65536	20559	3	{v=4, vn=0}
-112216	忠诚度	65536	134570	3	{n=0}
-112217	忠贞不	92112	134894	1	null
-112218	去污	70300	21435	1	null
-112219	忤逆	92241	24548	1	null
-112220	忠贞不二	65536	112217	3	{l=0}
-112221	升平	65536	21319	3	{a=1}
-112222	忤逆不	88834	112219	1	null
-112223	忤逆不孝	65536	112222	3	{l=1}
-112224	坦白	77192	22374	2	{a=0, v=2}
-112225	呼叫	72123	21628	2	{v=0, vn=0}
-112226	岩心	65536	23721	3	{n=0}
-112227	地图集	65536	138589	3	{n=0}
-112228	巷战	65536	24055	3	{v=0}
-112229	姑娘	79271	22993	2	{n=44}
-112230	工商局	65536	150934	3	{j=0, n=31}
-112231	小熊猫	65536	166802	3	{n=0}
-112232	忧国忧	84569	116573	1	null
-112233	作弄	65536	20316	3	{v=0}
-112234	忧国忧民	65536	112232	3	{i=0}
-112235	忧心如	83286	118819	1	null
-112236	全人	65542	20840	1	null
-112237	呼号	65536	21628	3	{n=1, v=1}
-112238	垃圾道	65536	97441	3	{n=1}
-112239	作弊	65536	20316	3	{v=2, vn=2}
-112240	忧心如焚	65536	112235	3	{i=1}
-112241	保护	72460	20445	2	{n=1, v=154, vn=122}
-112242	忧心忡忡	65536	113866	3	{i=1}
-112243	吸毒	65841	21560	2	{v=3, vn=9}
-112244	律动	65536	24459	3	{n=1, v=0, vn=0}
-112245	忧患与	91397	119043	1	null
-112246	忧患与共	65536	112245	3	{i=0}
-112247	呼吁	74176	21628	2	{v=98, vn=15}
-112248	快中子	65536	137281	3	{n=1}
-112249	升序	65536	21319	3	{n=0}
-112250	快人快	76431	137422	1	null
-112251	嘴边	65536	22068	3	{s=3}
-112252	快人快语	65536	112250	3	{i=0}
-112253	快快乐	92207	141823	1	null
-112254	工农差	87113	149996	1	null
-112255	快快乐乐	65536	112253	3	{z=1}
-112256	妖术	65536	22934	3	{n=0}
-112257	快手快	79208	142431	1	null
-112258	快手快脚	65536	112257	3	{l=0}
-112259	乌鱼	65536	20044	2	{n=0}
-112260	宾朋	65536	23486	3	{n=1}
-112261	吐絮	65536	21520	3	{v=0}
-112262	功放	65536	21151	3	{n=0}
-112263	光合	67124	20809	1	null
-112264	乌鲁	65547	20044	1	null
-112265	快捷键	65536	142731	3	{n=0}
-112266	快棋赛	65536	144095	3	{n=5}
-112267	快步流	86126	144761	1	null
-112268	小心谨	81996	162251	1	null
-112269	快步流星	65536	112267	3	{l=0}
-112270	卡其	65536	21345	3	{n=0}
-112271	卡具	65536	21345	3	{n=0}
-112272	功效	65536	21151	3	{n=6}
-112273	寄售	84280	23492	2	{vn=0}
-112274	入味	65536	20837	3	{v=0}
-112275	姑婆	65536	22993	3	{n=0}
-112276	快热式	65536	146177	3	{b=0}
-112277	兴学	65536	20852	3	{v=0}
-112278	壮劳	76780	22766	1	null
-112279	不理	65536	19981	3	{v=1}
-112280	快车道	65536	153978	3	{n=6}
-112281	忘年交	65536	116950	3	{n=1}
-112282	形式化	65536	134617	3	{v=4}
-112283	快速化	65536	154163	3	{v=1}
-112284	快马加	73459	156800	1	null
-112285	卡内	68548	21345	1	null
-112286	上高	65543	19978	1	null
-112287	太空站	65536	127132	3	{n=0}
-112288	快马加鞭	65536	112284	3	{i=0}
-112289	垫肩	65536	22443	3	{n=0}
-112290	念兹在	91435	115224	1	null
-112291	快餐业	65536	156452	3	{n=1}
-112292	念兹在兹	65536	112290	3	{i=0}
-112293	开户行	65536	164350	3	{n=0}
-112294	念念不	87760	118932	1	null
-112295	主演	65536	20027	3	{n=2, v=8}
-112296	念念不忘	65536	112294	3	{i=0}
-112297	因噎	71942	22240	1	null
-112298	劳动生	68670	109156	1	null
-112299	念念有词	65536	118690	3	{i=0}
-112300	忸怩	91987	24568	2	{a=0}
-112301	亲近	65540	20146	2	{a=1, an=1, v=5}
-112302	呼吸	74308	21628	2	{v=4, vn=3}
-112303	忸怩作	87729	112300	1	null
-112304	兴宁	65757	20852	1	null
-112305	多姿多采	65536	99377	3	{l=0}
-112306	忸怩作态	65536	112303	3	{i=0}
-112307	和平里	65536	120371	3	{ns=0}
-112308	假死	65536	20551	3	{v=0}
-112309	吸气	65536	21560	3	{v=0}
-112310	压价	65536	21387	3	{v=0, vd=0, vn=0}
-112311	忻州	88247	24571	2	{ns=1}
-112312	兴安	66229	20852	2	{ns=4}
-112313	忻州市	65536	112311	3	{ns=0}
-112314	乌鲳	65536	20044	3	{n=0}
-112315	平平整	83239	156117	1	null
-112316	占线	65536	21344	3	{v=0, vn=1}
-112317	山羊绒	65536	162129	3	{n=0}
-112318	尧治	79493	23591	1	null
-112319	忽冷忽	83411	114498	1	null
-112320	忽冷忽热	65536	112319	3	{l=0}
-112321	宇宙空	66138	105515	1	null
-112322	忽左忽	90834	117617	1	null
-112323	妇保	65536	22919	3	{j=0}
-112324	徽县	65536	24509	3	{n=0}
-112325	忽左忽右	65536	112322	3	{l=1}
-112326	忽忽不	92279	118152	1	null
-112327	忽忽不乐	65536	112326	3	{i=0}
-112328	化州	66306	21270	1	null
-112329	忽悠忽悠	65536	112331	3	{z=0}
-112330	全优	65536	20840	3	{n=0, z=3}
-112331	忽悠忽	87593	118315	1	null
-112332	全会	65536	20840	3	{n=30}
-112333	忽明忽	86073	119705	1	null
-112334	保持	65624	20445	2	{v=352, vn=10}
-112335	化工	68017	21270	2	{n=27}
-112336	忽明忽暗	65536	112333	3	{l=0}
-112337	忽闪忽	73961	131957	1	null
-112338	全传	65536	20840	3	{n=0}
-112339	忽闪忽闪	65536	112337	3	{z=1}
-112340	危楼	65536	21361	3	{n=3}
-112341	吸水	69524	21560	1	null
-112342	忽阴忽	86116	132031	1	null
-112343	妄自菲	67949	118053	1	null
-112344	忽阴忽晴	65536	112342	3	{l=1}
-112345	助残	65536	21161	3	{v=3, vn=0}
-112346	忿忿	92366	24575	1	null
-112347	忿忿不	88172	112346	1	null
-112348	嫩白	65536	23273	3	{b=0}
-112349	影视圈	65536	136533	3	{n=0}
-112350	壁灯	65536	22721	3	{n=0}
-112351	忿忿不平	65536	112347	3	{i=0}
-112352	怀仁堂	65536	129311	3	{ns=0}
-112353	偷盗	65536	20599	3	{v=1, vn=3}
-112354	县城	65536	21439	3	{n=35}
-112355	幻灯片	65536	119279	3	{n=1}
-112356	信据	65536	20449	3	{n=1}
-112357	席子	65536	24109	3	{n=0}
-112358	五洲	65550	20116	2	{j=0, nz=0}
-112359	响起	65536	21709	3	{v=18}
-112360	怀化市	65536	130420	3	{ns=0}
-112361	乌鳢	65536	20044	3	{n=0}
-112362	党棍	65536	20826	3	{n=0}
-112363	怀孕期	65536	132531	3	{t=0}
-112364	局子	65536	23616	3	{n=0}
-112365	忿怒	65536	24575	3	{a=0}
-112366	怀德县	65536	133653	3	{ns=0}
-112367	弯度	65536	24367	3	{n=0}
-112368	怀才不	75434	134315	1	null
-112369	怀才不遇	65536	112368	3	{i=0}
-112370	呼呼	65536	21628	3	{o=3, v=2}
-112371	县域	65536	21439	3	{n=11}
-112372	怀来县	65536	135619	3	{ns=0}
-112373	代部	65543	20195	1	null
-112374	怀柔县	65536	135730	3	{ns=3}
-112375	囚车	65536	22234	3	{n=0}
-112376	壁炉	76419	22721	2	{n=0}
-112377	封闭疗	78749	147258	1	null
-112378	怀璧其	79761	139013	1	null
-112379	怀璧其罪	65536	112378	3	{i=0}
-112380	徽号	65536	24509	3	{n=0}
-112381	怀疑论	65536	139247	3	{n=0}
-112382	居住	86268	23621	2	{v=44, vn=21}
-112383	怀远县	65536	145978	3	{ns=1}
-112384	态势	65536	24577	3	{n=43}
-112385	主潮	65536	20027	3	{n=3}
-112386	呼和	66249	21628	1	null
-112387	怂恿	65536	24578	3	{v=3}
-112388	怄气	65536	24580	3	{v=0}
-112389	全体	65536	20840	3	{a=0, n=126}
-112390	怅然若	89558	116599	1	null
-112391	怅然若失	65536	112390	3	{i=0}
-112392	孙桥	65663	23385	2	{ns=2, nz=1}
-112393	布拉戈	76234	142881	1	null
-112394	东门	65538	19996	1	null
-112395	尔格	65536	23572	3	{q=0}
-112396	少年报	65536	131751	3	{n=0}
-112397	压低	65536	21387	3	{v=4}
-112398	娱乐片	65536	103127	3	{n=0}
-112399	姑嫂	65536	22993	3	{n=0}
-112400	开发商	65536	160664	3	{n=3}
-112401	减收	65543	20943	2	{j=0}
-112402	垫脚	66771	22443	2	{n=0}
-112403	偏狭	65536	20559	3	{a=0}
-112404	定影液	65536	147028	3	{n=0}
-112405	偷看	65536	20599	3	{v=0}
-112406	以牙	65537	20197	1	null
-112407	开放性	65536	165125	3	{n=2}
-112408	印书	65544	21360	1	null
-112409	怅惘	65536	24581	3	{a=0}
-112410	怎么	91272	24590	2	{d=0, r=123, v=0}
-112411	凶相	65541	20982	2	{n=0}
-112412	六里	65546	20845	1	null
-112413	墙板	65536	22681	3	{n=1}
-112414	忙不	75326	24537	1	null
-112415	怎么得了	65536	115743	3	{l=0}
-112416	宇宙站	65536	105515	3	{n=0}
-112417	开拓性	65536	164506	3	{n=2}
-112418	怏怏	92439	24591	2	{z=0}
-112419	共生	65537	20849	2	{v=0}
-112420	怏怏不	92373	112418	1	null
-112421	怏怏不乐	65536	112420	3	{i=1}
-112422	怎么办	65536	112410	3	{r=0, v=0}
-112423	怒不可	75481	124204	1	null
-112424	怒不可遏	65536	112423	3	{i=0}
-112425	岁差	65536	23681	3	{n=0}
-112426	孔雀舞	65536	120971	3	{n=0}
-112427	五海	65592	20116	1	null
-112428	共用	65536	20849	3	{b=1}
-112429	怒冲冲	65536	125137	3	{z=0}
-112430	怒发冲	91538	125680	1	null
-112431	冲服	65536	20914	3	{v=0}
-112432	嫌疑犯	65536	112003	3	{n=3}
-112433	府城	65536	24220	3	{ns=0}
-112434	怒发冲冠	65536	112430	3	{i=1}
-112435	怒形于	79042	128641	1	null
-112436	怒形于色	65536	112435	3	{i=0}
-112437	劳役	66489	21171	2	{n=0}
-112438	卖好	65536	21334	3	{v=0}
-112439	怒气冲	91529	131891	1	null
-112440	坑木	65536	22353	3	{n=0}
-112441	怒气攻心	65536	117440	3	{l=0}
-112442	御医	65536	24481	3	{n=0}
-112443	怒气冲冲	65536	112439	3	{i=0}
-112444	怒江州	65536	131966	3	{ns=0}
-112445	区段	65536	21306	3	{n=12}
-112446	怒涛澎	84221	132282	1	null
-112447	农具	65536	20892	3	{n=0}
-112448	怒涛澎湃	65536	112446	3	{l=0}
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-112450	怒火中	83549	133002	1	null
-112451	忿恨	65536	24575	3	{a=0}
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-112453	博拉	65536	21338	3	{ns=0}
-112454	形式参	85034	134617	1	null
-112455	平方差	65536	157979	3	{n=0}
-112456	垂念	65536	22402	3	{v=0}
-112457	怒目圆睁	65536	112464	3	{i=1}
-112458	利害	65536	21033	3	{n=8}
-112459	减数	65536	20943	3	{n=0}
-112460	怒目横眉	65536	117364	3	{i=0}
-112461	怒目而视	65536	122966	3	{i=0}
-112462	吴邦	71859	21556	1	null
-112463	形神妙	78123	141352	1	null
-112464	怒目圆	81928	134669	1	null
-112465	宏命	85037	23439	1	null
-112466	地质部	65536	152455	3	{nt=35}
-112467	怔住	65536	24596	3	{v=0}
-112468	巫师	65536	24043	3	{n=0}
-112469	东阳	65549	19996	2	{ns=0}
-112470	小叶杨	65536	159230	3	{n=0}
-112471	怜贫惜	79705	124064	1	null
-112472	城市贫	69939	126542	1	null
-112473	尿毒	77357	23615	1	null
-112474	怜贫惜老	65536	112471	3	{i=0}
-112475	怕事	65536	24597	3	{a=0}
-112476	弯弓	65536	24367	3	{n=0, v=0, vn=0}
-112477	呼哧	72632	21628	2	{o=0}
-112478	呼哨	65536	21628	3	{n=0}
-112479	忙乎	65536	24537	3	{a=0, v=2}
-112480	怜香惜	82904	127246	1	null
-112481	怜香惜玉	65536	112480	3	{i=0}
-112482	冲杀	65536	20914	3	{v=0}
-112483	下部	65536	19979	3	{f=3}
-112484	思不出	91631	129383	1	null
-112485	思不出其	92186	112484	1	null
-112486	幼儿所	65536	113931	3	{n=0}
-112487	思不出其位	65536	112485	3	{i=0}
-112488	思前想	90971	130471	1	null
-112489	思前想后	65536	112488	3	{i=0}
-112490	寓教	86141	23507	1	null
-112491	副手	65536	21103	3	{n=0}
-112492	咸菜	65536	21688	3	{n=0}
-112493	人学	65536	20154	3	{n=2}
-112494	忽悠悠	65536	118315	3	{z=0}
-112495	思前顾后	65536	126707	3	{i=0}
-112496	思想解放	65536	124326	3	{i=4}
-112497	思新求	91034	135434	1	null
-112498	思新求变	65536	112497	3	{l=1}
-112499	奔忙	65536	22868	3	{v=0}
-112500	参军	65536	21442	3	{v=5, vn=0}
-112501	借用	65549	20511	2	{v=7, vn=0}
-112502	告一	66615	21578	1	null
-112503	思来想	91071	135871	1	null
-112504	弯弯	84324	24367	2	{v=1, z=2}
-112505	思想家	65536	134221	3	{n=0}
-112506	思来想去	65536	112503	3	{l=0}
-112507	思潮澎	84281	137928	1	null
-112508	思潮澎湃	65536	112507	3	{l=0}
-112509	思潮起伏	65536	120164	3	{l=0}
-112510	思绪万	91198	141892	1	null
-112511	劳心	65536	21171	3	{v=0, vd=0}
-112512	划等	66748	21010	1	null
-112513	思绪万千	65536	112510	3	{i=0}
-112514	忙乱	65536	24537	3	{a=0}
-112515	思考题	65536	142173	3	{n=0}
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-112517	怡和	65536	24609	3	{a=0}
-112518	怡然自	92477	119855	1	null
-112519	怠工	65536	24608	3	{v=0}
-112520	急三火	90293	145258	1	null
-112521	夸父	65739	22840	1	null
-112522	怕人	65536	24597	3	{a=0}
-112523	因地	75121	22240	1	null
-112524	卷帙	65575	21367	1	null
-112525	怡然自乐	65536	112518	3	{i=0}
-112526	尖端科	83862	130407	1	null
-112527	作怪	65536	20316	3	{v=0}
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-112529	急不可	88081	145262	1	null
-112530	急中生	86297	145294	1	null
-112531	急中生智	65536	112530	3	{i=0}
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-112533	威严	65536	23041	3	{a=4, an=1}
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-112535	东陵	65579	19996	1	null
-112536	急于求成	65536	112532	3	{l=1}
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-112538	呼唤	65536	21628	3	{v=13, vn=9}
-112539	急人之	73947	145435	1	null
-112540	急人所急	65536	117648	3	{l=0}
-112541	姑子	65536	22993	3	{n=0}
-112542	急先锋	65536	146089	3	{n=1}
-112543	忙于	65536	24537	3	{v=4}
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-112545	人定	65537	20154	1	null
-112546	左右开	83915	130334	1	null
-112547	急公好	92507	146125	1	null
-112548	急公好义	65536	112547	3	{i=0}
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-112550	急刹车	65536	146330	3	{l=1}
-112551	急功近	91519	146432	1	null
-112552	急功近利	65536	112551	3	{i=3}
-112553	不甘	65538	19981	2	{v=0, vn=1}
-112554	急匆匆	65536	146535	3	{b=0, d=3, z=0}
-112555	不甚	65681	19981	1	null
-112556	劫难	65536	21163	3	{n=2}
-112557	急口令	65536	146756	3	{n=0}
-112558	外经贸	76213	152912	2	{j=7}
-112559	急如星	83781	148195	1	null
-112560	急如星火	65536	112559	3	{i=1}
-112561	刻肌	67574	21051	1	null
-112562	急就章	65536	148882	3	{n=0}
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-112564	急忙忙	65536	149818	3	{z=0}
-112565	宾格	65536	23486	3	{n=0}
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-112567	床头	83145	24202	2	{n=1}
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-112569	不用	65541	19981	2	{d=22, v=0}
-112570	天花粉	65536	161729	3	{n=0}
-112571	健骨	65597	20581	1	null
-112572	急急巴巴	65536	112566	3	{z=0}
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-112576	屈原村	65536	109788	3	{ns=0}
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-112578	不由	65541	19981	1	null
-112579	急惊风	65536	150059	3	{n=0}
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-112581	农函	65732	20892	1	null
-112582	彻底	65536	24443	3	{a=15, ad=56, an=0, d=1}
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-112584	急流勇	75761	153250	1	null
-112585	寸有	81242	23544	1	null
-112586	岁序	65536	23681	3	{n=0}
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-112590	划算	65536	21010	3	{a=2}
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-112594	云鬓	65536	20113	3	{n=0}
-112595	医治	65536	21307	3	{v=7, vn=1}
-112596	作息	65610	20316	2	{n=1, v=0}
-112597	急溜溜	65536	153597	3	{z=0}
-112598	利尿	67237	21033	1	null
-112599	墙根	65536	22681	3	{n=0}
-112600	急火火	65536	154060	3	{z=0}
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-112603	作恶	65547	20316	2	{v=0}
-112604	呼啦	72403	21628	2	{o=1}
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-112606	代金	65536	20195	3	{n=0}
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-112608	不畏	65538	19981	2	{v=14}
-112609	急管繁	88252	156930	1	null
-112610	急管繁弦	65536	112609	3	{i=0}
-112611	含有	65536	21547	3	{v=12}
-112612	急脉缓	83821	158314	1	null
-112613	急脉缓灸	65536	112612	3	{i=0}
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-112615	吸浆	65542	21560	1	null
-112616	寸木	82701	23544	1	null
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-112618	品学	73742	21697	1	null
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-112620	急若流星	65536	112619	3	{i=0}
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-112625	急流勇退	65536	112584	3	{i=0}
-112626	急起直	75769	161496	1	null
-112627	峡湾	65536	23777	3	{n=0}
-112628	将心	79042	23558	1	null
-112629	养父	65540	20859	2	{n=1}
-112630	急起直追	65536	112626	3	{i=0}
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-112632	急转弯	65536	161997	3	{l=0}
-112633	急转直下	65536	118717	3	{i=1}
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-112636	急风暴	74005	164399	1	null
-112637	急风暴雨	65536	112636	3	{i=0}
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-112639	店名	65536	24215	3	{n=2}
-112640	呼喊	65536	21628	3	{v=3, vn=0}
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-112642	怦然心	91483	117006	1	null
-112643	怦然心动	65536	112642	3	{l=0}
-112644	导向	74870	23548	2	{n=57, v=0, vn=0}
-112645	性伤害	65536	127390	3	{l=0}
-112646	人寿	65730	20154	2	{b=0, n=1}
-112647	性关系	65536	127981	3	{n=2}
-112648	性周期	65536	128738	3	{n=0}
-112649	倒水	65536	20498	3	{v=1}
-112650	五湖	65551	20116	1	null
-112651	决胜	68169	20915	2	{v=3}
-112652	性命交	91804	128759	1	null
-112653	吐绶	65543	21520	1	null
-112654	岁月悠	83171	114755	1	null
-112655	性命交关	65536	112652	3	{i=0}
-112656	性器官	65536	129250	3	{n=0}
-112657	呈请	65536	21576	3	{v=0}
-112658	性恶论	65536	131824	3	{n=0}
-112659	性格学	65536	133814	3	{n=0}
-112660	往后	65536	24448	3	{t=2}
-112661	地方矿	65536	142360	3	{n=1}
-112662	奴隶社	81368	120418	1	null
-112663	性激素	65536	135738	3	{n=0}
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-112665	性生活	65536	137113	3	{n=0}
-112666	养牛	67722	20859	2	{v=5, vn=0}
-112667	只求	65536	21482	3	{v=2}
-112668	制定	65536	21046	3	{v=255, vn=15}
-112669	性病学	65536	137279	3	{n=0}
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-112679	动之	68574	21160	1	null
-112680	乌鸡	65536	20044	3	{n=0}
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-112682	崇敬	65536	23815	3	{v=7, vn=4}
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-112686	怨声载	75742	115562	1	null
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-112688	弟妇	65536	24351	3	{n=0}
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-112704	怪诞不经	65536	112703	3	{i=0}
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-112711	下里	65536	19979	1	null
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-112749	总协定	65536	154522	3	{n=2}
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-112757	总参谋部	65536	112755	3	{n=7}
-112758	总司令	65536	154691	3	{n=8}
-112759	总后勤部	65536	112764	3	{n=16, nt=0}
-112760	人山	66024	20154	1	null
-112761	参加	69097	21442	2	{n=0, v=549, vn=3}
-112762	总吨位	65536	154739	3	{n=0}
-112763	总商会	65536	155025	3	{n=4}
-112764	总后勤	75663	154713	1	null
-112765	先斩	65895	20808	1	null
-112766	制导	65536	21046	3	{vn=0}
-112767	总工会	65536	157232	3	{n=28}
-112768	东非	65536	19996	3	{j=0, ns=5, s=1}
-112769	总工程师	65536	123760	3	{n=7}
-112770	总府路	65536	157415	3	{ns=0}
-112771	动产	65536	21160	3	{n=0}
-112772	东面	65536	19996	3	{f=0}
-112773	总成绩	65536	158299	3	{n=1}
-112774	尚巴	79247	23578	1	null
-112775	怨不	88212	24616	1	null
-112776	总户数	65536	158338	3	{n=0}
-112777	中段	65536	20013	3	{f=3, s=0}
-112778	尼姑	83157	23612	2	{n=0}
-112779	延中	65536	24310	3	{nz=0}
-112780	力气	65580	21147	2	{n=17}
-112781	开封市	65536	162760	3	{ns=1}
-112782	嘴里	65536	22068	3	{s=8}
-112783	养狐	65568	20859	2	{v=2}
-112784	总指挥	65536	158546	3	{n=1}
-112785	幕布	65536	24149	3	{n=0}
-112786	总支出	65536	159098	3	{n=3}
-112787	印信	65536	21360	3	{n=0}
-112788	午门	65536	21320	3	{ns=0}
-112789	娴静	65536	23092	3	{a=1}
-112790	动人	65788	21160	2	{a=24, v=0}
-112791	总收入	65536	159105	3	{n=5}
-112792	总政治	75697	159114	1	null
-112793	总政治部	65536	112792	3	{n=30}
-112794	会派	65536	20250	3	{n=8}
-112795	总教头	65536	159140	3	{n=0}
-112796	总方针	65536	159236	3	{n=0}
-112797	以珠	65536	20197	1	null
-112798	总星系	65536	159338	3	{n=0}
-112799	完人	65536	23436	3	{n=0}
-112800	午间	65536	21320	3	{t=0}
-112801	品尝	65536	21697	3	{v=11, vn=1}
-112802	总流量	65536	161164	3	{n=0}
-112803	地矿部	65536	147038	3	{j=1, nt=1}
-112804	厂方	65536	21378	3	{n=0}
-112805	总状花	88600	162561	1	null
-112806	中毒	65536	20013	3	{v=4, vn=5}
-112807	总状花序	65536	112805	3	{l=0}
-112808	总理府	65536	162897	3	{n=7, ns=1, nt=0}
-112809	八段	65536	20843	3	{n=0}
-112810	总的来	82342	163535	1	null
-112811	总的说来	65536	122169	3	{c=2}
-112812	总督府	65536	163758	3	{n=0}
-112813	岳庙	65536	23731	3	{n=0}
-112814	总经理	75723	165658	2	{n=92}
-112815	弃婴	65536	24323	3	{n=0}
-112816	忘乎	87007	24536	1	null
-112817	总的来看	65536	112810	3	{c=2, l=1}
-112818	割除	65536	21106	3	{v=0}
-112819	总经理部	65536	112814	3	{n=1}
-112820	总结会	65536	165662	3	{n=0}
-112821	总统令	65536	165674	3	{n=1}
-112822	冠鸡	65536	20896	3	{n=1}
-112823	总编辑	65536	165729	3	{n=8}
-112824	总罢工	65536	165805	3	{v=0}
-112825	主焦	65540	20027	1	null
-112826	力求	65536	21147	3	{v=22}
-112827	冷傲	65536	20919	3	{a=0}
-112828	冰冷	65536	20912	3	{z=4}
-112829	总而言	92787	165975	1	null
-112830	总而言之	65536	112829	3	{c=2}
-112831	增长额	65536	143399	3	{n=1}
-112832	冰冻	68018	20912	2	{n=0, v=4, vn=0}
-112833	总负责	92682	169322	1	null
-112834	宜昌	84003	23452	2	{ns=6}
-112835	以理	65547	20197	1	null
-112836	总负责人	65536	112833	3	{n=2}
-112837	幸好	65536	24184	3	{d=2}
-112838	总起来	77077	169410	1	null
-112839	总起来讲	65536	112838	3	{l=0}
-112840	总路线	65536	169530	3	{n=0}
-112841	总队长	65536	171626	3	{n=1}
-112842	总面积	65536	171949	3	{n=16}
-112843	总预算	65536	172239	3	{n=0}
-112844	崇明	86608	23815	1	null
-112845	原子量	65536	126179	3	{n=0}
-112846	冰凉	65536	20912	3	{z=1}
-112847	信教	65627	20449	2	{v=0, vn=5}
-112848	总领事馆	65536	112857	3	{n=5}
-112849	冰凌	65536	20912	3	{n=1}
-112850	呼噜	65536	21628	3	{n=0}
-112851	小青瓦	65536	176474	3	{n=0}
-112852	岔曲	87135	23700	1	null
-112853	总鳍鱼	65536	173336	3	{n=0}
-112854	助消	67525	21161	1	null
-112855	交班	65536	20132	3	{v=0}
-112856	乌黑	65537	20044	2	{z=2}
-112857	总领事	73546	172241	2	{n=7}
-112858	宋朝	65536	23435	3	{t=1}
-112859	宜春	81380	23452	2	{ns=2}
-112860	恃强	91921	24643	1	null
-112861	恃强凌	88494	112860	1	null
-112862	危殆	65536	21361	3	{a=1}
-112863	恃强凌弱	65536	112861	3	{i=1}
-112864	布宜诺斯艾利斯港	65536	108722	3	{ns=0}
-112865	恃才傲	83578	113647	1	null
-112866	冰凝	65871	20912	1	null
-112867	恃才傲物	65536	112865	3	{i=0}
-112868	奏疏	65536	22863	3	{n=0}
-112869	恋恋不	79578	117628	1	null
-112870	弥天	87824	24357	1	null
-112871	恋恋不舍	65536	112869	3	{i=2}
-112872	县委	71110	21439	2	{j=0, n=65}
-112873	养猪	65708	20859	2	{v=27, vn=0}
-112874	恋爱观	65536	122210	3	{n=1}
-112875	恍如隔	92886	112896	1	null
-112876	恍如隔世	65536	112875	3	{i=0}
-112877	恍恍忽	88305	114635	1	null
-112878	恍恍忽忽	65536	112877	3	{z=0}
-112879	恍然大	88145	118964	1	null
-112880	恍然大悟	65536	112879	3	{i=1}
-112881	广播室	65536	149661	3	{n=1}
-112882	恐吓信	65536	112912	3	{n=0}
-112883	恐怖主义	65536	112884	3	{n=25}
-112884	恐怖主	92842	115987	1	null
-112885	恐惧感	65536	116196	3	{n=0}
-112886	弄假	85290	24324	1	null
-112887	击败	65536	20987	3	{v=20}
-112888	恐龙蛋	65536	132246	3	{n=1}
-112889	恒压器	65536	119809	3	{n=0}
-112890	恒星系	65536	124565	3	{n=0}
-112891	年久月	81206	148768	1	null
-112892	恒河沙	86925	126249	1	null
-112893	恒河沙数	65536	112892	3	{i=1}
-112894	功架	65536	21151	3	{n=1}
-112895	恒源祥	65536	126726	3	{nz=0}
-112896	恍如	74327	24653	2	{v=2}
-112897	入团	65536	20837	3	{v=0, vn=0}
-112898	农区	65536	20892	3	{n=3}
-112899	先是	65536	20808	3	{d=12}
-112900	冷僻	65536	20919	3	{a=0}
-112901	冰刀	65536	20912	3	{n=0}
-112902	恒等式	65536	129983	3	{n=0}
-112903	亚锦	65542	20122	1	null
-112904	恕罪	65536	24661	3	{v=0}
-112905	恙虫	65536	24665	3	{n=0}
-112906	奸徒	65536	22904	3	{n=0}
-112907	恢复	88305	24674	2	{v=168, vn=15}
-112908	全党	65702	20840	2	{n=60}
-112909	怯场	65536	24623	3	{a=0}
-112910	不白	65748	19981	1	null
-112911	恢宏博大	65536	112939	3	{l=2}
-112912	恐吓	92433	24656	2	{v=2, vn=0}
-112913	场内	65536	22330	3	{f=0, s=5}
-112914	恢宏壮观	65536	114367	3	{i=0}
-112915	入围	65536	20837	3	{v=1}
-112916	兴工	65536	20852	3	{nz=0, v=2}
-112917	包乘	67798	21253	1	null
-112918	倒流	65536	20498	3	{v=4, vd=0}
-112919	农协	65536	20892	3	{j=1}
-112920	恢复性	65536	112907	3	{b=3, n=0}
-112921	协进	70343	21327	1	null
-112922	形态学	65536	134859	3	{n=0}
-112923	中汇	65536	20013	3	{nz=13}
-112924	入国	65567	20837	1	null
-112925	恢宏率意	65536	121176	3	{i=0}
-112926	恣意妄	92906	112927	1	null
-112927	恣意	90010	24675	2	{d=1}
-112928	吸湿	69523	21560	1	null
-112929	循声	65536	24490	3	{d=0}
-112930	坚劲	65536	22362	3	{a=0, an=1}
-112931	参半	65536	21442	3	{v=0}
-112932	恣意妄为	65536	112926	3	{i=0}
-112933	恣肆汪	85020	120982	1	null
-112934	全兴	65536	20840	3	{nz=0}
-112935	恣肆汪洋	65536	112933	3	{i=1}
-112936	徒刑	65536	24466	3	{n=1}
-112937	志愿兵	91107	119714	2	{n=5}
-112938	幕府	65536	24149	3	{n=0}
-112939	恢宏博	90088	113549	1	null
-112940	恤衫	65536	24676	3	{n=0}
-112941	恨不得	65536	112949	3	{d=1}
-112942	恨之入	73351	113011	1	null
-112943	恨之入骨	65536	112942	3	{i=0}
-112944	恨入骨	73310	113805	1	null
-112945	恨入骨髓	65536	112944	3	{i=0}
-112946	恩同再	76052	127789	1	null
-112947	中江	65567	20013	1	null
-112948	恩同再造	65536	112946	3	{i=0}
-112949	恨不	88470	24680	1	null
-112950	卷心	65538	21367	1	null
-112951	兴师	66509	20852	1	null
-112952	动作	65536	21160	3	{n=46, v=0, vn=0}
-112953	恩将仇	87701	129831	1	null
-112954	恩将仇报	65536	112953	3	{i=0}
-112955	呈贡	72748	21576	1	null
-112956	恩尽义	80480	129886	1	null
-112957	恩尽义绝	65536	112956	3	{l=0}
-112958	入土	67490	20837	2	{v=0, vn=0}
-112959	奖杯	65536	22870	3	{n=5}
-112960	恩平市	65536	130452	3	{ns=0}
-112961	恩德培	65536	130776	3	{ns=0}
-112962	恩恩怨	88347	130954	1	null
-112963	恩恩怨怨	65536	112962	3	{n=0}
-112964	刻舟	65542	21051	1	null
-112965	恩恩爱爱	65536	117579	3	{z=0}
-112966	恩施州	65536	132318	3	{ns=3}
-112967	恩格斯	65536	132957	3	{nr=19}
-112968	恩重如	89304	143598	1	null
-112969	恩重如山	65536	112968	3	{i=1}
-112970	恒温器	65536	126623	3	{n=0}
-112971	勾针	65536	21246	3	{n=0}
-112972	倒海	65539	20498	1	null
-112973	全军	65545	20840	2	{n=45}
-112974	农历	65536	20892	3	{n=32}
-112975	志愿军	65536	119714	3	{n=0}
-112976	恪守	65536	24682	3	{v=8}
-112977	威信	77664	23041	2	{n=11}
-112978	冷光	65536	20919	3	{n=0}
-112979	恪尽职	89550	113157	1	null
-112980	宣传弹	65536	117520	3	{n=0}
-112981	开发型	65536	160664	3	{n=2}
-112982	恪尽职守	65536	112979	3	{l=4}
-112983	恫吓	65536	24683	3	{vn=0}
-112984	恬不为	88368	113024	1	null
-112985	入场	66472	20837	2	{v=1, vn=0}
-112986	恬不为怪	65536	112984	3	{i=0}
-112987	宇航界	65536	115388	3	{n=1}
-112988	弟媳	65536	24351	3	{n=4}
-112989	恬不知耻	65536	123651	3	{i=0}
-112990	刺杀	65536	21050	3	{v=2, vn=1}
-112991	恭喜发	76863	115039	1	null
-112992	善处	65536	21892	3	{v=0}
-112993	恭喜发财	65536	112991	3	{l=3}
-112994	恭城县	65536	115601	3	{ns=0}
-112995	恭恭敬	87033	117808	1	null
-112996	包产	67808	21253	2	{vn=0}
-112997	恭恭敬敬	65536	112995	3	{z=1}
-112998	巡回	79673	24033	2	{v=7, vd=1, vn=5}
-112999	恭维话	65536	125623	3	{n=0}
-113000	恭贺新	81858	129277	1	null
-113001	恭贺新禧	65536	113000	3	{l=1}
-113002	恩施市	65536	132318	3	{ns=1}
-113003	息事宁	92854	113009	1	null
-113004	川上	65536	24029	3	{nr=0}
-113005	中沙	65546	20013	1	null
-113006	国防部	65577	153105	2	{n=15, nt=12}
-113007	卖家	65536	21334	3	{n=1}
-113008	息事宁人	65536	113003	3	{i=0}
-113009	息事	89578	24687	1	null
-113010	息息相	92164	117589	1	null
-113011	恨之	92105	24680	1	null
-113012	利川	65862	21033	2	{ns=0}
-113013	作成	65536	20316	3	{v=1}
-113014	彭州	87040	24429	2	{ns=0}
-113015	息息相关	65536	113010	3	{i=4}
-113016	很快	65536	24456	3	{a=0, d=62}
-113017	息烽县	65536	121827	3	{ns=2}
-113018	委派	65536	22996	3	{v=2, vn=4}
-113019	恰克玛	86957	113699	1	null
-113020	恰克玛族	65536	113019	3	{nz=0}
-113021	作战	65536	20316	3	{v=21, vn=10}
-113022	川东	86601	24029	2	{nr=1, ns=0}
-113023	恰到好	90238	113928	1	null
-113024	恬不	92958	24684	1	null
-113025	凶神	65548	20982	1	null
-113026	恰到好处	65536	113023	3	{i=4}
-113027	安全壳	65536	147108	3	{n=2}
-113028	当事国	65536	150363	3	{n=0}
-113029	利差	65536	21033	3	{n=3}
-113030	恰卡奥	88969	114233	1	null
-113031	光圈	65536	20809	3	{n=0}
-113032	利己	68271	21033	2	{v=1}
-113033	不相	65819	19981	1	null
-113034	帽檐	65536	24125	3	{n=1}
-113035	恰卡奥市	65536	113030	3	{ns=0}
-113036	恰如其	92040	115802	1	null
-113037	中油	65536	20013	3	{j=0, n=0}
-113038	恰如其分	65536	113036	3	{i=0}
-113039	向海	65536	21521	3	{ns=1}
-113040	体液	65536	20307	3	{n=0}
-113041	恰帕斯州	65536	113044	3	{ns=3}
-113042	不省	65642	19981	1	null
-113043	农友	65536	20892	3	{n=0}
-113044	恰帕斯	89011	116973	2	{ns=0}
-113045	唱本	65536	21809	3	{n=0}
-113046	延伸	85801	24310	2	{v=18, vd=0, vn=5}
-113047	恰恰相	91595	117576	1	null
-113048	恰恰相反	65536	113047	3	{c=2}
-113049	农发	65587	20892	1	null
-113050	容城	65536	23481	3	{ns=0}
-113051	急急忙	88037	149894	1	null
-113052	东顺	65538	19996	1	null
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-113054	垂手	75905	22402	1	null
-113055	恰穆拉	65536	124190	3	{ns=0}
-113056	乌龙	65536	20044	1	null
-113057	恳谈会	65536	127917	3	{n=1}
-113058	兴平	65758	20852	1	null
-113059	唱机	65536	21809	3	{n=0}
-113060	弄僵	65536	24324	3	{v=0}
-113061	形影相对	65536	121504	3	{i=1}
-113062	乌龟	65536	20044	3	{n=1}
-113063	恶作剧	65536	137425	3	{n=0}
-113064	塞入	65536	22622	3	{v=1}
-113065	恶性循	83454	141724	1	null
-113066	化学武	66766	111696	1	null
-113067	农口	65536	20892	3	{n=0}
-113068	恳切	65536	24691	3	{a=3, ad=0}
-113069	恶性循环	65536	113065	3	{i=4, l=0}
-113070	恶性肿瘤	65536	121534	3	{l=0}
-113071	恶狠狠	65536	146517	3	{z=0}
-113072	尊敬	65536	23562	3	{v=7, vn=4}
-113073	参变	65605	21442	1	null
-113074	恶贯满	82669	153252	1	null
-113075	恨事	65536	24680	3	{n=0}
-113076	库尔德	65536	121156	3	{ns=20}
-113077	恶贯满盈	65536	113074	3	{i=0}
-113078	中波	65536	20013	3	{n=0}
-113079	将军肚	65536	109004	3	{n=0}
-113080	恶霸地	93056	155821	1	null
-113081	冷冰	67117	20919	1	null
-113082	低毒	65536	20302	3	{b=1}
-113083	恶霸地主	65536	113080	3	{n=1}
-113084	必要劳	90892	132242	1	null
-113085	告假	65536	21578	3	{v=0}
-113086	恹恹	65536	24697	3	{z=0}
-113087	恻隐	93054	24699	1	null
-113088	冷冷	65544	20919	1	null
-113089	哈拉雷	65536	118364	3	{ns=1}
-113090	怜才	65536	24604	3	{v=0}
-113091	勾销	65536	21246	3	{v=0}
-113092	冷冻	67026	20919	2	{v=0, vn=6}
-113093	压分	65536	21387	3	{v=2}
-113094	唐庄镇	65536	107270	3	{ns=0}
-113095	冬汛	65536	20908	3	{n=3}
-113096	塞内	76644	22622	1	null
-113097	恻隐之	88584	113087	1	null
-113098	徒劳	85214	24466	2	{v=1}
-113099	恻隐之心	65536	113097	3	{i=1}
-113100	恼羞成	88507	125628	1	null
-113101	恼羞成怒	65536	113100	3	{i=1}
-113102	书物	65536	20070	3	{n=0}
-113103	悄悄地	65536	115061	3	{z=9}
-113104	悄无声	88421	116433	1	null
-113105	不着	65539	19981	1	null
-113106	宏图	65536	23439	3	{n=4, nz=0}
-113107	床子	65536	24202	3	{n=0}
-113108	悄无声息	65536	113104	3	{l=1}
-113109	悄然无	90345	119335	1	null
-113110	包伙	65536	21253	3	{n=0, v=0}
-113111	弱不	79585	24369	1	null
-113112	恼人	65536	24700	3	{a=0}
-113113	悄然无声	65536	113109	3	{l=1}
-113114	厚此	65540	21402	1	null
-113115	庙宇	65536	24217	3	{n=6}
-113116	悉听	89555	24713	1	null
-113117	悉听尊	92707	113116	1	null
-113118	塞军	65536	22622	3	{j=0}
-113119	卫生棉	65536	104874	3	{n=0}
-113120	呆账	65536	21574	3	{n=17}
-113121	悄声	65536	24708	3	{d=0}
-113122	悉听尊便	65536	113117	3	{l=0}
-113123	喝道	65536	21917	3	{v=0}
-113124	悍匪	65536	24717	3	{n=0}
-113125	悍然不	74089	120816	1	null
-113126	冷凝	65910	20919	2	{vn=1}
-113127	悍然不顾	65536	113125	3	{i=0}
-113128	完好无缺	65536	105222	3	{l=0}
-113129	孔雀蓝	65536	120971	3	{b=0}
-113130	悒悒	65536	24722	3	{z=0}
-113131	恋人	65536	24651	3	{n=0}
-113132	人工	65664	20154	2	{b=5, d=7, n=12}
-113133	刺柏	65536	21050	3	{n=0}
-113134	悔不当	92114	113241	1	null
-113135	悔不当初	65536	113134	3	{i=0}
-113136	东风	65545	19996	2	{n=3, ns=0, nz=2}
-113137	悔之无及	65536	113146	3	{i=0}
-113138	忍不	91767	24525	1	null
-113139	先期	65536	20808	3	{b=0, d=3, t=0}
-113140	悔之晚矣	65536	113268	3	{i=0}
-113141	压制	65536	21387	3	{v=2, vn=1}
-113142	净高	65536	20928	3	{n=0}
-113143	娃娃鱼	65536	105823	3	{n=0}
-113144	悔过书	65536	130067	3	{n=0}
-113145	弟子	65536	24351	3	{n=6}
-113146	悔之无	91687	113303	1	null
-113147	悔过自新	65536	126332	3	{i=0}
-113148	低气	65553	20302	1	null
-113149	悖入悖	92164	113167	1	null
-113150	悖入悖出	65536	113149	3	{i=0}
-113151	屠杀	65536	23648	3	{v=4, vn=10}
-113152	悟出	65536	24735	3	{v=2}
-113153	埋葬	65536	22475	3	{v=0}
-113154	悉尼型	65536	115180	3	{nz=0}
-113155	幻境	65536	24187	3	{n=0}
-113156	悠哉游	91455	115118	1	null
-113157	恪尽	80135	24682	2	{v=0}
-113158	兼程	65536	20860	3	{v=0}
-113159	体温	65545	20307	2	{n=1}
-113160	悠哉游哉	65536	113156	3	{l=0}
-113161	悠悠扬	87966	118149	1	null
-113162	悠悠扬扬	65536	113161	3	{z=1}
-113163	刻苦	65652	21051	2	{a=4, ad=13, d=0}
-113164	悠然自	88697	122395	1	null
-113165	庆云	65536	24198	3	{nz=0}
-113166	先机	65536	20808	3	{d=0, n=1}
-113167	悖入	88423	24726	1	null
-113168	悠然自得	65536	113164	3	{i=2}
-113169	悠闲自	90858	131799	1	null
-113170	悠闲自在	65536	113169	3	{i=0}
-113171	娱乐界	65536	103127	3	{n=0}
-113172	恰似	65536	24688	3	{v=1}
-113173	中流	65537	20013	2	{n=0}
-113174	大白话	65536	158743	3	{n=0}
-113175	患得患	90347	116880	1	null
-113176	偷税	65537	20599	2	{v=4, vn=0}
-113177	全剧	65536	20840	3	{n=1}
-113178	弘愿	65536	24344	3	{n=0}
-113179	交由	65536	20132	3	{v=0}
-113180	患得患失	65536	113175	3	{i=2}
-113181	佳音	65536	20339	2	{n=2}
-113182	史河	65536	21490	3	{n=1}
-113183	患病率	65536	122558	3	{n=0}
-113184	患难与	92337	130999	1	null
-113185	全副	65536	20840	3	{b=0}
-113186	患难与共	65536	113184	3	{i=1}
-113187	印共	65536	21360	3	{j=0}
-113188	地方税	65536	142360	3	{n=0}
-113189	患难之交	65536	113245	3	{i=0}
-113190	您好	65536	24744	3	{l=3}
-113191	善始	73195	21892	1	null
-113192	悬壶于	89131	130980	1	null
-113193	兴建	65536	20852	3	{v=42, vn=0}
-113194	利库	65634	21033	1	null
-113195	博斯	65548	21338	1	null
-113196	嘉木	65536	22025	3	{n=0}
-113197	悬壶于市	65536	113192	3	{i=0}
-113198	悦目	65536	24742	3	{a=0}
-113199	山楂糕	65536	156425	3	{n=0}
-113200	悬崖勒马	65536	113202	3	{i=0}
-113201	悬崖峭壁	65536	115789	3	{i=1}
-113202	悬崖勒	73668	132036	1	null
-113203	悬崖绝壁	65536	124477	3	{i=0}
-113204	悬心吊	80245	132721	1	null
-113205	妇协	65536	22919	3	{j=0}
-113206	交界	65550	20132	2	{n=0, v=5, vn=0}
-113207	寸楷	65536	23544	3	{n=0}
-113208	患儿	65536	24739	3	{n=2}
-113209	先来	65899	20808	1	null
-113210	坦克车	65536	102702	3	{n=0}
-113211	悬心吊胆	65536	113204	3	{i=0}
-113212	悬梁刺	80285	134959	1	null
-113213	奸情	65536	22904	3	{n=0}
-113214	悬梁刺股	65536	113212	3	{i=0}
-113215	悬浊液	65536	136184	3	{n=0}
-113216	悬浮剂	65536	136220	3	{n=1}
-113217	头等舱	65536	144386	3	{n=1}
-113218	主犯	65536	20027	3	{n=5}
-113219	冲模	65536	20914	3	{n=0}
-113220	悬灯结	88797	136989	1	null
-113221	悉尼城	65536	115180	3	{ns=1}
-113222	悬灯结彩	65536	113220	3	{i=0}
-113223	悬而未	92309	140986	1	null
-113224	悬而未决	65536	113223	3	{i=3}
-113225	悬铃木	65536	146289	3	{n=0}
-113226	悬雍垂	65536	146811	3	{n=0}
-113227	中海	65536	20013	3	{nz=0}
-113228	悲伤欲	80754	130135	1	null
-113229	全力	67327	20840	2	{d=24, n=3, nz=1}
-113230	居功	87597	23621	2	{v=1, vn=0}
-113231	悲伤欲绝	65536	113228	3	{i=0}
-113232	哪边	65536	21738	3	{r=0}
-113233	偏瘫	65536	20559	3	{v=0, vn=1}
-113234	官能症	65536	151134	3	{n=0}
-113235	启用	65536	21551	3	{v=13, vn=0}
-113236	太阳城	65536	134229	3	{n=0}
-113237	悲切切	65536	130874	3	{z=0}
-113238	思想库	65536	134221	3	{n=1}
-113239	悲剧性	65536	130970	3	{n=0}
-113240	何须	65536	20309	3	{d=1}
-113241	悔不	88731	24724	1	null
-113242	压力	68597	21387	2	{n=99}
-113243	咸蛋	65536	21688	3	{n=0}
-113244	悲喜交	92096	131791	1	null
-113245	患难之	93057	130999	1	null
-113246	庄子	65536	24196	3	{nr=0}
-113247	冬泳	65536	20908	3	{n=8, v=1, vn=1}
-113248	悲喜交加	65536	113244	3	{i=0}
-113249	刀法	65536	20992	3	{n=1}
-113250	悲天悯	93100	132700	1	null
-113251	保暖	65570	20445	2	{a=9, an=1, v=0, vn=0}
-113252	去火	65536	21435	3	{v=0}
-113253	全劳	66365	20840	1	null
-113254	悲天悯人	65536	113250	3	{i=0}
-113255	悲悲切	92257	134629	1	null
-113256	悲悲切切	65536	113255	3	{z=0}
-113257	尚志	83219	23578	2	{ns=4}
-113258	固步	65586	22266	1	null
-113259	建设性	65536	153482	3	{b=0, n=22, v=0}
-113260	悲惨惨	65536	134683	3	{z=0}
-113261	悲欢离	91755	137301	1	null
-113262	刺桐	65536	21050	3	{ns=0}
-113263	孤立语	65536	131610	3	{n=0}
-113264	会演	65536	20250	3	{v=0, vn=0}
-113265	低沉	65536	20302	3	{a=1}
-113266	壁球	65536	22721	3	{n=2}
-113267	悲欢离合	65536	113261	3	{i=2}
-113268	悔之晚	82449	113303	1	null
-113269	悲痛欲	80794	140046	1	null
-113270	不知	65820	19981	2	{v=58}
-113271	悲痛欲绝	65536	113269	3	{i=2}
-113272	悲观失	86881	145141	1	null
-113273	副教	65537	21103	1	null
-113274	人平	65536	20154	3	{j=0}
-113275	人年	65536	20154	3	{q=0}
-113276	悲观失望	65536	113272	3	{l=0}
-113277	悸动	65536	24760	3	{vn=1}
-113278	将才	83255	23558	2	{n=0}
-113279	幼儿教	76581	113931	1	null
-113280	小花脸	65536	171193	3	{n=0}
-113281	完璧终	80827	122508	1	null
-113282	悻悻	65536	24763	3	{d=1}
-113283	信服	65536	20449	3	{v=1, vn=0}
-113284	偷空	65536	20599	3	{v=0}
-113285	劳拉	65536	21171	3	{nz=0}
-113286	情不自	82184	142986	1	null
-113287	事项	65536	20107	3	{n=15}
-113288	就业率	65536	124726	3	{n=2}
-113289	情不自禁	65536	113286	3	{i=9}
-113290	巍然	84414	24013	2	{d=2}
-113291	叶斑	65557	21494	1	null
-113292	悼念	65536	24764	3	{v=0, vn=0}
-113293	偷窃	65536	20599	3	{v=2}
-113294	情人卡	65536	143159	3	{n=0}
-113295	情侣卡	65536	143392	3	{n=0}
-113296	情同手	77025	144521	1	null
-113297	信望	65536	20449	3	{n=0}
-113298	怠惰	65536	24608	3	{a=0}
-113299	居民楼	65536	119744	3	{n=2}
-113300	情同手足	65536	113296	3	{i=1}
-113301	布兰敦	65536	138440	3	{n=0}
-113302	全勤	65536	20840	3	{n=0}
-113303	悔之	87066	24724	1	null
-113304	情投意	91794	148242	1	null
-113305	其貌	67721	20854	1	null
-113306	情投意合	65536	113304	3	{i=3}
-113307	创汇	65543	21019	2	{v=15, vn=9}
-113308	情文并	79772	148996	1	null
-113309	外经贸部	65536	112558	3	{j=17}
-113310	情文并茂	65536	113308	3	{i=0}
-113311	工具房	65536	149959	3	{n=0}
-113312	幸存	76739	24184	2	{v=1, vn=0}
-113313	利弊	65536	21033	3	{n=3}
-113314	入境	65648	20837	2	{v=5, vn=7}
-113315	信札	65536	20449	3	{n=0}
-113316	情景交	78617	149228	1	null
-113317	开花结果	65536	110244	3	{i=0}
-113318	情景交融	65536	113316	3	{i=0}
-113319	情有可	91913	149382	1	null
-113320	情有可原	65536	113319	3	{i=0}
-113321	冷加	65807	20919	1	null
-113322	卫队	65564	21355	2	{n=1}
-113323	包修	65536	21253	3	{v=0, vn=0}
-113324	县官	65536	21439	3	{n=1}
-113325	十一	66858	21313	1	null
-113326	情有独钟	65536	121252	3	{l=3}
-113327	偷窥	65536	20599	3	{v=1}
-113328	布拉斯	65536	142881	3	{nz=0}
-113329	元煤	65536	20803	3	{n=0}
-113330	情理之	93318	152707	1	null
-113331	情理之中	65536	113330	3	{l=4}
-113332	十万	65552	21313	1	null
-113333	司法	72211	21496	2	{j=3, n=37, v=0, vn=0}
-113334	十三	66620	21313	1	null
-113335	传热	65536	20256	3	{vn=0}
-113336	情真意	92338	153500	1	null
-113337	情真意切	65536	113336	3	{l=1}
-113338	安康线	65536	150515	3	{nz=0}
-113339	威克	73197	23041	1	null
-113340	容声	65536	23481	3	{nz=2}
-113341	情真词切	65536	124278	3	{i=0}
-113342	庸俗性	65536	110322	3	{n=0}
-113343	基础课	65536	136125	3	{n=0}
-113344	情窦初	89025	154403	1	null
-113345	情窦初开	65536	113344	3	{i=0}
-113346	情笃意	85206	154496	1	null
-113347	怯声	88084	24623	1	null
-113348	庄家	65536	24196	3	{n=1}
-113349	不破	65822	19981	1	null
-113350	场区	65536	22330	3	{n=1}
-113351	情笃意深	65536	113346	3	{i=0}
-113352	情绪化	65536	155495	3	{v=0}
-113353	情节性	65536	156415	3	{n=1}
-113354	情报员	65536	148258	3	{n=0}
-113355	情随事	76555	161548	1	null
-113356	情随事迁	65536	113355	3	{i=0}
-113357	就地正	79475	127052	1	null
-113358	惆怅	65536	24774	3	{a=2, an=2}
-113359	和平门	65536	120371	3	{ns=1}
-113360	惊世骇	92922	141487	1	null
-113361	惊世骇俗	65536	113360	3	{i=1}
-113362	惊人之	93333	141651	1	null
-113363	惊人之举	65536	113362	3	{l=0}
-113364	惊叹号	65536	142994	3	{n=0}
-113365	惊喜万分	65536	113372	3	{l=1}
-113366	保有	65563	20445	2	{v=2}
-113367	信条	65536	20449	3	{n=1}
-113368	惊喜交集	65536	113529	3	{i=0}
-113369	图书馆	65536	122371	3	{n=35}
-113370	妙手	79962	22937	2	{n=2}
-113371	惊堂木	65536	144027	3	{n=0}
-113372	惊喜万	92367	143413	1	null
-113373	惊天动	91055	144322	1	null
-113374	养生	67674	20859	2	{v=0, vn=1}
-113375	惊天动地	65536	113373	3	{i=2}
-113376	少不更	87017	127552	1	null
-113377	惊天地泣	73639	114533	1	null
-113378	喝酒	65536	21917	3	{v=4}
-113379	惊天地泣鬼	82311	113377	1	null
-113380	威兴	77885	23041	1	null
-113381	惊天地泣鬼神	65536	113379	3	{l=1, n=0}
-113382	惊弓之	72904	145836	1	null
-113383	惊弓之鸟	65536	113382	3	{i=0}
-113384	印制	65576	21360	2	{v=8, vn=0}
-113385	印刷	72592	21360	2	{v=6, vn=9}
-113386	惊心动魄	65536	113391	3	{i=6}
-113387	惊心掉胆	65536	117712	3	{i=0}
-113388	全区	65536	20840	3	{n=69}
-113389	左右手	65536	130334	3	{i=0, l=0, n=0}
-113390	哈佛	65536	21704	3	{n=1, ns=5, nz=1}
-113391	惊心动	73638	146012	1	null
-113392	惊恐万	84027	146153	1	null
-113393	惊恐万状	65536	113392	3	{i=0}
-113394	党法	65536	20826	3	{n=1}
-113395	停电	65536	20572	3	{v=3, vn=1}
-113396	奇花异草	65536	101106	3	{i=0}
-113397	冰台	65536	20912	3	{n=2}
-113398	划线	65536	21010	3	{v=0}
-113399	惊惶失	87888	146319	1	null
-113400	十之	68601	21313	1	null
-113401	保本	65536	20445	3	{v=0}
-113402	惊惶失措	65536	113399	3	{i=0}
-113403	惊慌失	87890	146405	1	null
-113404	惊慌失措	65536	113403	3	{i=1}
-113405	惊涛激	77173	149556	1	null
-113406	剪短	65536	21098	3	{v=0}
-113407	惊涛激越	65536	113405	3	{i=0}
-113408	惊涛骇浪	65536	124356	3	{i=1}
-113409	均衡	72597	22343	2	{a=9, ad=8, an=3}
-113410	剧组	65536	21095	3	{n=35}
-113411	中港	65536	20013	3	{nz=2}
-113412	怠慢	65536	24608	3	{v=3, vn=0}
-113413	应用文	65536	146805	3	{n=0}
-113414	剧终	65536	21095	3	{v=0}
-113415	怯头	88089	24623	1	null
-113416	惊蛇入	79809	156000	1	null
-113417	已故	65536	24050	3	{v=9, vn=3}
-113418	惊蛇入草	65536	113416	3	{i=0}
-113419	惊险万	84056	160002	1	null
-113420	中游	65536	20013	3	{f=0, n=2, s=0}
-113421	代销	65563	20195	2	{v=2, vn=0}
-113422	惊险万状	65536	113419	3	{i=0}
-113423	入声	65536	20837	3	{n=0}
-113424	惊魂未	89975	161243	1	null
-113425	惊魂未定	65536	113424	3	{i=0}
-113426	惋惜	65536	24779	3	{a=2, an=2}
-113427	惑人	80609	24785	1	null
-113428	惑人耳	82984	113427	1	null
-113429	八渡	65536	20843	3	{ns=3}
-113430	惑人耳目	65536	113428	3	{l=0}
-113431	停留	65536	20572	3	{v=27, vn=0}
-113432	得鱼忘荃	65536	111391	3	{i=0}
-113433	惘然	79925	24792	2	{z=0}
-113434	惘然若	90603	113433	1	null
-113435	劳损	65536	21171	3	{v=0}
-113436	惘然若失	65536	113434	3	{i=0}
-113437	契税	65536	22865	3	{n=3}
-113438	惟利是	91171	114879	1	null
-113439	幼体	65536	24188	3	{n=0}
-113440	崇桢	65536	23815	3	{t=0}
-113441	惟利是图	65536	113438	3	{i=0}
-113442	惟命是	93269	115475	1	null
-113443	惟命是从	65536	113442	3	{i=0}
-113444	低洼	65563	20302	2	{a=0, an=1}
-113445	惟妙惟	80531	116783	1	null
-113446	弦外	90620	24358	1	null
-113447	勾除	65536	21246	3	{v=0}
-113448	制度	67338	21046	2	{n=535}
-113449	惟妙惟肖	65536	113445	3	{i=1}
-113450	悠久	65536	24736	3	{a=22, an=0}
-113451	惜乎	65536	24796	3	{e=1, v=0}
-113452	惟它独	89891	117273	1	null
-113453	惟它独尊	65536	113452	3	{i=1}
-113454	入夏	65536	20837	3	{v=0}
-113455	惟我独	89894	118951	1	null
-113456	惟我独尊	65536	113455	3	{i=0}
-113457	惠安县	65536	119668	3	{ns=1}
-113458	店址	65536	24215	3	{n=0}
-113459	固氮	65541	22266	2	{n=0}
-113460	全厂	65536	20840	3	{n=14}
-113461	惠灵顿	65536	125024	3	{ns=0}
-113462	压卷	71237	21387	1	null
-113463	惠而不	77311	129015	1	null
-113464	惠而不费	65536	113463	3	{i=0}
-113465	十二	69552	21313	1	null
-113466	惧高症	65536	128513	3	{n=0}
-113467	入夜	65536	20837	3	{v=4}
-113468	孕激	71306	23381	1	null
-113469	惨不忍	82892	123332	1	null
-113470	惧怕	65536	24807	3	{v=1}
-113471	亚非	65541	20122	1	null
-113472	器重	65536	22120	3	{v=0, vn=0}
-113473	十五	67641	21313	1	null
-113474	器量	65536	22120	3	{n=0}
-113475	惦念	65536	24806	3	{v=1}
-113476	导坑	65536	23548	3	{n=0}
-113477	惨不忍睹	65536	113469	3	{i=1}
-113478	惨无人	76533	129431	1	null
-113479	弘扬	65536	24344	3	{nr=0, v=44, vn=0}
-113480	惨无人道	65536	113478	3	{i=0}
-113481	惨淡经	79654	131480	1	null
-113482	庞杂	65536	24222	3	{a=0}
-113483	惨淡经营	65536	113481	3	{i=0}
-113484	惨绝人	89950	135828	1	null
-113485	完全	83722	23436	2	{a=38, ad=149}
-113486	惨绝人寰	65536	113484	3	{i=1}
-113487	彭德	86531	24429	1	null
-113488	厂桥	65536	21378	3	{ns=0}
-113489	动兵	65536	21160	3	{v=0}
-113490	己丑	65536	24049	3	{m=0}
-113491	惩一儆	83158	113531	1	null
-113492	惩一儆百	65536	113491	3	{i=0}
-113493	友舰	65536	21451	3	{n=0}
-113494	惩一警百	65536	128435	3	{i=0}
-113495	惩前毖	91978	114632	1	null
-113496	惩前毖后	65536	113495	3	{i=3}
-113497	惩罚性	65536	126165	3	{n=2}
-113498	塞北	65536	22622	3	{nr=0, ns=1, s=5}
-113499	党派	65536	20826	3	{n=13}
-113500	切汇	65536	20999	3	{v=0}
-113501	惬意	65536	24812	3	{a=2}
-113502	彩色片	65536	145846	3	{n=0}
-113503	惭愧	65536	24813	3	{a=1, an=1}
-113504	惯性力	65536	117767	3	{n=0}
-113505	婴儿车	65536	103195	3	{n=2}
-113506	惯用语	65536	123144	3	{n=0}
-113507	惰性	92711	24816	2	{n=1}
-113508	埋藏	65536	22475	3	{v=1}
-113509	妖气	65536	22934	3	{a=0}
-113510	呼声	65536	21628	3	{n=15}
-113511	交白	65553	20132	1	null
-113512	固定资金	65536	108768	3	{l=0}
-113513	人形	65536	20154	3	{n=2}
-113514	惰性元	81486	113507	1	null
-113515	惯例	65536	24815	3	{n=17}
-113516	孪生	80280	23402	2	{b=2}
-113517	建筑学	65536	149277	3	{n=1}
-113518	惰性元素	65536	113514	3	{l=0}
-113519	想不到	65536	123188	3	{l=2}
-113520	想像力	65536	123894	3	{n=0}
-113521	全县	65536	20840	3	{n=94}
-113522	县属	65536	21439	3	{b=3, vn=0}
-113523	何首	66571	20309	1	null
-113524	傻高	65536	20667	3	{z=0}
-113525	下铺	65536	19979	3	{n=0}
-113526	想入非	74777	124044	1	null
-113527	想入非非	65536	113526	3	{i=0}
-113528	人影	65536	20154	2	{n=2}
-113529	惊喜交	74770	143413	1	null
-113530	听之	73868	21548	1	null
-113531	惩一	92749	24809	1	null
-113532	尽瘁鞠	70964	127323	1	null
-113533	冷却	67255	20919	2	{v=1, vn=3}
-113534	想想也	87382	128026	1	null
-113535	全反	65632	20840	1	null
-113536	吸烟	70688	21560	2	{v=11, vn=2}
-113537	岳阳楼	86656	127047	2	{ns=0}
-113538	宅第	65536	23429	3	{n=0}
-113539	想得到	65536	127678	3	{l=0}
-113540	养病	65536	20859	3	{v=3, vn=1}
-113541	想想也是	65536	113534	3	{l=1}
-113542	想方设	85683	129248	1	null
-113543	养痈	65582	20859	1	null
-113544	想方设法	65536	113542	3	{i=10}
-113545	想象力	65536	139144	3	{n=5}
-113546	屈才	65536	23624	3	{a=0}
-113547	惴惴	93570	24820	2	{z=1}
-113548	光复	65557	20809	2	{v=0}
-113549	恢宏	91601	24674	2	{a=2, an=0}
-113550	吸热	65536	21560	3	{v=0}
-113551	惴惴不	90122	113547	1	null
-113552	屈打	82515	23624	1	null
-113553	制式	65536	21046	3	{n=4}
-113554	想当初	65536	127610	3	{l=2}
-113555	惴惴不安	65536	113551	3	{i=1}
-113556	场合	65536	22330	3	{n=11}
-113557	惶恐不	90127	113571	1	null
-113558	六陆	65536	20845	3	{nz=0}
-113559	博望	65586	21338	1	null
-113560	惶恐不安	65536	113557	3	{i=0}
-113561	主理	65536	20027	3	{v=1, vn=0}
-113562	惶惶不	90137	113737	1	null
-113563	做菜	65536	20570	3	{v=0}
-113564	兼管	65536	20860	3	{v=0}
-113565	原子钟	65536	126179	3	{n=2}
-113566	固沙	69801	22266	2	{v=0}
-113567	呼天	69016	21628	1	null
-113568	度度	65536	24230	3	{v=1}
-113569	告别	65536	21578	3	{v=48, vn=5}
-113570	惶惶不安	65536	113562	3	{i=0}
-113571	惶恐	93576	24822	2	{a=1}
-113572	巡夜	65536	24033	3	{v=0}
-113573	彝山	65536	24413	3	{ns=0}
-113574	光大	65536	20809	3	{nz=1, v=1, vn=0}
-113575	惹不起	65536	113716	3	{v=0}
-113576	光天	66172	20809	1	null
-113577	惹事生	74832	113842	1	null
-113578	壁画	65536	22721	3	{n=1}
-113579	因子	65536	22240	3	{n=3}
-113580	妻离	78858	22971	1	null
-113581	徽墨	65536	24509	3	{n=0}
-113582	惹事生非	65536	113577	3	{i=0}
-113583	忍俊	92094	24525	1	null
-113584	惹是生	74836	119894	1	null
-113585	以直	65540	20197	1	null
-113586	惹是生非	65536	113584	3	{i=0}
-113587	光头	65536	20809	3	{n=0}
-113588	惹火烧	77068	122514	1	null
-113589	人微	65541	20154	1	null
-113590	岂敢	65536	23682	3	{v=0}
-113591	惹火烧身	65536	113588	3	{i=0}
-113592	惹草拈	80137	127344	1	null
-113593	哭诉	65536	21741	3	{v=3, vn=0}
-113594	惹草拈花	65536	113592	3	{i=0}
-113595	惹麻烦	65536	134370	3	{l=0}
-113596	午餐	69300	21320	2	{n=0, v=0}
-113597	惺惺作	89021	113883	1	null
-113598	惺惺作态	65536	113597	3	{i=0}
-113599	全名	65536	20840	3	{n=0}
-113600	愁容满	74847	116983	1	null
-113601	愁容满面	65536	113600	3	{l=0}
-113602	愁眉不	89966	123975	1	null
-113603	愁眉不展	65536	113602	3	{i=1}
-113604	愁眉苦脸	65536	127131	3	{i=0}
-113605	幻想曲	65536	115315	3	{n=1}
-113606	愁眉锁眼	65536	131766	3	{i=0}
-113607	愁肠百	81141	126430	1	null
-113608	愁肠百结	65536	113607	3	{i=1}
-113609	愈来愈	65536	119071	3	{d=12}
-113610	人心	66202	20154	2	{n=31}
-113611	惺忪	65536	24826	3	{a=1}
-113612	愈演愈	84744	121038	1	null
-113613	宁德	79676	23425	2	{ns=0}
-113614	关注	65536	20851	3	{v=126, vn=54}
-113615	愁云	65536	24833	3	{n=1}
-113616	愈演愈烈	65536	113612	3	{l=5}
-113617	家务活	65536	144307	3	{n=0}
-113618	击退	65536	20987	3	{v=0}
-113619	愉快	65536	24841	3	{a=23, ad=2, an=0}
-113620	亚音	65536	20122	1	null
-113621	屈折	71800	23624	1	null
-113622	意中人	65536	130347	3	{n=0}
-113623	意兴索	84643	131186	1	null
-113624	山东省	65536	149475	3	{n=0, ns=46}
-113625	意兴索然	65536	113623	3	{i=0}
-113626	意兴阑珊	65536	120006	3	{i=0}
-113627	意味深	75361	131953	1	null
-113628	恭候	65536	24685	3	{v=1}
-113629	奋笔	71026	22859	1	null
-113630	奥斯	80283	22885	1	null
-113631	卷扬	65957	21367	1	null
-113632	意味深长	65536	113627	3	{i=3}
-113633	意味隽永	65536	124071	3	{i=0}
-113634	交相	65536	20132	1	null
-113635	冲毁	65536	20914	3	{v=1}
-113636	意在言	90831	132646	1	null
-113637	意在言外	65536	113636	3	{i=0}
-113638	己亥	65536	24049	3	{m=0}
-113639	意向书	65536	131855	3	{n=4}
-113640	中演	65536	20013	3	{nz=1}
-113641	意大利	92794	133157	2	{ns=126}
-113642	思想性	65536	134221	3	{n=20}
-113643	意大利共	92000	113641	1	null
-113644	意大利共和	91376	113643	1	null
-113645	意大利共和国	65536	113644	3	{ns=1}
-113646	刺槐	65536	21050	3	{n=0}
-113647	恃才	92207	24643	1	null
-113648	意志薄	89280	134869	1	null
-113649	意志薄弱	80877	113648	1	null
-113650	意志薄弱者	65536	113649	3	{n=1}
-113651	意想不	92613	135153	1	null
-113652	店堂	65536	24215	3	{n=3}
-113653	意想不到	65536	113651	3	{i=5}
-113654	不祥	65761	19981	2	{z=1}
-113655	意懒心	84874	135376	1	null
-113656	不祧	65762	19981	1	null
-113657	忌妒	87548	24524	2	{v=0}
-113658	意懒心灰	65536	113655	3	{i=0}
-113659	宏大	65536	23439	3	{a=12, an=0, nz=0}
-113660	余粮	65536	20313	3	{n=6}
-113661	听从	65536	21548	3	{v=5}
-113662	意料之	93650	136343	1	null
-113663	意料之中	65536	113662	3	{l=0}
-113664	意气用事	65536	113665	3	{i=2}
-113665	意气用	93557	138002	1	null
-113666	意气相投	65536	114129	3	{i=0}
-113667	外交辞	78912	140581	1	null
-113668	意气自得	65536	116931	3	{i=0}
-113669	意气风发	65536	122791	3	{i=2}
-113670	利息	65548	21033	2	{n=21}
-113671	商业街	65536	127190	3	{n=2}
-113672	意犹未	90060	139703	1	null
-113673	意犹未尽	65536	113672	3	{i=0, l=1}
-113674	全员	65536	20840	3	{n=7}
-113675	威力	65536	23041	3	{n=3, nz=0}
-113676	意莫高	93568	144041	1	null
-113677	安安静	66173	149701	1	null
-113678	意莫高于	84447	113676	1	null
-113679	五牛	65536	20116	3	{nz=0}
-113680	意莫高于爱	86018	113678	1	null
-113681	低温	65639	20302	2	{n=9}
-113682	不禁	65826	19981	2	{d=19}
-113683	意莫高于爱民	65536	113680	3	{l=1, n=0}
-113684	吉人	70361	21513	1	null
-113685	意见书	65536	145599	3	{n=0}
-113686	意识形	89110	146116	1	null
-113687	意识形态	65536	113686	3	{l=4}
-113688	意马心	84187	149866	1	null
-113689	午饭	65536	21320	3	{n=5}
-113690	意马心猿	65536	113688	3	{i=0}
-113691	呈送	65536	21576	3	{v=0}
-113692	尿炕	65536	23615	3	{v=0}
-113693	愕然	65536	24853	3	{a=1, an=1}
-113694	咽镜	65536	21693	3	{n=0}
-113695	愚不可	92248	114438	1	null
-113696	十佳	65536	21313	3	{j=13}
-113697	倒灌	65536	20498	3	{v=1}
-113698	愚不可及	65536	113695	3	{i=0}
-113699	恰克	83424	24688	1	null
-113700	惶惑	65536	24822	3	{a=1, an=0}
-113701	寸步	86420	23544	1	null
-113702	帅才	65536	24069	3	{n=0}
-113703	愚人节	65536	114611	3	{t=0}
-113704	基本词	69950	131753	2	{n=0}
-113705	包公	65536	21253	3	{n=0, nr=0}
-113706	听任	65536	21548	3	{v=2}
-113707	微机室	65536	145404	3	{n=0}
-113708	呈递	65536	21576	3	{v=0}
-113709	愚公移	90048	115301	1	null
-113710	人性	65552	20154	2	{n=6}
-113711	威势	65536	23041	3	{n=1}
-113712	吉他	65536	21513	3	{n=0}
-113713	愚公移山	65536	113709	3	{i=0}
-113714	愚昧无	83022	120608	1	null
-113715	愚昧无知	65536	113714	3	{i=1}
-113716	惹不	77360	24825	1	null
-113717	愚民政	82146	122122	1	null
-113718	叫法	65536	21483	3	{n=0}
-113719	怨天怨	90376	115619	1	null
-113720	愚民政策	65536	113717	3	{l=0}
-113721	感人肺	80617	139233	1	null
-113722	感人肺腑	65536	113721	3	{i=1}
-113723	品德	65690	21697	2	{n=10}
-113724	己任	65536	24049	3	{n=6}
-113725	感人至深	65536	114034	3	{i=7}
-113726	感兴趣	65536	139931	3	{a=0}
-113727	孔穴	65536	23380	3	{n=0}
-113728	感冒药	65536	139961	3	{n=0}
-113729	感化院	65536	140349	3	{n=0}
-113730	式样	65536	24335	3	{n=0}
-113731	修行	65536	20462	3	{v=0}
-113732	屈指	86136	23624	2	{v=0}
-113733	幼儿期	65536	113931	3	{t=0}
-113734	听众	65536	21548	3	{n=19}
-113735	感受力	65536	140542	3	{n=0}
-113736	凉粉	65536	20937	3	{n=0}
-113737	惶惶	93581	24822	2	{z=0}
-113738	感同身	92279	140595	1	null
-113739	从简	65536	20174	3	{v=5, vn=0}
-113740	副本	65536	21103	3	{n=0}
-113741	布达拉	85316	154390	1	null
-113742	感同身受	65536	113738	3	{i=1}
-113743	感召力	65536	140563	3	{n=8}
-113744	取之	72544	21462	1	null
-113745	感应电流	65536	121546	3	{l=0}
-113746	代际	65536	20195	3	{n=0}
-113747	感性认	77966	143694	1	null
-113748	感性认识	65536	113747	3	{l=0}
-113749	取乐	65536	21462	3	{v=1}
-113750	实践者	65536	156884	3	{n=5}
-113751	惯偷	65536	24815	3	{n=0}
-113752	云龙	65547	20113	1	null
-113753	感叹句	65536	140576	3	{n=0}
-113754	愈加	65536	24840	3	{d=1}
-113755	市场报	65536	137730	3	{n=4}
-113756	修补	65536	20462	3	{v=1, vn=3}
-113757	工商户	65536	150934	3	{n=2}
-113758	崩溃	65536	23849	3	{v=8, vn=1}
-113759	感恩图	88508	143760	1	null
-113760	卖座	65536	21334	3	{a=0}
-113761	感恩图报	65536	113759	3	{i=0}
-113762	感恩戴德	65536	116629	3	{i=0}
-113763	哪里	65724	21738	2	{r=47}
-113764	感情用	93658	143852	1	null
-113765	感情用事	65536	113764	3	{i=1, l=0}
-113766	奉承	65811	22857	2	{v=0, vn=0}
-113767	尉氏	85235	23561	1	null
-113768	感慨万	92774	144015	1	null
-113769	感慨不已	65536	113774	3	{l=3}
-113770	因小	73338	22240	1	null
-113771	感叹号	65536	140576	3	{n=0}
-113772	感慨万分	65536	113768	3	{i=0}
-113773	宫殿	81373	23467	2	{n=1}
-113774	感慨不	89719	144015	1	null
-113775	关涉	65536	20851	3	{v=0}
-113776	感染力	65536	145658	3	{n=10}
-113777	东魏	65536	19996	3	{t=0}
-113778	感激不	90166	147687	1	null
-113779	感激不尽	65536	113778	3	{l=1}
-113780	尺有	82236	23610	1	null
-113781	感激涕零	65536	121850	3	{i=0}
-113782	兼类	65536	20860	3	{v=0}
-113783	动力	65971	21160	2	{n=57, v=0}
-113784	感生电	85818	149062	1	null
-113785	剪票	65536	21098	3	{v=0}
-113786	奇珍异货	65536	101101	3	{l=0}
-113787	感生电流	65536	113784	3	{n=0}
-113788	尤杯	71114	23588	2	{j=0}
-113789	国务院	76156	135808	2	{n=10, nt=475, t=0}
-113790	感觉器	90343	154352	1	null
-113791	感觉器官	65536	113790	3	{l=0}
-113792	感觉神经	65536	122740	3	{l=0}
-113793	列表	65536	21015	3	{v=0}
-113794	愠怒	65536	24864	3	{v=0}
-113795	印发	65536	21360	3	{v=7, vn=0}
-113796	书生	66028	20070	2	{n=1}
-113797	再造	65749	20877	2	{v=3, vn=0}
-113798	小白鹭	65536	168069	3	{nz=15}
-113799	愣头儿	75062	116394	1	null
-113800	愣头儿青	65536	113799	3	{l=0}
-113801	地质队	65536	152455	3	{n=12}
-113802	复员证	65536	133981	3	{n=0}
-113803	愣头愣脑	65536	117867	3	{z=0}
-113804	培训	68103	22521	2	{n=0, v=79, vn=133}
-113805	恨入	73352	24680	1	null
-113806	愉悦	65536	24841	3	{a=4, an=0}
-113807	感谢信	65536	154953	3	{n=1}
-113808	下阕	65536	19979	3	{n=0}
-113809	愣小子	65536	117125	3	{n=0}
-113810	愣怔怔	65536	118154	3	{z=0}
-113811	不稂	65827	19981	1	null
-113812	凉糕	65536	20937	3	{n=0}
-113813	愤世嫉	93380	113834	1	null
-113814	惟一	65536	24799	3	{b=0}
-113815	叶枝	65536	21494	3	{n=0}
-113816	广州湾	65536	147918	3	{ns=0}
-113817	形成期	65536	135386	3	{n=1}
-113818	庐江	88304	24208	2	{ns=0}
-113819	愤世嫉俗	65536	113813	3	{i=0}
-113820	愤愤不	89644	118712	1	null
-113821	感应圈	65536	143291	3	{n=0}
-113822	多元论	65536	141502	3	{a=0, n=2}
-113823	愤愤不平	65536	113820	3	{i=0}
-113824	书画	65541	20070	2	{n=33}
-113825	慈善家	65536	114485	3	{n=0}
-113826	印台	65536	21360	3	{n=0}
-113827	愿心	65536	24895	3	{n=0}
-113828	埃特	66312	22467	1	null
-113829	小小的	65536	161303	3	{z=17}
-113830	愧对	65536	24871	3	{v=2}
-113831	慈江道	65536	120336	3	{ns=4}
-113832	慈溪市	65536	120923	3	{ns=0}
-113833	刻薄	65536	21051	3	{a=0, an=0}
-113834	愤世	90572	24868	1	null
-113835	品性	65536	21697	3	{n=3}
-113836	慈眉善	83392	123066	1	null
-113837	养目	65540	20859	1	null
-113838	慈眉善目	65536	113836	3	{i=1}
-113839	慌慌张	89488	118684	1	null
-113840	慌慌张张	65536	113839	3	{z=0}
-113841	度德	72564	24230	1	null
-113842	惹事	83594	24825	2	{v=0}
-113843	慌手慌	80796	118939	1	null
-113844	坏蛋	65536	22351	3	{n=2}
-113845	布鲁氏	75067	157657	1	null
-113846	慌手慌脚	65536	113843	3	{i=0}
-113847	慌里慌	89497	131100	1	null
-113848	其身	65552	20854	1	null
-113849	慌里慌张	65536	113847	3	{z=0}
-113850	小米面	65536	169595	3	{n=0}
-113851	寄存	83860	23492	2	{v=1}
-113852	姑息	81891	22993	2	{v=3, vn=0}
-113853	卖弄	65581	21334	2	{v=0}
-113854	叶柄	65536	21494	3	{n=0}
-113855	慎之又	88946	113859	1	null
-113856	慎之又慎	65536	113855	3	{l=1}
-113857	慌乱	65536	24908	3	{a=3, an=2}
-113858	全唐	65538	20840	1	null
-113859	慎之	92407	24910	1	null
-113860	不稳	65547	19981	1	null
-113861	愣住	65536	24867	3	{v=0}
-113862	慎始敬	81407	116803	1	null
-113863	慎始敬终	65536	113862	3	{i=1}
-113864	下降	65536	19979	3	{v=152, vn=17}
-113865	填空	65536	22635	3	{v=0}
-113866	忧心忡	87697	118819	1	null
-113867	下限	65536	19979	3	{n=3}
-113868	人情	66205	20154	2	{n=6}
-113869	慎始而敬	81419	120678	1	null
-113870	壮士	65536	22766	3	{n=3}
-113871	感应场	65536	143291	3	{n=0}
-113872	感光剂	65536	139888	3	{n=0}
-113873	吹毛	66438	21561	1	null
-113874	弥天大谎	65536	110647	3	{i=0}
-113875	慎始而敬终	65536	113869	3	{l=4, n=0}
-113876	慑服	65536	24913	3	{v=0}
-113877	慕光性	65536	113885	3	{n=0}
-113878	座上	86450	24231	1	null
-113879	亲闻	65536	20146	3	{v=1}
-113880	奔放	65536	22868	3	{z=2}
-113881	屏条	65536	23631	3	{n=0}
-113882	慕名而	87417	114593	1	null
-113883	惺惺	93281	24826	1	null
-113884	剪秋	65536	21098	1	null
-113885	慕光	89262	24917	1	null
-113886	慕名而来	65536	113882	3	{l=0}
-113887	恰切	65536	24688	3	{a=0}
-113888	慕尼黑	65536	116688	3	{n=0, ns=6}
-113889	慕田峪	65536	123076	3	{ns=0}
-113890	慢中子	65536	118812	3	{n=0}
-113891	慢动作	65536	119959	3	{n=0}
-113892	慢吞吞	65536	120333	3	{z=0}
-113893	慢悠悠	65536	123535	3	{z=0}
-113894	写道	65536	20889	3	{v=21}
-113895	喧闹	65536	21927	3	{v=2, vn=2}
-113896	取代	65536	21462	3	{v=28}
-113897	慢性子	65536	123414	3	{n=0}
-113898	慢慢吞吞	65536	113913	3	{z=0}
-113899	慢慢悠悠	65536	117115	3	{z=0}
-113900	作文	65538	20316	2	{n=4, v=0}
-113901	慢慢腾腾	65536	125529	3	{z=0}
-113902	听便	65536	21548	3	{v=0}
-113903	慢条斯	84205	125264	1	null
-113904	卤鸡	65536	21348	3	{n=0}
-113905	太平花	65536	119957	3	{n=0}
-113906	下陷	65536	19979	3	{v=0}
-113907	慢条斯理	65536	113903	3	{i=0}
-113908	庆典	65536	24198	3	{n=19}
-113909	劳改	65549	21171	2	{v=0, vn=0}
-113910	慢腾腾	65536	131949	3	{z=1}
-113911	宗教	75236	23447	2	{n=64, nz=0}
-113912	巴西木	65536	158174	3	{n=1}
-113913	慢慢吞	92364	123729	1	null
-113914	慢藏诲	83492	133054	1	null
-113915	慢藏诲盗	65536	113914	3	{i=0}
-113916	卤鸭	65536	21348	3	{n=0}
-113917	川军	65536	24029	3	{n=0}
-113918	作料	65536	20316	3	{n=0}
-113919	慢车道	65536	135509	3	{n=0}
-113920	慈协	65536	24904	3	{j=0}
-113921	含氧	65614	21547	1	null
-113922	农场	67917	20892	2	{n=38}
-113923	慢镜头	65536	137035	3	{n=0}
-113924	土地革	74934	135922	1	null
-113925	哀乐	65536	21696	3	{n=1}
-113926	慧眼独	93080	120228	1	null
-113927	平安无	89077	155371	1	null
-113928	恰到	90114	24688	1	null
-113929	宰牲	72304	23472	1	null
-113930	壮大	65536	22766	3	{a=0, v=25, vn=9}
-113931	幼儿	87334	24188	2	{n=4}
-113932	总参谋长	65536	112755	3	{n=25}
-113933	唇音	65536	21767	3	{n=0}
-113934	含水	65615	21547	1	null
-113935	慧眼独具	65536	113926	3	{l=0}
-113936	听信	65536	21548	3	{v=1}
-113937	助燃	65536	21161	3	{v=0}
-113938	慨当以	88995	116859	1	null
-113939	往复	65536	24448	3	{vd=0}
-113940	录音机	65536	129330	3	{n=0}
-113941	劳教	65666	21171	2	{v=1, vn=2}
-113942	人意	65536	20154	3	{n=1}
-113943	二话	66129	20108	2	{n=0}
-113944	午马	65536	21320	3	{t=0}
-113945	射洪	85180	23556	1	null
-113946	慨当以慷	65536	113938	3	{l=0}
-113947	慨然允	78114	121438	1	null
-113948	慨然允诺	65536	113947	3	{i=0}
-113949	慰劳品	65536	114020	3	{n=0}
-113950	佛释	65536	20315	3	{n=1}
-113951	慧康	65536	24935	3	{nz=0}
-113952	慰安妇	65536	116282	3	{n=0}
-113953	慨叹	65536	24936	3	{v=1, vn=1}
-113954	寄宿	75989	23492	2	{v=0, vn=0}
-113955	慰缭子	65536	125406	3	{n=0}
-113956	室温	65536	23460	3	{n=0}
-113957	境遇	65536	22659	3	{n=2}
-113958	妥妥贴	66071	106352	1	null
-113959	副标	65564	21103	1	null
-113960	心肌炎	65536	172668	3	{n=0}
-113961	慵懒	65536	24949	3	{a=0}
-113962	慷慨	91249	24951	2	{a=3, ad=6, an=0}
-113963	安全岛	65536	147108	3	{n=0}
-113964	慷慨大方	65536	114072	3	{i=0}
-113965	元珠	65544	20803	1	null
-113966	坑洞	65536	22353	3	{n=1}
-113967	威县	65536	23041	3	{ns=0}
-113968	射流	81407	23556	2	{n=0}
-113969	力点	65536	21147	3	{n=0}
-113970	引咎辞	77617	144861	1	null
-113971	慷慨就义	65536	114850	3	{i=0}
-113972	慷慨悲歌	65536	116003	3	{i=1}
-113973	慷慨激昂	65536	119857	3	{i=1}
-113974	寄寓	65536	23492	3	{v=2, vn=0}
-113975	慷慨解囊	65536	126548	3	{i=2}
-113976	催青	65536	20652	3	{v=0}
-113977	冲洗	65536	20914	3	{v=1}
-113978	憋气	65536	24971	3	{a=0}
-113979	吉信	65536	21513	3	{nz=0}
-113980	徐家	83559	24464	1	null
-113981	布拉格	85280	142881	2	{ns=4}
-113982	慷慨陈词	65536	129721	3	{i=0}
-113983	憋足劲	65536	122585	3	{l=1}
-113984	憎恨	65536	24974	3	{v=0}
-113985	下集	65536	19979	3	{n=1}
-113986	憔悴	65536	24980	3	{a=0, an=0}
-113987	憧憬	65536	24999	3	{v=3, vn=1}
-113988	憨态可	88473	117225	1	null
-113989	憨态可掬	65536	113988	3	{i=0, l=2}
-113990	人愿	65536	20154	3	{n=1}
-113991	告发	65536	21578	3	{v=1}
-113992	听候	65536	21548	3	{v=1}
-113993	寿光	82477	23551	2	{ns=2}
-113994	中灶	65536	20013	3	{n=0}
-113995	庚子	65536	24218	3	{m=0, t=0}
-113996	坑洼	65536	22353	3	{a=0, n=0}
-113997	外交部	65595	140581	2	{n=29, nt=48}
-113998	憎恶	65536	24974	3	{v=0}
-113999	憨痴痴	65536	122844	3	{z=0}
-114000	憬悟	65536	25004	3	{v=1}
-114001	憾事	65536	25022	3	{n=1}
-114002	懈怠	65536	25032	3	{a=5, an=1}
-114003	懒洋洋	65536	117665	3	{z=0}
-114004	懒骨头	65536	129342	3	{n=0}
-114005	宁愿	65536	23425	3	{c=2, d=3, v=0}
-114006	低潮	65536	20302	3	{n=1}
-114007	懵懂	65536	25077	3	{v=0}
-114008	懂事	65536	25026	3	{a=5, v=1}
-114009	书痴	65536	20070	3	{n=0}
-114010	慰问信	65536	131231	3	{n=15}
-114011	包办	65536	21253	3	{v=1, vn=0}
-114012	懵里懵	88989	126305	1	null
-114013	岂有	80426	23682	1	null
-114014	引火线	65536	151994	3	{n=0}
-114015	懵里懵懂	65536	114012	3	{z=0}
-114016	弦子	65536	24358	3	{nr=0}
-114017	戆直	65536	25094	3	{a=0}
-114018	戈壁滩	65536	115913	3	{n=8}
-114019	下雨	65559	19979	2	{v=6}
-114020	慰劳	92252	24944	2	{v=1}
-114021	下雪	65536	19979	3	{v=4}
-114022	戈家沟	87576	116670	1	null
-114023	懊丧	65536	25034	3	{vn=0}
-114024	创演	65536	21019	3	{v=2}
-114025	戈家沟村	65536	114022	3	{ns=0}
-114026	坚固	65536	22362	3	{a=0}
-114027	劳斯	65538	21171	1	null
-114028	卡塔	67506	21345	1	null
-114029	宗族	65536	23447	3	{n=0}
-114030	农垦	65536	20892	3	{j=0, n=1}
-114031	戈麦斯	65536	133806	3	{nz=0}
-114032	尼康	80924	23612	1	null
-114033	戊戌变	86175	121634	1	null
-114034	感人至	85580	139233	1	null
-114035	含沙	70501	21547	1	null
-114036	戊戌变法	65536	114033	3	{l=0, nz=0}
-114037	劳方	65536	21171	3	{n=0}
-114038	戊戌政变	65536	118488	3	{n=0}
-114039	戊戌维新	65536	125069	3	{n=0, nz=0}
-114040	戈兰	65536	25096	3	{ns=0}
-114041	强奸罪	65536	150225	3	{n=0}
-114042	慰勉	65536	24944	3	{v=0}
-114043	懦夫	65536	25062	3	{n=0}
-114044	戌狗	65536	25100	3	{t=0}
-114045	威名	65536	23041	3	{n=1}
-114046	不竭	65536	19981	3	{a=1}
-114047	备不	78574	22791	1	null
-114048	不端	65536	19981	3	{a=0}
-114049	弱冷	79338	24369	1	null
-114050	憨厚	65536	25000	3	{a=2, an=0}
-114051	威吓	65536	23041	3	{v=0}
-114052	戍边人	65536	127416	3	{n=2}
-114053	入学	65552	20837	2	{v=9, vd=0, vn=4}
-114054	宗旨	65536	23447	3	{n=56}
-114055	戍守	65536	25101	3	{v=2}
-114056	戎马一生	65536	114063	3	{l=0}
-114057	复合词	65536	133901	3	{n=0}
-114058	戎马倥偬	65536	114612	3	{i=0}
-114059	愈发	65536	24840	3	{d=1}
-114060	冲浪	65536	20914	3	{v=0}
-114061	中点	65536	20013	3	{n=0}
-114062	戎衣	65536	25102	3	{n=1}
-114063	戎马一	84073	118679	1	null
-114064	戎马生涯	65536	124078	3	{i=0}
-114065	忍冬	65536	24525	3	{n=0}
-114066	假牙	65536	20551	3	{n=0}
-114067	含油	65536	21547	3	{vn=2}
-114068	戏园子	65536	127659	3	{n=0}
-114069	戏曲界	65536	131760	3	{n=1}
-114070	戏馆子	65536	144708	3	{n=0}
-114071	兵油	65859	20853	1	null
-114072	慷慨大	87923	113962	1	null
-114073	成交价	65536	155894	3	{n=2}
-114074	成人之	81421	155916	1	null
-114075	成人之美	65536	114074	3	{i=0}
-114076	成仁取	94036	155923	1	null
-114077	成仁取义	65536	114076	3	{i=0}
-114078	戏剧家	65536	126501	3	{n=4}
-114079	塑料袋	65536	104727	3	{n=5}
-114080	填筑	65536	22635	3	{v=0}
-114081	姨母	65536	23016	3	{n=0}
-114082	成份股	65536	155983	3	{n=4}
-114083	始爆	80607	22987	1	null
-114084	成像机	65536	156449	3	{n=6}
-114085	共管	65536	20849	3	{j=0, v=1}
-114086	弧度	65536	24359	3	{n=0}
-114087	实验田	65536	160107	3	{n=0}
-114088	寄居	71173	23492	2	{v=0}
-114089	感慨万千	65536	113768	3	{i=1}
-114090	冲消	65536	20914	3	{v=1}
-114091	宫泽	65536	23467	3	{nr=0}
-114092	成分股	65536	156760	3	{n=2}
-114093	成千上万	65536	114107	3	{i=13}
-114094	寻亲	70713	23547	1	null
-114095	告吹	65536	21578	3	{v=0}
-114096	县府	65536	21439	3	{n=0}
-114097	封建残	86274	133191	1	null
-114098	成千成万	65536	119233	3	{m=0}
-114099	兵法	65536	20853	3	{n=6}
-114100	成功率	65536	156913	3	{n=9}
-114101	唱歌	65536	21809	3	{v=2, vn=1}
-114102	成千累万	65536	126176	3	{i=0}
-114103	不符	65539	19981	2	{v=6}
-114104	冬灌	65536	20908	3	{v=0}
-114105	入定	65536	20837	3	{v=0}
-114106	劈里	66822	21128	1	null
-114107	成千上	94118	157077	1	null
-114108	哈利	68581	21704	1	null
-114109	成名作	65536	157279	3	{n=0}
-114110	成名成家	65536	118897	3	{l=0}
-114111	成员国	65536	157354	3	{n=51}
-114112	庚寅	65536	24218	3	{m=0}
-114113	升旗	65536	21319	3	{v=0, vn=2}
-114114	愈合	65536	24840	3	{v=2, vn=0}
-114115	入室	65540	20837	2	{v=3}
-114116	含泪	65536	21547	3	{v=4, vd=0}
-114117	引航道	65536	156537	3	{n=1}
-114118	奥林	79937	22885	1	null
-114119	成套率	65536	158633	3	{n=2}
-114120	弟弟	65536	24351	3	{n=16}
-114121	川剧	65536	24029	3	{n=1}
-114122	成家立	94129	159240	1	null
-114123	成家立业	65536	114122	3	{i=1}
-114124	成就感	65536	159363	3	{n=1}
-114125	传球	65536	20256	3	{v=0, vn=1}
-114126	成品油	65536	157459	3	{n=3}
-114127	光子	65536	20809	3	{n=1}
-114128	成年人	65536	159942	3	{n=7}
-114129	意气相	88429	138002	1	null
-114130	成年累月	65536	126021	3	{i=1, l=0}
-114131	庸庸	79134	24248	1	null
-114132	成建制	65536	160076	3	{n=2}
-114133	成文法	65536	161753	3	{n=0}
-114134	忘却	65536	24536	3	{v=8, vn=0}
-114135	成昆线	65536	161880	3	{nz=2}
-114136	成本会计	65536	114182	3	{l=0}
-114137	哀伤	65536	21696	3	{an=0}
-114138	不等	65540	19981	2	{a=0, v=8}
-114139	成材林	65536	162210	3	{n=0}
-114140	成果奖	65536	162286	3	{n=2}
-114141	下面	65536	19979	3	{f=23, n=0, s=0}
-114142	微分方	80241	139976	1	null
-114143	卧铺	65543	21351	2	{n=2}
-114144	哥老	74459	21733	1	null
-114145	偏离	65536	20559	3	{v=4}
-114146	取保	65536	21462	3	{v=13, vn=4}
-114147	成本价	65536	162174	3	{n=4}
-114148	壮威	65536	22766	3	{v=1}
-114149	光学	65701	20809	2	{n=4}
-114150	取信	72426	21462	2	{v=3}
-114151	成武县	65536	163256	3	{ns=0}
-114152	总务处	65536	154348	3	{n=1}
-114153	动名	65650	21160	1	null
-114154	成气候	65536	163430	3	{l=0}
-114155	成活率	65536	163725	3	{n=0}
-114156	成熟期	65536	164849	3	{n=1, t=1}
-114157	动向	65536	21160	3	{n=18}
-114158	成百上	92846	166096	1	null
-114159	愿意	65536	24895	3	{v=76, vd=0}
-114160	戎装	65536	25102	3	{n=1}
-114161	成百上千	65536	114158	3	{i=2, l=0, m=1}
-114162	从紧	65536	20174	3	{v=0}
-114163	成矿作	84172	166481	1	null
-114164	成矿作用	65536	114163	3	{l=0}
-114165	成竹在	81152	167243	1	null
-114166	岔气	65536	23700	3	{v=0}
-114167	太空舱	65536	127132	3	{n=0}
-114168	成竹在胸	65536	114165	3	{i=0}
-114169	以礼	65543	20197	1	null
-114170	中焦	65536	20013	3	{n=0}
-114171	成群结对	65536	114174	3	{l=1}
-114172	成群连片	65536	118537	3	{l=1}
-114173	成绩册	65536	168251	3	{n=0}
-114174	成群结	90626	168438	1	null
-114175	太空船	65536	127132	3	{n=1}
-114176	东鳞	65550	19996	1	null
-114177	垂暮	77380	22402	2	{n=0}
-114178	复员费	65536	133981	3	{n=1}
-114179	冲淡	65536	20914	3	{v=3}
-114180	国家环	75940	138133	1	null
-114181	成败利	76138	171895	1	null
-114182	成本会	78391	162174	1	null
-114183	成败利钝	65536	114181	3	{i=0}
-114184	动听	65536	21160	3	{a=5}
-114185	成问题	65536	174144	3	{l=2}
-114186	开发局	65536	160664	3	{n=1}
-114187	卡壳	65536	21345	3	{v=0}
-114188	倒爷	65536	20498	3	{n=0}
-114189	冒进	65536	20882	3	{v=3, vn=0}
-114190	成龙配	91321	176619	1	null
-114191	建筑师	65536	149277	3	{n=4}
-114192	成龙配套	65536	114190	3	{i=2, l=0}
-114193	成都市	65536	172879	3	{ns=12}
-114194	我行我	82164	135603	1	null
-114195	书皮	65536	20070	3	{n=4}
-114196	我行我素	65536	114194	3	{i=0}
-114197	十全	68133	21313	1	null
-114198	光宗	65536	20809	1	null
-114199	戒坛院	65536	120386	3	{ns=0}
-114200	十八	65553	21313	1	null
-114201	座位	74985	24231	2	{n=8}
-114202	十六	65561	21313	1	null
-114203	庆功	86238	24198	2	{v=0, vn=1}
-114204	宋江	68992	23435	1	null
-114205	戒严令	65536	118028	3	{n=0}
-114206	唱段	65536	21809	3	{n=0}
-114207	悲喜剧	65536	131791	3	{n=0}
-114208	戒急用	89685	122636	1	null
-114209	偏移	65536	20559	3	{vn=0}
-114210	戒急用忍	65536	114208	3	{l=3}
-114211	入射	65621	20837	1	null
-114212	崇武	69834	23815	1	null
-114213	戒毒所	65536	125625	3	{n=7}
-114214	戒骄戒	77734	137579	1	null
-114215	戒骄戒躁	65536	114214	3	{i=0}
-114216	不算	65536	19981	3	{v=0}
-114217	坏血	67109	22351	1	null
-114218	奈良	79804	22856	2	{ns=0}
-114219	慧心	65536	24935	3	{n=1}
-114220	呼家	67268	21628	1	null
-114221	懒得	65536	25042	3	{v=3}
-114222	戕害	65536	25109	3	{v=0, vn=0}
-114223	或多或	90655	114249	1	null
-114224	或多或少	65536	114223	3	{d=2}
-114225	太阳宫	65536	134229	3	{ns=0}
-114226	不管	65833	19981	2	{c=45, d=3, v=1}
-114227	响铃	65536	21709	3	{n=0}
-114228	动员	68579	21160	2	{v=56, vn=15}
-114229	奏章	65536	22863	3	{n=0}
-114230	战争贩子	65536	128878	3	{n=0}
-114231	战争史	65536	157496	3	{n=0}
-114232	中煤	65536	20013	3	{j=1}
-114233	恰卡	90145	24688	1	null
-114234	强制性	65536	148367	3	{b=8, d=0, n=0}
-114235	冷嘲	65541	20919	1	null
-114236	战俘营	65536	157831	3	{n=0}
-114237	慈和	65536	24904	3	{a=0}
-114238	坚城	65536	22362	3	{n=1}
-114239	冰场	65536	20912	3	{n=5}
-114240	或然性	65536	120421	3	{n=0}
-114241	取值	65536	21462	3	{v=0}
-114242	战兢兢	65536	158225	3	{z=0}
-114243	卡夫	65536	21345	3	{nz=0}
-114244	冬烘	65536	20908	3	{a=0}
-114245	光密	65536	20809	1	null
-114246	战冰天	88248	158303	1	null
-114247	人所	65611	20154	1	null
-114248	妙方	65536	22937	3	{n=0}
-114249	或多	89113	25110	1	null
-114250	开幕式	65536	163356	3	{n=12}
-114251	尘暴	65536	23576	3	{n=0}
-114252	彩色电	75797	145846	1	null
-114253	亚马	65577	20122	1	null
-114254	屋架	65536	23627	3	{n=0}
-114255	战冰天斗	75623	114246	1	null
-114256	惦挂	65536	24806	3	{v=0}
-114257	战冰天斗雪	91955	114255	1	null
-114258	人手	65536	20154	3	{n=5}
-114259	书目	65536	20070	3	{n=3}
-114260	人才	65635	20154	2	{n=265}
-114261	层次	82693	23618	2	{n=100}
-114262	哈勃	65536	21704	3	{nr=1, nz=8}
-114263	作曲	65562	20316	2	{v=3, vn=1}
-114264	尸横	70427	23608	1	null
-114265	十冬	65537	21313	1	null
-114266	吐蕃	65536	21520	3	{ns=0}
-114267	型钢	65536	22411	3	{n=0}
-114268	冰块	65536	20912	3	{n=3}
-114269	垫补	65536	22443	3	{v=0}
-114270	化整	68867	21270	1	null
-114271	包厢	65536	21253	3	{n=1}
-114272	冰坛	65536	20912	3	{n=1}
-114273	吐蕊	65536	21520	3	{v=1}
-114274	弧形	65536	24359	3	{n=3}
-114275	战冰天斗雪地	65536	114257	3	{l=1, n=0}
-114276	战列舰	65536	158406	3	{n=0}
-114277	启示	69697	21551	2	{v=5, vn=24}
-114278	战利品	65536	158424	3	{n=1}
-114279	延吉	85970	24310	2	{ns=3}
-114280	备件	67218	22791	2	{n=0}
-114281	司炉	65536	21496	3	{n=0}
-114282	战友情	65536	158842	3	{n=1}
-114283	幼功	65536	24188	3	{n=1}
-114284	战天斗	91965	160216	1	null
-114285	战天斗地	65536	114284	3	{i=0, l=1}
-114286	书眉	65536	20070	3	{n=0}
-114287	备份	65536	22791	3	{n=1, v=0}
-114288	划船	65536	21010	3	{v=1, vn=0}
-114289	战役学	65536	161832	3	{n=0}
-114290	战战兢	93457	162503	1	null
-114291	战战兢兢	65536	114290	3	{i=1}
-114292	地下铁	65569	136298	1	null
-114293	化斋	65536	21270	3	{v=0}
-114294	战技术	65536	162607	3	{j=0}
-114295	战无不	81308	163471	1	null
-114296	战无不胜	65536	114295	3	{i=0}
-114297	川北	65536	24029	3	{ns=1}
-114298	战术学	65536	163806	3	{n=1}
-114299	光导	65641	20809	1	null
-114300	战略物资	65536	122327	3	{l=1}
-114301	奶制	79925	22902	1	null
-114302	划艇	65536	21010	3	{n=0}
-114303	战胜国	65536	170379	3	{n=0}
-114304	宇宙船	65536	105515	3	{n=0}
-114305	战败国	65536	173524	3	{n=0}
-114306	戚族	65536	25114	3	{n=0}
-114307	戛然	81528	25115	1	null
-114308	戛然而	86819	114307	1	null
-114309	戛然而止	65536	114308	3	{i=1}
-114310	恒温室	65536	126623	3	{n=0}
-114311	孩童	65536	23401	3	{n=2}
-114312	余缺	65536	20313	3	{n=0}
-114313	弱势	65536	24369	3	{n=2}
-114314	幸福感	65536	121047	3	{n=1}
-114315	戡乱	65536	25121	3	{v=0}
-114316	代顿	65536	20195	3	{nz=5}
-114317	十几	65536	21313	3	{m=79}
-114318	截击机	65536	121671	3	{n=0}
-114319	截止日	65536	128174	3	{n=1}
-114320	截然不	92805	129666	1	null
-114321	截然不同	65536	114320	3	{i=0}
-114322	制成	66912	21046	2	{v=5}
-114323	截煤机	65536	129712	3	{n=0}
-114324	全团	65536	20840	3	{n=1}
-114325	岔河	69724	23700	1	null
-114326	截长补	83626	138955	1	null
-114327	截长补短	65536	114326	3	{i=0}
-114328	截面图	65536	139438	3	{n=0}
-114329	戮力	92814	25134	1	null
-114330	戮力同	89816	114329	1	null
-114331	戮力同心	65536	114330	3	{i=1}
-114332	戴圆履	88292	114421	1	null
-114333	戴圆履方	65536	114332	3	{i=0}
-114334	戴姆勒	65536	115125	3	{nz=0}
-114335	戴帽子	65536	116268	3	{l=0}
-114336	吉兆	65536	21513	3	{n=0}
-114337	低点	65536	20302	3	{n=2}
-114338	奔月	65536	22868	3	{v=1}
-114339	垫被	65536	22443	3	{n=0}
-114340	戴月披	88199	118519	1	null
-114341	听其	65565	21548	1	null
-114342	戴月披星	65536	114340	3	{i=0}
-114343	戴盆望	91520	122549	1	null
-114344	战略区	65536	167444	3	{n=1, s=2}
-114345	戴盆望天	65536	114343	3	{i=0}
-114346	戴绿帽	90972	124654	1	null
-114347	岁数	65536	23681	3	{n=0}
-114348	戴绿帽子	65536	114346	3	{l=0}
-114349	戴罪立	93202	124761	1	null
-114350	战斗力	65536	163398	3	{n=14}
-114351	全国	67556	20840	2	{n=1591, ns=0, r=0}
-114352	减法	65960	20943	2	{n=2}
-114353	戴罪立功	65536	114349	3	{i=0}
-114354	怒气冲天	65536	112439	3	{i=0}
-114355	十分	65536	21313	3	{d=305, t=1}
-114356	录音棚	65536	129330	3	{n=0}
-114357	戴高乐	65536	131783	3	{nr=4}
-114358	安全带	65536	147108	3	{n=6}
-114359	户勤区	65536	121935	3	{j=0}
-114360	剧艺	65536	21095	3	{n=0}
-114361	户政科	65536	126634	3	{j=0}
-114362	户枢不	79493	127245	1	null
-114363	垂杨	70817	22402	1	null
-114364	场地	65536	22330	3	{n=23}
-114365	地方级	65536	142360	3	{b=1}
-114366	户枢不蠹	65536	114362	3	{i=0}
-114367	恢宏壮	77648	113549	1	null
-114368	循序	83252	24490	1	null
-114369	房产主	65536	140924	3	{n=0}
-114370	戴高帽儿	65536	118434	3	{l=0}
-114371	户籍地	65536	132536	3	{n=0}
-114372	房利美	65536	141822	3	{nz=0}
-114373	房委会	65536	143785	3	{j=0}
-114374	场场	65536	22330	3	{q=6}
-114375	宠爱	65536	23456	3	{v=0}
-114376	听写	65536	21548	3	{v=0, vn=0}
-114377	劳服	65536	21171	3	{j=2}
-114378	戳儿	65536	25139	3	{n=0}
-114379	形象思	78547	146219	1	null
-114380	场址	65536	22330	3	{n=0}
-114381	安全帽	65536	147108	3	{n=0}
-114382	哈医	71795	21704	1	null
-114383	低烧	65536	20302	3	{n=0}
-114384	房地产	94392	143109	2	{j=66, n=0}
-114385	含混	74078	21547	2	{a=0}
-114386	房地产业	65536	114384	3	{j=1, n=2}
-114387	冰城	65536	20912	3	{n=2, ns=0}
-114388	房山区	65536	144454	3	{ns=1}
-114389	低热	65536	20302	3	{n=0}
-114390	房改办	65536	146702	3	{j=1}
-114391	房租费	65536	151988	3	{n=0}
-114392	房管员	65536	152438	3	{n=0}
-114393	房贷部	65536	156940	3	{j=0}
-114394	所以然	65536	116254	3	{n=0}
-114395	信步	65536	20449	3	{v=1, vd=0}
-114396	所作所	94373	116373	1	null
-114397	巡展	65536	24033	3	{v=1, vn=0}
-114398	户口册	65536	122190	3	{n=0}
-114399	所作所为	65536	114396	3	{i=5}
-114400	弱化	65536	24369	3	{v=6, vn=0}
-114401	所到之	91614	117097	1	null
-114402	所到之处	65536	114401	3	{l=7}
-114403	宿主	65536	23487	3	{n=0}
-114404	所剩无	93446	117154	1	null
-114405	先民	65536	20808	3	{n=2}
-114406	所剩无几	65536	114404	3	{i=1}
-114407	所向披	75656	117578	1	null
-114408	包含	65536	21253	3	{v=19}
-114409	所向披靡	65536	114407	3	{i=1}
-114410	所向无敌	65536	115228	3	{i=2}
-114411	县志	65536	21439	3	{n=1}
-114412	全场	65536	20840	3	{n=14}
-114413	哈博	65662	21704	1	null
-114414	所得税	84843	120528	2	{n=10}
-114415	农大	65536	20892	3	{j=4}
-114416	光山	66007	20809	2	{ns=1}
-114417	所在国	65536	118369	3	{n=6}
-114418	所得税率	65536	114414	3	{n=1}
-114419	农夫	65536	20892	3	{n=2}
-114420	所有权证	65536	119816	3	{n=2}
-114421	戴圆	90679	25140	1	null
-114422	坦缓	65536	22374	3	{a=0}
-114423	所见所	76029	131322	1	null
-114424	所见所闻	65536	114423	3	{i=3}
-114425	压场	66186	21387	1	null
-114426	扁平足	65536	114562	3	{n=0}
-114427	所有制	65536	122434	3	{n=54}
-114428	扁形动	85140	114801	1	null
-114429	扁形动物	65536	114428	3	{l=0}
-114430	扁桃体	65536	117074	3	{n=1}
-114431	宠物	65536	23456	3	{n=2}
-114432	扇面儿	65536	132102	3	{n=0}
-114433	扇骨子	65536	132940	3	{n=0}
-114434	参天	65536	21442	3	{z=0}
-114435	唐突	65536	21776	3	{v=0}
-114436	扈家	90245	25160	1	null
-114437	念书	65536	24565	3	{v=1}
-114438	愚不	92208	24858	1	null
-114439	下颌	65536	19979	3	{n=0}
-114440	惜别	65536	24796	3	{v=1, vn=0}
-114441	扈家庄	65536	114436	3	{ns=0}
-114442	惯匪	65536	24815	3	{n=0}
-114443	手下人	65536	157965	3	{n=1}
-114444	央行	65536	22830	3	{j=2}
-114445	扉画	65536	25161	3	{n=0}
-114446	手下留情	65536	124330	3	{i=0}
-114447	手不释	93081	157967	1	null
-114448	手不释卷	65536	114447	3	{i=1}
-114449	手书字	65536	158056	3	{n=1}
-114450	手写体	65536	158875	3	{n=0}
-114451	手到擒	89127	159026	1	null
-114452	奋发自	75222	103578	1	null
-114453	下颚	65536	19979	3	{n=0}
-114454	恢弘	65536	24674	3	{a=0}
-114455	币望	87111	24065	2	{v=0}
-114456	径情	80751	24452	1	null
-114457	屋梁	65536	23627	3	{n=0}
-114458	塘边	65536	22616	3	{s=1}
-114459	手到病除	65536	118790	3	{i=0}
-114460	听凭	65536	21548	3	{v=1}
-114461	养神	65536	20859	3	{v=0}
-114462	医理	65536	21307	3	{n=0}
-114463	手势语	65536	159169	3	{n=0}
-114464	唯物	74972	21807	2	{b=0}
-114465	太阳岛	65536	134229	3	{n=0, ns=0}
-114466	手头字	65536	160822	3	{n=0}
-114467	岔流	65536	23700	3	{n=0}
-114468	所在地	65536	118369	3	{n=20}
-114469	手工业	81698	162023	2	{n=2}
-114470	手到擒拿	65536	114451	3	{l=0}
-114471	手工业者	65536	114469	3	{n=0}
-114472	平平淡	81083	156117	1	null
-114473	不粘	65538	19981	1	null
-114474	手工艺品	90838	127877	2	{n=3}
-114475	手工艺品展	65536	114474	3	{n=1}
-114476	手底下	65536	162199	3	{n=0}
-114477	手忙脚	94397	162523	1	null
-114478	手忙脚乱	65536	114477	3	{i=0}
-114479	传略	65536	20256	3	{n=0}
-114480	咖啡色	65536	94507	3	{n=1}
-114481	坚壁	69140	22362	1	null
-114482	手急眼	89932	162599	1	null
-114483	中牟	65559	20013	1	null
-114484	心窝子	65536	171149	3	{n=4}
-114485	慈善	90347	24904	2	{a=7, an=2}
-114486	启程	65536	21551	3	{v=6, vn=0}
-114487	手急眼快	65536	114482	3	{i=0}
-114488	手抄本	65536	163206	3	{n=3}
-114489	手把手	65536	163212	3	{l=1}
-114490	手拉手	65536	163275	3	{l=2}
-114491	弯曲	86265	24367	2	{a=0, an=0, v=0}
-114492	农奴	67918	20892	2	{n=0}
-114493	手持式	65536	163331	3	{b=0}
-114494	唱法	65536	21809	3	{n=1}
-114495	手指字母	65536	115047	3	{l=0}
-114496	咖啡节	65536	94507	3	{n=2}
-114497	手掌心	65536	163470	3	{n=0}
-114498	忽冷	87746	24573	1	null
-114499	冷场	65536	20919	3	{n=0}
-114500	手指头	65536	163337	3	{n=0}
-114501	川口	65536	24029	3	{nr=0}
-114502	垂柳	65536	22402	3	{n=0}
-114503	千丝	69507	21315	1	null
-114504	手推车	65536	163498	3	{n=0}
-114505	下风	65536	19979	3	{n=0}
-114506	手握胜	93459	163555	1	null
-114507	手握胜券	65536	114506	3	{l=1}
-114508	扇动	65536	25159	3	{v=1}
-114509	手携手	65536	163644	3	{l=0}
-114510	手摇钻	65536	163657	3	{n=0}
-114511	农妇	65536	20892	3	{n=3}
-114512	吉凶	65536	21513	3	{a=0, n=1}
-114513	弯月	86271	24367	1	null
-114514	去留	65536	21435	3	{v=3, vn=0}
-114515	手无寸	76438	164066	1	null
-114516	助理	67204	21161	2	{b=0, n=29}
-114517	关灯	65536	20851	3	{v=1}
-114518	多面角	65536	159453	3	{n=0}
-114519	手无寸铁	65536	114515	3	{i=0}
-114520	屈原滩	65536	109788	3	{ns=0}
-114521	冰塔	65536	20912	3	{n=0}
-114522	岁星	65536	23681	3	{n=0}
-114523	备用金	65536	124058	3	{n=0}
-114524	二踢	65538	20108	1	null
-114525	手术刀	65536	164401	3	{n=0}
-114526	嫩绿	65536	23273	3	{b=0}
-114527	听到	65536	21548	3	{v=49}
-114528	手枪套	65536	164524	3	{n=0}
-114529	手榴弹	65536	165046	3	{n=1}
-114530	会理	65766	20250	1	null
-114531	手球场	65536	167685	3	{n=0}
-114532	徐州	87213	24464	2	{nr=1, ns=12}
-114533	惊天地	85502	144322	2	{l=1}
-114534	手电筒	65536	167991	3	{n=3}
-114535	手疾眼	89989	168128	1	null
-114536	园田	65536	22253	3	{n=0}
-114537	完善	65536	23436	3	{a=22, ad=1, an=3, n=0, v=147, vn=13}
-114538	因式	75177	22240	2	{n=0}
-114539	工艺流	76979	162506	1	null
-114540	手提包	65536	163538	3	{n=6}
-114541	压垮	65536	21387	3	{v=0}
-114542	兵源	65536	20853	3	{n=0}
-114543	宿仇	65536	23487	3	{n=0}
-114544	手疾眼快	65536	114535	3	{i=0}
-114545	手续费	65536	170479	3	{n=9}
-114546	弓步	65536	24339	3	{n=0}
-114547	手腕子	65536	171095	3	{n=0}
-114548	手舞足	78125	171296	1	null
-114549	手舞足蹈	65536	114548	3	{i=2}
-114550	很早	91054	24456	1	null
-114551	手艺人	65536	171388	3	{n=0}
-114552	惜力	65536	24796	3	{v=0}
-114553	手足之	89781	174261	1	null
-114554	手足之情	65536	114553	3	{i=0}
-114555	手足无措	65536	120590	3	{i=0}
-114556	养禽	65536	20859	3	{vn=1}
-114557	手风琴	65536	177104	3	{n=2}
-114558	喝问	65536	21917	3	{v=0}
-114559	才华横溢	65536	114565	3	{i=1}
-114560	全城	65536	20840	3	{n=0}
-114561	壮实	65536	22766	3	{a=2}
-114562	扁平	78151	25153	2	{b=0}
-114563	吉利	65536	21513	3	{a=1, n=0}
-114564	忧伤	65536	24551	3	{a=0, an=1}
-114565	才华横	86237	130171	1	null
-114566	懒惰	65536	25042	3	{a=0}
-114567	先河	65536	20808	3	{n=6}
-114568	才华绝代	65536	119864	3	{l=0}
-114569	初一	65536	21021	3	{j=0, n=4, t=3}
-114570	才子佳	94419	132221	1	null
-114571	妙曼	65536	22937	3	{an=0}
-114572	初七	65536	21021	3	{t=1}
-114573	才子佳人	65536	114570	3	{i=0}
-114574	体现	65605	20307	2	{v=162, vn=25}
-114575	才学超	81900	132243	1	null
-114576	才学超群	65536	114575	3	{l=0}
-114577	才德兼	91788	133348	1	null
-114578	初三	65536	21021	3	{n=3, t=8}
-114579	才德兼备	65536	114577	3	{i=0}
-114580	店客	65536	24215	3	{n=0}
-114581	到职	65536	21040	3	{v=0}
-114582	将来	65536	23558	3	{t=24}
-114583	奉新	65536	22857	3	{ns=0}
-114584	才思敏	89123	133450	1	null
-114585	修订	65694	20462	2	{v=20, vn=8}
-114586	才思敏捷	65536	114584	3	{l=0}
-114587	座像	65536	24231	3	{n=0}
-114588	农委	65536	20892	3	{j=2}
-114589	才气横	86269	136513	1	null
-114590	妙语解	65593	124028	1	null
-114591	才气横溢	65536	114589	3	{l=0}
-114592	才疏学	86621	138940	1	null
-114593	慕名	81102	24917	2	{v=5}
-114594	才疏学浅	65536	114592	3	{i=0}
-114595	唯独	65536	21807	3	{d=5}
-114596	嫁祸	83105	23233	1	null
-114597	才貌双	93758	144825	1	null
-114598	才貌双全	65536	114597	3	{l=0}
-114599	才高八	88594	148485	1	null
-114600	店家	65536	24215	3	{n=1}
-114601	才高八斗	65536	114599	3	{i=0}
-114602	扎什伦	90536	122995	1	null
-114603	扎什伦布	91058	114602	2	{n=0}
-114604	扎什伦布寺	65536	114603	3	{ns=0}
-114605	作案	66478	20316	2	{v=4, vn=2}
-114606	扎伊尔	65536	123069	3	{ns=1}
-114607	扎兰屯	65536	123683	3	{n=0}
-114608	千了	65563	21315	1	null
-114609	扎扎实	91161	128001	1	null
-114610	慰唁	65536	24944	3	{v=0}
-114611	愚人	80293	24858	2	{n=0}
-114612	戎马倥	93470	118679	1	null
-114613	契约	80347	22865	2	{n=2}
-114614	初中	65678	21021	2	{n=18}
-114615	扎扎实实	65536	114609	3	{z=24}
-114616	取决	72428	21462	2	{v=1}
-114617	扎拉阿	91637	128124	1	null
-114618	哈吧	65541	21704	1	null
-114619	扎拉阿姆	78499	114617	1	null
-114620	忍受	65536	24525	3	{v=2, vn=1}
-114621	信汇	65536	20449	3	{n=0}
-114622	去病	65536	21435	3	{v=0}
-114623	寿县	65536	23551	3	{ns=1}
-114624	扎拉阿姆贝	80799	114619	1	null
-114625	吉剧	65536	21513	3	{n=0}
-114626	倒班	65536	20498	3	{vd=0}
-114627	冲澡	65536	20914	3	{v=0}
-114628	修词	65652	20462	1	null
-114629	岚皋	65536	23706	3	{ns=0}
-114630	成绩单	65536	168251	3	{n=0}
-114631	扎拉阿姆贝萨	65536	114624	3	{ns=0}
-114632	惩前	85889	24809	1	null
-114633	崇洋	84857	23815	2	{a=1}
-114634	听力	65536	21548	3	{n=4}
-114635	恍恍	88304	24653	1	null
-114636	扎根绳	65536	129516	3	{n=1}
-114637	扎猛子	65536	132302	3	{v=0}
-114638	切点	65536	20999	3	{n=0}
-114639	扎耳朵	65536	135654	3	{a=0}
-114640	扎花女	65536	136292	3	{n=0}
-114641	御寒	76488	24481	2	{v=4, vn=4}
-114642	扑克牌	65536	118275	3	{n=0}
-114643	刀片	65536	20992	3	{n=1}
-114644	心口如	91745	161235	1	null
-114645	信江	65536	20449	3	{ns=0}
-114646	扑朔迷	83484	123852	1	null
-114647	扑朔迷离	65536	114646	3	{i=3}
-114648	扑簌簌	65536	129220	3	{z=1}
-114649	县情	65536	21439	3	{n=0}
-114650	咸豊	65536	21688	3	{t=0}
-114651	循循	89547	24490	1	null
-114652	扑面而	88184	136218	1	null
-114653	扑面而来	65536	114652	3	{l=2}
-114654	打下手	65536	165924	3	{v=0}
-114655	打个比	88617	165955	1	null
-114656	扒开	65536	25170	3	{v=3}
-114657	善待	65536	21892	3	{v=1}
-114658	打个比方	65536	114655	3	{l=0}
-114659	打主意	65536	165972	3	{v=1}
-114660	千人	69518	21315	1	null
-114661	打交道	65536	166077	3	{v=4}
-114662	初九	65536	21021	3	{t=0}
-114663	扇千	65536	25159	3	{nr=0}
-114664	下饭	65536	19979	3	{v=0}
-114665	岁暮	65536	23681	3	{t=1}
-114666	打光棍	93868	166754	1	null
-114667	打光棍儿	65536	114666	3	{l=0}
-114668	打入冷	91202	166782	1	null
-114669	打入冷宫	65536	114668	3	{l=0}
-114670	庚巳	65536	24218	3	{m=0}
-114671	打出手	65536	166931	3	{v=0}
-114672	庇护	84583	24199	2	{v=4, vn=0}
-114673	决裂	65536	20915	3	{v=3}
-114674	坚如	66381	22362	1	null
-114675	外贸额	65536	156601	3	{n=0}
-114676	咖啡茶	65536	94507	3	{n=0}
-114677	打冷枪	65536	166864	3	{l=0}
-114678	打击乐器	65536	114679	3	{l=0}
-114679	打击乐	92558	166932	2	{n=1}
-114680	向珠	65536	21521	3	{nz=0}
-114681	打前站	65536	167014	3	{v=0}
-114682	念佛	65536	24565	3	{v=0}
-114683	打包机	65536	167198	3	{n=0}
-114684	作梗	65536	20316	3	{v=2}
-114685	打卡机	65536	167290	3	{n=0}
-114686	冒里	66877	20882	1	null
-114687	取出	65536	21462	3	{v=5}
-114688	宣传日	65536	117520	3	{n=2}
-114689	店小	89737	24215	1	null
-114690	常州港	65536	143223	3	{ns=3}
-114691	幽默画	65536	147560	3	{n=0}
-114692	打印台	65536	167305	3	{n=0}
-114693	因循	72744	22240	1	null
-114694	打吊针	65536	167459	3	{l=0}
-114695	兼而	65781	20860	1	null
-114696	打呼噜	65536	167573	3	{v=0}
-114697	打哆嗦	65536	167647	3	{v=1}
-114698	徐庄	84833	24464	1	null
-114699	含漱	73007	21547	1	null
-114700	打哈哈	65536	167649	3	{v=0}
-114701	千代	65625	21315	1	null
-114702	打喷嚏	65536	167888	3	{v=1}
-114703	免试	65536	20813	3	{v=0, vd=0}
-114704	恢复期	65536	112907	3	{t=0}
-114705	下首	65536	19979	3	{f=0}
-114706	打嘴巴	65536	168013	3	{l=0}
-114707	中猿	65886	20013	1	null
-114708	感受器	65536	140542	3	{n=0}
-114709	初二	65536	21021	3	{n=3, t=7}
-114710	打圆场	65536	168223	3	{l=1}
-114711	打圈子	65536	168225	3	{l=0}
-114712	打地铺	65536	168265	3	{v=0}
-114713	惩办	65536	24809	3	{v=0}
-114714	打埋伏	65536	168420	3	{v=0}
-114715	打基础	65536	168467	3	{v=5}
-114716	娓娓而	67250	103095	1	null
-114717	初五	65536	21021	3	{t=2}
-114718	打天下	65536	168770	3	{v=1}
-114719	善心	65536	21892	3	{n=0}
-114720	大专院	72960	148397	1	null
-114721	入市	65536	20837	3	{v=1}
-114722	打夯机	65536	168776	3	{n=0}
-114723	打孔机	65536	169325	3	{n=0}
-114724	主碑	65536	20027	3	{n=0}
-114725	打头炮	65536	168781	3	{l=0}
-114726	升格	65536	21319	3	{v=3}
-114727	夕阳	66720	22805	2	{n=7}
-114728	愣劲	65536	24867	3	{n=0}
-114729	打官司	65536	169393	3	{v=1, vn=0}
-114730	哀兵	70075	21696	1	null
-114731	打家劫	81439	169423	1	null
-114732	打家劫舍	65536	114731	3	{i=0}
-114733	初交	65536	21021	3	{n=0}
-114734	冰天	65537	20912	1	null
-114735	打字员	65536	169328	3	{n=0}
-114736	打寒噤	65536	169451	3	{l=0}
-114737	打小报告	65536	114744	3	{l=0}
-114738	导尿	74871	23548	2	{v=0}
-114739	打小算盘	65536	121130	3	{l=0}
-114740	善忘	65536	21892	3	{a=0}
-114741	全境	65536	20840	3	{n=1}
-114742	打底子	65536	170158	3	{v=0}
-114743	医生	65536	21307	3	{n=66}
-114744	打小报	93159	169512	1	null
-114745	千伏	66059	21315	2	{q=7}
-114746	打得火	85841	170416	1	null
-114747	固然	65536	22266	3	{c=18}
-114748	屯河	65536	23663	3	{ns=0}
-114749	地板革	65536	142814	3	{n=0}
-114750	打得火热	65536	114746	3	{i=1}
-114751	打情骂	94325	170718	1	null
-114752	医用	65536	21307	3	{b=5}
-114753	悍妇	65536	24717	3	{n=0}
-114754	压境	65536	21387	3	{v=0}
-114755	岁月	87918	23681	2	{n=45}
-114756	打情骂俏	65536	114751	3	{i=0}
-114757	打成一	85503	171049	1	null
-114758	打成一片	65536	114757	3	{i=3}
-114759	兼职	65536	20860	3	{v=1, vn=3}
-114760	打手势	65536	171108	3	{l=1}
-114761	打折扣	65536	171185	3	{v=2}
-114762	屈服	65536	23624	3	{v=4, vn=0}
-114763	尚方	86214	23578	1	null
-114764	入席	65536	20837	3	{v=0}
-114765	关照	65536	20851	3	{v=5, vn=1}
-114766	打工仔	65536	169982	3	{n=0}
-114767	打抱不	90589	171210	1	null
-114768	打抱不平	65536	114767	3	{i=0}
-114769	打拍子	65536	171238	3	{v=0}
-114770	将校	65536	23558	3	{n=0}
-114771	打招呼	65536	171252	3	{v=5, vn=0}
-114772	奶名	65536	22902	3	{n=0}
-114773	婺绿	65536	23162	3	{n=0}
-114774	打捆机	65536	171359	3	{n=0}
-114775	余脉	65536	20313	3	{n=1}
-114776	恍惚	65536	24653	3	{a=0, ad=0}
-114777	妇女	71984	22919	2	{n=149}
-114778	地下隧	65570	136298	1	null
-114779	哈哈	72916	21704	2	{e=0, o=2}
-114780	打掩护	65536	171458	3	{v=0}
-114781	弄垮	65536	24324	3	{v=0}
-114782	卖报	65536	21334	3	{v=1}
-114783	打摆子	65536	171615	3	{v=0}
-114784	千伶	65564	21315	1	null
-114785	打擂台	65536	171739	3	{v=0}
-114786	打斗片	65536	171952	3	{n=1}
-114787	打样机	65536	172624	3	{n=0}
-114788	打桩机	65536	172674	3	{n=0}
-114789	卷曲	65536	21367	3	{v=0, vn=0}
-114790	岁末	65536	23681	3	{t=30}
-114791	打棍子	65536	172774	3	{l=0}
-114792	卡子	65536	21345	3	{n=0}
-114793	打榧子	65536	172992	3	{v=0}
-114794	打比方	65536	173549	3	{l=0}
-114795	战斗员	65536	163398	3	{n=1}
-114796	打气筒	65536	173613	3	{n=0}
-114797	打江山	65536	173688	3	{l=0}
-114798	塔什	73561	22612	1	null
-114799	工具栏	65536	149959	3	{n=0}
-114800	吉化	65536	21513	3	{j=0}
-114801	扁形	93268	25153	1	null
-114802	尚无	65536	23578	3	{v=0}
-114803	打油诗	65536	173778	3	{n=0}
-114804	打洞机	65536	173879	3	{n=0}
-114805	层流	65536	23618	3	{n=0}
-114806	外国语	65536	142718	3	{n=1}
-114807	打浆机	65536	173919	3	{n=0}
-114808	呼市	65536	21628	3	{j=9}
-114809	悉尼市	65536	115180	3	{ns=0}
-114810	打游击	65536	174161	3	{v=0}
-114811	巫术	65536	24043	3	{n=0}
-114812	打火机	65536	174724	3	{n=0}
-114813	寿命	65536	23551	3	{n=7}
-114814	打照面	65536	174976	3	{l=0}
-114815	哪门	71344	21738	1	null
-114816	打牙祭	65536	175218	3	{l=0}
-114817	打电话	65536	175950	3	{v=29}
-114818	打瞌睡	65536	176549	3	{v=1}
-114819	中环	65536	20013	3	{j=0, s=4}
-114820	初任	65536	21021	3	{b=0}
-114821	千佛	65829	21315	1	null
-114822	打短工	65536	176646	3	{l=0}
-114823	打砸抢	65536	176721	3	{j=0}
-114824	打硬仗	65536	176773	3	{l=3}
-114825	己午	65536	24049	3	{m=0}
-114826	打磨器	65536	176897	3	{n=0}
-114827	交管	65546	20132	2	{j=1}
-114828	打秋风	65536	177124	3	{l=1}
-114829	打算盘	65536	177584	3	{v=0}
-114830	奋翅	77536	22859	1	null
-114831	打群架	65536	178621	3	{v=0}
-114832	打翻身	94650	178708	1	null
-114833	打翻身仗	65536	114832	3	{l=0}
-114834	打耳光	65536	178764	3	{l=0}
-114835	打草惊	80333	179554	1	null
-114836	打草惊蛇	65536	114835	3	{i=0}
-114837	安检站	65536	153084	3	{j=0}
-114838	打落水	85440	179798	1	null
-114839	打落水狗	65536	114838	3	{i=0}
-114840	初伏	65536	21021	3	{t=0}
-114841	打谷机	65536	181840	3	{n=0}
-114842	居士	65536	23621	3	{n=0}
-114843	打赤膊	65536	182141	3	{l=0}
-114844	志丹	90675	24535	1	null
-114845	打躬作	89291	182469	1	null
-114846	如此而	77987	141849	1	null
-114847	定位球	65536	142896	3	{n=0}
-114848	创牌	65952	21019	1	null
-114849	打躬作揖	65536	114845	3	{i=0}
-114850	慷慨就	93930	113962	1	null
-114851	书社	65536	20070	3	{n=0}
-114852	打转儿	65536	182661	3	{v=1}
-114853	光带	65536	20809	3	{n=1}
-114854	打边鼓	65536	182738	3	{l=0}
-114855	厚爱	65536	21402	3	{n=7}
-114856	打退堂	74134	182809	1	null
-114857	打退堂鼓	65536	114856	3	{i=0}
-114858	打通关	65536	182835	3	{l=0}
-114859	打铁趁	85952	184026	1	null
-114860	圈阅	65536	22280	3	{v=0}
-114861	打铁趁热	65536	114859	3	{l=0}
-114862	打雪仗	65536	184579	3	{l=1}
-114863	医疗	65646	21307	2	{n=127, v=0, vn=5}
-114864	己卯	65536	24049	3	{m=0}
-114865	弄堂	65536	24324	3	{n=0}
-114866	入库	65536	20837	3	{v=5, vn=0}
-114867	户口卡	65536	122190	3	{n=1}
-114868	印堂	65536	21360	3	{n=0}
-114869	二轻	65536	20108	3	{j=2}
-114870	吉卜	65592	21513	1	null
-114871	安全性	65536	147108	3	{n=10}
-114872	奸杀	65536	22904	3	{v=1}
-114873	打零工	65536	184591	3	{v=0}
-114874	妇委	81885	22919	2	{j=0}
-114875	打靶场	65536	184719	3	{n=0}
-114876	动因	65536	21160	3	{n=5}
-114877	唯理	65769	21807	1	null
-114878	打饱嗝	94081	185226	1	null
-114879	惟利	87279	24799	1	null
-114880	打饱嗝儿	65536	114878	3	{l=0}
-114881	中班	65536	20013	3	{n=0}
-114882	录像带	65536	111118	3	{n=11}
-114883	太阳帽	65536	134229	3	{n=0}
-114884	好心肠	65536	146302	3	{n=0}
-114885	打马虎	84364	185477	1	null
-114886	入座	65536	20837	3	{v=0}
-114887	千依	65565	21315	1	null
-114888	打马虎眼	65536	114885	3	{l=0}
-114889	居多	65536	23621	3	{v=5, vn=0}
-114890	打鱼郎	65536	186005	3	{n=0}
-114891	打麦场	65536	186559	3	{n=0}
-114892	卡宴	65536	21345	3	{ns=0}
-114893	扔下	65536	25172	3	{v=3}
-114894	保洁	65536	20445	2	{b=1, v=0, vn=0}
-114895	托人情	65536	129444	3	{l=0}
-114896	托儿所	65536	130089	3	{n=8}
-114897	准许	65536	20934	3	{v=3, vn=0}
-114898	善恶	65536	21892	3	{n=3}
-114899	托克逊县	65536	126599	3	{ns=0}
-114900	开小灶	65536	162774	3	{l=0}
-114901	托克托	65536	130101	3	{ns=0}
-114902	卡宾	65834	21345	1	null
-114903	从而	65536	20174	3	{c=178, p=1}
-114904	孕畜	65536	23381	3	{n=0}
-114905	开发式	65536	160664	3	{b=7}
-114906	屠宰率	65536	110191	3	{n=0}
-114907	全天	67037	20840	2	{n=0}
-114908	托尔斯	87022	132862	1	null
-114909	广东省	65536	143884	3	{ns=69}
-114910	托尔斯泰	65536	114908	3	{nr=0}
-114911	托拉司	65536	134579	3	{n=0}
-114912	托莱多	65536	143003	3	{ns=0}
-114913	托运单	65536	146106	3	{n=0}
-114914	宿债	65536	23487	3	{n=0}
-114915	徽州	65536	24509	3	{n=0, ns=0}
-114916	扣人心	90559	115826	1	null
-114917	扣人心弦	65536	114916	3	{i=2}
-114918	扣帽子	65536	119797	3	{v=0}
-114919	下马	65560	19979	2	{v=0}
-114920	扦子	65536	25190	3	{n=0}
-114921	传真	65649	20256	2	{n=23, v=0, vn=0}
-114922	执勤点	65536	124367	3	{n=1}
-114923	执委会	65536	126143	3	{j=0, n=5}
-114924	执政党	65536	129066	3	{n=11}
-114925	执法不严	65536	114935	3	{l=2}
-114926	执法如山	65536	117868	3	{i=1}
-114927	执法必严	65536	119471	3	{l=1}
-114928	呼幺	72359	21628	1	null
-114929	幻影	65536	24187	3	{n=0}
-114930	执行主席	65536	114941	3	{l=1}
-114931	光年	65536	20809	3	{q=2}
-114932	割麦	65536	21106	3	{v=0, vn=0}
-114933	巢湖	65536	24034	3	{ns=3}
-114934	居奇	78297	23621	1	null
-114935	执法不	94920	131008	1	null
-114936	执迷不	90202	140002	1	null
-114937	执迷不悟	65536	114936	3	{i=0}
-114938	太阳年	65536	134229	3	{n=0}
-114939	动土	65536	21160	3	{v=0}
-114940	扩军备	89830	116874	1	null
-114941	执行主	90821	138039	1	null
-114942	扩军备战	65536	114940	3	{l=0}
-114943	扩声器	65536	118751	3	{n=0}
-114944	扩张型	65536	120335	3	{b=1}
-114945	只用	65536	21482	3	{v=3}
-114946	扩胸器	65536	128999	3	{n=0}
-114947	扩音器	65536	134882	3	{n=0}
-114948	怯弱	65536	24623	3	{a=0}
-114949	听取	65536	21548	3	{v=58}
-114950	扪心	81693	25194	1	null
-114951	扪心自	84493	114950	1	null
-114952	奶品	65536	22902	3	{n=0}
-114953	全套	65536	20840	3	{n=1}
-114954	呼应	65536	21628	3	{v=4, vn=1}
-114955	彼岸	65536	24444	3	{n=9}
-114956	扩大会	65536	118806	3	{n=4}
-114957	冷处	65548	20919	1	null
-114958	扪心自省	65536	114951	3	{i=0}
-114959	慷慨陈辞	65536	129721	3	{i=1}
-114960	便血	65536	20415	3	{v=0}
-114961	扫地出	76588	121605	1	null
-114962	屁话	65536	23617	3	{n=0}
-114963	扩展卡	65536	119620	3	{n=0}
-114964	扫地出门	65536	114961	3	{i=0}
-114965	二进	65864	20108	1	null
-114966	徐徐	65536	24464	3	{d=3, nr=0}
-114967	关爱	65536	20851	3	{v=3, vn=4}
-114968	二连	65536	20108	1	null
-114969	扫描仪	65536	124836	3	{n=2}
-114970	哈喇	71245	21704	1	null
-114971	扫帚声	65536	123375	3	{n=0}
-114972	扫雷器	65536	137932	3	{n=0}
-114973	宫灯	65536	23467	3	{n=2}
-114974	扫黄办	65536	139929	3	{j=2}
-114975	扫黄打非	65536	118995	3	{l=16}
-114976	扬中市	65536	132004	3	{ns=0}
-114977	扬名天	94999	133508	1	null
-114978	扬名天下	65536	114977	3	{l=0}
-114979	宣传月	65536	117520	3	{n=1}
-114980	扬声器	65536	134759	3	{n=0}
-114981	光度	65540	20809	2	{n=0}
-114982	扬州市	65536	136021	3	{ns=0}
-114983	囚首	73076	22234	1	null
-114984	屋檐	65536	23627	3	{n=4}
-114985	兴旺	66213	20852	2	{a=15, an=1}
-114986	扬子江	65536	135367	3	{ns=0}
-114987	开关站	65536	160058	3	{n=2}
-114988	卡尔	69930	21345	1	null
-114989	扬扬自	90520	137187	1	null
-114990	农学	67701	20892	2	{n=2}
-114991	扬扬自得	65536	114989	3	{i=0}
-114992	扬水站	65536	139691	3	{n=1}
-114993	扬汤止	87164	139739	1	null
-114994	冷天	65536	20919	3	{t=2}
-114995	便衣	65536	20415	3	{n=1}
-114996	扬汤止沸	65536	114993	3	{i=0}
-114997	扬眉吐气	65536	115000	3	{i=2}
-114998	扬眉捋须	65536	118899	3	{l=1}
-114999	不约	65558	19981	1	null
-115000	扬眉吐	87329	142464	1	null
-115001	扬长而去	65536	115007	3	{i=1}
-115002	壁立	65536	22721	3	{v=0}
-115003	扬长补短	65536	117144	3	{l=0}
-115004	佛门	65536	20315	3	{n=1}
-115005	办证	65536	21150	3	{v=1, vn=0}
-115006	扬长避短	65536	119218	3	{i=3}
-115007	扬长而	93566	150262	1	null
-115008	扭亏为盈	65536	115009	3	{i=0, l=4}
-115009	扭亏为	84600	122075	1	null
-115010	卖掉	65536	21334	3	{v=1}
-115011	扭亏增盈	65536	117669	3	{l=9}
-115012	扭亏解困	65536	130282	3	{l=5}
-115013	庄户	89528	24196	1	null
-115014	扭力天	90836	123111	1	null
-115015	扭力天平	65536	115014	3	{l=0}
-115016	扭扭捏	89596	127161	1	null
-115017	兵火	65536	20853	3	{n=0}
-115018	准谱	65536	20934	3	{n=0}
-115019	扭扭捏捏	65536	115016	3	{z=0}
-115020	扭秧歌	65536	133171	3	{v=1}
-115021	手术台	65536	164401	3	{n=1}
-115022	扭转乾	92651	138680	1	null
-115023	扭转乾坤	65536	115022	3	{i=2}
-115024	扭转形变	65536	119346	3	{l=0}
-115025	农安	66511	20892	2	{ns=0}
-115026	卡尺	65536	21345	3	{n=0}
-115027	埋设	65536	22475	3	{v=1}
-115028	扮演者	65536	123184	3	{n=3}
-115029	扮鬼脸	65536	134488	3	{v=0}
-115030	扯后腿	65536	115053	3	{v=0}
-115031	吐血	65536	21520	3	{v=1}
-115032	夺目	65536	22842	3	{a=1, v=1, vn=0}
-115033	塞外	65536	22622	3	{s=6}
-115034	妇婴	65536	22919	3	{n=0}
-115035	听听	65536	21548	3	{v=5}
-115036	切片	65536	20999	3	{n=0, v=0}
-115037	免责	65536	20813	3	{vn=2}
-115038	扰流板	65536	122967	3	{n=0}
-115039	恭喜	91534	24685	2	{v=0}
-115040	不经	65772	19981	1	null
-115041	外来词	65536	146918	3	{n=0}
-115042	扳倒井	65536	115146	3	{nz=0}
-115043	响音	65536	21709	3	{n=0}
-115044	不结	65774	19981	1	null
-115045	圆桌面	65536	128561	3	{n=0}
-115046	吹灰	74110	21561	1	null
-115047	手指字	86898	163337	1	null
-115048	庸才	65536	24248	3	{n=1}
-115049	扶优扶	90677	131196	1	null
-115050	并行接	88024	146406	1	null
-115051	善意	65536	21892	3	{a=0, n=7}
-115052	呼延	65536	21628	3	{nr=0}
-115053	扯后	81879	25199	1	null
-115054	不绝	65706	19981	1	null
-115055	扶优扶强	65536	115049	3	{l=1}
-115056	扶危济	92801	132309	1	null
-115057	扶危济困	65536	115056	3	{i=2}
-115058	扶善疾	90366	132840	1	null
-115059	免费	65536	20813	3	{n=0, v=18, vd=16, vn=12}
-115060	扶善疾恶	65536	115058	3	{i=0}
-115061	悄悄	90783	24708	2	{d=6}
-115062	大会计	65536	148660	3	{n=1}
-115063	人数	65536	20154	3	{n=101}
-115064	扮作	65536	25198	3	{v=1}
-115065	吸盘	65536	21560	3	{n=1}
-115066	妒贤	78930	22930	1	null
-115067	扶手椅	65536	136111	3	{n=0}
-115068	希伯来	82873	115660	2	{nz=0}
-115069	全始	66704	20840	1	null
-115070	农家	65818	20892	2	{n=30}
-115071	扶摇直	95094	136619	1	null
-115072	扶摇直上	65536	115071	3	{i=1}
-115073	外来语	65536	146918	3	{n=0}
-115074	扶正祛	78043	138439	1	null
-115075	居委	87334	23621	1	null
-115076	亲骨	65537	20146	1	null
-115077	扶正祛邪	65536	115074	3	{i=1}
-115078	全委	67295	20840	2	{j=1}
-115079	扰乱	65536	25200	3	{v=5}
-115080	扶残助	87550	138479	1	null
-115081	扶残助残	65536	115080	3	{j=0}
-115082	扶绥县	65536	143433	3	{ns=0}
-115083	尾声	65536	23614	3	{n=5}
-115084	屏气	86690	23631	2	{v=0}
-115085	二道	65536	20108	1	null
-115086	人文	66154	20154	2	{n=20}
-115087	宰相	85672	23472	2	{n=1}
-115088	劳动者	65536	109156	3	{n=36}
-115089	扶老携	90903	143717	1	null
-115090	平方根	65536	157979	3	{n=0}
-115091	扶老携幼	65536	115089	3	{i=1}
-115092	佛陀	65536	20315	3	{n=0}
-115093	便装	65536	20415	3	{n=1}
-115094	循环小	85479	119776	1	null
-115095	博洛	67424	21338	1	null
-115096	交粮	65536	20132	3	{v=0, vn=1}
-115097	容忍	81244	23481	2	{v=8, vn=0}
-115098	扶贫助困	65536	115154	3	{l=2}
-115099	扶贫帮困	65536	118103	3	{j=11}
-115100	扶贫济困	65536	121975	3	{l=17}
-115101	扶风县	65536	150066	3	{ns=0}
-115102	主程	65536	20027	1	null
-115103	批准书	65536	127234	3	{n=0}
-115104	夺眶	68303	22842	1	null
-115105	五短	65542	20116	1	null
-115106	批判性	65536	127328	3	{b=0, n=5}
-115107	批办制	65536	127450	3	{n=2}
-115108	书稿	65536	20070	3	{n=1}
-115109	批处理	65536	129088	3	{v=0}
-115110	找上门	65536	119132	3	{v=4}
-115111	批评家	65536	142080	3	{n=4}
-115112	找出路	65536	120140	3	{l=1}
-115113	找麻烦	65536	139789	3	{v=0}
-115114	右边	65536	21491	3	{f=1}
-115115	承上启	95138	137761	1	null
-115116	听命	65536	21548	3	{v=0}
-115117	承上启下	65536	115115	3	{i=0}
-115118	悠哉	84940	24736	1	null
-115119	安全感	65536	147108	3	{n=4}
-115120	外国货	65536	142718	3	{n=1}
-115121	包围	66570	21253	2	{v=12, vn=1}
-115122	布宜诺斯艾利斯省	65536	108722	3	{ns=0}
-115123	承债式	65536	138321	3	{n=1}
-115124	存款簿	65536	128675	3	{n=0}
-115125	戴姆	93132	25140	1	null
-115126	岂止	65536	23682	3	{d=0, v=4}
-115127	承先启	93611	138591	1	null
-115128	导航灯	65536	124445	3	{n=0}
-115129	承先启后	65536	115127	3	{i=0}
-115130	妖物	65536	22934	3	{n=0}
-115131	承前启	93616	138852	1	null
-115132	尚未	65536	23578	3	{d=61}
-115133	律己	65536	24459	3	{v=0}
-115134	承前启后	65536	115131	3	{i=2}
-115135	扩展名	65536	119620	3	{n=0}
-115136	承包责任	94092	131124	1	null
-115137	扼住	65536	25212	3	{v=1}
-115138	承包责任制	65536	115136	3	{n=1}
-115139	包圆	65536	21253	3	{v=0}
-115140	承发包	65536	139240	3	{j=1}
-115141	初值	65536	21021	3	{n=0}
-115142	坏话	65536	22351	3	{n=0}
-115143	扶贫办	65536	147087	3	{j=3}
-115144	壮工	65536	22766	3	{n=0}
-115145	剪纸	65562	21098	2	{n=13}
-115146	扳倒	94925	25203	2	{v=1}
-115147	承包人	65536	139036	3	{n=2}
-115148	承受力	65536	139246	3	{n=0}
-115149	容态	84375	23481	1	null
-115150	承审员	65536	141240	3	{n=0}
-115151	承德市	65536	142286	3	{ns=2}
-115152	居民点	65536	119744	3	{n=0}
-115153	承租人	65536	148982	3	{n=1}
-115154	扶贫助	92842	147087	1	null
-115155	承诺制	65536	153617	3	{n=3}
-115156	律师	75111	24459	2	{n=39}
-115157	承贷承	78334	153934	1	null
-115158	承贷承还	65536	115157	3	{l=1}
-115159	承载力	65536	154516	3	{n=0}
-115160	情报学	65536	148258	3	{n=0}
-115161	副油	65539	21103	1	null
-115162	承运人	65536	154599	3	{n=1}
-115163	承重墙	65536	155108	3	{n=0}
-115164	技压群	76571	123992	1	null
-115165	劳模	65536	21171	3	{n=23}
-115166	刺激	65647	21050	2	{a=1, v=28, vn=5}
-115167	技压群雄	65536	115164	3	{l=0}
-115168	技工贸	65536	126642	3	{j=0}
-115169	技巧性	65536	126644	3	{n=2}
-115170	技巧运动	65536	127370	3	{l=0}
-115171	技战术	65536	127717	3	{j=1}
-115172	技术作物	65536	115300	3	{l=0}
-115173	批发业	65536	127757	3	{n=1}
-115174	修路	65536	20462	3	{v=9, vn=1}
-115175	技术学校	65536	118382	3	{l=1}
-115176	光彩	65651	20809	2	{a=3, n=8, nz=1}
-115177	技术装备	65536	129997	3	{l=9}
-115178	技校生	65536	129262	3	{n=1}
-115179	州界	65536	24030	3	{n=0}
-115180	悉尼	90743	24713	2	{ns=23}
-115181	技能型	65536	135626	3	{b=2}
-115182	技高一	83580	142245	1	null
-115183	嫡系	65536	23265	3	{n=0}
-115184	光影	65536	20809	3	{n=0}
-115185	开发性	65536	160664	3	{n=2}
-115186	弃掷	65536	24323	3	{v=0}
-115187	中生	65741	20013	1	null
-115188	品数	65536	21697	3	{v=1}
-115189	技高一筹	65536	115182	3	{l=0}
-115190	保温	65629	20445	2	{a=13, an=0}
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-115192	坚守	65536	22362	3	{v=17, vn=1}
-115193	平心静	81569	156453	1	null
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-115195	导师	65536	23548	3	{n=8}
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-115199	不置	65536	19981	1	null
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-115201	抑强扶	90834	118612	1	null
-115202	怯怯	65536	24623	3	{z=0}
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-115205	利普	65550	21033	1	null
-115206	抑扬顿	89822	119430	1	null
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-115210	坚定	77336	22362	2	{a=29, ad=0, an=2, v=23}
-115211	抑菌作	85224	127974	1	null
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-115213	小人物	65536	157890	3	{n=1}
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-115218	取名	65536	21462	3	{v=2}
-115219	岭澳	65536	23725	3	{ns=8}
-115220	抓大放	91660	125688	1	null
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-115223	抑郁寡	87791	131291	1	null
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-115225	售货	75233	21806	2	{v=2, vn=0}
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-115228	所向无	88478	117578	1	null
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-115231	抓耳挠	82099	135684	1	null
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-115234	二部	65551	20108	1	null
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-115243	投其所	92335	146940	1	null
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-115256	徐悲	70772	24464	1	null
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-115275	投袂而	79063	161032	1	null
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-115281	史瓦	65558	21490	1	null
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-115288	投鞭断	87324	164915	1	null
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-115291	威士	78471	23041	1	null
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-115294	共聚	65547	20849	2	{v=0}
-115295	投鼠忌	93179	166822	1	null
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-115300	技术作	85883	129020	1	null
-115301	愚公	82482	24858	1	null
-115302	抖威风	65536	117200	3	{l=0}
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-115304	抖擞精	84237	119981	1	null
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-115309	抗压强	91080	148196	1	null
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-115319	抖动	65536	25238	3	{v=1, vn=1}
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-115321	抗宣队	65536	150268	3	{j=0}
-115322	往年	65536	24448	3	{t=21}
-115323	奶嘴	65536	22902	3	{n=0}
-115324	区直	65536	21306	3	{j=8}
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-115326	志在必	87654	117131	1	null
-115327	抗尘走	94889	150385	1	null
-115328	抗尘走俗	65536	115327	3	{i=0}
-115329	悠闲自得	65536	113169	3	{l=1}
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-115333	妖猴	65536	22934	3	{n=0}
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-115337	抗拒从	95333	152107	1	null
-115338	抗拒从严	65536	115337	3	{l=0}
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-115341	不翼	65559	19981	1	null
-115342	凉苏	65536	20937	1	null
-115343	抗日战	95242	152894	1	null
-115344	序幕	65536	24207	3	{n=23}
-115345	容情	65536	23481	3	{v=0}
-115346	恤金	65536	24676	3	{n=0}
-115347	抗日战争	65536	115343	3	{nz=26}
-115348	抗日救亡	65536	116168	3	{l=0}
-115349	抗旱剂	65536	152906	3	{n=1}
-115350	平均数	65536	154281	3	{n=3}
-115351	抗毒血清	65536	118205	3	{l=0}
-115352	便览	65536	20415	3	{n=0}
-115353	抗滑桩	65536	155178	3	{n=2}
-115354	抗热合	78029	155718	1	null
-115355	川圹	77634	24029	1	null
-115356	亚麻	65588	20122	2	{n=0}
-115357	抗毒素	65536	154411	3	{n=0}
-115358	抗热合金	65536	115354	3	{l=0}
-115359	妇容	65536	22919	3	{n=0}
-115360	哀叫	65536	21696	3	{v=0}
-115361	不耐	65538	19981	1	null
-115362	修身	65939	20462	2	{v=1, vn=0}
-115363	抗生素	65536	156792	3	{n=1}
-115364	彰明	74395	24432	1	null
-115365	抗美援	88969	159463	1	null
-115366	抗美援朝	90256	115365	2	{j=2}
-115367	主笔	65536	20027	3	{n=2, v=0}
-115368	抗美援朝战	95271	115366	1	null
-115369	光怪	65547	20809	1	null
-115370	堤防	65536	22564	3	{n=3}
-115371	元神	65536	20803	1	null
-115372	哀号	65536	21696	3	{n=0, v=0}
-115373	开场白	65536	161537	3	{n=0}
-115374	哀叹	65536	21696	3	{v=1, vn=1}
-115375	岗楼	65536	23703	3	{n=0}
-115376	抗美援朝战争	65536	115368	3	{n=0}
-115377	抗药性	65536	160456	3	{n=2}
-115378	情报局	65536	148258	3	{n=3}
-115379	希世	88816	24076	1	null
-115380	抗菌血清	65536	118229	3	{l=0}
-115381	抗菌素	65536	160549	3	{n=0}
-115382	抗虫棉	65536	161220	3	{n=0}
-115383	抗逆性	65536	163679	3	{n=1}
-115384	抗雪救	86587	165443	1	null
-115385	抗雪救灾	65536	115384	3	{l=5}
-115386	抗震救灾	65536	116722	3	{l=62}
-115387	外来货	65536	146918	3	{n=0}
-115388	宇航	82959	23431	2	{n=3}
-115389	抗静电	65536	165554	3	{vn=0}
-115390	折子戏	65536	143908	3	{n=3}
-115391	座右	71784	24231	1	null
-115392	悍将	65536	24717	3	{n=1}
-115393	折光度	65536	141341	3	{n=0}
-115394	批发价	65536	127757	3	{n=2}
-115395	座号	65536	24231	3	{n=0}
-115396	折戟沉	87600	145651	1	null
-115397	千军	69521	21315	1	null
-115398	兴林	65536	20852	3	{v=0}
-115399	弱国	65536	24369	3	{n=0}
-115400	抗震性	65536	165472	3	{n=0}
-115401	折戟沉沙	65536	115396	3	{i=0}
-115402	折射率	65536	144088	3	{n=0}
-115403	折旧率	65536	146619	3	{n=0}
-115404	不耻	65839	19981	1	null
-115405	折线图	65536	152979	3	{n=0}
-115406	垂死	72050	22402	2	{b=0, d=0, v=0}
-115407	忌恨	65536	24524	3	{v=1, vn=0}
-115408	决计	65536	20915	3	{d=0}
-115409	冲犯	65536	20914	3	{v=0}
-115410	博湖	69600	21338	2	{ns=0}
-115411	抚今追	89280	117209	1	null
-115412	抚今追昔	65536	115411	3	{i=1}
-115413	折叠伞	65536	142004	3	{n=0}
-115414	抚养费	65536	117898	3	{n=1}
-115415	兵燹	65536	20853	3	{n=0}
-115416	抚恤金	65536	121715	3	{n=2}
-115417	尉犁	85236	23561	1	null
-115418	抚躬自	77040	133563	1	null
-115419	大公让	65536	149254	3	{n=0}
-115420	场子	65536	22330	3	{n=1}
-115421	决议	65546	20915	2	{n=62, vn=0}
-115422	抚躬自问	65536	115418	3	{i=0}
-115423	度日	86981	24230	2	{v=3}
-115424	抚顺市	65536	136073	3	{ns=0}
-115425	抛光剂	65536	116810	3	{n=1}
-115426	抛头露	76679	118837	1	null
-115427	书签	65536	20070	3	{n=0}
-115428	入情	66682	20837	1	null
-115429	书简	65536	20070	3	{n=0}
-115430	岸标	65536	23736	3	{n=0}
-115431	态度	65536	24577	3	{n=120}
-115432	扶贫县	65536	147087	3	{n=1}
-115433	抛头露面	65536	115426	3	{i=1}
-115434	抛砖引	85860	126743	1	null
-115435	抛物线	65536	125290	3	{n=0}
-115436	完备	65536	23436	3	{a=6, ad=0, an=0, v=0, vn=0}
-115437	抛砖引玉	65536	115434	3	{i=0}
-115438	抠字眼	65536	115450	3	{v=0}
-115439	抠抠搜	89812	117315	1	null
-115440	抠抠搜搜	65536	115439	3	{l=1}
-115441	抠门儿	65536	130443	3	{a=0}
-115442	抢修班	65536	131636	3	{n=0}
-115443	办起	65536	21150	3	{v=2}
-115444	初八	65536	21021	3	{t=1}
-115445	抢劫犯	65536	132337	3	{n=1}
-115446	初六	65536	21021	3	{t=2}
-115447	抢手货	65536	136337	3	{n=3}
-115448	抢红灯	65536	143592	3	{l=0}
-115449	塔克	72453	22612	1	null
-115450	抠字	84914	25248	1	null
-115451	抢购一	84098	147315	1	null
-115452	抢购一空	65536	115451	3	{l=3}
-115453	射猎	65536	23556	3	{v=0}
-115454	承诺卡	65536	153617	3	{n=1}
-115455	哀告	65536	21696	3	{v=0}
-115456	初具	65588	21021	1	null
-115457	抢镜头	65536	149410	3	{l=0}
-115458	抢险车	65536	149679	3	{n=2}
-115459	护卫舰	65536	137209	3	{n=4}
-115460	护国运	94301	138123	1	null
-115461	护国运动	65536	115460	3	{n=0}
-115462	冰封	65538	20912	1	null
-115463	二重	65560	20108	1	null
-115464	喉镜	65536	21897	3	{n=0}
-115465	恒温性	65536	126623	3	{n=0}
-115466	护城河	65536	138332	3	{n=0, ns=0}
-115467	护士长	65536	138617	3	{n=0}
-115468	卡巴	65537	21345	1	null
-115469	护岸林	65536	139590	3	{n=0}
-115470	护心镜	65536	140369	3	{n=0}
-115471	坏账	65536	22351	3	{n=10}
-115472	人有	65619	20154	1	null
-115473	在所难	76057	122140	1	null
-115474	店张	71633	24215	1	null
-115475	惟命	87283	24799	1	null
-115476	护照者	65536	144885	3	{n=1}
-115477	护理部	65536	145556	3	{n=0}
-115478	书箱	65536	20070	3	{n=1}
-115479	护田林	65536	145854	3	{n=0}
-115480	护目镜	65536	146300	3	{n=0}
-115481	护耳器	65536	148673	3	{n=0}
-115482	护卫艇	65536	137209	3	{n=0}
-115483	定向生	65536	144116	3	{n=0}
-115484	嫩芽	65536	23273	3	{n=0}
-115485	护肤品	65536	148786	3	{n=0}
-115486	塔兰	72570	22612	1	null
-115487	护航舰	65536	149176	3	{n=0}
-115488	护路林	65536	152189	3	{n=0}
-115489	含片	65536	21547	3	{n=0}
-115490	人望	65536	20154	3	{n=0}
-115491	护身法	65536	152377	3	{n=0}
-115492	和平鸽	65536	120371	3	{n=1}
-115493	报了名	65536	156323	3	{v=0}
-115494	报仇雪	90817	156388	1	null
-115495	不肖	65558	19981	2	{b=0}
-115496	传神	65536	20256	3	{a=7}
-115497	报仇雪恨	65536	115494	3	{i=0}
-115498	千刀	69522	21315	1	null
-115499	扒手	65536	25170	3	{n=0}
-115500	导弹	73170	23548	2	{n=18}
-115501	报价单	65536	156436	3	{n=0}
-115502	凉药	65536	20937	3	{n=0}
-115503	报关单	65536	157072	3	{n=2}
-115504	千分	68967	21315	1	null
-115505	抄件	65536	25220	3	{n=0}
-115506	传票	65536	20256	3	{n=1}
-115507	人本	66159	20154	2	{n=1}
-115508	主管	65536	20027	3	{n=34, v=15, vn=77}
-115509	初冬	65536	21021	3	{t=3}
-115510	嫩苗	65536	23273	3	{n=0}
-115511	报刊社	65536	157223	3	{n=0}
-115512	居安	82980	23621	1	null
-115513	报务员	65536	157374	3	{n=0}
-115514	从良	65536	20174	3	{v=0}
-115515	报名点	65536	157738	3	{n=2}
-115516	报告文学	65536	121258	3	{l=13}
-115517	报告会	65536	157799	3	{n=13}
-115518	卡带	65536	21345	3	{n=0}
-115519	大有裨	69658	154787	1	null
-115520	不肯	65536	19981	3	{v=0}
-115521	人机	65938	20154	2	{n=1}
-115522	报国志	65536	158490	3	{n=2}
-115523	不育	65539	19981	1	null
-115524	坦荡	65536	22374	3	{a=4, an=0}
-115525	从艺	65536	20174	3	{v=1, vn=0}
-115526	报国无门	65536	117067	3	{i=0}
-115527	冰层	65536	20912	3	{n=6}
-115528	客运站	65536	144731	3	{n=0}
-115529	备受	65536	22791	3	{ad=0, v=7, vd=0}
-115530	人权	65939	20154	2	{n=27}
-115531	娇娃	65536	23047	3	{n=0}
-115532	戴孝	65536	25140	3	{v=0}
-115533	报复主	95495	159018	1	null
-115534	娇娆	65536	23047	3	{a=0}
-115535	开天辟	87825	162032	1	null
-115536	报复主义	65536	115533	3	{n=0}
-115537	吹牛	65545	21561	2	{v=1}
-115538	中百	65536	20013	3	{nz=0}
-115539	居室	65536	23621	3	{n=6}
-115540	奥津	65536	22885	3	{nr=0}
-115541	忌惮	65536	24524	3	{v=0}
-115542	异形钢管	65536	124992	3	{n=0}
-115543	人材	65536	20154	3	{n=0}
-115544	向着	65536	21521	3	{p=6}
-115545	报幕员	65536	160370	3	{n=0}
-115546	报时器	65536	162323	3	{n=0}
-115547	报春花	65536	162370	3	{n=0}
-115548	压宝	65536	21387	3	{v=0}
-115549	修车	65555	20462	2	{v=2, vn=1}
-115550	彪炳	89779	24426	2	{v=0, z=1}
-115551	惺松	65536	24826	3	{z=0}
-115552	报本坊	65536	162633	3	{ns=0}
-115553	刀痕	65536	20992	3	{n=0}
-115554	完好	79142	23436	2	{a=5}
-115555	报案人	65536	162917	3	{n=5}
-115556	报章杂	91023	167677	1	null
-115557	居家	65536	23621	3	{v=2, vn=0}
-115558	报章杂志	65536	115556	3	{n=1}
-115559	命相	65536	21629	3	{n=0}
-115560	全家	67392	20840	2	{n=32}
-115561	报纸夹	65536	168661	3	{n=0}
-115562	怨声	75953	24616	2	{n=0}
-115563	宝塔菜	65536	123074	3	{n=0}
-115564	人来	66036	20154	1	null
-115565	不胜	65554	19981	2	{d=0, v=1}
-115566	报考者	65536	168992	3	{n=2}
-115567	寻味	65536	23547	3	{v=0}
-115568	报警亭	65536	171907	3	{n=2}
-115569	五禽	65536	20116	1	null
-115570	卖方	65536	21334	3	{n=9}
-115571	悦耳	65536	24742	3	{a=4}
-115572	报话机	65536	172026	3	{n=0}
-115573	报酬率	65536	173449	3	{n=1}
-115574	冰山	65536	20912	3	{n=3}
-115575	人杰	65556	20154	1	null
-115576	寻呼	85003	23547	2	{v=2, vn=11}
-115577	报靶员	65536	174995	3	{n=0}
-115578	亚龙	65539	20122	2	{nz=0}
-115579	婉约	65536	23113	3	{a=0}
-115580	不胫	65560	19981	1	null
-115581	抨击	65536	25256	3	{v=4, vn=1}
-115582	披发左	80643	116995	1	null
-115583	列车	66656	21015	2	{n=115}
-115584	披发左衽	65536	115582	3	{i=0}
-115585	懦弱	65536	25062	3	{ad=0}
-115586	慈姑	65536	24904	3	{n=0}
-115587	初出	65537	21021	1	null
-115588	披头散	94134	118374	1	null
-115589	帕特	71567	24085	1	null
-115590	往往	65536	24448	3	{d=89, v=0}
-115591	披头散发	65536	115588	3	{i=0}
-115592	十四	66627	21313	1	null
-115593	披星戴	89218	121681	1	null
-115594	披星戴月	65536	115593	3	{i=1}
-115595	复合量	65788	133901	1	null
-115596	手到擒来	65536	114451	3	{i=0}
-115597	子午线	65536	131996	3	{n=0}
-115598	不能	65839	19981	2	{d=0, v=439}
-115599	制服	67009	21046	2	{n=2, v=1}
-115600	化学界	65536	111696	3	{n=0}
-115601	恭城	91555	24685	2	{ns=5}
-115602	披沙拣	78275	123339	1	null
-115603	塞子	65536	22622	3	{n=0}
-115604	披沙拣金	65536	115602	3	{i=0}
-115605	修辞	65653	20462	2	{n=1}
-115606	披红挂	91183	127956	1	null
-115607	传种	65536	20256	3	{v=0}
-115608	披红挂彩	65536	115606	3	{l=1}
-115609	娘舅	65536	23064	3	{n=0}
-115610	对比色	65536	152079	3	{n=0}
-115611	凉菜	65536	20937	3	{n=0}
-115612	先烈	65536	20808	3	{n=1}
-115613	交纳	65536	20132	3	{v=19, vn=0}
-115614	塑造	65536	22609	3	{v=36, vn=7}
-115615	披肝沥	82651	128463	1	null
-115616	冰岛	67145	20912	2	{ns=0}
-115617	披肝沥胆	65536	115615	3	{i=0}
-115618	披荆斩	88781	129144	1	null
-115619	怨天	89103	24616	1	null
-115620	初创	65536	21021	3	{v=1, vn=0}
-115621	披荆斩棘	65536	115618	3	{i=2}
-115622	壮心	65536	22766	3	{n=2}
-115623	压寨	68465	21387	1	null
-115624	嫩草	65536	23273	3	{n=0}
-115625	扒拉	65536	25170	3	{v=0}
-115626	抬头纹	65536	118760	3	{n=0}
-115627	卡库	65566	21345	1	null
-115628	中盘	65536	20013	3	{n=7}
-115629	农工	67446	20892	2	{n=2}
-115630	抬轿子	65536	132659	3	{l=0}
-115631	抱不平	65536	119385	3	{v=0}
-115632	抱佛脚	65536	119719	3	{l=1}
-115633	交织	65536	20132	3	{v=7, vn=0}
-115634	书籍	65536	20070	3	{n=32}
-115635	全封	65569	20840	1	null
-115636	冷宫	65536	20919	3	{n=0}
-115637	抱头痛	93897	122240	1	null
-115638	抱头痛哭	65536	115637	3	{i=0}
-115639	抱头鼠窜	65536	126202	3	{i=0}
-115640	抱委屈	65536	122400	3	{a=0}
-115641	怯懦	65536	24623	3	{a=0, an=1}
-115642	壮志	76993	22766	2	{n=2, nr=1}
-115643	寄托	65536	23492	3	{v=9, vn=2}
-115644	冷害	65536	20919	3	{n=0}
-115645	岩洞	65536	23721	3	{n=5}
-115646	抱恨终	92823	124084	1	null
-115647	抱残守	83079	126935	1	null
-115648	抱恨终天	65536	115646	3	{i=0}
-115649	抱残守缺	65536	115647	3	{i=0}
-115650	弃文	86759	24323	1	null
-115651	交给	65536	20132	3	{v=32}
-115652	去秋	65536	21435	3	{t=1}
-115653	抱薪救	86875	133622	1	null
-115654	抱薪救火	65536	115653	3	{i=0}
-115655	参差	71393	21442	2	{a=0}
-115656	中直	65557	20013	2	{j=4}
-115657	抵抗力	65536	128465	3	{n=0}
-115658	抹不开	65536	118102	3	{v=0}
-115659	冷寂	65536	20919	3	{an=0}
-115660	希伯	88599	24076	1	null
-115661	劳民	68550	21171	1	null
-115662	抹脖子	65536	131167	3	{v=0}
-115663	抹香鲸	65536	137442	3	{n=0}
-115664	抹鼻子	65536	138884	3	{v=0}
-115665	抻面	65536	25275	3	{n=0, v=0}
-115666	抽冷子	65536	144341	3	{d=0}
-115667	抽功夫	65536	144573	3	{l=0}
-115668	扁担	65536	25153	3	{n=2}
-115669	婚丧	79935	23130	1	null
-115670	年轻有	89411	165462	1	null
-115671	塔利	68071	22612	1	null
-115672	抽印本	65536	144782	3	{n=0}
-115673	抵押品	65536	128502	3	{n=3}
-115674	孙男	80154	23385	1	null
-115675	抽壮丁	65536	146188	3	{v=0}
-115676	抽样合格	86105	115677	1	null
-115677	抽样合	88992	150101	1	null
-115678	卖春	65536	21334	3	{v=0}
-115679	中看	65536	20013	3	{a=1}
-115680	抽样合格率	65536	115676	3	{n=15}
-115681	抽样调查	65536	130008	3	{l=6}
-115682	娇媚	65536	23047	3	{a=0}
-115683	壮怀	69326	22766	1	null
-115684	抽气机	65536	151090	3	{n=0}
-115685	岩浆	84227	23721	2	{n=1}
-115686	抽水机	65536	151122	3	{n=0}
-115687	抽水马桶	65536	128792	3	{l=0, n=0}
-115688	抽油烟	89263	151255	1	null
-115689	抽油烟机	65536	115688	3	{n=1}
-115690	彼得	88362	24444	1	null
-115691	抽泣声	65536	151297	3	{n=1}
-115692	抽穗期	65536	154741	3	{t=0}
-115693	抽薪止	87862	157640	1	null
-115694	抽薪止沸	65536	115693	3	{i=0}
-115695	抽象代数	65536	115749	3	{n=0}
-115696	抽象劳动	65536	116725	3	{l=0}
-115697	包头	66284	21253	2	{ns=4}
-115698	全局	65596	20840	2	{n=76}
-115699	抽象思维	65536	120159	3	{l=0}
-115700	抽风机	65536	162540	3	{n=0}
-115701	冰峰	65536	20912	3	{n=0}
-115702	妻舅	65536	22971	3	{n=1}
-115703	抿子	65536	25279	3	{n=0}
-115704	拂衣而	94271	127097	1	null
-115705	懒散	65536	25042	3	{a=0, an=0}
-115706	拂衣而去	65536	115704	3	{i=0}
-115707	愿望	65536	24895	3	{n=53}
-115708	拂袖而	94274	127148	1	null
-115709	拂袖而去	65536	115708	3	{i=1}
-115710	押加	65536	25276	3	{n=0}
-115711	拂逆众	90865	129052	1	null
-115712	拂逆众意	65536	115711	3	{i=0}
-115713	其间	65536	20854	3	{f=12, s=1}
-115714	印子	65541	21360	2	{n=0}
-115715	拄杖	65536	25284	3	{v=1}
-115716	扇坠	65536	25159	3	{n=0}
-115717	担不是	65536	119433	3	{v=0}
-115718	担惊受	91123	124230	1	null
-115719	庚戌	65536	24218	3	{m=0}
-115720	担惊受怕	65536	115718	3	{i=2}
-115721	廓落	65536	24275	3	{a=0}
-115722	姨父	65536	23016	3	{n=0}
-115723	工业气	86740	149098	1	null
-115724	担担面	65536	124737	3	{n=0}
-115725	劳动节	65536	109156	3	{t=1}
-115726	担风险	65536	138570	3	{v=0}
-115727	担架员	65536	126002	3	{n=0}
-115728	拆包机	65536	130569	3	{n=0}
-115729	拆墙脚	65536	131997	3	{l=0}
-115730	余蓄	65536	20313	3	{n=0}
-115731	宏愿	65536	23439	3	{n=2}
-115732	婚书	65536	23130	3	{n=0}
-115733	担保书	65536	119897	3	{n=0}
-115734	拇指	65536	25287	3	{n=3}
-115735	修造	65536	20462	3	{v=0}
-115736	忠贞不屈	65536	112217	3	{i=0}
-115737	拆迁户	65536	146117	3	{n=8}
-115738	拈花惹	82130	115768	1	null
-115739	拈花惹草	65536	115738	3	{i=0}
-115740	奖牌	75653	22870	2	{n=18}
-115741	拈轻怕	78422	119042	1	null
-115742	当权者	65536	156691	3	{n=0}
-115743	怎么得	92313	112410	1	null
-115744	兼营	65536	20860	3	{v=2}
-115745	拆迁房	65536	146117	3	{n=3}
-115746	弃旧	88097	24323	1	null
-115747	拈轻怕重	65536	115741	3	{i=0}
-115748	拉丁字	88155	157133	1	null
-115749	抽象代	89727	159359	1	null
-115750	国家科	73395	138133	1	null
-115751	卡式	65538	21345	1	null
-115752	拉丁字母	65536	115748	3	{n=0}
-115753	创痕	65536	21019	3	{n=0}
-115754	拉三扯	93520	157141	1	null
-115755	拉三扯四	65536	115754	3	{i=0}
-115756	太上	70601	22826	1	null
-115757	拉丝机	65536	157161	3	{n=0}
-115758	拂尘	65536	25282	3	{n=0}
-115759	偷营	65536	20599	3	{v=0}
-115760	拉丁美州	65536	125019	3	{n=0}
-115761	娇嫩	79796	23047	2	{a=0}
-115762	拉买卖	65536	157244	3	{v=0}
-115763	备品	65536	22791	3	{n=0}
-115764	困窘	65536	22256	3	{a=0, an=1}
-115765	抛头颅	65536	118837	3	{i=0}
-115766	拉亏空	65536	157275	3	{l=0}
-115767	拉交情	65536	157296	3	{v=0}
-115768	拈花	90913	25288	1	null
-115769	婚事	65536	23130	3	{n=1}
-115770	作法	65536	20316	3	{n=8}
-115771	席梦	84331	24109	1	null
-115772	拉伯蒂	86469	157435	1	null
-115773	拉下水	65536	157143	3	{l=1}
-115774	拉伯蒂特	65536	115772	3	{nz=3}
-115775	完婚	65536	23436	3	{v=0}
-115776	压岁	65542	21387	1	null
-115777	主粮	65536	20027	3	{n=0}
-115778	打击力	65536	166932	3	{n=0}
-115779	人格	65550	20154	2	{n=34}
-115780	拉伸形	94318	157444	1	null
-115781	察看	65536	23519	3	{v=9, vn=0}
-115782	拉伸形变	65536	115780	3	{l=0}
-115783	拉关系	65536	158015	3	{l=0, v=0}
-115784	升汞	65536	21319	3	{n=0}
-115785	实物税	65536	149832	3	{n=0}
-115786	修道	65551	20462	2	{v=0}
-115787	别的	65536	21035	3	{a=0, r=22}
-115788	农庄	65536	20892	3	{n=1}
-115789	悬崖峭	90480	132036	1	null
-115790	拉动力	65536	158324	3	{n=1}
-115791	弥撒	65536	24357	3	{n=2}
-115792	化武	65536	21270	3	{j=0}
-115793	拉各斯	65536	158672	3	{ns=0}
-115794	抒发	65536	25234	3	{v=8, vn=0}
-115795	县政	70037	21439	2	{n=0}
-115796	拉力器	65536	158311	3	{n=0}
-115797	恰好	65536	24688	3	{d=3}
-115798	入户	65536	20837	3	{v=1}
-115799	塞尔	66262	22622	1	null
-115800	拉合尔	91735	158676	2	{ns=5}
-115801	拉合尔市	65536	115800	3	{ns=1}
-115802	恰如	92182	24688	2	{v=1}
-115803	慰问团	65536	131231	3	{n=8}
-115804	拉后腿	65536	158682	3	{v=0}
-115805	拉坎多	83371	159514	1	null
-115806	拉坎多纳	65536	115805	3	{ns=0}
-115807	拉塔基	95690	159776	1	null
-115808	书系	65536	20070	3	{n=6}
-115809	力矩	65536	21147	3	{n=0}
-115810	微处理机	65536	111501	3	{n=0}
-115811	国家税	75239	138133	1	null
-115812	拉塔基亚	65536	115807	3	{ns=0}
-115813	拉家带口	65536	115814	3	{l=1}
-115814	拉家带	94338	160642	1	null
-115815	宿县	65536	23487	3	{ns=1}
-115816	尼斯	65536	23612	3	{ns=0}
-115817	担保人	65536	119897	3	{n=1}
-115818	入手	65536	20837	3	{v=28}
-115819	拉尼那	65536	160776	3	{nz=0}
-115820	拉山头	65536	160829	3	{l=0}
-115821	千千	69524	21315	1	null
-115822	拉希德	65536	161240	3	{nr=1, nz=0}
-115823	席棚	65536	24109	3	{n=0}
-115824	拉巴斯	65536	161216	3	{ns=1}
-115825	千升	65536	21315	3	{q=0}
-115826	扣人	90401	25187	1	null
-115827	宗法	65536	23447	3	{n=0}
-115828	拉帮结	95589	161274	1	null
-115829	姜芋	65536	23004	3	{n=0}
-115830	拉拉扯扯	65536	115848	3	{l=1}
-115831	入托	65536	20837	3	{v=3, vn=0}
-115832	拉家常	65536	160642	3	{v=0}
-115833	婚介	83186	23130	2	{j=0}
-115834	拉拉杂杂	65536	117083	3	{z=0}
-115835	不自	65545	19981	1	null
-115836	奔波	78267	22868	2	{v=8, vn=0}
-115837	塞尺	65536	22622	3	{n=0}
-115838	拉帮结伙	65536	115828	3	{l=0}
-115839	懦怯	65536	25062	3	{a=0}
-115840	拉斯哈里	91775	115841	1	null
-115841	拉斯哈	78516	163195	1	null
-115842	拉斯哈里布	65536	115840	3	{ns=0}
-115843	唐老	65537	21776	1	null
-115844	不至	65711	19981	1	null
-115845	不致	65712	19981	2	{d=1}
-115846	奖状	65536	22870	3	{n=4}
-115847	念叨	65536	24565	3	{v=1}
-115848	拉拉扯	90631	162453	1	null
-115849	拉斯维加	89823	126637	1	null
-115850	决赛	65768	20915	2	{v=12, vn=51}
-115851	千卡	65536	21315	3	{q=0}
-115852	冬眠	65536	20908	3	{v=1, vn=0}
-115853	得意忘	86940	141798	1	null
-115854	拉斯维加斯	65536	115849	3	{ns=0}
-115855	拉普拉	93245	163386	1	null
-115856	拉普拉塔河	65536	115857	3	{ns=0}
-115857	拉普拉塔	88029	115855	1	null
-115858	拉油点	65536	164997	3	{n=2}
-115859	拉法耶	86557	165025	1	null
-115860	巡回赛	65536	112998	3	{n=0}
-115861	奔泻	65536	22868	3	{v=1, vn=0}
-115862	拉法耶特	65536	115859	3	{ns=3}
-115863	尾导	65536	23614	3	{nr=0}
-115864	商业部	65536	127190	3	{n=1, nt=0}
-115865	唇齿	65642	21767	1	null
-115866	会社	65536	20250	3	{n=0}
-115867	冒险	67734	20882	2	{v=2, vd=1, vn=1}
-115868	成品率	65536	157459	3	{n=2}
-115869	拉玛古	86368	166759	1	null
-115870	尼日	86379	23612	1	null
-115871	拉玛古猿	65536	115869	3	{n=0}
-115872	拉皮条	65536	167546	3	{l=0}
-115873	拉祜族	65536	168232	3	{nz=2}
-115874	拉网式	65536	169757	3	{b=0, n=2}
-115875	庆大	71047	24198	1	null
-115876	拉肚子	65536	170086	3	{v=0}
-115877	拉脱维	95756	170237	1	null
-115878	拉脱维亚	95032	115877	2	{ns=7}
-115879	免遭	65536	20813	3	{v=4}
-115880	扼制	65536	25212	3	{v=1}
-115881	拉脱维亚共	94239	115878	1	null
-115882	川奈	65536	24029	3	{ns=0}
-115883	拉脱维亚共和	93615	115881	1	null
-115884	拉脱维亚共和国	65536	115883	3	{ns=0}
-115885	国际私	68600	153124	1	null
-115886	拉萨河畔	65536	119650	3	{ns=0}
-115887	拉西乡	65536	172363	3	{n=0}
-115888	唱片	65536	21809	3	{n=9}
-115889	拉萨市	65536	170996	3	{ns=1}
-115890	拉贾斯	93517	173322	1	null
-115891	拉贾斯坦	78863	115890	1	null
-115892	忌才	65536	24524	3	{v=0}
-115893	拉贾斯坦邦	65536	115891	3	{ns=0}
-115894	人梯	65536	20154	3	{n=0}
-115895	拉近乎	65536	173981	3	{l=0}
-115896	拉郎配	65536	174234	3	{l=4, v=0}
-115897	拉锯战	65536	175355	3	{n=1}
-115898	拉马拉	65536	176696	3	{ns=0}
-115899	忽地	65536	24573	3	{d=0}
-115900	劈风	65539	21128	1	null
-115901	拌浆机	65536	122632	3	{n=0}
-115902	够瞧	69251	22815	1	null
-115903	拍外景	65536	130013	3	{v=0}
-115904	品格	65536	21697	3	{n=15}
-115905	中短	65543	20013	1	null
-115906	拌匀	65536	25292	3	{v=0}
-115907	固疾	65536	22266	3	{n=0}
-115908	拍巴掌	65536	131259	3	{v=0}
-115909	拍手叫好	65536	115915	3	{l=1}
-115910	拍手称快	65536	125648	3	{i=1}
-115911	中石	65541	20013	1	null
-115912	五笔	65576	20116	1	null
-115913	戈壁	85625	25096	2	{n=7}
-115914	初十	65536	21021	3	{t=1}
-115915	拍手叫	93000	132370	1	null
-115916	拍案叫	83440	133903	1	null
-115917	拍案叫绝	65536	115916	3	{i=0}
-115918	拍案而起	65536	127213	3	{i=0}
-115919	功率	66475	21151	2	{n=2}
-115920	拍卖业	65536	128541	3	{n=5}
-115921	拍桌子	65536	133907	3	{v=0}
-115922	弃暗	85132	24323	1	null
-115923	参建	65536	21442	3	{v=1, vn=1}
-115924	拍马屁	65536	146739	3	{v=1}
-115925	拐弯抹	80644	119341	1	null
-115926	拐弯抹角	65536	115925	3	{i=0}
-115927	拍片人	65536	136462	3	{n=1}
-115928	彪炳春	79919	115550	1	null
-115929	对立面	65536	155910	3	{n=1}
-115930	拒之门	93135	116183	1	null
-115931	奔流	65536	22868	3	{v=3, vn=0}
-115932	宗派	85223	23447	2	{n=1}
-115933	十堰	66388	21313	2	{ns=0}
-115934	塞岛	65536	22622	3	{j=0}
-115935	拐骗犯	65536	134549	3	{n=0}
-115936	吐诉	65536	21520	3	{v=0}
-115937	垂涎	77457	22402	2	{v=1}
-115938	冰川	65799	20912	2	{n=1, nz=0}
-115939	取回	65536	21462	3	{v=2}
-115940	害病	65536	23475	3	{v=0}
-115941	拒之门外	65536	115930	3	{i=0, l=3}
-115942	拒人千	78619	116294	1	null
-115943	拒人千里	65536	115942	3	{i=0}
-115944	娇宠	65536	23047	3	{v=0}
-115945	医科	65562	21307	2	{n=18}
-115946	娇客	65536	23047	3	{n=0}
-115947	拒腐防	94485	129244	1	null
-115948	小试锋	73643	173533	1	null
-115949	拒腐防变	95438	115947	2	{l=10}
-115950	印尼	65591	21360	2	{j=0, ns=77}
-115951	拒腐防变倡	91687	115949	1	null
-115952	拒腐防变倡廉	65536	115951	3	{l=1, n=0}
-115953	威宁	65536	23041	3	{ns=0}
-115954	抬举	65536	25260	3	{v=0}
-115955	始祖	65630	22987	2	{n=0}
-115956	拒谏饰	77209	131995	1	null
-115957	太仓	80981	22826	2	{ns=0}
-115958	冷峭	65536	20919	3	{a=0}
-115959	拒谏饰非	65536	115956	3	{i=0}
-115960	大湖镇	65536	156656	3	{ns=0}
-115961	初印	65536	21021	3	{v=0}
-115962	拓扑学	65536	117709	3	{n=0}
-115963	做贼	65567	20570	1	null
-115964	徒工	65536	24466	3	{n=0}
-115965	拓荒者	65536	126158	3	{n=0}
-115966	借花	65536	20511	1	null
-115967	并行机	65536	146406	3	{n=0}
-115968	不良	65536	19981	2	{a=54, an=0}
-115969	拓蓝纸	65536	126553	3	{n=0}
-115970	千变	69526	21315	1	null
-115971	彝族	65536	24413	3	{nz=26}
-115972	冷峻	65536	20919	3	{an=2, z=3}
-115973	拔地而	79762	124771	1	null
-115974	假种	65536	20551	3	{n=2}
-115975	循环往	88653	119776	1	null
-115976	扩大化	65536	118806	3	{v=1, vn=0}
-115977	拔地而起	65536	115973	3	{i=4}
-115978	先父	65536	20808	3	{n=0}
-115979	拔尖儿	65536	126025	3	{a=0}
-115980	公主	65541	20844	2	{n=17}
-115981	克罗	65565	20811	1	null
-115982	千古	70493	21315	2	{n=3}
-115983	拔火罐	95185	131230	1	null
-115984	拔火罐儿	65536	115983	3	{n=0}
-115985	拔秆剥	89297	133625	1	null
-115986	恐怕	65536	24656	3	{d=24}
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-115988	拔秆剥桃	89164	115985	1	null
-115989	拔秆剥桃棉	65536	115988	3	{n=1}
-115990	心灰意懒	65536	111866	3	{i=0}
-115991	拔秧机	65536	133658	3	{n=0}
-115992	墓碑	65536	22675	3	{n=0}
-115993	卫生球	65536	104874	3	{n=0}
-115994	冒雨	65536	20882	3	{v=6, vd=1}
-115995	拔苗助	77726	135946	1	null
-115996	公之	67478	20844	1	null
-115997	拔苗助长	65536	115995	3	{i=0}
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-115999	拖三拉四	65536	115998	3	{l=0}
-116000	弥散	65536	24357	3	{v=0}
-116001	堵车	65536	22581	3	{v=7, vn=0}
-116002	巡抚	65536	24033	3	{n=0}
-116003	慷慨悲	86504	113962	1	null
-116004	射电	65536	23556	3	{n=0, vn=2}
-116005	宿命	70166	23487	1	null
-116006	奔涌	65536	22868	3	{v=1}
-116007	壁纸	65536	22721	3	{n=2}
-116008	拖儿带	93110	131357	1	null
-116009	拖儿带女	65536	116008	3	{i=0}
-116010	意味着	65536	131953	3	{v=50}
-116011	妄称	65536	22916	3	{v=0}
-116012	巡护	65536	24033	3	{v=0, vn=1}
-116013	师范生	65536	143458	3	{n=0}
-116014	拖后腿	65536	132076	3	{l=0, v=0}
-116015	友谊	67164	21451	2	{n=63, nz=8}
-116016	拖家带	94543	134036	1	null
-116017	念咒	65536	24565	3	{v=0}
-116018	拖家带口	65536	116016	3	{l=0}
-116019	拖拉机	65536	135847	3	{n=24, q=1}
-116020	拖拖拉	90732	135860	1	null
-116021	拖拖拉拉	65536	116020	3	{z=1}
-116022	做起	65536	20570	3	{v=4}
-116023	拖曳阵	65536	136913	3	{n=0}
-116024	拖泥带	88326	138435	1	null
-116025	拓宽	65536	25299	3	{v=26, vn=0}
-116026	拖泥带水	65536	116024	3	{i=2}
-116027	射界	65536	23556	3	{n=0}
-116028	告密	65850	21578	2	{v=1}
-116029	倒票	65536	20498	3	{v=1}
-116030	庞然	87045	24222	1	null
-116031	幼女	65536	24188	3	{n=10}
-116032	拗不	79226	25303	1	null
-116033	拗不过	65536	116032	3	{v=0}
-116034	拗口令	65536	117526	3	{n=0}
-116035	哀嚎	65536	21696	3	{v=1}
-116036	修配	65580	20462	2	{v=0}
-116037	拘捕权	65536	122686	3	{n=0}
-116038	拚命	65536	25306	3	{v=0}
-116039	承包制	65536	139036	3	{n=2}
-116040	打印头	65536	167305	3	{n=0}
-116041	引人注目	65536	117486	3	{i=23}
-116042	刺猬	65536	21050	3	{n=1}
-116043	拘留所	65536	127298	3	{n=0}
-116044	招兵买	76513	143725	1	null
-116045	招兵买马	65536	116044	3	{i=1}
-116046	吐谷	66001	21520	1	null
-116047	招商引资	65536	116048	3	{l=8}
-116048	招商引	79883	144702	1	null
-116049	招工桌	65536	146909	3	{n=0}
-116050	招投标	65536	148109	3	{j=0}
-116051	夸耀	65536	22840	3	{v=1}
-116052	招摇撞骗	65536	116054	3	{i=0}
-116053	岩溶	65536	23721	3	{n=0}
-116054	招摇撞	76477	148543	1	null
-116055	娇小	73458	23047	2	{a=0}
-116056	招摇过市	65536	127103	3	{i=1}
-116057	哈姆	65542	21704	1	null
-116058	堆金	66501	22534	1	null
-116059	招架不	95760	149422	1	null
-116060	公事	66749	20844	2	{n=0}
-116061	应运而起	65536	109828	3	{i=0}
-116062	心潮翻	78705	168286	1	null
-116063	招架不住	65536	116059	3	{i=0}
-116064	招灾惹	84971	151670	1	null
-116065	招待会	65536	147325	3	{n=85}
-116066	妇幼	65536	22919	3	{j=1, n=2}
-116067	招灾惹祸	65536	116064	3	{i=0}
-116068	妙法	65536	22937	3	{n=0, nr=0}
-116069	华东	66493	21326	2	{ns=12}
-116070	招标会	65536	149503	3	{n=0}
-116071	招生办	65536	152855	3	{j=0}
-116072	招聘会	65536	155728	3	{n=1}
-116073	招蜂引	81396	157434	1	null
-116074	招蜂引蝶	65536	116073	3	{i=0}
-116075	招财进	92624	159002	1	null
-116076	愚味	65536	24858	3	{a=0}
-116077	招财进宝	65536	116075	3	{i=0}
-116078	招贤纳	93316	159004	1	null
-116079	招贤纳士	65536	116078	3	{i=0}
-116080	不苟	65540	19981	1	null
-116081	招贴画	65536	159020	3	{n=0}
-116082	招远县	65536	159700	3	{ns=0}
-116083	悉心	65536	24713	3	{d=5}
-116084	招降纳	94620	161349	1	null
-116085	公交	66327	20844	2	{b=7, j=0}
-116086	华中	65536	21326	3	{ns=1}
-116087	招降纳叛	65536	116084	3	{i=0}
-116088	公产	65536	20844	3	{n=0}
-116089	华丰	65536	21326	3	{nz=0}
-116090	公亩	65536	20844	3	{q=0}
-116091	奶头	65536	22902	3	{n=0}
-116092	招风惹	82484	161990	1	null
-116093	招风惹草	65536	116092	3	{i=0}
-116094	弃权	65536	24323	3	{v=3}
-116095	初叶	65536	21021	3	{f=1, t=1}
-116096	拜伦多	65536	130839	3	{ns=0}
-116097	拜占庭	65536	131921	3	{ns=4}
-116098	拜多阿	65536	133387	3	{ns=0}
-116099	华为	65536	21326	3	{nz=5}
-116100	威尔	80239	23041	1	null
-116101	婚俗	65536	23130	3	{n=0}
-116102	华丽	65536	21326	3	{a=2, an=0, nz=0}
-116103	中碳	65537	20013	1	null
-116104	拜天地	65536	133402	3	{v=1}
-116105	拜年会	65536	134757	3	{n=1}
-116106	拜把兄弟	65536	116108	3	{n=0}
-116107	公人	65536	20844	3	{n=0}
-116108	拜把兄	91755	135803	1	null
-116109	拜泉县	65536	138426	3	{ns=0}
-116110	拜物教	65536	139866	3	{n=0}
-116111	冰床	65536	20912	3	{n=0}
-116112	全州	66108	20840	2	{n=7}
-116113	拜科努	92542	141762	1	null
-116114	拜科努尔	65536	116113	3	{ns=1}
-116115	拜金主	96075	147906	1	null
-116116	拜金主义	65536	116115	3	{n=3}
-116117	动容	65536	21160	3	{v=2}
-116118	弘治	65536	24344	3	{t=0}
-116119	公仆	65536	20844	3	{n=27}
-116120	冰库	65536	20912	3	{n=0}
-116121	妙语连	72542	124028	1	null
-116122	寂苦	65536	23490	3	{a=0}
-116123	塌陷	75415	22604	2	{v=2, vn=0}
-116124	拟于不	95863	119372	1	null
-116125	拟于不伦	65536	116124	3	{i=0}
-116126	塔台	65536	22612	3	{n=0}
-116127	喉音	65536	21897	3	{n=0}
-116128	因故	65536	22240	3	{d=3}
-116129	农忙	65536	20892	3	{n=2}
-116130	拟声词	65536	122030	3	{n=0}
-116131	化油	66775	21270	1	null
-116132	拢共	65536	25314	3	{d=0}
-116133	拣佛	87232	25315	1	null
-116134	千呼	69531	21315	1	null
-116135	拣佛烧	76815	116133	1	null
-116136	拣佛烧香	65536	116135	3	{i=0}
-116137	拥军优	92495	117062	1	null
-116138	坚强	77337	22362	2	{a=28, ad=0, an=1, v=0}
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-116140	威尼	76977	23041	1	null
-116141	拥军优属	65536	116137	3	{l=8}
-116142	拥挤不	93573	121551	1	null
-116143	拥挤不堪	65536	116142	3	{i=1}
-116144	拥政爱	88481	122090	1	null
-116145	封建王	80192	133191	1	null
-116146	拥政爱民	65536	116144	3	{l=9}
-116147	拥有率	65536	122548	3	{n=2}
-116148	全市	65536	20840	3	{n=184}
-116149	拦污栅	65536	125762	3	{n=0}
-116150	拦河坝	65536	125844	3	{n=0}
-116151	塔吉	76941	22612	1	null
-116152	塔吊	65536	22612	3	{n=2}
-116153	季节	80704	23395	2	{n=34}
-116154	拦洪坝	65536	125963	3	{n=0}
-116155	拦海大	93791	126040	1	null
-116156	拦海大坝	65536	116155	3	{n=0}
-116157	奶奶	65536	22902	3	{n=35}
-116158	扰动	65536	25200	3	{vn=2}
-116159	拦路虎	65536	134352	3	{n=1}
-116160	养老	67291	20859	2	{v=3, vn=10}
-116161	拦道木	65536	134964	3	{n=0}
-116162	拨乱反	88672	121402	1	null
-116163	拨乱反正	65536	116162	3	{i=3}
-116164	拨云见	90080	121434	1	null
-116165	拨云见日	65536	116164	3	{i=0}
-116166	拨号盘	65536	122816	3	{n=0}
-116167	拨浪鼓	65536	129331	3	{n=0}
-116168	抗日救	95219	152894	1	null
-116169	拨火棍	65536	130100	3	{n=0}
-116170	择业观	65536	116431	3	{n=2}
-116171	因数	65536	22240	3	{n=0}
-116172	择优录	86186	116685	1	null
-116173	体积	65536	20307	3	{n=3}
-116174	帽盔	65536	24125	3	{n=0}
-116175	奶妈	65536	22902	3	{n=0}
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-116177	拓展	65536	25299	3	{v=26, vn=6}
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-116239	哄骗	65536	21700	3	{v=1}
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-116245	拾遗补	77822	133107	1	null
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-116252	拿三搬	94021	125765	1	null
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-116293	挂一漏	96320	145623	1	null
-116294	拒人	94627	25298	1	null
-116295	挂一漏万	65536	116293	3	{i=0}
-116296	地震震	66286	154982	1	null
-116297	恐慌	65536	24656	3	{a=1, an=9}
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-116299	和事	65858	21644	1	null
-116300	墙皮	65536	22681	3	{n=1}
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-116304	公使	65574	20844	2	{n=4}
-116305	因时	75132	22240	1	null
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-116307	挂羊头	94977	158305	1	null
-116308	拐卖	65536	25296	3	{v=1}
-116309	挂号信	65536	147150	3	{n=0}
-116310	拾人	86965	25342	1	null
-116311	挂羊头卖	86914	116307	1	null
-116312	听天	65669	21548	1	null
-116313	挂羊头卖狗	83413	116311	1	null
-116314	剪草	65882	21098	1	null
-116315	害眼	65536	23475	3	{v=0}
-116316	公例	65536	20844	3	{n=0}
-116317	延寿	88601	24310	2	{ns=0}
-116318	挂羊头卖狗肉	65536	116313	3	{i=0, l=2, n=0}
-116319	奶娘	65536	22902	3	{n=0}
-116320	挂职支	90376	158499	1	null
-116321	挂职支教	65536	116320	3	{l=1}
-116322	五粮	65537	20116	1	null
-116323	广告栏	65536	145466	3	{n=3}
-116324	拒付	65536	25298	3	{v=1}
-116325	挂衣钩	65536	160570	3	{n=0}
-116326	承包单	65536	139036	3	{n=0}
-116327	居庸	86738	23621	1	null
-116328	指不胜屈	65536	125868	3	{i=0}
-116329	因明	65536	22240	3	{n=0}
-116330	指不定	65536	150322	3	{d=0}
-116331	指东说	81133	150337	1	null
-116332	指东说西	65536	116331	3	{i=0}
-116333	元素	65536	20803	3	{n=4}
-116334	指令性	65536	150537	3	{n=5}
-116335	志同	75168	24535	1	null
-116336	功用	65536	21151	3	{n=1}
-116337	养育	65536	20859	3	{v=5, vn=0}
-116338	和亲	65536	21644	3	{v=0}
-116339	拙作	65536	25305	3	{n=0}
-116340	志向	65536	24535	3	{n=1}
-116341	指南车	65536	151676	3	{n=1}
-116342	包容	65536	21253	3	{v=4, vn=0}
-116343	座垫	65536	24231	3	{n=0}
-116344	指名道	93352	151858	1	null
-116345	宪章	65536	23466	3	{n=30}
-116346	喉风	65536	21897	3	{n=0}
-116347	指名道姓	65536	116344	3	{i=0}
-116348	指头肚	95551	153177	1	null
-116349	录放	84538	24405	2	{vn=1}
-116350	指头肚儿	65536	116348	3	{n=0}
-116351	惩处	65536	24809	3	{v=11, vn=3}
-116352	指战员	65536	155453	3	{n=16}
-116353	吉大	65540	21513	1	null
-116354	指手划脚	65536	116361	3	{i=0}
-116355	不菲	65536	19981	3	{a=2}
-116356	夸脱	65536	22840	3	{q=0}
-116357	指导价	65536	153889	3	{n=24}
-116358	指手画脚	65536	125362	3	{i=2}
-116359	指指点	87503	155692	1	null
-116360	指指点点	65536	116359	3	{v=0}
-116361	指手划	83304	155504	1	null
-116362	寥若	80169	23525	1	null
-116363	指挥若定	65536	131444	3	{i=0}
-116364	指数值	65536	156309	3	{n=1}
-116365	指数函数	65536	116813	3	{l=0}
-116366	指日可	91916	156426	1	null
-116367	尾巴	65536	23614	3	{n=2}
-116368	去粗	69893	21435	1	null
-116369	指日可待	65536	116366	3	{i=3}
-116370	指桑骂	89284	157046	1	null
-116371	冷床	65536	20919	3	{n=0}
-116372	指桑骂槐	65536	116370	3	{i=0}
-116373	所作	89244	25152	1	null
-116374	弄巧	85299	24324	1	null
-116375	导护	65536	23548	3	{v=0}
-116376	导报	65536	23548	3	{n=0}
-116377	指甲心儿	65536	119795	3	{n=0}
-116378	指甲剪	65536	160343	3	{n=0}
-116379	低碳	65538	20302	1	null
-116380	冷库	65536	20919	3	{n=0}
-116381	妇德	65536	22919	3	{n=0}
-116382	指示植物	65536	122860	3	{l=0}
-116383	中秋	65539	20013	2	{t=1}
-116384	倒立	65536	20498	3	{v=2}
-116385	寄放	65536	23492	3	{v=0}
-116386	指纹图	65536	162782	3	{n=0}
-116387	指腹为	93258	163486	1	null
-116388	指腹为婚	65536	116387	3	{i=0}
-116389	中科	65542	20013	2	{j=0}
-116390	指路卡	65536	166676	3	{n=9}
-116391	指鸡骂	86996	170822	1	null
-116392	冒顶	65536	20882	3	{vn=0}
-116393	主编	65536	20027	3	{n=8, v=12, vn=0}
-116394	愣头	93000	24867	1	null
-116395	指鸡骂狗	65536	116391	3	{i=0}
-116396	交臂	65586	20132	1	null
-116397	博爱	69601	21338	2	{n=1, ns=0, nz=3, v=0}
-116398	指鹿为	76867	170916	1	null
-116399	指鹿为马	65536	116398	3	{i=0}
-116400	以至	66156	20197	2	{c=19, d=0, p=0}
-116401	以致	65536	20197	3	{c=11}
-116402	按兵不	95244	122819	1	null
-116403	延展	85428	24310	1	null
-116404	按兵不动	65536	116402	3	{i=0}
-116405	压延	65536	21387	3	{v=0}
-116406	席次	65536	24109	3	{n=0}
-116407	按劳付酬	65536	116414	3	{l=0}
-116408	冒领	65536	20882	3	{v=0, vn=0}
-116409	按劳分配	65536	117228	3	{l=22}
-116410	按劳取酬	65536	117692	3	{l=0}
-116411	按图索	76824	124236	1	null
-116412	兵痞	65536	20853	3	{n=0}
-116413	按图索骥	65536	116411	3	{i=1}
-116414	按劳付	79179	123137	1	null
-116415	便路	65536	20415	3	{n=0}
-116416	指示信	65536	161375	3	{n=1}
-116417	按捺不	96115	127432	1	null
-116418	按捺不住	65536	116417	3	{i=3}
-116419	按方下	82773	128007	1	null
-116420	按方下药	65536	116419	3	{l=0}
-116421	按步就	86746	129459	1	null
-116422	场强	65536	22330	3	{n=0}
-116423	按步就班	65536	116421	3	{i=0}
-116424	按理说	65536	131668	3	{l=2}
-116425	利欲	65536	21033	2	{n=1}
-116426	按摩师	65536	127671	3	{n=0}
-116427	按计划	65536	137711	3	{d=0}
-116428	按质论	96214	138102	1	null
-116429	按质论价	65536	116428	3	{l=0}
-116430	不落	65536	19981	1	null
-116431	择业	80904	25321	2	{v=0, vn=5}
-116432	按资排	79690	138130	1	null
-116433	悄无	90336	24708	1	null
-116434	按资排辈	65536	116432	3	{l=0}
-116435	嫉贤	80293	23241	1	null
-116436	战略学	65536	167444	3	{n=2}
-116437	按部就	86761	139062	1	null
-116438	按部就班	65536	116437	3	{i=2}
-116439	按需分	79243	140622	1	null
-116440	按需分配	65536	116439	3	{l=1}
-116441	危禁	69479	21361	1	null
-116442	和会	65536	21644	3	{j=1, n=3}
-116443	挎包	65536	25358	3	{n=1}
-116444	挑三拣	94214	131690	1	null
-116445	安身立	83430	162791	1	null
-116446	公倍	65551	20844	1	null
-116447	中程	65536	20013	3	{b=0}
-116448	复兴门	65536	133241	3	{ns=0}
-116449	挑三拣四	65536	116444	3	{i=0}
-116450	挑三窝四	65536	122518	3	{i=0}
-116451	挑大梁	65536	134536	3	{l=2}
-116452	挑字眼	65536	135096	3	{v=0}
-116453	博物	65563	21338	2	{n=0}
-116454	挑战者杯	65536	129166	3	{n=0}
-116455	恋家	65536	24651	3	{v=0}
-116456	挑拨离	78069	137033	1	null
-116457	挑拨离间	65536	116456	3	{i=0}
-116458	持久	95136	25345	2	{a=29, ad=2, an=0}
-116459	挑毛拣	95410	139324	1	null
-116460	挑毛拣刺	65536	116459	3	{l=0}
-116461	主罚	65536	20027	3	{v=0}
-116462	压弯	65536	21387	3	{v=0}
-116463	挑战书	65536	136825	3	{n=0}
-116464	持之	96089	25345	1	null
-116465	华侨	65536	21326	3	{n=81}
-116466	挑灯夜	91355	140496	1	null
-116467	挑灯夜战	65536	116466	3	{l=0}
-116468	挑肥拣	86223	144646	1	null
-116469	挑肥拣瘦	65536	116468	3	{i=1}
-116470	挑衅性	65536	146598	3	{n=0}
-116471	扣儿	65536	25187	3	{n=0}
-116472	挑逗性	65536	148600	3	{n=0}
-116473	压强	65546	21387	2	{n=0}
-116474	已然	65536	24050	3	{d=2}
-116475	墓穴	65536	22675	3	{n=2}
-116476	右锋	65536	21491	3	{n=0}
-116477	主罪	65536	20027	3	{n=2}
-116478	挖土机	65536	116700	3	{n=0}
-116479	廉明	65536	24265	3	{a=1}
-116480	挖墙脚	65536	117078	3	{l=1}
-116481	挖掘机	65536	119893	3	{n=1}
-116482	挖空心	91878	125751	1	null
-116483	挖空心思	65536	116482	3	{i=3}
-116484	建管用	65536	149357	3	{l=1}
-116485	庆安	88279	24198	2	{ns=0}
-116486	冰态	65549	20912	1	null
-116487	挖肉补	86362	127302	1	null
-116488	挖肉补疮	65536	116487	3	{i=0}
-116489	挖苦话	65536	127907	3	{n=0}
-116490	挛缩	65536	25371	3	{v=0}
-116491	公债	66550	20844	2	{n=2}
-116492	挚友	65536	25370	3	{n=0}
-116493	挡土墙	65536	118563	3	{n=0}
-116494	挡泥板	65536	124137	3	{n=0}
-116495	中稻	65536	20013	3	{n=0}
-116496	挟制	65536	25375	3	{v=0}
-116497	挡箭牌	65536	127921	3	{n=2}
-116498	挡风遮雨	65536	130794	3	{i=0}
-116499	大喜过	73406	150326	1	null
-116500	宛若	65536	23451	3	{v=5}
-116501	挡风墙	65536	135378	3	{n=1}
-116502	少年犯	65536	131751	3	{n=0}
-116503	挤奶机	65536	120302	3	{n=0}
-116504	公假	65536	20844	3	{n=0}
-116505	挤眉弄	85982	127873	1	null
-116506	挤眉弄眼	65536	116505	3	{i=1}
-116507	挥之即	95074	122369	1	null
-116508	幼子	65536	24188	3	{n=0}
-116509	挥之即去	65536	116507	3	{i=0}
-116510	挥汗如	77881	130061	1	null
-116511	挥发性	65536	123783	3	{n=0}
-116512	快餐店	65536	156452	3	{n=5}
-116513	挥汗如雨	65536	116510	3	{i=1}
-116514	二门	65536	20108	3	{n=0}
-116515	志哀	65536	24535	3	{v=0}
-116516	战略家	65536	167444	3	{n=0}
-116517	挥洒自	93604	130248	1	null
-116518	挥洒自如	65536	116517	3	{i=0}
-116519	戊丑	65536	25098	3	{m=0}
-116520	人次	65536	20154	3	{n=1, q=113}
-116521	人欢	65544	20154	1	null
-116522	挥金如	94220	139655	1	null
-116523	挥金如土	65536	116522	3	{i=0}
-116524	挨个儿	65536	117792	3	{d=1}
-116525	墨城	65536	22696	3	{j=0}
-116526	姑妄言	82704	112081	1	null
-116527	以色	65547	20197	1	null
-116528	必要性	65536	132242	3	{n=6}
-116529	尚沟	80841	23578	1	null
-116530	挨家挨	91389	121260	1	null
-116531	唐花	65536	21776	3	{n=0}
-116532	挨家挨户	65536	116530	3	{i=5}
-116533	挨门挨	91391	136158	1	null
-116534	挨门挨户	65536	116533	3	{d=0}
-116535	挪威王	94267	119105	1	null
-116536	挪威王国	65536	116535	3	{ns=0}
-116537	挫伤	65536	25387	3	{v=8, vn=0}
-116538	挫折感	65536	121517	3	{n=0}
-116539	振兴中华	65536	116542	3	{l=5}
-116540	振兴图强	65536	118799	3	{l=1}
-116541	寸白	71995	23544	1	null
-116542	振兴中	95213	117374	1	null
-116543	振奋人	92029	119381	1	null
-116544	振奋人心	65536	116543	3	{i=1}
-116545	叶片	65536	21494	3	{n=2}
-116546	振振有	80761	121913	1	null
-116547	振耳欲	83705	129341	1	null
-116548	振耳欲聋	65536	116547	3	{i=0}
-116549	振聋发	83679	129365	1	null
-116550	振振有词	65536	116546	3	{i=1}
-116551	挠头	65536	25376	3	{v=0}
-116552	振聋发聩	65536	116549	3	{i=2}
-116553	振臂一	94926	129740	1	null
-116554	振臂一呼	65536	116553	3	{i=1}
-116555	振荡器	65536	130155	3	{n=0}
-116556	挣开	65536	25379	3	{v=0}
-116557	慕容	65536	24917	3	{nr=0}
-116558	中空	65536	20013	3	{s=1, v=1}
-116559	挺身而	95575	133125	1	null
-116560	忧困	65536	24551	3	{an=2}
-116561	挺身而出	65536	116559	3	{i=3}
-116562	捂住	65536	25410	3	{v=2}
-116563	挡住	65536	25377	3	{v=0}
-116564	捂盖子	65536	126681	3	{v=0}
-116565	启航	65536	21551	3	{v=0}
-116566	捅娄子	65536	116571	3	{v=0}
-116567	捅马蜂	85183	133059	1	null
-116568	印度	71557	21360	2	{ns=51}
-116569	哈密	65539	21704	2	{ns=4}
-116570	塞弗	76603	22622	1	null
-116571	捅娄	93190	25413	1	null
-116572	捅马蜂窝	65536	116567	3	{l=0}
-116573	忧国	87681	24551	1	null
-116574	捉拿归	89886	121646	1	null
-116575	挪借	65536	25386	3	{v=0}
-116576	技术员	65536	129020	3	{n=6}
-116577	屠宰税	65536	110191	3	{n=0}
-116578	捆儿	65536	25414	3	{n=1}
-116579	奸淫	65536	22904	3	{v=0}
-116580	审价	65536	23457	3	{v=0, vn=3}
-116581	力竭	65931	21147	1	null
-116582	捉拿归案	65536	116574	3	{i=0}
-116583	捉摸不	93135	122023	1	null
-116584	号码	66495	21495	2	{n=21}
-116585	捉摸不定	65536	116583	3	{i=1}
-116586	州立	65536	24030	3	{b=0}
-116587	利比	68195	21033	1	null
-116588	倒算	65536	20498	3	{v=0}
-116589	人武	65547	20154	2	{j=1}
-116590	建议案	65536	153466	3	{n=3}
-116591	捉襟见	83673	131470	1	null
-116592	二阶	65536	20108	3	{nr=0}
-116593	捉襟见肘	65536	116591	3	{i=2}
-116594	居心	87609	23621	2	{n=0}
-116595	捍卫	65536	25421	3	{v=15, vn=1}
-116596	捍疆卫	94332	125326	1	null
-116597	全心	66712	20840	1	null
-116598	尤物	65536	23588	3	{n=0}
-116599	怅然	78881	24581	2	{d=0}
-116600	报告单	65536	157799	3	{n=0}
-116601	捍疆卫国	65536	116596	3	{l=0}
-116602	只管	65536	21482	3	{d=2, v=2}
-116603	捎带脚	95806	116604	1	null
-116604	捎带	83553	25422	2	{v=2}
-116605	捎带脚儿	65536	116603	3	{d=0}
-116606	捉住	65536	25417	3	{v=0}
-116607	捎马子	65536	132034	3	{n=0}
-116608	捏一把	88876	116652	1	null
-116609	寿宁	85109	23551	1	null
-116610	别离	65536	21035	3	{v=0}
-116611	捏一把汗	65536	116608	3	{l=1}
-116612	捏腔拿	80772	129792	1	null
-116613	党票	65536	20826	3	{n=0}
-116614	投机商	65536	152512	3	{n=7}
-116615	捏腔拿调	65536	116612	3	{l=0}
-116616	善本	65536	21892	3	{n=2}
-116617	捐助点	65536	117492	3	{n=1}
-116618	捐弃前	93375	120654	1	null
-116619	捐弃前嫌	65536	116618	3	{l=0}
-116620	捐款箱	65536	123785	3	{n=1}
-116621	捕捞业	65536	119450	3	{n=0}
-116622	太公	65536	22826	3	{n=0}
-116623	多云间	65811	140812	1	null
-116624	捕获量	65536	127731	3	{n=2}
-116625	宁死	83766	23425	1	null
-116626	嬉闹	65536	23305	3	{v=0, vn=0}
-116627	捕蝇器	65536	128643	3	{n=0}
-116628	常青藤	65536	157931	3	{n=0}
-116629	感恩戴	89259	143760	1	null
-116630	主考	65536	20027	2	{n=0, v=0}
-116631	奶子	65536	22902	3	{n=0}
-116632	挺举	65536	25402	3	{n=1, v=0, vn=0}
-116633	夫荣	78008	22827	1	null
-116634	捕风捉	92202	133130	1	null
-116635	捕风捉影	65536	116634	3	{i=0}
-116636	捕鼠器	65536	134748	3	{n=0}
-116637	捞一把	65536	116640	3	{l=1}
-116638	党禁	65536	20826	3	{n=0}
-116639	中立	65911	20013	2	{v=2, vn=4}
-116640	捞一	91411	25438	1	null
-116641	捞油水	65536	124505	3	{l=1}
-116642	小家电	65536	161214	3	{n=8}
-116643	以苦	66241	20197	1	null
-116644	捞稻草	65536	127963	3	{v=0}
-116645	哀声	73096	21696	1	null
-116646	捞资本	65536	132836	3	{l=0}
-116647	哈尔	66234	21704	1	null
-116648	利民	65536	21033	3	{nr=0, nz=2, v=2, vn=0}
-116649	开诚相	74996	175009	1	null
-116650	损人利	92605	116791	1	null
-116651	因材	70136	22240	1	null
-116652	捏一	91382	25423	1	null
-116653	投资司	65536	162250	3	{n=1}
-116654	损人利己	65536	116650	3	{i=0}
-116655	安全期	65536	147108	3	{t=0}
-116656	微型机	65536	141389	3	{n=0}
-116657	损公肥	85492	117481	1	null
-116658	厚礼	65536	21402	3	{n=5}
-116659	弄弄	88027	24324	1	null
-116660	寿宴	65536	23551	3	{n=2}
-116661	损公肥私	83889	116657	2	{i=1}
-116662	损公肥私者	65536	116661	3	{n=1}
-116663	别称	65536	21035	3	{n=0}
-116664	尺牍	65536	23610	3	{n=0}
-116665	损兵折	93108	117490	1	null
-116666	损兵折将	65536	116665	3	{i=0}
-116667	戊亥	65536	25098	3	{m=0}
-116668	损失率	65536	119470	3	{n=1}
-116669	审计署	65536	132110	3	{n=5, nt=0}
-116670	戈家	86215	25096	1	null
-116671	损耗率	65536	129428	3	{n=0}
-116672	捡便宜	65536	116674	3	{l=1}
-116673	动工	65536	21160	3	{v=5, vn=0}
-116674	捡便	93220	25441	1	null
-116675	捡破烂	65536	127031	3	{v=2}
-116676	换句话	80849	147046	1	null
-116677	换句话说	65536	116676	3	{c=1}
-116678	换届会	65536	149195	3	{n=2}
-116679	呼救	71515	21628	2	{v=1}
-116680	换气扇	65536	153237	3	{n=0}
-116681	换汤不	91241	153317	1	null
-116682	完工	65536	23436	3	{v=8, vn=1}
-116683	换汤不换	83042	116681	1	null
-116684	彭水	65536	24429	3	{ns=0}
-116685	择优	91767	25321	2	{d=5, v=0, vd=0, vn=0}
-116686	光敏	65585	20809	1	null
-116687	哈尼	74478	21704	1	null
-116688	慕尼	73231	24917	1	null
-116689	换汤不换药	65536	116683	3	{i=2, n=0}
-116690	印张	65536	21360	3	{n=0}
-116691	换流站	65536	153538	3	{n=2}
-116692	人母	65536	20154	3	{n=1}
-116693	换算表	65536	157208	3	{n=0}
-116694	换脑筋	65536	158610	3	{v=1}
-116695	换行符	65536	160461	3	{n=0}
-116696	换言之	65536	160897	3	{c=0}
-116697	弱小	65536	24369	3	{a=2}
-116698	捧腹大	85196	127563	1	null
-116699	幼小	65536	24188	3	{a=1}
-116700	挖土	90052	25366	2	{n=1, v=0}
-116701	捧腹大笑	65536	116698	3	{i=0, l=1}
-116702	据为己	90329	117096	1	null
-116703	容易	65536	23481	3	{a=48, ad=25, v=0}
-116704	切磋	65536	20999	2	{v=2, vn=0}
-116705	卡拉	68228	21345	2	{nz=0}
-116706	据为己有	65536	116702	3	{i=2}
-116707	捣乱	65536	25443	3	{v=2}
-116708	制止	65536	21046	3	{v=42, vn=6}
-116709	怔忡	65536	24596	3	{n=0}
-116710	据理力	96606	126772	1	null
-116711	据理力争	65536	116710	3	{i=0}
-116712	停航	65536	20572	3	{v=1}
-116713	想当年	65536	127610	3	{l=2}
-116714	差不离	65536	118020	3	{l=1}
-116715	捶胸顿	80443	124561	1	null
-116716	捶打	65536	25462	3	{v=0}
-116717	全总	65536	20840	3	{j=2}
-116718	捶胸顿足	65536	116715	3	{i=0}
-116719	幻景	65536	24187	3	{n=0}
-116720	刺痒	65536	21050	3	{a=0}
-116721	参战	69111	21442	2	{v=2, vn=1}
-116722	抗震救	86588	165472	1	null
-116723	先生	65536	20808	3	{n=156}
-116724	扇子	65536	25159	3	{n=0}
-116725	抽象劳	94536	159359	1	null
-116726	拌嘴	65536	25292	3	{v=0}
-116727	因果	71730	22240	2	{n=0}
-116728	二难	65536	20108	3	{b=2}
-116729	捷克共	95086	116775	1	null
-116730	捷克共和	94463	116729	1	null
-116731	婚前	65536	23130	3	{t=0}
-116732	捷克共和国	65536	116730	3	{ns=2}
-116733	捷克斯洛	96494	121911	1	null
-116734	捷克斯洛伐	95925	116733	1	null
-116735	农户	65536	20892	3	{n=78}
-116736	捷克斯洛伐克	65536	116734	3	{ns=0}
-116737	捷报频	96483	121217	1	null
-116738	剧评	65536	21095	3	{n=0}
-116739	捷报频传	65536	116737	3	{i=1}
-116740	十字	68594	21313	2	{b=1, n=0}
-116741	学有所长	65536	108737	3	{l=1}
-116742	捷足先	86412	132239	1	null
-116743	捷足先登	65536	116742	3	{i=1}
-116744	千回	65567	21315	1	null
-116745	忆旧	65536	24518	3	{v=0}
-116746	捻线机	65536	128311	3	{n=0}
-116747	实践论	65536	156884	3	{n=3}
-116748	捧场	65536	25447	3	{v=0, vn=0}
-116749	掀动	65536	25472	3	{v=1}
-116750	掀风鼓	88741	134707	1	null
-116751	掀风鼓浪	65536	116750	3	{l=0}
-116752	光斑	65536	20809	3	{n=0}
-116753	掂斤	90986	25474	1	null
-116754	公允	65536	20844	3	{a=2, an=0}
-116755	捻军	65536	25467	3	{n=0}
-116756	公元	66530	20844	2	{n=8}
-116757	入时	65536	20837	3	{a=2}
-116758	人氏	65536	20154	3	{n=1}
-116759	掂斤播	96757	116753	1	null
-116760	人民	67098	20154	2	{n=1579, v=0}
-116761	掂斤播两	65536	116759	3	{i=0}
-116762	姑母	65536	22993	3	{n=0}
-116763	人气	65536	20154	3	{n=0}
-116764	授人以	90202	131784	1	null
-116765	中等	65538	20013	2	{b=16}
-116766	授人以柄	65536	116764	3	{i=0}
-116767	授受不	96624	133093	1	null
-116768	塑钢	66354	22609	1	null
-116769	全息	65536	20840	2	{n=3}
-116770	授受不亲	65536	116767	3	{i=0}
-116771	厂甸	65536	21378	3	{ns=0}
-116772	授权证	65536	138065	3	{n=0}
-116773	掉以轻	92259	118918	1	null
-116774	掉以轻心	65536	116773	3	{i=3}
-116775	捷克	95880	25463	2	{ns=18}
-116776	掉价儿	65536	118936	3	{l=0}
-116777	庆岭	65536	24198	3	{ns=0}
-116778	中策	65536	20013	3	{nz=1}
-116779	掉话率	65536	134526	3	{n=1}
-116780	掌上明	87120	124492	1	null
-116781	悟性	65536	24735	3	{n=2}
-116782	叶猴	65536	21494	3	{n=1}
-116783	惟妙	88646	24799	1	null
-116784	掌上明珠	65536	116780	3	{i=1}
-116785	书背	65536	20070	3	{n=0}
-116786	大黄鱼	65536	169054	3	{n=1}
-116787	掌声雷	95629	127282	1	null
-116788	扩充	65536	25193	3	{v=6, vn=0}
-116789	掌声雷动	65536	116787	3	{l=1}
-116790	便车	65536	20415	3	{n=0}
-116791	损人	95617	25439	1	null
-116792	掌握者	65536	130083	3	{n=1}
-116793	威廉	76978	23041	1	null
-116794	掌舵人	65536	137847	3	{n=2}
-116795	掌门人	65536	142890	3	{n=0}
-116796	掏心战	65536	116800	3	{n=0}
-116797	公公	65536	20844	3	{n=2}
-116798	床榻	65536	24202	3	{n=0}
-116799	想不开	65536	123188	3	{l=1}
-116800	掏心	91684	25487	1	null
-116801	掏腰包	65536	125421	3	{v=3}
-116802	公共	65605	20844	2	{a=1, b=55}
-116803	慎始	87898	24910	1	null
-116804	公关	65536	20844	3	{n=5}
-116805	掐头	95372	25488	1	null
-116806	安全架	65536	147108	3	{n=0}
-116807	掐头去	93197	116805	1	null
-116808	农技	66638	20892	2	{j=7}
-116809	奸滑	65536	22904	3	{a=0}
-116810	抛光	94367	25243	2	{vn=1}
-116811	掐头去尾	65536	116807	3	{i=0}
-116812	忌日	65536	24524	3	{t=1}
-116813	指数函	90397	156309	1	null
-116814	动干	65539	21160	1	null
-116815	动平	65574	21160	1	null
-116816	总的看	65536	163535	3	{l=3}
-116817	十室	69398	21313	1	null
-116818	中签	65547	20013	1	null
-116819	想得开	65536	127678	3	{l=0}
-116820	制毒	65536	21046	3	{v=2, vn=0}
-116821	排中律	65536	152289	3	{n=0}
-116822	冲破	65536	20914	3	{v=11}
-116823	承包商	65536	139036	3	{n=3}
-116824	唐菖	65536	21776	1	null
-116825	排他性	65536	152458	3	{n=0}
-116826	司空	65615	21496	2	{nr=0}
-116827	宏文	65536	23439	3	{n=1}
-116828	排卵期	65536	153641	3	{t=0}
-116829	尿糖	65536	23615	3	{n=1}
-116830	排名分	65536	153793	3	{n=0}
-116831	排头兵	65536	155112	3	{n=2}
-116832	排子车	65536	155652	3	{n=0}
-116833	排山倒	88812	155941	1	null
-116834	低空	65536	20302	3	{s=1}
-116835	排山倒海	65536	116833	3	{i=0}
-116836	初四	65536	21021	3	{t=5}
-116837	厚积	65541	21402	1	null
-116838	振作	65536	25391	3	{v=2}
-116839	关禁	65570	20851	1	null
-116840	排忧解	78251	156827	1	null
-116841	排忧解难	65536	116840	3	{i=9, l=0}
-116842	排放量	65536	158194	3	{n=2}
-116843	太阳日	65536	134229	3	{n=0}
-116844	安全柜	65536	147108	3	{n=0}
-116845	总统府	65536	165674	3	{n=19, nt=0}
-116846	排气阀	65536	159944	3	{n=0}
-116847	书脊	65536	20070	3	{n=1}
-116848	捕头	65536	25429	3	{n=0}
-116849	寿山	65536	23551	3	{ns=0}
-116850	排污口	65536	160021	3	{n=0}
-116851	五线	65538	20116	1	null
-116852	废弃物	65536	134086	3	{n=3}
-116853	排沙简	79532	160077	1	null
-116854	尘烟	65536	23576	3	{n=1}
-116855	冬笋	65536	20908	3	{n=0}
-116856	坚戈	65536	22362	3	{q=2}
-116857	娇弱	65536	23047	3	{a=0}
-116858	拣到	65536	25315	3	{v=0}
-116859	慨当	93741	24936	1	null
-116860	太阳时	65536	134229	3	{n=0}
-116861	排沙简金	65536	116853	3	{i=0}
-116862	卧龙	65536	21351	3	{ns=0}
-116863	招待券	65536	147325	3	{n=0}
-116864	子午莲	65536	131996	3	{n=0}
-116865	排泄物	65536	160120	3	{n=0}
-116866	招标制	65536	149503	3	{n=2}
-116867	五经	65536	20116	3	{n=0}
-116868	公决	65536	20844	3	{v=0}
-116869	排水沟	65536	159976	3	{n=0}
-116870	排灌站	65536	161024	3	{n=0}
-116871	排碱渠	65536	163173	3	{n=6}
-116872	排行榜	65536	167168	3	{n=3}
-116873	压惊	65536	21387	3	{v=0}
-116874	扩军	92149	25193	2	{vn=0}
-116875	排球场	65536	161975	3	{n=2}
-116876	二青	65537	20108	1	null
-116877	光明	65555	20809	2	{a=8, n=21, nr=0, nz=1}
-116878	排除万	78294	170776	1	null
-116879	孑遗	65536	23377	3	{n=1}
-116880	患得	88436	24739	1	null
-116881	己子	65536	24049	3	{m=0}
-116882	华光	65536	21326	3	{nz=0}
-116883	五统	66161	20116	1	null
-116884	排除万难	65536	116878	3	{l=1}
-116885	彭泽	89681	24429	1	null
-116886	扳回	65536	25203	3	{v=3}
-116887	扫描器	65536	124836	3	{n=0}
-116888	排难解	92344	170866	1	null
-116889	传经	65536	20256	1	null
-116890	排风扇	65536	171394	3	{n=0}
-116891	中篇	65543	20013	2	{b=1, n=1}
-116892	二面	65540	20108	1	null
-116893	掘土	90473	25496	1	null
-116894	信用	65963	20449	2	{a=1, n=11}
-116895	排难解忧	65536	116888	3	{i=0}
-116896	刀笔	65536	20992	3	{n=0}
-116897	损伤	65536	25439	3	{v=4, vn=4}
-116898	包工	66015	21253	2	{n=0, vn=0}
-116899	掘土机	65536	116893	3	{n=0}
-116900	主脑	65536	20027	3	{n=5}
-116901	掠人之	84248	116986	1	null
-116902	掠人之美	65536	116901	3	{i=0}
-116903	尿素	65536	23615	3	{n=2}
-116904	掠夺式	65536	119674	3	{b=0, d=0}
-116905	传统	65560	20256	2	{a=0, n=420, vn=0}
-116906	探亲访友	65536	132133	3	{l=2}
-116907	响鼻	65536	21709	3	{n=0}
-116908	塞恩	71775	22622	1	null
-116909	探亲假	65536	144866	3	{n=0}
-116910	光是	65536	20809	3	{d=2}
-116911	幻术	65536	24187	3	{n=0}
-116912	探口风	65536	146195	3	{l=0}
-116913	探囊取	87627	146938	1	null
-116914	情报所	65536	148258	3	{n=3}
-116915	报警台	65536	171907	3	{n=1}
-116916	探囊取物	65536	116913	3	{i=1}
-116917	参拜	65536	21442	3	{v=0}
-116918	恰州	65536	24688	3	{j=0}
-116919	偷袭	65536	20599	3	{v=1, vn=0}
-116920	奶山	68975	22902	1	null
-116921	屯田	65536	23663	3	{n=0, v=0}
-116922	忘年情	65536	116950	3	{n=1}
-116923	探头探	83884	147556	1	null
-116924	张家沟	65536	133273	3	{ns=0}
-116925	探头探脑	65536	116923	3	{i=0}
-116926	探戈舞	65536	149816	3	{n=0}
-116927	恰巧	65536	24688	3	{d=1}
-116928	探测仪	65536	152699	3	{n=2}
-116929	探照灯	65536	153751	3	{n=1}
-116930	人治	65536	20154	3	{n=1}
-116931	意气自	89197	138002	1	null
-116932	探究反	93377	156070	1	null
-116933	探究反射	65536	116932	3	{l=0}
-116934	探空仪	65536	156074	3	{n=0}
-116935	探空火箭	65536	125511	3	{n=0}
-116936	居留证	65536	122120	3	{n=0}
-116937	宁河	82452	23425	1	null
-116938	兴涛	65536	20852	3	{nz=0}
-116939	审判者	65536	117393	3	{n=1}
-116940	探赜索	78400	160908	1	null
-116941	探索性	65536	156754	3	{n=1}
-116942	公函	65536	20844	3	{n=0}
-116943	弗洛	89320	24343	1	null
-116944	探赜索隐	65536	116940	3	{i=1}
-116945	探路者	65536	161055	3	{n=2}
-116946	延年	79636	24310	1	null
-116947	戴高帽子	65536	118434	3	{l=1}
-116948	怡然自得	65536	112518	3	{i=0}
-116949	探险家	65536	163225	3	{n=4}
-116950	忘年	92149	24536	1	null
-116951	公分	65539	20844	2	{q=0}
-116952	公切	65632	20844	1	null
-116953	体系	65536	20307	3	{n=257}
-116954	探雷器	65536	163367	3	{n=0}
-116955	戳子	65536	25139	3	{n=0}
-116956	掣肘	65536	25507	3	{v=2, vn=1}
-116957	吉它	65536	21513	3	{n=0}
-116958	扁柏	65536	25153	3	{n=0}
-116959	接下来	65536	153763	3	{c=0, l=2}
-116960	接二连	96985	153892	1	null
-116961	年轻气	79011	165462	1	null
-116962	接二连三	65536	116960	3	{i=0}
-116963	吉安	71748	21513	2	{ns=1}
-116964	延庆	88610	24310	2	{ns=2}
-116965	接入网	65536	154621	3	{n=0}
-116966	唱白	65556	21809	1	null
-116967	在下	65536	22312	3	{r=0}
-116968	接力棒	65536	154931	3	{n=0}
-116969	接力赛跑	65536	126321	3	{l=0}
-116970	忙忙	81321	24537	1	null
-116971	不虚	65545	19981	1	null
-116972	咸镜	73239	21688	1	null
-116973	恰帕	87013	24688	1	null
-116974	光景	65536	20809	3	{n=1}
-116975	接受方	65536	155247	3	{n=5}
-116976	接合部	65536	155296	3	{n=0}
-116977	接地线	65536	156104	3	{n=0}
-116978	在世	65536	22312	3	{v=0, vn=0}
-116979	广州站	65536	147918	3	{ns=0}
-116980	关税	66546	20851	2	{n=24}
-116981	公判	65536	20844	3	{vn=0}
-116982	在业	65536	22312	3	{v=0}
-116983	愁容	85215	24833	2	{n=0}
-116984	宁波	79827	23425	2	{ns=13}
-116985	接处警	65536	156572	3	{v=1}
-116986	掠人	96858	25504	1	null
-116987	接待员	65536	158237	3	{n=0}
-116988	国家级	65536	138133	3	{b=37}
-116989	党章	65536	20826	3	{n=5}
-116990	哀婉	65536	21696	3	{z=0}
-116991	保甲	65536	20445	3	{n=0}
-116992	接物镜	65536	163073	3	{n=0}
-116993	手术室	65536	164401	3	{n=0}
-116994	广播段	65536	149661	3	{n=0}
-116995	披发	91544	25259	1	null
-116996	咖啡豆	65536	94507	3	{n=4}
-116997	接班人	65536	163461	3	{n=6}
-116998	己寅	65536	24049	3	{m=0}
-116999	公制	65536	20844	3	{n=0}
-117000	接生员	65536	163767	3	{n=0}
-117001	和光	72864	21644	1	null
-117002	接触眼镜	65536	117017	3	{l=0}
-117003	律政	89770	24459	1	null
-117004	接踵而	90543	170189	1	null
-117005	开发权	65536	160664	3	{n=1}
-117006	怦然	88127	24614	1	null
-117007	接连不	90986	170614	1	null
-117008	拥入	65536	25317	3	{v=0}
-117009	批发商	65536	127757	3	{n=1}
-117010	必然王	89768	126023	1	null
-117011	幼儿班	65536	113931	3	{n=0}
-117012	接踵而来	65536	117004	3	{i=2}
-117013	动弹	65536	21160	3	{v=0}
-117014	接收器	65536	159694	3	{n=0}
-117015	接连不断	65536	117007	3	{l=2}
-117016	弦月	65536	24358	3	{n=0}
-117017	接触眼	78766	169086	1	null
-117018	接通率	65536	170674	3	{n=0}
-117019	接风洗	93444	172902	1	null
-117020	接风洗尘	65536	117019	3	{i=2}
-117021	接驳端	93650	173323	1	null
-117022	必不	90509	24517	1	null
-117023	创立	65658	21019	2	{v=14, vn=0}
-117024	余角	65536	20313	3	{n=0}
-117025	指示剂	65536	161375	3	{n=0}
-117026	接驳端子	65536	117021	3	{n=1}
-117027	便道	65536	20415	3	{n=2}
-117028	国家经	65650	138133	1	null
-117029	庚未	65536	24218	3	{m=0}
-117030	保留	65679	20445	2	{v=28, vn=7}
-117031	控制数字	65536	128596	3	{l=0}
-117032	控制程序	65536	133871	3	{l=0}
-117033	控球技	90622	125810	1	null
-117034	在乎	65536	22312	3	{v=1}
-117035	择偶	65536	25321	3	{v=0}
-117036	控告人	65536	117689	3	{n=0}
-117037	控球技术	65536	117033	3	{n=0}
-117038	控诉书	65536	131896	3	{n=2}
-117039	包干	67807	21253	2	{v=5, vn=0}
-117040	推三阻	94807	153711	1	null
-117041	低等	65590	20302	2	{b=0}
-117042	推三阻四	65536	117040	3	{i=0}
-117043	推动力	65536	154894	3	{n=5}
-117044	感光度	65536	139888	3	{n=0}
-117045	推土机	65536	156037	3	{n=4}
-117046	接线员	65536	166231	3	{n=0}
-117047	推委会	65536	156730	3	{j=0}
-117048	推己及	96895	157783	1	null
-117049	推己及人	65536	117048	3	{i=0}
-117050	推广站	65536	157925	3	{n=1}
-117051	宁津	82455	23425	2	{ns=0}
-117052	推心置	83911	158249	1	null
-117053	利润	65563	21033	2	{n=81, vn=0}
-117054	五羊	65536	20116	3	{nz=4}
-117055	官庄镇	65536	142309	3	{ns=1}
-117056	推心置腹	65536	117052	3	{i=0}
-117057	唱盘	65536	21809	3	{n=0}
-117058	推斥力	65536	159755	3	{n=0}
-117059	扣压	65536	25187	3	{v=1, vn=0}
-117060	包庇	65536	21253	3	{v=2, vn=0}
-117061	含硫	73068	21547	1	null
-117062	拥军	95889	25317	2	{nr=0, v=3, vn=22}
-117063	入木	67544	20837	1	null
-117064	人流	65555	20154	2	{j=0, n=8}
-117065	推本溯	88762	160146	1	null
-117066	推本溯源	65536	117065	3	{i=0}
-117067	报国无	77150	158490	1	null
-117068	引水渠	65536	150915	3	{n=1}
-117069	挡光	65536	25377	3	{v=0}
-117070	元老	65536	20803	3	{n=1}
-117071	推波助	88500	161608	1	null
-117072	推波助澜	65536	117071	3	{i=3}
-117073	推注法	65536	161614	3	{n=1}
-117074	扁桃	94123	25153	2	{n=0}
-117075	右面	65536	21491	3	{f=0}
-117076	吸纳	65536	21560	3	{v=23, vn=0}
-117077	度汛	65536	24230	3	{v=0}
-117078	挖墙	83430	25366	1	null
-117079	号称	65536	21495	3	{v=6}
-117080	推涛作	89071	161793	1	null
-117081	推涛作浪	65536	117080	3	{l=0}
-117082	刺眼	65536	21050	3	{a=1}
-117083	拉拉杂	89400	162453	1	null
-117084	推理片	65536	163436	3	{n=0}
-117085	太医	65536	22826	3	{n=0}
-117086	推而广	97044	166514	1	null
-117087	推而广之	65536	117086	3	{i=0, l=1}
-117088	推荐信	65536	167350	3	{n=0}
-117089	推诚相	81827	169536	1	null
-117090	徒手	85500	24466	2	{b=0, d=0}
-117091	导数	65536	23548	3	{n=0}
-117092	推诚相见	65536	117089	3	{i=0}
-117093	推车人	65536	170444	3	{n=2}
-117094	推重比	65536	171059	3	{n=0}
-117095	克莱	65561	20811	1	null
-117096	据为	92653	25454	1	null
-117097	所到	94358	25152	1	null
-117098	在于	65536	22312	3	{p=0, v=110}
-117099	推进剂	65536	170561	3	{n=0}
-117100	推陈出	91069	172206	1	null
-117101	推陈出新	65536	117100	3	{i=3}
-117102	吉尔	71675	21513	1	null
-117103	公办	65536	20844	3	{b=0, vn=1}
-117104	必也	84508	24517	1	null
-117105	坚持	77347	22362	2	{v=509, vd=0, vn=3}
-117106	公务	66008	20844	2	{n=20}
-117107	掩人耳	86665	118411	1	null
-117108	慈心	65536	24904	3	{n=0}
-117109	人浮	66084	20154	1	null
-117110	修长	65536	20462	3	{a=0}
-117111	掩人耳目	65536	117107	3	{i=1}
-117112	哈工	71810	21704	1	null
-117113	掩目捕	78525	128703	1	null
-117114	房地契	65536	143109	3	{n=0}
-117115	慢慢悠	89163	123729	1	null
-117116	塔城	65536	22612	3	{ns=1}
-117117	掩目捕雀	65536	117113	3	{i=0}
-117118	人海	65536	20154	3	{n=2}
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-117120	推销员	65536	171878	3	{n=3}
-117121	呼朋	72488	21628	1	null
-117122	掩耳盗	79041	131076	1	null
-117123	初基	65536	21021	3	{n=1}
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-117125	愣小	90433	24867	1	null
-117126	婚变	65536	23130	3	{n=1}
-117127	哈巴	65543	21704	1	null
-117128	掩蔽体	65536	132366	3	{n=0}
-117129	扣发	65536	25187	3	{v=0}
-117130	卵黄	65536	21365	3	{n=0}
-117131	志在	90809	24535	1	null
-117132	掩鼻而	80327	139020	1	null
-117133	宁海	82460	23425	1	null
-117134	掩鼻而过	65536	117132	3	{i=0}
-117135	措手不	95690	119485	1	null
-117136	定购粮	65536	158736	3	{n=3}
-117137	劳燕	67813	21171	1	null
-117138	心血管	65536	174640	3	{n=2}
-117139	国际级	65536	153124	3	{b=1}
-117140	措手不及	65536	117135	3	{i=0}
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-117142	吉尼	67239	21513	1	null
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-117145	措大	65536	25514	3	{n=0}
-117146	必争	91973	24517	1	null
-117147	告急	65536	21578	3	{v=1, vn=0}
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-117149	措置得宜	65536	118788	3	{l=0}
-117150	措置失	92745	126944	1	null
-117151	动心	65781	21160	2	{v=1}
-117152	婚史	65536	23130	3	{n=0}
-117153	国际纵	65786	153124	1	null
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-117155	尽义	86283	23613	1	null
-117156	掮客	65536	25518	3	{n=0}
-117157	控制	102628	25511	2	{v=113, vn=86}
-117158	怜爱	65536	24604	3	{v=0}
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-117177	光机	65588	20809	1	null
-117178	拙劣	65536	25305	3	{a=1}
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-117183	描眉画	86667	126824	1	null
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-117193	提个醒	65536	155203	3	{l=0, v=2}
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-117228	按劳分	79212	123137	1	null
-117229	提留款	65536	165234	3	{n=1}
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-117246	光板	65536	20809	3	{n=0}
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-117250	塔塔	74193	22612	1	null
-117251	插班生	65536	144013	3	{n=0}
-117252	插科打	81437	145521	1	null
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-117257	帐篷	65536	24080	3	{n=48}
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-117259	插秧机	65536	145543	3	{n=0}
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-117261	插翅难	80397	147045	1	null
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-117263	插队落户	65536	117262	3	{l=0}
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-117266	揠苗	96106	25568	1	null
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-117268	尽人	77099	23613	1	null
-117269	家属院	65536	146800	3	{n=1}
-117270	叶甜	65541	21494	1	null
-117271	庄稼汉	65536	121162	3	{n=0}
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-117273	惟它	84032	24799	1	null
-117274	往昔	65536	24448	3	{t=4}
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-117276	座子	65536	24231	3	{n=0}
-117277	握手言	95634	122174	1	null
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-117279	揩油	65536	25577	3	{v=0, vn=0}
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-117281	冷战	65536	20919	3	{n=27}
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-117283	揪人	92765	25578	1	null
-117284	信皮	65536	20449	3	{n=0}
-117285	揪辫子	65536	133908	3	{v=0}
-117286	幻梦	65536	24187	3	{n=0}
-117287	揭不开	79141	126295	1	null
-117288	揣度	65536	25571	3	{v=0}
-117289	在位	65536	22312	3	{v=0}
-117290	揭不开锅	65536	117287	3	{l=0}
-117291	恰当	65536	24688	3	{a=6, ad=1}
-117292	揭幕式	65536	130463	3	{n=0}
-117293	冲程	65536	20914	3	{n=0}
-117294	揭竿而	81084	137801	1	null
-117295	区级	65536	21306	3	{b=3}
-117296	太后	65536	22826	3	{n=0}
-117297	序时	73605	24207	1	null
-117298	成功者	65536	156913	3	{n=2}
-117299	揭竿而起	65536	117294	3	{i=0}
-117300	揭老底	65536	139083	3	{l=0}
-117301	援助团	65536	119895	3	{n=0}
-117302	揶揄	65536	25590	3	{v=0}
-117303	娇惯	65536	23047	3	{v=0}
-117304	列队	65536	21015	3	{v=4, vd=0}
-117305	揽客	65536	25597	3	{v=0}
-117306	搁浅	65536	25601	3	{v=3, vn=0}
-117307	搀假	65536	25600	3	{v=0}
-117308	搂草打兔	93940	117311	1	null
-117309	太君	65536	22826	3	{n=0}
-117310	搂抱	65536	25602	3	{v=0}
-117311	搂草打	96488	125654	1	null
-117312	幼年	65536	24188	3	{t=3}
-117313	承包地	65536	139036	3	{n=2}
-117314	握住	65536	25569	3	{v=5}
-117315	抠抠	89811	25248	1	null
-117316	搂草打兔子	65536	117308	3	{l=1, n=0}
-117317	去职	65536	21435	3	{v=0}
-117318	投影图	65536	150519	3	{n=0}
-117319	搅乳器	65536	117417	3	{n=0}
-117320	搅拌器	65536	122626	3	{n=1}
-117321	彼时	65536	24444	3	{t=0}
-117322	搋子	65536	25611	3	{n=0}
-117323	搌布	65536	25612	3	{n=0}
-117324	张家港	86525	133273	2	{ns=3}
-117325	先睹	67393	20808	1	null
-117326	据传	65536	25454	3	{v=0}
-117327	搓手顿	81054	117356	1	null
-117328	压抑	65536	21387	3	{a=0, an=0, v=2, vn=1}
-117329	搓手顿足	65536	117327	3	{i=0}
-117330	卷烟	66034	21367	2	{n=22}
-117331	控告信	65536	117689	3	{n=0}
-117332	保皇	65951	20445	1	null
-117333	千夫	65698	21315	2	{n=0}
-117334	搓绳机	65536	124692	3	{n=0}
-117335	公历	65536	20844	3	{n=5}
-117336	宏构	65536	23439	3	{n=1}
-117337	天文钟	65536	154263	3	{n=0}
-117338	搔头弄	94301	117339	1	null
-117339	搔头	93014	25620	1	null
-117340	搔头弄姿	65536	117338	3	{i=0}
-117341	搔首弄	94313	133821	1	null
-117342	千头	69534	21315	1	null
-117343	扩印	65536	25193	3	{v=0}
-117344	华北	65536	21326	3	{ns=54}
-117345	搏击	65536	25615	3	{v=5, vn=0}
-117346	忘怀	65536	24536	3	{v=1}
-117347	慈悲	65536	24904	3	{a=0}
-117348	子母钟	65536	138273	3	{n=0}
-117349	始终	82755	22987	2	{d=120, n=6}
-117350	公厕	65536	20844	3	{n=2}
-117351	影印本	65536	122623	3	{n=1}
-117352	搔首弄姿	65536	117341	3	{i=0}
-117353	公厘	65536	20844	3	{q=0}
-117354	党籍	65536	20826	3	{n=5}
-117355	密码箱	65536	140377	3	{n=1}
-117356	搓手	78288	25619	1	null
-117357	巡查	65536	24033	3	{v=0, vn=1}
-117358	推销商	65536	171878	3	{n=1}
-117359	搜查证	65536	123986	3	{n=0}
-117360	光柱	65536	20809	3	{n=2}
-117361	千奇	65568	21315	1	null
-117362	搜索引	91557	129423	1	null
-117363	搜索引擎	65536	117362	3	{n=0}
-117364	怒目横	81987	134669	1	null
-117365	搜索枯肠	65536	119564	3	{i=0}
-117366	搜肠刮	84446	130317	1	null
-117367	拘于	65536	25304	3	{v=1}
-117368	搜肠刮肚	65536	117366	3	{i=0}
-117369	大西门	65536	163609	3	{ns=1}
-117370	搞关系	65536	117566	3	{l=0}
-117371	搦管	92697	25638	1	null
-117372	搦管恣	84473	117371	1	null
-117373	愚妄	65536	24858	3	{a=0}
-117374	振兴	96529	25391	2	{nz=0, v=56, vn=29}
-117375	搦管恣肆	65536	117372	3	{i=0}
-117376	包心	65537	21253	1	null
-117377	搪塞	65536	25642	3	{v=1}
-117378	搬弄是	78629	120869	1	null
-117379	搬弄是非	65536	117378	3	{i=0}
-117380	光栅	65536	20809	3	{n=0}
-117381	延性	65536	24310	3	{n=0}
-117382	光标	65536	20809	3	{n=2}
-117383	搬迁户	65536	133346	3	{n=0}
-117384	搬运员	65536	133361	3	{n=0}
-117385	忘性	65536	24536	3	{n=0}
-117386	搭便车	65536	131516	3	{l=0}
-117387	搭架子	65536	137651	3	{l=0}
-117388	山西路	65536	164678	3	{ns=0}
-117389	庶母	65536	24246	3	{n=0}
-117390	搭桥牵	84944	137826	1	null
-117391	搭桥牵线	65536	117390	3	{l=0}
-117392	搭班子	65536	140778	3	{l=0}
-117393	审判	84166	23457	2	{v=15, vn=8}
-117394	携家带	95920	120516	1	null
-117395	携家带口	65536	117394	3	{l=0}
-117396	携手并	84460	122201	1	null
-117397	携手并肩	65536	117396	3	{i=2}
-117398	搬兵	65536	25644	3	{v=0}
-117399	冰排	65536	20912	3	{n=0}
-117400	初夏	65536	21021	3	{t=4}
-117401	携起手	90934	133253	1	null
-117402	挣扎	65536	25379	3	{v=8, vn=0}
-117403	携起手来	65536	117401	3	{l=4}
-117404	搽脂抹	85529	118550	1	null
-117405	搽粉	65536	25661	3	{v=0}
-117406	免除	65536	20813	3	{v=2}
-117407	招待员	65536	147325	3	{n=0}
-117408	华南	65549	21326	2	{ns=53}
-117409	动情	65536	21160	3	{a=1, v=14, vd=0}
-117410	搽脂抹粉	65536	117404	3	{i=0}
-117411	冲突	65553	20914	2	{v=18, vn=69}
-117412	体细	65537	20307	1	null
-117413	初夜	65838	21021	1	null
-117414	摄制组	65536	119654	3	{n=8}
-117415	搅乱	65536	25605	3	{v=0}
-117416	实验舱	65536	160107	3	{n=0}
-117417	搅乳	95199	25605	1	null
-117418	摄政王	65536	124527	3	{n=0}
-117419	兵种	65536	20853	3	{n=6}
-117420	摁扣	65536	25665	3	{n=0}
-117421	摄氏度	65536	126271	3	{q=52}
-117422	太和	65536	22826	3	{nz=0}
-117423	摄谱仪	65536	134497	3	{n=0}
-117424	摆地摊	65536	137375	3	{l=1}
-117425	携侣	65536	25658	3	{v=0}
-117426	投资国	65536	162250	3	{n=2}
-117427	摆威风	65536	138096	3	{l=0}
-117428	填补	65536	22635	3	{v=12, vn=0}
-117429	感光性	65536	139888	3	{n=0}
-117430	内丘	66285	20869	1	null
-117431	填表	65536	22635	3	{v=1}
-117432	摆摊儿	65536	140729	3	{v=0}
-117433	先知	66612	20808	2	{n=1, nr=0}
-117434	摄像头	65536	119295	3	{n=0}
-117435	摆擂台	65536	140849	3	{v=0}
-117436	幼稚病	65536	124390	3	{n=0}
-117437	体统	65536	20307	3	{n=0}
-117438	摆架子	65536	141605	3	{v=0}
-117439	恳挚	65536	24691	3	{a=0}
-117440	怒气攻	87926	131891	1	null
-117441	威慑	81871	23041	2	{v=1, vn=3}
-117442	尘埃盘	65536	110426	3	{n=0}
-117443	五脏	65598	20116	2	{n=1}
-117444	摆样子	65536	141734	3	{v=0}
-117445	入梦	65536	20837	3	{v=1}
-117446	摆臭架	94077	148316	1	null
-117447	卡斯	65548	21345	1	null
-117448	吊丝	65536	21514	3	{n=100}
-117449	公司	66557	20844	2	{n=1157}
-117450	拱券	65536	25329	3	{n=2}
-117451	忘恩	76038	24536	1	null
-117452	定向培育	65536	108021	3	{l=0}
-117453	摆臭架子	65536	117446	3	{l=0}
-117454	摆花架	94079	148512	1	null
-117455	摆花架子	65536	117454	3	{l=0}
-117456	摆阔气	65536	153475	3	{l=0}
-117457	庶民	65536	24246	3	{n=0}
-117458	吊丧	65536	21514	3	{v=0}
-117459	摆龙门	79007	155912	1	null
-117460	摆龙门阵	65536	117459	3	{l=0}
-117461	摇唇鼓	84170	126899	1	null
-117462	摇唇鼓舌	65536	117461	3	{i=0}
-117463	帮倒	84404	24110	1	null
-117464	摇头摆尾	65536	117468	3	{i=2}
-117465	塔夫	66255	22612	1	null
-117466	摇头晃脑	65536	117977	3	{i=0}
-117467	摇尾乞	92866	128746	1	null
-117468	摇头摆	93850	127968	1	null
-117469	不行	65536	19981	3	{a=30, v=0}
-117470	摇尾乞怜	65536	117467	3	{i=0}
-117471	懒汉	65536	25042	3	{n=2}
-117472	摇摆不	94023	130802	1	null
-117473	摇摆不定	65536	117472	3	{l=0}
-117474	怨恨	65536	24616	3	{v=0, vn=0}
-117475	摇摇摆摆	65536	117491	3	{v=0}
-117476	摇摇晃晃	65536	118000	3	{z=0}
-117477	击鼓	65537	20987	2	{v=0}
-117478	告慰	65536	21578	3	{v=1, vn=0}
-117479	墨守	72782	22696	1	null
-117480	人满	66171	20154	1	null
-117481	损公	83724	25439	1	null
-117482	厂矿	65536	21378	3	{j=9}
-117483	巴塞罗	71425	145597	1	null
-117484	保真	65560	20445	1	null
-117485	摇摇欲坠	65536	119263	3	{i=1}
-117486	引人注	85595	143369	1	null
-117487	佛龛	65536	20315	3	{n=0}
-117488	娇憨	65536	23047	3	{a=0}
-117489	摇旗呐	95595	131203	1	null
-117490	损兵	91425	25439	1	null
-117491	摇摇摆	91805	130803	1	null
-117492	捐助	87760	25424	2	{v=24, vn=7}
-117493	摇旗呐喊	65536	117489	3	{i=0}
-117494	国家股	65536	138133	3	{n=0}
-117495	摇曳多	94458	131487	1	null
-117496	息怒	65536	24687	3	{v=0}
-117497	摇曳多姿	65536	117495	3	{i=0, l=1}
-117498	摇滚乐	65536	133510	3	{n=0}
-117499	动感	65552	21160	2	{b=1, n=2}
-117500	墨宝	65536	22696	3	{n=0}
-117501	摇篮曲	65536	136858	3	{n=0}
-117502	摇身一	96040	141655	1	null
-117503	必修	76182	24517	2	{v=0, vn=1}
-117504	摇身一变	65536	117502	3	{i=1}
-117505	不衰	65536	19981	3	{v=7}
-117506	季风雨	65536	121861	3	{n=0}
-117507	拂拭	65536	25282	3	{v=0}
-117508	摇钱树	65536	143197	3	{n=4}
-117509	报告团	65536	157799	3	{n=4}
-117510	摇鹅毛	92352	145649	1	null
-117511	摇鹅毛扇	65536	117510	3	{i=0}
-117512	到访	65536	21040	3	{v=3, vn=0}
-117513	庄稼活	88906	121162	1	null
-117514	指纹学	65536	162782	3	{n=0}
-117515	摈弃	65536	25672	3	{v=0}
-117516	塞拉	76775	22622	1	null
-117517	摊晒机	65536	126139	3	{n=0}
-117518	搏动	65536	25615	3	{v=0, vn=0}
-117519	内乱	65536	20869	3	{n=1}
-117520	宣传	88603	23459	2	{n=2, v=94, vn=140}
-117521	摒弃前	94278	117523	1	null
-117522	摒弃前嫌	65536	117521	3	{l=0}
-117523	摒弃	96452	25682	2	{v=9}
-117524	小家碧	77281	161214	1	null
-117525	墨家	65536	22696	3	{n=0}
-117526	拗口	95838	25303	2	{a=0}
-117527	振振有辞	65536	116546	3	{i=0}
-117528	参政	70555	21442	2	{n=0, v=0, vn=1}
-117529	农救	67702	20892	1	null
-117530	华发	65536	21326	3	{nz=1}
-117531	公告	65553	20844	2	{n=8, v=0, vn=0}
-117532	摔跟头	65536	133731	3	{v=0}
-117533	听差	65536	21548	3	{n=0}
-117534	摘帽子	65536	122876	3	{l=0}
-117535	摧枯	92249	25703	1	null
-117536	悉数	65536	24713	3	{d=3}
-117537	十年	71217	21313	1	null
-117538	摧枯拉	91110	117535	1	null
-117539	摧枯拉朽	65536	117538	3	{i=0}
-117540	摩加迪	89740	126496	1	null
-117541	摩加迪沙	65536	117540	3	{ns=0}
-117542	摩天大厦	65536	117550	3	{n=0}
-117543	忘情	65536	24536	3	{v=1, vn=0}
-117544	摔交	65536	25684	3	{v=0}
-117545	千姿	65569	21315	1	null
-117546	执政官	65536	129066	3	{n=5}
-117547	报警器	65536	171907	3	{n=25}
-117548	太空车	65536	127132	3	{n=1}
-117549	序曲	65536	24207	3	{n=7}
-117550	摩天大	96128	128169	1	null
-117551	摩尔多	87628	128916	1	null
-117552	恼怒	65536	24700	3	{an=0, v=0}
-117553	千娇	65570	21315	1	null
-117554	摩尔多瓦	96708	117551	2	{ns=2}
-117555	打工妹	65536	169982	3	{n=2}
-117556	己巳	65536	24049	3	{b=0, m=0}
-117557	摩尔多瓦共	95917	117554	1	null
-117558	内亘	65536	20869	3	{nr=0}
-117559	吉川	65536	21513	3	{nr=0}
-117560	体罚	65536	20307	3	{v=1, vn=0}
-117561	摩尔多瓦共和	95293	117557	1	null
-117562	摩尔多瓦共和国	65536	117561	3	{ns=0}
-117563	摩托罗拉	65536	117573	3	{nz=4}
-117564	印把	67770	21360	1	null
-117565	摩拳擦	92091	130675	1	null
-117566	搞关	85375	25630	1	null
-117567	化学系	65536	111696	3	{n=0}
-117568	国际联	66032	153124	1	null
-117569	惠卖	65536	24800	3	{j=1}
-117570	床沿	65536	24202	3	{n=2}
-117571	倒置	65536	20498	3	{v=0}
-117572	弹性模	73386	136771	1	null
-117573	摩托罗	92274	130520	1	null
-117574	峨眉	84340	23784	2	{ns=0}
-117575	摩拳擦掌	65536	117565	3	{i=0}
-117576	恰恰	82591	24688	2	{d=5}
-117577	参数	65536	21442	3	{n=8}
-117578	所向	89148	25152	1	null
-117579	恩恩爱	83732	130954	1	null
-117580	光棍	65536	20809	3	{n=1}
-117581	摩擦系数	65536	128434	3	{n=0}
-117582	志士	91967	24535	2	{n=0}
-117583	助老	65536	21161	3	{v=1, vn=13}
-117584	内亲	65536	20869	3	{n=0}
-117585	总后方	65536	154713	3	{s=0}
-117586	摩擦力	65536	131174	3	{n=0}
-117587	摩洛哥	88011	133275	2	{ns=27}
-117588	初始	68059	21021	2	{b=2, t=0, v=0, vn=0}
-117589	息息	82554	24687	1	null
-117590	摩洛哥王	95322	117587	1	null
-117591	摩洛哥王国	65536	117590	3	{ns=1}
-117592	内人	65536	20869	3	{n=0}
-117593	摩电灯	65536	135349	3	{n=0}
-117594	摩纳哥	65536	137779	3	{ns=1}
-117595	摩肩接	81195	138281	1	null
-117596	寻呼网	65536	115576	3	{n=6}
-117597	吉布	67721	21513	1	null
-117598	或是	65536	25110	3	{c=16}
-117599	会考	65536	20250	3	{v=3, vn=2}
-117600	摩肩接踵	65536	117595	3	{i=0}
-117601	摩苏尔	65536	138831	3	{ns=0}
-117602	封建礼	80647	133191	1	null
-117603	助耕	65536	21161	3	{v=0}
-117604	封建社	86348	133191	1	null
-117605	摩萨德	65536	139176	3	{nz=0}
-117606	摩顶放	81202	144374	1	null
-117607	摩顶放踵	65536	117606	3	{i=0}
-117608	停薪	65537	20572	2	{v=0}
-117609	信石	65536	20449	3	{n=0}
-117610	摸得着	65536	120030	3	{v=1}
-117611	往来	65536	24448	3	{v=15, vn=28}
-117612	摸摸索	85579	121279	1	null
-117613	摸摸索索	65536	117612	3	{z=0}
-117614	摸爬滚	92445	124787	1	null
-117615	主菜	65536	20027	3	{n=1}
-117616	摸爬滚打	65536	117614	3	{l=1}
-117617	忽左	87749	24573	1	null
-117618	拾取	65536	25342	3	{v=0}
-117619	墨尔	71472	22696	1	null
-117620	摸黑儿	65536	136216	3	{v=1}
-117621	喷发	65536	21943	3	{v=6, vn=3}
-117622	手提式	65536	163538	3	{b=0}
-117623	拍卖品	65536	128541	3	{n=2}
-117624	摺子	65536	25722	3	{n=0}
-117625	撂挑子	65536	123021	3	{v=0}
-117626	平平稳	77930	156117	1	null
-117627	中级	65536	20013	3	{b=7}
-117628	恋恋	92888	24651	1	null
-117629	撑场面	65536	119663	3	{l=0}
-117630	中纪	65540	20013	1	null
-117631	干燥率	65536	160310	3	{n=0}
-117632	中纬	65538	20013	1	null
-117633	撇下	65536	25735	3	{v=0}
-117634	修鞋	65577	20462	1	null
-117635	尼泊	83853	23612	1	null
-117636	撑住	65536	25745	3	{v=0}
-117637	徇私	84745	24455	2	{v=0}
-117638	恼恨	65536	24700	3	{v=0}
-117639	撂下	65536	25730	3	{v=0}
-117640	告戒	65536	21578	3	{v=0}
-117641	加上	65536	21152	3	{v=57}
-117642	志大	86968	24535	1	null
-117643	心急火	82647	164373	1	null
-117644	市话网	65536	151205	3	{n=1}
-117645	岸炮	65536	23736	3	{n=0}
-117646	中纺	65536	20013	3	{j=0}
-117647	撑杆跳	78009	123771	2	{n=0}
-117648	急人所	87927	145435	1	null
-117649	撑杆跳高	65536	117647	3	{l=0}
-117650	撑竿跳	78017	128820	2	{n=0}
-117651	中线	65536	20013	3	{n=0, s=0}
-117652	径流	65536	24452	3	{n=2}
-117653	战略性	65536	167444	3	{n=30}
-117654	御林	90525	24481	1	null
-117655	指南针	65536	151676	3	{n=0}
-117656	中组	65544	20013	1	null
-117657	撑竿跳高	65536	117650	3	{n=0}
-117658	撑门面	65536	135709	3	{v=0}
-117659	撒切尔	65536	132517	3	{nr=3}
-117660	射箭	65536	23556	3	{v=2, vn=7}
-117661	平步青	89144	159431	1	null
-117662	五自	65536	20116	3	{j=1}
-117663	撒哈拉	65536	133222	3	{n=1, ns=2}
-117664	撒手不	86017	136681	1	null
-117665	懒洋	86088	25042	1	null
-117666	撒手不管	65536	117664	3	{l=0}
-117667	划转	65536	21010	3	{v=0}
-117668	卖淫	67958	21334	2	{v=0, vn=1}
-117669	扭亏增	84603	122075	1	null
-117670	委罪	65536	22996	3	{v=0}
-117671	撒手归西	65536	122085	3	{l=0}
-117672	忍心	65536	24525	3	{v=4}
-117673	拱北	65536	25329	3	{ns=0}
-117674	撒拉族	65536	136807	3	{nz=2}
-117675	撒播机	65536	137291	3	{n=0}
-117676	撒玛拉	65536	141113	3	{ns=0}
-117677	撒酒疯	65536	148720	3	{l=0}
-117678	撕破脸	65536	128473	3	{l=0}
-117679	孟加拉虎	65536	103445	3	{n=5}
-117680	撕下	65536	25749	3	{v=2}
-117681	播放器	65536	124409	3	{n=0}
-117682	振动	65536	25391	3	{v=0, vn=1}
-117683	中统	65536	20013	3	{j=0, n=0}
-117684	喷吐	65536	21943	3	{v=0}
-117685	惠及	65536	24800	3	{v=0}
-117686	会聚	65536	20250	2	{v=2}
-117687	兵站	65536	20853	3	{n=1}
-117688	主营	65982	20027	2	{n=0, v=0, vn=1}
-117689	控告	96882	25511	2	{v=3, vn=0}
-117690	减租	65536	20943	3	{v=2, vn=4}
-117691	中继	65577	20013	2	{vn=0}
-117692	按劳取	79182	123137	1	null
-117693	坦诚	66914	22374	2	{a=6, ad=1, an=0}
-117694	农时	65536	20892	3	{n=2}
-117695	因此	65536	22240	3	{c=291, d=0, r=0}
-117696	撮合	65536	25774	3	{v=1, vn=1}
-117697	庄河	85625	24196	2	{ns=6}
-117698	内伤	65536	20869	3	{n=1}
-117699	撞伤	65536	25758	3	{v=0}
-117700	尼洋	79603	23612	2	{ns=0}
-117701	撩乱	65536	25769	3	{a=0}
-117702	播音员	65536	137390	3	{n=11}
-117703	履穿	71291	23653	1	null
-117704	和合	70988	21644	1	null
-117705	搬动	65536	25644	3	{v=0, vn=0}
-117706	加之	65536	21152	3	{c=24}
-117707	坎肩	65536	22350	3	{n=1}
-117708	情真意挚	65536	113336	3	{l=1}
-117709	拓扑	92564	25299	2	{n=0}
-117710	巴伦西	88297	143237	1	null
-117711	播种期	65536	129672	3	{n=0, t=0}
-117712	惊心掉	80421	146012	1	null
-117713	唱票	74854	21809	2	{v=2}
-117714	剪裁	65536	21098	3	{v=1, vn=0}
-117715	撰稿人	65536	128177	3	{n=1}
-117716	中缀	65536	20013	3	{n=0}
-117717	摹仿	65536	25721	3	{v=0, vn=0}
-117718	撷取	65536	25783	3	{v=0}
-117719	升班	65557	21319	2	{v=0}
-117720	安居而	84893	149889	1	null
-117721	撬杠	65536	25772	3	{n=0}
-117722	岩画	65536	23721	3	{n=0}
-117723	假肢	65536	20551	3	{n=1}
-117724	接线图	65536	166231	3	{n=0}
-117725	撸子	65536	25784	3	{n=0}
-117726	撺弄	65536	25786	3	{v=0}
-117727	撼人	93215	25788	1	null
-117728	吉庆	65536	21513	3	{n=2}
-117729	关系	66156	20851	2	{n=981, v=67, vn=1}
-117730	撼人心	77984	117727	1	null
-117731	初婚	65536	21021	3	{n=0}
-117732	撼人心魄	65536	117730	3	{i=0}
-117733	撼天动	95415	120398	1	null
-117734	指导员	65536	153889	3	{n=11}
-117735	撼天动地	65536	117733	3	{l=0}
-117736	兼语	65536	20860	3	{n=0}
-117737	减税	65536	20943	3	{v=3, vn=4}
-117738	播种机	65536	129672	3	{n=1}
-117739	含笑	74007	21547	2	{v=0, vd=0}
-117740	取巧	65536	21462	3	{v=0}
-117741	巧事	65536	24039	3	{n=0}
-117742	擀杖	65536	25792	3	{n=3}
-117743	卫生站	65536	104874	3	{n=0}
-117744	擀面杖	65536	130042	3	{n=0}
-117745	中缝	65536	20013	3	{n=0}
-117746	擂台赛	65536	119216	3	{n=17}
-117747	地方话	65536	142360	3	{n=0}
-117748	擂鼓筛锣	65536	126639	3	{i=0}
-117749	完成	65536	23436	3	{v=331, vn=18}
-117750	恋情	65536	24651	3	{n=1}
-117751	引人深	85831	143369	1	null
-117752	擅自	65536	25797	3	{d=12}
-117753	兼课	65536	20860	3	{v=0, vn=0}
-117754	导标	65536	23548	3	{n=0}
-117755	擂主	65536	25794	3	{n=0}
-117756	拍卖商	65536	128541	3	{n=0}
-117757	擂鼓墩	65536	138451	3	{ns=0}
-117758	操之过	93146	123580	1	null
-117759	操之过急	65536	117758	3	{i=1}
-117760	操作系统	65536	128442	3	{l=2}
-117761	库仑	86303	24211	2	{n=0, q=0}
-117762	擎天	91154	25806	1	null
-117763	擎天柱	65536	117762	3	{n=0}
-117764	兵符	65536	20853	3	{n=0}
-117765	擒拿	65536	25810	3	{v=0}
-117766	扇形	65536	25159	3	{n=0}
-117767	惯性	92357	24815	2	{n=2}
-117768	擦屁股	65536	124148	3	{l=0}
-117769	威胁论	65536	125489	3	{n=2}
-117770	擦肩而	80967	133468	1	null
-117771	撰写	65536	25776	3	{v=26, vn=0}
-117772	当头棒	89002	153092	1	null
-117773	养虎	65558	20859	1	null
-117774	擦肩而过	65536	117770	3	{l=2}
-117775	妖精	65536	22934	3	{n=0}
-117776	先礼	65903	20808	1	null
-117777	操纵台	65536	135974	3	{n=0}
-117778	不要	65537	19981	2	{d=67, v=1}
-117779	妓院	65536	22931	3	{n=0}
-117780	擦脂抹	85901	133557	1	null
-117781	岸然	65536	23736	3	{z=0}
-117782	擦脂抹粉	65536	117780	3	{i=0}
-117783	擦边球	65536	137324	3	{n=0}
-117784	攀枝花	93720	130397	2	{ns=2}
-117785	忧容	65536	24551	3	{n=0}
-117786	攀枝花市	65536	117784	3	{ns=0}
-117787	攀缘茎	65536	136408	3	{n=0}
-117788	攀龙附	96826	144729	1	null
-117789	史纲	65536	21490	3	{n=0}
-117790	攀龙附凤	65536	117788	3	{i=0}
-117791	尧舜	65536	23591	3	{n=0}
-117792	挨个	95725	25384	2	{d=0}
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-117794	内侄	65621	20869	2	{n=0}
-117795	攘夺	65536	25880	3	{v=0}
-117796	在先	65536	22312	3	{d=1}
-117797	开放电	73859	165125	1	null
-117798	五色	65536	20116	1	null
-117799	动手	67613	21160	2	{v=16, vn=1}
-117800	攫取	65536	25899	3	{v=1}
-117801	攮子	65536	25902	3	{n=0}
-117802	先祖	65536	20808	3	{n=0}
-117803	支公司	65536	150774	3	{n=1}
-117804	尿肥	65536	23615	3	{n=0}
-117805	支吾其	82021	151496	1	null
-117806	孕育	65536	23381	3	{v=6, vn=1}
-117807	抛售	65536	25243	3	{v=14, vn=1}
-117808	恭恭	87031	24685	1	null
-117809	从警	65536	20174	3	{v=1}
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-117811	支委会	65536	152926	3	{n=0}
-117812	支持率	65536	155275	3	{n=1}
-117813	支付方	65536	150114	3	{n=1}
-117814	支支吾	96253	155833	1	null
-117815	妇救	81890	22919	1	null
-117816	埃舍	73040	22467	1	null
-117817	加人	68753	21152	1	null
-117818	战斗性	65536	163398	3	{n=3}
-117819	支支吾吾	65536	117814	3	{v=0, z=1}
-117820	支楞楞	65536	156904	3	{z=0}
-117821	支气管	89009	157598	2	{n=0}
-117822	支撑力	65536	155675	3	{n=3}
-117823	支气管炎	65536	117821	3	{n=1}
-117824	支票簿	65536	161010	3	{n=0}
-117825	支离破	86965	161093	1	null
-117826	中置	65555	20013	1	null
-117827	支离破碎	65536	117825	3	{i=0}
-117828	传艺	65536	20256	3	{v=0}
-117829	内侧	65536	20869	3	{f=1}
-117830	支配权	65536	167127	3	{n=4}
-117831	支链反	93620	168072	1	null
-117832	支链反应	65536	117831	3	{l=0}
-117833	支队长	65536	168361	3	{n=6}
-117834	岳父	65536	23731	3	{n=0}
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-117836	和和	66723	21644	1	null
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-117840	加仑	65536	21152	3	{q=0}
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-117842	不见	65542	19981	2	{d=1, v=20}
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-117844	廉正	83930	24265	2	{a=0}
-117845	不规	65538	19981	1	null
-117846	收入者	65536	161931	3	{n=1}
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-117848	振华	65536	25391	3	{nr=1, nz=0}
-117849	必先	90991	24517	1	null
-117850	不觉	65536	19981	3	{d=2}
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-117852	收报机	65536	166347	3	{n=0}
-117853	收据簿	65536	166548	3	{n=0}
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-117856	收效甚	93365	167022	1	null
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-117858	中美	65537	20013	1	null
-117859	收效甚微	65536	117856	3	{l=3}
-117860	加以	65536	21152	3	{v=71}
-117861	五花	65601	20116	1	null
-117862	宇宙速	80301	105515	1	null
-117863	宣传牌	65536	117520	3	{n=0}
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-117867	愣头愣	80762	116394	1	null
-117868	执法如	91261	131008	1	null
-117869	收生婆	65536	171077	3	{n=0}
-117870	收益率	65536	171504	3	{n=2}
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-117873	收票员	65536	172174	3	{n=0}
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-117875	忘我	88131	24536	2	{b=5, d=2}
-117876	不解	65781	19981	2	{v=4, vn=0}
-117877	收藏品	65536	175349	3	{n=0}
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-117882	收视率	65536	176364	3	{n=2}
-117883	掸帚	65536	25528	3	{n=0}
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-117890	困苦	65536	22256	3	{a=2, an=7}
-117891	收音机	65536	179993	3	{n=5}
-117892	攸县	65536	25912	3	{ns=0}
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-117907	改头换	79155	150969	1	null
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-117909	改头换面	65536	117907	3	{i=3}
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-117913	多方面	65536	146740	3	{d=0, n=0}
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-117918	体胀	65541	20307	1	null
-117919	司线	71339	21496	1	null
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-117928	改良主义	65536	117930	3	{n=0}
-117929	改过自新	65536	117939	3	{i=1, v=0}
-117930	改良主	97887	161524	1	null
-117931	彝海	78502	24413	1	null
-117932	军乐	65561	20891	2	{n=0}
-117933	射精	74982	23556	1	null
-117934	宿将	65536	23487	3	{n=1}
-117935	操作台	65536	123853	3	{n=0}
-117936	奖章	65536	22870	3	{n=16}
-117937	撞倒	65536	25758	3	{v=0}
-117938	园艺	72889	22253	2	{n=6}
-117939	改过自	91897	164940	1	null
-117940	悔恨	65536	24724	3	{v=1, vn=0}
-117941	改过迁善	65536	121482	3	{i=0}
-117942	奸猾	65536	22904	3	{a=0}
-117943	改邪归	90457	165167	1	null
-117944	偏袒	65536	20559	3	{v=2, vn=0}
-117945	挠度	65536	25376	3	{n=0}
-117946	先秦	65536	20808	3	{t=1}
-117947	帮凶	65536	24110	3	{n=1}
-117948	改邪归正	65536	117943	3	{i=0}
-117949	壁虎	65536	22721	3	{n=0}
-117950	攻关组	65536	131865	3	{n=1}
-117951	怎么样	65536	112410	3	{r=6}
-117952	房管所	65536	152438	3	{j=0}
-117953	养蜂	67805	20859	1	null
-117954	攻其不	95164	131868	1	null
-117955	攻其不备	65536	117954	3	{i=0}
-117956	改革家	65536	166894	3	{n=1}
-117957	攻击力	65536	132001	3	{n=0}
-117958	攻坚战	65536	133376	3	{n=26}
-117959	党纪	65635	20826	2	{n=7}
-117960	攻城掠地	65536	117963	3	{i=0}
-117961	攻城略地	65536	122512	3	{i=0}
-117962	攻守同	87534	134446	1	null
-117963	攻城掠	95640	133492	1	null
-117964	如雷贯	69290	153004	1	null
-117965	攻守同盟	65536	117962	3	{i=0}
-117966	尽兴	65536	23613	3	{v=1}
-117967	党纲	65536	20826	3	{n=0}
-117968	尽其	82292	23613	1	null
-117969	攻心为	97992	135529	1	null
-117970	攻心为上	65536	117969	3	{l=0}
-117971	攻无不	97161	137094	1	null
-117972	攻无不克	65536	117971	3	{i=1}
-117973	中老	65548	20013	1	null
-117974	只能	65536	21482	3	{d=0, v=94}
-117975	中考	65536	20013	3	{n=0, v=0, vn=2}
-117976	内债	65536	20869	3	{n=0}
-117977	摇头晃	84425	127968	1	null
-117978	从谏	65542	20174	1	null
-117979	体能	65536	20307	3	{n=7}
-117980	放之四	89958	160595	1	null
-117981	放之四海	85202	117980	1	null
-117982	放之四海而	87641	117981	1	null
-117983	放之四海而皆	97052	117982	1	null
-117984	千家	69538	21315	2	{nz=0}
-117985	党组	65612	20826	2	{n=29}
-117986	放之四海而皆准	65536	117983	3	{i=0}
-117987	放任自	90019	160771	1	null
-117988	放任自流	65536	117987	3	{i=3}
-117989	放冷箭	65536	161471	3	{l=0}
-117990	人烟	65536	20154	2	{n=0}
-117991	军事	69958	20891	2	{n=240, ns=0}
-117992	化学纤	65644	111696	1	null
-117993	中耕	65536	20013	3	{v=0}
-117994	放卫星	65536	161907	3	{l=0}
-117995	悔悟	65536	24724	3	{v=1, vn=0}
-117996	放在眼	80674	162864	1	null
-117997	告捷	65536	21578	3	{v=7}
-117998	放在眼里	65536	117996	3	{l=1}
-117999	初学	65659	21021	2	{v=0}
-118000	摇摇晃	91297	130803	1	null
-118001	放大器	65536	163375	3	{n=0}
-118002	加佳	65536	21152	3	{nz=0}
-118003	堂皇	70212	22530	2	{a=1, d=1}
-118004	包户	65536	21253	3	{v=7, vn=2}
-118005	放射性束	65536	118223	3	{n=0}
-118006	征兵法	65536	135750	3	{n=0}
-118007	差一	79502	24046	1	null
-118008	放影机	65536	164985	3	{n=0}
-118009	放心店	65536	165067	3	{n=0}
-118010	对抗赛	65536	149714	3	{n=2}
-118011	低缓	65536	20302	3	{ad=0}
-118012	放暗箭	65536	166815	3	{l=0}
-118013	放气孔	65536	168220	3	{n=0}
-118014	创纪	65544	21019	1	null
-118015	放浪形	78409	168562	1	null
-118016	军交	65560	20891	1	null
-118017	放浪形骸	65536	118015	3	{i=0}
-118018	农机	67120	20892	2	{n=8}
-118019	大安镇	65536	151843	3	{ns=0}
-118020	差不	85551	24046	1	null
-118021	奋发进	79698	103578	1	null
-118022	五荒	65536	20116	3	{j=0}
-118023	中耳	65537	20013	2	{n=0}
-118024	扳子	65536	25203	3	{n=0}
-118025	放热反	93817	169461	1	null
-118026	放射形	65536	164108	3	{n=0}
-118027	包扎	65536	21253	3	{v=1, vn=0}
-118028	戒严	94009	25106	2	{v=0}
-118029	放热反应	65536	118025	3	{l=0}
-118030	放电影	65536	170557	3	{vn=1}
-118031	放牛娃	65536	169827	3	{n=0}
-118032	包打	66030	21253	1	null
-118033	娇揉	66182	23047	1	null
-118034	在制	75158	22312	1	null
-118035	巢穴	65536	24034	3	{n=0}
-118036	放眼世	88014	171076	1	null
-118037	奉献	65536	22857	3	{n=4, v=48, vn=14}
-118038	军人	65536	20891	3	{n=76}
-118039	操作员	65536	123853	3	{n=0}
-118040	五荤	65536	20116	3	{n=0}
-118041	农村	65553	20892	2	{n=668}
-118042	放眼世界	65536	118036	3	{i=1}
-118043	放荡不	85406	174185	1	null
-118044	放空枪	65536	171906	3	{l=0}
-118045	弛缓	65536	24347	3	{a=0}
-118046	握别	65536	25569	3	{v=1}
-118047	放荡不羁	65536	118043	3	{i=2}
-118048	放虎归	94387	174934	1	null
-118049	放映员	65536	166696	3	{n=0}
-118050	全数	65536	20840	3	{n=0}
-118051	十恶	69493	21313	1	null
-118052	放虎归山	65536	118048	3	{i=0}
-118053	妄自	78565	22916	1	null
-118054	放贷人	65536	176703	3	{n=2}
-118055	徇私舞	86918	117637	1	null
-118056	中联	65545	20013	2	{nz=2}
-118057	塞擦	65552	22622	1	null
-118058	初审	65536	21021	3	{v=0, vn=0}
-118059	政企不	97062	152142	1	null
-118060	政企不分	65536	118059	3	{l=5}
-118061	政出多	79687	152903	1	null
-118062	容止	65536	23481	3	{n=0}
-118063	政出多门	65536	118061	3	{l=1}
-118064	政制事	96912	152963	1	null
-118065	政制事务	94454	118064	1	null
-118066	体腔	65536	20307	3	{n=0}
-118067	包扶	65536	21253	3	{v=7, vn=0}
-118068	寻常	65536	23547	3	{a=18}
-118069	保票	65536	20445	3	{n=0}
-118070	政制事务局	65536	118065	3	{n=1}
-118071	政府部门	65536	134283	3	{n=17}
-118072	政治委员	65536	125045	3	{n=2}
-118073	全文	65536	20840	3	{n=9}
-118074	政务会	65536	153070	3	{n=0}
-118075	政治权利	65536	128484	3	{l=3}
-118076	政治经济	94687	134512	1	null
-118077	庙滩	71636	24217	1	null
-118078	政府军	65536	156137	3	{n=4}
-118079	军代	65763	20891	1	null
-118080	军令	65639	20891	2	{n=0}
-118081	包抄	65536	21253	3	{v=0, vn=0}
-118082	差之	80737	24046	1	null
-118083	工业界	65536	149098	3	{n=0}
-118084	和善	65536	21644	3	{a=3, an=0}
-118085	政治经济学	88061	118076	2	{n=15}
-118086	撬棍	65536	25772	3	{n=0}
-118087	指示器	65536	161375	3	{n=1}
-118088	创维	65536	21019	3	{nz=0}
-118089	政治经济学界	65536	118085	3	{n=2}
-118090	政研室	65536	162657	3	{j=1}
-118091	撬棒	65536	25772	3	{n=0}
-118092	政绩观	65536	164406	3	{n=0}
-118093	喀麦	65591	21888	1	null
-118094	政法委	65536	159778	3	{j=11}
-118095	政策史	65536	163491	3	{n=3}
-118096	廉江	85949	24265	1	null
-118097	政通人	96457	168807	1	null
-118098	帆船	65536	24070	3	{n=2}
-118099	倒腾	65536	20498	3	{v=1}
-118100	措置得当	65536	118788	3	{l=0}
-118101	政通人和	65536	118097	3	{i=2}
-118102	抹不	91338	25273	1	null
-118103	扶贫帮	92843	147087	1	null
-118104	尺短	83851	23610	1	null
-118105	政论家	65536	167687	3	{n=0}
-118106	微分电	75159	139976	1	null
-118107	喷喷	65545	21943	1	null
-118108	保福	66713	20445	1	null
-118109	故乡人	65536	138758	3	{n=2}
-118110	故伎重	89677	138931	1	null
-118111	农林	65536	20892	2	{j=6}
-118112	孟良	79612	23391	1	null
-118113	故伎重演	65536	118110	3	{i=1}
-118114	全新	65536	20840	3	{b=29, d=0}
-118115	帮办	65536	24110	3	{n=1, v=0}
-118116	故作姿	93540	139009	1	null
-118117	故作姿态	65536	118116	3	{i=0}
-118118	五莲	65660	20116	1	null
-118119	修饰	65587	20462	2	{v=1, vn=0}
-118120	故土难	86898	140996	1	null
-118121	指甲夹	65536	160343	3	{n=0}
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-118123	全方	67252	20840	1	null
-118124	尺码	65536	23610	3	{n=0}
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-118126	帮助	65536	24110	3	{v=276, vd=0, vn=49}
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-118128	慌张	65536	24908	3	{a=0}
-118129	故地重	89914	141013	1	null
-118130	故地重游	65536	118129	3	{l=0}
-118131	弑父	65536	24337	3	{v=0}
-118132	冰景	65536	20912	3	{n=0}
-118133	故城县	65536	141171	3	{ns=0}
-118134	捞取	65536	25438	3	{v=0}
-118135	故弄玄	83754	143017	1	null
-118136	命脉	65536	21629	3	{n=11}
-118137	指挥仪	65536	155722	3	{n=0}
-118138	偷走	65536	20599	3	{v=1}
-118139	冰晶	65540	20912	2	{n=1}
-118140	即若	65536	21363	3	{c=0}
-118141	改弦更	93563	152491	1	null
-118142	故事会	65536	138800	3	{n=0}
-118143	帕米	85322	24085	1	null
-118144	冷敷	65536	20919	3	{v=0}
-118145	冬耕	65536	20908	3	{n=0}
-118146	差事	65536	24046	3	{n=1}
-118147	中肯	65536	20013	3	{a=3}
-118148	故弄玄虚	65536	118135	3	{i=0}
-118149	悠悠	87965	24736	2	{z=8}
-118150	体膨	65536	20307	1	null
-118151	在劫	65639	22312	1	null
-118152	忽忽	92345	24573	2	{d=1}
-118153	劳动课	65536	109156	3	{n=5}
-118154	愣怔	89214	24867	1	null
-118155	故态复	84353	143270	1	null
-118156	加倍	65536	21152	3	{b=0, d=2}
-118157	故态复萌	65536	118155	3	{i=0}
-118158	握力	65536	25569	3	{n=0}
-118159	故技重	89726	143909	1	null
-118160	摄影室	65536	123041	3	{n=0}
-118161	推进器	65536	170561	3	{n=1}
-118162	故技重演	65536	118159	3	{i=0}
-118163	故步自	94613	146186	1	null
-118164	偷越	65536	20599	3	{v=0}
-118165	八股	65542	20843	2	{n=0}
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-118167	全日	66508	20840	2	{n=1}
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-118169	效应器	65536	127448	3	{n=0}
-118170	总的来说	65536	112810	3	{c=3, l=1}
-118171	千山	69539	21315	1	null
-118172	取得	65536	21462	3	{v=577, vn=5}
-118173	恐惧症	65536	116196	3	{n=0}
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-118175	敌众我	94661	154523	1	null
-118176	历险	68954	21382	2	{n=0, v=2, vn=0}
-118177	刀耕	65543	20992	1	null
-118178	摄影家	65536	123041	3	{n=10}
-118179	挽力	65536	25405	3	{n=0}
-118180	含糊	73216	21547	2	{a=5, an=0}
-118181	共计	65536	20849	3	{v=18}
-118182	敌众我寡	65536	118175	3	{l=0}
-118183	接待处	65536	158237	3	{n=1}
-118184	意向性	65536	131855	3	{n=1}
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-118186	敌击我	79644	155263	1	null
-118187	千岁	65539	21315	2	{n=0}
-118188	敌击我隐	65536	118186	3	{l=1}
-118189	敌分我	83201	155274	1	null
-118190	敌分我袭	65536	118189	3	{l=1}
-118191	军体	65536	20891	3	{j=2}
-118192	敌占区	65536	155620	3	{n=2}
-118193	公因	65558	20844	1	null
-118194	入殓	65536	20837	3	{v=0}
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-118196	捏合	65536	25423	3	{v=0, vn=0}
-118197	信稿	65536	20449	3	{n=1}
-118198	敌围我散	65536	118195	3	{l=1}
-118199	弹药箱	65536	145803	3	{n=0}
-118200	养蟹	65536	20859	3	{v=1}
-118201	冰暴	65536	20912	3	{an=1, n=11}
-118202	徐水	89846	24464	1	null
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-118205	抗毒血	87186	154411	1	null
-118206	公园	65536	20844	3	{n=55}
-118207	敌强我	93839	158654	1	null
-118208	敌强我弱	65536	118207	3	{l=2}
-118209	党群	66661	20826	2	{j=5}
-118210	塔尔	74225	22612	1	null
-118211	先端	65536	20808	3	{n=0}
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-118213	千岛	65541	21315	1	null
-118214	敌忾同	98048	158850	1	null
-118215	敌忾同仇	65536	118214	3	{i=0}
-118216	敌我矛	87757	159381	1	null
-118217	挤兑	65536	25380	3	{v=0, vn=0}
-118218	共识	65536	20849	3	{n=40, vn=0}
-118219	敌我矛盾	65536	118216	3	{l=0}
-118220	敌敌畏	65536	160208	3	{n=0}
-118221	徐汇	89986	24464	2	{ns=1}
-118222	公国	65536	20844	3	{n=0}
-118223	放射性	91542	164108	2	{n=3}
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-118225	敌杀死	65536	160708	3	{n=0, nz=0}
-118226	敌百虫	65536	164610	3	{n=0}
-118227	敌进我	97992	171103	1	null
-118228	切线	65536	20999	3	{n=0}
-118229	抗菌血	87215	160549	1	null
-118230	吹糠	65623	21561	1	null
-118231	敌进我伏	65536	118227	3	{l=1}
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-118233	扩展性	65536	119620	3	{n=0}
-118234	党羽	65536	20826	3	{n=0}
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-118236	敏化剂	65536	118375	3	{n=0}
-118237	岛礁	65536	23707	3	{n=0}
-118238	弥渡	89214	24357	1	null
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-118240	作登	66568	20316	1	null
-118241	共话	65536	20849	3	{v=1}
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-118243	救世主	65536	140179	3	{n=0}
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-118247	偏见	65536	20559	3	{n=0}
-118248	救亡图	94868	140318	1	null
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-118250	吊儿	65537	21514	1	null
-118251	忘掉	65536	24536	3	{v=6}
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-118253	抗震歌	65536	165472	3	{n=4}
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-118255	救亡运动	65536	132794	3	{l=0}
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-118258	廉洁	89170	24265	2	{a=12, ad=3, an=3}
-118259	救助点	65536	141350	3	{n=1}
-118260	心如死	82958	162674	1	null
-118261	尽力	74666	23613	2	{d=10, v=1}
-118262	救危排	79758	141550	1	null
-118263	救危排险	65536	118262	3	{l=1}
-118264	救命之	93588	141818	1	null
-118265	挣断	65536	25379	3	{v=1}
-118266	扼守	65536	25212	3	{v=1}
-118267	场景	65536	22330	3	{n=12}
-118268	寻开	81979	23547	1	null
-118269	救命之恩	65536	118264	3	{l=1}
-118270	救命稻草	65536	129512	3	{l=0}
-118271	低耗	65536	20302	3	{b=0}
-118272	利物	65536	21033	1	null
-118273	救国救民	65536	123964	3	{l=1}
-118274	折射线	65536	144088	3	{n=0}
-118275	扑克	85382	25169	2	{n=2}
-118276	撞入	65536	25758	3	{v=0}
-118277	救国会	65536	142458	3	{n=1}
-118278	救援艇	65536	145777	3	{n=0}
-118279	救死扶	98020	147704	1	null
-118280	救死扶伤	65536	118279	3	{i=3}
-118281	救火扬沸	65536	118291	3	{i=0}
-118282	内公	66728	20869	1	null
-118283	尾数	65536	23614	3	{n=0}
-118284	坚果	65536	22362	3	{n=0}
-118285	开创者	65536	160226	3	{n=1}
-118286	救护所	65536	145441	3	{n=1}
-118287	共谋	65536	20849	3	{v=0}
-118288	救灾款	65536	148987	3	{n=8}
-118289	冬肥	65536	20908	3	{n=0}
-118290	塞族	76962	22622	2	{j=0, nz=4}
-118291	救火扬	90449	148968	1	null
-118292	宣判	65536	23459	3	{v=3, vn=1}
-118293	救苦救	79705	153699	1	null
-118294	掠取	65536	25504	3	{v=0, vn=0}
-118295	救苦救难	65536	118293	3	{i=0}
-118296	救险队	65536	158694	3	{n=0}
-118297	救难船	65536	158779	3	{n=0}
-118298	借词	65536	20511	3	{n=0}
-118299	吊兰	65536	21514	3	{n=0}
-118300	填词	65536	22635	3	{v=1}
-118301	埃菲	73981	22467	1	null
-118302	假若	65536	20551	3	{c=2}
-118303	塔山	65536	22612	3	{ns=1}
-118304	徒有	90459	24466	1	null
-118305	全景	65536	20840	3	{n=2, nr=0}
-118306	印数	65536	21360	3	{n=1}
-118307	动摇	65536	21160	3	{a=1, an=0, v=36, vn=0}
-118308	冰期	65536	20912	3	{t=0}
-118309	引以为耻	73662	110444	2	{l=0}
-118310	停表	65536	20572	3	{n=0}
-118311	摩托船	65536	130520	3	{n=0}
-118312	敖汉旗	65536	126051	3	{ns=2}
-118313	慌忙	65536	24908	3	{ad=1}
-118314	微山湖	65536	142643	3	{ns=1}
-118315	忽悠	87758	24573	2	{z=0}
-118316	帝王	85351	24093	2	{n=1}
-118317	教书育人	65536	129987	3	{l=2}
-118318	执政府	65536	129066	3	{n=0}
-118319	教体委	65536	158719	3	{j=0}
-118320	拦住	65536	25318	3	{v=6}
-118321	教书匠	65536	158482	3	{n=0}
-118322	不计	65555	19981	1	null
-118323	喷嚏	65536	21943	3	{n=0}
-118324	尊称	65536	23562	3	{n=0, v=0}
-118325	摩托艇	65536	130520	3	{n=0}
-118326	敖东	65536	25942	3	{nz=0}
-118327	教养员	65536	159271	3	{n=0}
-118328	教务处	65536	159565	3	{n=0}
-118329	择善	83401	25321	1	null
-118330	力臂	65536	21147	3	{n=0}
-118331	教子有	92292	161788	1	null
-118332	以西	65536	20197	3	{f=6}
-118333	教子有方	65536	118331	3	{i=3}
-118334	叫绝	65536	21483	3	{v=2}
-118335	教学相长	65536	121875	3	{i=0}
-118336	奋起	75837	22859	2	{v=3, vd=0, vn=0}
-118337	摄影展	65536	123041	3	{n=2}
-118338	教导员	65536	161960	3	{n=1}
-118339	教授级	65536	163892	3	{b=0}
-118340	不讳	65536	19981	3	{v=0}
-118341	教唆犯	65536	160178	3	{n=0}
-118342	教条主义	65536	118357	3	{n=1}
-118343	垂直	66294	22402	2	{v=3, vd=2, vn=1}
-118344	借读	65536	20511	3	{v=0, vn=0}
-118345	不许	65536	19981	3	{d=9, v=2}
-118346	扫帚星	65536	123375	3	{n=0}
-118347	不论	65540	19981	2	{c=23, v=0}
-118348	教科书	65536	169597	3	{n=4}
-118349	中腹	65899	20013	2	{n=0}
-118350	拐子	65536	25296	3	{n=0}
-118351	在即	65536	22312	3	{v=2}
-118352	借调	65536	20511	3	{v=0}
-118353	教研室	65536	169152	3	{n=2}
-118354	擒敌	65536	25810	3	{v=0, vn=0}
-118355	公垂	65633	20844	1	null
-118356	拉丁文	65536	157133	3	{nz=0}
-118357	教条主	98301	164877	1	null
-118358	墙纸	65536	22681	3	{n=0}
-118359	不识	65540	19981	1	null
-118360	刀背	65536	20992	3	{n=0}
-118361	教科文卫	98063	124269	2	{j=0}
-118362	执行官	65536	138039	3	{n=4}
-118363	延揽	65536	24310	3	{v=0}
-118364	哈拉	74442	21704	1	null
-118365	掰掰	65536	25520	3	{v=1}
-118366	成人式	65536	155916	3	{n=2}
-118367	包探	65536	21253	3	{n=0}
-118368	惯技	65536	24815	3	{n=0}
-118369	所在	92148	25152	2	{n=38, v=2, vn=0}
-118370	教科文卫体	65536	118361	3	{j=0}
-118371	学生装	65536	150001	3	{n=0}
-118372	懂得	65536	25026	3	{v=28}
-118373	教练员	65536	170863	3	{n=17}
-118374	披头	89633	25259	1	null
-118375	敏化	97178	25935	1	null
-118376	教职员工	65536	118385	3	{j=7}
-118377	拂晓	65536	25282	3	{t=2}
-118378	必要条	91840	132242	1	null
-118379	印方	65536	21360	3	{n=2}
-118380	教师爷	65536	162484	3	{n=1}
-118381	帮厨	65536	24110	3	{v=0}
-118382	技术学	88518	129020	1	null
-118383	摹写	65536	25721	3	{v=0}
-118384	人物	65647	20154	2	{n=153}
-118385	教职员	94339	171256	2	{n=0}
-118386	挤出	65536	25380	3	{v=8}
-118387	教育学家	65536	121346	3	{n=1}
-118388	取息	65536	21462	3	{v=1}
-118389	教育工作	85620	121985	1	null
-118390	差使	65536	24046	3	{n=0, v=0, vn=0}
-118391	不详	65536	19981	3	{v=2}
-118392	农械	65536	20892	3	{n=0}
-118393	教育工作者	65536	118389	3	{n=3}
-118394	敛息	94765	25947	1	null
-118395	库克	77081	24211	2	{nr=20, ns=0}
-118396	敛息屏	95629	118394	1	null
-118397	敛息屏声	65536	118396	3	{i=1}
-118398	副神	65652	21103	1	null
-118399	以观	65644	20197	1	null
-118400	搀和	65536	25600	3	{v=0}
-118401	化疗	65536	21270	3	{v=1, vn=1}
-118402	敝处	65536	25949	3	{s=0}
-118403	姑父	65536	22993	3	{n=0}
-118404	姑爷	65536	22993	3	{n=1}
-118405	不说	65536	19981	3	{c=1, u=0, v=0}
-118406	宿州	81872	23487	2	{ns=3}
-118407	医药	65584	21307	2	{n=63}
-118408	敝帚自	88764	119704	1	null
-118409	敝帚自珍	65536	118408	3	{i=0}
-118410	敞篷车	65536	130010	3	{n=0}
-118411	掩人	84288	25513	1	null
-118412	敢为人	97606	118432	1	null
-118413	决非	67429	20915	2	{v=0}
-118414	敢为人先	65536	118412	3	{i=1, l=1}
-118415	嫁衣	65536	23233	3	{n=0}
-118416	投票率	65536	157166	3	{n=1}
-118417	敞亮	65536	25950	3	{a=2}
-118418	岩石	84554	23721	2	{n=4}
-118419	光气	65536	20809	3	{n=0}
-118420	敢作敢	98395	118722	1	null
-118421	敢作敢为	65536	118420	3	{i=0}
-118422	引黄灌	89206	163859	1	null
-118423	教学楼	65536	161810	3	{n=3}
-118424	内出	65537	20869	1	null
-118425	敢怒不	92476	123000	1	null
-118426	撞击	65536	25758	3	{v=1, vn=1}
-118427	搜刮	65536	25628	3	{v=0}
-118428	不谋	65561	19981	1	null
-118429	摸奖	65536	25720	3	{v=0}
-118430	敢怒不敢	83105	118425	1	null
-118431	冷暖	65553	20919	2	{n=13}
-118432	敢为	98258	25954	1	null
-118433	敢怒不敢言	65536	118430	3	{i=0}
-118434	戴高帽	93571	131783	1	null
-118435	惹恼	65536	24825	3	{v=0}
-118436	内分	65536	20869	1	null
-118437	内切	65575	20869	1	null
-118438	愤怒	65536	24868	3	{a=0, ad=0, an=0, v=0}
-118439	敢死队	65536	125921	3	{n=0}
-118440	假药	65536	20551	3	{n=0}
-118441	散兵游	97253	141595	1	null
-118442	不谙	65536	19981	3	{v=2}
-118443	取悦	65536	21462	3	{v=0}
-118444	散兵游勇	65536	118441	3	{i=0}
-118445	巧克	87141	24039	1	null
-118446	射线	65536	23556	3	{n=0}
-118447	散射光	65536	144298	3	{n=0}
-118448	信笺	65536	20449	3	{n=0}
-118449	大队长	65536	166841	3	{n=2}
-118450	散热器	65536	149651	3	{n=0}
-118451	散瞳药	65536	151385	3	{n=0}
-118452	散文家	65536	146733	3	{n=0}
-118453	拿手戏	65536	130951	3	{n=3}
-118454	人犯	65536	20154	3	{n=1}
-118455	散货船	65536	156877	3	{n=1}
-118456	便门	65536	20415	3	{n=0}
-118457	敦刻尔	97651	119879	1	null
-118458	包揽	65536	21253	3	{v=5}
-118459	恒久	65536	24658	3	{a=0, ad=1, an=0, z=0}
-118460	交角	65536	20132	3	{n=0}
-118461	害羞	65536	23475	3	{a=2}
-118462	敦刻尔克	65536	118457	3	{n=0}
-118463	敦敦实	95010	124786	1	null
-118464	敦敦实实	65536	118463	3	{z=0}
-118465	属相	65536	23646	3	{n=0}
-118466	加元	65536	21152	3	{n=1, q=31}
-118467	害群	85686	23475	1	null
-118468	婚外	78527	23130	1	null
-118469	敦煌市	65536	127832	3	{ns=0}
-118470	免验	65557	20813	2	{v=0}
-118471	哀怒	65536	21696	3	{a=0}
-118472	信筒	65536	20449	3	{n=0}
-118473	制片	68559	21046	2	{n=0, v=0, vn=3}
-118474	制版	65536	21046	3	{v=0, vn=0}
-118475	孤儿院	65536	120974	3	{n=4}
-118476	压服	65536	21387	3	{v=1}
-118477	敬老养	85709	145872	1	null
-118478	敬老养老	65536	118477	3	{l=1}
-118479	劳动资	65782	109156	1	null
-118480	品牌	65536	21697	3	{n=76}
-118481	哀怜	65536	21696	3	{v=0}
-118482	哀思	65536	21696	3	{n=1}
-118483	公堂	65536	20844	3	{n=2}
-118484	敬而远	98443	145883	1	null
-118485	婉言	67289	23113	2	{d=2}
-118486	敬而远之	65536	118484	3	{i=0}
-118487	余辉	65536	20313	3	{n=1}
-118488	戊戌政	92574	121634	1	null
-118489	敬若神	92365	146612	1	null
-118490	化痰	65542	21270	2	{v=0}
-118491	敬若神明	65536	118489	3	{i=0}
-118492	敬请光临	65536	118507	3	{l=0}
-118493	哀怨	65536	21696	3	{a=1, an=0}
-118494	搅动	65536	25605	3	{v=0}
-118495	敬请指教	65536	123049	3	{l=0}
-118496	敬请斧正	65536	123721	3	{l=0}
-118497	冰柜	65536	20912	3	{n=0}
-118498	敬谢不	92568	148977	1	null
-118499	孟菲	77436	23391	1	null
-118500	加入	65536	21152	3	{v=103, vn=2}
-118501	低能	65717	20302	2	{a=0}
-118502	惟恐	65536	24799	3	{v=1}
-118503	敬谢不敏	65536	118498	3	{i=0}
-118504	弥漫	65536	24357	3	{v=13, vn=0}
-118505	化学肥	65795	111696	1	null
-118506	数一数	98403	146545	1	null
-118507	敬请光	98472	148934	1	null
-118508	扣头	65536	25187	3	{n=0}
-118509	救生伞	65536	150172	3	{n=0}
-118510	干涉现	73160	159194	1	null
-118511	数一数二	65536	118506	3	{i=1}
-118512	数不胜数	65536	120988	3	{i=1, l=0}
-118513	副科	65694	21103	1	null
-118514	数九寒	97607	146638	1	null
-118515	数九寒冬	65536	118514	3	{l=1}
-118516	敢于	65536	25954	3	{v=34, vd=0}
-118517	全权	67360	20840	2	{d=0, n=3}
-118518	冰柱	65536	20912	3	{n=0}
-118519	戴月	89081	25140	1	null
-118520	数以万计	65536	118536	3	{l=3}
-118521	数以亿计	65536	118720	3	{l=2}
-118522	数以十万	82782	119874	1	null
-118523	摧残	65536	25703	3	{v=2, vn=2}
-118524	愤恨	65536	24868	3	{a=0, vn=0}
-118525	徐海	65536	24464	3	{n=0}
-118526	中航	65536	20013	3	{j=2}
-118527	数以十万计	65536	118522	3	{l=2}
-118528	数不着	65536	146558	3	{l=0}
-118529	倒茬	65536	20498	3	{v=0}
-118530	数以千计	65536	119876	3	{l=1}
-118531	全村	67403	20840	2	{n=44}
-118532	数以百万计	65536	118533	3	{l=3}
-118533	数以百万	82787	128895	1	null
-118534	宣化	65536	23459	3	{ns=2}
-118535	到达	65537	21040	2	{v=26, vn=1}
-118536	数以万	82775	146774	1	null
-118537	成群连	84917	168438	1	null
-118538	数值串	65536	147117	3	{n=0}
-118539	数典忘	87478	147433	1	null
-118540	数典忘祖	65536	118539	3	{i=0}
-118541	数学家	65536	149975	3	{n=3}
-118542	数年如	98575	150757	1	null
-118543	数年如一	65536	118542	3	{i=1}
-118544	悖晦	65536	24726	3	{a=0}
-118545	摹刻	65536	25721	3	{n=0, v=0}
-118546	数得着	65536	151048	3	{l=0}
-118547	数来宝	65536	153046	3	{n=0}
-118548	加冕	65549	21152	2	{v=0}
-118549	冲绳	66566	20914	2	{ns=1}
-118550	搽脂	92131	25661	1	null
-118551	数理化	65536	156279	3	{j=1}
-118552	千差	69540	21315	1	null
-118553	寻思	65536	23547	3	{v=0}
-118554	数理经济	95158	129744	1	null
-118555	加农	65536	21152	1	null
-118556	数理经济学	65536	118554	3	{n=1}
-118557	恒产	65536	24658	3	{n=0}
-118558	利率	65563	21033	2	{n=122}
-118559	威斯	78814	23041	1	null
-118560	压条	65536	21387	3	{v=0}
-118561	妆饰	65536	22918	3	{n=0, v=0}
-118562	数目字	65536	157023	3	{n=0}
-118563	挡土	93812	25377	1	null
-118564	掩体	65536	25513	3	{n=0}
-118565	对称轴	65536	155691	3	{n=0}
-118566	搂草机	65536	125654	3	{n=0}
-118567	信箱	65536	20449	3	{n=6}
-118568	数米而	89760	158436	1	null
-118569	华埠	65567	21326	2	{j=1}
-118570	数米而炊	65536	118568	3	{i=0}
-118571	哭鼻	71361	21741	1	null
-118572	数见不	78481	161842	1	null
-118573	数见不鲜	65536	118572	3	{l=0}
-118574	敲丧钟	65536	120542	3	{l=0}
-118575	壮歌	65536	22766	3	{n=3}
-118576	千帆	65537	21315	1	null
-118577	摧毁	65536	25703	3	{v=6}
-118578	敲山震	84198	124200	1	null
-118579	差值	65536	24046	3	{n=0}
-118580	敲山震虎	65536	118578	3	{i=0}
-118581	敲敲打	93411	126505	1	null
-118582	敲敲打打	65536	118581	3	{l=0}
-118583	数字串	65536	149960	3	{n=0}
-118584	厂籍	65536	21378	3	{n=2}
-118585	内力	65536	20869	3	{n=3}
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-118587	敲竹杠	65536	132016	3	{v=0}
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-118589	内功	65536	20869	3	{n=8}
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-118595	敲边鼓	65536	137328	3	{v=0}
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-118597	敲锣打鼓	65536	118596	3	{l=0}
-118598	人猿	65536	20154	3	{n=0}
-118599	内助	65536	20869	3	{n=0}
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-118602	备忘	74479	22791	1	null
-118603	华堂	65536	21326	3	{nz=1}
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-118607	应用科	86426	146805	1	null
-118608	敲骨吸	78976	140127	1	null
-118609	悠扬	65536	24736	3	{a=3}
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-118613	命苦	65536	21629	3	{a=0}
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-118615	敲门声	65536	138911	3	{n=0}
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-118617	完整	80611	23436	2	{a=46, ad=4, an=6, v=1}
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-118622	整年累	92248	149924	1	null
-118623	冬至	65642	20908	2	{t=1}
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-118625	光波	65536	20809	3	{n=0}
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-118627	整数型	65536	151712	3	{n=0}
-118628	公墓	65536	20844	3	{n=3}
-118629	整整齐	77846	151716	1	null
-118630	整整齐齐	65536	118629	3	{z=5}
-118631	整旧如	92600	151831	1	null
-118632	整旧如新	65536	118631	3	{l=0}
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-118635	投资家	65536	162250	3	{n=1}
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-118640	偷车	65543	20599	1	null
-118641	哀悼	65536	21696	3	{v=0, vn=2}
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-118645	敷衍了	98540	127575	1	null
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-118651	文不加	89796	166749	1	null
-118652	光泽	65536	20809	3	{n=1}
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-118663	太平镇	65536	119957	3	{ns=0}
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-118665	文人相轻	65536	125725	3	{i=0}
-118666	光洋	65536	20809	3	{n=0}
-118667	文人学	95892	166922	1	null
-118668	文从字	79637	166942	1	null
-118669	惩戒	65536	24809	3	{v=0, vn=0}
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-118672	加刑	65536	21152	3	{v=0}
-118673	叶窗	65536	21494	3	{n=1}
-118674	数据位	65536	152031	3	{n=0}
-118675	巡洋	74788	24033	1	null
-118676	文代会	65536	166963	3	{j=1}
-118677	文体广	88676	167075	1	null
-118678	入海	66048	20837	1	null
-118679	戎马	94095	25102	1	null
-118680	拜把子	65536	135803	3	{v=0}
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-118682	拱圈	65536	25329	3	{n=0}
-118683	墓茔	65536	22675	3	{n=0}
-118684	慌慌	89487	24908	1	null
-118685	文体广电局	65536	118681	3	{j=1, n=0}
-118686	千年	65538	21315	2	{t=0}
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-118693	中苑	65536	20013	3	{nz=0}
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-118697	婚姻	75320	23130	2	{n=6}
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-118699	文化大革命	65536	118698	3	{nz=6}
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-118701	文化学术	65536	129442	3	{n=0}
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-118704	文化战略论	65536	118703	3	{n=1}
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-118718	文化教育	65536	131989	3	{l=9}
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-118730	文如其	98577	169682	1	null
-118731	文如其人	65536	118730	3	{i=0}
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-118763	揣摩	65536	25571	3	{v=5}
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-118769	抄家	65536	25220	3	{v=0}
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-118772	摄影师	65536	123041	3	{n=4}
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-118777	文恬武嬉	65536	118774	3	{i=0}
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-118780	愤慨	65536	24868	3	{a=0, an=0}
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-118785	文房四宝	65536	118784	3	{i=0}
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-118789	文昌市	65536	172892	3	{ns=0}
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-118907	文韬武略	65536	118906	3	{i=1}
-118908	文风不	97752	185886	1	null
-118909	忧思	65536	24551	3	{n=0}
-118910	掘开	65536	25496	3	{v=0}
-118911	宿志	65536	23487	3	{n=0}
-118912	文风不动	65536	118908	3	{i=0}
-118913	抒怀	65536	25234	3	{v=0, vn=0}
-118914	巧匠	65536	24039	3	{n=0}
-118915	占领	70529	21344	2	{v=28, vn=1}
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-118917	印染	69771	21360	2	{v=0, vn=0}
-118918	掉以	80042	25481	1	null
-118919	斋月灯	65536	122880	3	{n=1}
-118920	斐济	98072	26000	2	{ns=4}
-118921	斐济共	97278	118920	1	null
-118922	斐济共和	96655	118921	1	null
-118923	威望	65536	23041	3	{n=7}
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-118925	斋戒日	65536	121610	3	{t=0}
-118926	斑豹一	87531	137037	1	null
-118927	指挥刀	65536	155722	3	{n=0}
-118928	斑豹一窥	65536	118926	3	{i=1}
-118929	备感	65536	22791	3	{v=1}
-118930	军制	65536	20891	3	{n=0}
-118931	斑马线	65536	140608	3	{n=0}
-118932	念念	92313	24565	2	{v=0}
-118933	斑驳陆	87774	140615	1	null
-118934	内司	65550	20869	1	null
-118935	以诚	65544	20197	1	null
-118936	掉价	95977	25481	2	{v=0}
-118937	斑驳陆离	65536	118933	3	{i=1}
-118938	喷壶	65536	21943	3	{n=0}
-118939	慌手	88935	24908	1	null
-118940	斗心眼	65536	140489	3	{v=0}
-118941	挡墙	65536	25377	3	{n=2}
-118942	斗志昂	93747	140509	1	null
-118943	斗志昂扬	65536	118942	3	{i=0}
-118944	广告牌	65536	145466	3	{n=0}
-118945	放心房	65536	165067	3	{n=0}
-118946	斗智斗	97756	142208	1	null
-118947	斗智斗勇	65536	118946	3	{i=0}
-118948	奋进	65536	22859	3	{v=20, vn=4}
-118949	斗烟丝	65536	144869	3	{n=0}
-118950	悉尼港	65536	115180	3	{ns=0}
-118951	惟我	84035	24799	1	null
-118952	拓本	65536	25299	3	{n=0}
-118953	情人楼	65536	143159	3	{n=1}
-118954	取报	65536	21462	3	{v=1}
-118955	斗转星	87730	152690	1	null
-118956	宇通	65536	23431	3	{nz=0}
-118957	斗转星移	65536	118955	3	{i=1}
-118958	希少	65536	24076	3	{a=0}
-118959	内向	65538	20869	2	{a=0}
-118960	和声	65536	21644	3	{n=1}
-118961	希尔	69826	24076	1	null
-118962	功罪	65536	21151	3	{n=1}
-118963	威权	65536	23041	3	{n=0}
-118964	恍然	90056	24653	2	{d=1, z=0}
-118965	斗酒百	87280	153176	1	null
-118966	利生	65536	21033	3	{nz=0}
-118967	斗酒百篇	65536	118965	3	{i=0}
-118968	墙脚	65536	22681	3	{n=0}
-118969	加区	65536	21152	3	{j=0}
-118970	摹古	65536	25721	3	{v=0}
-118971	斗门县	65536	154350	3	{ns=1}
-118972	料事如	87904	122202	1	null
-118973	塔式	65536	22612	3	{b=0}
-118974	料事如神	65536	118972	3	{i=0}
-118975	利用	65565	21033	2	{n=3, nz=0, p=0, v=312, vn=34}
-118976	巡游	65536	24033	3	{v=6, vn=1}
-118977	料理台	65536	131797	3	{n=1}
-118978	搅和	65536	25605	3	{v=0}
-118979	就业观	65536	124726	3	{n=1}
-118980	作祟	65536	20316	3	{v=5}
-118981	斜体字	65536	130333	3	{n=0}
-118982	斜对面	65536	133571	3	{f=0}
-118983	斜拉桥	65536	135315	3	{n=0}
-118984	斜纹布	65536	142467	3	{n=0}
-118985	斜线号	65536	142473	3	{n=0}
-118986	斜视图	65536	145296	3	{n=0}
-118987	斜长石	65536	148297	3	{n=0}
-118988	损坏	65536	25439	3	{v=9, vn=3}
-118989	斜风细	80358	149144	1	null
-118990	斜风细雨	65536	118989	3	{i=1}
-118991	哀戚	65536	21696	3	{a=0}
-118992	宿怨	65536	23487	3	{n=0}
-118993	斟茶	65536	26015	3	{v=0}
-118994	斡旋	65536	26017	3	{v=3, vn=3}
-118995	扫黄打	76225	139929	1	null
-118996	斤斤计	82258	125089	1	null
-118997	斤斤计较	65536	118996	3	{i=1}
-118998	斥之为	65536	119009	3	{l=0}
-118999	斧头	65536	26023	3	{n=0}
-119000	喷头	65536	21943	3	{n=1}
-119001	斩假石	65536	119036	3	{n=0}
-119002	斩头去	95389	121321	1	null
-119003	斩头去尾	65536	119002	3	{l=0}
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-119005	化石	65542	21270	2	{n=20}
-119006	尽善	83841	23613	1	null
-119007	斩尽杀	86533	122098	1	null
-119008	彭畈	91056	24429	1	null
-119009	斥之	98972	26021	1	null
-119010	斩尽杀绝	65536	119007	3	{i=0}
-119011	斩草除	92333	132094	1	null
-119012	刺细	65544	21050	1	null
-119013	慢件	65536	24930	3	{n=0}
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-119015	戒刀	65536	25106	3	{n=0}
-119016	斩钉截	80939	136510	1	null
-119017	害臊	65536	23475	3	{a=0}
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-119020	斩钉截铁	65536	119016	3	{i=0}
-119021	断井颓	96590	149821	1	null
-119022	减缓	65536	20943	3	{a=0, v=6, vn=1}
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-119026	交谈	65536	20132	3	{v=28, vn=7}
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-119029	悉尼湾	65536	115180	3	{ns=0}
-119030	断代史	65536	149899	3	{n=0}
-119031	军力	65536	20891	3	{n=0}
-119032	断垣残	96312	152139	1	null
-119033	断垣残壁	65536	119032	3	{i=0}
-119034	斋堂	94887	25995	1	null
-119035	军功	65541	20891	2	{n=0}
-119036	斩假	88294	26025	1	null
-119037	军务	65536	20891	3	{n=0}
-119038	宗祠	65536	23447	3	{n=0}
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-119041	刺绣	66926	21050	2	{n=2, v=1}
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-119052	括弧	65536	25324	3	{n=0}
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-119071	愈来	88769	24840	1	null
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-119080	断简残编	65536	119079	3	{i=0}
-119081	断线风	87502	162151	1	null
-119082	奖罚	80202	22870	2	{v=0}
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-119084	做饭	65536	20570	3	{v=11, vn=0}
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-119089	夸诞	65536	22840	3	{a=0}
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-119220	斯里兰卡民主社会	99195	119217	1	null
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-119228	停课	65536	20572	3	{v=3}
-119229	咸鸭	65539	21688	1	null
-119230	处世	65536	22788	3	{v=2, vn=0}
-119231	斯里兰卡民主社会主义	98392	119222	1	null
-119232	得意洋	83454	141798	1	null
-119233	成千成	94123	157077	1	null
-119234	幼时	65536	24188	3	{n=1}
-119235	承重梁	65536	155108	3	{n=0}
-119236	妖艳	65536	22934	3	{a=0}
-119237	忍无	90592	24525	1	null
-119238	切花	65536	20999	3	{n=0}
-119239	按摩椅	65536	127671	3	{n=0}
-119240	捻子	65536	25467	3	{n=1}
-119241	斯里兰卡民主社会主义共	97598	119231	1	null
-119242	斯里兰卡民主社会主义共和	96974	119241	1	null
-119243	斯里兰卡民主社会主义共和国	65536	119242	3	{ns=0}
-119244	斯马特	65536	151022	3	{nz=0}
-119245	刻骨	65536	21051	1	null
-119246	新东安	65536	171352	3	{nz=3}
-119247	敦促	65536	25958	3	{v=17, vn=0}
-119248	新义州	65536	171397	3	{ns=0}
-119249	新乐市	65536	171404	3	{ns=0}
-119250	新世界	65536	171346	3	{nz=1}
-119251	新乡市	65536	171421	3	{ns=0}
-119252	初恋	65536	21021	3	{v=1, vn=1}
-119253	扩音机	65536	134882	3	{n=0}
-119254	新人口论	65536	119256	3	{n=2}
-119255	吹胡	70785	21561	1	null
-119256	新人口	83484	171510	1	null
-119257	农民	67134	20892	2	{n=627}
-119258	拉动性	65536	158324	3	{n=1}
-119259	层级	86512	23618	2	{n=0}
-119260	新人新事	65536	123813	3	{l=1}
-119261	找事	65536	25214	3	{v=0}
-119262	收购员	65536	177235	3	{n=0}
-119263	摇摇欲	95117	130803	1	null
-119264	便餐	65536	20415	3	{n=0}
-119265	新仇旧	94586	171523	1	null
-119266	新仇旧恨	65536	119265	3	{i=0}
-119267	新会市	65536	171606	3	{ns=0}
-119268	新余市	65536	171669	3	{ns=0}
-119269	新党和	95093	172182	1	null
-119270	挽回	65536	25405	3	{v=13}
-119271	宿愿	65536	23487	3	{n=1}
-119272	新党和平	65536	119269	3	{nz=4}
-119273	新兴村	65536	172208	3	{ns=2}
-119274	固若	65619	22266	1	null
-119275	媒质	65536	23186	3	{n=0}
-119276	拉普拉斯	65536	115855	3	{n=0}
-119277	幻灭	65536	24187	3	{v=0}
-119278	扫雷机	65536	137932	3	{n=0}
-119279	幻灯	83100	24187	2	{n=1}
-119280	教学法	65536	161810	3	{n=0}
-119281	收发员	65536	162551	3	{n=0}
-119282	新加坡	98435	172508	2	{ns=42}
-119283	处之	70898	22788	1	null
-119284	新加坡共	97641	119282	1	null
-119285	新加坡共和	97017	119284	1	null
-119286	新加坡共和国	65536	119285	3	{ns=0}
-119287	包机	65536	21253	3	{n=0, v=0, vn=1}
-119288	新化县	65536	172626	3	{ns=0}
-119289	不轨	65536	19981	3	{a=0}
-119290	志得	87302	24535	1	null
-119291	新区带	65536	172662	3	{n=0}
-119292	农水	65536	20892	3	{j=1}
-119293	新华书店	65536	119303	3	{n=18}
-119294	新召苏	92891	172840	1	null
-119295	摄像	94598	25668	2	{n=0, v=0, vn=1}
-119296	五行	65536	20116	3	{n=0}
-119297	以资	65538	20197	1	null
-119298	宫腔	67475	23467	1	null
-119299	新召苏木	65536	119294	3	{ns=0}
-119300	新叶村	65536	172850	3	{ns=0}
-119301	新名词	65536	172873	3	{n=0}
-119302	新品种	65536	173053	3	{b=0, n=11}
-119303	新华书	95078	172682	1	null
-119304	新喀里	96497	173244	1	null
-119305	和婉	65536	21644	3	{a=0}
-119306	兴盛	65536	20852	3	{a=2, an=2}
-119307	新喀里多	95696	119304	1	null
-119308	新喀里多尼	99189	119307	1	null
-119309	散文式	65536	146733	3	{b=1}
-119310	包村	65536	21253	3	{v=13, vn=0}
-119311	新喀里多尼亚	65536	119308	3	{ns=0}
-119312	交账	65536	20132	3	{v=0, vn=1}
-119313	交货	65775	20132	2	{v=5, vn=7}
-119314	叫花	69413	21483	1	null
-119315	新四军	65536	173591	3	{n=7}
-119316	新圩镇	65536	173669	3	{ns=1}
-119317	小小说	65536	161303	3	{n=2}
-119318	在场	65536	22312	3	{a=1, v=15, vn=1}
-119319	新城市	65536	173834	3	{ns=0}
-119320	政务司	65536	153070	3	{n=7}
-119321	新墨西	97589	174052	1	null
-119322	新墨西哥	65536	119321	3	{ns=0}
-119323	奔突	65536	22868	3	{v=1}
-119324	影视片	65536	136533	3	{j=0, n=4}
-119325	新声路	65536	174124	3	{ns=2}
-119326	宫腰	65536	23467	3	{nr=0}
-119327	寿星	65536	23551	3	{n=1}
-119328	新婚燕	95760	174486	1	null
-119329	公子	65868	20844	2	{n=1}
-119330	席卷而逃	65536	121739	3	{l=0}
-119331	交费	65536	20132	3	{v=2, vn=1}
-119332	新婚燕尔	65536	119328	3	{i=0}
-119333	低落	65536	20302	3	{a=2, an=1}
-119334	新媳妇	98537	174575	1	null
-119335	悄然	87029	24708	2	{d=12}
-119336	新媳妇儿	65536	119334	3	{l=0}
-119337	打包票	65536	167198	3	{l=0}
-119338	公孙	65536	20844	3	{nr=0}
-119339	导游	84255	23548	2	{n=6, v=1}
-119340	新嫁娘	65536	174589	3	{n=0}
-119341	拐弯	90652	25296	2	{n=0, v=0, vn=0}
-119342	信纸	65536	20449	3	{n=1}
-119343	不辞	65562	19981	1	null
-119344	抑或	65536	25233	3	{c=6}
-119345	新宁县	65536	174781	3	{ns=0}
-119346	扭转形	93560	138680	1	null
-119347	处事	65536	22788	3	{v=0, vn=1}
-119348	急性病	65536	149896	3	{n=0}
-119349	坚毅	77348	22362	2	{a=2, an=2}
-119350	处于	65536	22788	3	{v=121}
-119351	富士通	79646	127165	2	{nt=0, nz=0}
-119352	新大新	65536	174179	3	{nz=1}
-119353	不辨	65536	19981	1	null
-119354	屡见	87704	23649	1	null
-119355	捕拿	65536	25429	3	{v=0}
-119356	新宅村	65536	174785	3	{ns=0}
-119357	便饭	65536	20415	3	{n=0}
-119358	新官上	99140	174804	1	null
-119359	新官上任	99383	119358	1	null
-119360	新官上任三	94140	119359	1	null
-119361	折叠床	65536	142004	3	{n=0}
-119362	不辱	65536	19981	1	null
-119363	夹七	78222	22841	1	null
-119364	弱智	65536	24369	3	{b=1}
-119365	功能	65655	21151	2	{n=129}
-119366	新官上任三把	90590	119360	1	null
-119367	叫苦	72809	21483	2	{v=0}
-119368	新安江	65536	174789	3	{ns=0}
-119369	新官上任三把火	65536	119366	3	{i=0}
-119370	吹腔	65536	21561	3	{n=1}
-119371	新实在	83603	174810	1	null
-119372	拟于	96143	25311	1	null
-119373	新实在论	65536	119371	3	{l=0}
-119374	军史	65541	20891	1	null
-119375	体虱	65536	20307	3	{n=0}
-119376	新密市	65536	174850	3	{ns=0}
-119377	刺耳	65536	21050	3	{a=2}
-119378	新平县	65536	175535	3	{ns=0}
-119379	军号	65536	20891	3	{n=1}
-119380	尼玛	85993	23612	1	null
-119381	振奋	96389	25391	2	{a=1, v=19, vn=0}
-119382	新干县	65536	175534	3	{ns=2}
-119383	新年伊	96401	175536	1	null
-119384	不过	65546	19981	2	{c=44, d=17, u=0, v=0}
-119385	抱不	91452	25265	1	null
-119386	公安	67453	20844	2	{n=188, ns=0}
-119387	新市乡	65536	175422	3	{ns=0}
-119388	新年伊始	65536	119383	3	{l=46}
-119389	夹丝	71440	22841	1	null
-119390	新开河	84492	175676	2	{ns=0}
-119391	新建县	65536	175670	3	{ns=0}
-119392	宇野	65536	23431	3	{nr=0}
-119393	利益	65975	21033	2	{n=290, v=0}
-119394	不近	65674	19981	1	null
-119395	新开河街	65536	119390	3	{ns=0}
-119396	升空	65536	21319	3	{v=12}
-119397	新德里	95335	175859	2	{ns=4}
-119398	十方	65536	21313	3	{n=0}
-119399	投机性	65536	152512	3	{n=2}
-119400	山海经	65536	157502	3	{n=0}
-119401	新德里市	65536	119397	3	{ns=0}
-119402	唱老	65699	21809	1	null
-119403	新思维	65536	175961	3	{nz=0}
-119404	不进	65539	19981	1	null
-119405	不远	65564	19981	1	null
-119406	不违	65537	19981	1	null
-119407	新政协	65536	177275	3	{n=1}
-119408	建筑物	65536	149277	3	{n=22}
-119409	新教徒	65536	177301	3	{n=1}
-119410	公审	65536	20844	3	{v=0}
-119411	劳动部	65590	109156	2	{n=2, nt=7}
-119412	保级	65562	20445	2	{v=4, vn=0}
-119413	新景点	65536	177579	3	{n=1}
-119414	新桃换	93331	178047	1	null
-119415	新文化	65536	177347	3	{n=6}
-119416	拟人	65536	25311	3	{n=0}
-119417	新机制	65536	177782	3	{n=13}
-119418	新桃换旧	87893	119414	1	null
-119419	新桃换旧符	65536	119418	3	{l=1, n=0}
-119420	徒步	75114	24466	2	{d=5, v=0}
-119421	新桥镇	65536	178081	3	{ns=1}
-119422	吊嗓	69927	21514	1	null
-119423	指挥台	65536	155722	3	{n=0}
-119424	减肥	65536	20943	3	{v=1, vn=1}
-119425	新民主	99405	179021	1	null
-119426	广播电	85167	149661	1	null
-119427	心明眼	91677	165886	1	null
-119428	公害	65536	20844	3	{n=4}
-119429	捕捉	65536	25429	3	{v=10, vn=0}
-119430	抑扬	76167	25233	2	{vn=0}
-119431	公家	65536	20844	3	{n=8}
-119432	新民主主	99393	119425	1	null
-119433	担不	89558	25285	1	null
-119434	新民主主义	83669	119432	2	{n=2}
-119435	文武双	97978	174262	1	null
-119436	新民主主义革命	65536	122430	3	{n=6}
-119437	处以	65536	22788	3	{p=0, v=4}
-119438	教育史	65536	171358	3	{n=1}
-119439	新民主主义论	65536	119434	3	{nz=0}
-119440	弃瑕	85969	24323	1	null
-119441	新气象	65536	179024	3	{n=3}
-119442	十日	65609	21313	1	null
-119443	不适	65537	19981	2	{a=0, an=0}
-119444	新沂市	65536	179134	3	{ns=2}
-119445	摄入	65536	25668	3	{v=1}
-119446	托拉斯	65536	134579	3	{n=0, nz=0}
-119447	新沙乡	81234	179157	1	null
-119448	从重	65536	20174	3	{d=4, v=0}
-119449	新沙乡镇	65536	119447	3	{ns=2}
-119450	捕捞	96627	25429	2	{v=2, vn=1}
-119451	新河县	65536	179183	3	{ns=0}
-119452	动检	65536	21160	3	{j=0}
-119453	新泰市	65536	179244	3	{ns=0}
-119454	新泽西	95427	179257	2	{ns=0}
-119455	恒利	65536	24658	3	{nz=0}
-119456	剧院	65536	21095	3	{n=31}
-119457	新泽西州	65536	119454	3	{ns=0}
-119458	剪辑	65536	21098	3	{vn=0}
-119459	太岁	65536	22826	3	{n=0}
-119460	公寓	66343	20844	2	{n=2}
-119461	新玉四	97968	180933	1	null
-119462	带伤	65536	24102	3	{v=0, vd=0}
-119463	新玉四号	65536	119461	3	{nz=0}
-119464	扩容	65536	25193	3	{j=0, v=1, vn=1}
-119465	新生事件	65536	119506	3	{nz=0}
-119466	巫神	65536	24043	3	{n=0}
-119467	不通	65536	19981	3	{a=4, v=0}
-119468	新生力量	65536	120546	3	{l=0}
-119469	场次	65536	22330	3	{n=4, q=5}
-119470	损失	87093	25439	2	{n=112, v=24, vn=24}
-119471	执法必	94922	131008	1	null
-119472	不速	65786	19981	1	null
-119473	夸赞	65536	22840	3	{v=3, vn=1}
-119474	新田村	65536	181356	3	{ns=0}
-119475	新界埠	99411	181384	1	null
-119476	新界埠乡	65536	119475	3	{ns=3}
-119477	播出	65536	25773	3	{v=32, vn=3}
-119478	新疆维吾	95908	125173	1	null
-119479	开发热	65536	160664	3	{n=2}
-119480	新疆维吾尔	86224	119478	1	null
-119481	作答	65536	20316	3	{v=1}
-119482	新疆维吾尔自	91648	119480	1	null
-119483	新疆维吾尔自治	98180	119482	1	null
-119484	故事员	65536	138800	3	{n=0}
-119485	措手	97154	25514	1	null
-119486	新疆维吾尔自治区	65536	119483	3	{n=0}
-119487	新石器	65536	182063	3	{n=1}
-119488	切莫	65536	20999	3	{d=3}
-119489	新秀战	65536	182524	3	{n=2}
-119490	新立村	65536	182791	3	{ns=0}
-119491	新篇章	65536	183043	3	{n=5}
-119492	新纪元	65536	183782	3	{n=3}
-119493	新绛县	65536	183831	3	{ns=0}
-119494	新罗西斯	98688	133388	1	null
-119495	新罗区	65536	183955	3	{ns=0}
-119496	初愿	65536	21021	3	{n=0}
-119497	公寸	65536	20844	3	{q=0}
-119498	新疆棉	65536	181442	3	{n=1}
-119499	新罗西斯克	91294	119494	1	null
-119500	十星	65737	21313	1	null
-119501	新罗西斯克港	65536	119499	3	{ns=2}
-119502	新老交	93136	184125	1	null
-119503	新老交替	65536	119502	3	{l=10}
-119504	新芬党	65536	184808	3	{n=5, nt=0}
-119505	布朗运	87595	143983	1	null
-119506	新生事	99251	181339	1	null
-119507	不遂	65536	19981	3	{v=0}
-119508	因特	65682	22240	1	null
-119509	太岳	79645	22826	2	{ns=21}
-119510	新英格	98663	184877	1	null
-119511	新英格兰	65536	119510	3	{ns=0}
-119512	新蔡县	65536	185437	3	{ns=0}
-119513	军命	65536	20891	3	{n=0}
-119514	心潮起	91625	168286	1	null
-119515	尝试	65536	23581	3	{v=9, vn=10}
-119516	新街口	65536	186259	3	{ns=0}
-119517	新西兰	65536	186555	3	{ns=4}
-119518	新进党	65536	188183	3	{n=17}
-119519	愚懦	65536	24858	3	{a=0}
-119520	文本框	65536	173180	3	{n=0}
-119521	吸血	65541	21560	1	null
-119522	新邵县	65536	188401	3	{ns=0}
-119523	新郎官	65536	188426	3	{n=0}
-119524	不道	65539	19981	1	null
-119525	新郑市	65536	188429	3	{ns=1}
-119526	华宝	65536	21326	3	{nz=2}
-119527	指挥员	65536	155722	3	{n=5}
-119528	不遗	65537	19981	1	null
-119529	动植	65563	21160	1	null
-119530	光火	65536	20809	3	{a=0}
-119531	插翅难飞	65536	117261	3	{i=0}
-119532	新野县	65536	188682	3	{ns=0}
-119533	新针疗	91673	189380	1	null
-119534	新针疗法	65536	119533	3	{l=0}
-119535	新闻公报	65536	125052	3	{l=4}
-119536	新闻出版	89510	125194	1	null
-119537	切菜	65759	20999	1	null
-119538	新闻出版界	65536	119536	3	{n=2}
-119539	斧子	65536	26023	3	{n=0}
-119540	喷子	65536	21943	3	{n=0}
-119541	太阳灯	65536	134229	3	{n=0}
-119542	新闻记者	65536	139968	3	{n=4}
-119543	新闻部长	65536	141304	3	{n=2}
-119544	新陈代	83671	189828	1	null
-119545	新陈代谢	65536	119544	3	{i=3}
-119546	己方	65536	24049	3	{n=2}
-119547	做鬼	65536	20570	3	{v=0}
-119548	太阳灶	65536	134229	3	{n=0}
-119549	新霉素	65536	190021	3	{n=0}
-119550	光灿	65655	20809	1	null
-119551	搞头	65536	25630	3	{n=1}
-119552	挟带	65536	25375	3	{v=0}
-119553	新饿乡	65536	190651	3	{n=1}
-119554	华容	69131	21326	1	null
-119555	农活	65536	20892	3	{n=6}
-119556	新黄浦	65536	192000	3	{nz=0}
-119557	方便之	81184	161279	1	null
-119558	方位图	65536	161165	3	{n=0}
-119559	导演	68443	23548	2	{n=48, v=4, vn=0}
-119560	方便之门	65536	119557	3	{i=2}
-119561	吉斯	65536	21513	3	{nz=1}
-119562	方便面碗	65536	138268	3	{n=1}
-119563	公尺	65536	20844	3	{q=0}
-119564	搜索枯	84437	129423	1	null
-119565	方兴未	86165	161716	1	null
-119566	兵舰	65536	20853	3	{n=0}
-119567	太阳炉	65536	134229	3	{n=0}
-119568	不避	65536	19981	1	null
-119569	打字机	65536	169328	3	{n=0}
-119570	播音室	65536	137390	3	{n=0}
-119571	方兴未艾	65536	119565	3	{i=2}
-119572	书讯	65536	20070	3	{n=1}
-119573	书记	65544	20070	2	{n=340}
-119574	国家裁	75377	138133	1	null
-119575	兵船	65536	20853	3	{n=0}
-119576	周一	65536	21608	3	{t=2}
-119577	停赛	65536	20572	3	{v=0}
-119578	拟作	65536	25311	3	{n=0}
-119579	方向性	65536	162385	3	{n=1}
-119580	公屋	65536	20844	3	{n=0}
-119581	军品	65536	20891	3	{n=1}
-119582	方城县	65536	163342	3	{ns=5}
-119583	敖包	65536	25942	3	{n=0}
-119584	新鲜事	65536	191448	3	{n=8}
-119585	周三	65536	21608	3	{t=1}
-119586	堆龙	73217	22534	1	null
-119587	援兵	65536	25588	3	{n=0}
-119588	方家见	88085	164342	1	null
-119589	救济品	65536	148171	3	{n=0}
-119590	方家见笑	65536	119588	3	{i=0}
-119591	方寸之地	65536	119596	3	{i=0}
-119592	寿木	65536	23551	3	{n=0}
-119593	书评	65536	20070	3	{n=2}
-119594	新生代	65536	181339	3	{n=5}
-119595	功臣	65536	21151	3	{n=6}
-119596	方寸之	97271	164408	1	null
-119597	居住舱	65536	112382	3	{n=0}
-119598	全歼	65536	20840	3	{v=0, vn=1}
-119599	技术性	65536	129020	3	{n=3}
-119600	教条化	65536	164877	3	{v=1}
-119601	方块图	65536	163223	3	{n=0}
-119602	方寸已乱	65536	123603	3	{i=0}
-119603	方山县	65536	164529	3	{ns=3}
-119604	方巾气	65536	164926	3	{n=0}
-119605	方括号	65536	166188	3	{n=0}
-119606	方方正	92116	166905	1	null
-119607	方方正正	65536	119606	3	{z=0}
-119608	方方面面	65536	130869	3	{n=15}
-119609	方框图	65536	167558	3	{n=0}
-119610	奢靡	65536	22882	3	{a=2}
-119611	方法论	65536	168725	3	{n=7}
-119612	方略图	65536	170917	3	{n=0}
-119613	叫菜	65536	21483	3	{v=0}
-119614	方解石	65536	176163	3	{n=0}
-119615	吉日	65536	21513	3	{n=0}
-119616	影剧院	65536	122358	3	{n=0}
-119617	方言学	65536	176192	3	{n=0}
-119618	审美观	65536	129019	3	{n=0}
-119619	惠存	65536	24800	3	{v=0}
-119620	扩展	93618	25193	2	{v=18, vn=7}
-119621	主讲	65536	20027	3	{v=0, vn=0}
-119622	方铅矿	65536	178949	3	{n=0}
-119623	方程式	65536	172107	3	{n=0}
-119624	搞好	65536	25630	3	{v=93, vn=0}
-119625	援军	65536	25588	3	{n=0}
-119626	数据包	65536	152031	3	{n=0}
-119627	方面善解	99484	120632	1	null
-119628	履舄	87566	23653	1	null
-119629	战斗机	65536	163398	3	{n=4}
-119630	打印机	65536	167305	3	{n=2}
-119631	方面军	65536	179618	3	{n=4}
-119632	寿材	65536	23551	3	{n=0}
-119633	主设	65537	20027	1	null
-119634	制盐	65536	21046	3	{v=0}
-119635	微波通	91070	146852	1	null
-119636	方格呢	65536	167548	3	{n=0}
-119637	小三轮	65536	157713	3	{n=2}
-119638	方面善解人	94792	119627	1	null
-119639	方面善解人意	65536	119638	3	{i=0}
-119640	冲茶	65536	20914	3	{v=0}
-119641	施工图	65536	138023	3	{n=0}
-119642	劳动量	65536	109156	3	{n=2}
-119643	施恩图	94391	138667	1	null
-119644	施恩图报	65536	119643	3	{i=0}
-119645	华尔	69733	21326	1	null
-119646	施朱傅	87771	140403	1	null
-119647	不郎	65849	19981	1	null
-119648	主词	65536	20027	3	{n=0}
-119649	扒犁	65536	25170	3	{n=0}
-119650	拉萨河	85850	170996	2	{ns=1}
-119651	幼林	87216	24188	2	{n=0}
-119652	施朱傅粉	65536	119646	3	{i=0}
-119653	施氏鲟	65536	141649	3	{n=1}
-119654	摄制	84962	25668	2	{v=14, vn=3}
-119655	全段	65536	20840	3	{n=0}
-119656	以身	65963	20197	1	null
-119657	旁切圆	65536	131890	3	{n=0}
-119658	收藏家	65536	175349	3	{n=2}
-119659	恒温炉	65536	126623	3	{n=0}
-119660	光热	65536	20809	3	{n=0}
-119661	弃甲	84024	24323	1	null
-119662	旁压力	65536	132278	3	{n=0}
-119663	撑场	78875	25745	1	null
-119664	旁征博	95326	135340	1	null
-119665	旁听席	65536	132439	3	{n=0}
-119666	品目	65536	21697	3	{n=0}
-119667	旁征博引	65536	119664	3	{i=1}
-119668	惠安	92018	24800	2	{ns=0}
-119669	千手	66993	21315	1	null
-119670	旁敲侧	98688	136861	1	null
-119671	担任	65536	25285	3	{v=107}
-119672	五规	65536	20116	1	null
-119673	吉星	65549	21513	1	null
-119674	掠夺	92569	25504	2	{v=1, vn=0}
-119675	旁敲侧击	65536	119670	3	{i=0}
-119676	旁系亲	96031	142886	1	null
-119677	旁系亲属	65536	119676	3	{l=0}
-119678	内因	65536	20869	3	{n=1}
-119679	宫苑	65536	23467	3	{n=0}
-119680	主语	65536	20027	3	{n=0}
-119681	小吃部	65536	159243	3	{n=0}
-119682	信而	65724	20449	1	null
-119683	冲荡	65536	20914	3	{v=0}
-119684	拉丁美洲	65536	125019	3	{ns=6}
-119685	旁若无	99533	144400	1	null
-119686	五角	65598	20116	1	null
-119687	旁若无人	65536	119685	3	{i=0}
-119688	旁观者	91526	146157	2	{n=0}
-119689	弹簧秤	65536	143939	3	{n=0}
-119690	军售	65536	20891	3	{j=0}
-119691	旁观者清	65536	119688	3	{i=0}
-119692	旁遮普	89228	147865	2	{ns=2}
-119693	旁遮普省	65536	119692	3	{ns=2}
-119694	旁门左	82752	149267	1	null
-119695	广告画	65536	145466	3	{n=0}
-119696	抄录	65536	25220	3	{v=0}
-119697	主课	65536	20027	3	{n=1}
-119698	偏转	65536	20559	3	{nz=0, v=1, vn=1}
-119699	旁门左道	65536	119694	3	{i=1}
-119700	华屋	65536	21326	3	{n=1}
-119701	旅差费	65536	141992	3	{n=0}
-119702	旅顺口	65536	156980	3	{ns=0}
-119703	所属	65536	25152	3	{n=17, v=4, vn=5}
-119704	敝帚	85150	25949	1	null
-119705	忽明	87760	24573	1	null
-119706	旅馆化	65536	157248	3	{v=1, vn=1}
-119707	宛转	65536	23451	3	{a=0, v=0}
-119708	叶红	65550	21494	1	null
-119709	旋光性	65536	122001	3	{n=0}
-119710	主谋	65536	20027	3	{n=4}
-119711	借酒	65557	20511	1	null
-119712	旋木雀	65536	127600	3	{n=0}
-119713	初战	65536	21021	3	{v=4}
-119714	志愿	92084	24535	2	{d=1, n=38, v=0, vd=0, vn=0}
-119715	旋毛虫	65536	128803	3	{n=0}
-119716	周二	65536	21608	3	{t=0}
-119717	旋涡星	99610	129257	1	null
-119718	主谓	65544	20027	2	{b=0}
-119719	抱佛	82582	25265	1	null
-119720	喷射	73184	21943	2	{v=4, vn=0}
-119721	干燥箱	65536	160310	3	{n=0}
-119722	撇嘴	65536	25735	3	{v=0}
-119723	旋涡星云	65536	119717	3	{l=0}
-119724	周五	65536	21608	3	{t=0}
-119725	国际裁	75438	153124	1	null
-119726	养路	65788	20859	2	{v=0, vn=3}
-119727	光焰	65536	20809	3	{n=0}
-119728	旋转乾坤	65536	119731	3	{i=0}
-119729	挥发油	65536	123783	3	{n=0}
-119730	旋风装	65536	140310	3	{n=0}
-119731	旋转乾	97356	137908	1	null
-119732	五言	65537	20116	1	null
-119733	十月	65553	21313	2	{t=9}
-119734	十有	68634	21313	1	null
-119735	尖儿	65536	23574	3	{n=1}
-119736	冰河	65536	20912	3	{n=0}
-119737	旌旗	94433	26060	2	{n=0}
-119738	华山	65536	21326	3	{ns=0}
-119739	尾欠	65536	23614	3	{n=0}
-119740	旌旗招	96106	119737	1	null
-119741	唱腔	65536	21809	3	{n=0}
-119742	宣城	65536	23459	3	{ns=0}
-119743	旌旗招展	65536	119740	3	{i=0}
-119744	居民	86295	23621	2	{n=225}
-119745	广开言	73251	148208	1	null
-119746	旖旎	65536	26070	3	{a=0}
-119747	全民	65673	20840	2	{n=39}
-119748	旗帜鲜	93623	125015	1	null
-119749	旗帜鲜明	65536	119748	3	{i=6}
-119750	内在	65643	20869	2	{a=0, b=35, d=0, f=0, v=0}
-119751	尿血	65536	23615	3	{v=0}
-119752	吉普	65605	21513	2	{n=0, nz=0}
-119753	旗开得	86768	125243	1	null
-119754	传言	65536	20256	3	{n=0, v=0}
-119755	含英	72441	21547	1	null
-119756	旗开得胜	65536	119753	3	{i=0}
-119757	旗袍裙	65536	135880	3	{n=0}
-119758	内地	65550	20869	2	{n=1, s=42}
-119759	旗鼓相	95357	141646	1	null
-119760	旗鼓相当	65536	119759	3	{i=0}
-119761	抖搂	65536	25238	3	{v=0}
-119762	愚拙	65536	24858	3	{a=0}
-119763	印次	65536	21360	3	{n=0}
-119764	族人	65536	26063	3	{n=0}
-119765	无上光	86131	171857	1	null
-119766	无上光荣	65536	119765	3	{l=0}
-119767	冬虫	65762	20908	1	null
-119768	无与伦	92167	171861	1	null
-119769	印欧	65662	21360	2	{j=0}
-119770	和尚	71592	21644	2	{n=5}
-119771	无与伦比	65536	119768	3	{i=0}
-119772	摸底	65536	25720	3	{v=7, vn=1}
-119773	无中生	93400	171892	1	null
-119774	不配	65536	19981	3	{a=1, ad=0}
-119775	副线	66402	21103	1	null
-119776	循环	91527	24490	2	{v=6, vd=2, vn=22}
-119777	无中生有	65536	119773	3	{i=1}
-119778	无为而	91944	171905	1	null
-119779	无为而治	65536	119778	3	{i=0}
-119780	哈桑	73338	21704	1	null
-119781	妙策	65536	22937	3	{n=0}
-119782	光照	66147	20809	2	{n=2}
-119783	恳求	65536	24691	3	{v=0, vd=0}
-119784	当头炮	65536	153092	3	{n=0}
-119785	无事生非	65536	125236	3	{i=0}
-119786	无产者	65536	172014	3	{n=0}
-119787	无产阶级	98521	125467	2	{n=30}
-119788	宣传科	65536	117520	3	{n=1}
-119789	尖兵	65536	23574	3	{n=4}
-119790	无事忙	65536	171986	3	{l=0}
-119791	无产阶级化	65536	119787	3	{n=0, v=1}
-119792	无人过问	65536	135294	3	{l=2}
-119793	无人区	65536	172033	3	{n=1}
-119794	无人问津	65536	136869	3	{i=4}
-119795	指甲心	95578	160343	1	null
-119796	无仁无	99758	172040	1	null
-119797	扣帽	91542	25187	1	null
-119798	幼株	65536	24188	3	{n=0}
-119799	无仁无义	65536	119796	3	{l=0}
-119800	无从下	94641	172053	1	null
-119801	叶绿	72608	21494	1	null
-119802	厚薄	65595	21402	2	{n=0}
-119803	周代	65536	21608	3	{t=0}
-119804	无从下手	65536	119800	3	{l=0}
-119805	无以为继	65536	119830	3	{i=0}
-119806	假装	65536	20551	3	{v=0}
-119807	余钱	65536	20313	3	{n=0}
-119808	和局	65536	21644	3	{n=0}
-119809	恒压	90769	24658	1	null
-119810	偏远	65536	20559	3	{a=14, an=1}
-119811	扳手	65536	25203	3	{n=0}
-119812	无以复加	65536	122601	3	{i=0}
-119813	在天	76815	22312	1	null
-119814	无以言状	65536	135132	3	{i=1}
-119815	审定	65536	23457	3	{v=9, vn=3}
-119816	所有权	78643	122434	2	{n=18}
-119817	寸草	86436	23544	1	null
-119818	无价之	96366	172094	1	null
-119819	无价之宝	65536	119818	3	{i=0}
-119820	无伤大	99514	172139	1	null
-119821	无伤大体	65536	119820	3	{i=0}
-119822	季节风	65536	116153	3	{n=0}
-119823	无依无	81074	172260	1	null
-119824	旅行包	65536	152838	3	{n=0}
-119825	工具箱	65536	149959	3	{n=0}
-119826	无依无靠	65536	119823	3	{i=2}
-119827	方向感	65536	162385	3	{n=0}
-119828	无假货	65536	172430	3	{v=0}
-119829	搬运工	65536	133361	3	{n=0}
-119830	无以为	87318	172076	1	null
-119831	无偿献	84953	172486	1	null
-119832	必备	65536	24517	3	{b=1, v=1, vn=3}
-119833	无偿献血	87067	119831	1	null
-119834	借重	65536	20511	3	{v=3}
-119835	数字化	65536	149960	3	{v=6, vn=9}
-119836	帮套	65536	24110	3	{n=0}
-119837	冷气	65795	20919	2	{n=0}
-119838	寓舍	65536	23507	3	{n=0}
-119839	备播	65536	22791	3	{v=0}
-119840	无偿献血者	65536	119833	3	{n=2}
-119841	倒行	65536	20498	1	null
-119842	常务董	88841	140346	1	null
-119843	心有余而	90675	111821	1	null
-119844	无党派	99691	172705	1	null
-119845	无党派人	97085	119844	1	null
-119846	妙算	65536	22937	3	{n=0}
-119847	救生员	65536	150172	3	{n=0}
-119848	无党派人士	65536	119845	3	{l=10, n=0}
-119849	无公害	65536	172723	3	{b=7, v=0}
-119850	太师	74067	22826	2	{n=0}
-119851	无关大	96237	172730	1	null
-119852	扮成	65536	25198	3	{v=0}
-119853	无关大局	65536	119851	3	{i=1}
-119854	库图	89461	24211	1	null
-119855	怡然	79260	24609	2	{z=1}
-119856	兵荒	65554	20853	1	null
-119857	慷慨激	87859	113962	1	null
-119858	巡逻舰	65536	127683	3	{n=0}
-119859	无关宏旨	65536	120467	3	{i=1}
-119860	工商税	65536	150934	3	{n=0}
-119861	无关痛痒	65536	127199	3	{i=0}
-119862	无关紧要	65536	129067	3	{l=2}
-119863	冰洲	65541	20912	1	null
-119864	才华绝	94373	130171	1	null
-119865	恭桶	65536	24685	3	{n=0}
-119866	新机号	65536	177782	3	{nz=0}
-119867	无冤无	99701	172779	1	null
-119868	无冤无仇	65536	119867	3	{l=0}
-119869	冷水	65639	20919	2	{n=2}
-119870	无凭无	94417	172852	1	null
-119871	无凭无据	65536	119870	3	{l=0}
-119872	无则加	98687	172896	1	null
-119873	婉转	65536	23113	3	{a=2, ad=0, an=0}
-119874	数以十	98547	146774	1	null
-119875	寿桃	65536	23551	3	{n=0}
-119876	数以千	82785	146774	1	null
-119877	尊老	80731	23562	2	{v=0}
-119878	体表	65536	20307	3	{n=0}
-119879	敦刻	94885	25958	1	null
-119880	无则加勉	65536	119872	3	{i=0}
-119881	巡逻艇	65536	127683	3	{n=0}
-119882	无利可	97617	172912	1	null
-119883	安全玻	74965	147108	1	null
-119884	审察	65536	23457	3	{v=0}
-119885	减色	65558	20943	2	{v=0}
-119886	屡试	87707	23649	1	null
-119887	无利可图	65536	119882	3	{l=0}
-119888	无力回	97064	173026	1	null
-119889	无力回天	65536	119888	3	{l=1}
-119890	无功受	88783	173030	1	null
-119891	无功受禄	65536	119890	3	{i=0}
-119892	无功负荷	65536	134554	3	{l=0}
-119893	挖掘	90055	25366	2	{v=13, vn=5}
-119894	惹是	83601	24825	1	null
-119895	援助	95059	25588	2	{v=25, vn=51}
-119896	无动于	84963	173039	1	null
-119897	担保	95663	25285	2	{v=4, vn=16}
-119898	无动于衷	65536	119896	3	{i=1}
-119899	持家	65536	25345	3	{v=0}
-119900	无助于	65536	173040	3	{v=3}
-119901	无原则	65536	173286	3	{v=0}
-119902	导火	74499	23548	1	null
-119903	无可争议	65536	120119	3	{l=2}
-119904	冷汗	65536	20919	3	{n=2}
-119905	无可厚非	65536	121416	3	{i=1}
-119906	幸甚	65536	24184	3	{a=0}
-119907	无可奈何	65536	122870	3	{i=3}
-119908	无可奉告	65536	122871	3	{l=0}
-119909	掀开	65536	25472	3	{v=3}
-119910	戊子	65536	25098	3	{m=0}
-119911	无可指责	65536	125365	3	{l=0}
-119912	少年老	82058	131751	1	null
-119913	无可挽回	65536	125419	3	{i=0}
-119914	无可比拟	65536	127618	3	{i=1}
-119915	己未	65536	24049	3	{m=0}
-119916	内城	65536	20869	3	{s=0}
-119917	放映室	65536	166696	3	{n=0}
-119918	无可置疑	65536	132636	3	{i=0}
-119919	无可讳言	65536	135777	3	{i=0}
-119920	斐然	65536	26000	3	{z=5}
-119921	无可非议	65536	138764	3	{i=4}
-119922	无名之辈	65536	120081	3	{n=0}
-119923	婉辞	65536	23113	3	{v=0}
-119924	取景	65850	21462	2	{v=0}
-119925	无名小卒	65536	123605	3	{i=0}
-119926	前三	67121	21069	1	null
-119927	塔拉	67846	22612	1	null
-119928	尖刀	74784	23574	2	{n=3}
-119929	加固	65536	21152	3	{v=3, vn=8}
-119930	前不	68598	21069	1	null
-119931	无名肿毒	65536	132997	3	{l=0}
-119932	无名英雄	65536	133559	3	{n=2}
-119933	如坐针	74391	136709	1	null
-119934	户口本	65536	122190	3	{n=0}
-119935	保育	65676	20445	2	{b=0, v=0}
-119936	无土栽	97416	174182	1	null
-119937	无土栽培	65536	119936	3	{l=2}
-119938	无地自	96459	174199	1	null
-119939	前世	65536	21069	3	{t=0}
-119940	无地自容	65536	119938	3	{i=1}
-119941	无坐力	91096	174231	1	null
-119942	无坐力炮	65536	119941	3	{l=0}
-119943	卷笔	70231	21367	1	null
-119944	旋转体	65536	137908	3	{n=0}
-119945	奸笑	65536	22904	3	{v=0}
-119946	无坚不	94248	174241	1	null
-119947	书账	65536	20070	3	{n=9}
-119948	播发	65536	25773	3	{v=0}
-119949	冰消	65540	20912	1	null
-119950	尽头	65536	23613	3	{f=1}
-119951	无坚不摧	65536	119946	3	{i=0}
-119952	无声手枪	65536	119960	3	{n=0}
-119953	无声无息	65536	120877	3	{i=0}
-119954	无处不	97644	174667	1	null
-119955	已经	65536	24050	3	{d=459}
-119956	无处不在	65536	119954	3	{l=1}
-119957	太平	80448	22826	2	{a=2, ns=1, nz=0}
-119958	扁率	65536	25153	3	{n=0}
-119959	慢动	93575	24930	1	null
-119960	无声手	93414	174647	1	null
-119961	以远	65536	20197	3	{f=1}
-119962	倒装	65536	20498	3	{v=0}
-119963	取暖	70425	21462	2	{v=6, vn=3}
-119964	无大无	96398	174702	1	null
-119965	无大无小	65536	119964	3	{l=0}
-119966	无失业	99814	174712	1	null
-119967	体裁	65536	20307	3	{n=4}
-119968	无失业人	98378	119966	1	null
-119969	尖利	65536	23574	3	{a=0}
-119970	无失业人员	65536	119968	3	{b=0}
-119971	无头告示	65536	119975	3	{l=0}
-119972	摊主	65536	25674	3	{n=5}
-119973	无奇不	93599	174734	1	null
-119974	掉包	65536	25481	3	{v=0}
-119975	无头告	88937	174715	1	null
-119976	无奇不有	65536	119973	3	{i=2}
-119977	敦劝	65536	25958	3	{v=0}
-119978	无奈何	65536	174735	3	{l=0}
-119979	壮烈	65536	22766	3	{a=3, ad=2, an=1}
-119980	座无	75519	24231	1	null
-119981	抖擞	83370	25238	2	{v=0, vn=0}
-119982	无妄之	91188	174795	1	null
-119983	尾气	65536	23614	3	{n=1}
-119984	摸彩	65536	25720	3	{v=0}
-119985	尼龙绳	65536	130642	3	{n=0}
-119986	无妄之灾	65536	119982	3	{l=0}
-119987	尖刻	65536	23574	3	{a=0}
-119988	无孔不	99152	175259	1	null
-119989	无孔不入	65536	119988	3	{i=1}
-119990	开门见	86621	177583	1	null
-119991	无定形	89093	175329	1	null
-119992	无定形碳	65536	119991	3	{l=0}
-119993	无害化	65536	175354	3	{v=0, vd=0, vn=3}
-119994	希思	76267	24076	1	null
-119995	太庙	65536	22826	3	{n=0}
-119996	无家可	95598	175357	1	null
-119997	以退	66246	20197	1	null
-119998	拍卖师	65536	128541	3	{n=1}
-119999	公差	65536	20844	3	{n=0}
-120000	无家可归	87230	119996	2	{i=8}
-120001	借鉴	65536	20511	3	{v=37, vn=8}
-120002	交还	65536	20132	3	{v=2}
-120003	无家可归者	65536	120000	3	{n=4}
-120004	军器	65536	20891	3	{n=0}
-120005	卷筒	65536	21367	3	{n=0}
-120006	意兴阑	83984	131186	1	null
-120007	无容身	99965	175360	1	null
-120008	无容身之	97690	120007	1	null
-120009	摆摊子	65536	140729	3	{v=0}
-120010	无容身之地	65536	120008	3	{b=1, n=0}
-120011	文件夹	65536	166982	3	{n=0}
-120012	冰淇	65536	20912	1	null
-120013	无尽无	99773	175492	1	null
-120014	无尽无休	65536	120013	3	{l=0}
-120015	无底洞	65536	176092	3	{n=1}
-120016	无座力	91171	176110	1	null
-120017	无座力炮	65536	120016	3	{n=0}
-120018	冷泉	65536	20919	3	{n=0}
-120019	无庸置疑	65536	120026	3	{l=0}
-120020	公布	65537	20844	2	{v=109, vn=6}
-120021	无庸讳言	65536	123167	3	{l=1}
-120022	威武	83044	23041	2	{a=5}
-120023	搬家	65536	25644	3	{v=0, vn=1}
-120024	拚搏	65536	25306	3	{v=0}
-120025	太康	79521	22826	1	null
-120026	无庸置	89922	176127	1	null
-120027	戊寅	65536	25098	3	{m=0, t=4}
-120028	尽如	87306	23613	1	null
-120029	无庸赘述	65536	123588	3	{l=0}
-120030	摸得	87082	25720	1	null
-120031	无异于	65536	176201	3	{v=1}
-120032	导热	81919	23548	2	{v=0}
-120033	无形中	65536	176297	3	{d=5}
-120034	无形损耗	65536	125459	3	{l=0}
-120035	录像片	65536	111118	3	{n=0}
-120036	十样	65538	21313	1	null
-120037	无影无踪	65536	120038	3	{i=1}
-120038	无影无	83643	176312	1	null
-120039	带入	65536	24102	3	{v=14}
-120040	无往不	99011	176327	1	null
-120041	无微不	86775	176373	1	null
-120042	无微不至	65536	120041	3	{i=2}
-120043	劳累	65536	21171	3	{a=2, ad=1, an=2}
-120044	无往不利	65536	120040	3	{i=0}
-120045	参演	65536	21442	3	{v=0}
-120046	无心插	93437	176394	1	null
-120047	墓表	65536	22675	3	{n=0}
-120048	无心插柳	93440	120046	1	null
-120049	吉林	69208	21513	2	{nr=0, ns=20}
-120050	内塔	65636	20869	1	null
-120051	无心插柳柳	94954	120048	1	null
-120052	宣传站	65536	117520	3	{n=1}
-120053	以逸	65571	20197	1	null
-120054	墨斗	65550	22696	2	{n=0}
-120055	带兵	88760	24102	2	{v=6, vn=0}
-120056	前事	68655	21069	1	null
-120057	政府奖	65536	156137	3	{n=1}
-120058	无心插柳柳成	86418	120051	1	null
-120059	启运	65536	21551	3	{v=1}
-120060	拙工	65536	25305	3	{n=0}
-120061	无心插柳柳成荫	65536	120058	3	{i=0}
-120062	无忧无	85678	176430	1	null
-120063	无忧无虑	65536	120062	3	{i=1}
-120064	无性杂	99937	176494	1	null
-120065	所有格	65536	122434	3	{n=0}
-120066	情报源	65536	148258	3	{n=0}
-120067	兵营	65536	20853	3	{n=0}
-120068	交通	66328	20132	2	{n=261, vn=0}
-120069	无性杂交	65536	120064	3	{l=0}
-120070	摄取	65536	25668	3	{v=2, vn=1}
-120071	无性生殖	65536	123613	3	{l=0}
-120072	前些	65770	21069	1	null
-120073	无怨无	95352	176495	1	null
-120074	冰清	65553	20912	1	null
-120075	备料	76556	22791	2	{v=0, vn=1}
-120076	无怨无悔	65536	120073	3	{l=7}
-120077	无息贷	92625	176566	1	null
-120078	刀螂	65536	20992	3	{n=0}
-120079	无息贷款	65536	120077	3	{n=6}
-120080	入狱	65536	20837	3	{v=1}
-120081	无名之	83178	173396	1	null
-120082	拓殖	65536	25299	3	{nz=2}
-120083	无恶不	99768	176573	1	null
-120084	无恶不作	65536	120083	3	{i=0}
-120085	启迪	65536	21551	3	{v=5, vn=9}
-120086	弥留	65536	24357	3	{v=0, vn=0}
-120087	悔棋	65536	24724	3	{v=0}
-120088	无悔无	95473	176603	1	null
-120089	无悔无怨	65536	120088	3	{l=0}
-120090	无情无	100054	176652	1	null
-120091	利禄	65536	21033	3	{n=2}
-120092	副翼	65536	21103	3	{n=0}
-120093	会见	65536	20250	3	{v=275, vn=19}
-120094	捻度	65536	25467	3	{n=0}
-120095	无情无义	65536	120090	3	{i=0}
-120096	中行	65536	20013	3	{j=10}
-120097	影视界	65536	136533	3	{n=1}
-120098	敦化	65536	25958	3	{ns=0}
-120099	无意识	65536	176726	3	{d=0}
-120100	停车	67059	20572	2	{v=17, vn=2}
-120101	宇宙飞	71209	105515	1	null
-120102	利福	65750	21033	1	null
-120103	前人	65624	21069	2	{n=13}
-120104	无愧于	65536	176750	3	{v=8}
-120105	山里红	65536	166803	3	{n=0}
-120106	无懈可	99124	176911	1	null
-120107	初探	65536	21021	3	{n=0}
-120108	文武全材	65536	118823	3	{l=0}
-120109	尔虞	82113	23572	1	null
-120110	华工	65536	21326	3	{n=0}
-120111	无懈可击	65536	120106	3	{i=0}
-120112	损害	65536	25439	3	{n=0, v=37, vn=19}
-120113	斥力	65536	26021	3	{n=0}
-120114	无房户	65536	177030	3	{n=7}
-120115	前仆	67124	21069	1	null
-120116	无所事事	65536	120435	3	{i=2}
-120117	无所作为	65536	120644	3	{i=7}
-120118	无所用心	65536	130320	3	{i=0}
-120119	无可争	84145	173366	1	null
-120120	搓洗	65536	25619	3	{v=0}
-120121	假言	65536	20551	3	{n=0}
-120122	元语	65545	20803	1	null
-120123	妄言	65536	22916	3	{n=0, v=0}
-120124	中表	65536	20013	3	{n=0}
-120125	交道	65634	20132	2	{n=1}
-120126	军团	65536	20891	3	{n=1}
-120127	无所畏忌	65536	130359	3	{i=0}
-120128	八行	67514	20843	1	null
-120129	无所适从	65536	137194	3	{i=1}
-120130	动武	65536	21160	3	{v=16, vn=0}
-120131	公干	65536	20844	3	{n=0}
-120132	公平	67491	20844	2	{a=35, ad=6, an=3, n=0, ns=0}
-120133	无所顾忌	65536	139366	3	{i=2}
-120134	无拘无	93675	177183	1	null
-120135	径直	65536	24452	3	{d=2}
-120136	承包户	65536	139036	3	{n=0}
-120137	扫兴	65536	25195	3	{a=0}
-120138	无拘无束	65536	120134	3	{i=1}
-120139	无政府	100114	177798	2	{l=0}
-120140	找出	78777	25214	1	null
-120141	无政府主	100101	120139	1	null
-120142	无政府主义	65536	120141	3	{n=1}
-120143	推销性	65536	171878	3	{n=1}
-120144	墨旱	65540	22696	1	null
-120145	无日无	97334	177964	1	null
-120146	无日无夜	65536	120145	3	{l=0}
-120147	无时无	99097	177981	1	null
-120148	无时无刻	65536	120147	3	{i=0}
-120149	取材	65536	21462	3	{v=3, vn=0}
-120150	害人虫	65536	105945	3	{n=1}
-120151	市场管	78940	137730	1	null
-120152	元谋	65537	20803	1	null
-120153	军国	67828	20891	1	null
-120154	只要	65536	21482	3	{c=146, d=0, v=0}
-120155	处决	65536	22788	3	{v=0}
-120156	娇气	65536	23047	3	{a=1, n=0}
-120157	前仰	67125	21069	1	null
-120158	无明火	65536	178005	3	{n=0}
-120159	抽象思	83199	159359	1	null
-120160	无期徒	99152	178278	1	null
-120161	无期徒刑	65536	120160	3	{l=2}
-120162	无本万	99130	178291	1	null
-120163	无本万利	65536	120162	3	{l=1}
-120164	思潮起	92270	137928	1	null
-120165	无机化学	65536	120173	3	{l=0}
-120166	五讲	65552	20116	1	null
-120167	无机肥料	65536	131836	3	{l=0}
-120168	前任	65536	21069	3	{b=2, n=0}
-120169	抽象性	65536	159359	3	{n=0}
-120170	忠厚	79424	24544	2	{a=0, an=0}
-120171	印油	65536	21360	3	{n=0}
-120172	副职	65536	21103	3	{n=6}
-120173	无机化	96767	178305	1	null
-120174	无条件	65536	178344	3	{b=0, d=8}
-120175	无柄叶	65536	178443	3	{n=0}
-120176	无核武	98057	178559	1	null
-120177	无核武器	65536	120176	3	{b=0}
-120178	无棣县	65536	178730	3	{ns=1}
-120179	无毒品	65536	179481	3	{n=0}
-120180	无污染	65536	179624	3	{v=0}
-120181	无法无	97358	179740	1	null
-120182	工作制	65536	149420	3	{n=2}
-120183	无法无天	65536	120181	3	{i=0}
-120184	以邻	66247	20197	1	null
-120185	传讯	65536	20256	3	{v=0, vn=0}
-120186	传记	65543	20256	2	{n=29}
-120187	女中音	65536	139344	3	{n=0}
-120188	无济于	100082	179861	1	null
-120189	无济于事	65536	120188	3	{i=3}
-120190	慈母	65536	24904	3	{n=2}
-120191	人祸	65536	20154	3	{n=0}
-120192	无烟工业	65536	120197	3	{n=0}
-120193	无烟火药	65536	124939	3	{n=0}
-120194	找到	65536	25214	3	{v=89}
-120195	叶肉	65536	21494	3	{n=0}
-120196	善用	65536	21892	3	{v=0}
-120197	无烟工	100198	180774	1	null
-120198	新生儿	65536	181339	3	{n=2}
-120199	无独有	99603	181299	1	null
-120200	带分	82947	24102	1	null
-120201	无独有偶	65536	120199	3	{i=5}
-120202	害虫	65536	23475	3	{n=2}
-120203	夹克	66147	22841	2	{n=0}
-120204	因由	65536	22240	3	{n=0}
-120205	无理函数	65536	120214	3	{l=0}
-120206	屠苏	65536	23648	3	{n=1}
-120207	忠县	65536	24544	3	{ns=0}
-120208	摘发	65536	25688	3	{v=0}
-120209	无理取闹	65536	120687	3	{i=0}
-120210	无理方程	65536	125266	3	{l=0}
-120211	善男	74640	21892	1	null
-120212	化粪	65538	21270	1	null
-120213	摘取	65536	25688	3	{v=10}
-120214	无理函	94237	181581	1	null
-120215	印泥	65536	21360	3	{n=0}
-120216	吐鲁	65598	21520	1	null
-120217	中装	65536	20013	3	{n=0}
-120218	只见	66130	21482	2	{v=26}
-120219	无用武之	97901	126563	1	null
-120220	无用功	65536	181871	3	{n=0}
-120221	无用武之地	65536	120219	3	{i=0}
-120222	含蓄	65536	21547	3	{a=0, an=0}
-120223	惟有	65536	24799	3	{v=1}
-120224	无病呻	98691	182028	1	null
-120225	新生党	65536	181339	3	{n=1}
-120226	无病呻吟	65536	120224	3	{i=0}
-120227	无的放	97402	182219	1	null
-120228	慧眼	84506	24935	2	{n=0}
-120229	利税	65536	21033	3	{n=41}
-120230	敦厚	65536	25958	3	{a=0}
-120231	传话	65536	20256	3	{v=0, vn=1}
-120232	无神论	65536	182949	3	{n=0}
-120233	塞浦	65575	22622	1	null
-120234	冷涡	65536	20919	3	{n=0}
-120235	无的放失	65536	120227	3	{i=0}
-120236	峡谷	65536	23777	3	{n=1}
-120237	无私奉献	65536	120272	3	{i=14}
-120238	处分	65536	22788	3	{n=6, v=6, vn=2}
-120239	引人瞩	79991	143369	1	null
-120240	无私无畏	65536	123495	3	{i=3}
-120241	无私有弊	65536	123792	3	{i=0}
-120242	带到	65536	24102	3	{v=1}
-120243	无稽之	84397	183172	1	null
-120244	内外	67797	20869	2	{f=31, s=0}
-120245	无稽之谈	65536	120243	3	{i=0}
-120246	摊位	65536	25674	3	{n=17}
-120247	夹具	65536	22841	3	{n=0}
-120248	持久战	65536	116458	3	{n=5}
-120249	处刑	65536	22788	3	{v=0}
-120250	完毕	65536	23436	3	{v=12}
-120251	无穷无尽	65536	123540	3	{i=0}
-120252	带刺	65536	24102	3	{v=0}
-120253	华年	65536	21326	3	{n=1}
-120254	传说	65536	20256	3	{n=22, v=2, vn=0}
-120255	传诵	65536	20256	3	{v=0}
-120256	无米之	91447	183738	1	null
-120257	无米之炊	65536	120256	3	{i=3}
-120258	太行山麓	65536	100962	3	{ns=0}
-120259	无籽西	90344	183748	1	null
-120260	无籽西瓜	65536	120259	3	{n=1}
-120261	安全电	83407	147108	1	null
-120262	无粮户	65536	183797	3	{n=1}
-120263	抱养	65536	25265	3	{v=1}
-120264	华广	65536	21326	3	{nz=14}
-120265	惠州	65536	24800	3	{ns=0}
-120266	无精打	82948	183813	1	null
-120267	无精打采	65536	120266	3	{i=0}
-120268	平方米	65536	157979	3	{n=2, q=106}
-120269	无线电	98787	184326	2	{n=4}
-120270	无绳电话	93848	123871	1	null
-120271	冬衣	65536	20908	3	{n=1}
-120272	无私奉	90751	183048	1	null
-120273	公开	67242	20844	2	{a=30, ad=44, an=2, v=26, vd=0, vn=3}
-120274	无绳电话机	65536	120270	3	{n=12}
-120275	无线电台	65536	120269	3	{l=0}
-120276	人种	65573	20154	2	{n=0}
-120277	墨晶	65536	22696	3	{n=0}
-120278	无绳话机	65536	129671	3	{n=3}
-120279	无缘无	94355	184415	1	null
-120280	无缘无故	65536	120279	3	{i=0}
-120281	只言	65635	21482	1	null
-120282	无缝钢	88638	184420	1	null
-120283	无穷大	65536	183230	3	{n=0}
-120284	尾流	65536	23614	3	{n=3}
-120285	加塞	67931	21152	2	{v=0}
-120286	副肾	65536	21103	3	{n=0}
-120287	无缝钢管	65536	120282	3	{l=0, n=0}
-120288	公式	66339	20844	2	{n=5}
-120289	全港	65536	20840	3	{n=3}
-120290	投票站	65536	157166	3	{n=1}
-120291	无羁无	93831	184520	1	null
-120292	无绳机	65536	184378	3	{n=1}
-120293	华府	65536	21326	3	{n=2}
-120294	无羁无束	65536	120291	3	{i=0}
-120295	无翼鸟	65536	184643	3	{n=0}
-120296	无耻之	96717	184706	1	null
-120297	扩建	65536	25193	3	{v=23, vn=5}
-120298	冷淡	65536	20919	3	{a=6, v=0, vn=0}
-120299	五谷	66150	20116	2	{n=1}
-120300	无聊者	65536	184721	3	{n=1}
-120301	忠贞不渝	65536	112217	3	{i=0}
-120302	挤奶	90077	25380	1	null
-120303	救济型	65536	148171	3	{b=0}
-120304	动气	65536	21160	3	{v=0}
-120305	无耻之尤	65536	120296	3	{i=0}
-120306	无能为	99167	184900	1	null
-120307	偏重	65536	20559	3	{v=1, vd=0}
-120308	宿敌	65536	23487	3	{n=0}
-120309	无所不	100399	177031	1	null
-120310	国家计	73412	138133	1	null
-120311	人称	65536	20154	3	{n=5, v=0}
-120312	前例	65536	21069	3	{n=0}
-120313	婚恋	65536	23130	3	{n=0}
-120314	无能为力	65536	120306	3	{i=1}
-120315	无花果	65536	185336	3	{n=0}
-120316	偷闲	65536	20599	3	{vd=0}
-120317	无规律	65536	187147	3	{b=1}
-120318	无触点	65536	187181	3	{b=0}
-120319	无言以	96775	187207	1	null
-120320	无言以对	65536	120319	3	{l=0}
-120321	抛开	65536	25243	3	{v=1}
-120322	军垦	65536	20891	3	{j=0, n=1}
-120323	叶脉	65536	21494	3	{n=0}
-120324	抛弃	65536	25243	3	{v=11, vn=2}
-120325	无计可施	65536	120806	3	{i=1}
-120326	座机	65536	24231	3	{n=0}
-120327	无记名	65536	187639	3	{b=2, d=4}
-120328	县直	65536	21439	3	{j=3, n=0, vn=0}
-120329	无计划	65536	187624	3	{b=1}
-120330	无论如何	65536	120332	3	{l=9}
-120331	无话可	84509	187684	1	null
-120332	无论如	100021	187649	1	null
-120333	慢吞	92358	24930	1	null
-120334	冷清	65548	20919	2	{a=0, an=1}
-120335	扩张	92533	25193	2	{v=40, vn=27}
-120336	慈江	76884	24904	1	null
-120337	无话可说	65536	120331	3	{l=0}
-120338	垂线	65536	22402	3	{n=0}
-120339	无足轻	83015	188154	1	null
-120340	无足轻重	65536	120339	3	{i=0}
-120341	帮子	65536	24110	3	{n=0}
-120342	内奸	65536	20869	3	{n=0}
-120343	无轨电	83634	188591	1	null
-120344	无轨电车	65536	120343	3	{l=0}
-120345	无边无	81878	188672	1	null
-120346	忠告	65536	24544	3	{n=2, v=0, vn=0}
-120347	无边无际	65536	120345	3	{i=1}
-120348	急诊科	65536	161067	3	{n=3}
-120349	无限公司	65536	120357	3	{l=0}
-120350	感应炉	65536	143291	3	{n=0}
-120351	无锡县	65536	190056	3	{ns=1}
-120352	放空炮	65536	171906	3	{l=0}
-120353	无限花序	65536	132970	3	{l=0}
-120354	入球	65536	20837	3	{n=0}
-120355	无隙可	100303	190432	1	null
-120356	巴西联	71513	158174	1	null
-120357	无限公	98853	190359	1	null
-120358	归集额	65536	153950	3	{n=1}
-120359	无隙可乘	65536	120355	3	{i=1}
-120360	低血	65555	20302	1	null
-120361	岩羊	65536	23721	3	{n=0}
-120362	带动	87769	24102	2	{v=85, vn=12}
-120363	坦陈	65536	22374	3	{v=1}
-120364	无霜期	65536	190563	3	{t=1}
-120365	无题诗	65536	190943	3	{n=0}
-120366	光环	65536	20809	3	{n=3}
-120367	措施	65536	25514	3	{n=428, vn=1}
-120368	既往不	98730	121678	1	null
-120369	冬装	65536	20908	3	{n=1}
-120370	待业青	87030	121661	1	null
-120371	和平	74983	21644	2	{a=58, ad=17, an=4, n=372, nr=2, ns=0, nz=4}
-120372	带劲	65536	24102	3	{a=0}
-120373	成年期	65536	159942	3	{t=0}
-120374	寻机	65536	23547	3	{v=0}
-120375	交配	65536	20132	3	{v=0, vn=0}
-120376	既往不咎	65536	120368	3	{i=0}
-120377	既得利	89968	121701	1	null
-120378	既得利益	65536	120377	3	{n=0}
-120379	夹击	65536	22841	3	{v=1, vn=0}
-120380	取样	65536	21462	3	{v=0, vn=1}
-120381	既有线	65536	123607	3	{j=0, n=0}
-120382	宅门	65536	23429	3	{n=0}
-120383	既来之	65536	123699	3	{i=0}
-120384	挪开	65536	25386	3	{v=0}
-120385	既然如	92895	126212	1	null
-120386	戒坛	75701	25106	1	null
-120387	既然如此	65536	120385	3	{c=1}
-120388	咖啡馆	65536	94507	3	{n=1}
-120389	叶腋	65536	21494	3	{n=0}
-120390	日上三	88905	165983	1	null
-120391	愧疚	65536	24871	3	{a=0, ad=0, an=1}
-120392	日上三竿	65536	120390	3	{i=0}
-120393	日不暇	87931	165986	1	null
-120394	从长	65538	20174	1	null
-120395	扔掉	65536	25172	3	{v=0}
-120396	忙活	65536	24537	3	{n=0, v=3}
-120397	大家鼠	65536	151888	3	{n=0}
-120398	撼天	96573	25788	1	null
-120399	制种	65536	21046	3	{v=1, vn=1}
-120400	文史哲	65536	168258	3	{j=2}
-120401	品种	65536	21697	3	{n=104}
-120402	断层山	65536	153322	3	{n=0}
-120403	中西	65826	20013	2	{j=9}
-120404	日不暇给	65536	120393	3	{i=0}
-120405	余震	65536	20313	3	{n=13}
-120406	日久天	82136	166042	1	null
-120407	日久天长	65536	120406	3	{i=0}
-120408	日产量	65536	166140	3	{n=7}
-120409	日以继	97599	166202	1	null
-120410	无所畏惧	65536	130359	3	{i=1}
-120411	日以继夜	65536	120409	3	{i=0}
-120412	前俯	67129	21069	1	null
-120413	日偏食	65536	166564	3	{n=0}
-120414	工程署	65536	160347	3	{n=0}
-120415	冷湖	65536	20919	3	{ns=0}
-120416	捷径	65536	25463	3	{n=1}
-120417	日光浴	65536	166814	3	{n=0}
-120418	奴隶	81624	22900	2	{n=3}
-120419	尖叫	65536	23574	3	{v=1, vn=0}
-120420	打哈欠	65536	167649	3	{v=0}
-120421	或然	89625	25110	1	null
-120422	带勤	79343	24102	1	null
-120423	录用	65536	24405	3	{v=4, vn=2}
-120424	日入而	95739	166842	1	null
-120425	无所不为	65536	120309	3	{i=0}
-120426	日入而息	65536	120424	3	{l=1}
-120427	日全食	65536	166845	3	{n=1}
-120428	日内瓦	65536	166874	3	{ns=8}
-120429	日冕仪	65536	166890	3	{n=0}
-120430	日出而	100115	166991	1	null
-120431	日出而作	65536	120430	3	{i=1}
-120432	数九寒天	65536	118514	3	{i=1}
-120433	日利率	65536	167038	3	{n=3}
-120434	日升昌	65536	167324	3	{nz=1}
-120435	无所事	100009	177031	1	null
-120436	日历表	65536	167387	3	{n=0}
-120437	日喀则	96373	167893	2	{ns=6}
-120438	挖方	65536	25366	3	{n=0}
-120439	日喀则市	65536	120437	3	{ns=0}
-120440	堂而	67366	22530	1	null
-120441	日复一	94357	168802	1	null
-120442	日复一日	65536	120441	3	{i=4}
-120443	日夜兼	89203	168817	1	null
-120444	捕杀	65536	25429	3	{v=0, vn=0}
-120445	恋歌	65536	24651	3	{n=0}
-120446	日夜兼程	65536	120443	3	{l=3}
-120447	日射病	65536	169561	3	{n=0}
-120448	周全	65536	21608	3	{a=2}
-120449	日就月	96897	169606	1	null
-120450	寄生	76713	23492	2	{v=0, vn=3}
-120451	华强	65536	21326	3	{nz=0}
-120452	克郎	65548	20811	1	null
-120453	周六	65536	21608	3	{t=3}
-120454	念旧	65536	24565	3	{a=0}
-120455	日就月将	65536	120449	3	{i=0}
-120456	公德	65536	20844	3	{n=3}
-120457	日常生活	98047	120463	1	null
-120458	日常生活型	65536	120457	3	{n=1}
-120459	嫌隙	65536	23244	3	{n=0}
-120460	凶险	65536	20982	3	{a=0, an=0}
-120461	日常用语	65536	120472	3	{n=0}
-120462	怨气	65536	24616	3	{n=0}
-120463	日常生	92494	170125	1	null
-120464	日报社	65536	171258	3	{n=2}
-120465	升级	65539	21319	2	{v=12, vn=18}
-120466	在家	65536	22312	3	{v=19, vd=0}
-120467	无关宏	93771	172730	1	null
-120468	公心	65536	20844	3	{n=0}
-120469	工作单	65536	149420	3	{n=0}
-120470	孝行	65536	23389	3	{nr=0}
-120471	日新月	96152	172037	1	null
-120472	日常用	84640	170125	1	null
-120473	寻枝	80808	23547	1	null
-120474	日新月异	65536	120471	3	{i=15}
-120475	宝中	85406	23453	1	null
-120476	巧夺	85470	24039	1	null
-120477	崩裂	65536	23849	3	{v=1}
-120478	宝丰	84013	23453	2	{nr=1, nz=0}
-120479	日日夜	97668	172090	1	null
-120480	日日夜夜	65536	120479	3	{i=5}
-120481	日晒雨	92375	172199	1	null
-120482	日晒雨淋	65536	120481	3	{i=1}
-120483	恨死	65536	24680	3	{v=0}
-120484	保苗	65536	20445	3	{v=0}
-120485	劳绩	65536	21171	3	{n=0}
-120486	加大	65536	21152	3	{v=225, vn=1}
-120487	日暮途	89137	172291	1	null
-120488	日暮途穷	65536	120487	3	{i=0}
-120489	日月如	93697	172381	1	null
-120490	夹剪	65536	22841	3	{n=0}
-120491	必定	65536	24517	3	{d=12}
-120492	夙诺	65536	22809	3	{n=0}
-120493	孝衣	65536	23389	3	{n=0}
-120494	日月如梭	65536	120489	3	{i=1}
-120495	日月星辰	65536	123718	3	{n=1}
-120496	日月经天	65536	130038	3	{i=0}
-120497	日本国	65536	172417	3	{ns=0}
-120498	华彩	65536	21326	3	{a=0, n=0}
-120499	哈欠	65536	21704	3	{n=0}
-120500	弄清	65536	24324	3	{v=7}
-120501	日杂品	65536	172439	3	{n=0}
-120502	据守	65536	25454	3	{v=0}
-120503	日环食	65536	175620	3	{n=0}
-120504	宅院	65536	23429	3	{n=1}
-120505	日理万	94082	175707	1	null
-120506	投票箱	65536	157166	3	{n=0}
-120507	冷溲	65536	20919	1	null
-120508	日理万机	65536	120505	3	{i=0}
-120509	升结	65545	21319	1	null
-120510	日甚一	94426	175983	1	null
-120511	日甚一日	65536	120510	3	{i=0}
-120512	日用品	65536	175997	3	{n=7}
-120513	忍辱负	74779	129942	1	null
-120514	日用百货	65536	129149	3	{n=0}
-120515	日界线	65536	176033	3	{n=0}
-120516	携家	93292	25658	1	null
-120517	冰激	67061	20912	1	null
-120518	八角	67445	20843	2	{n=1, ns=0}
-120519	作罢	65536	20316	3	{v=2}
-120520	憎称	65536	24974	3	{n=0}
-120521	日积月	88475	177220	1	null
-120522	日积月累	65536	120521	3	{i=3}
-120523	日照县	65536	175036	3	{ns=3}
-120524	据实	65536	25454	3	{d=0}
-120525	日程表	65536	177248	3	{n=3}
-120526	千斤	65564	21315	2	{q=0}
-120527	日线图	65536	178452	3	{n=0}
-120528	所得	83168	25152	2	{n=16, v=0}
-120529	日经指	94562	178468	1	null
-120530	日经指数	65536	120529	3	{n=3}
-120531	座标	65536	24231	3	{n=0}
-120532	日臻完	98641	179280	1	null
-120533	日臻完善	65536	120532	3	{i=2}
-120534	日臻成熟	65536	122200	3	{l=1}
-120535	救生圈	65536	150172	3	{n=0}
-120536	日落而	95850	179858	1	null
-120537	日落而息	65536	120536	3	{i=0}
-120538	日薄西	96874	180185	1	null
-120539	日薄西山	65536	120538	3	{i=1}
-120540	日行千	83217	180897	1	null
-120541	日行千里	65536	120540	3	{i=0}
-120542	敲丧	80527	25970	1	null
-120543	日记本	65536	181765	3	{n=1}
-120544	抄报	65536	25220	3	{v=0}
-120545	日进斗	83219	182832	1	null
-120546	新生力	82141	181339	1	null
-120547	千方	65571	21315	1	null
-120548	日进斗金	65536	120545	3	{i=1}
-120549	日需求	83225	184661	1	null
-120550	和弦	65536	21644	3	{n=1}
-120551	威海	81678	23041	2	{ns=1}
-120552	日需求量	65536	120549	3	{n=2}
-120553	巧妇	65536	24039	3	{n=6}
-120554	日高峰	65536	185645	3	{n=1}
-120555	旦夕存亡	65536	120558	3	{i=0}
-120556	徒劳无益	65536	111294	3	{i=0}
-120557	旦夕	97174	26086	2	{t=1}
-120558	旦夕存	100426	120557	1	null
-120559	归根结蒂	65536	122278	3	{i=0}
-120560	旦夕祸福	65536	128270	3	{l=0}
-120561	旧体诗	65536	152271	3	{n=0}
-120562	怯生	82737	24623	1	null
-120563	旧地重	92348	154284	1	null
-120564	旧地重游	65536	120563	3	{i=0}
-120565	旧城区	65536	154442	3	{n=2}
-120566	旧框框	65536	158658	3	{n=0}
-120567	假设	65536	20551	3	{n=0, v=1, vn=0}
-120568	旧石器	65536	162671	3	{n=0}
-120569	县知	71254	21439	1	null
-120570	假证	65536	20551	3	{n=0}
-120571	巧妙	65536	24039	3	{a=6, ad=0}
-120572	制空	65847	21046	1	null
-120573	会计	65614	20250	2	{n=38}
-120574	助记	65544	21161	1	null
-120575	开拓者	65536	164506	3	{n=2}
-120576	旧社会	65536	163002	3	{n=1}
-120577	容电	83745	23481	1	null
-120578	旧调重	96203	167807	1	null
-120579	察觉	65536	23519	3	{v=2, vn=1}
-120580	旧调重弹	65536	120578	3	{i=0}
-120581	旧金山	92298	169293	2	{ns=5}
-120582	叶舌	65536	21494	3	{n=0}
-120583	主轴	65536	20027	3	{n=2}
-120584	旧金山湾	65536	120581	3	{n=0}
-120585	戊巳	65536	25098	3	{m=0}
-120586	会议	65569	20250	2	{n=830}
-120587	奥胜	65536	22885	3	{nz=0}
-120588	旧雨重	83691	170596	1	null
-120589	旧雨重逢	65536	120588	3	{l=0}
-120590	手足无	89041	174261	1	null
-120591	千日	65754	21315	1	null
-120592	早产儿	65536	151276	3	{n=0}
-120593	延河	82352	24310	2	{ns=0}
-120594	早出晚	96194	152127	1	null
-120595	审度	65536	23457	3	{vn=0}
-120596	早出晚归	65536	120594	3	{i=1}
-120597	寒暑表	65536	143170	3	{n=0}
-120598	假话	65536	20551	3	{n=1}
-120599	必将	65536	24517	3	{d=39}
-120600	持平	65536	25345	3	{v=8, vn=0}
-120601	早早儿	65536	157230	3	{d=0}
-120602	早有所	82211	157518	1	null
-120603	助词	65536	21161	3	{n=0}
-120604	坎诺	67937	22350	1	null
-120605	保荐	65536	20445	3	{vn=0}
-120606	早有所闻	65536	120602	3	{l=0}
-120607	夸里	65536	22840	3	{ns=3}
-120608	愚昧	87634	24858	2	{a=3, an=3}
-120609	凉面	65536	20937	3	{n=0}
-120610	周刊	65536	21608	3	{n=36}
-120611	早期白	84807	157540	1	null
-120612	早期白话	65536	120611	3	{l=0}
-120613	容留	65536	23481	3	{v=0}
-120614	会诊	65536	20250	3	{v=3, vn=1}
-120615	早班车	65536	160818	3	{n=0}
-120616	妄语	65536	22916	3	{n=0}
-120617	冷漠	65536	20919	3	{a=3, an=1}
-120618	政论文	65536	167687	3	{n=0}
-120619	旨在	65536	26088	3	{v=42, vn=0}
-120620	半世	65536	21322	3	{m=0}
-120621	假说	65536	20551	3	{n=1}
-120622	庚申	65536	24218	3	{m=0, t=0}
-120623	早籼稻	65536	163009	3	{n=1}
-120624	工作台	65536	149420	3	{n=2}
-120625	会试	65536	20250	3	{n=0}
-120626	工农红	87259	149996	1	null
-120627	捉弄	65536	25417	3	{v=0, vn=0}
-120628	戏剧界	65536	126501	3	{n=9}
-120629	寻根	75150	23547	2	{v=0, vn=0}
-120630	旬刊	65536	26092	3	{n=1}
-120631	旬阳县	65536	138079	3	{ns=0}
-120632	方面善	84328	179618	1	null
-120633	会话	65546	20250	2	{v=0}
-120634	察言	71069	23519	1	null
-120635	旭日	100642	26093	2	{n=3, nz=1}
-120636	主辩	65536	20027	3	{vn=2}
-120637	局管	86650	23616	1	null
-120638	旭日东	99320	120635	1	null
-120639	旭日东升	65536	120638	3	{l=1}
-120640	参照	65586	21442	2	{v=6, vd=0, vn=1}
-120641	余音	65586	20313	2	{n=0}
-120642	旮旯	65536	26094	3	{n=1}
-120643	余韵	65536	20313	3	{n=0}
-120644	无所作	100091	177031	1	null
-120645	捐建	65536	25424	3	{v=0}
-120646	心醉魂	75112	177017	1	null
-120647	军士	65536	20891	3	{n=0}
-120648	周到	65536	21608	3	{a=3, an=0}
-120649	打工族	65536	169982	3	{n=1}
-120650	凉鞋	65536	20937	3	{n=0}
-120651	旱涝保	94746	142255	1	null
-120652	旱冰场	65536	135106	3	{n=0}
-120653	国际象	69640	153124	1	null
-120654	捐弃	95549	25424	2	{v=0}
-120655	振幅	65536	25391	3	{n=0}
-120656	旱涝保收	65536	120651	3	{l=1}
-120657	岂能	65536	23682	3	{v=2}
-120658	旱秧田	65536	145401	3	{n=0}
-120659	旱育稀	93768	147140	1	null
-120660	旱烟管	65536	143089	3	{n=0}
-120661	旱育稀植	65536	120659	3	{l=2}
-120662	旱魃为	86281	153941	1	null
-120663	备查	65536	22791	3	{v=1}
-120664	危言	65637	21361	1	null
-120665	旱魃为虐	65536	120662	3	{i=0}
-120666	入画	65536	20837	3	{v=0}
-120667	旱鸭子	65536	154687	3	{n=0}
-120668	书迷	65536	20070	3	{n=0}
-120669	塔斯	66741	22612	1	null
-120670	慢性病	65536	123414	3	{n=0}
-120671	卡片	65785	21345	2	{n=3}
-120672	时不再来	65536	120677	3	{i=0}
-120673	擦亮	65536	25830	3	{v=0}
-120674	教学片	65536	161810	3	{n=0}
-120675	军备	65536	20891	3	{n=1}
-120676	会谈	65536	20250	3	{v=95, vn=94}
-120677	时不再	94203	161562	1	null
-120678	慎始而	87905	116803	1	null
-120679	数理学	65536	156279	3	{n=0}
-120680	既定	65536	26082	3	{b=6}
-120681	时不我待	65536	124905	3	{i=1}
-120682	作者	65536	20316	3	{n=92}
-120683	时久天	82413	161618	1	null
-120684	时久天长	65536	120683	3	{l=0}
-120685	时乖运	84263	161635	1	null
-120686	时乖运蹇	65536	120685	3	{i=0}
-120687	无理取	81816	181581	1	null
-120688	时代感	65536	161776	3	{n=2}
-120689	时令病	65536	161777	3	{n=0}
-120690	时刻表	65536	162632	3	{n=4}
-120691	在岗	65536	22312	3	{b=1, v=2, vn=1}
-120692	冰灯	65536	20912	3	{n=3}
-120693	师范学院	65536	109428	3	{n=2}
-120694	倒计	65624	20498	1	null
-120695	吃一	70399	21507	1	null
-120696	时报社	65536	166834	3	{n=1}
-120697	时效处	90996	167509	1	null
-120698	时效处理	65536	120697	3	{l=0}
-120699	时时刻	99649	167683	1	null
-120700	时时刻刻	65536	120699	3	{l=4}
-120701	大红鹰	65536	160828	3	{nz=0}
-120702	时有发	90722	167958	1	null
-120703	初时	65536	21021	3	{t=1}
-120704	处变	78881	22788	1	null
-120705	时有发生	65536	120702	3	{l=7}
-120706	克里	65546	20811	1	null
-120707	军大	65563	20891	1	null
-120708	吃不	72693	21507	1	null
-120709	抽水站	65536	151122	3	{n=0}
-120710	时有时无	65536	125347	3	{l=0}
-120711	排水管	65536	159976	3	{n=0}
-120712	别见	65634	21035	1	null
-120713	从难	66053	20174	1	null
-120714	方块字	65536	163223	3	{n=0}
-120715	拈阄	65536	25288	3	{v=0}
-120716	广播稿	65536	149661	3	{n=0}
-120717	时来运	84003	168050	1	null
-120718	化纤	66306	21270	2	{n=1}
-120719	时来运转	65536	120717	3	{i=0}
-120720	时紧时	94231	173620	1	null
-120721	卡特	67512	21345	1	null
-120722	广告社	65536	145466	3	{n=0}
-120723	席篾	65536	24109	3	{n=0}
-120724	在岸	65536	22312	3	{vn=1}
-120725	时紧时松	65536	120720	3	{l=0}
-120726	时缺时	99630	174151	1	null
-120727	时缺时剩	65536	120726	3	{l=1}
-120728	工作员	65536	149420	3	{n=4}
-120729	不锈	65536	19981	1	null
-120730	假象	65539	20551	2	{n=6}
-120731	时至今	94648	174848	1	null
-120732	掩埋	65536	25513	3	{v=3, vn=0}
-120733	时至今日	65536	120731	3	{l=6}
-120734	时装店	65536	176594	3	{n=2}
-120735	时过境	83940	178388	1	null
-120736	教育处	65536	171358	3	{n=6}
-120737	拱式	65536	25329	3	{b=0}
-120738	屋脊	65536	23627	3	{n=0}
-120739	崭露	85228	23853	1	null
-120740	博茨	65544	21338	1	null
-120741	时过境迁	65536	120735	3	{i=1}
-120742	户主	65536	25143	3	{n=6}
-120743	庸碌	65536	24248	3	{a=0}
-120744	时隐时	91129	180125	1	null
-120745	时隐时现	65536	120744	3	{i=0}
-120746	不错	65536	19981	3	{a=30, v=0}
-120747	体词	65536	20307	3	{n=0}
-120748	时隔不	100715	180129	1	null
-120749	时间差	65536	179969	3	{n=1}
-120750	初春	65536	21021	3	{t=1}
-120751	扩展槽	65536	119620	3	{n=0}
-120752	时隔不久	65536	120748	3	{i=0}
-120753	时风时	82126	180699	1	null
-120754	对外贸	80303	147281	1	null
-120755	前兆	65536	21069	3	{n=1}
-120756	光电	65814	20809	2	{b=1, n=0}
-120757	指导性	65536	153889	3	{n=6}
-120758	时风时雨	65536	120753	3	{l=1}
-120759	叶芽	72102	21494	2	{n=0}
-120760	旷世奇	95596	120831	1	null
-120761	旷世奇才	65536	120760	3	{i=0}
-120762	备案	65536	22791	3	{v=7, vn=3}
-120763	太阳电	73226	134229	1	null
-120764	旷日持	100728	126926	1	null
-120765	旷日持久	65536	120764	3	{i=4}
-120766	冰点	65536	20912	3	{n=1}
-120767	到顶	65536	21040	3	{v=0}
-120768	旺兴头	94322	120780	1	null
-120769	川江	65536	24029	3	{ns=0}
-120770	搓澡	65536	25619	3	{v=0}
-120771	旺兴头村	65536	120768	3	{ns=0}
-120772	旺盛期	65536	130355	3	{n=2}
-120773	昂首挺	87758	134940	1	null
-120774	昂首挺胸	65536	120773	3	{l=3}
-120775	昂首阔步	65536	133791	3	{i=0}
-120776	劳而	65714	21171	1	null
-120777	昆仑山	65536	121101	3	{ns=4}
-120778	号衣	65536	21495	3	{n=0}
-120779	受不	72455	21463	1	null
-120780	旺兴	97932	26106	1	null
-120781	只说	72796	21482	1	null
-120782	昆士兰	96753	123687	2	{ns=2}
-120783	昆士兰州	65536	120782	3	{ns=0}
-120784	昆山市	65536	124589	3	{ns=0}
-120785	座椅	65536	24231	3	{n=0}
-120786	昆虫学	65536	135335	3	{n=0}
-120787	昆明市	65536	127050	3	{ns=6}
-120788	寿比	85214	23551	1	null
-120789	昌平县	65536	123578	3	{ns=1}
-120790	昌黎县	65536	140053	3	{ns=0}
-120791	擦伤	65536	25830	3	{v=0}
-120792	受业	65536	21463	3	{v=1, vn=0}
-120793	抛光机	65536	116810	3	{n=0}
-120794	明争暗	94790	165779	1	null
-120795	挟持	65536	25375	3	{v=2}
-120796	戈比	65536	25096	3	{n=2, q=0}
-120797	明争暗斗	65536	120794	3	{i=0}
-120798	明令禁	93309	165870	1	null
-120799	明令禁止	65536	120798	3	{l=5}
-120800	公意	65536	20844	3	{n=0}
-120801	党规	65536	20826	3	{n=2}
-120802	抹墙	65536	25273	3	{v=0}
-120803	体谅	65536	20307	3	{v=5}
-120804	墨梅	75615	22696	2	{n=0}
-120805	明信片	65536	166123	3	{n=4}
-120806	无计可	94280	187624	1	null
-120807	明公正	83862	166518	1	null
-120808	去路	65536	21435	3	{n=2}
-120809	明公正道	65536	120807	3	{l=0}
-120810	明哲保	84292	167420	1	null
-120811	余额	65536	20313	3	{n=22}
-120812	委员长	65536	106644	3	{n=41}
-120813	旅行团	65536	152838	3	{n=0}
-120814	戒备	65536	25106	3	{v=0, vn=0}
-120815	明哲保身	65536	120810	3	{i=0}
-120816	悍然	93144	24717	2	{d=1}
-120817	明太祖	65536	168500	3	{n=0}
-120818	昂扬	65536	26114	3	{a=2, ad=0, v=4, z=0}
-120819	明媒正	97729	168860	1	null
-120820	拱形	65536	25329	3	{n=2}
-120821	公愤	65536	20844	3	{n=0}
-120822	内存	67084	20869	2	{n=3}
-120823	明媒正娶	65536	120819	3	{i=0}
-120824	明察暗访	65536	120826	3	{i=3}
-120825	忍气	90548	24525	1	null
-120826	明察暗	85049	169193	1	null
-120827	房地产权	65536	114384	3	{n=1}
-120828	明察秋毫	65536	125742	3	{i=0}
-120829	明尼苏达	96802	120835	2	{ns=0}
-120830	教职工	65536	171256	3	{j=0, n=68}
-120831	旷世	97905	26103	1	null
-120832	明尼苏达州	65536	120829	3	{ns=7}
-120833	孤傲	65536	23396	3	{a=0, an=0}
-120834	化缘	65536	21270	3	{v=2}
-120835	明尼苏	84031	169286	1	null
-120836	无计名	65536	187624	3	{j=1}
-120837	明尼阿波	99806	125811	1	null
-120838	吃亏	65536	21507	3	{a=0, v=0}
-120839	明尼阿波利	94811	120837	1	null
-120840	吊孝	65536	21514	3	{v=0}
-120841	拚杀	65536	25306	3	{v=0}
-120842	明尼阿波利斯	65536	120839	3	{ns=0}
-120843	把住	65536	25226	3	{v=0}
-120844	明年初	65536	169854	3	{t=0}
-120845	半价	65536	21322	3	{n=3}
-120846	光疏	65538	20809	1	null
-120847	明摆着	65536	171344	3	{l=0}
-120848	明文规	97399	171665	1	null
-120849	明文规定	65536	120848	3	{l=3}
-120850	明日黄	87399	171759	1	null
-120851	国际货	72403	153124	1	null
-120852	希捷	65536	24076	3	{nz=0}
-120853	创见	65536	21019	3	{n=0}
-120854	光疗	65536	20809	3	{v=0}
-120855	居功自	86924	113230	1	null
-120856	明日黄花	65536	120850	3	{i=0}
-120857	明明白	90525	171800	1	null
-120858	明明白白	65536	120857	3	{z=2}
-120859	明显化	65536	171848	3	{v=1}
-120860	余风	65536	20313	3	{n=0}
-120861	弄潮	89610	24324	1	null
-120862	布雷艇	65536	156239	3	{n=0}
-120863	役畜	65536	24441	3	{n=0}
-120864	居功至	87312	113230	1	null
-120865	急不可耐	65536	112529	3	{i=0}
-120866	奶毛	65536	22902	3	{n=0}
-120867	内宅	65536	20869	3	{n=0}
-120868	明晃晃	65536	171853	3	{z=1}
-120869	搬弄	91219	25644	2	{v=0}
-120870	广播站	65536	149661	3	{n=0}
-120871	尘埃落	83826	110426	1	null
-120872	明智之	100843	171908	1	null
-120873	明智之举	65536	120872	3	{l=5}
-120874	明朗化	65536	172065	3	{vn=0}
-120875	明末清	99855	172085	1	null
-120876	明末清初	65536	120875	3	{t=0}
-120877	无声无	95266	174647	1	null
-120878	明来暗	96433	172143	1	null
-120879	农牧	67969	20892	2	{j=2}
-120880	军委	65536	20891	3	{j=19, n=0}
-120881	明来暗往	65536	120878	3	{i=0}
-120882	执行数	65536	138039	3	{n=0}
-120883	明枪暗	89224	172212	1	null
-120884	披挂	65536	25259	3	{n=0, v=0}
-120885	明枪暗箭	65536	120883	3	{i=0}
-120886	明查暗	85114	172271	1	null
-120887	录相	84540	24405	1	null
-120888	内定	65536	20869	3	{v=1}
-120889	明查暗访	65536	120886	3	{i=0}
-120890	教练席	65536	170863	3	{n=1}
-120891	借问	65536	20511	3	{v=1}
-120892	娇滴	74677	23047	1	null
-120893	明正典	99887	173165	1	null
-120894	奸细	65536	22904	3	{n=0}
-120895	内审	65536	20869	3	{vn=1}
-120896	明正典刑	65536	120893	3	{i=0}
-120897	捧杯	65536	25447	3	{v=0, vn=0}
-120898	内室	65536	20869	3	{n=0}
-120899	明澈澈	65536	174226	3	{z=0}
-120900	明火执	100720	174453	1	null
-120901	变为	65536	21464	3	{v=21}
-120902	收容港	65536	164575	3	{n=4}
-120903	明火执仗	65536	120900	3	{i=0}
-120904	奴颜	78728	22900	1	null
-120905	受事	65536	21463	3	{n=0}
-120906	孤僻	65536	23396	3	{a=0, an=0}
-120907	明灿灿	65536	174473	3	{z=0}
-120908	明王朝	65536	175253	3	{n=2}
-120909	徒然	65536	24466	3	{d=1}
-120910	明珠弹雀	65536	120917	3	{i=0}
-120911	崖葬	65536	23830	3	{n=0}
-120912	昌吉	65536	26124	3	{n=0}
-120913	尘肺	65536	23576	3	{n=0}
-120914	借阅	65536	20511	3	{v=0, vn=1}
-120915	我们	65536	25105	3	{r=2027, v=0}
-120916	明珠投暗	65536	121777	3	{i=1}
-120917	明珠弹	82318	175338	1	null
-120918	明珠暗投	65536	122803	3	{i=0}
-120919	内容	65545	20869	2	{n=284}
-120920	华意	65536	21326	3	{nz=0}
-120921	明白人	65536	176007	3	{n=3}
-120922	无可争辩	65536	120119	3	{l=0}
-120923	慈溪	89766	24904	2	{ns=0}
-120924	内宾	65536	20869	3	{n=0}
-120925	军威	65536	20891	3	{n=3}
-120926	明目张	87961	176120	1	null
-120927	明目张胆	65536	120926	3	{i=2}
-120928	假货	65536	20551	3	{n=2}
-120929	明眸皓	80100	176194	1	null
-120930	内寄	65618	20869	1	null
-120931	明眸皓齿	65536	120929	3	{i=1}
-120932	孔隙	65536	23380	3	{n=0}
-120933	关西	65536	20851	3	{ns=1}
-120934	和悦	65536	21644	3	{a=0}
-120935	明眼人	65536	176198	3	{n=1}
-120936	搜寻	65536	25628	3	{v=7, vn=1}
-120937	心理线	65536	169462	3	{n=1}
-120938	体貌	65536	20307	3	{n=0}
-120939	明知故	91582	176367	1	null
-120940	明石海	97165	176381	1	null
-120941	明知故犯	65536	120939	3	{i=0}
-120942	明石海峡	65536	120940	3	{ns=0}
-120943	明矾石	65536	176392	3	{n=0}
-120944	当家的	65536	153734	3	{n=0}
-120945	捆扎	65536	25414	3	{v=0}
-120946	包涵	65536	21253	3	{v=0}
-120947	明窗净	99990	177057	1	null
-120948	扣押	65536	25187	3	{v=4, vn=3}
-120949	中计	65536	20013	3	{v=0}
-120950	明窗净几	65536	120947	3	{i=0}
-120951	明线光	85065	178121	1	null
-120952	受人	65582	21463	1	null
-120953	兼顾	65536	20860	3	{v=15, vn=1}
-120954	明线光谱	65536	120951	3	{l=0}
-120955	奶水	65536	22902	3	{n=0}
-120956	变乱	65536	21464	3	{n=0}
-120957	明角灯	65536	180956	3	{n=0}
-120958	明辨是	82210	182450	1	null
-120959	不问	65536	19981	3	{c=0, v=0}
-120960	明辨是非	65536	120958	3	{i=1}
-120961	我会	65536	25105	3	{n=4, r=0}
-120962	人类	65575	20154	2	{n=170}
-120963	明镜高	96221	183910	1	null
-120964	前列	65551	21069	2	{n=16, s=0}
-120965	市场经	80674	137730	1	null
-120966	明细表	65536	178128	3	{n=0}
-120967	招待所	65536	147325	3	{n=9}
-120968	库存	89230	24211	2	{n=6, v=0, vn=0}
-120969	明镜高悬	65536	120963	3	{i=0}
-120970	尼科	72234	23612	1	null
-120971	孔雀	79116	23380	2	{n=3}
-120972	不闻	65850	19981	1	null
-120973	凉风	65536	20937	3	{n=0}
-120974	孤儿	79977	23396	2	{n=22}
-120975	冰熊	65536	20912	3	{nz=1}
-120976	数字型	65536	149960	3	{b=0}
-120977	明面儿	65536	184428	3	{n=1}
-120978	昏天黑	98659	132852	1	null
-120979	昏天黑地	65536	120978	3	{i=0}
-120980	凉飕	65556	20937	1	null
-120981	会费	65536	20250	2	{n=22}
-120982	恣肆	85179	24675	2	{v=1}
-120983	昏头昏	87943	132863	1	null
-120984	昏头昏脑	65536	120983	3	{i=0}
-120985	宏病	77632	23439	1	null
-120986	昏头转向	65536	131572	3	{l=0}
-120987	截住	65536	25130	3	{v=1}
-120988	数不胜	92544	146558	1	null
-120989	昏定晨	90525	133477	1	null
-120990	昏定晨省	65536	120989	3	{i=0}
-120991	昏昏悠悠	65536	120998	3	{z=0}
-120992	昏昏欲睡	65536	123704	3	{l=0}
-120993	中词	65536	20013	3	{n=0}
-120994	昏昏沉沉	65536	124047	3	{z=0}
-120995	川流	88120	24029	1	null
-120996	昏昏迷迷	65536	133117	3	{z=0}
-120997	中译	65540	20013	1	null
-120998	昏昏悠	96255	136154	1	null
-120999	昏沉沉	65536	137812	3	{z=0}
-121000	初期	65536	21021	3	{b=1, f=31, n=1, t=0}
-121001	中试	65536	20013	2	{j=0, vn=2}
-121002	帮工	65536	24110	3	{n=0, v=1}
-121003	昏蒙蒙	65536	143972	3	{z=0}
-121004	尖嘴	73057	23574	1	null
-121005	动滑	65559	21160	1	null
-121006	昏迷不	83741	146882	1	null
-121007	昏迷不醒	65536	121006	3	{i=0, l=1}
-121008	挑战性	65536	136825	3	{n=1}
-121009	人粪	65548	20154	1	null
-121010	支持者	65536	155275	3	{n=2}
-121011	卡玛	65536	21345	3	{nz=4}
-121012	易地做	97568	135464	1	null
-121013	必不可缺	65536	111996	3	{i=0}
-121014	军婚	65536	20891	3	{n=0}
-121015	慰问款	65536	131231	3	{n=1}
-121016	易地做官	65536	121012	3	{l=1}
-121017	利索	65536	21033	3	{a=2, ad=0}
-121018	前前	67131	21069	1	null
-121019	易如反	95536	136058	1	null
-121020	易如反掌	65536	121019	3	{i=0}
-121021	半侧	65536	21322	3	{n=1}
-121022	易拉罐	65536	138433	3	{n=3}
-121023	易损性	65536	138583	3	{n=0}
-121024	摄像机	65536	119295	3	{n=3}
-121025	易熔合	83700	142220	1	null
-121026	冷点	65536	20919	3	{n=1}
-121027	无穷小	65536	183230	3	{n=0}
-121028	千枚	65803	21315	1	null
-121029	易熔合金	65536	121025	3	{l=0}
-121030	完满	65536	23436	3	{a=1}
-121031	易燃易爆	65536	125466	3	{l=2}
-121032	易燃品	65536	142267	3	{n=0}
-121033	易燃物品	65536	128624	3	{n=1}
-121034	承包方	65536	139036	3	{n=0}
-121035	易爆物	65536	142334	3	{n=2}
-121036	庄禾	71098	24196	1	null
-121037	揣测	65536	25571	3	{v=1}
-121038	愈演	88772	24840	1	null
-121039	易碎性	65536	144006	3	{n=0}
-121040	哈洽	74397	21704	1	null
-121041	昔日	65536	26132	3	{t=33}
-121042	坚牢	65536	22362	3	{a=0}
-121043	昙花	101078	26137	2	{n=0}
-121044	文不对	79590	166749	1	null
-121045	受众	65536	21463	3	{n=0}
-121046	昙花一	91432	121043	1	null
-121047	幸福	89451	24184	2	{a=66, ad=0, an=14, nz=0}
-121048	昙花一现	65536	121046	3	{i=2}
-121049	星光奖	65536	152286	3	{nz=1}
-121050	星占术	65536	152821	3	{n=0}
-121051	星星之	92273	157620	1	null
-121052	星星之火	65536	121051	3	{n=1}
-121053	星星点点	65536	129865	3	{i=1}
-121054	星期天版	65536	125571	3	{n=1}
-121055	安定门	65536	149718	3	{ns=0}
-121056	星条旗	65536	157942	3	{n=0}
-121057	宿根	65536	23487	3	{n=0}
-121058	受伤	65717	21463	2	{v=22, vn=8}
-121059	星毛虫	65536	159088	3	{n=0}
-121060	工农联	77722	149996	1	null
-121061	居然	65536	23621	3	{d=18}
-121062	操作性	65536	123853	3	{n=3}
-121063	余香	65536	20313	3	{n=0}
-121064	全然	65536	20840	3	{d=5}
-121065	库容	65536	24211	3	{n=0}
-121066	孤军	83175	23396	2	{n=0}
-121067	帮带	65536	24110	3	{v=4, vn=2}
-121068	星河奖	65536	159304	3	{nz=0}
-121069	抚州	65536	25242	3	{ns=0}
-121070	初来	68235	21021	1	null
-121071	星火村	65536	160256	3	{ns=0}
-121072	星火计划	65536	130367	3	{l=2}
-121073	星移斗	95638	162704	1	null
-121074	扳机	65536	25203	3	{n=0}
-121075	帮帮	65536	24110	3	{v=1}
-121076	冷烫	65536	20919	3	{v=0}
-121077	旗人	65536	26071	3	{n=0}
-121078	冷热	65553	20919	2	{n=0}
-121079	半信	68230	21322	1	null
-121080	星移斗换	65536	121073	3	{l=1}
-121081	察访	65536	23519	3	{v=0}
-121082	星系团	65536	163472	3	{n=2}
-121083	周口	70148	21608	2	{ns=0}
-121084	星罗棋	97018	164076	1	null
-121085	星罗棋布	65536	121084	3	{i=4}
-121086	入盟	65536	20837	3	{v=1}
-121087	品类	65536	21697	3	{n=2}
-121088	奶油	68235	22902	2	{n=0}
-121089	映入眼	97003	121093	1	null
-121090	变价	65536	21464	3	{v=1}
-121091	映入眼帘	65536	121089	3	{l=7}
-121092	映山红	65536	123921	3	{n=0}
-121093	映入	90565	26144	2	{v=1}
-121094	体质	65536	20307	3	{n=7}
-121095	春光明	97908	161904	1	null
-121096	教学班	65536	161810	3	{n=2}
-121097	倒贴	65536	20498	3	{v=0}
-121098	尾灯	65536	23614	3	{n=0}
-121099	中谷	65536	20013	3	{nr=0}
-121100	前功	65742	21069	1	null
-121101	昆仑	97112	26118	2	{ns=3}
-121102	春光明媚	65536	121095	3	{i=1}
-121103	春分点	65536	162093	3	{n=0}
-121104	公房	65536	20844	3	{n=27}
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-121106	体贴	65682	20307	2	{v=1, vn=1}
-121107	冷焊	65536	20919	3	{n=0}
-121108	始起	65536	22987	3	{v=1}
-121109	折射角	65536	144088	3	{n=0}
-121110	春华秋	97662	162421	1	null
-121111	加官	65557	21152	1	null
-121112	奔腾	65536	22868	3	{nz=1, v=4}
-121113	冬训	65536	20908	3	{v=7, vn=4}
-121114	含血	72133	21547	1	null
-121115	史记	65536	21490	3	{n=3, nz=2}
-121116	春华秋实	65536	121110	3	{i=1}
-121117	堂花	65536	22530	3	{n=0}
-121118	军嫂	65536	20891	3	{n=11}
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-121120	不随	65547	19981	1	null
-121121	春去秋	94653	162530	1	null
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-121124	春夏秋	100223	163894	1	null
-121125	史论	69409	21490	2	{n=2}
-121126	摄影机	65536	123041	3	{n=4}
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-121128	导电	81922	23548	2	{v=1, vn=0}
-121129	倒赔	65536	20498	3	{v=0}
-121130	打小算	84315	169512	1	null
-121131	春夏秋冬	65536	121124	3	{l=4}
-121132	春大麦	65536	163918	3	{n=0}
-121133	春姑娘	65536	164088	3	{n=1}
-121134	春字头	65536	164478	3	{n=0}
-121135	史评	65536	21490	3	{n=0}
-121136	春寒料	97352	164601	1	null
-121137	偏锋	65536	20559	3	{n=0}
-121138	加害	65536	21152	3	{v=0, vn=0}
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-121140	携带	65536	25658	3	{v=22}
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-121142	引力能	65536	144362	3	{n=0}
-121143	叶落	68503	21494	1	null
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-121146	春意盎	92168	165942	1	null
-121147	出丑	65536	20986	3	{v=0}
-121148	加宽	65536	21152	3	{v=0, vn=1}
-121149	收发室	65536	162551	3	{n=0}
-121150	春意盎然	65536	121146	3	{i=3}
-121151	入眠	65536	20837	3	{v=0}
-121152	出世	67795	20986	2	{v=5, vn=0}
-121153	拉下脸	65536	157143	3	{l=0}
-121154	史诗	68274	21490	2	{n=6}
-121155	取款	71215	21462	2	{v=2, vn=0}
-121156	库尔	88573	24211	1	null
-121157	加密	65536	21152	3	{v=2, vn=4}
-121158	春暖花	96839	167357	1	null
-121159	春暖花开	65536	121158	3	{i=2}
-121160	史话	65536	21490	3	{n=0}
-121161	归根究	86636	142033	1	null
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-121164	冰片	65536	20912	3	{n=0}
-121165	敷衍塞	82518	127575	1	null
-121166	春江花	94801	168838	1	null
-121167	不难	65536	19981	3	{ad=0, d=9}
-121168	慢坡	65536	24930	3	{n=0}
-121169	妖言	77400	22934	2	{n=0}
-121170	干干脆	76039	155331	1	null
-121171	太平鼓	65536	119957	3	{n=0}
-121172	恬淡	65536	24684	3	{a=1}
-121173	呼盟	65536	21628	3	{j=1}
-121174	共青	65556	20849	2	{j=1, nz=0}
-121175	光盘	65707	20809	2	{n=72}
-121176	恢宏率	88078	113549	1	null
-121177	春江花月	98374	121166	1	null
-121178	尖团	68341	23574	1	null
-121179	入眼	65536	20837	3	{a=0}
-121180	日光灯	65536	166814	3	{n=0}
-121181	传输	65609	20256	2	{v=4, vn=11}
-121182	扫描术	65536	124836	3	{n=1}
-121183	无耻之徒	65536	120296	3	{n=0}
-121184	主重	65539	20027	1	null
-121185	挥发物	65536	123783	3	{n=0}
-121186	春江花月夜	65536	121177	3	{n=1, nz=0}
-121187	挽幛	65536	25405	3	{n=0}
-121188	春熙路	65536	170176	3	{ns=0}
-121189	家常话	65536	147274	3	{n=1}
-121190	春秋鼎盛	65536	126988	3	{i=0}
-121191	微电脑	65536	148983	3	{n=2}
-121192	升腾	65536	21319	3	{v=2, vn=0}
-121193	春秋衫	65536	172274	3	{n=0}
-121194	春耕大	96658	173884	1	null
-121195	春耕大忙	65536	121194	3	{l=1}
-121196	春色满	98946	174489	1	null
-121197	五边	65537	20116	1	null
-121198	投资方	65536	162250	3	{n=1}
-121199	春色满园	65536	121196	3	{i=1}
-121200	墙角	65536	22681	3	{n=4}
-121201	抄收	65536	25220	3	{v=0}
-121202	半停	69418	21322	1	null
-121203	宫装	65536	23467	3	{n=0}
-121204	春花作	91918	174552	1	null
-121205	剪除	65536	21098	3	{v=0}
-121206	公报	65558	20844	2	{n=17}
-121207	春花作物	65536	121204	3	{l=0}
-121208	出乎	65582	20986	2	{v=5}
-121209	卫生衣	65536	104874	3	{n=0}
-121210	春蕾班	65536	175269	3	{n=1}
-121211	存世	65536	23384	3	{v=0}
-121212	春运办	65536	177911	3	{j=0}
-121213	春风一度	65536	121329	3	{i=0}
-121214	春风化雨	65536	122631	3	{i=3}
-121215	品系	65536	21697	3	{n=1}
-121216	入睡	65536	20837	3	{v=3}
-121217	捷报	77680	25463	2	{n=6}
-121218	抚平	65536	25242	3	{v=0}
-121219	在座	65536	22312	3	{v=14, vn=1}
-121220	政策性	65536	163491	3	{n=20}
-121221	春风吹又	91239	122922	1	null
-121222	春风吹又生	65536	121221	3	{i=0}
-121223	春风得意	65536	125832	3	{i=0}
-121224	传达	65570	20256	2	{v=15, vn=1}
-121225	春风满面	65536	129746	3	{i=0}
-121226	春风顺意	65536	140395	3	{i=1}
-121227	昧心	65536	26151	3	{b=0}
-121228	昨儿个	65536	121255	3	{t=0}
-121229	昭然若	95651	128757	1	null
-121230	吉水	71837	21513	1	null
-121231	化肥	65536	21270	3	{n=21}
-121232	昭然若揭	65536	121229	3	{i=0}
-121233	昭通市	65536	136665	3	{ns=0}
-121234	五连	65549	20116	1	null
-121235	加尔	67227	21152	1	null
-121236	履行	65536	23653	3	{v=63, vn=0}
-121237	是不是	65536	122709	3	{v=2}
-121238	公担	65536	20844	3	{q=0}
-121239	是个儿	65536	122738	3	{l=0}
-121240	是味儿	65536	124347	3	{l=0}
-121241	是因为	65536	124968	3	{c=0}
-121242	映出	65536	26144	3	{v=0}
-121243	出乱	65919	20986	1	null
-121244	保藏	65536	20445	3	{v=0}
-121245	是是非	82498	128887	1	null
-121246	岸线	65536	23736	3	{n=0}
-121247	塔柱	65536	22612	3	{n=4}
-121248	是是非非	65536	121245	3	{i=0}
-121249	是样儿	65536	129407	3	{l=0}
-121250	文字改	79971	170151	1	null
-121251	偷香	65548	20599	1	null
-121252	情有独	75279	149382	1	null
-121253	是非曲	90804	141478	1	null
-121254	小商贩	65536	159566	3	{n=2}
-121255	昨儿	101218	26152	1	null
-121256	是非曲直	65536	121253	3	{i=2}
-121257	影业	65536	24433	3	{j=1, n=2}
-121258	报告文	92118	157799	1	null
-121259	是非颠倒	65536	133971	3	{i=0}
-121260	挨家	91146	25384	1	null
-121261	昼伏夜	100277	121296	1	null
-121262	床笫	89687	24202	1	null
-121263	昼伏夜出	65536	121261	3	{l=0}
-121264	显山露	93570	134564	1	null
-121265	掠影	65536	25504	3	{n=0, v=0}
-121266	扼杀	65536	25212	3	{v=0, vn=0}
-121267	军字	66417	20891	1	null
-121268	显像液	65536	131586	3	{n=0}
-121269	出事	65536	20986	3	{v=1, vn=2}
-121270	显山露水	65536	121264	3	{i=0}
-121271	前半	66549	21069	1	null
-121272	出于	65536	20986	3	{v=27}
-121273	弯腰	65536	24367	3	{v=3, vn=0}
-121274	新大洲	65536	174179	3	{nz=0}
-121275	审慎	65536	23457	3	{a=4, ad=1, an=0}
-121276	显微镜	65536	135393	3	{n=0}
-121277	以销	65557	20197	1	null
-121278	平地风	81293	154258	1	null
-121279	摸摸	85578	25720	2	{v=2}
-121280	初样	65536	21021	3	{n=0}
-121281	显而易	86019	143679	1	null
-121282	太阳眼	65632	134229	1	null
-121283	不露	65537	19981	1	null
-121284	显而易见	65536	121281	3	{i=8}
-121285	显示器	65536	141933	3	{n=5}
-121286	吃偏	65541	21507	1	null
-121287	显花植	91999	144356	1	null
-121288	显花植物	65536	121287	3	{l=0}
-121289	显赫一	95193	147102	1	null
-121290	无形化	65536	176297	3	{v=0, vn=2}
-121291	传送	65579	20256	2	{v=7, vn=2}
-121292	客家话	65536	131393	3	{nz=0}
-121293	挑毛病	65536	139324	3	{l=1}
-121294	宣州	81618	23459	2	{n=0}
-121295	显赫一时	65536	121289	3	{i=0}
-121296	昼伏	98449	26172	1	null
-121297	出产	65536	20986	3	{n=0, v=2}
-121298	刀豆	65536	20992	3	{n=0}
-121299	因祸	71720	22240	1	null
-121300	晃动	65536	26179	3	{v=2, vn=0}
-121301	低语	65536	20302	3	{v=0, vn=0}
-121302	在建	65536	22312	3	{v=11, vn=0}
-121303	晋东南	65536	138183	3	{ns=4}
-121304	前卫	65536	21069	3	{j=0, n=1, ns=0, nz=0}
-121305	太平龙	78123	119957	1	null
-121306	奥莫	65536	22885	3	{nz=4}
-121307	拿腔拿	80436	138896	1	null
-121308	传递	65536	20256	3	{v=15, vn=4}
-121309	晋侯墓	65536	138586	3	{n=0}
-121310	党证	65536	20826	3	{n=0}
-121311	拥戴	65536	25317	3	{v=4, vn=2}
-121312	显影剂	65536	135332	3	{n=0}
-121313	晋冀豫	65536	139051	3	{j=2}
-121314	晋冀鲁豫	65536	125431	3	{j=1}
-121315	命赴	65539	21629	1	null
-121316	出人	66485	20986	1	null
-121317	晋园杯	65536	140440	3	{nz=0}
-121318	时间性	65536	179969	3	{n=0}
-121319	晋城市	65536	140665	3	{ns=9}
-121320	接收机	65536	159694	3	{n=2}
-121321	斩头	97567	26025	1	null
-121322	晋宁县	65536	141612	3	{ns=0}
-121323	低调	65536	20302	3	{n=2}
-121324	晋安区	65536	141620	3	{ns=0}
-121325	座次	65536	24231	3	{n=0}
-121326	宴请	65536	23476	3	{v=10, vn=4}
-121327	晋察冀	65536	141706	3	{j=14}
-121328	晋材楚	91343	144635	1	null
-121329	春风一	96983	180213	1	null
-121330	前厅	65536	21069	3	{s=1}
-121331	宣布	65536	23459	3	{v=241, vn=5}
-121332	军官	65536	20891	3	{n=16}
-121333	交锋	65536	20132	3	{v=1, vn=2}
-121334	定时钟	65536	148697	3	{n=0}
-121335	晋材楚用	65536	121328	3	{i=0}
-121336	晋江市	65536	145930	3	{ns=0}
-121337	全片	65536	20840	3	{n=0}
-121338	卫生裤	65536	104874	3	{n=0}
-121339	把儿	65536	25226	3	{n=0}
-121340	晏家	83136	26191	1	null
-121341	化脓	65536	21270	3	{v=0}
-121342	卡瓦	65539	21345	1	null
-121343	军宣	65544	20891	1	null
-121344	把兄	90849	25226	1	null
-121345	哀歌	65536	21696	3	{n=0}
-121346	教育学	94909	171358	2	{n=1}
-121347	交错	65536	20132	3	{v=1, vd=0, vn=1}
-121348	垂花	65873	22402	1	null
-121349	晌午	65536	26188	3	{t=0}
-121350	存亡	76972	23384	2	{n=0, v=1}
-121351	晏家镇	65536	121340	3	{ns=2}
-121352	晒太阳	65536	123101	3	{v=4}
-121353	晒图员	65536	122545	3	{n=0}
-121354	晓之以	91653	121460	1	null
-121355	晓之以理	65536	121354	3	{i=0}
-121356	晓行夜	97871	136309	1	null
-121357	寂静	65536	23490	3	{a=6, an=0}
-121358	晓行夜宿	65536	121356	3	{i=0}
-121359	出以	67274	20986	1	null
-121360	晕乎乎	65536	121458	3	{z=0}
-121361	晕头晕脑	65536	121364	3	{l=0}
-121362	创设	65536	21019	3	{v=0}
-121363	抚弄	65536	25242	3	{v=0}
-121364	晕头晕	88320	124248	1	null
-121365	军容	65536	20891	3	{n=0}
-121366	晕头转向	65536	131883	3	{i=0}
-121367	传遍	65536	20256	3	{v=2}
-121368	中资	65718	20013	2	{j=1, n=0}
-121369	晕晕乎乎	65536	121370	3	{z=0}
-121370	晕晕乎	101323	127609	1	null
-121371	党课	65536	20826	3	{n=1}
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-121374	寻欢	86187	23547	1	null
-121375	低谷	65536	20302	3	{n=3}
-121376	晖映	65536	26198	3	{v=0}
-121377	出价	65536	20986	3	{v=2, vn=0}
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-121380	吉泊	66829	21513	1	null
-121381	出任	65536	20986	3	{v=22, vn=0}
-121382	晚生代	65536	150312	3	{n=1}
-121383	指挥官	65536	155722	3	{n=1}
-121384	前去	65536	21069	3	{v=0}
-121385	官僚资	78842	138811	1	null
-121386	晚疫病	65536	150452	3	{n=0}
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-121388	晚秋作	92100	151508	1	null
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-121390	兴绿	66266	20852	1	null
-121391	把关	65536	25226	3	{v=3, vn=1}
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-121396	晨钟暮	80674	138875	1	null
-121397	晨钟暮鼓	65536	121396	3	{i=0}
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-121405	普兰店	97341	146823	2	{ns=1}
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-121414	普列谢茨	100616	123710	1	null
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-121424	晦暗	65536	26214	3	{z=0}
-121425	攻击性	65536	132001	3	{n=1}
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-121433	半元	65545	21322	1	null
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-121440	带回	65536	24102	3	{v=0}
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-121444	普希金	65536	150051	3	{nr=0}
-121445	普拉亚	65536	151264	3	{n=0}
-121446	普拉霍瓦	100010	139992	1	null
-121447	寺里	65536	23546	3	{s=2}
-121448	普及型	65536	147425	3	{b=4}
-121449	普拉霍瓦县	65536	121446	3	{ns=0}
-121450	弗纶	65536	24343	3	{a=1}
-121451	普普通	84563	152197	1	null
-121452	希族	65536	24076	3	{nz=0}
-121453	普普通通	65536	121451	3	{z=3}
-121454	宝刀	85480	23453	2	{n=1}
-121455	普林斯	82417	152494	1	null
-121456	普林斯顿	65536	121455	3	{ns=2}
-121457	普沃茨	100650	153754	1	null
-121458	晕乎	101314	26197	1	null
-121459	嫡长	79861	23265	1	null
-121460	晓之	101157	26195	1	null
-121461	普沃茨克	90997	121457	1	null
-121462	普沃茨克省	65536	121461	3	{ns=0}
-121463	寻死	71238	23547	2	{v=0}
-121464	普洛耶	101309	153906	1	null
-121465	公推	65536	20844	3	{v=0}
-121466	工商联	65536	150934	3	{j=29}
-121467	前后	65572	21069	2	{f=32, m=0}
-121468	批准权	65536	127234	3	{n=1}
-121469	普洛耶什	87548	121464	1	null
-121470	普洛耶什蒂	97405	121469	1	null
-121471	普洛耶什蒂市	65536	121470	3	{ns=0}
-121472	厚谊	65536	21402	3	{n=0}
-121473	普洱茶	65536	153928	3	{n=0}
-121474	半公	66169	21322	1	null
-121475	普渡众	91494	154168	1	null
-121476	只身	72813	21482	2	{d=4}
-121477	普渡众生	65536	121475	3	{l=0}
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-121479	普罗夫	84638	158574	1	null
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-121481	普罗夫迪夫	97419	121480	1	null
-121482	改过迁	96049	164940	1	null
-121483	截儿	65536	25130	3	{q=1}
-121484	作茧	65544	20316	1	null
-121485	普罗夫迪夫市	65536	121481	3	{ns=0}
-121486	普罗比登	65536	126256	3	{ns=0}
-121487	府第	65536	24220	3	{n=0}
-121488	普者黑	65536	158748	3	{ns=20}
-121489	普莱克	95459	159688	1	null
-121490	普莱克斯	65536	121489	3	{nz=0}
-121491	幸运者	65536	126744	3	{n=2}
-121492	普选权	65536	162848	3	{n=0}
-121493	披散	65536	25259	3	{v=0}
-121494	普通店村	65536	125633	3	{ns=0}
-121495	尔诈	82117	23572	1	null
-121496	巩膜	65536	24041	3	{n=0}
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-121498	元配	65536	20803	3	{n=0}
-121499	普里什	87579	163299	1	null
-121500	塞牙	65536	22622	3	{v=0}
-121501	普里什蒂	89072	121499	1	null
-121502	帮忙	65536	24110	3	{v=6, vn=0}
-121503	在心	65536	22312	3	{v=0}
-121504	形影相	89516	134715	1	null
-121505	拨付	65536	25320	3	{v=3, vn=1}
-121506	劳苦	67661	21171	2	{a=1}
-121507	普里什蒂纳	65536	121501	3	{ns=0}
-121508	孤单	82174	23396	2	{a=0, an=0}
-121509	普遍化	65536	162916	3	{vn=1}
-121510	普陀区	65536	164439	3	{ns=0}
-121511	普雷夫	96225	164622	1	null
-121512	必得	65536	24517	3	{d=0}
-121513	出使	65536	20986	3	{v=1}
-121514	普雷夫拉	100171	121511	1	null
-121515	想当然	65536	127610	3	{l=0}
-121516	普雷夫拉卡	65536	121514	3	{ns=2}
-121517	挫折	91675	25387	2	{n=4, v=2, vn=3}
-121518	普鲁卡	99279	166040	1	null
-121519	普鲁卡因	65536	121518	3	{n=0}
-121520	景德镇	97455	139148	2	{ns=6}
-121521	景德镇市	65536	121520	3	{ns=0}
-121522	敲击	65536	25970	3	{v=4}
-121523	景泰蓝	65536	142533	3	{n=1}
-121524	景颇族	65536	153692	3	{nz=4}
-121525	屏蔽	65536	23631	3	{n=0, v=0}
-121526	晴到多	101416	121531	1	null
-121527	景阳冈	65536	153096	3	{ns=0}
-121528	抛掷	65536	25243	3	{v=1}
-121529	晴到多云	65536	121526	3	{l=16}
-121530	军属	65536	20891	3	{j=0, n=21}
-121531	晴到	98716	26228	1	null
-121532	威煌	65536	23041	3	{nz=0}
-121533	晴到少云	65536	122285	3	{l=3}
-121534	恶性肿	82826	141724	1	null
-121535	宝剑	65536	23453	3	{n=0}
-121536	吃光	65536	21507	3	{v=2}
-121537	我党	65536	25105	3	{n=35}
-121538	晴天霹	82901	123316	1	null
-121539	中路	65538	20013	2	{n=3, nz=0}
-121540	援外	65536	25588	3	{v=0, vn=5}
-121541	切记	65536	20999	3	{v=1}
-121542	摄影棚	65536	123041	3	{n=0}
-121543	新文学	65536	177347	3	{n=0}
-121544	晴天霹雳	65536	121538	3	{i=0}
-121545	半决	65556	21322	1	null
-121546	感应电	85776	143291	1	null
-121547	军屯	65718	20891	1	null
-121548	尖塔	65536	23574	3	{n=3}
-121549	晴朗朗	65536	126882	3	{z=0}
-121550	晴空万	84230	131845	1	null
-121551	拥挤	96161	25317	2	{a=5, an=2, v=1, vn=2}
-121552	处在	65536	22788	3	{v=40, vn=0}
-121553	吊带	65536	21514	3	{n=0}
-121554	晴空万里	65536	121550	3	{l=1}
-121555	晶体学	65536	121774	3	{n=0}
-121556	晴雨伞	65536	139123	3	{n=0}
-121557	掉头	65536	25481	3	{v=1}
-121558	晶体点阵	65536	127014	3	{l=0}
-121559	晶状体	65536	130833	3	{n=6}
-121560	晶莹剔	84682	135188	1	null
-121561	晶莹剔透	65536	121560	3	{i=3}
-121562	屈膝	83102	23624	2	{v=0}
-121563	智利共	99922	132148	1	null
-121564	教育局	65536	171358	3	{n=9}
-121565	拱手	65536	25329	3	{v=0, vd=1}
-121566	智利共和	99299	121563	1	null
-121567	切诊	65536	20999	3	{v=0}
-121568	智利共和国	65536	121566	3	{ns=0}
-121569	拒捕	65536	25298	3	{v=0}
-121570	各业	65536	21508	3	{r=2}
-121571	八路	66694	20843	2	{j=0, n=0}
-121572	普通人	65536	162865	3	{n=15}
-121573	借题	65838	20511	1	null
-121574	审批	65536	23457	3	{v=13, vn=8}
-121575	年过花	79444	165538	1	null
-121576	智力库	65536	132262	3	{n=0}
-121577	前呼	67133	21069	1	null
-121578	报名表	65536	157738	3	{n=0}
-121579	智勇双	100740	132306	1	null
-121580	智勇双全	65536	121579	3	{i=0}
-121581	智囊团	65536	133333	3	{n=0}
-121582	智圆行	95547	133393	1	null
-121583	以防	66302	20197	2	{v=4}
-121584	农用	65672	20892	2	{b=5}
-121585	教育展	65536	171358	3	{n=2}
-121586	各个	72011	21508	2	{r=118}
-121587	内幕	65536	20869	3	{n=2}
-121588	智圆行方	65536	121582	3	{i=0}
-121589	智多星	65536	133925	3	{n=0}
-121590	智者见	95359	143888	1	null
-121591	哀求	65536	21696	3	{v=1, vn=0}
-121592	农田	65547	20892	2	{n=17}
-121593	智者见智	65536	121590	3	{i=0}
-121594	征兵站	65536	135750	3	{n=0}
-121595	智能化	65536	144136	3	{v=2, vn=1}
-121596	暂住证	65536	123623	3	{n=1}
-121597	农电	65799	20892	2	{j=4}
-121598	撷拾	65536	25783	3	{v=1}
-121599	暂存处	65536	126704	3	{n=1}
-121600	教唆罪	65536	160178	3	{n=0}
-121601	捡拾	65536	25441	3	{v=0}
-121602	我军	65536	25105	3	{n=61}
-121603	晾台	65536	26238	3	{n=0}
-121604	暂时性	65536	129422	3	{n=4}
-121605	扫地	93975	25195	2	{v=3}
-121606	暌违	65536	26252	3	{v=2}
-121607	暖乎乎	65536	131105	3	{z=0}
-121608	冰球	65706	20912	2	{n=18}
-121609	晶亮	65536	26230	3	{a=1}
-121610	斋戒	92840	25995	2	{v=0}
-121611	弗罗	85240	24343	1	null
-121612	不须	65536	19981	3	{v=0}
-121613	暖暖和和	65536	121616	3	{ad=2, z=5}
-121614	暑假	65536	26257	3	{t=6}
-121615	不顾	65864	19981	2	{v=37}
-121616	暖暖和	99969	137321	1	null
-121617	暖水瓶	65536	138759	3	{n=0}
-121618	暖洋洋	65536	138974	3	{z=0}
-121619	序盘	65536	24207	3	{n=1}
-121620	暖气团	65536	138727	3	{n=1}
-121621	不预	65541	19981	1	null
-121622	暖湿气	93654	139346	1	null
-121623	暖湿气流	65536	121622	3	{n=19}
-121624	暖烘烘	65536	139947	3	{z=2}
-121625	低贱	65536	20302	3	{a=1}
-121626	搅拌机	65536	122626	3	{n=1}
-121627	借风	66488	20511	1	null
-121628	暖煦煦	65536	140089	3	{z=0}
-121629	尽心	83849	23613	2	{a=1, ad=0, v=1}
-121630	光碟	65536	20809	3	{n=1}
-121631	人缘	65536	20154	3	{n=2}
-121632	先行	65652	20808	2	{d=1, v=14, vd=0, vn=3}
-121633	戒尺	65536	25106	3	{n=0}
-121634	戊戌	92569	25098	2	{m=0, t=0}
-121635	拾掇	65536	25342	3	{v=0}
-121636	农畜	65536	20892	3	{j=0}
-121637	晨光	65536	26216	3	{n=1, nr=0, nz=0}
-121638	品红	65536	21697	3	{n=0}
-121639	暖空气	65536	142413	3	{n=3}
-121640	制约	67466	21046	2	{v=33, vn=29}
-121641	序目	65536	24207	3	{n=0}
-121642	塔楼	65536	22612	3	{n=1}
-121643	品级	65536	21697	3	{n=1}
-121644	揪心	65536	25578	3	{a=1}
-121645	暖色调	65536	144453	3	{n=0}
-121646	捉拿	92172	25417	2	{v=0}
-121647	交际	65542	20132	2	{v=1, vn=0}
-121648	新世纪	65536	171346	3	{nz=4}
-121649	暖融融	65536	145760	3	{z=4}
-121650	内应	65536	20869	3	{n=0}
-121651	库布	88933	24211	1	null
-121652	无所不包	65536	120309	3	{i=1}
-121653	吊床	65536	21514	3	{n=0}
-121654	暖风机	65536	150177	3	{n=0}
-121655	暗中摸	89622	159551	1	null
-121656	暗中摸索	65536	121655	3	{i=0}
-121657	暗地里	65536	161858	3	{d=1}
-121658	尽忠	82214	23613	2	{v=1}
-121659	倒车	65536	20498	3	{v=0, vn=1}
-121660	暗度陈	101484	163768	1	null
-121661	待业	81632	24453	2	{v=5, vn=7}
-121662	寻求	65536	23547	3	{v=40}
-121663	暗度陈仓	65536	121660	3	{i=0}
-121664	扯淡	65536	25199	3	{v=0}
-121665	倒转	65536	20498	3	{v=0}
-121666	手指甲	65536	163337	3	{n=0}
-121667	倒轮	65550	20498	1	null
-121668	暗无天	95587	165618	1	null
-121669	尽快	65536	23613	3	{d=113}
-121670	宾词	65536	23486	3	{n=0}
-121671	截击	87892	25130	2	{v=0, vn=0}
-121672	暗无天日	65536	121668	3	{i=0}
-121673	出借	65536	20986	3	{v=0, vn=0}
-121674	暗沉沉	65536	167323	3	{z=0}
-121675	手指画	65536	163337	3	{n=1}
-121676	半制	67858	21322	1	null
-121677	暗淡淡	65536	167667	3	{z=0}
-121678	既往	100387	26082	1	null
-121679	尸蜡	65536	23608	3	{n=0}
-121680	宁缺	76306	23425	1	null
-121681	披星	90453	25259	1	null
-121682	暗渡陈	101504	167731	1	null
-121683	暗渡陈仓	65536	121682	3	{i=0}
-121684	摩托车	65536	130520	3	{n=13}
-121685	前哨	65694	21069	2	{n=1}
-121686	党费	65536	20826	3	{n=1}
-121687	暗示疗	93827	170572	1	null
-121688	暗示疗法	65536	121687	3	{n=0}
-121689	假造	65536	20551	3	{v=1}
-121690	寡言	82788	23521	2	{a=0}
-121691	奸臣	65536	22904	3	{n=0}
-121692	暗箭伤	101540	171199	1	null
-121693	加州	65536	21152	3	{ns=16}
-121694	暗箭伤人	65536	121692	3	{i=0}
-121695	暗紫色	65536	171581	3	{n=0}
-121696	暗送秋	93823	176403	1	null
-121697	暗送秋波	65536	121696	3	{i=0}
-121698	拘役	65536	25304	3	{v=0}
-121699	扒窃	65536	25170	3	{v=2, vn=1}
-121700	加工	68896	21152	2	{v=44, vn=54}
-121701	既得	99344	26082	1	null
-121702	宾语	65536	23486	3	{n=0}
-121703	抄本	65536	25220	3	{n=1}
-121704	暧昧	100854	26279	2	{a=1}
-121705	暧昧关	89711	121704	1	null
-121706	暧昧关系	65536	121705	3	{n=0}
-121707	医道	65536	21307	3	{n=1}
-121708	暨南	65536	26280	3	{ns=0}
-121709	布尔诺	65536	141164	3	{ns=2}
-121710	暮云春	95070	121804	1	null
-121711	暮云春树	65536	121710	3	{i=0}
-121712	不食	65537	19981	1	null
-121713	暮气沉	93929	129359	1	null
-121714	暮气沉沉	65536	121713	3	{i=1}
-121715	抚恤	78087	25242	2	{v=0, vn=2}
-121716	暮鼓晨	83670	142414	1	null
-121717	暮鼓晨钟	65536	121716	3	{i=0}
-121718	暴力化	65536	149477	3	{v=1}
-121719	吃刀	69569	21507	1	null
-121720	暴发户	65536	149787	3	{n=0}
-121721	受冻	65536	21463	3	{v=2, vn=0}
-121722	暴殄天	92440	155854	1	null
-121723	把势	65536	25226	3	{n=0}
-121724	抑止	65536	25233	3	{v=1}
-121725	入神	65536	20837	3	{a=0}
-121726	必恭	87513	24517	1	null
-121727	卷舌	70421	21367	1	null
-121728	五里	65540	20116	1	null
-121729	暴殄天物	65536	121722	3	{i=0}
-121730	各人	65536	21508	3	{r=0}
-121731	摩天楼	65536	128169	3	{n=0}
-121732	暴虎冯	93907	162712	1	null
-121733	五金	65559	20116	2	{b=0, n=7}
-121734	暴虎冯河	65536	121732	3	{i=0}
-121735	受凉	65536	21463	3	{v=0}
-121736	暴跳如	83091	164669	1	null
-121737	恼火	65536	24700	3	{a=0, an=1}
-121738	暴跳如雷	65536	121736	3	{i=0}
-121739	席卷而	82463	110348	1	null
-121740	假道	65669	20551	1	null
-121741	取消	65536	21462	3	{v=96, vn=0}
-121742	抛物面	65536	125290	3	{n=0}
-121743	暴露文	98348	167036	1	null
-121744	垂落	65536	22402	3	{v=1}
-121745	广州起	89537	147918	1	null
-121746	暴露文学	65536	121743	3	{l=0}
-121747	墨水	70146	22696	2	{n=0}
-121748	暴露无遗	65536	121832	3	{i=0}
-121749	暴风骤雨	65536	122707	3	{i=0}
-121750	暹粒	65536	26297	3	{ns=0}
-121751	暴风雨	65536	167448	3	{n=0}
-121752	哀泣	65536	21696	3	{v=0}
-121753	暴风雪	65536	167448	3	{n=10}
-121754	曙光	65536	26329	3	{n=5, nr=0, nz=1}
-121755	教唆者	65536	160178	3	{n=0}
-121756	数据字	65536	152031	3	{n=0}
-121757	曲别针	65536	154745	3	{n=0}
-121758	曲射炮	65536	157266	3	{n=0}
-121759	全班	65536	20840	3	{n=5}
-121760	墨汁	65536	22696	3	{n=0}
-121761	十滴	65562	21313	1	null
-121762	懂法	65536	25026	3	{v=0}
-121763	晒台	65536	26194	3	{n=0}
-121764	安检门	65536	153084	3	{j=1}
-121765	倒运	65536	20498	3	{a=0, v=0}
-121766	希有	65536	24076	3	{a=0}
-121767	宣德	65536	23459	3	{t=0}
-121768	曲尽其	98836	157323	1	null
-121769	曝光	95143	26333	2	{v=12, vn=3}
-121770	围三	65708	22260	1	null
-121771	人群	65536	20154	3	{n=23}
-121772	尖头	72595	23574	2	{n=0}
-121773	曲尽其妙	65536	121768	3	{i=0}
-121774	晶体	98157	26230	2	{n=3}
-121775	曲径通	97591	158162	1	null
-121776	交集	65536	20132	3	{n=0, v=0}
-121777	明珠投	94653	175338	1	null
-121778	善策	65536	21892	3	{n=0}
-121779	内引	65715	20869	1	null
-121780	曲径通幽	65536	121775	3	{i=1}
-121781	全球	66289	20840	2	{n=125}
-121782	曝光栏	65536	121769	3	{n=0}
-121783	据悉	65536	25454	3	{v=78}
-121784	希望	65536	24076	3	{n=96, nz=1, v=386, vn=25}
-121785	曲意奉	96571	158557	1	null
-121786	曲意奉承	65536	121785	3	{i=0}
-121787	容积	65536	23481	3	{n=0}
-121788	曲意逢迎	65536	135826	3	{i=0}
-121789	内弟	65536	20869	3	{n=0}
-121790	情报界	65536	148258	3	{n=1}
-121791	墨池	65536	22696	3	{n=0}
-121792	曲曲弯	97426	160064	1	null
-121793	曲曲弯弯	65536	121792	3	{z=1}
-121794	曲桑寺	65536	160415	3	{ns=0}
-121795	拓片	65536	25299	3	{n=1}
-121796	巡礼	65536	24033	3	{v=0, vn=2}
-121797	曲棍球	65536	160539	3	{n=0}
-121798	曲水流	86505	161410	1	null
-121799	曲水流觞	65536	121798	3	{l=0}
-121800	怎么着	65536	112410	3	{r=0}
-121801	半劳	68397	21322	1	null
-121802	待产	88293	24453	2	{v=1}
-121803	拐棍	65536	25296	3	{n=0}
-121804	暮云	95561	26286	1	null
-121805	曲江县	65536	161453	3	{ns=0}
-121806	形容词	65536	133763	3	{n=1}
-121807	受刑	65536	21463	3	{v=0}
-121808	拐棒	65536	25296	3	{n=0}
-121809	曲突徙	87596	165071	1	null
-121810	揽活	65536	25597	3	{v=0}
-121811	工字钢	65536	152487	3	{n=0}
-121812	巧干	65536	24039	3	{v=0}
-121813	倒退	65536	20498	3	{v=4, vn=0}
-121814	曲突徙薪	65536	121809	3	{i=0}
-121815	曲终奏	83219	166166	1	null
-121816	曲终奏雅	65536	121815	3	{i=0}
-121817	曲艺团	65536	167112	3	{n=4}
-121818	尿道	78695	23615	2	{n=0}
-121819	曲线图	65536	166157	3	{n=0}
-121820	曲里拐	97455	171034	1	null
-121821	待人	85702	24453	2	{v=5, vn=0}
-121822	曲里拐弯	65536	121820	3	{l=0}
-121823	曲阜市	65536	172138	3	{ns=0}
-121824	曲阳县	65536	172161	3	{ns=0}
-121825	曲靖市	65536	172452	3	{ns=0}
-121826	慈爱	65536	24904	3	{a=1, an=0}
-121827	息烽	91578	24687	2	{ns=0}
-121828	太阳神	65536	134229	3	{nz=0}
-121829	平均线	65536	154281	3	{n=0}
-121830	曲颈甑	65536	172758	3	{n=0}
-121831	慈父	65536	24904	3	{n=0}
-121832	暴露无	84797	167036	1	null
-121833	曲高和	98315	173350	1	null
-121834	入秋	65536	20837	3	{t=1, v=1}
-121835	在意	65536	22312	3	{v=1}
-121836	曲高和寡	65536	121833	3	{i=0}
-121837	曳光	97463	26355	1	null
-121838	受到	65536	21463	3	{v=282}
-121839	告特	72695	21578	2	{n=0}
-121840	曳光弹	65536	121837	3	{n=0}
-121841	内当	65771	20869	1	null
-121842	更上一	98227	144504	1	null
-121843	周四	65536	21608	3	{t=2}
-121844	受制	72450	21463	2	{v=0}
-121845	更上一层	94844	121842	1	null
-121846	媚颜	65536	23194	3	{n=0}
-121847	埃里	69354	22467	1	null
-121848	更上一层楼	65536	121845	3	{i=7, n=0}
-121849	更上层楼	65536	125492	3	{i=2}
-121850	感激涕	75135	147687	1	null
-121851	冰瓶	65536	20912	3	{n=0}
-121852	叶蜂	65536	21494	3	{n=0}
-121853	抑郁症	65536	131291	3	{n=0}
-121854	妙药	65536	22937	3	{n=0}
-121855	恒安	65536	24658	3	{nz=5}
-121856	更仆难	95889	144692	1	null
-121857	更仆难数	65536	121856	3	{i=0}
-121858	更何况	65536	144835	3	{l=8}
-121859	更型换	101665	146937	1	null
-121860	更型换代	65536	121859	3	{l=0}
-121861	季风	78874	23395	2	{n=2, nr=0}
-121862	更年期	65536	148706	3	{n=0, t=0}
-121863	更弦易	85105	148884	1	null
-121864	人老	65537	20154	1	null
-121865	户办	65536	25143	3	{v=2}
-121866	更弦易辙	65536	121863	3	{l=1}
-121867	更戛乡	65536	149641	3	{ns=0}
-121868	周围	65554	21608	2	{f=91, n=1}
-121869	存储	81267	23384	2	{v=1, vn=5}
-121870	戒严法	65536	118028	3	{n=0}
-121871	更新换	101683	150558	1	null
-121872	恒定	65536	24658	3	{an=0}
-121873	寓言	65536	23507	3	{n=2}
-121874	吃力	65536	21507	3	{a=2}
-121875	教学相	80064	161810	1	null
-121876	并购额	65536	147655	3	{n=1}
-121877	各位	65536	21508	3	{r=12}
-121878	更新换代	65536	121871	3	{i=2}
-121879	更有甚	89107	150903	1	null
-121880	更有甚者	65536	121879	3	{c=1, j=0, l=1}
-121881	更深人	83138	152671	1	null
-121882	待价	78434	24453	1	null
-121883	更深人静	65536	121881	3	{i=0}
-121884	更生霉	89859	154509	1	null
-121885	公敌	65536	20844	3	{n=0}
-121886	关贸	65536	20851	3	{j=2}
-121887	尽情	65536	23613	3	{d=11}
-121888	抄查	65536	25220	3	{v=0}
-121889	心潮难	87686	168286	1	null
-121890	内径	65536	20869	3	{n=0}
-121891	更生霉素	65536	121884	3	{l=0}
-121892	变则	65552	21464	1	null
-121893	更胜一	90285	157514	1	null
-121894	更胜一筹	65536	121893	3	{i=1}
-121895	更衣室	65536	159441	3	{n=0}
-121896	更进一	94408	161353	1	null
-121897	吃劲	65536	21507	3	{a=0, v=0}
-121898	吃劳	72501	21507	1	null
-121899	处境	65536	22788	3	{n=9}
-121900	告状	65536	21578	3	{v=2, vn=1}
-121901	更进一步	65536	121896	3	{l=1}
-121902	挺拔	65536	25402	3	{a=4}
-121903	曹甸镇	65536	130510	3	{ns=0}
-121904	曼哈顿	98199	121971	2	{ns=2}
-121905	斤头	65536	26020	3	{n=0}
-121906	曼哈顿岛	65536	121904	3	{ns=1}
-121907	圆乎	76478	22278	1	null
-121908	曼彻斯	92609	124710	1	null
-121909	主钢	65536	20027	1	null
-121910	晕倒	65536	26197	3	{v=1}
-121911	捷克斯	88802	116775	1	null
-121912	放射源	65536	164108	3	{n=0}
-121913	振振	90169	25391	1	null
-121914	曼彻斯特	65536	121908	3	{ns=3}
-121915	夺金	65536	22842	3	{j=1, vn=0}
-121916	克隆	67339	20811	2	{v=17, vn=7}
-121917	待会	90423	24453	1	null
-121918	曼德拉	65536	124770	3	{nr=7}
-121919	命运	68402	21629	2	{n=55, v=0}
-121920	中转	65536	20013	2	{v=0, vd=0, vn=2}
-121921	军工	66536	20891	2	{j=0, n=3}
-121922	光秃	65547	20809	1	null
-121923	曼斯菲	98357	126298	1	null
-121924	工作处	65536	149420	3	{n=1}
-121925	动物	67218	21160	2	{n=77}
-121926	挺括	65536	25402	3	{a=0}
-121927	宠辱	85608	23456	1	null
-121928	中轴	65564	20013	1	null
-121929	曼斯菲尔	97428	121923	1	null
-121930	平方英	85699	157979	1	null
-121931	曼斯菲尔德	100551	121929	1	null
-121932	曼斯菲尔德厅	65536	121931	3	{n=1}
-121933	曼荼罗	65536	133927	3	{n=0}
-121934	姑老	73517	22993	1	null
-121935	户勤	93053	25143	1	null
-121936	曾几何	95835	122271	1	null
-121937	曾几何时	65536	121936	3	{i=0}
-121938	扩散	65536	25193	3	{v=6, vn=5}
-121939	曾孙女	65536	124696	3	{n=0}
-121940	撩开	65536	25769	3	{v=1}
-121941	曹县	65536	26361	3	{ns=0}
-121942	文学史	65536	170166	3	{n=5}
-121943	曾家岩	65536	124789	3	{ns=0}
-121944	公文	66401	20844	2	{n=3}
-121945	曾庆红	65536	125509	3	{nr=22}
-121946	备注	65536	22791	3	{n=1}
-121947	曾用名	65536	131303	3	{n=0}
-121948	曾祖母	65536	132373	3	{n=0}
-121949	曾经沧	93929	133774	1	null
-121950	影像	65536	24433	3	{j=0, n=5}
-121951	书铺	65536	20070	3	{n=0}
-121952	曾经沧海	65536	121949	3	{i=0}
-121953	内心	65536	20869	3	{n=19}
-121954	替代品	65536	121970	3	{n=1}
-121955	搁置	65536	25601	3	{v=3, vn=1}
-121956	军师	65579	20891	2	{n=0}
-121957	宝号	65536	23453	3	{n=0}
-121958	字符集	65536	136773	3	{n=3}
-121959	受助	65659	21463	1	null
-121960	扫墓	65536	25195	3	{v=0, vn=0}
-121961	奉节	79698	22857	2	{ns=0}
-121962	搀扶	65536	25600	3	{v=4, vn=0}
-121963	替死鬼	65536	129290	3	{n=0}
-121964	军帐	65536	20891	3	{n=1}
-121965	替续器	65536	134268	3	{n=0}
-121966	替罪羊	65536	134393	3	{n=0}
-121967	最后通	92706	133785	1	null
-121968	敏感	96933	25935	2	{a=23, ad=0, an=2}
-121969	最低价	65536	132569	3	{n=5}
-121970	替代	100257	26367	2	{v=27, vn=7}
-121971	曼哈	82865	26364	1	null
-121972	最后通牒	65536	121967	3	{l=0}
-121973	公斤	65536	20844	3	{q=128}
-121974	撇开	65536	25735	3	{v=1}
-121975	扶贫济	92844	147087	1	null
-121976	最大化	65536	135090	3	{v=12, vn=0}
-121977	最底层	65536	136480	3	{n=0}
-121978	最强音	65536	136645	3	{n=0}
-121979	克雅	65537	20811	1	null
-121980	最惠国	65536	137067	3	{n=0}
-121981	折旧费	65536	146619	3	{n=0}
-121982	公断	65536	20844	3	{v=0, vn=2}
-121983	抚慰	65536	25242	3	{v=2, vn=0}
-121984	最新型	65536	138299	3	{b=1}
-121985	教育工	98073	171358	1	null
-121986	最轻量	89569	148998	1	null
-121987	弱点	65536	24369	3	{n=8}
-121988	中辰	65536	20013	3	{nz=0}
-121989	内忧	65716	20869	2	{n=0}
-121990	找头	65536	25214	3	{n=0}
-121991	力透	65678	21147	1	null
-121992	最轻量级	65536	121986	3	{b=1}
-121993	最高人民	95178	121996	1	null
-121994	最高人民检	98478	121993	1	null
-121995	威猛	65536	23041	3	{a=0}
-121996	最高人	94328	151907	1	null
-121997	最高人民检察	83500	121994	1	null
-121998	最高人民检察院	65536	121997	3	{n=0}
-121999	出入	65652	20986	2	{n=0, v=4, vn=1}
-122000	最高人民法院	65536	123039	3	{n=0}
-122001	旋光	95094	26059	1	null
-122002	最高法院	65536	129703	3	{n=1}
-122003	处士	65536	22788	3	{n=0}
-122004	月下老	101853	159420	1	null
-122005	先见	67380	20808	1	null
-122006	出公	65824	20986	1	null
-122007	月下老人	65536	122004	3	{i=0}
-122008	月亮门儿	65536	129316	3	{n=0}
-122009	军帽	65536	20891	3	{n=3}
-122010	月亮神	65536	159583	3	{nz=0}
-122011	月份牌	65536	159662	3	{n=0}
-122012	押款	65536	25276	3	{n=0, v=0, vn=0}
-122013	出关	65536	20986	3	{v=0, vn=0}
-122014	广播网	65536	149661	3	{n=0}
-122015	出兵	65536	20986	3	{v=1}
-122016	出其	68138	20986	1	null
-122017	出具	65536	20986	3	{v=4}
-122018	出典	65536	20986	3	{n=0}
-122019	昆剧	65536	26118	3	{n=18}
-122020	月偏食	65536	160000	3	{n=0}
-122021	撕开	65536	25749	3	{v=0}
-122022	月光如水	65536	122024	3	{i=0}
-122023	捉摸	96602	25417	2	{v=1}
-122024	月光如	94322	160250	1	null
-122025	恬然	65536	24684	3	{z=0}
-122026	初次	65536	21021	3	{d=7}
-122027	月全食	65536	160281	3	{n=0}
-122028	处处	65536	22788	3	{d=10, n=2, q=8}
-122029	偏颇	65536	20559	3	{an=0, z=1}
-122030	拟声	80341	25311	2	{b=0}
-122031	厂规	65536	21378	3	{n=0}
-122032	中远	65536	20013	3	{j=0, nz=11}
-122033	宫调	65536	23467	3	{n=0}
-122034	八达	65539	20843	1	null
-122035	变动	65581	21464	2	{v=17, vn=23}
-122036	导磁	76963	23548	1	null
-122037	月利率	65536	160474	3	{n=4}
-122038	带头	88771	24102	2	{d=0, v=29, vd=1, vn=3}
-122039	月台票	65536	160929	3	{n=0}
-122040	敏慧	65536	25935	3	{a=0}
-122041	加强	66325	21152	2	{v=822, vd=0, vn=22}
-122042	北三	65540	21271	1	null
-122043	北上	65536	21271	3	{v=7, vn=0}
-122044	折叠椅	65536	142004	3	{n=0}
-122045	月子病	65536	162817	3	{n=0}
-122046	偏题	65536	20559	3	{n=0}
-122047	月季花	65536	162836	3	{n=1}
-122048	库仑计	65536	117761	3	{n=0}
-122049	旅行家	65536	152838	3	{n=0}
-122050	拒收	65536	25298	3	{v=1, vn=0}
-122051	月工资	65536	163478	3	{n=3}
-122052	八运	67337	20843	2	{j=2}
-122053	宁肯	65536	23425	3	{c=0, d=2}
-122054	口中	65536	21475	3	{s=4}
-122055	月明如	83820	165567	1	null
-122056	月明如镜	65536	122055	3	{l=0}
-122057	最高价	65536	151907	3	{n=5}
-122058	存入	65536	23384	3	{v=4, vn=0}
-122059	月明风清	65536	138259	3	{i=0}
-122060	奉若	70069	22857	1	null
-122061	婚期	65536	23130	3	{n=2}
-122062	月月红	65536	165817	3	{n=0}
-122063	接线柱	65536	166231	3	{n=0}
-122064	华文	65536	21326	3	{nz=13}
-122065	月桂树	65536	166131	3	{n=0}
-122066	八连	65536	20843	3	{n=0}
-122067	月环食	65536	169056	3	{n=0}
-122068	卫生设	68332	104874	1	null
-122069	感光片	65536	139888	3	{n=0}
-122070	月白风	93911	169774	1	null
-122071	月牙形	65536	168714	3	{n=0}
-122072	描摹	65536	25551	3	{v=2}
-122073	夹墙	65536	22841	3	{n=0}
-122074	墓道	65536	22675	3	{n=0}
-122075	扭亏	94983	25197	2	{v=10, vn=0}
-122076	月白风清	65536	122070	3	{i=0}
-122077	中选	65536	20013	3	{v=1}
-122078	展出	65536	23637	3	{v=24, vn=0}
-122079	公明	66785	20844	1	null
-122080	月经带	65536	171904	3	{n=0}
-122081	出冷	65579	20986	1	null
-122082	月黑风	82443	180098	1	null
-122083	月黑风高	65536	122082	3	{i=0}
-122084	参看	65536	21442	3	{v=0}
-122085	撒手归	82472	136681	1	null
-122086	周城	65630	21608	1	null
-122087	月球仪	65536	169140	3	{n=0}
-122088	中途	65536	20013	3	{d=6, f=0, s=0}
-122089	我厂	65536	25105	3	{n=4, r=0}
-122090	拥政	86911	25317	1	null
-122091	有一手	65536	174754	3	{l=0}
-122092	有两下	98719	174790	1	null
-122093	兵谏	67547	20853	2	{v=0}
-122094	初步	65536	21021	3	{b=21, d=72}
-122095	有两下子	65536	122092	3	{l=0}
-122096	围住	65536	22260	3	{v=4}
-122097	公映	65536	20844	3	{v=2}
-122098	斩尽	92575	26025	1	null
-122099	有产阶级	65536	127784	3	{n=0}
-122100	压电	65916	21387	2	{vn=1}
-122101	层见	86087	23618	1	null
-122102	危辞	65638	21361	1	null
-122103	有产者	65536	174921	3	{n=0}
-122104	扣杀	65536	25187	3	{v=0, vn=1}
-122105	有价证	101060	175001	1	null
-122106	太阳穴	65536	134229	3	{n=0}
-122107	嫩鲜	65538	23273	1	null
-122108	有价证券	65536	122105	3	{l=8, n=1}
-122109	有伤风	100840	175046	1	null
-122110	有伤风化	65536	122109	3	{i=1}
-122111	尿酸	65536	23615	3	{n=0}
-122112	恐怖片	65536	115987	3	{n=0}
-122113	夹壁	78391	22841	1	null
-122114	有何不	100631	175095	1	null
-122115	假释	65538	20551	2	{v=0, vn=0}
-122116	嘉言	70331	22025	1	null
-122117	偏食	65536	20559	3	{v=1, vn=0}
-122118	有何不可	65536	122114	3	{l=0}
-122119	战争狂	65536	157496	3	{n=0}
-122120	居留	81159	23621	2	{vn=0}
-122121	有偿转	86370	175393	1	null
-122122	愚民	87798	24858	2	{n=0}
-122123	有偿转让	65536	122121	3	{l=0}
-122124	愚氓	65536	24858	3	{n=0}
-122125	有光纸	65536	175595	3	{n=0}
-122126	有几下	98751	175746	1	null
-122127	有几下子	65536	122126	3	{l=0}
-122128	帮手	65536	24110	3	{n=4}
-122129	有凭有	96677	175759	1	null
-122130	北乡	65536	21271	3	{ns=0}
-122131	有凭有据	65536	122129	3	{i=0}
-122132	有分寸	65536	175784	3	{a=1}
-122133	不骄	65852	19981	1	null
-122134	有则改	102094	175803	1	null
-122135	晴和	65536	26228	3	{a=0}
-122136	人脑	65536	20154	3	{n=4}
-122137	有则改之	65536	122134	3	{i=0}
-122138	有利于	65536	175819	3	{i=0, v=131, vn=1}
-122139	处女	78595	22788	2	{n=0}
-122140	在所	76883	22312	1	null
-122141	有利可图	65536	123515	3	{i=3}
-122142	停靠	65536	20572	3	{v=7}
-122143	有别于	65536	175821	3	{v=5}
-122144	半吊	66183	21322	1	null
-122145	变化	70547	21464	2	{n=0, v=66, vn=195}
-122146	截取	65536	25130	3	{v=1}
-122147	兴致	66487	20852	2	{n=6}
-122148	出出	65536	20986	3	{v=3}
-122149	出击	65536	20986	3	{v=4, vn=0}
-122150	我县	65536	25105	3	{n=0, r=1}
-122151	中道	65536	20013	3	{j=0, n=1}
-122152	有功者	65536	175937	3	{n=1}
-122153	塞瓦	71787	22622	1	null
-122154	户县	65536	25143	3	{ns=0}
-122155	有加利	65536	175938	3	{n=0}
-122156	少年装	65536	131751	3	{n=0}
-122157	忠孝	92214	24544	2	{n=0}
-122158	有助于	65536	175947	3	{v=43}
-122159	有勇无谋	65536	122167	3	{i=0}
-122160	和数	65536	21644	3	{n=0}
-122161	有勇有谋	65536	122464	3	{l=0}
-122162	有去无	99925	176221	1	null
-122163	有去无回	65536	122162	3	{l=1}
-122164	半吞	68238	21322	1	null
-122165	有口无心	65536	122170	3	{i=0}
-122166	加德	65543	21152	1	null
-122167	有勇无	86308	175977	1	null
-122168	有口皆碑	65536	126432	3	{i=3}
-122169	总的说	86342	163535	1	null
-122170	有口无	97650	176261	1	null
-122171	帮扶	65536	24110	3	{v=37, vn=0}
-122172	冬运	67738	20908	2	{j=2, v=1}
-122173	有史以	95709	176276	1	null
-122174	握手	81949	25569	2	{v=12, vn=0}
-122175	人脸	65536	20154	3	{n=0}
-122176	有口难分	65536	134680	3	{i=0}
-122177	出列	65536	20986	3	{v=0}
-122178	有史以来	65536	122173	3	{l=4}
-122179	有名无实	65536	122186	3	{i=1}
-122180	明细账	65536	178128	3	{n=0}
-122181	有名有实	65536	122483	3	{l=0}
-122182	功课	65564	21151	2	{n=8}
-122183	和文	65536	21644	3	{n=0}
-122184	冲账	65536	20914	3	{v=1}
-122185	有嘴无	97676	176854	1	null
-122186	有名无	98725	176303	1	null
-122187	北亚	65536	21271	3	{ns=2}
-122188	抹布	65536	25273	3	{n=0}
-122189	前因	67134	21069	1	null
-122190	户口	93522	25143	2	{n=10}
-122191	有嘴无心	65536	122185	3	{l=0}
-122192	有增无	101260	177472	1	null
-122193	有声有	88800	177554	1	null
-122194	有声有色	65536	122193	3	{i=8}
-122195	有备无	97457	177577	1	null
-122196	有备无患	65536	122195	3	{i=0}
-122197	套交	76430	22871	1	null
-122198	挖沙	65536	25366	3	{v=1, vn=2}
-122199	华明	65536	21326	3	{nz=0}
-122200	日臻成	91447	179280	1	null
-122201	携手	93214	25658	2	{v=15, vd=5, vn=1}
-122202	料事	96058	26009	1	null
-122203	有增无减	65536	122192	3	{i=4}
-122204	有天没	96122	177611	1	null
-122205	北京	71121	21271	2	{n=0, ns=1377}
-122206	制胜	65536	21046	3	{v=3, vn=0}
-122207	有天没日	65536	122204	3	{i=0}
-122208	拨冗	65536	25320	3	{d=0}
-122209	变卖	65536	21464	3	{v=1, vn=0}
-122210	恋爱	77608	24651	2	{v=2, vn=0}
-122211	内情	65536	20869	3	{n=0}
-122212	史迹	65536	21490	3	{n=0}
-122213	有失远	85401	177619	1	null
-122214	分业	67135	20998	2	{v=1}
-122215	有失远迎	65536	122213	3	{l=0}
-122216	华星	65536	21326	3	{nz=1}
-122217	有头无尾	65536	122220	3	{i=0}
-122218	加快	65536	21152	3	{v=235, vd=0, vn=3}
-122219	北人	65536	21271	3	{nz=0}
-122220	有头无	98603	177622	1	null
-122221	工资表	65536	165268	3	{n=0}
-122222	忠实	80710	24544	2	{a=4, ad=2, an=0, v=0}
-122223	有奖销	100420	177656	1	null
-122224	扭伤	65536	25197	3	{v=0}
-122225	变卦	65536	21464	3	{v=0}
-122226	有奖销售	65536	122223	3	{l=1}
-122227	救济式	65536	148171	3	{b=2, n=0}
-122228	户吉	65536	25143	3	{nr=0}
-122229	有头有尾	65536	122517	3	{i=0}
-122230	有始无终	65536	122239	3	{i=0}
-122231	有始有终	65536	122536	3	{i=1}
-122232	户名	65536	25143	3	{n=0}
-122233	分中	65614	20998	1	null
-122234	吃吃	71031	21507	1	null
-122235	因素	65536	22240	3	{n=184}
-122236	有孔虫	65536	178166	3	{n=0}
-122237	口令	65536	21475	3	{n=1}
-122238	中邪	65536	20013	3	{v=0}
-122239	有始无	89774	177773	1	null
-122240	抱头	85466	25265	1	null
-122241	尺蠖	72839	23610	2	{n=0}
-122242	北仑	65562	21271	1	null
-122243	有序化	65536	178993	3	{v=0, vn=2}
-122244	敲响	65536	25970	3	{v=21, vn=2}
-122245	吃后	68226	21507	1	null
-122246	分为	65536	20998	3	{n=0, v=27}
-122247	有张有	97901	179138	1	null
-122248	有张有弛	65536	122247	3	{l=0}
-122249	文明人	65536	172894	3	{n=0}
-122250	宋词	65536	23435	3	{n=0}
-122251	安全系	78828	147108	1	null
-122252	有形损	89462	179204	1	null
-122253	有形损耗	65536	122252	3	{l=0}
-122254	有心人	65536	179301	3	{n=2}
-122255	有志之士	65536	122265	3	{n=0}
-122256	工资袋	65536	165268	3	{n=0}
-122257	有志者事	90805	134995	1	null
-122258	冲走	65536	20914	3	{v=1}
-122259	光笔	65536	20809	3	{n=0}
-122260	有志者事竟	97157	122257	1	null
-122261	有志者事竟成	65536	122260	3	{i=0}
-122262	变压	70460	21464	1	null
-122263	分之	65536	20998	3	{m=0}
-122264	在押	67514	22312	2	{v=11, vn=4}
-122265	有志之	99492	179321	1	null
-122266	压痛	65536	21387	3	{n=0}
-122267	惧色	65536	24807	3	{n=0}
-122268	有性杂交	65536	122270	3	{l=0}
-122269	按住	65536	25353	3	{v=1}
-122270	有性杂	102136	179401	1	null
-122271	曾几	101627	26366	1	null
-122272	有性生殖	65536	125819	3	{l=0}
-122273	有恃无	97623	179429	1	null
-122274	中郎	65538	20013	1	null
-122275	太极	79894	22826	2	{n=2, nz=0}
-122276	加急	65610	21152	2	{b=0}
-122277	别连	65559	21035	1	null
-122278	归根结	86637	142033	1	null
-122279	有恃无恐	65536	122273	3	{i=0}
-122280	有悖于	65536	179512	3	{v=1}
-122281	弃置	65536	24323	3	{v=0}
-122282	敦实	65536	25958	3	{a=0}
-122283	体重	65536	20307	3	{n=8}
-122284	有情人	65536	179559	3	{n=0}
-122285	晴到少	101420	121531	1	null
-122286	曾凯	65536	26366	3	{nr=0}
-122287	有惊无	83786	179564	1	null
-122288	寄籍	65536	23492	3	{n=0}
-122289	华晨	65536	21326	3	{nz=0}
-122290	主队	65536	20027	3	{n=1}
-122291	有惊无险	65536	122287	3	{l=2}
-122292	暖暖地	65536	137321	3	{z=2}
-122293	品脱	65536	21697	3	{q=0}
-122294	最低值	65536	132569	3	{n=0}
-122295	有意无意	65536	123795	3	{i=2}
-122296	有感于	65536	179649	3	{v=1}
-122297	口传	68124	21475	2	{v=0}
-122298	加总	65536	21152	3	{vn=1}
-122299	县级	65536	21439	3	{b=48}
-122300	中部	65536	20013	3	{f=31}
-122301	有所不为	89522	122319	2	{i=4, l=0}
-122302	有所不为而	100788	122301	1	null
-122303	弧线	65536	24359	3	{n=0}
-122304	切身	67204	20999	2	{b=4, d=1}
-122305	北伐	68014	21271	2	{j=0}
-122306	有所不为而后	100820	122302	1	null
-122307	有所不为而后可	102111	122306	1	null
-122308	有所不为而后可以	95936	122307	1	null
-122309	出力	65536	20986	3	{v=2, vn=0}
-122310	延安路	65536	116199	3	{ns=0}
-122311	书院	65536	20070	3	{n=1}
-122312	尖子	65536	23574	3	{n=8}
-122313	有所不为而后可以有	102292	122308	1	null
-122314	审计长	65536	132110	3	{n=2}
-122315	尾田	65536	23614	3	{nr=0}
-122316	手术灯	65536	164401	3	{n=0}
-122317	旷古	65536	26103	3	{b=1, d=0}
-122318	有所不为而后可以有为	65536	122313	3	{i=0}
-122319	有所不	102275	179938	1	null
-122320	有意思	65536	179633	3	{l=5}
-122321	有所为有	97174	122364	1	null
-122322	出动	65536	20986	3	{v=20}
-122323	和易	65536	21644	3	{a=0}
-122324	提款机	65536	162647	3	{n=0}
-122325	对不起	65536	144456	3	{v=6}
-122326	有所为有所	102347	122321	1	null
-122327	战略物	78136	167444	1	null
-122328	有所为有所不	102303	122326	1	null
-122329	有所为有所不为	65536	122328	3	{l=1, n=0}
-122330	公有	66575	20844	2	{b=20}
-122331	冰盖	65659	20912	2	{n=1}
-122332	有志于	65536	179321	3	{v=2}
-122333	有所作为	65536	122654	3	{l=3}
-122334	有把握	65536	180012	3	{l=1}
-122335	低迷	65536	20302	3	{a=2, an=0, v=2, vn=0}
-122336	无限大	65536	190359	3	{n=0}
-122337	岸茂	65536	23736	3	{nr=0}
-122338	有损于	65536	180225	3	{v=1}
-122339	有效分蘖	65536	122850	3	{l=0}
-122340	工艺论	87370	162506	1	null
-122341	徽章	65536	24509	3	{n=0}
-122342	握拳	65536	25569	3	{v=0}
-122343	向量	65536	21521	3	{n=0}
-122344	有教无	90480	180731	1	null
-122345	搞搞	65536	25630	3	{v=0}
-122346	受听	65536	21463	3	{a=0}
-122347	有教无类	65536	122344	3	{i=0}
-122348	床罩	65536	24202	3	{n=0}
-122349	扼死	65536	25212	3	{v=0}
-122350	新疆班	65536	181442	3	{n=0}
-122351	怕生	65536	24597	3	{a=0}
-122352	旋动	65536	26059	3	{v=1}
-122353	有日子	65536	180871	3	{v=0}
-122354	有时不	97250	180888	1	null
-122355	有时不我	97903	122354	1	null
-122356	有时不我待	65536	122355	3	{i=0}
-122357	救生带	65536	150172	3	{n=0}
-122358	影剧	81118	24433	1	null
-122359	分享	65536	20998	3	{v=14, vn=1}
-122360	有朝一	96277	181183	1	null
-122361	差异	65536	24046	3	{n=19, vn=0}
-122362	有朝一日	65536	122360	3	{i=2}
-122363	有期徒	101357	181185	1	null
-122364	有所为	95944	179938	2	{l=4}
-122365	搏斗	65536	25615	3	{v=3, vn=2}
-122366	有期徒刑	65536	122363	3	{l=6}
-122367	信誉	65536	20449	3	{n=18}
-122368	有机化学	65536	125589	3	{l=0}
-122369	挥之	95144	25381	1	null
-122370	媚骨	65536	23194	3	{n=0}
-122371	图书	74067	22270	2	{n=79}
-122372	有机可乘	65536	125806	3	{i=1}
-122373	有机合成	65536	125831	3	{l=0}
-122374	有机染料	65536	130898	3	{l=0}
-122375	低速	65536	20302	3	{b=0, d=4, n=0}
-122376	宣战	65536	23459	3	{v=2, vn=0}
-122377	信誓	65633	20449	1	null
-122378	有机玻璃	65536	133946	3	{l=0}
-122379	有机肥料	65536	137252	3	{l=0}
-122380	有条不紊	65536	122381	3	{i=5}
-122381	有条不	90370	181251	1	null
-122382	出勤	65557	20986	2	{v=0, vn=1}
-122383	有条有理	65536	128777	3	{i=0}
-122384	尼罗	79608	23612	1	null
-122385	有来有	97941	181255	1	null
-122386	存款额	65536	128675	3	{n=1}
-122387	兵贵	65545	20853	1	null
-122388	抬杠	65536	25260	3	{v=0}
-122389	有来有往	65536	122385	3	{l=0}
-122390	有板有	91867	181281	1	null
-122391	有板有眼	65536	122390	3	{i=0}
-122392	有效值	65536	180714	3	{n=0}
-122393	军徽	65536	20891	3	{n=0}
-122394	有根有	96942	181467	1	null
-122395	悠然	79906	24736	2	{a=0, ad=0, an=0}
-122396	有根有据	65536	122394	3	{l=2}
-122397	有气无	101254	182454	1	null
-122398	展区	65536	23637	3	{n=2}
-122399	军心	65536	20891	3	{n=4}
-122400	抱委	92016	25265	1	null
-122401	有气无力	65536	122397	3	{i=0}
-122402	各党	65536	21508	3	{r=7}
-122403	有求必	98193	182500	1	null
-122404	分付	65536	20998	3	{v=0}
-122405	有求必应	65536	122403	3	{i=0}
-122406	有法不	102026	182647	1	null
-122407	有法不依	65536	122406	3	{l=5}
-122408	有法可依	65536	123912	3	{l=3}
-122409	尼龙衫	65536	130642	3	{n=0}
-122410	有法必依	65536	126942	3	{l=1}
-122411	偷鸡	65539	20599	1	null
-122412	有滋有	100794	183149	1	null
-122413	有滋有味	65536	122412	3	{l=1}
-122414	有理函数	65536	122837	3	{l=0}
-122415	操作数	65536	123853	3	{n=0}
-122416	有理分式	65536	122846	3	{l=0}
-122417	差强	88215	24046	1	null
-122418	旗号	65536	26071	3	{n=5}
-122419	有理方程	65536	127889	3	{n=0}
-122420	口供	65536	21475	3	{n=0}
-122421	有理无情	65536	127928	3	{l=0}
-122422	唱词	65536	21809	3	{n=0}
-122423	寿爷	65536	23551	3	{n=7}
-122424	有理有据	65536	128225	3	{l=1}
-122425	有生之	98252	184769	1	null
-122426	展卖	65536	23637	3	{v=0}
-122427	受命	65536	21463	3	{v=5}
-122428	廉洁自	85565	118258	1	null
-122429	停顿	65536	20572	3	{v=2, vn=1}
-122430	新民主主义革	97807	119434	1	null
-122431	各具	65588	21508	1	null
-122432	有生之年	65536	122425	3	{n=1}
-122433	有生以来	65536	122579	3	{l=0}
-122434	所有	93381	25152	2	{b=177, n=0, v=21, vn=0}
-122435	有生力量	65536	123529	3	{n=2}
-122436	博览	70794	21338	2	{v=3, vn=4}
-122437	审判长	65536	117393	3	{n=5}
-122438	有用之	97277	184778	1	null
-122439	力量	65536	21147	3	{n=264}
-122440	吃哑	68899	21507	1	null
-122441	尼龙袋	65536	130642	3	{n=0}
-122442	有用之才	65536	122438	3	{i=2}
-122443	拙朴	65536	25305	3	{a=1}
-122444	改革派	65536	166894	3	{n=0}
-122445	有的放矢	65536	122451	3	{i=1}
-122446	有益于	65536	185196	3	{v=0}
-122447	卫生费	65536	104874	3	{n=1}
-122448	拔丝	65536	25300	3	{n=0}
-122449	抛光液	65536	116810	3	{n=0}
-122450	姑舅	65536	22993	3	{n=0}
-122451	有的放	91755	185126	1	null
-122452	愤激	65536	24868	3	{a=0}
-122453	有目共	91876	185232	1	null
-122454	和暖	65536	21644	3	{a=1, an=0}
-122455	城下	77520	22478	1	null
-122456	北侧	65536	21271	3	{f=4}
-122457	惠普	65536	24800	3	{nz=5}
-122458	尼龙袜	65536	130642	3	{n=0}
-122459	府绸	65536	24220	3	{n=0}
-122460	宣扬	65536	23459	3	{v=2, vn=0}
-122461	有目共睹	65536	122453	3	{i=5}
-122462	抬枪	65536	25260	3	{n=0}
-122463	有眉目	65536	185259	3	{l=0}
-122464	有勇有	86310	175977	1	null
-122465	塔河	65536	22612	3	{ns=3}
-122466	持之有	90364	116464	1	null
-122467	审时	81384	23457	1	null
-122468	有眼无	92805	185310	1	null
-122469	有眼无珠	65536	122468	3	{i=0}
-122470	分会	65853	20998	2	{n=5}
-122471	娇生	78267	23047	1	null
-122472	城东	77548	22478	2	{ns=0, s=3}
-122473	展厅	65536	23637	3	{n=7}
-122474	有碍于	65536	185647	3	{v=0}
-122475	州里	65536	24030	3	{n=1}
-122476	入籍	65536	20837	3	{v=0, vn=0}
-122477	功败	66317	21151	1	null
-122478	婚检	65536	23130	3	{j=0}
-122479	前堂	65536	21069	3	{s=2}
-122480	差役	65536	24046	3	{n=0}
-122481	拨动	65536	25320	3	{v=2}
-122482	戒律	65536	25106	3	{n=0}
-122483	有名有	98727	176303	1	null
-122484	创造	67167	21019	2	{v=242, vn=26}
-122485	有神论	65536	185856	3	{n=0}
-122486	有禁不	94998	185891	1	null
-122487	志气	65536	24535	3	{n=1}
-122488	有禁不止	65536	122486	3	{i=0}
-122489	城中	65536	22478	3	{ns=1}
-122490	口信	65536	21475	3	{n=0}
-122491	有章可	98003	186242	1	null
-122492	持旗	96138	25345	1	null
-122493	有章可循	65536	122491	3	{i=2}
-122494	变味	65536	21464	3	{v=0}
-122495	有约在	101690	187208	1	null
-122496	出卖	65536	20986	3	{v=7, vn=0}
-122497	人艺	65536	20154	3	{j=4}
-122498	有约在先	65536	122495	3	{i=0}
-122499	有线广	96727	187233	1	null
-122500	有线广播	65536	122499	3	{l=3}
-122501	有缘分	65536	187322	3	{l=0}
-122502	全盔	65536	20840	3	{n=0}
-122503	印痕	65536	21360	3	{n=2}
-122504	唯金	65741	21807	1	null
-122505	图们	65536	22270	3	{ns=0}
-122506	全盘	65536	20840	3	{b=0, d=8, n=0}
-122507	有翅蚜	65536	187495	3	{n=0}
-122508	完璧	80825	23436	1	null
-122509	全盛	65536	20840	3	{b=0}
-122510	加意	65536	21152	3	{d=0}
-122511	惯犯	65536	24815	3	{n=0}
-122512	攻城略	95641	133492	1	null
-122513	全盟	65536	20840	3	{n=0}
-122514	惹火	84685	24825	2	{v=0}
-122515	恒温箱	65536	126623	3	{n=0}
-122516	有胆有	86741	187752	1	null
-122517	有头有	98615	177622	1	null
-122518	挑三窝	94215	131690	1	null
-122519	志水	65536	24535	3	{nr=0}
-122520	有线电报	65536	128313	3	{l=0}
-122521	播州	65536	25773	3	{ns=0}
-122522	主震	65536	20027	3	{n=2}
-122523	有胆有识	65536	122516	3	{i=0}
-122524	时效性	65536	167509	3	{n=3}
-122525	孝道	65536	23389	3	{n=0}
-122526	有背景	65536	187758	3	{l=0}
-122527	分体	65536	20998	3	{b=0}
-122528	奶牙	65536	22902	3	{n=0}
-122529	文山州	65536	170433	3	{ns=0}
-122530	奶牛	65536	22902	3	{n=3}
-122531	有色人种	65536	122532	3	{l=0}
-122532	有色人	91350	188180	1	null
-122533	拘押	65536	25304	3	{v=0}
-122534	搅扰	65536	25605	3	{v=0}
-122535	有色金属	65536	139707	3	{n=13}
-122536	有始有	89775	177773	1	null
-122537	告申	69953	21578	1	null
-122538	戒心	65536	25106	3	{n=0}
-122539	有苦难	87214	188296	1	null
-122540	出厂	67907	20986	2	{v=4, vn=2}
-122541	城乡	69350	22478	2	{j=0, n=62}
-122542	有苦难言	65536	122539	3	{l=1}
-122543	有血有	89639	189666	1	null
-122544	有血有肉	65536	122543	3	{i=1}
-122545	晒图	99761	26194	2	{v=0}
-122546	志在必行	65536	115326	3	{l=0}
-122547	全省	65536	20840	3	{n=162}
-122548	拥有	86572	25317	2	{v=158, vn=1}
-122549	戴盆	87948	25140	1	null
-122550	内战	65536	20869	3	{n=8}
-122551	教师节	65536	162484	3	{t=0}
-122552	有言在	101745	190114	1	null
-122553	有言在先	65536	122552	3	{i=0}
-122554	存单	65536	23384	3	{n=4}
-122555	旋即	65536	26059	3	{d=1}
-122556	有识之	99796	190568	1	null
-122557	在握	65536	22312	3	{v=0}
-122558	患病	83608	24739	2	{v=7, vn=1}
-122559	有识之士	65536	122556	3	{i=9, n=0}
-122560	八里	65616	20843	1	null
-122561	忽然	65536	24573	3	{d=10}
-122562	有说有	91060	190614	1	null
-122563	惶惶然	65536	113737	3	{z=1}
-122564	关连	65536	20851	3	{v=0}
-122565	有说有笑	65536	122562	3	{l=0}
-122566	廉政节	65536	116272	3	{n=2}
-122567	书面	65561	20070	2	{b=11, d=6, n=1}
-122568	敏捷	65536	25935	3	{a=3, ad=0, an=1}
-122569	厚道	65536	21402	3	{a=0}
-122570	传销	66102	20256	2	{v=3, vn=3}
-122571	有赖于	65536	190968	3	{v=4}
-122572	有起色	65536	191001	3	{l=0}
-122573	和服	65536	21644	3	{n=0}
-122574	有蹄类	65536	191206	3	{n=0}
-122575	有身子	65536	191309	3	{v=0}
-122576	有过之	96502	191593	1	null
-122577	有过之无不	101131	122582	1	null
-122578	带子	65536	24102	3	{n=1, v=0}
-122579	有生以	95964	184769	1	null
-122580	展台	65536	23637	3	{n=1}
-122581	有过之无不及	65536	122577	3	{i=1, n=0}
-122582	有过之无	102596	122576	1	null
-122583	摔打	65536	25684	3	{v=1, vn=0}
-122584	数据库	65536	152031	3	{n=12}
-122585	憋足	92813	24971	1	null
-122586	弥缝	65536	24357	3	{v=0}
-122587	有过之而无	102617	129282	1	null
-122588	坚硬	65536	22362	3	{a=6}
-122589	斋日	65536	25995	3	{t=1}
-122590	席草	65536	24109	3	{n=0}
-122591	带孝	65536	24102	3	{v=0}
-122592	子孙饭	65536	134061	3	{n=1}
-122593	冷盘	65536	20919	3	{n=0}
-122594	愠色	65536	24864	3	{n=0}
-122595	敞开	65536	25950	3	{v=19, vd=0, vn=1}
-122596	工作室	65536	149420	3	{n=1}
-122597	出去	65536	20986	3	{v=42}
-122598	有过之而无不	101150	122587	1	null
-122599	斟酌	65536	26015	3	{v=1}
-122600	有过之而无不及	65536	122598	3	{i=2, n=0}
-122601	无以复	98660	172076	1	null
-122602	有道是	65536	191733	3	{i=0, l=1}
-122603	有鉴于	95112	192278	2	{v=0}
-122604	有鉴于此	65536	122603	3	{i=3}
-122605	斟酒	65536	26015	3	{v=0}
-122606	有限公司	65536	122609	3	{n=188}
-122607	有门儿	65536	193162	3	{l=0}
-122608	有限花序	65536	135222	3	{l=0}
-122609	有限公	101110	193266	1	null
-122610	吊扇	65536	21514	3	{n=1}
-122611	各别	65536	21508	3	{a=0}
-122612	有隙可	102557	193339	1	null
-122613	有隙可乘	65536	122612	3	{i=0}
-122614	朋比为	99711	129405	1	null
-122615	朋比为奸	65536	122614	3	{i=0}
-122616	服兵役	65536	133689	3	{v=0, vn=1}
-122617	服刑犯	65536	133845	3	{n=1}
-122618	减负	66932	20943	2	{j=2, v=0, vn=0}
-122619	出发	65803	20986	2	{v=111, vn=3}
-122620	制艺	65536	21046	3	{n=0}
-122621	寺院	65536	23546	3	{n=1}
-122622	服服帖	98539	139217	1	null
-122623	影印	90939	24433	2	{v=0, vn=0}
-122624	播幅	65536	25773	3	{n=0}
-122625	服服帖帖	65536	122622	3	{z=0}
-122626	搅拌	95200	25605	2	{v=1, vn=0}
-122627	朋党	65536	26379	3	{n=0}
-122628	动用	65536	21160	3	{v=20, vn=0}
-122629	朔城区	65536	122662	3	{ns=0}
-122630	品节	65536	21697	3	{n=0}
-122631	春风化	82582	180213	1	null
-122632	拌浆	89475	25292	1	null
-122633	朔州市	65536	124214	3	{ns=0}
-122634	朗朗上	101164	123030	1	null
-122635	扑打	65536	25169	3	{v=1}
-122636	戒急	84216	25106	1	null
-122637	出口	70563	20986	2	{n=0, v=94, vn=223}
-122638	吊扣	65536	21514	3	{v=0}
-122639	朗朗上口	65536	122634	3	{i=0}
-122640	朗润园	65536	124709	3	{ns=0}
-122641	朗诵会	65536	132468	3	{n=3}
-122642	冷眉	67122	20919	1	null
-122643	御笔	65536	24481	3	{n=0}
-122644	吃喝	69700	21507	2	{v=0}
-122645	服装厂	65536	147849	3	{n=2}
-122646	望子成	97501	138471	1	null
-122647	动画	65564	21160	2	{b=2, n=0}
-122648	望城乡	65536	137573	3	{ns=0}
-122649	公案	65536	20844	3	{n=0}
-122650	出台	65536	20986	3	{v=48, vn=3}
-122651	冰砖	65536	20912	3	{n=0}
-122652	姑苏	65536	22993	3	{ns=1}
-122653	晒坪	65536	26194	3	{n=0}
-122654	有所作	102307	179938	1	null
-122655	奖赏	65536	22870	3	{n=3, v=0, vn=2}
-122656	庸者	65536	24248	3	{n=4}
-122657	军情	65536	20891	3	{n=2}
-122658	望尘比	95174	138671	1	null
-122659	嫩黄	69853	23273	2	{b=0}
-122660	善终	65536	21892	3	{v=0}
-122661	危重	65536	21361	3	{a=5}
-122662	朔城	101323	26388	1	null
-122663	扰民	65536	25200	3	{v=5, vn=2}
-122664	图例	65536	22270	3	{n=0}
-122665	教条式	65536	164877	3	{b=1, n=1}
-122666	望子成才	65536	122646	3	{i=0}
-122667	望尘比步	65536	122658	3	{l=1}
-122668	望尘莫及	65536	128761	3	{i=1}
-122669	恒康	65536	24658	3	{nz=0}
-122670	朗斯	65536	26391	3	{ns=0}
-122671	望文生	102632	141086	1	null
-122672	散兵线	65536	141595	3	{n=0}
-122673	望文生义	65536	122671	3	{i=1}
-122674	望月湖	65536	141471	3	{ns=0}
-122675	望梅止	94464	141852	1	null
-122676	望梅止渴	65536	122675	3	{i=0}
-122677	信访	66576	20449	2	{n=6}
-122678	望洋兴	101183	143010	1	null
-122679	出名	65536	20986	3	{a=4, v=0}
-122680	望洋兴叹	65536	122678	3	{i=1}
-122681	望眼欲	91323	145619	1	null
-122682	望眼欲穿	65536	122681	3	{i=1}
-122683	存取	65536	23384	3	{v=0, vn=0}
-122684	娇痴	65536	23047	3	{a=0}
-122685	望穿秋	94989	146454	1	null
-122686	拘捕	89602	25304	2	{v=2}
-122687	带宽	65536	24102	3	{n=1}
-122688	信诊	65536	20449	3	{v=1}
-122689	望穿秋水	65536	122685	3	{i=0}
-122690	暴力团	65536	149477	3	{n=2}
-122691	望而却步	65536	122696	3	{i=4}
-122692	有的是	65536	185126	3	{l=11}
-122693	冷眼	65545	20919	2	{d=1}
-122694	望而止步	65536	128822	3	{l=0}
-122695	望而生畏	65536	131315	3	{i=1}
-122696	望而却	95198	147875	1	null
-122697	望花区	65536	148552	3	{ns=0}
-122698	望远镜	65536	151923	3	{n=14}
-122699	惊险片	65536	160002	3	{n=0}
-122700	收款机	65536	168548	3	{n=1}
-122701	找寻	65536	25214	3	{v=0, vn=0}
-122702	喷枪	65536	21943	3	{n=0}
-122703	安全线	65536	147108	3	{n=1}
-122704	望都县	65536	152212	3	{ns=0}
-122705	无意间	65536	176726	3	{d=3}
-122706	望门寡	65536	153471	3	{n=0}
-122707	暴风骤	83117	167448	1	null
-122708	幸而	65536	24184	3	{d=0}
-122709	是不	95078	26159	1	null
-122710	望闻问	101717	153490	1	null
-122711	无所不在	65536	120309	3	{i=0}
-122712	拟定	65536	25311	3	{v=3, vn=0}
-122713	搜括	65536	25628	3	{v=0}
-122714	星期一	65536	157876	3	{t=1}
-122715	快餐盒	65536	156452	3	{n=0}
-122716	望闻问切	65536	122710	3	{i=0}
-122717	望风披	83965	154213	1	null
-122718	望风披靡	65536	122717	3	{i=0}
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-122720	望风而逃	65536	130238	3	{i=0}
-122721	朝三暮	100490	152996	1	null
-122722	吸铁	65555	21560	1	null
-122723	星期三	65536	157876	3	{t=1}
-122724	感谢状	65536	154953	3	{n=1}
-122725	朝三暮四	65536	122721	3	{i=0}
-122726	朝不保	99925	153000	1	null
-122727	操纵杆	65536	135974	3	{n=0}
-122728	尖峰	65536	23574	3	{n=0}
-122729	宽严	65536	23485	3	{n=1}
-122730	朝不保夕	65536	122726	3	{i=0}
-122731	朝不谋夕	65536	138132	3	{i=0}
-122732	工兵连	65536	149957	3	{n=0}
-122733	朝乾夕	97945	153113	1	null
-122734	朝乾夕惕	65536	122733	3	{i=0}
-122735	库房	65536	24211	3	{n=3}
-122736	智能型	65536	144136	3	{b=0}
-122737	朝令夕	96829	153215	1	null
-122738	是个	100440	26159	1	null
-122739	因缘	65536	22240	3	{n=0}
-122740	感觉神	81329	154352	1	null
-122741	无影灯	65536	176312	3	{n=0}
-122742	朝令夕改	65536	122737	3	{i=0}
-122743	朝发夕	89478	154476	1	null
-122744	抚摩	65536	25242	3	{v=0}
-122745	朝发夕至	65536	122743	3	{i=0}
-122746	朝夕相	99959	155824	1	null
-122747	朝夕相处	65536	122746	3	{i=3}
-122748	埃镑	65536	22467	3	{n=4, q=9}
-122749	朝天门	65536	155844	3	{ns=0}
-122750	朝思暮	97932	157624	1	null
-122751	朝思暮想	65536	122750	3	{i=0}
-122752	救灾粮	65536	148987	3	{n=1}
-122753	太阳系	65536	134229	3	{n=2}
-122754	前夕	65536	21069	3	{f=73}
-122755	挡板	65536	25377	3	{n=0}
-122756	印盒	65536	21360	3	{n=0}
-122757	朝朝暮	96474	159416	1	null
-122758	主音	65536	20027	3	{n=0}
-122759	抚摸	65536	25242	3	{v=6}
-122760	朝朝暮暮	65536	122757	3	{i=0}
-122761	前夜	65536	21069	3	{t=2}
-122762	朝气蓬	101577	160687	1	null
-122763	宣武门	65536	124758	3	{ns=0}
-122764	朝气蓬勃	65536	122762	3	{i=2}
-122765	擅长	65536	25797	3	{v=6}
-122766	保证	67203	20445	2	{n=0, v=201, vn=59}
-122767	朝秦暮	95800	164225	1	null
-122768	夹子	65536	22841	3	{n=1}
-122769	公检	65552	20844	1	null
-122770	朝秦暮楚	65536	122767	3	{i=0}
-122771	别里	67559	21035	1	null
-122772	导管	65536	23548	3	{n=0}
-122773	朝鲜战争	65536	122877	3	{n=0}
-122774	前天	65536	21069	3	{n=0, t=2}
-122775	全知	66720	20840	1	null
-122776	前夫	65536	21069	3	{n=0}
-122777	农科	65822	20892	2	{j=0, nr=1}
-122778	拨发	65536	25320	3	{v=1}
-122779	品茗	65536	21697	3	{n=0, v=2}
-122780	挤挤	65536	25380	3	{v=1}
-122781	朝阳区	65536	171470	3	{ns=20}
-122782	宝地	65536	23453	3	{n=2}
-122783	急救站	65536	151218	3	{n=0}
-122784	冰碛	65550	20912	1	null
-122785	前头	65536	21069	3	{f=3}
-122786	朝鲜民主	102760	125430	1	null
-122787	朝鲜民主主	102758	122786	1	null
-122788	妖道	65536	22934	3	{n=0}
-122789	展品	65536	23637	3	{n=6}
-122790	搏杀	65536	25615	3	{v=2, vn=2}
-122791	意气风	92212	138002	1	null
-122792	五间	65536	20116	1	null
-122793	广开门	73253	148208	1	null
-122794	印相	65746	21360	1	null
-122795	建筑群	65536	149277	3	{n=1}
-122796	显示屏	65536	141933	3	{n=5}
-122797	巧手	65536	24039	3	{n=2}
-122798	持有	65536	25345	3	{v=10, vn=1}
-122799	朝鲜民主主义	102646	122787	1	null
-122800	朝鲜民主主义人	95139	122799	1	null
-122801	全矿	65536	20840	3	{n=2}
-122802	人莫	66099	20154	1	null
-122803	明珠暗	95681	175338	1	null
-122804	朝鲜民主主义人民	101957	122800	1	null
-122805	摹拟	65536	25721	3	{v=0}
-122806	朝鲜民主主义人民共	101164	122804	1	null
-122807	园长	65536	22253	3	{n=0}
-122808	朝鲜民主主义人民共和	100542	122806	1	null
-122809	冰碴	65536	20912	3	{n=0}
-122810	品茶	65536	21697	3	{v=0}
-122811	朝鲜民主主义人民共和国	65536	122808	3	{ns=1}
-122812	前奏	65539	21069	2	{n=3}
-122813	朝鲜泡菜	65536	125638	3	{n=0}
-122814	善罢	65536	21892	1	null
-122815	期望值	65536	131866	3	{n=1}
-122816	拨号	85742	25320	2	{v=1, vn=0}
-122817	待办	65536	24453	3	{v=0}
-122818	搜捕	65536	25628	3	{v=1, vn=0}
-122819	按兵	96421	25353	1	null
-122820	期期艾	89416	131870	1	null
-122821	传闻	65536	20256	3	{n=4}
-122822	期期艾艾	65536	122820	3	{i=0}
-122823	期货价	65536	141606	3	{n=1}
-122824	朦胧诗	65536	129420	3	{n=0}
-122825	晕厥	65536	26197	3	{v=0}
-122826	愤然	65536	24868	3	{d=2}
-122827	朦朦	65536	26406	3	{z=0}
-122828	担子	65536	25285	3	{n=12}
-122829	晦气	65536	26214	3	{an=1}
-122830	原主	65536	21407	3	{n=0}
-122831	传阅	65536	20256	3	{v=1, vn=1}
-122832	木乃伊	65536	167513	3	{n=5}
-122833	岔路	65536	23700	3	{n=0}
-122834	抓丁	65536	25235	3	{v=0}
-122835	木人石	98328	167632	1	null
-122836	利落	65536	21033	3	{a=2}
-122837	有理函	96446	184488	1	null
-122838	农税	65536	20892	3	{n=1}
-122839	假钞	65536	20551	3	{n=0}
-122840	最高分	65536	151907	3	{n=1}
-122841	扫射	65536	25195	3	{v=0, vn=0}
-122842	书页	65536	20070	3	{n=0}
-122843	木人石心	65536	122835	3	{i=0}
-122844	憨痴	83803	25000	2	{n=0}
-122845	木克楞	65536	168289	3	{nz=0}
-122846	有理分	98081	184488	1	null
-122847	木制品	65536	168524	3	{n=0}
-122848	木刻水印	65536	122851	3	{l=0}
-122849	安全网	65536	147108	3	{n=3}
-122850	有效分	88013	180714	1	null
-122851	木刻水	101488	168529	1	null
-122852	圆凿	70485	22278	1	null
-122853	木化石	65536	168748	3	{n=0}
-122854	星期二	65536	157876	3	{t=0}
-122855	木偶剧	65536	168076	3	{n=0}
-122856	木卫二	65536	168833	3	{nz=13}
-122857	宝坻	65536	23453	3	{ns=0}
-122858	木变石	65536	168942	3	{n=0}
-122859	出品	65536	20986	3	{n=0, v=3}
-122860	指示植	87093	161375	1	null
-122861	木叶蝶	65536	168972	3	{n=0}
-122862	星期五	65536	157876	3	{t=1}
-122863	拟就	65536	25311	3	{v=0}
-122864	备灾	65536	22791	3	{vn=3}
-122865	制药	65947	21046	2	{v=9, vn=8}
-122866	木呆呆	65536	169052	3	{z=0}
-122867	告白	65536	21578	3	{n=0, v=0}
-122868	木地板	65536	169798	3	{n=0}
-122869	木头疙瘩	65536	132830	3	{l=0}
-122870	无可奈	99598	173366	1	null
-122871	无可奉	98330	173366	1	null
-122872	先贤	65536	20808	3	{n=1, nr=0}
-122873	撰文	65536	25776	3	{v=5, vd=0}
-122874	木字旁	65536	170861	3	{n=0}
-122875	扪心自问	65536	114951	3	{i=0}
-122876	摘帽	94158	25688	1	null
-122877	朝鲜战	102668	173111	1	null
-122878	有时候	65536	180888	3	{d=3}
-122879	木头人	65536	170314	3	{n=0}
-122880	斋月	90136	25995	2	{t=11}
-122881	挤掉	65536	25380	3	{v=1}
-122882	各区	65536	21508	3	{r=7}
-122883	放映机	65536	166696	3	{n=0}
-122884	木已成	89574	171528	1	null
-122885	木已成舟	65536	122884	3	{i=0}
-122886	懒腰	65536	25042	3	{n=0}
-122887	望风捕	98286	154213	1	null
-122888	主页	65536	20027	3	{n=6}
-122889	加把	67567	21152	1	null
-122890	木本植物	65536	122898	3	{l=0}
-122891	木本水源	65536	123705	3	{i=0}
-122892	主项	65536	20027	3	{n=1}
-122893	木栓层	65536	174121	3	{n=0}
-122894	射速	65536	23556	3	{n=0}
-122895	抓举	65536	25235	3	{v=0, vn=0}
-122896	木樨地	65536	174654	3	{ns=1}
-122897	主顾	65536	20027	3	{n=1}
-122898	木本植	93601	173890	1	null
-122899	扫尾	65536	25195	3	{v=0, vn=2}
-122900	数字式	65536	149960	3	{b=1, n=1}
-122901	木炭画	65536	176323	3	{n=0}
-122902	木棉树	65536	174303	3	{n=0}
-122903	斋期	65536	25995	3	{t=0}
-122904	木焦油	65536	176444	3	{n=0}
-122905	挖潜	65536	25366	3	{v=6, vn=2}
-122906	崖谷	65536	23830	3	{n=0}
-122907	木板床	65536	173973	3	{n=1}
-122908	半圆	66072	21322	2	{n=0}
-122909	新教派	65536	177301	3	{n=0}
-122910	帮教	65536	24110	3	{v=1, vn=0}
-122911	木煤气	65536	176506	3	{n=0}
-122912	围剿	65536	22260	3	{v=1, vn=0}
-122913	木版画	65536	176734	3	{n=0}
-122914	普天同	97244	148800	1	null
-122915	木犀肉	65536	176790	3	{n=0}
-122916	木管乐	100797	179127	1	null
-122917	木管乐器	65536	122916	3	{n=0}
-122918	木结构	65536	179945	3	{n=2}
-122919	共鸣	65777	20849	2	{v=3, vn=5}
-122920	前妻	65536	21069	3	{n=1}
-122921	宽以	81418	23485	1	null
-122922	春风吹	99773	180213	1	null
-122923	主题	65551	20027	2	{n=100}
-122924	木芙蓉	65536	180911	3	{n=0}
-122925	城信	65536	22478	3	{j=0}
-122926	木菠萝	65536	181238	3	{n=0}
-122927	层峦迭	83617	110618	1	null
-122928	批评稿	65536	142080	3	{n=1}
-122929	木螺钉	65536	182224	3	{n=0}
-122930	木雕泥	100330	186091	1	null
-122931	卖艺	65536	21334	3	{v=0}
-122932	家长里	75148	161425	1	null
-122933	在教	65536	22312	3	{v=0}
-122934	弗蒂	84503	24343	1	null
-122935	尉迟	65536	23561	3	{nr=0}
-122936	普鲁士	65536	166040	3	{n=0, ns=0}
-122937	恒心	65536	24658	3	{n=0}
-122938	原产	68993	21407	1	null
-122939	木雕泥塑	65536	122930	3	{i=0}
-122940	撩拨	65536	25769	3	{v=0, vn=0}
-122941	径自	65536	24452	3	{d=0}
-122942	木质素	65536	183614	3	{n=0}
-122943	各卷	65536	21508	3	{r=2}
-122944	戊未	65536	25098	3	{m=0}
-122945	前委	65536	21069	3	{j=3}
-122946	木马计	65536	187010	3	{n=0}
-122947	厚重	66448	21402	2	{a=7, an=2, z=0}
-122948	木麻黄	65536	188113	3	{n=0}
-122949	内控	65536	20869	3	{vn=2}
-122950	未决犯	65536	136075	3	{n=0}
-122951	奔袭	65536	22868	3	{v=0}
-122952	加拉	67587	21152	1	null
-122953	挨打	65536	25384	3	{v=2}
-122954	未卜先	92262	136500	1	null
-122955	未卜先知	65536	122954	3	{i=0}
-122956	度荒	65536	24230	3	{v=0}
-122957	原人	65536	21407	3	{n=0}
-122958	寿光鸡	65536	113993	3	{n=0}
-122959	持枪	65536	25345	3	{v=3, vd=1, vn=0}
-122960	未可厚	84213	136647	1	null
-122961	光緒	65536	20809	3	{t=0}
-122962	审查	82164	23457	2	{v=20, vn=16}
-122963	未可厚非	65536	122960	3	{i=0}
-122964	未名湖	65536	136677	3	{ns=0}
-122965	吃回	67769	21507	1	null
-122966	怒目而	77191	134669	1	null
-122967	扰流	88543	25200	1	null
-122968	出售	65536	20986	3	{v=71, vn=7}
-122969	挽救	65536	25405	3	{v=9, vn=1}
-122970	困难	71157	22256	2	{a=259, an=271, vn=0}
-122971	投标法	65536	152717	3	{n=3}
-122972	影响	90003	24433	2	{n=0, v=214, vn=325}
-122973	去除	65536	21435	3	{v=2}
-122974	引以为鉴	65536	110444	3	{i=0}
-122975	未央路	65536	137990	3	{ns=0}
-122976	坚称	65536	22362	3	{v=0}
-122977	北冰	65538	21271	1	null
-122978	无锡市	65536	190056	3	{ns=0}
-122979	坑道	72183	22353	2	{n=1}
-122980	我国	65536	25105	3	{n=1193, r=0}
-122981	场磙	65536	22330	3	{n=0}
-122982	未定稿	65536	138610	3	{n=0}
-122983	因而	65536	22240	3	{c=71}
-122984	未婚夫	65536	138290	3	{n=1}
-122985	未成年	102833	140264	2	{n=4}
-122986	屋角	65536	23627	3	{n=0}
-122987	未成年人	65536	122985	3	{n=10}
-122988	图像	65536	22270	3	{n=25}
-122989	未老先	88074	147929	1	null
-122990	借鸡	65594	20511	1	null
-122991	挨批	65536	25384	3	{v=0}
-122992	哨音	65536	21736	3	{n=1}
-122993	未来型	65536	141629	3	{b=0}
-122994	主食	65547	20027	2	{n=1}
-122995	扎什	94340	25166	1	null
-122996	国家队	65536	138133	3	{n=21}
-122997	含辛	65539	21547	1	null
-122998	未知数	65536	145853	3	{n=4}
-122999	急救箱	65536	151218	3	{n=0}
-123000	敢怒	98444	25954	1	null
-123001	哈瓦	65551	21704	1	null
-123002	未老先衰	65536	122989	3	{i=0}
-123003	未能免	102566	148181	1	null
-123004	填鸭	73519	22635	2	{n=0}
-123005	未能免俗	65536	123003	3	{i=0}
-123006	加拿	65918	21152	1	null
-123007	容纳	65536	23481	3	{v=6}
-123008	恐怖症	65536	115987	3	{n=0}
-123009	文明冲	87433	172894	1	null
-123010	夹层	78392	22841	2	{n=0}
-123011	拱柱	65536	25329	3	{n=0}
-123012	愈益	65536	24840	3	{d=1}
-123013	摄录	65536	25668	3	{j=1, v=1, vn=0}
-123014	未见得	65536	150425	3	{l=0}
-123015	各县	65536	21508	3	{r=6}
-123016	未遂犯	65536	152090	3	{n=0}
-123017	原件	65536	21407	3	{n=1}
-123018	原价	65536	21407	3	{n=3}
-123019	和棋	65536	21644	3	{n=0}
-123020	未雨绸	90469	153792	1	null
-123021	撂挑	94249	25730	1	null
-123022	审校	65536	23457	3	{v=0}
-123023	未雨绸缪	65536	123020	3	{i=5}
-123024	尽收	76946	23613	1	null
-123025	末梢神	90563	134860	1	null
-123026	末梢神经	65536	123025	3	{l=0}
-123027	口出	65542	21475	1	null
-123028	抱屈	65536	25265	3	{v=0}
-123029	分光	67982	20998	1	null
-123030	朗朗	102656	26391	2	{o=0, z=4}
-123031	宽体	65536	23485	3	{n=1}
-123032	末班车	65536	137751	3	{n=1}
-123033	本专科	93053	172108	2	{j=1}
-123034	尾矿	83292	23614	1	null
-123035	救济户	65536	148171	3	{n=0}
-123036	本专科生	65536	123033	3	{j=1}
-123037	宽余	65536	23485	3	{a=0}
-123038	各取	67847	21508	1	null
-123039	最高人民法	83502	121993	1	null
-123040	本世纪	65536	172111	3	{t=51}
-123041	摄影	94700	25668	2	{n=2, v=37, vn=29}
-123042	本主儿	65536	172148	3	{n=0}
-123043	团中	73366	22242	1	null
-123044	本乡本	100743	172186	1	null
-123045	审核	65536	23457	3	{v=9, vn=7}
-123046	本乡本土	65536	123044	3	{i=0}
-123047	本位主义	65536	123052	3	{l=0, n=0}
-123048	援建	65536	25588	3	{v=5, vn=0}
-123049	敬请指	92550	148934	1	null
-123050	您老	65536	24744	3	{r=4}
-123051	五雷	65539	20116	1	null
-123052	本位主	103006	172422	1	null
-123053	信贷	65694	20449	2	{n=42, vn=0}
-123054	姜黄	65536	23004	3	{n=0}
-123055	本位货币	65536	139160	3	{l=0}
-123056	本体论	65536	172428	3	{n=0}
-123057	夹山	77529	22841	1	null
-123058	户均	65536	25143	3	{j=8}
-123059	本分人	65536	173119	3	{n=0}
-123060	握手言欢	65536	117277	3	{i=0}
-123061	审案	65536	23457	3	{v=2, vn=0}
-123062	掺杂	96821	25530	2	{v=0}
-123063	妇科	71993	22919	2	{n=0}
-123064	分公	66689	20998	1	null
-123065	工薪阶	84614	163322	1	null
-123066	慈眉	91944	24904	1	null
-123067	本命年	65536	173750	3	{n=1}
-123068	兵连	65537	20853	1	null
-123069	扎伊	91034	25166	1	null
-123070	本固枝	89444	174387	1	null
-123071	南下	65536	21335	3	{vn=4}
-123072	各司	72146	21508	1	null
-123073	分兵	65538	20998	1	null
-123074	宝塔	81807	23453	2	{n=1}
-123075	援引	65536	25588	3	{v=11}
-123076	慕田	90103	24917	1	null
-123077	信赏	65563	20449	1	null
-123078	广告色	65536	145466	3	{n=0}
-123079	本固枝荣	65536	123070	3	{i=1}
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-123081	向钱	65615	21521	1	null
-123082	尽数	65536	23613	3	{d=1}
-123083	本土化	65536	174424	3	{v=0}
-123084	信赖	65544	20449	2	{v=10, vn=5}
-123085	助长	65536	21161	3	{v=11, vn=3}
-123086	本地化	65536	174441	3	{v=2, vn=0}
-123087	指挥所	65536	155722	3	{n=0}
-123088	本外币	65536	174927	3	{j=1}
-123089	分内	68080	20998	2	{b=0, s=0}
-123090	本家儿	65536	175599	3	{n=0}
-123091	本小利	98599	175688	1	null
-123092	摘引	65536	25688	3	{v=0}
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-123094	择校	86203	25321	1	null
-123095	新建户	65536	175670	3	{n=1}
-123096	分册	65536	20998	3	{n=1}
-123097	各向	71487	21508	1	null
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-123101	晒太	82901	26194	1	null
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-123105	南中	68617	21335	1	null
-123106	本性难	91880	176736	1	null
-123107	本性难移	65536	123106	3	{i=0}
-123108	南丰	69482	21335	2	{ns=0}
-123109	吸附	73098	21560	2	{v=0, vn=0}
-123110	本族语	65536	178184	3	{n=0}
-123111	扭力	92189	25197	2	{n=0}
-123112	本月底	65536	178497	3	{t=4}
-123113	指甲油	65536	160343	3	{n=0}
-123114	本末倒	90493	178532	1	null
-123115	本末倒置	65536	123114	3	{i=0}
-123116	本本主义	65536	123118	3	{l=0, n=0}
-123117	副词	65536	21103	3	{n=0}
-123118	本本主	103075	178533	1	null
-123119	原作	65536	21407	3	{n=4}
-123120	全社	65536	20840	3	{n=0}
-123121	本本分分	65536	124089	3	{z=0}
-123122	手头紧	65536	160822	3	{l=0}
-123123	叫醒	65536	21483	3	{v=0}
-123124	扭动	65536	25197	3	{v=1}
-123125	保质	65699	20445	2	{v=0}
-123126	廉者	65536	24265	3	{n=2}
-123127	拱桥	65536	25329	3	{n=2}
-123128	未婚妻	65536	138290	3	{n=1}
-123129	本来面	92684	178590	1	null
-123130	本来面目	65536	123129	3	{i=2}
-123131	动真	65641	21160	1	null
-123132	摩天大楼	65536	117550	3	{n=1}
-123133	本溪市	65536	180451	3	{ns=4}
-123134	书香	65918	20070	2	{n=0}
-123135	料到	65536	26009	3	{v=2}
-123136	揪斗	65536	25578	3	{v=0}
-123137	按劳	96230	25353	1	null
-123138	新疆省	65536	181442	3	{ns=0}
-123139	本职工	102829	184965	1	null
-123140	南乐	65536	21335	3	{ns=0}
-123141	执业	65536	25191	3	{v=0}
-123142	保费	65536	20445	3	{j=0, n=6}
-123143	区长	65536	21306	3	{n=2}
-123144	惯用	77685	24815	2	{v=1, vn=0}
-123145	本职工作	65536	123139	3	{n=4}
-123146	本科班	65536	183306	3	{n=1}
-123147	拦截	65536	25318	3	{v=2, vn=0}
-123148	本草纲	92707	185730	1	null
-123149	图兰	70055	22270	1	null
-123150	日照市	65536	175036	3	{ns=2}
-123151	功过	65536	21151	3	{n=2}
-123152	全神	65539	20840	1	null
-123153	本草纲目	65536	123148	3	{n=1, nz=0}
-123154	旨意	65536	26088	3	{n=0}
-123155	安居镇	65536	149889	3	{ns=0}
-123156	摘录	65536	25688	3	{v=1}
-123157	图典	65536	22270	3	{n=0}
-123158	本行业	65536	187013	3	{n=4}
-123159	本行政区	100666	129083	1	null
-123160	动眼	65549	21160	1	null
-123161	本行政区域	65536	123159	3	{n=1}
-123162	全票	65536	20840	3	{n=0}
-123163	本质论	65536	188257	3	{n=4}
-123164	札什伦	99099	123170	1	null
-123165	妖里	79256	22934	1	null
-123166	札什伦布	99626	123164	1	null
-123167	无庸讳	84693	176127	1	null
-123168	抓住	65536	25235	3	{v=110}
-123169	假门	66785	20551	1	null
-123170	札什	102902	26413	1	null
-123171	光纤	65546	20809	2	{n=10}
-123172	札什伦布寺	65536	123166	3	{ns=0}
-123173	庞贝	87394	24222	1	null
-123174	术科	65536	26415	3	{n=0}
-123175	朱古力	65536	130651	3	{n=0}
-123176	幼畜	65536	24188	3	{n=0}
-123177	图册	65536	22270	3	{n=0}
-123178	朱张桥	95354	133527	1	null
-123179	敢情	65536	25954	3	{d=0}
-123180	廉耻	65536	24265	3	{n=1}
-123181	朱张桥河	101912	123178	1	null
-123182	排污沟	65536	160021	3	{n=0}
-123183	朱张桥河北	96736	123181	1	null
-123184	扮演	82255	25198	2	{v=17}
-123185	朱张桥河北村	65536	123183	3	{ns=0}
-123186	朱张桥西河	101916	130553	1	null
-123187	朱张桥西河北	96740	123186	1	null
-123188	想不	92479	24819	1	null
-123189	朱张桥西河北村	65536	123187	3	{ns=0}
-123190	搀杂	65536	25600	3	{v=0}
-123191	朱拉隆	102041	134464	1	null
-123192	朱拉隆功	65536	123191	3	{nz=0}
-123193	前嫌	65536	21069	3	{n=0}
-123194	朱镕基	65536	147404	3	{nr=41}
-123195	朴实无	101873	123424	1	null
-123196	开发署	65536	160664	3	{n=1}
-123197	奶瓶	65536	22902	3	{n=0}
-123198	光线	65536	20809	3	{n=3}
-123199	朴实无华	65536	123195	3	{i=4}
-123200	元音	65536	20803	3	{n=0}
-123201	全福	65536	20840	3	{n=1}
-123202	朴次茅	97174	127395	1	null
-123203	尽早	65536	23613	3	{a=0, d=48}
-123204	曼妙	65536	26364	3	{a=0}
-123205	朴次茅斯	65536	123202	3	{n=0}
-123206	朴素无	101882	132002	1	null
-123207	教练机	65536	170863	3	{n=0}
-123208	朴素无华	65536	123206	3	{i=1}
-123209	宣教	68590	23459	2	{j=1, v=0}
-123210	机不可	100379	166246	1	null
-123211	情报站	65536	148258	3	{n=0}
-123212	机不可失	65536	123210	3	{i=0}
-123213	机会主	103175	166515	1	null
-123214	南亚	65536	21335	3	{j=0, n=0, ns=6}
-123215	文学士	65536	170166	3	{n=0}
-123216	机会主义	65536	123213	3	{n=2}
-123217	机关刊物	65536	123226	3	{l=0}
-123218	分分	65551	20998	1	null
-123219	机关干部	65536	126402	3	{n=29}
-123220	朵儿	65536	26421	3	{n=0}
-123221	持械	65536	25345	3	{v=0}
-123222	减轻	65536	20943	3	{v=75, vn=2}
-123223	投降派	65536	164563	3	{n=0}
-123224	机内码	65536	167134	3	{n=0}
-123225	团代	75947	22242	1	null
-123226	机关刊	93928	167116	1	null
-123227	告知	65536	21578	3	{v=13, vn=2}
-123228	无价宝	65536	172094	3	{n=0}
-123229	机制化	65536	167311	3	{v=0}
-123230	机务段	65536	167418	3	{n=3}
-123231	机器人学	65536	123315	3	{n=0}
-123232	南京	70915	21335	2	{ns=107}
-123233	品蓝	65536	21697	3	{b=0}
-123234	晦涩	65536	26214	3	{a=0, an=0}
-123235	分列	65574	20998	2	{v=5}
-123236	攻击机	65536	132001	3	{n=1}
-123237	分则	65536	20998	3	{n=7}
-123238	机器翻译	65536	135924	3	{l=0}
-123239	带工	86083	24102	1	null
-123240	巡逻车	65536	127683	3	{n=0}
-123241	光绪	65610	20809	2	{n=0, nr=0, nz=0, t=0}
-123242	机场路	65536	168595	3	{n=3}
-123243	包皮	65542	21253	2	{n=0}
-123244	拱棚	65536	25329	3	{n=1}
-123245	文明办	65536	172894	3	{j=0}
-123246	损失费	65536	119470	3	{n=2}
-123247	机帆船	65536	170335	3	{n=0}
-123248	入网	65536	20837	3	{v=14, vn=0}
-123249	损耗费	65536	129428	3	{n=0}
-123250	机械性能	65536	128195	3	{l=0}
-123251	机械运动	65536	140396	3	{l=0}
-123252	朋友	65536	26379	3	{n=158}
-123253	机灵鬼	65536	175054	3	{n=0}
-123254	机炮舱	65536	175111	3	{n=0}
-123255	分别	65536	20998	3	{d=256, v=13, vn=0}
-123256	奏鸣	74825	22863	1	null
-123257	尊贵	65536	23562	3	{a=0}
-123258	医院	65536	21307	3	{n=251}
-123259	机电井	65536	176270	3	{n=2}
-123260	区间	65576	21306	2	{n=6}
-123261	机车头	65536	182975	3	{n=0}
-123262	朽木	65536	26429	3	{nr=0}
-123263	杀一儆	92930	142192	1	null
-123264	杀一儆百	65536	123263	3	{i=0}
-123265	抵押物	65536	128502	3	{n=3}
-123266	惟独	65536	24799	3	{d=0}
-123267	助阵	65536	21161	3	{v=1}
-123268	昨夜	65536	26152	3	{t=3}
-123269	光缆	65536	20809	3	{n=11}
-123270	杀人不眨	92747	123275	1	null
-123271	杀人不眨眼	65536	123270	3	{i=0}
-123272	杀人如麻	65536	126208	3	{i=0}
-123273	杀人越货	65536	139528	3	{i=0}
-123274	杀出重	101018	143210	1	null
-123275	杀人不	92766	142378	1	null
-123276	机动性	65536	167425	3	{n=1}
-123277	杀伤力	65536	142484	3	{n=1}
-123278	杀出重围	65536	123274	3	{l=1}
-123279	团伙	74930	22242	2	{n=9}
-123280	会阴	65536	20250	3	{n=0}
-123281	昨天	65536	26152	3	{t=94}
-123282	杀回马	96746	144462	1	null
-123283	忠心	79374	24544	2	{n=1}
-123284	杀回马枪	65536	123282	3	{i=0}
-123285	杀富济	87149	145724	1	null
-123286	变型	65536	21464	3	{v=0}
-123287	成人版	65536	155916	3	{n=2}
-123288	杀富济贫	65536	123285	3	{i=0}
-123289	周岁	65536	21608	3	{n=0, q=2, t=2}
-123290	杀手锏	65536	147387	3	{n=1}
-123291	冰窖	65536	20912	3	{n=0}
-123292	杀气腾	90144	149892	1	null
-123293	忙碌	65536	24537	3	{a=14, ad=0, an=1, v=2}
-123294	杀气腾腾	65536	123292	3	{i=0}
-123295	杀蚊剂	65536	156666	3	{n=0}
-123296	待命	65536	24453	3	{v=3}
-123297	杀虫剂	65536	156635	3	{n=0}
-123298	全称	65536	20840	3	{n=0}
-123299	杀身之	92206	158747	1	null
-123300	冰窟	65536	20912	3	{n=0}
-123301	房地产热	65536	114384	3	{n=2}
-123302	杀身之祸	65536	123299	3	{l=0}
-123303	五音	65536	20116	3	{n=0}
-123304	杀身成仁	65536	128360	3	{i=0}
-123305	杀风景	65536	161342	3	{i=0}
-123306	杀鸡取卵	65536	123307	3	{i=0}
-123307	杀鸡取	101941	162705	1	null
-123308	暂且	65536	26242	3	{d=0}
-123309	杀鸡吓猴	65536	123368	3	{i=0}
-123310	杂七杂	102469	158887	1	null
-123311	化装	67733	21270	2	{v=0, vd=0, vn=1}
-123312	杂七杂八	65536	123310	3	{i=1}
-123313	杂乱无	91864	158997	1	null
-123314	将要	65536	23558	3	{d=17}
-123315	机器人	99833	168385	2	{n=6}
-123316	晴天	82825	26228	2	{n=4}
-123317	控告权	65536	117689	3	{n=0}
-123318	套包	65536	22871	3	{n=0}
-123319	政治化	65536	159752	3	{v=0}
-123320	杂乱无章	65536	123313	3	{i=2}
-123321	摊子	65536	25674	3	{n=8}
-123322	文学奖	65536	170166	3	{n=8}
-123323	旺季	65536	26106	3	{n=5}
-123324	杂交育种	65536	125156	3	{l=0}
-123325	全程	65536	20840	3	{n=5}
-123326	分割	65541	20998	2	{v=12, vn=2}
-123327	城关	65536	22478	3	{n=0, ns=4, nz=1}
-123328	忍痛	90987	24525	2	{d=3}
-123329	杂和菜	65536	160560	3	{n=0}
-123330	倒闭	65614	20498	2	{v=37, vn=8}
-123331	挨揍	65536	25384	3	{v=0}
-123332	惨不	88944	24808	1	null
-123333	找平	65536	25214	3	{v=0}
-123334	展团	65536	23637	3	{j=2, n=0}
-123335	杂志社	65536	163451	3	{n=15}
-123336	杂拌儿	65536	164208	3	{n=0}
-123337	团体	70480	22242	2	{n=89}
-123338	中银	65536	20013	3	{j=0, nz=3}
-123339	披沙	90287	25259	1	null
-123340	杂文集	65536	164907	3	{n=0}
-123341	区际	65536	21306	3	{n=1}
-123342	中铺	65536	20013	3	{n=0}
-123343	广东音	89506	143884	1	null
-123344	光网	65536	20809	3	{n=0}
-123345	城内	65536	22478	3	{s=3}
-123346	杂用品	65536	168908	3	{n=0}
-123347	杂花生	96717	172373	1	null
-123348	杂牌军	65536	168176	3	{n=0}
-123349	圆台	65536	22278	3	{n=0}
-123350	倒阁	65536	20498	3	{v=0}
-123351	半壁	65564	21322	2	{n=0}
-123352	宣旨	65536	23459	3	{v=0}
-123353	按压	65536	25353	3	{v=0}
-123354	冷科	65536	20919	3	{nz=0}
-123355	减退	65536	20943	3	{v=3}
-123356	圆号	65536	22278	3	{n=0}
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-123360	杂草丛	93379	172525	1	null
-123361	杂技团	65536	164132	3	{n=19}
-123362	杂草丛生	65536	123360	3	{l=1}
-123363	感谢电	65536	154953	3	{n=0}
-123364	杂货店	65536	175051	3	{n=0}
-123365	权力电	65536	134042	3	{n=1}
-123366	抵京	65536	25269	3	{v=12, vn=0}
-123367	分力	65536	20998	3	{n=0}
-123368	杀鸡吓	93817	162705	1	null
-123369	吊放	65536	21514	3	{v=0}
-123370	权势电	65536	134078	3	{n=2}
-123371	杂食兽	65536	178051	3	{n=0}
-123372	北医	66084	21271	1	null
-123373	权威性	65536	135936	3	{n=10}
-123374	戒指	65536	25106	3	{n=3}
-123375	扫帚	92203	25195	2	{n=2}
-123376	把头	65536	25226	3	{n=0}
-123377	冲量	65536	20914	3	{n=0}
-123378	文艺兵	65536	180170	3	{n=1}
-123379	权宜之	87635	136347	1	null
-123380	权宜之计	65536	123379	3	{i=2}
-123381	奶疮	65536	22902	3	{n=0}
-123382	权欲熏	98877	140337	1	null
-123383	在望	65536	22312	3	{v=2}
-123384	前宋	65849	21069	1	null
-123385	在朝	76048	22312	1	null
-123386	减速	67749	20943	2	{v=6, vn=1}
-123387	北半	65558	21271	1	null
-123388	握有	65536	25569	3	{v=4}
-123389	既是	65536	26082	3	{c=0, v=0}
-123390	卫生部	65561	104874	2	{n=1, nt=17}
-123391	杂交种	65536	159048	3	{n=0}
-123392	权欲熏心	65536	123382	3	{l=0}
-123393	杉山	65536	26441	3	{nr=0}
-123394	拦挡	65536	25318	3	{v=0}
-123395	军控	65536	20891	3	{j=1, v=0, vn=0}
-123396	李先念	65536	127105	3	{nr=1}
-123397	李克强	65536	127108	3	{nr=500}
-123398	李四光	65536	128532	3	{nr=8}
-123399	李大钊	65536	129120	3	{nr=0}
-123400	晴好	65536	26228	3	{a=2, v=0}
-123401	扑救	65536	25169	3	{n=0, v=0, vn=0}
-123402	李岗村	65536	130000	3	{ns=0}
-123403	李宁杯	65536	129722	3	{nz=2}
-123404	李岚清	65536	130003	3	{nr=122}
-123405	李时珍	65536	132399	3	{nr=0}
-123406	李家峡	65536	129775	3	{ns=0}
-123407	公款	66107	20844	2	{n=62}
-123408	不齿	65536	19981	3	{v=0}
-123409	李沟村	65536	134104	3	{ns=0}
-123410	北卡	65547	21271	1	null
-123411	李沧区	65536	134112	3	{ns=2}
-123412	李瑞环	65536	136087	3	{nr=43}
-123413	李铁映	65536	144378	3	{nr=48}
-123414	慢性	90521	24930	2	{b=4, d=1}
-123415	十番	69431	21313	1	null
-123416	杏元屯	65536	124688	3	{ns=0}
-123417	杏核眼	65536	130565	3	{n=0}
-123418	杏花村	85205	137342	2	{ns=0, nz=0}
-123419	困顿	65536	22256	3	{a=0, an=0}
-123420	杏花村镇	65536	123418	3	{ns=0}
-123421	封建迷	86152	133191	1	null
-123422	州长	65536	24030	3	{n=6}
-123423	杏黄色	65536	144529	3	{n=1}
-123424	朴实	97115	26420	2	{a=8, an=1}
-123425	套印	74792	22871	2	{vn=0}
-123426	会集	65536	20250	3	{v=0}
-123427	材料力学	65536	123432	3	{n=0}
-123428	材料	102285	26448	2	{n=94}
-123429	材积表	65536	128634	3	{n=0}
-123430	教科所	65536	169597	3	{j=0}
-123431	出国	67976	20986	2	{v=19, vn=4}
-123432	材料力	100029	123428	1	null
-123433	只限	65536	21482	3	{p=0, v=0}
-123434	村主任	65536	159246	3	{n=0}
-123435	斑块	65536	26001	3	{n=0}
-123436	村党委	65536	160045	3	{n=0}
-123437	村农民	65536	160111	3	{n=1}
-123438	杏仁茶	65536	124046	3	{n=0}
-123439	杆儿	65536	26438	3	{n=0}
-123440	村务公	99126	160372	1	null
-123441	微观粒	88172	154244	1	null
-123442	半夜	70516	21322	2	{t=1}
-123443	奉行	65536	22857	3	{v=12}
-123444	公正	65665	20844	2	{a=39, ad=6, an=2, ns=0, v=0, vn=0}
-123445	岔道	65536	23700	3	{n=0}
-123446	村务公开	65536	123440	3	{l=5}
-123447	村委会	65536	162215	3	{j=17, n=6}
-123448	村容村	87474	162700	1	null
-123449	杂技场	65536	164132	3	{n=2}
-123450	内斜	65570	20869	1	null
-123451	养鱼	67724	20859	2	{n=0, v=5, vn=1}
-123452	本科生	65536	183306	3	{n=0}
-123453	半大	65536	21322	3	{b=1}
-123454	村容村貌	65536	123448	3	{l=1}
-123455	半天	65560	21322	2	{m=0, t=0}
-123456	体院	65536	20307	3	{j=1}
-123457	村干部	65536	163397	3	{n=45}
-123458	吊斗	65536	21514	3	{n=0}
-123459	效仿	65536	25928	3	{v=1}
-123460	村提留	65536	164771	3	{n=1}
-123461	工人贵	82069	149258	1	null
-123462	善自	75069	21892	1	null
-123463	扉页	65536	25161	3	{n=1}
-123464	扫平	65536	25195	3	{v=0}
-123465	出土	65543	20986	2	{v=6, vn=0}
-123466	捕猎	65536	25429	3	{v=0, vn=0}
-123467	向阳	65641	21521	2	{nr=1, ns=0, nz=0, v=1, vn=0}
-123468	传颂	65536	20256	3	{v=2}
-123469	圆周	67414	22278	2	{n=0}
-123470	村村户户	65536	123478	3	{l=1, n=0}
-123471	别针	65536	21035	3	{n=0}
-123472	五颜	65601	20116	1	null
-123473	分包	65536	20998	3	{v=0}
-123474	入耳	65536	20837	3	{a=0, v=0}
-123475	中长	65577	20013	1	null
-123476	村支书	65536	165122	3	{n=5}
-123477	村村落落	65536	132188	3	{n=3}
-123478	村村户	98327	165668	1	null
-123479	村里人	65536	176543	3	{n=5}
-123480	岳阳道	65536	127047	3	{ns=0}
-123481	拷纱	65536	25335	3	{n=0}
-123482	杖头	97077	26454	1	null
-123483	南侧	65536	21335	3	{f=0, s=0}
-123484	先辈	65536	20808	3	{n=3}
-123485	杖头木	102889	123482	1	null
-123486	挥动	65536	25381	3	{v=5}
-123487	杖头木偶	65536	123485	3	{l=0}
-123488	听由	65536	21548	3	{v=1}
-123489	文献片	65536	176254	3	{n=0}
-123490	分化	65541	20998	2	{v=16, vn=13}
-123491	恍若	65536	24653	3	{v=1}
-123492	出场	65536	20986	3	{v=11, vn=0}
-123493	场站	65536	22330	3	{n=4}
-123494	夹带	65536	22841	3	{v=0}
-123495	无私无	90209	183048	1	null
-123496	杜塞尔	100688	130161	1	null
-123497	前导	65536	21069	3	{n=0, v=0}
-123498	杜塞尔多	100672	123496	1	null
-123499	杜塞尔多夫	65536	123498	3	{ns=0}
-123500	华欣	65536	21326	3	{ns=2}
-123501	杂交稻	65536	159048	3	{n=4}
-123502	杜尔伯	94198	131111	1	null
-123503	杜尔伯特	65536	123502	3	{ns=0}
-123504	杜尚别	65536	131117	3	{ns=2}
-123505	杜洛克	65536	135470	3	{nz=0}
-123506	工商行	65536	150934	3	{j=1}
-123507	杜菜园	65536	141295	3	{ns=0}
-123508	己申	65536	24049	3	{m=0}
-123509	掩护	65536	25513	3	{v=1, vn=3}
-123510	昂泰	65536	26114	3	{nz=0}
-123511	布鲁金	82777	157657	1	null
-123512	杜门谢	100055	145915	1	null
-123513	杜门谢客	65536	123512	3	{i=0}
-123514	杜鹃花	65536	148054	3	{n=0}
-123515	有利可	99871	175819	1	null
-123516	口口	69876	21475	1	null
-123517	全立	67430	20840	1	null
-123518	杞人忧	100709	123528	1	null
-123519	光耀	65536	20809	3	{n=1, nr=0, v=0}
-123520	抽象派	65536	159359	3	{n=0}
-123521	户外	65536	25143	3	{s=7}
-123522	循环系	78972	119776	1	null
-123523	冷空	65560	20919	1	null
-123524	拔剑	65536	25300	3	{v=1}
-123525	前尘	65536	21069	3	{n=0}
-123526	分区	65536	20998	3	{n=0, v=1, vn=1}
-123527	套取	65536	22871	3	{v=0}
-123528	杞人	98967	26462	1	null
-123529	有生力	85108	184769	1	null
-123530	吉田	65536	21513	3	{nr=0}
-123531	全站	65536	20840	3	{n=2}
-123532	当事者	65536	150363	3	{n=0}
-123533	存在	67618	23384	2	{v=243, vn=18}
-123534	杞人忧天	65536	123518	3	{i=1}
-123535	慢悠	89157	24930	1	null
-123536	口号	65536	21475	3	{n=23}
-123537	束之	83904	26463	1	null
-123538	先达	65536	20808	3	{nz=0}
-123539	政治史	65536	159752	3	{n=2}
-123540	无穷无	96638	183230	1	null
-123541	十痨	69419	21313	1	null
-123542	养鳗	65536	20859	3	{v=0}
-123543	刀锋	65536	20992	3	{n=0}
-123544	束之高	85145	123537	1	null
-123545	料及	65536	26009	3	{v=0}
-123546	束之高阁	65536	123544	3	{i=0}
-123547	假面	66484	20551	1	null
-123548	口吃	65536	21475	3	{v=0}
-123549	向隅	65824	21521	1	null
-123550	吃大	67814	21507	1	null
-123551	户头	65536	25143	3	{n=15}
-123552	拷绸	65536	25335	3	{n=0}
-123553	束手就擒	65536	123606	3	{i=0}
-123554	束手待毙	65536	124458	3	{i=0}
-123555	拉帮结派	65536	115828	3	{l=3}
-123556	束手无策	65536	126085	3	{i=4}
-123557	公比	65536	20844	3	{n=0}
-123558	导纳	65536	23548	3	{n=0}
-123559	束手束脚	65536	126468	3	{l=0}
-123560	无理式	65536	181581	3	{n=0}
-123561	含量	65536	21547	3	{n=46, v=1}
-123562	拼争	65536	25340	3	{v=1, vn=0}
-123563	含金	65616	21547	1	null
-123564	束流线	65536	131463	3	{n=0}
-123565	条件刺激	65536	123596	3	{l=0}
-123566	慰问电	65536	131231	3	{n=23}
-123567	先进	66009	20808	2	{a=333, an=0, n=25}
-123568	告示	65653	21578	2	{n=0}
-123569	条件反射	65536	123999	3	{l=0}
-123570	导线	65536	23548	3	{n=15}
-123571	力阻	65536	21147	3	{v=1}
-123572	条分缕	97069	153123	1	null
-123573	加收	65536	21152	3	{v=5, vn=0}
-123574	冰箱	65536	20912	3	{n=12}
-123575	惯盗	65536	24815	3	{n=0}
-123576	拟建	65536	25311	3	{v=0}
-123577	无论是	65536	187649	3	{c=32}
-123578	昌平	99350	26124	2	{ns=1}
-123579	刀锯	65536	20992	3	{n=0}
-123580	操之	80951	25805	1	null
-123581	条分缕析	65536	123572	3	{i=0}
-123582	会面	65536	20250	3	{v=3, vn=0}
-123583	北后	65536	21271	3	{j=0}
-123584	入股	65536	20837	3	{v=21, vn=0}
-123585	文明史	65536	172894	3	{n=4}
-123586	杠子	65536	26464	3	{n=0}
-123587	分卷	65536	20998	3	{n=0, v=2}
-123588	无庸赘	83181	176127	1	null
-123589	曾祖父	65536	132373	3	{n=0}
-123590	文明号	65536	172894	3	{n=4}
-123591	星期六	65536	157876	3	{t=6}
-123592	中间	65792	20013	2	{f=29, s=0}
-123593	条块分割	65536	123594	3	{l=9}
-123594	条块分	102487	154484	1	null
-123595	善良	65536	21892	3	{a=7, an=0}
-123596	条件刺	94957	152339	1	null
-123597	化解	65536	21270	3	{v=25, vn=0}
-123598	分厂	65536	20998	3	{n=7}
-123599	条块结合	65536	135063	3	{l=1}
-123600	条形码	65536	156543	3	{n=0}
-123601	条条块	101249	158590	1	null
-123602	抹掉	65536	25273	3	{v=1}
-123603	方寸已	99521	164408	1	null
-123604	口吻	65536	21475	3	{n=0}
-123605	无名小	98595	173396	1	null
-123606	束手就	97743	128657	1	null
-123607	既有	87934	26082	2	{c=0, v=0, vn=1}
-123608	条条块块	65536	123601	3	{l=0}
-123609	尸身	65536	23608	3	{n=0}
-123610	条条框框	65536	127936	3	{n=1}
-123611	原先	65536	21407	3	{b=5, d=13, t=0}
-123612	条理性	65536	161827	3	{n=1}
-123613	无性生	92529	176494	1	null
-123614	倒霉	65536	20498	3	{a=2, an=0}
-123615	国际音	69841	153124	1	null
-123616	条纹布	65536	164566	3	{n=0}
-123617	来不及	65536	162614	3	{v=10}
-123618	公民	65707	20844	2	{n=51}
-123619	元首	65536	20803	3	{n=28}
-123620	分厘	66845	20998	1	null
-123621	北吴	65885	21271	1	null
-123622	抛光片	65536	116810	3	{n=0}
-123623	暂住	85819	26242	2	{v=1, vn=0}
-123624	墨玉	76448	22696	1	null
-123625	来之不	97496	162676	1	null
-123626	影坛	65536	24433	3	{n=3}
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-123628	来亨鸡	65536	162769	3	{n=0}
-123629	来兴府	65536	163485	3	{ns=0}
-123630	来势汹	95867	163816	1	null
-123631	加数	65536	21152	3	{n=0}
-123632	忽略	65536	24573	3	{v=3, vn=0}
-123633	八闽	65536	20843	3	{j=0}
-123634	来信版	65536	163082	3	{n=6}
-123635	中队	65539	20013	2	{n=24}
-123636	来势汹汹	65536	123630	3	{i=1}
-123637	奶皮	65536	22902	3	{n=0}
-123638	来历不	97514	164015	1	null
-123639	掏空	65536	25487	3	{v=0}
-123640	来历不明	65536	123638	3	{l=1}
-123641	来回票	65536	164871	3	{n=0}
-123642	来复枪	65536	165430	3	{nz=0}
-123643	全等	65546	20840	1	null
-123644	来宾席	65536	166119	3	{n=0}
-123645	在校	66893	22312	2	{b=7, v=0, vn=3}
-123646	图卡	76319	22270	1	null
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-123648	来得及	65536	167104	3	{v=3}
-123649	来料加	99613	168642	1	null
-123650	来料加工	65536	123649	3	{l=2}
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-123665	孤寂	65536	23396	3	{a=5, an=1}
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-123668	受奖	65536	21463	3	{v=1, vn=0}
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-123677	分发	65536	20998	3	{v=5, vn=2}
-123678	来路不	97554	178968	1	null
-123679	愧色	65536	24871	3	{n=0}
-123680	来路不明	65536	123678	3	{i=0}
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-123682	来踪去	86833	179027	1	null
-123683	扎兰	90944	25166	1	null
-123684	在案	65536	22312	3	{v=2}
-123685	寨里	65536	23528	3	{n=0}
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-123688	拳击	91043	25331	2	{n=2}
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-123690	来踪去迹	65536	123682	3	{i=0}
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-123692	来龙去脉	65536	123691	3	{i=0}
-123693	杨伙盘	65536	135868	3	{ns=0}
-123694	扁舟	65536	25153	3	{n=0}
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-123696	孤寡	70743	23396	1	null
-123697	分句	65536	20998	3	{n=0}
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-123699	既来	100340	26082	1	null
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-123708	杨振宁	65536	141010	3	{nr=1}
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-123711	党锢	65536	20826	3	{n=0}
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-123719	杨家乡	65536	139097	3	{ns=0}
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-123721	敬请斧	91005	148934	1	null
-123722	杨花台	97274	149076	1	null
-123723	杨花台村	65536	123722	3	{ns=4}
-123724	摸清	65536	25720	3	{a=0, v=13}
-123725	五香	65536	20116	2	{b=0}
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-123727	杭嘉湖	65536	124697	3	{ns=1}
-123728	杭州市	65536	126702	3	{ns=10}
-123729	慢慢	92379	24930	2	{d=16}
-123730	杯弓蛇	99298	124712	1	null
-123731	杯弓蛇影	65536	123730	3	{i=0}
-123732	杯水车	89515	128073	1	null
-123733	杯水车薪	65536	123732	3	{i=1}
-123734	机械人	65536	173065	3	{n=0}
-123735	杯盘狼	89488	130797	1	null
-123736	华氏	65536	21326	3	{b=0}
-123737	杯盘狼藉	65536	123735	3	{i=0}
-123738	变奏	66227	21464	1	null
-123739	杰伊汉	65536	123793	3	{ns=0}
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-123741	影城	65536	24433	3	{n=0}
-123742	冬闲	65536	20908	3	{n=3}
-123743	司长	65805	21496	2	{n=24}
-123744	播报	65536	25773	3	{v=1}
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-123746	杳如黄	83200	123740	1	null
-123747	城北	65536	22478	3	{ns=0}
-123748	杳如黄鹤	65536	123746	3	{i=0}
-123749	杯子	65536	26479	3	{n=2}
-123750	杳无人烟	65536	123751	3	{i=0}
-123751	杳无人	94855	126906	1	null
-123752	拘板	65536	25304	3	{a=0}
-123753	杳无消息	65536	131637	3	{i=0}
-123754	挨整	65536	25384	3	{v=0}
-123755	处心	67657	22788	1	null
-123756	杳无踪迹	65536	139991	3	{i=0}
-123757	放射病	65536	164108	3	{n=0}
-123758	文件柜	65536	166982	3	{n=0}
-123759	松口鞋	65536	165621	3	{n=0}
-123760	总工程	88697	157232	1	null
-123761	壮美	65536	22766	3	{a=3, an=0}
-123762	化学键	65536	111696	3	{n=0}
-123763	松土机	65536	166449	3	{n=0}
-123764	抵债	65536	25269	3	{v=0}
-123765	杳无音信	65536	142496	3	{i=1}
-123766	松墙子	65536	166827	3	{n=0}
-123767	杭剧	65536	26477	3	{n=0}
-123768	市场观	65536	137730	3	{n=1}
-123769	全篇	65536	20840	3	{n=0}
-123770	施工期	65536	138023	3	{n=0}
-123771	撑杆	81308	25745	1	null
-123772	光能	65536	20809	3	{n=0}
-123773	松子糖	65536	167522	3	{n=0}
-123774	松岗镇	65536	167849	3	{ns=0}
-123775	控制力	65536	117157	3	{n=8}
-123776	吸食	65536	21560	3	{v=1}
-123777	口哨	65536	21475	3	{n=0}
-123778	松松垮垮	65536	123784	3	{z=0}
-123779	太阳能	65536	134229	3	{n=3}
-123780	化学镀	65536	111696	3	{n=0}
-123781	光脆	65593	20809	1	null
-123782	城区	65536	22478	3	{n=36, s=0}
-123783	挥发	91896	25381	2	{v=1, vn=0}
-123784	松松垮	101332	170640	1	null
-123785	捐款	84955	25424	2	{n=17, v=80, vn=3}
-123786	松松散散	65536	127293	3	{z=0}
-123787	拍卖法	65536	128541	3	{n=5}
-123788	周年	65536	21608	3	{q=128}
-123789	挨斗	65536	25384	3	{v=0}
-123790	松果体素	65536	123796	3	{n=0}
-123791	有所不同	65536	122319	3	{l=6}
-123792	无私有	95911	183048	1	null
-123793	杰伊	96018	26480	1	null
-123794	印章	67753	21360	2	{n=1}
-123795	有意无	97448	179633	1	null
-123796	松果体	91758	170670	1	null
-123797	松柏乡	65536	170721	3	{ns=0}
-123798	单于	65536	21333	3	{nr=0}
-123799	冰粒	65536	20912	3	{n=1}
-123800	松毛虫	65536	171757	3	{n=0}
-123801	光脚	65636	20809	1	null
-123802	松江县	65536	171889	3	{ns=1}
-123803	军政	66397	20891	2	{j=0, n=17}
-123804	周庄	65536	21608	3	{ns=0}
-123805	委靡	82828	22996	1	null
-123806	冬防	65536	20908	3	{n=0}
-123807	兴衰	66187	20852	2	{n=5, v=1, vn=0}
-123808	松滋市	65536	172509	3	{ns=0}
-123809	奖金	65536	22870	3	{n=23}
-123810	接踵而至	65536	117004	3	{i=4}
-123811	危陋	67008	21361	1	null
-123812	映射	65536	26144	3	{v=1}
-123813	新人新	99153	171510	1	null
-123814	公法	65536	20844	3	{n=0}
-123815	松焦油	65536	173112	3	{n=0}
-123816	松紧带	65536	176185	3	{n=0}
-123817	松节油	65536	177556	3	{n=0}
-123818	减量	65536	20943	3	{v=1}
-123819	内服	65541	20869	2	{v=0}
-123820	原则	66699	21407	2	{d=4, n=268}
-123821	出境	65536	20986	3	{v=12, vn=3}
-123822	松花江	65536	177603	3	{ns=7, nz=1}
-123823	单产	65536	21333	3	{n=7, v=0}
-123824	原初	65536	21407	3	{d=1}
-123825	李家庄	65536	129775	3	{ns=0}
-123826	松貂鼠	65536	180116	3	{n=0}
-123827	宜都	65536	23452	3	{n=0}
-123828	朝鲜族	65536	173111	3	{nz=20}
-123829	普通型	65536	162865	3	{b=0, n=1}
-123830	冷箭	65536	20919	3	{n=0}
-123831	原判	65536	21407	3	{n=0}
-123832	喷气	70974	21943	2	{b=0, v=0, vn=0}
-123833	抵偿	65536	25269	3	{v=0}
-123834	单亲	65536	21333	3	{b=0}
-123835	松赞干	99770	180336	1	null
-123836	中雨	65536	20013	3	{n=0}
-123837	松赞干布	65536	123835	3	{nr=0}
-123838	巴拉那	80681	148264	1	null
-123839	拟态	65536	25311	3	{n=0}
-123840	孤山	65536	23396	3	{n=0}
-123841	危险	71109	21361	2	{a=18, ad=0, an=29, n=0, vn=0}
-123842	单人	66418	21333	2	{b=4}
-123843	关铝	65536	20851	3	{j=0, nz=0}
-123844	松鼠猴	65536	184882	3	{n=0}
-123845	各国	65536	21508	3	{n=0, r=182}
-123846	松香水	65536	183467	3	{n=0}
-123847	板上钉	85837	153680	1	null
-123848	司门	71864	21496	1	null
-123849	信道	65536	20449	3	{n=1}
-123850	攀上	65536	25856	3	{v=1}
-123851	卡纳	70283	21345	1	null
-123852	扑朔	77791	25169	1	null
-123853	操作	96447	25805	2	{v=34, vn=31}
-123854	保送	65589	20445	2	{v=0}
-123855	担当	65536	25285	3	{v=9}
-123856	木板房	65536	173973	3	{n=0}
-123857	初版	65536	21021	3	{n=1}
-123858	将计	83056	23558	1	null
-123859	厂部	65536	21378	3	{n=1}
-123860	和气	65536	21644	3	{a=1, ad=0, an=0}
-123861	围嘴	65536	22260	3	{n=0}
-123862	板上钉钉	65536	123847	3	{i=0}
-123863	利血	65751	21033	1	null
-123864	喷水	67561	21943	2	{v=0}
-123865	板房沟	65536	158853	3	{ns=2}
-123866	冰糕	65536	20912	3	{n=0}
-123867	冰糖	65536	20912	2	{n=1}
-123868	板羽球	65536	166403	3	{n=0}
-123869	昼夜	65536	26172	3	{d=6, n=12, q=0}
-123870	印第	67719	21360	1	null
-123871	无绳电	84465	184378	1	null
-123872	养鸡	65603	20859	2	{v=9, vn=0}
-123873	板荡识	88074	167335	1	null
-123874	华沙	65536	21326	3	{ns=10}
-123875	杰作	65536	26480	3	{n=4}
-123876	板荡识诚	90628	123873	1	null
-123877	挠痒	65536	25376	3	{v=0}
-123878	医风	65536	21307	3	{n=1}
-123879	板荡识诚臣	65536	123876	3	{i=0}
-123880	无所不容	65536	120309	3	{i=0}
-123881	扎制	65536	25166	3	{v=1}
-123882	孤岛	65536	23396	3	{n=2}
-123883	散文热	65536	146733	3	{n=2}
-123884	养鸭	65587	20859	1	null
-123885	升调	65536	21319	3	{n=0}
-123886	城厢	65648	22478	2	{n=0, ns=1}
-123887	板蓝根	65536	167715	3	{n=0}
-123888	暑天	65536	26257	3	{t=0}
-123889	吊杆	65536	21514	3	{n=0}
-123890	板门店	65536	172078	3	{n=0, ns=0}
-123891	完税	65536	23436	3	{v=1}
-123892	暂停	65536	26242	3	{v=11, vn=1}
-123893	极乐世	93870	148184	1	null
-123894	想像	92373	24819	2	{v=0}
-123895	宝安	84168	23453	2	{ns=0}
-123896	各地	65536	21508	3	{r=289}
-123897	南充	66844	21335	2	{ns=0}
-123898	极乐世界	65536	123893	3	{i=0}
-123899	拥有量	65536	122548	3	{n=2}
-123900	极右翼	65536	149627	3	{b=1, j=0, n=1}
-123901	极大值	65536	150959	3	{n=0}
-123902	极权主	103863	154571	1	null
-123903	单价	65536	21333	3	{n=1}
-123904	极权主义	65536	123902	3	{l=0, n=0}
-123905	担待	65536	25285	3	{v=0}
-123906	摹本	65536	25721	3	{n=1}
-123907	夹心	69119	22841	2	{b=0}
-123908	极目四	97514	158582	1	null
-123909	极目四望	65536	123908	3	{l=0}
-123910	极目眺望	65536	132195	3	{i=0}
-123911	极目远眺	65536	138501	3	{i=1}
-123912	有法可	102027	182647	1	null
-123913	极而言	103875	160916	1	null
-123914	双亲	65536	21452	3	{n=4}
-123915	宝宝	65536	23453	3	{n=1}
-123916	把子	65536	25226	3	{n=0}
-123917	扯皮	65536	25199	3	{v=0, vn=0}
-123918	极而言之	65536	123913	3	{l=0}
-123919	极负盛	88455	164263	1	null
-123920	极负盛誉	65536	123919	3	{l=0}
-123921	映山	88674	26144	1	null
-123922	双人	68221	21452	2	{b=12}
-123923	抛洒	65536	25243	3	{v=1}
-123924	关键	65925	20851	2	{a=67, ad=0, an=0, d=0, n=130, v=0}
-123925	军方	65536	20891	3	{n=5}
-123926	危难	65536	21361	3	{n=5}
-123927	构筑物	65536	135452	3	{n=8}
-123928	尿频	65536	23615	3	{v=0}
-123929	构词法	65536	139672	3	{n=0}
-123930	文学家	65536	170166	3	{n=2}
-123931	构造地	85269	140779	1	null
-123932	构造地震	65536	123931	3	{l=0}
-123933	党阀	65536	20826	3	{n=0}
-123934	控制区	65536	117157	3	{n=2}
-123935	构造运动	65536	138427	3	{l=0}
-123936	五马	65550	20116	1	null
-123937	军旅	65536	20891	3	{n=23}
-123938	太阳膜	65536	134229	3	{n=0}
-123939	构配件	65536	141080	3	{n=0}
-123940	完稿	65536	23436	3	{v=0}
-123941	包票	65536	21253	3	{n=0}
-123942	中青	65549	20013	1	null
-123943	南关	69616	21335	2	{ns=1}
-123944	南兴	65571	21335	1	null
-123945	枇杷	65536	26503	3	{n=0}
-123946	会风	65536	20250	3	{n=0}
-123947	枉己正	103799	123948	1	null
-123948	枉己	96456	26505	1	null
-123949	望子成材	65536	122646	3	{l=1}
-123950	出处	65536	20986	3	{n=1}
-123951	城口	76128	22478	1	null
-123952	妙计	65536	22937	3	{n=0}
-123953	枉己正人	65536	123947	3	{i=0}
-123954	中非	65569	20013	2	{ns=24}
-123955	军旗	65536	20891	3	{n=2, nr=0}
-123956	寻甸	65536	23547	3	{ns=0}
-123957	枉费唇	90666	136052	1	null
-123958	枉费唇舌	65536	123957	3	{i=0}
-123959	枉费心机	65536	126705	3	{i=0}
-123960	初犯	65536	21021	3	{v=1, vn=0}
-123961	华泰	65536	21326	3	{nz=0}
-123962	内果	65538	20869	1	null
-123963	原动	70168	21407	1	null
-123964	救国救	90608	142458	1	null
-123965	中革	65542	20013	1	null
-123966	旱烟袋	65536	143089	3	{n=0}
-123967	担心	65536	25285	3	{v=32, vn=7}
-123968	出外	65536	20986	3	{v=1}
-123969	枕头箱	65536	124042	3	{n=0}
-123970	枕戈待	97888	126302	1	null
-123971	摘抄	65536	25688	3	{v=4}
-123972	把守	65536	25226	3	{v=1}
-123973	析出	65536	26512	3	{v=1}
-123974	枕戈待旦	65536	123970	3	{i=0}
-123975	愁眉	93621	24833	1	null
-123976	公海	65536	20844	3	{n=0}
-123977	妙论	65536	22937	3	{n=0}
-123978	枕边风	65536	137999	3	{n=0}
-123979	松香油	65536	183467	3	{n=0}
-123980	未来学	65536	141629	3	{n=0}
-123981	嫁鸡	65933	23233	1	null
-123982	林业厅	65536	156013	3	{n=2}
-123983	妙诀	65536	22937	3	{n=0}
-123984	影壁	65536	24433	3	{n=0}
-123985	敲定	65536	25970	3	{v=2}
-123986	搜查	81582	25628	2	{v=6, vn=4}
-123987	人行	65551	20154	2	{j=0}
-123988	冬雨	65536	20908	3	{n=2}
-123989	单位	69090	21333	2	{n=621}
-123990	八面	65675	20843	1	null
-123991	只顾	65536	21482	3	{d=4, v=2}
-123992	技压	82488	25216	1	null
-123993	告竣	65536	21578	3	{v=2}
-123994	林产品	65536	156154	3	{n=0}
-123995	单体	65536	21333	3	{n=2}
-123996	林口县	65536	157494	3	{ns=1}
-123997	喷油	73252	21943	1	null
-123998	出头	68089	20986	2	{m=3, n=2, v=3}
-123999	条件反	100013	152339	1	null
-124000	林吉特	65536	157532	3	{n=1}
-124001	吊架	65536	21514	3	{n=0}
-124002	党际	65536	20826	3	{n=2}
-124003	担忧	65536	25285	3	{v=7, vn=2}
-124004	林学家	65536	159417	3	{n=0}
-124005	关长	65536	20851	3	{n=6}
-124006	半子	65536	21322	3	{n=0}
-124007	差数	65536	24046	3	{n=1}
-124008	叶轮	65536	21494	3	{n=0}
-124009	双休	65767	21452	1	null
-124010	戏剧节	65536	126501	3	{n=1}
-124011	林州市	65536	160049	3	{ns=0}
-124012	会餐	65536	20250	3	{v=0}
-124013	喷泉	65536	21943	3	{n=4}
-124014	华津	65536	21326	3	{nz=0}
-124015	林林总	99384	162538	1	null
-124016	双优	65536	21452	3	{j=7}
-124017	出奇	67089	20986	2	{a=1}
-124018	攀亲	65536	25856	3	{v=1}
-124019	林林总总	65536	124015	3	{l=2, z=1}
-124020	抱怨	65536	25265	3	{v=4, vd=0, vn=1}
-124021	林果业	65536	162543	3	{n=6}
-124022	望城县	65536	137573	3	{ns=1}
-124023	条件句	65536	152339	3	{n=0}
-124024	太湖	79524	22826	2	{ns=5}
-124025	林科院	65536	167204	3	{j=0}
-124026	室长	65536	23460	3	{n=3}
-124027	弱碱	65536	24369	3	{n=0}
-124028	妙语	79291	22937	2	{n=0}
-124029	林管局	65536	167668	3	{j=0, n=0}
-124030	出奔	65536	20986	3	{v=0}
-124031	念珠	65536	24565	3	{n=0}
-124032	林芝县	65536	169456	3	{ns=0}
-124033	林荫道	65536	169662	3	{n=0}
-124034	果不其	95055	161851	1	null
-124035	内查	65720	20869	1	null
-124036	批发点	65536	127757	3	{n=1}
-124037	果不其然	65536	124034	3	{i=0}
-124038	果园乡	65536	164123	3	{ns=1}
-124039	吊柜	65536	21514	3	{n=1}
-124040	无线电报	65536	120269	3	{n=0}
-124041	果如所	98034	164784	1	null
-124042	枕头	92304	26517	2	{n=1}
-124043	果如所料	65536	124041	3	{i=0}
-124044	想入	74776	24819	1	null
-124045	别集	65536	21035	3	{n=0}
-124046	杏仁	89848	26447	2	{n=1}
-124047	昏昏沉	93209	136154	1	null
-124048	哀痛	65536	21696	3	{a=0, an=0}
-124049	围困	71187	22260	2	{v=3, vn=0}
-124050	果宝乐	65536	165323	3	{nz=0}
-124051	果汁机	65536	169583	3	{n=0}
-124052	无声片	65536	174647	3	{n=0}
-124053	果然如	96573	170852	1	null
-124054	加朗	65578	21152	1	null
-124055	农经	65550	20892	2	{j=0}
-124056	果子汁	65536	165246	3	{n=0}
-124057	岗警	65536	23703	3	{n=0}
-124058	备用	77194	22791	2	{v=0, vn=3}
-124059	果木园	65536	168278	3	{n=0}
-124060	包租	65536	21253	3	{v=0, vn=0}
-124061	台上	65536	21488	3	{s=7}
-124062	台下	65536	21488	3	{s=2}
-124063	巷道	65536	24055	3	{n=1}
-124064	怜贫	87675	24604	1	null
-124065	果然如此	65536	124053	3	{i=0}
-124066	投资热	65536	162250	3	{n=1}
-124067	果皮筒	65536	172252	3	{n=0}
-124068	果能如	96577	174891	1	null
-124069	果能如此	65536	124068	3	{l=1}
-124070	双低	68985	21452	1	null
-124071	意味隽	85929	131953	1	null
-124072	枝枝蔓	90008	130020	1	null
-124073	壮胆	65536	22766	3	{v=0, vd=0}
-124074	启齿	65536	21551	3	{v=0}
-124075	枝枝蔓蔓	65536	124072	3	{n=1}
-124076	弹力袜	65536	133303	3	{n=0}
-124077	枕套	65536	26517	3	{n=0}
-124078	戎马生	85985	118679	1	null
-124079	枝繁叶	90542	135816	1	null
-124080	枝繁叶茂	65536	124079	3	{i=2}
-124081	枝词蔓	88262	139284	1	null
-124082	巡航	84569	24033	2	{v=0}
-124083	枝词蔓语	65536	124081	3	{i=0}
-124084	抱恨	83190	25265	2	{v=0}
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-124086	喷洒	65536	21943	3	{v=2, vn=0}
-124087	厂里	65536	21378	3	{n=0, s=2}
-124088	枞阳县	65536	135901	3	{ns=0}
-124089	本本分	102123	178533	1	null
-124090	枢机主	98150	124109	1	null
-124091	枞树	65536	26526	3	{n=0}
-124092	差旅	72222	24046	1	null
-124093	中韩	65547	20013	1	null
-124094	冬青	65536	20908	3	{n=3, nr=0}
-124095	枢机主教	65536	124090	3	{l=0}
-124096	台中	65536	21488	3	{ns=0}
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-124098	加权	65536	21152	3	{v=1, vn=0}
-124099	枣岭乡	65536	127475	3	{ns=0}
-124100	枣庄市	65536	127946	3	{ns=2}
-124101	枣阳市	65536	142201	3	{ns=0}
-124102	尖扎	85805	23574	1	null
-124103	中音	65536	20013	3	{n=0}
-124104	完竣	65536	23436	3	{v=0}
-124105	枪乌贼	65536	142893	3	{n=0}
-124106	枪响靶	90254	144558	1	null
-124107	枪响靶落	65536	124106	3	{i=0}
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-124109	枢机	104063	26530	2	{n=0}
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-124115	关闭	65536	20851	3	{v=22, vn=3}
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-124117	枭首示众	65536	124114	3	{i=0}
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-124119	枭雄	65536	26541	3	{n=0}
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-124124	无名帖	65536	173396	3	{n=0}
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-124129	前年	65536	21069	3	{t=23}
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-124133	制衣	67237	21046	1	null
-124134	枯木朽	97459	140036	1	null
-124135	八音	66308	20843	1	null
-124136	惠泽	65536	24800	3	{ns=1}
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-124148	擦屁	84839	25830	1	null
-124149	枯草杆菌	65536	124154	3	{n=0}
-124150	枳壳	65536	26547	3	{n=0}
-124151	枯水位	65536	141328	3	{n=0}
-124152	枳机草	65536	127805	3	{n=0}
-124153	憨笑	65536	25000	3	{v=1}
-124154	枯草杆	90409	147237	1	null
-124155	架不住	65536	125603	3	{v=1}
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-124171	染化厂	65536	131366	3	{n=0}
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-124176	吊桥	65536	21514	3	{n=1}
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-124179	受孕	65536	21463	3	{v=3}
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-124191	圆场	65536	22278	3	{v=0}
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-124195	柔情似	96497	134986	1	null
-124196	刀鞘	65536	20992	3	{n=0}
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-124200	敲山	79915	25970	1	null
-124201	柔肠寸	98173	143141	1	null
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-124203	柔软体	98401	146932	1	null
-124204	怒不	90936	24594	1	null
-124205	冲锋	66514	20914	2	{v=3, vn=0}
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-124231	围垦	65536	22260	3	{v=0, vn=0}
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-124393	操典	65536	25805	3	{n=0}
-124394	奉调	65536	22857	3	{n=0}
-124395	出嫁	65536	20986	3	{v=3}
-124396	树凉儿	65536	158917	3	{n=0}
-124397	前往	65536	21069	3	{v=67}
-124398	南区	65536	21335	3	{ns=1}
-124399	栏杆	65536	26639	3	{n=5}
-124400	树大招风	65536	124405	3	{i=0}
-124401	掩映	65536	25513	3	{v=4}
-124402	拼凑	65536	25340	3	{v=1, vn=0}
-124403	树大根深	65536	125779	3	{i=0}
-124404	树形图	65536	162398	3	{n=0}
-124405	树大招	85282	160803	1	null
-124406	树枝状	65536	164505	3	{n=0}
-124407	效劳	65536	25928	3	{v=0}
-124408	树欲静	91630	165422	1	null
-124409	播放	95561	25773	2	{v=10, vn=1}
-124410	树欲静而	85294	124408	1	null
-124411	受尽	65536	21463	3	{v=0}
-124412	树欲静而风	104432	124410	1	null
-124413	树欲静而风不	96926	124412	1	null
-124414	南半	65560	21335	1	null
-124415	奥运	80998	22885	2	{j=19}
-124416	树欲静而风不止	65536	124413	3	{i=0}
-124417	柠檬桉	65536	124225	3	{n=0}
-124418	南华	65536	21335	3	{nz=0}
-124419	树皮画	65536	168362	3	{n=0}
-124420	树碑立	104165	168845	1	null
-124421	树碑立传	65536	124420	3	{i=0}
-124422	富临	65536	23500	3	{nz=4}
-124423	人言	65651	20154	1	null
-124424	树结构	65536	170447	3	{n=0}
-124425	树行子	65536	172872	3	{n=0}
-124426	壁龛	65536	22721	3	{n=1}
-124427	栓皮栎	65536	133754	3	{n=0}
-124428	栖息	102114	26646	2	{v=3, vn=0}
-124429	掺沙	93798	25530	1	null
-124430	栓剂	65536	26643	3	{n=0}
-124431	富丽	83563	23500	2	{a=0, nz=0}
-124432	千瓦	66921	21315	2	{q=16}
-124433	尊重	65536	23562	3	{a=0, v=87, vn=6}
-124434	栖息地	65536	124428	3	{n=3}
-124435	栗子	102185	26647	2	{nr=0}
-124436	尝鼎	87323	23581	1	null
-124437	树脂漆	65536	171006	3	{n=0}
-124438	栗子园	65536	124435	3	{ns=0}
-124439	栗钙土	65536	139100	3	{n=0}
-124440	校党委	65536	165301	3	{n=0}
-124441	奥迪	71990	22885	2	{nz=0}
-124442	校勘学	65536	165683	3	{n=0}
-124443	校友会	65536	165926	3	{n=0}
-124444	各奔	73010	21508	1	null
-124445	导航	86345	23548	2	{v=2, vn=2}
-124446	惨剧	65536	24808	3	{n=0}
-124447	循规蹈	80760	125429	1	null
-124448	校园网	65536	166728	3	{n=0}
-124449	析取	65536	26512	3	{v=0}
-124450	射阳	85193	23556	2	{ns=0}
-124451	化费	65536	21270	3	{v=0}
-124452	口型	65536	21475	3	{n=0}
-124453	校尉营	65536	168036	3	{ns=0}
-124454	校时钟	65536	170577	3	{n=1}
-124455	吊楼	65536	21514	3	{n=2}
-124456	栏板	65536	26639	3	{n=0}
-124457	喷溅	65536	21943	3	{v=1}
-124458	束手待	95945	128657	1	null
-124459	校运会	65536	181291	3	{j=0}
-124460	木质茎	65536	183614	3	{n=0}
-124461	校领导	65536	183521	3	{n=3}
-124462	卡脖	67720	21345	1	null
-124463	栅栏	85942	26629	2	{n=11}
-124464	栩栩	101553	26665	1	null
-124465	墨盒	65536	22696	3	{n=0}
-124466	妙趣	75029	22937	2	{n=0}
-124467	栩栩如	94485	124464	1	null
-124468	栩栩如生	65536	124467	3	{i=6}
-124469	团县	73217	22242	1	null
-124470	株式会	93433	124957	1	null
-124471	株式会社	65536	124470	3	{n=5}
-124472	弯路	65536	24367	3	{n=0}
-124473	株洲县	65536	128576	3	{ns=2}
-124474	围墙	65536	22260	3	{n=6}
-124475	株连九	98413	137452	1	null
-124476	株连九族	65536	124475	3	{i=1, l=0}
-124477	悬崖绝	90482	132036	1	null
-124478	栲胶	65536	26674	3	{n=0}
-124479	样子沟	65536	135918	3	{ns=0}
-124480	在此	76911	22312	1	null
-124481	中饭	65536	20013	3	{n=0}
-124482	样板戏	65536	139037	3	{n=0}
-124483	博采	70806	21338	2	{v=2}
-124484	核二院	65536	166560	3	{j=7}
-124485	中饱	65539	20013	1	null
-124486	核优势	65536	166700	3	{n=0}
-124487	核军备	65536	167343	3	{n=0}
-124488	戒条	65536	25106	3	{n=0}
-124489	文学工	98420	170166	1	null
-124490	博野	69615	21338	1	null
-124491	单元	65705	21333	2	{n=7}
-124492	掌上	90654	25484	1	null
-124493	核动力	65536	167612	3	{n=1}
-124494	核反应	101962	167905	2	{n=0}
-124495	妖雾	65536	22934	3	{n=0}
-124496	核反应堆	65536	124494	3	{l=5}
-124497	核垄断	65536	168856	3	{n=0}
-124498	核基地	65536	168974	3	{n=0}
-124499	单克	65549	21333	1	null
-124500	挽歌	65536	25405	3	{n=0}
-124501	核外电	101126	169258	1	null
-124502	核外电子	65536	124501	3	{n=0}
-124503	拼制	65536	25340	3	{v=0}
-124504	核威慑	65536	169493	3	{n=0}
-124505	捞油	88941	25438	1	null
-124506	医魂	65536	21307	3	{n=0}
-124507	拼刺	95228	25340	2	{v=0}
-124508	核子反应	65536	124880	3	{l=0}
-124509	卫生镇	65536	104874	3	{n=0}
-124510	包管	65536	21253	3	{v=0}
-124511	扫把	65536	25195	3	{n=2}
-124512	富于	65536	23500	3	{v=6, vd=0}
-124513	核子武器	65536	130921	3	{l=0}
-124514	斩断	65536	26025	3	{v=1}
-124515	惯窃	65536	24815	3	{n=0}
-124516	悼词	65536	24764	3	{n=1}
-124517	捶背	65536	25462	3	{v=0}
-124518	宿疾	65536	23487	3	{n=0}
-124519	核导弹	65536	170000	3	{n=0}
-124520	核工业城	65536	124521	3	{n=1}
-124521	核工业	102042	170489	2	{n=20}
-124522	体验	65536	20307	3	{v=8, vn=11}
-124523	核废料	65536	170675	3	{n=1}
-124524	哈站	65536	21704	3	{j=1}
-124525	核引力	65536	170793	3	{n=0}
-124526	核弹头	65536	170829	3	{n=0}
-124527	摄政	87839	25668	2	{v=0}
-124528	核心层	65536	170967	3	{n=0}
-124529	全线	65536	20840	3	{n=11}
-124530	叶酸	65536	21494	3	{n=0}
-124531	南县	65536	21335	3	{ns=0}
-124532	曹州	65536	26361	3	{ns=0}
-124533	核战争	65536	171564	3	{n=0}
-124534	核扩散	65536	171645	3	{n=0}
-124535	切面	65536	20999	3	{n=0}
-124536	操切	65536	25805	3	{a=0}
-124537	低频	65536	20302	3	{b=0}
-124538	参股	65536	21442	3	{v=9, vn=2}
-124539	核技术	65536	171668	3	{n=2}
-124540	尽欢	74692	23613	1	null
-124541	军校	65536	20891	3	{n=8}
-124542	核政策	65536	172371	3	{n=0}
-124543	北城	65536	21271	3	{ns=0}
-124544	核查组	65536	173049	3	{n=3}
-124545	杰出	65536	26480	3	{a=28}
-124546	核武器化	65536	124558	3	{v=0}
-124547	核潜艇	65536	174960	3	{n=0}
-124548	核桃仁	65536	173143	3	{n=0}
-124549	栏柜	65536	26639	3	{n=0}
-124550	分场	65536	20998	3	{n=2}
-124551	核火箭	65536	175231	3	{n=0}
-124552	展室	65536	23637	3	{n=1}
-124553	抹杀	65536	25273	3	{v=1}
-124554	前思	67135	21069	1	null
-124555	核燃料	65536	175575	3	{n=3}
-124556	富人	65536	23500	3	{n=2}
-124557	听神	65784	21548	1	null
-124558	核武器	103276	173946	2	{n=10}
-124559	核爆炸	65536	175642	3	{n=0}
-124560	核物理	65536	175741	3	{n=0}
-124561	捶胸	77676	25462	1	null
-124562	据此	65536	25454	3	{d=4}
-124563	核电机组	65536	129621	3	{n=5}
-124564	核磁共	99178	177365	1	null
-124565	恒星	80895	24658	2	{n=9}
-124566	宫门	65536	23467	3	{n=0}
-124567	南口	65536	21335	3	{ns=0}
-124568	旋子	65536	26059	3	{n=0}
-124569	核磁共振	65536	124564	3	{n=0}
-124570	核禁试	65536	177557	3	{j=0}
-124571	核科学	65536	177637	3	{n=0}
-124572	核糖核	87338	178410	1	null
-124573	核电厂	65536	176457	3	{n=5}
-124574	核子力	65536	169828	3	{n=0}
-124575	宫闱	65536	23467	3	{n=0}
-124576	南召	69492	21335	2	{ns=2}
-124577	曼延	65536	26364	3	{v=0}
-124578	核糖核酸	65536	124572	3	{n=0}
-124579	分块	65536	20998	3	{v=1}
-124580	撤兵	65536	25764	3	{v=0}
-124581	核能源	65536	179473	3	{n=0}
-124582	刺针	65536	21050	3	{n=0}
-124583	救护站	65536	145441	3	{n=0}
-124584	初生	68243	21021	1	null
-124585	核蛋白	65536	180959	3	{n=0}
-124586	喷漆	65536	21943	3	{n=0, v=0}
-124587	庙街	65536	24217	3	{ns=0}
-124588	核裁军	65536	181461	3	{n=0}
-124589	昆山	96718	26118	2	{n=0, ns=0}
-124590	核裂变	65536	181462	3	{n=0}
-124591	柱头	65536	26609	3	{n=0}
-124592	御花	89166	24481	1	null
-124593	幼童	65536	24188	3	{n=4}
-124594	核装置	65536	181465	3	{n=0}
-124595	核计划	65536	182197	3	{n=0}
-124596	奸贼	65536	22904	3	{n=0}
-124597	核讹诈	65536	182221	3	{n=1}
-124598	核试验	65536	182249	3	{n=0}
-124599	核辐射	65536	183204	3	{n=4}
-124600	核选择	65536	183325	3	{n=0}
-124601	核黄素	65536	187096	3	{n=0}
-124602	壮苗	65536	22766	3	{n=0}
-124603	根堆群	102087	144192	1	null
-124604	昂然	65536	26114	3	{nr=0, z=2}
-124605	拦柜	65536	25318	3	{n=0}
-124606	喜上	65631	21916	1	null
-124607	吉祥	70404	21513	2	{n=16, nz=0}
-124608	根堆群培	65536	124603	3	{n=1}
-124609	喜不	65568	21916	1	null
-124610	根指数	65536	147009	3	{n=0}
-124611	根据地	65536	147112	3	{n=38}
-124612	孝顺	65536	23389	3	{a=0, an=0, v=0, vn=0}
-124613	南向	65536	21335	3	{n=1}
-124614	根深叶	91078	149803	1	null
-124615	根本性	65536	148070	3	{n=29}
-124616	根深叶茂	65536	124614	3	{i=1}
-124617	根深蒂固	65536	137042	3	{i=6}
-124618	撤军	65536	25764	3	{v=41, vn=45}
-124619	双关	65668	21452	2	{b=0}
-124620	徽菇	65536	24509	3	{n=0}
-124621	根特市	65536	150963	3	{ns=0}
-124622	团员	65781	22242	2	{n=5}
-124623	根瘤菌	65536	151902	3	{n=0}
-124624	根目录	65536	152104	3	{n=0}
-124625	格但斯	103819	144695	1	null
-124626	有机体	65536	181212	3	{n=0}
-124627	拼劲	65536	25340	3	{n=6}
-124628	愣神	65536	24867	3	{v=0}
-124629	开拓进	88727	164506	1	null
-124630	格但斯克	65536	124625	3	{ns=1}
-124631	格威特	65536	147442	3	{nz=4}
-124632	千疮	65572	21315	1	null
-124633	尤里	85957	23588	1	null
-124634	格尔森基	101065	125090	1	null
-124635	播映	65536	25773	3	{v=1}
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-124639	影子	90286	24433	2	{n=5}
-124640	出家	65536	20986	3	{v=1}
-124641	徽菜	65536	24509	3	{n=0}
-124642	枣农	65536	26531	3	{n=0}
-124643	格式化	65536	148736	3	{v=1}
-124644	格恩济	100938	149082	1	null
-124645	格恩济岛	65536	124644	3	{ns=0}
-124646	格拉斯	102920	149690	1	null
-124647	兴许	65536	20852	3	{d=2}
-124648	压缩	67261	21387	2	{v=16, vn=1}
-124649	寻短	71244	23547	1	null
-124650	卷起	65536	21367	3	{v=1}
-124651	党风	65536	20826	3	{n=102}
-124652	株州	65536	26666	3	{ns=0}
-124653	格拉斯哥	65536	124646	3	{ns=2}
-124654	戴绿	90221	25140	1	null
-124655	格日寺	65536	150486	3	{ns=0}
-124656	格杀勿	88888	150833	1	null
-124657	唱针	65536	21809	3	{n=0}
-124658	格杀勿论	65536	124656	3	{i=0}
-124659	格林威治	65536	124714	3	{ns=0}
-124660	寸阴	65536	23544	3	{n=0}
-124661	家常饭	65536	147274	3	{n=0}
-124662	塞纳	74265	22622	1	null
-124663	格林尼治	65536	125285	3	{nz=1}
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-124665	搔痒	65536	25620	3	{v=0}
-124666	援敌	65536	25588	3	{n=0}
-124667	半工	69176	21322	1	null
-124668	华澳	65536	21326	3	{j=1}
-124669	抱抱	65536	25265	3	{v=2}
-124670	惦记	65536	24806	3	{v=4, vn=0}
-124671	援救	65536	25588	3	{v=1, vn=3}
-124672	格格不	103840	151085	1	null
-124673	宝库	65536	23453	3	{n=2}
-124674	宝应	84038	23453	2	{ns=2}
-124675	单击	65536	21333	3	{v=0}
-124676	家常饼	65536	147274	3	{n=0}
-124677	格格不入	65536	124672	3	{i=2}
-124678	搞活	65536	25630	3	{v=22, vn=0}
-124679	格物致	93988	153690	1	null
-124680	单刀	65617	21333	2	{n=0}
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-124684	军械	66537	20891	2	{n=1}
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-124686	格老村	65536	157170	3	{ns=2}
-124687	操办	65536	25805	3	{v=1, vn=0}
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-124689	格萨尔	65536	158233	3	{nz=0}
-124690	厚颜	65765	21402	1	null
-124691	兵阵	65536	20853	3	{n=0}
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-124693	宝座	65536	23453	3	{n=4}
-124694	希特	87668	24076	1	null
-124695	格里芬	96456	161725	1	null
-124696	曾孙	99040	26366	2	{n=1}
-124697	杭嘉	95481	26477	1	null
-124698	搪瓷	65536	25642	3	{n=1}
-124699	格登山	65536	154732	3	{n=0}
-124700	念白	65536	24565	3	{n=0}
-124701	憋闷	65536	24971	3	{a=0}
-124702	格里芬湖	65536	124695	3	{ns=0}
-124703	单列	65536	21333	3	{v=0}
-124704	格陵兰	100998	162918	2	{n=0}
-124705	格陵兰岛	65536	124704	3	{ns=0}
-124706	体魄	65536	20307	3	{n=1}
-124707	格雷米	101831	163048	1	null
-124708	操劳	65536	25805	3	{v=1, vn=0}
-124709	朗润	100387	26391	1	null
-124710	曼彻	95877	26364	1	null
-124711	军棋	65536	20891	3	{n=1}
-124712	杯弓	89227	26479	1	null
-124713	撤出	65536	25764	3	{v=20}
-124714	格林威	96824	150920	1	null
-124715	富余	65536	23500	3	{a=0, v=0, vn=17}
-124716	格雷米奥	65536	124707	3	{nz=0}
-124717	幸福观	65536	121047	3	{n=0}
-124718	格鲁吉	104597	164466	1	null
-124719	格鲁吉亚	65536	124718	3	{ns=15}
-124720	包米	65536	21253	3	{n=0}
-124721	单利	65536	21333	3	{n=0}
-124722	冷缩	65536	20919	3	{v=0}
-124723	栽培植	95435	126912	1	null
-124724	栽培植物	65536	124723	3	{l=0}
-124725	栽斤头	65536	130411	3	{v=0}
-124726	就业	83713	23601	2	{n=2, v=196, vn=91}
-124727	塞维	76798	22622	1	null
-124728	栽跟头	65536	140710	3	{v=0}
-124729	栾城县	65536	124732	3	{ns=1}
-124730	妇联	65536	22919	3	{j=79, n=0}
-124731	机械功	65536	173065	3	{n=0}
-124732	栾城	103290	26686	2	{ns=1}
-124733	栾老寨	65536	135023	3	{ns=4}
-124734	出尔	66683	20986	1	null
-124735	喜事	65536	21916	3	{n=6}
-124736	全美	65536	20840	3	{n=4}
-124737	担担	76970	25285	1	null
-124738	出尘	65537	20986	1	null
-124739	桀犬	103204	26688	1	null
-124740	桀犬吠	101150	124739	1	null
-124741	桀犬吠尧	65536	124740	3	{i=0}
-124742	城固	76162	22478	1	null
-124743	奉赠	65536	22857	3	{v=1}
-124744	卫生防	65537	104874	1	null
-124745	桀骜不	85211	134963	1	null
-124746	桀骜不驯	65536	124745	3	{i=0}
-124747	桁架	65536	26689	3	{n=0}
-124748	控制器	65536	117157	3	{n=1}
-124749	桂东县	65536	137983	3	{ns=0}
-124750	指示灯	65536	161375	3	{n=0}
-124751	桂圆肉	65536	140265	3	{n=0}
-124752	桂山镇	65536	141652	3	{ns=0}
-124753	桂林市	65536	144506	3	{ns=3}
-124754	桂皮树	65536	148369	3	{n=0}
-124755	桂花酒	65536	151444	3	{n=0}
-124756	宣传费	65536	117520	3	{n=0}
-124757	桃城区	65536	133854	3	{ns=0}
-124758	宣武	84387	23459	2	{ns=0}
-124759	桃木疙	94511	137784	1	null
-124760	桃木疙瘩	98316	124759	1	null
-124761	戴罪	82914	25140	1	null
-124762	文字狱	65536	170151	3	{n=0}
-124763	双刃	70326	21452	1	null
-124764	排除法	65536	170776	3	{n=0}
-124765	桃木疙瘩村	65536	124760	3	{ns=0}
-124766	桃李杯	65536	137822	3	{nz=1}
-124767	工商费	65536	150934	3	{n=1}
-124768	桃李满天	104795	126672	1	null
-124769	指挥棒	65536	155722	3	{n=1}
-124770	曼德	96629	26364	1	null
-124771	拔地	83193	25300	1	null
-124772	农膜	65536	20892	3	{n=5}
-124773	就义	65536	23601	3	{v=0}
-124774	桃李满天下	65536	124768	3	{l=1, n=0}
-124775	桃源县	65536	139680	3	{ns=0}
-124776	案例库	65536	127782	3	{n=0}
-124777	我市	65536	25105	3	{n=6, r=0}
-124778	出局	65536	20986	3	{v=3, vn=1}
-124779	印纹	65536	21360	3	{n=0}
-124780	桌椅板	103811	131954	1	null
-124781	县衙	65536	21439	3	{n=0}
-124782	喜人	65536	21916	3	{a=13}
-124783	排难解纷	65536	116888	3	{i=0}
-124784	帽顶	65536	24125	3	{n=2}
-124785	桉树	65536	26697	3	{n=0}
-124786	敦敦	95009	25958	1	null
-124787	摸爬	89236	25720	1	null
-124788	存小	79067	23384	1	null
-124789	曾家	98222	26366	1	null
-124790	桌椅板凳	65536	124780	3	{n=0}
-124791	桎梏	65536	26702	3	{n=3, v=0}
-124792	卫生院	65536	104874	3	{n=3}
-124793	放射科	65536	164108	3	{n=0}
-124794	桐城市	65536	127442	3	{ns=0}
-124795	桐庐县	65536	129172	3	{ns=0}
-124796	桐油树	65536	132797	3	{n=0}
-124797	斑岩	65536	26001	3	{n=0}
-124798	低首	66538	20302	1	null
-124799	桐柏县	65536	131539	3	{ns=4}
-124800	扭头	65536	25197	3	{v=0}
-124801	印经	65568	21360	1	null
-124802	喜从	72355	21916	1	null
-124803	康乃	70584	24247	1	null
-124804	框图	65536	26694	3	{n=0}
-124805	桑兰西	103981	138397	1	null
-124806	太煤	65536	22826	3	{j=0}
-124807	桑兰西党	65536	124805	3	{n=0}
-124808	利诱	65536	21033	3	{v=2, vn=1}
-124809	桑塔纳	65536	140161	3	{nz=3}
-124810	桑寄生	65536	141041	3	{n=0}
-124811	桑干河	65536	141727	3	{ns=0}
-124812	城址	65536	22478	3	{n=1}
-124813	杞县	65536	26462	3	{ns=1}
-124814	拟提	65536	25311	3	{vn=1}
-124815	惨变	65536	24808	3	{n=0}
-124816	康乐	80226	24247	2	{a=0}
-124817	冰肌	65554	20912	1	null
-124818	帕隆	74644	24085	1	null
-124819	影射	65536	24433	3	{v=0}
-124820	桑戈语	65536	142645	3	{nz=2}
-124821	化身	65536	21270	3	{n=1, v=0}
-124822	桅杆	65536	26693	3	{n=1}
-124823	实验鼠	65536	160107	3	{n=0}
-124824	塞罕	75473	22622	1	null
-124825	桑拿浴	65536	142892	3	{n=1}
-124826	桑榆暮	98605	144563	1	null
-124827	出山	65536	20986	3	{v=4}
-124828	桑榆暮景	65536	124826	3	{i=0}
-124829	奔逃	65536	22868	3	{v=0}
-124830	桑白皮	65536	147882	3	{n=0}
-124831	惹祸	65536	24825	3	{v=0}
-124832	桑皮纸	65536	147931	3	{n=0}
-124833	枳实	65536	26547	3	{n=0}
-124834	惨叫	65536	24808	3	{v=0}
-124835	显像管	65536	131586	3	{n=2}
-124836	扫描	94767	25195	2	{v=6, vn=3}
-124837	政治处	65536	159752	3	{n=2}
-124838	桑给巴	101270	150022	1	null
-124839	就事	71554	23601	1	null
-124840	印绶	65536	21360	3	{n=0}
-124841	枭首	93080	26541	1	null
-124842	桑给巴尔	65536	124838	3	{ns=0}
-124843	升迁	65536	21319	3	{v=1, vn=1}
-124844	中高	65544	20013	1	null
-124845	切题	65536	20999	3	{a=0}
-124846	慌神	65536	24908	3	{v=0}
-124847	川籍	65536	24029	3	{j=3}
-124848	周折	65536	21608	3	{n=3}
-124849	履险	84791	23653	1	null
-124850	机械化	65536	173065	3	{v=3, vd=0, vn=5}
-124851	党首	65536	20826	3	{n=6}
-124852	居者	65536	23621	3	{n=2}
-124853	徒有虚	89795	118304	1	null
-124854	普遍性	65536	162916	3	{n=4}
-124855	抵命	65536	25269	3	{v=0}
-124856	华灯	65536	21326	3	{n=5}
-124857	志愿者	65536	119714	3	{n=77}
-124858	桃花垠	65536	144833	3	{ns=1}
-124859	桑耶寺	65536	150371	3	{ns=0}
-124860	志留	80161	24535	1	null
-124861	周报	73171	21608	2	{n=2, v=0, vn=0}
-124862	出岔	65923	20986	1	null
-124863	桑蚕丝	65536	152002	3	{n=0}
-124864	桑象虫	65536	153486	3	{n=0}
-124865	效命	65536	25928	3	{v=0}
-124866	抚河	65536	25242	3	{ns=0}
-124867	桑迪亚	65536	154391	3	{nz=0}
-124868	南唐	65536	21335	3	{t=0}
-124869	桑那浴	65536	154576	3	{n=0}
-124870	桓台县	65536	126201	3	{ns=0}
-124871	北外	65536	21271	3	{j=0}
-124872	人证	65536	20154	3	{n=1}
-124873	桔红色	65536	136491	3	{n=1}
-124874	桓仁	65536	26707	3	{ns=1}
-124875	把式	65536	25226	3	{n=0}
-124876	晃悠	65536	26179	3	{v=0}
-124877	口头	66661	21475	2	{d=2, n=4}
-124878	旷工	65536	26103	3	{v=0}
-124879	桔黄色	65536	144717	3	{n=1}
-124880	核子反	100296	169828	1	null
-124881	桡动脉	65536	124886	3	{n=0}
-124882	台儿	68667	21488	1	null
-124883	桠杈	65536	26720	3	{n=0}
-124884	工程部	65536	160347	3	{n=1}
-124885	农舍	65536	20892	3	{n=0}
-124886	桡动	91848	26721	1	null
-124887	桥儿沟	65536	136897	3	{ns=0}
-124888	北大	69309	21271	2	{j=12}
-124889	栽倒	65536	26685	3	{v=1}
-124890	档案库	65536	130896	3	{n=0}
-124891	北太	66202	21271	1	null
-124892	文具盒	65536	167623	3	{n=1}
-124893	桥头堡	65536	138934	3	{n=2}
-124894	桥岩山	65536	139819	3	{ns=0}
-124895	先锋	65570	20808	2	{a=0, n=7, nz=4}
-124896	桥牌赛	65536	145358	3	{n=3}
-124897	桦南县	65536	124948	3	{ns=0}
-124898	桦树街	65536	130254	3	{ns=0}
-124899	感恩节	65536	143760	3	{t=0}
-124900	影展	65536	24433	3	{n=0}
-124901	套头	66283	22871	1	null
-124902	桦甸市	65536	133621	3	{ns=0}
-124903	城垛	65536	22478	3	{n=1}
-124904	桧仓	87818	26727	1	null
-124905	时不我	96228	161562	1	null
-124906	开口销	65536	160682	3	{n=0}
-124907	桧仓郡	65536	124904	3	{ns=0}
-124908	桨板	65536	26728	3	{n=0}
-124909	愚直	65536	24858	3	{a=0}
-124910	桫椤	98276	26731	2	{n=3}
-124911	城垣	65536	22478	3	{n=4}
-124912	喷灌	65536	21943	3	{n=0, v=0, vn=0}
-124913	无人机	65536	172033	3	{n=0}
-124914	斯洛文	95557	139421	1	null
-124915	元麦	65536	20803	3	{n=0}
-124916	劳逸	65657	21171	1	null
-124917	桫椤树	65536	124910	3	{n=1}
-124918	教师证	65536	162484	3	{n=1}
-124919	梁上君	101548	124953	1	null
-124920	刀马	65686	20992	1	null
-124921	枸橘	65536	26552	3	{n=0}
-124922	挠秧	65536	25376	3	{v=0}
-124923	奥里	67419	22885	1	null
-124924	梁上君子	65536	124919	3	{i=1}
-124925	娇纵	65536	23047	3	{v=0}
-124926	梁四村	65536	127210	3	{ns=2}
-124927	梁园镇	65536	127228	3	{ns=2}
-124928	梁子湖	94898	128351	2	{ns=0}
-124929	吃床	66473	21507	1	null
-124930	将近	65536	23558	3	{a=0, d=9}
-124931	帮派	65536	24110	3	{n=0}
-124932	塞翁	75006	22622	1	null
-124933	染色剂	65536	143490	3	{n=0}
-124934	梁子湖畔	65536	124928	3	{ns=0}
-124935	公然	65536	20844	3	{d=6}
-124936	套套	65536	22871	3	{n=1, q=0, vn=0}
-124937	梁山县	65536	128640	3	{ns=0}
-124938	戳穿	65536	25139	3	{v=0}
-124939	无烟火	86546	180774	1	null
-124940	全聚	65581	20840	1	null
-124941	梁平县	65536	129154	3	{ns=0}
-124942	梁沟村	65536	132782	3	{ns=0}
-124943	喷火	73186	21943	1	null
-124944	梁洼镇	65536	132939	3	{ns=0}
-124945	梃子	65536	26755	3	{n=0}
-124946	定心骨	65536	147110	3	{n=0}
-124947	喷灯	65536	21943	3	{n=0}
-124948	桦南	103458	26726	1	null
-124949	梅克伦	102389	136121	1	null
-124950	梅克伦堡	100924	124949	1	null
-124951	就任	65536	23601	3	{v=6}
-124952	手提箱	65536	163538	3	{n=1}
-124953	梁上	103388	26753	1	null
-124954	梅克伦堡州	65536	124950	3	{ns=2}
-124955	梅园新	98507	137563	1	null
-124956	梅园新村	65536	124955	3	{ns=2}
-124957	株式	104220	26666	1	null
-124958	机械厂	65536	173065	3	{n=3}
-124959	妖风	65536	22934	3	{n=0}
-124960	梅坡村	65536	137679	3	{ns=0}
-124961	巡逻队	65536	127683	3	{n=2}
-124962	弥补	65536	24357	3	{v=22, vn=1}
-124963	梅山镇	65536	138975	3	{ns=0}
-124964	制订	65536	21046	3	{v=27, vn=1}
-124965	桔农	65536	26708	3	{n=0}
-124966	吊死	65536	21514	3	{v=1}
-124967	昆明湖	65536	127050	3	{ns=0}
-124968	是因	101215	26159	1	null
-124969	梅岭山	65536	139035	3	{ns=0}
-124970	梅州市	65536	139340	3	{ns=0}
-124971	梅河口	100906	143137	2	{n=0}
-124972	梅河口市	65536	124971	3	{ns=0}
-124973	梅西村	65536	150509	3	{ns=0}
-124974	梅陇站	65536	153781	3	{ns=2}
-124975	梆子	91868	26758	2	{n=0}
-124976	梆子腔	65536	124975	3	{n=0}
-124977	梓树	65536	26771	3	{n=0}
-124978	梦寐以	97265	129993	1	null
-124979	梦寐以求	65536	124978	3	{i=3}
-124980	座票	65536	24231	3	{n=0}
-124981	星期四	65536	157876	3	{t=1}
-124982	桠枫	65536	26720	3	{n=0}
-124983	断层湖	65536	153322	3	{n=0}
-124984	希玛	65536	24076	3	{nz=0}
-124985	宣汉	84252	23459	1	null
-124986	梦幻泡影	65536	132554	3	{i=0}
-124987	梅花奖	65536	148767	3	{nz=0}
-124988	梦幻体	65536	130676	3	{n=0}
-124989	枝叶	65536	26525	3	{n=1}
-124990	告终	65536	21578	3	{v=2}
-124991	昆布	65536	26118	3	{n=0}
-124992	异形钢	83893	141040	1	null
-124993	承包田	65536	139036	3	{n=0}
-124994	农艺	65881	20892	2	{n=0}
-124995	梦想成	94501	131308	1	null
-124996	梦想成真	65536	124995	3	{i=0, l=2}
-124997	打头风	65536	168781	3	{n=0}
-124998	梦游症	65536	134705	3	{n=0}
-124999	档儿	65536	26723	3	{n=0}
-125000	品评	65536	21697	3	{v=0, vn=0}
-125001	千真	69551	21315	1	null
-125002	梦牵魂	92534	135790	1	null
-125003	梦牵魂绕	65536	125002	3	{i=0}
-125004	司马	65536	21496	3	{nr=0}
-125005	梧州	100941	26791	2	{ns=1}
-125006	梢头	65536	26786	3	{n=0}
-125007	梧州市	65536	125005	3	{ns=0}
-125008	梧桐树	65536	127679	3	{n=2}
-125009	梨园戏	65536	125083	3	{n=0}
-125010	寸步难	75178	113701	1	null
-125011	梨花大	84289	136287	1	null
-125012	梨花大鼓	65536	125011	3	{l=0}
-125013	梭子蟹	65536	125053	3	{n=0}
-125014	梭罗树	65536	134276	3	{n=0}
-125015	旗帜	79656	26071	2	{n=133}
-125016	梭落坪	98571	135530	1	null
-125017	太爷	65536	22826	3	{n=0}
-125018	布莱顿	65536	151305	3	{nz=0}
-125019	拉丁美	91730	157133	1	null
-125020	梭落坪村	65536	125016	3	{ns=2}
-125021	单单	65536	21333	3	{d=2}
-125022	梯恩梯	65536	126750	3	{n=0}
-125023	懒觉	65536	25042	3	{n=0}
-125024	惠灵	74422	24800	1	null
-125025	守业	65536	23432	3	{v=1}
-125026	分外	65729	20998	2	{b=1, d=5}
-125027	械斗	65536	26800	3	{v=1, vn=1}
-125028	屋里	65536	23627	3	{s=15}
-125029	桐乡	65536	26704	3	{ns=1}
-125030	梗塞	65536	26775	3	{v=0}
-125031	梳妆台	65536	125179	3	{n=0}
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-125037	城堡	65536	22478	3	{n=7}
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-125040	内毒	65537	20869	1	null
-125041	检字法	65536	135159	3	{n=0}
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-125043	原因	65536	21407	3	{d=1, n=274, nr=0}
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-125046	检测器	65536	139755	3	{n=0}
-125047	桌上	65536	26700	3	{s=6}
-125048	检疫合格	103716	125061	1	null
-125049	检疫合格单	65536	125048	3	{n=1}
-125050	待字	72830	24453	1	null
-125051	检阅台	65536	150181	3	{n=0}
-125052	新闻公	94282	189751	1	null
-125053	梭子	90204	26797	2	{n=0}
-125054	各家	71499	21508	2	{r=7}
-125055	品读	65536	21697	3	{v=0}
-125056	分头	65536	20998	3	{d=3, n=0}
-125057	听筒	65536	21548	3	{n=1}
-125058	棉兰老	101353	146796	2	{ns=0}
-125059	宋集	78763	23435	1	null
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-125061	检疫合	98364	141899	1	null
-125062	变幻	66513	21464	2	{v=5, vn=0}
-125063	棉大衣	65536	148771	3	{n=8}
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-125065	检讨书	65536	147528	3	{n=0}
-125066	棉子油	65536	149324	3	{n=0}
-125067	文学性	65536	170166	3	{n=0}
-125068	检察员	65536	135295	3	{n=0}
-125069	戊戌维	88007	121634	1	null
-125070	全胜	65536	20840	3	{n=0}
-125071	有声片	65536	177554	3	{n=0}
-125072	棉帐篷	65536	150028	3	{n=4}
-125073	棉红蜘	90551	158366	1	null
-125074	棉红蜘蛛	65536	125073	3	{l=0}
-125075	康体	65536	24247	3	{nz=1}
-125076	斤斗	65536	26020	3	{n=1}
-125077	棉籽油	65536	157817	3	{n=0}
-125078	棉纤维	65536	158368	3	{n=2}
-125079	尾翼	65536	23614	3	{n=0}
-125080	检验关	65536	151340	3	{n=0}
-125081	双十	71074	21452	1	null
-125082	半径	65536	21322	3	{n=7}
-125083	梨园	99906	26792	2	{n=0}
-125084	弯道	65536	24367	3	{n=1}
-125085	棉纱锭	65536	158381	3	{n=2}
-125086	拼命	65536	25340	3	{d=2, v=1, vn=0}
-125087	棉纺业	65536	158390	3	{n=0}
-125088	平平静	70469	156117	1	null
-125089	斤斤	83251	26020	1	null
-125090	格尔森	102112	147973	1	null
-125091	文明委	65536	172894	3	{j=11}
-125092	棉花胎	65536	159405	3	{n=0}
-125093	无头案	65536	174715	3	{n=0}
-125094	兴起	65536	20852	3	{v=29, vn=6}
-125095	棉被褥	65536	160935	3	{n=1}
-125096	棉毛衫	65536	153559	3	{n=0}
-125097	梳头	65536	26803	3	{v=0}
-125098	变废	72561	21464	1	null
-125099	探索者	65536	156754	3	{nz=0}
-125100	棉贩子	65536	162085	3	{n=2}
-125101	前所	65890	21069	1	null
-125102	棉铃虫	65536	164031	3	{n=0}
-125103	全能	65559	20840	2	{n=7}
-125104	棉织厂	65536	158403	3	{n=1}
-125105	棋盘坨	65536	150364	3	{ns=0}
-125106	北威	66383	21271	1	null
-125107	康佳	65536	24247	3	{nz=1}
-125108	宣泄	65536	23459	3	{v=1, vn=0}
-125109	棋逢对	99947	156838	1	null
-125110	棋逢对手	65536	125109	3	{i=0}
-125111	只鳞	65636	21482	1	null
-125112	完结	65536	23436	3	{v=0, vn=0}
-125113	棋错一	94590	158109	1	null
-125114	告罄	65536	21578	3	{v=1}
-125115	工程量	65536	160347	3	{n=1}
-125116	吊民	73064	21514	1	null
-125117	待定	65536	24453	3	{v=0}
-125118	棋错一着	65536	125113	3	{i=1}
-125119	棍儿	91531	26829	2	{n=0}
-125120	低高	65537	20302	1	null
-125121	棍儿茶	65536	125119	3	{n=0}
-125122	奶类	65536	22902	3	{n=4}
-125123	原地	65536	21407	3	{n=3}
-125124	左右逢	79951	130334	1	null
-125125	待客	65536	24453	3	{v=6, vn=0}
-125126	政法界	65536	159778	3	{n=0}
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-125128	棒儿香	65536	125987	3	{n=0}
-125129	棒子面	65536	128564	3	{n=0}
-125130	棒曲霉	93100	131542	1	null
-125131	柱子	65536	26609	3	{n=2}
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-125133	棒棒糖	65536	132022	3	{n=0}
-125134	拘泥	65536	25304	3	{v=1}
-125135	棒球场	65536	134887	3	{n=0}
-125136	奶粉	65536	22902	3	{n=10}
-125137	怒冲	91515	24594	1	null
-125138	兴趣	65536	20852	3	{n=61}
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-125140	棕榈油	65536	133000	3	{n=0}
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-125142	娇美	65536	23047	3	{a=0}
-125143	棕黄色	65536	146628	3	{n=0}
-125144	棘皮动	95856	130365	1	null
-125145	棘皮动物	65536	125144	3	{l=0}
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-125150	杭城	65536	26477	3	{ns=0}
-125151	工业部	65536	149098	3	{n=14, nt=1}
-125152	台前	71425	21488	2	{s=1}
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-125154	减震	65965	20943	2	{v=0}
-125155	棣棠	65536	26851	3	{n=0}
-125156	杂交育	92143	159048	1	null
-125157	城墙	65536	22478	3	{n=2}
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-125160	森严壁	102749	128940	1	null
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-125169	围子	65536	22260	3	{n=0}
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-125173	新疆维	97912	181442	1	null
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-125175	森罗万象	65536	125174	3	{i=0}
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-125178	棱锥台	65536	142612	3	{n=0}
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-125186	植树造	98677	131494	1	null
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-125317	字书	65536	23383	3	{n=0}
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-125320	楚楚动	105138	131720	1	null
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-125337	楞乎	105286	26974	1	null
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-125340	全自	66405	20840	1	null
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-125347	时有时	94630	167958	1	null
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-125358	新闻办	65536	189751	3	{j=3}
-125359	情人节	65536	143159	3	{t=0}
-125360	团场	65536	22242	3	{n=3}
-125361	南国	65536	21335	3	{n=1, s=5}
-125362	指手画	83308	155504	1	null
-125363	广电部	65536	153893	3	{j=13, nt=1}
-125364	冰芯	65536	20912	3	{n=2}
-125365	无可指	83780	173366	1	null
-125366	冰花	65536	20912	3	{n=0}
-125367	概念化	65536	132377	3	{v=0}
-125368	技士	65536	25216	3	{n=0}
-125369	概率论	65536	137387	3	{n=0}
-125370	待岗	65536	24453	3	{v=4, vn=1}
-125371	扣球	65536	25187	3	{v=0, vn=0}
-125372	循循诱	91290	114651	1	null
-125373	切骨	68195	20999	1	null
-125374	概莫能	102571	141519	1	null
-125375	奉还	65536	22857	3	{v=0}
-125376	双周	70399	21452	1	null
-125377	概莫能外	65536	125374	3	{i=1}
-125378	概预算	65536	146856	3	{j=0}
-125379	尊长	65536	23562	3	{n=0}
-125380	吹风	73916	21561	2	{vn=0}
-125381	榆中县	65536	125630	3	{ns=0}
-125382	榆叶梅	65536	127111	3	{n=0}
-125383	榆树市	65536	132258	3	{ns=0}
-125384	榆次市	65536	133042	3	{ns=1}
-125385	榔头	65536	27028	3	{n=0}
-125386	榕江县	65536	130666	3	{ns=0}
-125387	榛子	65536	27035	3	{n=0}
-125388	方向盘	65536	162385	3	{n=3}
-125389	无名指	65536	173396	3	{n=0}
-125390	变心	65536	21464	3	{v=0}
-125391	心慈面	75085	164664	1	null
-125392	榜上无	103876	125426	1	null
-125393	榜上无名	65536	125392	3	{i=1}
-125394	旋床	65536	26059	3	{n=0}
-125395	榜上有名	65536	125689	3	{l=1}
-125396	榧子	65536	27047	3	{n=0}
-125397	叫驴	65536	21483	3	{n=0}
-125398	榨汁机	65536	131661	3	{n=0}
-125399	出庭	65536	20986	3	{v=10, vn=1}
-125400	榨油机	65536	131781	3	{n=0}
-125401	榕城	65536	27029	3	{ns=0}
-125402	感染者	65536	145658	3	{n=4}
-125403	榫卯	65536	27051	3	{n=1}
-125404	寻章	80824	23547	1	null
-125405	廉价部	65536	110568	3	{n=0}
-125406	慰缭	90579	24944	1	null
-125407	内流	65554	20869	1	null
-125408	半惊	69178	21322	1	null
-125409	榴弹炮	65536	125414	3	{n=0}
-125410	榨取	65536	27048	3	{v=0, vn=0}
-125411	叫骂	65536	21483	3	{v=0}
-125412	展开	65536	23637	3	{v=102, vn=4}
-125413	榴莲果	65536	134751	3	{n=0}
-125414	榴弹	96563	27060	2	{n=0}
-125415	榴霰弹	65536	139741	3	{n=0}
-125416	奉送	65536	22857	3	{v=0}
-125417	口子	65536	21475	3	{n=2}
-125418	台南	65536	21488	3	{ns=0}
-125419	无可挽	97675	173366	1	null
-125420	柠檬水	65536	124225	3	{n=0}
-125421	掏腰	95548	25487	1	null
-125422	意见簿	65536	145599	3	{n=1}
-125423	棉织品	65536	158403	3	{n=0}
-125424	围屏	65536	22260	3	{n=0}
-125425	楷书	65536	26999	3	{n=1}
-125426	榜上	99312	27036	1	null
-125427	槐荫区	65536	137689	3	{ns=1}
-125428	槲寄	95449	27122	1	null
-125429	循规	88023	24490	1	null
-125430	朝鲜民	102759	173111	1	null
-125431	晋冀鲁	85367	139051	1	null
-125432	槲寄生	65536	125428	3	{n=0}
-125433	柠檬汁	65536	124225	3	{n=0}
-125434	存底	65536	23384	3	{n=0}
-125435	寝食	67690	23517	2	{n=3}
-125436	收藏版	65536	175349	3	{n=0}
-125437	喜光	68289	21916	1	null
-125438	忽米	65536	24573	3	{q=0}
-125439	前排	65536	21069	3	{s=3}
-125440	樟树市	65536	125681	3	{ns=0}
-125441	套子	65536	22871	3	{n=0}
-125442	叶锈	65564	21494	1	null
-125443	槟子	65536	27103	3	{n=0}
-125444	川红	65536	24029	3	{n=0}
-125445	梯子	65536	26799	3	{n=0}
-125446	放冷风	65536	161471	3	{v=0}
-125447	政治学	65536	159752	3	{n=2}
-125448	樟木	65536	27167	3	{n=0}
-125449	普及本	65536	147425	3	{n=0}
-125450	樊城	65536	27146	3	{ns=0}
-125451	基于	65536	22522	3	{p=17, v=0}
-125452	变态	71148	21464	2	{n=3, vn=0}
-125453	心中有鬼	65536	111976	3	{l=0}
-125454	樟脑丸	65536	132081	3	{n=0}
-125455	模压机	65536	138361	3	{n=0}
-125456	模棱两	103981	143839	1	null
-125457	模拟器	65536	142285	3	{n=0}
-125458	千磨	65573	21315	1	null
-125459	无形损	87243	176297	1	null
-125460	包罗	68889	21253	1	null
-125461	内海	65536	20869	3	{n=0}
-125462	开发行	65536	160664	3	{j=0}
-125463	基亚	73941	22522	1	null
-125464	加沙	65536	21152	3	{ns=1}
-125465	台历	65536	21488	3	{n=0}
-125466	易燃易	91841	142267	1	null
-125467	无产阶	87364	172014	1	null
-125468	模棱两可	65536	125456	3	{i=1}
-125469	槽体	65536	27133	3	{n=0}
-125470	南坪	65536	21335	3	{ns=0}
-125471	料子	65536	26009	3	{n=2}
-125472	模模糊	93529	144143	1	null
-125473	广告词	65536	145466	3	{n=0}
-125474	奸邪	65536	22904	3	{a=0}
-125475	模模糊糊	65536	125472	3	{z=0}
-125476	全色	65552	20840	1	null
-125477	双响	65536	21452	3	{n=0}
-125478	模糊不清	65536	125479	3	{l=0}
-125479	模糊不	97313	148920	1	null
-125480	守信	74560	23432	2	{a=1, an=0}
-125481	植物体	65536	134142	3	{n=0}
-125482	服装店	65536	147849	3	{n=0}
-125483	晓市	65536	26195	3	{n=0}
-125484	期中	65536	26399	3	{t=0}
-125485	搅混	65536	25605	3	{v=0}
-125486	模糊数学	65536	131466	3	{n=0}
-125487	模范县	65536	150513	3	{n=0}
-125488	横七竖	104648	168865	1	null
-125489	威胁	81999	23041	2	{v=23, vd=0, vn=33}
-125490	变性	65538	21464	2	{v=0, vn=4}
-125491	横七竖八	65536	125488	3	{i=0}
-125492	更上层	94845	144504	1	null
-125493	悼辞	65536	24764	3	{n=0}
-125494	保险	67304	20445	2	{a=1, n=73, v=3, vn=6}
-125495	口实	65536	21475	3	{n=0}
-125496	加油	66727	21152	2	{v=3, vn=0}
-125497	处暑	65536	22788	3	{t=0}
-125498	北安	66352	21271	2	{ns=0}
-125499	内涝	65536	20869	3	{v=0}
-125500	北宋	65536	21271	3	{t=1}
-125501	前提	65536	21069	3	{n=70}
-125502	月牙泉	65536	168714	3	{ns=0}
-125503	善解	74943	21892	1	null
-125504	横倒竖	98009	169392	1	null
-125505	吃惊	65536	21507	3	{a=5}
-125506	椴树	65536	26932	3	{n=0}
-125507	横倒竖歪	65536	125504	3	{l=0}
-125508	团城	65536	22242	3	{ns=0}
-125509	曾庆	89527	26366	1	null
-125510	嵌镶	65536	23884	3	{v=1}
-125511	探空火	85274	156074	1	null
-125512	横冲直	99757	169808	1	null
-125513	奖项	65536	22870	3	{n=9}
-125514	横切面	65536	169893	3	{n=0}
-125515	横冲直撞	65536	125512	3	{i=0}
-125516	横剖面	65536	169972	3	{n=0}
-125517	工作服	65536	149420	3	{n=1}
-125518	含饴	69760	21547	1	null
-125519	塞舌	74269	22622	1	null
-125520	出弦	65674	20986	1	null
-125521	横加指	89394	170046	1	null
-125522	安全观	65536	147108	3	{n=0}
-125523	内涵	65550	20869	2	{n=37}
-125524	加法	66626	21152	2	{n=2}
-125525	横加指责	65536	125521	3	{l=1}
-125526	圆山	65536	22278	3	{ns=8, nz=1}
-125527	政治家	65536	159752	3	{n=17}
-125528	墨竹	65536	22696	3	{n=0}
-125529	慢慢腾	80751	123729	1	null
-125530	嘉靖	65536	22025	3	{nz=1, t=0}
-125531	横坐标	65536	171246	3	{n=0}
-125532	支撑点	65536	155675	3	{n=0}
-125533	横峰县	65536	172686	3	{ns=0}
-125534	横征暴	99597	173343	1	null
-125535	双唇	65548	21452	1	null
-125536	守候	65536	23432	3	{v=1}
-125537	拳头	96072	25331	2	{n=4}
-125538	安全角	65536	147108	3	{n=0}
-125539	旁听生	65536	132439	3	{n=0}
-125540	槐叶	65536	27088	3	{n=0}
-125541	朝阳市	65536	171470	3	{ns=6}
-125542	喜冲	74274	21916	1	null
-125543	存异	65536	23384	3	{v=0}
-125544	横征暴敛	65536	125534	3	{i=0}
-125545	保障	65611	20445	2	{ad=0, n=2, v=80, vn=81}
-125546	梢子	65536	26786	3	{n=0}
-125547	宽大	85855	23485	2	{a=2, an=0}
-125548	横截面	65536	174024	3	{n=0}
-125549	军民	67073	20891	2	{n=68}
-125550	横扫千	104666	174089	1	null
-125551	加泰	65543	21152	1	null
-125552	捎脚	65536	25422	3	{v=0}
-125553	柠檬油	65536	124225	3	{n=0}
-125554	字体	65536	23383	3	{n=1}
-125555	墨笔	67878	22696	2	{n=0}
-125556	基价	65536	22522	3	{n=1}
-125557	横扫千军	65536	125550	3	{i=0}
-125558	横挑鼻	102184	174255	1	null
-125559	博闻	66677	21338	1	null
-125560	横挑鼻子	94119	125558	1	null
-125561	动肝	65544	21160	1	null
-125562	检验单	65536	151340	3	{n=0}
-125563	冷色	65536	20919	3	{n=0}
-125564	冷艳	65536	20919	3	{a=1}
-125565	横挑鼻子竖	100205	125560	1	null
-125566	横挑鼻子竖挑	95044	125565	1	null
-125567	桅樯	65536	26693	3	{n=0}
-125568	横挑鼻子竖挑眼	65536	125566	3	{i=0}
-125569	横栏镇	65536	175533	3	{ns=0}
-125570	南城	65536	21335	3	{ns=0}
-125571	星期天	91798	157876	2	{t=8}
-125572	拳套	65536	25331	3	{n=0}
-125573	横断山	65536	174923	3	{ns=0}
-125574	横生枝	92167	178877	1	null
-125575	柏林	65536	26575	3	{ns=3}
-125576	受惊	65536	21463	3	{v=0}
-125577	横生枝节	65536	125574	3	{i=0}
-125578	摩伊	65536	25705	3	{nz=0}
-125579	带有	65536	24102	3	{v=29}
-125580	日射角	65536	169561	3	{n=0}
-125581	柏枝	65536	26575	3	{n=2}
-125582	横眉冷对	104269	125595	1	null
-125583	打字纸	65536	169328	3	{n=0}
-125584	横眉冷对千	102758	125582	1	null
-125585	横眉冷对千夫	100235	125584	1	null
-125586	横眉冷对千夫指	65536	125585	3	{i=0}
-125587	出彩	65536	20986	3	{v=0}
-125588	有序性	65536	178993	3	{n=1}
-125589	有机化	98970	181212	1	null
-125590	层面	65536	23618	3	{n=11}
-125591	原处	65536	21407	3	{s=0}
-125592	岸边	65536	23736	3	{s=12}
-125593	横眉怒目	65536	129270	3	{i=0}
-125594	横眉竖眼	65536	136122	3	{l=0}
-125595	横眉冷	102037	179367	1	null
-125596	分子	67441	20998	2	{n=43}
-125597	横空出	105609	180248	1	null
-125598	受惠	65536	21463	3	{v=1}
-125599	横空出世	65536	125597	3	{l=1}
-125600	横纹肌	65536	181335	3	{n=0}
-125601	展徽	65536	23637	3	{n=0}
-125602	横结肠	65536	181361	3	{n=0}
-125603	架不	103852	26550	1	null
-125604	文学所	65536	170166	3	{n=2}
-125605	妖魔	65547	22934	2	{n=0}
-125606	各州	65536	21508	3	{r=2}
-125607	坑骗	65536	22353	3	{v=0}
-125608	小说集	65536	173564	3	{n=1}
-125609	横膈膜	65536	182054	3	{n=0}
-125610	横行无忌	65536	125612	3	{i=0}
-125611	出征	65536	20986	3	{v=3, vn=1}
-125612	横行无	101086	183786	1	null
-125613	晓庄	65536	26195	3	{ns=0}
-125614	喜出	68794	21916	1	null
-125615	卫生香	65536	104874	3	{n=0}
-125616	横行霸道	65536	138244	3	{i=0}
-125617	横说竖	89791	184722	1	null
-125618	人身	66098	20154	2	{n=19}
-125619	横说竖说	65536	125617	3	{l=0}
-125620	捐物	65536	25424	3	{v=23, vn=0}
-125621	库涅	76216	24211	1	null
-125622	延聘	65536	24310	3	{v=0}
-125623	恭维	77194	24685	2	{v=0, vn=1}
-125624	收益金	65536	171504	3	{n=2}
-125625	戒毒	89061	25106	2	{v=2, vn=4}
-125626	慢棋	65536	24930	3	{n=0}
-125627	横路山	65536	185229	3	{ns=0}
-125628	恼羞	87996	24700	1	null
-125629	横躺竖	104280	185432	1	null
-125630	榆中	103942	27014	1	null
-125631	横躺竖卧	65536	125629	3	{l=0}
-125632	横须贺	65536	187929	3	{ns=0}
-125633	普通店	95045	162865	1	null
-125634	最高峰	65536	151907	3	{n=3}
-125635	取精	65649	21462	1	null
-125636	樱花树	65536	138254	3	{n=1}
-125637	梳子	65536	26803	3	{n=0}
-125638	朝鲜泡	89057	173111	1	null
-125639	横贡呢	65536	185023	3	{n=0}
-125640	寿终	79063	23551	1	null
-125641	拨开	65536	25320	3	{v=2}
-125642	各市	65536	21508	3	{r=4}
-125643	把戏	65536	25226	3	{n=1}
-125644	打印纸	65536	167305	3	{n=0}
-125645	拨弄	65536	25320	3	{v=0}
-125646	樵夫	65536	27189	3	{n=0}
-125647	楚楚可	100691	131720	1	null
-125648	拍手称	91355	132370	1	null
-125649	千禧	65536	21315	3	{b=0}
-125650	华玉	65536	21326	3	{nz=2}
-125651	旋律	65536	26059	3	{n=16}
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-125653	橄榄	99148	27204	2	{n=0}
-125654	搂草	92140	25602	1	null
-125655	公理	65536	20844	3	{n=0, v=2}
-125656	基佛	65536	22522	3	{n=0}
-125657	动能	65536	21160	3	{n=0}
-125658	橄榄球赛	65536	128847	3	{n=10}
-125659	孤掌	65897	23396	1	null
-125660	恰帕雷	65536	116973	3	{ns=0}
-125661	橘子汁	65536	125722	3	{n=0}
-125662	楷体	65536	26999	3	{n=0}
-125663	橘红色	65536	134764	3	{n=1}
-125664	橙红色	65536	134780	3	{n=0}
-125665	政治局	65536	159752	3	{n=127}
-125666	樱内	65536	27185	3	{nr=3}
-125667	周旋	65536	21608	3	{v=6, vn=0}
-125668	增值	68293	22686	2	{n=0, v=16, vn=11}
-125669	动脉	66010	21160	2	{n=7}
-125670	橙黄色	65536	143006	3	{n=0}
-125671	带来	65536	24102	3	{v=216}
-125672	橛子	65536	27227	3	{n=0}
-125673	橄榄枝	65536	125653	3	{n=0}
-125674	哈罗	65536	21704	3	{nz=0}
-125675	拉丁舞	65536	157133	3	{n=0}
-125676	橡皮图章	65536	129426	3	{l=0}
-125677	动脑	65566	21160	1	null
-125678	冷若	67131	20919	1	null
-125679	橡胶树	65536	135276	3	{n=0}
-125680	怒发	91516	24594	1	null
-125681	樟树	101374	27167	2	{n=0}
-125682	新华村	65536	172682	3	{ns=0}
-125683	橱柜	65536	27249	3	{n=0}
-125684	双喜	71382	21452	2	{n=0, nr=0, nz=0}
-125685	千秋	69558	21315	2	{n=6, t=0}
-125686	期价	65536	26399	3	{n=1}
-125687	檄书	65536	27268	3	{n=0}
-125688	抓大	89302	25235	1	null
-125689	榜上有	103878	125426	1	null
-125690	植入	65536	26893	3	{v=4}
-125691	檩子	65536	27305	3	{n=0}
-125692	桔味	65536	26708	3	{n=0}
-125693	周日	65536	21608	3	{t=29}
-125694	檐子	65536	27280	3	{n=1}
-125695	欠债还	87635	129549	1	null
-125696	影影	78661	24433	1	null
-125697	柏树	65536	26575	3	{n=1}
-125698	分家	65536	20998	3	{v=2}
-125699	宣传部	67405	117520	2	{n=45}
-125700	欠债还钱	65536	125695	3	{i=0}
-125701	欠款人	65536	136465	3	{n=1}
-125702	指甲盖	65536	160343	3	{n=0}
-125703	把手	65536	25226	3	{n=0}
-125704	开幕词	65536	163356	3	{n=1}
-125705	次内阁	93288	143604	1	null
-125706	敲打	65536	25970	3	{v=1}
-125707	展性	65536	23637	3	{n=0}
-125708	南塘	65573	21335	1	null
-125709	檀香山	65536	138630	3	{ns=0}
-125710	梭巡	65536	26797	3	{v=0}
-125711	次内阁级	65536	125705	3	{b=0}
-125712	怒叱	65536	24594	3	{v=0}
-125713	扣留	65536	25187	3	{v=3, vn=0}
-125714	次大陆	65536	145558	3	{n=0}
-125715	次氯酸	87671	150430	2	{n=0}
-125716	橡实	65536	27233	3	{n=0}
-125717	檀木	65536	27264	3	{n=0}
-125718	怒号	65536	24594	3	{vn=0}
-125719	次氯酸钠	65536	125715	3	{n=0}
-125720	朽烂	65536	26429	3	{v=0}
-125721	枕心	65536	26517	3	{n=0}
-125722	橘子	97948	27224	2	{n=0}
-125723	喜剧	65937	21916	2	{n=5}
-125724	棺椁	65536	26874	3	{n=0}
-125725	文人相	81934	166922	1	null
-125726	次生矿物	65536	129930	3	{l=0}
-125727	拼图	65536	25340	3	{n=0, v=0}
-125728	富华	65536	23500	3	{nz=0}
-125729	彝语	65536	24413	3	{nz=1}
-125730	次生林	65536	152718	3	{n=1}
-125731	保靖	65825	20445	1	null
-125732	印色	65536	21360	3	{n=0}
-125733	平方里	65536	157979	3	{q=1}
-125734	半成	68805	21322	1	null
-125735	次级线	103457	155158	1	null
-125736	存心	65536	23384	3	{d=1, v=0}
-125737	次级线圈	65536	125735	3	{l=0}
-125738	橙子	65536	27225	3	{n=2}
-125739	周易	65536	21608	3	{nz=3}
-125740	建设部	65536	153482	3	{n=1, nt=14}
-125741	次重音	65536	160060	3	{n=0}
-125742	明察秋	93201	169193	1	null
-125743	欢呼雀跃	65536	141568	3	{l=2}
-125744	欢呼声	65536	151675	3	{n=5}
-125745	军法	65536	20891	3	{n=1}
-125746	利辛	66880	21033	2	{ns=0}
-125747	椅套	65536	26885	3	{n=0}
-125748	坐下	65536	22352	3	{v=3}
-125749	欢声笑	89929	152815	1	null
-125750	欢声笑语	65536	125749	3	{l=11}
-125751	挖空	91967	25366	1	null
-125752	心惊胆颤	65536	111846	3	{i=0}
-125753	欢声雷动	65536	132891	3	{i=0}
-125754	欢天喜	103435	152872	1	null
-125755	欢天喜地	65536	125754	3	{i=5}
-125756	掌勺	65536	25484	3	{v=0}
-125757	押租	65536	25276	3	{n=0}
-125758	平板车	65536	158433	3	{n=0}
-125759	延胡	78031	24310	1	null
-125760	半截	67128	21322	2	{m=1}
-125761	博雅	65536	21338	3	{a=1}
-125762	拦污	89520	25318	1	null
-125763	欢欢喜	103860	157473	1	null
-125764	分寸	65536	20998	3	{n=0}
-125765	拿三	90608	25343	1	null
-125766	工人阶	75717	149258	1	null
-125767	拿下	65536	25343	3	{v=6}
-125768	工作栈	65536	149420	3	{n=0}
-125769	幻觉	79373	24187	2	{n=2, v=0}
-125770	兵马	67257	20853	2	{n=0}
-125771	新市村	65536	175422	3	{ns=0}
-125772	尾花	65536	23614	3	{n=0}
-125773	分封	65536	20998	3	{v=0}
-125774	抓好	65536	25235	3	{v=109}
-125775	果子狸	65536	165246	3	{n=0}
-125776	欢欢喜喜	65536	125763	3	{z=9}
-125777	口岸	65536	21475	3	{n=21}
-125778	太田	65536	22826	3	{nr=0}
-125779	树大根	96258	160803	1	null
-125780	初秋	65536	21021	3	{t=1}
-125781	抱有	65536	25265	3	{v=1}
-125782	梅花山	65536	148767	3	{ns=0}
-125783	欢欣鼓	92474	157474	1	null
-125784	欢欣鼓舞	65536	125783	3	{i=7}
-125785	挤满	65536	25380	3	{v=3}
-125786	欢歌笑	89967	157515	1	null
-125787	怒吼	65536	24594	3	{v=6, vn=0}
-125788	欢歌笑语	65536	125786	3	{l=3}
-125789	橄榄树	65536	125653	3	{n=0}
-125790	原始	70567	21407	2	{a=24, an=0, n=0}
-125791	欢眉喜	95268	160520	1	null
-125792	欢眉喜眼	65536	125791	3	{l=0}
-125793	欢笑声	65536	161552	3	{n=3}
-125794	欢聚一	103267	162905	1	null
-125795	印花	67231	21360	2	{b=0, n=0, v=0}
-125796	北岳	67602	21271	2	{ns=0}
-125797	欢聚一堂	65536	125794	3	{i=33}
-125798	欢蹦乱	89461	166501	1	null
-125799	原委	65536	21407	3	{n=0}
-125800	欢蹦乱跳	65536	125798	3	{i=0}
-125801	北岸	65536	21271	3	{s=1}
-125802	欢送会	65536	166912	3	{n=0}
-125803	欣喜若	96435	126651	1	null
-125804	檀板	65536	27264	3	{n=0}
-125805	冷荤	65536	20919	3	{n=0}
-125806	有机可	102316	181212	1	null
-125807	息肉	65536	24687	3	{n=0}
-125808	加深	65536	21152	3	{v=26, vd=0, vn=0}
-125809	欢迎会	65536	166861	3	{n=0}
-125810	控球	91817	25511	1	null
-125811	明尼阿	92963	169286	1	null
-125812	樵姑	65536	27189	3	{n=0}
-125813	欣喜若狂	65536	125803	3	{i=1}
-125814	欣欣向荣	65536	125820	3	{i=3}
-125815	拿主	91410	25343	1	null
-125816	欣然命	94310	133717	1	null
-125817	捐献	65536	25424	3	{v=17, vn=1}
-125818	欣然命笔	65536	125816	3	{i=0}
-125819	有性生	94730	179401	1	null
-125820	欣欣向	92179	132162	1	null
-125821	威舍	65657	23041	2	{ns=4}
-125822	新景观	65536	177579	3	{n=5}
-125823	欣赏课	65536	140910	3	{n=3}
-125824	欧佩克	65536	135390	3	{n=2, nt=24}
-125825	千穗	65565	21315	1	null
-125826	夹杂	65536	22841	3	{v=3}
-125827	欧共体	65536	135910	3	{j=1}
-125828	喷珠	67408	21943	1	null
-125829	欧姆定	101371	138043	1	null
-125830	欧姆定律	65536	125829	3	{l=0}
-125831	有机合	97269	181212	1	null
-125832	春风得	96376	180213	1	null
-125833	包背	65538	21253	1	null
-125834	欧委会	65536	138057	3	{j=6}
-125835	欧安会	65536	138494	3	{j=0, n=0}
-125836	分局	65555	20998	2	{n=61}
-125837	广告费	65536	145466	3	{n=0}
-125838	分层	65536	20998	3	{v=0}
-125839	拌种	65536	25292	3	{v=1}
-125840	欧安组织	65536	138037	3	{j=6}
-125841	分居	65536	20998	3	{v=2, vn=1}
-125842	欧洲式	65536	143015	3	{b=0}
-125843	山高水长	65536	107867	3	{i=0}
-125844	拦河	93785	25318	1	null
-125845	楚剧	65536	26970	3	{n=0}
-125846	欧空局	65536	146415	3	{j=1}
-125847	出恭	65536	20986	3	{v=0}
-125848	欧米茄	65536	146920	3	{nz=0}
-125849	出息	65536	20986	3	{n=5}
-125850	欧罗巴	97898	147660	1	null
-125851	柬帖	65536	26604	3	{n=0}
-125852	欧罗巴洲	65536	125850	3	{n=0}
-125853	欧锦赛	65536	153243	3	{j=0}
-125854	欲取姑	105875	126058	1	null
-125855	围巾	65536	22260	3	{n=5}
-125856	擦拭	65536	25830	3	{v=0}
-125857	欲取姑与	65536	125854	3	{i=0}
-125858	户户	65536	25143	3	{n=0, q=7}
-125859	欲哭无	97978	126337	1	null
-125860	欲哭无泪	65536	125859	3	{i=0}
-125861	欲擒故	93425	130406	1	null
-125862	欲擒故纵	65536	125861	3	{i=0}
-125863	华瑞	65536	21326	3	{nz=0}
-125864	加温	65536	21152	3	{v=1}
-125865	欲盖弥	101443	135018	1	null
-125866	分属	65536	20998	3	{v=1}
-125867	操场	65536	25805	3	{n=4}
-125868	指不胜	92704	150322	1	null
-125869	改良派	65536	161524	3	{n=0}
-125870	径赛	65536	24452	3	{n=0}
-125871	暮年	65536	26286	3	{t=0}
-125872	奶罩	65536	22902	3	{n=0}
-125873	图尔	72274	22270	1	null
-125874	掌印	65536	25484	3	{n=0}
-125875	欲盖弥彰	65536	125865	3	{i=0}
-125876	新鲜期	65536	191448	3	{n=1}
-125877	欲罢不	92858	137206	1	null
-125878	悔罪	65536	24724	3	{v=0}
-125879	欲罢不能	65536	125877	3	{i=0}
-125880	欲言又	98392	139924	1	null
-125881	前敌	65536	21069	3	{n=0}
-125882	欲言又止	65536	125880	3	{l=0}
-125883	娇艳	65536	23047	3	{a=0, an=0}
-125884	欲速不达	65536	125889	3	{i=0}
-125885	把持	65536	25226	3	{v=3}
-125886	坐井	65643	22352	1	null
-125887	夹板	73410	22841	2	{n=0}
-125888	晓得	65536	26195	3	{v=3}
-125889	欲速不	89086	141491	1	null
-125890	欲速则不	89093	126925	1	null
-125891	欲速则不达	65536	125890	3	{i=2, n=0}
-125892	欺上瞒	105914	127965	1	null
-125893	欺上瞒下	65536	125892	3	{i=0}
-125894	欺世惑众	65536	125895	3	{i=0}
-125895	欺世惑	105647	127977	1	null
-125896	初稿	65536	21021	3	{n=0}
-125897	晕晕忽	96799	127609	1	null
-125898	各异	65536	21508	3	{a=0, z=3}
-125899	月牙湖	65536	168714	3	{ns=0}
-125900	欺世盗名	65536	131533	3	{i=0}
-125901	欺人之	90059	128141	1	null
-125902	时不时	65536	161562	3	{d=3}
-125903	弱者	65536	24369	3	{n=2}
-125904	受戒	65536	21463	3	{v=0, vn=0}
-125905	奶羊	65536	22902	3	{n=0}
-125906	无理根	65536	181581	3	{n=0}
-125907	欺人之谈	65536	125901	3	{i=0}
-125908	坐享	76407	22352	1	null
-125909	兴邦	65536	20852	3	{v=0}
-125910	框子	65536	26694	3	{n=1}
-125911	各式	71516	21508	2	{r=8}
-125912	无限期	65536	190359	3	{n=3}
-125913	台商	65536	21488	3	{n=9}
-125914	欺人太甚	65536	128684	3	{i=0}
-125915	就势	65536	23601	3	{d=0}
-125916	屏除	65536	23631	3	{v=0}
-125917	南天	65606	21335	1	null
-125918	欺行霸	101858	142879	1	null
-125919	棱台	65536	26865	3	{n=0}
-125920	平乡镇	65536	152003	3	{ns=0}
-125921	敢死	80008	25954	1	null
-125922	守军	65536	23432	3	{n=0}
-125923	文艺学	65536	180170	3	{n=0}
-125924	欺行霸市	65536	125918	3	{l=2}
-125925	冷菜	65536	20919	3	{n=0}
-125926	垂钓	65536	22402	3	{v=0, vn=0}
-125927	据点	65536	25454	3	{n=2}
-125928	欺诈性	65536	143771	3	{n=1}
-125929	机器声	65536	168385	3	{n=1}
-125930	欺软怕	95103	144706	1	null
-125931	欺软怕硬	65536	125930	3	{i=0}
-125932	昭昭	65536	26157	3	{z=0}
-125933	歃血	105908	27459	1	null
-125934	歃血为	95504	125933	1	null
-125935	歃血为盟	65536	125934	3	{i=0}
-125936	歃血结盟	65536	138375	3	{i=0}
-125937	增光	65536	22686	3	{v=1}
-125938	日记簿	65536	181765	3	{n=0}
-125939	歇后语	65536	131904	3	{n=0}
-125940	宁连	67569	23425	1	null
-125941	忍耐	90948	24525	2	{v=3, vn=0}
-125942	拿人	65536	25343	3	{v=0}
-125943	歇斯底	88620	136417	1	null
-125944	歇斯底里	65536	125943	3	{n=1}
-125945	公用	67511	20844	2	{n=1, v=0, vn=12}
-125946	庭长	65536	24237	3	{n=0}
-125947	栈桥	65536	26632	3	{n=0}
-125948	歌仔戏	65536	155593	3	{n=0}
-125949	富含	65536	23500	3	{v=1}
-125950	加湿	66630	21152	1	null
-125951	歌剧团	65536	156508	3	{n=0}
-125952	人迹	65536	20154	2	{n=1}
-125953	歌功颂	101452	156564	1	null
-125954	掰腕	93783	25520	1	null
-125955	歌功颂德	65536	125953	3	{i=0}
-125956	歌咏队	65536	157060	3	{n=0}
-125957	歌唱家	65536	157222	3	{n=12}
-125958	歌曲集	65536	161767	3	{n=1}
-125959	扫帚菜	65536	123375	3	{n=0}
-125960	披盖	65536	25259	3	{v=1}
-125961	歌舞升平	65536	127232	3	{i=2}
-125962	止动杆	65536	132007	3	{n=0}
-125963	拦洪	93789	25318	1	null
-125964	止回阀	65536	133085	3	{n=0}
-125965	撤回	65536	25764	3	{v=2}
-125966	坐以	72812	22352	1	null
-125967	歉岁	65536	27465	3	{n=0}
-125968	人选	65536	20154	3	{n=18}
-125969	止泻药	65536	138746	3	{n=0}
-125970	冬麦	66684	20908	2	{n=0}
-125971	止痛剂	65536	141018	3	{n=0}
-125972	屏障	65536	23631	3	{n=10}
-125973	枝城	65536	26525	3	{n=0}
-125974	受托	65536	21463	3	{v=0, vn=1}
-125975	歙县	65536	27481	3	{ns=0}
-125976	正三角	101562	174347	1	null
-125977	桉油	65536	26697	3	{n=0}
-125978	变戏	65585	21464	1	null
-125979	变成	65536	21464	3	{v=65, vn=0}
-125980	正三角形	65536	125976	3	{n=0}
-125981	增兵	65536	22686	3	{v=1}
-125982	正中下怀	65536	125983	3	{i=0}
-125983	正中下	101406	174383	1	null
-125984	正中要害	65536	141205	3	{l=0}
-125985	愚笨	65536	24858	3	{a=0}
-125986	止血棉	65536	145727	3	{n=0}
-125987	棒儿	85807	26834	1	null
-125988	古丈	71237	21476	1	null
-125989	正义感	65536	174411	3	{n=2}
-125990	前方	65536	21069	3	{f=5, n=0, s=4}
-125991	人造	66235	20154	2	{b=1}
-125992	愁绪	65536	24833	3	{n=1}
-125993	正人君	102620	174524	1	null
-125994	栓塞	65536	26643	3	{n=0}
-125995	明朗朗	65536	172065	3	{z=0}
-125996	正人君子	65536	125993	3	{i=0}
-125997	公畜	65536	20844	3	{n=0}
-125998	正仪镇	65536	174572	3	{ns=0}
-125999	正儿八	93537	175169	1	null
-126000	正儿八经	65536	125999	3	{l=1}
-126001	正前方	65536	175439	3	{f=1}
-126002	担架	94135	25285	2	{n=0}
-126003	正反方	65536	175823	3	{j=1}
-126004	正处级	65536	177158	3	{b=1}
-126005	周朝	65536	21608	3	{t=0}
-126006	正多角形	65536	126031	3	{n=0}
-126007	周期	73229	21608	2	{n=38}
-126008	欢迎信	65536	166861	3	{n=0}
-126009	正多边形	65536	127542	3	{n=0}
-126010	惨境	65536	24808	3	{n=0}
-126011	正多面体	65536	129503	3	{n=0}
-126012	擦掉	65536	25830	3	{v=0}
-126013	慰问组	65536	131231	3	{n=24}
-126014	正大光	99889	177193	1	null
-126015	正大光明	65536	126014	3	{i=0}
-126016	杆子	65536	26438	3	{n=0}
-126017	正字法	65536	177753	3	{n=0}
-126018	正安县	65536	177803	3	{ns=0}
-126019	周末	65536	21608	3	{t=19}
-126020	信风	65536	20449	3	{n=0}
-126021	成年累	87754	159942	1	null
-126022	冷落	65536	20919	3	{a=2, an=0, v=4, vn=2}
-126023	必然	87431	24517	2	{a=0, b=10, d=29, n=16}
-126024	正定县	65536	177820	3	{ns=0}
-126025	拔尖	95180	25300	2	{a=2}
-126026	团委	75966	22242	2	{n=11}
-126027	正弦曲	93581	178728	1	null
-126028	正弦曲线	65536	126027	3	{n=0}
-126029	前无	67178	21069	1	null
-126030	巡视	86528	24033	2	{v=3, vn=1}
-126031	正多角	101588	177180	1	null
-126032	正当防卫	65536	144486	3	{l=1}
-126033	延至	65536	24310	3	{v=0}
-126034	前日	65536	21069	3	{t=0}
-126035	弱肉	86317	24369	1	null
-126036	寿联	65536	23551	3	{n=0}
-126037	正态分	101974	178947	1	null
-126038	古为	72507	21476	1	null
-126039	就医	65536	23601	3	{v=2, vn=3}
-126040	拦海	93332	25318	1	null
-126041	正态分布	65536	126037	3	{n=0}
-126042	人道	66179	20154	2	{n=2}
-126043	想头	65536	24819	3	{n=0}
-126044	叶面	66868	21494	2	{n=0}
-126045	族权	65536	26063	3	{n=0}
-126046	字儿	65536	23383	3	{n=1}
-126047	各得	72223	21508	1	null
-126048	守则	65536	23432	3	{n=5}
-126049	正当中	65536	178773	3	{f=0}
-126050	光解	67152	20809	1	null
-126051	敖汉	92241	25942	1	null
-126052	卖身	68040	21334	2	{v=0}
-126053	正投影	65536	179607	3	{n=0}
-126054	正指数	65536	179721	3	{n=0}
-126055	放射线	65536	164108	3	{n=0}
-126056	挪用	65536	25386	3	{v=13, vn=2}
-126057	周村	72914	21608	1	null
-126058	欲取	102861	27442	1	null
-126059	正常人	65536	178490	3	{n=3}
-126060	古乐	65536	21476	3	{n=8}
-126061	正方体	65536	180411	3	{n=0}
-126062	正本求源	65536	126075	3	{i=1}
-126063	正本清源	65536	126526	3	{i=1}
-126064	正比例	65536	181974	3	{n=0}
-126065	正气凛	97084	182038	1	null
-126066	正气凛然	65536	126065	3	{i=1}
-126067	审理	65536	23457	3	{v=25, vn=5}
-126068	正派人	65536	182336	3	{n=0}
-126069	分崩	65579	20998	1	null
-126070	坐位	65593	22352	2	{n=0}
-126071	增减	65536	22686	3	{v=1, vn=0}
-126072	正点率	65536	183227	3	{n=1}
-126073	正电子	65536	184375	3	{n=1}
-126074	正确性	65536	185200	3	{n=1}
-126075	正本求	97758	180782	1	null
-126076	正离子	65536	185533	3	{n=0}
-126077	正科级	65536	185555	3	{b=0}
-126078	正经事	65536	186833	3	{n=0}
-126079	正经八百	65536	126814	3	{l=0}
-126080	屋门	65536	23627	3	{n=1}
-126081	晨报	65536	26216	3	{n=0}
-126082	古书	65536	21476	3	{n=2}
-126083	正统派	65536	186849	3	{n=0}
-126084	局部	86056	23616	2	{b=1, n=30}
-126085	束手无	91982	128657	1	null
-126086	旗手	65536	26071	3	{n=1}
-126087	正色片	65536	187764	3	{n=0}
-126088	控制室	65536	117157	3	{n=3}
-126089	正襟危	103738	189537	1	null
-126090	正襟危坐	65536	126089	3	{i=0}
-126091	军港	65536	20891	3	{n=0}
-126092	正视图	65536	189640	3	{n=0}
-126093	正角儿	65536	189652	3	{n=0}
-126094	北川	65536	21271	3	{nr=0}
-126095	正言厉	92702	189698	1	null
-126096	正言厉色	65536	126095	3	{i=0}
-126097	正规军	65536	189638	3	{n=3}
-126098	叶鞘	65536	21494	3	{n=0}
-126099	加演	65536	21152	3	{v=1}
-126100	棒冰	65536	26834	3	{n=0}
-126101	正词法	65536	190159	3	{n=0}
-126102	宏观	85248	23439	2	{a=0, n=159}
-126103	字典	65536	23383	3	{n=10}
-126104	正误表	65536	190193	3	{n=0}
-126105	正选赛	65536	191243	3	{v=0}
-126106	康博	65536	24247	3	{nz=3}
-126107	正长石	65536	192641	3	{n=0}
-126108	正间房	65536	192758	3	{n=0}
-126109	把握	65536	25226	3	{n=1, v=47, vn=8}
-126110	正阳县	65536	192821	3	{ns=2}
-126111	太白	77296	22826	2	{ns=0}
-126112	正面人	96824	193124	1	null
-126113	正面人物	65536	126112	3	{l=0}
-126114	制造	69419	21046	2	{v=50, vn=40}
-126115	正音法	65536	193269	3	{n=0}
-126116	正颜厉	92724	193438	1	null
-126117	增函	71903	22686	1	null
-126118	正颜厉色	65536	126116	3	{i=0}
-126119	此一时	65536	154733	3	{i=0}
-126120	持球	65536	25345	3	{v=0}
-126121	此伏彼	89907	155004	1	null
-126122	此伏彼起	65536	126121	3	{i=2}
-126123	柜子	65536	26588	3	{n=4}
-126124	文化买	97545	168038	1	null
-126125	正经人	65536	186833	3	{n=0}
-126126	此呼彼	101915	156393	1	null
-126127	此呼彼应	65536	126126	3	{i=0}
-126128	此情此	99908	159538	1	null
-126129	古井	65536	21476	3	{n=0}
-126130	增刊	65536	22686	3	{n=0}
-126131	此情此景	65536	126128	3	{l=3}
-126132	此时此	105082	160867	1	null
-126133	此时此刻	65536	126132	3	{i=6, l=0}
-126134	此消彼	87869	162805	1	null
-126135	抚熨	65536	25242	3	{v=1}
-126136	杉木	65536	26441	3	{n=5}
-126137	北师	66086	21271	1	null
-126138	桌前	65536	26700	3	{s=1}
-126139	摊晒	91091	25674	1	null
-126140	此消彼长	65536	126134	3	{l=1}
-126141	擒获	65536	25810	3	{v=1}
-126142	半推	69183	21322	1	null
-126143	执委	94673	25191	2	{j=0}
-126144	古交	65536	21476	3	{n=0}
-126145	度过	65536	24230	3	{v=32}
-126146	此起彼	105909	170980	1	null
-126147	增创	65536	22686	3	{v=0}
-126148	此起彼伏	65536	126146	3	{i=4}
-126149	此路不	89265	171100	1	null
-126150	刺骨	65536	21050	3	{z=7}
-126151	歌舞伎	65536	168723	3	{n=0}
-126152	增删	65536	22686	3	{v=1}
-126153	构图	65536	26500	3	{v=3, vn=1}
-126154	所有者	65536	122434	3	{n=7}
-126155	此路不通	65536	126149	3	{l=0}
-126156	步人后	102581	133878	1	null
-126157	步人后尘	65536	126156	3	{i=0}
-126158	拓荒	83192	25299	2	{v=0, vn=0}
-126159	步兵师	65536	134577	3	{n=0}
-126160	年产量	65536	148866	3	{n=5}
-126161	步履维	92775	137377	1	null
-126162	初等	65832	21021	2	{b=1}
-126163	宽宏	83061	23485	1	null
-126164	取经	65536	21462	3	{v=0, vn=0}
-126165	惩罚	88882	24809	2	{v=5, vn=5}
-126166	古人	65546	21476	2	{n=13}
-126167	步履维艰	65536	126161	3	{i=4}
-126168	步履艰难	65536	127053	3	{l=1}
-126169	杉杉	65536	26441	3	{nz=0}
-126170	双垂	67793	21452	1	null
-126171	步步为	92346	141217	1	null
-126172	前景	65536	21069	3	{f=1, n=104}
-126173	庭院	65536	24237	3	{n=9}
-126174	取给	65536	21462	3	{v=0}
-126175	步步为营	65536	126171	3	{i=0}
-126176	成千累	94127	157077	1	null
-126177	步话机	65536	149529	3	{n=0}
-126178	步调一	92918	149567	1	null
-126179	原子	75518	21407	2	{n=10}
-126180	扫雷舰	65536	137932	3	{n=0}
-126181	幅面	65536	24133	3	{n=2}
-126182	古今	72666	21476	2	{n=0, nz=0, t=1}
-126183	有理式	65536	184488	3	{n=0}
-126184	李宁牌	65536	129722	3	{nz=16}
-126185	受挫	65536	21463	3	{v=3, vn=0}
-126186	步调一致	65536	126178	3	{i=2}
-126187	步谈机	65536	149572	3	{n=0}
-126188	援款	65536	25588	3	{n=2, v=0, vn=0}
-126189	武义县	65536	171026	3	{ns=1}
-126190	武乡县	65536	171050	3	{ns=0}
-126191	武二花	65536	171093	3	{n=0}
-126192	和田	73024	21644	2	{nr=0, ns=1}
-126193	千篇	69561	21315	1	null
-126194	步行机	65536	148616	3	{n=0}
-126195	太监	65536	22826	3	{n=0}
-126196	武侠小	90371	171369	1	null
-126197	小气鬼	65536	165404	3	{n=0}
-126198	文化人	65536	168038	3	{n=3}
-126199	武侠小说	65536	126196	3	{n=6}
-126200	怨艾	65536	24616	3	{n=1}
-126201	桓台	103431	26707	1	null
-126202	抱头鼠	84251	122240	1	null
-126203	扫雷艇	65536	137932	3	{n=0}
-126204	武侯区	65536	171384	3	{ns=0}
-126205	宽容	81272	23485	2	{a=1, an=1, v=1, vn=2}
-126206	梨子	65536	26792	3	{n=2}
-126207	古代	71191	21476	2	{t=30}
-126208	杀人如	82637	142378	1	null
-126209	宽宽	73394	23485	1	null
-126210	工具钢	65536	149959	3	{n=0}
-126211	哈腰	65536	21704	3	{v=0}
-126212	既然	97471	26082	2	{c=10}
-126213	和畅	65536	21644	3	{a=0}
-126214	守势	65536	23432	3	{n=1}
-126215	武器库	65536	173105	3	{n=0}
-126216	武城县	65536	173463	3	{ns=0}
-126217	武士道	65536	173748	3	{n=0}
-126218	武夷山	102156	173824	2	{ns=0}
-126219	工程队	65536	160347	3	{n=2}
-126220	圆弧	65536	22278	3	{n=0}
-126221	夹棍	65536	22841	3	{n=0}
-126222	武夷山市	65536	126218	3	{ns=0}
-126223	武安市	65536	174418	3	{ns=0}
-126224	武家坡	65536	174463	3	{ns=0}
-126225	武工队	65536	175022	3	{n=0}
-126226	武当山	65536	175388	3	{ns=0}
-126227	宁都	82468	23425	2	{ns=0}
-126228	孤旅	65536	23396	3	{n=1}
-126229	武打片	65536	176156	3	{n=1}
-126230	武昌区	65536	177109	3	{ns=3}
-126231	武昌起义	65536	141139	3	{l=0, nz=0}
-126232	富商	65536	23500	3	{n=1}
-126233	取缔	65536	21462	3	{v=13, vn=2}
-126234	吊灯	65536	21514	3	{n=2}
-126235	武术界	65536	177400	3	{n=3}
-126236	武汉关	65536	178706	3	{ns=3}
-126237	受损	65536	21463	3	{v=6, vn=2}
-126238	武清县	65536	179150	3	{ns=3}
-126239	武穴市	65536	182333	3	{ns=1}
-126240	武装力量	65536	126241	3	{l=5}
-126241	武装力	88913	185998	1	null
-126242	武进县	65536	187812	3	{ns=0}
-126243	扑火	65536	25169	3	{v=0}
-126244	北平	66355	21271	2	{ns=5}
-126245	扑灭	65536	25169	3	{v=5, vn=0}
-126246	双城	65883	21452	1	null
-126247	摄像管	65536	119295	3	{n=0}
-126248	武装部长	65536	142190	3	{n=2}
-126249	恒河	85091	24658	2	{n=1, ns=1}
-126250	斋戒节	65536	121610	3	{t=0}
-126251	日本海	65536	172417	3	{ns=1}
-126252	椅子	65536	26885	3	{n=4}
-126253	原定	65536	21407	3	{v=8, vn=2}
-126254	床身	65536	24202	3	{n=0}
-126255	原宜	65536	21407	3	{nz=0}
-126256	普罗比	91155	158574	1	null
-126257	分工	65536	20998	3	{v=11, vd=0, vn=19}
-126258	武邑县	65536	187994	3	{ns=0}
-126259	武阳镇	65536	189436	3	{ns=0}
-126260	原审	65536	21407	3	{n=0}
-126261	武陟县	65536	189480	3	{ns=1}
-126262	武陵源	65536	189502	3	{ns=0}
-126263	武鸣县	65536	191468	3	{ns=0}
-126264	歧化酶	65536	127579	3	{n=1}
-126265	歧视性	65536	141579	3	{n=3, vn=0}
-126266	歧路亡	93618	142644	1	null
-126267	听而	74109	21548	1	null
-126268	歧路亡羊	65536	126266	3	{i=0}
-126269	动荡	68797	21160	2	{a=30, an=53, v=1}
-126270	害鸟	65536	23475	3	{n=0}
-126271	摄氏	93191	25668	2	{b=0}
-126272	抚爱	65536	25242	3	{vn=2}
-126273	唱高	65700	21809	1	null
-126274	出战	65536	20986	3	{v=0}
-126275	基准	77436	22522	2	{n=1, v=0}
-126276	晒斑	65536	26194	3	{n=0}
-126277	先驱	65702	20808	2	{n=1}
-126278	歪七扭	105438	126314	1	null
-126279	圆形	75373	22278	2	{n=3}
-126280	增加	77332	22686	2	{v=417, vd=0, vn=25}
-126281	歪七扭八	65536	126278	3	{l=0}
-126282	将错	83062	23558	1	null
-126283	歪主意	65536	126370	3	{n=0}
-126284	歪打正	95757	131514	1	null
-126285	歪打正着	65536	126284	3	{i=0}
-126286	工程院	65536	160347	3	{n=6}
-126287	分布	65926	20998	2	{v=22, vd=0, vn=7}
-126288	寄语	65536	23492	3	{v=2, vn=3}
-126289	扎实	65536	25166	3	{a=31, ad=16, an=0, v=1}
-126290	双基	65536	21452	3	{j=0}
-126291	歪歪扭	101097	133841	1	null
-126292	摇动	65536	25671	3	{v=1}
-126293	扁豆	65536	25153	3	{n=0}
-126294	歪歪扭扭	65536	126291	3	{z=1}
-126295	揭不	92967	25581	1	null
-126296	歪歪斜斜	65536	127106	3	{z=0}
-126297	歪门邪	89353	144719	1	null
-126298	曼斯	88145	26364	1	null
-126299	梯度	65536	26799	3	{n=1}
-126300	歪门邪道	65536	126297	3	{i=0}
-126301	歪风邪	98635	145461	1	null
-126302	枕戈	99517	26517	1	null
-126303	歪风邪气	65536	126301	3	{i=2}
-126304	先验	65562	20808	2	{n=0}
-126305	懵里	88935	25077	1	null
-126306	死不瞑	95862	171099	1	null
-126307	曹操	65536	26361	3	{nr=5}
-126308	死不瞑目	65536	126306	3	{i=0}
-126309	晾晒	65536	26238	3	{v=2, vn=0}
-126310	死乞白	90131	171180	1	null
-126311	增势	65536	22686	3	{n=2}
-126312	局里	65536	23616	3	{n=1}
-126313	死乞白赖	65536	126310	3	{i=0}
-126314	歪七	101081	27498	1	null
-126315	开发计	89123	160664	1	null
-126316	低龄	65554	20302	2	{n=0}
-126317	变换	65536	21464	3	{v=3, vn=0}
-126318	楔形	99283	26964	1	null
-126319	古体	65705	21476	1	null
-126320	弥足	81013	24357	1	null
-126321	接力赛	80664	154931	2	{n=2}
-126322	死于非	104694	171228	1	null
-126323	死于非命	65536	126322	3	{i=2}
-126324	崩龙	82000	23849	1	null
-126325	出手	68157	20986	2	{n=0, v=4}
-126326	桔园	65536	26708	3	{n=2}
-126327	椰子汁	65536	127919	3	{n=2}
-126328	死亡率	65536	171247	3	{n=8}
-126329	敷药	65536	25975	3	{v=0}
-126330	死刑犯	65536	172127	3	{n=0}
-126331	枝头	65536	26525	3	{n=2}
-126332	悔过自	87115	130067	1	null
-126333	死劲儿	65536	172288	3	{d=0, n=0}
-126334	死去活	99866	172553	1	null
-126335	死去活来	65536	126334	3	{i=0}
-126336	弗里	84577	24343	1	null
-126337	欲哭	99779	27442	1	null
-126338	死对头	65536	174663	3	{n=0}
-126339	死得其	101192	175589	1	null
-126340	容许	65536	23481	3	{v=3}
-126341	打官腔	65536	169393	3	{l=0}
-126342	数据流	65536	152031	3	{n=0}
-126343	接收站	65536	159694	3	{n=2}
-126344	死得其所	65536	126339	3	{i=0}
-126345	死心塌	104027	175633	1	null
-126346	前朝	65536	21069	3	{t=0}
-126347	死心塌地	65536	126345	3	{i=0}
-126348	前期	65536	21069	3	{f=13}
-126349	死心眼儿	65536	134265	3	{a=0, n=0}
-126350	歧义	65536	27495	3	{n=0}
-126351	死无对	90576	177198	1	null
-126352	平安险	65536	155371	3	{n=0}
-126353	死无对证	65536	126351	3	{i=0}
-126354	死有余	89591	177495	1	null
-126355	死有余辜	65536	126354	3	{i=0}
-126356	原封	71344	21407	2	{b=0, d=0}
-126357	死板板	65536	177613	3	{z=0}
-126358	崇高	65536	23815	3	{a=52, an=3}
-126359	忽而	65536	24573	3	{d=4}
-126360	死死地	65536	178633	3	{z=1}
-126361	副项	65536	21103	3	{n=0}
-126362	描画	65536	25551	3	{v=0, vn=0}
-126363	公益	65624	20844	2	{n=22}
-126364	存户	65536	23384	3	{n=0}
-126365	千米	65536	21315	3	{q=3}
-126366	影戏	72662	24433	2	{n=0}
-126367	死气沉	98583	178786	1	null
-126368	死气沉沉	65536	126367	3	{i=0}
-126369	党龄	65536	20826	3	{n=2}
-126370	歪主	101436	27498	1	null
-126371	死水一	97849	178818	1	null
-126372	楷则	65536	26999	3	{n=0}
-126373	壮观	65536	22766	3	{a=10, an=3}
-126374	死水一潭	65536	126371	3	{l=0}
-126375	前机	65536	21069	3	{n=1}
-126376	圆心	65622	22278	2	{n=2}
-126377	死火山	65536	179897	3	{n=0}
-126378	死灰复	97257	179902	1	null
-126379	化铁	65537	21270	1	null
-126380	死灰复燃	65536	126378	3	{i=1}
-126381	死皮赖	93302	181500	1	null
-126382	死皮赖脸	65536	126381	3	{i=0}
-126383	死硬派	65536	181946	3	{n=0}
-126384	死而后己	65536	126395	3	{i=0}
-126385	死而后已	65536	126395	3	{i=0}
-126386	守卫	65536	23432	3	{v=4}
-126387	死而复生	65536	127674	3	{i=0}
-126388	死胡同	65536	184111	3	{n=1}
-126389	排水量	65536	159976	3	{n=0}
-126390	死脑筋	65536	184159	3	{n=5}
-126391	死记硬	93421	186878	1	null
-126392	副题	65536	21103	3	{n=0}
-126393	死记硬背	65536	126391	3	{l=1}
-126394	死路一	99932	187453	1	null
-126395	死而后	102335	183898	1	null
-126396	千粒	65598	21315	1	null
-126397	死路一条	65536	126394	3	{l=1}
-126398	挥师	65536	25381	3	{v=2}
-126399	死里逃	96417	188442	1	null
-126400	死里逃生	65536	126399	3	{i=0}
-126401	死难者	65536	189708	3	{n=1}
-126402	机关干	86123	167116	1	null
-126403	台地	65536	21488	3	{n=0}
-126404	尸首	65536	23608	3	{n=0}
-126405	抒情诗	65536	119110	3	{n=1}
-126406	团子	65536	22242	3	{n=0}
-126407	死顽固	65536	190155	3	{n=0}
-126408	武装部队	65536	142190	3	{l=2, n=0}
-126409	歼击机	65536	126417	3	{n=1}
-126410	可不	71314	21487	2	{l=4}
-126411	歼灭战	65536	134211	3	{n=1}
-126412	存执	65536	23384	3	{n=0}
-126413	播洒	65536	25773	3	{v=0}
-126414	内焰	65536	20869	3	{n=0}
-126415	作陪	65536	20316	3	{v=0}
-126416	殃及	65536	27523	3	{v=2, vn=0}
-126417	歼击	99983	27516	2	{v=0}
-126418	前来	65536	21069	3	{v=39, vd=1}
-126419	殆尽	65536	27526	3	{v=4}
-126420	殉葬品	65536	138128	3	{n=0}
-126421	殊不知	65536	126441	3	{v=3}
-126422	品酒	65536	21697	3	{v=0}
-126423	殊异于	106435	130782	1	null
-126424	冷藏	65910	20919	2	{v=0, vn=3}
-126425	殊异于世	65536	126423	3	{i=1}
-126426	殊死战	65536	133975	3	{n=0}
-126427	恩人	65536	24681	3	{n=3}
-126428	椎骨	65536	26894	3	{n=0}
-126429	殊死搏斗	65536	126929	3	{l=0}
-126430	愁肠	83273	24833	1	null
-126431	分库	65536	20998	3	{n=0}
-126432	有口皆	91303	176261	1	null
-126433	幻象	65536	24187	3	{n=2, nz=0}
-126434	信马	65574	20449	1	null
-126435	分店	65536	20998	3	{n=2}
-126436	殊途同	102036	143344	1	null
-126437	喜唱	75145	21916	1	null
-126438	殊途同归	65536	126436	3	{i=0}
-126439	残兵败	102884	162980	1	null
-126440	恩仇	65536	24681	3	{n=3}
-126441	殊不	95728	27530	1	null
-126442	残兵败将	65536	126439	3	{i=0}
-126443	残垣断	103723	164562	1	null
-126444	残垣断壁	65536	126443	3	{l=0}
-126445	正常值	65536	178490	3	{n=1}
-126446	巡警	65536	24033	3	{n=4}
-126447	椰子油	65536	127919	3	{n=0}
-126448	川芎	65536	24029	3	{n=0}
-126449	残墙断	103731	164808	1	null
-126450	广告辞	65536	145466	3	{n=0}
-126451	导言	65536	23548	3	{n=0}
-126452	残墙断壁	65536	126449	3	{i=0}
-126453	残害女	94994	165602	1	null
-126454	双增	69956	21452	1	null
-126455	残害女童	93687	126453	1	null
-126456	坐像	65536	22352	3	{n=0}
-126457	分庭	65544	20998	1	null
-126458	屋面	65536	23627	3	{n=0}
-126459	口形	65536	21475	3	{n=1}
-126460	残害女童者	65536	126455	3	{n=1}
-126461	存折	65536	23384	3	{n=1}
-126462	成都路	65536	172879	3	{ns=0}
-126463	副食	66986	21103	2	{n=0}
-126464	残次林	65536	169552	3	{n=0}
-126465	残渣余	103048	170322	1	null
-126466	歉年	65536	27465	3	{n=0}
-126467	有效性	65536	180714	3	{n=5}
-126468	束手束	90509	128657	1	null
-126469	残渣余孽	65536	126465	3	{i=0}
-126470	残留物	65536	172168	3	{n=1}
-126471	棉纺厂	65536	158390	3	{n=1}
-126472	残疾人	65536	172269	3	{n=18}
-126473	期刊	65536	26399	3	{n=17}
-126474	残砖碎	96549	172869	1	null
-126475	残砖碎瓦	65536	126474	3	{i=0}
-126476	正规化	65536	189638	3	{v=3, vn=9}
-126477	可乐	65536	21487	3	{a=0, j=1, n=2, nz=0}
-126478	南孚	65536	21335	3	{nz=0}
-126479	残篇断	94864	173814	1	null
-126480	残篇断简	65536	126479	3	{i=0}
-126481	取而	72357	21462	1	null
-126482	残编断	94867	174661	1	null
-126483	残编断简	65536	126482	3	{i=0}
-126484	农行	65536	20892	3	{j=21}
-126485	可乘	72760	21487	1	null
-126486	应用题	65536	146805	3	{n=0}
-126487	梯形	65536	26799	3	{n=0}
-126488	残缺不	105662	174697	1	null
-126489	将门	65536	23558	3	{n=3}
-126490	忌讳	65536	24524	3	{v=1, vn=2}
-126491	心力衰	80232	160907	1	null
-126492	拨打	65536	25320	3	{v=4}
-126493	口径	65536	21475	3	{n=4}
-126494	墨线	65536	22696	3	{n=0}
-126495	华盖	65536	21326	3	{n=0}
-126496	摩加	80698	25705	1	null
-126497	殉国	65536	27529	3	{v=0}
-126498	北影	65536	21271	3	{j=0}
-126499	作难	65536	20316	3	{v=0}
-126500	华盛	65558	21326	1	null
-126501	戏剧	90600	25103	2	{n=112}
-126502	残缺不全	65536	126488	3	{i=1, l=0}
-126503	残羹剩	87227	174824	1	null
-126504	残羹剩饭	65536	126503	3	{l=0}
-126505	敲敲	93410	25970	2	{v=0}
-126506	守口	81639	23432	1	null
-126507	残酷无	101735	179366	1	null
-126508	残酷无情	65536	126507	3	{l=1}
-126509	殖民	106485	27542	2	{v=1, vn=3}
-126510	殖民主义	93745	126512	2	{n=5}
-126511	殒命	65536	27538	3	{v=0}
-126512	殖民主	106469	126509	1	null
-126513	城工	65567	22478	1	null
-126514	批件	65536	25209	3	{n=0}
-126515	增压	65536	22686	3	{v=0, vn=1}
-126516	广安门	65536	147321	3	{ns=2}
-126517	南宁	66869	21335	2	{ns=19}
-126518	殖民主义者	65536	126510	3	{n=1}
-126519	升降	69015	21319	2	{v=2, vn=4}
-126520	殚思极	92136	126529	1	null
-126521	殚思极虑	65536	126520	3	{i=0}
-126522	升限	65536	21319	3	{n=0}
-126523	序言	65536	24207	3	{n=1}
-126524	床边	83148	24202	1	null
-126525	南安	65603	21335	2	{ns=0}
-126526	正本清	97759	180782	1	null
-126527	南宋	65536	21335	3	{t=1}
-126528	殚思竭虑	65536	131492	3	{i=0}
-126529	殚思	100023	27546	1	null
-126530	殚精竭	92147	133858	1	null
-126531	战斗舰	65536	163398	3	{n=0}
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-126533	殡仪馆	65536	126551	3	{n=1}
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-126539	保驾	65536	20445	3	{v=0, vn=0}
-126540	分开	65536	20998	3	{ad=0, v=12, vd=0, vn=1}
-126541	昨日	65536	26152	3	{t=11}
-126542	城市	76333	22478	2	{j=0, n=383, ns=0, v=0, vn=2}
-126543	毁于一	100463	129259	1	null
-126544	机器字	65536	168385	3	{n=0}
-126545	歹人	65536	27513	3	{n=0}
-126546	巡诊	65536	24033	3	{v=2, vn=2}
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-126549	毁于一旦	65536	126543	3	{i=0}
-126550	布雷顿	65536	156239	3	{ns=0}
-126551	殡仪	87231	27553	2	{n=0}
-126552	容貌	65536	23481	3	{n=1}
-126553	拓蓝	83529	25299	1	null
-126554	梦乡	65536	26790	3	{n=3}
-126555	分式	65536	20998	3	{n=0}
-126556	收费站	65536	177247	3	{n=0}
-126557	殴伤	65536	27572	3	{v=0}
-126558	墨绿	65615	22696	2	{b=1}
-126559	南宫	65536	21335	3	{nr=0, ns=2}
-126560	毁家纾	87974	132627	1	null
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-126562	文艺工	98545	180170	1	null
-126563	无用武	100176	181871	1	null
-126564	毁家纾难	65536	126560	3	{i=0}
-126565	毁灭性	65536	137930	3	{n=1}
-126566	殿下	65536	27583	3	{n=0}
-126567	毁誉参	105246	144614	1	null
-126568	毁誉参半	65536	126567	3	{i=0}
-126569	毅然决	97592	134406	1	null
-126570	检查员	65536	138373	3	{n=3}
-126571	毅力	65536	27589	3	{n=8}
-126572	加热	66631	21152	2	{v=0, vn=1}
-126573	卷铺	65553	21367	1	null
-126574	毅然决然	65536	126569	3	{i=2}
-126575	可亲	71320	21487	2	{a=3}
-126576	毋庸讳言	65536	129727	3	{i=5}
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-126578	双多	69888	21452	1	null
-126579	朔望	65536	26388	3	{t=0}
-126580	毋须讳	91253	142194	1	null
-126581	毋须讳言	65536	126580	3	{i=0}
-126582	掌嘴	65536	25484	3	{v=0}
-126583	可人	65536	21487	3	{a=0}
-126584	毋宁	65536	27595	3	{c=0}
-126585	增发	65536	22686	3	{v=1}
-126586	毋庸置	96494	127407	1	null
-126587	孤本	65536	23396	3	{n=2}
-126588	悄悄话	65536	115061	3	{n=0}
-126589	敲门砖	65536	138911	3	{n=0}
-126590	株数	65536	26666	3	{n=0}
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-126592	母丁香	65536	155878	3	{n=0}
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-126594	截收	65536	25130	3	{v=0}
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-126600	殷切	65536	27575	3	{a=5, ad=0}
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-126603	掉泪	65536	25481	3	{v=3}
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-126609	母权制	65536	162344	3	{n=0}
-126610	母树林	65536	162550	3	{n=0}
-126611	母线槽	65536	168356	3	{n=8}
-126612	切齿	65538	20999	1	null
-126613	母老虎	65536	168678	3	{n=0}
-126614	字卷	65536	23383	3	{n=0}
-126615	卡西	67487	21345	1	null
-126616	和盘	69288	21644	1	null
-126617	每况愈	106639	157478	1	null
-126618	每况愈下	65536	126617	3	{i=3}
-126619	每时每	105577	162663	1	null
-126620	寄费	65536	23492	3	{n=0}
-126621	半文	65599	21322	1	null
-126622	平面镜	65536	170692	3	{n=0}
-126623	恒温	90850	24658	2	{n=0}
-126624	坐具	65536	22352	3	{n=0}
-126625	枯草热	65536	147237	3	{n=0}
-126626	可以	65536	21487	3	{a=2, d=1, v=699}
-126627	幼苗	65536	24188	3	{n=0}
-126628	每时每刻	65536	126619	3	{l=3}
-126629	垂青	65536	22402	3	{v=0}
-126630	弹簧锁	65536	143939	3	{n=0}
-126631	毒副作	96640	162301	1	null
-126632	毒副作用	65536	126631	3	{n=2}
-126633	毒气弹	65536	168866	3	{n=0}
-126634	户政	83176	25143	2	{j=0}
-126635	毒理学	65536	170900	3	{n=0}
-126636	图式	65536	22270	3	{n=0}
-126637	拉斯维	94697	163195	1	null
-126638	来不得	65536	162614	3	{v=2}
-126639	擂鼓筛	79569	138451	1	null
-126640	光谱	67280	20809	2	{n=0}
-126641	毒瓦斯	65536	171124	3	{n=0}
-126642	技工	79016	25216	2	{n=6}
-126643	毒花花	65536	174655	3	{z=0}
-126644	技巧	90554	25216	2	{n=20}
-126645	徽记	65536	24509	3	{n=1}
-126646	文明忧	94059	172894	1	null
-126647	毒蜘蛛	65536	175782	3	{n=0}
-126648	杠杆	65536	26464	3	{n=9}
-126649	核武库	65536	173946	3	{j=0, n=0}
-126650	半斤	69665	21322	1	null
-126651	欣喜	92294	27427	2	{a=8, an=3}
-126652	毒辣辣	65536	177969	3	{z=1}
-126653	毓婷	65536	27603	3	{nz=0}
-126654	比上不	90380	165720	1	null
-126655	比上不足	65536	126654	3	{i=1}
-126656	比下有	106347	165721	1	null
-126657	哀而	74614	21696	1	null
-126658	昨晚	65536	26152	3	{t=20}
-126659	款冬	65536	27454	3	{n=0}
-126660	比下有余	65536	126656	3	{i=1}
-126661	无线电波	65536	120269	3	{n=0}
-126662	比不上	65536	165723	3	{l=2}
-126663	军火	66089	20891	2	{n=0}
-126664	政治性	65536	159752	3	{n=4}
-126665	度量	74987	24230	2	{n=0, v=2}
-126666	比丘尼	65536	165734	3	{n=0}
-126667	双女	66273	21452	1	null
-126668	拘留证	65536	127298	3	{n=0}
-126669	比什凯	105859	165902	1	null
-126670	比什凯克	65536	126669	3	{nr=1, ns=0}
-126671	富国	85269	23500	2	{nz=1, v=0}
-126672	桃李满	101943	137822	1	null
-126673	比例中	87642	166105	1	null
-126674	杠杠	65536	26464	3	{n=3}
-126675	比例中项	65536	126673	3	{n=0}
-126676	比利时	97103	166775	2	{ns=14}
-126677	技师	65536	25216	3	{n=6}
-126678	尸骨	80962	23608	2	{n=0}
-126679	图强	65536	22270	3	{v=0}
-126680	显影机	65536	135332	3	{n=0}
-126681	捂盖	93188	25410	1	null
-126682	比利时王	104416	126676	1	null
-126683	户数	65536	25143	3	{n=4}
-126684	卡规	65536	21345	3	{n=0}
-126685	比利时王国	65536	126682	3	{ns=1}
-126686	比勒陀	105666	166944	1	null
-126687	标价签	65536	149059	3	{n=0}
-126688	坐冷	70773	22352	1	null
-126689	取胜	65536	21462	3	{v=13, vn=1}
-126690	在理	76635	22312	2	{a=1}
-126691	分得	65536	20998	3	{v=1}
-126692	台塑	65536	21488	3	{j=0}
-126693	弃邪	85984	24323	1	null
-126694	尸骸	65536	23608	3	{n=0}
-126695	执导	65536	25191	3	{v=14}
-126696	城府	65536	22478	3	{n=0}
-126697	小肚鸡	74086	170658	1	null
-126698	婚礼	65536	23130	3	{n=19}
-126699	比勒陀利	106579	126686	1	null
-126700	密密麻	65539	133150	1	null
-126701	比勒陀利亚	65536	126699	3	{ns=6}
-126702	杭州	99662	26477	2	{ns=60}
-126703	比哈尔	89679	167446	1	null
-126704	暂存	98811	26242	1	null
-126705	枉费心	97533	136052	1	null
-126706	图录	65536	22270	3	{n=1}
-126707	思前顾	90977	130471	1	null
-126708	抛石	65536	25243	3	{v=0}
-126709	比哈尔邦	65536	126703	3	{ns=0}
-126710	展览馆	65536	136364	3	{n=5}
-126711	比基尼	65536	168264	3	{n=0}
-126712	比如说	65536	168656	3	{l=1}
-126713	截断	65536	25130	3	{v=2}
-126714	检查哨	65536	138373	3	{n=0}
-126715	半日	65536	21322	3	{m=0}
-126716	比格尔	65536	172426	3	{ns=2}
-126717	半旧	65536	21322	3	{b=0}
-126718	比比皆	100561	173346	1	null
-126719	图形	65536	22270	3	{n=9}
-126720	比比皆是	65536	126718	3	{i=3}
-126721	比热戈	100696	174651	1	null
-126722	吃斋	65536	21507	3	{v=0}
-126723	开发费	65536	160664	3	{n=0}
-126724	字句	65536	23383	3	{n=0}
-126725	杂食店	65536	178051	3	{n=1}
-126726	恒源	81818	24658	2	{nz=0}
-126727	比热戈斯	65536	126721	3	{ns=0}
-126728	徽调	65536	24509	3	{n=0}
-126729	弄虚	90094	24324	1	null
-126730	受敌	65536	21463	3	{v=0}
-126731	救助金	65536	141350	3	{n=2}
-126732	比目鱼	65536	176188	3	{n=1}
-126733	工作母	81717	149420	1	null
-126734	屋顶	65536	23627	3	{n=13}
-126735	分心	65536	20998	3	{v=0}
-126736	可体	65536	21487	3	{a=0}
-126737	尖沙	85617	23574	1	null
-126738	忆苦饭	65536	124168	3	{n=0}
-126739	戏单	65536	25103	3	{n=0}
-126740	比绍市	65536	178203	3	{ns=0}
-126741	合一	65536	21512	3	{v=3, vn=0}
-126742	字号	65536	23383	3	{n=0}
-126743	抛砖	91093	25243	1	null
-126744	幸运	88718	24184	2	{a=8, ad=0, an=4}
-126745	杀伤性	65536	142484	3	{n=10}
-126746	比翼双	87613	178506	1	null
-126747	比翼双飞	65536	126746	3	{i=0}
-126748	栓子	65536	26643	3	{n=0}
-126749	比翼齐飞	65536	146078	3	{i=1}
-126750	梯恩	98223	26799	1	null
-126751	比肩而	95329	178679	1	null
-126752	我方	65536	25105	3	{n=0, r=5}
-126753	比色计	65536	179136	3	{n=0}
-126754	合不	67801	21512	1	null
-126755	处死	65536	22788	3	{v=2}
-126756	军烈	65624	20891	1	null
-126757	南山	69631	21335	2	{ns=1}
-126758	和睦	65639	21644	2	{a=7, ad=0, an=1}
-126759	果子盐	65536	165246	3	{n=0}
-126760	比萨饼	65536	179574	3	{n=1}
-126761	比赛服	65536	181929	3	{n=2}
-126762	比较价格	65536	126768	3	{l=0}
-126763	双姓	65536	21452	3	{n=0}
-126764	比肩而立	65536	126751	3	{i=0}
-126765	比较文学	65536	132544	3	{n=0}
-126766	比重计	65536	183067	3	{n=0}
-126767	各执	73117	21508	1	null
-126768	比较价	100078	182481	1	null
-126769	毕其功	106665	127736	1	null
-126770	暂定	65536	26242	3	{v=1}
-126771	分忧	65536	20998	3	{v=13}
-126772	据理	95563	25454	1	null
-126773	拳师	65536	25331	3	{n=0}
-126774	拿出	65536	25343	3	{v=0}
-126775	毕其功于	106809	126769	1	null
-126776	无所不有	65536	120309	3	{i=0}
-126777	毕其功于一	102337	126775	1	null
-126778	毕其功于一役	65536	126777	3	{i=0}
-126779	待战	65536	24453	3	{v=0}
-126780	华石	65568	21326	1	null
-126781	搜狐	65536	25628	3	{nz=0}
-126782	川菜	65536	24029	3	{n=0}
-126783	毕加索	65536	128034	3	{nr=0}
-126784	毕业班	65536	126876	3	{n=0}
-126785	毕尔巴	89664	130454	1	null
-126786	毕尔巴鄂	65536	126785	3	{nz=0}
-126787	毕恭毕	100824	131567	1	null
-126788	毕恭毕敬	65536	126787	3	{i=0}
-126789	入账	65536	20837	3	{v=4, vn=0}
-126790	城建	73989	22478	2	{j=9}
-126791	毙命	65536	27609	3	{v=1}
-126792	毗连	65536	27607	3	{v=1}
-126793	周樱	65536	21608	3	{nz=0}
-126794	毛丫头	65536	169770	3	{n=0}
-126795	南岗	69633	21335	2	{ns=0}
-126796	毛举细	100872	169789	1	null
-126797	毛举细故	65536	126796	3	{i=0}
-126798	南岚	65574	21335	1	null
-126799	尾蚴	65536	23614	3	{n=0}
-126800	变故	65536	21464	3	{n=2}
-126801	毛乌素	65536	169803	3	{ns=0}
-126802	毛乎乎	65536	169805	3	{z=0}
-126803	化险	68870	21270	1	null
-126804	毛兴村	65536	170611	3	{ns=0}
-126805	架势	65536	26550	3	{n=4}
-126806	毛利率	65536	170792	3	{n=0}
-126807	毛南族	65536	171094	3	{nz=1}
-126808	毛哗叽	65536	171478	3	{n=0}
-126809	毛囊炎	65536	171977	3	{n=0}
-126810	各抒	69038	21508	1	null
-126811	毛孩子	65536	173160	3	{n=1}
-126812	尼那	65536	23612	3	{ns=0}
-126813	毛家湾	65536	173237	3	{ns=4}
-126814	正经八	95745	186833	1	null
-126815	毛手毛	93773	174922	1	null
-126816	工业革	86502	149098	1	null
-126817	南岭	65909	21335	2	{ns=2}
-126818	半晌	65536	21322	3	{m=1}
-126819	合乎	65536	21512	3	{v=4}
-126820	想尽	65536	24819	3	{v=0}
-126821	殷勤	65536	27575	3	{a=1, ad=0}
-126822	毛巾架	65536	173821	3	{n=0}
-126823	毛手毛脚	65536	126815	3	{z=0}
-126824	描眉	87172	25551	2	{v=0}
-126825	核子学	65536	169828	3	{n=0}
-126826	宽带	65536	23485	3	{b=1, n=1, nz=2}
-126827	毛收入	65536	175669	3	{n=1}
-126828	拿到	65536	25343	3	{v=2}
-126829	各报	65536	21508	3	{r=1}
-126830	念经	65536	24565	3	{v=0}
-126831	毛楂楂	65536	176705	3	{z=0}
-126832	化隆	67459	21270	1	null
-126833	毛毛糙糙	65536	126848	3	{z=0}
-126834	毛毛茸茸	65536	128479	3	{z=0}
-126835	毛毛躁躁	65536	131368	3	{z=0}
-126836	出摊	65536	20986	3	{v=0}
-126837	备考	65536	22791	3	{n=1, vn=0}
-126838	怪不	88226	24618	1	null
-126839	入赘	65536	20837	3	{v=0}
-126840	太祖	65536	22826	3	{n=0}
-126841	口惠	65760	21475	2	{n=0}
-126842	毛泽东	102242	177660	2	{nr=68}
-126843	变数	65536	21464	3	{n=3}
-126844	接待站	65536	158237	3	{n=0}
-126845	奶茶	65536	22902	3	{n=0}
-126846	备而	78908	22791	1	null
-126847	毛泽东思	102030	126842	1	null
-126848	毛毛糙	94872	177370	1	null
-126849	毛泽东思想	65536	126847	3	{n=26}
-126850	毛烘烘	65536	178647	3	{z=0}
-126851	毛玻璃	65536	179386	3	{n=0}
-126852	杯杯	65536	26479	3	{q=1}
-126853	毛瑟枪	65536	179550	3	{n=0}
-126854	毛白杨	65536	180092	3	{n=0}
-126855	备耕	65536	22791	3	{v=6, vn=4}
-126856	毛纺织	65536	182201	3	{n=0}
-126857	戏友	65536	25103	3	{n=2}
-126858	毛线针	65536	182206	3	{n=0}
-126859	毛细现	90925	182213	1	null
-126860	古兰	65757	21476	1	null
-126861	弹簧门	65536	143939	3	{n=0}
-126862	毛细现象	65536	126859	3	{l=0}
-126863	木偶戏	65536	168076	3	{n=1}
-126864	冰袋	65536	20912	3	{n=0}
-126865	展播	65536	23637	3	{v=3, vn=0}
-126866	毛织品	65536	182214	3	{n=0}
-126867	毛茸茸	65536	183351	3	{z=0}
-126868	古典	72723	21476	2	{a=0, b=16}
-126869	抱歉	65536	25265	3	{a=1, ad=0, an=1}
-126870	峰顶	65536	23792	3	{n=0}
-126871	枝子	65536	26525	3	{n=0}
-126872	毛边纸	65536	186552	3	{n=0}
-126873	忆起	65536	24518	3	{v=1}
-126874	参见	65536	21442	3	{v=0}
-126875	参观	71380	21442	2	{v=60, vn=3}
-126876	毕业	97107	27605	2	{v=62, vn=20}
-126877	毛遂自	93263	186689	1	null
-126878	可信	68578	21487	2	{a=3, an=0}
-126879	毛遂自荐	65536	126877	3	{i=1}
-126880	榫头	65536	27051	3	{n=0}
-126881	合二	65794	21512	1	null
-126882	晴朗	95158	26228	2	{a=9}
-126883	律诗	65536	24459	3	{n=0}
-126884	入超	65536	20837	3	{v=0}
-126885	毛里塔	103274	187083	1	null
-126886	毛里塔尼	106766	126885	1	null
-126887	扫毒	65536	25195	3	{v=0}
-126888	毛里塔尼亚	106656	126886	2	{ns=0}
-126889	柏油	87831	26575	2	{n=3}
-126890	毛里塔尼亚伊	100860	126888	1	null
-126891	毛里塔尼亚伊斯	106044	126890	1	null
-126892	毛里塔尼亚伊斯兰	106048	126891	1	null
-126893	导论	65536	23548	3	{n=0}
-126894	戏台	65536	25103	3	{n=2}
-126895	受旱	65536	21463	3	{v=0}
-126896	差点	87579	24046	2	{d=4, v=0}
-126897	毛里塔尼亚伊斯兰共	105254	126892	1	null
-126898	毛里塔尼亚伊斯兰共和	104631	126897	1	null
-126899	摇唇	76738	25671	1	null
-126900	毛里塔尼亚伊斯兰共和国	65536	126898	3	{ns=0}
-126901	毛里求斯	106054	131987	2	{ns=8}
-126902	抓工	92403	25235	1	null
-126903	毛里求斯共	105264	126901	1	null
-126904	口感	65536	21475	3	{n=1}
-126905	抹灰	65536	25273	3	{v=1}
-126906	杳无	103597	26483	1	null
-126907	哈萨	73838	21704	1	null
-126908	毛里求斯共和	104644	126903	1	null
-126909	导诊	65536	23548	3	{v=0}
-126910	威虎	79379	23041	1	null
-126911	抓差	65536	25235	3	{v=0}
-126912	栽培	97830	26685	2	{v=6, vn=15}
-126913	毛里求斯共和国	65536	126908	3	{ns=0}
-126914	料想	65536	26009	3	{v=0}
-126915	宽广	65536	23485	3	{a=7}
-126916	坐力	65536	22352	3	{n=0}
-126917	毛集镇	65536	188357	3	{ns=1}
-126918	戒烟	65536	25106	3	{v=0, vn=0}
-126919	毛骨悚	97940	189351	1	null
-126920	坐功	65536	22352	3	{n=0}
-126921	各持	69039	21508	1	null
-126922	毛骨悚然	65536	126919	3	{i=0}
-126923	毫不动摇	65536	127015	3	{l=3}
-126924	检察官	65536	135295	3	{n=8}
-126925	欲速则	105909	141491	1	null
-126926	旷日	95419	26103	1	null
-126927	毫不在乎	65536	128167	3	{l=0}
-126928	毫不客气	65536	129313	3	{l=1}
-126929	殊死搏	100422	133975	1	null
-126930	化雨	65659	21270	1	null
-126931	毫不犹豫	65536	135224	3	{l=6}
-126932	反中	68484	21453	1	null
-126933	毫不留情	65536	135896	3	{l=3}
-126934	毫不相干	65536	136311	3	{l=1}
-126935	抱残	92215	25265	1	null
-126936	检察室	65536	135295	3	{n=1}
-126937	反串	65536	21453	3	{v=1}
-126938	拿办	65536	25343	3	{v=0}
-126939	毫不讳言	65536	141618	3	{i=0}
-126940	微型车	65536	141389	3	{n=0}
-126941	毫不费力	65536	142008	3	{l=1}
-126942	有法必	102029	182647	1	null
-126943	毫不迟疑	65536	142686	3	{l=1}
-126944	措置	94317	25514	1	null
-126945	奸险	65536	22904	3	{a=0}
-126946	毫厘不	102904	134067	1	null
-126947	捕蝇纸	65536	128643	3	{n=0}
-126948	毫安表	65536	136100	3	{n=0}
-126949	标本室	65536	155256	3	{n=1}
-126950	毫厘不差	65536	126946	3	{l=0}
-126951	毫微秒	65536	137161	3	{q=0}
-126952	毫无二致	65536	126963	3	{i=0}
-126953	毫无例外	65536	127218	3	{l=0}
-126954	宽度	65536	23485	3	{n=5}
-126955	晨昏	65536	26216	3	{t=1}
-126956	毫无办法	65536	128005	3	{l=0}
-126957	毫无用处	65536	136847	3	{l=0}
-126958	导读	65536	23548	3	{v=1}
-126959	毫无疑义	65536	136952	3	{l=0}
-126960	反义	65704	21453	1	null
-126961	毫无道理	65536	143802	3	{l=2}
-126962	反之	71728	21453	2	{c=5}
-126963	毫无二	93684	138747	1	null
-126964	怪事	65536	24618	3	{n=0}
-126965	序论	65536	24207	3	{n=0}
-126966	毫无顾虑	65536	145893	3	{l=0}
-126967	出操	65536	20986	3	{v=0, vn=1}
-126968	副高	65536	21103	3	{b=0, j=1}
-126969	操守	65536	25805	3	{n=1}
-126970	毯子	65536	27631	3	{n=1}
-126971	晨星	65536	26216	3	{n=1, nz=1}
-126972	弦乐队	65536	110688	3	{n=0}
-126973	毽子	65536	27645	3	{n=0}
-126974	全行	65536	20840	3	{n=10}
-126975	氆氇	65536	27654	3	{n=0}
-126976	氏族	65536	27663	3	{n=0}
-126977	毫米数	65536	144526	3	{n=0}
-126978	民不聊	96996	173364	1	null
-126979	民不聊生	65536	126978	3	{i=0}
-126980	民主主义	65536	127950	3	{n=2}
-126981	橄榄油	65536	125653	3	{n=3}
-126982	原平	67271	21407	2	{ns=0}
-126983	民主人士	65536	128077	3	{n=7}
-126984	楚囚	65536	26970	3	{n=0}
-126985	吹鼓	69001	21561	1	null
-126986	民主党派	65536	128749	3	{l=0, n=39}
-126987	民主刚果	65536	128941	3	{ns=0}
-126988	春秋鼎	90763	172274	1	null
-126989	民主德国	65536	132426	3	{ns=0}
-126990	民主改革	65536	133836	3	{l=1}
-126991	公社	65536	20844	3	{n=3}
-126992	民主联盟	65536	140775	3	{n=0}
-126993	民主集中	105950	146521	1	null
-126994	取舍	65536	21462	3	{v=0, vn=1}
-126995	尺骨	65536	23610	3	{n=0}
-126996	民主集中制	65536	126993	3	{n=5}
-126997	民主革命	65536	146684	3	{l=0, n=0}
-126998	民乐县	65536	173431	3	{ns=0}
-126999	民事权	105967	173490	1	null
-127000	民事权利	65536	126999	3	{l=0}
-127001	民以食	106976	173580	1	null
-127002	民以食为	104179	127001	1	null
-127003	府邸	65536	24220	3	{n=0, ns=0}
-127004	民以食为天	65536	127002	3	{i=1, l=0, n=0}
-127005	民众党	65536	173630	3	{n=0}
-127006	半月	69515	21322	1	null
-127007	民俗学	65536	173822	3	{n=1}
-127008	歌舞剧	65536	168723	3	{n=4}
-127009	民办小学	65536	127010	3	{n=1}
-127010	民办小	103611	174533	1	null
-127011	怪人	65536	24618	3	{n=0}
-127012	愁苦	65536	24833	3	{a=0, an=0}
-127013	毗邻	65536	27607	3	{v=1, vn=1}
-127014	晶体点	83105	121774	1	null
-127015	毫不动	101252	132648	1	null
-127016	民办教师	65536	129388	3	{n=2}
-127017	民友联	65536	174834	3	{j=5}
-127018	变星	65536	21464	3	{n=0}
-127019	楚国	65536	26970	3	{ns=0}
-127020	合众	70892	21512	1	null
-127021	民和委	65536	175027	3	{j=4}
-127022	合伙	72968	21512	2	{v=3, vd=2, vn=1}
-127023	民安国	99140	176816	1	null
-127024	初级	68280	21021	2	{b=63, vn=0}
-127025	桐柏山	65536	131539	3	{ns=2}
-127026	晨晖	65536	26216	3	{n=0}
-127027	作风	65536	20316	3	{n=108}
-127028	民安国泰	65536	127023	3	{i=0}
-127029	宏赡	65536	23439	3	{a=0}
-127030	民富国	102654	176883	1	null
-127031	捡破	87809	25441	1	null
-127032	民富国强	65536	127030	3	{l=1}
-127033	民心向背	65536	127040	3	{l=0}
-127034	宣传队	65536	117520	3	{n=1}
-127035	劳顿	65536	21171	3	{a=0, an=0}
-127036	奸雄	65536	22904	3	{n=0}
-127037	干事长	65536	151260	3	{n=4}
-127038	公祭	65536	20844	3	{v=1, vn=1}
-127039	坐化	65536	22352	3	{v=0}
-127040	民心向	94061	177898	1	null
-127041	毡包	65536	27617	3	{n=0}
-127042	必由	91996	24517	1	null
-127043	民心所向	65536	130671	3	{l=1}
-127044	民怨沸	93906	177999	1	null
-127045	围护	65536	22260	3	{v=0}
-127046	悠荡	65536	24736	3	{v=0}
-127047	岳阳	86533	23731	2	{ns=10}
-127048	利钱	65536	21033	3	{n=0}
-127049	冷血	66884	20919	1	null
-127050	昆明	96721	26118	2	{ns=41}
-127051	很难	75434	24456	1	null
-127052	就地	85866	23601	2	{d=6}
-127053	步履艰	87578	137377	1	null
-127054	挺直	65536	25402	3	{v=3, vn=0}
-127055	受暑	65536	21463	3	{v=0}
-127056	民怨沸腾	65536	127044	3	{i=0}
-127057	奉陪	65536	22857	3	{v=0}
-127058	民意测	87496	178230	1	null
-127059	宽式	65536	23485	3	{b=0}
-127060	民意测验	65536	127058	3	{n=5}
-127061	古刹	65536	21476	3	{n=0}
-127062	民政部门	65536	143363	3	{n=12}
-127063	民族主义	65536	130559	3	{n=2}
-127064	单子	65536	21333	3	{n=0}
-127065	民族之林	65536	130575	3	{n=3}
-127066	吊环	65536	21514	3	{n=0}
-127067	团工	73221	22242	1	null
-127068	单孔	65606	21333	2	{n=1}
-127069	杏仁酥	65536	124046	3	{n=0}
-127070	民族形式	65536	134950	3	{l=0}
-127071	单字	65536	21333	3	{n=0}
-127072	民族自决	65536	143790	3	{l=0}
-127073	挽留	65536	25405	3	{v=5, vn=1}
-127074	民族英雄	65536	144053	3	{l=1, n=0}
-127075	处治	65536	22788	3	{v=0}
-127076	民权主	107044	179818	1	null
-127077	斑斑	65536	26001	3	{z=3}
-127078	新闻奖	65536	189751	3	{n=1}
-127079	斑斓	65536	26001	3	{z=7}
-127080	合体	65536	21512	3	{n=0}
-127081	保鲜	65721	20445	2	{v=1, vn=4}
-127082	柜式	65536	26588	3	{b=0}
-127083	单季	65537	21333	1	null
-127084	就坐	65536	23601	3	{v=0}
-127085	民权主义	65536	127076	3	{n=0}
-127086	民法学	65536	181244	3	{n=0}
-127087	民生主	107047	183366	1	null
-127088	民生主义	65536	127087	3	{n=0}
-127089	合作	72703	21512	2	{n=0, v=176, vd=5, vn=562}
-127090	毕业生	65536	126876	3	{n=17}
-127091	民用化	65536	183375	3	{vn=1}
-127092	民社党	65536	184421	3	{n=2}
-127093	民政党	65536	179302	3	{n=4}
-127094	出敌	68160	20986	1	null
-127095	容身	85823	23481	2	{v=1}
-127096	团市	73225	22242	1	null
-127097	拂衣	82924	25282	1	null
-127098	慰藉	65536	24944	3	{v=3, vn=4}
-127099	周正	65536	21608	3	{a=0, nr=0}
-127100	株洲市	65536	128576	3	{ns=2}
-127101	就坡	87359	23601	1	null
-127102	民穷财	103496	184734	1	null
-127103	招摇过	91990	148543	1	null
-127104	把柄	65536	25226	3	{n=0}
-127105	李先	98831	26446	1	null
-127106	歪歪斜	100284	133841	1	null
-127107	围拢	65536	22260	3	{v=0}
-127108	李克	99019	26446	1	null
-127109	民穷财尽	65536	127102	3	{i=0}
-127110	民粹主义	65536	127118	3	{n=0}
-127111	榆叶	98625	27014	1	null
-127112	民脂民	93947	186409	1	null
-127113	单宁	65542	21333	1	null
-127114	民脂民膏	65536	127112	3	{i=0}
-127115	括约	83282	25324	1	null
-127116	包藏	65544	21253	2	{v=0}
-127117	恩公	65536	24681	3	{n=0}
-127118	民粹主	107069	185312	1	null
-127119	接线箱	65536	166231	3	{n=0}
-127120	坐卧	77289	22352	1	null
-127121	南川	66874	21335	1	null
-127122	公私	66764	20844	2	{n=4}
-127123	民营化	65536	187212	3	{v=0}
-127124	民航史	65536	186705	3	{n=1}
-127125	南巡	65536	21335	3	{v=0, vn=0}
-127126	枣子	65536	26531	3	{n=0}
-127127	民运会	65536	190199	3	{j=0}
-127128	抬秤	65536	25260	3	{n=0}
-127129	恩典	65536	24681	3	{n=0, v=0}
-127130	民间文学	65536	127137	3	{l=0}
-127131	愁眉苦	80524	123975	1	null
-127132	太空	80838	22826	2	{s=18}
-127133	歉意	65536	27465	3	{n=2, vn=0}
-127134	民间舞团	65536	134456	3	{n=7}
-127135	扭打	65536	25197	3	{v=1}
-127136	民间艺术	104899	134548	2	{l=2}
-127137	民间文	103732	191771	1	null
-127138	排球网	65536	161975	3	{n=0}
-127139	存放	81080	23384	2	{v=5, vn=3}
-127140	文艺性	65536	180170	3	{n=0}
-127141	民间艺术团	65536	127136	3	{n=2}
-127142	昌江	65536	26124	3	{ns=0}
-127143	抹煞	65536	25273	3	{v=0}
-127144	双子	67188	21452	2	{n=2}
-127145	气乎乎	65536	176027	3	{z=0}
-127146	幽会	65536	24189	3	{v=0}
-127147	故事片	65536	138800	3	{n=8}
-127148	拂袖	82928	25282	1	null
-127149	气冲冲	65536	176895	3	{z=1}
-127150	札幌	65536	26413	3	{ns=2}
-127151	来信者	65536	163082	3	{n=1}
-127152	完蛋	65536	23436	3	{v=0}
-127153	按扣	65536	25353	3	{n=0}
-127154	曝晒	65536	26333	3	{v=1}
-127155	气冲牛斗	65536	135510	3	{i=0}
-127156	气冲霄汉	65536	144895	3	{i=0}
-127157	气功师	65536	177132	3	{n=0}
-127158	南市	69635	21335	2	{ns=1}
-127159	将领	65536	23558	3	{n=11}
-127160	气动力	65536	177141	3	{n=0}
-127161	扭扭	89593	25197	1	null
-127162	双孢	65536	21452	1	null
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-127164	气势如虹	65536	127184	3	{i=0}
-127165	富士	82461	23500	2	{nz=0}
-127166	双学	71121	21452	2	{j=1}
-127167	桅灯	65536	26693	3	{n=0}
-127168	公积	65569	20844	1	null
-127169	是役	65536	26159	3	{r=2}
-127170	晨曦	65536	26216	3	{n=7}
-127171	气势恢宏	65536	128944	3	{l=1}
-127172	气势汹汹	65536	132039	3	{i=0}
-127173	拷贝	65536	25335	3	{n=2, v=0}
-127174	气势磅礴	65536	135187	3	{i=1}
-127175	正常化	65536	178490	3	{v=9, vn=18}
-127176	拒礼	65536	25298	3	{v=0}
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-127178	气吁吁	65536	177486	3	{z=0}
-127179	气压表	65536	177368	3	{n=0}
-127180	气吞山	99354	177515	1	null
-127181	气吞山河	65536	127180	3	{i=0}
-127182	气味相	101946	177600	1	null
-127183	气味相投	65536	127182	3	{i=0}
-127184	气势如	92739	177164	1	null
-127185	圆括	75040	22278	1	null
-127186	气呼呼	65536	177609	3	{z=1}
-127187	气咻咻	65536	177672	3	{z=0}
-127188	商丘	65539	21830	2	{ns=0}
-127189	气哼哼	65536	177737	3	{z=0}
-127190	商业	78768	21830	2	{n=190}
-127191	气喘吁吁	65536	127196	3	{i=1, z=1}
-127192	气垫船	65536	178424	3	{n=0}
-127193	气壮山	99370	178747	1	null
-127194	出新	65536	20986	3	{v=2, vn=0}
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-127196	气喘吁	105686	177893	1	null
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-127202	气度不	106243	180211	1	null
-127203	檀香扇	65536	138630	3	{n=0}
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-127205	北戴	65563	21271	1	null
-127206	口才	65536	21475	3	{n=0}
-127207	或许	65536	25110	3	{c=0, d=24}
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-127209	垂首	73353	22402	1	null
-127210	梁四	98477	26753	1	null
-127211	气急败	104863	180594	1	null
-127212	杨家将	65536	139097	3	{n=0}
-127213	拍案而	79703	133903	1	null
-127214	气急败坏	65536	127211	3	{i=1}
-127215	打冷颤	65536	166864	3	{l=0}
-127216	套房	65536	22871	3	{n=0}
-127217	替换	65536	26367	3	{v=4}
-127218	毫无例	104147	138747	1	null
-127219	夹河	65536	22841	3	{ns=0}
-127220	检查团	65536	138373	3	{n=3}
-127221	原形	65552	21407	2	{n=1}
-127222	围捕	65536	22260	3	{v=1}
-127223	气息奄	104372	180668	1	null
-127224	气息奄奄	65536	127223	3	{i=0}
-127225	气昂昂	65536	182095	3	{z=1}
-127226	昌河	65536	26124	3	{nz=1}
-127227	气概不	106275	182991	1	null
-127228	梁园	86712	26753	2	{ns=1}
-127229	座舱	65536	24231	3	{n=2}
-127230	印行	65536	21360	3	{v=0}
-127231	变更	65536	21464	3	{v=8, vn=0}
-127232	歌舞升	101782	168723	1	null
-127233	受权	65536	21463	3	{v=2}
-127234	批准	95033	25209	2	{v=160, vn=13}
-127235	反作	65637	21453	1	null
-127236	气概不凡	65536	127227	3	{l=0}
-127237	心心相连	65536	111760	3	{l=2}
-127238	文明户	65536	172894	3	{n=5}
-127239	宽心	85870	23485	2	{a=0}
-127240	军犬	65536	20891	3	{n=0}
-127241	气汹汹	65536	183750	3	{z=0}
-127242	文学梦	65536	170166	3	{n=0}
-127243	气管炎	65536	187630	3	{n=2}
-127244	气绝身	107118	188458	1	null
-127245	户枢	94381	25143	1	null
-127246	怜香	87684	24604	1	null
-127247	气绝身亡	65536	127244	3	{l=1}
-127248	气象万千	65536	127296	3	{i=0}
-127249	岸防	65536	23736	3	{n=0}
-127250	卡诺	65536	21345	3	{ns=0}
-127251	改革者	65536	166894	3	{n=1}
-127252	尖溜	78935	23574	1	null
-127253	柚木	65536	26586	3	{n=0}
-127254	双宾	65670	21452	1	null
-127255	待援	65536	24453	3	{v=0}
-127256	气象卫星	65536	128676	3	{n=2}
-127257	口技	65536	21475	3	{n=0}
-127258	气贯长	92838	192124	1	null
-127259	局长	65536	23616	3	{n=96, nr=0}
-127260	楠溪	97596	26976	1	null
-127261	杏子	65536	26447	3	{n=0}
-127262	性交	65536	24615	3	{vn=1}
-127263	气贯长虹	65536	127258	3	{i=1}
-127264	导购	84949	23548	1	null
-127265	气轮机	65536	192699	3	{n=0}
-127266	气锅鸡	65536	194130	3	{n=0}
-127267	档案柜	65536	130896	3	{n=0}
-127268	棚代	101690	26842	1	null
-127269	扁桃腺	65536	117074	3	{n=0}
-127270	气雾剂	65536	194635	3	{n=0}
-127271	南平	66884	21335	2	{ns=0}
-127272	夹注	65536	22841	3	{n=0}
-127273	气鼓鼓	65536	196704	3	{z=0}
-127274	光身	65536	20809	1	null
-127275	氙气	98497	27673	2	{n=0}
-127276	坐吃	73607	22352	1	null
-127277	可兰	65758	21487	1	null
-127278	昆曲	65536	26118	3	{n=1}
-127279	气门嘴	65536	194357	3	{n=0}
-127280	氙气灯	65536	127275	3	{n=0}
-127281	川藏	75659	24029	1	null
-127282	掌声	78140	25484	2	{n=40}
-127283	古北	71213	21476	1	null
-127284	氖灯	65536	27670	3	{n=0}
-127285	氛围	65536	27675	3	{n=43}
-127286	感应计	65536	143291	3	{n=0}
-127287	变本	71452	21464	1	null
-127288	氟利昂	65536	127289	3	{n=0}
-127289	氟利	101174	27679	1	null
-127290	氟橡胶	65536	133489	3	{n=0}
-127291	某个	65536	26576	3	{r=10}
-127292	氟里昂	65536	143580	3	{n=0}
-127293	松松散	97831	170640	1	null
-127294	歌舞厅	65536	168723	3	{n=2}
-127295	氟化氢	65536	127526	3	{n=0}
-127296	气象万	105933	191918	1	null
-127297	循环论	65536	119776	3	{n=0}
-127298	拘留	90891	25304	2	{v=11, vn=3}
-127299	氟骨病	65536	145848	3	{n=1}
-127300	氢氟酸	65536	133758	3	{n=0}
-127301	氢氧化锂罐	65536	136164	3	{n=0}
-127302	挖肉	81570	25366	1	null
-127303	商事	65536	21830	3	{n=0}
-127304	夜不	66511	22812	1	null
-127305	氢氧吹管	65536	127604	3	{l=0}
-127306	单层	65542	21333	1	null
-127307	氢氧化物	65536	127313	3	{n=0}
-127308	氢化油	65536	127349	3	{n=0}
-127309	氢氰酸	65536	133775	3	{n=0}
-127310	氤氲	65536	27684	3	{n=1, v=1}
-127311	氦灯	65536	27686	3	{n=0}
-127312	氧分子	65536	127314	3	{n=4}
-127313	氢氧化	98018	133766	1	null
-127314	氧分	103936	27687	1	null
-127315	氧化亚铜	65536	127317	3	{n=0}
-127316	氧气瓶	65536	133984	3	{n=1}
-127317	氧化亚	89207	127586	1	null
-127318	拙稿	65536	25305	3	{n=0}
-127319	氧炔吹	95671	135136	1	null
-127320	氧炔吹管	65536	127319	3	{l=0}
-127321	刺鼻	65536	21050	3	{a=0}
-127322	氨化池	65536	127331	3	{n=1}
-127323	尽瘁	74716	23613	1	null
-127324	分成	65536	20998	3	{v=10, vn=0}
-127325	氨基酸	65536	128583	3	{n=1}
-127326	氩气	65536	27689	3	{n=0}
-127327	氮化物	65536	127336	3	{n=0}
-127328	批判	90491	25209	2	{v=8, vn=6}
-127329	氮氧化	98041	133753	1	null
-127330	氮氧化物	65536	127329	3	{n=0}
-127331	氨化	99578	27688	2	{v=0}
-127332	寄送	65536	23492	3	{v=0}
-127333	备至	65536	22791	3	{z=0}
-127334	守土	78182	23432	2	{v=0}
-127335	氯丁橡	94324	128669	1	null
-127336	氮化	98038	27694	2	{v=0}
-127337	商亭	65536	21830	3	{n=0}
-127338	氯丁橡胶	65536	127335	3	{n=0}
-127339	氯氟烃	65536	136379	3	{n=0}
-127340	加班	67632	21152	2	{v=6, vd=0, vn=0}
-127341	氯霉素	65536	147365	3	{n=0}
-127342	水上居民	65536	127348	3	{l=0}
-127343	氰化氢	65536	127347	3	{n=0}
-127344	惹草	88304	24825	1	null
-127345	教研组	65536	169152	3	{n=1}
-127346	水上飞机	65536	142861	3	{l=0}
-127347	氰化	99661	27696	2	{v=0}
-127348	水上居	99677	180934	1	null
-127349	氢化	99475	27682	1	null
-127350	商人	65536	21830	3	{n=18}
-127351	水东乡	65536	180952	3	{ns=3}
-127352	安全部	65536	147108	3	{n=0, nt=10}
-127353	水中捞	100979	180969	1	null
-127354	宜黄	65536	23452	3	{ns=0}
-127355	水中捞月	65536	127353	3	{i=0}
-127356	水乳交	92656	181039	1	null
-127357	水乳交融	65536	127356	3	{i=0}
-127358	水产业	65536	181091	3	{n=2}
-127359	打工者	65536	169982	3	{n=21, nr=0}
-127360	新人王	65536	171510	3	{n=0}
-127361	旗杆	65536	26071	3	{n=1}
-127362	吉萨	65613	21513	2	{ns=0}
-127363	水仙簪	65536	181141	3	{n=2}
-127364	全角	65808	20840	1	null
-127365	水仙花头	65536	129034	3	{n=2}
-127366	水位计	65536	181257	3	{n=0}
-127367	参议	71132	21442	2	{n=0, vn=0}
-127368	我校	65536	25105	3	{n=0}
-127369	席间	65536	24109	3	{n=0}
-127370	技巧运	94010	126644	1	null
-127371	分房	65536	20998	3	{v=6, vn=5}
-127372	水俣病	65536	181407	3	{n=0}
-127373	小家鼠	65536	161214	3	{n=0}
-127374	前次	65536	21069	3	{t=0}
-127375	扬子鳄	65536	135367	3	{n=0}
-127376	水准仪	65536	181890	3	{n=0}
-127377	水利工程	65536	130336	3	{l=20}
-127378	水冲式	65536	181870	3	{b=1}
-127379	杨家岭	65536	139097	3	{ns=0}
-127380	水利枢纽	65536	132829	3	{l=2}
-127381	水到渠	102278	181996	1	null
-127382	水到渠成	65536	127381	3	{i=0}
-127383	分手	65536	20998	3	{v=1, vn=0}
-127384	参访	65536	21442	3	{v=0}
-127385	宽恕	65536	23485	3	{v=1, vn=0}
-127386	双层	67221	21452	2	{b=6}
-127387	水刷石	65536	182003	3	{n=0}
-127388	公立	65536	20844	3	{b=1}
-127389	参评	65536	21442	3	{v=5, vn=0}
-127390	性伤	89170	24615	1	null
-127391	商代	65536	21830	3	{t=2}
-127392	水力发电	65536	127396	3	{l=1}
-127393	吊瓶	65536	21514	3	{n=0}
-127394	水化物	65536	182226	3	{n=0}
-127395	朴次	89661	26420	1	null
-127396	水力发	97387	182103	1	null
-127397	农话	65536	20892	3	{j=1}
-127398	扣篮	65536	25187	3	{v=1, vn=0}
-127399	摊款	65536	25674	3	{vn=1}
-127400	护路队	65536	152189	3	{n=0}
-127401	水压机	65536	182343	3	{n=0}
-127402	氯化氢	65536	129970	3	{n=0}
-127403	庚辰	65536	24218	3	{m=0}
-127404	某些	65536	26576	3	{r=67}
-127405	寻花	68133	23547	1	null
-127406	影星	65536	24433	3	{n=1}
-127407	毋庸	93964	27595	2	{d=1}
-127408	水口镇	65536	182431	3	{ns=0}
-127409	公章	65536	20844	3	{n=2}
-127410	夏乐	75456	22799	1	null
-127411	信鸽	65536	20449	3	{n=1}
-127412	南开	69637	21335	2	{ns=9}
-127413	兴隆	65704	20852	2	{a=6, an=0, ns=0, nz=1}
-127414	水合物	65536	182468	3	{n=0}
-127415	水土不	101037	183259	1	null
-127416	戍边	93898	25101	2	{v=3, vn=2}
-127417	反倒	65536	21453	3	{d=3}
-127418	水土不服	65536	127415	3	{i=0}
-127419	水墨画	65536	183652	3	{n=2}
-127420	榫子	65536	27051	3	{n=0}
-127421	水声学	65536	183724	3	{n=0}
-127422	挥戈	65536	25381	3	{v=0}
-127423	巢鼠	65536	24034	3	{n=0}
-127424	和稀	66596	21644	1	null
-127425	文化厅	65536	168038	3	{n=5}
-127426	水天一	94034	183781	1	null
-127427	植物园	65536	134142	3	{n=1}
-127428	水天一色	65536	127426	3	{i=0}
-127429	分批	65536	20998	3	{d=7, v=1}
-127430	水头乡	65536	183792	3	{ns=0}
-127431	水市乡	65536	185022	3	{ns=0}
-127432	按捺	96436	25353	2	{v=0}
-127433	化食	65536	21270	3	{v=0}
-127434	水平如镜	65536	130235	3	{l=0}
-127435	某人	65536	26576	3	{r=1}
-127436	李家沟	65536	129775	3	{ns=3}
-127437	水彩画	65536	185381	3	{n=0}
-127438	水平井	65536	185135	3	{n=0}
-127439	水性杨	93983	185571	1	null
-127440	水性杨花	65536	127439	3	{i=0}
-127441	成人节	65536	155916	3	{n=2}
-127442	桐城	100728	26704	1	null
-127443	内电	65558	20869	1	null
-127444	水成岩	65536	186060	3	{n=0}
-127445	水文学	65536	186947	3	{n=0}
-127446	商会	65536	21830	3	{n=5}
-127447	水族箱	65536	187019	3	{n=3}
-127448	效应	96049	25928	2	{n=42}
-127449	桔子	65536	26708	3	{n=4}
-127450	批办	94061	25209	2	{v=1, vn=4}
-127451	古县	65536	21476	3	{ns=0}
-127452	水晶体	65536	187186	3	{n=0}
-127453	挪窝	65536	25386	3	{v=0}
-127454	排水闸	65536	159976	3	{n=0}
-127455	水暖工	65536	187218	3	{n=0}
-127456	水曲柳	65536	187310	3	{n=0}
-127457	水月庵	101012	187332	2	{ns=0}
-127458	农谚	65536	20892	3	{n=0}
-127459	台子	65536	21488	3	{n=2}
-127460	参谋	65565	21442	2	{n=6, v=0, vn=0}
-127461	水月庵村	65536	127457	3	{ns=0}
-127462	暑期	65536	26257	3	{t=2}
-127463	水杨酸	89416	187428	2	{n=0}
-127464	水杨酸钠	65536	127463	3	{n=0}
-127465	水污染	65536	188701	3	{n=5}
-127466	水汪汪	65536	188710	3	{z=0}
-127467	参谒	65536	21442	3	{v=0}
-127468	局限	82907	23616	2	{n=0, v=11, vn=1}
-127469	水泄不	90581	188800	1	null
-127470	卷须	65536	21367	3	{n=0}
-127471	水泄不通	65536	127469	3	{i=3}
-127472	水泥板	65536	188833	3	{n=0}
-127473	摄影者	65536	123041	3	{n=1}
-127474	水洗布	65536	188883	3	{n=0}
-127475	枣岭	104034	26531	1	null
-127476	水流量	65536	188925	3	{n=0}
-127477	机关报	65536	167116	3	{n=7}
-127478	殿军	65536	27583	3	{n=1}
-127479	水浇地	65536	188931	3	{n=2}
-127480	单峰	65544	21333	1	null
-127481	水浒传	65536	188942	3	{n=0, nz=25}
-127482	周波	65536	21608	3	{n=0}
-127483	人间	65558	20154	2	{n=23, s=0}
-127484	水浮莲	65536	188970	3	{n=0}
-127485	水涨船	87850	189028	1	null
-127486	水果刀	65536	187480	3	{n=0}
-127487	展望	65536	23637	3	{v=25, vn=2}
-127488	捣碎	65536	25443	3	{v=0}
-127489	挥手	65536	25381	3	{v=2, vd=0}
-127490	水涨船高	65536	127485	3	{i=4}
-127491	展期	65536	23637	3	{n=1, v=0}
-127492	抬筐	65536	25260	3	{n=0}
-127493	双岭	65956	21452	1	null
-127494	序跋	65536	24207	3	{n=0}
-127495	塞规	65536	22622	3	{n=0}
-127496	光辉	65537	20809	2	{a=13, n=16, nr=1}
-127497	冷言	67126	20919	1	null
-127498	奔驰	65536	22868	3	{nz=4, v=3, vn=2}
-127499	商住	68013	21830	2	{j=2}
-127500	水淋淋	65536	189063	3	{z=0}
-127501	水深火	98604	189101	1	null
-127502	古史	65536	21476	3	{n=2}
-127503	光辐	65576	20809	1	null
-127504	奔驶	65536	22868	3	{v=0}
-127505	分担	65536	20998	3	{v=4, vn=0}
-127506	忆述	65536	24518	3	{v=0}
-127507	套换	65536	22871	3	{v=0}
-127508	华立	65536	21326	3	{nz=0}
-127509	守城	65536	23432	3	{v=1, vn=0}
-127510	入迷	65536	20837	3	{a=0}
-127511	忌辰	65536	24524	3	{n=2}
-127512	哀荣	65536	21696	3	{n=0}
-127513	水深火热	65536	127501	3	{i=0}
-127514	幼虎	65536	24188	3	{n=4}
-127515	水滴石	96165	189360	1	null
-127516	台安	71428	21488	1	null
-127517	利隆	66004	21033	1	null
-127518	水溶性	65536	189298	3	{n=0}
-127519	柑桔	65536	26577	3	{n=9}
-127520	夜以	67050	22812	1	null
-127521	口授	65536	21475	3	{v=0}
-127522	前段	65536	21069	3	{t=3}
-127523	水平仪	65536	185135	3	{n=0}
-127524	水滴石穿	65536	127515	3	{i=0}
-127525	古吉	67402	21476	1	null
-127526	氟化	99613	27679	1	null
-127527	想开	65536	24819	3	{v=0}
-127528	入选	65536	20837	3	{v=2, vn=1}
-127529	华章	65539	21326	2	{n=1}
-127530	水漉漉	65536	189381	3	{z=0}
-127531	拙笔	65536	25305	3	{n=0}
-127532	水漫金	103868	189415	1	null
-127533	水漫金山	65536	127532	3	{l=0}
-127534	文化史	65536	168038	3	{n=4}
-127535	分拣	65536	20998	3	{v=1, vn=0}
-127536	水火无	102765	189735	1	null
-127537	喜好	65536	21916	3	{an=0, v=1, vn=0}
-127538	水火无情	65536	127536	3	{i=0}
-127539	团徽	65536	22242	3	{n=1}
-127540	水灵灵	65536	189745	3	{z=1}
-127541	南征	69675	21335	1	null
-127542	正多边	101591	177180	1	null
-127543	幼虫	65536	24188	3	{n=0}
-127544	内疚	65536	20869	3	{a=2, an=0}
-127545	人防	65536	20154	3	{n=1}
-127546	劳驾	65536	21171	3	{v=0}
-127547	按揭	65536	25353	3	{v=0, vn=2}
-127548	人阵	65536	20154	3	{j=0}
-127549	光达	65536	20809	3	{nz=0}
-127550	水煤气	65536	189984	3	{n=0}
-127551	拙笨	65536	25305	3	{a=0}
-127552	少不	87020	23569	1	null
-127553	水牛儿	65536	190231	3	{n=0}
-127554	变样	65536	21464	3	{v=2}
-127555	水獭皮	65536	190505	3	{n=0}
-127556	水烟斗	65536	189851	3	{n=0}
-127557	投机者	65536	152512	3	{n=3}
-127558	夏令	72822	22799	2	{n=0}
-127559	水玻璃	65536	190583	3	{n=0}
-127560	双峰	65563	21452	1	null
-127561	水球场	65536	190655	3	{n=0}
-127562	水生物	65536	190939	3	{n=0}
-127563	捧腹	93875	25447	2	{v=0}
-127564	人际	65610	20154	2	{b=0, n=4}
-127565	康复	65536	24247	3	{v=8, vn=9}
-127566	水电厂	65536	190961	3	{n=0}
-127567	少东	83648	23569	1	null
-127568	古吴	65583	21476	1	null
-127569	水利化	65536	181989	3	{v=1, vn=1}
-127570	水磨工夫	65536	129286	3	{l=0}
-127571	分指	65556	20998	1	null
-127572	旅游业	65536	146162	3	{n=37}
-127573	水磨年糕	65536	129429	3	{n=0}
-127574	水稻所	65536	192247	3	{n=1}
-127575	敷衍	98543	25975	2	{v=1, vn=0}
-127576	档子	65536	26723	3	{n=0, q=1}
-127577	捐税	65536	25424	3	{n=0}
-127578	梵宫	65536	26805	3	{n=0}
-127579	歧化	89026	27495	1	null
-127580	利雅	65677	21033	1	null
-127581	基因	66298	22522	2	{n=53}
-127582	水笼头	65536	192504	3	{n=0}
-127583	基团	65536	22522	3	{n=0}
-127584	水管员	65536	192605	3	{n=1}
-127585	水米无	107457	192815	1	null
-127586	氧化	107195	27687	2	{v=1, vn=0}
-127587	展板	65536	23637	3	{n=1}
-127588	怪僻	65536	24618	3	{a=0}
-127589	水米无交	65536	127585	3	{i=0}
-127590	周济	65536	21608	3	{nr=0, v=0}
-127591	水粉画	65536	192837	3	{n=0}
-127592	水翼船	65536	193720	3	{n=1}
-127593	摸索	65536	25720	3	{v=13, vn=0}
-127594	水舀子	65536	194236	3	{n=0}
-127595	水磨坊	65536	191908	3	{n=1}
-127596	水花生	65536	194413	3	{n=0}
-127597	水萝卜	65536	194777	3	{n=0}
-127598	存有	65536	23384	3	{v=1}
-127599	坐商	65536	22352	3	{n=0}
-127600	旋木	81120	26059	1	null
-127601	水落石出	65536	127607	3	{i=1}
-127602	内痔	65536	20869	3	{n=0}
-127603	气喘喘	65536	177893	3	{z=0}
-127604	氢氧吹	95656	133766	1	null
-127605	拉下马	65536	157143	3	{l=1}
-127606	新闻学	65536	189751	3	{n=1}
-127607	水落石	106615	194809	1	null
-127608	水葫芦	65536	194855	3	{n=0}
-127609	晕晕	101324	26197	1	null
-127610	想当	92533	24819	1	null
-127611	水蒸气	65536	194932	3	{n=0}
-127612	水蛇腰	65536	195459	3	{n=0}
-127613	水蜜桃	65536	195544	3	{n=0}
-127614	枕木	65536	26517	3	{n=0}
-127615	水解蛋	97286	196255	1	null
-127616	指示管	65536	161375	3	{n=0}
-127617	各方	65536	21508	3	{r=38}
-127618	无可比	94603	173366	1	null
-127619	水解蛋白	65536	127615	3	{n=0}
-127620	水豆腐	65536	196866	3	{n=0}
-127621	水资源	65536	197120	3	{n=19}
-127622	合共	65536	21512	3	{d=0}
-127623	水车前	65536	197666	3	{n=0}
-127624	毫微米	65536	137161	3	{q=0}
-127625	教育班	65536	171358	3	{n=0}
-127626	水轮机	65536	197674	3	{n=0}
-127627	幽僻	65536	24189	3	{a=0, an=1}
-127628	水门汀	65536	199332	3	{n=0}
-127629	水银柱	65536	199090	3	{n=1}
-127630	水陆坦	106821	199426	1	null
-127631	出来	65536	20986	3	{v=203}
-127632	水陆坦克	65536	127630	3	{n=0}
-127633	案件	65536	26696	3	{n=214}
-127634	宏达	65536	23439	3	{nz=0}
-127635	水鳖子	65536	201106	3	{n=0}
-127636	水鸪鸪	65536	201446	3	{n=0}
-127637	永世长	104259	151419	1	null
-127638	水龙卷	65536	201813	3	{n=0}
-127639	各族	65536	21508	3	{n=1, r=76}
-127640	忠烈	65536	24544	3	{n=0}
-127641	光通	67021	20809	1	null
-127642	巨人	65536	24040	3	{n=12}
-127643	永世长存	65536	127637	3	{l=0}
-127644	永丰县	65536	151445	3	{ns=0}
-127645	永久磁铁	65536	133945	3	{l=0}
-127646	光速	65536	20809	3	{n=0}
-127647	永久性	65536	151466	3	{d=0, n=5}
-127648	民政厅	65536	179302	3	{n=3}
-127649	作鬼	65536	20316	3	{v=0}
-127650	原意	65536	21407	3	{n=0}
-127651	永乐乡	65536	151477	3	{ns=0}
-127652	机械师	65536	173065	3	{n=0}
-127653	永兴县	65536	152281	3	{ns=5}
-127654	永嘉县	65536	153454	3	{ns=0}
-127655	永垂不朽	65536	127685	3	{i=2}
-127656	新闻官	65536	189751	3	{n=1}
-127657	挥拳	65536	25381	3	{v=1}
-127658	字型	65536	23383	3	{n=0}
-127659	戏园	90692	25103	1	null
-127660	审稿	65536	23457	3	{v=0}
-127661	基地	76420	22522	2	{n=165}
-127662	合写	65536	21512	3	{v=1}
-127663	哈蜜	65540	21704	1	null
-127664	宏远	65536	23439	3	{nz=0}
-127665	团总	70319	22242	1	null
-127666	开发部	65536	160664	3	{n=1}
-127667	接收者	65536	159694	3	{n=0}
-127668	宽慰	65536	23485	3	{v=1, vn=1}
-127669	宿舍	84641	23487	2	{n=17}
-127670	前汉	65536	21069	3	{t=0}
-127671	按摩	92354	25353	2	{v=4, vn=4}
-127672	模拟式	65536	142285	3	{b=1}
-127673	枝干	65536	26525	3	{n=0}
-127674	死而复	96404	183898	1	null
-127675	永垂青史	65536	146442	3	{l=2}
-127676	永安村	65536	154862	3	{ns=0}
-127677	基址	65536	22522	3	{n=0}
-127678	想得	92499	24819	1	null
-127679	梧桐	98367	26791	2	{n=0}
-127680	水利厅	65536	181989	3	{n=2}
-127681	少于	65536	23569	3	{v=8}
-127682	升高	65536	21319	3	{v=6, vn=0}
-127683	巡逻	86530	24033	2	{v=6, vn=7}
-127684	备荒	65536	22791	3	{v=1}
-127685	永垂不	101226	153831	1	null
-127686	永定河	65536	154879	3	{ns=0}
-127687	执行者	65536	138039	3	{n=1}
-127688	永州市	65536	155459	3	{ns=0}
-127689	检验室	65536	151340	3	{n=2}
-127690	永常村	65536	155549	3	{ns=0}
-127691	永平镇	65536	155608	3	{ns=1}
-127692	喜娘	65536	21916	3	{n=0}
-127693	永年县	65536	155609	3	{ns=0}
-127694	基坑	65536	22522	3	{n=0}
-127695	恒牙	65536	24658	3	{n=0}
-127696	棍子	65536	26829	3	{n=1}
-127697	岁首	65536	23681	3	{t=3}
-127698	忧色	65536	24551	3	{n=0}
-127699	永往直	106631	155877	1	null
-127700	永往直前	65536	127699	3	{i=0}
-127701	无名氏	65536	173396	3	{n=0}
-127702	永恒性	65536	156087	3	{n=1}
-127703	永无宁日	65536	127705	3	{l=0}
-127704	怒容	65536	24594	3	{n=0}
-127705	永无宁	101618	157509	1	null
-127706	孤残	65536	23396	3	{j=1, n=0}
-127707	抵御	65536	25269	3	{v=12, vn=0}
-127708	围攻	65536	22260	3	{v=1, vn=0}
-127709	永无止境	65536	131770	3	{i=0}
-127710	永暑礁	65536	157686	3	{n=0}
-127711	永济市	65536	159411	3	{ns=0}
-127712	坐喷	69607	22352	1	null
-127713	永清县	65536	159594	3	{ns=2}
-127714	循环赛	65536	119776	3	{n=5}
-127715	张家集	72393	133273	1	null
-127716	水蒸汽	65536	194932	3	{n=1}
-127717	技战	88756	25216	1	null
-127718	怪兽	65536	24618	3	{n=0}
-127719	农负	65536	20892	3	{j=3}
-127720	永生永	107731	161412	1	null
-127721	永生永世	65536	127720	3	{l=0}
-127722	永胜县	65536	164417	3	{ns=5}
-127723	永葆青	101577	165291	1	null
-127724	想必	65536	24819	3	{d=6}
-127725	单工	65536	21333	1	null
-127726	永葆青春	65536	127723	3	{l=1}
-127727	永隆乡	65536	169963	3	{ns=2}
-127728	反光	67256	21453	2	{n=0, v=0}
-127729	台属	65536	21488	3	{n=1}
-127730	岳飞	65536	23731	3	{nr=0}
-127731	捕获	79297	25429	2	{v=1}
-127732	永顺县	65536	170463	3	{ns=2}
-127733	汀九桥	65536	127738	3	{nz=0}
-127734	文艺批	83087	180170	1	null
-127735	席面	65536	24109	3	{n=0}
-127736	毕其	105618	27605	1	null
-127737	户籍警	65536	132536	3	{n=0}
-127738	汀九	101008	27712	1	null
-127739	平行面	65536	166830	3	{n=2}
-127740	方程组	65536	172107	3	{n=0}
-127741	汁液	65536	27713	3	{n=2}
-127742	局面	65536	23616	3	{n=145}
-127743	农贷	65536	20892	3	{j=0, n=0}
-127744	农贸	65771	20892	2	{b=1, j=0}
-127745	反党	65536	21453	3	{v=1, vn=1}
-127746	求之不	103276	163841	1	null
-127747	求之不得	65536	127746	3	{i=1}
-127748	台山	68802	21488	2	{ns=0}
-127749	杜仲	65536	26460	3	{n=1}
-127750	各显	72235	21508	1	null
-127751	卡路	65602	21345	1	null
-127752	求全责	104963	164638	1	null
-127753	座落	65536	24231	3	{v=0}
-127754	求全责备	65536	127752	3	{i=0}
-127755	求助信	65536	164959	3	{n=1}
-127756	农资	65536	20892	3	{j=7}
-127757	批发	95179	25209	2	{v=6, vn=45}
-127758	求同存	103437	165314	1	null
-127759	求同存异	65536	127758	3	{i=2}
-127760	控管	65536	25511	3	{v=0, vn=1}
-127761	夏侯	65536	22799	3	{nr=0}
-127762	棵子	65536	26869	3	{n=0}
-127763	求大同	65536	166621	3	{i=0}
-127764	求援者	65536	169386	3	{n=1}
-127765	强心针	65536	151836	3	{n=0}
-127766	求田问	94477	173798	1	null
-127767	栽子	65536	26685	3	{n=0}
-127768	反共	65536	21453	3	{v=2}
-127769	待时	78448	24453	1	null
-127770	求田问舍	65536	127766	3	{i=0}
-127771	揭发	65536	25581	3	{v=4, vn=0}
-127772	想念	65536	24819	3	{v=2}
-127773	反其	65563	21453	1	null
-127774	可卡	70569	21487	1	null
-127775	合刊	65536	21512	3	{n=0}
-127776	包衣	65536	21253	3	{j=0, n=0, v=1, vn=1}
-127777	求真务	104325	174293	1	null
-127778	文艺报	65536	180170	3	{n=0}
-127779	求真务实	65536	127777	3	{i=0, l=6}
-127780	效忠	65536	25928	3	{v=0}
-127781	求知若渴	65536	133860	3	{i=1}
-127782	案例	100565	26696	2	{n=11}
-127783	求职者	65536	176642	3	{n=2}
-127784	有产阶	89676	174921	1	null
-127785	墨菊	65536	22696	3	{n=0}
-127786	富存	84821	23500	1	null
-127787	求贤若	99578	179930	1	null
-127788	前沿	65649	21069	2	{p=2, s=15}
-127789	恩同	92069	24681	1	null
-127790	求贤若渴	65536	127787	3	{i=0}
-127791	汇报会	65536	156240	3	{n=1}
-127792	汇款单	65536	158441	3	{n=3}
-127793	求知欲	65536	174491	3	{n=0}
-127794	汇率制	65536	160562	3	{n=4}
-127795	批号	65536	25209	3	{n=0}
-127796	参赛	65727	21442	2	{v=24, vn=20}
-127797	汇编器	65536	163521	3	{n=0}
-127798	单帮	65536	21333	3	{n=0}
-127799	参赞	65536	21442	3	{n=8}
-127800	汇编程序	65536	136920	3	{l=0}
-127801	出栏	65570	20986	2	{v=8, vn=2}
-127802	桀纣	65536	26688	3	{n=0}
-127803	汇编语言	65536	141498	3	{l=0}
-127804	场记	65536	22330	3	{n=0}
-127805	枳机	90543	26547	1	null
-127806	水龙吟	65536	201813	3	{n=1}
-127807	汇聚一	105278	163845	1	null
-127808	汇聚一堂	65536	127807	3	{i=0}
-127809	康威	65536	24247	3	{nz=1}
-127810	术语	65536	26415	3	{n=4}
-127811	汉中门	65536	166483	3	{ns=1}
-127812	庚酉	65536	24218	3	{m=0}
-127813	喷管	65536	21943	3	{n=1}
-127814	双差	65645	21452	1	null
-127815	汉城市	65536	168948	3	{ns=0}
-127816	有理数	65536	184488	3	{n=0}
-127817	汉堡包	65536	169031	3	{n=1}
-127818	存查	65536	23384	3	{v=0}
-127819	汉学家	65536	169868	3	{n=4}
-127820	汉寿县	65536	170021	3	{ns=0}
-127821	单幅	65536	21333	3	{b=0}
-127822	守备	65536	23432	3	{v=0}
-127823	汉川市	65536	170499	3	{ns=0}
-127824	周游	65536	21608	3	{v=1}
-127825	保龄	65547	20445	1	null
-127826	汉景帝	65536	172693	3	{n=0}
-127827	富宁	84689	23500	1	null
-127828	汉正街	65536	173961	3	{ns=0}
-127829	汉武帝	65536	173964	3	{n=0}
-127830	汉白玉	65536	176803	3	{n=3}
-127831	合剂	65536	21512	3	{n=1}
-127832	敦煌	94403	25958	2	{ns=19}
-127833	反冲	70721	21453	1	null
-127834	汉语拼音	65536	127851	3	{n=3}
-127835	导轨	65536	23548	3	{n=0}
-127836	撤席	65536	25764	3	{v=0}
-127837	柿椒	65536	26623	3	{n=1}
-127838	晕机	65536	26197	3	{v=0}
-127839	汊涧镇	65536	127952	3	{ns=0}
-127840	暮春	65536	26286	3	{t=1}
-127841	导轮	65536	23548	3	{n=0}
-127842	汕头市	65536	127848	3	{ns=10}
-127843	守夜	65536	23432	3	{v=0, vn=0}
-127844	普通机	65536	162865	3	{n=1}
-127845	人非	65538	20154	1	null
-127846	出格	65536	20986	3	{v=1}
-127847	妙高	80720	22937	1	null
-127848	汕头	103776	27733	2	{ns=10}
-127849	人面	65602	20154	1	null
-127850	汊流	65536	27722	3	{n=0}
-127851	汉语拼	88935	182291	1	null
-127852	汗如雨	107874	143970	1	null
-127853	汗如雨下	65536	127852	3	{i=0}
-127854	包袱	68749	21253	2	{n=29}
-127855	宁静	65536	23425	3	{a=7, an=4}
-127856	汗津津	65536	148997	3	{z=0}
-127857	汗流浃背	65536	127858	3	{i=0}
-127858	汗流浃	94885	149025	1	null
-127859	汗流满面	65536	128272	3	{i=1}
-127860	存栏	77428	23384	2	{v=0, vn=1}
-127861	根本法	65536	148070	3	{n=0}
-127862	化验	69045	21270	2	{n=0, v=1, vn=3}
-127863	汗浸浸	65536	149080	3	{z=0}
-127864	拳手	65536	25331	3	{n=0}
-127865	汗牛充	101233	150331	1	null
-127866	单干	65718	21333	2	{v=0}
-127867	夏候	65549	22799	1	null
-127868	汗牛充栋	65536	127865	3	{i=0}
-127869	床铺	65536	24202	3	{n=1}
-127870	双带	65536	21452	3	{j=0}
-127871	公粮	65536	20844	3	{n=1}
-127872	拳打	83159	25331	1	null
-127873	挤眉	92181	25380	1	null
-127874	包装	69424	21253	2	{n=12, v=2, vn=15}
-127875	全译	65729	20840	1	null
-127876	军用	66246	20891	2	{b=7, vn=1}
-127877	手工艺	92777	162023	2	{n=0}
-127878	汗背心	65536	154028	3	{n=0}
-127879	汗腺炎	65536	154202	3	{n=0}
-127880	富家	65536	23500	3	{n=1}
-127881	汗马功	106711	160588	1	null
-127882	汗马功劳	65536	127881	3	{i=0}
-127883	制霉	65538	21046	1	null
-127884	汝州	65536	27741	3	{n=0}
-127885	汛前	65536	27739	3	{t=2}
-127886	坚贞	77351	22362	2	{a=0}
-127887	汝阳县	65536	142305	3	{ns=2}
-127888	汞化	98603	27742	1	null
-127889	有理方	91176	184488	1	null
-127890	掌子	65536	25484	3	{n=0}
-127891	可取	65536	21487	3	{a=2, v=0}
-127892	汞化物	65536	127888	3	{n=0}
-127893	可变	68222	21487	2	{v=0, vn=1}
-127894	分摊	65536	20998	3	{v=2, vn=7}
-127895	宽打	74531	23485	1	null
-127896	汞溴红	65536	134958	3	{n=0}
-127897	江东区	65536	165489	3	{ns=1}
-127898	江克村	65536	166304	3	{ns=0}
-127899	容量	75927	23481	2	{n=29}
-127900	恳请	65536	24691	3	{v=1}
-127901	双幅	65536	21452	3	{b=0}
-127902	存根	65536	23384	3	{n=1}
-127903	内省	65536	20869	3	{v=0}
-127904	可口	71326	21487	2	{a=4, nz=0}
-127905	江北区	65536	166764	3	{ns=1}
-127906	反击	65536	21453	3	{v=5, vn=1}
-127907	挖苦	80684	25366	2	{v=2, vn=0}
-127908	反函	65902	21453	1	null
-127909	撤并	65536	25764	3	{v=1, vn=1}
-127910	江原道	65536	166900	3	{ns=0}
-127911	摊派	65536	25674	3	{v=7, vn=1}
-127912	军界	65536	20891	3	{n=1}
-127913	技术股	65536	129020	3	{n=0}
-127914	椒盐	65536	26898	3	{n=0}
-127915	机械式	65536	173065	3	{b=1}
-127916	可可	66351	21487	2	{n=1}
-127917	恳谈	92807	24691	2	{v=0}
-127918	反切	65536	21453	3	{n=0}
-127919	椰子	98614	26928	2	{n=1}
-127920	合力	65536	21512	3	{d=3, n=15, nz=1, v=0, vd=0, vn=1}
-127921	挡箭	87237	25377	1	null
-127922	拥簇	65536	25317	3	{v=0}
-127923	合办	65536	21512	3	{v=0}
-127924	反刍	70713	21453	2	{v=0}
-127925	江夏区	65536	168292	3	{ns=0}
-127926	包裹	67534	21253	2	{n=4, v=3, vn=1}
-127927	江山如	97918	169158	1	null
-127928	有理无	97648	184488	1	null
-127929	江山如画	65536	127927	3	{i=0}
-127930	投资者	65536	162250	3	{n=78}
-127931	江岸区	65536	169229	3	{ns=0}
-127932	拔掉	65536	25300	3	{v=2}
-127933	客串	65536	23458	3	{v=0}
-127934	叶黄	65555	21494	1	null
-127935	形式逻	74258	134617	1	null
-127936	条条框	96916	158590	1	null
-127937	江永县	65536	173197	3	{ns=0}
-127938	增多	65536	22686	3	{v=29, vn=5}
-127939	江河日	107961	173320	1	null
-127940	江河日下	65536	127939	3	{i=0}
-127941	江河行地	65536	136746	3	{i=0}
-127942	棚内	65536	26842	3	{s=1}
-127943	扼腕	65536	25212	3	{v=0}
-127944	存档	65536	23384	3	{v=0, vn=0}
-127945	江油市	65536	173326	3	{ns=0}
-127946	枣庄	100034	26531	2	{ns=2}
-127947	影格	65536	24433	3	{n=0}
-127948	杭州湾	65536	126702	3	{ns=0}
-127949	江泽民	65536	173394	3	{nr=439}
-127950	民主主	106939	173410	1	null
-127951	增大	65536	22686	3	{v=21, vn=2}
-127952	汊涧	89624	27722	1	null
-127953	各有	72164	21508	1	null
-127954	操纵箱	65536	135974	3	{n=0}
-127955	江洋大	97535	173408	1	null
-127956	披红	90260	25259	1	null
-127957	内眷	65536	20869	3	{n=0}
-127958	江洋大盗	65536	127955	3	{i=0}
-127959	案值	65536	26696	3	{n=9}
-127960	江津市	65536	173434	3	{ns=0}
-127961	彻骨	65536	24443	3	{z=1}
-127962	往返	80109	24448	2	{v=12, vd=0, vn=0}
-127963	捞稻	83035	25438	1	null
-127964	江海堤	89516	173516	1	null
-127965	欺上	95282	27450	1	null
-127966	江海堤防	65536	127964	3	{l=6}
-127967	江淮戏	65536	173635	3	{n=0}
-127968	摇头	91798	25671	2	{v=9}
-127969	江湖骗	104594	173739	1	null
-127970	江湖骗子	65536	127969	3	{n=0}
-127971	可否	65536	21487	3	{v=1}
-127972	江珧柱	65536	175164	3	{n=0}
-127973	操作符	65536	123853	3	{n=0}
-127974	抑菌	94895	25233	1	null
-127975	江苏省	65536	178980	3	{ns=60}
-127976	教育界	65536	171358	3	{n=4}
-127977	欺世	101110	27450	1	null
-127978	江米纸	65536	177352	3	{n=0}
-127979	制革	65536	21046	3	{v=0, vn=0}
-127980	江郎才	104370	182563	1	null
-127981	性关	80652	24615	1	null
-127982	江西省	65536	180692	3	{ns=24}
-127983	江郎才尽	65536	127980	3	{i=1}
-127984	江门市	65536	183869	3	{ns=2}
-127985	宿草	65536	23487	3	{n=0}
-127986	希罕	65536	24076	3	{a=1, v=0}
-127987	圆明	74283	22278	1	null
-127988	江阴市	65536	183945	3	{ns=2}
-127989	污七八	96025	130169	1	null
-127990	冷语	65536	20919	3	{n=0}
-127991	旋梯	65536	26059	3	{n=0}
-127992	污七八糟	65536	127989	3	{i=0}
-127993	扭断	65536	25197	3	{v=0}
-127994	执意	65536	25191	3	{d=8}
-127995	污水口	65536	137898	3	{n=1}
-127996	污泥浊	100300	138075	1	null
-127997	兴风	67362	20852	1	null
-127998	扎手	65536	25166	3	{a=0}
-127999	双座	65536	21452	3	{n=0}
-128000	污泥浊水	65536	127996	3	{i=1}
-128001	扎扎	91155	25166	1	null
-128002	各机	65536	21508	3	{r=1}
-128003	加的	65926	21152	1	null
-128004	气压计	65536	177368	3	{n=0}
-128005	毫无办	99095	138747	1	null
-128006	木质部	65536	183614	3	{n=0}
-128007	按方	96440	25353	1	null
-128008	污染区	65536	136777	3	{n=0}
-128009	污言秽	92190	145526	1	null
-128010	北教	66580	21271	1	null
-128011	污言秽语	65536	128009	3	{i=1}
-128012	抖落	65536	25238	3	{v=3}
-128013	汤头镇	65536	145749	3	{ns=0}
-128014	汤姆斯	101536	145895	1	null
-128015	汤姆斯杯	65536	128014	3	{nz=0}
-128016	喜孜	71809	21916	1	null
-128017	汤尤杯	91831	146501	2	{j=0, nz=0}
-128018	汤尤杯赛	65536	128017	3	{j=0}
-128019	汤杯赛	65536	149392	3	{j=0}
-128020	拐脖	65536	25296	3	{n=0}
-128021	汤阴县	65536	161365	3	{ns=0}
-128022	汨罗	103965	27752	2	{ns=0}
-128023	单式	65643	21333	1	null
-128024	棒头	65536	26834	3	{n=0}
-128025	各村	65536	21508	3	{r=3}
-128026	想想	93471	24819	2	{v=5}
-128027	柴店	65536	26612	3	{n=0}
-128028	抓手	65536	25235	3	{n=0}
-128029	单引	69119	21333	1	null
-128030	描图纸	65536	118621	3	{n=0}
-128031	汨罗市	65536	128022	3	{ns=1}
-128032	拳拳	96172	25331	1	null
-128033	套数	65536	22871	3	{n=1}
-128034	毕加	94749	27605	1	null
-128035	柑橘	65536	26577	3	{n=0}
-128036	汩汩	65536	27753	3	{o=4}
-128037	挺立	65536	25402	3	{v=9}
-128038	汪洋大	100016	133341	1	null
-128039	汪洋大海	65536	128038	3	{i=3}
-128040	汪洋恣肆	65536	129890	3	{i=0}
-128041	各条	65536	21508	3	{r=1}
-128042	汪塘	65536	27754	3	{n=1}
-128043	汲取	65536	27762	3	{v=11, vn=1}
-128044	急救车	65536	151218	3	{n=1}
-128045	汴京	65536	27764	3	{ns=0}
-128046	单弦	65536	21333	3	{n=0}
-128047	汹涌澎	99823	128324	1	null
-128048	庄稼院	65536	121162	3	{n=0}
-128049	汹汹	65536	27769	3	{z=0}
-128050	汹涌澎湃	65536	128047	3	{i=0}
-128051	有目共赏	65536	122453	3	{i=0}
-128052	操心	65536	25805	3	{v=1, vn=0}
-128053	汽化器	65536	134408	3	{n=0}
-128054	池塘	65536	27744	3	{n=5}
-128055	孤注	83547	23396	1	null
-128056	汽修业	65536	133600	3	{j=0}
-128057	单弱	65536	21333	3	{a=0}
-128058	汽油味	65536	140971	3	{n=1}
-128059	形影相随	65536	121504	3	{i=0}
-128060	掂量	65536	25474	3	{v=3}
-128061	汽笛声	65536	144653	3	{n=2}
-128062	全貌	65536	20840	3	{n=2}
-128063	杏干	65536	26447	3	{n=0}
-128064	末世	65536	26411	3	{n=0}
-128065	感叹词	65536	140576	3	{n=0}
-128066	汽轮机	65536	149856	3	{n=1}
-128067	汾河湾	65536	128071	3	{ns=0}
-128068	按时	65536	25353	3	{d=10}
-128069	客人	65536	23458	3	{n=91}
-128070	初芽	65536	21021	3	{n=1}
-128071	汾河	99781	27774	2	{ns=4}
-128072	北斗	65666	21271	2	{n=0}
-128073	杯水	87022	26479	1	null
-128074	汾阳市	65536	138695	3	{ns=0}
-128075	沁人心脾	65536	128081	3	{i=0}
-128076	梦呓	65536	26790	3	{n=0}
-128077	民主人	104220	173410	1	null
-128078	光量	65758	20809	1	null
-128079	反动	65619	21453	2	{a=7}
-128080	沁人肺腑	65536	136520	3	{l=0}
-128081	沁人心	94989	128101	1	null
-128082	反劫	65536	21453	3	{vn=1}
-128083	字头	65536	23383	3	{n=3}
-128084	婚约	65536	23130	3	{n=0}
-128085	枉渚	65536	26505	3	{ns=0}
-128086	合十	65536	21512	3	{v=1}
-128087	沁入心	102929	128784	1	null
-128088	汊港	65536	27722	3	{n=0}
-128089	坐地	76280	22352	1	null
-128090	沁入心扉	65536	128087	3	{i=0}
-128091	沁源县	65536	136251	3	{ns=2}
-128092	无的放矢	65536	120227	3	{i=2}
-128093	待机	78451	24453	2	{vn=2}
-128094	加盟	66084	21152	2	{v=2, vn=1}
-128095	婚纱	74157	23130	2	{n=2}
-128096	沁阳市	65536	146398	3	{ns=0}
-128097	北新	65610	21271	2	{nz=0}
-128098	印记	65536	21360	3	{n=4, v=2}
-128099	寿衣	65536	23551	3	{n=0}
-128100	悖论	65536	24726	3	{n=0}
-128101	沁人	103566	27777	1	null
-128102	料斗	65536	26009	3	{n=0}
-128103	沂蒙山	65536	134365	3	{ns=0}
-128104	喜宴	65536	21916	3	{n=0}
-128105	殿后	65536	27583	3	{v=0}
-128106	北方	65646	21271	2	{f=55, nz=0, s=26}
-128107	沃吕维	65536	128110	3	{nz=0}
-128108	沃尔夫	102081	130157	1	null
-128109	双引	69929	21452	1	null
-128110	沃吕	95607	27779	1	null
-128111	汽车业	65536	149848	3	{n=3}
-128112	沃尔夫斯	105555	128108	1	null
-128113	台州	68803	21488	2	{ns=9}
-128114	前清	65536	21069	3	{t=0}
-128115	印证	65536	21360	3	{n=0, v=2, vn=1}
-128116	沃尔夫斯堡	65536	128112	3	{ns=1}
-128117	发丝	65536	21457	3	{n=0}
-128118	替代法	65536	121970	3	{n=0}
-128119	沃尔特河	65536	134586	3	{ns=0}
-128120	沂水	65536	27778	3	{ns=0}
-128121	坐坐	65536	22352	3	{v=0}
-128122	怨言	65536	24616	3	{n=2}
-128123	分支	65536	20998	3	{n=16}
-128124	扎拉	76154	25166	1	null
-128125	沃野千	90803	143911	1	null
-128126	卡车	65536	21345	3	{n=9, q=0}
-128127	沃野千里	65536	128125	3	{i=0}
-128128	沅水	65536	27781	3	{ns=1}
-128129	沆瀣	108163	27782	1	null
-128130	就学	65536	23601	3	{v=1, vn=0}
-128131	沆瀣一	100466	128129	1	null
-128132	夜光	73071	22812	1	null
-128133	富岳	65536	23500	3	{nz=0}
-128134	沆瀣一气	65536	128131	3	{i=0}
-128135	椅披	65536	26885	3	{n=0}
-128136	沈泉庄	101688	135238	2	{ns=3}
-128137	沈泉庄村	65536	128136	3	{ns=3}
-128138	沈灶镇	65536	136179	3	{ns=0}
-128139	沈阳市	65536	145840	3	{ns=20}
-128140	沉住气	65536	165684	3	{v=0}
-128141	欺人	105858	27450	1	null
-128142	沉吟不	107228	166916	1	null
-128143	沉吟不决	65536	128142	3	{i=0}
-128144	沉心静	100478	169896	1	null
-128145	半死	70533	21322	2	{z=0}
-128146	沉心静气	65536	128144	3	{i=0}
-128147	县长	65536	21439	3	{n=26}
-128148	台币	65536	21488	3	{n=0}
-128149	沉水植	98863	173081	1	null
-128150	台布	65536	21488	3	{n=1}
-128151	基多	65536	22522	3	{ns=0}
-128152	沉水植物	65536	128149	3	{l=0}
-128153	希翼	65536	24076	3	{v=0}
-128154	沉淀剂	65536	173477	3	{n=0}
-128155	歌舞团	65536	168723	3	{n=19, nt=0}
-128156	沉湎酒	94763	173619	1	null
-128157	沉湎酒色	65536	128156	3	{i=0}
-128158	抓拍	65536	25235	3	{v=1}
-128159	内码	65536	20869	3	{n=0}
-128160	沉甸甸	65536	175389	3	{z=8}
-128161	沉重感	65536	182706	3	{n=0}
-128162	款型	65536	27454	3	{n=0}
-128163	沉闷闷	65536	183772	3	{z=0}
-128164	沉积岩	65536	176596	3	{n=0}
-128165	性别	65536	24615	3	{n=3}
-128166	发乎	65536	21457	3	{v=3}
-128167	毫不在	106881	132648	1	null
-128168	沉鱼落	89577	185441	1	null
-128169	摩天	94727	25705	1	null
-128170	沉鱼落雁	65536	128168	3	{i=1}
-128171	沉默寡	92850	186045	1	null
-128172	半殖	65564	21322	1	null
-128173	底下	65536	24213	3	{f=9}
-128174	截止	88234	25130	2	{v=1, vn=2}
-128175	分散	67521	20998	2	{a=15, ad=1, an=1, v=24, vd=1, vn=1}
-128176	末了	65536	26411	3	{t=4}
-128177	撰稿	97561	25776	2	{v=1, vn=0}
-128178	沉默寡言	65536	128171	3	{i=1}
-128179	沏茶	65536	27791	3	{v=1}
-128180	沐浴	65536	27792	3	{v=5, vn=2}
-128181	沐猴而	107286	129652	1	null
-128182	沐猴而冠	65536	128181	3	{i=0}
-128183	沙丁鱼	65536	174727	3	{n=0}
-128184	沙发床	65536	176215	3	{n=0}
-128185	沙坨地	65536	177134	3	{n=0}
-128186	拉丁语	65536	157133	3	{n=0}
-128187	沙头角	65536	177594	3	{ns=1}
-128188	分数	65644	20998	2	{n=4}
-128189	团扇	65536	22242	3	{n=0}
-128190	沙姆沙	107957	177740	1	null
-128191	沙姆沙伊	91996	128190	1	null
-128192	无机物	65536	178305	3	{n=0}
-128193	康宁	65536	24247	3	{a=0, nr=0, nz=0}
-128194	拍击	65536	25293	3	{v=1}
-128195	机械性	90229	173065	1	null
-128196	歉收	65536	27465	3	{v=1, vn=5}
-128197	构建	65536	26500	3	{v=18, vn=1}
-128198	出榜	65536	20986	3	{v=0}
-128199	沙姆沙伊赫	65536	128191	3	{ns=0}
-128200	口是	68145	21475	1	null
-128201	沙家浜	65536	178236	3	{ns=2}
-128202	沙尔达	105866	178330	1	null
-128203	发乳	65536	21457	3	{n=0}
-128204	沙尔达坂	108141	128202	1	null
-128205	宿营	83623	23487	2	{v=0}
-128206	沙尔达坂乡	65536	128204	3	{ns=0}
-128207	沙尘暴	65536	178334	3	{n=0}
-128208	沙市区	65536	178824	3	{ns=4}
-128209	沙拉油	65536	180047	3	{n=0}
-128210	沙捞越	104183	180196	1	null
-128211	分文	68212	20998	2	{n=3}
-128212	坐垫	65536	22352	3	{n=1}
-128213	沙捞越州	65536	128210	3	{ns=0}
-128214	沙文主	108174	180749	1	null
-128215	沙文主义	65536	128214	3	{l=0, n=0}
-128216	客位	65536	23458	3	{n=1}
-128217	沙沟村	65536	182565	3	{ns=0}
-128218	康定	65536	24247	3	{ns=1}
-128219	沙河市	65536	182585	3	{ns=0}
-128220	告警	65536	21578	3	{v=0}
-128221	沙湾镇	65536	183044	3	{ns=3}
-128222	客体	65536	23458	3	{n=4}
-128223	沙溪桥	65536	183088	3	{ns=3}
-128224	沙滩装	65536	183151	3	{n=0}
-128225	有理有	96970	184488	1	null
-128226	沙漠化	65536	183206	3	{v=0, vn=0}
-128227	印谱	65536	21360	3	{n=0}
-128228	正面图	65536	193124	3	{n=0}
-128229	沙特阿	102941	184063	1	null
-128230	沙特阿拉	107961	128229	1	null
-128231	毡垫	65536	27617	3	{n=0}
-128232	沙特阿拉伯	98654	128230	2	{ns=3}
-128233	沙特阿拉伯王	105965	128232	1	null
-128234	沙特阿拉伯王国	65536	128233	3	{ns=0}
-128235	沙田柚	65536	184758	3	{n=0}
-128236	扣缴	65536	25187	3	{v=0, vn=0}
-128237	沙矶头	101789	185468	1	null
-128238	沙矶头村	65536	128237	3	{ns=0}
-128239	沙色乡	65536	188152	3	{ns=3}
-128240	分斤	65537	20998	1	null
-128241	沙荒地	65536	188376	3	{n=0}
-128242	手提袋	65536	163538	3	{n=0}
-128243	沙里淘	90916	192082	1	null
-128244	捆绑	65536	25414	3	{v=2, vn=0}
-128245	沙里淘金	65536	128243	3	{i=0}
-128246	全资	65536	20840	3	{n=2}
-128247	沂河	65536	27778	3	{ns=1}
-128248	合口	71504	21512	1	null
-128249	就寝	65536	23601	3	{v=0}
-128250	沙钻鱼	65536	192833	3	{n=0}
-128251	有效期	65536	180714	3	{n=2}
-128252	悬乎	65536	24748	3	{a=0}
-128253	氧化剂	65536	127586	3	{n=0}
-128254	柘林	65536	26584	3	{ns=0}
-128255	各样	65536	21508	3	{r=0}
-128256	沙门氏	94517	193134	1	null
-128257	沙门氏菌	65536	128256	3	{n=0}
-128258	卡迪	65811	21345	1	null
-128259	沟沟壑	105524	133670	1	null
-128260	沛县	65536	27803	3	{ns=0}
-128261	沟沟壑壑	65536	128259	3	{n=1}
-128262	发亮	65536	21457	3	{v=4, vn=0}
-128263	没事儿	65536	167005	3	{v=4}
-128264	待查	65536	24453	3	{v=0}
-128265	没什么	65536	167058	3	{l=3}
-128266	没关系	65536	167749	3	{l=2}
-128267	合叶	65536	21512	3	{n=0}
-128268	没出息	65536	167884	3	{a=1}
-128269	末代	65536	26411	3	{f=0}
-128270	旦夕祸	89441	120557	1	null
-128271	岩鹰	65536	23721	3	{n=0}
-128272	汗流满	89105	149025	1	null
-128273	心烦意躁	65536	111871	3	{l=1}
-128274	发人	65541	21457	1	null
-128275	印象	65617	21360	2	{n=54}
-128276	没大没	104710	169721	1	null
-128277	没大没小	65536	128276	3	{l=0}
-128278	没头没脑	65536	128279	3	{i=0}
-128279	没头没	95237	169734	1	null
-128280	没奈何	65536	169754	3	{d=0}
-128281	沈农	65536	27784	3	{n=0}
-128282	没完没	108181	170334	1	null
-128283	没完没了	65536	128282	3	{l=0}
-128284	没心拉肠	65536	128285	3	{l=0}
-128285	没心拉	95356	171413	1	null
-128286	据称	65536	25454	3	{v=3}
-128287	北普	65559	21271	1	null
-128288	殷墟	65536	27575	3	{n=1, ns=0}
-128289	合同	72229	21512	2	{d=1, n=60}
-128290	没心没肺	65536	130805	3	{l=0}
-128291	没意思	65536	171745	3	{a=1}
-128292	图文	72305	22270	2	{n=4}
-128293	拘礼	65536	25304	3	{a=0}
-128294	抓捕	65536	25235	3	{v=2}
-128295	没成想	65536	172002	3	{l=1}
-128296	没有说	97961	173275	1	null
-128297	方向舵	65536	162385	3	{n=0}
-128298	宣示	65536	23459	3	{v=0}
-128299	坐堂	65536	22352	3	{v=2, vd=0, vn=0}
-128300	宣礼	83084	23459	1	null
-128301	没有说的	65536	128296	3	{l=0}
-128302	没法儿	65536	174759	3	{l=1}
-128303	单性	65545	21333	2	{b=0}
-128304	冷货	65536	20919	3	{n=0}
-128305	没深没	100334	175043	1	null
-128306	卡通	68627	21345	2	{n=19}
-128307	没深没浅	65536	128305	3	{l=0}
-128308	农转	65556	20892	1	null
-128309	圆材	65536	22278	3	{n=0}
-128310	挨着	65536	25384	3	{v=2}
-128311	捻线	90320	25467	2	{v=0}
-128312	没皮没	95235	177280	1	null
-128313	有线电	97267	187233	2	{n=0}
-128314	台座	65536	21488	3	{n=0}
-128315	没皮没脸	65536	128312	3	{l=0}
-128316	发令	70863	21457	2	{v=1, vn=0}
-128317	文武百	95372	174262	1	null
-128318	扭曲	65536	25197	3	{v=4, vn=1}
-128319	告诉	65536	21578	3	{v=137, vn=0}
-128320	没着没	94470	177426	1	null
-128321	放大纸	65536	163375	3	{n=0}
-128322	分时	65544	20998	1	null
-128323	没着没落	65536	128320	3	{i=0}
-128324	汹涌	99489	27769	2	{a=2, ad=0, n=0, v=1}
-128325	果木林	65536	168278	3	{n=0}
-128326	没精打	91009	178832	1	null
-128327	杂和面	65536	160560	3	{n=0}
-128328	没精打采	65536	128326	3	{i=0}
-128329	没良心	65536	180289	3	{l=0}
-128330	没说的	65536	182726	3	{l=1}
-128331	没齿不	103796	187729	1	null
-128332	没齿不忘	65536	128331	3	{i=0}
-128333	沤粪	65536	27812	3	{v=0}
-128334	沥水	65536	27813	3	{n=0}
-128335	沦肌浃	88704	141248	1	null
-128336	显影液	65536	135332	3	{n=0}
-128337	拘票	65536	25304	3	{n=0}
-128338	团拜	75975	22242	2	{v=1, vn=4}
-128339	沦肌浃髓	65536	128335	3	{i=0}
-128340	桐子	65536	26704	3	{n=0}
-128341	沥青厂	65536	139372	3	{n=1}
-128342	沦落异	108278	142193	1	null
-128343	沦落异乡	65536	128342	3	{l=0}
-128344	沦落街头	65536	138923	3	{l=0}
-128345	可喜	65536	21487	3	{a=25, ad=0, v=1}
-128346	分明	65536	20998	3	{a=6, d=7}
-128347	沦丧	65536	27814	3	{v=0, vn=0}
-128348	沦落风尘	65536	143138	3	{l=0}
-128349	商务	72233	21830	2	{n=17}
-128350	杜克	65536	26460	3	{nz=0}
-128351	梁子	96682	26753	1	null
-128352	掀翻	65536	25472	3	{v=1}
-128353	告诫	65536	21578	3	{v=8, vn=3}
-128354	沦陷区	65536	146859	3	{n=0}
-128355	沧州市	65536	130952	3	{ns=1}
-128356	沧桑感	65536	133627	3	{n=1}
-128357	沧海一粟	65536	128368	3	{i=0}
-128358	沧海桑田	65536	135105	3	{i=0}
-128359	沧海横流	65536	135578	3	{i=2}
-128360	杀身成	103143	158747	1	null
-128361	沧县	65536	27815	3	{ns=0}
-128362	拘禁	65536	25304	3	{v=1, vn=1}
-128363	沪宁线	65536	130711	3	{j=0, nz=0}
-128364	沭阳	106932	27821	2	{ns=0}
-128365	按期	65536	25353	3	{d=6}
-128366	沦为	65536	27814	3	{v=6}
-128367	宝洁	65536	23453	3	{nz=0}
-128368	沧海一	96454	134945	1	null
-128369	沫儿	65536	27819	3	{n=0}
-128370	少儿	67827	23569	2	{n=19}
-128371	沭阳县	65536	128364	3	{ns=0}
-128372	反反	69077	21453	1	null
-128373	沮丧	65536	27822	3	{a=1, an=0}
-128374	沱茶	65536	27825	3	{n=0}
-128375	公约	65552	20844	2	{n=12}
-128376	河北梆子	65536	135082	3	{n=2}
-128377	河东区	65536	162593	3	{ns=2}
-128378	河南坠子	65536	128382	3	{n=0}
-128379	少先	68700	23569	1	null
-128380	河南梆子	65536	132772	3	{n=0}
-128381	沪剧	65536	27818	3	{n=0}
-128382	河南坠	105002	163932	1	null
-128383	堂鼓	65536	22530	3	{n=0}
-128384	加码	65536	21152	3	{v=0, vn=0}
-128385	欺侮	65536	27450	3	{v=0, vn=0}
-128386	反叛	65536	21453	3	{v=0, vn=0}
-128387	河卵石	65536	163962	3	{n=0}
-128388	作鸟	65775	20316	1	null
-128389	河北乡	65536	163868	3	{ns=0}
-128390	河外星	96396	165403	1	null
-128391	河外星系	65536	128390	3	{l=0}
-128392	河晏水	100228	168788	1	null
-128393	河晏水清	65536	128392	3	{l=1}
-128394	动议	65536	21160	3	{n=0}
-128395	夏利	65536	22799	3	{nz=0}
-128396	河曲县	65536	168951	3	{ns=0}
-128397	河汊子	65536	170319	3	{n=0}
-128398	河沙堆	65536	170398	3	{n=1}
-128399	河津市	65536	170538	3	{ns=0}
-128400	弱视	65536	24369	3	{v=0}
-128401	河流镇	65536	170566	3	{ns=0}
-128402	愚蒙	65536	24858	3	{a=0}
-128403	军眷	65536	20891	3	{n=0}
-128404	河清海	102215	170762	1	null
-128405	恒生	65536	24658	3	{nz=2}
-128406	河清海晏	65536	128404	3	{i=0}
-128407	栏目	92520	26639	2	{n=26}
-128408	农运	67724	20892	1	null
-128409	底价	65536	24213	3	{n=2}
-128410	反右	65536	21453	3	{v=0}
-128411	河源市	65536	170901	3	{ns=0}
-128412	河滩地	65536	170990	3	{n=0}
-128413	抵扣	65536	25269	3	{v=1, vn=0}
-128414	河西走廊	65536	144590	3	{n=10}
-128415	分晓	65536	20998	3	{n=0, v=1}
-128416	河间市	65536	180985	3	{ns=0}
-128417	全路	65536	20840	3	{n=4}
-128418	台式	65536	21488	3	{b=0}
-128419	套曲	65536	22871	3	{n=0}
-128420	沸反盈	105599	128421	1	null
-128421	沸反	98012	27832	1	null
-128422	口服	68169	21475	2	{v=0, vn=6}
-128423	南拳	65536	21335	3	{n=2}
-128424	沸反盈天	65536	128420	3	{i=0}
-128425	动词	65536	21160	3	{n=1}
-128426	检查官	65536	138373	3	{n=3}
-128427	吃水	65536	21507	3	{a=1, n=4, v=0, vn=0}
-128428	沸沸扬	103233	134800	1	null
-128429	沸沸扬扬	65536	128428	3	{i=1}
-128430	压路	65962	21387	1	null
-128431	富川	65536	23500	3	{ns=1}
-128432	围栏	65536	22260	3	{n=1}
-128433	扁钢	65536	25153	3	{n=0}
-128434	摩擦系	91613	131174	1	null
-128435	惩一警	83160	113531	1	null
-128436	发作	65536	21457	3	{v=4, vn=0}
-128437	油乎乎	65536	178630	3	{z=0}
-128438	油位表	65536	178885	3	{n=0}
-128439	油光光	65536	179393	3	{z=0}
-128440	反向	65536	21453	3	{f=0}
-128441	油公司	65536	179428	3	{n=2}
-128442	操作系	85281	123853	1	null
-128443	卡那	65538	21345	1	null
-128444	油印机	65536	179944	3	{n=0}
-128445	桌子	65536	26700	3	{n=15}
-128446	套服	65536	22871	3	{n=0}
-128447	河西乡	65536	177796	3	{ns=0}
-128448	油压机	65536	179971	3	{n=0}
-128449	模拟战	65536	142285	3	{n=0}
-128450	执拗	65536	25191	3	{a=2}
-128451	平均额	65536	154281	3	{n=0}
-128452	檀香木	65536	138630	3	{n=0}
-128453	油品店	65536	180281	3	{n=2}
-128454	可嘉	65536	21487	3	{a=0}
-128455	油嘴滑	95165	180652	1	null
-128456	敷设	65536	25975	3	{v=1, vn=0}
-128457	油嘴滑舌	65536	128455	3	{i=0}
-128458	擦洗	65536	25830	3	{v=0}
-128459	油地毡	65536	180904	3	{n=0}
-128460	油头滑脑	65536	128467	3	{i=0}
-128461	油头粉面	65536	131979	3	{i=0}
-128462	北朝	65536	21271	2	{t=0}
-128463	披肝	87802	25259	1	null
-128464	油料作	99179	184593	1	null
-128465	抵抗	94510	25269	2	{v=3, vn=8}
-128466	受气	71311	21463	2	{a=0, v=0}
-128467	油头滑	95419	181420	1	null
-128468	油料作物	65536	128464	3	{l=0}
-128469	沦亡	65536	27814	3	{v=0}
-128470	圆柱	76232	22278	2	{n=1}
-128471	油晃晃	65536	184763	3	{z=0}
-128472	油桐树	65536	185288	3	{n=0}
-128473	撕破	84598	25749	2	{v=0}
-128474	梭梭	65536	26797	3	{n=0}
-128475	披肩	65536	25259	3	{n=0}
-128476	怪味	65536	24618	3	{n=0}
-128477	油椰子	65536	185512	3	{n=0}
-128478	油橄榄	65536	185788	3	{n=0}
-128479	毛毛茸	93242	177370	1	null
-128480	宣称	65536	23459	3	{v=7}
-128481	油母页	104764	186181	1	null
-128482	参选	65536	21442	3	{v=2, vn=0}
-128483	太翁	65536	22826	3	{n=0}
-128484	政治权	97042	159752	1	null
-128485	油母页岩	65536	128481	3	{l=0}
-128486	油毛毡	65536	186195	3	{n=1}
-128487	希腊	88027	24076	2	{ns=19}
-128488	构思	65536	26500	3	{v=4, vn=3}
-128489	意向表	65536	131855	3	{n=0}
-128490	古城	65536	21476	3	{n=17}
-128491	油毡纸	65536	186201	3	{n=0}
-128492	油汪汪	65536	186338	3	{z=0}
-128493	围桌	65536	22260	3	{n=0}
-128494	油汽炉	65536	186357	3	{n=0}
-128495	华约	65536	21326	3	{j=0}
-128496	油渣果	65536	186779	3	{n=0}
-128497	油气区	65536	186252	3	{n=4}
-128498	油炸鬼	65536	187440	3	{n=0}
-128499	油漆匠	65536	187006	3	{n=0}
-128500	听装	65536	21548	3	{b=0}
-128501	油然而	98520	187566	1	null
-128502	抵押	93976	25269	2	{v=9, vn=14}
-128503	油然而生	65536	128501	3	{i=3}
-128504	增子	65536	22686	3	{nr=0}
-128505	油煎火	99373	187590	1	null
-128506	口条	65536	21475	3	{n=0}
-128507	油煎火燎	65536	128505	3	{l=0}
-128508	华纳	65536	21326	3	{nz=5}
-128509	油画家	65536	188595	3	{n=1}
-128510	油盐酱	91252	189000	1	null
-128511	油盐酱醋	101900	128510	2	{i=1}
-128512	油盐酱醋柴	65536	128511	3	{l=1, n=0}
-128513	惧高	83315	24807	1	null
-128514	工作狂	65536	149420	3	{n=1}
-128515	利马	65536	21033	3	{ns=2}
-128516	慰问袋	65536	131231	3	{n=0}
-128517	扩编	65536	25193	3	{v=0}
-128518	技改	65536	25216	3	{j=7, vn=0}
-128519	兴高	65680	20852	1	null
-128520	口杯	65536	21475	3	{n=0}
-128521	油腔滑	92680	191692	1	null
-128522	文化城	65536	168038	3	{n=0}
-128523	油腔滑调	65536	128521	3	{i=0}
-128524	图景	65536	22270	3	{n=2}
-128525	油腻腻	65536	191731	3	{z=0}
-128526	坚辞	65536	22362	3	{vd=1}
-128527	无声无臭	65536	120877	3	{i=0}
-128528	油花花	65536	192041	3	{z=0}
-128529	油葫芦	65536	192483	3	{n=0}
-128530	忘记	65536	24536	3	{v=39}
-128531	商南	73580	21830	1	null
-128532	李四	102589	26446	1	null
-128533	油豆腐	65536	194494	3	{n=0}
-128534	巨制	65536	24040	3	{n=2}
-128535	加碘	65541	21152	1	null
-128536	扁锉	65536	25153	3	{n=0}
-128537	油郭乡	65536	195685	3	{ns=0}
-128538	槽子	65536	27133	3	{n=0}
-128539	油页岩	65536	197613	3	{n=0}
-128540	新生事物	65536	119506	3	{l=1}
-128541	拍卖	95926	25293	2	{v=40, vn=29}
-128542	治乱减	92420	147533	1	null
-128543	夜勤	65536	22812	3	{n=0}
-128544	文明村	65536	172894	3	{n=2}
-128545	扯裂	65536	25199	3	{v=0}
-128546	油菜子	65536	192340	3	{n=0}
-128547	治乱减负	65536	128542	3	{j=1}
-128548	未来派	65536	141629	3	{n=0}
-128549	水落管	65536	194809	3	{n=0}
-128550	建筑队	65536	149277	3	{n=2}
-128551	治国安	100888	149721	1	null
-128552	守寡	65536	23432	3	{v=0}
-128553	治国安民	65536	128551	3	{i=0}
-128554	杏仁露	65536	124046	3	{n=1}
-128555	油茶树	65536	192174	3	{n=0}
-128556	治外法	102122	150258	1	null
-128557	治外法权	65536	128556	3	{l=0}
-128558	治安警	65536	150885	3	{n=0}
-128559	感光计	65536	139888	3	{n=0}
-128560	治愈率	65536	152292	3	{n=3}
-128561	圆桌	76291	22278	2	{n=1}
-128562	北极	70149	21271	2	{n=4, ns=0}
-128563	撕碎	65536	25749	3	{v=2}
-128564	棒子	86375	26834	2	{n=0}
-128565	氢氧基	65536	133766	3	{n=0}
-128566	治水改	106264	155152	1	null
-128567	治水改土	65536	128566	3	{l=1}
-128568	带状	65536	24102	3	{n=0}
-128569	发信	65536	21457	3	{v=2}
-128570	治病救	108417	157601	1	null
-128571	治病救人	65536	128570	3	{i=2}
-128572	植物学	65536	134142	3	{n=0}
-128573	古堡	65536	21476	3	{n=0}
-128574	槲栎	65536	27122	3	{n=0}
-128575	沼泽地	65536	128811	3	{n=2}
-128576	株洲	103034	26666	2	{ns=4}
-128577	治疗仪	65536	157555	3	{n=0}
-128578	沼气	104246	27836	2	{n=7}
-128579	公署	65536	20844	3	{n=1}
-128580	沽名钓	93119	128587	1	null
-128581	沼气式	65536	128578	3	{b=1}
-128582	合唱	70885	21512	2	{v=1, vn=7}
-128583	氨基	90085	27688	2	{n=0}
-128584	沽名钓誉	65536	128580	3	{i=1}
-128585	沽源县	65536	135374	3	{ns=0}
-128586	沾亲带	102665	128692	1	null
-128587	沽名	90545	27837	1	null
-128588	吃法	65536	21507	3	{n=1}
-128589	延误	65536	24310	3	{v=9, vn=1}
-128590	沾亲带故	65536	128586	3	{i=0}
-128591	沾化县	65536	129816	3	{ns=2}
-128592	沾沾自	106677	136384	1	null
-128593	沾沾自喜	65536	128592	3	{i=1}
-128594	沾花惹	94989	142003	1	null
-128595	反咬	71910	21453	1	null
-128596	控制数	93648	117157	1	null
-128597	油漆厂	65536	187006	3	{n=1}
-128598	沾花惹草	65536	128594	3	{l=0}
-128599	半流	70212	21322	1	null
-128600	沟壑	65536	27807	3	{n=2}
-128601	沾边儿	65536	145339	3	{v=0}
-128602	坐失	65590	22352	1	null
-128603	抵挡	65536	25269	3	{v=1}
-128604	沿南乡	65536	130796	3	{ns=0}
-128605	全身	65603	20840	2	{b=1, n=6}
-128606	内秀	65536	20869	3	{a=0}
-128607	沿海地	107307	137484	1	null
-128608	婚育	65536	23130	3	{vn=1}
-128609	增容	65536	22686	3	{v=1, vn=0}
-128610	商厦	65536	21830	3	{n=14}
-128611	拿大	77228	25343	1	null
-128612	普及率	65536	147425	3	{n=4}
-128613	沿海地区	65536	128607	3	{s=1}
-128614	和约	65536	21644	3	{n=1}
-128615	沿边儿	65536	146254	3	{v=0}
-128616	沿门托	90549	147837	1	null
-128617	拒绝	65536	25298	3	{v=74, vd=0, vn=6}
-128618	沿门托钵	65536	128616	3	{i=0}
-128619	分期	68015	20998	2	{d=7}
-128620	围棋	65606	22260	2	{n=26}
-128621	沿阶草	65536	147915	3	{n=0}
-128622	少刻	65536	23569	3	{d=0}
-128623	内科	65536	20869	3	{n=5}
-128624	易燃物	99336	142267	2	{n=2}
-128625	泄殖腔	65536	140530	3	{n=0}
-128626	汕尾	65536	27733	3	{ns=0}
-128627	人马	65536	20154	3	{n=6}
-128628	反响	65536	21453	3	{n=44, v=0, vn=0}
-128629	泄气话	65536	140656	3	{n=0}
-128630	字字	81881	23383	2	{n=1, q=0}
-128631	执掌	65536	25191	3	{v=0}
-128632	安全门	65536	147108	3	{n=0}
-128633	暖气片	65536	138727	3	{n=2}
-128634	材积	88509	26448	2	{n=0}
-128635	泄水道	65536	140688	3	{n=0}
-128636	泄洪道	65536	140934	3	{n=0}
-128637	娇贵	65536	23047	3	{a=0}
-128638	泄私愤	65536	144157	3	{l=0}
-128639	泅渡	65536	27845	3	{v=1}
-128640	梁山	103498	26753	2	{ns=2}
-128641	怒形	92325	24594	1	null
-128642	泉州市	65536	130389	3	{ns=0}
-128643	捕蝇	94507	25429	1	null
-128644	泌尿	106527	27852	1	null
-128645	夜半	73189	22812	2	{t=1}
-128646	分机	65536	20998	3	{n=0}
-128647	泌尿器	65536	128644	3	{n=0}
-128648	富庶	65536	23500	3	{a=4, an=0}
-128649	富康	65536	23500	3	{nz=3}
-128650	泌阳县	65536	143480	3	{ns=0}
-128651	圆梦	65536	22278	3	{v=1}
-128652	泊位	65536	27850	3	{n=3}
-128653	截流	65536	25130	3	{v=13, vn=3}
-128654	泔水	65536	27860	3	{n=0}
-128655	分权	65536	20998	3	{v=2, vn=0}
-128656	安全阀	65536	147108	3	{n=0}
-128657	束手	100005	26463	1	null
-128658	发债	65536	21457	3	{v=0, vn=2}
-128659	台怀	65625	21488	1	null
-128660	法人股	65536	175350	3	{n=1}
-128661	告负	65536	21578	3	{v=2}
-128662	法兰克	97544	176044	1	null
-128663	法兰克福	65536	128662	3	{ns=3}
-128664	拍发	65536	25293	3	{v=0}
-128665	图曼	70466	22270	1	null
-128666	法兰西共	107023	143050	1	null
-128667	法兰西共和	106402	128666	1	null
-128668	油画展	65536	188595	3	{n=2}
-128669	氯丁	100102	27695	1	null
-128670	橡木	65536	27233	3	{n=0}
-128671	法兰西共和国	65536	128667	3	{ns=2}
-128672	华罗	66359	21326	1	null
-128673	反哺	65536	21453	3	{v=0}
-128674	宽敞	65536	23485	3	{a=12, an=1}
-128675	存款	83317	23384	2	{n=37, v=2, vn=4}
-128676	气象卫	101113	191918	1	null
-128677	出死	66995	20986	1	null
-128678	因陋	72591	22240	1	null
-128679	掩盖	65536	25513	3	{v=7, vn=0}
-128680	法制办	65536	176242	3	{j=0}
-128681	法医学	65536	176503	3	{n=0}
-128682	文史界	65536	168258	3	{n=2}
-128683	法国梧桐	65536	134007	3	{n=0}
-128684	欺人太	95936	128141	1	null
-128685	法国法郎	65536	135077	3	{n=0}
-128686	反唇	65601	21453	1	null
-128687	古墓	65536	21476	3	{n=0}
-128688	法塔赫	65536	177808	3	{nz=0}
-128689	忧虑	65536	24551	3	{v=7, vn=9}
-128690	法学家	65536	178594	3	{n=0}
-128691	商号	65536	21830	3	{n=4}
-128692	沾亲	104484	27838	1	null
-128693	吃派	65543	21507	1	null
-128694	法定人	102727	178646	1	null
-128695	法定人数	65536	128694	3	{l=0}
-128696	法属圭	108575	178842	1	null
-128697	法属圭亚	91671	128696	1	null
-128698	法属圭亚那	65536	128697	3	{ns=0}
-128699	法工委	65536	179233	3	{j=1}
-128700	法拉利	65536	180485	3	{nz=0}
-128701	法新社	65536	181228	3	{j=1, nt=4}
-128702	构想	65536	26500	3	{n=2, v=5, vn=13}
-128703	掩目	91684	25513	1	null
-128704	法律化	65536	179655	3	{v=0}
-128705	法治化	65536	183031	3	{v=0}
-128706	法国史	65536	177465	3	{n=1}
-128707	拼抢	65536	25340	3	{v=2, vn=0}
-128708	法涵诗	65536	183281	3	{nz=0}
-128709	法理学	65536	184898	3	{n=0}
-128710	法网恢	104037	187789	1	null
-128711	法网恢恢	65536	128710	3	{i=0}
-128712	守岁	65536	23432	3	{v=1}
-128713	法罗群	105009	187795	1	null
-128714	喜帖	65536	21916	3	{n=0}
-128715	出殡	65536	20986	3	{v=0, vn=0}
-128716	法罗群岛	65536	128713	3	{n=0}
-128717	法西斯	107448	190395	2	{n=3, nz=2}
-128718	法西斯化	65536	128717	3	{v=0}
-128719	拍合	65536	25293	3	{v=1}
-128720	梁峁	65536	26753	3	{n=0}
-128721	椰干	65536	26928	3	{n=0}
-128722	泗州戏	65536	128747	3	{n=0}
-128723	和缓	65536	21644	3	{a=0, v=0}
-128724	沂源	65536	27778	3	{n=0}
-128725	受洗	65536	21463	3	{v=0}
-128726	援用	65536	25588	3	{v=0}
-128727	华美	65536	21326	3	{a=1, an=0, nz=0, z=0}
-128728	原故	65536	21407	3	{n=0}
-128729	概况	65536	27010	3	{n=3}
-128730	泗水县	65536	132417	3	{ns=0}
-128731	暑气	65536	26257	3	{n=0}
-128732	分析	70987	20998	2	{v=100, vd=0, vn=125}
-128733	公而	65568	20844	1	null
-128734	泗阳县	65536	143168	3	{ns=0}
-128735	人高	65545	20154	1	null
-128736	变法	65707	21464	2	{v=0, vn=0}
-128737	指甲花	65536	160343	3	{n=0}
-128738	性周	86249	24615	1	null
-128739	掀腾	65536	25472	3	{v=1}
-128740	泛太平	100827	128870	1	null
-128741	容错	65536	23481	3	{b=1, nz=0, vn=0}
-128742	泛太平洋	65536	128740	3	{ns=0}
-128743	机械手	65536	173065	3	{n=0}
-128744	夏历	65536	22799	3	{n=0}
-128745	分枝	65536	20998	3	{n=0}
-128746	摇尾	97405	25671	1	null
-128747	泗州	103619	27863	1	null
-128748	原教	65760	21407	1	null
-128749	民主党	99020	173410	2	{n=34}
-128750	泛泛而	92903	133911	1	null
-128751	泛泛而谈	65536	128750	3	{i=0}
-128752	听见	65536	21548	3	{v=4}
-128753	泛滥成	99956	134433	1	null
-128754	泛滥成灾	65536	128753	3	{i=0}
-128755	泛神论	65536	137114	3	{n=0}
-128756	包谷	65536	21253	3	{n=0}
-128757	昭然	87720	26157	1	null
-128758	泛美主	108724	138698	1	null
-128759	性命	92520	24615	2	{n=2}
-128760	听觉	65536	21548	3	{n=0}
-128761	望尘莫	101218	138671	1	null
-128762	机关枪	65536	167116	3	{n=0}
-128763	尽管	84576	23613	2	{c=133, d=16}
-128764	氢化物	65536	127349	3	{n=0}
-128765	泛美主义	65536	128758	3	{n=0}
-128766	泡桐树	65536	132575	3	{n=0}
-128767	泡沫塑料	65536	130325	3	{l=0}
-128768	巨匠	65536	24040	3	{n=1}
-128769	描红	65536	25551	3	{n=0, v=0}
-128770	己见	65536	24049	3	{r=1}
-128771	泡沫橡胶	65536	134949	3	{l=0}
-128772	夜叉	65536	22812	3	{n=0}
-128773	出毛	65551	20986	1	null
-128774	泡沫剂	65536	133690	3	{n=0}
-128775	拨款	65536	25320	3	{n=0, v=19, vn=0}
-128776	方格砖	65536	167548	3	{n=0}
-128777	有条有	92681	181251	1	null
-128778	悬停	65536	24748	3	{v=0}
-128779	泡泡糖	65536	133744	3	{n=0}
-128780	富强	74248	23500	2	{a=9, an=3}
-128781	掩眼	89258	25513	1	null
-128782	戏子	65536	25103	3	{n=0}
-128783	喜幛	65536	21916	3	{n=0}
-128784	沁入	103572	27777	2	{v=0}
-128785	泡病号	65536	136020	3	{v=0}
-128786	案卷	65536	26696	3	{n=1}
-128787	发傻	65536	21457	3	{v=0}
-128788	奇丽	65536	22855	3	{a=1}
-128789	泡蘑菇	65536	140192	3	{v=0}
-128790	波伊茨	104706	152309	1	null
-128791	波伊茨帕	102764	128790	1	null
-128792	抽水马	88945	151122	1	null
-128793	懂行	65536	25026	3	{a=0}
-128794	原文	65536	21407	3	{n=0}
-128795	波伊茨帕斯	65536	128791	3	{ns=0}
-128796	图板	65536	22270	3	{n=0}
-128797	公职	65536	20844	3	{n=6}
-128798	巨匾	65536	24040	3	{n=1}
-128799	波伦亚	65536	152337	3	{ns=0}
-128800	法制化	65536	176242	3	{v=4, vd=0, vn=9}
-128801	夏县	65536	22799	3	{ns=0}
-128802	摊点	65536	25674	3	{n=11}
-128803	旋毛	85304	26059	1	null
-128804	商周	65536	21830	3	{t=4}
-128805	殖民地	65536	126509	3	{n=4}
-128806	波兰共	107163	152923	1	null
-128807	波兰共和	106541	128806	1	null
-128808	坐姿	65536	22352	3	{n=1}
-128809	气象台	65536	191918	3	{n=29}
-128810	波兰共和国	65536	128807	3	{ns=0}
-128811	沼泽	106255	27836	2	{n=1}
-128812	原料	65883	21407	2	{n=24}
-128813	波利格	103526	153108	1	null
-128814	池子	65536	27744	3	{n=0}
-128815	波利格拉	95038	128813	1	null
-128816	波利格拉菲	105973	128815	1	null
-128817	无名火	65536	173396	3	{n=0}
-128818	扑空	65536	25169	3	{v=0}
-128819	压轴	67964	21387	1	null
-128820	撑竿	81311	25745	1	null
-128821	左上	65536	24038	3	{f=3}
-128822	望而止	95201	147875	1	null
-128823	描绘	65536	25551	3	{v=16, vn=2}
-128824	左不	71437	24038	1	null
-128825	妇道	81997	22919	2	{n=0}
-128826	喜庆	65536	21916	3	{v=60, vn=0}
-128827	宽旷	65536	23485	3	{a=0}
-128828	波利格拉菲奇	65536	128816	3	{nz=0}
-128829	波司登	65536	153571	3	{nz=4}
-128830	出气	66668	20986	2	{v=0, vn=0}
-128831	星期日	65536	157876	3	{t=5}
-128832	审结	65536	23457	3	{j=0, v=1, vn=0}
-128833	寻衅	65536	23547	3	{v=0, vn=0}
-128834	吊窗	65536	21514	3	{n=0}
-128835	内窥	65541	20869	1	null
-128836	波士顿	65536	154838	3	{ns=12}
-128837	泉城	65536	27849	3	{ns=5}
-128838	尾身	65536	23614	3	{nr=0, ns=0}
-128839	拓跋	65536	25299	3	{nr=0}
-128840	康师	89324	24247	1	null
-128841	就席	65536	23601	3	{v=0}
-128842	朵朵	65536	26421	3	{q=3}
-128843	波多诺伏	65536	128852	3	{n=0}
-128844	变流	70489	21464	1	null
-128845	封一	65536	23553	3	{n=0}
-128846	和美	65536	21644	3	{a=1}
-128847	橄榄球	89471	125653	2	{n=8}
-128848	波多黎各	65536	133672	3	{ns=0}
-128849	忽视	65536	24573	3	{v=34, vn=0}
-128850	波密县	65536	155569	3	{ns=0}
-128851	波导管	65536	155623	3	{n=0}
-128852	波多诺	108604	154885	1	null
-128853	华而	70598	21326	1	null
-128854	封三	65536	23553	3	{n=0}
-128855	波尔多市	65536	130321	3	{ns=0}
-128856	波尔卡	65536	155647	3	{n=6, nz=0}
-128857	波峰浪	92965	155867	1	null
-128858	制高	65563	21046	1	null
-128859	单打	70650	21333	2	{n=7, vn=0}
-128860	波峰浪谷	65536	128857	3	{i=0}
-128861	抬肩	65536	25260	3	{n=0}
-128862	出水	65586	20986	1	null
-128863	波恩市	65536	156756	3	{ns=1}
-128864	波拉尔	65536	157364	3	{nz=0}
-128865	波斯尼亚	65536	128868	3	{ns=0}
-128866	奇事	65536	22855	3	{n=0}
-128867	文化大	79937	168038	1	null
-128868	波斯尼	108743	158106	1	null
-128869	武进市	65536	187812	3	{ns=1}
-128870	泛太	104561	27867	1	null
-128871	波波卡	99567	159949	1	null
-128872	波波卡特	108545	128871	1	null
-128873	末儿	65536	26411	3	{n=0}
-128874	波波卡特佩	99580	128872	1	null
-128875	桃花村	65536	144833	3	{ns=0}
-128876	案发	65536	26696	3	{v=1, vn=0}
-128877	分校	65536	20998	3	{n=1}
-128878	战争贩	90854	157496	1	null
-128879	带班	65536	24102	3	{v=0, vn=0}
-128880	冷轧	65536	20919	3	{v=0}
-128881	枉然	65536	26505	3	{z=0}
-128882	操持	65536	25805	3	{v=4}
-128883	毫米波	65536	144526	3	{n=0}
-128884	旅游区	65536	146162	3	{n=5}
-128885	波波卡特佩特	65536	128874	3	{ns=3}
-128886	波浪翻	100512	160085	1	null
-128887	是是	82495	26159	1	null
-128888	沃土	65536	27779	3	{n=4}
-128889	全过	65550	20840	1	null
-128890	波浪翻滚	65536	128886	3	{l=0}
-128891	千虑	69562	21315	1	null
-128892	毛细管	65536	182213	3	{n=0}
-128893	商品	78389	21830	2	{n=225}
-128894	波涌涛	92681	160119	1	null
-128895	数以百	98558	146774	1	null
-128896	波涌涛起	65536	128894	3	{l=0}
-128897	古奥	65536	21476	3	{a=0}
-128898	全运	67316	20840	1	null
-128899	波澜壮	90480	160647	1	null
-128900	波澜壮阔	65536	128899	3	{i=7}
-128901	波特兰	65536	161380	3	{ns=0}
-128902	巨厦	65536	24040	3	{n=0}
-128903	橡树	65536	27233	3	{n=0}
-128904	拍品	65536	25293	3	{n=0}
-128905	波状云	65536	161441	3	{n=0}
-128906	波纹管	65536	164516	3	{n=0}
-128907	出污	65546	20986	1	null
-128908	波罗的	100886	164674	1	null
-128909	波罗的海	65536	128908	3	{ns=44}
-128910	忍让	65536	24525	3	{v=0}
-128911	持旗者	65536	122492	3	{n=1}
-128912	扩股	65536	25193	3	{v=0, vn=1}
-128913	奇人	65536	22855	3	{n=1}
-128914	持续	91676	25345	2	{a=0, d=1, v=61, vd=169, vn=27}
-128915	波茨坦	65536	165651	3	{nz=0}
-128916	摩尔	94741	25705	1	null
-128917	波谲云	93109	167965	1	null
-128918	波谲云诡	65536	128917	3	{i=0}
-128919	泣不成	106154	128921	1	null
-128920	军礼	65536	20891	3	{n=0}
-128921	泣不	103815	27875	1	null
-128922	泣不成声	65536	128919	3	{i=3}
-128923	橘柑	65536	27224	3	{n=0}
-128924	泥古不	107658	163763	1	null
-128925	华联	65536	21326	3	{nz=4}
-128926	声东	76949	22768	1	null
-128927	欺凌	65536	27450	3	{v=1, vn=1}
-128928	泥古不化	65536	128924	3	{i=0}
-128929	发光	68220	21457	2	{v=3, vn=0}
-128930	比例图	65536	166105	3	{n=0}
-128931	双手	65536	21452	3	{n=25}
-128932	图标	65536	22270	3	{n=0}
-128933	团支	65563	22242	1	null
-128934	泥坨子	65536	164663	3	{n=0}
-128935	泥塑木	90332	164896	1	null
-128936	参量	65536	21442	3	{n=0}
-128937	塞车	65536	22622	3	{v=0}
-128938	压迫	65536	21387	3	{v=3, vn=5}
-128939	双打	65536	21452	3	{b=0, j=0, n=2}
-128940	森严	102439	26862	2	{a=2, an=0}
-128941	民主刚	100463	173410	1	null
-128942	处理	77845	22788	2	{v=146, vn=81}
-128943	分档	65536	20998	3	{v=0}
-128944	气势恢	103732	177164	1	null
-128945	泥塑木雕	65536	128935	3	{i=0}
-128946	泥水匠	65536	169987	3	{n=1}
-128947	圣三	75653	22307	1	null
-128948	圣上	65536	22307	3	{n=0}
-128949	团政	73232	22242	1	null
-128950	泥水选种	65536	144539	3	{l=0}
-128951	水泥浆	65536	188833	3	{n=0}
-128952	巨变	65536	24040	3	{n=1, v=3, vn=5}
-128953	泥沙俱	108976	170088	1	null
-128954	恭请	65536	24685	3	{v=0}
-128955	泥沙俱下	65536	128953	3	{i=0}
-128956	左云	86811	24038	1	null
-128957	泥河镇	65536	170114	3	{ns=0}
-128958	泥炭全	96029	171132	1	null
-128959	基层	65536	22522	3	{a=0, n=218}
-128960	原昭	65536	21407	3	{nr=0}
-128961	泥浆味	65536	170261	3	{n=1}
-128962	泥炭全肥	65536	128958	3	{n=1}
-128963	就座	65536	23601	3	{v=1}
-128964	康庄	87125	24247	2	{ns=0}
-128965	泥牛入	100944	171562	1	null
-128966	拼接	65536	25340	3	{v=0, vn=0}
-128967	泥牛入海	65536	128965	3	{i=0}
-128968	泥瓦匠	65536	172213	3	{n=0}
-128969	泥石流	65536	172994	3	{n=3}
-128970	汽车兵	65536	149848	3	{n=2}
-128971	出没	65536	20986	3	{v=2}
-128972	和而	74495	21644	1	null
-128973	柴扉	65536	26612	3	{n=1}
-128974	泥腿子	65536	175438	3	{l=1}
-128975	泥菩萨	65536	176056	3	{n=0}
-128976	泥足巨	108827	178562	1	null
-128977	全速	65536	20840	3	{d=0}
-128978	声乐	65536	22768	3	{n=9}
-128979	富态	65536	23500	3	{a=0}
-128980	图样	65536	22270	3	{n=0}
-128981	泥足巨人	65536	128976	3	{i=1}
-128982	双找	67388	21452	1	null
-128983	泥饭碗	65536	181564	3	{n=1}
-128984	注目礼	65536	151118	3	{n=1}
-128985	封二	65536	23553	3	{n=0}
-128986	教育社	65536	171358	3	{n=1}
-128987	构成	65536	26500	3	{n=13, v=72, vn=4}
-128988	注意力	65536	145519	3	{n=7}
-128989	标志牌	65536	153379	3	{n=7}
-128990	寿诞	65536	23551	3	{n=0}
-128991	场道	65536	22330	3	{n=2}
-128992	沼液	65536	27836	3	{n=0}
-128993	注射器	65536	144228	3	{n=1}
-128994	太阳镜	65536	134229	3	{n=0}
-128995	出油	65558	20986	1	null
-128996	注音字	101403	159571	1	null
-128997	图案	66493	22270	2	{n=14}
-128998	架子	100128	26550	2	{n=2}
-128999	扩胸	92826	25193	1	null
-129000	注音字母	65536	128996	3	{n=0}
-129001	殉情	65536	27529	3	{v=1}
-129002	包购	67616	21253	1	null
-129003	泪如泉	100961	136879	1	null
-129004	扩能	65536	25193	3	{v=0}
-129005	泪如泉涌	65536	129003	3	{i=1}
-129006	泪如雨下	65536	139786	3	{i=0}
-129007	泪汪汪	65536	141719	3	{z=0}
-129008	泪流满	90257	141934	1	null
-129009	氯化物	65536	129970	3	{n=0}
-129010	抄获	65536	25220	3	{v=0}
-129011	泪流满面	65536	129008	3	{l=1}
-129012	泪涔涔	65536	142017	3	{z=0}
-129013	泪痕斑	103015	144130	1	null
-129014	奇伟	65536	22855	3	{a=0}
-129015	惠而	93482	24800	1	null
-129016	泪痕斑斑	65536	129013	3	{l=0}
-129017	泪盈盈	65536	144373	3	{z=0}
-129018	双抢	65536	21452	3	{j=0}
-129019	审美	84352	23457	2	{v=5, vn=21}
-129020	技术	94984	25216	2	{n=938}
-129021	泰兴市	65536	141413	3	{ns=0}
-129022	泰利特	65536	141594	3	{nz=0}
-129023	泯没	65536	27887	3	{v=1}
-129024	泰卢固	108983	141907	1	null
-129025	治安费	65536	150885	3	{n=1}
-129026	泰卢固之	108962	129024	1	null
-129027	泰卢固之乡	108202	129026	1	null
-129028	泰卢固之乡党	65536	129027	3	{n=0}
-129029	掌心	65536	25484	3	{n=0}
-129030	各款	65536	21508	3	{r=1}
-129031	入门	65536	20837	3	{v=1, vn=0}
-129032	怯阵	65536	24623	3	{v=0}
-129033	合围	65536	21512	3	{v=0}
-129034	水仙花	104529	181141	2	{n=5}
-129035	泰国铢	65536	142830	3	{n=2}
-129036	泰坦尼	108226	142935	1	null
-129037	泰坦尼克	107550	129036	1	null
-129038	可塑	68207	21487	1	null
-129039	发冷	65536	21457	3	{v=1}
-129040	控股	65536	25511	3	{v=18, vn=19}
-129041	包赔	65536	21253	3	{v=0, vn=0}
-129042	注册名	65536	141548	3	{n=0}
-129043	妙龄	65536	22937	3	{n=0}
-129044	杳渺	65536	26483	3	{a=0}
-129045	泰坦尼克号	65536	129037	3	{nz=0}
-129046	喜形	75097	21916	1	null
-129047	泰安市	65536	143994	3	{ns=1}
-129048	泰山北斗	65536	129096	3	{i=0}
-129049	泰山压卵	65536	129212	3	{i=0}
-129050	握紧	65536	25569	3	{v=1}
-129051	泰山鸿毛	65536	148336	3	{i=0}
-129052	拂逆	95464	25282	1	null
-129053	泰州市	65536	144591	3	{ns=0}
-129054	息息相通	65536	113010	3	{i=0}
-129055	殷实	65536	27575	3	{a=1}
-129056	入阁	65536	20837	3	{v=2}
-129057	成群结队	65536	114174	3	{i=4}
-129058	泰晤士	103806	146773	1	null
-129059	泰晤士报	65536	129058	3	{n=4}
-129060	泰然处	109025	149543	1	null
-129061	水产品	65536	181091	3	{n=19}
-129062	基岩	65536	22522	3	{n=0}
-129063	控制权	65536	117157	3	{n=0}
-129064	双拐	65536	21452	3	{n=0}
-129065	军种	65536	20891	3	{n=1}
-129066	执政	94098	25191	2	{v=30, vn=12}
-129067	无关紧	84661	172730	1	null
-129068	泰然处之	65536	129060	3	{i=0}
-129069	巧立	86783	24039	1	null
-129070	底册	65536	24213	3	{n=0}
-129071	攀扯	65536	25856	3	{v=0}
-129072	拼搏	65536	25340	3	{v=33, vn=5}
-129073	泰然自若	65536	139530	3	{i=0}
-129074	泰王国	65536	150140	3	{ns=0}
-129075	泰米尔	108844	152420	2	{ns=0}
-129076	变温	71450	21464	1	null
-129077	出洋	65584	20986	2	{v=1}
-129078	泰米尔伊	103792	129075	1	null
-129079	江山市	65536	169158	3	{ns=0}
-129080	拉拉队	65536	162453	3	{n=0}
-129081	泰米尔伊拉	106105	129078	1	null
-129082	摘登	65536	25688	3	{v=1}
-129083	本行政	101853	187013	1	null
-129084	框架	65536	26694	3	{n=42}
-129085	双拥	70279	21452	2	{j=81, n=3}
-129086	入队	65536	20837	3	{v=0, vn=0}
-129087	泰米尔伊拉姆	65536	129081	3	{nz=2}
-129088	批处	85407	25209	1	null
-129089	泰米尔纳德	92060	141279	1	null
-129090	泰米尔纳德邦	65536	129089	3	{ns=1}
-129091	泰维安	65536	153061	3	{nz=0}
-129092	执教	65536	25191	3	{v=7, vn=0}
-129093	泱泱	106275	27889	2	{z=0}
-129094	华能	65536	21326	3	{nz=0}
-129095	槟榔	65536	27103	3	{n=0}
-129096	泰山北	103041	144226	1	null
-129097	批复	65536	25209	3	{v=2, vn=0}
-129098	泱泱大	106831	129093	1	null
-129099	左传	65536	24038	3	{n=1}
-129100	泱泱大国	65536	129098	3	{i=0}
-129101	团旗	65536	22242	3	{n=0}
-129102	泵房	65536	27893	3	{n=0}
-129103	泸定桥	65536	129162	3	{ns=1}
-129104	冷遇	65536	20919	3	{n=0}
-129105	泸州市	65536	129742	3	{ns=4}
-129106	发出	65536	21457	3	{v=110, vn=1}
-129107	水龙头	65536	201813	3	{n=0}
-129108	擦澡	65536	25830	3	{v=0}
-129109	泸沽湖	65536	133549	3	{ns=0}
-129110	泸西县	65536	140911	3	{ns=0}
-129111	泻珠溅	99536	130619	1	null
-129112	攀折	65536	25856	3	{v=0}
-129113	泻珠溅玉	65536	129111	3	{i=0}
-129114	泼冷水	65536	129130	3	{v=0}
-129115	团日	65536	22242	3	{n=0}
-129116	拳术	65536	25331	3	{n=2}
-129117	殿堂	65536	27583	3	{n=4}
-129118	泼水节	65536	135911	3	{t=0}
-129119	收购站	65536	177235	3	{n=0}
-129120	李大	85373	26446	1	null
-129121	泼陂河	90911	146677	1	null
-129122	发刊	65712	21457	1	null
-129123	南斯	65665	21335	1	null
-129124	圣人	65536	22307	3	{n=4}
-129125	出活	65536	20986	3	{v=0}
-129126	泼陂河镇	65536	129121	3	{ns=0}
-129127	款子	65536	27454	3	{n=0}
-129128	泽及后	108978	130048	1	null
-129129	光闪	65570	20809	1	null
-129130	泼冷	101414	27900	1	null
-129131	泰山区	65536	144226	3	{ns=0}
-129132	泽及后人	65536	129128	3	{i=0}
-129133	南方	65536	21335	3	{f=71, nr=0, nz=0, s=19}
-129134	泽宁根	65536	132023	3	{ns=0}
-129135	泽州县	65536	132628	3	{ns=3}
-129136	桌布	65536	26700	3	{n=1}
-129137	怪圈	65536	24618	3	{n=1}
-129138	泾河乡	65536	135535	3	{ns=0}
-129139	巧笑	87792	24039	1	null
-129140	场部	65536	22330	3	{n=2}
-129141	泾渭不分	65536	129143	3	{i=0}
-129142	单据	65536	21333	3	{n=5}
-129143	泾渭不	108143	135913	1	null
-129144	披荆	89593	25259	1	null
-129145	声价	65536	22768	3	{n=0}
-129146	欠产	65536	27424	3	{v=0}
-129147	泾县	65536	27902	3	{ns=2}
-129148	梦境	65536	26790	3	{n=3}
-129149	日用百	84379	175997	1	null
-129150	泾渭分明	65536	130160	3	{i=0}
-129151	川贝	65536	24029	3	{n=0}
-129152	洁身自	106247	144753	1	null
-129153	入院	65536	20837	3	{v=1, vn=1}
-129154	梁平	103502	26753	1	null
-129155	人鱼	65536	20154	3	{n=0}
-129156	洁身自好	65536	129152	3	{i=0}
-129157	城根	65536	22478	3	{n=0}
-129158	洁净	65536	27905	3	{a=6, an=1}
-129159	动身	65536	21160	3	{v=2}
-129160	洋为中	99173	174379	1	null
-129161	欲念	65536	27442	3	{n=0}
-129162	泸定	102378	27896	1	null
-129163	怀中	65536	24576	3	{n=1}
-129164	毡子	65536	27617	3	{n=1}
-129165	洋为中用	65536	129160	3	{l=2}
-129166	挑战者	89975	136825	2	{n=2, nz=1}
-129167	洋务派	65536	175506	3	{n=0}
-129168	冰醋	65540	20912	1	null
-129169	撤换	65536	25764	3	{v=3}
-129170	晒烟	65536	26194	3	{n=0}
-129171	洋华堂	65536	175679	3	{n=2}
-129172	桐庐	103356	26704	1	null
-129173	洋嗓子	65536	176324	3	{n=0}
-129174	洋地黄	65536	176673	3	{n=0}
-129175	洋娃娃	65536	177396	3	{n=0}
-129176	尾追	65536	23614	3	{v=0}
-129177	洋媳妇	65536	177572	3	{n=1}
-129178	全部	65536	20840	3	{a=0, m=263, n=1}
-129179	喜忧	73766	21916	1	null
-129180	原有	65536	21407	3	{b=0, v=31, vn=10}
-129181	枫林	65536	26539	3	{n=0}
-129182	出浴	65536	20986	3	{v=1}
-129183	周率	65536	21608	3	{n=0}
-129184	存活	73823	23384	2	{v=1, vn=1}
-129185	出海	66679	20986	2	{v=4, vn=0}
-129186	洋快餐	65536	178908	3	{n=0}
-129187	店钱	65536	24215	3	{n=0}
-129188	洋枪队	65536	180891	3	{n=0}
-129189	扎曲	65536	25166	3	{ns=0}
-129190	川资	65536	24029	3	{n=0}
-129191	岳麓	86659	23731	1	null
-129192	夏商	77317	22799	1	null
-129193	民主化	65536	173410	3	{an=0, n=1, v=3, vn=4}
-129194	洋柿子	65536	180976	3	{n=0}
-129195	印迹	65536	21360	3	{n=1}
-129196	武装带	65536	185998	3	{n=2}
-129197	巨响	65536	24040	3	{n=3}
-129198	洋模特	65536	181522	3	{n=3}
-129199	全都	65536	20840	3	{d=12}
-129200	死亡线	65536	171247	3	{n=1}
-129201	泻湖	65536	27899	3	{n=2}
-129202	洋橄榄	65536	181557	3	{n=0}
-129203	光阴	67185	20809	2	{n=3}
-129204	洋洋万言	65536	129230	3	{l=0}
-129205	摊牌	65536	25674	3	{v=2, vn=0}
-129206	庆贺	86176	24198	2	{nr=0, v=8, vn=5}
-129207	带电	65536	24102	3	{v=1, vn=0}
-129208	撤掉	65536	25764	3	{v=3}
-129209	棘爪	65536	26840	3	{n=0}
-129210	南昆	65734	21335	1	null
-129211	原木	65536	21407	3	{n=1}
-129212	泰山压	107684	144226	1	null
-129213	洋洋大观	65536	132078	3	{i=0}
-129214	洋洋得意	65536	133726	3	{i=1}
-129215	原本	65536	21407	3	{d=15, n=6}
-129216	南昌	66891	21335	2	{ns=20}
-129217	寻觅	65536	23547	3	{v=2, vn=0}
-129218	宽松	65536	23485	3	{a=7, an=0}
-129219	坐定	65536	22352	3	{v=0}
-129220	扑簌	82892	25169	1	null
-129221	洋洋洒洒	65536	137177	3	{i=0}
-129222	喜怒	73525	21916	1	null
-129223	泳协	65536	27891	3	{j=2}
-129224	洋洋自得	65536	142513	3	{i=1}
-129225	洋浦港	65536	182359	3	{ns=0}
-129226	加筋	66452	21152	1	null
-129227	洋白菜	65536	184686	3	{n=0}
-129228	框框	65536	26694	3	{n=2}
-129229	洋红色	65536	186771	3	{n=0}
-129230	洋洋万	93876	182268	1	null
-129231	洋绣球	65536	186836	3	{n=0}
-129232	加筑	65536	21152	3	{v=0}
-129233	洋里洋	101567	191677	1	null
-129234	左侧	65536	24038	3	{f=5}
-129235	洋里洋气	65536	129233	3	{z=0}
-129236	洋鬼子	65536	194093	3	{n=0}
-129237	洗劫一	97886	157008	1	null
-129238	梨木	65536	26792	3	{n=0}
-129239	洒水机	65536	132044	3	{n=1}
-129240	洗劫一空	65536	129237	3	{l=2}
-129241	洗头膏	65536	158681	3	{n=0}
-129242	台扇	65536	21488	3	{n=0}
-129243	喜性	65536	21916	3	{a=1}
-129244	拒腐	77497	25298	1	null
-129245	洗心革	90498	160360	1	null
-129246	墨西	76161	22696	1	null
-129247	洗发剂	65536	157302	3	{n=0}
-129248	想方	77768	24819	1	null
-129249	听讲	65536	21548	3	{v=1}
-129250	性器	89208	24615	1	null
-129251	原材	65840	21407	1	null
-129252	洗心革面	65536	129245	3	{i=0}
-129253	洗手不干	65536	129255	3	{l=0}
-129254	泡泡纱	65536	133744	3	{n=0}
-129255	洗手不	105075	161008	1	null
-129256	宏阔	65536	23439	3	{a=2, an=0}
-129257	旋涡	93574	26059	2	{n=1}
-129258	洗染店	65536	162424	3	{n=0}
-129259	毁于	106575	27585	1	null
-129260	店铺	65536	24215	3	{n=8}
-129261	增幅	65536	22686	3	{n=24}
-129262	技校	85195	25216	2	{n=1}
-129263	洗池台	65536	163589	3	{n=1}
-129264	听证	73841	21548	2	{v=1, vn=2}
-129265	洗漱间	65536	164310	3	{n=1}
-129266	弱质	65536	24369	3	{a=0}
-129267	备要	65536	22791	3	{n=3}
-129268	支撑网	65536	155675	3	{n=1}
-129269	洗碗机	65536	166716	3	{n=0}
-129270	横眉怒	95147	179367	1	null
-129271	同一	73314	21516	2	{b=17, v=0}
-129272	原来	65536	21407	3	{b=47, d=61, n=1, t=0}
-129273	听诊	71972	21548	2	{v=0}
-129274	洗精煤	65536	167779	3	{n=2}
-129275	旅游品	65536	146162	3	{n=0}
-129276	沙漠地	65536	183206	3	{n=0}
-129277	恭贺	86968	24685	2	{v=3}
-129278	洗涤剂	65536	163913	3	{n=0}
-129279	圣何	74065	22307	1	null
-129280	发动	66025	21457	2	{v=60, vn=0}
-129281	同上	65536	21516	3	{v=0}
-129282	有过之而	96507	122576	1	null
-129283	洗耳恭	107736	168664	1	null
-129284	洗耳恭听	65536	129283	3	{i=1}
-129285	康必	85487	24247	1	null
-129286	水磨工	104743	191908	1	null
-129287	映照	65536	26144	3	{v=4, vn=0}
-129288	洗脸盆	65536	168925	3	{n=0}
-129289	壮锦	65536	22766	3	{n=0}
-129290	替死	82223	26367	1	null
-129291	洗衣粉厂	65536	137068	3	{n=1}
-129292	听话	65536	21548	3	{a=2}
-129293	反坦	71070	21453	1	null
-129294	水准器	65536	181890	3	{n=0}
-129295	洗车点	65536	172555	3	{n=1}
-129296	客厅	65536	23458	3	{n=9}
-129297	同业	72475	21516	2	{n=5}
-129298	毛毛虫	65536	177370	3	{n=0}
-129299	洛克希	104798	133053	1	null
-129300	告辞	65536	21578	3	{v=2}
-129301	洛克希德	65536	129299	3	{nz=0}
-129302	洛宁县	65536	135667	3	{ns=0}
-129303	枫树	65536	26539	3	{n=0}
-129304	洛山基	65536	135907	3	{n=0}
-129305	洛杉矶	105240	138683	2	{ns=8}
-129306	洛杉矶市	65536	129305	3	{ns=1}
-129307	愚蠢	65536	24858	3	{a=2, an=0}
-129308	惯贼	65536	24815	3	{n=0}
-129309	围歼	65536	22260	3	{v=0, vn=0}
-129310	洛里拉	104809	149566	1	null
-129311	怀仁	89822	24576	1	null
-129312	洛里拉德	65536	129310	3	{nz=4}
-129313	毫不客	99260	132648	1	null
-129314	挖补	65536	25366	3	{v=0}
-129315	听说	65536	21548	3	{v=46}
-129316	月亮门	101209	159583	1	null
-129317	洛阳纸贵	65536	139289	3	{i=0}
-129318	巨商	65536	24040	3	{n=1}
-129319	无机盐	65536	178305	3	{n=0}
-129320	托举	65536	25176	3	{v=2, vn=0}
-129321	洞井乡	65536	130672	3	{ns=0}
-129322	洞察力	65536	134074	3	{n=0}
-129323	反垄	65854	21453	1	null
-129324	受潮	65536	21463	3	{v=0}
-129325	听课	65536	21548	3	{v=2, vn=1}
-129326	威达	65536	23041	3	{nz=0}
-129327	洛阳城	65536	150693	3	{ns=0}
-129328	洞庭湖	99293	134792	2	{n=1, ns=2}
-129329	洞庭湖畔	65536	129328	3	{ns=0}
-129330	录音	87514	24405	2	{j=0, n=0, v=1, vn=1}
-129331	拨浪	75444	25320	1	null
-129332	洞房花	100444	135706	1	null
-129333	字帖	65536	23383	3	{n=0}
-129334	摇床	65536	25671	3	{n=0}
-129335	洞房花烛	65536	129332	3	{i=0}
-129336	洞烛其	106436	139446	1	null
-129337	水力学	65536	182103	3	{n=0}
-129338	可好	65536	21487	3	{d=0}
-129339	戳记	65536	25139	3	{n=0}
-129340	洞烛其奸	65536	129336	3	{i=0}
-129341	振耳	89105	25391	1	null
-129342	懒骨	91168	25042	1	null
-129343	洞若观	100568	144064	1	null
-129344	同义	69943	21516	2	{vn=0}
-129345	扑粉	65536	25169	3	{n=0, v=0}
-129346	抱恨终身	65536	115646	3	{l=0}
-129347	洞若观火	65536	129343	3	{i=0}
-129348	津南区	65536	130237	3	{ns=0}
-129349	津巴布	90470	132954	1	null
-129350	欠佳	65536	27424	3	{a=3, v=1}
-129351	带病	65536	24102	3	{d=3}
-129352	沤肥	65536	27812	3	{vn=0}
-129353	棚圈	65536	26842	3	{n=0}
-129354	动轮	65536	21160	3	{n=0}
-129355	沾光	65536	27838	3	{v=1}
-129356	津巴布韦	108508	129349	2	{ns=12}
-129357	津巴布韦共	107717	129356	1	null
-129358	单摆	65536	21333	3	{n=0}
-129359	暮气	93928	26286	2	{n=0}
-129360	椭圆形	65536	125229	3	{n=2}
-129361	津巴布韦共和	107093	129357	1	null
-129362	津巴布韦共和国	65536	129361	3	{ns=0}
-129363	津津乐	92419	136843	1	null
-129364	槽床	65536	27133	3	{n=0}
-129365	振聋	95092	25391	1	null
-129366	津津乐道	65536	129363	3	{i=3}
-129367	津津有味	65536	135692	3	{i=1}
-129368	同乡	65536	21516	3	{n=3}
-129369	出港	65536	20986	3	{v=0, vn=0}
-129370	喜悦	65536	21916	3	{a=14, an=15, n=1}
-129371	津贴费	65536	145050	3	{n=0}
-129372	洪水猛兽	65536	138545	3	{i=1}
-129373	发包	65536	21457	3	{v=2, vn=0}
-129374	欺压	65536	27450	3	{v=1, vn=0}
-129375	夹生	65547	22841	1	null
-129376	动辄	65536	21160	3	{d=7, v=2}
-129377	洪洞县	65536	156138	3	{ns=0}
-129378	出游	65536	20986	3	{v=3, vn=1}
-129379	洪水位	65536	155904	3	{n=0}
-129380	字幅	65536	23383	3	{n=1}
-129381	洪泽县	65536	156105	3	{ns=3}
-129382	洪流滚	101013	156173	1	null
-129383	思不	91498	24605	1	null
-129384	包身	66529	21253	1	null
-129385	左倾	65536	24038	3	{b=1}
-129386	沁县	65536	27777	3	{ns=6}
-129387	枫桥	65536	26539	3	{n=0}
-129388	民办教	102944	174533	1	null
-129389	扯谎	65536	25199	3	{v=0}
-129390	太阳雨	65536	134229	3	{n=0}
-129391	洪流滚滚	65536	129382	3	{l=0}
-129392	洪湖市	65536	156450	3	{ns=1}
-129393	快餐部	65536	156452	3	{n=0}
-129394	敦睦	65536	25958	3	{vn=0}
-129395	古字	65536	21476	3	{n=0}
-129396	字幕	65536	23383	3	{n=3}
-129397	洪福齐	106576	159323	1	null
-129398	告退	65536	21578	3	{v=0}
-129399	折光镜	65536	141341	3	{n=0}
-129400	廉颇	77257	24265	1	null
-129401	洪福齐天	65536	129397	3	{i=0}
-129402	洗衣店	65536	170760	3	{n=0}
-129403	居里	84772	23621	2	{nr=0, q=0}
-129404	洪都拉	103375	165321	1	null
-129405	朋比	102588	26379	1	null
-129406	洪都拉斯	65536	129404	3	{ns=5}
-129407	是样	100450	26159	1	null
-129408	冷酷	65536	20919	3	{a=1, an=1}
-129409	毁伤	65536	27585	3	{v=0}
-129410	同事	65536	21516	3	{n=16, v=0}
-129411	尾部	65536	23614	3	{n=2}
-129412	洪雅县	65536	166801	3	{ns=0}
-129413	洮南	65536	27950	3	{n=0}
-129414	扎染	65536	25166	3	{v=0}
-129415	圣保	65692	22307	1	null
-129416	洱海	65536	27953	3	{ns=4}
-129417	基希	65801	22522	1	null
-129418	梗概	65536	26775	3	{n=0}
-129419	洲际	105873	27954	2	{b=3, nz=0}
-129420	朦胧	87025	26406	2	{a=1, an=0}
-129421	洲际导	105047	129419	1	null
-129422	暂时	96989	26242	2	{b=16, d=17}
-129423	搜索	93021	25628	2	{v=0, vn=2}
-129424	洲际导弹	65536	129421	3	{n=0}
-129425	太药	65536	22826	3	{j=0}
-129426	橡皮图	94220	132644	1	null
-129427	新生界	65536	181339	3	{n=0}
-129428	损耗	87096	25439	2	{n=4, v=4, vn=6}
-129429	水磨年	95616	191908	1	null
-129430	拷问	65536	25335	3	{v=0, vn=1}
-129431	惨无	93324	24808	1	null
-129432	活到老	65536	173423	3	{i=0}
-129433	活动分子	65536	133528	3	{l=0}
-129434	坐山	65623	22352	1	null
-129435	在线	65536	22312	3	{b=1, vn=2}
-129436	橡皮圈	65536	132644	3	{n=0}
-129437	动迁	65668	21160	2	{v=3, vn=4}
-129438	商团	65536	21830	3	{n=1}
-129439	活动阵地	108173	150983	1	null
-129440	汽修厂	65536	133600	3	{j=1}
-129441	泽八	65536	27901	3	{nr=0}
-129442	文化学	92286	168038	2	{n=1}
-129443	活动阵地化	65536	129439	3	{n=0, v=1}
-129444	托人	90122	25176	2	{v=0}
-129445	活劳动	65536	173554	3	{n=0}
-129446	泽兰	65536	27901	3	{n=0}
-129447	活化资本	65536	134907	3	{n=1}
-129448	欣悉	65536	27427	3	{v=0}
-129449	活受罪	65536	173846	3	{l=0}
-129450	活化石	65536	173653	3	{n=1}
-129451	武汉市	65536	178706	3	{ns=33}
-129452	威逼	65536	23041	3	{v=1, vn=0}
-129453	发单	65536	21457	3	{n=0}
-129454	活命之	104774	174012	1	null
-129455	活命之恩	65536	129454	3	{l=0}
-129456	活土层	65536	174686	3	{n=0}
-129457	同人	65536	21516	3	{n=0}
-129458	字库	65536	23383	3	{n=0}
-129459	按步	92820	25353	1	null
-129460	攀援	65536	25856	3	{v=0}
-129461	活地狱	65536	174703	3	{n=0}
-129462	控制棒	65536	117157	3	{n=6}
-129463	暂星	65536	26242	3	{n=0}
-129464	同仁	70797	21516	2	{n=6, nz=2}
-129465	发卡	65536	21457	3	{n=1}
-129466	活塞杆	65536	175005	3	{n=0}
-129467	思乡	65536	24605	3	{v=2, vn=0}
-129468	池州	65536	27744	3	{ns=0}
-129469	活字印刷	65536	129999	3	{l=0}
-129470	同仇	67397	21516	1	null
-129471	梨树	65536	26792	3	{n=0}
-129472	活字合金	65536	130151	3	{l=0}
-129473	扇贝	65536	25159	3	{n=0}
-129474	托付	65536	25176	3	{v=0, vn=0}
-129475	喜意	65536	21916	3	{n=1}
-129476	活性染料	65536	129488	3	{l=0}
-129477	欣悦	65536	27427	3	{a=1}
-129478	取证	65536	21462	3	{v=2, vn=5}
-129479	活报剧	65536	177636	3	{n=0}
-129480	城楼	65536	22478	3	{n=2}
-129481	活泼泼	65536	180283	3	{z=0}
-129482	原样	65536	21407	3	{n=2}
-129483	卡钳	65536	21345	3	{n=0}
-129484	活火山	65536	181162	3	{n=1}
-129485	吊索	65536	21514	3	{n=0}
-129486	掠美	65536	25504	3	{v=0}
-129487	半点	65536	21322	3	{m=4, q=0}
-129488	活性染	103467	176998	1	null
-129489	南朝	65537	21335	2	{t=0}
-129490	懒鬼	65536	25042	3	{n=0}
-129491	活灵活	99876	181172	1	null
-129492	活灵活现	65536	129491	3	{i=1}
-129493	活生生	65536	182366	3	{a=0, z=8}
-129494	梯次	65536	26799	3	{n=0}
-129495	活字典	65536	175766	3	{n=0}
-129496	北欧	65536	21271	3	{ns=10}
-129497	活疫苗	65536	182506	3	{n=1}
-129498	活石灰	65536	183090	3	{n=0}
-129499	原案	65536	21407	3	{n=0}
-129500	活脱脱	65536	185456	3	{z=0}
-129501	活菩萨	65536	186152	3	{n=0}
-129502	活血化	99299	187263	1	null
-129503	正多面	105704	177180	1	null
-129504	必经	65536	24517	3	{v=2, vn=2}
-129505	光面	65536	20809	3	{n=0}
-129506	增强	65536	22686	3	{v=227, vn=9}
-129507	活血化瘀	65536	129502	3	{l=0}
-129508	活见鬼	65536	187648	3	{l=0}
-129509	活蹦乱	93171	188837	1	null
-129510	活蹦乱跳	65536	129509	3	{l=1}
-129511	文化宫	65536	168038	3	{n=0, ns=0}
-129512	救命稻	84661	141818	1	null
-129513	活里子	65536	189707	3	{n=0}
-129514	活页夹	65536	191412	3	{n=0}
-129515	总产量	65536	153330	3	{n=19}
-129516	扎根	82137	25166	2	{v=12}
-129517	活饵料	65536	191668	3	{n=0}
-129518	活鲜鲜	65536	192475	3	{z=0}
-129519	基干	69991	22522	2	{n=0}
-129520	活龙活	99905	193240	1	null
-129521	活龙活现	65536	129520	3	{i=0}
-129522	在编	65536	22312	3	{v=2, vn=0}
-129523	某团	65536	26576	3	{r=8}
-129524	洽谈会	65536	143547	3	{n=3}
-129525	洼地	65536	27964	3	{n=1}
-129526	商场	65536	21830	3	{n=71}
-129527	壮阔	65536	22766	3	{a=0}
-129528	展演	65536	23637	3	{n=0, v=4, vn=1}
-129529	洽商	65536	27965	3	{v=0}
-129530	派出所	65536	134091	3	{n=52}
-129531	晒版	65536	26194	3	{v=0}
-129532	派力司	65536	134252	3	{n=0}
-129533	军管	67666	20891	2	{j=0}
-129534	派生词	65536	143088	3	{n=0}
-129535	拳棒	65536	25331	3	{n=0}
-129536	初衷	65536	21021	3	{n=7}
-129537	流于形	105205	172393	1	null
-129538	惜败	65536	24796	3	{v=0}
-129539	洒扫	65536	27922	3	{v=0}
-129540	流于形式	65536	129537	3	{l=2}
-129541	流体力	106145	172590	1	null
-129542	各派	65536	21508	3	{r=5}
-129543	流体力学	65536	129541	3	{n=1}
-129544	流光溢	105121	173092	1	null
-129545	富户	65536	23500	3	{n=1}
-129546	流光溢彩	65536	129544	3	{i=0, l=9}
-129547	流入地	65536	173120	3	{n=0}
-129548	思亲	65536	24605	3	{v=3}
-129549	欠债	88871	27424	2	{v=2, vn=2}
-129550	某国	65536	26576	3	{r=2}
-129551	来复线	65536	165430	3	{n=0}
-129552	同伙	65536	21516	3	{n=2}
-129553	抱病	65536	25265	3	{v=0, vd=0}
-129554	江河水	65536	173320	3	{n=0}
-129555	流出入	65536	173269	3	{j=1}
-129556	惜贷	65536	24796	3	{v=0}
-129557	流动资金	65536	142035	3	{l=8}
-129558	古寺	65536	21476	3	{n=0}
-129559	延边	65536	24310	3	{ns=1}
-129560	流化床	65536	173553	3	{n=0}
-129561	南来	69691	21335	1	null
-129562	流口水	65536	173758	3	{l=0}
-129563	榔榆	65536	27028	3	{n=0}
-129564	榕树	65536	27029	3	{n=0}
-129565	拆伙	65536	25286	3	{v=0}
-129566	流星学	65536	178426	3	{n=0}
-129567	流星赶月	65536	142382	3	{i=0}
-129568	流氓罪	65536	179950	3	{n=0}
-129569	流水不腐	65536	129634	3	{i=0}
-129570	旋滚	65536	26059	3	{v=0}
-129571	包车	65536	21253	3	{n=0, v=0}
-129572	基座	65536	22522	3	{n=0}
-129573	流水作业	65536	129969	3	{l=1}
-129574	流动岗	65536	173443	3	{n=1}
-129575	流离失	104425	183446	1	null
-129576	流浪汉	65536	180293	3	{n=0}
-129577	流离失所	65536	129575	3	{i=0}
-129578	流离颠沛	65536	145814	3	{i=0}
-129579	同伴	65536	21516	3	{n=11}
-129580	流程图	65536	183526	3	{n=1}
-129581	流窜犯	65536	183671	3	{n=0}
-129582	流线型	65536	184730	3	{b=0, n=0}
-129583	流芳千古	65536	129585	3	{i=1}
-129584	古尔	65547	21476	1	null
-129585	流芳千	108107	185742	1	null
-129586	流芳百世	65536	138604	3	{i=0}
-129587	流落江	101342	186136	1	null
-129588	流落江湖	65536	129587	3	{l=0}
-129589	南极	70257	21335	2	{n=0, ns=54}
-129590	流行性	65536	187175	3	{b=2, n=0}
-129591	流行歌曲	65536	132443	3	{l=3}
-129592	末后	65536	26411	3	{d=0}
-129593	出漏	65924	20986	1	null
-129594	华英	65536	21326	3	{nz=2}
-129595	孤独	78656	23396	2	{a=9, an=3}
-129596	受灾	71126	21463	2	{v=11, vn=21}
-129597	延迟	65536	24310	3	{v=0, vn=0}
-129598	出演	65536	20986	3	{v=2, vn=0}
-129599	流觞曲	101900	187577	1	null
-129600	流觞曲水	65536	129599	3	{l=0}
-129601	某地	65536	26576	3	{r=4}
-129602	想望	65536	24819	3	{vn=0}
-129603	流言蜚	93784	187611	1	null
-129604	同位	65695	21516	1	null
-129605	流言蜚语	65536	129603	3	{i=0}
-129606	单放	65921	21333	1	null
-129607	流转税	65536	188999	3	{n=1}
-129608	流连忘	92794	189113	1	null
-129609	旅行社	65536	152838	3	{n=9}
-129610	架子猪	65536	128998	3	{n=0}
-129611	华茂	65536	21326	3	{nz=7}
-129612	奇兵	65536	22855	3	{n=0}
-129613	段子	65536	27573	3	{n=1}
-129614	流连忘返	65536	129608	3	{i=1}
-129615	发号	66411	21457	1	null
-129616	流通领域	65536	147639	3	{l=3}
-129617	声像	65536	22768	3	{n=3}
-129618	挺胸	65536	25402	3	{v=1}
-129619	抛荒	65536	25243	3	{v=0}
-129620	流速计	65536	189178	3	{n=0}
-129621	核电机	92111	176457	1	null
-129622	流里流	101955	189607	1	null
-129623	流里流气	65536	129622	3	{z=0}
-129624	流金铄	98920	189612	1	null
-129625	怪声	88080	24618	1	null
-129626	流量表	65536	189610	3	{n=0}
-129627	流金铄石	65536	129624	3	{i=0}
-129628	原棉	65536	21407	3	{n=0}
-129629	浅吟低	107822	147751	1	null
-129630	河北区	65536	163868	3	{ns=0}
-129631	浅吟低唱	65536	129629	3	{i=1}
-129632	十足	65536	21313	3	{b=1, z=11}
-129633	浅尝辄	102149	149797	1	null
-129634	流水不	96465	179983	1	null
-129635	森林法	65536	135454	3	{n=0}
-129636	合奏	65536	21512	3	{v=1, vn=1}
-129637	密不	84504	23494	1	null
-129638	北段	65536	21271	3	{n=0}
-129639	浅尝辄止	65536	129633	3	{i=2}
-129640	容颜	65536	23481	3	{n=1}
-129641	流通券	65536	189173	3	{n=0}
-129642	沈园	65536	27784	3	{ns=0}
-129643	尖石	65536	23574	3	{n=1}
-129644	浅成岩	65536	151320	3	{n=0}
-129645	浅绿色	65536	158727	3	{n=1}
-129646	浅青色	65536	164954	3	{n=0}
-129647	浇冷水	65536	130772	3	{l=0}
-129648	浇底乡	65536	134066	3	{ns=2}
-129649	浇铸法	65536	147989	3	{n=0}
-129650	浊水溪	65536	137373	3	{n=3}
-129651	浊辅音	65536	146414	3	{n=0}
-129652	沐猴	95401	27792	1	null
-129653	夜场	65536	22812	3	{n=1}
-129654	柠檬精	65536	124225	3	{n=0}
-129655	基建	73626	22522	2	{j=0, n=12}
-129656	单数	65536	21333	3	{n=0}
-129657	圣像	65536	22307	3	{n=0}
-129658	测力器	65536	134358	3	{n=0}
-129659	奇冤	65536	22855	3	{n=1}
-129660	文化局	65536	168038	3	{n=8}
-129661	测压管	65536	134598	3	{n=0}
-129662	哀诉	65536	21696	3	{v=0}
-129663	浊世	65536	27978	3	{n=0}
-129664	测厚仪	65536	134613	3	{n=0}
-129665	字形	65536	23383	3	{n=5}
-129666	截然	94339	25130	2	{d=2}
-129667	测温学	65536	141412	3	{n=0}
-129668	测电笔	65536	143216	3	{n=0}
-129669	池座	65536	27744	3	{n=0}
-129670	测距器	65536	149528	3	{n=0}
-129671	无绳话	93852	184378	1	null
-129672	播种	91312	25773	2	{v=9, vn=2}
-129673	李子	65536	26446	3	{n=0}
-129674	商城	73594	21830	2	{n=23, ns=0}
-129675	测震学	65536	151874	3	{n=0}
-129676	想来	65536	24819	3	{v=4}
-129677	古山	65536	21476	3	{n=0}
-129678	柠檬糖	65536	124225	3	{n=0}
-129679	欣慰	65536	27427	3	{a=6, an=5}
-129680	测试仪	65536	149008	3	{n=1}
-129681	测量学	65536	150538	3	{n=0}
-129682	测绘兵	65536	145683	3	{n=0}
-129683	济南市	65536	129764	3	{ns=12}
-129684	济困扶	108324	130685	1	null
-129685	济困扶危	65536	129684	3	{i=0}
-129686	济宁市	65536	131854	3	{ns=1}
-129687	团校	65536	22242	3	{n=1}
-129688	河西区	65536	177796	3	{ns=2}
-129689	守恒	81112	23432	2	{v=0}
-129690	楷式	65536	26999	3	{n=0}
-129691	富拉	82560	23500	1	null
-129692	商埠	65536	21830	3	{n=0}
-129693	得意门	81387	141798	1	null
-129694	发呆	65536	21457	3	{v=0}
-129695	济济一	107168	136411	1	null
-129696	济州岛	65536	132459	3	{ns=0}
-129697	水利学	65536	181989	3	{n=1}
-129698	济济一堂	65536	129695	3	{i=3}
-129699	南柯	70997	21335	1	null
-129700	单斜	67003	21333	1	null
-129701	济阳县	65536	146880	3	{ns=0}
-129702	加紧	65536	21152	3	{v=14, vd=3}
-129703	最高法	83504	151907	1	null
-129704	宣纸	65536	23459	3	{n=0}
-129705	军籍	65536	20891	3	{n=0}
-129706	浏览	107588	27983	2	{v=2, vn=4}
-129707	受热	65536	21463	3	{v=0}
-129708	浏览器	65536	129706	3	{n=1}
-129709	口气	65536	21475	3	{n=1}
-129710	浑俗和	108902	143782	1	null
-129711	浑俗和光	65536	129710	3	{l=0}
-129712	截煤	87897	25130	1	null
-129713	分步	65536	20998	3	{d=1, v=1, vd=1}
-129714	浏阳市	65536	132885	3	{ns=1}
-129715	分歧	65536	20998	3	{n=39, v=0, vn=0}
-129716	反复	67803	21453	2	{d=37, v=5, vn=1}
-129717	吉赛	69717	21513	1	null
-129718	木棉花	65536	174303	3	{n=1}
-129719	浑天仪	65536	146168	3	{n=0}
-129720	华药	65536	21326	3	{j=0}
-129721	慷慨陈	78193	113962	1	null
-129722	李宁	96924	26446	1	null
-129723	寻访	65536	23547	3	{v=2, vn=4}
-129724	浑头浑	96684	146179	1	null
-129725	浑头浑脑	65536	129724	3	{l=0}
-129726	气门心	65536	194357	3	{n=0}
-129727	毋庸讳	91248	127407	1	null
-129728	封关	65536	23553	3	{v=1}
-129729	单方	65564	21333	2	{n=1}
-129730	戏弄	65536	25103	3	{v=0, vn=0}
-129731	浑水摸	89672	151043	1	null
-129732	浑水摸鱼	65536	129731	3	{i=0}
-129733	浑沌一	100479	151131	1	null
-129734	浑沌一片	65536	129733	3	{i=0}
-129735	扫盲	65536	25195	3	{v=2, vn=0}
-129736	双数	65536	21452	3	{n=0}
-129737	浑洒自	106824	151265	1	null
-129738	浑洒自如	65536	129737	3	{i=0}
-129739	声光	65536	22768	3	{n=1}
-129740	振臂	96585	25391	1	null
-129741	口水	65536	21475	3	{n=1}
-129742	泸州	105039	27896	2	{ns=3}
-129743	宣统	65536	23459	3	{n=0, nr=0, nz=0, t=0}
-129744	数理经	90572	156279	1	null
-129745	客商	65536	23458	3	{n=16}
-129746	春风满	82471	180213	1	null
-129747	数量级	65536	163904	3	{n=0}
-129748	座谈	89665	24231	2	{v=24, vn=16}
-129749	浑浑噩	107629	151328	1	null
-129750	浑浑噩噩	65536	129749	3	{z=0}
-129751	宝物	65536	23453	3	{n=0}
-129752	柠檬素	65536	124225	3	{n=0}
-129753	浑源县	65536	151647	3	{ns=2}
-129754	浑然一	109448	152325	1	null
-129755	浑然一体	65536	129754	3	{i=3}
-129756	浑然不知	65536	129767	3	{l=1}
-129757	忙里	91588	24537	1	null
-129758	浑然天成	65536	132611	3	{i=0}
-129759	双文	65727	21452	1	null
-129760	效果	65536	25928	3	{n=88}
-129761	扮装	65536	25198	3	{v=0}
-129762	浑然无垠	65536	135866	3	{i=0}
-129763	浑身是	96799	159866	1	null
-129764	济南	105617	27982	2	{ns=71}
-129765	浑身是胆	65536	129763	3	{i=0}
-129766	浑金璞	100191	160672	1	null
-129767	浑然不	99063	152325	1	null
-129768	浑金璞玉	65536	129766	3	{i=0}
-129769	密云	86025	23494	2	{ns=0}
-129770	张万	86359	24352	1	null
-129771	浓墨重	105351	148311	1	null
-129772	张三	84095	24352	1	null
-129773	单日	65536	21333	3	{b=1}
-129774	拾荒	65536	25342	3	{v=0}
-129775	李家	99629	26446	1	null
-129776	浓墨重彩	65536	129771	3	{l=3}
-129777	双料	65536	21452	3	{b=2}
-129778	浓妆艳	104506	148533	1	null
-129779	浓妆艳抹	65536	129778	3	{i=0}
-129780	浓浓的	65536	153602	3	{z=13}
-129781	圣克	65540	22307	1	null
-129782	公营	67520	20844	2	{b=0}
-129783	惨杀	65536	24808	3	{v=0}
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-129785	桃源村	65536	139680	3	{ns=0}
-129786	北汉	65536	21271	3	{t=1}
-129787	浓烟滚	101412	154510	1	null
-129788	彭泽鲫	65536	116885	3	{n=2}
-129789	光顾	65536	20809	3	{v=6, vn=0}
-129790	浓烟滚滚	65536	129787	3	{l=0}
-129791	浓眉大	99270	156088	1	null
-129792	捏腔	91269	25423	1	null
-129793	分段	65536	20998	3	{v=0, vd=0, vn=0}
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-129795	浓积云	65536	156830	3	{n=0}
-129796	南桐	65536	21335	3	{ns=0}
-129797	浔江	65536	27988	3	{ns=0}
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-129800	封冻	80162	23553	2	{v=0}
-129801	尖碑	65536	23574	3	{n=5}
-129802	军粮	65536	20891	3	{n=2}
-129803	水银灯	65536	199090	3	{n=0}
-129804	水电局	65536	190961	3	{n=0}
-129805	救火车	65536	148968	3	{n=0}
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-129807	森冈	65536	26862	3	{nr=0}
-129808	北江	65536	21271	3	{ns=0}
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-129811	喷药	65536	21943	3	{v=2}
-129812	娇里	80039	23047	1	null
-129813	浠水县	65536	129798	3	{ns=0}
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-129815	明太鱼	65536	168500	3	{n=0}
-129816	沾化	107152	27838	2	{ns=1}
-129817	分母	65536	20998	3	{n=0}
-129818	浣熊	65536	28003	3	{n=0}
-129819	浦北县	65536	131108	3	{ns=1}
-129820	旅游团	65536	146162	3	{n=0}
-129821	浩如烟	101800	135016	1	null
-129822	救生筏	65536	150172	3	{n=0}
-129823	浩如烟海	65536	129821	3	{i=2}
-129824	浩气长	106441	139770	1	null
-129825	浩气长存	65536	129824	3	{i=0}
-129826	昌盛	65536	26124	3	{a=2, an=0}
-129827	拆借	65536	25286	3	{v=2, vn=1}
-129828	浩浩荡	96196	140111	1	null
-129829	浩浩荡荡	65536	129828	3	{i=7, v=0, z=0}
-129830	印鉴	65536	21360	3	{n=2}
-129831	恩将	92786	24681	1	null
-129832	在职	65536	22312	3	{v=1, vd=0, vn=7}
-129833	浦东	65536	28006	3	{ns=36, nz=0}
-129834	千言	69561	21315	1	null
-129835	浩瀚无	107404	140800	1	null
-129836	浩瀚无垠	65536	129835	3	{i=0}
-129837	敛财	65536	25947	3	{v=0}
-129838	北汽	65536	21271	3	{j=0}
-129839	浩然之	102173	141084	1	null
-129840	新安镇	65536	174789	3	{ns=0}
-129841	浩然之气	65536	129839	3	{i=0}
-129842	圣冈	76668	22307	1	null
-129843	才分	65536	25165	3	{n=0}
-129844	救护车	65536	145441	3	{n=2}
-129845	注册地	65536	141548	3	{n=1}
-129846	圆浑	65536	22278	3	{a=1}
-129847	分毫	65536	20998	3	{m=0}
-129848	浪淘沙	65536	140548	3	{n=1}
-129849	浪漫主义	97077	129851	2	{n=1}
-129850	浪漫主义者	65536	129849	3	{n=1}
-129851	浪漫主	109808	140887	1	null
-129852	密令	65536	23494	3	{n=0, v=0}
-129853	双日	65536	21452	3	{t=0}
-129854	浙东	65536	27993	3	{ns=0}
-129855	橄榄石	65536	125653	3	{n=0}
-129856	浪迹天	101780	149285	1	null
-129857	押解	65536	25276	3	{v=0, vn=0}
-129858	旅游圈	65536	146162	3	{n=1}
-129859	浪迹天涯	65536	129856	3	{i=0}
-129860	呼风	72490	21628	1	null
-129861	浮光掠	105431	173369	1	null
-129862	制黄	65536	21046	3	{v=1}
-129863	拉力赛	65536	158311	3	{n=0}
-129864	浮光掠影	65536	129861	3	{i=0}
-129865	星星点	92196	157620	1	null
-129866	初见	65654	21021	2	{v=0}
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-129891	左券	65536	24038	3	{n=0}
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-129920	分水	65586	20998	1	null
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-129928	四两	70198	22235	1	null
-129929	浴血奋	104824	144595	1	null
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-129943	海关总署	65536	129941	3	{n=0}
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-129963	动量	65552	21160	2	{n=0}
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-129970	氯化	99720	27695	2	{v=0}
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-129992	才力	65536	25165	3	{n=1}
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-130193	择菜	65536	25321	3	{v=0}
-130194	涑水河	65536	130191	3	{ns=0}
-130195	涓滴归	109356	130550	1	null
-130196	念诵	65536	24565	3	{v=0}
-130197	涓涓	65536	28051	3	{z=1}
-130198	消费品	65536	188948	3	{n=22}
-130199	涎水	65536	28046	3	{n=1}
-130200	涓滴归公	65536	130195	3	{i=0}
-130201	消防处	65536	191245	3	{n=2}
-130202	涕泗	103025	28053	1	null
-130203	涕泗横	102236	130202	1	null
-130204	款待	65536	27454	3	{v=1, vn=1}
-130205	涕泗横流	65536	130203	3	{i=0}
-130206	涛声	65536	28059	3	{n=3}
-130207	涝河桥	65536	135739	3	{ns=0}
-130208	挥泪	65536	25381	3	{v=2, vd=0}
-130209	涝洼塘	65536	135876	3	{n=0}
-130210	宿诺	65536	23487	3	{n=0}
-130211	涞源	108773	28062	1	null
-130212	涞源县	65536	130211	3	{ns=0}
-130213	涡轮机	65536	141795	3	{n=0}
-130214	涕泣	65536	28053	3	{v=0}
-130215	枝桠	65536	26525	3	{n=2}
-130216	正当年	65536	178773	3	{v=0}
-130217	涣散	65536	28067	3	{a=2, an=0, v=2}
-130218	客土	65536	23458	3	{n=2}
-130219	涟水	65536	28063	3	{ns=0}
-130220	城池	65536	22478	3	{n=0}
-130221	涣然冰	92901	133244	1	null
-130222	坐待	65536	22352	3	{v=0}
-130223	涣然冰释	65536	130221	3	{i=0}
-130224	涤棉布	65536	135761	3	{n=0}
-130225	合宜	65536	21512	3	{a=0}
-130226	单枪	69321	21333	1	null
-130227	涤浊扬	102063	136914	1	null
-130228	涤浊扬清	65536	130227	3	{l=1}
-130229	内耗	65536	20869	3	{n=3}
-130230	圆滑	65536	22278	3	{a=0}
-130231	四体	75845	22235	1	null
-130232	双杠	65536	21452	3	{n=1}
-130233	涤瑕荡	99005	138717	1	null
-130234	涤瑕荡秽	65536	130233	3	{i=0}
-130235	水平如	89198	185135	1	null
-130236	涡扇	65536	28065	3	{n=0}
-130237	津南	108042	27941	1	null
-130238	望风而	85853	154213	1	null
-130239	圆滚	68165	22278	1	null
-130240	店风	65536	24215	3	{n=0}
-130241	悠远	65536	24736	3	{an=0, z=1}
-130242	润滑剂	65536	135025	3	{n=2}
-130243	润物细	104170	135945	1	null
-130244	怒斥	65536	24594	3	{v=1, vn=0}
-130245	客场	65536	23458	3	{n=10}
-130246	圆满	65536	22278	3	{a=25, ad=18, an=0, d=0}
-130247	入骨	65536	20837	3	{v=0}
-130248	挥洒	83259	25381	2	{v=3, vn=0}
-130249	枯水期	65536	141328	3	{t=0}
-130250	润物细无	107493	130243	1	null
-130251	合家	65699	21512	2	{n=1}
-130252	存照	65536	23384	3	{n=0, v=0}
-130253	口渴	65536	21475	3	{v=0}
-130254	桦树	89995	26726	2	{n=0}
-130255	案头	65536	26696	3	{b=0, n=4, s=1}
-130256	拐角	65536	25296	3	{n=1}
-130257	内耳	65536	20869	3	{n=0}
-130258	摁钉	65536	25665	3	{n=0}
-130259	泳坛	65536	27891	3	{n=10}
-130260	沿儿	65536	27839	3	{n=1}
-130261	润物细无声	65536	130250	3	{l=1, n=0}
-130262	涧磁	103819	28071	1	null
-130263	形不	85867	24418	1	null
-130264	梭子鱼	65536	125053	3	{n=0}
-130265	日记账	65536	181765	3	{n=0}
-130266	北温	66325	21271	1	null
-130267	强身健魄	65536	110824	3	{i=0}
-130268	涧磁村	65536	130262	3	{ns=0}
-130269	涨跌幅	65536	146447	3	{j=5}
-130270	比例尺	65536	166105	3	{n=0}
-130271	新华社	65536	172682	3	{nt=1177, v=0}
-130272	涩味	65536	28073	3	{n=0}
-130273	涪陵	106208	28074	2	{ns=1}
-130274	涪陵市	65536	130273	3	{ns=1}
-130275	涮羊肉	65536	135021	3	{n=0}
-130276	涮锅子	65536	140520	3	{n=0}
-130277	涝坝	65536	28061	3	{n=2}
-130278	拔河	65536	25300	3	{v=1, vn=1}
-130279	液化气	97693	138025	2	{n=1}
-130280	抄袭	65536	25220	3	{v=0, vn=0}
-130281	涤卡	65536	28068	3	{n=0}
-130282	扭亏解	92756	122075	1	null
-130283	守护	73494	23432	2	{v=2, vn=0}
-130284	压锭	65536	21387	3	{v=19, vn=5}
-130285	液化气罐	65536	130279	3	{n=0}
-130286	怒族	65536	24594	3	{nz=1}
-130287	双林	67885	21452	1	null
-130288	光驱	65536	20809	3	{n=0}
-130289	己辰	65536	24049	3	{m=0}
-130290	内联	66446	20869	1	null
-130291	液压机	65536	138142	3	{n=0}
-130292	液态水	65536	141332	3	{n=1}
-130293	液氧箱	65536	144442	3	{n=1}
-130294	液相色	94410	147211	1	null
-130295	摇手	65536	25671	3	{n=0}
-130296	内聚	66587	20869	1	null
-130297	全镇	65536	20840	3	{n=12}
-130298	涮洗	65536	28078	3	{v=0}
-130299	液相色谱	110100	130294	1	null
-130300	和蔼	72992	21644	2	{a=0}
-130301	挣钱	65536	25379	3	{v=7, vn=1}
-130302	液相色谱仪	65536	130299	3	{n=1}
-130303	涸泽而	102126	130305	1	null
-130304	泡影	65536	27873	3	{n=1}
-130305	涸泽	97523	28088	1	null
-130306	涸泽而渔	65536	130303	3	{i=0}
-130307	涸辙之	90233	139165	1	null
-130308	涸辙之鲋	65536	130307	3	{i=0}
-130309	涿州市	65536	132903	3	{ns=4}
-130310	军纪	65536	20891	3	{n=1}
-130311	巨大	65536	24040	3	{a=196, ad=0, an=0}
-130312	涿县	65536	28095	3	{n=0}
-130313	注册处	65536	141548	3	{n=0}
-130314	反季	65555	21453	1	null
-130315	场长	65536	22330	3	{n=1}
-130316	圣卢	65564	22307	1	null
-130317	搜肠	96328	25628	1	null
-130318	正规战	65536	189638	3	{n=2}
-130319	涿鹿县	65536	149448	3	{ns=2}
-130320	无所用	95603	177031	1	null
-130321	波尔多	104789	155647	2	{ns=3, nz=0}
-130322	同创	65536	21516	3	{nz=6}
-130323	宿豫	84505	23487	1	null
-130324	巨头	65536	24040	3	{n=4}
-130325	泡沫塑	102758	133690	1	null
-130326	古建	65562	21476	2	{n=0}
-130327	淀粉厂	65536	140921	3	{n=2}
-130328	吉达	65536	21513	3	{ns=1}
-130329	半球	65536	21322	3	{n=0}
-130330	涌出	65536	28044	3	{v=3}
-130331	淄博市	65536	130339	3	{ns=9}
-130332	淅川县	65536	130357	3	{ns=0}
-130333	斜体	95598	26012	2	{n=0}
-130334	左右	88226	24038	2	{f=4, m=142, v=3, vn=0}
-130335	淅淅沥	102535	134429	1	null
-130336	水利工	96134	181989	1	null
-130337	少壮	79171	23569	2	{b=0}
-130338	洗衣房	65536	170760	3	{n=0}
-130339	淄博	106265	28100	2	{ns=1}
-130340	洗涤器	65536	163913	3	{n=0}
-130341	备足	65536	22791	3	{v=1}
-130342	寻踪	65536	23547	3	{v=0, vn=1}
-130343	吃现	67865	21507	1	null
-130344	喷薄	67868	21943	1	null
-130345	恩师	65536	24681	3	{n=0}
-130346	淀区	65536	28096	3	{n=3}
-130347	意中	93468	24847	1	null
-130348	淅淅沥沥	65536	130335	3	{z=4}
-130349	淆乱	65536	28102	3	{a=0, v=0}
-130350	掏钱	65536	25487	3	{v=3}
-130351	淋巴细胞	65536	134788	3	{n=0}
-130352	封口	80138	23553	2	{n=0, v=0}
-130353	全长	65536	20840	3	{b=0, n=15}
-130354	单株	65536	21333	3	{n=4}
-130355	旺盛	94373	26106	2	{a=15}
-130356	淋巴结炎	65536	134801	3	{n=0}
-130357	淅川	108893	28101	1	null
-130358	淋浴器	65536	134409	3	{n=0}
-130359	无所畏	95603	177031	1	null
-130360	淋漓尽	97096	134824	1	null
-130361	初记	65536	21021	3	{v=0}
-130362	涨价	65536	28072	3	{v=4, vn=3}
-130363	军统	65536	20891	3	{j=0}
-130364	淋漓尽致	65536	130360	3	{i=8}
-130365	棘皮	103984	26840	1	null
-130366	淑女	65536	28113	3	{n=0}
-130367	星火计	100062	160256	1	null
-130368	淘米箩	65536	134584	3	{n=0}
-130369	单根	65540	21333	1	null
-130370	弱酸	65536	24369	3	{n=0}
-130371	淘气包	65536	130393	3	{n=1}
-130372	封号	65536	23553	3	{n=0}
-130373	水龙带	65536	201813	3	{n=0}
-130374	淙淙	65536	28121	3	{o=1}
-130375	意义	65536	24847	3	{n=243}
-130376	慧黠	65536	24935	3	{a=0}
-130377	反客	71859	21453	1	null
-130378	淡如逝	102682	150104	1	null
-130379	双柳	65568	21452	1	null
-130380	歇业	65536	27463	3	{v=0}
-130381	初评	65536	21021	3	{v=2, vn=0}
-130382	淡如逝水	65536	130378	3	{l=1}
-130383	淡妆浓	105111	150108	1	null
-130384	淡妆浓抹	65536	130383	3	{i=0}
-130385	分清	68173	20998	2	{v=3}
-130386	幽寂	65536	24189	3	{a=0}
-130387	初诊	65536	21021	3	{v=0}
-130388	淡巴巴	65536	151242	3	{z=0}
-130389	泉州	104576	27849	2	{ns=1}
-130390	新干线	65536	175534	3	{n=0}
-130391	枣树	65536	26531	3	{n=1}
-130392	形于	74207	24418	1	null
-130393	淘气	109118	28120	2	{a=0}
-130394	淡泊名	109363	155040	1	null
-130395	淡水湖	65536	154890	3	{n=0}
-130396	淡泊名利	65536	130394	3	{l=3}
-130397	攀枝	84327	25856	1	null
-130398	初试	65536	21021	3	{v=2}
-130399	淡泊明志	65536	135003	3	{i=0}
-130400	揭帖	65536	25581	3	{n=0}
-130401	淡淡的	65536	155319	3	{z=3}
-130402	淡路岛	65536	163525	3	{ns=0}
-130403	夏威	76087	22799	1	null
-130404	杏林	65536	26447	3	{n=2, ns=0}
-130405	夏娃	65536	22799	3	{n=0}
-130406	欲擒	99936	27442	1	null
-130407	尖端	81341	23574	2	{b=8, n=1}
-130408	淡青色	65536	165928	3	{n=0}
-130409	淬火	101604	28140	2	{vn=0}
-130410	淘汰制	65536	130485	3	{n=0}
-130411	栽斤	101889	26685	1	null
-130412	内胎	65536	20869	3	{n=0}
-130413	淬火炉	65536	130409	3	{n=0}
-130414	吊胃	71830	21514	1	null
-130415	宣腿	65536	23459	3	{n=0}
-130416	淋巴液	65536	130441	3	{n=0}
-130417	淮北市	65536	130710	3	{ns=0}
-130418	出版	68827	20986	2	{n=0, v=144, vn=68}
-130419	入魔	65536	20837	3	{v=0}
-130420	怀化	88294	24576	2	{ns=0}
-130421	测绘员	65536	145683	3	{n=0}
-130422	朴直	65536	26420	3	{a=0}
-130423	淮南市	65536	130774	3	{ns=0}
-130424	淮城镇	65536	131917	3	{ns=0}
-130425	淮安市	65536	132872	3	{ns=3}
-130426	淮海战役	65536	130436	3	{nz=0}
-130427	淮海戏	65536	137462	3	{n=0}
-130428	淮阴市	65536	147891	3	{ns=2}
-130429	深不可	102452	176269	1	null
-130430	商嫂	65536	21830	3	{n=0}
-130431	深不可测	65536	130429	3	{i=0}
-130432	深井泵	65536	176405	3	{n=0}
-130433	构架	65536	26500	3	{n=2, v=0}
-130434	深交所	65536	176420	3	{j=2}
-130435	深仇大	105760	176455	1	null
-130436	淮海战	105985	137462	1	null
-130437	涵义	65536	28085	3	{n=2}
-130438	合山	65536	21512	3	{n=0}
-130439	掌故	65536	25484	3	{n=0}
-130440	深仇大恨	65536	130435	3	{i=0}
-130441	淋巴	102334	28107	2	{n=1}
-130442	深信不	100347	176737	1	null
-130443	抠门	94642	25248	2	{a=1}
-130444	深信不疑	65536	130442	3	{i=1}
-130445	客堂	65536	23458	3	{n=1}
-130446	深入人心	65536	130457	3	{i=5}
-130447	声名	68510	22768	2	{n=3}
-130448	深入浅出	65536	138276	3	{i=5}
-130449	棚子	65536	26842	3	{n=2}
-130450	深入虎穴	65536	144685	3	{l=1}
-130451	流量计	65536	189610	3	{n=1}
-130452	恩平	88894	24681	1	null
-130453	柴树	65536	26612	3	{n=1}
-130454	毕尔	102733	27605	1	null
-130455	深刻性	65536	177339	3	{n=2}
-130456	氢弹	65536	27682	3	{n=0}
-130457	深入人	105931	177125	1	null
-130458	深呼吸	65536	177916	3	{n=0}
-130459	内能	65536	20869	3	{n=0}
-130460	古往	72540	21476	1	null
-130461	深圳市	65536	178611	3	{ns=13}
-130462	深宅大	91967	179717	1	null
-130463	揭幕	92957	25581	2	{v=5, vn=1}
-130464	反对	71611	21453	2	{v=162, vn=12}
-130465	深宅大院	65536	130462	3	{i=0}
-130466	技法	65536	25216	3	{n=6}
-130467	密克	73406	23494	1	null
-130468	可巧	65536	21487	3	{d=0}
-130469	撑腰	65536	25745	3	{v=0}
-130470	少女	65536	23569	3	{n=6}
-130471	思前	87669	24605	1	null
-130472	深层格	65536	179906	3	{n=0}
-130473	少奶	84237	23569	1	null
-130474	方格纸	65536	167548	3	{n=0}
-130475	反射	70033	21453	2	{v=1, vn=2}
-130476	深居简	109496	179909	1	null
-130477	内脏	65536	20869	3	{n=1}
-130478	橱窗	65536	27249	3	{n=9}
-130479	惯量	65536	24815	3	{n=0}
-130480	文学界	65536	170166	3	{n=6}
-130481	奶酪	65536	22902	3	{n=1}
-130482	深居简出	65536	130476	3	{i=0}
-130483	深得民	105969	180759	1	null
-130484	深得民心	65536	130483	3	{i=0}
-130485	淘汰	109364	28120	2	{v=32, vn=3}
-130486	流动性	65536	173443	3	{n=8}
-130487	扁鲨	65536	25153	3	{n=0}
-130488	洲际性	65536	129419	3	{n=1}
-130489	深怀不	102107	180864	1	null
-130490	少妇	65536	23569	3	{n=2}
-130491	变现	65536	21464	3	{v=0}
-130492	深怀不满	65536	130489	3	{i=0}
-130493	深思熟	96109	180893	1	null
-130494	深思熟虑	65536	130493	3	{i=2}
-130495	台本	65536	21488	3	{n=0}
-130496	深恶痛	98022	180982	1	null
-130497	底土	65536	24213	3	{n=0}
-130498	华虹	65536	21326	3	{nz=0}
-130499	深恶痛绝	65536	130496	3	{i=3}
-130500	受理	65536	21463	3	{v=19, vn=3}
-130501	吊脚	66302	21514	2	{b=0}
-130502	深情厚	105658	181061	1	null
-130503	原水	65536	21407	3	{nz=2}
-130504	涌动	65536	28044	3	{v=5}
-130505	深情厚意	65536	130502	3	{n=4}
-130506	性子	65536	24615	3	{n=1}
-130507	深成岩	65536	181392	3	{n=0}
-130508	深文周	98074	182279	1	null
-130509	深文周纳	65536	130508	3	{i=0}
-130510	曹甸	83688	26361	1	null
-130511	深明大	110471	182414	1	null
-130512	深明大义	65536	130511	3	{i=1}
-130513	全队	65536	20840	3	{n=7}
-130514	深更半	107707	182644	1	null
-130515	志愿队	65536	119714	3	{n=2}
-130516	原汁	69935	21407	1	null
-130517	幽居	65536	24189	3	{vn=0}
-130518	影片	65536	24433	3	{n=49}
-130519	深更半夜	65536	130514	3	{i=0}
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-130521	深有感	95222	182665	1	null
-130522	冰雕	65536	20912	3	{n=7}
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-130524	深有感触	65536	130521	3	{l=9}
-130525	昏倒	65536	26127	3	{v=2}
-130526	杏树	65536	26447	3	{n=0}
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-130528	深根固	96607	182969	1	null
-130529	深根固蒂	65536	130528	3	{i=0}
-130530	涂刷	65536	28034	3	{v=1}
-130531	发型	65536	21457	3	{n=1}
-130532	师傅	65536	24072	3	{n=22}
-130533	深棕色	65536	183125	3	{n=1}
-130534	淮剧	65536	28142	3	{n=0}
-130535	拖三	90709	25302	1	null
-130536	深水炸弹	65536	131188	3	{l=0}
-130537	深沟墩	109050	184095	1	null
-130538	深沟墩台	65536	130537	3	{n=1}
-130539	深水港	65536	183988	3	{n=0}
-130540	淤塞	65536	28132	3	{v=0}
-130541	冰雨	65536	20912	3	{n=1}
-130542	场院	65536	22330	3	{n=0}
-130543	冰雪	65575	20912	2	{n=30}
-130544	深沟高垒	65536	147480	3	{i=0}
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-130546	深海鱼	65536	184311	3	{n=0}
-130547	深深地	65536	184433	3	{d=6, z=0}
-130548	压阵	65536	21387	3	{v=0}
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-130550	涓滴	105793	28051	2	{n=0}
-130551	富春	78399	23500	1	null
-130552	深灰色	65536	185072	3	{n=0}
-130553	朱张桥西	95359	123178	1	null
-130554	栏网	65536	26639	3	{n=0}
-130555	深耕细	110240	189077	1	null
-130556	深耕细作	65536	130555	3	{l=0}
-130557	拟稿	65536	25311	3	{v=0}
-130558	冰雹	65536	20912	3	{n=0}
-130559	民族主	107022	179446	1	null
-130560	深葬法	65536	190188	3	{n=1}
-130561	深蓝色	65536	190301	3	{n=3}
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-130563	深褐色	65536	191376	3	{n=0}
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-130565	杏核	92893	26447	2	{n=0}
-130566	形似	65536	24418	3	{v=2}
-130567	深谋远	96183	192139	1	null
-130568	深谋远虑	65536	130567	3	{i=2}
-130569	拆包	89302	25286	1	null
-130570	浴具	65536	28020	3	{n=0}
-130571	深闭固	105278	194669	1	null
-130572	半瓶	67147	21322	1	null
-130573	同化	73169	21516	2	{v=0}
-130574	旅游委	65536	146162	3	{j=3}
-130575	民族之	100546	179446	1	null
-130576	深闭固拒	65536	130571	3	{i=0}
-130577	混世魔	101002	139922	1	null
-130578	淳厚	65536	28147	3	{a=2}
-130579	机动粮	65536	167425	3	{n=0}
-130580	全院	65536	20840	3	{n=7}
-130581	混世魔王	65536	130577	3	{i=1}
-130582	涟涟	65536	28063	3	{z=0}
-130583	拍子	65536	25293	3	{n=0}
-130584	意会	65536	24847	3	{v=2}
-130585	工作站	65536	149420	3	{n=5}
-130586	松花蛋	65536	177603	3	{n=0}
-130587	出狱	65536	20986	3	{v=3}
-130588	混为一	94742	139958	1	null
-130589	形体	65536	24418	3	{n=4}
-130590	混为一谈	65536	130588	3	{i=1}
-130591	宽泛	65536	23485	3	{a=0}
-130592	混交林	65536	140064	3	{n=0}
-130593	冰霜	65536	20912	3	{n=0}
-130594	商学	65621	21830	1	null
-130595	汽车城	65536	149848	3	{n=0}
-130596	活性氧	65536	176998	3	{n=0}
-130597	民族乡	65536	179446	3	{n=4}
-130598	混委会	65536	142928	3	{j=0}
-130599	混日子	65536	146017	3	{l=1}
-130600	前瞻	65651	21069	2	{n=0}
-130601	混凝剂	65536	140889	3	{n=0}
-130602	混水摸	90544	147632	1	null
-130603	吊膀	69932	21514	1	null
-130604	混水摸鱼	65536	130602	3	{l=0}
-130605	混淆不清	65536	130607	3	{l=0}
-130606	混淆是非	65536	136785	3	{i=1}
-130607	混淆不	102440	148034	1	null
-130608	悬垂	65536	24748	3	{v=0}
-130609	情真意长	65536	113336	3	{i=0}
-130610	拦网	65536	25318	3	{n=0, v=0, vn=1}
-130611	最低点	65536	132569	3	{n=12}
-130612	水晶宫	65536	187186	3	{n=1}
-130613	半生	70540	21322	2	{m=2}
-130614	扑腾	65536	25169	3	{v=1}
-130615	江西腊	65536	180692	3	{n=0}
-130616	出猎	65536	20986	3	{v=0}
-130617	混淆视听	65536	145896	3	{i=0}
-130618	混淆黑白	65536	151283	3	{i=0}
-130619	泻珠	100818	27899	1	null
-130620	混混沌	102833	148083	1	null
-130621	混混沌沌	65536	130620	3	{z=0}
-130622	期房	65536	26399	3	{n=0}
-130623	后世	65536	21518	3	{n=4}
-130624	混血儿	65536	154812	3	{n=0}
-130625	歇伏	65536	27463	3	{v=0}
-130626	怀古	65536	24576	3	{v=0}
-130627	混合器	65536	141444	3	{n=0}
-130628	手工费	65536	162023	3	{n=0}
-130629	混铁炉	65536	158013	3	{n=0}
-130630	古怪	65536	21476	3	{a=1}
-130631	歧异	65536	27495	3	{n=1}
-130632	混饭吃	65536	159209	3	{l=0}
-130633	淹死	65536	28153	3	{v=1}
-130634	揭开	65536	25581	3	{v=12}
-130635	添枝加	109143	137304	1	null
-130636	原油	65536	21407	3	{n=52}
-130637	添枝加叶	65536	130635	3	{i=0}
-130638	添加剂	65536	131931	3	{n=1}
-130639	声响	65536	22768	3	{n=4}
-130640	添油加	93382	138612	1	null
-130641	添油加醋	65536	130640	3	{i=0}
-130642	尼龙	87486	23612	2	{n=0}
-130643	哀辞	65536	21696	3	{n=0}
-130644	添砖加	100723	141521	1	null
-130645	氯喹	65536	27695	3	{n=0}
-130646	商定	65536	21830	3	{v=14}
-130647	坚韧	77352	22362	2	{a=1, ad=0, an=2}
-130648	取道	65536	21462	3	{v=0}
-130649	添砖加瓦	65536	130644	3	{i=0}
-130650	添马舰	65536	150311	3	{ns=2}
-130651	朱古	102028	26417	1	null
-130652	添麻烦	65536	151414	3	{l=1}
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-130654	商客	71413	21830	1	null
-130655	密切	65536	23494	3	{a=36, ad=65, s=0, v=17, vn=1}
-130656	淼茫	65536	28156	3	{z=0}
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-130661	子丑	79768	23376	1	null
-130662	清仓查	106456	184301	1	null
-130663	冰面	65536	20912	3	{n=2}
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-130665	南段	65536	21335	3	{n=0}
-130666	榕江	103947	27029	1	null
-130667	清仓查库	65536	130662	3	{l=0}
-130668	清凄寂	109750	185054	1	null
-130669	清凄寂冷	65536	130668	3	{i=0}
-130670	太行	77297	22826	2	{ns=10, nz=1}
-130671	民心所	105522	177898	1	null
-130672	洞井	109256	27934	1	null
-130673	清凌凌	65536	185062	3	{z=0}
-130674	商家	65536	21830	3	{n=14, p=0}
-130675	摩拳	91735	25705	1	null
-130676	梦幻	104681	26790	2	{n=3}
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-130678	枣椰	65536	26531	3	{n=0}
-130679	清华大学	65536	131252	3	{nt=13}
-130680	全集	65536	20840	3	{n=2}
-130681	十里	66920	21313	1	null
-130682	清华园	65536	185448	3	{ns=1}
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-130684	拆卸	65536	25286	3	{v=2}
-130685	济困	104478	27982	2	{v=0, vn=1}
-130686	润州	65536	28070	3	{ns=0}
-130687	槐树	65536	27088	3	{n=0}
-130688	清唱剧	65536	185931	3	{n=0}
-130689	慎选	65536	24910	3	{v=1}
-130690	塞阿	72559	22622	1	null
-130691	张冠	84104	24352	1	null
-130692	台柱	69494	21488	2	{n=1}
-130693	清嗓润	97741	186093	1	null
-130694	悲喜交集	65536	113244	3	{i=0}
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-130696	擦痕	65536	25830	3	{n=0}
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-130698	己酉	65536	24049	3	{m=0}
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-130716	增援	65536	22686	3	{v=2, vn=0}
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-130724	清心寡欲	65536	130722	3	{i=0}
-130725	截留	65536	25130	3	{v=3}
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-130728	军职	65536	20891	3	{n=0}
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-130737	清明上河	108469	130744	1	null
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-130751	效死	65536	25928	3	{v=0}
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-130767	清炒虾	110610	192940	1	null
-130768	四公	71473	22235	1	null
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-130770	消费国	65536	188948	3	{n=1}
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-130773	散文诗	65536	146733	3	{n=3}
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-130817	扒鸡	65536	25170	3	{n=0}
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-130824	清费治乱减负	65536	130819	3	{l=1, n=0}
-130825	守擂	65536	23432	3	{v=0}
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-130835	南江	65536	21335	3	{ns=0}
-130836	全面	65536	20840	3	{a=149, ad=307, an=0}
-130837	清锅冷	102048	202271	1	null
-130838	清锅冷灶	65536	130837	3	{l=0}
-130839	拜伦	93286	25308	1	null
-130840	清闲自	108529	202508	1	null
-130841	清闲自在	65536	130840	3	{i=0}
-130842	清障车	65536	202678	3	{n=2}
-130843	挚诚	65536	25370	3	{a=1}
-130844	清风两袖	65536	130863	3	{i=0}
-130845	清洁剂	65536	192027	3	{n=0}
-130846	清风明月	65536	136985	3	{i=0}
-130847	渊远流	92579	146355	1	null
-130848	桔梗	65536	26708	3	{n=0}
-130849	公里／	65631	133277	1	null
-130850	渊远流长	65536	130847	3	{i=1}
-130851	森喜	65536	26862	3	{nr=0}
-130852	后任	65536	21518	3	{n=1, vn=0}
-130853	冷霜	65536	20919	3	{n=1}
-130854	清凉剂	65536	185059	3	{n=0}
-130855	口炎	65536	21475	3	{n=0}
-130856	渎职	98244	28174	2	{v=3, vn=7}
-130857	歹徒	65536	27513	3	{n=31}
-130858	尾随	65536	23614	3	{v=2}
-130859	古意	65536	21476	3	{n=0}
-130860	添乱	65536	28155	3	{v=1}
-130861	拖住	65536	25302	3	{v=0}
-130862	渎职罪	65536	130856	3	{n=2}
-130863	清风两	95878	203240	1	null
-130864	巨子	65536	24040	3	{n=1}
-130865	渊博	65536	28170	3	{a=2}
-130866	惨死	65536	24808	3	{v=0, vn=0}
-130867	沙发椅	65536	176215	3	{n=0}
-130868	底墒	65536	24213	3	{n=0}
-130869	方方面	80854	166905	1	null
-130870	渐入佳	108213	130967	1	null
-130871	子代	65536	23376	3	{n=0}
-130872	渐入佳境	65536	130870	3	{i=1}
-130873	夹竹	74388	22841	1	null
-130874	悲切	92238	24754	2	{a=1}
-130875	渐变性	65536	131594	3	{n=0}
-130876	南沈	65542	21335	1	null
-130877	渐开线	65536	134450	3	{n=0}
-130878	渐近线	65536	146947	3	{n=0}
-130879	渐进式	65536	146957	3	{b=2, n=0}
-130880	变电	70491	21464	2	{vn=9}
-130881	渑池	109443	28177	2	{ns=0}
-130882	渑池县	65536	130881	3	{ns=0}
-130883	后会	67488	21518	1	null
-130884	宝盖	84700	23453	1	null
-130885	渔产品	65536	156674	3	{n=0}
-130886	海洋年	65536	191233	3	{n=2}
-130887	摄影赛	65536	123041	3	{n=2}
-130888	发声	65536	21457	3	{v=1, vn=0}
-130889	恩怨	65536	24681	3	{n=3}
-130890	慰问金	65536	131231	3	{n=16}
-130891	就是	71521	23601	2	{c=11, d=95, v=12}
-130892	拜佛	65536	25308	3	{v=1}
-130893	南沙	65536	21335	3	{ns=2}
-130894	柞栎	65536	26590	3	{n=0}
-130895	渔人之	109866	156693	1	null
-130896	档案	100679	26723	2	{n=34}
-130897	柞树	65536	26590	3	{n=0}
-130898	有机染	96365	181212	1	null
-130899	渔人之利	65536	130895	3	{i=0}
-130900	渔人得利	65536	135323	3	{i=0}
-130901	数学课	65536	149975	3	{n=0}
-130902	渔农处	65536	157431	3	{j=0}
-130903	渔港村	65536	164746	3	{n=0}
-130904	墨迹	71488	22696	2	{n=1}
-130905	师出	82746	24072	1	null
-130906	歹心	65536	27513	3	{n=0}
-130907	泼墨	65536	27900	3	{v=3, vn=0}
-130908	渔码头	65536	167260	3	{n=0}
-130909	渔翁得	109879	169244	1	null
-130910	客姓	65536	23458	3	{n=0}
-130911	包钢	65536	21253	3	{n=0}
-130912	渔翁得利	65536	130909	3	{l=0}
-130913	渝中区	65536	130934	3	{ns=0}
-130914	冷静	65538	20919	2	{a=11, ad=2, an=1}
-130915	洛阳市	65536	150693	3	{ns=6}
-130916	渝水区	65536	138621	3	{ns=0}
-130917	南沱	65577	21335	1	null
-130918	混合型	65536	141444	3	{b=1}
-130919	南河	65915	21335	1	null
-130920	摇撼	65536	25671	3	{v=0}
-130921	核子武	102393	169828	1	null
-130922	四分	75681	22235	1	null
-130923	冷面	65543	20919	2	{n=0}
-130924	渡江战	106488	137227	1	null
-130925	渗透压	65536	147939	3	{n=0}
-130926	巧舌	85406	24039	1	null
-130927	淹没	65536	28153	3	{v=4, vn=0}
-130928	渠县	65536	28192	3	{ns=0}
-130929	渡江战役	65536	130924	3	{nz=1}
-130930	渣油路	65536	136588	3	{n=0}
-130931	同呼	71773	21516	1	null
-130932	同命	65625	21516	1	null
-130933	密匝	84772	23494	1	null
-130934	渝中	109607	28189	1	null
-130935	截瘫	65536	25130	3	{n=0, v=0}
-130936	拂面	65536	25282	3	{v=1}
-130937	渤海	102654	28196	2	{n=12, ns=9}
-130938	夜尿	69401	22812	1	null
-130939	毡房	65536	27617	3	{n=0}
-130940	渤海湾	65536	130937	3	{ns=1}
-130941	四则	65653	22235	2	{n=0}
-130942	张力	65536	24352	3	{n=5}
-130943	发大	65637	21457	1	null
-130944	可心	65536	21487	3	{a=1}
-130945	渥太	109624	28197	1	null
-130946	沫子	65536	27819	3	{n=0}
-130947	受病	65536	21463	3	{v=0}
-130948	圆熟	65536	22278	3	{a=0}
-130949	掌权	65536	25484	3	{v=0, vn=0}
-130950	渥太华	106891	130945	2	{ns=22}
-130951	拿手	93350	25343	2	{a=3}
-130952	沧州	104289	27815	2	{ns=1}
-130953	惨毒	65536	24808	3	{a=0}
-130954	恩恩	88346	24681	1	null
-130955	合并	65563	21512	2	{v=46, vd=0, vn=15}
-130956	歹念	65536	27513	3	{n=0}
-130957	渥太华市	65536	130950	3	{ns=1}
-130958	温吞水	65536	173788	3	{n=0}
-130959	渡口	65536	28193	3	{n=0}
-130960	温和派	65536	173898	3	{n=2}
-130961	发夹	65536	21457	3	{n=0}
-130962	温哥华	65536	173987	3	{ns=2}
-130963	守敌	65536	23432	3	{n=0}
-130964	半百	65536	21322	3	{m=2}
-130965	反差	65536	21453	3	{n=11}
-130966	测试台	65536	149008	3	{n=0}
-130967	渐入	110531	28176	1	null
-130968	温室群	65536	175714	3	{n=0}
-130969	南泥	65541	21335	1	null
-130970	悲剧	88624	24754	2	{n=14}
-130971	温家宝	65536	175732	3	{nr=40}
-130972	拼死	90881	25340	2	{d=1}
-130973	志贺	65536	24535	3	{ns=0}
-130974	温尼伯	106909	175866	2	{ns=0}
-130975	温尼伯市	65536	130974	3	{ns=0}
-130976	消声器	65536	175563	3	{n=0}
-130977	涟漪	65536	28063	3	{n=2}
-130978	温岭市	65536	175979	3	{ns=0}
-130979	发奋	70196	21457	2	{v=2, vd=0}
-130980	悬壶	93082	24748	1	null
-130981	全音	65538	20840	2	{n=0}
-130982	底处	65536	24213	3	{n=1}
-130983	海阔凭	90036	201738	1	null
-130984	温州市	65536	176284	3	{ns=2}
-130985	水溶液	65536	189298	3	{n=0}
-130986	温得和	110176	176725	1	null
-130987	温得和克	65536	130986	3	{ns=0}
-130988	巨富	65536	24040	3	{n=0, nz=0}
-130989	温情脉	97965	177027	1	null
-130990	发奖	65536	21457	3	{v=0}
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-130993	华表	67711	21326	2	{n=0}
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-130996	压韵	65536	21387	3	{a=0}
-130997	按照	65536	25353	3	{p=271, v=5}
-130998	温情脉脉	65536	130989	3	{i=0}
-130999	患难	93202	24739	2	{n=1, v=0}
-131000	声嘶	76796	22768	1	null
-131001	温故知	104970	178179	1	null
-131002	温故知新	65536	131001	3	{i=0}
-131003	淫书	65536	28139	3	{n=0}
-131004	少安	79546	23569	1	null
-131005	包销	65536	21253	3	{v=1, vn=0}
-131006	温文尔	92413	178245	1	null
-131007	南洋	65925	21335	2	{n=0, ns=0, nz=0}
-131008	执法	94954	25191	2	{n=0, v=44, vn=75}
-131009	招商馆	65536	144702	3	{n=0}
-131010	温文尔雅	65536	131006	3	{i=0}
-131011	存瑞	83334	23384	1	null
-131012	反帝	65536	21453	3	{v=3, vn=1}
-131013	温暖如	104867	178516	1	null
-131014	淫乱	65536	28139	3	{a=0, v=0, vn=0}
-131015	木偶片	65536	168076	3	{n=0}
-131016	温暖如春	65536	131013	3	{l=1}
-131017	温汤浸	99837	180002	1	null
-131018	温汤浸种	65536	131017	3	{l=0}
-131019	温泉市	65536	180103	3	{ns=0}
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-131021	扶乩	65536	25206	3	{v=0}
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-131023	温血动物	65536	131022	3	{l=0}
-131024	斯科钦	93166	142675	1	null
-131025	斜切	65536	26012	3	{v=0}
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-131028	核桃树	65536	173143	3	{n=0}
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-131038	增收	65598	22686	2	{v=21, vn=5}
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-131041	回信	65536	22238	3	{n=2, v=0, vn=0}
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-131044	港人治港	65536	131043	3	{j=2, l=9}
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-131052	游人如	98598	172754	1	null
-131053	游人如织	65536	131052	3	{l=1}
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-131056	增效	65536	22686	3	{v=6, vn=6}
-131057	游击战争	65536	134870	3	{n=12}
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-131060	游刃有	110748	173595	1	null
-131061	游刃有余	65536	131060	3	{i=0}
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-131063	游动哨	65536	173760	3	{n=0}
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-131065	游园会	65536	174853	3	{n=3}
-131066	张北	89121	24352	2	{ns=49}
-131067	游乐业	65536	172648	3	{n=6}
-131068	想法	65536	24819	3	{n=21, v=1}
-131069	游山玩	103370	176265	1	null
-131070	游山玩水	65536	131069	3	{i=0}
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-131076	掩耳	86699	25513	1	null
-131077	游标卡	107471	179231	1	null
-131078	志趣	65536	24535	3	{n=2}
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-131080	南浔	65578	21335	1	null
-131081	游标卡尺	65536	131077	3	{l=0}
-131082	淫亵	65536	28139	3	{v=0}
-131083	游牧民	65536	181887	3	{n=0}
-131084	游戏卡	65536	177703	3	{n=0}
-131085	幽幽	87844	24189	2	{z=0}
-131086	游离电	107713	183763	1	null
-131087	合建	65536	21512	3	{v=0}
-131088	措辞	65536	25514	3	{v=0, vn=1}
-131089	游离电子	65536	131086	3	{l=0}
-131090	图灵	70073	22270	1	null
-131091	发妻	65536	21457	3	{n=0}
-131092	无所不知	65536	120309	3	{i=0}
-131093	游览图	65536	187872	3	{n=0}
-131094	游走不	107645	188808	1	null
-131095	游走不定	65536	131094	3	{i=0}
-131096	渺无人烟	65536	131104	3	{l=0}
-131097	效法	65536	25928	3	{v=0}
-131098	南浦	65536	21335	3	{ns=0}
-131099	游艺会	65536	186002	3	{n=0}
-131100	慌里	88939	24908	1	null
-131101	华裔	65536	21326	3	{n=20}
-131102	掌柜	65536	25484	3	{n=0}
-131103	渺无声息	65536	133718	3	{i=0}
-131104	渺无人	102201	133650	1	null
-131105	暖乎	101561	26262	1	null
-131106	渺无踪迹	65536	147344	3	{l=0}
-131107	密友	65536	23494	3	{n=0}
-131108	浦北	108380	28006	2	{ns=0}
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-131110	渺无音信	65536	149849	3	{l=0}
-131111	杜尔	103231	26460	1	null
-131112	封四	65536	23553	3	{n=0}
-131113	左图	65536	24038	3	{n=0}
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-131115	南海	67761	21335	2	{ns=13}
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-131118	守旧	76765	23432	2	{a=1}
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-131120	游戏厅	65536	177703	3	{n=1}
-131121	方便筷	65536	161279	3	{n=0}
-131122	湄公河	65536	131119	3	{ns=1}
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-131126	塞音	65536	22622	3	{n=0}
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-131128	湄洲湾	65536	138229	3	{ns=0}
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-131132	少尉	65536	23569	3	{n=0}
-131133	捣蛋	65536	25443	3	{v=1}
-131134	前科	65536	21069	3	{n=0}
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-131136	涡旋	65536	28065	3	{n=0}
-131137	渺小	65536	28218	3	{a=1, an=0}
-131138	少小	75988	23569	1	null
-131139	湍急	65536	28237	3	{a=0}
-131140	湖东乡	65536	148611	3	{ns=0}
-131141	慎重	65536	24910	3	{a=6, ad=2, d=1}
-131142	我盟	65536	25105	3	{n=1}
-131143	渭南	106968	28205	2	{ns=0}
-131144	湖光山	97755	149424	1	null
-131145	出生	68051	20986	2	{v=42, vn=9}
-131146	承包费	65536	139036	3	{n=2}
-131147	杂技界	65536	164132	3	{n=2}
-131148	流水号	65536	179983	3	{n=0}
-131149	湖光山色	65536	131144	3	{i=0}
-131150	止住	65536	27490	3	{v=1}
-131151	全额	65536	20840	3	{n=3}
-131152	喜果	65536	21916	3	{n=0}
-131153	拦腰	65536	25318	3	{d=1}
-131154	棍棒	65536	26829	3	{n=0}
-131155	前秦	65536	21069	3	{t=0}
-131156	文化战	88650	168038	1	null
-131157	搭乘	65536	25645	3	{v=2, vn=0}
-131158	数字网	65536	149960	3	{n=1}
-131159	压题	65536	21387	3	{vn=20}
-131160	湖北省	65536	149886	3	{ns=48}
-131161	湖口县	65536	150090	3	{ns=0}
-131162	湖吃海	109248	150122	1	null
-131163	南涧	69531	21335	2	{ns=0}
-131164	湖南省	65536	149950	3	{ns=47}
-131165	湖吃海喝	65536	131162	3	{l=0}
-131166	湖州市	65536	152645	3	{ns=7}
-131167	抹脖	92286	25273	1	null
-131168	湖心亭	65536	153130	3	{n=0}
-131169	宝石	65536	23453	3	{n=1, nz=0}
-131170	湖西村	65536	163814	3	{ns=0}
-131171	湘乡市	65536	134928	3	{ns=4}
-131172	浦南	65536	28006	3	{ns=0}
-131173	湘剧院	65536	135958	3	{n=1}
-131174	摩擦	96439	25705	2	{v=1, vn=3}
-131175	湘妃竹	65536	137778	3	{n=0}
-131176	我省	65536	25105	3	{n=2, r=0}
-131177	宿迁	81880	23487	2	{ns=1}
-131178	湘潭市	65536	143388	3	{ns=1}
-131179	怪异	65536	24618	3	{a=0, an=0}
-131180	湘鄂赣	65536	151985	3	{j=0}
-131181	总领队	65536	172241	3	{n=0}
-131182	拐走	65536	25296	3	{v=0}
-131183	可悲	65536	21487	3	{a=1}
-131184	椰树	65536	26928	3	{n=1, nz=1}
-131185	成交量	65536	155894	3	{n=3}
-131186	意兴	81589	24847	2	{n=0}
-131187	泊头	65536	27850	3	{n=0}
-131188	深水炸	106159	183988	1	null
-131189	湘阴县	65536	153315	3	{ns=0}
-131190	出界	65536	20986	3	{v=0, vn=0}
-131191	湛河区	65536	131283	3	{ns=0}
-131192	前程	68374	21069	2	{n=5}
-131193	浙南	65536	27993	3	{ns=1}
-131194	四化	71481	22235	2	{j=2, n=1}
-131195	湛江市	65536	131199	3	{ns=2}
-131196	扶优	89843	25206	2	{v=0}
-131197	封地	65536	23553	3	{n=0}
-131198	楚材	99097	26970	1	null
-131199	湛江	107129	28251	2	{ns=7}
-131200	游泳帽	65536	180491	3	{n=0}
-131201	和裁	74236	21644	1	null
-131202	湟中	109765	28255	1	null
-131203	摇旗	95905	25671	1	null
-131204	湟中县	65536	131202	3	{ns=1}
-131205	湾仔	65536	28286	3	{ns=1}
-131206	合影	65536	21512	3	{n=3, v=16, vd=0, vn=0}
-131207	可惊	71340	21487	1	null
-131208	受益	71348	21463	2	{v=26, vn=5}
-131209	湮没	65536	28270	3	{v=0}
-131210	湿乎乎	65536	132145	3	{z=0}
-131211	湿淋淋	65536	140206	3	{z=0}
-131212	军舰	65536	20891	3	{n=10}
-131213	斑疹	65536	26001	3	{n=0}
-131214	尾音	65536	23614	3	{n=0}
-131215	字数	65536	23383	3	{n=1}
-131216	浆汁	65536	27974	3	{n=1}
-131217	全食	65536	20840	3	{n=0, v=0}
-131218	湿漉漉	65536	140524	3	{z=1}
-131219	同喜	65536	21516	3	{v=0}
-131220	溃不成	110332	131335	1	null
-131221	军船	65536	20891	3	{n=0}
-131222	湿度表	65536	136329	3	{n=0}
-131223	溃不成军	65536	131220	3	{i=0}
-131224	溃疡病	65536	141467	3	{n=0}
-131225	可惜	65536	21487	3	{a=1, ad=0, v=7}
-131226	商州	65536	21830	3	{ns=1}
-131227	溆浦	109789	28294	2	{ns=0}
-131228	溆浦县	65536	131227	3	{ns=1}
-131229	源代码	65536	139038	3	{n=0}
-131230	拔火	83391	25300	1	null
-131231	慰问	93561	24944	2	{v=111, vn=49}
-131232	源安堂	65536	142276	3	{nz=0}
-131233	商工	65536	21830	3	{j=0}
-131234	密告	65536	23494	3	{v=0}
-131235	源文件	65536	144834	3	{n=0}
-131236	源源不	105211	147147	1	null
-131237	太阳鸟	65536	134229	3	{n=0}
-131238	歹意	65536	27513	3	{n=0}
-131239	千载	69569	21315	1	null
-131240	源源不断	65536	131236	3	{i=18}
-131241	斑痕	65536	26001	3	{n=1}
-131242	源源本本	65536	137667	3	{i=0}
-131243	源源而来	65536	144035	3	{i=0}
-131244	合得	66661	21512	1	null
-131245	源目录	65536	149289	3	{n=0}
-131246	源程序	65536	150086	3	{n=0}
-131247	围猎	65536	22260	3	{v=0}
-131248	可想	65766	21487	1	null
-131249	包间	65536	21253	3	{n=0}
-131250	水冲港	65536	181870	3	{ns=0}
-131251	源语言	65536	154664	3	{n=0}
-131252	清华大	107281	185448	1	null
-131253	源远流	92983	155671	1	null
-131254	源远流长	65536	131253	3	{i=7, l=0}
-131255	涵养	65536	28085	3	{n=1, v=2}
-131256	溘然	92986	28312	1	null
-131257	溘然长	94365	131256	1	null
-131258	溘然长逝	65536	131257	3	{i=1}
-131259	拍巴	90424	25293	1	null
-131260	声场	65536	22768	3	{n=1}
-131261	扶余	65536	25206	3	{ns=2}
-131262	字斟	81886	23383	1	null
-131263	指挥舰	65536	155722	3	{n=0}
-131264	溜之乎	111202	134476	1	null
-131265	溜之乎也	65536	131264	3	{i=0}
-131266	抵消	65536	25269	3	{v=5}
-131267	内营	66588	20869	1	null
-131268	押车	65536	25276	3	{v=0}
-131269	千辛	69563	21315	1	null
-131270	张口	78100	24352	2	{v=1}
-131271	溜之大吉	65536	134041	3	{i=1}
-131272	华西	65896	21326	2	{ns=3}
-131273	受看	65536	21463	3	{a=0}
-131274	溜冰场	65536	135345	3	{n=1}
-131275	坐探	65536	22352	3	{n=0}
-131276	可意	65536	21487	3	{a=0}
-131277	溜肩膀	65536	147370	3	{n=0}
-131278	撂荒	65536	25730	3	{v=1}
-131279	溜须拍	91748	153468	1	null
-131280	溜须拍马	65536	131279	3	{i=1}
-131281	溜溜严	65536	142749	3	{z=0}
-131282	溢于言	96369	131313	1	null
-131283	湛河	109885	28251	1	null
-131284	栽植	65536	26685	3	{v=1, vn=0}
-131285	摘编	65536	25688	3	{vn=1}
-131286	军艺	65536	20891	3	{j=0}
-131287	冷风	65536	20919	3	{n=2}
-131288	拙见	65536	25305	3	{n=1}
-131289	溢于言表	65536	131282	3	{l=3}
-131290	圣地	76573	22307	2	{n=6, nz=0}
-131291	抑郁	91702	25233	2	{a=1}
-131292	单比	70264	21333	2	{n=0}
-131293	溢洪坝	65536	139149	3	{n=0}
-131294	冷飕	65555	20919	1	null
-131295	溢美之	95508	143857	1	null
-131296	反弹	65536	21453	3	{v=12, vn=2}
-131297	溢美之词	65536	131295	3	{l=2}
-131298	北爱	69602	21271	2	{j=50}
-131299	出疹	65926	20986	1	null
-131300	桧柏	65536	26727	3	{n=0}
-131301	溢流坝	65536	139172	3	{n=0}
-131302	暑瘟	65536	26257	3	{n=0}
-131303	曾用	100430	26366	1	null
-131304	冷食	65560	20919	2	{n=3}
-131305	抵押金	65536	128502	3	{n=0}
-131306	溧水	109868	28327	2	{ns=0}
-131307	溧水县	65536	131306	3	{ns=2}
-131308	梦想	99891	26790	2	{n=17, v=2, vn=0}
-131309	基数	65536	22522	3	{n=6}
-131310	柠檬茶	65536	124225	3	{n=0}
-131311	摇晃	65536	25671	3	{v=2}
-131312	浦口	65536	28006	3	{ns=0}
-131313	溢于	95954	28322	1	null
-131314	浪漫史	65536	140887	3	{n=0}
-131315	望而生	92664	147875	1	null
-131316	浮价烟	65536	172775	3	{n=4}
-131317	古拙	65536	21476	3	{a=0, an=0}
-131318	存疑	65536	23384	3	{v=0}
-131319	溧阳市	65536	142057	3	{ns=0}
-131320	抢亲	65536	25250	3	{v=0}
-131321	套版	65536	22871	3	{n=0, v=0}
-131322	所见	89271	25152	1	null
-131323	歇凉	65536	27463	3	{v=1}
-131324	溪乾村	65536	131326	3	{ns=0}
-131325	溪口镇	65536	132707	3	{ns=0}
-131326	溪乾	104875	28330	1	null
-131327	溯源	65536	28335	3	{v=1}
-131328	形制	65536	24418	3	{n=0}
-131329	溴化	102047	28340	1	null
-131330	涨势	65536	28072	3	{n=6}
-131331	变相	65536	21464	3	{v=4, vd=2, vn=0}
-131332	忙音	65536	24537	3	{n=0}
-131333	圣坛	65536	22307	3	{n=0}
-131334	溶菌素	65536	144532	3	{n=0}
-131335	溃不	106116	28291	1	null
-131336	溴化物	65536	131329	3	{n=0}
-131337	溺婴罪	65536	131349	3	{n=0}
-131338	南湖	65536	21335	2	{ns=2}
-131339	华观	65536	21326	3	{nz=0}
-131340	滁县	65536	28353	3	{n=0}
-131341	溶解度	65536	146091	3	{n=0}
-131342	溽暑	65536	28349	3	{n=0}
-131343	康柏	65536	24247	3	{nz=3}
-131344	旅行者	65536	152838	3	{nz=0}
-131345	滁州市	65536	133931	3	{ns=1}
-131346	场馆	65536	22330	3	{n=5}
-131347	某市	65536	26576	3	{r=7}
-131348	幽径	65536	24189	3	{n=0}
-131349	溺婴	98719	28346	2	{v=0}
-131350	搭伙	65536	25645	3	{v=0}
-131351	滂沱	108531	28354	2	{a=0}
-131352	沪市	65536	27818	3	{j=10}
-131353	冷餐	65536	20919	3	{n=0}
-131354	滂沱大	92727	131351	1	null
-131355	海南戏	65536	184653	3	{n=0}
-131356	塔轮	65536	22612	3	{n=0}
-131357	拖儿	91906	25302	1	null
-131358	民族党	65536	179446	3	{n=1}
-131359	滂沱大雨	65536	131354	3	{n=0}
-131360	夜工	65536	22812	3	{n=0}
-131361	忧郁	65536	24551	3	{a=2, an=1}
-131362	歼敌	65536	27516	3	{v=0}
-131363	客官	65536	23458	3	{n=0}
-131364	滋养品	65536	132166	3	{n=0}
-131365	滇剧	65536	28359	3	{n=0}
-131366	染化	102793	26579	1	null
-131367	滋补品	65536	146224	3	{n=1}
-131368	毛毛躁	90354	177370	1	null
-131369	待理	91254	24453	1	null
-131370	师友	65536	24072	3	{n=1}
-131371	泻盐	65536	27899	3	{n=0}
-131372	悲叹	65536	24754	3	{v=0}
-131373	客客	77970	23458	1	null
-131374	押运	65536	25276	3	{v=0, vn=0}
-131375	滋阴壮	92925	149759	1	null
-131376	滋阴壮阳	65536	131375	3	{l=1}
-131377	搭伴	65536	25645	3	{v=0}
-131378	南湾	65536	21335	3	{ns=0}
-131379	清洁员	65536	192027	3	{n=2}
-131380	津城	65536	27941	3	{n=1, ns=0}
-131381	动静	65536	21160	3	{n=4}
-131382	滏临	107189	28367	1	null
-131383	内蒙	66262	20869	2	{ns=0}
-131384	全馆	65536	20840	3	{n=3}
-131385	滏临庄	65536	131382	3	{ns=0}
-131386	滑动摩	105564	146892	1	null
-131387	涝害	65536	28061	3	{n=0}
-131388	滑冰场	65536	146644	3	{n=1}
-131389	夜市	65536	22812	3	{n=6}
-131390	幽微	65536	24189	3	{an=0}
-131391	夏川	65536	22799	3	{nr=0}
-131392	港澳台	110657	154772	2	{j=5}
-131393	客家	85487	23458	2	{n=0}
-131394	滑动摩擦	65536	131386	3	{l=0}
-131395	泛指	65536	27867	3	{v=0, vn=0}
-131396	四叠	75492	22235	1	null
-131397	戏文	65536	25103	3	{n=0}
-131398	前站	65536	21069	3	{n=0}
-131399	滑动轴承	65536	142405	3	{l=0}
-131400	滑坡体	65536	148101	3	{n=2}
-131401	回光	65654	22238	1	null
-131402	滑头滑	98363	148568	1	null
-131403	可憎	65536	21487	3	{a=0}
-131404	滑头滑脑	65536	131402	3	{l=0}
-131405	滑润油	65536	153802	3	{n=0}
-131406	滑稽剧	65536	157025	3	{n=0}
-131407	滑行道	65536	160624	3	{n=1}
-131408	政治犯	65536	159752	3	{n=2}
-131409	斑白	65536	26001	3	{z=1}
-131410	前童	65853	21069	1	null
-131411	商店	65536	21830	3	{n=55}
-131412	滑翔伞	65536	158456	3	{n=0}
-131413	滑石片	65536	156439	3	{ns=2}
-131414	滋事	65536	28363	3	{v=2, vn=0}
-131415	太阳黑	77596	134229	1	null
-131416	滑车神	98955	162442	1	null
-131417	掘进	65536	25496	3	{v=3, vn=1}
-131418	滑车神经	65536	131416	3	{l=0}
-131419	滑轮组	65536	162450	3	{n=0}
-131420	前端	65536	21069	3	{f=2, n=0}
-131421	滑铁卢	65536	163813	3	{n=1, ns=1}
-131422	枕头风	65536	124042	3	{l=0}
-131423	押送	65536	25276	3	{v=0}
-131424	滔天	108602	28372	1	null
-131425	滔天大	98813	131424	1	null
-131426	守望	74281	23432	2	{v=2, vn=2}
-131427	有效率	65536	180714	3	{n=6}
-131428	滑雪板	65536	164366	3	{n=2}
-131429	夏布	65536	22799	3	{n=0}
-131430	浆洗	65536	27974	3	{v=0, vn=0}
-131431	滔天大罪	65536	131425	3	{n=0}
-131432	滔滔不	98958	136971	1	null
-131433	杉篙	65536	26441	3	{n=0}
-131434	怪态	65536	24618	3	{n=2}
-131435	滔滔不绝	65536	131432	3	{i=4}
-131436	四合	70650	22235	1	null
-131437	圣埃	65537	22307	1	null
-131438	晓畅	65536	26195	3	{a=0, v=0}
-131439	榜文	65536	27036	3	{n=0}
-131440	昏厥	65536	26127	3	{v=0}
-131441	滕州	107376	28373	2	{n=0}
-131442	滕州市	65536	131441	3	{ns=0}
-131443	守本	83744	23432	1	null
-131444	指挥若	92913	155722	1	null
-131445	滚动摩擦	65536	132819	3	{l=0}
-131446	滚动轴承	65536	143838	3	{l=0}
-131447	冷饮	65536	20919	3	{n=1}
-131448	圣城	65536	22307	3	{n=0}
-131449	滚动式	65536	145704	3	{b=0}
-131450	末子	65536	26411	3	{n=0}
-131451	滚地皮	65536	146864	3	{v=0}
-131452	替班	65536	26367	3	{v=1}
-131453	滚柱轴	106239	151153	1	null
-131454	滚柱轴承	65536	131453	3	{l=0}
-131455	双氧	65565	21452	1	null
-131456	染印	96311	26579	1	null
-131457	滚水坝	65536	152244	3	{n=0}
-131458	封堵	65536	23553	3	{v=1}
-131459	滚珠轴	106247	154208	1	null
-131460	废品	80298	24223	2	{n=3}
-131461	某年	65536	26576	3	{r=1}
-131462	滚珠轴承	65536	131459	3	{l=0}
-131463	束流	91117	26463	1	null
-131464	滚瓜流油	65536	131505	3	{l=0}
-131465	形势	65536	24418	3	{n=270}
-131466	模糊数	102088	148920	1	null
-131467	滚瓜溜圆	65536	131852	3	{l=0}
-131468	殴打	65536	27572	3	{v=2, vn=0}
-131469	滚瓜烂熟	65536	132402	3	{i=0}
-131470	捉襟	81326	25417	1	null
-131471	滚针轴	106263	162568	1	null
-131472	夜幕	79251	22812	2	{n=11}
-131473	机械泵	65536	173065	3	{n=0}
-131474	初选	65536	21021	3	{v=0, vn=0}
-131475	分片	65536	20998	3	{d=0, v=1, vd=2}
-131476	攀比	65536	25856	3	{v=2, vn=0}
-131477	族类	65536	26063	3	{n=0}
-131478	滚针轴承	65536	131471	3	{l=0}
-131479	滚雪球	65536	163178	3	{v=2}
-131480	惨淡	81018	24808	2	{z=0}
-131481	滞纳金	65536	142427	3	{n=2}
-131482	夏常	72653	22799	1	null
-131483	桐林	65536	26704	3	{nr=0}
-131484	滞销品	65536	148136	3	{n=0}
-131485	控制点	65536	117157	3	{n=1}
-131486	密商	65536	23494	3	{v=0}
-131487	摇曳	94685	25671	2	{v=4}
-131488	樱桃	65536	27185	3	{n=2}
-131489	满不在	111451	168806	1	null
-131490	文学社	65536	170166	3	{n=0}
-131491	和解	74417	21644	2	{v=4, vn=8}
-131492	殚思竭	92143	126529	1	null
-131493	拿摩	88062	25343	1	null
-131494	植树	88290	26893	2	{v=5, vn=4}
-131495	并不	65536	24182	3	{d=0}
-131496	初速	65536	21021	3	{n=0}
-131497	满不在乎	65536	131489	3	{i=0}
-131498	满分者	65536	169823	3	{n=1}
-131499	满园春	98110	171078	1	null
-131500	毁坏	65536	27585	3	{v=5, vn=1}
-131501	幽思	65536	24189	3	{n=0, v=0}
-131502	并且	65536	24182	3	{c=79}
-131503	庆阳	65536	24198	3	{ns=0}
-131504	满园春色	65536	131499	3	{i=0}
-131505	滚瓜流	103631	154460	1	null
-131506	满坑满	95612	171178	1	null
-131507	满坑满谷	65536	131506	3	{i=0}
-131508	台次	65536	21488	3	{q=3}
-131509	满城县	65536	171303	3	{ns=0}
-131510	滞后	65536	28382	3	{v=14, vn=0}
-131511	双江	65536	21452	3	{ns=0}
-131512	幽怨	65536	24189	3	{n=0}
-131513	满城风雨	65536	149188	3	{i=0}
-131514	歪打	98793	27498	1	null
-131515	满堂吉	107319	171355	1	null
-131516	搭便	80676	25645	1	null
-131517	满堂吉庆	108042	131515	1	null
-131518	满堂吉庆宴	65536	131517	3	{n=1}
-131519	植株	65536	26893	3	{n=2}
-131520	子公	81771	23376	1	null
-131521	满堂喝彩	65536	131919	3	{i=0}
-131522	奇士	65758	22855	1	null
-131523	揭批	65536	25581	3	{v=1}
-131524	反思	65536	21453	3	{v=7, vn=4}
-131525	圆珠	65569	22278	2	{j=0}
-131526	救火队	65536	148968	3	{n=0}
-131527	满天星	65536	171650	3	{n=0}
-131528	排污费	65536	160021	3	{n=9}
-131529	满头大	103795	171661	1	null
-131530	满头大汗	65536	131529	3	{l=1}
-131531	满山遍野	65536	136063	3	{l=0}
-131532	四周	73542	22235	2	{f=11, n=0, s=4}
-131533	欺世盗	104383	127977	1	null
-131534	植根	105093	26893	2	{v=1}
-131535	满当当	65536	173228	3	{z=0}
-131536	客居	65536	23458	3	{v=0}
-131537	桃仁	65536	26691	3	{n=0}
-131538	满怀信心	65536	131541	3	{l=8}
-131539	桐柏	103360	26704	2	{ns=5}
-131540	满山红	65536	172490	3	{n=0}
-131541	满怀信	107023	173401	1	null
-131542	棒曲	86465	26834	1	null
-131543	满怀深情	65536	139237	3	{d=0, l=1}
-131544	并举	65536	24182	3	{v=15, vn=0}
-131545	满意度	65536	173672	3	{n=3}
-131546	合情	71620	21512	2	{a=0}
-131547	满打满	99910	173996	1	null
-131548	接待费	65536	158237	3	{n=7}
-131549	满打满算	65536	131547	3	{l=0}
-131550	满江红	65536	176568	3	{nz=2}
-131551	法国式	65536	177465	3	{b=1}
-131552	四呼	65536	22235	3	{n=0}
-131553	染发	103115	26579	2	{v=1}
-131554	满洲国	65536	176779	3	{n=0}
-131555	满满当	107159	177210	1	null
-131556	图片	72865	22270	2	{n=623}
-131557	图版	65536	22270	3	{n=0}
-131558	昏君	65536	26127	3	{n=0}
-131559	南漳	69532	21335	2	{ns=0}
-131560	圆球	65536	22278	3	{n=0}
-131561	桃仙	65536	26691	3	{ns=1}
-131562	满满当当	65536	131555	3	{z=2}
-131563	满登登	65536	179156	3	{z=0}
-131564	满盘皆	94811	179249	1	null
-131565	救护队	65536	145441	3	{n=5}
-131566	满盘皆输	65536	131564	3	{l=1}
-131567	毕恭	99182	27605	1	null
-131568	满目生辉	65536	131578	3	{i=0}
-131569	满目疮痍	65536	131721	3	{i=1}
-131570	底子	65536	24213	3	{n=4}
-131571	悲哀	65536	24754	3	{a=0, an=4}
-131572	昏头转	99465	132863	1	null
-131573	满目苍凉	65536	135080	3	{l=0}
-131574	底孔	65536	24213	3	{n=0}
-131575	双沟	65536	21452	3	{ns=0}
-131576	台步	65536	21488	3	{n=0}
-131577	发审	69473	21457	1	null
-131578	满目生	94823	179271	1	null
-131579	回击	65536	22238	3	{v=1, vn=0}
-131580	满目荆榛	65536	135201	3	{i=0}
-131581	回函	65536	22238	3	{n=0, v=0}
-131582	满腔热	107022	181933	1	null
-131583	满腔热忱	65536	131582	3	{i=1}
-131584	满腹牢骚	65536	131596	3	{i=0}
-131585	浆液	65536	27974	3	{n=0}
-131586	显像	93186	26174	1	null
-131587	满腹狐疑	65536	131706	3	{i=0}
-131588	工作组	65536	149420	3	{n=13}
-131589	汛情	65536	27739	3	{n=0}
-131590	满腹珠玑	65536	131978	3	{i=0}
-131591	满腹经纶	65536	134777	3	{i=1}
-131592	救生船	65536	150172	3	{n=0}
-131593	满负荷	65536	184952	3	{d=4}
-131594	渐变	106260	28176	2	{v=0}
-131595	扳道	65536	25203	3	{v=0}
-131596	满腹牢	92006	181970	1	null
-131597	满载而	107199	185558	1	null
-131598	发家	70980	21457	2	{v=3}
-131599	快餐馆	65536	156452	3	{n=0}
-131600	手术钳	65536	164401	3	{n=0}
-131601	满载而归	65536	131597	3	{i=2}
-131602	内蕴	65536	20869	3	{n=4}
-131603	满面春	92487	187579	1	null
-131604	各界	65536	21508	3	{n=0, r=137}
-131605	满面春风	65536	131603	3	{i=0}
-131606	救生艇	65536	150172	3	{n=0}
-131607	滤波器	65536	137412	3	{n=0}
-131608	檄文	65536	27268	3	{n=0}
-131609	滤色片	65536	142932	3	{n=0}
-131610	孤立	77442	23396	2	{a=6, ad=0, an=0, v=10, vn=2}
-131611	滥套子	65536	134744	3	{n=0}
-131612	拜别	65536	25308	3	{v=0}
-131613	洗衣机	65536	170760	3	{n=7}
-131614	意匠	65536	24847	3	{n=0}
-131615	形单	86543	24418	1	null
-131616	滥竽充	105651	143358	1	null
-131617	志达	65536	24535	3	{nz=1}
-131618	南潮	65918	21335	1	null
-131619	滥竽充数	65536	131616	3	{i=0}
-131620	合意	65536	21512	3	{a=1}
-131621	巨幅	65536	24040	3	{b=4}
-131622	浸入	65536	28024	3	{v=1}
-131623	时间表	65536	179969	3	{n=6}
-131624	授业	65536	25480	3	{v=1}
-131625	档次	65536	26723	3	{n=20}
-131626	滦平县	65536	134368	3	{ns=1}
-131627	枣泥	65536	26531	3	{n=0}
-131628	滦县	65536	28390	3	{ns=1}
-131629	溶入	65536	28342	3	{v=0, vn=0}
-131630	滨州市	65536	132250	3	{ns=1}
-131631	滩涂式	65536	137691	3	{b=1}
-131632	回到	65536	22238	3	{v=74}
-131633	泰晤士河	65536	129058	3	{ns=0}
-131634	战斗队	65536	163398	3	{n=0}
-131635	审视	65536	23457	3	{v=5, vn=5}
-131636	抢修	85765	25250	2	{v=4, vn=2}
-131637	杳无消	99066	126906	1	null
-131638	择要	65536	25321	3	{d=1, v=1}
-131639	柴河	65536	26612	3	{ns=0}
-131640	滨江路	65536	135963	3	{ns=1}
-131641	滩羊皮	65536	142307	3	{n=0}
-131642	滨海区	65536	136243	3	{ns=0}
-131643	反悔	65536	21453	3	{v=1}
-131644	滴定管	65536	140255	3	{n=0}
-131645	柴油	97872	26612	2	{n=2}
-131646	威风	82101	23041	2	{a=4, an=1, n=1}
-131647	滴水不	103217	144505	1	null
-131648	滴水不漏	65536	131647	3	{i=0}
-131649	后刘	73807	21518	1	null
-131650	滴水成冰	65536	136770	3	{i=5}
-131651	滴水穿石	65536	143025	3	{i=0}
-131652	师哥	65536	24072	3	{n=0}
-131653	滴溜溜	94938	145121	2	{z=1}
-131654	滴溜溜转	65536	131653	3	{l=0}
-131655	役龄	65536	24441	3	{n=0}
-131656	有头有脑	65536	122517	3	{l=0}
-131657	滴滤池	65536	145193	3	{n=0}
-131658	滤器	65536	28388	3	{n=0}
-131659	橄榄绿	65536	125653	3	{n=0}
-131660	原点	65536	21407	3	{n=0}
-131661	榨汁	98972	27048	1	null
-131662	滴滴涕	65536	145209	3	{n=0}
-131663	处级	65536	22788	3	{b=10, n=0}
-131664	寿限	65536	23551	3	{n=0}
-131665	滴滴答答	65536	135181	3	{o=0}
-131666	滴眼药	65536	147329	3	{v=0}
-131667	滴虫病	65536	151216	3	{n=0}
-131668	按理	80596	25353	2	{d=1}
-131669	幽情	65536	24189	3	{n=0}
-131670	双泾	65958	21452	2	{ns=3}
-131671	滴里嘟	109564	154129	1	null
-131672	滴里嘟噜	65536	131671	3	{z=0}
-131673	太谷	79527	22826	1	null
-131674	暮生	65536	26286	3	{n=0}
-131675	滴鼻剂	65536	157568	3	{n=2}
-131676	发射	73154	21457	2	{v=31, vn=12}
-131677	滹沱	103853	28409	1	null
-131678	植棉	65536	26893	3	{n=1, v=0, vn=0}
-131679	坐收	69102	22352	1	null
-131680	滹沱河	65536	131677	3	{ns=0}
-131681	漂亮话	65536	131732	3	{n=0}
-131682	洗衣板	65536	170760	3	{n=0}
-131683	漂洋过	103662	139505	1	null
-131684	悠长	65536	24736	3	{a=2}
-131685	漂洋过海	65536	131683	3	{i=0}
-131686	漂流记	65536	139559	3	{n=2}
-131687	南澳	69534	21335	2	{j=1, ns=0}
-131688	末尾	65536	26411	3	{n=2}
-131689	寿险	65536	23551	3	{n=2}
-131690	挑三	91129	25361	1	null
-131691	加蓬	65536	21152	3	{ns=2}
-131692	摈除	65536	25672	3	{v=0}
-131693	忠肝	92166	24544	1	null
-131694	漂浮物	65536	139604	3	{n=0}
-131695	有头有脸	65536	122517	3	{l=0}
-131696	奇妙	65536	22855	3	{a=3, ad=0, an=0}
-131697	守株	80294	23432	1	null
-131698	声声	65536	22768	3	{n=0, q=7}
-131699	商德	65536	21830	3	{n=1}
-131700	摒除	65536	25682	3	{v=0}
-131701	公认	65536	20844	3	{v=14, vn=1}
-131702	数据舱	65536	152031	3	{n=0}
-131703	漂漂亮	111562	140008	1	null
-131704	漂漂亮亮	65536	131703	3	{z=0}
-131705	漂白剂	65536	141923	3	{n=0}
-131706	满腹狐	101490	181970	1	null
-131707	漆包线	65536	132920	3	{n=0}
-131708	汨罗江	65536	128022	3	{ns=0}
-131709	漆黑一	109473	152324	1	null
-131710	半票	65536	21322	3	{n=0}
-131711	公议	65536	20844	3	{v=0, vn=0}
-131712	字条	65536	23383	3	{n=2}
-131713	军营	65536	20891	3	{n=37}
-131714	台毯	65536	21488	3	{n=0}
-131715	漆黑一团	65536	131709	3	{i=0}
-131716	漏洞百	110731	141627	1	null
-131717	漏洞百出	65536	131716	3	{i=0}
-131718	拖动	65536	25302	3	{v=0}
-131719	居高	87632	23621	1	null
-131720	楚楚	104160	26970	1	null
-131721	满目疮	101412	179271	1	null
-131722	哈雷	70255	21704	1	null
-131723	公论	65536	20844	3	{n=0}
-131724	拔牙	65536	25300	3	{v=0}
-131725	漏网之	91666	146286	1	null
-131726	漏网之鱼	65536	131725	3	{l=0}
-131727	公设	65536	20844	3	{n=0}
-131728	漏风声	65536	152811	3	{l=0}
-131729	批捕	65536	25209	3	{v=1, vn=0}
-131730	公证	67693	20844	2	{n=0, v=1, vn=1}
-131731	漓江	65536	28435	3	{ns=10}
-131732	漂亮	95876	28418	2	{a=24}
-131733	演丰镇	65536	145088	3	{ns=1}
-131734	授予	65536	25480	3	{v=40, vn=0}
-131735	演习场	65536	145136	3	{n=1}
-131736	染色法	65536	143490	3	{n=0}
-131737	双流	65536	21452	3	{ns=3, nz=0}
-131738	公诉	67475	20844	2	{v=8, vn=3}
-131739	幼雏	65536	24188	3	{n=0}
-131740	基期	65536	22522	3	{n=6}
-131741	演化史	65536	146342	3	{n=1}
-131742	演员表	65536	146664	3	{n=0}
-131743	性急	65536	24615	3	{a=2}
-131744	才女	65536	25165	3	{n=0}
-131745	演奏会	65536	147935	3	{n=0}
-131746	形变	65536	24418	3	{n=0}
-131747	发屋	65536	21457	3	{n=0}
-131748	封套	65536	23553	3	{n=0}
-131749	我社	65536	25105	3	{n=0}
-131750	柳条筐	65536	160205	3	{n=0}
-131751	少年	87143	23569	2	{n=42}
-131752	演出团	65536	146058	3	{n=3}
-131753	基本	77915	22522	2	{a=313, ad=154, n=13, r=0}
-131754	活性炭	65536	176998	3	{n=0}
-131755	演唱会	65536	146881	3	{n=2}
-131756	演播厅	65536	150845	3	{n=6}
-131757	发展	72801	21457	2	{an=0, n=3, v=1568, vn=1644}
-131758	旅游年	65536	146162	3	{n=17}
-131759	演示会	65536	156106	3	{n=2}
-131760	戏曲	84041	25103	2	{n=46}
-131761	演绎法	65536	157534	3	{n=0}
-131762	演职人	110171	157916	1	null
-131763	演职人员	65536	131762	3	{n=2}
-131764	幽愤	65536	24189	3	{n=0}
-131765	桌案	65536	26700	3	{n=0}
-131766	愁眉锁	83082	123975	1	null
-131767	撤消	65536	25764	3	{v=2, vn=0}
-131768	拙计	65536	25305	3	{n=0}
-131769	演讲会	65536	160834	3	{n=2}
-131770	永无止	105050	157509	1	null
-131771	昂贵	65536	26114	3	{a=5, an=1}
-131772	挠钩	65536	25376	3	{n=0}
-131773	治疗学	65536	157555	3	{n=0}
-131774	可持	65729	21487	1	null
-131775	滨海县	65536	136243	3	{ns=0}
-131776	演艺圈	65536	158474	3	{n=1}
-131777	漕河泾	65536	131778	3	{ns=1}
-131778	漕河	103875	28437	2	{n=0}
-131779	漠不关心	65536	131793	3	{i=0}
-131780	圣多	65643	22307	1	null
-131781	榨油	98974	27048	2	{v=0}
-131782	反感	65536	21453	3	{an=2, v=2}
-131783	戴高	94309	25140	1	null
-131784	授人	96567	25480	1	null
-131785	公诸	67520	20844	1	null
-131786	漠不相关	65536	141398	3	{l=0}
-131787	漠然置之	65536	131794	3	{i=0}
-131788	恬静	65536	24684	3	{a=2}
-131789	口琴	65536	21475	3	{n=0}
-131790	新大陆	65536	174179	3	{n=0}
-131791	悲喜	93112	24754	2	{n=1}
-131792	漠不	110942	28448	1	null
-131793	漠不关	107264	131792	1	null
-131794	漠然置	111744	140793	1	null
-131795	满腔热情	65536	131582	3	{l=4}
-131796	圣太	66810	22307	1	null
-131797	料理	97489	26009	2	{v=4, vn=0}
-131798	形同	76589	24418	1	null
-131799	悠闲	79911	24736	2	{a=1, ad=0}
-131800	漠然视之	65536	134442	3	{l=1}
-131801	漫不经	107294	137076	1	null
-131802	民族化	65536	179446	3	{v=5}
-131803	后劲	65536	21518	3	{n=9}
-131804	掀起	65536	25472	3	{v=28}
-131805	漩流	65536	28457	3	{n=0}
-131806	检举	104593	26816	2	{v=5, vn=0}
-131807	扶养	65536	25206	3	{v=0}
-131808	单淘	65537	21333	1	null
-131809	漫不经心	65536	131801	3	{i=1}
-131810	漫天要	111598	139920	1	null
-131811	夏征	65536	22799	3	{j=0}
-131812	底层	65536	24213	3	{n=5}
-131813	漫天要价	65536	131810	3	{l=2}
-131814	抄身	65536	25220	3	{v=0}
-131815	漫山遍	94493	140760	1	null
-131816	担保费	65536	119897	3	{n=1}
-131817	温度计	65536	176484	3	{n=1}
-131818	戏本	65536	25103	3	{n=0}
-131819	漫山遍野	65536	131815	3	{i=0}
-131820	告饶	65536	21578	3	{v=0}
-131821	围界	65536	22260	3	{n=1}
-131822	毋庸置言	65536	126586	3	{i=0}
-131823	漫无止境	65536	131827	3	{l=0}
-131824	性恶	76888	24615	1	null
-131825	攻克	65536	25915	3	{v=7}
-131826	台江	65536	21488	3	{ns=0}
-131827	漫无止	109164	143175	1	null
-131828	漫无边际	65536	141130	3	{i=0}
-131829	漫无际涯	65536	142806	3	{i=0}
-131830	千里	70464	21315	1	null
-131831	原煤	65536	21407	3	{n=5}
-131832	千野	65536	21315	3	{nr=0}
-131833	漫游生	102551	145311	1	null
-131834	受礼	65728	21463	2	{v=0, vn=0}
-131835	千金	69574	21315	2	{n=1}
-131836	无机肥	94158	178305	1	null
-131837	昂起	65536	26114	3	{v=0}
-131838	基极	65536	22522	3	{n=0}
-131839	库藏	65536	24211	3	{n=0}
-131840	漫游生物	65536	131833	3	{l=0}
-131841	漫画家	65536	147106	3	{n=6}
-131842	处罚	65536	22788	3	{n=0, v=22, vn=50}
-131843	浸剂	65536	28024	3	{n=0}
-131844	声如	70003	22768	1	null
-131845	晴空	101575	26228	2	{n=2}
-131846	混凝土	65536	140889	3	{n=13}
-131847	柳条箱	65536	160205	3	{n=0}
-131848	封妻	72922	23553	1	null
-131849	漯河	107785	28463	2	{ns=0}
-131850	溶剂	65536	28342	3	{n=2}
-131851	漯河市	65536	131849	3	{ns=0}
-131852	滚瓜溜	109189	154460	1	null
-131853	后勤	70264	21518	2	{n=16, nr=0}
-131854	济宁	105620	27982	2	{ns=0}
-131855	意向	93569	24847	2	{n=5}
-131856	漱口	105380	28465	2	{v=0}
-131857	柔和	65536	26580	3	{a=3, an=0}
-131858	悲嗟	65536	24754	3	{v=0}
-131859	漱口杯	65536	131856	3	{n=0}
-131860	漳州市	65536	134469	3	{ns=0}
-131861	漳浦县	65536	138445	3	{ns=0}
-131862	处置	72441	22788	2	{v=10, vn=4}
-131863	张嘴	65536	24352	3	{v=3}
-131864	漾奶	65536	28478	3	{v=0}
-131865	攻关	85498	25915	2	{v=7, vn=27}
-131866	期望	102275	26399	2	{an=0, n=0, v=13, vn=12}
-131867	潇洒不	99233	132091	1	null
-131868	攻其	97973	25915	1	null
-131869	潇水	65536	28487	3	{ns=0}
-131870	期期	89414	26399	1	null
-131871	朱墨	65536	26417	3	{n=0}
-131872	带羞	65536	24102	3	{v=0}
-131873	半程	65536	21322	3	{n=0}
-131874	潇洒不羁	65536	131867	3	{i=0}
-131875	华诚	65536	21326	3	{nz=0}
-131876	潍县	65536	28493	3	{ns=0}
-131877	合成	72620	21512	2	{nz=0, v=5, vn=2}
-131878	漳县	65536	28467	3	{ns=0}
-131879	华诞	65536	21326	3	{n=4}
-131880	在行	65536	22312	3	{a=0}
-131881	加薪	65536	21152	3	{v=0}
-131882	期末	65536	26399	3	{t=1}
-131883	晕头转	99845	124248	1	null
-131884	武侠片	65536	171369	3	{n=1}
-131885	显出	65536	26174	3	{v=6}
-131886	担纲	65536	25285	3	{v=2}
-131887	押金	65536	25276	3	{n=5}
-131888	潍坊市	65536	132783	3	{ns=5}
-131889	帮衬	65536	24110	3	{v=1}
-131890	旁切	97379	26049	1	null
-131891	怒气	91525	24594	2	{n=1}
-131892	潘家	110423	28504	1	null
-131893	愁闷	65536	24833	3	{a=0}
-131894	华语	65536	21326	3	{nz=1}
-131895	听阈	65536	21548	3	{n=0}
-131896	控诉	96968	25511	2	{v=0, vn=1}
-131897	渗入	65536	28183	3	{v=1, vn=0}
-131898	潘家口	65536	131892	3	{n=0}
-131899	格登碑	65536	154732	3	{n=0}
-131900	潘帕斯	65536	132499	3	{ns=0}
-131901	漩涡	65536	28457	3	{n=3}
-131902	探险队	65536	163225	3	{n=2}
-131903	性情	65536	24615	3	{n=1}
-131904	歇后	90118	27463	1	null
-131905	潜台词	65536	146659	3	{n=1}
-131906	期权	65536	26399	3	{n=4}
-131907	尾骨	65536	23614	3	{n=0}
-131908	沟施	65536	27807	3	{n=0}
-131909	工作者	65536	149420	3	{n=90}
-131910	潜伏性	65536	145410	3	{n=0}
-131911	回升	65536	22238	3	{v=51, vn=20}
-131912	潜心斋	65536	149686	3	{ns=0}
-131913	潜意识	65536	150018	3	{n=1}
-131914	潜望镜	65536	151566	3	{n=0}
-131915	潜滋暗	93649	153534	1	null
-131916	所谓	65536	25152	3	{b=3, v=71, vn=1}
-131917	淮城	92209	28142	1	null
-131918	潜江县	65536	152914	3	{ns=0}
-131919	满堂喝	107096	171355	1	null
-131920	潜滋暗长	65536	131915	3	{l=0}
-131921	拜占	91860	25308	1	null
-131922	分理	65785	20998	2	{v=1}
-131923	潜研堂	65536	155911	3	{ns=0}
-131924	潜移默	110657	156398	1	null
-131925	回单	65536	22238	3	{n=2}
-131926	字样	65536	23383	3	{n=16}
-131927	潜移默化	65536	131924	3	{i=4}
-131928	字根	65536	23383	3	{n=0}
-131929	潞西市	65536	144656	3	{ns=0}
-131930	潢川	110495	28514	1	null
-131931	添加	109580	28155	2	{v=0, vn=1}
-131932	潜水员	65536	152871	3	{n=1}
-131933	夹缝	65536	22841	3	{n=0}
-131934	潢川县	65536	131930	3	{ns=0}
-131935	潞城	65536	28510	3	{ns=0}
-131936	潦倒	99481	28518	2	{a=0}
-131937	潦倒终	95418	131936	1	null
-131938	寿面	65536	23551	3	{n=0}
-131939	加藤	65536	21152	3	{nr=0}
-131940	可控	65536	21487	1	null
-131941	潦倒终身	65536	131937	3	{l=0}
-131942	潭头镇	65536	131951	3	{ns=0}
-131943	潭柘寺	65536	135699	3	{ns=1}
-131944	潮乎乎	65536	143999	3	{z=1}
-131945	搬运费	65536	133361	3	{n=0}
-131946	潮卷浪	103904	145320	1	null
-131947	座钟	65536	24231	3	{n=0}
-131948	潮卷浪涌	65536	131946	3	{i=0}
-131949	慢腾	80760	24930	1	null
-131950	和议	65536	21644	3	{v=0}
-131951	潭头	93727	28525	1	null
-131952	潮呼呼	65536	145581	3	{z=0}
-131953	意味	85482	24847	2	{n=14, v=2, vn=0}
-131954	桌椅	98285	26700	2	{n=4}
-131955	后半	71088	21518	1	null
-131956	潮安县	65536	147386	3	{ns=0}
-131957	忽闪	87764	24573	2	{v=1}
-131958	夜总	79308	22812	1	null
-131959	潮州市	65536	147983	3	{ns=0}
-131960	欠妥	65536	27424	3	{v=0}
-131961	潮平两	108228	148132	1	null
-131962	塔里	71373	22612	1	null
-131963	梳理	98606	26803	2	{v=2, vn=1}
-131964	潮平两岸	93545	131961	1	null
-131965	潮平两岸阔	65536	131964	3	{i=0}
-131966	怒江	88414	24594	2	{ns=0}
-131967	暖冬	65536	26262	3	{n=8}
-131968	招待费	65536	147325	3	{n=10}
-131969	商情	65536	21830	3	{n=0}
-131970	潮润润	65536	152023	3	{z=0}
-131971	声威	65536	22768	3	{n=1}
-131972	取长	65581	21462	1	null
-131973	操演	65536	25805	3	{v=0}
-131974	回历	65536	22238	3	{n=0}
-131975	双港	65590	21452	1	null
-131976	尖脐	65536	23574	3	{n=0}
-131977	滩地	65536	28393	3	{n=0}
-131978	满腹珠	102005	181970	1	null
-131979	油头粉	89707	181420	1	null
-131980	潮涨潮	98128	152025	1	null
-131981	潮涨潮落	65536	131980	3	{l=1}
-131982	抢先	65536	25250	3	{v=3, vd=0, vn=0}
-131983	抢光	65536	25250	3	{v=1}
-131984	半空	65536	21322	3	{s=1}
-131985	潮田乡	65536	153953	3	{ns=0}
-131986	潮白河	65536	154286	3	{ns=0}
-131987	毛里求	100870	187083	1	null
-131988	后卫	65536	21518	3	{n=0}
-131989	文化教	85772	168038	1	null
-131990	沼气池	65536	128578	3	{n=0}
-131991	潮阳市	65536	162404	3	{ns=1}
-131992	潴留	65536	28532	3	{v=0}
-131993	性感	65536	24615	3	{a=0, n=0}
-131994	潸潸	65536	28536	3	{z=0}
-131995	拒谏	76676	25298	1	null
-131996	子午	83150	23376	1	null
-131997	拆墙	82679	25286	1	null
-131998	机动船	65536	167425	3	{n=3}
-131999	无往不胜	65536	120040	3	{i=0}
-132000	潸然泪	112031	132440	1	null
-132001	攻击	96810	25915	2	{v=7, vn=7}
-132002	朴素	97126	26420	2	{a=15, ad=0}
-132003	古文	71505	21476	2	{n=0}
-132004	扬中	90910	25196	1	null
-132005	拦蓄	65536	25318	3	{v=0}
-132006	杆状	65536	26438	3	{n=0}
-132007	止动	99524	27490	1	null
-132008	方言词	65536	176192	3	{n=0}
-132009	摘自	65536	25688	3	{v=0}
-132010	潸然泪下	65536	132000	3	{i=1}
-132011	潺潺	104043	28538	2	{o=3, z=0}
-132012	潺潺流	104318	132011	1	null
-132013	挂号费	65536	147150	3	{n=1}
-132014	双湖	65536	21452	3	{ns=1}
-132015	反戈	71934	21453	1	null
-132016	敲竹	92123	25970	1	null
-132017	摇椅	65536	25671	3	{n=0}
-132018	潺潺流水	65536	132012	3	{i=1}
-132019	忠臣	65536	24544	3	{n=0}
-132020	潼关	65536	28540	3	{ns=0}
-132021	泳帽	65536	27891	3	{n=0}
-132022	棒棒	93175	26834	1	null
-132023	泽宁	102453	27901	1	null
-132024	少待	65536	23569	3	{v=0}
-132025	客帮	65536	23458	3	{n=0}
-132026	库蚊	65536	24211	3	{n=0}
-132027	回去	65536	22238	3	{v=24, vn=1}
-132028	澄浆泥	65536	132359	3	{n=0}
-132029	弱音	88580	24369	1	null
-132030	洞口	65536	27934	3	{n=2}
-132031	忽阴	87769	24573	1	null
-132032	澎湖列	108328	132061	1	null
-132033	淋巴球	65536	130441	3	{n=0}
-132034	捎马	93231	25422	1	null
-132035	澎湖列岛	65536	132032	3	{n=0}
-132036	悬崖	92000	24748	2	{n=2}
-132037	澜沧	104306	28572	1	null
-132038	合抱	65536	21512	3	{v=2}
-132039	气势汹	99403	177164	1	null
-132040	和谈	65536	21644	3	{v=15, vn=31}
-132041	各省	65536	21508	3	{r=28}
-132042	澎湃	65536	28558	3	{v=4}
-132043	古斯	65536	21476	3	{nr=0}
-132044	洒水	102813	27922	1	null
-132045	浴场	65536	28020	3	{n=1}
-132046	渗出	65536	28183	3	{v=2}
-132047	湿度计	65536	136329	3	{n=0}
-132048	和谐	65536	21644	3	{a=19, ad=1, an=2}
-132049	澜沧江	65536	132037	3	{ns=1}
-132050	澳众院	65536	132219	3	{j=1}
-132051	泡沫式	65536	133690	3	{n=1}
-132052	总领馆	65536	172241	3	{j=0, n=2}
-132053	古方	65536	21476	3	{n=0}
-132054	喜欢	65536	21916	3	{a=0, v=34, vn=1}
-132055	澳大利	111943	134795	1	null
-132056	变种	65536	21464	3	{n=0}
-132057	套用	65536	22871	3	{v=1, vn=0}
-132058	放牛郎	65536	169827	3	{n=0}
-132059	原版	65536	21407	3	{n=1, vn=0}
-132060	民航机	65536	186705	3	{n=0}
-132061	澎湖	111017	28558	1	null
-132062	溶化	65536	28342	3	{v=2, vn=0}
-132063	戏校	65536	25103	3	{j=0}
-132064	吉隆	70921	21513	1	null
-132065	澳大利亚	65536	132055	3	{ns=72}
-132066	合拍	65536	21512	3	{a=1, v=1}
-132067	富民	80226	23500	2	{nz=0, v=9, vn=0}
-132068	澳柯玛	65536	138579	3	{nz=0}
-132069	梯田	65536	26799	3	{n=2}
-132070	北电	65536	21271	3	{j=2}
-132071	同声	65536	21516	3	{d=2, n=0, nr=0}
-132072	澹台	65536	28601	3	{nr=0}
-132073	激光器	65536	149756	3	{n=0}
-132074	激动不已	65536	132080	3	{l=6}
-132075	弄鬼	65536	24324	3	{v=0}
-132076	拖后	82863	25302	1	null
-132077	激动人心	65536	132253	3	{l=5}
-132078	洋洋大	93947	182268	1	null
-132079	授信	65536	25480	3	{j=0}
-132080	激动不	108024	150107	1	null
-132081	樟脑	105430	27167	2	{n=0}
-132082	反手	65536	21453	3	{b=0, d=0, n=0}
-132083	公财	65536	20844	3	{n=3}
-132084	激发态	65536	150404	3	{n=0}
-132085	溜溜光	65536	142749	3	{z=0}
-132086	澡堂	65536	28577	3	{n=0}
-132087	合拢	65536	21512	3	{v=0, vn=0}
-132088	反扑	65536	21453	3	{v=0, vn=0}
-132089	反扒	65536	21453	3	{vn=1}
-132090	后发	72840	21518	1	null
-132091	潇洒	111886	28487	2	{a=10, ad=2, an=1}
-132092	原物	65536	21407	3	{n=0}
-132093	北界	66923	21271	1	null
-132094	斩草	80511	26025	1	null
-132095	反托	66620	21453	1	null
-132096	激将法	65536	152505	3	{n=0}
-132097	激昂慷	107162	155061	1	null
-132098	激昂慷慨	65536	132097	3	{i=0}
-132099	古旧	65536	21476	3	{a=2, an=1}
-132100	检字表	65536	135159	3	{n=0}
-132101	激活剂	65536	156910	3	{n=0}
-132102	扇面	93633	25159	2	{n=0}
-132103	激流汹	104061	156916	1	null
-132104	回合	65536	22238	3	{n=10, q=0}
-132105	激流汹涌	65536	132103	3	{l=0}
-132106	公费	65617	20844	2	{n=3}
-132107	激浊扬	103943	156925	1	null
-132108	激浊扬清	65536	132107	3	{i=3}
-132109	扶助	65536	25206	3	{v=4, vn=1}
-132110	审计	84043	23457	2	{v=31, vn=36}
-132111	审订	65536	23457	3	{v=0}
-132112	公贿	65536	20844	3	{j=8}
-132113	滥伐	65536	28389	3	{v=0, vn=0}
-132114	古时	72207	21476	2	{t=1}
-132115	掉色	65536	25481	3	{v=0}
-132116	激素类	65536	160979	3	{n=0}
-132117	濑户	65536	28625	3	{nr=0, ns=0}
-132118	濒危种	65536	133481	3	{n=1}
-132119	消费层	65536	188948	3	{n=0}
-132120	激进党	65536	165774	3	{n=2}
-132121	后台	65832	21518	2	{n=6}
-132122	架构	65536	26550	3	{n=1}
-132123	审议	85375	23457	2	{v=37, vd=0, vn=9}
-132124	审讯	65536	23457	3	{v=0, vn=1}
-132125	文件袋	65536	166982	3	{n=0}
-132126	展示	87404	23637	2	{v=75, vn=6}
-132127	榜样	65536	27036	3	{n=20}
-132128	澄江	65536	28548	3	{ns=0}
-132129	濮阳	110695	28654	2	{ns=0}
-132130	客店	65536	23458	3	{n=0}
-132131	渣子	65536	28195	3	{n=0}
-132132	濯锦	65536	28655	3	{v=1}
-132133	探亲访	95455	144866	1	null
-132134	濮阳县	65536	132129	3	{ns=0}
-132135	瀑布	65536	28689	3	{n=5}
-132136	榆林	65536	27014	3	{ns=3}
-132137	瀚海	65536	28698	3	{n=0}
-132138	包饭	65536	21253	3	{n=0, v=0}
-132139	瀛州镇	65536	134692	3	{ns=0}
-132140	濒临	65536	28626	3	{v=16, vd=0}
-132141	摩梭	65536	25705	3	{nz=0}
-132142	影碟	84737	24433	2	{n=3}
-132143	瀛海威	65536	138685	3	{nz=5}
-132144	周缘	65536	21608	3	{n=0}
-132145	湿乎	111164	28287	1	null
-132146	客座	79697	23458	2	{n=1}
-132147	少怀	84397	23569	1	null
-132148	智利	100714	26234	2	{ns=21}
-132149	毫厘不爽	65536	126946	3	{i=0}
-132150	瀛台	65536	28699	3	{ns=0}
-132151	子口	65536	23376	3	{n=0}
-132152	灌木丛	65536	141680	3	{n=1}
-132153	子句	65536	23376	3	{n=0}
-132154	灌注桩	65536	143152	3	{n=1}
-132155	灌米汤	65536	147131	3	{l=0}
-132156	抄送	65536	25220	3	{v=0}
-132157	恭顺	65536	24685	3	{a=0}
-132158	反抗	67798	21453	2	{v=2, vn=0}
-132159	忠良	65536	24544	3	{n=0, nr=0}
-132160	标识物	65536	164626	3	{n=4}
-132161	师团	75991	24072	2	{n=0}
-132162	欣欣	104299	27427	1	null
-132163	弱项	65536	24369	3	{n=2}
-132164	濡养	65536	28641	3	{v=0}
-132165	火上加	104342	183417	1	null
-132166	滋养	109667	28363	2	{n=0, v=1, vn=1}
-132167	口疮	65536	21475	3	{n=0}
-132168	水果摊	65536	187480	3	{n=0}
-132169	原状	65536	21407	3	{n=8}
-132170	子叶	65536	23376	3	{n=0}
-132171	灌溉渠	65536	143569	3	{n=2}
-132172	澡塘	65536	28577	3	{n=1}
-132173	浇地	65536	27975	3	{n=0, v=2}
-132174	晶石	65536	26230	3	{nz=0}
-132175	火上加油	65536	132165	3	{i=0}
-132176	母亲节	65536	156055	3	{t=1}
-132177	拦河闸	65536	125844	3	{n=0}
-132178	执照	65536	25191	3	{n=10}
-132179	火上浇油	65536	138988	3	{i=0}
-132180	弹丸	90658	24377	2	{n=0}
-132181	湮灭	65536	28270	3	{v=1, vn=0}
-132182	受窘	65536	21463	3	{v=0}
-132183	火中取	105538	183452	1	null
-132184	四围	65536	22235	3	{f=0}
-132185	火中取栗	65536	132183	3	{i=0}
-132186	澄沙	65536	28548	3	{n=0}
-132187	发布	72229	21457	2	{v=40, vn=7}
-132188	村村落	89624	165668	1	null
-132189	溢出	65536	28322	3	{v=0}
-132190	火光烛	109377	184248	1	null
-132191	格拉茨	65536	149690	3	{ns=5}
-132192	案情	65536	26696	3	{n=6}
-132193	四国	65536	22235	3	{ns=0}
-132194	圆白	65542	22278	1	null
-132195	极目眺	97515	158582	1	null
-132196	出示	65536	20986	3	{v=8}
-132197	攻势	65536	25915	3	{n=6}
-132198	持证	65536	25345	3	{v=5, vd=0, vn=1}
-132199	古晋	65536	21476	3	{ns=0}
-132200	审读	65536	23457	3	{v=0, vn=0}
-132201	晒图纸	65536	122545	3	{n=0}
-132202	火光烛天	65536	132190	3	{l=0}
-132203	曲线美	65536	166157	3	{n=0}
-132204	火冒三	112229	184321	1	null
-132205	火冒三丈	65536	132204	3	{i=1}
-132206	火凤凰	65536	184403	3	{nz=1}
-132207	火力发电	65536	132228	3	{l=2}
-132208	火地岛	65536	185759	3	{ns=2}
-132209	火头上	65536	186275	3	{t=0}
-132210	火字旁	65536	186822	3	{n=0}
-132211	回味	70030	22238	2	{n=0, v=0, vn=0}
-132212	名下	67572	21517	2	{n=0}
-132213	批改	65536	25209	3	{v=0, vn=0}
-132214	名不	72628	21517	1	null
-132215	火山地震	65536	133118	3	{l=0}
-132216	棚户	103847	26842	2	{n=0}
-132217	围盘	65536	22260	3	{n=0}
-132218	楚歌	65536	26970	3	{n=0}
-132219	澳众	93552	28595	1	null
-132220	名专	67028	21517	1	null
-132221	才子	94231	25165	2	{n=0}
-132222	华贵	65536	21326	3	{a=1}
-132223	惨烈	65536	24808	3	{a=1, an=0}
-132224	就此	65536	23601	3	{d=8}
-132225	分电	66082	20998	1	null
-132226	洒泪	65536	27922	3	{v=0}
-132227	图瓦	75159	22270	1	null
-132228	火力发	102202	184586	1	null
-132229	梨狗	65536	26792	3	{n=0}
-132230	濒于	65536	28626	3	{v=0, vd=0}
-132231	底工	65536	24213	3	{n=0}
-132232	出神	67319	20986	2	{v=1}
-132233	火成岩	65536	188543	3	{n=0}
-132234	可操	72515	21487	1	null
-132235	火柴厂	65536	190051	3	{n=2}
-132236	火树金	98780	190080	1	null
-132237	火树金花	65536	132236	3	{i=1}
-132238	检修	65536	26816	3	{v=6, vn=2}
-132239	捷足	95934	25463	1	null
-132240	火树银花	112264	133041	2	{i=6}
-132241	后周	65536	21518	3	{t=0}
-132242	必要	91913	24517	2	{a=96, ad=0, an=20, b=3, v=0}
-132243	才学	78346	25165	2	{n=0}
-132244	檐瓦	65536	27280	3	{n=0}
-132245	火树银花不	109437	132240	1	null
-132246	恐龙	78381	24656	2	{n=18}
-132247	斑秃	65536	26001	3	{n=0}
-132248	分界	65646	20998	2	{n=0, v=2}
-132249	火树银花不夜	109426	132245	1	null
-132250	滨州	107564	28392	2	{ns=9}
-132251	火树银花不夜天	65536	132249	3	{l=3, n=0}
-132252	滨江道	65536	135963	3	{ns=0}
-132253	激动人	107562	150107	1	null
-132254	末年	65536	26411	3	{f=1, n=0, t=0}
-132255	火油炉	65536	191272	3	{n=0}
-132256	椰汁	65536	26928	3	{n=0}
-132257	拿来	96237	25343	1	null
-132258	榆树	101317	27014	2	{n=0, ns=0}
-132259	名为	65536	21517	3	{v=1}
-132260	火浣布	65536	191442	3	{n=0}
-132261	封存	65536	23553	3	{v=3, vn=0}
-132262	智力	97365	26234	2	{n=12}
-132263	火海刀	108599	191462	1	null
-132264	火海刀山	65536	132263	3	{i=0}
-132265	奇寒	65536	22855	3	{n=3}
-132266	火烈鸟	65536	192311	3	{n=1}
-132267	火烧火燎	65536	140958	3	{i=0}
-132268	火烧眉毛	65536	142652	3	{i=0}
-132269	溃决	65536	28291	3	{v=0}
-132270	火焰山	65536	192415	3	{n=0}
-132271	披载	65536	25259	3	{v=1}
-132272	棒槌	65536	26834	3	{n=0}
-132273	火山口	65536	187104	3	{n=2}
-132274	名义	69631	21517	2	{n=29}
-132275	批发部	65536	127757	3	{n=0}
-132276	火爆爆	65536	192629	3	{z=0}
-132277	火狐狸	65536	192831	3	{n=1}
-132278	旁压	98515	26049	1	null
-132279	火电厂	65536	193444	3	{n=0}
-132280	拳王	65536	25331	3	{n=0}
-132281	火眼金	101729	193963	1	null
-132282	怒涛	83888	24594	2	{n=0}
-132283	墨镜	65536	22696	3	{n=1}
-132284	火眼金睛	65536	132281	3	{i=1}
-132285	圆盘	65873	22278	2	{n=0}
-132286	族群	65536	26063	3	{n=0}
-132287	火石岗	105840	194146	1	null
-132288	公路	65581	20844	2	{b=1, n=98}
-132289	火石岗村	65536	132287	3	{ns=2}
-132290	台港	65537	21488	1	null
-132291	批文	65536	25209	3	{n=0}
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-132293	最为	65536	26368	3	{d=36, v=0}
-132294	火硝纸	65536	194252	3	{n=0}
-132295	火种刀	99508	194620	1	null
-132296	喜气	67313	21916	2	{n=3}
-132297	火种刀耕	65536	132295	3	{l=0}
-132298	同姓	65536	21516	3	{v=0, vn=0}
-132299	拒贿	65536	25298	3	{v=0}
-132300	火筷子	65536	195046	3	{n=0}
-132301	回响	65536	22238	3	{n=0, v=0}
-132302	扎猛	91261	25166	1	null
-132303	火箭干部	65536	132323	3	{n=0}
-132304	殴斗	65536	27572	3	{v=1}
-132305	末座	65536	26411	3	{n=0}
-132306	智勇	100127	26234	1	null
-132307	批斗	65536	25209	3	{v=0, vn=0}
-132308	商战	65536	21830	3	{n=7}
-132309	扶危	87074	25206	1	null
-132310	拍戏	65536	25293	3	{v=2}
-132311	火腿肉	65536	196590	3	{n=0}
-132312	图画	70515	22270	2	{n=8}
-132313	火花塞	65536	196896	3	{n=0}
-132314	火辣辣	65536	200210	3	{z=0}
-132315	灭绝人	107702	144818	1	null
-132316	消声室	65536	175563	3	{n=0}
-132317	灭绝人性	65536	132315	3	{i=0}
-132318	恩施	88936	24681	2	{ns=3}
-132319	文学类	65536	170166	3	{n=0}
-132320	渡头	65536	28193	3	{n=0}
-132321	左家	85647	24038	1	null
-132322	火药味	65536	197086	3	{n=0}
-132323	火箭干	95207	195100	1	null
-132324	火葬场	65536	197339	3	{n=0}
-132325	封官	70801	23553	1	null
-132326	灭菌奶	65536	146081	3	{n=1}
-132327	灭虫剂	65536	146752	3	{n=0}
-132328	声学	74467	22768	2	{n=0}
-132329	火车头	65536	200149	3	{n=1, nz=0}
-132330	内行	65619	20869	2	{a=2, n=4}
-132331	灭门之	101236	150717	1	null
-132332	灭门之祸	65536	132331	3	{i=0}
-132333	惨然	65536	24808	3	{z=0}
-132334	火腿肠	65536	196590	3	{n=2}
-132335	灭音器	65536	151240	3	{n=0}
-132336	灭顶之	103541	151371	1	null
-132337	抢劫	86086	25250	2	{v=10, vn=4}
-132338	拿架	92891	25343	1	null
-132339	灭顶之灾	65536	132336	3	{i=1}
-132340	灯光师	65536	170876	3	{n=1}
-132341	旁及	65536	26049	3	{v=0}
-132342	灯塔市	65536	172679	3	{ns=0}
-132343	灯火辉	103341	178846	1	null
-132344	灯心绒	65536	174582	3	{n=0}
-132345	灯火辉煌	65536	132343	3	{i=6}
-132346	圣子	65536	22307	3	{n=2}
-132347	架桥	65536	26550	3	{v=3, vn=0}
-132348	灯笼椒	65536	181615	3	{n=0}
-132349	灯红酒	99839	182485	1	null
-132350	灯红酒绿	65536	132349	3	{i=1}
-132351	并入	65536	24182	3	{v=4}
-132352	灯芯绒	65536	183522	3	{n=0}
-132353	内衣	65537	20869	2	{n=0}
-132354	星移斗转	65536	121073	3	{i=0}
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-132356	灰不及	110907	168435	1	null
-132357	灰不及及	65536	132356	3	{z=0}
-132358	攻占	65536	25915	3	{v=2}
-132359	澄浆	104151	28548	1	null
-132360	灰不溜秋	65536	139222	3	{z=0}
-132361	出租	68004	20986	2	{n=0, v=9, vn=0}
-132362	灰化土	65536	169724	3	{n=0}
-132363	灭火剂	65536	141120	3	{n=2}
-132364	灰口铁	65536	169929	3	{n=0}
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-132366	掩蔽	96821	25513	2	{n=0, vn=0}
-132367	灰塌塌	65536	171058	3	{z=0}
-132368	名产	65536	21517	3	{n=0}
-132369	台湾	65607	21488	2	{ns=316}
-132370	拍手	94432	25293	2	{v=1}
-132371	灰姑娘	65536	171447	3	{n=2}
-132372	废塑	83868	24223	1	null
-132373	曾祖	94351	26366	2	{n=1}
-132374	灰尘肺	65536	172030	3	{n=0}
-132375	掌法	65536	25484	3	{n=0}
-132376	椰油	65536	26928	3	{n=0}
-132377	概念	104097	27010	2	{n=40}
-132378	拍打	65536	25293	3	{v=1}
-132379	游乐区	65536	172648	3	{n=1}
-132380	比肩而邻	65536	126751	3	{i=0}
-132381	灰山鹑	65536	172119	3	{n=2}
-132382	檀香皂	65536	138630	3	{n=0}
-132383	复业	65536	22797	3	{v=0}
-132384	动魄	65548	21160	1	null
-132385	灰心丧	104721	172969	1	null
-132386	发廊	65536	21457	3	{n=2}
-132387	名人	65536	21517	3	{n=38}
-132388	周而	71426	21608	1	null
-132389	灰心丧气	65536	132385	3	{i=0}
-132390	灰扑扑	65536	173623	3	{z=0}
-132391	灰指甲	65536	173805	3	{n=0}
-132392	歉疚	65536	27465	3	{a=0}
-132393	可敬	65536	21487	3	{a=0}
-132394	武术赛	65536	177400	3	{n=2}
-132395	斜坡	65536	26012	3	{n=0}
-132396	前线	65536	21069	3	{nz=8, s=28}
-132397	南特	65536	21335	3	{ns=0}
-132398	朗讯	65536	26391	3	{nz=9}
-132399	李时	93760	26446	1	null
-132400	坐标	65799	22352	2	{n=6}
-132401	延髓	65536	24310	3	{n=0}
-132402	滚瓜烂	102382	154460	1	null
-132403	圣安	77085	22307	1	null
-132404	灰朦朦	65536	174860	3	{z=0}
-132405	灰沉沉	65536	176239	3	{z=0}
-132406	灰渌渌	65536	176626	3	{z=0}
-132407	灰溜溜	65536	176770	3	{z=1}
-132408	灰白色	65536	178787	3	{n=0}
-132409	后唐	65536	21518	3	{t=0}
-132410	挫败	65536	25387	3	{v=0}
-132411	灰碌碌	65536	179314	3	{z=0}
-132412	名仓	65536	21517	3	{nr=0}
-132413	灰糊糊	65536	180400	3	{z=0}
-132414	灰苍苍	65536	181939	3	{z=0}
-132415	灰茫茫	65536	182033	3	{z=0}
-132416	字模	65536	23383	3	{n=0}
-132417	泗水	107291	27863	1	null
-132418	灰蒙蒙	65536	182399	3	{z=0}
-132419	灰蓬蓬	65536	182482	3	{z=0}
-132420	古木	65536	21476	3	{n=0}
-132421	灰质炎	65536	184590	3	{n=0}
-132422	灰铸铁	65536	186590	3	{n=0}
-132423	吊袜	69208	21514	1	null
-132424	奇山	76770	22855	1	null
-132425	底座	65536	24213	3	{n=5}
-132426	民主德	104720	173410	1	null
-132427	梆硬	65536	26758	3	{z=0}
-132428	灰锰氧	65536	186646	3	{n=0}
-132429	灰霉病	65536	187119	3	{n=0}
-132430	灰飞烟	103650	187588	1	null
-132431	灰飞烟灭	65536	132430	3	{i=1}
-132432	古朴	65536	21476	3	{a=4, an=1}
-132433	灰黄霉	100404	189098	1	null
-132434	收费量	65536	177247	3	{n=1}
-132435	夜战	65536	22812	3	{v=0, vn=0}
-132436	灰黄霉素	65536	132433	3	{n=0}
-132437	灰鼠皮	65536	189190	3	{n=0}
-132438	摸透	65536	25720	3	{v=1}
-132439	旁听	95556	26049	2	{v=0, vn=0}
-132440	潸然	104118	28536	1	null
-132441	灵丘县	65536	170250	3	{ns=0}
-132442	染坊	65536	26579	3	{n=0}
-132443	流行歌	103237	187175	1	null
-132444	欠安	65536	27424	3	{v=0}
-132445	测绘局	65536	145683	3	{n=2}
-132446	取静	65552	21462	1	null
-132447	文学系	65536	170166	3	{n=1}
-132448	灵丹妙	98805	170283	1	null
-132449	商报	65536	21830	3	{n=1}
-132450	废墟	65536	24223	3	{n=9}
-132451	晓示	65536	26195	3	{v=0}
-132452	灵丹妙药	65536	132448	3	{i=1}
-132453	复习	65577	22797	2	{v=0, vn=2}
-132454	灵寿县	65536	173809	3	{ns=6}
-132455	发式	65536	21457	3	{n=0}
-132456	尾鳍	65536	23614	3	{n=0}
-132457	灵岩涧	65536	173979	3	{ns=0}
-132458	灵川县	65536	174287	3	{ns=1}
-132459	济州	105989	27982	2	{ns=0}
-132460	潜水器	65536	152871	3	{n=0}
-132461	前缀	65536	21069	3	{n=0}
-132462	柱石	65536	26609	3	{n=1}
-132463	口盖	65536	21475	3	{n=0}
-132464	吊装	65536	21514	3	{v=0, vn=1}
-132465	灵敏度	65536	176193	3	{n=3}
-132466	灵机一	111307	176684	1	null
-132467	灵机一动	65536	132466	3	{i=1}
-132468	朗诵	102391	26391	2	{v=0, vn=0}
-132469	灵武市	65536	177752	3	{ns=0}
-132470	灭亡	65536	28781	3	{v=6}
-132471	楚汉	105261	26970	1	null
-132472	富润	65536	23500	3	{nz=7}
-132473	灵活性	65536	178221	3	{n=9}
-132474	朗读	65536	26391	3	{v=1}
-132475	灵石县	65536	180965	3	{ns=3}
-132476	攻取	65536	25915	3	{v=1}
-132477	灵长目	65536	188529	3	{n=0}
-132478	灵隐寺	65536	188802	3	{ns=2}
-132479	灶王爷	65536	141308	3	{n=1}
-132480	原班	71192	21407	1	null
-132481	名优	65536	21517	3	{a=3, j=9, n=1}
-132482	内裤	65536	20869	3	{n=1}
-132483	灼圃乡	65536	134535	3	{ns=0}
-132484	灾害性	65536	135891	3	{n=3}
-132485	前缘	65536	21069	3	{n=0}
-132486	灿烂夺	102042	132497	1	null
-132487	机务连	65536	167418	3	{n=0}
-132488	灿烂夺目	65536	132486	3	{l=0}
-132489	消毒学	65536	180397	3	{n=2}
-132490	灿若云霞	65536	132491	3	{i=0}
-132491	灿若云	93804	137140	1	null
-132492	时间词	65536	179969	3	{n=0}
-132493	滩头	65536	28393	3	{n=0}
-132494	灿若星河	65536	138521	3	{l=2}
-132495	捐资	65536	25424	3	{n=0, v=5, vn=1}
-132496	灿若群星	65536	145054	3	{l=2}
-132497	灿烂	109644	28799	2	{a=28, an=1}
-132498	炉前工	65536	136714	3	{n=0}
-132499	潘帕	105869	28504	1	null
-132500	拍拍	65536	25293	3	{v=2}
-132501	炉火纯	93765	144424	1	null
-132502	愚钝	65536	24858	3	{a=1, an=1}
-132503	炉火纯青	65536	132501	3	{i=0}
-132504	炊烟袅	97559	141316	1	null
-132505	原理	65536	21407	3	{n=25}
-132506	古松	65536	21476	3	{n=0}
-132507	古板	66220	21476	2	{a=0}
-132508	炊烟袅袅	65536	132504	3	{l=3}
-132509	揭晓	65536	25581	3	{v=28, vn=4}
-132510	炎陵县	65536	150094	3	{ns=1}
-132511	撒刁	65536	25746	3	{v=0}
-132512	掩藏	65536	25513	3	{v=1}
-132513	炊事员	65536	132528	3	{n=1}
-132514	炎凉	65536	28814	3	{n=0}
-132515	炎黄子	109131	152221	1	null
-132516	炎黄子孙	65536	132515	3	{n=8}
-132517	撒切	94087	25746	1	null
-132518	抢占	65536	25250	3	{v=12}
-132519	炒买炒	111191	137124	1	null
-132520	灼伤	65536	28796	3	{v=0}
-132521	复交	65536	22797	3	{v=5, vn=5}
-132522	火箭弹	65536	195100	3	{n=0}
-132523	捐赠	65536	25424	3	{v=46, vn=13}
-132524	楷模	65536	26999	3	{n=8}
-132525	炒买炒卖	65536	132519	3	{l=0}
-132526	炒冷饭	65536	137963	3	{l=0}
-132527	炒腰花	65536	150180	3	{n=0}
-132528	炊事	110921	28810	2	{n=1}
-132529	并列	87998	24182	2	{v=7, vd=0, vn=1}
-132530	止咳	65536	27490	3	{vn=1}
-132531	怀孕	85964	24576	2	{v=0, vn=0}
-132532	炒菜锅	65536	150800	3	{n=0}
-132533	炒鱿鱼	65536	157107	3	{l=0, v=0}
-132534	名位	65536	21517	3	{n=0}
-132535	炔诺	95308	28820	1	null
-132536	户籍	92051	25143	2	{n=2}
-132537	有线电视	65536	128313	3	{n=10}
-132538	炔诺酮	65536	132535	3	{n=2}
-132539	炙手	111054	28825	1	null
-132540	手工钱	65536	162023	3	{n=0}
-132541	炙手可	103637	132539	1	null
-132542	封山	73630	23553	2	{v=0}
-132543	喜洋	67315	21916	1	null
-132544	比较文	103367	182481	1	null
-132545	尖草	84885	23574	1	null
-132546	炙手可热	65536	132541	3	{i=2}
-132547	森尼	92668	26862	1	null
-132548	炭精棒	65536	143568	3	{n=0}
-132549	名作	65536	21517	3	{n=1}
-132550	澄清	65536	28548	3	{nr=0, v=4, vn=0}
-132551	奇峰	65536	22855	3	{n=1}
-132552	核威胁	65536	169493	3	{n=0}
-132553	文艺界	65536	180170	3	{n=5}
-132554	梦幻泡	100553	130676	1	null
-132555	炫目	65536	28843	3	{a=1, an=1}
-132556	复仇	65536	22797	3	{v=0, vn=0}
-132557	斑竹	65536	26001	3	{n=0}
-132558	川马	65536	24029	3	{n=0}
-132559	炮台镇	65536	149808	3	{ns=0}
-132560	炮筒子	65536	159890	3	{n=0}
-132561	千钧	69578	21315	1	null
-132562	炮兵师	65536	149173	3	{n=3}
-132563	炮舰外	112436	161648	1	null
-132564	回嗔	75796	22238	1	null
-132565	彩云	65536	24425	3	{n=1}
-132566	担架队	65536	126002	3	{n=0}
-132567	月光花	65536	160250	3	{n=0}
-132568	炮舰外交	65536	132563	3	{l=0}
-132569	最低	101754	26368	2	{a=73}
-132570	方位角	65536	161165	3	{n=0}
-132571	前置	65645	21069	1	null
-132572	炯炯	106196	28847	2	{z=0}
-132573	炯炯有	101506	132572	1	null
-132574	掉落	65536	25481	3	{v=1}
-132575	泡桐	102125	27873	2	{n=0}
-132576	炯炯有神	65536	132573	3	{i=0}
-132577	智取	65536	26234	3	{v=1}
-132578	正气歌	65536	182038	3	{n=1}
-132579	左岸	65536	24038	3	{s=2}
-132580	挑战赛	65536	136825	3	{n=1, vn=0}
-132581	炸药包	65536	146954	3	{n=0}
-132582	浪人	65536	28010	3	{n=0}
-132583	炸虾球	65536	147737	3	{n=0}
-132584	灶具	65536	28790	3	{n=1}
-132585	炸酱面	65536	150540	3	{n=0}
-132586	点击数	65536	165363	3	{n=1}
-132587	古柏	65536	21476	3	{n=0}
-132588	可是	65536	21487	3	{c=49, d=11, v=1}
-132589	点到为	105100	165416	1	null
-132590	点到为止	65536	132589	3	{i=0}
-132591	柴火	65536	26612	3	{n=0}
-132592	宣言	65536	23459	3	{n=18}
-132593	点名册	65536	165893	3	{n=0}
-132594	奇崛	65536	22855	3	{a=0}
-132595	挡路	65536	25377	3	{v=1}
-132596	点头之	112465	167212	1	null
-132597	点头之交	65536	132596	3	{l=0}
-132598	点头哈腰	65536	134257	3	{l=0}
-132599	点播器	65536	170149	3	{n=0}
-132600	森山	65536	26862	3	{nr=0}
-132601	点火器	65536	173155	3	{n=0}
-132602	点点滴滴	65536	138171	3	{d=0, l=1, m=1, n=0}
-132603	点点头	65536	173233	3	{v=2}
-132604	意图	65536	24847	3	{n=11, v=0}
-132605	听风	67935	21548	1	null
-132606	最佳	65536	26368	3	{z=49}
-132607	哈马	68634	21704	1	null
-132608	点焊机	65536	173314	3	{n=0}
-132609	点电荷	65536	174381	3	{n=0}
-132610	四增	73572	22235	1	null
-132611	浑然天	104654	152325	1	null
-132612	样书	65536	26679	3	{n=0}
-132613	灿然	65536	28799	3	{z=1}
-132614	点眼药	65536	174900	3	{v=0}
-132615	点石成	95287	175083	1	null
-132616	点石成金	65536	132615	3	{i=1}
-132617	株系	65536	26666	3	{n=1}
-132618	张大	65536	24352	3	{v=0}
-132619	古柯	65536	21476	3	{n=0}
-132620	后嗣	65536	21518	3	{n=0}
-132621	点金成铁	65536	132622	3	{i=0}
-132622	点金成	94540	181705	1	null
-132623	点铁成	95295	182457	1	null
-132624	点铁成金	65536	132623	3	{i=0}
-132625	棕树	65536	26837	3	{n=0}
-132626	点面结	111117	183130	1	null
-132627	毁家	94114	27585	1	null
-132628	泽州	107696	27901	2	{ns=11}
-132629	点面结合	65536	132626	3	{l=0}
-132630	毁容	65536	27585	3	{v=0, vn=0}
-132631	炼丹术	65536	135300	3	{n=0}
-132632	污垢	65536	27745	3	{n=2}
-132633	炼油厂	65536	143108	3	{n=2}
-132634	炼焦炉	65536	144241	3	{n=0}
-132635	圣山	65536	22307	3	{ns=0}
-132636	无可置	89821	173366	1	null
-132637	炼石补	109815	145982	1	null
-132638	斜塔	65536	26012	3	{n=9}
-132639	复会	65536	22797	3	{v=1}
-132640	炼石补天	65536	132637	3	{i=0}
-132641	悲壮	65536	24754	3	{a=7, ad=0, an=0}
-132642	森岛	65536	26862	3	{nr=0}
-132643	活塞环	65536	175005	3	{n=0}
-132644	橡皮	107156	27233	2	{n=0}
-132645	四壁	65536	22235	3	{n=5}
-132646	意在	78308	24847	2	{v=0}
-132647	橡胶草	65536	135276	3	{n=0}
-132648	毫不	105855	27627	2	{d=20}
-132649	炼金术	65536	152604	3	{n=0}
-132650	椭球	65536	26925	3	{n=0}
-132651	炼钢炉	65536	153325	3	{n=2}
-132652	烂乎乎	65536	132826	3	{z=0}
-132653	杀人犯	65536	142378	3	{n=0}
-132654	坐椅	65536	22352	3	{n=2}
-132655	烂摊子	65536	138454	3	{n=0}
-132656	潇潇	65536	28487	3	{z=0}
-132657	烂肠瘟	65536	145708	3	{n=0}
-132658	烂舌头	65536	146072	3	{l=0}
-132659	抬轿	92254	25260	1	null
-132660	回嘴	65536	22238	3	{v=0}
-132661	并力	65536	24182	3	{d=0}
-132662	烂醉如	104787	150037	1	null
-132663	公车	65536	20844	3	{n=3}
-132664	烂醉如泥	65536	132662	3	{i=0}
-132665	炽烈	65536	28861	3	{a=0}
-132666	托子	65536	25176	3	{n=0}
-132667	烈军属	65536	137392	3	{n=4}
-132668	烈士陵园	65536	148513	3	{n=2}
-132669	公转	65536	20844	3	{v=1}
-132670	增殖	69446	22686	2	{v=0, vn=1}
-132671	烈士墓	65536	139264	3	{n=0}
-132672	杀人狂	65536	142378	3	{n=0}
-132673	烈性酒	65536	141116	3	{n=0}
-132674	烈日当	101321	142586	1	null
-132675	烈日当空	65536	132674	3	{l=1}
-132676	潘家园	65536	131892	3	{ns=0}
-132677	幼驹	65536	24188	3	{n=0}
-132678	烈火真金	96899	132680	1	null
-132679	受粉	65536	21463	3	{v=0}
-132680	烈火真	95349	145280	1	null
-132681	烈火真金识	99161	132678	1	null
-132682	烈火真金识英	94087	132681	1	null
-132683	烈火真金识英雄	65536	132682	3	{i=0}
-132684	烈火金钢	65536	139514	3	{nz=1}
-132685	塔钟	65536	22612	3	{n=0}
-132686	千锤	65575	21315	1	null
-132687	烘丝机	65536	139096	3	{n=0}
-132688	烘云托	106320	139212	1	null
-132689	浇头	65536	27975	3	{n=0}
-132690	复位	65536	22797	3	{v=0, vn=0}
-132691	拍掌	65536	25293	3	{v=0}
-132692	四声	65536	22235	3	{n=0}
-132693	古根	65547	21476	1	null
-132694	显影纸	65536	135332	3	{n=0}
-132695	忧闷	65536	24551	3	{n=0}
-132696	烘云托月	65536	132688	3	{i=1}
-132697	歪曲	65536	27498	3	{v=1, vn=0}
-132698	烘干器	65536	143277	3	{n=0}
-132699	拆字	65536	25286	3	{v=0}
-132700	悲天	88499	24754	1	null
-132701	同学	69075	21516	2	{n=52, v=1}
-132702	炽热	65536	28861	3	{a=3}
-132703	暖和	65536	26262	3	{a=4, v=0}
-132704	撞见	65536	25758	3	{v=0}
-132705	烙印	65536	28889	3	{n=2}
-132706	富源	84721	23500	2	{n=0}
-132707	溪口	93110	28330	2	{ns=0}
-132708	内视	66286	20869	1	null
-132709	烙铁头	65536	149426	3	{n=0}
-132710	出笼	65536	20986	3	{v=1, vn=0}
-132711	撕裂	65536	25749	3	{v=2, vn=0}
-132712	四处	72944	22235	2	{d=8}
-132713	拼版	65536	25340	3	{v=0}
-132714	发怒	65536	21457	3	{v=0}
-132715	烛光	65536	28891	3	{n=5}
-132716	楞次	101884	26974	1	null
-132717	惨状	65536	24808	3	{n=1}
-132718	烟云过	102195	174797	1	null
-132719	烟云过眼	65536	132718	3	{l=0}
-132720	内角	65536	20869	3	{n=0}
-132721	悬心	91690	24748	1	null
-132722	前者	65536	21069	3	{r=13}
-132723	烟台市	65536	176172	3	{ns=5}
-132724	氢氧根	65536	133766	3	{n=0}
-132725	烟墩乡	65536	177381	3	{ns=1}
-132726	烟夜蛾	65536	177496	3	{n=0}
-132727	烟幕弹	65536	178833	3	{n=0}
-132728	烟斗丝	65536	180691	3	{n=0}
-132729	洒满	65536	27922	3	{v=1}
-132730	烟波浩	104575	182558	1	null
-132731	烟波浩淼	65536	132730	3	{i=0}
-132732	受精	71207	21463	2	{v=0, vn=0}
-132733	发急	65536	21457	3	{v=0}
-132734	找茬	65536	25214	3	{v=0}
-132735	烟消云	106781	182724	1	null
-132736	烟消云散	65536	132735	3	{i=0}
-132737	古桥	65536	21476	3	{nr=0, nz=0}
-132738	字正	70260	23383	1	null
-132739	宣誓	65536	23459	3	{v=7, vn=3}
-132740	江米酒	65536	177352	3	{n=0}
-132741	合数	65536	21512	3	{n=0}
-132742	师大	65536	24072	3	{j=0, n=0}
-132743	烟火食	65536	183463	3	{n=0}
-132744	烟灰缸	65536	183468	3	{n=0}
-132745	宽畅	65536	23485	3	{a=0}
-132746	烟熏火	103614	183755	1	null
-132747	四大	74367	22235	2	{j=0}
-132748	烟熏火燎	65536	132746	3	{l=0}
-132749	怒潮	65536	24594	3	{n=0}
-132750	同宗	65536	21516	3	{v=0}
-132751	烟腾腾	65536	187834	3	{z=0}
-132752	烟花弹	65536	188141	3	{n=1}
-132753	搬走	65536	25644	3	{v=1}
-132754	烟草业	65536	188293	3	{n=2}
-132755	烟袋锅	65536	189639	3	{n=0}
-132756	南珠	65536	21335	3	{n=0}
-132757	各种	71584	21508	2	{r=316}
-132758	烟退云	106813	191548	1	null
-132759	吃素	65536	21507	3	{v=0}
-132760	烟退云敛	65536	132758	3	{i=1}
-132761	各科	65536	21508	3	{r=4}
-132762	捷达	65536	25463	3	{nz=0}
-132763	同室	67677	21516	1	null
-132764	烟雾弥	104308	193338	1	null
-132765	批条	65536	25209	3	{n=1}
-132766	吃紧	65536	21507	3	{a=2}
-132767	烟雾弥漫	65536	132764	3	{l=1}
-132768	烤红薯	65536	137438	3	{n=3}
-132769	烤羊肉	112752	137670	1	null
-132770	烤羊肉串	65536	132769	3	{n=0}
-132771	悬念	65536	24748	3	{n=1, v=1, vn=0}
-132772	河南梆	105004	163932	1	null
-132773	烤鸭店	65536	145513	3	{n=0}
-132774	烦琐哲	109378	144740	1	null
-132775	澳元	65536	28595	3	{n=0, q=3}
-132776	烦琐哲学	65536	132774	3	{l=0}
-132777	烧夷弹	65536	168945	3	{n=0}
-132778	烩虾	112618	28905	1	null
-132779	烩虾仁	65536	132778	3	{n=0}
-132780	烫洗店	65536	140452	3	{n=0}
-132781	烫金机	65536	149854	3	{n=0}
-132782	梁沟	98493	26753	2	{ns=0}
-132783	潍坊	107822	28493	2	{ns=1}
-132784	军衔	66871	20891	2	{n=1}
-132785	烫伤	65536	28907	3	{v=1}
-132786	原生	70205	21407	2	{b=0}
-132787	热中子	65536	182074	3	{n=0}
-132788	热乎乎	65536	182107	3	{z=3}
-132789	挑剔	65536	25361	3	{a=2, v=5, vn=0}
-132790	热交换	65536	182193	3	{v=0}
-132791	热农大	65536	182953	3	{j=4}
-132792	热力学	65536	183208	3	{n=0}
-132793	烟波浩渺	65536	132730	3	{i=0}
-132794	救亡运	97095	140318	1	null
-132795	热功当	95469	183212	1	null
-132796	热功当量	65536	132795	3	{l=0}
-132797	桐油	98155	26704	2	{n=3}
-132798	奇巧	65536	22855	3	{a=1}
-132799	军衣	65536	20891	3	{n=2}
-132800	热加工	65536	183213	3	{n=0}
-132801	热压釜	65536	183448	3	{n=0}
-132802	料石	65536	26009	3	{n=0}
-132803	原田	65536	21407	3	{nr=0}
-132804	原由	65536	21407	3	{n=1}
-132805	康涅	80587	24247	1	null
-132806	可有	71352	21487	1	null
-132807	热呼呼	65536	183689	3	{z=2}
-132808	止血药	65536	145727	3	{n=0}
-132809	热哄哄	65536	183761	3	{z=0}
-132810	热固性	65536	184327	3	{n=0}
-132811	效率	65536	25928	3	{n=62}
-132812	热塑性	65536	184670	3	{n=0}
-132813	热处理	65536	184849	3	{v=0, vn=0}
-132814	热带雨	106296	186163	1	null
-132815	热带雨林	65536	132814	3	{n=2}
-132816	热得快	65536	186532	3	{n=0}
-132817	挺起	65536	25402	3	{v=1}
-132818	热心人	65536	186576	3	{n=4}
-132819	滚动摩	105615	145704	1	null
-132820	字段	81857	23383	2	{n=0}
-132821	挽词	65536	25405	3	{n=0}
-132822	热情洋	104510	186834	1	null
-132823	在读	65536	22312	3	{b=1, vn=0}
-132824	可望	65767	21487	2	{v=16}
-132825	授勋	65536	25480	3	{v=1, vn=0}
-132826	烂乎	112606	28866	1	null
-132827	洛克比	65536	133053	3	{ns=1}
-132828	松江省	65536	171889	3	{ns=0}
-132829	水利枢	94935	181989	1	null
-132830	木头疙	92620	170314	1	null
-132831	挽诗	65536	25405	3	{n=0}
-132832	热情洋溢	65536	132822	3	{l=4}
-132833	热效应	65536	187989	3	{n=0}
-132834	反攻	71916	21453	2	{v=1, vn=0}
-132835	海阔天	98752	201738	1	null
-132836	捞资	90234	25438	1	null
-132837	热敏电阻	65536	138231	3	{l=0}
-132838	复信	65536	22797	3	{n=0, v=0, vn=0}
-132839	华辞	65536	21326	3	{n=2}
-132840	扶善	84916	25206	1	null
-132841	热敏性	65536	187996	3	{n=0}
-132842	混合式	65536	141444	3	{b=0}
-132843	服丧	65536	26381	3	{v=0}
-132844	字母	68455	23383	2	{n=2}
-132845	受累	65536	21463	3	{v=1}
-132846	热核反	108635	188741	1	null
-132847	热核反应	65536	132846	3	{l=0}
-132848	吉首	69226	21513	2	{ns=4}
-132849	热核武器	65536	138887	3	{l=0}
-132850	热毛子	93319	189672	1	null
-132851	热毛子马	65536	132850	3	{l=0}
-132852	昏天	80321	26127	1	null
-132853	沛新	65536	27803	3	{nr=0}
-132854	热气腾腾	65536	136306	3	{i=5}
-132855	热气球	65536	189729	3	{n=6}
-132856	热汤面	65536	189809	3	{n=1}
-132857	热水器	65536	189761	3	{n=18}
-132858	捐躯	65536	25424	3	{v=1}
-132859	婚配	65536	23130	3	{vn=1}
-132860	梗直	65536	26775	3	{a=0}
-132861	回国	65536	22238	3	{v=32, vn=3}
-132862	托尔	88877	25176	1	null
-132863	昏头	94856	26127	1	null
-132864	热泪夺	102349	189943	1	null
-132865	汽油机	65536	140971	3	{n=0}
-132866	台灯	65536	21488	3	{n=0}
-132867	热泪夺眶	65536	132864	3	{l=0}
-132868	热泪盈眶	65536	140430	3	{l=3}
-132869	拆封	65536	25286	3	{v=0}
-132870	暮秋	65536	26286	3	{t=2}
-132871	华达	68980	21326	1	null
-132872	淮安	106359	28142	2	{ns=7}
-132873	挑动	65536	25361	3	{v=1, vn=0}
-132874	热滚滚	65536	190439	3	{z=0}
-132875	拍摄	65536	25293	3	{v=39, vn=10}
-132876	必读	65536	24517	3	{v=2, vn=0}
-132877	机车组	65536	182975	3	{n=0}
-132878	泉林	65536	27849	3	{ns=5}
-132879	前肢	65536	21069	3	{n=0}
-132880	热火朝	110057	190840	1	null
-132881	涎皮	93998	28046	1	null
-132882	热火朝天	65536	132880	3	{i=6}
-132883	权且	65536	26435	3	{d=0}
-132884	枢要	65536	26530	3	{n=0}
-132885	浏阳	105648	27983	2	{ns=0}
-132886	后园	65536	21518	3	{n=2}
-132887	热烘烘	65536	190949	3	{z=0}
-132888	师妹	65536	24072	3	{n=0}
-132889	渴望	65536	28212	3	{v=17, vd=0, vn=2}
-132890	潞安	65536	28510	3	{nz=0}
-132891	欢声雷	104593	152815	1	null
-132892	守法	80138	23432	2	{v=6, vd=0, vn=0}
-132893	发情	66083	21457	2	{v=1, vn=1}
-132894	子囊	65536	23376	3	{n=0}
-132895	热热闹	94503	190970	1	null
-132896	热热闹闹	65536	132895	3	{z=6}
-132897	军装	65536	20891	3	{n=12}
-132898	据说	65536	25454	3	{v=27}
-132899	热电效应	65536	138444	3	{l=0}
-132900	公道	65536	20844	3	{a=1, an=2}
-132901	华远	65536	21326	3	{nz=4}
-132902	托尼	65536	25176	3	{n=1, nr=0}
-132903	涿州	106243	28095	2	{ns=1}
-132904	炭化	65536	28845	3	{v=0}
-132905	热科院	65536	193246	3	{j=4}
-132906	口碑	65557	21475	2	{n=0}
-132907	热肠人	65536	194989	3	{n=0}
-132908	热胀冷	100356	195021	1	null
-132909	热胀冷缩	65536	132908	3	{l=0}
-132910	反文	66367	21453	1	null
-132911	师姐	65536	24072	3	{n=0}
-132912	师姑	65536	24072	3	{n=0}
-132913	热腾腾	65536	195211	3	{z=4}
-132914	热膨胀	65536	195253	3	{n=0}
-132915	热身赛	65536	198584	3	{l=1, n=2}
-132916	热转印	65536	198777	3	{l=1}
-132917	热辐射	65536	198813	3	{n=0}
-132918	扫荡	65536	25195	3	{v=6, vn=2}
-132919	热辣辣	65536	198832	3	{z=0}
-132920	漆包	99260	28422	1	null
-132921	热那亚	65536	199088	3	{ns=0}
-132922	热量计	65536	199388	3	{n=0}
-132923	热销货	65536	200205	3	{n=0}
-132924	同居	65536	21516	3	{v=0, vn=0}
-132925	热门货	65536	200437	3	{n=0}
-132926	滋味	65536	28363	3	{n=10}
-132927	成交额	65536	155894	3	{n=6}
-132928	热闹非	111970	200454	1	null
-132929	晴纶	65536	26228	3	{n=0}
-132930	同屋	65536	21516	3	{n=0}
-132931	热闹非凡	65536	132928	3	{l=6}
-132932	愚陋	65536	24858	3	{a=0}
-132933	热风炉	65536	201179	3	{n=1}
-132934	烹制	65536	28921	3	{v=0}
-132935	烹调法	65536	147731	3	{n=0}
-132936	烹饪法	65536	151162	3	{n=0}
-132937	澄澈	65536	28548	3	{z=2}
-132938	烷基	65536	28919	3	{n=0}
-132939	梁洼	86729	26753	1	null
-132940	扇骨	91057	25159	1	null
-132941	烽火	111461	28925	2	{n=5}
-132942	带菌	76151	24102	1	null
-132943	单片	65922	21333	1	null
-132944	孤老	78380	23396	2	{n=3}
-132945	智商	65536	26234	3	{n=5}
-132946	奇幻	65536	22855	3	{a=0}
-132947	漆匠	65536	28422	3	{n=0}
-132948	烽火连天	65536	148291	3	{i=0}
-132949	烽火台	65536	132941	3	{n=1}
-132950	焕发	65536	28949	3	{v=5}
-132951	焕然一	106920	140475	1	null
-132952	焕然一新	65536	132951	3	{i=7}
-132953	发愁	65536	21457	3	{a=0, v=7}
-132954	津巴	105282	27941	1	null
-132955	焖牛	100051	28950	1	null
-132956	焖牛肉	65536	132955	3	{n=0}
-132957	恩格	86936	24681	1	null
-132958	焚书坑	112205	133144	1	null
-132959	焚书坑儒	65536	132958	3	{i=0}
-132960	反方	65536	21453	3	{n=1}
-132961	焚化炉	65536	134344	3	{n=0}
-132962	巧言	88132	24039	1	null
-132963	华通	65536	21326	3	{nz=1}
-132964	森川	65536	26862	3	{nr=0}
-132965	前胸	65536	21069	1	null
-132966	字汇	65536	23383	3	{n=0}
-132967	底情	65536	24213	3	{n=0}
-132968	津市	65536	27941	3	{n=0}
-132969	焚烧炉	65536	141977	3	{n=0}
-132970	无限花	96146	190359	1	null
-132971	并发	79326	24182	2	{v=1}
-132972	森工	65536	26862	3	{j=5}
-132973	焚膏继	106746	146241	1	null
-132974	涅而	110146	28037	1	null
-132975	授卡	65536	25480	3	{vn=1}
-132976	排球队	65536	161975	3	{n=0}
-132977	焚膏继晷	65536	132973	3	{i=0}
-132978	焦头烂	93912	161838	1	null
-132979	头人	65536	22836	3	{n=0}
-132980	焦作人	65536	159318	3	{n=1}
-132981	焦头烂额	65536	132978	3	{i=1}
-132982	焙制	65536	28953	3	{v=0}
-132983	师娘	65536	24072	3	{n=0}
-132984	同岁	65536	21516	3	{v=0}
-132985	后坐	72747	21518	2	{n=0}
-132986	橡皮擦	65536	132644	3	{n=0}
-132987	发愣	65536	21457	3	{v=0}
-132988	发愤	70213	21457	2	{v=0, vd=0}
-132989	援藏	65536	25588	3	{v=0}
-132990	前脑	65536	21069	3	{n=0}
-132991	喜滋	66899	21916	1	null
-132992	焦灼灼	65536	167798	3	{z=0}
-132993	意境	65536	24847	3	{n=9}
-132994	焦糊糊	65536	170948	3	{z=0}
-132995	焦虑不	109565	173387	1	null
-132996	沟槽	65536	27807	3	{n=0}
-132997	无名肿	92329	173396	1	null
-132998	焦虑不安	65536	132995	3	{i=1}
-132999	前脚	65536	21069	3	{n=0}
-133000	棕榈	97307	26837	2	{n=0}
-133001	成本额	65536	162174	3	{n=0}
-133002	怒火	92437	24594	2	{n=1}
-133003	焦辣辣	65536	175773	3	{z=0}
-133004	拖垮	65536	25302	3	{v=1}
-133005	煅烧炉	65536	133016	3	{n=0}
-133006	基民	67240	22522	1	null
-133007	植物油	65536	134142	3	{n=2}
-133008	南瓜	67599	21335	2	{n=1}
-133009	放气门	65536	168220	3	{n=0}
-133010	服从	65536	26381	3	{j=0, v=20, vn=0}
-133011	焰口	65536	28976	3	{n=0}
-133012	煅石灰	65536	134820	3	{n=0}
-133013	煊赫	65536	29002	3	{a=0}
-133014	然则	65536	28982	3	{c=0}
-133015	棉织物	65536	158403	3	{n=0}
-133016	煅烧	104196	28997	2	{v=0}
-133017	煜煜	65536	29020	3	{z=0}
-133018	煞有介	112913	139111	1	null
-133019	煎熬	65536	29006	3	{v=1, vn=2}
-133020	煞有介事	65536	133018	3	{l=0}
-133021	煞有其事	65536	133701	3	{l=0}
-133022	技监	65536	25216	3	{j=0}
-133023	才干	65536	25165	3	{n=2}
-133024	发慈	67734	21457	1	null
-133025	悬想	65536	24748	3	{v=0}
-133026	宣讲	65536	23459	3	{v=1, vn=0}
-133027	涎着	97103	28046	1	null
-133028	发慌	65536	21457	3	{v=0}
-133029	出类	65542	20986	1	null
-133030	淄川	65536	28100	3	{ns=2}
-133031	煞费心机	65536	133035	3	{l=0}
-133032	声带	65536	22768	3	{n=0}
-133033	放气阀	65536	168220	3	{n=0}
-133034	旦角	65536	26086	3	{n=0}
-133035	煞费心	106605	148887	1	null
-133036	煞费苦心	65536	142030	3	{i=0}
-133037	煞住	65536	29022	3	{v=0}
-133038	煞风景	65536	151852	3	{l=0}
-133039	煤化工	65536	173950	3	{j=0}
-133040	扳闸	65536	25203	3	{v=0}
-133041	火树银	98783	190080	1	null
-133042	榆次	101318	27014	2	{ns=4}
-133043	煤层气	65536	176298	3	{n=18}
-133044	煤成烃	65536	177784	3	{nz=0}
-133045	煤斗车	65536	178687	3	{n=0}
-133046	涡流	65536	28065	3	{n=1}
-133047	架次	65536	26550	3	{q=5}
-133048	并吞	65536	24182	3	{v=0}
-133049	煤渣路	65536	180875	3	{n=0}
-133050	形声	87606	24418	2	{n=0}
-133051	火力圈	65536	184586	3	{n=0}
-133052	弹冠	80248	24377	1	null
-133053	洛克	105223	27931	1	null
-133054	慢藏	78088	24930	1	null
-133055	少掌	80583	23569	1	null
-133056	煤油灯	65536	180513	3	{n=2}
-133057	烽烟	65536	28925	3	{n=1}
-133058	客户	72969	23458	2	{n=48}
-133059	捅马	82005	25413	1	null
-133060	沃尔沃	65536	130157	3	{nz=3}
-133061	煤炭厅	65536	181525	3	{n=1}
-133062	吉马	65579	21513	1	null
-133063	反映	65725	21453	2	{v=179, vn=19}
-133064	煤焦油	65536	181646	3	{n=0}
-133065	新闻点	65536	189751	3	{n=1}
-133066	客房	65536	23458	3	{n=6}
-133067	煤矸石	65536	183392	3	{n=1}
-133068	是的	65536	26159	3	{l=9}
-133069	照妖镜	65536	172702	3	{n=0}
-133070	回城	65536	22238	3	{v=1}
-133071	照射率	65536	173324	3	{n=0}
-133072	有线电话	65536	128313	3	{l=0}
-133073	双特	65656	21452	1	null
-133074	照排机	65536	175258	3	{n=0}
-133075	最先	65536	26368	3	{d=6}
-133076	出粪	66684	20986	1	null
-133077	方位词	65536	161165	3	{n=0}
-133078	反是	65536	21453	3	{c=0}
-133079	听骨	65536	21548	3	{n=0}
-133080	照明弹	65536	175894	3	{n=0}
-133081	奇异	65536	22855	3	{a=3, an=0}
-133082	煤油炉	65536	180513	3	{n=0}
-133083	照本宣	101903	176180	1	null
-133084	析疑	65536	26512	3	{v=0}
-133085	止回	87564	27490	1	null
-133086	扬剧	65536	25196	3	{n=0}
-133087	演奏员	65536	147935	3	{n=0}
-133088	照本宣科	65536	133083	3	{i=0}
-133089	名典	65536	21517	3	{n=2}
-133090	封底	65536	23553	3	{n=3}
-133091	照猫画	98710	179251	1	null
-133092	照猫画虎	65536	133091	3	{i=0}
-133093	授受	96786	25480	2	{b=0}
-133094	增派	65536	22686	3	{v=2}
-133095	照理讲	65536	179470	3	{l=0}
-133096	千难	69569	21315	1	null
-133097	敬业	65536	25964	3	{a=1, v=9, vn=5}
-133098	照葫芦	103091	183667	1	null
-133099	宣读	65536	23459	3	{v=9}
-133100	古槐	65536	21476	3	{n=0}
-133101	涂层	65536	28034	3	{n=0}
-133102	照葫芦画	103181	133098	1	null
-133103	照葫芦画瓢	65536	133102	3	{l=1, n=0}
-133104	帮贫	80960	24110	1	null
-133105	照镜子	65536	188004	3	{v=1}
-133106	煮豆燃	99322	141198	1	null
-133107	拾遗	81328	25342	2	{v=2, vn=0}
-133108	单独	65536	21333	3	{b=4, d=10}
-133109	名册	65536	21517	3	{n=3}
-133110	密实	65536	23494	3	{a=0}
-133111	照相仪	65536	180224	3	{n=1}
-133112	清明坊	65536	190248	3	{ns=0}
-133113	数量词	65536	163904	3	{n=0}
-133114	热电偶	65536	192066	3	{n=0}
-133115	煮豆燃萁	65536	133106	3	{i=0}
-133116	密室	65536	23494	3	{n=0}
-133117	昏昏迷	84141	136154	1	null
-133118	火山地	93552	187104	1	null
-133119	水烟筒	65536	189851	3	{n=0}
-133120	煮沸	65536	29038	3	{v=0}
-133121	煽动性	65536	133123	3	{n=0}
-133122	火头军	65536	186275	3	{n=0}
-133123	煽动	108506	29053	2	{v=1, vn=0}
-133124	文昌阁	65536	172892	3	{ns=0}
-133125	挺身	83779	25402	2	{v=0}
-133126	煽风点	104348	151081	1	null
-133127	煽风点火	65536	133126	3	{l=0}
-133128	熄灯号	65536	133188	3	{n=2}
-133129	熊岳镇	65536	136001	3	{ns=0}
-133130	捕风	91217	25429	1	null
-133131	文明礼	82821	172894	1	null
-133132	煤气灯	65536	180348	3	{n=0}
-133133	熊猫馆	65536	141753	3	{n=4}
-133134	熏火腿	65536	140925	3	{n=0}
-133135	发憷	65536	21457	3	{v=0}
-133136	概括	65536	27010	3	{a=0, ad=0, v=22, vd=1, vn=2}
-133137	拘谨	65536	25304	3	{a=0, an=0}
-133138	池水	65536	27744	3	{n=0}
-133139	煤气灶	65536	180348	3	{n=0}
-133140	意外	65536	24847	3	{a=13, ad=2, an=4, n=2}
-133141	海洋权	65536	191233	3	{n=0}
-133142	熔古铄	112978	135490	1	null
-133143	炫示	65536	28843	3	{v=0}
-133144	焚书	110605	28954	1	null
-133145	北票	66371	21271	2	{n=0}
-133146	熔化期	65536	135284	3	{t=0}
-133147	捕食	65536	25429	3	{v=2}
-133148	熔古铄今	65536	133142	3	{i=0}
-133149	熔解热	65536	149313	3	{n=0}
-133150	密密	86065	23494	1	null
-133151	熔铸工	65536	152150	3	{n=0}
-133152	军规	65536	20891	3	{n=0}
-133153	所部	65536	25152	3	{n=0}
-133154	熘肝	109581	29080	1	null
-133155	熘肝尖	65536	133154	3	{n=0}
-133156	熘鱼片	65536	140289	3	{n=0}
-133157	意大	92608	24847	1	null
-133158	煤气炉	65536	180348	3	{n=0}
-133159	幽暗	65536	24189	3	{a=1}
-133160	口福	65536	21475	3	{n=0}
-133161	熙和恬	94420	133183	1	null
-133162	发懒	65536	21457	3	{v=0}
-133163	后堂	65536	21518	3	{j=1, s=1}
-133164	商数	65536	21830	3	{n=0}
-133165	熙和恬静	65536	133161	3	{i=0}
-133166	熙来攘	108724	138008	1	null
-133167	前臂	65536	21069	3	{n=0}
-133168	扭秤	65536	25197	3	{n=0}
-133169	子埝	65536	23376	3	{n=0}
-133170	救生衣	65536	150172	3	{n=0}
-133171	扭秧	87552	25197	1	null
-133172	熙来攘往	65536	133166	3	{i=0}
-133173	熙熙攘	107305	140620	1	null
-133174	必败	65536	24517	3	{v=1}
-133175	浴室	65536	28020	3	{n=1}
-133176	殷殷	65536	27575	3	{z=9}
-133177	奇形	76478	22855	1	null
-133178	南疆	65536	21335	3	{n=2, ns=0, s=0}
-133179	游艺场	65536	186002	3	{n=0}
-133180	汪汪	65536	27754	3	{z=0}
-133181	汽油桶	65536	140971	3	{n=0}
-133182	清真教	65536	194617	3	{n=0}
-133183	熙和	108477	29081	1	null
-133184	熄火	65536	29060	3	{v=0}
-133185	熙熙攘攘	65536	133173	3	{i=2}
-133186	熄灭	65536	29060	3	{v=0, vn=0}
-133187	圣庙	65536	22307	3	{n=0}
-133188	熄灯	111633	29060	2	{v=0}
-133189	内讧	65536	20869	3	{v=0, vn=0}
-133190	华都	65536	21326	3	{nz=2}
-133191	封建	86566	23553	2	{a=10, ad=0, an=4}
-133192	熏制	65536	29071	3	{v=0}
-133193	熟地黄	65536	156641	3	{n=0}
-133194	坐次	65536	22352	3	{n=0}
-133195	熟橡胶	65536	161554	3	{n=0}
-133196	权位	65536	26435	3	{n=0}
-133197	沿岸	65536	27839	3	{f=15, s=0}
-133198	熟石灰	65536	165028	3	{n=0}
-133199	描述	92587	25551	2	{v=15, vn=4}
-133200	演职员	65536	157916	3	{j=1}
-133201	服侍	65536	26381	3	{v=0}
-133202	熟能生	109164	167342	1	null
-133203	熟能生巧	65536	133202	3	{i=0}
-133204	熟荒地	65536	167939	3	{n=0}
-133205	款款	65536	27454	3	{a=0, ad=0, n=2, z=0}
-133206	显圣	65536	26174	3	{v=0}
-133207	明白纸	65536	176007	3	{n=0}
-133208	流通性	65536	189173	3	{n=0}
-133209	密封	83791	23494	2	{v=0, vn=0}
-133210	熟视无	102626	169591	1	null
-133211	熟视无睹	65536	133210	3	{i=2}
-133212	内设	65536	20869	3	{b=1, v=1, vn=0}
-133213	熠熠	103233	29088	2	{z=5}
-133214	教育观	65536	171358	3	{n=0}
-133215	汛期	65536	27739	3	{t=1}
-133216	熠熠生	96475	133213	1	null
-133217	灶台	65536	28790	3	{n=3}
-133218	城砖	65536	22478	3	{n=0}
-133219	原盐	65536	21407	3	{n=0}
-133220	熠熠生辉	65536	133216	3	{i=3}
-133221	熠熠闪闪	65536	141611	3	{l=1}
-133222	撒哈	92374	25746	1	null
-133223	核电界	65536	176457	3	{n=1}
-133224	张宅	90511	24352	1	null
-133225	前臼	65539	21069	1	null
-133226	熨熨贴	97082	138239	1	null
-133227	回填	65536	22238	3	{v=0}
-133228	效用	65536	25928	3	{n=2}
-133229	熨帖	65536	29096	3	{a=0}
-133230	熨熨贴贴	65536	133226	3	{z=0}
-133231	名分	65536	21517	3	{n=0}
-133232	复八	66448	22797	1	null
-133233	熹微	65536	29113	3	{a=1}
-133234	燃气轮机	65536	149119	3	{n=0}
-133235	初雪	65536	21021	3	{n=1}
-133236	燃眉之	108624	138368	1	null
-133237	燃眉之急	65536	133236	3	{i=10}
-133238	燎原	113196	29134	2	{nz=1, v=0, vn=0}
-133239	燎原之	112059	133238	1	null
-133240	子堤	65536	23376	3	{n=0}
-133241	复兴	78072	22797	2	{nz=2, v=4, vn=8}
-133242	燎原之势	65536	133239	3	{l=2}
-133243	内话	65536	20869	3	{j=1}
-133244	涣然	109309	28067	1	null
-133245	尽责	65536	23613	3	{a=0, ad=0, v=0}
-133246	套种	65536	22871	3	{v=4, vn=1}
-133247	燕南园	65536	145416	3	{ns=0}
-133248	名列	72600	21517	2	{v=29}
-133249	商旅	65536	21830	3	{n=0}
-133250	熬夜	65536	29100	3	{v=0}
-133251	燕塞湖	65536	146703	3	{ns=2}
-133252	柔姿	91747	26580	1	null
-133253	携起	92238	25658	1	null
-133254	易于	65536	26131	3	{v=4, vd=0, vn=0}
-133255	树脂酸	65536	171006	3	{n=0}
-133256	燃气具	65536	135563	3	{n=0}
-133257	燕头镇	65536	146917	3	{ns=0}
-133258	分社	65536	20998	3	{n=8}
-133259	授命	65536	25480	3	{vn=1}
-133260	灶君	65536	28790	3	{n=3}
-133261	燕子垭	65536	147457	3	{ns=3}
-133262	燃料库	65536	133904	3	{n=0}
-133263	樟脑油	65536	132081	3	{n=0}
-133264	燕尔新	110138	147653	1	null
-133265	浩劫	65536	28009	3	{n=1}
-133266	名利	72219	21517	2	{n=6}
-133267	戏法	65536	25103	3	{n=0}
-133268	燕尔新婚	65536	133264	3	{i=0}
-133269	熊切	65536	29066	3	{nr=0}
-133270	燕尾服	65536	147695	3	{n=0}
-133271	溢流式	65536	139172	3	{b=0}
-133272	夏收	65536	22799	3	{n=1, vn=0}
-133273	张家	89117	24352	1	null
-133274	池沼	65536	27744	3	{n=0}
-133275	摩洛	95854	25705	1	null
-133276	炊具	65536	28810	3	{n=1}
-133277	公里	65554	20844	2	{q=193}
-133278	复写	66460	22797	2	{v=0}
-133279	晨练	65536	26216	3	{v=5, vn=0}
-133280	废寝	85345	24223	1	null
-133281	欣欣然	65536	132162	3	{d=0, z=1}
-133282	声张	65536	22768	3	{v=0}
-133283	增添	65536	22686	3	{v=39}
-133284	燕山街	65536	147746	3	{ns=0}
-133285	燕窝镇	65536	155470	3	{ns=0}
-133286	燕语莺	110519	159902	1	null
-133287	燕语莺声	65536	133286	3	{i=0}
-133288	最初	65536	26368	3	{b=8, d=9}
-133289	燕雀处	110762	162673	1	null
-133290	分神	65536	20998	3	{v=0}
-133291	戒规	65536	25106	3	{n=0}
-133292	燕雀处堂	65536	133289	3	{i=0}
-133293	数据表	65536	152031	3	{n=0}
-133294	奇志	65536	22855	3	{n=0}
-133295	幽期	65536	24189	3	{n=0}
-133296	燕麦片	65536	164695	3	{n=0}
-133297	掌灯	65536	25484	3	{vn=1}
-133298	摄影集	65536	123041	3	{n=0}
-133299	燥热	65536	29157	3	{a=1, an=0}
-133300	燧石	65536	29159	3	{n=0}
-133301	爆冷门	65536	134049	3	{l=1}
-133302	爆竹声	65536	144611	3	{n=9}
-133303	弹力	89104	24377	2	{n=0}
-133304	巨擘	65536	24040	3	{n=1}
-133305	爆破手	65536	143902	3	{n=0}
-133306	爆米花	65536	144989	3	{n=1}
-133307	初露	65742	21021	1	null
-133308	爆裂性	65536	148140	3	{n=1}
-133309	燃烧值	65536	136798	3	{n=0}
-133310	爬墙虎	65536	134686	3	{n=0}
-133311	敬仰	65536	25964	3	{v=1, vn=1}
-133312	暂用	65536	26242	3	{v=0}
-133313	爆发力	65536	134587	3	{n=1}
-133314	爬山越岭	65536	135191	3	{l=2}
-133315	杜撰	65536	26460	3	{v=0}
-133316	发扬	71680	21457	2	{v=84, vn=2}
-133317	无头表	65536	174715	3	{n=2}
-133318	戊辰	65536	25098	3	{b=0, m=0}
-133319	四季	67822	22235	2	{n=3}
-133320	爬格子	65536	138689	3	{l=0}
-133321	密山	65536	23494	3	{ns=0}
-133322	变线	65536	21464	3	{v=1}
-133323	爬行动	104036	146897	1	null
-133324	爬升	65536	29228	3	{v=0}
-133325	爬行动物	65536	133323	3	{l=0, n=1}
-133326	游乐园	65536	172648	3	{n=8}
-133327	爱丁堡	65536	177826	3	{ns=0}
-133328	名剧	65536	21517	3	{n=0}
-133329	爱不释	108169	177838	1	null
-133330	滥发	65536	28389	3	{v=2}
-133331	爆炸力	65536	141986	3	{n=0}
-133332	爱不释手	65536	133329	3	{i=3}
-133333	智囊	99339	26234	2	{n=5}
-133334	爱丽丝	109890	177886	1	null
-133335	图示	65536	22270	3	{v=0}
-133336	名副	72821	21517	1	null
-133337	怪杰	65536	24618	3	{n=2}
-133338	弹劾	65536	24377	3	{v=0}
-133339	爬山虎	65536	135670	3	{n=0}
-133340	同工	71973	21516	1	null
-133341	汪洋	105215	27754	2	{n=4, nr=2, z=1}
-133342	清凉寺	65536	185059	3	{ns=0}
-133343	爱丽丝宝	65536	133334	3	{nz=0}
-133344	爱克发	65536	178668	3	{nz=1}
-133345	爱克斯光	65536	137918	3	{n=0}
-133346	搬迁	92240	25644	2	{v=6, vn=3}
-133347	爱出风	110515	178843	1	null
-133348	才德	93717	25165	1	null
-133349	拱道	65536	25329	3	{n=0}
-133350	揭榜	65536	25581	3	{v=1}
-133351	爱出风头	65536	133347	3	{l=0}
-133352	爱卫会	65536	179212	3	{j=0}
-133353	爱厂如	109876	179235	1	null
-133354	爱厂如家	65536	133353	3	{l=1}
-133355	派会	65536	27966	3	{n=2}
-133356	爱因斯	110988	180097	1	null
-133357	晶粒	65536	26230	3	{n=0}
-133358	发抖	65536	21457	3	{v=2}
-133359	扎眼	65536	25166	3	{a=0}
-133360	回声	65536	22238	3	{n=2}
-133361	搬运	95792	25644	2	{v=2, vn=0}
-133362	爱因斯坦	65536	133356	3	{nr=0}
-133363	爱国主义	65536	133524	3	{n=36}
-133364	爱国人士	65536	133651	3	{n=9}
-133365	爱国华侨	65536	134823	3	{n=0}
-133366	爱国同胞	65536	135013	3	{n=1}
-133367	爱国志士	65536	138032	3	{n=0}
-133368	墨香	65536	22696	3	{n=0}
-133369	爱好者	65536	180766	3	{n=30}
-133370	爱子教	109995	181233	1	null
-133371	爱子教子	65536	133370	3	{l=1}
-133372	搬进	65536	25644	3	{v=11}
-133373	发报	66067	21457	2	{vn=0}
-133374	四定	65536	22235	3	{j=0}
-133375	复出	65536	22797	3	{v=1}
-133376	攻坚	92846	25915	2	{v=18, vn=38}
-133377	奇怪	65536	22855	3	{a=2, v=3, vn=0}
-133378	复函	65536	22797	3	{n=0, v=0}
-133379	巧计	65536	24039	3	{n=0}
-133380	爱尔兰	112533	181429	2	{ns=12}
-133381	所里	65536	25152	3	{n=0}
-133382	爱尔兰共	111740	133380	1	null
-133383	分离	66084	20998	2	{v=16, vd=1, vn=15}
-133384	爱尔兰共和	111117	133382	1	null
-133385	打击面	65536	166932	3	{n=0}
-133386	爱尔兰共和国	65536	133384	3	{ns=0}
-133387	拜多	77635	25308	1	null
-133388	新罗西	93463	183955	1	null
-133389	回复	65536	22238	3	{n=0, v=1, vn=1}
-133390	爱屋及	113348	181484	1	null
-133391	复刊	65536	22797	3	{v=1, vn=0}
-133392	爱屋及乌	65536	133390	3	{i=0}
-133393	智圆	86690	26234	1	null
-133394	烛台	65536	28891	3	{n=0}
-133395	爱岗敬	113402	181560	1	null
-133396	爱岗敬业	65536	133395	3	{l=7}
-133397	华里	65536	21326	3	{q=2}
-133398	爱憎分	107275	182831	1	null
-133399	四害	65536	22235	3	{j=0}
-133400	受罚	65536	21463	3	{v=1, vn=0}
-133401	爱憎分明	65536	133398	3	{i=0}
-133402	拜天	93784	25308	1	null
-133403	游乐场	65536	172648	3	{n=1}
-133404	爱才如	111779	183022	1	null
-133405	分科	65536	20998	3	{n=0, v=1}
-133406	分秒	65614	20998	2	{n=0}
-133407	柔媚	65536	26580	3	{an=0}
-133408	爱才如命	65536	133404	3	{l=0}
-133409	圆笼	65536	22278	3	{n=0}
-133410	爱民如	110035	185522	1	null
-133411	爱民如子	65536	133410	3	{i=0}
-133412	封志	65536	23553	3	{n=0}
-133413	渗坑	65536	28183	3	{n=0}
-133414	圣彼	72346	22307	1	null
-133415	爱沙尼	113301	185658	1	null
-133416	受罪	65536	21463	3	{v=0, vn=0}
-133417	回天	76073	22238	1	null
-133418	样册	65536	26679	3	{n=0}
-133419	北空	65536	21271	3	{j=2}
-133420	无所不能	65536	120309	3	{i=2}
-133421	后处	65559	21518	1	null
-133422	复利	69326	22797	2	{n=0}
-133423	爱沙尼亚	112577	133415	2	{ns=15}
-133424	后备	73010	21518	2	{b=15, n=0, vn=0}
-133425	灭火器	65536	141120	3	{n=2}
-133426	爱沙尼亚共	111783	133423	1	null
-133427	爱沙尼亚共和	111161	133426	1	null
-133428	回头	72668	22238	2	{d=1, v=3, vn=0}
-133429	挺进	65536	25402	3	{v=7, vn=0}
-133430	爱沙尼亚共和国	65536	133427	3	{ns=1}
-133431	圆筒	65536	22278	3	{n=0}
-133432	敬佩	65536	25964	3	{v=10, vn=0}
-133433	爱滋病	65536	186220	3	{n=0}
-133434	爱理不	103735	187559	1	null
-133435	复制	78688	22797	2	{v=7, vn=4}
-133436	圣徒	65536	22307	3	{n=1}
-133437	爱理不理	65536	133434	3	{l=1}
-133438	爱琴海	65536	187605	3	{ns=0}
-133439	弹匣	65536	24377	3	{n=0}
-133440	爱知县	65536	188550	3	{ns=0}
-133441	爱立信	65536	189292	3	{nz=6}
-133442	爱莫能	112283	191564	1	null
-133443	各类	65536	21508	3	{r=107}
-133444	爱莫能助	65536	133442	3	{i=1}
-133445	易位	65536	26131	3	{v=0}
-133446	爱财如	111819	193987	1	null
-133447	夏日	65536	22799	3	{n=0, nr=1, t=3}
-133448	爱财如命	65536	133446	3	{i=0}
-133449	夜明	73419	22812	1	null
-133450	才思	88649	25165	2	{n=0}
-133451	爱面子	65536	196611	3	{a=0, an=0}
-133452	爵士乐队	65536	133454	3	{n=1}
-133453	攘除	65536	25880	3	{v=0}
-133454	爵士乐	95021	135917	2	{n=0}
-133455	爵位	65536	29237	3	{n=0}
-133456	父权制	65536	139941	3	{n=0}
-133457	合格	71469	21512	2	{a=0, v=62, vd=0, vn=9}
-133458	后天	73923	21518	2	{n=2, t=1}
-133459	押韵	65536	25276	3	{a=0}
-133460	加试	65536	21152	3	{v=0}
-133461	清凉山	65536	185059	3	{ns=0}
-133462	漱口液	65536	131856	3	{n=0}
-133463	新闻片	65536	189751	3	{n=0}
-133464	夏时	77992	22799	1	null
-133465	父母亲	65536	141103	3	{n=1}
-133466	分税	67159	20998	1	null
-133467	双球	65539	21452	1	null
-133468	擦肩	84990	25830	1	null
-133469	后头	65536	21518	3	{f=4}
-133470	父老乡亲	65536	133474	3	{l=14}
-133471	抓瞎	65536	25235	3	{v=0}
-133472	毁弃	65536	27585	3	{v=0}
-133473	父老兄弟	65536	134213	3	{j=1}
-133474	父老乡	113324	146275	1	null
-133475	浏阳河	65536	132885	3	{ns=0}
-133476	爸爸	65536	29240	3	{n=16}
-133477	昏定	94773	26127	1	null
-133478	毫克	65536	27627	3	{q=1}
-133479	挑唆	65536	25361	3	{v=0}
-133480	执白	65536	25191	3	{v=6}
-133481	濒危	100937	28626	2	{v=2, vn=8}
-133482	爷们	65536	29239	3	{n=1}
-133483	同年	65536	21516	3	{b=1, d=21, f=1, n=1, t=0}
-133484	爽安康	65536	138047	3	{nz=0}
-133485	拾金	96268	25342	1	null
-133486	柔嫩	65536	26580	3	{a=0}
-133487	灯心草	65536	174582	3	{n=0}
-133488	子夜	65536	23376	3	{nr=0, nz=0, t=4}
-133489	氟橡	94276	27679	1	null
-133490	前茅	65536	21069	3	{f=0, n=3}
-133491	教练车	65536	170863	3	{n=1}
-133492	攻城	92459	25915	1	null
-133493	樟蚕	65536	27167	3	{n=0}
-133494	愚顽	65536	24858	3	{a=0}
-133495	团省	73267	22242	1	null
-133496	吃老	66558	21507	1	null
-133497	有意识	65536	179633	3	{v=2, vd=0}
-133498	清晰度	65536	190346	3	{n=3}
-133499	爷儿们	65536	134077	3	{n=0}
-133500	爽然若	110669	143596	1	null
-133501	发挥	65536	21457	3	{v=321, vn=14}
-133502	爽然若失	65536	133500	3	{i=0}
-133503	台独	65536	21488	3	{j=5}
-133504	爽身粉	65536	151137	3	{n=0}
-133505	同床	72639	21516	1	null
-133506	止境	65536	27490	3	{n=4}
-133507	片假名	65536	145029	3	{n=0}
-133508	扬名	92152	25196	2	{v=0}
-133509	片瓦不	112678	154404	1	null
-133510	摇滚	97450	25671	2	{n=1, v=0}
-133511	没头脑	65536	169734	3	{l=0}
-133512	头像	65536	22836	3	{n=3}
-133513	名匠	65536	21517	3	{n=1}
-133514	北站	65536	21271	3	{n=1}
-133515	然后	65536	28982	3	{c=85, d=1, t=0}
-133516	南盘	65543	21335	1	null
-133517	斑纹	65536	26001	3	{n=0}
-133518	片瓦不全	65536	133509	3	{l=0}
-133519	毛毛雨	65536	177370	3	{n=0}
-133520	河东村	65536	162593	3	{ns=0}
-133521	同庚	65536	21516	3	{v=0}
-133522	惨痛	65536	24808	3	{a=4}
-133523	南盟	65536	21335	3	{j=0}
-133524	爱国主	113322	180126	1	null
-133525	夜晚	65536	22812	3	{n=0, t=15}
-133526	旅行袋	65536	152838	3	{n=0}
-133527	朱张	96453	26417	1	null
-133528	活动分	106057	173543	1	null
-133529	爹地	65536	29241	3	{n=0}
-133530	片瓦无存	65536	139608	3	{i=0}
-133531	片甲不	110150	154480	1	null
-133532	爪儿	65536	29226	3	{n=0}
-133533	片纸只	110152	156918	1	null
-133534	片甲不存	65536	133531	3	{i=0}
-133535	片纸只字	65536	133533	3	{i=0}
-133536	片儿汤	65536	145277	3	{n=0}
-133537	片言只	110155	159806	1	null
-133538	片言只字	65536	133537	3	{i=0}
-133539	少数	79508	23569	2	{m=57}
-133540	名医	65545	21517	2	{n=2}
-133541	片面性	65536	163232	3	{n=3}
-133542	波斯湾	65536	158106	3	{ns=0}
-133543	弹压	65536	24377	3	{v=0}
-133544	样刊	65536	26679	3	{n=2}
-133545	果子酒	65536	165246	3	{n=0}
-133546	夜景	65536	22812	3	{n=2}
-133547	片麻岩	65536	165113	3	{n=0}
-133548	后妃	65536	21518	3	{n=0}
-133549	泸沽	100863	27896	1	null
-133550	涂布	65536	28034	3	{n=0}
-133551	版本号	65536	145778	3	{n=0}
-133552	悬挂	65536	24748	3	{v=14, vn=1}
-133553	后妈	65536	21518	3	{n=0}
-133554	版权法	65536	145801	3	{n=0}
-133555	材质	65536	26448	3	{n=1}
-133556	牌坊店	107109	145748	2	{ns=0}
-133557	擦脂	92507	25830	1	null
-133558	牌坊店村	65536	133556	3	{ns=0}
-133559	无名英	81336	173396	1	null
-133560	牙买加	65536	163287	3	{ns=0}
-133561	牙槽炎	65536	170340	3	{n=0}
-133562	牙克石	65536	164018	3	{ns=0}
-133563	抚躬	82160	25242	1	null
-133564	牙牙学	97748	172480	1	null
-133565	牙周炎	65536	164815	3	{n=0}
-133566	名单	65536	21517	3	{n=67}
-133567	炸伤	65536	28856	3	{v=2}
-133568	巨无	69623	24040	1	null
-133569	牙牙学语	65536	133564	3	{i=0}
-133570	军警	65560	20891	2	{n=0}
-133571	斜对	80228	26012	1	null
-133572	散文集	65536	146733	3	{n=9}
-133573	把脉	65536	25226	3	{v=1}
-133574	洛阳桥	65536	150693	3	{ns=0}
-133575	子女	65536	23376	3	{n=43}
-133576	果子酱	65536	165246	3	{n=0}
-133577	洛南	65536	27931	3	{ns=0}
-133578	奇想	65536	22855	3	{n=0}
-133579	消耗战	65536	185586	3	{n=0}
-133580	捏造	65536	25423	3	{v=3, vn=0}
-133581	牙白口	105418	173540	1	null
-133582	斜射	65536	26012	3	{v=1, vn=0}
-133583	牙白口清	65536	133581	3	{i=0}
-133584	夏普	65536	22799	3	{nz=2}
-133585	架子花	65536	128998	3	{n=0}
-133586	牙釉质	65536	180528	3	{n=0}
-133587	牙髓炎	65536	182842	3	{n=0}
-133588	牙龈炎	65536	184047	3	{n=0}
-133589	土专	73070	22303	1	null
-133590	内贸	65637	20869	2	{n=0}
-133591	牛刀小	97795	175018	1	null
-133592	牛刀小试	65536	133591	3	{i=0}
-133593	商朝	65536	21830	3	{t=1}
-133594	土丘	65536	22303	3	{n=0}
-133595	棕毛	65536	26837	3	{n=0}
-133596	图稿	65536	22270	3	{n=0}
-133597	出纳	66677	20986	2	{n=3}
-133598	牛头马面	65536	152103	3	{i=0}
-133599	牛年马	107225	178206	1	null
-133600	汽修	108062	27773	2	{j=0}
-133601	牛年马月	65536	133599	3	{l=0}
-133602	内资	65536	20869	3	{n=2}
-133603	牛头刨	65536	176862	3	{n=0}
-133604	后妻	65536	21518	3	{n=0}
-133605	牛排馆	65536	179516	3	{n=0}
-133606	牛朱特	65536	180443	3	{nz=4}
-133607	牛毛雨	65536	181637	3	{n=0}
-133608	有机物	65536	181212	3	{n=1}
-133609	出线	65774	20986	2	{v=1, vn=1}
-133610	发排	65536	21457	3	{v=0}
-133611	单瓣	65536	21333	3	{b=0}
-133612	牛溲马	112426	182364	1	null
-133613	牛溲马勃	65536	133612	3	{i=0}
-133614	截肢	65536	25130	3	{v=2, vn=0}
-133615	棕毯	65536	26837	3	{n=0}
-133616	发掘	65536	21457	3	{v=16, vn=6}
-133617	声息	65536	22768	3	{n=1}
-133618	才情	65536	25165	3	{n=1}
-133619	泡汤	65536	27873	3	{v=2}
-133620	牛痘苗	65536	184194	3	{n=0}
-133621	桦甸	100836	26726	2	{ns=0}
-133622	抱薪	89716	25265	1	null
-133623	牛羊肉	65536	186676	3	{n=0}
-133624	头儿	65536	22836	3	{n=3}
-133625	拔秆	94892	25300	1	null
-133626	牛皮癣	65536	184408	3	{n=3}
-133627	沧桑	103493	27815	2	{a=0, n=12}
-133628	牛肉面	65536	186931	3	{n=1}
-133629	桃园	65536	26691	3	{n=0, ns=0}
-133630	牛肝菌	65536	186951	3	{n=0}
-133631	巨星	65536	24040	3	{n=1}
-133632	牛脾气	65536	187112	3	{n=0}
-133633	牛角尖	65536	189308	3	{n=0}
-133634	孤芳	70266	23396	1	null
-133635	套筒	65536	22871	3	{n=0}
-133636	拆开	65536	25286	3	{v=1}
-133637	旋纽	65536	26059	3	{n=0}
-133638	牛郎织女	65536	139954	3	{i=1}
-133639	掠过	65536	25504	3	{v=11}
-133640	牛鬼蛇	102573	193766	1	null
-133641	军训	65536	20891	3	{v=2, vn=0}
-133642	牛郎星	65536	191096	3	{n=0}
-133643	牛鬼蛇神	65536	133640	3	{i=0}
-133644	牛鼎烹	93166	194744	1	null
-133645	牛仔布	65536	174206	3	{n=0}
-133646	效益	95763	25928	2	{n=196}
-133647	牛鼎烹鸡	65536	133644	3	{i=0}
-133648	牛鼻子	65536	194789	3	{l=0}
-133649	名厨	65536	21517	3	{n=0}
-133650	渺无	110950	28218	1	null
-133651	爱国人	110601	180126	1	null
-133652	父亲	65536	29238	3	{n=53}
-133653	怀德	90927	24576	1	null
-133654	受聘	65536	21463	3	{v=0}
-133655	分立	65576	20998	2	{v=1}
-133656	牝牛	65536	29277	3	{n=0}
-133657	某月	65536	26576	3	{r=1}
-133658	拔秧	89565	25300	2	{v=1}
-133659	牟取暴	112627	134136	1	null
-133660	牟取暴利	65536	133659	3	{l=3}
-133661	旋绕	65536	26059	3	{v=0}
-133662	拿波	78945	25343	1	null
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-133750	物理化学	65536	133771	3	{l=1}
-133751	双生	65536	21452	3	{b=0}
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-133753	氮氧	106059	27694	1	null
-133754	栓皮	97789	26643	2	{n=0}
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-133756	土人	65536	22303	3	{n=0}
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-133758	氢氟	90060	27682	1	null
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-133767	物理性质	65536	137116	3	{l=0}
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-133772	受胎	65536	21463	3	{v=0}
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-133777	浴巾	65536	28020	3	{n=0}
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-133779	物美价	109519	166531	1	null
-133780	概数	65536	27010	3	{n=0}
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-133791	昂首阔	93282	134940	1	null
-133792	夜来	65546	22812	1	null
-133793	物质损	100997	170013	1	null
-133794	拨给	65536	25320	3	{v=1}
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-133796	复原	65536	22797	3	{v=1, vn=3}
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-133800	牲口棚	65536	133808	3	{n=0}
-133801	展翅	65536	23637	3	{v=3}
-133802	牵引力	65536	140952	3	{n=0}
-133803	牵强附	113554	140989	1	null
-133804	牵强附会	65536	133803	3	{i=0}
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-133810	牵线搭桥	65536	133809	3	{l=7}
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-133822	牵肠挂肚	65536	133817	3	{i=3}
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-133833	暖壶	65536	26262	3	{n=0}
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-133980	夜校	65536	22812	3	{n=1}
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-133982	烫发	65536	28907	3	{v=0}
-133983	淋巴管	65536	130441	3	{n=1}
-133984	氧气	97374	27687	2	{n=1}
-133985	犁庭扫闾	65536	133978	3	{i=0}
-133986	毫升	65536	27627	3	{q=3}
-133987	炭坑	65536	28845	3	{n=0}
-133988	犄角	65536	29316	3	{n=1}
-133989	服务	117316	26381	2	{n=1, v=256, vn=490}
-133990	犍牛	65536	29325	3	{n=0}
-133991	张庄	84160	24352	1	null
-133992	民族自治	65536	143790	3	{l=23}
-133993	歹毒	65536	27513	3	{a=0}
-133994	溽热	65536	28349	3	{a=0}
-133995	幼龟	65536	24188	3	{n=0}
-133996	犒劳	65536	29330	3	{n=0, v=0}
-133997	同恶	65626	21516	1	null
-133998	犟头犟	100959	135689	1	null
-133999	各级	65536	21508	3	{r=338}
-134000	犟头犟脑	65536	133998	3	{l=0}
-134001	存而	83421	23384	1	null
-134002	犟脾气	65536	145939	3	{n=0}
-134003	拆息	65536	25286	3	{n=0}
-134004	犬牙交	95836	139912	1	null
-134005	犬牙交错	65536	134004	3	{i=1}
-134006	左手	65536	24038	3	{n=4}
-134007	法国梧	101979	177465	1	null
-134008	犬马之	112838	150171	1	null
-134009	犬马之劳	65536	134008	3	{i=0}
-134010	张店	89307	24352	2	{ns=1}
-134011	犀利	65536	29312	3	{a=1, an=0}
-134012	商检	65536	21830	3	{j=1, v=0, vn=2}
-134013	施主	65536	26045	3	{n=0}
-134014	犯上作	113939	141951	1	null
-134015	犬子	65536	29356	3	{n=0}
-134016	抢夺	65536	25250	3	{v=1}
-134017	清洁度	65536	192027	3	{n=0}
-134018	复命	65536	22797	3	{v=0}
-134019	水晶棺	65536	187186	3	{n=1}
-134020	犯上作乱	65536	134014	3	{i=0}
-134021	犯不上	65536	141954	3	{v=0}
-134022	古浪	71284	21476	1	null
-134023	犟劲	65536	29343	3	{n=0}
-134024	犯嘀咕	65536	143989	3	{l=3}
-134025	犯罪分子	65536	134073	3	{n=14}
-134026	怪模	88082	24618	1	null
-134027	犷悍	65536	29367	3	{a=0}
-134028	各组	65536	21508	3	{r=4}
-134029	犯得上	65536	146444	3	{v=0}
-134030	犹为未	107829	134369	1	null
-134031	犹为未晚	65536	134030	3	{i=1}
-134032	昆腔	65536	26118	3	{n=0}
-134033	可比	72636	21487	2	{b=0, v=2, vn=3}
-134034	施乐	65536	26045	3	{nz=0}
-134035	状态值	65536	137964	3	{n=0}
-134036	拖家	91914	25302	1	null
-134037	军费	65536	20891	3	{n=1}
-134038	发放	65536	21457	3	{v=56, vn=3}
-134039	滑石粉	65536	156439	3	{n=1}
-134040	犹太教徒	65536	139834	3	{n=0}
-134041	溜之大	109758	134476	1	null
-134042	权力	93360	26435	2	{n=76}
-134043	犹太人	65536	137169	3	{n=25, nz=0}
-134044	犹犹豫	98099	143712	1	null
-134045	救济费	65536	148171	3	{n=0}
-134046	犹犹豫豫	65536	134044	3	{z=0}
-134047	犹豫不	113135	150290	1	null
-134048	军资	65536	20891	3	{n=0}
-134049	爆冷	94925	29190	2	{v=1}
-134050	犹豫不决	65536	134047	3	{i=0}
-134051	狂妄自	111231	161961	1	null
-134052	子子	79887	23376	1	null
-134053	思恋	65536	24605	3	{v=0, vn=0}
-134054	狂妄自大	65536	134051	3	{i=0}
-134055	沟渠	65536	27807	3	{n=0}
-134056	消防栓	65536	191245	3	{n=0}
-134057	同悲	65536	21516	3	{v=0}
-134058	客星	65536	23458	3	{n=0}
-134059	泉水	65536	27849	3	{n=2}
-134060	斯堪	88762	26031	1	null
-134061	子孙	83315	23376	2	{n=5}
-134062	狂想曲	65536	163864	3	{n=0}
-134063	狂欢夜	65536	166471	3	{n=5}
-134064	狂热性	65536	167954	3	{n=0}
-134065	狂犬病	65536	168401	3	{n=0}
-134066	浇底	109583	27975	1	null
-134067	毫厘	106965	27627	2	{n=0}
-134068	溪头	65536	28330	3	{ns=0}
-134069	狂轰滥	105215	175765	1	null
-134070	回家	65536	22238	3	{v=56, vn=0}
-134071	狂轰滥炸	65536	134069	3	{i=0}
-134072	捕鱼	65536	25429	3	{v=7, vn=3}
-134073	犯罪分	110649	154591	1	null
-134074	洞察	108175	27934	2	{v=0, vn=0}
-134075	发散	65540	21457	2	{v=1, vn=0}
-134076	同情	69095	21516	2	{v=11, vn=7}
-134077	爷儿	113295	29239	2	{n=0}
-134078	权势	93365	26435	2	{n=1}
-134079	分米	65550	20998	2	{q=0}
-134080	口紧	65536	21475	3	{a=0}
-134081	狂风怒号	65536	134082	3	{l=0}
-134082	狂风怒	112586	178163	1	null
-134083	狂风恶浪	65536	134182	3	{l=0}
-134084	狂风暴雨	65536	135780	3	{i=0}
-134085	狂飙运	112929	178174	1	null
-134086	废弃	87563	24223	2	{v=7, vn=5}
-134087	分类	65920	20998	2	{ad=0, v=11, vd=0, vn=18}
-134088	宽窄	65536	23485	3	{n=0}
-134089	狂飙运动	65536	134085	3	{l=0}
-134090	少林	83634	23569	2	{n=1, nz=0}
-134091	派出	104378	27966	2	{v=52, vn=0}
-134092	狄塞	101275	29380	1	null
-134093	施事	65536	26045	3	{n=0}
-134094	狄塞耳	107669	134092	1	null
-134095	狄塞耳机	65536	134094	3	{n=0}
-134096	忠言	75342	24544	2	{n=0}
-134097	可气	65536	21487	3	{a=0}
-134098	原稿	65748	21407	2	{n=0}
-134099	套索	65536	22871	3	{n=0}
-134100	后宫	65536	21518	3	{n=0}
-134101	狍子	65536	29389	3	{n=0}
-134102	双百	65814	21452	2	{j=0, m=1}
-134103	四平	75782	22235	2	{nr=0, ns=0}
-134104	李沟	96960	26446	1	null
-134105	后宰	65725	21518	1	null
-134106	检场	65536	26816	3	{v=0}
-134107	墨鱼	65536	22696	3	{n=0}
-134108	格林纳	87866	150920	1	null
-134109	狎昵	65536	29390	3	{a=0}
-134110	废弛	65536	24223	3	{vn=0}
-134111	发文	65536	21457	3	{n=0, v=1}
-134112	李沧	102105	26446	1	null
-134113	狐假虎	111073	138962	1	null
-134114	狐假虎威	65536	134113	3	{i=1}
-134115	张开	65536	24352	3	{v=1}
-134116	爆出	65536	29190	3	{v=5}
-134117	放大镜	65536	163375	3	{n=3}
-134118	狐朋狗	112669	144790	1	null
-134119	泪人	65536	27882	3	{n=0}
-134120	狐朋狗友	65536	134118	3	{i=0}
-134121	狐死首	114131	145926	1	null
-134122	图籍	65536	22270	3	{n=0}
-134123	狐死首丘	65536	134121	3	{i=0}
-134124	毫发	65536	27627	3	{n=1}
-134125	城管	65536	22478	3	{j=1}
-134126	狐狸尾	110075	147843	1	null
-134127	狐狸尾巴	65536	134126	3	{i=1}
-134128	拜寿	65536	25308	3	{v=2}
-134129	爹妈	65536	29241	3	{n=1}
-134130	子实	65536	23376	3	{n=0}
-134131	狐疑不	113217	148508	1	null
-134132	狐疑不决	65536	134131	3	{i=0}
-134133	圣手	65536	22307	3	{n=0}
-134134	张弓	72400	24352	2	{nz=0}
-134135	四库	65536	22235	3	{nz=0}
-134136	牟取	107367	29279	2	{v=0}
-134137	思悟	65536	24605	3	{vn=1}
-134138	狐群狗	113313	151087	1	null
-134139	狐群狗党	65536	134138	3	{i=0}
-134140	派别	65536	27966	3	{n=3}
-134141	淅沥	65536	28101	3	{o=0}
-134142	植物	105174	26893	2	{n=23}
-134143	子宫	72996	23376	2	{n=1}
-134144	单相	66026	21333	2	{b=0}
-134145	狒狒	65536	29394	3	{n=0}
-134146	狗不理	65536	148127	3	{nz=0}
-134147	狗东西	65536	148142	3	{n=0}
-134148	狗仗人	112968	148329	1	null
-134149	撞车	65536	25758	3	{v=1, vn=0}
-134150	同意	65536	21516	3	{v=88, vn=2}
-134151	狗仗人势	65536	134148	3	{i=0}
-134152	狗吃屎	65536	149653	3	{n=0}
-134153	狗头军	110084	150982	1	null
-134154	控制符	65536	117157	3	{n=0}
-134155	四座	72347	22235	1	null
-134156	狗头军师	65536	134153	3	{i=0}
-134157	狗尾续貂	65536	134163	3	{i=0}
-134158	泄劲	65536	27844	3	{v=1}
-134159	末日	65536	26411	3	{n=0}
-134160	待续	65536	24453	3	{v=0}
-134161	吊车	65536	21514	3	{n=2}
-134162	底数	65536	24213	3	{n=3}
-134163	狗尾续	98187	151760	1	null
-134164	可汗	65536	21487	3	{n=0}
-134165	狗屁不	97277	151763	1	null
-134166	同感	65536	21516	3	{n=2}
-134167	狗屁不通	65536	134165	3	{i=0}
-134168	止痛片	65536	141018	3	{n=1}
-134169	狗屎堆	65536	151776	3	{n=0}
-134170	狗崽子	65536	152015	3	{n=0}
-134171	抛锚	65536	25243	3	{v=2, vn=2}
-134172	扣除	65536	25187	3	{v=9, vn=1}
-134173	狗急跳	111496	152759	1	null
-134174	恩泽	65536	24681	3	{n=0}
-134175	拒钓	65536	25298	3	{v=2}
-134176	宝莲	76711	23453	1	null
-134177	狗急跳墙	65536	134173	3	{i=0}
-134178	狗牙草	65536	157419	3	{n=0}
-134179	步行虫	65536	148616	3	{n=0}
-134180	批注	65536	25209	3	{n=0, v=0, vn=0}
-134181	华铜	65536	21326	3	{nz=0}
-134182	狂风恶	106073	178163	1	null
-134183	狗皮膏	100537	158528	1	null
-134184	狗皮膏药	65536	134183	3	{i=0}
-134185	狗腿子	65536	161297	3	{n=0}
-134186	狗血喷	111351	163026	1	null
-134187	狗血喷头	65536	134186	3	{i=0}
-134188	狞笑	65536	29406	3	{v=0}
-134189	狙击	109080	29401	2	{v=1}
-134190	状元	65536	29366	3	{n=7}
-134191	掌班	65536	25484	3	{n=0}
-134192	狙击战	65536	134189	3	{n=2}
-134193	狡兔三	102811	134295	1	null
-134194	狠心狼	65536	137192	3	{n=0}
-134195	戒赌	65536	25106	3	{v=0}
-134196	火山学	65536	187104	3	{n=0}
-134197	测出	65536	27979	3	{v=0}
-134198	基点	65536	22522	3	{n=4}
-134199	合欢	65536	21512	3	{n=0}
-134200	土偶	65536	22303	3	{n=0}
-134201	南禅	67431	21335	1	null
-134202	狡兔三窟	65536	134193	3	{i=0}
-134203	攀登	65536	25856	3	{v=7, vn=3}
-134204	犹豫不前	65536	134047	3	{l=0}
-134205	狡猾性	65536	142977	3	{n=0}
-134206	狩猎	65536	29417	3	{n=0, v=0, vn=0}
-134207	发旧	65536	21457	3	{v=1}
-134208	渴求	65536	28212	3	{v=2, vn=0}
-134209	后尘	65536	21518	3	{n=0}
-134210	独一无	114108	182734	1	null
-134211	歼灭	101299	27516	2	{v=4}
-134212	单眼	65541	21333	2	{n=0}
-134213	父老兄	109122	146275	1	null
-134214	双目	65536	21452	3	{n=5}
-134215	分系	65615	20998	1	null
-134216	独一无二	65536	134210	3	{i=2}
-134217	独个儿	65536	182776	3	{d=0}
-134218	独具一格	65536	134274	3	{l=1}
-134219	军路	65536	20891	3	{n=0}
-134220	独具匠心	65536	135586	3	{i=2}
-134221	思想	89027	24605	2	{n=458}
-134222	机电票	65536	176270	3	{n=1}
-134223	喜玛	69974	21916	1	null
-134224	独具只眼	65536	135788	3	{i=0}
-134225	独具慧眼	65536	139241	3	{l=1}
-134226	投资额	65536	162250	3	{n=3}
-134227	独具特色	65536	143611	3	{l=6}
-134228	少校	65536	23569	3	{n=1}
-134229	太阳	90758	22826	2	{n=29, nz=1}
-134230	太阴	79591	22826	1	null
-134231	独出心	99223	183752	1	null
-134232	独出心裁	65536	134231	3	{i=0}
-134233	独创性	65536	183785	3	{n=3}
-134234	独到之	111447	183806	1	null
-134235	独到之处	65536	134234	3	{i=1}
-134236	新闻界	65536	189751	3	{n=35}
-134237	吃苦	70151	21507	2	{v=7, vn=1}
-134238	独占资	107828	184110	1	null
-134239	样品	65536	26679	3	{n=4}
-134240	独占资本	65536	134238	3	{l=0}
-134241	初高	68271	21021	1	null
-134242	热带鱼	65536	186163	3	{n=0}
-134243	狙击手	65536	134189	3	{n=1}
-134244	披露	65536	25259	3	{v=15, vn=6}
-134245	独占鳌头	65536	138214	3	{i=2}
-134246	发明	72341	21457	2	{n=7, v=13, vn=3}
-134247	发昏	65536	21457	3	{v=0}
-134248	独唱会	65536	184575	3	{n=0}
-134249	独善其	97727	184658	1	null
-134250	独善其身	65536	134249	3	{i=0}
-134251	旗舰	65536	26071	3	{n=0}
-134252	派力	108036	27966	1	null
-134253	播讲	65536	25773	3	{v=2}
-134254	独夫民	98099	185593	1	null
-134255	独夫民贼	65536	134254	3	{i=0}
-134256	斜度	65536	26012	3	{n=0}
-134257	点头哈	99462	167212	1	null
-134258	独奏会	65536	185629	3	{n=0}
-134259	商榷	65536	21830	3	{v=0}
-134260	独女户	65536	185665	3	{j=1}
-134261	独山子	65536	186431	3	{ns=1}
-134262	围绕	65536	22260	3	{v=126}
-134263	独幕剧	65536	186915	3	{n=0}
-134264	独当一	95512	187169	1	null
-134265	死心眼	105550	175633	1	null
-134266	独当一面	65536	134264	3	{i=0}
-134267	独断专	99379	188795	1	null
-134268	替续	99845	26367	1	null
-134269	变色	65601	21464	2	{v=0, vn=0}
-134270	师弟	65536	24072	3	{n=0}
-134271	独断专行	65536	134267	3	{i=0}
-134272	独断独行	65536	143700	3	{i=0}
-134273	爹娘	65536	29241	3	{n=0}
-134274	独具一	107534	183621	1	null
-134275	昏庸	65536	26127	3	{a=0, an=0}
-134276	梭罗	98373	26797	1	null
-134277	南科	65556	21335	1	null
-134278	独木不成	107765	134279	1	null
-134279	独木不	109174	189174	1	null
-134280	涨幅	65536	28072	3	{n=38, v=0}
-134281	汲水	65536	27762	3	{v=1}
-134282	头发	77387	22836	2	{n=6, nz=0}
-134283	政府部	79695	156137	1	null
-134284	独木不成林	65536	134278	3	{i=0}
-134285	变节	65536	21464	3	{v=0}
-134286	技术馆	65536	129020	3	{n=1}
-134287	独木赤烈	65536	150494	3	{ns=0}
-134288	双眸	65536	21452	3	{n=0}
-134289	独木难支	65536	152888	3	{i=0}
-134290	独来独	109843	189235	1	null
-134291	独来独往	65536	134290	3	{i=0}
-134292	双眼	65543	21452	2	{n=0}
-134293	独树一	110204	189407	1	null
-134294	库车	65536	24211	3	{ns=0}
-134295	狡兔	114216	29409	1	null
-134296	独树一帜	65536	134293	3	{i=3}
-134297	独此一	110821	190258	1	null
-134298	后山	65536	21518	3	{n=1}
-134299	独此一家	65536	134297	3	{l=1}
-134300	独步天	114322	190259	1	null
-134301	独步天下	65536	134300	3	{i=1}
-134302	并处	65536	24182	3	{v=1}
-134303	数以百计	65536	128895	3	{l=1}
-134304	状况	65536	29366	3	{n=178}
-134305	湄州	65536	28228	3	{n=0}
-134306	狠命	65536	29408	3	{d=0}
-134307	夹衣	65536	22841	3	{n=1}
-134308	受苦	65536	21463	3	{v=1}
-134309	游艺室	65536	186002	3	{n=0}
-134310	父兄	65536	29238	3	{n=0}
-134311	旱井	65536	26097	3	{n=0}
-134312	灰霉素	65536	187119	3	{n=0}
-134313	斯大	92588	26031	1	null
-134314	在野	76098	22312	2	{v=0, vn=0}
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-134316	淋洗	65536	28107	3	{n=0, v=0}
-134317	发晕	65536	21457	3	{v=0}
-134318	独步清流	65536	139640	3	{i=2}
-134319	思慕	65536	24605	3	{v=0}
-134320	头号	65536	22836	3	{b=7}
-134321	扬场	65536	25196	3	{v=0}
-134322	独生女	65536	192749	3	{n=0}
-134323	独生子女	109181	134799	2	{n=6}
-134324	独生子女户	65536	134323	3	{n=2}
-134325	独眼龙	65536	193290	3	{n=0}
-134326	独秀一	107802	193934	1	null
-134327	独秀一枝	65536	134326	3	{i=0}
-134328	所长	65536	25152	3	{n=41}
-134329	楚王	65536	26970	3	{n=0}
-134330	独立国家	65536	136120	3	{n=2}
-134331	杜梨	65536	26460	3	{n=0}
-134332	独立王国	65536	143430	3	{i=0}
-134333	独立自主	65536	147109	3	{i=22, l=0}
-134334	喷锚	65674	21943	1	null
-134335	如上	76838	22914	2	{b=0, d=0, v=0}
-134336	如下	65536	22914	3	{v=20, vn=5}
-134337	独联体	65536	195618	3	{j=73, ns=1, nz=3}
-134338	独脚戏	65536	195816	3	{n=0}
-134339	曙色	65536	26329	3	{n=3}
-134340	夹袄	65536	22841	3	{n=0}
-134341	客机	65536	23458	3	{n=21}
-134342	头名	65536	22836	3	{n=0}
-134343	独行侠	65536	197658	3	{n=0}
-134344	焚化	104152	28954	2	{v=1}
-134345	物质文	107663	170013	1	null
-134346	独裁者	65536	197775	3	{n=0}
-134347	普通股	65536	162865	3	{n=0}
-134348	旅行证	65536	152838	3	{n=0}
-134349	独词句	65536	198555	3	{n=0}
-134350	独身汉	65536	199289	3	{n=0}
-134351	独轮车	65536	199484	3	{n=0}
-134352	拦路	81777	25318	2	{v=0, vd=0, vn=0}
-134353	如东	80553	22914	1	null
-134354	扑通	65536	25169	3	{o=0}
-134355	名噪	73720	21517	1	null
-134356	差距	65536	24046	3	{n=60}
-134357	未知量	65536	145853	3	{n=0}
-134358	测力	107538	27979	1	null
-134359	独辟蹊	109909	199533	1	null
-134360	哀鸣	65536	21696	3	{v=0, vn=0}
-134361	独辟蹊径	65536	134359	3	{i=0}
-134362	独门独	109223	201142	1	null
-134363	吃荤	65536	21507	3	{v=0}
-134364	如丧	69222	22914	1	null
-134365	沂蒙	104438	27778	2	{n=0, ns=4}
-134366	独门独户	65536	134362	3	{l=1}
-134367	独角兽	65536	198048	3	{n=0}
-134368	滦平	110187	28390	2	{ns=0}
-134369	犹为	107620	29369	1	null
-134370	惹麻	84693	24825	1	null
-134371	独领风	94794	201812	1	null
-134372	独领风骚	65536	134371	3	{i=2}
-134373	独龙族	65536	203623	3	{nz=1}
-134374	吃药	65536	21507	3	{v=1}
-134375	狭心症	65536	139613	3	{n=0}
-134376	炎夏	65536	28814	3	{n=0}
-134377	如临	81940	22914	1	null
-134378	狭路相	97483	151433	1	null
-134379	夹被	65536	22841	3	{n=0}
-134380	死死的	65536	178633	3	{z=1}
-134381	狭路相逢	65536	134378	3	{i=0}
-134382	淘箩	65536	28120	3	{n=0}
-134383	狭隘性	65536	153650	3	{n=0}
-134384	朱批	65536	26417	3	{n=0}
-134385	师徒	65536	24072	3	{n=2}
-134386	围网	65536	22260	3	{n=1}
-134387	狮头鹅	65536	134849	3	{n=0}
-134388	哀鸿	65537	21696	1	null
-134389	狮泉河	65536	139862	3	{ns=0}
-134390	狮身人	95637	148536	1	null
-134391	狮身人面	113708	134390	1	null
-134392	文艺类	65536	180170	3	{n=1}
-134393	替罪	89316	26367	1	null
-134394	弹回	65536	24377	3	{v=0}
-134395	狮身人面像	65536	134391	3	{n=0}
-134396	狰狞	65536	29424	3	{a=2}
-134397	标识符	65536	164626	3	{n=0}
-134398	狸子	65536	29432	3	{n=0}
-134399	机制纸	65536	167311	3	{n=1}
-134400	狼吞虎	112708	150380	1	null
-134401	狼吞虎咽	65536	134400	3	{i=2}
-134402	富田	65536	23500	3	{nr=0}
-134403	截获	65536	25130	3	{v=3, vn=1}
-134404	古滨	65536	21476	3	{nr=0}
-134405	狼奔豕	103055	151714	1	null
-134406	毅然	105654	27589	2	{d=11}
-134407	枢轴	65536	26530	3	{n=0}
-134408	汽化	105933	27773	2	{v=0}
-134409	淋浴	108238	28107	2	{vn=1}
-134410	反正	65536	21453	3	{d=6}
-134411	巧辩	65536	24039	3	{v=0}
-134412	狮子头	65536	135389	3	{n=0}
-134413	犁地	65536	29313	3	{v=0}
-134414	比较法	65536	182481	3	{n=0}
-134415	怀抱	65536	24576	3	{n=13, v=4, vn=1}
-134416	狼奔豕突	65536	134405	3	{i=0}
-134417	狼子野	109906	152222	1	null
-134418	狭路相遇	65536	134378	3	{i=1}
-134419	湿地	65536	28287	3	{n=29}
-134420	出自	65536	20986	3	{v=11}
-134421	狼子野心	65536	134417	3	{i=0}
-134422	师德	65536	24072	3	{n=2}
-134423	歇工	65536	27463	3	{v=0}
-134424	狼尾草	65536	152460	3	{n=0}
-134425	狼山鸡	65536	152511	3	{n=0}
-134426	狱中	65536	29425	3	{s=3}
-134427	狼心狗	101476	153361	1	null
-134428	土党	75112	22303	1	null
-134429	淅淅	102522	28101	1	null
-134430	狼心狗肺	65536	134427	3	{i=0}
-134431	扭结	65536	25197	3	{v=0}
-134432	狼烟四	98225	157741	1	null
-134433	泛滥	103649	27867	2	{v=15, vn=2}
-134434	师心	75579	24072	1	null
-134435	槽牙	65536	27133	3	{n=0}
-134436	爪哇	65536	29226	3	{ns=0}
-134437	戏照	65536	25103	3	{n=0}
-134438	待考	65536	24453	3	{v=0}
-134439	浪漫性	65536	140887	3	{n=0}
-134440	狼烟四起	65536	134432	3	{i=0}
-134441	尽量	65536	23613	3	{d=24}
-134442	漠然视	111757	140793	1	null
-134443	狼牙山	65536	158119	3	{ns=1}
-134444	狼狈不	111875	158230	1	null
-134445	狼狈不堪	65536	134444	3	{i=0}
-134446	攻守	96446	25915	2	{n=1}
-134447	惨祸	65536	24808	3	{n=0}
-134448	旱伞	65536	26097	3	{n=0}
-134449	狼狈为奸	65536	134489	3	{i=0}
-134450	渐开	98430	28176	1	null
-134451	猎户座	65536	149761	3	{n=0}
-134452	猎潜艇	65536	153126	3	{n=0}
-134453	栗色	65536	26647	3	{n=0}
-134454	同房	65536	21516	3	{v=0}
-134455	猎鹰杯	65536	165178	3	{n=2, nz=0}
-134456	民间舞	104892	191771	2	{n=14}
-134457	悲怆	65536	24754	3	{a=1, ad=0}
-134458	猕猴	107769	29461	2	{n=0}
-134459	口红	65536	21475	3	{n=0}
-134460	猕猴桃	65536	134458	3	{n=1}
-134461	猖狂	65536	29462	3	{a=1, ad=0}
-134462	猛不防	65536	147614	3	{d=0}
-134463	猝不及	96016	134465	1	null
-134464	朱拉	84657	26417	1	null
-134465	猝不	113013	29469	1	null
-134466	猝不及防	65536	134463	3	{i=1}
-134467	猞猁	65536	29470	3	{n=0}
-134468	猢狲	65536	29474	3	{n=0}
-134469	漳州	107794	28467	2	{ns=20}
-134470	如云	65536	22914	3	{z=1}
-134471	猥亵罪	65536	134481	3	{n=0}
-134472	斯姆	97404	26031	1	null
-134473	末期	65536	26411	3	{f=5, t=0}
-134474	猩猩	100868	29481	2	{n=0}
-134475	名团	65536	21517	3	{n=2}
-134476	溜之	111218	28316	1	null
-134477	猩猩草	65536	134474	3	{n=0}
-134478	猩红热	65536	137411	3	{n=1}
-134479	四快	65536	22235	3	{j=0}
-134480	猪下水	65536	161654	3	{n=0}
-134481	猥亵	101853	29477	2	{v=0}
-134482	猪婆龙	65536	164785	3	{n=0}
-134483	套红	65536	22871	3	{v=1}
-134484	出航	65536	20986	3	{v=1}
-134485	取齐	65536	21462	3	{v=0}
-134486	团章	65536	22242	3	{n=0}
-134487	北约	65536	21271	3	{j=102}
-134488	扮鬼	81949	25198	1	null
-134489	狼狈为	111545	158230	1	null
-134490	加进	65536	21152	3	{v=0}
-134491	狮城	65536	29422	3	{n=0}
-134492	梯级	65536	26799	3	{n=2}
-134493	北纬	65536	21271	3	{b=4, n=1}
-134494	榴花	65536	27060	3	{n=0}
-134495	湍流	65536	28237	3	{n=1}
-134496	猪油果	65536	169508	3	{n=0}
-134497	摄谱	97221	25668	1	null
-134498	猪笼草	65536	173223	3	{n=0}
-134499	猪鬃草	65536	181358	3	{n=0}
-134500	授奖	65536	25480	3	{v=0, vn=0}
-134501	猫哭老	93767	135494	1	null
-134502	漏光	65536	28431	3	{v=0}
-134503	猫哭老鼠	65536	134501	3	{l=0}
-134504	猫头鹰	65536	136589	3	{n=0}
-134505	火山岛	65536	187104	3	{n=0}
-134506	汉语系	65536	182291	3	{n=2}
-134507	撩逗	65536	25769	3	{v=0}
-134508	猫耳洞	65536	146572	3	{n=0}
-134509	弹坑	65536	24377	3	{n=0}
-134510	旱作	65536	26097	3	{b=0, j=1, vn=0}
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-134512	政治经	90094	159752	1	null
-134513	溶岩	65536	28342	3	{n=0}
-134514	台盟	65536	21488	3	{j=5, nt=1}
-134515	猫鼠同	104021	154489	1	null
-134516	合江	65609	21512	2	{ns=0}
-134517	猫鼠同眠	65536	134515	3	{i=0}
-134518	声援	65536	22768	3	{v=4, vn=1}
-134519	火山岩	65536	187104	3	{n=0}
-134520	樊笼	65536	27146	3	{n=0}
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-134522	愚鲁	65536	24858	3	{a=0}
-134523	反比	72057	21453	2	{n=0}
-134524	华阳	65536	21326	3	{ns=0, nz=0}
-134525	犹他	65536	29369	3	{ns=0}
-134526	掉话	87204	25481	2	{v=3, vn=1}
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-134531	斯威	96348	26031	1	null
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-134533	墨鸦	65536	22696	3	{n=0}
-134534	内部	66471	20869	2	{f=181, n=0}
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-134536	挑大	89698	25361	1	null
-134537	华陀	65536	21326	3	{n=0}
-134538	献计献策	65536	134532	3	{l=4, v=1}
-134539	猴儿精	65536	134738	3	{n=0, z=0}
-134540	挑夫	65536	25361	3	{n=0}
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-134542	文明线	65536	172894	3	{n=2}
-134543	献血法	65536	152786	3	{n=2}
-134544	摘译	65536	25688	3	{v=1}
-134545	潜江市	65536	152914	3	{ns=0}
-134546	猴子面	113306	137315	1	null
-134547	客栈	65536	23458	3	{n=0}
-134548	民间艺	100721	191771	1	null
-134549	拐骗	86576	25296	2	{v=0}
-134550	插件	90822	25554	1	null
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-134553	加通	65540	21152	1	null
-134554	无功负	86237	173030	1	null
-134555	扫视	65536	25195	3	{v=0}
-134556	出色	65536	20986	3	{a=26, ad=4, an=1, v=1}
-134557	润泽	65536	28070	3	{a=0, an=0, v=1, vn=0}
-134558	加速	66640	21152	2	{v=55, vd=0, vn=2}
-134559	猴子面包	107919	134546	1	null
-134560	猴子面包树	65536	134559	3	{n=1}
-134561	步入	65536	27493	3	{v=36}
-134562	猴年马	108198	138119	1	null
-134563	南端	65536	21335	3	{f=2, s=1}
-134564	显山	82558	26174	1	null
-134565	撒娇	65536	25746	3	{v=1}
-134566	旨趣	65536	26088	3	{n=0}
-134567	海洋法	65536	191233	3	{n=1}
-134568	榫眼	65536	27051	3	{n=0}
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-134570	忠诚	87986	24544	2	{a=10, ad=1, an=3, v=6, vn=3}
-134571	悲恸	65536	24754	3	{a=0}
-134572	性欲	65536	24615	3	{n=1}
-134573	南竹	65536	21335	3	{n=0}
-134574	猴年马月	65536	134562	3	{l=0}
-134575	猴头菇	65536	136775	3	{n=0}
-134576	猴手猴	101531	139102	1	null
-134577	步兵	102087	27493	2	{n=1}
-134578	左撇	84888	24038	1	null
-134579	托拉	93415	25176	1	null
-134580	猴头菌	65536	136775	3	{n=0}
-134581	猴手猴脚	65536	134576	3	{l=0}
-134582	柔弱	65536	26580	3	{a=1}
-134583	易县	65536	26131	3	{ns=1}
-134584	淘米	98711	28120	1	null
-134585	发条	65536	21457	3	{n=0}
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-134587	爆发	112166	29190	2	{v=28, vn=0}
-134588	毁损	65536	27585	3	{v=0, vn=0}
-134589	发来	65536	21457	3	{v=1}
-134590	猴皮筋	65536	144321	3	{n=0}
-134591	旁岔	65536	26049	3	{n=0}
-134592	无线电话	65536	120269	3	{l=1}
-134593	猿人	65536	29503	3	{n=0}
-134594	军车	65536	20891	3	{n=3}
-134595	猿叶虫	65536	135933	3	{n=0}
-134596	基片	65536	22522	3	{n=4}
-134597	獐头鼠	104158	134605	1	null
-134598	测压	98012	27979	1	null
-134599	挨近	65536	25384	3	{v=0}
-134600	军转	66784	20891	2	{j=5, vn=0}
-134601	北缘	65536	21271	3	{f=2}
-134602	泻药	65536	27899	3	{n=0}
-134603	枯木逢	97978	140036	1	null
-134604	獐头鼠目	65536	134597	3	{i=0}
-134605	獐头	93861	29520	1	null
-134606	底本	65536	24213	3	{n=0}
-134607	操神	65536	25805	3	{a=0}
-134608	獠牙	65536	29536	3	{n=0}
-134609	獭兔	65536	29549	3	{n=0}
-134610	猖獗	65536	29462	3	{a=16, ad=1, an=0}
-134611	沟灌	65536	27807	3	{n=0}
-134612	玄之又	105042	139235	1	null
-134613	测厚	109462	27979	1	null
-134614	玄之又玄	65536	134612	3	{i=0}
-134615	玄明粉	65536	145318	3	{n=0}
-134616	玄武岩	65536	146686	3	{ns=0}
-134617	形式	91012	24418	2	{n=347}
-134618	漳平	65536	28467	3	{ns=1}
-134619	率先垂	101081	134693	1	null
-134620	率先垂范	65536	134619	3	{i=0, l=10}
-134621	率尔操	99332	137457	1	null
-134622	率尔操觚	65536	134621	3	{i=0}
-134623	率由旧	103170	143886	1	null
-134624	原籍	65536	21407	3	{n=1}
-134625	拖布	65536	25302	3	{n=0}
-134626	率由旧章	65536	134623	3	{i=0}
-134627	慢说	65536	24930	3	{c=0}
-134628	流浪者	65536	180293	3	{n=0}
-134629	悲悲	92256	24754	1	null
-134630	毁掉	65536	27585	3	{v=0}
-134631	出芽	65621	20986	2	{v=0}
-134632	玉兰片	65536	176562	3	{n=0}
-134633	反求	65664	21453	1	null
-134634	合法	71895	21512	2	{a=47, ad=0, an=1, vn=0}
-134635	名垂	72375	21517	1	null
-134636	玉叶金	108112	177208	1	null
-134637	玉叶金枝	65536	134636	3	{i=0}
-134638	分红	65536	20998	3	{n=2, v=0, vn=1}
-134639	玉宇琼	107636	179145	1	null
-134640	玉宇琼楼	65536	134639	3	{i=0}
-134641	玉峰山	65536	179506	3	{ns=0}
-134642	玉山县	65536	179379	3	{ns=1}
-134643	分级	65536	20998	3	{v=5, vn=0}
-134644	核电站	65536	176457	3	{n=58}
-134645	玉成其	114539	180818	1	null
-134646	玉成其事	65536	134645	3	{i=0}
-134647	玉林市	65536	182233	3	{ns=0}
-134648	玉树琼	101195	182355	1	null
-134649	拜师	65536	25308	3	{v=1}
-134650	渗透战	65536	147939	3	{n=2}
-134651	围聚	65536	22260	3	{v=0}
-134652	玉树琼花	65536	134648	3	{n=0}
-134653	玉洁冰	106497	183619	1	null
-134654	玉泉区	65536	183563	3	{ns=2}
-134655	执笔	65536	25191	3	{v=0}
-134656	披风	65536	25259	3	{n=0}
-134657	出苗	65536	20986	3	{v=0, vn=0}
-134658	口罩	65536	21475	3	{n=1}
-134659	敦请	65536	25958	3	{v=1}
-134660	拖带	65536	25302	3	{v=0}
-134661	易名	65536	26131	3	{v=0}
-134662	玉洁冰清	65536	134653	3	{i=0}
-134663	泉源	65536	27849	3	{n=0}
-134664	回师	65536	22238	3	{v=0}
-134665	沧江	65536	27815	3	{n=0}
-134666	如何	65536	22914	3	{r=278}
-134667	分线	65581	20998	1	null
-134668	沸水	65536	27832	3	{n=0}
-134669	怒目	90186	24594	1	null
-134670	玉液琼	106699	183796	1	null
-134671	步行街	65536	148616	3	{n=4}
-134672	分组	65536	20998	3	{n=0, v=0, vd=1, vn=5}
-134673	玉液琼浆	65536	134670	3	{i=0}
-134674	夹角	65536	22841	3	{n=0}
-134675	玉渊潭	65536	183884	3	{ns=0}
-134676	玉版宣	65536	184970	3	{n=0}
-134677	独立党	65536	194201	3	{n=1}
-134678	回帖	65536	22238	3	{n=0}
-134679	玉环县	65536	185329	3	{ns=6}
-134680	有口难	101178	176261	1	null
-134681	敬告	65536	25964	3	{v=0}
-134682	玉田县	65536	185714	3	{ns=0}
-134683	悲惨	88452	24754	2	{a=2}
-134684	玉皇大	110592	186057	1	null
-134685	玉皇大帝	65536	134684	3	{n=0}
-134686	爬墙	98928	29228	1	null
-134687	玉石俱	105734	186421	1	null
-134688	玉石俱焚	65536	134687	3	{i=0}
-134689	底板	65536	24213	3	{n=0}
-134690	玉米塘村	65536	134754	3	{ns=0}
-134691	玉茭皮	65536	189295	3	{n=1}
-134692	瀛州	93924	28699	2	{ns=0}
-134693	率先	112217	29575	2	{b=0, d=63, v=1}
-134694	彩团	65536	24425	3	{n=1}
-134695	玉虚洞	65536	190108	3	{ns=0}
-134696	玉蜀黍	65536	190274	3	{n=0}
-134697	派员	65536	27966	3	{n=2, v=3, vn=0}
-134698	玉门关	65536	194090	3	{ns=1}
-134699	后市	65536	21518	3	{n=1}
-134700	形形	77618	24418	1	null
-134701	樊篱	65536	27146	3	{n=0}
-134702	玉食锦	99791	194849	1	null
-134703	国乐	65536	22269	3	{n=0}
-134704	墨黑	65539	22696	2	{z=2}
-134705	梦游	94847	26790	2	{v=0}
-134706	玉食锦衣	65536	134702	3	{i=0}
-134707	掀风	76027	25472	1	null
-134708	悲愁	65536	24754	3	{a=0}
-134709	玉骨冰	101802	195306	1	null
-134710	玉骨冰肌	65536	134709	3	{i=0}
-134711	名城	65536	21517	3	{n=7}
-134712	王兆国	65536	163923	3	{nr=29}
-134713	王家堡村	65536	134912	3	{ns=0}
-134714	滨松	65536	28392	3	{nr=0}
-134715	形影	91048	24418	2	{n=1}
-134716	王家坝	65536	166595	3	{ns=2}
-134717	宝藏	65536	23453	3	{n=2}
-134718	王庄村	65536	167313	3	{ns=0}
-134719	北美	65539	21271	2	{ns=15}
-134720	王府井	65536	167337	3	{ns=5}
-134721	原粮	65536	21407	3	{n=0}
-134722	彩图	65536	24425	3	{n=1}
-134723	牢不	112187	29282	1	null
-134724	王母娘	111662	170714	1	null
-134725	国书	65536	22269	3	{n=1}
-134726	王母娘娘	65536	134724	3	{l=0}
-134727	奇数	65536	22855	3	{n=0}
-134728	王者师	65536	175890	3	{n=1}
-134729	南箕	69715	21335	1	null
-134730	王舍人	96516	176410	1	null
-134731	王舍人镇	65536	134730	3	{ns=2}
-134732	王谢堂	113664	178991	1	null
-134733	王谢堂前	105593	134732	1	null
-134734	王谢堂前燕	65536	134733	3	{l=1, n=0}
-134735	玛依莎	65536	134736	3	{nz=0}
-134736	玛依	101057	29595	1	null
-134737	捞钱	65536	25438	3	{v=1}
-134738	猴儿	102605	29492	2	{n=0}
-134739	波斯猫	65536	158106	3	{n=0}
-134740	玛纳斯	65536	146790	3	{ns=1}
-134741	图纸	65536	22270	3	{n=0}
-134742	合流	65536	21512	3	{v=0, vn=0}
-134743	悲愤	65536	24754	3	{a=0, ad=0, an=1}
-134744	滥套	108235	28389	1	null
-134745	玛雅人	65536	152952	3	{nz=0}
-134746	玩世不	110068	148359	1	null
-134747	审问	72853	23457	2	{v=0}
-134748	捕鼠	94516	25429	1	null
-134749	晕船	65536	26197	3	{v=0}
-134750	奇文	80251	22855	1	null
-134751	榴莲	98889	27060	2	{n=0}
-134752	桃子	65536	26691	3	{n=0}
-134753	玩世不恭	65536	134746	3	{i=0}
-134754	玉米塘	108241	187573	1	null
-134755	差转	65536	24046	3	{vn=2}
-134756	涂抹	65536	28034	3	{v=0}
-134757	拜年	95855	25308	2	{v=95, vn=4}
-134758	玩儿不	98049	149168	1	null
-134759	扬声	92860	25196	1	null
-134760	拖床	65536	25302	3	{n=0}
-134761	濮阳市	65536	132129	3	{ns=0}
-134762	国事	65784	22269	2	{n=0}
-134763	名堂	65536	21517	3	{n=3}
-134764	橘红	92269	27224	2	{b=0}
-134765	玩儿不转	65536	134758	3	{l=0}
-134766	洞库	65536	27934	3	{n=0}
-134767	玩具店	65536	149224	3	{n=1}
-134768	玩忽职	111340	152942	1	null
-134769	特大型	65536	180074	3	{b=7, n=1}
-134770	审阅	65536	23457	3	{v=0, vn=0}
-134771	可溶	68234	21487	1	null
-134772	玩忽职守	102000	134768	2	{i=5}
-134773	玩忽职守者	65536	134772	3	{n=1}
-134774	泪光	65536	27882	3	{n=0}
-134775	玩手段	65536	153532	3	{l=0}
-134776	玩火自	105828	157148	1	null
-134777	满腹经	99153	181970	1	null
-134778	拱门	65536	25329	3	{n=0}
-134779	合浦	65573	21512	1	null
-134780	橙红	92270	27225	1	null
-134781	扎糊	65536	25166	3	{v=2}
-134782	玩火自焚	65536	134776	3	{i=0}
-134783	文昌鱼	65536	172892	3	{n=1}
-134784	玩物丧	110250	157658	1	null
-134785	玩物丧志	65536	134784	3	{i=0}
-134786	玫瑰	112541	29611	2	{n=2}
-134787	国交	65536	22269	3	{n=0}
-134788	淋巴细	97361	130441	1	null
-134789	环保局	65536	156727	3	{n=25}
-134790	国产	75103	22269	2	{b=42, n=3, vn=0}
-134791	环城路	65536	158760	3	{n=1}
-134792	洞庭	101082	27934	2	{ns=0}
-134793	环境署	65536	158941	3	{n=0}
-134794	玫瑰园	65536	134786	3	{n=0}
-134795	澳大	111022	28595	1	null
-134796	河北杨	65536	163868	3	{n=0}
-134797	环委会	65536	159278	3	{j=0}
-134798	性气	65536	24615	3	{n=0}
-134799	独生子	111424	192749	2	{n=2}
-134800	沸沸	103232	27832	1	null
-134801	淋巴结	101542	130441	2	{n=1}
-134802	拾零	65536	25342	3	{v=0}
-134803	环氧树	101780	163969	1	null
-134804	回应	65536	22238	3	{v=13, vn=12}
-134805	玩花招	65536	161826	3	{l=0}
-134806	环氧树脂	65536	134803	3	{n=0}
-134807	环状软	95216	165648	1	null
-134808	环状软骨	65536	134807	3	{l=0}
-134809	国人	65536	22269	3	{n=9}
-134810	环环相	109624	165897	1	null
-134811	环环相扣	65536	134810	3	{l=2}
-134812	环绕速	110585	168751	1	null
-134813	后年	65536	21518	3	{t=0}
-134814	机动费	65536	167425	3	{n=0}
-134815	环绕速度	65536	134812	3	{l=0}
-134816	发案	70174	21457	2	{v=1, vn=2}
-134817	沸泉	65536	27832	3	{n=0}
-134818	喷雾	73197	21943	1	null
-134819	游泳池	65536	180491	3	{n=0}
-134820	煅石	104228	28997	1	null
-134821	环节动	105536	169692	1	null
-134822	橘络	65536	27224	3	{n=0}
-134823	爱国华	112973	180126	1	null
-134824	淋漓	106747	28107	2	{a=0, v=1, z=1}
-134825	环节动物	65536	134821	3	{l=0}
-134826	环行线	65536	171174	3	{n=0}
-134827	复垦	65536	22797	3	{v=12, vn=17}
-134828	柔性	65536	26580	3	{n=1}
-134829	日照计	65536	175036	3	{n=0}
-134830	环资委	65536	172446	3	{j=0}
-134831	河西村	65536	177796	3	{ns=2}
-134832	现代主义	65536	135256	3	{n=1}
-134833	现在时	65536	176087	3	{n=0}
-134834	各自	73069	21508	2	{r=63}
-134835	原素	65536	21407	3	{n=1}
-134836	牟平城	65536	136853	3	{ns=3}
-134837	原索	70187	21407	1	null
-134838	现大洋	65536	176598	3	{n=0}
-134839	围脖	65536	22260	3	{n=0}
-134840	底栖	79858	24213	1	null
-134841	前行	65536	21069	3	{v=3, vn=0}
-134842	汽化热	65536	134408	3	{n=0}
-134843	现场会	65536	176105	3	{n=2}
-134844	现如今	65536	176689	3	{t=1}
-134845	审限	65536	23457	3	{j=0}
-134846	分署	65536	20998	3	{n=0}
-134847	密执	82634	23494	1	null
-134848	现实主义	102084	134874	2	{n=12}
-134849	狮头	93870	29422	1	null
-134850	备齐	65536	22791	3	{v=1}
-134851	团籍	65536	22242	3	{n=0}
-134852	前街	67139	21069	1	null
-134853	景仰	65536	26223	3	{v=7, vn=0}
-134854	套耕	65536	22871	3	{v=0}
-134855	土包	73179	22303	2	{n=0}
-134856	惨笑	65536	24808	3	{v=0}
-134857	现实主义者	65536	134848	3	{n=1}
-134858	回廊	65536	22238	3	{n=0}
-134859	形态	89524	24418	2	{n=24}
-134860	末梢	91955	26411	2	{n=0}
-134861	现当代	65536	178178	3	{j=0, t=1}
-134862	现成话	65536	178879	3	{n=0}
-134863	现政府	65536	179694	3	{n=8}
-134864	后座	65536	21518	3	{n=0}
-134865	现时代	65536	179877	3	{t=1}
-134866	征丁	65536	24449	3	{v=1}
-134867	现洋钱	65536	181690	3	{n=0}
-134868	拖延	65536	25302	3	{v=18, vn=0}
-134869	意志	79468	24847	2	{n=25}
-134870	游击战	110952	173587	2	{n=8}
-134871	现浇板	65536	181750	3	{n=0}
-134872	封斋	65536	23553	3	{n=2}
-134873	单科	65536	21333	3	{b=0}
-134874	现实主	114807	177229	1	null
-134875	洞开	65536	27934	3	{v=2}
-134876	现行犯	65536	188667	3	{n=0}
-134877	炫耀	65536	28843	3	{v=4}
-134878	族规	65536	26063	3	{n=0}
-134879	现象学	65536	189712	3	{n=1}
-134880	国企	65536	22269	3	{j=30}
-134881	现身说	107022	190298	1	null
-134882	扩音	92827	25193	1	null
-134883	现身说法	65536	134881	3	{i=3}
-134884	左方	65536	24038	3	{f=0}
-134885	反派	65536	21453	3	{n=0}
-134886	现金账	65536	191104	3	{n=0}
-134887	棒球	102805	26834	2	{n=0}
-134888	放映队	65536	166696	3	{n=1}
-134889	燃烧器	65536	136798	3	{n=2}
-134890	撤离	65536	25764	3	{v=9}
-134891	现阶段	65536	192229	3	{t=12}
-134892	土匪	65536	22303	3	{n=0}
-134893	玲珑	113819	29618	2	{a=1, an=0}
-134894	忠贞	92236	24544	2	{a=2, n=1}
-134895	玲珑剔	98022	134893	1	null
-134896	商水	73597	21830	1	null
-134897	昏愦	65536	26127	3	{a=0}
-134898	并存	65536	24182	3	{v=19, vn=1}
-134899	意念	65536	24847	3	{n=3}
-134900	牙周病	65536	164815	3	{n=0}
-134901	玲珑剔透	65536	134895	3	{i=0}
-134902	悬案	65536	24748	3	{n=1}
-134903	国优	65536	22269	3	{b=0}
-134904	抓紧	65536	25235	3	{v=43, vd=0}
-134905	国会	72663	22269	2	{n=65}
-134906	发梢	65536	21457	3	{n=0}
-134907	活化资	103035	173653	1	null
-134908	库里	83346	24211	1	null
-134909	密报	65536	23494	3	{n=1}
-134910	玳瑁	65536	29619	3	{n=0}
-134911	团粉	65536	22242	3	{n=0}
-134912	王家堡	108264	166595	1	null
-134913	工作证	65536	149420	3	{n=3}
-134914	火药库	65536	197086	3	{n=1}
-134915	玷污	65536	29623	3	{v=1, vn=0}
-134916	玻利维	114796	134917	1	null
-134917	玻利	102416	29627	1	null
-134918	玻利维亚	65536	134916	3	{ns=1}
-134919	玻璃纤维	65536	153389	3	{l=0}
-134920	团粒	65536	22242	3	{n=0}
-134921	犟嘴	65536	29343	3	{v=0}
-134922	军邮	65536	20891	3	{n=0}
-134923	斯安	65536	26031	3	{nz=0}
-134924	珀思	65536	29632	3	{n=0}
-134925	浩大	65536	28009	3	{a=2}
-134926	处警	65536	22788	3	{v=0}
-134927	弹壳	65536	24377	3	{n=0}
-134928	湘乡	107105	28248	2	{ns=2}
-134929	犁头	65536	29313	3	{n=0}
-134930	珀金斯	65536	147648	3	{nz=3}
-134931	单程	65542	21333	2	{n=4}
-134932	朝阳花	65536	171470	3	{n=0}
-134933	珂罗	105678	29634	1	null
-134934	珂罗版	65536	134933	3	{n=0}
-134935	漏勺	65536	28431	3	{n=0}
-134936	珊瑚	111264	29642	2	{n=4}
-134937	氧化汞	65536	127586	3	{n=0}
-134938	珍宝岛	65536	146263	3	{ns=0}
-134939	意思	65536	24847	3	{n=16, v=3, vn=0}
-134940	昂首	95371	26114	2	{v=2, vd=0}
-134941	圆脸	65536	22278	3	{n=0}
-134942	巨款	65536	24040	3	{n=9}
-134943	润湿	65536	28070	3	{a=0, v=0}
-134944	溶解油	65536	146091	3	{n=0}
-134945	沧海	108400	27815	2	{n=1}
-134946	和面	68066	21644	2	{v=4}
-134947	珍禽异	114087	153975	1	null
-134948	珍禽异兽	65536	134947	3	{i=0}
-134949	泡沫橡	95757	133690	1	null
-134950	民族形	102735	179446	1	null
-134951	渝州	65536	28189	3	{ns=0}
-134952	爆炸声	65536	141986	3	{n=0}
-134953	熬心	65536	29100	3	{a=0}
-134954	珍藏版	65536	157065	3	{n=1}
-134955	注射液	65536	144228	3	{n=0}
-134956	珍贵性	65536	158959	3	{n=2}
-134957	土卫	75712	22303	1	null
-134958	汞溴	95478	27742	1	null
-134959	悬梁	92162	24748	2	{v=0}
-134960	柠檬酸	65536	124225	3	{n=0}
-134961	珐琅	98830	29648	2	{n=0}
-134962	国体	65536	22269	3	{n=0}
-134963	桀骜	104764	26688	1	null
-134964	拦道	89753	25318	1	null
-134965	状告	65536	29366	3	{v=3}
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-134967	珙县	65536	29657	3	{ns=2}
-134968	珍珠梅	65536	152474	3	{n=0}
-134969	珞巴	108911	29662	1	null
-134970	各色	72944	21508	2	{r=4}
-134971	珊瑚岛	65536	134936	3	{n=0}
-134972	猜中	65536	29468	3	{v=0}
-134973	演奏家	65536	147935	3	{n=7}
-134974	珞巴族	65536	134969	3	{nz=1}
-134975	珠光宝	107309	137882	1	null
-134976	湘云	65536	28248	3	{ns=0}
-134977	珠光宝气	65536	134975	3	{i=0}
-134978	柴禾	65536	26612	3	{n=0}
-134979	声旁	65536	22768	3	{n=0}
-134980	军部	65536	20891	3	{n=2}
-134981	珠圆玉	106920	139351	1	null
-134982	奇景	65536	22855	3	{n=3}
-134983	演唱家	65536	146881	3	{n=0}
-134984	公顷	65536	20844	3	{q=17}
-134985	敞车	65536	25950	3	{n=0}
-134986	柔情	103911	26580	2	{a=0, n=3}
-134987	加里	65959	21152	1	null
-134988	加重	65536	21152	3	{v=21, vd=0, vn=0}
-134989	悲戚	65536	24754	3	{a=1, n=0}
-134990	珠圆玉润	65536	134981	3	{i=0}
-134991	张扬	65536	24352	3	{nr=0, v=3, vn=2}
-134992	弹头	65536	24377	3	{n=6}
-134993	珠泪盈	104491	144955	1	null
-134994	回归	67214	22238	2	{nz=0, v=97, vn=7}
-134995	有志者	102150	179321	2	{n=1}
-134996	名士	65536	21517	3	{n=0}
-134997	弹夹	65536	24377	3	{n=0}
-134998	检疫站	65536	141899	3	{n=4}
-134999	按脉	65536	25353	3	{v=0}
-135000	南粤	65536	21335	3	{ns=1, nz=1}
-135001	名声	70876	21517	2	{n=5}
-135002	差遣	65536	24046	3	{v=0}
-135003	淡泊明	105864	155040	1	null
-135004	珠宝商	65536	140526	3	{n=0}
-135005	悬梯	65536	24748	3	{n=1}
-135006	污染源	65536	136777	3	{n=5}
-135007	慢走	65536	24930	3	{v=1}
-135008	拟订	65536	25311	3	{v=4}
-135009	珠泪盈眶	65536	134993	3	{l=0}
-135010	回形	65540	22238	1	null
-135011	珠海市	65536	145096	3	{ns=0}
-135012	珠穆朗	105419	148375	1	null
-135013	爱国同	100376	180126	1	null
-135014	珠穆朗玛	111225	135012	2	{ns=1}
-135015	出落	65536	20986	3	{v=1}
-135016	浩如	100926	28009	1	null
-135017	珠穆朗玛峰	65536	135014	3	{ns=3}
-135018	欲盖	101508	27442	1	null
-135019	弹奏	65536	24377	3	{v=2}
-135020	拟议	65536	25311	3	{v=0}
-135021	涮羊	97370	28078	1	null
-135022	珠联璧	113512	149925	1	null
-135023	栾老	101205	26686	2	{ns=5}
-135024	珠联璧合	65536	135022	3	{i=1}
-135025	润滑	109184	28070	2	{vn=0}
-135026	珥陵	96813	29669	1	null
-135027	子弟	83632	23376	2	{n=7}
-135028	珥陵镇	65536	135026	3	{ns=0}
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-135030	班克斯	112419	148431	1	null
-135031	指挥部	65536	155722	3	{n=30}
-135032	扬威	65536	25196	3	{v=2, vn=0}
-135033	橡皮泥	65536	132644	3	{n=0}
-135034	子弦	65536	23376	3	{n=0}
-135035	班克斯塘	65536	135030	3	{ns=0}
-135036	喜盈	65784	21916	1	null
-135037	班加罗	111466	148772	1	null
-135038	班加罗尔	65536	135037	3	{ns=0}
-135039	班禅额	111470	158729	1	null
-135040	款物	65536	27454	3	{j=0, n=4}
-135041	幽深	65536	24189	3	{a=1, an=0}
-135042	班禅额尔	110540	135039	1	null
-135043	班禅额尔德	111433	135042	1	null
-135044	教育部	65536	171358	3	{n=0, nt=1}
-135045	班禅额尔德尼	65536	135043	3	{n=0}
-135046	班组长	65536	160072	3	{j=0}
-135047	班门弄	109025	165996	1	null
-135048	班门弄斧	65536	135047	3	{i=0}
-135049	果子露	65536	165246	3	{n=0}
-135050	棕熊	65536	26837	3	{n=0}
-135051	坐牢	65536	22352	3	{v=3}
-135052	珲春	110988	29682	2	{ns=0}
-135053	子弹	71617	23376	2	{n=3}
-135054	珲春市	65536	135052	3	{ns=0}
-135055	拾音	94131	25342	1	null
-135056	声明	77880	22768	2	{n=77, v=11, vn=1}
-135057	民粹派	65536	185312	3	{n=0}
-135058	圣旨	65536	22307	3	{n=1}
-135059	球墨铸	96979	176582	1	null
-135060	球墨铸铁	65536	135059	3	{l=0}
-135061	彩塑	65536	24425	3	{n=0}
-135062	斯尔	91514	26031	1	null
-135063	条块结	102087	154484	1	null
-135064	球报杯	65536	179139	3	{nz=0}
-135065	球磨机	65536	184838	3	{n=0}
-135066	后影	65536	21518	3	{n=0}
-135067	孤行	79479	23396	1	null
-135068	球类室	65536	185753	3	{n=2}
-135069	球茎甘	101057	187436	1	null
-135070	球茎甘蓝	65536	135069	3	{l=0}
-135071	球蛋白	65536	188393	3	{n=1}
-135072	熔剂	65536	29076	3	{n=0}
-135073	歇息	65536	27463	3	{v=1}
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-135075	控制线	65536	117157	3	{n=0}
-135076	捏闸	65536	25423	3	{v=0}
-135077	法国法	91615	177465	1	null
-135078	球轴承	65536	190610	3	{n=0}
-135079	才智	65536	25165	3	{n=3}
-135080	满目苍	110636	179271	1	null
-135081	球面几何	65536	135087	3	{n=0}
-135082	河北梆	105000	163868	1	null
-135083	戏班	65536	25103	3	{n=0}
-135084	水族馆	65536	187019	3	{n=0}
-135085	暮色	65536	26286	3	{n=2}
-135086	泥浆池	65536	170261	3	{n=0}
-135087	球面几	114772	192640	1	null
-135088	消化道	65536	174065	3	{n=0}
-135089	挑子	65536	25361	3	{n=0}
-135090	最大	100706	26368	1	null
-135091	琅琅	115115	29701	1	null
-135092	招待饭	65536	147325	3	{n=0}
-135093	琅琅上	113620	135091	1	null
-135094	发楞	65536	21457	3	{v=0}
-135095	琅琅上口	65536	135093	3	{i=1}
-135096	挑字	85928	25361	1	null
-135097	斥责	65536	26021	3	{v=1}
-135098	土司	65536	22303	3	{n=0}
-135099	理屈词穷	65536	135113	3	{i=0}
-135100	理屈辞穷	65536	136090	3	{i=1}
-135101	喜眉	65568	21916	1	null
-135102	理发业	65536	175603	3	{n=0}
-135103	理学士	65536	177544	3	{n=0}
-135104	国信	65536	22269	3	{nz=0}
-135105	沧海桑	98358	134945	1	null
-135106	旱冰	98322	26097	2	{n=0}
-135107	回心	65601	22238	1	null
-135108	理事会	65536	174253	3	{n=39}
-135109	烦乱	65536	28902	3	{a=1}
-135110	回忆	71724	22238	2	{v=25, vd=0, vn=14}
-135111	增生	65536	22686	3	{v=0, vn=0}
-135112	理工学院	65536	135117	3	{n=7}
-135113	理屈词	103748	177770	1	null
-135114	杭纺	65536	26477	3	{n=0}
-135115	理当如	107626	178549	1	null
-135116	前襟	65536	21069	3	{n=0}
-135117	理工学	96614	178183	1	null
-135118	理当如此	65536	135115	3	{l=0}
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-135120	理性认识	65536	135119	3	{l=0}
-135121	富矿	75454	23500	2	{n=0}
-135122	枯叶	89562	26543	2	{n=0}
-135123	单立	70482	21333	1	null
-135124	流行病	65536	187175	3	{n=0}
-135125	沾染	65536	27838	3	{v=1}
-135126	烽火山	65536	132941	3	{ns=0}
-135127	商洛	65536	21830	3	{ns=1}
-135128	增田	67864	22686	1	null
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-135130	斥资	65536	26021	3	{v=4}
-135131	理想化	65536	178965	3	{a=1, v=0, vn=0}
-135132	无以言	90448	172076	1	null
-135133	撒尿	65536	25746	3	{v=0}
-135134	师承	65536	24072	3	{v=0, vn=0}
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-135136	氧炔	105758	27687	1	null
-135137	征伐	65536	24449	3	{v=0}
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-135140	理所应	110732	179298	1	null
-135141	张挂	65536	24352	3	{v=0}
-135142	理所当然	65536	135331	3	{i=5}
-135143	理直气	112380	184598	1	null
-135144	爬山赛	65536	135670	3	{n=0}
-135145	獐子	65536	29520	3	{n=0}
-135146	理直气壮	65536	135143	3	{i=1}
-135147	民族性	65536	179446	3	{n=3}
-135148	彩墨	81041	24425	1	null
-135149	口腔	69324	21475	2	{n=3}
-135150	熨斗	65536	29096	3	{n=0}
-135151	理科生	65536	185331	3	{n=0}
-135152	理解力	65536	189445	3	{n=0}
-135153	意想	93670	24847	2	{v=0}
-135154	理论工作	102384	138660	1	null
-135155	复壮	65536	22797	3	{v=0}
-135156	发榜	65536	21457	3	{v=0}
-135157	理论工作者	65536	135154	3	{n=5}
-135158	琢磨	115186	29730	2	{v=5}
-135159	检字	97180	26816	1	null
-135160	油气流	65536	186252	3	{n=2}
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-135162	密探	65536	23494	3	{n=0}
-135163	理论值	65536	189916	3	{n=0}
-135164	理货单	65536	190281	3	{n=0}
-135165	商流	65536	21830	3	{j=4}
-135166	朱文	65536	26417	3	{n=0}
-135167	琢磨不	98291	135158	1	null
-135168	歌舞片	65536	168723	3	{n=0}
-135169	琉球	65536	29705	3	{ns=0}
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-135171	圆舞	70190	22278	1	null
-135172	琥珀	97934	29733	2	{n=0}
-135173	插入	81428	25554	2	{v=0}
-135174	琥珀酸	65536	135172	3	{n=0}
-135175	琦玉	113738	29734	1	null
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-135178	琳琅	106794	29747	1	null
-135179	琳琅满	104738	135178	1	null
-135180	映衬	65536	26144	3	{v=3, vn=0}
-135181	滴滴答	100093	145209	1	null
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-135183	欧亚	65536	27431	3	{nz=0}
-135184	琳琅满目	65536	135179	3	{i=12}
-135185	琉璃厂	65536	135297	3	{ns=2}
-135186	口腹	65536	21475	3	{n=0}
-135187	气势磅	96146	177164	1	null
-135188	晶莹	100484	26230	2	{a=9, an=1}
-135189	琴棋书	105181	142020	1	null
-135190	琐事	65536	29712	3	{n=2}
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-135192	琴棋书画	65536	135189	3	{i=0}
-135193	国债	75283	22269	2	{n=23}
-135194	琵琶	95604	29749	2	{n=1}
-135195	毛巾衫	65536	173821	3	{n=0}
-135196	琵琶骨	65536	135194	3	{n=0}
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-135198	琼斯伯	114000	140437	1	null
-135199	柜组	85947	26588	1	null
-135200	托收	65536	25176	3	{v=7, vn=4}
-135201	满目荆	104545	179271	1	null
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-135203	双立	71278	21452	1	null
-135204	琼枝玉	113711	140931	1	null
-135205	琼枝玉叶	65536	135204	3	{l=0}
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-135207	德令	89870	24503	1	null
-135208	琼浆玉露	65536	135206	3	{i=0}
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-135210	琼海市	65536	142429	3	{ns=0}
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-135212	柱花	90657	26609	1	null
-135213	瑕不掩	105428	135214	1	null
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-135218	涉农	65536	28041	3	{j=0, v=0, vn=1}
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-135221	救济金	65536	148171	3	{n=9}
-135222	有限花	98401	193266	1	null
-135223	瑕瑜互见	65536	135217	3	{i=0}
-135224	毫不犹	90984	132648	1	null
-135225	戒酒	65536	25106	3	{v=0}
-135226	和顺	73056	21644	2	{a=0, ns=0}
-135227	瑙鲁	65536	29785	3	{n=0}
-135228	炕几	65536	28821	3	{n=0}
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-135231	汝窑	65536	27741	3	{nz=0}
-135232	独立厅	65536	194201	3	{ns=0}
-135233	瑞丽市	65536	136580	3	{ns=3}
-135234	瑞典语	65536	137407	3	{nz=0}
-135235	植皮	65536	26893	3	{v=0}
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-135237	怀旧	65536	24576	3	{v=0, vn=1}
-135238	沈泉	103940	27784	1	null
-135239	瑞士法郎	65536	135236	3	{n=0, q=0}
-135240	才望	65536	25165	3	{n=0}
-135241	狮子山	65536	135389	3	{ns=1}
-135242	溜光	65536	28316	3	{z=0}
-135243	瑞气盈	96869	144219	1	null
-135244	废掉	65536	24223	3	{v=0}
-135245	瑞气盈门	65536	135243	3	{i=0}
-135246	新闻社	65536	189751	3	{n=1}
-135247	染房	65536	26579	3	{n=0}
-135248	瑞金市	65536	153880	3	{ns=0}
-135249	瑞雪兆	115235	155185	1	null
-135250	原线	69068	21407	1	null
-135251	瑞雪兆丰	111072	135249	1	null
-135252	瑞雪兆丰年	65536	135251	3	{i=2, n=0}
-135253	瑟瑟	65536	29791	3	{z=1}
-135254	瑶族乡	65536	141405	3	{ns=0}
-135255	公馆	65536	20844	3	{n=0}
-135256	现代主	114791	173970	1	null
-135257	瑰丽	65536	29808	3	{z=5}
-135258	字画	65536	23383	3	{n=3}
-135259	毛巾被	65536	173821	3	{n=0}
-135260	和颜	69755	21644	1	null
-135261	璀璨	112424	29824	2	{z=6}
-135262	未了	65536	26410	3	{v=1, vn=0}
-135263	琴书	65536	29748	3	{n=0}
-135264	浪头	65536	28010	3	{n=2, ns=0}
-135265	敏锐	65536	25935	3	{a=2, ad=0, an=2}
-135266	璀璨夺	104824	135261	1	null
-135267	特困县	65536	179507	3	{n=1}
-135268	洞悉	65536	27934	3	{v=0}
-135269	挑射	65536	25361	3	{v=0}
-135270	璀璨夺目	65536	135266	3	{l=1}
-135271	拆散	65536	25286	3	{v=1}
-135272	璎珞	65536	29838	3	{n=1}
-135273	惠顾	65536	24800	3	{v=0}
-135274	璜塘	97060	29852	1	null
-135275	璜塘镇	65536	135274	3	{ns=0}
-135276	橡胶	99038	27233	2	{n=7}
-135277	前言	68678	21069	2	{n=0}
-135278	左权	86826	24038	2	{ns=0}
-135279	狗尾草	65536	151760	3	{n=0}
-135280	璞玉	107298	29854	1	null
-135281	旅行车	65536	152838	3	{n=0}
-135282	歙砚	65536	27481	3	{n=0}
-135283	璞玉浑	97961	135280	1	null
-135284	熔化	106747	29076	2	{v=0}
-135285	特遣队	65536	194214	3	{n=0}
-135286	有机磷	65536	181212	3	{n=1}
-135287	台秤	65536	21488	3	{n=0}
-135288	彩头	65536	24425	3	{n=0}
-135289	张掖	86553	24352	2	{ns=6}
-135290	璞玉浑金	65536	135283	3	{i=0}
-135291	璧谢	65536	29863	3	{v=0}
-135292	瓜亚基	111724	137210	1	null
-135293	夏洛	69737	22799	1	null
-135294	无人过	81410	172033	1	null
-135295	检察	103476	26816	2	{b=39, n=0, vn=0}
-135296	瓜亚基尔	65536	135292	3	{ns=0}
-135297	琉璃	113807	29705	2	{n=0}
-135298	发横	65642	21457	2	{v=0}
-135299	怀春	65536	24576	3	{v=1}
-135300	炼丹	106216	28860	2	{v=0}
-135301	古物	65536	21476	3	{n=0}
-135302	口臭	65536	21475	3	{n=0}
-135303	夏津	77605	22799	2	{ns=0}
-135304	瓜分豆	114228	138086	1	null
-135305	民族情	65536	179446	3	{n=3}
-135306	瓜分豆剖	65536	135304	3	{i=0}
-135307	瓜剖豆	114310	138166	1	null
-135308	瓜剖豆分	65536	135307	3	{i=0}
-135309	封杀	65536	23553	3	{v=0}
-135310	和风	65805	21644	2	{n=0}
-135311	瓜子仁	65536	140464	3	{n=0}
-135312	瓜熟蒂	101460	146175	1	null
-135313	瓜熟蒂落	65536	135312	3	{i=1}
-135314	瓜田李	115337	147088	1	null
-135315	斜拉	92258	26012	1	null
-135316	瓜田李下	65536	135314	3	{i=0}
-135317	显形	65536	26174	3	{v=0}
-135318	瓜皮帽	65536	147470	3	{n=0}
-135319	瓢泼大	96689	135320	1	null
-135320	瓢泼	112496	29922	1	null
-135321	瓢泼大雨	65536	135319	3	{i=0}
-135322	瓣膜	65536	29923	3	{n=0}
-135323	渔人得	109867	156693	1	null
-135324	测绘板	65536	145683	3	{n=0}
-135325	声望	65536	22768	3	{n=6}
-135326	扶强	65536	25206	3	{v=0}
-135327	瓤子	65536	29924	3	{n=1}
-135328	海防林	65536	201768	3	{n=0}
-135329	瓦加杜	113854	165348	1	null
-135330	瓦加杜古	65536	135329	3	{ns=0}
-135331	理所当	106160	179298	1	null
-135332	显影	100254	26174	2	{v=0, vn=0}
-135333	口舌	65536	21475	3	{n=2}
-135334	瓦努阿	113066	165358	1	null
-135335	昆虫	97388	26118	2	{n=1}
-135336	瓦努阿图	114488	135334	1	null
-135337	瓦努阿图共	113695	135336	1	null
-135338	摩擦音	65536	131174	3	{n=0}
-135339	瓦努阿图共和	113072	135337	1	null
-135340	旁征	98326	26049	1	null
-135341	瓦努阿图共和国	65536	135339	3	{ns=0}
-135342	封条	65536	23553	3	{n=1}
-135343	如出	82037	22914	1	null
-135344	同方	72091	21516	2	{nz=4}
-135345	溜冰	108944	28316	2	{v=0, vn=0}
-135346	瓦尔登	107101	167768	1	null
-135347	瓦尔登湖	65536	135346	3	{ns=6}
-135348	瓦戈庄	97135	169292	1	null
-135349	摩电	88810	25705	1	null
-135350	瓦戈庄镇	65536	135348	3	{ns=0}
-135351	帮闲	65536	24110	3	{n=0}
-135352	瓦房店	111288	169347	2	{n=0}
-135353	文明自	88337	172894	1	null
-135354	瓦房店市	65536	135352	3	{ns=1}
-135355	瓦斯炉	65536	170227	3	{n=0}
-135356	播送	65536	25773	3	{v=0}
-135357	后悔	65546	21518	2	{a=0, v=3, vn=1}
-135358	炼乳	65536	28860	3	{n=0}
-135359	瓦窑堡	65536	175573	3	{ns=0}
-135360	瓦莱塔	65536	177909	3	{ns=3}
-135361	烫头	65536	28907	3	{v=0}
-135362	瓦楞子	65536	171170	3	{n=0}
-135363	瓦解冰	107324	179495	1	null
-135364	瓦解冰消	65536	135363	3	{i=0}
-135365	瓦釜雷	94886	181536	1	null
-135366	带资	65536	24102	3	{v=1}
-135367	扬子	87243	25196	2	{nz=0}
-135368	欧体	65536	27431	3	{n=0}
-135369	瓦釜雷鸣	65536	135365	3	{i=0}
-135370	显得	65536	26174	3	{v=49}
-135371	机动车	65536	167425	3	{n=17}
-135372	后患	67836	21518	2	{n=0}
-135373	施压	65536	26045	3	{j=0, v=2, vn=1}
-135374	沽源	107146	27837	1	null
-135375	单篇	65536	21333	3	{n=0}
-135376	意懒	89140	24847	1	null
-135377	瓮中之	95230	135395	1	null
-135378	挡风	93820	25377	2	{v=0, vn=0}
-135379	消化酶	65536	174065	3	{n=0}
-135380	瓮中之鳖	65536	135377	3	{i=0}
-135381	瓮中捉鳖	65536	140751	3	{i=0}
-135382	变蛋	65536	21464	3	{n=0}
-135383	现代人	65536	173970	3	{n=5}
-135384	复姓	65536	22797	3	{n=0}
-135385	瓮声瓮	107723	138150	1	null
-135386	形成	87418	24418	2	{n=1, v=416, vn=31}
-135387	北航	65536	21271	3	{j=1}
-135388	同日	65816	21516	2	{d=9}
-135389	狮子	111576	29422	2	{n=11}
-135390	欧佩	105013	27431	1	null
-135391	瓮声瓮气	65536	135385	3	{l=0}
-135392	瓮安县	65536	138815	3	{ns=0}
-135393	显微	83040	26174	1	null
-135394	瓯海	114091	29935	1	null
-135395	瓮中	115334	29934	1	null
-135396	涂改	65536	28034	3	{v=1}
-135397	瓯海区	65536	135394	3	{ns=0}
-135398	瓷板画	65536	148792	3	{n=0}
-135399	甑子	65536	29969	3	{n=0}
-135400	泵站	65536	27893	3	{n=2}
-135401	控制者	65536	117157	3	{n=1}
-135402	征候	65536	24449	3	{n=0}
-135403	商港	65536	21830	3	{n=0}
-135404	甘丹寺	65536	164101	3	{ns=0}
-135405	同时	73418	21516	2	{c=393, d=103, n=184}
-135406	甄别	65536	29956	3	{v=1, vn=0}
-135407	瑶乡	65536	29814	3	{n=2, ns=0}
-135408	甘之如	96125	164119	1	null
-135409	甘之如饴	65536	135408	3	{i=0}
-135410	带走	65536	24102	3	{v=7, vn=0}
-135411	回想	65536	22238	3	{v=6, vn=0}
-135412	甘南藏	114110	165411	1	null
-135413	市中	87310	24066	1	null
-135414	滑稽戏	65536	157025	3	{n=0}
-135415	搭建	65536	25645	3	{v=6}
-135416	甘南藏区	65536	135412	3	{ns=2}
-135417	双管	65545	21452	1	null
-135418	甘居中	107203	167697	1	null
-135419	甘居中游	65536	135418	3	{l=0}
-135420	汀江	65536	27712	3	{ns=0}
-135421	原罪	65536	21407	3	{n=0}
-135422	周详	65536	21608	3	{a=0}
-135423	理货员	65536	190281	3	{n=0}
-135424	甘心情	110530	168591	1	null
-135425	甘心情愿	65536	135424	3	{i=0}
-135426	如前	76855	22914	1	null
-135427	反潜	66001	21453	2	{vn=1}
-135428	灌溉站	65536	143569	3	{n=0}
-135429	甘托克	65536	169252	3	{n=0}
-135430	客死	85465	23458	1	null
-135431	甘拜下	96314	169384	1	null
-135432	甘拜下风	65536	135431	3	{i=0}
-135433	甘油酯	65536	171909	3	{n=0}
-135434	思新	84783	24605	1	null
-135435	甘洛乡	65536	172007	3	{ns=0}
-135436	甘紫菜	65536	176119	3	{n=0}
-135437	掉转	65536	25481	3	{v=0}
-135438	池田	65536	27744	3	{nr=0}
-135439	甘肃省	65536	176975	3	{ns=19}
-135440	甘苦与	114594	177586	1	null
-135441	喷饭	65536	21943	3	{v=0}
-135442	甘油酸	65536	171909	3	{n=0}
-135443	甘苦与共	65536	135440	3	{i=0, l=2}
-135444	甘蔗园	65536	178147	3	{n=1}
-135445	反潮	65617	21453	1	null
-135446	甚低频	65536	136095	3	{b=0}
-135447	染指	65536	26579	3	{v=0}
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-135449	浆糊	65536	27974	3	{n=0}
-135450	瓶口	65536	29942	3	{n=0}
-135451	图腾	65536	22270	3	{n=1}
-135452	构筑	94638	26500	2	{v=17, vn=0}
-135453	团级	65536	22242	3	{b=1}
-135454	森林	101774	26862	2	{n=34, nr=0}
-135455	溜溜平	65536	142749	3	{z=0}
-135456	德保	90136	24503	1	null
-135457	巨流	65536	24040	3	{n=0}
-135458	甚嚣尘	115487	137972	1	null
-135459	套色	71951	22871	2	{v=0, vn=1}
-135460	步哨	65536	27493	3	{n=0}
-135461	增白	76818	22686	1	null
-135462	归于	65536	24402	3	{v=6}
-135463	撞针	65536	25758	3	{n=0}
-135464	易地	100442	26131	2	{v=0, vd=1}
-135465	甚嚣尘上	65536	135458	3	{i=0}
-135466	甚至于	65536	149060	3	{d=1}
-135467	甚高频	65536	155433	3	{b=1}
-135468	夜深	79405	22812	2	{t=2}
-135469	甜丝丝	65536	152597	3	{z=0}
-135470	杜洛	102694	26460	1	null
-135471	单簧	65543	21333	1	null
-135472	甜味剂	65536	154219	3	{n=0}
-135473	甜情蜜	110627	157373	1	null
-135474	甜情蜜意	65536	135473	3	{l=0}
-135475	吊针	65536	21514	3	{n=1}
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-135478	甜滋滋	65536	160963	3	{z=0}
-135479	甜腻腻	65536	165747	3	{z=0}
-135480	淋巴腺	65536	130441	3	{n=0}
-135481	团练	65536	22242	3	{n=0}
-135482	团组	65822	22242	1	null
-135483	扶志	65536	25206	3	{v=2}
-135484	甜蜜蜜	65536	167188	3	{z=1}
-135485	喷香	65536	21943	3	{z=0}
-135486	撞钟	65536	25758	3	{v=0}
-135487	分至	65562	20998	1	null
-135488	抢建	65536	25250	3	{v=1}
-135489	甜言蜜	99670	167928	1	null
-135490	熔古	95058	29076	1	null
-135491	甜言蜜语	65536	135489	3	{i=1}
-135492	涂料	65536	28034	3	{n=4}
-135493	公驴	65536	20844	3	{n=0}
-135494	猫哭	101732	29483	1	null
-135495	塔龙	77449	22612	1	null
-135496	水文站	65536	186947	3	{n=0}
-135497	团结	76400	22242	2	{a=113, ad=0, an=17, n=0, nz=4, v=67, vn=23}
-135498	巨浪	65536	24040	3	{n=1}
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-135500	旱区	65536	26097	3	{n=3}
-135501	琼剧	65536	29756	3	{n=0}
-135502	甜酸苦	98734	169840	1	null
-135503	新闻稿	65536	189751	3	{n=0}
-135504	国共	65536	22269	3	{j=6}
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-135506	恩爱	65536	24681	3	{a=0}
-135507	甜面酱	65536	171354	3	{n=0}
-135508	吊钩	65536	21514	3	{n=0}
-135509	慢车	76972	24930	2	{n=0}
-135510	气冲牛	101148	176895	1	null
-135511	国典	65536	22269	3	{n=0}
-135512	生不逢	109411	188454	1	null
-135513	生不逢时	65536	135512	3	{i=0}
-135514	显性	65536	26174	3	{b=1}
-135515	古猿	65536	21476	3	{n=1}
-135516	生产关系	65536	152563	3	{l=11}
-135517	市井	85037	24066	2	{n=1}
-135518	生产基金	65536	154234	3	{l=0}
-135519	复婚	65536	22797	3	{v=0, vn=0}
-135520	南纬	65536	21335	3	{b=1}
-135521	生产大队	65536	154535	3	{l=0}
-135522	生产工具	65536	155749	3	{l=0}
-135523	生产总值	65536	156347	3	{n=66}
-135524	国内	73529	22269	2	{f=1, s=340}
-135525	生产方式	65536	157753	3	{l=6}
-135526	熔合	65536	29076	3	{v=0}
-135527	怀有	65536	24576	3	{v=1}
-135528	生产经营	110929	164175	1	null
-135529	攻心	97943	25915	2	{v=0}
-135530	梭落	102638	26797	1	null
-135531	抱负	65536	25265	3	{n=3}
-135532	弹子	85556	24377	2	{n=0}
-135533	生产能力	65536	164733	3	{l=27}
-135534	止息	65536	27490	3	{v=0, vn=0}
-135535	泾河	109073	27902	2	{ns=0}
-135536	弹孔	65536	24377	3	{n=4}
-135537	带路	65536	24102	3	{v=3}
-135538	增益	65536	22686	3	{v=0}
-135539	夜游	69460	22812	2	{v=0}
-135540	生产资料	65536	167876	3	{l=0, n=12}
-135541	生产过剩	65536	168519	3	{l=1}
-135542	生产队长	65536	170143	3	{n=2}
-135543	檀越	65536	27264	3	{n=0}
-135544	生产经营性	65536	135528	3	{n=1}
-135545	滤斗	65536	28388	3	{n=0}
-135546	生儿育	112648	189272	1	null
-135547	生儿育女	65536	135546	3	{l=1}
-135548	生力军	65536	189620	3	{n=3}
-135549	歇手	65536	27463	3	{v=0}
-135550	口若	67916	21475	1	null
-135551	双簧	65545	21452	2	{n=0}
-135552	可燃	68235	21487	2	{b=1}
-135553	拳联	65536	25331	3	{j=0}
-135554	北苑	65536	21271	3	{ns=0}
-135555	生发出	65536	189930	3	{v=1}
-135556	熔化炉	65536	135284	3	{n=0}
-135557	生吞活	114466	190007	1	null
-135558	半衰	65944	21322	1	null
-135559	生吞活剥	65536	135557	3	{i=1}
-135560	生啤酒	65536	190333	3	{n=0}
-135561	生地黄	65536	190793	3	{n=0}
-135562	景况	65536	26223	3	{n=1}
-135563	燃气	112401	29123	2	{n=25}
-135564	抬高	65536	25260	3	{v=3}
-135565	生字表	65536	191856	3	{n=0}
-135566	生存斗争	65536	137016	3	{l=0}
-135567	扬尘	65536	25196	3	{n=0}
-135568	新华路	65536	172682	3	{ns=0}
-135569	生平厅	65536	192652	3	{n=1}
-135570	生态学家	65536	138909	3	{n=2}
-135571	生意盎然	65536	145837	3	{l=0}
-135572	栽种	65536	26685	3	{v=2, vn=0}
-135573	执纪	65536	25191	3	{v=5, vd=0, vn=9}
-135574	揭牌	65536	25581	3	{v=2, vn=0}
-135575	未便	65536	26410	3	{d=0}
-135576	生态乡	65536	193050	3	{n=1}
-135577	生意人	65536	193320	3	{n=0}
-135578	沧海横	100390	134945	1	null
-135579	担负	65536	25285	3	{v=21, vn=0}
-135580	生拉硬	110240	193762	1	null
-135581	生拉硬拽	65536	135580	3	{l=0}
-135582	内销	65536	20869	3	{v=1, vn=0}
-135583	客气	69847	23458	2	{a=4, ad=0}
-135584	撞锁	65536	25758	3	{n=0, v=0}
-135585	撒布	65536	25746	3	{v=0}
-135586	独具匠	109705	183621	1	null
-135587	生成器	65536	193577	3	{n=0}
-135588	生命体	65536	190102	3	{n=0}
-135589	吊铺	65536	21514	3	{n=0}
-135590	生搬硬	112721	194117	1	null
-135591	台笔	65536	21488	3	{n=0}
-135592	生搬硬套	65536	135590	3	{i=1}
-135593	吊链	65536	21514	3	{n=0}
-135594	生日卡	65536	194558	3	{n=1}
-135595	吊销	65536	21514	3	{v=10, vn=0}
-135596	淳朴	65536	28147	3	{a=3, an=2}
-135597	生机勃勃	65536	135604	3	{l=7}
-135598	栽秧	65536	26685	3	{v=0}
-135599	生机盎然	65536	144831	3	{i=0, l=2}
-135600	生机蓬勃	65536	148445	3	{l=2}
-135601	炕单	65536	28821	3	{n=0}
-135602	拔腿	65536	25300	3	{v=1}
-135603	我行	89089	25105	2	{n=4, r=0}
-135604	生机勃	114410	194899	1	null
-135605	湿寒	65536	28287	3	{a=0}
-135606	生杀予	112766	194905	1	null
-135607	内错	65561	20869	1	null
-135608	生杀予夺	65536	135606	3	{i=0}
-135609	生橡胶	65536	195706	3	{n=0}
-135610	生死不渝	65536	135700	3	{i=0}
-135611	生死与共	65536	135701	3	{l=0}
-135612	生死之交	65536	135762	3	{i=0}
-135613	生死存亡	65536	139103	3	{i=5}
-135614	分色	65559	20998	1	null
-135615	市价	65536	24066	3	{n=6}
-135616	名字	65536	21517	3	{n=37}
-135617	名存	70265	21517	1	null
-135618	生死攸关	65536	141631	3	{i=1}
-135619	怀来	90933	24576	2	{ns=1}
-135620	生殖洄游	65536	141418	3	{l=0}
-135621	古玩	65536	21476	3	{n=1}
-135622	单精	66632	21333	1	null
-135623	生殖细胞	65536	145964	3	{n=0}
-135624	生存性	65536	191857	3	{n=2}
-135625	生气勃	114440	196141	1	null
-135626	技能	92770	25216	2	{n=26}
-135627	生气勃勃	65536	135625	3	{i=5}
-135628	南缘	65536	21335	3	{f=1, n=0}
-135629	生油层	65536	196306	3	{n=0}
-135630	生殖器	65536	196015	3	{n=0}
-135631	汀洲	65536	27712	3	{n=0}
-135632	生津止	107421	196414	1	null
-135633	生津止渴	65536	135632	3	{l=1}
-135634	生活资料	65536	151945	3	{l=0}
-135635	生灵涂	106792	197262	1	null
-135636	挥舞	65536	25381	3	{v=1}
-135637	生灵涂炭	65536	135635	3	{i=0}
-135638	生物制品	65536	137612	3	{l=1, n=0}
-135639	生物力能	112244	137713	1	null
-135640	泳池	65536	27891	3	{n=1}
-135641	特等奖	65536	188812	3	{n=1}
-135642	生物力能学	65536	135639	3	{n=1}
-135643	生物学家	65536	139964	3	{n=1}
-135644	生物武器	65536	144060	3	{l=7}
-135645	生物电流	65536	146571	3	{l=0}
-135646	单糖	65536	21333	3	{n=0}
-135647	爽利	65536	29245	3	{a=0}
-135648	尖轨	65536	23574	3	{n=0}
-135649	生物防治	65536	155016	3	{l=0}
-135650	头天	65536	22836	3	{t=1}
-135651	生猛海	95560	197940	1	null
-135652	生猛海鲜	65536	135651	3	{l=1}
-135653	归位	65536	24402	3	{v=2}
-135654	扎耳	88218	25166	1	null
-135655	生理学	65536	198175	3	{n=1}
-135656	涝池	65536	28061	3	{n=0}
-135657	生理盐水	65536	142673	3	{l=0}
-135658	生生不息	65536	135660	3	{i=1}
-135659	生生世世	65536	135669	3	{i=0}
-135660	生生不	110971	198456	1	null
-135661	头头	74855	22836	2	{n=1, q=0}
-135662	可爱	65536	21487	3	{a=13, an=0}
-135663	生离死	114630	199636	1	null
-135664	生石灰	65536	199180	3	{n=0}
-135665	生离死别	65536	135663	3	{i=2}
-135666	生老病	108153	201242	1	null
-135667	洛宁	107863	27931	1	null
-135668	生老病死	65536	135666	3	{i=0}
-135669	生生世	115669	198456	1	null
-135670	爬山	98957	29228	2	{v=1, vn=0}
-135671	柴米	96468	26612	2	{n=0}
-135672	生而知	115630	201253	1	null
-135673	生而知之	65536	135672	3	{i=1}
-135674	生肖印	65536	201391	3	{n=3}
-135675	摩登	65536	25705	3	{a=0}
-135676	生育力	65536	201419	3	{n=0}
-135677	生花之	104170	201930	1	null
-135678	生花之笔	65536	135677	3	{l=0}
-135679	同月	65536	21516	3	{d=2, t=0}
-135680	生财有	98734	204603	1	null
-135681	生财有道	65536	135680	3	{i=0}
-135682	灭火弹	65536	141120	3	{n=0}
-135683	扭获	65536	25197	3	{v=1}
-135684	抓耳	89855	25235	1	null
-135685	幽灵	65536	24189	3	{n=2}
-135686	生造词	65536	205369	3	{n=0}
-135687	名实	65629	21517	1	null
-135688	生长激素	65536	137933	3	{l=1}
-135689	犟头	104655	29343	1	null
-135690	国别	65536	22269	3	{n=0}
-135691	生闲气	65536	206859	3	{l=0}
-135692	津津有	107748	136843	1	null
-135693	生闷气	65536	206864	3	{v=0}
-135694	生鱼片	65536	208533	3	{n=0}
-135695	生龙活	101323	209330	1	null
-135696	头套	65536	22836	3	{n=0}
-135697	必需	90361	24517	2	{v=7, vn=0}
-135698	棚濑	65536	26842	3	{nr=0}
-135699	潭柘	108397	28525	1	null
-135700	生死不	107421	195988	1	null
-135701	生死与	114762	195988	1	null
-135702	同期	65536	21516	3	{b=0, d=1, f=70, n=0, t=0}
-135703	征兆	65536	24449	3	{n=3}
-135704	漆工	65536	28422	3	{n=0}
-135705	生龙活虎	65536	135695	3	{i=0}
-135706	洞房	95875	27934	2	{n=0}
-135707	枣糕	65536	26531	3	{n=0}
-135708	溺死	65536	28346	3	{v=0}
-135709	撑门	78904	25745	1	null
-135710	甥女	65536	29989	3	{n=0}
-135711	名家	65536	21517	3	{n=14}
-135712	弹射	65536	24377	3	{vn=0}
-135713	用之不	104245	181850	1	null
-135714	用之不竭	65536	135713	3	{i=0}
-135715	用不完	65536	181788	3	{v=0}
-135716	用人不	105621	181961	1	null
-135717	楚汉相	105206	132471	1	null
-135718	用人不疑	65536	135716	3	{i=0}
-135719	淤沙	65536	28132	3	{n=0}
-135720	名宿	65536	21517	3	{n=0}
-135721	用人之长	65536	135778	3	{l=0}
-135722	用兵一时	65536	135723	3	{i=0}
-135723	用兵一	109620	182660	1	null
-135724	生长期	65536	206744	3	{n=0, t=1}
-135725	用兵如神	65536	138669	3	{i=0}
-135726	双糖	65536	21452	3	{n=0}
-135727	搅闹	65536	25605	3	{v=0}
-135728	燃油	65536	29123	3	{b=1, n=2}
-135729	用心险	111041	186322	1	null
-135730	怀柔	90935	24576	2	{b=0, ns=0}
-135731	发毛	65536	21457	3	{v=0}
-135732	物价局	65536	154092	3	{n=9, nt=1}
-135733	归依	65536	24402	3	{vn=2}
-135734	漆布	65536	28422	3	{n=0}
-135735	用心险恶	65536	135729	3	{l=0}
-135736	悬殊	65536	24748	3	{a=3, an=1}
-135737	斑蝥	65536	26001	3	{n=0}
-135738	性激	80631	24615	1	null
-135739	涝河	103482	28061	1	null
-135740	用材林	65536	188255	3	{n=1}
-135741	用武之	113422	189301	1	null
-135742	用武之地	65536	135741	3	{i=2}
-135743	狱卒	65536	29425	3	{n=0}
-135744	归侨	65536	24402	3	{n=9}
-135745	用户名	65536	186950	3	{n=0}
-135746	南美	65540	21335	2	{ns=8}
-135747	斗门镇	65536	154350	3	{ns=0}
-135748	用水量	65536	189507	3	{n=0}
-135749	恒量	65536	24658	3	{n=0}
-135750	征兵	90145	24449	2	{v=2, vn=0}
-135751	拳脚	65536	25331	3	{n=1}
-135752	同村	65536	21516	3	{b=0, n=2}
-135753	拜托	65536	25308	3	{v=0}
-135754	前话	65536	21069	3	{j=6}
-135755	回手	65536	22238	3	{v=0}
-135756	橙色	65536	27225	3	{n=2}
-135757	用途林	65536	198691	3	{n=0}
-135758	用电户	65536	191812	3	{n=1}
-135759	牛皮纸	65536	184408	3	{n=3}
-135760	古琴	65536	21476	3	{n=2}
-135761	涤棉	106157	28068	2	{n=0}
-135762	生死之	115480	195988	1	null
-135763	处身	65536	22788	3	{v=0}
-135764	用长避	105066	200078	1	null
-135765	涉县	65536	28041	3	{ns=1}
-135766	库锦	65536	24211	3	{n=0}
-135767	用长避短	65536	135764	3	{l=0}
-135768	用非所	112375	200557	1	null
-135769	弹尽	78790	24377	1	null
-135770	核工程	65536	170489	3	{n=2}
-135771	字眼	65536	23383	3	{n=4}
-135772	废料	65536	24223	3	{n=0}
-135773	用非所学	65536	135768	3	{i=0}
-135774	甩手掌	109187	139799	1	null
-135775	甩手掌柜	65536	135774	3	{n=0}
-135776	涉及	91419	28041	2	{v=107, vn=2}
-135777	无可讳	84591	173366	1	null
-135778	用人之	97450	181961	1	null
-135779	回扣	65536	22238	3	{n=6, v=0, vn=1}
-135780	狂风暴	95452	178163	1	null
-135781	斋饭	65536	25995	3	{n=0}
-135782	甩袖子	65536	149602	3	{l=0}
-135783	回执	65536	22238	3	{n=8}
-135784	拖把	65536	25302	3	{n=0}
-135785	甭管	65536	29997	3	{c=1}
-135786	田东县	65536	176608	3	{ns=0}
-135787	复学	65536	22797	3	{v=0}
-135788	独具只	103700	183621	1	null
-135789	田园诗	65536	178865	3	{n=0}
-135790	梦牵	85256	26790	1	null
-135791	名将	65536	21517	3	{n=26}
-135792	款留	65536	27454	3	{v=0}
-135793	市侩	65536	24066	3	{n=0}
-135794	田头乡	65536	179448	3	{ns=0}
-135795	淤泥	65536	28132	3	{n=0}
-135796	后手	65536	21518	3	{n=0}
-135797	田字草	65536	179995	3	{n=0}
-135798	煤气站	65536	180348	3	{n=0}
-135799	甬剧	65536	29996	3	{n=0}
-135800	田径运动	65536	136438	3	{l=0}
-135801	插叙	65536	25554	3	{n=0}
-135802	国力	65536	22269	3	{n=6, nz=0}
-135803	拜把	95304	25308	1	null
-135804	浪子	65536	28010	3	{n=0}
-135805	国办	65536	22269	3	{j=0}
-135806	田秀才	65536	187780	3	{n=0}
-135807	狮子座	65536	135389	3	{n=0}
-135808	国务	75291	22269	2	{n=25}
-135809	田径赛	65536	181064	3	{n=0}
-135810	挡驾	65536	25377	3	{v=0}
-135811	插口	65536	25554	3	{n=0, v=0}
-135812	田纳西	111783	189047	1	null
-135813	田纳西州	65536	135812	3	{ns=0}
-135814	田野工	115499	193938	1	null
-135815	田野工作	65536	135814	3	{l=0}
-135816	枝繁	102585	26525	1	null
-135817	田间管	106116	195000	1	null
-135818	田间管理	65536	135817	3	{l=1}
-135819	田阳县	65536	195063	3	{ns=2}
-135820	由上至	115844	137199	1	null
-135821	套菜	65536	22871	3	{n=3}
-135822	德克	77745	24503	1	null
-135823	由上至下	65536	135820	3	{l=1}
-135824	由下而	115851	137200	1	null
-135825	沸点	65536	27832	3	{n=0}
-135826	曲意逢	84974	158557	1	null
-135827	子房	65536	23376	3	{n=0}
-135828	惨绝	93330	24808	1	null
-135829	由下而上	65536	135824	3	{l=0}
-135830	斥退	65536	26021	3	{v=0}
-135831	由始至	103378	140208	1	null
-135832	暖情	65536	26262	3	{n=1}
-135833	甚么	65536	29978	3	{r=0}
-135834	由始至终	65536	135831	3	{l=1}
-135835	由小到	113014	140788	1	null
-135836	最少	65536	26368	3	{d=2}
-135837	由小到大	65536	135835	3	{l=2}
-135838	国势	65536	22269	3	{n=0}
-135839	内阁	66698	20869	2	{n=46}
-135840	气喘病	65536	177893	3	{n=0}
-135841	由来已	115806	143690	1	null
-135842	撒手锏	65536	136681	3	{n=0}
-135843	由来已久	65536	135841	3	{l=2}
-135844	抵罪	65536	25269	3	{v=1}
-135845	回报	66555	22238	2	{v=15, vn=18}
-135846	复审	65536	22797	3	{v=0, vn=0}
-135847	拖拉	89593	25302	2	{a=1, v=0}
-135848	椅背	65536	26885	3	{n=1}
-135849	由此及彼	65536	135858	3	{i=0}
-135850	废旧	65536	24223	3	{b=4}
-135851	暂缓	65536	26242	3	{v=2}
-135852	戏目	65536	25103	3	{n=0}
-135853	由此可知	65536	135895	3	{l=0}
-135854	池盐	65536	27744	3	{n=0}
-135855	发汗	71475	21457	2	{v=0}
-135856	南翼	65536	21335	3	{s=5}
-135857	由此看来	65536	144883	3	{l=2}
-135858	由此及	111405	144713	1	null
-135859	由浅入	107720	145194	1	null
-135860	拖拖	90731	25302	1	null
-135861	拔节	65536	25300	3	{v=0, vn=0}
-135862	底气	65536	24213	3	{n=1}
-135863	德兴	65536	24503	3	{nz=0}
-135864	欧元	65536	27431	3	{n=27, q=0}
-135865	由浅入深	65536	135859	3	{l=0}
-135866	浑然无	107330	152325	1	null
-135867	由表及	98546	152141	1	null
-135868	杨伙	93269	26472	1	null
-135869	漕粮	65536	28437	3	{n=0}
-135870	由表及里	65536	135867	3	{i=1}
-135871	思来	87684	24605	1	null
-135872	由衷之	100547	152156	1	null
-135873	如同	65536	22914	3	{p=1, v=23}
-135874	团职	65536	22242	3	{n=2}
-135875	由衷之言	65536	135872	3	{n=0}
-135876	涝洼	107593	28061	1	null
-135877	甲亢病	65536	171831	3	{n=0}
-135878	幽然	65536	24189	3	{z=1}
-135879	四散	65536	22235	3	{v=0}
-135880	旗袍	84724	26071	2	{n=0}
-135881	甲午战	115777	173021	1	null
-135882	甲午战争	65536	135881	3	{nz=0}
-135883	甲吾拉	65536	173267	3	{ns=0}
-135884	客流	68330	23458	2	{n=9}
-135885	拜拜	65536	25308	3	{v=0}
-135886	杀虫药	65536	156635	3	{n=0}
-135887	康福	86531	24247	1	null
-135888	团聚	65536	22242	3	{v=12, vn=0}
-135889	民主派	65536	173410	3	{n=0}
-135890	暂缺	65536	26242	3	{v=1}
-135891	灾害	107869	28798	2	{n=58}
-135892	热电子	65536	192066	3	{n=0}
-135893	溺水	65536	28346	3	{v=0}
-135894	底水	65536	24213	3	{n=0}
-135895	由此可	105160	144713	1	null
-135896	毫不留	102160	132648	1	null
-135897	内阻	65536	20869	3	{n=1}
-135898	名山	70910	21517	2	{n=0, ns=0}
-135899	物理学	110287	163579	2	{n=3}
-135900	回拜	65536	22238	3	{v=0}
-135901	枞阳	102649	26526	1	null
-135902	德军	65536	24503	3	{j=0}
-135903	德农	90201	24503	1	null
-135904	基督	73212	22522	2	{n=0, nz=1}
-135905	槐米	65536	27088	3	{n=0}
-135906	暖意	65536	26262	3	{n=3}
-135907	洛山	106782	27931	1	null
-135908	内陆	65642	20869	2	{s=6}
-135909	甲壳动	106627	174472	1	null
-135910	欧共	105520	27431	1	null
-135911	泼水	95708	27900	1	null
-135912	杀人罪	65536	142378	3	{n=0}
-135913	泾渭	109162	27902	1	null
-135914	热电学	65536	192066	3	{n=0}
-135915	烦冗	65536	28902	3	{a=0}
-135916	甲壳动物	65536	135909	3	{l=0}
-135917	爵士	113406	29237	2	{n=1}
-135918	样子	96672	26679	2	{n=18}
-135919	性灵	65536	24615	3	{n=2}
-135920	甲状旁腺	65536	135935	3	{l=0}
-135921	没心肝	65536	171413	3	{l=0}
-135922	土地	75163	22303	2	{n=180}
-135923	甲状软骨	65536	146605	3	{l=0}
-135924	机器翻	87445	168385	1	null
-135925	甲种射	103480	182882	1	null
-135926	沿条	65536	27839	3	{n=0}
-135927	甲种射线	65536	135925	3	{l=0}
-135928	溜号	65536	28316	3	{v=0}
-135929	审验	65536	23457	3	{v=3, vn=0}
-135930	模拟网	65536	142285	3	{n=1}
-135931	期盼	65536	26399	3	{v=14, vn=2}
-135932	狱吏	65536	29425	3	{n=0}
-135933	猿叶	100184	29503	1	null
-135934	加长	65536	21152	3	{v=2, vn=0}
-135935	甲状旁	102774	181067	1	null
-135936	权威	98758	26435	2	{a=15, an=0, n=24}
-135937	甲种粒子	65536	144259	3	{l=0}
-135938	甲状腺炎	65536	143032	3	{n=0}
-135939	分获	65536	20998	3	{v=5}
-135940	市值	65536	24066	3	{n=9}
-135941	派头	65536	27966	3	{n=1}
-135942	甲骨文	65536	191293	3	{n=0}
-135943	申报单	65536	142459	3	{n=0}
-135944	南联	65543	21335	1	null
-135945	润物	97789	28070	1	null
-135946	拔苗	94834	25300	1	null
-135947	申根协	112498	143887	1	null
-135948	申根协定	65536	135947	3	{nz=6}
-135949	捞饭	65536	25438	3	{n=0}
-135950	反照	65536	21453	3	{v=0}
-135951	景区	65536	26223	3	{n=5}
-135952	土坎	65536	22303	3	{n=0}
-135953	申诉人	65536	152991	3	{n=0}
-135954	电介质	65536	189200	3	{n=0}
-135955	土坑	65536	22303	3	{n=1}
-135956	水磨石	65536	191908	3	{n=1}
-135957	电传机	65536	189285	3	{n=0}
-135958	湘剧	92675	28248	2	{n=0}
-135959	牛仔服	65536	174206	3	{n=0}
-135960	敬奉	65536	25964	3	{v=0}
-135961	土块	65536	22303	3	{n=1}
-135962	国医	65536	22269	3	{n=0}
-135963	滨江	95305	28392	1	null
-135964	发泄	65536	21457	3	{v=1}
-135965	四方	68484	22235	2	{n=9}
-135966	电冰箱	65536	189941	3	{n=6}
-135967	土坝	65536	22303	3	{n=0}
-135968	字码	65536	23383	3	{n=0}
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-135970	甩卖	65536	29993	3	{v=0}
-135971	土坡	65536	22303	3	{n=0}
-135972	榜眼	65536	27036	3	{n=0}
-135973	未免	65536	26410	3	{d=0}
-135974	操纵	96289	25805	2	{v=6, vn=2}
-135975	电功率	65536	190180	3	{n=0}
-135976	浙昆	65536	27993	3	{j=3}
-135977	电位器	65536	189330	3	{n=0}
-135978	找还	65536	25214	3	{v=0}
-135979	电势差	65536	190212	3	{n=0}
-135980	枯坐	65536	26543	3	{v=0}
-135981	电化教育	65536	138531	3	{l=0}
-135982	同样	65536	21516	3	{a=0, ad=0, b=25, d=56}
-135983	电压表	65536	190416	3	{n=0}
-135984	电化学	65536	190299	3	{n=0}
-135985	土坯	65536	22303	3	{n=1}
-135986	电力局	65536	190176	3	{n=10}
-135987	搜集	65536	25628	3	{v=10, vn=2}
-135988	操练	65536	25805	3	{v=1}
-135989	电吹风	65536	190590	3	{n=1}
-135990	活动室	65536	173543	3	{n=3}
-135991	污染物	65536	136777	3	{n=5}
-135992	电器行	65536	191149	3	{n=0}
-135993	斯德	97389	26031	1	null
-135994	内障	65536	20869	3	{n=0}
-135995	古生	65600	21476	1	null
-135996	电子元件	65536	156814	3	{n=0}
-135997	梨膏	65536	26792	3	{n=0}
-135998	电唱头	65536	190838	3	{n=0}
-135999	同案	65541	21516	1	null
-136000	电子光学	65536	156820	3	{l=0}
-136001	熊岳	94914	29066	1	null
-136002	澳州	65536	28595	3	{ns=0}
-136003	同桌	65536	21516	3	{v=0}
-136004	申请书	65536	153037	3	{n=1}
-136005	电子器件	65536	158131	3	{l=0}
-136006	电子游戏	109583	164227	2	{n=0}
-136007	技艺	65536	25216	3	{n=7}
-136008	活动家	65536	173543	3	{n=1}
-136009	电子游戏机	65536	136006	3	{n=1}
-136010	涛澜	65536	28059	3	{n=2}
-136011	电子电路	65536	166016	3	{n=0}
-136012	古田	65536	21476	3	{ns=2}
-136013	电孕乡	65536	192410	3	{ns=3}
-136014	电容器	65536	192510	3	{n=2}
-136015	电工学	65536	193066	3	{n=0}
-136016	棒硬	65536	26834	3	{z=0}
-136017	电度表	65536	193259	3	{n=0}
-136018	电弧焊	110510	193388	1	null
-136019	电弧焊接	65536	136018	3	{l=0}
-136020	泡病	107290	27873	1	null
-136021	扬州	90916	25196	2	{ns=8}
-136022	宽舒	65536	23485	3	{a=0}
-136023	古画	65536	21476	3	{n=0}
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-136028	内难	65536	20869	3	{n=0}
-136029	电控柜	65536	194540	3	{n=0}
-136030	电推子	65536	194541	3	{n=0}
-136031	生活会	65536	196436	3	{n=4}
-136032	束缚	65536	26463	3	{v=11, vn=12}
-136033	电报局	65536	194282	3	{n=3}
-136034	电信业	65536	189478	3	{n=3}
-136035	电教片	65536	194974	3	{n=0}
-136036	电池组	65536	196773	3	{n=2}
-136037	电流表	65536	196998	3	{n=0}
-136038	电渣炉	65536	197224	3	{n=0}
-136039	电气化	65536	196697	3	{v=3, vn=11}
-136040	电源线	65536	197333	3	{n=1}
-136041	电灌站	65536	197777	3	{n=0}
-136042	出血	65552	20986	2	{v=0, vn=0}
-136043	末流	65536	26411	3	{n=0}
-136044	电火花	65536	197808	3	{n=0}
-136045	歪理	65536	27498	3	{n=0}
-136046	电灯泡	65536	197812	3	{n=0}
-136047	滨河	65536	28392	3	{ns=0}
-136048	基石	65536	22522	3	{n=2}
-136049	电炊具	65536	197839	3	{n=0}
-136050	智慧	65536	26234	3	{a=0, n=49, nr=0}
-136051	焰心	65536	28976	3	{n=0}
-136052	枉费	102190	26505	1	null
-136053	电烙铁	65536	197918	3	{n=0}
-136054	出行	65536	20986	3	{v=4, vn=3}
-136055	电熨斗	65536	198125	3	{n=0}
-136056	电瓶车	65536	198971	3	{n=1}
-136057	电烤炉	65536	197929	3	{n=0}
-136058	易如	99566	26131	1	null
-136059	氢氧化钙	65536	127313	3	{n=0}
-136060	拔草	65536	25300	3	{vn=0}
-136061	扬帆	65536	25196	3	{nr=0, v=3}
-136062	电热水器	65536	141660	3	{n=1}
-136063	满山遍	94205	172490	1	null
-136064	电焊工	65536	197967	3	{n=0}
-136065	电疗法	65536	199132	3	{n=0}
-136066	氢氧化钠	65536	127313	3	{n=0}
-136067	四星	65851	22235	1	null
-136068	电石气	65536	199736	3	{n=0}
-136069	电码本	65536	199750	3	{n=0}
-136070	团脐	65536	22242	3	{n=0}
-136071	底泥	65536	24213	3	{n=0}
-136072	文化界	65536	168038	3	{n=3}
-136073	抚顺	91358	25242	2	{ns=1}
-136074	电磁感应	65536	138619	3	{l=0}
-136075	未决	93591	26410	2	{v=0}
-136076	必须	65536	24517	3	{d=557, n=0, v=2}
-136077	桥下	65536	26725	3	{s=4}
-136078	电磁振荡	65536	139147	3	{n=0}
-136079	斗争	65536	26007	3	{n=0, v=31, vn=208}
-136080	电热器	65536	197938	3	{n=0}
-136081	前贤	65536	21069	3	{n=1}
-136082	摊贩	65536	25674	3	{n=2}
-136083	电磁辐射	65536	150508	3	{n=0}
-136084	电离层	65536	200192	3	{n=0}
-136085	电线杆	65536	201476	3	{n=2}
-136086	电磁场	65536	199942	3	{n=0}
-136087	李瑞	93797	26446	1	null
-136088	申请人	65536	153037	3	{n=1}
-136089	爽口	65536	29245	3	{a=0}
-136090	理屈辞	103749	177770	1	null
-136091	电老虎	65536	201798	3	{n=0}
-136092	电管员	65536	200678	3	{j=0, n=1}
-136093	独立团	65536	194201	3	{n=1}
-136094	内需	65536	20869	3	{n=1}
-136095	甚低	96389	29978	1	null
-136096	电脑业	65536	202070	3	{n=4}
-136097	电褥子	65536	204138	3	{n=0}
-136098	电视大学	65536	141587	3	{n=0}
-136099	电视电话	115853	148769	2	{l=1}
-136100	毫安	92028	27627	2	{q=1}
-136101	挽额	65536	25405	3	{n=0}
-136102	检察署	65536	135295	3	{n=0}
-136103	电视电话会	100346	136099	1	null
-136104	电视电话会议	65536	136103	3	{n=4}
-136105	染料	65536	26579	3	{n=1}
-136106	电讯报	65536	204788	3	{n=1}
-136107	电话会议	65536	136725	3	{n=3}
-136108	电话拥有	103340	141792	1	null
-136109	爪子	65536	29226	3	{n=0}
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-136115	电车站	65536	205739	3	{n=0}
-136116	敬老院	65536	145872	3	{n=13}
-136117	后掌	65536	21518	3	{n=0}
-136118	电针疗	108263	207053	1	null
-136119	单纯	65837	21333	2	{a=19, ad=8, an=0}
-136120	独立国	110852	194201	2	{n=0}
-136121	梅克	104687	26757	1	null
-136122	横眉竖	95070	179367	1	null
-136123	后排	65536	21518	3	{f=2, n=3}
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-136125	基础	77505	22522	2	{a=0, n=555}
-136126	电风扇	65536	208147	3	{n=0}
-136127	戏码	65536	25103	3	{n=0}
-136128	电路图	65536	205364	3	{n=0}
-136129	男中音	65536	162293	3	{n=0}
-136130	理想国	65536	178965	3	{n=0}
-136131	周身	65536	21608	3	{n=0}
-136132	甚佳	65536	29978	3	{z=0}
-136133	喜笑	65569	21916	1	null
-136134	湘北	65536	28248	3	{ns=2}
-136135	单线	65539	21333	2	{n=4}
-136136	土堆	65536	22303	3	{n=1}
-136137	后掠	65603	21518	1	null
-136138	男人家	65536	162434	3	{n=0}
-136139	电阻器	65536	207488	3	{n=1}
-136140	电饭煲	65536	208306	3	{n=3}
-136141	男低音	65536	162582	3	{n=1}
-136142	单细	65545	21333	1	null
-136143	无机酸	65536	178305	3	{n=0}
-136144	男傧相	65536	162927	3	{n=0}
-136145	国史	65536	22269	3	{n=0}
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-136147	男女平	104587	165179	1	null
-136148	男女平等	65536	136147	3	{l=0}
-136149	男女老少	65536	144737	3	{i=11}
-136150	国号	65536	22269	3	{n=0}
-136151	氢氧化铵	65536	127313	3	{n=0}
-136152	男婚女	112920	165410	1	null
-136153	男婚女嫁	65536	136152	3	{i=1}
-136154	昏昏	96262	26127	1	null
-136155	军长	65536	20891	3	{n=3}
-136156	男孩子	65536	165681	3	{n=1}
-136157	男性化	65536	166895	3	{v=0}
-136158	挨门	91149	25384	1	null
-136159	犁市	95762	29313	1	null
-136160	男朋友	65536	168659	3	{n=0}
-136161	前赴	67143	21069	1	null
-136162	曼谷	65536	26364	3	{n=2, ns=28}
-136163	掌管	65536	25484	3	{v=0}
-136164	氢氧化锂	94709	127313	1	null
-136165	游戏机	65536	177703	3	{n=2}
-136166	土堤	76385	22303	2	{n=0}
-136167	国合	65536	22269	3	{j=2}
-136168	枣红	65536	26531	3	{b=0}
-136169	栈道	65536	26632	3	{n=4}
-136170	昏星	65536	26127	3	{n=0}
-136171	氧化焰	65536	127586	3	{n=0}
-136172	国名	65536	22269	3	{n=2}
-136173	灾害源	65536	135891	3	{n=2}
-136174	滨洲	65536	28392	3	{ns=0}
-136175	密林	65536	23494	3	{n=3}
-136176	尖酸	65536	23574	3	{a=0}
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-136178	男子化	65536	165656	3	{v=0}
-136179	沈灶	89923	27784	2	{ns=0}
-136180	回援	65536	22238	3	{v=0}
-136181	检录	65536	26816	3	{v=0}
-136182	男男女	113284	172287	1	null
-136183	男男女女	65536	136182	3	{l=0}
-136184	悬浊	85133	24748	1	null
-136185	攻打	65536	25915	3	{v=0}
-136186	国君	65536	22269	3	{n=2, nr=0}
-136187	无所谓	65536	177031	3	{l=1}
-136188	洪泽湖	65536	156105	3	{ns=1}
-136189	归入	65536	24402	3	{v=1}
-136190	张望	65536	24352	3	{v=0}
-136191	男盗女	113092	172703	1	null
-136192	男盗女娼	65536	136191	3	{i=0}
-136193	映象	65536	26144	3	{n=0}
-136194	男高音	65536	181920	3	{n=1}
-136195	甸子	65536	30008	3	{n=0}
-136196	归公	65536	24402	3	{v=0}
-136197	原色	65536	21407	3	{n=0}
-136198	湘南	65536	28248	3	{ns=0}
-136199	烦劳	65536	28902	3	{v=0}
-136200	南腔	69717	21335	1	null
-136201	头子	65536	22836	3	{n=0}
-136202	町村	65536	30010	3	{nr=0}
-136203	画中画	65536	184229	3	{l=2, nz=1}
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-136205	画地为	106924	186536	1	null
-136206	画地为牢	65536	136205	3	{i=1}
-136207	张本	65536	24352	3	{n=0}
-136208	差错	78804	24046	2	{n=2}
-136209	画外音	65536	187022	3	{n=0}
-136210	暖房	65536	26262	3	{n=1}
-136211	画报社	65536	189469	3	{n=1}
-136212	画栋雕	109461	190851	1	null
-136213	德勒	79092	24503	1	null
-136214	画栋雕梁	65536	136212	3	{i=0}
-136215	摆动	65536	25670	3	{v=2}
-136216	摸黑	96821	25720	2	{v=0, vd=0}
-136217	画脂镂	115314	197242	1	null
-136218	扑面	81872	25169	2	{v=2, vd=0, vn=0}
-136219	客源	65536	23458	3	{n=0}
-136220	悬浮	92158	24748	2	{v=2, vn=0}
-136221	后援	65536	21518	3	{n=0}
-136222	晴雨表	65536	139123	3	{n=1}
-136223	栀角	65536	26624	3	{n=2}
-136224	斜晖	65536	26012	3	{n=0}
-136225	洗衣社	65536	170760	3	{n=2}
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-136228	画虎类狗	65536	136227	3	{l=0}
-136229	燃烧室	65536	136798	3	{n=0}
-136230	画蛇添	99956	198719	1	null
-136231	画蛇添足	65536	136230	3	{i=0}
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-136233	喜筵	65536	21916	3	{n=0}
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-136235	画饼充饥	65536	136234	3	{i=0}
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-136237	画龙点	105687	205073	1	null
-136238	拍照	65536	25293	3	{v=5, vn=0}
-136239	画像砖	65536	184903	3	{n=0}
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-136245	畅想曲	65536	140194	3	{n=1}
-136246	双绞	65753	21452	1	null
-136247	畅所欲	100920	140527	1	null
-136248	畅所欲言	65536	136247	3	{i=0}
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-136250	奇正	65536	22855	3	{nz=0}
-136251	沁源	106652	27777	2	{ns=8}
-136252	畅行无阻	65536	136249	3	{l=1}
-136253	畅通无	97795	152265	1	null
-136254	畅通无阻	65536	136253	3	{i=1, l=0}
-136255	畅销书	65536	153519	3	{n=5}
-136256	单缸	65536	21333	3	{b=0}
-136257	效能	65536	25928	3	{n=3}
-136258	检举箱	65536	131806	3	{n=0}
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-136260	尖里	83697	23574	1	null
-136261	界限量	100994	154181	1	null
-136262	界限量规	65536	136261	3	{l=0}
-136263	畏强欺	111896	140837	1	null
-136264	栖身	65536	26646	3	{v=2}
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-136266	畏缩不	115198	149012	1	null
-136267	畏缩不前	65536	136266	3	{i=1}
-136268	畏首畏	112656	155777	1	null
-136269	市内	65536	24066	3	{n=1, s=15}
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-136272	留一手	65536	182015	3	{l=0}
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-136274	留下来	65536	182026	3	{v=3}
-136275	反犬	66381	21453	1	null
-136276	留余地	65536	182360	3	{l=0}
-136277	巨灵	65536	24040	3	{n=0}
-136278	留党察	105804	182873	1	null
-136279	留党察看	65536	136278	3	{l=0}
-136280	拔营	65536	25300	3	{v=0}
-136281	德化	65536	24503	3	{ns=0}
-136282	留兰香	65536	182895	3	{n=0}
-136283	土墙	65536	22303	3	{n=1}
-136284	军阀	65536	20891	3	{n=3}
-136285	留声机	65536	184815	3	{n=0}
-136286	留后手	65536	183565	3	{l=0}
-136287	梨花	102188	26792	2	{n=1}
-136288	留学人员	65536	136294	3	{n=8}
-136289	海平面	65536	187497	3	{n=1}
-136290	昏暗	65536	26127	3	{a=1, an=0}
-136291	留尼汪	112588	185659	2	{ns=0}
-136292	扎花	91741	25166	1	null
-136293	扶持	65536	25206	3	{v=58, vn=19}
-136294	留学人	114696	185445	1	null
-136295	留尼汪岛	65536	136291	3	{ns=0}
-136296	留有余	113982	188424	1	null
-136297	地上	65536	22320	2	{n=0, s=23}
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-136299	土墩	65536	22303	3	{n=0}
-136300	四月	65536	22235	3	{t=4}
-136301	四有	65536	22235	3	{j=3}
-136302	留有余地	65536	136296	3	{i=0}
-136303	杏红	65536	26447	3	{b=0}
-136304	留连忘	99488	198877	1	null
-136305	名师	65536	21517	3	{n=0}
-136306	热气腾	99704	189729	1	null
-136307	爪尖	65536	29226	3	{n=0}
-136308	留连忘返	65536	136304	3	{l=2}
-136309	晓行	98544	26195	1	null
-136310	朱槿	65536	26417	3	{n=0}
-136311	毫不相	102756	132648	1	null
-136312	留退路	65536	198911	3	{l=0}
-136313	畚箕	65536	30042	3	{n=0}
-136314	扬弃	65536	25196	3	{v=0, vn=0}
-136315	军队	65536	20891	3	{n=173}
-136316	畜产品	65536	136334	3	{n=5}
-136317	市况	65536	24066	3	{n=0}
-136318	灌制	65536	28748	3	{v=0}
-136319	敲诈	97386	25970	2	{v=3, vn=0}
-136320	电解槽	65536	204328	3	{n=0}
-136321	炼制	65536	28860	3	{vn=0}
-136322	政务院	65536	153070	3	{n=2, nt=0}
-136323	畜牧业	65536	145486	3	{n=7}
-136324	周转	67868	21608	2	{v=2, vn=4}
-136325	略加修	110413	151372	1	null
-136326	略加修改	65536	136325	3	{l=0}
-136327	略去不	110776	151655	1	null
-136328	略去不提	65536	136327	3	{l=0}
-136329	湿度	96302	28287	2	{n=8}
-136330	犁庭	108783	29313	1	null
-136331	形旁	65536	24418	3	{n=0}
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-136333	略感不	99474	155083	1	null
-136334	畜产	114619	30044	2	{n=0}
-136335	留言条	65536	197375	3	{n=0}
-136336	熊市	65536	29066	3	{n=5}
-136337	抢手	79312	25250	2	{a=0}
-136338	军阶	65536	20891	3	{n=0}
-136339	夹道	73654	22841	2	{n=1, v=0}
-136340	略感不适	65536	136333	3	{l=0}
-136341	电影厅	65536	193462	3	{n=0}
-136342	略有出	115507	156597	1	null
-136343	意料	93619	24847	2	{v=0, vn=2}
-136344	略有出入	65536	136342	3	{l=0}
-136345	略有所闻	65536	140508	3	{l=0}
-136346	地主	65777	22320	2	{n=4}
-136347	权宜	103336	26435	1	null
-136348	煞尾	65536	29022	3	{n=0, v=0}
-136349	略知一二	65536	136351	3	{i=2}
-136350	珀斯	65536	29632	3	{ns=41}
-136351	略知一	116241	160913	1	null
-136352	正电荷	65536	184375	3	{n=0}
-136353	略知皮毛	65536	146765	3	{l=0}
-136354	略胜一	104746	163208	1	null
-136355	略胜一筹	65536	136354	3	{i=1}
-136356	地久	74126	22320	1	null
-136357	略表寸	111844	165140	1	null
-136358	土壤	73191	22303	2	{n=19}
-136359	略表寸心	65536	136357	3	{l=0}
-136360	略见一	110360	165485	1	null
-136361	略见一斑	65536	136360	3	{i=1}
-136362	口蘑	65536	21475	3	{n=0}
-136363	性爱	65536	24615	3	{n=0}
-136364	展览	87408	23637	2	{n=1, v=12, vn=23}
-136365	略识之	110290	166002	1	null
-136366	捣鬼	65536	25443	3	{v=0}
-136367	弹库	65536	24377	3	{n=0}
-136368	氯气	65536	27695	3	{n=0}
-136369	头寸	65536	22836	3	{n=0}
-136370	略识之无	65536	136365	3	{i=0}
-136371	就算	65536	23601	3	{d=2, v=0}
-136372	略迹原	111602	167077	1	null
-136373	武昌站	65536	177109	3	{ns=0}
-136374	海外版	65536	186124	3	{n=3}
-136375	略迹原情	65536	136372	3	{i=0}
-136376	土壶	65536	22303	3	{n=1}
-136377	略逊一	104769	167094	1	null
-136378	略逊一筹	65536	136377	3	{l=0}
-136379	氯氟	98472	27695	1	null
-136380	杆菌	65536	26438	3	{n=0}
-136381	征召	65536	24449	3	{v=0}
-136382	畦田	65536	30054	3	{n=0}
-136383	番木瓜	65536	141312	3	{n=0}
-136384	沾沾	95334	27838	1	null
-136385	沉淀物	65536	173477	3	{n=0}
-136386	番禺市	65536	146066	3	{ns=4}
-136387	欧华	65536	27431	3	{nz=3}
-136388	理发匠	65536	175603	3	{n=0}
-136389	番茄酱	65536	148444	3	{n=0}
-136390	救济院	65536	148171	3	{n=0}
-136391	畲族	65536	30066	3	{nz=3}
-136392	畸形儿	65536	139348	3	{n=1}
-136393	畸轻畸	99070	151661	1	null
-136394	畸变	65536	30072	3	{n=0}
-136395	畸轻畸重	65536	136393	3	{i=0}
-136396	畸重畸	99669	152255	1	null
-136397	后撤	65536	21518	3	{v=0}
-136398	混合泳	65536	141444	3	{n=10}
-136399	番号	65536	30058	3	{n=1}
-136400	畸重畸轻	65536	136396	3	{i=1}
-136401	周边	65536	21608	3	{f=0, n=28}
-136402	畹町	109678	30073	2	{ns=0}
-136403	畹町桥	65536	136402	3	{ns=0}
-136404	插嘴	65536	25554	3	{v=0}
-136405	父女	65536	29238	3	{n=0}
-136406	玩儿命	65536	149168	3	{v=0}
-136407	柔情绰	99622	134986	1	null
-136408	攀缘	84237	25856	2	{v=1}
-136409	疏不间	116266	151427	1	null
-136410	疆土	65536	30086	3	{n=0}
-136411	济济	109727	27982	1	null
-136412	疏不间亲	65536	136409	3	{i=0}
-136413	疏密度	65536	154940	3	{n=0}
-136414	南航	65536	21335	3	{j=1}
-136415	疏导岗	65536	154994	3	{n=1}
-136416	激光束	65536	149756	3	{n=2}
-136417	歇斯	101730	27463	1	null
-136418	珍珠港	65536	152474	3	{ns=2}
-136419	琉璃塔	65536	135297	3	{n=0}
-136420	疏忽大	111576	156019	1	null
-136421	可用	68237	21487	2	{a=2, v=5}
-136422	意旨	65536	24847	3	{n=0}
-136423	疏忽大意	65536	136420	3	{l=1}
-136424	发源	70176	21457	2	{v=0, vn=0}
-136425	疑心病	65536	150813	3	{n=0}
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-136427	检查站	65536	138373	3	{n=1}
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-136429	疑神疑	96690	157368	1	null
-136430	疑神疑鬼	65536	136429	3	{i=0}
-136431	疑问句	65536	164680	3	{n=0}
-136432	疑难病	65536	164888	3	{n=1}
-136433	疑难重症	65536	143608	3	{l=0}
-136434	公鸡	65536	20844	3	{n=0}
-136435	旅游点	65536	146162	3	{n=3}
-136436	疔疽	65536	30100	3	{n=0}
-136437	疆场	65536	30086	3	{n=0}
-136438	田径运	114640	181064	1	null
-136439	头尾	65536	22836	3	{n=0}
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-136441	疗养地	65536	136444	3	{n=0}
-136442	扶掖	65536	25206	3	{vn=0}
-136443	疙疙瘩	106196	136456	1	null
-136444	疗养	114121	30103	2	{v=2, vn=0}
-136445	疙疙瘩瘩	65536	136443	3	{z=0}
-136446	市制	65536	24066	3	{n=0}
-136447	疙里疙	106201	143675	1	null
-136448	核子能	65536	169828	3	{n=0}
-136449	夏熟	78747	22799	1	null
-136450	疙里疙瘩	65536	136447	3	{z=0}
-136451	疝气	65536	30109	3	{n=0}
-136452	疟原虫	65536	136492	3	{n=0}
-136453	疤瘌眼	65536	136524	3	{n=0}
-136454	地产	65706	22320	2	{j=2, n=4}
-136455	搞鬼	65536	25630	3	{v=0}
-136456	疙疙	106194	30105	1	null
-136457	疥螨病	65536	141061	3	{n=0}
-136458	疮痍满	106014	145160	1	null
-136459	疥疮	65536	30117	3	{n=0}
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-136461	疯了呱	115504	143576	1	null
-136462	拍片	95773	25293	1	null
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-136465	欠款	105547	27424	2	{n=4, v=0, vn=0}
-136466	滨湖	65536	28392	3	{n=1}
-136467	漏壶	65536	28431	3	{n=0}
-136468	各行	72264	21508	2	{r=2}
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-136472	前身	65536	21069	3	{f=1, n=8}
-136473	犯罪学	65536	154591	3	{n=0}
-136474	疯牛病	65536	152749	3	{n=5}
-136475	合理	72208	21512	2	{a=140, ad=41, an=1, v=0, vn=0}
-136476	拦阻	65536	25318	3	{v=1}
-136477	授意	65536	25480	3	{v=2, vn=0}
-136478	疮口	65536	30126	3	{n=0}
-136479	河南省	65536	163932	3	{ns=50}
-136480	最底	98359	26368	1	null
-136481	吊顶	65536	21514	3	{n=0, v=0}
-136482	泄密	65536	27844	3	{v=4, vn=0}
-136483	疯疯癫	106173	153601	1	null
-136484	氧化物	65536	127586	3	{n=0}
-136485	国商	65536	22269	3	{j=18}
-136486	戏票	65536	25103	3	{n=0}
-136487	旅游热	65536	146162	3	{n=0}
-136488	疯疯癫癫	65536	136483	3	{z=0}
-136489	理发厅	65536	175603	3	{n=0}
-136490	出言	68179	20986	2	{v=1}
-136491	桔红	91479	26708	2	{b=0}
-136492	疟原	102041	30111	1	null
-136493	疫区	65536	30123	3	{n=1}
-136494	疯颠颠	65536	162546	3	{z=0}
-136495	弹弓	65536	24377	3	{n=0}
-136496	性状	65536	24615	3	{n=4}
-136497	泽泻	65536	27901	3	{n=0}
-136498	婚龄	65536	23130	3	{n=0}
-136499	现代化	65536	173970	3	{v=59, vn=230}
-136500	未卜	102146	26410	1	null
-136501	疰夏	65536	30128	3	{n=0}
-136502	回收	73540	22238	2	{v=12, vn=10}
-136503	归功	65536	24402	3	{v=6}
-136504	水烟袋	65536	189851	3	{n=0}
-136505	疱疹	65536	30129	3	{n=0}
-136506	有口难言	65536	134680	3	{i=0}
-136507	单耳	69883	21333	1	null
-136508	左民	87442	24038	1	null
-136509	留言栏	65536	197375	3	{n=1}
-136510	斩钉	93886	26025	1	null
-136511	炊帚	65536	28810	3	{n=0}
-136512	抓药	65536	25235	3	{v=0, vn=0}
-136513	才气	87411	25165	2	{n=0}
-136514	旱地	65536	26097	3	{n=2}
-136515	数据链	65536	152031	3	{n=0}
-136516	昌都	65536	26124	3	{ns=2}
-136517	疲于奔	114892	139781	1	null
-136518	攻掠	65536	25915	3	{v=0}
-136519	彩布	84588	24425	1	null
-136520	沁人肺	94975	128101	1	null
-136521	疲于奔命	65536	136517	3	{i=2}
-136522	疲惫不	113955	144482	1	null
-136523	戒除	65536	25106	3	{v=0}
-136524	疤瘌	105929	30116	2	{n=0}
-136525	疲惫不堪	65536	136522	3	{l=0}
-136526	可疑	65536	21487	3	{a=5, an=0}
-136527	声母	65536	22768	3	{n=0}
-136528	疳疮	65536	30131	3	{n=0}
-136529	疵点	65536	30133	3	{n=1}
-136530	望去	65536	26395	3	{v=0}
-136531	疹子	65536	30137	3	{n=0}
-136532	双翼	65536	21452	3	{n=0}
-136533	影视	90069	24433	2	{b=43, j=0, n=0}
-136534	地价	65707	22320	2	{n=6}
-136535	疼爱	65536	30140	3	{v=1, vn=0}
-136536	棉籽饼	65536	157817	3	{n=0}
-136537	回教	71668	22238	2	{n=0}
-136538	淋病	65536	28107	3	{n=0}
-136539	双考	65536	21452	3	{j=0}
-136540	军需	66229	20891	2	{n=4}
-136541	权属	65536	26435	3	{n=1, vn=0}
-136542	易学	65536	26131	3	{a=0, n=1}
-136543	疾恶如	116377	140230	1	null
-136544	疾恶如仇	65536	136543	3	{i=0}
-136545	炼化	65536	28860	3	{j=0}
-136546	分蘖	65536	20998	3	{n=0, v=0}
-136547	王家庄	65536	166595	3	{ns=0}
-136548	疾言厉	103158	150864	1	null
-136549	密植	65536	23494	3	{v=0, vn=0}
-136550	市办	65536	24066	3	{j=0}
-136551	期票	65536	26399	3	{n=0}
-136552	疾言厉色	65536	136548	3	{i=1}
-136553	圣殿	65536	22307	3	{n=2}
-136554	彩带	65536	24425	3	{n=5}
-136555	受训	65536	21463	3	{v=1, vn=0}
-136556	回敬	65536	22238	3	{v=3, vn=1}
-136557	疾风劲草	65536	136569	3	{i=0}
-136558	吃请	65536	21507	3	{v=4, vn=0}
-136559	杨凌	65536	26472	3	{ns=0}
-136560	拿破	96094	25343	1	null
-136561	疾风暴雨	65536	141691	3	{i=0}
-136562	圆融	65536	22278	3	{a=0}
-136563	横贡缎	65536	185023	3	{n=0}
-136564	处里	65536	22788	3	{n=0}
-136565	拖斗	65536	25302	3	{n=0}
-136566	疾风知劲	102961	146092	1	null
-136567	圣母	65721	22307	2	{n=5}
-136568	电影周	65536	193462	3	{n=1}
-136569	疾风劲	102948	154654	1	null
-136570	疾风知劲草	65536	136566	3	{i=0}
-136571	撤职	65536	25764	3	{v=2, vn=1}
-136572	灌溉网	65536	143569	3	{n=0}
-136573	受访	65742	21463	1	null
-136574	歇晌	65536	27463	3	{v=0}
-136575	疾首蹙	97507	154854	1	null
-136576	疾首蹙额	65536	136575	3	{i=0}
-136577	柔曼	65536	26580	3	{a=1}
-136578	灌区	65536	28748	3	{n=2}
-136579	痄腮	65536	30148	3	{n=0}
-136580	瑞丽	111167	29790	2	{ns=1}
-136581	南苑	65536	21335	3	{ns=0}
-136582	病从口	115753	186611	1	null
-136583	回文	65758	22238	1	null
-136584	抓获	65536	25235	3	{v=14}
-136585	沃田	65536	27779	3	{n=0}
-136586	喜糖	65536	21916	3	{n=0}
-136587	宝贝	75390	23453	2	{n=1}
-136588	渣油	94595	28195	2	{n=1}
-136589	猫头	93944	29483	1	null
-136590	病从口入	65536	136582	3	{i=0}
-136591	病假条	65536	186988	3	{n=1}
-136592	病入膏	103678	187274	1	null
-136593	病入膏肓	65536	136592	3	{i=0}
-136594	测字	65536	27979	3	{v=0}
-136595	受试	65743	21463	1	null
-136596	灾年	65536	28798	3	{n=0}
-136597	瓶塞	65536	29942	3	{n=0}
-136598	声气	65536	22768	3	{n=0}
-136599	病包儿	65536	187690	3	{n=0}
-136600	疙瘩	65536	30105	3	{n=1}
-136601	机械能	65536	173065	3	{n=0}
-136602	疆域	65536	30086	3	{n=2}
-136603	受话	72421	21463	1	null
-136604	晤面	65536	26212	3	{v=1}
-136605	病历室	65536	187819	3	{n=0}
-136606	插图	65536	25554	3	{n=8}
-136607	病号饭	65536	187932	3	{n=0}
-136608	病字旁	65536	189820	3	{n=0}
-136609	病恹恹	65536	191134	3	{z=0}
-136610	病原体	65536	187844	3	{n=0}
-136611	宝贵	65536	23453	3	{a=37}
-136612	双职	67398	21452	1	null
-136613	病歪歪	65536	193935	3	{z=0}
-136614	病殃殃	65536	193960	3	{z=0}
-136615	病理学	65536	196139	3	{n=0}
-136616	电话亭	65536	204834	3	{n=1}
-136617	渡槽	65536	28193	3	{n=0}
-136618	病病歪	109126	196586	1	null
-136619	扶摇	84619	25206	1	null
-136620	地位	65536	22320	3	{n=216}
-136621	病毒学	65536	194039	3	{n=0}
-136622	戏称	65536	25103	3	{n=0, v=5}
-136623	档级	65536	26723	3	{n=0}
-136624	病病歪歪	65536	136618	3	{z=0}
-136625	病秧子	65536	197644	3	{n=0}
-136626	病虫害	65536	200848	3	{n=4}
-136627	症候	65536	30151	3	{n=0}
-136628	柔术	65536	26580	3	{n=1}
-136629	口蜜	65556	21475	1	null
-136630	李白	65536	26446	3	{nr=0}
-136631	痈疽	65536	30152	3	{n=0}
-136632	痉挛	65536	30153	3	{vn=0}
-136633	掩门	65536	25513	3	{v=0}
-136634	痊愈	65536	30154	3	{v=1}
-136635	松果腺	65536	170670	3	{n=0}
-136636	合璧	65536	21512	3	{v=1}
-136637	吃豆	65538	21507	1	null
-136638	名录	65536	21517	3	{n=2}
-136639	痒酥酥	65536	143708	3	{z=0}
-136640	疥癣	65536	30117	3	{n=0}
-136641	痔漏	65536	30164	3	{n=0}
-136642	痕迹	65536	30165	3	{n=13}
-136643	痛不欲	106661	166127	1	null
-136644	痛不欲生	65536	136643	3	{i=2}
-136645	最强	83079	26368	1	null
-136646	发潮	65536	21457	3	{v=0}
-136647	未可	101558	26410	1	null
-136648	新闻纸	65536	189751	3	{n=1}
-136649	痒痒	65536	30162	3	{a=0}
-136650	派对	65536	27966	3	{n=1}
-136651	回旋	69783	22238	2	{v=1, vn=4}
-136652	痛哭流	108601	167887	1	null
-136653	痘疮	65536	30168	3	{n=0}
-136654	痛哭流涕	65536	136652	3	{i=0}
-136655	回族	65536	22238	3	{nz=77}
-136656	痘疱	65536	30168	3	{n=0}
-136657	痛定思	106487	169596	1	null
-136658	痛定思痛	65536	136657	3	{i=4}
-136659	前车	68619	21069	1	null
-136660	痛心疾	97344	170661	1	null
-136661	测定	65536	27979	3	{v=3, vn=4}
-136662	痛心疾首	65536	136660	3	{i=2}
-136663	痛快淋	108234	170701	1	null
-136664	扎营	65536	25166	3	{vn=0}
-136665	昭通	97167	26157	2	{ns=2}
-136666	斯托	85185	26031	1	null
-136667	前轮	65536	21069	3	{n=0}
-136668	异乎	86743	24322	1	null
-136669	痛快淋漓	65536	136663	3	{i=0}
-136670	圣水	65536	22307	3	{n=0}
-136671	市北	87316	24066	1	null
-136672	痛改前	97925	172059	1	null
-136673	前轴	65536	21069	3	{n=0}
-136674	后方	65536	21518	3	{f=8, s=4}
-136675	痛改前非	65536	136672	3	{i=0}
-136676	台网	65536	21488	3	{n=10}
-136677	未名	94718	26410	2	{nz=0}
-136678	抢掠	65536	25250	3	{v=0}
-136679	旷课	65536	26103	3	{v=1}
-136680	国嘉	65536	22269	3	{nz=0}
-136681	撒手	97683	25746	2	{v=0}
-136682	原著	65536	21407	3	{n=3}
-136683	浆膜	65536	27974	3	{n=0}
-136684	痛痒相	115835	176308	1	null
-136685	烤箱	65536	28900	3	{n=0}
-136686	痛痒相关	65536	136684	3	{i=0}
-136687	异乡	90144	24322	2	{n=5}
-136688	痛痛快	112136	176317	1	null
-136689	海洋生	100742	191233	1	null
-136690	测绘法	65536	145683	3	{n=7}
-136691	痛痛快快	65536	136688	3	{z=2}
-136692	替补	65536	26367	3	{v=1, vn=1}
-136693	前辈	65536	21069	3	{n=14}
-136694	痛苦状	65536	179656	3	{n=1}
-136695	痞子	65536	30174	3	{n=0}
-136696	合瓣	65547	21512	1	null
-136697	毫州	65536	27627	3	{n=0}
-136698	孤身	83565	23396	2	{n=5}
-136699	痢特灵	65536	136704	3	{n=0}
-136700	理发员	65536	175603	3	{n=0}
-136701	棘轮	65536	26840	3	{n=0}
-136702	痤疮	107894	30180	2	{n=0}
-136703	复建	65536	22797	3	{v=1, vn=3}
-136704	痢特	107910	30178	1	null
-136705	双肩	70183	21452	2	{n=0}
-136706	市区	65536	24066	3	{s=53}
-136707	护兵	65536	25252	3	{n=0}
-136708	痤疮炎	65536	136702	3	{n=0}
-136709	如坐	81909	22914	1	null
-136710	涝灾	65536	28061	3	{n=0}
-136711	溜圆	65536	28316	3	{z=0}
-136712	痦子	65536	30182	3	{n=0}
-136713	护养	65536	25252	3	{v=0}
-136714	炉前	108461	28809	1	null
-136715	痧子	65536	30183	3	{n=0}
-136716	电热水壶	65536	141660	3	{n=1}
-136717	海南省	65536	184653	3	{ns=35}
-136718	变调	65536	21464	3	{l=0, v=0}
-136719	现代史	65536	173970	3	{n=5}
-136720	痨病	65536	30184	3	{n=0}
-136721	夹金	77416	22841	1	null
-136722	痰迷心	105350	152182	1	null
-136723	痰迷心窍	65536	136722	3	{i=0}
-136724	复式	65536	22797	3	{b=0}
-136725	电话会	100349	204834	1	null
-136726	痱子	104846	30193	2	{n=0}
-136727	痱子粉	65536	136726	3	{n=0}
-136728	痴人说	109939	136745	1	null
-136729	痴人说梦	65536	136728	3	{i=0}
-136730	痴呆呆	65536	138165	3	{z=1}
-136731	痴心妄	111913	141106	1	null
-136732	痴心妄想	65536	136731	3	{i=0}
-136733	济源	65536	27982	3	{ns=1}
-136734	痴痴呆	115163	146787	1	null
-136735	市南	87317	24066	1	null
-136736	界别	65536	30028	3	{n=12}
-136737	痴痴呆呆	65536	136734	3	{z=0}
-136738	柞绢	65536	26590	3	{n=0}
-136739	痹症	65536	30201	3	{n=7}
-136740	痰厥	65536	30192	3	{n=0}
-136741	回春	65536	22238	3	{v=0}
-136742	前边	65536	21069	3	{f=1}
-136743	巨片	65536	24040	3	{n=0}
-136744	旗语	65536	26071	3	{n=0}
-136745	痴人	100900	30196	1	null
-136746	江河行	105621	173320	1	null
-136747	痼习	65536	30204	3	{n=0}
-136748	煽惑	65536	29053	3	{v=0}
-136749	梅县	65536	26757	3	{ns=0}
-136750	洞晓	65536	27934	3	{v=0}
-136751	瘊子	65536	30218	3	{n=0}
-136752	燃点	65536	29123	3	{n=0, v=0}
-136753	瘌痢	113919	30220	1	null
-136754	封泥	65536	23553	3	{n=0}
-136755	瘌痢头	65536	136753	3	{n=0}
-136756	瘠薄	65536	30240	3	{a=1}
-136757	瘢痕	65536	30242	3	{n=0}
-136758	双胞	65539	21452	1	null
-136759	瘤子	65536	30244	3	{n=0}
-136760	柞绸	65536	26590	3	{n=0}
-136761	瘦棱棱	65536	146253	3	{z=0}
-136762	瘦肉型	65536	152293	3	{b=1}
-136763	状子	65536	29366	3	{n=0}
-136764	地保	65536	22320	3	{n=0}
-136765	合用	65536	21512	3	{v=0}
-136766	瘦西湖	65536	154587	3	{ns=0}
-136767	父母官	65536	141103	3	{n=1}
-136768	男女老幼	65536	144737	3	{j=0, l=1}
-136769	可的	66359	21487	1	null
-136770	滴水成	110738	144505	1	null
-136771	弹性	90403	24377	2	{n=2}
-136772	瘦骨嶙	113025	158980	1	null
-136773	字符	83360	23383	2	{n=0}
-136774	瘟疫	65536	30239	3	{n=2}
-136775	猴头	100840	29492	2	{n=0}
-136776	前进	68683	21069	2	{nz=1, v=87, vn=9}
-136777	污染	106702	27745	2	{v=40, vn=50}
-136778	案犯	65536	26696	3	{n=0}
-136779	斯拉	96306	26031	1	null
-136780	瘦骨嶙峋	65536	136772	3	{l=0}
-136781	市厅	76201	24066	1	null
-136782	溜坍	65536	28316	3	{v=0}
-136783	瘪三	65536	30250	3	{n=0}
-136784	瘰疬	65536	30256	3	{n=0}
-136785	混淆是	91856	148034	1	null
-136786	瘴气	65536	30260	3	{n=0}
-136787	归去	84369	24402	2	{v=1}
-136788	瘟疹	65536	30239	3	{n=0}
-136789	瘫子	65536	30251	3	{n=0}
-136790	基站	65536	22522	3	{n=10}
-136791	复归	65536	22797	3	{v=0}
-136792	瘸子	65536	30264	3	{n=0}
-136793	瘾君子	65536	136802	3	{n=0}
-136794	旁支	65536	26049	3	{n=0}
-136795	癌变	65536	30284	3	{n=1}
-136796	同步	72259	21516	2	{b=0, v=10, vd=27, vn=2}
-136797	前述	65536	21069	3	{b=0}
-136798	燃烧	112769	29123	2	{v=8, vn=1}
-136799	爆炸性	65536	141986	3	{n=2}
-136800	瘟病	65536	30239	3	{n=0}
-136801	新闻网	65536	189751	3	{n=2}
-136802	瘾君	113417	30270	1	null
-136803	癌细胞	65536	147785	3	{n=3}
-136804	声波	65536	22768	3	{n=0}
-136805	柴胡	65536	26612	3	{n=0}
-136806	夜猫	76190	22812	1	null
-136807	撒拉	91611	25746	1	null
-136808	电压计	65536	190416	3	{n=0}
-136809	左派	65536	24038	3	{n=2}
-136810	少爷	65536	23569	3	{n=0}
-136811	癔病	65536	30292	3	{n=0}
-136812	声泪	77486	22768	1	null
-136813	癖好	65536	30294	3	{n=0}
-136814	癞皮狗	65536	137052	3	{n=0}
-136815	潭水	65536	28525	3	{n=1}
-136816	癞蛤蟆	65536	141202	3	{n=0}
-136817	癫狂	65536	30315	3	{a=0}
-136818	双脚	65536	21452	3	{n=1}
-136819	癞病	65536	30302	3	{n=0}
-136820	后晋	65536	21518	3	{t=0}
-136821	后晌	65536	21518	3	{t=1}
-136822	癫痫病	65536	137626	3	{n=3}
-136823	登临意	65536	151861	3	{n=0}
-136824	登堂入	113370	154371	1	null
-136825	挑战	96393	25361	2	{v=38, vn=73}
-136826	围裙	65536	22260	3	{n=2}
-136827	归口	65536	24402	3	{v=0, vd=0, vn=2}
-136828	并拢	65536	24182	3	{v=0}
-136829	滴丸	65536	28404	3	{n=3}
-136830	登堂入室	65536	136824	3	{i=1}
-136831	张榜	65536	24352	3	{v=4, vd=1, vn=0}
-136832	登字头	65536	155224	3	{n=0}
-136833	前途	65704	21069	2	{n=19}
-136834	登封市	65536	155394	3	{ns=0}
-136835	登山服	65536	155506	3	{n=0}
-136836	登峰造	110344	155633	1	null
-136837	富纳	82664	23500	1	null
-136838	架子车	65536	128998	3	{n=1}
-136839	市县	65536	24066	3	{n=4}
-136840	畅叙	65536	30021	3	{v=1}
-136841	登峰造极	65536	136836	3	{i=0}
-136842	登录器	65536	156246	3	{n=0}
-136843	津津	109315	27941	1	null
-136844	水晶球	65536	187186	3	{n=0}
-136845	登月舱	65536	158217	3	{n=0}
-136846	波浪鼓	65536	160085	3	{n=0}
-136847	毫无用	104169	138747	1	null
-136848	出警	65559	20986	2	{v=0}
-136849	登机口	65536	158267	3	{n=1}
-136850	登革热	106703	170602	2	{n=0}
-136851	登陆战	65536	170311	3	{n=0}
-136852	登革热病	65536	136850	3	{n=0}
-136853	牟平	112358	29279	2	{ns=3}
-136854	回暖	65536	22238	3	{v=1}
-136855	富绅	65536	23500	3	{nz=0}
-136856	后景	65536	21518	3	{n=0}
-136857	栽绒	65536	26685	3	{n=0}
-136858	摇篮	91147	25671	2	{n=6}
-136859	登高望	100039	171481	1	null
-136860	吃败	72794	21507	1	null
-136861	旁敲	99279	26049	1	null
-136862	电流计	65536	196998	3	{n=0}
-136863	现场图	65536	176105	3	{n=0}
-136864	烟台港	65536	176172	3	{ns=0}
-136865	毕生	65536	27605	3	{b=7, d=1, n=0}
-136866	左海	65536	24038	3	{ns=2}
-136867	登高望远	65536	136859	3	{i=1}
-136868	白三叶	65536	193271	3	{n=1, nz=0}
-136869	无人问	91853	172033	1	null
-136870	白不呲	115200	193275	1	null
-136871	白不呲咧	65536	136870	3	{z=0}
-136872	展评	65536	23637	3	{vn=0}
-136873	生物体	65536	197762	3	{n=0}
-136874	坐禁	65857	22352	1	null
-136875	圣洁	65536	22307	3	{a=1, an=0}
-136876	水果皮	65536	187480	3	{n=0}
-136877	样式	65536	26679	3	{n=10}
-136878	坐禅	65536	22352	3	{v=0}
-136879	泪如	101154	27882	1	null
-136880	白不拉几	65536	140541	3	{z=0}
-136881	白乎乎	65536	193340	3	{z=0}
-136882	父子	65536	29238	3	{n=8}
-136883	泉眼	65536	27849	3	{n=0}
-136884	燃料油	65536	133904	3	{n=1}
-136885	白介素	65536	193465	3	{n=0}
-136886	白云区	65536	193407	3	{ns=0}
-136887	头巾	65536	22836	3	{n=0}
-136888	白俄罗	110858	193714	1	null
-136889	白俄罗斯	116042	136888	2	{ns=9}
-136890	满意率	65536	173672	3	{n=4}
-136891	白俄罗斯共	115249	136889	1	null
-136892	焦作市	65536	159318	3	{ns=7}
-136893	白俄罗斯共和	114626	136891	1	null
-136894	样张	65536	26679	3	{n=0}
-136895	白俄罗斯共和国	65536	136893	3	{ns=0}
-136896	白兰地	99700	194142	2	{n=1}
-136897	桥儿	97080	26725	1	null
-136898	白僵菌	65536	194019	3	{n=0}
-136899	发火	65569	21457	2	{v=0}
-136900	同母	72820	21516	1	null
-136901	拆毁	65536	25286	3	{v=1}
-136902	白兰地酒	65536	136896	3	{n=0}
-136903	白关镇	65536	194145	3	{ns=2}
-136904	白内障	65536	194163	3	{n=7}
-136905	枝节	65536	26525	3	{n=0}
-136906	白净净	65536	194222	3	{z=0}
-136907	同比	65536	21516	3	{j=15, n=0}
-136908	津浦	65536	27941	3	{j=0}
-136909	白刃战	65536	194289	3	{n=0}
-136910	头帕	65536	22836	3	{n=0}
-136911	白化病	65536	194564	3	{n=0}
-136912	白发人	65536	194751	3	{n=1}
-136913	拖曳	77570	25302	2	{v=0}
-136914	涤浊	105031	28068	1	null
-136915	出让	65536	20986	3	{v=6, vn=0}
-136916	白发苍苍	65536	150243	3	{i=0}
-136917	应予	65536	24212	3	{v=0}
-136918	白叟黄	105458	194765	1	null
-136919	白叟黄童	65536	136918	3	{i=0}
-136920	汇编程	103593	163521	1	null
-136921	南营	65607	21335	1	null
-136922	服帖	65536	26381	3	{a=1}
-136923	燃煤	65536	29123	3	{v=0}
-136924	桥党	65536	26725	3	{n=5}
-136925	白口铁	65536	194769	3	{n=0}
-136926	白唇鹿	65536	195061	3	{n=0}
-136927	白垩纪	65536	195735	3	{n=0, t=0}
-136928	白城市	65536	195772	3	{ns=0}
-136929	异体	86918	24322	2	{n=0}
-136930	华龙	65536	21326	3	{nz=1}
-136931	沾满	65536	27838	3	{v=1}
-136932	得不	90717	24471	1	null
-136933	白塔山	65536	195906	3	{n=0}
-136934	发炎	65536	21457	3	{v=1}
-136935	台联	72622	21488	2	{j=4}
-136936	白大褂	65536	196117	3	{n=0}
-136937	出访	65536	20986	3	{v=28, vn=3}
-136938	白天鹅	65536	196119	3	{n=1}
-136939	株距	65536	26666	3	{n=0}
-136940	声浪	65536	22768	3	{n=0}
-136941	煤气罐	65536	180348	3	{n=0}
-136942	油压表	65536	179971	3	{n=0}
-136943	白头偕老	65536	136949	3	{i=0}
-136944	白头到老	65536	137424	3	{i=0}
-136945	白家庄	65536	196772	3	{ns=0}
-136946	白尼罗	109120	196906	1	null
-136947	白尼罗河	65536	136946	3	{ns=0}
-136948	出诊	65536	20986	3	{v=0}
-136949	白头偕	104174	196130	1	null
-136950	生态县	65536	193050	3	{n=1}
-136951	白居寺	65536	196915	3	{ns=0}
-136952	毫无疑	106918	138747	1	null
-136953	白山市	65536	196959	3	{ns=0}
-136954	渴盼	65536	28212	3	{v=1, vn=0}
-136955	掌纹	65536	25484	3	{n=0}
-136956	杏脯	65536	26447	3	{n=0}
-136957	受贿	65902	21463	2	{v=18, vn=8}
-136958	国土	71103	22269	2	{n=12}
-136959	白山黑水	65536	153544	3	{i=0}
-136960	白帝城	65536	197387	3	{ns=0}
-136961	白庙乡	65536	197511	3	{ns=0}
-136962	白开水	65536	197614	3	{n=0}
-136963	氟石	65536	27679	3	{n=0}
-136964	白手起	113488	198457	1	null
-136965	半路	69555	21322	2	{n=0}
-136966	白手起家	65536	136964	3	{i=5}
-136967	民间语	65536	191771	3	{n=1}
-136968	白报纸	65536	198547	3	{n=0}
-136969	白斑病	65536	199295	3	{n=0}
-136970	白斩鸡	65536	199319	3	{n=0}
-136971	滔滔	111451	28372	2	{z=3}
-136972	拜望	65536	25308	3	{v=0}
-136973	底火	65536	24213	3	{n=0}
-136974	濑田	65536	28625	3	{nr=0}
-136975	白日做梦	65536	136979	3	{i=0}
-136976	架空	65536	26550	3	{v=0, vn=13}
-136977	癞癣	65536	30302	3	{n=0}
-136978	得主	65536	24471	3	{n=3}
-136979	白日做	110185	199379	1	null
-136980	白晃晃	65536	199473	3	{z=0}
-136981	敞露	65536	25950	3	{v=0}
-136982	白暨豚	65536	199574	3	{n=0}
-136983	白木耳	65536	199702	3	{n=0}
-136984	津液	65536	27941	3	{n=0}
-136985	清风明	104470	203240	1	null
-136986	双臂	65536	21452	3	{n=1}
-136987	回望	65536	22238	3	{v=0}
-136988	套衫	65536	22871	3	{n=0}
-136989	悬灯	80753	24748	1	null
-136990	白杨树	65536	199766	3	{n=0}
-136991	火箭炮	65536	195100	3	{n=0}
-136992	白条猪	65536	199759	3	{n=0}
-136993	白桦林	65536	200020	3	{n=0}
-136994	前邵	65858	21069	1	null
-136995	白毛女	65536	200905	3	{n=1, nr=0}
-136996	口袋	65536	21475	3	{n=7, q=0}
-136997	应付	65536	24212	3	{v=20, vn=1}
-136998	归咎	65536	24402	3	{v=1}
-136999	白求恩	65536	201008	3	{n=0, nr=1}
-137000	夜班	65536	22812	3	{n=4}
-137001	白水城	65536	200994	3	{ns=0}
-137002	军风	65536	20891	3	{n=0}
-137003	白沙瓦	65536	201095	3	{ns=0}
-137004	并排	65536	24182	3	{d=0}
-137005	头年	65536	22836	3	{t=0}
-137006	白沟镇	65536	201101	3	{ns=0}
-137007	白河县	65536	201121	3	{ns=0}
-137008	牢固	65536	29282	3	{a=8, ad=8}
-137009	洗涤灵	65536	163913	3	{n=0}
-137010	白洋淀	65536	201209	3	{ns=6}
-137011	变质	68891	21464	2	{v=2, vn=2}
-137012	白湖乡	65536	201540	3	{ns=0}
-137013	出谋	67153	20986	1	null
-137014	撞骗	65536	25758	3	{v=0}
-137015	揭短	65536	25581	3	{v=0, vn=0}
-137016	生存斗	115461	191857	1	null
-137017	润滑油	65536	135025	3	{n=0}
-137018	白炽灯	65536	202155	3	{n=0}
-137019	白炽电灯	65536	138240	3	{n=0}
-137020	白热化	65536	202203	3	{v=1, vn=0}
-137021	白玉六	99952	202871	1	null
-137022	白玉六郎	109102	137021	1	null
-137023	发烧	65536	21457	3	{b=0, v=2, vn=0}
-137024	白玉兰	65536	202871	3	{n=0, nz=1}
-137025	显明	65536	26174	3	{a=1}
-137026	执著	65536	25191	3	{a=7, ad=1, an=0}
-137027	施威	65536	26045	3	{v=0}
-137028	挑拣	65536	25361	3	{v=0}
-137029	发热	65606	21457	2	{v=2, vn=0}
-137030	内骨	65536	20869	1	null
-137031	套袖	65536	22871	3	{n=0}
-137032	后期	65536	21518	3	{f=9, t=0}
-137033	挑拨	85293	25361	2	{v=0}
-137034	湖南路	65536	149950	3	{ns=0}
-137035	慢镜	91087	24930	1	null
-137036	白玉六郎洞	65536	137022	3	{ns=0}
-137037	斑豹	98958	26001	1	null
-137038	搭救	65536	25645	3	{v=1}
-137039	油菜籽	65536	192340	3	{n=0}
-137040	白琳镇	65536	203041	3	{ns=0}
-137041	白璧微瑕	65536	137045	3	{i=0}
-137042	根深蒂	102351	149803	1	null
-137043	影评	65536	24433	3	{n=2}
-137044	白璧无瑕	65536	138631	3	{i=1}
-137045	白璧微	107260	203157	1	null
-137046	同江	65536	21516	3	{ns=1}
-137047	晴雨计	65536	139123	3	{n=0}
-137048	电解法	65536	204328	3	{n=0}
-137049	和龙	65536	21644	3	{ns=0}
-137050	白生生	65536	203277	3	{z=0}
-137051	生活化	65536	196436	3	{v=0, vn=1}
-137052	癞皮	107415	30302	1	null
-137053	得了	89782	24471	2	{v=5, y=0}
-137054	白癜风	65536	203594	3	{n=0}
-137055	白白净	116128	203627	1	null
-137056	白白净净	65536	137055	3	{z=0}
-137057	回条	65536	22238	3	{n=0}
-137058	畜养	65536	30044	3	{v=0}
-137059	围观	65891	22260	2	{v=3, vn=2}
-137060	清水江	65536	191822	3	{ns=0}
-137061	回来	65536	22238	3	{v=47}
-137062	液体	65536	28082	3	{n=5}
-137063	白皑皑	65536	203647	3	{z=1}
-137064	白眼珠	65536	203818	3	{n=0}
-137065	白皮书	65536	203676	3	{n=0}
-137066	白矮星	65536	203996	3	{n=0}
-137067	最惠	99711	26368	1	null
-137068	洗衣粉	107913	170760	2	{n=0}
-137069	漏子	65536	28431	3	{n=0}
-137070	白砂糖	65536	204016	3	{n=1}
-137071	白米饭	65536	205153	3	{n=0}
-137072	殉职	65536	27529	3	{v=0}
-137073	台胞	65536	21488	3	{n=11}
-137074	套裁	65536	22871	3	{v=0}
-137075	牛皮菜	65536	184408	3	{n=0}
-137076	漫不	99338	28459	1	null
-137077	挨饿	65536	25384	3	{v=1}
-137078	套装	65536	22871	3	{n=1}
-137079	白粉病	65536	205175	3	{n=1}
-137080	土家	76413	22303	2	{nz=0}
-137081	白纸黑字	65536	155399	3	{i=1}
-137082	单色	70054	21333	2	{b=0}
-137083	白细胞	65536	205748	3	{n=0}
-137084	抢收	65536	25250	3	{v=0, vn=0}
-137085	燃爆	65536	29123	3	{v=1}
-137086	揭破	65536	25581	3	{v=0}
-137087	生活区	65536	196436	3	{n=3, s=0}
-137088	白纸坊	65536	205734	3	{ns=1}
-137089	抢攻	65536	25250	3	{v=0, vn=0}
-137090	白色恐怖	65536	137156	3	{i=1, l=0}
-137091	白色据点	65536	137954	3	{n=0}
-137092	白芙蓉	65536	206727	3	{nz=0}
-137093	白苍苍	65536	206779	3	{z=0}
-137094	攻无	97990	25915	1	null
-137095	喜结	65582	21916	1	null
-137096	尖锐	65536	23574	3	{a=12, ad=0, an=0}
-137097	白茫茫	65536	206873	3	{z=0}
-137098	套裙	65536	22871	3	{n=0}
-137099	白花花	65536	206751	3	{z=1}
-137100	步子	65536	27493	3	{n=5}
-137101	白莲教	65536	207008	3	{n=0}
-137102	后来	73794	21518	2	{d=0, f=0, t=66}
-137103	白菜心	65536	207050	3	{n=1}
-137104	炕头	65536	28821	3	{n=3}
-137105	得人	86812	24471	1	null
-137106	影调	90071	24433	2	{n=1}
-137107	富翁	65536	23500	3	{n=1}
-137108	差额	71509	24046	2	{n=3}
-137109	套裤	65536	22871	3	{n=0}
-137110	白萝卜	65536	207115	3	{n=1}
-137111	抢救	65536	25250	3	{v=36, vn=10}
-137112	分行	65536	20998	3	{n=51, v=0}
-137113	性生	84702	24615	1	null
-137114	泛神	92985	27867	1	null
-137115	白葡萄	99918	207183	1	null
-137116	物理性	97631	163579	1	null
-137117	旱冰鞋	65536	135106	3	{n=0}
-137118	枯寂	65536	26543	3	{an=0}
-137119	密歇	79393	23494	1	null
-137120	白葡萄酒	65536	137115	3	{n=0}
-137121	白蒙蒙	65536	207239	3	{z=0}
-137122	可知	65536	21487	3	{v=1}
-137123	白虎团	65536	207676	3	{nz=1}
-137124	炒买	103701	28818	1	null
-137125	特种工	100498	188432	1	null
-137126	渣滓	65536	28195	3	{n=0}
-137127	理事国	65536	174253	3	{n=12}
-137128	地光	65536	22320	3	{n=0}
-137129	圆规	65536	22278	3	{n=0}
-137130	白蜡树	65536	207887	3	{n=0}
-137131	白衣天使	65536	137136	3	{l=2, n=0}
-137132	涉外	107045	28041	2	{v=3, vd=0, vn=13}
-137133	炉台	65536	28809	3	{n=0}
-137134	白衣战士	65536	139423	3	{n=0}
-137135	白血球	65536	208174	3	{n=0}
-137136	白衣天	116780	208209	1	null
-137137	白话文学	65536	137141	3	{l=0}
-137138	同治	65536	21516	3	{n=0, t=0}
-137139	白费力气	65536	137167	3	{l=0}
-137140	灿若	112378	28799	1	null
-137141	白话文	113739	209099	2	{n=0}
-137142	白费口舌	65536	137495	3	{l=0}
-137143	圆角	65536	22278	3	{n=1}
-137144	清水河	65536	191822	3	{ns=2}
-137145	活动性	65536	173543	3	{n=0}
-137146	燃烧弹	65536	136798	3	{n=0}
-137147	白费心思	65536	140535	3	{l=0}
-137148	得以	65536	24471	3	{d=1, v=59}
-137149	才源	65536	25165	3	{n=2}
-137150	白金汉	113691	210623	1	null
-137151	怪癖	65536	24618	3	{n=0}
-137152	掉队	65536	25481	3	{v=1}
-137153	半身	70565	21322	2	{b=0, n=1}
-137154	电磁学	65536	199942	3	{n=0}
-137155	灾患	65536	28798	3	{n=0}
-137156	白色恐	112492	206688	1	null
-137157	后果	65536	21518	3	{n=31}
-137158	白金汉宫	65536	137150	3	{ns=0}
-137159	双良	65536	21452	3	{nz=0}
-137160	头式	65536	22836	3	{n=0}
-137161	毫微	95765	27627	1	null
-137162	白钨矿	65536	211350	3	{n=0}
-137163	白铁皮	65536	211375	3	{n=0}
-137164	疾呼	65536	30142	3	{v=0}
-137165	斗勇	65536	26007	3	{v=0}
-137166	犹大	65536	29369	3	{n=0}
-137167	白费力	109471	209447	1	null
-137168	白银市	65536	211428	3	{ns=1}
-137169	犹太	113889	29369	2	{nz=4}
-137170	白雪公	117148	211928	1	null
-137171	军饷	65536	20891	3	{n=0}
-137172	插头	65536	25554	3	{n=2}
-137173	恶习	65536	24694	3	{n=0}
-137174	土尔	75711	22303	1	null
-137175	白雪公主	65536	137170	3	{n=1}
-137176	寒伧	65536	23506	3	{a=0, v=0}
-137177	洋洋洒	101299	182268	1	null
-137178	白雪皑皑	65536	146679	3	{i=1}
-137179	揭碑	65536	25581	3	{v=0}
-137180	白面书	107198	212048	1	null
-137181	白面书生	65536	137180	3	{n=0}
-137182	扶智	65536	25206	3	{v=1}
-137183	后架	65536	21518	3	{n=1}
-137184	白领阶	113567	212340	1	null
-137185	白领阶层	65536	137184	3	{n=0}
-137186	白首穷	104727	212612	1	null
-137187	扬扬	81731	25196	1	null
-137188	商用	65536	21830	3	{b=3, n=0, vn=2}
-137189	灾情	65536	28798	3	{n=41}
-137190	白首穷经	65536	137186	3	{i=0}
-137191	油气田	65536	186252	3	{n=2}
-137192	狠心	104758	29408	2	{a=0, ad=0, an=0}
-137193	白马王	113820	212826	1	null
-137194	无所适	99955	177031	1	null
-137195	斯摩	92269	26031	1	null
-137196	白马王子	65536	137193	3	{n=0}
-137197	模仿	65536	27169	3	{v=5, vn=0}
-137198	白骨精	65536	212886	3	{n=0}
-137199	由上	102553	30001	1	null
-137200	由下	103044	30001	1	null
-137201	泄底	65536	27844	3	{v=0}
-137202	白鲢鱼	65536	213392	3	{n=0}
-137203	抢断	65536	25250	3	{v=0}
-137204	坐立	77303	22352	1	null
-137205	洼田	65536	27964	3	{n=1}
-137206	欲罢	105896	27442	1	null
-137207	烦嚣	65536	28902	3	{a=0}
-137208	白鳍豚	65536	213435	3	{n=0}
-137209	护卫	82131	25252	2	{n=1, v=2, vn=1}
-137210	瓜亚	112770	29916	1	null
-137211	澳抗	65536	28595	3	{n=0}
-137212	白鳞鱼	65536	213452	3	{n=0}
-137213	白鹿泉乡	65536	143658	3	{ns=0}
-137214	原虫	65536	21407	3	{n=0}
-137215	白龟池	65536	214157	3	{ns=0}
-137216	白鹿原	65536	213869	3	{ns=7}
-137217	征地	65536	24449	3	{v=0, vn=1}
-137218	百万富	104521	181728	1	null
-137219	找钱	65536	25214	3	{v=0}
-137220	土层	65536	22303	3	{n=0}
-137221	图表	65536	22270	3	{n=7}
-137222	就绪	65536	23601	3	{v=5}
-137223	普通话	65536	162865	3	{n=19}
-137224	商界	65536	21830	3	{n=6}
-137225	淘汰法	65536	130485	3	{n=0}
-137226	百万富翁	65536	137218	3	{n=1}
-137227	渡江	105812	28193	1	null
-137228	止血钳	65536	145727	3	{n=0}
-137229	土屋	65536	22303	3	{n=1}
-137230	分裂	68182	20998	2	{v=19, vn=10}
-137231	百万雄师	65536	152314	3	{i=0}
-137232	百业兴	111128	181747	1	null
-137233	分装	65536	20998	3	{v=0}
-137234	百业兴旺	65536	137232	3	{i=0, l=2}
-137235	百业待兴	65536	140833	3	{i=0}
-137236	百事可乐	65536	137238	3	{nz=0}
-137237	百依百	98206	182134	1	null
-137238	百事可	117188	181860	1	null
-137239	痰喘	65536	30192	3	{n=0}
-137240	百依百顺	65536	137237	3	{i=0}
-137241	特殊性	65536	184781	3	{n=8}
-137242	百分之百	65536	137815	3	{i=3, m=0}
-137243	拆洗	65536	25286	3	{v=0}
-137244	古稀	72691	21476	2	{n=3}
-137245	怀涿	65536	24576	3	{ns=0}
-137246	百刻图	65536	182804	3	{n=1}
-137247	百卉吐	103853	183074	1	null
-137248	百卉吐艳	65536	137247	3	{i=1}
-137249	瓜仁	65536	29916	3	{n=0}
-137250	头彩	65536	22836	3	{n=1}
-137251	摘除	65536	25688	3	{v=1}
-137252	有机肥	96370	181212	2	{n=2}
-137253	废止	65536	24223	3	{v=3, vn=1}
-137254	百发百	117242	183210	1	null
-137255	百发百中	65536	137254	3	{i=0}
-137256	托派	65536	25176	3	{n=0}
-137257	犹如	65536	29369	3	{d=0, v=19}
-137258	得体	65536	24471	3	{a=7}
-137259	百听不	115874	183301	1	null
-137260	泛称	65536	27867	3	{v=0}
-137261	百叶窗	65536	183247	3	{n=0}
-137262	百听不厌	65536	137259	3	{l=0}
-137263	恶人	65536	24694	3	{n=0}
-137264	百合科	65536	183265	3	{n=0}
-137265	百团大	112158	183995	1	null
-137266	淮河	65536	28142	3	{ns=40}
-137267	土山	65536	22303	3	{ns=0}
-137268	畏光	65536	30031	3	{v=0}
-137269	电解液	65536	204328	3	{n=0}
-137270	百团大战	65536	137265	3	{nz=1}
-137271	百姓家	65536	184748	3	{n=3}
-137272	同流	72115	21516	1	null
-137273	百孔千	107148	185133	1	null
-137274	百孔千疮	65536	137273	3	{i=1}
-137275	游艺机	65536	186002	3	{n=8}
-137276	百宝箱	65536	185206	3	{n=0}
-137277	服役	65536	26381	3	{v=1, vn=1}
-137278	晓谕	65536	26195	3	{v=0}
-137279	性病	89271	24615	2	{n=1}
-137280	德国	65536	24503	3	{ns=194}
-137281	快中	88872	24555	1	null
-137282	百家争鸣	65536	137290	3	{i=1}
-137283	百富勤	65536	185253	3	{nz=14}
-137284	潞河	65536	28510	3	{ns=0}
-137285	同济	65536	21516	3	{nz=1}
-137286	百尺竿	114453	185363	1	null
-137287	杂货铺	65536	175051	3	{n=0}
-137288	沿河	65536	27839	3	{n=1, ns=0}
-137289	百尺竿头	65536	137286	3	{i=0}
-137290	百家争	96799	185231	1	null
-137291	撒播	91249	25746	2	{v=1}
-137292	百岁堂	65536	185434	3	{n=0}
-137293	百川归	109271	185782	1	null
-137294	百川归海	65536	137293	3	{i=0}
-137295	百年不遇	65536	137307	3	{i=2}
-137296	百年之后	65536	137369	3	{i=1}
-137297	合眼	65536	21512	3	{v=1}
-137298	土岐	65536	22303	3	{nr=0}
-137299	欧姆表	65536	138043	3	{n=0}
-137300	百年大计	65536	140149	3	{i=2}
-137301	悲欢	82098	24754	2	{n=2}
-137302	百年树人	65536	143967	3	{i=0}
-137303	加高	65536	21152	3	{v=1, vn=0}
-137304	添枝	109483	28155	1	null
-137305	土岗	65536	22303	3	{n=0}
-137306	夜生	71605	22812	1	null
-137307	百年不	100360	185933	1	null
-137308	毡笠	65536	27617	3	{n=0}
-137309	溃散	65536	28291	3	{v=0}
-137310	服务业	65536	133989	3	{n=10}
-137311	百废俱	116465	185976	1	null
-137312	水泥路	65536	188833	3	{n=3}
-137313	怪相	65536	24618	3	{n=0}
-137314	国境	65832	22269	2	{n=1}
-137315	猴子	95792	29492	2	{n=1}
-137316	快乐	65536	24555	3	{a=35, an=6, nz=0}
-137317	百废俱兴	65536	137311	3	{i=0}
-137318	百废具兴	65536	137701	3	{i=0}
-137319	百强县	65536	186131	3	{n=7}
-137320	百态纷	115749	186330	1	null
-137321	暖暖	99972	26262	1	null
-137322	百废待举	65536	141299	3	{i=0}
-137323	口角	65543	21475	2	{n=2}
-137324	擦边	88084	25830	1	null
-137325	百态纷呈	65536	137320	3	{l=1}
-137326	出资	68018	20986	2	{v=19, vn=0}
-137327	土岭	76504	22303	1	null
-137328	敲边	77872	25970	1	null
-137329	团藻	65536	22242	3	{n=0}
-137330	坐等	65536	22352	3	{v=6}
-137331	由于	65536	30001	3	{c=268, d=1, p=217}
-137332	百思不	112862	186358	1	null
-137333	百思不得	116481	137332	1	null
-137334	批示	65536	25209	3	{n=9, v=8, vn=1}
-137335	百思不得其	102038	137333	1	null
-137336	挨骂	65536	25384	3	{v=0}
-137337	百思不得其解	65536	137335	3	{i=1, n=0}
-137338	快书	65536	24555	3	{n=0}
-137339	理想家	65536	178965	3	{n=0}
-137340	枣茶	65536	26531	3	{n=0}
-137341	浊气	65536	27978	3	{n=0}
-137342	杏花	96969	26447	2	{n=1}
-137343	悲歌	65536	24754	3	{n=2}
-137344	百感丛生	65536	137350	3	{l=0}
-137345	百感交集	65536	137487	3	{i=0}
-137346	畜力	65536	30044	3	{n=0}
-137347	北角	65536	21271	3	{ns=2}
-137348	揭示	65536	25581	3	{v=33, vn=0}
-137349	捣鼓	65536	25443	3	{v=0}
-137350	百感丛	107361	186616	1	null
-137351	瓶子	65536	29942	3	{n=2}
-137352	地利	76800	22320	2	{n=1}
-137353	琉璃寺	65536	135297	3	{ns=0}
-137354	涌浪	65536	28044	3	{n=0}
-137355	百战不	109831	186865	1	null
-137356	存货	65536	23384	3	{n=0}
-137357	百战不殆	65536	137355	3	{i=0}
-137358	百战百胜	65536	147708	3	{i=0}
-137359	百折不	115123	186993	1	null
-137360	炒作	65536	28818	3	{v=1}
-137361	百折不回	65536	137359	3	{i=0}
-137362	百无一	114533	187833	1	null
-137363	存贮	81286	23384	2	{vn=0}
-137364	浸染	65536	28024	3	{v=0, vn=0}
-137365	反目	72406	21453	2	{v=0}
-137366	百无一失	65536	137362	3	{i=0}
-137367	百无禁忌	65536	148499	3	{i=0}
-137368	百无聊赖	65536	150236	3	{i=0}
-137369	百年之	115778	185933	1	null
-137370	出走	65536	20986	3	{v=0, vn=0}
-137371	百日咳	65536	187838	3	{n=0}
-137372	存贷	75957	23384	2	{n=1, vn=1}
-137373	浊水	101320	27978	2	{n=0}
-137374	半辈	67169	21322	1	null
-137375	摆地	91750	25670	1	null
-137376	消耗热	65536	185586	3	{n=0}
-137377	步履	93661	27493	2	{n=7, v=1}
-137378	浮动汇	100318	173720	1	null
-137379	百日维新	65536	148188	3	{l=0}
-137380	百步穿	110909	189246	1	null
-137381	百步穿杨	65536	137380	3	{i=0}
-137382	百灵鸟	65536	190542	3	{n=0}
-137383	百炼成	99335	190613	1	null
-137384	反省	65536	21453	3	{v=4, vn=4}
-137385	百炼成钢	65536	137383	3	{i=0}
-137386	百看不	116000	192228	1	null
-137387	概率	89599	27010	2	{n=1}
-137388	百看不厌	65536	137386	3	{i=0}
-137389	珠宝店	65536	140526	3	{n=0}
-137390	播音	96110	25773	2	{v=0, vn=2}
-137391	出超	65536	20986	3	{v=0, vn=0}
-137392	烈军	109021	28872	1	null
-137393	百科全	117324	192938	1	null
-137394	百科全书	113060	137393	2	{n=6}
-137395	百科全书式	65536	137394	3	{b=0, n=1}
-137396	名手	65536	21517	3	{n=1}
-137397	百科辞典	65536	153319	3	{n=0}
-137398	百老汇	65536	194522	3	{n=1, ns=0}
-137399	渗透法	65536	147939	3	{n=1}
-137400	百舌鸟	65536	195045	3	{n=0}
-137401	百般刁	98813	195077	1	null
-137402	发牢	65537	21457	1	null
-137403	百般刁难	65536	137401	3	{l=0}
-137404	百般无奈	65536	142488	3	{l=0}
-137405	百舸争	109441	195089	1	null
-137406	数据项	65536	152031	3	{n=0}
-137407	瑞典	99413	29790	2	{ns=36}
-137408	生存期	65536	191857	3	{t=0}
-137409	发物	65536	21457	3	{n=0}
-137410	百舸争流	65536	137405	3	{i=1}
-137411	猩红	105569	29481	2	{z=0}
-137412	滤波	109487	28388	2	{v=0}
-137413	百色市	65536	195147	3	{ns=0}
-137414	桅顶	65536	26693	3	{n=0}
-137415	形槽	65536	24418	3	{n=0}
-137416	军马	65536	20891	3	{n=0}
-137417	洒脱	65536	27922	3	{a=4}
-137418	百花争艳	65536	137521	3	{i=1}
-137419	熙攘	65536	29081	3	{z=1}
-137420	案由	65536	26696	3	{n=0}
-137421	柴草	65536	26612	3	{n=1}
-137422	快人	87695	24555	1	null
-137423	半边	67731	21322	2	{n=0}
-137424	白头到	104175	196130	1	null
-137425	恶作	91968	24694	1	null
-137426	溺爱	65536	28346	3	{v=2}
-137427	各谋	72246	21508	1	null
-137428	百花齐放	65536	158200	3	{i=2}
-137429	名扬	71544	21517	2	{v=0}
-137430	检查组	65536	138373	3	{n=9}
-137431	废气	65536	24223	3	{n=4}
-137432	百褶裙	65536	196879	3	{n=0}
-137433	百读不	116047	197588	1	null
-137434	百衲本	65536	196683	3	{n=0}
-137435	百读不厌	65536	137433	3	{i=0}
-137436	撒放	65536	25746	3	{v=1, vn=1}
-137437	百货公司	65536	137546	3	{n=1}
-137438	烤红	98545	28900	1	null
-137439	百货商店	65536	138532	3	{n=2}
-137440	百货大楼	65536	139525	3	{n=6}
-137441	测度	65536	27979	3	{v=1}
-137442	抹香	75543	25273	1	null
-137443	百里挑一	65536	137447	3	{i=1}
-137444	生存权	65536	191857	3	{n=1}
-137445	火药桶	65536	197086	3	{n=1}
-137446	汾酒	65536	27774	3	{n=0, nz=0}
-137447	百里挑	117475	199077	1	null
-137448	椰肉	65536	26928	3	{n=0}
-137449	底片	87003	24213	2	{n=0}
-137450	底版	65536	24213	3	{n=0}
-137451	土崩	66645	22303	1	null
-137452	株连	104414	26666	2	{v=0, vn=3}
-137453	守约	65536	23432	3	{v=1}
-137454	底牌	65536	24213	3	{n=0}
-137455	我辈	65536	25105	3	{r=2}
-137456	百里洲镇	65536	140040	3	{ns=0}
-137457	率尔	108816	29575	1	null
-137458	男女排	65536	165179	3	{j=0}
-137459	浴池	65536	28020	3	{n=0}
-137460	百闻不	114554	200148	1	null
-137461	国外	65536	22269	3	{ns=0, s=107}
-137462	淮海	105324	28142	2	{ns=2}
-137463	废水	65536	24223	3	{n=8}
-137464	寒假	65536	23506	3	{t=5}
-137465	棕竹	65536	26837	3	{n=0}
-137466	地力	65536	22320	3	{n=0}
-137467	物价指	107724	154092	1	null
-137468	百闻不如	117503	137460	1	null
-137469	湛蓝	65536	28251	3	{z=4}
-137470	景天	65536	26223	3	{n=0}
-137471	百闻不如一	102209	137468	1	null
-137472	甩头	65536	29993	3	{v=0}
-137473	疼痛	65536	30140	3	{a=1, an=2, n=0}
-137474	百闻不如一见	65536	137471	3	{l=1, n=0}
-137475	敦雷	65536	25958	3	{ns=0}
-137476	弹拨	90669	24377	1	null
-137477	百鸟之	107912	202232	1	null
-137478	国大	75531	22269	2	{nz=0}
-137479	地动	76760	22320	1	null
-137480	喜联	65536	21916	3	{n=0}
-137481	斯文	93960	26031	2	{a=0}
-137482	快件	65536	24555	3	{n=1}
-137483	异兽	65536	24322	3	{n=0}
-137484	沿海	106287	27839	2	{f=50}
-137485	名护	65536	21517	3	{ns=0}
-137486	照明灯	65536	175894	3	{n=0}
-137487	百感交	98747	186616	1	null
-137488	分规	65536	20998	3	{n=0}
-137489	德城	90290	24503	1	null
-137490	柯达	65536	26607	3	{nz=7}
-137491	百鸟之王	65536	137477	3	{n=0}
-137492	皂白不	116498	137494	1	null
-137493	文化站	65536	168038	3	{n=2}
-137494	皂白	117511	30338	2	{n=0}
-137495	白费口	103850	209447	1	null
-137496	皂白不分	65536	137492	3	{i=0}
-137497	出路	65536	20986	3	{n=21, v=0}
-137498	发狂	65536	21457	3	{v=0}
-137499	批租	65536	25209	3	{vn=1}
-137500	的卡	65536	30340	3	{n=0}
-137501	子棉	65536	23376	3	{n=0}
-137502	地势	65536	22320	3	{n=2}
-137503	槐花	65536	27088	3	{n=0}
-137504	同温	70012	21516	1	null
-137505	的确良	65536	146985	3	{n=0}
-137506	揭秘	65536	25581	3	{v=2}
-137507	弹指	90676	24377	1	null
-137508	渭水	65536	28205	3	{ns=4}
-137509	的里雅	111479	153479	1	null
-137510	的里雅斯	108207	137509	1	null
-137511	处长	65536	22788	3	{n=23}
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-137513	异军	78941	24322	1	null
-137514	半途	65669	21322	1	null
-137515	的里雅斯特市	65536	137512	3	{ns=0}
-137516	师母	65536	24072	3	{n=0}
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-137518	的黎波里	65536	137517	3	{ns=1}
-137519	分解	66087	20998	2	{v=11, vn=0}
-137520	皆大	110096	30342	1	null
-137521	百花争	104023	195210	1	null
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-137523	皆大欢喜	65536	137522	3	{i=1}
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-137526	皇亲国戚	65536	137525	3	{n=0}
-137527	地勘	65536	22320	3	{j=1}
-137528	发狠	65536	21457	3	{v=0}
-137529	皇城根	65536	170754	3	{ns=0}
-137530	智术	65536	26234	3	{n=0}
-137531	皈依	65536	30344	3	{v=0}
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-137533	皇太后	65536	171102	3	{n=0}
-137534	杜甫	65536	26460	3	{nr=1}
-137535	电信号	65536	189478	3	{n=1}
-137536	椰胡	65536	26928	3	{n=0}
-137537	掩饰	65536	25513	3	{v=4, vn=0}
-137538	张江	65536	24352	3	{nr=1, ns=0}
-137539	地勤	65536	22320	3	{n=0}
-137540	国奥	65784	22269	2	{j=1}
-137541	痢疾	65536	30178	3	{n=0}
-137542	昏死	65536	26127	3	{v=0}
-137543	百叶箱	65536	183247	3	{n=0}
-137544	皑皑	65536	30353	3	{z=3}
-137545	皓月	113144	30355	1	null
-137546	百货公	115941	197888	1	null
-137547	皓月当	106195	137545	1	null
-137548	棉纺织	65536	158390	3	{n=1}
-137549	皓月当空	65536	137547	3	{i=0}
-137550	渊海	65536	28170	3	{n=0}
-137551	皇姑区	65536	171269	3	{ns=0}
-137552	皓首穷	105093	150487	1	null
-137553	浇水	65536	27975	3	{v=3, vn=0}
-137554	少生	82630	23569	1	null
-137555	渐次	65536	28176	3	{d=1}
-137556	皓首穷经	65536	137552	3	{i=0}
-137557	皖南事	116095	137622	1	null
-137558	皖北	65536	30358	3	{ns=2}
-137559	皖南事变	65536	137557	3	{nz=2}
-137560	皮下组	105110	180534	1	null
-137561	布丁	65536	24067	3	{n=1}
-137562	枝蔓	65536	26525	3	{n=1}
-137563	梅园	98923	26757	1	null
-137564	怪石	65536	24618	3	{n=0}
-137565	皮下组织	65536	137560	3	{l=0}
-137566	皮划艇	65536	181565	3	{n=1}
-137567	工作队	65536	149420	3	{n=8}
-137568	皮包公	116073	181808	1	null
-137569	皮包公司	65536	137568	3	{n=0}
-137570	涉嫌	65536	28041	3	{v=15, vn=2}
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-137572	皮山县	65536	184220	3	{ns=0}
-137573	望城	102583	26395	2	{ns=0}
-137574	皮开肉	105073	184875	1	null
-137575	皮带机	65536	184657	3	{n=0}
-137576	就职	65536	23601	3	{v=9, vn=3}
-137577	半道	65536	21322	3	{s=0}
-137578	少男	83619	23569	2	{n=0}
-137579	戒骄	89108	25106	1	null
-137580	浦江	65536	28006	3	{nr=1, ns=1}
-137581	熟石膏	65536	165028	3	{n=0}
-137582	皮开肉绽	65536	137574	3	{i=0}
-137583	受辱	65536	21463	3	{v=0}
-137584	滑翔机	65536	158456	3	{n=0}
-137585	白血病	65536	208174	3	{n=2}
-137586	桥台	65536	26725	3	{n=1}
-137587	皮影戏	65536	184988	3	{n=0}
-137588	皮桶子	65536	187297	3	{n=0}
-137589	旱季	65536	26097	3	{n=0}
-137590	清清楚	103794	192287	1	null
-137591	皮脂腺	65536	193581	3	{n=0}
-137592	归因	90732	24402	1	null
-137593	古筝	65536	21476	3	{n=1}
-137594	植物纤	92711	134142	1	null
-137595	皮茄克	65536	194095	3	{n=0}
-137596	废油	65536	24223	3	{n=0}
-137597	朱漆	65536	26417	3	{n=0}
-137598	皮褥子	65536	195664	3	{n=0}
-137599	并日	76700	24182	1	null
-137600	图解	68648	22270	2	{v=2, vn=0}
-137601	浙江	103350	27993	2	{ns=74}
-137602	皮肤病	65536	193487	3	{n=0}
-137603	皮货商	65536	196690	3	{n=0}
-137604	撒旦	65536	25746	3	{ns=0}
-137605	皮辊棉	65536	197301	3	{n=0}
-137606	吃透	65536	21507	3	{v=7}
-137607	同源	65536	21516	3	{v=0, vn=0}
-137608	皮里抽	104705	197879	1	null
-137609	新华门	65536	172682	3	{ns=0}
-137610	皮里抽肉	65536	137608	3	{l=0}
-137611	白僵蚕	65536	194019	3	{n=0}
-137612	生物制	113941	197762	1	null
-137613	皮里阳秋	65536	150782	3	{i=0}
-137614	应允	65536	24212	3	{v=0, vn=1}
-137615	桥名	65536	26725	3	{n=1}
-137616	皮鞋油	65536	199350	3	{n=0}
-137617	怒色	65536	24594	3	{n=0}
-137618	皱巴巴	65536	137748	3	{z=1}
-137619	四氯	74570	22235	1	null
-137620	滤液	65536	28388	3	{n=0}
-137621	归国	65536	24402	3	{v=0, vn=2}
-137622	皖南	117450	30358	2	{n=0, ns=1}
-137623	施展	65536	26045	3	{nr=0, v=9}
-137624	旱冰馆	65536	135106	3	{n=0}
-137625	地区	75470	22320	2	{n=1190, s=0}
-137626	癫痫	106673	30315	2	{n=4}
-137627	宽街	65536	23485	3	{ns=0}
-137628	波特率	65536	161380	3	{n=0}
-137629	清凉油	65536	185059	3	{n=5}
-137630	军魂	65536	20891	3	{n=1}
-137631	皱皱巴	113580	144081	1	null
-137632	皱皱巴巴	65536	137631	3	{z=0}
-137633	带队	65536	24102	3	{v=10, vd=0, vn=0}
-137634	海绵田	65536	195819	3	{n=0}
-137635	渭河	65536	28205	3	{ns=0}
-137636	皱眉头	65536	144169	3	{v=0}
-137637	水电站	65536	190961	3	{n=3}
-137638	殉节	65536	27529	3	{v=0}
-137639	宽衣	65536	23485	3	{v=0}
-137640	反码	65536	21453	3	{n=0}
-137641	海蜇皮	65536	197885	3	{n=0}
-137642	浊流	65536	27978	3	{n=0}
-137643	皲裂	65536	30386	3	{v=0}
-137644	盂县	65536	30402	3	{ns=1}
-137645	清爽爽	65536	193367	3	{z=1}
-137646	皴法	65536	30388	3	{n=0}
-137647	盅子	65536	30405	3	{n=0}
-137648	盆腔炎	65536	148948	3	{n=0}
-137649	棕箱	65536	26837	3	{n=0}
-137650	燕麦草	65536	164695	3	{n=1}
-137651	搭架	94011	25645	1	null
-137652	盈千累	117680	139554	1	null
-137653	扶桑	65536	25206	3	{n=2}
-137654	氟化钙	65536	127526	3	{n=0}
-137655	盈千累万	65536	137652	3	{i=0}
-137656	封火	65536	23553	3	{v=0}
-137657	牵制	65536	29301	3	{v=2, vn=2}
-137658	盈怀充	111024	142815	1	null
-137659	盈怀充栋	65536	137658	3	{i=0}
-137660	益寿延	113481	140059	1	null
-137661	益寿延年	65536	137660	3	{i=0}
-137662	炎日	65536	28814	3	{n=1}
-137663	益母草	65536	144105	3	{n=0}
-137664	益鑫泰	65536	154503	3	{nz=0}
-137665	益阳市	65536	154959	3	{ns=0}
-137666	盎司	65536	30414	3	{q=9}
-137667	源源本	104830	147147	1	null
-137668	泄恨	65536	27844	3	{v=0}
-137669	土布	65536	22303	3	{n=0}
-137670	烤羊	99864	28900	1	null
-137671	盐坨子	65536	160704	3	{n=0}
-137672	渊深	65536	28170	3	{a=0}
-137673	揭穿	65536	25581	3	{v=1}
-137674	盐城市	65536	160806	3	{ns=0}
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-137679	梅坡	98511	26757	1	null
-137680	滩海	65536	28393	3	{n=0}
-137681	活动房	65536	173543	3	{n=0}
-137682	盐池县	65536	166072	3	{ns=0}
-137683	拿粗	90898	25343	1	null
-137684	炸弹	65536	28856	3	{n=16}
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-137686	狠心肠	65536	137192	3	{n=0}
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-137688	源源不绝	65536	131236	3	{i=0}
-137689	槐荫	104121	27088	1	null
-137690	盐汽水	65536	166101	3	{n=0}
-137691	滩涂	107296	28393	2	{n=7, ns=1}
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-137699	盐酸安非	112425	137710	1	null
-137700	地厅	66247	22320	1	null
-137701	百废具	116466	185976	1	null
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-137737	皮肤癌	65536	193487	3	{n=0}
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-137739	氰化钾	65536	127347	3	{n=0}
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-137742	把酒	65536	25226	3	{v=2}
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-137744	存身	65536	23384	3	{v=0}
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-137748	皱巴	113566	30385	1	null
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-137753	宽裕	65536	23485	3	{a=4}
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-137774	德士	90121	24503	1	null
-137775	浇洒	65536	27975	3	{v=1}
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-137777	盒式带	65536	138728	3	{n=0}
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-137779	摩纳	95861	25705	1	null
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-137785	扫除	65536	25195	3	{v=8, vn=1}
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-137802	忠顺	65536	24544	3	{a=0}
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-137808	盖茨堡	99599	157455	1	null
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-137810	朝阳路	65536	171470	3	{ns=0}
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-137813	土库	70224	22303	1	null
-137814	盖茨堡镇	65536	137808	3	{ns=2}
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-137820	盗名欺	117833	147818	1	null
-137821	寒冬	73111	23506	2	{n=5, t=2}
-137822	桃李	98287	26691	2	{n=3}
-137823	盗名欺世	65536	137820	3	{i=0}
-137824	搭档	65536	25645	3	{n=5, v=0}
-137825	盗码者	65536	157022	3	{n=1}
-137826	搭桥	88089	25645	2	{v=4, vn=0}
-137827	盗车人	65536	163011	3	{n=1}
-137828	盗卖案	65536	147635	3	{n=1}
-137829	模具	65536	27169	3	{n=1}
-137830	盘古开	115012	177179	1	null
-137831	渊源	65536	28170	3	{n=3}
-137832	寒冷	65536	23506	3	{a=21, an=5}
-137833	古籍	65536	21476	3	{n=13}
-137834	口译	65536	21475	3	{v=0}
-137835	尖音	65536	23574	3	{n=0}
-137836	地名	73580	22320	2	{n=3}
-137837	盘古开天	115522	137830	1	null
-137838	口试	65536	21475	3	{v=1}
-137839	汉语言	65536	182291	3	{n=1}
-137840	建交	65536	24314	3	{v=51, vn=6}
-137841	扶植	65536	25206	3	{v=9, vn=2}
-137842	盘古开天地	65536	137837	3	{l=1, n=0}
-137843	灭火枪	65536	141120	3	{n=0}
-137844	口诛	65545	21475	1	null
-137845	废液	65536	24223	3	{n=0}
-137846	布伞	65536	24067	3	{n=0}
-137847	掌舵	96640	25484	2	{n=0, v=2}
-137848	盘尼西	111332	179315	1	null
-137849	歇歇	65536	27463	3	{v=3}
-137850	植物群	91365	134142	1	null
-137851	盘尼西林	65536	137848	3	{n=0}
-137852	水晶石	65536	187186	3	{n=0}
-137853	氯化铵	65536	129970	3	{n=0}
-137854	氯化银	65536	129970	3	{n=0}
-137855	盘杠子	65536	182167	3	{v=0}
-137856	泄愤	65536	27844	3	{vn=0}
-137857	步幅	65536	27493	3	{n=0}
-137858	夏眠	65536	22799	3	{n=0}
-137859	盘根究	113648	182384	1	null
-137860	盘山县	65536	179368	3	{ns=0}
-137861	盘根究底	65536	137859	3	{i=0}
-137862	口语	65536	21475	3	{n=0}
-137863	滴剂	65536	28404	3	{n=0}
-137864	口误	65536	21475	3	{n=0}
-137865	概略	65536	27010	3	{n=1}
-137866	盗窃案	65536	157664	3	{n=4}
-137867	植胶	65536	26893	3	{n=4}
-137868	单薄	65536	21333	3	{a=3}
-137869	盘根错节	65536	144678	3	{i=0}
-137870	套话	65797	22871	2	{n=18}
-137871	盘锦市	65536	193885	3	{ns=0}
-137872	出车	65536	20986	3	{v=1}
-137873	盛况空	116806	175472	1	null
-137874	出轨	65536	20986	3	{v=1, vn=0}
-137875	盛况空前	65536	137873	3	{l=2}
-137876	氯化锌	65536	129970	3	{n=0}
-137877	盛名难	101751	176072	1	null
-137878	盛名难负	65536	137877	3	{l=1}
-137879	周长	65536	21608	3	{n=0, nr=0}
-137880	盛情难	116519	179328	1	null
-137881	族长	65536	26063	3	{n=0}
-137882	珠光	111522	29664	1	null
-137883	盛情难却	65536	137880	3	{l=1}
-137884	濡染	65536	28641	3	{v=1, vn=0}
-137885	盛极一	111787	181052	1	null
-137886	套语	65536	22871	3	{n=0}
-137887	政治课	65536	159752	3	{n=0}
-137888	的哥	65536	30340	3	{n=0}
-137889	盛极一时	65536	137885	3	{i=0}
-137890	工作面	65536	149420	3	{n=2}
-137891	献丑	65536	29486	3	{v=0}
-137892	异化	89988	24322	2	{v=2, vn=2}
-137893	盛果期	65536	181079	3	{t=0}
-137894	盛气凌	117745	182223	1	null
-137895	活字版	65536	175766	3	{n=0}
-137896	半醒	69238	21322	1	null
-137897	牡康	65536	29281	3	{nz=0}
-137898	污水	106520	27745	2	{n=19}
-137899	盛气凌人	65536	137894	3	{i=0}
-137900	标本虫	65536	155256	3	{n=0}
-137901	暖棚	65536	26262	3	{n=4}
-137902	盛衰荣	101121	189483	1	null
-137903	电位差	65536	189330	3	{n=0}
-137904	少白	84354	23569	1	null
-137905	珊瑚树	65536	134936	3	{n=0}
-137906	盛衰荣辱	65536	137902	3	{i=0}
-137907	盟兄弟	65536	139586	3	{n=0}
-137908	旋转	99637	26059	2	{v=6, vn=2}
-137909	白面儿	65536	212048	3	{n=0}
-137910	畏友	65536	30031	3	{n=0}
-137911	各路	65536	21508	3	{r=4}
-137912	狠抓	65536	29408	3	{v=61}
-137913	盥洗	116426	30437	2	{b=0}
-137914	盥洗台	65536	137913	3	{n=0}
-137915	恶兆	65536	24694	3	{n=0}
-137916	土建	72557	22303	2	{n=1}
-137917	森然	65536	26862	3	{z=0}
-137918	爱克斯	112536	178668	1	null
-137919	扫雪	65536	25195	3	{v=1}
-137920	目不交睫	65536	138169	3	{i=0}
-137921	珠兰	65536	29664	3	{n=0}
-137922	目不忍睹	65536	142562	3	{i=0}
-137923	独立师	65536	194201	3	{n=0}
-137924	并未	65536	24182	3	{d=21}
-137925	烤肉	65536	28900	3	{n=0}
-137926	目不斜视	65536	144049	3	{l=0}
-137927	期终	65536	26399	3	{t=0}
-137928	思潮	83949	24605	2	{n=9}
-137929	氯化镁	65536	129970	3	{n=0}
-137930	毁灭	101950	27585	2	{v=10, vn=1}
-137931	存车	80624	23384	1	null
-137932	扫雷	92852	25195	2	{v=0, vn=0}
-137933	生长激	103656	206744	1	null
-137934	可笑	65536	21487	3	{a=6, an=1}
-137935	目不窥园	65536	149434	3	{i=0}
-137936	客畅	84804	23458	1	null
-137937	得出	65536	24471	3	{v=14}
-137938	犯罪感	65536	154591	3	{n=1}
-137939	目不暇接	65536	144284	3	{i=6}
-137940	旅业	65536	26053	3	{j=0}
-137941	目不见睫	65536	153302	3	{i=0}
-137942	彩排	65536	24425	3	{v=5, vn=4}
-137943	搭棚	65536	25645	3	{v=0}
-137944	目不识丁	65536	153819	3	{i=0}
-137945	目不转睛	65536	154753	3	{i=1}
-137946	目中无	117797	156334	1	null
-137947	四海	75815	22235	2	{n=13, nz=0, s=0}
-137948	灭火栓	65536	141120	3	{n=0}
-137949	得分	86174	24471	2	{n=9, v=1, vn=0}
-137950	敬意	65536	25964	3	{n=15}
-137951	目中无人	65536	137946	3	{i=1}
-137952	目光如	109109	157130	1	null
-137953	目光如炬	65536	137952	3	{i=0}
-137954	白色据	108234	206688	1	null
-137955	目光短浅	65536	145739	3	{i=0}
-137956	文史馆	65536	168258	3	{n=0}
-137957	目击者	65536	157308	3	{n=1}
-137958	废渣	65536	24223	3	{n=2}
-137959	益友	65536	30410	3	{n=1}
-137960	应力	65536	24212	3	{n=0}
-137961	琴声	65536	29748	3	{n=0}
-137962	目力表	65536	157468	3	{n=0}
-137963	炒冷	93249	28818	1	null
-137964	状态	113495	29366	2	{n=111}
-137965	益发	65536	30410	3	{d=0}
-137966	尖顶	65536	23574	3	{n=0}
-137967	插屏	65536	25554	3	{n=0}
-137968	目指气	117618	161672	1	null
-137969	目指气使	65536	137968	3	{i=0}
-137970	欺生	65536	27450	3	{a=0}
-137971	目录名	65536	160726	3	{n=0}
-137972	甚嚣	111882	29978	1	null
-137973	布依	82611	24067	1	null
-137974	目无余子	65536	137975	3	{i=0}
-137975	目无余	114598	162401	1	null
-137976	出迎	65536	20986	3	{v=0}
-137977	登记册	65536	167601	3	{n=2}
-137978	出运	65536	20986	3	{j=0}
-137979	并条	83059	24182	1	null
-137980	瓜农	65536	29916	3	{n=0}
-137981	目无全牛	65536	138502	3	{i=0}
-137982	拖欠	65536	25302	3	{v=10, vn=0}
-137983	桂东	103310	26690	2	{ns=0}
-137984	得利	91231	24471	2	{v=1}
-137985	目无法纪	65536	145523	3	{i=0}
-137986	吃醋	65536	21507	3	{v=0}
-137987	目标值	65536	162952	3	{n=0}
-137988	目的地	65536	166661	3	{n=8}
-137989	目瞪口	116418	166955	1	null
-137990	未央	86640	26410	1	null
-137991	得到	65536	24471	3	{v=373, vn=0}
-137992	目瞪口呆	65536	137989	3	{i=3}
-137993	目空一	116998	167675	1	null
-137994	分设	65536	20998	3	{v=2}
-137995	南街	65536	21335	3	{ns=2}
-137996	电解炉	65536	204328	3	{n=0}
-137997	目空一切	65536	137993	3	{i=1}
-137998	炉坑	65536	28809	3	{n=0}
-137999	枕边	84860	26517	1	null
-138000	目迷五	104610	173176	1	null
-138001	幽禁	65536	24189	3	{v=0}
-138002	意气	83673	24847	2	{n=0}
-138003	漫游费	65536	145311	3	{n=1}
-138004	目迷五色	65536	138000	3	{i=0}
-138005	料豆	65536	26009	3	{n=0}
-138006	盱眙	116572	30449	2	{ns=0}
-138007	盯住	65536	30447	3	{v=3}
-138008	熙来	107286	29081	1	null
-138009	分词	65536	20998	3	{n=0, v=0}
-138010	如履	67829	22914	1	null
-138011	盱眙县	65536	138006	3	{ns=0}
-138012	爱国心	65536	180126	3	{n=1}
-138013	旋转门	65536	137908	3	{n=0}
-138014	滇池	65536	28359	3	{ns=0}
-138015	瑟缩	65536	29791	3	{v=1}
-138016	滦河	65536	28390	3	{ns=0}
-138017	桃树	65536	26691	3	{n=0}
-138018	盲人摸象	65536	138035	3	{i=1}
-138019	殷红	65536	27575	3	{b=0}
-138020	敬慕	65536	25964	3	{v=1, vn=1}
-138021	盲人瞎马	65536	142921	3	{i=0}
-138022	喜色	65536	21916	3	{n=0}
-138023	施工	97371	26045	2	{v=35, vn=47}
-138024	盲目性	65536	154671	3	{n=4}
-138025	液化	102611	28082	2	{vn=0}
-138026	盲聋哑	65536	157068	3	{j=0}
-138027	征婚	65536	24449	3	{v=0, vn=0}
-138028	应募	65536	24212	3	{v=0}
-138029	出逃	65536	20986	3	{v=1, vn=0}
-138030	柴薪	65536	26612	3	{n=1}
-138031	盲肠炎	65536	157153	3	{n=0}
-138032	爱国志	110604	180126	1	null
-138033	梵蒂	104164	26805	1	null
-138034	扎西	65536	25166	3	{nr=1}
-138035	盲人摸	102081	144379	1	null
-138036	直上云	99378	180832	1	null
-138037	欧安组	93385	138494	1	null
-138038	直上云霄	65536	138036	3	{l=0}
-138039	执行	94914	25191	2	{n=0, v=178, vn=45}
-138040	直勾勾	65536	182100	3	{z=0}
-138041	父志	65536	29238	3	{n=0}
-138042	斗嘴	65536	26007	3	{v=0}
-138043	欧姆	102379	27431	2	{n=0, q=0}
-138044	直升机	65536	182173	3	{n=17}
-138045	浓缩物	65536	158168	3	{n=0}
-138046	直升飞机	65536	150752	3	{n=0}
-138047	爽安	109237	29245	1	null
-138048	直呆呆	65536	182428	3	{z=0}
-138049	直属机	117199	184500	1	null
-138050	直属机关	65536	138049	3	{l=13}
-138051	吃里	67812	21507	1	null
-138052	吃重	65536	21507	3	{a=0, v=0}
-138053	国学	65536	22269	3	{n=2}
-138054	牙克西	65536	164018	3	{l=1}
-138055	直岗拉	116713	184557	1	null
-138056	桃核	65536	26691	3	{n=0}
-138057	欧委	105584	27431	1	null
-138058	直岗拉卡	65536	138055	3	{ns=0}
-138059	复摆	65536	22797	3	{n=0}
-138060	直布罗	99598	184921	1	null
-138061	图记	65536	22270	3	{n=0}
-138062	直布罗陀	65536	138060	3	{ns=3}
-138063	步弓	65536	27493	3	{n=0}
-138064	奇特	65536	22855	3	{a=0, nz=0}
-138065	授权	80995	25480	2	{n=1, v=18, vn=8}
-138066	直性子	65536	185469	3	{n=0}
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-138068	直情径	103177	185627	1	null
-138069	直情径行	65536	138068	3	{i=0}
-138070	景宁	65536	26223	3	{ns=1}
-138071	琼山	111131	29756	2	{ns=1}
-138072	旺销	65536	26106	3	{v=1}
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-138074	直截了	113673	185984	1	null
-138075	污泥	100018	27745	2	{n=0}
-138076	直截了当	65536	138074	3	{i=0}
-138077	直抒己	102813	186088	1	null
-138078	直抒己见	65536	138077	3	{i=0}
-138079	旬阳	99192	26092	1	null
-138080	标准件	65536	149778	3	{n=0}
-138081	标准价	65536	149778	3	{n=1}
-138082	直挺挺	65536	186256	3	{z=0}
-138083	直排式	65536	186344	3	{b=0}
-138084	国宅	65536	22269	3	{n=0}
-138085	直接推理	65536	138091	3	{l=0}
-138086	瓜分	99394	29916	2	{v=1}
-138087	柔波	65536	26580	3	{n=2}
-138088	国安	65536	22269	3	{nz=5}
-138089	四清	65536	22235	3	{j=0, nr=0}
-138090	直接经验	65536	145042	3	{l=0}
-138091	直接推	108383	186363	1	null
-138092	直接肥料	65536	145512	3	{l=0}
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-138094	直来直	116660	187323	1	null
-138095	直来直去	65536	138094	3	{l=1}
-138096	摆威	78309	25670	1	null
-138097	异口	88793	24322	1	null
-138098	得力	65536	24471	3	{a=13}
-138099	直根系	65536	187535	3	{n=0}
-138100	旅人	65536	26053	3	{n=4}
-138101	理论家	65536	189916	3	{n=5}
-138102	按质	80658	25353	1	null
-138103	发生	70388	21457	2	{v=406, vn=15}
-138104	前锋	65658	21069	2	{n=4, nz=0}
-138105	国定	65536	22269	3	{b=0, j=1, nz=1, vn=0}
-138106	申冤	65536	30003	3	{v=0}
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-138108	国宝	65858	22269	2	{n=2}
-138109	出道	65536	20986	3	{v=0}
-138110	直流电	65536	188823	3	{n=0}
-138111	无伤大雅	65536	119820	3	{i=0}
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-138115	富莱	83606	23500	1	null
-138116	电管局	65536	200678	3	{j=2, n=0}
-138117	直溜溜	65536	189170	3	{z=0}
-138118	影迷	65536	24433	3	{n=0}
-138119	猴年	95030	29492	2	{t=0}
-138120	直盯盯	65536	191301	3	{z=0}
-138121	得劲	65536	24471	3	{a=0}
-138122	晕车	65536	26197	3	{v=0}
-138123	护国	78644	25252	1	null
-138124	直眉瞪	107603	191327	1	null
-138125	发电	71123	21457	2	{n=0, v=7, vn=19}
-138126	后步	65536	21518	3	{n=0}
-138127	直眉瞪眼	65536	138124	3	{i=0}
-138128	殉葬	104723	27529	2	{v=0}
-138129	图说	65536	22270	3	{n=3}
-138130	按资	90942	25353	1	null
-138131	国宴	65536	22269	3	{n=0}
-138132	朝不谋	99926	153000	1	null
-138133	国家	84565	22269	2	{n=2046}
-138134	得势	65536	24471	3	{v=0}
-138135	直立人	65536	192289	3	{n=1}
-138136	直系亲	114491	192849	1	null
-138137	直系亲属	65536	138136	3	{l=1}
-138138	异同	65536	24322	3	{n=0}
-138139	异名	65536	24322	3	{n=0}
-138140	横冲直闯	65536	125512	3	{i=0}
-138141	国宾	65548	22269	2	{n=1, nr=0}
-138142	液压	103865	28082	2	{n=1}
-138143	抵补	65536	25269	3	{v=0}
-138144	百废待兴	65536	141299	3	{l=1}
-138145	白花蛇	65536	206751	3	{n=0}
-138146	直统统	65536	193333	3	{z=0}
-138147	未始	65536	26410	3	{d=0}
-138148	直罗镇	65536	193453	3	{ns=0}
-138149	直翅目	65536	193563	3	{n=0}
-138150	瓮声	105451	29934	1	null
-138151	监视器	65536	171138	3	{n=0}
-138152	图谋	76530	22270	2	{n=7, v=1, vn=1}
-138153	直观图	65536	196120	3	{n=0}
-138154	直觉主	118115	196127	1	null
-138155	国富	68744	22269	1	null
-138156	直觉主义	65536	138154	3	{n=0}
-138157	直角坐标	65536	138162	3	{l=0}
-138158	直言不	102396	196182	1	null
-138159	直言不讳	65536	138158	3	{i=3}
-138160	盆地	65536	30406	3	{n=13}
-138161	拟音	65536	25311	3	{n=0}
-138162	直角坐	111526	196136	1	null
-138163	直贡呢	65536	196983	3	{n=0}
-138164	润笔	65536	28070	3	{n=1, v=0}
-138165	痴呆	115156	30196	2	{z=1}
-138166	瓜剖	99397	29916	1	null
-138167	旷野	65536	26103	3	{n=3}
-138168	直辖市	65536	197612	3	{n=47}
-138169	目不交	107349	156302	1	null
-138170	易懂	65536	26131	3	{a=1}
-138171	点点滴	104198	173233	1	null
-138172	直达车	65536	197652	3	{n=0}
-138173	相互之间	65536	138175	3	{l=4}
-138174	相互作用	65536	138448	3	{l=10}
-138175	相互之	99785	191882	1	null
-138176	污浊	65536	27745	3	{a=1, an=1, v=0}
-138177	归天	65536	24402	3	{v=0}
-138178	染液	65536	26579	3	{n=0}
-138179	相亲相	108947	191914	1	null
-138180	相亲相爱	65536	138179	3	{l=0}
-138181	直肠子	65536	193782	3	{n=0}
-138182	生长点	65536	206744	3	{n=3}
-138183	晋东	99968	26187	1	null
-138184	相似形	65536	192052	3	{n=0}
-138185	相位差	65536	192069	3	{n=0}
-138186	熬汤	65536	29100	3	{v=0}
-138187	戏耍	65536	25103	3	{v=0}
-138188	相依为命	65536	138192	3	{i=7}
-138189	相依相克	65536	148622	3	{l=1}
-138190	图谱	65536	22270	3	{n=3}
-138191	相关性	65536	192619	3	{n=1}
-138192	相依为	116559	192149	1	null
-138193	基联	77424	22522	1	null
-138194	相去甚	101370	193203	1	null
-138195	巨石	69890	24040	2	{n=3}
-138196	热效率	65536	187989	3	{n=0}
-138197	洒落	65536	27922	3	{v=1}
-138198	相去甚远	65536	138194	3	{i=2}
-138199	相反相	113099	193221	1	null
-138200	晋中	65536	26187	3	{ns=7}
-138201	名数	65536	21517	3	{n=0}
-138202	变量	65536	21464	3	{n=2}
-138203	相反相成	65536	138199	3	{i=0}
-138204	相国寺	65536	194037	3	{ns=0}
-138205	相安无	118100	195201	1	null
-138206	套购	65536	22871	3	{v=3}
-138207	相安无事	65536	138205	3	{i=1}
-138208	圣父	65536	22307	3	{n=0}
-138209	相对主义	65536	138985	3	{n=2}
-138210	相对湿度	65536	147245	3	{l=0}
-138211	拨通	65536	25320	3	{v=6}
-138212	暂行	65536	26242	3	{b=20}
-138213	相对真理	65536	149453	3	{l=0}
-138214	独占鳌	111409	184110	1	null
-138215	相对而言	65536	151738	3	{c=0}
-138216	相对高度	65536	158598	3	{l=0}
-138217	土性	65536	22303	3	{n=0}
-138218	相差无	117261	195814	1	null
-138219	寒区	65536	23506	3	{n=7}
-138220	官事	65536	23448	3	{n=0}
-138221	相差无几	65536	138218	3	{i=0, l=3}
-138222	旅伴	65536	26053	3	{n=0}
-138223	护坡	65536	25252	3	{n=2, v=0}
-138224	相当于	65536	196171	3	{v=0}
-138225	相形之下	65536	138237	3	{l=2}
-138226	相形失色	65536	141027	3	{i=0}
-138227	扑鼻	65536	25169	3	{v=3}
-138228	承保	65536	25215	3	{j=0, v=0}
-138229	湄洲	102842	28228	1	null
-138230	后母	65536	21518	3	{n=0}
-138231	热敏电	94378	187996	1	null
-138232	相形见绌	65536	153459	3	{i=0}
-138233	相得益	113803	196239	1	null
-138234	商社	65536	21830	3	{n=1}
-138235	相得益彰	65536	138233	3	{i=4}
-138236	弹无	76331	24377	1	null
-138237	相形之	118246	196186	1	null
-138238	相忍为	115974	196293	1	null
-138239	熨熨	97078	29096	1	null
-138240	白炽电	108236	202155	1	null
-138241	异味	65536	24322	3	{n=0}
-138242	期考	65536	26399	3	{v=0}
-138243	相忍为国	65536	138238	3	{i=0}
-138244	横行霸	88669	183786	1	null
-138245	承修	65536	25215	3	{v=2}
-138246	相持不	118270	197113	1	null
-138247	发疯	65536	21457	3	{v=0}
-138248	带领	65536	24102	3	{v=79, vn=10}
-138249	相持不下	65536	138246	3	{i=0}
-138250	相思子	65536	196373	3	{n=0}
-138251	相控阵	65536	197279	3	{n=0}
-138252	应县	65536	24212	3	{ns=0}
-138253	相提并	102485	197320	1	null
-138254	樱花	98995	27185	2	{n=0, nz=1}
-138255	相提并论	65536	138253	3	{i=1}
-138256	相敬如	114772	197732	1	null
-138257	回民	65536	22238	3	{n=12}
-138258	相敬如宾	65536	138256	3	{i=0}
-138259	月明风	93894	165567	1	null
-138260	相映成	102003	197912	1	null
-138261	相机行	118156	198194	1	null
-138262	相映成趣	65536	138260	3	{i=0}
-138263	相机行事	65536	138261	3	{i=0}
-138264	恶劣	65536	24694	3	{a=17, an=2}
-138265	相比之	118293	199372	1	null
-138266	漳河	65536	28467	3	{ns=1}
-138267	官人	65536	23448	3	{n=0}
-138268	方便面	88691	161279	2	{n=9}
-138269	发病	65575	21457	2	{v=5, vn=1}
-138270	监督卡	65536	166431	3	{n=1}
-138271	就范	65536	23601	3	{v=2}
-138272	相比之下	65536	138265	3	{l=6}
-138273	子母	79301	23376	1	null
-138274	基肥	65536	22522	3	{n=0}
-138275	法兰盘	65536	176044	3	{n=0}
-138276	深入浅	109462	177125	1	null
-138277	应变	88652	24212	2	{v=1, vn=7}
-138278	柱身	65536	26609	3	{n=1}
-138279	相濡以	110461	200409	1	null
-138280	相濡以沫	65536	138279	3	{i=1}
-138281	摩肩	92086	25705	1	null
-138282	发痒	65536	21457	3	{v=1}
-138283	相生相	117473	201751	1	null
-138284	相生相克	65536	138283	3	{i=0}
-138285	相电压	65536	201773	3	{n=0}
-138286	炒勺	65536	28818	3	{n=0}
-138287	相知恨	112087	202461	1	null
-138288	朱熹	65536	26417	3	{nr=0}
-138289	相知恨晚	65536	138287	3	{i=0}
-138290	未婚	100157	26410	2	{v=2, vn=3}
-138291	相见恨	112092	207033	1	null
-138292	回水	65536	22238	3	{vn=0}
-138293	杠铃	65536	26464	3	{n=0}
-138294	相见恨晚	65536	138291	3	{i=1}
-138295	相辅相成	65536	138300	3	{i=8}
-138296	相辅而行	65536	140624	3	{l=0}
-138297	盼头	65536	30460	3	{n=1}
-138298	替身	65536	26367	3	{n=2}
-138299	最新	99573	26368	2	{a=67, ad=0}
-138300	相辅相	113191	208509	1	null
-138301	盾牌	65536	30462	3	{n=1}
-138302	省人大	65536	181875	3	{j=45}
-138303	发痧	65536	21457	3	{v=0}
-138304	沟纹	65536	27807	3	{n=0}
-138305	滥杀	65536	28389	3	{v=2}
-138306	渐渐	65536	28176	3	{d=29}
-138307	省军区	65536	182612	3	{n=10}
-138308	漆树	65536	28422	3	{n=0}
-138309	爆发星	65536	134587	3	{n=0}
-138310	景山	65536	26223	3	{ns=1}
-138311	省农办	65536	182613	3	{j=2}
-138312	海岸线	65536	187054	3	{n=4}
-138313	省力化	65536	182868	3	{v=1, vn=2}
-138314	省吃俭	108323	183228	1	null
-138315	省吃俭用	65536	138314	3	{i=7}
-138316	省市长	65536	185787	3	{n=1}
-138317	省政协	65536	187640	3	{j=42}
-138318	省柴节	109294	188333	1	null
-138319	名旦	65536	21517	3	{n=2}
-138320	工作餐	65536	149420	3	{n=0}
-138321	承债	90788	25215	1	null
-138322	省柴节煤	109533	138318	1	null
-138323	省柴节煤灶	65536	138322	3	{l=3}
-138324	省港杯	65536	189928	3	{nz=5}
-138325	前门	65536	21069	3	{n=0, ns=1}
-138326	拟题	65536	25311	3	{v=0}
-138327	晋京	65536	26187	3	{j=1, v=2}
-138328	官价	65536	23448	3	{n=0}
-138329	省纪委	65536	194147	3	{j=4}
-138330	涵洞	65536	28085	3	{n=1}
-138331	省略值	65536	191774	3	{n=0}
-138332	护城	87639	25252	1	null
-138333	省辖市	65536	198479	3	{n=1}
-138334	现成饭	65536	178879	3	{n=0}
-138335	省部级	65536	198817	3	{b=4, j=1}
-138336	痔疮	65536	30164	3	{n=1}
-138337	毕竟	65536	27605	3	{c=1, d=30}
-138338	眉山县	65536	156248	3	{ns=1}
-138339	眉开眼	106836	156903	1	null
-138340	止步	65536	27490	3	{v=2}
-138341	眉开眼笑	65536	138339	3	{i=2}
-138342	消炎片	65536	181609	3	{n=0}
-138343	眉来眼	116909	159052	1	null
-138344	眉来眼去	65536	138343	3	{i=0}
-138345	分贝	65536	20998	3	{q=0}
-138346	文艺语	83542	180170	1	null
-138347	喜获	65536	21916	3	{v=1}
-138348	植苗	65536	26893	3	{v=0}
-138349	眉棱骨	65536	159448	3	{n=0}
-138350	盈亏	65536	30408	3	{n=1, v=1, vn=0}
-138351	眉欢眼	106847	160009	1	null
-138352	眉欢眼笑	65536	138351	3	{i=0}
-138353	拖沓	65536	25302	3	{a=1}
-138354	后汉	65536	21518	3	{t=0}
-138355	眉清目	107194	160748	1	null
-138356	申办	65536	30003	3	{v=6, vn=1}
-138357	复数	65536	22797	3	{n=0}
-138358	望子成龙	65536	122646	3	{i=0}
-138359	夜礼	73190	22812	1	null
-138360	忠骨	65536	24544	3	{n=0}
-138361	模压	99029	27169	2	{n=2}
-138362	眉清目秀	65536	138355	3	{i=1}
-138363	眉目传	113591	163029	1	null
-138364	眉目传情	65536	138363	3	{i=0}
-138365	眉眼高	118065	163107	1	null
-138366	旅俄	65536	26053	3	{j=0}
-138367	眉眼高低	65536	138365	3	{i=0}
-138368	燃眉	113193	29123	1	null
-138369	流行色	65536	187175	3	{n=1}
-138370	眉飞色	105062	171717	1	null
-138371	污渍	65536	27745	3	{n=2}
-138372	眉飞色舞	65536	138370	3	{i=1}
-138373	检查	104978	26816	2	{v=98, vn=111}
-138374	旱年	65536	26097	3	{t=0}
-138375	歃血结	95505	125933	1	null
-138376	眉高眼	118078	172223	1	null
-138377	炕席	65536	28821	3	{n=0}
-138378	炒卖	65536	28818	3	{v=1}
-138379	恶化	65536	24694	3	{v=32, vn=4}
-138380	眉高眼低	65536	138376	3	{i=0}
-138381	相似性	65536	192052	3	{n=3}
-138382	晋代	65536	26187	3	{t=0}
-138383	分赃	65536	20998	3	{v=0}
-138384	看不上眼	65536	138392	3	{l=0}
-138385	看上去	65536	168139	3	{v=10}
-138386	看不顺眼	65536	157448	3	{l=0}
-138387	看人下	104632	168315	1	null
-138388	看人下菜	65536	138387	3	{l=0}
-138389	看人眉睫	65536	148881	3	{i=0}
-138390	看守内阁	65536	138394	3	{l=0}
-138391	看家本领	65536	139708	3	{l=0}
-138392	看不上	107860	168142	1	null
-138393	军鸽	65536	20891	3	{n=0}
-138394	看守内	99989	171593	1	null
-138395	增至	65536	22686	3	{v=11}
-138396	市委	65536	24066	3	{j=0, n=202}
-138397	桑兰	89606	26705	1	null
-138398	控制论	65536	117157	3	{n=1}
-138399	看家戏	65536	171639	3	{n=0}
-138400	套路	65536	22871	3	{n=2}
-138401	布光	65536	24067	3	{vn=1}
-138402	棕红	65536	26837	3	{b=0}
-138403	看得出	65536	172632	3	{v=1}
-138404	奇珍	76779	22855	1	null
-138405	毁版	65536	27585	3	{v=0, vn=1}
-138406	樱草	65536	27185	3	{n=0}
-138407	看得过儿	65536	154224	3	{l=0}
-138408	寒号	71802	23506	1	null
-138409	昭雪	65536	26157	3	{v=2, vn=1}
-138410	看朱成	107524	174578	1	null
-138411	看朱成碧	65536	138410	3	{i=0}
-138412	合算	65536	21512	3	{a=2, v=0}
-138413	监督台	65536	166431	3	{n=2}
-138414	官位	65536	23448	3	{n=1}
-138415	看样子	65536	174840	3	{v=2}
-138416	看热闹	65536	177070	3	{v=1}
-138417	官佐	65536	23448	3	{n=1}
-138418	护堤	65536	25252	3	{n=1}
-138419	看病票	65536	178310	3	{n=1}
-138420	电影室	65536	193462	3	{n=2}
-138421	复新	77859	22797	1	null
-138422	看眼色	65536	178685	3	{l=0}
-138423	看破红	114848	178933	1	null
-138424	看破红尘	65536	138423	3	{i=0}
-138425	回油	68245	22238	1	null
-138426	拜泉	94670	25308	1	null
-138427	构造运	102775	140779	1	null
-138428	看笑话	65536	179666	3	{l=0}
-138429	操行	65536	25805	3	{n=0}
-138430	复方	65536	22797	3	{b=6}
-138431	图财	73037	22270	1	null
-138432	分赴	65536	20998	3	{v=15}
-138433	易拉	88430	26131	1	null
-138434	登记单	65536	167601	3	{n=0}
-138435	拖泥	91922	25302	1	null
-138436	琼州	65536	29756	3	{ns=0}
-138437	看财奴	65536	184291	3	{n=0}
-138438	材料费	65536	123428	3	{n=1}
-138439	扶正	84007	25206	1	null
-138440	布兰	87343	24067	1	null
-138441	守节	65536	23432	3	{v=0}
-138442	看走眼	65536	184369	3	{l=0}
-138443	看起来	65536	184376	3	{v=0}
-138444	热电效	108687	192066	1	null
-138445	漳浦	110422	28467	1	null
-138446	登记卡	65536	167601	3	{n=3}
-138447	前院	65536	21069	3	{s=0}
-138448	相互作	108182	191882	1	null
-138449	看风使	105122	187279	1	null
-138450	德宏	87568	24503	2	{ns=0}
-138451	擂鼓	95060	25794	2	{v=2}
-138452	水果糖	65536	187480	3	{n=0}
-138453	电焊机	65536	197967	3	{n=0}
-138454	烂摊	109279	28866	1	null
-138455	看风使舵	65536	138449	3	{i=0}
-138456	盆塘	65536	30406	3	{n=0}
-138457	应和	65536	24212	3	{v=0}
-138458	真主党	65536	186600	3	{n=2}
-138459	真人真	118356	186727	1	null
-138460	后河	73866	21518	1	null
-138461	疟子	65536	30111	3	{n=0}
-138462	某种	65536	26576	3	{r=31}
-138463	真人真事	65536	138459	3	{l=0}
-138464	真凭实	113011	187546	1	null
-138465	真凭实据	65536	138464	3	{i=0}
-138466	独立性	65536	194201	3	{n=6}
-138467	掉魂	65536	25481	3	{v=0}
-138468	得名	65536	24471	3	{v=0}
-138469	摇船	65536	25671	3	{v=0}
-138470	炕床	65536	28821	3	{n=0}
-138471	望子	97542	26395	1	null
-138472	想见	65536	24819	3	{v=1}
-138473	征尘	65536	24449	3	{n=0}
-138474	真分式	65536	187571	3	{n=0}
-138475	复旦	65536	22797	3	{j=0, nz=2}
-138476	复旧	65536	22797	3	{v=0}
-138477	如常	65536	22914	3	{v=3}
-138478	真切感	65536	187572	3	{n=1}
-138479	扶残	93919	25206	1	null
-138480	活页簿	65536	191412	3	{n=0}
-138481	康莱	80683	24247	1	null
-138482	真名实	115489	188090	1	null
-138483	棕绳	65536	26837	3	{n=0}
-138484	真名实姓	65536	138482	3	{l=0}
-138485	浸水	65536	28024	3	{v=0}
-138486	真善美	65536	188465	3	{j=0, n=1}
-138487	棕绷	65536	26837	3	{n=0}
-138488	真心实	113642	191088	1	null
-138489	真心实意	65536	138488	3	{i=4}
-138490	真实性	65536	190027	3	{n=2}
-138491	真心诚意	65536	150836	3	{i=0}
-138492	电焊条	65536	197967	3	{n=0}
-138493	真情难觅	65536	153633	3	{l=1}
-138494	欧安	105585	27431	2	{j=0}
-138495	盒带	65536	30418	3	{n=0}
-138496	真才实	115100	191738	1	null
-138497	真情实	113653	191346	1	null
-138498	真才实学	65536	138496	3	{i=4}
-138499	槐蚕	65536	27088	3	{n=0}
-138500	真情实意	65536	138497	3	{i=1}
-138501	极目远	93389	158582	1	null
-138502	目无全	108706	162401	1	null
-138503	真抓实	114326	191808	1	null
-138504	真抓实干	65536	138503	3	{l=7}
-138505	真溶液	65536	194915	3	{n=0}
-138506	真理性	65536	196275	3	{n=2}
-138507	界外	106560	30028	1	null
-138508	敬挽	65536	25964	3	{v=0}
-138509	失业	71647	22833	2	{n=0, v=14, vn=41}
-138510	真相大	108178	197029	1	null
-138511	真相大白	65536	138510	3	{i=0}
-138512	宝钢	65536	23453	3	{n=2}
-138513	真真假假	65536	138525	3	{l=0}
-138514	忠魂	65536	24544	3	{n=0}
-138515	复明	65536	22797	3	{j=0, v=0}
-138516	真情实感	65536	138497	3	{l=0}
-138517	监督员	65536	166431	3	{n=4}
-138518	棕编	65536	26837	3	{n=0}
-138519	癖性	65536	30294	3	{n=0}
-138520	斥骂	65536	26021	3	{v=0}
-138521	灿若星	104667	137140	1	null
-138522	增色	69723	22686	2	{v=0}
-138523	彩旗	81600	24425	2	{n=8}
-138524	洁癖	65536	27905	3	{n=0}
-138525	真真假	117962	197068	1	null
-138526	真真切切	65536	138973	3	{z=2}
-138527	真知灼	103264	197266	1	null
-138528	抵触	65536	25269	3	{v=0, vn=2}
-138529	真知灼见	65536	138527	3	{i=3}
-138530	攻歼	65536	25915	3	{v=0}
-138531	电化教	103035	190299	1	null
-138532	百货商	113224	197888	1	null
-138533	真空泵	65536	197927	3	{n=0}
-138534	建党	65536	24314	3	{v=2, vn=2}
-138535	护墙	65536	25252	3	{n=1}
-138536	椰蓉	65536	26928	3	{n=0}
-138537	真维斯	65536	199073	3	{nz=0}
-138538	彩旦	65536	24425	3	{n=0}
-138539	真面目	65536	205327	3	{n=1}
-138540	眠山	65536	30496	3	{ns=0}
-138541	夏秋	75675	22799	1	null
-138542	失主	65536	22833	3	{n=6}
-138543	夏种	65536	22799	3	{n=0, vn=1}
-138544	眨巴	65536	30504	3	{v=0}
-138545	洪水猛	108511	155904	1	null
-138546	眩晕	65536	30505	3	{v=0}
-138547	犁杖	65536	29313	3	{n=0}
-138548	存量	65536	23384	3	{n=23}
-138549	坐而	65797	22352	1	null
-138550	眯缝	65536	30511	3	{v=0}
-138551	眷眷之	113782	145480	1	null
-138552	盈余	65536	30408	3	{n=11, v=0, vn=0}
-138553	标准像	65536	149778	3	{n=0}
-138554	皮包商	65536	181808	3	{n=0}
-138555	眷眷之情	65536	138551	3	{i=1}
-138556	建兰	65536	24314	3	{n=0}
-138557	眸子	65536	30520	3	{n=2}
-138558	失之	80854	22833	1	null
-138559	灾星	65536	28798	3	{n=0}
-138560	止痛药	65536	141018	3	{n=0}
-138561	回流	66565	22238	2	{n=0, v=0, vn=0}
-138562	眺望	65536	30522	3	{v=2, vn=0}
-138563	洁白	65536	27905	3	{z=9}
-138564	眼中钉	65536	182589	3	{n=0}
-138565	圣玛	76805	22307	1	null
-138566	眼冒金	112426	183458	1	null
-138567	插座	65536	25554	3	{n=0}
-138568	理发室	65536	175603	3	{n=1}
-138569	眼冒金星	65536	138566	3	{l=1}
-138570	担风	77221	25285	1	null
-138571	特殊教	100952	184781	1	null
-138572	眼力健	65536	183723	3	{nz=0}
-138573	眼压计	65536	183963	3	{n=0}
-138574	眼巴巴	65536	186628	3	{b=0, d=0, z=0}
-138575	眼底下	65536	186789	3	{s=0}
-138576	眼捷手	114026	188039	1	null
-138577	幽篁	65536	24189	3	{n=0}
-138578	张灯	78156	24352	1	null
-138579	澳柯	102473	28595	1	null
-138580	单行	66005	21333	2	{b=2}
-138581	眼捷手快	65536	138576	3	{i=0}
-138582	眼明手	114050	188702	1	null
-138583	易损	96408	26131	1	null
-138584	巨祸	65536	24040	3	{n=0}
-138585	名曰	65536	21517	3	{v=1}
-138586	晋侯	98634	26187	1	null
-138587	名曲	65536	21517	3	{n=11}
-138588	原诉	65536	21407	3	{n=0}
-138589	地图	73629	22320	2	{n=7}
-138590	拳谱	65536	25331	3	{n=0}
-138591	承先	93576	25215	1	null
-138592	杂牌货	65536	168176	3	{n=0}
-138593	泼皮	65536	27900	3	{n=0}
-138594	浸没	65536	28024	3	{v=0}
-138595	月球车	65536	169140	3	{n=2}
-138596	狐仙	65536	29392	3	{n=0}
-138597	欺瞒	65536	27450	3	{v=0}
-138598	泽田	65536	27901	3	{nr=0}
-138599	建军	76663	24314	2	{nr=3, v=4, vn=1}
-138600	承兑	65536	25215	3	{v=0, vn=4}
-138601	浇灌	65536	27975	3	{v=3, vn=1}
-138602	待遇	65536	24453	3	{n=19}
-138603	单衣	65536	21333	3	{n=0}
-138604	流芳百	109596	185742	1	null
-138605	眼明手快	65536	138582	3	{i=0}
-138606	眼疾手	114058	192718	1	null
-138607	眷属	65536	30519	3	{n=0}
-138608	原话	65536	21407	3	{n=0}
-138609	独角戏	65536	198048	3	{n=0}
-138610	未定	91687	26410	2	{v=2, vn=0}
-138611	官倒	65536	23448	3	{n=0}
-138612	添油	109488	28155	1	null
-138613	眼疾手快	65536	138606	3	{l=0}
-138614	眼皮浅	65536	192958	3	{l=0}
-138615	活动日	65536	173543	3	{n=1}
-138616	眼睁睁	65536	193105	3	{d=0, z=0}
-138617	护士	77196	25252	2	{n=0}
-138618	底盘	65536	24213	3	{n=0}
-138619	电磁感	111862	199942	1	null
-138620	眼睫毛	65536	193147	3	{n=1}
-138621	渝水	109610	28189	1	null
-138622	失事	65536	22833	3	{v=0, vn=0}
-138623	案秤	65536	26696	3	{n=0}
-138624	原语	65536	21407	3	{n=0}
-138625	眼科学	65536	193761	3	{n=0}
-138626	恶名	65536	24694	3	{n=0}
-138627	油菜花	65536	192340	3	{n=0}
-138628	名望	65536	21517	3	{n=2}
-138629	眼花缭乱	65536	138633	3	{i=3}
-138630	檀香	102044	27264	2	{n=0}
-138631	白璧无	107263	203157	1	null
-138632	眼花耳热	65536	138895	3	{i=0}
-138633	眼花缭	118548	196033	1	null
-138634	眼见为	115182	197841	1	null
-138635	最最	65536	26368	3	{d=1}
-138636	眼见为实	65536	138634	3	{l=2}
-138637	眼角膜	65536	197858	3	{n=0}
-138638	皮肤科	65536	193487	3	{n=0}
-138639	地地	65571	22320	1	null
-138640	眼高手	118340	202216	1	null
-138641	眼镜框	65536	200812	3	{n=0}
-138642	眼高手低	65536	138640	3	{i=1}
-138643	后浪	68422	21518	1	null
-138644	着力点	65536	155969	3	{n=6}
-138645	着火点	65536	163601	3	{n=0}
-138646	爬树	65536	29228	3	{v=0}
-138647	着着实	115197	165350	1	null
-138648	原谅	65536	21407	3	{v=0, vn=1}
-138649	着眼于	65536	165346	3	{v=1}
-138650	孤陋	80016	23396	1	null
-138651	着着实实	65536	138647	3	{z=0}
-138652	着色剂	65536	168216	3	{n=0}
-138653	着重号	65536	172147	3	{n=0}
-138654	围追	65536	22260	3	{v=0, vn=0}
-138655	地址	66259	22320	2	{n=14}
-138656	睁眼	108056	30529	1	null
-138657	字节	65536	23383	3	{n=1}
-138658	浸泡	65536	28024	3	{v=0, vn=0}
-138659	畜牧场	65536	145486	3	{n=0}
-138660	理论工	114838	189916	1	null
-138661	监督哨	65536	166431	3	{n=1}
-138662	睁眼瞎	65536	138656	3	{n=0}
-138663	睚眦	114147	30554	1	null
-138664	睚眦必	113417	138663	1	null
-138665	狭小	65536	29421	3	{a=2}
-138666	气门芯	65536	194357	3	{n=0}
-138667	施恩	97373	26045	2	{v=0}
-138668	名权	73441	21517	1	null
-138669	用兵如	104655	182660	1	null
-138670	睚眦必报	65536	138664	3	{i=0}
-138671	望尘	95054	26395	1	null
-138672	各部	65536	21508	3	{r=3}
-138673	涨潮	65536	28072	3	{v=0, vn=0}
-138674	睡眠疗	110815	158231	1	null
-138675	单被	65536	21333	3	{n=0}
-138676	睡眠疗法	65536	138674	3	{l=0}
-138677	夜空	65536	22812	3	{n=7}
-138678	地块	65536	22320	3	{n=3}
-138679	睡美人	65536	160389	3	{nz=3}
-138680	扭转	94928	25197	2	{v=21, vn=0}
-138681	瑰宝	65536	29808	3	{n=5}
-138682	地坛	65536	22320	3	{ns=7}
-138683	洛杉	98595	27931	1	null
-138684	睦邻	117236	30566	2	{n=5}
-138685	瀛海	109102	28699	1	null
-138686	梅子	65536	26757	3	{nr=0}
-138687	睦邻友	115779	138684	1	null
-138688	睦邻友好	65536	138687	3	{l=6}
-138689	爬格	109944	29228	1	null
-138690	睫毛	65536	30571	3	{n=1}
-138691	睫状体	65536	140445	3	{n=0}
-138692	睹物	118434	30585	1	null
-138693	夹馅	65536	22841	3	{b=0}
-138694	睹物伤	113923	138692	1	null
-138695	汾阳	104008	27774	2	{ns=1}
-138696	睹物伤情	65536	138694	3	{i=0}
-138697	服务厅	65536	133989	3	{n=2}
-138698	泛美	108731	27867	2	{j=0, nz=0}
-138699	睹物思人	65536	143039	3	{i=0}
-138700	睿智	105931	30591	2	{a=2, an=0}
-138701	睾丸	65536	30590	3	{n=0}
-138702	名来	72715	21517	1	null
-138703	前面	65536	21069	3	{f=27}
-138704	睿智者	65536	138700	3	{n=1}
-138705	土戏	65536	22303	3	{n=0}
-138706	瞄准	65536	30596	3	{v=12, vn=0}
-138707	瞅见	65536	30597	3	{v=0}
-138708	瞌睡	65536	30604	3	{v=1}
-138709	柞蚕	104226	26590	2	{n=0}
-138710	标准公	85292	149778	1	null
-138711	瞎子摸	102775	140067	1	null
-138712	瞎子摸象	65536	138711	3	{l=0}
-138713	瞑目	65536	30609	3	{v=0}
-138714	敲锣	93425	25970	1	null
-138715	瞒上欺	118739	138797	1	null
-138716	琐屑	65536	29712	3	{a=0}
-138717	涤瑕	96600	28068	1	null
-138718	瞒上欺下	65536	138715	3	{i=0}
-138719	橡皮筋	65536	132644	3	{n=0}
-138720	军龄	65536	20891	3	{n=1}
-138721	快反	65536	24555	3	{j=0}
-138722	测控	65536	27979	3	{vn=0}
-138723	橡皮筏	65536	132644	3	{n=0}
-138724	敲锭	65536	25970	3	{v=0}
-138725	熏染	65536	29071	3	{v=1}
-138726	溶洞	65536	28342	3	{n=2}
-138727	暖气	99378	26262	2	{n=4}
-138728	盒式	113675	30418	1	null
-138729	瞒天过	110707	141644	1	null
-138730	瞒天过海	65536	138729	3	{i=1}
-138731	瞒心昧	114684	143334	1	null
-138732	单裤	65536	21333	3	{n=0}
-138733	瞒心昧己	65536	138731	3	{i=0}
-138734	瞠目	106272	30624	2	{v=0}
-138735	基色	65536	22522	3	{n=0}
-138736	激光灯	65536	149756	3	{n=2}
-138737	斗士	65536	26007	3	{n=1}
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-138739	瞠目结	105448	138734	1	null
-138740	瞠目结舌	65536	138739	3	{i=0, l=1}
-138741	未尝	65536	26410	3	{d=5}
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-138743	分身	65838	20998	2	{v=0}
-138744	布加	87473	24067	1	null
-138745	瞧不	102534	30631	1	null
-138746	止泻	92322	27490	1	null
-138747	毫无	106855	27627	2	{v=15}
-138748	相映成辉	65536	138260	3	{i=1}
-138749	瞧不起	65536	138745	3	{v=2}
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-138751	圆通	72881	22278	2	{a=0, ns=0}
-138752	盐碱土	65536	169225	3	{n=0}
-138753	土房	65536	22303	3	{n=1}
-138754	建制	65536	24314	3	{n=6, v=1}
-138755	有门道	65536	193162	3	{l=0}
-138756	瞬变码	116352	139205	1	null
-138757	瞪眼	65536	30634	3	{v=0}
-138758	故乡	97955	25925	2	{n=68}
-138759	暖水	91675	26262	1	null
-138760	渗水	65536	28183	3	{v=1}
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-138762	单褂	65536	21333	3	{n=0}
-138763	瞬变码型	65536	138756	3	{n=1}
-138764	无可非	84163	173366	1	null
-138765	摇荡	65536	25671	3	{v=1}
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-138770	札记	65536	26413	3	{n=1}
-138771	失传	65536	22833	3	{v=4}
-138772	瞬息万	117303	142428	1	null
-138773	瞬时性	65536	143843	3	{n=0}
-138774	瞩望	65536	30633	3	{v=1}
-138775	布势	65536	24067	3	{n=0}
-138776	瞬时速度	65536	151053	3	{l=0}
-138777	瞻仰厅	65536	138807	3	{n=2}
-138778	抹黑	65536	25273	3	{v=2}
-138779	孤雌	73556	23396	1	null
-138780	瞻前顾	117264	139668	1	null
-138781	古老	65536	21476	3	{a=33, an=0}
-138782	瞻前顾后	65536	138780	3	{i=1}
-138783	原貌	65536	21407	3	{n=2}
-138784	瞳人	65536	30643	3	{n=0}
-138785	液压表	65536	138142	3	{n=0}
-138786	瞿河	118722	30655	1	null
-138787	瞿河乡	65536	138786	3	{ns=0}
-138788	炸掉	65536	28856	3	{v=1}
-138789	河北省	65536	163868	3	{ns=101}
-138790	如影	65880	22914	1	null
-138791	瞳仁	65536	30643	3	{n=0}
-138792	瞬刻	65536	30636	3	{t=0}
-138793	头数	65536	22836	3	{n=0}
-138794	布勒	88457	24067	1	null
-138795	桥墩	65536	26725	3	{n=3}
-138796	桂光	65536	26690	3	{nz=12}
-138797	瞒上	111265	30610	1	null
-138798	核桃虫	65536	173143	3	{n=0}
-138799	矍铄	65536	30669	3	{a=2}
-138800	故事	97892	25925	2	{n=105}
-138801	复本	65536	22797	3	{n=0}
-138802	矛头	65536	30683	3	{n=0}
-138803	火葬炉	65536	197339	3	{n=0}
-138804	服务台	65536	133989	3	{n=7}
-138805	橡皮管	65536	132644	3	{n=0}
-138806	矗立	65536	30679	3	{v=11}
-138807	瞻仰	117396	30651	2	{v=5, vn=2}
-138808	回游	65536	22238	3	{vn=0}
-138809	盟主	65536	30431	3	{n=2}
-138810	矛盾律	65536	146428	3	{n=0}
-138811	官僚	85221	23448	2	{n=8}
-138812	矜持	65536	30684	3	{a=1, an=0}
-138813	矢口否	103068	138826	1	null
-138814	地域	65536	22320	3	{n=24}
-138815	瓮安	113953	29934	2	{ns=1}
-138816	矢口否认	65536	138813	3	{i=1}
-138817	矢口抵赖	65536	142540	3	{i=0}
-138818	百分制	65536	182751	3	{n=1}
-138819	矢志不	110645	141886	1	null
-138820	瑶家	65536	29814	3	{n=2}
-138821	孤零	65851	23396	1	null
-138822	矢车菊	65536	154061	3	{n=0}
-138823	复杂	77935	22797	2	{a=62, ad=0, an=2}
-138824	矢量积	65536	154678	3	{n=0}
-138825	故交	65536	25925	3	{n=0}
-138826	矢口	117271	30690	2	{d=0}
-138827	知之甚	115259	162297	1	null
-138828	知之甚少	65536	138827	3	{l=3}
-138829	扭送	65536	25197	3	{v=0}
-138830	特别法	65536	178286	3	{n=0}
-138831	摩苏	94029	25705	1	null
-138832	知书达	109131	162324	1	null
-138833	知书达理	65536	138832	3	{i=0}
-138834	矢志不渝	65536	138819	3	{i=0}
-138835	知人之明	65536	138838	3	{i=0}
-138836	浪木	65536	28010	3	{n=0}
-138837	知人善任	65536	140687	3	{i=1}
-138838	知人之	112709	162408	1	null
-138839	归宿	65536	24402	3	{n=4}
-138840	寒喧	65536	23506	3	{v=0}
-138841	地基	65536	22320	3	{n=3}
-138842	知人论世	65536	154565	3	{i=1}
-138843	电报机	65536	194282	3	{n=0}
-138844	知名人	116082	163771	1	null
-138845	知名人士	65536	138844	3	{n=16}
-138846	生物圈	65536	197762	3	{n=0}
-138847	故人	65536	25925	3	{n=0}
-138848	知名演员	65536	147126	3	{n=2}
-138849	北辰	68096	21271	2	{n=1}
-138850	知己知	114407	166303	1	null
-138851	知己知彼	65536	138850	3	{i=1}
-138852	承前	93580	25215	1	null
-138853	国庆	65570	22269	2	{n=0, nr=1, t=4}
-138854	知彼知	114807	166698	1	null
-138855	浸润	65536	28024	3	{v=1, vn=1}
-138856	知彼知己	65536	138854	3	{i=0}
-138857	汤姆逊	65536	145895	3	{nz=0}
-138858	北边	65536	21271	3	{f=0}
-138859	建功	78639	24314	2	{v=8, vn=0}
-138860	知心人	65536	166769	3	{n=0}
-138861	知情不举	65536	138871	3	{i=0}
-138862	消防站	65536	191245	3	{n=0}
-138863	权数	65536	26435	3	{n=0}
-138864	标准分	65536	149778	3	{n=1}
-138865	知情达理	65536	155688	3	{i=0}
-138866	国库	75363	22269	2	{n=7}
-138867	渗沟	65536	28183	3	{n=0}
-138868	团课	65536	22242	3	{n=0}
-138869	添加物	65536	131931	3	{n=0}
-138870	瑶寨	65536	29814	3	{n=0}
-138871	知情不	118831	167027	1	null
-138872	知无不	103545	168334	1	null
-138873	知无不言	65536	138872	3	{i=0}
-138874	溶液	65536	28342	3	{n=0}
-138875	晨钟	95110	26216	2	{n=1}
-138876	炼就	65536	28860	3	{v=0}
-138877	知更鸟	65536	168610	3	{n=0}
-138878	知根知	114666	168935	1	null
-138879	知根知底	65536	138878	3	{l=0}
-138880	地堡	65536	22320	3	{n=0}
-138881	市容	65536	24066	3	{n=5}
-138882	套近	81166	22871	1	null
-138883	桂冠	65536	26690	3	{n=4}
-138884	抹鼻	92288	25273	1	null
-138885	国度	65536	22269	3	{n=2}
-138886	知法犯	111027	170115	1	null
-138887	热核武	110729	188741	1	null
-138888	知法犯法	65536	138886	3	{i=1}
-138889	口述	65536	21475	3	{v=1, vn=0}
-138890	名校	65536	21517	3	{n=0}
-138891	异国	90135	24322	2	{n=4}
-138892	异图	65536	24322	3	{n=0}
-138893	煞是	65536	29022	3	{v=0}
-138894	楷范	65536	26999	3	{n=0}
-138895	眼花耳	109723	196033	1	null
-138896	拿腔	95964	25343	1	null
-138897	布匹	65536	24067	3	{n=1}
-138898	才略	65536	25165	3	{n=0}
-138899	知疼着	109992	172394	1	null
-138900	生长率	65536	206744	3	{n=0}
-138901	知疼着热	65536	138899	3	{i=0}
-138902	津田	65536	27941	3	{nr=0}
-138903	知识分子	65536	139057	3	{l=0, n=35}
-138904	知识青年	65536	156797	3	{l=1, n=1}
-138905	知足常	118859	178529	1	null
-138906	活动月	65536	173543	3	{n=1}
-138907	知足常乐	65536	138905	3	{l=0}
-138908	服务员	65536	133989	3	{n=12}
-138909	生态学	112092	193050	2	{n=5}
-138910	知过必	113001	179061	1	null
-138911	敲门	95847	25970	2	{v=2}
-138912	官儿	65536	23448	3	{n=1}
-138913	电烤箱	65536	197929	3	{n=1}
-138914	知过必改	65536	138910	3	{i=0}
-138915	底码	65536	24213	3	{n=0}
-138916	把门	65536	25226	3	{v=0}
-138917	知难而	102093	180844	1	null
-138918	的士	65536	30340	3	{n=0}
-138919	同现	65536	21516	3	{v=0}
-138920	知难而进	65536	138917	3	{i=3}
-138921	矫形术	65536	142931	3	{n=0}
-138922	土拨	65536	22303	1	null
-138923	沦落街	105508	142193	1	null
-138924	田径馆	65536	181064	3	{n=0}
-138925	矫揉造	118610	144058	1	null
-138926	矫揉造作	65536	138925	3	{i=0}
-138927	回溯	65536	22238	3	{v=0, vn=0}
-138928	矫枉过	111439	145018	1	null
-138929	活动期	65536	173543	3	{n=1}
-138930	矫枉过正	65536	138928	3	{i=0}
-138931	故伎	80785	25925	2	{n=0}
-138932	溪水	65536	28330	3	{n=2}
-138933	承办	65536	25215	3	{v=16, vn=3}
-138934	桥头	102332	26725	2	{s=2}
-138935	矩尺	65536	30697	3	{n=0}
-138936	矬子	65536	30700	3	{n=1}
-138937	短不了	65536	186025	3	{v=0}
-138938	短元音	65536	186847	3	{n=0}
-138939	短兵相	113432	186897	1	null
-138940	才疏	91194	25165	1	null
-138941	短兵相接	65536	138939	3	{i=0}
-138942	异地	65536	24322	3	{n=10}
-138943	短出出	65536	187030	3	{z=0}
-138944	撒欢	65536	25746	3	{v=0}
-138945	短大衣	65536	188867	3	{n=0}
-138946	滴水檐	65536	144505	3	{n=0}
-138947	洛桑	65536	27931	3	{ns=4}
-138948	短小精	114232	189611	1	null
-138949	短小精悍	65536	138948	3	{i=1}
-138950	文学院	65536	170166	3	{n=0}
-138951	湘帘	65536	28248	3	{n=0}
-138952	头昏	70494	22836	2	{v=2}
-138953	源于	65536	28304	3	{v=9}
-138954	样本	65536	26679	3	{n=4}
-138955	截长	79409	25130	1	null
-138956	甩开	65536	29993	3	{v=1}
-138957	知难而退	65536	138917	3	{l=1}
-138958	浸渍	65536	28024	3	{v=0}
-138959	微不	75193	24494	1	null
-138960	涌现	65536	28044	3	{v=34, vn=1}
-138961	密特	79686	23494	1	null
-138962	狐假	99731	29392	1	null
-138963	短尾猴	65536	189658	3	{n=1}
-138964	失信	65536	22833	3	{v=4}
-138965	短巴巴	65536	190096	3	{z=0}
-138966	官兵	85052	23448	2	{n=164}
-138967	旱情	65536	26097	3	{n=3}
-138968	样机	65536	26679	3	{n=0}
-138969	短平快	65536	190223	3	{j=1}
-138970	布厂	65536	24067	3	{n=6}
-138971	特困户	65536	179507	3	{n=32}
-138972	短撅撅	65536	191777	3	{z=0}
-138973	真真切	117527	197068	1	null
-138974	暖洋	93703	26262	1	null
-138975	梅山	86748	26757	2	{ns=0}
-138976	比较级	65536	182481	3	{n=0}
-138977	失修	65536	22833	3	{v=1}
-138978	短斤少	118975	192064	1	null
-138979	短斤少两	65536	138978	3	{i=0}
-138980	同班	65536	21516	3	{v=0, vn=0}
-138981	短斤缺两	65536	147979	3	{l=1}
-138982	前项	65536	21069	3	{n=0}
-138983	短时期	65536	192146	3	{n=2}
-138984	短短的	65536	196745	3	{z=5}
-138985	相对主	118168	195313	1	null
-138986	复查	65536	22797	3	{v=0, vn=0}
-138987	短篇小	103161	197731	1	null
-138988	火上浇	104346	183417	1	null
-138989	短篇小说	65536	138987	3	{l=0, n=11}
-138990	短线专业	65536	138992	3	{n=0}
-138991	畸形学	65536	139348	3	{n=0}
-138992	短线专	118996	198491	1	null
-138993	短线产品	65536	139140	3	{n=0}
-138994	波斯菊	65536	158106	3	{n=0}
-138995	客票	65536	23458	3	{n=9}
-138996	分辨	65561	20998	2	{v=3, vn=0}
-138997	分辩	65536	20998	3	{v=0, vn=0}
-138998	归属	85981	24402	2	{v=2, vn=8}
-138999	氮肥	65536	27694	3	{n=0}
-139000	短视症	65536	201314	3	{n=0}
-139001	短统袜	65536	198523	3	{n=0}
-139002	水泥钉	65536	188833	3	{n=0}
-139003	短训班	65536	201801	3	{n=2}
-139004	官军	65536	23448	3	{n=0}
-139005	短距离	65536	202361	3	{n=7}
-139006	短路器	65536	202379	3	{n=0}
-139007	瑶山	65536	29814	3	{n=4}
-139008	矮墩墩	65536	142470	3	{z=0}
-139009	故作	95077	25925	1	null
-139010	市尺	65536	24066	3	{q=0}
-139011	夏管	65536	22799	3	{n=0}
-139012	矮孟牛	65536	143164	3	{nz=3}
-139013	怀璧	91524	24576	1	null
-139014	矮矮墩	116318	150475	1	null
-139015	矮矮墩墩	65536	139014	3	{z=0}
-139016	石刁柏	65536	191526	3	{n=0}
-139017	石嘴山	114953	192601	2	{ns=0}
-139018	前额	65536	21069	3	{n=1}
-139019	石嘴山市	65536	139017	3	{ns=0}
-139020	掩鼻	84352	25513	1	null
-139021	炉子	65536	28809	3	{n=9}
-139022	头晕	70573	22836	2	{v=0}
-139023	石头子儿	65536	140044	3	{n=0}
-139024	微乎	90621	24494	1	null
-139025	石子路	65536	193909	3	{n=0}
-139026	矮个儿	65536	139783	3	{n=0}
-139027	石头块	65536	193369	3	{n=1}
-139028	暖流	65536	26262	3	{n=7}
-139029	寒噤	65536	23506	3	{n=0}
-139030	石家庄	114965	194011	2	{ns=38}
-139031	石家庄市	65536	139030	3	{ns=13}
-139032	石拱桥	65536	195862	3	{n=1}
-139033	异型	65536	24322	3	{b=1}
-139034	建华	65536	24314	3	{nz=6}
-139035	梅岭	101304	26757	2	{ns=0}
-139036	承包	94993	25215	2	{v=29, vd=0, vn=15}
-139037	样板	99379	26679	2	{n=3}
-139038	源代	100508	28304	1	null
-139039	石斑鱼	65536	196534	3	{n=5}
-139040	石景山	117739	196756	2	{n=1, ns=6}
-139041	德州	87533	24503	2	{ns=1}
-139042	猴戏	65536	29492	3	{n=0}
-139043	桑叶	65536	26705	3	{n=0}
-139044	知情人	65536	167027	3	{n=2}
-139045	石景山区	65536	139040	3	{ns=2}
-139046	市属	65536	24066	3	{b=3, j=1}
-139047	分进	66698	20998	1	null
-139048	石棉瓦	65536	197358	3	{n=1}
-139049	石榴石	65536	197593	3	{n=0}
-139050	石沉大	111033	198318	1	null
-139051	晋冀	85366	26187	1	null
-139052	废物	65536	24223	3	{n=3}
-139053	建卡	65536	24314	3	{v=2, vn=0}
-139054	杨宋	85480	26472	1	null
-139055	污点	65536	27745	3	{n=0}
-139056	石沉大海	65536	139050	3	{i=0}
-139057	知识分	115527	178036	1	null
-139058	石河子	114995	198360	2	{ns=3}
-139059	止渴	65536	27490	3	{v=0}
-139060	截门	65536	25130	3	{n=0}
-139061	石河子市	65536	139058	3	{ns=1}
-139062	按部	92836	25353	1	null
-139063	石油大臣	65536	139411	3	{n=0}
-139064	石浦港	65536	198539	3	{ns=2}
-139065	石漫滩	65536	198992	3	{ns=5}
-139066	石油城	65536	198366	3	{n=2}
-139067	石版画	65536	199789	3	{n=0}
-139068	张牙	77318	24352	1	null
-139069	复核	65536	22797	3	{v=3, vn=3}
-139070	复根	65536	22797	3	{n=0}
-139071	攀西	65536	25856	3	{ns=2}
-139072	浸湿	65536	28024	3	{v=2}
-139073	抓走	65536	25235	3	{v=0}
-139074	皓洁	65536	30355	3	{z=0}
-139075	杳无音讯	65536	142496	3	{i=0}
-139076	石破天	114299	201305	1	null
-139077	石破天惊	65536	139076	3	{i=0}
-139078	石炭系	65536	199378	3	{n=0}
-139079	石碾子	65536	201443	3	{n=0}
-139080	抓起	65536	25235	3	{v=17}
-139081	石经寺	65536	202996	3	{ns=0}
-139082	桂剧	65536	26690	3	{n=0}
-139083	揭老	93087	25581	1	null
-139084	石膏像	65536	203700	3	{n=0}
-139085	分送	65536	20998	3	{v=3, vn=0}
-139086	建厂	65536	24314	3	{v=6, vn=0}
-139087	石花胶	65536	203990	3	{n=0}
-139088	护嫂	65536	25252	3	{n=1}
-139089	石菖蒲	65536	204283	3	{n=0}
-139090	地壳	65536	22320	3	{n=1}
-139091	微云	65536	24494	3	{n=0}
-139092	石蕊试	106659	204655	1	null
-139093	分选	65536	20998	3	{v=4, vn=1}
-139094	矫健	65536	30699	3	{a=4, nr=0}
-139095	石英砂	65536	204054	3	{n=0}
-139096	烘丝	106261	28888	1	null
-139097	杨家	103654	26472	1	null
-139098	坐舱	65536	22352	3	{n=0}
-139099	石蕊试纸	65536	139092	3	{l=0}
-139100	栗钙	102136	26647	1	null
-139101	石钟乳	65536	208580	3	{n=0}
-139102	猴手	105084	29492	1	null
-139103	生死存	115484	195988	1	null
-139104	瞬即	65536	30636	3	{d=1}
-139105	布吉	70479	24067	1	null
-139106	坐船	65536	22352	3	{v=1}
-139107	地处	65536	22320	3	{v=42}
-139108	吃闭	65724	21507	1	null
-139109	石阶道	65536	208987	3	{n=1}
-139110	石首市	65536	209851	3	{ns=0}
-139111	煞有	112847	29022	1	null
-139112	相对人	65536	195313	3	{n=2}
-139113	吃闲	65546	21507	1	null
-139114	橡皮糖	65536	132644	3	{n=0}
-139115	桃汛	65536	26691	3	{n=0}
-139116	石门县	65536	208909	3	{ns=0}
-139117	异域	65536	24322	3	{n=5}
-139118	回潮	65536	22238	3	{v=2, vn=0}
-139119	石鼓文	65536	211256	3	{n=0}
-139120	矸石	65536	30712	3	{n=0}
-139121	矽肺	65536	30717	3	{n=0}
-139122	摆布	65536	25670	3	{v=1, vn=0}
-139123	晴雨	101302	26228	1	null
-139124	石灰岩	65536	199317	3	{n=0}
-139125	石龙乡	65536	211390	3	{ns=0}
-139126	矾土	65536	30718	3	{n=0}
-139127	矿产品	65536	182060	3	{n=4}
-139128	矿务局	65536	183078	3	{n=16}
-139129	爽心	65536	29245	3	{a=0}
-139130	矿化度	65536	183195	3	{n=2}
-139131	北郊	65536	21271	3	{n=1, s=2}
-139132	矿泉水瓶	65536	144063	3	{n=0}
-139133	淤积	65536	28132	3	{v=8, vn=0}
-139134	溶溶	65536	28342	3	{z=1}
-139135	矿物纤维	65536	148201	3	{l=0}
-139136	标准化	65536	149778	3	{v=5, vd=0, vn=8}
-139137	矿泉壶	65536	189774	3	{n=0}
-139138	核工业部	65536	124521	3	{n=1}
-139139	矿用车	65536	191917	3	{n=1}
-139140	短线产	117296	198491	1	null
-139141	玄武湖	65536	146686	3	{ns=0}
-139142	地大	67692	22320	1	null
-139143	承印	65536	25215	3	{v=0}
-139144	想象	92398	24819	2	{v=28, vn=5}
-139145	政治部	65536	159752	3	{n=14, nt=0}
-139146	石头城	65536	193369	3	{ns=1}
-139147	电磁振	102445	199942	1	null
-139148	景德	83305	26223	1	null
-139149	溢洪	108928	28322	1	null
-139150	矿管办	65536	193574	3	{j=1}
-139151	界定	65536	30028	3	{v=6, vn=2}
-139152	石门口	65536	208909	3	{ns=0}
-139153	浪桥	65536	28010	3	{n=0}
-139154	砀山	117723	30720	2	{ns=0}
-139155	地头	65539	22320	2	{s=2}
-139156	甲状腺素	65536	143032	3	{n=0}
-139157	师父	65536	24072	3	{n=0}
-139158	师爷	65536	24072	3	{n=0}
-139159	官制	65536	23448	3	{n=2}
-139160	本位货	98990	172422	1	null
-139161	北部	65540	21271	2	{f=50}
-139162	砀山县	65536	139154	3	{ns=1}
-139163	四爷	65536	22235	3	{n=2}
-139164	国徽	65536	22269	3	{n=2}
-139165	涸辙	110264	28088	1	null
-139166	码分多	116832	139188	1	null
-139167	分道	65554	20998	1	null
-139168	码分多址	65536	139166	3	{n=1}
-139169	爽快	65536	29245	3	{a=3, an=0}
-139170	布告	82218	24067	2	{n=0}
-139171	团购	65536	22242	3	{n=0, v=3}
-139172	溢流	108936	28322	1	null
-139173	张狂	65536	24352	3	{a=0}
-139174	漏掉	65536	28431	3	{v=2}
-139175	砂洗厂	65536	159699	3	{n=1}
-139176	摩萨	93102	25705	1	null
-139177	砌砖	65536	30732	3	{v=0}
-139178	砍大山	65536	141834	3	{l=0}
-139179	矿物学	65536	191214	3	{n=0}
-139180	理发师	65536	175603	3	{n=0}
-139181	砍头疮	65536	141847	3	{n=0}
-139182	砒霜	65536	30738	3	{n=0}
-139183	团费	65536	22242	3	{n=0}
-139184	地契	65536	22320	3	{n=0}
-139185	研习班	65536	139321	3	{n=1}
-139186	撒气	65536	25746	3	{v=0}
-139187	研究生班	65536	149102	3	{n=0}
-139188	码分	116356	30721	1	null
-139189	猜度	65536	29468	3	{v=0}
-139190	发神	65740	21457	1	null
-139191	研究院所	65536	157617	3	{j=0}
-139192	研究馆员	65536	158421	3	{n=1}
-139193	皂素	65536	30338	3	{n=0}
-139194	研修班	65536	139719	3	{n=1}
-139195	合约	65536	21512	3	{n=1}
-139196	砖瓦房	65536	150449	3	{n=1}
-139197	发祥	72464	21457	1	null
-139198	研讨会	65536	155009	3	{n=78}
-139199	标准单	104023	149778	1	null
-139200	发票	65536	21457	3	{n=26, v=0}
-139201	溪流	65536	28330	3	{n=4}
-139202	砚台	65536	30746	3	{n=0}
-139203	砝码	65536	30749	3	{n=0}
-139204	如意	70381	22914	2	{a=0, an=1, n=1, nz=0}
-139205	瞬变	108035	30636	1	null
-139206	砟子	65536	30751	3	{n=0}
-139207	砍头痈	65536	141847	3	{n=0}
-139208	砣子	65536	30755	3	{n=0}
-139209	我院	65536	25105	3	{n=1}
-139210	合纵	65568	21512	1	null
-139211	砥柱中	111246	139214	1	null
-139212	烘云	107512	28888	1	null
-139213	文学革	97116	170166	1	null
-139214	砥柱	119198	30757	1	null
-139215	砥柱中流	65536	139211	3	{i=0}
-139216	盆子	65536	30406	3	{n=0}
-139217	服服	98536	26381	1	null
-139218	可耕	70534	21487	1	null
-139219	砭骨	65536	30765	3	{v=1}
-139220	少管	82044	23569	1	null
-139221	样样	65536	26679	3	{n=1, q=4}
-139222	灰不溜	101181	168435	1	null
-139223	破产案	65536	183584	3	{n=2}
-139224	砧子	65536	30759	3	{n=0}
-139225	破伤风	65536	183709	3	{n=1}
-139226	砍价	65536	30733	3	{v=1}
-139227	南货	65536	21335	3	{n=0}
-139228	破冰船	65536	184361	3	{n=0}
-139229	爽性	65536	29245	3	{d=0}
-139230	瘴疠	65536	30260	3	{n=0}
-139231	破击战	65536	184436	3	{n=0}
-139232	破口大	99690	184924	1	null
-139233	感人	80767	24863	2	{a=22}
-139234	摆平	65536	25670	3	{v=2}
-139235	玄之	113164	29572	1	null
-139236	展销	87407	23637	2	{v=7, vn=2}
-139237	满怀深	106770	173401	1	null
-139238	玄乎	65536	29572	3	{a=0}
-139239	发福	65536	21457	3	{n=0, v=2}
-139240	承发	93887	25215	1	null
-139241	独具慧	103701	183621	1	null
-139242	桃花运	65536	144833	3	{n=0}
-139243	榆荚	65536	27014	3	{n=0}
-139244	破口大骂	65536	139232	3	{i=0}
-139245	破土动	115211	185752	1	null
-139246	承受	94001	25215	2	{v=18, vn=10}
-139247	怀疑	76611	24576	2	{v=12, vn=3}
-139248	破土动工	65536	139245	3	{l=3}
-139249	破坏力	65536	185800	3	{n=0}
-139250	破壁飞	117826	186170	1	null
-139251	砍伐	65536	30733	3	{v=2, vn=2}
-139252	如愿	81827	22914	2	{v=4, vd=0}
-139253	恒齿	65536	24658	3	{n=0}
-139254	旋钮	65536	26059	3	{n=0}
-139255	活动桥	65536	173543	3	{n=0}
-139256	可耻	65536	21487	3	{a=3}
-139257	受阻	65536	21463	3	{v=6, vn=1}
-139258	桂北	65536	26690	3	{ns=0}
-139259	封皮	65536	23553	3	{n=0}
-139260	激进派	65536	165774	3	{n=0}
-139261	破壁飞去	65536	139250	3	{i=0}
-139262	带鱼	65536	24102	3	{n=1}
-139263	官办	65536	23448	3	{b=1, v=1}
-139264	烈士	109996	28872	2	{n=12}
-139265	琴师	65536	29748	3	{n=0}
-139266	破天荒	65536	186274	3	{i=2}
-139267	百分号	65536	182751	3	{n=0}
-139268	省略句	65536	191774	3	{n=0}
-139269	煤气表	65536	180348	3	{n=0}
-139270	猴拳	65536	29492	3	{n=0}
-139271	破折号	65536	188689	3	{n=0}
-139272	盈利	65536	30408	3	{n=15, v=8, vn=7}
-139273	破旧立	113242	189536	1	null
-139274	破旧立新	65536	139273	3	{i=0}
-139275	受降	65536	21463	3	{v=0}
-139276	破浪前	102458	191459	1	null
-139277	彩棉	65536	24425	3	{n=0}
-139278	受限	65536	21463	3	{v=0}
-139279	同甘	72782	21516	1	null
-139280	夏粮	65536	22799	3	{n=6}
-139281	烟斗架	65536	180691	3	{n=0}
-139282	晋剧	65536	26187	3	{n=0}
-139283	烷烃	65536	28919	3	{n=0}
-139284	枝词	90014	26525	1	null
-139285	破浪前进	65536	139276	3	{l=0}
-139286	省略号	65536	191774	3	{n=0}
-139287	破涕为	107790	191502	1	null
-139288	惨象	65536	24808	3	{n=0}
-139289	洛阳纸	93168	150693	1	null
-139290	头条	65536	22836	3	{n=0}
-139291	应城	85736	24212	2	{ns=0}
-139292	城运	77364	22478	1	null
-139293	城近	65539	22478	1	null
-139294	彩棚	65536	24425	3	{n=0}
-139295	破涕为笑	65536	139287	3	{i=0}
-139296	益处	65536	30410	3	{n=3}
-139297	料酒	65536	26009	3	{n=0}
-139298	破烂不	116729	192315	1	null
-139299	破烂不堪	65536	139298	3	{l=3}
-139300	常事	65536	24120	3	{n=3}
-139301	破瓦寒	107927	193375	1	null
-139302	朔风	65536	26388	3	{n=7}
-139303	溪涧	65536	28330	3	{n=0}
-139304	破瓦寒窑	65536	139301	3	{l=0}
-139305	破破烂	110442	194221	1	null
-139306	晌饭	65536	26188	3	{n=0}
-139307	合编	65536	21512	3	{v=1}
-139308	破破烂烂	65536	139305	3	{z=0}
-139309	破碎机	65536	194311	3	{n=0}
-139310	权术	65536	26435	3	{n=0}
-139311	界尺	65536	30028	3	{n=0}
-139312	破竹之	118130	194930	1	null
-139313	破竹之势	65536	139312	3	{i=0}
-139314	瑞士	107375	29790	2	{ns=40}
-139315	地委	65536	22320	3	{n=26}
-139316	分部	65536	20998	3	{n=4}
-139317	破绽百	118332	195958	1	null
-139318	破绽百出	65536	139317	3	{i=0}
-139319	破罐子破	113636	139326	1	null
-139320	破罐子破摔	65536	139319	3	{i=0, l=1, n=0}
-139321	研习	109508	30740	2	{v=0}
-139322	桂南	65536	26690	3	{ns=0}
-139323	理发店	65536	175603	3	{n=0}
-139324	挑毛	91144	25361	1	null
-139325	白色棉	65536	206688	3	{n=0}
-139326	破罐子	108547	196041	1	null
-139327	破罐破摔	65536	146722	3	{l=0}
-139328	槐角	65536	27088	3	{n=0}
-139329	知识化	65536	178036	3	{v=0, vn=0}
-139330	破落户	65536	197302	3	{n=0}
-139331	出错	65560	20986	2	{v=3, vn=0}
-139332	破袭战	65536	198438	3	{n=0}
-139333	模块	65536	27169	3	{n=0}
-139334	变阻	70506	21464	1	null
-139335	照相机	65536	180224	3	{n=5}
-139336	快嘴	65536	24555	3	{n=0}
-139337	破裂音	65536	198459	3	{n=0}
-139338	破路战	65536	199784	3	{n=1}
-139339	感伤	65536	24863	3	{a=0, an=1}
-139340	梅州	100904	26757	2	{ns=0}
-139341	破釜沉	106031	200789	1	null
-139342	破釜沉舟	115008	139341	2	{i=0}
-139343	破釜沉舟式	65536	139342	3	{b=1, n=0}
-139344	女中	81288	22899	2	{j=0}
-139345	献县	65536	29486	3	{ns=1}
-139346	暖湿	93954	26262	1	null
-139347	常人	65536	24120	3	{n=3}
-139348	畸形	115593	30072	2	{n=4, v=0}
-139349	权杖	65536	26435	3	{n=0}
-139350	机械论	65536	173065	3	{n=0}
-139351	珠圆	105404	29664	1	null
-139352	破铜烂	101272	201557	1	null
-139353	破铜烂铁	65536	139352	3	{n=0}
-139354	标准台	65536	149778	3	{n=0}
-139355	泛舟	65536	27867	3	{n=0, v=2}
-139356	破镜重	117079	201685	1	null
-139357	破镜重圆	65536	139356	3	{i=0}
-139358	女主	81108	22899	1	null
-139359	破门而	118524	201825	1	null
-139360	抵账	65536	25269	3	{v=0}
-139361	破门而入	106589	139359	2	{l=0}
-139362	破门而入者	65536	139361	3	{n=1}
-139363	破马张	100230	202981	1	null
-139364	破马张飞	65536	139363	3	{l=0}
-139365	口里	65536	21475	3	{s=0}
-139366	无所顾	95609	177031	1	null
-139367	左眼	65536	24038	3	{n=2}
-139368	征得	65536	24449	3	{v=1}
-139369	研究会	65536	150607	3	{n=15}
-139370	砷黄	101293	30775	1	null
-139371	回火	65536	22238	3	{v=0}
-139372	沥青	106963	27813	2	{n=2}
-139373	吃零	70921	21507	1	null
-139374	砷黄铁	108657	139370	1	null
-139375	摆开	65536	25670	3	{v=0}
-139376	砷黄铁矿	65536	139374	3	{l=0}
-139377	滋润	65536	28363	3	{a=2, an=1, v=8, vn=1}
-139378	棕色	65536	26837	3	{n=0}
-139379	摆弄	65536	25670	3	{v=2}
-139380	砸锅卖	101303	148670	1	null
-139381	材料部	65536	123428	3	{n=1}
-139382	归州	65536	24402	3	{ns=0}
-139383	官化	65536	23448	3	{v=0}
-139384	砸锅卖铁	65536	139380	3	{i=0}
-139385	模型	65536	27169	3	{n=14}
-139386	砸饭碗	65536	149798	3	{v=1}
-139387	砸烂	65536	30776	3	{v=3}
-139388	受难	65744	21463	2	{v=2, vn=0}
-139389	北里	66519	21271	2	{ns=0}
-139390	摆式	65536	25670	3	{b=0}
-139391	皇太子	65536	171102	3	{n=0}
-139392	砺石	65536	30778	3	{n=0}
-139393	砼薄	116673	30780	1	null
-139394	砼薄壁	65536	139393	3	{n=1}
-139395	硅单晶	65536	140056	3	{j=2}
-139396	欧式	65536	27431	3	{b=3}
-139397	硅橡胶	65536	145956	3	{n=0}
-139398	砾岩	65536	30782	3	{n=0}
-139399	合署	65536	21512	3	{v=1}
-139400	烈女	65536	28872	3	{n=0}
-139401	回炉	65536	22238	3	{v=1}
-139402	名模	65536	21517	3	{n=0}
-139403	硅藻土	65536	153022	3	{n=0}
-139404	硅钢片	65536	156773	3	{n=0}
-139405	硇砂	65536	30791	3	{n=0}
-139406	古色	71263	21476	1	null
-139407	护封	65536	25252	3	{n=0}
-139408	抵赖	65536	25269	3	{v=0}
-139409	硕士生	65536	141477	3	{n=8}
-139410	硕大无	111810	141537	1	null
-139411	石油大	105812	198366	1	null
-139412	常任	65536	24120	3	{b=13, vn=0}
-139413	挑水	65536	25361	3	{v=1}
-139414	硕大无比	65536	139410	3	{i=0}
-139415	发稿	65536	21457	3	{v=3, vn=1}
-139416	坐药	65536	22352	3	{n=0}
-139417	分配	66096	20998	2	{v=58, vn=83}
-139418	撒泼	65536	25746	3	{v=0}
-139419	硅酸盐	65536	155963	3	{n=0}
-139420	直角尺	65536	196136	3	{n=0}
-139421	斯洛	98923	26031	1	null
-139422	想起	65536	24819	3	{v=29}
-139423	白衣战	114371	208209	1	null
-139424	硕学耆	106656	142112	1	null
-139425	硕学耆老	65536	139424	3	{i=1}
-139426	硕果累	107385	145238	1	null
-139427	微信	65536	24494	3	{n=100}
-139428	国情	65536	22269	3	{n=46}
-139429	市川	65536	24066	3	{nr=0}
-139430	擦音	65536	25830	3	{n=0}
-139431	富裕	86156	23500	2	{a=56, an=4, n=0, ns=0, v=0}
-139432	硕果累累	65536	139426	3	{l=1}
-139433	硝化甘油	65536	142653	3	{l=0}
-139434	斗室	65536	26007	3	{n=2}
-139435	拿药	65536	25343	3	{v=1}
-139436	服务器	65536	133989	3	{n=6}
-139437	硝化细菌	65536	145131	3	{n=2}
-139438	截面	92058	25130	2	{n=0}
-139439	托病	65536	25176	3	{v=0}
-139440	漂泊	65536	28418	3	{v=2, vn=1}
-139441	硝烟弥	110983	147105	1	null
-139442	硝烟弥漫	65536	139441	3	{l=1}
-139443	常会	65536	24120	3	{n=0}
-139444	熬煎	65536	29100	3	{v=0}
-139445	昼间	65536	26172	3	{t=0}
-139446	洞烛	108482	27934	1	null
-139447	牵头	65536	29301	3	{v=10, vd=0, vn=0}
-139448	硝烟滚滚	65536	143462	3	{l=0}
-139449	合群	65536	21512	3	{a=0}
-139450	可能	68240	21487	2	{an=1, d=0, n=70, v=272, vn=0}
-139451	概算	65536	27010	3	{n=3, v=1}
-139452	同病	65628	21516	1	null
-139453	沿用	65536	27839	3	{v=6}
-139454	看不到	65536	168142	3	{v=13}
-139455	献血者	65536	152786	3	{n=9}
-139456	现场感	65536	176105	3	{n=0}
-139457	硝酸甘油	65536	139469	3	{n=0}
-139458	晋北	65536	26187	3	{ns=0}
-139459	权柄	65536	26435	3	{n=0}
-139460	硝锵水	65536	156407	3	{n=0}
-139461	泡茶	65536	27873	3	{v=3}
-139462	现实性	65536	177229	3	{n=5}
-139463	硝镪水	65536	156460	3	{n=0}
-139464	硫化橡胶	65536	139508	3	{n=0}
-139465	单证	65536	21333	3	{n=1}
-139466	硫磺泉	65536	149171	3	{n=0}
-139467	市布	65536	24066	3	{n=0}
-139468	硕儒	65536	30805	3	{n=0}
-139469	硝酸甘	111624	155450	1	null
-139470	硫胺素	65536	151219	3	{n=0}
-139471	硫化	112275	30827	2	{v=0}
-139472	硫酸亚铁	65536	139769	3	{n=0}
-139473	官印	65536	23448	3	{n=0}
-139474	硫黄岛	65536	158845	3	{n=0}
-139475	怪罪	65536	24618	3	{v=0}
-139476	硬功夫	65536	188375	3	{n=0}
-139477	单词	65574	21333	2	{n=0}
-139478	桥孔	65536	26725	3	{n=0}
-139479	硬底化	65536	191437	3	{vn=1}
-139480	硝化	112677	30813	2	{v=0}
-139481	硬指标	65536	192575	3	{n=0}
-139482	晨雾	65536	26216	3	{n=0}
-139483	猜忌	65536	29468	3	{v=0, vn=0}
-139484	惨败	65536	24808	3	{n=1, v=1, vn=1}
-139485	女人	77787	22899	2	{n=11}
-139486	前驱	65536	21069	3	{n=0}
-139487	污物	65536	27745	3	{n=0}
-139488	涡虫	65536	28065	3	{n=0}
-139489	底稿	65536	24213	3	{n=0}
-139490	硬梆梆	65536	193982	3	{z=0}
-139491	渗漏	65536	28183	3	{v=0, vn=0}
-139492	宝顶	81836	23453	2	{ns=0}
-139493	怒视	65536	24594	3	{v=0}
-139494	官厅	65536	23448	3	{n=2, ns=0}
-139495	硬环境	65536	196839	3	{n=2}
-139496	常住	65536	24120	3	{v=3, vn=0}
-139497	女仆	65536	22899	3	{n=0}
-139498	相对值	65536	195313	3	{n=0}
-139499	插手	65536	25554	3	{v=3}
-139500	研修生	65536	139719	3	{n=0}
-139501	硬皮病	65536	197606	3	{n=0}
-139502	硝化棉	65536	139480	3	{n=0}
-139503	督促	65536	30563	3	{v=9, vn=0}
-139504	发窘	65536	21457	3	{v=0}
-139505	漂洋	94876	28418	1	null
-139506	晋升	65536	26187	3	{v=1, vn=1}
-139507	拿获	65536	25343	3	{v=0}
-139508	硫化橡	106450	139471	1	null
-139509	石炭纪	65536	199378	3	{t=0}
-139510	硬着头	109129	197752	1	null
-139511	硬着头皮	65536	139510	3	{l=1}
-139512	撤诉	65536	25764	3	{v=2}
-139513	硬碰硬	65536	198120	3	{v=1}
-139514	烈火金	94634	145280	1	null
-139515	土改	65536	22303	3	{v=0, vn=0}
-139516	硬纸板	65536	199664	3	{n=0}
-139517	漂洗	65536	28418	3	{v=0}
-139518	硬脂酸	65536	200250	3	{n=0}
-139519	硬设备	65536	202998	3	{n=0}
-139520	硬质合	102198	203360	1	null
-139521	土政	65566	22303	1	null
-139522	晋南	65536	26187	3	{ns=0}
-139523	洒水车	65536	132044	3	{n=0}
-139524	演艺界	65536	158474	3	{n=7}
-139525	百货大	110436	197888	1	null
-139526	眷念	65536	30519	3	{v=0, vn=2}
-139527	硬质合金	65536	139520	3	{l=0}
-139528	杀人越	87138	142378	1	null
-139529	半音	65536	21322	3	{n=0}
-139530	泰然自	95564	149543	1	null
-139531	单调	65536	21333	3	{a=6, an=1}
-139532	琴弓	65536	29748	3	{n=0}
-139533	硬通货	65536	204114	3	{n=0}
-139534	归并	65536	24402	3	{v=2}
-139535	硬邦邦	109197	204254	2	{z=2}
-139536	百合花	65536	183265	3	{n=1}
-139537	硬邦邦的	65536	139535	3	{z=1}
-139538	出门	65861	20986	2	{v=10, vn=0}
-139539	四环	65559	22235	2	{ns=0}
-139540	确乎不	114249	142728	1	null
-139541	煤炭法	65536	181525	3	{n=1}
-139542	城郊	77558	22478	2	{s=5}
-139543	烦心	65536	28902	3	{a=1, an=0}
-139544	硬骨头	65536	206816	3	{n=3}
-139545	末端	65536	26411	3	{n=2, s=1}
-139546	分野	65536	20998	3	{n=0, v=0}
-139547	分量	65536	20998	3	{n=18}
-139548	失利	65536	22833	3	{v=11, vn=1}
-139549	确乎不拔	65536	139540	3	{i=0}
-139550	幽美	65536	24189	3	{a=0}
-139551	琴弦	65536	29748	3	{n=2}
-139552	确定性	65536	146132	3	{n=0}
-139553	合而	73144	21512	1	null
-139554	盈千	105605	30408	1	null
-139555	硼砂	65536	30844	3	{n=0}
-139556	常例	65536	24120	3	{n=1}
-139557	碉堡	65536	30857	3	{n=0}
-139558	服务团	65536	133989	3	{n=1}
-139559	漂流	95926	28418	2	{v=2, vn=0}
-139560	悬空	65536	24748	3	{v=3, vd=1, vn=0}
-139561	碌碌	115317	30860	1	null
-139562	景慕	65536	26223	3	{v=0}
-139563	出阁	65536	20986	3	{v=0}
-139564	汽机	65536	27773	3	{n=0}
-139565	碌碌庸	114403	139561	1	null
-139566	汽车站	65536	149848	3	{n=7}
-139567	抢滩	65536	25250	3	{v=1, vn=0}
-139568	碌碌庸才	65536	139565	3	{i=0}
-139569	碌碌无为	65536	141397	3	{i=0}
-139570	碍于情	100821	139576	1	null
-139571	底窑	65536	24213	3	{ns=0}
-139572	展限	65536	23637	3	{v=0}
-139573	碍事	65536	30861	3	{a=1}
-139574	摇蚊	65536	25671	3	{n=0}
-139575	碍于情面	65536	139570	3	{l=0}
-139576	碍于	114797	30861	1	null
-139577	城郭	65536	22478	3	{n=0}
-139578	碍手碍	106530	144629	1	null
-139579	烦忧	65536	28902	3	{a=0}
-139580	碍手碍脚	65536	139578	3	{i=0}
-139581	应声	75392	24212	2	{v=1}
-139582	火山灰	65536	187104	3	{n=3}
-139583	模塑	65536	27169	3	{n=1, nz=0}
-139584	碎嘴子	65536	140015	3	{n=0}
-139585	碎骨粉	103064	157539	1	null
-139586	盟兄	113556	30431	1	null
-139587	碎骨粉身	65536	139585	3	{i=0}
-139588	电唱机	65536	190838	3	{n=0}
-139589	碘化钾	65536	140642	3	{n=0}
-139590	护岸	88950	25252	2	{v=1}
-139591	发端	65536	21457	3	{n=0, v=0}
-139592	濡湿	65536	28641	3	{v=0}
-139593	瞎奶	65536	30606	3	{n=0}
-139594	碗口	65536	30871	3	{n=0}
-139595	碘仿	65536	30872	3	{n=0}
-139596	基藏	73464	22522	1	null
-139597	氯碱	65536	27695	3	{n=1}
-139598	碘甘油	65536	149348	3	{n=0}
-139599	碘缺乏	109451	151942	1	null
-139600	碘缺乏病	65536	139599	3	{n=0}
-139601	斜率	65536	26012	3	{n=0}
-139602	碘钨灯	65536	157428	3	{n=0}
-139603	橡皮线	65536	132644	3	{n=0}
-139604	漂浮	102405	28418	2	{a=0, v=2, vn=0}
-139605	碟子	65536	30879	3	{n=0}
-139606	碣石	65536	30883	3	{n=1, ns=0}
-139607	女伴	65536	22899	3	{n=1}
-139608	片瓦无	110146	154404	1	null
-139609	官司	65536	23448	3	{n=5}
-139610	田纳西河	65536	135812	3	{n=0}
-139611	碧油油	65536	150418	3	{z=0}
-139612	眷恋	65536	30519	3	{v=4, vn=1}
-139613	狭心	104224	29421	1	null
-139614	碧波万	100585	150459	1	null
-139615	出阵	65536	20986	3	{v=0}
-139616	碧波万顷	65536	139614	3	{l=1}
-139617	异姓	65536	24322	3	{b=0}
-139618	商约	65536	21830	3	{n=0}
-139619	碧澄澄	65536	151133	3	{z=0}
-139620	市府	85837	24066	2	{j=1, n=2}
-139621	碧粼粼	65536	154517	3	{z=0}
-139622	坐落	65536	22352	3	{v=11}
-139623	柿霜	65536	26623	3	{n=0}
-139624	监察室	65536	159387	3	{n=4}
-139625	发笑	65536	21457	3	{v=0}
-139626	碧莹莹	65536	156306	3	{z=0}
-139627	泡菜	65536	27873	3	{n=0}
-139628	火力点	65536	184586	3	{n=0}
-139629	碧螺春	65536	157331	3	{n=0}
-139630	官名	65536	23448	3	{n=0}
-139631	碰头会	65536	144039	3	{n=1}
-139632	官吏	65536	23448	3	{n=1}
-139633	女低	65559	22899	1	null
-139634	狙杀	65536	29401	3	{v=0}
-139635	濒死	65536	28626	3	{v=0}
-139636	变革	65536	21464	3	{v=4, vn=29}
-139637	碰簧锁	65536	152986	3	{n=0}
-139638	漠河	65536	28448	3	{ns=2}
-139639	斗山	65536	26007	3	{ns=0}
-139640	独步清	106349	190259	1	null
-139641	碰碰船	65536	152099	3	{n=0}
-139642	碰运气	65536	158019	3	{l=0}
-139643	土方	65536	22303	3	{n=2}
-139644	碰钉子	65536	159228	3	{v=0}
-139645	碘化银	65536	140642	3	{n=0}
-139646	碱土金	116005	142532	1	null
-139647	女作	77788	22899	1	null
-139648	形状	65536	24418	3	{n=2}
-139649	溶点	65536	28342	3	{n=0}
-139650	检波	102924	26816	2	{v=0}
-139651	碱土金属	65536	139646	3	{l=0}
-139652	碱式盐	65536	144564	3	{n=0}
-139653	碱性岩	65536	144844	3	{n=0}
-139654	女佣	65536	22899	3	{n=0}
-139655	挥金	93608	25381	1	null
-139656	电信局	65536	189478	3	{n=4}
-139657	珊瑚滩	65536	134936	3	{n=2}
-139658	名次	65536	21517	3	{n=3}
-139659	碱石灰	65536	150936	3	{n=0}
-139660	出院	65536	20986	3	{v=1, vn=1}
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-139662	碱金属	65536	157558	3	{n=0}
-139663	碱集料	65536	158827	3	{n=0}
-139664	碳丝灯	65536	139726	3	{n=0}
-139665	土族	65536	22303	3	{nz=2}
-139666	曝露	65536	26333	3	{v=0}
-139667	出险	65536	20986	3	{v=0}
-139668	瞻前	99742	30651	1	null
-139669	百花园	65536	195210	3	{n=1}
-139670	碳氢化	110385	147411	1	null
-139671	甄拔	65536	29956	3	{v=0}
-139672	构词	96068	26500	1	null
-139673	盟军	65536	30431	3	{n=0}
-139674	碳氢化物	65536	139670	3	{n=0}
-139675	碳素钢	65536	151761	3	{n=0}
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-139678	怀着	65536	24576	3	{v=15}
-139679	碳酰基	65536	156961	3	{n=0}
-139680	桃源	103336	26691	2	{ns=0}
-139681	碳酸氢铵	65536	139737	3	{n=0}
-139682	碴儿	65536	30900	3	{n=0}
-139683	碾米机	65536	150194	3	{n=0}
-139684	申城	65536	30003	3	{j=1, ns=0}
-139685	磁倾角	65536	179773	3	{n=0}
-139686	磁偏角	65536	179790	3	{n=0}
-139687	名款	65536	21517	3	{n=3}
-139688	显灵	65536	26174	3	{v=0}
-139689	碳化物	65536	140999	3	{n=0}
-139690	朝阳镇	65536	171470	3	{ns=0}
-139691	扬水	83543	25196	1	null
-139692	磁共振	65536	180080	3	{n=1}
-139693	磁力线	65536	180378	3	{n=0}
-139694	磁化水	65536	180501	3	{n=0}
-139695	磁合金	65536	180743	3	{n=0}
-139696	磁导率	65536	182779	3	{n=0}
-139697	林业部	65536	156013	3	{nt=14}
-139698	失势	65536	22833	3	{v=0}
-139699	反而	65536	21453	3	{d=32}
-139700	漏斗	65536	28431	3	{n=0}
-139701	病原学	65536	187844	3	{n=0}
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-139703	意犹	87262	24847	1	null
-139704	燎泡	65536	29134	3	{n=0}
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-139708	看家本	99345	171639	1	null
-139709	磁峰镇	65536	183023	3	{ns=0}
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-139717	地学	73522	22320	2	{n=0}
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-139720	攀谈	65536	25856	3	{v=0}
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-139730	磁悬浮	65536	183979	3	{n=0}
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-139732	磁探仪	65536	184737	3	{n=0}
-139733	常值	65536	24120	3	{j=1}
-139734	同盟	73480	21516	2	{n=7}
-139735	磁效应	65536	185159	3	{n=0}
-139736	客籍	65536	23458	3	{n=0}
-139737	碳酸氢	101548	156969	1	null
-139738	寒天	65536	23506	3	{n=2}
-139739	扬汤	87503	25196	1	null
-139740	磁盘机	65536	189655	3	{n=0}
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-139742	磁谱仪	65536	195120	3	{n=0}
-139743	矩形	65536	30697	3	{n=0}
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-139745	土星	65536	22303	3	{n=2}
-139746	磁通量	65536	196121	3	{n=0}
-139747	消费税	65536	188948	3	{n=4}
-139748	磁铁矿	65536	197312	3	{n=0}
-139749	磅礴	65536	30917	3	{a=0, v=1, vn=0}
-139750	磊落	65536	30922	3	{a=0}
-139751	磋商	65536	30923	3	{v=14, vn=27}
-139752	出难	65537	20986	1	null
-139753	混合税	65536	141444	3	{n=0}
-139754	文学馆	65536	170166	3	{n=1}
-139755	检测	102926	26816	2	{v=22, vn=29}
-139756	磐安	118318	30928	1	null
-139757	磐安县	65536	139756	3	{ns=0}
-139758	磕头碰	106718	139760	1	null
-139759	磕头碰脑	65536	139758	3	{l=0}
-139760	磕头	108862	30933	2	{v=3}
-139761	影院	65536	24433	3	{n=6}
-139762	此起彼落	65536	126146	3	{i=0}
-139763	桥山	65536	26725	3	{ns=0}
-139764	磕磕撞	114007	147857	1	null
-139765	磕磕撞撞	65536	139764	3	{z=0}
-139766	磕磕碰碰	65536	144902	3	{l=1, v=1}
-139767	湿气	65536	28287	3	{n=0}
-139768	水平线	65536	185135	3	{n=0}
-139769	硫酸亚	101391	155441	1	null
-139770	浩气	91553	28009	2	{n=0}
-139771	磕磕绊绊	65536	146464	3	{z=1}
-139772	磙子	65536	30937	3	{n=0}
-139773	磨不开	65536	177269	3	{v=0}
-139774	得大	78084	24471	1	null
-139775	磨光机	65536	178097	3	{n=0}
-139776	得天	81924	24471	1	null
-139777	磨刀霍霍	65536	147741	3	{i=2}
-139778	猜想	65536	29468	3	{v=0, vn=3}
-139779	磨刀石	65536	178280	3	{n=0}
-139780	磨合期	65536	178800	3	{n=2}
-139781	疲于	113649	30130	1	null
-139782	磨嘴皮	65536	179356	3	{l=0}
-139783	矮个	118227	30702	1	null
-139784	得失	77712	24471	2	{n=11}
-139785	磨拳擦	114306	182619	1	null
-139786	泪如雨	109027	136879	1	null
-139787	微光	65536	24494	3	{n=0}
-139788	烛泪	65536	28891	3	{n=0}
-139789	找麻	86211	25214	1	null
-139790	磨拳擦掌	65536	139785	3	{i=0}
-139791	磨损性	65536	182727	3	{n=0}
-139792	磨杵成	101770	183773	1	null
-139793	图鉴	65536	22270	3	{n=0}
-139794	磨杵成针	65536	139792	3	{i=0}
-139795	磨洋工	65536	185203	3	{v=0}
-139796	磨漆画	65536	185710	3	{n=0}
-139797	康裕	65536	24247	3	{nz=0}
-139798	展露	65536	23637	3	{v=2, vn=0}
-139799	甩手	110290	29993	2	{v=0, vn=0}
-139800	城里	77464	22478	2	{s=23}
-139801	磨电灯	65536	187293	3	{n=0}
-139802	桑园	65536	26705	3	{n=0}
-139803	磨砂灯	111931	188010	1	null
-139804	磨砂灯泡	65536	139803	3	{n=0}
-139805	磨砂玻璃	65536	140647	3	{n=0}
-139806	国房	65536	22269	3	{j=2}
-139807	磨砖对	107268	188030	1	null
-139808	渗灌	65536	28183	3	{v=1, vn=0}
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-139810	磴口	118373	30964	2	{ns=0}
-139811	德惠	87534	24503	1	null
-139812	磴口县	65536	139810	3	{ns=0}
-139813	磷灰石	65536	147903	3	{n=0}
-139814	磺胺	117677	30970	2	{n=0}
-139815	孤高	65536	23396	3	{a=0}
-139816	磺胺噻	118040	139814	1	null
-139817	磺胺噻唑	65536	139816	3	{n=0}
-139818	国手	65536	22269	3	{n=10}
-139819	桥岩	101229	26725	1	null
-139820	礁堡	65536	30977	3	{n=0}
-139821	得奖	65536	24471	3	{v=1}
-139822	磷酸盐	65536	156359	3	{n=0}
-139823	示威者	65536	142766	3	{n=3}
-139824	单质	65536	21333	3	{n=0}
-139825	示意图	65536	144572	3	{n=6}
-139826	示波器	65536	147599	3	{n=0}
-139827	示范带头	65536	150354	3	{n=0}
-139828	示踪原	116454	156119	1	null
-139829	石花菜	65536	203990	3	{n=0}
-139830	示踪原子	65536	139828	3	{l=0}
-139831	怪胎	65536	24618	3	{n=0}
-139832	礼义廉	107006	160309	1	null
-139833	礼义廉耻	65536	139832	3	{i=0}
-139834	犹太教	109574	137169	2	{nz=0}
-139835	礼仪之	102806	160470	1	null
-139836	礼仪之邦	65536	139835	3	{i=2}
-139837	礼宾司	65536	163754	3	{n=0}
-139838	礼尚往	113370	163846	1	null
-139839	礼尚往来	65536	139838	3	{i=3}
-139840	植被	65536	26893	3	{n=5}
-139841	礼品店	65536	161965	3	{n=0}
-139842	礼服呢	65536	166649	3	{n=0}
-139843	礼泉县	65536	168117	3	{ns=0}
-139844	受领	65536	21463	3	{v=0}
-139845	礼炮声	65536	169114	3	{n=0}
-139846	礼节性	65536	173678	3	{n=2}
-139847	礼贤下	117087	176400	1	null
-139848	失单	65536	22833	3	{n=0}
-139849	南辕	69719	21335	1	null
-139850	礼贤下士	65536	139847	3	{i=0}
-139851	朝阳门	65536	171470	3	{ns=0}
-139852	目录学	65536	160726	3	{n=0}
-139853	社会主义	115541	151111	2	{n=717}
-139854	曾随	65536	26366	3	{ns=0}
-139855	社会主义建	104083	139853	1	null
-139856	滑雪衫	65536	164366	3	{n=0}
-139857	社会主义建设	107087	139855	1	null
-139858	德意	87066	24503	1	null
-139859	电视剧	65536	204299	3	{n=61}
-139860	社会主义建设者	65536	139857	3	{n=1}
-139861	影集	65536	24433	3	{n=0}
-139862	狮泉	106562	29422	1	null
-139863	盼归	65536	30460	3	{v=4}
-139864	地对	74708	22320	1	null
-139865	清清爽	101520	192287	1	null
-139866	拜物	90165	25308	1	null
-139867	归心	90561	24402	2	{n=0, v=0}
-139868	暖炉	65536	26262	3	{n=0}
-139869	社会保险	102541	151529	2	{l=8}
-139870	社会保险金	65536	139869	3	{n=1}
-139871	后父	65536	21518	3	{n=0}
-139872	台词	65536	21488	3	{n=5}
-139873	坐蔸	65536	22352	3	{n=0, v=0}
-139874	后爹	65536	21518	3	{n=0}
-139875	火车皮	65536	200149	3	{n=0}
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-139877	社会分工	65536	152082	3	{l=0}
-139878	社会制度	65536	152130	3	{l=8}
-139879	失却	65536	22833	3	{v=1}
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-139881	显然	65536	26174	3	{a=16, ad=20}
-139882	反胃	65536	21453	3	{v=0}
-139883	港口税	65536	147652	3	{n=0}
-139884	社会存在	110598	154468	2	{l=1}
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-139887	社会存在物	65536	139884	3	{n=1}
-139888	感光	92814	24863	2	{vn=0}
-139889	登记处	65536	167601	3	{n=0}
-139890	南达	65564	21335	1	null
-139891	撤资	65536	25764	3	{v=0}
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-139893	牢房	65536	29282	3	{n=1}
-139894	社会学家	65536	154482	3	{n=3}
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-139897	朱砂	65536	26417	3	{n=0}
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-139899	社会心理	116502	155599	1	null
-139900	社会心理学	65536	139899	3	{n=1}
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-139902	师生	87254	24072	2	{n=21}
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-139904	施放	65536	26045	3	{v=2, vn=0}
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-139906	发簪	65536	21457	3	{n=0}
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-139920	漫天	96609	28459	2	{z=7}
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-139922	混世	90813	28151	1	null
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-139929	扫黄	93824	25195	2	{v=6, vn=4}
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-139950	失去	65536	22833	3	{v=49, vn=0}
-139951	社情民意	65536	139949	3	{l=1}
-139952	各门	65536	21508	3	{r=2}
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-140017	祝酒歌	65536	154797	3	{n=0}
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-140034	神妙莫	112056	197022	1	null
-140035	神妙莫测	65536	140034	3	{i=0}
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-140039	混事	65536	28151	3	{v=0}
-140040	百里洲	99241	199077	2	{ns=0}
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-140045	增补	71468	22686	2	{v=6, vn=1}
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-140050	润色	65536	28070	3	{v=1, vn=0}
-140051	漩起	65536	28457	3	{v=1}
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-140053	昌黎	99351	26124	1	null
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-140055	神学目的	104290	149521	1	null
-140056	硅单	113165	30789	1	null
-140057	由头	65536	30001	3	{n=0}
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-140071	神户市	65536	199228	3	{ns=0}
-140072	神投手	65536	199322	3	{n=0}
-140073	神机妙	108435	200511	1	null
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-140078	神枪手	65536	200623	3	{n=1}
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-140081	灾民	65536	28798	3	{n=137}
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-140085	神气活现	65536	140084	3	{i=1}
-140086	神清气	110842	202250	1	null
-140087	神清气爽	65536	140086	3	{i=1}
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-140089	暖煦	92598	26262	1	null
-140090	段落	65536	27573	3	{n=1}
-140091	电话局	65536	204834	3	{n=12}
-140092	现代感	65536	173970	3	{n=0}
-140093	神田区	65536	204085	3	{ns=0}
-140094	神学创	120048	197483	1	null
-140095	殊荣	65536	27530	3	{n=12}
-140096	地峡	65536	22320	3	{n=0}
-140097	神秘兮兮	65536	140101	3	{z=1}
-140098	神秘莫测	65536	152962	3	{l=0}
-140099	神经中枢	65536	147566	3	{l=1}
-140100	神经末梢	65536	153964	3	{l=0}
-140101	神秘兮	119251	205277	1	null
-140102	神经系统	65536	159548	3	{l=1}
-140103	神经纤维	65536	159973	3	{l=0}
-140104	服务处	65536	133989	3	{n=1}
-140105	神经细胞	65536	160007	3	{l=0}
-140106	攀越	65536	25856	3	{v=0}
-140107	真分数	65536	187571	3	{n=0}
-140108	底粪	65536	24213	3	{n=0}
-140109	神经衰弱	65536	162481	3	{l=2}
-140110	神经过敏	65536	164360	3	{l=0}
-140111	浩浩	96195	28009	1	null
-140112	神经错乱	65536	165722	3	{l=0}
-140113	神职人	118528	206929	1	null
-140114	布基	76263	24067	1	null
-140115	北钢	65536	21271	3	{n=2, nz=0}
-140116	破烂儿	65536	192315	3	{n=0}
-140117	甩掉	65536	29993	3	{v=2}
-140118	沸腾	65536	27832	3	{v=9, vn=0}
-140119	感到	65536	24863	3	{v=171}
-140120	神职人员	65536	140113	3	{l=0}
-140121	浴盆	65536	28020	3	{n=0}
-140122	南邦	66774	21335	1	null
-140123	洗发精	65536	157302	3	{n=0}
-140124	汀线	65536	27712	3	{n=0}
-140125	溴化钾	65536	131329	3	{n=0}
-140126	团部	65536	22242	3	{n=1}
-140127	敲骨	97048	25970	1	null
-140128	故去	65536	25925	3	{v=0}
-140129	原野	65536	21407	3	{n=5}
-140130	女儿	78965	22899	2	{n=80}
-140131	神色自	106623	207479	1	null
-140132	神色自若	65536	140131	3	{i=0}
-140133	神通广	117314	210975	1	null
-140134	状态栏	65536	137964	3	{n=0}
-140135	溃灭	65536	28291	3	{v=0}
-140136	皮夹子	65536	183396	3	{n=0}
-140137	神通广大	65536	140133	3	{i=1}
-140138	张皇	87802	24352	1	null
-140139	神道碑	65536	211032	3	{n=0}
-140140	土枪	65536	22303	3	{n=0}
-140141	神采奕	117273	211404	1	null
-140142	神采奕奕	65536	140141	3	{i=0}
-140143	濒海	65536	28626	3	{b=0}
-140144	故友	65536	25925	3	{n=0}
-140145	烘制	65536	28888	3	{v=0}
-140146	声称	65536	22768	3	{v=21}
-140147	烈属	65536	28872	3	{n=5}
-140148	神采飞扬	65536	156406	3	{i=1}
-140149	百年大	101555	185933	1	null
-140150	神魂颠	119654	213831	1	null
-140151	性能	65536	24615	3	{n=16}
-140152	神魂颠倒	65536	140150	3	{i=0}
-140153	枯枝	65536	26543	3	{n=2}
-140154	夏耘	65536	22799	3	{n=0}
-140155	票价表	65536	150812	3	{n=1}
-140156	按键	65536	25353	3	{n=2}
-140157	祠堂	65536	31072	3	{n=0}
-140158	祥和	65536	31077	3	{a=39, an=2}
-140159	失和	65536	22833	3	{v=0}
-140160	票友会	65536	152048	3	{n=1}
-140161	桑塔	92374	26705	1	null
-140162	影音	65536	24433	3	{n=1}
-140163	票房价	119624	155748	1	null
-140164	票房价值	65536	140163	3	{n=1}
-140165	票面值	65536	169351	3	{n=0}
-140166	祭扫者	65536	150877	3	{n=1}
-140167	票贩儿	65536	166734	3	{n=0}
-140168	祸不单	105278	149312	1	null
-140169	湿润	65536	28287	3	{a=4, v=5}
-140170	祸不单行	65536	140168	3	{i=1}
-140171	祷告	65536	31095	3	{v=0, vn=0}
-140172	学人	65536	23398	3	{n=7}
-140173	市情	65536	24066	3	{n=0}
-140174	祸从口出	65536	140177	3	{i=0}
-140175	女公	77891	22899	1	null
-140176	德才	90751	24503	1	null
-140177	祸从口	119188	149505	1	null
-140178	祸从天降	65536	141527	3	{i=0}
-140179	救世	98216	25937	1	null
-140180	百家姓	65536	185231	3	{n=0}
-140181	溴化银	65536	131329	3	{n=0}
-140182	祸国殃	112520	151600	1	null
-140183	特赦权	65536	193449	3	{n=0}
-140184	女兵	65536	22899	3	{n=0}
-140185	祸国殃民	65536	140182	3	{i=0}
-140186	祸起萧	117506	165546	1	null
-140187	祸起萧墙	65536	140186	3	{i=1}
-140188	南部	65536	21335	3	{f=72}
-140189	疲倦	65536	30130	3	{a=1, an=1}
-140190	弹涂	70671	24377	1	null
-140191	片甲不留	65536	133531	3	{i=0}
-140192	泡蘑	95054	27873	1	null
-140193	溴化锂	65536	131329	3	{n=0}
-140194	畅想	109891	30021	2	{v=0, vn=1}
-140195	出项	65536	20986	3	{n=0}
-140196	用户数	65536	186950	3	{n=2}
-140197	禁不住	65536	174746	3	{v=7}
-140198	禁制品	65536	175811	3	{n=0}
-140199	禁吸戒	112598	176325	1	null
-140200	禁吸戒毒	65536	140199	3	{j=5}
-140201	禁得起	65536	179236	3	{v=0}
-140202	名流	65536	21517	3	{n=4}
-140203	禁忌症	65536	179289	3	{n=0}
-140204	禁核试	65536	181445	3	{j=0}
-140205	禁欲主	120166	182207	1	null
-140206	湿淋	103104	28287	1	null
-140207	禁欲主义	65536	140205	3	{n=0}
-140208	由始	102564	30001	1	null
-140209	禁毒委	65536	182367	3	{j=0}
-140210	禁渔期	65536	182945	3	{n=1}
-140211	单身	65542	21333	2	{n=3}
-140212	牵就	65536	29301	3	{v=0}
-140213	禁赛期	65536	190952	3	{n=1}
-140214	禁运品	65536	191581	3	{n=0}
-140215	学以	70277	23398	1	null
-140216	禁闭室	65536	193146	3	{n=0}
-140217	台账	65536	21488	3	{n=2}
-140218	摆手	65536	25670	3	{v=4}
-140219	禁食疗	112360	193900	1	null
-140220	溃烂	65536	28291	3	{v=0}
-140221	禁食疗法	65536	140219	3	{n=0}
-140222	双蹦	65555	21452	1	null
-140223	福井县	65536	170278	3	{ns=0}
-140224	福塔莱	106395	172773	1	null
-140225	禄丰	65536	31108	3	{ns=1}
-140226	出题	65536	20986	3	{v=1}
-140227	福塔莱萨	65536	140224	3	{ns=0}
-140228	烦扰	65536	28902	3	{v=0, vn=1}
-140229	福如东	112212	173075	1	null
-140230	疾恶	113629	30142	1	null
-140231	柿饼	65536	26623	3	{n=0}
-140232	珙桐	65536	29657	3	{n=0}
-140233	盟友	65536	30431	3	{n=5}
-140234	督办	65536	30563	3	{n=0, v=4, vn=0}
-140235	福如东海	65536	140229	3	{i=1}
-140236	熊派	65536	29066	3	{n=3}
-140237	福安市	65536	173594	3	{ns=0}
-140238	机电部	65536	176270	3	{nt=0}
-140239	感动	65536	24863	3	{a=3, an=0, v=45, vn=6}
-140240	悬索	65536	24748	3	{n=0}
-140241	张目	65536	24352	3	{v=0}
-140242	福寿仙	65536	173712	3	{nz=15}
-140243	福尔马	113727	173733	1	null
-140244	分针	65536	20998	3	{n=0}
-140245	染病	65536	26579	3	{v=0}
-140246	福尔马林	65536	140243	3	{n=0}
-140247	台资	65536	21488	3	{n=0}
-140248	福建省	65536	174475	3	{ns=35}
-140249	殡葬	65536	27553	3	{v=1, vn=2}
-140250	福州市	65536	174191	3	{ns=13}
-140251	福星高	111222	176304	1	null
-140252	电视台	65536	204299	3	{n=137}
-140253	福星高照	65536	140251	3	{l=0}
-140254	存项	65536	23384	3	{n=0}
-140255	滴定	99995	28404	1	null
-140256	福清市	65536	178326	3	{ns=0}
-140257	欠税	65536	27424	3	{n=2, vn=0}
-140258	浩淼	65536	28009	3	{a=0}
-140259	漠漠	65536	28448	3	{z=0}
-140260	福至心	111472	183428	1	null
-140261	福至心灵	65536	140260	3	{i=0}
-140262	步枪	65536	27493	3	{n=1}
-140263	福音书	65536	189060	3	{n=0}
-140264	未成	98805	26410	1	null
-140265	桂圆	91846	26690	2	{n=0}
-140266	福鼎市	65536	190879	3	{ns=0}
-140267	分钟	65673	20998	2	{n=0, q=84}
-140268	学会	65536	23398	3	{n=43, v=35}
-140269	枯树	65536	26543	3	{n=0}
-140270	禹州	116205	31161	2	{ns=1}
-140271	禹州市	65536	140270	3	{ns=1}
-140272	建堤	65536	24314	3	{v=1}
-140273	离不开	65536	182429	3	{v=1}
-140274	离业补	119674	182442	1	null
-140275	疾患	65536	30142	3	{n=0}
-140276	性腺	65536	24615	3	{n=0}
-140277	特困村	65536	179507	3	{n=8}
-140278	毫毛	65536	27627	3	{n=0}
-140279	狠毒	65536	29408	3	{an=1}
-140280	出风	65731	20986	1	null
-140281	离业补偿	104131	140274	1	null
-140282	如故	65536	22914	3	{v=1}
-140283	神圣同	109599	196392	1	null
-140284	离业补偿费	65536	140281	3	{n=1}
-140285	离乡背	120171	182513	1	null
-140286	百花奖	65536	195210	3	{n=0, nz=1}
-140287	特许者	65536	193019	3	{n=2}
-140288	离乡背井	65536	140285	3	{i=1}
-140289	熘鱼	103901	29080	1	null
-140290	猜拳	65536	29468	3	{v=0}
-140291	离休金	65536	182689	3	{n=0}
-140292	毕节	65536	27605	3	{ns=0}
-140293	离到任	65536	183488	3	{j=2}
-140294	离合悲欢	65536	142929	3	{l=1}
-140295	离合器	65536	183960	3	{n=0}
-140296	离婚证	65536	185578	3	{n=0}
-140297	微升	65536	24494	3	{v=1}
-140298	离心离德	65536	150343	3	{i=0}
-140299	离愁别	107811	187281	1	null
-140300	德拉	81698	24503	1	null
-140301	离愁别绪	65536	140299	3	{l=1}
-140302	祠墓	65536	31072	3	{n=0}
-140303	研制	65536	30740	3	{v=83, vn=16}
-140304	离散性	65536	188403	3	{n=0}
-140305	珠光灯	65536	137882	3	{n=0}
-140306	碎块	65536	30862	3	{n=1}
-140307	晚上	65536	26202	3	{t=102}
-140308	福利制	65536	171194	3	{n=1}
-140309	离瓣花	119415	192371	1	null
-140310	旋风	84717	26059	2	{n=5}
-140311	离瓣花冠	65536	140309	3	{l=0}
-140312	离石市	65536	193155	3	{ns=1}
-140313	离离拉	115033	193611	1	null
-140314	左端	65536	24038	3	{f=0}
-140315	焰火	65536	28976	3	{n=3}
-140316	微博	65536	24494	3	{n=500}
-140317	法兰绒	65536	176044	3	{n=0}
-140318	救亡	95978	25937	2	{v=0, vn=0}
-140319	学位	82403	23398	2	{n=24}
-140320	浩渺	65536	28009	3	{a=2}
-140321	戏衣	65536	25103	3	{n=0}
-140322	离离拉拉	65536	140313	3	{z=0}
-140323	橡皮膏	65536	132644	3	{n=0}
-140324	惨遭	65536	24808	3	{v=1}
-140325	如数	78549	22914	2	{d=2}
-140326	图钉	65536	22270	3	{n=0}
-140327	离心力	65536	186963	3	{n=1}
-140328	离经叛	103382	194911	1	null
-140329	离经叛道	65536	140328	3	{i=0}
-140330	离群索	116710	195124	1	null
-140331	离群索居	65536	140330	3	{i=0}
-140332	现代戏	65536	173970	3	{n=4}
-140333	离谱儿	65536	198337	3	{a=0}
-140334	离退休	103006	199312	2	{v=4, vn=25}
-140335	离退休金	65536	140334	3	{j=0, n=3}
-140336	离间计	65536	200836	3	{n=1}
-140337	权欲	94311	26435	1	null
-140338	禽流感	65536	147450	3	{n=18}
-140339	禾木旁	65536	144738	3	{n=0}
-140340	最高院	65536	151907	3	{j=0}
-140341	禾本科	65536	144742	3	{n=0}
-140342	禽兽	65536	31165	3	{n=1}
-140343	救人	85484	25937	2	{v=10, vn=1}
-140344	少者	65536	23569	3	{n=1}
-140345	秀屿镇	65536	146020	3	{ns=0}
-140346	常务	85951	24120	2	{b=53}
-140347	秀才人	115583	147506	1	null
-140348	富豪	65536	23500	3	{n=0, nz=0}
-140349	感化	75231	24863	2	{v=1, vn=0}
-140350	模子	65536	27169	3	{n=1}
-140351	旅游者	65536	146162	3	{n=11}
-140352	复活	65601	22797	2	{v=1, vn=0}
-140353	电路板	65536	205364	3	{n=1}
-140354	团里	65536	22242	3	{n=5}
-140355	禾嘉	65536	31166	3	{nz=0}
-140356	秀才人情	65536	140347	3	{i=0}
-140357	秀水坪	113910	150041	1	null
-140358	应对	65536	24212	3	{v=4, vn=1}
-140359	秀水坪村	65536	140357	3	{ns=2}
-140360	秀里秀	112693	159665	1	null
-140361	秀里秀气	65536	140360	3	{z=0}
-140362	私人占	113988	186719	1	null
-140363	污痕	65536	27745	3	{n=0}
-140364	分销	65536	20998	3	{n=1, v=0, vn=2}
-140365	私人占有	119324	140362	1	null
-140366	官园	65536	23448	3	{ns=0}
-140367	禀告	65536	31104	3	{v=0}
-140368	消费类	65536	188948	3	{n=2}
-140369	护心	77234	25252	1	null
-140370	私人占有制	65536	140365	3	{n=1}
-140371	私心杂	115807	191080	1	null
-140372	私心杂念	65536	140371	3	{l=0}
-140373	受骗	65536	21463	3	{v=5}
-140374	盟员	65536	30431	3	{n=0}
-140375	私有制	65536	192942	3	{n=15}
-140376	私相授	118917	197021	1	null
-140377	密码	85690	23494	2	{n=6}
-140378	私房话	65536	191716	3	{n=0}
-140379	私生子	65536	196548	3	{n=0}
-140380	私相授受	65536	140376	3	{i=0}
-140381	秃光光	65536	140406	3	{z=0}
-140382	秆子	65536	31174	3	{n=0}
-140383	秉公执	112523	140830	1	null
-140384	秉公执法	65536	140383	3	{i=0}
-140385	地市	66254	22320	2	{n=0}
-140386	秉性难	109162	144601	1	null
-140387	喜讯	65536	21916	3	{n=23}
-140388	智牙	65536	26234	3	{n=0}
-140389	秉性难移	65536	140386	3	{i=0}
-140390	秉烛夜	104558	148877	1	null
-140391	炎炎	65536	28814	3	{z=1}
-140392	暮霭	65536	26286	3	{n=1}
-140393	秉烛夜读	65536	140390	3	{i=0}
-140394	展馆	65536	23637	3	{j=0, n=0}
-140395	春风顺	96379	180213	1	null
-140396	机械运	102091	173065	1	null
-140397	秉笔直	120329	151494	1	null
-140398	单车	65536	21333	3	{n=0}
-140399	秉笔直书	65536	140397	3	{i=1}
-140400	单轨	65540	21333	2	{b=0}
-140401	畜牧师	65536	145486	3	{n=0}
-140402	煞气	65536	29022	3	{n=0, v=0}
-140403	施朱	99033	26045	1	null
-140404	秋分点	65536	170511	3	{n=0}
-140405	秋后算	104277	171031	1	null
-140406	秃光	119572	31171	1	null
-140407	得宠	65536	24471	3	{v=0}
-140408	秋冬季	65536	170421	3	{t=1}
-140409	托福	65536	25176	3	{nz=0, v=0}
-140410	淫猥	65536	28139	3	{a=0}
-140411	秋后算账	65536	140405	3	{i=1}
-140412	秋庄稼	65536	173709	3	{n=1}
-140413	炭火	65536	28845	3	{n=0}
-140414	秋收起	120374	175423	1	null
-140415	秋收起义	65536	140414	3	{l=0, nz=1}
-140416	南里	65536	21335	3	{ns=0}
-140417	版刻	65536	29256	3	{n=0}
-140418	台路	65547	21488	1	null
-140419	戏装	65536	25103	3	{n=0}
-140420	秋月当	109068	175889	1	null
-140421	地带	65536	22320	3	{n=12}
-140422	秋月当空	65536	140420	3	{l=0}
-140423	秋毫之	114013	177140	1	null
-140424	秋毫之末	65536	140423	3	{l=0}
-140425	由此可见	65536	135895	3	{c=6, l=2}
-140426	秋毫无犯	65536	146460	3	{i=0}
-140427	秋海棠	65536	177536	3	{n=0}
-140428	布头	65536	24067	3	{n=2}
-140429	秋田县	65536	179513	3	{ns=0}
-140430	热泪盈	102350	189943	1	null
-140431	土棍	65536	22303	3	{n=0}
-140432	秋老虎	65536	182282	3	{n=0}
-140433	秋风过	107615	188631	1	null
-140434	秋风过耳	65536	140433	3	{i=0}
-140435	秋高气	111196	189153	1	null
-140436	外专	75485	22806	1	null
-140437	琼斯	114927	29756	1	null
-140438	服毒	65536	26381	3	{v=0}
-140439	应届	65536	24212	3	{b=5}
-140440	晋园	94838	26187	2	{nz=0}
-140441	秋高气爽	65536	140435	3	{i=0}
-140442	如日	82016	22914	1	null
-140443	官场	65536	23448	3	{n=1}
-140444	种子公司	65536	140448	3	{n=5}
-140445	睫状	118384	30571	1	null
-140446	种养业	65536	172849	3	{j=0, n=2}
-140447	套问	65536	22871	3	{v=0}
-140448	种子公	118948	175366	1	null
-140449	珠子	65536	29664	3	{n=0}
-140450	爹爹	65536	29241	3	{n=0}
-140451	种子选手	65536	156477	3	{n=5}
-140452	烫洗	108565	28907	1	null
-140453	套间	65536	22871	3	{n=2}
-140454	瘦削	65536	30246	3	{a=1}
-140455	有机质	65536	181212	3	{n=0}
-140456	晋国	65536	26187	3	{ns=0}
-140457	湛江舰	65536	131199	3	{n=0}
-140458	种族主	120418	178053	1	null
-140459	种族主义	65536	140458	3	{n=1}
-140460	种族歧视	65536	147926	3	{l=2}
-140461	种植业	65536	178883	3	{n=7}
-140462	种植园主	65536	142720	3	{n=1}
-140463	种牛痘	65536	181265	3	{v=0}
-140464	瓜子	115150	29916	2	{n=1}
-140465	种畜场	65536	182034	3	{n=2}
-140466	科伦坡	65536	183560	3	{ns=2}
-140467	地幔	65536	22320	3	{n=0}
-140468	科头跣	104194	186134	1	null
-140469	科头跣足	65536	140468	3	{i=0}
-140470	知识型	65536	178036	3	{b=1}
-140471	癸丑	65536	30328	3	{m=0}
-140472	科利华	65536	184331	3	{nz=0}
-140473	科威特	118207	186339	2	{ns=14}
-140474	圆雕	65536	22278	3	{n=0}
-140475	焕然	112983	28949	1	null
-140476	科威特国	65536	140473	3	{ns=0}
-140477	科学技术	65536	145288	3	{n=65}
-140478	科工委	65536	187335	3	{j=8}
-140479	科尔沁	65536	186870	3	{ns=0}
-140480	双轨	65536	21452	3	{b=0}
-140481	单边	65536	21333	3	{b=0, d=1}
-140482	废矿	65536	24223	3	{n=0}
-140483	科恰班	116432	187986	1	null
-140484	科恰班巴	110020	140483	1	null
-140485	科恰班巴省	65536	140484	3	{ns=0}
-140486	炎热	65536	28814	3	{a=2, an=0}
-140487	浪涛	65536	28010	3	{n=0}
-140488	科托努	65536	188474	3	{ns=2}
-140489	斗心	88416	26007	1	null
-140490	科技兴农	65536	142323	3	{l=2}
-140491	科技教育	110464	147416	1	null
-140492	科技教育界	65536	140491	3	{n=1}
-140493	橡皮船	65536	132644	3	{n=0}
-140494	灯笼裤	65536	181615	3	{n=0}
-140495	得寸	74522	24471	1	null
-140496	挑灯	93654	25361	1	null
-140497	秉借	65536	31177	3	{v=1}
-140498	地平	66231	22320	1	null
-140499	百折不挠	65536	137359	3	{i=2}
-140500	梯队	65536	26799	3	{n=1}
-140501	科摩罗	65536	189003	3	{ns=1}
-140502	村支部	65536	165122	3	{n=2}
-140503	科教兴	119629	189243	1	null
-140504	服气	65536	26381	3	{v=1}
-140505	狸猫	65536	29432	3	{n=1}
-140506	如春	65536	22914	3	{v=1}
-140507	橡皮艇	65536	132644	3	{n=0}
-140508	略有所	97950	156597	1	null
-140509	斗志	92828	26007	2	{n=4}
-140510	地广	76830	22320	1	null
-140511	科教文卫	120205	145642	2	{j=4}
-140512	科教文卫体	65536	140511	3	{j=0}
-140513	口陈	65617	21475	1	null
-140514	外乡	78949	22806	2	{n=0}
-140515	显现	65536	26174	3	{v=8, vn=0}
-140516	如是	66203	22914	1	null
-140517	科普特	120369	189520	1	null
-140518	就诊	65536	23601	3	{v=4, vn=0}
-140519	瞒哄	65536	30610	3	{v=0}
-140520	涮锅	106900	28078	1	null
-140521	科教兴农	65536	140503	3	{l=5}
-140522	炒家	65536	28818	3	{n=3}
-140523	科普特人	65536	140517	3	{nz=0}
-140524	湿漉	102793	28287	1	null
-140525	科沙拉	114079	191099	1	null
-140526	珠宝	113174	29664	2	{n=3}
-140527	畅所	108805	30021	1	null
-140528	科沙拉村	65536	140525	3	{ns=0}
-140529	盗窃犯	65536	157664	3	{n=0}
-140530	泄殖	95517	27844	1	null
-140531	地应	75869	22320	1	null
-140532	昏眩	65536	26127	3	{v=0}
-140533	商船	65536	21830	3	{n=4}
-140534	科特迪	110610	192603	1	null
-140535	白费心	112542	209447	1	null
-140536	科特迪瓦	65536	140534	3	{ns=4}
-140537	实业	82027	23454	2	{n=22}
-140538	发红	65536	21457	3	{v=0}
-140539	科班出	104017	192975	1	null
-140540	科班出身	65536	140539	3	{l=0}
-140541	白不拉	115920	193275	1	null
-140542	感受	92588	24863	2	{n=0, v=50, vn=24}
-140543	科研型	65536	194038	3	{n=1}
-140544	科索沃	119698	195332	2	{ns=2}
-140545	折中	65536	25240	3	{v=0, vn=0}
-140546	科索沃共和	118280	140547	1	null
-140547	科索沃共	118902	140544	1	null
-140548	浪淘	102047	28010	1	null
-140549	科索沃共和国	65536	140546	3	{ns=0}
-140550	斜眼	65536	26012	3	{n=0}
-140551	富贵	78184	23500	2	{a=1, nr=0, nz=0}
-140552	科纳克	103229	195733	1	null
-140553	科纳克里	65536	140552	3	{ns=3}
-140554	栽赃	65536	26685	3	{vn=0}
-140555	水晶节	65536	187186	3	{t=1}
-140556	外事	65536	22806	3	{n=8}
-140557	发纵	67158	21457	1	null
-140558	科罗拉多	112732	142281	2	{ns=0}
-140559	科罗拉多河	65536	140558	3	{ns=0}
-140560	科考队	65536	196069	3	{j=0}
-140561	双边	65536	21452	3	{b=2, n=66}
-140562	科西嘉	65536	198497	3	{ns=0}
-140563	感召	92596	24863	2	{v=1, vn=1}
-140564	科罗尔	65536	195897	3	{n=0}
-140565	科迪亚	119755	200140	1	null
-140566	科迪亚克	65536	140565	3	{n=0}
-140567	就读	65536	23601	3	{v=5, vn=0}
-140568	秒表	65536	31186	3	{n=1}
-140569	实为	65536	23454	3	{v=0}
-140570	秘书处	65536	146624	3	{n=9}
-140571	秕子	65536	31189	3	{n=0}
-140572	洛溪	65536	27931	3	{ns=0}
-140573	火车票	65536	200149	3	{n=2}
-140574	国政	65536	22269	3	{n=0}
-140575	回生	65536	22238	3	{v=0}
-140576	感叹	92276	24863	2	{v=13, vn=3}
-140577	秘而不	117119	159334	1	null
-140578	秘而不宣	65536	140577	3	{i=0}
-140579	晚会	82261	26202	2	{n=225}
-140580	国故	65536	22269	3	{n=0}
-140581	外交	76901	22806	2	{j=0, n=182, vn=2}
-140582	北陵	65536	21271	3	{ns=0}
-140583	秘鲁共	118941	166619	1	null
-140584	生存率	65536	191857	3	{n=0}
-140585	秘鲁共和	118317	140583	1	null
-140586	秘鲁共和国	65536	140585	3	{ns=0}
-140587	思科	65536	24605	3	{nz=2}
-140588	昏睡	65536	26127	3	{vn=0}
-140589	昼马	65536	26172	3	{nr=0}
-140590	滤色镜	65536	142932	3	{n=0}
-140591	撤退	65536	25764	3	{v=1}
-140592	租借地	65536	145962	3	{n=1}
-140593	发给	65536	21457	3	{v=17}
-140594	爆破组	65536	143902	3	{n=0}
-140595	感同	77215	24863	1	null
-140596	分门	67178	20998	1	null
-140597	回电	65536	22238	3	{n=0, v=0}
-140598	炊事班	65536	132528	3	{n=1}
-140599	私有化	65536	192942	3	{v=2, vn=3}
-140600	国教	65536	22269	3	{n=0}
-140601	租用者	65536	155443	3	{n=1}
-140602	合营	65536	21512	3	{v=1, vn=6}
-140603	外人	65536	22806	3	{n=1}
-140604	租赁制	65536	161612	3	{n=0}
-140605	秣马	119221	31203	1	null
-140606	秣马厉	119758	140605	1	null
-140607	实习	79109	23454	2	{v=2, vn=2}
-140608	斑马	86484	26001	2	{n=2}
-140609	各项	65536	21508	3	{r=222}
-140610	柴达	97901	26612	1	null
-140611	秣马厉兵	65536	140606	3	{i=0}
-140612	秤盘子	65536	146029	3	{n=0}
-140613	秦俑学	65536	150470	3	{n=2}
-140614	注意者	65536	145519	3	{n=1}
-140615	斑驳	80463	26001	2	{z=4}
-140616	后生	72454	21518	2	{n=2}
-140617	礼拜一	65536	165576	3	{t=0}
-140618	名满	70939	21517	1	null
-140619	癸亥	65536	30328	3	{m=0}
-140620	熙熙	107293	29081	1	null
-140621	拔锚	65536	25300	3	{v=0}
-140622	按需	95441	25353	1	null
-140623	秦始皇	102110	153024	2	{nr=5}
-140624	相辅而	103404	208509	1	null
-140625	废碎	83876	24223	1	null
-140626	礼拜三	65536	165576	3	{t=0}
-140627	秦始皇陵	65536	140623	3	{ns=0}
-140628	监督岗	65536	166431	3	{n=0}
-140629	夏至	70265	22799	2	{t=0}
-140630	秦楼楚	101330	157041	1	null
-140631	发绿	65536	21457	3	{v=0}
-140632	秦楼楚馆	65536	140630	3	{i=0}
-140633	检点	65536	26816	3	{a=0, v=0}
-140634	玄参	65536	29572	3	{n=0}
-140635	秦淮河	65536	158179	3	{ns=1}
-140636	澡票	65536	28577	3	{n=0}
-140637	秦皇岛	116572	160380	2	{ns=8}
-140638	秦皇岛市	65536	140637	3	{ns=2}
-140639	秦腔戏	65536	163145	3	{n=1}
-140640	秦都区	65536	167154	3	{ns=3}
-140641	底线	65536	24213	3	{n=1}
-140642	碘化	101511	30872	1	null
-140643	秦镜高	115896	168273	1	null
-140644	秦镜高悬	65536	140643	3	{i=0}
-140645	夜航	65536	22812	3	{n=1}
-140646	国文	65536	22269	3	{n=0}
-140647	磨砂玻	109978	188010	1	null
-140648	底细	65536	24213	3	{n=1}
-140649	秩序	120538	31209	2	{n=109}
-140650	实事	77795	23454	2	{n=71}
-140651	分队	65559	20998	2	{n=4}
-140652	合著	65536	21512	3	{v=1, vn=0}
-140653	市报	65536	24066	3	{n=0}
-140654	秧歌剧	65536	144791	3	{n=0}
-140655	秩序井	111678	140649	1	null
-140656	泄气	92824	27844	2	{v=2, vn=1}
-140657	烂泥	65536	28866	3	{n=0}
-140658	头油	65536	22836	3	{n=1}
-140659	焚毁	65536	28954	3	{v=1}
-140660	秩序井然	65536	140655	3	{i=3}
-140661	秭归	65536	31213	3	{ns=0}
-140662	横断面	65536	174923	3	{n=0}
-140663	积不相	107659	180995	1	null
-140664	女单	65536	22899	3	{j=5}
-140665	晋城	97253	26187	2	{ns=5}
-140666	归拢	65536	24402	3	{v=0}
-140667	多一	79139	22810	1	null
-140668	油茶面	65536	192174	3	{n=0}
-140669	名演	72178	21517	1	null
-140670	秫秸	65536	31211	3	{n=0}
-140671	异己	65536	24322	3	{n=0}
-140672	分阴	65536	20998	3	{n=0}
-140673	合葬	65536	21512	3	{v=0, vn=0}
-140674	外企	65536	22806	3	{j=4}
-140675	拆穿	65536	25286	3	{v=0}
-140676	惨重	65536	24808	3	{a=10}
-140677	富足	65536	23500	3	{a=2, an=1}
-140678	恶少	65536	24694	3	{n=0}
-140679	热水瓶	65536	189761	3	{n=1}
-140680	积不相能	65536	140663	3	{i=0}
-140681	碾坊	65536	30910	3	{n=0}
-140682	积劳成	110547	182185	1	null
-140683	朱笔	65536	26417	3	{n=0}
-140684	积分器	65536	182012	3	{n=0}
-140685	科威特城	65536	140473	3	{ns=0}
-140686	同窗	65536	21516	3	{n=1, v=0}
-140687	知人善	118618	162408	1	null
-140688	泄水	91688	27844	1	null
-140689	积劳成疾	65536	140682	3	{i=0}
-140690	插曲	65536	25554	3	{n=1}
-140691	城镇	65536	22478	3	{n=78, ns=0}
-140692	积少成	117883	184583	1	null
-140693	积少成多	65536	140692	3	{i=0}
-140694	出马	65536	20986	3	{v=5}
-140695	建始	88645	24314	2	{ns=0}
-140696	积年累	114321	185194	1	null
-140697	积年累月	65536	140696	3	{i=0}
-140698	积弱积	104561	185383	1	null
-140699	秧子	65536	31207	3	{n=0}
-140700	积弱积贫	65536	140698	3	{l=1}
-140701	枯槁	65536	26543	3	{a=1}
-140702	寒峭	65536	23506	3	{a=1}
-140703	积极分子	65536	140715	3	{l=6}
-140704	建委	65536	24314	3	{j=5}
-140705	外传	65536	22806	3	{v=0, vn=1}
-140706	巨臂	65536	24040	3	{n=1}
-140707	市招	65536	24066	3	{n=0}
-140708	国旅	65536	22269	3	{j=1}
-140709	外伤	75712	22806	2	{n=0}
-140710	栽跟	101892	26685	1	null
-140711	研究员	65536	150607	3	{n=26}
-140712	毡衬	65536	27617	3	{n=0}
-140713	发网	65536	21457	3	{n=0}
-140714	研发	65536	30740	3	{j=0}
-140715	积极分	117327	187511	1	null
-140716	燃料箱	65536	133904	3	{n=0}
-140717	夜色	65536	22812	3	{n=8}
-140718	分院	65536	20998	3	{n=4}
-140719	积极向上	65536	141238	3	{l=4}
-140720	子畜	65536	23376	3	{n=0}
-140721	积毁销	101130	188599	1	null
-140722	积毁销骨	65536	140721	3	{i=0}
-140723	积水潭	65536	188714	3	{ns=1}
-140724	积石山	65536	191721	3	{ns=0}
-140725	摆摆	65536	25670	3	{v=1}
-140726	国旗	66736	22269	2	{n=31}
-140727	积羽沉	107419	193715	1	null
-140728	女厕	65536	22899	3	{n=0}
-140729	摆摊	96633	25670	2	{v=2, vn=0}
-140730	积羽沉舟	65536	140727	3	{i=0}
-140731	烈度	65536	28872	3	{n=0}
-140732	积谷防	101464	196909	1	null
-140733	积谷防饥	65536	140732	3	{i=0}
-140734	戏言	65536	25103	3	{n=0, v=0}
-140735	国无	72989	22269	1	null
-140736	多久	65536	22810	3	{a=0, r=9}
-140737	地形	76434	22320	2	{n=5}
-140738	形相	65536	24418	3	{n=0}
-140739	多么	65536	22810	3	{a=0, d=27, r=0}
-140740	多义	75917	22810	1	null
-140741	积重难	103923	198339	1	null
-140742	异常	65536	24322	3	{a=9, an=1, b=0, d=8}
-140743	积重难返	65536	140741	3	{i=1}
-140744	疥虫	65536	30117	3	{n=0}
-140745	积铢累	117202	199128	1	null
-140746	积铢累寸	65536	140745	3	{i=0}
-140747	折价	65536	25240	3	{v=1, vd=0, vn=0}
-140748	泳联	65536	27891	3	{j=16}
-140749	积雨云	65536	199646	3	{n=0}
-140750	称之为	65536	159849	3	{v=16}
-140751	瓮中捉	95231	135395	1	null
-140752	矮凳	65536	30702	3	{n=0}
-140753	夏良	65536	22799	3	{nr=0}
-140754	称体裁	105840	160113	1	null
-140755	称体裁衣	65536	140754	3	{l=0}
-140756	如期	65536	22914	3	{d=20}
-140757	礼拜二	65536	165576	3	{t=0}
-140758	实价	65536	23454	3	{n=0}
-140759	海水面	65536	191018	3	{n=0}
-140760	漫山	94874	28459	1	null
-140761	称兄道	116411	160610	1	null
-140762	称兄道弟	65536	140761	3	{l=0}
-140763	电热梳	65536	197938	3	{n=0}
-140764	消防艇	65536	191245	3	{n=0}
-140765	礼拜五	65536	165576	3	{t=0}
-140766	称孤道	117246	163202	1	null
-140767	称孤道寡	65536	140766	3	{i=0}
-140768	分隔	65540	20998	2	{v=2}
-140769	混入	65536	28151	3	{v=2}
-140770	称心如	115926	164321	1	null
-140771	土模	65536	22303	3	{n=0}
-140772	称得上	65536	164277	3	{v=2}
-140773	称心如意	65536	140770	3	{i=0}
-140774	称王称	102065	169385	1	null
-140775	民主联	96561	173410	1	null
-140776	碳刷	65536	30899	3	{n=0}
-140777	称王称霸	65536	140774	3	{i=0}
-140778	搭班	94016	25645	1	null
-140779	构造	101611	26500	2	{n=3, v=3, vn=0}
-140780	移动靶	65536	146676	3	{n=0}
-140781	移山倒海	65536	140789	3	{i=0}
-140782	女友	65536	22899	3	{n=2}
-140783	女双	65536	22899	3	{j=3}
-140784	秸杆	65536	31224	3	{n=0}
-140785	房东	65536	25151	3	{n=3}
-140786	折伞	65536	25240	3	{n=0}
-140787	皂荚	65536	30338	3	{n=0}
-140788	由小	114795	30001	1	null
-140789	移山倒	112758	149181	1	null
-140790	移山填海	65536	142926	3	{i=0}
-140791	混养	65536	28151	3	{vn=0}
-140792	移花接	114389	158973	1	null
-140793	漠然	99172	28448	2	{z=0}
-140794	移民局	65536	153181	3	{n=1}
-140795	斯特	93892	26031	1	null
-140796	流行语	65536	187175	3	{n=0}
-140797	移花接木	65536	140792	3	{i=1}
-140798	枕骨	65536	26517	3	{n=0}
-140799	移风易	120363	164634	1	null
-140800	浩瀚	103755	28009	2	{a=0, z=5}
-140801	插条	65536	25554	3	{v=0}
-140802	移风易俗	65536	140799	3	{i=1}
-140803	搭理	65536	25645	3	{v=0}
-140804	稀土元	108776	152711	1	null
-140805	旱柳	65536	26097	3	{n=0}
-140806	多事	79224	22810	2	{a=0}
-140807	征收	81618	24449	2	{v=19, vn=5}
-140808	稀土元素	65536	140804	3	{l=0}
-140809	多于	65536	22810	3	{v=3}
-140810	多亏	65536	22810	3	{v=2}
-140811	稀奇古	116195	153263	1	null
-140812	多云	78235	22810	1	null
-140813	稀奇古怪	65536	140811	3	{i=1}
-140814	国是	65536	22269	3	{n=1}
-140815	北非	65536	21271	3	{j=0, n=0, ns=7}
-140816	房主	65536	25151	3	{n=3}
-140817	稀拉拉	65536	155697	3	{z=0}
-140818	涵盖	65536	28085	3	{v=5}
-140819	北面	65536	21271	3	{f=0}
-140820	稀有元	108790	156785	1	null
-140821	女史	65536	22899	3	{n=0}
-140822	稀有元素	65536	140820	3	{l=0}
-140823	散乱	65536	25955	3	{a=3}
-140824	稀有金属	65536	157346	3	{l=1, n=0}
-140825	稀溜溜	65536	158724	3	{z=0}
-140826	如来	81717	22914	2	{n=0}
-140827	稀稀拉拉	65536	140851	3	{z=2}
-140828	稀稀疏疏	65536	145657	3	{z=0}
-140829	棚菜	65536	26842	3	{n=0}
-140830	秉公	115192	31177	2	{d=2}
-140831	稀稀落落	65536	149415	3	{z=0}
-140832	稀释剂	65536	167730	3	{n=0}
-140833	百业待	116383	181747	1	null
-140834	地心	72681	22320	2	{n=1}
-140835	失地	65536	22833	3	{n=1}
-140836	秽土	65536	31229	3	{n=0}
-140837	畏强	108813	30031	1	null
-140838	汽水	65536	27773	3	{n=1}
-140839	焙烧	65536	28953	3	{v=0}
-140840	外侧	65536	22806	3	{f=4}
-140841	外侨	65536	22806	3	{n=0}
-140842	疲劳	65536	30130	3	{a=2, ad=1, an=1}
-140843	废票	65536	24223	3	{n=2}
-140844	易水	65536	26131	3	{ns=0}
-140845	稀里糊	112812	167732	1	null
-140846	稀里糊涂	65536	140845	3	{z=0}
-140847	外侮	65536	22806	3	{n=2}
-140848	程序模块	65536	147089	3	{n=0}
-140849	摆擂	95947	25670	1	null
-140850	实体	65536	23454	3	{n=22}
-140851	稀稀拉	115538	161640	1	null
-140852	城门	74787	22478	2	{n=4}
-140853	多人	76472	22810	1	null
-140854	地志	73632	22320	2	{n=0}
-140855	程思远	65536	141291	3	{nr=8}
-140856	炕柜	65536	28821	3	{n=0}
-140857	程控化	65536	142197	3	{v=0}
-140858	宽银	81754	23485	1	null
-140859	扎针	65536	25166	3	{v=0, vn=0}
-140860	套鞋	65536	22871	3	{n=0}
-140861	烈士碑	65536	139264	3	{n=0}
-140862	程海乡	65536	144709	3	{ns=2}
-140863	子痫	65536	23376	3	{n=0}
-140864	同等	70236	21516	2	{b=11, d=4}
-140865	珠峰	65536	29664	3	{j=0}
-140866	稍纵即	103975	153908	1	null
-140867	梗阻	65536	26775	3	{v=0}
-140868	稍纵即逝	65536	140866	3	{i=0}
-140869	瞎干	65536	30606	3	{v=0}
-140870	稍胜一	109263	154459	1	null
-140871	学兵	65536	23398	3	{j=0}
-140872	稍胜一筹	65536	140870	3	{i=0}
-140873	稍逊风	101297	158345	1	null
-140874	增订	71469	22686	2	{v=0}
-140875	稍逊风骚	65536	140873	3	{l=1}
-140876	如林	65536	22914	3	{v=0, z=2}
-140877	学养	65536	23398	3	{n=1}
-140878	税收收	120043	171766	1	null
-140879	税务员	65536	167009	3	{n=0}
-140880	税收收入	65536	140878	3	{n=8}
-140881	如果	65536	22914	3	{c=310, v=7}
-140882	稔熟	65536	31252	3	{a=1}
-140883	稗官野	119394	140957	1	null
-140884	稗官野史	65536	140883	3	{i=0}
-140885	稗子	65536	31255	3	{n=0}
-140886	稞麦	65536	31262	3	{n=0}
-140887	浪漫	109824	28010	2	{a=7, an=3}
-140888	征文	65536	24449	3	{n=22, v=1, vn=3}
-140889	混凝	109543	28151	1	null
-140890	授牌	65536	25480	3	{n=0, vn=1}
-140891	圆顶	65536	22278	3	{n=2}
-140892	炸毁	65536	28856	3	{v=3}
-140893	程序	119920	31243	2	{n=46, nr=0}
-140894	狐狸皮	65536	147843	3	{n=4}
-140895	睾囊	65536	30590	3	{n=0}
-140896	房事	65536	25151	3	{n=2}
-140897	稠乎乎	65536	140964	3	{z=0}
-140898	禅堂	65536	31109	3	{n=0}
-140899	图集	65536	22270	3	{n=2}
-140900	稠人广	120654	141072	1	null
-140901	稠人广众	65536	140900	3	{i=0}
-140902	增设	65536	22686	3	{v=13}
-140903	甚或	65536	29978	3	{c=0}
-140904	稳中求进	65536	142242	3	{l=20}
-140905	稳中有	119594	149997	1	null
-140906	实例	65536	23454	3	{n=4}
-140907	圆领	65583	22278	2	{n=0}
-140908	稳健派	65536	150565	3	{n=0}
-140909	稳如泰	117247	152898	1	null
-140910	欣赏	89985	27427	2	{nr=0, v=27, vn=4}
-140911	泸西	107671	27896	2	{ns=0}
-140912	稳如泰山	65536	140909	3	{i=0}
-140913	稳中有升	65536	140905	3	{l=5}
-140914	多价	65536	22810	3	{b=0}
-140915	古街	65536	21476	3	{n=0}
-140916	程度	65536	31243	3	{n=172}
-140917	百货店	65536	197888	3	{n=1}
-140918	稳定平衡	65536	144091	3	{l=0}
-140919	稳扎稳	115749	155150	1	null
-140920	稳扎稳打	65536	140919	3	{i=1}
-140921	淀粉	108949	28096	2	{n=5}
-140922	漆片	65536	28422	3	{n=0}
-140923	稳拿把	115035	155327	1	null
-140924	房产	94342	25151	2	{n=3}
-140925	熏火	99983	29071	1	null
-140926	城防	65536	22478	3	{n=0}
-140927	城阳	76330	22478	1	null
-140928	稳拿把攥	65536	140923	3	{l=0}
-140929	稳操左	119884	155789	1	null
-140930	德政	65536	24503	3	{n=2}
-140931	琼枝	105627	29756	1	null
-140932	稳操左券	65536	140929	3	{i=0}
-140933	稳操胜券	65536	149879	3	{l=0}
-140934	泄洪	91689	27844	2	{v=1, vn=0}
-140935	稳步前	104109	157477	1	null
-140936	稳步前进	65536	140935	3	{l=4}
-140937	烛照	65536	28891	3	{v=1, vn=0}
-140938	稳稳地	65536	161267	3	{z=1}
-140939	托管	65536	25176	3	{v=1, vn=2}
-140940	口音	65536	21475	3	{n=6}
-140941	稳稳当当	65536	143021	3	{a=0, z=1}
-140942	火车站	65536	200149	3	{n=20}
-140943	宝鸡	81437	23453	2	{ns=1}
-140944	稷山	119511	31287	2	{ns=0}
-140945	城际	65536	22478	3	{b=3}
-140946	故园	65536	25925	3	{n=1}
-140947	文化街	65536	168038	3	{n=0}
-140948	图雷	70488	22270	1	null
-140949	多会	78485	22810	1	null
-140950	稷山县	65536	140944	3	{ns=0}
-140951	拔除	65536	25300	3	{v=1}
-140952	牵引	112655	29301	2	{v=2, vn=4}
-140953	清清白	100433	192287	1	null
-140954	浪潮	65536	28010	3	{n=25, nz=1}
-140955	康赛	65536	24247	3	{nz=0}
-140956	散件	65536	25955	3	{n=0}
-140957	稗官	103557	31255	1	null
-140958	火烧火	103133	192342	1	null
-140959	稻热病	65536	156998	3	{n=0}
-140960	稻田热	65536	158089	3	{n=0}
-140961	多伦	76480	22810	1	null
-140962	故国	65536	25925	3	{n=2}
-140963	发聋	67119	21457	1	null
-140964	稠乎	120851	31264	1	null
-140965	稻瘟病	65536	158328	3	{n=0}
-140966	玻璃丝	65536	143711	3	{n=0}
-140967	文化衫	65536	168038	3	{n=0}
-140968	炕桌	65536	28821	3	{n=0}
-140969	稻苞虫	65536	161591	3	{n=0}
-140970	稳定剂	65536	153434	3	{n=0}
-140971	汽油	106439	27773	2	{n=9}
-140972	稻草人	65536	161698	3	{n=0}
-140973	摆放	65536	25670	3	{v=13, vn=1}
-140974	稻飞虱	65536	167223	3	{n=0}
-140975	狮子狗	65536	135389	3	{n=0}
-140976	砌缝	65536	30732	3	{n=0}
-140977	稼穑	65536	31292	3	{n=1}
-140978	稽留热	65536	147563	3	{n=0}
-140979	稽审	65536	31293	3	{vn=3}
-140980	夏荒	65536	22799	3	{n=1}
-140981	得州	65536	24471	3	{ns=1}
-140982	穆斯林	65536	146205	3	{nz=14}
-140983	畏忌	65536	30031	3	{v=0}
-140984	犀浦	95758	29312	1	null
-140985	穆克	65536	31302	3	{nz=0}
-140986	悬而	86813	24748	1	null
-140987	外债	65536	22806	3	{n=48}
-140988	穆棱市	65536	147039	3	{ns=1}
-140989	牵强	95335	29301	2	{a=0, ad=0}
-140990	穆纳伊	120183	152609	1	null
-140991	散伙	65536	25955	3	{v=1}
-140992	散会	65536	25955	3	{v=0}
-140993	城陵	66931	22478	1	null
-140994	穆纳伊克	65536	140990	3	{nz=0}
-140995	挥霍	65536	25381	3	{v=8, vn=0}
-140996	故土	79530	25925	2	{n=5}
-140997	穆迪拉	65536	157016	3	{ns=0}
-140998	穗子	65536	31319	3	{n=0}
-140999	碳化	110400	30899	1	null
-141000	稿件	65536	31295	3	{n=8}
-141001	暖瓶	65536	26262	3	{n=0}
-141002	德文	82374	24503	2	{nz=0}
-141003	穗状花	116800	146988	1	null
-141004	房价	65536	25151	3	{n=3}
-141005	爽朗	65536	29245	3	{a=4}
-141006	混血种	65536	154812	3	{n=0}
-141007	穗状花序	65536	141003	3	{l=0}
-141008	穷乡僻	118274	181566	1	null
-141009	止痒	65536	27490	3	{v=0}
-141010	杨振	100283	26472	1	null
-141011	稚嫩	65536	31258	3	{a=9, an=1}
-141012	多余	65536	22810	3	{a=7, v=1, vn=0}
-141013	故地	80804	25925	2	{n=0}
-141014	多佛	65536	22810	3	{n=0}
-141015	寒带	65536	23506	3	{n=0}
-141016	学分	82508	23398	2	{n=0}
-141017	城隍	73425	22478	1	null
-141018	止痛	104913	27490	2	{v=0, vn=0}
-141019	究办	65536	31350	3	{v=0}
-141020	学刊	65536	23398	3	{n=0}
-141021	程式	65536	31243	3	{n=2}
-141022	涉案	110024	28041	2	{v=0, vn=2}
-141023	独木桥	65536	189174	3	{n=0}
-141024	白虎星	65536	207676	3	{n=0}
-141025	古装	67637	21476	2	{n=1}
-141026	码头	65536	30721	3	{n=12}
-141027	相形失	104832	196186	1	null
-141028	控制阀	65536	117157	3	{n=0}
-141029	故址	65536	25925	3	{n=0}
-141030	穷乡僻壤	65536	141008	3	{i=0}
-141031	穷光光	65536	182310	3	{z=0}
-141032	国有	75375	22269	2	{v=0, vn=443}
-141033	穷兵黩	113542	182354	1	null
-141034	生活报	65536	196436	3	{n=2}
-141035	坐观	72182	22352	1	null
-141036	穷兵黩武	65536	141033	3	{i=0}
-141037	穷凶极	116356	182483	1	null
-141038	回目	65536	22238	3	{n=0}
-141039	坐视	77306	22352	1	null
-141040	异形	86942	24322	1	null
-141041	桑寄	94827	26705	1	null
-141042	救兵	65536	25937	3	{n=0}
-141043	扶疏	65536	25206	3	{z=0}
-141044	布宜	72878	24067	1	null
-141045	夜莺	65536	22812	3	{n=0}
-141046	盖世无	116337	143869	1	null
-141047	异彩	77888	24322	2	{n=5}
-141048	穴位	65536	31348	3	{n=5}
-141049	散体	65536	25955	3	{n=0}
-141050	穷凶极恶	65536	141037	3	{i=0}
-141051	盟国	65536	30431	3	{n=14}
-141052	穷则思	119589	182518	1	null
-141053	穷则思变	65536	141052	3	{i=2}
-141054	炕梢	65536	28821	3	{n=0}
-141055	后盖	67448	21518	2	{n=1}
-141056	灼灼	65536	28796	3	{z=1}
-141057	穷原竟	118063	182908	1	null
-141058	学到	70786	23398	1	null
-141059	穷原竟委	65536	141057	3	{i=0}
-141060	桃花雪	65536	144833	3	{n=0}
-141061	疥螨	106308	30117	1	null
-141062	穷奢极	120703	184383	1	null
-141063	穷奢极侈	65536	141062	3	{i=0}
-141064	学制	65536	23398	3	{n=0}
-141065	穷家富	104733	184979	1	null
-141066	发育	66112	21457	2	{v=6, vn=13}
-141067	国本	65536	22269	3	{n=0}
-141068	穷家富路	65536	141065	3	{i=0}
-141069	祁剧	65536	31041	3	{n=0}
-141070	国术	65536	22269	3	{n=0}
-141071	温饱线	65536	191535	3	{n=4}
-141072	稠人	116709	31264	1	null
-141073	祝家	116323	31069	1	null
-141074	穷山恶	113375	185166	1	null
-141075	穷山恶水	65536	141074	3	{i=1}
-141076	穷年累	114701	185681	1	null
-141077	穷年累月	65536	141076	3	{i=0}
-141078	穷开心	65536	185821	3	{l=0}
-141079	穷当益	118721	185904	1	null
-141080	构配	103725	26500	1	null
-141081	百花山	65536	195210	3	{ns=0}
-141082	畏怯	65536	30031	3	{a=0}
-141083	穷当益坚	65536	141079	3	{i=0}
-141084	浩然	109796	28009	2	{z=4}
-141085	穷形尽	110632	185919	1	null
-141086	望文	92688	26395	1	null
-141087	学前	78572	23398	1	null
-141088	穷形尽相	65536	141085	3	{i=0}
-141089	穷极无	108249	187998	1	null
-141090	字调	65536	23383	3	{n=0}
-141091	穷极无聊	65536	141089	3	{i=0}
-141092	穷根究	116881	188182	1	null
-141093	双重	71284	21452	2	{b=10, d=1, m=0}
-141094	穷根究底	65536	141092	3	{i=1}
-141095	后盾	65536	21518	3	{n=4}
-141096	穷棒子	65536	188335	3	{n=0}
-141097	扶病	65536	25206	3	{d=0}
-141098	穷源溯	113130	189805	1	null
-141099	穷源溯流	65536	141098	3	{i=1}
-141100	献媚	65536	29486	3	{v=0}
-141101	穷竭心	105359	192970	1	null
-141102	发胖	65536	21457	3	{v=0}
-141103	父母	113319	29238	2	{n=67}
-141104	穷竭心计	65536	141101	3	{l=0}
-141105	穷追不	107814	198362	1	null
-141106	痴心	113815	30196	2	{n=1}
-141107	穷追不舍	65536	141105	3	{i=2}
-141108	穷追猛打	65536	150591	3	{l=1}
-141109	穷途末路	65536	141118	3	{i=0}
-141110	穷途潦倒	65536	143225	3	{i=0}
-141111	故垒	65536	25925	3	{n=0}
-141112	回眸	65536	22238	3	{v=5, vn=1}
-141113	撒玛	92387	25746	1	null
-141114	稚子	65536	31258	3	{n=0}
-141115	字谜	65536	23383	3	{n=0}
-141116	烈性	95471	28872	2	{b=0}
-141117	穷酸气	65536	198741	3	{n=0}
-141118	穷途末	104774	198385	1	null
-141119	穷骨头	65536	201093	3	{n=0}
-141120	灭火	111305	28781	2	{n=0, v=4, vn=2}
-141121	牵牛花	65536	145886	3	{n=0}
-141122	子目	78880	23376	2	{n=0}
-141123	柜门	65536	26588	3	{n=0}
-141124	穹隆式	65536	155511	3	{n=1}
-141125	德昂	85574	24503	2	{nz=0}
-141126	穹幕	65536	31353	3	{n=1}
-141127	底肥	65536	24213	3	{n=0}
-141128	名烟	65536	21517	3	{n=1}
-141129	搭界	65536	25645	3	{v=0}
-141130	漫无边	93359	143175	1	null
-141131	检查费	65536	138373	3	{n=1}
-141132	空中客车	65536	141134	3	{n=1}
-141133	空中小姐	65536	141243	3	{n=4}
-141134	空中客	104422	192191	1	null
-141135	空中楼阁	65536	144680	3	{i=2}
-141136	空前绝	119622	193247	1	null
-141137	异心	65536	24322	3	{n=0}
-141138	氯纶	65536	27695	3	{n=0}
-141139	武昌起	106190	177109	1	null
-141140	空前绝后	65536	141136	3	{i=0}
-141141	建安	65536	24314	3	{nz=0}
-141142	空包弹	65536	193431	3	{n=0}
-141143	枯死	65536	26543	3	{v=3}
-141144	宽阔	65536	23485	3	{a=5}
-141145	空压机	65536	193565	3	{n=0}
-141146	祝寿	65536	31069	3	{v=5, vn=0}
-141147	如梦	81951	22914	1	null
-141148	空口无	120177	193653	1	null
-141149	渺茫	65536	28218	3	{a=4}
-141150	空口无凭	65536	141148	3	{i=0}
-141151	空地导	116775	194498	1	null
-141152	空地导弹	65536	141151	3	{n=0}
-141153	空城计	65536	194656	3	{n=2}
-141154	如梭	65536	22914	3	{v=1}
-141155	狮子王	65536	135389	3	{n=1}
-141156	空天飞	114731	195003	1	null
-141157	空天飞机	65536	141156	3	{n=0}
-141158	望族	65536	26395	3	{n=0}
-141159	口风	65536	21475	3	{n=0}
-141160	空头支	110082	195014	1	null
-141161	守财	81856	23432	2	{v=0}
-141162	空头支票	65536	141160	3	{i=1}
-141163	源地	65536	28304	3	{n=0}
-141164	布尔	85875	24067	2	{n=0}
-141165	学力	65536	23398	3	{n=0}
-141166	炮兵群	65536	149173	3	{n=0}
-141167	空字符	65536	195561	3	{n=0}
-141168	智略	65536	26234	3	{n=0}
-141169	灼热	65536	28796	3	{z=0}
-141170	同类	65662	21516	2	{a=0, b=0, n=19, vn=0}
-141171	故城	96694	25925	2	{n=0, ns=0}
-141172	空对空	65536	195723	3	{l=2}
-141173	程序包	65536	140893	3	{n=0}
-141174	国林	65586	22269	1	null
-141175	基诺	71613	22522	1	null
-141176	空心坝	65536	196693	3	{n=0}
-141177	消费群	65536	188948	3	{n=1}
-141178	空想家	65536	196997	3	{n=0}
-141179	空无一	121026	198258	1	null
-141180	空无一人	65536	141179	3	{l=1}
-141181	碰上	65536	30896	3	{v=6}
-141182	焊丝	65536	28938	3	{n=0}
-141183	北风	65536	21271	3	{n=28}
-141184	基调	65536	22522	3	{n=3}
-141185	穹庐	65536	31353	3	{n=0}
-141186	空无所有	65536	146363	3	{l=0}
-141187	空旷旷	65536	198281	3	{z=0}
-141188	空架子	65536	198728	3	{n=0}
-141189	碳化硅	65536	140999	3	{n=0}
-141190	程序化	65536	140893	3	{v=0}
-141191	燃气灶	65536	135563	3	{n=0}
-141192	多倍	78999	22810	1	null
-141193	空桐树	65536	198882	3	{n=0}
-141194	空格符	65536	198862	3	{n=0}
-141195	戏词	65536	25103	3	{n=0}
-141196	空气型	65536	199846	3	{b=1}
-141197	空气轴承	65536	155509	3	{l=0}
-141198	煮豆	103983	29038	1	null
-141199	空洞无	111912	200112	1	null
-141200	富达	65536	23500	3	{nz=1}
-141201	空洞无物	65536	141199	3	{i=1}
-141202	癞蛤	102058	30302	1	null
-141203	空目录	65536	202624	3	{n=0}
-141204	宽限	65536	23485	3	{v=0}
-141205	正中要	102509	174383	1	null
-141206	发脾	65565	21457	1	null
-141207	空穴来	102091	203526	1	null
-141208	布局	65536	24067	3	{n=37, v=6, vn=4}
-141209	空穴来风	65536	141207	3	{i=1}
-141210	省政府	65536	187640	3	{n=69}
-141211	空空如也	65536	141225	3	{i=0}
-141212	空空导弹	65536	141859	3	{n=0}
-141213	空空洞洞	65536	146245	3	{z=0}
-141214	空白处	65536	202511	3	{s=0}
-141215	空空荡荡	65536	151944	3	{v=1, z=1}
-141216	应当	65536	24212	3	{d=2, v=338, vd=0}
-141217	步步	106145	27493	2	{d=0, q=8, vd=0}
-141218	空管局	65536	203827	3	{j=0}
-141219	空置房	65536	204800	3	{n=0}
-141220	吃鸭	65538	21507	1	null
-141221	空舍清	103896	205471	1	null
-141222	空舍清野	65536	141221	3	{l=1}
-141223	空荡荡	65536	205811	3	{z=2}
-141224	旁白	65536	26049	3	{n=0}
-141225	空空如	121148	203532	1	null
-141226	空落落	65536	206031	3	{z=0}
-141227	空语句	65536	207999	3	{n=0}
-141228	空谈家	65536	208026	3	{n=0}
-141229	布展	65536	24067	3	{v=0, vn=1}
-141230	实像	65536	23454	3	{n=0}
-141231	空谷足	102334	208073	1	null
-141232	空调器	65536	208021	3	{n=2}
-141233	空谷足音	65536	141231	3	{i=1}
-141234	戏说	65536	25103	3	{v=1}
-141235	彩灯	65536	24425	3	{n=15}
-141236	奇绝	65536	22855	3	{a=1}
-141237	异性	65536	24322	3	{b=0, n=3}
-141238	积极向	120741	187511	1	null
-141239	烂漫	65536	28866	3	{z=3}
-141240	承审	93558	25215	1	null
-141241	空运单	65536	208994	3	{n=0}
-141242	痴恋	65536	30196	3	{v=0}
-141243	空中小	118141	192191	1	null
-141244	客舱	65536	23458	3	{n=3}
-141245	德智	91331	24503	1	null
-141246	空间图形	65536	141258	3	{l=0}
-141247	空间点阵	65536	147845	3	{l=0}
-141248	沦肌	100364	27814	1	null
-141249	套餐	65536	22871	3	{n=3}
-141250	空间科学	65536	150173	3	{n=4}
-141251	空间结构	65536	151455	3	{n=0}
-141252	客船	65536	23458	3	{n=0}
-141253	电脑房	65536	202070	3	{n=1}
-141254	原阳	69910	21407	1	null
-141255	空阔无	118825	210598	1	null
-141256	海防线	65536	201768	3	{n=0}
-141257	空阔无垠	65536	141255	3	{i=0}
-141258	空间图	116828	210566	1	null
-141259	空防区	65536	210628	3	{n=0}
-141260	空降兵	65536	210655	3	{n=0}
-141261	穿云破雾	65536	141265	3	{i=0}
-141262	应征	65536	24212	3	{v=3, vn=4}
-141263	戏谑	65536	25103	3	{v=1}
-141264	穿云裂石	65536	145503	3	{i=0}
-141265	穿云破	102607	157589	1	null
-141266	畏惧	65536	30031	3	{v=1}
-141267	穿凿附	121022	158467	1	null
-141268	电动机	65536	190189	3	{n=0}
-141269	抓阄	65536	25235	3	{v=0}
-141270	土气	65536	22303	3	{a=1, an=0}
-141271	南锣	65540	21335	1	null
-141272	穿凿附会	65536	141267	3	{i=0}
-141273	穿刺术	65536	158526	3	{n=0}
-141274	消费者	65536	188948	3	{n=132}
-141275	穿孔机	65536	160856	3	{n=0}
-141276	玻璃体	65536	143711	3	{n=0}
-141277	穿小鞋	65536	161043	3	{l=0}
-141278	征服	65536	24449	3	{v=12, vn=0}
-141279	泰米尔纳	104586	129075	1	null
-141280	穿山甲	65536	161141	3	{n=0}
-141281	穿心莲	65536	161991	3	{n=0}
-141282	穿梭外交	65536	141288	3	{l=0}
-141283	失声	65536	22833	3	{v=1, vd=0}
-141284	应得	65536	24212	3	{v=1, vn=0}
-141285	洒遍	65536	27922	3	{v=1}
-141286	国标	65540	22269	2	{j=1}
-141287	福州戏	65536	174191	3	{n=0}
-141288	穿梭外	121150	164273	1	null
-141289	穿堂门	65536	160006	3	{n=0}
-141290	滋生	65536	28363	3	{v=11, vn=2}
-141291	程思	104027	31243	1	null
-141292	增资	65536	22686	3	{v=2, vn=0}
-141293	外公	78112	22806	2	{n=1}
-141294	穿甲弹	65536	167478	3	{n=0}
-141295	杜菜	101254	26460	1	null
-141296	国树	65536	22269	3	{n=0}
-141297	穿衣镜	65536	172391	3	{n=0}
-141298	同系	65616	21516	1	null
-141299	百废待	117292	185976	1	null
-141300	穿透力	65536	174355	3	{n=3}
-141301	团长	65536	22242	3	{n=36}
-141302	穿针引	108859	175500	1	null
-141303	斗拱	65536	26007	3	{n=0}
-141304	新闻部	81272	189751	1	null
-141305	秫米	65536	31211	3	{n=0}
-141306	穿针引线	65536	141302	3	{i=2}
-141307	夏蒙	75484	22799	1	null
-141308	灶王	103240	28790	1	null
-141309	模式	65536	27169	3	{n=109}
-141310	文化观	65536	168038	3	{n=0}
-141311	突击手	65536	147863	3	{n=2}
-141312	番木	106467	30058	1	null
-141313	突发性	65536	148333	3	{b=3, n=0}
-141314	突变论	65536	148340	3	{n=0}
-141315	悬腕	65536	24748	3	{v=0}
-141316	炊烟	97555	28810	2	{n=2}
-141317	突如其	114851	149790	1	null
-141318	爬犁	65536	29228	3	{n=1}
-141319	市政	87346	24066	2	{j=0, n=13}
-141320	突如其来	65536	141317	3	{i=1}
-141321	可行	68241	21487	2	{a=5, an=0, v=0}
-141322	突尼斯	120474	150488	2	{ns=20}
-141323	突尼斯共	119681	141322	1	null
-141324	归整	65536	24402	3	{v=0}
-141325	突尼斯共和	119057	141323	1	null
-141326	突尼斯共和国	65536	141325	3	{ns=0}
-141327	突飞猛	104503	166010	1	null
-141328	枯水	103850	26543	2	{n=3}
-141329	奇缺	65536	22855	3	{v=1, vn=1}
-141330	突飞猛进	65536	141327	3	{i=5}
-141331	突破口	65536	157648	3	{n=34}
-141332	液态	102592	28082	2	{n=1}
-141333	窃听器	65536	142036	3	{n=0}
-141334	窃玉偷	102014	150065	1	null
-141335	窃玉偷香	65536	141334	3	{i=0}
-141336	熊熊	65536	29066	3	{z=6}
-141337	窃窃私	105522	151851	1	null
-141338	喜车	65536	21916	3	{n=1}
-141339	国格	65536	22269	3	{n=0}
-141340	外军	65536	22806	3	{j=0, n=0}
-141341	折光	91163	25240	2	{vn=0}
-141342	科学化	65536	186696	3	{a=0, an=0, v=7, vn=4}
-141343	窃窃私语	65536	141337	3	{i=0}
-141344	窃钩窃	119078	158545	1	null
-141345	显目	65536	26174	3	{a=0}
-141346	土池	65536	22303	3	{n=0}
-141347	窃钩窃国	65536	141344	3	{i=0}
-141348	欢迎词	65536	166861	3	{n=0}
-141349	折兑	65536	25240	3	{v=0}
-141350	救助	89402	25937	2	{v=36, vn=29}
-141351	窄小	65536	31364	3	{a=2}
-141352	形神	89526	24418	1	null
-141353	声级	65536	22768	3	{n=0}
-141354	得当	65536	24471	3	{a=1}
-141355	窄巴巴	65536	141836	3	{z=0}
-141356	洗发膏	65536	157302	3	{n=0}
-141357	生长素	65536	206744	3	{n=1}
-141358	禄劝	65536	31108	3	{ns=0}
-141359	献宝	65536	29486	3	{v=0}
-141360	窈窕	65536	31368	3	{a=1}
-141361	漏气	65536	28431	3	{v=0}
-141362	口香	65541	21475	1	null
-141363	窍门	65536	31373	3	{n=0}
-141364	痴情	65536	30196	3	{a=1, n=0}
-141365	声纳	65536	22768	3	{n=0}
-141366	牡丹江	109601	133675	2	{ns=4}
-141367	巨著	65536	24040	3	{n=3}
-141368	犁牛	65536	29313	3	{n=0}
-141369	窖藏	65536	31382	3	{v=0}
-141370	法西斯蒂	65536	128717	3	{n=0}
-141371	窑主	65536	31377	3	{n=0}
-141372	窗明几	120447	168012	1	null
-141373	窒息	65536	31378	3	{v=3, vn=1}
-141374	涤纶	65536	28068	3	{n=0}
-141375	窗明几净	65536	141372	3	{i=0}
-141376	电视塔	65536	204299	3	{n=1}
-141377	窗格子	65536	168570	3	{n=0}
-141378	发自	65536	21457	3	{v=4}
-141379	窗玻璃	65536	171513	3	{n=0}
-141380	窝囊废	65536	145446	3	{n=0}
-141381	发臭	65536	21457	3	{a=0, v=0}
-141382	百分尺	65536	182751	3	{n=0}
-141383	砸碎	65536	30776	3	{v=1}
-141384	混双	65536	28151	3	{j=2}
-141385	窝窝头	65536	154617	3	{n=0}
-141386	电影机	65536	193462	3	{n=0}
-141387	猫儿眼	65536	134552	3	{n=0}
-141388	窝里斗	65536	160552	3	{l=0}
-141389	微型	90230	24494	2	{b=13}
-141390	窟窿	110870	31391	2	{n=1}
-141391	棋友	65536	26827	3	{n=0}
-141392	圣约	65546	22307	1	null
-141393	漏水	65536	28431	3	{v=1, vn=0}
-141394	窟窿眼	65536	141390	3	{n=0}
-141395	字贴	65536	23383	3	{n=0}
-141396	架设	65536	26550	3	{v=8, vn=0}
-141397	碌碌无	119543	139561	1	null
-141398	漠不相	110935	131792	1	null
-141399	窠臼	65536	31392	3	{n=0}
-141400	学历	65536	23398	3	{n=14}
-141401	窥探者	65536	146912	3	{n=1}
-141402	窥豹一	115402	157367	1	null
-141403	窥豹一斑	65536	141402	3	{i=0}
-141404	旅客	65536	26053	3	{n=140}
-141405	瑶族	115189	29814	2	{nz=9}
-141406	德望	65536	24503	3	{n=0}
-141407	寒微	65536	23506	3	{a=0}
-141408	立于不	105281	187671	1	null
-141409	土沟	70147	22303	1	null
-141410	痴想	65536	30196	3	{v=0}
-141411	弹片	65536	24377	3	{n=0}
-141412	测温	106269	27979	1	null
-141413	泰兴	104955	27888	2	{ns=0}
-141414	立于不败	121374	141408	1	null
-141415	土沥	65542	22303	1	null
-141416	斯瓦	83354	26031	1	null
-141417	立于不败之	119105	141414	1	null
-141418	生殖洄	107404	196015	1	null
-141419	泄漏	65536	27844	3	{v=5, vn=2}
-141420	市斤	65536	24066	3	{q=6}
-141421	窜扰	65536	31388	3	{v=0}
-141422	浇筑	65536	27975	3	{v=6, vn=0}
-141423	显眼	65536	26174	3	{a=3}
-141424	悬臂	65536	24748	3	{n=0}
-141425	立于不败之地	65536	141417	3	{l=3, n=0}
-141426	应急	82352	24212	2	{v=5, vd=0, vn=32}
-141427	污秽	65536	27745	3	{n=1}
-141428	寒心	65536	23506	3	{v=0, vn=0}
-141429	喜迁	65536	21916	3	{v=0}
-141430	立交桥	65536	187693	3	{n=8}
-141431	立体几何	65536	143173	3	{n=0}
-141432	立体电影	65536	152218	3	{l=0}
-141433	圣经	65536	22307	3	{n=4}
-141434	立克次	121131	188372	1	null
-141435	外出	65541	22806	2	{v=22, vd=0, vn=1}
-141436	思索	65536	24605	3	{v=8, vn=1}
-141437	程序名	65536	140893	3	{n=0}
-141438	立克次体	65536	141434	3	{l=0}
-141439	立功赎	108825	188712	1	null
-141440	滩簧	65536	28393	3	{n=0}
-141441	异想	87505	24322	1	null
-141442	喜迎	69123	21916	2	{v=31}
-141443	立功赎罪	65536	141439	3	{i=0}
-141444	混合	108507	28151	2	{v=1, vd=0, vn=5}
-141445	立宪派	65536	191027	3	{n=0}
-141446	立此存	112419	195053	1	null
-141447	外分	71268	22806	1	null
-141448	混同	65536	28151	3	{v=0}
-141449	痴愚	65536	30196	3	{a=0}
-141450	立此存照	65536	141446	3	{i=0}
-141451	外刊	65536	22806	3	{n=0}
-141452	立法委员	65536	144210	3	{n=0}
-141453	立方体	65536	193602	3	{n=0}
-141454	桂宫	65536	26690	3	{n=0}
-141455	立眉瞪	110932	198034	1	null
-141456	立眉瞪眼	65536	141455	3	{l=0}
-141457	立竿见	117026	199048	1	null
-141458	棋后	65536	26827	3	{n=2}
-141459	立竿见影	65536	141457	3	{i=1}
-141460	实况	65536	23454	3	{n=5}
-141461	团队	65536	22242	3	{n=4}
-141462	烦杂	65536	28902	3	{a=0}
-141463	土法	65536	22303	3	{n=0}
-141464	立法会	65536	195422	3	{n=16}
-141465	立等可	120008	199122	1	null
-141466	得心	87141	24471	1	null
-141467	溃疡	101075	28291	2	{n=1}
-141468	南门	65549	21335	2	{n=0}
-141469	学友	65536	23398	3	{n=1}
-141470	立等可取	65536	141465	3	{l=1}
-141471	望月	94428	26395	2	{n=0}
-141472	立脚点	65536	200611	3	{n=0}
-141473	爆炸物	65536	141986	3	{n=2}
-141474	片儿警	65536	145277	3	{n=0}
-141475	立足之地	65536	141479	3	{i=1}
-141476	立足未稳	65536	147846	3	{l=0}
-141477	硕士	109426	30805	2	{n=16}
-141478	是非	94899	26159	2	{n=14}
-141479	立足之	119155	203836	1	null
-141480	国棉	65536	22269	3	{j=0}
-141481	立身处	121495	204084	1	null
-141482	标准局	65536	149778	3	{n=0}
-141483	彩照	65536	24425	3	{n=3}
-141484	末节	65536	26411	3	{n=1}
-141485	立身处世	65536	141481	3	{i=0}
-141486	得志	65536	24471	3	{v=0}
-141487	惊世	73801	24778	1	null
-141488	名片	72920	21517	2	{n=8}
-141489	官子	65536	23448	3	{n=2, vn=2}
-141490	望望	65536	26395	3	{v=0}
-141491	欲速	105908	27442	1	null
-141492	立锥之	119175	205742	1	null
-141493	名牌	65536	21517	3	{n=30}
-141494	礼拜六	65536	165576	3	{t=0}
-141495	立锥之地	65536	141492	3	{i=0}
-141496	服务年	65536	133989	3	{n=1}
-141497	稍为	65536	31245	3	{d=0}
-141498	汇编语	92475	163521	1	null
-141499	碱化	65536	30897	3	{v=0}
-141500	漫录	65536	28459	3	{vn=1}
-141501	立陶宛	65536	206079	3	{ns=15}
-141502	多元	78052	22810	2	{b=9, d=0, m=0, v=0}
-141503	站住脚	65536	148832	3	{v=0}
-141504	站台票	65536	150017	3	{n=0}
-141505	站柜台	65536	155117	3	{v=1}
-141506	并用	65536	24182	3	{v=1}
-141507	抢白	65536	25250	3	{v=0}
-141508	深情厚谊	65536	130502	3	{i=2}
-141509	注入	65536	27880	3	{v=31, vn=0}
-141510	竞买价	65536	142835	3	{n=0}
-141511	竞技体操	65536	141518	3	{l=0}
-141512	程序员	65536	140893	3	{n=0}
-141513	疗效	65536	30103	3	{n=12}
-141514	竞投人	65536	147992	3	{n=2}
-141515	爆满	65536	29190	3	{v=6, vn=0}
-141516	楚辞	65536	26970	3	{n=0}
-141517	土洋	72446	22303	1	null
-141518	竞技体	115706	147971	1	null
-141519	概莫	92353	27010	1	null
-141520	章丘市	65536	142316	3	{ns=0}
-141521	添砖	109492	28155	1	null
-141522	名物	65536	21517	3	{n=0}
-141523	竞争力	65536	142860	3	{n=67}
-141524	折刀	65536	25240	3	{n=0}
-141525	多党	78264	22810	1	null
-141526	未曾	65536	26410	3	{d=6}
-141527	祸从天	101701	149505	1	null
-141528	章回体	65536	144562	3	{n=0}
-141529	竟会	65536	31455	3	{v=1}
-141530	研究型	65536	150607	3	{b=6, n=1}
-141531	分馏	66094	20998	2	{v=0}
-141532	架豆	65536	26550	3	{n=0}
-141533	款识	65536	27454	3	{n=0}
-141534	森罗	105199	26862	1	null
-141535	学名	65536	23398	3	{n=0}
-141536	章回小说	65536	144788	3	{n=0}
-141537	硕大	113330	30805	2	{a=2, z=1}
-141538	名特	73549	21517	1	null
-141539	窘促	65536	31384	3	{a=0}
-141540	竣工	65536	31459	3	{v=33, vn=17}
-141541	童养媳	65536	164189	3	{n=0}
-141542	童叟无	114094	164801	1	null
-141543	南阳	66945	21335	2	{nr=4, ns=3}
-141544	童叟无欺	65536	141542	3	{i=0}
-141545	熊牛	65536	29066	3	{n=1}
-141546	童心未	113660	167845	1	null
-141547	童心未泯	65536	141546	3	{i=0, l=2}
-141548	注册	107525	27880	2	{v=26, vd=0, vn=14}
-141549	就近	65536	23601	3	{a=0, b=0, d=10}
-141550	救危	92772	25937	1	null
-141551	散光	65536	25955	3	{vn=0}
-141552	围魏	70364	22260	1	null
-141553	童男童	118656	173337	1	null
-141554	守身	81845	23432	1	null
-141555	童男童女	65536	141553	3	{n=0}
-141556	斑鸠	65536	26001	3	{n=4}
-141557	童言无	117034	178658	1	null
-141558	童言无忌	65536	141557	3	{i=0}
-141559	有机酸	65536	181212	3	{n=0}
-141560	实则	65536	23454	3	{v=1}
-141561	官官	74801	23448	1	null
-141562	科学史	65536	186696	3	{n=0}
-141563	童子军	65536	166706	3	{n=0}
-141564	硫化物	65536	139471	3	{n=0}
-141565	童话国	65536	179135	3	{n=1}
-141566	码子	65536	30721	3	{n=0}
-141567	旅居	65536	26053	3	{v=6, vn=0}
-141568	欢呼雀	89452	151675	1	null
-141569	童颜鹤	120113	182398	1	null
-141570	童颜鹤发	65536	141569	3	{i=0}
-141571	毁约	65536	27585	3	{v=0, vn=0}
-141572	竭力	65536	31469	3	{d=6}
-141573	女团	65536	22899	3	{j=0}
-141574	竭尽全	120435	144038	1	null
-141575	官宦	65536	23448	3	{n=1}
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-141579	歧视	101650	27495	2	{v=3, vn=3}
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-141581	欠缺	65536	27424	3	{a=0, an=1, v=4, vn=0}
-141582	竭尽全力	65536	141574	3	{i=4}
-141583	竭泽而	113404	148326	1	null
-141584	竭泽而渔	65536	141583	3	{i=1}
-141585	步法	65536	27493	3	{n=0}
-141586	奇耻	78282	22855	1	null
-141587	电视大	112700	204299	1	null
-141588	底色	65536	24213	3	{n=3}
-141589	发芽	71331	21457	2	{v=3, vn=0}
-141590	端午节	65536	152545	3	{t=0}
-141591	电热毯	65536	197938	3	{n=0}
-141592	滴水瓦	65536	144505	3	{n=0}
-141593	朱红	65536	26417	3	{b=0}
-141594	泰利	99717	27888	1	null
-141595	散兵	90225	25955	2	{n=0}
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-141598	端端正	114123	162696	1	null
-141599	外办	65536	22806	3	{j=11}
-141600	外功	65536	22806	3	{n=0}
-141601	外加	65536	22806	3	{v=3}
-141602	外务	65536	22806	3	{n=0}
-141603	矮个子	65536	139783	3	{n=0}
-141604	种养加	65536	172849	3	{j=1}
-141605	摆架	94062	25670	1	null
-141606	期货	102608	26399	2	{n=14}
-141607	左翼	65536	24038	3	{n=10}
-141608	地拉	65556	22320	1	null
-141609	南陵	69557	21335	1	null
-141610	学员	66071	23398	2	{n=49}
-141611	熠熠闪	94843	133213	1	null
-141612	晋宁	99883	26187	1	null
-141613	核桃酪	65536	173143	3	{n=0}
-141614	端端正正	65536	141598	3	{z=0}
-141615	端阳节	65536	169676	3	{t=0}
-141616	竹制品	65536	185682	3	{n=0}
-141617	竹叶青	65536	186130	3	{nz=0}
-141618	毫不讳	91611	132648	1	null
-141619	竹园村	65536	186889	3	{ns=0}
-141620	晋安	100018	26187	1	null
-141621	竹帘画	65536	188724	3	{n=0}
-141622	竖井	65536	31446	3	{n=0}
-141623	竹报平	118192	189889	1	null
-141624	恶心	65536	24694	3	{a=2, an=0}
-141625	竹报平安	65536	141623	3	{i=0}
-141626	竹板书	65536	191131	3	{n=0}
-141627	漏洞	101382	28431	2	{n=18}
-141628	回礼	65536	22238	3	{n=0, v=0}
-141629	未来	100582	26410	2	{n=0, t=179}
-141630	电磁波	65536	199942	3	{n=0}
-141631	生死攸	114767	195988	1	null
-141632	竹林镇	65536	191155	3	{ns=0}
-141633	欣逢	65536	27427	3	{v=0}
-141634	琉璃河	65536	135297	3	{nz=0}
-141635	竹枝词	65536	191161	3	{n=0}
-141636	版图	65536	29256	3	{n=3}
-141637	海底捞针	65536	129986	3	{i=0}
-141638	竹溪县	65536	192966	3	{ns=0}
-141639	竹箫斋	65536	196295	3	{nz=4}
-141640	南隔	68435	21335	1	null
-141641	竹苞松	108104	198138	1	null
-141642	竹苞松茂	65536	141641	3	{i=0}
-141643	竹节石	65536	198046	3	{n=0}
-141644	瞒天	101922	30610	1	null
-141645	炭画	65536	28845	3	{n=0}
-141646	旗鼓	89303	26071	1	null
-141647	拜神	65536	25308	3	{v=0}
-141648	竿子	65536	31487	3	{n=0}
-141649	施氏	79558	26045	1	null
-141650	笃行不	121135	156115	1	null
-141651	惊人	93319	24778	2	{a=18}
-141652	桂山	86537	26690	1	null
-141653	笃行不倦	65536	141650	3	{i=1}
-141654	炉料	65536	28809	3	{n=0}
-141655	摇身	97534	25671	1	null
-141656	笊篱	65536	31498	3	{n=0}
-141657	笋壳	65536	31499	3	{n=1}
-141658	布市	65536	24067	3	{j=0}
-141659	淮海路	65536	137462	3	{ns=1}
-141660	电热水	113942	197938	1	null
-141661	笑吟吟	65536	174490	3	{z=2}
-141662	笆斗	65536	31494	3	{n=0}
-141663	笑呵呵	65536	174576	3	{z=1}
-141664	得悉	65536	24471	3	{v=0}
-141665	泪水	65536	27882	3	{n=11}
-141666	笑哈哈	65536	174659	3	{z=0}
-141667	笑嘻嘻	65536	175030	3	{z=0}
-141668	笑容可掬	65536	141676	3	{i=0}
-141669	外勤	65536	22806	3	{n=1}
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-141671	快当	65536	24555	3	{a=0}
-141672	笃信	65536	31491	3	{v=1}
-141673	福利型	65536	171194	3	{b=1, n=0}
-141674	恶念	65536	24694	3	{n=0}
-141675	笑掉大	112408	178436	1	null
-141676	笑容可	116152	176436	1	null
-141677	留言簿	65536	197375	3	{n=2}
-141678	生物战	65536	197762	3	{n=0}
-141679	源头	65536	28304	3	{n=25}
-141680	灌木	112157	28748	2	{n=0}
-141681	笑掉大牙	65536	141675	3	{l=0}
-141682	笑盈盈	65536	183363	3	{z=0}
-141683	布帛	65536	24067	3	{n=0}
-141684	未果	65536	26410	3	{v=1}
-141685	笑眯眯	65536	183466	3	{z=1}
-141686	笑脸相	104873	186035	1	null
-141687	笑脸相迎	65536	141686	3	{i=3}
-141688	窥伺	65536	31397	3	{v=0}
-141689	笑话百	120706	188760	1	null
-141690	实力	77555	23454	2	{n=122, vn=1}
-141691	疾风暴	97929	154654	1	null
-141692	笑话百出	65536	141689	3	{l=0}
-141693	笑逐颜	117380	189835	1	null
-141694	可见	72923	21487	2	{c=11, v=12}
-141695	可观	65536	21487	3	{a=23}
-141696	回禀	65536	22238	3	{v=0}
-141697	控制额	65536	117157	3	{n=1}
-141698	抢眼	65536	25250	3	{a=1}
-141699	可视	65642	21487	1	null
-141700	笑逐颜开	65536	141693	3	{i=2}
-141701	枯涩	65536	26543	3	{a=0}
-141702	外包	65541	22806	1	null
-141703	步测	65536	27493	3	{v=0}
-141704	笑里藏	120715	190279	1	null
-141705	椭面	65536	26925	3	{n=0}
-141706	晋察	100463	26187	1	null
-141707	笑里藏刀	65536	141704	3	{i=1}
-141708	笑面虎	65536	191709	3	{n=0}
-141709	笔墨官	120214	185511	1	null
-141710	笔墨官司	65536	141709	3	{i=1}
-141711	碾子	65536	30910	3	{n=0, ns=0}
-141712	笔墨纸砚	65536	150701	3	{n=1}
-141713	实劲	65536	23454	3	{n=1}
-141714	笔底下	65536	187028	3	{n=0, s=0}
-141715	笔杆子	65536	189253	3	{n=0}
-141716	笔简意	113572	194431	1	null
-141717	笔简意深	65536	141716	3	{i=1}
-141718	笔耕不辍	65536	141722	3	{l=2}
-141719	泪汪	101253	27882	1	null
-141720	异戊	83104	24322	1	null
-141721	末药	65536	26411	3	{n=0}
-141722	笔耕不	104969	195604	1	null
-141723	笔耕墨耘	65536	144437	3	{l=1}
-141724	恶性	88575	24694	2	{b=6, d=1}
-141725	版块	65536	29256	3	{n=0}
-141726	同级	65536	21516	3	{b=4, n=2, vn=5}
-141727	桑干	96984	26705	1	null
-141728	炎症	65536	28814	3	{n=1}
-141729	笛子	65536	31515	3	{n=2}
-141730	笔记本	65536	198575	3	{n=8}
-141731	笠井	65536	31520	3	{nr=0}
-141732	多利	65536	22810	3	{n=0, nz=5}
-141733	笤帚	65536	31524	3	{n=0}
-141734	摆样	94068	25670	1	null
-141735	符号串	65536	141742	3	{n=0}
-141736	符合条	121524	141759	1	null
-141737	梭鱼	65536	26797	3	{n=0}
-141738	符合条件	108967	141736	1	null
-141739	扬琴	65536	25196	3	{n=0}
-141740	符合条件者	65536	141738	3	{n=1}
-141741	守车	65536	23432	3	{n=0}
-141742	符号	121717	31526	2	{n=2}
-141743	国槐	65536	22269	3	{n=0}
-141744	笨口拙	108454	142200	1	null
-141745	建工	65536	24314	3	{j=4}
-141746	笨口拙舌	65536	141744	3	{l=0}
-141747	检察长	65536	135295	3	{n=2}
-141748	秤星	65536	31204	3	{n=0}
-141749	女垒	65536	22899	3	{j=0}
-141750	笨嘴拙	108463	142793	1	null
-141751	归期	65536	24402	3	{n=0, t=0}
-141752	后福	65536	21518	3	{n=0}
-141753	熊猫	93831	29066	2	{n=7, nz=0}
-141754	梦见	65536	26790	3	{v=0}
-141755	笨嘴拙舌	65536	141750	3	{i=0}
-141756	笨家伙	65536	144203	3	{n=0}
-141757	可言	65536	21487	3	{u=0, v=2, vn=0}
-141758	沟谷	65536	27807	3	{n=2}
-141759	符合	115271	31526	2	{v=137, vn=0}
-141760	寒意	80211	23506	2	{n=4}
-141761	笨手笨	108714	145888	1	null
-141762	拜科	94951	25308	1	null
-141763	拆线	65536	25286	3	{v=0}
-141764	笨手笨脚	65536	141761	3	{l=0}
-141765	笨鸟先	102633	161204	1	null
-141766	微处	81799	24494	1	null
-141767	笨鸟先飞	65536	141765	3	{i=0}
-141768	好不	78150	22909	2	{d=0}
-141769	古训	65536	21476	3	{n=1}
-141770	第一产业	65536	141911	3	{l=1}
-141771	第一国际	65536	144045	3	{l=0}
-141772	第一夫人	65536	144603	3	{n=0}
-141773	第一把手	65536	147002	3	{l=0}
-141774	第三世界	65536	142000	3	{n=10}
-141775	炭疽	65536	28845	3	{n=0}
-141776	正经话	65536	186833	3	{n=0}
-141777	第三产业	65536	142145	3	{l=24}
-141778	盟委	65536	30431	3	{j=2, n=0}
-141779	科威特尔	65536	140473	3	{n=0}
-141780	第三国际	65536	144279	3	{l=0}
-141781	浙江队	65536	137601	3	{n=3, nt=2}
-141782	第三道路	120957	158957	1	null
-141783	第三道路党	65536	141782	3	{n=2}
-141784	第二产	121791	142014	1	null
-141785	第二产业	65536	141784	3	{l=4}
-141786	攻破	65536	25915	3	{v=1}
-141787	异才	65536	24322	3	{n=0}
-141788	布庄	65536	24067	3	{n=0}
-141789	第二国际	65536	143918	3	{l=0}
-141790	第四系	65536	144141	3	{n=0}
-141791	第比利	115762	149510	1	null
-141792	电话拥	109731	204834	1	null
-141793	第比利斯	65536	141791	3	{ns=3}
-141794	第纳尔	65536	154341	3	{n=7, q=0}
-141795	涡轮	103787	28065	2	{n=0}
-141796	笸箩	65536	31544	3	{n=0}
-141797	样片	65536	26679	3	{n=0}
-141798	得意	91317	24471	2	{a=7, an=0}
-141799	石榴花	65536	197593	3	{n=0}
-141800	散剂	65536	25955	3	{n=0}
-141801	等于号	65536	180998	3	{n=0}
-141802	番椒	65536	30058	3	{n=0}
-141803	土温	65536	22303	3	{n=0}
-141804	笺注	65536	31546	3	{n=0}
-141805	等价交	116367	181103	1	null
-141806	癸午	65536	30328	3	{m=0}
-141807	布店	65536	24067	3	{n=0}
-141808	笼头	65536	31548	3	{n=0}
-141809	等价交换	65536	141805	3	{i=1}
-141810	牵扯	65536	29301	3	{v=3}
-141811	古诗	65716	21476	2	{n=1}
-141812	神农溪	65536	194977	3	{ns=0}
-141813	好为	81485	22909	1	null
-141814	等值线	65536	181428	3	{n=0}
-141815	禅宗	65536	31109	3	{n=0}
-141816	等分线	65536	181886	3	{n=0}
-141817	古话	65536	21476	3	{n=0}
-141818	救命	98221	25937	2	{v=0, vn=6}
-141819	等压线	65536	182275	3	{n=0}
-141820	等因奉	114334	183128	1	null
-141821	归来	65536	24402	3	{v=13, vn=0}
-141822	房利	81718	25151	1	null
-141823	快快	92205	24555	2	{d=0}
-141824	好久	65536	22909	3	{m=2}
-141825	双钩	65536	21452	3	{n=0}
-141826	等因奉此	65536	141820	3	{i=1}
-141827	外厂	65536	22806	3	{n=0}
-141828	等外品	65536	183694	3	{n=0}
-141829	梅林	65536	26757	3	{nz=0}
-141830	喜酒	65536	21916	3	{n=0}
-141831	瓢虫	65536	29922	3	{n=0}
-141832	等差数列	65536	141857	3	{l=0}
-141833	古语	65718	21476	2	{n=1}
-141834	砍大	115513	30733	1	null
-141835	回程	65536	22238	3	{n=1}
-141836	窄巴	117303	31364	1	null
-141837	架起	65536	26550	3	{v=0}
-141838	等差级数	65536	148312	3	{n=0}
-141839	后秦	65536	21518	3	{t=0}
-141840	等效电	105506	186816	1	null
-141841	等效电路	65536	141840	3	{n=0}
-141842	南非	70154	21335	2	{ns=149}
-141843	反衬	65536	21453	3	{v=0}
-141844	狡滑	65536	29409	3	{a=0}
-141845	癸卯	65536	30328	3	{m=0}
-141846	南面	65536	21335	3	{f=0}
-141847	砍头	109055	30733	1	null
-141848	杜蘅	65536	26460	3	{n=0}
-141849	如此	82066	22914	2	{r=130}
-141850	多功	66291	22810	1	null
-141851	等比数列	65536	141864	3	{l=0}
-141852	望梅	95185	26395	1	null
-141853	等比级数	65536	148319	3	{n=0}
-141854	折半	65536	25240	3	{v=0}
-141855	弹球	65536	24377	3	{n=0}
-141856	盼望	65536	30460	3	{v=16, vn=0}
-141857	等差数	120817	184934	1	null
-141858	房前	65536	25151	3	{s=3}
-141859	空空导	116835	203532	1	null
-141860	后移	65536	21518	3	{vn=1}
-141861	等深线	65536	189033	3	{n=0}
-141862	桌边	65536	26700	3	{s=1}
-141863	等温线	65536	189089	3	{n=1}
-141864	等比数	120836	188492	1	null
-141865	滥用	65536	28389	3	{v=10, vn=1}
-141866	才能	65536	25165	3	{d=0, n=6, v=20, vn=0}
-141867	烂熟	65536	28866	3	{z=2}
-141868	等离子	121568	192051	2	{n=1}
-141869	等积形	65536	192103	3	{n=0}
-141870	多劳	76507	22810	1	null
-141871	撤销	65536	25764	3	{v=13, vn=0}
-141872	矢志不移	65536	138819	3	{i=1}
-141873	增辉	65536	22686	3	{v=0}
-141874	第一	121776	31532	2	{m=826}
-141875	等离子体	65536	141868	3	{n=0}
-141876	发菜	65536	21457	3	{n=4}
-141877	等米下	103731	192747	1	null
-141878	古谚	65536	21476	3	{n=0}
-141879	泛读	65536	27867	3	{v=0}
-141880	等米下锅	65536	141877	3	{i=2, l=0}
-141881	夜蛾	65536	22812	3	{n=0}
-141882	文化课	65536	168038	3	{n=1}
-141883	第三	122010	31532	1	null
-141884	等而下	121842	193668	1	null
-141885	等而下之	65536	141884	3	{i=0}
-141886	矢志	118838	30690	2	{v=4}
-141887	双铧	65558	21452	1	null
-141888	外县	65536	22806	3	{n=1}
-141889	等角线	65536	196170	3	{n=0}
-141890	瞎扯	65536	30606	3	{v=0}
-141891	电讯社	65536	204788	3	{n=3}
-141892	思绪	92535	24605	2	{n=2}
-141893	左脚	65536	24038	3	{n=1}
-141894	好事	78837	22909	2	{a=1, n=52}
-141895	等级分	65536	193311	3	{n=13}
-141896	等距离	65536	197205	3	{n=0}
-141897	符咒	65536	31526	3	{n=0}
-141898	科教兴国	65536	140503	3	{l=17}
-141899	检疫	103549	26816	2	{v=2, vn=5}
-141900	等速运	120745	197783	1	null
-141901	混合色	65536	141444	3	{n=0}
-141902	思维	65536	24605	3	{n=43, v=1, vn=0}
-141903	洞穴	65536	27934	3	{n=0}
-141904	弹琴	65536	24377	3	{v=0}
-141905	等速运动	65536	141900	3	{l=0}
-141906	等量齐	106643	198215	1	null
-141907	泰卢	106758	27888	1	null
-141908	沿线	65536	27839	3	{f=17, n=1}
-141909	等量齐观	65536	141906	3	{i=2}
-141910	好些	65536	22909	3	{m=1}
-141911	第一产	121776	141874	1	null
-141912	等闲之	105172	199274	1	null
-141913	失学	65536	22833	3	{v=6, vn=10}
-141914	禅寺	65536	31109	3	{n=0}
-141915	微妙	65536	24494	3	{a=8}
-141916	等闲之辈	65536	141912	3	{i=0}
-141917	窄幅	65536	31364	3	{d=1}
-141918	等闲视之	65536	157139	3	{i=0}
-141919	子程	79084	23376	1	null
-141920	施洞	65536	26045	3	{ns=0}
-141921	汽灯	65536	27773	3	{n=0}
-141922	攀钢	65536	25856	3	{n=1}
-141923	漂白	110647	28418	2	{v=0}
-141924	种子地	65536	175366	3	{n=0}
-141925	应战	89737	24212	2	{v=3, vn=0}
-141926	瞎抓	65536	30606	3	{v=0}
-141927	等额选	121900	199957	1	null
-141928	比例规	65536	166105	3	{n=0}
-141929	团音	65536	22242	3	{n=0}
-141930	等额选举	65536	141927	3	{l=0}
-141931	服务性	65536	133989	3	{b=0, n=4}
-141932	等高线	65536	200528	3	{n=0}
-141933	显示	99165	26174	2	{v=100, vn=3}
-141934	泪流	100623	27882	1	null
-141935	筋疲力	118323	146152	1	null
-141936	筋疲力尽	65536	141935	3	{i=0}
-141937	筑巢引	120976	143648	1	null
-141938	感奋	65536	24863	3	{v=0, vn=0}
-141939	外史	65536	22806	3	{n=0}
-141940	筑巢引凤	65536	141937	3	{i=0}
-141941	好人	81970	22909	2	{n=6}
-141942	筏基	65536	31567	3	{n=1}
-141943	筒子	114941	31570	2	{n=0}
-141944	外号	65536	22806	3	{n=1}
-141945	筒子楼	65536	141943	3	{n=10}
-141946	洞窟	65536	27934	3	{n=0}
-141947	失守	65536	22833	3	{v=4}
-141948	爆炒	65536	29190	3	{v=0}
-141949	筒状花	65536	147933	3	{n=0}
-141950	窃取	65536	31363	3	{v=0}
-141951	犯上	113698	29359	2	{v=0}
-141952	犯下	65536	29359	3	{v=2}
-141953	答谢辞	65536	159748	3	{n=1}
-141954	犯不	114043	29359	1	null
-141955	增进	65536	22686	3	{v=49, vn=0}
-141956	恶意	65536	24694	3	{d=0, n=1}
-141957	牵挂	65536	29301	3	{v=8, vn=3}
-141958	答非所	103577	162624	1	null
-141959	答非所问	65536	141958	3	{l=0}
-141960	生态村	65536	193050	3	{n=1}
-141961	策划	121809	31574	2	{n=0, v=13, vn=14}
-141962	积分学	65536	182012	3	{n=0}
-141963	策划人	65536	141961	3	{n=0}
-141964	策勒县	65536	142153	3	{ns=0}
-141965	策源地	65536	149255	3	{n=0}
-141966	浸种	65536	28024	3	{vn=0}
-141967	失宜	65536	22833	3	{v=0}
-141968	策略师	65536	151004	3	{n=3}
-141969	失实	65536	22833	3	{v=0, vn=0}
-141970	外向	76716	22806	2	{a=3, ad=0, an=1}
-141971	失宠	65536	22833	3	{v=0}
-141972	恶感	65536	24694	3	{n=0}
-141973	发落	65536	21457	3	{v=0}
-141974	检察院	65536	135295	3	{n=137, nt=0}
-141975	筚路	107967	31578	1	null
-141976	稍候	65536	31245	3	{v=1}
-141977	焚烧	104160	28954	2	{v=1, vn=0}
-141978	滤纸	65536	28388	3	{n=0}
-141979	筑坝	65536	31569	3	{v=1, vn=0}
-141980	筚路蓝	109449	141975	1	null
-141981	南韩	65536	21335	3	{n=0}
-141982	筚路蓝缕	65536	141980	3	{i=0}
-141983	筛子	65536	31579	3	{n=1}
-141984	常备	88969	24120	2	{b=0, v=0}
-141985	筢子	65536	31586	3	{n=0}
-141986	爆炸	112184	29190	2	{v=8, vn=4}
-141987	后空	65540	21518	1	null
-141988	瞬康	65536	30636	3	{nz=0}
-141989	筵宴	65536	31605	3	{n=0}
-141990	游泳衣	65536	180491	3	{n=0}
-141991	筷子	117947	31607	2	{n=11}
-141992	旅差	83548	26053	1	null
-141993	地摊	65536	22320	3	{n=1}
-141994	左腿	65536	24038	3	{n=3}
-141995	左膀	86779	24038	1	null
-141996	拿走	65536	25343	3	{v=1}
-141997	外听	65578	22806	1	null
-141998	敬烟	65536	25964	3	{v=0}
-141999	猝死	65536	29469	3	{v=0}
-142000	第三世	111746	141883	1	null
-142001	增选	65536	22686	3	{v=1, vn=0}
-142002	筷子巷	65536	141991	3	{ns=2}
-142003	沾花	103769	27838	1	null
-142004	折叠	95159	25240	2	{v=1, vn=0}
-142005	筹备会	65536	146873	3	{n=0}
-142006	爪牙	65536	29226	3	{n=0}
-142007	科尔特	65536	186870	3	{n=0}
-142008	毫不费	105794	132648	1	null
-142009	失密	65536	22833	3	{v=0}
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-142014	第二	121649	31532	2	{m=376}
-142015	签到簿	65536	146340	3	{n=0}
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-142017	泪涔	100960	27882	1	null
-142018	签字权	65536	148683	3	{n=2}
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-142021	多半	65536	22810	3	{d=6, m=1}
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-142090	简单化	65536	180830	3	{v=0, vn=0}
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-142100	流水线	65536	179983	3	{n=2}
-142101	箍桶	120822	31629	1	null
-142102	箍桶匠	65536	142101	3	{n=0}
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-142126	箜篌	65536	31644	3	{n=0}
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-142129	玄妙	65536	29572	3	{a=3}
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-142330	类新星	65536	157565	3	{n=0}
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-142332	界标	65536	30028	3	{n=2}
-142333	官府	65536	23448	3	{n=1}
-142334	易爆	91746	26131	2	{a=2, b=0}
-142335	类木行	116194	157941	1	null
-142336	敬爱	65536	25964	3	{v=10}
-142337	类木行星	65536	142335	3	{l=0}
-142338	碳塑	65536	30899	3	{n=0}
-142339	类毒素	65536	159135	3	{n=0}
-142340	攀附	65536	25856	3	{v=1}
-142341	水电费	65536	190961	3	{n=0}
-142342	师级	65536	24072	3	{b=1}
-142343	砧板	65536	30759	3	{n=0}
-142344	类比性	65536	159137	3	{n=0}
-142345	类风湿	65536	170651	3	{n=0}
-142346	籼稻	65536	31868	3	{n=0}
-142347	四级	65536	22235	3	{b=1}
-142348	笼子	65536	31548	3	{n=3}
-142349	粉乎乎	65536	180526	3	{z=0}
-142350	火电站	65536	193444	3	{n=0}
-142351	王家田	65536	166595	3	{ns=0}
-142352	粉代万	118179	180675	1	null
-142353	籽儿	65536	31869	3	{n=0}
-142354	台长	65536	21488	3	{n=2}
-142355	抢种	65536	25250	3	{vn=0}
-142356	拼音	92847	25340	2	{n=1}
-142357	海军蓝	65536	184209	3	{n=0}
-142358	底蕴	65536	24213	3	{n=5}
-142359	粉代万年	103625	142352	1	null
-142360	地方	81942	22320	2	{b=2, n=452}
-142361	四纵	65536	22235	3	{j=0}
-142362	恶报	65536	24694	3	{n=0}
-142363	粉代万年青	65536	142359	3	{n=1}
-142364	粉墨登	120037	183176	1	null
-142365	眼镜盒	65536	200812	3	{n=0}
-142366	图鲁	75664	22270	1	null
-142367	粉墨登场	65536	142364	3	{i=1}
-142368	粉妆玉	112639	183398	1	null
-142369	粉妆玉琢	65536	142368	3	{i=0}
-142370	秀丽	65536	31168	3	{a=7}
-142371	粉扑扑	65536	185649	3	{z=0}
-142372	申扎	65536	30003	3	{ns=0}
-142373	护林	65536	25252	3	{v=0, vn=0}
-142374	女娃	65536	22899	3	{n=0}
-142375	夏装	65536	22799	3	{n=1}
-142376	杨梅	65536	26472	3	{n=0, nr=1}
-142377	牲畜	65536	29298	3	{n=13}
-142378	杀人	103294	26432	2	{v=2, vn=1}
-142379	文化路	65536	168038	3	{ns=1}
-142380	琼浆	105629	29756	2	{n=2}
-142381	复用	65536	22797	3	{vn=3}
-142382	流星赶	103191	178426	1	null
-142383	粉末状	65536	186891	3	{n=0}
-142384	殿试	65536	27583	3	{v=0}
-142385	废置	65536	24223	3	{v=0}
-142386	粉煤灰	65536	189508	3	{n=0}
-142387	粉碎机	65536	191342	3	{n=0}
-142388	粉红色	65536	192898	3	{n=1}
-142389	粉蒸肉	65536	194456	3	{n=0}
-142390	粉身碎	102799	197003	1	null
-142391	粉身碎骨	65536	142390	3	{i=1}
-142392	土灶	65536	22303	3	{n=1}
-142393	粉饰太	118217	199760	1	null
-142394	张罗	65536	24352	3	{nr=3, v=1}
-142395	电视屏	65536	204299	3	{n=1}
-142396	粉饰太平	65536	142393	3	{i=0}
-142397	粒子束	65536	142398	3	{n=0}
-142398	粒子	115934	31890	2	{n=4}
-142399	粒细胞	65536	151476	3	{n=1}
-142400	粗制品	65536	186815	3	{n=0}
-142401	粗制滥造	65536	149092	3	{i=3}
-142402	生发油	65536	189930	3	{n=0}
-142403	多哈	65536	22810	3	{ns=0}
-142404	策反	65536	31574	3	{v=0}
-142405	滑动轴	106184	146892	1	null
-142406	粗加工	65536	186921	3	{b=1, n=0, vn=0}
-142407	粗嗓子	65536	187740	3	{n=0}
-142408	粗墩墩	65536	188466	3	{z=0}
-142409	粗声粗	114742	188537	1	null
-142410	粗声粗气	65536	142409	3	{l=0}
-142411	粗心大	117568	190284	1	null
-142412	底薪	65536	24213	3	{n=0}
-142413	暖空	93971	26262	1	null
-142414	暮鼓	95500	26286	2	{n=1}
-142415	粗心大意	65536	142411	3	{i=0}
-142416	粗放型	65536	191687	3	{b=6, n=2}
-142417	粗放经营	65536	152468	3	{l=5}
-142418	粗枝大	120925	192294	1	null
-142419	粗枝大叶	65536	142418	3	{i=0}
-142420	满堂红	65536	171355	3	{l=0}
-142421	女娲	65536	22899	3	{n=1}
-142422	地旷	76879	22320	1	null
-142423	土炕	65536	22303	3	{n=2}
-142424	粗滤器	65536	194157	3	{n=0}
-142425	粗毛皮	65536	193380	3	{n=0}
-142426	粗线条	65536	198216	3	{n=0}
-142427	滞纳	94152	28382	1	null
-142428	瞬息	118797	30636	2	{t=0}
-142429	琼海	111144	29756	2	{ns=0}
-142430	界桩	65536	30028	3	{n=0}
-142431	快手	87702	24555	2	{n=0}
-142432	多哥	65536	22810	3	{ns=1}
-142433	秃头	65536	31171	3	{n=0}
-142434	粗脂肪	65536	198795	3	{n=0}
-142435	粗腿病	65536	198920	3	{n=0}
-142436	石龙子	65536	211390	3	{n=0}
-142437	粗花呢	65536	199226	3	{n=0}
-142438	粗茶淡	103164	199359	1	null
-142439	杀价	65536	26432	3	{v=1, vn=0}
-142440	禅师	65536	31109	3	{n=0}
-142441	粗茶淡饭	65536	142438	3	{i=0}
-142442	单面	65536	21333	3	{b=1}
-142443	粗衣淡	103309	200684	1	null
-142444	粗衣淡食	65536	142443	3	{i=0}
-142445	注册表	65536	141548	3	{n=0}
-142446	狐狸精	65536	147843	3	{n=0}
-142447	甬江	65536	29996	3	{ns=1}
-142448	土炮	65536	22303	3	{n=0}
-142449	恩赐	65536	24681	3	{v=0, vn=2}
-142450	粗里粗	114783	203093	1	null
-142451	粗里粗气	65536	142450	3	{z=0}
-142452	杜衡	65536	26460	3	{n=0}
-142453	粗饲料	65536	205051	3	{n=0}
-142454	矮墙	65536	30702	3	{n=0}
-142455	增量	65536	22686	3	{n=14}
-142456	粗麻布	65536	206404	3	{n=0}
-142457	彩电	65536	24425	3	{n=50}
-142458	救国	98027	25937	2	{v=3, vn=6}
-142459	申报	114610	30003	2	{v=15, vn=4}
-142460	笋尖	65536	31499	3	{n=0}
-142461	粘乎乎	65536	143076	3	{z=0}
-142462	粘合剂	65536	144542	3	{n=0}
-142463	彩画	65536	24425	3	{n=0}
-142464	扬眉	93480	25196	1	null
-142465	粘土矿	65536	145333	3	{n=2}
-142466	粘粘巴巴	65536	142497	3	{z=0}
-142467	斜纹	94917	26012	2	{n=0}
-142468	服务所	65536	133989	3	{n=1}
-142469	粘粘搭搭	65536	144090	3	{z=0}
-142470	矮墩	116311	30702	1	null
-142471	碳酸盐	65536	156969	3	{n=0}
-142472	粘粘渍渍	65536	146618	3	{z=0}
-142473	斜线	97490	26012	2	{n=0}
-142474	好像	65536	22909	3	{d=0, p=0, v=19}
-142475	粘粘糊糊	65536	150391	3	{z=0}
-142476	箱体	65536	31665	3	{n=0}
-142477	粘糊糊	65536	154976	3	{z=0}
-142478	粟子	115838	31903	2	{n=0}
-142479	粟子树	65536	142478	3	{n=0}
-142480	粤方言	65536	149043	3	{n=0}
-142481	杨森	65536	26472	3	{nz=0}
-142482	督学	65536	30563	3	{v=0, vn=0}
-142483	粤菜馆	65536	156758	3	{n=0}
-142484	杀伤	102130	26432	2	{v=0, vn=1}
-142485	沪西	65536	27818	3	{ns=0}
-142486	桃花鱼	65536	144833	3	{n=0}
-142487	女婴	65536	22899	3	{n=4}
-142488	百般无	114548	195077	1	null
-142489	篆体	65536	31686	3	{n=0}
-142490	祝愿	65536	31069	3	{v=42, vn=27}
-142491	粥少	121783	31909	1	null
-142492	榛鸡	65536	27035	3	{n=0}
-142493	护栏	65536	25252	3	{n=3}
-142494	粥少僧	119689	142491	1	null
-142495	护树	65536	25252	3	{v=4, vn=0}
-142496	杳无音	103316	126906	1	null
-142497	粘粘巴	118414	154926	1	null
-142498	女婿	65536	22899	3	{n=3}
-142499	粥少僧多	65536	142494	3	{i=0}
-142500	粪箕子	65536	154133	3	{n=0}
-142501	粮棉油	65536	167728	3	{j=2, n=0}
-142502	头班	65887	22836	1	null
-142503	粮食作物	65536	142504	3	{l=0}
-142504	粮食作	113214	180038	1	null
-142505	粲然	121019	31922	2	{a=0, z=1}
-142506	粲然可	107241	142505	1	null
-142507	粲然可观	65536	142506	3	{i=1}
-142508	粼粼	65536	31932	3	{z=0}
-142509	涂脂	104844	28034	1	null
-142510	桥本	65536	26725	3	{nr=33}
-142511	护校	65536	25252	3	{j=0, n=0}
-142512	粳稻	65536	31923	3	{n=1}
-142513	洋洋自	104753	182268	1	null
-142514	粽子	65536	31933	3	{n=2}
-142515	精兵强	118962	194112	1	null
-142516	国法	65536	22269	3	{n=4}
-142517	爷爷	65536	29239	3	{n=41}
-142518	合计	65536	21512	3	{v=4, vn=0}
-142519	合订	66761	21512	1	null
-142520	精兵强将	65536	142515	3	{i=0}
-142521	快报	65536	24555	3	{n=4}
-142522	双面	65536	21452	3	{b=2}
-142523	滞缓	65536	28382	3	{a=0, v=1}
-142524	头球	65536	22836	3	{n=0}
-142525	盆栽	65536	30406	3	{n=2, vn=0}
-142526	精兵简政	65536	149753	3	{i=2}
-142527	感官	65536	24863	3	{n=1}
-142528	漂白粉	65536	141923	3	{n=0}
-142529	精制品	65536	194305	3	{n=0}
-142530	精力充	114731	194406	1	null
-142531	合议	72133	21512	1	null
-142532	碱土	102317	30897	2	{n=0}
-142533	景泰	87510	26223	2	{n=0, ns=1, t=0}
-142534	精力充沛	65536	142530	3	{l=0}
-142535	精加工	65536	194411	3	{n=0}
-142536	精卫填	114515	194614	1	null
-142537	台阶	65536	21488	3	{n=32}
-142538	精卫填海	65536	142536	3	{i=0}
-142539	精囊炎	65536	195477	3	{n=0}
-142540	矢口抵	102635	138826	1	null
-142541	精工细	122226	197296	1	null
-142542	精工细作	65536	142541	3	{l=1}
-142543	国泰	68761	22269	2	{nz=0}
-142544	精品化	65536	194956	3	{v=0}
-142545	微小	65536	24494	3	{a=5}
-142546	摆正	65536	25670	3	{v=2}
-142547	精彩纷	120975	197684	1	null
-142548	学堂	65536	23398	3	{n=1}
-142549	碱地	65536	30897	3	{n=0}
-142550	科学城	65536	186696	3	{n=0}
-142551	精彩纷呈	65536	142547	3	{i=4}
-142552	废耕	87567	24223	1	null
-142553	神学家	65536	197483	3	{n=0}
-142554	根冠	65536	26681	3	{n=0}
-142555	精密度	65536	196753	3	{n=0}
-142556	承情	65536	25215	3	{v=0}
-142557	精彩绝伦	65536	142585	3	{i=0}
-142558	精打细	110920	198430	1	null
-142559	精打细算	65536	142558	3	{i=3}
-142560	精明强干	65536	142563	3	{i=0}
-142561	精明能干	65536	151206	3	{i=0}
-142562	目不忍	107337	156302	1	null
-142563	精明强	118382	199385	1	null
-142564	精梳纱	65536	200062	3	{n=0}
-142565	精湛不	111616	201510	1	null
-142566	子粒	65536	23376	3	{n=0}
-142567	异教	85877	24322	2	{n=0}
-142568	精湛不磨	65536	142565	3	{l=0}
-142569	涤荡	65536	28068	3	{v=1}
-142570	步炮	65536	27493	3	{j=0}
-142571	字里	68488	23383	1	null
-142572	精炼炉	65536	202119	3	{n=0}
-142573	精疲力	118967	203389	1	null
-142574	定下	65536	23450	3	{v=2}
-142575	精白米	65536	203592	3	{n=0}
-142576	男子气	65536	165656	3	{n=0}
-142577	玄孙	65536	29572	3	{n=0}
-142578	可贵	65536	21487	3	{a=11, an=1}
-142579	研究室	65536	150607	3	{n=9}
-142580	精疲力尽	65536	142573	3	{i=0}
-142581	流动车	65536	173443	3	{n=2}
-142582	精益求	110654	203669	1	null
-142583	可贺	65536	21487	3	{a=1}
-142584	富锦	82111	23500	2	{n=0}
-142585	精彩绝	122295	197684	1	null
-142586	烈日	108271	28872	2	{n=4}
-142587	单音	65680	21333	1	null
-142588	精益求精	65536	142582	3	{i=5}
-142589	敬献	65536	25964	3	{v=4}
-142590	玄学	65536	29572	3	{n=0}
-142591	景洪	65536	26223	3	{ns=0}
-142592	汽油费	65536	140971	3	{n=2}
-142593	毫瓦	65536	27627	3	{q=2}
-142594	精研细	111643	203999	1	null
-142595	精研细磨	65536	142594	3	{l=1}
-142596	精确度	65536	204089	3	{n=0}
-142597	笼屉	65536	31548	3	{n=0}
-142598	精神抖擞	65536	143303	3	{i=1}
-142599	监察权	65536	159387	3	{n=0}
-142600	精神损失费	65536	142602	3	{n=1}
-142601	玛湖	65536	29595	3	{ns=0}
-142602	精神损失	106447	143504	1	null
-142603	督察	65536	30563	3	{n=0, v=0, vn=1}
-142604	物理疗	105907	163579	1	null
-142605	拖累	65536	25302	3	{v=1, vn=0}
-142606	湘江	65536	28248	3	{ns=1}
-142607	精神文明	65536	144056	3	{n=220}
-142608	定中	72868	23450	1	null
-142609	精神焕发	65536	147014	3	{i=0}
-142610	精神病院	65536	148214	3	{n=1}
-142611	征求	65536	24449	3	{v=10, vn=1}
-142612	棱锥	103690	26865	2	{n=0}
-142613	异文	65536	24322	3	{n=0}
-142614	同舟	72789	21516	1	null
-142615	德比	85615	24503	1	null
-142616	可赛	65536	21487	3	{nz=0}
-142617	圣药	65536	22307	3	{n=0}
-142618	精神百倍	65536	148399	3	{l=0}
-142619	精神衰弱	65536	152993	3	{l=0}
-142620	精算师	65536	204898	3	{n=4}
-142621	定为	65536	23450	3	{v=1}
-142622	筵席	65536	31605	3	{n=1}
-142623	杨楼	103651	26472	2	{ns=0}
-142624	合谋	65536	21512	3	{v=0, vd=0}
-142625	笃厚	65536	31491	3	{a=0}
-142626	精精致	109363	205193	1	null
-142627	怪论	65536	24618	3	{n=0}
-142628	海运费	65536	200134	3	{n=0}
-142629	男子汉	65536	165656	3	{n=2}
-142630	好八	65843	22909	1	null
-142631	精精致致	65536	142626	3	{z=0}
-142632	督导	65536	30563	3	{v=0, vn=6}
-142633	精美绝	122372	205913	1	null
-142634	精美绝伦	65536	142633	3	{i=0}
-142635	失常	65536	22833	3	{a=0}
-142636	定义	82846	23450	2	{n=3, v=1}
-142637	精耕细	122323	206048	1	null
-142638	私房钱	65536	191716	3	{n=5}
-142639	精耕细作	65536	142637	3	{i=0}
-142640	同船	65536	21516	3	{n=0}
-142641	精诚团	110175	209061	1	null
-142642	精诚团结	65536	142641	3	{i=0}
-142643	微山	90068	24494	1	null
-142644	歧路	106137	27495	2	{n=0}
-142645	桑戈	88999	26705	1	null
-142646	精选品	65536	210132	3	{n=0}
-142647	精装书	65536	208272	3	{n=0}
-142648	精雕细	121603	211872	1	null
-142649	精饲料	65536	212541	3	{n=0}
-142650	犯罪率	65536	154591	3	{n=2}
-142651	常客	65536	24120	3	{n=0}
-142652	火烧眉	104657	192342	1	null
-142653	硝化甘	111600	139480	1	null
-142654	精雕细刻	65536	142648	3	{i=2}
-142655	糅合	65536	31941	3	{v=0}
-142656	奇葩	65536	22855	3	{n=1}
-142657	惊动	65536	24778	3	{v=3}
-142658	糊墙纸	65536	143981	3	{n=0}
-142659	晚场	65536	26202	3	{n=0}
-142660	北麓	65536	21271	3	{f=0}
-142661	商誉	65536	21830	3	{j=0, n=1}
-142662	怪话	65536	24618	3	{n=0}
-142663	怪诞	92722	24618	2	{a=0, an=0}
-142664	染缸	65536	26579	3	{n=0}
-142665	基里	73625	22522	1	null
-142666	糊涂一时	65536	142681	3	{i=1}
-142667	棱镜	65536	26865	3	{n=0}
-142668	糊里糊	114635	158624	1	null
-142669	糊里糊涂	65536	142668	3	{z=0}
-142670	基金	77525	22522	2	{n=174}
-142671	子系	70819	23376	1	null
-142672	学塾	65536	23398	3	{n=0}
-142673	生理盐	107957	198175	1	null
-142674	知识性	65536	178036	3	{n=4}
-142675	斯科	92970	26031	1	null
-142676	糌粑	65536	31948	3	{n=2}
-142677	看守所	65536	171593	3	{n=0}
-142678	歪路	65536	27498	3	{n=0}
-142679	名目	65542	21517	2	{n=3}
-142680	精神性	65536	204329	3	{n=2}
-142681	糊涂一	116564	149334	1	null
-142682	糍粑	65536	31949	3	{n=1}
-142683	糖尿病	65536	172696	3	{n=8}
-142684	弹着	81875	24377	1	null
-142685	异族	65536	24322	3	{n=1}
-142686	毫不迟	96846	132648	1	null
-142687	糕干	65536	31957	3	{n=0}
-142688	滇红	65536	28359	3	{n=0}
-142689	外因	65813	22806	2	{n=0}
-142690	糖果店	65536	175605	3	{n=0}
-142691	糖萝卜	65536	182902	3	{n=0}
-142692	梅花鹿	65536	148767	3	{n=0}
-142693	喜钱	65536	21916	3	{n=0}
-142694	瑞星	65536	29790	3	{nz=0}
-142695	看家狗	65536	171639	3	{n=0}
-142696	反证	65584	21453	2	{v=0}
-142697	糖葫芦	65536	182980	3	{n=4}
-142698	糖衣炮	118324	183996	1	null
-142699	撒种	65536	25746	3	{v=0}
-142700	怪调	65536	24618	3	{n=0}
-142701	糖衣炮弹	65536	142698	3	{l=0}
-142702	糖醋鱼	65536	186340	3	{n=0}
-142703	糙米饭	65536	142706	3	{n=0}
-142704	反诉	65536	21453	3	{v=0, vn=0}
-142705	定于	65536	23450	3	{v=18}
-142706	糙米	103426	31961	2	{n=0}
-142707	女子	68816	22899	2	{b=0, n=81}
-142708	糜烂	65536	31964	3	{v=0, vn=0}
-142709	外围	65536	22806	3	{f=4, s=1}
-142710	糟糠之	119740	150297	1	null
-142711	糟糠之妻	65536	142710	3	{i=0}
-142712	湘泉	65536	28248	3	{nz=0}
-142713	发蜡	65536	21457	3	{n=0}
-142714	糠油	65536	31968	3	{n=0}
-142715	糨糊	65536	31976	3	{n=0}
-142716	糯米纸	65536	143295	3	{n=1}
-142717	破坏性	65536	185800	3	{a=1, b=1, n=21, v=1}
-142718	外国	78985	22806	2	{n=145, s=1}
-142719	反诘	65536	21453	3	{v=0}
-142720	种植园	120435	178883	2	{n=0}
-142721	单项	66531	21333	2	{n=12}
-142722	系主任	65536	142759	3	{n=1}
-142723	系统工程	65536	145518	3	{l=21}
-142724	反话	65536	21453	3	{n=0}
-142725	系谱学	65536	158621	3	{n=0}
-142726	紊乱	65536	32010	3	{a=1, an=0}
-142727	糯稻	65536	31983	3	{n=0}
-142728	确乎	119559	30830	2	{d=1}
-142729	外圈	65536	22806	3	{n=0}
-142730	并称	65536	24182	3	{v=0}
-142731	快捷	74075	24555	2	{a=1, z=11}
-142732	女孩	77893	22899	2	{n=14}
-142733	爵王	65536	29237	3	{nz=0}
-142734	素不相	106954	172384	1	null
-142735	电动泵	65536	190189	3	{n=0}
-142736	素不相识	65536	142734	3	{i=5}
-142737	桥栏	65536	26725	3	{n=0}
-142738	消毒药	65536	180397	3	{n=0}
-142739	父爱	65536	29238	3	{n=0}
-142740	反语	65536	21453	3	{n=0}
-142741	定亲	65536	23450	3	{v=0}
-142742	益智	65536	30410	3	{v=1}
-142743	土燕	65536	22303	3	{n=0}
-142744	票贩子	65536	166734	3	{n=9}
-142745	应敌	65536	24212	3	{v=0}
-142746	抢答	65536	25250	3	{v=0}
-142747	好几	65536	22909	3	{m=16}
-142748	圣菲	68962	22307	1	null
-142749	溜溜	111276	28316	1	null
-142750	素什锦	65536	172563	3	{n=0}
-142751	系统化	65536	155211	3	{v=2, vd=0, vn=0}
-142752	素昧平	112772	178554	1	null
-142753	沟通	65536	27807	3	{v=30, vn=9}
-142754	地权	65536	22320	3	{n=0}
-142755	素昧平生	65536	142752	3	{i=0}
-142756	生成物	65536	193577	3	{n=0}
-142757	素食者	65536	191538	3	{n=0}
-142758	烈暑	65536	28872	3	{n=0}
-142759	系主	122503	31995	1	null
-142760	素馨花	65536	191739	3	{n=0}
-142761	外在	74518	22806	2	{b=9}
-142762	索乔海	105987	144360	1	null
-142763	师职	65536	24072	3	{n=1}
-142764	瘦子	65536	30246	3	{n=0}
-142765	糙粮	65536	31961	3	{n=0}
-142766	示威	107050	31034	2	{v=4, vn=4}
-142767	多嘴	76534	22810	2	{v=0}
-142768	布托	65536	24067	3	{nr=0}
-142769	外地	78987	22806	2	{n=1, s=36}
-142770	折回	65536	25240	3	{v=0}
-142771	索乔海辰	65536	142762	3	{nz=0}
-142772	索然无	121154	153290	1	null
-142773	索然无味	65536	142772	3	{i=0}
-142774	索非亚	65536	163058	3	{ns=1, nz=1}
-142775	糊口	65536	31946	3	{v=1, vn=0}
-142776	四联	74513	22235	1	null
-142777	索韦托	65536	163194	3	{ns=0}
-142778	次之	65536	27425	3	{v=1}
-142779	外场	65536	22806	3	{n=1}
-142780	索马里	65536	163840	3	{ns=2}
-142781	学士	65536	23398	3	{n=0}
-142782	紧凑型	65536	157569	3	{b=0}
-142783	社科联	65536	162709	3	{j=1}
-142784	紧压茶	65536	158011	3	{n=0}
-142785	枯燥	65536	26543	3	{a=2, ad=0, an=1}
-142786	紧密层	65536	160118	3	{b=1, n=0}
-142787	紧巴巴	65536	160676	3	{z=1}
-142788	紧张症	65536	160976	3	{n=1}
-142789	系列剧	65536	143747	3	{n=3}
-142790	景深	65536	26223	3	{n=0}
-142791	幽谷	65536	24189	3	{n=1}
-142792	紧急状态	65536	151965	3	{l=3}
-142793	笨嘴	116445	31528	1	null
-142794	怪象	65536	24618	3	{n=0}
-142795	紧急令	65536	161237	3	{n=2}
-142796	筏子	65536	31567	3	{n=0}
-142797	怀药	65536	24576	3	{n=1}
-142798	淤血	65536	28132	3	{n=0}
-142799	灶神	65536	28790	3	{n=0}
-142800	效验	65536	25928	3	{n=0}
-142801	短统靴	65536	198523	3	{n=0}
-142802	溜滑	65536	28316	3	{z=0}
-142803	紧接着	65536	162133	3	{c=6}
-142804	箭不	107819	31661	1	null
-142805	复盐	65536	22797	3	{n=0}
-142806	漫无际	103750	143175	1	null
-142807	用不着	65536	181788	3	{l=6}
-142808	头生	65536	22836	3	{n=0}
-142809	女家	65536	22899	3	{n=0}
-142810	定价	70429	23450	2	{n=18, v=11, vn=38}
-142811	泳衣	65536	27891	3	{n=1}
-142812	建成	65536	24314	3	{v=169, vn=5}
-142813	同苦	72795	21516	1	null
-142814	地板	75988	22320	2	{n=3}
-142815	盈怀	116853	30408	2	{v=1}
-142816	地极	65536	22320	3	{n=0}
-142817	漂移	65536	28418	3	{v=0}
-142818	殉难	65536	27529	3	{v=0}
-142819	猫熊	65536	29483	3	{n=0}
-142820	润资	65536	28070	3	{n=0}
-142821	渡船	65536	28193	3	{n=0}
-142822	紧梆梆	65536	163382	3	{z=0}
-142823	熔炉	65536	29076	3	{n=1}
-142824	意绪	65536	24847	3	{n=0}
-142825	瞩目	65536	30633	3	{v=13, vn=2}
-142826	紧箍咒	65536	168253	3	{n=0}
-142827	桥桩	65536	26725	3	{n=0}
-142828	服用	65536	26381	3	{v=14}
-142829	紧紧张	118479	168663	1	null
-142830	泰国	90921	27888	2	{ns=183}
-142831	紧紧张张	65536	142829	3	{z=0}
-142832	紧绷绷	65536	169127	3	{z=0}
-142833	紧缩性	65536	169177	3	{n=8}
-142834	紧要关	120002	171825	1	null
-142835	竞买	121295	31454	2	{v=3, vn=1}
-142836	少见	84388	23569	2	{a=9}
-142837	台面	65536	21488	3	{n=0}
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-142842	浑然一色	65536	129754	3	{i=0}
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-142844	糟心	65536	31967	3	{a=0}
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-142846	紧追不舍	65536	142841	3	{i=0}
-142847	紧锣密	102125	174803	1	null
-142848	紧锣密鼓	65536	142847	3	{i=6}
-142849	北齐	65536	21271	3	{t=0}
-142850	紫丁香	65536	184864	3	{n=0}
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-142852	紫不溜	122855	184876	1	null
-142853	富阳	82122	23500	2	{ns=0}
-142854	四肢	65536	22235	3	{n=3}
-142855	实在	69752	23454	2	{a=7, an=0, d=27}
-142856	篡党	65536	31713	3	{v=0}
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-142858	常山	87517	24120	2	{ns=0}
-142859	建房	82636	24314	2	{v=21, vn=14}
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-142862	紫乌乌	65536	184939	3	{z=0}
-142863	实地	69680	23454	2	{b=0, d=9, n=3, s=1}
-142864	紫云英	65536	185008	3	{n=0}
-142865	紫光阁	65536	185704	3	{ns=4}
-142866	紫外光	65536	187701	3	{n=0}
-142867	柔美	65536	26580	3	{a=1, an=0}
-142868	紫巍巍	65536	188908	3	{z=0}
-142869	古迹	65536	21476	3	{n=4}
-142870	紫水晶	65536	192595	3	{n=0}
-142871	熔点	65536	29076	3	{n=0}
-142872	口齿	65536	21475	3	{n=0}
-142873	紫河车	65536	192722	3	{n=0}
-142874	熔炼	65536	29076	3	{v=1, vn=0}
-142875	禀帖	65536	31104	3	{n=0}
-142876	康铜	65536	24247	3	{n=0}
-142877	土牛	65536	22303	3	{n=0}
-142878	紫玉米	65536	194472	3	{n=0}
-142879	欺行	87206	27450	1	null
-142880	紫石英	65536	195602	3	{n=0}
-142881	布拉	87297	24067	1	null
-142882	砖块	65536	30742	3	{n=1}
-142883	禅心	65536	31109	3	{n=0}
-142884	礼拜四	65536	165576	3	{t=0}
-142885	紫砂壶	65536	195617	3	{n=0}
-142886	旁系	99530	26049	1	null
-142887	电话本	65536	204834	3	{n=0}
-142888	得救	65536	24471	3	{v=1}
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-142890	掌门	96641	25484	1	null
-142891	土物	65536	22303	3	{n=0}
-142892	桑拿	96805	26705	2	{n=1}
-142893	枪乌	87949	26538	1	null
-142894	布拖	87309	24067	1	null
-142895	牧羊犬	65536	162130	3	{n=0}
-142896	定位	85148	23450	2	{n=10, v=10, vd=0, vn=17}
-142897	淫糜	65536	28139	3	{a=0}
-142898	狡狯	65536	29409	3	{a=0}
-142899	少言	83687	23569	1	null
-142900	昏聩	65536	26127	3	{a=0}
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-142905	楚楚静	93861	131720	1	null
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-142908	紫禁城	65536	196000	3	{n=1, ns=0, nz=1}
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-142910	惊厥	65536	24778	3	{v=0}
-142911	粪便	65536	31914	3	{n=3}
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-142913	复眼	65536	22797	3	{n=0}
-142914	籼米	65536	31868	3	{n=0}
-142915	应时	77033	24212	1	null
-142916	紫穗槐	65536	196214	3	{n=0}
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-142918	失当	65536	22833	3	{v=0}
-142919	得数	65536	24471	3	{n=0}
-142920	知名度	65536	163771	3	{n=16}
-142921	盲人瞎	98489	144379	1	null
-142922	北龙	65536	21271	3	{ns=0}
-142923	紫竹园	65536	196376	3	{ns=0}
-142924	密致	65536	23494	3	{a=0}
-142925	牡牛	65536	29281	3	{n=0}
-142926	移山填	112767	149181	1	null
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-142928	混委	110348	28151	1	null
-142929	离合悲	112868	183960	1	null
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-142935	泰坦	105424	27888	1	null
-142936	济州道	65536	132459	3	{ns=0}
-142937	合资	72950	21512	2	{b=0, v=17, vd=0, vn=8}
-142938	猜测	65536	29468	3	{v=0, vn=2}
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-142940	精密性	65536	196753	3	{n=0}
-142941	商计	65536	21830	3	{v=0}
-142942	科学奖	65536	186696	3	{n=4}
-142943	思茅	65536	24605	3	{ns=0}
-142944	外域	65536	22806	3	{n=0}
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-142946	紫花地	122982	198352	1	null
-142947	好动	65536	22909	3	{a=4}
-142948	商讨	65536	21830	3	{v=20, vn=1}
-142949	并立	65536	24182	3	{v=0}
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-142952	滞胀	65536	28382	3	{v=2, vn=2}
-142953	紫花苜蓿	65536	154126	3	{l=0}
-142954	商议	65536	21830	3	{v=0}
-142955	瘦小	65536	30246	3	{a=3}
-142956	巴不	83924	24052	1	null
-142957	焖饭	65536	28950	3	{v=0}
-142958	定例	65536	23450	3	{n=0}
-142959	古道	65547	21476	2	{n=1}
-142960	紫茉莉	65536	198440	3	{n=0}
-142961	紫荆花	65536	198501	3	{n=1}
-142962	紫草茸	65536	198504	3	{n=0}
-142963	紫药水	65536	198542	3	{n=0}
-142964	系列化	65536	143747	3	{v=3, vd=0, vn=2}
-142965	头疼	65536	22836	3	{a=2}
-142966	紫菜苔	65536	198651	3	{n=0}
-142967	科技司	65536	188514	3	{n=1}
-142968	多国	78504	22810	1	null
-142969	紫蓝蓝	65536	198908	3	{z=1}
-142970	竞价	65536	31454	3	{v=1, vn=1}
-142971	巴东	86957	24052	2	{ns=0}
-142972	紫貂皮	65536	200865	3	{n=0}
-142973	秃子	65536	31171	3	{n=0}
-142974	四脚	75427	22235	1	null
-142975	累加器	65536	152304	3	{n=0}
-142976	异曲	88828	24322	1	null
-142977	狡猾	109590	29409	2	{a=0, an=0}
-142978	累教不	117071	157097	1	null
-142979	招事	65536	25307	3	{v=0}
-142980	惊叫	65536	24778	3	{v=1, vn=0}
-142981	精确性	65536	204089	3	{n=1}
-142982	紫金山	65536	202224	3	{ns=0}
-142983	簇新	65536	31751	3	{z=0}
-142984	累教不改	65536	142978	3	{l=0}
-142985	液晶	65536	28082	3	{n=3}
-142986	情不	80028	24773	1	null
-142987	累月经	118815	157528	1	null
-142988	巴中	84333	24052	2	{ns=1}
-142989	稍后	65536	31245	3	{d=3, f=0}
-142990	橘黄	65536	27224	3	{b=0}
-142991	磁力计	65536	180378	3	{n=2}
-142992	旱灾	65536	26097	3	{n=2}
-142993	滤芯	65536	28388	3	{n=0}
-142994	惊叹	91869	24778	2	{v=7, vn=2}
-142995	累月经年	65536	142987	3	{i=1}
-142996	头痛	67988	22836	2	{a=6, an=1}
-142997	洞纺	65536	27934	3	{j=0}
-142998	粤东	65536	31908	3	{ns=0}
-142999	地核	65536	22320	3	{n=0}
-143000	富集	65536	23500	3	{v=1, vn=1}
-143001	累死累	115041	158667	1	null
-143002	情丝	65536	24773	3	{n=1}
-143003	托莱	92102	25176	1	null
-143004	累死累活	65536	143001	3	{l=0}
-143005	累牍连	111321	160413	1	null
-143006	橙黄	92276	27225	1	null
-143007	瑶民	65536	29814	3	{n=2}
-143008	累牍连篇	65536	143005	3	{i=0}
-143009	累西腓	118953	166351	2	{ns=0}
-143010	望洋	101826	26395	1	null
-143011	炭窑	65536	28845	3	{n=0}
-143012	发行	72681	21457	2	{v=86, vn=38}
-143013	概要	65536	27010	3	{n=0}
-143014	碰碰车	65536	152099	3	{n=1}
-143015	欧洲	101507	27431	2	{ns=271}
-143016	批转	65536	25209	3	{v=0}
-143017	故弄	88563	25925	1	null
-143018	洞经	65536	27934	3	{j=0}
-143019	累西腓市	65536	143009	3	{ns=0}
-143020	惊吓	65536	24778	3	{v=1, vn=1}
-143021	稳稳当	116538	161267	1	null
-143022	累见不	102932	166417	1	null
-143023	喜闻	75227	21916	1	null
-143024	累见不鲜	65536	143022	3	{l=0}
-143025	滴水穿	100944	144505	1	null
-143026	累计额	65536	166897	3	{n=2}
-143027	累进税	65536	167979	3	{n=0}
-143028	絮絮叨	121550	153677	1	null
-143029	疾步	65536	30142	3	{d=0}
-143030	絮絮叨叨	65536	143028	3	{z=0}
-143031	繁体字	65536	159496	3	{n=2}
-143032	甲状腺	107124	181067	2	{n=0}
-143033	杀光	65536	26432	3	{v=1}
-143034	繁分数	65536	160187	3	{n=0}
-143035	水力部	65536	182103	3	{n=0}
-143036	应景	74018	24212	2	{vn=3}
-143037	步犁	65536	27493	3	{n=0}
-143038	箱内	65536	31665	3	{f=0, s=2}
-143039	睹物思	118545	138692	1	null
-143040	发表	65536	21457	3	{v=298, vn=3}
-143041	繁峙县	65536	162958	3	{ns=0}
-143042	目录柜	65536	160726	3	{n=0}
-143043	稚拙	65536	31258	3	{a=0}
-143044	商谈	65536	21830	3	{v=8, vn=16}
-143045	繁文缛	109639	165180	1	null
-143046	情义	65536	24773	3	{n=0}
-143047	絮叨	65536	32110	3	{v=0}
-143048	德涅	85616	24503	1	null
-143049	繁文缛节	65536	143045	3	{i=0}
-143050	法兰西	107817	176044	2	{ns=12}
-143051	繁枝茂	121559	165714	1	null
-143052	反败	72414	21453	1	null
-143053	繁枝茂叶	65536	143051	3	{i=0}
-143054	繁殖系数	65536	154674	3	{n=0}
-143055	反质	69065	21453	1	null
-143056	繁花似	104878	172646	1	null
-143057	反贪	68826	21453	2	{vn=1}
-143058	祝捷	65536	31069	3	{nr=0, v=0}
-143059	殡车	65536	27553	3	{n=0}
-143060	繁花似锦	65536	143056	3	{i=5}
-143061	回绕	65536	22238	3	{v=0}
-143062	形而	91071	24418	1	null
-143063	繁荣富强	65536	145756	3	{i=3}
-143064	笋干	65536	31499	3	{n=0}
-143065	市民	65536	24066	3	{n=151}
-143066	竖吹	65536	31446	3	{v=1}
-143067	煞白	65536	29022	3	{z=0}
-143068	承担	65536	25215	3	{v=123, vn=0}
-143069	回绝	65536	22238	3	{v=2, vn=0}
-143070	繁荣昌盛	65536	148380	3	{i=8}
-143071	惊呆	65536	24778	3	{v=0}
-143072	散场	65536	25955	3	{v=0}
-143073	纠察队	65536	147144	3	{n=1}
-143074	纠错码	65536	161794	3	{n=0}
-143075	情书	65536	24773	3	{n=0}
-143076	粘乎	122415	31896	1	null
-143077	纠风办	65536	162743	3	{j=0}
-143078	概观	65536	27010	3	{n=0}
-143079	眼见得	65536	197841	3	{d=0}
-143080	粳米	65536	31923	3	{n=0}
-143081	红三军	120841	198567	2	{j=1}
-143082	繁荣党	65536	172824	3	{n=6}
-143083	红三军团	65536	143081	3	{j=0}
-143084	概览	65536	27010	3	{n=6, v=0}
-143085	红不棱	112756	198571	1	null
-143086	瑶池	65536	29814	3	{n=0}
-143087	红不棱登	65536	143085	3	{z=0}
-143088	派生	93745	27966	2	{v=4, vn=0}
-143089	旱烟	89011	26097	2	{n=0}
-143090	团鱼	65536	22242	3	{n=0}
-143091	紧迫感	65536	173467	3	{n=10}
-143092	失态	65536	22833	3	{v=0, vn=0}
-143093	殷鉴	65536	27575	3	{n=0}
-143094	红专村	65536	198577	3	{ns=0}
-143095	红丹丹	65536	198615	3	{z=0}
-143096	红光满面	65536	150674	3	{l=1}
-143097	红十一团	65536	143101	3	{j=0}
-143098	红光光	65536	199399	3	{z=0}
-143099	灌河	65536	28748	3	{ns=0}
-143100	红十字会	65536	146516	3	{b=0, l=45}
-143101	红十一	120855	199903	1	null
-143102	红卫兵	65536	199945	3	{nz=1}
-143103	石灰水	65536	199317	3	{n=0}
-143104	红双喜	65536	200042	3	{nz=0}
-143105	红口白	109814	200065	1	null
-143106	红口白舌	65536	143105	3	{l=0}
-143107	红啤酒	65536	200450	3	{n=0}
-143108	炼油	111255	28860	2	{v=1, vn=1}
-143109	房地	94249	25151	2	{n=1}
-143110	红四军	65536	200825	3	{n=1}
-143111	地梨	65536	22320	3	{n=0}
-143112	情事	65536	24773	3	{n=0}
-143113	红土地	65536	200893	3	{n=2}
-143114	红塔山	65536	201202	3	{nz=3}
-143115	红墨水	65536	201286	3	{n=0}
-143116	恶斗	65536	24694	3	{v=0}
-143117	红头文	122904	201426	1	null
-143118	红头文件	65536	143117	3	{n=0}
-143119	左藤	65536	24038	3	{nr=0}
-143120	后继	73898	21518	1	null
-143121	红外光	65536	201396	3	{n=0}
-143122	献技	65536	29486	3	{v=1}
-143123	家丁	65536	23478	3	{n=0}
-143124	红子鸡	65536	201966	3	{nz=0}
-143125	惊呼	65536	24778	3	{v=2, vn=0}
-143126	后续	65536	21518	3	{v=1, vd=0, vn=5}
-143127	确保	65536	30830	3	{d=2, v=105, vn=0}
-143128	红学界	65536	201988	3	{n=1}
-143129	古都	65536	21476	3	{n=2}
-143130	欣闻	65536	27427	3	{v=2}
-143131	确信	65536	30830	3	{n=0, v=1}
-143132	头癣	65536	22836	3	{n=0}
-143133	红安县	65536	202023	3	{ns=0}
-143134	敬畏	65536	25964	3	{v=0, vn=0}
-143135	红宝石	65536	202043	3	{n=0}
-143136	如火	79132	22914	1	null
-143137	梅河	103496	26757	1	null
-143138	沦落风	104772	142193	1	null
-143139	家丑	65536	23478	3	{n=0}
-143140	文化部	80448	168038	2	{n=5, nt=29}
-143141	柔肠	100657	26580	1	null
-143142	炭笔	65536	28845	3	{n=0}
-143143	密苏	68754	23494	1	null
-143144	家世	65536	23478	3	{n=0}
-143145	后缀	65536	21518	3	{n=0}
-143146	简易房	65536	185628	3	{n=15}
-143147	红富士	65536	202090	3	{nz=2}
-143148	家业	65536	23478	3	{n=1}
-143149	矮子	65536	30702	3	{n=0}
-143150	红小兵	65536	202157	3	{n=0}
-143151	拖网	65536	25302	3	{n=1}
-143152	灌注	105425	28748	2	{v=0, vn=0}
-143153	根号	65536	26681	3	{n=0}
-143154	红岩村	65536	202311	3	{ns=1}
-143155	幽趣	65536	24189	3	{n=0}
-143156	椰雕	101216	26928	1	null
-143157	寒暄	70406	23506	2	{v=0}
-143158	红巾起	123119	202652	1	null
-143159	情人	91949	24773	2	{n=1}
-143160	红巾起义	65536	143158	3	{l=0}
-143161	红帽子	65536	202715	3	{n=0}
-143162	红庙李	116714	202807	1	null
-143163	红庙李村	65536	143162	3	{ns=0}
-143164	矮孟	109737	30702	1	null
-143165	定做	65536	23450	3	{v=2}
-143166	失恋	65536	22833	3	{v=0}
-143167	家中	65536	23478	3	{f=0, n=0, s=62}
-143168	泗阳	107295	27863	1	null
-143169	后缘	65536	21518	3	{n=0}
-143170	寒暑	85677	23506	2	{n=4}
-143171	红彤彤	65536	203010	3	{z=1}
-143172	红得发	111131	203061	1	null
-143173	立体几	121122	187868	1	null
-143174	红得发紫	65536	143172	3	{i=1}
-143175	漫无	104337	28459	1	null
-143176	红扑扑	65536	203759	3	{z=2}
-143177	红斑狼	113052	204591	1	null
-143178	红斑狼疮	65536	143177	3	{n=0}
-143179	礼拜堂	65536	165576	3	{n=1}
-143180	红新月	122934	204622	1	null
-143181	客观	85633	23458	2	{a=36, ad=4, an=1, n=51}
-143182	四自	65536	22235	3	{j=1}
-143183	快攻	65536	24555	3	{v=0, vn=1}
-143184	红新月会	65536	143180	3	{l=7, nt=0}
-143185	红旗手	65536	204661	3	{n=3}
-143186	红旗招展	65536	143329	3	{i=1}
-143187	红星村	65536	204733	3	{ns=0}
-143188	红松洼	65536	205084	3	{ns=0}
-143189	红极一	117089	205087	1	null
-143190	应有	86207	24212	2	{v=58, vn=1}
-143191	红极一时	65536	143189	3	{l=2}
-143192	红树林	65536	205231	3	{n=2}
-143193	歧途	65536	27495	3	{n=2}
-143194	红桥区	65536	205315	3	{ns=1}
-143195	现代派	65536	173970	3	{n=0}
-143196	红梦楼	65536	205380	3	{nz=1}
-143197	摇钱	90867	25671	1	null
-143198	红楼梦	65536	205594	3	{n=0, nz=12}
-143199	白日梦	65536	199379	3	{n=0}
-143200	红模子	65536	205759	3	{n=0}
-143201	台风	65536	21488	3	{n=7}
-143202	家乐	74634	23478	1	null
-143203	红殷殷	65536	206165	3	{z=0}
-143204	砖墙	65536	30742	3	{n=2}
-143205	可辨	65536	21487	3	{v=1}
-143206	红海州	65536	206613	3	{ns=0}
-143207	头皮	77402	22836	2	{n=1}
-143208	红澄澄	65536	207138	3	{z=1}
-143209	巴伊	88279	24052	1	null
-143210	杀出	85949	26432	1	null
-143211	煎饼	65536	29006	3	{n=0}
-143212	槽钢	65536	27133	3	{n=0}
-143213	红灿灿	65536	207389	3	{z=0}
-143214	李逵	65536	26446	3	{nr=2}
-143215	巴伐	87373	24052	1	null
-143216	测电	98160	27979	1	null
-143217	四舍	75736	22235	1	null
-143218	红灯笼	65536	207373	3	{n=5}
-143219	家乡	69949	23478	2	{n=53}
-143220	外壳	65536	22806	3	{n=1}
-143221	红河州	65536	206417	3	{ns=0}
-143222	常川	65536	24120	3	{d=0}
-143223	常州	86483	24120	2	{ns=0}
-143224	家书	65536	23478	3	{n=1}
-143225	穷途潦	120612	198385	1	null
-143226	红烧肉	65536	207493	3	{n=0}
-143227	申斥	65536	30003	3	{v=0}
-143228	红焖鸡	65536	207540	3	{n=0}
-143229	看不惯	65536	168142	3	{v=1}
-143230	红牛杯	65536	207865	3	{nz=0}
-143231	红玛瑙	65536	208185	3	{n=0}
-143232	秤毫	65536	31204	3	{n=0}
-143233	篆刻	118755	31686	2	{n=11, v=0, vn=0}
-143234	扬程	65536	25196	3	{n=0}
-143235	瞧得	102535	30631	1	null
-143236	红男绿	120340	208597	1	null
-143237	巴伦	82511	24052	1	null
-143238	好友	65536	22909	3	{n=6}
-143239	红男绿女	65536	143236	3	{i=0}
-143240	案语	65536	26696	3	{n=0}
-143241	引为	72939	24341	1	null
-143242	红白喜事	65536	145052	3	{l=1}
-143243	红白事	65536	208923	3	{n=1}
-143244	砖壁	65536	30742	3	{n=2}
-143245	头盔	65536	22836	3	{n=0}
-143246	灌浆	65536	28748	3	{v=3, vn=0}
-143247	头盖	65558	22836	1	null
-143248	摆渡	65536	25670	3	{n=0, v=0}
-143249	红皮书	65536	208972	3	{n=0}
-143250	好受	65536	22909	3	{a=1}
-143251	招供	65536	25307	3	{v=0}
-143252	粒度	65536	31890	3	{n=0}
-143253	红眼病	65536	209114	3	{n=0}
-143254	红筹股	65536	210199	3	{n=0}
-143255	窝主	65536	31389	3	{n=0}
-143256	红红火	114479	211008	1	null
-143257	单骑	65536	21333	3	{n=0}
-143258	红红火火	65536	143256	3	{a=0, i=0, l=0, z=6}
-143259	红细胞	65536	211044	3	{n=4}
-143260	喜雨	65536	21916	3	{n=0}
-143261	家事	65536	23478	3	{n=3}
-143262	游泳赛	65536	180491	3	{n=3, vn=1}
-143263	红绳系	106990	211089	1	null
-143264	官房	66991	23448	1	null
-143265	红绳系足	65536	143263	3	{l=0}
-143266	性质	65536	24615	3	{n=52}
-143267	红绿灯	65536	211101	3	{n=1}
-143268	红缨枪	65536	211142	3	{n=1}
-143269	红脚鹬	65536	211640	3	{n=0}
-143270	故态	95358	25925	2	{n=0}
-143271	头目	65536	22836	3	{n=1}
-143272	红艳艳	65536	211985	3	{z=0}
-143273	磕头虫	65536	139760	3	{n=0}
-143274	红花村	65536	212047	3	{ns=2}
-143275	红茶菌	65536	212180	3	{n=0}
-143276	梅派	65536	26757	3	{b=1, n=2}
-143277	烘干	110578	28888	2	{v=0, vn=0}
-143278	红药水	65536	212237	3	{n=0}
-143279	液果	65536	28082	3	{n=0}
-143280	红萝卜	65536	212411	3	{n=0}
-143281	注塑	65536	27880	3	{v=0}
-143282	棉纺锭	65536	158390	3	{n=1}
-143283	测力计	65536	134358	3	{n=0}
-143284	科研所	65536	194038	3	{j=6, n=0}
-143285	外头	65536	22806	3	{f=3}
-143286	红蜘蛛	65536	213174	3	{n=0}
-143287	糙纸	65536	31961	3	{n=0}
-143288	红血球	65536	213470	3	{n=0}
-143289	家产	65536	23478	3	{n=1}
-143290	歪道	65536	27498	3	{n=0}
-143291	感应	91541	24863	2	{n=1, v=0}
-143292	承接	65536	25215	3	{v=4, vn=0}
-143293	石英表	65536	204054	3	{n=0}
-143294	好吃	65536	22909	3	{a=9}
-143295	糯米	110276	31983	2	{n=1}
-143296	合身	65536	21512	3	{a=3}
-143297	红衣主	117359	213505	1	null
-143298	沥青路	65536	139372	3	{n=0}
-143299	可逆	71456	21487	2	{v=0, vn=0}
-143300	双马	65536	21452	3	{nz=0}
-143301	异样	65536	24322	3	{a=0, n=1}
-143302	注册证	65536	141548	3	{n=5}
-143303	精神抖	116776	204329	1	null
-143304	红衣主教	65536	143297	3	{n=0}
-143305	权益	65536	26435	3	{n=36}
-143306	红褐色	65536	213678	3	{n=0}
-143307	红豆杉	65536	214500	3	{n=0}
-143308	家人	65536	23478	3	{n=23}
-143309	红赤赤	65536	214786	3	{z=0}
-143310	红通通	65536	215480	3	{z=0}
-143311	房基	65536	25151	3	{n=0}
-143312	原鸽	65536	21407	3	{n=0}
-143313	常常	65536	24120	3	{d=49}
-143314	家什	65536	23478	3	{n=1}
-143315	红铃虫	65536	216673	3	{n=0}
-143316	棋子	65536	26827	3	{n=1}
-143317	氰酸	65536	27696	3	{n=0}
-143318	桡骨	65536	26721	3	{n=0}
-143319	氢酸	65536	27682	3	{n=0}
-143320	外套	65536	22806	3	{b=1, n=1}
-143321	家仇	65536	23478	3	{n=0}
-143322	秃岭	65536	31171	3	{n=0}
-143323	红锌矿	65536	216746	3	{n=0}
-143324	红霉素	65536	217255	3	{n=0}
-143325	红骨髓	65536	218182	3	{n=0}
-143326	纣棍	65536	32419	3	{n=0}
-143327	红领巾	65536	217636	3	{n=5, nz=0}
-143328	纤毛虫	65536	151882	3	{n=0}
-143329	红旗招	119549	204661	1	null
-143330	窃夺	65536	31363	3	{v=0}
-143331	实处	65536	23454	3	{s=2}
-143332	申明	65536	30003	3	{v=2}
-143333	商贩	65536	21830	3	{n=14}
-143334	瞒心	112580	30610	1	null
-143335	好听	65536	22909	3	{a=3}
-143336	古里	71265	21476	1	null
-143337	纤维板	65536	156771	3	{n=1}
-143338	纤维植物	65536	143735	3	{l=0}
-143339	少许	65536	23569	3	{m=0}
-143340	矮小	65536	30702	3	{a=0}
-143341	章则	65536	31456	3	{n=0}
-143342	纤维蛋白	65536	151349	3	{l=0}
-143343	掌鞭	65536	25484	3	{n=0}
-143344	殊途	104920	27530	1	null
-143345	约定俗	118245	152264	1	null
-143346	楚雄	101288	26970	2	{ns=0}
-143347	微弱	65536	24494	3	{a=5, ad=0, an=0}
-143348	商贸	72688	21830	2	{j=8, n=2}
-143349	约定俗成	65536	143345	3	{i=1}
-143350	引产	65536	24341	3	{v=0}
-143351	约旦河	65536	154900	3	{ns=38}
-143352	约束力	65536	155277	3	{n=3}
-143353	约法三	111899	156675	1	null
-143354	商贾	65536	21830	3	{n=0}
-143355	约法三章	65536	143353	3	{i=3}
-143356	约翰内	117326	161566	1	null
-143357	约翰内斯	120804	143356	1	null
-143358	滥竽	110811	28389	1	null
-143359	砖头	65536	30742	3	{n=0}
-143360	监督权	65536	166431	3	{n=0}
-143361	回老	72667	22238	1	null
-143362	失意	65536	22833	3	{a=0, v=1, vn=1}
-143363	民政部	88686	179302	2	{n=0, nt=29}
-143364	火力网	65536	184586	3	{n=0}
-143365	约翰内斯堡	65536	143357	3	{ns=9}
-143366	官报	74122	23448	2	{n=0}
-143367	纨绔	119994	32424	1	null
-143368	女工	65536	22899	3	{n=25}
-143369	引人	89606	24341	1	null
-143370	纨绔子	119020	143367	1	null
-143371	纨绔子弟	65536	143370	3	{i=0}
-143372	常平	65536	24120	3	{ns=0}
-143373	常年	65536	24120	3	{b=3, d=13, n=3, t=0}
-143374	女巫	65536	22899	3	{n=0}
-143375	石榴裙	65536	197593	3	{n=0}
-143376	窘困	65536	31384	3	{a=0}
-143377	石灰浆	65536	199317	3	{n=0}
-143378	纪传体	65536	153659	3	{n=0}
-143379	纪工委	65536	157440	3	{j=1}
-143380	承揽	65536	25215	3	{v=1, vn=0}
-143381	纪录片	65536	157808	3	{n=2}
-143382	寒来	79975	23506	1	null
-143383	砥砺	65536	30757	3	{v=1}
-143384	纪念邮票	65536	178508	3	{l=5}
-143385	悲苦	65536	24754	3	{a=0}
-143386	模本	65536	27169	3	{n=0}
-143387	纪昌学	119833	159527	1	null
-143388	湘潭	107112	28248	2	{ns=8}
-143389	纪昌学射	65536	143387	3	{i=0}
-143390	纯中药	65536	174308	3	{n=1}
-143391	纯利润	65536	175328	3	{n=1}
-143392	情侣	91950	24773	2	{n=0}
-143393	发觉	65536	21457	3	{v=4}
-143394	学子	65536	23398	3	{n=24}
-143395	水利部	65536	181989	3	{n=0, nt=19}
-143396	纯天然	65536	177120	3	{b=2}
-143397	纯净度	65536	175223	3	{n=0}
-143398	纯小数	65536	177862	3	{n=0}
-143399	增长	73762	22686	2	{v=438, vn=312}
-143400	纯收入	65536	180205	3	{n=31}
-143401	添置	65536	28155	3	{v=7, vn=0}
-143402	纪检员	65536	160219	3	{n=2}
-143403	家伙	65536	23478	3	{n=1}
-143404	禀性	65536	31104	3	{n=0}
-143405	纯文学	65536	180286	3	{n=0}
-143406	后者	65536	21518	3	{r=19}
-143407	守门	83177	23432	2	{v=1}
-143408	双高	69447	21452	1	null
-143409	纬书	65536	32428	3	{n=0}
-143410	纯洁性	65536	182200	3	{n=2}
-143411	级别	65536	32423	3	{n=11}
-143412	引以	90418	24341	1	null
-143413	惊喜	93397	24778	2	{a=15, an=3}
-143414	纯血马	65536	189175	3	{n=0}
-143415	纱包线	65536	143755	3	{n=0}
-143416	学学	65536	23398	3	{v=1}
-143417	纰漏	65536	32432	3	{n=1}
-143418	纲举目	119069	143478	1	null
-143419	抽丝	65536	25277	3	{v=1, vn=0}
-143420	得来	65536	24471	3	{v=0}
-143421	纲举目张	65536	143418	3	{i=0}
-143422	箱包	65536	31665	3	{n=0}
-143423	纲领性	65536	162494	3	{n=4}
-143424	纳塔尔	119360	155795	2	{ns=0}
-143425	失慎	65536	22833	3	{v=0}
-143426	纳塔尔市	65536	143424	3	{ns=0}
-143427	纳巴谷	65536	157235	3	{ns=0}
-143428	纳斯达	122618	159214	1	null
-143429	纳斯达克	65536	143428	3	{nz=0}
-143430	独立王	112063	194201	1	null
-143431	纳税人	65536	164429	3	{n=7}
-143432	纳米比	123312	165042	1	null
-143433	扶绥	93643	25206	2	{ns=0}
-143434	纳米比亚	65536	143432	3	{ns=1}
-143435	纳西族	65536	168382	3	{nz=4}
-143436	歇脚	65536	27463	3	{v=1}
-143437	纵切面	65536	167236	3	{n=0}
-143438	纵剖面	65536	167315	3	{n=0}
-143439	纵坐标	65536	168589	3	{n=0}
-143440	梦遗	65536	26790	3	{v=0}
-143441	纵断面	65536	172266	3	{n=0}
-143442	纵横交错	65536	143496	3	{i=4}
-143443	反躬	65563	21453	1	null
-143444	外姓	65536	22806	3	{n=0}
-143445	外委	78892	22806	1	null
-143446	疗法	65536	30103	3	{n=24}
-143447	定兴	83915	23450	1	null
-143448	发言	72445	21457	2	{n=0, v=26, vn=18}
-143449	名称	67168	21517	2	{n=19}
-143450	纵横弛骋	65536	147711	3	{i=0}
-143451	纵横捭阖	65536	148817	3	{i=3}
-143452	纵横有序	65536	149741	3	{l=1}
-143453	白菜碑	65536	207050	3	{n=0}
-143454	纵横驰骋	65536	162900	3	{i=0}
-143455	纵深行	65536	174382	3	{n=7}
-143456	女帽	65536	22899	3	{n=0}
-143457	家住	65536	23478	3	{v=1}
-143458	师范	86030	24072	2	{n=7}
-143459	晚婚	65536	26202	3	{n=1, v=1}
-143460	纵火犯	65536	175016	3	{n=0}
-143461	纵虎归	119800	180619	1	null
-143462	硝烟滚	111070	147105	1	null
-143463	牌九	65536	29260	3	{n=0}
-143464	灌渠	65536	28748	3	{n=0}
-143465	纵虎归山	65536	143461	3	{i=0}
-143466	猝然	65536	29469	3	{d=1}
-143467	纵视图	65536	181507	3	{n=0}
-143468	微循	81888	24494	1	null
-143469	模板	65536	27169	3	{n=1}
-143470	科学学	65536	186696	3	{n=2}
-143471	纷乱如	102838	143662	1	null
-143472	微微	81170	24494	2	{b=1, d=4, nr=0}
-143473	纷乱如麻	65536	143471	3	{l=0}
-143474	礼拜天	65536	165576	3	{t=0}
-143475	纷纭复	117043	156010	1	null
-143476	底角	65536	24213	3	{n=0}
-143477	纷纭复杂	65536	143475	3	{l=0}
-143478	纲举	112972	32434	1	null
-143479	纷纷扬	118285	156020	1	null
-143480	泌阳	107211	27852	1	null
-143481	纷纷扬扬	65536	143479	3	{i=5}
-143482	纷至沓	117016	156848	1	null
-143483	立体化	65536	187868	3	{v=1}
-143484	昏花	65536	26127	3	{z=2}
-143485	纷至沓来	65536	143482	3	{i=6}
-143486	纸上谈	122634	189140	1	null
-143487	纸上谈兵	65536	143486	3	{i=1}
-143488	彩礼	65536	24425	3	{n=0}
-143489	白皮松	65536	203676	3	{n=0}
-143490	染色	103875	26579	2	{v=0, vn=0}
-143491	定冠	69567	23450	1	null
-143492	纸制品	65536	190208	3	{n=0}
-143493	纸口袋	65536	190637	3	{n=1}
-143494	纸带机	65536	193264	3	{n=0}
-143495	引伸	90409	24341	1	null
-143496	纵横交	105273	173415	1	null
-143497	纸板箱	65536	195657	3	{n=1}
-143498	纸浆厂	65536	197136	3	{n=0}
-143499	纸老虎	65536	201931	3	{n=0}
-143500	纸醉金	106646	206419	1	null
-143501	纸醉金迷	65536	143500	3	{i=1}
-143502	景点	65536	26223	3	{n=13}
-143503	瞪视	65536	30634	3	{v=0}
-143504	精神损	119769	204329	1	null
-143505	纸餐巾	65536	208346	3	{n=0}
-143506	琉璃球	65536	135297	3	{n=0}
-143507	纹丝不	122348	143526	1	null
-143508	纹丝不动	65536	143507	3	{i=1}
-143509	多多	75813	22810	2	{d=4, m=0, v=1, z=1}
-143510	纹枯病	65536	150072	3	{n=0}
-143511	授粉	65536	25480	3	{v=1, vn=0}
-143512	灾祸	65536	28798	3	{n=2}
-143513	登记本	65536	167601	3	{n=1}
-143514	纺丝机	65536	143632	3	{n=0}
-143515	纺纱机	65536	156068	3	{n=0}
-143516	纺锤形	65536	161815	3	{n=0}
-143517	梅港	65536	26757	3	{ns=0}
-143518	猴王	65536	29492	3	{nz=0}
-143519	禅房	65536	31109	3	{n=0}
-143520	回肠	65543	22238	1	null
-143521	纽伯瑞	120653	143854	1	null
-143522	灭种	65536	28781	3	{v=0}
-143523	纽伯瑞奖	65536	143521	3	{nz=3}
-143524	纽约州	65536	156005	3	{ns=1}
-143525	纽芬兰	65536	157035	3	{n=0}
-143526	纹丝	123526	32441	1	null
-143527	线切割	65536	175512	3	{n=0}
-143528	界河	65536	30028	3	{n=3}
-143529	定准	65536	23450	3	{d=0, n=0}
-143530	繁殖关	65536	166731	3	{n=0}
-143531	线坯子	65536	176896	3	{n=0}
-143532	彩票	65536	24425	3	{n=2}
-143533	线形动	114249	178931	1	null
-143534	合辙	65536	21512	3	{a=0}
-143535	多头	65536	22810	3	{n=2}
-143536	楼上	65536	27004	3	{f=1, s=5}
-143537	楼下	65536	27004	3	{f=0, s=6}
-143538	线形动物	65536	143533	3	{l=0}
-143539	线性方	112300	179128	1	null
-143540	故意	65536	25925	3	{b=1, d=13, vd=0}
-143541	竞技场	65536	147971	3	{n=2}
-143542	四荒	65536	22235	3	{j=20, n=0}
-143543	线性方程	65536	143539	3	{l=0}
-143544	线性规划	65536	152766	3	{l=0}
-143545	浑仪	65536	27985	3	{n=0}
-143546	斗殴	65536	26007	3	{v=2, vn=0}
-143547	洽谈	109274	27965	2	{v=3, vn=3}
-143548	搭线	65536	25645	3	{v=0}
-143549	线手套	65536	179676	3	{n=0}
-143550	科学家	65536	186696	3	{n=92}
-143551	线桄子	65536	181205	3	{n=0}
-143552	线电压	65536	184518	3	{n=0}
-143553	混居	65536	28151	3	{v=1}
-143554	线粒体	65536	186403	3	{n=0}
-143555	线胀系	117589	187473	1	null
-143556	棋局	65536	26827	3	{n=4}
-143557	线胀系数	65536	143555	3	{l=0}
-143558	线膨胀	65536	187705	3	{n=0}
-143559	外婆	72419	22806	2	{n=5}
-143560	纽约市	65536	156005	3	{ns=1}
-143561	线路图	65536	190848	3	{n=0}
-143562	线速度	65536	191408	3	{n=0}
-143563	后肢	65536	21518	3	{n=0}
-143564	练兵场	65536	155245	3	{n=0}
-143565	线装书	65536	189526	3	{n=0}
-143566	瘦干	65536	30246	3	{z=0}
-143567	练功房	65536	155543	3	{n=0}
-143568	炭精	105714	28845	2	{n=0}
-143569	灌溉	103979	28748	2	{v=8, vn=14}
-143570	复种	73568	22797	2	{n=0}
-143571	四药	65536	22235	3	{j=0}
-143572	练嗓子	65536	156363	3	{v=0}
-143573	相对性	65536	195313	3	{n=0}
-143574	可鄙	65536	21487	3	{a=0, an=0}
-143575	散失	65536	25955	3	{v=0}
-143576	疯了	114844	30127	1	null
-143577	组合柜	65536	161105	3	{n=0}
-143578	组合音响	65536	155888	3	{l=0}
-143579	组委会	65536	162589	3	{j=0, n=28}
-143580	氟里	101178	27679	1	null
-143581	组成部	122586	164697	1	null
-143582	概论	65536	27010	3	{n=2}
-143583	穴头	65536	31348	3	{n=0}
-143584	组成部分	65536	143581	3	{l=42}
-143585	土生	74323	22303	1	null
-143586	矗起	65536	30679	3	{v=0}
-143587	组织关系	65536	149256	3	{l=2}
-143588	盆汤	65536	30406	3	{n=0}
-143589	合运	72021	21512	1	null
-143590	组织生活	65536	158388	3	{l=6}
-143591	畅游	65536	30021	3	{v=3}
-143592	抢红	86665	25250	1	null
-143593	组织疗法	65536	158508	3	{l=0}
-143594	电阻率	65536	207488	3	{n=0}
-143595	发誓	65536	21457	3	{v=2}
-143596	爽然	99991	29245	1	null
-143597	头破	66157	22836	1	null
-143598	恩重	90054	24681	1	null
-143599	瘫痪	65536	30251	3	{v=14, vn=0}
-143600	组织纪律	118991	160831	1	null
-143601	布料	65536	24067	3	{n=1}
-143602	土田	65536	22303	3	{nr=0}
-143603	家信	65536	23478	3	{n=0}
-143604	次内	87304	27425	1	null
-143605	后背	65536	21518	3	{n=2}
-143606	组织纪律性	65536	143600	3	{n=1}
-143607	组织部长	65536	165501	3	{n=5}
-143608	疑难重	106282	164888	1	null
-143609	组装车	65536	174606	3	{n=6}
-143610	名窑	65536	21517	3	{n=0}
-143611	独具特	100833	183621	1	null
-143612	瓜果	65536	29916	3	{n=5}
-143613	多如	70084	22810	1	null
-143614	矿物油	65536	191214	3	{n=0}
-143615	绅士	122289	32453	2	{n=1}
-143616	绅士协	120168	143615	1	null
-143617	牌价	65536	29260	3	{n=0}
-143618	绅士协定	65536	143616	3	{l=0}
-143619	直肠炎	65536	193782	3	{n=0}
-143620	细嗓子	65536	193567	3	{n=0}
-143621	细声细	115954	194364	1	null
-143622	细声细气	65536	143621	3	{i=0}
-143623	细大不	118200	194419	1	null
-143624	细大不捐	65536	143623	3	{i=0}
-143625	杨浦	102411	26472	2	{ns=1}
-143626	篇名	65536	31687	3	{n=0}
-143627	批量	65536	25209	3	{d=6, m=4, n=1}
-143628	疯人	97972	30127	2	{n=0}
-143629	泪珠	65536	27882	3	{n=1}
-143630	神圣感	65536	196392	3	{n=1}
-143631	细微处	65536	196090	3	{n=2}
-143632	纺丝	117088	32442	2	{v=0}
-143633	恶果	65536	24694	3	{n=2}
-143634	细条条	65536	198061	3	{z=0}
-143635	反转	65622	21453	1	null
-143636	细枝末	110233	198121	1	null
-143637	布施	65536	24067	3	{nr=0, v=0, vn=1}
-143638	瓜架	65536	29916	3	{n=0}
-143639	合适	65536	21512	3	{a=8}
-143640	篮协	65536	31726	3	{j=1}
-143641	定制	65536	23450	3	{n=0, v=1, vn=0}
-143642	斗气	65536	26007	3	{v=0}
-143643	细枝末节	65536	143636	3	{i=1}
-143644	感念	65536	24863	3	{v=2, vn=0}
-143645	细毛羊	65536	199207	3	{n=0}
-143646	巨贾	65536	24040	3	{n=0}
-143647	细水长	115680	199296	1	null
-143648	筑巢	117596	31569	2	{v=1, vn=0}
-143649	细水长流	65536	143647	3	{i=0}
-143650	细溜溜	65536	199912	3	{z=0}
-143651	殷钢	65536	27575	3	{n=0}
-143652	巨资	65536	24040	3	{n=4}
-143653	模样	65536	27169	3	{n=9}
-143654	房契	65536	25151	3	{n=0}
-143655	感怀	65536	24863	3	{v=1}
-143656	细石器	65536	202303	3	{n=0}
-143657	玉版纸	65536	184970	3	{n=0}
-143658	白鹿泉	117148	213869	1	null
-143659	细纱机	65536	204029	3	{n=1}
-143660	细细的	65536	204050	3	{z=1}
-143661	细腻入	119169	204743	1	null
-143662	纷乱	120557	32439	2	{a=0, ad=1}
-143663	细腻入微	65536	143661	3	{l=0}
-143664	引信	65536	24341	3	{n=1}
-143665	细致入	119175	204864	1	null
-143666	女式	65536	22899	3	{b=0}
-143667	显耀	65536	26174	3	{v=0}
-143668	合速	68952	21512	1	null
-143669	细致入微	65536	143665	3	{l=0}
-143670	细菌学	65536	205336	3	{n=0}
-143671	桥段	65536	26725	3	{n=0}
-143672	秒针	65536	31186	3	{n=0}
-143673	确凿	65536	30830	3	{a=2}
-143674	后脑	72714	21518	2	{n=0}
-143675	疙里	106342	30105	1	null
-143676	细菌武器	65536	147766	3	{l=0}
-143677	细菌肥料	65536	153205	3	{l=0}
-143678	失手	65536	22833	3	{v=0, vd=0}
-143679	显而	95150	26174	1	null
-143680	细针密	111152	209620	1	null
-143681	确切	65536	30830	3	{a=6, ad=0}
-143682	榆钱	65536	27014	3	{n=0}
-143683	后脚	65536	21518	3	{n=0}
-143684	红三叶	65536	198567	3	{n=1}
-143685	细针密缕	65536	143680	3	{i=0}
-143686	纷争	65536	32439	3	{n=2, v=0}
-143687	南麓	65536	21335	3	{f=4}
-143688	富饶	65536	23500	3	{a=2, an=0}
-143689	细铁丝	65536	209677	3	{n=0}
-143690	由来	111791	30001	2	{n=3, vn=0}
-143691	潜水艇	65536	152871	3	{n=0}
-143692	扎龙	65536	25166	3	{ns=2}
-143693	细高挑	65536	211236	3	{n=0}
-143694	感性	77999	24863	2	{n=4}
-143695	秒钟	65536	31186	3	{n=1, q=0}
-143696	常德	84891	24120	2	{ns=1}
-143697	窑坑	65536	31377	3	{n=0}
-143698	漏电	65536	28431	3	{v=0}
-143699	建文	65536	24314	3	{t=0}
-143700	独断独	99380	188795	1	null
-143701	版式	65536	29256	3	{n=1}
-143702	生产经营者	65536	135528	3	{n=3}
-143703	牌位	65536	29260	3	{n=0}
-143704	织女星	65536	144970	3	{n=0}
-143705	织袜机	65536	157043	3	{n=0}
-143706	织造厂	65536	158967	3	{n=1}
-143707	土疙	66380	22303	1	null
-143708	痒酥	99418	30162	1	null
-143709	女强	81116	22899	1	null
-143710	法学院	65536	178594	3	{n=2}
-143711	玻璃	120969	29627	2	{n=21}
-143712	犹犹	98097	29369	1	null
-143713	磁带盒	65536	183333	3	{n=0}
-143714	策士	65536	31574	3	{n=0}
-143715	护法	65536	25252	3	{n=2, v=0, vn=0}
-143716	织布机	65536	146138	3	{n=0}
-143717	扶老	89431	25206	1	null
-143718	织锦缎	65536	160253	3	{n=0}
-143719	终南捷径	65536	145525	3	{i=0}
-143720	终古不	119034	159130	1	null
-143721	终古不息	65536	143720	3	{l=0}
-143722	终天之	119049	160479	1	null
-143723	纺织业	65536	156090	3	{n=2}
-143724	幽远	65536	24189	3	{a=1}
-143725	招兵	95964	25307	2	{v=0, vn=0}
-143726	反过	65975	21453	1	null
-143727	终南山	65536	158989	3	{ns=0}
-143728	滑雪鞋	65536	164366	3	{n=0}
-143729	终天之恨	65536	143722	3	{i=0}
-143730	终审权	65536	161111	3	{n=0}
-143731	终止符	65536	165144	3	{n=0}
-143732	磁盘盒	65536	189655	3	{n=0}
-143733	琉璃瓦	65536	135297	3	{n=0}
-143734	终点站	65536	166511	3	{n=0}
-143735	纤维植	114049	156771	1	null
-143736	终结符	65536	170121	3	{n=0}
-143737	终端区	65536	169125	3	{n=1}
-143738	多姿	76567	22810	2	{a=0}
-143739	终身伴侣	65536	143741	3	{n=0}
-143740	百分数	65536	182751	3	{n=0}
-143741	终身伴	123352	174177	1	null
-143742	终身大事	65536	146288	3	{n=0}
-143743	旱獭	65536	26097	3	{n=0}
-143744	绉布	65536	32457	3	{n=0}
-143745	绊脚石	65536	156304	3	{n=1}
-143746	绊马索	65536	162786	3	{n=0}
-143747	系列	121694	31995	2	{b=0, n=89, q=174}
-143748	奇袭	65536	22855	3	{v=1, vn=0}
-143749	渊薮	65536	28170	3	{n=0}
-143750	绍丝印	65536	143753	3	{j=0}
-143751	经世致	113764	190482	1	null
-143752	绊倒	65536	32458	3	{v=0}
-143753	绍丝	122390	32461	1	null
-143754	经不住	65536	190473	3	{v=1}
-143755	纱包	110968	32433	1	null
-143756	经世致用	65536	143751	3	{i=1}
-143757	瘦弱	65536	30246	3	{a=3}
-143758	经久不	119080	190529	1	null
-143759	名符	72955	21517	1	null
-143760	感恩	91489	24863	2	{v=0}
-143761	经典之作	65536	143781	3	{i=0}
-143762	晚安	65536	26202	3	{v=0}
-143763	快板	65536	24555	3	{n=1}
-143764	枪决	65536	26538	3	{v=1}
-143765	绍兴县	65536	144608	3	{ns=2}
-143766	经办人	65536	191642	3	{n=1}
-143767	经久不息	65536	143758	3	{i=2}
-143768	织品	65536	32455	3	{n=0}
-143769	后腰	65536	21518	3	{n=0}
-143770	常态	65536	24120	3	{n=5}
-143771	欺诈	101313	27450	2	{v=7, vn=11}
-143772	奇装	76785	22855	1	null
-143773	楼价	65536	27004	3	{n=3}
-143774	巴儿	79021	24052	1	null
-143775	寒森	79374	23506	1	null
-143776	守静	65536	23432	3	{a=1}
-143777	怒骂	65536	24594	3	{v=0}
-143778	定势	65536	23450	3	{n=3}
-143779	窘境	65536	31384	3	{n=2}
-143780	涉猎	65536	28041	3	{v=3, vn=2}
-143781	经典之	123445	191348	1	null
-143782	浑俗	108066	27985	1	null
-143783	棚车	65536	26842	3	{n=0}
-143784	后腿	65536	21518	3	{n=1}
-143785	房委	94123	25151	1	null
-143786	巴克	85623	24052	1	null
-143787	思虑	65536	24605	3	{v=2, vn=0}
-143788	盗窃罪	65536	157664	3	{n=1}
-143789	经史子	105193	191982	1	null
-143790	民族自	106157	179446	1	null
-143791	经史子集	65536	143789	3	{i=0, j=1}
-143792	概貌	65536	27010	3	{n=0}
-143793	如狼	81764	22914	1	null
-143794	桃红	65536	26691	3	{b=1, n=0}
-143795	经商者	65536	192322	3	{n=1}
-143796	经团联	65536	192734	3	{j=1}
-143797	经委会	65536	193488	3	{j=0}
-143798	秀发	65536	31168	3	{n=1}
-143799	经年累	117424	194672	1	null
-143800	经年累月	65536	143799	3	{i=1}
-143801	章句	65536	31456	3	{n=0}
-143802	毫无道	97259	138747	1	null
-143803	经常化	65536	194612	3	{v=6, vn=1}
-143804	执黑	65536	25191	3	{v=6}
-143805	晚宴	65536	26202	3	{n=3}
-143806	溶胶	65536	28342	3	{n=0}
-143807	经得住	65536	194963	3	{v=2}
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-143809	经手人	65536	195655	3	{n=0}
-143810	检索	65536	26816	3	{v=3, vn=2}
-143811	特困生	65536	179507	3	{n=7}
-143812	地步	65536	22320	3	{n=3}
-143813	经济主体论	65536	144074	3	{n=1}
-143814	感悟	65536	24863	3	{v=8, vn=2}
-143815	布景	65536	24067	3	{n=2, v=0}
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-143817	经济作物片	65536	143816	3	{n=1}
-143818	经济危机	65536	183471	3	{l=8}
-143819	漏疮	65536	28431	3	{n=0}
-143820	经济基础	65536	184632	3	{l=23}
-143821	经济开放	108052	186430	1	null
-143822	经济开放论	65536	143821	3	{n=1}
-143823	桌面	65536	26700	3	{n=2}
-143824	经济收益	65536	188020	3	{n=0}
-143825	直接税	65536	186363	3	{n=0}
-143826	繁殖力	65536	166731	3	{n=0}
-143827	经济改革	108059	188023	1	null
-143828	双鱼	65560	21452	2	{nz=0}
-143829	经济改革论	65536	143827	3	{n=1}
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-143831	经济昆虫	65536	188228	3	{l=0}
-143832	建昌	88655	24314	1	null
-143833	外存	65536	22806	3	{n=0}
-143834	外孙	76267	22806	2	{n=3}
-143835	斗法	65536	26007	3	{v=0}
-143836	枪击	65536	26538	3	{v=2, vn=4}
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-143838	滚动轴	106231	145704	1	null
-143839	模棱	105452	27169	1	null
-143840	炉渣	65536	28809	3	{n=0}
-143841	经济杂交	65536	188544	3	{l=0}
-143842	民族舞	65536	179446	3	{n=0}
-143843	瞬时	114158	30636	2	{t=0}
-143844	经济学家	65536	185508	3	{n=17}
-143845	经济核算	65536	188790	3	{l=0}
-143846	炉温	65536	28809	3	{n=0}
-143847	经济特区	65536	191415	3	{l=10}
-143848	经济部长	65536	199206	3	{n=2}
-143849	经社理事	123600	147567	1	null
-143850	经社理事会	65536	143849	3	{j=0}
-143851	经管站	65536	202141	3	{j=0}
-143852	感情	83772	24863	2	{n=63}
-143853	毫秒	65536	27627	3	{q=0}
-143854	纽伯	113731	32445	1	null
-143855	经纪人	65536	202918	3	{n=1}
-143856	经社文	65536	201530	3	{j=0}
-143857	溢美	111252	28322	1	null
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-143859	期间	65536	26399	3	{f=285, n=0, t=0}
-143860	盆浴	65536	30406	3	{v=0}
-143861	皱痕	65536	30385	3	{n=0}
-143862	癸子	65536	30328	3	{m=0}
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-143864	经营不善	111092	144290	2	{l=6}
-143865	经营不善者	65536	143864	3	{n=2}
-143866	经纬仪	65536	202920	3	{n=0}
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-143868	经营管理者	65536	143867	3	{n=13}
-143869	盖世	114966	30422	1	null
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-143871	经营责任制	65536	143870	3	{n=2}
-143872	经货联	113442	206627	1	null
-143873	经货联盟	65536	143872	3	{j=0}
-143874	枯瘦	65536	26543	3	{a=0}
-143875	基隆	65536	22522	3	{ns=0}
-143876	南齐	65536	21335	3	{t=0}
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-143880	纱厂	65536	32433	3	{n=0}
-143881	版心	65536	29256	3	{n=0}
-143882	科技型	65536	188514	3	{b=1}
-143883	经贸混委会	65536	143879	3	{j=1, n=0}
-143884	广东	84444	24191	2	{ns=156}
-143885	多媒	79076	22810	1	null
-143886	率由	108536	29575	1	null
-143887	申根	114620	30003	1	null
-143888	智者	86325	26234	2	{n=1}
-143889	经验主	123853	210056	1	null
-143890	封装	65536	23553	3	{v=0, vn=0}
-143891	练习器	65536	154456	3	{n=0}
-143892	地段	65536	22320	3	{n=11}
-143893	国父	65536	22269	3	{n=0}
-143894	经验主义	65536	143889	3	{n=0}
-143895	拖船	65536	25302	3	{n=0}
-143896	绒头绳	65536	145614	3	{n=0}
-143897	发证	65536	21457	3	{v=0, vn=1}
-143898	感想	65536	24863	3	{n=4}
-143899	恶梦	65536	24694	3	{n=0}
-143900	景片	65536	26223	3	{n=0}
-143901	电信法	65536	189478	3	{n=2}
-143902	爆破	108142	29190	2	{v=0, vn=3}
-143903	绒山羊	65536	146443	3	{n=0}
-143904	戏院	65536	25103	3	{n=0}
-143905	盗卖者	65536	147635	3	{n=1}
-143906	绑匪	65536	32465	3	{n=0}
-143907	外客	65536	22806	3	{n=0}
-143908	折子	90287	25240	2	{n=0}
-143909	故技	80834	25925	2	{n=0}
-143910	绒毛状	65536	150389	3	{n=0}
-143911	沃野	106810	27779	2	{n=1}
-143912	绒线帽	65536	155225	3	{n=0}
-143913	牝马	65536	29277	3	{n=0}
-143914	广为	65536	24191	3	{d=5}
-143915	结党营	112748	193226	1	null
-143916	就餐	65536	23601	3	{v=3, vn=0}
-143917	结党营私	65536	143915	3	{i=0}
-143918	第二国	103320	142014	1	null
-143919	终端台	65536	169125	3	{n=0}
-143920	名篇	65536	21517	3	{n=0}
-143921	祛痰	118927	31067	1	null
-143922	情况	65536	24773	3	{n=615}
-143923	结发夫	120956	193857	1	null
-143924	碰壁	65536	30896	3	{v=1}
-143925	发话	70395	21457	2	{v=1, vn=0}
-143926	实字	65536	23454	3	{n=0}
-143927	结发夫妻	65536	143923	3	{i=0}
-143928	定单	65536	23450	3	{n=2}
-143929	广义	65536	24191	3	{n=4, nr=0}
-143930	瓜棚	65536	29916	3	{n=0}
-143931	猿猴	65536	29503	3	{n=0}
-143932	结售汇	65536	194206	3	{j=0}
-143933	结合力	65536	193912	3	{n=0}
-143934	景物	65536	26223	3	{n=1}
-143935	外宾	65536	22806	3	{n=2}
-143936	结婚照	65536	195530	3	{n=0}
-143937	结实率	65536	195854	3	{n=2}
-143938	恶棍	65536	24694	3	{n=0}
-143939	弹簧	88485	24377	2	{n=0}
-143940	结对联	118779	195945	1	null
-143941	发语	65714	21457	1	null
-143942	结对联手	65536	143940	3	{l=1}
-143943	结扎户	65536	197566	3	{n=1}
-143944	外寇	65536	22806	3	{n=0}
-143945	土皇	72537	22303	1	null
-143946	女性	80001	22899	2	{n=23}
-143947	并纱	83062	24182	1	null
-143948	结束位	65536	198863	3	{n=0}
-143949	结晶体	65536	198630	3	{n=0}
-143950	地毯	65536	22320	3	{n=5}
-143951	期限	65536	26399	3	{n=45, vn=0}
-143952	浸膏	65536	28024	3	{n=0}
-143953	结构力学	65536	144016	3	{n=0}
-143954	结核杆菌	65536	143957	3	{l=0}
-143955	玷辱	65536	29623	3	{v=0}
-143956	结核菌素	65536	151259	3	{l=0}
-143957	结核杆	110214	199080	1	null
-143958	家兄	65536	23478	3	{n=0}
-143959	结案率	65536	199096	3	{n=0}
-143960	彩笔	65536	24425	3	{n=1}
-143961	并线	65536	24182	3	{v=1}
-143962	后舱	65536	21518	3	{n=2}
-143963	结结巴	119912	204867	1	null
-143964	结结巴巴	65536	143963	3	{z=0}
-143965	热电站	65536	192066	3	{n=0}
-143966	常情	65536	24120	3	{n=0}
-143967	百年树	117148	185933	1	null
-143968	标准时	65536	149778	3	{n=0}
-143969	结缔组	111518	204932	1	null
-143970	汗如	89220	27735	1	null
-143971	汤剂	65536	27748	3	{n=0}
-143972	昏蒙	87058	26127	1	null
-143973	结缔组织	65536	143969	3	{l=0}
-143974	家兔	65536	23478	3	{n=0}
-143975	结肠炎	65536	205328	3	{n=0}
-143976	矫捷	65536	30699	3	{a=0}
-143977	结膜炎	65536	205580	3	{n=0}
-143978	施用	65536	26045	3	{v=1}
-143979	癸寅	65536	30328	3	{m=0}
-143980	结草衔	114370	206009	1	null
-143981	糊墙	110218	31946	1	null
-143982	窃密	65536	31363	3	{v=0}
-143983	布朗	82689	24067	2	{nr=2, nz=0}
-143984	坐镇	65536	22352	3	{v=2}
-143985	结草衔环	65536	143980	3	{i=0}
-143986	泰宁	65536	27888	3	{ns=0}
-143987	地气	65536	22320	3	{n=0}
-143988	绕口令	65536	144071	3	{n=0}
-143989	犯嘀	112371	29359	1	null
-143990	绕圈子	65536	144876	3	{v=0}
-143991	经销商	65536	208636	3	{n=6}
-143992	绕脖子	65536	155642	3	{v=0}
-143993	绘声绘	119562	145759	1	null
-143994	泰安	104981	27888	2	{ns=0}
-143995	绘声绘影	65536	143993	3	{i=0}
-143996	失掉	65536	22833	3	{v=0}
-143997	实实	83218	23454	1	null
-143998	绕弯儿	65536	146963	3	{v=0}
-143999	潮乎	111898	28526	1	null
-144000	涨落	65536	28072	3	{n=1}
-144001	字面	65536	23383	3	{n=0}
-144002	绘影绘	121239	147424	1	null
-144003	情分	65536	24773	3	{n=0}
-144004	禀承	65536	31104	3	{v=0}
-144005	绘画室	65536	153002	3	{n=0}
-144006	易碎	96424	26131	2	{a=0}
-144007	绘影绘声	65536	144002	3	{i=0}
-144008	巴利	69962	24052	1	null
-144009	家具	83278	23478	2	{n=8}
-144010	猫儿腻	65536	134552	3	{n=0}
-144011	玄想	65536	29572	3	{n=0}
-144012	给面子	65536	162800	3	{v=0}
-144013	插班	87268	25554	2	{v=0}
-144014	绚丽	121208	32474	2	{a=7, an=0}
-144015	感慨	93793	24863	2	{a=7, an=2, v=6, vd=0, vn=4}
-144016	结构力	120555	198900	1	null
-144017	电视报	65536	204299	3	{n=3}
-144018	绚丽多	120995	144014	1	null
-144019	玉米粉	65536	187573	3	{n=1}
-144020	广交	89308	24191	1	null
-144021	焊头	65536	28938	3	{n=0}
-144022	监护权	65536	161120	3	{n=0}
-144023	绛县	65536	32475	3	{ns=0}
-144024	牢牢	65536	29282	3	{ad=0, d=15}
-144025	奇观	65536	22855	3	{n=3}
-144026	失控	65536	22833	3	{v=3, vn=2}
-144027	惊堂	86963	24778	1	null
-144028	玉米粒	65536	187573	3	{n=2}
-144029	失措	65536	22833	3	{v=0}
-144030	络合物	65536	144036	3	{n=0}
-144031	旅日	65536	26053	3	{vn=3}
-144032	桥洞	65536	26725	3	{n=0}
-144033	夜车	65536	22812	3	{n=0}
-144034	绚丽多姿	65536	144018	3	{i=4}
-144035	源源而	104774	147147	1	null
-144036	络合	114741	32476	1	null
-144037	绘制	65536	32472	3	{v=4, vn=0}
-144038	竭尽	120734	31469	2	{v=0}
-144039	碰头	119381	30896	2	{v=1, vn=0}
-144040	疲弱	65536	30130	3	{a=0}
-144041	意莫	74036	24847	1	null
-144042	禀报	65536	31104	3	{v=0}
-144043	络绎不	111569	154986	1	null
-144044	猥琐	65536	29477	3	{an=0}
-144045	第一国	103302	141874	1	null
-144046	络绎不绝	65536	144043	3	{i=8}
-144047	玉米粥	65536	187573	3	{n=0}
-144048	络腮胡	120678	155658	1	null
-144049	目不斜	102656	156302	1	null
-144050	客货	68847	23458	2	{j=0, n=2}
-144051	给水团	65536	151746	3	{n=4}
-144052	引入	65536	24341	3	{v=14, vn=0}
-144053	民族英	88478	179446	1	null
-144054	络腮胡子	65536	144048	3	{l=0}
-144055	绝世无	122757	191600	1	null
-144056	精神文	116481	204329	1	null
-144057	布条	65536	24067	3	{n=1}
-144058	矫揉	102029	30699	1	null
-144059	片儿长	65536	145277	3	{n=0}
-144060	生物武	113524	197762	1	null
-144061	智育	65536	26234	3	{n=0, nr=0}
-144062	绝世无匹	65536	144055	3	{l=0}
-144063	矿泉水	109190	189774	2	{n=6}
-144064	洞若	94077	27934	1	null
-144065	汤加	65536	27748	3	{ns=0}
-144066	绝代佳	123915	191805	1	null
-144067	外层	65536	22806	3	{n=0}
-144068	桑林	65536	26705	3	{n=0}
-144069	绝代佳人	65536	144066	3	{i=0}
-144070	怀表	65536	24576	3	{n=0}
-144071	绕口	123792	32469	1	null
-144072	瞒报	65536	30610	3	{v=1}
-144073	桑果	65536	26705	3	{n=0}
-144074	经济主体	108043	182137	1	null
-144075	多子	76578	22810	2	{n=2}
-144076	外屋	65536	22806	3	{n=0}
-144077	古钱	65536	21476	3	{n=0}
-144078	绝命书	65536	193239	3	{n=0}
-144079	多孔	66942	22810	2	{b=0}
-144080	绝处逢	114099	194398	1	null
-144081	皱皱	113579	30385	1	null
-144082	绝处逢生	65536	144080	3	{i=0}
-144083	折寿	65536	25240	3	{v=0}
-144084	玉米糊	65536	187573	3	{n=0}
-144085	绝大多	118124	194433	1	null
-144086	外展	68091	22806	1	null
-144087	招募	65536	25307	3	{v=1, vn=2}
-144088	折射	85827	25240	2	{v=5, vn=0}
-144089	底谷	65536	24213	3	{n=1}
-144090	粘粘搭	116824	154926	1	null
-144091	稳定平	106005	153434	1	null
-144092	绝大多数	65536	144085	3	{m=24}
-144093	绝大部分	65536	158371	3	{m=16}
-144094	示弱	65536	31034	3	{v=2}
-144095	快棋	76079	24555	2	{n=1}
-144096	模糊集	65536	148920	3	{n=0}
-144097	粤剧	65536	31908	3	{n=3}
-144098	绝对温度	65536	152191	3	{l=0}
-144099	好在	65536	22909	3	{d=1}
-144100	绝对湿度	65536	152277	3	{l=0}
-144101	练习场	65536	154456	3	{n=0}
-144102	合金	65544	21512	2	{n=1, nz=0}
-144103	绝对真理	65536	154485	3	{l=0}
-144104	生育率	65536	201419	3	{n=0}
-144105	益母	104054	30410	1	null
-144106	掌骨	65536	25484	3	{n=1}
-144107	并网	88033	24182	2	{v=1}
-144108	绝对观念	65536	159256	3	{l=0}
-144109	绝对零度	65536	162636	3	{l=0}
-144110	燃起	65536	29123	3	{v=4}
-144111	撒网	65536	25746	3	{v=0}
-144112	定名	65536	23450	3	{v=1}
-144113	绝对高度	65536	163630	3	{l=0}
-144114	欺负	65536	27450	3	{v=1, vn=1}
-144115	异步	65536	24322	3	{b=1, v=1}
-144116	定向	85500	23450	2	{b=2, d=0}
-144117	绝无仅有	65536	144127	3	{i=4}
-144118	神秘感	65536	205277	3	{n=0}
-144119	稽查	65536	31293	3	{n=1, v=6, vn=3}
-144120	古铜	65573	21476	1	null
-144121	绝无此意	65536	151454	3	{l=0}
-144122	注定	65536	27880	3	{v=5, vd=0}
-144123	消防车	65536	191245	3	{n=1}
-144124	绝甘分	120556	201586	1	null
-144125	绝甘分少	65536	144124	3	{i=0}
-144126	地沟	65536	22320	3	{n=0}
-144127	绝无仅	117740	197690	1	null
-144128	绝经期	65536	204073	3	{t=0}
-144129	绞丝旁	65536	156616	3	{n=0}
-144130	泪痕	103012	27882	2	{n=1}
-144131	绞刑架	65536	157628	3	{n=0}
-144132	绞包针	65536	157872	3	{n=0}
-144133	绞尽脑	116421	160232	1	null
-144134	绞尽脑汁	65536	144133	3	{i=2}
-144135	疆界	65536	30086	3	{n=3}
-144136	智能	100325	26234	2	{n=10}
-144137	绞肉机	65536	169524	3	{n=0}
-144138	好坏	65536	22909	3	{a=0, an=0, n=7}
-144139	敬礼	65536	25964	3	{v=3, vn=0}
-144140	玛瑙	65536	29595	3	{n=0}
-144141	第四	109795	31532	1	null
-144142	折尺	65536	25240	3	{n=0}
-144143	模模	93526	27169	1	null
-144144	绞肠痧	65536	169547	3	{n=0}
-144145	绝缘体	65536	204146	3	{n=0}
-144146	字音	65536	23383	3	{n=0}
-144147	绞脑汁	65536	169660	3	{v=0}
-144148	统一战线	65536	149087	3	{l=27}
-144149	统供率	65536	161393	3	{n=2}
-144150	给予	65536	32473	3	{v=151, vn=1}
-144151	统帅部	65536	165083	3	{n=0}
-144152	统战部	65536	166126	3	{n=2, nt=35}
-144153	统揽全	120542	166611	1	null
-144154	官方	65536	23448	3	{n=29}
-144155	汤勺	65536	27748	3	{n=0}
-144156	建材	88717	24314	2	{n=17}
-144157	泄私	103770	27844	1	null
-144158	统揽全局	65536	144153	3	{l=26}
-144159	统收统	118258	166924	1	null
-144160	喜马	69987	21916	1	null
-144161	统收统支	65536	144159	3	{l=1}
-144162	稿子	65536	31295	3	{n=0}
-144163	统治区	65536	168849	3	{n=2}
-144164	海林镇	65536	189837	3	{ns=0}
-144165	房子	65536	25151	3	{n=38}
-144166	汤包	65536	27748	3	{n=0}
-144167	牢狱	65536	29282	3	{n=0}
-144168	统治阶级	65536	161311	3	{l=2}
-144169	皱眉	114800	30385	2	{v=0}
-144170	统筹兼顾	65536	144171	3	{i=3}
-144171	统筹兼	105132	172623	1	null
-144172	统购统	106029	177155	1	null
-144173	统购统销	65536	144172	3	{l=0}
-144174	绢丝	111736	32482	2	{n=0}
-144175	统计员	65536	176759	3	{n=1}
-144176	清明节	65536	190248	3	{t=0}
-144177	巴勒	82397	24052	1	null
-144178	绢丝纺	65536	144174	3	{n=0}
-144179	绣墩草	65536	147273	3	{n=0}
-144180	根基	65536	26681	3	{n=4}
-144181	怪里	88087	24618	1	null
-144182	绣球风	65536	154275	3	{n=0}
-144183	桥涵	65536	26725	3	{n=0}
-144184	纠偏	65536	32416	3	{v=0}
-144185	烦燥	65536	28902	3	{a=0}
-144186	汤匙	65536	27748	3	{n=0}
-144187	定员	65536	23450	3	{n=0, v=2, vn=2}
-144188	情势	65536	24773	3	{n=3}
-144189	实属	65536	23454	3	{v=3}
-144190	桑树	65536	26705	3	{n=0}
-144191	绣花枕头	65536	144197	3	{i=0}
-144192	根堆	91927	26681	1	null
-144193	地波	65536	22320	3	{n=0}
-144194	旱田	65536	26097	3	{n=1}
-144195	同行	73653	21516	2	{n=27, v=6, vn=0}
-144196	督战	65536	30563	3	{v=2}
-144197	绣花枕	121355	158033	1	null
-144198	学年	65536	23398	3	{n=1}
-144199	绥化市	65536	147921	3	{ns=1}
-144200	散客	65536	25955	3	{n=2}
-144201	引出	65536	24341	3	{v=6}
-144202	稽核	65536	31293	3	{v=1, vn=1}
-144203	笨家	121507	31528	1	null
-144204	绥棱县	65536	153516	3	{ns=0}
-144205	绥汾河	65536	154425	3	{n=0}
-144206	巨轮	65536	24040	3	{n=2}
-144207	绥滨县	65536	155043	3	{ns=0}
-144208	建构	65536	24314	3	{v=3, vn=0}
-144209	搭腔	65536	25645	3	{v=0}
-144210	立法委	119860	195422	1	null
-144211	绥芬河	120146	160103	2	{ns=4}
-144212	绥芬河市	65536	144211	3	{ns=2}
-144213	绥阳县	65536	165102	3	{ns=1}
-144214	牲粉	65536	29298	3	{n=0}
-144215	绥靖主	124175	165393	1	null
-144216	绥靖主义	65536	144215	3	{n=0}
-144217	矽钢	65536	30717	3	{n=0}
-144218	继往开	117755	153656	1	null
-144219	瑞气	104835	29790	2	{n=2}
-144220	多寡	65536	22810	3	{n=1}
-144221	燕京	65536	29141	3	{nz=0}
-144222	清水衙	92373	191822	1	null
-144223	绦子	65536	32486	3	{n=0}
-144224	继往开来	65536	144218	3	{i=6}
-144225	回荡	65536	22238	3	{v=7}
-144226	泰山	107825	27888	2	{ns=6, nz=0}
-144227	古镇	66295	21476	2	{n=2, nz=1}
-144228	注射	106873	27880	2	{v=5, vn=1}
-144229	洗手袋	65536	161008	3	{n=0}
-144230	给付	65536	32473	3	{v=0}
-144231	继电器	65536	159213	3	{n=0}
-144232	绩效	65536	32489	3	{n=0}
-144233	绫椤	111731	32491	1	null
-144234	国王	65536	22269	3	{n=26}
-144235	绫椤绸	111710	144233	1	null
-144236	绫椤绸缎	65536	144235	3	{l=0}
-144237	搭腰	65536	25645	3	{n=0}
-144238	学府	65536	23398	3	{n=2}
-144239	续航力	65536	162519	3	{n=0}
-144240	基音	65536	22522	3	{n=0}
-144241	炼焦	103825	28860	2	{vn=0}
-144242	煞笔	65536	29022	3	{n=0, v=0}
-144243	给以	65536	32473	3	{v=4}
-144244	继承人	65536	154423	3	{n=3}
-144245	绮丽	65536	32494	3	{a=1}
-144246	绯红	65536	32495	3	{z=2}
-144247	房客	65536	25151	3	{n=0}
-144248	疲态	65536	30130	3	{n=0}
-144249	房室	65536	25151	3	{n=0}
-144250	发财	65726	21457	2	{v=7, vn=0}
-144251	绰有余	109223	149149	1	null
-144252	绰有余裕	65536	144251	3	{i=0}
-144253	地洞	65536	22320	3	{n=0}
-144254	潮位	65536	28526	3	{n=0}
-144255	发货	65536	21457	3	{v=1, vn=0}
-144256	石油气	65536	198366	3	{n=0}
-144257	绰约多	121221	155194	1	null
-144258	声言	65536	22768	3	{v=2}
-144259	甲种粒	112561	182882	1	null
-144260	绰约多姿	65536	144257	3	{i=0}
-144261	双鸭	68194	21452	1	null
-144262	烘手	65536	28888	3	{v=0}
-144263	污蔑	65536	27745	3	{v=0, vn=0}
-144264	绪方	65536	32490	3	{nr=0}
-144265	绰绰有	123953	155268	1	null
-144266	绰绰有余	65536	144265	3	{i=0}
-144267	绰号	65536	32496	3	{n=0}
-144268	多少	65536	22810	3	{d=0, m=0, r=160}
-144269	绲边	65536	32498	3	{n=0}
-144270	绳之以	123446	144338	1	null
-144271	研究所	65536	150607	3	{n=97}
-144272	绳之以党	111848	144270	1	null
-144273	粤北	65536	31908	3	{ns=0, s=0}
-144274	绳之以党纪	122007	144272	1	null
-144275	烘托	65536	28888	3	{v=6, vn=0}
-144276	绳之以党纪国	116419	144274	1	null
-144277	猫眼	65536	29483	3	{n=1}
-144278	演唱者	65536	146881	3	{n=3}
-144279	第三国	103311	141883	1	null
-144280	绳之以党纪国法	65536	144276	3	{l=1, n=0}
-144281	绳锯木	118254	162486	1	null
-144282	统一体	65536	160982	3	{n=0}
-144283	绳锯木断	65536	144281	3	{i=0}
-144284	目不暇	112430	156302	1	null
-144285	白三烯	65536	193271	3	{n=0}
-144286	维也纳	120221	182515	2	{ns=42}
-144287	维也纳市	65536	144286	3	{ns=0}
-144288	旅游车	65536	146162	3	{n=0}
-144289	维他命	65536	182634	3	{n=0}
-144290	经营不	121972	204321	1	null
-144291	维克斯	65536	183263	3	{nz=0}
-144292	演讲者	65536	160834	3	{n=1}
-144293	柴鸡	65536	26612	3	{n=0}
-144294	绘图仪	65536	145261	3	{n=0}
-144295	维加岛	65536	183604	3	{ns=0}
-144296	维吾尔	118234	184018	2	{nz=19}
-144297	维吾尔族	65536	144296	3	{nz=34}
-144298	散射	97638	25955	2	{v=1}
-144299	维和费	65536	184096	3	{n=1}
-144300	维多利	124179	185262	1	null
-144301	维多利亚	120272	144300	2	{ns=2}
-144302	维多利亚州	65536	144301	3	{ns=1}
-144303	经营业	65536	204321	3	{n=1}
-144304	字频	65536	23383	3	{n=0}
-144305	维妙维	111390	185389	1	null
-144306	维修厂	65536	182914	3	{n=0}
-144307	家务	85654	23478	2	{n=9}
-144308	维妙维肖	65536	144305	3	{i=1}
-144309	土石	70606	22303	1	null
-144310	维尔茨	121750	186024	1	null
-144311	维尔茨堡	120845	144310	1	null
-144312	维尔茨堡宫	65536	144311	3	{ns=0}
-144313	维尼纶	65536	186064	3	{n=0}
-144314	多尿	69269	22810	1	null
-144315	维护型	65536	187704	3	{n=1}
-144316	维持会	65536	187797	3	{n=7}
-144317	多层	71996	22810	1	null
-144318	维新派	65536	188484	3	{n=0}
-144319	维棉布	65536	189277	3	{n=0}
-144320	桑梓	65536	26705	3	{n=2}
-144321	猴皮	103027	29492	1	null
-144322	惊天	92213	24778	1	null
-144323	石炭酸	65536	199378	3	{n=0}
-144324	枪口	65536	26538	3	{n=0}
-144325	维生素	114325	192435	2	{n=2}
-144326	督抚	65536	30563	3	{n=0}
-144327	维生素甲	65536	144325	3	{n=0}
-144328	底账	65536	24213	3	{n=0}
-144329	维管束	65536	194101	3	{n=0}
-144330	维纳斯	65536	194887	3	{nr=0}
-144331	绵延不	118305	152757	1	null
-144332	积极性	65536	187511	3	{n=87}
-144333	彩粉	81046	24425	2	{n=0}
-144334	绵延不断	65536	144331	3	{l=0}
-144335	发起	72363	21457	2	{v=32, vn=1}
-144336	珍珠贝	65536	152474	3	{n=0}
-144337	率直	65536	29575	3	{a=1}
-144338	绳之	124073	32499	1	null
-144339	绵白糖	65536	158780	3	{n=0}
-144340	绵绵不	111865	160948	1	null
-144341	抽冷	92290	25277	1	null
-144342	绵绵不绝	65536	144340	3	{i=0}
-144343	双鹿	65536	21452	3	{nz=0}
-144344	绵里藏	106322	165771	1	null
-144345	绵羊毛	65536	161097	3	{n=0}
-144346	绵里藏针	65536	144344	3	{i=0}
-144347	插画	65536	25554	3	{n=0}
-144348	流星锤	65536	178426	3	{n=0}
-144349	建树	65536	24314	3	{n=6, v=0, vn=2}
-144350	绵阳市	65536	166898	3	{ns=4}
-144351	绶带	103874	32502	2	{n=1}
-144352	惊奇	65536	24778	3	{a=4, an=1}
-144353	绶带鸟	65536	144351	3	{n=0}
-144354	国球	65536	22269	3	{n=1}
-144355	绷子床	65536	144359	3	{n=0}
-144356	显花	94394	26174	1	null
-144357	绸纹纸	65536	156835	3	{n=0}
-144358	碎末	65536	30862	3	{n=0}
-144359	绷子	120153	32503	2	{n=0}
-144360	索乔	114739	32034	1	null
-144361	综上所	107516	144476	1	null
-144362	引力	88121	24341	2	{n=7}
-144363	散居	65536	25955	3	{v=1, vn=0}
-144364	综上所述	65536	144361	3	{c=2}
-144365	建校	65536	24314	3	{v=5, vn=2}
-144366	并联	65536	24182	3	{vn=0}
-144367	综合国力	65536	144961	3	{l=15, n=0}
-144368	穴居	65536	31348	3	{v=0}
-144369	综合大学	65536	145515	3	{l=0}
-144370	综合治理	65536	150527	3	{l=42}
-144371	绿丛丛	65536	191165	3	{z=0}
-144372	绽出	65536	32509	3	{v=1}
-144373	泪盈	98609	27882	1	null
-144374	摩顶	91688	25705	1	null
-144375	绿化带	65536	192440	3	{n=2}
-144376	综治办	65536	152333	3	{j=1}
-144377	某部	65536	26576	3	{r=24}
-144378	李铁	97269	26446	1	null
-144379	盲人	112315	30450	2	{n=1}
-144380	率真	65536	29575	3	{a=0}
-144381	悬赏	65536	24748	3	{v=0, vn=0}
-144382	极乐鸟	65536	148184	3	{n=0}
-144383	绿园区	65536	193423	3	{ns=0}
-144384	涵蓄	65536	28085	3	{a=0}
-144385	绿头巾	65536	194006	3	{n=0}
-144386	头等	79888	22836	2	{b=6, d=1}
-144387	绿孔雀	65536	194550	3	{n=0}
-144388	绿宝石	65536	194623	3	{n=0}
-144389	绿山富	116726	194835	1	null
-144390	桃胶	65536	26691	3	{n=0}
-144391	绿山富民	65536	144389	3	{l=1}
-144392	商酌	65536	21830	3	{v=0}
-144393	夜郎	66314	22812	1	null
-144394	绿帽子	65536	195295	3	{n=0}
-144395	声誉	65536	22768	3	{n=22}
-144396	绿影扶	114303	195603	1	null
-144397	瓶盖	65536	29942	3	{n=0}
-144398	绿影扶疏	65536	144396	3	{l=1}
-144399	盲从	65536	30450	3	{v=0}
-144400	旁若	93605	26049	1	null
-144401	救应	65536	25937	3	{v=0}
-144402	病理科	65536	196139	3	{n=0}
-144403	绿杨乡	65536	197642	3	{ns=0}
-144404	绿林好	116684	197689	1	null
-144405	绿林好汉	65536	144404	3	{n=0}
-144406	楼兰	95764	27004	2	{ns=0}
-144407	寒武	73811	23506	1	null
-144408	抽出	65536	25277	3	{v=3}
-144409	末路	65536	26411	3	{n=0}
-144410	绿林起义	65536	157710	3	{l=0}
-144411	绿树成	110770	197811	1	null
-144412	稠密	65536	31264	3	{a=1}
-144413	绿树成荫	65536	144411	3	{l=1}
-144414	巴县	65536	24052	3	{ns=0}
-144415	绿森森	65536	198032	3	{z=0}
-144416	房屋	65536	25151	3	{n=43}
-144417	瓷器	65536	29943	3	{n=3}
-144418	绿沉沉	65536	198955	3	{z=0}
-144419	绿油油	65536	199003	3	{z=2}
-144420	细胞体	65536	204586	3	{n=0}
-144421	绿泥石	65536	199047	3	{n=0}
-144422	绿生生	65536	201153	3	{z=0}
-144423	浩繁	65536	28009	3	{a=0}
-144424	炉火	100070	28809	2	{n=2}
-144425	绿肥作	115141	204103	1	null
-144426	瓦楞纸	65536	171170	3	{n=0}
-144427	猜猜	65536	29468	3	{v=1}
-144428	常抓	88978	24120	1	null
-144429	炉灰	65536	28809	3	{n=0}
-144430	绿肥作物	65536	144425	3	{l=0}
-144431	建档	78661	24314	2	{v=0}
-144432	次品	65536	27425	3	{n=1}
-144433	氧化酶	65536	127586	3	{n=0}
-144434	头筹	65536	22836	3	{n=0}
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-144437	笔耕墨	108931	195604	1	null
-144438	绿色植	115150	204564	1	null
-144439	绿色植物	65536	144438	3	{l=0, n=0}
-144440	犹疑	65536	29369	3	{a=0, an=0}
-144441	绿茵场	65536	204759	3	{n=0}
-144442	液氧	98628	28082	1	null
-144443	失效	65536	22833	3	{v=1, vn=0}
-144444	得步	74544	24471	1	null
-144445	回落	65536	22238	3	{v=29, vn=10}
-144446	绿茸茸	65536	204762	3	{z=0}
-144447	桃脯	65536	26691	3	{n=0}
-144448	绿荫蔽	118370	204813	1	null
-144449	液氮	65536	28082	3	{n=1}
-144450	沿袭	65536	27839	3	{v=2}
-144451	并肩	89176	24182	2	{d=5, v=0}
-144452	瑞泽	65536	29790	3	{nz=0}
-144453	暖色	85802	26262	2	{n=0}
-144454	房山	93082	25151	2	{ns=1}
-144455	绿荫蔽日	65536	144448	3	{i=0}
-144456	对不	86110	23545	1	null
-144457	绿莹莹	65536	204891	3	{z=0}
-144458	绿葱葱	65536	205075	3	{z=0}
-144459	碱度	65536	30897	3	{n=0}
-144460	绿衣使	111688	206085	1	null
-144461	绿衣使者	65536	144460	3	{n=0}
-144462	杀回	83750	26432	1	null
-144463	绿豆稀饭	65536	144485	3	{n=0}
-144464	绿速达	65536	208065	3	{nz=0}
-144465	缀出	65536	32512	3	{v=1}
-144466	缄口	112005	32516	1	null
-144467	科技委	65536	188514	3	{j=0}
-144468	液汁	65536	28082	3	{n=0}
-144469	情变	65536	24773	3	{n=1}
-144470	失散	65536	22833	3	{v=0}
-144471	突破性	65536	157648	3	{a=0, n=17}
-144472	缄口结	111181	144466	1	null
-144473	缄口结舌	65536	144472	3	{i=0}
-144474	授职	65536	25480	3	{vn=1}
-144475	监控点	65536	161379	3	{n=1}
-144476	综上	119209	32508	1	null
-144477	缆索	65536	32518	3	{n=0}
-144478	缆车道	65536	149153	3	{n=0}
-144479	失敬	65536	22833	3	{v=0}
-144480	缅怀	65536	32517	3	{v=7, vn=1}
-144481	缎子	65536	32526	3	{n=0}
-144482	疲惫	116541	30130	2	{a=3, ad=0, an=1, v=1, vn=0}
-144483	立体图	65536	187868	3	{n=0}
-144484	学徒	79522	23398	2	{n=0}
-144485	绿豆稀	105186	207080	1	null
-144486	正当防	104677	178773	1	null
-144487	缓一缓	65536	154077	3	{i=0}
-144488	缓兵之	108748	154962	1	null
-144489	泪眼	65536	27882	3	{n=1}
-144490	盯梢	65536	30447	3	{v=0}
-144491	片中	65536	29255	3	{s=1}
-144492	白兰瓜	65536	194142	3	{n=0}
-144493	缓兵之计	65536	144488	3	{i=0}
-144494	官服	65536	23448	3	{n=0}
-144495	外差	65536	22806	3	{n=0}
-144496	涂装	65536	28034	3	{v=0}
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-144498	意蕴	65536	24847	3	{n=5}
-144499	缔约国	65536	156824	3	{n=1}
-144500	招呼	65536	25307	3	{v=6, vn=0}
-144501	牛仔衫	65536	174206	3	{n=0}
-144502	缔造者	65536	161298	3	{n=0}
-144503	编制数	65536	193083	3	{n=0}
-144504	更上	101874	26356	1	null
-144505	滴水	111666	28404	2	{n=0, v=1}
-144506	桂林	100687	26690	2	{ns=12}
-144507	珍品	65536	29645	3	{n=3}
-144508	编委会	65536	195033	3	{j=1}
-144509	晚年	65536	26202	3	{n=1, t=17}
-144510	缓冲剂	65536	155023	3	{n=0}
-144511	终身制	65536	174177	3	{n=8}
-144512	桂枝	65536	26690	3	{n=0}
-144513	祈愿	65536	31048	3	{v=2, vn=0}
-144514	外币	65536	22806	3	{n=10}
-144515	外市	65536	22806	3	{n=1}
-144516	编导家	65536	195585	3	{n=1}
-144517	缉私船	65536	150497	3	{n=0}
-144518	满天飞	65536	171650	3	{v=4}
-144519	编年体	65536	196217	3	{n=1}
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-144521	情同	88133	24773	1	null
-144522	清明菜	65536	190248	3	{n=0}
-144523	商量	65536	21830	3	{v=16, vd=0, vn=0}
-144524	寒毛	65536	23506	3	{n=0}
-144525	官本	85001	23448	1	null
-144526	毫米	101009	27627	2	{q=11}
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-144528	治疗费	65536	157555	3	{n=1}
-144529	杏黄	90029	26447	2	{b=0}
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-144531	缉私艇	65536	150497	3	{n=0}
-144532	溶菌	99302	28342	1	null
-144533	编撰者	65536	197813	3	{n=2}
-144534	缔交	65536	32532	3	{v=0}
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-144536	编码器	65536	202758	3	{n=0}
-144537	癸巳	65536	30328	3	{m=0}
-144538	潘家蕃	65536	131892	3	{ns=1}
-144539	泥水选	97769	169987	1	null
-144540	编目员	65536	202483	3	{n=0}
-144541	缕析	65536	32533	3	{v=0}
-144542	粘合	121404	31896	2	{v=0, vn=0}
-144543	编组站	65536	204489	3	{n=2}
-144544	编织袋	65536	204492	3	{n=2}
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-144546	古隆	72732	21476	1	null
-144547	编者按	65536	204810	3	{n=19}
-144548	编译语言	65536	158250	3	{n=0}
-144549	编译器	65536	207830	3	{n=0}
-144550	编选者	65536	208910	3	{n=1}
-144551	外带	65536	22806	3	{n=0, v=0}
-144552	更为	65536	26356	3	{d=51}
-144553	如痴	79136	22914	1	null
-144554	流入量	65536	173120	3	{n=2}
-144555	好声	78743	22909	1	null
-144556	缘木求	104499	150855	1	null
-144557	缘于	65536	32536	3	{c=0, p=2}
-144558	枪响	85332	26538	1	null
-144559	缘木求鱼	65536	144556	3	{i=0}
-144560	毡靴	65536	27617	3	{n=0}
-144561	缘缘堂	65536	156983	3	{nz=0}
-144562	章回	121221	31456	1	null
-144563	桑榆	98540	26705	1	null
-144564	碱式	109236	30897	1	null
-144565	煮饭	65536	29038	3	{v=1}
-144566	淫荡	65536	28139	3	{a=0}
-144567	缜密	65536	32540	3	{a=4, ad=1}
-144568	缝纫机	65536	156150	3	{n=1}
-144569	杜邦	65536	26460	3	{nz=1}
-144570	缝缝补	109657	156264	1	null
-144571	犯不着	65536	141954	3	{v=0}
-144572	示意	117555	31034	2	{v=1}
-144573	抽功	92840	25277	1	null
-144574	缝缝补补	65536	144570	3	{v=1}
-144575	好处	65773	22909	2	{n=33}
-144576	缝衣针	65536	158638	3	{n=0}
-144577	对了	65536	23545	3	{l=3}
-144578	缠绕茎	65536	156821	3	{n=0}
-144579	犯得着	65536	146444	3	{v=0}
-144580	缤纷	65536	32548	3	{z=4}
-144581	寒气	65536	23506	3	{n=10}
-144582	抽动	65536	25277	3	{v=0}
-144583	毡鞋	65536	27617	3	{n=0}
-144584	祷文	65536	31095	3	{n=0}
-144585	对于	65536	23545	3	{p=289}
-144586	缥渺	65536	32549	3	{z=0}
-144587	缩写本	65536	159869	3	{n=0}
-144588	漫步	65536	28459	3	{v=9, vd=0, vn=0}
-144589	缩印本	65536	160340	3	{n=0}
-144590	河西走	104148	177796	1	null
-144591	泰州	104987	27888	2	{ns=1}
-144592	缨子	65536	32552	3	{n=0}
-144593	筹借	65536	31609	3	{v=0}
-144594	缩头缩	111555	161816	1	null
-144595	浴血	107070	28020	2	{v=0, vd=1, vn=0, z=0}
-144596	缩头缩脑	65536	144594	3	{i=0}
-144597	好多	65536	22909	3	{m=10}
-144598	缩微胶	115344	163474	1	null
-144599	缩微胶片	65536	144598	3	{n=0}
-144600	瓷土	65536	29943	3	{n=0}
-144601	秉性	101796	31177	2	{n=0}
-144602	缩手缩	111554	164143	1	null
-144603	第一夫	121618	141874	1	null
-144604	缩手缩脚	65536	144602	3	{i=1}
-144605	缩折伞	65536	164220	3	{n=0}
-144606	缩放仪	65536	164898	3	{n=0}
-144607	奇谈	76492	22855	2	{n=0}
-144608	绍兴	122326	32461	2	{ns=1}
-144609	古雅	65536	21476	3	{a=1}
-144610	好大	79739	22909	1	null
-144611	爆竹	110534	29190	2	{n=20}
-144612	好天	65536	22909	3	{n=0}
-144613	缩水率	65536	166680	3	{n=0}
-144614	毁誉	105125	27585	2	{v=0, vn=0}
-144615	拆解	65536	25286	3	{v=0, vn=7}
-144616	缩略语	65536	169033	3	{n=0}
-144617	失时	65536	22833	3	{v=0}
-144618	缩瞳剂	65536	169623	3	{n=0}
-144619	缩砂密	65536	169702	3	{n=0}
-144620	左证	65536	24038	3	{n=0}
-144621	森警	65536	26862	3	{j=0}
-144622	牛仔裤	65536	174206	3	{n=0}
-144623	好头	65536	22909	3	{n=1}
-144624	缩衣节	105496	173895	1	null
-144625	客车	65536	23458	3	{n=30}
-144626	泰币	65536	27888	3	{n=15}
-144627	才识	65536	25165	3	{n=0}
-144628	液泡	65536	28082	3	{n=0}
-144629	碍手	108717	30861	1	null
-144630	浴衣	65536	28020	3	{n=0}
-144631	缩衣节食	65536	144624	3	{i=0}
-144632	可锻	65536	21487	1	null
-144633	客轮	65536	23458	3	{n=3}
-144634	登机牌	65536	158267	3	{n=2}
-144635	晋材	94358	26187	1	null
-144636	编辑器	65536	208790	3	{n=0}
-144637	缫丝	123261	32555	2	{v=0, vn=0}
-144638	女招	76819	22899	1	null
-144639	缫丝厂	65536	144637	3	{n=0}
-144640	应河	65536	24212	3	{ns=0}
-144641	失明	65536	22833	3	{v=5, vn=0}
-144642	好奇	77143	22909	2	{a=6, an=1, v=0}
-144643	缮写	65536	32558	3	{v=0}
-144644	家史	65536	23478	3	{n=1}
-144645	缭乱	65536	32557	3	{a=0}
-144646	挑肥	91153	25361	1	null
-144647	夜里	65536	22812	3	{t=3}
-144648	绸伞	65536	32504	3	{n=0}
-144649	缰绳	65536	32560	3	{n=1}
-144650	缱绻	65536	32561	3	{a=0}
-144651	理论界	65536	189916	3	{n=8}
-144652	牵涉	95051	29301	2	{v=3, vn=0}
-144653	汽笛	105293	27773	2	{n=2}
-144654	缶掌	65536	32566	3	{n=2}
-144655	缠住	65536	32544	3	{v=1}
-144656	潞西	107863	28510	2	{ns=0}
-144657	缺一不	123175	163924	1	null
-144658	对仗	65536	23545	3	{n=0}
-144659	对付	65536	23545	3	{v=17, vn=0}
-144660	概述	65536	27010	3	{v=2, vn=0}
-144661	狂欢节	65536	166471	3	{n=5}
-144662	缺一不可	65536	144657	3	{i=3}
-144663	官架	81927	23448	1	null
-144664	绕嘴	65536	32469	3	{a=0}
-144665	消费资	104147	188948	1	null
-144666	国画	65536	22269	3	{n=4}
-144667	少部	86218	23569	1	null
-144668	缺医少	111023	165263	1	null
-144669	撒腿	65536	25746	3	{d=0}
-144670	缺医少药	65536	144668	3	{l=2}
-144671	缉拿	65536	32521	3	{v=2}
-144672	引发	65536	24341	3	{v=58}
-144673	笃定	65536	31491	3	{z=0}
-144674	旅游部	65536	146162	3	{n=2}
-144675	缺德事	65536	168459	3	{n=0}
-144676	篮坛	65536	31726	3	{n=1}
-144677	笃实	65536	31491	3	{a=0}
-144678	盘根错	104459	182384	1	null
-144679	巴哈	68900	24052	1	null
-144680	空中楼	102734	192191	1	null
-144681	缺心少肺	65536	144684	3	{l=0}
-144682	声讨	65536	22768	3	{v=0, vn=0}
-144683	国界	65836	22269	2	{n=5}
-144684	缺心少	111727	168471	1	null
-144685	深入虎	99102	177125	1	null
-144686	缺心眼儿	65536	151639	3	{i=0}
-144687	科学性	65536	186696	3	{n=14}
-144688	德班	83447	24503	2	{ns=5}
-144689	声讯	65536	22768	3	{j=1}
-144690	槐黄	65536	27088	3	{n=0}
-144691	广元	85495	24191	2	{ns=0, nz=0}
-144692	更仆	83266	26356	1	null
-144693	粗毛羊	65536	193380	3	{n=0}
-144694	缺斤又短	124695	144732	1	null
-144695	格但	98594	26684	1	null
-144696	好好	81154	22909	2	{d=14, z=0}
-144697	地滚	67337	22320	1	null
-144698	玉兰香	65536	176562	3	{nz=0}
-144699	缺斤又短两	65536	144694	3	{l=1, n=0}
-144700	炼狱	65536	28860	3	{n=0}
-144701	缺斤少两	65536	146853	3	{l=1}
-144702	招商	91707	25307	2	{nz=0, v=4, vn=6}
-144703	缺斤短两	65536	153985	3	{l=2}
-144704	如皋	77986	22914	1	null
-144705	批阅	65536	25209	3	{v=1}
-144706	欺软	101333	27450	1	null
-144707	碗柜	65536	30871	3	{n=0}
-144708	戏馆	90694	25103	1	null
-144709	程海	120797	31243	1	null
-144710	引号	65536	24341	3	{n=0}
-144711	恶毒	65536	24694	3	{a=0}
-144712	牌匾	65536	29260	3	{n=3}
-144713	由此	114408	30001	2	{c=0, d=50}
-144714	测量队	65536	150538	3	{n=0}
-144715	缺水量	65536	171656	3	{n=1}
-144716	照相簿	65536	180224	3	{n=0}
-144717	桔黄	91485	26708	1	null
-144718	缺省值	65536	174421	3	{n=0}
-144719	歪门	89263	27498	1	null
-144720	窑子	65536	31377	3	{n=0}
-144721	实干	82055	23454	2	{v=16, vd=1, vn=1}
-144722	版权页	65536	145801	3	{n=0}
-144723	最终	65536	26368	3	{b=20, d=98}
-144724	外廓	65536	22806	3	{n=0}
-144725	泣诉	65536	27875	3	{v=0}
-144726	烂糊	65536	28866	3	{a=0}
-144727	缺衣少	105593	178871	1	null
-144728	缺衣少食	65536	144727	3	{i=0}
-144729	攀龙	79320	25856	1	null
-144730	罂粟	111276	32578	2	{n=0}
-144731	客运	84079	23458	2	{n=17, vn=0}
-144732	缺斤又	113993	169976	1	null
-144733	罂粟花	65536	144730	3	{n=0}
-144734	折床	65536	25240	3	{n=0}
-144735	罄竹	106149	32580	1	null
-144736	引向	65536	24341	3	{v=0}
-144737	男女老	112580	165179	1	null
-144738	禾木	114290	31166	1	null
-144739	罄竹难	124671	144735	1	null
-144740	烦琐	111028	28902	2	{a=0}
-144741	罄竹难书	65536	144739	3	{i=0}
-144742	禾本	109156	31166	1	null
-144743	罅漏	65536	32581	3	{n=0}
-144744	旁落	65536	26049	3	{v=1}
-144745	浑厚	65536	27985	3	{a=3}
-144746	罐头盒	65536	148038	3	{n=0}
-144747	网中之	104688	184642	1	null
-144748	网中之鱼	65536	144747	3	{n=0}
-144749	网开一面	65536	144774	3	{i=2}
-144750	地漏	65536	22320	3	{n=0}
-144751	多巴	77690	22810	1	null
-144752	网开三面	65536	144783	3	{i=0}
-144753	洁身	95894	27905	1	null
-144754	网状结构	65536	144760	3	{n=0}
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-144756	缘何	65536	32536	3	{r=4}
-144757	缉捕	65536	32521	3	{v=0}
-144758	缓冲区	65536	155023	3	{n=0}
-144759	外延	65536	22806	3	{n=7, vd=0}
-144760	网状结	118254	193995	1	null
-144761	快步	84298	24555	2	{d=1}
-144762	旅检	65536	26053	3	{j=0, vn=2}
-144763	炒汇	65536	28818	3	{v=1, vn=0}
-144764	引吭	70813	24341	1	null
-144765	揭阳	65536	25581	3	{ns=3}
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-144767	名编	65563	21517	1	null
-144768	增高	65536	22686	3	{v=4, vn=0}
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-144770	桃色	65536	26691	3	{n=1}
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-144772	猎人	65536	29454	3	{n=0}
-144773	声调	65536	22768	3	{n=1}
-144774	网开一	105995	188949	1	null
-144775	罗伯特	65536	190578	3	{nr=0}
-144776	圣诞	75524	22307	2	{t=20}
-144777	然而	65536	28982	3	{c=206}
-144778	显著	65536	26174	3	{a=89, ad=11}
-144779	秦皇岛港	65536	140637	3	{ns=0}
-144780	故旧	65536	25925	3	{n=0}
-144781	罗安达	65536	193740	3	{ns=0}
-144782	抽印	89260	25277	2	{v=0}
-144783	网开三	105998	188949	1	null
-144784	款项	65536	27454	3	{n=4}
-144785	罗圈椅	65536	192587	3	{n=0}
-144786	罗定市	65536	193757	3	{ns=0}
-144787	罗山县	65536	193972	3	{ns=1}
-144788	章回小	105708	144562	1	null
-144789	罗布林卡	65536	144797	3	{ns=1}
-144790	狐朋	104719	29392	1	null
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-144792	官样	79314	23448	1	null
-144793	名缰	72779	21517	1	null
-144794	禅机	65536	31109	3	{n=0}
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-144798	罗庄乡	65536	194503	3	{ns=0}
-144799	粪土	65536	31914	3	{n=1}
-144800	流星雨	65536	178426	3	{n=0}
-144801	统一党	65536	160982	3	{n=1}
-144802	救急	65536	25937	3	{v=1, vn=1}
-144803	罗得岛	65536	194778	3	{ns=0}
-144804	簿子	65536	31807	3	{n=3}
-144805	罗摩衍	107781	196012	1	null
-144806	纪检委	65536	160219	3	{j=1}
-144807	外弦	65536	22806	3	{n=0}
-144808	罗摩衍那	65536	144805	3	{nz=0}
-144809	散布	65536	25955	3	{v=4}
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-144811	罗曼史	65536	196671	3	{n=0}
-144812	得法	65536	24471	3	{a=0}
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-144814	巨野	86906	24040	1	null
-144815	楚鲁	98827	26970	1	null
-144816	珠江	65536	29664	3	{n=3, nr=0, ns=22, nz=27}
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-144818	灭绝	112161	28781	2	{v=6, vn=0}
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-144820	款额	65536	27454	3	{n=1}
-144821	女排	65536	22899	3	{n=76}
-144822	禅杖	65536	31109	3	{n=0}
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-144824	张裕	65536	24352	3	{nz=0}
-144825	才貌	93145	25165	2	{n=0}
-144826	罗柴冲	65536	196919	3	{ns=0}
-144827	外强	79151	22806	1	null
-144828	罗洪乡	65536	198253	3	{ns=0}
-144829	罗浮宫	65536	198321	3	{ns=0}
-144830	发车	70188	21457	2	{v=0, vn=0}
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-144832	罗湖区	65536	198553	3	{ns=0}
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-144839	罗滕堡	65536	198680	3	{ns=0}
-144840	罗汉松	65536	198028	3	{n=0}
-144841	罗田县	65536	200307	3	{ns=0}
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-144845	罗甸县	65536	200315	3	{ns=0}
-144846	索债	65536	32034	3	{v=0, vn=0}
-144847	漆膜	65536	28422	3	{n=0}
-144848	多幕	78333	22810	2	{b=0}
-144849	粪坑	65536	31914	3	{n=0}
-144850	测算	65536	27979	3	{v=15, vn=2}
-144851	绍剧	65536	32461	3	{n=0}
-144852	罗织罪	123336	202762	1	null
-144853	罗织罪名	65536	144852	3	{l=0}
-144854	罗荣桓	65536	203942	3	{nr=29}
-144855	密西	70887	23494	1	null
-144856	瑕玷	65536	29781	3	{n=0}
-144857	罗赖马	120830	206489	1	null
-144858	缸体	65536	32568	3	{n=0}
-144859	网络化	65536	197105	3	{v=3, vn=0}
-144860	罗赖马州	65536	144857	3	{ns=0}
-144861	引咎	77204	24341	2	{v=0}
-144862	牝鸡	65536	29277	3	{n=0}
-144863	罗里罗	122875	207631	1	null
-144864	楼区	65536	27004	3	{n=0, s=1}
-144865	罗里罗嗦	65536	144863	3	{z=0}
-144866	探亲	96358	25506	2	{v=9, vn=6}
-144867	外形	65536	22806	3	{n=5}
-144868	罗非鱼	65536	209057	3	{n=0}
-144869	斗烟	98952	26007	1	null
-144870	罗汉果	65536	198028	3	{n=0}
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-144877	罗马数字	65536	147522	3	{l=0}
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-144884	抽取	65536	25277	3	{v=0, vn=0}
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-144888	后藏	65536	21518	3	{ns=0}
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-144975	羁押	65536	32641	3	{v=5, vn=7}
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-145188	外患	65536	22806	3	{n=0}
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-145190	电视机	65536	204299	3	{n=21}
-145191	汤圆	65536	27748	3	{n=1}
-145192	群防群治	65536	145189	3	{l=1}
-145193	滴滤	103913	28404	1	null
-145194	由浅	115022	30001	1	null
-145195	群雄逐	104623	199002	1	null
-145196	组合港	65536	161105	3	{n=1}
-145197	斯莫	95631	26031	1	null
-145198	群雄逐鹿	65536	145195	3	{l=3}
-145199	群魔乱	111892	200170	1	null
-145200	寒湿	65536	23506	3	{a=2}
-145201	秉承	65536	31177	3	{v=1}
-145202	群魔乱舞	65536	145199	3	{i=0}
-145203	群龙无	105886	201263	1	null
-145204	群龙无首	65536	145203	3	{i=1}
-145205	羯羊	65536	32687	3	{n=0}
-145206	羸弱	65536	32696	3	{z=0}
-145207	缎带	65536	32526	3	{n=1}
-145208	羹匙	65536	32697	3	{n=0}
-145209	滴滴	103609	28404	1	null
-145210	绿豆糕	65536	207080	3	{n=0}
-145211	羽毛丰满	65536	145213	3	{i=0}
-145212	封路	65536	23553	3	{v=1}
-145213	羽毛丰	116826	154731	1	null
-145214	多心	65536	22810	3	{a=0}
-145215	罐中	65536	32592	3	{s=1}
-145216	羽毛未丰	65536	151607	3	{i=0}
-145217	浸蚀	65536	28024	3	{v=0}
-145218	羽毛球拍	65536	154896	3	{n=0}
-145219	羽翼渐	125204	159884	1	null
-145220	羽翼渐丰	65536	145219	3	{l=1}
-145221	名胜	72591	21517	2	{n=5}
-145222	焊工	65536	28938	3	{n=1}
-145223	翁婿	65536	32705	3	{n=0}
-145224	合阳	71746	21512	2	{ns=0}
-145225	翁牛特	119158	151331	1	null
-145226	广博	65536	24191	3	{a=2, an=0}
-145227	疟疾	65536	30111	3	{n=1}
-145228	地热	73680	22320	2	{n=0, ns=0}
-145229	翁牛特旗	65536	145225	3	{ns=0}
-145230	翌年	65536	32716	3	{t=1}
-145231	快活	65536	24555	3	{a=0}
-145232	筹办	65536	31609	3	{v=3, vn=0}
-145233	复职	65536	22797	3	{v=0}
-145234	翕张	65536	32725	3	{v=1}
-145235	缝合	65536	32541	3	{v=2, vn=0}
-145236	滴漏	65536	28404	3	{n=0, v=0}
-145237	翎子	65536	32718	3	{n=0}
-145238	硕果	107379	30805	2	{n=7}
-145239	翘尾巴	65536	145269	3	{v=0}
-145240	翘舌音	65536	154947	3	{n=0}
-145241	答卷	65536	31572	3	{n=3}
-145242	碰巧	65536	30896	3	{d=1}
-145243	翔宇	65536	32724	3	{nz=0}
-145244	巴国	65536	24052	3	{ns=0}
-145245	好客	65536	22909	3	{a=2, an=2}
-145246	翘足引	106202	157930	1	null
-145247	电饭锅	65536	208306	3	{n=0}
-145248	翘足引领	65536	145246	3	{i=0}
-145249	斗牛	65536	26007	3	{v=0, vn=0}
-145250	箭垛	118849	31661	1	null
-145251	土管	75058	22303	2	{j=2}
-145252	四言	65757	22235	1	null
-145253	思谋	65536	24605	3	{v=0}
-145254	多快	76531	22810	1	null
-145255	潜水衣	65536	152871	3	{n=0}
-145256	翘辫子	65536	158434	3	{l=0}
-145257	散心	65536	25955	3	{v=2}
-145258	急三	83741	24613	1	null
-145259	富龙	65536	23500	3	{nz=1}
-145260	绝对化	65536	195155	3	{v=0, vn=0}
-145261	绘图	124092	32472	2	{v=1, vn=1}
-145262	急不	91042	24613	1	null
-145263	绣像	65536	32483	3	{n=0}
-145264	炸糕	65536	28856	3	{n=0}
-145265	好家	81682	22909	1	null
-145266	翔实	65536	32724	3	{a=2, ad=1}
-145267	翘首以	120817	160973	1	null
-145268	好容	75803	22909	1	null
-145269	翘尾	121187	32728	1	null
-145270	翘首以待	65536	145267	3	{i=0}
-145271	学报	65536	23398	3	{n=0}
-145272	幽门	65536	24189	3	{n=0}
-145273	牟罗	112808	29279	1	null
-145274	翠柏丛	65536	145403	3	{n=0}
-145275	翠绿色	65536	151339	3	{n=0}
-145276	氧化铁	65536	127586	3	{n=0}
-145277	片儿	105788	29255	2	{n=0, q=1}
-145278	翡翠	65536	32737	3	{n=1}
-145279	翩然	112501	32745	2	{z=0}
-145280	烈火	102185	28872	2	{n=1}
-145281	翩然而	112016	145279	1	null
-145282	幽闲	65536	24189	3	{a=0}
-145283	翩然而至	65536	145281	3	{l=0}
-145284	对光	65536	23545	3	{v=0}
-145285	翩翩少年	65536	145293	3	{n=0}
-145286	羽绒布	65536	159586	3	{n=0}
-145287	演出证	65536	146058	3	{n=1}
-145288	科学技	114062	186696	1	null
-145289	翩翩起舞	65536	157939	3	{i=4}
-145290	底部	65536	24213	3	{f=4}
-145291	翩翩飞舞	65536	160858	3	{l=0}
-145292	翩跹起	111985	152642	1	null
-145293	翩翩少	121105	149042	1	null
-145294	急中	82547	24613	1	null
-145295	翩跹起舞	65536	145292	3	{i=0}
-145296	斜视	96716	26012	2	{n=0, v=0}
-145297	筹募	65536	31609	3	{v=0}
-145298	翰墨	65536	32752	3	{n=0}
-145299	疫疠	65536	30123	3	{n=0}
-145300	毫无疑问	65536	136952	3	{l=10}
-145301	反问	65536	21453	3	{v=1}
-145302	广厦	65536	24191	3	{n=1}
-145303	氧化铜	65536	127586	3	{n=0}
-145304	氧化铝	65536	127586	3	{n=0}
-145305	圣路	70715	22307	1	null
-145306	罩垫	65536	32617	3	{n=0}
-145307	反间	65755	21453	1	null
-145308	斜角	65536	26012	3	{n=0}
-145309	翱翔	118884	32753	2	{v=0, vn=1}
-145310	翱翔机	65536	145309	3	{n=0}
-145311	漫游	101850	28459	2	{v=1, vn=8}
-145312	外感	65536	22806	3	{n=0}
-145313	翻两番	65536	190492	3	{l=1}
-145314	翻云覆	106695	190601	1	null
-145315	头绪	65536	22836	3	{n=3}
-145316	实情	65536	23454	3	{n=3}
-145317	发配	65536	21457	3	{v=0}
-145318	玄明	102734	29572	1	null
-145319	对公	65536	23545	3	{vn=1}
-145320	潮卷	103936	28526	1	null
-145321	狸藻	65536	29432	3	{n=0}
-145322	发酒	65537	21457	1	null
-145323	电解质	65536	204328	3	{n=0}
-145324	头绳	65536	22836	3	{n=0}
-145325	科学报	65536	186696	3	{n=0}
-145326	网状脉	65536	193995	3	{n=0}
-145327	翻云覆雨	65536	145314	3	{i=2}
-145328	线路工	65536	190848	3	{n=2}
-145329	翻天复地	65536	145340	3	{i=0}
-145330	翻天覆地	65536	157749	3	{i=0}
-145331	翻山越	121607	194153	1	null
-145332	翻山越岭	65536	145331	3	{i=4}
-145333	粘土	111746	31896	2	{n=0}
-145334	商铺	65536	21830	3	{n=3}
-145335	情场	65536	24773	3	{n=0}
-145336	疫病	65536	30123	3	{n=1}
-145337	翻斗车	65536	196495	3	{n=0}
-145338	坐骑	65536	22352	3	{n=0}
-145339	沾边	107802	27838	2	{v=0}
-145340	翻天复	123009	193313	1	null
-145341	缨帽	65536	32552	3	{n=0}
-145342	常春	74687	24120	1	null
-145343	实惠	65536	23454	3	{a=8, an=8}
-145344	对内	80786	23545	2	{b=0, d=6, v=0, vn=1}
-145345	广发	65536	24191	3	{nz=0}
-145346	文化馆	65536	168038	3	{n=3}
-145347	竹节虫	65536	198046	3	{n=0}
-145348	翻旧账	65536	196575	3	{l=0}
-145349	照相纸	65536	180224	3	{n=0}
-145350	片冈	65536	29255	3	{nr=0}
-145351	翻来复去	65536	145354	3	{i=0}
-145352	电视柜	65536	204299	3	{n=0}
-145353	翻来覆去	65536	157763	3	{i=1}
-145354	翻来复	123916	196957	1	null
-145355	翻江倒	117333	198231	1	null
-145356	翻江倒海	65536	145355	3	{i=0}
-145357	发酵	65539	21457	2	{v=1, vn=1}
-145358	桥牌	88709	26725	2	{n=8}
-145359	微服	80342	24494	1	null
-145360	发酸	65536	21457	3	{v=1}
-145361	坐骨	66218	22352	2	{n=0}
-145362	翻然悔	120629	199470	1	null
-145363	烛花	65536	28891	3	{n=0}
-145364	翻然悔悟	65536	145362	3	{i=0}
-145365	翻白眼	65536	200821	3	{l=0}
-145366	瑕疵	65536	29781	3	{n=3}
-145367	翻砂工	65536	201210	3	{n=0}
-145368	碗橱	65536	30871	3	{n=0}
-145369	翻箱倒	118783	202153	1	null
-145370	百花洲	65536	195210	3	{nz=1}
-145371	翻箱倒柜	65536	145369	3	{i=0}
-145372	女方	65536	22899	3	{n=4}
-145373	烈烈	65536	28872	3	{z=1}
-145374	翻老账	65536	203257	3	{l=0}
-145375	翻跟头	65536	206807	3	{l=0}
-145376	百分比	65536	182751	3	{n=1}
-145377	旅欧	65536	26053	3	{j=0, v=0, vn=2}
-145378	翻身仗	65536	207011	3	{n=0}
-145379	翻译器	65536	206281	3	{n=0}
-145380	更其	65536	26356	3	{d=1}
-145381	漫湾	65536	28459	3	{ns=1}
-145382	翻车鱼	65536	207198	3	{n=0}
-145383	翼城县	65536	147692	3	{ns=2}
-145384	细菌战	65536	205336	3	{n=0}
-145385	盲动	65536	30450	3	{v=0, vn=1}
-145386	翼手目	65536	150377	3	{n=0}
-145387	耀华力	109055	145463	1	null
-145388	急事	65536	24613	3	{n=1}
-145389	对冲	65536	23545	3	{v=0, vd=0, vn=2}
-145390	耀华力路	65536	145387	3	{ns=1}
-145391	急于	84818	24613	2	{v=5, vd=0}
-145392	市用	87616	24066	1	null
-145393	翅子	65536	32709	3	{n=0}
-145394	耀武扬	122354	151631	1	null
-145395	耀武扬威	65536	145394	3	{i=0}
-145396	老一套	65536	205409	3	{n=0}
-145397	老丈人	65536	205417	3	{n=1}
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-145399	老三届	65536	205418	3	{j=4}
-145400	广合	70528	24191	1	null
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-145402	老两口	65536	205445	3	{n=3}
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-145404	微机	90247	24494	2	{n=16}
-145405	市电	65536	24066	3	{n=0}
-145406	稚气	65536	31258	3	{a=0, n=0}
-145407	家园	65536	23478	3	{j=0, n=36, nz=0}
-145408	老中青	65536	205454	3	{j=0}
-145409	对准	65536	23545	3	{v=8}
-145410	潜伏	107295	28508	2	{v=4, vn=1}
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-145413	老人家	65536	205595	3	{n=8}
-145414	老伙计	65536	205690	3	{n=0}
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-145448	扬花	65536	25196	3	{v=1}
-145449	老头儿	65536	208277	3	{n=0}
-145450	老套子	65536	208312	3	{n=0}
-145451	老奶奶	65536	208343	3	{n=3}
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-145453	老奸巨滑	65536	145452	3	{i=0}
-145454	服罪	65536	26381	3	{v=0}
-145455	老好人	65536	208350	3	{n=2}
-145456	老妪能	110158	208395	1	null
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-145459	老姐儿	65536	208433	3	{n=0}
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-145461	歪风	89267	27498	2	{n=4}
-145462	老妈妈	65536	208361	3	{n=3}
-145463	耀华	124240	32768	2	{nz=0}
-145464	老太公	65536	208267	3	{n=0}
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-145466	广告	89684	24191	2	{n=89}
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-145468	老宋体	65536	208876	3	{n=0}
-145469	滇西	65536	28359	3	{j=0}
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-145471	老官堡	125414	208889	1	null
-145472	多情	65536	22810	3	{a=0, an=1}
-145473	猎具	65536	29454	3	{n=0}
-145474	女星	65536	22899	3	{n=0}
-145475	头羊	65536	22836	3	{n=0}
-145476	电气石	65536	196697	3	{n=0}
-145477	烈焰	65536	28872	3	{n=1}
-145478	烹茶	65536	28921	3	{v=0}
-145479	老官堡乡	65536	145471	3	{ns=0}
-145480	眷眷	118508	30519	1	null
-145481	献殷	113310	29486	1	null
-145482	癌症	65536	30284	3	{n=12}
-145483	老实事	65536	208895	3	{n=0}
-145484	碟片	65536	30879	3	{n=4}
-145485	旱稻	65536	26097	3	{n=0}
-145486	畜牧	116329	30044	2	{n=7}
-145487	电离能	65536	200192	3	{n=0}
-145488	症状	65536	30151	3	{n=5}
-145489	精品店	65536	194956	3	{n=0}
-145490	羞耻感	65536	164974	3	{n=0}
-145491	涉禽	65536	28041	3	{n=0}
-145492	欧盟	65536	27431	3	{j=158}
-145493	幽雅	65536	24189	3	{a=0}
-145494	老实巴交	65536	149428	3	{i=0}
-145495	急件	65536	24613	3	{n=1}
-145496	老家伙	65536	208919	3	{n=0}
-145497	巴基	82404	24052	1	null
-145498	老寨村	65536	208969	3	{ns=0}
-145499	生成素	65536	193577	3	{n=4}
-145500	老寿星	65536	208992	3	{n=7}
-145501	父系	65536	29238	3	{b=0}
-145502	猴筋	65536	29492	3	{n=0}
-145503	穿云裂	110557	157589	1	null
-145504	密谈	65536	23494	3	{v=0}
-145505	托起	65536	25176	3	{v=0}
-145506	游泳队	65536	180491	3	{n=9}
-145507	密谋	65536	23494	3	{v=1}
-145508	老少咸宜	65536	145528	3	{l=1}
-145509	罐体	65536	32592	3	{n=1}
-145510	夏锄	65536	22799	3	{n=0}
-145511	老少无欺	65536	149920	3	{l=0}
-145512	直接肥	112083	186363	1	null
-145513	烤鸭	108558	28900	2	{n=0}
-145514	布洒	65536	24067	3	{v=1}
-145515	综合大	120971	146010	1	null
-145516	抽噎	65536	25277	3	{v=0}
-145517	异烟	77390	24322	1	null
-145518	系统工	111480	155211	1	null
-145519	注意	107841	27880	2	{v=128, vn=10}
-145520	秸秆	65536	31224	3	{n=6}
-145521	插科	92081	25554	1	null
-145522	老少皆知	65536	154182	3	{l=0}
-145523	目无法	105559	162401	1	null
-145524	老少边穷	65536	160633	3	{j=5}
-145525	终南捷	119267	158989	1	null
-145526	污言	96780	27745	1	null
-145527	老工人	65536	209478	3	{n=11}
-145528	老少咸	122056	209010	1	null
-145529	片刻	65536	29255	3	{m=7, t=0}
-145530	老师傅	65536	209513	3	{n=2}
-145531	盲区	65536	30450	3	{n=0}
-145532	多愁	77558	22810	1	null
-145533	游览车	65536	187872	3	{n=0}
-145534	欠身	65536	27424	3	{v=0}
-145535	秀媚	65536	31168	3	{a=0}
-145536	片剂	65536	29255	3	{n=0}
-145537	瞎炮	65536	30606	3	{n=0}
-145538	空调机	65536	208021	3	{n=1}
-145539	老年痴呆	115391	155716	1	null
-145540	算术课	65536	166773	3	{n=0}
-145541	老干局	65536	209619	3	{j=1}
-145542	老年痴呆症	65536	145539	3	{n=0}
-145543	插秧	90833	25554	2	{v=1, vn=0}
-145544	古马	72682	21476	1	null
-145545	箱子	65536	31665	3	{n=3}
-145546	老弱残兵	65536	145549	3	{l=0}
-145547	换上	65536	25442	3	{v=6}
-145548	格力	65536	26684	3	{nz=1}
-145549	老弱残	124693	209810	1	null
-145550	老弱病残	122171	148167	2	{j=0}
-145551	淘汰赛	65536	130485	3	{n=1}
-145552	老弱病残孕	65536	145550	3	{j=1, n=0}
-145553	滴灌	65536	28404	3	{v=0, vn=2}
-145554	漫漫	65536	28459	3	{a=0, z=2}
-145555	老当益	122794	209844	1	null
-145556	护理	78381	25252	2	{v=1, vn=3}
-145557	碑名	65536	30865	3	{n=0}
-145558	次大	87244	27425	1	null
-145559	涌起	65536	28044	3	{v=0}
-145560	老当益壮	65536	145555	3	{i=1}
-145561	左轮	83109	24038	2	{n=0}
-145562	老态龙	107517	210018	1	null
-145563	外戚	65536	22806	3	{n=0}
-145564	老态龙钟	65536	145562	3	{i=0}
-145565	篆字	65536	31686	3	{n=0}
-145566	老成持	108242	210545	1	null
-145567	老成持重	65536	145566	3	{i=0}
-145568	废话	65536	24223	3	{n=1}
-145569	老成练达	65536	152672	3	{i=0}
-145570	常有	65536	24120	3	{d=6}
-145571	炉瓦	65536	28809	3	{n=0}
-145572	缓冲器	65536	155023	3	{n=0}
-145573	老把戏	65536	210667	3	{n=0}
-145574	老挝人	117910	210814	1	null
-145575	老挝人民	117912	145574	1	null
-145576	耀县	65536	32768	3	{ns=0}
-145577	老挝人民民	125551	145575	1	null
-145578	老挝人民民主	124730	145577	1	null
-145579	老挝人民民主共	123939	145578	1	null
-145580	窜犯	65536	31388	3	{v=0}
-145581	潮呼	110324	28526	1	null
-145582	晚报	65536	26202	3	{n=20}
-145583	老挝人民民主共和	123315	145579	1	null
-145584	老挝人民民主共和国	65536	145583	3	{ns=1}
-145585	老掉牙	65536	210922	3	{l=1}
-145586	癸戌	65536	30328	3	{m=0}
-145587	巴塔	86709	24052	1	null
-145588	老大不	121876	208264	1	null
-145589	老搭档	65536	211086	3	{n=0}
-145590	老有所	124732	211818	1	null
-145591	老有所养	65536	145590	3	{i=1}
-145592	热心肠	65536	186576	3	{n=1}
-145593	老朋友	65536	211820	3	{n=7}
-145594	夜长	72785	22812	1	null
-145595	玉米花	65536	187573	3	{n=0}
-145596	老板娘	65536	211936	3	{n=0}
-145597	巴塞	84884	24052	1	null
-145598	老框框	65536	212135	3	{n=0}
-145599	意见	93615	24847	2	{n=180}
-145600	积分榜	65536	182012	3	{n=11}
-145601	地牢	65536	22320	3	{n=0}
-145602	老来俏	65536	211910	3	{n=0}
-145603	老死不	115148	212956	1	null
-145604	老死不相	121161	145603	1	null
-145605	翼侧	65536	32764	3	{n=0}
-145606	离心机	65536	186963	3	{n=0}
-145607	易经	65536	26131	3	{n=0, nz=1}
-145608	地物	65536	22320	3	{n=0}
-145609	老死不相往	119142	145604	1	null
-145610	猎刀	65536	29454	3	{n=0}
-145611	老死不相往来	65536	145609	3	{i=0}
-145612	老毛病	65536	213052	3	{n=0}
-145613	弹花	84317	24377	1	null
-145614	绒头	111397	32466	1	null
-145615	老气横	114447	213109	1	null
-145616	奇迹	65536	22855	3	{n=31}
-145617	枪声	65536	26538	3	{n=2}
-145618	玄机	65536	29572	3	{n=2}
-145619	望眼	95239	26395	1	null
-145620	罗马市	65536	209839	3	{ns=0}
-145621	浑圆	65536	27985	3	{z=2}
-145622	绣制	65536	32483	3	{v=1, vn=1}
-145623	挂一	87862	25346	1	null
-145624	糊弄	65536	31946	3	{v=0}
-145625	换乘	65536	25442	3	{v=0, vn=0}
-145626	老气横秋	65536	145615	3	{i=0}
-145627	商队	65536	21830	3	{n=0}
-145628	老江湖	65536	213184	3	{n=0}
-145629	老河口	121564	213268	2	{n=0}
-145630	老河口市	65536	145629	3	{ns=0}
-145631	反霸	65536	21453	3	{v=0}
-145632	老油子	65536	213274	3	{n=0}
-145633	老泪横流	65536	145640	3	{l=0}
-145634	次女	65536	27425	3	{n=0}
-145635	老泪纵横	65536	150899	3	{l=1}
-145636	左边	65536	24038	3	{f=1}
-145637	老父亲	65536	214679	3	{n=3}
-145638	同路	73494	21516	2	{v=0}
-145639	经销家	65536	208636	3	{n=1}
-145640	老泪横	117664	213323	1	null
-145641	幽静	65536	24189	3	{a=2}
-145642	科教文	119156	189243	1	null
-145643	名节	65536	21517	3	{n=1}
-145644	老牛破车	65536	145646	3	{i=0}
-145645	对劲	85627	23545	2	{a=0}
-145646	老牛破	108934	214716	1	null
-145647	罗马帝	122604	209839	1	null
-145648	移交	65536	31227	3	{v=16, vn=0}
-145649	摇鹅	89899	25671	1	null
-145650	老牛舐犊	65536	148170	3	{i=0}
-145651	折戟	87611	25240	1	null
-145652	烤麸	65536	28900	3	{n=0}
-145653	老犟头	65536	214784	3	{n=0}
-145654	老爷兵	65536	214680	3	{n=0}
-145655	实战	65536	23454	3	{n=1}
-145656	老狐狸	65536	214833	3	{n=0}
-145657	稀稀疏	110733	161640	1	null
-145658	感染	92629	24863	2	{v=19, vn=4}
-145659	箭头	65536	31661	3	{n=1}
-145660	老玉米	65536	215018	3	{n=0}
-145661	后裔	65536	21518	3	{n=0}
-145662	老生常	109815	215424	1	null
-145663	老生常谈	65536	145662	3	{i=0}
-145664	情境	65536	24773	3	{n=1}
-145665	珍奇	65536	29645	3	{a=0, an=0}
-145666	租价	65536	31199	3	{n=0}
-145667	老病号	65536	215590	3	{n=0}
-145668	老白干	65536	215774	3	{n=0}
-145669	老百姓	65536	215775	3	{n=66, vn=0}
-145670	老皇历	65536	215784	3	{n=0}
-145671	老眼光	65536	215965	3	{n=2}
-145672	织就	65536	32455	3	{v=1}
-145673	反面	72292	21453	2	{b=3, n=3}
-145674	老年人	65536	209621	3	{n=9}
-145675	珊瑚虫	65536	134936	3	{n=0}
-145676	老相好	65536	215897	3	{n=0}
-145677	老着脸	115297	215969	1	null
-145678	更加	65536	26356	3	{d=230}
-145679	老着脸皮	65536	145677	3	{l=0}
-145680	反革	70819	21453	1	null
-145681	督查	65536	30563	3	{j=0, v=0}
-145682	老祖宗	65536	216503	3	{n=1}
-145683	测绘	108829	27979	2	{v=2, vn=18}
-145684	绘图员	65536	145261	3	{n=0}
-145685	疾病	65536	30142	3	{n=36}
-145686	更动	65536	26356	3	{vn=0}
-145687	汤壶	65536	27748	3	{n=0}
-145688	老糊涂	65536	217387	3	{n=0}
-145689	篮子	65536	31726	3	{n=3}
-145690	名花	69492	21517	2	{n=0}
-145691	折扇	65536	25240	3	{n=0}
-145692	热水袋	65536	189761	3	{n=0}
-145693	老红军	65536	217859	3	{n=6}
-145694	奇遇	65536	22855	3	{n=4}
-145695	珍奥	65536	29645	3	{nz=0}
-145696	添补	65536	28155	3	{v=2}
-145697	窘态	65536	31384	3	{n=1}
-145698	老羞成	121107	218111	1	null
-145699	杀害	65536	26432	3	{v=1, vn=0}
-145700	急促	65536	24613	3	{a=1}
-145701	老羞成怒	65536	145698	3	{i=0}
-145702	编年史	65536	196217	3	{n=0}
-145703	老老实	122251	218210	1	null
-145704	滚动	107114	28378	2	{v=10, vd=5, vn=1}
-145705	老老实实	65536	145703	3	{z=2}
-145706	汽缸	65536	27773	3	{n=0}
-145707	声辩	65536	22768	3	{v=0}
-145708	烂肠	102418	28866	1	null
-145709	老脑筋	65536	218482	3	{n=0}
-145710	女朋	79822	22899	1	null
-145711	夜间	65536	22812	3	{f=0, n=2, t=12}
-145712	女服	65536	22899	3	{n=0}
-145713	老脾气	65536	218527	3	{n=0}
-145714	实打	82095	23454	1	null
-145715	换亲	65536	25442	3	{v=0}
-145716	老蚌生	116053	219885	1	null
-145717	老蚌生珠	65536	145716	3	{i=0}
-145718	老花眼	65536	218898	3	{n=0}
-145719	折扣	65536	25240	3	{n=3}
-145720	老街坊	65536	220344	3	{n=0}
-145721	老街旧邻	65536	149461	3	{l=0}
-145722	老虎凳	65536	219823	3	{n=0}
-145723	换人	65536	25442	3	{v=1}
-145724	杀富	95303	26432	1	null
-145725	定婚	65536	23450	3	{v=0}
-145726	老规矩	65536	220709	3	{n=2}
-145727	止血	99161	27490	2	{v=0, vn=0}
-145728	老视眼	65536	220711	3	{n=0}
-145729	痰盂	65536	30192	3	{n=0}
-145730	桂江	65536	26690	3	{ns=0}
-145731	老调重	121355	221284	1	null
-145732	老调重弹	65536	145731	3	{i=0}
-145733	森达	65536	26862	3	{nz=0}
-145734	老谋深	114097	221292	1	null
-145735	浩荡	65536	28009	3	{v=1, vn=2}
-145736	老谋深算	65536	145734	3	{i=0}
-145737	思路	65536	24605	3	{n=80}
-145738	巴士	84244	24052	2	{n=7, nz=0}
-145739	目光短	109982	157130	1	null
-145740	夜阑	79425	22812	1	null
-145741	老豆腐	65536	221351	3	{n=0}
-145742	老资格	65536	221605	3	{n=1}
-145743	老铁山	65536	223522	3	{ns=0}
-145744	地狱	65671	22320	2	{n=1}
-145745	老闺女	65536	223835	3	{n=0}
-145746	老顽固	65536	224478	3	{n=0}
-145747	老面子	65536	224195	3	{n=0}
-145748	牌坊	109341	29260	2	{n=1, ns=0}
-145749	汤头	89798	27748	2	{ns=0}
-145750	老马识	108868	224973	1	null
-145751	瓷实	65536	29943	3	{a=1}
-145752	老马识途	65536	145750	3	{i=1}
-145753	老骥伏	119222	225030	1	null
-145754	整个	65536	25972	3	{b=198, d=0, m=2, n=0}
-145755	老骥伏枥	65536	145753	3	{i=0}
-145756	繁荣富	118685	172824	1	null
-145757	老龄化	65536	226277	3	{v=0, vn=1}
-145758	老龙头	65536	226298	3	{ns=0}
-145759	绘声	111521	32472	1	null
-145760	暖融	86948	26262	1	null
-145761	老黄历	65536	226085	3	{n=0}
-145762	考古学	122285	184414	2	{n=14}
-145763	考古学家	65536	145762	3	{n=4}
-145764	换代	65536	25442	3	{v=0, vn=0}
-145765	浪船	65536	28010	3	{n=0}
-145766	女权	65536	22899	3	{n=0}
-145767	考察队员	65536	161963	3	{n=7}
-145768	圣达	65537	22307	1	null
-145769	考勤簿	65536	184158	3	{n=0}
-145770	索取	65536	32034	3	{v=9, vn=0}
-145771	考核表	65536	189618	3	{n=1}
-145772	考茨基	65536	196514	3	{nr=0}
-145773	比翼鸟	65536	178506	3	{n=0}
-145774	考察团	65536	186457	3	{n=6}
-145775	考试题	65536	198735	3	{n=0}
-145776	耄耋	125737	32772	1	null
-145777	救援	84927	25937	2	{v=6, vn=21}
-145778	版本	112056	29256	2	{n=9}
-145779	电脑班	65536	202070	3	{n=0}
-145780	耄耋之	121602	145776	1	null
-145781	官气	65536	23448	3	{n=1}
-145782	耄耋之年	65536	145780	3	{i=0}
-145783	复色	78113	22797	1	null
-145784	耄耋高龄	65536	165377	3	{l=1}
-145785	步步高	65536	141217	3	{nz=3}
-145786	而立之	121608	158007	1	null
-145787	流水账	65536	179983	3	{n=0}
-145788	而立之年	65536	145786	3	{i=4}
-145789	耍嘴皮	122415	158988	1	null
-145790	左道	82228	24038	1	null
-145791	耍嘴皮子	65536	145789	3	{l=0}
-145792	耍威风	65536	159961	3	{l=0}
-145793	耍心眼	65536	161435	3	{v=0}
-145794	消耗量	65536	185586	3	{n=0}
-145795	外挂	65536	22806	3	{v=0, vn=1}
-145796	实报	82099	23454	1	null
-145797	对半	65536	23545	3	{m=0}
-145798	耍态度	65536	161497	3	{v=0}
-145799	头胎	65536	22836	3	{n=0}
-145800	后襟	65536	21518	3	{n=0}
-145801	版权	105693	29256	2	{n=12}
-145802	耍手段	65536	162083	3	{l=0}
-145803	弹药	86534	24377	2	{n=1}
-145804	粮食局	65536	180038	3	{n=2}
-145805	耍把戏	65536	162146	3	{l=0}
-145806	耍排场	65536	162410	3	{l=0}
-145807	旅法	65536	26053	3	{vn=1}
-145808	家塾	65536	23478	3	{n=0}
-145809	置业	65536	32622	3	{n=3, vn=0}
-145810	耍无赖	65536	163000	3	{l=0}
-145811	女杰	65536	22899	3	{n=0}
-145812	耍流氓	65536	164889	3	{l=0}
-145813	家境	65536	23478	3	{n=8}
-145814	流离颠	101775	183446	1	null
-145815	圣迭	71756	22307	1	null
-145816	耍笔杆	65536	168428	3	{l=0}
-145817	移位	65536	31227	3	{v=0, vn=0}
-145818	耍脾气	65536	170006	3	{l=0}
-145819	惊异	65536	24778	3	{v=1, vn=0}
-145820	耍贫嘴	65536	173059	3	{l=0}
-145821	耍花招	65536	170377	3	{l=0}
-145822	寒热	65536	23506	3	{n=0}
-145823	名茶	65536	21517	3	{n=0}
-145824	耍赖皮	65536	173102	3	{l=0}
-145825	声速	65536	22768	3	{n=0}
-145826	女板	65536	22899	3	{j=3}
-145827	状纸	65536	29366	3	{n=0}
-145828	消费量	65536	188948	3	{n=6}
-145829	耐人寻味	65536	145831	3	{i=2}
-145830	耐人深思	65536	150429	3	{l=0}
-145831	耐人寻	124210	156927	1	null
-145832	情夫	65536	24773	3	{n=0}
-145833	耐人玩味	65536	151893	3	{i=0}
-145834	耐旱性	65536	162870	3	{n=0}
-145835	耐火材料	65536	145867	3	{l=3}
-145836	惊弓	93339	24778	1	null
-145837	生意盎	106589	193320	1	null
-145838	耐火黏土	65536	160074	3	{l=0}
-145839	批驳	65536	25209	3	{v=0, vn=0}
-145840	沈阳	104073	27784	2	{ns=66}
-145841	头胸	65568	22836	1	null
-145842	拜见	65536	25308	3	{v=0}
-145843	漫灌	65536	28459	3	{v=0, vn=1}
-145844	消防队	65536	191245	3	{n=4}
-145845	耐热合金	65536	145855	3	{l=0}
-145846	彩色	84247	24425	2	{b=17, n=0}
-145847	归真	74035	24402	1	null
-145848	氟骨	97150	27679	1	null
-145849	耐用品	65536	166765	3	{n=1}
-145850	实招	65536	23454	3	{n=1}
-145851	耐磨性	65536	167725	3	{n=0}
-145852	市直	65536	24066	3	{b=1, j=5}
-145853	未知	97030	26410	2	{v=2, vn=2}
-145854	护田	88960	25252	1	null
-145855	耐热合	108516	165682	1	null
-145856	耐药性	65536	170420	3	{n=0}
-145857	回见	65536	22238	3	{v=0}
-145858	置之	124960	32622	1	null
-145859	网络图	65536	197105	3	{n=0}
-145860	耒阳	65536	32786	3	{ns=0}
-145861	耗子药	65536	151393	3	{n=1}
-145862	耗热量	65536	156926	3	{n=0}
-145863	耗电量	65536	158022	3	{n=0}
-145864	多才	76643	22810	1	null
-145865	耘锄	65536	32792	3	{n=0}
-145866	头脑	65536	22836	3	{n=28}
-145867	耐火材	119826	165552	1	null
-145868	耗油率	65536	155850	3	{n=0}
-145869	耦耕乡	65536	157168	3	{ns=0}
-145870	换位	65536	25442	3	{v=0, vn=0}
-145871	根底	65536	26681	3	{n=1}
-145872	敬老	97618	25964	2	{v=2, vn=1}
-145873	耪地	65536	32810	3	{v=0}
-145874	耕作	65536	32789	3	{v=0, vn=4}
-145875	溢洪道	65536	139149	3	{n=0}
-145876	复苏	65536	22797	3	{v=12, vn=7}
-145877	声道	65536	22768	3	{n=0}
-145878	耳刮子	65536	188965	3	{n=0}
-145879	耙子	65536	32793	3	{n=0}
-145880	名药	65536	21517	3	{n=1}
-145881	耳听为虚	65536	145887	3	{l=1}
-145882	活蹦蹦	65536	188837	3	{z=0}
-145883	敬而	81656	25964	1	null
-145884	耳听八方	65536	146704	3	{i=1}
-145885	浪花	65536	28010	3	{n=2}
-145886	牵牛	107664	29301	2	{n=0}
-145887	耳听为	111487	189475	1	null
-145888	笨手	110233	31528	1	null
-145889	罗马式	65536	209839	3	{b=1}
-145890	编者案	65536	204810	3	{n=0}
-145891	耦合	65536	32806	3	{vn=0}
-145892	泰拳	65536	27888	3	{n=0}
-145893	毫无顾	92581	138747	1	null
-145894	左邻	86788	24038	1	null
-145895	汤姆	101983	27748	1	null
-145896	混淆视	109069	148034	1	null
-145897	耳挖子	65536	193293	3	{n=0}
-145898	整人	65536	25972	3	{v=0}
-145899	耳提面	124273	193479	1	null
-145900	络子	65536	32476	3	{n=0}
-145901	国税	72816	22269	2	{j=4, n=0}
-145902	耳提面命	65536	145899	3	{i=1}
-145903	后视	71687	21518	1	null
-145904	狐步	65536	29392	3	{n=0}
-145905	散手	65536	25955	3	{n=1}
-145906	耳旁风	65536	193976	3	{n=0}
-145907	耳根清	124981	194608	1	null
-145908	潭边	65536	28525	3	{n=1}
-145909	耳根清净	65536	145907	3	{i=0}
-145910	耳朵垂	65536	194348	3	{n=0}
-145911	异物	65536	24322	3	{n=0}
-145912	瘦果	65536	30246	3	{n=0}
-145913	散打	65536	25955	3	{n=0, v=0}
-145914	编辑学	65536	208790	3	{n=0}
-145915	杜门	87638	26460	1	null
-145916	权能	65536	26435	3	{n=0}
-145917	耳濡目	119340	196568	1	null
-145918	老妈子	65536	208361	3	{n=0}
-145919	耳濡目染	65536	145917	3	{i=1}
-145920	流通量	65536	189173	3	{n=1}
-145921	盼盼	65536	30460	3	{nz=1}
-145922	滞销货	65536	148136	3	{n=0}
-145923	耳熟能	110113	197014	1	null
-145924	情妇	65536	24773	3	{n=0}
-145925	置于	111909	32622	2	{v=11}
-145926	狐死	94803	29392	1	null
-145927	耳熟能详	65536	145923	3	{i=1}
-145928	耳目一	119897	198373	1	null
-145929	耳目一新	65536	145928	3	{i=9}
-145930	晋江	97270	26187	2	{ns=1}
-145931	滚压	65536	28378	3	{v=0}
-145932	耳聪目	119807	200801	1	null
-145933	耳聪目明	65536	145932	3	{i=0}
-145934	耳软心	117978	204646	1	null
-145935	玫瑰色	65536	134786	3	{n=0}
-145936	润饰	65536	28070	3	{v=0}
-145937	百衲衣	65536	196683	3	{n=0}
-145938	多抗	65536	22810	3	{b=2}
-145939	犟脾	106334	29343	1	null
-145940	清洁费	65536	192027	3	{n=1}
-145941	耳软心活	65536	145934	3	{i=0}
-145942	窃据	65536	31363	3	{v=0}
-145943	张贴	65536	24352	3	{v=7, vn=1}
-145944	子规	65536	23376	3	{n=0}
-145945	琐碎	65536	29712	3	{a=3}
-145946	耳边风	65536	204720	3	{n=1}
-145947	生意眼	65536	193320	3	{n=0}
-145948	耳闻目	115366	206322	1	null
-145949	电管站	65536	200678	3	{n=8}
-145950	对口	75972	23545	2	{a=13, ad=10, n=1, v=1, vd=0, vn=0}
-145951	耳闻目睹	65536	145948	3	{i=2}
-145952	耳鬓厮	115001	207626	1	null
-145953	耳鬓厮磨	65536	145952	3	{i=0}
-145954	建湖	88661	24314	2	{ns=0}
-145955	耳鼻喉	114772	208690	1	null
-145956	硅橡	106383	30789	1	null
-145957	耳鼻喉科	65536	145955	3	{n=0}
-145958	外接	76890	22806	1	null
-145959	耶和华	65536	145974	3	{n=0}
-145960	耶稣教	121495	155597	2	{n=0}
-145961	耶稣教徒	65536	145960	3	{n=0}
-145962	租借	118272	31199	2	{v=3, vn=0}
-145963	对台	81327	23545	1	null
-145964	生殖细	102633	196015	1	null
-145965	稍微	65536	31245	3	{d=3}
-145966	耶路撒	125048	160665	1	null
-145967	耶路撒冷	123506	145966	2	{ns=26}
-145968	耷拉	65536	32823	3	{v=1}
-145969	耸人听	107578	145972	1	null
-145970	对号	65536	23545	3	{v=0, vd=0}
-145971	定子	65536	23450	3	{n=0}
-145972	耸人	124421	32824	1	null
-145973	耸人听闻	65536	145969	3	{i=0}
-145974	耶和	124633	32822	1	null
-145975	耿庄镇	65536	145979	3	{ns=1}
-145976	片言只语	65536	133537	3	{i=0}
-145977	布满	65536	24067	3	{v=7}
-145978	怀远	90944	24576	1	null
-145979	耿庄	107760	32831	1	null
-145980	耿耿不	121447	154614	1	null
-145981	统计学	65536	176759	3	{n=0}
-145982	炼石	97720	28860	1	null
-145983	耿耿不忘	65536	145980	3	{l=1}
-145984	耶路撒冷城	65536	145967	3	{ns=0}
-145985	插管	65536	25554	3	{n=0}
-145986	耿耿于怀	65536	146109	3	{i=1}
-145987	耽于	65536	32829	3	{v=0}
-145988	异状	65536	24322	3	{n=0}
-145989	名菜	65536	21517	3	{n=0}
-145990	汽联	65536	27773	3	{j=0}
-145991	聂庄村	65536	145999	3	{ns=0}
-145992	耻笑	65536	32827	3	{v=0, vn=0}
-145993	根式	65536	26681	3	{n=0}
-145994	编辑家	65536	208790	3	{n=1}
-145995	片名	65536	29255	3	{n=5}
-145996	聂荣县	65536	155438	3	{ns=3}
-145997	实据	65536	23454	3	{n=1}
-145998	玫瑰花	65536	134786	3	{n=0}
-145999	聂庄	119542	32834	1	null
-146000	聆听	65536	32838	3	{v=5}
-146001	罐儿	65536	32592	3	{n=0}
-146002	聊以卒岁	65536	146024	3	{i=0}
-146003	攻袭	65536	25915	3	{v=0}
-146004	矫正	65536	30699	3	{v=2}
-146005	聊以塞责	65536	147316	3	{i=0}
-146006	秀山	65536	31168	3	{ns=0}
-146007	聊以自慰	65536	157952	3	{i=1}
-146008	潜入	65536	28508	3	{v=2, vn=0}
-146009	聊以解嘲	65536	159993	3	{i=0}
-146010	综合	122692	32508	2	{a=0, ad=0, an=0, b=6, n=0, v=37, vd=0, vn=105}
-146011	聊城市	65536	148632	3	{ns=0}
-146012	惊心	92231	24778	1	null
-146013	祈望	65536	31048	3	{v=0, vn=0}
-146014	聊复尔	113197	148951	1	null
-146015	着重点	65536	172147	3	{n=1}
-146016	聊复尔耳	65536	146014	3	{i=0}
-146017	混日	107223	28151	1	null
-146018	地球	77410	22320	2	{n=37}
-146019	生生的	65536	198456	3	{d=0}
-146020	秀屿	102130	31168	1	null
-146021	地理	73687	22320	2	{n=23}
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-146023	普乐	95369	26222	1	null
-146024	聊以卒	122321	146351	1	null
-146025	牢稳	65536	29282	3	{a=0}
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-146029	秤盘	117236	31204	2	{n=1}
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-146032	简单扼	106851	180830	1	null
-146033	聋哑	125892	32843	2	{n=1, vn=0}
-146034	灾荒	65536	28798	3	{n=1}
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-146037	外援	65536	22806	3	{n=3}
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-146043	更名	65536	26356	3	{v=1, vn=0}
-146044	礼品盒	65536	161965	3	{n=0}
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-146046	聋哑人	65536	146033	3	{n=0}
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-146050	纽埃	65536	32445	3	{n=0}
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-146052	爆肚	65536	29190	3	{n=0}
-146053	职业中	122641	165138	1	null
-146054	家奴	65536	23478	3	{n=0}
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-146061	浪荡	65536	28010	3	{a=0}
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-146063	联交所	65536	196115	3	{j=1}
-146064	窝头	65536	31389	3	{n=0}
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-146067	联产承	124821	196118	1	null
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-146078	比翼齐	87615	178506	1	null
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-146080	猎取	65536	29454	3	{v=1}
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-146083	师资	65536	24072	3	{n=10}
-146084	联合国安理会	65536	146082	3	{n=0}
-146085	联合战线	65536	152282	3	{l=0}
-146086	名落	70433	21517	1	null
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-146088	楼堂	86046	27004	1	null
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-146093	联合王国	65536	156749	3	{n=0}
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-146098	学无	76078	23398	1	null
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-146104	联席会议	65536	146102	3	{l=13, n=0}
-146105	码洋	65536	30721	3	{n=0}
-146106	托运	93580	25176	2	{v=1, vn=2}
-146107	联汇丰	65536	203702	3	{nz=0}
-146108	联欢会	65536	203409	3	{n=16}
-146109	耿耿于	121410	154614	1	null
-146110	石灰石	65536	199317	3	{n=0}
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-146113	联盟党	65536	206414	3	{n=0}
-146114	联立方	114872	207418	1	null
-146115	联立方程	65536	146114	3	{l=0}
-146116	意识	89268	24847	2	{n=153, v=21, vn=3}
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-146118	联系汇率	125073	153759	2	{n=11}
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-146125	急公	89638	24613	1	null
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-146128	罗布泊	116550	194374	2	{ns=31}
-146129	联绵字	65536	208484	3	{n=0}
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-146132	确定	114937	30830	2	{a=5, n=0, v=155, vn=0}
-146133	联谊会	65536	211833	3	{n=31, nt=0}
-146134	联运票	65536	212799	3	{n=0}
-146135	联络员	65536	208459	3	{n=2}
-146136	确实	65536	30830	3	{a=8, ad=39, d=6}
-146137	皱纹	65536	30385	3	{n=2}
-146138	织布	117290	32455	2	{v=0, vn=0}
-146139	四起	65536	22235	3	{v=0}
-146140	征程	65536	24449	3	{n=7}
-146141	联邦德	123873	213013	1	null
-146142	联邦德国	65536	146141	3	{ns=0}
-146143	征税	65536	24449	3	{v=6, vn=3}
-146144	联防队	124554	214433	2	{n=0}
-146145	等离子态	65536	141868	3	{l=0}
-146146	联防队员	65536	146144	3	{n=3}
-146147	聘任制	65536	146486	3	{n=3}
-146148	科教兴林	65536	140503	3	{l=1}
-146149	聘用制	65536	156259	3	{n=0}
-146150	家委	85515	23478	1	null
-146151	聘请书	65536	162098	3	{n=0}
-146152	筋疲	120788	31563	1	null
-146153	惊恐	93417	24778	2	{a=2, an=0}
-146154	聚丁橡	113146	187002	1	null
-146155	港上	92827	28207	1	null
-146156	投书	65536	25237	3	{v=0}
-146157	旁观	86915	26049	2	{v=0}
-146158	稍息	65536	31245	3	{v=0}
-146159	瞎猜	65536	30606	3	{v=0}
-146160	聚丁橡胶	65536	146154	3	{n=0}
-146161	聚丙烯	113073	187026	2	{n=1}
-146162	旅游	107578	26053	2	{n=0, v=40, vn=148}
-146163	棉价	65536	26825	3	{n=0}
-146164	显见	65536	26174	3	{v=0}
-146165	好强	65536	22909	3	{a=0, an=0}
-146166	发钞	65536	21457	3	{vn=3}
-146167	演剧	65536	28436	3	{v=0}
-146168	浑天	109517	27985	1	null
-146169	聚丙烯腈	65536	146161	3	{n=0}
-146170	聚乙烯	65536	187090	3	{n=0}
-146171	探友	65536	25506	3	{v=0}
-146172	聚伞花	121967	187287	1	null
-146173	织带	65536	32455	3	{n=0}
-146174	聚伞花序	65536	146172	3	{l=0}
-146175	瓜熟	101390	29916	1	null
-146176	聚光灯	65536	187842	3	{n=1}
-146177	快热	87941	24555	1	null
-146178	思辨	65536	24605	3	{v=0, vn=4}
-146179	浑头	101739	27985	1	null
-146180	聚合物	65536	188545	3	{n=0}
-146181	聚宝盆	65536	190486	3	{n=0}
-146182	畜生	65536	30044	3	{n=0}
-146183	次官	65536	27425	3	{n=7}
-146184	聚氟乙	117282	194712	1	null
-146185	故此	65536	25925	3	{c=2}
-146186	故步	84905	25925	1	null
-146187	淀粉酶	65536	140921	3	{n=0}
-146188	抽壮	95706	25277	1	null
-146189	普件	65536	26222	3	{n=1}
-146190	征稽	65536	24449	3	{j=0}
-146191	广土	89316	24191	1	null
-146192	征稿	65536	24449	3	{v=1, vn=1}
-146193	聚氟乙烯	65536	146184	3	{n=0}
-146194	联系人	65536	207978	3	{n=0}
-146195	探口	77794	25506	1	null
-146196	聚氨酯	65536	194721	3	{n=1}
-146197	篱栅	65536	31729	3	{n=0}
-146198	聚居区	65536	190654	3	{n=2}
-146199	统计局	65536	176759	3	{n=17}
-146200	聚氯乙	117293	194728	1	null
-146201	封里	65536	23553	3	{n=0}
-146202	渡轮	65536	28193	3	{n=0}
-146203	投井	95256	25237	2	{v=0}
-146204	聚氯乙烯	65536	146200	3	{n=2}
-146205	穆斯	114463	31302	1	null
-146206	整修	65536	25972	3	{v=2, vn=0}
-146207	聚沙成	123596	194834	1	null
-146208	聚沙成塔	65536	146207	3	{i=0}
-146209	聚珍版	65536	196678	3	{n=0}
-146210	惊悉	65536	24778	3	{v=1}
-146211	定局	65536	23450	3	{n=0, v=0}
-146212	炸肉	65536	28856	3	{n=0, v=0}
-146213	房捐	65536	25151	3	{n=0}
-146214	红旗渠	65536	204661	3	{ns=0}
-146215	失水	65536	22833	3	{v=0}
-146216	定居	76515	23450	2	{v=9, vn=0}
-146217	幽香	65536	24189	3	{n=1}
-146218	广场	65536	24191	3	{n=85}
-146219	形象	89774	24418	2	{a=16, ad=0, n=145}
-146220	聚碳酸	108995	197932	1	null
-146221	投产	65536	25237	3	{v=54, vn=5}
-146222	综治委	65536	152333	3	{j=4}
-146223	反馈	65536	21453	3	{v=6, vn=4}
-146224	滋补	109670	28363	2	{v=0, vn=0}
-146225	枪子	65536	26538	3	{n=0}
-146226	聚碳酸酯	65536	146220	3	{n=2}
-146227	聚福隆	65536	198152	3	{nz=0}
-146228	津野	65536	27941	3	{nr=0}
-146229	国策	65536	22269	3	{n=6}
-146230	模版	65536	27169	3	{n=1}
-146231	聚精会	115164	198967	1	null
-146232	投亲	76485	25237	2	{v=0}
-146233	细胞器	65536	204586	3	{n=0}
-146234	聚精会神	65536	146231	3	{i=1}
-146235	地瓜	65536	22320	3	{n=0}
-146236	聚苯乙	117326	200552	1	null
-146237	聚苯乙烯	65536	146236	3	{n=0}
-146238	聚蚊成	107596	201475	1	null
-146239	罩子	65536	32617	3	{n=0}
-146240	梦魇	65536	26790	3	{n=1, v=1, vn=0}
-146241	焚膏	100486	28954	1	null
-146242	篇幅	65536	31687	3	{n=7}
-146243	聚蚊成雷	65536	146238	3	{i=0}
-146244	聚讼纷	113818	202805	1	null
-146245	空空洞	113279	203532	1	null
-146246	安上	65536	23433	3	{v=2}
-146247	聚讼纷纭	65536	146244	3	{i=0}
-146248	招子	65536	25307	3	{n=0}
-146249	安不	80234	23433	1	null
-146250	同道	65536	21516	3	{n=0}
-146251	聚酯塑料	65536	146256	3	{n=0}
-146252	四跨	65536	22235	3	{j=3}
-146253	瘦棱	109896	30246	1	null
-146254	沿边	107816	27839	1	null
-146255	聚酯纤维	65536	156067	3	{n=0}
-146256	聚酯塑	120242	204264	1	null
-146257	惊悸	65536	24778	3	{v=0}
-146258	抽头	65536	25277	3	{v=0}
-146259	聚酯薄膜	65536	157827	3	{n=0}
-146260	安丘	80706	23433	2	{ns=1}
-146261	聚集一	123735	205631	1	null
-146262	形貌	65536	24418	3	{n=0}
-146263	珍宝	111231	29645	2	{n=2}
-146264	置信	65536	32622	3	{v=1}
-146265	聚集一堂	65536	146261	3	{i=1}
-146266	福利楼	65536	171194	3	{n=1}
-146267	聪明一世	65536	146294	3	{i=1}
-146268	探听	65536	25506	3	{v=2}
-146269	聪明伶俐	65536	146604	3	{i=0}
-146270	爱国者	65536	180126	3	{n=0}
-146271	意象	65536	24847	3	{n=2}
-146272	护盒	65536	25252	3	{n=0}
-146273	绣品	65536	32483	3	{n=0}
-146274	聪明反被	113402	147779	1	null
-146275	父老	113409	29238	2	{n=5}
-146276	聪明反被聪	120152	146274	1	null
-146277	渡边	65536	28193	3	{nr=0}
-146278	聪明反被聪明	110458	146276	1	null
-146279	模特	65536	27169	3	{n=5}
-146280	急切	91550	24613	2	{a=1, ad=1, an=0}
-146281	聪明反被聪明误	65536	146278	3	{i=0}
-146282	惊惑	65536	24778	3	{v=0}
-146283	聪明才智	65536	151491	3	{i=8, l=0}
-146284	对唱	65536	23545	3	{v=1, vn=1}
-146285	肃然起	120331	154006	1	null
-146286	漏网	111682	28431	2	{v=1, vn=0}
-146287	白云石	65536	193407	3	{n=0}
-146288	终身大	123635	174177	1	null
-146289	悬铃	86817	24748	1	null
-146290	牢笼	65536	29282	3	{n=0}
-146291	渡过	65536	28193	3	{v=12}
-146292	抽奖	65536	25277	3	{v=1, vn=0}
-146293	聘为	65536	32856	3	{v=0}
-146294	聪明一	126277	147503	1	null
-146295	肃然起敬	65536	146285	3	{i=2}
-146296	快煤	65536	24555	3	{n=0}
-146297	肃贪倡	122036	161162	1	null
-146298	定岗	65536	23450	3	{v=1, vn=4}
-146299	快照	65536	24555	3	{n=0}
-146300	护目	77244	25252	1	null
-146301	肃贪倡廉	65536	146297	3	{i=1}
-146302	好心	81956	22909	2	{a=0, n=4}
-146303	安乃	67960	23433	1	null
-146304	惊惧	65536	24778	3	{a=0}
-146305	招安	65536	25307	3	{v=0}
-146306	官渡	84016	23448	2	{ns=0}
-146307	肄业	116325	32900	2	{v=0}
-146308	肄业生	65536	146307	3	{n=0}
-146309	安义	83339	23433	2	{ns=0}
-146310	肆意妄	126287	146320	1	null
-146311	安之	71272	23433	1	null
-146312	聪慧	65536	32874	3	{a=1, an=0}
-146313	肆意妄为	65536	146310	3	{i=0}
-146314	肆无忌	121944	147553	1	null
-146315	肇东市	65536	146427	3	{ns=1}
-146316	安乐	77899	23433	2	{a=0, nz=2}
-146317	示范乡	65536	153264	3	{n=0}
-146318	潜力	65536	28508	3	{n=60}
-146319	惊惶	90566	24778	2	{a=0}
-146320	肆意	123394	32902	2	{d=4}
-146321	肆无忌弹	65536	146314	3	{i=0}
-146322	畜疫	65536	30044	3	{n=0}
-146323	磐田	65536	30928	3	{nr=0, ns=0, nz=0}
-146324	肇事人	65536	146538	3	{n=1}
-146325	肇庆市	65536	150629	3	{ns=1}
-146326	肉丝面	65536	189156	3	{n=6}
-146327	肉中刺	65536	189172	3	{n=0}
-146328	硫酸根	65536	155441	3	{n=0}
-146329	肉制品	65536	190205	3	{n=0}
-146330	急刹	75840	24613	1	null
-146331	港人	103208	28207	2	{n=9}
-146332	救星	65536	25937	3	{n=1}
-146333	浅井	65536	27973	3	{nr=0}
-146334	燕园	65536	29141	3	{ns=0}
-146335	肉包子	65536	190412	3	{n=0}
-146336	肉孜节	65536	192547	3	{t=4}
-146337	聘书	65536	32856	3	{n=0}
-146338	肉搏战	65536	194774	3	{n=0}
-146339	疑义	65536	30097	3	{n=0}
-146340	签到	110208	31614	2	{v=0}
-146341	肉用鸡	65536	199151	3	{n=0}
-146342	演化	110251	28436	2	{v=4, vn=4}
-146343	瓜片	65536	29916	3	{n=0}
-146344	湘竹	65536	28248	3	{n=0}
-146345	沿途	65536	27839	3	{b=9, d=4, n=0, s=1}
-146346	客队	65536	23458	3	{n=1, nt=0}
-146347	地界	65536	22320	3	{n=0}
-146348	矫治	65536	30699	3	{vn=0}
-146349	肉联厂	65536	202011	3	{n=2}
-146350	惊愕	65536	24778	3	{a=2, an=0}
-146351	聊以	124694	32842	2	{d=1}
-146352	拜访	65536	25308	3	{v=5, vn=0}
-146353	肉豆蔻	65536	205069	3	{n=0}
-146354	肋巴骨	65536	146362	3	{n=0}
-146355	渊远	102878	28170	1	null
-146356	肋膜炎	65536	155490	3	{n=0}
-146357	肉食品	65536	208294	3	{n=0}
-146358	肋间肌	65536	160698	3	{n=0}
-146359	肌纤维	65536	158483	3	{n=0}
-146360	秤砣	65536	31204	3	{n=1}
-146361	斜路	65536	26012	3	{n=0}
-146362	肋巴	106762	32907	1	null
-146363	空无所	114809	198258	1	null
-146364	笺纸	65536	31546	3	{n=0}
-146365	肖像画	65536	146374	3	{n=0}
-146366	混杂	65536	28151	3	{v=0, vn=0}
-146367	回访	65536	22238	3	{v=2, vn=0}
-146368	肖形印	65536	150105	3	{n=1}
-146369	肖成林	65536	150791	3	{nr=1, ns=0}
-146370	肌体	65536	32908	3	{n=1}
-146371	肘关节	65536	146448	3	{n=0}
-146372	肚脐眼	65536	156054	3	{n=1}
-146373	旅游鞋	65536	146162	3	{n=0}
-146374	肖像	116354	32918	2	{n=10}
-146375	肝功能	65536	150345	3	{n=1}
-146376	急剧	65536	24613	3	{b=3, d=29}
-146377	游泳馆	65536	180491	3	{n=2}
-146378	安于	75169	23433	2	{v=2}
-146379	肝吸虫	65536	150754	3	{n=0}
-146380	肝硬化	65536	160022	3	{n=0}
-146381	外敌	65536	22806	3	{n=0}
-146382	箱底	65536	31665	3	{n=2}
-146383	广域	76973	24191	1	null
-146384	砾石	65536	30782	3	{n=0}
-146385	肝肠寸	120357	162122	1	null
-146386	肝肠寸断	65536	146385	3	{i=0}
-146387	肝胆照	126235	162160	1	null
-146388	简化汉	118668	180767	1	null
-146389	肝胆照人	65536	146387	3	{i=0}
-146390	肚子	65536	32922	3	{n=6, q=3}
-146391	第一性	65536	141874	3	{n=1}
-146392	绍兴市	65536	144608	3	{ns=0}
-146393	后记	65536	21518	3	{n=0}
-146394	楼头	65536	27004	3	{n=1}
-146395	学有	83585	23398	1	null
-146396	肝胆相照	65536	147812	3	{i=1}
-146397	回话	65536	22238	3	{n=0, v=1}
-146398	沁阳	104030	27777	1	null
-146399	肝脑涂	124080	162235	1	null
-146400	肝脑涂地	65536	146399	3	{i=0}
-146401	肠伤寒	65536	154723	3	{n=0}
-146402	好性	65536	22909	3	{n=0}
-146403	肠套叠	65536	157334	3	{n=0}
-146404	肠梗阻	65536	161238	3	{n=1}
-146405	惊慌	90570	24778	2	{a=0, ad=1, an=0}
-146406	并行	89541	24182	2	{v=2, vn=0}
-146407	安享	78586	23433	2	{v=0}
-146408	界石	65536	30028	3	{n=0}
-146409	电影站	65536	193462	3	{n=0}
-146410	肠痉挛	65536	164616	3	{n=0}
-146411	疑云	65536	30097	3	{n=0}
-146412	拜读	65536	25308	3	{v=0}
-146413	耕具	65536	32789	3	{n=0}
-146414	浊辅	90752	27978	1	null
-146415	欧空	102230	27431	1	null
-146416	爬虫	65536	29228	3	{n=0}
-146417	学期	65536	23398	3	{n=10}
-146418	肠穿孔	65536	165822	3	{n=0}
-146419	肠系膜	65536	166458	3	{n=0}
-146420	石英钟	65536	204054	3	{n=0}
-146421	土耳	75797	22303	1	null
-146422	级差	65536	32423	3	{n=0}
-146423	回请	65536	22238	3	{v=0}
-146424	外敷	65549	22806	2	{v=0, vn=0}
-146425	肠绒毛	65536	166929	3	{n=0}
-146426	肠结核	65536	166930	3	{n=0}
-146427	肇东	122249	32903	2	{n=0}
-146428	矛盾	114351	30683	2	{a=9, an=133}
-146429	肠胃病	65536	167426	3	{n=0}
-146430	肠阻塞	65536	172922	3	{n=0}
-146431	股东会	65536	157187	3	{n=1}
-146432	急功	75734	24613	1	null
-146433	学术	81355	23398	2	{n=100}
-146434	急务	65536	24613	3	{n=0}
-146435	拜谒	65536	25308	3	{v=0}
-146436	渠道	65536	28192	3	{n=90}
-146437	股份公司	65536	146455	3	{l=13}
-146438	后话	65536	21518	3	{n=0}
-146439	股份合作	125399	147123	1	null
-146440	外文	65746	22806	2	{n=3, nz=0}
-146441	夜风	65536	22812	3	{n=2}
-146442	永垂青	106185	153831	1	null
-146443	绒山	111253	32466	1	null
-146444	犯得	114051	29359	1	null
-146445	股份合作制	65536	146439	3	{n=38}
-146446	股票数	65536	168271	3	{n=2}
-146447	涨跌	106136	28072	2	{v=2}
-146448	肘关	112961	32920	1	null
-146449	布点	65536	24067	3	{v=1, vn=0}
-146450	眼镜蛇	65536	200812	3	{n=0}
-146451	拜谢	65536	25308	3	{v=0}
-146452	学杂	67420	23398	1	null
-146453	实收	65536	23454	3	{vn=1}
-146454	望穿	91506	26395	1	null
-146455	股份公	124941	157412	1	null
-146456	股骨头	65536	176783	3	{n=1}
-146457	肤皮潦	112850	149135	1	null
-146458	反驳	65536	21453	3	{v=0, vn=0}
-146459	肤皮潦草	65536	146457	3	{l=0}
-146460	秋毫无	111067	177140	1	null
-146461	肤轻松	65536	155484	3	{n=0}
-146462	狭窄	65536	29421	3	{a=4, an=0}
-146463	肢体	65536	32930	3	{n=2}
-146464	磕磕绊	107313	147857	1	null
-146465	肥东县	65536	184303	3	{ns=3}
-146466	肥乎乎	65536	184353	3	{z=0}
-146467	肥乡县	65536	184372	3	{ns=0}
-146468	肥力高	65536	185454	3	{nz=6}
-146469	肥囊囊	65536	186525	3	{z=0}
-146470	篮球架	65536	152012	3	{n=1}
-146471	实效	80940	23454	2	{n=30}
-146472	肛瘘	65536	32923	3	{n=0}
-146473	肥城市	65536	186785	3	{ns=1}
-146474	怀里	65536	24576	3	{s=7}
-146475	汽船	65536	27773	3	{n=0}
-146476	国籍	68579	22269	2	{n=8}
-146477	肃反	65536	32899	3	{vn=0}
-146478	畜牧病	65536	145486	3	{n=1}
-146479	济钢	65536	27982	3	{n=0}
-146480	聪明人	65536	147503	3	{n=0}
-146481	好恶	65536	22909	3	{n=0}
-146482	肥墩墩	65536	187004	3	{z=0}
-146483	服药	65536	26381	3	{v=2, vn=1}
-146484	肥得鲁	125686	188778	1	null
-146485	肥得鲁儿	65536	146484	3	{z=0}
-146486	聘任	125101	32856	2	{v=3, vn=0}
-146487	肥滚滚	65536	192685	3	{z=0}
-146488	肥皂沫	65536	194645	3	{n=0}
-146489	汽艇	65536	27773	3	{n=0}
-146490	外方	65536	22806	3	{j=2, n=1}
-146491	肥田粉	65536	194307	3	{n=0}
-146492	肥肥大	123671	197240	1	null
-146493	地痞	65536	22320	3	{n=0}
-146494	肥肥大大	65536	146492	3	{z=0}
-146495	肥西县	65536	199506	3	{ns=3}
-146496	肩周炎	65536	148636	3	{n=1}
-146497	犯忌	65536	29359	3	{v=0}
-146498	斗眼	65536	26007	3	{n=0}
-146499	肩摩毂	125513	152733	1	null
-146500	肩摩毂击	65536	146499	3	{i=0}
-146501	汤尤	101538	27748	1	null
-146502	发问	65536	21457	3	{v=2, vn=0}
-146503	肥胖型	65536	197289	3	{b=2}
-146504	箱式	65536	31665	3	{b=1}
-146505	肩摩踵接	65536	155318	3	{i=0}
-146506	肩胛骨	65536	160015	3	{n=0}
-146507	夜餐	65536	22812	3	{n=2}
-146508	恶狗	65536	24694	3	{n=0}
-146509	招展	65536	25307	3	{v=1, vn=1}
-146510	肮脏	65536	32942	3	{a=0, ad=0}
-146511	实数	65536	23454	3	{n=0}
-146512	外族	79025	22806	2	{n=0}
-146513	肮里肮	113475	150795	1	null
-146514	肮里肮脏	65536	146513	3	{z=0}
-146515	散播	65536	25955	3	{v=0}
-146516	红十字	122850	199903	2	{n=15}
-146517	恶狠	83663	24694	1	null
-146518	肯塔基	122489	149027	2	{n=0}
-146519	肯塔基州	65536	146518	3	{ns=1}
-146520	肯尼亚	126368	150027	2	{ns=24}
-146521	民主集	106980	173410	1	null
-146522	肯尼亚人	65536	146520	3	{l=1, n=0}
-146523	沈飞	65536	27784	3	{j=1, nz=5}
-146524	肯德基	65536	150918	3	{nz=1}
-146525	肯特郡	65536	155720	3	{ns=0}
-146526	肱骨	65536	32945	3	{n=0}
-146527	育儿袋	65536	147772	3	{n=0}
-146528	育婴堂	65536	150129	3	{n=0}
-146529	育雏器	65536	165580	3	{n=0}
-146530	授衔	65536	25480	3	{v=0, vn=1}
-146531	投保	93907	25237	2	{v=0, vn=2}
-146532	肺动脉	65536	153228	3	{n=0}
-146533	肺吸虫	65536	153628	3	{n=0}
-146534	肺循环	65536	156558	3	{n=0}
-146535	急匆	91300	24613	1	null
-146536	演变	65536	28436	3	{v=8, vn=5}
-146537	学林	65536	23398	3	{nz=0}
-146538	肇事	126170	32903	2	{v=2, vn=27}
-146539	肺心病	65536	156583	3	{n=0}
-146540	肺气肿	65536	159736	3	{n=0}
-146541	盗伐	65536	30423	3	{v=0}
-146542	肥皂泡	65536	194645	3	{n=0}
-146543	肺水肿	65536	159768	3	{n=1}
-146544	肺活量	65536	160031	3	{n=0}
-146545	数一	92538	25968	1	null
-146546	征管	65536	24449	3	{j=14, vn=0}
-146547	巴尔	84284	24052	1	null
-146548	立体式	65536	187868	3	{b=1}
-146549	肺结核	65536	164535	3	{n=0}
-146550	肺脓肿	65536	165111	3	{n=0}
-146551	挂冠	65536	25346	3	{v=0}
-146552	晚景	65536	26202	3	{n=1}
-146553	添设	65536	28155	3	{v=0}
-146554	肺腑之	111228	165173	1	null
-146555	护短	65536	25252	3	{v=2}
-146556	肺腑之言	65536	146554	3	{i=3}
-146557	巨额	65536	24040	3	{b=49}
-146558	数不	88000	25968	1	null
-146559	肺静脉	65536	170813	3	{n=0}
-146560	而且	65536	32780	3	{c=357}
-146561	折断	65536	25240	3	{v=1, vn=0}
-146562	肾上腺	114531	146753	2	{n=0}
-146563	肾上腺素	65536	146562	3	{l=0}
-146564	纱巾	65536	32433	3	{n=0}
-146565	肾盂炎	65536	157177	3	{n=0}
-146566	界碑	65536	30028	3	{n=0}
-146567	瘸腿	65536	30264	3	{n=0}
-146568	泰斗	65536	27888	3	{n=1}
-146569	纱布	65536	32433	3	{n=1}
-146570	整党	65536	25972	3	{v=0, vn=0}
-146571	生物电	107676	197762	1	null
-146572	猫耳	106574	29483	1	null
-146573	肾衰竭	65536	161703	3	{n=1}
-146574	肝硬变	65536	160022	3	{n=0}
-146575	绕弯子	65536	146963	3	{v=0}
-146576	服务牌	65536	133989	3	{n=1}
-146577	肾结核	65536	159242	3	{n=0}
-146578	肿瘤科	65536	154470	3	{n=0}
-146579	肿骨鹿	65536	163818	3	{n=0}
-146580	胀鼓	105858	32960	1	null
-146581	胀鼓鼓	65536	146580	3	{z=0}
-146582	纱帐	65536	32433	3	{n=1}
-146583	家宅	65536	23478	3	{n=0}
-146584	国粹	65536	22269	3	{n=0}
-146585	肿块	65536	32959	3	{n=0}
-146586	老奸巨猾	65536	145452	3	{i=0}
-146587	巴尼	88344	24052	1	null
-146588	实施	65536	23454	3	{u=0, v=386, vn=55}
-146589	胁从犯	65536	146596	3	{n=0}
-146590	胃下垂	65536	155411	3	{n=0}
-146591	引子	65536	24341	3	{n=0}
-146592	外星	79027	22806	1	null
-146593	意趣	65536	24847	3	{n=1}
-146594	生物界	65536	197762	3	{n=0}
-146595	归程	65536	24402	3	{n=1}
-146596	胁从	117230	32961	2	{n=0, v=0}
-146597	河西镇	65536	177796	3	{ns=3}
-146598	挑衅	91855	25361	2	{v=0, vn=0}
-146599	沟鼠	65536	27807	3	{n=0}
-146600	夜饭	65536	22812	3	{n=0}
-146601	胃扩张	65536	160625	3	{n=0}
-146602	少顷	65536	23569	3	{d=0}
-146603	胃溃疡	65536	163723	3	{n=0}
-146604	聪明伶	125837	147503	1	null
-146605	甲状软	96331	181067	1	null
-146606	胃穿孔	65536	166791	3	{n=0}
-146607	胃肠炎	65536	168360	3	{n=0}
-146608	胃舒平	65536	168730	3	{n=0}
-146609	满洲里	65536	176779	3	{ns=1}
-146610	胃蛋白	109373	169939	1	null
-146611	胃蛋白酶	65536	146610	3	{l=0}
-146612	敬若	87419	25964	1	null
-146613	胆囊炎	65536	171775	3	{n=1}
-146614	家室	65536	23478	3	{n=0}
-146615	未竟	65536	26410	3	{v=2}
-146616	胆固醇	65536	171823	3	{n=1}
-146617	胆大包天	65536	146621	3	{i=0}
-146618	粘粘渍	114299	154926	1	null
-146619	折旧	85828	25240	2	{v=0, vn=0}
-146620	肤泛	65536	32932	3	{a=0}
-146621	胆大包	123792	172380	1	null
-146622	胆大妄为	65536	148284	3	{i=1}
-146623	胆大心细	65536	149883	3	{i=0}
-146624	秘书	117782	31192	2	{n=25}
-146625	定州	81310	23450	2	{ns=0}
-146626	胆小如鼠	65536	146637	3	{i=0}
-146627	纱帽	65536	32433	3	{n=0}
-146628	棕黄	91749	26837	2	{b=0}
-146629	百分点	65536	182751	3	{n=29}
-146630	家宴	65536	23478	3	{n=0}
-146631	胆小怕事	65536	148320	3	{l=0}
-146632	家家	80624	23478	2	{n=0, q=10}
-146633	胆怯怯	65536	174180	3	{z=0}
-146634	好意	77338	22909	2	{n=0}
-146635	整军	65536	25972	3	{v=1, vn=1}
-146636	胆战心	121861	174669	1	null
-146637	胆小如	105890	173124	1	null
-146638	数九	95008	25968	2	{t=0}
-146639	胆战心惊	65536	146636	3	{i=0}
-146640	巴山	69837	24052	2	{ns=0}
-146641	棕黑	65536	26837	3	{b=0}
-146642	幽魂	65536	24189	3	{n=0}
-146643	胆石病	65536	180264	3	{n=0}
-146644	滑冰	109058	28369	2	{n=0, v=3, vn=11}
-146645	实时	65536	23454	3	{a=0, ad=1, d=0, j=0, n=1}
-146646	胆破心	121871	180329	1	null
-146647	绥东	65536	32485	3	{ns=1}
-146648	四轴	70479	22235	1	null
-146649	胆破心惊	65536	146646	3	{l=0}
-146650	好感	65536	22909	3	{n=1}
-146651	美人计	65536	191098	3	{n=0}
-146652	胆管炎	65536	181206	3	{n=0}
-146653	胆红素	65536	181975	3	{n=0}
-146654	胆结石	65536	182024	3	{n=0}
-146655	胆绿素	65536	182068	3	{n=0}
-146656	生殖腺	65536	196015	3	{n=0}
-146657	股份制	65536	157412	3	{n=142}
-146658	胆色素	65536	182951	3	{n=0}
-146659	潜台	96116	28508	1	null
-146660	散放	65536	25955	3	{v=1}
-146661	秘事	65536	31192	3	{n=0}
-146662	胆识过	126511	185339	1	null
-146663	注文	65536	27880	3	{n=0}
-146664	演员	96822	28436	2	{n=126}
-146665	胆识过人	65536	146662	3	{i=0}
-146666	背井离	126604	185690	1	null
-146667	多数	71490	22810	2	{a=0, m=55}
-146668	旁证	65536	26049	3	{n=1}
-146669	背井离乡	65536	146666	3	{i=1}
-146670	背信弃	126637	186022	1	null
-146671	答复	65536	31572	3	{n=0, v=3, vd=0, vn=11}
-146672	外景	65536	22806	3	{n=2}
-146673	肆扰	65536	32902	3	{v=0}
-146674	底限	65536	24213	3	{n=0}
-146675	学校	66136	23398	2	{n=242}
-146676	移动	102006	31227	2	{v=12, vn=34}
-146677	泼陂	101294	27900	1	null
-146678	背信弃义	65536	146670	3	{i=0}
-146679	白雪皑	106825	211928	1	null
-146680	背光性	65536	186382	3	{n=0}
-146681	背包袱	65536	186826	3	{l=2}
-146682	背地里	65536	187893	3	{d=0}
-146683	背对背	65536	189118	3	{l=0}
-146684	民主革	105368	173410	1	null
-146685	背山起	119684	189238	1	null
-146686	玄武	110895	29572	1	null
-146687	泰明	65536	27888	3	{nz=0}
-146688	背山起楼	65536	146685	3	{i=0}
-146689	背投影	65536	190810	3	{l=1}
-146690	背搭子	65536	191218	3	{n=0}
-146691	背斜层	65536	191585	3	{n=0}
-146692	源泉	65536	28304	3	{n=10}
-146693	背日性	65536	191658	3	{n=0}
-146694	焊接	65536	28938	3	{v=2, vn=1}
-146695	挂到	65536	25346	3	{v=1}
-146696	背水一战	122365	146699	2	{i=0}
-146697	惊扰	65536	24778	3	{v=0}
-146698	申猴	65536	30003	3	{t=0}
-146699	背水一	121584	193273	1	null
-146700	背水一战式	65536	146696	3	{b=1, n=0}
-146701	地皮	65536	22320	3	{n=2}
-146702	房改	93240	25151	2	{j=0, v=20, vn=11}
-146703	燕塞	105005	29141	1	null
-146704	耳听八	119843	189475	1	null
-146705	背道而	107176	202520	1	null
-146706	窝家	65536	31389	3	{n=0}
-146707	翻译官	65536	206281	3	{n=0}
-146708	性骚	87474	24615	1	null
-146709	统筹学	65536	172623	3	{n=0}
-146710	发难	65536	21457	3	{v=0}
-146711	广大	65536	24191	3	{b=389, j=0, nz=0, v=0}
-146712	背道而驰	65536	146705	3	{i=3}
-146713	安保	65536	23433	3	{j=2}
-146714	泰山压顶	65536	129212	3	{i=0}
-146715	盖头	65536	30422	3	{n=1}
-146716	爵士舞	65536	135917	3	{n=0}
-146717	四边	71442	22235	2	{n=0}
-146718	绑带	65536	32465	3	{n=0}
-146719	纵火罪	65536	175016	3	{n=0}
-146720	背阴处	65536	204025	3	{s=0}
-146721	家小	65536	23478	3	{n=1}
-146722	破罐破	113643	196041	1	null
-146723	背靠背	65536	204325	3	{v=0}
-146724	科技报	65536	188514	3	{n=3}
-146725	背风处	65536	204691	3	{s=0}
-146726	肤浅	65536	32932	3	{a=1}
-146727	土腥	75058	22303	1	null
-146728	晚期	65536	26202	3	{f=0, t=5}
-146729	思量	65536	24605	3	{v=2}
-146730	背黑锅	65536	206230	3	{v=0}
-146731	胎生学	65536	162990	3	{n=0}
-146732	胖乎乎	65536	147578	3	{z=0}
-146733	散文	94974	25955	2	{n=35}
-146734	礼拜日	65536	165576	3	{t=0}
-146735	胖嘟嘟	65536	149579	3	{z=0}
-146736	胖墩墩	65536	150229	3	{z=0}
-146737	牢系	65536	29282	3	{v=0}
-146738	胖大海	65536	150355	3	{n=0}
-146739	拍马	92307	25293	2	{v=0}
-146740	多方	79159	22810	2	{a=0, b=0, d=24, n=0, r=3}
-146741	胖头鱼	65536	150368	3	{n=0}
-146742	而今	65536	32780	3	{t=18}
-146743	地盘	65536	22320	3	{n=7}
-146744	胖小子	65536	151099	3	{n=0}
-146745	急变	65536	24613	3	{n=0}
-146746	胚胎学	65536	159645	3	{n=0}
-146747	胛骨	65536	32987	3	{n=0}
-146748	胜人一	115140	164092	1	null
-146749	胜人一筹	65536	146748	3	{i=0}
-146750	胜出一	115142	164924	1	null
-146751	胜出一筹	65536	146750	3	{i=0}
-146752	灭虫	111269	28781	1	null
-146753	肾上	113416	32958	1	null
-146754	胚乳	65536	32986	3	{n=0}
-146755	胜利果实	65536	146837	3	{l=0}
-146756	急口	92361	24613	1	null
-146757	签发	65536	31614	3	{v=3, vn=0}
-146758	肆无忌惮	65536	146314	3	{i=0}
-146759	胜诉人	65536	179723	3	{n=0}
-146760	胜进村	65536	180765	3	{ns=0}
-146761	安倍	65536	23433	3	{nr=0}
-146762	胜利村	65536	164971	3	{ns=0}
-146763	引导	65536	24341	3	{n=1, v=94, vn=31}
-146764	胞兄弟	65536	146839	3	{n=0}
-146765	略知皮	108742	160913	1	null
-146766	实景	65536	23454	3	{n=2}
-146767	后账	65536	21518	3	{n=0}
-146768	胡作非	126743	185380	1	null
-146769	胡作非为	65536	146768	3	{i=2}
-146770	性高	84155	24615	1	null
-146771	地直	65536	22320	3	{b=0, j=1}
-146772	胡兰镇	65536	185912	3	{ns=0}
-146773	泰晤	106295	27888	1	null
-146774	数以	98561	25968	1	null
-146775	家居	79390	23478	2	{n=2}
-146776	胡力斯	125289	186211	1	null
-146777	胡力斯台	65536	146776	3	{n=0}
-146778	牌子	65536	29260	3	{n=15}
-146779	如约	65536	22914	3	{d=3}
-146780	石灰窑	65536	199317	3	{n=0}
-146781	胡同口	65536	186580	3	{n=0, s=0}
-146782	胡图族	65536	187334	3	{nz=3}
-146783	胡志明	122720	189599	1	null
-146784	回赠	65536	22238	3	{v=0}
-146785	发霉	65536	21457	3	{v=1}
-146786	胡志明市	65536	146783	3	{ns=0}
-146787	痴痴	115160	30196	2	{z=0}
-146788	胡思乱	121975	189669	1	null
-146789	潮头	65536	28526	3	{n=6}
-146790	玛纳	108709	29595	1	null
-146791	版次	65536	29256	3	{n=0}
-146792	穴施	65536	31348	3	{n=0}
-146793	纺织娘	65536	156090	3	{n=0}
-146794	胡思乱想	65536	146788	3	{i=0}
-146795	胡搅蛮	114253	190669	1	null
-146796	棉兰	92289	26825	1	null
-146797	胡搅蛮缠	65536	146795	3	{i=0}
-146798	注明	65536	27880	3	{v=4}
-146799	胡杨林	65536	191536	3	{n=0}
-146800	家属	78771	23478	2	{n=35}
-146801	多时	65536	22810	3	{m=0}
-146802	胡桃肉	65536	191755	3	{n=0}
-146803	胡椒粉	65536	191962	3	{n=0}
-146804	胡萝卜	114775	198885	2	{n=2}
-146805	应用	87422	24212	2	{v=29, vn=41}
-146806	犯愁	65536	29359	3	{v=3}
-146807	胡萝卜素	65536	146804	3	{n=10}
-146808	耶城	65536	32822	3	{j=0, ns=1}
-146809	胡言乱	110992	200392	1	null
-146810	秘传	65536	31192	3	{v=0}
-146811	悬雍	90824	24748	1	null
-146812	源流	65536	28304	3	{n=1}
-146813	胡言乱语	65536	146809	3	{i=0}
-146814	四通	75018	22235	2	{j=1, nz=0}
-146815	征粮	65536	24449	3	{v=1}
-146816	胡说八	109871	200892	1	null
-146817	签名	110209	31614	2	{n=1, v=3, vn=1}
-146818	胡说八道	65536	146816	3	{i=0}
-146819	斜边	65536	26012	3	{n=0}
-146820	胡里胡	118795	202388	1	null
-146821	珠琴	65536	29664	3	{j=4}
-146822	滚圆	65536	28378	3	{z=0}
-146823	普兰	97190	26222	1	null
-146824	李鹏	65536	26446	3	{nr=204}
-146825	痼疾	65536	30204	3	{n=4}
-146826	定座	65536	23450	3	{v=0}
-146827	对坐	65536	23545	3	{v=0, vn=0}
-146828	疗程	65536	30103	3	{n=1}
-146829	胡里胡涂	65536	146820	3	{z=0}
-146830	胡锦涛	65536	203246	3	{nr=24}
-146831	胥浦	65536	32997	3	{ns=0}
-146832	熊蜂	65536	29066	3	{n=0}
-146833	胪岗	108623	33002	1	null
-146834	细胞壁	65536	204586	3	{n=0}
-146835	市立	65536	24066	3	{b=0}
-146836	浓缩铀	65536	158168	3	{n=2}
-146837	胜利果	123301	164971	1	null
-146838	胪岗镇	65536	146833	3	{ns=0}
-146839	胞兄	122413	32990	2	{n=0}
-146840	棉农	65536	26825	3	{n=0}
-146841	胫骨	65536	33003	3	{n=0}
-146842	纵横家	65536	173415	3	{n=0}
-146843	胭脂	114433	33005	2	{n=0}
-146844	次席	65536	27425	3	{n=1}
-146845	绒布	65536	32466	3	{n=1}
-146846	后赵	65536	21518	3	{t=0}
-146847	学棍	65536	23398	3	{n=0}
-146848	后起	73917	21518	2	{b=0, vn=0}
-146849	攻读	65536	25915	3	{v=5}
-146850	疯子	65536	30127	3	{n=1}
-146851	胭脂红	65536	146843	3	{n=0}
-146852	微波	82745	24494	2	{n=1}
-146853	缺斤少	124697	169976	1	null
-146854	胯骨	65536	33007	3	{n=0}
-146855	搭讪	65536	25645	3	{v=0}
-146856	概预	93739	27010	1	null
-146857	玉米螟	65536	187573	3	{n=0}
-146858	胰岛素	65536	147318	3	{n=1}
-146859	沦陷	107048	27814	2	{v=1, vn=0}
-146860	胰淀粉	109625	151707	1	null
-146861	监控程	113533	161379	1	null
-146862	空间波	65536	210566	3	{n=0}
-146863	胰淀粉酶	65536	146860	3	{l=0}
-146864	滚地	101069	28378	1	null
-146865	胰脂酶	65536	156637	3	{n=0}
-146866	师道	85288	24072	1	null
-146867	纯净水	65536	175223	3	{n=0}
-146868	胰腺炎	65536	156757	3	{n=0}
-146869	纺嫂	65536	32442	3	{n=0}
-146870	胰蛋白	109633	158118	1	null
-146871	胰蛋白酶	65536	146870	3	{l=0}
-146872	胳肢窝	65536	146886	3	{n=0}
-146873	筹备	121755	31609	2	{v=12, vn=8}
-146874	发面	65536	21457	2	{n=0, v=0}
-146875	浊酒	65536	27978	3	{n=0}
-146876	签呈	65536	31614	3	{n=0}
-146877	彩虹	65536	24425	3	{n=10, nz=2}
-146878	数位	65536	25968	3	{n=0}
-146879	胳膊肘	65536	147118	3	{n=0}
-146880	济阳	108262	27982	1	null
-146881	演唱	111505	28436	2	{v=24, vn=10}
-146882	昏迷	101025	26127	2	{v=3, vn=0}
-146883	硼钢	65536	30844	3	{n=0}
-146884	胳膊腕子	65536	147068	3	{l=0}
-146885	胴体	65536	33012	3	{n=0}
-146886	胳肢	115483	33011	2	{v=0}
-146887	胶东区	65536	168149	3	{ns=0}
-146888	胶体溶	118809	168460	1	null
-146889	猫腰	65536	29483	3	{v=0}
-146890	好戏	65844	22909	2	{n=12}
-146891	胶体溶液	65536	146888	3	{l=0}
-146892	滑动	105681	28369	2	{v=0, vn=0}
-146893	对垒	65536	23545	3	{v=1, vn=0}
-146894	标准煤	65536	149778	3	{n=0}
-146895	胶印机	65536	169513	3	{n=1}
-146896	癸未	65536	30328	3	{m=0}
-146897	爬行	112163	29228	2	{v=2, vn=0}
-146898	胶合板	65536	169665	3	{n=1}
-146899	好战	65536	22909	3	{a=0}
-146900	猫腻	65536	29483	3	{n=0}
-146901	胶州市	65536	172183	3	{ns=1}
-146902	胶木粉	65536	174561	3	{n=0}
-146903	绒帽	65536	32466	3	{n=0}
-146904	胶柱鼓	117119	174762	1	null
-146905	秘使	65536	31192	3	{n=0}
-146906	搭话	65536	25645	3	{v=1}
-146907	胶南县	65536	169488	3	{ns=1}
-146908	挂包	65536	25346	3	{n=0}
-146909	招工	89349	25307	2	{v=1, vn=1}
-146910	胶柱鼓瑟	65536	146904	3	{i=0}
-146911	胶版纸	65536	177409	3	{n=0}
-146912	窥探	108628	31397	2	{v=1}
-146913	折服	65536	25240	3	{v=1}
-146914	抗争	90693	25239	2	{v=7, vn=2}
-146915	次年	65536	27425	3	{t=2}
-146916	胶状物	65536	177519	3	{n=0}
-146917	燕头	95042	29141	1	null
-146918	外来	79252	22806	2	{b=32, vn=0}
-146919	施肥	65536	26045	3	{v=8, vn=1}
-146920	欧米	92308	27431	1	null
-146921	多普	78259	22810	1	null
-146922	胶着状	122347	178681	1	null
-146923	投入	93544	25237	2	{a=6, an=2, n=3, u=0, v=179, vn=80}
-146924	胶着状态	65536	146922	3	{n=2}
-146925	胸中无数	65536	146933	3	{i=0}
-146926	胸中有数	65536	147230	3	{i=0}
-146927	回路	65536	22238	3	{n=0}
-146928	溶质	65536	28342	3	{n=0}
-146929	多晶	79156	22810	1	null
-146930	缉毒	65536	32521	3	{v=0, vn=0}
-146931	砖木	65536	30742	3	{n=0}
-146932	柔软	103896	26580	2	{a=0, an=1}
-146933	胸中无	120957	164549	1	null
-146934	胸怀坦荡	65536	146943	3	{l=3}
-146935	胸怀大志	65536	147392	3	{i=0}
-146936	胸怀祖国	65536	155631	3	{l=2}
-146937	更型	96417	26356	1	null
-146938	探囊	95451	25506	1	null
-146939	第一手	65536	141874	3	{b=6, d=0, n=0}
-146940	投其	90091	25237	1	null
-146941	瓶胆	65536	29942	3	{n=0}
-146942	次序	65536	27425	3	{n=0}
-146943	胸怀坦	113301	169112	1	null
-146944	折本	65536	25240	3	{v=0}
-146945	快班	65536	24555	3	{n=0}
-146946	胸无城	122735	170616	1	null
-146947	渐近	98431	28176	1	null
-146948	猎场	65536	29454	3	{n=0}
-146949	白话诗	65536	209099	3	{n=0}
-146950	好手	65536	22909	3	{n=4}
-146951	简单易	107161	180830	1	null
-146952	后跟	65536	21518	3	{n=0}
-146953	定弦	65536	23450	3	{v=0}
-146954	炸药	111328	28856	2	{n=0}
-146955	胸无城府	65536	146946	3	{i=0}
-146956	胸无大志	65536	147291	3	{i=0}
-146957	渐进	106544	28176	2	{v=0}
-146958	胸有成	115479	170913	1	null
-146959	纽子	65536	32445	3	{n=0}
-146960	胸有成竹	65536	146958	3	{i=2}
-146961	碰撞	65536	30896	3	{v=0, vn=3}
-146962	胸膜炎	65536	177716	3	{n=0}
-146963	绕弯	123199	32469	1	null
-146964	胼手胝	110694	146967	1	null
-146965	置办	65536	32622	3	{v=2}
-146966	智谋	65536	26234	3	{n=0}
-146967	胼手	113975	33020	1	null
-146968	后路	65536	21518	3	{n=0}
-146969	胼手胝足	65536	146964	3	{i=0}
-146970	能上能	126992	164127	1	null
-146971	能上能下	65536	146970	3	{l=1}
-146972	能动性	65536	165309	3	{n=5}
-146973	外果	68800	22806	1	null
-146974	常沅	65536	24120	3	{ns=0}
-146975	四邻	75019	22235	2	{n=0}
-146976	能大则	124156	166972	1	null
-146977	痼癖	65536	30204	3	{n=0}
-146978	实权	65536	23454	3	{n=0}
-146979	能大则大	65536	146976	3	{i=0}
-146980	港元	65536	28207	3	{n=46, q=2}
-146981	能屈能	126702	167773	1	null
-146982	能屈能伸	65536	146981	3	{i=0}
-146983	污辱	65536	27745	3	{v=1, vn=0}
-146984	能工巧	125706	168186	1	null
-146985	的确	104114	30340	2	{d=27}
-146986	能工巧匠	65536	146984	3	{i=0}
-146987	胰子	65536	33008	3	{n=1}
-146988	穗状	107546	31319	1	null
-146989	楼宇	65536	27004	3	{n=1}
-146990	普列	87836	26222	1	null
-146991	绳墨	65536	32499	3	{n=0}
-146992	能征惯	121881	168598	1	null
-146993	能征惯战	65536	146992	3	{i=0}
-146994	四郎	70360	22235	1	null
-146995	能掐会	115358	169637	1	null
-146996	土色	65536	22303	3	{n=0}
-146997	能掐会算	65536	146995	3	{l=0}
-146998	左锋	65536	24038	3	{n=0}
-146999	能文能	119506	170140	1	null
-147000	能文能武	65536	146999	3	{i=0}
-147001	好找	65536	22909	3	{a=0}
-147002	第一把	116610	141874	1	null
-147003	能歌善	113694	171617	1	null
-147004	能歌善舞	65536	147003	3	{l=1}
-147005	能源部	65536	172453	3	{n=5, nt=0}
-147006	肩上	65536	32937	3	{s=12}
-147007	能者为师	65536	147010	3	{i=0}
-147008	能者多劳	65536	149794	3	{i=0}
-147009	根指	98642	26681	1	null
-147010	能者为	122935	176922	1	null
-147011	能见度	65536	179414	3	{n=3}
-147012	瓜瓤	65536	29916	3	{n=0}
-147013	定形	78951	23450	2	{v=0}
-147014	精神焕	121152	204329	1	null
-147015	师部	65536	24072	3	{n=0}
-147016	能言善	110244	179477	1	null
-147017	浓厚	65536	27987	3	{a=26}
-147018	牌局	65536	29260	3	{n=0}
-147019	发音	65536	21457	3	{n=2, v=1, vn=1}
-147020	四部	75922	22235	1	null
-147021	能言善辩	65536	147016	3	{i=0}
-147022	封锁	74161	23553	2	{v=5, vn=6}
-147023	能说会	110078	179977	1	null
-147024	寒疟	65536	23506	3	{n=0}
-147025	能说会道	65536	147023	3	{i=0}
-147026	脂粉气	65536	151107	3	{n=0}
-147027	巴巴	85662	24052	1	null
-147028	定影	84322	23450	2	{vn=0}
-147029	脆弱性	65536	151423	3	{n=2}
-147030	磐石	65536	30928	3	{n=1}
-147031	换取	65536	25442	3	{v=8}
-147032	脂肪肝	65536	152164	3	{n=0}
-147033	脆生生	65536	157037	3	{z=0}
-147034	脆金属	65536	164383	3	{n=0}
-147035	脉冲星	65536	147352	3	{n=0}
-147036	爽约	65536	29245	3	{vn=0}
-147037	挂历	65536	25346	3	{n=4}
-147038	地矿	75707	22320	2	{n=2}
-147039	穆棱	116922	31302	1	null
-147040	结晶学	65536	198630	3	{n=0}
-147041	爆破音	65536	143902	3	{n=0}
-147042	巴布	88352	24052	1	null
-147043	脉动电流	65536	150922	3	{l=0}
-147044	硅酸钙	65536	155963	3	{n=0}
-147045	插翅	78671	25554	1	null
-147046	换句	80871	25442	1	null
-147047	抽屉	65536	25277	3	{n=2}
-147048	显贵	65536	26174	3	{n=0}
-147049	肿大	65536	32959	3	{v=0, vn=0}
-147050	微涨	65536	24494	3	{v=1}
-147051	硅酸钠	65536	155963	3	{n=0}
-147052	耍花枪	65536	170377	3	{l=0}
-147053	脉搏计	65536	152053	3	{n=0}
-147054	定律	65536	23450	3	{n=1}
-147055	污迹	65536	27745	3	{n=1}
-147056	脉脉传情	65536	147066	3	{l=0}
-147057	汗斑	65536	27735	3	{n=0}
-147058	德累	85624	24503	1	null
-147059	脂油	65536	33026	3	{n=0}
-147060	脉动星	65536	147598	3	{n=0}
-147061	地砖	65536	22320	3	{n=0}
-147062	脉脉含情	65536	148357	3	{l=0}
-147063	脊梁骨	65536	147718	3	{n=0}
-147064	寒症	65536	23506	3	{n=0}
-147065	脊椎动	117778	147859	1	null
-147066	脉脉传	122283	159471	1	null
-147067	脊椎动物	65536	147065	3	{l=11}
-147068	胳膊腕	123508	147118	1	null
-147069	脊神经	65536	152035	3	{n=0}
-147070	脊索动	117783	152999	1	null
-147071	杜马	65536	26460	3	{nz=4}
-147072	脊索动物	65536	147070	3	{l=12}
-147073	离心泵	65536	186963	3	{n=0}
-147074	脊髓炎	65536	160600	3	{n=0}
-147075	脍炙	126923	33037	1	null
-147076	立体感	65536	187868	3	{n=0}
-147077	脍炙人	125610	147075	1	null
-147078	筹委	121761	31609	2	{j=0}
-147079	犯戒	65536	29359	3	{v=0}
-147080	牡丹花	65536	133675	3	{n=0}
-147081	漠视	65536	28448	3	{v=1, vn=0}
-147082	耳朵尖	65536	194348	3	{l=0}
-147083	脆丽	65536	33030	3	{a=1}
-147084	监测站	65536	163847	3	{n=0}
-147085	脍炙人口	65536	147077	3	{i=2}
-147086	脏乎乎	65536	147756	3	{z=0}
-147087	扶贫	93993	25206	2	{n=1, v=118, vn=244}
-147088	瓜田	108868	29916	2	{n=1, nr=1}
-147089	程序模	118489	140893	1	null
-147090	换向	65536	25442	3	{vn=0}
-147091	签字笔	65536	148683	3	{n=0}
-147092	脏乱差	65536	147791	3	{l=2}
-147093	脏躁症	65536	164191	3	{n=0}
-147094	脑上体	65536	185818	3	{n=0}
-147095	脑下垂	126790	185819	1	null
-147096	散曲	65536	25955	3	{n=0}
-147097	脑下垂体	65536	147095	3	{l=0}
-147098	纤夫	65536	32420	3	{n=0}
-147099	缝子	65536	32541	3	{n=0}
-147100	得病	65536	24471	3	{v=0}
-147101	脑充血	65536	186645	3	{n=0}
-147102	显赫	101321	26174	2	{a=4}
-147103	脑力劳	125947	186987	1	null
-147104	脐带	65536	33040	3	{n=1}
-147105	硝烟	115084	30813	2	{n=5}
-147106	漫画	108363	28459	2	{n=17}
-147107	脑力劳动	65536	147103	3	{l=1}
-147108	安全	90256	23433	2	{a=105, ad=38, an=229, n=0, vn=0}
-147109	独立自	114306	194201	1	null
-147110	定心	85354	23450	1	null
-147111	泪腺	65536	27882	3	{n=0}
-147112	根据	102291	26681	2	{n=14, p=324, v=31, vn=0}
-147113	脑勺子	65536	187082	3	{n=0}
-147114	脑垂体	65536	188242	3	{n=0}
-147115	回身	65536	22238	3	{v=0}
-147116	抗体	65536	25239	3	{n=5}
-147117	数值	98520	25968	2	{n=2}
-147118	胳膊	113959	33011	2	{n=9}
-147119	脑外科	65536	188646	3	{n=1}
-147120	脑心通	65536	190355	3	{n=5}
-147121	脑溢血	65536	194162	3	{n=1}
-147122	脑满肠	114196	194225	1	null
-147123	股份合	126123	157412	1	null
-147124	盲女	65536	30450	3	{n=0}
-147125	笔记簿	65536	198575	3	{n=0}
-147126	知名演	117256	163771	1	null
-147127	育人	65536	32946	3	{v=1}
-147128	彩蝴	76393	24425	1	null
-147129	脑满肠肥	65536	147122	3	{i=0}
-147130	彩蝶	71939	24425	2	{n=0}
-147131	灌米	104407	28748	1	null
-147132	珍异	65536	29645	3	{a=0}
-147133	脑电图	65536	195845	3	{n=0}
-147134	国统	65722	22269	1	null
-147135	翌日	65536	32716	3	{t=2}
-147136	脑神经	65536	196910	3	{n=1}
-147137	联汇制	65536	203702	3	{n=3}
-147138	脑积水	65536	197055	3	{n=0}
-147139	形迹	65536	24418	3	{n=0}
-147140	旱育	89427	26097	1	null
-147141	综合征	65536	146010	3	{n=8}
-147142	脑瓜儿	65536	195756	3	{n=1}
-147143	脑细胞	65536	198294	3	{n=1}
-147144	纠察	104642	32416	2	{n=0, vn=1}
-147145	泪膜	65536	27882	3	{n=0}
-147146	脑膜炎	65536	199020	3	{n=1}
-147147	源源	111255	28304	2	{d=3}
-147148	经常性	65536	194612	3	{n=15}
-147149	脑血栓	65536	200720	3	{n=4}
-147150	挂号	95860	25346	2	{v=2, vn=0}
-147151	疑兵	65536	30097	3	{n=0}
-147152	脑袋瓜	65536	200795	3	{n=0}
-147153	脑贫血	65536	201979	3	{n=0}
-147154	奇闻	65536	22855	3	{n=0}
-147155	脑震荡	65536	204503	3	{n=3}
-147156	后身	65536	21518	3	{n=0}
-147157	脑门儿	65536	204216	3	{n=0}
-147158	脚丫子	65536	191297	3	{n=0}
-147159	脚后跟	65536	192804	3	{n=0}
-147160	柔道	65536	26580	3	{n=1}
-147161	脖子	65536	33046	3	{n=7}
-147162	常流	81266	24120	1	null
-147163	脚底板	65536	195499	3	{n=0}
-147164	脚手架	65536	196449	3	{n=0}
-147165	脚指头	65536	196637	3	{n=0}
-147166	脓包	65536	33043	3	{n=0}
-147167	滥觞	65536	28389	3	{n=1}
-147168	多来	77792	22810	1	null
-147169	脚步声	65536	198779	3	{n=3}
-147170	祭台	65536	31085	3	{n=0}
-147171	滑县	65536	28369	3	{ns=1}
-147172	挂名	65536	25346	3	{v=0}
-147173	脚脖子	65536	204332	3	{n=0}
-147174	胳臂	65536	33011	3	{n=0}
-147175	织成	65536	32455	3	{v=2}
-147176	楼层	65536	27004	3	{n=1}
-147177	玉泉营	65536	183563	3	{ns=0}
-147178	脚腕子	65536	204395	3	{n=0}
-147179	脚趾头	65536	207572	3	{n=0}
-147180	脚踏实地	65536	147181	3	{i=17}
-147181	脚踏实	124860	207653	1	null
-147182	脚蹬子	65536	207746	3	{n=0}
-147183	脱出症	65536	193055	3	{n=0}
-147184	窃案	65536	31363	3	{n=0}
-147185	罢了	65536	32610	3	{y=6}
-147186	巴库	65536	24052	3	{ns=0, nz=1}
-147187	脱口而	126202	193544	1	null
-147188	脱口而出	65536	147187	3	{i=2}
-147189	脱壳机	65536	194840	3	{n=0}
-147190	狐火	65536	29392	3	{n=0}
-147191	脱氧剂	65536	199756	3	{n=0}
-147192	客饭	65536	23458	3	{n=0}
-147193	耍花样	65536	170377	3	{l=0}
-147194	焊料	65536	28938	3	{n=0}
-147195	脱氧核糖	120517	152813	1	null
-147196	多极	78197	22810	2	{n=7}
-147197	脱氧核糖核	109959	147195	1	null
-147198	稿本	65536	31295	3	{n=0}
-147199	脱氧核糖核酸	65536	147197	3	{n=0}
-147200	脱离速	122973	203232	1	null
-147201	脱水剂	65536	199769	3	{n=0}
-147202	碎片	65536	30862	3	{n=3}
-147203	脱离速度	65536	147200	3	{l=0}
-147204	结构式	65536	198900	3	{n=0}
-147205	脱粒机	65536	203959	3	{n=3}
-147206	整取	65536	25972	3	{v=0}
-147207	格外	65536	26684	3	{d=32}
-147208	脱缰之	107677	204629	1	null
-147209	脱缰之马	65536	147208	3	{i=0}
-147210	定性	84395	23450	2	{v=2, vd=0, vn=1}
-147211	液相	96900	28082	1	null
-147212	聚居地	65536	190654	3	{n=1}
-147213	招引	65536	25307	3	{v=0}
-147214	绝缘子	65536	204146	3	{n=1}
-147215	瞎眼	65536	30606	3	{v=1}
-147216	脱胎换	107625	205043	1	null
-147217	脱胎换骨	65536	147216	3	{i=0}
-147218	脱色剂	65536	205463	3	{n=0}
-147219	归类	65536	24402	3	{v=1, vn=2}
-147220	脱脂剂	65536	205095	3	{n=0}
-147221	脱衣舞	65536	206984	3	{n=0}
-147222	折桂	65536	25240	3	{v=1}
-147223	楼山	105292	27004	1	null
-147224	脱贫率	65536	208208	3	{n=2}
-147225	脱贫致富	65536	150917	3	{l=49}
-147226	枪弹	65536	26538	3	{n=1}
-147227	脱颖而出	65536	159022	3	{i=12}
-147228	脱颖出	65536	211131	3	{i=1}
-147229	脸上无	126425	161352	1	null
-147230	胸中有	120958	164549	1	null
-147231	怀铁	65536	24576	3	{j=0}
-147232	地磁	76537	22320	2	{n=1}
-147233	竟敢	65536	31455	3	{v=0}
-147234	脸上无光	65536	147229	3	{l=1}
-147235	恶疮	65536	24694	3	{n=0}
-147236	地磅	65536	22320	3	{n=0}
-147237	枯草	97716	26543	2	{n=0}
-147238	脸盆架	65536	171780	3	{n=0}
-147239	脸谱化	65536	177263	3	{v=1}
-147240	脸皮厚	65536	171756	3	{l=0}
-147241	腈纶	65536	33096	3	{n=0}
-147242	头虱	65536	22836	3	{n=0}
-147243	师里	65536	24072	3	{n=0}
-147244	腊八粥	65536	147334	3	{n=0}
-147245	相对湿	113980	195313	1	null
-147246	简单机	115254	180830	1	null
-147247	腊玛古	117749	156086	1	null
-147248	四里	75092	22235	1	null
-147249	四重	73077	22235	1	null
-147250	四野	65536	22235	3	{j=0, n=0, nz=1}
-147251	恶疾	65536	24694	3	{n=0}
-147252	腊玛古猿	65536	147247	3	{n=0}
-147253	封门	65536	23553	3	{v=2, vn=0}
-147254	腋下	65536	33099	3	{s=3}
-147255	盖子	65536	30422	3	{n=0}
-147256	整合	65536	25972	3	{v=5, vn=8}
-147257	投劳	65536	25237	3	{j=3, v=0}
-147258	封闭	82274	23553	2	{a=0, v=18, vd=3, vn=6}
-147259	腌制	65536	33100	3	{v=0}
-147260	粘度	65536	31896	3	{n=0}
-147261	混合面	65536	141444	3	{n=0}
-147262	窝巢	65536	31389	3	{n=0}
-147263	腐殖土	65536	157847	3	{n=0}
-147264	奇险	65536	22855	3	{a=1}
-147265	窝工	65536	31389	3	{v=0}
-147266	安分	81365	23433	2	{a=3}
-147267	腐蚀剂	65536	164737	3	{n=1}
-147268	拖车	65536	25302	3	{n=0, q=0}
-147269	腓骨	65536	33107	3	{n=0}
-147270	物资部	65536	170041	3	{nt=0}
-147271	腔肠动	117986	147285	1	null
-147272	格套	65536	26684	3	{n=1}
-147273	绣墩	110570	32483	1	null
-147274	家常	85384	23478	2	{n=2}
-147275	腔肠动物	65536	147271	3	{l=0}
-147276	拖轮	65536	25302	3	{n=0}
-147277	招录	65536	25307	3	{v=0}
-147278	津门	65536	27941	3	{ns=2}
-147279	施舍	65536	26045	3	{v=0, vn=0}
-147280	疑凶	65536	30097	3	{n=0}
-147281	对外	84602	23545	2	{n=0, v=19, vd=8, vn=57}
-147282	定息	65536	23450	3	{n=4}
-147283	空白点	65536	202511	3	{n=1}
-147284	甚笃	65536	29978	3	{z=1}
-147285	腔肠	126111	33108	1	null
-147286	广学	88233	24191	1	null
-147287	腕力	65536	33109	3	{n=0}
-147288	脾性	65536	33086	3	{n=0}
-147289	腥风血	108658	164858	1	null
-147290	腥风血雨	65536	147289	3	{i=0}
-147291	胸无大	122421	170616	1	null
-147292	散架	65536	25955	3	{v=0}
-147293	腥黑穗	117149	166397	1	null
-147294	失火	65536	22833	3	{v=0, vn=1}
-147295	电解铜	65536	204328	3	{n=0}
-147296	电解铝	65536	204328	3	{n=0}
-147297	系念	65536	31995	3	{v=0}
-147298	腥黑穗病	65536	147293	3	{l=0}
-147299	服务生	65536	133989	3	{n=0}
-147300	女流	65536	22899	3	{n=0}
-147301	安利	65536	23433	3	{nz=0}
-147302	回车	65539	22238	2	{v=1}
-147303	腭裂	65536	33133	3	{n=0}
-147304	失灵	65536	22833	3	{v=3, vn=0}
-147305	管辖权	65536	204872	3	{n=4}
-147306	声门	65536	22768	3	{n=0}
-147307	综合性	65536	146010	3	{b=0, n=22}
-147308	回转	75948	22238	2	{vn=0}
-147309	糊料	65536	31946	3	{n=0}
-147310	职业化	65536	165138	3	{v=0, vn=2}
-147311	对头	65536	23545	3	{a=1, n=0}
-147312	聪敏	65536	32874	3	{a=0}
-147313	广宁	79109	24191	1	null
-147314	片头	65536	29255	3	{n=0}
-147315	抢购	95483	25250	2	{v=5, vn=0}
-147316	聊以塞	109874	146351	1	null
-147317	腮帮子	65536	148745	3	{n=0}
-147318	胰岛	114826	33008	2	{n=0}
-147319	扬言	65536	25196	3	{v=6}
-147320	溢洪闸	65536	139149	3	{n=0}
-147321	广安	88140	24191	2	{ns=0}
-147322	美食城	65536	210079	3	{n=2}
-147323	秧田	65536	31207	3	{n=0}
-147324	罢休	65536	32610	3	{v=2}
-147325	招待	95815	25307	2	{v=7, vn=5}
-147326	腮腺炎	65536	157781	3	{n=0}
-147327	腰果仁	65536	170924	3	{n=0}
-147328	腰椎间	116909	171294	1	null
-147329	滴眼	98019	28404	1	null
-147330	港务	107431	28207	2	{n=1}
-147331	联络处	65536	208459	3	{n=2}
-147332	祈求	65536	31048	3	{v=2, vn=0}
-147333	腰椎间盘	65536	147328	3	{n=0}
-147334	腊八	115335	33098	1	null
-147335	腰缠万	111194	176944	1	null
-147336	封阻	65536	23553	3	{v=1}
-147337	腰缠万贯	65536	147335	3	{i=1}
-147338	腰杆儿	65536	170838	3	{n=0}
-147339	肢势	65536	32930	3	{n=0}
-147340	老大哥	65536	208264	3	{n=2}
-147341	招徕	65536	25307	3	{v=3, vn=0}
-147342	腰鼓舞	65536	185123	3	{n=0}
-147343	后车	73921	21518	1	null
-147344	渺无踪	94249	133650	1	null
-147345	腱子	65536	33137	3	{n=0}
-147346	湘绣	65536	28248	3	{n=0}
-147347	百分率	65536	182751	3	{n=0}
-147348	布琼	84694	24067	1	null
-147349	腱鞘炎	65536	162777	3	{n=0}
-147350	官爵	65536	23448	3	{n=0}
-147351	后轮	65536	21518	3	{n=0}
-147352	脉冲	120892	33033	2	{n=2}
-147353	更夫	65536	26356	3	{n=0}
-147354	笆篓	65536	31494	3	{n=0}
-147355	腹心区	65536	160986	3	{n=1}
-147356	腹股沟	65536	169400	3	{n=0}
-147357	后轴	65536	21518	3	{n=0}
-147358	杀戮	65536	26432	3	{v=0, vn=0}
-147359	腥味	65536	33125	3	{n=0}
-147360	男子组	65536	165656	3	{n=3}
-147361	得益	65536	24471	3	{v=19}
-147362	羊毛绒	65536	195093	3	{n=1}
-147363	腹背受	121436	169443	1	null
-147364	畜禽	65536	30044	3	{n=5}
-147365	氯霉	95309	27695	1	null
-147366	糕点	65536	31957	3	{n=3}
-147367	家底	65536	23478	3	{n=3}
-147368	腹背受敌	65536	147363	3	{i=0}
-147369	腹腔镜	65536	169579	3	{n=0}
-147370	溜肩	98125	28316	1	null
-147371	如胶	81769	22914	1	null
-147372	撒谎	65536	25746	3	{v=2}
-147373	腹足类	65536	172746	3	{n=0}
-147374	腺细	114385	33146	1	null
-147375	腺细胞	65536	147374	3	{n=0}
-147376	腼腆	65536	33148	3	{a=0, an=0}
-147377	后辈	65536	21518	3	{n=1}
-147378	多样	78198	22810	2	{a=3, m=16}
-147379	祭品	65536	31085	3	{n=0}
-147380	护符	65536	25252	3	{n=0}
-147381	腽肭	126527	33149	1	null
-147382	抢走	65536	25250	3	{v=2}
-147383	腻味	65536	33147	3	{v=0}
-147384	笆篱	65536	31494	3	{n=0}
-147385	联系卡	65536	207978	3	{n=1}
-147386	潮安	110517	28526	1	null
-147387	杀手	85131	26432	2	{n=1}
-147388	腽肭兽	65536	147381	3	{n=0}
-147389	腾云驾	108736	147577	1	null
-147390	腾云驾雾	65536	147389	3	{i=0}
-147391	家庭	82865	23478	2	{n=269}
-147392	胸怀大	122400	169112	1	null
-147393	回迁	65536	22238	3	{v=1, vn=1}
-147394	常温	87807	24120	2	{n=0}
-147395	腾格里	65536	154148	3	{ns=0}
-147396	着眼点	65536	165346	3	{n=4}
-147397	巴彦	80491	24052	1	null
-147398	腾空而	111185	158818	1	null
-147399	回过	65536	22238	3	{v=2}
-147400	腾空而起	65536	147398	3	{l=5}
-147401	强买	86375	24378	1	null
-147402	腿肚子	65536	156269	3	{n=0}
-147403	恶癖	65536	24694	3	{n=0}
-147404	朱镕	100672	26417	1	null
-147405	腿腕子	65536	156456	3	{n=0}
-147406	腮壳	65536	33134	3	{n=1}
-147407	发饷	65536	21457	3	{v=0}
-147408	膀大腰	125132	147445	1	null
-147409	潜回	65536	28508	3	{v=0}
-147410	膀大腰圆	65536	147408	3	{l=0}
-147411	碳氢	118400	30899	1	null
-147412	回返	65536	22238	3	{v=0}
-147413	膀胱炎	65536	157631	3	{n=0}
-147414	肯切	65536	32943	3	{a=0}
-147415	膀阔腰	125140	163042	1	null
-147416	科技教	107545	188514	1	null
-147417	折椅	65536	25240	3	{n=0}
-147418	膀阔腰圆	65536	147415	3	{l=0}
-147419	答对	65536	31572	3	{v=0}
-147420	联合会	65536	197495	3	{n=41}
-147421	膂力	65536	33154	3	{n=0}
-147422	泪花	65536	27882	3	{n=4}
-147423	情形	65536	24773	3	{n=17}
-147424	绘影	111530	32472	1	null
-147425	普及	99037	26222	2	{a=5, an=2, v=36, vn=14}
-147426	后边	65536	21518	3	{f=1}
-147427	美容术	65536	194425	3	{n=0}
-147428	国者	65536	22269	3	{n=1}
-147429	绍兴戏	65536	144608	3	{n=0}
-147430	红灯记	65536	207373	3	{nz=0}
-147431	膈膜	65536	33160	3	{n=0}
-147432	琼脂	65536	29756	3	{n=0}
-147433	数典	94003	25968	1	null
-147434	枯萎	65536	26543	3	{v=0}
-147435	膏粱子	123085	158300	1	null
-147436	膏粱子弟	65536	147435	3	{i=0}
-147437	膏剂	65536	33167	3	{n=0}
-147438	竟是	65536	31455	3	{v=6}
-147439	膘肥体	124677	155601	1	null
-147440	后过	65776	21518	1	null
-147441	膘情	65536	33176	3	{n=0}
-147442	格威	95326	26684	1	null
-147443	膘肥体壮	65536	147439	3	{i=1}
-147444	膘肥肉厚	65536	160037	3	{i=0}
-147445	膀大	114272	33152	1	null
-147446	老太太	65536	208267	3	{n=15}
-147447	磷酸钙	65536	156359	3	{n=0}
-147448	玻璃杯	65536	143711	3	{n=0}
-147449	腿带	65536	33151	3	{n=0}
-147450	禽流	115475	31165	1	null
-147451	膛线	65536	33179	3	{n=0}
-147452	膝关节	65536	148362	3	{n=0}
-147453	膝盖骨	65536	157933	3	{n=0}
-147454	膨体纱	65536	147455	3	{n=0}
-147455	膨体	115021	33192	1	null
-147456	绝缘层	65536	204146	3	{n=0}
-147457	燕子	110816	29141	2	{n=2}
-147458	留后路	65536	183565	3	{v=0}
-147459	治丧	65536	27835	3	{vn=0}
-147460	后进	67528	21518	2	{a=0, b=3, n=0}
-147461	征缴	65536	24449	3	{v=0, vn=0}
-147462	膨松剂	65536	153642	3	{n=0}
-147463	生物碱	65536	197762	3	{n=0}
-147464	玻璃板	65536	143711	3	{n=1}
-147465	膨胀系	121499	160108	1	null
-147466	疲沓	65536	30130	3	{a=0}
-147467	膨胀系数	65536	147465	3	{l=0}
-147468	授课	65536	25480	3	{v=5, vn=0}
-147469	膳食费	65536	150453	3	{n=0}
-147470	瓜皮	111193	29916	2	{n=0}
-147471	膳费	65536	33203	3	{n=0}
-147472	膻味	65536	33211	3	{n=0}
-147473	猎奇	65536	29454	3	{v=0, vn=0}
-147474	看上眼	65536	168139	3	{l=0}
-147475	强人	85603	24378	2	{n=0}
-147476	篾条	65536	31742	3	{n=0}
-147477	联合体	65536	197495	3	{n=5}
-147478	巴德	81742	24052	1	null
-147479	臃肿	65536	33219	3	{a=5}
-147480	深沟高	108126	184095	1	null
-147481	土著	76524	22303	2	{n=0, nz=2}
-147482	国耻	65536	22269	3	{n=4}
-147483	潜在	65536	28508	3	{b=18, v=1}
-147484	结构性	65536	198900	3	{n=24}
-147485	臊气	65536	33226	3	{n=0}
-147486	声障	65536	22768	3	{n=0}
-147487	溃败	65536	28291	3	{v=0}
-147488	普吉	65536	26222	3	{ns=2}
-147489	而况	65536	32780	3	{c=0}
-147490	膝下	65536	33181	3	{n=2}
-147491	臧否	65536	33255	3	{n=0, v=1}
-147492	自上而	127514	206138	1	null
-147493	自上而下	65536	147492	3	{l=1}
-147494	斗笠	65536	26007	3	{n=0}
-147495	自下而	127520	206139	1	null
-147496	给定	65536	32473	3	{v=0, vn=0}
-147497	后退	65536	21518	3	{v=3, vn=1}
-147498	自下而上	65536	147495	3	{l=3}
-147499	罗马教	114531	209839	1	null
-147500	自不待言	65536	147509	3	{l=0}
-147501	臀围	65536	33216	3	{n=0}
-147502	土葬	65536	22303	3	{n=0, v=0}
-147503	聪明	126326	32874	2	{a=11, an=0}
-147504	港协	65536	28207	3	{j=3}
-147505	自不必说	65536	147573	3	{l=1}
-147506	秀才	120193	31168	2	{n=3}
-147507	国联	65536	22269	3	{j=1}
-147508	自不量力	65536	160383	3	{i=0}
-147509	自不待	112172	206141	1	null
-147510	自个儿	65536	206170	3	{r=1}
-147511	细胞学	65536	204586	3	{n=0}
-147512	家弦	80652	23478	1	null
-147513	自为阶	115091	206186	1	null
-147514	自为阶级	65536	147513	3	{l=0}
-147515	名角	65536	21517	3	{n=9}
-147516	自主神经	65536	157344	3	{l=0}
-147517	强令	65536	24378	3	{v=2}
-147518	地租	65536	22320	3	{n=1}
-147519	臣僚	65536	33251	3	{n=0}
-147520	臆想	65536	33222	3	{v=0, vn=0}
-147521	烘漆	65536	28888	3	{v=0}
-147522	罗马数	121494	209839	1	null
-147523	地秤	65536	22320	3	{n=0}
-147524	自主经营	121091	158737	2	{l=5}
-147525	灼见	65536	28796	3	{n=0}
-147526	自主经营权	65536	147524	3	{n=1}
-147527	自习课	65536	206224	3	{n=0}
-147528	检讨	104995	26816	2	{v=1, vn=0}
-147529	自产自	109386	206295	1	null
-147530	自产自销	65536	147529	3	{l=0}
-147531	旱船	65536	26097	3	{n=0}
-147532	自以为	121376	206357	1	null
-147533	治乱	107599	27835	2	{v=0}
-147534	地积	65536	22320	3	{n=0}
-147535	自以为是	65536	147532	3	{i=1}
-147536	自传体	65536	206416	3	{n=1}
-147537	琐细	65536	29712	3	{a=0}
-147538	安化	65536	23433	3	{ns=0}
-147539	磷酸铵	65536	156359	3	{n=0}
-147540	纰缪	65536	32432	3	{n=0}
-147541	硝酸钠	65536	155450	3	{n=0}
-147542	房梁	65536	25151	3	{n=1}
-147543	自作主	123193	206476	1	null
-147544	自主化	65536	206187	3	{v=1, vn=1}
-147545	自作主张	65536	147543	3	{l=0}
-147546	自作聪明	65536	160390	3	{i=0}
-147547	自作自受	65536	160774	3	{i=0}
-147548	自信心	65536	206609	3	{n=1}
-147549	自做主	123202	206730	1	null
-147550	微澜	65536	24494	3	{n=0}
-147551	朱门	65536	26417	3	{n=0}
-147552	绘图室	65536	145261	3	{n=0}
-147553	肆无	121790	32902	1	null
-147554	自做主张	65536	147549	3	{i=0}
-147555	自决权	65536	207075	3	{n=0}
-147556	探头	91417	25506	2	{n=0, v=1, vn=0}
-147557	家当	65536	23478	3	{n=3}
-147558	示范区	65536	153264	3	{n=7}
-147559	臂力	65536	33218	3	{n=0}
-147560	幽默	84680	24189	2	{a=15, an=2}
-147561	名言	65536	21517	3	{n=10}
-147562	欺骗	65536	27450	3	{v=4, vn=3}
-147563	稽留	112069	31293	1	null
-147564	自制力	65536	207206	3	{n=1}
-147565	地税	73565	22320	2	{j=4, n=0}
-147566	神经中	113569	206548	1	null
-147567	经社理	123742	201530	1	null
-147568	纲常	65536	32434	3	{n=0}
-147569	纬度	65536	32428	3	{n=0}
-147570	自力更生	65536	147576	3	{i=20}
-147571	硝酸钾	65536	155450	3	{n=0}
-147572	耶路撒冷市	65536	145967	3	{ns=0}
-147573	自不必	111677	206141	1	null
-147574	脊柱	65536	33034	3	{n=1}
-147575	如臂	81704	22914	1	null
-147576	自力更	117587	207307	1	null
-147577	腾云	107839	33150	1	null
-147578	胖乎	126686	32982	1	null
-147579	自力霉素	65536	159885	3	{n=0}
-147580	自动应答	65536	151627	3	{l=0}
-147581	情怀	65536	24773	3	{n=17}
-147582	情态	65536	24773	3	{n=0}
-147583	回避	65536	22238	3	{v=10, vn=4}
-147584	后遗	65570	21518	1	null
-147585	自动步枪	65536	154908	3	{l=0}
-147586	自动铅笔	65536	165500	3	{n=0}
-147587	自助式	65536	207321	3	{b=0}
-147588	自卑感	65536	207489	3	{n=0}
-147589	自卖自	124750	207494	1	null
-147590	自卖自夸	65536	147589	3	{l=0}
-147591	盗匪	65536	30423	3	{n=0}
-147592	数列	65536	25968	3	{n=1}
-147593	声震	79012	22768	1	null
-147594	自卸船	65536	207528	3	{n=1}
-147595	广岛	65536	24191	3	{ns=0}
-147596	自发性	65536	207617	3	{n=1}
-147597	左面	65536	24038	3	{f=0}
-147598	脉动	120917	33033	1	null
-147599	示波	117706	31034	1	null
-147600	羽绒服	65536	159586	3	{n=7}
-147601	自取灭	127473	207622	1	null
-147602	自取灭亡	65536	147601	3	{i=0}
-147603	安南	65536	23433	3	{nr=24, r=0}
-147604	圣雪	66202	22307	1	null
-147605	自变数	65536	207624	3	{n=0}
-147606	珍惜	65536	29645	3	{v=21, vn=1}
-147607	投向	65536	25237	3	{v=18, vn=8}
-147608	盲字	65536	30450	3	{n=0}
-147609	独木舟	65536	189174	3	{n=0}
-147610	情思	65536	24773	3	{n=6}
-147611	焊机	65536	28938	3	{n=0}
-147612	自卫军	65536	207515	3	{n=0}
-147613	安卡	79510	23433	1	null
-147614	猛不	96012	29467	1	null
-147615	自古以	121147	207636	1	null
-147616	自古以来	65536	147615	3	{l=2}
-147617	自各儿	65536	207668	3	{r=0}
-147618	情急	65536	24773	3	{a=0}
-147619	安卧	65536	23433	3	{v=0}
-147620	家徒	83569	23478	1	null
-147621	自吹自	121828	207721	1	null
-147622	自吹自擂	65536	147621	3	{i=1}
-147623	未经	65536	26410	3	{d=14}
-147624	楼市	65536	27004	3	{n=0}
-147625	翼型	65536	32764	3	{n=0}
-147626	硝酸铵	65536	155450	3	{n=1}
-147627	硝酸银	65536	155450	3	{n=0}
-147628	自告奋	126442	207738	1	null
-147629	安危	73708	23433	2	{n=5}
-147630	合龙	65536	21512	3	{v=0}
-147631	封面	74172	23553	2	{n=7}
-147632	混水	104882	28151	1	null
-147633	自告奋勇	65536	147628	3	{i=2}
-147634	自命不	126675	207789	1	null
-147635	盗卖	111132	30423	2	{v=25, vn=2}
-147636	自命不凡	65536	147634	3	{i=0}
-147637	强作	75459	24378	1	null
-147638	自圆其	111812	208438	1	null
-147639	流通领	107121	189173	1	null
-147640	自圆其说	65536	147638	3	{i=0}
-147641	自在阶	115220	208472	1	null
-147642	声霸	77433	22768	1	null
-147643	自在阶级	65536	147641	3	{l=0}
-147644	得知	65536	24471	3	{v=34}
-147645	粘性	65536	31896	3	{n=0}
-147646	自大狂	65536	208983	3	{n=0}
-147647	班主	114810	29677	1	null
-147648	珀金	108899	29632	1	null
-147649	立法权	65536	195422	3	{n=0}
-147650	焊条	65536	28938	3	{n=0}
-147651	自始至	115198	209147	1	null
-147652	港口	108637	28207	2	{n=24}
-147653	燕尔	107232	29141	1	null
-147654	自始至终	65536	147651	3	{i=3}
-147655	并购	82807	24182	2	{v=4, vn=5}
-147656	巴恩	84435	24052	1	null
-147657	自学成	122493	209558	1	null
-147658	自学成才	65536	147657	3	{l=2}
-147659	旱芹	65536	26097	3	{n=0}
-147660	欧罗	101798	27431	1	null
-147661	盗印	65536	30423	3	{v=2, vn=1}
-147662	洗手间	65536	161008	3	{n=0}
-147663	自寻烦	122970	209707	1	null
-147664	浸透	65536	28024	3	{v=3}
-147665	港台	65536	28207	3	{j=0}
-147666	扶轮	65536	25206	3	{nz=0}
-147667	地穴	65536	22320	3	{n=0}
-147668	结核病	65536	199080	3	{n=1}
-147669	自动伞	65536	207320	3	{n=0}
-147670	自寻烦恼	65536	147663	3	{l=0}
-147671	绳子	65536	32499	3	{n=1}
-147672	自寻短见	65536	149462	3	{l=0}
-147673	地空	73544	22320	1	null
-147674	自尊心	65536	209722	3	{n=2}
-147675	自己人	65536	210209	3	{n=0}
-147676	突兀	65536	31361	3	{v=1, vn=0}
-147677	自强不	122991	210538	1	null
-147678	自强不息	65536	147677	3	{i=9}
-147679	自得其	127633	210631	1	null
-147680	独立营	65536	194201	3	{n=1}
-147681	自得其乐	65536	147679	3	{i=1}
-147682	碰杯	65536	30896	3	{v=1}
-147683	礁盘	65536	30977	3	{n=0}
-147684	旁边	65536	26049	3	{f=12}
-147685	纽带	65536	32445	3	{n=19}
-147686	引得	65536	24341	3	{n=0, v=1}
-147687	感激	93797	24863	2	{v=11, vn=1}
-147688	国脉	69963	22269	1	null
-147689	自怨自	114284	210776	1	null
-147690	自怨自艾	65536	147689	3	{i=0}
-147691	示范县	65536	153264	3	{n=0}
-147692	翼城	123944	32764	2	{ns=2}
-147693	自惭形	116465	210973	1	null
-147694	自惭形秽	65536	147693	3	{i=0}
-147695	燕尾	106889	29141	1	null
-147696	聋子	65536	32843	3	{n=0}
-147697	招惹	65536	25307	3	{v=1, vn=0}
-147698	名誉	68626	21517	2	{n=24}
-147699	自感应	65536	211023	3	{n=0}
-147700	撒赖	65536	25746	3	{v=0}
-147701	地窖	65536	22320	3	{n=0}
-147702	自愧不	124789	211031	1	null
-147703	自愧不如	65536	147702	3	{i=0}
-147704	救死	93073	25937	1	null
-147705	国脚	65536	22269	3	{n=0}
-147706	绽开	65536	32509	3	{v=3}
-147707	自愧弗如	65536	152064	3	{i=0}
-147708	百战百	104370	186865	1	null
-147709	斗篷	65536	26007	3	{n=0}
-147710	地窟	65536	22320	3	{n=0}
-147711	纵横弛	103887	173415	1	null
-147712	自成一	127417	211264	1	null
-147713	突入	65536	31361	3	{v=0}
-147714	砚田	65536	30746	3	{n=1}
-147715	欧美	65536	27431	3	{j=0}
-147716	自我作古	65536	147738	3	{i=0}
-147717	自我批评	65536	152631	3	{n=7}
-147718	脊梁	107471	33034	2	{n=4}
-147719	地窨	73768	22320	1	null
-147720	混沌	65536	28151	3	{a=1}
-147721	拆阅	65536	25286	3	{v=0}
-147722	自我标榜	65536	154053	3	{i=0}
-147723	焊枪	65536	28938	3	{n=1}
-147724	自成一体	65536	147712	3	{l=0}
-147725	头衔	65536	22836	3	{n=1}
-147726	自我牺牲	65536	156728	3	{i=1}
-147727	自我陶醉	65536	165940	3	{i=0}
-147728	生命线	65536	190102	3	{n=5}
-147729	自找麻	118830	211374	1	null
-147730	老太婆	65536	208267	3	{n=0}
-147731	烹调	105074	28921	2	{v=0, vn=1}
-147732	自找麻烦	65536	147729	3	{l=0}
-147733	自投罗	115141	211397	1	null
-147734	自投罗网	65536	147733	3	{i=0}
-147735	自掘坟	125061	211656	1	null
-147736	自掘坟墓	65536	147735	3	{i=1}
-147737	炸虾	102884	28856	1	null
-147738	自我作	126240	211265	1	null
-147739	溜冰鞋	65536	135345	3	{n=0}
-147740	自控空	122630	211671	1	null
-147741	磨刀霍	101108	178280	1	null
-147742	自控空战	121318	147740	1	null
-147743	窝心	65536	31389	3	{a=0}
-147744	自控空战机	65536	147742	3	{n=1}
-147745	自收自	121844	212070	1	null
-147746	燕山	98381	29141	2	{ns=2}
-147747	自收自支	65536	147745	3	{l=1}
-147748	怀集	65536	24576	3	{n=0}
-147749	自暴自	123427	212452	1	null
-147750	自暴自弃	65536	147749	3	{i=0}
-147751	浅吟	109327	27973	1	null
-147752	自有率	65536	212537	3	{n=1}
-147753	征聘	65536	24449	3	{vn=0}
-147754	自来水	116247	212629	2	{n=10}
-147755	自来水笔	65536	147754	3	{n=0}
-147756	脏乎	127040	33039	1	null
-147757	微火	65536	24494	3	{n=0}
-147758	安史	84794	23433	1	null
-147759	好整	81753	22909	1	null
-147760	发高	65550	21457	1	null
-147761	自欺欺	127608	213610	1	null
-147762	自欺欺人	65536	147761	3	{i=0}
-147763	盗取	65536	30423	3	{v=0}
-147764	自民党	65536	213825	3	{j=0, n=12}
-147765	自治县委	65536	148974	3	{n=0}
-147766	细菌武	121556	205336	1	null
-147767	朱雀	65536	26417	3	{n=0}
-147768	自治机关	65536	153961	3	{l=10}
-147769	自流灌溉	65536	156405	3	{l=0}
-147770	绸子	65536	32504	3	{n=0}
-147771	膝伤	65536	33181	3	{n=0}
-147772	育儿	111572	32946	1	null
-147773	自然主义	65536	166798	3	{l=0, n=0}
-147774	自流井	65536	214129	3	{ns=0}
-147775	自然保护	126472	167216	1	null
-147776	老婆婆	65536	208551	3	{n=0}
-147777	格子	65536	26684	3	{n=1}
-147778	自然保护区	65536	147775	3	{n=14}
-147779	聪明反	111287	147503	1	null
-147780	自然免疫	65536	167584	3	{l=0}
-147781	安吉	65536	23433	3	{ns=0}
-147782	自然发生	112013	168228	1	null
-147783	自然发生论	65536	147782	3	{n=1}
-147784	自然存在	118499	170155	1	null
-147785	癌细	103813	30284	1	null
-147786	线路板	65536	190848	3	{n=0}
-147787	归纳	82996	24402	2	{v=3, vn=1}
-147788	自然存在物	65536	147784	3	{n=1}
-147789	寒碜	65536	23506	3	{a=0, v=0}
-147790	自然灾害	65536	175569	3	{l=15}
-147791	脏乱	123046	33039	2	{a=0, an=0}
-147792	自然环境	65536	176386	3	{l=5}
-147793	插花	65536	25554	3	{vn=0}
-147794	好斗	65536	22909	3	{a=1}
-147795	发髻	65536	21457	3	{n=0}
-147796	抗击	65536	25239	3	{v=1, vn=0}
-147797	自然科学	65536	177956	3	{l=16, n=1}
-147798	自然经济	65536	179234	3	{n=5}
-147799	自然而然	65536	179551	3	{i=6}
-147800	睡乡	65536	30561	3	{n=0}
-147801	窥望	65536	31397	3	{v=0}
-147802	祭器	65536	31085	3	{n=0}
-147803	玻璃棒	65536	143711	3	{n=0}
-147804	失物	65536	22833	3	{n=0}
-147805	自然规律	65536	182039	3	{l=1}
-147806	自然资源	65536	182935	3	{l=9}
-147807	自然选择	65536	183644	3	{l=0}
-147808	权衡	65536	26435	3	{v=3, vn=0}
-147809	自燃性	65536	215283	3	{n=0}
-147810	未羊	65536	26410	3	{t=0}
-147811	搭车	65536	25645	3	{v=0}
-147812	肝胆相	117365	162160	1	null
-147813	废钢	65536	24223	3	{n=0}
-147814	如花	81774	22914	1	null
-147815	自生自	119036	216143	1	null
-147816	拆除	65536	25286	3	{v=5, vn=0}
-147817	自生自灭	65536	147815	3	{i=1}
-147818	盗名	110370	30423	1	null
-147819	归结	65536	24402	3	{n=1, v=3}
-147820	磕碰	65536	30933	3	{v=2, vn=0}
-147821	自由主义	65536	167351	3	{l=1, n=0}
-147822	自由体操	65536	167631	3	{l=0}
-147823	市级	65536	24066	3	{b=5}
-147824	楼廊	65536	27004	3	{n=1}
-147825	脉压	65536	33033	3	{n=0}
-147826	自由市场	65536	171390	3	{n=0}
-147827	立方根	65536	193602	3	{n=0}
-147828	自由放任	65536	173242	3	{l=0}
-147829	声音	65536	22768	3	{n=27}
-147830	自由民主	127006	174989	1	null
-147831	声韵	75382	22768	2	{n=1}
-147832	自由民主党	65536	147830	3	{n=1}
-147833	自由王国	65536	176903	3	{l=0}
-147834	搭载	65536	25645	3	{v=2, vn=0}
-147835	密锣	74051	23494	1	null
-147836	自由电子	65536	177329	3	{l=0}
-147837	沿门	103440	27839	1	null
-147838	纤小	65536	32420	3	{a=0}
-147839	自由职业	115067	180168	2	{l=0}
-147840	自由职业者	65536	147839	3	{n=1}
-147841	网球拍	65536	194328	3	{n=0}
-147842	自治体	65536	213995	3	{n=0}
-147843	狐狸	110512	29392	2	{n=2}
-147844	废铁	65536	24223	3	{n=0}
-147845	空间点	102794	210566	1	null
-147846	立足未	110193	203836	1	null
-147847	纤尘	65536	32420	3	{n=0}
-147848	自由自在	65536	180582	3	{i=4}
-147849	服装	101267	26381	2	{n=65}
-147850	自画像	65536	216171	3	{n=0}
-147851	对子	65536	23545	3	{n=15}
-147852	情意	65536	24773	3	{n=5}
-147853	滑冰鞋	65536	146644	3	{n=0}
-147854	片子	65536	29255	3	{n=7}
-147855	自白书	65536	216493	3	{n=0}
-147856	自相惊扰	65536	147893	3	{i=0}
-147857	磕磕	114006	30933	1	null
-147858	空格键	65536	198862	3	{n=0}
-147859	脊椎	125905	33034	2	{n=1}
-147860	自留地	65536	216201	3	{n=1}
-147861	自相矛盾	65536	153798	3	{i=0}
-147862	突出	65536	31361	3	{a=133, ad=11, d=1, v=41, vn=0}
-147863	突击	116148	31361	2	{v=7, vd=4, vn=3}
-147864	自相鱼肉	65536	163175	3	{i=0}
-147865	旁遮	93470	26049	1	null
-147866	如若	82100	22914	2	{c=1}
-147867	皮带轮	65536	184657	3	{n=0}
-147868	情感	65536	24773	3	{n=39}
-147869	自知之	121748	216853	1	null
-147870	班会	65536	29677	3	{n=0}
-147871	标准电	85870	149778	1	null
-147872	好日	78579	22909	1	null
-147873	自相残害	65536	150646	3	{i=0}
-147874	自知之明	65536	147869	3	{i=0}
-147875	望而	101332	26395	1	null
-147876	自私自	126844	217329	1	null
-147877	自私自利	65536	147876	3	{i=0}
-147878	耕地	65536	32789	3	{n=32, v=5, vn=0}
-147879	学法	65536	23398	3	{n=0, v=1, vn=0}
-147880	情愫	65536	24773	3	{n=4}
-147881	左顾	86791	24038	1	null
-147882	桑白	94448	26705	1	null
-147883	夜鹰	65536	22812	3	{n=0}
-147884	绿豆蝇	65536	207080	3	{n=0}
-147885	自立军	65536	217595	3	{n=0}
-147886	生意经	65536	193320	3	{n=1}
-147887	自给有	127575	218633	1	null
-147888	自给有余	65536	147887	3	{l=1}
-147889	肛管	65536	32923	3	{n=0}
-147890	淮阳	65536	28142	3	{ns=0}
-147891	淮阴	106362	28142	2	{ns=3}
-147892	自给自足	65536	154768	3	{i=0}
-147893	自相惊	122656	216616	1	null
-147894	经纬度	65536	202920	3	{n=0}
-147895	自耕农	65536	218949	3	{n=0}
-147896	罢免	118458	32610	2	{v=0, vn=0}
-147897	治保	65536	27835	3	{j=0}
-147898	磷火	65536	30967	3	{n=0}
-147899	自花传	116020	219617	1	null
-147900	情愿	65536	24773	3	{v=0}
-147901	自花传粉	65536	147899	3	{l=0}
-147902	强健	65536	24378	3	{a=1, v=0}
-147903	磷灰	109106	30967	1	null
-147904	畸胎	65536	30072	3	{n=0}
-147905	自行其	121753	221052	1	null
-147906	拜金	96088	25308	1	null
-147907	封顶	65536	23553	3	{v=0, vn=7}
-147908	烘炉	65536	28888	3	{n=0}
-147909	盖州	113724	30422	2	{ns=0}
-147910	混浊	65536	28151	3	{a=0, an=0}
-147911	回采	65536	22238	3	{v=0}
-147912	自行其是	65536	147905	3	{i=0}
-147913	景致	65536	26223	3	{n=5}
-147914	自行火炮	65536	155830	3	{l=0}
-147915	沿阶	95012	27839	1	null
-147916	自觉性	65536	221433	3	{n=23}
-147917	自觉自愿	65536	156559	3	{l=1}
-147918	广州	85530	24191	2	{ns=139}
-147919	自言自	112102	221488	1	null
-147920	索尼	65536	32034	3	{nz=4}
-147921	绥化	120133	32485	2	{ns=0}
-147922	绥北	65536	32485	3	{ns=2}
-147923	自言自语	65536	147919	3	{i=3}
-147924	自讨没	111673	221912	1	null
-147925	挂图	65536	25346	3	{n=3}
-147926	种族歧	105190	178053	1	null
-147927	缸子	65536	32568	3	{n=0}
-147928	挑起	65536	25361	3	{v=8}
-147929	未老	102181	26410	1	null
-147930	羚羊角	65536	148492	3	{n=0}
-147931	桑皮	92392	26705	1	null
-147932	自讨没趣	65536	147924	3	{i=0}
-147933	筒状	108492	31570	1	null
-147934	市编	85668	24066	1	null
-147935	演奏	111495	28436	2	{v=29, vn=6}
-147936	老人斑	65536	205595	3	{n=0}
-147937	自讨苦吃	65536	153625	3	{i=1}
-147938	自诉人	65536	221945	3	{n=2}
-147939	渗透	109538	28183	2	{v=11, vn=3}
-147940	自谋生	111609	222011	1	null
-147941	演出队	65536	146058	3	{n=6}
-147942	用电量	65536	191812	3	{n=2}
-147943	篡改	65536	31713	3	{v=2, vn=0}
-147944	自谋生路	65536	147940	3	{l=2}
-147945	弹词	65536	24377	3	{n=0}
-147946	自豪感	65536	222106	3	{n=7}
-147947	自负盈	127837	222287	1	null
-147948	自负盈亏	65536	147947	3	{l=3}
-147949	自贡市	65536	222289	3	{ns=0}
-147950	美术品	65536	197359	3	{n=0}
-147951	自费生	65536	222313	3	{n=0}
-147952	自选商场	65536	147954	3	{n=3}
-147953	自选市场	65536	150190	3	{l=0}
-147954	自选商	125622	223033	1	null
-147955	自销权	65536	224304	3	{n=0}
-147956	自顶向	127979	225190	1	null
-147957	德育	75820	24503	2	{n=2}
-147958	自顶向下	65536	147956	3	{l=0}
-147959	自顾不	121713	225198	1	null
-147960	自顾不暇	65536	147959	3	{i=0}
-147961	枪战	65536	26538	3	{n=0}
-147962	后金	65536	21518	3	{t=0}
-147963	自食其	126817	225295	1	null
-147964	自食其力	115192	147963	2	{i=1}
-147965	自食其力者	65536	147964	3	{n=1}
-147966	礁石	65536	30977	3	{n=1}
-147967	盖帘	65536	30422	3	{n=2}
-147968	自首书	65536	225478	3	{n=0}
-147969	自高自	125149	225800	1	null
-147970	归罪	65536	24402	3	{v=0}
-147971	竞技	121211	31454	2	{n=17, v=0, vn=1}
-147972	自高自大	65536	147969	3	{i=0}
-147973	格尔	98228	26684	1	null
-147974	自鸣得	123128	226643	1	null
-147975	自鸣得意	65536	147974	3	{i=0}
-147976	臭不可	109586	150118	1	null
-147977	国航	65536	22269	3	{j=8}
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-147979	短斤缺	118977	192064	1	null
-147980	换型	65536	25442	3	{v=1}
-147981	臭不可闻	65536	147976	3	{i=0}
-147982	臭乎乎	65536	150183	3	{z=0}
-147983	潮州	107893	28526	2	{ns=5}
-147984	学派	65536	23398	3	{n=4}
-147985	臭名昭	123554	151654	1	null
-147986	臭名昭彰	65536	147985	3	{l=0}
-147987	声频	65536	22768	3	{n=0}
-147988	臭名远扬	65536	158656	3	{i=0}
-147989	浇铸	101788	27975	2	{v=0}
-147990	抢运	65536	25250	3	{v=3}
-147991	联络官	65536	208459	3	{n=0}
-147992	竞投	121360	31454	1	null
-147993	名记	65826	21517	1	null
-147994	臭味相	122758	151756	1	null
-147995	臭味相投	65536	147994	3	{i=0}
-147996	联合党	65536	197495	3	{n=1}
-147997	臭架子	65536	156687	3	{n=0}
-147998	膀子	65536	33152	3	{n=2}
-147999	烘烤	65536	28888	3	{v=2}
-148000	臭氧层	65536	157824	3	{n=6}
-148001	安哥	79584	23433	1	null
-148002	臭烘烘	65536	159025	3	{z=0}
-148003	白条鸭	65536	199759	3	{n=1}
-148004	臭熏熏	65536	159208	3	{z=0}
-148005	子金	65536	23376	3	{n=0}
-148006	臭皮囊	65536	160519	3	{n=0}
-148007	港商	65536	28207	3	{j=0, n=4}
-148008	臭老九	65536	162906	3	{n=0}
-148009	臭豆腐	65536	166047	3	{n=0}
-148010	好景	81976	22909	1	null
-148011	至亲好	126562	164981	1	null
-148012	枪手	65536	26538	3	{n=5}
-148013	至亲好友	65536	148011	3	{i=0}
-148014	联合公	120823	197495	1	null
-148015	至关紧要	65536	148018	3	{l=2}
-148016	羽冠	65536	32701	3	{n=0}
-148017	格局	65536	26684	3	{n=94}
-148018	至关紧	112814	165686	1	null
-148019	电视片	65536	204299	3	{n=12}
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-148021	至尊至	111878	168397	1	null
-148022	名词	70841	21517	2	{n=5}
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-148024	救治	65536	25937	3	{v=4, vn=8}
-148025	枪托	65536	26538	3	{n=0}
-148026	老头子	65536	208277	3	{n=0}
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-148028	至情至	123414	169608	1	null
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-148030	至死不	124419	172350	1	null
-148031	得票	85406	24471	1	null
-148032	名诗	65536	21517	3	{n=2}
-148033	白兰花	65536	194142	3	{n=0}
-148034	混淆	110626	28151	2	{v=2, vn=1}
-148035	招手	65536	25307	3	{v=2}
-148036	易行	65536	26131	3	{a=0}
-148037	密闭	65536	23494	3	{v=1, vd=0, vn=0}
-148038	罐头	114328	32592	2	{n=5}
-148039	景色	65536	26223	3	{n=10}
-148040	至理名	112718	174537	1	null
-148041	学海	77500	23398	1	null
-148042	老婆子	65536	208551	3	{n=0}
-148043	至死不屈	65536	148030	3	{i=0}
-148044	秘史	65536	31192	3	{n=0}
-148045	祭坛	65536	31085	3	{n=1}
-148046	至理名言	65536	148040	3	{i=2}
-148047	至理明言	65536	152649	3	{i=0}
-148048	至高无	128075	184475	1	null
-148049	国色	73619	22269	2	{n=0}
-148050	秤纽	65536	31204	3	{n=0}
-148051	外毒	67166	22806	1	null
-148052	烘焙	65536	28888	3	{v=0}
-148053	至高无上	65536	148048	3	{i=3}
-148054	杜鹃	90057	26460	2	{n=2}
-148055	土蚕	65536	22303	3	{n=0}
-148056	致冷器	65536	160126	3	{n=0}
-148057	数叨	65536	25968	3	{v=0}
-148058	矢石	65536	30690	3	{n=0}
-148059	应税	71071	24212	1	null
-148060	致命伤	65536	160836	3	{n=2}
-148061	致富梦	65536	162707	3	{n=0}
-148062	脚踏式	65536	207653	3	{b=0}
-148063	致病菌	65536	169356	3	{n=1}
-148064	整地	65536	25972	3	{v=0, vn=1}
-148065	致癌物	65536	169491	3	{n=1}
-148066	致谢辞	65536	175081	3	{n=0}
-148067	臼齿	65536	33276	3	{n=0}
-148068	舀子	65536	33280	3	{n=0}
-148069	房檐	65536	25151	3	{n=0}
-148070	根本	100000	26681	2	{a=143, an=0, d=31, n=53, nr=0}
-148071	舆情	65536	33286	3	{n=0}
-148072	舆论界	65536	159068	3	{n=13}
-148073	舌下神经	65536	148075	3	{l=0}
-148074	舌剑唇	121539	158053	1	null
-148075	舌下神	115610	156959	1	null
-148076	如获	68816	22914	1	null
-148077	舌剑唇枪	65536	148074	3	{i=0}
-148078	老人星	65536	205595	3	{n=0}
-148079	舌咽神	115617	158673	1	null
-148080	舌咽神经	65536	148079	3	{l=0}
-148081	舌尖音	65536	160554	3	{n=0}
-148082	景芝	65536	26223	3	{nz=1}
-148083	混混	102832	28151	1	null
-148084	舌敝唇	119119	162929	1	null
-148085	舌敝唇焦	65536	148084	3	{i=0}
-148086	答应	65536	31572	3	{v=12}
-148087	知识界	65536	178036	3	{n=1}
-148088	舌根音	65536	163661	3	{n=0}
-148089	舌状花	65536	166346	3	{n=0}
-148090	而后	65536	32780	3	{c=1, d=5, f=0}
-148091	对局	65536	23545	3	{n=0, v=0, vn=0}
-148092	舌面前音	65536	148099	3	{l=0}
-148093	异端	73315	24322	2	{n=0}
-148094	舌面后音	65536	148548	3	{l=0}
-148095	舍不得	65536	175585	3	{v=9}
-148096	探子	65536	25506	3	{n=0}
-148097	舍己为人	65536	148098	3	{i=0}
-148098	舍己为	127943	179653	1	null
-148099	舌面前	109193	175734	1	null
-148100	舍己救人	65536	154009	3	{i=4}
-148101	滑坡	111093	28369	2	{v=18, vn=3}
-148102	舍已为	127259	179654	1	null
-148103	舍已为公	65536	148102	3	{i=0}
-148104	舍恶行	126213	180298	1	null
-148105	舍恶行善	65536	148104	3	{l=0}
-148106	舍我其	112267	180709	1	null
-148107	头角	77259	22836	2	{n=0}
-148108	舍我其谁	65536	148106	3	{i=0}
-148109	招投	89419	25307	1	null
-148110	腊味	65536	33098	3	{n=0}
-148111	舍本求	121702	182016	1	null
-148112	国花	65536	22269	3	{n=0}
-148113	舍本求末	65536	148111	3	{i=1}
-148114	招抚	65536	25307	3	{v=0}
-148115	舍本逐末	65536	157277	3	{i=2}
-148116	舍死忘	118134	183119	1	null
-148117	舍死忘生	65536	148116	3	{i=0}
-148118	广度	65536	24191	3	{n=8}
-148119	舍生取义	65536	148120	3	{i=0}
-148120	舍生取	128078	185587	1	null
-148121	抢道	65536	25250	3	{v=1}
-148122	舍生忘死	65536	151194	3	{i=3}
-148123	舍身为	125860	192127	1	null
-148124	多次	65536	22810	3	{a=0, ad=0, d=2, m=95}
-148125	练习曲	65536	154456	3	{n=0}
-148126	碑帖	65536	30865	3	{n=1}
-148127	狗不	104444	29399	1	null
-148128	摆脱	65536	25670	3	{v=65}
-148129	舍身为国	65536	148123	3	{i=0}
-148130	强光	65536	24378	3	{n=0}
-148131	舅妈	65536	33285	3	{n=0}
-148132	潮平	111957	28526	1	null
-148133	舍身取义	65536	149559	3	{i=0}
-148134	舍车保	124066	192314	1	null
-148135	舍车保帅	65536	148134	3	{i=0}
-148136	滞销	109787	28382	2	{v=1, vn=2}
-148137	舍近求	111311	192421	1	null
-148138	根杰	65536	26681	3	{ns=2}
-148139	舍近求远	65536	148137	3	{i=2}
-148140	爆裂	108693	29190	2	{v=2, vn=1}
-148141	巴扎	65536	24052	3	{n=1}
-148142	狗东	98948	29399	1	null
-148143	片山	65536	29255	3	{nr=0}
-148144	舒兹伯	127118	148848	1	null
-148145	穷奢极欲	65536	141062	3	{i=0}
-148146	复训	65536	22797	3	{j=0}
-148147	复议	65536	22797	3	{v=3, vn=1}
-148148	界线	65536	30028	3	{n=4}
-148149	外水	65536	22806	3	{n=0}
-148150	翘板	65536	32728	3	{n=0}
-148151	舒兹伯利	65536	148144	3	{n=0}
-148152	救活	65536	25937	3	{v=2, vn=0}
-148153	舒波乐	65536	155865	3	{nz=0}
-148154	圣餐	65536	22307	3	{n=1}
-148155	舒眉展	117633	158464	1	null
-148156	杀敌	65536	26432	3	{v=0}
-148157	舒眉展眼	65536	148155	3	{l=0}
-148158	舒舒服	121782	161289	1	null
-148159	改为	65536	25913	3	{v=1}
-148160	牡蛎	65536	29281	3	{n=0}
-148161	百思不解	65536	137332	3	{i=0}
-148162	极为	65536	26497	3	{d=48}
-148163	舒舒服服	65536	148158	3	{z=0}
-148164	土蜂	65536	22303	3	{n=0}
-148165	瑞签	65536	29790	3	{n=0}
-148166	生死线	65536	195988	3	{n=1}
-148167	老弱病	118019	209810	1	null
-148168	外汇	78152	22806	2	{n=121}
-148169	复评	65536	22797	3	{v=1}
-148170	老牛舐	116328	214716	1	null
-148171	救济	97892	25937	2	{n=12, v=8, vn=11}
-148172	舒适度	65536	164857	3	{n=2}
-148173	篆文	65536	31686	3	{n=0}
-148174	舛误	65536	33307	3	{n=0}
-148175	复诊	65536	22797	3	{v=0}
-148176	淡出	65536	28129	3	{v=1}
-148177	老爷子	65536	214680	3	{n=1}
-148178	舞剧团	65536	182620	3	{n=2}
-148179	电动船	65536	190189	3	{n=0}
-148180	舞台剧	65536	183013	3	{n=1}
-148181	未能	102190	26410	2	{d=3, v=53}
-148182	好望	66684	22909	1	null
-148183	练习本	65536	154456	3	{n=0}
-148184	极乐	103903	26497	1	null
-148185	舞文弄	125491	187516	1	null
-148186	复试	65536	22797	3	{v=0, vn=0}
-148187	舞文弄墨	65536	148185	3	{i=0}
-148188	百日维	111347	187838	1	null
-148189	游击队	65536	173587	3	{n=13}
-148190	师长	65536	24072	3	{n=3}
-148191	多此	79506	22810	1	null
-148192	外江	65536	22806	3	{n=0}
-148193	舞狮队	65536	190947	3	{n=2}
-148194	秋冬种	65536	170421	3	{v=1}
-148195	急如	86416	24613	1	null
-148196	抗压	90931	25239	1	null
-148197	舞美师	65536	194179	3	{n=1}
-148198	探家	65536	25506	3	{v=1}
-148199	舞钢市	65536	199575	3	{ns=1}
-148200	灌肠	65536	28748	3	{v=0, vn=0}
-148201	矿物纤	106635	191214	1	null
-148202	同音	70277	21516	2	{v=0}
-148203	舞龙灯	65536	202382	3	{l=0}
-148204	舞蹈家	65536	197949	3	{n=3}
-148205	朱顶	65536	26417	3	{n=0}
-148206	扬起	65536	25196	3	{v=2}
-148207	舟车之	114699	161258	1	null
-148208	广开	84417	24191	2	{v=3}
-148209	舟车之苦	65536	148207	3	{l=0}
-148210	舟车劳顿	65536	149335	3	{l=0}
-148211	对岸	65536	23545	3	{s=0}
-148212	强军	65536	24378	3	{v=0}
-148213	舟山	65536	33311	3	{ns=1}
-148214	精神病	104112	204329	2	{n=4}
-148215	舢板	65536	33314	3	{n=0}
-148216	抗原	65536	25239	3	{n=0}
-148217	航天航空	128226	160258	1	null
-148218	溃退	65536	28291	3	{v=0}
-148219	肥田草	65536	194307	3	{n=0}
-148220	航天航空业	65536	148217	3	{n=1}
-148221	溃逃	65536	28291	3	{v=0}
-148222	沿革	65536	27839	3	{n=1, vn=0}
-148223	航天飞机	65536	166070	3	{n=10}
-148224	复读	65536	22797	3	{v=1}
-148225	航标灯	65536	169170	3	{n=1}
-148226	并轨	65536	24182	3	{v=8, vn=1}
-148227	复课	65536	22797	3	{v=0}
-148228	监测网	65536	163847	3	{n=1}
-148229	航空母舰	65536	161517	3	{n=8}
-148230	瓜子脸	65536	140464	3	{n=0}
-148231	航站楼	65536	173988	3	{n=0}
-148232	航海图	65536	170562	3	{n=0}
-148233	航行图	65536	177431	3	{n=0}
-148234	湿货	65536	28287	3	{n=0}
-148235	散步	65536	25955	3	{v=5, vn=0}
-148236	舵手	65536	33333	3	{n=0}
-148237	般涅	65536	33324	3	{nz=0}
-148238	极了	65536	26497	3	{u=7, y=0}
-148239	探察	65536	25506	3	{v=0, vn=1}
-148240	天一	65975	22825	2	{j=0}
-148241	舶来	126549	33334	1	null
-148242	情投	88457	24773	1	null
-148243	房款	65536	25151	3	{n=1}
-148244	对峙	65536	23545	3	{v=7, vn=5}
-148245	普图	95400	26222	1	null
-148246	舶来品	65536	148241	3	{n=0}
-148247	船夫曲	65536	199492	3	{n=0}
-148248	舷梯	65536	33335	3	{n=0}
-148249	土蝗	65536	22303	3	{n=0}
-148250	天上	65536	22825	3	{s=14}
-148251	天下	80383	22825	2	{f=0, n=21, nz=0}
-148252	船山乡	65536	200330	3	{ns=0}
-148253	天不	80088	22825	1	null
-148254	密集	83680	23494	2	{a=19, ad=1, an=0, vn=0}
-148255	船形帽	65536	201083	3	{n=0}
-148256	好来	78517	22909	1	null
-148257	舱位	65536	33329	3	{n=0}
-148258	情报	91762	24773	2	{n=9}
-148259	船级社	65536	209088	3	{n=6}
-148260	犀角	65536	29312	3	{n=0}
-148261	船老大	65536	209434	3	{n=1}
-148262	船舶业	65536	209999	3	{n=2}
-148263	废除	65536	24223	3	{v=7, vn=0}
-148264	巴拉	86811	24052	1	null
-148265	舾装	65536	33342	3	{n=0}
-148266	艄公	65536	33348	3	{n=0}
-148267	探寻	65536	25506	3	{v=4, vn=0}
-148268	良好率	65536	180459	3	{n=0}
-148269	良师益	126821	181622	1	null
-148270	脊檩	65536	33034	3	{n=0}
-148271	碑座	65536	30865	3	{n=0}
-148272	良师益友	65536	148269	3	{i=1}
-148273	良性瘤	65536	182165	3	{n=0}
-148274	良性肿瘤	65536	150988	3	{l=0}
-148275	良苦用	123761	191060	1	null
-148276	良苦用心	65536	148275	3	{l=2}
-148277	良药苦	126806	191197	1	null
-148278	治党	65536	27835	3	{v=0}
-148279	良种兔	65536	188731	3	{n=1}
-148280	常熟	84903	24120	2	{ns=0}
-148281	良药苦口	127250	148277	2	{i=0}
-148282	电话簿	65536	204834	3	{n=1}
-148283	良药苦口利	128175	148281	1	null
-148284	胆大妄	126596	172380	1	null
-148285	良药苦口利于	118137	148283	1	null
-148286	良药苦口利于病	65536	148285	3	{i=0}
-148287	物理诊	107740	163579	1	null
-148288	良莠不	107508	191246	1	null
-148289	突厥	65536	31361	3	{n=1}
-148290	癌肿	65536	30284	3	{n=0}
-148291	烽火连	110123	132941	1	null
-148292	良莠不齐	65536	148288	3	{i=2}
-148293	外泄	65536	22806	3	{v=1, vn=0}
-148294	良辰美	122077	194334	1	null
-148295	瓜秧	65536	29916	3	{n=0}
-148296	寒窗	65536	23506	3	{n=1}
-148297	斜长	88280	26012	1	null
-148298	搭配	65536	25645	3	{v=0, vd=0, vn=0}
-148299	天主	78446	22825	2	{n=0}
-148300	良辰美景	65536	148294	3	{i=1}
-148301	天丽	65536	22825	3	{nz=0}
-148302	国药	65536	22269	3	{n=0}
-148303	艰巨性	65536	151262	3	{n=8}
-148304	祥瑞	65536	31077	3	{a=0}
-148305	得空	65536	24471	3	{v=0}
-148306	碑廊	65536	30865	3	{n=1}
-148307	艰苦创业	65536	148415	3	{l=14}
-148308	强击	84338	24378	2	{v=0}
-148309	联系国	65536	207978	3	{n=3}
-148310	纤巧	65536	32420	3	{a=0}
-148311	浓墨	92446	27987	1	null
-148312	等差级	115870	184934	1	null
-148313	天义	68961	22825	1	null
-148314	社会主义者	65536	139853	3	{n=1}
-148315	天之	65586	22825	1	null
-148316	摆臭	90896	25670	1	null
-148317	炸裂	65536	28856	3	{v=0}
-148318	巴拿	68981	24052	1	null
-148319	等比级	115885	188492	1	null
-148320	胆小怕	126524	173124	1	null
-148321	航运业	65536	179355	3	{n=0}
-148322	美食家	65536	210079	3	{n=0}
-148323	艰苦卓绝	65536	148727	3	{i=3}
-148324	艰苦奋斗	65536	150255	3	{i=71}
-148325	艰苦朴素	65536	153816	3	{i=9}
-148326	竭泽	108803	31469	1	null
-148327	艰辛备	124747	163985	1	null
-148328	艰辛备尝	65536	148327	3	{l=1}
-148329	狗仗	113994	29399	1	null
-148330	艰难曲折	65536	148332	3	{l=0}
-148331	艰难竭蹶	65536	153447	3	{i=0}
-148332	艰难曲	123090	165812	1	null
-148333	突发	116698	31361	2	{v=2, vn=2}
-148334	艰难险阻	65536	160483	3	{i=4}
-148335	色厉内	114724	172225	1	null
-148336	泰山鸿	101440	144226	1	null
-148337	广征	88251	24191	1	null
-148338	祝酒词	65536	154797	3	{n=2}
-148339	色厉内荏	65536	148335	3	{i=0}
-148340	突变	105544	31361	2	{v=0, vn=0}
-148341	并进	65536	24182	3	{v=1}
-148342	天书	65536	22825	3	{n=0, nr=0}
-148343	治军	65536	27835	3	{v=2, vn=1}
-148344	级数	65536	32423	3	{n=0}
-148345	巨龙	65536	24040	3	{n=8, nz=1}
-148346	洪亮	65536	27946	3	{a=1, nr=0}
-148347	登记税	65536	167601	3	{n=0}
-148348	色庆乡	65536	175038	3	{ns=1}
-148349	色彩斑斓	65536	148364	3	{i=4}
-148350	色彩纷呈	65536	154802	3	{i=4}
-148351	色彩缤纷	65536	154911	3	{i=4}
-148352	改任	65536	25913	3	{v=1}
-148353	经典性	65536	191348	3	{n=1}
-148354	服务社	65536	133989	3	{n=1}
-148355	色情狂	65536	175613	3	{n=0}
-148356	神经元	65536	206548	3	{n=0}
-148357	脉脉含	122289	159471	1	null
-148358	色目人	65536	181286	3	{n=0}
-148359	玩世	114765	29609	1	null
-148360	暴举	65536	26292	3	{n=0}
-148361	色谱仪	65536	186729	3	{n=0}
-148362	膝关	114042	33181	1	null
-148363	色拉寺	65536	176129	3	{ns=0}
-148364	色彩斑	122346	175265	1	null
-148365	艳阳天	65536	167587	3	{n=0}
-148366	艺委会	65536	165063	3	{j=0}
-148367	强制	89619	24378	2	{d=0, v=9, vd=0, vn=14}
-148368	活动课	65536	173543	3	{n=2}
-148369	桂皮	98113	26690	2	{n=1}
-148370	电影节	65536	193462	3	{n=0, t=0}
-148371	弹起	65536	24377	3	{v=0}
-148372	注水	65536	27880	3	{v=0, vn=0}
-148373	艺无止	125715	168147	1	null
-148374	艺无止境	65536	148373	3	{l=0}
-148375	珠穆	108621	29664	1	null
-148376	艺术工作	115604	156048	1	null
-148377	艺术工作者	65536	148376	3	{n=6}
-148378	大一	67113	22823	1	null
-148379	籽棉	65536	31869	3	{n=0}
-148380	繁荣昌	112643	172824	1	null
-148381	艺研所	65536	172807	3	{j=2}
-148382	名贵	65536	21517	3	{a=5}
-148383	官瘾	65536	23448	3	{n=0}
-148384	艾利逊	65536	148462	3	{n=0}
-148385	应答	87706	24212	2	{v=1, vn=0}
-148386	大丈	76769	22823	1	null
-148387	艾基莱	110179	149951	1	null
-148388	粒状	65536	31890	3	{n=0}
-148389	天井	65536	22825	3	{n=0}
-148390	羽化	65536	32701	3	{v=0}
-148391	大不	79511	22823	1	null
-148392	絮棉	65536	32110	3	{n=0}
-148393	张集	65536	24352	3	{ns=0}
-148394	艾基莱镇	65536	148387	3	{ns=0}
-148395	艾尔斯	124733	151001	1	null
-148396	筹建	65536	31609	3	{v=8, vn=3}
-148397	大专	76222	22823	2	{n=13}
-148398	艾尔斯山	65536	148395	3	{n=0}
-148399	精神百	122125	204329	1	null
-148400	大世	69591	22823	1	null
-148401	艾滋病	120800	155792	2	{n=29}
-148402	艾滋病毒	65536	148401	3	{n=4}
-148403	盲干	65536	30450	3	{v=0}
-148404	大业	65536	22823	3	{n=39}
-148405	翠玉	65536	32736	3	{nr=1}
-148406	大东	78315	22823	1	null
-148407	艾菲尔	110327	161207	1	null
-148408	艾菲尔铁	125797	148407	1	null
-148409	艾菲尔铁塔	65536	148408	3	{n=2}
-148410	节假日	65536	194573	3	{t=23}
-148411	暴乱	65536	26292	3	{vn=0}
-148412	节制性	65536	195068	3	{n=0}
-148413	德艺	90207	24503	1	null
-148414	天亮	65536	22825	3	{nr=0, v=1, vn=0}
-148415	艰苦创	128313	160732	1	null
-148416	瘦煤	65536	30246	3	{n=0}
-148417	玩乐	65536	29609	3	{v=0, vn=0}
-148418	外流	65536	22806	3	{v=4, vn=2}
-148419	节地率	65536	196342	3	{n=1}
-148420	大个	78823	22823	2	{n=1}
-148421	节外生	121897	196828	1	null
-148422	节外生枝	65536	148421	3	{i=0}
-148423	大中	79695	22823	1	null
-148424	碱渣	65536	30897	3	{n=0}
-148425	节奏感	65536	196885	3	{n=1}
-148426	大丰	75569	22823	2	{nz=0}
-148427	节度使	65536	198252	3	{n=0}
-148428	节拍器	65536	199315	3	{n=0}
-148429	社科院	65536	162709	3	{j=14}
-148430	节油器	65536	201855	3	{n=0}
-148431	班克	108999	29677	1	null
-148432	节流阀	65536	201991	3	{n=0}
-148433	节目单	65536	204468	3	{n=0}
-148434	节肢动	119146	206952	1	null
-148435	节肢动物	65536	148434	3	{n=0}
-148436	大为	65536	22823	3	{d=14, nz=0}
-148437	大主	73692	22823	1	null
-148438	抗命	65536	25239	3	{v=0}
-148439	大丽	66189	22823	1	null
-148440	大举	65536	22823	3	{d=7}
-148441	碳化钙	65536	140999	3	{n=0}
-148442	散水	65536	25955	3	{n=0}
-148443	节育器	65536	206968	3	{n=3}
-148444	番茄	99156	30058	2	{n=1}
-148445	生机蓬	114413	194899	1	null
-148446	天从	80259	22825	1	null
-148447	大久	65536	22823	3	{nr=0}
-148448	建研	89852	24314	1	null
-148449	改作	65536	25913	3	{v=1}
-148450	腾出	65536	33150	3	{v=11}
-148451	大义	78693	22823	2	{n=13}
-148452	老三样	65536	205418	3	{l=1, nz=1}
-148453	绝缘性	65536	204146	3	{n=0}
-148454	滴管	65536	28404	3	{n=0}
-148455	节能剂	65536	207043	3	{n=0}
-148456	绸巾	65536	32504	3	{n=0}
-148457	天仙	65537	22825	2	{n=0}
-148458	节节胜利	65536	148463	3	{l=1}
-148459	巴掌	65536	24052	3	{n=1, q=0}
-148460	淡化	65536	28129	3	{v=8, vn=0}
-148461	绸布	65536	32504	3	{n=0}
-148462	艾利	111510	33406	1	null
-148463	节节胜	127425	207432	1	null
-148464	节节败退	65536	151608	3	{l=0}
-148465	篡权	65536	31713	3	{v=0}
-148466	好样	81172	22909	2	{a=0, n=1}
-148467	节衣缩	109335	208937	1	null
-148468	强力	65536	24378	3	{ad=0, n=2}
-148469	招揽	65536	25307	3	{v=3, vn=0}
-148470	节衣缩食	65536	148467	3	{i=0}
-148471	护罩	65536	25252	3	{n=0}
-148472	外海	65536	22806	3	{n=1}
-148473	强加	90657	24378	2	{v=1}
-148474	节资率	65536	210186	3	{n=2}
-148475	节骨眼	65536	213614	3	{n=3}
-148476	芍药	65536	33421	3	{n=2}
-148477	斜阳	65536	26012	3	{n=0}
-148478	芒刺在	115511	148557	1	null
-148479	维多利亚港	65536	144301	3	{ns=2}
-148480	大书	70347	22823	1	null
-148481	碳化铁	65536	140999	3	{n=0}
-148482	棉堆	65536	26825	3	{n=1}
-148483	芒刺在背	65536	148478	3	{i=0}
-148484	国营	65536	22269	3	{b=10}
-148485	才高	93756	25165	1	null
-148486	芙蓉	127520	33433	2	{n=5, ns=2}
-148487	天价	65536	22825	3	{n=1}
-148488	挂失	65536	25346	3	{v=0, vn=0}
-148489	异类	65536	24322	3	{n=0}
-148490	芋头	65536	33419	3	{n=0}
-148491	强劲	65536	24378	3	{a=22, ad=0, an=2}
-148492	羚羊	112648	32666	2	{n=2}
-148493	筒瓦	65536	31570	3	{n=0}
-148494	猛兽	65536	29467	3	{n=0}
-148495	弹跳	84252	24377	2	{v=1, vn=0}
-148496	绸带	65536	32504	3	{n=0}
-148497	织机	65536	32455	3	{n=0}
-148498	筋络	65536	31563	3	{n=1}
-148499	百无禁	112843	187833	1	null
-148500	芙蓉出水	65536	148506	3	{i=0}
-148501	纤度	65536	32420	3	{n=0}
-148502	圣马	75721	22307	1	null
-148503	炮仗	65536	28846	3	{n=3}
-148504	强势	65536	24378	3	{n=4}
-148505	示范园	65536	153264	3	{n=7}
-148506	芙蓉出	120800	148486	1	null
-148507	祭天	65536	31085	3	{v=0, vn=0}
-148508	狐疑	114150	29392	1	null
-148509	芜杂	65536	33436	3	{a=0}
-148510	芗剧	65536	33431	3	{n=0}
-148511	芝加哥	65536	148827	3	{ns=7}
-148512	摆花	90904	25670	1	null
-148513	烈士陵	110415	139264	1	null
-148514	芜湖县	65536	150321	3	{ns=0}
-148515	芝艾俱	119565	161081	1	null
-148516	芝罘区	65536	160275	3	{ns=2}
-148517	大事	75249	22823	2	{n=62}
-148518	大二	70042	22823	1	null
-148519	芝艾俱焚	65536	148515	3	{i=0}
-148520	大于	78163	22823	2	{a=0, v=10}
-148521	芟除	65536	33439	3	{v=0}
-148522	实测	65536	23454	3	{v=0, vn=1}
-148523	芝兰	65536	33437	3	{n=0}
-148524	芡粉	65536	33441	3	{n=0}
-148525	聚氯乙稀	65536	146200	3	{n=0}
-148526	大五	65630	22823	1	null
-148527	老大妈	65536	208264	3	{n=0}
-148528	航天员	65536	165364	3	{n=2}
-148529	芤脉	65536	33444	3	{n=0}
-148530	芥子气	65536	148614	3	{n=0}
-148531	芝麻官	65536	168310	3	{n=0}
-148532	大亚	71374	22823	1	null
-148533	浓妆	96383	27987	1	null
-148534	天伦	80372	22825	1	null
-148535	整备	65536	25972	3	{v=0}
-148536	狮身	114236	29422	1	null
-148537	安国	65536	23433	3	{ns=0}
-148538	芥菜干	65536	158994	3	{n=0}
-148539	现代舞	65536	173970	3	{n=0}
-148540	疑团	65536	30097	3	{n=1}
-148541	翅果	65536	32709	3	{n=0}
-148542	芥蓝菜	65536	159251	3	{n=0}
-148543	招摇	90296	25307	2	{ad=0}
-148544	学潮	65536	23398	3	{n=0}
-148545	芦城乡	65536	152528	3	{ns=0}
-148546	大亨	65536	22823	3	{n=0}
-148547	猛冲	65536	29467	3	{v=0}
-148548	舌面后	109195	175734	1	null
-148549	罪不	121423	32618	1	null
-148550	大京	79602	22823	1	null
-148551	根植	65536	26681	3	{v=1}
-148552	望花	101391	26395	1	null
-148553	芦山县	65536	153715	3	{ns=0}
-148554	芦沟桥	65536	157857	3	{n=0}
-148555	国葬	65536	22269	3	{n=0}
-148556	整夜	65536	25972	3	{d=1}
-148557	芒刺	126166	33426	1	null
-148558	芨芨	114950	33448	1	null
-148559	芨芨草	65536	148558	3	{n=0}
-148560	多法	74190	22810	1	null
-148561	生物系	65536	197762	3	{n=3}
-148562	祭奠	65536	31085	3	{v=1, vn=0}
-148563	芬兰共	126921	148577	1	null
-148564	大人	70375	22823	2	{n=25}
-148565	芬兰共和	126325	148563	1	null
-148566	甚者	65536	29978	3	{n=0, r=2}
-148567	绵亘	65536	32501	3	{v=0}
-148568	滑头	103033	28369	2	{a=0}
-148569	整天	98404	25972	2	{d=8}
-148570	电报费	65536	194282	3	{n=0}
-148571	安土	67550	23433	1	null
-148572	浊音	65536	27978	3	{n=0}
-148573	甚而	65536	29978	3	{d=0}
-148574	笑容满	102916	176436	1	null
-148575	碑志	65536	30865	3	{n=0}
-148576	复赛	65536	22797	3	{n=0, v=0, vn=0}
-148577	芬兰	127714	33452	2	{ns=8}
-148578	罐子	65536	32592	3	{n=0}
-148579	天体	65536	22825	3	{n=7}
-148580	芫花	65536	33451	3	{n=0}
-148581	浪费	65536	28010	3	{v=26, vn=10}
-148582	示范场	65536	153264	3	{n=3}
-148583	艰危	65536	33392	3	{a=0}
-148584	玄狐	65536	29572	3	{n=0}
-148585	安圭	79594	23433	1	null
-148586	挑选	65536	25361	3	{v=21, vn=2}
-148587	舅子	65536	33285	3	{n=0}
-148588	天作	80380	22825	1	null
-148589	症结	65536	30151	3	{n=5}
-148590	统一性	65536	160982	3	{n=4}
-148591	强化	65536	24378	3	{v=89, vd=1, vn=6}
-148592	紫金牛	65536	202224	3	{n=0}
-148593	抽打	65536	25277	3	{v=0}
-148594	芬兰共和国	65536	148565	3	{ns=0}
-148595	芭蕉	123439	33453	2	{n=0}
-148596	经销权	65536	208636	3	{n=0}
-148597	桃酥	65536	26691	3	{n=0}
-148598	芭蕉扇	65536	148595	3	{n=0}
-148599	老大姐	65536	208264	3	{n=4}
-148600	挑逗	91857	25361	2	{v=0, vn=0}
-148601	芭蕾舞	127507	148648	2	{n=3}
-148602	芭蕾舞剧	65536	148601	3	{n=2}
-148603	漫笔	65536	28459	3	{n=0}
-148604	芮城	127169	33454	1	null
-148605	绝对性	65536	195155	3	{n=0}
-148606	置备	65536	32622	3	{v=0}
-148607	治劣	65536	27835	3	{v=0}
-148608	芮城县	65536	148604	3	{ns=0}
-148609	芯子	65536	33455	3	{n=0}
-148610	花前月	128633	207831	1	null
-148611	湖东	111075	28246	2	{ns=0}
-148612	花前月下	65536	148610	3	{i=0}
-148613	聚集地	65536	205631	3	{n=1}
-148614	芥子	120862	33445	2	{n=0}
-148615	整套	65536	25972	3	{b=1}
-148616	步行	99768	27493	2	{v=8, vn=0}
-148617	花卉画	65536	208083	3	{n=0}
-148618	牌技	65536	29260	3	{n=0}
-148619	湘菜	65536	28248	3	{n=0}
-148620	猛击	65536	29467	3	{v=1}
-148621	炮位	65536	28846	3	{n=0}
-148622	相依相	117378	192149	1	null
-148623	天使	79384	22825	2	{n=3}
-148624	大件	65536	22823	3	{n=3}
-148625	研讨班	65536	155009	3	{n=7}
-148626	硝盐	65536	30813	3	{n=0}
-148627	碘片	65536	30872	3	{n=0}
-148628	花名册	65536	208279	3	{n=0}
-148629	大任	65536	22823	3	{n=0}
-148630	花团锦	116880	209004	1	null
-148631	花团锦簇	65536	148630	3	{i=8}
-148632	聊城	121945	32842	2	{ns=0}
-148633	电信网	65536	189478	3	{n=1}
-148634	花土沟	65536	209065	3	{ns=0}
-148635	班列	65536	29677	3	{n=1}
-148636	肩周	117682	32937	1	null
-148637	花园口	65536	209015	3	{ns=0}
-148638	花墟街	65536	209449	3	{ns=0}
-148639	花多映	123801	209572	1	null
-148640	纤弱	65536	32420	3	{a=0}
-148641	花多映愈	128657	148639	1	null
-148642	花多映愈丑	65536	148641	3	{l=1, n=0}
-148643	花大姐	65536	209585	3	{n=0}
-148644	花天酒	126325	209587	1	null
-148645	花天酒地	65536	148644	3	{i=1}
-148646	花好月	126373	209671	1	null
-148647	盈盈	65536	30408	3	{z=3}
-148648	芭蕾	115291	33453	2	{n=10}
-148649	索引	65536	32034	3	{n=0}
-148650	杀机	65536	26432	3	{n=1}
-148651	花好月圆	65536	148646	3	{i=1}
-148652	花媳妇	65536	209981	3	{n=0}
-148653	花容月貌	65536	148663	3	{i=0}
-148654	碎石	65536	30862	3	{n=0}
-148655	港城	65536	28207	3	{n=1}
-148656	花容玉貌	65536	151864	3	{i=0}
-148657	大众	78405	22823	2	{n=35, nr=0, nz=10}
-148658	牵累	65536	29301	3	{v=0}
-148659	大伙	78867	22823	2	{n=1, r=4}
-148660	大会	79317	22823	2	{n=100}
-148661	花斑癣	65536	212763	3	{n=0}
-148662	花明柳暗	65536	148668	3	{i=0}
-148663	花容月	112673	210243	1	null
-148664	花岗岩	65536	210465	3	{n=1}
-148665	强占	65536	24378	3	{v=0}
-148666	花朝月	125870	213159	1	null
-148667	汗毛	65536	27735	3	{n=0}
-148668	花明柳	122399	212888	1	null
-148669	犯案	65536	29359	3	{v=1}
-148670	砸锅	118046	30776	1	null
-148671	老大娘	65536	208264	3	{n=5}
-148672	布票	65536	24067	3	{n=0}
-148673	护耳	93361	25252	2	{n=0}
-148674	归航	65536	24402	3	{v=1}
-148675	花朝月夕	65536	148666	3	{i=0}
-148676	签子	65536	31614	3	{n=0}
-148677	花果山	65536	213286	3	{n=1}
-148678	四面	75641	22235	2	{f=4}
-148679	花枝招	125047	213287	1	null
-148680	定日	83960	23450	2	{ns=0}
-148681	大伯	76291	22823	2	{n=0}
-148682	疫苗	65536	30123	3	{n=4}
-148683	签字	115583	31614	2	{v=13, vn=13}
-148684	花枝招展	65536	148679	3	{i=0}
-148685	自动化	65536	207320	3	{v=3, vd=0, vn=6}
-148686	花架子	65536	213312	3	{n=4}
-148687	对应	65536	23545	3	{v=5, vn=0}
-148688	笨活	65536	31528	3	{n=0}
-148689	碎砖	65536	30862	3	{n=0}
-148690	女犯	65536	22899	3	{n=0}
-148691	管制法	65536	189160	3	{n=2}
-148692	珍珠鸡	65536	152474	3	{n=0}
-148693	花柳病	65536	213373	3	{n=0}
-148694	花样刀	65536	213441	3	{n=0}
-148695	芥子油	65536	148614	3	{n=0}
-148696	花样游泳	65536	155918	3	{l=7}
-148697	定时	83287	23450	2	{b=0, d=0}
-148698	花样翻新	65536	160465	3	{l=3}
-148699	花棍舞	65536	213591	3	{n=0}
-148700	系数	65536	31995	3	{n=8}
-148701	花椰菜	65536	213690	3	{n=1}
-148702	簇簇	65536	31751	3	{q=2, z=0}
-148703	次数	65536	27425	3	{n=10}
-148704	花榈木	65536	213778	3	{n=0}
-148705	继承性	65536	154423	3	{n=2}
-148706	更年	95463	26356	1	null
-148707	申请者	65536	153037	3	{n=0}
-148708	强压	65536	24378	3	{vn=0}
-148709	楼房	65536	27004	3	{n=17}
-148710	年下	65536	24180	3	{t=0}
-148711	花池子	65536	214506	3	{n=0}
-148712	珠算	65536	29664	3	{n=0}
-148713	突破点	65536	157648	3	{n=2}
-148714	祝福	117229	31069	2	{v=15, vn=23}
-148715	熔融	65536	29076	3	{v=1, vn=0}
-148716	花灯戏	65536	215545	3	{n=0}
-148717	大体	79691	22823	2	{d=13, n=2}
-148718	肋木	65536	32907	3	{n=0}
-148719	花点子	65536	215619	3	{n=0}
-148720	撒酒	87550	25746	1	null
-148721	老油条	65536	213274	3	{l=0}
-148722	罪人	65536	32618	3	{n=0}
-148723	大余	78231	22823	2	{ns=0}
-148724	花瓣儿	65536	216685	3	{n=1}
-148725	大佛	71388	22823	2	{n=0}
-148726	大作	78359	22823	2	{n=1, v=1}
-148727	艰苦卓	115846	160732	1	null
-148728	拖锚	65536	25302	3	{v=2, vn=2}
-148729	良种化	65536	188731	3	{v=0}
-148730	臆断	65536	33222	3	{v=0}
-148731	花笺记	65536	218308	3	{n=0}
-148732	花粉囊	65536	218643	3	{n=0}
-148733	花繁叶	115196	219083	1	null
-148734	花繁叶茂	65536	148733	3	{l=0}
-148735	花红叶绿	65536	148737	3	{i=0}
-148736	格式	103373	26684	2	{n=1}
-148737	花红叶	116224	219180	1	null
-148738	花生仁	65536	216745	3	{n=0}
-148739	如虎	73933	22914	1	null
-148740	花红柳绿	65536	153854	3	{i=0}
-148741	回锅	65752	22238	2	{v=0}
-148742	地级	65536	22320	3	{b=2, n=0}
-148743	花纱布	65536	219195	3	{n=1}
-148744	年中	65536	24180	3	{f=0, t=7}
-148745	腮帮	123941	33134	1	null
-148746	权谋	65536	26435	3	{n=0}
-148747	花纸伞	65536	219202	3	{n=0}
-148748	花花世界	65536	148956	3	{i=0}
-148749	花花公子	65536	149810	3	{i=0}
-148750	签定	65536	31614	3	{v=3, vn=0}
-148751	稠油	65536	31264	3	{n=1}
-148752	枪支	65536	26538	3	{n=5}
-148753	花花哨哨	65536	150702	3	{z=1}
-148754	花花搭搭	65536	154611	3	{z=0}
-148755	发麻	65536	21457	3	{v=0}
-148756	汗水	65536	27735	3	{n=16}
-148757	盈眶	65536	30408	3	{v=1}
-148758	花花点子	65536	157823	3	{n=0}
-148759	花花绿绿	65536	161477	3	{z=3}
-148760	强县	65536	24378	3	{v=1}
-148761	大使	67260	22823	2	{n=122}
-148762	花花肠子	65536	161894	3	{l=0}
-148763	涂饰	65536	28034	3	{v=0}
-148764	发黄	65536	21457	3	{v=0}
-148765	服务站	65536	133989	3	{n=7}
-148766	地线	65536	22320	3	{n=0}
-148767	梅花	102117	26757	2	{n=6}
-148768	年久	86515	24180	1	null
-148769	电视电	100294	204299	1	null
-148770	纽扣	65536	32445	3	{n=2}
-148771	棉大	90148	26825	1	null
-148772	班加	102438	29677	1	null
-148773	花落花	124454	220615	1	null
-148774	花落花开	65536	148773	3	{l=1}
-148775	肋条	65536	32907	3	{n=0}
-148776	瓷杯	65536	29943	3	{n=1}
-148777	天候	65536	22825	3	{n=0}
-148778	花街柳	124724	221665	1	null
-148779	花街柳巷	65536	148778	3	{i=0}
-148780	斜面	65536	26012	3	{n=0}
-148781	纷扰	65536	32439	3	{v=0}
-148782	招收	65536	25307	3	{v=16, vn=0}
-148783	强取	74823	24378	1	null
-148784	芫荽	65536	33451	3	{n=0}
-148785	花言巧	112976	222090	1	null
-148786	护肤	93788	25252	1	null
-148787	舍己为公	65536	148098	3	{l=0}
-148788	涵闸	65536	28085	3	{n=0}
-148789	安培	69140	23433	2	{nr=4, q=0}
-148790	如蚁	65965	22914	1	null
-148791	护肩	65536	25252	3	{n=0}
-148792	瓷板	105387	29943	1	null
-148793	狐皮	65536	29392	3	{n=0}
-148794	大侠	65536	22823	3	{n=1}
-148795	对开	65536	23545	3	{n=0, v=0, vn=0}
-148796	研究班	65536	150607	3	{n=0}
-148797	花言巧语	65536	148785	3	{i=0}
-148798	花边新闻	65536	148799	3	{n=0}
-148799	花边新	110403	223555	1	null
-148800	普天	101398	26222	1	null
-148801	花都市	65536	223879	3	{ns=2}
-148802	笋瓜	65536	31499	3	{n=0}
-148803	对弈	65536	23545	3	{v=1, vn=0}
-148804	花里胡	127069	224086	1	null
-148805	花里胡哨	65536	148804	3	{z=0}
-148806	花露水	65536	225468	3	{n=0}
-148807	花青素	65536	225500	3	{n=0}
-148808	篮板	112547	31726	2	{n=1}
-148809	强台	71656	24378	1	null
-148810	情操	65536	24773	3	{n=15}
-148811	花面狸	65536	225516	3	{n=0}
-148812	治印	65536	27835	3	{v=1}
-148813	片式	65536	29255	3	{n=2}
-148814	斯里	98358	26031	1	null
-148815	臀尖	65536	33216	3	{n=0}
-148816	花香鸟	112997	226083	1	null
-148817	纵横捭	105029	173415	1	null
-148818	花香鸟语	65536	148816	3	{i=1}
-148819	棉套	65536	26825	3	{n=0}
-148820	次日	65536	27425	3	{t=9}
-148821	花骨朵	65536	226354	3	{n=0}
-148822	皱褶	65536	30385	3	{n=0}
-148823	好榜	75294	22909	1	null
-148824	炉膛	65536	28809	3	{n=0}
-148825	大便	65536	22823	3	{n=1, v=0}
-148826	芙蓉区	65536	148486	3	{ns=0}
-148827	芝加	126778	33437	1	null
-148828	花鸟画	125351	227241	2	{n=2}
-148829	花鸟画家	65536	148828	3	{n=1}
-148830	站位	65536	31449	3	{n=2}
-148831	花鼓戏	65536	227485	3	{n=6}
-148832	站住	108453	31449	2	{v=2}
-148833	芳草地	65536	160945	3	{n=1, ns=0}
-148834	芳香剂	65536	166657	3	{n=0}
-148835	芷江	65536	33463	3	{ns=0}
-148836	芸芸	128596	33464	2	{z=0}
-148837	地缆	65536	22320	3	{n=0}
-148838	年事	85305	24180	2	{n=2}
-148839	并重	65536	24182	3	{v=3, vd=0, vn=0}
-148840	招数	65536	25307	3	{n=1}
-148841	自治区	65536	213995	3	{n=230, ns=0}
-148842	外滩	65536	22806	3	{ns=1}
-148843	芸芸众	118862	148836	1	null
-148844	撒野	65536	25746	3	{v=0}
-148845	芸芸众生	65536	148843	3	{i=2}
-148846	芹菜	65536	33465	3	{n=2}
-148847	芽苗菜	65536	162100	3	{n=2}
-148848	舒兹	127873	33298	1	null
-148849	苇帘子	65536	152995	3	{n=0}
-148850	箱根	65536	31665	3	{ns=0}
-148851	翼展	65536	32764	3	{n=0}
-148852	特异质	65536	181573	3	{n=0}
-148853	芳名	65536	33459	3	{n=0}
-148854	苋菜	65536	33483	3	{n=1}
-148855	地缘	71231	22320	2	{b=0, n=5}
-148856	苍天不	112732	166384	1	null
-148857	市花	65536	24066	3	{n=1}
-148858	淘气鬼	65536	130393	3	{n=0}
-148859	苍天不负	115351	148856	1	null
-148860	格律	65536	26684	3	{n=0}
-148861	苍天不负苦	124347	148859	1	null
-148862	苍天不负苦心	128709	148861	1	null
-148863	苍天不负苦心人	65536	148862	3	{i=0}
-148864	滚开	65536	28378	3	{v=0}
-148865	苍山县	65536	167224	3	{ns=0}
-148866	年产	88833	24180	2	{j=0, v=22, vn=3}
-148867	苍岩山	65536	167280	3	{ns=7}
-148868	织梭	65536	32455	3	{n=1}
-148869	苍松翠	122296	170053	1	null
-148870	护胸	65536	25252	3	{n=0}
-148871	苍松翠柏	65536	148869	3	{l=0, n=0}
-148872	大修	65536	22823	3	{n=2, v=3, vn=9}
-148873	苍苍茫	115296	177044	1	null
-148874	纤维素	65536	156771	3	{n=3}
-148875	苍苍茫茫	65536	148873	3	{z=0}
-148876	苍蝇拍	65536	178190	3	{n=0}
-148877	秉烛	117578	31177	1	null
-148878	施行	65536	26045	3	{nr=1, v=17, vn=0}
-148879	苎麻	65536	33486	3	{n=0}
-148880	安塔	79606	23433	1	null
-148881	看人眉	107818	168315	1	null
-148882	急就	81106	24613	1	null
-148883	膀胱癌	65536	157631	3	{n=0}
-148884	更弦	95732	26356	1	null
-148885	登山队	65536	155506	3	{n=2}
-148886	苏三山	65536	188512	3	{nz=0}
-148887	煞费	108520	29022	1	null
-148888	缥缈	65536	32549	3	{a=0}
-148889	苏丹共	127248	188560	1	null
-148890	安塞	65536	23433	3	{ns=0}
-148891	多渠	65580	22810	1	null
-148892	苏丹共和	126624	148889	1	null
-148893	苏丹共和国	65536	148892	3	{ns=0}
-148894	苏伊士	65536	188769	3	{ns=3}
-148895	常理	65536	24120	3	{n=1}
-148896	苏哈托	65536	190239	3	{nr=24}
-148897	苏家屯	65536	192013	3	{ns=0}
-148898	苏尼特	124861	192147	1	null
-148899	苏尼特左	122829	148898	1	null
-148900	苏尼特左旗	65536	148899	3	{ns=1}
-148901	苏州市	65536	192565	3	{ns=1}
-148902	苇丛	65536	33479	3	{n=0}
-148903	炒米	65536	28818	3	{n=0}
-148904	竞春	65536	31454	3	{v=2}
-148905	苏打粉	65536	193706	3	{n=0}
-148906	科教片	65536	189243	3	{n=1}
-148907	苏格兰	65536	195219	3	{ns=4}
-148908	登记簿	65536	167601	3	{n=2}
-148909	探幽	65536	25506	3	{v=0}
-148910	女王	65536	22899	3	{n=3}
-148911	苏泊尔	65536	196385	3	{nz=0}
-148912	芽体	65536	33469	3	{n=0}
-148913	电视病	65536	204299	3	{n=0}
-148914	烂账	65536	28866	3	{n=0}
-148915	苏禄省	65536	199643	3	{ns=0}
-148916	苏维埃	65536	201035	3	{ns=1, nz=1}
-148917	硝石	65536	30813	3	{n=0}
-148918	老年学	65536	209621	3	{n=0}
-148919	苏里南	128072	205859	2	{ns=0}
-148920	模糊	105498	27169	2	{a=5, ad=0, an=0, v=1, vd=0, vn=0}
-148921	苏里南共	127281	148919	1	null
-148922	电话线	65536	204834	3	{n=2}
-148923	索性	65536	32034	3	{d=3}
-148924	敬语	65536	25964	3	{n=0}
-148925	苏里南共和	126661	148921	1	null
-148926	年代	89326	24180	2	{n=317}
-148927	筋肉	65536	31563	3	{n=0}
-148928	对待	65536	23545	3	{v=54, vn=1}
-148929	张飞	65536	24352	3	{nr=1}
-148930	苏里南共和国	65536	148925	3	{ns=0}
-148931	苏门答	115834	206911	1	null
-148932	苏门答腊	114551	148931	2	{ns=0}
-148933	苏门答腊虎	65536	148932	3	{n=1}
-148934	敬请	97698	25964	2	{v=0}
-148935	苏铁林	65536	206616	3	{n=0}
-148936	苏门达腊	125237	154157	1	null
-148937	情敌	65536	24773	3	{n=0}
-148938	失盗	65536	22833	3	{v=0}
-148939	电阻表	65536	207488	3	{n=0}
-148940	斗胆	65536	26007	3	{d=0}
-148941	苏黎世	65536	209189	3	{ns=4}
-148942	献礼	65536	29486	3	{n=0, v=7, vn=2}
-148943	名车	65536	21517	3	{n=1}
-148944	苏门达腊岛	65536	148936	3	{ns=2}
-148945	极光	65536	26497	3	{n=6}
-148946	对得	70220	23545	1	null
-148947	苑家	125286	33489	1	null
-148948	盆腔	108834	30406	2	{n=0}
-148949	苑家屯	65536	148947	3	{ns=0}
-148950	群众性	65536	180653	3	{n=35}
-148951	聊复	122442	32842	1	null
-148952	年份	65536	24180	3	{n=12}
-148953	苔原	65536	33492	3	{n=0}
-148954	投奔	65536	25237	3	{v=0}
-148955	苔藓植	119670	161805	1	null
-148956	花花世	118720	220219	1	null
-148957	瓜籽	65536	29916	3	{n=0}
-148958	耐热性	65536	165682	3	{n=0}
-148959	苔藓植物	65536	148955	3	{l=0}
-148960	神经原	65536	206548	3	{n=0}
-148961	微生	82232	24494	1	null
-148962	四顾	69869	22235	1	null
-148963	苕子	65536	33493	3	{n=0}
-148964	换季	65536	25442	3	{v=0}
-148965	苗家社	65536	161000	3	{ns=0}
-148966	苛捐杂	117723	153392	1	null
-148967	玩偶	65536	29609	3	{n=1}
-148968	救火	93095	25937	2	{v=2, vn=0}
-148969	苛捐杂税	65536	148966	3	{i=0}
-148970	苜蓿	115366	33500	2	{n=0}
-148971	苛性碱	65536	152583	3	{n=0}
-148972	监测船	65536	163847	3	{n=1}
-148973	肘子	65536	32920	3	{n=0}
-148974	自治县	124769	213995	2	{n=25}
-148975	苜蓿草	65536	148970	3	{n=1}
-148976	盗墓	65536	30423	3	{v=0, vn=0}
-148977	敬谢	98517	25964	1	null
-148978	苞米	65536	33502	3	{n=0}
-148979	聊天	65536	32842	3	{v=8, vn=0}
-148980	大做	73693	22823	1	null
-148981	年会	65536	24180	3	{n=24}
-148982	承租	94999	25215	2	{v=1, vd=0, vn=0}
-148983	微电	88150	24494	1	null
-148984	旅社	65536	26053	3	{n=5}
-148985	苟且偷	125553	150512	1	null
-148986	苟且偷安	65536	148985	3	{i=1}
-148987	救灾	90834	25937	2	{v=35, vn=129}
-148988	瓶装	65536	29942	3	{b=0}
-148989	精装本	65536	208272	3	{n=1}
-148990	极其	65536	26497	3	{d=26}
-148991	测评	65536	27979	3	{v=13, vn=0}
-148992	苟全性	127366	151364	1	null
-148993	肾囊	65536	32958	3	{n=0}
-148994	定期	65536	23450	3	{b=7, d=24, v=0}
-148995	苟全性命	65536	148992	3	{i=0}
-148996	情文	89126	24773	1	null
-148997	汗津	99915	27735	1	null
-148998	最轻	84659	26368	1	null
-148999	苟利国	125523	151557	1	null
-149000	犒赏	65536	29330	3	{v=0}
-149001	苟利国家	119019	148999	1	null
-149002	苟利国家生	121488	149001	1	null
-149003	苟利国家生死	128809	149002	1	null
-149004	胞妹	65536	32990	3	{n=0}
-149005	护腿	65536	25252	3	{n=0}
-149006	苟利国家生死以	65536	149003	3	{l=1, n=0}
-149007	巴新	65536	24052	3	{j=0}
-149008	测试	109478	27979	2	{v=8, vn=16}
-149009	后门	65536	21518	3	{n=3}
-149010	失真	65536	22833	3	{v=1, vn=1}
-149011	失眠	70846	22833	2	{v=0, vn=1}
-149012	畏缩	116285	30031	2	{v=0}
-149013	苟延残	127102	154834	1	null
-149014	苟延残喘	65536	149013	3	{i=0}
-149015	苤蓝	65536	33508	3	{n=0}
-149016	巴方	65536	24052	3	{n=34}
-149017	若即若	117857	151046	1	null
-149018	盖戳	65536	30422	3	{v=0}
-149019	苛刻	65536	33499	3	{a=7, an=0}
-149020	若即若离	65536	149017	3	{i=0}
-149021	引擎	80042	24341	2	{n=1}
-149022	改写	91484	25913	2	{v=1, vn=0}
-149023	若无其	128917	155763	1	null
-149024	若无其事	65536	149023	3	{i=0}
-149025	汗流	99887	27735	1	null
-149026	权责	65536	26435	3	{n=4}
-149027	肯塔	123996	32943	1	null
-149028	若明若	122766	155809	1	null
-149029	若明若暗	65536	149028	3	{i=0}
-149030	盖房	65536	30422	3	{v=1, vn=0}
-149031	若有所	126236	156060	1	null
-149032	极冠	65536	26497	3	{n=0}
-149033	经贸混	120883	206644	1	null
-149034	班厦	65536	29677	3	{j=0}
-149035	护膝	65536	25252	3	{n=0}
-149036	若要人	129058	164884	1	null
-149037	师风	65536	24072	3	{n=1}
-149038	抽搐	65536	25277	3	{v=0}
-149039	若要人不	118348	149036	1	null
-149040	名过	72984	21517	1	null
-149041	若要人不知	65536	149039	3	{l=1, n=0}
-149042	翩翩	121724	32745	2	{nr=3, z=1}
-149043	粤方	107152	31908	1	null
-149044	权贵	65536	26435	3	{n=1}
-149045	若隐若	119431	168227	1	null
-149046	疾苦	65536	30142	3	{n=19}
-149047	若隐若现	65536	149045	3	{i=1}
-149048	苦丁茶	65536	197936	3	{n=0}
-149049	苦不堪	113722	197948	1	null
-149050	苦不堪言	65536	149049	3	{i=1}
-149051	苦功夫	65536	199118	3	{n=0}
-149052	苦口婆	124538	199442	1	null
-149053	苦口婆心	65536	149052	3	{i=0}
-149054	苦口良药	65536	159333	3	{i=0}
-149055	筋脉	65536	31563	3	{n=0}
-149056	航天器	65536	165364	3	{n=1}
-149057	苦味酸	65536	199586	3	{n=0}
-149058	牵线	108164	29301	2	{v=0}
-149059	标价	95073	26631	2	{n=5, v=3, vn=2}
-149060	甚至	115356	29978	2	{c=62, d=151}
-149061	花明楼	65536	212888	3	{ns=1}
-149062	感生	83779	24863	1	null
-149063	苦大仇	120920	200790	1	null
-149064	约会	65536	32422	3	{n=0, v=0, vn=0}
-149065	苦大仇深	65536	149063	3	{i=0}
-149066	苦尽甘来	65536	149086	3	{i=0}
-149067	抽搭	65536	25277	3	{v=0}
-149068	电话网	65536	204834	3	{n=4}
-149069	若有所失	65536	149031	3	{i=0}
-149070	滥配	65536	28389	3	{v=0}
-149071	苦尽甜来	65536	149090	3	{i=0}
-149072	苦心孤	113268	202482	1	null
-149073	家政	82408	23478	2	{n=1}
-149074	安外	65536	23433	3	{j=0}
-149075	天元	75426	22825	2	{nz=7}
-149076	杨花	102234	26472	1	null
-149077	畏罪	65536	30031	3	{v=0}
-149078	安多	83457	23433	2	{ns=1}
-149079	苦心孤诣	65536	149072	3	{i=1}
-149080	汗浸	99839	27735	1	null
-149081	天光	65536	22825	3	{n=1}
-149082	格恩	96662	26684	1	null
-149083	后防	65797	21518	2	{n=0}
-149084	最近	65536	26368	3	{t=244}
-149085	苦心经营	65536	158139	3	{i=3}
-149086	苦尽甘	122597	201580	1	null
-149087	统一战	111701	160982	1	null
-149088	地老	74344	22320	1	null
-149089	白头翁	65536	196130	3	{n=0}
-149090	苦尽甜	122602	201580	1	null
-149091	安大	74847	23433	1	null
-149092	粗制滥	105505	186815	1	null
-149093	房源	65536	25151	3	{n=2}
-149094	安太	82341	23433	1	null
-149095	苦思冥	124277	202572	1	null
-149096	苦思冥想	65536	149095	3	{i=0}
-149097	苦肉计	65536	210872	3	{n=0}
-149098	工业	88055	24037	2	{n=346}
-149099	家教	65536	23478	3	{n=0, v=0, vn=0}
-149100	柔韧	99594	26580	2	{a=0, an=0}
-149101	复轨	65536	22797	3	{n=0}
-149102	研究生	109510	150607	2	{n=17}
-149103	弹道	87202	24377	2	{n=0}
-149104	苦英英	65536	211488	3	{z=0}
-149105	复转	65536	22797	3	{j=0, vn=1}
-149106	苦行僧	65536	212859	3	{n=1}
-149107	苦雨凄	109990	216599	1	null
-149108	苦雨凄风	65536	149107	3	{i=0}
-149109	浓密	65536	27987	3	{a=2}
-149110	苫布	65536	33515	3	{n=0}
-149111	脸皮嫩	65536	171756	3	{l=0}
-149112	舰只	65536	33328	3	{n=0}
-149113	苯乙烯	65536	149134	3	{n=0}
-149114	定林	81862	23450	1	null
-149115	苯甲酸	65536	159079	3	{n=0}
-149116	天公	65536	22825	3	{n=2}
-149117	英之杰	65536	192352	3	{nz=0}
-149118	英吉利	65536	193822	3	{ns=2}
-149119	燃气轮	106808	135563	1	null
-149120	英名盖	129132	193826	1	null
-149121	翰林	65536	32752	3	{n=0}
-149122	英名盖世	65536	149120	3	{i=0, l=1}
-149123	英国式	65536	194578	3	{b=3}
-149124	天兴	65643	22825	1	null
-149125	天兵	77719	22825	2	{n=0}
-149126	英姿勃勃	65536	149155	3	{l=1}
-149127	番薯	65536	30058	3	{n=0}
-149128	整存	65536	25972	3	{v=0}
-149129	英姿焕发	65536	156917	3	{i=0}
-149130	复辅	65557	22797	1	null
-149131	后院	65568	21518	2	{n=2}
-149132	畜肥	65536	30044	3	{n=0}
-149133	班吉	65536	29677	3	{ns=5}
-149134	苯乙	120202	33519	1	null
-149135	肤皮	117939	32932	1	null
-149136	突围	65536	31361	3	{v=3, vn=0}
-149137	移居	65536	31227	3	{v=6, vn=0}
-149138	汗液	65536	27735	3	{n=0}
-149139	暴光	65536	26292	3	{v=0}
-149140	英姿飒爽	65536	167090	3	{i=0}
-149141	英山县	65536	195974	3	{ns=0}
-149142	英年早	112253	196489	1	null
-149143	建立	65536	24314	3	{v=586, vn=25}
-149144	斜风	86535	26012	1	null
-149145	极刑	65536	26497	3	{n=0}
-149146	英年早逝	65536	149142	3	{i=0}
-149147	引敌	90283	24341	1	null
-149148	窄窄	65536	31364	3	{a=0}
-149149	绰有	123938	32496	1	null
-149150	改则	65536	25913	3	{ns=0}
-149151	生存链	65536	191857	3	{n=2}
-149152	英戈尔	123122	197405	1	null
-149153	缆车	107531	32518	2	{n=0}
-149154	至死不悟	65536	148030	3	{i=0}
-149155	英姿勃	127939	195348	1	null
-149156	复辟	65536	22797	3	{v=0, vn=0}
-149157	真理观	65536	196275	3	{n=0}
-149158	搭钩	65536	25645	3	{n=0}
-149159	筋腱	65536	31563	3	{n=0}
-149160	抗坏	80433	25239	1	null
-149161	改判	65536	25913	3	{v=3}
-149162	彩车	65536	24425	3	{n=0}
-149163	秕糠	65536	31189	3	{n=0}
-149164	建章	78669	24314	2	{j=1, nr=0}
-149165	艳丽	65536	33395	3	{a=1, an=0}
-149166	绑架	65536	32465	3	{v=2, vn=1}
-149167	英戈尔施	126557	149152	1	null
-149168	玩儿	114777	29609	2	{v=1}
-149169	英戈尔施塔	119865	149167	1	null
-149170	英戈尔施塔特	65536	149169	3	{ns=0}
-149171	硫磺	111617	30827	2	{n=0}
-149172	后隋	67526	21518	1	null
-149173	炮兵	108490	28846	2	{n=4}
-149174	英文版	65536	198300	3	{n=2}
-149175	英格兰	65536	198993	3	{ns=12}
-149176	护航	82159	25252	2	{v=1, vn=0}
-149177	安好	65536	23433	3	{a=0}
-149178	英特尔	65536	201614	3	{nz=1}
-149179	改制	65536	25913	3	{v=57, vn=33}
-149180	天冬	66947	22825	1	null
-149181	移山	120291	31227	1	null
-149182	安如	77017	23433	1	null
-149183	英语角	65536	208130	3	{n=0}
-149184	英雄主义	65536	149244	3	{n=3}
-149185	常用	85587	24120	2	{a=2}
-149186	晚点	65536	26202	3	{v=0}
-149187	彩轿	65536	24425	3	{n=0}
-149188	满城风	92881	171303	1	null
-149189	旅程	65536	26053	3	{n=3}
-149190	置之度	122126	145858	1	null
-149191	德薄	78640	24503	1	null
-149192	英雄好汉	65536	152126	3	{n=1}
-149193	英雄无用	121700	155297	1	null
-149194	英雄无用武	129159	149193	1	null
-149195	换届	96428	25442	2	{v=25, vd=0, vn=19}
-149196	突地	65536	31361	3	{d=0}
-149197	碾碎	65536	30910	3	{v=0}
-149198	灭迹	65536	28781	3	{v=0}
-149199	稚童	65536	31258	3	{n=0}
-149200	棋牌	65536	26827	3	{n=0}
-149201	散漫	65536	25955	3	{a=0}
-149202	英雄无用武之	126883	149194	1	null
-149203	英雄无用武之地	65536	149202	3	{i=0}
-149204	英雄豪杰	65536	165163	3	{n=0}
-149205	自留山	65536	216201	3	{n=0}
-149206	引文	65536	24341	3	{n=0}
-149207	苴麻	65536	33524	3	{n=0}
-149208	状语	65536	29366	3	{n=0}
-149209	大儿	76310	22823	1	null
-149210	苹果	126966	33529	2	{n=15}
-149211	工事	65536	24037	3	{n=0}
-149212	茁壮	65536	33537	3	{a=2, ad=3, an=0}
-149213	大元	75618	22823	1	null
-149214	暖锋	65536	26262	3	{n=0}
-149215	茂南区	65536	149294	3	{ns=0}
-149216	茂名市	65536	149476	3	{ns=0}
-149217	家族	81473	23478	2	{n=19}
-149218	范式化	65536	154632	3	{v=1, vn=1}
-149219	苹果园	65536	149210	3	{ns=0}
-149220	狡计	65536	29409	3	{n=0}
-149221	茄子	65536	33540	3	{n=3}
-149222	珍本	65536	29645	3	{n=2}
-149223	茅台酒	65536	154483	3	{n=0}
-149224	玩具	110552	29609	2	{n=11}
-149225	整容	92205	25972	2	{v=0, vn=0}
-149226	茅塞顿	124907	155617	1	null
-149227	茅塞顿开	65536	149226	3	{i=0}
-149228	情景	93184	24773	2	{n=44}
-149229	汗渍	65536	27735	3	{n=0}
-149230	茅盾文	125833	163457	1	null
-149231	茅盾文学	126362	149230	1	null
-149232	茅盾文学奖	65536	149231	3	{nz=7}
-149233	茉莉	115783	33545	2	{n=0}
-149234	家无	80525	23478	1	null
-149235	应约	65536	24212	3	{v=0}
-149236	工交	65536	24037	3	{j=3}
-149237	复述	65536	22797	3	{v=0, vn=0}
-149238	粪桶	65536	31914	3	{n=0}
-149239	茅草屋	65536	166604	3	{n=0}
-149240	茉莉花	115651	149233	2	{n=4}
-149241	茉莉花茶	65536	149240	3	{n=3}
-149242	茌平	127804	33548	1	null
-149243	茌平县	65536	149242	3	{ns=0}
-149244	英雄主	129143	210905	1	null
-149245	茨菰	65536	33576	3	{n=0}
-149246	茫无头	116763	149252	1	null
-149247	柔顺	65536	26580	3	{a=1, an=0}
-149248	茧丝	65536	33575	3	{n=0}
-149249	登山鞋	65536	155506	3	{n=0}
-149250	大全	65536	22823	3	{n=5}
-149251	继之	65536	32487	3	{v=0}
-149252	茫无	126410	33579	1	null
-149253	茫无头绪	65536	149246	3	{i=0}
-149254	大公	79666	22823	2	{n=1}
-149255	策源	119645	31574	1	null
-149256	组织关	111592	172048	1	null
-149257	敬贺	65536	25964	3	{v=0}
-149258	工人	87312	24037	2	{n=124}
-149259	狡诈	65536	29409	3	{a=1}
-149260	茫然不	113969	152154	1	null
-149261	大关	65536	22823	3	{n=14}
-149262	大兴	78405	22823	2	{ns=1, v=0}
-149263	大兵	77454	22823	2	{n=0}
-149264	枪术	65536	26538	3	{n=0}
-149265	涨风	65536	28072	3	{n=0}
-149266	大典	65536	22823	3	{n=0}
-149267	旁门	95656	26049	2	{n=0}
-149268	茫然不解	65536	149260	3	{l=0}
-149269	根毛	65536	26681	3	{n=0}
-149270	天分	65536	22825	3	{n=0}
-149271	茫然无措	65536	155359	3	{i=0}
-149272	换岗	65536	25442	3	{v=2, vn=2}
-149273	茫茫然	65536	156751	3	{z=1}
-149274	子集	65536	23376	3	{n=0}
-149275	茬口	65536	33580	3	{n=0}
-149276	碧桃	65536	30887	3	{n=0}
-149277	建筑	90119	24314	2	{a=0, n=78, v=4, vn=10}
-149278	窑洞	65536	31377	3	{n=4}
-149279	定格	65536	23450	3	{v=4, vn=1}
-149280	茭白	65536	33581	3	{n=0}
-149281	枪杀	65536	26538	3	{v=0, vn=3}
-149282	年假	65536	24180	3	{n=0}
-149283	极力	65536	26497	3	{d=8}
-149284	状态词	65536	137964	3	{n=0}
-149285	浪迹	107031	28010	1	null
-149286	挂屏	65536	25346	3	{n=0}
-149287	枪杆	65536	26538	3	{n=0}
-149288	茯苓	65536	33583	3	{n=0}
-149289	源目	106840	28304	1	null
-149290	聋哑学	119378	146033	1	null
-149291	定案	65536	23450	3	{n=0, v=0, vn=1}
-149292	统治权	65536	168849	3	{n=0}
-149293	改动	65536	25913	3	{v=1, vn=0}
-149294	茂南	127909	33538	1	null
-149295	敬赠	65536	25964	3	{v=0}
-149296	茱萸	65536	33585	3	{n=0}
-149297	盆花	65536	30406	3	{n=0}
-149298	茴香	121470	33588	2	{n=0}
-149299	大写	76320	22823	2	{n=0}
-149300	好歹	65536	22909	3	{d=0, n=0}
-149301	大军	65536	22823	3	{n=14}
-149302	大农	77372	22823	1	null
-149303	茴香油	65536	149298	3	{n=0}
-149304	绽放	65536	32509	3	{v=6, vn=0}
-149305	茵陈蒿	65536	154189	3	{n=0}
-149306	茵茵	65536	33589	3	{z=2}
-149307	炮击	65536	28846	3	{v=1, vn=1}
-149308	茶余酒	127791	198827	1	null
-149309	茶余酒后	65536	149308	3	{i=0}
-149310	茶文化	65536	204505	3	{n=0}
-149311	茶余饭后	65536	151383	3	{i=1}
-149312	祸不	118835	31096	1	null
-149313	熔解	104240	29076	2	{v=0}
-149314	女生	65536	22899	3	{n=2}
-149315	祝酒辞	65536	154797	3	{n=0}
-149316	茶壶嘴	65536	201288	3	{n=0}
-149317	茶毛虫	65536	206125	3	{n=0}
-149318	工件	65536	24037	3	{n=0}
-149319	工价	65536	24037	3	{n=0}
-149320	茶水站	65536	206214	3	{n=0}
-149321	茶汤壶	65536	206262	3	{n=0}
-149322	茶泡饭	65536	206387	3	{n=0}
-149323	茶色素	127947	211908	1	null
-149324	棉子	97233	26825	1	null
-149325	茶色素厂	65536	149323	3	{n=1}
-149326	茶花女	65536	211971	3	{n=0}
-149327	布篷	65536	24067	3	{n=1}
-149328	大冶	75639	22823	2	{ns=0}
-149329	茶褐色	65536	213602	3	{n=0}
-149330	茶话会	65536	214319	3	{n=53}
-149331	茶陵县	65536	217031	3	{ns=0}
-149332	拖靶	65536	25302	3	{n=0}
-149333	急巴	88511	24613	1	null
-149334	糊涂	122713	31946	2	{a=3, an=0}
-149335	舟车劳	109171	161258	1	null
-149336	绢扇	65536	32482	3	{n=0}
-149337	茶鸡蛋	65536	218995	3	{n=0}
-149338	茹毛饮	114463	149342	1	null
-149339	茸毛	65536	33592	3	{n=0}
-149340	茶叶末	65536	200008	3	{n=0}
-149341	招来	65536	25307	3	{v=0}
-149342	茹毛	110060	33593	1	null
-149343	茹毛饮血	65536	149338	3	{i=1}
-149344	茹苦含	112583	155241	1	null
-149345	工休	82057	24037	1	null
-149346	茹苦含辛	65536	149344	3	{i=0}
-149347	大凉	76046	22823	1	null
-149348	碘甘	111765	30872	1	null
-149349	美国式	65536	193213	3	{b=0}
-149350	大凌	71885	22823	1	null
-149351	荆州市	65536	150524	3	{ns=1}
-149352	地脉	65536	22320	3	{n=0}
-149353	拖鞋	65536	25302	3	{n=0}
-149354	工会	65536	24037	3	{n=47}
-149355	示波管	65536	147599	3	{n=0}
-149356	茼山	65536	33596	3	{ns=0}
-149357	建管	86492	24314	2	{vn=2}
-149358	荆棘载	112475	153334	1	null
-149359	荆棘载途	65536	149358	3	{i=0}
-149360	晚照	65536	26202	3	{n=0}
-149361	荆沙市	65536	154295	3	{ns=0}
-149362	荆门市	65536	164870	3	{ns=0}
-149363	暴利	65536	26292	3	{n=0}
-149364	工伤	65536	24037	3	{n=9, vn=0}
-149365	牵引车	65536	140952	3	{n=2}
-149366	炮制	65536	28846	3	{v=1, vn=0}
-149367	状貌	65536	29366	3	{n=0}
-149368	枪林	99731	26538	1	null
-149369	地脚	65540	22320	2	{n=0}
-149370	巴望	65536	24052	3	{v=2}
-149371	大凡	65536	22823	3	{d=1}
-149372	草台班	125997	202158	1	null
-149373	草台班子	65536	149372	3	{l=0}
-149374	草垫子	65536	203113	3	{n=0}
-149375	草头儿	65536	203506	3	{n=0}
-149376	草字头	65536	204053	3	{n=0}
-149377	版画	65536	29256	3	{n=3}
-149378	而外	65536	32780	3	{u=1}
-149379	草履虫	65536	204323	3	{n=0}
-149380	草帽缏	65536	204795	3	{n=0}
-149381	草库伦	65536	204881	3	{n=0}
-149382	情有	91832	24773	1	null
-149383	草木皆兵	65536	150995	3	{i=0}
-149384	标值	65536	26631	3	{n=1}
-149385	窥测	65536	31397	3	{v=1}
-149386	竞标	65536	31454	3	{j=0, v=2, vn=0}
-149387	后面	65536	21518	3	{f=17}
-149388	草本植	120101	207082	1	null
-149389	强嘴	65536	24378	3	{v=0}
-149390	草本植物	65536	149388	3	{l=1}
-149391	好比	65536	22909	3	{v=3}
-149392	汤杯	91832	27748	2	{j=0}
-149393	草甸子	65536	210678	3	{n=0}
-149394	草石蚕	65536	211377	3	{n=0}
-149395	瞧瞧	65536	30631	3	{v=2}
-149396	大出	65649	22823	1	null
-149397	草绿色	65536	213181	3	{n=0}
-149398	草船借	117738	214007	1	null
-149399	草船借箭	65536	149398	3	{l=0}
-149400	普宁	97897	26222	2	{ns=2}
-149401	草芙蓉	65536	214103	3	{n=0}
-149402	大刀	65848	22823	2	{n=1}
-149403	草茉莉	65536	214215	3	{n=0}
-149404	草草了事	65536	149441	3	{i=0}
-149405	工位	65536	24037	3	{n=1}
-149406	极化	65536	26497	3	{vn=1}
-149407	土话	65536	22303	3	{n=1}
-149408	大分	76339	22823	1	null
-149409	球面角	65536	192640	3	{n=0}
-149410	抢镜	92621	25250	1	null
-149411	工体	65536	24037	3	{j=3}
-149412	祸乱	65536	31096	3	{n=0}
-149413	罗斯福	65536	196338	3	{nr=0, ns=0}
-149414	航天城	65536	165364	3	{n=1}
-149415	稀稀落	106978	161640	1	null
-149416	歇顶	65536	27463	3	{v=0}
-149417	工余	65536	24037	3	{b=1, n=0}
-149418	草草收场	65536	155249	3	{l=0}
-149419	大刑	65536	22823	3	{n=0}
-149420	工作	99136	24037	2	{an=0, n=18, v=264, vn=2130}
-149421	相位角	65536	192069	3	{n=0}
-149422	招架	96078	25307	2	{v=1}
-149423	土语	65536	22303	3	{n=0}
-149424	湖光	107479	28246	1	null
-149425	外焰	65536	22806	3	{n=0}
-149426	烙铁	109873	28889	2	{n=0}
-149427	继任	65536	32487	3	{v=0, vn=0}
-149428	老实巴	125362	208895	1	null
-149429	抽斗	65536	25277	3	{n=5}
-149430	硅石	65536	30789	3	{n=0}
-149431	舱口	65536	33329	3	{n=1}
-149432	筋节	65536	31563	3	{n=0}
-149433	探悉	65536	25506	3	{v=0}
-149434	目不窥	115682	156302	1	null
-149435	名酒	65536	21517	3	{n=1}
-149436	草药店	65536	214317	3	{n=0}
-149437	草木灰	65536	207078	3	{n=0}
-149438	祸事	65536	31096	3	{n=0}
-149439	联合国	122646	197495	2	{nt=278}
-149440	航海家	65536	170562	3	{n=0}
-149441	草草了	129297	214279	1	null
-149442	草莽英	110847	214395	1	null
-149443	草莽英雄	65536	149442	3	{n=0}
-149444	煞车	65536	29022	3	{n=0, v=0}
-149445	大别	76058	22823	1	null
-149446	草菅人	127820	214403	1	null
-149447	山一	65536	23665	3	{nz=0}
-149448	涿鹿	108880	28095	2	{ns=1}
-149449	草菅人命	65536	149446	3	{i=0}
-149450	草蜻蛉	65536	215289	3	{n=0}
-149451	草豆蔻	65536	216580	3	{n=0}
-149452	经营户	65536	204321	3	{n=1}
-149453	相对真	108511	195313	1	null
-149454	草质茎	65536	216806	3	{n=0}
-149455	好气	65536	22909	3	{n=0}
-149456	草长莺	110325	218941	1	null
-149457	山上	65536	23665	3	{s=13}
-149458	山下	65536	23665	3	{nr=0, s=5}
-149459	草长莺飞	65536	149456	3	{i=0}
-149460	草黄色	65536	221314	3	{n=1}
-149461	老街旧	108670	220344	1	null
-149462	自寻短	112407	209707	1	null
-149463	荐举	65536	33616	3	{v=0}
-149464	攻防	65536	25915	3	{v=1, vn=1}
-149465	硅砖	65536	30789	3	{n=0}
-149466	电力部	65536	190176	3	{n=1, nt=6}
-149467	荒山坡	65536	181730	3	{n=0}
-149468	桂竹	65536	26690	3	{n=0}
-149469	荒山秃岭	65536	158269	3	{n=1}
-149470	缀文	65536	32512	3	{n=0}
-149471	山丘	65536	23665	3	{n=1}
-149472	翎毛	65536	32718	3	{n=0}
-149473	英雄传	65536	210905	3	{n=3}
-149474	牧业	65536	29287	3	{n=2}
-149475	山东	83159	23665	2	{ns=113}
-149476	茂名	125150	33538	2	{ns=3}
-149477	暴力	100448	26292	2	{n=24}
-149478	救物	65536	25937	3	{v=1}
-149479	大前	76984	22823	1	null
-149480	献策	65536	29486	3	{v=1}
-149481	荒山野岭	65536	164424	3	{l=1}
-149482	荒无人	120589	184145	1	null
-149483	羽坛	65536	32701	3	{n=0}
-149484	荒无人烟	65536	149482	3	{i=1}
-149485	荒时暴	123110	184167	1	null
-149486	荒时暴月	65536	149485	3	{l=0}
-149487	稳定率	65536	153434	3	{n=0}
-149488	定植	65536	23450	3	{v=0}
-149489	荒淫无	125265	186204	1	null
-149490	暴动	65536	26292	3	{v=0, vn=2}
-149491	回音	73430	22238	2	{n=5}
-149492	枪栓	65536	26538	3	{n=0}
-149493	根治	65536	26681	3	{v=1, vn=0}
-149494	巴林	86248	24052	2	{ns=28}
-149495	荒淫无度	65536	149489	3	{i=0}
-149496	荒漠化	65536	186513	3	{v=0}
-149497	多灾	76671	22810	1	null
-149498	荒碱地	65536	188962	3	{n=0}
-149499	地膜	65536	22320	3	{n=3}
-149500	荒诞不	117038	193871	1	null
-149501	荒诞不经	65536	149500	3	{i=0}
-149502	荒谬绝	129244	193949	1	null
-149503	招标	95820	25307	2	{v=34, vd=0, vn=22}
-149504	山丹	87696	23665	2	{n=0, nr=0}
-149505	祸从	118702	31096	1	null
-149506	荒谬绝伦	65536	149502	3	{i=0}
-149507	牧主	65536	29287	3	{n=0}
-149508	好汉	65536	22909	3	{n=3}
-149509	继位	65536	32487	3	{v=1}
-149510	第比	120758	31532	1	null
-149511	荔枝	65536	33620	3	{n=6}
-149512	土豆	69412	22303	2	{n=8}
-149513	大副	65536	22823	3	{n=0}
-149514	荚果	65536	33626	3	{n=0}
-149515	缠手	65536	32544	3	{a=0}
-149516	腕子	65536	33109	3	{n=0}
-149517	荞麦	119144	33630	2	{n=0}
-149518	荟萃	65536	33631	3	{v=8, vn=1}
-149519	棋王	65536	26827	3	{n=2}
-149520	荠菜	65536	33632	3	{n=0}
-149521	神学目	109715	197483	1	null
-149522	山之	86855	23665	1	null
-149523	荡人心	109776	150571	1	null
-149524	荡人心魄	65536	149523	3	{i=0, l=1}
-149525	禽畜	65536	31165	3	{n=1}
-149526	荞麦皮	65536	149517	3	{n=0}
-149527	疟蚊	65536	30111	3	{n=0}
-149528	测距	107550	27979	2	{v=0}
-149529	步话	99751	27493	1	null
-149530	荡检逾	111149	157233	1	null
-149531	标准箱	65536	149778	3	{n=3}
-149532	土豚	65536	22303	3	{n=0}
-149533	攻陷	65536	25915	3	{v=0}
-149534	胶南市	65536	169488	3	{ns=1}
-149535	荡检逾闲	65536	149530	3	{i=0}
-149536	荡气回	116610	158085	1	null
-149537	罐式	65536	32592	3	{b=1, n=1}
-149538	荡气回肠	65536	149536	3	{i=2}
-149539	牵肠	108471	29301	1	null
-149540	年光	65536	24180	3	{n=0}
-149541	滴翠	65536	28404	3	{v=2}
-149542	荡然无	126161	159399	1	null
-149543	泰然	106272	27888	2	{z=0}
-149544	山乡	65536	23665	3	{n=10}
-149545	荡然无存	65536	149542	3	{i=1, l=0}
-149546	荡秋千	65536	161596	3	{v=0}
-149547	普尔	65536	26222	3	{nz=1}
-149548	土豪	75525	22303	2	{n=0}
-149549	荡荡悠	124814	164050	1	null
-149550	荡荡悠悠	65536	149549	3	{z=0}
-149551	失礼	65536	22833	3	{v=0, vn=0}
-149552	荡魂摄	109806	170163	1	null
-149553	空心砖	65536	196693	3	{n=0}
-149554	荡魂摄魄	65536	149552	3	{i=1}
-149555	服软	65536	26381	3	{v=1}
-149556	惊涛	84797	24778	2	{n=0}
-149557	大力	76968	22823	2	{ad=0, b=0, d=214, n=0}
-149558	荣事达	65536	162175	3	{nz=1}
-149559	舍身取	128092	192127	1	null
-149560	大办	65536	22823	3	{v=4}
-149561	大功	78155	22823	1	null
-149562	大加	65536	22823	3	{d=2}
-149563	土豹	65536	22303	3	{n=0}
-149564	荣华富	113419	163394	1	null
-149565	淫雨	65536	28139	3	{n=0}
-149566	洛里	104021	27931	1	null
-149567	步调	106210	27493	2	{n=0}
-149568	荣华富贵	65536	149564	3	{i=1}
-149569	得罪	65536	24471	3	{v=3, vn=0}
-149570	大动	75556	22823	1	null
-149571	荣宗耀	118512	165515	1	null
-149572	步谈	99761	27493	1	null
-149573	投宿	65536	25237	3	{v=0}
-149574	荣宗耀祖	65536	149571	3	{i=0}
-149575	子音	65536	23376	3	{n=0}
-149576	荣宝斋	65536	165521	3	{nz=1}
-149577	荣归故	112256	166470	1	null
-149578	滋长	65536	28363	3	{v=4, vn=0}
-149579	胖嘟	124688	32982	1	null
-149580	荣归故里	65536	149577	3	{l=0}
-149581	荣成市	65536	167172	3	{ns=1}
-149582	年关	65536	24180	3	{t=10}
-149583	荣誉军人	65536	149618	3	{n=0}
-149584	应考	65536	24212	3	{v=0, vn=0}
-149585	失神	65536	22833	3	{v=0}
-149586	荣辱与	128738	178853	1	null
-149587	荣辱与共	65536	149586	3	{i=0}
-149588	移师	65536	31227	3	{v=1}
-149589	荨麻	119458	33640	1	null
-149590	强国	65536	24378	3	{n=7, nr=1, v=3, vn=1}
-149591	服输	65536	26381	3	{v=1}
-149592	荤油	65536	33636	3	{n=0}
-149593	大势	75765	22823	2	{n=4}
-149594	绵力	65536	32501	3	{n=0}
-149595	荨麻疹	65536	149589	3	{n=0}
-149596	筹措	65536	31609	3	{v=30, vn=2}
-149597	改变	65536	25913	3	{v=162, vn=15}
-149598	天华	65536	22825	3	{nz=0}
-149599	药到病	111101	199420	1	null
-149600	年内	65536	24180	3	{t=10}
-149601	药到病除	65536	149599	3	{i=0}
-149602	甩袖	112406	29993	1	null
-149603	家村	65536	23478	3	{ns=0}
-149604	种子田	65536	175366	3	{n=1}
-149605	显露	65536	26174	3	{v=8, vn=0}
-149606	换工	65536	25442	3	{vn=0}
-149607	天南	78255	22825	1	null
-149608	改口	65536	25913	3	{v=0}
-149609	荧光屏	65536	149614	3	{n=0}
-149610	药剂拌种	65536	152196	3	{l=0}
-149611	缉私队	65536	150497	3	{n=0}
-149612	荫凉	65536	33643	3	{a=1, an=1}
-149613	药学界	65536	201778	3	{n=0}
-149614	荧光	125978	33639	2	{n=1}
-149615	纽新	65536	32445	3	{nz=0}
-149616	药引子	65536	202721	3	{n=0}
-149617	药性气	65536	202995	3	{n=0}
-149618	荣誉军	129429	177533	1	null
-149619	药捻子	65536	203847	3	{n=0}
-149620	失禁	65536	22833	3	{v=0}
-149621	药材店	65536	204828	3	{n=0}
-149622	药物学	65536	207669	3	{n=0}
-149623	药理学	65536	208082	3	{n=0}
-149624	药用菌	65536	208372	3	{n=0}
-149625	约克	65536	32422	3	{ns=0, nz=1}
-149626	药罐子	65536	210972	3	{n=0}
-149627	极右	91136	26497	2	{b=1, j=0}
-149628	瘦瘠	65536	30246	3	{a=0}
-149629	荷兰王国	65536	149744	3	{ns=0}
-149630	回顾	72516	22238	2	{v=37, vn=5}
-149631	荷包蛋	65536	153099	3	{n=0}
-149632	抗大	65536	25239	3	{j=1, n=0}
-149633	荷尔蒙	65536	155418	3	{n=0}
-149634	牧人	65536	29287	3	{n=0}
-149635	港客	65536	28207	3	{n=0}
-149636	美术字	65536	197359	3	{n=0}
-149637	荷枪实	125267	158384	1	null
-149638	对手	65536	23545	3	{n=57}
-149639	绵羊肉	65536	161097	3	{n=1}
-149640	独立词	65536	194201	3	{n=0}
-149641	更戛	101802	26356	1	null
-149642	投射	85956	25237	2	{v=0}
-149643	异能	65536	24322	3	{n=0}
-149644	荷枪实弹	65536	149637	3	{i=2}
-149645	荷花坪	65536	165303	3	{ns=2}
-149646	对打	65536	23545	3	{v=0}
-149647	荷兰猪	65536	152694	3	{n=0}
-149648	急弯	65536	24613	3	{n=0}
-149649	枪械	65536	26538	3	{n=0}
-149650	改名	92457	25913	2	{v=4}
-149651	散热	96330	25955	2	{v=1, vn=0}
-149652	荸荠	65536	33656	3	{n=0}
-149653	狗吃	110522	29399	1	null
-149654	朱鸟	65536	26417	3	{n=0}
-149655	荻原	65536	33659	3	{nr=0}
-149656	荼毒	65536	33660	3	{v=0}
-149657	狡赖	65536	29409	3	{v=0}
-149658	莅临	65536	33669	3	{v=1}
-149659	巴格	71721	24052	1	null
-149660	暴卒	65536	26292	3	{v=0}
-149661	广播	89421	24191	2	{n=14, v=1, vn=107}
-149662	莆田	128225	33670	2	{ns=1}
-149663	大包	76915	22823	1	null
-149664	莆田县	65536	149662	3	{ns=2}
-149665	莎士	122064	33678	1	null
-149666	斜高	65536	26012	3	{n=0}
-149667	药剂士	65536	199438	3	{n=0}
-149668	莎士比	129548	149665	1	null
-149669	应聘	65536	24212	3	{v=2, vn=0}
-149670	莎士比亚	65536	149668	3	{nr=1}
-149671	后顾	73933	21518	1	null
-149672	莒南县	65536	149673	3	{ns=0}
-149673	莒南	128233	33682	1	null
-149674	女皇	65536	22899	3	{n=0}
-149675	组织化	65536	172048	3	{v=1, vn=3}
-149676	莘莘学	126302	161926	1	null
-149677	莘县	65536	33688	3	{ns=0}
-149678	莘莘学子	65536	149676	3	{n=0}
-149679	抢险	78748	25250	2	{n=4, v=20, vn=6}
-149680	大化	65536	22823	3	{ns=0}
-149681	大北	68365	22823	1	null
-149682	莜麦	65536	33692	3	{n=0}
-149683	玉泉路	65536	183563	3	{ns=1}
-149684	引来	65536	24341	3	{v=4}
-149685	莨菪	65536	33704	3	{n=0}
-149686	潜心	105917	28508	2	{d=10}
-149687	缫丝机	65536	144637	3	{n=0}
-149688	液肥	65536	28082	3	{n=0}
-149689	莫不是	65536	166320	3	{d=0}
-149690	格拉	98615	26684	1	null
-149691	莫利奈	124403	167372	1	null
-149692	莫利奈拉	111479	149691	1	null
-149693	安宁	80841	23433	2	{a=11, an=0, ns=0}
-149694	莫利奈拉镇	65536	149692	3	{ns=0}
-149695	莫力达	119772	167486	1	null
-149696	综合楼	65536	146010	3	{n=0}
-149697	标兵	65536	26631	3	{n=8}
-149698	莫力达瓦	65536	149695	3	{ns=0}
-149699	微码	65536	24494	3	{n=0}
-149700	安守	78498	23433	1	null
-149701	安安	74932	23433	1	null
-149702	缸房	65536	32568	3	{n=0}
-149703	莫可名状	65536	149706	3	{i=0}
-149704	莫可指数	65536	153540	3	{l=0}
-149705	罩棚	65536	32617	3	{n=0}
-149706	莫可名	120337	167826	1	null
-149707	莫名其	126774	167856	1	null
-149708	续借	65536	32493	3	{v=0}
-149709	子项	72858	23376	1	null
-149710	湖剧	65536	28246	3	{n=0}
-149711	莫名其妙	65536	149707	3	{i=2}
-149712	莫名无言	65536	154933	3	{l=1}
-149713	美术室	65536	197359	3	{n=1}
-149714	对抗	81823	23545	2	{v=11, vn=6}
-149715	对折	65536	23545	3	{vn=0}
-149716	大区	65536	22823	3	{n=0, s=2}
-149717	莫扎特	65536	171505	3	{nr=6}
-149718	安定	82679	23433	2	{a=16, an=2, v=3, vn=2}
-149719	脑瓜子	65536	195756	3	{n=0}
-149720	学理	65536	23398	3	{n=0}
-149721	治国	105118	27835	2	{nr=1, v=20, vn=0}
-149722	莫斯科	125662	172370	2	{ns=63}
-149723	秃疮	65536	31171	3	{n=0}
-149724	挂帅	65536	25346	3	{v=6, vn=0}
-149725	大千	79753	22823	1	null
-149726	碗筷	65536	30871	3	{n=2}
-149727	绣房	65536	32483	3	{n=0}
-149728	莫斯科市	65536	149722	3	{ns=3}
-149729	莫明其	126798	172465	1	null
-149730	大午	65536	22823	3	{nz=0}
-149731	美术家	65536	197359	3	{n=6}
-149732	大半	76922	22823	2	{d=1, m=7}
-149733	年刊	65536	24180	3	{n=0}
-149734	脑门子	65536	204216	3	{n=1}
-149735	莫明其妙	65536	149729	3	{i=1}
-149736	大华	65536	22823	3	{nr=1, nz=0}
-149737	土货	65536	22303	3	{n=0}
-149738	土质	65536	22303	3	{n=4}
-149739	杀死	65536	26432	3	{v=3}
-149740	羁留	65536	32641	3	{v=0}
-149741	纵横有	119245	173415	1	null
-149742	莫桑比	128943	173044	1	null
-149743	施训	65536	26045	3	{v=1}
-149744	荷兰王	127360	152694	1	null
-149745	第一流	65536	141874	3	{b=4}
-149746	安家	73490	23433	2	{v=1}
-149747	标准粉	65536	149778	3	{n=0}
-149748	续假	65536	32493	3	{v=0}
-149749	芭蕾舞团	65536	148601	3	{n=12}
-149750	断乎	65536	26029	3	{d=0}
-149751	纱橱	65536	32433	3	{n=0}
-149752	年初	65536	24180	3	{t=53}
-149753	精兵简	116607	194112	1	null
-149754	莫桑比克	128908	149742	2	{ns=6}
-149755	大卡	65536	22823	2	{q=0}
-149756	激光	109953	28608	2	{n=26}
-149757	莫桑比克共	128114	149754	1	null
-149758	莫桑比克共和	127493	149757	1	null
-149759	滋阴	108609	28363	1	null
-149760	天台	80518	22825	1	null
-149761	猎户	110220	29454	2	{n=0, nz=0}
-149762	莫桑比克共和国	65536	149758	3	{ns=0}
-149763	浑朴	65536	27985	3	{a=0}
-149764	年利	79797	24180	2	{n=0}
-149765	莫此为	119788	173831	1	null
-149766	莫此为甚	65536	149765	3	{i=0}
-149767	莫测高	121624	174318	1	null
-149768	服务组	65536	133989	3	{n=1}
-149769	莫测高深	65536	149767	3	{i=0}
-149770	大印	65536	22823	3	{n=0}
-149771	莫知所	124260	177032	1	null
-149772	感知	65536	24863	3	{v=1, vn=0}
-149773	彩釉	72560	24425	2	{n=3}
-149774	莫知所措	65536	149771	3	{i=0}
-149775	莫索罗	65536	178373	3	{ns=0}
-149776	地花	65541	22320	1	null
-149777	莒县	65536	33682	3	{ns=0}
-149778	标准	117866	26631	2	{a=4, n=215, nz=0}
-149779	服务经	65536	133989	3	{n=2}
-149780	天各	80600	22825	1	null
-149781	猎手	65536	29454	3	{n=0}
-149782	莫纳加	123752	178774	1	null
-149783	莫纳加斯	125754	149782	1	null
-149784	莫纳加斯州	65536	149783	3	{ns=0}
-149785	莫罗尼	65536	178938	3	{n=0}
-149786	山体	65536	23665	3	{n=3}
-149787	暴发	96577	26292	2	{v=0, vn=0}
-149788	大厂	78318	22823	2	{ns=2}
-149789	良种场	65536	188731	3	{n=3}
-149790	突如	120463	31361	1	null
-149791	大厅	65536	22823	3	{n=57}
-149792	筋疲力竭	65536	141935	3	{i=0}
-149793	莫莱诺	65536	180052	3	{nz=0}
-149794	能者多	125837	176922	1	null
-149795	莫衷一	123640	181274	1	null
-149796	盗寇	65536	30423	3	{n=0}
-149797	浅尝	92893	27973	1	null
-149798	砸饭	108515	30776	1	null
-149799	莫衷一是	65536	149795	3	{i=0}
-149800	年前	65536	24180	3	{t=17}
-149801	级次	65536	32423	3	{n=3}
-149802	莫过于	65536	183146	3	{l=3}
-149803	根深	103120	26681	1	null
-149804	莫逆之	129673	183209	1	null
-149805	莫逆之交	65536	149804	3	{i=1}
-149806	碎米	65536	30862	3	{n=0}
-149807	莫须有	65536	185374	3	{i=2}
-149808	炮台	94344	28846	2	{n=0, ns=0}
-149809	珠翠	65536	29664	3	{n=0}
-149810	花花公	125373	220219	1	null
-149811	莫高窟	65536	185979	3	{ns=1}
-149812	约分	65536	32422	3	{v=0}
-149813	笺谱	65536	31546	3	{n=0}
-149814	莱姆病	65536	151013	3	{n=0}
-149815	莱州市	65536	152061	3	{ns=0}
-149816	探戈	83616	25506	2	{n=0, nz=0}
-149817	大原	65536	22823	3	{nr=0}
-149818	急忙	88027	24613	2	{d=9}
-149819	羊毛衫	65536	195093	3	{n=1}
-149820	莱比锡	65536	155635	3	{ns=0}
-149821	断井	79962	26029	1	null
-149822	综括	65536	32508	3	{v=0}
-149823	天启	65536	22825	3	{t=0}
-149824	大厦	76201	22823	2	{n=44, ns=0}
-149825	莱索托	65536	160065	3	{ns=3}
-149826	女真	65536	22899	3	{nz=2}
-149827	引柴	65536	24341	3	{n=0}
-149828	物理量	65536	163579	3	{n=0}
-149829	爪部	65536	29226	3	{s=1}
-149830	脏器	65536	33039	3	{n=3}
-149831	莱芒湖	65536	161457	3	{ns=0}
-149832	实物	84539	23454	2	{n=23}
-149833	极品	65536	26497	3	{n=1}
-149834	犯法	65536	29359	3	{v=3, vn=0}
-149835	站区	65536	31449	3	{n=6}
-149836	断交	65536	26029	3	{v=3}
-149837	祭幛	65536	31085	3	{n=0}
-149838	磷矿	65536	30967	3	{n=0}
-149839	禁毒署	65536	182367	3	{n=0}
-149840	安尔	84887	23433	1	null
-149841	莱芜市	65536	161467	3	{ns=0}
-149842	答数	65536	31572	3	{n=0}
-149843	莱茵河	65536	161620	3	{ns=0}
-149844	莱西县	65536	163230	3	{ns=0}
-149845	浓度	65536	27987	3	{n=4}
-149846	莱阳市	65536	166482	3	{ns=1}
-149847	莲峰乡	65536	152328	3	{ns=0}
-149848	汽车	108117	27773	2	{n=191}
-149849	渺无音	110661	133650	1	null
-149850	女眷	65536	22899	3	{n=0}
-149851	莲花县	65536	161993	3	{ns=0}
-149852	莲蓬子儿	65536	150393	3	{n=0}
-149853	莲蓬头	65536	162564	3	{n=0}
-149854	烫金	106355	28907	2	{b=1}
-149855	莳花	118676	33715	1	null
-149856	汽轮	101640	27773	2	{n=0}
-149857	莳花种	116249	149855	1	null
-149858	莳花种草	65536	149857	3	{i=0}
-149859	莴笋	65536	33716	3	{n=0}
-149860	获奖者	65536	156628	3	{n=4}
-149861	暴君	65536	26292	3	{n=0}
-149862	老同志	65536	206957	3	{n=0}
-149863	获得性	65536	158229	3	{n=0}
-149864	肩头	65536	32937	3	{n=2}
-149865	肯定	65536	32943	3	{a=5, ad=0, an=5, d=15, v=43, vn=28}
-149866	意马	89173	24847	1	null
-149867	大发	65705	22823	1	null
-149868	获益匪	121898	164168	1	null
-149869	敬辞	65536	25964	3	{n=0}
-149870	大叔	65536	22823	3	{n=6}
-149871	获益匪浅	65536	149868	3	{l=0}
-149872	莹莹	65536	33721	3	{nr=0, z=0}
-149873	莺啼燕	128066	149874	1	null
-149874	莺啼	120732	33722	1	null
-149875	莺啼燕唱	65536	149873	3	{l=1}
-149876	莺歌燕	116567	155458	1	null
-149877	莺歌燕舞	65536	149876	3	{i=2}
-149878	失窃	65536	22833	3	{v=0, vn=0}
-149879	稳操胜	119885	155789	1	null
-149880	莼菜	65536	33724	3	{n=0}
-149881	莽里莽	124130	165804	1	null
-149882	挑错	65536	25361	3	{v=0, vn=0}
-149883	胆大心	114169	172380	1	null
-149884	港岛	65536	28207	3	{ns=2}
-149885	大口	79647	22823	1	null
-149886	湖北	100695	28246	2	{ns=76, nz=0}
-149887	莽原	65536	33725	3	{n=0}
-149888	莽里莽撞	65536	149881	3	{z=0}
-149889	安居	84940	23433	2	{n=1, ns=0, v=2, vn=2}
-149890	形骸	65536	24418	3	{n=0}
-149891	菁华	65536	33729	3	{n=0}
-149892	杀气	90142	26432	2	{n=1}
-149893	芗城	65536	33431	3	{ns=1}
-149894	急急	88514	24613	1	null
-149895	菅野	65536	33733	3	{nr=0}
-149896	急性	89199	24613	2	{b=4, d=1, n=0}
-149897	菇农	65536	33735	3	{n=0}
-149898	菌丝体	65536	150249	3	{n=0}
-149899	断代	97540	26029	2	{b=3, v=0, vn=0}
-149900	茁实	65536	33537	3	{a=0}
-149901	天命	65536	22825	3	{n=0}
-149902	菊花石	65536	159876	3	{n=0}
-149903	德行	65536	24503	3	{n=2}
-149904	大叶	73068	22823	1	null
-149905	大号	65536	22823	3	{b=0, n=1}
-149906	大司	65594	22823	1	null
-149907	线装本	65536	189526	3	{n=0}
-149908	菏泽	125847	33743	2	{ns=7}
-149909	服务网	65536	133989	3	{n=0}
-149910	回首	65536	22238	3	{v=16}
-149911	景观	65536	26223	3	{n=16}
-149912	缅甸	65536	32517	3	{ns=3}
-149913	菏泽市	65536	149908	3	{ns=3}
-149914	疯杈	65536	30127	3	{n=0}
-149915	腰杆子	65536	170838	3	{n=0}
-149916	管理人	65536	197816	3	{n=1}
-149917	大吃	79798	22823	1	null
-149918	菖蒲	65536	33750	3	{n=0}
-149919	菜单化	65536	191163	3	{v=0}
-149920	老少无	118061	209010	1	null
-149921	头部	65536	22836	3	{n=11, s=0}
-149922	大合	77961	22823	1	null
-149923	大吉	76951	22823	2	{z=3}
-149924	整年	86575	25972	2	{d=0}
-149925	珠联	105159	29664	1	null
-149926	大同	76621	22823	2	{n=0, ns=10, nz=0}
-149927	大名	78340	22823	2	{n=3, ns=0}
-149928	大后	76960	22823	1	null
-149929	大吏	65536	22823	3	{n=0}
-149930	工党	65536	24037	3	{j=0, n=13}
-149931	菜团子	65536	192072	3	{n=0}
-149932	服部	65536	26381	3	{nr=0}
-149933	菜园子	65536	192083	3	{n=1}
-149934	菜市场	65536	193896	3	{n=5}
-149935	菜子油	65536	193206	3	{n=0}
-149936	菜篮子	65536	201556	3	{n=184}
-149937	土路	65536	22303	3	{n=1}
-149938	菜籽油	65536	201699	3	{n=0}
-149939	得胜	65536	24471	3	{v=0, vn=0}
-149940	引桥	65536	24341	3	{n=1}
-149941	菜粉蝶	65536	201711	3	{n=0}
-149942	菜青虫	65536	208568	3	{n=0}
-149943	菟丝	126568	33759	1	null
-149944	菟丝子	65536	149943	3	{n=0}
-149945	检错	65536	26816	3	{v=0}
-149946	激切	65536	28608	3	{a=0}
-149947	抽枝	65536	25277	3	{v=0}
-149948	菠萝蜜	65536	150021	3	{n=0}
-149949	菩提树	65536	149954	3	{n=0}
-149950	湖南	100699	28246	2	{ns=57}
-149951	艾基	114674	33406	1	null
-149952	空白符	65536	202511	3	{n=0}
-149953	猛地	65536	29467	3	{d=1}
-149954	菩提	123308	33769	1	null
-149955	示范岗	65536	153264	3	{n=4}
-149956	菠菜	65536	33760	3	{n=1}
-149957	工兵	85902	24037	2	{n=1}
-149958	绝对数	65536	195155	3	{n=0}
-149959	工具	88160	24037	2	{n=41}
-149960	数字	98565	25968	2	{n=108}
-149961	菩萨心	117035	158234	1	null
-149962	根源	65536	26681	3	{n=13, v=0}
-149963	菩萨心肠	65536	149961	3	{l=0}
-149964	肘弯	65536	32920	3	{n=0}
-149965	草木犀	65536	207078	3	{n=0}
-149966	菱镁矿	65536	163776	3	{n=0}
-149967	大吵	76960	22823	1	null
-149968	更换	65536	26356	3	{v=12, vn=2}
-149969	涂鸦	65536	28034	3	{v=0}
-149970	渡鸦	65536	28193	3	{n=0}
-149971	大吹	76965	22823	1	null
-149972	菲亚	120669	33778	1	null
-149973	炒股	65536	28818	3	{v=0, vn=0}
-149974	菲亚特	65536	149972	3	{nz=0}
-149975	数学	95063	25968	2	{n=5}
-149976	菲律宾	65536	154309	3	{ns=60}
-149977	菽水	124763	33789	1	null
-149978	菽水承	122553	149977	1	null
-149979	菽水承欢	65536	149978	3	{i=0}
-149980	萍乡市	65536	149981	3	{ns=2}
-149981	萍乡	125914	33805	2	{ns=4}
-149982	萍水相	113085	157616	1	null
-149983	萍水相逢	65536	149982	3	{i=1}
-149984	对接	65536	23545	3	{v=4, vn=1}
-149985	菱形	65536	33777	3	{n=0}
-149986	萍踪浪	113130	166310	1	null
-149987	萍踪浪迹	65536	149986	3	{i=1}
-149988	玩味	65536	29609	3	{v=0}
-149989	萎陷疗	122130	156011	1	null
-149990	碍眼	65536	30861	3	{a=0}
-149991	萎陷疗法	65536	149989	3	{l=0}
-149992	萎靡不	124612	156245	1	null
-149993	肝儿	65536	32925	3	{n=0}
-149994	广旺	65536	24191	3	{ns=0}
-149995	糜费	65536	31964	3	{a=0}
-149996	工农	88208	24037	2	{n=5}
-149997	稳中	114528	31283	1	null
-149998	玩命	65536	29609	3	{v=2}
-149999	疯枝	65536	30127	3	{n=0}
-150000	支书	65536	25903	3	{n=6}
-150001	学生	83358	23398	2	{n=262}
-150002	大员	65536	22823	3	{n=0}
-150003	萎靡不振	65536	149992	3	{i=0}
-150004	萝卜	125829	33821	2	{n=5}
-150005	萝芙木	65536	162097	3	{n=0}
-150006	晚班	65536	26202	3	{n=2}
-150007	萝卜干	65536	150004	3	{n=0}
-150008	萤火	115599	33828	2	{n=0}
-150009	秀气	65536	31168	3	{a=0}
-150010	萤火虫	65536	150008	3	{n=0}
-150011	营业执照	65536	155425	3	{n=5}
-150012	广昌	65536	24191	3	{ns=4}
-150013	脏土	65536	33039	3	{n=0}
-150014	秘室	65536	31192	3	{n=0}
-150015	棉布	65536	26825	3	{n=0}
-150016	思麦	86427	24605	1	null
-150017	站台	110424	31449	2	{n=0}
-150018	潜意	96131	28508	1	null
-150019	抽查	65536	25277	3	{v=22, vn=23}
-150020	失笑	65536	22833	3	{v=0}
-150021	菠萝	115360	33760	2	{n=1}
-150022	桑给	100786	26705	1	null
-150023	萌动	65536	33804	3	{v=2, vn=1}
-150024	营养元素	65536	150034	3	{l=0}
-150025	改善	65536	25913	3	{v=195, vn=52}
-150026	营利性	65536	169742	3	{b=0}
-150027	肯尼	126398	32943	1	null
-150028	棉帐	93337	26825	1	null
-150029	学画	65536	23398	3	{v=1}
-150030	莲叶	65536	33714	3	{n=0}
-150031	碑文	65536	30865	3	{n=0}
-150032	营口市	65536	170184	3	{ns=2}
-150033	布纹	76330	24067	2	{n=0}
-150034	营养元	117992	169568	1	null
-150035	营火会	65536	177488	3	{n=0}
-150036	营私舞	125710	179878	1	null
-150037	烂醉	109748	28866	1	null
-150038	大呼	76303	22823	1	null
-150039	布线	86504	24067	1	null
-150040	营私舞弊	65536	150036	3	{i=2}
-150041	秀水	117979	31168	1	null
-150042	焊点	65536	28938	3	{n=0}
-150043	病原菌	65536	187844	3	{n=0}
-150044	营造尺	65536	185605	3	{n=0}
-150045	萎缩	65536	33806	3	{v=7, vn=2}
-150046	学界	65536	23398	3	{n=2}
-150047	猎捕	65536	29454	3	{v=0}
-150048	秘密	65536	31192	3	{a=11, ad=5, an=0, n=21}
-150049	萦绕	65536	33830	3	{v=0}
-150050	秦中	65536	31206	3	{ns=0}
-150051	普希	84115	26222	1	null
-150052	萧山市	65536	152726	3	{ns=0}
-150053	楼板	65536	27004	3	{n=1}
-150054	大和	65536	22823	3	{nz=19}
-150055	萧规曹	111517	164329	1	null
-150056	菊展	65536	33738	3	{n=2}
-150057	年华	65536	24180	3	{n=8}
-150058	整建	65536	25972	3	{v=0}
-150059	急惊	73461	24613	1	null
-150060	萧规曹随	65536	150055	3	{i=0}
-150061	纺机	65536	32442	3	{n=0}
-150062	湘西	65536	28248	3	{ns=37}
-150063	硫酸盐	65536	155441	3	{n=0}
-150064	外环	66756	22806	1	null
-150065	窃玉	120735	31363	1	null
-150066	扶风	93662	25206	2	{ns=0}
-150067	萨克斯	118420	163057	2	{n=0}
-150068	派遣	65536	27966	3	{v=16, vn=0}
-150069	萨克斯管	65536	150067	3	{n=0}
-150070	窝棚	65536	31389	3	{n=2}
-150071	美洲虎	65536	198898	3	{nz=0}
-150072	纹枯	113361	32441	1	null
-150073	棉帽	65536	26825	3	{n=0}
-150074	萨克森州	65536	150898	3	{ns=0}
-150075	萨其马	65536	163100	3	{n=0}
-150076	绥宁	65536	32485	3	{ns=0}
-150077	萨安州	65536	165679	3	{ns=0}
-150078	萨尔瓦	127272	165818	1	null
-150079	异花	90096	24322	1	null
-150080	挂彩	65536	25346	3	{v=0}
-150081	大咧	78124	22823	1	null
-150082	萨尔瓦多	126017	150078	2	{ns=2}
-150083	萨尔瓦多市	65536	150082	3	{ns=2}
-150084	萨帕塔	65536	166331	3	{nz=1}
-150085	罪名	65536	32618	3	{n=5}
-150086	源程	107039	28304	1	null
-150087	强壮	89719	24378	2	{a=2, v=1}
-150088	萨拉热	118702	167535	1	null
-150089	失策	65536	22833	3	{n=0, v=0}
-150090	湖口	109722	28246	2	{ns=0}
-150091	萨拉热窝	65536	150088	3	{ns=0}
-150092	萨摩亚	120673	167951	2	{ns=2}
-150093	萨摩亚独	118663	150092	1	null
-150094	炎陵	111071	28814	1	null
-150095	欢乐	65536	27426	3	{a=50, ad=0, an=8, vn=0}
-150096	碳酸钙	65536	156969	3	{n=0}
-150097	拖驳	65536	25302	3	{n=0}
-150098	萨摩亚独立	127840	150093	1	null
-150099	狱警	65536	29425	3	{n=1}
-150100	科学界	65536	186696	3	{n=5}
-150101	抽样	94165	25277	2	{v=2, vd=0, vn=2}
-150102	工分	65536	24037	3	{n=0}
-150103	碳酸钠	65536	156969	3	{n=0}
-150104	淡如	93485	28129	1	null
-150105	肖形	125008	32918	1	null
-150106	测速	65536	27979	3	{v=0}
-150107	激动	112099	28608	2	{a=48, an=4, v=0}
-150108	淡妆	102396	28129	2	{n=0}
-150109	萨摩亚独立国	65536	150098	3	{ns=1}
-150110	萨格勒	126044	168930	1	null
-150111	萨格勒布	65536	150110	3	{ns=1}
-150112	萨满教	65536	170631	3	{n=0}
-150113	年历	80120	24180	2	{n=5}
-150114	支付	91772	25903	2	{v=30, vn=35}
-150115	萨瓦河	65536	172172	3	{ns=0}
-150116	激励	65536	28608	3	{v=30, vn=18}
-150117	灶间	65536	28790	3	{n=1}
-150118	臭不	126489	33261	1	null
-150119	稳产	65536	31283	3	{b=7, j=0, n=0, v=0, vn=0}
-150120	萨迦寺	65536	179084	3	{ns=0}
-150121	猥词	65536	29477	3	{n=0}
-150122	湖吃	103139	28246	1	null
-150123	投工	65536	25237	3	{v=2}
-150124	回马	69616	22238	1	null
-150125	萨马拉	65536	181778	3	{ns=0}
-150126	萱草	65536	33841	3	{n=0}
-150127	萼片	65536	33852	3	{n=0}
-150128	落井下石	65536	150133	3	{i=0}
-150129	育婴	123998	32946	1	null
-150130	落井投石	65536	155391	3	{i=0}
-150131	旱象	65536	26097	3	{n=0}
-150132	瘫软	65536	30251	3	{v=0}
-150133	落井下	119421	195701	1	null
-150134	落到实	127348	196624	1	null
-150135	老年性	65536	209621	3	{n=1}
-150136	落到实处	65536	150134	3	{l=21}
-150137	落叶归根	65536	150145	3	{i=0}
-150138	耀斑	65536	32768	3	{n=0}
-150139	同龄	73495	21516	2	{v=3, vn=0}
-150140	泰王	106805	27888	1	null
-150141	插话	65536	25554	3	{n=0, v=1}
-150142	如诉	79180	22914	1	null
-150143	大哥	76973	22823	2	{n=1}
-150144	强大	65536	24378	3	{a=61, an=2}
-150145	落叶归	123456	197078	1	null
-150146	落拓不	117506	200883	1	null
-150147	落拓不羁	65536	150146	3	{i=0}
-150148	落水狗	65536	203284	3	{n=0}
-150149	头里	65536	22836	3	{f=0, s=1}
-150150	头重	67995	22836	1	null
-150151	舌下腺	65536	156959	3	{n=0}
-150152	落地扇	65536	197904	3	{n=0}
-150153	窑炉	65536	31377	3	{n=0}
-150154	失算	65536	22833	3	{v=0, vn=0}
-150155	纺织机	65536	156090	3	{n=0}
-150156	落汤鸡	65536	203332	3	{n=0}
-150157	落耳坡	123716	208403	1	null
-150158	投师	65536	25237	3	{v=0}
-150159	实现	65536	23454	3	{v=647, vd=0, vn=42}
-150160	次次	65536	27425	3	{q=1}
-150161	耐火砖	65536	165552	3	{n=0}
-150162	整形	92211	25972	2	{v=1, vn=0}
-150163	科索沃省	65536	140544	3	{ns=1}
-150164	微秒	65536	24494	3	{q=0}
-150165	落耳坡村	65536	150157	3	{ns=2}
-150166	落花流	122468	209041	1	null
-150167	落脚处	65536	208634	3	{n=0}
-150168	落花流水	65536	150166	3	{i=0}
-150169	瞻仰者	65536	138807	3	{n=2}
-150170	挂心	65536	25346	3	{v=0}
-150171	犬马	113965	29356	2	{n=0}
-150172	救生	98255	25937	2	{v=0, vn=0}
-150173	空间科	117852	210566	1	null
-150174	落英缤	117737	209105	1	null
-150175	演戏	65536	28436	3	{v=4}
-150176	落英缤纷	65536	150174	3	{i=0}
-150177	暖风	95228	26262	2	{n=2}
-150178	落荒而	113315	209202	1	null
-150179	立体派	65536	187868	3	{n=0}
-150180	炒腰	99070	28818	1	null
-150181	检阅	103563	26816	2	{v=1, vn=2}
-150182	落荒而逃	65536	150178	3	{i=2}
-150183	臭乎	127936	33261	1	null
-150184	特种部	95471	188432	1	null
-150185	章法	65536	31456	3	{n=2}
-150186	大唐	65536	22823	3	{nz=0}
-150187	落落大方	65536	150199	3	{i=0}
-150188	年发	79372	24180	1	null
-150189	急慌	87675	24613	1	null
-150190	自选市	125623	223033	1	null
-150191	落落寡合	65536	150897	3	{i=0}
-150192	著书立	114367	150211	1	null
-150193	微积	90532	24494	1	null
-150194	碾米	113257	30910	2	{vn=0}
-150195	著书立说	117423	150192	2	{i=1}
-150196	著书立说者	65536	150195	3	{n=1}
-150197	臣子	65536	33251	3	{n=0}
-150198	著作等身	65536	160286	3	{i=1}
-150199	落落大	124146	209437	1	null
-150200	腔调	65536	33108	3	{n=0}
-150201	改嘴	65536	25913	3	{v=0}
-150202	葛仙米	65536	150213	3	{n=0}
-150203	葛巾羽	125045	154090	1	null
-150204	葛巾羽扇	65536	150203	3	{l=0}
-150205	葛洲坝	65536	157982	3	{ns=3, nz=0}
-150206	寒舍	65536	23506	3	{n=0}
-150207	工副	88167	24037	1	null
-150208	葡萄沟乡	65536	156485	3	{ns=0}
-150209	研磨	65536	30740	3	{v=0, vn=0}
-150210	葡萄牙共	128574	157951	1	null
-150211	著书	118757	33879	2	{v=1, vn=0}
-150212	犁铧	65536	29313	3	{n=0}
-150213	葛仙	118343	33883	1	null
-150214	布置	65536	24067	3	{v=16, vn=5}
-150215	著作史	65536	150457	3	{n=1}
-150216	盲文	65536	30450	3	{n=1}
-150217	激化	65536	28608	3	{v=6, vn=0}
-150218	葡萄牙共和	127950	150210	1	null
-150219	葡萄牙共和国	65536	150218	3	{ns=0}
-150220	挂念	65536	25346	3	{v=2, vn=1}
-150221	葡文	65536	33889	3	{nz=0}
-150222	糟粕	65536	31967	3	{n=1}
-150223	绯闻	65536	32495	3	{n=5}
-150224	当一	88037	24403	1	null
-150225	强奸	81423	24378	2	{v=2, vn=0}
-150226	年号	65536	24180	3	{n=0}
-150227	脐橙	65536	33040	3	{n=0}
-150228	葡萄球菌	65536	158377	3	{n=0}
-150229	胖墩	124039	32982	2	{n=0}
-150230	董事	130023	33891	2	{n=4}
-150231	挂怀	65536	25346	3	{v=0}
-150232	秦代	65536	31206	3	{t=2}
-150233	对撞	80017	23545	1	null
-150234	董建华	65536	154437	3	{nr=27}
-150235	当下	65536	24403	3	{d=1, t=1}
-150236	百无聊	101186	187833	1	null
-150237	葫芦	126565	33899	2	{n=2}
-150238	抽检	65536	25277	3	{v=1, vn=0}
-150239	莫罗市	65536	178938	3	{ns=0}
-150240	粪池	65536	31914	3	{n=0}
-150241	葫芦岛市	65536	150272	3	{ns=0}
-150242	港币	65536	28207	3	{n=6}
-150243	白发苍	103431	194751	1	null
-150244	归行	81284	24402	1	null
-150245	葫蔓藤	65536	150858	3	{n=0}
-150246	略为	65536	30053	3	{d=0, v=0}
-150247	葬身鱼	117108	155752	1	null
-150248	益菌	65536	30410	3	{n=0}
-150249	菌丝	129591	33740	2	{n=0}
-150250	父辈	65536	29238	3	{n=3}
-150251	工力	83449	24037	2	{n=0}
-150252	狡辩	65536	29409	3	{vd=0}
-150253	葬身鱼腹	65536	150247	3	{i=0}
-150254	工办	65536	24037	3	{j=1}
-150255	艰苦奋	122317	160732	1	null
-150256	筛管	65536	31579	3	{n=0}
-150257	工务	80593	24037	1	null
-150258	治外	100695	27835	1	null
-150259	葱花饼	65536	161083	3	{n=0}
-150260	蒋介石	65536	150328	3	{nr=10}
-150261	竟然	65536	31455	3	{d=24}
-150262	扬长	82227	25196	1	null
-150263	蒋坝镇	65536	152522	3	{ns=3}
-150264	并非	86587	24182	2	{d=6, v=40}
-150265	葬礼	65536	33900	3	{n=2}
-150266	篾片	65536	31742	3	{n=0}
-150267	畅行	110169	30021	2	{v=1}
-150268	抗宣	76890	25239	2	{j=0}
-150269	当中	65536	24403	3	{f=21}
-150270	承继	65536	25215	3	{v=3, vn=0}
-150271	葵扇	65536	33909	3	{n=0}
-150272	葫芦岛	126175	150237	2	{ns=0}
-150273	董事会	65536	150230	3	{n=20}
-150274	葵花仁	65536	158569	3	{n=1}
-150275	蒋墅镇	65536	152818	3	{ns=0}
-150276	蒋家堰	65536	153635	3	{ns=0}
-150277	蒋管区	65536	161806	3	{n=1}
-150278	民族魂	65536	179446	3	{n=0}
-150279	蒙古人种	65536	150282	3	{l=0}
-150280	漆雕	65536	28422	3	{nr=0}
-150281	支使	65536	25903	3	{v=0}
-150282	蒙古人	119098	181832	1	null
-150283	蒙在鼓	112960	182668	1	null
-150284	蒙在鼓里	65536	150283	3	{i=0}
-150285	碧水	65536	30887	3	{n=2}
-150286	糟糕	65536	31967	3	{a=0}
-150287	稳住	65536	31283	3	{v=4, vn=0}
-150288	演技	65536	28436	3	{n=1}
-150289	标准级	65536	149778	3	{n=0}
-150290	犹豫	114066	29369	2	{a=3, an=0}
-150291	密麻	65540	23494	1	null
-150292	蒙城县	65536	182834	3	{ns=0}
-150293	立足点	65536	203836	3	{n=4}
-150294	蒙太奇	65536	183182	3	{n=0}
-150295	蒙头转	128777	183192	1	null
-150296	广木	65536	24191	3	{nr=0}
-150297	糟糠	122667	31967	2	{n=0}
-150298	蒙头转向	65536	150295	3	{i=0}
-150299	当之	84805	24403	1	null
-150300	福利社	65536	171194	3	{n=0}
-150301	建网	65536	24314	3	{v=4}
-150302	药剂学	65536	199438	3	{n=0}
-150303	蒙彼利	127837	184800	1	null
-150304	蒙彼利埃	65536	150303	3	{ns=0}
-150305	敬酒	65536	25964	3	{v=0}
-150306	蒙得维	119970	184827	1	null
-150307	寒色	65536	23506	3	{n=0}
-150308	大喊	76974	22823	2	{v=0}
-150309	翠竹	65536	32736	3	{n=2}
-150310	蒙得维的	130191	150306	1	null
-150311	添马	97322	28155	1	null
-150312	晚生	101187	26202	1	null
-150313	蒙得维的亚	65536	150310	3	{ns=1}
-150314	蒙昧主	130276	186507	1	null
-150315	抗寒	65536	25239	3	{v=0}
-150316	箭步	65536	31661	3	{n=0}
-150317	蒙昧主义	65536	150314	3	{n=0}
-150318	蒙汗药	65536	188091	3	{n=0}
-150319	猛增	65536	29467	3	{v=4, vn=0}
-150320	萌发	65536	33804	3	{v=7}
-150321	芜湖	127075	33436	2	{ns=0}
-150322	指不	92880	25351	1	null
-150323	硫化钠	65536	139471	3	{n=0}
-150324	工勤	65536	24037	3	{j=1}
-150325	美术师	65536	197359	3	{n=0}
-150326	大喜	79692	22823	2	{n=0, v=0}
-150327	蒙混过	129479	188507	1	null
-150328	蒋介	119553	33931	1	null
-150329	犁镜	65536	29313	3	{n=0}
-150330	蒙混过关	65536	150327	3	{l=0}
-150331	汗牛	107060	27735	1	null
-150332	蒙特利	126761	189661	1	null
-150333	蒙特利尔	126268	150332	2	{ns=15}
-150334	蒙特利尔市	65536	150333	3	{ns=3}
-150335	蒙特卡洛	65536	150644	3	{ns=2}
-150336	蒙特雷市	65536	167946	3	{ns=0}
-150337	指东	80503	25351	1	null
-150338	蒙罗维	130220	192955	1	null
-150339	标号	65536	26631	3	{n=1}
-150340	汽酒	65536	27773	3	{n=0}
-150341	脾气	65536	33086	3	{n=2}
-150342	蒙罗维亚	65536	150338	3	{ns=0}
-150343	离心离	115795	186963	1	null
-150344	蒙蒙亮	65536	194301	3	{v=2}
-150345	肝功	113354	32925	1	null
-150346	蒙达利	130227	197154	1	null
-150347	膝头	65536	33181	3	{n=0}
-150348	澳门	65536	28595	3	{ns=66}
-150349	蒙达利亚	65536	150346	3	{ns=0}
-150350	洛铜	65536	27931	3	{j=2}
-150351	山冈	65536	23665	3	{n=1}
-150352	蒲公英	127483	151072	2	{n=6}
-150353	蒲公英奖	65536	150352	3	{nz=3}
-150354	示范带	116991	153264	2	{n=2}
-150355	胖大	118715	32982	1	null
-150356	羽毛扇	65536	154731	3	{n=0}
-150357	楼梯	65536	27004	3	{n=1}
-150358	悲鸣	65536	24754	3	{v=0}
-150359	蒲圻市	65536	152559	3	{ns=4}
-150360	望见	65536	26395	3	{v=1}
-150361	布老	74393	24067	1	null
-150362	蒲城县	65536	152706	3	{ns=0}
-150363	当事	90759	24403	2	{n=0}
-150364	棋盘	102729	26827	2	{n=1}
-150365	舒坦	65536	33298	3	{a=2}
-150366	蒸蒸日	130404	163553	1	null
-150367	笋竹	65536	31499	3	{n=0}
-150368	胖头	106681	32982	2	{n=0}
-150369	蒸发器	65536	151034	3	{n=1}
-150370	恶臭	65536	24694	3	{n=1}
-150371	桑耶	101313	26705	1	null
-150372	缘故	65536	32536	3	{n=5}
-150373	秧脚	65536	31207	3	{n=0}
-150374	盖板	65536	30422	3	{n=1}
-150375	芳姿	65536	33459	3	{n=0}
-150376	蒸气机	65536	157245	3	{n=0}
-150377	翼手	114940	32764	1	null
-150378	蒸汽机	65536	157350	3	{n=0}
-150379	献给	65536	29486	3	{v=23}
-150380	狼吞	100018	29436	1	null
-150381	大嗓	65979	22823	1	null
-150382	蒸蒸日上	65536	150366	3	{i=2}
-150383	蒺藜	65536	33978	3	{n=0}
-150384	工匠	65536	24037	3	{n=2}
-150385	抗尘	79119	25239	1	null
-150386	胞弟	65536	32990	3	{n=0}
-150387	蒿子	119221	33983	2	{n=0}
-150388	腐乳	65536	33104	3	{n=0}
-150389	绒毛	114544	32466	2	{n=0}
-150390	对攻	65536	23545	3	{v=0, vn=0}
-150391	粘粘糊	110529	154926	1	null
-150392	后魏	65536	21518	3	{t=0}
-150393	莲蓬子	129053	162564	1	null
-150394	经济学界	65536	185508	3	{n=2}
-150395	蒿子秆	65536	150387	3	{n=0}
-150396	猛士	65536	29467	3	{n=0}
-150397	系民	65536	31995	3	{nz=0}
-150398	稀世	65536	31232	3	{b=2}
-150399	稳便	65536	31283	3	{a=0}
-150400	国计	68781	22269	1	null
-150401	女神	80589	22899	2	{n=2}
-150402	蓄水库	65536	157267	3	{n=0}
-150403	蓄洪量	65536	157513	3	{n=0}
-150404	激发	107507	28608	2	{v=29, vn=1}
-150405	蓄电池	65536	159572	3	{n=0}
-150406	牌楼	65536	29260	3	{n=1}
-150407	对敌	65536	23545	3	{v=1, vn=5}
-150408	格斗	65536	26684	3	{n=1, v=1, vn=0}
-150409	绒毯	65536	32466	3	{n=0}
-150410	工区	65536	24037	3	{n=4}
-150411	蓊蓊	113355	33994	1	null
-150412	蓊蓊郁	113358	150411	1	null
-150413	国议	76200	22269	1	null
-150414	蓉园	65536	33993	3	{n=3}
-150415	蓊蓊郁郁	65536	150412	3	{z=1}
-150416	极圈	65536	26497	3	{n=0}
-150417	当仁	90909	24403	1	null
-150418	碧油	111778	30887	1	null
-150419	稻场	65536	31291	3	{n=0}
-150420	蓑衣	116813	34001	2	{n=0}
-150421	蒸馏器	65536	168888	3	{n=0}
-150422	蓑衣草	65536	150420	3	{n=0}
-150423	寒苦	65536	23506	3	{a=0}
-150424	蓓蕾	65536	34003	3	{n=0}
-150425	未见	98543	26410	1	null
-150426	当今	65536	24403	3	{t=48, v=1}
-150427	蓖麻	122599	34006	2	{n=0}
-150428	敬重	65536	25964	3	{v=3, vn=1}
-150429	耐人深	121225	156927	1	null
-150430	次氯	88475	27425	1	null
-150431	废黜	65536	24223	3	{v=1}
-150432	蓖麻油	65536	150427	3	{n=0}
-150433	美术年	65536	197359	3	{n=0}
-150434	红花草	65536	212047	3	{n=0}
-150435	学监	65536	23398	3	{n=0}
-150436	精疲力竭	65536	142573	3	{i=1}
-150437	空间站	65536	210566	3	{n=5}
-150438	外甥	76305	22806	2	{n=3}
-150439	更改	65536	26356	3	{v=2, vn=1}
-150440	蓝墨水	65536	180117	3	{n=0}
-150441	外用	65536	22806	3	{v=0, vn=4}
-150442	蒜头	65536	33948	3	{n=0}
-150443	对数	71524	23545	2	{n=1}
-150444	蓝宝石	65536	180874	3	{n=1}
-150445	蓝幽幽	65536	181610	3	{z=1}
-150446	蓝晶晶	65536	183651	3	{z=0}
-150447	情欲	65536	24773	3	{n=0}
-150448	指事	65536	25351	3	{n=0}
-150449	砖瓦	114045	30742	2	{n=3}
-150450	蓝森森	65536	184283	3	{z=0}
-150451	当代	90744	24403	2	{nz=0, t=104}
-150452	晚疫	91237	26202	1	null
-150453	膳食	111316	33203	2	{n=1}
-150454	外电	65583	22806	2	{j=0, n=7}
-150455	蓝汪汪	65536	185175	3	{z=0}
-150456	极地	65536	26497	3	{n=8}
-150457	著作	128725	33879	2	{n=25, v=1, vn=1}
-150458	枪毙	65536	26538	3	{v=1}
-150459	碧波	119639	30887	2	{n=3}
-150460	蓝湛湛	65536	185672	3	{z=0}
-150461	理论课	65536	189916	3	{n=2}
-150462	葱头	65536	33905	3	{n=0}
-150463	投弹	93127	25237	2	{v=0}
-150464	山凹	65536	23665	3	{n=0}
-150465	广柑	65536	24191	3	{n=1}
-150466	安庆	80884	23433	2	{ns=2}
-150467	示范店	65536	153264	3	{n=0}
-150468	蓝湿革	65536	185708	3	{n=0}
-150469	蓝澄澄	65536	185969	3	{z=0}
-150470	秦俑	117215	31206	2	{n=2, nz=0}
-150471	蓝生生	65536	187404	3	{z=0}
-150472	蓝田猿人	65536	150480	3	{n=0}
-150473	情歌	65536	24773	3	{n=4}
-150474	蓝点颏	65536	186278	3	{n=0}
-150475	矮矮	116317	30702	1	null
-150476	国语	65724	22269	2	{n=1}
-150477	外界	65536	22806	3	{n=7}
-150478	蓝田生玉	65536	150960	3	{i=0}
-150479	蓝皮书	65536	187803	3	{n=3}
-150480	蓝田猿	130318	187421	1	null
-150481	蓝盈盈	65536	187829	3	{z=0}
-150482	工厂	86897	24037	2	{n=67}
-150483	微笑	65536	24494	3	{n=1, v=8, vn=26}
-150484	多瑙	71655	22810	1	null
-150485	蓝蔚蔚	65536	191495	3	{z=0}
-150486	格日	101109	26684	1	null
-150487	皓首	106201	30355	1	null
-150488	突尼	115291	31361	1	null
-150489	癸申	65536	30328	3	{m=0}
-150490	蓝领工	130337	196467	1	null
-150491	蓝领工人	65536	150490	3	{n=0}
-150492	蓟县	65536	34015	3	{ns=5}
-150493	蓦地	65536	34022	3	{d=1}
-150494	独木赤	105415	189174	1	null
-150495	蓬头垢	111742	156542	1	null
-150496	蓬头垢面	65536	150495	3	{i=0}
-150497	缉私	111180	32521	2	{v=1, vn=0}
-150498	安度	65536	23433	3	{v=7}
-150499	蓬户瓮	121234	158849	1	null
-150500	萧县	65536	33831	3	{ns=1}
-150501	蒙特勒	65536	189661	3	{ns=0}
-150502	牢记	65536	29282	3	{v=20}
-150503	当众	65536	24403	3	{d=4}
-150504	蓬户瓮牖	65536	150499	3	{i=0}
-150505	蓬松松	65536	160200	3	{z=0}
-150506	蓬溪县	65536	162036	3	{ns=0}
-150507	片断	65536	29255	3	{n=0}
-150508	电磁辐	112527	199942	1	null
-150509	梅西	98524	26757	1	null
-150510	蓬荜增	113766	167334	1	null
-150511	蓬荜增辉	65536	150510	3	{i=0}
-150512	苟且	128386	33503	1	null
-150513	模范	104048	27169	2	{a=0, an=0, d=2, n=99}
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-150515	安康	80891	23433	2	{a=3, an=0, ns=1, nz=0}
-150516	对方	65536	23545	3	{n=34}
-150517	蓬莱仙	127861	167419	1	null
-150518	绘图机	65536	145261	3	{n=0}
-150519	投影	95048	25237	2	{n=0, v=0, vn=1}
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-150521	蓬蓬勃	129335	167734	1	null
-150522	蓬蓬勃勃	65536	150521	3	{i=1, z=1}
-150523	蓬门荜	125383	172082	1	null
-150524	荆州	125285	33606	2	{ns=6}
-150525	继承权	65536	154423	3	{n=0}
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-150527	综合治	114668	146010	1	null
-150528	蓬首垢	111778	173024	1	null
-150529	旱路	65536	26097	3	{n=0}
-150530	大器	73602	22823	2	{n=1}
-150531	罢官	65536	32610	3	{v=0}
-150532	蓬首垢面	65536	150528	3	{i=0}
-150533	荞麦窝	65536	149517	3	{n=1}
-150534	蓼蓝	65536	34044	3	{n=0}
-150535	实用	85532	23454	2	{a=14, an=1, v=1, vn=17}
-150536	略作	65536	30053	3	{v=0}
-150537	指令	91719	25351	2	{n=4, v=1, vn=0}
-150538	测量	106283	27979	2	{v=3, vn=9}
-150539	蔑视	65536	34065	3	{v=1, vn=0}
-150540	炸酱	93831	28856	2	{n=0}
-150541	天国	65536	22825	3	{n=3}
-150542	蔓生植	121254	159740	1	null
-150543	蔓生植物	65536	150542	3	{l=0}
-150544	改型	65536	25913	3	{v=0, vn=0}
-150545	蔗农	65536	34071	3	{n=0}
-150546	官纱	65536	23448	3	{n=0}
-150547	蔚为大	115283	150577	1	null
-150548	山前	65536	23665	3	{s=0}
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-150550	肥皂粉	65536	194645	3	{n=0}
-150551	归西	65536	24402	3	{v=1}
-150552	航天局	65536	165364	3	{n=3}
-150553	综合法	65536	146010	3	{n=0}
-150554	蔚成新	111439	155655	1	null
-150555	工友	65536	24037	3	{n=0}
-150556	蔓儿	65536	34067	3	{n=0}
-150557	蔚成新风	65536	150554	3	{l=1}
-150558	更新	96429	26356	2	{v=34, vn=9}
-150559	碑林	65536	30865	3	{n=0}
-150560	蔚成风气	65536	163640	3	{i=0, l=1}
-150561	蔚然成	111445	159533	1	null
-150562	缕缕	65536	32533	3	{z=3}
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-150565	稳健	112942	31283	2	{a=5, ad=8, an=0, v=1}
-150566	官绅	65536	23448	3	{n=0}
-150567	蔡公堂	130503	150578	1	null
-150568	蔡公堂乡	65536	150567	3	{ns=0}
-150569	炉衬	65536	28809	3	{n=0}
-150570	答案	65536	31572	3	{n=7}
-150571	荡人	125008	33633	1	null
-150572	当作	65536	24403	3	{v=5}
-150573	蔡家坡	65536	153212	3	{ns=0}
-150574	蔫不出溜	65536	150584	3	{z=0}
-150575	筛糠	65536	31579	3	{v=0}
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-150577	蔚为	127724	34074	1	null
-150578	蔡公	128037	34081	1	null
-150579	巴比	88259	24052	1	null
-150580	片时	65536	29255	3	{m=0}
-150581	蔫头耷	117542	153536	1	null
-150582	景象	65536	26223	3	{n=39}
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-150584	蔫不出	122258	150681	1	null
-150585	淡季	65536	28129	3	{n=0, t=3}
-150586	蔫巴巴	65536	154752	3	{z=0}
-150587	绘图板	65536	145261	3	{n=0}
-150588	致命处	65536	160836	3	{n=0}
-150589	绢本	65536	32482	3	{n=0}
-150590	蔫搭搭	65536	156345	3	{z=0}
-150591	穷追猛	115937	198362	1	null
-150592	天地	80320	22825	2	{n=29, nz=1}
-150593	肯干	65536	32943	3	{a=0}
-150594	租户	65536	31199	3	{n=0}
-150595	蔫耷耷	65536	163523	3	{z=0}
-150596	蔫蔫乎	130552	164791	1	null
-150597	特快车	65536	181806	3	{n=0}
-150598	蔫蔫乎乎	65536	150596	3	{z=0}
-150599	蔫蔫唧唧	65536	152349	3	{z=0}
-150600	旅美	65536	26053	3	{vn=5}
-150601	涉足	65536	28041	3	{v=9}
-150602	租房	65536	31199	3	{v=4}
-150603	蔬菜	130611	34092	2	{n=124}
-150604	肾结石	65536	159242	3	{n=0}
-150605	蔬菜业	65536	150603	3	{n=1}
-150606	蔷薇	65536	34103	3	{n=0}
-150607	研究	119119	30740	2	{n=3, v=319, vn=448}
-150608	碧海	65536	30887	3	{n=2}
-150609	名门	65536	21517	3	{n=0}
-150610	晋级	65536	26187	3	{v=4, vn=0}
-150611	插足	65536	25554	3	{v=0}
-150612	版税	65536	29256	3	{n=1}
-150613	外痔	65536	22806	3	{n=0}
-150614	荒诞剧	65536	193871	3	{n=0}
-150615	蔺相	127702	34106	1	null
-150616	蔺相如	65536	150615	3	{n=0}
-150617	葫芦巴	65536	150237	3	{n=0}
-150618	定海	74339	23450	1	null
-150619	快艇	65536	24555	3	{n=2}
-150620	蔽塞	65536	34109	3	{a=0, v=0}
-150621	天坍	78251	22825	1	null
-150622	而已	65536	32780	3	{u=0, y=6}
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-150626	艳史	65536	33395	3	{n=0}
-150627	荷兰盾	65536	152694	3	{n=0}
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-150631	耳闻目见	65536	145948	3	{i=0}
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-150635	天坛	65536	22825	3	{ns=0}
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-150639	蓉城	65536	33993	3	{ns=1}
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-150647	烘笼	65536	28888	3	{n=0}
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-150649	征讨	65536	24449	3	{v=0}
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-150653	莱塞	65536	33713	3	{n=0}
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-150671	昏黄	65536	26127	3	{z=2}
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-150682	结婚证	65536	195530	3	{n=0}
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-150691	毫针	65536	27627	3	{n=0}
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-150695	薪尽火传	65536	150690	3	{i=0}
-150696	薛埠	112472	34203	1	null
-150697	薪炭林	65536	159364	3	{n=1}
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-150699	多田	65536	22810	3	{nr=0}
-150700	藁城	126637	34241	1	null
-150701	笔墨纸	110966	185511	1	null
-150702	花花哨	127017	220219	1	null
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-150704	藉以	119308	34249	1	null
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-150706	藉以窥知	65536	150705	3	{l=1}
-150707	征询	65536	24449	3	{v=4, vn=0}
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-150710	枪法	65536	26538	3	{n=0}
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-150713	祈祷	65536	31048	3	{v=7, vn=2}
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-150717	灭门	112288	28781	1	null
-150718	藏污纳	128288	187375	1	null
-150719	瓷漆	65536	29943	3	{n=0}
-150720	汗珠	65536	27735	3	{n=2}
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-150730	大地	65536	22823	3	{n=64, nz=0}
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-150737	祈福	65536	31048	3	{v=1}
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-150739	官署	65536	23448	3	{n=0}
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-150743	疑问词	65536	164680	3	{n=0}
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-150748	藻类植	121460	162497	1	null
-150749	藻类植物	65536	150748	3	{l=0}
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-150753	盖棺	102023	30422	1	null
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-150758	蘑菇云	65536	150755	3	{n=0}
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-150941	虚飘飘	65536	212637	3	{z=0}
-150942	虞城县	65536	150945	3	{ns=1}
-150943	虞美人	65536	161121	3	{n=0}
-150944	摆谱	65536	25670	3	{vn=0}
-150945	虞城	129503	34398	2	{ns=0}
-150946	换挡	65536	25442	3	{v=0}
-150947	矮秆	65536	30702	3	{b=2}
-150948	竞渡	65536	31454	3	{v=0}
-150949	系列片	65536	143747	3	{n=5}
-150950	虫吃牙	65536	154588	3	{n=0}
-150951	虫媒花	65536	156267	3	{n=0}
-150952	滚木	65536	28378	3	{n=0}
-150953	实益	65536	23454	3	{n=0}
-150954	山口	65536	23665	3	{n=3, nr=1}
-150955	安息	65536	23433	3	{v=0, vn=0}
-150956	虬曲	125563	34412	1	null
-150957	官职	65536	23448	3	{n=1}
-150958	改天	92460	25913	2	{d=2}
-150959	极大	103361	26497	2	{a=80, ad=7}
-150960	蓝田生	120901	187421	1	null
-150961	粟米	65536	31903	3	{n=0}
-150962	等价物	65536	181103	3	{n=1}
-150963	根特	100555	26681	1	null
-150964	定滑	68701	23450	1	null
-150965	虬曲挺	119799	150956	1	null
-150966	美人鱼	65536	191098	3	{n=10}
-150967	虬曲挺秀	65536	150965	3	{l=1}
-150968	虱子	65536	34417	3	{n=0}
-150969	改头	92465	25913	1	null
-150970	彩陶	85088	24425	2	{n=0}
-150971	瓜葛	65536	29916	3	{n=1}
-150972	虹口区	65536	151044	3	{ns=1}
-150973	虹吸现象	65536	150978	3	{l=0}
-150974	大堤	65536	22823	3	{n=3}
-150975	热电阻	65536	192066	3	{n=0}
-150976	药剂师	65536	199438	3	{n=0}
-150977	虹膜炎	65536	162749	3	{n=0}
-150978	虹吸现	115036	151129	1	null
-150979	虹鳟鱼	65536	169728	3	{n=0}
-150980	虽死犹	121006	157482	1	null
-150981	汇业	65536	27719	3	{nz=0}
-150982	狗头	113262	29399	2	{n=0}
-150983	活动阵	107119	173543	1	null
-150984	虽则	65536	34429	3	{c=0}
-150985	生死观	65536	195988	3	{n=0}
-150986	大堰	71990	22823	1	null
-150987	抗干	90130	25239	1	null
-150988	良性肿	118030	182165	1	null
-150989	虽死犹生	65536	150980	3	{i=0}
-150990	祭拜	65536	31085	3	{v=0}
-150991	薪俸	65536	34218	3	{n=0}
-150992	虾兵蟹	127439	151918	1	null
-150993	狭谷	65536	29421	3	{n=1}
-150994	布艺	65536	24067	3	{n=0}
-150995	草木皆	128530	207078	1	null
-150996	班子	65536	29677	3	{n=46}
-150997	虾兵蟹将	65536	150992	3	{i=0}
-150998	虾子镇	65536	154441	3	{ns=0}
-150999	支前	65536	25903	3	{v=1, vn=1}
-151000	蚀刻	65536	34432	3	{v=0}
-151001	艾尔	122364	33406	1	null
-151002	蚂蟥钉	65536	151377	3	{n=0}
-151003	汇丰	65536	27719	3	{nz=8}
-151004	策略	117896	31574	2	{n=19}
-151005	杀灭	65536	26432	3	{v=3}
-151006	灾难	65536	28798	3	{n=11}
-151007	蚌埠市	65536	151009	3	{ns=1}
-151008	滚杠	65536	28378	3	{n=0}
-151009	蚌埠	126941	34444	2	{ns=1}
-151010	蚍蜉	125224	34445	2	{n=0}
-151011	换换	65536	25442	3	{v=2}
-151012	蚍蜉撼	124373	151010	1	null
-151013	莱姆	119665	33713	1	null
-151014	蚍蜉撼树	65536	151012	3	{i=0}
-151015	家法	65536	23478	3	{n=0}
-151016	蚕宝宝	65536	158254	3	{n=0}
-151017	蚕蛹油	65536	169354	3	{n=0}
-151018	经销点	65536	208636	3	{n=0}
-151019	蚕食鲸	129486	173936	1	null
-151020	蚕食鲸吞	65536	151019	3	{i=0}
-151021	蚂蚁	65536	34434	3	{n=0}
-151022	斯马	89939	26031	1	null
-151023	蚜虫	65536	34460	3	{n=0}
-151024	蓄发	65536	33988	3	{v=0}
-151025	粤海	65536	31908	3	{n=1, nz=2}
-151026	大塘	65536	22823	3	{ns=0}
-151027	洪大	65536	27946	3	{a=0}
-151028	天壤	80535	22825	2	{n=0}
-151029	蚊子	65536	34442	3	{n=0}
-151030	蚝油	65536	34461	3	{n=0}
-151031	晋职	65536	26187	3	{v=0}
-151032	第一版	65536	141874	3	{n=0}
-151033	索桥	65536	32034	3	{n=0}
-151034	蒸发	128249	33976	2	{v=0, vn=0}
-151035	天士	79438	22825	1	null
-151036	蚩尤	127509	34473	1	null
-151037	蚩尤寨	65536	151036	3	{ns=0}
-151038	征购	79279	24449	2	{v=0, vn=3}
-151039	甬路	65536	29996	3	{n=1}
-151040	蚯蚓	65536	34479	3	{n=0}
-151041	蚰蜒	117436	34480	2	{n=0}
-151042	引河	65536	24341	3	{n=0}
-151043	浑水	104011	27985	1	null
-151044	虹口	129666	34425	2	{ns=2}
-151045	蚰蜒草	65536	151041	3	{n=0}
-151046	若即	115508	33509	1	null
-151047	生活观	65536	196436	3	{n=1}
-151048	数得	88018	25968	1	null
-151049	蚱蜢	65536	34481	3	{n=0}
-151050	猎杀	65536	29454	3	{v=3}
-151051	罗圈腿	65536	192587	3	{n=0}
-151052	盲棋	65536	30450	3	{n=0}
-151053	瞬时速	114546	143843	1	null
-151054	蚶子	65536	34486	3	{n=0}
-151055	当儿	65536	24403	3	{n=1}
-151056	学社	65536	23398	3	{n=0}
-151057	女篮	65674	22899	2	{j=0, n=7}
-151058	湘赣	65536	28248	3	{j=0}
-151059	腐儒	65536	33104	3	{n=0}
-151060	蛀心虫	65536	151061	3	{n=0}
-151061	蛀心	116649	34496	1	null
-151062	篱笆	65536	31729	3	{n=1}
-151063	蛆虫	65536	34502	3	{n=0}
-151064	并驾	68722	24182	1	null
-151065	爆发音	65536	134587	3	{n=0}
-151066	蛇根草	65536	161196	3	{n=0}
-151067	蛇纹石	65536	166956	3	{n=0}
-151068	管理区	65536	197816	3	{n=2}
-151069	蚂蚱	65536	34434	3	{n=0}
-151070	蛊惑	130917	34506	2	{v=0, vn=0}
-151071	蛊惑人	126558	151070	1	null
-151072	蒲公	116831	33970	1	null
-151073	蛊惑人心	65536	151071	3	{i=0}
-151074	年均	88840	24180	2	{a=0, j=29, v=1}
-151075	蛋彩画	65536	159611	3	{n=0}
-151076	绰源	65536	32496	3	{ns=0}
-151077	蛋炒饭	65536	164004	3	{n=0}
-151078	天外	74209	22825	1	null
-151079	蛋青画	65536	173924	3	{n=0}
-151080	蛋黄粉	65536	175830	3	{n=0}
-151081	煽风	104269	29053	1	null
-151082	琴谱	65536	29748	3	{n=0}
-151083	疑惑	65536	30097	3	{an=0, n=0, v=4, vn=1}
-151084	蛐蛐	65536	34512	3	{n=2}
-151085	格格	104691	26684	1	null
-151086	浑江	65536	27985	3	{ns=0}
-151087	狐群	104739	29392	1	null
-151088	炮声	65536	28846	3	{n=0}
-151089	虾丸	65536	34430	3	{n=0}
-151090	抽气	89258	25277	1	null
-151091	蛔虫	120951	34516	2	{n=0}
-151092	蛏子	65536	34511	3	{n=0}
-151093	脏字	65536	33039	3	{n=0}
-151094	绳梯	65536	32499	3	{n=0}
-151095	天大	65536	22825	3	{j=0, nz=0}
-151096	大增	65536	22823	3	{v=1}
-151097	天天	65536	22825	3	{d=0, n=2, q=21}
-151098	猥辞	65536	29477	3	{n=0}
-151099	胖小	123368	32982	1	null
-151100	蛔虫病	65536	151091	3	{n=0}
-151101	蛛丝马	114245	151104	1	null
-151102	蛛丝马迹	65536	151101	3	{i=1}
-151103	蛙人	65536	34521	3	{n=0}
-151104	蛛丝	111569	34523	1	null
-151105	疑惧	65536	30097	3	{v=0}
-151106	蛟河	127042	34527	1	null
-151107	脂粉	119358	33026	2	{n=0}
-151108	蛟河市	65536	151106	3	{ns=0}
-151109	当兵	65536	24403	3	{n=0, v=7, vn=0}
-151110	蛟龙得	123413	164136	1	null
-151111	社会主	119812	151774	1	null
-151112	粘液	65536	31896	3	{n=0}
-151113	蛟龙得水	65536	151110	3	{i=0}
-151114	蚁后	65536	34433	3	{n=0}
-151115	探望	65536	25506	3	{v=9, vn=0}
-151116	纠正	65536	32416	3	{v=36, vn=8}
-151117	蛤蟆镜	65536	151413	3	{n=0}
-151118	注目	97948	27880	2	{v=3, vn=1}
-151119	早上	65536	26089	3	{t=12}
-151120	罢工	65536	32610	3	{v=1, vn=0}
-151121	胶州湾	65536	172183	3	{ns=0}
-151122	抽水	89260	25277	2	{v=0, vn=0}
-151123	山和	84157	23665	1	null
-151124	羚角	65536	32666	3	{n=1}
-151125	脉息	65536	33033	3	{n=0}
-151126	蛤蚧	65536	34532	3	{n=0}
-151127	蛮不讲	121426	151166	1	null
-151128	蛮不讲理	65536	151127	3	{l=0}
-151129	虹吸	121362	34425	2	{b=0}
-151130	百花莲	65536	195210	3	{n=2}
-151131	浑沌	109765	27985	1	null
-151132	蛮横无	121433	158363	1	null
-151133	碧澄	111071	30887	1	null
-151134	官能	83083	23448	2	{n=0}
-151135	蛮横无理	65536	151132	3	{i=0}
-151136	蛰伏	65536	34544	3	{v=0}
-151137	爽身	101623	29245	1	null
-151138	彩霞	65536	24425	3	{n=0, nt=0}
-151139	蛲虫	65536	34546	3	{n=0}
-151140	蜀犬吠	125057	160506	1	null
-151141	芜湖市	65536	150321	3	{ns=0}
-151142	蜀犬吠日	65536	151140	3	{i=0}
-151143	蛾子	65536	34558	3	{n=0}
-151144	蜂巢胃	65536	162011	3	{n=0}
-151145	蜂拥而	131174	163294	1	null
-151146	蜂皇精	65536	168320	3	{n=0}
-151147	蛋白尿	65536	165519	3	{n=0}
-151148	汇仁	65536	27719	3	{nz=0}
-151149	罢市	65536	32610	3	{v=0, vn=0}
-151150	蚂蜂	65536	34434	3	{n=0}
-151151	蜂王浆	65536	167556	3	{n=1}
-151152	蜂拥而上	65536	151145	3	{i=1}
-151153	滚柱	94729	28378	1	null
-151154	绥德	65536	32485	3	{ns=3}
-151155	瓜蔓	65536	29916	3	{n=0}
-151156	猎枪	65536	29454	3	{n=1}
-151157	子鸡	65536	23376	3	{n=0}
-151158	蜂窝煤	65536	169366	3	{n=0}
-151159	蜂鸣器	65536	178460	3	{n=0}
-151160	蜃景	65536	34563	3	{n=0}
-151161	抗张	90954	25239	1	null
-151162	烹饪	105075	28921	2	{n=1, v=2, vn=0}
-151163	蜀中	65536	34560	3	{ns=1}
-151164	蜈蚣	117556	34568	2	{n=0}
-151165	蜈蚣草	65536	151164	3	{n=0}
-151166	蛮不	115365	34542	1	null
-151167	蜉蝣	65536	34569	3	{n=0}
-151168	蜕化变	115036	151175	1	null
-151169	老虎机	65536	219823	3	{n=3}
-151170	浑河	65536	27985	3	{ns=1}
-151171	天女	74635	22825	2	{n=0}
-151172	蜕化变质	65536	151168	3	{i=0}
-151173	蜗行牛	123681	162459	1	null
-151174	蜗行牛步	65536	151173	3	{i=0}
-151175	蜕化	129704	34581	2	{v=1}
-151176	标准舞	65536	149778	3	{n=2}
-151177	缴枪	65536	32564	3	{v=0}
-151178	大声	69676	22823	2	{ad=0, d=10, n=0}
-151179	断口	65536	26029	3	{n=0}
-151180	蜘蛛	125917	34584	2	{n=0}
-151181	断句	65536	26029	3	{v=0}
-151182	蜘蛛抱	116678	151180	1	null
-151183	联系户	65536	207978	3	{n=2}
-151184	引流	65536	24341	3	{v=0}
-151185	蜘蛛抱蛋	65536	151182	3	{l=0}
-151186	电唱针	65536	190838	3	{n=0}
-151187	蜚声	65536	34586	3	{v=0}
-151188	蜗居	65536	34583	3	{n=0, v=0}
-151189	蜜丸子	65536	158323	3	{n=0}
-151190	蜜里调	123359	175623	1	null
-151191	猛将	65536	29467	3	{n=1}
-151192	蜜里调油	65536	151190	3	{i=0}
-151193	汗疹	65536	27735	3	{n=0}
-151194	舍生忘	120607	185587	1	null
-151195	继嗣	65536	32487	3	{n=0, v=0}
-151196	蜡人馆	65536	172171	3	{n=0}
-151197	蜡像馆	65536	172704	3	{n=0}
-151198	大处	69295	22823	1	null
-151199	蜡光纸	65536	172826	3	{n=0}
-151200	筛网	65536	31579	3	{n=0}
-151201	蜡嘴雀	65536	174085	3	{n=0}
-151202	汇价	65536	27719	3	{n=7}
-151203	学科	70906	23398	2	{n=64}
-151204	盟约	65536	30431	3	{n=0}
-151205	市话	85051	24066	2	{j=3}
-151206	精明能	118383	199385	1	null
-151207	蜡渣子	65536	180212	3	{n=0}
-151208	腿法	65536	33151	3	{n=0}
-151209	蜡炬成	122427	180861	1	null
-151210	签收	65536	31614	3	{v=0}
-151211	蜡炬成灰	123331	151209	1	null
-151212	安慰	68774	23433	2	{a=0, an=0, v=2, vd=0, vn=0}
-151213	蜡炬成灰泪	128227	151211	1	null
-151214	蜡炬成灰泪始	127037	151213	1	null
-151215	蜡炬成灰泪始干	65536	151214	3	{i=0}
-151216	滴虫	101518	28404	2	{n=0}
-151217	蜡笔画	65536	183525	3	{n=0}
-151218	急救	91334	24613	2	{v=1, vn=3}
-151219	硫胺	107438	30827	1	null
-151220	大多	73858	22823	2	{d=25, m=13}
-151221	官腔	65536	23448	3	{n=0}
-151222	断后	65536	26029	3	{v=1}
-151223	畅谈	65536	30021	3	{v=5, vn=0}
-151224	蜣螂	65536	34595	3	{n=0}
-151225	蛤蜊	65536	34532	3	{n=0}
-151226	虾仁	65536	34430	3	{n=1}
-151227	蜥脚	119361	34597	1	null
-151228	蜥脚类	65536	151227	3	{n=2}
-151229	蜻蜓	122381	34619	2	{n=0}
-151230	砖石	65536	30742	3	{n=3}
-151231	溜达	65536	28316	3	{v=0}
-151232	蜷伏	65536	34615	3	{v=0}
-151233	大大	78377	22823	2	{a=1, d=85, z=1}
-151234	地衣	65536	22320	3	{n=0}
-151235	大天	69505	22823	1	null
-151236	归谬	83000	24402	1	null
-151237	大夫	65536	22823	3	{n=17}
-151238	蜻蜓点	123541	151229	1	null
-151239	地表	69470	22320	2	{n=4}
-151240	灭音	110215	28781	1	null
-151241	蜻蜓点水	65536	151238	3	{i=2}
-151242	淡巴	106336	28129	1	null
-151243	大失	74688	22823	1	null
-151244	甄选	65536	29956	3	{v=0}
-151245	蜾蠃	65536	34622	3	{n=0}
-151246	大头	66336	22823	2	{n=1}
-151247	玫瑰露	65536	134786	3	{n=0}
-151248	蜿蜒	65536	34623	3	{v=0, z=6}
-151249	投手	65536	25237	3	{n=0}
-151250	肛裂	65536	32923	3	{n=0}
-151251	蝇头小利	65536	151256	3	{i=0, v=0}
-151252	蝇头微利	65536	152183	3	{i=0}
-151253	竖琴	65536	31446	3	{n=0}
-151254	端丽	65536	31471	3	{a=0}
-151255	抽油	86793	25277	1	null
-151256	蝇头小	130218	151490	1	null
-151257	置换	65536	32622	3	{v=0, vn=1}
-151258	管理司	65536	197816	3	{n=0}
-151259	结核菌	111924	199080	2	{n=0}
-151260	干事	88766	24178	2	{n=4, v=0}
-151261	灶马	65536	28790	3	{n=0}
-151262	艰巨	123688	33392	2	{a=49, an=1}
-151263	蝇粪点	121690	160568	1	null
-151264	普拉	101323	26222	1	null
-151265	浑洒	96479	27985	1	null
-151266	干云	74906	24178	1	null
-151267	蝇粪点玉	65536	151263	3	{i=0}
-151268	蝇营狗	117766	162483	1	null
-151269	蝇营狗苟	65536	151268	3	{i=0}
-151270	蝈蝈	65536	34632	3	{n=0}
-151271	权门	65536	26435	3	{n=0}
-151272	耻辱	65536	32827	3	{n=2}
-151273	舟桥	65536	33311	3	{n=0}
-151274	蝌蚪	65536	34636	3	{n=0}
-151275	组织奖	65536	172048	3	{n=1}
-151276	早产	99793	26089	2	{v=0, vn=1}
-151277	当初	65536	24403	3	{t=17}
-151278	蝎子草	65536	151281	3	{n=0}
-151279	烫面	65536	28907	3	{n=0}
-151280	大奖	65646	22823	2	{n=4}
-151281	蝎子	117669	34638	2	{n=0}
-151282	芸豆	65536	33464	3	{n=0}
-151283	混淆黑	100285	148034	1	null
-151284	蚌壳	65536	34444	3	{n=0}
-151285	纱灯	65536	32433	3	{n=0}
-151286	蝙蝠	116364	34649	2	{n=0}
-151287	蝙蝠衫	65536	151286	3	{n=0}
-151288	复音	65791	22797	2	{n=0}
-151289	头陀	65536	22836	3	{n=0}
-151290	抗御	65536	25239	3	{v=2, vn=0}
-151291	蝮蛇	65536	34670	3	{n=0}
-151292	蝰蛇	65536	34672	3	{n=0}
-151293	蝴蝶	125804	34676	2	{n=2}
-151294	蝶形花	65536	152140	3	{n=0}
-151295	失而	78199	22833	1	null
-151296	蝻子	65536	34683	3	{n=0}
-151297	抽泣	92923	25277	2	{v=1}
-151298	蝉翼	65536	34633	3	{n=0}
-151299	干亲	85544	24178	2	{n=0}
-151300	蝼蚁	65536	34684	3	{n=0}
-151301	蝾螈	65536	34686	3	{n=0}
-151302	名额	65536	21517	3	{n=7}
-151303	螃蟹	65536	34691	3	{n=1}
-151304	活动靶	65536	173543	3	{n=0}
-151305	布莱	85979	24067	1	null
-151306	累人	65536	32047	3	{a=0}
-151307	绳之以法	65536	144270	3	{i=1}
-151308	献艺	65536	29486	3	{v=7}
-151309	融为一	131003	152049	1	null
-151310	融为一体	65536	151309	3	{l=9}
-151311	天姿	78327	22825	1	null
-151312	融会贯	114424	152273	1	null
-151313	干什	88987	24178	1	null
-151314	融会贯通	65536	151312	3	{i=1}
-151315	融汇贯	114426	159742	1	null
-151316	融汇贯通	65536	151315	3	{i=0}
-151317	探查	65536	25506	3	{v=2, vn=0}
-151318	汽锤	65536	27773	3	{n=0}
-151319	大好	72018	22823	2	{a=12}
-151320	浅成	105923	27973	1	null
-151321	浑浊	65536	27985	3	{a=1, an=0}
-151322	融资券	65536	168187	3	{n=1}
-151323	螟害	65536	34719	3	{n=0}
-151324	究竟	65536	31350	3	{d=37, n=0}
-151325	当前	65536	24403	3	{t=198}
-151326	螳臂当	114622	151329	1	null
-151327	指出	65536	25351	3	{v=504}
-151328	浑浑	107628	27985	1	null
-151329	螳臂	126923	34739	1	null
-151330	大妈	65536	22823	3	{n=7}
-151331	翁牛	115920	32705	1	null
-151332	螳臂当车	65536	151326	3	{i=0}
-151333	精雕细琢	65536	142648	3	{i=2}
-151334	螺丝起子	65536	166869	3	{l=0}
-151335	螺线管	65536	165341	3	{n=0}
-151336	蟋蟀	117728	34763	2	{n=3}
-151337	蟋蟀草	65536	151336	3	{n=0}
-151338	耍手腕	65536	162083	3	{l=0}
-151339	翠绿	111881	32736	2	{z=6}
-151340	检验	104229	26816	2	{j=0, v=21, vn=15}
-151341	蟑螂	65536	34769	3	{n=0}
-151342	结晶水	65536	198630	3	{n=0}
-151343	蟠桃	65536	34784	3	{n=0}
-151344	蟒山	65536	34770	3	{ns=0}
-151345	脂肪酶	65536	152164	3	{n=0}
-151346	工团	88147	24037	1	null
-151347	脂肪酸	65536	152164	3	{n=6}
-151348	禽类	65536	31165	3	{n=0}
-151349	纤维蛋	113009	156771	1	null
-151350	焊痕	65536	28938	3	{n=0}
-151351	蟹肉	65536	34809	3	{n=0}
-151352	蟾光	65536	34814	3	{n=0}
-151353	蠓虫	65536	34835	3	{n=0}
-151354	管理员	65536	197816	3	{n=2, nr=0}
-151355	蠕形动	122067	154628	1	null
-151356	蠕形动物	65536	151355	3	{l=0}
-151357	电视网	65536	204299	3	{n=3}
-151358	蠢蠢欲	130202	166257	1	null
-151359	失职	68381	22833	2	{v=2, vn=2}
-151360	织物	65536	32455	3	{n=0}
-151361	螺旋体	65536	158953	3	{n=0}
-151362	蠢蠢欲动	65536	151358	3	{i=1}
-151363	献花	65536	29486	3	{v=0}
-151364	苟全	124377	33503	2	{v=0}
-151365	晚礼	95006	26202	1	null
-151366	改嫁	65536	25913	3	{v=2, vn=0}
-151367	蝼蛄	65536	34684	3	{n=0}
-151368	学究	75941	23398	2	{n=0}
-151369	蜕变	65536	34581	3	{v=5, vn=1}
-151370	蠕动	65536	34837	3	{v=0}
-151371	灭顶	112293	28781	1	null
-151372	略加	115863	30053	1	null
-151373	强巴	72320	24378	1	null
-151374	紧身衣	65536	173147	3	{n=1}
-151375	权限	65536	26435	3	{n=27}
-151376	蠹虫	65536	34873	3	{n=0}
-151377	蚂蟥	112977	34434	2	{n=1}
-151378	蝗害	65536	34647	3	{n=0}
-151379	投拍	65536	25237	3	{v=1, vn=1}
-151380	市貌	65536	24066	3	{n=1}
-151381	蒙古包	65536	181832	3	{n=1}
-151382	紧急灯	65536	161237	3	{n=1}
-151383	茶余饭	127793	198827	1	null
-151384	血丝乎	126098	201406	1	null
-151385	散瞳	84804	25955	1	null
-151386	蝉联	65536	34633	3	{v=4}
-151387	血丝乎拉	65536	151384	3	{z=0}
-151388	血丝虫病	65536	165749	3	{l=0}
-151389	失聪	68227	22833	2	{v=0}
-151390	血压计	65536	202796	3	{n=0}
-151391	罪大	120218	32618	1	null
-151392	支取	65536	25903	3	{v=1, vn=0}
-151393	耗子	112214	32791	2	{n=3}
-151394	干休	83876	24178	1	null
-151395	示范户	65536	153264	3	{n=4}
-151396	好玩	81175	22909	2	{a=1}
-151397	蔫不唧	65536	150681	3	{z=0}
-151398	血友病	65536	202860	3	{n=1}
-151399	血口喷	131246	202884	1	null
-151400	血口喷人	65536	151399	3	{i=0}
-151401	血吸虫	65536	202969	3	{n=5}
-151402	大姐	65536	22823	3	{n=15}
-151403	大姑	76787	22823	2	{n=3}
-151404	血小板	65536	204976	3	{n=0}
-151405	大姓	65536	22823	3	{n=0}
-151406	血常规	65536	205529	3	{n=0}
-151407	血循环	65536	205899	3	{n=0}
-151408	引渡	65536	24341	3	{v=2, vn=0}
-151409	当务	90857	24403	1	null
-151410	永不	65536	27704	3	{d=11}
-151411	血性汉	128039	206024	1	null
-151412	子鼠	65536	23376	3	{t=0}
-151413	蛤蟆	112881	34532	2	{n=0}
-151414	添麻	101750	28155	1	null
-151415	血性汉子	65536	151411	3	{l=0}
-151416	舱室	65536	33329	3	{n=0}
-151417	年增	71110	24180	1	null
-151418	头雁	65536	22836	3	{n=1}
-151419	永世	89366	27704	2	{d=1}
-151420	血本无	127019	207821	1	null
-151421	血本无归	65536	151420	3	{l=1}
-151422	建莲	65536	24314	3	{n=2}
-151423	脆弱	122414	33030	2	{a=17, an=1}
-151424	工地	65536	24037	3	{n=32}
-151425	血枯病	65536	207952	3	{n=0}
-151426	大姨	76476	22823	2	{n=0}
-151427	疏不	98021	30095	1	null
-151428	血气方	130417	209077	1	null
-151429	蝶岛	65536	34678	3	{n=0}
-151430	玉米饼	65536	187573	3	{n=1}
-151431	桑葚	65536	26705	3	{n=0}
-151432	微细	65536	24494	3	{a=0}
-151433	狭路	103922	29421	1	null
-151434	工场	65536	24037	3	{n=0}
-151435	血气方刚	65536	151428	3	{i=0}
-151436	血汗钱	65536	209144	3	{n=2}
-151437	血泪史	65536	209291	3	{n=0}
-151438	目的论	65536	166661	3	{n=0}
-151439	缴械	65536	32564	3	{v=0, vn=0}
-151440	血流如注	65536	151447	3	{i=0}
-151441	血流成河	65536	153637	3	{i=0}
-151442	永中	65536	27704	3	{nz=0}
-151443	血海深	131279	209432	1	null
-151444	桂花	87553	26690	2	{n=3, nz=0}
-151445	永丰	106205	27704	2	{ns=0}
-151446	血海深仇	65536	151443	3	{i=0}
-151447	血流如	123560	209378	1	null
-151448	笼络	65536	31548	3	{v=0}
-151449	血液学	65536	209491	3	{n=0}
-151450	血淋淋	65536	209516	3	{z=1}
-151451	笼统	65536	31548	3	{a=2, ad=1}
-151452	定点	65536	23450	3	{b=0, d=10, n=4, v=1}
-151453	茂密	65536	33538	3	{a=4, ad=0}
-151454	绝无此	119274	197690	1	null
-151455	空间结	114751	210566	1	null
-151456	血清病	65536	209574	3	{n=0}
-151457	血糊糊	65536	213355	3	{z=0}
-151458	血红蛋白	65536	153936	3	{l=0}
-151459	血细胞	65536	213863	3	{n=0}
-151460	胪溪	65536	33002	3	{ns=0}
-151461	血红素	65536	213827	3	{n=0}
-151462	血统工人	65536	151463	3	{l=0}
-151463	血统工	131308	213888	1	null
-151464	血肉横飞	65536	151480	3	{i=0}
-151465	稻子	65536	31291	3	{n=2}
-151466	永久	103032	27704	2	{b=6, d=2, nz=2}
-151467	血肉相联	65536	154758	3	{i=0}
-151468	立体片	65536	187868	3	{n=0}
-151469	血脉相	114585	214442	1	null
-151470	犬齿	65536	29356	3	{n=0}
-151471	国运	65536	22269	3	{n=0}
-151472	盗打	65536	30423	3	{v=0}
-151473	故而	65536	25925	3	{c=3}
-151474	大娘	65536	22823	3	{n=4}
-151475	血脉相通	65536	151469	3	{i=0}
-151476	粒细	109409	31890	1	null
-151477	永乐	107586	27704	2	{ns=0, nz=1, t=0}
-151478	耽搁	65536	32829	3	{v=2}
-151479	学童	65536	23398	3	{n=3}
-151480	血肉横	112330	214314	1	null
-151481	蒲包	65536	33970	3	{n=1}
-151482	血腥气	65536	214534	3	{n=0}
-151483	血色素	65536	214803	3	{n=0}
-151484	折磨	65536	25240	3	{v=0, vn=0}
-151485	汇倒	65536	27719	3	{n=0}
-151486	好球	65536	22909	3	{n=0}
-151487	血雨腥	112371	220041	1	null
-151488	蓝点鲅	65536	186278	3	{n=0}
-151489	血雨腥风	65536	151487	3	{i=1}
-151490	蝇头	127689	34631	1	null
-151491	聪明才	120049	147503	1	null
-151492	租方	65536	31199	3	{n=0}
-151493	血青素	65536	220147	3	{n=0}
-151494	秉笔	109945	31177	2	{v=1}
-151495	行不通	65536	206229	3	{v=5}
-151496	支吾	96951	25903	2	{v=1}
-151497	花园式	65536	209015	3	{b=4, n=0}
-151498	行业管	121798	206242	1	null
-151499	科技界	65536	188514	3	{n=9}
-151500	行业管理	115348	151498	1	null
-151501	行业管理费	65536	151500	3	{n=1}
-151502	行为人	65536	206274	3	{n=2}
-151503	行之有	125576	206291	1	null
-151504	行之有效	65536	151503	3	{i=13}
-151505	行云流	123806	206361	1	null
-151506	行云流水	65536	151505	3	{i=1}
-151507	行军壶	65536	207139	3	{n=0}
-151508	晚秋	101072	26202	2	{t=0}
-151509	烦躁	65536	28902	3	{a=1}
-151510	安抚	65536	23433	3	{v=1, vn=1}
-151511	外祖	71675	22806	1	null
-151512	行列式	65536	207263	3	{n=0}
-151513	行唐县	65536	208024	3	{ns=1}
-151514	蠢事	65536	34850	3	{n=0}
-151515	急智	65536	24613	3	{n=0}
-151516	行善积	127015	208140	1	null
-151517	珠蚌	65536	29664	3	{n=0}
-151518	行善积德	65536	151516	3	{l=0}
-151519	行家话	65536	209726	3	{n=0}
-151520	易门	65536	26131	3	{n=0}
-151521	老年斑	65536	209621	3	{n=0}
-151522	种子粮	65536	175366	3	{n=0}
-151523	苇塘	65536	33479	3	{n=0}
-151524	稳操胜算	65536	149879	3	{i=0}
-151525	地覆	74346	22320	1	null
-151526	行家里手	65536	153038	3	{i=3, n=0}
-151527	行尸走	118625	209856	1	null
-151528	年复	89419	24180	1	null
-151529	社会保	101364	151774	1	null
-151530	行尸走肉	65536	151527	3	{i=0}
-151531	直立茎	65536	192289	3	{n=0}
-151532	行得通	65536	210719	3	{v=0}
-151533	笛膜	65536	31515	3	{n=0}
-151534	行情表	65536	211021	3	{n=0}
-151535	舟楫	65536	33311	3	{n=0}
-151536	筹款	65536	31609	3	{v=1, vn=2}
-151537	安抵	65536	23433	3	{v=0}
-151538	行成于	126935	211352	1	null
-151539	石灰质	65536	199317	3	{n=0}
-151540	行成于思	65536	151538	3	{i=0}
-151541	行政公署	65536	152729	3	{n=0}
-151542	行政处罚法	65536	163152	3	{n=4}
-151543	年夜	70112	24180	1	null
-151544	行政区划	65536	153191	3	{n=2}
-151545	外祸	65536	22806	3	{n=0}
-151546	寒蝉	65536	23506	3	{n=0}
-151547	山嘴	65536	23665	3	{n=0}
-151548	行政处分	65536	154673	3	{l=8, n=0}
-151549	行政诉讼	123689	167670	2	{l=2}
-151550	行政诉讼法	65536	151549	3	{n=1}
-151551	强度	65536	24378	3	{n=14}
-151552	电动车	65536	190189	3	{n=0}
-151553	行政部门	65536	168981	3	{n=23}
-151554	行方便	65536	212289	3	{v=0}
-151555	用户量	65536	186950	3	{n=1}
-151556	疏于	65536	30095	3	{p=0, v=1}
-151557	苟利	126730	33503	1	null
-151558	行程表	65536	217491	3	{n=0}
-151559	行色匆	130308	219642	1	null
-151560	换文	65536	25442	3	{n=0, vn=2}
-151561	蠢人	65536	34850	3	{n=0}
-151562	行色匆匆	65536	151559	3	{i=1}
-151563	行若无	131457	219757	1	null
-151564	行若无事	65536	151563	3	{i=0}
-151565	自治州	65536	213995	3	{n=29}
-151566	潜望	93678	28508	1	null
-151567	年头	65536	24180	3	{n=16}
-151568	大婶	65536	22823	3	{n=0}
-151569	行莫厚	131460	219955	1	null
-151570	行莫厚于	131523	151569	1	null
-151571	行莫厚于乐	123907	151570	1	null
-151572	行莫厚于乐民	65536	151571	3	{l=1, n=0}
-151573	芒市	65536	33426	3	{ns=0}
-151574	类义	106528	31867	1	null
-151575	腐化	65536	33104	3	{a=0, v=2}
-151576	行行出	122215	221140	1	null
-151577	定然	65536	23450	3	{d=0}
-151578	换料	65536	25442	3	{v=2}
-151579	头面	80892	22836	2	{n=0}
-151580	景遇	65536	26223	3	{n=0}
-151581	行行出状	130779	151576	1	null
-151582	行行出状元	65536	151581	3	{i=1, n=0}
-151583	萎蔫	65536	33806	3	{v=1}
-151584	行车执	122554	222958	1	null
-151585	行车执照	65536	151584	3	{l=0}
-151586	行道树	65536	223195	3	{n=0}
-151587	行酒令	65536	223450	3	{v=0}
-151588	广水	85551	24191	2	{ns=1}
-151589	笼罩	65536	31548	3	{v=8, vn=1}
-151590	星云	65536	26143	3	{n=5}
-151591	衍生物	65536	160305	3	{n=0}
-151592	衍化	65536	34893	3	{v=1, vn=0}
-151593	衔命持	118186	152340	1	null
-151594	惊疑	65536	24778	3	{a=0}
-151595	玉山闸	65536	179379	3	{n=0}
-151596	衔命持节	65536	151593	3	{i=0}
-151597	荣誉奖	65536	177533	3	{n=3}
-151598	街垒战	65536	168986	3	{n=0}
-151599	苯基	65536	33519	3	{n=0}
-151600	祸国	112659	31096	1	null
-151601	地角	74349	22320	2	{n=0}
-151602	国道	65536	22269	3	{n=21}
-151603	类书	65536	31867	3	{n=0}
-151604	街头巷尾	65536	154577	3	{i=0}
-151605	街巷战	65536	170623	3	{n=2}
-151606	盐酸金	116700	175568	1	null
-151607	羽毛未	125200	154731	1	null
-151608	节节败	111600	207432	1	null
-151609	广汉	85554	24191	2	{ns=3}
-151610	街谈巷	115854	182416	1	null
-151611	衔冤	65536	34900	3	{v=0}
-151612	街谈巷议	65536	151610	3	{i=0}
-151613	投掷	65536	25237	3	{v=1}
-151614	如醉	79183	22914	1	null
-151615	营业厅	65536	168703	3	{n=2}
-151616	衙内	65536	34905	3	{n=0}
-151617	街头剧	65536	169404	3	{n=0}
-151618	衡南县	65536	151777	3	{ns=2}
-151619	当即	65536	24403	3	{d=23}
-151620	晚稻	65536	26202	3	{n=2}
-151621	潮气	65536	28526	3	{n=0}
-151622	衡山县	65536	154107	3	{ns=0}
-151623	衡水市	65536	158142	3	{ns=1}
-151624	衡阳市	65536	168893	3	{ns=9}
-151625	衣不蔽	131319	186376	1	null
-151626	衣不蔽体	65536	151625	3	{i=0}
-151627	自动应	116008	207320	1	null
-151628	舒展	65536	33298	3	{a=1, an=0, v=4}
-151629	衢县	65536	34914	3	{ns=0}
-151630	耗尽	65536	32791	3	{v=2}
-151631	耀武	120198	32768	1	null
-151632	行李卷	65536	212694	3	{n=0}
-151633	激增	65536	28608	3	{v=5}
-151634	外科	65536	22806	3	{n=12}
-151635	衣冠楚楚	65536	157714	3	{i=0}
-151636	极富	65536	26497	3	{v=1}
-151637	狐臊	65536	29392	3	{n=0}
-151638	衣冠禽兽	65536	161909	3	{i=0}
-151639	缺心眼	123887	168471	1	null
-151640	衣钵相	131396	204464	1	null
-151641	外秘	66785	22806	2	{j=3}
-151642	衣冠冢	65536	187291	3	{n=0}
-151643	结合点	65536	193912	3	{n=9}
-151644	大嫂	65536	22823	3	{n=1}
-151645	爬高	65536	29228	3	{v=0}
-151646	螺丝刀	65536	152891	3	{n=1}
-151647	浑源	108314	27985	2	{ns=0}
-151648	天子	65536	22825	3	{n=0}
-151649	芥末	65536	33445	3	{n=1}
-151650	美洲豹	65536	198898	3	{n=0}
-151651	甬道	65536	29996	3	{n=0}
-151652	衣钵相传	65536	151640	3	{i=0}
-151653	潮水	65536	28526	3	{n=1}
-151654	臭名	121828	33261	1	null
-151655	略去	116346	30053	2	{v=0}
-151656	社交	65536	31038	3	{n=2}
-151657	整改	65536	25972	3	{v=9, vn=10}
-151658	著名	65536	33879	3	{a=167}
-151659	根由	65536	26681	3	{n=0}
-151660	衣锦还	131598	204577	1	null
-151661	畸轻	106321	30072	1	null
-151662	挂斗	65536	25346	3	{n=0}
-151663	衣锦还乡	65536	151660	3	{i=0}
-151664	衣帽架	65536	190520	3	{n=0}
-151665	衣食住行	65536	151666	3	{i=4}
-151666	衣食住	116773	205530	1	null
-151667	烘缸	65536	28888	3	{n=0}
-151668	衣食父母	65536	160601	3	{l=3}
-151669	脆性	65536	33030	3	{n=0}
-151670	招灾	91239	25307	2	{v=0}
-151671	补习班	65536	198102	3	{n=0}
-151672	狐臭	65536	29392	3	{n=0}
-151673	祭文	65536	31085	3	{n=0}
-151674	补偏救	127348	198597	1	null
-151675	欢呼	102976	27426	2	{v=6, vn=1}
-151676	指南	79631	25351	2	{n=8}
-151677	硅肺	65536	30789	3	{n=0}
-151678	补偏救弊	65536	151674	3	{i=0}
-151679	如释	65646	22914	1	null
-151680	补偿费	65536	198645	3	{n=1}
-151681	潮汐	65536	28526	3	{n=1}
-151682	强弩	90746	24378	1	null
-151683	补助货币	65536	151713	3	{l=0}
-151684	外稃	65536	22806	3	{n=0}
-151685	补天浴	125603	200863	1	null
-151686	潮汕	65536	28526	3	{ns=1}
-151687	类人	112816	31867	1	null
-151688	补天浴日	65536	151685	3	{i=0}
-151689	补血剂	65536	212918	3	{n=0}
-151690	强弱	65536	24378	3	{n=5}
-151691	复馆	65536	22797	3	{v=0}
-151692	潮汛	65536	28526	3	{n=0}
-151693	胰液	65536	33008	3	{n=0}
-151694	泄露	65536	27844	3	{v=7}
-151695	枪炮	65536	26538	3	{n=0}
-151696	莱山	65536	33713	3	{ns=0}
-151697	补贴款	65536	214186	3	{n=1}
-151698	补给品	65536	210511	3	{n=0}
-151699	强强	77942	24378	1	null
-151700	表侄女	65536	197570	3	{n=0}
-151701	指印	65536	25351	3	{n=0}
-151702	表兄弟	65536	198018	3	{n=0}
-151703	天宇	65536	22825	3	{n=2, nr=0, nz=0}
-151704	常绿	82339	24120	1	null
-151705	天安	66033	22825	2	{ns=1, nz=1}
-151706	表妹夫	65536	200183	3	{n=0}
-151707	胰淀	114979	33008	1	null
-151708	表决器	65536	198129	3	{n=0}
-151709	表姊妹	65536	200200	3	{n=0}
-151710	表姑夫	65536	200207	3	{n=0}
-151711	玻璃砖	65536	143711	3	{n=0}
-151712	整数	96216	25972	2	{n=0}
-151713	补助货	127618	199199	1	null
-151714	狼奔	98480	29436	1	null
-151715	表姨夫	65536	200230	3	{n=0}
-151716	整整	77845	25972	2	{b=0, d=16, v=1}
-151717	表姐夫	65536	200206	3	{n=0}
-151718	表彰会	65536	201646	3	{n=5}
-151719	表意文	128337	202061	1	null
-151720	表意文字	65536	151719	3	{l=0}
-151721	表演艺术	128244	164952	1	null
-151722	表演艺术家	65536	151721	3	{n=3}
-151723	引潜	65536	24341	3	{j=1}
-151724	表扬信	65536	202410	3	{n=5}
-151725	表舅妈	65536	210499	3	{n=0}
-151726	淡忘	65536	28129	3	{v=4}
-151727	表现力	65536	206830	3	{n=4}
-151728	承蒙	65536	25215	3	{v=1}
-151729	表蒙子	65536	211159	3	{n=0}
-151730	表里如	131766	214538	1	null
-151731	补助费	65536	199199	3	{n=3}
-151732	彩饰	65536	24425	3	{n=1}
-151733	蚊帐	65536	34442	3	{n=0}
-151734	表里如一	65536	151730	3	{i=0}
-151735	多礼	65536	22810	3	{a=0}
-151736	范县	65536	33539	3	{ns=0}
-151737	硅胶	65536	30789	3	{n=0}
-151738	相对而	102887	195313	1	null
-151739	天宫	65536	22825	3	{n=3}
-151740	表达力	65536	214012	3	{n=0}
-151741	表里山河	65536	152481	3	{i=0}
-151742	萧墙	65536	33831	3	{n=0}
-151743	表面张力	65536	154831	3	{n=0}
-151744	疾走	65536	30142	3	{v=0}
-151745	表面文章	65536	156470	3	{i=7, l=0}
-151746	给水	121809	32473	2	{v=1, vn=1}
-151747	端倪	65536	31471	3	{n=0}
-151748	山国	65536	23665	3	{n=0}
-151749	表面化	65536	215968	3	{v=1}
-151750	票务	65536	31080	3	{n=0}
-151751	衰减性	65536	152654	3	{n=0}
-151752	衰竭性	65536	163180	3	{n=2}
-151753	整料	65536	25972	3	{n=0}
-151754	练习生	65536	154456	3	{n=0}
-151755	广泛	85006	24191	2	{a=98, ad=71, an=1, b=0, d=0}
-151756	臭味	117538	33261	2	{n=0}
-151757	红头蝇	65536	201426	3	{n=0}
-151758	安排	65536	23433	3	{n=0, v=134, vn=40}
-151759	衰颜老	127185	170779	1	null
-151760	狗尾	101670	29399	1	null
-151761	碳素	101625	30899	2	{n=0}
-151762	衰颜老态	65536	151759	3	{l=1}
-151763	狗屁	114184	29399	2	{n=0}
-151764	袅袅娜娜	65536	151790	3	{z=0}
-151765	袅娜	65536	34949	3	{z=1}
-151766	袁头	65536	34945	3	{n=0}
-151767	胁持	65536	32961	3	{v=0}
-151768	袅袅婷婷	65536	151881	3	{i=0}
-151769	多神	73538	22810	1	null
-151770	好生	71992	22909	2	{d=0}
-151771	袅袅绕绕	65536	161191	3	{z=0}
-151772	国都	65536	22269	3	{d=0, n=1}
-151773	摆轮	65536	25670	3	{n=0}
-151774	社会	131084	31038	2	{n=1202}
-151775	袈裟	65536	34952	3	{n=1}
-151776	狗屎	111635	29399	1	null
-151777	衡南	130179	34913	1	null
-151778	天寒	78280	22825	1	null
-151779	摆轴	65536	25670	3	{n=0}
-151780	潮河	65536	28526	3	{ns=0}
-151781	征途	65536	24449	3	{n=4}
-151782	袋泡茶	65536	158859	3	{n=0}
-151783	袍笏登	129459	159914	1	null
-151784	星体	65536	26143	3	{n=0}
-151785	维修点	65536	182914	3	{n=0}
-151786	衍变	65536	34893	3	{v=0}
-151787	袍子	65536	34957	3	{n=0}
-151788	暴客	65536	26292	3	{n=0}
-151789	袍笏登场	65536	151783	3	{i=0}
-151790	袅袅娜	128696	163646	1	null
-151791	袒护	65536	34962	3	{v=1, vn=0}
-151792	袒胸露	118577	159555	1	null
-151793	大字	74601	22823	2	{n=6}
-151794	好男	81177	22909	1	null
-151795	袒胸露臂	65536	151792	3	{i=0}
-151796	袖手旁	116532	157467	1	null
-151797	盗掘	65536	30423	3	{v=0, vn=0}
-151798	袖手旁观	65536	151796	3	{i=3}
-151799	山地	65536	23665	3	{n=16}
-151800	牧地	65536	29287	3	{n=0}
-151801	版纳	65536	29256	3	{ns=0}
-151802	袖珍型	65536	161949	3	{b=0}
-151803	组织学	65536	172048	3	{n=0}
-151804	汇兑	65536	27719	3	{v=2, vn=1}
-151805	蝴蝶斑	65536	151293	3	{n=0}
-151806	激奋	65536	28608	3	{v=0}
-151807	棋类	65536	26827	3	{n=4}
-151808	大学	77328	22823	2	{n=273, nt=0}
-151809	山场	65536	23665	3	{n=1}
-151810	牧场	113655	29287	2	{n=6}
-151811	绷硬	65536	32503	3	{z=0}
-151812	被乘数	65536	170520	3	{n=0}
-151813	被冤枉	119041	171364	1	null
-151814	被冤枉者	65536	151813	3	{n=1}
-151815	电影迷	65536	193462	3	{n=0}
-151816	耙犁	65536	32793	3	{n=0}
-151817	类似	65536	31867	3	{a=13, ad=0, v=19, vn=0}
-151818	多福	65536	22810	3	{nz=0}
-151819	登上	65536	30331	3	{v=2}
-151820	安提	75047	23433	1	null
-151821	被减数	65536	171407	3	{n=0}
-151822	安插	65536	23433	3	{v=0}
-151823	被加数	65536	171616	3	{n=0}
-151824	汇入	65536	27719	3	{v=0}
-151825	禾苗	65536	31166	3	{n=0}
-151826	营业员	65536	168703	3	{n=12}
-151827	被动免	121709	171624	1	null
-151828	寒衣	65536	23506	3	{n=0}
-151829	整日	65536	25972	3	{d=1}
-151830	暴富	65536	26292	3	{v=1}
-151831	整旧	95717	25972	1	null
-151832	被动免疫	65536	151827	3	{l=0}
-151833	班底	65536	29677	3	{n=0}
-151834	被占领	129535	171808	1	null
-151835	大宁	72029	22823	2	{nr=0}
-151836	强心	89741	24378	1	null
-151837	电磁铁	65536	199942	3	{n=0}
-151838	被占领土	65536	151834	3	{n=12}
-151839	学籍	65536	23398	3	{n=2}
-151840	衰亡	65536	34928	3	{v=0, vn=0}
-151841	大宇	65536	22823	3	{nz=2}
-151842	被子植	122557	173840	1	null
-151843	大安	79804	22823	2	{n=0}
-151844	被告人	65536	172042	3	{n=23}
-151845	山坞	65536	23665	3	{n=0}
-151846	被子植物	65536	151842	3	{n=0}
-151847	袋兽	65536	34955	3	{n=0}
-151848	山坡	85416	23665	2	{n=15}
-151849	被害人	65536	173939	3	{n=14}
-151850	租期	65536	31199	3	{n=0, t=1}
-151851	窃窃	110168	31363	1	null
-151852	煞风	106815	29022	1	null
-151853	狗岛	65536	29399	3	{ns=0}
-151854	盖浇	98522	30422	1	null
-151855	头顶	65536	22836	3	{n=3, v=0}
-151856	欢唱	65536	27426	3	{v=1}
-151857	大宗	65536	22823	3	{b=0, m=7}
-151858	指名	79397	25351	2	{v=0}
-151859	表姐妹	65536	200206	3	{n=0}
-151860	睡帽	65536	30561	3	{n=0}
-151861	登临	111976	30331	2	{v=0}
-151862	指向	65536	25351	3	{n=0, v=0, vn=0}
-151863	大宝	65536	22823	3	{nz=0}
-151864	花容玉	112676	210243	1	null
-151865	被开方	125904	174784	1	null
-151866	山坳	65536	23665	3	{n=0}
-151867	莴苣	65536	33716	3	{n=0}
-151868	大客	65618	22823	1	null
-151869	洪山	65536	27946	3	{ns=0}
-151870	头颅	65536	22836	3	{n=0}
-151871	头领	65536	22836	3	{n=0}
-151872	被开方数	65536	151865	3	{l=0}
-151873	头颈	65536	22836	3	{n=0}
-151874	测震	106277	27979	1	null
-151875	被特许	119103	179769	1	null
-151876	被特许者	65536	151875	3	{n=2}
-151877	大宫	65536	22823	3	{ns=0}
-151878	被管理	119106	182113	1	null
-151879	被管理者	65536	151878	3	{n=1}
-151880	多种	76675	22810	2	{m=168, q=0}
-151881	袅袅婷	128609	163646	1	null
-151882	纤毛	108917	32420	2	{n=0}
-151883	被选举	125449	187337	1	null
-151884	被选举权	65536	151883	3	{l=1}
-151885	衷心	65536	34935	3	{b=16, d=14}
-151886	大宴	76375	22823	1	null
-151887	被除数	65536	188964	3	{n=0}
-151888	大家	79661	22823	2	{n=7, r=240}
-151889	裁决令	65536	155917	3	{n=0}
-151890	裁定书	65536	158452	3	{n=1}
-151891	大容	76208	22823	1	null
-151892	研究者	65536	150607	3	{n=5}
-151893	耐人玩	124214	156927	1	null
-151894	蛏干	65536	34511	3	{n=0}
-151895	翼根	65536	32764	3	{n=0}
-151896	裁纸机	65536	167442	3	{n=0}
-151897	实空	65536	23454	3	{n=0}
-151898	纤毫	65536	32420	3	{n=0}
-151899	裁缝店	65536	167543	3	{n=0}
-151900	砖窑	65536	30742	3	{n=0}
-151901	电磁锁	65536	199942	3	{n=0}
-151902	根瘤	90883	26681	2	{n=0}
-151903	裂殖菌	65536	160593	3	{n=0}
-151904	裁判台	65536	156030	3	{n=0}
-151905	裂解炉	65536	168350	3	{n=0}
-151906	装机容	114584	202975	1	null
-151907	最高	101842	26368	2	{a=184, ad=0, b=0}
-151908	装卸工	65536	197917	3	{n=1}
-151909	失色	65536	22833	3	{v=0}
-151910	社会党	65536	151774	3	{n=4}
-151911	装机容量	65536	151906	3	{n=3}
-151912	莲子	65536	33714	3	{n=3}
-151913	装样子	65536	203228	3	{l=0}
-151914	装检团	65536	203365	3	{j=0}
-151915	装模作	125241	203718	1	null
-151916	大寒	65536	22823	3	{t=0}
-151917	矿物质	65536	191214	3	{n=0}
-151918	虾兵	116183	34430	1	null
-151919	老年期	65536	209621	3	{t=0}
-151920	装模作样	65536	151915	3	{i=1}
-151921	抗战	65536	25239	3	{j=0, v=15, vn=8}
-151922	潮流	65536	28526	3	{n=32}
-151923	望远	84462	26395	1	null
-151924	装潢门	113172	205063	1	null
-151925	失节	65536	22833	3	{v=0}
-151926	装潢门面	65536	151924	3	{l=2}
-151927	工大	65536	24037	3	{j=0}
-151928	装甲兵	65536	206551	3	{n=0}
-151929	装疯卖	131263	206676	1	null
-151930	装疯卖傻	65536	151929	3	{i=0, l=0}
-151931	工夫	65536	24037	3	{n=5}
-151932	装神弄	112207	207619	1	null
-151933	砂仁	65536	30722	3	{n=0}
-151934	生活费	65536	196436	3	{n=17}
-151935	社会关	107881	151774	1	null
-151936	萤石	65536	33828	3	{n=0}
-151937	天山	79268	22825	2	{ns=6}
-151938	大寨	65536	22823	3	{n=1, ns=1}
-151939	禾草	65536	31166	3	{n=0}
-151940	工头	65536	24037	3	{n=2}
-151941	绵密	65536	32501	3	{a=0}
-151942	碘缺	119552	30872	1	null
-151943	对歌	65536	23545	3	{v=1}
-151944	空空荡	107582	203532	1	null
-151945	生活资	109625	196436	1	null
-151946	智齿	65536	26234	3	{n=0}
-151947	装神弄鬼	65536	151932	3	{i=0}
-151948	装移机	65536	207776	3	{j=0}
-151949	早先	65536	26089	3	{t=1}
-151950	异言	65536	24322	3	{n=0}
-151951	继承法	65536	154423	3	{n=0}
-151952	干儿	85654	24178	1	null
-151953	汗碱	65536	27735	3	{n=0}
-151954	炸雷	65536	28856	3	{n=0}
-151955	粒肥	65536	31890	3	{n=0}
-151956	装糊涂	65536	208495	3	{v=0}
-151957	山城	65536	23665	3	{n=10}
-151958	装聋作	130246	209392	1	null
-151959	装聋作哑	65536	151958	3	{i=0}
-151960	的话	65536	30340	3	{n=0, u=20}
-151961	大寿	65536	22823	3	{n=1}
-151962	装腔作	130781	209657	1	null
-151963	欢喜	65536	27426	3	{nz=0, v=0, vn=0}
-151964	装腔作势	65536	151962	3	{i=1}
-151965	紧急状	118215	161237	1	null
-151966	装船费	65536	209886	3	{n=0}
-151967	对此	65536	23545	3	{d=3, l=1}
-151968	大将	78984	22823	2	{n=1}
-151969	社保	65536	31038	3	{j=1, vn=0}
-151970	蒸气浴	65536	157245	3	{n=0}
-151971	大尉	65536	22823	3	{n=0}
-151972	蒸汽浴	65536	157350	3	{n=0}
-151973	装订机	65536	212295	3	{n=0}
-151974	装货单	65536	212684	3	{n=0}
-151975	装载机	65536	213282	3	{n=1}
-151976	装门面	65536	214925	3	{l=0}
-151977	大小	79474	22823	2	{a=1, n=46}
-151978	装配工	65536	213746	3	{n=0}
-151979	大少	70640	22823	1	null
-151980	裆部	65536	35014	3	{n=0}
-151981	装饰品	65536	215829	3	{n=1}
-151982	裕中西	114660	151983	1	null
-151983	裕中	116783	35029	1	null
-151984	裕中西里	65536	151982	3	{ns=0}
-151985	湘鄂	94985	28248	1	null
-151986	平乐	87700	24179	1	null
-151987	裕固族	65536	154236	3	{nz=1}
-151988	房租	78238	25151	2	{n=2}
-151989	罪孽	116772	32618	2	{n=1}
-151990	蔚县	65536	34074	3	{ns=3}
-151991	裘皮	65536	35032	3	{b=1, n=2}
-151992	裙带关系	65536	151997	3	{l=1}
-151993	窃笑	65536	31363	3	{v=0}
-151994	引火	81567	24341	1	null
-151995	步长	65536	27493	3	{nz=24}
-151996	洪峰	65536	27946	3	{n=1, nr=0}
-151997	裙带关	119997	152739	1	null
-151998	裤腰带	65536	166168	3	{n=0}
-151999	芽孢	65536	33469	3	{n=0}
-152000	裨益	65536	35048	3	{n=0}
-152001	恶行	65536	24694	3	{n=0}
-152002	桑蚕	104866	26705	2	{n=0}
-152003	平乡	87705	24179	1	null
-152004	投放	77925	25237	2	{v=32, vn=3}
-152005	裱糊	65536	35057	3	{v=0}
-152006	裴刘	131945	35060	1	null
-152007	窝火	65536	31389	3	{a=1}
-152008	裁判员	65536	156030	3	{n=5}
-152009	考勤钟	65536	184158	3	{n=0}
-152010	裴刘乡	65536	152006	3	{ns=0}
-152011	艰苦性	65536	160732	3	{n=0}
-152012	篮球	119920	31726	2	{n=22}
-152013	裙子	65536	35033	3	{n=0}
-152014	裸子植	122727	155238	1	null
-152015	狗崽	110794	29399	1	null
-152016	裸子植物	65536	152014	3	{l=0}
-152017	更正	65536	26356	3	{v=0, vn=0}
-152018	投敌	65536	25237	3	{v=0}
-152019	平乱	65536	24179	3	{v=0}
-152020	裹尸马	113261	152067	1	null
-152021	登记表	65536	167601	3	{n=3}
-152022	裹尸马革	65536	152020	3	{l=1}
-152023	潮润	103900	28526	2	{a=0}
-152024	政事	65536	25919	3	{j=0, n=1}
-152025	潮涨	103454	28526	1	null
-152026	大局	65654	22823	2	{n=57}
-152027	灌输	65536	28748	3	{v=1, vn=0}
-152028	旧习	65536	26087	3	{n=1}
-152029	袭击	65536	34989	3	{v=34, vn=8}
-152030	蝇子	65536	34631	3	{n=0}
-152031	数据	98373	25968	2	{n=48}
-152032	裹足不	130964	164734	1	null
-152033	裹足不前	65536	152032	3	{i=3}
-152034	旧书	65536	26087	3	{n=0}
-152035	脊神	114606	33034	1	null
-152036	褂子	65536	35074	3	{n=2}
-152037	褐家鼠	65536	152134	3	{n=0}
-152038	强悍	65536	24378	3	{a=2, ad=0, an=0}
-152039	褐斑病	65536	154657	3	{n=0}
-152040	苟同	65536	33503	3	{v=0}
-152041	褐木庐	65536	155064	3	{nz=0}
-152042	褐矮星	65536	159358	3	{n=1}
-152043	珍爱	65536	29645	3	{v=2, vn=2}
-152044	褐铁矿	65536	166737	3	{n=0}
-152045	褐马鸡	65536	168188	3	{n=0}
-152046	褐黄斑	65536	169300	3	{n=0}
-152047	大展	67418	22823	2	{n=1, nz=1, v=0}
-152048	票友	119910	31080	2	{n=0}
-152049	融为	131341	34701	1	null
-152050	褒义词	65536	152060	3	{n=0}
-152051	片段	65536	29255	3	{n=4}
-152052	磷肥	65536	30967	3	{n=2}
-152053	脉搏	111308	33033	2	{n=6}
-152054	艳妆	65536	33395	3	{n=0}
-152055	艳妇	65536	33395	3	{n=0}
-152056	袜套	65536	34972	3	{n=0}
-152057	褒贬不	132091	168159	1	null
-152058	大屠	73456	22823	1	null
-152059	褒贬不一	65536	152057	3	{i=1}
-152060	褒义	116261	35090	2	{n=0}
-152061	莱州	125749	33713	2	{ns=1}
-152062	褡包	65536	35105	3	{n=0}
-152063	褪色	65536	35114	3	{v=2}
-152064	自愧弗	124793	211031	1	null
-152065	干冰	65536	24178	3	{n=0}
-152066	褫夺	65536	35115	3	{v=0}
-152067	裹尸	112488	35065	1	null
-152068	褴褛	132088	35124	2	{z=2}
-152069	褴褛不	129504	152068	1	null
-152070	犯疑	65536	29359	3	{v=0}
-152071	旧事	65536	26087	3	{n=0}
-152072	干冷	65536	24178	3	{z=0}
-152073	平产	65536	24179	3	{v=0}
-152074	褴褛不堪	65536	152069	3	{i=0}
-152075	大山	65614	22823	2	{n=10, nr=1, ns=0, nz=0}
-152076	褶子	65536	35126	3	{n=0}
-152077	襁褓	65536	35137	3	{n=0}
-152078	襄城县	65536	153432	3	{ns=0}
-152079	对比	82216	23545	2	{v=8, vn=3}
-152080	广渠	71248	24191	1	null
-152081	干净	88000	24178	2	{a=12, ad=0}
-152082	社会分	115840	151774	1	null
-152083	襄樊市	65536	158100	3	{ns=9}
-152084	襄阳县	65536	169405	3	{ns=0}
-152085	票台	65536	31080	3	{n=1}
-152086	襟怀坦	121754	152094	1	null
-152087	襟怀坦白	65536	152086	3	{i=1}
-152088	数控	65536	25968	3	{b=0, n=0}
-152089	大屿	76226	22823	1	null
-152090	未遂	93657	26410	2	{v=2, vn=1}
-152091	西五路	65536	208716	3	{ns=0}
-152092	票号	65536	31080	3	{n=2}
-152093	西交民	128042	208732	1	null
-152094	襟怀	129712	35167	2	{n=0}
-152095	山塘	65536	23665	3	{n=0}
-152096	旧交	65536	26087	3	{n=0}
-152097	西交民巷	65536	152093	3	{ns=1}
-152098	抗拉	90957	25239	1	null
-152099	碰碰	106304	30896	2	{v=0}
-152100	工委	65536	24037	3	{j=16}
-152101	源自	65536	28304	3	{v=2}
-152102	平仄	65536	24179	3	{n=0}
-152103	牛头马	94844	176862	1	null
-152104	根目	100219	26681	1	null
-152105	头饰	65536	22836	3	{n=0}
-152106	西伯利	131987	208871	1	null
-152107	抗拒	95163	25239	2	{v=2, vn=0}
-152108	断垄	65536	26029	3	{n=0}
-152109	西伯利亚	65536	152106	3	{ns=3}
-152110	绉纱	65536	32457	3	{n=0}
-152111	西六乡	65536	209445	3	{ns=3}
-152112	西凤酒	65536	209564	3	{n=0}
-152113	政令	65536	25919	3	{n=1}
-152114	西半球	65536	209922	3	{n=1}
-152115	襄助	65536	35140	3	{v=0}
-152116	服饰	65536	26381	3	{n=7}
-152117	大岛	65536	22823	3	{nr=0}
-152118	绉纹	65536	32457	3	{n=0}
-152119	西华县	65536	209926	3	{ns=0}
-152120	西北军	65536	209871	3	{n=0}
-152121	天崩	78287	22825	1	null
-152122	犯病	65536	29359	3	{v=0}
-152123	藩属	65536	34281	3	{n=0}
-152124	西厢记	65536	210010	3	{nz=1}
-152125	西双坦	125679	210052	1	null
-152126	英雄好	121471	210905	1	null
-152127	早出	94392	26089	1	null
-152128	西双坦村	65536	152125	3	{ns=0}
-152129	羞与	125080	32670	1	null
-152130	社会制	115648	151774	1	null
-152131	褥单	65536	35109	3	{n=0}
-152132	招牌	65536	25307	3	{n=6}
-152133	未遭	65536	26410	3	{v=0}
-152134	褐家	111301	35088	1	null
-152135	当啷	65536	24403	3	{o=0}
-152136	西南部	65536	209935	3	{f=2, n=0, s=0}
-152137	西双版纳	128114	159007	2	{ns=2}
-152138	育才	65536	32946	3	{nr=0, nz=0, v=0, vn=2}
-152139	断垣	91501	26029	1	null
-152140	蝶形	117837	34678	2	{n=1}
-152141	由表	114417	30001	1	null
-152142	政企	98078	25919	2	{j=11}
-152143	衷情	65536	34935	3	{n=0}
-152144	西双版纳州	65536	152137	3	{ns=0}
-152145	磷脂	65536	30967	3	{n=0}
-152146	西吉县	65536	210113	3	{ns=4}
-152147	肤色	65536	32932	3	{n=4}
-152148	西固区	65536	210866	3	{ns=0}
-152149	聊斋	65536	32842	3	{n=0, nz=0}
-152150	熔铸	109114	29076	2	{v=1, vn=0}
-152151	西坑村	65536	210953	3	{ns=4}
-152152	西城区	65536	211078	3	{ns=4}
-152153	平价	65536	24179	3	{ad=0, n=5}
-152154	茫然	129279	33579	2	{a=2, ad=1, an=0}
-152155	脑血管	65536	200720	3	{n=2}
-152156	由衷	115829	30001	2	{d=7, vd=0}
-152157	羁绊	65536	32641	3	{n=1}
-152158	市辖	87364	24066	1	null
-152159	西夏区	65536	211399	3	{ns=0}
-152160	山墙	65536	23665	3	{n=1}
-152161	西奥夫	65536	211485	3	{nz=0}
-152162	碧玉	65536	30887	3	{n=0}
-152163	西子湖	122129	211976	1	null
-152164	脂肪	114107	33026	2	{n=1}
-152165	西子湖畔	65536	152163	3	{ns=0}
-152166	西孟加	126878	211991	1	null
-152167	西孟加拉	115142	152166	1	null
-152168	神经性	65536	206548	3	{b=1, n=3}
-152169	裸体	65536	35064	3	{b=0}
-152170	整机	65536	25972	3	{n=3}
-152171	折算	65536	25240	3	{v=1, vn=0}
-152172	西孟加拉邦	65536	152167	3	{ns=0}
-152173	畅达	65536	30021	3	{a=0}
-152174	极左	65536	26497	3	{b=3}
-152175	西宁市	65536	212025	3	{ns=3}
-152176	归还	65536	24402	3	{v=15, vn=0}
-152177	西安事	130721	212033	1	null
-152178	窥破	65536	31397	3	{v=1}
-152179	挂果	65536	25346	3	{v=4, vn=0}
-152180	落花生	65536	209041	3	{n=0}
-152181	常胜	65536	24120	3	{b=1, nr=1}
-152182	痰迷	112207	30192	1	null
-152183	蝇头微	130219	151490	1	null
-152184	痰迹	65536	30192	3	{n=1}
-152185	西安事变	65536	152177	3	{nz=2}
-152186	安放	65536	23433	3	{v=3, vn=0}
-152187	荣誉室	65536	177533	3	{n=1}
-152188	西山区	65536	212265	3	{ns=0}
-152189	护路	88969	25252	1	null
-152190	西岗区	65536	212303	3	{ns=0}
-152191	绝对温	119868	195155	1	null
-152192	焚风	65536	28954	3	{n=0}
-152193	干到	84824	24178	1	null
-152194	盲流	65536	30450	3	{n=1}
-152195	细胞液	65536	204586	3	{n=0}
-152196	药剂拌	118429	199438	1	null
-152197	普普	84561	26222	1	null
-152198	西峡县	65536	212377	3	{ns=10}
-152199	西峰山	65536	212392	3	{ns=0}
-152200	西庄村	65536	212796	3	{ns=0}
-152201	移栽	65536	31227	3	{v=1, vn=0}
-152202	西开普	121738	212920	1	null
-152203	西开普省	65536	152202	3	{ns=2}
-152204	西德维	128637	213103	1	null
-152205	挂架	65536	25346	3	{n=0}
-152206	熏鱼	65536	29071	3	{n=0}
-152207	杀生	65536	26432	3	{v=0}
-152208	服务行	65536	133989	3	{n=0}
-152209	西德维尔	65536	152204	3	{nz=0}
-152210	西撒哈	126924	214346	1	null
-152211	照相馆	65536	180224	3	{n=1}
-152212	望都	101265	26395	2	{ns=0}
-152213	西撒哈拉	65536	152210	3	{ns=1}
-152214	西敏司	128669	214535	1	null
-152215	西敏司寺	65536	152214	3	{ns=0}
-152216	西方人	65536	214641	3	{n=2}
-152217	西昌市	65536	214724	3	{ns=3}
-152218	立体电	116999	187868	1	null
-152219	西服呢	65536	214981	3	{n=0}
-152220	西柏坡	132160	215175	2	{ns=3}
-152221	炎黄	109139	28814	2	{j=0, nz=1}
-152222	狼子	97091	29436	1	null
-152223	竞猜	65536	31454	3	{v=0, vn=0}
-152224	政体	65536	25919	3	{n=2}
-152225	西柏坡乡	65536	152220	3	{ns=0}
-152226	西江月	65536	216343	3	{nz=1}
-152227	滑板	65536	28369	3	{n=2}
-152228	西沙里	125780	216401	1	null
-152229	西沙里村	65536	152228	3	{ns=0}
-152230	西沟村	65536	216407	3	{ns=0}
-152231	年富	88244	24180	1	null
-152232	站岗	65536	31449	3	{v=3}
-152233	西游记	128767	216816	2	{n=0, nz=5}
-152234	西游记宫	65536	152233	3	{n=4}
-152235	耿直	65536	32831	3	{a=0, an=0}
-152236	归途	65536	24402	3	{n=0}
-152237	落叶松	65536	197078	3	{n=0}
-152238	情爱	65536	24773	3	{n=0, vn=0}
-152239	瓷瓶	65536	29943	3	{n=0}
-152240	潮湿	65536	28526	3	{a=3, an=0}
-152241	西王母	65536	218179	3	{n=0}
-152242	西班牙	116422	218277	2	{ns=53}
-152243	西班牙语	65536	152242	3	{nz=3}
-152244	滚水	109092	28378	2	{n=0}
-152245	西番莲	65536	218658	3	{n=0}
-152246	罢手	65536	32610	3	{v=0}
-152247	狼孩	65536	29436	3	{n=0}
-152248	西直门	65536	219052	3	{ns=0}
-152249	西红柿	65536	221018	3	{n=9}
-152250	稳固	65536	31283	3	{a=5, ad=0, v=2}
-152251	西罗园	65536	221199	3	{ns=0}
-152252	西花厅	65536	222057	3	{ns=2}
-152253	西药店	65536	222247	3	{n=0}
-152254	繁殖率	65536	166731	3	{n=0}
-152255	畸重	106324	30072	1	null
-152256	西营镇	65536	222429	3	{ns=2}
-152257	羞于	123559	32670	1	null
-152258	西萨摩	132137	222432	1	null
-152259	西萨摩亚	65536	152258	3	{ns=0}
-152260	绝缘漆	65536	204146	3	{n=0}
-152261	西葫芦	65536	222499	3	{n=2}
-152262	好看	65536	22909	3	{a=7}
-152263	西藏路	65536	222855	3	{ns=0}
-152264	约定	122906	32422	2	{v=1, vd=0, vn=1}
-152265	畅通	110173	30021	2	{a=16, an=5, v=2}
-152266	西装革	128619	223613	1	null
-152267	土霉	65561	22303	1	null
-152268	断堤	65536	26029	3	{n=0}
-152269	整枝	65536	25972	3	{v=2}
-152270	外籍	65536	22806	3	{n=11}
-152271	旧体	84762	26087	1	null
-152272	西装革履	65536	152266	3	{j=0, l=2}
-152273	融会	115169	34701	2	{v=5, vn=0}
-152274	西西伯	131242	223799	1	null
-152275	西西伯利	132156	152274	1	null
-152276	装配式	65536	213746	3	{n=0}
-152277	绝对湿	119870	195155	1	null
-152278	西西伯利亚	65536	152275	3	{ns=0}
-152279	羽扇	65536	32701	3	{n=0}
-152280	旧作	65536	26087	3	{n=0}
-152281	永兴	106214	27704	1	null
-152282	联合战	113638	197495	1	null
-152283	苇子	65536	33479	3	{n=0}
-152284	西西里岛	65536	169327	3	{ns=1}
-152285	西路军	65536	224935	3	{j=3, nt=0}
-152286	星光	98179	26143	2	{n=1, nr=0}
-152287	西部片	65536	225696	3	{n=0}
-152288	西里西	132168	225924	1	null
-152289	排中	92362	25490	1	null
-152290	西里西亚	65536	152288	3	{ns=0}
-152291	西雅图	65536	227197	3	{ns=2}
-152292	治愈	98985	27835	2	{v=2, vn=0}
-152293	瘦肉	114351	30246	2	{n=0}
-152294	标定	65536	26631	3	{v=0}
-152295	家燕	65536	23478	3	{n=0}
-152296	西门子	65536	226976	3	{nz=11}
-152297	定理	65536	23450	3	{n=1}
-152298	西青区	65536	227338	3	{ns=1}
-152299	地貌	75338	22320	2	{n=1}
-152300	年少	65536	24180	3	{a=1}
-152301	羞人	113544	32670	1	null
-152302	西风东	124127	227718	1	null
-152303	西风东渐	65536	152302	3	{l=1}
-152304	累加	120855	32047	2	{v=1, vn=0}
-152305	箭猪	65536	31661	3	{n=0}
-152306	秦国	65536	31206	3	{ns=0}
-152307	西餐厅	65536	227784	3	{n=0}
-152308	瓷画	65536	29943	3	{n=0}
-152309	波伊	95214	27874	1	null
-152310	治愚	65536	27835	3	{v=0}
-152311	要死不	124350	203400	1	null
-152312	睡态	65536	30561	3	{n=0}
-152313	要死不活	65536	152311	3	{l=0}
-152314	百万雄	113159	181728	1	null
-152315	山头	65536	23665	3	{n=8}
-152316	要求者	65536	203599	3	{n=1}
-152317	抽烟	65536	25277	3	{v=3}
-152318	天差	78293	22825	1	null
-152319	要言不	123427	211213	1	null
-152320	汇单	65536	27719	3	{n=0}
-152321	条令	65536	26465	3	{n=0}
-152322	西洋参	65536	216515	3	{n=0}
-152323	干劲	88125	24178	2	{n=3}
-152324	漆黑	111741	28422	2	{z=0}
-152325	浑然	109786	27985	2	{a=0}
-152326	狗年	65536	29399	3	{t=0}
-152327	旧例	65536	26087	3	{n=0}
-152328	莲峰	129782	33714	1	null
-152329	要言不烦	65536	152319	3	{i=1}
-152330	要面子	65536	214639	3	{a=0}
-152331	覆盆之	131441	154958	1	null
-152332	虐政	65536	34384	3	{n=0}
-152333	综治	123226	32508	2	{j=0}
-152334	薏苡	65536	34191	3	{n=0}
-152335	德里	65536	24503	3	{ns=0}
-152336	广漠	65536	24191	3	{a=0}
-152337	波伦	108677	27874	1	null
-152338	引燃	65536	24341	3	{v=0}
-152339	条件	102546	26465	2	{n=420}
-152340	衔命	126248	34900	1	null
-152341	覆盆之冤	65536	152331	3	{i=0}
-152342	牧奎	107234	29287	1	null
-152343	舒张	65536	33298	3	{vn=0}
-152344	天师	65536	22825	3	{n=0}
-152345	年尾	65536	24180	3	{t=1}
-152346	覆盖率	65536	154974	3	{n=7}
-152347	浅易	65536	27973	3	{a=0}
-152348	多管	65884	22810	1	null
-152349	蔫蔫唧	128800	164791	1	null
-152350	蔡塘	65536	34081	3	{ns=0}
-152351	湖岸	65536	28246	3	{n=1}
-152352	玻璃窗	65536	143711	3	{n=1}
-152353	见不得	132202	199386	1	null
-152354	社会化	65536	151774	3	{v=7, vd=1, vn=19}
-152355	蛮劲	65536	34542	3	{n=0}
-152356	见不得人	65536	152353	3	{l=0}
-152357	头马	65536	22836	3	{n=0}
-152358	见世面	65536	199395	3	{v=0}
-152359	见义勇	132334	199446	1	null
-152360	见义勇为	119589	152359	2	{i=7}
-152361	覆没	65536	35206	3	{v=0}
-152362	见义勇为者	65536	152360	3	{n=1}
-152363	球面镜	65536	192640	3	{n=0}
-152364	见仁见	126131	199566	1	null
-152365	见仁见智	65536	152364	3	{i=0}
-152366	极度	65536	26497	3	{d=4}
-152367	见兔顾	123014	200225	1	null
-152368	失落	76139	22833	2	{a=0, v=3, vn=2}
-152369	见习员	65536	199469	3	{n=2}
-152370	见兔顾犬	65536	152367	3	{i=0}
-152371	情状	65536	24773	3	{n=0}
-152372	要不了	65536	195866	3	{v=0}
-152373	见分晓	65536	200403	3	{l=0}
-152374	混纺	65536	28151	3	{b=0, v=0}
-152375	见利忘	132337	200438	1	null
-152376	滚沸	65536	28378	3	{v=0}
-152377	护身	87630	25252	2	{vn=0}
-152378	见利忘义	65536	152375	3	{i=2}
-152379	牧女	65536	29287	3	{n=0}
-152380	异议	65536	24322	3	{n=5, v=0}
-152381	见危授	130753	200766	1	null
-152382	见危授命	65536	152381	3	{i=0}
-152383	见多识	128197	202215	1	null
-152384	落叶树	65536	197078	3	{n=0}
-152385	欧里	65536	27431	3	{nz=0}
-152386	禽肉	65536	31165	3	{n=0}
-152387	平信	65536	24179	3	{n=1}
-152388	见多识广	65536	152383	3	{i=0}
-152389	罚款	65536	32602	3	{n=20, v=27, vn=4}
-152390	浅显	65536	27973	3	{a=1}
-152391	见异思	115593	203727	1	null
-152392	家父	65536	23478	3	{n=1}
-152393	脂膏	65536	33026	3	{n=0}
-152394	见异思迁	65536	152391	3	{i=0}
-152395	焚香	65536	28954	3	{v=0}
-152396	薛庄	124240	34203	1	null
-152397	蒙古国	65536	181832	3	{ns=0}
-152398	落水管	65536	203284	3	{n=0}
-152399	安易	65536	23433	3	{nz=2}
-152400	见微知著	65536	152407	3	{i=1}
-152401	见微而知	118523	154494	1	null
-152402	见微而知著	65536	152401	3	{l=1, n=0}
-152403	旧俗	65536	26087	3	{n=0}
-152404	生物课	65536	197762	3	{n=4}
-152405	引爆	89414	24341	2	{v=1}
-152406	见怪不	127790	204023	1	null
-152407	见微知	118521	203899	1	null
-152408	见怪不怪	65536	152406	3	{i=0}
-152409	移植	65536	31227	3	{v=5, vd=0, vn=3}
-152410	见惯不	127635	204220	1	null
-152411	异词	65536	24322	3	{n=0}
-152412	年岁	65536	24180	3	{n=1}
-152413	见惯不惊	65536	152410	3	{l=1}
-152414	见所未	117150	204557	1	null
-152415	见所未见	65536	152414	3	{i=0}
-152416	见机而	117526	205831	1	null
-152417	头骨	65536	22836	3	{n=0}
-152418	见机而行	65536	152416	3	{l=0}
-152419	珍玩	65536	29645	3	{n=0}
-152420	泰米	105503	27888	1	null
-152421	天幕	65536	22825	3	{n=3}
-152422	见机行事	65536	154528	3	{i=0}
-152423	联合报	65536	197495	3	{n=0}
-152424	见棱见	117144	206270	1	null
-152425	断壁	91509	26029	2	{n=0}
-152426	见棱见角	65536	152424	3	{l=0}
-152427	见死不	126491	206920	1	null
-152428	见死不救	65536	152427	3	{i=0}
-152429	见猎心	130514	208859	1	null
-152430	见猎心喜	65536	152429	3	{i=0}
-152431	疾速	65536	30142	3	{ad=1}
-152432	见缝就钻	65536	152435	3	{l=0}
-152433	牌照	65536	29260	3	{n=0}
-152434	探求	65536	25506	3	{v=1, vn=0}
-152435	见缝就	114357	211946	1	null
-152436	荧屏	65536	33639	3	{n=25}
-152437	恶言	65536	24694	3	{n=1}
-152438	房管	92800	25151	2	{v=0, vn=1}
-152439	见缝插针	65536	154388	3	{i=1}
-152440	见证人	65536	215182	3	{n=1}
-152441	见财起	127595	215535	1	null
-152442	见财起意	65536	152441	3	{i=0}
-152443	见钱眼	128126	217470	1	null
-152444	对流	86335	23545	2	{v=0, vn=0}
-152445	蝴蝶树	65536	151293	3	{n=0}
-152446	见钱眼开	65536	152443	3	{i=0}
-152447	改建	65536	25913	3	{v=22, vn=0}
-152448	山妹	65536	23665	3	{n=1}
-152449	大巧	66383	22823	1	null
-152450	天干	65536	22825	3	{n=0}
-152451	天平	69410	22825	2	{n=0, nz=0}
-152452	天年	65536	22825	3	{n=0}
-152453	见面会	65536	218159	3	{n=1}
-152454	标尺	65536	26631	3	{n=2}
-152455	地质	75370	22320	2	{n=90}
-152456	天幸	65536	22825	3	{n=0}
-152457	异读	65536	24322	3	{n=0}
-152458	排他	92210	25490	1	null
-152459	见风使舵	65536	152472	3	{i=0}
-152460	狼尾	100815	29436	1	null
-152461	见风是雨	65536	158280	3	{l=0}
-152462	大巴	76231	22823	2	{n=0}
-152463	肇新	65536	32903	3	{nz=0}
-152464	永别	65536	27704	3	{v=1}
-152465	头高	78212	22836	1	null
-152466	市郊	65536	24066	3	{s=8}
-152467	见风转舵	65536	168837	3	{i=0}
-152468	粗放经	108588	191687	1	null
-152469	快要	65536	24555	3	{d=4}
-152470	蒲团	65536	33970	3	{n=1}
-152471	莱西市	65536	163230	3	{ns=0}
-152472	见风使	119126	218523	1	null
-152473	见高低	65536	219045	3	{l=0}
-152474	珍珠	108211	29645	2	{n=1}
-152475	置之死	122614	145858	1	null
-152476	大市	65536	22823	3	{n=2}
-152477	绒球	65536	32466	3	{n=0}
-152478	观世音	65536	177573	3	{n=0}
-152479	瞎诌	65536	30606	3	{v=0}
-152480	插销	65536	25554	3	{n=0}
-152481	表里山	123914	214538	1	null
-152482	大师	79284	22823	2	{n=40}
-152483	观后感	65536	179101	3	{n=0}
-152484	强手	87886	24378	2	{n=2}
-152485	天底	80640	22825	1	null
-152486	观庙乡	65536	181800	3	{ns=0}
-152487	工字	83761	24037	1	null
-152488	条例	65536	26465	3	{n=65}
-152489	平假	87623	24179	1	null
-152490	略图	65536	30053	3	{n=0}
-152491	改弦	91785	25913	1	null
-152492	天府	80579	22825	2	{n=1}
-152493	观众席	65536	177830	3	{n=0}
-152494	普林	95424	26222	1	null
-152495	观念形	127920	182148	1	null
-152496	瞎话	65536	30606	3	{n=0}
-152497	观念形态	65536	152495	3	{l=0}
-152498	观潮派	65536	186109	3	{n=0}
-152499	汇合	65536	27719	3	{v=0}
-152500	观澜湖	65536	186155	3	{nz=0}
-152501	土音	65536	22303	3	{n=0}
-152502	工学	69686	24037	1	null
-152503	大帝	65536	22823	3	{n=0}
-152504	袭取	65536	34989	3	{v=0}
-152505	激将	104235	28608	1	null
-152506	舒心	65536	33298	3	{a=6, ad=1, an=0, nr=0}
-152507	布衣	65536	24067	3	{n=0}
-152508	观礼台	65536	188619	3	{n=0}
-152509	天庭	65536	22825	3	{n=0}
-152510	家犬	65536	23478	3	{n=1}
-152511	狼山	93944	29436	1	null
-152512	投机	94784	25237	2	{a=2, v=4, vn=8}
-152513	观者如	129935	190356	1	null
-152514	翻译片	65536	206281	3	{n=0}
-152515	对消	65536	23545	3	{v=0}
-152516	观者如堵	65536	152513	3	{i=0}
-152517	观象台	65536	193520	3	{n=0}
-152518	观赏植物	65536	154799	3	{l=1}
-152519	瞎说	65536	30606	3	{v=0}
-152520	规定值	65536	167591	3	{n=0}
-152521	观赏性	65536	193758	3	{n=9}
-152522	蒋坝	112048	33931	1	null
-152523	规律性	65536	168600	3	{n=3}
-152524	规格化	65536	170825	3	{v=1, vn=1}
-152525	规章制	128302	175597	1	null
-152526	规模化	65536	171310	3	{v=8, vd=1, vn=8}
-152527	观音土	65536	196482	3	{n=0}
-152528	芦城	128480	33446	1	null
-152529	灌醉	65536	28748	3	{v=0}
-152530	规划区	65536	165151	3	{n=0, s=1}
-152531	滑梯	65536	28369	3	{n=0}
-152532	规章制度	65536	152525	3	{l=11}
-152533	规行矩	125043	179033	1	null
-152534	规范化	65536	177680	3	{v=13, vd=1, vn=26}
-152535	大帽	76522	22823	1	null
-152536	规行矩步	65536	152533	3	{i=0}
-152537	觅食	65536	35269	3	{v=1}
-152538	视为畏	115655	177654	1	null
-152539	视为畏途	65536	152538	3	{i=0}
-152540	断头	97565	26029	2	{n=0, v=0}
-152541	视力表	65536	178775	3	{n=0}
-152542	视同儿	127441	179144	1	null
-152543	大幅	75671	22823	2	{a=0, b=4, d=58}
-152544	视同儿戏	65536	152542	3	{l=0}
-152545	端午	108180	31471	2	{t=0}
-152546	视同陌路	65536	170219	3	{i=0}
-152547	视如粪	130245	180542	1	null
-152548	视如粪土	65536	152547	3	{i=0}
-152549	视死如	128150	185143	1	null
-152550	管理处	65536	197816	3	{n=6}
-152551	炮座	65536	28846	3	{n=0}
-152552	视死如归	65536	152549	3	{i=0}
-152553	视神经	65536	188698	3	{n=1}
-152554	视紫质	65536	189671	3	{n=0}
-152555	篇目	65536	31687	3	{n=1}
-152556	视网膜	65536	190221	3	{n=0}
-152557	范围	65536	33539	3	{n=162}
-152558	多米	75883	22810	1	null
-152559	蒲圻	126293	33970	2	{ns=1}
-152560	精神损耗	65536	143504	3	{l=0}
-152561	袜子	65536	34972	3	{n=2}
-152562	衡器	65536	34913	3	{n=0}
-152563	生产关	103521	188608	1	null
-152564	碌碌无能	65536	141397	3	{i=0}
-152565	视而不	117305	190408	1	null
-152566	翠菊	65536	32736	3	{n=0}
-152567	空心菜	65536	196693	3	{n=2}
-152568	类别	65536	31867	3	{n=2}
-152569	脱水机	65536	199769	3	{n=0}
-152570	视而不见	65536	152565	3	{i=3}
-152571	视若无	121990	191137	1	null
-152572	普查	65536	26222	3	{v=5, vn=15}
-152573	观光台	65536	178392	3	{n=1}
-152574	社会史	65536	151774	3	{n=6, nr=1}
-152575	视若无睹	65536	152571	3	{i=0}
-152576	当地	90764	24403	2	{b=0, s=257}
-152577	排位	65536	25490	3	{n=1, v=1, vn=0}
-152578	视若路人	65536	162826	3	{i=0}
-152579	览胜	65536	35272	3	{v=0}
-152580	觊觎	65536	35274	3	{v=0}
-152581	角加速	128355	178141	1	null
-152582	睡意	65536	30561	3	{n=0}
-152583	苛性	118074	33499	1	null
-152584	继子	65536	32487	3	{n=0}
-152585	角加速度	65536	152581	3	{n=0}
-152586	当场	65536	24403	3	{d=17, n=0}
-152587	角动量	65536	178149	3	{n=0}
-152588	大干	79934	22823	2	{nr=0, v=2, vn=0}
-152589	大平	65536	22823	3	{nr=0}
-152590	大年	79030	22823	2	{n=9, nr=0}
-152591	角美镇	65536	189643	3	{ns=1}
-152592	角膜炎	65536	190169	3	{n=0}
-152593	角速度	65536	193884	3	{n=0}
-152594	大幸	65536	22823	3	{n=0}
-152595	秘方	65536	31192	3	{n=0}
-152596	角闪石	65536	195367	3	{n=0}
-152597	甜丝	115472	29980	1	null
-152598	应诉	65536	24212	3	{v=0}
-152599	应诊	65536	24212	3	{v=0}
-152600	建行	65536	24314	3	{j=5}
-152601	社会名	111911	151774	1	null
-152602	累及	65536	32047	3	{v=2}
-152603	解剖麻雀	65536	169844	3	{l=0}
-152604	炼金	106234	28860	1	null
-152605	维修班	65536	182914	3	{n=0}
-152606	断奶	65536	26029	3	{v=1, vn=0}
-152607	解剖学	65536	199660	3	{n=2}
-152608	大庆	75840	22823	2	{n=0, nr=0, ns=34, v=0, vn=0}
-152609	穆纳	120756	31302	1	null
-152610	应试	65536	24212	3	{v=1, vn=12}
-152611	虎林市	65536	193722	3	{ns=1}
-152612	解囊相	131452	200800	1	null
-152613	解囊相助	65536	152612	3	{i=0}
-152614	解困扶贫	65536	156673	3	{l=2}
-152615	解放军总	126697	158753	1	null
-152616	解放军总政	124783	152615	1	null
-152617	解困办	65536	200838	3	{j=2}
-152618	解放军总政治	115524	152616	1	null
-152619	疗养院	65536	136444	3	{n=2}
-152620	解放军总政治部	65536	152618	3	{n=0}
-152621	桥身	65536	26725	3	{n=0}
-152622	解放北路	65536	159133	3	{ns=0}
-152623	定界	73894	23450	1	null
-152624	投枪	65536	25237	3	{n=0}
-152625	步韵	65536	27493	3	{v=0}
-152626	应该	65536	24212	3	{r=4, v=226}
-152627	茧子	65536	33575	3	{n=0}
-152628	电话费	65536	204834	3	{n=11}
-152629	营养学	65536	169568	3	{n=1}
-152630	解放思想	65536	162467	3	{i=90}
-152631	自我批	111937	211265	1	null
-152632	安曼	65536	23433	3	{ns=16}
-152633	解放战争	65536	162974	3	{n=0, nz=20}
-152634	解放桥街	65536	164587	3	{ns=0}
-152635	扬黄	65536	25196	3	{ns=0}
-152636	解析几	132328	205094	1	null
-152637	解析几何	65536	152636	3	{l=0}
-152638	解毒剂	65536	206184	3	{n=0}
-152639	棉桃	65536	26825	3	{n=0}
-152640	大度	78654	22823	2	{a=1}
-152641	百事通	65536	181860	3	{n=1}
-152642	翩跹	109077	32745	2	{v=0, z=2}
-152643	解甲归	122644	208584	1	null
-152644	解甲归田	65536	152643	3	{i=0}
-152645	湖州	107100	28246	2	{ns=4}
-152646	解码器	65536	209303	3	{n=0}
-152647	大庭	75720	22823	1	null
-152648	干号	65536	24178	3	{v=0}
-152649	至理明	112719	174537	1	null
-152650	色拉油	65536	176129	3	{n=0}
-152651	引狼	89636	24341	1	null
-152652	派驻	65536	27966	3	{v=6, vn=1}
-152653	解说员	65536	214410	3	{n=0}
-152654	衰减	127136	34928	2	{v=1, vn=1}
-152655	解调器	65536	214425	3	{n=0}
-152656	解释权	65536	215904	3	{n=0}
-152657	多糖	65536	22810	3	{n=1}
-152658	大庸	65536	22823	3	{n=0}
-152659	解铃系	114577	216665	1	null
-152660	解铃系铃	65536	152659	3	{i=0}
-152661	解阵党	65536	217035	3	{j=0}
-152662	数日	65536	25968	3	{m=1, t=1}
-152663	觥筹	132532	35301	1	null
-152664	觥筹交	114498	152663	1	null
-152665	神经战	65536	206548	3	{n=0}
-152666	聘期	65536	32856	3	{n=0}
-152667	觥筹交错	65536	152664	3	{i=1}
-152668	继室	65536	32487	3	{n=0}
-152669	触发器	65536	158512	3	{n=0}
-152670	触手可	131223	162218	1	null
-152671	更深	101727	26356	1	null
-152672	老成练	108771	210545	1	null
-152673	触手可及	65536	152670	3	{l=0}
-152674	社办	65536	31038	3	{b=0}
-152675	触景伤情	65536	152677	3	{i=0}
-152676	蝗情	65536	34647	3	{n=0}
-152677	触景伤	127902	163278	1	null
-152678	触摸屏	65536	162775	3	{n=0}
-152679	触景生情	65536	162400	3	{i=0}
-152680	干吗	65536	24178	3	{v=1}
-152681	触目惊	128168	167501	1	null
-152682	看得见	65536	172632	3	{v=4}
-152683	触目惊心	65536	152681	3	{i=4}
-152684	斗车	65536	26007	3	{n=1}
-152685	触类旁通	65536	152687	3	{i=1}
-152686	触类而通	65536	159418	3	{l=0}
-152687	触类旁	115795	168922	1	null
-152688	言不及	132648	186459	1	null
-152689	言不及义	65536	152688	3	{i=0}
-152690	斗转	92812	26007	1	null
-152691	言不由衷	65536	161239	3	{i=0}
-152692	百分表	65536	182751	3	{n=0}
-152693	玩弄	65536	29609	3	{v=1}
-152694	荷兰	120165	33655	2	{ns=26}
-152695	言为心	129928	186504	1	null
-152696	言为心声	65536	152695	3	{i=0}
-152697	炮弹	65536	28846	3	{n=4}
-152698	言之凿凿	65536	152704	3	{i=0}
-152699	探测	96726	25506	2	{v=10, vn=13}
-152700	端口	65536	31471	3	{n=0}
-152701	示范村	65536	153264	3	{n=2}
-152702	言之成理	65536	156817	3	{i=0}
-152703	言之无物	65536	157793	3	{i=0}
-152704	言之凿	131707	186521	1	null
-152705	言之有物	65536	158090	3	{i=0}
-152706	蒲城	128923	33970	1	null
-152707	情理	93287	24773	2	{n=2}
-152708	言传身	126765	186734	1	null
-152709	自主权	65536	206187	3	{n=8}
-152710	言传身教	65536	152708	3	{i=1}
-152711	稀土	120001	31232	2	{n=0}
-152712	言听计	132539	188026	1	null
-152713	言听计从	65536	152712	3	{i=0}
-152714	工尺	65536	24037	3	{n=0}
-152715	瓷盒	65536	29943	3	{n=0}
-152716	稍稍	65536	31245	3	{d=0}
-152717	投标	95110	25237	2	{v=13, vn=3}
-152718	次生	99211	27425	2	{b=9}
-152719	护送	65536	25252	3	{v=3, vn=4}
-152720	土风	65541	22303	2	{n=0}
-152721	瓷盘	65536	29943	3	{n=1}
-152722	礼品部	65536	161965	3	{n=0}
-152723	言外之	127880	189284	1	null
-152724	市里	65536	24066	3	{n=18}
-152725	女色	65536	22899	3	{n=0}
-152726	萧山	125986	33831	2	{ns=0}
-152727	言外之意	65536	152723	3	{i=0}
-152728	浅析	65536	27973	3	{v=1, vn=0}
-152729	行政公	118915	212167	1	null
-152730	大开	69392	22823	1	null
-152731	而是	65536	32780	3	{c=179, v=1}
-152732	维尼龙	65536	186064	3	{n=0}
-152733	肩摩	118913	32937	1	null
-152734	言多必	129902	189288	1	null
-152735	言多必失	65536	152734	3	{i=0}
-152736	言多语失	65536	164038	3	{l=0}
-152737	脑电波	65536	195845	3	{n=0}
-152738	白水镇	65536	200994	3	{ns=2}
-152739	裙带	131146	35033	2	{b=0}
-152740	言差语	114579	190524	1	null
-152741	抗敌	83307	25239	1	null
-152742	干呕	65536	24178	3	{v=0}
-152743	政党	65536	25919	3	{n=31}
-152744	罚没	117437	32602	2	{v=4, vn=0}
-152745	干员	65536	24178	3	{n=0}
-152746	抗救	86542	25239	1	null
-152747	平光	70909	24179	1	null
-152748	言差语错	65536	152740	3	{l=0}
-152749	疯牛	106325	30127	1	null
-152750	言归于	129845	190880	1	null
-152751	极性	65536	26497	3	{n=0}
-152752	如闻	81246	22914	1	null
-152753	老面皮	65536	224195	3	{n=0}
-152754	言归于好	65536	152750	3	{i=0}
-152755	矮胖	65536	30702	3	{z=0}
-152756	盘山路	65536	179368	3	{n=1}
-152757	绵延	124350	32501	2	{v=5, vn=0}
-152758	异质	85744	24322	1	null
-152759	狗急	97834	29399	1	null
-152760	言归正传	65536	160131	3	{i=0}
-152761	言必有	132750	190995	1	null
-152762	大张	74569	22823	1	null
-152763	言必有中	65536	152761	3	{i=0}
-152764	言情小说	65536	152769	3	{n=1}
-152765	言无不	129155	192558	1	null
-152766	线性规	122534	179128	1	null
-152767	插队	83409	25554	2	{v=1, vn=0}
-152768	言无不尽	65536	152765	3	{i=0}
-152769	言情小	116936	191251	1	null
-152770	章目	65536	31456	3	{n=1}
-152771	班房	65536	29677	3	{n=0}
-152772	承袭	65536	25215	3	{v=0}
-152773	言无二价	65536	152892	3	{l=0}
-152774	言犹在	119957	195847	1	null
-152775	测验	65536	27979	3	{v=0, vn=0}
-152776	言犹在耳	65536	152774	3	{i=1}
-152777	投桃	90006	25237	1	null
-152778	言简意	116618	198094	1	null
-152779	觉世	65536	35273	3	{v=1}
-152780	晚练	65536	26202	3	{v=2}
-152781	步频	65536	27493	3	{n=0}
-152782	投案	65536	25237	3	{v=0}
-152783	言简意赅	65536	152778	3	{i=1}
-152784	言者无	120169	199251	1	null
-152785	菊花茶	65536	159876	3	{n=0}
-152786	献血	106682	29486	2	{v=16, vn=8}
-152787	言者无罪	65536	152784	3	{i=0}
-152788	言而无信	65536	152790	3	{i=0}
-152789	蜥蜴	65536	34597	3	{n=0}
-152790	言而无	132339	199258	1	null
-152791	学者	81200	23398	2	{n=139}
-152792	棋联	65536	26827	3	{j=1}
-152793	观测台	65536	185562	3	{n=0}
-152794	言而有信	65536	153087	3	{i=1}
-152795	言行一致	65536	152797	3	{i=0}
-152796	暴徒	65536	26292	3	{n=1}
-152797	言行一	119527	201370	1	null
-152798	学而	84532	23398	1	null
-152799	家珍	65536	23478	3	{n=0}
-152800	言行不一	65536	152810	3	{i=0}
-152801	螳螂	65536	34739	3	{n=0}
-152802	猛扑	65536	29467	3	{v=0}
-152803	言谈举	125315	202326	1	null
-152804	猛打	65536	29467	3	{v=0}
-152805	言谈举止	65536	152803	3	{i=1}
-152806	祸害	65536	31096	3	{n=1, v=0}
-152807	言过其	129355	203285	1	null
-152808	舅母	65536	33285	3	{n=0}
-152809	言过其实	65536	152807	3	{i=0}
-152810	言行不	132832	201370	1	null
-152811	漏风	108960	28431	2	{v=0}
-152812	誉满全	123117	161173	1	null
-152813	脱氧核	115237	199756	1	null
-152814	誉为	65536	35465	3	{v=31}
-152815	欢声	94244	27426	2	{n=0}
-152816	誉满全球	65536	152812	3	{l=1}
-152817	誊写钢版	65536	161613	3	{l=0}
-152818	蒋墅	112060	33931	2	{ns=0}
-152819	誊写版	65536	152823	3	{n=0}
-152820	誊印社	65536	153294	3	{n=0}
-152821	星占	94635	26143	1	null
-152822	裕兴	65536	35029	3	{nz=4}
-152823	誊写	123563	35466	2	{v=0}
-152824	誓不两	121390	153069	1	null
-152825	誓不两立	65536	152824	3	{i=0}
-152826	誓师大	132579	157160	1	null
-152827	改恶	97743	25913	1	null
-152828	湖底	65536	28246	3	{s=0}
-152829	誓师大会	65536	152826	3	{n=1}
-152830	社区	65536	31038	3	{n=75}
-152831	涉险	65536	28041	3	{v=1}
-152832	舷窗	65536	33335	3	{n=1}
-152833	警务区	65536	199510	3	{n=0, s=3}
-152834	续展	65536	32493	3	{v=1}
-152835	警卫员	65536	199712	3	{n=3}
-152836	干咳	65536	24178	3	{v=0}
-152837	警备区	65536	201148	3	{n=2}
-152838	旅行	98571	26053	2	{v=11, vn=7}
-152839	警察局	65536	201876	3	{n=1}
-152840	警报器	65536	203610	3	{n=17}
-152841	警惕心	65536	203146	3	{n=0}
-152842	大彰	76294	22823	1	null
-152843	综合症	65536	146010	3	{n=1}
-152844	警示录	65536	209391	3	{n=1}
-152845	网络版	65536	197105	3	{n=28}
-152846	警笛声	65536	209872	3	{n=1}
-152847	警觉性	65536	213630	3	{n=1}
-152848	警钟长	112366	216404	1	null
-152849	警钟长鸣	65536	152848	3	{l=2}
-152850	腾挪	65536	33150	3	{v=0}
-152851	绚烂	65536	32474	3	{a=2, an=3}
-152852	疯狂	65536	30127	3	{a=6, ad=1, an=0}
-152853	漫议	65536	28459	3	{vn=1}
-152854	恶计	65536	24694	3	{n=0}
-152855	招生	94921	25307	2	{v=10, vn=12}
-152856	葡萄干	65536	158026	3	{n=6}
-152857	改悔	65536	25913	3	{v=0}
-152858	警长制	65536	216628	3	{n=1}
-152859	生产力	65536	188608	3	{n=101}
-152860	融入	65536	34701	3	{v=25, vn=1}
-152861	盖然	113189	30422	1	null
-152862	生产办	65536	188608	3	{j=0}
-152863	譬喻	65536	35692	3	{v=0}
-152864	招用	65536	25307	3	{v=1}
-152865	警戒线	65536	203463	3	{n=0}
-152866	天怒	80473	22825	1	null
-152867	腊月	65536	33098	3	{t=17}
-152868	譬如说	65536	153830	3	{l=1}
-152869	计件工	116712	169571	1	null
-152870	学联	65536	23398	3	{j=7, n=1}
-152871	潜水	110340	28508	2	{v=2, vn=3}
-152872	欢天	103838	27426	1	null
-152873	疯狗	65536	30127	3	{n=0}
-152874	排偶	65536	25490	3	{n=0}
-152875	平凉	85081	24179	2	{ns=0}
-152876	计件工资	65536	152869	3	{l=0}
-152877	计价器	65536	169572	3	{n=2}
-152878	登记证	65536	167601	3	{n=1}
-152879	计其所	122179	170211	1	null
-152880	计其所短	65536	152879	3	{l=0}
-152881	异趣	65536	24322	3	{n=0}
-152882	秀水街	65536	150041	3	{ns=0}
-152883	计出万	132049	170343	1	null
-152884	波光	65536	27874	3	{n=1}
-152885	洪恩	65536	27946	3	{n=0}
-152886	永发	65536	27704	3	{nz=0}
-152887	天性	65536	22825	3	{n=5}
-152888	独木难	108386	189174	1	null
-152889	计出万全	65536	152883	3	{i=0}
-152890	计划单列	128827	158241	1	null
-152891	螺丝	130654	34746	2	{n=0}
-152892	言无二	132558	192558	1	null
-152893	计划单列市	65536	152890	3	{n=3}
-152894	抗日	90231	25239	2	{j=0, v=9, vn=40}
-152895	计划生育	127758	166891	2	{l=69}
-152896	外线	65536	22806	3	{n=6}
-152897	观测员	65536	185562	3	{n=0}
-152898	稳如	113021	31283	1	null
-152899	平凡	65536	24179	3	{a=38, an=0}
-152900	大循	70352	22823	1	null
-152901	计划生育户	65536	152895	3	{n=10}
-152902	计划经济	65536	169371	3	{n=36}
-152903	政出	95251	25919	1	null
-152904	挂橱	65536	25346	3	{n=0}
-152905	计数器	65536	175325	3	{n=0}
-152906	抗旱	94291	25239	2	{v=7, vn=21}
-152907	补助金	65536	199199	3	{n=7}
-152908	计无所	131924	175437	1	null
-152909	示范校	65536	153264	3	{n=1}
-152910	计无所出	65536	152908	3	{i=0}
-152911	年年	85720	24180	2	{d=0, n=1, q=32}
-152912	外经	76406	22806	1	null
-152913	大德	65536	22823	3	{n=1, ns=0}
-152914	潜江	110479	28508	2	{ns=0}
-152915	计日程	131766	175442	1	null
-152916	芝麻油	65536	168310	3	{n=1}
-152917	计日程功	65536	152915	3	{i=0}
-152918	计时工资	65536	155384	3	{l=0}
-152919	年幼	65536	24180	3	{a=2, n=1}
-152920	枯饼	65536	26543	3	{n=0}
-152921	计步器	65536	176850	3	{n=0}
-152922	滚滚	65536	28378	3	{z=8}
-152923	波兰	107957	27874	2	{ns=32}
-152924	暴怒	65536	26292	3	{a=0}
-152925	计穷力	121458	180708	1	null
-152926	支委	97561	25903	2	{n=0}
-152927	计穷力竭	65536	152925	3	{i=0}
-152928	计算中心	65536	152955	3	{n=0}
-152929	计算机房	65536	159368	3	{n=0}
-152930	恶语	65536	24694	3	{n=2}
-152931	率领	65536	29575	3	{v=38, vn=3}
-152932	硫化黑	65536	139471	3	{n=0}
-152933	稳妥	65536	31283	3	{a=20, ad=4, an=1}
-152934	大忌	65536	22823	3	{n=1}
-152935	行军床	65536	207139	3	{n=0}
-152936	平分	77971	24179	2	{v=0}
-152937	计程仪	65536	180600	3	{n=0}
-152938	计量经济	129548	162029	1	null
-152939	计时员	65536	175459	3	{n=0}
-152940	竖立	65536	31446	3	{v=3}
-152941	警惕性	65536	203146	3	{n=1}
-152942	玩忽	101924	29609	1	null
-152943	漫谈	65536	28459	3	{vn=1}
-152944	年底	65536	24180	3	{f=0, t=46}
-152945	大志	65536	22823	3	{n=1}
-152946	计量经济学	65536	152938	3	{n=3}
-152947	大忙	79816	22823	2	{a=2, an=0, n=1, vn=0}
-152948	计生办	65536	179340	3	{j=0}
-152949	订票处	65536	175686	3	{n=0}
-152950	订货会	65536	180741	3	{n=0}
-152951	订购者	65536	180747	3	{n=0}
-152952	玛雅	114591	29595	1	null
-152953	平列	65536	24179	3	{v=0}
-152954	荧幕	65536	33639	3	{n=0}
-152955	计算中	128413	180996	1	null
-152956	绘声绘色	65536	143993	3	{i=0}
-152957	碎裂	65536	30862	3	{v=0}
-152958	申讨	65536	30003	3	{v=0}
-152959	荆条	65536	33606	3	{n=1}
-152960	袁州	65536	34945	3	{ns=0}
-152961	年度	65536	24180	3	{n=77}
-152962	神秘莫	112119	205277	1	null
-152963	政制	97957	25919	1	null
-152964	计量学	65536	186684	3	{n=0}
-152965	大快	79818	22823	1	null
-152966	秘本	65536	31192	3	{n=0}
-152967	订书机	65536	164676	3	{n=0}
-152968	讣告	65536	35747	3	{n=0}
-152969	认同感	65536	171664	3	{n=1}
-152970	巴甫	80599	24052	1	null
-152971	平利	87718	24179	1	null
-152972	星号	65536	26143	3	{n=0}
-152973	折纹	65536	25240	3	{n=0}
-152974	认定书	65536	173598	3	{n=2}
-152975	认知科	129578	180841	1	null
-152976	认知科学	65536	152975	3	{n=0}
-152977	认认真	122483	185896	1	null
-152978	认认真真	65536	152977	3	{z=4}
-152979	折线	93135	25240	2	{n=0}
-152980	认证费	65536	185925	3	{n=0}
-152981	认识论	65536	185930	3	{n=6}
-152982	认贼作	123745	186304	1	null
-152983	认贼作父	65536	152982	3	{i=0}
-152984	讨人喜	125562	161893	1	null
-152985	外缘	65536	22806	3	{n=0}
-152986	碰簧	101492	30896	1	null
-152987	脱脂棉	65536	205095	3	{n=0}
-152988	讨人喜欢	65536	152984	3	{l=0}
-152989	讨价还价	65536	167054	3	{i=7}
-152990	实线	65536	23454	3	{n=0}
-152991	申诉	115799	30003	2	{v=1, vn=0}
-152992	讥嘲	65536	35749	3	{v=0}
-152993	精神衰	118250	204329	1	null
-152994	疑案	65536	30097	3	{n=0}
-152995	苇帘	125473	33479	1	null
-152996	朝三	96435	26397	1	null
-152997	盗案	65536	30423	3	{n=0}
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-152999	脊索	125910	33034	2	{n=3}
-153000	朝不	102281	26397	1	null
-153001	讨便宜	65536	162154	3	{v=0}
-153002	绘画	120545	32472	2	{n=7, v=1, vn=1}
-153003	薯条	65536	34223	3	{n=2}
-153004	如雷	81821	22914	1	null
-153005	立方米	65536	193602	3	{q=32}
-153006	情由	65536	24773	3	{n=0}
-153007	山寨	65536	23665	3	{n=12}
-153008	讨论会	65536	177509	3	{n=0}
-153009	移步	65536	31227	3	{v=8}
-153010	旧制	65536	26087	3	{n=0}
-153011	虹吸管	65536	151129	3	{n=0}
-153012	讪笑	65536	35754	3	{v=1}
-153013	官衔	65536	23448	3	{n=1}
-153014	苞谷	65536	33502	3	{n=1}
-153015	训练场地	65536	155146	3	{n=0}
-153016	苇席	65536	33479	3	{n=1}
-153017	训练有素	65536	159193	3	{i=0}
-153018	官衙	65536	23448	3	{n=0}
-153019	定盘	79280	23450	1	null
-153020	组织性	65536	172048	3	{n=0}
-153021	议事日	121782	167952	1	null
-153022	硅藻	117100	30789	2	{n=0}
-153023	瓶颈	65536	29942	3	{n=6}
-153024	秦始	110280	31206	1	null
-153025	议事日程	65536	153021	3	{n=15}
-153026	议价粮	65536	168060	3	{n=1}
-153027	快讯	65536	24555	3	{n=1}
-153028	罢教	65536	32610	3	{v=0}
-153029	行政区域	65536	153191	3	{n=5}
-153030	议会制	65536	168095	3	{n=1}
-153031	国门	65536	22269	3	{n=20}
-153032	实绩	65536	23454	3	{n=5}
-153033	议古论	132865	169321	1	null
-153034	申说	65536	30003	3	{v=1}
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-153038	行家里	126363	209726	1	null
-153039	瓷砖	65536	29943	3	{n=0}
-153040	表演史	65536	205650	3	{n=1}
-153041	直肠镜	65536	193782	3	{n=0}
-153042	议定书	65536	171295	3	{n=0}
-153043	地轴	65536	22320	3	{n=0}
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-153045	大总	67495	22823	1	null
-153046	数来	95094	25968	1	null
-153047	缉获	65536	32521	3	{v=0}
-153048	议购粮	65536	183986	3	{n=0}
-153049	类同	65536	31867	3	{v=1}
-153050	突显	65536	31361	3	{v=0}
-153051	议论声	65536	183615	3	{n=1}
-153052	记不清	65536	188078	3	{l=4}
-153053	浅棕	65536	27973	3	{b=1}
-153054	记事本	65536	188204	3	{n=0}
-153055	讯号	65536	35759	3	{n=0}
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-153058	记分册	65536	189095	3	{n=0}
-153059	记工员	65536	192134	3	{n=0}
-153060	观察使	65536	181102	3	{n=0}
-153061	泰维	105658	27888	1	null
-153062	潜泳	65536	28508	3	{n=0}
-153063	记忆力	65536	192615	3	{n=0}
-153064	记忆犹新	65536	161285	3	{i=5}
-153065	记账式	65536	204231	3	{b=1}
-153066	外罩	65536	22806	3	{n=0}
-153067	狐蝠	65536	29392	3	{n=0}
-153068	当夜	65536	24403	3	{t=0}
-153069	誓不	132820	35475	1	null
-153070	政务	97824	25919	2	{n=11}
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-153072	记叙体	65536	189562	3	{n=0}
-153073	波分	65536	27874	3	{n=1, vn=2}
-153074	讲交情	65536	179959	3	{l=0}
-153075	讲习会	65536	179891	3	{n=0}
-153076	训练伤	65536	165407	3	{n=0}
-153077	灭鼠	65536	28781	3	{v=1}
-153078	犯禁	65536	29359	3	{v=0}
-153079	摆针	65536	25670	3	{n=0}
-153080	申谢	65536	30003	3	{v=0}
-153081	当天	65536	24403	3	{t=79}
-153082	盲点	65536	30450	3	{n=2}
-153083	讲师团	65536	183899	3	{n=2}
-153084	安检	83388	23433	2	{j=0}
-153085	条几	65536	26465	3	{n=0}
-153086	胜利者	65536	164971	3	{n=0}
-153087	言而有	132345	199258	1	null
-153088	窜逃	65536	31388	3	{v=0}
-153089	联合政	121867	197495	1	null
-153090	生产厂	65536	188608	3	{n=3}
-153091	大恩	77154	22823	1	null
-153092	当头	90938	24403	2	{d=0, v=1}
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-153094	示范棚	65536	153264	3	{n=0}
-153095	讲情面	65536	184600	3	{l=1}
-153096	景阳	100655	26223	1	null
-153097	螺丝垫	65536	152891	3	{n=0}
-153098	讲排场	65536	185317	3	{l=1, v=1}
-153099	荷包	115124	33655	2	{n=1}
-153100	讲演稿	65536	188263	3	{n=0}
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-153102	摆钟	65536	25670	3	{n=0}
-153103	讲用会	65536	189819	3	{n=1}
-153104	条凳	65536	26465	3	{n=0}
-153105	国防	75910	22269	2	{b=1, n=87, vn=1}
-153106	讲经说	125249	192290	1	null
-153107	记者会	65536	200870	3	{n=2}
-153108	波利	102129	27874	1	null
-153109	碧眼	65536	30887	3	{n=0}
-153110	讲经说法	65536	153106	3	{i=0}
-153111	脐疝	65536	33040	3	{n=0}
-153112	讲解员	65536	195126	3	{n=0}
-153113	朝乾	99928	26397	1	null
-153114	讲话稿	65536	195632	3	{n=1}
-153115	蝉蜕	65536	34633	3	{n=0}
-153116	社员	65536	31038	3	{n=1}
-153117	讲面子	65536	198581	3	{v=0}
-153118	言之有理	65536	158090	3	{i=0}
-153119	天意	65536	22825	3	{n=0}
-153120	讳疾忌	131814	153173	1	null
-153121	讳疾忌医	65536	153120	3	{i=0}
-153122	多级	70719	22810	2	{b=0}
-153123	条分	91039	26465	1	null
-153124	国际	84716	22269	2	{n=1008}
-153125	讳病忌	131820	153180	1	null
-153126	猎潜	101101	29454	1	null
-153127	讳病忌医	65536	153125	3	{i=0}
-153128	讳莫如	124986	156738	1	null
-153129	理事长	65536	174253	3	{n=9}
-153130	湖心	111027	28246	2	{n=1}
-153131	讳莫如深	65536	153128	3	{i=1}
-153132	讴歌	65536	35764	3	{v=12, vn=5}
-153133	讶异	65536	35766	3	{v=1}
-153134	标准规	65536	149778	3	{n=0}
-153135	讷河市	65536	153138	3	{ns=0}
-153136	欢娱	65536	27426	3	{a=1, an=0}
-153137	许可证	116986	154597	2	{n=18}
-153138	讷河	129069	35767	1	null
-153139	许可证费	65536	153137	3	{n=1}
-153140	潜流	65536	28508	3	{n=1}
-153141	工工	82214	24037	1	null
-153142	许家坝	65536	156588	3	{ns=3}
-153143	工巧	65536	24037	3	{a=0}
-153144	山山	84026	23665	1	null
-153145	大悟	78541	22823	1	null
-153146	家用	75811	23478	2	{b=2, n=0}
-153147	许久	65536	35768	3	{m=3}
-153148	许昌县	65536	159234	3	{ns=0}
-153149	竞争者	65536	142860	3	{n=1}
-153150	定睛	65536	23450	3	{d=0}
-153151	许许多	130343	168878	1	null
-153152	训令	65536	35757	3	{n=0}
-153153	许许多多	65536	153151	3	{m=6}
-153154	断定	65536	26029	3	{v=1}
-153155	行政化	65536	212167	3	{v=2}
-153156	自卫权	65536	207515	3	{n=1}
-153157	论功行	116986	175767	1	null
-153158	微薄	65536	24494	3	{a=5, an=0}
-153159	家电	65536	23478	3	{j=28, n=0}
-153160	管理学	65536	197816	3	{n=1}
-153161	论功行赏	65536	153157	3	{i=0}
-153162	论坛会	65536	176979	3	{n=3}
-153163	论文集	65536	180607	3	{n=0}
-153164	大悲	77158	22823	1	null
-153165	论斤计	133162	180636	1	null
-153166	论斤计两	65536	153165	3	{l=0}
-153167	论理学	65536	184318	3	{n=0}
-153168	瓷碗	65536	29943	3	{n=1}
-153169	论证会	65536	190393	3	{n=0}
-153170	论资排	116434	190780	1	null
-153171	讹传	65536	35769	3	{n=0}
-153172	寒趣	65536	23506	3	{n=1}
-153173	讳疾	128596	35763	1	null
-153174	论说体	65536	190444	3	{n=0}
-153175	衰变	65536	34928	3	{v=0}
-153176	斗酒	88631	26007	1	null
-153177	指头	83426	25351	2	{n=3}
-153178	论资排辈	65536	153170	3	{l=0}
-153179	炒货	65536	28818	3	{n=4}
-153180	讳病	128601	35763	1	null
-153181	移民	117178	31227	2	{n=52, v=3, vn=4}
-153182	山岗	65536	23665	3	{n=1}
-153183	论黄数	112527	195260	1	null
-153184	论黄数黑	65536	153183	3	{i=0}
-153185	标引	88549	26631	1	null
-153186	桂西	65536	26690	3	{ns=0}
-153187	肛道	65536	32923	3	{n=0}
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-153189	肃清	65536	32899	3	{v=1}
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-153193	设身处地	65536	153192	3	{i=2}
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-153196	讽刺	65536	35773	3	{v=3, vd=0, vn=5}
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-153199	访贫问	119690	169357	1	null
-153200	访贫问苦	65536	153199	3	{i=4}
-153201	访问团	65536	171600	3	{n=1}
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-153205	细菌肥	117668	205336	1	null
-153206	证交所	65536	170270	3	{j=1}
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-153208	稿约	65536	31295	3	{n=0}
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-153210	山岳	65536	23665	3	{n=0, nr=1}
-153211	竞相	65536	31454	3	{d=16}
-153212	蔡家	128204	34081	1	null
-153213	外翼	65536	22806	3	{n=0}
-153214	朝代	65536	26397	3	{n=1}
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-153216	玩意	65536	29609	3	{n=2}
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-153219	诀别	65536	35776	3	{v=1, vn=0}
-153220	枯骨	65536	26543	3	{n=0}
-153221	糟行	65536	31967	3	{n=0}
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-153226	稿纸	65536	31295	3	{n=0}
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-153228	肺动	113499	32954	1	null
-153229	证券业	65536	171186	3	{n=9}
-153230	评先树	132984	195374	1	null
-153231	纹理	65536	32441	3	{n=1}
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-153234	糊精	65536	31946	3	{n=0}
-153235	波动	65536	27874	3	{n=1, v=8, vn=18}
-153236	强攻	65536	24378	3	{v=0, vn=3}
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-153239	评功论	117065	195717	1	null
-153240	评功论赏	65536	153239	3	{l=0}
-153241	褥垫	65536	35109	3	{n=0}
-153242	评头品足	65536	153247	3	{i=1}
-153243	欧锦	89666	27431	1	null
-153244	政协	65536	25919	3	{j=306, n=0, v=0}
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-153246	糊糊	65536	31946	3	{n=0}
-153247	评头品	116967	197402	1	null
-153248	腊梅	65536	33098	3	{n=3}
-153249	簿籍	65536	31807	3	{n=0}
-153250	急流	91393	24613	2	{n=0}
-153251	评头论足	65536	167320	3	{i=1}
-153252	恶贯	84689	24694	1	null
-153253	强敌	65536	24378	3	{n=0}
-153254	登记费	65536	167601	3	{n=0}
-153255	评委会	65536	197562	3	{j=0, n=10}
-153256	山峡	65536	23665	3	{n=0}
-153257	大意	77157	22823	2	{a=0, n=2, v=0}
-153258	好端	70506	22909	1	null
-153259	评估价	65536	194838	3	{n=0}
-153260	监察部	99358	159387	2	{n=2, nt=8}
-153261	山峦	65536	23665	3	{n=1}
-153262	罪恶	116549	32618	2	{n=4}
-153263	稀奇	119335	31232	2	{a=3}
-153264	示范	126252	31034	2	{v=4, vd=0, vn=46}
-153265	总书	76966	24635	1	null
-153266	地道	72071	22320	2	{a=5, n=0}
-153267	评析性	65536	201078	3	{n=1}
-153268	外耳	65881	22806	2	{n=0}
-153269	诅咒	65536	35781	3	{v=0}
-153270	识别码	65536	153837	3	{n=0}
-153271	山峰	65536	23665	3	{n=4}
-153272	识字班	65536	156185	3	{n=0}
-153273	评论员	65536	210336	3	{n=20}
-153274	识文断	129894	158793	1	null
-153275	晚育	65536	26202	3	{v=1}
-153276	设计员	65536	179920	3	{n=0}
-153277	识文断字	65536	153274	3	{i=0}
-153278	识时务	65536	158904	3	{l=0}
-153279	识破天	126856	163574	1	null
-153280	羊皮鼓	65536	197864	3	{n=0}
-153281	艺术化	65536	168482	3	{v=0}
-153282	识破天机	65536	153279	3	{l=0}
-153283	识途老	113752	169686	1	null
-153284	识途老马	65536	153283	3	{i=0}
-153285	罩盖	65536	32617	3	{n=0}
-153286	挂毯	65536	25346	3	{n=1}
-153287	袜带	65536	34972	3	{n=0}
-153288	换汇	65536	25442	3	{v=0}
-153289	平卧	65536	24179	3	{v=0}
-153290	索然	116692	32034	2	{z=1}
-153291	排列	65536	25490	3	{v=6, vn=1}
-153292	好笑	65536	22909	3	{a=1}
-153293	融化	65536	34701	3	{v=14, vn=0}
-153294	誊印	121782	35466	2	{v=0}
-153295	诈骗犯	65536	171622	3	{n=0}
-153296	裕华	65536	35029	3	{nz=0}
-153297	诉讼法	65536	168247	3	{n=0}
-153298	多罗	67644	22810	1	null
-153299	诉诸武	132153	168307	1	null
-153300	诉诸武力	65536	153299	3	{l=0}
-153301	山崎	65536	23665	3	{nr=0}
-153302	目不见	107370	156302	1	null
-153303	营养师	65536	169568	3	{n=0}
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-153305	诊察室	65536	153585	3	{n=0}
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-153311	工序	65536	24037	3	{n=4}
-153312	步骤	65536	27493	3	{n=26}
-153313	词不达	128473	195798	1	null
-153314	大慈	77172	22823	1	null
-153315	湘阴	109750	28248	2	{ns=0}
-153316	诊断书	65536	156095	3	{n=0}
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-153318	空白行	65536	202511	3	{n=0}
-153319	百科辞	116541	192938	1	null
-153320	词不达意	65536	153313	3	{i=0}
-153321	词作家	65536	196133	3	{n=2}
-153322	断层	96737	26029	2	{n=2}
-153323	实而	85581	23454	1	null
-153324	词典学	65536	196673	3	{n=0}
-153325	炼钢	103842	28860	2	{v=0, vn=0}
-153326	改扩	93610	25913	1	null
-153327	观光团	65536	178392	3	{n=0}
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-153329	登台	65536	30331	3	{v=15}
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-153333	覆灭	65536	35206	3	{v=1, vn=0}
-153334	荆棘	112625	33606	2	{n=5}
-153335	诏书	65536	35791	3	{n=0}
-153336	荡妇	65536	33633	3	{n=0}
-153337	诊疗学	65536	160169	3	{n=0}
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-153339	词汇学	65536	203536	3	{n=0}
-153340	荷叶	65536	33655	3	{n=0}
-153341	自食其果	65536	147963	3	{i=0}
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-153343	畏途	65536	30031	3	{n=0}
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-153345	平原	65536	24179	3	{n=20, ns=0}
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-153348	译意风	65536	171738	3	{n=0}
-153349	总人	91257	24635	1	null
-153350	译码器	65536	177612	3	{n=0}
-153351	诓骗	65536	35795	3	{v=0}
-153352	胚根	65536	32986	3	{n=0}
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-153356	炼铁	65536	28860	3	{v=0, vn=0}
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-153362	试电笔	65536	204776	3	{n=0}
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-153365	插页	65536	25554	3	{n=0}
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-153436	诗词选	65536	207108	3	{n=0}
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-153448	诊断仪	65536	156095	3	{n=1}
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-153454	永嘉	106215	27704	1	null
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-153476	话中有	117672	168026	1	null
-153477	话中有话	65536	153476	3	{i=0}
-153478	琐闻	65536	29712	3	{n=0}
-153479	的里	98912	30340	1	null
-153480	暴戾	65536	26292	3	{a=0}
-153481	话匣子	65536	169296	3	{n=1}
-153482	建设	88644	24314	2	{n=0, v=356, vd=0, vn=1388}
-153483	炮手	65536	28846	3	{n=0}
-153484	山巅	65536	23665	3	{n=2, s=0}
-153485	警卫团	65536	199712	3	{n=0}
-153486	桑象	90453	26705	1	null
-153487	布谷	68300	24067	2	{n=0}
-153488	话外音	65536	170819	3	{n=0}
-153489	葵花子	65536	158569	3	{n=0}
-153490	望闻	84328	26395	1	null
-153491	话家常	65536	171491	3	{v=0}
-153492	育林	65536	32946	3	{v=0}
-153493	试点县	65536	203628	3	{n=0}
-153494	牢靠	65536	29282	3	{a=1}
-153495	征集	78747	24449	2	{v=1, vn=9}
-153496	换洗	65536	25442	3	{v=2}
-153497	话里带刺	65536	153498	3	{l=0}
-153498	话里带	132447	185337	1	null
-153499	话里有话	65536	155773	3	{i=0}
-153500	情真	88489	24773	1	null
-153501	艺术史	65536	168482	3	{n=4}
-153502	总体	88128	24635	2	{b=1, d=1, n=101}
-153503	话闸子	65536	186405	3	{l=1}
-153504	秦宫	65536	31206	3	{n=1}
-153505	诞生地	65536	153520	3	{n=1}
-153506	对照	71525	23545	2	{p=0, v=7, vd=0, vn=5}
-153507	话剧史	65536	169108	3	{n=3}
-153508	山川	65536	23665	3	{n=9, nz=0}
-153509	诈取	65536	35784	3	{v=0}
-153510	纪事	65536	32426	3	{n=4}
-153511	续建	65536	32493	3	{v=3, vn=0}
-153512	欧阳	65536	27431	3	{nr=1}
-153513	大戏	65536	22823	3	{n=3}
-153514	大成	65536	22823	3	{n=2, nz=1, vn=0}
-153515	大我	65536	22823	3	{n=0}
-153516	绥棱	122765	32485	1	null
-153517	牧工	65536	29287	3	{n=0}
-153518	急湍	84354	24613	2	{n=0}
-153519	畅销	116185	30021	2	{a=2, an=0, v=10, vn=0}
-153520	诞生	131185	35806	2	{v=34, vn=5}
-153521	膻气	65536	33211	3	{n=0}
-153522	大战	65536	22823	3	{n=9, v=4, vn=0}
-153523	欢宴	65536	27426	3	{n=1, v=1}
-153524	般般	65536	33324	3	{z=1}
-153525	波及	65536	27874	3	{v=15, vn=2}
-153526	诊室	65536	35786	3	{n=0}
-153527	诟病	65536	35807	3	{n=0}
-153528	诠释	65536	35808	3	{v=5, vn=1}
-153529	诡计多	122068	165106	1	null
-153530	箭石	65536	31661	3	{n=0}
-153531	承认	65536	25215	3	{v=48, vn=4}
-153532	玩手	107202	29609	1	null
-153533	老虎灶	65536	219823	3	{n=0}
-153534	潜滋	105652	28508	1	null
-153535	融合	65536	34701	3	{v=14, vd=0, vn=4}
-153536	蔫头	117758	34091	1	null
-153537	玻璃缸	65536	143711	3	{n=1}
-153538	换流	85242	25442	1	null
-153539	诡计多端	65536	153529	3	{i=0}
-153540	莫可指	123736	167826	1	null
-153541	激怒	65536	28608	3	{v=1}
-153542	生产商	65536	188608	3	{n=5}
-153543	话务台	65536	169166	3	{n=0}
-153544	白山黑	109259	196959	1	null
-153545	诡辩术	65536	166138	3	{n=0}
-153546	支局	65536	25903	3	{n=6}
-153547	询问	130762	35810	2	{v=36, vn=3}
-153548	猛攻	65536	29467	3	{v=0, vn=0}
-153549	磷虾	65536	30967	3	{n=0}
-153550	询问处	65536	153547	3	{n=0}
-153551	绪言	65536	32490	3	{n=0}
-153552	牧师	65536	29287	3	{n=1}
-153553	大户	65536	22823	3	{n=22}
-153554	国音	65536	22269	3	{n=0}
-153555	续弦	65536	32493	3	{v=0}
-153556	该当何	117788	204214	1	null
-153557	多聚	67547	22810	1	null
-153558	该当何论	65536	153556	3	{i=0}
-153559	棉毛	90173	26825	1	null
-153560	详详细	121109	168203	1	null
-153561	诤友	65536	35812	3	{n=1}
-153562	肺叶	65536	32954	3	{n=0}
-153563	详详细细	65536	153560	3	{z=0}
-153564	诧异	65536	35815	3	{a=0}
-153565	篇章	65536	31687	3	{n=15}
-153566	淡月	65536	28129	3	{n=0}
-153567	章程	65536	31456	3	{n=17}
-153568	诫勉	65536	35819	3	{v=6, vn=4}
-153569	诨号	65536	35816	3	{n=0}
-153570	语义哲	130174	192463	1	null
-153571	波司	98498	27874	1	null
-153572	语义哲学	65536	153570	3	{l=0}
-153573	大手	77174	22823	1	null
-153574	语体文	65536	192729	3	{n=0}
-153575	改换	65536	25913	3	{v=2}
-153576	答理	65536	31572	3	{v=0}
-153577	端坐	65536	31471	3	{v=1}
-153578	练习簿	65536	154456	3	{n=0}
-153579	整治	65536	25972	3	{v=17, vn=11}
-153580	语助词	65536	193583	3	{n=0}
-153581	大打	79019	22823	1	null
-153582	平和	87721	24179	2	{a=4, an=0}
-153583	语惊四	129353	197200	1	null
-153584	语惊四座	65536	153583	3	{l=1}
-153585	诊察	129845	35786	2	{v=0}
-153586	玻璃罩	65536	143711	3	{n=0}
-153587	语文课	65536	198413	3	{n=0}
-153588	语料库	65536	198431	3	{n=0}
-153589	诬告	65536	35820	3	{v=0}
-153590	荣誉感	65536	177533	3	{n=2}
-153591	诨名	65536	35816	3	{n=0}
-153592	语无伦	126168	198502	1	null
-153593	语无伦次	65536	153592	3	{i=0}
-153594	语气助	117806	200090	1	null
-153595	语气助词	65536	153594	3	{n=0}
-153596	联合机	65536	197495	3	{n=0}
-153597	急溜	84281	24613	1	null
-153598	累垮	65536	32047	3	{v=0}
-153599	语法学	65536	200283	3	{n=0}
-153600	筒裙	65536	31570	3	{n=0}
-153601	疯疯	106168	30127	1	null
-153602	浓浓	99440	27987	2	{z=7}
-153603	排协	65536	25490	3	{j=3}
-153604	证明信	65536	176264	3	{n=2}
-153605	大扫	65857	22823	1	null
-153606	语源学	65536	200726	3	{n=0}
-153607	苹果树	65536	149210	3	{n=1}
-153608	德雅	65536	24503	3	{nz=0}
-153609	语焉不	117796	201359	1	null
-153610	语焉不详	65536	153609	3	{i=1}
-153611	筒裤	65536	31570	3	{n=0}
-153612	语言学	65536	207750	3	{n=0}
-153613	强暴	65536	24378	3	{n=1, v=1}
-153614	改掉	65536	25913	3	{v=2}
-153615	市镇	65536	24066	3	{n=0}
-153616	语重心	115353	209747	1	null
-153617	承诺	94109	25215	2	{n=0, v=36, vn=30}
-153618	烦难	65536	28902	3	{a=0}
-153619	大批	65633	22823	2	{m=47, q=0}
-153620	耗油量	65536	155850	3	{n=0}
-153621	瑞郎	65536	29790	3	{j=1}
-153622	耍花腔	65536	170377	3	{l=0}
-153623	疯病	65536	30127	3	{n=0}
-153624	语重心长	65536	153616	3	{i=6}
-153625	自讨苦	126430	221912	1	null
-153626	如饥	81832	22914	1	null
-153627	语重情长	65536	153874	3	{l=0}
-153628	肺吸	112122	32954	1	null
-153629	应运	77048	24212	1	null
-153630	蚁巢	65536	34433	3	{n=0}
-153631	干城	77596	24178	1	null
-153632	看得起	65536	172632	3	{v=0}
-153633	真情难	103224	191346	1	null
-153634	科工贸	65536	187335	3	{j=4}
-153635	蒋家	127700	33931	1	null
-153636	排印	65536	25490	3	{v=0}
-153637	血流成	123614	209378	1	null
-153638	普氏	65536	26222	3	{b=0}
-153639	董事局	65536	150230	3	{n=3}
-153640	误人子	129292	159857	1	null
-153641	排卵	90429	25490	2	{vn=3}
-153642	膨松	126404	33192	1	null
-153643	误人子弟	65536	153640	3	{i=0}
-153644	语音学	65536	211321	3	{n=0}
-153645	误入歧	116762	160540	1	null
-153646	误入歧途	65536	153645	3	{i=0}
-153647	话务员	65536	169166	3	{n=2}
-153648	误差率	65536	163749	3	{n=0}
-153649	整洁	65536	25972	3	{a=16, an=1}
-153650	狭隘	109768	29421	2	{a=3, an=0}
-153651	献计	105046	29486	2	{v=0}
-153652	异邦	65536	24322	3	{n=1}
-153653	根系	65536	26681	3	{n=0}
-153654	老黄牛	65536	226085	3	{n=3}
-153655	误报率	65536	164956	3	{n=0}
-153656	继往	119898	32487	1	null
-153657	混莽	65536	28151	3	{a=0}
-153658	德雷	90855	24503	1	null
-153659	纪传	123071	32426	1	null
-153660	燕王	65536	29141	3	{n=0}
-153661	航天桥	65536	165364	3	{ns=0}
-153662	秤钩	65536	31204	3	{n=0}
-153663	大报	65536	22823	3	{n=0}
-153664	误码率	65536	170424	3	{n=0}
-153665	定神	65536	23450	3	{v=0}
-153666	美容美	123604	194425	1	null
-153667	规模型	65536	171310	3	{b=0}
-153668	折腰	65536	25240	3	{v=0}
-153669	褥套	65536	35109	3	{n=0}
-153670	盒饭	65536	30418	3	{n=1}
-153671	市长	65536	24066	3	{n=109}
-153672	编译程	120338	207830	1	null
-153673	家眷	65536	23478	3	{n=0}
-153674	瓷窑	65536	29943	3	{n=0}
-153675	山庄	65536	23665	3	{n=0}
-153676	胡椒面	65536	191962	3	{n=0}
-153677	絮絮	121548	32110	1	null
-153678	误认为	65536	175451	3	{v=2}
-153679	大抵	65536	22823	3	{d=5}
-153680	板上	85822	26495	1	null
-153681	诰封	65536	35824	3	{vn=0}
-153682	折腾	65536	25240	3	{v=0, vn=0}
-153683	诡异	65536	35809	3	{a=1}
-153684	诱惑力	65536	172133	3	{n=4}
-153685	多胚	69524	22810	1	null
-153686	应选	89681	24212	2	{nr=0, v=0}
-153687	标准语	65536	149778	3	{n=0}
-153688	诱拐者	65536	172644	3	{n=0}
-153689	诱导性	65536	170896	3	{n=0}
-153690	格物	91411	26684	1	null
-153691	诱敌深	132856	173280	1	null
-153692	景颇	95461	26223	1	null
-153693	诱敌深入	65536	153691	3	{l=0}
-153694	营业室	65536	168703	3	{n=2}
-153695	献词	65536	29486	3	{n=1}
-153696	绑票	65536	32465	3	{v=0}
-153697	大拇	74658	22823	1	null
-153698	强有	89657	24378	1	null
-153699	救苦	92356	25937	1	null
-153700	诱虫灯	65536	181759	3	{n=0}
-153701	诱骗性	65536	186923	3	{n=0}
-153702	秦山	65536	31206	3	{ns=14}
-153703	烈酒	65536	28872	3	{n=0}
-153704	当官	65536	24403	3	{v=2, vn=0}
-153705	芬兰文	65536	148577	3	{nz=0}
-153706	语音室	65536	211321	3	{n=1}
-153707	诲人	133728	35826	1	null
-153708	艺术品	65536	168482	3	{n=27}
-153709	诲人不	133192	153707	1	null
-153710	诲人不倦	65536	153709	3	{i=0}
-153711	推三	78581	25512	1	null
-153712	土鲮	65542	22303	1	null
-153713	整流	96513	25972	2	{n=0, vn=0}
-153714	诲淫诲	123293	161692	1	null
-153715	芦山	127114	33446	2	{ns=0}
-153716	诲淫诲盗	65536	153714	3	{i=0}
-153717	箱笼	65536	31665	3	{n=0}
-153718	致富线	65536	162707	3	{n=0}
-153719	星团	65536	26143	3	{n=3}
-153720	激情	65536	28608	3	{n=16}
-153721	诳话	65536	35827	3	{n=0}
-153722	注脚	65536	27880	3	{n=0}
-153723	灌阳	65536	28748	3	{ns=0}
-153724	衷曲	65536	34935	3	{n=0}
-153725	疯瘫	65536	30127	3	{n=0}
-153726	焊缝	65536	28938	3	{n=0}
-153727	说一不	133620	200565	1	null
-153728	说一不二	65536	153727	3	{i=0}
-153729	说三道	131495	200574	1	null
-153730	说三道四	65536	153729	3	{i=0}
-153731	安歇	65536	23433	3	{v=0}
-153732	说不过去	65536	170571	3	{l=0}
-153733	片片	65536	29255	3	{n=0, q=3}
-153734	当家	90604	24403	2	{v=4, vn=3}
-153735	总值	65536	24635	3	{n=18}
-153736	说东道	118539	200593	1	null
-153737	柳丝	65536	26611	3	{n=0}
-153738	说东道西	65536	153736	3	{i=0}
-153739	晚节	65536	26202	3	{n=4}
-153740	说了算	65536	200699	3	{l=7}
-153741	说到做到	65536	153755	3	{l=0}
-153742	说不上	65536	200578	3	{l=1}
-153743	说唱文	130347	202406	1	null
-153744	浓淡	65536	27987	3	{n=1}
-153745	说唱文学	65536	153743	3	{l=0}
-153746	说大话	65536	203420	3	{l=0}
-153747	星图	65536	26143	3	{n=0}
-153748	说实话	65536	204051	3	{l=4}
-153749	祝贺	119549	31069	2	{v=64, vn=27}
-153750	对牛	82070	23545	1	null
-153751	探照	88146	25506	1	null
-153752	土鳖	65536	22303	3	{n=0}
-153753	说得过去	65536	164120	3	{l=0}
-153754	普沃	87881	26222	1	null
-153755	说到做	132701	201637	1	null
-153756	强权	84886	24378	2	{n=1}
-153757	纺织界	65536	156090	3	{n=1}
-153758	得过	91389	24471	1	null
-153759	联系汇	116543	207978	1	null
-153760	说怪话	65536	205215	3	{v=0}
-153761	安步	80578	23433	1	null
-153762	秦岭	65536	31206	3	{ns=3}
-153763	接下	90490	25509	1	null
-153764	推举	65536	25512	3	{v=4, vn=0}
-153765	说情风	65536	205370	3	{n=4}
-153766	社团	65536	31038	3	{n=30}
-153767	说服力	65536	206978	3	{n=3}
-153768	蔺草	65536	34106	3	{n=0}
-153769	警戒艇	65536	203463	3	{n=0}
-153770	说来话	115502	207066	1	null
-153771	外航	65536	22806	3	{j=0}
-153772	板书	65536	26495	3	{n=0, v=0}
-153773	说来话长	65536	153770	3	{l=0}
-153774	记分员	65536	189095	3	{n=0}
-153775	说梦话	65536	207387	3	{l=0}
-153776	落地灯	65536	197904	3	{n=0}
-153777	说明书	65536	206723	3	{n=2}
-153778	矩阵	65536	30697	3	{n=0}
-153779	袖口	65536	34966	3	{n=2}
-153780	说法不	133818	208458	1	null
-153781	梅陇	93525	26757	1	null
-153782	说得来	65536	205068	3	{l=0}
-153783	归队	65536	24402	3	{v=2}
-153784	汤碗	65536	27748	3	{n=0}
-153785	秤锤	65536	31204	3	{n=0}
-153786	说法不一	65536	153780	3	{l=1}
-153787	蓬乱	65536	34028	3	{a=0}
-153788	炸鸡	65536	28856	3	{n=1}
-153789	疯癫	65536	30127	3	{v=0}
-153790	西南非	65536	209935	3	{n=0}
-153791	指定	65536	25351	3	{v=22, vn=2}
-153792	未雨	90516	26410	1	null
-153793	排名	95832	25490	2	{v=17, vn=2}
-153794	说瞎话	65536	211203	3	{l=0}
-153795	说短论	115526	211298	1	null
-153796	篇篇	65536	31687	3	{n=0, q=2}
-153797	说短论长	65536	153795	3	{i=0}
-153798	自相矛	117399	216616	1	null
-153799	类固	105071	31867	1	null
-153800	说破嘴	65536	211369	3	{l=0}
-153801	说空话	65536	211951	3	{l=0}
-153802	滑润	103572	28369	2	{a=0}
-153803	说笑话	65536	212102	3	{l=0}
-153804	说胡话	65536	213590	3	{l=0}
-153805	应邀	65536	24212	3	{v=25, vd=0}
-153806	胎儿	65536	32974	3	{n=1}
-153807	救荒	65536	25937	3	{v=0}
-153808	说话声	65536	216402	3	{n=0}
-153809	说走嘴	65536	216805	3	{l=0}
-153810	实至	84053	23454	1	null
-153811	说长道	123113	218868	1	null
-153812	警戒色	65536	203463	3	{n=0}
-153813	菱湖	65536	33777	3	{ns=0}
-153814	说长道短	65536	153811	3	{i=1}
-153815	激愤	65536	28608	3	{a=0}
-153816	艰苦朴	116293	160732	1	null
-153817	说闲话	65536	218983	3	{l=0}
-153818	箱管	65536	31665	3	{j=0}
-153819	目不识	117975	156302	1	null
-153820	归附	65536	24402	3	{v=1}
-153821	说鬼话	65536	220337	3	{l=0}
-153822	请君入	123891	166191	1	null
-153823	航海法	65536	170562	3	{n=1}
-153824	诵经	65536	35829	3	{v=2}
-153825	请君入瓮	65536	153822	3	{i=0}
-153826	请愿书	65536	169555	3	{n=0}
-153827	诸亲好	132377	164102	1	null
-153828	诸亲好友	65536	153827	3	{n=0}
-153829	归降	65536	24402	3	{v=1}
-153830	譬如	117040	35692	2	{v=8}
-153831	永垂	107704	27704	1	null
-153832	诸城市	65536	166434	3	{ns=3}
-153833	诸多不	133424	166766	1	null
-153834	裹挟	65536	35065	3	{v=0}
-153835	年成	89273	24180	2	{n=2}
-153836	普法	65536	26222	3	{j=0, n=0, vn=2}
-153837	识别	122549	35782	2	{v=3, vn=0}
-153838	碱草	65536	30897	3	{n=0}
-153839	诸多不便	65536	153833	3	{l=2}
-153840	诸如此	121974	166870	1	null
-153841	诸如此类	65536	153840	3	{l=4}
-153842	建账	65536	24314	3	{v=0}
-153843	失言	65536	22833	3	{v=0}
-153844	片状	65536	29255	3	{b=0}
-153845	得逞	65536	24471	3	{v=2}
-153846	祸心	65536	31096	3	{n=0}
-153847	碱荒	65536	30897	3	{n=0}
-153848	诸子百	130371	167332	1	null
-153849	诸子百家	65536	153848	3	{n=0}
-153850	诸宫调	65536	167423	3	{n=0}
-153851	诈唬	65536	35784	3	{v=0}
-153852	归除	65536	24402	3	{n=0}
-153853	类地	107435	31867	1	null
-153854	花红柳	116229	219180	1	null
-153855	花里胡梢	65536	148804	3	{z=0}
-153856	观察力	65536	181102	3	{n=0}
-153857	柳井	65536	26611	3	{nr=0}
-153858	微血	79891	24494	1	null
-153859	老太爷	65536	208267	3	{n=0}
-153860	裤兜	65536	35044	3	{n=0}
-153861	若干	65536	33509	3	{m=44, r=1}
-153862	胎具	65536	32974	3	{n=0}
-153863	诸暨市	65536	170236	3	{ns=0}
-153864	治本	65536	27835	3	{v=6, vn=1}
-153865	诸葛亮会	65536	153867	3	{l=0}
-153866	稀客	65536	31232	3	{n=1}
-153867	诸葛亮	133615	177839	2	{nr=0}
-153868	诺丁汉	65536	153919	3	{ns=0}
-153869	诺基亚	65536	156472	3	{nz=1}
-153870	诺萨斯	65536	167782	3	{n=0}
-153871	物业	65536	29289	3	{n=4, vn=0}
-153872	当局	78151	24403	2	{n=120}
-153873	大捷	65536	22823	3	{n=0}
-153874	语重情	115356	209747	1	null
-153875	诺贝尔	131007	170075	2	{nr=3}
-153876	诺曼底	65536	160314	3	{ns=0}
-153877	诺贝尔奖	65536	153875	3	{nz=0}
-153878	衍射	65536	34893	3	{v=0}
-153879	读写器	65536	161478	3	{n=0}
-153880	瑞金	111182	29790	2	{ns=0}
-153881	篮筐	65536	31726	3	{n=1}
-153882	羊肠线	65536	200410	3	{n=0}
-153883	泰航	65536	27888	3	{j=1}
-153884	读卖新	115491	161923	1	null
-153885	纱窗	65536	32433	3	{n=0}
-153886	读卖新闻	65536	153884	3	{nz=0}
-153887	苛政	65536	33499	3	{n=0}
-153888	广田	65536	24191	3	{nr=0}
-153889	指导	96142	25351	2	{n=3, v=105, vn=126}
-153890	定稿	65536	23450	3	{n=0, v=0, vn=1}
-153891	读后感	65536	162107	3	{n=0}
-153892	接二	80130	25509	1	null
-153893	广电	88267	24191	2	{j=5}
-153894	纲目	65536	32434	3	{n=0}
-153895	衡宝	65536	34913	3	{ns=0}
-153896	归隐	65536	24402	3	{v=0}
-153897	读报栏	65536	165842	3	{n=0}
-153898	得道	88572	24471	1	null
-153899	港汊	65536	28207	3	{n=0}
-153900	读诗班	65536	176388	3	{n=0}
-153901	诽谤	127206	35837	2	{v=1, vn=0}
-153902	诽谤案	65536	153901	3	{n=0}
-153903	课桌椅	65536	173243	3	{n=0}
-153904	物主	65536	29289	3	{n=0}
-153905	推介	65536	25512	3	{v=5, vn=0}
-153906	普洛	88642	26222	1	null
-153907	猎物	65536	29454	3	{n=2}
-153908	稍纵	119503	31245	1	null
-153909	艳情	65536	33395	3	{n=0}
-153910	承负	65536	25215	3	{v=0, vn=1}
-153911	读者群	65536	173362	3	{n=2}
-153912	课程表	65536	177786	3	{n=0}
-153913	投河	65536	25237	3	{v=0}
-153914	课题组	65536	185607	3	{n=10}
-153915	指尖	65536	25351	3	{n=0}
-153916	浅水	65536	27973	3	{n=0}
-153917	课间操	65536	184931	3	{n=0}
-153918	官话	65536	23448	3	{n=1}
-153919	诺丁	126147	35834	1	null
-153920	谁是谁	115171	160105	1	null
-153921	谁是谁非	65536	153920	3	{i=0}
-153922	调三斡	131689	208944	1	null
-153923	建起	65536	24314	3	{v=2}
-153924	调三斡四	65536	153922	3	{i=0}
-153925	恶运	65536	24694	3	{n=0}
-153926	家破	85665	23478	1	null
-153927	调停人	65536	209539	3	{n=2}
-153928	普洱	87883	26222	1	null
-153929	调兵遣	130372	209820	1	null
-153930	调兵遣将	65536	153929	3	{i=2}
-153931	山径	65536	23665	3	{n=0}
-153932	调制器	65536	210013	3	{n=0}
-153933	安民	83412	23433	2	{v=1}
-153934	承贷	89942	25215	2	{v=1, vn=0}
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-153936	血红蛋	121125	213827	1	null
-153937	脊背	65536	33034	3	{n=0}
-153938	调制解调	131820	167111	1	null
-153939	碧空	65536	30887	3	{n=1}
-153940	调制解调器	65536	153938	3	{n=2}
-153941	旱魃	100636	26097	1	null
-153942	梅雨	65536	26757	3	{n=0}
-153943	调剂金	65536	210025	3	{n=1}
-153944	类型	118931	31867	2	{n=30}
-153945	调味品	65536	210586	3	{n=0}
-153946	调和漆	65536	210611	3	{n=0}
-153947	蝇拍	65536	34631	3	{n=0}
-153948	调嘴弄	120659	211035	1	null
-153949	腔骨	65536	33108	3	{n=0}
-153950	归集	81289	24402	2	{j=0, v=2, vn=0}
-153951	调嘴弄舌	65536	153948	3	{i=0}
-153952	竖线	65536	31446	3	{n=0}
-153953	潮田	111920	28526	1	null
-153954	设计图	65536	179920	3	{n=0}
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-153957	苟安	65536	33503	3	{v=1}
-153958	调度员	65536	213197	3	{n=0}
-153959	调整期	65536	214939	3	{n=2}
-153960	调皮鬼	65536	219349	3	{n=0}
-153961	自治机	126917	213995	1	null
-153962	大提	70262	22823	1	null
-153963	调研员	65536	219707	3	{j=0, n=2}
-153964	神经末	113314	206548	1	null
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-153970	自治权	65536	213995	3	{n=10}
-153971	答疑	65536	31572	3	{v=2, vn=1}
-153972	定窑	65536	23450	3	{ns=0}
-153973	票子	65536	31080	3	{n=6}
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-153975	珍禽	110625	29645	2	{n=2}
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-153977	稀少	65536	31232	3	{a=6}
-153978	快车	75333	24555	2	{n=5}
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-153980	楼盖	65536	27004	3	{n=0}
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-153983	申辩	65536	30003	3	{v=3}
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-153985	缺斤短	124699	169976	1	null
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-153988	禽蛋	65536	31165	3	{n=9}
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-154002	数次	65536	25968	3	{m=8}
-154003	接任	65536	25509	3	{v=4}
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-154005	第三系	65536	141883	3	{n=0}
-154006	肃然	110070	32899	2	{a=0, z=1}
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-154010	蟾宫	65536	34814	3	{n=2}
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-154039	总公	91248	24635	1	null
-154040	老爷爷	65536	214680	3	{n=3}
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-154047	柳体	65536	26611	3	{n=0}
-154048	滑溜	65536	28369	3	{a=0}
-154049	谈情说爱	65536	154038	3	{l=0}
-154050	纱笼	65536	32433	3	{n=0}
-154051	谈笑自	120547	180561	1	null
-154052	干女	88257	24178	1	null
-154053	自我标	120686	211265	1	null
-154054	申述	65536	30003	3	{vn=0}
-154055	维吾尔语	65536	144296	3	{nz=0}
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-154061	矢车	105084	30690	1	null
-154062	谈虎色变	65536	154058	3	{i=2}
-154063	绷脸	65536	32503	3	{v=0}
-154064	粪筐	65536	31914	3	{n=0}
-154065	谈言微	134055	184384	1	null
-154066	秦川	65536	31206	3	{ns=1}
-154067	蔓延	65536	34067	3	{v=23, vn=4}
-154068	谈言微中	65536	154065	3	{i=0}
-154069	谋杀案	65536	172455	3	{n=0}
-154070	祸患	65536	31096	3	{n=2}
-154071	招租	65536	25307	3	{v=0}
-154072	纱筒	65536	32433	3	{n=0}
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-154074	物以	101819	29289	1	null
-154075	砂土	65536	30722	3	{n=0}
-154076	调解人	65536	224266	3	{n=4}
-154077	缓一	111956	32531	1	null
-154078	谋财害	132456	182153	1	null
-154079	耻骨	65536	32827	3	{n=0}
-154080	潜热	65536	28508	3	{n=0}
-154081	大摇	77189	22823	1	null
-154082	房舍	65536	25151	3	{n=0}
-154083	治标	65536	27835	3	{v=4, vn=1}
-154084	快运	65536	24555	3	{vn=2}
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-154086	谍报	132496	35853	2	{n=0}
-154087	谋略史	65536	176076	3	{n=1}
-154088	谍报员	65536	154086	3	{n=0}
-154089	秦巴	65536	31206	3	{ns=0}
-154090	葛巾	117502	33883	1	null
-154091	物件	65536	29289	3	{n=0}
-154092	物价	112116	29289	2	{n=86}
-154093	讽喻	65536	35773	3	{n=0}
-154094	谒陵	65536	35858	3	{v=1, vn=0}
-154095	葛布	65536	33883	3	{n=0}
-154096	谓词	65536	35859	3	{n=0}
-154097	谓语句	65536	154128	3	{n=0}
-154098	谕旨	65536	35861	3	{n=0}
-154099	旅费	65536	26053	3	{n=1}
-154100	谗言	65536	35863	3	{n=0}
-154101	谙练	65536	35865	3	{a=0}
-154102	谚语	65536	35866	3	{n=1}
-154103	谛听	65536	35867	3	{v=1}
-154104	调查会	65536	215564	3	{n=2}
-154105	读书人	65536	160659	3	{n=4}
-154106	汗脚	65536	27735	3	{n=0}
-154107	衡山	130183	34913	2	{ns=0}
-154108	谢东村	65536	172720	3	{ns=0}
-154109	治校	65536	27835	3	{v=2}
-154110	谢天谢	131791	175549	1	null
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-154113	砖茶	65536	30742	3	{n=1}
-154114	芽接	65536	33469	3	{n=0}
-154115	谢家阳	131747	176202	1	null
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-154117	确立	65536	30830	3	{v=46, vn=1}
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-154119	耗时	65536	32791	3	{v=0}
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-154123	生产型	65536	188608	3	{b=1}
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-154125	谣言惑	133883	169203	1	null
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-154127	谜团	65536	35868	3	{n=1}
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-154130	谣言惑众	65536	154125	3	{l=0}
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-154135	根绝	65536	26681	3	{v=0}
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-154142	安波	77245	23433	1	null
-154143	激扬	65536	28608	3	{a=0}
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-154146	谨而慎	134106	167091	1	null
-154147	狡黠	65536	29409	3	{a=0}
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-154158	西南风	65536	209935	3	{n=1}
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-154161	支座	65536	25903	3	{n=0}
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-154166	柳俊	65536	26611	3	{nr=0}
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-154169	谬种流传	65536	154164	3	{i=0}
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-154183	砂型	65536	30722	3	{n=0}
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-154187	谷斑皮蠹	65536	154186	3	{n=3}
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-154189	茵陈	115322	33589	1	null
-154190	谷氨酸	65536	183675	3	{n=0}
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-154197	谷贱伤农	65536	154196	3	{i=0}
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-154201	读书会	65536	160659	3	{n=0}
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-154206	纪元	65536	32426	3	{n=0}
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-154209	豆制品	65536	179116	3	{n=1}
-154210	豆瓣儿	116978	187993	1	null
-154211	豆瓣儿酱	65536	154210	3	{n=0}
-154212	总则	65536	24635	3	{n=7}
-154213	望风	97458	26395	2	{v=0}
-154214	豆芽菜	65536	191539	3	{n=0}
-154215	大操	77193	22823	1	null
-154216	蔚山	65536	34074	3	{ns=0}
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-154224	看得过	117608	172632	1	null
-154225	豇豆	65536	35911	3	{n=0}
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-154274	豪情壮志	65536	154273	3	{i=0}
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-154443	财政资本	65536	170105	3	{l=0}
-154444	财政部长	65536	171037	3	{n=10}
-154445	观察哨	65536	181102	3	{n=0}
-154446	虫卵	65536	34411	3	{n=1}
-154447	财神爷	65536	196352	3	{n=0}
-154448	缘由	65536	32536	3	{n=2}
-154449	舅父	65536	33285	3	{n=0}
-154450	舅爷	65536	33285	3	{n=0}
-154451	大方	78502	22823	2	{a=7}
-154452	财神老爷	65536	157977	3	{n=0}
-154453	财综字	65536	197790	3	{j=0}
-154454	财运亨	117576	202098	1	null
-154455	界面	65536	30028	3	{n=0}
-154456	练习	121771	32451	2	{n=0, v=2, vn=1}
-154457	地铺	65536	22320	3	{n=0}
-154458	常见	88875	24120	2	{a=11, v=0}
-154459	稍胜	120902	31245	1	null
-154460	滚瓜	103536	28378	1	null
-154461	常规	83871	24120	2	{n=11}
-154462	荷塘	65536	33655	3	{n=0}
-154463	港湾	65536	28207	3	{n=1}
-154464	胎发	65536	32974	3	{n=0}
-154465	耗材	65536	32791	3	{n=0}
-154466	财运亨通	65536	154454	3	{i=0}
-154467	天晓	76175	22825	1	null
-154468	社会存	117572	151774	1	null
-154469	财迷心	123101	202137	1	null
-154470	肿瘤	115393	32959	2	{n=12}
-154471	祭灵	65536	31085	3	{v=0}
-154472	祭灶	65536	31085	3	{v=0}
-154473	大族	65536	22823	3	{n=0}
-154474	财迷心窍	65536	154469	3	{l=0}
-154475	熟人	65536	29087	3	{n=2}
-154476	朝发	99938	26397	1	null
-154477	缸瓦	65536	32568	3	{n=0}
-154478	财险杯	65536	203787	3	{nz=0}
-154479	汇寄	65536	27719	3	{v=0}
-154480	片甲	113550	29255	1	null
-154481	大旗	65536	22823	3	{n=0}
-154482	社会学	116416	151774	2	{n=20}
-154483	茅台	112021	33541	2	{n=1, nz=0}
-154484	条块	102596	26465	2	{n=2}
-154485	绝对真	114401	195155	1	null
-154486	臣民	65536	33251	3	{n=0}
-154487	浓烈	65536	27987	3	{a=7, v=0}
-154488	芯片	65536	33455	3	{n=5}
-154489	猫鼠	112999	29483	1	null
-154490	大无	69993	22823	1	null
-154491	财革法	65536	204043	3	{j=0}
-154492	责任事故	65536	163748	3	{l=0}
-154493	当庭	65536	24403	3	{d=3, vn=0}
-154494	见微而	121708	203899	1	null
-154495	穗选	65536	31319	3	{v=0}
-154496	情笃	88499	24773	1	null
-154497	责任人员	65536	163795	3	{n=5}
-154498	大旨	65536	22823	3	{n=0}
-154499	强横	72098	24378	2	{a=0}
-154500	责任内阁	65536	164510	3	{n=0}
-154501	稻本	65536	31291	3	{nr=0}
-154502	象牙之	131636	166441	1	null
-154503	益鑫	109776	30410	1	null
-154504	紫外线	65536	187701	3	{n=1}
-154505	证券化	65536	171186	3	{v=0}
-154506	责无旁	118357	165672	1	null
-154507	大旱	65536	22823	3	{n=6}
-154508	责无旁贷	65536	154506	3	{i=3}
-154509	更生	83219	26356	2	{b=0, nr=1}
-154510	浓烟	101409	27987	2	{n=0}
-154511	知心话	65536	166769	3	{n=0}
-154512	责有攸	130111	165969	1	null
-154513	责有攸归	65536	154512	3	{i=0}
-154514	责权利	65536	166027	3	{j=0}
-154515	裂变	65536	35010	3	{n=1, v=5, vn=6}
-154516	承载	94012	25215	2	{v=2, vn=0}
-154517	碧粼	107689	30887	1	null
-154518	蛰居	65536	34544	3	{v=1}
-154519	贤内助	65536	156808	3	{n=1}
-154520	败家子	65536	175024	3	{n=0}
-154521	常言	65536	24120	3	{n=0}
-154522	总协	89299	24635	1	null
-154523	敌众	93070	25932	1	null
-154524	暴晒	65536	26292	3	{v=2, vn=1}
-154525	睡梦	65536	30561	3	{n=2}
-154526	裂口	65536	35010	3	{n=0}
-154527	败血病	65536	186426	3	{n=0}
-154528	见机行	132315	205831	1	null
-154529	败血症	65536	186426	3	{n=0}
-154530	改朝	92484	25913	1	null
-154531	贡品	65536	36129	3	{n=0}
-154532	改期	65536	25913	3	{v=0}
-154533	败诉方	65536	187331	3	{n=0}
-154534	约摸	65536	32422	3	{d=1}
-154535	生产大	97090	188608	1	null
-154536	大明	71779	22823	2	{nz=0}
-154537	竟自	65536	31455	3	{d=0}
-154538	败走麦	132063	187754	1	null
-154539	布道	87300	24067	2	{v=0, vn=0}
-154540	朝向	65536	26397	3	{n=0, v=1}
-154541	败走麦城	65536	154538	3	{i=2}
-154542	敌伪	65536	25932	3	{n=0}
-154543	观光客	65536	178392	3	{n=0}
-154544	访华	130952	35775	2	{v=55, vn=2}
-154545	账户卡	65536	164235	3	{n=13}
-154546	著录	65536	33879	3	{v=0}
-154547	货仓式	65536	192516	3	{b=3}
-154548	货币地租	65536	155611	3	{l=0}
-154549	货币资本	65536	169455	3	{l=0}
-154550	货柜车	65536	198925	3	{n=1}
-154551	货样室	65536	199016	3	{n=0}
-154552	货畅其	126584	202358	1	null
-154553	货畅其流	65536	154552	3	{l=1}
-154554	设计奖	65536	179920	3	{n=2}
-154555	货真价	131103	202832	1	null
-154556	总危	86328	24635	1	null
-154557	货真价实	65536	154555	3	{i=0}
-154558	电话铃	65536	204834	3	{n=1}
-154559	质优价	130298	172075	1	null
-154560	货郎担	65536	209407	3	{n=0}
-154561	货币化	65536	196402	3	{a=0, v=7, vn=19}
-154562	欢心	65536	27426	3	{n=0, v=0}
-154563	质优价廉	65536	154559	3	{i=1}
-154564	物像	65536	29289	3	{n=0}
-154565	知人论	118852	162408	1	null
-154566	质保书	65536	172272	3	{j=0}
-154567	大昭	76481	22823	1	null
-154568	好耍	65536	22909	3	{a=0}
-154569	大是	77205	22823	1	null
-154570	翎翅	65536	32718	3	{n=1}
-154571	极权	103875	26497	2	{n=0}
-154572	安源	65536	23433	3	{ns=0}
-154573	总厂	65536	24635	3	{n=18}
-154574	早安	65536	26089	3	{v=1}
-154575	质因数	65536	174067	3	{n=0}
-154576	桑那	96849	26705	1	null
-154577	街头巷	127990	169404	1	null
-154578	质朴无	133254	178247	1	null
-154579	突击队	65536	147863	3	{n=3}
-154580	质朴无华	65536	154578	3	{l=0}
-154581	质检员	65536	178643	3	{n=0}
-154582	策划者	65536	141961	3	{n=0}
-154583	耀目	65536	32768	3	{a=0}
-154584	大显	68967	22823	2	{nz=0}
-154585	质疑问	115996	181924	1	null
-154586	质疑问难	65536	154585	3	{i=0}
-154587	瘦西	108520	30246	1	null
-154588	虫吃	121677	34411	1	null
-154589	质谱仪	65536	187716	3	{n=0}
-154590	质量上乘	65536	154695	3	{i=2}
-154591	犯罪	113075	29359	2	{n=1, v=51, vn=198}
-154592	谦卑	65536	35878	3	{a=0}
-154593	贪便宜	65536	176212	3	{v=0, vn=1}
-154594	贪大求	133760	178620	1	null
-154595	散落	65536	25955	3	{v=1}
-154596	货运单	65536	209153	3	{n=1}
-154597	许可	117360	35768	2	{nr=1, v=7, vn=2}
-154598	安溪	83566	23433	2	{ns=1}
-154599	承运	95008	25215	2	{v=1, vn=0}
-154600	贪大求全	65536	154594	3	{l=1}
-154601	端子	65536	31471	3	{n=1}
-154602	欢快	65536	27426	3	{a=22, ad=0}
-154603	贪天之	133454	178622	1	null
-154604	建造	65536	24314	3	{v=16, vn=6}
-154605	贪天之功	65536	154603	3	{i=0}
-154606	排场	65536	25490	3	{n=1}
-154607	贪婪无	133220	178943	1	null
-154608	贪婪无厌	65536	154607	3	{i=0}
-154609	浅滩	65536	27973	3	{n=0}
-154610	贪官污	133093	179245	1	null
-154611	花花搭	123109	220219	1	null
-154612	贪官污吏	65536	154610	3	{i=0}
-154613	生物钟	65536	197762	3	{n=0}
-154614	耿耿	125999	32831	1	null
-154615	家童	65536	23478	3	{n=0}
-154616	肛门	65536	32923	3	{n=0}
-154617	窝窝	118549	31389	2	{n=0}
-154618	硅谷	65536	30789	3	{n=1, ns=0}
-154619	贪小失	131799	179364	1	null
-154620	睡椅	65536	30561	3	{n=0}
-154621	接入	84372	25509	2	{v=3, vn=1}
-154622	贪小失大	65536	154619	3	{i=0}
-154623	贪得无	133237	180268	1	null
-154624	汇展	65536	27719	3	{n=1, v=1}
-154625	贪得无厌	65536	154623	3	{i=1}
-154626	对症	86471	23545	1	null
-154627	绛紫	65536	32475	3	{b=0}
-154628	蠕形	130195	34837	1	null
-154629	看不起	65536	168142	3	{v=1}
-154630	贪心不	118360	180312	1	null
-154631	极板	65536	26497	3	{n=0}
-154632	范式	127948	33539	2	{n=2}
-154633	绘影绘色	65536	144002	3	{i=0}
-154634	罚球	65536	32602	3	{v=0, vn=0}
-154635	贪心不足	65536	154630	3	{i=0}
-154636	贪污腐化	65536	158391	3	{i=4}
-154637	总参	76904	24635	2	{j=9}
-154638	贩卖	65536	36137	3	{v=4, vn=0}
-154639	排坛	65536	25490	3	{n=1}
-154640	焊芯	65536	28938	3	{n=0}
-154641	年收	88574	24180	1	null
-154642	焊花	65536	28938	3	{n=4}
-154643	贪生怕	127130	185780	1	null
-154644	大智	77213	22823	1	null
-154645	贪生怕死	65536	154643	3	{i=0}
-154646	贪污犯	65536	183542	3	{n=0}
-154647	贪赃枉	126789	191960	1	null
-154648	失败	68236	22833	2	{v=27, vn=9}
-154649	天有	80683	22825	1	null
-154650	贪赃枉法	65536	154647	3	{i=2}
-154651	德高	85276	24503	1	null
-154652	贫下中	133763	167974	1	null
-154653	畅饮	65536	30021	3	{v=0}
-154654	疾风	115399	30142	2	{n=0}
-154655	贫下中农	65536	154652	3	{j=2}
-154656	贫嘴薄	121368	170063	1	null
-154657	褐斑	121890	35088	2	{n=0}
-154658	当归	65536	24403	3	{n=0}
-154659	详图	65536	35814	3	{n=0}
-154660	贫嘴薄舌	65536	154656	3	{i=0}
-154661	耀眼	65536	32768	3	{a=11}
-154662	贫困帽子	65536	162325	3	{n=2}
-154663	贫壤瘠	132367	170751	1	null
-154664	源语	95923	28304	1	null
-154665	桥隧	65536	26725	3	{n=1}
-154666	腻烦	65536	33147	3	{v=0}
-154667	大暑	65536	22823	3	{t=0}
-154668	抽税	65536	25277	3	{v=0}
-154669	访友	65536	35775	3	{v=1, vn=0}
-154670	贫壤瘠土	65536	154663	3	{l=0}
-154671	盲目	113409	30450	2	{a=9, ad=17, an=0}
-154672	献辞	65536	29486	3	{n=4, v=0}
-154673	行政处	130550	212167	2	{n=1}
-154674	繁殖系	117086	166731	1	null
-154675	记录仪	65536	192502	3	{n=0}
-154676	贫富悬	127147	171495	1	null
-154677	贫富悬殊	65536	154676	3	{i=0, l=1}
-154678	矢量	107609	30690	2	{n=0}
-154679	贫民区	65536	175660	3	{n=1, ns=1}
-154680	贫病交	133531	178144	1	null
-154681	板凳	65536	26495	3	{n=4}
-154682	指引	65536	25351	3	{v=18, vn=15}
-154683	贫病交加	65536	154680	3	{i=0}
-154684	贫雇农	65536	186594	3	{j=0, n=0}
-154685	贬义词	65536	155535	3	{n=0}
-154686	购物券	65536	172997	3	{n=0}
-154687	旱鸭	97291	26097	1	null
-154688	购票卡	65536	174788	3	{n=2}
-154689	购买力	65536	163788	3	{n=9}
-154690	购置费	65536	176330	3	{n=1}
-154691	总司	92562	24635	1	null
-154692	获准	65536	33719	3	{v=3}
-154693	芸香	65536	33464	3	{n=0}
-154694	平壤	85112	24179	2	{ns=6}
-154695	质量上	134534	189154	1	null
-154696	糟踏	65536	31967	3	{v=0}
-154697	购车费	65536	180418	3	{n=1}
-154698	天机	65536	22825	3	{n=2}
-154699	购销两旺	65536	154701	3	{l=0}
-154700	贮存期	65536	155310	3	{n=0}
-154701	购销两	128593	181852	1	null
-154702	大暴	65733	22823	1	null
-154703	警卫室	65536	199712	3	{n=0}
-154704	购货券	65536	179843	3	{n=0}
-154705	贮点红	65536	160783	3	{n=0}
-154706	平声	65536	24179	3	{n=0}
-154707	总合	65536	24635	3	{v=0}
-154708	根脚	65536	26681	3	{n=0}
-154709	贮藏室	65536	166181	3	{n=0}
-154710	绒线衫	65536	155225	3	{n=0}
-154711	干将	65536	24178	3	{n=0}
-154712	贯家堡	128266	158539	2	{ns=0}
-154713	总后	91544	24635	2	{j=4}
-154714	略微	65536	30053	3	{d=1}
-154715	贯家堡村	65536	154712	3	{ns=0}
-154716	贯穿辐	131162	166420	1	null
-154717	贮备	65536	36142	3	{n=0, v=0, vn=0}
-154718	贯穿辐射	65536	154716	3	{l=0}
-154719	脊椎炎	65536	147859	3	{n=0}
-154720	推出	65536	25512	3	{v=138, vn=1}
-154721	贱骨头	65536	174330	3	{n=0}
-154722	贰心	65536	36144	3	{n=0}
-154723	肠伤	122895	32928	1	null
-154724	贲门	65536	36146	3	{n=0}
-154725	贴心人	65536	165011	3	{n=2}
-154726	贴息贷	127273	165183	1	null
-154727	贴息贷款	65536	154726	3	{l=0, n=2}
-154728	相对论	65536	195313	3	{n=2}
-154729	穷光蛋	65536	182310	3	{n=1}
-154730	稻树	65536	31291	3	{n=0}
-154731	羽毛	125197	32701	2	{n=4}
-154732	格登	101034	26684	1	null
-154733	此一	100017	27492	1	null
-154734	贴现率	65536	170112	3	{n=0}
-154735	平复	65536	24179	3	{v=0}
-154736	贴饼子	65536	179788	3	{n=0}
-154737	天条	65536	22825	3	{n=0}
-154738	贵妇人	65536	187298	3	{n=0}
-154739	总吨	92461	24635	1	null
-154740	贵峰村	65536	188171	3	{ns=0}
-154741	抽穗	89293	25277	2	{v=1}
-154742	早就	65536	26089	3	{d=15}
-154743	贵州省	65536	188409	3	{ns=19}
-154744	贵德县	65536	188882	3	{ns=1}
-154745	曲别	83733	26354	1	null
-154746	贵耳贱	124302	197198	1	null
-154747	碑石	65536	30865	3	{n=0}
-154748	贵耳贱目	65536	154746	3	{i=0}
-154749	板刷	65536	26495	3	{n=0}
-154750	盖碗	104215	30422	1	null
-154751	贵远贱	117937	201207	1	null
-154752	蔫巴	126534	34091	1	null
-154753	目不转	107390	156302	1	null
-154754	贵远贱近	65536	154751	3	{l=1}
-154755	抗洪	65536	25239	3	{v=0, vn=1}
-154756	糟蹋	65536	31967	3	{v=1, vn=0}
-154757	贵金属	65536	201708	3	{n=0}
-154758	血肉相	118615	214314	1	null
-154759	红外线	65536	201396	3	{n=1}
-154760	贵宾席	65536	187865	3	{n=0}
-154761	荧光灯	65536	149614	3	{n=0}
-154762	航运权	65536	179355	3	{n=0}
-154763	贵阳市	65536	202830	3	{ns=5}
-154764	大曲	65536	22823	3	{n=0}
-154765	观测室	65536	185562	3	{n=4}
-154766	贷存比	65536	154814	3	{n=2}
-154767	微词	65536	24494	3	{n=2}
-154768	自给自	111617	218633	1	null
-154769	天极	65536	22825	3	{n=0}
-154770	贷款人	65536	158884	3	{n=1}
-154771	当心	65536	24403	3	{v=2, vd=1}
-154772	港澳	109904	28207	2	{j=9}
-154773	航空兵	65536	173893	3	{n=1}
-154774	平头	81689	24179	2	{b=0, n=2}
-154775	好胜	77463	22909	2	{a=0}
-154776	抽空	65536	25277	3	{v=5, vd=0}
-154777	贸促会	65536	154843	3	{j=6}
-154778	贸发局	65536	155881	3	{j=0}
-154779	螺丝帽	65536	152891	3	{n=0}
-154780	贸委会	65536	157420	3	{j=0}
-154781	翅翼	65536	32709	3	{n=0}
-154782	约数	65536	32422	3	{n=0}
-154783	第三者	65536	141883	3	{n=2}
-154784	贸工农	65536	158461	3	{j=4}
-154785	费伦堡	65536	165019	3	{ns=0}
-154786	大月	65536	22823	3	{nr=1}
-154787	大有	80471	22823	1	null
-154788	费加罗	65536	165909	3	{nr=1, ns=3}
-154789	欢悦	65536	27426	3	{a=1, an=0}
-154790	失足	65536	22833	3	{v=1, vn=4}
-154791	获利	65536	33719	3	{v=7, vn=0}
-154792	费口舌	65536	166232	3	{l=0}
-154793	胼胝	65536	33020	3	{n=0}
-154794	计生委	65536	179340	3	{j=8}
-154795	此举	65536	27492	3	{r=14}
-154796	费尔巴	133096	168329	1	null
-154797	祝酒	112549	31069	2	{v=2}
-154798	蚕丝	65536	34453	3	{n=0}
-154799	观赏植	123229	193758	1	null
-154800	费尔巴哈	65536	154796	3	{nr=1}
-154801	贸易区	65536	160555	3	{n=8}
-154802	色彩纷	126774	175265	1	null
-154803	筹码	65536	31609	3	{n=1}
-154804	建部	65536	24314	3	{v=2}
-154805	曲剧	65536	26354	3	{n=0}
-154806	费尔法克	128778	158605	1	null
-154807	大朝	76410	22823	1	null
-154808	对白	65536	23545	3	{n=0}
-154809	费尔法克斯	65536	154806	3	{ns=0}
-154810	费尽周折	65536	154819	3	{l=2}
-154811	薄荷糖	65536	182507	3	{n=0}
-154812	混血	109825	28151	1	null
-154813	费尽心机	65536	157726	3	{i=1}
-154814	贷存	127162	36151	1	null
-154815	蜀山	65536	34560	3	{ns=1}
-154816	费工夫	65536	168794	3	{l=1}
-154817	费手脚	65536	169920	3	{a=0}
-154818	贺兰山	65536	168963	3	{ns=1}
-154819	费尽周	129570	168370	1	null
-154820	贺岁片	65536	171796	3	{n=7}
-154821	微调	65536	24494	3	{n=0, v=2, vn=1}
-154822	大本	73666	22823	1	null
-154823	贻人口	131373	155149	1	null
-154824	接到	65536	25509	3	{v=44}
-154825	建都	65536	24314	3	{v=0, vn=0}
-154826	贺年卡	65536	172295	3	{n=5}
-154827	贻人口实	65536	154823	3	{i=0}
-154828	贻害无	123486	158470	1	null
-154829	语言性	65536	207750	3	{n=1}
-154830	旅途	65536	26053	3	{n=5}
-154831	表面张	130596	215968	1	null
-154832	焊药	65536	28938	3	{n=0}
-154833	耕牛	65536	32789	3	{n=0}
-154834	苟延	121482	33503	1	null
-154835	此书	65536	27492	3	{r=2}
-154836	如鸟	81261	22914	1	null
-154837	贻害无穷	65536	154828	3	{i=1}
-154838	波士	89797	27874	1	null
-154839	总和	65536	24635	3	{n=4}
-154840	安澜	65536	23433	3	{a=0, an=0}
-154841	贻患无	123496	159734	1	null
-154842	换牙	65536	25442	3	{v=0}
-154843	贸促	134527	36152	1	null
-154844	大杂	71174	22823	1	null
-154845	大权	70661	22823	2	{n=4}
-154846	老大爷	65536	208264	3	{n=3}
-154847	贻患无穷	65536	154841	3	{i=0}
-154848	贻笑大	128809	166500	1	null
-154849	营业性	65536	168703	3	{b=2, d=0, n=0}
-154850	贻笑大方	65536	154848	3	{i=1}
-154851	贼喊捉	118700	159900	1	null
-154852	桥面	65536	26725	3	{n=0}
-154853	星子	65536	26143	3	{n=1}
-154854	疾首	100134	30142	1	null
-154855	计程器	65536	180600	3	{n=0}
-154856	贼喊捉贼	65536	154851	3	{i=0}
-154857	贼头贼	121818	160838	1	null
-154858	大材	76517	22823	1	null
-154859	贼头贼脑	65536	154857	3	{i=0}
-154860	贼忒忒	65536	162532	3	{z=0}
-154861	贼溜溜	65536	166318	3	{z=0}
-154862	永安	101227	27704	2	{ns=0}
-154863	电话间	65536	204834	3	{n=0}
-154864	贡嘎	65536	36129	3	{ns=1}
-154865	罅隙	65536	32581	3	{n=0}
-154866	贼眉鼠	124344	168475	1	null
-154867	谅必	65536	35845	3	{d=0}
-154868	贼眉鼠眼	65536	154866	3	{i=0}
-154869	探病	65536	25506	3	{v=1}
-154870	抗涝	65536	25239	3	{v=0}
-154871	贾基	129585	36158	1	null
-154872	此事	65536	27492	3	{r=27}
-154873	调节剂	65536	222377	3	{n=0}
-154874	贾基拉	65536	154871	3	{nz=0}
-154875	舞蹈病	65536	197949	3	{n=0}
-154876	标新	92906	26631	1	null
-154877	缕述	65536	32533	3	{v=0}
-154878	贾宪三	119598	155815	1	null
-154879	永定	99859	27704	1	null
-154880	贾宪三角	65536	154878	3	{l=0}
-154881	推力	65536	25512	3	{n=4}
-154882	大杨	65536	22823	3	{nz=2}
-154883	贾庆林	65536	156547	3	{nr=29}
-154884	荤腥	65536	33636	3	{n=0}
-154885	波多	93018	27874	1	null
-154886	腋毛	65536	33099	3	{n=0}
-154887	平妥	65536	24179	3	{a=0}
-154888	欢愉	65536	27426	3	{a=0, an=0}
-154889	褒奖	65536	35090	3	{v=1, vn=0}
-154890	淡水	102149	28129	2	{b=0, n=15}
-154891	贾拉拉	130843	157638	1	null
-154892	贱人	65536	36145	3	{n=0}
-154893	蓬勃	65536	34028	3	{a=9, ad=12}
-154894	推动	95896	25512	2	{v=278, vn=35}
-154895	贾拉拉巴	130398	154891	1	null
-154896	羽毛球	119925	154731	2	{n=9}
-154897	联系点	65536	207978	3	{n=15}
-154898	议论性	65536	183615	3	{n=1}
-154899	装饰性	65536	215829	3	{n=2}
-154900	约旦	115524	32422	2	{ns=64}
-154901	贾拉拉巴德	130872	154895	1	null
-154902	贾拉拉巴德州	65536	154901	3	{ns=0}
-154903	贾楼乡	65536	159353	3	{ns=0}
-154904	贿赂	134076	36159	2	{n=5, v=10, vn=9}
-154905	大板	65825	22823	1	null
-154906	贿赂公行	65536	154920	3	{i=0}
-154907	谦和	65536	35878	3	{a=0}
-154908	自动步	121047	207320	1	null
-154909	失踪	65536	22833	3	{v=3, vn=2}
-154910	答礼	65536	31572	3	{v=0}
-154911	色彩缤	115912	175265	1	null
-154912	范性	65536	33539	3	{n=0}
-154913	政委	65536	25919	3	{j=0, n=26}
-154914	管理所	65536	197816	3	{n=5}
-154915	挂牌	65536	25346	3	{v=7, vd=2, vn=3}
-154916	布里	85934	24067	1	null
-154917	贿选案	65536	155615	3	{n=3}
-154918	学衔	65536	23398	3	{n=0}
-154919	此人	65536	27492	3	{r=4}
-154920	贿赂公	120014	154904	1	null
-154921	赁租	65536	36161	3	{v=0}
-154922	社学	65536	31038	3	{n=0}
-154923	碑碣	65536	30865	3	{n=0}
-154924	赃官	65536	36163	3	{n=0}
-154925	资不抵	134389	186998	1	null
-154926	粘粘	118445	31896	1	null
-154927	资不抵债	65536	154925	3	{l=8}
-154928	表达式	65536	214012	3	{n=0}
-154929	官运	85188	23448	1	null
-154930	资产负债	125357	158292	1	null
-154931	接力	90134	25509	2	{n=2, nz=0, v=0, vd=0, vn=18}
-154932	资产负债率	65536	154930	3	{n=2}
-154933	莫名无	114384	167856	1	null
-154934	接办	65536	25509	3	{v=0}
-154935	资产阶级	65536	160619	3	{n=10}
-154936	资信度	65536	187466	3	{n=1}
-154937	资本主义	65536	154942	3	{n=39}
-154938	资产者	65536	187152	3	{n=2}
-154939	资本密集	132532	158409	1	null
-154940	疏密	112183	30095	2	{a=0, n=0}
-154941	大枣	65536	22823	3	{n=3}
-154942	资本主	134896	193429	1	null
-154943	资本密集型	65536	154939	3	{n=2}
-154944	老弱病残者	65536	145550	3	{n=1}
-154945	罪有	120711	32618	1	null
-154946	资江号	65536	194760	3	{nz=0}
-154947	翘舌	106341	32728	1	null
-154948	大枪	65536	22823	3	{n=0}
-154949	纱线	65536	32433	3	{n=0}
-154950	资治通	117463	194852	1	null
-154951	观察团	65536	181102	3	{n=1}
-154952	烈阳	65536	28872	3	{n=0}
-154953	感谢	93358	24863	2	{v=104, vn=19}
-154954	年景	65536	24180	3	{n=2}
-154955	资治通鉴	65536	154950	3	{n=0, nz=0}
-154956	挂牵	65536	25346	3	{v=0}
-154957	缸盆	65536	32568	3	{n=0}
-154958	覆盆	132288	35206	1	null
-154959	益阳	113599	30410	2	{ns=3}
-154960	禀赋	65536	31104	3	{n=1}
-154961	条头	65536	26465	3	{n=1}
-154962	缓兵	124445	32531	1	null
-154963	资溪县	65536	195347	3	{ns=1}
-154964	星宿	65536	26143	3	{n=0}
-154965	赈济款	65536	155520	3	{n=2}
-154966	地雷	72084	22320	2	{n=1}
-154967	常设	65536	24120	3	{b=1, vn=0}
-154968	官迷	65536	23448	3	{n=0}
-154969	赌博机	65536	169388	3	{n=3}
-154970	标明	65536	26631	3	{v=10, vn=1}
-154971	资金卡	65536	204346	3	{n=2}
-154972	赏功罚	122359	157201	1	null
-154973	缸盖	65536	32568	3	{n=0}
-154974	覆盖	122771	35206	2	{v=34, vn=7}
-154975	常识	73151	24120	2	{n=9}
-154976	粘糊	110531	31896	1	null
-154977	赏功罚罪	65536	154972	3	{i=0}
-154978	赊售	65536	36170	3	{v=0}
-154979	赏心悦	124534	160565	1	null
-154980	赏心悦目	65536	154979	3	{i=2}
-154981	赏罚严	128857	168652	1	null
-154982	地震	77633	22320	2	{n=311, v=11, vn=1}
-154983	赏罚严明	65536	154981	3	{i=0}
-154984	地霉	65564	22320	1	null
-154985	抽筋	65536	25277	3	{v=1}
-154986	络绎	124062	32476	1	null
-154987	赏罚分明	65536	155974	3	{i=0}
-154988	赔不是	65536	156992	3	{v=0}
-154989	购货单	65536	179843	3	{n=0}
-154990	资料室	65536	193026	3	{n=0}
-154991	赔小心	65536	160578	3	{v=0}
-154992	赈款	65536	36168	3	{n=0}
-154993	赔偿案	65536	157618	3	{n=2}
-154994	疏导	112712	30095	2	{v=11, vn=1}
-154995	秀美	65536	31168	3	{a=4}
-154996	赔礼道	127533	168047	1	null
-154997	天桥	65536	22825	3	{n=4, ns=0}
-154998	赔礼道歉	65536	154996	3	{l=3}
-154999	腐恶	65536	33104	3	{n=0}
-155000	整版	65536	25972	3	{n=1}
-155001	赔钱货	65536	175076	3	{n=0}
-155002	赐予	65536	36176	3	{v=0, vn=3}
-155003	赖以为	125022	155013	1	null
-155004	此伏	101677	27492	1	null
-155005	赖以为生	65536	155003	3	{l=0}
-155006	普照	65536	26222	3	{v=4, vn=0}
-155007	资源型	65536	195321	3	{b=3}
-155008	赛克勒	65536	178855	3	{nz=0}
-155009	研讨	118948	30740	2	{v=16, vn=19}
-155010	赛璐玢	65536	187884	3	{n=0}
-155011	豺狼成	129693	154299	1	null
-155012	赛车场	65536	194754	3	{n=0}
-155013	赖以	134977	36182	2	{v=0}
-155014	赛马场	65536	197576	3	{n=0}
-155015	赚取	65536	36186	3	{v=4}
-155016	生物防	107814	197762	1	null
-155017	女警	65536	22899	3	{n=0}
-155018	定级	65536	23450	3	{v=0}
-155019	赞不绝	133545	161049	1	null
-155020	赞不绝口	65536	155019	3	{i=2}
-155021	大柳	73448	22823	1	null
-155022	赞助商	65536	162229	3	{n=5}
-155023	缓冲	123452	32531	2	{v=0, vn=1}
-155024	物力	65536	29289	3	{n=12}
-155025	总商	92513	24635	1	null
-155026	赞叹不	130977	162565	1	null
-155027	赞叹不已	65536	155026	3	{l=3}
-155028	表演家	65536	205650	3	{n=0}
-155029	赞成票	65536	166172	3	{n=2}
-155030	赞扬声	65536	166264	3	{n=1}
-155031	地霸	65536	22320	3	{n=0}
-155032	工效	65536	24037	3	{n=1}
-155033	汇差	65536	27719	3	{n=1}
-155034	赞比亚	134193	168672	2	{ns=11}
-155035	强求	65536	24378	3	{v=6}
-155036	抽签	65536	25277	3	{v=2, vn=2}
-155037	官逼	77663	23448	1	null
-155038	失身	65536	22833	3	{v=0}
-155039	大栅	73454	22823	1	null
-155040	淡泊	108877	28129	2	{v=0, vn=0}
-155041	赝品	65536	36189	3	{n=15}
-155042	赞比亚共	133400	155034	1	null
-155043	绥滨	122768	32485	1	null
-155044	赞比亚共和	132777	155042	1	null
-155045	班次	65536	29677	3	{n=2}
-155046	赞比亚共和国	65536	155044	3	{ns=0}
-155047	赞皇县	65536	171411	3	{ns=1}
-155048	绕组	65536	32469	3	{n=1}
-155049	畏难	65536	30031	3	{a=2, v=0, vn=0}
-155050	翅脉	65536	32709	3	{n=0}
-155051	大树	65536	22823	3	{n=24}
-155052	缓减	65536	32531	3	{v=2, vn=0}
-155053	汇市	65536	27719	3	{j=0, n=14}
-155054	赞美歌	65536	173722	3	{n=1}
-155055	赞誉声	65536	176533	3	{n=1}
-155056	赠与税	65536	164809	3	{n=0}
-155057	赠阅本	65536	183232	3	{n=0}
-155058	赡养	118906	36193	2	{v=0, vn=0}
-155059	赡养费	65536	155058	3	{n=0}
-155060	官道	77525	23448	1	null
-155061	激昂	107146	28608	2	{a=4}
-155062	计算器	65536	180996	3	{n=1}
-155063	赢利性	65536	155835	3	{n=1}
-155064	褐木	127833	35088	1	null
-155065	证券商	65536	171186	3	{n=4}
-155066	赣州市	65536	158045	3	{ns=1}
-155067	大校	65536	22823	3	{n=1}
-155068	赣榆县	65536	161029	3	{ns=0}
-155069	广种	75445	24191	1	null
-155070	赛璐珞	65536	187884	3	{n=0}
-155071	天梯	65536	22825	3	{n=0}
-155072	疾驰	65536	30142	3	{v=3, vd=0}
-155073	地面	69506	22320	2	{n=44}
-155074	瞎闯	65536	30606	3	{v=0}
-155075	赣西南	65536	169214	3	{f=1}
-155076	工整	65536	24037	3	{a=1}
-155077	窒闷	65536	31378	3	{a=0}
-155078	疾驶	65536	30142	3	{v=1}
-155079	贯串	65536	36143	3	{v=1}
-155080	赤卫军	65536	196733	3	{n=0}
-155081	纠章	65536	32416	3	{v=2}
-155082	排外	65536	25490	3	{a=1, v=0, vn=0}
-155083	略感	116352	30053	1	null
-155084	瞎闹	65536	30606	3	{v=0}
-155085	赤子之心	65536	155088	3	{i=2}
-155086	红河谷	65536	206417	3	{ns=1}
-155087	赤小豆	65536	198945	3	{n=0}
-155088	赤子之	130570	198754	1	null
-155089	大样	65536	22823	3	{n=0}
-155090	赤峰市	65536	199170	3	{ns=1}
-155091	诊疗所	65536	160169	3	{n=0}
-155092	研读	65536	30740	3	{v=3, vn=0}
-155093	赤心报	132828	199893	1	null
-155094	表面性	65536	215968	3	{n=0}
-155095	癌魔	65536	30284	3	{n=0}
-155096	碧绿	65536	30887	3	{z=6}
-155097	赤心报国	65536	155093	3	{i=0}
-155098	推却	65536	25512	3	{v=0}
-155099	记者团	65536	200870	3	{n=2}
-155100	赤手空	129772	200541	1	null
-155101	花生果	65536	216745	3	{n=2}
-155102	推卸	65536	25512	3	{v=4}
-155103	赤手空拳	65536	155100	3	{i=0}
-155104	石首鱼	65536	209851	3	{n=0}
-155105	赤条条	65536	201843	3	{z=1}
-155106	大案	65567	22823	2	{n=6}
-155107	年月	65536	24180	3	{n=2}
-155108	承重	92482	25215	2	{v=0}
-155109	示范点	65536	153264	3	{n=4}
-155110	赣剧	65536	36195	3	{n=0}
-155111	蜂王精	65536	167556	3	{n=0}
-155112	排头	95978	25490	2	{n=1}
-155113	工料	65536	24037	3	{n=0}
-155114	天棚	65536	22825	3	{n=1}
-155115	赢余	65536	36194	3	{n=0}
-155116	赤瓜礁	65536	205294	3	{n=0}
-155117	站柜	120017	31449	1	null
-155118	缓刑	65536	32531	3	{v=1, vn=0}
-155119	纱罩	65536	32433	3	{n=0}
-155120	赤白痢	65536	205711	3	{n=0}
-155121	社会工	119579	151774	1	null
-155122	赤眼蜂	65536	205902	3	{n=0}
-155123	微贱	65536	24494	3	{a=0}
-155124	赤练蛇	65536	207829	3	{n=0}
-155125	老虎皮	65536	219823	3	{n=0}
-155126	谱儿	65536	35889	3	{n=1}
-155127	根芽	65536	26681	3	{n=0}
-155128	赤胆忠	130616	208344	1	null
-155129	定编	65536	23450	3	{v=2, vd=1, vn=4}
-155130	年期	65536	24180	3	{b=0}
-155131	赤胆忠心	65536	155128	3	{i=2}
-155132	赤脚医	125150	208428	1	null
-155133	赤脚医生	65536	155132	3	{n=0}
-155134	国鸟	65536	22269	3	{n=0}
-155135	大桥	65586	22823	2	{n=31, nz=0}
-155136	联合派	65536	197495	3	{n=0}
-155137	探监	65536	25506	3	{vn=0}
-155138	赤膊上	116686	208540	1	null
-155139	赤膊上阵	65536	155138	3	{i=0}
-155140	袖头	65536	34966	3	{n=0}
-155141	网球网	65536	194328	3	{n=0}
-155142	年末	65536	24180	3	{t=10}
-155143	赤裸裸	65536	210442	3	{z=1}
-155144	赤褐色	65536	210466	3	{n=0}
-155145	赤豆粥	65536	211288	3	{n=0}
-155146	训练场	130695	165407	2	{n=3}
-155147	物化	112535	29289	2	{v=1, vn=0}
-155148	砂子	65536	30722	3	{n=0}
-155149	贻人	133348	36155	1	null
-155150	稳扎	109636	31283	1	null
-155151	赤身裸	134847	211901	1	null
-155152	治水	102653	27835	2	{v=9, vn=0}
-155153	根苗	65536	26681	3	{n=0}
-155154	赤身裸体	65536	155151	3	{i=0}
-155155	疑点	65536	30097	3	{n=1}
-155156	赤道几	134288	212325	1	null
-155157	赤道几内	135042	155156	1	null
-155158	次级	93288	27425	2	{b=0, n=0}
-155159	评论家	65536	210336	3	{n=12}
-155160	著作权	65536	150457	3	{n=0}
-155161	官邸	65536	23448	3	{n=3}
-155162	设计家	65536	179920	3	{n=0}
-155163	大梁	65536	22823	3	{n=2}
-155164	赤道几内亚	65536	155157	3	{ns=2}
-155165	篮联	65536	31726	3	{j=0}
-155166	赤铁矿	65536	213459	3	{n=0}
-155167	敌军	65536	25932	3	{n=2}
-155168	祭献	65536	31085	3	{v=0}
-155169	翅膀	65536	32709	3	{n=9}
-155170	早川	65536	26089	3	{nr=0}
-155171	赤铜矿	65536	213486	3	{n=0}
-155172	赦免	128740	36198	2	{v=0, vn=0}
-155173	结束符	65536	198863	3	{n=0}
-155174	赤霉病	65536	214043	3	{n=0}
-155175	赦免权	65536	155172	3	{n=0}
-155176	赫哲族	65536	156128	3	{nz=2}
-155177	赫尔辛	132661	157954	1	null
-155178	抗滑	88624	25239	1	null
-155179	组合键	65536	161105	3	{n=0}
-155180	详备	65536	35814	3	{a=0}
-155181	好色	65536	22909	3	{a=0}
-155182	支护	65536	25903	3	{vn=1}
-155183	赫尔辛基	65536	155177	3	{ns=3}
-155184	赫然而	130592	163364	1	null
-155185	瑞雪	114443	29790	2	{n=14}
-155186	赫然而怒	65536	155184	3	{i=0}
-155187	赫赫功绩	65536	155190	3	{n=0}
-155188	衙役	65536	34905	3	{n=0}
-155189	工日	65536	24037	3	{n=0}
-155190	赫赫功	122698	170585	1	null
-155191	早已	65536	26089	3	{d=37}
-155192	赫赫有名	65536	160416	3	{i=2}
-155193	炒锅	65536	28818	3	{n=0}
-155194	绰约	121447	32496	2	{a=0}
-155195	表现性	65536	206830	3	{n=1}
-155196	赫鲁晓	132371	174447	1	null
-155197	治污	65536	27835	3	{v=3, vn=7}
-155198	赫鲁晓夫	65536	155196	3	{nr=0}
-155199	赭黄色	65536	165147	3	{n=1}
-155200	大梦	79074	22823	1	null
-155201	家累	65536	23478	3	{n=0}
-155202	走下坡	118869	202562	1	null
-155203	提个	79927	25552	1	null
-155204	走下坡路	65536	155202	3	{l=2}
-155205	干巴	85013	24178	2	{a=0}
-155206	工时	65536	24037	3	{n=1}
-155207	早市	65536	26089	3	{n=2}
-155208	根茎	65536	26681	3	{n=0}
-155209	走内线	65536	203452	3	{l=0}
-155210	赭石	65536	36205	3	{n=0}
-155211	系统	121481	31995	2	{a=42, ad=9, an=0, b=1, n=267}
-155212	潜留	65536	28508	3	{v=0}
-155213	定罪	65536	23450	3	{v=3, vn=0}
-155214	此信	65536	27492	3	{r=1}
-155215	走南闯	133948	203918	1	null
-155216	谱写	65536	35889	3	{v=15}
-155217	虎踞龙蟠	65536	150847	3	{i=0}
-155218	诊所	65536	35786	3	{n=5}
-155219	走南闯北	65536	155215	3	{i=0}
-155220	获取	65536	33719	3	{v=21, vn=1}
-155221	走后门	65536	204101	3	{l=5}
-155222	语义学	65536	192463	3	{n=0}
-155223	赘婿	65536	36184	3	{n=0}
-155224	登字	113996	30331	1	null
-155225	绒线	119787	32466	2	{n=0}
-155226	续断	65536	32493	3	{n=0}
-155227	走回头	118894	204821	1	null
-155228	葡萄架	65536	158026	3	{n=0}
-155229	走回头路	65536	155227	3	{l=0}
-155230	走头无	118896	205419	1	null
-155231	走头无路	65536	155230	3	{i=0}
-155232	笨蛋	65536	31528	3	{n=0}
-155233	走弯路	65536	206950	3	{l=1}
-155234	柳叶	93795	26611	1	null
-155235	走形式	65536	207001	3	{l=0}
-155236	走投无	118905	207820	1	null
-155237	芳泽	65536	33459	3	{n=0}
-155238	裸子	125121	35064	1	null
-155239	赫兹	65536	36203	3	{q=0}
-155240	走投无路	65536	155236	3	{i=2}
-155241	茹苦	127797	33593	1	null
-155242	广空	65536	24191	3	{j=0}
-155243	走捷径	65536	208046	3	{l=0}
-155244	大棒	65536	22823	3	{n=0}
-155245	练兵	121234	32451	2	{v=1, vn=1}
-155246	换班	65536	25442	3	{v=1}
-155247	接受	90934	25509	2	{v=225, vn=0}
-155248	走村串户	65536	155265	3	{l=4}
-155249	草草收	127088	214279	1	null
-155250	安然	82225	23433	2	{nz=0, z=3}
-155251	走村入户	65536	156084	3	{l=1}
-155252	大棚	66343	22823	2	{n=25}
-155253	治沙	65536	27835	3	{v=0, vn=0}
-155254	走极端	65536	209080	3	{l=1}
-155255	推向	65536	25512	3	{v=69}
-155256	标本	103489	26631	2	{n=4}
-155257	豆腐乳	65536	191174	3	{n=0}
-155258	绦虫	65536	32486	3	{n=0}
-155259	接口	65536	25509	3	{n=1, v=0}
-155260	走檐飞	122538	209863	1	null
-155261	绒绣	65536	32466	3	{n=0}
-155262	肠儿	65536	32928	3	{n=0}
-155263	敌击	93081	25932	1	null
-155264	罪案	65536	32618	3	{n=7}
-155265	走村串	130105	209032	1	null
-155266	走檐飞翘	65536	155260	3	{i=0}
-155267	走江湖	65536	210326	3	{v=0}
-155268	绰绰	117888	32496	1	null
-155269	走漏风	132502	211014	1	null
-155270	走漏风声	65536	155269	3	{i=0}
-155271	走着瞧	65536	213111	3	{l=0}
-155272	研究费	65536	150607	3	{n=0}
-155273	急用	65536	24613	3	{v=0}
-155274	敌分	93084	25932	1	null
-155275	支持	88237	25903	2	{v=316, vn=141}
-155276	诺华	65536	35834	3	{nz=0}
-155277	约束	122205	32422	2	{n=0, v=6, vn=22}
-155278	走私贩私	65536	164796	3	{l=2}
-155279	走红运	65536	215001	3	{l=0}
-155280	普特	65536	26222	3	{q=0}
-155281	走老路	65536	215352	3	{l=0}
-155282	标杆	65536	26631	3	{n=2}
-155283	走街串	131229	217486	1	null
-155284	走街串巷	65536	155283	3	{l=0}
-155285	走读生	65536	218418	3	{n=0}
-155286	急电	65536	24613	3	{n=0}
-155287	治治	65536	27835	3	{v=0}
-155288	走资派	65536	218747	3	{n=0}
-155289	寒门	65536	23506	3	{n=0}
-155290	走过场	65536	219390	3	{l=0, v=2, vn=0}
-155291	走钢丝	65536	220633	3	{l=5}
-155292	走门串	130151	220959	1	null
-155293	缸砖	65536	32568	3	{n=0}
-155294	走门串户	65536	155292	3	{l=0}
-155295	艰涩	65536	33392	3	{a=0}
-155296	接合	79880	25509	2	{v=0}
-155297	英雄无	119201	210905	1	null
-155298	走马上任	65536	155311	3	{i=1}
-155299	走马看花	65536	165808	3	{i=1}
-155300	设计局	65536	179920	3	{n=0}
-155301	走马观花	65536	170599	3	{i=0}
-155302	财政危	128008	191201	1	null
-155303	走马赴任	65536	171545	3	{i=0}
-155304	赴汤蹈	126528	162902	1	null
-155305	负责制	65536	192599	3	{n=16}
-155306	赋予	65536	36171	3	{v=22}
-155307	赴汤蹈火	65536	155304	3	{i=1}
-155308	贯众	65536	36143	3	{n=0}
-155309	赵全营	128863	155930	1	null
-155310	贮存	128301	36142	2	{v=3, vn=0}
-155311	走马上	135079	222115	1	null
-155312	赵全营村	65536	155309	3	{ns=0}
-155313	赵公元	131245	155934	1	null
-155314	赵公元帅	65536	155313	3	{n=0}
-155315	赵州桥	65536	159120	3	{ns=3}
-155316	赵李桥	117102	161536	1	null
-155317	赵李桥镇	65536	155316	3	{ns=2}
-155318	肩摩踵	120996	152733	1	null
-155319	淡淡	100061	28129	2	{z=0}
-155320	茸茸	65536	33592	3	{z=0}
-155321	早年	65536	26089	3	{t=13}
-155322	财政厅	65536	191201	3	{n=1}
-155323	赶下台	65536	189786	3	{v=1}
-155324	炮楼	65536	28846	3	{n=0}
-155325	提交	65536	25552	3	{v=12}
-155326	朝圣	65536	26397	3	{v=3, vn=0}
-155327	稳拿	115697	31283	1	null
-155328	赎买	65536	36174	3	{v=0, vn=3}
-155329	失迎	65536	22833	3	{v=0}
-155330	赶不及	65536	189788	3	{v=0}
-155331	干干	88140	24178	1	null
-155332	累年	65536	32047	3	{d=0}
-155333	赶任务	65536	190026	3	{v=0}
-155334	赶尽杀	122859	193420	1	null
-155335	盖章	65536	30422	3	{v=0, vn=1}
-155336	赶尽杀绝	65536	155334	3	{i=0}
-155337	得闲	65536	24471	3	{v=1}
-155338	赶得及	65536	194278	3	{v=0}
-155339	提亲	65536	25552	3	{v=0, vn=0}
-155340	申银	65536	30003	3	{nz=0}
-155341	外行	73077	22806	2	{a=1, b=1, n=1}
-155342	晚装	65536	26202	3	{n=1}
-155343	赶时髦	65536	195909	3	{l=0, v=1}
-155344	赶明儿	65536	195933	3	{d=0}
-155345	藕断	130741	34261	1	null
-155346	赶浪头	65536	197817	3	{v=1}
-155347	接吻	65536	25509	3	{v=0}
-155348	茅坑	65536	33541	3	{n=1}
-155349	被动式	65536	171624	3	{n=0}
-155350	赣南	65536	36195	3	{ns=1}
-155351	赶潮流	65536	198333	3	{l=0}
-155352	赶热门	65536	198716	3	{l=0}
-155353	相思鸟	65536	196373	3	{n=0}
-155354	赶集会	65536	208405	3	{n=3}
-155355	走私案	65536	213752	3	{n=2}
-155356	臀疣	65536	33216	3	{n=0}
-155357	起义军	65536	205741	3	{n=0}
-155358	誓图	65536	35475	3	{v=1}
-155359	茫然无	123757	152154	1	null
-155360	当成	65536	24403	3	{v=9}
-155361	起伏跌	131920	205939	1	null
-155362	旧学	65536	26087	3	{n=0}
-155363	蛮干	65536	34542	3	{v=2, vn=1}
-155364	外衣	65536	22806	3	{n=4}
-155365	起伏跌宕	65536	155361	3	{i=0, l=3}
-155366	漫长	65536	28459	3	{a=14, an=0}
-155367	艰深	65536	33392	3	{a=1}
-155368	起动机	65536	206860	3	{n=0}
-155369	外表	65536	22806	3	{n=3}
-155370	起始信	133877	208687	1	null
-155371	平安	87847	24179	2	{a=13, ad=3, an=3, n=0, ns=0, nz=0}
-155372	起始信号	65536	155370	3	{n=0}
-155373	赴任	65536	36212	3	{v=0}
-155374	政审	65536	25919	3	{v=0}
-155375	政客	65536	25919	3	{n=2}
-155376	起床号	65536	209902	3	{n=0}
-155377	起居厅	65536	209321	3	{n=1}
-155378	练出	65536	32451	3	{v=0}
-155379	起手回	129231	210863	1	null
-155380	起手回春	65536	155379	3	{i=0}
-155381	起承转	133871	210915	1	null
-155382	标枪	65536	26631	3	{n=0}
-155383	起承转合	65536	155381	3	{i=0}
-155384	计时工	116754	175459	1	null
-155385	营业房	65536	168703	3	{n=3}
-155386	营业所	65536	168703	3	{n=3}
-155387	蒲扇	65536	33970	3	{n=0}
-155388	平定	87747	24179	2	{ns=0, v=1}
-155389	起早摸	114738	211789	1	null
-155390	秽迹	65536	31229	3	{n=0}
-155391	落井投	119423	195701	1	null
-155392	平实	65536	24179	3	{a=3}
-155393	旧宅	65536	26087	3	{n=0}
-155394	登封	112768	30331	2	{ns=0}
-155395	起早摸黑	65536	155389	3	{l=0}
-155396	自治法	65536	213995	3	{n=9}
-155397	赵体	65536	36213	3	{n=0}
-155398	起早贪黑	65536	165807	3	{i=3}
-155399	白纸黑	113698	205734	1	null
-155400	衬垫	65536	34924	3	{n=0}
-155401	起根由	132566	212381	1	null
-155402	起根由头	65536	155401	3	{l=0}
-155403	起死回	125422	213215	1	null
-155404	端平	65536	31471	3	{v=0}
-155405	起死回生	65536	155403	3	{i=4}
-155406	谐声	65536	35856	3	{n=0}
-155407	起点站	65536	214557	3	{n=1}
-155408	提价	65536	25552	3	{v=5, vn=1}
-155409	大楷	65536	22823	3	{n=0}
-155410	起电盘	65536	215705	3	{n=0}
-155411	胃下	124188	32963	1	null
-155412	年根	88615	24180	1	null
-155413	起落架	65536	219553	3	{n=0}
-155414	大楼	65536	22823	3	{n=27}
-155415	福利费	65536	171194	3	{n=0}
-155416	行李房	65536	212694	3	{n=0}
-155417	起诉书	65536	221485	3	{n=7}
-155418	荷尔	115688	33655	1	null
-155419	眉头	65536	30473	3	{n=4}
-155420	大概	65536	22823	3	{b=0, d=28, n=0}
-155421	端庄	65536	31471	3	{a=1}
-155422	得陇	84993	24471	1	null
-155423	起起伏	135185	221915	1	null
-155424	起起伏伏	125086	155423	1	null
-155425	营业执	120980	168703	1	null
-155426	起起伏伏的	65536	155424	3	{n=0, z=1}
-155427	起跑线	65536	222005	3	{n=0}
-155428	起跳台	65536	222039	3	{n=1}
-155429	粪肥	65536	31914	3	{n=0}
-155430	急病	65536	24613	3	{n=0}
-155431	起重机	65536	223025	3	{n=0}
-155432	急症	65536	24613	3	{n=3}
-155433	甚高	96410	29978	1	null
-155434	数点	65536	25968	3	{v=1}
-155435	实行	65536	23454	3	{v=426, vn=4}
-155436	甜头	65536	29980	3	{n=4}
-155437	财政司	65536	191201	3	{n=1}
-155438	聂荣	124557	32834	2	{ns=2}
-155439	探矿	65536	25506	3	{v=0, vn=2}
-155440	砧骨	65536	30759	3	{n=0}
-155441	硫酸	119647	30827	2	{n=0}
-155442	巴结	65536	24052	3	{v=1}
-155443	租用	107828	31199	2	{v=6}
-155444	趁人之	134086	156077	1	null
-155445	血肉相连	65536	154758	3	{i=1}
-155446	整理	65536	25972	3	{v=16, vn=8}
-155447	趁人之危	65536	155444	3	{l=0}
-155448	趁火打	134286	164702	1	null
-155449	趁火打劫	65536	155448	3	{i=1}
-155450	硝酸	109493	30813	2	{n=0}
-155451	议会宫	65536	168095	3	{n=0}
-155452	趁热打	117374	164832	1	null
-155453	指战	94760	25351	1	null
-155454	赣县	65536	36195	3	{ns=0}
-155455	趁热打铁	65536	155452	3	{i=3}
-155456	超党派	65536	204441	3	{b=0}
-155457	女贞	65536	22899	3	{n=0}
-155458	莺歌	120735	33722	1	null
-155459	永州	103622	27704	2	{ns=0}
-155460	超低温	65536	203917	3	{n=0}
-155461	超凡入圣	65536	155464	3	{i=1}
-155462	失道	77489	22833	1	null
-155463	赎价	65536	36174	3	{n=0}
-155464	超凡入	133154	204576	1	null
-155465	超凡脱俗	65536	167700	3	{i=0}
-155466	超前性	65536	204684	3	{n=1}
-155467	折衷	65536	25240	3	{v=0, vn=2}
-155468	超固态	65536	205881	3	{n=0}
-155469	超国家	65536	205884	3	{b=1}
-155470	燕窝	95070	29141	2	{n=0, ns=0}
-155471	美联社	65536	203796	3	{n=0, nt=32}
-155472	情结	65536	24773	3	{n=7}
-155473	超声波	65536	206383	3	{n=0}
-155474	超大型	65536	206438	3	{b=4}
-155475	超大规模	65536	168331	3	{b=3}
-155476	虎虎生气	65536	154421	3	{l=2}
-155477	超导电性	65536	165185	3	{l=0}
-155478	艺术宫	65536	168482	3	{n=0}
-155479	租界	65536	31199	3	{n=0}
-155480	筛选	65536	31579	3	{v=5, vn=3}
-155481	超巨星	65536	207655	3	{n=0}
-155482	超常规	65536	207735	3	{b=1}
-155483	蒜泥	65536	33948	3	{n=0}
-155484	肤轻	119967	32932	1	null
-155485	粤绣	65536	31908	3	{n=0}
-155486	诬害	65536	35820	3	{v=0}
-155487	超导体	65536	207163	3	{n=0}
-155488	超强度	65536	207993	3	{b=0}
-155489	艺术家	65536	168482	3	{n=77}
-155490	肋膜	117542	32907	2	{n=0}
-155491	超文本	65536	209606	3	{b=0}
-155492	超新星	65536	209647	3	{n=1}
-155493	砂岩	65536	30722	3	{n=3}
-155494	平射	80341	24179	1	null
-155495	情绪	92082	24773	2	{n=43}
-155496	芝罘湾	65536	160275	3	{ns=0}
-155497	粘结	65536	31896	3	{vn=0}
-155498	大槐	73460	22823	1	null
-155499	超时空	65536	209717	3	{b=1}
-155500	好莱	79613	22909	1	null
-155501	条子	65536	26465	3	{n=4}
-155502	社会形	115321	151774	1	null
-155503	工期	65536	24037	3	{n=7}
-155504	指手	95351	25351	1	null
-155505	汤罐	65536	27748	3	{n=0}
-155506	登山	110454	30331	2	{v=0, vn=5}
-155507	示范片	65536	153264	3	{n=1}
-155508	美术片	65536	197359	3	{n=0}
-155509	空气轴	115982	199846	1	null
-155510	超标准	65536	210246	3	{b=3, d=1}
-155511	穹隆	116789	31353	1	null
-155512	航空员	65536	173893	3	{n=1}
-155513	糠麸	65536	31968	3	{n=0}
-155514	强渡	65536	24378	3	{v=2}
-155515	荤菜	65536	33636	3	{n=0}
-155516	工本	72038	24037	2	{n=1}
-155517	艳服	65536	33395	3	{n=0}
-155518	支援	65536	25903	3	{v=39, vn=8}
-155519	超水平	65536	211315	3	{v=2, vn=0}
-155520	赈济	127511	36168	2	{v=1}
-155521	茶叶罐	65536	200008	3	{n=0}
-155522	超然物	132717	212597	1	null
-155523	超然物外	65536	155522	3	{i=0}
-155524	超现实	135498	213231	2	{b=1}
-155525	超现实主	135486	155524	1	null
-155526	萧条	65536	33831	3	{a=6, an=5}
-155527	超现实主义	65536	155525	3	{b=1, n=0}
-155528	标格	65536	26631	3	{n=0}
-155529	超短波	65536	214316	3	{n=0}
-155530	礁长	65536	30977	3	{n=0}
-155531	超级大	133263	216038	1	null
-155532	超级大国	65536	155531	3	{n=5}
-155533	政局	65536	25919	3	{n=23}
-155534	豫剧	65536	35947	3	{n=2}
-155535	贬义	118896	36140	2	{n=0}
-155536	苟且偷生	65536	148985	3	{i=0}
-155537	贝尔法	128334	175616	1	null
-155538	超级市场	65536	156774	3	{n=5}
-155539	祖上	65536	31062	3	{n=0}
-155540	超群绝	135280	216291	1	null
-155541	情缘	65536	24773	3	{n=1}
-155542	超群绝伦	65536	155540	3	{l=0}
-155543	练功	118416	32451	2	{v=1, vn=0}
-155544	超范围	65536	217154	3	{b=1}
-155545	超计划	65536	219360	3	{b=1, v=0}
-155546	超负荷	65536	219742	3	{b=2, d=2}
-155547	年检	65536	24180	3	{j=0}
-155548	超长穗	133140	221886	1	null
-155549	永常	101241	27704	1	null
-155550	故迹	65536	25925	3	{n=0}
-155551	超长穗型	65536	155548	3	{b=1}
-155552	平尾	65536	24179	3	{n=0}
-155553	貌合	123256	35980	1	null
-155554	平局	65536	24179	3	{n=2}
-155555	祖业	65536	31062	3	{n=0}
-155556	实装	65536	23454	3	{v=0, vn=1}
-155557	盗版	65536	30423	3	{n=3, v=1, vd=0, vn=18}
-155558	耕田	65536	32789	3	{n=0, v=1, vn=0}
-155559	超阶段	65536	222069	3	{b=1}
-155560	超霸杯	65536	222327	3	{nz=0}
-155561	超音速	65536	222514	3	{n=3}
-155562	超预算	65536	222659	3	{b=0}
-155563	超额利	127494	222684	1	null
-155564	超额利润	65536	155563	3	{n=1}
-155565	越俎代	131352	174857	1	null
-155566	越俎代庖	65536	155565	3	{i=0}
-155567	越冬作	126281	175335	1	null
-155568	质量关	65536	189154	3	{n=1}
-155569	波密	107411	27874	2	{ns=0}
-155570	越冬作物	65536	155567	3	{l=0}
-155571	越剧团	65536	175522	3	{n=4}
-155572	提供	65536	25552	3	{v=513, vn=2}
-155573	标桩	65536	26631	3	{n=3}
-155574	物品	65536	29289	3	{n=39}
-155575	平展	85551	24179	2	{a=0}
-155576	越南社会	135553	162281	1	null
-155577	登岸	65536	30331	3	{v=0}
-155578	越南式	65536	175762	3	{b=1}
-155579	大模	77282	22823	1	null
-155580	越南社会主	135540	155576	1	null
-155581	越南社会主义	134734	155580	1	null
-155582	敌区	65536	25932	3	{n=0}
-155583	越南社会主义共	133942	155581	1	null
-155584	缓口	116829	32531	1	null
-155585	旧居	65536	26087	3	{n=1}
-155586	越南社会主义共和	133318	155583	1	null
-155587	越南社会主义共和国	65536	155586	3	{ns=0}
-155588	越来越	65536	180896	3	{d=168}
-155589	肾炎	65536	32958	3	{n=0}
-155590	越棉寮	65536	181252	3	{ns=4}
-155591	越野赛跑	65536	155610	3	{l=0}
-155592	资源委	65536	195321	3	{j=4}
-155593	歌仔	100845	27468	1	null
-155594	趋之若	115076	155929	1	null
-155595	超高产	65536	223255	3	{b=1}
-155596	续期	65536	32493	3	{v=0}
-155597	耶稣	120015	32822	2	{nr=7}
-155598	情网	65536	24773	3	{n=0}
-155599	社会心	110197	151774	1	null
-155600	绘图笔	65536	145261	3	{n=0}
-155601	膘肥	127132	33176	1	null
-155602	耕畜	65536	32789	3	{n=0}
-155603	平山	87883	24179	2	{nr=0, ns=0}
-155604	越狱犯	65536	183852	3	{n=0}
-155605	山明	80047	23665	1	null
-155606	女足	65678	22899	2	{j=8, n=1}
-155607	抗灾	65536	25239	3	{v=11, vn=17}
-155608	永平	89476	27704	1	null
-155609	永年	106254	27704	1	null
-155610	越野赛	119286	191753	2	{n=0}
-155611	货币地	123349	196402	1	null
-155612	棉珠	65536	26825	3	{n=0}
-155613	蝶泳	65536	34678	3	{n=7, vn=1}
-155614	筋骨	65536	31563	3	{n=1}
-155615	贿选	128221	36159	2	{j=2}
-155616	趋之若鹜	65536	155594	3	{i=0}
-155617	茅塞	110187	33541	1	null
-155618	趋光性	65536	156695	3	{n=0}
-155619	寒露	65536	23506	3	{t=0}
-155620	敌占	96886	25932	1	null
-155621	着儿	65536	30528	3	{n=0}
-155622	汇总	65536	27719	3	{v=10, vn=8}
-155623	波导	97202	27874	1	null
-155624	改正	65536	25913	3	{v=21, vn=0}
-155625	趋利避害	65536	168010	3	{i=4}
-155626	趋炎附	134445	164700	1	null
-155627	家给	85670	23478	1	null
-155628	趋炎附势	65536	155626	3	{i=0}
-155629	聚光镜	65536	187842	3	{n=0}
-155630	统治者	65536	168849	3	{n=1}
-155631	胸怀祖	124667	169112	1	null
-155632	翼盒	65536	32764	3	{n=0}
-155633	登峰	99940	30331	1	null
-155634	趋利性	65536	156919	3	{n=1}
-155635	莱比	111643	33713	1	null
-155636	脾胃	65536	33086	3	{n=0}
-155637	趋长避	124938	174157	1	null
-155638	淡漠	65536	28129	3	{a=3, an=0, v=1}
-155639	趋长避短	65536	155637	3	{i=0}
-155640	故道	65536	25925	3	{n=0}
-155641	趋阿奉	132452	174349	1	null
-155642	绕脖	120616	32469	1	null
-155643	招考	65536	25307	3	{v=3}
-155644	快门	65536	24555	3	{n=0}
-155645	旧岁	65536	26087	3	{n=2, t=4}
-155646	趋阿奉媚	65536	155641	3	{i=0}
-155647	波尔	107511	27874	1	null
-155648	艺术展	65536	168482	3	{n=2}
-155649	趔趄	65536	36244	3	{v=0, vn=0}
-155650	花岗石	65536	210465	3	{n=0}
-155651	歌伎	65536	27468	3	{n=0}
-155652	排子	80122	25490	1	null
-155653	趟浑水	65536	155674	3	{l=0}
-155654	工架	65536	24037	3	{n=0}
-155655	蔚成	124522	34074	1	null
-155656	趣味性	65536	157173	3	{n=4}
-155657	疑犯	65536	30097	3	{n=1}
-155658	络腮	111055	32476	1	null
-155659	排字	65536	25490	3	{vn=0}
-155660	盗犯	65536	30423	3	{n=0}
-155661	趣事	65536	36259	3	{n=1}
-155662	引线	90328	24341	2	{n=0}
-155663	歌会	65536	27468	3	{n=0}
-155664	足下生	118920	159630	1	null
-155665	足下生辉	65536	155664	3	{i=1}
-155666	足不出	130524	159632	1	null
-155667	足不出户	65536	155666	3	{i=1}
-155668	德黑	90825	24503	1	null
-155669	老年病	65536	209621	3	{n=3}
-155670	行业语	65536	206242	3	{n=0}
-155671	源远	103284	28304	1	null
-155672	足协杯	65536	160978	3	{nz=1}
-155673	脏活	65536	33039	3	{n=1}
-155674	趟浑	127953	36255	1	null
-155675	支撑	96675	25903	2	{v=29, vn=10}
-155676	山晕	65536	23665	3	{n=0}
-155677	足智多	119828	165885	1	null
-155678	引经	85030	24341	1	null
-155679	足智多谋	65536	155677	3	{i=0}
-155680	袖子	65536	34966	3	{n=2}
-155681	趴下	65536	36276	3	{v=0}
-155682	苛求	65536	33499	3	{v=3, vn=0}
-155683	趸批	65536	36280	3	{d=0}
-155684	趾头	65536	36286	3	{n=0}
-155685	萨克管	65536	163057	3	{n=0}
-155686	盲童	65536	30450	3	{n=2}
-155687	趾高气	130493	172488	1	null
-155688	知情达	109163	167027	1	null
-155689	趾高气扬	65536	155687	3	{i=0}
-155690	大檐	75984	22823	1	null
-155691	对称	81841	23545	2	{a=1, ad=1, an=0}
-155692	指指	87502	25351	2	{v=0}
-155693	蚕农	65536	34453	3	{n=0}
-155694	趿拉	65536	36287	3	{v=0}
-155695	跃变层	65536	161247	3	{n=0}
-155696	祖产	65536	31062	3	{n=0}
-155697	稀拉	115528	31232	1	null
-155698	洪武	65536	27946	3	{nr=0, nz=0, t=0}
-155699	社会性	65536	151774	3	{n=2}
-155700	绿茵茵	65536	204759	3	{z=1}
-155701	年楚	81590	24180	1	null
-155702	跃然纸	135729	168765	1	null
-155703	足球场	65536	169350	3	{n=4}
-155704	绣花针	65536	158033	3	{n=0}
-155705	猛涨	65536	29467	3	{v=2}
-155706	提倡	65536	25552	3	{v=51, vn=1}
-155707	跃然纸上	65536	155702	3	{i=1}
-155708	星座	65536	26143	3	{n=2}
-155709	跃脚板	65536	172833	3	{n=0}
-155710	豫北	65536	35947	3	{ns=1}
-155711	租赁费	65536	161612	3	{n=0}
-155712	脾脏	65536	33086	3	{n=0}
-155713	跃跃一试	65536	155717	3	{l=1}
-155714	跃跃欲试	65536	163191	3	{i=3}
-155715	外观	65536	22806	3	{n=6}
-155716	老年痴	123965	209621	1	null
-155717	跃跃一	119916	176074	1	null
-155718	抗热	93842	25239	2	{v=0}
-155719	跆拳	118776	36294	1	null
-155720	肯特	109436	32943	2	{n=0}
-155721	筹算	65536	31609	3	{v=0}
-155722	指挥	97935	25351	2	{n=20, v=53, vn=20}
-155723	跆拳道	65536	155719	3	{n=2, vn=0}
-155724	跋山涉	128025	155739	1	null
-155725	跋山涉水	65536	155724	3	{i=0}
-155726	排定	65536	25490	3	{v=2, vn=0}
-155727	敌友	65536	25932	3	{n=0}
-155728	招聘	95822	25307	2	{v=7, vd=0, vn=4}
-155729	跌宕起	135493	160690	1	null
-155730	蝴蝶瓦	65536	151293	3	{n=0}
-155731	外角	65536	22806	3	{n=0}
-155732	跌宕起伏	65536	155729	3	{l=4}
-155733	断断	86568	26029	2	{d=0}
-155734	章节	65536	31456	3	{n=1}
-155735	秀色	65536	31168	3	{n=1}
-155736	跌跌撞	129979	173545	1	null
-155737	跌跌撞撞	65536	155736	3	{z=0}
-155738	跑买卖	65536	185073	3	{l=0}
-155739	跋山	127683	36299	1	null
-155740	跑冒滴	127312	185875	1	null
-155741	资料库	65536	193026	3	{n=4}
-155742	赋值	65536	36171	3	{v=0}
-155743	跑冒滴漏	65536	155740	3	{l=0, vn=0}
-155744	微辞	65536	24494	3	{n=0}
-155745	跑前跑	134228	186062	1	null
-155746	跑前跑后	65536	155745	3	{l=1}
-155747	服务队	65536	133989	3	{n=25}
-155748	票房	119948	31080	2	{n=17}
-155749	生产工	114667	188608	1	null
-155750	跑单帮	65536	186326	3	{v=0}
-155751	跑圆场	65536	187271	3	{l=0}
-155752	葬身	110187	33900	2	{v=0}
-155753	缓和	65536	32531	3	{a=1, an=0, v=6, vn=0}
-155754	跑堂儿	65536	187523	3	{n=0}
-155755	散装	65536	25955	3	{b=2}
-155756	设计师	65536	179920	3	{n=9}
-155757	蘑菇战	124341	150755	1	null
-155758	跑旱船	65536	191090	3	{v=0}
-155759	着凉	65536	30528	3	{v=0}
-155760	虎口拔	121495	188678	1	null
-155761	跑步器	65536	192486	3	{n=0}
-155762	跑江湖	65536	192736	3	{l=0}
-155763	若无	128169	33509	1	null
-155764	敌台	65536	25932	3	{n=0}
-155765	肌理	65536	32908	3	{n=0}
-155766	疏开	65536	30095	3	{v=0}
-155767	绑腿	65536	32465	3	{n=0}
-155768	干性	81237	24178	1	null
-155769	跑码头	65536	195714	3	{l=0}
-155770	跑跑跳跳	65536	155771	3	{v=0}
-155771	跑跑跳	119431	201298	1	null
-155772	纬纱	65536	32428	3	{n=0}
-155773	话里有	117694	185337	1	null
-155774	豫南	65536	35947	3	{ns=2}
-155775	许昌市	65536	159234	3	{ns=5}
-155776	跑跑颠颠	65536	158504	3	{v=0}
-155777	畏首	106237	30031	1	null
-155778	跑门串	117403	203369	1	null
-155779	跑门串门	65536	155778	3	{l=1}
-155780	跑马卖	120482	204525	1	null
-155781	跑马卖解	65536	155780	3	{l=0}
-155782	跑龙套	65536	205850	3	{l=1}
-155783	跗面	65536	36311	3	{n=0}
-155784	跗骨炎	65536	156621	3	{n=0}
-155785	投球	65536	25237	3	{v=0, vn=0}
-155786	纬线	65536	32428	3	{n=0}
-155787	跛子	65536	36315	3	{n=0}
-155788	成为	65536	25104	3	{v=665, vn=1}
-155789	稳操	116891	31283	1	null
-155790	距离	130928	36317	2	{n=39, p=5, v=1}
-155791	距离感	65536	155790	3	{n=1}
-155792	艾滋	118252	33406	1	null
-155793	跟不上	65536	162186	3	{v=5}
-155794	敌后	65536	25932	3	{s=7}
-155795	纳塔	119852	32435	1	null
-155796	贬低	65536	36140	3	{v=1}
-155797	翼手龙	65536	150377	3	{n=0}
-155798	炒面	65536	28818	3	{n=0}
-155799	被告席	65536	172042	3	{n=1}
-155800	学识	65536	23398	3	{n=3}
-155801	跟踪符	65536	178599	3	{n=0}
-155802	贵宾房	65536	187865	3	{n=1}
-155803	袖珍本	65536	161949	3	{n=0}
-155804	芜菁	65536	33436	3	{n=0}
-155805	急眼	65536	24613	3	{v=0}
-155806	跟随者	65536	180748	3	{n=1}
-155807	结合能	65536	193912	3	{n=0}
-155808	跨国公	134315	165230	1	null
-155809	若明	115519	33509	1	null
-155810	故都	65536	25925	3	{n=0}
-155811	跨国公司	65536	155808	3	{n=21}
-155812	盟邦	65536	30431	3	{n=0}
-155813	跨学科	65536	166359	3	{b=2}
-155814	跨年度	65536	167141	3	{v=1, vd=0, vn=0}
-155815	贾宪	134901	36158	1	null
-155816	此刻	65536	27492	3	{r=8}
-155817	祖传	65536	31062	3	{vn=0}
-155818	记录卡	65536	192502	3	{n=0}
-155819	跨步电	134433	170454	1	null
-155820	跨步电压	65536	155819	3	{l=0}
-155821	恶霸	90760	24694	2	{n=0}
-155822	谱号	65536	35889	3	{n=0}
-155823	跨鹤西	127611	183509	1	null
-155824	朝夕	92290	26397	2	{n=0}
-155825	朝外	65536	26397	3	{j=3, ns=3, nz=0}
-155826	调度室	65536	213197	3	{n=3}
-155827	跨鹤西游	65536	155823	3	{l=0}
-155828	衬套	65536	34924	3	{n=0}
-155829	棋谱	65536	26827	3	{n=0}
-155830	自行火	119068	221052	1	null
-155831	路不拾	118886	202139	1	null
-155832	条岛	65536	26465	3	{nr=0}
-155833	支支	96248	25903	1	null
-155834	此前	65536	27492	3	{t=19}
-155835	赢利	130448	36194	2	{n=0, v=4, vn=1}
-155836	跨越式	65536	179195	3	{b=0}
-155837	路不拾遗	65536	155831	3	{i=0}
-155838	缴租	65536	32564	3	{v=0}
-155839	砂布	65536	30722	3	{n=0}
-155840	失重	65536	22833	3	{v=0, vn=0}
-155841	螺丝扣	65536	152891	3	{n=0}
-155842	若是	65536	33509	3	{c=8}
-155843	详实	65536	35814	3	{a=3}
-155844	朝天	84373	26397	1	null
-155845	路人皆	125154	202312	1	null
-155846	学说	65536	23398	3	{n=6}
-155847	路人皆知	65536	155845	3	{i=0}
-155848	路口处	65536	203633	3	{n=1}
-155849	路基导	131476	204680	1	null
-155850	耗油	116293	32791	2	{v=0}
-155851	足球城	65536	169350	3	{n=1}
-155852	指控	65536	25351	3	{v=13, vn=7}
-155853	路基导弹	65536	155849	3	{n=0}
-155854	暴殄	98897	26292	1	null
-155855	抽纱	65536	25277	3	{v=0}
-155856	路堤式	65536	204722	3	{b=1}
-155857	肆虐	65536	32902	3	{v=1, vn=0}
-155858	突然	65536	31361	3	{a=10, ad=35, an=0, d=2}
-155859	财产法	65536	185417	3	{n=0}
-155860	此剧	65536	27492	3	{r=2}
-155861	路径名	65536	206610	3	{n=0}
-155862	谨启	65536	35880	3	{v=0}
-155863	路政科	65536	208077	3	{n=3}
-155864	大款	65536	22823	3	{n=1}
-155865	舒波	128105	33298	1	null
-155866	路易港	65536	208289	3	{ns=3}
-155867	波峰	100847	27874	2	{n=1}
-155868	路桥区	65536	208883	3	{ns=5}
-155869	成事	65536	25104	3	{n=0, v=0}
-155870	路由器	65536	212159	3	{n=0}
-155871	规模性	65536	171310	3	{n=1}
-155872	瑞香	65536	29790	3	{n=0}
-155873	路线图	65536	214605	3	{n=0}
-155874	纲纪	65536	32434	3	{n=0}
-155875	支教	65536	25903	3	{j=0}
-155876	路透社	65536	219037	3	{n=1, nt=0}
-155877	永往	97247	27704	1	null
-155878	母丁	87271	27597	1	null
-155879	规范性	65536	177680	3	{n=5}
-155880	标榜	65536	26631	3	{v=1, vn=0}
-155881	贸发	131162	36152	2	{j=0}
-155882	跳伞塔	65536	183107	3	{n=0}
-155883	详密	65536	35814	3	{a=0}
-155884	跳发球	65536	184310	3	{vn=1}
-155885	缴税	65536	32564	3	{v=0}
-155886	跳梁小	135902	189606	1	null
-155887	跳梁小丑	65536	155886	3	{i=0}
-155888	组合音	121869	161105	1	null
-155889	跳水池	65536	190553	3	{n=0}
-155890	排尾	65536	25490	3	{n=0}
-155891	山本	65536	23665	3	{nr=0}
-155892	石门镇	65536	208909	3	{ns=0}
-155893	裁军	65536	35009	3	{v=5, vn=3}
-155894	成交	93858	25104	2	{n=1, v=16, vn=8}
-155895	星形	65536	26143	3	{n=1}
-155896	跳皮筋	135098	193235	1	null
-155897	跳皮筋儿	65536	155896	3	{l=0}
-155898	跳蚤市	133569	197321	1	null
-155899	跳蚤市场	65536	155898	3	{n=0}
-155900	跳跃式	65536	199144	3	{b=1}
-155901	让位	65536	35753	3	{v=6}
-155902	纷繁	65536	32439	3	{a=3, an=1}
-155903	大步	72142	22823	2	{d=4, n=3}
-155904	洪水	109078	27946	2	{n=12, nr=0}
-155905	常轨	65536	24120	3	{n=0}
-155906	贸易型	65536	160555	3	{n=1}
-155907	跷跷	129419	36343	1	null
-155908	成亲	65536	25104	3	{v=0}
-155909	践约	65536	36341	3	{v=0}
-155910	对立	77175	23545	2	{v=12, vn=8}
-155911	潜研	109393	28508	1	null
-155912	摆龙	79083	25670	1	null
-155913	标准钟	65536	149778	3	{n=0}
-155914	跷跷板	65536	155907	3	{n=0}
-155915	跺脚	65536	36346	3	{v=5}
-155916	成人	94031	25104	2	{n=31, v=0, vn=1}
-155917	裁决	131693	35009	2	{v=2, vn=5}
-155918	花样游	120805	213441	1	null
-155919	跻身	65536	36347	3	{v=20}
-155920	许多	65536	35768	3	{a=0, m=508}
-155921	踅子	65536	36357	3	{n=0}
-155922	踉跄	65536	36361	3	{v=0}
-155923	成仁	92614	25104	2	{v=0}
-155924	踉踉跄	119633	155991	1	null
-155925	踉踉跄跄	65536	155924	3	{z=0}
-155926	山杏	65536	23665	3	{n=2}
-155927	承销	65536	25215	3	{j=1, v=1, vn=0}
-155928	山村	65536	23665	3	{n=18}
-155929	趋之	122085	36235	1	null
-155930	赵全	121480	36213	1	null
-155931	社会意	104128	151774	1	null
-155932	踊跃	65536	36362	3	{a=6, ad=21, an=0}
-155933	章草	65536	31456	3	{n=0}
-155934	赵公	134510	36213	1	null
-155935	调节器	65536	222377	3	{n=1}
-155936	踌躇	135956	36364	2	{v=1}
-155937	踌躇不	134869	155936	1	null
-155938	踌躇不前	65536	155937	3	{i=0}
-155939	踌躇满志	65536	164341	3	{i=0}
-155940	天气	78452	22825	2	{n=150, v=0}
-155941	排山	96335	25490	1	null
-155942	注视	65536	27880	3	{v=11, vn=2}
-155943	异香	65536	24322	3	{n=0}
-155944	踏花被	65536	178293	3	{n=1}
-155945	裁减	65536	35009	3	{v=5, vn=0}
-155946	工棚	65536	24037	3	{n=0}
-155947	洪江	65536	27946	3	{nr=0, ns=0}
-155948	棉田	65536	26825	3	{n=0}
-155949	筑路	65536	31569	3	{v=1, vn=8}
-155950	踏踏实	132497	181203	1	null
-155951	踏踏实实	65536	155950	3	{z=8}
-155952	踝子骨	65536	155957	3	{n=0}
-155953	硅酮	65536	30789	3	{n=0}
-155954	政工	65536	25919	3	{j=1}
-155955	踟蹰	65536	36383	3	{v=0}
-155956	踢皮球	65536	161233	3	{l=0}
-155957	踝子	116360	36381	1	null
-155958	经营管	114165	204321	1	null
-155959	踢踏舞	65536	167218	3	{n=0}
-155960	踩高跷	65536	167901	3	{v=0}
-155961	踩水	65536	36393	3	{v=0}
-155962	踪影	65536	36394	3	{n=1}
-155963	硅酸	109003	30789	2	{n=0}
-155964	杀菌	65536	26432	3	{v=0}
-155965	踯躅	121065	36399	2	{v=0}
-155966	结合膜	65536	193912	3	{n=0}
-155967	平川	85129	24179	2	{n=2, ns=0}
-155968	踯躅街	133137	155965	1	null
-155969	着力	109787	30528	2	{d=1, v=44, vd=1}
-155970	安理	84768	23433	1	null
-155971	注解	65536	27880	3	{n=1, v=0, vn=0}
-155972	天水	76592	22825	2	{ns=0}
-155973	踯躅街头	65536	155968	3	{l=0}
-155974	赏罚分	128861	168652	1	null
-155975	监事	117475	30417	2	{n=0}
-155976	纹线	65536	32441	3	{n=0}
-155977	踱方	128487	36401	1	null
-155978	绛色	65536	32475	3	{n=0}
-155979	汗衫	65536	27735	3	{n=0}
-155980	踱方步	65536	155977	3	{l=0}
-155981	多角	75279	22810	1	null
-155982	踺子	65536	36410	3	{n=0}
-155983	成份	81153	25104	2	{j=0, n=16}
-155984	踽踽	65536	36413	3	{z=0}
-155985	蹂躏	65536	36418	3	{v=0, vn=1}
-155986	荷兰语	65536	152694	3	{nz=0}
-155987	蹈常	120999	36424	1	null
-155988	蹈常袭	130069	155987	1	null
-155989	蹄子	65536	36420	3	{n=0}
-155990	蛇口	65536	34503	3	{ns=1}
-155991	踉踉	119632	36361	1	null
-155992	母乳	65536	27597	3	{n=2}
-155993	大殿	65536	22823	3	{n=1}
-155994	蹈常袭故	65536	155988	3	{i=0}
-155995	引而	90509	24341	1	null
-155996	趋于	65536	36235	3	{v=10}
-155997	蹉跎	132318	36425	2	{v=0}
-155998	山林	65536	23665	3	{n=7}
-155999	蹉跎岁	129627	155997	1	null
-156000	惊蛇	92579	24778	1	null
-156001	蒸馏水	65536	168888	3	{n=0}
-156002	详尽	65536	35814	3	{a=5, ad=0}
-156003	蹉跎岁月	65536	155999	3	{i=0}
-156004	提克	79877	25552	1	null
-156005	纽约	119494	32445	2	{ns=86}
-156006	安琪	84222	23433	1	null
-156007	散见	65536	25955	3	{v=1}
-156008	蹑悄悄	65536	156035	3	{z=0}
-156009	蹊径	65536	36426	3	{n=1}
-156010	纷纭	120678	32439	2	{z=1}
-156011	萎陷	119886	33806	1	null
-156012	祸根	65536	31096	3	{n=3}
-156013	林业	102601	26519	2	{n=32}
-156014	眉宇	65536	30473	3	{n=1}
-156015	林东	65536	26519	3	{ns=4}
-156016	天池	65536	22825	3	{ns=0}
-156017	故里	65536	25925	3	{n=2}
-156018	蹑手蹑	122974	156490	1	null
-156019	疏忽	113597	30095	2	{v=0, vn=0}
-156020	纷纷	118283	32439	2	{d=125, z=3}
-156021	提兜	65536	25552	3	{n=0}
-156022	踢打	65536	36386	3	{v=0}
-156023	表决权	65536	198129	3	{n=0}
-156024	蹑手蹑脚	65536	156018	3	{z=0}
-156025	蹑足潜	119632	167602	1	null
-156026	蹑足潜踪	65536	156025	3	{i=0}
-156027	蹒跚	65536	36434	3	{v=0, vn=0}
-156028	枪膛	65536	26538	3	{n=0}
-156029	旧币	65536	26087	3	{n=12}
-156030	裁判	130416	35009	2	{n=8, v=1, vn=0}
-156031	寒风	80233	23506	2	{n=37}
-156032	林中	65536	26519	3	{s=3}
-156033	烈马	65536	28872	3	{n=0}
-156034	贬值	65536	36140	3	{v=66, vn=13}
-156035	蹑悄	131300	36433	1	null
-156036	对等	65536	23545	3	{v=0, vn=1}
-156037	推土	90619	25512	1	null
-156038	蹙眉	65536	36441	3	{v=0}
-156039	脓疮	65536	33043	3	{n=0}
-156040	航空器	65536	173893	3	{n=0}
-156041	惊蛰	65536	24778	3	{t=0}
-156042	布防	65536	24067	3	{v=0}
-156043	聋哑症	65536	146033	3	{n=0}
-156044	蹦蹦	135247	36454	1	null
-156045	布阵	65536	24067	3	{v=0, vn=0}
-156046	蹦蹦儿	119340	156044	1	null
-156047	对答	83545	23545	2	{v=0}
-156048	艺术工	128060	168482	1	null
-156049	对策	65536	23545	3	{n=38, v=0}
-156050	蹦蹦儿车	65536	156046	3	{n=0}
-156051	票据	65536	31080	3	{n=26}
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-156053	秘书长	65536	146624	3	{n=94}
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-156056	网络结	118255	197105	1	null
-156057	蹩脚	119924	36457	2	{a=0}
-156058	平常	84685	24179	2	{a=10, d=1, n=0, t=0}
-156059	蹩脚货	65536	156057	3	{n=0}
-156060	若有	123879	33509	1	null
-156061	板块	65536	26495	3	{n=1}
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-156063	大氅	65536	22823	3	{n=0}
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-156067	聚酯纤	113755	204264	1	null
-156068	纺纱	117089	32442	2	{v=1, vn=0}
-156069	投生	65536	25237	3	{v=0}
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-156075	谋略家	65536	176076	3	{n=1}
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-156078	大气	79616	22823	2	{a=0, n=8}
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-156085	板坯	65536	26495	3	{n=0}
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-156087	永恒	103087	27704	2	{an=0, b=1, nz=0, z=16}
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-156089	躁动不	132658	156097	1	null
-156090	纺织	123729	32442	2	{n=61, v=2, vn=10}
-156091	躁动不安	65536	156089	3	{a=0}
-156092	纠结	65536	32416	3	{v=0}
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-156095	诊断	133246	35786	2	{v=6, vn=4}
-156096	调查团	65536	215564	3	{n=1}
-156097	躁动	136108	36481	2	{v=0, vn=0}
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-156100	裁剪	65536	35009	3	{v=1, vn=0}
-156101	躁狂症	65536	164315	3	{n=0}
-156102	站段	65536	31449	3	{n=1}
-156103	工楷	65536	24037	3	{n=0}
-156104	接地	84530	25509	2	{v=0, vn=1}
-156105	洪泽	107942	27946	1	null
-156106	演示	111509	28436	2	{v=1, vn=2}
-156107	篮球赛	65536	152012	3	{n=0}
-156108	细胞系	65536	204586	3	{n=1}
-156109	禁不起	65536	174746	3	{v=0}
-156110	大水	65536	22823	3	{n=3}
-156111	经纬线	65536	202920	3	{n=1}
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-156113	蹼泳	65536	36476	3	{v=0}
-156114	滚筒	65536	28378	3	{n=0}
-156115	笃行	121669	31491	1	null
-156116	跨越性	65536	179195	3	{n=0}
-156117	平平	86343	24179	2	{z=3}
-156118	平年	65536	24179	3	{n=1}
-156119	示踪	118421	31034	1	null
-156120	蹬技	65536	36460	3	{n=0}
-156121	身不由	132074	204515	1	null
-156122	苛性钠	65536	152583	3	{n=0}
-156123	身不由己	65536	156121	3	{i=0}
-156124	电子云	65536	192405	3	{n=0}
-156125	成例	65536	25104	3	{n=0}
-156126	布隆	71951	24067	1	null
-156127	棋赛	65536	26827	3	{n=2}
-156128	赫哲	129113	36203	1	null
-156129	瞬间	65536	30636	3	{n=1, t=14}
-156130	汗褂	65536	27735	3	{n=0}
-156131	大汉	65536	22823	3	{n=3}
-156132	著文	65536	33879	3	{v=0}
-156133	越野车	65536	191753	3	{n=0}
-156134	羽绒衣	65536	159586	3	{n=0}
-156135	身临其	133482	204554	1	null
-156136	西安市	65536	212033	3	{ns=7}
-156137	政府	97187	25919	2	{n=1225}
-156138	洪洞	107938	27946	2	{ns=0}
-156139	纺绸	65536	32442	3	{n=0}
-156140	招致	65536	25307	3	{v=3}
-156141	身临其境	65536	156135	3	{i=1}
-156142	羽绒衫	65536	159586	3	{n=0}
-156143	身价百	135654	204749	1	null
-156144	旧年	65536	26087	3	{n=0}
-156145	大汗	72007	22823	1	null
-156146	天波	65536	22825	3	{n=0}
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-156150	缝纫	118142	32541	2	{n=0, v=0}
-156151	平底	71069	24179	2	{b=0}
-156152	苛性钾	65536	152583	3	{n=0}
-156153	大江	78784	22823	2	{n=18, nr=0, nz=1}
-156154	林产	102297	26519	2	{n=1}
-156155	蹲伏	65536	36466	3	{v=0}
-156156	身体力	121266	204841	1	null
-156157	纳妾	65536	32435	3	{v=0}
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-156159	山核	81069	23665	1	null
-156160	身先士	134832	205342	1	null
-156161	秦昌	65536	31206	3	{t=0}
-156162	身先士卒	65536	156160	3	{i=3}
-156163	等级观	65536	193311	3	{n=2}
-156164	财务股	65536	186435	3	{n=0}
-156165	表演性	65536	205650	3	{n=0}
-156166	蚕卵	65536	34453	3	{n=0}
-156167	袜楦	65536	34972	3	{n=0}
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-156169	纠缠	65536	32416	3	{v=4, vn=2}
-156170	山桃	65536	23665	3	{n=0}
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-156173	洪流	101004	27946	2	{n=1, nr=0}
-156174	身单力	121996	205867	1	null
-156175	当政	65536	24403	3	{v=0, vn=0}
-156176	身单力薄	65536	156174	3	{i=0}
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-156178	身处牢	124633	207322	1	null
-156179	提出	65536	25552	3	{u=0, v=589, vn=2}
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-156183	山桐	84385	23665	1	null
-156184	身外之物	65536	156182	3	{i=1}
-156185	识字	123595	35782	2	{v=1, vn=0}
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-156190	身子骨	135393	207910	1	null
-156191	蒙古族	65536	181832	3	{nz=50}
-156192	身子骨儿	65536	156190	3	{n=0}
-156193	强烈	65536	24378	3	{a=97, ad=21, an=1, vn=0}
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-156196	身强体	133429	208912	1	null
-156197	管理权	65536	197816	3	{n=3}
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-156201	莽汉	65536	33725	3	{n=0}
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-156204	身心交	126000	209049	1	null
-156205	衰微	65536	34928	3	{v=1}
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-156210	粘膜	65536	31896	3	{n=0}
-156211	大沙	72298	22823	1	null
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-156218	柳城	102840	26611	1	null
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-156220	衔接	65536	34900	3	{v=10, vn=8}
-156221	身教胜于	120894	156219	1	null
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-156230	身无分文	65536	156229	3	{i=1}
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-156245	萎靡	130011	33806	2	{a=0}
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-156250	身残志不	128722	156244	1	null
-156251	安生	65536	23433	3	{a=0, nr=0, v=0}
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-156363	练嗓	120196	32451	1	null
-156364	大洲	76431	22823	2	{n=7}
-156365	肆行	65536	32902	3	{v=0}
-156366	车水马龙	65536	156362	3	{i=6}
-156367	神经炎	65536	206548	3	{n=0}
-156368	车江窑	65536	213771	3	{n=2}
-156369	祖先	65536	31062	3	{n=13}
-156370	西柏林	65536	215175	3	{ns=0}
-156371	广绣	65536	24191	3	{n=0}
-156372	车流量	65536	213997	3	{n=4}
-156373	车管所	65536	217677	3	{j=3, n=0}
-156374	大洼	78708	22823	1	null
-156375	眉峰	65536	30473	3	{n=0}
-156376	落地窗	65536	197904	3	{n=0}
-156377	应验	65536	24212	3	{v=0}
-156378	车臣共	134735	219279	1	null
-156379	车臣共和	134111	156378	1	null
-156380	车臣共和国	65536	156379	3	{ns=1}
-156381	车轮战	65536	222746	3	{n=0}
-156382	泰语	65536	27888	3	{n=0}
-156383	车轱辘	120587	222749	2	{n=1}
-156384	官长	65536	23448	3	{n=0}
-156385	断根	65536	26029	3	{v=0}
-156386	茶叶花	65536	200008	3	{n=0}
-156387	布鞋	65536	24067	3	{n=0}
-156388	报仇	76860	25253	2	{v=0, vn=0}
-156389	赚头	65536	36186	3	{n=2}
-156390	疲软	65536	30130	3	{a=6, an=1}
-156391	葡萄汁	65536	158026	3	{n=0}
-156392	车轱辘话	65536	156383	3	{l=1}
-156393	此呼	101682	27492	1	null
-156394	早报	65536	26089	3	{n=0}
-156395	车载斗	119069	222761	1	null
-156396	车载斗量	65536	156395	3	{i=0}
-156397	腿脚	65536	33151	3	{n=3}
-156398	潜移	91260	28508	1	null
-156399	纪委	65536	32426	3	{j=62}
-156400	断案	65536	26029	3	{v=2}
-156401	女郎	65536	22899	3	{n=6}
-156402	暴涨	65536	26292	3	{v=3, vn=0}
-156403	车辚马	134529	222790	1	null
-156404	救起	65536	25937	3	{v=1}
-156405	自流灌	119472	214129	1	null
-156406	神采飞	114952	211404	1	null
-156407	硝锵	111760	30813	1	null
-156408	裤子	65536	35044	3	{n=1}
-156409	车辚马啸	65536	156403	3	{i=0}
-156410	花生油	65536	216745	3	{n=1}
-156411	车马盈门	65536	164477	3	{i=0}
-156412	轧制	65536	36711	3	{v=0}
-156413	轧花机	65536	168823	3	{n=6}
-156414	轧钢厂	65536	173416	3	{n=1}
-156415	情节	88738	24773	2	{n=20}
-156416	轨道车	65536	166875	3	{n=0}
-156417	标段	65536	26631	3	{n=0}
-156418	报以	65536	25253	3	{v=0}
-156419	轩然大	128554	159467	1	null
-156420	政德	65536	25919	3	{n=2}
-156421	稳中有进	65536	140905	3	{l=1}
-156422	车马坑	65536	225560	3	{n=0}
-156423	板壁	65536	26495	3	{n=0}
-156424	着呢	65536	30528	3	{y=0}
-156425	山楂	81242	23665	2	{n=0}
-156426	指日	94879	25351	1	null
-156427	断档	65536	26029	3	{v=2, vn=2}
-156428	轩然大波	65536	156419	3	{i=1}
-156429	外貌	65536	22806	3	{n=2}
-156430	轩辕庙	65536	167242	3	{ns=0}
-156431	转世灵	124976	211088	1	null
-156432	训练局	65536	165407	3	{n=2}
-156433	大海	74711	22823	2	{n=15}
-156434	秦朝	65536	31206	3	{t=0}
-156435	轩敞	65536	36713	3	{a=0}
-156436	报价	94168	25253	2	{n=0, v=1, vn=4}
-156437	转世灵童	65536	156431	3	{n=5}
-156438	桂阳	65536	26690	3	{n=0}
-156439	滑石	102158	28369	2	{n=0}
-156440	转业军人	65536	156444	3	{n=0}
-156441	转会费	65536	211348	3	{n=0}
-156442	天渊	80616	22825	1	null
-156443	转关系	65536	211949	3	{v=0}
-156444	转业军	136286	211092	1	null
-156445	轨枕	65536	36712	3	{n=1}
-156446	提包	65536	25552	3	{n=3}
-156447	转化率	65536	212368	3	{n=3}
-156448	狼毒	65536	29436	3	{n=0}
-156449	成像	87658	25104	2	{vn=1}
-156450	洪湖	105326	27946	2	{ns=1}
-156451	湖沼	65536	28246	3	{n=0}
-156452	快餐	92297	24555	2	{n=11}
-156453	平心	76448	24179	1	null
-156454	转危为	133028	212459	1	null
-156455	斗鸡	65536	26007	3	{v=1, vn=0}
-156456	腿腕	124029	33151	1	null
-156457	虫子	65536	34411	3	{n=0}
-156458	当晚	65536	24403	3	{t=21}
-156459	肃立	65536	32899	3	{v=1}
-156460	硝镪	111763	30813	1	null
-156461	转危为安	65536	156454	3	{i=3}
-156462	百家饭	65536	185231	3	{n=0}
-156463	转发器	65536	212555	3	{n=0}
-156464	标准集	65536	149778	3	{n=0}
-156465	湖泊	65536	28246	3	{n=7}
-156466	躲债	65536	36530	3	{v=0}
-156467	指明	65536	25351	3	{v=15}
-156468	碰见	65536	30896	3	{v=1}
-156469	地鳖	65545	22320	1	null
-156470	表面文	120289	215968	1	null
-156471	转向架	65536	212619	3	{n=0}
-156472	诺基	133747	35834	1	null
-156473	狼毫	65536	29436	3	{n=0}
-156474	转型经济	133081	162553	1	null
-156475	绣花鞋	65536	158033	3	{n=0}
-156476	舰炮	65536	33328	3	{n=0}
-156477	种子选	115288	175366	1	null
-156478	缓坡	65536	32531	3	{n=0}
-156479	转型经济学	65536	156474	3	{n=1}
-156480	支架	65536	25903	3	{n=1}
-156481	转基因	65536	213620	3	{n=4}
-156482	转弯子	65536	215465	3	{v=0}
-156483	排序	65536	25490	3	{v=0, vn=2}
-156484	贞洁	65536	36126	3	{n=1}
-156485	葡萄沟	130143	158026	2	{ns=0}
-156486	转弯抹角	65536	158379	3	{i=0}
-156487	组织液	65536	172048	3	{n=0}
-156488	疏懒	65536	30095	3	{a=2}
-156489	转型期	65536	213509	3	{n=8, t=1}
-156490	蹑手	119585	36433	1	null
-156491	转悲为	134576	215852	1	null
-156492	转悲为喜	65536	156491	3	{i=1}
-156493	波形	65536	27874	3	{n=0}
-156494	转折点	65536	216338	3	{n=2}
-156495	转换开关	65536	158706	3	{n=0}
-156496	转捩点	65536	216547	3	{n=0}
-156497	转播台	65536	216871	3	{n=1}
-156498	转机建	135457	217524	1	null
-156499	贡山	65536	36129	3	{ns=0}
-156500	行政性	65536	212167	3	{n=2}
-156501	缕陈	65536	32533	3	{v=0}
-156502	散记	65536	25955	3	{n=0, vn=1}
-156503	转机建制	65536	156498	3	{j=1}
-156504	训导	65536	35757	3	{v=0}
-156505	猛烈	65536	29467	3	{a=3, ad=2}
-156506	转换器	65536	216540	3	{n=0}
-156507	转来转	135074	217567	1	null
-156508	歌剧	103709	27468	2	{n=38}
-156509	转来转去	65536	156507	3	{l=0}
-156510	筑造	65536	31569	3	{v=0, vn=0}
-156511	转氨基	119275	218786	1	null
-156512	提升	65536	25552	3	{v=18, vn=2}
-156513	转氨基酶	65536	156511	3	{l=0}
-156514	转益多	132443	221508	1	null
-156515	转益多师	65536	156514	3	{i=0}
-156516	湖泽	65536	28246	3	{n=0}
-156517	转眼间	65536	221622	3	{t=2}
-156518	转瞬即逝	65536	156519	3	{i=0}
-156519	转瞬即	119625	221734	1	null
-156520	常量	65536	24120	3	{n=0}
-156521	转祸为	125403	222194	1	null
-156522	转祸为福	65536	156521	3	{i=0}
-156523	转经筒	65536	223561	3	{n=0}
-156524	转轮手	129987	227816	1	null
-156525	转轮手枪	65536	156524	3	{l=0}
-156526	提单	65536	25552	3	{n=0}
-156527	转运站	65536	227914	3	{n=1}
-156528	报体	65536	25253	3	{n=0}
-156529	赵县	65536	36213	3	{ns=0}
-156530	转速比	65536	227993	3	{n=0}
-156531	轮作制	65536	197600	3	{n=0}
-156532	绘图纸	65536	145261	3	{n=0}
-156533	渔业	65536	28180	3	{n=20}
-156534	筹组	65536	31609	3	{v=0}
-156535	轮抗六	135043	202523	1	null
-156536	敌围	93090	25932	1	null
-156537	引航	77170	24341	2	{v=0, vn=0}
-156538	轮抗六号	65536	156535	3	{n=0}
-156539	支柱	65536	25903	3	{n=47}
-156540	接壤	65536	25509	3	{v=2, vn=0}
-156541	轮训班	65536	213041	3	{n=0}
-156542	蓬头	128061	34028	1	null
-156543	条形	92879	26465	2	{n=0}
-156544	晚起	65536	26202	3	{v=0}
-156545	敌国	65536	25932	3	{n=2}
-156546	工欲	86300	24037	1	null
-156547	贾庆	128364	36158	1	null
-156548	轮机手	65536	203710	3	{n=0}
-156549	轮转工	65536	214000	3	{n=1}
-156550	多谋	77620	22810	1	null
-156551	软乎乎	65536	205162	3	{z=0}
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-156553	蛋卷	65536	34507	3	{n=0}
-156554	诈骗罪	65536	171622	3	{n=0}
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-156556	虫害	65536	34411	3	{n=3}
-156557	软体动	127272	205423	1	null
-156558	肺循	116919	32954	1	null
-156559	自觉自	123022	221433	1	null
-156560	汤药	65536	27748	3	{n=1}
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-156562	软刀子	65536	206108	3	{n=0}
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-156564	歌功	86911	27468	1	null
-156565	票数	65536	31080	3	{n=0}
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-156567	官阶	65536	23448	3	{n=0}
-156568	软商品	65536	206946	3	{n=0}
-156569	螺丝攻	65536	152891	3	{n=0}
-156570	推头	65536	25512	3	{v=0}
-156571	每个	65536	27599	3	{r=110}
-156572	接处	81299	25509	1	null
-156573	多谢	65536	22810	3	{v=0}
-156574	碘酒	65536	30872	3	{n=0}
-156575	大清	74063	22823	1	null
-156576	天源	65536	22825	3	{nz=0}
-156577	软塌塌	65536	207720	3	{z=0}
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-156579	外财	65536	22806	3	{n=0}
-156580	软弱无	135434	209485	1	null
-156581	软弱无力	65536	156580	3	{i=0}
-156582	软指标	65536	210467	3	{n=0}
-156583	肺心	116390	32954	1	null
-156584	外货	65536	22806	3	{n=0}
-156585	软木塞	65536	211524	3	{n=0}
-156586	让出	65536	35753	3	{v=4}
-156587	软武器	65536	212610	3	{n=0}
-156588	许家	130777	35768	1	null
-156589	软环境	65536	214731	3	{n=1}
-156590	外购	65536	22806	3	{v=0}
-156591	软盘片	65536	215540	3	{n=0}
-156592	软着陆	65536	215644	3	{l=4}
-156593	记录器	65536	192502	3	{n=0}
-156594	裁员	65536	35009	3	{v=7, vn=0}
-156595	规定性	65536	167591	3	{n=2}
-156596	软硬兼施	65536	157246	3	{i=0}
-156597	略有	115356	30053	1	null
-156598	碧蓝	65536	30887	3	{z=4}
-156599	轩昂	65536	36713	3	{a=0}
-156600	软硬件	65536	215944	3	{j=1}
-156601	外贸	75606	22806	2	{n=60}
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-156603	大渡	73428	22823	1	null
-156604	渔乡	65536	28180	3	{n=1}
-156605	软磁盘	65536	216029	3	{n=0}
-156606	软科学	65536	216301	3	{n=1}
-156607	软组织	65536	217568	3	{n=1}
-156608	楼脚	65536	27004	3	{n=1}
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-156611	软设备	65536	220890	3	{n=0}
-156612	碘酸	65536	30872	3	{n=0}
-156613	外资	66292	22806	2	{n=151}
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-156615	猛然	65536	29467	3	{d=1}
-156616	绞丝	118080	32478	2	{n=0}
-156617	大港	65536	22823	3	{ns=1, nz=2}
-156618	软钉子	65536	223141	3	{n=0}
-156619	绢纺	65536	32482	3	{n=0, v=0, vn=0}
-156620	接头	65536	25509	3	{n=0, v=0, vn=0}
-156621	跗骨	126970	36311	2	{n=0}
-156622	茅屋	65536	33541	3	{n=7}
-156623	软锰矿	65536	223308	3	{n=0}
-156624	熟土	65536	29087	3	{n=0}
-156625	平息	65536	24179	3	{v=3, vn=0}
-156626	艺术性	65536	168482	3	{n=21}
-156627	社戏	65536	31038	3	{n=0}
-156628	获奖	117087	33719	2	{v=24, vn=28}
-156629	软雕塑	65536	223729	3	{n=0}
-156630	软饮料	65536	224394	3	{n=0}
-156631	轰下台	65536	156652	3	{l=0}
-156632	当月	65536	24403	3	{t=7}
-156633	让利	65536	35753	3	{v=14, vn=0}
-156634	干掉	65536	24178	3	{v=0}
-156635	杀虫	102239	26432	1	null
-156636	轰动一	130537	157833	1	null
-156637	胰脂	109627	33008	1	null
-156638	成册	65536	25104	3	{v=2}
-156639	轰动一时	65536	156636	3	{i=2}
-156640	轰炸机	65536	165529	3	{n=0}
-156641	熟地	92549	29087	2	{n=0}
-156642	调查处	65536	215564	3	{n=0}
-156643	提及	65536	25552	3	{v=5}
-156644	窃贼	65536	31363	3	{n=2}
-156645	轰轰烈烈	65536	156647	3	{i=6, z=0}
-156646	轰轰隆隆	65536	166309	3	{o=1, z=1}
-156647	轰轰烈	127773	173393	1	null
-156648	胜利路	65536	164971	3	{ns=0}
-156649	漫骂	65536	28459	3	{v=0}
-156650	轰鸣声	65536	177156	3	{n=1}
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-156652	轰下	135143	36720	1	null
-156653	身心健	131965	209049	1	null
-156654	轴对称	65536	158927	3	{n=0}
-156655	提取	65536	25552	3	{v=18, vn=0}
-156656	大湖	77745	22823	2	{n=0, ns=1}
-156657	轴心国	65536	159897	3	{n=0}
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-156659	轻世傲	127374	202534	1	null
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-156663	轻世傲物	65536	156659	3	{i=0}
-156664	山樱	81071	23665	1	null
-156665	轻举妄	135507	202574	1	null
-156666	杀蚊	102237	26432	1	null
-156667	轻举妄动	65536	156665	3	{i=2}
-156668	广而	88049	24191	1	null
-156669	轻于鸿	129061	202654	1	null
-156670	报信	65536	25253	3	{vn=0}
-156671	窥见	65536	31397	3	{v=1}
-156672	轻于鸿毛	65536	156669	3	{i=0}
-156673	解困扶	116475	200838	1	null
-156674	渔产	109188	28180	2	{n=0}
-156675	约法	123376	32422	2	{n=0}
-156676	窥视	65536	31397	3	{v=3}
-156677	工段	69933	24037	2	{n=1}
-156678	轻便车	65536	202959	3	{n=0}
-156679	实质	80969	23454	2	{a=0, n=33}
-156680	贩子	65536	36137	3	{n=3}
-156681	轻元素	65536	203347	3	{n=0}
-156682	当机	79495	24403	1	null
-156683	报修	65536	25253	3	{v=1, vn=0}
-156684	轻印刷	65536	203904	3	{n=0}
-156685	轻口薄	123394	204019	1	null
-156686	轻口薄舌	65536	156685	3	{i=0}
-156687	臭架	124621	33261	1	null
-156688	轻喜剧	65536	204460	3	{n=1}
-156689	轻嘴薄	123402	204612	1	null
-156690	政情	65536	25919	3	{n=0}
-156691	当权	82969	24403	2	{v=0}
-156692	豫园	65536	35947	3	{ns=1}
-156693	渔人	110852	28180	1	null
-156694	轻嘴薄舌	65536	156689	3	{i=0}
-156695	趋光	131003	36235	1	null
-156696	窃走	65536	31363	3	{v=0}
-156697	租税	65536	31199	3	{n=0}
-156698	每亩	65536	27599	3	{r=9}
-156699	安盟	65536	23433	3	{j=4}
-156700	轻型坦	135891	204955	1	null
-156701	蝗灾	65536	34647	3	{n=0}
-156702	轻型坦克	65536	156700	3	{n=0}
-156703	轻工业部	65536	156713	3	{n=0}
-156704	轻手轻	123655	207707	1	null
-156705	轻手轻脚	65536	156704	3	{i=0}
-156706	轻描淡	135818	208095	1	null
-156707	轻描淡写	65536	156706	3	{i=0}
-156708	天演	65833	22825	1	null
-156709	范本	65536	33539	3	{n=0}
-156710	提名	94338	25552	2	{v=11, vn=3}
-156711	演算	65536	28436	3	{vn=0}
-156712	轻机关	130178	208970	1	null
-156713	轻工业	119607	206581	2	{n=8}
-156714	大源	65536	22823	3	{nz=0}
-156715	每人	65536	27599	3	{r=24}
-156716	轻机关枪	65536	156712	3	{l=0}
-156717	轻松松	65536	209038	3	{z=0}
-156718	祭礼	65536	31085	3	{n=0}
-156719	读书声	65536	160659	3	{n=1}
-156720	轻歌曼	123411	210012	1	null
-156721	轻歌曼舞	65536	156720	3	{i=0}
-156722	祭祀	65536	31085	3	{v=2, vn=0}
-156723	轻武器	65536	210038	3	{n=1}
-156724	标注	65536	26631	3	{n=0, v=1, vn=0}
-156725	纤细	65536	32420	3	{a=1}
-156726	大溜	65536	22823	3	{n=0}
-156727	环保	111173	29615	2	{j=37, n=0}
-156728	自我牺	118428	211265	1	null
-156729	轻而易	136702	215324	1	null
-156730	推委	96797	25512	2	{v=0}
-156731	芦根	65536	33446	3	{n=0}
-156732	轻而易举	65536	156729	3	{i=2}
-156733	轻装简	136568	217557	1	null
-156734	腐朽	65536	33104	3	{a=3, an=1}
-156735	排律	65536	25490	3	{n=0}
-156736	指望	65536	25351	3	{n=0, v=9, vn=1}
-156737	旧情	65536	26087	3	{n=1}
-156738	讳莫	130214	35763	1	null
-156739	耕种	65536	32789	3	{v=3, vn=0}
-156740	港督	65536	28207	3	{j=0, n=0}
-156741	要不得	65536	195866	3	{l=0}
-156742	轻装简从	65536	156733	3	{i=1}
-156743	轻裘肥	117215	217576	1	null
-156744	祭祖	65536	31085	3	{v=0, vn=0}
-156745	洗冤	65536	27927	3	{v=0}
-156746	歌单	65536	27468	3	{n=0}
-156747	轻裘肥马	65536	156743	3	{i=0}
-156748	轻言细	120931	217872	1	null
-156749	联合王	123824	197495	1	null
-156750	罐笼	65536	32592	3	{n=0}
-156751	茫茫	120291	33579	2	{z=11}
-156752	轻言细语	65536	156748	3	{l=0}
-156753	母公	105100	27597	1	null
-156754	探索	92326	25506	2	{v=116, vn=44}
-156755	轻诺寡	136312	218378	1	null
-156756	波恩	104797	27874	2	{ns=17}
-156757	胰腺	118054	33008	2	{n=2}
-156758	粤菜	103181	31908	2	{n=0}
-156759	混进	65536	28151	3	{v=0}
-156760	成分	81163	25104	2	{n=26}
-156761	轻诺寡信	65536	156755	3	{i=0}
-156762	聒耳	65536	32850	3	{a=0}
-156763	轻车熟	120431	219254	1	null
-156764	安眠	71375	23433	2	{v=0}
-156765	标准音	65536	149778	3	{n=1}
-156766	轻车熟路	65536	156763	3	{i=1}
-156767	轻车简从	65536	159292	3	{i=0}
-156768	硬骨鱼	65536	206816	3	{n=0}
-156769	轻轻松松	65536	160953	3	{z=2}
-156770	羞怯	65536	32670	3	{a=0}
-156771	纤维	116842	32420	2	{n=7}
-156772	轻重倒置	65536	156776	3	{i=0}
-156773	硅钢	110149	30789	2	{n=0}
-156774	超级市	133208	216038	1	null
-156775	跪倒	65536	36330	3	{v=0}
-156776	轻重倒	124150	219869	1	null
-156777	轻重缓急	65536	168809	3	{i=1}
-156778	轻量级	65536	219871	3	{b=0}
-156779	轻轻地	65536	219275	3	{z=4}
-156780	轻金属	65536	219873	3	{n=0}
-156781	轻音乐	65536	221443	3	{n=2}
-156782	每份	65536	27599	3	{r=1}
-156783	轻飘飘	65536	221672	3	{z=0}
-156784	外路	65536	22806	3	{b=0}
-156785	稀有	120017	31232	2	{a=3}
-156786	载弹量	65536	173906	3	{n=0}
-156787	群众组	112679	180653	1	null
-156788	载歌载	123481	176997	1	null
-156789	混迹	65536	28151	3	{v=0}
-156790	轻骑兵	65536	222113	3	{n=1}
-156791	载歌载舞	65536	156788	3	{i=7}
-156792	抗生	83331	25239	1	null
-156793	投石	76885	25237	1	null
-156794	歌厅	65536	27468	3	{n=3}
-156795	棋迷	65536	26827	3	{n=1}
-156796	载流子	65536	177498	3	{n=0}
-156797	知识青	114724	178036	1	null
-156798	天潮	65536	22825	3	{nz=0}
-156799	载畜量	65536	179573	3	{n=1}
-156800	快马	91132	24555	1	null
-156801	载笑载	121474	181034	1	null
-156802	载笑载言	65536	156801	3	{i=0}
-156803	载货量	65536	185664	3	{n=0}
-156804	祁连	116300	31041	2	{ns=1}
-156805	继母	65536	32487	3	{n=0}
-156806	载重量	65536	186854	3	{n=0}
-156807	载驳船	65536	189068	3	{n=0}
-156808	贤内	133358	36132	1	null
-156809	的黎	109643	30340	1	null
-156810	耐久	65536	32784	3	{a=0}
-156811	总局	65536	24635	3	{n=25}
-156812	轿夫	65536	36735	3	{n=0}
-156813	知识面	65536	178036	3	{n=1}
-156814	电子元	115782	192405	1	null
-156815	行李架	65536	212694	3	{n=0}
-156816	较为	65536	36739	3	{d=45}
-156817	言之成	123000	186521	1	null
-156818	实足	65536	23454	3	{b=0}
-156819	较真儿	65536	167285	3	{a=0}
-156820	电子光	112602	192405	1	null
-156821	缠绕	111028	32544	2	{v=1}
-156822	睡熟	65536	30561	3	{v=1}
-156823	辅助货	132760	159099	1	null
-156824	缔约	122230	32532	2	{v=1, vn=0}
-156825	辅助货币	65536	156823	3	{l=0}
-156826	辅车相	136456	174648	1	null
-156827	排忧	81541	25490	1	null
-156828	报偿	65536	25253	3	{v=1, vn=1}
-156829	安睡	65536	23433	3	{v=0}
-156830	浓积	109682	27987	1	null
-156831	引荐	65536	24341	3	{v=0, vn=0}
-156832	大漆	65536	22823	3	{n=0}
-156833	较之	65536	36739	3	{p=3}
-156834	辅导员	65536	161486	3	{n=4}
-156835	绸纹	111917	32504	1	null
-156836	注资	65536	27880	3	{v=2, vn=0}
-156837	辅车相依	65536	156826	3	{i=0}
-156838	棋逢	101564	26827	1	null
-156839	蒲柳	65536	33970	3	{n=0}
-156840	辆次	65536	36742	3	{q=3}
-156841	辉光灯	65536	159166	3	{n=0}
-156842	蜗牛	65536	34583	3	{n=3}
-156843	象形文	130859	161586	1	null
-156844	辉县市	65536	159796	3	{ns=0}
-156845	辉绿岩	65536	170868	3	{n=0}
-156846	辉钴矿	65536	176425	3	{n=0}
-156847	超高压	65536	223255	3	{n=0}
-156848	纷至	115687	32439	1	null
-156849	恶鬼	65536	24694	3	{n=0}
-156850	辉钼矿	65536	176433	3	{n=0}
-156851	裁判权	65536	156030	3	{n=0}
-156852	辉铜矿	65536	176465	3	{n=0}
-156853	缠绵	65536	32544	3	{a=5}
-156854	祸殃	65536	31096	3	{n=0}
-156855	辉银矿	65536	176491	3	{n=0}
-156856	辉锑矿	65536	176518	3	{n=0}
-156857	纪实	65536	32426	3	{n=13, v=0, vn=0}
-156858	大漠	65536	22823	3	{n=5, ns=0}
-156859	赏光	65536	36175	3	{v=0}
-156860	辉长岩	65536	176628	3	{n=0}
-156861	辊子	65536	36746	3	{n=0}
-156862	肝气	65536	32925	3	{n=0}
-156863	辍学	65536	36749	3	{v=7, vn=0}
-156864	辎重	65536	36750	3	{n=0}
-156865	辑录	65536	36753	3	{v=2, vn=1}
-156866	输入国	65536	172444	3	{n=1}
-156867	官面	65536	23448	3	{n=0}
-156868	辐射	137407	36752	2	{n=1, v=11, vd=0, vn=8}
-156869	缔结	65536	32532	3	{v=9, vn=0}
-156870	签筒	65536	31614	3	{n=0}
-156871	输出地	65536	172593	3	{n=0}
-156872	输卵管	65536	172972	3	{n=4}
-156873	恶魔	65536	24694	3	{n=0}
-156874	输变电	65536	173071	3	{j=2, n=1, vn=0}
-156875	输尿管	65536	175222	3	{n=0}
-156876	年深	83333	24180	1	null
-156877	散货	85118	25955	2	{n=3}
-156878	输油管	124432	179440	2	{n=0}
-156879	输油管线	65536	156878	3	{n=3}
-156880	输液器	65536	179689	3	{n=0}
-156881	输电线	65536	181612	3	{n=1}
-156882	输精管	65536	183541	3	{n=0}
-156883	蛋品	65536	34507	3	{n=0}
-156884	实践	80977	23454	2	{a=1, n=8, nz=0, v=140, vn=137}
-156885	输配电	65536	188804	3	{n=0}
-156886	辈出	65536	36744	3	{v=3}
-156887	辔头	65536	36756	3	{n=0}
-156888	辗转	135441	36759	2	{v=4, vd=0}
-156889	辖制	65536	36758	3	{v=0}
-156890	辕门	65536	36757	3	{n=0}
-156891	抽芽	65536	25277	3	{v=0}
-156892	洗刷	65536	27927	3	{v=1}
-156893	失闪	65536	22833	3	{n=0}
-156894	辗转反	136505	156888	1	null
-156895	输送带	65536	188472	3	{n=0}
-156896	辗转反侧	65536	156894	3	{i=0}
-156897	辘轳	65536	36760	3	{n=0}
-156898	辈分	65536	36744	3	{n=0}
-156899	辙口	65536	36761	3	{n=0}
-156900	辛亥革	135276	184422	1	null
-156901	监利	116289	30417	2	{ns=0}
-156902	稀松	65536	31232	3	{a=0}
-156903	眉开	107815	30473	1	null
-156904	支楞	90846	25903	1	null
-156905	辛亥革命	65536	156900	3	{l=0, nz=4}
-156906	辛家庄	65536	187767	3	{ns=1}
-156907	胃口	65536	32963	3	{n=5}
-156908	辛店村	65536	188504	3	{ns=0}
-156909	辛苦费	65536	197799	3	{n=0}
-156910	激活	111043	28608	2	{v=0, vn=0}
-156911	林农	65536	26519	3	{j=1, n=0}
-156912	辛辛苦	123411	201052	1	null
-156913	成功	84525	25104	2	{a=245, ad=34, an=52, v=0, vn=0}
-156914	监制	65536	30417	3	{n=0, v=4, vn=4}
-156915	林冠	65536	26519	3	{n=0}
-156916	激流	104334	28608	2	{n=2}
-156917	英姿焕	127672	195348	1	null
-156918	片纸	112051	29255	1	null
-156919	趋利	131019	36235	1	null
-156920	绸缎	65536	32504	3	{n=2}
-156921	辛辛苦苦	65536	156912	3	{z=2}
-156922	辛辛那提	65536	160429	3	{ns=1}
-156923	辛迪加	65536	201131	3	{n=0}
-156924	肾病	65536	32958	3	{n=1}
-156925	激浊	106911	28608	1	null
-156926	耗热	108535	32791	1	null
-156927	耐人	122284	32784	1	null
-156928	秽闻	65536	31229	3	{n=0}
-156929	碳酐	65536	30899	3	{n=0}
-156930	急管	80288	24613	1	null
-156931	歌后	65536	27468	3	{n=0}
-156932	菌核	65536	33740	3	{n=0}
-156933	辛集市	65536	202887	3	{ns=0}
-156934	辜负	65536	36764	3	{v=9}
-156935	辞旧迎	130905	180639	1	null
-156936	大潮	65536	22823	3	{n=14}
-156937	辞旧迎新	65536	156935	3	{l=18}
-156938	英雄汉	65536	210905	3	{n=2}
-156939	稿费	65536	31295	3	{n=7}
-156940	房贷	77297	25151	1	null
-156941	计生户	65536	179340	3	{j=9, n=0}
-156942	房费	65536	25151	3	{n=0}
-156943	辞职信	65536	187396	3	{n=1}
-156944	辟谣	65536	36767	3	{v=0}
-156945	辣丝丝	65536	157938	3	{z=0}
-156946	早操	65536	26089	3	{n=1}
-156947	山歌	65536	23665	3	{n=2}
-156948	牧歌	65536	29287	3	{n=1}
-156949	辣乎乎	65536	157987	3	{z=0}
-156950	辣子肉	136982	161317	1	null
-156951	辣子肉丁	65536	156950	3	{n=0}
-156952	辣蒿蒿	65536	171924	3	{z=0}
-156953	辣酱油	65536	175174	3	{n=0}
-156954	纪寿	65536	32426	3	{v=1}
-156955	辩才无	126095	160038	1	null
-156956	辩才无碍	65536	156955	3	{i=0}
-156957	激浪	65536	28608	3	{n=0}
-156958	抗病	65536	25239	3	{v=1, vn=2}
-156959	舌下	117005	33292	1	null
-156960	羞惭	65536	32670	3	{a=0}
-156961	碳酰	117157	30899	1	null
-156962	辩护律师	65536	161273	3	{l=0, n=7}
-156963	地黄	67932	22320	2	{n=0}
-156964	航天界	65536	165364	3	{n=1}
-156965	空气锤	65536	199846	3	{n=0}
-156966	记者席	65536	200870	3	{n=0}
-156967	辣椒油	65536	164839	3	{n=0}
-156968	辩护人	65536	160125	3	{n=7}
-156969	碳酸	112055	30899	2	{n=1}
-156970	辩论会	65536	170643	3	{n=1}
-156971	辩证唯物	136949	156973	1	null
-156972	指标	65536	25351	3	{n=79}
-156973	辩证唯	127682	170650	1	null
-156974	多足	67647	22810	1	null
-156975	辩证唯物主义	124204	156976	2	{n=6}
-156976	辩证唯物主	136934	156971	1	null
-156977	辩证唯物主义者	65536	156975	3	{n=1}
-156978	计划书	65536	170367	3	{n=1}
-156979	辩证唯物论者	65536	172719	3	{n=1}
-156980	旅顺	98227	26053	2	{ns=0}
-156981	辩证逻辑	65536	172089	3	{l=0}
-156982	答腔	65536	31572	3	{v=0}
-156983	缘缘	122031	32536	1	null
-156984	辫子	65536	36779	3	{n=1}
-156985	辱没门	132752	156994	1	null
-156986	肘窝	65536	32920	3	{n=0}
-156987	益鸟	65536	30410	3	{n=0}
-156988	织补	65536	32455	3	{v=0, vn=0}
-156989	辱没门庭	65536	156985	3	{l=1}
-156990	边界线	65536	201879	3	{n=0}
-156991	边缘科学	65536	166920	3	{n=0}
-156992	赔不	128829	36180	1	null
-156993	极点	65536	26497	3	{n=1}
-156994	辱没	118609	36785	2	{v=0}
-156995	袋料	65536	34955	3	{n=2}
-156996	边境税	65536	194510	3	{n=0}
-156997	边角料	65536	207133	3	{n=0}
-156998	稻热	110810	31291	1	null
-156999	脏物	65536	33039	3	{n=1}
-157000	格罗	103826	26684	1	null
-157001	猛犸	65536	29467	3	{n=0}
-157002	洪灾	65536	27946	3	{n=3}
-157003	巴蓬	81839	24052	1	null
-157004	辨义	65536	36776	3	{v=0}
-157005	边缘化	65536	204387	3	{v=0}
-157006	辽东湾	65536	165076	3	{ns=1}
-157007	湖滨	65536	28246	3	{n=0}
-157008	洗劫	109269	27927	2	{v=0, vn=0}
-157009	称得起	65536	164277	3	{v=0}
-157010	辰光	65536	36784	3	{nz=0}
-157011	得鱼	86855	24471	1	null
-157012	社会效	109507	151774	1	null
-157013	洪炉	65536	27946	3	{n=0}
-157014	辽中县	65536	165093	3	{ns=2}
-157015	羞愤	65536	32670	3	{v=0}
-157016	穆迪	115708	31302	2	{nz=0}
-157017	辽八厂	65536	165923	3	{j=0}
-157018	羞愧	65536	32670	3	{v=1, vn=0}
-157019	螺帽	65536	34746	3	{n=0}
-157020	辽沈战	132585	172864	1	null
-157021	失陪	65536	22833	3	{v=0}
-157022	盗码	105052	30423	1	null
-157023	数目	95179	25968	2	{n=12}
-157024	衬布	65536	34924	3	{n=0}
-157025	滑稽	110311	28369	2	{a=2}
-157026	辽沈战役	65536	157020	3	{nz=2}
-157027	输电网	65536	181612	3	{n=0}
-157028	辽宁省	65536	168505	3	{ns=51}
-157029	社会教	106973	151774	1	null
-157030	辽源市	65536	173384	3	{ns=0}
-157031	祸水	65536	31096	3	{n=0}
-157032	成化	65536	25104	3	{t=0}
-157033	缭绕	65536	32557	3	{v=1}
-157034	失陷	65536	22833	3	{v=0}
-157035	纽芬	122677	32445	1	null
-157036	身强力	133433	208912	1	null
-157037	脆生	117050	33030	2	{a=0}
-157038	花鼓舞	65536	227485	3	{n=0}
-157039	晚车	65536	26202	3	{n=0}
-157040	边防军	65536	210301	3	{n=4}
-157041	秦楼	113660	31206	1	null
-157042	达人知	135418	179534	1	null
-157043	织袜	117279	32455	1	null
-157044	辽阳县	65536	183531	3	{ns=0}
-157045	类推	65536	31867	3	{v=0, vn=0}
-157046	指桑	76816	25351	1	null
-157047	达人知命	65536	157042	3	{i=0}
-157048	达令港	65536	179576	3	{ns=1}
-157049	稀树	65536	31232	3	{ns=4}
-157050	平战	83136	24179	1	null
-157051	天火	65536	22825	3	{n=0}
-157052	蓖麻蚕	65536	150427	3	{n=0}
-157053	盟长	65536	30431	3	{n=2}
-157054	达兰花	135028	180228	1	null
-157055	紧俏	65536	32039	3	{a=1}
-157056	干支	81274	24178	2	{n=0}
-157057	赤霉素	65536	214043	3	{n=0}
-157058	达兰花嘎	130462	157054	1	null
-157059	达兰花嘎查	65536	157058	3	{ns=0}
-157060	歌咏	87525	27468	2	{n=1, v=1}
-157061	天灵	70245	22825	1	null
-157062	达力达	65536	180527	3	{nz=0}
-157063	支槽	65536	25903	3	{n=1}
-157064	脚踏船	65536	207653	3	{n=0}
-157065	珍藏	105698	29645	2	{n=2, v=16, vn=1}
-157066	达喀尔	128860	181268	2	{ns=0}
-157067	达喀尔港	65536	157066	3	{ns=0}
-157068	盲聋	116313	30450	1	null
-157069	趋势	65536	36235	3	{n=150}
-157070	天灾	80518	22825	2	{n=2}
-157071	象牙塔	65536	166441	3	{n=2}
-157072	报关	94170	25253	2	{v=2, vn=0}
-157073	晚辈	65536	26202	3	{n=4}
-157074	缴纳	65536	32564	3	{v=12, vn=1}
-157075	达坂城	65536	181718	3	{ns=1}
-157076	达姆弹	65536	182362	3	{n=0}
-157077	成千	94129	25104	1	null
-157078	板子	65536	26495	3	{n=1}
-157079	达孜县	65536	182768	3	{ns=0}
-157080	臭椿	65536	33261	3	{n=0}
-157081	达官贵	136929	182828	1	null
-157082	经营者	65536	204321	3	{n=60}
-157083	达官贵人	65536	157081	3	{i=0}
-157084	等级赛	65536	193311	3	{n=0}
-157085	此地	65536	27492	3	{r=0, s=8}
-157086	曲子	65536	26354	3	{n=1}
-157087	达拉特	131017	184669	2	{ns=2}
-157088	达拉特旗	65536	157087	3	{ns=0}
-157089	平房	65536	24179	3	{n=7, ns=0}
-157090	山毛	80746	23665	1	null
-157091	达尔文	65536	182952	3	{nr=3, ns=1}
-157092	达斡尔	131033	185397	1	null
-157093	抗癌	65536	25239	3	{v=1, vn=5}
-157094	登报	65536	30331	3	{v=0, vn=0}
-157095	胚盘	65536	32986	3	{n=0}
-157096	达斡尔族	65536	157092	3	{nz=1}
-157097	累教	122997	32047	1	null
-157098	眉心	65536	30473	3	{n=1}
-157099	炮火	65536	28846	3	{n=0}
-157100	达江乡	65536	187123	3	{ns=0}
-157101	平手	65536	24179	3	{n=0}
-157102	绣缎	65536	32483	3	{n=0}
-157103	西洋景	65536	216515	3	{n=0}
-157104	炮灰	65536	28846	3	{n=0}
-157105	达沃斯	65536	187159	3	{ns=6}
-157106	趁势	65536	36225	3	{d=1}
-157107	炒鱿	92473	28818	1	null
-157108	达科他	133079	190565	1	null
-157109	达科他州	65536	157108	3	{ns=0}
-157110	推子	65536	25512	3	{n=0}
-157111	达累斯	123280	191427	1	null
-157112	达累斯萨	131824	157111	1	null
-157113	达累斯萨拉	134135	157112	1	null
-157114	学部	80620	23398	2	{n=1}
-157115	旧房	65536	26087	3	{n=1}
-157116	柳子	99177	26611	1	null
-157117	达累斯萨拉姆	65536	157113	3	{ns=2}
-157118	达赖喇	135076	195562	1	null
-157119	达赖喇嘛	65536	157118	3	{n=0, nr=0}
-157120	羽田	65536	32701	3	{nr=1, ns=0, nz=0}
-157121	疯药	65536	30127	3	{n=0}
-157122	棉秆	65536	26825	3	{n=2}
-157123	迁善改	120318	160312	1	null
-157124	糊涂虫	65536	149334	3	{n=0}
-157125	迁善改过	65536	157123	3	{i=0}
-157126	菊石	65536	33738	3	{n=0}
-157127	迁安市	65536	161853	3	{ns=0}
-157128	质量型	65536	189154	3	{b=0}
-157129	迁移性	65536	169647	3	{n=0}
-157130	目光	115038	30446	2	{n=32}
-157131	迂夫子	65536	158851	3	{n=0}
-157132	迄今	137109	36804	2	{d=18}
-157133	拉丁	92365	25289	2	{nz=0}
-157134	裤带	65536	35044	3	{n=1}
-157135	迄今为	129647	157132	1	null
-157136	联络网	65536	208459	3	{n=0}
-157137	迄今为止	65536	157135	3	{l=15}
-157138	过不去	65536	210173	3	{v=4}
-157139	等闲视	121875	199274	1	null
-157140	过云雨	65536	210305	3	{n=0}
-157141	拉三	90555	25289	1	null
-157142	过五关	131125	210308	1	null
-157143	拉下	88073	25289	1	null
-157144	山民	65536	23665	3	{n=2}
-157145	牧民	65536	29287	3	{n=21}
-157146	迅即	65536	36805	3	{d=0}
-157147	试验区	65536	214335	3	{n=2}
-157148	玩火	101518	29609	2	{v=0}
-157149	辖区	65536	36758	3	{n=22}
-157150	过五关斩	136306	157142	1	null
-157151	过五关斩六	133599	157150	1	null
-157152	诱惑性	65536	172133	3	{n=0}
-157153	盲肠	109217	30450	2	{n=0}
-157154	治理	65536	27835	3	{n=1, v=60, vn=39}
-157155	蓦然	65536	34022	3	{d=2}
-157156	板实	65536	26495	3	{a=0}
-157157	过五关斩六将	65536	157151	3	{i=0}
-157158	过从甚	133665	210366	1	null
-157159	过从甚密	65536	157158	3	{i=0}
-157160	誓师	130003	35475	2	{b=0, v=0}
-157161	拉丝	89331	25289	1	null
-157162	详情	65536	35814	3	{n=0}
-157163	过关斩	133606	211043	1	null
-157164	过关斩将	65536	157163	3	{l=0}
-157165	过冬作	127878	211100	1	null
-157166	投票	88841	25237	2	{n=0, v=17, vd=0, vn=7}
-157167	过冬作物	65536	157165	3	{l=0}
-157168	耦耕	125804	32806	1	null
-157169	过去时	65536	211627	3	{n=0}
-157170	格老	98237	26684	1	null
-157171	平抑	65536	24179	3	{v=1}
-157172	过堂风	65536	212722	3	{n=0}
-157173	趣味	131041	36259	2	{n=7}
-157174	过境税	65536	212851	3	{n=0}
-157175	过失罪	65536	213025	3	{n=0}
-157176	见习期	65536	199469	3	{t=0}
-157177	肾盂	117751	32958	2	{n=0}
-157178	过头话	65536	213028	3	{n=1}
-157179	山水	81263	23665	2	{n=9}
-157180	多躁	75946	22810	1	null
-157181	过家家	65536	213670	3	{l=0}
-157182	过张乏	132836	214544	1	null
-157183	过张乏弛	65536	157182	3	{i=0}
-157184	过意不	135755	215039	1	null
-157185	瞬息间	65536	142428	3	{t=0}
-157186	肿胀	65536	32959	3	{v=1}
-157187	股东	126181	32929	2	{n=40}
-157188	簿记	120679	31807	2	{n=0}
-157189	大火	65536	22823	3	{n=9}
-157190	过意不去	65536	157184	3	{l=0}
-157191	过把瘾	65536	215418	3	{l=0}
-157192	过得去	65536	214663	3	{l=0, v=1}
-157193	过敏原	65536	216127	3	{n=0}
-157194	大灰	70721	22823	1	null
-157195	赔付	65536	36180	3	{v=4, vn=0}
-157196	诵读	65536	35829	3	{v=0}
-157197	过日子	65536	216277	3	{l=4}
-157198	过来人	65536	216661	3	{n=0}
-157199	过桥费	65536	216917	3	{n=1}
-157200	大灶	65536	22823	3	{n=1}
-157201	赏功	122370	36175	1	null
-157202	暴烈	65536	26292	3	{a=0}
-157203	茅庐	65536	33541	3	{n=0}
-157204	过氧化	129524	217879	1	null
-157205	洗印	65536	27927	3	{v=0}
-157206	过氧化氢	65536	157204	3	{n=0}
-157207	缩瞳药	65536	169623	3	{n=0}
-157208	换算	81773	25442	2	{v=0, vn=3}
-157209	过江之	117103	217935	1	null
-157210	过江之鲫	65536	157209	3	{i=0}
-157211	资源性	65536	195321	3	{n=3}
-157212	狗熊	65536	29399	3	{n=2}
-157213	过河拆	130491	218019	1	null
-157214	说不定	65536	200578	3	{l=3}
-157215	褒扬	65536	35090	3	{v=0, vn=0}
-157216	过河拆桥	65536	157213	3	{i=0}
-157217	谄媚	65536	35844	3	{v=0}
-157218	过渡内阁	65536	157228	3	{l=0}
-157219	滑竿	65536	28369	3	{n=0}
-157220	糊涂蛋	65536	149334	3	{n=0}
-157221	过犹不	135775	219561	1	null
-157222	歌唱	102479	27468	2	{v=8, vn=2}
-157223	报刊	84473	25253	2	{n=43}
-157224	过滤嘴	65536	218580	3	{n=3}
-157225	过犹不及	65536	157221	3	{i=0}
-157226	早日	65536	26089	3	{d=50, t=0}
-157227	过电影	65536	220197	3	{v=0}
-157228	过渡内	118817	218385	1	null
-157229	过目不忘	65536	157236	3	{i=1}
-157230	早早	99802	26089	2	{ad=0, d=10}
-157231	过目成诵	65536	162359	3	{i=0}
-157232	总工	92517	24635	2	{j=0}
-157233	荡检	112604	33633	1	null
-157234	跋扈	65536	36299	3	{a=0}
-157235	纳巴	107532	32435	1	null
-157236	过目不	132693	220638	1	null
-157237	过眼云	128345	220716	1	null
-157238	胎座	65536	32974	3	{n=0}
-157239	稍许	65536	31245	3	{d=0}
-157240	过眼云烟	65536	157237	3	{i=0}
-157241	犯规	65536	29359	3	{v=3, vn=0}
-157242	外边	65536	22806	3	{f=3}
-157243	罗曼蒂	123999	196671	1	null
-157244	拉买	94428	25289	1	null
-157245	蒸气	123950	33976	2	{n=0}
-157246	软硬兼	130551	215944	1	null
-157247	过眼烟云	65536	166019	3	{i=1}
-157248	旅馆	98436	26053	2	{n=9}
-157249	故障	65536	25925	3	{n=19}
-157250	干旱	82683	24178	2	{a=12, an=4}
-157251	系统论	65536	155211	3	{n=2}
-157252	过磷酸	119214	221159	1	null
-157253	耸立	65536	32824	3	{v=4}
-157254	天然	81147	22825	2	{b=21, d=0, n=0, nz=0}
-157255	过磷酸钙	65536	157252	3	{n=0}
-157256	大炮	65536	22823	3	{n=0}
-157257	过街天桥	65536	157300	3	{n=2}
-157258	过街老鼠	65536	167244	3	{l=0}
-157259	过路人	65536	226527	3	{n=0}
-157260	觉得	65536	35273	3	{v=84}
-157261	报到	65536	25253	3	{v=2, vn=0}
-157262	过路财神	65536	173235	3	{l=0}
-157263	惊讶	65536	24778	3	{a=5, ad=0, an=0, nz=0, v=0}
-157264	过门儿	65536	228568	3	{n=0}
-157265	外运	65536	22806	3	{j=0, v=6, vn=0}
-157266	曲射	92912	26354	1	null
-157267	蓄水	126191	33988	2	{v=2, vn=2}
-157268	迈阿密	65536	175047	3	{ns=2}
-157269	迎刃而	121972	174939	1	null
-157270	癸辰	65536	30328	3	{m=0}
-157271	迎刃而解	65536	157269	3	{i=3}
-157272	迎头痛	136287	176780	1	null
-157273	蕴涵	65536	34164	3	{v=3}
-157274	迎头痛击	65536	157272	3	{i=0}
-157275	拉亏	84412	25289	1	null
-157276	过滤器	65536	218580	3	{n=1}
-157277	舍本逐	121704	182016	1	null
-157278	票根	65536	31080	3	{n=0}
-157279	成名	93793	25104	2	{v=2, vn=0}
-157280	迎头赶上	65536	163315	3	{i=0}
-157281	电子化	65536	192405	3	{v=0, vd=0, vn=2}
-157282	推导	65536	25512	3	{v=0, vn=2}
-157283	迎客松	65536	177402	3	{n=1}
-157284	迎宾曲	65536	177430	3	{n=1}
-157285	洪熙	65536	27946	3	{t=0}
-157286	山沟	79969	23665	2	{n=8}
-157287	迎春会	65536	180093	3	{n=2}
-157288	迎来送	132843	180413	1	null
-157289	林化	65536	26519	3	{j=1}
-157290	早春	65536	26089	3	{t=6}
-157291	迎来送往	65536	157288	3	{i=2}
-157292	迎新会	65536	179976	3	{n=0}
-157293	细胞膜	65536	204586	3	{n=0}
-157294	迎难而	137317	192534	1	null
-157295	迎难而上	65536	157294	3	{l=1}
-157296	拉交	90994	25289	1	null
-157297	迎面而	130832	192698	1	null
-157298	数码	65536	25968	3	{b=1, n=6}
-157299	豁亮	65536	35905	3	{a=0}
-157300	过街天	130532	225095	1	null
-157301	迎面而来	65536	157297	3	{l=2}
-157302	洗发	108189	27927	1	null
-157303	聘礼	65536	32856	3	{n=0}
-157304	强生	65536	24378	3	{nz=0}
-157305	大烟	65536	22823	3	{n=0}
-157306	山河	65536	23665	3	{n=3}
-157307	滚翻	65536	28378	3	{vn=0}
-157308	目击	105184	30446	2	{v=0, vn=0}
-157309	运动健将	65536	163300	3	{n=0}
-157310	歌喉	65536	27468	3	{n=3}
-157311	运动神经	65536	173789	3	{l=0}
-157312	惊诧	65536	24778	3	{a=3, an=0}
-157313	营养液	65536	169568	3	{n=1}
-157314	运城市	65536	183853	3	{ns=0}
-157315	波折	65536	27874	3	{n=1}
-157316	外逃	65536	22806	3	{v=3}
-157317	运思精	134382	185980	1	null
-157318	航空学	65536	173893	3	{n=0}
-157319	运思精妙	65536	157317	3	{l=1}
-157320	曲尺	65536	26354	3	{n=0}
-157321	运河税	65536	189202	3	{n=0}
-157322	运用自如	65536	157324	3	{i=0}
-157323	曲尽	100914	26354	1	null
-157324	运用自	134408	191367	1	null
-157325	林区	65536	26519	3	{n=12}
-157326	研钵	65536	30740	3	{n=0}
-157327	对联	65536	23545	3	{n=15}
-157328	山泉	65536	23665	3	{n=2, nr=0, ns=0}
-157329	试验台	65536	214335	3	{n=0}
-157330	朝廷	65536	26397	3	{n=0}
-157331	碧螺	113480	30887	1	null
-157332	运用裕如	65536	159095	3	{i=0}
-157333	运筹帷幄	137292	158057	2	{i=1}
-157334	肠套	124931	32928	1	null
-157335	运筹帷幄之	137324	157333	1	null
-157336	运筹学	65536	192984	3	{n=0}
-157337	运筹帷幄之中	65536	157335	3	{i=1, n=0}
-157338	安神	65536	23433	3	{nz=0, v=0}
-157339	财政学	65536	191201	3	{n=2}
-157340	腹内	65536	33145	3	{s=2}
-157341	实达	65536	23454	3	{nz=3}
-157342	运行图	65536	196267	3	{n=7}
-157343	早晚	65536	26089	3	{d=2, n=0, t=1}
-157344	自主神	115053	206187	1	null
-157345	运算器	65536	193014	3	{n=0}
-157346	稀有金	117178	156785	1	null
-157347	蜷曲	65536	34615	3	{v=0}
-157348	运货舱	65536	197510	3	{n=0}
-157349	运费单	65536	197528	3	{n=0}
-157350	蒸汽	123952	33976	2	{n=1}
-157351	蛇头	65536	34503	3	{n=6}
-157352	折返	65536	25240	3	{v=0}
-157353	运载火	125694	198108	1	null
-157354	成员	91842	25104	2	{n=155}
-157355	运载火箭	65536	157353	3	{l=11}
-157356	运钞车	65536	199421	3	{n=1}
-157357	早晨	65536	26089	3	{t=19}
-157358	近些年	65536	198625	3	{t=14}
-157359	泰达	65536	27888	3	{nz=0}
-157360	近体诗	65536	198809	3	{n=0}
-157361	轿子	65536	36735	3	{n=0}
-157362	近代化	65536	198697	3	{v=0}
-157363	近似值	65536	198786	3	{n=0}
-157364	波拉	105292	27874	1	null
-157365	近卫军	65536	199857	3	{n=0}
-157366	运销业	65536	199519	3	{n=1}
-157367	窥豹	121434	31397	1	null
-157368	疑神	106332	30097	1	null
-157369	近在咫尺	65536	157392	3	{i=1}
-157370	近在眉睫	65536	166190	3	{l=0}
-157371	裂开	65536	35010	3	{v=1}
-157372	断气	65536	26029	3	{v=0}
-157373	甜情	100885	29980	1	null
-157374	报务	93921	25253	2	{n=0}
-157375	近在眼前	65536	166241	3	{l=0}
-157376	近墨者	116721	201198	1	null
-157377	跌交	65536	36300	3	{v=0}
-157378	近墨者黑	65536	157376	3	{i=0}
-157379	排戏	65536	25490	3	{v=3}
-157380	茴香豆	65536	149298	3	{n=0}
-157381	投稿	65536	25237	3	{v=1, vn=0}
-157382	近年来	65536	202682	3	{l=185}
-157383	近水楼	135897	206202	1	null
-157384	外遇	65536	22806	3	{n=0}
-157385	近水楼台	136585	157383	2	{i=0}
-157386	站点	65536	31449	3	{n=9}
-157387	安福	83586	23433	1	null
-157388	絮语	65536	32110	3	{n=0, v=0}
-157389	改版	65536	25913	3	{v=1}
-157390	目前	65536	30446	3	{t=700}
-157391	成命	65536	25104	3	{n=0}
-157392	近在咫	133759	200814	1	null
-157393	近水楼台先	132933	157385	1	null
-157394	渔具	65536	28180	3	{n=0}
-157395	天燃	73010	22825	1	null
-157396	外道	65536	22806	3	{n=0}
-157397	般配	65536	33324	3	{a=0}
-157398	说到底	65536	201637	3	{l=6}
-157399	寒鸦	65536	23506	3	{n=0}
-157400	官饷	65536	23448	3	{n=0}
-157401	疏散	65536	30095	3	{v=4, vn=0}
-157402	趋同	65536	36235	3	{a=0, v=1, vn=2}
-157403	运输业	65536	198130	3	{n=1}
-157404	近水楼台先得	131029	157393	1	null
-157405	近水楼台先得月	65536	157404	3	{i=1, n=0}
-157406	股价	65536	32929	3	{n=18}
-157407	趋向	65536	36235	3	{n=1, v=6, vn=2}
-157408	近现代	135921	208118	2	{j=0}
-157409	赝币	65536	36189	3	{n=0}
-157410	总店	65536	24635	3	{n=2}
-157411	近现代史	65536	157408	3	{j=0}
-157412	股份	125611	32929	2	{n=71}
-157413	山洞	65536	23665	3	{n=2}
-157414	失音	65536	22833	3	{v=0}
-157415	总府	76435	24635	1	null
-157416	监听	115609	30417	2	{vn=0}
-157417	近视眼	65536	213772	3	{n=0}
-157418	返光镜	65536	169523	3	{n=1}
-157419	狗牙	100569	29399	1	null
-157420	贸委	134530	36152	1	null
-157421	迈入	65536	36808	3	{v=1}
-157422	返回式	65536	170952	3	{b=0}
-157423	板岩	65536	26495	3	{n=0}
-157424	谁家	65536	35841	3	{r=6}
-157425	山洪	81485	23665	2	{n=1}
-157426	返朴归	126932	175134	1	null
-157427	返朴归真	65536	157426	3	{i=0}
-157428	碘钨	110819	30872	1	null
-157429	踱步	65536	36401	3	{v=0}
-157430	返璞归	126942	178568	1	null
-157431	渔农	108114	28180	1	null
-157432	大煞	65590	22823	1	null
-157433	臭名昭著	65536	147985	3	{i=0}
-157434	招蜂	91732	25307	1	null
-157435	拉伯	81850	25289	1	null
-157436	茶叶蛋	65536	200008	3	{n=0}
-157437	返璞归真	65536	157430	3	{i=0}
-157438	对胃	84997	23545	1	null
-157439	返祖现	121504	179776	1	null
-157440	纪工	120383	32426	1	null
-157441	返祖现象	65536	157439	3	{n=0}
-157442	返老还	125982	181483	1	null
-157443	返老还童	65536	157442	3	{i=0}
-157444	拉伸	91362	25289	1	null
-157445	返销粮	65536	186858	3	{n=0}
-157446	返青肥	65536	187452	3	{n=0}
-157447	还乡团	65536	186016	3	{n=1}
-157448	看不顺	107862	168142	1	null
-157449	还人情	65536	186105	3	{l=0}
-157450	还原染料	65536	163077	3	{l=0}
-157451	贞烈	65536	36126	3	{b=0}
-157452	这一下	65536	180882	3	{d=0, l=0}
-157453	安科	72591	23433	2	{nz=0}
-157454	答茬	65536	31572	3	{v=0}
-157455	盖茨	115247	30422	1	null
-157456	起居室	65536	209321	3	{n=1}
-157457	这么点儿	65536	166200	3	{r=0}
-157458	林县	65536	26519	3	{ns=0}
-157459	成品	86293	25104	2	{n=3}
-157460	跌价	65536	36300	3	{v=1, vn=3}
-157461	战书	65536	25112	3	{n=0}
-157462	财政寡	131604	191201	1	null
-157463	这会儿	65536	181164	3	{r=4}
-157464	达尔曼	65536	182952	3	{nz=0}
-157465	碧血	65536	30887	3	{n=0}
-157466	这么些	65536	180954	3	{r=0}
-157467	袖手	125747	34966	1	null
-157468	目力	103042	30446	2	{n=0}
-157469	社教	65536	31038	3	{j=0}
-157470	调查局	65536	215564	3	{n=6}
-157471	贷方	65536	36151	3	{n=0}
-157472	战乱	65536	25112	3	{n=2}
-157473	欢欢	103847	27426	1	null
-157474	欢欣	85060	27426	2	{a=1, an=1}
-157475	藤原	65536	34276	3	{nr=0}
-157476	大熊	75933	22823	1	null
-157477	稳步	119866	31283	2	{a=0, d=33, vd=0}
-157478	每况	101777	27599	1	null
-157479	这就是	121652	184515	1	null
-157480	这就是说	65536	157479	3	{c=2}
-157481	这时候	65536	187016	3	{r=3, t=0}
-157482	虽死	121611	34429	1	null
-157483	窝藏	65536	31389	3	{v=0}
-157484	星斗	65536	26143	3	{n=2}
-157485	这样一	131020	187593	1	null
-157486	赎回	65536	36174	3	{v=0, vn=1}
-157487	符号论	65536	141742	3	{n=0}
-157488	绕行	65536	32469	3	{v=1, vn=0}
-157489	这样一来	65536	157485	3	{l=7}
-157490	物尽	112858	29289	1	null
-157491	进一步	65536	205191	3	{b=25, d=546, n=1, v=0}
-157492	多边	75100	22810	2	{a=0, b=14, n=0}
-157493	缓存	65536	32531	3	{n=0}
-157494	林口	102557	26519	1	null
-157495	立体角	65536	187868	3	{n=0}
-157496	战争	92741	25112	2	{n=115, nz=0, v=0}
-157497	多达	65536	22810	3	{v=0}
-157498	战事	65536	25112	3	{n=3}
-157499	进不起	65536	205204	3	{v=1}
-157500	进人关	65536	205377	3	{n=0}
-157501	褐炭	65536	35088	3	{n=0}
-157502	山海	86937	23665	1	null
-157503	统计表	65536	176759	3	{n=0}
-157504	战云	65536	25112	3	{n=0}
-157505	跌伤	65536	36300	3	{v=0}
-157506	进出口	65536	206209	3	{j=0, n=0, v=1, vn=37}
-157507	进化史	122244	206493	2	{n=0}
-157508	纠葛	65536	32416	3	{n=3}
-157509	永无	104280	27704	1	null
-157510	进化史观	65536	157507	3	{n=0}
-157511	进取心	65536	206685	3	{n=2}
-157512	定补	66675	23450	1	null
-157513	蓄洪	113076	33988	2	{v=0, vn=0}
-157514	更胜	101925	26356	1	null
-157515	欢歌	94281	27426	2	{v=9, vn=0}
-157516	进口商品	65536	157761	3	{n=5}
-157517	生产操	65536	188608	3	{n=0}
-157518	早有	95450	26089	1	null
-157519	进修班	65536	205685	3	{n=1}
-157520	进寸退	133911	208767	1	null
-157521	进寸退尺	65536	157520	3	{i=0}
-157522	进度表	65536	209453	3	{n=0}
-157523	演练	65536	28436	3	{v=0, vn=2}
-157524	觉悟	65536	35273	3	{n=10, v=0, vn=0}
-157525	进步党	65536	212716	3	{n=0}
-157526	负电极	65536	186473	3	{n=0}
-157527	肇祸	65536	32903	3	{v=0}
-157528	累月	110524	32047	1	null
-157529	蒜瓣	65536	33948	3	{n=0}
-157530	进气口	65536	212891	3	{n=0}
-157531	进水口	65536	212923	3	{n=0}
-157532	林吉	94695	26519	1	null
-157533	豆腐块	65536	191174	3	{n=1}
-157534	演绎	103900	28436	2	{v=6, vn=0}
-157535	巴蜀	65536	24052	3	{j=0, n=1, nr=0, ns=0}
-157536	航空局	65536	173893	3	{n=0}
-157537	进球数	65536	214922	3	{n=0}
-157538	试验品	65536	214335	3	{n=0}
-157539	碎骨	107704	30862	1	null
-157540	早期	90278	26089	2	{d=0, f=10, t=11}
-157541	进货关	65536	221358	3	{n=0}
-157542	系列谈	65536	143747	3	{n=0}
-157543	进进出	136560	222050	1	null
-157544	进行式	65536	220115	3	{n=0}
-157545	外部	65536	22806	3	{f=47, n=0}
-157546	进进出出	65536	157543	3	{v=0}
-157547	天牛	65536	22825	3	{n=0}
-157548	报协	65536	25253	3	{j=0}
-157549	推崇	65536	25512	3	{v=4, vn=2}
-157550	山涧	65536	23665	3	{n=1}
-157551	安稳	65536	23433	3	{a=4, ad=1, an=2}
-157552	进退两	118969	222087	1	null
-157553	此处	65536	27492	3	{s=3}
-157554	报单	65536	25253	3	{n=0}
-157555	治疗	108375	27835	2	{n=1, v=53, vn=36}
-157556	还原剂	65536	187358	3	{n=0}
-157557	财政局	65536	191201	3	{n=8}
-157558	碱金	116016	30897	1	null
-157559	进退两难	65536	157552	3	{i=0}
-157560	进退守舍	65536	160980	3	{i=0}
-157561	进退维谷	65536	170048	3	{i=0}
-157562	远交近	131648	205857	1	null
-157563	远交近攻	65536	157562	3	{i=0}
-157564	远光灯	65536	206534	3	{n=2}
-157565	类新	116187	31867	1	null
-157566	远在天	120781	208037	1	null
-157567	好评	65536	22909	3	{n=29, v=0, vn=1}
-157568	滴鼻	110617	28404	1	null
-157569	紧凑	120371	32039	2	{a=1}
-157570	迈出	65536	36808	3	{v=41}
-157571	此外	65536	27492	3	{c=96, r=2}
-157572	渔利	65536	28180	3	{v=0}
-157573	神学院	65536	197483	3	{n=0}
-157574	远在天边	65536	157566	3	{l=0}
-157575	远征军	65536	210174	3	{n=0}
-157576	远房亲	132463	210876	1	null
-157577	远房亲戚	65536	157576	3	{n=0}
-157578	远水解	137598	213425	1	null
-157579	远水解不	137479	157578	1	null
-157580	米/	111087	31859	1	null
-157581	远水解不了	120768	157579	1	null
-157582	近代史	65536	198697	3	{n=3}
-157583	纪年	65536	32426	3	{n=2, v=7}
-157584	耐克	65536	32784	3	{nr=1, nz=2}
-157585	远水解不了近	129374	157581	1	null
-157586	远水解不了近渴	65536	157585	3	{i=1, n=0}
-157587	苗乡	65536	33495	3	{n=0}
-157588	远洋船	65536	213640	3	{n=1}
-157589	穿云	110493	31359	1	null
-157590	远涉重	129678	213766	1	null
-157591	微雕	65536	24494	3	{n=1, v=0}
-157592	好话	65536	22909	3	{n=2}
-157593	远涉重洋	65536	157590	3	{l=1}
-157594	投笔	95096	25237	1	null
-157595	社旗	118514	31038	2	{ns=0}
-157596	家蚊	65536	23478	3	{n=0}
-157597	总归	65536	24635	3	{d=0}
-157598	支气	86172	25903	1	null
-157599	远渡重	129685	213918	1	null
-157600	远渡重洋	65536	157599	3	{l=0}
-157601	治病	102633	27835	2	{v=15, vn=1}
-157602	远见卓	121821	220990	1	null
-157603	远见卓识	65536	157602	3	{i=7}
-157604	菊科	65536	33738	3	{n=1}
-157605	远视眼	65536	220995	3	{n=0}
-157606	致富路	65536	162707	3	{n=9}
-157607	家蚕	65536	23478	3	{n=0}
-157608	远走高	118479	221933	1	null
-157609	辐射仪	65536	156868	3	{n=0}
-157610	微雨	65536	24494	3	{n=0}
-157611	绞刀	65536	32478	3	{n=0}
-157612	平摊	65536	24179	3	{v=1}
-157613	远走高飞	65536	157608	3	{i=2}
-157614	远近闻	136102	222542	1	null
-157615	好说	74467	22909	2	{a=1}
-157616	萍水	119526	33805	2	{n=1}
-157617	研究院	114039	150607	2	{n=23}
-157618	赔偿	128297	36180	2	{n=1, v=36, vn=30}
-157619	远近闻名	65536	157614	3	{i=5}
-157620	星星	101008	26143	2	{n=7, q=1}
-157621	远远地	65536	222553	3	{z=5}
-157622	远郊区	65536	222791	3	{s=1}
-157623	违反者	65536	165936	3	{n=1}
-157624	朝思	96464	26397	1	null
-157625	违心之	121856	168998	1	null
-157626	违心之论	65536	157625	3	{n=0}
-157627	标灯	65536	26631	3	{n=0}
-157628	绞刑	117581	32478	2	{n=0}
-157629	玩牌	65536	29609	3	{v=0}
-157630	工潮	65536	24037	3	{n=0}
-157631	膀胱	118599	33152	2	{n=0}
-157632	干杯	65536	24178	3	{v=4}
-157633	端木	65536	31471	3	{nr=0}
-157634	绢花	65536	32482	3	{n=0}
-157635	盖菜	65536	30422	3	{n=0}
-157636	辩士	65536	36777	3	{n=0}
-157637	环卫	65536	29615	3	{j=10, n=0}
-157638	贾拉	129602	36158	1	null
-157639	违法不究	65536	157642	3	{l=4}
-157640	抽薪	88203	25277	1	null
-157641	违法乱纪	124872	157742	2	{i=4}
-157642	违法不	126289	172344	1	null
-157643	蜂拥而来	65536	151145	3	{l=1, v=1}
-157644	山清	80089	23665	1	null
-157645	违法乱纪者	65536	157641	3	{n=1}
-157646	多道	68277	22810	1	null
-157647	违法必究	65536	162178	3	{l=1}
-157648	突破	119856	31361	2	{n=1, v=75, vn=95}
-157649	大爷	65536	22823	3	{n=17}
-157650	干极	65536	24178	3	{n=1}
-157651	战伤	65536	25112	3	{n=0}
-157652	违禁物品	65536	165255	3	{l=0}
-157653	排挡	65536	25490	3	{n=0}
-157654	违约金	65536	176905	3	{n=0}
-157655	贵宾楼	65536	187865	3	{n=0, nz=0}
-157656	排挤	65536	25490	3	{v=4, vn=1}
-157657	布鲁	86182	24067	1	null
-157658	玩物	114777	29609	2	{n=0}
-157659	瘦长	65536	30246	3	{z=0}
-157660	轰击	65536	36720	3	{v=0}
-157661	强的	84321	24378	1	null
-157662	拉倒	65536	25289	3	{v=0}
-157663	违禁品	65536	175588	3	{n=1}
-157664	盗窃	111170	30423	2	{v=9, vn=5}
-157665	大片	77336	22823	2	{n=12}
-157666	总得	65536	24635	3	{d=4}
-157667	违章人	65536	175939	3	{n=3}
-157668	违者必	126319	177256	1	null
-157669	违者必究	65536	157668	3	{l=0}
-157670	茶壶盖	65536	201288	3	{n=0}
-157671	天狗	65936	22825	2	{n=0}
-157672	连丰村	65536	207131	3	{ns=0}
-157673	断流	65536	26029	3	{v=3, vn=0}
-157674	连云港	133609	207228	2	{ns=10}
-157675	连云港市	65536	157674	3	{ns=0}
-157676	连台本	132577	208603	1	null
-157677	干果	65536	24178	3	{n=7}
-157678	干枝	65536	24178	3	{n=2}
-157679	癸酉	65536	30328	3	{m=0}
-157680	连台本戏	65536	157676	3	{l=0}
-157681	连史纸	65536	208605	3	{n=0}
-157682	连城诀	65536	209593	3	{nz=0}
-157683	大牙	65536	22823	3	{n=0}
-157684	褐煤	65536	35088	3	{n=0}
-157685	贤哲	65536	36132	3	{n=0}
-157686	永暑	96733	27704	1	null
-157687	连字号	65536	210498	3	{n=0}
-157688	连带关	125694	211217	1	null
-157689	连带关系	65536	157688	3	{l=0}
-157690	连平县	65536	211294	3	{ns=0}
-157691	终久	65536	32456	3	{d=0}
-157692	大牢	65536	22823	3	{n=0}
-157693	绒衣	65536	32466	3	{n=0}
-157694	穴道	65536	31348	3	{n=0}
-157695	硫酸钠	65536	155441	3	{n=0}
-157696	干枯	65536	24178	3	{a=0, v=1}
-157697	登攀	65536	30331	3	{v=1, vn=0}
-157698	连心桥	65536	211630	3	{n=0}
-157699	警示牌	65536	209391	3	{n=2}
-157700	连成一	128450	212219	1	null
-157701	标点	92826	26631	2	{n=2, vn=0}
-157702	神经病	65536	206548	3	{n=0}
-157703	谱子	65536	35889	3	{n=0}
-157704	熟字	65536	29087	3	{n=0}
-157705	连成一片	65536	157700	3	{l=3}
-157706	脑门穴	65536	204216	3	{n=1}
-157707	连拱坝	65536	212444	3	{n=0}
-157708	天狼	74543	22825	1	null
-157709	连日来	65536	213200	3	{l=35}
-157710	绿林起	124369	197689	1	null
-157711	连珠灯	65536	216779	3	{n=0}
-157712	狗獾	65536	29399	3	{n=0}
-157713	小三	82919	23567	1	null
-157714	衣冠楚	124665	187291	1	null
-157715	大特	79277	22823	1	null
-157716	蛏田	65536	34511	3	{n=0}
-157717	小不	77840	23567	1	null
-157718	引蛇	89510	24341	1	null
-157719	连篇累	128466	218802	1	null
-157720	竖起	65536	31446	3	{v=11}
-157721	小丑	65536	23567	3	{n=2}
-157722	签约	65536	31614	3	{v=7, vn=1}
-157723	羽毛缎	65536	154731	3	{n=0}
-157724	神经痛	65536	206548	3	{n=1}
-157725	硫酸钾	65536	155441	3	{n=0}
-157726	费尽心	128387	168370	1	null
-157727	连篇累牍	65536	157719	3	{i=0}
-157728	连续不断	65536	157809	3	{l=0}
-157729	连接号	65536	212624	3	{n=0}
-157730	小业	86677	23567	1	null
-157731	股值	65536	32929	3	{j=0}
-157732	连续光谱	65536	158637	3	{l=0}
-157733	连续函数	65536	158817	3	{n=0}
-157734	连环保	65536	216730	3	{n=0}
-157735	定襄	83991	23450	2	{ns=0}
-157736	连绵不	131708	219616	1	null
-157737	连绵不断	65536	157736	3	{l=1}
-157738	报名	86658	25253	2	{n=0, v=30, vn=0}
-157739	环发	65536	29615	3	{j=1, ns=0}
-157740	小两	85232	23567	1	null
-157741	狼烟	112197	29436	1	null
-157742	违法乱	125215	172344	1	null
-157743	跌倒	65536	36300	3	{v=1}
-157744	强盗	79430	24378	2	{n=2}
-157745	连脚裤	65536	220165	3	{n=0}
-157746	小个	85910	23567	2	{n=0}
-157747	连衣裙	65536	222030	3	{n=0}
-157748	强盛	65536	24378	3	{a=8, an=0}
-157749	翻天覆	123010	193313	1	null
-157750	葫芦科	65536	150237	3	{n=0}
-157751	敌害	65536	25932	3	{n=1}
-157752	小丰	72879	23567	1	null
-157753	生产方	111190	188608	1	null
-157754	战例	65536	25112	3	{n=0}
-157755	硫酸铜	65536	155441	3	{n=0}
-157756	终了	65536	32456	3	{v=1, vn=0}
-157757	连裆裤	65536	222129	3	{n=0}
-157758	秦汉	65536	31206	3	{j=0, t=0}
-157759	燕莎	65536	29141	3	{nz=1}
-157760	福利院	65536	171194	3	{n=12}
-157761	进口商	135819	206698	2	{n=0}
-157762	女队	65536	22899	3	{n=1, nt=0}
-157763	翻来覆	123918	196957	1	null
-157764	终于	65536	32456	3	{d=102, v=0}
-157765	干柴	65536	24178	3	{n=1}
-157766	大犬	75937	22823	1	null
-157767	连裤袜	65536	222159	3	{n=0}
-157768	连贯性	65536	223258	3	{n=0}
-157769	织布鸟	65536	146138	3	{n=1}
-157770	柳州	100216	26611	2	{ns=16}
-157771	敌寇	65536	25932	3	{n=0}
-157772	连跑带	121438	223420	1	null
-157773	耦色	65536	32806	3	{n=0}
-157774	连珠炮	65536	216779	3	{n=0}
-157775	练字	65536	32451	3	{v=2, vn=1}
-157776	歌坛	65536	27468	3	{n=5}
-157777	连跑带跳	65536	157772	3	{l=0}
-157778	罩衣	65536	32617	3	{n=0}
-157779	熟客	65536	29087	3	{n=0}
-157780	硫酸铵	65536	155441	3	{n=0}
-157781	腮腺	118512	33134	2	{n=0}
-157782	螺旋桨	65536	158953	3	{n=1}
-157783	推己	95598	25512	1	null
-157784	连轴转	65536	223839	3	{v=0}
-157785	家蝇	65536	23478	3	{n=0}
-157786	罩衫	65536	32617	3	{n=0}
-157787	连通器	65536	224005	3	{n=0}
-157788	连锁反应	65536	157796	3	{l=2}
-157789	站牌	65536	31449	3	{n=1}
-157790	裁处	65536	35009	3	{vn=0}
-157791	连锅端	65536	225264	3	{v=0}
-157792	眉批	65536	30473	3	{n=0}
-157793	言之无	123414	186521	1	null
-157794	定西	65536	23450	3	{ns=1}
-157795	柳巷	90826	26611	1	null
-157796	连锁反	133576	225260	1	null
-157797	小九	86650	23567	1	null
-157798	连阴天	65536	225567	3	{n=0}
-157799	报告	95267	25253	2	{n=196, v=30, vn=8}
-157800	安第	78997	23433	1	null
-157801	糕饼	65536	31957	3	{n=0}
-157802	连鬓胡	134430	226814	1	null
-157803	硫酸锌	65536	155441	3	{n=0}
-157804	秧鸡	65536	31207	3	{n=0}
-157805	臭气	65536	33261	3	{n=0}
-157806	连鬓胡子	65536	157802	3	{l=0}
-157807	蓬荜生	113769	167334	1	null
-157808	纪录	114126	32426	2	{n=104, v=1, vn=0}
-157809	连续不	131699	219608	1	null
-157810	干校	65536	24178	3	{n=2}
-157811	迟到者	65536	158232	3	{n=2}
-157812	投篮	65536	25237	3	{v=0, vn=2}
-157813	赞叹声	65536	162565	3	{n=0}
-157814	软件包	65536	205330	3	{n=0}
-157815	迟效肥	131809	163120	1	null
-157816	小买	85378	23567	1	null
-157817	棉籽	97244	26825	2	{n=0}
-157818	迟效肥料	65536	157815	3	{l=0}
-157819	激烈	65536	28608	3	{a=72, ad=0, an=0}
-157820	罩袍	65536	32617	3	{n=0}
-157821	敌对	65536	25932	3	{a=18, ad=0, an=1, vn=0}
-157822	绒裤	65536	32466	3	{n=0}
-157823	花花点	125382	220219	1	null
-157824	臭氧	124382	33261	2	{n=3}
-157825	进修生	65536	205685	3	{n=0}
-157826	迟浩田	65536	165201	3	{nr=50}
-157827	聚酯薄	113079	204264	1	null
-157828	迟疑不	136920	167289	1	null
-157829	罩袖	65536	32617	3	{n=0}
-157830	祖国	65536	31062	3	{n=334}
-157831	战俘	80407	25112	2	{n=5}
-157832	指正	65536	25351	3	{v=0}
-157833	轰动	136668	36720	2	{v=12, vn=12}
-157834	普米	95415	26222	1	null
-157835	迟疑不决	65536	157828	3	{i=0}
-157836	迟迟疑	127741	174023	1	null
-157837	疏朗	65536	30095	3	{a=0}
-157838	迟迟疑疑	65536	157836	3	{z=0}
-157839	肠子	65536	32928	3	{n=0}
-157840	膀臂	65536	33152	3	{n=0}
-157841	说得着	65536	205068	3	{l=0}
-157842	迢迢	137881	36834	2	{z=1}
-157843	小事	65536	23567	3	{n=16}
-157844	裁夺	65536	35009	3	{v=0}
-157845	渔区	65536	28180	3	{n=0}
-157846	小于	85218	23567	2	{nr=0, v=9}
-157847	腐殖	124960	33104	1	null
-157848	蔗渣	65536	34071	3	{n=0}
-157849	政敌	65536	25919	3	{n=0}
-157850	浑蛋	65536	27985	3	{n=0}
-157851	天王	74550	22825	2	{n=3, ns=0}
-157852	小五	69385	23567	1	null
-157853	小井	82521	23567	1	null
-157854	虫情	65536	34411	3	{n=0}
-157855	蠢材	65536	34850	3	{n=0}
-157856	迢迢万	120534	157842	1	null
-157857	芦沟	121829	33446	1	null
-157858	迢迢万里	65536	157856	3	{i=0}
-157859	荧光粉	65536	149614	3	{n=0}
-157860	定见	65536	23450	3	{n=0}
-157861	观察所	65536	181102	3	{n=0}
-157862	纪律	65536	32426	3	{n=71}
-157863	定规	65536	23450	3	{n=1}
-157864	迥异	65536	36837	3	{a=0}
-157865	迥然不同	65536	157866	3	{i=0}
-157866	迥然不	136349	162524	1	null
-157867	迥然相异	65536	168341	3	{i=1}
-157868	臂章	65536	33218	3	{n=0}
-157869	治监	65536	27835	3	{v=2}
-157870	迪恩街	65536	158455	3	{ns=0}
-157871	小产	65536	23567	3	{v=0}
-157872	绞包	106108	32478	1	null
-157873	租约	65536	31199	3	{n=0}
-157874	迪斯尼	65536	159805	3	{nr=4, nz=3}
-157875	迫不及待	65536	157880	3	{i=6}
-157876	星期	102746	26143	2	{n=14, nz=0}
-157877	微音	89452	24494	1	null
-157878	谨小	129231	35880	1	null
-157879	迫不得已	65536	160901	3	{i=0}
-157880	迫不及	133422	159305	1	null
-157881	系列赛	65536	143747	3	{n=3}
-157882	成器	65536	25104	3	{v=0}
-157883	迫击炮	65536	160311	3	{n=0}
-157884	西洋楼	65536	216515	3	{ns=0}
-157885	边防哨	65536	210301	3	{n=0}
-157886	迫切性	65536	160323	3	{n=2}
-157887	迫在眉	127317	161636	1	null
-157888	迫在眉睫	65536	157887	3	{i=7}
-157889	旧故	65536	26087	3	{n=0}
-157890	小人	85924	23567	2	{n=1}
-157891	大猩	70689	22823	1	null
-157892	迭出	65536	36845	3	{v=4}
-157893	大猫	71105	22823	1	null
-157894	童话集	65536	179135	3	{n=0}
-157895	调色盘	65536	222361	3	{n=0}
-157896	支派	65536	25903	3	{n=0}
-157897	赭色	65536	36205	3	{n=0}
-157898	条播	65536	26465	3	{n=0}
-157899	支流	65536	25903	3	{n=4}
-157900	综艺	65536	32508	3	{b=4, n=0, nz=0}
-157901	诊治	65536	35786	3	{v=8, vn=2}
-157902	肇端	65536	32903	3	{n=0}
-157903	迭部县	65536	174002	3	{ns=3}
-157904	板床	65536	26495	3	{n=0}
-157905	贪污罪	65536	183542	3	{n=3}
-157906	迷你裙	65536	186004	3	{n=0}
-157907	述古	65536	36848	3	{v=1}
-157908	迷幻药	65536	189871	3	{n=0}
-157909	旧教	65536	26087	3	{n=0}
-157910	平整	65536	24179	3	{a=1, v=1, vn=1}
-157911	干梆	82325	24178	1	null
-157912	象牙宝	131638	166441	1	null
-157913	迷彩服	65536	190109	3	{n=0}
-157914	蔫不溜	65536	150681	3	{z=0}
-157915	小仓	65536	23567	3	{nr=0}
-157916	演职	111608	28436	1	null
-157917	迷惑不	122619	190469	1	null
-157918	迷惑不解	65536	157917	3	{l=0}
-157919	迷离扑	131533	196847	1	null
-157920	耐力	65536	32784	3	{n=2}
-157921	迷离扑朔	65536	157919	3	{i=0}
-157922	迷走神	125460	201892	1	null
-157923	迷走神经	65536	157922	3	{l=0}
-157924	迷迷忽忽	65536	157937	3	{z=0}
-157925	推广	85601	25512	2	{v=103, vn=42}
-157926	签署	65536	31614	3	{v=99, vn=3}
-157927	罪犯	65536	32618	3	{n=16}
-157928	祖坟	65536	31062	3	{n=3}
-157929	迷迷瞪瞪	65536	163998	3	{z=0}
-157930	翘足	120905	32728	1	null
-157931	常青	82352	24120	2	{nr=0, z=3}
-157932	小令	65536	23567	3	{n=0}
-157933	膝盖	107861	33181	2	{n=4}
-157934	罪状	65536	32618	3	{n=0}
-157935	迷迷糊糊	65536	165310	3	{z=0}
-157936	次要	65536	27425	3	{b=6}
-157937	迷迷忽	133351	202539	1	null
-157938	辣丝	136948	36771	1	null
-157939	翩翩起	111979	149042	1	null
-157940	疏松	65536	30095	3	{a=1, vn=0}
-157941	类木	107443	31867	1	null
-157942	星条	94985	26143	1	null
-157943	登时	65536	30331	3	{d=0}
-157944	耐劳	65536	32784	3	{a=0}
-157945	迷途知	121127	202568	1	null
-157946	葵花油	65536	158569	3	{n=0}
-157947	迷途知返	65536	157945	3	{i=1}
-157948	谦恭	65536	35878	3	{a=2}
-157949	追击战	65536	199929	3	{n=0}
-157950	小件	65536	23567	3	{n=1}
-157951	葡萄牙	129361	158026	2	{ns=5}
-157952	聊以自	121063	146351	1	null
-157953	迷魂汤	65536	205430	3	{n=0}
-157954	赫尔	118414	36203	1	null
-157955	迹地	65536	36857	3	{n=0}
-157956	迸发	65536	36856	3	{v=1}
-157957	蛋壳	65536	34507	3	{n=0}
-157958	树上	65536	26641	3	{s=3}
-157959	葱白	65536	33905	3	{n=0}
-157960	较劲	65536	36739	3	{v=1}
-157961	小企	86730	23567	1	null
-157962	追名逐	136947	200459	1	null
-157963	窘迫	65536	31384	3	{a=3, an=0}
-157964	手上	65536	25163	3	{s=13}
-157965	手下	94289	25163	2	{n=3, s=0}
-157966	臆见	65536	33222	3	{n=0}
-157967	手不	77125	25163	1	null
-157968	纪念	141470	32426	2	{n=5, v=67, vn=25}
-157969	好赖	65536	22909	3	{n=0}
-157970	豁免	127763	35905	2	{v=0}
-157971	天球	80492	22825	2	{n=0}
-157972	迪庆	65536	36842	3	{ns=2}
-157973	肝火	65536	32925	3	{n=0}
-157974	天理	74750	22825	2	{n=0}
-157975	树丛	65536	26641	3	{n=1}
-157976	表演机	65536	205650	3	{n=1}
-157977	财神老	125213	196352	1	null
-157978	玩玩	65536	29609	3	{v=0}
-157979	平方	88409	24179	2	{n=0, q=0}
-157980	追名逐利	65536	157962	3	{i=0}
-157981	追悔莫	136534	203666	1	null
-157982	葛洲	127840	33883	1	null
-157983	誓愿	65536	35475	3	{n=0}
-157984	追悔莫及	65536	157981	3	{i=1}
-157985	小伙	86466	23567	2	{n=7}
-157986	躬身	65536	36524	3	{v=0}
-157987	辣乎	136903	36771	1	null
-157988	渔叉	65536	28180	3	{n=0}
-157989	大王	65536	22823	3	{n=7}
-157990	秧歌队	65536	144791	3	{n=5}
-157991	追悼会	65536	203706	3	{n=1}
-157992	小传	65536	23567	3	{n=0}
-157993	练就	65536	32451	3	{v=2}
-157994	注释	65536	27880	3	{n=0, v=0, vn=0}
-157995	好走	65536	22909	3	{a=0}
-157996	接应	65536	25509	3	{v=0, vn=0}
-157997	注重	65536	27880	3	{v=78, vn=0}
-157998	辨别	65536	36776	3	{v=0, vn=0}
-157999	手中	65536	25163	3	{n=0, s=83}
-158000	自治省	65536	213995	3	{n=1}
-158001	置之脑	123427	145858	1	null
-158002	成因	65536	25104	3	{n=3}
-158003	追昔抚	137836	205074	1	null
-158004	成团	65536	25104	3	{v=1}
-158005	许愿	65536	35768	3	{v=2}
-158006	追昔抚今	65536	158003	3	{i=0}
-158007	而立	125743	32780	1	null
-158008	肝炎	65536	32925	3	{n=3}
-158009	耗用	65536	32791	3	{v=1}
-158010	追星族	65536	205085	3	{n=2}
-158011	紧压	109194	32039	1	null
-158012	舒畅	65536	33298	3	{a=2, ad=0, an=0}
-158013	混铁	101820	28151	1	null
-158014	稿酬	65536	31295	3	{n=0}
-158015	拉关	83788	25289	1	null
-158016	追本穷	129713	205354	1	null
-158017	追本穷源	65536	158016	3	{i=0}
-158018	走私犯	65536	213752	3	{n=0}
-158019	碰运	111974	30896	1	null
-158020	天琴	76465	22825	1	null
-158021	获得者	65536	158229	3	{n=15}
-158022	耗电	108536	32791	2	{v=4}
-158023	平日	65536	24179	3	{t=12}
-158024	多重	65536	22810	3	{a=1, b=0}
-158025	追根究	133814	205623	1	null
-158026	葡萄	128678	33889	2	{n=24}
-158027	追根究底	65536	158025	3	{i=0}
-158028	追根问底	65536	165057	3	{i=0}
-158029	谐振	65536	35856	3	{n=0}
-158030	追源溯	130062	207246	1	null
-158031	追源溯流	65536	158030	3	{i=0}
-158032	追诉权	65536	214727	3	{n=0}
-158033	绣花	117680	32483	2	{v=1, vn=0}
-158034	追逐赛	65536	215822	3	{n=0}
-158035	追随者	65536	217485	3	{n=0}
-158036	追风逐	128032	218060	1	null
-158037	追风逐电	65536	158036	3	{i=0}
-158038	退伍军人	65536	158079	3	{n=12}
-158039	小住	65536	23567	3	{v=0}
-158040	平时	65536	24179	3	{n=0, t=30}
-158041	退伍兵	65536	206841	3	{n=6}
-158042	退居二	125596	210225	1	null
-158043	退居二线	65536	158042	3	{l=2}
-158044	推延	65536	25512	3	{v=0}
-158045	赣州	131000	36195	2	{ns=2}
-158046	辕马	65536	36757	3	{n=0}
-158047	退役费	65536	211045	3	{n=0}
-158048	退格符	65536	213288	3	{n=0}
-158049	旧日	65536	26087	3	{t=0}
-158050	笨重	65536	31528	3	{a=1}
-158051	票款	65536	31080	3	{n=1}
-158052	退烧药	65536	215507	3	{n=0}
-158053	舌剑	126307	33292	1	null
-158054	推开	65536	25512	3	{v=20, vn=0}
-158055	抗税	65536	25239	3	{v=0, vn=0}
-158056	手书	91066	25163	2	{n=0, v=1}
-158057	运筹帷	133201	192984	1	null
-158058	棉絮	65536	26825	3	{n=0}
-158059	试用期	65536	204763	3	{n=0, t=0}
-158060	蜂乳	65536	34562	3	{n=0}
-158061	退休费	65536	206845	3	{n=0}
-158062	平昌	65536	24179	3	{ns=1}
-158063	退热药	65536	215513	3	{n=0}
-158064	退票费	65536	217684	3	{n=1}
-158065	跋文	65536	36299	3	{n=1}
-158066	旧时	65536	26087	3	{t=1}
-158067	退税率	65536	217850	3	{n=1}
-158068	退而结	125482	219384	1	null
-158069	平易	72427	24179	2	{a=1}
-158070	平昔	65536	24179	3	{d=0}
-158071	稳中有降	65536	140905	3	{l=1}
-158072	试用本	65536	204763	3	{n=0}
-158073	挂红	65536	25346	3	{v=0}
-158074	大珠	76606	22823	1	null
-158075	退而结网	65536	158068	3	{l=1}
-158076	退职费	65536	219448	3	{n=0}
-158077	退避三	124785	223595	1	null
-158078	退避三舍	65536	158077	3	{i=1}
-158079	退伍军	137884	206841	1	null
-158080	珍视	65536	29645	3	{v=6, vn=0}
-158081	干椰	82553	24178	1	null
-158082	跌入	65536	36300	3	{v=0}
-158083	药学院	65536	201778	3	{n=1}
-158084	送人情	65536	199898	3	{l=2}
-158085	荡气	127298	33633	1	null
-158086	送信儿	65536	200193	3	{l=0}
-158087	大班	65536	22823	3	{n=0}
-158088	送子观	119192	203120	1	null
-158089	稻田	112051	31291	2	{n=0}
-158090	言之有	123416	186521	1	null
-158091	送子观音	65536	158088	3	{n=2}
-158092	荒淫无耻	65536	149489	3	{i=0}
-158093	送审稿	65536	203201	3	{n=1}
-158094	试验园	65536	214335	3	{n=1}
-158095	棋锋	65536	26827	3	{n=0}
-158096	微风	65536	24494	3	{n=0}
-158097	送往迎	131629	204192	1	null
-158098	送往迎来	65536	158097	3	{i=1}
-158099	辅仁	65536	36741	3	{nz=1}
-158100	襄樊	128017	35140	2	{ns=13}
-158101	送气音	65536	207412	3	{n=0}
-158102	挂线	86198	25346	1	null
-158103	辟邪	65536	36767	3	{v=0}
-158104	标牌	65536	26631	3	{n=10}
-158105	迈向	65536	36808	3	{v=33, vn=0}
-158106	波斯	105256	27874	2	{ns=0}
-158107	送礼者	65536	210780	3	{n=2}
-158108	送秋波	65536	210923	3	{l=0}
-158109	棋错	105145	26827	1	null
-158110	送话器	65536	215549	3	{n=0}
-158111	跑马山	65536	204525	3	{ns=0}
-158112	大理	76123	22823	2	{ns=23}
-158113	送货上	119738	215879	1	null
-158114	送货上门	65536	158113	3	{l=0}
-158115	质量学	65536	189154	3	{n=2}
-158116	条文	65536	26465	3	{n=5}
-158117	送风机	65536	218862	3	{n=0}
-158118	胰蛋	116537	33008	1	null
-158119	狼牙	110778	29436	1	null
-158120	版面	65536	29256	3	{n=31}
-158121	送餐费	65536	218928	3	{n=1}
-158122	支渠	65536	25903	3	{n=0}
-158123	适可而	130637	178981	1	null
-158124	篱障	65536	31729	3	{n=0}
-158125	改用	65536	25913	3	{v=1}
-158126	浓绿	65536	27987	3	{b=0}
-158127	适可而止	65536	158123	3	{i=0}
-158128	裁决权	65536	155917	3	{n=0}
-158129	适应性	65536	181706	3	{n=1}
-158130	适度从	126097	181724	1	null
-158131	电子器	115791	192405	1	null
-158132	焊道	65536	28938	3	{n=0}
-158133	衬托	65536	34924	3	{v=3, vn=0}
-158134	树人	65536	26641	3	{nz=0}
-158135	辅以	65536	36741	3	{v=0}
-158136	适度从紧	65536	158130	3	{l=9}
-158137	报喜	65536	25253	3	{v=5}
-158138	适得其	136688	181965	1	null
-158139	苦心经	115256	202482	1	null
-158140	衰朽	65536	34928	3	{v=0}
-158141	适得其反	65536	158138	3	{i=1}
-158142	衡水	127557	34913	2	{ns=0}
-158143	豁出	132764	35905	1	null
-158144	贼亮	65536	36156	3	{z=0}
-158145	适用性	65536	187486	3	{n=0}
-158146	茅房	65536	33541	3	{n=0}
-158147	适者生	134764	190267	1	null
-158148	适者生存	65536	158147	3	{l=1}
-158149	强硬	82854	24378	2	{a=5, an=0}
-158150	适逢其	137902	194392	1	null
-158151	小便	83277	23567	2	{n=0, v=0}
-158152	适逢其会	65536	158150	3	{i=0}
-158153	胃壁	65536	32963	3	{n=0}
-158154	育种	65536	32946	3	{v=5, vn=7}
-158155	适配器	65536	194691	3	{n=0}
-158156	贼人	65536	36156	3	{n=0}
-158157	适销对	121824	195638	1	null
-158158	腥红	65536	33125	3	{b=0}
-158159	适销对路	65536	158157	3	{l=5}
-158160	逃之夭	135335	180809	1	null
-158161	试验地	65536	214335	3	{n=2}
-158162	曲径	84885	26354	2	{n=0}
-158163	花粉管	65536	218643	3	{n=0}
-158164	逃之夭夭	65536	158160	3	{i=0}
-158165	逃亡者	65536	180895	3	{n=0}
-158166	逆函数	65536	189252	3	{n=0}
-158167	逆反心理	65536	158172	3	{n=2}
-158168	浓缩	108756	27987	2	{v=3, vn=4}
-158169	每周	65536	27599	3	{r=19, t=0}
-158170	条施	65536	26465	3	{n=0}
-158171	试验场	65536	214335	3	{n=0}
-158172	逆反心	128465	189716	1	null
-158173	成型	65536	25104	3	{v=3, vn=1}
-158174	巴西	87504	24052	2	{ns=37}
-158175	逆变换	65536	189727	3	{v=0}
-158176	芦淞	65536	33446	3	{nz=0}
-158177	蚕子	65536	34453	3	{n=0}
-158178	母国	65536	27597	3	{n=1}
-158179	秦淮	112808	31206	1	null
-158180	育秧	65536	32946	3	{v=0, vn=3}
-158181	歌声	65536	27468	3	{n=27}
-158182	逆命题	65536	189892	3	{n=0}
-158183	逆定理	65536	191713	3	{n=0}
-158184	桑麻	65536	26705	3	{n=2, nz=1}
-158185	逆时针	65536	194365	3	{b=0, d=0}
-158186	逆来顺	136724	194732	1	null
-158187	逆来顺受	65536	158186	3	{i=0}
-158188	逆水行	124879	195963	1	null
-158189	股分	65536	32929	3	{n=0}
-158190	逆水行舟	65536	158188	3	{i=0}
-158191	睡相	65536	30561	3	{n=0}
-158192	潜能	65536	28508	3	{n=3}
-158193	逆温层	65536	196464	3	{n=0}
-158194	排放	79515	25490	2	{v=11, vn=6}
-158195	逆耳忠	122875	201082	1	null
-158196	整组	65536	25972	3	{v=1, vn=0}
-158197	边境线	65536	194510	3	{n=0}
-158198	小修	65536	23567	3	{v=0, vn=1}
-158199	筛骨	65536	31579	3	{n=0}
-158200	百花齐	111510	195210	1	null
-158201	粤西	65536	31908	3	{ns=1}
-158202	指法	65536	25351	3	{n=0}
-158203	逆耳忠言	65536	158195	3	{i=0}
-158204	逆运算	65536	205079	3	{n=0}
-158205	选优淘	137051	206746	1	null
-158206	选优淘劣	65536	158205	3	{l=1}
-158207	红小豆	65536	202157	3	{n=0}
-158208	联合社	65536	197495	3	{n=0}
-158209	选修课	65536	206960	3	{n=1}
-158210	拉制	65536	25289	3	{n=0, v=1}
-158211	选士学	65536	209261	3	{n=1}
-158212	选委会	65536	209494	3	{j=0}
-158213	年猪	65536	24180	3	{n=0}
-158214	选拔赛	65536	211798	3	{n=0}
-158215	触动	65536	35302	3	{v=3, vn=2}
-158216	选择性	65536	211819	3	{n=0}
-158217	登月	103516	30331	2	{vn=1}
-158218	强碱	65536	24378	3	{n=0}
-158219	薪水	65536	34218	3	{n=0}
-158220	选民权	65536	214163	3	{n=0}
-158221	逍遥	130367	36877	2	{a=0, ad=0}
-158222	蛇岛	65536	34503	3	{n=0}
-158223	逊克	65536	36874	3	{nz=0}
-158224	股利	65536	32929	3	{n=0}
-158225	战兢	93408	25112	1	null
-158226	逍遥法外	65536	158228	3	{i=0}
-158227	选举年	65536	206528	3	{n=1}
-158228	逍遥法	135420	158221	1	null
-158229	获得	125248	33719	2	{v=267, vn=0}
-158230	狼狈	114463	29436	2	{ad=1, an=0}
-158231	睡眠	108571	30561	2	{v=0, vn=0}
-158232	迟到	125038	36831	2	{v=3, vn=1}
-158233	格萨	101117	26684	1	null
-158234	菩萨	125446	33769	2	{n=2}
-158235	说不得	65536	200578	3	{v=0}
-158236	耐受	65536	32784	3	{v=1, vn=0}
-158237	接待	95395	25509	2	{v=30, vn=17}
-158238	逍遥自在	65536	163625	3	{i=0}
-158239	蛋白石	65536	165519	3	{n=0}
-158240	蛾眉	65536	34558	3	{n=0}
-158241	计划单	131875	170367	1	null
-158242	辅佐	65536	36741	3	{v=0}
-158243	透不过	130576	179175	1	null
-158244	透不过气	65536	158243	3	{l=0}
-158245	狼狗	65536	29436	3	{n=0}
-158246	战具	65536	25112	3	{n=0}
-158247	透亮性	65536	179336	3	{n=1}
-158248	透光性	65536	180003	3	{n=0}
-158249	推心	84430	25512	1	null
-158250	编译语	109220	207830	1	null
-158251	螺丝母	65536	152891	3	{n=0}
-158252	透射比	65536	182750	3	{n=0}
-158253	轴套	65536	36724	3	{n=0}
-158254	蚕宝	127563	34453	1	null
-158255	天生	80669	22825	2	{b=0, d=1, v=0}
-158256	透平机	65536	183373	3	{n=0}
-158257	融智	65536	34701	3	{v=0}
-158258	山火	65536	23665	3	{n=0}
-158259	透析机	65536	185706	3	{n=1}
-158260	透河井	65536	187021	3	{n=0}
-158261	失魂	67159	22833	1	null
-158262	迂回	65536	36802	3	{v=0, vn=1}
-158263	睡着	65536	30561	3	{v=3}
-158264	透热疗	130405	188103	1	null
-158265	贫困乡	65536	170251	3	{n=5}
-158266	透热疗法	65536	158264	3	{l=0}
-158267	登机	115374	30331	2	{v=6, vn=1}
-158268	透明体	65536	185320	3	{n=1}
-158269	荒山秃	125744	181730	1	null
-158270	透视图	65536	194464	3	{n=0}
-158271	蝴蝶结	65536	151293	3	{n=0}
-158272	逆反性	65536	189716	3	{n=0}
-158273	羞明	65536	32670	3	{n=0}
-158274	巴解	76102	24052	2	{j=5}
-158275	透视缩影	65536	168553	3	{l=0}
-158276	着实	65536	30528	3	{a=1, d=7}
-158277	天电	65536	22825	3	{n=0}
-158278	整编	65536	25972	3	{v=0, vn=0}
-158279	物归	112313	29289	1	null
-158280	见风是	113829	218523	1	null
-158281	逐字逐	136805	186560	1	null
-158282	逐字逐句	65536	158281	3	{l=0}
-158283	逐客令	65536	186635	3	{n=0}
-158284	逐村逐	133143	189626	1	null
-158285	稀泥	65536	31232	3	{n=0}
-158286	逐村逐户	65536	158284	3	{l=1}
-158287	逐鹿中	136884	203752	1	null
-158288	裸机	65536	35064	3	{n=2}
-158289	学长	65536	23398	3	{n=0}
-158290	当涂	89497	24403	1	null
-158291	逐鹿中原	65536	158287	3	{i=0}
-158292	资产负	134392	187152	1	null
-158293	递减性	65536	165522	3	{n=0}
-158294	递增率	65536	167265	3	{n=0}
-158295	递眼色	65536	175103	3	{l=0}
-158296	成堆	65536	25104	3	{v=2}
-158297	排斥	65536	25490	3	{v=3, vn=0}
-158298	逗逗乐	138253	181360	1	null
-158299	总成	80284	24635	2	{n=0}
-158300	膏粱	124059	33167	2	{n=0}
-158301	逗逗乐乐	65536	158298	3	{l=1}
-158302	抽血	65536	25277	3	{v=0}
-158303	战冰	91421	25112	1	null
-158304	逗闷子	65536	182864	3	{v=0}
-158305	挂羊	93471	25346	1	null
-158306	年率	65536	24180	3	{n=3}
-158307	指派	65536	25351	3	{v=3}
-158308	战况	65536	25112	3	{n=0}
-158309	通产相	65536	212723	3	{n=1}
-158310	砂枪	65536	30722	3	{n=1}
-158311	拉力	93676	25289	2	{n=0}
-158312	歌女	65536	27468	3	{n=0}
-158313	途中	65536	36884	3	{n=0, s=16}
-158314	急脉	80081	24613	1	null
-158315	布鼓	70169	24067	1	null
-158316	通什市	65536	212748	3	{ns=1}
-158317	通今博	136853	212758	1	null
-158318	通产省	65536	212723	3	{nt=3}
-158319	平服	65536	24179	3	{a=0}
-158320	芒硝	65536	33426	3	{n=0}
-158321	耕翻	65536	32789	3	{v=0}
-158322	盐业	65536	30416	3	{n=1}
-158323	蜜丸	127813	34588	1	null
-158324	拉动	94643	25289	2	{v=9, vn=2}
-158325	山炮	65536	23665	3	{n=0}
-158326	平朔	65536	24179	3	{ns=0}
-158327	朝拜	65536	26397	3	{v=2, vn=0}
-158328	稻瘟	110816	31291	1	null
-158329	通今博古	65536	158317	3	{i=0}
-158330	通便剂	65536	213003	3	{n=0}
-158331	读者部	65536	173362	3	{n=0}
-158332	通信卫星	65536	160217	3	{n=3}
-158333	逍遥派	65536	158221	3	{n=0}
-158334	行政村	65536	212167	3	{n=9}
-158335	小偷	83165	23567	2	{n=1}
-158336	通信地址	65536	161182	3	{n=0}
-158337	猎获	65536	29454	3	{v=0}
-158338	总户	86808	24635	1	null
-158339	林地	65536	26519	3	{n=1}
-158340	定计	65536	23450	3	{v=0}
-158341	旧有	65536	26087	3	{b=0}
-158342	通俗化	65536	213027	3	{v=0, vn=0}
-158343	通力合	138028	213735	1	null
-158344	通力合作	65536	158343	3	{i=5}
-158345	稍逊	101755	31245	1	null
-158346	通勤车	65536	213808	3	{n=0}
-158347	通化市	65536	213858	3	{ns=0}
-158348	通古斯	65536	214064	3	{n=0}
-158349	林场	65536	26519	3	{n=2}
-158350	耕耘	65536	32789	3	{v=7, vn=3}
-158351	篮球队	65536	152012	3	{n=3}
-158352	政权	65536	25919	3	{n=66}
-158353	表面波	65536	215968	3	{n=0}
-158354	连接器	65536	212624	3	{n=0}
-158355	航运界	65536	179355	3	{n=3}
-158356	羽毛球队	65536	154896	3	{n=1}
-158357	通奸罪	65536	215492	3	{n=0}
-158358	缴获	65536	32564	3	{v=5, vn=1}
-158359	讳言	65536	35763	3	{v=1}
-158360	通存通	137545	215972	1	null
-158361	躬逢	135463	36524	2	{v=1}
-158362	通存通兑	65536	158360	3	{l=2}
-158363	蛮横	125052	34542	2	{a=0, an=0}
-158364	谆谆教	130456	153996	1	null
-158365	定论	65536	23450	3	{n=0}
-158366	棉红	90489	26825	1	null
-158367	通宵达	132283	216065	1	null
-158368	棉纤	92578	26825	1	null
-158369	通宵达旦	65536	158367	3	{i=2}
-158370	通山县	65536	216253	3	{ns=0}
-158371	绝大部	123095	194433	1	null
-158372	通州区	65536	216618	3	{ns=0}
-158373	通常国	138124	216708	1	null
-158374	通常国会	65536	158373	3	{n=1}
-158375	秘籍	65536	31192	3	{n=0}
-158376	晚钟	65536	26202	3	{n=0}
-158377	葡萄球	116488	158026	1	null
-158378	舱盖	65536	33329	3	{n=0}
-158379	转弯抹	121204	215465	1	null
-158380	通心粉	65536	217103	3	{n=0}
-158381	棉纱	86896	26825	2	{n=3}
-158382	轰响	65536	36720	3	{n=0, v=0}
-158383	战刀	65536	25112	3	{n=0}
-158384	荷枪	126183	33655	1	null
-158385	航天站	65536	165364	3	{n=0}
-158386	茂盛	65536	33538	3	{a=2, nr=1}
-158387	通情达	128690	217361	1	null
-158388	组织生	115627	172048	1	null
-158389	糟鱼	65536	31967	3	{n=0}
-158390	棉纺	105093	26825	2	{b=6, n=0}
-158391	贪污腐	133366	183542	1	null
-158392	通情达理	65536	158387	3	{i=2}
-158393	资本家	65536	193429	3	{n=3}
-158394	瞒骗	65536	30610	3	{v=0}
-158395	棉线	65536	26825	3	{n=0}
-158396	绽裂	65536	32509	3	{v=0}
-158397	通报会	65536	217841	3	{n=3}
-158398	通权达	136935	219023	1	null
-158399	通权达变	65536	158398	3	{i=0}
-158400	学问	65536	23398	3	{n=8}
-158401	天疱	70578	22825	1	null
-158402	通榆县	65536	219602	3	{ns=1}
-158403	棉织	103726	26825	1	null
-158404	计划司	65536	170367	3	{n=1}
-158405	薯类	65536	34223	3	{n=0}
-158406	战列	80948	25112	1	null
-158407	通气孔	65536	220256	3	{n=0}
-158408	通电话	65536	222593	3	{v=1, vn=0}
-158409	资本密	116341	193429	1	null
-158410	大田	80211	22823	2	{n=1}
-158411	通缉令	65536	225109	3	{n=0}
-158412	狼獾	65536	29436	3	{n=0}
-158413	旧村	65536	26087	3	{ns=0}
-158414	棉绒	65536	26825	3	{n=0}
-158415	通知书	65536	223281	3	{n=8}
-158416	定语	65536	23450	3	{n=0}
-158417	肩窝	65536	32937	3	{n=0}
-158418	学阀	65536	23398	3	{n=0}
-158419	通用化	65536	222580	3	{v=0}
-158420	通胀率	65536	225548	3	{j=7, n=0}
-158421	研究馆	117600	150607	1	null
-158422	家规	65536	23478	3	{n=0}
-158423	缓建	65536	32531	3	{v=2}
-158424	战利	92581	25112	1	null
-158425	祁阳	118527	31041	2	{ns=0}
-158426	急腹	82463	24613	1	null
-158427	通脱木	65536	225661	3	{n=0}
-158428	跌势	65536	36300	3	{n=3}
-158429	要不是	65536	195866	3	{c=3}
-158430	确认	65536	30830	3	{v=15, vn=7}
-158431	通行证	65536	227480	3	{n=1}
-158432	平松	65536	24179	3	{nr=0}
-158433	平板	89048	24179	2	{a=0, n=3}
-158434	翘辫	121880	32728	1	null
-158435	通解通	122655	227887	1	null
-158436	数米	85788	25968	1	null
-158437	通解通识	126753	158435	1	null
-158438	定调	82055	23450	2	{v=0}
-158439	教主	65536	25945	3	{n=0}
-158440	通解通识篇	65536	158437	3	{n=1}
-158441	汇款	106459	27719	2	{n=5, v=0, vn=0}
-158442	通讯卫星	65536	160264	3	{n=0}
-158443	通话费	65536	228393	3	{n=3}
-158444	管乐队	65536	188162	3	{n=0}
-158445	盐井	65536	30416	3	{n=0}
-158446	继父	65536	32487	3	{n=0}
-158447	小僧	86582	23567	1	null
-158448	通货膨	130378	228723	1	null
-158449	记事簿	65536	188204	3	{n=8}
-158450	通货膨涨	65536	158448	3	{l=0}
-158451	砂样	65536	30722	3	{n=0}
-158452	裁定	131820	35009	2	{n=0, v=2, vn=2}
-158453	教义	65536	25945	3	{n=3}
-158454	物态	65536	29289	3	{n=0}
-158455	迪恩	122967	36842	1	null
-158456	滑翔	111158	28369	2	{nz=0, v=4}
-158457	言情片	65536	191251	3	{n=0}
-158458	练市	65536	32451	3	{ns=2}
-158459	确证	65536	30830	3	{n=0, v=0, vn=0}
-158460	战前	65536	25112	3	{t=0}
-158461	贸工	133892	36152	2	{j=3}
-158462	平果	87812	24179	2	{ns=0}
-158463	大略	65536	22823	3	{d=0, n=0}
-158464	舒眉	124518	33298	1	null
-158465	通货膨胀率	65536	163338	3	{n=20}
-158466	通辽市	65536	229385	3	{ns=0}
-158467	穿凿	102799	31359	1	null
-158468	确诊	65536	30830	3	{v=6, vn=0}
-158469	通过率	65536	229395	3	{n=3}
-158470	贻害	128748	36155	2	{v=1}
-158471	获悉	65536	33719	3	{v=45}
-158472	通都大	121464	229705	1	null
-158473	通都大邑	65536	158472	3	{i=0}
-158474	演艺	109496	28436	2	{n=3}
-158475	通配符	65536	229785	3	{n=0}
-158476	蓄热	65536	33988	3	{v=0}
-158477	通风报信	65536	163614	3	{i=1}
-158478	通风井	65536	231706	3	{n=0}
-158479	暴病	65536	26292	3	{n=0}
-158480	引见	65536	24341	3	{v=0}
-158481	政柄	65536	25919	3	{n=0}
-158482	教书	97041	25945	2	{v=2, vn=1}
-158483	肌纤	113859	32908	1	null
-158484	肩章	65536	32937	3	{n=0}
-158485	荡涤	65536	33633	3	{v=1}
-158486	营养片	65536	169568	3	{n=0}
-158487	苟活	65536	33503	3	{v=0}
-158488	逝世者	65536	158493	3	{n=1}
-158489	逛荡	65536	36891	3	{v=0}
-158490	报国	90987	25253	2	{v=2, vn=0}
-158491	逞威风	65536	160583	3	{l=0}
-158492	物性	65536	29289	3	{n=0}
-158493	逝世	125715	36893	2	{v=34, vn=2}
-158494	逞性子	65536	162157	3	{v=0}
-158495	外钞	65536	22806	3	{n=1}
-158496	舅舅	65536	33285	3	{n=1}
-158497	逞英雄	65536	171063	3	{l=0}
-158498	速决战	65536	165871	3	{n=0}
-158499	挂职	90417	25346	2	{v=5, vd=1, vn=2}
-158500	速冻机	65536	165879	3	{n=0}
-158501	熟年	65536	29087	3	{n=0}
-158502	速度表	65536	169186	3	{n=0}
-158503	好转	65536	22909	3	{v=25, vn=7}
-158504	跑跑颠	116704	201298	1	null
-158505	触及	65536	35302	3	{v=8}
-158506	速录机	65536	169361	3	{n=0}
-158507	速成班	65536	170060	3	{n=0}
-158508	组织疗	115732	172048	1	null
-158509	速战速	137596	170068	1	null
-158510	蜘蛛网	65536	151180	3	{n=0}
-158511	速战速决	65536	158509	3	{i=0}
-158512	触发	130549	35302	2	{v=2}
-158513	综合语	65536	146010	3	{n=0}
-158514	断炊	65536	26029	3	{v=0}
-158515	详明	65536	35814	3	{a=0}
-158516	学院	65536	23398	3	{n=105}
-158517	速效肥	132509	170884	1	null
-158518	速效肥料	65536	158517	3	{l=0}
-158519	总括	65536	24635	3	{v=0}
-158520	速溶性	65536	173298	3	{n=0}
-158521	系词	65536	31995	3	{n=0}
-158522	潜艇	65536	28508	3	{n=12}
-158523	速滑赛	65536	173325	3	{n=1}
-158524	逞凶	65536	36894	3	{v=0}
-158525	速记员	65536	180716	3	{n=0}
-158526	穿刺	114858	31359	2	{v=0}
-158527	速食店	65536	184091	3	{n=0}
-158528	狗皮	101016	29399	1	null
-158529	臆说	65536	33222	3	{n=0}
-158530	造假者	65536	192492	3	{n=2}
-158531	造反派	65536	193394	3	{n=0}
-158532	造型艺	132118	194352	1	null
-158533	造型艺术	65536	158532	3	{l=0}
-158534	造山运	137376	195606	1	null
-158535	小儿	75552	23567	2	{n=0}
-158536	造山运动	65536	158534	3	{l=0}
-158537	造影剂	65536	196374	3	{n=1}
-158538	波束	65536	27874	3	{n=0}
-158539	贯家	132151	36143	1	null
-158540	小兄	82393	23567	1	null
-158541	造物主	65536	201230	3	{n=1}
-158542	战功	65536	25112	3	{n=1}
-158543	引言	65536	24341	3	{n=0}
-158544	小先	76762	23567	1	null
-158545	窃钩	109981	31363	1	null
-158546	总指	87403	24635	1	null
-158547	造福一	132507	203060	1	null
-158548	造福一方	65536	158547	3	{i=2}
-158549	老相识	65536	215897	3	{n=0}
-158550	造船业	65536	205278	3	{n=0}
-158551	造血型	65536	206821	3	{b=2}
-158552	造谣中	138295	207816	1	null
-158553	推想	65536	25512	3	{v=0}
-158554	辐射力	65536	156868	3	{n=4}
-158555	造谣中伤	65536	158552	3	{i=0}
-158556	财政性	65536	191201	3	{n=2}
-158557	曲意	98928	26354	1	null
-158558	缓征	65536	32531	3	{v=0}
-158559	造谣惑众	65536	163324	3	{i=0}
-158560	造谣生事	65536	168522	3	{i=0}
-158561	断点	65536	26029	3	{n=0}
-158562	造陆运	137404	210411	1	null
-158563	造纸业	65536	204381	3	{n=0}
-158564	造陆运动	65536	158562	3	{l=0}
-158565	逢凶	137296	36898	1	null
-158566	逢凶化	137054	158565	1	null
-158567	逢凶化吉	65536	158566	3	{i=1}
-158568	逢场作	133468	159913	1	null
-158569	葵花	130113	33909	2	{n=0}
-158570	科学院	65536	186696	3	{n=71}
-158571	逢场作戏	65536	158568	3	{i=0}
-158572	逢年过	125163	161763	1	null
-158573	逢年过节	65536	158572	3	{l=8}
-158574	普罗	98652	26222	1	null
-158575	逮捕	138396	36910	2	{v=39, vn=4}
-158576	逶迤	65536	36918	3	{z=1}
-158577	累次	65536	32047	3	{d=0}
-158578	逻辑	138130	36923	2	{n=5}
-158579	逻辑思维	65536	162735	3	{l=0}
-158580	逻辑推理	65536	163642	3	{n=0}
-158581	逻辑设计	65536	173904	3	{n=0}
-158582	极目	101673	26497	1	null
-158583	逼上梁	134920	159064	1	null
-158584	滑联	65536	28369	3	{j=0}
-158585	逼上梁山	65536	158583	3	{i=0}
-158586	赋存	65536	36171	3	{v=0}
-158587	成天	65536	25104	3	{d=0}
-158588	逸乐	65536	36920	3	{n=0}
-158589	逼供信	65536	159465	3	{l=0}
-158590	条条	101242	26465	2	{n=0, q=2}
-158591	逼真度	65536	169581	3	{n=0}
-158592	逮捕令	65536	158575	3	{n=0}
-158593	外销	65536	22806	3	{v=1, vn=2}
-158594	好过	65536	22909	3	{a=0, v=0}
-158595	逼良为	135496	172477	1	null
-158596	逼良为娼	65536	158595	3	{l=1}
-158597	逾期	65536	36926	3	{v=4, vn=1}
-158598	相对高	113986	195313	1	null
-158599	遁入	127246	36929	2	{v=0}
-158600	遁入空	120225	158599	1	null
-158601	遁入空门	65536	158600	3	{i=0}
-158602	遂宁市	65536	159899	3	{ns=0}
-158603	好运	65536	22909	3	{n=9}
-158604	遂平县	65536	160653	3	{ns=0}
-158605	费尔法	133995	168329	1	null
-158606	天百	65536	22825	3	{nz=0}
-158607	遂心如	133761	160989	1	null
-158608	遂心如意	65536	158607	3	{i=0}
-158609	西柏坡村	65536	152220	3	{ns=0}
-158610	换脑	85131	25442	1	null
-158611	战勤	65536	25112	3	{n=0}
-158612	小册	83371	23567	1	null
-158613	超低空	65536	203917	3	{s=1}
-158614	遂昌县	65536	162598	3	{ns=0}
-158615	天皇	65536	22825	3	{n=1}
-158616	遇害者	65536	162803	3	{n=1}
-158617	遍体鳞	138359	158642	1	null
-158618	外错	65632	22806	1	null
-158619	遍体鳞伤	65536	158617	3	{i=0}
-158620	招认	65536	25307	3	{v=0}
-158621	系谱	119327	31995	2	{n=0}
-158622	投缘	65536	25237	3	{a=0}
-158623	遍地开	125178	160655	1	null
-158624	糊里	110722	31946	1	null
-158625	小写	65536	23567	3	{n=0}
-158626	足球报	65536	169350	3	{n=0}
-158627	秃顶	65536	31171	3	{v=0}
-158628	小农	74288	23567	2	{n=14}
-158629	跪坐	65536	36330	3	{v=0}
-158630	赴宴	65536	36212	3	{v=1}
-158631	身残志坚	65536	156244	3	{i=0}
-158632	豁口	65536	35905	3	{n=0}
-158633	成套	84544	25104	2	{b=9, d=0}
-158634	浅红	65536	27973	3	{b=0}
-158635	遍地开花	65536	158623	3	{i=2, l=0}
-158636	遐迩闻	137122	170882	1	null
-158637	连续光	121843	219608	1	null
-158638	缝衣	106552	32541	1	null
-158639	遐迩闻名	65536	158636	3	{i=0}
-158640	缝补	65536	32541	3	{v=0, vn=0}
-158641	目地	65536	30446	3	{n=1}
-158642	遍体	118459	36941	1	null
-158643	整肃	65536	25972	3	{v=2}
-158644	遏制	65536	36943	3	{v=33, vn=7}
-158645	遒劲	65536	36946	3	{a=4, an=0, z=0}
-158646	遐思	65536	36944	3	{v=1, vn=0}
-158647	逸事	65536	36920	3	{n=0}
-158648	蒸发皿	65536	151034	3	{n=0}
-158649	纲要	65536	32434	3	{n=16}
-158650	提审	65536	25552	3	{v=0, vn=0}
-158651	湖畔	65536	28246	3	{n=1, s=0}
-158652	道不拾	121704	204380	1	null
-158653	近似商	65536	198786	3	{n=0}
-158654	敌强	93102	25932	1	null
-158655	道不拾遗	65536	158652	3	{i=0}
-158656	臭名远	122792	151654	1	null
-158657	道听途	122831	205947	1	null
-158658	旧框	93872	26087	1	null
-158659	道听途说	65536	158657	3	{i=0}
-158660	旧案	65536	26087	3	{n=0}
-158661	道外区	65536	207205	3	{ns=1}
-158662	教会	65536	25945	3	{n=3, v=2}
-158663	道学家	65536	207797	3	{n=0}
-158664	腋窝	65536	33099	3	{n=0}
-158665	道德法庭	65536	165257	3	{n=0}
-158666	道德化	65536	208902	3	{v=0}
-158667	累死	110954	32047	2	{v=0}
-158668	进水塔	65536	212923	3	{n=0}
-158669	道教徒	65536	210344	3	{n=0}
-158670	逻辑值	65536	158578	3	{n=0}
-158671	淡竹	65536	28129	3	{n=0}
-158672	拉各	89762	25289	1	null
-158673	舌咽	117009	33292	1	null
-158674	监外	65536	30417	3	{j=0}
-158675	泰铢	65536	27888	3	{n=31, q=0}
-158676	拉合	92228	25289	1	null
-158677	道林纸	65536	210918	3	{n=0}
-158678	科利马	65536	184331	3	{nz=0}
-158679	道格拉	132649	211083	1	null
-158680	道格拉斯	65536	158679	3	{n=0}
-158681	洗头	96074	27927	1	null
-158682	拉后	82653	25289	1	null
-158683	道福特	65536	215518	3	{n=0}
-158684	道貌岸	129705	220379	1	null
-158685	购买户	65536	163788	3	{n=1}
-158686	断然	65536	26029	3	{b=1, d=1}
-158687	道貌岸然	65536	158684	3	{i=0}
-158688	芒种	65536	33426	3	{t=0}
-158689	聘约	65536	32856	3	{n=0}
-158690	进出境	65536	206209	3	{j=4}
-158691	道路以	128253	220734	1	null
-158692	苯环	65536	33519	3	{n=0}
-158693	美术纸	65536	197359	3	{n=0}
-158694	救险	79865	25937	2	{v=0, vn=1}
-158695	蛇年	65536	34503	3	{t=0}
-158696	肘腋	65536	32920	3	{n=0}
-158697	战区	65536	25112	3	{n=1}
-158698	治税	65536	27835	3	{v=5, vn=0}
-158699	道路以目	65536	158691	3	{i=0}
-158700	道里区	65536	221723	3	{ns=1}
-158701	道高一	135095	224039	1	null
-158702	贤士	65536	36132	3	{n=0}
-158703	安纳	80531	23433	1	null
-158704	转向灯	65536	212619	3	{n=2}
-158705	道高一尺	65536	158701	3	{i=0}
-158706	转换开	135644	216540	1	null
-158707	好逸	77291	22909	1	null
-158708	遗产地	65536	209962	3	{n=0}
-158709	遗传工程	65536	159575	3	{n=3}
-158710	疲顿	65536	30130	3	{a=0}
-158711	遗传物质	65536	164827	3	{n=1}
-158712	遗忘症	65536	214363	3	{n=0}
-158713	辐射区	65536	156868	3	{s=1}
-158714	遗腹子	65536	222972	3	{n=0}
-158715	遗臭万	134545	223088	1	null
-158716	端正	65536	31471	3	{a=1, an=0, v=10}
-158717	晚间	65536	26202	3	{t=3}
-158718	天目	72375	22825	2	{ns=0}
-158719	教体	95323	25945	1	null
-158720	外长	65536	22806	3	{n=145}
-158721	母夜	105153	27597	1	null
-158722	缓急	65536	32531	3	{n=0}
-158723	遗弃物	65536	214150	3	{n=1}
-158724	稀溜	112509	31232	1	null
-158725	遗臭万年	65536	158715	3	{i=1}
-158726	定责	65536	23450	3	{v=0, vn=2}
-158727	浅绿	96251	27973	2	{b=1}
-158728	小刀	65536	23567	3	{n=1}
-158729	班禅	95970	29677	2	{n=1}
-158730	定货	84099	23450	2	{v=0, vn=0}
-158731	遛弯	65536	36955	3	{v=0}
-158732	母大	92193	27597	1	null
-158733	遣散费	65536	158759	3	{n=0}
-158734	小分	68323	23567	1	null
-158735	网球赛	65536	194328	3	{n=4}
-158736	定购	85218	23450	2	{v=2, vn=1}
-158737	自主经	113695	206187	1	null
-158738	神经科	65536	206548	3	{n=0}
-158739	支炉	65536	25903	3	{n=0}
-158740	常驻	77747	24120	2	{v=17, vn=1}
-158741	遣词用	137268	168593	1	null
-158742	年画	65536	24180	3	{n=10}
-158743	大白	77369	22823	1	null
-158744	大百	68999	22823	1	null
-158745	遣词用句	65536	158741	3	{i=0}
-158746	遥控器	65536	162845	3	{n=0}
-158747	杀身	103256	26432	1	null
-158748	普者	80831	26222	1	null
-158749	社会民	119896	151774	1	null
-158750	遥相呼	134539	167790	1	null
-158751	遥相呼应	65536	158750	3	{i=1}
-158752	遥遥无期	65536	158757	3	{i=0}
-158753	解放军	127980	204500	2	{n=166}
-158754	根部	65536	26681	3	{n=1}
-158755	耸肩	65536	32824	3	{v=0}
-158756	记叙文	65536	189562	3	{n=0}
-158757	遥遥无	132353	174299	1	null
-158758	轴子	65536	36724	3	{n=0}
-158759	遣散	122580	36963	2	{v=3, vn=1}
-158760	环城	98456	29615	2	{n=0, nz=0, v=0, vn=0}
-158761	遥遥相对	65536	163133	3	{i=0}
-158762	遥遥领先	65536	171723	3	{l=0}
-158763	惊醒	65536	24778	3	{v=2}
-158764	遨游	65536	36968	3	{v=4}
-158765	赤霉菌	65536	214043	3	{n=0}
-158766	遭遇战	65536	175368	3	{n=1}
-158767	天真	74626	22825	2	{a=4, an=0}
-158768	遮天盖	136450	162765	1	null
-158769	资金户	65536	204346	3	{n=2}
-158770	遮天盖地	65536	158768	3	{i=0}
-158771	遮天蔽日	65536	162455	3	{i=1}
-158772	遮眼法	65536	170464	3	{n=0}
-158773	遮羞布	65536	172610	3	{n=0}
-158774	遮遮掩	133262	176914	1	null
-158775	遮遮掩掩	65536	158774	3	{v=0}
-158776	小到	86744	23567	1	null
-158777	遮风挡	120152	179058	1	null
-158778	纽襻	65536	32445	3	{n=0}
-158779	救难	84960	25937	2	{v=1}
-158780	绵白	112381	32501	1	null
-158781	遮阳伞	65536	178391	3	{n=1}
-158782	遮光板	65536	160749	3	{n=0}
-158783	筹融	105849	31609	1	null
-158784	遮风挡雨	65536	158777	3	{l=1}
-158785	遴选	65536	36980	3	{v=3, vn=0}
-158786	躯壳	65536	36527	3	{n=0}
-158787	支点	65536	25903	3	{n=8}
-158788	肇事罪	65536	146538	3	{n=4}
-158789	歌子	65536	27468	3	{n=0}
-158790	急若	84650	24613	1	null
-158791	腹地	65536	33145	3	{n=7}
-158792	总揽	65536	24635	3	{v=3}
-158793	识文	127245	35782	1	null
-158794	遵义市	65536	162522	3	{ns=1}
-158795	遵化市	65536	163751	3	{ns=1}
-158796	遵守交	123529	165913	1	null
-158797	遵守交规	129224	158796	1	null
-158798	猛禽	65536	29467	3	{n=0}
-158799	遵守交规率	65536	158797	3	{n=1}
-158800	遵章守	126375	173937	1	null
-158801	遵章守纪	65536	158800	3	{l=1}
-158802	遵纪守	130945	174907	1	null
-158803	治穷	65536	27835	3	{v=0}
-158804	情诗	65536	24773	3	{n=0}
-158805	小前	81214	23567	1	null
-158806	遵纪守法	133664	158802	2	{l=6}
-158807	遵纪守法户	65536	158806	3	{n=1}
-158808	母女	65536	27597	3	{n=3}
-158809	虾池	65536	34430	3	{n=0}
-158810	情话	65536	24773	3	{n=2}
-158811	舰种	65536	33328	3	{n=0}
-158812	遵纪爱民	65536	164603	3	{l=0}
-158813	过氧化物	65536	157204	3	{n=0}
-158814	排枪	65536	25490	3	{n=0}
-158815	遽然	65536	36989	3	{d=0}
-158816	注销	65536	27880	3	{v=2, vn=0}
-158817	连续函	131765	219608	1	null
-158818	腾空	114618	33150	2	{v=1}
-158819	避实击虚	65536	158822	3	{i=0}
-158820	避实就虚	65536	161436	3	{i=0}
-158821	条案	65536	26465	3	{n=0}
-158822	避实击	124425	166917	1	null
-158823	粤语	65536	31908	3	{nz=0}
-158824	避弹坑	65536	167840	3	{n=0}
-158825	条桌	65536	26465	3	{n=0}
-158826	大盐	65536	22823	3	{n=0}
-158827	碱集	113654	30897	1	null
-158828	避暑药	65536	169720	3	{n=0}
-158829	避而不	122982	176243	1	null
-158830	避而不谈	65536	158829	3	{i=0}
-158831	小剧	84439	23567	1	null
-158832	大盖	76067	22823	1	null
-158833	避蚊剂	65536	177905	3	{n=0}
-158834	大盘	65536	22823	3	{n=6}
-158835	避重就	122107	180788	1	null
-158836	牧犬	65536	29287	3	{n=0}
-158837	外间	65536	22806	3	{n=0}
-158838	避重就轻	65536	158835	3	{i=0}
-158839	避难就易	65536	158877	3	{i=0}
-158840	蛙泳	65536	34521	3	{n=0, vn=6}
-158841	避雷器	65536	182110	3	{n=1}
-158842	战友	89509	25112	2	{n=23}
-158843	避风港	65536	182581	3	{n=0}
-158844	炮眼	65536	28846	3	{n=0}
-158845	硫黄	115767	30827	1	null
-158846	萌生	65536	33804	3	{v=3}
-158847	糊涂账	65536	149334	3	{n=1}
-158848	情调	65536	24773	3	{n=5}
-158849	蓬户	120565	34028	1	null
-158850	敌忾	96698	25932	1	null
-158851	迂夫	133755	36802	1	null
-158852	萧瑟	65536	33831	3	{z=0}
-158853	板房	96058	26495	1	null
-158854	房钱	65536	25151	3	{n=0}
-158855	情谊	65536	24773	3	{n=9}
-158856	通信业	65536	213037	3	{n=1}
-158857	投考	65536	25237	3	{v=0}
-158858	论说文	65536	190444	3	{n=0}
-158859	袋泡	118192	34955	1	null
-158860	遐想	65536	36944	3	{v=1, vn=1}
-158861	急茬	65536	24613	3	{n=0}
-158862	手册	65536	25163	3	{n=5}
-158863	越狱罪	65536	183852	3	{n=0}
-158864	邀功请	122690	158894	1	null
-158865	邀功请赏	65536	158864	3	{i=0}
-158866	大相	75741	22823	1	null
-158867	约略	65536	32422	3	{d=0}
-158868	广袤	83558	24191	2	{a=5, b=0, z=1}
-158869	渔场	65536	28180	3	{n=1}
-158870	次货	65536	27425	3	{n=0}
-158871	邂逅	128422	36994	2	{v=0}
-158872	脓肿	65536	33043	3	{n=0}
-158873	排查	65536	25490	3	{v=0}
-158874	次贫	65536	27425	3	{n=0}
-158875	手写	94143	25163	1	null
-158876	树冠	65536	26641	3	{n=0}
-158877	避难就	132708	182053	1	null
-158878	邂逅相	121984	158871	1	null
-158879	滑腻	65536	28369	3	{a=0}
-158880	邀请书	65536	173574	3	{n=0}
-158881	战史	65536	25112	3	{n=0}
-158882	邂逅相逢	65536	158878	3	{i=0}
-158883	解放初	65536	204500	3	{t=3}
-158884	贷款	134616	36151	2	{n=153, v=20, vn=64}
-158885	巴豆	65536	24052	3	{n=0}
-158886	邃远	65536	36995	3	{a=1}
-158887	杂七	96876	26434	1	null
-158888	邈远	65536	37000	3	{a=2}
-158889	歌宴	65536	27468	3	{n=0}
-158890	安置	65536	23433	3	{v=57, vn=16}
-158891	每场	65536	27599	3	{r=5}
-158892	成婚	65536	25104	3	{v=2}
-158893	邋遢	65536	37003	3	{a=0}
-158894	邀功	123033	36992	2	{v=1}
-158895	荡漾	65536	33633	3	{v=5}
-158896	小动	86459	23567	1	null
-158897	推手	65536	25512	3	{n=0}
-158898	虾油	65536	34430	3	{n=0}
-158899	家计	65536	23478	3	{n=0}
-158900	邋里邋	121939	159255	1	null
-158901	邋里邋遢	65536	158900	3	{z=0}
-158902	邓小平	129204	158921	2	{nr=158}
-158903	通讯业	65536	228347	3	{n=1}
-158904	识时	132125	35782	1	null
-158905	对虾	65536	23545	3	{n=0}
-158906	邓小平理	123137	158902	1	null
-158907	邓小平理论	65536	158906	3	{n=239}
-158908	邓屯乡	65536	159017	3	{ns=0}
-158909	战后	65536	25112	3	{t=22}
-158910	推托	65536	25512	3	{v=1}
-158911	家训	65536	23478	3	{n=0}
-158912	邓州市	65536	159384	3	{ns=0}
-158913	罗布麻	65536	194374	3	{n=0}
-158914	脉络	65536	33033	3	{n=3}
-158915	邕宁县	65536	159872	3	{ns=0}
-158916	邗江	137479	37015	2	{ns=0}
-158917	树凉	103597	26641	1	null
-158918	邗江县	65536	158916	3	{ns=0}
-158919	邛崃	134856	37019	2	{ns=1}
-158920	每块	65536	27599	3	{r=2}
-158921	邓小	134723	37011	1	null
-158922	邛崃市	65536	158919	3	{ns=0}
-158923	连续剧	65536	219608	3	{n=10}
-158924	那不勒	132897	196197	1	null
-158925	邕城	65536	37013	3	{ns=0}
-158926	邢东	65536	37026	3	{ns=0}
-158927	轴对	125438	36724	1	null
-158928	那不勒斯	65536	158924	3	{ns=0}
-158929	家访	65536	23478	3	{v=0, vn=0}
-158930	赃款	65536	36163	3	{n=10}
-158931	解放前	65536	204500	3	{t=3}
-158932	邢台县	65536	160418	3	{ns=0}
-158933	蛇形	65536	34503	3	{n=0}
-158934	大眼	65678	22823	1	null
-158935	袖标	65536	34966	3	{n=0}
-158936	遗传学	65536	210083	3	{n=0}
-158937	那么点儿	65536	167712	3	{r=0}
-158938	朝政	65536	26397	3	{n=0}
-158939	那会儿	65536	196466	3	{r=1}
-158940	那口子	65536	197691	3	{r=0}
-158941	环境	102167	29615	2	{n=426}
-158942	竞赛	65536	31454	3	{n=1, v=7, vn=24}
-158943	肇事者	65536	146538	3	{n=0}
-158944	那曲镇	65536	202570	3	{ns=0}
-158945	那波里	65536	204090	3	{ns=0}
-158946	祖孙	65536	31062	3	{n=3}
-158947	接手	65536	25509	3	{v=1}
-158948	那达慕	65536	213014	3	{n=0}
-158949	虽然	65536	34429	3	{c=176}
-158950	曲折	65536	26354	3	{a=13, ad=0, an=3}
-158951	腥膻	65536	33125	3	{a=0}
-158952	胎教	65536	32974	3	{n=0}
-158953	螺旋	131054	34746	2	{n=4}
-158954	那阵子	65536	214669	3	{t=1}
-158955	板报	65536	26495	3	{n=0}
-158956	汇流	65536	27719	3	{v=0}
-158957	第三道	105447	141883	1	null
-158958	那霸市	65536	214928	3	{ns=2}
-158959	珍贵	110341	29645	2	{a=26, an=1}
-158960	邦政府	65536	164778	3	{n=0}
-158961	邪门儿	65536	177692	3	{a=0}
-158962	山猫	65536	23665	3	{n=1}
-158963	竞走	65536	31454	3	{vn=0}
-158964	自变量	65536	207624	3	{n=0}
-158965	天知	65643	22825	1	null
-158966	腥臊	65536	33125	3	{a=0}
-158967	织造	122328	32455	2	{v=0, vn=1}
-158968	肌肉	65536	32908	3	{n=1}
-158969	邪门歪道	65536	165660	3	{l=1}
-158970	邮政编码	65536	167897	3	{n=2}
-158971	女高	65563	22899	1	null
-158972	狼疮	65536	29436	3	{n=0}
-158973	移花	115283	31227	1	null
-158974	襟章	65536	35167	3	{n=0}
-158975	邮购部	65536	212357	3	{n=0}
-158976	邮递员	65536	213098	3	{n=2}
-158977	训斥	65536	35757	3	{v=0, vn=0}
-158978	那么些	65536	196256	3	{r=0}
-158979	邮政局	65536	202135	3	{n=4}
-158980	瘦骨	112811	30246	1	null
-158981	邮电业	65536	206221	3	{n=5}
-158982	邯郸学步	65536	160959	3	{i=0}
-158983	邯郸	137561	37039	2	{ns=7}
-158984	邱北县	65536	159067	3	{ns=2}
-158985	早泄	65536	26089	3	{v=0}
-158986	邱吉尔	65536	159309	3	{nr=0}
-158987	邳州市	65536	158998	3	{ns=1}
-158988	耍嘴	115407	32781	1	null
-158989	终南	120062	32456	1	null
-158990	邵东	137554	37045	1	null
-158991	邦交	65536	37030	3	{n=8}
-158992	引证	65536	24341	3	{v=0}
-158993	邵东县	65536	158990	3	{ns=0}
-158994	芥菜	124360	33445	2	{n=0}
-158995	肌肤	65536	32908	3	{n=0}
-158996	聊聊	65536	32842	3	{v=0}
-158997	杂乱	97233	26434	2	{a=1}
-158998	邳州	134921	37043	2	{ns=1}
-158999	邵阳县	65536	177445	3	{ns=0}
-159000	邯郸县	65536	158983	3	{ns=2}
-159001	腥臭	65536	33125	3	{a=1, an=0}
-159002	招财	79248	25307	1	null
-159003	邹城市	65536	159032	3	{ns=3}
-159004	招贤	83643	25307	2	{v=1}
-159005	浅耕	65536	27973	3	{vn=0}
-159006	避孕套	65536	166844	3	{n=3}
-159007	西双版	119702	210052	1	null
-159008	祖宗	65536	31062	3	{n=0}
-159009	胞胎	65536	32990	3	{n=0}
-159010	浓艳	65536	27987	3	{a=0}
-159011	移苗	65536	31227	3	{v=0}
-159012	实际	85607	23454	2	{a=153, ad=25, an=0, n=222}
-159013	晚霜	65536	26202	3	{n=0}
-159014	干法	65536	24178	3	{n=0}
-159015	晚霞	65536	26202	3	{n=2}
-159016	邹家华	65536	160032	3	{nr=32}
-159017	邓屯	138843	37011	1	null
-159018	报复	95506	25253	2	{v=3, vn=2}
-159019	玻璃钢	65536	143711	3	{n=1}
-159020	招贴	86070	25307	2	{n=0}
-159021	老干部	65536	209619	3	{n=0}
-159022	脱颖而	126241	211131	1	null
-159023	杂事	65536	26434	3	{n=0}
-159024	菱花	65536	33777	3	{nz=0}
-159025	臭烘	119114	33261	1	null
-159026	手到	88641	25163	1	null
-159027	蜂刺	65536	34562	3	{n=0}
-159028	瘦高	65536	30246	3	{z=0}
-159029	数组	65536	25968	3	{n=0}
-159030	邹平县	65536	160733	3	{ns=1}
-159031	郁郁不乐	65536	159072	3	{i=0}
-159032	邹城	134937	37049	2	{ns=2}
-159033	郁郁寡欢	65536	162612	3	{i=0}
-159034	熟悉	65536	29087	3	{a=3, v=48, vn=1}
-159035	战和	65536	25112	3	{v=0}
-159036	引语	65536	24341	3	{n=0}
-159037	接报	65536	25509	3	{v=1}
-159038	郁郁苍苍	65536	172576	3	{z=0}
-159039	缓慢	65536	32531	3	{a=22, ad=10, an=1}
-159040	引诱	65536	24341	3	{v=1, vn=0}
-159041	裤料	65536	35044	3	{n=0}
-159042	小区	65536	23567	3	{n=35}
-159043	家谱	65536	23478	3	{n=0}
-159044	郁郁葱葱	65536	172996	3	{i=4, z=0}
-159045	郁金香	65536	175586	3	{n=1}
-159046	郊区县	65536	159094	3	{n=0}
-159047	社会活	118780	151774	1	null
-159048	杂交	92210	26434	2	{v=2, vn=8}
-159049	敌情	65536	25932	3	{n=0}
-159050	郎才女	123073	164241	1	null
-159051	滚蛋	65536	28378	3	{v=0}
-159052	眉来	107819	30473	1	null
-159053	郎才女貌	65536	159050	3	{l=0}
-159054	报失	65536	25253	3	{v=0}
-159055	郎溪县	65536	167406	3	{ns=0}
-159056	招赘	65536	25307	3	{v=0}
-159057	报头	65536	25253	3	{n=0}
-159058	小半	65536	23567	3	{m=0}
-159059	郑家庄	132620	159063	1	null
-159060	投胎	65536	25237	3	{v=0}
-159061	芋艿	65536	33419	3	{n=0}
-159062	报夹	65536	25253	3	{n=0}
-159063	郑家	134863	37073	1	null
-159064	逼上	131830	36924	1	null
-159065	母婴	65536	27597	3	{n=1}
-159066	小卒	65536	23567	3	{n=0}
-159067	邱北	137545	37041	2	{ns=1}
-159068	舆论	118044	33286	2	{n=94}
-159069	郑家庄村	65536	159059	3	{ns=0}
-159070	小卖	69685	23567	2	{n=0}
-159071	平槽	65536	24179	3	{v=0}
-159072	郁郁不	138983	175314	1	null
-159073	郑州市	65536	159615	3	{ns=22}
-159074	小博	84019	23567	1	null
-159075	郑重其	138969	172910	1	null
-159076	郑重其事	65536	159075	3	{i=1}
-159077	推拿	65536	25512	3	{v=0, vn=0}
-159078	超高层	65536	223255	3	{b=0}
-159079	苯甲	111875	33519	1	null
-159080	干洗	84871	24178	2	{v=0}
-159081	维修费	65536	182914	3	{n=1}
-159082	迪拜	65536	36842	3	{ns=0}
-159083	郓城	137645	37075	1	null
-159084	郓城县	65536	159083	3	{ns=0}
-159085	褶皱	65536	35126	3	{n=0}
-159086	郡主	65536	37089	3	{n=0}
-159087	广西	79187	24191	2	{ns=76}
-159088	星毛	86648	26143	1	null
-159089	郎中	65536	37070	3	{n=2}
-159090	蟹黄	65536	34809	3	{n=0}
-159091	报奖	65536	25253	3	{v=0}
-159092	郡县制	65536	160498	3	{n=1}
-159093	财政所	65536	191201	3	{n=1}
-159094	郊区	137607	37066	2	{s=17}
-159095	运用裕	134418	191367	1	null
-159096	部党组	65536	178918	3	{n=2}
-159097	部委局	65536	181088	3	{j=0}
-159098	总支	91800	24635	2	{j=1}
-159099	辅助	120688	36741	2	{v=3, vd=0, vn=11}
-159100	郧县	65536	37095	3	{ns=0}
-159101	衬映	65536	34924	3	{v=0}
-159102	当炮	82154	24403	1	null
-159103	部手机	65536	183255	3	{n=1}
-159104	朝日	65536	26397	3	{n=3, nz=2}
-159105	总收	91954	24635	1	null
-159106	港股	65536	28207	3	{j=1, n=0}
-159107	部长会议	65536	159108	3	{n=10}
-159108	部长会	123349	196363	1	null
-159109	郫县	65536	37099	3	{ns=0}
-159110	总攻	65536	24635	3	{v=0, vn=0}
-159111	郭庄镇	65536	159118	3	{ns=0}
-159112	挂花	65536	25346	3	{v=0}
-159113	郭沫若	65536	162741	3	{nr=5}
-159114	总政	84957	24635	2	{j=13}
-159115	累活	65536	32047	3	{n=2}
-159116	干活	88296	24178	2	{v=7}
-159117	大石	70937	22823	2	{ns=0}
-159118	郭庄	120896	37101	1	null
-159119	郴县	65536	37108	3	{ns=0}
-159120	赵州	128590	36213	1	null
-159121	郴州市	65536	161710	3	{ns=1}
-159122	干流	65536	24178	3	{n=2}
-159123	敌意	65536	25932	3	{n=1}
-159124	山珍	79769	23665	2	{n=1}
-159125	郸城	65536	37112	3	{ns=0}
-159126	狂乱	65536	29378	3	{a=0}
-159127	都庞岭	65536	164196	3	{ns=0}
-159128	都柏林	65536	166549	3	{ns=0}
-159129	芽眼	65536	33469	3	{n=0}
-159130	终古	123739	32456	1	null
-159131	甜枣	65536	29980	3	{n=0}
-159132	都江堰	65536	167717	3	{ns=3}
-159133	解放北	116287	204500	1	null
-159134	都镇湾	120923	178189	1	null
-159135	类毒	110307	31867	1	null
-159136	学风	65536	23398	3	{n=6}
-159137	类比	117729	31867	2	{v=0}
-159138	都镇湾镇	65536	159134	3	{ns=5}
-159139	鄂伦春	138989	160086	1	null
-159140	总教	89959	24635	1	null
-159141	情质	65536	24773	3	{n=1}
-159142	聊胜	125912	32842	1	null
-159143	鄂伦春人	65536	159139	3	{n=0}
-159144	鄂尔多	133116	163396	1	null
-159145	都市人	65536	164040	3	{n=4}
-159146	手动	65536	25163	3	{b=1}
-159147	鄂尔多斯	65536	159144	3	{ns=0, nz=2}
-159148	鄂州市	65536	163854	3	{ns=1}
-159149	换茬	65536	25442	3	{v=0}
-159150	鄂托克	65536	165000	3	{ns=0}
-159151	鄂温克	133089	168025	1	null
-159152	鄂温克族	65536	159151	3	{nz=1}
-159153	鄂豫皖	65536	175771	3	{j=0}
-159154	鄄城	137718	37124	1	null
-159155	外露	65536	22806	3	{v=0, vn=0}
-159156	手劲	65536	25163	3	{n=0}
-159157	鄄城县	65536	159154	3	{ns=1}
-159158	小厮	65536	23567	3	{n=0}
-159159	稻神	65536	31291	3	{n=0}
-159160	芥蒂	65536	33445	3	{n=1}
-159161	排椅	65536	25490	3	{n=2}
-159162	鄞县	65536	37150	3	{ns=0}
-159163	总数	65536	24635	3	{n=55}
-159164	鄢陵	137733	37154	1	null
-159165	房门	65536	25151	3	{n=2}
-159166	辉光	128058	36745	1	null
-159167	港胞	65536	28207	3	{n=0}
-159168	解放区	65536	204500	3	{n=4, s=1}
-159169	手势	78642	25163	2	{n=5}
-159170	广角	71419	24191	2	{b=0}
-159171	腐烂	65536	33104	3	{v=5, vn=2}
-159172	鄢陵县	65536	159164	3	{ns=2}
-159173	鄯善	65536	37167	3	{ns=0}
-159174	鄱阳	130929	37169	1	null
-159175	鄱阳湖	129140	159174	2	{ns=1}
-159176	鄱阳湖畔	65536	159175	3	{ns=0, s=2}
-159177	房间	65536	25151	3	{n=7}
-159178	粘贴	65536	31896	3	{v=1}
-159179	酉阳	137741	37193	2	{ns=0}
-159180	酉阳县	65536	159179	3	{ns=0}
-159181	酋长国	65536	173632	3	{n=2}
-159182	祖居	65536	31062	3	{n=1}
-159183	酋崎	65536	37195	3	{nr=0}
-159184	标的	65536	26631	3	{n=3}
-159185	天磁	65536	22825	3	{nz=0}
-159186	酌减	65536	37196	3	{v=0}
-159187	配图量	65536	206598	3	{n=1}
-159188	配套化	65536	207199	3	{v=2}
-159189	社民	119129	31038	1	null
-159190	配料表	65536	210337	3	{n=0}
-159191	配画诗	65536	214339	3	{n=0}
-159192	配种站	65536	215509	3	{n=0}
-159193	训练有	120985	165407	1	null
-159194	干涉	88894	24178	2	{n=0, v=15, vn=6}
-159195	配给品	65536	216801	3	{n=0}
-159196	小叔	83407	23567	1	null
-159197	村上	65536	26449	3	{n=1, nr=0, s=0}
-159198	指点	65536	25351	3	{v=6, vn=2}
-159199	狂人	65536	29378	3	{n=1}
-159200	肌腱	65536	32908	3	{n=0}
-159201	开业	65536	24320	3	{v=21, vn=0}
-159202	运销商	65536	199519	3	{n=2}
-159203	外面	78426	22806	2	{f=20, s=0}
-159204	读书报	65536	160659	3	{n=1}
-159205	浓茶	65536	27987	3	{n=0}
-159206	此役	65536	27492	3	{r=3}
-159207	配额制	65536	223397	3	{n=0}
-159208	臭熏	118933	33261	1	null
-159209	混饭	109125	28151	2	{vn=0}
-159210	酒吧间	65536	209967	3	{n=1}
-159211	小口	82332	23567	1	null
-159212	纵横谈	65536	173415	3	{n=0}
-159213	继电	122111	32487	1	null
-159214	纳斯	106630	32435	1	null
-159215	配电盘	65536	214333	3	{n=0}
-159216	换药	65536	25442	3	{v=0}
-159217	朝晖	65536	26397	3	{n=1}
-159218	繁丽	65536	32321	3	{a=0}
-159219	输送机	65536	188472	3	{n=0}
-159220	酒囊饭	124267	210642	1	null
-159221	谨慎	65536	35880	3	{a=15, ad=0, an=0}
-159222	酒囊饭袋	134894	159220	2	{i=0}
-159223	小可	82185	23567	1	null
-159224	干涧	82649	24178	2	{ns=0}
-159225	豁嘴	65536	35905	3	{n=0}
-159226	干涩	65536	24178	3	{a=0}
-159227	郊县	65536	37066	3	{n=3, ns=0}
-159228	碰钉	116268	30896	1	null
-159229	酒囊饭袋式	65536	159222	3	{b=1, n=0}
-159230	小叶	85998	23567	2	{n=0}
-159231	小号	65536	23567	3	{b=0, n=0}
-159232	谎报	65536	35854	3	{v=1}
-159233	淡紫	65536	28129	3	{b=1}
-159234	许昌	131709	35768	2	{ns=4}
-159235	邱县	65536	37041	3	{ns=24}
-159236	总方	74772	24635	1	null
-159237	退休金	65536	206845	3	{n=7}
-159238	当然	65536	24403	3	{b=1, c=0, d=98}
-159239	酒店业	65536	212639	3	{n=1}
-159240	成家	82687	25104	2	{v=2}
-159241	干涸	65536	24178	3	{v=7}
-159242	肾结	119897	32958	1	null
-159243	小吃	82585	23567	2	{n=2}
-159244	财产税	65536	185417	3	{n=0}
-159245	酒池肉	132728	216168	1	null
-159246	村主	103215	26449	1	null
-159247	酒池肉林	65536	159245	3	{i=0}
-159248	小合	84992	23567	1	null
-159249	酒渣鼻	65536	216619	3	{n=0}
-159250	酒石酸	65536	219131	3	{n=0}
-159251	芥蓝	114786	33445	1	null
-159252	焊钳	65536	28938	3	{n=0}
-159253	小名	83967	23567	2	{n=0}
-159254	酒糟鼻	65536	220391	3	{n=0}
-159255	邋里	121897	37003	1	null
-159256	绝对观	119543	195155	1	null
-159257	迁入	65536	36801	3	{v=10, vn=2}
-159258	浓荫	65536	27987	3	{n=1}
-159259	邀请信	65536	173574	3	{n=0}
-159260	酒绿灯	126848	220935	1	null
-159261	蝴蝶花	65536	151293	3	{n=0}
-159262	酒精灯	65536	220358	3	{n=0}
-159263	赴席	65536	36212	3	{v=0}
-159264	情趣	65536	24773	3	{n=12}
-159265	抽调	65536	25277	3	{v=14}
-159266	酒绿灯红	65536	159260	3	{i=0}
-159267	教具	65536	25945	3	{n=1}
-159268	联欢节	65536	203409	3	{n=1}
-159269	老一辈	65536	205409	3	{n=19}
-159270	稻种	65536	31291	3	{n=2}
-159271	教养	96735	25945	2	{n=0, v=1, vn=0}
-159272	缓手	65536	32531	3	{n=1, v=0}
-159273	赢得	65536	36194	3	{v=64}
-159274	稀烂	65536	31232	3	{z=0}
-159275	酒肉朋	137826	221329	1	null
-159276	辈子	65536	36744	3	{n=0, q=4}
-159277	酒肉朋友	65536	159275	3	{i=0}
-159278	环委	114547	29615	1	null
-159279	疯话	65536	30127	3	{n=0}
-159280	浑象	65536	27985	3	{n=0}
-159281	大碗	66609	22823	1	null
-159282	酒色财	131615	221818	1	null
-159283	酒色财气	65536	159282	3	{i=0}
-159284	家财	65536	23478	3	{n=1}
-159285	母子	105763	27597	2	{n=1}
-159286	萝卜花	65536	150004	3	{n=0}
-159287	家败	85677	23478	1	null
-159288	酒精炉	65536	220358	3	{n=0}
-159289	多难	78674	22810	1	null
-159290	酒芯糖	65536	221879	3	{n=0}
-159291	汇源	65536	27719	3	{nz=0}
-159292	轻车简	136593	219254	1	null
-159293	家贫	82919	23478	1	null
-159294	酒足饭	120014	224699	1	null
-159295	酒足饭饱	65536	159294	3	{i=2}
-159296	稻秧	65536	31291	3	{n=0}
-159297	酒逢知	135250	225322	1	null
-159298	薪火	65536	34218	3	{n=1}
-159299	酒逢知己	65536	159297	3	{i=0}
-159300	监守	104473	30417	2	{v=0}
-159301	试验室	65536	214335	3	{n=0}
-159302	酒酣耳	130394	225643	1	null
-159303	酒酣耳热	65536	159302	3	{i=0}
-159304	星河	98198	26143	2	{n=2, nz=0}
-159305	迫不	136430	36843	1	null
-159306	遇上	65536	36935	3	{v=1}
-159307	翠鸟	65536	32736	3	{n=1}
-159308	酒食征	122431	227559	1	null
-159309	邱吉	135414	37041	1	null
-159310	家贼	65536	23478	3	{n=0}
-159311	酒食征逐	65536	159308	3	{i=0}
-159312	酗酒	65536	37207	3	{v=3, vn=0}
-159313	酚醛塑	133306	159377	1	null
-159314	改种	65536	25913	3	{v=0}
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-159316	酚酞	65536	37210	3	{n=0}
-159317	永泰	65536	27704	3	{nz=0}
-159318	焦作	112826	28966	2	{ns=4}
-159319	物换	107595	29289	1	null
-159320	开云	74850	24320	1	null
-159321	践诺	65536	36341	3	{v=1}
-159322	酚醛树脂	65536	163345	3	{n=0}
-159323	洪福	88613	27946	2	{n=0}
-159324	置若	112356	32622	1	null
-159325	酝酿	65536	37213	3	{v=8, vn=1}
-159326	盐分	65536	30416	3	{n=0}
-159327	速度计	65536	169186	3	{n=0}
-159328	酣畅淋	130894	164599	1	null
-159329	酣畅淋漓	65536	159328	3	{i=1}
-159330	酩酊	136509	37225	1	null
-159331	酥油花	65536	160516	3	{n=0}
-159332	酩酊大	122078	159330	1	null
-159333	苦口良	115407	199442	1	null
-159334	秘而	120596	31192	1	null
-159335	酩酊大醉	65536	159332	3	{i=0}
-159336	村井	65536	26449	3	{nr=0}
-159337	酱油瓶	65536	166053	3	{n=0}
-159338	总星	80803	24635	1	null
-159339	酱豆腐	65536	174130	3	{n=0}
-159340	酱黄瓜	65536	178864	3	{n=0}
-159341	天祝	65536	22825	3	{ns=3}
-159342	天神	65536	22825	3	{n=0}
-159343	肝病	65536	32925	3	{n=0}
-159344	酪素	65536	37226	3	{n=0}
-159345	干渠	65536	24178	3	{n=0}
-159346	手印	65536	25163	3	{n=0}
-159347	酵母	125610	37237	2	{n=0}
-159348	碰锁	65536	30896	3	{n=0}
-159349	改称	65536	25913	3	{v=3}
-159350	酵母菌	65536	159347	3	{n=0}
-159351	酸中毒	65536	196650	3	{n=0}
-159352	豆腐干	65536	191174	3	{n=0}
-159353	贾楼	134838	36158	1	null
-159354	总是	65536	24635	3	{d=79, v=2}
-159355	酸处理	65536	199425	3	{n=0}
-159356	酸式盐	65536	200972	3	{n=0}
-159357	酸性岩	65536	201252	3	{n=0}
-159358	褐矮	125899	35088	1	null
-159359	抽象	95554	25277	2	{a=11, ad=0, an=0, v=0, vn=1}
-159360	酸文假	122111	202628	1	null
-159361	约翰逊	65536	161566	3	{nz=0}
-159362	焊锡	65536	28938	3	{n=0}
-159363	成就	89261	25104	2	{n=132, v=4, vn=0}
-159364	薪炭	124178	34218	1	null
-159365	干渴	65536	24178	3	{a=2}
-159366	渔夫	65536	28180	3	{n=0}
-159367	笋鸡	65536	31499	3	{n=0}
-159368	计算机	127778	180996	2	{n=75}
-159369	眉梢	65536	30473	3	{n=3}
-159370	酸文假醋	65536	159360	3	{i=0}
-159371	提干	65536	25552	3	{v=3}
-159372	枪身	65536	26538	3	{n=0}
-159373	酸枣树	65536	203168	3	{n=0}
-159374	科学馆	65536	186696	3	{n=0}
-159375	酸梅汤	65536	203394	3	{n=0}
-159376	天禀	65536	22825	3	{n=0}
-159377	酚醛	136704	37210	2	{n=0}
-159378	酸溜溜	65536	204953	3	{z=0}
-159379	引资	65536	24341	3	{j=0, n=0, v=2, vn=1}
-159380	解放后	65536	204500	3	{t=4}
-159381	敌我	87533	25932	2	{n=1}
-159382	酸牛奶	65536	205912	3	{n=0}
-159383	物探	65536	29289	3	{j=0, n=1}
-159384	邓州	134846	37011	2	{ns=1}
-159385	酸甜苦	122617	206617	1	null
-159386	每天	65536	27599	3	{r=119}
-159387	监察	116164	30417	2	{v=0, vn=21}
-159388	酸甜苦辣	65536	159385	3	{i=1}
-159389	酸碱度	65536	207534	3	{n=0}
-159390	肖形虎	65536	150105	3	{n=2}
-159391	窝赃	65536	31389	3	{v=0}
-159392	酸辣汤	65536	213408	3	{n=0}
-159393	酌办	65536	37196	3	{v=0}
-159394	酸黄瓜	65536	217281	3	{n=0}
-159395	林子	65536	26519	3	{n=2}
-159396	腊肉	65536	33098	3	{n=2}
-159397	酿母菌	65536	166294	3	{n=0}
-159398	透视学	65536	194464	3	{n=3}
-159399	荡然	123462	33633	1	null
-159400	朝服	65536	26397	3	{n=0}
-159401	酿酒业	65536	175899	3	{n=0}
-159402	醉生梦	131892	171561	1	null
-159403	绕过	65536	32469	3	{v=0}
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-159405	棉花	92118	26825	2	{n=29}
-159406	迁出	65536	36801	3	{v=2}
-159407	醉生梦死	65536	159402	3	{i=0}
-159408	稻穗	65536	31291	3	{n=0}
-159409	电子学	65536	192405	3	{n=1}
-159410	醉醺醺	65536	178884	3	{z=0}
-159411	永济	103645	27704	2	{nz=0}
-159412	小咬	65536	23567	3	{n=0}
-159413	醉马草	65536	181110	3	{n=0}
-159414	瓷都	65536	29943	3	{n=1}
-159415	醋劲	65536	37259	3	{n=0}
-159416	朝朝	96471	26397	1	null
-159417	林学	100526	26519	1	null
-159418	触类而	115796	168922	1	null
-159419	腊肠	65536	33098	3	{n=0}
-159420	月下	89235	26376	1	null
-159421	洗尘	65536	27927	3	{v=2}
-159422	开价	65536	24320	3	{v=2, vn=0}
-159423	汇演	65536	27719	3	{v=1, vn=9}
-159424	绕远	65536	32469	3	{v=0}
-159425	醋酸纤	126937	175485	1	null
-159426	潜藏	65536	28508	3	{v=0}
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-159428	改稿	65536	25913	3	{v=0, vn=0}
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-159430	引起	65536	24341	3	{v=210}
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-159432	每套	65536	27599	3	{r=2}
-159433	小品	80822	23567	2	{n=24}
-159434	迫于	65536	36843	3	{v=2}
-159435	着急	65536	30528	3	{a=7, ad=0}
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-159439	敌手	65536	25932	3	{n=0}
-159440	疏浚	65536	30095	3	{v=4, vn=0}
-159441	更衣	98435	26356	2	{v=2}
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-159443	醍醐灌顶	65536	159442	3	{i=0}
-159444	藤子	65536	34276	3	{n=0}
-159445	醪糟	65536	37290	3	{n=0}
-159446	大礼	78003	22823	1	null
-159447	晚风	65536	26202	3	{n=0}
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-159454	月中	65536	26376	3	{t=0}
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-159456	采油厂	65536	202903	3	{n=1}
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-159459	采煤机	65536	204098	3	{n=0}
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-159463	抗美	89777	25239	1	null
-159464	酥油茶	65536	160516	3	{n=0}
-159465	逼供	138140	36924	2	{v=1, vn=1}
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-159467	轩然	133596	36713	1	null
-159468	结束语	65536	198863	3	{n=4}
-159469	采茶戏	65536	208660	3	{n=0}
-159470	贫困化	65536	170251	3	{v=0, vn=0}
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-159473	遭到	65536	36973	3	{v=41}
-159474	树叶	65536	26641	3	{n=4}
-159475	酥梨	65536	37221	3	{n=0}
-159476	天秤	76479	22825	1	null
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-159480	采访团	65536	210845	3	{n=2}
-159481	酒酣耳熟	65536	159302	3	{i=0}
-159482	外项	65536	22806	3	{n=0}
-159483	酥油草	65536	160516	3	{n=0}
-159484	熟手	65536	29087	3	{n=0}
-159485	釉面砖	65536	175168	3	{n=0}
-159486	耗竭	65536	32791	3	{v=0}
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-159489	释迦牟	135878	179293	1	null
-159490	释迦牟尼	65536	159489	3	{n=0, nr=0}
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-159504	贯彻	65536	36143	3	{v=249, vn=18}
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-159519	膏腴	65536	33167	3	{n=0}
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-159528	绍兴酒	65536	144608	3	{n=1}
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-159532	板擦	65536	26495	3	{n=0}
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-159537	螺栓	65536	34746	3	{n=0}
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-159541	菌物	65536	33740	3	{n=0}
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-159550	引路	65536	24341	3	{v=2, vn=0}
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-159565	教务	95540	25945	2	{n=2}
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-159567	腽肭脐	65536	147381	3	{n=0}
-159568	重印本	65536	217046	3	{n=0}
-159569	进步奖	65536	212716	3	{n=4}
-159570	重复性	65536	218483	3	{b=0, n=1}
-159571	注音	105613	27880	2	{v=0}
-159572	蓄电	122661	33988	1	null
-159573	重头戏	65536	218522	3	{n=3}
-159574	臂膊	65536	33218	3	{n=0}
-159575	遗传工	127466	210083	1	null
-159576	大禾	65536	22823	3	{ns=2}
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-159578	疏淤	65536	30095	3	{v=1}
-159579	条款	65536	26465	3	{n=11}
-159580	重婚罪	65536	218816	3	{n=0}
-159581	重孙女	65536	219071	3	{n=0}
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-159583	月亮	90940	26376	2	{n=6, nz=0}
-159584	重富欺	123449	219186	1	null
-159585	滑落	65536	28369	3	{v=1}
-159586	羽绒	121219	32701	2	{n=0}
-159587	重力仪	65536	216833	3	{n=1}
-159588	重富欺贫	65536	159584	3	{l=0}
-159589	大秋	79887	22823	1	null
-159590	重峦叠	135653	219468	1	null
-159591	重峦叠嶂	65536	159590	3	{i=0}
-159592	郁南	65536	37057	3	{ns=1}
-159593	重工业	122503	219723	2	{n=6}
-159594	永清	106274	27704	2	{ns=2}
-159595	泰顺	65536	27888	3	{ns=1}
-159596	遭劫	65536	36973	3	{v=0}
-159597	臆造	65536	33222	3	{v=0}
-159598	多音	76144	22810	1	null
-159599	重工业部	65536	159593	3	{n=2}
-159600	脉膊	65536	33033	3	{n=0}
-159601	群众观	65536	180653	3	{n=0}
-159602	酬劳	65536	37228	3	{n=0, vn=0}
-159603	平民	87990	24179	2	{n=22}
-159604	重归于	136704	220088	1	null
-159605	重庆市	65536	219884	3	{ns=21}
-159606	晚饭	65536	26202	3	{n=5}
-159607	极端	65536	26497	3	{a=3, d=7, n=7}
-159608	淡红	65536	28129	3	{b=1}
-159609	站票	65536	31449	3	{n=0}
-159610	浅色	65536	27973	3	{n=0}
-159611	蛋彩	121064	34507	1	null
-159612	编辑部	65536	208790	3	{n=5}
-159613	重归于好	65536	159604	3	{i=0}
-159614	重打锣	118897	220857	1	null
-159615	郑州	135007	37073	2	{ns=43}
-159616	秦王	65536	31206	3	{n=0}
-159617	大秧	72738	22823	1	null
-159618	瓷釉	65536	29943	3	{n=0}
-159619	苏门达腊虎	65536	148936	3	{n=2}
-159620	重打锣鼓	138144	159614	1	null
-159621	总机	65536	24635	3	{n=0}
-159622	重打锣鼓另	135303	159620	1	null
-159623	重打锣鼓另开	135282	159622	1	null
-159624	逼债	65536	36924	3	{v=0}
-159625	天穹	65536	22825	3	{n=0}
-159626	天空	65536	22825	3	{n=33}
-159627	贬幅	65536	36140	3	{n=1}
-159628	竞选	65536	31454	3	{v=10, vn=5}
-159629	电子层	65536	192405	3	{n=0}
-159630	足下	125681	36275	2	{f=2, r=0, s=0}
-159631	猎装	65536	29454	3	{n=0}
-159632	足不	134680	36275	1	null
-159633	祖师	110735	31062	2	{n=0}
-159634	重打锣鼓另开张	65536	159623	3	{i=0}
-159635	竞逐	65536	31454	3	{v=0}
-159636	重振旗	118915	221077	1	null
-159637	月令	65536	26376	3	{n=0}
-159638	重振旗鼓	65536	159636	3	{i=0}
-159639	贫困县	65536	170251	3	{n=59}
-159640	重操旧	139650	221491	1	null
-159641	着想	65536	30528	3	{v=6}
-159642	对襟	65536	23545	3	{n=1}
-159643	赋役	65536	36171	3	{n=0}
-159644	重操旧业	65536	159640	3	{l=1}
-159645	胚胎	123348	32986	2	{n=6}
-159646	羽缎	65536	32701	3	{n=0}
-159647	重整旗	118926	221658	1	null
-159648	波段	65536	27874	3	{n=1}
-159649	重整旗鼓	65536	159647	3	{i=0}
-159650	晚香	91817	26202	1	null
-159651	赎当	65536	36174	3	{v=0}
-159652	重晶石	65536	221916	3	{n=0}
-159653	重机关	133116	222112	1	null
-159654	重机关枪	65536	159653	3	{l=0}
-159655	天窗	65536	22825	3	{n=1}
-159656	致信	65536	33268	3	{v=23}
-159657	醒悟	65536	37266	3	{v=1}
-159658	环子	65536	29615	3	{n=0}
-159659	重武器	65536	223180	3	{n=2}
-159660	战国	65536	25112	3	{n=0, nr=0, t=3}
-159661	抗联	65536	25239	3	{j=0}
-159662	月份	92751	26376	2	{n=0}
-159663	答词	65536	31572	3	{n=0}
-159664	重温旧	132878	223887	1	null
-159665	秀里	109192	31168	1	null
-159666	经不起	65536	190473	3	{v=2}
-159667	早潮	65536	26089	3	{n=0}
-159668	重温旧梦	65536	159664	3	{i=0}
-159669	着意	65536	30528	3	{d=4, v=1}
-159670	重特大	65536	224991	3	{j=0}
-159671	辽阳市	65536	183531	3	{ns=2}
-159672	重灾区	65536	224484	3	{n=21}
-159673	重瓣胃	65536	225609	3	{n=0}
-159674	茼蒿	65536	33596	3	{n=0}
-159675	迫使	65536	36843	3	{v=18}
-159676	盐卤	65536	30416	3	{n=0}
-159677	重生父	132083	225669	1	null
-159678	通知单	65536	223281	3	{n=0}
-159679	答话	65536	31572	3	{v=0}
-159680	重生父母	65536	159677	3	{l=0}
-159681	平江	87826	24179	2	{ns=1}
-159682	重甸甸	65536	225694	3	{z=0}
-159683	重要性	65536	230887	3	{n=44}
-159684	重见天	133600	230951	1	null
-159685	重见天日	65536	159684	3	{i=2}
-159686	重起炉	130897	231901	1	null
-159687	重起炉灶	65536	159686	3	{i=0}
-159688	普莱	100678	26222	1	null
-159689	重足而	128256	231961	1	null
-159690	酣战	65536	37219	3	{v=0}
-159691	重足而立	65536	159689	3	{i=0}
-159692	重蹈覆	122932	232110	1	null
-159693	重蹈覆辙	65536	159692	3	{i=2}
-159694	接收	94894	25509	2	{v=21, vn=8}
-159695	获救	65536	33719	3	{v=1}
-159696	计划处	65536	170367	3	{n=1}
-159697	重重叠	138230	233011	1	null
-159698	说明文	65536	206723	3	{n=0}
-159699	砂洗	117797	30722	1	null
-159700	招远	94643	25307	2	{ns=0}
-159701	淡绿	65536	28129	3	{b=0}
-159702	重重叠叠	65536	159697	3	{z=2}
-159703	狂傲	65536	29378	3	{a=0}
-159704	推敲	65536	25512	3	{v=2, vn=0}
-159705	开倒	73411	24320	1	null
-159706	重量级	65536	233013	3	{b=0}
-159707	小嗓	65536	23567	3	{n=0}
-159708	提心	95698	25552	1	null
-159709	断电	65536	26029	3	{v=2, vn=1}
-159710	重金属	65536	233015	3	{n=2}
-159711	战地	65536	25112	3	{n=1}
-159712	定都	65536	23450	3	{v=0}
-159713	重阳节	65536	234137	3	{t=0}
-159714	证券杯	65536	171186	3	{nz=2}
-159715	通信兵	65536	213037	3	{n=0}
-159716	野三关	121502	204613	1	null
-159717	野三关镇	65536	159716	3	{ns=0}
-159718	教区	65536	25945	3	{n=0}
-159719	经得起	65536	194963	3	{v=1}
-159720	野外工	139406	207442	1	null
-159721	战场	65536	25112	3	{n=10}
-159722	野外工作	65536	159720	3	{l=0}
-159723	练拳	65536	32451	3	{v=0}
-159724	野心勃勃	65536	159726	3	{i=0}
-159725	板斧	65536	26495	3	{n=0}
-159726	野心勃	138537	209151	1	null
-159727	送货员	65536	215879	3	{n=0}
-159728	野火烧	139754	213415	1	null
-159729	格言	65536	26684	3	{n=1}
-159730	着慌	65536	30528	3	{v=0}
-159731	野战军	65536	209748	3	{n=2}
-159732	多项	75196	22810	1	null
-159733	投药	65536	25237	3	{v=0}
-159734	贻患	128761	36155	1	null
-159735	野火烧不	136124	159728	1	null
-159736	肺气	113581	32954	1	null
-159737	野火烧不尽	65536	159735	3	{i=1, n=0}
-159738	心上	91522	24515	2	{s=17}
-159739	广谋	89487	24191	1	null
-159740	蔓生	123649	34067	1	null
-159741	心不	89365	24515	1	null
-159742	融汇	115172	34701	2	{v=0}
-159743	酿制	65536	37247	3	{v=1, vn=0}
-159744	醇和	65536	37255	3	{a=0}
-159745	对视	65536	23545	3	{v=1, vn=1}
-159746	砂浆	65536	30722	3	{n=0}
-159747	荷泽	65536	33655	3	{n=0}
-159748	答谢	105187	31572	2	{v=1, vn=0}
-159749	篾青	65536	31742	3	{n=0}
-159750	野牛草	65536	213911	3	{n=0}
-159751	野生虎	65536	214619	3	{n=5}
-159752	政治	102049	25919	2	{n=525}
-159753	天竹	65536	22825	3	{n=0}
-159754	天竺	66804	22825	2	{ns=0}
-159755	推斥	95911	25512	1	null
-159756	赝本	65536	36189	3	{n=0}
-159757	对角	74026	23545	2	{n=0}
-159758	野翅膀	65536	217345	3	{nz=0}
-159759	野菊花	65536	218374	3	{n=0}
-159760	野营拉	127315	218465	1	null
-159761	跃上	65536	36291	3	{v=1}
-159762	通讯兵	65536	228347	3	{n=0}
-159763	推断	65536	25512	3	{v=1, vn=2}
-159764	综观	65536	32508	3	{v=2}
-159765	平河	65536	24179	3	{ns=0}
-159766	野营拉练	65536	159760	3	{l=0}
-159767	年礼	65536	24180	3	{n=5}
-159768	肺水	113584	32954	1	null
-159769	报导	65536	25253	3	{n=0, v=0}
-159770	野葡萄	65536	218525	3	{n=0}
-159771	贡献率	65536	162320	3	{n=9}
-159772	野蔷薇	65536	218739	3	{n=0}
-159773	心中	85599	24515	2	{n=0, s=64}
-159774	平沼	65536	24179	3	{nr=0}
-159775	野豌豆	65536	220552	3	{n=0}
-159776	拉塔	93285	25289	1	null
-159777	辐条	65536	36752	3	{n=0}
-159778	政法	95098	25919	2	{j=12, n=0}
-159779	野鹤闲	139667	225184	1	null
-159780	野鹤闲云	65536	159779	3	{l=0}
-159781	星源	65536	26143	3	{nz=0}
-159782	敌探	65536	25932	3	{n=0}
-159783	量体裁	124869	176661	1	null
-159784	量体裁衣	65536	159783	3	{i=1}
-159785	遍及	65536	36941	3	{v=14}
-159786	量入为	138801	177191	1	null
-159787	量入为出	65536	159786	3	{i=2}
-159788	责令	65536	36131	3	{v=33}
-159789	量力而	139766	177501	1	null
-159790	釉子	65536	37321	3	{n=0}
-159791	舵轮	65536	33333	3	{n=0}
-159792	量力而为	65536	159789	3	{i=0}
-159793	量子力学	65536	159828	3	{l=0}
-159794	汗青	65536	27735	3	{n=0}
-159795	量子化学	65536	159951	3	{n=0}
-159796	辉县	132778	36745	1	null
-159797	苗圃	65536	33495	3	{n=1}
-159798	暗伤	65536	26263	3	{n=0}
-159799	邀请函	65536	173574	3	{n=2}
-159800	碑记	65536	30865	3	{n=0}
-159801	量子场论	65536	161011	3	{n=0}
-159802	量才录	129811	181519	1	null
-159803	量才录用	65536	159802	3	{i=0}
-159804	量角器	65536	191636	3	{n=0}
-159805	迪斯	134262	36842	1	null
-159806	片言	112055	29255	2	{n=0}
-159807	组件	65536	32452	3	{n=0}
-159808	经手费	65536	195655	3	{n=0}
-159809	诚信	65536	35802	3	{a=0, nz=1}
-159810	误事	65536	35823	3	{v=0}
-159811	责任	143641	36131	2	{b=0, n=231, vn=0}
-159812	站稳	65536	31449	3	{v=2}
-159813	精雕细镂	65536	142648	3	{i=1}
-159814	肾脏	65536	32958	3	{n=0}
-159815	访查	65536	35775	3	{v=0}
-159816	舌头	65536	33292	3	{n=1}
-159817	赋性	65536	36171	3	{n=0}
-159818	赤子情	65536	198754	3	{n=0}
-159819	房顶	65536	25151	3	{n=2}
-159820	鄂东	65536	37122	3	{ns=0}
-159821	金不换	65536	217039	3	{l=0}
-159822	金丝小枣	65536	159850	3	{n=0}
-159823	工矿	87980	24037	2	{b=2, j=0}
-159824	诽谤罪	65536	153901	3	{n=0}
-159825	甜橙	65536	29980	3	{n=0}
-159826	金乡县	65536	217123	3	{ns=0}
-159827	金像奖	65536	217745	3	{nz=0}
-159828	量子力	136395	179730	1	null
-159829	羽翅	65536	32701	3	{n=0}
-159830	金光闪	121456	217867	1	null
-159831	让座	65536	35753	3	{v=1, vn=0}
-159832	称为	65536	31216	3	{v=63}
-159833	跪射	65536	36330	3	{v=0}
-159834	金光闪闪	65536	159830	3	{i=0}
-159835	金兰之	136974	217906	1	null
-159836	通风口	65536	231706	3	{n=0}
-159837	茅棚	65536	33541	3	{n=0}
-159838	菊芋	65536	33738	3	{n=0}
-159839	金兰之契	65536	159835	3	{i=0}
-159840	金凤还巢	65536	175699	3	{i=0}
-159841	心乱	88768	24515	1	null
-159842	贩枪	65536	36137	3	{v=0, vn=3}
-159843	金刚努目	65536	159908	3	{i=0}
-159844	金口河	138541	218533	1	null
-159845	大立	73620	22823	1	null
-159846	金华县	65536	218384	3	{ns=1}
-159847	金口河区	65536	159844	3	{ns=2}
-159848	足以	65536	36275	3	{d=15}
-159849	称之	120724	31216	1	null
-159850	金丝小	133291	217055	1	null
-159851	金凤凰	65536	218022	3	{l=3}
-159852	总校	65536	24635	3	{n=0}
-159853	金口玉言	65536	161594	3	{i=0}
-159854	践踏	65536	36341	3	{v=1, vn=0}
-159855	金台西路	65536	159858	3	{ns=1}
-159856	小器	86499	23567	1	null
-159857	误人	130264	35823	1	null
-159858	金台西	123520	218546	1	null
-159859	大站	65536	22823	3	{n=1}
-159860	粘连	65536	31896	3	{v=1}
-159861	杂凑	65536	26434	3	{v=0}
-159862	自动线	65536	207320	3	{n=0}
-159863	教友	65536	25945	3	{n=0}
-159864	纹路	65536	32441	3	{n=0}
-159865	金合欢	126411	218570	2	{n=0}
-159866	浑身	103604	27985	2	{n=5}
-159867	心事	74364	24515	2	{n=3}
-159868	金合欢花	65536	159865	3	{n=1}
-159869	缩写	118175	32553	2	{n=3, vn=0}
-159870	金吾村	65536	218624	3	{ns=0}
-159871	金园区	65536	219311	3	{ns=0}
-159872	邕宁	137476	37013	2	{ns=0}
-159873	金圆券	65536	219336	3	{n=0}
-159874	玩笑	65536	29609	3	{n=5}
-159875	金坛市	65536	219421	3	{ns=2}
-159876	菊花	119195	33738	2	{n=5}
-159877	疏漏	65536	30095	3	{n=2}
-159878	标示	65536	26631	3	{v=0, vn=0}
-159879	平津	84156	24179	2	{j=0, ns=2}
-159880	排比	65536	25490	3	{n=0}
-159881	大端	65536	22823	3	{n=1}
-159882	结合部	65536	193912	3	{n=5}
-159883	政派	65536	25919	3	{n=0}
-159884	羽翼	117043	32701	2	{n=1}
-159885	自力霉	115547	207307	1	null
-159886	物料	65536	29289	3	{n=3}
-159887	金城川	65536	219536	3	{ns=0}
-159888	金城汤池	65536	163606	3	{i=0}
-159889	金大中	65536	219881	3	{nr=22}
-159890	炮筒	109184	28846	1	null
-159891	大竹	78773	22823	1	null
-159892	金字塔	135558	220441	2	{n=10}
-159893	金字塔式	65536	159892	3	{b=4}
-159894	金字招牌	65536	162587	3	{i=0}
-159895	艾绒	65536	33406	3	{n=0}
-159896	遭受	65536	36973	3	{v=58}
-159897	轴心	134388	36724	2	{n=0}
-159898	金家疃	133452	220536	1	null
-159899	遂宁	134536	36930	2	{n=0}
-159900	贼喊	129434	36156	1	null
-159901	金家疃村	65536	159898	3	{ns=0}
-159902	燕语	99564	29141	1	null
-159903	融注	65536	34701	3	{v=1}
-159904	计划委	65536	170367	3	{j=0}
-159905	监工	65536	30417	3	{n=0}
-159906	育肥	65536	32946	3	{v=0}
-159907	金寨县	65536	220586	3	{ns=2}
-159908	金刚努	129397	218076	1	null
-159909	金屋藏	136865	220685	1	null
-159910	山盟	79772	23665	1	null
-159911	谈笑风	124074	180561	1	null
-159912	金屋藏娇	65536	159909	3	{i=0}
-159913	逢场	138252	36898	1	null
-159914	袍笏	121452	34957	1	null
-159915	大笑	80235	22823	2	{v=2}
-159916	金属元	127897	220704	1	null
-159917	述宾	65536	36848	3	{b=0}
-159918	大笔	65536	22823	3	{n=3}
-159919	金小丑	65536	220625	3	{n=2}
-159920	让开	65536	35753	3	{v=0}
-159921	邯钢	65536	37039	3	{n=8, ns=0}
-159922	定量	84436	23450	2	{n=2, v=2, vd=0, vn=1}
-159923	缩减	65536	32553	3	{v=2, vn=0}
-159924	定金	65536	23450	3	{n=0}
-159925	遮丑	65536	36974	3	{v=0}
-159926	菊苣	65536	33738	3	{n=5}
-159927	罢职	65536	32610	3	{v=0}
-159928	绵竹	65536	32501	3	{ns=0}
-159929	金属元素	65536	159916	3	{l=0}
-159930	年租	72092	24180	1	null
-159931	金属探伤	65536	164619	3	{l=0}
-159932	金属陶瓷	65536	177631	3	{l=0}
-159933	当班	65536	24403	3	{v=2, vn=1}
-159934	造船厂	65536	205278	3	{n=5}
-159935	金戈铁	120405	222154	1	null
-159936	象声	118441	35937	1	null
-159937	金戈铁马	65536	159935	3	{i=0}
-159938	逝去	65536	36893	3	{v=3, vn=1}
-159939	荆芥	65536	33606	3	{n=0}
-159940	金斯敦	65536	223089	3	{n=0}
-159941	肺泡	65536	32954	3	{n=0}
-159942	成年	93974	25104	2	{b=0, n=2, vn=0}
-159943	金星奖	65536	223201	3	{n=1, nz=3}
-159944	排气	78446	25490	2	{v=0, vn=0}
-159945	抽身	65536	25277	3	{v=0}
-159946	金本位	138904	223470	2	{n=0}
-159947	造纸厂	65536	204381	3	{n=14}
-159948	稻米	65536	31291	3	{n=2}
-159949	波波	107526	27874	1	null
-159950	金本位制	65536	159946	3	{n=0}
-159951	量子化	136397	179730	1	null
-159952	蚕房	65536	34453	3	{n=0}
-159953	误会	65536	35823	3	{v=2, vn=1}
-159954	金枝玉	138464	223583	1	null
-159955	谁料	65536	35841	3	{v=0}
-159956	指环	65536	25351	3	{n=0}
-159957	碰面	65536	30896	3	{v=0}
-159958	金枝玉叶	65536	159954	3	{i=1}
-159959	误传	65536	35823	3	{v=0}
-159960	禽鸟	65536	31165	3	{n=1}
-159961	耍威	106674	32781	1	null
-159962	心仪	65536	24515	3	{v=1}
-159963	误伤	65536	35823	3	{v=1}
-159964	站立	65536	31449	3	{v=3}
-159965	金枪鱼	65536	223596	3	{n=0}
-159966	金桦果	65536	223784	3	{n=2}
-159967	金榜题	138452	224094	1	null
-159968	账册	65536	36134	3	{n=2}
-159969	金榜题名	65536	159967	3	{i=2}
-159970	金沙江	65536	224859	3	{ns=4}
-159971	小四	70099	23567	1	null
-159972	羽联	65536	32701	3	{j=0}
-159973	神经纤	107603	206548	1	null
-159974	金水桥	65536	224758	3	{ns=1}
-159975	金海湖	65536	225081	3	{ns=0}
-159976	排水	89062	25490	2	{v=0, vn=3}
-159977	鄙人	65536	37145	3	{r=0}
-159978	金湖县	65536	225304	3	{ns=1}
-159979	金溪县	65536	225388	3	{ns=1}
-159980	金灿灿	65536	225857	3	{z=2}
-159981	金煌煌	65536	226062	3	{z=0}
-159982	金牌榜	65536	226318	3	{n=3}
-159983	金牛座	65536	226333	3	{n=0}
-159984	终场	65536	32456	3	{n=2}
-159985	着手	65536	30528	3	{v=23, vd=0}
-159986	金犀牛	65536	226370	3	{n=0}
-159987	金玉之言	65536	159997	3	{i=0}
-159988	融洽	65536	34701	3	{a=1, ad=0, an=0, v=3, vn=1}
-159989	环岛	65536	29615	3	{n=1, nz=0}
-159990	探视	65536	25506	3	{v=2, vn=1}
-159991	谋杀罪	65536	172455	3	{n=0}
-159992	金玉满堂	65536	168339	3	{i=1}
-159993	聊以解	123943	146351	1	null
-159994	金玉良言	65536	173345	3	{i=0}
-159995	金环蛇	65536	226673	3	{n=0}
-159996	金珠玛	128140	226722	1	null
-159997	金玉之	124659	226635	1	null
-159998	早点	65536	26089	3	{d=2, n=0}
-159999	金珠玛米	65536	159996	3	{nz=0}
-160000	月偏	82885	26376	1	null
-160001	金瓯无	127438	226993	1	null
-160002	惊险	93444	24778	2	{a=7, an=2}
-160003	柳暗	90828	26611	1	null
-160004	教员	65536	25945	3	{n=4}
-160005	小国	65536	23567	3	{n=2}
-160006	穿堂	102913	31359	2	{n=0}
-160007	神经细	107115	206548	1	null
-160008	金瓯无缺	65536	160001	3	{i=0}
-160009	眉欢	107827	30473	1	null
-160010	开元	88816	24320	2	{nz=0}
-160011	杂剧	65536	26434	3	{n=1}
-160012	金瓶梅	65536	227000	3	{n=0, nz=0}
-160013	金盏花	65536	227473	3	{n=0}
-160014	金睛火	129495	227613	1	null
-160015	肩胛	106914	32937	2	{n=0}
-160016	小圈	83445	23567	1	null
-160017	渔家	65536	28180	3	{n=2}
-160018	脸皮薄	65536	171756	3	{l=0}
-160019	金睛火眼	65536	160014	3	{l=0}
-160020	金石丝竹	65536	160025	3	{i=0}
-160021	排污	95375	25490	2	{v=5, vn=4}
-160022	肝硬	125110	32925	1	null
-160023	广货	65536	24191	3	{j=4, n=0}
-160024	金石为开	65536	160054	3	{i=0}
-160025	金石丝	128539	227765	1	null
-160026	膏药	65536	33167	3	{n=0}
-160027	金石之交	65536	160071	3	{i=0}
-160028	金碧辉	131025	227945	1	null
-160029	金碧辉煌	65536	160028	3	{i=2}
-160030	逸史	65536	36920	3	{n=0}
-160031	肺活	109217	32954	1	null
-160032	邹家	137690	37049	1	null
-160033	金科玉	135575	228243	1	null
-160034	金科玉律	65536	160033	3	{i=0}
-160035	金童奖	65536	228519	3	{nz=0}
-160036	物是	113586	29289	1	null
-160037	膘肥肉	126042	155601	1	null
-160038	辩才	130875	36777	2	{n=0}
-160039	每家	65536	27599	3	{r=6}
-160040	挂虑	65536	25346	3	{v=0}
-160041	外骨	65537	22806	1	null
-160042	引进	77733	24341	2	{v=118, vn=11}
-160043	班级	65536	29677	3	{n=3}
-160044	编目部	65536	202483	3	{n=0}
-160045	村党	100440	26449	1	null
-160046	金童玉女	65536	166742	3	{i=0}
-160047	金箍棒	65536	228687	3	{n=0}
-160048	金粟兰	65536	228961	3	{n=0}
-160049	林州	99945	26519	2	{ns=0}
-160050	芦田	65536	33446	3	{nr=0}
-160051	潜血	65536	28508	3	{n=0}
-160052	金翅雀	65536	229767	3	{n=0}
-160053	金花菜	65536	230515	3	{n=0}
-160054	金石为	135704	227765	1	null
-160055	金苹果	65536	230587	3	{nz=0}
-160056	金蝉脱	137288	231691	1	null
-160057	稻糠	65536	31291	3	{n=0}
-160058	开关	83538	24320	2	{n=3, v=1}
-160059	金蝉脱壳	65536	160056	3	{i=2}
-160060	次重	86842	27425	1	null
-160061	金融寡头	65536	164324	3	{l=0}
-160062	开具	65536	24320	3	{v=3}
-160063	引述	65536	24341	3	{v=4}
-160064	曲曲	97425	26354	2	{z=0}
-160065	莱索	124649	33713	1	null
-160066	练摊	65536	32451	3	{v=2}
-160067	平淡	83190	24179	2	{a=5, an=1}
-160068	欢畅	65536	27426	3	{a=0, an=0}
-160069	杂务	65536	26434	3	{n=0}
-160070	治罪	65536	27835	3	{v=0}
-160071	金石之	139895	227765	1	null
-160072	班组	96775	29677	2	{n=3}
-160073	心余	90544	24515	1	null
-160074	耐火黏	123535	165552	1	null
-160075	情郎	65536	24773	3	{n=0}
-160076	成建	93086	25104	1	null
-160077	排沙	85237	25490	1	null
-160078	金融资本	65536	176967	3	{l=0, n=1}
-160079	引退	65536	24341	3	{v=0}
-160080	金迷纸	122826	233913	1	null
-160081	天籁	65536	22825	3	{n=6}
-160082	端点	65536	31471	3	{n=0}
-160083	金迷纸醉	65536	160080	3	{i=0}
-160084	金銮宝	135856	234608	1	null
-160085	波浪	96123	27874	2	{n=2}
-160086	鄂伦	132990	37122	1	null
-160087	金銮宝座	65536	160084	3	{n=0}
-160088	小坐	65536	23567	3	{v=0}
-160089	外高	78085	22806	1	null
-160090	金针菜	65536	235082	3	{n=0}
-160091	村冈	65536	26449	3	{nr=0}
-160092	金铃子	65536	235141	3	{n=0}
-160093	平添	65536	24179	3	{v=4}
-160094	强者	65536	24378	3	{n=5}
-160095	金银财宝	65536	175188	3	{i=0}
-160096	大篆	65536	22823	3	{n=2}
-160097	安营	79873	23433	2	{v=0}
-160098	波海	65536	27874	3	{j=20, ns=0}
-160099	誊清	65536	35466	3	{v=0}
-160100	金钱关	65536	235123	3	{n=1}
-160101	家道	85826	23478	2	{n=0}
-160102	引逗	65536	24341	3	{v=0}
-160103	绥芬	116384	32485	1	null
-160104	金银制	65536	235192	3	{n=2}
-160105	谁是	118079	35841	1	null
-160106	金长城	65536	235329	3	{nz=3}
-160107	实验	84087	23454	2	{n=9, v=3, vn=27}
-160108	膨胀	115470	33192	2	{v=22, vn=3}
-160109	约稿	65536	32422	3	{v=1, vn=0}
-160110	金闪闪	65536	235436	3	{z=0}
-160111	村农	95772	26449	1	null
-160112	金陵乡	65536	235575	3	{ns=0}
-160113	称体	105745	31216	1	null
-160114	金霉素	65536	235723	3	{n=0}
-160115	跋涉	65536	36299	3	{v=5, vn=4}
-160116	金顶寺	65536	236088	3	{ns=0}
-160117	金马河	65536	236590	3	{ns=4}
-160118	紧密	119168	32039	2	{a=29, ad=54, v=1}
-160119	波涌	100835	27874	1	null
-160120	排泄	87576	25490	2	{v=0}
-160121	林带	65536	26519	3	{n=2}
-160122	称作	65536	31216	3	{v=3}
-160123	湖笔	65536	28246	3	{n=0}
-160124	汗颜	65536	27735	3	{n=1, v=0}
-160125	辩护	136814	36777	2	{v=1, vn=0}
-160126	致冷	125936	33268	1	null
-160127	金鸡独立	65536	166679	3	{i=0}
-160128	金鹏奖	65536	237585	3	{nz=0}
-160129	金鸡奖	65536	237539	3	{nz=1}
-160130	开冻	65536	24320	3	{v=0}
-160131	言归正	132504	190880	1	null
-160132	战壕	65536	25112	3	{n=1}
-160133	金鸡纳树	65536	169694	3	{l=0}
-160134	波涛	65536	27874	3	{n=5}
-160135	珍重	65536	29645	3	{v=4, vn=0}
-160136	金龟子	65536	237921	3	{n=0}
-160137	葱绿	65536	33905	3	{z=1}
-160138	釜底抽薪	65536	160139	3	{i=0}
-160139	釜底抽	125920	160689	1	null
-160140	胚芽	65536	32986	3	{n=0}
-160141	釜山	65536	37340	3	{ns=0}
-160142	工社	87383	24037	1	null
-160143	釜底游鱼	65536	163078	3	{i=0}
-160144	惊雷	65536	24778	3	{n=0}
-160145	大篷	65829	22823	1	null
-160146	推本	88730	25512	1	null
-160147	小型	85564	23567	2	{b=35}
-160148	柳木	65536	26611	3	{n=0}
-160149	鉴别仪	65536	161593	3	{n=1}
-160150	板材	65536	26495	3	{n=2}
-160151	接替	65536	25509	3	{v=7, vn=1}
-160152	秃鹫	65536	31171	3	{n=0}
-160153	遗传性	65536	210083	3	{n=0}
-160154	战士	65536	25112	3	{n=138}
-160155	鉴貌辨	126762	176538	1	null
-160156	鉴貌辨色	65536	160155	3	{i=0}
-160157	秃鹰	65536	31171	3	{n=0}
-160158	根除	65536	26681	3	{v=4, vn=1}
-160159	鉴赏力	65536	176733	3	{n=1}
-160160	连环套	65536	216730	3	{n=0}
-160161	金鱼缸	65536	237118	3	{n=0}
-160162	观测点	65536	185562	3	{n=2}
-160163	鏊子	65536	37834	3	{n=1}
-160164	片警	65536	29255	3	{n=0}
-160165	鏖战	65536	37846	3	{v=2, vn=0}
-160166	鑫诺	138672	37995	2	{nz=0}
-160167	鑫诺号	65536	160166	3	{nz=0}
-160168	安葬	68890	23433	2	{v=2, vn=0}
-160169	诊疗	129939	35786	2	{v=1, vn=1}
-160170	针刺麻	122922	171856	1	null
-160171	鉴定书	65536	164008	3	{n=0}
-160172	推杆	65536	25512	3	{n=0}
-160173	急行	91730	24613	1	null
-160174	诸葛村	65536	177839	3	{ns=0}
-160175	腻虫	65536	33147	3	{n=0}
-160176	錾刀	65536	37694	3	{n=0}
-160177	每局	65536	27599	3	{r=1}
-160178	教唆	88982	25945	2	{v=1}
-160179	针刺麻醉	65536	160170	3	{l=0}
-160180	肩膀	65536	32937	3	{n=6}
-160181	柳杉	65536	26611	3	{n=0}
-160182	战备	65536	25112	3	{v=0, vn=6}
-160183	荣誉章	65536	177533	3	{n=0}
-160184	平湖	65536	24179	3	{ns=0}
-160185	针头线	127147	173642	1	null
-160186	山石	65536	23665	3	{n=0}
-160187	繁分	117066	32321	1	null
-160188	针头线脑	65536	160185	3	{l=0}
-160189	针对性	65536	174351	3	{n=24}
-160190	针砭时	135862	181571	1	null
-160191	酷刑	65536	37239	3	{n=0}
-160192	针砭时弊	65536	160190	3	{i=2}
-160193	躯干	65536	36527	3	{n=2}
-160194	眉毛	65536	30473	3	{n=1}
-160195	针锋相	136659	188961	1	null
-160196	致函	65536	33268	3	{v=7}
-160197	针叶林	65536	172300	3	{n=0}
-160198	开凿	65536	24320	3	{v=0}
-160199	开刀	65536	24320	3	{v=1}
-160200	蓬松	124011	34028	2	{a=0}
-160201	针灸师	65536	179598	3	{n=1}
-160202	针织厂	65536	183261	3	{n=2}
-160203	针线包	65536	183253	3	{n=0}
-160204	针锋相对	65536	160195	3	{i=3}
-160205	柳条	100182	26611	2	{n=0}
-160206	藩篱	65536	34281	3	{n=0}
-160207	钉书机	65536	160517	3	{n=0}
-160208	敌敌	88189	25932	1	null
-160209	钉子户	65536	163823	3	{l=0, n=1}
-160210	钉齿耙	65536	181278	3	{n=0}
-160211	钌铞	65536	38028	3	{n=0}
-160212	柳杨	101729	26611	1	null
-160213	钎子	65536	38030	3	{n=0}
-160214	钓鱼台国	136732	160229	1	null
-160215	诊病	65536	35786	3	{v=1}
-160216	战天	88277	25112	1	null
-160217	通信卫	132189	213037	1	null
-160218	钓鱼台国宾	120919	160214	1	null
-160219	纪检	121810	32426	2	{j=39}
-160220	羞涩	65536	32670	3	{a=2, an=0}
-160221	钓鱼台国宾馆	65536	160218	3	{n=0}
-160222	开列	65536	24320	3	{v=1}
-160223	貂熊	65536	35970	3	{n=0}
-160224	都会	65536	37117	3	{n=1}
-160225	钕铁	129386	38037	1	null
-160226	开创	85512	24320	2	{n=0, v=49, vn=2}
-160227	耳朵软	65536	194348	3	{l=0}
-160228	早熟	65536	26089	3	{v=2, vn=0}
-160229	钓鱼台	137945	180605	2	{ns=9}
-160230	钕铁硼	65536	160225	3	{n=0}
-160231	钗头	139270	38039	1	null
-160232	绞尽	111092	32478	1	null
-160233	说不来	65536	200578	3	{l=0}
-160234	钗头凤	65536	160231	3	{n=0}
-160235	钝角	65536	38045	3	{n=0}
-160236	钙化	65536	38041	3	{v=0, vn=0}
-160237	对讲	80050	23545	1	null
-160238	钞票	65536	38046	3	{n=7}
-160239	钟乳石	65536	182238	3	{n=0}
-160240	配电站	65536	214333	3	{n=0}
-160241	触媒	65536	35302	3	{n=0}
-160242	薯莨	65536	34223	3	{n=0}
-160243	遮住	65536	36974	3	{v=1}
-160244	格调	65536	26684	3	{n=4}
-160245	钟灵毓	129079	190944	1	null
-160246	筹资	65536	31609	3	{v=14, vn=6}
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-160248	躲开	65536	36530	3	{v=1}
-160249	细胞质	65536	204586	3	{n=0}
-160250	月光	99110	26376	2	{n=2}
-160251	钟点工	65536	191012	3	{n=2}
-160252	对证	65536	23545	3	{vn=0}
-160253	织锦	111192	32455	2	{n=0}
-160254	钟祥市	65536	193232	3	{ns=1}
-160255	艳福	65536	33395	3	{n=0}
-160256	星火	94622	26143	2	{n=6, nz=0}
-160257	牌迷	65536	29260	3	{n=0}
-160258	航天航	116863	165364	1	null
-160259	柳林	102852	26611	1	null
-160260	钟表店	65536	197075	3	{n=0}
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-160262	鄙俗	65536	37145	3	{a=0}
-160263	钟鸣鼎	121131	202638	1	null
-160264	通讯卫	132299	228347	1	null
-160265	柳枝	65536	26611	3	{n=0}
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-160268	钠气灯	65536	160301	3	{n=0}
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-160272	焦化	65536	28966	3	{v=0, vn=2}
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-160274	曲柄	65536	26354	3	{n=0}
-160275	芝罘	127210	33437	1	null
-160276	钠玻璃	65536	162260	3	{n=0}
-160277	成心	65536	25104	3	{b=0, d=0}
-160278	钡餐	65536	38049	3	{n=0}
-160279	耐寒	65536	32784	3	{a=0}
-160280	对话	84364	23545	2	{n=0, v=15, vn=33}
-160281	月全	82892	26376	1	null
-160282	襟翼	65536	35167	3	{n=1}
-160283	钢化玻	130461	207592	1	null
-160284	钢丝床	65536	206319	3	{n=0}
-160285	工种	65536	24037	3	{n=3}
-160286	著作等	113675	150457	1	null
-160287	蜕皮	65536	34581	3	{v=0}
-160288	钢化玻璃	65536	160283	3	{n=0}
-160289	工科	65536	24037	3	{n=0}
-160290	贤弟	65536	36132	3	{n=0}
-160291	钢精锅	65536	218256	3	{n=0}
-160292	钢琴家	65536	216070	3	{n=2}
-160293	钢花呢	65536	219779	3	{n=0}
-160294	燕赵	65536	29141	3	{j=0, ns=3, s=1}
-160295	钢铁长	137818	224403	1	null
-160296	钢铁长城	65536	160295	3	{l=0}
-160297	提成	65536	25552	3	{n=1, v=0, vn=0}
-160298	衷肠	65536	34935	3	{n=0}
-160299	巴里	84513	24052	1	null
-160300	甜水	65536	29980	3	{n=0}
-160301	钠气	131485	38048	1	null
-160302	钢锯条	65536	224513	3	{n=0}
-160303	社火	65536	31038	3	{n=0}
-160304	巴金	65536	24052	3	{nr=5}
-160305	衍生	122302	34893	2	{v=3, vn=5}
-160306	舰群	65536	33328	3	{n=0}
-160307	平滑	76365	24179	2	{a=0, an=0}
-160308	钢骨水	132438	225914	1	null
-160309	礼义	115567	31036	1	null
-160310	干燥	88056	24178	2	{a=4, ad=0, an=0}
-160311	迫击	129037	36843	1	null
-160312	迁善	131210	36801	1	null
-160313	钢笔头	65536	217830	3	{n=0}
-160314	诺曼	129663	35834	1	null
-160315	钢骨水泥	65536	160308	3	{l=0}
-160316	礼乐	65536	31036	3	{n=0}
-160317	敌方	65536	25932	3	{n=2}
-160318	对调	65536	23545	3	{v=0}
-160319	针叶树	65536	172300	3	{n=0}
-160320	虾片	65536	34430	3	{n=0}
-160321	诞辰	65536	35806	3	{n=28, v=0}
-160322	钥匙	136946	38053	2	{n=17}
-160323	迫切	133271	36843	2	{a=16, ad=14}
-160324	大粪	70522	22823	2	{n=0}
-160325	豆腐房	65536	191174	3	{n=0}
-160326	钥匙孔	65536	160322	3	{n=5}
-160327	钦南区	65536	161372	3	{ns=0}
-160328	钦差大	127081	164083	1	null
-160329	钦州市	65536	164067	3	{ns=3}
-160330	熟料	65536	29087	3	{n=0}
-160331	标竿	65536	26631	3	{n=0}
-160332	钦差大臣	65536	160328	3	{i=0}
-160333	钨丝灯	65536	160363	3	{n=0}
-160334	钩心斗	125053	161638	1	null
-160335	钩心斗角	65536	160334	3	{i=0}
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-160337	排涝	65536	25490	3	{v=1, vn=0}
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-160339	算不	117637	31639	1	null
-160340	缩印	118177	32553	2	{v=0}
-160341	肚量	65536	32922	3	{n=0}
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-160343	指甲	95280	25351	2	{n=2}
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-160345	纺车	65536	32442	3	{n=0}
-160346	钱学森	65536	174222	3	{nr=0}
-160347	工程	87788	24037	2	{n=713, nz=0}
-160348	钢笔套	65536	217830	3	{n=0}
-160349	板栗	65536	26495	3	{n=11}
-160350	边缘性	65536	204387	3	{n=1}
-160351	鉴定会	65536	164008	3	{n=1}
-160352	钱家峪	65536	174302	3	{ns=0}
-160353	钳口结	127063	160788	1	null
-160354	致力	65536	33268	3	{v=38}
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-160356	提手	91171	25552	2	{n=0}
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-160360	洗心	90484	27927	1	null
-160361	钴胺	128341	38068	1	null
-160362	葱翠	65536	33905	3	{z=1}
-160363	钨丝	131550	38056	2	{n=0}
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-160366	钦佩	65536	38054	3	{v=6, vn=1}
-160367	开动	65536	24320	3	{v=7}
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-160372	村务	102596	26449	2	{n=3, v=0}
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-160375	钵头	65536	38069	3	{n=0}
-160376	称做	65536	31216	3	{v=1}
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-160381	柳树	65536	26611	3	{n=4}
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-160383	自不量	126361	206141	1	null
-160384	钻天杨	65536	178755	3	{n=0}
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-160386	碳黑	65536	30899	3	{n=0}
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-160390	自作聪	121420	206476	1	null
-160391	钻木取火	65536	160385	3	{i=1}
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-160393	干爸	65536	24178	3	{n=0}
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-160395	钻牛角	136830	185205	1	null
-160396	浅薄	65536	27973	3	{a=1, an=0}
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-160410	铀矿	136209	38080	2	{n=8}
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-160417	钼矿	65536	38076	3	{n=1}
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-160436	花生米	65536	216745	3	{n=0}
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-160440	经营责	123651	204321	1	null
-160441	铁力木	65536	215218	3	{n=0}
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-160520	欢眉	103875	27426	1	null
-160521	针织品	65536	183261	3	{n=1}
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-160524	母性	65536	27597	3	{n=0}
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-160526	铁法官	65536	221932	3	{n=1}
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-160529	铁甲舰	65536	224073	3	{n=0}
-160530	探询	65536	25506	3	{v=0}
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-160532	蛋白胨	65536	165519	3	{n=0}
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-160534	铁皮大	119814	224453	1	null
-160535	花生糖	65536	216745	3	{n=0}
-160536	腋臭	65536	33099	3	{n=0}
-160537	铁皮大鼓	65536	160534	3	{n=0}
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-160540	误入	126150	35823	1	null
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-160542	钓丝	65536	38035	3	{n=0}
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-160545	重重地	65536	233011	3	{z=1}
-160546	铁石心肠	65536	160538	3	{i=1}
-160547	铁矾土	65536	224789	3	{n=0}
-160548	小夜	80469	23567	1	null
-160549	抗菌	83349	25239	1	null
-160550	踢球	65536	36386	3	{v=0}
-160551	铁矿石	65536	224790	3	{n=1}
-160552	窝里	115381	31389	1	null
-160553	诡秘	65536	35809	3	{a=1}
-160554	舌尖	109182	33292	2	{n=0}
-160555	贸易	133495	36152	2	{v=24, vn=215}
-160556	铁算盘	65536	225710	3	{n=1}
-160557	脊骨	65536	33034	3	{n=0}
-160558	连锁店	65536	225260	3	{n=4}
-160559	铁索桥	65536	226105	3	{n=0}
-160560	杂和	89573	26434	1	null
-160561	小天	66311	23567	1	null
-160562	汇率	106748	27719	2	{n=150}
-160563	犯难	65536	29359	3	{v=1}
-160564	铁线蕨	65536	226518	3	{n=0}
-160565	赏心	130237	36175	1	null
-160566	酱坊	65536	37233	3	{n=0}
-160567	股子	65536	32929	3	{q=0}
-160568	蝇粪	122406	34631	1	null
-160569	铁老大	65536	226840	3	{l=3}
-160570	挂衣	78268	25346	1	null
-160571	铁脚板	65536	227121	3	{n=0}
-160572	铁腕人	131288	227180	1	null
-160573	腹带	65536	33145	3	{n=0}
-160574	开卷	83753	24320	2	{v=1}
-160575	挂表	65536	25346	3	{n=0}
-160576	歌手	65536	27468	3	{n=9}
-160577	铁腕人物	65536	160572	3	{n=0}
-160578	赔小	130476	36180	1	null
-160579	猎豹	65536	29454	3	{n=2, nz=0, v=0}
-160580	铁蒺藜	65536	228049	3	{n=0}
-160581	狂吠	65536	29378	3	{v=0}
-160582	育草	65536	32946	3	{v=0}
-160583	逞威	119373	36894	1	null
-160584	淡色	65536	28129	3	{n=0}
-160585	改组	65536	25913	3	{v=16, vn=25}
-160586	铁蚕豆	65536	228524	3	{n=0}
-160587	账号	65536	36134	3	{n=6}
-160588	汗马	106730	27735	1	null
-160589	铁西区	65536	229270	3	{ns=1}
-160590	铁观音	65536	229337	3	{n=0}
-160591	组分	65536	32452	3	{n=0}
-160592	输出方	65536	172593	3	{n=4}
-160593	裂殖	118163	35010	1	null
-160594	郊外	65536	37066	3	{s=1}
-160595	放之	95745	25918	1	null
-160596	赊欠	65536	36170	3	{v=0}
-160597	轴承	65536	36724	3	{n=1}
-160598	铁证如	136934	229848	1	null
-160599	铁证如山	65536	160598	3	{i=0}
-160600	脊髓	118260	33034	2	{n=2}
-160601	衣食父	124071	205530	1	null
-160602	铁锁链	65536	232216	3	{n=0}
-160603	誓死	65536	35475	3	{d=0}
-160604	铁道兵	65536	231018	3	{n=1}
-160605	铁面无	129437	232825	1	null
-160606	铁面无私	65536	160605	3	{i=1}
-160607	郎君	65536	37070	3	{n=0}
-160608	铁饭碗	65536	233348	3	{n=8}
-160609	胎毒	65536	32974	3	{n=0}
-160610	称兄	103814	31216	1	null
-160611	对质	65536	23545	3	{v=0}
-160612	工笔	78202	24037	2	{n=2}
-160613	杂品	65536	26434	3	{n=0}
-160614	开原	86066	24320	2	{ns=0}
-160615	铄石	132647	38084	1	null
-160616	铄石流	123288	160615	1	null
-160617	铄石流金	65536	160616	3	{i=0}
-160618	胎毛	65536	32974	3	{n=0}
-160619	资产阶	122512	187152	1	null
-160620	跃入	65536	36291	3	{v=4}
-160621	焦味	65536	28966	3	{n=0}
-160622	拉客	65536	25289	3	{v=0}
-160623	铅中毒	65536	177190	3	{n=0}
-160624	滑行	94460	28369	2	{v=0, vn=0}
-160625	胃扩	122249	32963	1	null
-160626	美尔雅	65536	194516	3	{nz=0}
-160627	缠足	65536	32544	3	{v=0}
-160628	组别	65536	32452	3	{n=2}
-160629	铅刀一	139524	178169	1	null
-160630	铅刀一割	65536	160629	3	{i=0}
-160631	盐土	65536	30416	3	{n=0}
-160632	葫芦蔓	65536	150237	3	{n=0}
-160633	老少边	114173	209010	1	null
-160634	铅垂线	65536	179579	3	{n=0}
-160635	小女	65536	23567	3	{n=0}
-160636	葡萄糖	65536	158026	3	{n=0}
-160637	铅字合	123309	180560	1	null
-160638	铅字合金	65536	160637	3	{l=0}
-160639	铅灰色	65536	185961	3	{n=0}
-160640	铅玻璃	65536	186804	3	{n=0}
-160641	铅笔画	65536	188685	3	{n=0}
-160642	拉家	91712	25289	1	null
-160643	铆钉枪	65536	177518	3	{n=0}
-160644	铜墙铁	137928	206218	1	null
-160645	山禾	65536	23665	3	{nz=0}
-160646	开县	65536	24320	3	{ns=0}
-160647	波澜	106133	27874	2	{n=8}
-160648	铁路局	65536	230406	3	{n=22}
-160649	铜墙铁壁	65536	160644	3	{i=1}
-160650	铜山县	65536	207202	3	{ns=1}
-160651	答辩	65536	31572	3	{v=0, vn=1}
-160652	铜川市	65536	207566	3	{ns=0}
-160653	遂平	137165	36930	2	{ns=0}
-160654	铜氨丝	65536	211225	3	{n=0}
-160655	遍地	134303	36941	2	{v=1, vd=2, vn=0}
-160656	襄理	65536	35140	3	{n=0}
-160657	继站	65536	32487	3	{j=0}
-160658	盐场	65536	30416	3	{n=0}
-160659	读书	133951	35835	2	{v=74, vn=0}
-160660	定钱	65536	23450	3	{n=0}
-160661	铜版画	65536	212793	3	{n=0}
-160662	缘起	65536	32536	3	{n=0, v=0}
-160663	铆劲	65536	38086	3	{v=0}
-160664	开发	90570	24320	2	{v=250, vn=236}
-160665	耶路	120220	32822	1	null
-160666	铜筋铁	121077	215100	1	null
-160667	改编	65536	25913	3	{v=17, vn=2}
-160668	鉴于	65536	37492	3	{p=14}
-160669	铜筋铁骨	65536	160666	3	{i=0}
-160670	甜润	65536	29980	3	{a=0}
-160671	铜管乐	65536	215186	3	{n=0}
-160672	浑金	99912	27985	1	null
-160673	狂呼	65536	29378	3	{v=1}
-160674	算作	65536	31639	3	{v=3}
-160675	胎气	65536	32974	3	{n=0}
-160676	紧巴	118735	32039	2	{a=0}
-160677	树墩	65536	26641	3	{n=0}
-160678	小妞	65536	23567	3	{n=0}
-160679	观赏者	65536	193758	3	{n=0}
-160680	铜车马	65536	220247	3	{n=0}
-160681	谱曲	65536	35889	3	{v=0}
-160682	开口	86762	24320	2	{v=6}
-160683	疑虑	65536	30097	3	{n=12, v=1, vn=2}
-160684	铜钵村	65536	221606	3	{ns=0}
-160685	质量数	65536	189154	3	{n=0}
-160686	诚华	65536	35802	3	{nz=0}
-160687	朝气	88734	26397	2	{n=2}
-160688	年糕	65536	24180	3	{n=5}
-160689	釜底	134862	37340	1	null
-160690	跌宕	119514	36300	1	null
-160691	纱锭	65536	32433	3	{n=2}
-160692	铃儿	65536	38083	3	{n=0}
-160693	根须	65536	26681	3	{n=0}
-160694	村口	65536	26449	3	{s=6}
-160695	铜陵市	65536	222054	3	{ns=0}
-160696	蠢物	65536	34850	3	{n=0}
-160697	铝制品	65536	168629	3	{n=0}
-160698	肋间	113450	32907	1	null
-160699	铝合金	65536	169095	3	{n=3}
-160700	环形	65536	29615	3	{n=4}
-160701	酷吏	65536	37239	3	{n=0}
-160702	敌机	65536	25932	3	{n=0}
-160703	开司	78282	24320	1	null
-160704	盐坨	114295	30416	1	null
-160705	小妹	65536	23567	3	{n=0}
-160706	铝土矿	65536	169886	3	{n=0}
-160707	礼俗	65536	31036	3	{n=1}
-160708	敌杀	90710	25932	1	null
-160709	村史	65536	26449	3	{n=0}
-160710	虔诚	65536	34388	3	{a=4, an=1}
-160711	铝型材	65536	169994	3	{n=0}
-160712	排演	65536	25490	3	{v=5, vn=1}
-160713	铝矾土	65536	178301	3	{n=1}
-160714	铠甲	65536	38112	3	{n=1}
-160715	铡刀	65536	38113	3	{n=0}
-160716	广远	65536	24191	3	{j=0}
-160717	铤而	124510	38116	1	null
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-160719	天线	65536	22825	3	{n=2}
-160720	铤而走险	65536	160718	3	{i=6}
-160721	铣刀	65536	38115	3	{n=0}
-160722	铩羽	127943	38121	1	null
-160723	铩羽而	136322	160722	1	null
-160724	铩羽而归	65536	160723	3	{i=0}
-160725	开后	71766	24320	1	null
-160726	目录	116454	30446	2	{n=30}
-160727	贬抑	65536	36140	3	{v=0, vn=0}
-160728	小姐	65536	23567	3	{n=41}
-160729	小姑	83774	23567	2	{n=0}
-160730	逼和	65536	36924	3	{v=1}
-160731	误判	65536	35823	3	{v=1, vn=0}
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-160733	邹平	137591	37049	1	null
-160734	铬铁矿	65536	160769	3	{n=1}
-160735	天经	78395	22825	1	null
-160736	铬镍钢	65536	160909	3	{n=0}
-160737	星牌	65536	26143	3	{nz=0}
-160738	铬钢	65536	38124	3	{n=0}
-160739	贤惠	65536	36132	3	{a=0}
-160740	铭心刻	121150	164284	1	null
-160741	每年	65536	27599	3	{r=212}
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-160743	铭肌镂	121154	172677	1	null
-160744	腋芽	65536	33099	3	{n=0}
-160745	金针虫	65536	235082	3	{n=0}
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-160748	眉清	107909	30473	1	null
-160749	遮光	132287	36974	2	{v=0}
-160750	钉住	65536	38025	3	{l=3}
-160751	当真	65536	24403	3	{d=0, v=0}
-160752	小姨	83459	23567	1	null
-160753	铭记在	136239	175529	1	null
-160754	铭记在心	65536	160753	3	{l=2}
-160755	袜筒	65536	34972	3	{n=0}
-160756	此文	65536	27492	3	{r=1}
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-160758	开启	65536	24320	3	{v=4, vn=2}
-160759	心切	65536	24515	3	{a=1, an=0}
-160760	见习生	65536	199469	3	{n=0}
-160761	铮铮	125287	38126	2	{a=0, z=2}
-160762	铮铮誓	125435	160761	1	null
-160763	铮铮誓言	65536	160762	3	{l=1}
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-160765	赃物	65536	36163	3	{n=9}
-160766	裁撤	65536	35009	3	{v=0}
-160767	月华	65536	26376	3	{n=0}
-160768	铰链	65536	38128	3	{n=0}
-160769	铬铁	130015	38124	2	{n=0}
-160770	计量秤	65536	186684	3	{n=0}
-160771	放任	84729	25918	2	{v=0, vn=0}
-160772	报忧	65536	25253	3	{v=2}
-160773	科技馆	65536	188514	3	{n=5}
-160774	自作自	126084	206476	1	null
-160775	铱星	65536	38129	3	{n=0}
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-160777	铱金笔	65536	171961	3	{n=0}
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-160779	小娃	65536	23567	3	{n=0}
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-160781	铲土机	65536	162180	3	{n=0}
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-160784	当着	65536	24403	3	{p=3}
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-160786	铲雪机	65536	178511	3	{n=0}
-160787	投融	79109	25237	1	null
-160788	钳口	127886	38067	1	null
-160789	铴锣	65536	38132	3	{n=0}
-160790	着数	65536	30528	3	{n=0}
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-160792	缴费	65536	32564	3	{v=2, vn=0}
-160793	脓血	65536	33043	3	{n=1}
-160794	银企合	140480	211572	1	null
-160795	考古队	65536	184414	3	{n=0}
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-160797	金融业	65536	231759	3	{n=31}
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-160799	银川市	65536	215376	3	{ns=5}
-160800	小娘	83460	23567	1	null
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-160803	树大	99098	26641	1	null
-160804	银杏树	65536	217794	3	{n=0}
-160805	辐射学	65536	156868	3	{n=0}
-160806	盐城	113608	30416	2	{ns=5}
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-160808	银根菜	65536	218028	3	{n=0}
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-160810	对路	65536	23545	3	{a=1}
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-160812	群英谱	65536	193927	3	{n=1}
-160813	银灰色	65536	220131	3	{n=0}
-160814	银环蛇	65536	220962	3	{n=0}
-160815	脏腑	65536	33039	3	{n=0}
-160816	绿头鸭	65536	194006	3	{n=0}
-160817	蝴蝶装	65536	151293	3	{n=0}
-160818	早班	83905	26089	2	{n=0}
-160819	银荔杯	65536	224967	3	{nz=0}
-160820	铭刻	65536	38125	3	{n=0, v=2}
-160821	答道	65536	31572	3	{v=3}
-160822	手头	91083	25163	2	{n=2}
-160823	月历	65536	26376	3	{n=1}
-160824	葫芦藓	65536	150237	3	{n=0}
-160825	翅鞘	65536	32709	3	{n=0}
-160826	银装素	125762	226360	1	null
-160827	银装素裹	65536	160826	3	{i=0, l=3}
-160828	大红	80141	22823	2	{b=20}
-160829	拉山	92984	25289	1	null
-160830	山穷	80097	23665	1	null
-160831	组织纪	119141	172048	1	null
-160832	大约	65536	22823	3	{d=32}
-160833	象山	132792	35937	2	{ns=26}
-160834	演讲	111519	28436	2	{n=0, v=13, vn=6}
-160835	练习题	65536	154456	3	{n=0}
-160836	致命	127800	33268	2	{a=0, v=5, vn=0}
-160837	银白杨	65536	221680	3	{n=0}
-160838	贼头	118701	36156	1	null
-160839	银质奖	65536	227483	3	{n=0}
-160840	方丈	65536	26041	3	{n=0}
-160841	铸成大	122673	165930	1	null
-160842	铸成大错	65536	160841	3	{i=0}
-160843	赐教	65536	36176	3	{v=0}
-160844	大纲	65536	22823	3	{n=9}
-160845	铸造厂	65536	177722	3	{n=0}
-160846	铺天盖	138527	195381	1	null
-160847	铺天盖地	65536	160846	3	{i=2}
-160848	蕃衍	65536	34115	3	{v=0}
-160849	菱角	65536	33777	3	{n=0}
-160850	铺张浪	124699	196908	1	null
-160851	提携	65536	25552	3	{v=0}
-160852	铺张浪费	65536	160850	3	{i=10}
-160853	铺盖卷	65536	202978	3	{n=1}
-160854	学龄	82847	23398	2	{b=0, n=0}
-160855	铺路石	65536	208891	3	{n=0}
-160856	穿孔	114849	31359	2	{v=0}
-160857	手套	65536	25163	3	{n=1}
-160858	翩翩飞	111981	149042	1	null
-160859	铺锦叠	128126	210738	1	null
-160860	钢笔字	65536	217830	3	{n=0}
-160861	演词	65536	28436	3	{n=0}
-160862	铺锦叠翠	65536	160859	3	{i=0}
-160863	棉衣	65536	26825	3	{n=22}
-160864	铺集镇	65536	211154	3	{ns=0}
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-160866	诡笑	65536	35809	3	{v=0}
-160867	此时	98640	27492	2	{r=30}
-160868	山窝	65536	23665	3	{n=0}
-160869	铲刀	65536	38130	3	{n=0}
-160870	链式反	136661	162142	1	null
-160871	天罗	78405	22825	1	null
-160872	菇类	65536	33735	3	{n=0}
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-160877	谱架	65536	35889	3	{n=0}
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-160882	肺炎	65536	32954	3	{n=2}
-160883	铿锵有	139741	160880	1	null
-160884	续篇	65536	32493	3	{n=0}
-160885	记录本	65536	192502	3	{n=2}
-160886	钢琴师	65536	216070	3	{n=0}
-160887	绵纸	65536	32501	3	{n=0}
-160888	铿锵有力	65536	160883	3	{i=0}
-160889	销售一空	65536	164532	3	{l=0}
-160890	销声匿	124035	166440	1	null
-160891	西洋画	65536	216515	3	{n=0}
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-160898	苗子	65536	33495	3	{n=3}
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-160900	演说	65536	28436	3	{v=4, vn=4}
-160901	迫不得	133829	159305	1	null
-160902	报恩	65536	25253	3	{v=1}
-160903	致哀	65536	33268	3	{v=0}
-160904	迈开	65536	36808	3	{v=3}
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-160908	探赜	84906	25506	1	null
-160909	铬镍	122686	38124	1	null
-160910	瓷雕	65536	29943	3	{n=0}
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-160912	锁麟囊	65536	182607	3	{n=2}
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-160914	总汇	65536	24635	3	{n=1, vn=1}
-160915	钵子	65536	38069	3	{n=0}
-160916	极而	88585	26497	1	null
-160917	锃亮	65536	38147	3	{z=3}
-160918	锅炉房	65536	169232	3	{n=1}
-160919	结构钢	65536	198900	3	{n=0}
-160920	心动	65536	24515	3	{v=1}
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-160922	锄头	65536	38148	3	{n=3}
-160923	锆包	138155	38150	1	null
-160924	褥疮	65536	35109	3	{n=0}
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-160927	成才	65536	25104	3	{v=3, vn=1}
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-160929	月台	90959	26376	2	{n=0}
-160930	心劲	65536	24515	3	{n=0}
-160931	心劳	85618	24515	1	null
-160932	访求	65536	35775	3	{v=0}
-160933	贬损	65536	36140	3	{v=0, vn=0}
-160934	锋芒所向	65536	160936	3	{i=0}
-160935	棉被	89986	26825	2	{n=23}
-160936	锋芒所	139413	173457	1	null
-160937	锉刀	65536	38153	3	{n=0}
-160938	秀雅	65536	31168	3	{a=0}
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-160940	锌版	65536	38156	3	{n=0}
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-160943	跃动	65536	36291	3	{v=0}
-160944	蚁穴	65536	34433	3	{n=0}
-160945	芳草	126513	33459	2	{n=6}
-160946	淡菜	65536	28129	3	{n=0}
-160947	管理科	118770	197816	1	null
-160948	绵绵	124359	32501	2	{z=5}
-160949	战将	65536	25112	3	{n=0}
-160950	胞衣	65536	32990	3	{n=0}
-160951	绵绸	65536	32501	3	{n=0}
-160952	站级	65536	31449	3	{b=0}
-160953	轻轻松	130275	219275	1	null
-160954	锌维全	129890	164184	1	null
-160955	小媳	83920	23567	1	null
-160956	锈斑	65536	38152	3	{n=0}
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-160958	绍酒	65536	32461	3	{n=0}
-160959	邯郸学	131489	158983	1	null
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-160961	狂喜	65536	29378	3	{v=0, vn=0}
-160962	杀青	65536	26432	3	{v=1}
-160963	甜滋	107115	29980	1	null
-160964	每当	65536	27599	3	{p=21}
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-160966	锌钡白	65536	169733	3	{n=0}
-160967	舰船	65536	33328	3	{n=1}
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-160969	远洋轮	65536	213640	3	{n=0}
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-160971	成批	65536	25104	3	{b=1, d=1}
-160972	锐不可当	65536	160968	3	{i=0}
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-160974	过渡性	65536	218385	3	{n=0}
-160975	锐意进	139515	166018	1	null
-160976	紧张	112637	32039	2	{a=54, ad=5, an=2, v=0, vn=0}
-160977	锐意进取	65536	160975	3	{l=0}
-160978	足协	129193	36275	2	{j=16}
-160979	激素	100249	28608	2	{n=0}
-160980	进退守	124267	222087	1	null
-160981	舰艇	65536	33328	3	{n=9}
-160982	统一	123975	32479	2	{a=71, ad=54, an=1, nz=0, v=113, vd=0, vn=190}
-160983	锑华	65536	38161	3	{n=0}
-160984	购买欲	65536	163788	3	{n=0}
-160985	蚁窝	65536	34433	3	{n=0}
-160986	腹心	126049	33145	2	{n=0}
-160987	锒铛	140151	38162	1	null
-160988	锒铛入	131568	160987	1	null
-160989	遂心	135693	36930	2	{v=0}
-160990	锄奸	65536	38148	3	{v=0}
-160991	紧急闸	65536	161237	3	{n=0}
-160992	棉裤	65536	26825	3	{n=2}
-160993	锒铛入狱	65536	160988	3	{i=2}
-160994	金台路	65536	218546	3	{ns=0}
-160995	牧笛	65536	29287	3	{n=0}
-160996	错别字	65536	176631	3	{n=2}
-160997	错失良	134572	178429	1	null
-160998	错失良机	65536	160997	3	{i=0}
-160999	辩明	65536	36777	3	{v=0}
-161000	苗家	117927	33495	2	{n=1, nz=0}
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-161003	大网	65536	22823	3	{n=1}
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-161005	错落有	127744	189449	1	null
-161006	次长	65536	27425	3	{n=0}
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-161010	支票	86017	25903	2	{n=10}
-161011	量子场	124031	179730	1	null
-161012	错落有致	65536	161005	3	{i=1}
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-161020	锡林浩特	65536	161025	3	{n=0}
-161021	锡林郭勒	130591	170117	2	{ns=0}
-161022	锡林郭勒盟	65536	161021	3	{ns=1}
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-161024	排灌	85421	25490	2	{n=0, vn=0}
-161025	锡林浩	131715	168759	1	null
-161026	锋刃	65536	38155	3	{n=0}
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-161030	锣鼓喧天	65536	161044	3	{i=3}
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-161033	暗号	65536	26263	3	{n=0}
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-161035	天翻	78408	22825	1	null
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-161038	锦囊妙	125294	171988	1	null
-161039	锦囊妙计	65536	161038	3	{i=0}
-161040	铸件	65536	38136	3	{n=1}
-161041	天老	79931	22825	1	null
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-161065	锦绣江山	65536	167754	3	{i=1}
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-161075	耿饼	65536	32831	3	{n=0}
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-161077	签证	65536	31614	3	{n=5, v=0, vn=0}
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-161080	锦绣前	129820	182253	1	null
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-161082	粮仓	65536	31918	3	{n=2}
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-161096	腐殖质	65536	157847	3	{n=1}
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-161112	小子	65536	23567	3	{n=3}
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-161121	虞美	130789	34398	1	null
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-161180	镌刻	65536	38220	3	{v=4, vn=0}
-161181	大考	65536	22823	3	{v=0}
-161182	通信地	136000	213037	1	null
-161183	链子	65536	38142	3	{n=0}
-161184	镏金	65536	38223	3	{n=0}
-161185	组员	65536	32452	3	{n=0}
-161186	镐头	65536	38224	3	{n=0}
-161187	年终	86552	24180	2	{t=14}
-161188	芬芳	65536	33452	3	{a=0, n=5}
-161189	小宝	83393	23567	1	null
-161190	镍币	65536	38221	3	{n=1}
-161191	袅袅绕	119302	163646	1	null
-161192	镔铁	65536	38228	3	{n=0}
-161193	板正	65536	26495	3	{a=0}
-161194	平版	65536	24179	3	{n=0}
-161195	诺曼第	65536	160314	3	{n=0}
-161196	蛇根	117457	34503	1	null
-161197	藕粉	65536	34261	3	{n=0}
-161198	镗床	65536	38231	3	{n=0}
-161199	镜泊湖	65536	179744	3	{ns=0}
-161200	过街桥	65536	225095	3	{n=1}
-161201	邀客	65536	36992	3	{v=0}
-161202	春事	65536	26149	3	{n=2}
-161203	淡蓝	65536	28129	3	{b=0}
-161204	笨鸟	120957	31528	1	null
-161205	珍闻	65536	29645	3	{n=0}
-161206	镜花水	134832	185351	1	null
-161207	艾菲	124835	33406	1	null
-161208	镜花水月	65536	161206	3	{i=0}
-161209	酉鸡	65536	37193	3	{t=0}
-161210	镢头	65536	38242	3	{n=0}
-161211	管理站	65536	197816	3	{n=3}
-161212	终将	65536	32456	3	{d=4}
-161213	镣铐	65536	38243	3	{n=0}
-161214	小家	86637	23567	1	null
-161215	镖客	65536	38230	3	{n=0}
-161216	拉巴	89793	25289	1	null
-161217	镧系	140416	38247	1	null
-161218	缩回	65536	32553	3	{v=0}
-161219	镧系元	129189	161217	1	null
-161220	抗虫	88557	25239	1	null
-161221	镧系元素	65536	161219	3	{n=0}
-161222	都匀	65536	37117	3	{ns=0}
-161223	镪水	65536	38250	3	{n=0}
-161224	锯刀	65536	38191	3	{n=1}
-161225	镭射	133559	38253	1	null
-161226	肝素	65536	32925	3	{n=0}
-161227	镭射气	65536	161225	3	{n=0}
-161228	镯子	65536	38255	3	{n=0}
-161229	镰刀	65536	38256	3	{n=7}
-161230	端电	120210	31471	1	null
-161231	镶嵌画	65536	164074	3	{n=2}
-161232	长一智	65536	218545	3	{l=1}
-161233	踢皮	126257	36386	1	null
-161234	长三火箭	65536	170047	3	{n=0}
-161235	心口	91730	24515	2	{n=0}
-161236	镶制	65536	38262	3	{v=0}
-161237	紧急	122599	32039	2	{a=65, ad=29}
-161238	肠梗	107945	32928	1	null
-161239	言不由	117756	186459	1	null
-161240	拉希	91319	25289	1	null
-161241	长丰县	65536	218593	3	{ns=1}
-161242	小寒	65536	23567	3	{t=1}
-161243	惊魂	87014	24778	2	{n=0}
-161244	耍弄	65536	32781	3	{v=0}
-161245	长乐市	65536	218625	3	{ns=0}
-161246	迅捷	65536	36805	3	{a=2}
-161247	跃变	132077	36291	1	null
-161248	教头	65536	25945	3	{n=1}
-161249	长吁短	139753	220082	1	null
-161250	长吁短叹	65536	161249	3	{i=0}
-161251	长命富贵	65536	161256	3	{i=0}
-161252	要不然	65536	195866	3	{c=2}
-161253	旧物	65536	26087	3	{n=0}
-161254	大职	73569	22823	1	null
-161255	索道	65536	32034	3	{n=0}
-161256	长命富	125102	220206	1	null
-161257	股市	65536	32929	3	{n=155}
-161258	舟车	128164	33311	2	{n=0}
-161259	膏血	65536	33167	3	{n=0}
-161260	长命百岁	65536	168090	3	{l=1}
-161261	长三丙	65536	218554	3	{j=2}
-161262	滚轮	65536	28378	3	{n=0}
-161263	营养素	65536	169568	3	{n=1}
-161264	长城站	65536	221055	3	{n=14, ns=0}
-161265	湖羊	65536	28246	3	{n=0}
-161266	艺术片	65536	168482	3	{n=3}
-161267	稳稳	118618	31283	1	null
-161268	长大成	141115	221400	1	null
-161269	长大成人	65536	161268	3	{l=4}
-161270	终局	65536	32456	3	{n=0}
-161271	长子县	65536	221953	3	{ns=0}
-161272	长宁区	65536	222002	3	{ns=4}
-161273	辩护律	132890	160125	1	null
-161274	拉帮	83361	25289	1	null
-161275	长岛县	65536	222284	3	{ns=0}
-161276	心同	84229	24515	1	null
-161277	走私罪	65536	213752	3	{n=2}
-161278	长崎县	65536	222399	3	{ns=0}
-161279	方便	99514	26041	2	{a=62, ad=1, an=20, v=17, vn=0}
-161280	敌楼	65536	25932	3	{n=0}
-161281	安装	65536	23433	3	{v=40, vn=11}
-161282	提早	65536	25552	3	{d=0, v=0}
-161283	长寿县	65536	222128	3	{ns=1}
-161284	长年累	134915	222757	1	null
-161285	记忆犹	127032	192615	1	null
-161286	长安乡	65536	222010	3	{ns=0}
-161287	生产率	65536	188608	3	{n=3}
-161288	耐心	65536	32784	3	{a=7, ad=6, an=3}
-161289	舒舒	121777	33298	1	null
-161290	暴胀	65536	26292	3	{a=0}
-161291	长年累月	65536	161284	3	{i=1}
-161292	长幼有	137088	222765	1	null
-161293	镀层	65536	38208	3	{n=0}
-161294	小将	65536	23567	3	{n=4}
-161295	长幼有序	65536	161292	3	{i=0}
-161296	长庚星	65536	222795	3	{n=0}
-161297	狗腿	110809	29399	1	null
-161298	缔造	111729	32532	2	{v=6, vn=2}
-161299	长征一号	65536	161326	3	{nz=0}
-161300	长征三号	141249	161335	2	{nz=1}
-161301	称号	65536	31216	3	{n=61}
-161302	长征二号	141341	161466	2	{nz=0}
-161303	小小	83489	23567	2	{a=0, z=11}
-161304	锻件	65536	38203	3	{n=0}
-161305	焦土	65536	28966	3	{n=0}
-161306	长征三号乙	65536	161300	3	{nz=0}
-161307	潜质	65536	28508	3	{n=1}
-161308	长征四号	65536	163593	3	{nz=0}
-161309	长明灯	65536	224703	3	{n=0}
-161310	长征二号丁	65536	161302	3	{nz=0}
-161311	统治阶	111745	168849	1	null
-161312	大肆	65536	22823	3	{d=6}
-161313	覆辙	65536	35206	3	{n=2}
-161314	曲比	65536	26354	3	{nr=0}
-161315	大肉	65536	22823	3	{n=0}
-161316	长期以来	65536	161333	3	{l=33}
-161317	辣子	124045	36771	2	{n=1}
-161318	平狄	65536	24179	3	{nr=0}
-161319	物欲	65536	29289	3	{n=1}
-161320	断简	91548	26029	1	null
-161321	遂意	65536	36930	3	{v=0}
-161322	长春市	65536	224726	3	{ns=6}
-161323	长方体	65536	224618	3	{n=0}
-161324	贴兜	65536	36148	3	{n=0}
-161325	长三乙	65536	218554	3	{j=4, nz=0}
-161326	长征一	139804	223026	1	null
-161327	长梁山	65536	225330	3	{ns=0}
-161328	长歌当	139590	226045	1	null
-161329	迂拙	65536	36802	3	{a=0}
-161330	醒木	65536	37266	3	{n=0}
-161331	长歌当哭	65536	161328	3	{i=0}
-161332	大肚	76851	22823	1	null
-161333	长期以	134847	224976	1	null
-161334	长征二号丙	65536	161302	3	{nz=0}
-161335	长征三	139805	223026	1	null
-161336	当票	65536	24403	3	{n=0}
-161337	滚边	65536	28378	3	{n=0}
-161338	大肠	73790	22823	2	{n=0}
-161339	长此以	136892	226069	1	null
-161340	长此以往	65536	161339	3	{i=2}
-161341	金融债	65536	231759	3	{n=1}
-161342	杀风	97082	26432	1	null
-161343	拉平	65536	25289	3	{v=0}
-161344	长毛兔	65536	226188	3	{n=0}
-161345	赘物	65536	36184	3	{n=0}
-161346	综述	65536	32508	3	{n=1, v=2, vn=1}
-161347	长江三峡	65536	161354	3	{n=0}
-161348	长沙县	65536	226378	3	{ns=2}
-161349	招降	83649	25307	2	{v=0}
-161350	小尾	83356	23567	1	null
-161351	长治久安	65536	161355	3	{i=3}
-161352	脸上	121149	33080	2	{n=1, s=22}
-161353	更进	101928	26356	1	null
-161354	长江三	137570	226320	1	null
-161355	长治久	137918	226412	1	null
-161356	鄙吝	65536	37145	3	{a=0}
-161357	著称	65536	33879	3	{v=11}
-161358	长泰县	65536	226465	3	{ns=0}
-161359	长流水	65536	226546	3	{n=0}
-161360	小屈	65536	23567	3	{nr=0}
-161361	长清县	65536	226742	3	{ns=1}
-161362	长滩峡	65536	226970	3	{ns=0}
-161363	小屋	65536	23567	3	{n=4}
-161364	长生不	128598	228560	1	null
-161365	汤阴	106582	27748	1	null
-161366	拉床	65536	25289	3	{n=0}
-161367	长生不老	65536	161364	3	{i=1}
-161368	酣梦	65536	37219	3	{n=0}
-161369	遂愿	65536	36930	3	{v=0}
-161370	淡薄	65536	28129	3	{a=14, an=0}
-161371	更迭	65536	26356	3	{v=1, vn=3}
-161372	钦南	139021	38054	1	null
-161373	镖局	65536	38230	3	{n=0}
-161374	长白参	65536	228910	3	{n=1}
-161375	指示	95967	25351	2	{n=39, v=14, vn=6}
-161376	大胆	65536	22823	3	{a=19, ad=40}
-161377	长白山区	65536	163597	3	{ns=0}
-161378	跌幅	65536	36300	3	{n=5}
-161379	监控	115618	30417	2	{v=3, vn=22}
-161380	波特	108053	27874	1	null
-161381	长盛不	126454	229004	1	null
-161382	长盛不衰	65536	161381	3	{l=1}
-161383	贝尔莫	125863	175616	1	null
-161384	配电网	65536	214333	3	{n=0}
-161385	长眠不	124120	229073	1	null
-161386	长眠不醒	65536	161385	3	{i=1}
-161387	长短句	65536	229278	3	{n=0}
-161388	耐性	65536	32784	3	{n=1}
-161389	钓公	65536	38035	3	{n=4}
-161390	长篇大论	65536	161392	3	{i=1}
-161391	醒来	65536	37266	3	{v=3}
-161392	长篇大	125620	230264	1	null
-161393	统供	114574	32479	1	null
-161394	菜子饼	65536	193206	3	{n=0}
-161395	粮倌	65536	31918	3	{n=0}
-161396	蹄灯	65536	36420	3	{n=0}
-161397	赞佩	65536	36190	3	{v=1, vn=1}
-161398	大胜	65536	22823	3	{v=0}
-161399	干瘦	65536	24178	3	{z=1}
-161400	钓具	65536	38035	3	{n=0}
-161401	小山	83497	23567	2	{n=3}
-161402	都市型	65536	164040	3	{b=1}
-161403	干瘪	78857	24178	2	{a=1}
-161404	极致	65536	26497	3	{n=0}
-161405	长篇小说	65536	162136	3	{l=16}
-161406	长线产	139710	231024	1	null
-161407	长线产品	65536	161406	3	{n=0}
-161408	教委	65536	25945	3	{j=10, n=0}
-161409	长统袜	65536	231056	3	{n=0}
-161410	曲水	93829	26354	2	{n=0}
-161411	放养	65536	25918	3	{v=4}
-161412	永生	100016	27704	2	{d=1, n=0, nz=0, v=1, vn=1}
-161413	长臂猿	65536	231795	3	{n=0}
-161414	长舌妇	65536	231869	3	{n=0}
-161415	挂记	65536	25346	3	{v=0}
-161416	钠灯	65536	38048	3	{n=0}
-161417	长葛市	65536	232460	3	{ns=1}
-161418	长话短说	65536	161419	3	{i=0}
-161419	长话短	125590	234382	1	null
-161420	裹胁	65536	35065	3	{v=0}
-161421	长距离	65536	234894	3	{d=3}
-161422	长途汽车	129975	161428	2	{l=4}
-161423	组织胺	65536	172048	3	{n=0}
-161424	长途汽车站	65536	161422	3	{n=1}
-161425	家长	85608	23478	2	{n=29}
-161426	读入	65536	35835	3	{v=0}
-161427	好高	65574	22909	1	null
-161428	长途汽	124712	235461	1	null
-161429	永田	65536	27704	3	{nr=0}
-161430	报批	65536	25253	3	{v=0, vn=0}
-161431	长途电话	65536	163660	3	{l=13, n=0}
-161432	长途跋涉	65536	169954	3	{i=2}
-161433	菌种	65536	33740	3	{n=1}
-161434	称呼	65536	31216	3	{n=1, v=1, vn=0}
-161435	耍心	115269	32781	1	null
-161436	避实就	124426	166917	1	null
-161437	长野县	65536	235903	3	{ns=0}
-161438	长镜头	65536	236813	3	{n=0}
-161439	小岗	80426	23567	2	{ns=0}
-161440	长长的	65536	236848	3	{z=6}
-161441	波状	108792	27874	1	null
-161442	记分牌	65536	189095	3	{n=0}
-161443	小岛	65536	23567	3	{n=3, nr=0}
-161444	转播权	65536	216871	3	{n=7}
-161445	长须鲸	65536	237612	3	{n=0}
-161446	长颈鹿	65536	237625	3	{n=5}
-161447	虾皮	65536	34430	3	{n=0}
-161448	推求	65536	25512	3	{v=0}
-161449	睡莲	65536	30561	3	{n=0}
-161450	补给站	65536	210511	3	{n=0}
-161451	大脑	76022	22823	2	{n=11}
-161452	接气	65536	25509	3	{a=0}
-161453	曲江	100366	26354	2	{ns=0}
-161454	暗喜	65536	26263	3	{v=0}
-161455	肢解	65536	32930	3	{v=1}
-161456	大脖	76856	22823	1	null
-161457	莱芒	121585	33713	1	null
-161458	长驱直	140622	238114	1	null
-161459	长驱直入	65536	161458	3	{i=0}
-161460	大脚	65536	22823	3	{n=0}
-161461	此案	65536	27492	3	{r=13}
-161462	轧钢机	65536	173416	3	{n=0}
-161463	长鼻目	65536	239340	3	{n=0}
-161464	门可罗	122873	214622	1	null
-161465	门可罗雀	65536	161464	3	{i=2}
-161466	长征二	139807	223026	1	null
-161467	莱芜	125775	33713	2	{ns=0}
-161468	门外汉	65536	215941	3	{l=0, n=2}
-161469	门头沟	140166	215971	1	null
-161470	招集	65536	25307	3	{v=0}
-161471	放冷	86328	25918	1	null
-161472	门头沟区	65536	161469	3	{ns=1}
-161473	门巴族	65536	217187	3	{nz=1}
-161474	山系	65536	23665	3	{n=0}
-161475	门市部	65536	217201	3	{n=0}
-161476	开国	65536	24320	3	{b=1, vn=1}
-161477	花花绿	116248	220219	1	null
-161478	读写	131759	35835	1	null
-161479	过街楼	65536	225095	3	{n=0}
-161480	营业税	65536	168703	3	{n=10}
-161481	浅见	65536	27973	3	{n=0}
-161482	门庭冷落	65536	161490	3	{i=1}
-161483	柳江	65536	26611	3	{n=0}
-161484	拉开	65536	25289	3	{v=44}
-161485	暗喻	65536	26263	3	{n=0, v=0}
-161486	辅导	135242	36741	2	{v=7, vn=2}
-161487	门庭若市	65536	174080	3	{i=1}
-161488	门当户	137948	217538	1	null
-161489	曲沃	65536	26354	3	{ns=0}
-161490	门庭冷	127629	217372	1	null
-161491	条状	65536	26465	3	{n=0}
-161492	巴陵	71482	24052	2	{ns=0}
-161493	门当户对	65536	161488	3	{i=1}
-161494	定音	65545	23450	1	null
-161495	贴切	65536	36148	3	{a=1}
-161496	急起	82174	24613	1	null
-161497	耍态	121568	32781	1	null
-161498	粘附	65536	31896	3	{v=0}
-161499	门户之	126238	218278	1	null
-161500	年老	89123	24180	2	{a=0, v=3, vn=0}
-161501	整训	65536	25972	3	{v=0}
-161502	迟延	65536	36831	3	{v=0}
-161503	门户之见	65536	161499	3	{i=0}
-161504	缴送	65536	32564	3	{v=0}
-161505	门拉手	65536	218424	3	{n=0}
-161506	蚕桑	65536	34453	3	{n=0}
-161507	门捷列	138681	218598	1	null
-161508	门捷列夫	65536	161507	3	{nr=1}
-161509	穿巡	65536	31359	3	{v=1}
-161510	门牌号	65536	222395	3	{n=1}
-161511	老爷车	65536	214680	3	{n=0}
-161512	门阵列	65536	231588	3	{n=0}
-161513	门静脉	65536	231880	3	{n=0}
-161514	闪击战	65536	168359	3	{n=0}
-161515	贬斥	65536	36140	3	{v=0}
-161516	门诊所	65536	228921	3	{n=0}
-161517	航空母	114901	173893	1	null
-161518	闪烁生辉	65536	170662	3	{l=1}
-161519	大腕	65536	22823	3	{n=1}
-161520	闪电战	65536	177377	3	{n=0}
-161521	闪烁其词	65536	161533	3	{i=0}
-161522	狼群	65536	29436	3	{n=0}
-161523	计划性	65536	170367	3	{n=2}
-161524	改良	97903	25913	2	{v=4, vn=3}
-161525	覆盖面	65536	154974	3	{n=3}
-161526	门面房	65536	231889	3	{n=1}
-161527	闪光弹	65536	168181	3	{n=0}
-161528	逻辑学	65536	158578	3	{n=1}
-161529	闪速炉	65536	184267	3	{n=0}
-161530	家门	84378	23478	2	{n=15, s=0}
-161531	葱葱	65536	33905	3	{z=0}
-161532	排版	65536	25490	3	{v=3, vn=0}
-161533	闪烁其	125732	176237	1	null
-161534	闭元音	65536	169817	3	{n=0}
-161535	板油	65536	26495	3	{n=0}
-161536	赵李	128591	36213	1	null
-161537	开场	85040	24320	2	{v=4, vn=2}
-161538	放出	65536	25918	3	{v=1}
-161539	貂皮	130190	35970	2	{n=0}
-161540	战幕	65536	25112	3	{n=3}
-161541	闭关自	138112	169865	1	null
-161542	遮光片	65536	160749	3	{n=0}
-161543	收信	97681	25910	1	null
-161544	闭关自守	65536	161541	3	{i=3}
-161545	放刁	65536	25918	3	{v=0}
-161546	闭关锁国	65536	166428	3	{i=0}
-161547	环抱	65536	29615	3	{v=3, vn=0}
-161548	情随	93248	24773	1	null
-161549	芦笋	65536	33446	3	{n=0}
-161550	自鸣钟	65536	226643	3	{n=0}
-161551	耶酥	65536	32822	3	{n=0}
-161552	欢笑	103025	27426	2	{v=4, vn=1}
-161553	闭合电	125222	170526	1	null
-161554	熟橡	100181	29087	1	null
-161555	大腹	79821	22823	1	null
-161556	歌星	65536	27468	3	{n=3}
-161557	闭合电路	65536	161553	3	{l=0}
-161558	工细	65536	24037	3	{a=0}
-161559	邢台市	65536	160418	3	{ns=3}
-161560	时下	65536	26102	3	{n=0, t=9}
-161561	大腿	65536	22823	3	{n=1}
-161562	时不	99800	26102	1	null
-161563	芦笙	65536	33446	3	{n=0}
-161564	闭月羞	128108	175390	1	null
-161565	闭月羞花	65536	161564	3	{i=1}
-161566	约翰	122487	32422	1	null
-161567	柳河	65536	26611	3	{ns=0}
-161568	闭目塞	140021	179460	1	null
-161569	闭目塞听	65536	161568	3	{i=0}
-161570	战平	65536	25112	3	{v=0}
-161571	闭路电	126302	185349	1	null
-161572	闭路电视	65536	161571	3	{n=1}
-161573	闭门思过	65536	161587	3	{i=0}
-161574	闭门谢客	65536	172856	3	{i=0}
-161575	读出	65536	35835	3	{v=1}
-161576	闭幕会	65536	173163	3	{n=2}
-161577	闭门造车	65536	173878	3	{i=0}
-161578	闭音节	65536	187913	3	{n=0}
-161579	赋有	65536	36171	3	{v=0}
-161580	问事处	65536	194241	3	{n=0}
-161581	问候声	65536	194639	3	{n=2}
-161582	问卷调	134986	195501	1	null
-161583	问卷调查	65536	161582	3	{l=2}
-161584	稻苗	65536	31291	3	{n=0}
-161585	跪拜	65536	36330	3	{v=1}
-161586	象形	130852	35937	2	{n=0}
-161587	闭门思	124766	187390	1	null
-161588	问寒问	135328	197640	1	null
-161589	诉讼费	65536	168247	3	{n=3}
-161590	问寒问暖	65536	161588	3	{i=4}
-161591	稻苞	106558	31291	1	null
-161592	放到	65536	25918	3	{v=19}
-161593	鉴别	139947	37492	2	{v=6, vn=7}
-161594	金口玉	124525	218533	1	null
-161595	置评	65536	32622	3	{v=1}
-161596	荡秋	128231	33633	1	null
-161597	箭靶	118850	31661	1	null
-161598	锤子	65536	38180	3	{n=0}
-161599	问心无	136729	198649	1	null
-161600	问心无愧	65536	161599	3	{i=0}
-161601	礼单	65536	31036	3	{n=0}
-161602	缓步	65536	32531	3	{d=1}
-161603	问心有愧	65536	161896	3	{l=0}
-161604	问柳寻	128150	200745	1	null
-161605	小崽	83501	23567	1	null
-161606	记录槽	65536	192502	3	{n=2}
-161607	问柳寻花	65536	161604	3	{i=0}
-161608	推波	95910	25512	1	null
-161609	问答题	65536	205706	3	{n=0}
-161610	裹腿	65536	35065	3	{n=0}
-161611	蔗糖	65536	34071	3	{n=0}
-161612	租赁	119558	31199	2	{v=15, vd=0, vn=3}
-161613	誊写钢	123561	152823	1	null
-161614	推注	89212	25512	1	null
-161615	问讯处	65536	209893	3	{n=0}
-161616	问询处	65536	209944	3	{n=0}
-161617	象征	129632	35937	2	{n=8, v=17, vn=3}
-161618	时久	97858	26102	1	null
-161619	问长问	130920	212405	1	null
-161620	莱茵	122016	33713	2	{ns=1}
-161621	问长问短	65536	161619	3	{i=1}
-161622	断粮	65536	26029	3	{v=2}
-161623	闯关夺隘	65536	164474	3	{i=0}
-161624	闯江湖	65536	169605	3	{v=0}
-161625	蝗莺	65536	34647	3	{n=2}
-161626	邵阳市	65536	177445	3	{ns=3}
-161627	邯郸市	65536	158983	3	{ns=2}
-161628	闯关东	65536	162713	3	{v=0}
-161629	闰年	65536	38384	3	{n=0}
-161630	闲不住	65536	198400	3	{l=4}
-161631	闲工夫	65536	202456	3	{n=0}
-161632	闲庭信	134140	202656	1	null
-161633	闲庭信步	65536	161632	3	{i=0}
-161634	闲情逸	128369	203192	1	null
-161635	时乖	83869	26102	1	null
-161636	迫在	127414	36843	1	null
-161637	闲情逸致	65536	161634	3	{i=0}
-161638	钩心	134327	38057	1	null
-161639	联络部	65536	208459	3	{n=0}
-161640	稀稀	115562	31232	1	null
-161641	柳泽	65536	26611	3	{nr=0}
-161642	闲杂人	140052	204853	1	null
-161643	醉乡	65536	37257	3	{n=0}
-161644	闲杂人员	65536	161642	3	{n=0}
-161645	开垦	65536	24320	3	{v=5, vn=0}
-161646	春假	65536	26149	3	{t=0}
-161647	置诸	105319	32622	1	null
-161648	炮舰	109757	28846	2	{n=0}
-161649	触怒	65536	35302	3	{v=2}
-161650	通信处	65536	213037	3	{n=0}
-161651	闲磕牙	65536	209352	3	{l=0}
-161652	葡萄胎	65536	158026	3	{n=0}
-161653	闲言碎语	65536	161660	3	{i=0}
-161654	猪下	106780	29482	1	null
-161655	篾黄	65536	31742	3	{n=0}
-161656	闲言闲语	65536	169184	3	{n=0}
-161657	间不容	140202	176833	1	null
-161658	暗器	65536	26263	3	{n=0}
-161659	间不容发	65536	161657	3	{l=0}
-161660	闲言碎	125832	213747	1	null
-161661	大臣	65536	22823	3	{n=38}
-161662	间奏曲	65536	179715	3	{n=0}
-161663	纹银	65536	32441	3	{n=0}
-161664	定额	65536	23450	3	{d=1, n=4, v=0, vn=0}
-161665	间接推理	65536	161676	3	{l=0}
-161666	天色	65536	22825	3	{n=1}
-161667	汤面	65536	27748	3	{n=0}
-161668	大自	71258	22823	1	null
-161669	间接肥料	65536	169097	3	{l=0}
-161670	间接选举	65536	173037	3	{l=0}
-161671	炮艇	65536	28846	3	{n=0}
-161672	目指	110300	30446	1	null
-161673	间断性	65536	182881	3	{b=3}
-161674	间谍网	65536	192705	3	{n=0}
-161675	闵行	140376	38389	1	null
-161676	间接推	131963	182361	1	null
-161677	干眼	78958	24178	1	null
-161678	大致	65766	22823	2	{b=0, d=7}
-161679	间歇泉	65536	184315	3	{n=0}
-161680	蛋松	65536	34507	3	{n=0}
-161681	干着	84498	24178	1	null
-161682	闵行区	65536	161675	3	{ns=1}
-161683	营业站	65536	168703	3	{n=2}
-161684	报捷	65536	25253	3	{v=1}
-161685	闷声不	139977	167920	1	null
-161686	闷声不响	65536	161685	3	{l=0}
-161687	通俗性	65536	213027	3	{n=0}
-161688	时事	65536	26102	3	{n=1}
-161689	闷头儿	65536	167988	3	{d=0}
-161690	成效	65536	25104	3	{n=90}
-161691	闷子车	65536	168528	3	{n=0}
-161692	诲淫	117888	35826	1	null
-161693	酌定	65536	37196	3	{v=0}
-161694	表面积	65536	215968	3	{n=0}
-161695	大舅	76867	22823	2	{n=0}
-161696	闷罐车	65536	177744	3	{n=0}
-161697	通讯处	65536	228347	3	{n=4}
-161698	稻草	120818	31291	2	{n=1}
-161699	蝴蝶谷	65536	151293	3	{ns=0}
-161700	耽误	65536	32829	3	{v=7}
-161701	继续	65536	32487	3	{v=560, vn=7}
-161702	大舌	77409	22823	1	null
-161703	肾衰	115104	32958	1	null
-161704	每户	65536	27599	3	{r=7}
-161705	观音竹	65536	196482	3	{n=0}
-161706	片酬	65536	29255	3	{n=3}
-161707	成教	65536	25104	3	{j=1}
-161708	算卦	65536	31639	3	{v=0}
-161709	评论界	65536	210336	3	{n=2}
-161710	郴州	135055	37108	2	{ns=2}
-161711	避难权	65536	182053	3	{n=1}
-161712	闷葫芦	65536	179051	3	{l=0}
-161713	推测	65536	25512	3	{v=1, vn=0}
-161714	闷闷不	141669	183543	1	null
-161715	重力场	65536	216833	3	{n=1}
-161716	方兴	93155	26041	1	null
-161717	闷闷不乐	65536	161714	3	{i=1}
-161718	闹乱子	65536	200335	3	{v=0}
-161719	闹事区	65536	200361	3	{n=1}
-161720	纪念会	65536	157968	3	{n=2}
-161721	闹别扭	65536	201289	3	{v=0}
-161722	抗衡	65536	25239	3	{v=3, vn=0}
-161723	秦篆	65536	31206	3	{n=0}
-161724	苗床	65536	33495	3	{n=0}
-161725	格里	91243	26684	1	null
-161726	署长	65536	32626	3	{n=6}
-161727	闹名利	65536	201771	3	{l=0}
-161728	闹哄哄	65536	201954	3	{z=0}
-161729	天花	80689	22825	2	{n=0}
-161730	成数	65536	25104	3	{n=0}
-161731	续编	65536	32493	3	{n=0, v=0}
-161732	话务班	65536	169166	3	{n=0}
-161733	闹嚷嚷	65536	202453	3	{z=0}
-161734	闹市区	65536	204320	3	{n=1, s=1}
-161735	时人	65536	26102	3	{n=0}
-161736	闹情绪	128964	205027	2	{v=0}
-161737	闹情绪者	65536	161736	3	{n=1}
-161738	闹意气	65536	205101	3	{l=0}
-161739	闹新房	65536	206286	3	{l=0}
-161740	闹洞房	65536	208188	3	{l=0}
-161741	闹灾荒	65536	209052	3	{l=0}
-161742	闹着玩	65536	210782	3	{v=0}
-161743	闹笑话	65536	211759	3	{l=0}
-161744	闹翻天	65536	213017	3	{l=0}
-161745	疯长	65536	30127	3	{v=0}
-161746	家雀	65536	23478	3	{n=0}
-161747	逛逛	65536	36891	3	{v=1}
-161748	闹肚子	65536	213176	3	{v=0}
-161749	接洽	65536	25509	3	{v=0}
-161750	重力坝	65536	216833	3	{n=0}
-161751	闹脾气	65536	213340	3	{l=0}
-161752	闹闹哄哄	65536	161754	3	{z=0}
-161753	成文	86272	25104	2	{v=0}
-161754	闹闹哄	140052	218647	1	null
-161755	茧绸	65536	33575	3	{n=0}
-161756	闹闹轰轰	65536	176774	3	{z=0}
-161757	闹革命	65536	219015	3	{v=0}
-161758	赣江	65536	36195	3	{ns=0}
-161759	情面	65536	24773	3	{n=1}
-161760	永登	65536	27704	3	{ns=2}
-161761	闹风潮	65536	219372	3	{l=0}
-161762	急躁	65536	24613	3	{a=1}
-161763	逢年	121765	36898	1	null
-161764	通用性	65536	222580	3	{n=0}
-161765	闹饥荒	65536	219523	3	{v=0}
-161766	接济	65536	25509	3	{v=3, vn=0}
-161767	歌曲	87360	27468	2	{n=46}
-161768	闻名中外	65536	161784	3	{l=1}
-161769	闺女	65536	38394	3	{n=5}
-161770	闻名于世	65536	161881	3	{l=3}
-161771	玩艺	65536	29609	3	{n=0}
-161772	砂田	65536	30722	3	{n=0}
-161773	小工	65536	23567	3	{n=0}
-161774	闻喜县	65536	165055	3	{ns=3}
-161775	小巧	77260	23567	2	{a=0}
-161776	时代	95825	26102	2	{n=219, t=0}
-161777	时令	90540	26102	2	{n=1}
-161778	闻所未	123388	168291	1	null
-161779	小巫	71616	23567	1	null
-161780	闻名遐尔	65536	178715	3	{i=0}
-161781	航空法	65536	173893	3	{n=0}
-161782	绞手	65536	32478	3	{n=0}
-161783	闻所未闻	65536	161778	3	{i=0}
-161784	闻名中	138962	164656	1	null
-161785	闻者足	136684	175912	1	null
-161786	腐竹	65536	33104	3	{n=0}
-161787	干瞪	78591	24178	1	null
-161788	教子	91954	25945	1	null
-161789	挂账	65536	25346	3	{v=3, vn=0}
-161790	闻者足戒	65536	161785	3	{i=0, l=0}
-161791	小巷	65536	23567	3	{n=7}
-161792	闻讯而	135328	178898	1	null
-161793	推涛	96764	25512	1	null
-161794	纠错	112353	32416	2	{v=0, vn=0}
-161795	粮农	65536	31918	3	{j=1, n=0}
-161796	时价	65536	26102	3	{n=0}
-161797	闻讯而来	65536	161792	3	{l=0}
-161798	闻过则	139883	179946	1	null
-161799	闻过则喜	65536	161798	3	{i=0}
-161800	时任	65536	26102	3	{v=4}
-161801	闻风丧	128841	182257	1	null
-161802	小市	79227	23567	1	null
-161803	成方	65536	25104	3	{n=0, v=0}
-161804	月坛	65536	26376	3	{ns=3}
-161805	苔藓	122062	33492	2	{n=1}
-161806	蒋管	128971	33931	1	null
-161807	闻风丧胆	65536	161801	3	{i=0}
-161808	闻风而动	65536	174574	3	{i=3}
-161809	艳羡	65536	33395	3	{v=0, vn=1}
-161810	教学	91419	25945	2	{n=34, v=2, vn=30}
-161811	闻鸡起	128502	183620	1	null
-161812	闻鸡起舞	65536	161811	3	{i=1}
-161813	闽侯县	65536	162369	3	{ns=0}
-161814	阀座	65536	38400	3	{n=0}
-161815	纺锤	119098	32442	2	{n=0}
-161816	缩头	112041	32553	2	{n=1}
-161817	综采	65536	32508	3	{j=0, vn=5}
-161818	阅报栏	65536	166516	3	{n=5}
-161819	阁下	65536	38401	3	{n=10}
-161820	大节	65536	22823	3	{n=0}
-161821	阅兵场	65536	162116	3	{n=0}
-161822	洪荒	65536	27946	3	{n=0}
-161823	阅览室	65536	176535	3	{n=19}
-161824	纺锭	65536	32442	3	{n=1}
-161825	歌本	65536	27468	3	{n=0}
-161826	玩花	109498	29609	1	null
-161827	条理	98997	26465	2	{n=0}
-161828	阅读器	65536	177098	3	{n=0}
-161829	镖师	65536	38230	3	{n=0}
-161830	阈值	65536	38408	3	{n=0}
-161831	阉人	65536	38409	3	{n=0}
-161832	战役	90891	25112	2	{n=42}
-161833	阎家庄	65536	161856	3	{ns=0}
-161834	终年	65536	32456	3	{d=1, n=4}
-161835	组团	65536	32452	3	{v=1, vd=0, vn=0}
-161836	阎罗王	65536	170977	3	{n=0}
-161837	阐发	65536	38416	3	{v=2, vn=0}
-161838	焦头	104112	28966	1	null
-161839	蒜薹	65536	33948	3	{n=1}
-161840	阑尾	133031	38417	2	{n=0}
-161841	诉状	65536	35785	3	{n=2}
-161842	数见	98591	25968	1	null
-161843	方凳	65536	26041	3	{n=0}
-161844	阎王殿	65536	167957	3	{n=0}
-161845	阑尾炎	65536	161840	3	{n=1}
-161846	物流	65536	29289	3	{j=0, n=2, vn=1}
-161847	阒寂	135768	38418	1	null
-161848	阒寂无	139084	161847	1	null
-161849	警察署	65536	201876	3	{n=2}
-161850	网球馆	65536	194328	3	{n=0}
-161851	果不	103180	26524	1	null
-161852	阒寂无声	65536	161848	3	{i=0}
-161853	迁安	133061	36801	1	null
-161854	母教	65536	27597	3	{n=0}
-161855	猪仔	65536	29482	3	{n=0}
-161856	阎家	137637	38414	1	null
-161857	阔阔的	65536	181055	3	{z=1}
-161858	暗地	84333	26263	1	null
-161859	教宗	65536	25945	3	{n=0}
-161860	教官	65536	25945	3	{n=3}
-161861	小帽	65536	23567	3	{n=0}
-161862	阔叶林	65536	164129	3	{n=0}
-161863	统共	65536	32479	3	{d=1}
-161864	窗上	65536	31383	3	{s=1}
-161865	突袭	65536	31361	3	{v=0, vn=0}
-161866	阖家	139672	38422	1	null
-161867	大花	67167	22823	1	null
-161868	辈数	65536	36744	3	{n=0}
-161869	小幅	65536	23567	3	{b=2, d=2, n=0}
-161870	阖家团圆	65536	161914	3	{i=0}
-161871	投诉	94830	25237	2	{v=3, vn=9}
-161872	教室	65536	25945	3	{n=15}
-161873	村塾	65536	26449	3	{n=0}
-161874	巴音	71473	24052	1	null
-161875	阖家幸福	65536	163856	3	{l=3}
-161876	阖家欢乐	65536	167098	3	{l=2}
-161877	提格	78574	25552	1	null
-161878	股息	65536	32929	3	{n=1}
-161879	虫灾	65536	34411	3	{n=1}
-161880	成昆	81688	25104	1	null
-161881	闻名于	141780	164656	1	null
-161882	阙如	65536	38425	3	{v=0}
-161883	阜南县	65536	162237	3	{ns=1}
-161884	阜平县	65536	165081	3	{ns=0}
-161885	锣鼓声	65536	161028	3	{n=2}
-161886	练武	65536	32451	3	{v=1}
-161887	阜成门	65536	166006	3	{ns=0}
-161888	投诚	65536	25237	3	{v=0, vn=0}
-161889	提案	97072	25552	2	{n=15, v=0}
-161890	天荒	78606	22825	1	null
-161891	阜新市	65536	166934	3	{ns=0}
-161892	金鱼藻	65536	237118	3	{n=0}
-161893	讨人	131068	35752	1	null
-161894	花花肠	125386	220219	1	null
-161895	报摊	65536	25253	3	{n=0}
-161896	问心有	136732	198649	1	null
-161897	大苏	75078	22823	1	null
-161898	账外	65536	36134	3	{n=0}
-161899	演进	65536	28436	3	{v=1, vn=5}
-161900	而言	65536	32780	3	{u=37, v=0}
-161901	阜阳市	65536	179353	3	{ns=1}
-161902	肋骨	65536	32907	3	{n=2}
-161903	暗坝	65536	26263	3	{n=0}
-161904	春光	94969	26149	2	{n=5}
-161905	阡陌	65536	38433	3	{n=0}
-161906	情韵	65536	24773	3	{n=1}
-161907	放卫	91851	25918	1	null
-161908	选举法	65536	206528	3	{n=8}
-161909	衣冠禽	130777	187291	1	null
-161910	防不胜	123469	215584	1	null
-161911	锅台	65536	38149	3	{n=0}
-161912	罐车	65536	32592	3	{n=0}
-161913	狂奔	65536	29378	3	{v=1}
-161914	阖家团	139592	161866	1	null
-161915	锥度	65536	38181	3	{n=0}
-161916	小年	65536	23567	3	{t=2}
-161917	酬宾	65536	37228	3	{v=1, vn=0}
-161918	招领	65536	25307	3	{v=0}
-161919	防不胜防	65536	161910	3	{i=1}
-161920	逞强	65536	36894	3	{v=0}
-161921	平生	65536	24179	3	{n=4}
-161922	方剂	65536	26041	3	{n=0}
-161923	读卖	127852	35835	1	null
-161924	防化学兵	65536	164484	3	{l=0}
-161925	支系	65536	25903	3	{n=2}
-161926	莘莘	126278	33688	1	null
-161927	小广	81120	23567	1	null
-161928	防城港	137870	218081	2	{ns=3}
-161929	说不清	65536	200578	3	{l=8}
-161930	行李箱	65536	212694	3	{n=0}
-161931	收入	85073	25910	2	{n=265, v=47, vn=5}
-161932	小庄	65536	23567	3	{ns=0}
-161933	星相	65536	26143	3	{n=0}
-161934	楼门	65536	27004	3	{n=1}
-161935	果乡	65536	26524	3	{n=0}
-161936	防城港市	65536	161928	3	{ns=0}
-161937	防冻棚	65536	216526	3	{n=9}
-161938	平田	65536	24179	3	{nr=0}
-161939	防化兵	65536	216873	3	{n=0}
-161940	防寒服	65536	219109	3	{n=0}
-161941	防尘罩	65536	219179	3	{n=0}
-161942	防弹汽车	65536	161948	3	{n=0}
-161943	春兰	65536	26149	3	{n=1, nz=8}
-161944	防弹玻璃	65536	163802	3	{n=0}
-161945	政界	65536	25919	3	{n=13}
-161946	提梁	65536	25552	3	{n=0}
-161947	收兵	65536	25910	3	{v=0}
-161948	防弹汽	125232	219980	1	null
-161949	袖珍	129391	34966	2	{b=2}
-161950	防弹背心	65536	167147	3	{n=0}
-161951	防御工事	65536	164688	3	{n=0}
-161952	防微杜	133782	220097	1	null
-161953	收养	65536	25910	3	{v=2, vn=0}
-161954	讨价	130230	35752	2	{v=0}
-161955	闸刀	65536	38392	3	{n=0}
-161956	工联	88194	24037	2	{j=0}
-161957	防御区	65536	220084	3	{n=5}
-161958	防微杜渐	65536	161952	3	{i=2}
-161959	楼阁	65536	27004	3	{n=2}
-161960	教导	96746	25945	2	{v=4, vn=4}
-161961	狂妄	100793	29378	2	{a=0, an=0}
-161962	防患于未	132982	161970	1	null
-161963	考察队	124175	186457	2	{n=4}
-161964	防患于未然	65536	161962	3	{i=3, n=0}
-161965	礼品	115626	31036	2	{n=23}
-161966	闽东	65536	38397	3	{ns=1}
-161967	防患未然	65536	168270	3	{i=0}
-161968	防意如	139496	220450	1	null
-161969	广铁	65536	24191	3	{j=0}
-161970	防患于	135552	220342	1	null
-161971	端砚	65536	31471	3	{n=0}
-161972	误国	65536	35823	3	{v=1}
-161973	祖本	65536	31062	3	{n=0}
-161974	防意如城	65536	161968	3	{i=0}
-161975	排球	94545	25490	2	{n=31}
-161976	防护林带	65536	165962	3	{n=0}
-161977	渔捞	65536	28180	3	{n=0}
-161978	防撬门	65536	221375	3	{n=0}
-161979	讨伐	65536	35752	3	{v=1, vn=0}
-161980	防晒霜	65536	221797	3	{n=1}
-161981	防暑降温	65536	166825	3	{l=0}
-161982	葵花籽	65536	158569	3	{n=0}
-161983	小康	85457	23567	2	{n=93}
-161984	阔叶树	65536	164129	3	{n=0}
-161985	防染剂	65536	222182	3	{n=0}
-161986	繁复	65536	32321	3	{a=0, an=0}
-161987	算命	65536	31639	3	{v=4, vn=0}
-161988	继而	65536	32487	3	{c=8}
-161989	贞节	65536	36126	3	{n=0}
-161990	招风	91267	25307	2	{v=0}
-161991	穿心	107567	31359	1	null
-161992	防毒面	141139	223205	1	null
-161993	莲花	128412	33714	2	{n=0, ns=0, nz=2}
-161994	防毒面具	65536	161992	3	{l=0}
-161995	防暑药	65536	221860	3	{n=0}
-161996	走私船	65536	213752	3	{n=0}
-161997	急转	88265	24613	1	null
-161998	大茴	65549	22823	1	null
-161999	繁多	65536	32321	3	{a=5}
-162000	防沙林	65536	223404	3	{n=0}
-162001	防波堤	65536	223477	3	{n=0}
-162002	防洪工程	65536	163495	3	{n=0}
-162003	辅币	65536	36741	3	{n=1}
-162004	金鱼虫	65536	237118	3	{n=0}
-162005	防洪措施	65536	164972	3	{n=0}
-162006	平畴	81498	24179	1	null
-162007	防护堤	65536	220855	3	{n=0}
-162008	防洪设施	65536	175232	3	{n=0}
-162009	湖色	65536	28246	3	{n=0}
-162010	防渗墙	65536	223786	3	{n=3}
-162011	蜂巢	118181	34562	2	{n=0}
-162012	趁早	65536	36225	3	{d=0}
-162013	开外	65536	24320	3	{f=0, u=1}
-162014	足坛	65536	36275	3	{n=2}
-162015	猛虎	65536	29467	3	{n=3, nz=1}
-162016	防潮纸	65536	224129	3	{n=0}
-162017	野心家	65536	209151	3	{n=0}
-162018	防滑砖	65536	223972	3	{n=0}
-162019	开夜	73434	24320	1	null
-162020	节目表	65536	204468	3	{n=0}
-162021	迁就	65536	36801	3	{v=5, vn=0}
-162022	防洪堤	65536	223549	3	{n=0}
-162023	手工	94475	25163	2	{d=2, n=1}
-162024	防热层	65536	224512	3	{n=0}
-162025	手巧	65536	25163	3	{v=0}
-162026	防疫站	65536	225726	3	{n=0}
-162027	防盗器	65536	226026	3	{n=1}
-162028	防腐剂	65536	228707	3	{n=0}
-162029	计量经	124956	186684	1	null
-162030	大荔	78812	22823	1	null
-162031	果仁	65536	26524	3	{n=2}
-162032	开天	78768	24320	1	null
-162033	误场	65536	35823	3	{v=0}
-162034	防蚀剂	65536	230035	3	{n=0}
-162035	防火剂	65536	224382	3	{n=0}
-162036	蓬溪	129067	34028	1	null
-162037	滑跑	65536	28369	3	{v=0}
-162038	潜逃	65536	28508	3	{v=2}
-162039	艺术界	65536	168482	3	{n=5}
-162040	读友	65536	35835	3	{n=0}
-162041	迁居	65536	36801	3	{v=1, vn=0}
-162042	安设	65536	23433	3	{v=0}
-162043	开头	65536	24320	3	{n=4, v=1}
-162044	浅说	65536	27973	3	{n=0}
-162045	话剧界	65536	169108	3	{n=8}
-162046	村夫	65536	26449	3	{n=0}
-162047	防雨布	65536	234235	3	{n=0}
-162048	手巾	65536	25163	3	{n=0}
-162049	防震措	136008	234266	1	null
-162050	褐色	65536	35088	3	{n=0}
-162051	读取	65536	35835	3	{v=1, vn=0}
-162052	遗弃罪	65536	214150	3	{n=0}
-162053	防震措施	65536	162049	3	{n=0}
-162054	艺专	65536	33402	3	{j=1}
-162055	村头	65536	26449	3	{s=3}
-162056	终归	65536	32456	3	{d=4}
-162057	花边饺	65536	223555	3	{n=7}
-162058	防空兵	65536	226957	3	{n=0}
-162059	防霜林	65536	234287	3	{n=0}
-162060	统制	65536	32479	3	{vn=3}
-162061	防风林	65536	234721	3	{n=0}
-162062	防骄破	133681	235159	1	null
-162063	心土	65536	24515	3	{n=0}
-162064	蚊虫	65536	34442	3	{n=1}
-162065	贤明	65536	36132	3	{n=0}
-162066	防骄破满	65536	162062	3	{l=1}
-162067	汇票	65536	27719	3	{n=5}
-162068	阳信县	65536	192551	3	{ns=2}
-162069	阳光厅	65536	192911	3	{n=2}
-162070	联谊赛	65536	211833	3	{vn=1}
-162071	手帕	65536	25163	3	{n=0}
-162072	阳关大	125126	192953	1	null
-162073	阳关大道	65536	162072	3	{i=0}
-162074	春凳	65536	26149	3	{n=0}
-162075	阳刚之	134408	193120	1	null
-162076	阳刚之气	65536	162075	3	{l=0}
-162077	小引	65536	23567	3	{n=0}
-162078	阳城县	65536	194580	3	{ns=0}
-162079	阳奉阴	125262	194959	1	null
-162080	心地	65536	24515	3	{n=4}
-162081	过境费	65536	212851	3	{n=2}
-162082	安详	65536	23433	3	{a=6, an=0}
-162083	耍手	118229	32781	1	null
-162084	板滞	65536	26495	3	{a=1}
-162085	棉贩	101724	26825	1	null
-162086	时候	65536	26102	3	{n=179}
-162087	小弟	65536	23567	3	{n=0}
-162088	小张	82703	23567	1	null
-162089	莽草	65536	33725	3	{n=0}
-162090	示范课	65536	153264	3	{n=1}
-162091	阳奉阴违	65536	162079	3	{i=0}
-162092	舌战	65536	33292	3	{v=1, vn=0}
-162093	春分	92246	26149	2	{t=0}
-162094	阳平关	65536	196281	3	{ns=0}
-162095	苯胺	65536	33519	3	{n=0}
-162096	阳性植	132812	196717	1	null
-162097	萝芙	123597	33821	1	null
-162098	聘请	126081	32856	2	{v=32, vn=0}
-162099	暗堡	65536	26263	3	{n=0}
-162100	芽苗	115091	33469	1	null
-162101	阳性植物	65536	162096	3	{l=0}
-162102	阳新县	65536	198134	3	{ns=0}
-162103	锥形	65536	38181	3	{n=0}
-162104	银行制	65536	226239	3	{n=1}
-162105	阳春白雪	65536	162185	3	{i=1}
-162106	银行券	65536	226239	3	{n=0}
-162107	读后	129028	35835	1	null
-162108	急进	84668	24613	2	{a=0}
-162109	阳泉市	65536	199951	3	{ns=0}
-162110	心坎	65536	24515	3	{n=2}
-162111	阳电子	65536	202107	3	{n=0}
-162112	标致	65536	26631	3	{a=1, nz=1}
-162113	旧病	65536	26087	3	{n=1}
-162114	锐减	65536	38160	3	{v=5, vn=1}
-162115	采油工	65536	202903	3	{n=1}
-162116	阅兵	139491	38405	2	{vn=0}
-162117	蛇毒	65536	34503	3	{n=0}
-162118	阳石隘	65536	202809	3	{ns=2}
-162119	菌类	65536	33740	3	{n=0}
-162120	阳离子	65536	203265	3	{n=0}
-162121	时值	65536	26102	3	{v=2}
-162122	肝肠	122841	32925	1	null
-162123	阳谷县	65536	207997	3	{ns=0}
-162124	急迫	65536	24613	3	{a=2, ad=1}
-162125	条田	65536	26465	3	{j=0}
-162126	阳高县	65536	211742	3	{ns=0}
-162127	航空港	65536	173893	3	{n=2}
-162128	阴丹士	135616	210405	1	null
-162129	山羊	79851	23665	2	{n=1}
-162130	牧羊	113539	29287	2	{v=0, vn=1}
-162131	报收	65536	25253	3	{v=4}
-162132	蒸汽锤	65536	157350	3	{n=0}
-162133	紧接	112275	32039	2	{v=0}
-162134	收到	65536	25910	3	{v=85, vn=0}
-162135	阴丹士林	65536	162128	3	{n=0}
-162136	长篇小	125577	230264	1	null
-162137	阴凄凄	65536	211312	3	{z=0}
-162138	阴历年	65536	211762	3	{t=0}
-162139	阴囊炎	65536	212598	3	{n=0}
-162140	阴山背	140625	214045	1	null
-162141	年节	65536	24180	3	{n=0, t=4}
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-162143	阴山背后	65536	162140	3	{l=0}
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-162147	安谧	65536	23433	3	{a=0, an=0}
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-162152	阴性植物	65536	162150	3	{l=0}
-162153	遥想	65536	36965	3	{v=2}
-162154	讨便	129549	35752	1	null
-162155	阴晴寒	135902	216608	1	null
-162156	牧群	65536	29287	3	{n=0}
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-162158	树干	65536	26641	3	{n=3}
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-162160	肝胆	117356	32925	2	{n=6}
-162161	阴暗面	65536	216643	3	{n=0}
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-162163	阴有小	123536	216757	1	null
-162164	战情	65536	25112	3	{n=0}
-162165	碑铭	65536	30865	3	{n=1}
-162166	大菜	65536	22823	3	{n=1}
-162167	猪倌	65536	29482	3	{n=0}
-162168	阴有小雨	65536	162163	3	{l=3, n=0}
-162169	小影	65536	23567	3	{n=0}
-162170	推演	65536	25512	3	{v=0}
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-162173	阴极射	129732	216877	1	null
-162174	成本	93932	25104	2	{n=136}
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-162176	急速	65536	24613	3	{z=3}
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-162178	违法必	126297	172344	1	null
-162179	阴极射线	65536	162173	3	{l=0}
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-162183	跟上	65536	36319	3	{v=0}
-162184	阴森森	65536	217242	3	{z=1}
-162185	阳春白	123471	198251	1	null
-162186	跟不	135815	36319	1	null
-162187	阴沉沉	65536	218165	3	{z=1}
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-162190	此次	65536	27492	3	{r=124}
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-162192	阴电子	65536	220385	3	{n=0}
-162193	紧握	65536	32039	3	{v=0}
-162194	开始	65536	24320	3	{n=0, t=1, v=544, vn=5}
-162195	芽茶	65536	33469	3	{n=0}
-162196	诈病	65536	35784	3	{v=0}
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-162198	阴着儿	65536	220908	3	{n=0}
-162199	手底	94497	25163	1	null
-162200	收割	91411	25910	2	{v=4, vn=1}
-162201	阴离子	65536	221543	3	{n=0}
-162202	阴谋诡计	65536	174534	3	{i=0}
-162203	阴谋家	65536	226231	3	{n=0}
-162204	锐利	65536	38160	3	{a=3}
-162205	莽莽	65536	33725	3	{z=1}
-162206	阴转多	142095	227096	1	null
-162207	毒刑	65536	27602	3	{n=0}
-162208	阴转多云	65536	162206	3	{l=1}
-162209	阴道炎	65536	227327	3	{n=0}
-162210	成材	87620	25104	2	{v=7, vn=0}
-162211	阴错阳	138168	228549	1	null
-162212	村姑	65536	26449	3	{n=2}
-162213	强行	89930	24378	2	{d=10}
-162214	阴错阳差	65536	162211	3	{i=1}
-162215	村委	103197	26449	2	{j=0, n=0}
-162216	阴间多	142106	228768	1	null
-162217	肺病	65536	32954	3	{n=0}
-162218	触手	131183	35302	2	{n=0}
-162219	阴间多云	65536	162216	3	{l=2}
-162220	阴阳怪气	65536	166705	3	{i=1}
-162221	艺人	65536	33402	3	{n=3}
-162222	阴阴森	135362	228832	1	null
-162223	纠集	65536	32416	3	{v=0}
-162224	阴阴森森	65536	162222	3	{z=0}
-162225	阴险毒	125456	228885	1	null
-162226	小循	77287	23567	1	null
-162227	阴险毒辣	65536	162225	3	{l=0}
-162228	阴雨寡照	65536	162231	3	{l=1}
-162229	赞助	133192	36190	2	{v=42, vn=16}
-162230	阴雨连绵	65536	175540	3	{l=0}
-162231	阴雨寡	133197	229012	1	null
-162232	阵地战	65536	178374	3	{n=2}
-162233	肝脏	65536	32925	3	{n=1}
-162234	闸北	65536	38392	3	{ns=0}
-162235	肝脑	118365	32925	1	null
-162236	阵挛性	65536	181425	3	{n=0}
-162237	阜南	140444	38428	1	null
-162238	断编	91557	26029	1	null
-162239	大营	76876	22823	2	{ns=1}
-162240	阶下囚	65536	162395	3	{n=1}
-162241	阴阳人	65536	228831	3	{n=0}
-162242	阶梯形	65536	169215	3	{b=0}
-162243	阶段性	65536	169989	3	{b=0, n=13}
-162244	阶级性	65536	174839	3	{n=1}
-162245	阶级斗争	65536	163636	3	{l=3}
-162246	阻击战	65536	178013	3	{n=1}
-162247	阿什哈	138202	213123	1	null
-162248	毒刺	65536	27602	3	{n=0}
-162249	男丁	65536	30007	3	{n=0}
-162250	投资	95157	25237	2	{b=0, n=134, v=217, vn=229}
-162251	小心	76388	23567	2	{a=2, ad=1, v=5, vn=0}
-162252	肺痨	65536	32954	3	{n=0}
-162253	月夜	65536	26376	3	{n=1}
-162254	阿什哈巴	137752	162247	1	null
-162255	阿什哈巴德	65536	162254	3	{ns=3}
-162256	毒剂	65536	27602	3	{n=0}
-162257	阿伯丁	65536	213234	3	{n=0}
-162258	阿克苏河	65536	170461	3	{ns=0}
-162259	螟虫	65536	34719	3	{n=0}
-162260	钠玻	130449	38048	1	null
-162261	阿克莫拉	65536	170681	3	{ns=5}
-162262	票箱	65536	31080	3	{n=0}
-162263	阿克拉	65536	213774	3	{ns=0}
-162264	罚金	65536	32602	3	{n=1}
-162265	莲花落	65536	161993	3	{n=0}
-162266	阿其克	126372	213817	1	null
-162267	阿其克谷	139948	162266	1	null
-162268	阿其克谷地	65536	162267	3	{ns=3}
-162269	社会科	116546	151774	1	null
-162270	急遽	65536	24613	3	{a=0}
-162271	平白	83199	24179	2	{a=0, ad=0}
-162272	家风	65536	23478	3	{n=1}
-162273	阿劳龟	65536	214134	3	{n=0}
-162274	诚如	65536	35802	3	{v=1}
-162275	蝶蛹	65536	34678	3	{n=0}
-162276	缝隙	65536	32541	3	{n=4}
-162277	讨债	65536	35752	3	{vn=0}
-162278	阿勒泰	65536	214165	3	{ns=0}
-162279	换车	65536	25442	3	{v=0}
-162280	阿司匹	135763	214459	1	null
-162281	越南社	135326	175762	1	null
-162282	阿司匹林	65536	162280	3	{n=0}
-162283	讼词	65536	35772	3	{n=0}
-162284	蚊蝇	65536	34442	3	{n=1}
-162285	天蓝	67378	22825	2	{b=0}
-162286	成果	91270	25104	2	{b=1, n=287, nr=0, vn=0}
-162287	蝎虎	65536	34638	3	{n=0}
-162288	放哨	65536	25918	3	{v=1}
-162289	阿图什	65536	215233	3	{n=0}
-162290	阿城市	65536	215441	3	{ns=0}
-162291	竞驰	65536	31454	3	{a=1}
-162292	莲菜	65536	33714	3	{n=0}
-162293	男中	97230	30007	1	null
-162294	阿塞拜	132216	215585	1	null
-162295	苗情	65536	33495	3	{n=0}
-162296	砂眼	65536	30722	3	{n=0}
-162297	知之	108849	30693	1	null
-162298	山耳	87803	23665	1	null
-162299	金融司	65536	231759	3	{n=1}
-162300	赘瘤	65536	36184	3	{n=0}
-162301	毒副	106315	27602	1	null
-162302	阿塞拜疆	141454	162294	2	{ns=4}
-162303	阿塞拜疆共	140660	162302	1	null
-162304	阿塞拜疆共和	140038	162303	1	null
-162305	祸胎	65536	31096	3	{n=0}
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-162308	广阔	83593	24191	2	{a=54}
-162309	阿姆斯	133005	215945	1	null
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-162311	泥丸	65536	27877	3	{n=0}
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-162319	阿尔及利亚	65536	162328	3	{ns=57}
-162320	贡献	130196	36129	2	{n=213, v=16, vn=39}
-162321	母本	65536	27597	3	{n=0}
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-162323	报时	93426	25253	2	{v=0}
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-162328	阿尔及利	142197	166270	1	null
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-162330	秘诀	65536	31192	3	{n=2}
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-162332	萌芽	65536	33804	3	{v=4, vn=2}
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-162334	阿尔德亚	125494	169323	1	null
-162335	母机	65536	27597	3	{n=0}
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-162337	臀部	65536	33216	3	{n=0}
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-162341	港资	65536	28207	3	{j=0, n=2}
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-162344	母权	105563	27597	1	null
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-162349	趁机	65536	36225	3	{d=3}
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-162386	知交	65536	30693	3	{n=0}
-162387	阿布穆萨	138682	171972	1	null
-162388	挂载	65536	25346	3	{v=0}
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-162426	赏月	65536	36175	3	{v=0}
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-162428	阿拉伯叙利	142307	162684	1	null
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-162430	阿拉伯叙利亚共	140795	162429	1	null
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-162434	男人	112660	30007	2	{n=10}
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-162437	藐视	65536	34256	3	{v=1}
-162438	闸口	65536	38392	3	{n=0}
-162439	阿拉伯叙利亚共和	140176	162430	1	null
-162440	残余	65536	27531	3	{n=0}
-162441	泥人	65536	27877	3	{n=0}
-162442	滑车	100346	28369	2	{n=0}
-162443	连续性	65536	219608	3	{n=9}
-162444	荧荧	65536	33639	3	{z=0}
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-162446	男仆	65536	30007	3	{n=0}
-162447	阿拉伯埃及	141602	163686	1	null
-162448	钓鱼岛	65536	180605	3	{ns=0}
-162449	教工	65536	25945	3	{n=1}
-162450	滑轮	98967	28369	2	{n=0}
-162451	阿拉伯埃及共	140812	162447	1	null
-162452	都城	65536	37117	3	{n=0}
-162453	拉拉	90649	25289	2	{v=0}
-162454	整车	65536	25972	3	{n=2}
-162455	遮天蔽	132686	162765	1	null
-162456	阿拉伯埃及共和	140191	162451	1	null
-162457	盗贼	65536	30423	3	{n=1}
-162458	渔政	65536	28180	3	{j=0, n=2}
-162459	蜗行	121898	34583	1	null
-162460	阿拉伯埃及共和国	65536	162456	3	{ns=0}
-162461	苔衣	65536	33492	3	{n=0}
-162462	春卷	65536	26149	3	{n=2}
-162463	阿拉善盟	65536	164193	3	{ns=0}
-162464	每支	65536	27599	3	{r=2}
-162465	治装	65536	27835	3	{v=0}
-162466	足够	65536	36275	3	{a=1, v=20, vd=0, vn=6}
-162467	解放思	127811	204500	1	null
-162468	毒化	65536	27602	3	{v=0}
-162469	钩挂	65536	38057	3	{v=1}
-162470	阿拉斯加	65536	168332	3	{ns=0}
-162471	邦尼	65536	37030	3	{nz=0}
-162472	纪念刊	65536	157968	3	{n=0}
-162473	金华市	65536	218384	3	{ns=2}
-162474	电子束	65536	192405	3	{n=0}
-162475	阿拉木图	138410	168709	2	{ns=13}
-162476	阿拉木图市	65536	162475	3	{ns=0}
-162477	锻压	134684	38203	2	{n=0, vn=0}
-162478	拉拢	65536	25289	3	{v=0, vn=0}
-162479	砂石	65536	30722	3	{n=0}
-162480	藤本	123849	34276	1	null
-162481	神经衰	115740	206548	1	null
-162482	阿拉胡埃	137196	175294	1	null
-162483	蝇营	121869	34631	1	null
-162484	教师	89141	25945	2	{n=174}
-162485	阿拉胡埃拉	134242	162482	1	null
-162486	绳锯	117873	32499	1	null
-162487	年菜	65536	24180	3	{n=1}
-162488	阿拉胡埃拉湖	65536	162485	3	{ns=0}
-162489	阿摩尼	142377	218668	1	null
-162490	鉴赏家	65536	176733	3	{n=0}
-162491	砂矿	65536	30722	3	{n=0}
-162492	碑阴	65536	30865	3	{n=0}
-162493	训练班	65536	165407	3	{n=11}
-162494	纲领	118808	32434	2	{n=31}
-162495	战成	65536	25112	3	{v=0}
-162496	释义	65536	37322	3	{vn=0}
-162497	藻类	123855	34299	2	{n=0}
-162498	闪烁其辞	65536	161533	3	{i=0}
-162499	阿摩尼亚	65536	162489	3	{n=0}
-162500	阿斯匹	135986	218994	1	null
-162501	手心	65536	25163	3	{n=3}
-162502	讲习班	65536	179891	3	{n=0}
-162503	战战	93456	25112	1	null
-162504	知会	65536	30693	3	{v=0}
-162505	阿斯匹林	65536	162500	3	{n=0}
-162506	工艺	86570	24037	2	{n=45}
-162507	巴马	77393	24052	2	{ns=1}
-162508	阿斯塔纳	65536	163807	3	{ns=0}
-162509	盗走	65536	30423	3	{v=3}
-162510	阿斯马拉	65536	180727	3	{ns=0}
-162511	锡伯	134954	38177	1	null
-162512	山脉	65536	23665	3	{n=3}
-162513	山脊	65536	23665	3	{n=0}
-162514	阿昌族	65536	219087	3	{nz=1}
-162515	阿是穴	65536	219122	3	{n=0}
-162516	甜瓜	65536	29980	3	{n=1}
-162517	贼心	65536	36156	3	{n=0}
-162518	阿曼苏丹	140251	167735	1	null
-162519	续航	123092	32493	2	{vn=0}
-162520	阿曼苏丹国	65536	162518	3	{ns=0}
-162521	约莫	65536	32422	3	{d=0}
-162522	遵义	134728	36981	2	{ns=1}
-162523	手忙	81427	25163	1	null
-162524	迥然	137885	36837	2	{a=0, d=0}
-162525	阿根廷	141682	219644	2	{ns=37}
-162526	阿根廷共和	140267	162531	1	null
-162527	防水剂	65536	223303	3	{n=0}
-162528	心声	65536	24515	3	{n=11}
-162529	山脚	87822	23665	2	{n=1}
-162530	春去	89942	26149	1	null
-162531	阿根廷共	140882	162525	1	null
-162532	贼忒	130330	36156	1	null
-162533	藤条	65536	34276	3	{n=0}
-162534	阿曼湾	65536	219327	3	{n=0}
-162535	管理者	65536	197816	3	{n=20}
-162536	阿根廷共和国	65536	162526	3	{ns=0}
-162537	杂居	65536	26434	3	{v=1}
-162538	林林	99380	26519	1	null
-162539	阿比让市	65536	173125	3	{ns=1}
-162540	抽风	89274	25277	2	{v=0}
-162541	手快	65536	25163	3	{v=0}
-162542	股指	65536	32929	3	{j=2, n=0}
-162543	林果	104027	26519	2	{j=3, n=1}
-162544	针灸术	65536	179598	3	{n=0}
-162545	肠液	65536	32928	3	{n=0}
-162546	疯颠	97422	30127	1	null
-162547	缩小	65536	32553	3	{v=28, vn=0}
-162548	阿比托	65536	220567	3	{ns=4}
-162549	电子枪	65536	192405	3	{n=0}
-162550	母树	100091	27597	1	null
-162551	收发	97689	25910	2	{n=0, v=2, vn=1}
-162552	阿波罗	65536	220837	3	{nr=1, nz=1}
-162553	转型经	128492	213509	1	null
-162554	砂砾	65536	30722	3	{n=0}
-162555	阿片肽	65536	222218	3	{nz=2}
-162556	收取	65536	25910	3	{v=24, vn=2}
-162557	收受	65536	25910	3	{v=2}
-162558	盐度	65536	30416	3	{n=0}
-162559	阿瑟港	65536	222754	3	{ns=0}
-162560	錾子	65536	37694	3	{n=0}
-162561	总状	79348	24635	1	null
-162562	赏析	65536	36175	3	{v=0, vn=2}
-162563	接火	65536	25509	3	{v=0}
-162564	莲蓬	127017	33714	2	{n=0}
-162565	赞叹	135045	36190	2	{v=8, vn=0}
-162566	母校	65536	27597	3	{n=3}
-162567	抗议	65536	25239	3	{v=15, vn=5}
-162568	滚针	94747	28378	1	null
-162569	收口	65536	25910	3	{v=0}
-162570	表扬稿	65536	202410	3	{n=1}
-162571	条目	65536	26465	3	{n=26}
-162572	阿拉伯	141219	218252	2	{ns=86, nz=0}
-162573	阿皮亚	65536	223345	3	{n=0}
-162574	阳春砂	65536	198251	3	{n=0}
-162575	母株	65536	27597	3	{n=0}
-162576	透明性	65536	185320	3	{n=0}
-162577	阿科松	141240	224148	1	null
-162578	阿科松博	65536	162577	3	{ns=0}
-162579	时分	65536	26102	3	{n=6}
-162580	激荡	65536	28608	3	{v=3, vn=0}
-162581	阿米巴	65536	224822	3	{n=0}
-162582	男低	97242	30007	1	null
-162583	小意	82308	23567	1	null
-162584	赞同	65536	36190	3	{v=10, vn=4}
-162585	阿纳多	141245	225398	1	null
-162586	蝗蝻	65536	34647	3	{n=0}
-162587	金字招	130634	220441	1	null
-162588	楼顶	65536	27004	3	{n=0}
-162589	组委	123329	32452	1	null
-162590	缩尺	65536	32553	3	{n=0}
-162591	阿纳多卢	65536	162585	3	{nz=0}
-162592	阿维亚	126766	225463	1	null
-162593	河东	107071	27827	1	null
-162594	抗诉	65536	25239	3	{v=3, vn=0}
-162595	村子	65536	26449	3	{n=12}
-162596	心头	81580	24515	2	{n=0, s=14}
-162597	板烟	65536	26495	3	{n=0}
-162598	遂昌	137175	36930	1	null
-162599	手急	83958	25163	1	null
-162600	阿维亚诺	65536	162592	3	{ns=0}
-162601	阿美利	141452	225617	1	null
-162602	蚕沙	65536	34453	3	{n=0}
-162603	邮电局	65536	206221	3	{n=10}
-162604	阿美利加	65536	162601	3	{n=0}
-162605	开学	65536	24320	3	{v=3, vn=1}
-162606	阿联酋	65536	225815	3	{ns=6}
-162607	战技	87879	25112	1	null
-162608	阿肯色	138580	225906	2	{ns=0}
-162609	投身	65536	25237	3	{v=13}
-162610	阿肯色州	65536	162608	3	{ns=0}
-162611	阿萨伊	136089	226795	2	{nz=0}
-162612	郁郁寡	131607	175314	1	null
-162613	阿萨伊果	65536	162611	3	{n=0}
-162614	来不	102167	26469	1	null
-162615	山腰	65536	23665	3	{n=3}
-162616	穿戴	65536	31359	3	{n=0, v=0, vn=0}
-162617	村学	65536	26449	3	{n=0}
-162618	招魂	65536	25307	3	{v=0}
-162619	阿谀奉承	65536	162621	3	{i=0}
-162620	阿谀逢迎	65536	176662	3	{i=0}
-162621	阿谀奉	137404	228803	1	null
-162622	阿达纳	65536	229761	3	{ns=0}
-162623	来世	65536	26469	3	{t=0}
-162624	答非	116806	31572	1	null
-162625	阿迪达	136600	229805	1	null
-162626	此法	65536	27492	3	{r=2}
-162627	绵薄	65536	32501	3	{n=0}
-162628	湖蓝	65536	28246	3	{b=0}
-162629	战抖	65536	25112	3	{v=0}
-162630	阅卷	65536	38405	3	{v=0, vn=0}
-162631	阿迪达斯	65536	162625	3	{nz=4}
-162632	时刻	85770	26102	2	{d=23, n=60}
-162633	报本	93206	25253	1	null
-162634	断肢	65536	26029	3	{n=0}
-162635	安踏	65536	23433	3	{nz=0}
-162636	绝对零	119879	195155	1	null
-162637	阿通社	65536	229853	3	{j=2, nt=0}
-162638	暗娼	65536	26263	3	{n=0}
-162639	阿里安	65536	230287	3	{nz=2}
-162640	阿鲁巴岛	65536	162649	3	{ns=0}
-162641	接点	65536	25509	3	{n=0}
-162642	收听	65536	25910	3	{v=0, vn=1}
-162643	酬应	65536	37228	3	{v=0}
-162644	战报	65536	25112	3	{n=0}
-162645	阅历	65536	38405	3	{n=6, v=0}
-162646	每日	65536	27599	3	{nz=0, r=15}
-162647	提款	95898	25552	2	{v=4, vn=0}
-162648	村宅	65536	26449	3	{n=2}
-162649	阿鲁巴	138933	233028	2	{ns=0}
-162650	睡衣	65536	30561	3	{n=1}
-162651	村守	65536	26449	3	{nr=0}
-162652	遮阳帽	65536	178391	3	{n=0}
-162653	来临	65536	26469	3	{v=52, vn=5}
-162654	开宗	84020	24320	1	null
-162655	遵从	65536	36981	3	{v=1, vn=0}
-162656	阿鲁沙省	65536	166398	3	{ns=0}
-162657	政研	94630	25919	1	null
-162658	干笑	65536	24178	3	{v=0}
-162659	邻县	65536	37051	3	{n=1}
-162660	长安县	65536	222010	3	{ns=0}
-162661	铃声	65536	38083	3	{n=2}
-162662	鄙夷	65536	37145	3	{v=0}
-162663	每时	99020	27599	1	null
-162664	开审	65536	24320	3	{v=0}
-162665	大藏	70078	22823	2	{n=7, nt=0}
-162666	陀螺	65536	38464	3	{n=0}
-162667	村官	65536	26449	3	{n=0}
-162668	股骨颈	65536	176783	3	{n=0}
-162669	果儿	65536	26524	3	{n=0}
-162670	附城镇	65536	190308	3	{ns=0}
-162671	旧石	98448	26087	1	null
-162672	浓郁	65536	27987	3	{a=20}
-162673	燕雀	110501	29141	2	{n=0}
-162674	心如	90745	24515	1	null
-162675	附属品	65536	191476	3	{n=0}
-162676	来之	103644	26469	1	null
-162677	附庸国	65536	192078	3	{n=0}
-162678	附庸风雅	65536	179526	3	{i=0}
-162679	附着力	65536	198358	3	{n=1}
-162680	筹集	65536	31609	3	{v=44, vn=6}
-162681	附睾炎	65536	198420	3	{n=0}
-162682	附赘悬	132571	204014	1	null
-162683	繁密	65536	32321	3	{a=0}
-162684	阿拉伯叙	141395	162572	1	null
-162685	遥指	65536	36965	3	{v=0}
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-162687	际遇	65536	38469	3	{n=1}
-162688	超短裙	65536	214316	3	{n=0}
-162689	钳子	65536	38067	3	{n=0}
-162690	睡袋	65536	30561	3	{n=0}
-162691	陆丰市	65536	182385	3	{ns=0}
-162692	睡袍	65536	30561	3	{n=0}
-162693	肘部	65536	32920	3	{n=1}
-162694	陆埠镇	65536	184865	3	{ns=0}
-162695	陆家嘴	65536	185847	3	{ns=4}
-162696	端端	114107	31471	1	null
-162697	陆川县	65536	186398	3	{ns=0}
-162698	陆战队	65536	187481	3	{n=2}
-162699	闯入	65536	38383	3	{v=8}
-162700	村容	96999	26449	2	{n=1}
-162701	致密	65536	33268	3	{a=2, an=0}
-162702	赎款	65536	36174	3	{n=0}
-162703	来书	65536	26469	3	{n=0}
-162704	星移	95066	26143	1	null
-162705	杀鸡	101845	26432	1	null
-162706	陆栖动	133419	189015	1	null
-162707	致富	121271	33268	2	{v=38, vn=25}
-162708	陆栖动物	65536	162706	3	{l=1}
-162709	社科	109931	31038	2	{j=3, n=0}
-162710	藕色	65536	34261	3	{n=0}
-162711	陆海潘	134973	190392	1	null
-162712	暴虎	100821	26292	1	null
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-162714	暴虐	65536	26292	3	{an=0, v=0}
-162715	纷飞	65536	32439	3	{v=1, vn=0}
-162716	陆海潘江	65536	162711	3	{i=0}
-162717	躺椅	65536	36538	3	{n=0}
-162718	陆相沉	131504	192825	1	null
-162719	陆相沉积	65536	162718	3	{l=0}
-162720	泥俑	65536	27877	3	{n=0}
-162721	诱导药	65536	170896	3	{n=0}
-162722	议论纷	120605	183615	1	null
-162723	教廷	65536	25945	3	{n=0}
-162724	陆航团	65536	195691	3	{j=0}
-162725	天蚕	66215	22825	1	null
-162726	藕节	65536	34261	3	{n=0}
-162727	蒸腾	65536	33976	3	{v=0}
-162728	陆防区	65536	200819	3	{n=0}
-162729	附加值	65536	188982	3	{n=18}
-162730	陈嘉庚	139862	190667	1	null
-162731	陇东	65536	38471	3	{ns=0}
-162732	陈嘉庚奖	65536	162730	3	{nz=0}
-162733	粮商	65536	31918	3	{n=0}
-162734	时务	65536	26102	3	{n=0}
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-162736	贺年片	65536	172295	3	{n=0}
-162737	小憩	65536	23567	3	{v=1, vn=1}
-162738	陈年老	125974	192822	1	null
-162739	间歇热	65536	184315	3	{n=0}
-162740	陈年老辞	65536	162738	3	{l=1}
-162741	郭沫	125604	37101	1	null
-162742	陈庄乡	65536	192838	3	{ns=0}
-162743	纠风	121927	32416	2	{j=0, vn=2}
-162744	探针	65536	25506	3	{n=3}
-162745	逻辑性	65536	158578	3	{n=0}
-162746	陈皮梅	65536	199024	3	{n=0}
-162747	村寨	65536	26449	3	{n=7}
-162748	陈规陋	142687	203910	1	null
-162749	虹膜	122163	34425	2	{n=0}
-162750	陈列品	65536	189657	3	{n=0}
-162751	陈规陋习	65536	162748	3	{i=0}
-162752	途径	65536	36884	3	{n=77}
-162753	陈词滥	126914	204431	1	null
-162754	观测站	65536	185562	3	{n=1}
-162755	开导	65536	24320	3	{v=1, vn=0}
-162756	进口棉	65536	206698	3	{n=1}
-162757	陈词滥调	65536	162753	3	{i=1}
-162758	过渡期	65536	218385	3	{n=4, t=0}
-162759	陈述句	65536	205490	3	{n=0}
-162760	开封	88715	24320	2	{ns=2, v=0}
-162761	陈陈相	140526	207114	1	null
-162762	果农	65536	26524	3	{n=3}
-162763	每晚	65536	27599	3	{r=4}
-162764	时势	65536	26102	3	{n=0}
-162765	遮天	128346	36974	1	null
-162766	陈陈相因	65536	162761	3	{i=0}
-162767	砂礓	65536	30722	3	{n=0}
-162768	陌生	142616	38476	2	{a=15, ad=0, an=0}
-162769	来亨	83147	26469	1	null
-162770	陌生人	65536	162768	3	{n=1}
-162771	报架	65536	25253	3	{n=0}
-162772	降价风	65536	195495	3	{n=1}
-162773	来京	65536	26469	3	{v=7, vn=0}
-162774	开小	86110	24320	1	null
-162775	触摸	129047	35302	2	{v=1, vn=0}
-162776	降半旗	65536	196602	3	{v=0}
-162777	腱鞘	118535	33137	2	{n=0}
-162778	避孕栓	65536	166844	3	{n=0}
-162779	睡裤	65536	30561	3	{n=0}
-162780	租金	65536	31199	3	{n=21}
-162781	盲障	65536	30450	3	{n=0}
-162782	指纹	94116	25351	2	{n=2}
-162783	阉割	65536	38409	3	{v=1}
-162784	荫蔽	65536	33643	3	{v=0}
-162785	果决	65536	26524	3	{a=0}
-162786	绊马	111712	32458	1	null
-162787	来人	65536	26469	3	{n=2, v=0}
-162788	降压片	65536	196667	3	{n=0}
-162789	阔人	65536	38420	3	{n=0}
-162790	降旗队	65536	201351	3	{n=2}
-162791	安身	85010	23433	2	{v=0}
-162792	降水区	65536	202980	3	{n=3}
-162793	果冻	65536	26524	3	{n=0}
-162794	软硬木	65536	215944	3	{n=0}
-162795	降雨带	65536	213912	3	{n=0}
-162796	降龙伏	128419	216137	1	null
-162797	莲藕	65536	33714	3	{n=0}
-162798	礼堂	65536	31036	3	{n=14}
-162799	迫害	65536	36843	3	{v=6, vn=5}
-162800	给面	120636	32473	1	null
-162801	降龙伏虎	65536	162796	3	{i=0}
-162802	干管	65536	24178	3	{n=1}
-162803	遇害	125843	36935	2	{v=1, vn=0}
-162804	降落伞	65536	209133	3	{n=0}
-162805	此消	101690	27492	1	null
-162806	限产压	124618	168983	1	null
-162807	限产压锭	65536	162806	3	{j=1}
-162808	限制性	65536	169894	3	{n=1}
-162809	纹饰	65536	32441	3	{n=0}
-162810	老虎钳	65536	219823	3	{n=0}
-162811	社稷	65536	31038	3	{n=0}
-162812	限压阀	65536	170235	3	{n=0}
-162813	限定符	65536	172298	3	{n=0}
-162814	诚实	65536	35802	3	{a=4, ad=1, an=0}
-162815	纪念卡	65536	157968	3	{n=0}
-162816	陕甘宁	65536	171647	3	{j=3}
-162817	月子	91896	26376	2	{n=0}
-162818	陕西梆	139443	176870	1	null
-162819	陕西梆子	65536	162818	3	{n=0}
-162820	陛下	65536	38491	3	{n=1}
-162821	大虫	65536	22823	3	{n=0}
-162822	院校长	65536	182163	3	{j=0}
-162823	开局	65536	24320	3	{n=6, v=3, vn=0}
-162824	除四害	65536	200492	3	{j=0}
-162825	除夕夜	65536	201062	3	{t=16}
-162826	视若路	132424	191137	1	null
-162827	除尘器	65536	201833	3	{n=0}
-162828	除恶务	139216	202951	1	null
-162829	除恶务尽	65536	162828	3	{i=0, l=1}
-162830	天蛾	65536	22825	3	{n=0, ns=0}
-162831	星空	65536	26143	3	{n=3}
-162832	条石	65536	26465	3	{n=0}
-162833	脖颈	65536	33046	3	{n=0}
-162834	除旧布新	65536	162835	3	{i=1}
-162835	除旧布	136802	204344	1	null
-162836	月季	88590	26376	2	{n=0}
-162837	除旧更新	65536	165124	3	{i=0}
-162838	开屏	65536	24320	3	{v=3}
-162839	小戏	65536	23567	3	{n=1}
-162840	大虾	65536	22823	3	{n=0}
-162841	小我	65536	23567	3	{n=0}
-162842	除旧迎新	65536	175582	3	{l=2}
-162843	除暴安	129463	204549	1	null
-162844	开展	65536	24320	3	{v=504, vn=21}
-162845	遥控	136626	36965	2	{v=2, vn=4}
-162846	条码	65536	26465	3	{n=2}
-162847	来件	65536	26469	3	{n=0}
-162848	普选	95057	26222	2	{v=0}
-162849	手感	65536	25163	3	{n=0}
-162850	趾甲	65536	36286	3	{n=1}
-162851	对门	65536	23545	3	{s=0}
-162852	长江口	65536	226320	3	{ns=2}
-162853	罢论	65536	32610	3	{n=0}
-162854	除暴安良	65536	162843	3	{i=0}
-162855	锁具	65536	38145	3	{n=0}
-162856	除此之外	65536	162867	3	{c=3, l=1}
-162857	除此以外	65536	163021	3	{l=0}
-162858	陋习	65536	38475	3	{n=1}
-162859	除此而外	65536	175604	3	{l=0}
-162860	报栏	65536	25253	3	{n=1}
-162861	除臭剂	65536	211518	3	{n=0}
-162862	除草剂	65536	211866	3	{n=1}
-162863	除虫菊	65536	212668	3	{n=0}
-162864	放在	87472	25918	2	{v=110}
-162865	普通	101418	26222	2	{a=110, ad=0, an=0, n=0}
-162866	货币率	65536	196402	3	{n=1}
-162867	除此之	140050	205749	1	null
-162868	裁判组	65536	156030	3	{n=0}
-162869	除锈剂	65536	216409	3	{n=0}
-162870	耐旱	121219	32784	1	null
-162871	阿里山	65536	230287	3	{ns=0}
-162872	开山	79088	24320	2	{v=3, vn=0}
-162873	山色	65536	23665	3	{n=1}
-162874	除非己	129168	217007	1	null
-162875	除非己莫	142854	162874	1	null
-162876	装载量	65536	213282	3	{n=0}
-162877	荣光	65536	33635	3	{n=0}
-162878	教徒	65536	25945	3	{n=5}
-162879	小户	86760	23567	2	{n=0}
-162880	除非己莫为	65536	162875	3	{l=1, n=0}
-162881	陨星学	65536	162894	3	{n=0}
-162882	村屯	65536	26449	3	{n=1}
-162883	箭鱼	65536	31661	3	{n=0}
-162884	村山	65536	26449	3	{nr=0}
-162885	陨石坑	65536	167458	3	{n=0}
-162886	险崖老	136370	186028	1	null
-162887	时区	65536	26102	3	{n=1}
-162888	班规	65536	29677	3	{n=0}
-162889	险崖老林	65536	162886	3	{i=0}
-162890	险象环	132908	198135	1	null
-162891	险象环生	65536	162890	3	{l=2}
-162892	萧萧	65536	33831	3	{z=1}
-162893	迁徙	65536	36801	3	{n=1, v=1, vn=0}
-162894	陨星	139483	38504	2	{n=1}
-162895	毒品	65536	27602	3	{n=25}
-162896	陪同团	65536	166641	3	{n=3}
-162897	总理	88588	24635	2	{n=482}
-162898	山芋	65536	23665	3	{n=0}
-162899	小手	83349	23567	1	null
-162900	纵横驰	103891	173415	1	null
-162901	陪笑脸	65536	176630	3	{l=0}
-162902	赴汤	118880	36212	1	null
-162903	陪酒女	65536	182327	3	{n=0}
-162904	陪审制	65536	168582	3	{n=0}
-162905	欢聚	105826	27426	2	{v=10, vn=1}
-162906	臭老	127947	33261	1	null
-162907	小打	83352	23567	1	null
-162908	月宫	65536	26376	3	{n=0}
-162909	陶公府	65536	177976	3	{ns=0}
-162910	天蝎	76544	22825	1	null
-162911	陶冶性	138139	178050	1	null
-162912	陶冶性情	65536	162911	3	{l=1}
-162913	陶朗加	138849	183523	1	null
-162914	著者	65536	33879	3	{n=0}
-162915	陶朗加市	65536	162913	3	{ns=0}
-162916	普遍	100239	26222	2	{a=59, ad=71, d=0, vd=0}
-162917	报案	95401	25253	2	{v=11, vn=2}
-162918	格陵	103856	26684	1	null
-162919	陡坡	65536	38497	3	{n=1}
-162920	陶然亭	65536	186114	3	{ns=1}
-162921	罢课	65536	32610	3	{v=0}
-162922	断臂	65536	26029	3	{n=0}
-162923	陶瓷业	65536	187075	3	{n=0}
-162924	虾米	65536	34430	3	{n=0}
-162925	陵园	65536	38517	3	{n=2}
-162926	陷落地	124267	176956	1	null
-162927	男傧	105688	30007	1	null
-162928	对阵	65536	23545	3	{v=1, vn=2}
-162929	舌敝	126317	33292	1	null
-162930	陷落地震	65536	162926	3	{l=0}
-162931	隆化县	65536	165191	3	{ns=0}
-162932	诟骂	65536	35807	3	{v=0}
-162933	裂璺	65536	35010	3	{n=0}
-162934	隆回县	65536	166159	3	{ns=0}
-162935	蠢笨	65536	34850	3	{a=0}
-162936	山花	65536	23665	3	{n=1}
-162937	每月	65536	27599	3	{r=41}
-162938	隆宝滩	65536	167374	3	{ns=0}
-162939	跨上	65536	36328	3	{v=1}
-162940	浓重	65536	27987	3	{a=5}
-162941	贯注	65536	36143	3	{v=0}
-162942	陕北	65536	38485	3	{ns=13}
-162943	钾肥	65536	38078	3	{n=1}
-162944	隆尧县	65536	167512	3	{ns=0}
-162945	随之而	136478	211069	1	null
-162946	隋唐	65536	38539	3	{t=1}
-162947	随之而来	65536	162945	3	{l=2}
-162948	罗庄镇	65536	194503	3	{ns=1}
-162949	年薪	65536	24180	3	{n=1}
-162950	随乡入	142892	211091	1	null
-162951	投送	65536	25237	3	{v=1}
-162952	目标	117447	30446	2	{n=348}
-162953	藤椅	65536	34276	3	{n=1}
-162954	葡萄藤	65536	158026	3	{n=1}
-162955	褐藻	65536	35088	3	{n=0}
-162956	小抄	86123	23567	1	null
-162957	随乡入乡	65536	162950	3	{i=0}
-162958	繁峙	121602	32321	2	{ns=0}
-162959	荣军	65536	33635	3	{nz=0}
-162960	每期	65536	27599	3	{r=2}
-162961	随叫随	141925	212509	1	null
-162962	杂差	65536	26434	3	{n=0}
-162963	支脉	65536	25903	3	{n=0}
-162964	山苍	84427	23665	1	null
-162965	随叫随到	65536	162961	3	{l=2}
-162966	随声附	141328	213794	1	null
-162967	阔佬	65536	38420	3	{n=0}
-162968	投递	93691	25237	2	{v=6, vn=3}
-162969	运动会	65536	182535	3	{n=15}
-162970	曲牌	65536	26354	3	{n=0}
-162971	藕荷	65536	34261	3	{b=0}
-162972	随声附和	65536	162966	3	{i=0}
-162973	随处可	127711	213814	1	null
-162974	解放战	132528	204500	1	null
-162975	板牙	65536	26495	3	{n=0}
-162976	随处可见	65536	162973	3	{l=11}
-162977	随州市	65536	215056	3	{ns=2}
-162978	稀缺	65536	31232	3	{a=3}
-162979	郁悒	65536	37057	3	{a=0}
-162980	残兵	90306	27531	2	{n=0}
-162981	随大流	65536	213849	3	{l=1}
-162982	随心所	135541	215541	1	null
-162983	随心所欲	65536	162982	3	{i=1}
-162984	随想曲	65536	215845	3	{n=0}
-162985	随意性	65536	215873	3	{n=4}
-162986	抽验	65536	25277	3	{v=0}
-162987	职业道	121538	165138	1	null
-162988	渔村	65536	28180	3	{n=1}
-162989	小报	85345	23567	2	{n=1}
-162990	胎生	123333	32974	2	{b=0}
-162991	探长	65536	25506	3	{n=0}
-162992	薪给	65536	34218	3	{n=0}
-162993	随时随	140674	217128	1	null
-162994	随时随地	65536	162993	3	{l=3}
-162995	随机应变	65536	162997	3	{i=0}
-162996	随波逐	135030	218900	1	null
-162997	随机应	141531	217452	1	null
-162998	暗室	65536	26263	3	{n=0}
-162999	随波逐流	65536	162996	3	{i=1}
-163000	耍无	109628	32781	1	null
-163001	随物赋	138585	220315	1	null
-163002	旧社	100326	26087	1	null
-163003	随物赋形	65536	163001	3	{i=0}
-163004	随笔集	65536	222534	3	{n=1}
-163005	稀罕	65536	31232	3	{a=0, an=1, v=0}
-163006	陕南	65536	38485	3	{ns=1}
-163007	随葬品	65536	224926	3	{n=0}
-163008	睡觉	65536	30561	3	{v=5}
-163009	早籼	89332	26089	1	null
-163010	随行就	138946	225918	1	null
-163011	盗车	117673	30423	2	{v=0, vn=2}
-163012	随行就市	65536	163010	3	{i=1}
-163013	暗害	65536	26263	3	{v=0}
-163014	迁怒	65536	36801	3	{v=0}
-163015	随遇平衡	65536	163018	3	{l=0}
-163016	酌情	65536	37196	3	{d=0}
-163017	随遇而安	65536	171619	3	{i=1}
-163018	随遇平	128102	227961	1	null
-163019	突贯	65536	31361	3	{v=0}
-163020	随随便	142609	229569	1	null
-163021	除此以	140051	205749	1	null
-163022	树懒	65536	26641	3	{n=0}
-163023	小拇	81576	23567	1	null
-163024	随随便便	65536	163020	3	{z=1}
-163025	改行	65536	25913	3	{v=4}
-163026	狗血	112243	29399	1	null
-163027	辩证法	65536	170650	3	{n=8}
-163028	随风倒	65536	230144	3	{v=0}
-163029	眉目	118107	30473	2	{n=0}
-163030	穿插	65536	31359	3	{v=2, vd=0, vn=0}
-163031	随风转舵	65536	179246	3	{i=0}
-163032	闯劲	65536	38383	3	{n=0}
-163033	浅近	65536	27973	3	{a=0}
-163034	干粉	65536	24178	3	{n=1}
-163035	残冬	65536	27531	3	{t=0}
-163036	隐匿罪	65536	210107	3	{n=0}
-163037	隐君子	65536	210327	3	{n=0}
-163038	星等	65536	26143	3	{n=0}
-163039	隐头花	138834	211632	1	null
-163040	落地钟	65536	197904	3	{n=0}
-163041	隐头花序	65536	163039	3	{l=0}
-163042	膀阔	114279	33152	1	null
-163043	隐姓埋	141527	211791	1	null
-163044	隐姓埋名	65536	163043	3	{i=1}
-163045	隐形眼	124810	213214	1	null
-163046	隐形眼镜	65536	163045	3	{n=0}
-163047	隐恶扬	141157	213490	1	null
-163048	格雷	92848	26684	1	null
-163049	隐恶扬善	65536	163047	3	{i=0}
-163050	隐显墨	135352	214970	1	null
-163051	绞杀	65536	32478	3	{v=0}
-163052	隐显墨水	65536	163050	3	{l=0}
-163053	隐睾症	65536	219386	3	{n=0}
-163054	提法	65536	25552	3	{n=5, vn=1}
-163055	隐私权	65536	219965	3	{n=0}
-163056	隐约可	127797	221218	1	null
-163057	萨克	124036	33832	1	null
-163058	索非	122652	32034	1	null
-163059	绝对额	65536	195155	3	{n=0}
-163060	小括	85434	23567	1	null
-163061	安边	65536	23433	3	{ns=0}
-163062	隐约可见	65536	163056	3	{l=3}
-163063	隐花植	133778	222253	1	null
-163064	山茱	73956	23665	1	null
-163065	闽剧	65536	38397	3	{n=0}
-163066	安达	80994	23433	2	{ns=1, nz=1}
-163067	隐花植物	65536	163063	3	{l=0}
-163068	隐藏所	65536	223051	3	{n=1}
-163069	山茶	74350	23665	2	{n=0}
-163070	隐隐约	130652	227340	1	null
-163071	干粮	65536	24178	3	{n=4}
-163072	隐身术	65536	225319	3	{n=0}
-163073	接物	78756	25509	1	null
-163074	隐隐约约	65536	163070	3	{z=1}
-163075	当耳	74149	24403	1	null
-163076	隔三差	142969	181493	1	null
-163077	还原染	131441	187358	1	null
-163078	釜底游	120083	160689	1	null
-163079	男儿	65536	30007	3	{n=4}
-163080	隐蔽性	65536	222905	3	{n=3}
-163081	强记	65536	24378	3	{v=1}
-163082	来信	94378	26469	2	{n=35, v=15, vn=2}
-163083	荣列	65536	33635	3	{v=0}
-163084	登程	65536	30331	3	{v=0}
-163085	隔三差五	65536	163076	3	{l=1}
-163086	误字	65536	35823	3	{n=0}
-163087	小指	65536	23567	3	{n=0}
-163088	山草	65536	23665	3	{n=0}
-163089	牧草	65536	29287	3	{n=3}
-163090	铜版纸	65536	212793	3	{n=0}
-163091	突起	65536	31361	3	{v=1, vn=0}
-163092	醋意	65536	37259	3	{n=0}
-163093	让步	65536	35753	3	{v=2, vn=4}
-163094	隔墙有	130277	184197	1	null
-163095	狼藉	65536	29436	3	{a=0}
-163096	隔墙有耳	65536	163094	3	{i=0}
-163097	话剧票	65536	169108	3	{n=0}
-163098	隔声板	65536	184284	3	{n=0}
-163099	诊脉	65536	35786	3	{v=0}
-163100	萨其	110543	33832	1	null
-163101	隔岸观	134324	185252	1	null
-163102	探问	65536	25506	3	{v=0}
-163103	隔岸观火	65536	163101	3	{i=2}
-163104	辣手	65536	36771	3	{a=0}
-163105	隔河岩	65536	189343	3	{ns=0}
-163106	月山	65536	26376	3	{ns=2}
-163107	眉眼	98725	30473	2	{n=1}
-163108	隔靴搔	132949	200288	1	null
-163109	碑额	65536	30865	3	{n=0}
-163110	强词	87980	24378	1	null
-163111	隔靴搔痒	65536	163108	3	{i=0}
-163112	隔音符号	65536	171179	3	{l=0}
-163113	隔音室	65536	200415	3	{n=0}
-163114	隙地	65536	38553	3	{n=0}
-163115	解放报	65536	204500	3	{n=0}
-163116	障人眼	132673	163130	1	null
-163117	盗运	65536	30423	3	{v=0}
-163118	隘口	65536	38552	3	{n=0}
-163119	障人眼目	65536	163116	3	{l=1}
-163120	迟效	124882	36831	1	null
-163121	障眼法	65536	173500	3	{n=0}
-163122	障碍物	65536	173837	3	{n=0}
-163123	障碍赛跑	65536	170020	3	{l=0}
-163124	隧洞	65536	38567	3	{n=1}
-163125	手戳	65536	25163	3	{n=0}
-163126	山药	73301	23665	2	{n=0}
-163127	讨厌	65536	35752	3	{v=1}
-163128	蜂房	65536	34562	3	{n=0}
-163129	隽永	65536	38589	3	{a=0}
-163130	障人	132592	38556	1	null
-163131	难上加	124542	211210	1	null
-163132	难上加难	65536	163131	3	{l=0}
-163133	遥遥相	135216	174299	1	null
-163134	安适	65536	23433	3	{a=0}
-163135	藤榻	65536	34276	3	{n=0}
-163136	心子	65536	24515	3	{n=0}
-163137	萨军	65536	33832	3	{j=0}
-163138	治警	65536	27835	3	{v=1}
-163139	隔离室	65536	192679	3	{n=0}
-163140	聘选	65536	32856	3	{v=1}
-163141	隶书	65536	38582	3	{n=4}
-163142	方圆	65536	26041	3	{n=4, nz=0}
-163143	难为情	65536	211258	3	{a=1}
-163144	难于登	140324	211342	1	null
-163145	秦腔	115536	31206	2	{n=1}
-163146	改装	65536	25913	3	{v=4, vn=2}
-163147	粮囤	65536	31918	3	{n=1}
-163148	干系	65536	24178	3	{n=0}
-163149	难于登天	65536	163144	3	{i=0}
-163150	难以为继	65536	163353	3	{i=3}
-163151	难以启齿	65536	164878	3	{l=0}
-163152	行政处罚	123681	154673	1	null
-163153	难以忍受	65536	167852	3	{l=1}
-163154	眉睫	65536	30473	3	{n=0}
-163155	肩负	65536	32937	3	{v=17}
-163156	盖饭	65536	30422	3	{n=0}
-163157	难以忘怀	65536	167863	3	{l=6}
-163158	祖母	107467	31062	2	{n=1}
-163159	股数	65536	32929	3	{n=1}
-163160	难以置信	65536	175949	3	{i=3}
-163161	难以言表	65536	178655	3	{i=1}
-163162	月岩	65536	26376	3	{n=1}
-163163	难兄难	138815	212036	1	null
-163164	强调	65536	24378	3	{a=1, v=373, vd=15, vn=1}
-163165	平移	65536	24179	3	{vn=0}
-163166	难兄难弟	65536	163163	3	{l=0}
-163167	纪念品	65536	157968	3	{n=11}
-163168	钢琴曲	65536	216070	3	{n=0}
-163169	绞架	65536	32478	3	{n=0}
-163170	难分难	127873	212230	1	null
-163171	衣帽钩	65536	190520	3	{n=0}
-163172	难分难解	65536	163170	3	{i=0}
-163173	排碱	88679	25490	2	{vn=3}
-163174	广饶	88240	24191	1	null
-163175	自相鱼	114959	216616	1	null
-163176	蕴蓄	65536	34164	3	{v=0}
-163177	防冻液	65536	216526	3	{n=0}
-163178	滚雪	101780	28378	1	null
-163179	难割难	129888	212338	1	null
-163180	衰竭	127137	34928	2	{v=5}
-163181	难割难舍	65536	163179	3	{l=0}
-163182	难能可	127034	224253	1	null
-163183	难能可贵	65536	163182	3	{i=5}
-163184	难舍难	142192	224525	1	null
-163185	菌肥	65536	33740	3	{n=0}
-163186	胎痣	65536	32974	3	{n=0}
-163187	天衣	74696	22825	1	null
-163188	安逸	65536	23433	3	{a=2, an=0}
-163189	难民所	65536	218897	3	{n=0}
-163190	难舍难分	65536	163184	3	{i=1}
-163191	跃跃欲	119917	176074	1	null
-163192	难解难	142202	226531	1	null
-163193	心安	82041	24515	2	{a=0}
-163194	索韦	117601	32034	1	null
-163195	拉斯	94137	25289	1	null
-163196	血统论	65536	213888	3	{n=0}
-163197	欢腾	65536	27426	3	{v=4, vn=0}
-163198	附加刑	65536	188982	3	{n=0}
-163199	累累	65536	32047	3	{z=9}
-163200	难解难分	65536	163192	3	{i=4}
-163201	难言之	124659	226560	1	null
-163202	称孤	103819	31216	1	null
-163203	难言之隐	65536	163201	3	{i=0}
-163204	难说话	65536	227060	3	{l=0}
-163205	难道说	65536	228179	3	{d=0}
-163206	手抄	88076	25163	1	null
-163207	蝇蛹	65536	34631	3	{n=0}
-163208	略胜	116386	30053	1	null
-163209	雀巢咖	141354	163241	1	null
-163210	腐肉	65536	33104	3	{n=0}
-163211	雀巢咖啡	65536	163209	3	{n=0}
-163212	手把	89326	25163	1	null
-163213	陷于	65536	38519	3	{v=11}
-163214	雁来红	65536	171372	3	{n=0}
-163215	安道	81490	23433	1	null
-163216	裂痕	65536	35010	3	{n=0}
-163217	山菊	65536	23665	3	{n=0}
-163218	雁栖湖	65536	171549	3	{ns=0}
-163219	雁窝岛	65536	176292	3	{ns=0}
-163220	心室	65536	24515	3	{n=0}
-163221	平稳	65536	24179	3	{a=26, ad=14, an=1}
-163222	暴行	65536	26292	3	{n=5}
-163223	方块	97331	26041	2	{n=1}
-163224	邮政法	65536	202135	3	{n=0}
-163225	探险	93471	25506	2	{v=2, vn=3}
-163226	雁翎队	65536	177621	3	{n=0}
-163227	雁过拔毛	65536	163228	3	{i=0}
-163228	雁过拔	135616	181710	1	null
-163229	对面	65536	23545	3	{f=7, n=1, vd=0}
-163230	莱西	128405	33713	2	{ns=0}
-163231	雁过留声	65536	167969	3	{l=0}
-163232	片面	108926	29255	2	{a=4, ad=2, d=0}
-163233	陋俗	65536	38475	3	{n=0}
-163234	雁门关	65536	183279	3	{ns=0}
-163235	炮衣	65536	28846	3	{n=0}
-163236	陡增	65536	38497	3	{v=0}
-163237	雄图大	133185	203336	1	null
-163238	雄图大略	65536	163237	3	{l=0}
-163239	见面礼	65536	218159	3	{n=0}
-163240	肯尼迪	65536	150027	3	{nr=1}
-163241	雀巢	141555	38592	2	{nz=1}
-163242	雄姿英	141786	204105	1	null
-163243	雄姿英发	65536	163242	3	{l=0}
-163244	开工	80582	24320	2	{v=28, vn=21}
-163245	心宽	91438	24515	1	null
-163246	雄峻挺	137950	204869	1	null
-163247	附属国	65536	191476	3	{n=0}
-163248	小推	70221	23567	1	null
-163249	辩护权	65536	160125	3	{n=0}
-163250	雄峻挺拔	65536	163246	3	{i=0}
-163251	误导	65536	35823	3	{v=2, vn=3}
-163252	敌焰	65536	25932	3	{n=0}
-163253	铲子	65536	38130	3	{n=2}
-163254	雄心勃	142068	205581	1	null
-163255	雄心勃勃	65536	163254	3	{i=2}
-163256	成武	92712	25104	1	null
-163257	雄心壮志	65536	164833	3	{i=2}
-163258	识相	65536	35782	3	{a=0}
-163259	雄才大	133207	206231	1	null
-163260	雄才大略	65536	163259	3	{i=0}
-163261	雄赳赳	65536	217277	3	{z=1}
-163262	雄黄酒	65536	221710	3	{n=0}
-163263	诈称	65536	35784	3	{v=0}
-163264	雅俗共	127092	198026	1	null
-163265	胁迫	65536	32961	3	{v=1}
-163266	心寒	65536	24515	3	{a=1}
-163267	雅俗共赏	65536	163264	3	{i=0, l=6}
-163268	雅加达	139203	198739	2	{ns=29}
-163269	雅加达市	65536	163268	3	{ns=1}
-163270	雅司病	65536	199083	3	{n=0}
-163271	陡壁	65536	38497	3	{n=1}
-163272	雅宝路	65536	201040	3	{ns=0}
-163273	开市	65536	24320	3	{v=0}
-163274	跟前	65536	36319	3	{f=3}
-163275	手拉	89327	25163	1	null
-163276	雅尔塔	65536	201159	3	{ns=0}
-163277	肠炎	65536	32928	3	{n=0}
-163278	触景	132417	35302	1	null
-163279	雅戈尔	65536	202683	3	{nz=3}
-163280	锁匠	65536	38145	3	{n=0}
-163281	迟早	65536	36831	3	{a=0, ad=0, d=1}
-163282	雅温得	65536	205788	3	{ns=1}
-163283	臭腺	65536	33261	3	{n=0}
-163284	雅皮士	65536	207969	3	{n=0}
-163285	曲率	65536	26354	3	{n=0}
-163286	雅砻江	65536	208366	3	{ns=2}
-163287	牙买	112408	29273	1	null
-163288	小提	77184	23567	1	null
-163289	雅鲁藏	139223	217652	1	null
-163290	雅鲁藏布	135552	163289	1	null
-163291	锐器	65536	38160	3	{n=0}
-163292	平空	65536	24179	3	{d=0}
-163293	闻人	65536	38395	3	{n=0}
-163294	蜂拥	118365	34562	2	{v=1, vd=0}
-163295	雅鲁藏布江	65536	163290	3	{ns=0}
-163296	集体主义	65536	163339	3	{n=6}
-163297	集体所有	142258	168464	2	{l=3}
-163298	安邦	81706	23433	1	null
-163299	普里	101339	26222	1	null
-163300	运动健	133751	182535	1	null
-163301	数轴	65536	25968	3	{n=0}
-163302	大行	79404	22823	1	null
-163303	每桶	65536	27599	3	{r=23}
-163304	集体所有制	65536	163297	3	{n=2}
-163305	闽南	65536	38397	3	{ns=2, s=1}
-163306	集体经济	65536	175775	3	{l=13}
-163307	集合号	65536	205135	3	{n=0}
-163308	集中制	65536	203636	3	{n=0}
-163309	集团公司	65536	163402	3	{n=85}
-163310	集大成	65536	206446	3	{b=0}
-163311	释典	65536	37322	3	{n=0}
-163312	锄把	65536	38148	3	{n=0}
-163313	大街	76686	22823	2	{n=38}
-163314	通讯录	65536	228347	3	{n=0}
-163315	迎头赶	137302	176780	1	null
-163316	开席	65536	24320	3	{v=0}
-163317	觉着	65536	35273	3	{v=1}
-163318	集市贸	137188	207689	1	null
-163319	集市贸易	65536	163318	3	{n=1}
-163320	放声	65536	25918	3	{b=0, d=2}
-163321	锉子	65536	38153	3	{n=0}
-163322	工薪	84611	24037	2	{n=1}
-163323	集思广	132919	208228	1	null
-163324	造谣惑	138312	207816	1	null
-163325	大衣	78658	22823	2	{n=12}
-163326	树挂	65536	26641	3	{n=1}
-163327	象是	65536	35937	3	{v=0}
-163328	随大溜	65536	213849	3	{l=0}
-163329	集思广益	65536	163323	3	{i=2}
-163330	集成电路	65536	170987	3	{n=4}
-163331	手持	90158	25163	2	{v=0}
-163332	收回	92735	25910	2	{v=25, vn=0}
-163333	脉速	65536	33033	3	{n=0}
-163334	心尖	65536	24515	3	{n=0}
-163335	锡剧	65536	38177	3	{n=0}
-163336	铁板大	119762	220566	1	null
-163337	手指	91664	25163	2	{n=7}
-163338	通货膨胀	128890	158448	2	{l=51}
-163339	集体主	143255	203930	1	null
-163340	行车道	65536	222958	3	{n=1}
-163341	集成块	65536	208727	3	{n=0}
-163342	方城	98143	26041	2	{n=1}
-163343	贫困户	65536	170251	3	{n=57}
-163344	集散地	65536	209578	3	{n=1}
-163345	酚醛树	126296	159377	1	null
-163346	集水区	65536	211323	3	{n=0}
-163347	陵墓	65536	38517	3	{n=2}
-163348	集流环	65536	211592	3	{n=0}
-163349	集电极	65536	213628	3	{n=0}
-163350	钳工	65536	38067	3	{n=1}
-163351	蛋清	65536	34507	3	{n=0}
-163352	虫瘿	65536	34411	3	{n=0}
-163353	难以为	130663	211429	1	null
-163354	集疏运	65536	213718	3	{j=0}
-163355	集约经营	65536	174555	3	{l=2}
-163356	开幕	89915	24320	2	{n=0, v=32, vn=0}
-163357	杂役	65536	26434	3	{n=0}
-163358	集腋成	128327	216722	1	null
-163359	集腋成裘	65536	163358	3	{i=0}
-163360	集装箱	130026	218636	2	{n=39}
-163361	窗口	65536	31383	3	{s=48, vn=0}
-163362	集约化	65536	216045	3	{v=1, vd=2, vn=6}
-163363	集装箱船	65536	163360	3	{n=2}
-163364	赫然	122404	36203	2	{z=9}
-163365	大袋	65540	22823	1	null
-163366	蔓草	65536	34067	3	{n=0}
-163367	探雷	94834	25506	2	{v=0}
-163368	铮铮铁	121172	160761	1	null
-163369	豆腐渣	65536	191174	3	{n=0}
-163370	集贸市	141042	219775	1	null
-163371	绣鞋	65536	32483	3	{n=0}
-163372	集贸市场	65536	163370	3	{n=11}
-163373	衙署	65536	34905	3	{n=0}
-163374	窗台	65536	31383	3	{n=0}
-163375	放大	95881	25918	2	{v=1, vn=0}
-163376	集训班	65536	219380	3	{n=0}
-163377	防震棚	65536	234266	3	{n=2}
-163378	经营额	65536	204321	3	{n=1}
-163379	集资款	65536	219787	3	{n=2}
-163380	雇佣劳动	65536	163664	3	{l=0}
-163381	雇佣观点	65536	177759	3	{l=0}
-163382	紧梆	116064	32039	1	null
-163383	雌激素	65536	167487	3	{n=0}
-163384	雇佣军	65536	163701	3	{n=0}
-163385	赞美诗	65536	173722	3	{n=0}
-163386	拉普	90566	25289	1	null
-163387	荣升	65536	33635	3	{v=0}
-163388	雌老虎	65536	171648	3	{n=0}
-163389	锋芒毕	122233	173457	1	null
-163390	雉鸠	65536	38601	3	{n=0}
-163391	雉鸡	65536	38601	3	{n=0}
-163392	当腰	65536	24403	3	{n=0}
-163393	雌雄同体	65536	163403	3	{l=0}
-163394	荣华	126064	33635	1	null
-163395	胚轴	65536	32986	3	{n=0}
-163396	鄂尔	136334	37122	1	null
-163397	村干	86361	26449	1	null
-163398	战斗	93203	25112	2	{nz=1, v=25, vn=44}
-163399	改观	65536	25913	3	{v=5, vn=9}
-163400	随机性	65536	217452	3	{n=0}
-163401	板球	65536	26495	3	{n=0}
-163402	集团公	141813	205865	1	null
-163403	雌雄同	143086	177475	1	null
-163404	跃居	65536	36291	3	{v=10}
-163405	雇主	65536	38599	3	{n=1}
-163406	贸然	65536	36152	3	{d=2}
-163407	雌雄异体	65536	166209	3	{l=0}
-163408	雍和宫	65536	163427	3	{ns=0}
-163409	雍容华	127262	165264	1	null
-163410	小摊	65536	23567	3	{n=0}
-163411	雍容华贵	65536	163409	3	{i=0}
-163412	雕像头	65536	167185	3	{n=0}
-163413	缩影	65536	32553	3	{n=7}
-163414	貉绒	65536	35977	3	{n=0}
-163415	村庄	65536	26449	3	{n=27}
-163416	雕塑家	65536	169107	3	{n=0}
-163417	残匪	65536	27531	3	{n=0}
-163418	王位	65536	29579	3	{n=0}
-163419	平竹	65536	24179	3	{nr=0}
-163420	雕栏玉砌	65536	163421	3	{l=0}
-163421	雕栏玉	132688	173137	1	null
-163422	雕栏画栋	65536	163855	3	{i=0}
-163423	赔本	65536	36180	3	{v=1, vn=0}
-163424	收场	65536	25910	3	{n=0, v=1, vn=0}
-163425	雕梁画	136794	173251	1	null
-163426	金石学	65536	227765	3	{n=0}
-163427	雍和	139941	38605	1	null
-163428	雕刻刀	65536	167549	3	{n=0}
-163429	雕梁画栋	65536	163425	3	{i=0}
-163430	成气	93649	25104	1	null
-163431	胎盘	65536	32974	3	{n=0}
-163432	阁员	65536	38401	3	{n=0}
-163433	雕红漆	65536	178916	3	{n=0}
-163434	雕虫小	138219	180909	1	null
-163435	雕虫小技	65536	163434	3	{i=0}
-163436	推理	87829	25512	2	{v=0, vn=0}
-163437	蕴藉	65536	34164	3	{a=1, an=0, v=0}
-163438	雨后春	131940	203387	1	null
-163439	雨后春笋	65536	163438	3	{i=2}
-163440	雨夹雪	65536	204710	3	{l=13}
-163441	雨层云	65536	205487	3	{n=0}
-163442	雨水管	65536	209569	3	{n=0}
-163443	蕴藏	113329	34164	2	{v=6}
-163444	开庭	65536	24320	3	{v=15, vn=1}
-163445	美国队	65536	193213	3	{n=1, nt=21}
-163446	雨过天	137220	218676	1	null
-163447	虚无缥	118392	199589	1	null
-163448	雨过天晴	65536	163446	3	{i=0}
-163449	集团军	65536	205865	3	{n=20}
-163450	陪审员	65536	168582	3	{n=0}
-163451	杂志	92297	26434	2	{n=47}
-163452	雨量器	65536	219196	3	{n=0}
-163453	雪上加	124770	213580	1	null
-163454	雪上加霜	65536	163453	3	{i=3}
-163455	雪中送	134614	213615	1	null
-163456	雨花区	65536	215326	3	{ns=0}
-163457	茅盾	123239	33541	2	{nr=5}
-163458	贰臣	65536	36144	3	{n=0}
-163459	雪中送炭	65536	163455	3	{i=8}
-163460	罪行	65536	32618	3	{n=6}
-163461	接班	96843	25509	2	{v=0}
-163462	战旗	65536	25112	3	{n=1, nz=3}
-163463	胆小鬼	65536	173124	3	{n=0}
-163464	雪佛兰	65536	213917	3	{nz=0}
-163465	雪利酒	65536	214635	3	{n=0}
-163466	河内	65536	27827	3	{nr=0, ns=6}
-163467	轨范	65536	36712	3	{n=0}
-163468	雪地鞋	65536	215922	3	{n=2}
-163469	阴阳历	65536	228831	3	{n=1}
-163470	手掌	89982	25163	2	{n=3}
-163471	战无	94314	25112	1	null
-163472	星系	98840	26143	2	{n=9}
-163473	雪窦寺	65536	225000	3	{ns=0}
-163474	缩微	111584	32553	1	null
-163475	辨析	65536	36776	3	{v=1, vn=0}
-163476	雪花膏	65536	227059	3	{n=0}
-163477	雪茄烟	65536	227142	3	{n=0}
-163478	月工	85887	26376	2	{n=0}
-163479	绥远	65536	32485	3	{ns=2}
-163480	雪莲花	65536	227316	3	{n=0}
-163481	杂念	65536	26434	3	{n=0}
-163482	雪连纸	65536	230432	3	{n=0}
-163483	接球	65536	25509	3	{v=0}
-163484	大褂	65536	22823	3	{n=1}
-163485	来兴	99409	26469	1	null
-163486	指腹	96361	25351	1	null
-163487	雪里送炭	65536	167960	3	{l=0}
-163488	柳琴	65536	26611	3	{n=0}
-163489	邻国	65536	37051	3	{n=11}
-163490	雪铁龙	65536	231683	3	{nz=0}
-163491	政策	96605	25919	2	{n=663}
-163492	花生衣	65536	216745	3	{n=0}
-163493	战时	65536	25112	3	{t=1}
-163494	雌性	65536	38604	3	{b=1}
-163495	防洪工	130759	223549	1	null
-163496	童仆	65536	31461	3	{n=0}
-163497	雪龙号	65536	234459	3	{nz=0}
-163498	手推	77794	25163	1	null
-163499	平等	89169	24179	2	{a=35, ad=5, an=4, d=0, vn=0}
-163500	阎王爷	65536	167957	3	{n=0}
-163501	螺旋线	65536	158953	3	{n=0}
-163502	衣帽间	65536	190520	3	{n=0}
-163503	试点站	65536	203628	3	{n=2}
-163504	零七八	132644	206804	1	null
-163505	对顶	71197	23545	1	null
-163506	零七八碎	65536	163504	3	{i=0}
-163507	芦花	65536	33446	3	{n=0}
-163508	零利率	65536	207866	3	{n=0}
-163509	重灾户	65536	224484	3	{n=2}
-163510	金华戏	65536	218384	3	{n=0}
-163511	零声母	65536	209601	3	{n=0}
-163512	零打碎	137547	212004	1	null
-163513	雪里红	65536	230926	3	{n=0}
-163514	胃液	65536	32963	3	{n=0}
-163515	脏话	65536	33039	3	{n=0}
-163516	王侯	65536	29579	3	{n=0}
-163517	零打碎敲	65536	163512	3	{i=0}
-163518	蓄水量	65536	157267	3	{n=0}
-163519	零敲碎	138351	212803	1	null
-163520	锡匠	65536	38177	3	{n=0}
-163521	汇编	105677	27719	2	{n=1, v=1, vn=0}
-163522	零敲碎打	65536	163519	3	{i=0}
-163523	蔫耷	117772	34091	1	null
-163524	零税率	65536	218079	3	{n=1}
-163525	淡路	106695	28129	1	null
-163526	零用费	65536	216825	3	{n=0}
-163527	开开	65536	24320	3	{nz=0, v=2}
-163528	零花钱	65536	220290	3	{n=5}
-163529	芦苇	65536	33446	3	{n=0}
-163530	铆工	65536	38086	3	{n=0}
-163531	零部件	65536	223929	3	{n=3}
-163532	集中化	65536	203636	3	{vn=3}
-163533	虎口脱	112265	188678	1	null
-163534	闰日	65536	38384	3	{t=0}
-163535	总的	86341	24635	1	null
-163536	零配件	65536	224030	3	{n=1}
-163537	工蚁	65536	24037	3	{n=0}
-163538	手提	93287	25163	2	{b=1}
-163539	零零星星	65536	163540	3	{z=1}
-163540	零零星	137396	225479	1	null
-163541	雏儿	65536	38607	3	{n=0}
-163542	开式	65536	24320	3	{b=0}
-163543	零零碎碎	65536	168259	3	{z=1}
-163544	零零落落	65536	171250	3	{z=0}
-163545	雷公山	65536	196038	3	{ns=0}
-163546	蜷缩	65536	34615	3	{v=1}
-163547	朝着	65536	26397	3	{p=14}
-163548	豁朗	65536	35905	3	{a=0}
-163549	雷厉风	128658	196579	1	null
-163550	雷厉风行	65536	163549	3	{i=3}
-163551	雷坪乡	65536	197572	3	{ns=0}
-163552	雷打不	142394	200365	1	null
-163553	蒸蒸	124281	33976	1	null
-163554	雷打不动	65536	163552	3	{i=1}
-163555	手握	81518	25163	1	null
-163556	调研科	65536	219707	3	{n=1}
-163557	诀窍	65536	35776	3	{n=1}
-163558	雷暴雨	65536	201486	3	{n=0}
-163559	开张	65536	24320	3	{v=8, vn=0}
-163560	酣然	65536	37219	3	{d=1, z=0}
-163561	雷电交	142410	205199	1	null
-163562	雷电交加	65536	163561	3	{i=0}
-163563	雷神庙	65536	206264	3	{ns=13}
-163564	雷轰电	125190	211914	1	null
-163565	锌粉	65536	38156	3	{n=0}
-163566	腐臭	65536	33104	3	{n=0, vn=0}
-163567	果品	65536	26524	3	{n=9}
-163568	雷轰电闪	65536	163564	3	{l=0}
-163569	雷锋式	65536	213349	3	{b=1, n=0}
-163570	里程表	65536	186564	3	{n=0}
-163571	干红	65536	24178	3	{n=0}
-163572	雷阵雨	65536	213647	3	{n=0}
-163573	春城	65536	26149	3	{n=1}
-163574	识破	130454	35782	2	{v=0}
-163575	通用机	65536	222580	3	{n=0}
-163576	雷雨云	65536	213826	3	{n=0}
-163577	大襟	65536	22823	3	{n=1}
-163578	雷霆万	125525	213856	1	null
-163579	物理	112501	29289	2	{n=18}
-163580	雷霆万钧	65536	163578	3	{i=0}
-163581	敌特	65536	25932	3	{j=0, n=0}
-163582	雷鸣电	125205	215677	1	null
-163583	雷鸣电闪	65536	163582	3	{l=0}
-163584	艺名	65536	33402	3	{n=0}
-163585	苗族	65536	33495	3	{nz=33}
-163586	抗辩	65536	25239	3	{vn=0}
-163587	雾化器	65536	163934	3	{n=0}
-163588	雾气腾	130440	170332	1	null
-163589	洗池	107775	27927	1	null
-163590	雾气腾腾	65536	163588	3	{l=0}
-163591	雹子	65536	38649	3	{n=0}
-163592	雪窦山	65536	225000	3	{ns=0}
-163593	长征四	139813	223026	1	null
-163594	行李舱	65536	212694	3	{n=0}
-163595	平箩	65536	24179	3	{n=2}
-163596	聘金	65536	32856	3	{n=0}
-163597	长白山	140071	228910	2	{ns=0}
-163598	拉杂	65536	25289	3	{a=0, ad=0}
-163599	雾凇	65536	38654	3	{n=1}
-163600	干线	65536	24178	3	{n=20}
-163601	着火	109788	30528	2	{v=1, vn=0}
-163602	拉杆	65536	25289	3	{n=0}
-163603	股本	65536	32929	3	{n=7}
-163604	干练	65536	24178	3	{a=0, an=1}
-163605	虫眼	65536	34411	3	{n=0}
-163606	金城汤	132144	219536	1	null
-163607	干细	76127	24178	1	null
-163608	锯子	65536	38191	3	{n=0}
-163609	大西	78993	22823	1	null
-163610	雾腾腾	65536	175814	3	{z=0}
-163611	大要	73566	22823	2	{n=0}
-163612	总监	65536	24635	3	{n=9}
-163613	男单	65536	30007	3	{j=8}
-163614	通风报	138028	231706	1	null
-163615	焦急	65536	28966	3	{a=7, ad=1, an=0}
-163616	雾蒙蒙	65536	176609	3	{z=1}
-163617	隐蔽所	65536	222905	3	{n=0}
-163618	雾里看	130162	179988	1	null
-163619	雾里看花	65536	163618	3	{i=0}
-163620	需水量	65536	163682	3	{n=1}
-163621	需求量	65536	163696	3	{n=17}
-163622	来函	65536	26469	3	{n=2, v=0}
-163623	成法	65536	25104	3	{n=0}
-163624	需要量	65536	171183	3	{n=0}
-163625	逍遥自	135926	158221	1	null
-163626	股权	65536	32929	3	{n=5}
-163627	方士	65536	26041	3	{n=0}
-163628	读书班	65536	160659	3	{n=0}
-163629	巴黎	87739	24052	2	{ns=81}
-163630	绝对高	119883	195155	1	null
-163631	霄壤之	142597	163643	1	null
-163632	霄壤之别	65536	163631	3	{i=0}
-163633	蜀绣	65536	34560	3	{n=0}
-163634	换钱	65536	25442	3	{v=1}
-163635	家鸡	65536	23478	3	{n=0}
-163636	阶级斗	142140	174839	1	null
-163637	震中区	65536	186764	3	{n=1}
-163638	雨花台	65536	215326	3	{ns=0}
-163639	狂怒	65536	29378	3	{v=0}
-163640	蔚成风	122892	155655	1	null
-163641	总目	65536	24635	3	{n=0}
-163642	逻辑推	128878	158578	1	null
-163643	霄壤	143588	38660	2	{n=0}
-163644	手携	89346	25163	1	null
-163645	震古烁	143478	188227	1	null
-163646	袅袅	128722	34949	2	{z=1}
-163647	家鸭	65536	23478	3	{n=0}
-163648	震古烁今	65536	163645	3	{i=0}
-163649	小改	65536	23567	3	{vn=1}
-163650	裙装	65536	35033	3	{n=0}
-163651	年表	65536	24180	3	{n=1}
-163652	震天动地	65536	163653	3	{i=1}
-163653	震天动	141332	189576	1	null
-163654	月底	65536	26376	3	{t=2}
-163655	缄默	65536	32516	3	{v=0, vn=0}
-163656	开征	65536	24320	3	{v=1}
-163657	手摇	76435	25163	2	{b=0}
-163658	防火墙	65536	224382	3	{n=0}
-163659	艺员	65536	33402	3	{n=2}
-163660	长途电	125626	235461	1	null
-163661	舌根	109189	33292	2	{n=0}
-163662	震天骇地	65536	182052	3	{i=0}
-163663	家鸽	65536	23478	3	{n=0}
-163664	雇佣劳	142220	163701	1	null
-163665	适应症	65536	181706	3	{n=0}
-163666	工蜂	65536	24037	3	{n=0}
-163667	集邮册	65536	220661	3	{n=0}
-163668	蛋白质	65536	165519	3	{n=3}
-163669	震撼人心	65536	163713	3	{i=4}
-163670	阔别	65536	38420	3	{v=2}
-163671	月度	65536	26376	3	{n=1}
-163672	端线	65536	31471	3	{n=0}
-163673	来到	65536	26469	3	{v=210, vn=1}
-163674	雷达兵	65536	211992	3	{n=1}
-163675	震耳欲	130837	199570	1	null
-163676	大观	78010	22823	2	{n=0}
-163677	男厕	65536	30007	3	{n=0}
-163678	大规	73096	22823	1	null
-163679	抗逆	90768	25239	1	null
-163680	震耳欲聋	65536	163675	3	{i=1}
-163681	裙裤	65536	35033	3	{n=0}
-163682	需水	126293	38656	2	{vn=1}
-163683	霉菌病	65536	176558	3	{n=0}
-163684	酬报	65536	37228	3	{v=0}
-163685	腮颊	65536	33134	3	{n=0}
-163686	阿拉伯埃	140997	162572	1	null
-163687	霍尔木兹	65536	163688	3	{ns=1}
-163688	霍尔木	142830	167277	1	null
-163689	神经质	65536	206548	3	{n=0}
-163690	霍尔果斯	65536	163804	3	{ns=0}
-163691	霍山县	65536	167370	3	{ns=0}
-163692	航务	65536	33322	3	{n=0}
-163693	知县	65536	30693	3	{n=0}
-163694	霍普镇	65536	169927	3	{ns=0}
-163695	霍林郭	142495	170224	1	null
-163696	需求	126294	38656	2	{n=164, v=3, vn=20}
-163697	霍林郭勒	65536	163695	3	{n=0}
-163698	腾越	65536	33150	3	{v=0}
-163699	长安城	65536	222010	3	{ns=0}
-163700	蛛网	65536	34523	3	{n=0}
-163701	雇佣	142493	38599	2	{v=0, vn=1}
-163702	挂钟	65536	25346	3	{n=0}
-163703	突进	65536	31361	3	{v=0, vn=0}
-163704	小数	78077	23567	2	{n=0}
-163705	移锭	65536	31227	3	{v=3}
-163706	霎时	125319	38670	2	{d=3, t=0}
-163707	霎时间	65536	163706	3	{d=1, t=0}
-163708	霎那间	65536	174631	3	{t=0}
-163709	大解	65536	22823	3	{v=0}
-163710	霏霏	65536	38671	3	{z=4}
-163711	责任书	65536	159811	3	{n=3}
-163712	挂钩	65536	25346	3	{n=0, v=19, vn=0}
-163713	震撼人	139154	192539	1	null
-163714	象牙片	65536	166441	3	{n=0}
-163715	端绪	65536	31471	3	{n=0}
-163716	霓虹灯	65536	163718	3	{n=10}
-163717	霖雨	65536	38678	3	{n=0}
-163718	霓虹	134933	38675	2	{n=1}
-163719	羞答	113553	32670	1	null
-163720	霜霉病	65536	181643	3	{n=0}
-163721	霞浦县	65536	170921	3	{ns=0}
-163722	开心	65536	24320	3	{a=5, an=0, v=1}
-163723	胃溃	116490	32963	1	null
-163724	霞光	65536	38686	3	{n=0, nz=0}
-163725	成活	84580	25104	2	{v=2}
-163726	繁忙	65536	32321	3	{a=11, an=0}
-163727	霭霭	65536	38701	3	{z=1}
-163728	记录片	65536	192502	3	{n=0}
-163729	遥望	65536	36965	3	{v=1}
-163730	砂糖	65536	30722	3	{n=0}
-163731	男友	65536	30007	3	{n=0}
-163732	男双	65536	30007	3	{j=2}
-163733	霰弹	65536	38704	3	{n=0}
-163734	算子	65536	31639	3	{n=0}
-163735	肝蛭	65536	32925	3	{n=0}
-163736	露一手	65536	187439	3	{l=0, v=0}
-163737	露原形	65536	188878	3	{l=0}
-163738	大言	80286	22823	1	null
-163739	终日	65536	32456	3	{d=0, m=2, t=0}
-163740	误工	65536	35823	3	{v=0, vn=0}
-163741	露天矿	65536	190296	3	{n=0}
-163742	露宿风	124559	190958	1	null
-163743	露宿风餐	65536	163742	3	{i=0}
-163744	露马脚	65536	207003	3	{v=0}
-163745	童便	65536	31461	3	{n=0}
-163746	目次	65536	30446	3	{n=0}
-163747	菌苗	65536	33740	3	{n=0}
-163748	责任事	128567	159811	1	null
-163749	误差	124073	35823	2	{n=4}
-163750	洗洁	65536	27927	3	{j=1}
-163751	遵化	134729	36981	2	{ns=0}
-163752	霸主	65536	38712	3	{n=2}
-163753	对饮	65536	23545	3	{v=0}
-163754	礼宾	118341	31036	2	{n=0}
-163755	腾跃	65536	33150	3	{v=1, vn=1}
-163756	算学	65536	31639	3	{n=0}
-163757	铁路桥	65536	230406	3	{n=3}
-163758	总督	88592	24635	2	{n=1}
-163759	霸州市	65536	167755	3	{ns=0}
-163760	袖章	65536	34966	3	{n=0}
-163761	自行车	65536	221052	3	{n=22}
-163762	开快	73450	24320	1	null
-163763	泥古	108943	27877	1	null
-163764	艺品	65536	33402	3	{n=0}
-163765	王储	65536	29579	3	{n=0}
-163766	铣工	65536	38115	3	{n=0}
-163767	接生	95408	25509	2	{v=4, vn=1}
-163768	暗度	83188	26263	1	null
-163769	肃静	65536	32899	3	{a=0, an=0}
-163770	霸权主	143733	170160	1	null
-163771	知名	118690	30693	2	{a=21}
-163772	洗洗	65536	27927	3	{v=0}
-163773	班费	65536	29677	3	{n=0}
-163774	霸权主义	65536	163770	3	{n=6}
-163775	霸王别	140757	173304	1	null
-163776	菱镁	119247	33777	1	null
-163777	霸王别姬	65536	163775	3	{l=2}
-163778	购书	65536	36141	3	{v=6, vn=0}
-163779	杂感	65536	26434	3	{n=0}
-163780	河势	65536	27827	3	{n=0}
-163781	隔离带	65536	192679	3	{n=2}
-163782	酵素	65536	37237	3	{n=0}
-163783	开怀	87339	24320	2	{an=0, d=1, v=0}
-163784	排笔	65536	25490	3	{n=0}
-163785	脸型	65536	33080	3	{n=0}
-163786	霍乱	65536	38669	3	{n=1}
-163787	霹雳	130479	38713	2	{n=2}
-163788	购买	133542	36141	2	{v=96, vn=4}
-163789	霹雳舞	65536	163787	3	{n=0}
-163790	纪念地	65536	157968	3	{n=0}
-163791	霹雷	65536	38713	3	{n=0}
-163792	求业	65536	27714	3	{v=1}
-163793	青云直	143816	217077	1	null
-163794	青云直上	65536	163793	3	{i=1}
-163795	责任人	132905	159811	2	{n=9}
-163796	青光眼	65536	217773	3	{n=0}
-163797	平米	65536	24179	3	{q=0}
-163798	跨入	65536	36328	3	{v=5}
-163799	锅子	65536	38149	3	{n=0}
-163800	挂锁	65536	25346	3	{n=0}
-163801	酿成	65536	37247	3	{v=6}
-163802	防弹玻	132117	219980	1	null
-163803	来劲	65536	26469	3	{a=0}
-163804	霍尔果	137659	167277	1	null
-163805	青出于	129795	217950	1	null
-163806	战术	90900	25112	2	{n=19}
-163807	阿斯塔	130073	218994	1	null
-163808	青出于蓝	131030	163805	2	{i=0}
-163809	青冈县	65536	217836	3	{ns=0}
-163810	青出于蓝而	130824	163808	1	null
-163811	趸船	65536	36280	3	{n=0}
-163812	青出于蓝而胜	143709	163810	1	null
-163813	滑铁	110075	28369	1	null
-163814	湖西	104721	28246	2	{ns=0}
-163815	育迪	65536	32946	3	{nz=0}
-163816	来势	95861	26469	2	{n=2}
-163817	战机	65536	25112	3	{n=3}
-163818	肿骨	106004	32959	1	null
-163819	青出于蓝而胜于	129807	163812	1	null
-163820	青出于蓝而胜于蓝	65536	163819	3	{i=0}
-163821	小日	83562	23567	1	null
-163822	小旦	65536	23567	3	{n=0}
-163823	钉子	135066	38025	2	{n=2}
-163824	残品	65536	27531	3	{n=0}
-163825	闰月	65536	38384	3	{n=0}
-163826	阅兵式	65536	162116	3	{n=0}
-163827	青基会	65536	219486	3	{j=0}
-163828	集团化	65536	205865	3	{v=2, vd=0, vn=3}
-163829	干群	65536	24178	3	{j=8}
-163830	陇剧	65536	38471	3	{n=0}
-163831	邪心	65536	37034	3	{n=0}
-163832	青壮年	65536	219730	3	{j=0, n=11}
-163833	青天白日	65536	163839	3	{i=0}
-163834	防水坝	65536	223303	3	{n=0}
-163835	运输机	65536	198130	3	{n=2}
-163836	青天霹雳	65536	172219	3	{i=0}
-163837	蒲草	65536	33970	3	{n=0}
-163838	小时	86435	23567	2	{n=123, q=0}
-163839	青天白	137748	219789	1	null
-163840	索马	105456	32034	1	null
-163841	求之	107765	27714	1	null
-163842	资源税	65536	195321	3	{n=1}
-163843	排筏	65536	25490	3	{n=0}
-163844	强身	90243	24378	2	{v=1}
-163845	汇聚	107839	27719	2	{v=9}
-163846	礼尚	115390	31036	1	null
-163847	监测	115635	30417	2	{v=5, vn=47}
-163848	青委会	65536	219960	3	{j=0}
-163849	青少年	140386	220533	2	{j=0, n=69}
-163850	规划署	65536	165151	3	{n=0}
-163851	方始	65536	26041	3	{d=0}
-163852	迷魂药	65536	205430	3	{n=0}
-163853	青少年宫	65536	163849	3	{n=1}
-163854	鄂州	135082	37122	2	{ns=0}
-163855	雕栏画	136787	173137	1	null
-163856	阖家幸	130756	161866	1	null
-163857	青尼罗	136033	220576	1	null
-163858	观光者	65536	178392	3	{n=1}
-163859	引黄	89674	24341	2	{j=0}
-163860	青尼罗河	65536	163857	3	{ns=0}
-163861	菌草	65536	33740	3	{n=1}
-163862	青山区	65536	220629	3	{ns=1}
-163863	青山秀水	65536	173724	3	{i=0}
-163864	狂想	107708	29378	1	null
-163865	洗浴	65536	27927	3	{v=0}
-163866	青山绿水	65536	175067	3	{i=3}
-163867	青州市	65536	220994	3	{ns=1}
-163868	河北	108324	27827	2	{ns=92}
-163869	青春年少	65536	163884	3	{l=0}
-163870	青岛市	65536	220671	3	{ns=12}
-163871	急难	65536	24613	3	{n=2}
-163872	青梅竹	124341	223721	1	null
-163873	青梅竹马	65536	163872	3	{i=0}
-163874	袖筒	65536	34966	3	{n=1}
-163875	诚心	117647	35802	2	{a=1, ad=0, n=3}
-163876	青浦县	65536	224970	3	{ns=1}
-163877	青果协	65536	223488	3	{j=0}
-163878	艺术类	65536	168482	3	{n=1}
-163879	改订	65536	25913	3	{v=0}
-163880	青海湖	65536	224987	3	{ns=0}
-163881	邪念	65536	37034	3	{n=0}
-163882	青狮潭	65536	226386	3	{ns=0}
-163883	青瓦台	65536	226890	3	{ns=0}
-163884	青春年	140300	223113	1	null
-163885	小春	65536	23567	3	{t=0}
-163886	陌生化	65536	162768	3	{v=0}
-163887	销价	65536	38144	3	{n=0}
-163888	开恩	65536	24320	3	{v=0}
-163889	青石板	65536	227671	3	{n=1}
-163890	家鼠	65536	23478	3	{n=1}
-163891	收复	65536	25910	3	{v=4}
-163892	教授	85916	25945	2	{n=99, v=1, vn=1}
-163893	青红皂	133563	229382	1	null
-163894	春夏	89945	26149	1	null
-163895	青稞酒	65536	228226	3	{n=0}
-163896	青红皂白	65536	163893	3	{i=1}
-163897	青纱帐	65536	229397	3	{n=0}
-163898	观测网	65536	185562	3	{n=0}
-163899	称帝	65536	31216	3	{v=0}
-163900	星级	65536	26143	3	{b=6, n=0}
-163901	霜冻	65536	38684	3	{n=1}
-163902	青翠欲	135499	229700	1	null
-163903	青翠欲滴	65536	163902	3	{i=0, l=1}
-163904	数量	97324	25968	2	{b=1, n=108}
-163905	青花瓷	65536	230421	3	{n=1}
-163906	青苔村	65536	230456	3	{ns=0}
-163907	组建	65536	32452	3	{n=1, v=89, vn=4}
-163908	青草地	65536	230573	3	{n=1}
-163909	青莲色	65536	230678	3	{n=0}
-163910	青菜头	65536	230720	3	{n=0}
-163911	铁甲车	65536	224073	3	{n=0}
-163912	树敌	65536	26641	3	{v=0}
-163913	洗涤	108220	27927	2	{v=0, vn=0}
-163914	青运会	65536	233780	3	{j=0}
-163915	战果	65536	25112	3	{n=3}
-163916	青釉瓷	141797	234285	1	null
-163917	青釉瓷器	65536	163916	3	{n=0}
-163918	春大	80518	26149	1	null
-163919	青霉素	65536	235629	3	{n=0}
-163920	春天	65536	26149	3	{t=32}
-163921	苗期	65536	33495	3	{n=0}
-163922	青面獠	134653	235718	1	null
-163923	王兆	112443	29579	1	null
-163924	缺一	124676	32570	1	null
-163925	青铜器	65536	235072	3	{n=5}
-163926	青面獠牙	65536	163922	3	{i=0}
-163927	青风寨	65536	236082	3	{ns=0}
-163928	青饲料	65536	236246	3	{n=0}
-163929	青黄不	138427	237608	1	null
-163930	苗木	65536	33495	3	{n=4}
-163931	铣床	65536	38115	3	{n=0}
-163932	河南	106014	27827	2	{ns=75}
-163933	猛跌	65536	29467	3	{v=3}
-163934	雾化	141467	38654	1	null
-163935	排箫	65536	25490	3	{n=0}
-163936	青黄不接	65536	163929	3	{i=3}
-163937	急需	65536	24613	3	{n=0, v=30, vn=2}
-163938	靖江市	65536	163963	3	{ns=1}
-163939	心平	84083	24515	1	null
-163940	陷入	65536	38519	3	{v=44}
-163941	提灌	65536	25552	3	{n=0}
-163942	这一来	65536	180882	3	{d=0}
-163943	青年人	65536	221144	3	{n=14}
-163944	求亲	65536	27714	3	{v=0}
-163945	靖西县	65536	171419	3	{ns=0}
-163946	防空壕	65536	226957	3	{n=0}
-163947	辅料	65536	36741	3	{n=2}
-163948	航空界	65536	173893	3	{n=3}
-163949	靖边县	65536	173013	3	{ns=1}
-163950	放学	65536	25918	3	{v=3, vn=0}
-163951	心广	91448	24515	1	null
-163952	求人	65536	27714	3	{v=1}
-163953	袖管	65536	34966	3	{n=0}
-163954	靖远县	65536	173048	3	{ns=0}
-163955	猪圈	65536	29482	3	{n=2}
-163956	藤泰	65536	34276	3	{nr=0}
-163957	静乐县	65536	200339	3	{ns=0}
-163958	静冈县	65536	201163	3	{ns=0}
-163959	来华	65536	26469	3	{v=33, vn=5}
-163960	王八	65536	29579	3	{n=0}
-163961	王公	65536	29579	3	{n=1}
-163962	河卵	97680	27827	1	null
-163963	靖江	139872	38742	2	{ns=0}
-163964	静净斋	65536	201219	3	{ns=0}
-163965	袖箭	65536	34966	3	{n=0}
-163966	移防	65536	31227	3	{v=0}
-163967	静力学	65536	201438	3	{n=0}
-163968	算尺	65536	31639	3	{n=0}
-163969	环氧	108162	29615	1	null
-163970	平素	65536	24179	3	{a=0, d=1}
-163971	暗影	65536	26263	3	{n=0}
-163972	释名	65536	37322	3	{n=0}
-163973	心底	65536	24515	3	{n=9, s=0}
-163974	软骨病	65536	224708	3	{n=0}
-163975	长沙市	65536	226378	3	{ns=26}
-163976	提灯	65536	25552	3	{n=0}
-163977	静寂寂	65536	203781	3	{z=0}
-163978	静幽幽	65536	204480	3	{z=0}
-163979	读书界	65536	160659	3	{n=2}
-163980	电子流	65536	192405	3	{n=0}
-163981	静心思	127175	204806	1	null
-163982	静心思过	65536	163981	3	{i=0}
-163983	钝顶	65536	38045	3	{a=0}
-163984	稻谷	65536	31291	3	{n=5}
-163985	艰辛	125536	33392	2	{a=11, ad=1, an=11, vn=0}
-163986	每次	65536	27599	3	{r=38}
-163987	苗条	65536	33495	3	{a=0}
-163988	静悄悄	65536	204999	3	{z=3}
-163989	静摩擦	142843	205996	1	null
-163990	静摩擦力	65536	163989	3	{l=0}
-163991	静水压	65536	207991	3	{n=0}
-163992	静物画	65536	209580	3	{n=0}
-163993	小暑	65536	23567	3	{t=0}
-163994	静电屏蔽	65536	164234	3	{l=0}
-163995	象棋	65536	35937	3	{n=7}
-163996	工行	65536	24037	3	{j=9}
-163997	静电感应	65536	165466	3	{l=0}
-163998	迷迷瞪	127295	202539	1	null
-163999	超级稻	65536	216038	3	{n=1}
-164000	纪念堂	65536	157968	3	{n=13}
-164001	静电学	65536	210296	3	{n=0}
-164002	踢腿	65536	36386	3	{v=0}
-164003	缺乏	65536	32570	3	{v=101, vn=4}
-164004	蛋炒	111800	34507	1	null
-164005	猪场	65536	29482	3	{n=0}
-164006	静脉曲	139657	213324	1	null
-164007	渔歌	65536	28180	3	{n=0}
-164008	鉴定	140101	37492	2	{n=0, v=25, vn=33}
-164009	静脉曲张	65536	164006	3	{l=0}
-164010	邪恶	65536	37034	3	{a=2, an=3}
-164011	静脉注射	65536	165532	3	{l=0}
-164012	静若处	140638	213800	1	null
-164013	王冠	65536	29579	3	{n=0}
-164014	静若处子	65536	164012	3	{i=0}
-164015	来历	103657	26469	2	{n=1}
-164016	静荡荡	65536	213924	3	{z=0}
-164017	靛蓝色	65536	164025	3	{n=0}
-164018	牙克	102855	29273	1	null
-164019	换防	65536	25442	3	{v=1, vn=0}
-164020	此片	65536	27492	3	{r=2}
-164021	闺房	65536	38394	3	{n=0}
-164022	这么样	65536	180954	3	{r=0}
-164023	静静地	65536	219036	3	{z=9}
-164024	非一日	143984	217999	1	null
-164025	靛蓝	130623	38747	2	{b=0}
-164026	拉森	65536	25289	3	{nz=0}
-164027	非一日之	140527	164024	1	null
-164028	辰河	65536	36784	3	{ns=3}
-164029	对骂	65536	23545	3	{v=0}
-164030	菲薄	65536	33778	3	{v=0}
-164031	棉铃	90691	26825	2	{n=0}
-164032	航天部	65536	165364	3	{nt=1}
-164033	非一日之寒	65536	164027	3	{i=3}
-164034	非专业	65536	218018	3	{b=2}
-164035	非亲非	138111	218177	1	null
-164036	非亲非故	65536	164035	3	{i=0}
-164037	放宽	65536	25918	3	{v=10, vn=0}
-164038	言多语	129903	189288	1	null
-164039	非价格	65536	218246	3	{b=3}
-164040	都市	138991	37117	2	{n=24}
-164041	非伙伴	65536	218280	3	{n=0}
-164042	林海	65536	26519	3	{n=3, nz=0}
-164043	非传统	65536	218287	3	{b=0}
-164044	非作战	65536	218347	3	{b=0}
-164045	非僧非	143607	218742	1	null
-164046	非僧非俗	65536	164045	3	{l=0}
-164047	非党人	141285	218857	1	null
-164048	非党人士	65536	164047	3	{n=0}
-164049	蚁蚕	65536	34433	3	{n=0}
-164050	荡荡	124813	33633	1	null
-164051	诚恳	65536	35802	3	{a=3, ad=0, an=0}
-164052	贤淑	65536	36132	3	{a=0}
-164053	提炼	65536	25552	3	{v=3, vn=0}
-164054	致意	65536	33268	3	{v=6, vn=0}
-164055	蹬腿	65536	36460	3	{v=0}
-164056	非公有制	65536	169297	3	{b=10, n=0}
-164057	手旗	65536	25163	3	{n=0}
-164058	牙关	65536	29273	3	{n=0}
-164059	非公经济	65536	175383	3	{j=0}
-164060	航向	65536	33322	3	{n=2}
-164061	非农业	65536	218923	3	{b=9}
-164062	牙具	65536	29273	3	{n=0}
-164063	诸事	65536	35832	3	{r=4}
-164064	长野市	65536	235903	3	{ns=0}
-164065	终末	65536	32456	3	{n=3}
-164066	手无	90971	25163	1	null
-164067	钦州	136263	38054	2	{ns=9}
-164068	来去	65536	26469	3	{v=4, vn=0}
-164069	非农产业	65536	164202	3	{n=1}
-164070	陇南	65536	38471	3	{ns=0}
-164071	镇海村	65536	201537	3	{ns=0}
-164072	河口	65536	27827	3	{n=3, ns=0}
-164073	非公务	65536	218875	3	{b=2}
-164074	镶嵌	131220	38262	2	{v=4, vn=0}
-164075	天诛	78461	22825	1	null
-164076	星罗	94257	26143	1	null
-164077	迈步	65536	36808	3	{v=1}
-164078	林涛	65536	26519	3	{n=0, nr=0}
-164079	约见	65536	32422	3	{v=0}
-164080	贡税	65536	36129	3	{n=0}
-164081	非分之	139265	219029	1	null
-164082	纪念塔	65536	157968	3	{n=1}
-164083	钦差	137505	38054	2	{n=0}
-164084	非分之想	65536	164081	3	{i=1, l=0}
-164085	非单位	143780	219364	1	null
-164086	干肥	65536	24178	3	{n=0}
-164087	非单位体	143043	164085	1	null
-164088	春姑	98069	26149	1	null
-164089	非单位体制	65536	164087	3	{n=2}
-164090	小曲	65536	23567	3	{n=1, nr=2}
-164091	眉笔	65536	30473	3	{n=0}
-164092	胜人	126780	32988	1	null
-164093	零售业	65536	208639	3	{n=1}
-164094	若虫	65536	33509	3	{n=0}
-164095	非卖品	65536	219365	3	{n=0}
-164096	非同一般	65536	164111	3	{l=0}
-164097	小曹	83864	23567	1	null
-164098	强辩	65536	24378	3	{v=0}
-164099	苛责	65536	33499	3	{v=0, vn=0}
-164100	陪审团	65536	168582	3	{n=0}
-164101	甘丹	111858	29976	1	null
-164102	诸亲	130918	35832	1	null
-164103	牙冠	65536	29273	3	{n=0}
-164104	非同儿戏	65536	164942	3	{l=0}
-164105	菌落	65536	33740	3	{n=0}
-164106	非同寻常	65536	167690	3	{i=0, l=3}
-164107	非同小可	65536	167710	3	{i=1}
-164108	放射	93608	25918	2	{v=1, vn=0}
-164109	非君莫	140466	219562	1	null
-164110	遵命	65536	36981	3	{v=0}
-164111	非同一	130772	219547	1	null
-164112	非君莫属	65536	164109	3	{l=0}
-164113	小有	85428	23567	1	null
-164114	非国有经	136142	167676	1	null
-164115	小朋	85498	23567	1	null
-164116	走马灯	65536	222115	3	{l=1, n=0}
-164117	工装	73189	24037	2	{n=1}
-164118	心弦	65536	24515	3	{n=8}
-164119	甘之	112494	29976	1	null
-164120	说得过	132318	205068	1	null
-164121	胜仗	65536	32988	3	{n=5}
-164122	非国大	65536	220300	3	{j=2}
-164123	果园	103973	26524	2	{n=11}
-164124	非国有经济	65536	164114	3	{n=0}
-164125	松下	65536	26494	3	{nr=0, nz=3}
-164126	非官方	65536	221479	3	{b=1}
-164127	能上	113949	33021	1	null
-164128	月息	65536	26376	3	{n=1}
-164129	阔叶	135343	38420	1	null
-164130	非导体	65536	221579	3	{n=0}
-164131	非工会	65536	222068	3	{b=0}
-164132	杂技	101119	26434	2	{n=31}
-164133	雕刻品	65536	167549	3	{n=0}
-164134	绞死	65536	32478	3	{v=0}
-164135	非市场	65536	222097	3	{b=2}
-164136	蛟龙	126639	34527	2	{n=3}
-164137	非常规	65536	222151	3	{b=1}
-164138	进口港	65536	206698	3	{n=0}
-164139	邮电所	65536	206221	3	{n=3}
-164140	非意愿	65536	222878	3	{b=1}
-164141	燕鱼	65536	29141	3	{n=0}
-164142	约言	65536	32422	3	{n=0}
-164143	缩手	112049	32553	2	{v=0}
-164144	小木	70240	23567	1	null
-164145	贼星	65536	36156	3	{n=0}
-164146	鄙弃	65536	37145	3	{v=0}
-164147	锉床	65536	38153	3	{n=0}
-164148	小本	76968	23567	1	null
-164149	艳装	65536	33395	3	{n=0}
-164150	非技术	65536	223247	3	{b=0}
-164151	终极	65536	32456	3	{n=4}
-164152	非政府	65536	223950	3	{b=1}
-164153	小朱	65536	23567	3	{nr=0}
-164154	非政治性	65536	167767	3	{b=1}
-164155	大计	65536	22823	3	{n=1}
-164156	曲目	65536	26354	3	{n=7}
-164157	胜任	65536	32988	3	{v=5, vn=0}
-164158	观察站	65536	181102	3	{n=0}
-164159	生产线	65536	188608	3	{n=31}
-164160	每每	65536	27599	3	{d=11}
-164161	非智力	65536	224265	3	{b=1}
-164162	曲直	65536	26354	3	{n=0, nr=0}
-164163	非暴力	65536	224323	3	{n=1}
-164164	强迫	80674	24378	2	{v=7, vd=1, vn=0}
-164165	非机动	127456	224457	1	null
-164166	非机动车	65536	164165	3	{b=0}
-164167	非林地	65536	224550	3	{n=0}
-164168	获益	128578	33719	2	{v=4, vn=0}
-164169	放屁	65536	25918	3	{v=0}
-164170	耗费	65536	32791	3	{v=3, vn=1}
-164171	腹水	65536	33145	3	{n=0}
-164172	非此即	139729	225523	1	null
-164173	非此即彼	65536	164172	3	{i=0}
-164174	非正常	65536	225522	3	{b=1}
-164175	生产经	101699	188608	1	null
-164176	蹄筋	65536	36420	3	{n=0}
-164177	非法所得	65536	165882	3	{l=0}
-164178	非理性	65536	227733	3	{b=1}
-164179	闻到	65536	38395	3	{v=1}
-164180	非法定	65536	225892	3	{b=3}
-164181	耗资	65536	32791	3	{v=11, vn=1}
-164182	诚惶	117658	35802	1	null
-164183	干脆	88085	24178	2	{a=3, d=18}
-164184	锌维	140114	38156	1	null
-164185	小村	65536	23567	3	{n=0, nr=0}
-164186	甘于	65536	29976	3	{v=4}
-164187	非生产	139573	228014	2	{b=0}
-164188	非生产性	65536	164187	3	{b=1}
-164189	童养	118322	31461	1	null
-164190	邕江	65536	37013	3	{ns=2}
-164191	脏躁	116942	33039	1	null
-164192	非盈利	65536	228439	3	{b=1}
-164193	阿拉善	132032	218252	2	{ns=1}
-164194	非科技	65536	229216	3	{b=0}
-164195	非线性	65536	230478	3	{b=0}
-164196	都庞	135402	37117	1	null
-164197	老大难	65536	208264	3	{l=0, n=6}
-164198	非织造	65536	230486	3	{b=0}
-164199	苹果酱	65536	149210	3	{n=0}
-164200	果场	65536	26524	3	{n=2}
-164201	非经营性	65536	170050	3	{b=2}
-164202	非农产	144075	218923	1	null
-164203	非经济	65536	230494	3	{b=1}
-164204	渔民	65536	28180	3	{n=13}
-164205	非结盟	65536	230498	3	{n=0}
-164206	苹果酸	65536	149210	3	{n=0}
-164207	诚意	65536	35802	3	{n=23}
-164208	杂拌	102537	26434	1	null
-164209	天象	80582	22825	2	{n=2, nz=0}
-164210	责怪	65536	36131	3	{v=3}
-164211	非艺术	65536	231433	3	{b=1}
-164212	砂纸	65536	30722	3	{n=1}
-164213	柳眉	65536	26611	3	{n=0}
-164214	金銮殿	65536	234608	3	{n=0}
-164215	大话	65536	22823	3	{n=1}
-164216	非营利	139602	231860	1	null
-164217	非营利性	65536	164216	3	{b=0}
-164218	非西方	65536	233230	3	{b=4}
-164219	心律	65536	24515	3	{n=0}
-164220	缩折	124351	32553	1	null
-164221	非请莫	143387	233862	1	null
-164222	胜似	65536	32988	3	{v=1}
-164223	销假	65536	38144	3	{v=0}
-164224	非请莫入	65536	164221	3	{l=1}
-164225	朝秦	96481	26397	1	null
-164226	板眼	65536	26495	3	{n=0}
-164227	电子游	110903	192405	1	null
-164228	非贸易	65536	234183	3	{b=1}
-164229	非银行	65536	236165	3	{b=2}
-164230	非金属	65536	235360	3	{n=0}
-164231	心得	65536	24515	3	{n=2}
-164232	非领导	131392	237077	1	null
-164233	总社	65536	24635	3	{n=2}
-164234	静电屏	129885	210296	1	null
-164235	账户	133200	36134	2	{n=34}
-164236	非领导职	143084	164232	1	null
-164237	非领导职务	65536	164236	3	{b=1, n=0}
-164238	非饱和	65536	237312	3	{b=3, vn=1}
-164239	非驴非	124710	237571	1	null
-164240	方子	65536	26041	3	{n=0}
-164241	郎才	136151	37070	1	null
-164242	非驴非马	65536	164239	3	{i=0}
-164243	账房	65536	36134	3	{n=0}
-164244	整除	65536	25972	3	{v=0}
-164245	强逼	65536	24378	3	{v=0}
-164246	胃炎	65536	32963	3	{n=0}
-164247	方字	65536	26041	3	{n=0}
-164248	大课	65536	22823	3	{n=0}
-164249	靠不住	65536	177730	3	{a=0}
-164250	靠山吃	140587	181414	1	null
-164251	环流	65536	29615	3	{n=0}
-164252	靠山吃山	65536	164250	3	{i=1}
-164253	大调	65536	22823	3	{n=0}
-164254	牙刷	65536	29273	3	{n=1}
-164255	小林	65536	23567	3	{nr=2}
-164256	能事	65536	33021	3	{n=0}
-164257	诸位	65536	35832	3	{r=3}
-164258	靠得住	65536	182220	3	{a=2}
-164259	靠水吃	136560	185449	1	null
-164260	靠水吃水	65536	164259	3	{l=1}
-164261	稀落	65536	31232	3	{a=0}
-164262	腾达	65536	33150	3	{nz=1}
-164263	极负	93492	26497	1	null
-164264	试飞组	65536	213905	3	{n=1}
-164265	靠边儿	132817	194542	1	null
-164266	靠边儿站	65536	164265	3	{l=0}
-164267	小枣	65536	23567	3	{n=0}
-164268	隔音性	65536	200415	3	{n=0}
-164269	浓雾	65536	27987	3	{n=5}
-164270	雇农	65536	38599	3	{n=0}
-164271	靠背椅	65536	190721	3	{n=0}
-164272	链条	136539	38142	2	{n=6}
-164273	穿梭	118482	31359	2	{v=7, vd=1, vn=0}
-164274	靡靡之	125380	166883	1	null
-164275	心心	81304	24515	1	null
-164276	避免	65536	36991	3	{v=66}
-164277	称得	120794	31216	1	null
-164278	渔汛	65536	28180	3	{n=0}
-164279	靡靡之音	65536	164274	3	{n=0}
-164280	面不改	130892	213954	1	null
-164281	金融家	65536	231759	3	{n=1}
-164282	霉变	65536	38665	3	{a=1, v=0, vn=0}
-164283	靡费	65536	38753	3	{an=0}
-164284	铭心	139689	38125	1	null
-164285	蜗轮	65536	34583	3	{n=0}
-164286	面不改色	65536	164280	3	{i=0}
-164287	面乎乎	65536	214019	3	{z=0}
-164288	面制品	65536	215019	3	{n=0}
-164289	豺狼虎	118350	154299	1	null
-164290	面如土	130897	216887	1	null
-164291	面如土色	65536	164290	3	{i=0}
-164292	说不着	65536	200578	3	{l=0}
-164293	面对面	65536	217518	3	{l=2}
-164294	大谬	80290	22823	1	null
-164295	心志	85348	24515	2	{n=0}
-164296	面巾纸	65536	218035	3	{n=0}
-164297	面带微	132793	218075	1	null
-164298	面带微笑	65536	164297	3	{l=1}
-164299	大谱	65536	22823	3	{n=0}
-164300	目测	65536	30446	3	{v=1}
-164301	挂零	65536	25346	3	{m=0}
-164302	纳福	65536	32435	3	{v=0}
-164303	能人	65536	33021	3	{n=1}
-164304	葛藤	65536	33883	3	{n=0}
-164305	面授机	140856	219453	1	null
-164306	记者站	65536	200870	3	{n=3}
-164307	松仁	65536	26494	3	{n=0}
-164308	面授机宜	65536	164305	3	{i=0}
-164309	裸线	65536	35064	3	{n=0}
-164310	洗漱	90877	27927	1	null
-164311	运动员	65536	182535	3	{n=103}
-164312	接着	65536	25509	3	{c=26, d=1, v=21, vd=1}
-164313	开戒	65536	24320	3	{v=0}
-164314	零售价	65536	208639	3	{n=2}
-164315	躁狂	125950	36481	1	null
-164316	面无人	130924	220053	1	null
-164317	甘休	65536	29976	3	{v=0}
-164318	面无人色	65536	164316	3	{i=0}
-164319	开战	65536	24320	3	{v=3}
-164320	大豆	67259	22823	2	{n=8}
-164321	称心	117856	31216	2	{a=1}
-164322	面无血色	65536	179042	3	{l=1}
-164323	表演者	65536	205650	3	{n=5}
-164324	金融寡	137225	231759	1	null
-164325	教改	65536	25945	3	{j=2, v=0, vn=1}
-164326	面目一新	65536	164403	3	{i=1}
-164327	阜宁	65536	38428	3	{ns=0}
-164328	面目全非	65536	165275	3	{i=1}
-164329	萧规	123694	33831	1	null
-164330	班车	65536	29677	3	{n=3}
-164331	面目可憎	65536	165922	3	{i=0}
-164332	锥栗	65536	38181	3	{n=0}
-164333	拉模	65536	25289	3	{n=0}
-164334	面目皆非	65536	174777	3	{i=0}
-164335	面神经	65536	225043	3	{n=0}
-164336	心怀	90278	24515	2	{n=0, v=0}
-164337	心态	65536	24515	3	{n=29}
-164338	班轮	65536	29677	3	{n=4}
-164339	陡峭	65536	38497	3	{a=1, an=0}
-164340	纪念奖	65536	157968	3	{n=1}
-164341	踌躇满	131404	155936	1	null
-164342	方家	84323	26041	1	null
-164343	政纪	65536	25919	3	{n=0}
-164344	醒狮	65536	37266	3	{n=2}
-164345	罪证	65536	32618	3	{n=0}
-164346	面红耳	128152	226391	1	null
-164347	大象	67503	22823	2	{n=12}
-164348	面红耳赤	65536	164346	3	{i=1}
-164349	面貌一	138336	229953	1	null
-164350	开户	77401	24320	2	{v=5, vn=3}
-164351	政纲	65536	25919	3	{n=0}
-164352	霓裳	65536	38675	3	{n=0}
-164353	陡峻	65536	38497	3	{a=0}
-164354	礼帖	65536	31036	3	{n=0}
-164355	诸侯	65536	35832	3	{n=1}
-164356	大豪	65536	22823	3	{nz=0}
-164357	暗想	65536	26263	3	{v=0}
-164358	开房	71794	24320	1	null
-164359	还原法	65536	187358	3	{n=0}
-164360	神经过	114175	206548	1	null
-164361	称快	65536	31216	3	{v=1}
-164362	村户	65536	26449	3	{n=1}
-164363	舰载	65536	33328	3	{b=1}
-164364	河唇	65536	27827	3	{ns=2}
-164365	心思	65536	24515	3	{n=7}
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-164367	小标	67893	23567	1	null
-164368	面貌一新	65536	164349	3	{l=2}
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-164370	腹泻	65536	33145	3	{v=2, vn=0}
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-164372	面面俱到	65536	164376	3	{i=0}
-164373	心急	88864	24515	2	{a=0}
-164374	面面相觑	65536	174367	3	{i=0}
-164375	心性	65536	24515	3	{n=0}
-164376	面面俱	143332	232727	1	null
-164377	小树	65536	23567	3	{n=2}
-164378	面黄肌	134134	234617	1	null
-164379	平纹	65536	24179	3	{n=0}
-164380	面黄肌瘦	65536	164378	3	{i=1}
-164381	罪该	124953	32618	1	null
-164382	超大穗	65536	206438	3	{n=0}
-164383	脆金	123388	33030	1	null
-164384	革制品	65536	165979	3	{n=0}
-164385	蒜辫	65536	33948	3	{n=0}
-164386	旧约	65536	26087	3	{n=0}
-164387	芳邻	65536	33459	3	{n=0}
-164388	树木	65536	26641	3	{n=18}
-164389	非正式	65536	225522	3	{b=7, d=1}
-164390	革命制度	143565	166020	1	null
-164391	革命制度党	65536	164390	3	{n=0}
-164392	淡酒	65536	28129	3	{n=0}
-164393	礼帽	65536	31036	3	{n=0}
-164394	楼龄	65536	27004	3	{n=1}
-164395	革命英雄	144370	178495	1	null
-164396	求偶	65536	27714	3	{v=0}
-164397	革命英雄主	144359	164395	1	null
-164398	手本	65536	25163	3	{n=0}
-164399	急风	86344	24613	1	null
-164400	革命英雄主义	65536	164397	3	{n=5}
-164401	手术	93533	25163	2	{n=5, v=14, vn=8}
-164402	革委会	65536	167929	3	{j=0}
-164403	面目一	138294	224419	1	null
-164404	平绒	65536	24179	3	{n=0}
-164405	革故鼎	138378	170858	1	null
-164406	政绩	82826	25919	2	{n=9}
-164407	挂靠	65536	25346	3	{v=3, vn=0}
-164408	方寸	99553	26041	2	{n=0}
-164409	挂面	65536	25346	3	{n=2}
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-164411	总称	65536	24635	3	{n=1, vn=0}
-164412	手机	65536	25163	3	{n=34}
-164413	雷达员	65536	211992	3	{n=0}
-164414	设伏	65536	35774	3	{v=2, vn=0}
-164415	小样	65536	23567	3	{n=0}
-164416	革新派	65536	170965	3	{n=0}
-164417	永胜	106283	27704	2	{ns=1}
-164418	靳三	126395	38771	1	null
-164419	靳三针	65536	164418	3	{j=0}
-164420	树杈	65536	26641	3	{n=0}
-164421	靴子	65536	38772	3	{n=2}
-164422	洗澡	65536	27927	3	{v=3, vn=0}
-164423	平绥	72961	24179	1	null
-164424	荒山野	125756	181730	1	null
-164425	鞋拔子	65536	190399	3	{n=0}
-164426	装甲艇	65536	206551	3	{n=0}
-164427	铸就	65536	38136	3	{v=5}
-164428	鞍前马	142913	164525	1	null
-164429	纳税	123277	32435	2	{v=16, vn=0}
-164430	艺坛	65536	33402	3	{n=0}
-164431	鞍前马后	65536	164428	3	{i=0}
-164432	鞍山市	65536	167121	3	{ns=4}
-164433	鞍马劳	125398	182988	1	null
-164434	锯床	65536	38191	3	{n=0}
-164435	靶场	65536	38774	3	{n=0}
-164436	天资	65536	22825	3	{n=0}
-164437	鞍马劳顿	65536	164433	3	{i=1}
-164438	质检站	65536	178643	3	{n=1}
-164439	普陀	100204	26222	2	{ns=1}
-164440	手杖	65536	25163	3	{n=0}
-164441	蜂拥而至	65536	151145	3	{i=0}
-164442	鞑靼	65536	38801	3	{n=0}
-164443	天赋	80631	22825	2	{n=3, v=0}
-164444	钻井液	65536	176047	3	{n=0}
-164445	鞘翅	134000	38808	1	null
-164446	鞘翅目	65536	164445	3	{n=0}
-164447	鞠躬	140836	38816	2	{nr=0, v=4, vn=0}
-164448	天赐	67398	22825	1	null
-164449	鞠躬尽	134244	164447	1	null
-164450	赔偿费	65536	157618	3	{n=3}
-164451	获知	65536	33719	3	{v=2}
-164452	普降	65536	26222	3	{v=7}
-164453	鞠躬尽瘁	65536	164449	3	{i=1}
-164454	鞣料	65536	38819	3	{n=0}
-164455	鞭毛藻	65536	168827	3	{n=0}
-164456	鞭炮声	65536	170062	3	{n=7}
-164457	设计者	65536	179920	3	{n=3}
-164458	鞭辟入	127135	177983	1	null
-164459	鞭辟入里	65536	164458	3	{i=0}
-164460	鞭长莫	143012	179487	1	null
-164461	小桥	78989	23567	2	{n=3}
-164462	鞭长莫及	65536	164460	3	{i=0}
-164463	韦尼格	131865	164557	1	null
-164464	韦尼格罗	139968	164463	1	null
-164465	赔款	65536	36180	3	{n=1, v=0, vn=2}
-164466	格鲁	103205	26684	1	null
-164467	此理	65536	27492	3	{r=3}
-164468	被害者	65536	173939	3	{n=1}
-164469	平缓	65536	24179	3	{a=8, ad=0}
-164470	钦州港	65536	164067	3	{ns=3}
-164471	韦尼格罗德	140410	164464	1	null
-164472	霜叶	65536	38684	3	{n=0}
-164473	贩私	65536	36137	3	{v=0}
-164474	闯关夺	123071	162713	1	null
-164475	锅巴	65536	38149	3	{n=0}
-164476	韦尼格罗德市	65536	164471	3	{ns=0}
-164477	车马盈	118035	225560	1	null
-164478	春字	98298	26149	1	null
-164479	韦拉克	124417	166234	1	null
-164480	衰老	65536	34928	3	{a=4, an=0}
-164481	手板	65536	25163	3	{n=0}
-164482	韦拉克鲁	138452	164479	1	null
-164483	韦拉克鲁斯	65536	164482	3	{ns=1}
-164484	防化学	141071	216873	2	{n=0}
-164485	生产者	65536	188608	3	{n=6}
-164486	花园里	65536	209015	3	{ns=0}
-164487	花生豆	65536	216745	3	{n=0}
-164488	集邮品	65536	220661	3	{n=0}
-164489	韦斯特	128304	166976	1	null
-164490	春季	65536	26149	3	{t=4}
-164491	韦斯特赛	139989	164489	1	null
-164492	韦斯特赛德	65536	164491	3	{ns=0}
-164493	韧皮纤	131995	173740	1	null
-164494	猛追	65536	29467	3	{v=0}
-164495	韧皮纤维	65536	164493	3	{l=0}
-164496	苍凉	65536	33485	3	{a=1, an=2}
-164497	蹼足	65536	36476	3	{n=0}
-164498	环游	65536	29615	3	{v=1}
-164499	树林	65536	26641	3	{n=2}
-164500	开拍	65536	24320	3	{v=1}
-164501	辉映	65536	36745	3	{v=6, vn=0}
-164502	心悦	75980	24515	1	null
-164503	集约型	65536	216045	3	{b=2, n=0}
-164504	规例	65536	35268	3	{n=0}
-164505	树枝	95040	26641	2	{n=4}
-164506	开拓	87802	24320	2	{v=119, vd=0, vn=9}
-164507	开拔	65536	24320	3	{v=0}
-164508	蹼趾	65536	36476	3	{n=0}
-164509	韩城市	65536	166840	3	{ns=0}
-164510	责任内	116099	159811	1	null
-164511	猪头	65536	29482	3	{n=0}
-164512	韩村河	65536	170811	3	{ns=1}
-164513	陈列室	65536	189657	3	{n=0}
-164514	牙医	65536	29273	3	{n=0}
-164515	芽豆	65536	33469	3	{n=0}
-164516	波纹	97257	27874	2	{n=0}
-164517	韦尔	65536	38886	3	{nr=0}
-164518	韬光	143660	38892	1	null
-164519	韬光养	138309	164518	1	null
-164520	心悸	65536	24515	3	{v=0}
-164521	逗乐	65536	36887	3	{v=0}
-164522	男团	65536	30007	3	{j=0}
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-164524	手枪	91657	25163	2	{n=2}
-164525	鞍前	124896	38797	1	null
-164526	设使	65536	35774	3	{c=0}
-164527	音乐指导	65536	177145	3	{n=0}
-164528	韧劲	65536	38887	3	{n=2}
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-164532	销售一	129535	165478	1	null
-164533	心情	65536	24515	3	{n=34}
-164534	音信全	138457	215660	1	null
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-164536	银行家	65536	226239	3	{n=4}
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-164539	韭芽	65536	38893	3	{n=0}
-164540	音响效	138017	216920	1	null
-164541	音响效果	65536	164540	3	{n=1}
-164542	音容宛	142241	218692	1	null
-164543	大败	65536	22823	3	{v=0}
-164544	玩赏	65536	29609	3	{v=0}
-164545	购入	65536	36141	3	{v=2, vn=1}
-164546	账据	65536	36134	3	{n=1}
-164547	条约	65536	26465	3	{n=29}
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-164549	胸中	120853	33016	2	{s=3}
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-164558	音素文字	65536	164556	3	{l=0}
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-164563	投降	95257	25237	2	{v=6, vn=0}
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-164565	订书针	65536	164676	3	{n=0}
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-164569	音节文字	65536	164568	3	{l=0}
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-164571	音韵学	65536	234112	3	{n=0}
-164572	钉帽	65536	38025	3	{n=0}
-164573	开挖	65536	24320	3	{v=4, vn=2}
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-164575	收容	92695	25910	2	{v=4, vn=0}
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-164578	小棚	65536	23567	3	{n=1}
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-164580	韶山型	65536	167456	3	{nz=1}
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-164582	集体化	65536	203930	3	{vn=0}
-164583	甜糯	65536	29980	3	{b=1}
-164584	顶刮刮	65536	209847	3	{z=0}
-164585	顶呱呱	65536	210426	3	{z=0}
-164586	顶天立	142274	211634	1	null
-164587	解放桥	117731	204500	1	null
-164588	稀薄	65536	31232	3	{a=0}
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-164590	泥土	65536	27877	3	{n=8}
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-164615	项庄舞剑	65536	164614	3	{i=0}
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-164620	年谱	65536	24180	3	{n=0}
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-164630	暴跌	65536	26292	3	{v=13, vn=2}
-164631	滑音	65536	28369	3	{n=0}
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-164633	项目区	65536	173093	3	{n=1}
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-164635	王后	65536	29579	3	{n=3}
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-164639	谁知	65536	35841	3	{c=0, v=8}
-164640	泥坑	65536	27877	3	{n=1}
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-164649	贫困村	65536	170251	3	{n=18}
-164650	顺天应	144497	214542	1	null
-164651	顺天应人	65536	164650	3	{i=0}
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-164656	闻名	141771	38395	2	{v=16, vn=0}
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-164658	顺手牵	132009	216880	1	null
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-164660	顺杆儿	135438	218155	1	null
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-164670	鄙意	65536	37145	3	{n=0}
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-164672	顺水人	139894	219417	1	null
-164673	毒害	65536	27602	3	{n=0, v=0, vn=1}
-164674	波罗	98568	27874	1	null
-164675	蜜月	65536	34588	3	{n=1}
-164676	订书	126541	35746	1	null
-164677	顺流而	144710	219686	1	null
-164678	山西	81053	23665	2	{ns=55}
-164679	违令	65536	36829	3	{v=0}
-164680	疑问	114954	30097	2	{n=10}
-164681	裤管	65536	35044	3	{n=0}
-164682	牙口	65536	29273	3	{n=0}
-164683	葱郁	65536	33905	3	{z=1}
-164684	负电荷	65536	186473	3	{n=0}
-164685	大足	78842	22823	2	{ns=0}
-164686	推磨	65536	25512	3	{v=1}
-164687	责任制	65536	159811	3	{n=36}
-164688	防御工	141844	220084	1	null
-164689	顺流而下	65536	164677	3	{i=1}
-164690	政者	65536	25919	3	{n=3}
-164691	浅陋	65536	27973	3	{a=0}
-164692	窗外	65536	31383	3	{s=4}
-164693	算式	65536	31639	3	{n=0}
-164694	月报	65536	26376	3	{n=2, vn=0}
-164695	燕麦	104041	29141	2	{n=0, nr=0}
-164696	责成	65536	36131	3	{v=8}
-164697	组成	106485	32452	2	{n=1, v=148, vn=16}
-164698	邻家	65536	37051	3	{n=0}
-164699	罪责	65536	32618	3	{n=1}
-164700	趋炎	117158	36235	1	null
-164701	大跃	65717	22823	1	null
-164702	趁火	130277	36225	1	null
-164703	开掘	65536	24320	3	{v=6, vn=2}
-164704	顺溜溜	65536	220033	3	{z=0}
-164705	洗炼	65536	27927	3	{a=0}
-164706	震撼力	65536	192539	3	{n=3}
-164707	顺理成	133257	221419	1	null
-164708	收尾	65536	25910	3	{v=1, vn=1}
-164709	树桩	65536	26641	3	{n=2}
-164710	大跌	65536	22823	3	{v=0}
-164711	递交	65536	36882	3	{v=9}
-164712	货运站	65536	209153	3	{n=0}
-164713	顺理成章	65536	164707	3	{i=4}
-164714	断裂	94992	26029	2	{v=1, vn=0}
-164715	顺藤摸	134800	225993	1	null
-164716	顺藤摸瓜	65536	164715	3	{i=1}
-164717	顺顺当	140317	230751	1	null
-164718	猪娃	65536	29482	3	{n=0}
-164719	安阳	83725	23433	2	{ns=4}
-164720	顺顺当当	65536	164717	3	{z=1}
-164721	泥垢	65536	27877	3	{n=0}
-164722	自选集	65536	223033	3	{n=0}
-164723	顺风吹火	65536	164724	3	{i=0}
-164724	顺风吹	135944	230835	1	null
-164725	顺风转舵	65536	179879	3	{i=0}
-164726	须弥座	65536	167656	3	{n=0}
-164727	排练	65536	25490	3	{v=8, vn=3}
-164728	韵事	65536	38901	3	{n=0}
-164729	苍劲	65536	33485	3	{a=0, an=0}
-164730	诚挚	65536	35802	3	{a=12, ad=0, an=0, vn=0}
-164731	早茶	65536	26089	3	{n=2}
-164732	须德海	65536	167802	3	{ns=0}
-164733	生产能	114386	188608	1	null
-164734	裹足	132051	35065	1	null
-164735	小楷	65536	23567	3	{n=0}
-164736	须臾之	126351	176577	1	null
-164737	腐蚀	126209	33104	2	{v=4, vn=1}
-164738	安陆	81099	23433	2	{ns=0}
-164739	须臾之间	65536	164736	3	{l=0}
-164740	顽固不化	65536	164763	3	{l=0}
-164741	顽石点	141906	177530	1	null
-164742	顽石点头	65536	164741	3	{i=0}
-164743	棉鞋	65536	26825	3	{n=1}
-164744	顾不了	65536	178552	3	{l=2}
-164745	大路	66545	22823	2	{n=2, nz=0}
-164746	渔港	104454	28180	2	{n=0}
-164747	肠癌	65536	32928	3	{n=0}
-164748	此生	65536	27492	3	{r=1}
-164749	顾全大	141136	179411	1	null
-164750	脸子	65536	33080	3	{n=0}
-164751	疑阵	65536	30097	3	{n=0}
-164752	顾全大局	65536	164749	3	{i=8}
-164753	随机数	65536	217452	3	{n=0}
-164754	脸孔	65536	33080	3	{n=0}
-164755	顾前怕	143239	179640	1	null
-164756	须发	65536	39035	3	{n=2}
-164757	顾前怕后	65536	164755	3	{i=0}
-164758	顾名思	144718	180088	1	null
-164759	顾名思义	65536	164758	3	{i=2}
-164760	顾影自	140157	183004	1	null
-164761	顾影自怜	65536	164760	3	{i=0}
-164762	干草	65536	24178	3	{n=0}
-164763	顽固不	143470	169089	1	null
-164764	贫民窟	65536	175660	3	{n=0}
-164765	顾此失	140323	186063	1	null
-164766	树梢	65536	26641	3	{n=0}
-164767	顾此失彼	65536	164765	3	{i=0}
-164768	顾盼生姿	65536	164769	3	{i=0}
-164769	顾盼生	141729	189031	1	null
-164770	蛋白酶	65536	165519	3	{n=0}
-164771	村提	93419	26449	1	null
-164772	顾盼自雄	65536	168044	3	{i=0}
-164773	蹲点	119757	36466	2	{v=8, vd=0, vn=0}
-164774	顾虑重	127450	192956	1	null
-164775	顾虑重重	65536	164774	3	{l=1}
-164776	顾问团	65536	196953	3	{n=0}
-164777	大踏	72794	22823	1	null
-164778	邦政	134740	37030	1	null
-164779	销售价	65536	165478	3	{n=0}
-164780	顾面子	65536	197325	3	{l=0}
-164781	顿开茅	142160	169051	1	null
-164782	顿开茅塞	65536	164781	3	{i=0}
-164783	整顿	65536	25972	3	{v=74, vn=28}
-164784	果如	98889	26524	1	null
-164785	猪婆	93625	29482	1	null
-164786	顿挫疗	136927	170118	1	null
-164787	通风机	65536	231706	3	{n=0}
-164788	顿挫疗法	65536	164786	3	{l=0}
-164789	顿涅茨	143982	172768	1	null
-164790	页岩	65536	39029	3	{n=0}
-164791	蔫蔫	130550	34091	2	{z=0}
-164792	迸溅	65536	36856	3	{v=0}
-164793	顿涅茨克	140765	164789	1	null
-164794	走私货	65536	213752	3	{n=0}
-164795	顿涅茨克州	65536	164793	3	{ns=0}
-164796	走私贩	124109	213752	1	null
-164797	顿足捶	131784	181006	1	null
-164798	林火	65536	26519	3	{n=0}
-164799	祖父	112382	31062	2	{n=4}
-164800	顿足捶胸	65536	164797	3	{i=0}
-164801	童叟	115462	31461	1	null
-164802	安隆	77402	23433	1	null
-164803	蛮荒	65536	34542	3	{a=0, an=1, n=0}
-164804	遂溪	65536	36930	3	{ns=0}
-164805	颀长	65536	39040	3	{z=0}
-164806	颁奖会	65536	166255	3	{n=2}
-164807	镍氢	65536	38221	3	{n=1}
-164808	残墙	100420	27531	1	null
-164809	赠与	123810	36192	2	{v=1}
-164810	颁证会	65536	179162	3	{n=3}
-164811	暴躁	65536	26292	3	{a=0}
-164812	颂古非	144646	164818	1	null
-164813	至上	65536	33267	3	{v=2}
-164814	踏上	65536	36367	3	{v=0}
-164815	牙周	104751	29273	1	null
-164816	颂古非今	65536	164812	3	{i=0}
-164817	羞羞	113554	32670	1	null
-164818	颂古	126062	39042	1	null
-164819	预产期	65536	213854	3	{n=1, t=1}
-164820	电子炉	65536	192405	3	{n=0}
-164821	订价	65536	35746	3	{n=0}
-164822	支行	65536	25903	3	{n=17}
-164823	预付款	65536	213903	3	{n=1}
-164824	教本	65536	25945	3	{n=0}
-164825	预制构件	65536	169648	3	{l=0}
-164826	韭菜	65536	38893	3	{n=0}
-164827	遗传物	122575	210083	1	null
-164828	预加工	65536	214871	3	{v=0}
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-164830	蜜枣	65536	34588	3	{n=0}
-164831	逮捕权	65536	158575	3	{n=0}
-164832	趁热	130281	36225	1	null
-164833	雄心壮	138722	205581	1	null
-164834	总算	65536	24635	3	{d=4, v=1}
-164835	预埋件	65536	216194	3	{n=0}
-164836	锁头	65536	38145	3	{n=0}
-164837	预处理	65536	216507	3	{vn=0}
-164838	投靠	65536	25237	3	{v=0}
-164839	辣椒	129134	36771	2	{n=7}
-164840	预委会	65536	216715	3	{j=0}
-164841	邻居	65536	37051	3	{n=9}
-164842	颁发	65536	39041	3	{v=43, vn=0}
-164843	详细	65536	35814	3	{a=14, ad=15, an=0}
-164844	总管	65536	24635	3	{n=0, v=0}
-164845	预制品	65536	214765	3	{n=0}
-164846	违例	65536	36829	3	{v=0}
-164847	预定金	65536	217169	3	{n=1}
-164848	预应力	65536	217931	3	{n=3}
-164849	成熟	87757	25104	2	{a=58, ad=0, an=5, v=1}
-164850	预报员	65536	218972	3	{n=0}
-164851	预收款	65536	219629	3	{n=0}
-164852	预测学	65536	221698	3	{n=0}
-164853	预热炉	65536	222628	3	{n=0}
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-164859	战歌	65536	25112	3	{n=0}
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-164862	整风	65536	25972	3	{v=1, vn=5}
-164863	铸工	65536	38136	3	{n=0}
-164864	费事	65536	36153	3	{a=0}
-164865	预言家	65536	229047	3	{n=0}
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-164869	急骤	65536	24613	3	{ad=1}
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-164871	来回	92561	26469	2	{d=0, n=1, v=6, vd=0, vn=0}
-164872	放开	65536	25918	3	{v=30, vd=0, vn=1}
-164873	洗煤	65536	27927	3	{v=0}
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-164875	放弃	65536	25918	3	{v=49}
-164876	蜜柑	65536	34588	3	{n=0}
-164877	教条	98330	25945	2	{n=3, v=0}
-164878	难以启	122320	211429	1	null
-164879	领头人	65536	211192	3	{n=7}
-164880	降落场	65536	209133	3	{n=0}
-164881	西门豹	65536	226976	3	{n=0}
-164882	熟睡	65536	29087	3	{v=4}
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-164884	若要	128882	33509	1	null
-164885	蜜柚	65536	34588	3	{n=2}
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-164887	领奖台	65536	211226	3	{n=4}
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-164889	耍流	118145	32781	1	null
-164890	预防注	141318	232169	1	null
-164891	铸币	65536	38136	3	{n=0, v=0}
-164892	醋栗	65536	37259	3	{n=0}
-164893	铁路法	65536	230406	3	{n=2}
-164894	领导人员	65536	165082	3	{n=1}
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-164896	泥塑	102527	27877	2	{n=1}
-164897	赠书	65536	36192	3	{v=1, vn=2}
-164898	缩放	124404	32553	1	null
-164899	猛醒	65536	29467	3	{v=0, vn=0}
-164900	领导有方	65536	171305	3	{l=2}
-164901	领导班子	65536	174605	3	{n=66}
-164902	裙带菜	65536	152739	3	{n=0}
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-164904	遮光罩	65536	160749	3	{n=0}
-164905	领带卡	65536	212458	3	{n=0}
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-164907	杂文	84742	26434	2	{n=17}
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-164909	干菜	65536	24178	3	{n=0}
-164910	领海权	65536	216379	3	{n=0}
-164911	心房	65536	24515	3	{n=0}
-164912	领航员	65536	221678	3	{n=0}
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-164935	艳诗	65536	33395	3	{n=0}
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-164939	工读	78253	24037	1	null
-164940	改过	84681	25913	2	{v=0}
-164941	提琴	65536	25552	3	{n=0}
-164942	非同儿	139001	219547	1	null
-164943	续订	65536	32493	3	{v=0}
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-164945	至于	65536	33267	3	{c=0, p=32, v=0}
-164946	颖悟	65536	39062	3	{a=0}
-164947	责任区	65536	159811	3	{n=0, s=1}
-164948	颗粒	143892	39063	2	{n=3}
-164949	秘闻	65536	31192	3	{n=0}
-164950	颗粒剂	65536	164948	3	{n=1}
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-164952	表演艺	125306	205650	1	null
-164953	题海战	138540	182373	1	null
-164954	浅青	96252	27973	1	null
-164955	题海战术	65536	164953	3	{n=0}
-164956	误报	124080	35823	1	null
-164957	颚裂	65536	39066	3	{n=2}
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-164959	求助	107306	27714	2	{v=2, vn=4}
-164960	改进	65536	25913	3	{v=54, vn=6}
-164961	推移	65536	25512	3	{vn=3}
-164962	河坝	65536	27827	3	{n=0}
-164963	狂放	65536	29378	3	{v=0}
-164964	额手称	140768	167600	1	null
-164965	接种	65536	25509	3	{v=0, vn=0}
-164966	额手称庆	65536	164964	3	{i=1}
-164967	至交	65536	33267	3	{n=0}
-164968	泥墙	65536	27877	3	{n=0, v=0}
-164969	集团型	65536	205865	3	{b=0, n=1}
-164970	雇员	65536	38599	3	{n=4, vn=1}
-164971	胜利	120313	32988	2	{ad=0, nr=0, nz=6, v=27, vd=16, vn=53}
-164972	防洪措	135960	223549	1	null
-164973	辍笔	65536	36749	3	{v=0}
-164974	羞耻	120627	32670	2	{n=1}
-164975	颅腔	65536	39045	3	{n=0}
-164976	颞颥	65536	39070	3	{n=0}
-164977	颟顸	65536	39071	3	{a=0}
-164978	颠三倒	142744	165051	1	null
-164979	颠三倒四	65536	164978	3	{i=0}
-164980	开播	65536	24320	3	{v=2}
-164981	至亲	125102	33267	2	{n=0}
-164982	天车	65536	22825	3	{n=0}
-164983	讨嫌	65536	35752	3	{a=0}
-164984	造纸术	65536	204381	3	{n=0}
-164985	放影	91582	25918	1	null
-164986	胜券	65536	32988	3	{n=1}
-164987	预备役	65536	216510	3	{n=4}
-164988	颠倒是非	65536	164991	3	{i=0}
-164989	读书社	65536	160659	3	{n=0}
-164990	蜜桃	65536	34588	3	{n=1}
-164991	颠倒是	126238	165572	1	null
-164992	歌王	65536	27468	3	{n=1}
-164993	算总	105979	31639	1	null
-164994	辽宁队	65536	168505	3	{n=2, nt=10}
-164995	造纸机	65536	204381	3	{n=0}
-164996	天轴	65536	22825	3	{n=0}
-164997	拉油	87001	25289	1	null
-164998	艺妓	65536	33402	3	{n=0}
-164999	颠倒黑白	65536	179489	3	{i=0}
-165000	鄂托	138339	37122	1	null
-165001	睡醒	65536	30561	3	{v=0}
-165002	铆接	65536	38086	3	{v=0}
-165003	颠扑不	136227	170243	1	null
-165004	颠来倒	143574	171543	1	null
-165005	至今	65536	33267	3	{d=67, v=1}
-165006	改选	65536	25913	3	{v=1, vn=0}
-165007	蜜桔	65536	34588	3	{n=0}
-165008	颠扑不灭	65536	165003	3	{i=0}
-165009	颠来倒去	65536	165004	3	{i=1}
-165010	颠沛流	133849	172877	1	null
-165011	贴心	134571	36148	2	{a=3}
-165012	颠沛流离	65536	165010	3	{i=0}
-165013	安静	65536	23433	3	{a=5}
-165014	熟知	65536	29087	3	{v=5, vn=1}
-165015	颤巍巍	65536	168130	3	{z=1}
-165016	颤悠悠	65536	168853	3	{z=1}
-165017	成片	65536	25104	3	{b=0, d=1, v=2, vn=0}
-165018	安非	84988	23433	1	null
-165019	费伦	132224	36153	1	null
-165020	整饬	65536	25972	3	{v=0}
-165021	颤抖抖	65536	169355	3	{z=0}
-165022	遮阳板	65536	178391	3	{n=0}
-165023	纪念封	65536	157968	3	{n=1}
-165024	眉纹	65536	30473	3	{n=0}
-165025	拉法	83037	25289	1	null
-165026	颤颤巍巍	65536	165031	3	{z=1}
-165027	颤颤悠悠	65536	165754	3	{z=0}
-165028	熟石	104414	29087	1	null
-165029	改造	65536	25913	3	{n=2, v=74, vn=81}
-165030	炮车	65536	28846	3	{n=0}
-165031	颤颤巍	141013	183193	1	null
-165032	断言	65536	26029	3	{v=2, vn=0}
-165033	时宜	65536	26102	3	{n=0}
-165034	颧骨	65536	39079	3	{n=0}
-165035	苍古	65536	33485	3	{a=0}
-165036	风中之	136146	224863	1	null
-165037	风中之烛	65536	165036	3	{l=0}
-165038	风云不测	65536	165288	3	{i=0}
-165039	风云二号	65536	165415	3	{nz=2}
-165040	炮轰	65536	28846	3	{v=0}
-165041	跟头	65536	36319	3	{n=1}
-165042	纳米	115828	32435	2	{n=3, q=1}
-165043	男士	65536	30007	3	{n=6}
-165044	暗探	65536	26263	3	{n=0, v=0}
-165045	风云人物	65536	165461	3	{i=4}
-165046	手榴	90152	25163	1	null
-165047	蠕蠕	65536	34837	3	{z=0}
-165048	男声	65536	30007	3	{n=2}
-165049	运动场	65536	182535	3	{n=2}
-165050	林照	65536	26519	3	{nr=0}
-165051	颠三	144480	39072	1	null
-165052	鄂伦春族	65536	159139	3	{nz=2}
-165053	风云变幻	65536	166771	3	{i=4}
-165054	颓丧	65536	39059	3	{a=0}
-165055	闻喜	140335	38395	2	{ns=1}
-165056	风云突变	65536	176668	3	{i=1}
-165057	追根问	133815	205623	1	null
-165058	物种	65536	29289	3	{n=13}
-165059	蜀葵	65536	34560	3	{n=0}
-165060	方庄	65536	26041	3	{ns=1}
-165061	调节税	65536	222377	3	{n=0}
-165062	风云际会	65536	183776	3	{i=1}
-165063	艺委	128116	33402	1	null
-165064	风俗人情	65536	165068	3	{i=0}
-165065	天边	65536	22825	3	{s=3}
-165066	风信子	65536	225299	3	{n=0}
-165067	放心	93794	25918	2	{ad=0, v=26, vd=1, vn=8}
-165068	风俗人	140291	225289	1	null
-165069	霸占	65536	38712	3	{v=1}
-165070	风光一时	65536	165090	3	{i=0}
-165071	曲突	97336	26354	1	null
-165072	风光旖旎	65536	171192	3	{i=1}
-165073	风凉话	65536	225787	3	{n=0}
-165074	风剥雨	130645	225943	1	null
-165075	请便	65536	35831	3	{v=0}
-165076	辽东	128720	36797	2	{ns=1}
-165077	风剥雨蚀	65536	165074	3	{l=1}
-165078	风动工具	65536	165079	3	{l=0}
-165079	风动工	144223	226010	1	null
-165080	改道	65536	25913	3	{v=1, vn=0}
-165081	阜平	140445	38428	2	{ns=4}
-165082	领导人	143302	211904	2	{n=184}
-165083	统帅	107055	32479	2	{n=0, v=0}
-165084	推究	65536	25512	3	{v=0}
-165085	风华正	131548	226176	1	null
-165086	风华正茂	65536	165085	3	{i=1}
-165087	防水层	65536	223303	3	{n=0}
-165088	遏止	65536	36943	3	{v=1, vn=1}
-165089	风华绝代	65536	170071	3	{i=1}
-165090	风光一	138968	225659	1	null
-165091	风卷残	144979	226217	1	null
-165092	风卷残云	65536	165091	3	{i=0}
-165093	辽中	135575	36797	1	null
-165094	风口浪	141521	226325	1	null
-165095	风口浪尖	65536	165094	3	{l=0}
-165096	试验片	65536	214335	3	{n=0}
-165097	风向图	65536	226371	3	{n=0}
-165098	风吹日	138905	226411	1	null
-165099	风吹日晒	65536	165098	3	{i=0}
-165100	面包干	65536	215226	3	{n=0}
-165101	纳粮	65536	32435	3	{v=0}
-165102	绥阳	122774	32485	1	null
-165103	接穗	65536	25509	3	{n=0}
-165104	锈病	65536	38152	3	{n=1}
-165105	求医	65536	27714	3	{v=4}
-165106	诡计	130719	35809	2	{n=0}
-165107	肺脏	65536	32954	3	{n=0}
-165108	教案	65536	25945	3	{n=1}
-165109	风吹草低见	135842	165115	1	null
-165110	开支	65536	24320	3	{n=31, v=5, vn=4}
-165111	肺脓	113591	32954	1	null
-165112	纳粹	65536	32435	3	{n=11, nz=0}
-165113	片麻	109826	29255	1	null
-165114	粮库	65536	31918	3	{n=3}
-165115	风吹草低	129844	172622	1	null
-165116	蟾蜍	65536	34814	3	{n=0}
-165117	风吹草低见牛	132469	165109	1	null
-165118	粮店	65536	31918	3	{n=3}
-165119	风吹草低见牛羊	65536	165117	3	{l=1, n=0}
-165120	大车	65536	22823	3	{n=3}
-165121	胜势	65536	32988	3	{n=1}
-165122	村支	103406	26449	1	null
-165123	风味菜	65536	226469	3	{n=0}
-165124	除旧更	136805	204344	1	null
-165125	开放	87792	24320	2	{a=16, ad=0, an=0, v=265, vn=76}
-165126	风吹雨打	65536	177645	3	{i=2}
-165127	锻工	123046	38203	2	{n=0}
-165128	排联	65536	25490	3	{j=4}
-165129	风和日	145103	226494	1	null
-165130	大轰	77465	22823	1	null
-165131	收工	65536	25910	3	{v=0, vn=0}
-165132	风和日丽	65536	165129	3	{i=3}
-165133	风土人情	65536	165156	3	{i=1}
-165134	大轴	76921	22823	1	null
-165135	足掌	65536	36275	3	{n=3}
-165136	祖率	65536	31062	3	{n=0}
-165137	面包店	65536	215226	3	{n=1}
-165138	职业	126040	32844	2	{b=0, n=82}
-165139	酣睡	65536	37219	3	{v=0}
-165140	略表	112813	30053	2	{n=0}
-165141	肉食鸡	65536	208294	3	{n=0}
-165142	母爱	65536	27597	3	{n=13}
-165143	风土民情	65536	172667	3	{i=0}
-165144	终止	112205	32456	2	{v=6, vn=0}
-165145	诡诈	65536	35809	3	{a=0}
-165146	颖慧	65536	39062	3	{a=0}
-165147	赭黄	121805	36205	2	{b=0}
-165148	大辂	73408	22823	1	null
-165149	谬种	126195	35884	2	{n=0}
-165150	监牢	65536	30417	3	{n=0}
-165151	规划	131224	35268	2	{n=58, v=33, vn=28}
-165152	自卫队	65536	207515	3	{n=2, nr=0}
-165153	雏型	65536	38607	3	{n=0}
-165154	风声鹤	143346	227618	1	null
-165155	手模	65536	25163	3	{n=0}
-165156	风土人	140360	227153	1	null
-165157	风声鹤唳	65536	165154	3	{i=0}
-165158	规则	65536	35268	3	{a=1, an=0, n=26, vn=0}
-165159	时尚	65536	26102	3	{n=18}
-165160	收市	65536	25910	3	{v=7}
-165161	河堤	65536	27827	3	{n=1}
-165162	激起	65536	28608	3	{v=6}
-165163	英雄豪	122724	210905	1	null
-165164	风媒花	65536	228036	3	{n=0}
-165165	韩元	65536	38889	3	{n=4, q=4}
-165166	绵软	65536	32501	3	{a=0, ad=0}
-165167	改邪	93541	25913	1	null
-165168	天造	78474	22825	1	null
-165169	风尘仆	145004	228426	1	null
-165170	风尘仆仆	65536	165169	3	{i=3}
-165171	致敬	65536	33268	3	{v=3}
-165172	风平浪	126429	229029	1	null
-165173	肺腑	126511	32954	2	{n=1}
-165174	风平浪静	65536	165172	3	{i=2}
-165175	点儿	65536	28857	3	{m=0, n=0, q=3}
-165176	缺勤	65536	32570	3	{vn=0}
-165177	钢笔水	65536	217830	3	{n=0}
-165178	猎鹰	107976	29454	2	{n=0, nz=0}
-165179	男女	111968	30007	2	{b=0, n=28}
-165180	繁文	110506	32321	1	null
-165181	激越	65536	28608	3	{a=2, an=1, n=0, vn=0}
-165182	葡萄牙语	65536	157951	3	{nz=0}
-165183	贴息	118575	36148	2	{n=2, v=1, vn=0}
-165184	背水阵	65536	193273	3	{n=0}
-165185	超导电	130862	207163	1	null
-165186	风度翩	132444	229080	1	null
-165187	大辩	65826	22823	1	null
-165188	瓦刀	65536	29926	3	{n=0}
-165189	风度翩翩	65536	165186	3	{l=0}
-165190	风急浪	142369	229463	1	null
-165191	隆化	141492	38534	1	null
-165192	风急浪大	65536	165190	3	{l=0}
-165193	查体	65536	26597	3	{v=1}
-165194	风情万	134015	229623	1	null
-165195	谎称	65536	35854	3	{v=0}
-165196	风情万种	65536	165194	3	{i=0}
-165197	时局	65536	26102	3	{n=0}
-165198	赖皮	65536	36182	3	{n=0}
-165199	方式	65536	26041	3	{n=314}
-165200	风景如画	65536	166878	3	{i=1}
-165201	迟浩	127826	36831	1	null
-165202	开斋	76788	24320	2	{v=0}
-165203	风暴潮	65536	231142	3	{n=1}
-165204	风格各	140883	231534	1	null
-165205	风格各异	65536	165204	3	{l=3}
-165206	辩白	65536	36777	3	{vn=0}
-165207	时届	65536	26102	3	{v=1}
-165208	雀斑	65536	38592	3	{n=0}
-165209	风正一	141140	232341	1	null
-165210	风正一帆	140466	165209	1	null
-165211	请假	65536	35831	3	{v=3}
-165212	集成度	65536	208727	3	{n=0}
-165213	河塘	65536	27827	3	{n=0}
-165214	风正一帆悬	65536	165210	3	{i=0}
-165215	风水宝	142896	232550	1	null
-165216	风水宝地	65536	165215	3	{i=0}
-165217	大过	65536	22823	3	{n=0}
-165218	大迈	65904	22823	1	null
-165219	天道	65538	22825	2	{n=1}
-165220	行李袋	65536	212694	3	{n=0}
-165221	风油精	65536	232683	3	{n=0}
-165222	风流云散	65536	165231	3	{i=0}
-165223	胸像	65536	33016	3	{n=0}
-165224	平舆	87858	24179	1	null
-165225	风流人物	65536	165272	3	{i=0}
-165226	大运	72477	22823	1	null
-165227	监犯	65536	30417	3	{n=0}
-165228	萨姆	65536	33832	3	{n=0}
-165229	支解	65536	25903	3	{v=0}
-165230	跨国	134964	36328	2	{b=14, d=1, v=1, vn=0}
-165231	风流云	139267	232819	1	null
-165232	风流韵事	65536	184019	3	{l=0}
-165233	说明符	65536	206723	3	{n=0}
-165234	提留	89775	25552	2	{v=1, vn=0}
-165235	风火墙	65536	233629	3	{n=0}
-165236	风烛残	141059	233741	1	null
-165237	风湿热	65536	233137	3	{n=0}
-165238	大远	65536	22823	3	{j=0}
-165239	风烛残年	65536	165236	3	{i=1}
-165240	大连	76258	22823	2	{ns=50}
-165241	风狂雨	125654	234228	1	null
-165242	风狂雨骤	65536	165241	3	{l=0}
-165243	额外	65536	39069	3	{b=1, d=0}
-165244	风疹块	65536	234987	3	{n=0}
-165245	袒露	65536	34962	3	{v=1}
-165246	果子	96343	26524	2	{n=1}
-165247	风纪扣	65536	237276	3	{n=0}
-165248	开方	65536	24320	3	{v=1}
-165249	更鼓	65536	26356	3	{n=0}
-165250	迅猛	65536	36805	3	{a=14, ad=9, d=0}
-165251	诡谲	65536	35809	3	{a=1, ad=0, an=0}
-165252	战法	65536	25112	3	{n=4}
-165253	风花雪	138893	238307	1	null
-165254	甜美	65536	29980	3	{a=1, an=0}
-165255	违禁物	135955	175588	1	null
-165256	工贸	65536	24037	3	{j=5}
-165257	道德法	134428	208902	1	null
-165258	遮拦	65536	36974	3	{v=0}
-165259	对齐	65536	23545	3	{v=0}
-165260	工贼	65536	24037	3	{n=0}
-165261	邪教	65536	37034	3	{n=0}
-165262	窗子	65536	31383	3	{n=0}
-165263	缺医	121099	32570	1	null
-165264	雍容	142083	38605	2	{z=1}
-165265	遇救	65536	36935	3	{v=0}
-165266	雪里蕻	65536	230926	3	{n=0}
-165267	电子版	65536	192405	3	{n=0}
-165268	工资	87301	24037	2	{n=85}
-165269	风花雪月	65536	165253	3	{i=0}
-165270	风景区	65536	231073	3	{n=4}
-165271	风行一	139174	239742	1	null
-165272	风流人	135936	232819	1	null
-165273	额头	65536	39069	3	{n=2}
-165274	锦州湾	65536	173800	3	{ns=0}
-165275	面目全	125578	224419	1	null
-165276	风行一时	65536	165271	3	{i=0}
-165277	颤动	65536	39076	3	{v=2, vn=0}
-165278	风行草偃	65536	178912	3	{i=0}
-165279	风言风	129460	240178	1	null
-165280	大逆	80324	22823	1	null
-165281	风言风语	65536	165279	3	{i=1}
-165282	方形	65536	26041	3	{n=4}
-165283	大选	65536	22823	3	{n=1, v=13, vn=21}
-165284	风调雨	126251	240693	1	null
-165285	风调雨顺	65536	165284	3	{i=2}
-165286	裹进	65536	35065	3	{v=0}
-165287	风起云	137250	241065	1	null
-165288	风云不	137059	224963	1	null
-165289	耍滑	65536	32781	3	{v=0}
-165290	规劝	65536	35268	3	{v=2, vn=0}
-165291	永葆	88985	27704	2	{v=1}
-165292	谐美	65536	35856	3	{a=0}
-165293	监狱	109884	30417	2	{n=32}
-165294	风起云涌	65536	165287	3	{i=1}
-165295	风采录	65536	242169	3	{n=0}
-165296	能力	65536	33021	3	{n=329, vn=0}
-165297	蚕眠	65536	34453	3	{n=0}
-165298	风速器	65536	241745	3	{n=0}
-165299	疏落	65536	30095	3	{z=0}
-165300	大通	65604	22823	2	{nz=1}
-165301	校党	101444	26657	1	null
-165302	安顺	65536	23433	3	{ns=1}
-165303	荷花	127267	33655	2	{n=2, ns=0}
-165304	风险性	65536	243355	3	{n=1}
-165305	风雨交加	65536	165903	3	{i=1}
-165306	松动	65536	26494	3	{a=1, v=2, vn=0}
-165307	安顿	65536	23433	3	{a=0, v=2}
-165308	轴瓦	65536	36724	3	{n=0}
-165309	能动	122357	33021	2	{a=1}
-165310	迷迷糊	125989	202539	1	null
-165311	风雨凄凄	65536	166703	3	{i=0}
-165312	风雨同舟	65536	167287	3	{i=3}
-165313	遥测	65536	36965	3	{vn=0}
-165314	求同	104374	27714	2	{v=0}
-165315	职介	120897	32844	2	{j=1}
-165316	松劲	65536	26494	3	{v=1, vn=1}
-165317	遮挡	65536	36974	3	{v=1}
-165318	渔火	65536	28180	3	{n=1}
-165319	风雨如晦	65536	168685	3	{i=0}
-165320	风雨无阻	65536	171851	3	{i=2}
-165321	洪都	104115	27946	1	null
-165322	渔灯	65536	28180	3	{n=0}
-165323	果宝	104002	26524	1	null
-165324	果实	65536	26524	3	{n=8}
-165325	风雨飘摇	65536	184899	3	{i=0}
-165326	突防	65536	31361	3	{v=0}
-165327	风雪交	144177	243484	1	null
-165328	藤牌	65536	34276	3	{n=0}
-165329	风雪交加	65536	165327	3	{l=1}
-165330	风霜雨	126700	243534	1	null
-165331	物竞	110951	29289	1	null
-165332	繁星	65536	32321	3	{n=2}
-165333	开明	65536	24320	3	{a=1, ns=0, nz=0}
-165334	风霜雨雪	65536	165330	3	{i=1}
-165335	螺纹	65536	34746	3	{n=2}
-165336	风靡一	139240	243603	1	null
-165337	狂暴	65536	29378	3	{a=1}
-165338	遵奉	65536	36981	3	{v=0}
-165339	职代	125805	32844	1	null
-165340	重机枪	65536	222112	3	{n=0}
-165341	螺线	119686	34746	1	null
-165342	风靡一时	65536	165336	3	{i=0}
-165343	风韵犹	141961	243751	1	null
-165344	校内	65536	26657	3	{s=2}
-165345	风韵犹存	65536	165343	3	{i=0}
-165346	着眼	118539	30528	2	{n=0, v=41}
-165347	小毛	65536	23567	3	{n=0, nr=0}
-165348	瓦加	108869	29926	1	null
-165349	风风火火	65536	165351	3	{i=2, j=0, l=0}
-165350	着着	115193	30528	1	null
-165351	风风火	136570	243968	1	null
-165352	风风雨雨	65536	175204	3	{i=5, n=1}
-165353	螺旋藻	65536	158953	3	{n=0}
-165354	风餐露	141868	244034	1	null
-165355	风餐露宿	65536	165354	3	{i=1}
-165356	开春	65536	24320	3	{t=2, v=0}
-165357	大道	70604	22823	2	{n=21}
-165358	瓦努	96871	29926	1	null
-165359	风马牛	145381	244382	1	null
-165360	贡缎	65536	36129	3	{n=0}
-165361	诤臣	65536	35812	3	{n=0}
-165362	风马牛不	134909	165359	1	null
-165363	点击	106618	28857	1	null
-165364	航天	126936	33322	2	{n=59}
-165365	风马牛不相	143916	165362	1	null
-165366	风马牛不相及	65536	165365	3	{i=1, l=0, n=0}
-165367	风驰电	139863	244386	1	null
-165368	醒目	65536	37266	3	{a=16}
-165369	航空站	65536	173893	3	{n=0}
-165370	风驰电掣	65536	165367	3	{i=0}
-165371	干薪	65536	24178	3	{n=0}
-165372	飒爽英	142339	165644	1	null
-165373	推算	65536	25512	3	{v=2, vn=0}
-165374	山谷	65536	23665	3	{n=2}
-165375	罪过	65536	32618	3	{n=0}
-165376	求告	65536	27714	3	{vn=0}
-165377	耄耋高	104948	145776	1	null
-165378	飒爽英姿	65536	165372	3	{l=1}
-165379	飓风	65536	39123	3	{n=0}
-165380	锁孔	65536	38145	3	{n=0}
-165381	飒然	65536	39122	3	{d=0}
-165382	臀鳍	65536	33216	3	{n=0}
-165383	飕飕	65536	39125	3	{o=1}
-165384	长治市	65536	226412	3	{ns=1}
-165385	飘洋过	137364	204757	1	null
-165386	王国	65536	29579	3	{n=7}
-165387	飘洋过海	65536	165385	3	{i=1}
-165388	通讯杯	65536	228347	3	{nz=0}
-165389	山豆	81139	23665	1	null
-165390	避孕片	65536	166844	3	{n=2}
-165391	母猪	65536	27597	3	{n=0}
-165392	腰刀	65536	33136	3	{n=0}
-165393	绥靖	124188	32485	2	{ns=0, v=0}
-165394	飘飘扬扬	65536	165396	3	{v=1}
-165395	闽宁	65536	38397	3	{j=2}
-165396	飘飘扬	140198	215970	1	null
-165397	衬纸	65536	34924	3	{n=0}
-165398	飘飘欲仙	65536	167642	3	{i=0}
-165399	方志	65536	26041	3	{n=0}
-165400	飙升	65536	39129	3	{v=2, vn=0}
-165401	陪伴	65536	38506	3	{v=7, vd=0, vn=0}
-165402	飞利浦	65536	213922	3	{nz=1}
-165403	河外	102247	27827	1	null
-165404	小气	86457	23567	2	{a=1}
-165405	飞天奖	65536	215714	3	{nz=1}
-165406	飞将军	65536	216447	3	{n=0}
-165407	训练	132816	35757	2	{v=20, vn=62}
-165408	湖边	65536	28246	3	{s=6}
-165409	校准	65536	26657	3	{v=0}
-165410	男婚	113253	30007	1	null
-165411	甘南	101157	29976	1	null
-165412	飞扬拔扈	65536	165413	3	{i=0}
-165413	飞扬拔	140252	218085	1	null
-165414	象湖	65536	35937	3	{ns=0}
-165415	风云二	143544	224963	1	null
-165416	点到	112563	28857	1	null
-165417	飞扬跋扈	65536	176412	3	{i=0}
-165418	蓄谋	65536	33988	3	{v=0}
-165419	大邑	78870	22823	2	{ns=1}
-165420	闯将	65536	38383	3	{n=0}
-165421	艺术节	65536	168482	3	{n=7}
-165422	树欲	85663	26641	1	null
-165423	飞檐走	142704	220169	1	null
-165424	金丝燕	65536	217055	3	{n=0}
-165425	飞檐走壁	65536	165423	3	{i=0}
-165426	飞毛腿	65536	220500	3	{n=0}
-165427	飞来峡	65536	219358	3	{ns=0}
-165428	飞沙走	134725	220690	1	null
-165429	开普	84242	24320	1	null
-165430	来复	97104	26469	1	null
-165431	缺口	65536	32570	3	{n=9}
-165432	飞沙走石	65536	165428	3	{i=1}
-165433	接管	65536	25509	3	{v=8, vn=2}
-165434	长方形	65536	224618	3	{n=2}
-165435	飞流直	145458	220858	1	null
-165436	男婴	65536	30007	3	{n=0}
-165437	飞流直下	145464	165435	1	null
-165438	零用钱	65536	216825	3	{n=1}
-165439	酷暑	65536	37239	3	{n=5}
-165440	贴慰	65536	36148	3	{v=1}
-165441	飞流直下三	144129	165437	1	null
-165442	求和	65536	27714	3	{v=0, vn=0}
-165443	抗雪	89447	25239	1	null
-165444	飞流直下三千	141838	165441	1	null
-165445	职位	65536	32844	3	{n=8}
-165446	醒眼	65536	37266	3	{a=0}
-165447	迪斯科	65536	159805	3	{n=0}
-165448	飞流直下三千尺	65536	165444	3	{i=0}
-165449	年轮	65536	24180	3	{n=3}
-165450	锁定	65536	38145	3	{v=1}
-165451	邻座	65536	37051	3	{n=0}
-165452	飞机场	65536	219315	3	{n=1}
-165453	遮掩	65536	36974	3	{v=1, vn=1}
-165454	飞潜动	138562	221397	1	null
-165455	飞潜动植	65536	165454	3	{l=0}
-165456	陷坑	65536	38519	3	{n=0}
-165457	飞短流	127189	223590	1	null
-165458	阔大	65536	38420	3	{a=0}
-165459	平英	87056	24179	1	null
-165460	飞短流长	65536	165457	3	{i=0}
-165461	风云人	135756	224963	1	null
-165462	年轻	89293	24180	2	{a=88, an=1}
-165463	极量	65536	26497	3	{n=0}
-165464	走马疳	65536	222115	3	{n=0}
-165465	飞砂走	134760	223611	1	null
-165466	静电感	139785	210296	1	null
-165467	飞砂走石	65536	165465	3	{i=0}
-165468	河套	65536	27827	3	{n=1}
-165469	来头	65536	26469	3	{f=0, n=0}
-165470	飞禽走	144610	224054	1	null
-165471	飞禽走兽	65536	165470	3	{i=2}
-165472	抗震	90785	25239	2	{v=4, vn=25}
-165473	飞虎队	65536	227271	3	{n=0, nz=1}
-165474	还原焰	65536	187358	3	{n=0}
-165475	年辈	65536	24180	3	{n=0}
-165476	瓦匠	65536	29926	3	{n=0}
-165477	校刊	65536	26657	3	{n=0}
-165478	销售	144564	38144	2	{n=1, v=73, vn=119}
-165479	裤线	65536	35044	3	{n=0}
-165480	小池	65536	23567	3	{nr=0}
-165481	靶子	65536	38774	3	{n=0}
-165482	放慢	65536	25918	3	{v=15, vn=2}
-165483	飞蛾投	136705	227447	1	null
-165484	飞蛾投火	65536	165483	3	{i=0}
-165485	略见	116392	30053	1	null
-165486	飞行公里	139520	166776	1	null
-165487	诸君	65536	35832	3	{n=0}
-165488	飞行公里数	65536	165486	3	{n=1}
-165489	江东	106591	27743	2	{ns=0}
-165490	飞车走	142770	229599	1	null
-165491	飞车走壁	65536	165490	3	{l=0}
-165492	裂纹	65536	35010	3	{n=0}
-165493	飞针走	133047	230913	1	null
-165494	飞针走线	65536	165493	3	{i=0}
-165495	统御	65536	32479	3	{v=0}
-165496	飞黄腾	128704	233533	1	null
-165497	脊椎骨	65536	147859	3	{n=1}
-165498	沉井	65536	27785	3	{n=0}
-165499	收录	91425	25910	2	{v=11, vn=1}
-165500	自动铅	116078	207320	1	null
-165501	组织部	105336	172048	2	{n=14, nt=1}
-165502	飞黄腾达	65536	165496	3	{i=0}
-165503	食不果	132360	208390	1	null
-165504	账本	65536	36134	3	{n=0}
-165505	食不果腹	65536	165503	3	{i=0}
-165506	大部	79313	22823	2	{m=71, n=4}
-165507	食不甘味	65536	168955	3	{i=1}
-165508	食变星	65536	209873	3	{n=0}
-165509	小汽	70250	23567	1	null
-165510	誓约	65536	35475	3	{n=0}
-165511	残存	65536	27531	3	{v=0}
-165512	食古不	144243	209885	1	null
-165513	食古不化	65536	165512	3	{i=0}
-165514	食心虫	65536	212924	3	{n=0}
-165515	荣宗	116803	33635	1	null
-165516	食文化	65536	214400	3	{n=0}
-165517	食杂店	65536	214843	3	{n=0}
-165518	试验班	65536	214335	3	{n=0}
-165519	蛋白	127532	34507	2	{n=12}
-165520	设卡	65536	35774	3	{v=1}
-165521	荣宝	123581	33635	1	null
-165522	递减	133678	36882	2	{v=1, vn=3}
-165523	蜜橘	65536	34588	3	{n=0}
-165524	食欲不	140135	215851	1	null
-165525	断语	65536	26029	3	{n=0}
-165526	食欲不振	65536	165524	3	{l=0}
-165527	大都	80311	22823	2	{d=33, ns=0}
-165528	谄笑	65536	35844	3	{v=0}
-165529	轰炸	130214	36720	2	{v=1, vn=0}
-165530	食品厂	65536	210106	3	{n=4}
-165531	洪量	65536	27946	3	{n=0}
-165532	静脉注	140455	213324	1	null
-165533	食火鸡	65536	217188	3	{n=0}
-165534	那么样	65536	196256	3	{r=0}
-165535	纪念币	65536	157968	3	{n=7}
-165536	防水布	65536	223303	3	{n=0}
-165537	食物中毒	65536	165541	3	{l=1}
-165538	年过	88118	24180	1	null
-165539	年迈	89142	24180	2	{z=2}
-165540	食管癌	65536	220058	3	{n=0}
-165541	食物中	137935	217698	1	null
-165542	食而不	144277	221189	1	null
-165543	食用油	65536	218401	3	{n=3}
-165544	猪崽	65536	29482	3	{n=2}
-165545	焦枯	65536	28966	3	{z=0}
-165546	祸起	106355	31096	1	null
-165547	食而不化	65536	165542	3	{i=1}
-165548	年近	75997	24180	1	null
-165549	食茱萸	65536	221994	3	{n=0}
-165550	食草动	136262	222018	1	null
-165551	食草动物	65536	165550	3	{n=0}
-165552	耐火	119419	32784	2	{b=1}
-165553	松原	65536	26494	3	{ns=0}
-165554	抗静	85384	25239	1	null
-165555	美术馆	65536	197359	3	{n=8}
-165556	豆腐皮	65536	191174	3	{n=0}
-165557	食蚁兽	65536	222842	3	{n=0}
-165558	食言而	132627	223737	1	null
-165559	手段	65536	25163	3	{n=148}
-165560	食言而肥	65536	165558	3	{i=0}
-165561	陆海空	65536	190392	3	{j=1}
-165562	飨客	65536	39144	3	{v=0}
-165563	小河	83587	23567	2	{n=3}
-165564	衰落	65536	34928	3	{v=0, vn=1}
-165565	阴阳家	65536	228831	3	{n=0}
-165566	餐具柜	65536	173052	3	{n=0}
-165567	月明	99141	26376	1	null
-165568	餐巾纸	65536	176259	3	{n=0}
-165569	餐费票	65536	188350	3	{n=1}
-165570	监理	116165	30417	2	{j=0, n=0, v=2, vn=4}
-165571	开曼	77526	24320	2	{ns=3}
-165572	颠倒	138832	39072	2	{v=0, vn=0}
-165573	熟稔	65536	29087	3	{a=1}
-165574	迟滞	65536	36831	3	{a=1, v=0}
-165575	餐风宿	126944	191315	1	null
-165576	礼拜	120649	31036	2	{n=0}
-165577	饕餮	145540	39253	1	null
-165578	餐风宿雪	65536	165575	3	{l=1}
-165579	蜂毒	65536	34562	3	{n=0}
-165580	育雏	124409	32946	2	{v=0}
-165581	胃病	65536	32963	3	{n=1}
-165582	青铜峡	65536	235072	3	{n=0}
-165583	饕餮之	141122	165577	1	null
-165584	页心	65536	39029	3	{n=0}
-165585	小泉	65536	23567	3	{nr=0}
-165586	餐饮业	65536	191475	3	{j=0, n=4}
-165587	食道炎	65536	225356	3	{n=0}
-165588	饕餮之徒	65536	165583	3	{i=0}
-165589	饥不择	126459	165613	1	null
-165590	领航图	65536	221678	3	{n=0}
-165591	运费率	65536	197528	3	{n=0}
-165592	裂缝	65536	35010	3	{n=3}
-165593	蹲班	130932	36466	1	null
-165594	饥不择食	65536	165589	3	{i=0}
-165595	饥寒交	144451	169138	1	null
-165596	脸庞	65536	33080	3	{n=3}
-165597	许继	65536	35768	3	{nz=0}
-165598	开朗	65536	24320	3	{a=1}
-165599	饥肠辘	128841	178560	1	null
-165600	管理课	65536	197816	3	{n=3}
-165601	饥肠辘辘	65536	165599	3	{l=0}
-165602	残害	103554	27531	2	{v=3}
-165603	饥寒交加	65536	165595	3	{l=0}
-165604	饧糖	65536	39271	3	{n=0}
-165605	胸前	65536	33016	3	{s=10}
-165606	饭团子	65536	191544	3	{n=0}
-165607	饭来张	144142	195771	1	null
-165608	避蚊油	65536	177905	3	{n=0}
-165609	收心	65536	25910	3	{v=0}
-165610	春心	65536	26149	3	{n=0}
-165611	提盒	65536	25552	3	{n=0}
-165612	大酒	76097	22823	1	null
-165613	饥不	140268	39269	1	null
-165614	山货	65536	23665	3	{n=1}
-165615	普高	65536	26222	3	{j=1}
-165616	小注	65536	23567	3	{n=0}
-165617	饭来张口	65536	165607	3	{i=1}
-165618	暗无	98843	26263	1	null
-165619	开本	65536	24320	3	{n=0}
-165620	跨境	65536	36328	3	{vn=2}
-165621	松口	84964	26494	2	{v=0}
-165622	饮水思源	65536	168116	3	{i=0}
-165623	繁杂	65536	32321	3	{a=2, an=0}
-165624	敌穴	65536	25932	3	{n=0}
-165625	校办	65536	26657	3	{b=0, j=0, vn=1}
-165626	赔偿金	65536	157618	3	{n=4}
-165627	时差	65536	26102	3	{n=3}
-165628	校务	65536	26657	3	{n=0}
-165629	总纲	65536	24635	3	{n=0}
-165630	蛛蛛	65536	34523	3	{n=0}
-165631	饮水器	65536	174415	3	{n=0}
-165632	领事团	65536	208463	3	{n=0}
-165633	开机	65536	24320	3	{v=4, vn=1}
-165634	组方	65536	32452	3	{n=2, v=0, vn=1}
-165635	饮泣吞	142868	174590	1	null
-165636	饮泣吞声	65536	165635	3	{i=0}
-165637	小泽	65536	23567	3	{nr=3}
-165638	月晕	65536	26376	3	{n=0}
-165639	饮用水	65536	176707	3	{n=4}
-165640	饮食疗法	65536	175813	3	{l=0}
-165641	牙垢	65536	29273	3	{n=0}
-165642	总线	65536	24635	3	{n=0}
-165643	霉天	65536	38665	3	{t=0}
-165644	飒爽	131851	39122	2	{z=1}
-165645	开杆	65536	24320	3	{v=0}
-165646	数额	65536	25968	3	{n=13}
-165647	饮食起居	65536	181925	3	{l=0}
-165648	环状	98088	29615	2	{n=0}
-165649	谅解	65536	35845	3	{v=5, vn=3}
-165650	餐风宿露	65536	165575	3	{i=0}
-165651	波茨	106541	27874	1	null
-165652	订制	65536	35746	3	{v=0}
-165653	腰包	65536	33136	3	{n=2}
-165654	手气	65536	25163	3	{n=1}
-165655	轰然	65536	36720	3	{d=1}
-165656	男子	114908	30007	2	{n=70}
-165657	年逾	87982	24180	1	null
-165658	总经	83112	24635	1	null
-165659	赏玩	65536	36175	3	{v=1}
-165660	邪门歪	122022	177692	1	null
-165661	闭幕式	65536	173163	3	{n=1}
-165662	总结	92570	24635	2	{n=7, v=87, vd=0, vn=18}
-165663	泥子	65536	27877	3	{n=0}
-165664	鉴戒	65536	37492	3	{n=0}
-165665	大醇	76746	22823	1	null
-165666	饮鸩止	137455	187204	1	null
-165667	饮鸩止渴	65536	165666	3	{i=0}
-165668	村村	98335	26449	2	{n=6, q=3}
-165669	饰品	65536	39280	3	{n=1}
-165670	闷倦	65536	38391	3	{a=0}
-165671	饯别	65536	39279	3	{v=0}
-165672	责无	128457	36131	1	null
-165673	踏入	65536	36367	3	{v=1}
-165674	总统	92625	24635	2	{n=456}
-165675	饰演者	65536	172408	3	{n=2}
-165676	开来	65536	24320	3	{v=0}
-165677	计价表	65536	169572	3	{n=0}
-165678	饱和溶液	65536	171918	3	{l=0}
-165679	萨安	126047	33832	1	null
-165680	职业高	126035	165138	1	null
-165681	男孩	112780	30007	2	{n=11}
-165682	耐热	124343	32784	2	{a=1}
-165683	校勘	101044	26657	2	{v=0}
-165684	沉住	100472	27785	1	null
-165685	饱学之	142925	178296	1	null
-165686	至关	115979	33267	1	null
-165687	遗传病	65536	210083	3	{n=3}
-165688	饱学之士	65536	165685	3	{i=0}
-165689	暗昧	65536	26263	3	{a=0}
-165690	饱眼福	65536	185422	3	{l=0}
-165691	能否	65536	33021	3	{d=2, v=48}
-165692	饱经忧	140954	187361	1	null
-165693	饱经忧患	65536	165692	3	{i=0}
-165694	饱经沧桑	65536	168956	3	{i=0}
-165695	甘味	65536	29976	3	{n=0}
-165696	饱和器	65536	176542	3	{n=0}
-165697	饱经风霜	65536	180259	3	{i=1}
-165698	饱食终	139614	194033	1	null
-165699	饱食终日	65536	165698	3	{i=1}
-165700	饲料厂	65536	170875	3	{n=4}
-165701	时常	65536	26102	3	{d=14}
-165702	饲养员	65536	165725	3	{n=4}
-165703	明丽	65536	26126	3	{a=0}
-165704	饮食业	65536	185850	3	{n=2}
-165705	饴糖	65536	39284	3	{n=0}
-165706	饵料	65536	39285	3	{n=0}
-165707	饶平县	65536	168280	3	{ns=0}
-165708	饶有兴	129450	170478	1	null
-165709	饶有兴趣	65536	165708	3	{l=3}
-165710	饶有风趣	65536	183974	3	{i=0}
-165711	辐射源	65536	156868	3	{n=1}
-165712	饷银	65536	39287	3	{n=0}
-165713	酥脆	65536	37221	3	{a=0}
-165714	繁枝	109513	32321	1	null
-165715	放手	65536	25918	3	{v=5, vd=1, vn=0}
-165716	胃癌	65536	32963	3	{n=0}
-165717	饺子	135336	39290	2	{n=66}
-165718	饺子皮	65536	165717	3	{n=1}
-165719	支词	65536	25903	3	{n=0}
-165720	比上	106673	27604	1	null
-165721	比下	100279	27604	1	null
-165722	神经错	120031	206548	1	null
-165723	比不	106684	27604	1	null
-165724	饽饽	65536	39293	3	{n=0}
-165725	饲养	144110	39282	2	{v=12, vn=3}
-165726	查全	94651	26597	1	null
-165727	艰险	65536	33392	3	{a=5, an=3}
-165728	心数	65536	24515	3	{n=0}
-165729	总编	76070	24635	2	{n=1}
-165730	饶命	65536	39286	3	{v=0}
-165731	递加	65536	36882	3	{v=0}
-165732	腕骨	65536	33109	3	{n=0}
-165733	饿殍	128800	39295	2	{n=0}
-165734	比丘	103054	27604	1	null
-165735	点卯	65536	28857	3	{v=0}
-165736	大野	65536	22823	3	{n=2}
-165737	大量	65536	22823	3	{d=0, m=231}
-165738	男客	65536	30007	3	{n=0}
-165739	大金	77704	22823	1	null
-165740	饼子	65536	39292	3	{n=1}
-165741	饿殍遍	128418	165733	1	null
-165742	诉至	65536	35785	3	{v=0}
-165743	残局	65536	27531	3	{n=1}
-165744	饿殍遍野	65536	165741	3	{i=0}
-165745	开枪	65536	24320	3	{v=1, vn=0}
-165746	小浪	82755	23567	1	null
-165747	甜腻	102332	29980	1	null
-165748	饿虎扑	126618	172582	1	null
-165749	血丝虫	121239	201406	1	null
-165750	避孕环	65536	166844	3	{n=0}
-165751	长期性	65536	224976	3	{n=3}
-165752	颇具	129648	39047	2	{v=0}
-165753	饿虎扑食	65536	165748	3	{i=0}
-165754	颤颤悠	140291	183193	1	null
-165755	馄饨	65536	39300	3	{n=0}
-165756	提督	65536	25552	3	{n=0}
-165757	开架	85872	24320	2	{v=0, vn=0}
-165758	男家	65536	30007	3	{n=0}
-165759	电子琴	65536	192405	3	{n=0}
-165760	铭文	65536	38125	3	{n=0}
-165761	时年	65536	26102	3	{n=2}
-165762	成田	65536	25104	3	{ns=0}
-165763	防御战	65536	220084	3	{n=0}
-165764	馅儿	126473	39301	2	{n=0}
-165765	馅儿饼	65536	165764	3	{n=0}
-165766	男宾	65536	30007	3	{n=0}
-165767	藤球	65536	34276	3	{n=1}
-165768	记录稿	65536	192502	3	{n=0}
-165769	馆陶县	65536	188652	3	{ns=2}
-165770	馊主	140925	39306	1	null
-165771	绵里	110089	32501	1	null
-165772	馊主意	65536	165770	3	{n=0}
-165773	馈赠	65536	39304	3	{v=1, vn=3}
-165774	激进	111294	28608	2	{a=3, an=0}
-165775	金丝猴	65536	217055	3	{n=2}
-165776	明了	65536	26126	3	{a=0, v=1}
-165777	渔父	65536	28180	3	{n=0}
-165778	讨巧	65536	35752	3	{v=1}
-165779	明争	94531	26126	1	null
-165780	诚朴	65536	35802	3	{an=0}
-165781	馋涎欲	137382	171762	1	null
-165782	校医	65536	26657	3	{n=0}
-165783	颐养	65536	39056	3	{v=0}
-165784	馋嘴	65536	39307	3	{n=0, vn=0}
-165785	西山街	65536	212265	3	{ns=0}
-165786	馋涎欲滴	65536	165781	3	{i=0}
-165787	淡雅	65536	28129	3	{a=3}
-165788	时序	65536	26102	3	{n=1}
-165789	馋猫子	65536	173199	3	{n=0}
-165790	馍馍	65536	39309	3	{n=0}
-165791	馒头	65536	39314	3	{n=5}
-165792	脸形	65536	33080	3	{n=0}
-165793	狼道	65536	29436	3	{n=0}
-165794	舌炎	65536	33292	3	{n=0}
-165795	虽说	65536	34429	3	{c=7}
-165796	首倡者	65536	215504	3	{n=0}
-165797	连续流	65536	219608	3	{n=0}
-165798	首创者	65536	216010	3	{n=1}
-165799	首发式	65536	216448	3	{n=5}
-165800	革命党	65536	166562	3	{n=2}
-165801	暗暗	65536	26263	3	{a=0, d=0}
-165802	首尾相	141594	218605	1	null
-165803	霜天	65536	38684	3	{n=0}
-165804	莽里	116156	33725	1	null
-165805	总罢	88787	24635	1	null
-165806	首尾相应	65536	165802	3	{i=0}
-165807	起早贪	114741	211789	1	null
-165808	走马看	121842	222115	1	null
-165809	首屈一	140464	218615	1	null
-165810	花生酱	65536	216745	3	{n=0}
-165811	请功	65536	35831	3	{v=0, vn=0}
-165812	艰难	121978	33392	2	{a=26, ad=6, an=15}
-165813	毒性	65536	27602	3	{n=1}
-165814	山路	65536	23665	3	{n=11}
-165815	首屈一指	65536	165809	3	{i=3}
-165816	明亮	65536	26126	3	{a=16, an=0, nr=0}
-165817	月月	89644	26376	2	{n=2}
-165818	萨尔	120152	33832	1	null
-165819	首当其	144909	219394	1	null
-165820	查准	94653	26597	1	null
-165821	总署	65536	24635	3	{n=12}
-165822	肠穿	123038	32928	1	null
-165823	首当其冲	133051	165819	2	{i=3}
-165824	首当其冲者	65536	165823	3	{n=1}
-165825	首战告	140363	220103	1	null
-165826	首战告捷	65536	165825	3	{l=1}
-165827	首日封	65536	221076	3	{n=2}
-165828	明人	65536	26126	3	{n=2}
-165829	首映式	65536	221135	3	{n=4}
-165830	首相府	65536	225447	3	{n=2}
-165831	首规委	65536	230259	3	{j=1}
-165832	首迎式	65536	231805	3	{n=2}
-165833	首都在	133387	232108	1	null
-165834	首都在线	65536	165833	3	{l=6}
-165835	首里城	65536	232315	3	{ns=0}
-165836	阿布扎	134778	217030	1	null
-165837	纪纲	65536	32426	3	{n=0}
-165838	开标	65536	24320	3	{v=0, vn=1}
-165839	首饰盒	65536	234271	3	{n=0}
-165840	心无	91701	24515	1	null
-165841	试验田	65536	214335	3	{n=2}
-165842	读报	127258	35835	2	{v=5, vn=2}
-165843	香云纱	65536	218298	3	{n=0}
-165844	香喷喷	65536	220128	3	{z=2}
-165845	速写	65536	36895	3	{n=8}
-165846	开栏	65536	24320	3	{n=1, v=1}
-165847	手法	65536	25163	3	{n=17}
-165848	香扑扑	65536	223354	3	{z=0}
-165849	香日德	127639	224270	1	null
-165850	柳絮	65536	26611	3	{n=0}
-165851	褡裢	65536	35105	3	{n=0}
-165852	月末	65536	26376	3	{t=0}
-165853	站里	65536	31449	3	{n=0}
-165854	香日德镇	65536	165849	3	{ns=0}
-165855	猪年	65536	29482	3	{t=0}
-165856	小淘	79303	23567	1	null
-165857	软骨素	65536	224708	3	{n=0}
-165858	遮放	65536	36974	3	{ns=0}
-165859	香榧子	65536	225232	3	{n=1}
-165860	香椿头	65536	225128	3	{n=0}
-165861	香榭丽	132573	225238	1	null
-165862	赠别	65536	36192	3	{v=0}
-165863	心旷	80745	24515	1	null
-165864	蝴蝶鱼	65536	151293	3	{n=0}
-165865	革命军	65536	166562	3	{n=4}
-165866	香榭丽舍	65536	165861	3	{ns=5}
-165867	香槟酒	65536	225288	3	{n=0}
-165868	春情	65536	26149	3	{n=0}
-165869	明代	65536	26126	3	{t=7}
-165870	明令	89693	26126	2	{n=3, vd=0}
-165871	速决	133386	36895	2	{v=1}
-165872	查出	65536	26597	3	{v=7}
-165873	香气扑	125111	225853	1	null
-165874	香气扑鼻	65536	165873	3	{l=2}
-165875	赠券	65536	36192	3	{n=0}
-165876	村校	65536	26449	3	{n=0}
-165877	香水梨	65536	225885	3	{n=0}
-165878	香河县	65536	226012	3	{ns=0}
-165879	速冻	132074	36895	2	{v=0, vn=2}
-165880	葡萄酒	65536	158026	3	{n=1}
-165881	胸卡	65536	33016	3	{n=5}
-165882	非法所	139706	225892	1	null
-165883	香港湾区	65536	172846	3	{ns=0}
-165884	香港特别行	139971	165889	1	null
-165885	足智	132867	36275	1	null
-165886	心明	88903	24515	1	null
-165887	额定	65536	39069	3	{b=0}
-165888	星虫	65536	26143	3	{n=0}
-165889	香港特别	130992	173865	1	null
-165890	香港特别行政	144586	165884	1	null
-165891	班长	65536	29677	3	{n=18}
-165892	香港特别行政区	65536	165890	3	{n=0}
-165893	点名	111717	28857	2	{v=2, vn=0}
-165894	香港特区政	141676	166160	1	null
-165895	欢谈	65536	27426	3	{v=1}
-165896	香港特区政府	65536	165894	3	{n=0}
-165897	环环	104354	29615	2	{n=0}
-165898	递升	65536	36882	3	{v=0}
-165899	香烟盒	133468	227080	2	{n=0}
-165900	练笔	65536	32451	3	{v=1}
-165901	舰长	65536	33328	3	{n=3}
-165902	比什	105694	27604	1	null
-165903	风雨交	144153	243482	1	null
-165904	费力	65536	36153	3	{a=2, ad=0, v=0}
-165905	锡山	136952	38177	2	{ns=6}
-165906	小渊	65536	23567	3	{nr=0}
-165907	请勿	65536	35831	3	{v=1}
-165908	香烟盒纸	65536	165899	3	{n=1}
-165909	费加	122189	36153	1	null
-165910	香獐子	65536	227705	3	{n=0}
-165911	时弊	65536	26102	3	{n=1}
-165912	蕙质	129782	34137	1	null
-165913	遵守	138664	36981	2	{v=46, vn=1}
-165914	雕刻家	65536	167549	3	{n=0}
-165915	管理费	65536	197816	3	{n=9}
-165916	时式	65536	26102	3	{n=0}
-165917	香花镇	65536	231642	3	{ns=0}
-165918	陕康	65536	38485	3	{nz=0}
-165919	铆机	65536	38086	3	{n=0}
-165920	香草醛	65536	231794	3	{n=0}
-165921	香菊片	65536	231923	3	{n=2}
-165922	面目可	139357	224419	1	null
-165923	辽八	135639	36797	1	null
-165924	打下	89491	25171	2	{v=18}
-165925	迅疾	65536	36805	3	{z=1}
-165926	校友	104193	26657	2	{n=1}
-165927	费劲	65536	36153	3	{a=0}
-165928	淡青	97014	28129	2	{b=0}
-165929	零售商	65536	208639	3	{n=0}
-165930	铸成	138018	38136	2	{v=1}
-165931	香蕉苹果	65536	177979	3	{l=0}
-165932	香车宝	126402	234895	1	null
-165933	闪光灯	65536	168181	3	{n=3}
-165934	香车宝马	65536	165932	3	{i=0}
-165935	香酥鸡	65536	235406	3	{n=0}
-165936	违反	124850	36829	2	{v=67, vn=0}
-165937	过敏症	65536	216127	3	{n=2}
-165938	贴换	65536	36148	3	{v=0}
-165939	订单	65536	35746	3	{n=17}
-165940	自我陶	110470	211265	1	null
-165941	香港厅	65536	226392	3	{ns=0}
-165942	春意	90732	26149	2	{n=12}
-165943	香附子	65536	236653	3	{n=0}
-165944	香蕉叶	65536	232306	3	{n=1}
-165945	馥郁	65536	39333	3	{z=1}
-165946	购回	65536	36141	3	{v=3}
-165947	组曲	65536	32452	3	{n=0}
-165948	马丁炉	65536	224899	3	{n=0}
-165949	手活	65536	25163	3	{n=1}
-165950	馨著	65536	39336	3	{v=1}
-165951	马不停	129532	224911	1	null
-165952	马不停蹄	65536	165951	3	{i=0}
-165953	母畜	65536	27597	3	{n=0}
-165954	马仰人	133196	225138	1	null
-165955	打个	87051	25171	1	null
-165956	遭殃	65536	36973	3	{v=0}
-165957	比价	65536	27604	3	{n=16}
-165958	打中	65536	25171	3	{v=1}
-165959	马仰人翻	65536	165954	3	{i=0}
-165960	马克思	145934	225741	2	{nr=24}
-165961	马克思主	145922	165960	1	null
-165962	防护林	137874	220855	2	{n=5}
-165963	马克思主义	133191	165961	2	{n=128}
-165964	马克思主义者	65536	165963	3	{n=1}
-165965	马克思列宁	145939	166949	1	null
-165966	马克思列宁主	145930	165965	1	null
-165967	陪审席	65536	168582	3	{n=0}
-165968	逗号	65536	36887	3	{n=0}
-165969	责有	128600	36131	1	null
-165970	暗杀	65536	26263	3	{v=3, vn=5}
-165971	马克思列宁主义	65536	165966	3	{n=12}
-165972	打主	89812	25171	1	null
-165973	风吹草动	65536	172622	3	{i=3}
-165974	窗帘	65536	31383	3	{n=1}
-165975	总而	77501	24635	1	null
-165976	马六甲	65536	225775	3	{ns=0}
-165977	马关条	133556	225781	1	null
-165978	马关条约	65536	165977	3	{n=0}
-165979	革制	142687	38761	1	null
-165980	马其顿	145138	225784	2	{ns=2}
-165981	环球	65536	29615	3	{n=7, nz=10, v=2}
-165982	蚕种	65536	34453	3	{n=0}
-165983	日上	100413	26085	1	null
-165984	强震	65536	24378	3	{n=1}
-165985	诉苦	65536	35785	3	{v=1}
-165986	日不	94146	26085	1	null
-165987	马其顿共	144344	165980	1	null
-165988	马其顿共和	143720	165987	1	null
-165989	马其顿共和国	65536	165988	3	{ns=0}
-165990	马列主	145950	225945	1	null
-165991	马列主义	65536	165990	3	{n=13}
-165992	校名	65536	26657	3	{n=0}
-165993	渔猎	65536	28180	3	{n=0}
-165994	心智	65536	24515	3	{n=0}
-165995	马到成	144846	225970	1	null
-165996	班门	110723	29677	1	null
-165997	马到成功	65536	165995	3	{i=1}
-165998	马前卒	65536	225999	3	{n=0}
-165999	袋装	65536	34955	3	{b=0}
-166000	郁江	65536	37057	3	{n=0}
-166001	马加丹	141973	226082	1	null
-166002	略识	116322	30053	1	null
-166003	马加丹州	65536	166001	3	{ns=0}
-166004	郊游	65536	37066	3	{v=0}
-166005	马卡尔	139978	226275	1	null
-166006	阜成	123511	38428	1	null
-166007	闪光点	65536	168181	3	{n=2}
-166008	泥岩	65536	27877	3	{n=0}
-166009	马卡尔斯	144667	166005	1	null
-166010	突飞	111860	31361	1	null
-166011	胸口	65536	33016	3	{n=4}
-166012	马卡尔斯卡	65536	166009	3	{ns=0}
-166013	马口铁	65536	226405	3	{n=0}
-166014	安魂	78851	23433	1	null
-166015	马后炮	65536	226448	3	{l=0}
-166016	电子电	99676	192405	1	null
-166017	赐福	65536	36176	3	{v=0}
-166018	锐意	124148	38160	2	{d=3}
-166019	过眼烟	137134	220716	1	null
-166020	革命制	140160	166562	1	null
-166021	日丰	65536	26085	3	{a=1}
-166022	马哲史	65536	226676	3	{j=1}
-166023	马图林	65536	227200	3	{ns=0}
-166024	马塘村	65536	227546	3	{ns=1}
-166025	霍地	65536	38669	3	{d=0}
-166026	打乱	65536	25171	3	{v=2}
-166027	责权	133481	36131	1	null
-166028	盐水	100804	30416	2	{n=0}
-166029	方才	65536	26041	3	{d=1, t=3}
-166030	马塞卢	65536	227552	3	{ns=0}
-166031	青年团	65536	221144	3	{n=3}
-166032	王妃	65536	29579	3	{n=0}
-166033	干血	81148	24178	1	null
-166034	阶层	65536	38454	3	{n=20}
-166035	马大哈	65536	227753	3	{n=0}
-166036	查办	65536	26597	3	{v=9, vn=0}
-166037	马失前	129618	227763	1	null
-166038	马失前蹄	65536	166037	3	{l=0}
-166039	断路	65536	26029	3	{v=0}
-166040	普鲁	100173	26222	1	null
-166041	略语	65536	30053	3	{n=0}
-166042	日久	97581	26085	1	null
-166043	马头琴	65536	227766	3	{n=0}
-166044	踏勘	65536	36367	3	{v=0}
-166045	马尔代夫	145200	166050	2	{ns=1}
-166046	盗魁	65536	30423	3	{n=0}
-166047	臭豆	114905	33261	1	null
-166048	果干	65536	26524	3	{n=0}
-166049	马尔代夫共	144407	166045	1	null
-166050	马尔代	143218	228502	1	null
-166051	马尔代夫共和	143783	166049	1	null
-166052	马尔代夫共和国	65536	166051	3	{ns=0}
-166053	酱油	129395	37233	2	{n=1}
-166054	马尔维纳	140025	178355	1	null
-166055	略读	65536	30053	3	{v=0}
-166056	马尔维纳斯	65536	166054	3	{ns=1}
-166057	马尔萨斯	65536	179687	3	{n=0}
-166058	比作	65536	27604	3	{v=4}
-166059	金沙萨	65536	224859	3	{ns=0}
-166060	年金	65536	24180	3	{n=1}
-166061	舰队	65536	33328	3	{n=6}
-166062	打井	65536	25171	3	{v=15, vn=0}
-166063	马尼托	142012	228542	1	null
-166064	马尼托巴	135600	166063	1	null
-166065	马尼托巴省	65536	166064	3	{ns=0}
-166066	小溪	65536	23567	3	{n=1}
-166067	马尼拉麻	65536	166176	3	{l=0}
-166068	藤田	65536	34276	3	{nr=0}
-166069	早衰	65536	26089	3	{v=0}
-166070	航天飞	121797	165364	1	null
-166071	马德里	65536	229433	3	{nr=0, ns=10}
-166072	盐池	116243	30416	2	{n=0, ns=0}
-166073	面包房	65536	215226	3	{n=0}
-166074	马戏团	65536	230033	3	{n=10}
-166075	马尾松	65536	228544	3	{n=0}
-166076	诬蔑	65536	35820	3	{v=0, vn=0}
-166077	打交	77714	25171	1	null
-166078	马拉喀什	65536	166102	3	{ns=0}
-166079	马拉开波	137834	168534	2	{ns=0}
-166080	马拉开波湖	65536	166079	3	{ns=0}
-166081	马拉松式	65536	170708	3	{b=0}
-166082	裤脚	65536	35044	3	{n=0}
-166083	马拉若岛	65536	177723	3	{ns=0}
-166084	语音课	65536	211321	3	{n=0}
-166085	马放南	142421	230848	1	null
-166086	马放南山	65536	166085	3	{i=0}
-166087	马斯喀	136783	230961	1	null
-166088	马斯喀特	65536	166087	3	{ns=0}
-166089	辩称	65536	36777	3	{v=0}
-166090	马斯特里	129889	173504	1	null
-166091	来客	65536	26469	3	{n=2, vn=0}
-166092	马斯特里赫	136792	166090	1	null
-166093	醉心	65536	37257	3	{v=0}
-166094	查勘	65536	26597	3	{v=0, vn=0}
-166095	虫胶	65536	34411	3	{n=0}
-166096	成百	94180	25104	2	{j=0}
-166097	马斯特里赫特	65536	166092	3	{ns=3}
-166098	童声	65536	31461	3	{n=3}
-166099	青海省	65536	224987	3	{ns=11}
-166100	马日事	144640	231015	1	null
-166101	盐汽	109990	30416	1	null
-166102	马拉喀	145918	230219	1	null
-166103	青春期	65536	223113	3	{t=0}
-166104	马日事变	65536	166100	3	{l=0}
-166105	比例	106660	27604	2	{n=108}
-166106	查勤	65536	26597	3	{vn=1}
-166107	荷藕	65536	33655	3	{n=0}
-166108	马普托	65536	231152	3	{ns=1}
-166109	马村区	65536	231379	3	{ns=0}
-166110	马来西	145989	231399	1	null
-166111	马来西亚	65536	166110	3	{ns=34}
-166112	肠管	65536	32928	3	{n=0}
-166113	马格里	142048	231614	1	null
-166114	心曲	65536	24515	3	{n=0}
-166115	马格里布	65536	166113	3	{ns=3}
-166116	马桥镇	65536	231655	3	{ns=0}
-166117	运动学	65536	182535	3	{n=0}
-166118	马歇尔	65536	232393	3	{n=1, nr=0}
-166119	来宾	99535	26469	2	{n=8, nz=0}
-166120	马泉河	65536	232779	3	{n=0}
-166121	小满	65536	23567	3	{t=0}
-166122	蝶阀	65536	34678	3	{n=0}
-166123	明信	91550	26126	1	null
-166124	马海毛	65536	232953	3	{n=0}
-166125	手淫	65536	25163	3	{v=0}
-166126	统战	107056	32479	2	{j=15}
-166127	痛不	109201	30171	1	null
-166128	打仗	65536	25171	3	{v=3}
-166129	马滴达	146067	233334	1	null
-166130	谋事	65536	35851	3	{v=0}
-166131	月桂	95424	26376	1	null
-166132	马滴达乡	65536	166129	3	{ns=0}
-166133	马王堆	65536	234509	3	{n=0}
-166134	阅读机	65536	177098	3	{n=0}
-166135	误杀	65536	35823	3	{v=0}
-166136	马粪纸	65536	236844	3	{n=0}
-166137	心有	91508	24515	1	null
-166138	诡辩	127130	35809	2	{v=1, vn=0}
-166139	豁然	129880	35905	2	{d=2}
-166140	日产	83081	26085	2	{j=0, nz=0, v=2, vn=1}
-166141	心服	90357	24515	2	{v=0, vn=0}
-166142	职分	65536	32844	3	{n=0}
-166143	马绍尔	65536	237391	3	{ns=0}
-166144	训练舰	65536	165407	3	{n=0}
-166145	训练舱	65536	165407	3	{n=0}
-166146	马缨花	65536	237482	3	{n=0}
-166147	马耳他	145301	237749	2	{ns=26}
-166148	隔音板	65536	200415	3	{n=0}
-166149	阿尔卑	136287	216535	1	null
-166150	马耳他共	144507	166147	1	null
-166151	马耳他共和	143883	166150	1	null
-166152	马耳他共和国	65536	166151	3	{ns=1}
-166153	马自达	65536	238188	3	{nz=1}
-166154	马萨诸	143539	238762	1	null
-166155	醉态	65536	37257	3	{n=0}
-166156	销售员	65536	165478	3	{n=5}
-166157	曲线	99549	26354	2	{n=4}
-166158	时态	65536	26102	3	{n=0}
-166159	隆回	141495	38534	2	{ns=1}
-166160	香港特区	139975	173865	2	{n=0}
-166161	马萨诸塞	142132	166154	2	{ns=1}
-166162	马萨诸塞州	65536	166161	3	{ns=1}
-166163	干裂	65536	24178	3	{v=1}
-166164	盐沼	65536	30416	3	{n=0}
-166165	马蜂窝	65536	239492	3	{n=0}
-166166	曲终	98952	26354	1	null
-166167	马褡子	65536	240035	3	{n=0}
-166168	裤腰	127896	35044	2	{n=0}
-166169	板结	65536	26495	3	{a=2, an=0}
-166170	战火	65536	25112	3	{n=5}
-166171	标量	65536	26631	3	{n=0}
-166172	赞成	123949	36190	2	{v=17, vn=0}
-166173	标金	65536	26631	3	{n=0}
-166174	雁北	65536	38593	3	{ns=0}
-166175	心术	91858	24515	2	{n=0}
-166176	马尼拉	125432	228542	2	{ns=22}
-166177	盐泉	65536	30416	3	{n=0}
-166178	稳赢	65536	31283	3	{v=0}
-166179	职别	65536	32844	3	{n=0}
-166180	马角坝	65536	240212	3	{ns=0}
-166181	贮藏	131249	36142	2	{v=1, vn=1}
-166182	马赫主	146151	241133	1	null
-166183	裤腿	65536	35044	3	{n=1}
-166184	逗哏	65536	36887	3	{v=0}
-166185	激酶	65536	28608	3	{n=0}
-166186	心机	65536	24515	3	{n=1}
-166187	胎膜	65536	32974	3	{n=0}
-166188	方括	98110	26041	1	null
-166189	貂裘	65536	35970	3	{n=0}
-166190	近在眉	126799	200814	1	null
-166191	请君	132985	35831	1	null
-166192	马赫主义	65536	166182	3	{n=0}
-166193	赐稿	65536	36176	3	{v=5}
-166194	马赛克	65536	241117	3	{n=1}
-166195	马路新	127802	241265	1	null
-166196	费县	65536	36153	3	{ns=13}
-166197	马路新闻	65536	166195	3	{l=0}
-166198	收成	65536	25910	3	{n=23}
-166199	打伞	65536	25171	3	{v=0}
-166200	这么点	136658	180954	1	null
-166201	马车夫	65536	241640	3	{n=0}
-166202	日以	87922	26085	1	null
-166203	马达加	140175	241728	1	null
-166204	阔少	65536	38420	3	{n=0}
-166205	逸民	65536	36920	3	{n=0}
-166206	马达加斯	145055	166203	1	null
-166207	马达加斯加	145359	166206	2	{ns=2}
-166208	马达加斯加共	144566	166207	1	null
-166209	雌雄异	143100	177475	1	null
-166210	马达加斯加共和	143942	166208	1	null
-166211	马达加斯加共和国	65536	166210	3	{ns=0}
-166212	马连曲	139766	241760	1	null
-166213	礼教	65536	31036	3	{n=3}
-166214	山轿	65536	23665	3	{n=0}
-166215	马连曲村	65536	166212	3	{ns=0}
-166216	马那瓜	65536	241957	3	{ns=3}
-166217	马部海	65536	242026	3	{nz=0}
-166218	购买群	65536	163788	3	{n=1}
-166219	接纳	65536	25509	3	{v=8, vn=0}
-166220	强音	65536	24378	3	{n=1}
-166221	窗式	65536	31383	3	{b=0}
-166222	马里亚纳	65536	166266	3	{n=0}
-166223	年鉴	65536	24180	3	{n=5}
-166224	马里兰州	65536	166992	3	{ns=3}
-166225	诸国	65536	35832	3	{r=1}
-166226	顿号	65536	39039	3	{n=0}
-166227	提示	85706	25552	2	{v=1, vn=1}
-166228	马里共和	143964	166993	1	null
-166229	童女	65536	31461	3	{n=0}
-166230	颓势	65536	39059	3	{n=4}
-166231	接线	95454	25509	2	{v=0, vn=1}
-166232	费口	121500	36153	1	null
-166233	马里共和国	65536	166228	3	{ns=0}
-166234	韦拉	143668	38886	1	null
-166235	马銮湾	65536	242480	3	{ns=0}
-166236	礼数	65536	31036	3	{n=1}
-166237	战炮	65536	25112	3	{n=0}
-166238	马钱子	65536	242995	3	{n=0}
-166239	马铃薯	65536	243013	3	{n=4}
-166240	韵味	143775	38901	2	{n=6}
-166241	近在眼	136306	200814	1	null
-166242	马革裹	142637	243691	1	null
-166243	机上	65536	26426	3	{s=3}
-166244	革命化	65536	166562	3	{v=1, vn=3}
-166245	马革裹尸	65536	166242	3	{i=0}
-166246	机不	101723	26426	1	null
-166247	马鞍子	65536	243727	3	{n=0}
-166248	打住	65536	25171	3	{v=0}
-166249	报界	65536	25253	3	{n=2}
-166250	马鞍山市	65536	166536	3	{ns=0}
-166251	洪钟	65536	27946	3	{n=0}
-166252	荣幸	65536	33635	3	{a=2, an=2}
-166253	查卷	65536	26597	3	{v=0}
-166254	陋室	65536	38475	3	{n=0}
-166255	颁奖	144556	39041	2	{v=8, vn=21}
-166256	马颈坳	128045	243978	1	null
-166257	蠢蠢	123916	34850	1	null
-166258	胜地	65536	32988	3	{n=1}
-166259	马蹄形	65536	241350	3	{n=0}
-166260	马颈坳镇	65536	166256	3	{ns=2}
-166261	马首是	135617	244248	1	null
-166262	河山	65536	27827	3	{n=2}
-166263	提神	65536	25552	3	{v=1}
-166264	赞扬	132262	36190	2	{v=12, vd=0, vn=6}
-166265	支路	65536	25903	3	{n=0}
-166266	马里亚	133787	242254	1	null
-166267	计时表	65536	175459	3	{n=2}
-166268	马首是瞻	65536	166261	3	{i=0}
-166269	负债累	122330	177006	1	null
-166270	阿尔及	141295	216535	1	null
-166271	日伪	65536	26085	3	{j=0}
-166272	浓黑	65536	27987	3	{a=0}
-166273	教法	65536	25945	3	{n=0}
-166274	柳编	65536	26611	3	{b=0}
-166275	马马虎	131894	244462	1	null
-166276	马马虎虎	65536	166275	3	{i=0, z=0}
-166277	接续	65536	25509	3	{v=0, vn=0}
-166278	马驹桥	65536	244475	3	{ns=0}
-166279	马鲛鱼	65536	245021	3	{n=0}
-166280	记录簿	65536	192502	3	{n=0}
-166281	沉冤	65536	27785	3	{n=0}
-166282	比值	65536	27604	3	{n=0}
-166283	马鼻疽	65536	245693	3	{n=0}
-166284	马齿苋	65536	245761	3	{n=0}
-166285	收执	65536	25910	3	{n=0, v=0}
-166286	至友	65536	33267	3	{n=0}
-166287	苯酚	65536	33519	3	{n=0}
-166288	茅舍	65536	33541	3	{n=0}
-166289	请命	65536	35831	3	{v=0}
-166290	肝部	65536	32925	3	{n=0}
-166291	马龙县	65536	245787	3	{ns=0}
-166292	驭手	65536	39533	3	{n=0}
-166293	驮戥村	65536	168083	3	{ns=0}
-166294	酿母	125657	37247	1	null
-166295	驯兽师	65536	166444	3	{n=0}
-166296	驰名中	143492	166313	1	null
-166297	职务	122020	32844	2	{n=50}
-166298	驰名中外	65536	166296	3	{i=2}
-166299	饮水处	65536	174415	3	{n=0}
-166300	驱动力	65536	167128	3	{n=1}
-166301	铃木	65536	38083	3	{nr=0, nz=0}
-166302	改错	65536	25913	3	{v=0}
-166303	知己	108157	30693	2	{n=2}
-166304	江克	101449	27743	1	null
-166305	驱护舰	65536	171220	3	{n=0}
-166306	调查组	65536	215564	3	{n=8}
-166307	残年	65536	27531	3	{n=0}
-166308	足校	65536	36275	3	{j=0}
-166309	轰轰隆	118112	173393	1	null
-166310	萍踪	121976	33805	1	null
-166311	驱虫剂	65536	180379	3	{n=0}
-166312	诱导酶	65536	170896	3	{n=0}
-166313	驰名	146283	39536	2	{v=4, vn=1}
-166314	改锥	65536	25913	3	{n=0}
-166315	购买者	65536	163788	3	{n=2}
-166316	瓦器	65536	29926	3	{n=0}
-166317	男工	65536	30007	3	{n=0}
-166318	贼溜	126545	36156	1	null
-166319	驱使	65536	39537	3	{v=5, vn=1}
-166320	莫不	123530	33707	2	{d=5}
-166321	街头诗	65536	169404	3	{n=0}
-166322	谱系	65536	35889	3	{n=0}
-166323	驱逐机	65536	182848	3	{n=0}
-166324	泥工	65536	27877	3	{n=0}
-166325	驳壳枪	65536	168696	3	{n=0}
-166326	算数	65536	31639	3	{v=0}
-166327	驴年马	139959	167132	1	null
-166328	驴子	65536	39540	3	{n=0}
-166329	频仍	65536	39057	3	{a=0, v=1}
-166330	着笔	65536	30528	3	{v=0}
-166331	萨帕	127472	33832	1	null
-166332	舱门	65536	33329	3	{n=1}
-166333	河岸	65536	27827	3	{n=2}
-166334	驮子	65536	39534	3	{n=0}
-166335	驴年马月	65536	166327	3	{i=0}
-166336	驴打滚	65536	168123	3	{n=0}
-166337	驴皮影	65536	173334	3	{n=0}
-166338	沉凝	65536	27785	3	{a=1}
-166339	泥巴	65536	27877	3	{n=1}
-166340	长臂虾	65536	231795	3	{n=0}
-166341	驴肝肺	65536	175877	3	{n=0}
-166342	驴鸣狗	144807	183435	1	null
-166343	驴鸣狗吠	65536	166342	3	{i=0}
-166344	驷马	127755	39543	2	{n=0}
-166345	驷马难	129487	166344	1	null
-166346	舌状	114632	33292	1	null
-166347	收报	91426	25910	1	null
-166348	驷马难追	65536	166345	3	{i=0}
-166349	驸马	142298	39544	2	{n=0}
-166350	残废	65536	27531	3	{v=0, vn=2}
-166351	累西	109902	32047	1	null
-166352	障子	65536	38556	3	{n=0}
-166353	驸马巷	65536	166349	3	{ns=0}
-166354	强项	65536	24378	3	{n=3}
-166355	驹子	65536	39545	3	{n=0}
-166356	甜菜	65536	29980	3	{n=0}
-166357	釉瓷	65536	37321	3	{n=0}
-166358	驻足不	145291	185248	1	null
-166359	跨学	124628	36328	1	null
-166360	驻足不前	65536	166358	3	{i=0}
-166361	毒手	65536	27602	3	{n=0}
-166362	驻马店	142297	188505	2	{ns=6}
-166363	驻马店市	65536	166362	3	{ns=0}
-166364	驽钝	65536	39549	3	{a=0}
-166365	驾车者	65536	184550	3	{n=1}
-166366	烧伤	65536	28903	3	{n=0, v=4, vn=1}
-166367	辣椒酱	65536	164839	3	{n=0}
-166368	驾轻就	137284	184571	1	null
-166369	毒打	65536	27602	3	{v=0, vn=0}
-166370	收押	65536	25910	3	{v=0}
-166371	驾轻就熟	65536	166368	3	{i=0}
-166372	驾驶证者	65536	180680	3	{n=1}
-166373	骁勇	65536	39553	3	{a=0, an=0}
-166374	票证	65536	31080	3	{n=2}
-166375	骂不还	144901	166456	1	null
-166376	骂不还口	65536	166375	3	{l=1}
-166377	骂骂咧	144709	186029	1	null
-166378	教派	65536	25945	3	{n=5}
-166379	驿站	65536	39551	3	{n=0}
-166380	骂骂咧咧	65536	166377	3	{z=0}
-166381	查号	102741	26597	1	null
-166382	机井	65536	26426	3	{n=0}
-166383	透明漆	65536	185320	3	{n=0}
-166384	苍天	128875	33485	2	{n=1}
-166385	果心	65536	26524	3	{n=0}
-166386	骄傲自	138003	170356	1	null
-166387	鞭打	65536	38829	3	{v=0}
-166388	骄傲自满	65536	166386	3	{i=2}
-166389	强颜	83409	24378	1	null
-166390	骄兵必	130259	170551	1	null
-166391	驾驶台	65536	187382	3	{n=0}
-166392	骄兵必败	65536	166390	3	{i=0}
-166393	骄奢淫	129476	172580	1	null
-166394	销售商	65536	165478	3	{n=5}
-166395	苍头	65536	33485	3	{n=0}
-166396	骄奢淫逸	65536	166393	3	{i=0}
-166397	腥黑	115974	33125	1	null
-166398	阿鲁沙	132191	233028	2	{ns=0}
-166399	骄阳似	137621	188149	1	null
-166400	骄阳似火	65536	166399	3	{l=0}
-166401	领带夹	65536	212458	3	{n=0}
-166402	骆马	138158	39558	1	null
-166403	板羽	94169	26495	1	null
-166404	骆马湖	65536	166402	3	{ns=2}
-166405	继配	65536	32487	3	{n=0}
-166406	骆驼绒	65536	166418	3	{n=0}
-166407	骇人听	128014	166410	1	null
-166408	收拢	65536	25910	3	{v=0}
-166409	骇人听闻	65536	166407	3	{i=0}
-166410	骇人	144859	39559	1	null
-166411	验伪机	65536	174731	3	{n=1}
-166412	耍猴	65536	32781	3	{v=0}
-166413	验湿器	65536	182752	3	{n=0}
-166414	触犯	65536	35302	3	{v=8}
-166415	辽南	65536	36797	3	{ns=1}
-166416	骈体	65536	39560	3	{n=0}
-166417	累见	123041	32047	1	null
-166418	骆驼	133940	39558	2	{n=14, nz=0}
-166419	验收关	65536	180375	3	{n=1}
-166420	贯穿	117964	36143	2	{v=15}
-166421	验电器	65536	184470	3	{n=0}
-166422	验证台	65536	190242	3	{n=1}
-166423	驳倒	65536	39539	3	{v=0}
-166424	验货单	65536	190600	3	{n=0}
-166425	醉意	65536	37257	3	{n=1}
-166426	山道	83646	23665	2	{n=4}
-166427	验钞机	65536	192511	3	{n=0}
-166428	闭关锁	139277	169865	1	null
-166429	骏马	65536	39567	3	{n=0}
-166430	骑虎难	146453	181320	1	null
-166431	监督	116925	30417	2	{n=0, v=76, vn=197}
-166432	骑虎难下	65536	166430	3	{i=0}
-166433	纵令	65536	32437	3	{c=0, v=0}
-166434	诸城	129766	35832	2	{ns=2}
-166435	骑车人	65536	183648	3	{n=2}
-166436	收拾	65536	25910	3	{v=9}
-166437	蚕箔	65536	34453	3	{n=0}
-166438	腐败	65536	33104	3	{a=15, an=206, vn=0}
-166439	强风	65536	24378	3	{n=0}
-166440	销声	139579	38144	1	null
-166441	象牙	134459	35937	2	{n=2}
-166442	驯养	65536	39535	3	{v=0, vn=0}
-166443	打倒	65536	25171	3	{v=2}
-166444	驯兽	142223	39535	1	null
-166445	算旧	105982	31639	1	null
-166446	馈送	65536	39304	3	{v=0}
-166447	调查网	65536	215564	3	{n=1}
-166448	赋税	65536	36171	3	{n=1}
-166449	松土	97337	26494	1	null
-166450	骑马找	126920	186470	1	null
-166451	趁着	65536	36225	3	{p=1}
-166452	骑马找马	65536	166450	3	{i=0}
-166453	霜害	65536	38684	3	{n=0}
-166454	隶字	65536	38582	3	{n=0}
-166455	骒马	65536	39570	3	{n=0}
-166456	骂不	129551	39554	1	null
-166457	大钟	76771	22823	1	null
-166458	肠系	113239	32928	1	null
-166459	骗子手	65536	170040	3	{n=0}
-166460	骗赔案	65536	182844	3	{n=3}
-166461	骚人墨	143004	166774	1	null
-166462	骚人墨客	65536	166461	3	{i=0}
-166463	骨伤病	65536	212978	3	{n=2}
-166464	骨头架	143092	215554	1	null
-166465	风湿疹	65536	233137	3	{n=0}
-166466	静脉炎	65536	213324	3	{n=0}
-166467	知底	65536	30693	3	{v=0}
-166468	骨头架子	65536	166464	3	{l=0}
-166469	骨子里	65536	216094	3	{n=0, s=0}
-166470	荣归	123652	33635	2	{v=0}
-166471	狂欢	111251	29378	2	{v=10, vn=5}
-166472	指责	65536	25351	3	{v=31, vn=3}
-166473	明儿	65536	26126	3	{t=0}
-166474	知府	65536	30693	3	{n=0}
-166475	大钱	65536	22823	3	{n=5}
-166476	瓦圈	65536	29926	3	{n=0}
-166477	风湿病	65536	233137	3	{n=2}
-166478	骨密度	65536	216212	3	{n=1}
-166479	机件	65536	26426	3	{n=0}
-166480	骡子	65536	39585	3	{n=0}
-166481	成矿	93847	25104	1	null
-166482	莱阳	125780	33713	2	{ns=0}
-166483	汉中	89435	27721	2	{ns=0}
-166484	骨干网	65536	216896	3	{n=1}
-166485	资料袋	65536	193026	3	{n=0}
-166486	骨瘦如	139877	222964	1	null
-166487	设在	65536	35774	3	{v=0}
-166488	邵武	65536	37045	3	{n=0}
-166489	骨瘦如柴	65536	166486	3	{i=0}
-166490	骨结核	65536	225185	3	{n=0}
-166491	骨灰盒	65536	221502	3	{n=0}
-166492	集中度	65536	203636	3	{n=2}
-166493	王子	65536	29579	3	{n=2}
-166494	骨肉相	138967	225623	1	null
-166495	驾驶员	65536	187382	3	{n=11}
-166496	打假	65536	25171	3	{v=7, vn=4}
-166497	推翻	65536	25512	3	{v=4, vn=0}
-166498	骨肉相残	65536	166494	3	{i=1}
-166499	风湿痛	65536	233137	3	{n=0}
-166500	贻笑	132025	36155	1	null
-166501	欢蹦	105717	27426	1	null
-166502	王孙	65536	29579	3	{n=0}
-166503	财产险	65536	185417	3	{j=0, n=1}
-166504	骨腾肉	127371	225868	1	null
-166505	骨腾肉飞	65536	166504	3	{i=0}
-166506	阐明	65536	38416	3	{v=13, vn=1}
-166507	放散	65536	25918	3	{v=0}
-166508	雕刻师	65536	167549	3	{n=0}
-166509	骨膜炎	65536	225898	3	{n=0}
-166510	骨质增生	65536	166513	3	{n=1}
-166511	终点	112285	32456	2	{n=1}
-166512	讨情	65536	35752	3	{v=0}
-166513	骨质增	136527	228854	1	null
-166514	推而	92895	25512	1	null
-166515	机会	103186	26426	2	{n=142}
-166516	阅报	135179	38405	1	null
-166517	算是	65536	31639	3	{v=9}
-166518	明公	93316	26126	1	null
-166519	骨质疏松	136369	173922	1	null
-166520	骨质疏松症	65536	166519	3	{n=0}
-166521	骨骼肌	65536	232330	3	{n=0}
-166522	骨髓灰	130387	232353	1	null
-166523	骨髓灰质	137713	166522	1	null
-166524	赠品	65536	36192	3	{n=2}
-166525	陕西省	65536	176870	3	{ns=18}
-166526	小灶	65536	23567	3	{n=0}
-166527	骨髓灰质炎	65536	166523	3	{n=1}
-166528	整齐	97627	25972	2	{a=12, ad=0, an=0}
-166529	骨鲠在	144633	232814	1	null
-166530	骨鲠在喉	65536	166529	3	{i=0}
-166531	物美	113564	29289	1	null
-166532	起诉科	65536	221485	3	{n=1}
-166533	骰子	65536	39600	3	{n=0}
-166534	骶骨	65536	39606	3	{n=0}
-166535	电子眼	65536	192405	3	{n=2}
-166536	马鞍山	142184	243727	2	{ns=0}
-166537	课业	65536	35838	3	{n=1}
-166538	骷髅	65536	39607	3	{n=0}
-166539	骸骨	65536	39608	3	{n=0}
-166540	汉书	65536	27721	3	{n=1}
-166541	逗嘴	65536	36887	3	{v=0}
-166542	饼干	65536	39292	3	{n=2}
-166543	天长	78648	22825	1	null
-166544	骤减	65536	39588	3	{v=0}
-166545	小炉	86175	23567	1	null
-166546	街上	65536	34903	3	{s=21}
-166547	髂骨	65536	39618	3	{n=0}
-166548	收据	86046	25910	2	{n=6}
-166549	都柏	132609	37117	1	null
-166550	髋关	133143	39627	1	null
-166551	腊鱼	65536	33098	3	{n=3}
-166552	骨髓炎	65536	232353	3	{n=1}
-166553	髋关节	137742	166550	2	{n=0}
-166554	小炒	65536	23567	3	{n=0}
-166555	瓦块	65536	29926	3	{n=0}
-166556	髋关节炎	65536	166553	3	{n=0}
-166557	读数	65536	35835	3	{n=0}
-166558	髌骨	65536	39628	3	{n=1}
-166559	大锅	72627	22823	1	null
-166560	核二	85986	26680	1	null
-166561	钥匙环	65536	160322	3	{n=0}
-166562	革命	144974	38761	2	{a=6, v=17, vn=228}
-166563	难民潮	65536	218897	3	{n=1}
-166564	日偏	81278	26085	1	null
-166565	王官	65536	29579	3	{n=0}
-166566	机位	65536	26426	3	{n=3}
-166567	髑髅	65536	39633	3	{n=0}
-166568	颐和	142677	39056	1	null
-166569	断送	65536	26029	3	{v=1}
-166570	艺德	65536	33402	3	{n=2}
-166571	驶上	65536	39542	3	{v=0}
-166572	机体	65536	26426	3	{n=4}
-166573	高不可	140719	229096	1	null
-166574	盐湖	115214	30416	2	{n=0, ns=0}
-166575	高不可攀	65536	166573	3	{i=0}
-166576	高不成低	146599	170190	1	null
-166577	王室	65536	29579	3	{n=1}
-166578	陷害	65536	38519	3	{v=2, vn=0}
-166579	大错	71015	22823	1	null
-166580	高不成低不	142981	166576	1	null
-166581	自治领	65536	213995	3	{n=0}
-166582	高不成低不就	65536	166580	3	{i=0}
-166583	棉麻	65536	26825	3	{n=0}
-166584	王宫	65536	29579	3	{n=5}
-166585	过得硬	65536	214663	3	{a=5}
-166586	高个儿	65536	229125	3	{n=0}
-166587	高中收入	65536	166658	3	{j=0}
-166588	纵使	65536	32437	3	{c=1}
-166589	高产田	65536	229250	3	{n=0}
-166590	鞭挞	65536	38829	3	{v=4, vn=0}
-166591	高丽参	65536	229144	3	{n=0}
-166592	高人一	135035	229269	1	null
-166593	迪耳	65536	36842	3	{nz=0}
-166594	高人逸士	65536	183544	3	{i=0}
-166595	王家	112351	29579	1	null
-166596	高人一等	65536	166592	3	{i=0}
-166597	高位池	65536	229416	3	{n=0}
-166598	腾飞	65536	33150	3	{v=8, vn=2}
-166599	高出一	134998	230101	1	null
-166600	瓦垄	65536	29926	3	{n=0}
-166601	逼死	65536	36924	3	{v=0}
-166602	明净	65536	26126	3	{a=2, an=0}
-166603	蜜源	65536	34588	3	{n=0}
-166604	茅草	125612	33541	2	{n=0}
-166605	青果巷	65536	223488	3	{ns=0}
-166606	焦比	65536	28966	3	{n=0}
-166607	高出一筹	65536	166599	3	{i=2}
-166608	高分低能	65536	166610	3	{l=0}
-166609	高利贷	65536	230148	3	{n=0}
-166610	高分低	133587	230113	1	null
-166611	统揽	123313	32479	2	{v=1}
-166612	高加索	65536	230267	3	{ns=1}
-166613	核仁	65536	26680	3	{n=0}
-166614	高低型	65536	229417	3	{n=1}
-166615	男式	65536	30007	3	{b=0}
-166616	极限	65536	26497	3	{n=2}
-166617	高升镇	65536	230434	3	{ns=0}
-166618	高坪区	65536	231493	3	{ns=0}
-166619	秘鲁	119734	31192	2	{ns=10}
-166620	高堡乡	65536	231676	3	{ns=2}
-166621	求大	106247	27714	1	null
-166622	查哨	65536	26597	3	{v=0}
-166623	祖祖	103236	31062	1	null
-166624	汉人	65536	27721	3	{n=0}
-166625	高填土	130292	231750	1	null
-166626	河川	65536	27827	3	{n=1}
-166627	高填土路	144106	166625	1	null
-166628	高填土路基	65536	166627	3	{n=1}
-166629	高填方涵	138699	170363	1	null
-166630	食品城	65536	210106	3	{n=2}
-166631	韩国	65536	38889	3	{ns=169}
-166632	此类	65536	27492	3	{r=10}
-166633	高填方涵洞	65536	166629	3	{n=2}
-166634	河工	65536	27827	3	{n=0}
-166635	高增值	65536	231801	3	{b=0}
-166636	高头大	127105	231951	1	null
-166637	高头大马	65536	166636	3	{i=1}
-166638	高姿态	65536	232154	3	{n=0}
-166639	郁滞	65536	37057	3	{a=0}
-166640	缓缓	65536	32531	3	{d=10}
-166641	陪同	140654	38506	2	{n=2, v=34, vd=0, vn=8}
-166642	腹痛	65536	33145	3	{v=0, vn=0}
-166643	锯末	65536	38191	3	{n=0}
-166644	高人一筹	65536	166592	3	{i=0}
-166645	高官厚禄	65536	166647	3	{i=0, l=0}
-166646	脆骨	65536	33030	3	{n=0}
-166647	高官厚	135537	232563	1	null
-166648	天门	80344	22825	2	{ns=0}
-166649	礼服	118240	31036	2	{n=0}
-166650	高压包	65536	230502	3	{n=0}
-166651	高官贵爵	65536	181394	3	{l=0}
-166652	残忍	65536	27531	3	{a=1, an=1}
-166653	踩闸	65536	36393	3	{v=0}
-166654	高密市	65536	232609	3	{ns=0}
-166655	高寒区	65536	232621	3	{s=0}
-166656	高射炮	65536	232671	3	{n=0}
-166657	芳香	127776	33459	2	{a=0, n=3}
-166658	高中收	145750	229128	1	null
-166659	高尔基路	65536	168375	3	{ns=0}
-166660	腰围	65536	33136	3	{n=0}
-166661	目的	115668	30446	2	{n=145}
-166662	高尔夫球	144333	168680	2	{n=2}
-166663	高尔夫球场	65536	166662	3	{n=2}
-166664	高尔克	65536	232687	3	{ns=0}
-166665	汉代	65536	27721	3	{t=2}
-166666	高层次	65536	232733	3	{n=0}
-166667	额度	65536	39069	3	{n=3}
-166668	物耗	65536	29289	3	{n=1}
-166669	高屋建	136731	232742	1	null
-166670	开歇	90214	24320	1	null
-166671	高屋建瓴	65536	166669	3	{i=2}
-166672	致歉	65536	33268	3	{v=1}
-166673	选举署	65536	206528	3	{n=0}
-166674	链烃	65536	38142	3	{n=0}
-166675	须子	65536	39035	3	{n=0}
-166676	指路	95045	25351	1	null
-166677	高山仰止	65536	166996	3	{i=1}
-166678	高山反应	65536	168241	3	{l=0}
-166679	金鸡独	128692	237539	1	null
-166680	缩水	115038	32553	2	{v=1}
-166681	天阉	65536	22825	3	{n=0}
-166682	统摄	65536	32479	3	{v=1}
-166683	薪资	65536	34218	3	{n=0}
-166684	高山流水	65536	174757	3	{i=0}
-166685	镶板	65536	38262	3	{n=0}
-166686	高峰乡	65536	232907	3	{ns=1}
-166687	高岭土	65536	232840	3	{n=0}
-166688	高帽儿	65536	233240	3	{n=0}
-166689	轨辙	65536	36712	3	{n=0}
-166690	虫草	65536	34411	3	{n=0}
-166691	收揽	65536	25910	3	{v=0}
-166692	高年级	65536	233295	3	{n=1}
-166693	高度化	65536	233345	3	{v=0}
-166694	贿赂罪	65536	154904	3	{n=3}
-166695	板胡	65536	26495	3	{n=0}
-166696	放映	96457	25918	2	{v=10, vn=0}
-166697	锯条	65536	38191	3	{n=0}
-166698	知彼	108161	30693	1	null
-166699	讥讽	65536	35749	3	{v=1, vn=0}
-166700	核优	103303	26680	1	null
-166701	骚乱	65536	39578	3	{v=0, vn=1}
-166702	高性能	65536	233730	3	{n=0}
-166703	风雨凄	144379	243482	1	null
-166704	高才生	65536	234280	3	{n=0}
-166705	阴阳怪	134552	228831	1	null
-166706	童子	120672	31461	2	{n=1}
-166707	避嫌	65536	36991	3	{v=0}
-166708	高技术	145213	234331	2	{n=0}
-166709	高技术司	65536	166708	3	{n=0}
-166710	舱面	65536	33329	3	{n=0}
-166711	杂沓	65536	26434	3	{a=0}
-166712	高抬贵	141551	234375	1	null
-166713	狂气	65536	29378	3	{n=0}
-166714	高抬贵手	65536	166712	3	{i=0}
-166715	高挑儿	65536	234476	3	{z=0}
-166716	洗碗	102843	27927	1	null
-166717	隶属	65536	38582	3	{v=7, vn=5}
-166718	绵长	65536	32501	3	{z=7}
-166719	访问记	65536	171600	3	{n=1}
-166720	高收入	133952	235025	1	null
-166721	盐滩	65536	30416	3	{n=0}
-166722	致死	65536	33268	3	{v=3}
-166723	支边	65536	25903	3	{v=1, vn=0}
-166724	融融	65536	34701	3	{z=6}
-166725	高收入者	65536	166720	3	{n=1}
-166726	高效益	65536	235043	3	{n=0}
-166727	机修	65536	26426	3	{j=0, v=1, vn=0}
-166728	校园	91855	26657	2	{n=19}
-166729	邻接	65536	37051	3	{v=0}
-166730	高教法	65536	235060	3	{j=0}
-166731	繁殖	122679	32321	2	{v=8, vn=5}
-166732	高新技术	65536	171837	3	{n=86}
-166733	高新产业	65536	166756	3	{n=1}
-166734	票贩	119368	31080	2	{n=1}
-166735	颖果	65536	39062	3	{n=0}
-166736	职员	65536	32844	3	{n=12}
-166737	褐铁	121325	35088	1	null
-166738	致残	65536	33268	3	{v=2}
-166739	稳输	65536	31283	3	{v=0}
-166740	比分	65536	27604	3	{n=17}
-166741	天际	65536	22825	3	{n=2}
-166742	金童玉	137147	228519	1	null
-166743	高新科技	65536	177806	3	{n=2}
-166744	高明市	65536	235241	3	{ns=0}
-166745	疏解	65536	30095	3	{v=1}
-166746	获胜	65536	33719	3	{v=22, vn=0}
-166747	高朋满	142526	235494	1	null
-166748	讥诮	65536	35749	3	{v=0, vn=0}
-166749	文不	97499	25991	1	null
-166750	战犯	65536	25112	3	{n=1}
-166751	运算符	65536	193014	3	{n=0}
-166752	比划	65536	27604	3	{v=2}
-166753	文丑	65536	25991	3	{n=0}
-166754	打光	87837	25171	1	null
-166755	长征二号捆	65536	161302	3	{nz=0}
-166756	高新产	146739	235147	1	null
-166757	高朋满座	65536	166747	3	{i=1}
-166758	松塔	65536	26494	3	{n=0}
-166759	拉玛	94393	25289	1	null
-166760	高材生	65536	235563	3	{n=4}
-166761	高枕安卧	65536	166770	3	{i=0}
-166762	高枕无忧	65536	169417	3	{i=0}
-166763	文丛	65536	25991	3	{n=3}
-166764	江北	106599	27743	2	{s=0}
-166765	耐用	124152	32784	2	{a=3}
-166766	诸多	133852	35832	2	{m=35, r=1}
-166767	小照	65536	23567	3	{n=0}
-166768	收摊	65536	25910	3	{v=0}
-166769	知心	118706	30693	2	{a=2}
-166770	高枕安	145410	235632	1	null
-166771	风云变	140866	224963	1	null
-166772	熟练	65536	29087	3	{a=3, ad=0}
-166773	算术	109702	31639	2	{n=1}
-166774	骚人	143765	39578	2	{n=0}
-166775	比利	100574	27604	1	null
-166776	飞行公	128162	227781	1	null
-166777	天险	65536	22825	3	{n=1}
-166778	高枕而卧	65536	176117	3	{i=0}
-166779	高架桥	65536	235665	3	{n=5}
-166780	放晴	65536	25918	3	{v=0}
-166781	文中	65536	25991	3	{s=3}
-166782	打入	93749	25171	2	{v=6}
-166783	高架道路	65536	177001	3	{n=0}
-166784	高标准	65536	235746	3	{d=0, n=0}
-166785	轨迹	65536	36712	3	{n=7}
-166786	大门	78856	22823	2	{n=41}
-166787	高桥镇	65536	235840	3	{ns=0}
-166788	高检院	65536	235931	3	{j=0}
-166789	缺失	65536	32570	3	{n=1}
-166790	绞痛	65536	32478	3	{v=0}
-166791	胃穿	123226	32963	1	null
-166792	高楼大	145379	236119	1	null
-166793	高楼大厦	65536	166792	3	{i=3}
-166794	高次方	135554	236540	1	null
-166795	手炉	65536	25163	3	{n=0}
-166796	胸围	65536	33016	3	{n=0}
-166797	高次方程	65536	166794	3	{l=0}
-166798	自然主	127732	215142	1	null
-166799	河床	65536	27827	3	{n=1}
-166800	站长	65536	31449	3	{n=11}
-166801	洪雅	107973	27946	1	null
-166802	小熊	82748	23567	1	null
-166803	山里	87687	23665	2	{n=0, s=11}
-166804	山重	80131	23665	1	null
-166805	山野	74080	23665	2	{n=6}
-166806	高歌猛	129982	236583	1	null
-166807	推脱	65536	25512	3	{v=0}
-166808	日元	65536	26085	3	{n=66, q=1}
-166809	高歌猛进	65536	166806	3	{l=0}
-166810	高气压	145506	236783	1	null
-166811	校址	65536	26657	3	{n=1}
-166812	高气压区	65536	166810	3	{l=0}
-166813	来年	65536	26469	3	{t=13}
-166814	日光	92397	26085	2	{n=6, nr=0}
-166815	放暗	86351	25918	1	null
-166816	粮改	65536	31918	3	{j=0}
-166817	递回	65536	36882	3	{v=0}
-166818	骗人	65536	39575	3	{v=3}
-166819	江华	65536	27743	3	{nr=2, ns=0}
-166820	预算外	65536	225358	3	{b=9}
-166821	高浓度	65536	237102	3	{b=2, n=0}
-166822	投鼠	90771	25237	1	null
-166823	颓唐	65536	39059	3	{a=0}
-166824	裸袒	65536	35064	3	{v=0}
-166825	防暑降	133780	221860	1	null
-166826	目眩	65536	30446	3	{v=2}
-166827	松墙	100390	26494	1	null
-166828	江南	65536	27743	3	{nr=1, ns=74, nz=5, s=0}
-166829	高深莫	138852	237260	1	null
-166830	平行	88985	24179	2	{v=0, vd=0, vn=0}
-166831	高深莫测	65536	166829	3	{i=0}
-166832	鞍子	65536	38797	3	{n=0}
-166833	高温作	146843	237316	1	null
-166834	时报	89658	26102	2	{n=34, nz=0}
-166835	焦油	65536	28966	3	{n=1}
-166836	蚁酸	65536	34433	3	{n=0}
-166837	高温作业	65536	166833	3	{l=0}
-166838	文书	65536	25991	3	{n=3}
-166839	干警	65536	24178	3	{n=50}
-166840	韩城	140443	38889	2	{ns=0}
-166841	大队	80178	22823	2	{n=29}
-166842	日入	87644	26085	1	null
-166843	项庄	131304	39033	1	null
-166844	避孕	136135	36991	2	{v=10, vn=17}
-166845	日全	81292	26085	1	null
-166846	驼员	65536	39548	3	{n=0}
-166847	高潮迭	130633	237641	1	null
-166848	高潮迭起	65536	166847	3	{l=1}
-166849	陋巷	65536	38475	3	{n=0}
-166850	解说词	65536	214410	3	{n=1}
-166851	平衡	82897	24179	2	{a=58, ad=0, an=8, v=11, vn=10}
-166852	大阪	76315	22823	2	{nr=0, ns=0}
-166853	驯化	65536	39535	3	{v=1, vn=0}
-166854	日共	65536	26085	3	{j=0}
-166855	高炮旅	65536	237961	3	{n=4}
-166856	课余	65536	35838	3	{b=3, t=0}
-166857	日兴	65536	26085	3	{nz=0}
-166858	提箱	65536	25552	3	{n=0, v=0}
-166859	高田乡	65536	239115	3	{ns=0}
-166860	浅黄	65536	27973	3	{b=0, z=1}
-166861	欢迎	105559	27426	2	{v=105, vn=93}
-166862	高瞻远	136230	239766	1	null
-166863	高瞻远瞩	65536	166862	3	{i=4}
-166864	打冷	88139	25171	1	null
-166865	高碑店	142800	239980	2	{ns=0}
-166866	高碑店市	65536	166865	3	{ns=0}
-166867	高碳钢	65536	240014	3	{n=0}
-166868	春播	65536	26149	3	{v=2, vn=3}
-166869	螺丝起	127958	152891	1	null
-166870	诸如	126348	35832	2	{p=1, v=19}
-166871	长话费	65536	234382	3	{n=0}
-166872	高祖母	65536	240177	3	{n=0}
-166873	税则	65536	31246	3	{n=0}
-166874	日内	90502	26085	2	{t=1}
-166875	轨道	119706	36712	2	{n=59}
-166876	高科技	145612	240300	2	{n=0}
-166877	小燕	83607	23567	1	null
-166878	风景如	135189	231073	1	null
-166879	杂活	65536	26434	3	{n=0}
-166880	大陆	77997	22823	2	{n=61}
-166881	洗礼	65536	27927	3	{n=0, v=0, vn=1}
-166882	高科技化	65536	166876	3	{v=1, vn=0}
-166883	靡靡	144231	38753	1	null
-166884	村民	65536	26449	3	{n=114}
-166885	高空作	146894	240469	1	null
-166886	译丛	65536	35793	3	{n=2}
-166887	零售处	65536	208639	3	{n=0}
-166888	高空作业	65536	166885	3	{l=0}
-166889	税利	65536	31246	3	{n=9}
-166890	日冕	100227	26085	2	{n=0}
-166891	计划生	119949	170367	1	null
-166892	高等学校	65536	166950	3	{l=11, n=1}
-166893	集团式	65536	205865	3	{b=0}
-166894	改革	94478	25913	2	{n=0, v=569, vn=713}
-166895	男性	114887	30007	2	{n=9}
-166896	日军	65536	26085	3	{j=0, n=3}
-166897	累计	103957	32047	2	{v=75, vd=0, vn=1}
-166898	绵阳	120284	32501	2	{ns=6}
-166899	收操	65536	25910	3	{v=0}
-166900	江原	90963	27743	1	null
-166901	验收单	65536	180375	3	{n=0}
-166902	税制	65536	31246	3	{n=11}
-166903	高等教育	65536	169497	3	{l=28}
-166904	高等院校	65536	182050	3	{n=7}
-166905	方方	92115	26041	1	null
-166906	目睹	65536	30446	3	{v=16}
-166907	开水	65536	24320	3	{n=5}
-166908	大院	65536	22823	3	{n=5}
-166909	醉拳	65536	37257	3	{n=2}
-166910	高精尖	65536	241049	3	{b=0, j=0}
-166911	高素质	65536	241147	3	{n=0}
-166912	欢送	105552	27426	2	{v=1, vn=0}
-166913	针线活	65536	183253	3	{n=1}
-166914	报知	65536	25253	3	{v=0}
-166915	烧光	65536	28903	3	{v=1}
-166916	沉吟	108161	27785	2	{v=0}
-166917	避实	137835	36991	1	null
-166918	高红村	65536	241533	3	{ns=0}
-166919	提篮	65536	25552	3	{n=0, v=0}
-166920	边缘科	133593	204387	1	null
-166921	高粱米	65536	241036	3	{n=1}
-166922	文人	95269	25991	2	{n=5}
-166923	辰砂	65536	36784	3	{n=0}
-166924	统收	111680	32479	1	null
-166925	自然人	65536	215142	3	{n=0}
-166926	虎虎生风	65536	154421	3	{i=0, l=1}
-166927	骚体	65536	39578	3	{n=0}
-166928	求婚	65536	27714	3	{v=1, vn=0}
-166929	肠绒	118814	32928	1	null
-166930	肠结	119746	32928	1	null
-166931	打出	89508	25171	2	{v=1}
-166932	打击	94631	25171	2	{v=95, vn=25}
-166933	高级中学	65536	167019	3	{l=0}
-166934	阜新	137825	38428	2	{ns=1}
-166935	高级小学	65536	170573	3	{l=0}
-166936	高级神经	65536	178076	3	{l=0}
-166937	高纬度	65536	241543	3	{n=0}
-166938	高耗能	65536	241906	3	{n=1}
-166939	高耸入	146827	241939	1	null
-166940	高耸入云	65536	166939	3	{l=1}
-166941	高聚物	65536	241973	3	{n=0}
-166942	文从	95285	25991	1	null
-166943	打分	65536	25171	3	{v=5, vn=0}
-166944	比勒	88222	27604	1	null
-166945	预备期	65536	216510	3	{t=1}
-166946	高能物	137245	242136	1	null
-166947	高能物理	65536	166946	3	{n=2}
-166948	监票	117606	30417	2	{v=1, vn=0}
-166949	马克思列	142540	165960	1	null
-166950	高等学	140235	240676	1	null
-166951	平装	82894	24179	2	{b=0}
-166952	敌群	65536	25932	3	{n=0}
-166953	高蛋白	65536	243622	3	{b=0, n=0}
-166954	高血压	65536	243995	3	{n=3}
-166955	目瞪	116514	30446	1	null
-166956	蛇纹	120360	34503	1	null
-166957	支那	65536	25903	3	{n=0}
-166958	高脚屋	65536	242165	3	{n=0}
-166959	高视阔	139468	244385	1	null
-166960	站队	65536	31449	3	{v=0}
-166961	高视阔步	65536	166959	3	{i=0}
-166962	暴雨	65536	26292	3	{n=7}
-166963	文代	98426	25991	1	null
-166964	能够	65536	33021	3	{v=202}
-166965	高谈阔	131199	244963	1	null
-166966	设备	65536	35774	3	{n=200}
-166967	知悉	65536	30693	3	{v=0}
-166968	江口	65536	27743	3	{ns=2}
-166969	高谈阔论	65536	166965	3	{i=2}
-166970	高跟鞋	65536	245434	3	{n=0}
-166971	遵循	65536	36981	3	{v=33, vn=1}
-166972	能大	125959	33021	1	null
-166973	监禁	65536	30417	3	{v=1, vn=0}
-166974	蚊香	65536	34442	3	{n=0}
-166975	行李车	65536	212694	3	{n=0}
-166976	韦斯	135184	38886	1	null
-166977	高迢险	143176	245949	1	null
-166978	生产观	65536	188608	3	{n=1}
-166979	高迢险峻	65536	166977	3	{l=1}
-166980	当轴	88165	24403	1	null
-166981	高速公路	65536	166985	3	{n=38}
-166982	文件	97170	25991	2	{n=65}
-166983	韵律操	65536	169080	3	{n=0}
-166984	邪气	65536	37034	3	{n=1}
-166985	高速公	130646	246010	1	null
-166986	高邮市	65536	246153	3	{ns=0}
-166987	放权	65536	25918	3	{v=1, vd=0, vn=0}
-166988	高都镇	65536	246232	3	{ns=3}
-166989	著述	65536	33879	3	{n=0, v=0, vn=0}
-166990	高锰酸	136582	247307	1	null
-166991	日出	87650	26085	2	{nz=0, v=2, vn=0}
-166992	马里兰	142194	242254	2	{ns=1}
-166993	马里共	144584	242254	1	null
-166994	高阳县	65536	247566	3	{ns=0}
-166995	童山	65536	31461	3	{n=0}
-166996	高山仰	139187	232780	1	null
-166997	收支	86048	25910	2	{n=38, v=1, vn=1}
-166998	高锰酸盐	65536	166990	3	{n=0}
-166999	颠扑不破	65536	165003	3	{i=0}
-167000	大难	80355	22823	1	null
-167001	读本	65536	35835	3	{n=2}
-167002	年长	76687	24180	2	{v=2, vn=0}
-167003	大雁	65536	22823	3	{n=1}
-167004	高难度	65536	247705	3	{n=3}
-167005	没事	107464	27809	2	{v=0}
-167006	大雄	76886	22823	1	null
-167007	大雅	80302	22823	2	{n=1}
-167008	大集	65536	22823	3	{n=3}
-167009	税务	119287	31246	2	{n=45}
-167010	天青	70221	22825	2	{b=0}
-167011	小牛	65536	23567	3	{n=2}
-167012	高露洁	65536	247821	3	{nz=0}
-167013	高青县	65536	247853	3	{ns=0}
-167014	打前	83232	25171	1	null
-167015	销货款	65536	179807	3	{n=1}
-167016	高频电	139143	248172	1	null
-167017	高频电波	65536	167016	3	{l=0}
-167018	高风亮节	65536	167021	3	{i=1}
-167019	高级中	143535	241538	1	null
-167020	高高兴兴	65536	167028	3	{z=6}
-167021	高风亮	133608	248233	1	null
-167022	收效	87878	25910	2	{v=3, vn=0}
-167023	高高在上	65536	168488	3	{i=2}
-167024	文传	65536	25991	3	{n=3}
-167025	高高挂起	65536	171522	3	{i=0}
-167026	支部	65536	25903	3	{n=10}
-167027	知情	118890	30693	2	{v=1, vd=0, vn=0}
-167028	高高兴	146168	248755	1	null
-167029	窗户	65536	31383	3	{n=10}
-167030	高鼻子	65536	249878	3	{n=0}
-167031	释怀	65536	37322	3	{v=2}
-167032	瓦头	65536	29926	3	{n=0}
-167033	谋划	65536	35851	3	{v=6, vn=0}
-167034	开河	65536	24320	3	{v=0}
-167035	髯口	65536	39663	3	{n=0}
-167036	暴露	95752	26292	2	{v=22, vn=0}
-167037	鬃刷	65536	39683	3	{n=0}
-167038	日利	90858	26085	1	null
-167039	端详	65536	31471	3	{v=6}
-167040	鬼主意	65536	205816	3	{n=0}
-167041	收敛	65536	25910	3	{v=1, vn=2}
-167042	大雨	77437	22823	2	{n=16}
-167043	绞盘	65536	32478	3	{n=0}
-167044	大雪	67914	22823	2	{n=23, t=4}
-167045	窗扇	65536	31383	3	{n=1}
-167046	放松	65536	25918	3	{a=2, an=0, v=32, vn=2}
-167047	轴箱	65536	36724	3	{n=0}
-167048	销子	65536	38144	3	{n=0}
-167049	鬣狗	65536	39715	3	{n=0}
-167050	鬼使神	143005	206140	1	null
-167051	鬼使神差	65536	167050	3	{i=0}
-167052	鬓发	65536	39699	3	{n=1}
-167053	蛋类	65536	34507	3	{n=0}
-167054	讨价还	132774	161954	1	null
-167055	豆腐粉	65536	191174	3	{n=0}
-167056	谋利	65536	35851	3	{v=4, vn=0}
-167057	食道癌	65536	225356	3	{n=1}
-167058	没什	108225	27809	1	null
-167059	鬼剃头	65536	206848	3	{n=0}
-167060	触电	65536	35302	3	{v=1, vn=0}
-167061	组歌	65536	32452	3	{n=0}
-167062	译介	65536	35793	3	{v=1}
-167063	鬼哭狼	144908	207530	1	null
-167064	大雾	65536	22823	3	{n=8}
-167065	骤变	65536	39588	3	{vn=0}
-167066	鬼哭狼嚎	65536	167063	3	{i=0}
-167067	蛋粉	65536	34507	3	{n=0}
-167068	鬼哭神嚎	65536	168697	3	{i=0}
-167069	鬼头鬼	134029	208625	1	null
-167070	鬼头鬼脑	65536	167069	3	{i=0}
-167071	鬼把戏	65536	211015	3	{n=0}
-167072	鬼斧神	143036	211812	1	null
-167073	鬼斧神工	65536	167072	3	{i=0}
-167074	日前	65536	26085	3	{t=266}
-167075	文体	94486	25991	2	{n=13}
-167076	限定词	65536	172298	3	{n=0}
-167077	略迹	114965	30053	1	null
-167078	鬼灵精	65536	214578	3	{n=0}
-167079	鬼点子	65536	214646	3	{n=0}
-167080	鬼画符	65536	215800	3	{n=0}
-167081	来往	65536	26469	3	{v=6, vn=1}
-167082	锤炼	65536	38180	3	{v=2, vn=0}
-167083	鬼花招	65536	219246	3	{n=0}
-167084	谵语	65536	35893	3	{n=0, v=0}
-167085	收文	86058	25910	2	{n=0, v=0}
-167086	鬼蜮伎	146630	220395	1	null
-167087	鬼蜮伎俩	65536	167086	3	{i=0}
-167088	违章率	65536	175939	3	{n=2}
-167089	鬼计多	135621	221534	1	null
-167090	英姿飒	119895	195348	1	null
-167091	谨而	129236	35880	1	null
-167092	鬼计多端	65536	167089	3	{i=0}
-167093	鬼话连	135408	221594	1	null
-167094	略逊	116409	30053	1	null
-167095	鬼话连篇	65536	167093	3	{l=0}
-167096	鬼迷心	135724	222644	1	null
-167097	鬼迷心窍	65536	167096	3	{i=1}
-167098	阖家欢	141828	161866	1	null
-167099	鬼针草	65536	223813	3	{n=0}
-167100	鬼门关	65536	224165	3	{n=0}
-167101	鬼鬼祟	136031	225529	1	null
-167102	鬼鬼祟祟	65536	167101	3	{i=0}
-167103	魁北克	136642	167110	2	{ns=0}
-167104	来得	102198	26469	2	{v=2}
-167105	打动	65536	25171	3	{v=10}
-167106	锐敏	65536	38160	3	{a=0}
-167107	魁北克省	65536	167103	3	{ns=8}
-167108	打劫	65536	25171	3	{v=0}
-167109	魂不守	133820	167193	1	null
-167110	魁北	146292	39745	1	null
-167111	调制解	118095	210013	1	null
-167112	曲艺	99575	26354	2	{n=3}
-167113	魂不守舍	65536	167109	3	{i=0}
-167114	魂不附体	65536	182145	3	{i=0}
-167115	魂兮归	140648	168058	1	null
-167116	机关	102224	26426	2	{n=354}
-167117	魂兮归来	65536	167115	3	{l=2}
-167118	政要	65536	25919	3	{j=3, n=11}
-167119	年间	65536	24180	3	{f=0, n=2}
-167120	机具	65536	26426	3	{n=1}
-167121	鞍山	140366	38797	2	{ns=7}
-167122	开洋	76576	24320	1	null
-167123	魂牵梦	135136	176513	1	null
-167124	魂飞魄	141170	186346	1	null
-167125	魂飞魄散	65536	167124	3	{i=0}
-167126	蚌雕	65536	34444	3	{n=0}
-167127	支配	91395	25903	2	{v=9, vn=4}
-167128	驱动	145153	39537	2	{v=2, vn=4}
-167129	当选	65536	24403	3	{v=86, vn=9}
-167130	魄力	65536	39748	3	{n=2}
-167131	魂牵梦系	65536	167123	3	{l=0}
-167132	驴年	126795	39540	1	null
-167133	痛击	65536	30171	3	{v=0}
-167134	机内	92503	26426	1	null
-167135	收方	65536	25910	3	{n=0}
-167136	魄散魂	128003	171938	1	null
-167137	魄散魂飞	65536	167136	3	{i=0}
-167138	魅力	65536	39749	3	{n=57}
-167139	魏县	65536	39759	3	{ns=1}
-167140	汇费	65536	27719	3	{n=0}
-167141	跨年	131584	36328	1	null
-167142	频出	65536	39057	3	{v=0}
-167143	蛋糕	65536	34507	3	{n=10}
-167144	魏塘镇	65536	168316	3	{ns=0}
-167145	痛切	65536	30171	3	{d=0}
-167146	魏都区	65536	182817	3	{ns=0}
-167147	防弹背	137435	219980	1	null
-167148	大青	76689	22823	1	null
-167149	魔术师	65536	178712	3	{n=1}
-167150	魔高一	147177	191937	1	null
-167151	革囊	65536	38761	3	{n=0}
-167152	烧制	65536	28903	3	{v=1, vn=1}
-167153	魔高一丈	65536	167150	3	{i=0}
-167154	秦都	119334	31206	1	null
-167155	大静	67324	22823	1	null
-167156	鱼丸子	65536	215178	3	{n=0}
-167157	鱼子酱	65536	218530	3	{n=0}
-167158	鱼尾纹	65536	218768	3	{n=0}
-167159	鱼死网	136390	222669	1	null
-167160	雏形	65536	38607	3	{n=8}
-167161	文侩	65536	25991	3	{n=0}
-167162	鱼死网破	65536	167159	3	{i=0}
-167163	鱼水情	139022	222854	2	{n=4}
-167164	大面	79560	22823	2	{n=0}
-167165	猪排	65536	29482	3	{n=0}
-167166	郁热	65536	37057	3	{a=0}
-167167	鱼水情深	65536	167163	3	{l=2}
-167168	排行	89836	25490	2	{n=0, v=1}
-167169	工钱	65536	24037	3	{n=8}
-167170	鱼游釜	147160	223370	1	null
-167171	大革	78732	22823	1	null
-167172	荣成	125515	33635	1	null
-167173	鱼游釜中	65536	167170	3	{i=0}
-167174	颊囊	65536	39050	3	{n=0}
-167175	鱼目混	137512	225600	1	null
-167176	鱼目混珠	65536	167175	3	{i=1}
-167177	进口税	65536	206698	3	{n=1}
-167178	鱼石脂	65536	225861	3	{n=0}
-167179	鱼米之	147116	227013	1	null
-167180	春日	65536	26149	3	{t=0}
-167181	鱼米之乡	65536	167179	3	{i=1}
-167182	政见	65536	25919	3	{n=0}
-167183	鱼类学	65536	227021	3	{n=0}
-167184	鱼肚白	65536	228076	3	{n=0}
-167185	雕像	140576	38613	2	{n=25}
-167186	鱼肝油	65536	228079	3	{n=0}
-167187	鱼贩子	65536	231291	3	{n=0}
-167188	甜蜜	100896	29980	2	{a=6, an=1, vn=0}
-167189	税单	65536	31246	3	{n=0}
-167190	改频	65536	25913	3	{v=0}
-167191	跨度	65536	36328	3	{n=11}
-167192	春旱	65536	26149	3	{n=0}
-167193	魂不	143677	39746	1	null
-167194	鱼腥味	65536	228279	3	{n=0}
-167195	鱼贯而	146362	231297	1	null
-167196	求学	65536	27714	3	{v=6, vn=1}
-167197	成立	65536	25104	3	{v=279, vn=10}
-167198	打包	88257	25171	2	{v=0, vn=0}
-167199	鱼贯而入	65536	167195	3	{i=0}
-167200	林种	65536	26519	3	{n=0}
-167201	税卡	65536	31246	3	{n=0}
-167202	鱼跃龙	128830	231445	1	null
-167203	当道	65536	24403	3	{s=0, v=0}
-167204	林科	85527	26519	1	null
-167205	永诀	65536	27704	3	{v=0}
-167206	鱼跃龙门	65536	167202	3	{i=0}
-167207	译作	65536	35793	3	{n=0}
-167208	平视	65536	24179	3	{v=0}
-167209	柳芽	65536	26611	3	{n=0}
-167210	阿拉伯文	65536	162572	3	{nz=0}
-167211	年限	65536	24180	3	{n=1}
-167212	点头	112553	28857	2	{v=5}
-167213	文保	65536	25991	3	{j=0}
-167214	焦渴	65536	28966	3	{a=0}
-167215	鱼雷舰	65536	233801	3	{n=0}
-167216	自然保	122523	215142	1	null
-167217	胸墙	65536	33016	3	{n=0}
-167218	踢踏	122649	36386	1	null
-167219	小猫	77922	23567	1	null
-167220	平角	65536	24179	3	{n=0}
-167221	趟马	65536	36255	3	{n=0}
-167222	鱼香肉	147228	234475	1	null
-167223	稻飞	106557	31291	1	null
-167224	苍山	127426	33485	2	{n=0, ns=6}
-167225	鱼香肉丝	65536	167222	3	{n=0}
-167226	鱼鳞坑	65536	235312	3	{n=0}
-167227	电子称	65536	192405	3	{n=0}
-167228	鱼龙混	140795	236011	1	null
-167229	鱼龙混杂	65536	167228	3	{i=0}
-167230	旧观	65536	26087	3	{n=0}
-167231	遭灾	65536	36973	3	{v=1, vn=0}
-167232	象牙者	65536	166441	3	{n=1}
-167233	钉梢	65536	38025	3	{v=0}
-167234	鱿鱼	65536	40063	3	{n=0}
-167235	费城	65536	36153	3	{ns=0}
-167236	纵切	104683	32437	1	null
-167237	鲁克沁	135975	172944	1	null
-167238	鱼雷艇	65536	233801	3	{n=0}
-167239	鲁克沁稠	139407	167237	1	null
-167240	鲁克沁稠油	65536	167239	3	{n=1}
-167241	蚕纸	65536	34453	3	{n=0}
-167242	轩辕	132213	36713	2	{n=0, nr=0, ns=0}
-167243	成竹	91853	25104	1	null
-167244	过街老	116522	225095	1	null
-167245	鲁南区	65536	173468	3	{n=0}
-167246	鲁山县	65536	175798	3	{ns=0}
-167247	鲁斯塔	146437	178164	1	null
-167248	鲁斯塔克	65536	167247	3	{ns=0}
-167249	鲁殿灵	146441	179716	1	null
-167250	鲁殿灵光	65536	167249	3	{i=0}
-167251	核儿	65536	26680	3	{n=0}
-167252	求实	65536	27714	3	{a=0, nr=0, v=8, vd=0, vn=1}
-167253	赃证	65536	36163	3	{n=1}
-167254	鲁迅文	143857	188938	1	null
-167255	鲁迅文学	144388	167254	1	null
-167256	青年宫	65536	221144	3	{n=0}
-167257	鲁班奖	65536	181810	3	{nz=5}
-167258	鲁迅文学奖	65536	167255	3	{nz=1}
-167259	报社	65536	25253	3	{n=10}
-167260	渔码	108072	28180	1	null
-167261	鲁鱼亥	131337	192193	1	null
-167262	鲁鱼亥豕	65536	167261	3	{i=0}
-167263	鲁鱼帝虎	65536	171221	3	{i=0}
-167264	舌癌	65536	33292	3	{n=0}
-167265	递增	128719	36882	2	{v=23, vd=0, vn=1}
-167266	鲅鱼	144987	40069	2	{n=0}
-167267	鲅鱼圈	145962	167266	1	null
-167268	鲅鱼圈区	65536	167267	3	{ns=0}
-167269	鲇鱼	65536	40071	3	{n=0}
-167270	鲈鱼	65536	40072	3	{n=0}
-167271	物色	65536	29289	3	{v=2}
-167272	方木	65536	26041	3	{n=0}
-167273	驱动器	65536	167128	3	{n=1}
-167274	鲍峡	129061	40077	1	null
-167275	日化	65536	26085	3	{j=2}
-167276	鲍峡镇	65536	167274	3	{ns=0}
-167277	霍尔	137280	38669	1	null
-167278	干贝	65536	24178	3	{n=0}
-167279	鲑鱼	65536	40081	3	{n=0}
-167280	苍岩	125202	33485	2	{ns=8}
-167281	校外	65536	26657	3	{f=0, s=2}
-167282	鲜为人	136590	191004	1	null
-167283	鲜为人知	65536	167282	3	{i=9}
-167284	鲜嫩嫩	65536	194251	3	{z=0}
-167285	较真	136020	36739	2	{a=0, v=0}
-167286	鲜牛奶	65536	200253	3	{n=0}
-167287	风雨同	132001	243482	1	null
-167288	干货	65536	24178	3	{n=0}
-167289	迟疑	137847	36831	2	{a=1, an=1}
-167290	打卡	88259	25171	1	null
-167291	鲜红色	65536	203396	3	{n=1}
-167292	鲜绿色	65536	203489	3	{n=0}
-167293	春晖	65536	26149	3	{n=1}
-167294	社论	65536	31038	3	{n=15}
-167295	鲜艳夺	136851	204373	1	null
-167296	课间餐	65536	184931	3	{n=0}
-167297	鲜艳夺目	65536	167295	3	{l=4}
-167298	鲜花丛	65536	204435	3	{n=0}
-167299	大韩	72699	22823	2	{ns=1}
-167300	连环画	65536	216730	3	{n=1}
-167301	阿斯旺	65536	218994	3	{ns=0}
-167302	鲜酵母	65536	208215	3	{n=0}
-167303	鲠直	65536	40096	3	{a=0}
-167304	社评	65536	31038	3	{n=5}
-167305	打印	93204	25171	2	{v=4, vn=2}
-167306	天顺	65536	22825	3	{t=0}
-167307	青稞麦	65536	228226	3	{n=0}
-167308	鲢鱼	65536	40098	3	{n=0}
-167309	稳重	65536	31283	3	{a=0, an=0}
-167310	鲣鸟	65536	40099	3	{n=0}
-167311	机制	101959	26426	2	{n=281}
-167312	鲤鱼	142146	40100	2	{n=3}
-167313	王庄	108269	29579	1	null
-167314	蝶骨	65536	34678	3	{n=0}
-167315	纵剖	104684	32437	1	null
-167316	连通管	65536	224005	3	{n=0}
-167317	鲤鱼打	141916	167312	1	null
-167318	鲤鱼打挺	65536	167317	3	{i=0}
-167319	防洪法	65536	223549	3	{n=2}
-167320	评头论	116976	197402	1	null
-167321	鲥鱼	65536	40101	3	{n=0}
-167322	融解	65536	34701	3	{v=0}
-167323	暗沉	93889	26263	1	null
-167324	日升	94310	26085	1	null
-167325	键板	65536	38190	3	{n=1}
-167326	鲨鱼	65536	40104	3	{n=0}
-167327	鲫鱼	65536	40107	3	{n=2}
-167328	鲭江	65536	40109	3	{ns=0}
-167329	年集	65536	24180	3	{n=0}
-167330	营业部	65536	168703	3	{n=18}
-167331	鲮鱼	65536	40110	3	{n=0}
-167332	诸子	123514	35832	1	null
-167333	飞机库	65536	219315	3	{n=0}
-167334	蓬荜	127824	34028	1	null
-167335	板荡	88091	26495	1	null
-167336	累赘	65536	32047	3	{an=0}
-167337	王府	114603	29579	2	{n=0}
-167338	鲱鱼	65536	40113	3	{n=2}
-167339	缺字	65536	32570	3	{n=3}
-167340	鲲鹏	65536	40114	3	{n=0}
-167341	鲳鱼	65536	40115	3	{n=0}
-167342	熟能	103219	29087	1	null
-167343	核军	101696	26680	1	null
-167344	鲶鱼	65536	40118	3	{n=1}
-167345	暗沟	65536	26263	3	{n=0}
-167346	树状	65536	26641	3	{b=0}
-167347	鳄鱼	136824	40132	2	{n=1, nz=0}
-167348	鳄鱼眼	139467	167347	1	null
-167349	鳄鱼眼泪	65536	167348	3	{i=0}
-167350	推荐	96639	25512	2	{v=17, vn=5}
-167351	自由主	127780	216161	1	null
-167352	鳊鱼	65536	40138	3	{n=0}
-167353	鲸吞	65536	40120	3	{v=0}
-167354	鳏夫	65536	40143	3	{n=0}
-167355	鳏寡孤	137938	168048	1	null
-167356	早起	65536	26089	3	{v=2}
-167357	春暖	87701	26149	1	null
-167358	鳏寡孤独	65536	167355	3	{i=3}
-167359	鳔胶	65536	40148	3	{n=0}
-167360	鳕鱼	65536	40149	3	{n=0}
-167361	辉煌	65536	36745	3	{a=49, an=18, vn=0}
-167362	鳖精	65536	40150	3	{n=1}
-167363	鳗鱼	65536	40151	3	{n=1}
-167364	接茬	65536	25509	3	{v=0}
-167365	暗河	65536	26263	3	{n=0}
-167366	鳙鱼	65536	40153	3	{n=0}
-167367	童工	65536	31461	3	{n=3}
-167368	跟手	65536	36319	3	{d=0}
-167369	湖面	65536	28246	3	{n=5}
-167370	霍山	142252	38669	2	{ns=0}
-167371	鳜鱼	65536	40156	3	{n=2}
-167372	莫利	126835	33707	1	null
-167373	营养链	65536	169568	3	{n=0}
-167374	隆宝	134545	38534	1	null
-167375	工长	65536	24037	3	{n=2}
-167376	烧化	65536	28903	3	{v=0}
-167377	蛀齿	65536	34496	3	{n=0}
-167378	鳝鱼	65536	40157	3	{n=0}
-167379	鳞次栉	139776	171573	1	null
-167380	鳞次栉比	65536	167379	3	{i=1}
-167381	雁城	65536	38593	3	{n=1}
-167382	祖籍	65536	31062	3	{n=4}
-167383	柳荫	65536	26611	3	{n=0}
-167384	赘言	65536	36184	3	{n=0}
-167385	诀要	65536	35776	3	{n=0}
-167386	核准	65536	26680	3	{v=9, vn=0}
-167387	日历	85516	26085	2	{n=4}
-167388	鳞翅目	65536	176857	3	{n=0}
-167389	鳟鱼	65536	40159	3	{n=0}
-167390	鸟尽弓	133136	190634	1	null
-167391	鸟尽弓藏	65536	167390	3	{i=0}
-167392	鸟枪换	138548	193559	1	null
-167393	条规	65536	26465	3	{n=0}
-167394	鸟枪换炮	65536	167392	3	{i=0}
-167395	核减	65536	26680	3	{v=0}
-167396	鸟类学	65536	198888	3	{n=0}
-167397	鸟粪层	65536	198935	3	{n=0}
-167398	鸟语林	65536	202842	3	{n=0}
-167399	鸟语花香	65536	174336	3	{i=1}
-167400	鳗鲡	65536	40151	3	{n=0}
-167401	成算	65536	25104	3	{n=0}
-167402	打发	65536	25171	3	{v=3}
-167403	鸠山	65536	40480	3	{nr=0}
-167404	鸡公车	65536	214079	3	{n=0}
-167405	鸡内金	65536	214104	3	{n=0}
-167406	郎溪	137616	37070	1	null
-167407	鸡口牛	145890	214710	1	null
-167408	鸡口牛后	65536	167407	3	{l=0}
-167409	牙床	65536	29273	3	{n=0}
-167410	间接税	65536	182361	3	{n=0}
-167411	鸡场主	65536	215565	3	{n=1}
-167412	鸡冠子	65536	214131	3	{n=0}
-167413	小班	65536	23567	3	{n=0}
-167414	星象	65536	26143	3	{n=0}
-167415	雇工	65536	38599	3	{n=3, v=0, vn=0}
-167416	鸡头米	65536	216071	3	{n=0}
-167417	鸡尸牛	147247	216843	1	null
-167418	机务	95657	26426	2	{n=1}
-167419	蓬莱	130332	34028	2	{ns=1}
-167420	明哲	100365	26126	1	null
-167421	鸡尸牛从	65536	167417	3	{i=0}
-167422	飞行史	65536	227781	3	{n=1}
-167423	诸宫	118007	35832	1	null
-167424	鸡尾酒	147179	216849	2	{n=4}
-167425	机动	98661	26426	2	{a=5, an=0, b=5, n=0}
-167426	肠胃	116280	32928	2	{n=0}
-167427	成箱	65536	25104	3	{v=0}
-167428	心气	65536	24515	3	{n=0}
-167429	鸡尾酒会	65536	167424	3	{n=0}
-167430	驶入	65536	39542	3	{v=5}
-167431	鸡毛掸子	65536	172518	3	{n=0}
-167432	鸡毛蒜皮	65536	180938	3	{i=0}
-167433	鸡爪疯	65536	222461	3	{n=0}
-167434	销售奖	65536	165478	3	{n=4}
-167435	小球	72691	23567	1	null
-167436	谎花	65536	35854	3	{n=0}
-167437	王开	65536	29579	3	{nz=0}
-167438	诤言	65536	35812	3	{n=0}
-167439	鸡毛信	65536	220846	3	{n=0}
-167440	烧卖	65536	28903	3	{n=0}
-167441	螺蛳	65536	34746	3	{n=0}
-167442	裁纸	125470	35009	1	null
-167443	大项	65536	22823	3	{n=6}
-167444	战略	93038	25112	2	{n=341}
-167445	鸡犬之声	136993	167527	1	null
-167446	比哈	103131	27604	1	null
-167447	月浦	65536	26376	3	{ns=0}
-167448	暴风	83119	26292	2	{n=0}
-167449	鸡犬之声相	129058	167445	1	null
-167450	曲菌	65536	26354	3	{n=0}
-167451	金银滩	65536	235192	3	{ns=0}
-167452	颁布	65536	39041	3	{v=31, vn=1}
-167453	鸡犬之声相闻	65536	167449	3	{i=0}
-167454	林立	65536	26519	3	{v=3}
-167455	鸡犬升天	65536	168803	3	{i=0, l=0}
-167456	韶山	142169	38902	2	{ns=0}
-167457	韵头	65536	38901	3	{n=0}
-167458	陨石	140532	38504	2	{n=0}
-167459	打吊	76670	25171	1	null
-167460	韧带	65536	38887	3	{n=0}
-167461	鸡皮疙	137214	223617	1	null
-167462	柳莺	65536	26611	3	{n=0}
-167463	鸡皮疙瘩	65536	167461	3	{l=0}
-167464	甘孜	65536	29976	3	{ns=0}
-167465	鸡犬不	144072	222591	1	null
-167466	鸡皮鹤发	65536	177904	3	{i=0}
-167467	报税	65536	25253	3	{vn=0}
-167468	鸡肠鼠	134548	226163	1	null
-167469	年青	89308	24180	2	{a=0}
-167470	鸡肠鼠肚	65536	167468	3	{l=0}
-167471	高中档	65536	229128	3	{j=0}
-167472	鸡虫得	144649	227646	1	null
-167473	方柱	65536	26041	3	{n=2}
-167474	大题	76804	22823	1	null
-167475	收服	65536	25910	3	{v=0}
-167476	谋反	65536	35851	3	{v=0}
-167477	集成板	65536	208727	3	{n=0}
-167478	穿甲	116917	31359	1	null
-167479	大额	65536	22823	3	{b=5, n=0}
-167480	来意	65536	26469	3	{n=2}
-167481	蛇胆	65536	34503	3	{n=0}
-167482	鸡虫得失	65536	167472	3	{i=0}
-167483	鸡血石	65536	228115	3	{n=0}
-167484	鸡蛋壳	65536	227742	3	{n=0}
-167485	谋取	65536	35851	3	{v=8}
-167486	莫力	112897	33707	1	null
-167487	雌激	131351	38604	1	null
-167488	干路	65536	24178	3	{n=0}
-167489	雕凿	65536	38613	3	{v=0}
-167490	雕刀	65536	38613	3	{n=0}
-167491	鸡西市	65536	228434	3	{ns=0}
-167492	工间	82433	24037	1	null
-167493	打听	65536	25171	3	{v=11}
-167494	鸡零狗	136633	231881	1	null
-167495	鸡零狗碎	65536	167494	3	{i=0}
-167496	鸡霍乱	65536	231904	3	{n=0}
-167497	鸡犬不宁	65536	167465	3	{i=0}
-167498	鸡飞蛋	142332	232369	1	null
-167499	睡魔	65536	30561	3	{n=0}
-167500	时政	65536	26102	3	{n=0}
-167501	触目	127903	35302	1	null
-167502	诱人	65536	35825	3	{a=10, v=0}
-167503	鸡飞蛋打	65536	167498	3	{i=0}
-167504	鸡鸣狗	137082	233718	1	null
-167505	鸡鸣狗盗	65536	167504	3	{i=0}
-167506	链球	127136	38142	2	{n=0}
-167507	暗流	65536	26263	3	{n=0}
-167508	鸡鸣而起	65536	170885	3	{i=0}
-167509	时效	97909	26102	2	{n=5}
-167510	童年	65536	31461	3	{t=8}
-167511	开源	76805	24320	2	{v=1, vn=0}
-167512	隆尧	141505	38534	1	null
-167513	木乃	102598	26408	1	null
-167514	闪亮	65536	38378	3	{v=5, vd=0}
-167515	鸣不平	65536	167924	3	{l=1}
-167516	鸣冤叫	143894	168843	1	null
-167517	监管	104993	30417	2	{j=0, v=16, vn=95}
-167518	鸣冤叫屈	65536	167516	3	{i=0}
-167519	鸣沙山	65536	175744	3	{ns=0}
-167520	鸣谢碑	65536	183817	3	{n=1}
-167521	鸣金收	146673	185272	1	null
-167522	松子	91815	26494	2	{n=0}
-167523	日后	65536	26085	3	{t=5}
-167524	飞行员	65536	227781	3	{n=6}
-167525	缺少	65536	32570	3	{v=33}
-167526	鸣金收兵	65536	167521	3	{i=0}
-167527	鸡犬之	144677	222591	1	null
-167528	大风	77553	22823	2	{n=7}
-167529	鸣锣开	130583	186122	1	null
-167530	鸣锣开道	65536	167529	3	{i=1}
-167531	鸦有	146080	40486	1	null
-167532	收杆	65536	25910	3	{v=0}
-167533	鸦有反	145782	167531	1	null
-167534	计时赛	65536	175459	3	{n=0}
-167535	萨拉	121179	33832	1	null
-167536	鸦有反哺	147494	167533	1	null
-167537	鸦有反哺之	147497	167536	1	null
-167538	鸦有反哺之义	65536	167537	3	{i=0}
-167539	鸦片战	147436	170409	1	null
-167540	隔离法	65536	192679	3	{n=0}
-167541	鸦片战争	65536	167539	3	{nz=1}
-167542	蠢货	65536	34850	3	{n=0}
-167543	裁缝	127684	35009	2	{n=1, v=0, vn=0}
-167544	鸦胆子	65536	174120	3	{n=0}
-167545	方根	65536	26041	3	{n=0}
-167546	拉皮	89407	25289	1	null
-167547	鸦雀无	144782	179746	1	null
-167548	方格	98034	26041	2	{n=1}
-167549	雕刻	142436	38613	2	{n=3, v=3, vn=2}
-167550	鸦雀无声	65536	167547	3	{i=2}
-167551	鸦飞雀	147471	180288	1	null
-167552	鸦飞雀乱	65536	167551	3	{i=0}
-167553	鸨母	65536	40488	3	{n=0}
-167554	鸩毒	65536	40489	3	{n=0}
-167555	纪念日	65536	157968	3	{n=5}
-167556	蜂王	123177	34562	2	{n=0}
-167557	鸫鸟	65536	40491	3	{n=0}
-167558	方框	97339	26041	2	{n=0}
-167559	收条	65536	25910	3	{n=0}
-167560	方案	65536	26041	3	{n=120}
-167561	鸬鹚	65536	40492	3	{n=0}
-167562	选民证	65536	214163	3	{n=0}
-167563	鸭儿梨	65536	173618	3	{n=0}
-167564	方桌	65536	26041	3	{n=0}
-167565	汉剧	65536	27721	3	{n=0}
-167566	残损	65536	27531	3	{v=0, vn=0}
-167567	隋朝	65536	38539	3	{t=3}
-167568	鸭广梨	65536	177010	3	{n=0}
-167569	鸭绒被	65536	185285	3	{n=0}
-167570	鸭绿江	146102	185330	2	{ns=2}
-167571	狂潮	65536	29378	3	{n=0}
-167572	时文	65536	26102	3	{n=0}
-167573	打呼	92588	25171	1	null
-167574	通缉犯	65536	225109	3	{n=0}
-167575	排解	65536	25490	3	{v=1}
-167576	赴约	65536	36212	3	{v=1}
-167577	鸭绿江口	65536	167570	3	{ns=0}
-167578	鸭舌帽	65536	186111	3	{n=0}
-167579	驶出	65536	39542	3	{v=1}
-167580	自然光	65536	215142	3	{n=1}
-167581	鸭蛋形	65536	187326	3	{n=0}
-167582	鸭行鹅	140092	187711	1	null
-167583	当量	82968	24403	2	{n=1}
-167584	自然免	117657	215142	1	null
-167585	鸭行鹅步	65536	167582	3	{i=0}
-167586	鸳鸯	142485	40499	2	{n=0}
-167587	艳阳	125540	33395	2	{n=0}
-167588	鸳鸯戏	139889	167586	1	null
-167589	鸳鸯戏水	65536	167588	3	{l=0}
-167590	鸵鸟	141673	40501	2	{n=1}
-167591	规定	131980	35268	2	{n=234, v=168, vn=38}
-167592	鸵鸟政	136022	167590	1	null
-167593	天香	78660	22825	1	null
-167594	大餐	65536	22823	3	{n=2}
-167595	鸭嘴兽	65536	174887	3	{n=0}
-167596	鸵鸟政策	65536	167592	3	{l=0}
-167597	开滦	65536	24320	3	{ns=2}
-167598	边防站	65536	210301	3	{n=2}
-167599	鸷鸟	65536	40503	3	{n=0}
-167600	额手	133748	39069	1	null
-167601	登记	117101	30331	2	{n=0, v=30, vn=16}
-167602	蹑足	127517	36433	1	null
-167603	政警	65536	25919	3	{j=0}
-167604	敌舰	65536	25932	3	{n=0}
-167605	鸸鹋	65536	40504	3	{n=0}
-167606	鸽子	65536	40509	3	{n=1}
-167607	鸾凤	145964	40510	2	{n=0}
-167608	鸾凤和	127126	167607	1	null
-167609	鸾凤和鸣	65536	167608	3	{i=0}
-167610	鸾飘凤	139761	185771	1	null
-167611	鸾飘凤泊	65536	167610	3	{i=0}
-167612	核动	103346	26680	1	null
-167613	时新	65536	26102	3	{a=0}
-167614	鸿篇巨	146569	182283	1	null
-167615	鸿篇巨制	65536	167614	3	{i=1}
-167616	提级	65536	25552	3	{v=0}
-167617	狂澜	65536	29378	3	{n=0}
-167618	释手	65536	37322	3	{v=0}
-167619	鸿门宴	65536	188972	3	{n=0}
-167620	鸿雁传	147552	189189	1	null
-167621	明喻	65536	26126	3	{n=0}
-167622	鸿雁传书	65536	167620	3	{i=1}
-167623	文具	94474	25991	2	{n=7}
-167624	提纯	65536	25552	3	{v=0, vn=0}
-167625	设定	65536	35774	3	{v=4, vn=0}
-167626	鸿鹄之	143093	191112	1	null
-167627	提纲	91882	25552	2	{n=3}
-167628	鸿鹄之志	65536	167626	3	{i=0}
-167629	鹁鸪	65536	40513	3	{n=0}
-167630	毒杀	65536	27602	3	{v=0}
-167631	自由体	122017	216161	1	null
-167632	木人	92128	26408	1	null
-167633	鹅冠草	65536	168214	3	{n=0}
-167634	遗产税	65536	209962	3	{n=0}
-167635	鹅卵石	65536	168683	3	{n=1}
-167636	藤筐	65536	34276	3	{n=1}
-167637	终生	65536	32456	3	{b=0, d=1, m=7}
-167638	鹅口疮	65536	168793	3	{n=0}
-167639	鹅掌风	65536	172802	3	{n=0}
-167640	提线	90830	25552	1	null
-167641	陈列柜	65536	189657	3	{n=0}
-167642	飘飘欲	145213	215970	1	null
-167643	开演	65536	24320	3	{v=0}
-167644	鹅毛大雪	65536	167663	3	{i=1, l=0}
-167645	至多	65536	33267	3	{d=0}
-167646	鹅蛋脸	65536	181825	3	{n=0}
-167647	打哆	92707	25171	1	null
-167648	鹁鸽	65536	40513	3	{n=0}
-167649	打哈	92996	25171	1	null
-167650	教父	65536	25945	3	{n=0}
-167651	设宴	65536	35774	3	{v=2}
-167652	鹅行鸭	140160	182210	1	null
-167653	鹅行鸭步	65536	167652	3	{i=0}
-167654	打响	65536	25171	3	{v=13}
-167655	计程表	65536	180600	3	{n=0}
-167656	须弥	140495	39035	1	null
-167657	谦虚	118254	35878	2	{a=4, ad=0, an=1}
-167658	鹅观草	65536	182584	3	{n=0}
-167659	鹈鹕	65536	40520	3	{n=1}
-167660	电子管	65536	192405	3	{n=0}
-167661	鹊巢鸠	146318	167673	1	null
-167662	鹊巢鸠占	65536	167661	3	{i=0}
-167663	鹅毛大	129010	174929	1	null
-167664	文冠	92170	25991	1	null
-167665	鹊桥会	65536	170364	3	{n=0}
-167666	时日	65536	26102	3	{n=3}
-167667	暗淡	93548	26263	2	{a=2}
-167668	林管	100413	26519	1	null
-167669	邻村	65536	37051	3	{n=4}
-167670	行政诉	115777	212167	1	null
-167671	鹊桥相会	65536	177871	3	{i=0}
-167672	鹌鹑	65536	40524	3	{n=0}
-167673	鹊巢	127181	40522	1	null
-167674	查处	65536	26597	3	{v=59, vn=8}
-167675	目空	118025	30446	1	null
-167676	非国有	131651	220300	2	{vn=6}
-167677	报章	89122	25253	2	{n=0}
-167678	鹏程万	130355	176446	1	null
-167679	鹏程万里	65536	167678	3	{i=1}
-167680	鹤发童	128625	167815	1	null
-167681	鹏城	65536	40527	3	{ns=0, s=1}
-167682	报童	65536	25253	3	{n=0}
-167683	时时	99648	26102	2	{d=10}
-167684	讨教	65536	35752	3	{v=0}
-167685	手球	92201	25163	2	{n=0}
-167686	野战炮	65536	209748	3	{n=0}
-167687	政论	94627	25919	2	{n=0}
-167688	详解	65536	35814	3	{v=0}
-167689	比喻	65536	27604	3	{n=1, v=1}
-167690	非同寻	139986	219547	1	null
-167691	大饱	69856	22823	1	null
-167692	报端	65536	25253	3	{n=2}
-167693	鹤发童颜	65536	167680	3	{i=0}
-167694	鹤发鸡皮	65536	176700	3	{i=0}
-167695	鹤嘴镐	65536	168426	3	{n=0}
-167696	鹞子	65536	40542	3	{n=0}
-167697	甘居	115405	29976	1	null
-167698	查夜	65536	26597	3	{v=0}
-167699	诱使	65536	35825	3	{v=1}
-167700	超凡脱	135026	204576	1	null
-167701	鹤壁市	65536	169079	3	{ns=5}
-167702	大饼	65536	22823	3	{n=2}
-167703	鹤山市	65536	170023	3	{ns=3}
-167704	鹤岗市	65536	170061	3	{ns=0}
-167705	鹤峰县	65536	170150	3	{ns=0}
-167706	谜语	65536	35868	3	{n=1}
-167707	鹤庆县	65536	170556	3	{ns=0}
-167708	鹤立鸡	135033	177793	1	null
-167709	鹤立鸡群	65536	167708	3	{i=0}
-167710	非同小	142620	219547	1	null
-167711	鹦哥	135202	40550	2	{n=0}
-167712	那么点	138138	196256	1	null
-167713	鹦哥绿	65536	167711	3	{n=0}
-167714	顽军	65536	39037	3	{n=1}
-167715	板蓝	97206	26495	1	null
-167716	鹦鹉学	134428	186499	1	null
-167717	都江	136556	37117	1	null
-167718	街办	65536	34903	3	{vn=1}
-167719	小生	86856	23567	2	{n=0}
-167720	鹦鹉学舌	65536	167716	3	{i=0}
-167721	蹑踪	65536	36433	3	{v=0}
-167722	鹧鸪	133967	40551	2	{n=1}
-167723	鹧鸪菜	65536	167722	3	{n=0}
-167724	鹩哥	65536	40553	3	{n=0}
-167725	耐磨	121236	32784	2	{a=0}
-167726	蒸锅	65536	33976	3	{n=0}
-167727	诱供	65536	35825	3	{v=0}
-167728	粮棉	114668	31918	2	{n=3}
-167729	赣莲	65536	36195	3	{nz=0}
-167730	稀释	119774	31232	2	{v=1, vn=1}
-167731	暗渡	83210	26263	1	null
-167732	稀里	108899	31232	1	null
-167733	藤箱	65536	34276	3	{n=0}
-167734	蓬蓬	129334	34028	1	null
-167735	阿曼苏	142493	219327	1	null
-167736	订婚	65536	35746	3	{v=0, vn=1}
-167737	表演赛	65536	205650	3	{n=2}
-167738	骨灰箱	65536	221502	3	{n=0}
-167739	毒枭	65536	27602	3	{n=0}
-167740	汉化	65536	27721	3	{v=0}
-167741	文凭	65536	25991	3	{n=3}
-167742	每种	65536	27599	3	{r=1}
-167743	鹪鹩	65536	40554	3	{n=0}
-167744	至好	65536	33267	3	{n=0}
-167745	鹬蚌	137290	40556	1	null
-167746	鹬蚌相	147642	167745	1	null
-167747	鹬蚌相争	65536	167746	3	{i=0}
-167748	钼钢	65536	38076	3	{n=0}
-167749	没关	96271	27809	1	null
-167750	鹭岛	65536	40557	3	{ns=1}
-167751	罢黜	65536	32610	3	{v=0}
-167752	点子	65536	28857	3	{n=10}
-167753	机台	65536	26426	3	{n=0}
-167754	锦绣江	137400	182253	1	null
-167755	霸州	139693	38712	1	null
-167756	革大	65536	38761	3	{j=1}
-167757	鹰潭市	65536	168456	3	{ns=0}
-167758	纵向	65536	32437	3	{n=1}
-167759	银白色	65536	221680	3	{n=1}
-167760	连接符	65536	212624	3	{n=0}
-167761	鹰爪毛	146963	169157	1	null
-167762	鹰爪毛儿	65536	167761	3	{l=0}
-167763	旧诗	65536	26087	3	{n=0}
-167764	蟾酥	65536	34814	3	{n=0}
-167765	鹰窠顶	65536	171323	3	{ns=0}
-167766	腹稿	65536	33145	3	{n=0}
-167767	非政治	139539	223950	1	null
-167768	瓦尔	105015	29926	1	null
-167769	衡量	65536	34913	3	{v=20, vn=1}
-167770	男排	65536	30007	3	{n=42}
-167771	鹳雀	140768	40563	1	null
-167772	鹳雀楼	65536	167771	3	{ns=0}
-167773	能屈	113960	33021	1	null
-167774	心浮	84177	24515	2	{a=0}
-167775	贫困率	65536	170251	3	{n=0}
-167776	腰子	65536	33136	3	{n=0}
-167777	鹿回头	65536	180517	3	{ns=0, nz=1}
-167778	鹿死谁	142621	185794	1	null
-167779	洗精	100246	27927	1	null
-167780	骚动	65536	39578	3	{v=8, vn=1}
-167781	鳞屑	65536	40158	3	{n=0}
-167782	诺萨	127839	35834	1	null
-167783	避开	65536	36991	3	{v=5}
-167784	鹿死谁手	65536	167778	3	{i=0}
-167785	装甲车	65536	206551	3	{n=1}
-167786	鹿泉市	65536	186128	3	{ns=0}
-167787	鹿溪河	65536	186609	3	{ns=0}
-167788	鹿特丹	65536	187584	3	{n=0, ns=1}
-167789	鹿角菜	65536	193561	3	{n=0}
-167790	遥相	137122	36965	1	null
-167791	骑兵	65536	39569	3	{n=1}
-167792	鹿蹄草	65536	194699	3	{n=0}
-167793	报答	65536	25253	3	{v=2, vn=0}
-167794	鹿邑县	65536	195288	3	{ns=1}
-167795	续集	65536	32493	3	{n=0}
-167796	麋鹿	65536	40587	3	{n=0}
-167797	麒麟	144136	40594	2	{n=1, ns=0}
-167798	焦灼	104196	28966	2	{a=1, an=0}
-167799	麝牛	65536	40605	3	{n=0}
-167800	高锰钢	65536	247307	3	{n=0}
-167801	麒麟山	65536	167797	3	{ns=0}
-167802	须德	136709	39035	1	null
-167803	麂子	65536	40578	3	{n=0}
-167804	天马	66041	22825	2	{nz=0}
-167805	麟凤龟	126955	167810	1	null
-167806	饱和度	65536	176542	3	{n=0}
-167807	旧调	83253	26087	1	null
-167808	褒词	65536	35090	3	{n=0}
-167809	育龄	65536	32946	3	{b=4}
-167810	麟凤	126942	40607	1	null
-167811	焦炉	65536	28966	3	{n=0}
-167812	麟凤龟龙	65536	167805	3	{i=0}
-167813	麟角凤	132522	182128	1	null
-167814	麟角凤觜	65536	167813	3	{i=0}
-167815	鹤发	136219	40548	1	null
-167816	麦乳精	65536	199493	3	{n=0}
-167817	麦克风	65536	200221	3	{n=2}
-167818	麦冬草	65536	200318	3	{n=1}
-167819	马达声	65536	241728	3	{n=0}
-167820	麦地那	65536	201730	3	{ns=1}
-167821	杂烩	65536	26434	3	{n=0}
-167822	麦尔尼克	65536	167825	3	{nz=0}
-167823	麦尔登呢	65536	174544	3	{n=0}
-167824	果敢	65536	26524	3	{a=2, ad=0, an=2}
-167825	麦尔尼	147011	202982	1	null
-167826	莫可	128189	33707	1	null
-167827	焦炙	65536	28966	3	{a=0}
-167828	天骄	65536	22825	3	{n=0, nr=0}
-167829	轴线	65536	36724	3	{n=0}
-167830	汉印	65536	27721	3	{n=1}
-167831	运动战	65536	182535	3	{n=3}
-167832	没准	65536	27809	3	{d=0, v=0}
-167833	平谷	87873	24179	2	{ns=0}
-167834	淡黄	65536	28129	3	{b=2}
-167835	麦当劳	65536	203813	3	{nz=7}
-167836	麦秆虫	65536	210584	3	{n=0}
-167837	麦粒肿	65536	211300	3	{n=0}
-167838	锦绣河	137401	182253	1	null
-167839	麦纳麦	65536	211845	3	{ns=3}
-167840	避弹	136471	36991	1	null
-167841	麦芽糖	65536	212879	3	{n=0}
-167842	工青	85321	24037	1	null
-167843	麦蚜虫	65536	213870	3	{n=0}
-167844	衰败	65536	34928	3	{v=1, vn=0}
-167845	童心	115136	31461	2	{n=3}
-167846	鹰洋	65536	40560	3	{n=0}
-167847	焦炭	65536	28966	3	{n=1}
-167848	薪金	65536	34218	3	{n=1}
-167849	松岗	85559	26494	2	{ns=0}
-167850	麦迪逊	146414	216252	2	{ns=1}
-167851	早车	65536	26089	3	{n=0}
-167852	难以忍	141690	211429	1	null
-167853	麦迪逊县	65536	167850	3	{ns=0}
-167854	麦金利	144065	216739	1	null
-167855	山门	65536	23665	3	{n=4}
-167856	莫名	128853	33707	2	{v=0}
-167857	麦金利峰	65536	167854	3	{ns=0}
-167858	麦门冬	65536	217786	3	{n=0}
-167859	焦点	65536	28966	3	{n=21}
-167860	驾临	65536	39550	3	{v=0}
-167861	马赛城	65536	241117	3	{ns=0}
-167862	麸子	65536	40632	3	{n=0}
-167863	难以忘	138581	211429	1	null
-167864	麻卵石	65536	210873	3	{n=1}
-167865	生产费	65536	188608	3	{n=0}
-167866	赎罪	65536	36174	3	{v=0}
-167867	山间	65536	23665	3	{s=4}
-167868	诈语	65536	35784	3	{n=0}
-167869	花生饼	65536	216745	3	{n=0}
-167870	麻城市	65536	211986	3	{ns=1}
-167871	这么着	65536	180954	3	{r=0}
-167872	衬衣	65536	34924	3	{n=2}
-167873	麻木不仁	65536	167875	3	{i=2}
-167874	街区	65536	34903	3	{n=5}
-167875	麻木不	147712	215916	1	null
-167876	生产资	109531	188608	1	null
-167877	麻栗坡	146439	216155	1	null
-167878	麻栗坡县	65536	167877	3	{ns=0}
-167879	果料	65536	26524	3	{n=0}
-167880	衬衫	65536	34924	3	{n=7}
-167881	麻烦事	65536	218410	3	{n=1}
-167882	麻痹大	143042	219709	1	null
-167883	蛋羹	65536	34507	3	{n=0}
-167884	没出	103581	27809	1	null
-167885	春梦	65536	26149	3	{n=1}
-167886	报箱	65536	25253	3	{n=6}
-167887	痛哭	108683	30171	2	{v=1}
-167888	打喷	92543	25171	1	null
-167889	麻痹大意	65536	167882	3	{i=0}
-167890	购并	65536	36141	3	{v=21, vn=10}
-167891	麻纺厂	65536	221950	3	{n=0}
-167892	麻织品	65536	221963	3	{n=0}
-167893	日喀	99420	26085	1	null
-167894	麻苏苏	65536	222995	3	{z=0}
-167895	麻袋片	65536	224463	3	{n=0}
-167896	麻豆腐	65536	225418	3	{n=0}
-167897	邮政编	128249	202135	1	null
-167898	麻辣烫	65536	226279	3	{n=0}
-167899	果断	65536	26524	3	{a=8, ad=9, an=0, d=1}
-167900	蹊跷	65536	36426	3	{a=0, an=0}
-167901	踩高	119617	36393	1	null
-167902	麻酥酥	65536	226729	3	{z=0}
-167903	辽大	65536	36797	3	{j=0}
-167904	母系	65536	27597	3	{b=0}
-167905	核反	100282	26680	1	null
-167906	麻雀战	65536	228100	3	{n=1}
-167907	长生果	65536	228560	3	{n=0}
-167908	标题	85469	26631	2	{n=5}
-167909	核发	65536	26680	3	{v=2}
-167910	麻风病	65536	228626	3	{n=0}
-167911	麻麻亮	65536	230143	3	{z=0}
-167912	天高	80722	22825	1	null
-167913	麾下	65536	40638	3	{n=1}
-167914	黄体酮	65536	225921	3	{n=0}
-167915	黄冈市	65536	226486	3	{ns=0}
-167916	黄刺玫	65536	226664	3	{n=0}
-167917	黄包车	65536	226867	3	{n=1}
-167918	自然力	65536	215142	3	{n=1}
-167919	收棉	65536	25910	3	{v=0}
-167920	闷声	141704	38391	1	null
-167921	黄口孺	144559	227089	1	null
-167922	胎衣	65536	32974	3	{n=0}
-167923	校官	65536	26657	3	{n=0}
-167924	鸣不	143336	40483	1	null
-167925	赴考	65536	36212	3	{v=0}
-167926	打嗝	65536	25171	3	{v=0}
-167927	集体性	65536	203930	3	{n=0}
-167928	甜言	100901	29980	1	null
-167929	革委	144152	38761	1	null
-167930	山阳	86531	23665	1	null
-167931	暗滩	65536	26263	3	{n=0}
-167932	点射	65536	28857	3	{v=0}
-167933	麻黄碱	65536	230152	3	{n=0}
-167934	点将	65536	28857	3	{v=1}
-167935	黄口孺子	65536	167921	3	{i=0}
-167936	黄嫩嫩	65536	228887	3	{z=0}
-167937	译制	124089	35793	2	{v=0}
-167938	黄土地	65536	227917	3	{n=6}
-167939	熟荒	110884	29087	2	{n=0}
-167940	黄岩市	65536	229335	3	{ns=0}
-167941	钵盂	65536	38069	3	{n=0}
-167942	大马	79236	22823	2	{n=3, nr=0}
-167943	盐环	114243	30416	1	null
-167944	旧貌	65536	26087	3	{n=0}
-167945	汉口	65536	27721	3	{ns=2}
-167946	蒙特雷	126270	189661	1	null
-167947	黄山市	65536	229279	3	{ns=0}
-167948	麻醉剂	65536	226765	3	{n=0}
-167949	违宪	65536	36829	3	{v=0}
-167950	黄州区	65536	229644	3	{ns=0}
-167951	萨摩	129970	33832	1	null
-167952	议事	126936	35758	2	{v=1, vn=1}
-167953	裤衩	65536	35044	3	{n=0}
-167954	狂热	109449	29378	2	{a=0, an=2}
-167955	黄巢起	147918	229648	1	null
-167956	邮政网	65536	202135	3	{n=1}
-167957	阎王	134261	38414	2	{n=0}
-167958	时有	99245	26102	1	null
-167959	黄巢起义	65536	167955	3	{l=0}
-167960	雪里送	134642	230926	1	null
-167961	黄巾起	147921	229676	1	null
-167962	黄巾起义	65536	167961	3	{l=0}
-167963	键槽	65536	38190	3	{n=0}
-167964	波谱	65536	27874	3	{n=0}
-167965	波谲	108804	27874	1	null
-167966	观赏鱼	65536	193758	3	{n=0}
-167967	职大	65536	32844	3	{j=0}
-167968	洪魔	65536	27946	3	{n=0}
-167969	雁过留	140463	181710	1	null
-167970	波谷	65536	27874	3	{n=0}
-167971	江城	65536	27743	3	{n=2, ns=1}
-167972	黄帝内经	65536	167977	3	{nz=2}
-167973	韧性	65536	38887	3	{n=0}
-167974	贫下	134639	36139	1	null
-167975	讽诵	65536	35773	3	{v=0}
-167976	黄明胶	65536	231740	3	{n=0}
-167977	黄帝内	135509	229707	1	null
-167978	黄曲霉	134241	231968	2	{n=0}
-167979	累进	111781	32047	2	{vn=0}
-167980	时期	65536	26102	3	{n=283, t=1}
-167981	黄曲霉菌	65536	167978	3	{n=0}
-167982	黄梁美梦	65536	173849	3	{l=0}
-167983	黄橙橙	65536	232839	3	{z=0}
-167984	山险	65536	23665	3	{n=0}
-167985	黄梁梦	65536	232367	3	{n=0}
-167986	开火	65536	24320	3	{v=0}
-167987	黄土坡	65536	227917	3	{n=0}
-167988	闷头	140890	38391	1	null
-167989	纪念林	65536	157968	3	{n=0}
-167990	衬裙	65536	34924	3	{n=0}
-167991	手电	82964	25163	2	{n=1}
-167992	骂名	65536	39554	3	{n=0}
-167993	黄梅县	65536	232371	3	{ns=0}
-167994	话不	128233	35805	1	null
-167995	铸模	65536	38136	3	{n=0}
-167996	山陵	65536	23665	3	{n=0}
-167997	鲁班尺	65536	181810	3	{n=0}
-167998	黄歇口	129784	233077	1	null
-167999	黄歇口镇	65536	167998	3	{ns=0}
-168000	黄毛丫	145167	233225	1	null
-168001	衬裤	65536	34924	3	{n=0}
-168002	大骨	66974	22823	1	null
-168003	黄毛丫头	65536	168000	3	{l=1, n=0}
-168004	穿着	65536	31359	3	{n=2, v=2}
-168005	早退	65536	26089	3	{v=0, vn=1}
-168006	放款	65536	25918	3	{v=0, vn=0}
-168007	时机	65536	26102	3	{n=28}
-168008	年饭	65536	24180	3	{n=15}
-168009	黄水疮	65536	233314	3	{n=0}
-168010	趋利避	132150	156919	1	null
-168011	青岛港	65536	220671	3	{ns=4}
-168012	窗明	120412	31383	1	null
-168013	打嘴	90654	25171	1	null
-168014	黄河路	65536	233441	3	{ns=0}
-168015	黄泥河镇	65536	171799	3	{ns=3}
-168016	开炉	65536	24320	3	{v=0}
-168017	跌破	65536	36300	3	{v=1}
-168018	黄洋界	65536	233529	3	{ns=0}
-168019	黄浦区	65536	233620	3	{ns=1}
-168020	校对	65536	26657	3	{n=1, v=0, vn=0}
-168021	黄浦江畔	65536	174456	3	{ns=2}
-168022	购建	65536	36141	3	{vn=1}
-168023	黄淮海	65536	233756	3	{j=0}
-168024	黄泥巴	65536	233491	3	{n=1}
-168025	鄂温	138340	37122	1	null
-168026	话中	127099	35805	1	null
-168027	黄澄澄	65536	234162	3	{z=0}
-168028	驶去	65536	39542	3	{v=2}
-168029	黄灿灿	65536	234413	3	{z=0}
-168030	焦煤	65536	28966	3	{n=0}
-168031	校射	65536	26657	3	{v=0}
-168032	触礁	65536	35302	3	{v=0}
-168033	此致	65536	27492	3	{v=0}
-168034	早逝	65536	26089	3	{v=1}
-168035	黄热病	65536	234523	3	{n=1}
-168036	校尉	90624	26657	1	null
-168037	黄牌警	146461	234874	1	null
-168038	文化	106044	25991	2	{n=888, vn=0}
-168039	黄牌警告	65536	168037	3	{l=1}
-168040	黄牛党	65536	234889	3	{n=0}
-168041	黄瓜秧	65536	235530	3	{n=0}
-168042	贫乏	65536	36139	3	{a=1, an=0}
-168043	街口	65536	34903	3	{n=1, s=1}
-168044	顾盼自	126176	189031	1	null
-168045	黄登登	65536	235945	3	{z=0}
-168046	裤裆	65536	35044	3	{n=0}
-168047	赔礼	118049	36180	2	{v=0}
-168048	鳏寡	143959	40143	1	null
-168049	黄皮书	65536	235996	3	{n=0}
-168050	时来	83901	26102	1	null
-168051	黄皮寡瘦	65536	171500	3	{l=0}
-168052	飞行器	65536	227781	3	{n=2}
-168053	开炮	65536	24320	3	{v=0}
-168054	酷烈	65536	37239	3	{a=0}
-168055	黄石市	65536	236321	3	{ns=3}
-168056	黄粱一	141273	237535	1	null
-168057	江堤	65536	27743	3	{n=3}
-168058	魂兮	142713	39746	1	null
-168059	残敌	65536	27531	3	{n=0}
-168060	议价	121108	35758	2	{n=0}
-168061	课后	65536	35838	3	{t=0}
-168062	风吹雨淋	65536	177645	3	{l=1}
-168063	黄粱一梦	65536	168056	3	{i=0}
-168064	暗潮	65536	26263	3	{n=0}
-168065	缺席	65536	32570	3	{v=2, vd=0, vn=0}
-168066	黄纸板	65536	238054	3	{n=0}
-168067	识见	65536	35782	3	{n=0}
-168068	没劲	65536	27809	3	{a=2}
-168069	小白	73241	23567	1	null
-168070	小百	70859	23567	1	null
-168071	山雀	65536	23665	3	{n=0}
-168072	支链	96378	25903	2	{n=0}
-168073	让给	65536	35753	3	{v=8}
-168074	黄绿色	65536	238125	3	{n=0}
-168075	黄色工会	65536	168078	3	{l=0}
-168076	木偶	101760	26408	2	{n=5}
-168077	熟菜	65536	29087	3	{n=0}
-168078	黄色工	147825	239008	1	null
-168079	黄色文学	65536	170032	3	{l=0}
-168080	黄色炸药	65536	172897	3	{l=0}
-168081	政资	65536	25919	3	{j=0}
-168082	黄花晚节	65536	170666	3	{i=0}
-168083	驮戥	139844	39534	2	{ns=0}
-168084	黄花闺女	65536	182858	3	{n=0}
-168085	街名	65536	34903	3	{n=0}
-168086	黄茸茸	65536	239206	3	{z=0}
-168087	总行	65536	24635	3	{n=14}
-168088	黄菠萝	65536	239374	3	{n=0}
-168089	黄萎病	65536	239420	3	{n=0}
-168090	长命百	137579	220206	1	null
-168091	酷热	65536	37239	3	{a=2, an=1}
-168092	黄葛树	65536	239497	3	{n=0}
-168093	请安	65536	35831	3	{v=0}
-168094	文华	95853	25991	2	{nz=0}
-168095	议会	131984	35758	2	{n=104}
-168096	黄蒿梁	65536	239597	3	{ns=0}
-168097	黄蜡蜡	65536	240207	3	{z=0}
-168098	旧账	65536	26087	3	{n=0}
-168099	旧货	65536	26087	3	{n=1}
-168100	干道	65536	24178	3	{b=1, n=4}
-168101	黄表纸	65536	240534	3	{n=0}
-168102	黄袍加	131581	240571	1	null
-168103	礼治	65536	31036	3	{n=5}
-168104	黄袍加身	65536	168102	3	{i=0}
-168105	敌营	65536	25932	3	{n=0}
-168106	文博	80226	25991	1	null
-168107	黄豆芽	65536	241524	3	{n=0}
-168108	黄褐斑	65536	240702	3	{n=0}
-168109	醉枣	65536	37257	3	{n=0}
-168110	黄连木	65536	242444	3	{n=0}
-168111	山雨	80396	23665	2	{n=0}
-168112	黄道吉	142030	242561	1	null
-168113	针织物	65536	183261	3	{n=0}
-168114	驶向	65536	39542	3	{v=1}
-168115	黄道吉日	65536	168112	3	{n=0}
-168116	饮水思	137318	174415	1	null
-168117	礼泉	118404	31036	1	null
-168118	请客	65536	35831	3	{v=11, vn=0}
-168119	隆庆	65536	38534	3	{t=0}
-168120	求异	65536	27714	3	{v=1}
-168121	黄金分割	65536	168566	3	{n=0}
-168122	黄金时代	65536	173670	3	{t=1}
-168123	驴打	137958	39540	1	null
-168124	黄金水道	65536	175268	3	{n=2}
-168125	黄钟大	146602	243661	1	null
-168126	骗取	65536	39575	3	{v=3}
-168127	黄钟大吕	65536	168125	3	{i=3}
-168128	手疾	84011	25163	1	null
-168129	礼法	65536	31036	3	{n=0}
-168130	颤巍	141002	39076	1	null
-168131	黄铁矿	65536	243695	3	{n=0}
-168132	耐穿	65536	32784	3	{a=0}
-168133	黄铜矿	65536	243722	3	{n=0}
-168134	黄锈病	65536	243766	3	{n=0}
-168135	文卷	65536	25991	3	{n=0}
-168136	酱瓜	65536	37233	3	{n=0}
-168137	黄陵县	65536	244131	3	{ns=0}
-168138	黄骅市	65536	245171	3	{ns=1}
-168139	看上	116950	30475	2	{v=5}
-168140	黄骠马	65536	245198	3	{n=0}
-168141	黄骨髓	65536	245206	3	{n=0}
-168142	看不	118414	30475	1	null
-168143	黄麻起	148103	246249	1	null
-168144	黄麻起义	65536	168143	3	{n=0}
-168145	心满	87003	24515	1	null
-168146	黄鼠狼	65536	246350	3	{n=0}
-168147	艺无	120883	33402	1	null
-168148	手痒	65536	25163	3	{v=0}
-168149	胶东	125581	33014	2	{ns=7, s=0}
-168150	自由党	65536	216161	3	{j=0, n=5}
-168151	黄龙洞	65536	246471	3	{ns=0}
-168152	小盐	65536	23567	3	{n=0}
-168153	平起	85138	24179	1	null
-168154	放毒	65536	25918	3	{v=0}
-168155	黍子	65536	40653	3	{n=0}
-168156	责任心	65536	159811	3	{n=8}
-168157	黎巴嫩	147309	169901	2	{ns=27}
-168158	黎巴嫩共	146516	168157	1	null
-168159	褒贬	132076	35090	2	{v=2}
-168160	黎巴嫩共和	145892	168158	1	null
-168161	黎巴嫩共和国	65536	168160	3	{ns=0}
-168162	蛇药	65536	34503	3	{n=0}
-168163	驳回	65536	39539	3	{v=3, vn=0}
-168164	黎平县	65536	170028	3	{ns=0}
-168165	黎明村	65536	171975	3	{ns=0}
-168166	黎民百	145173	173514	1	null
-168167	黄花岗	65536	239071	3	{ns=0}
-168168	黎民百姓	65536	168166	3	{n=0}
-168169	黏合剂	65536	172736	3	{n=0}
-168170	黏结性	65536	183691	3	{n=0}
-168171	黏胶纤	135673	184238	1	null
-168172	芳龄	65536	33459	3	{n=0}
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-168181	闪光	137150	38378	2	{n=10, v=0}
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-168185	黑不溜	137010	227323	1	null
-168186	能工	122945	33021	1	null
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-168189	黑不溜秋	65536	168185	3	{z=0}
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-168193	诬赖	65536	35820	3	{v=0}
-168194	黑亮亮	65536	227484	3	{z=0}
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-168198	蛇莓	65536	34503	3	{n=0}
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-168200	黑古隆	147293	228818	1	null
-168201	黑古隆冬	65536	168200	3	{z=0}
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-168204	总裁	65536	24635	3	{n=37}
-168205	杂物	65536	26434	3	{n=3}
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-168210	黑咕隆	147310	228995	1	null
-168211	小看	65536	23567	3	{v=3}
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-168218	黑咕隆冬	65536	168210	3	{z=0}
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-168224	黑啤酒	65536	229202	3	{n=0}
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-168228	自然发	117799	215142	1	null
-168229	黑土地	65536	229645	3	{n=3}
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-168233	瓦工	65536	29926	3	{n=0}
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-168238	黑山共和	145971	168239	1	null
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-168242	黑幢幢	65536	231504	3	{z=0}
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-168254	皇上	65536	30343	3	{n=0}
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-168260	时样	65536	26102	3	{n=0}
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-168263	文号	65536	25991	3	{n=1}
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-168265	打地	76574	25171	1	null
-168266	黑木耳	65536	233750	3	{n=0}
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-168268	条贯	65536	26465	3	{n=0}
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-168270	防患未	132985	220342	1	null
-168271	股票	120478	32929	2	{n=150}
-168272	黑松驿	148212	233836	1	null
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-168274	疏远	65536	30095	3	{v=11, vn=0}
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-168281	黑板刷	65536	233837	3	{n=0}
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-168287	骤增	65536	39588	3	{v=1, vn=1}
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-168290	踏实	65536	36367	3	{a=4, ad=0, an=0}
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-168292	江夏	106619	27743	1	null
-168293	手癣	65536	25163	3	{n=0}
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-168309	黑灯瞎火	65536	168308	3	{i=0}
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-168316	魏塘	128929	39759	1	null
-168317	贺仪	65536	36154	3	{n=0}
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-168319	黑热病	65536	236251	3	{n=0}
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-168335	日场	65536	26085	3	{n=0}
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-168490	砂轮	65536	30722	3	{n=0}
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-168493	松弛	65536	26494	3	{a=2}
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-168495	谐谑	65536	35856	3	{z=0}
-168496	黯然神伤	65536	176729	3	{l=0}
-168497	鼋鱼	65536	40715	3	{n=0}
-168498	鼎力相	147340	168572	1	null
-168499	明天	65536	26126	3	{t=98}
-168500	明太	89755	26126	1	null
-168501	鼎力相助	65536	168498	3	{i=0}
-168502	腰带	65536	33136	3	{n=4}
-168503	残月	65536	27531	3	{n=0}
-168504	责任感	65536	159811	3	{n=27}
-168505	辽宁	126563	36797	2	{ns=49}
-168506	鼎足之	147330	183700	1	null
-168507	黯淡	65536	40687	3	{a=0, an=1}
-168508	曲蟮	65536	26354	3	{n=0}
-168509	山顶	79930	23665	2	{n=10, s=0}
-168510	手眼	65536	25163	3	{n=0}
-168511	果树	65536	26524	3	{n=15, v=0}
-168512	速射	65536	36895	3	{v=0}
-168513	鼎足之势	65536	168506	3	{i=0}
-168514	鼎鼎大	147000	188143	1	null
-168515	放活	65536	25918	3	{v=2}
-168516	赔笑	65536	36180	3	{v=0}
-168517	鼎鼎大名	65536	168514	3	{i=0}
-168518	鼓乐喧天	65536	168535	3	{i=1}
-168519	生产过	114444	188608	1	null
-168520	开犁	65536	24320	3	{v=0}
-168521	放流	65536	25918	3	{v=0}
-168522	造谣生	138453	207816	1	null
-168523	算清	65536	31639	3	{v=0}
-168524	木制	101150	26408	2	{b=5}
-168525	窗栏	65536	31383	3	{n=0}
-168526	贼眼	65536	36156	3	{n=0}
-168527	没命	65536	27809	3	{d=0, v=0}
-168528	闷子	124981	38391	1	null
-168529	木刻	95151	26408	2	{n=1}
-168530	鼓倒掌	65536	199614	3	{l=0}
-168531	靶机	65536	38774	3	{n=0}
-168532	闪动	65536	38378	3	{v=1}
-168533	鼓动性	65536	200276	3	{n=0}
-168534	马拉开	138205	230219	1	null
-168535	鼓乐喧	145693	199164	1	null
-168536	赞歌	65536	36190	3	{n=8}
-168537	鼓励奖	65536	200285	3	{n=1}
-168538	颂扬	65536	39042	3	{v=4, vn=1}
-168539	心火	65536	24515	3	{n=0, v=0}
-168540	鼓吹者	65536	200677	3	{n=0}
-168541	鼓囊囊	65536	201334	3	{z=0}
-168542	鼓子词	65536	202492	3	{n=0}
-168543	鼓楼区	65536	206120	3	{ns=0}
-168544	心灰	87019	24515	1	null
-168545	鼓浪屿	65536	207126	3	{ns=1}
-168546	领导层	65536	211904	3	{n=0}
-168547	黄龙溪	65536	246471	3	{ns=0}
-168548	收款	96274	25910	2	{v=1, vn=0}
-168549	心灵	86705	24515	2	{n=32}
-168550	果核	65536	26524	3	{n=0}
-168551	山颠	65536	23665	3	{s=0}
-168552	端量	65536	31471	3	{v=0}
-168553	透视缩	133842	194464	1	null
-168554	秦陵	65536	31206	3	{n=1, ns=0}
-168555	迂缓	65536	36802	3	{a=0}
-168556	鼓膜炎	65536	212296	3	{n=0}
-168557	鼓足干	147391	215391	1	null
-168558	韩庄	65536	38889	3	{ns=0}
-168559	残杀	65536	27531	3	{v=0, vn=0}
-168560	误点	65536	35823	3	{v=0, vn=0}
-168561	鼓足干劲	65536	168557	3	{i=1}
-168562	放浪	93597	25918	2	{a=0, v=1}
-168563	春歌	65536	26149	3	{n=0}
-168564	贺信	65536	36154	3	{n=24}
-168565	鼓鼓囊	146349	219839	1	null
-168566	黄金分	147015	242943	1	null
-168567	鼓鼓囊囊	65536	168565	3	{z=0}
-168568	鼠曲草	65536	179198	3	{n=0}
-168569	鼠标器	65536	179475	3	{n=0}
-168570	窗格	118001	31383	1	null
-168571	求情	65536	27714	3	{v=1}
-168572	鼎力	138042	40718	1	null
-168573	鼓风机	65536	218234	3	{n=0}
-168574	登载	65536	30331	3	{v=4}
-168575	衰退	65536	34928	3	{v=13, vn=4}
-168576	职守	65536	32844	3	{n=3, v=0}
-168577	皇位	65536	30343	3	{n=0}
-168578	胃腺	65536	32963	3	{n=0}
-168579	荷载	65536	33655	3	{n=0}
-168580	窗框	65536	31383	3	{n=3}
-168581	钢丝绳	65536	206319	3	{n=0}
-168582	陪审	141858	38506	2	{vn=0}
-168583	陪客	65536	38506	3	{v=0, vn=0}
-168584	鼠目寸	147776	183290	1	null
-168585	鼠目寸光	65536	168584	3	{i=0}
-168586	艺林	65536	33402	3	{n=0}
-168587	麻醉品	65536	226765	3	{n=0}
-168588	赌债	65536	36172	3	{n=0}
-168589	纵坐	116808	32437	1	null
-168590	鼠窃狗	148004	184207	1	null
-168591	甘心	110651	29976	2	{v=1}
-168592	职官	65536	32844	3	{n=0}
-168593	遣词	128749	36963	1	null
-168594	自由化	65536	216161	3	{v=4, vn=7}
-168595	机场	86907	26426	2	{n=85, ns=0}
-168596	边防线	65536	210301	3	{n=4}
-168597	山风	65536	23665	3	{n=0}
-168598	能征	122177	33021	1	null
-168599	瓦当	65536	29926	3	{n=0}
-168600	规律	127908	35268	2	{n=105}
-168601	防疫针	65536	225726	3	{n=0}
-168602	蓄须	65536	33988	3	{v=0}
-168603	鼠窃狗偷	65536	168590	3	{i=0}
-168604	纪要	65536	32426	3	{n=2}
-168605	鼠肚鸡	135679	185766	1	null
-168606	黔东	147086	40660	1	null
-168607	鼠肚鸡肠	65536	168605	3	{l=0}
-168608	霄汉	65536	38660	3	{n=0}
-168609	鼢鼠	65536	40738	3	{n=0}
-168610	知更	98398	30693	1	null
-168611	鼬獾	65536	40748	3	{n=0}
-168612	林网	65536	26519	3	{n=0}
-168613	鼬鼠皮	65536	179781	3	{n=0}
-168614	鼯鼠	65536	40751	3	{n=0}
-168615	项数	65536	39033	3	{n=0}
-168616	鼷鼠	65536	40759	3	{n=0}
-168617	鼹鼠	65536	40761	3	{n=0}
-168618	鼻化元	129720	193181	1	null
-168619	鼻化元音	65536	168618	3	{l=0}
-168620	鼻咽癌	65536	193604	3	{n=0}
-168621	鼻洼子	65536	199875	3	{n=0}
-168622	鼻烟壶	65536	200806	3	{n=0}
-168623	鼻窦炎	65536	203309	3	{n=1}
-168624	来文	65536	26469	3	{n=0}
-168625	鼻粘膜	65536	203807	3	{n=0}
-168626	推行	65536	25512	3	{v=85, vn=5}
-168627	鼻青脸	135669	210649	1	null
-168628	鼻青脸肿	65536	168627	3	{l=0}
-168629	铝制	139000	38109	1	null
-168630	驼子	65536	39548	3	{n=0}
-168631	豆腐花	65536	191174	3	{n=0}
-168632	柳行	86081	26611	1	null
-168633	收殓	65536	25910	3	{v=0}
-168634	记者证	65536	200870	3	{n=1}
-168635	鼻韵母	65536	210812	3	{n=0}
-168636	鼾声	65536	40766	3	{n=0}
-168637	齐东野	132817	185103	1	null
-168638	齐东野语	65536	168637	3	{i=0}
-168639	监考	65536	30417	3	{n=0, v=1, vn=0}
-168640	齐刷刷	65536	186154	3	{z=3}
-168641	齐头并	131816	187943	1	null
-168642	来料	102497	26469	1	null
-168643	齐头并进	65536	168641	3	{i=5}
-168644	当间	90164	24403	1	null
-168645	齐家治	146377	188585	1	null
-168646	齐家治国	144468	168645	1	null
-168647	齐家治国平	145826	168646	1	null
-168648	平车	65536	24179	3	{n=0}
-168649	祸首	65536	31096	3	{n=1}
-168650	提花	65536	25552	3	{b=0}
-168651	齐家治国平天	148681	168647	1	null
-168652	赏罚	134976	36175	2	{n=0}
-168653	绞索	65536	32478	3	{n=1}
-168654	训练课	65536	165407	3	{n=0}
-168655	鹞式	65536	40542	3	{b=1}
-168656	比如	90884	27604	2	{c=0, ns=0, p=0, v=63}
-168657	锡朱	136516	38177	1	null
-168658	迷魂阵	65536	205430	3	{n=0}
-168659	男朋	114709	30007	1	null
-168660	齐家治国平天下	65536	168651	3	{i=1, n=0}
-168661	报纸	92720	25253	2	{n=102}
-168662	心烦	87024	24515	2	{v=1}
-168663	紧紧	118477	32039	2	{ad=0, d=57, v=0, z=0}
-168664	洗耳	104598	27927	1	null
-168665	齐山区	65536	188772	3	{ns=0}
-168666	齐岳山	65536	188838	3	{ns=0}
-168667	齐崭崭	65536	188960	3	{z=0}
-168668	齐心协力	65536	168669	3	{i=11}
-168669	齐心协	147521	189622	1	null
-168670	齐心合力	65536	168854	3	{i=0}
-168671	略阳	65536	30053	3	{ns=0}
-168672	赞比	134912	36190	1	null
-168673	校庆	65536	26657	3	{n=0}
-168674	辛店镇	65536	188504	3	{ns=1}
-168675	着落	65536	30528	3	{n=3, v=1, vn=0}
-168676	机型	65536	26426	3	{n=6}
-168677	齐戳戳	65536	190246	3	{z=0}
-168678	母老	92231	27597	1	null
-168679	螺丝钉	65536	152891	3	{n=0}
-168680	高尔夫	136963	232687	2	{n=1}
-168681	连接线	65536	212624	3	{n=0}
-168682	平辈	65536	24179	3	{n=0}
-168683	鹅卵	136928	40517	1	null
-168684	报经	65536	25253	3	{v=1}
-168685	风雨如	139105	243482	1	null
-168686	齐抓共	137039	190342	1	null
-168687	裁判长	65536	156030	3	{n=0}
-168688	齐抓共管	65536	168686	3	{l=7}
-168689	齐步走	65536	192600	3	{l=0, v=0, vn=0}
-168690	齐白石	65536	195440	3	{nr=3}
-168691	日增	65536	26085	3	{v=1}
-168692	齐齐哈	145121	205891	1	null
-168693	齐齐哈尔	144629	168692	2	{ns=4}
-168694	锡杖	65536	38177	3	{n=0}
-168695	齐齐哈尔市	65536	168693	3	{ns=0}
-168696	驳壳	139787	39539	1	null
-168697	鬼哭神	144910	207530	1	null
-168698	齿唇音	65536	175932	3	{n=0}
-168699	讹诈	65536	35769	3	{v=0, vn=0}
-168700	齿轮油	65536	190883	3	{n=0}
-168701	松快	65536	26494	3	{a=0}
-168702	齿鸟类	65536	194644	3	{n=0}
-168703	营业	130234	33829	2	{v=6, vn=32}
-168704	窗棂	65536	31383	3	{n=0}
-168705	长春站	65536	224726	3	{ns=0}
-168706	贫僧	65536	36139	3	{n=0}
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-168708	齿龈炎	65536	195005	3	{n=0}
-168709	阿拉木	140205	218252	1	null
-168710	烧塌	65536	28903	3	{v=0}
-168711	龃龉	65536	40835	3	{n=2}
-168712	蒸食	65536	33976	3	{n=0}
-168713	毒死	65536	27602	3	{v=0}
-168714	月牙	97653	26376	2	{n=0}
-168715	龅牙	65536	40837	3	{n=0}
-168716	龇牙	147046	40839	1	null
-168717	龇牙咧	146651	168716	1	null
-168718	来日	97616	26469	2	{t=0}
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-168720	木勺	65536	26408	3	{n=3}
-168721	税契	65536	31246	3	{n=0}
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-168726	心焦	65536	24515	3	{a=0}
-168727	解放碑	65536	204500	3	{ns=0}
-168728	龌龊	65536	40844	3	{a=0}
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-168730	胃舒	122429	32963	1	null
-168731	看做	65536	30475	3	{v=17}
-168732	龙争虎	142730	220728	1	null
-168733	蓬莱阁	65536	167419	3	{ns=0}
-168734	训诂	65536	35757	3	{n=0}
-168735	来时	65536	26469	3	{t=1}
-168736	粮油	65536	31918	3	{j=10, n=2}
-168737	龙争虎斗	65536	168732	3	{i=0}
-168738	讹误	65536	35769	3	{n=0}
-168739	辱骂	65536	36785	3	{v=0, vn=1}
-168740	骁将	65536	39553	3	{n=0}
-168741	龙井茶	65536	220740	3	{n=0}
-168742	贮运	65536	36142	3	{vn=0}
-168743	断顿	65536	26029	3	{v=0}
-168744	龙凤呈祥	65536	169017	3	{i=2, l=0, nz=0}
-168745	训词	65536	35757	3	{n=0}
-168746	请帖	65536	35831	3	{n=0}
-168747	龙凤区	65536	221587	3	{ns=1}
-168748	木化	92146	26408	1	null
-168749	金丝绒	65536	217055	3	{n=0}
-168750	靛青	65536	38747	3	{b=0}
-168751	环绕	97917	29615	2	{v=8, vn=1}
-168752	龙南县	65536	221958	3	{ns=0}
-168753	龙卷风	65536	221990	3	{n=0}
-168754	龙口夺	129621	222098	1	null
-168755	教皇	65536	25945	3	{n=0}
-168756	龙口夺食	65536	168754	3	{l=0}
-168757	龙吟虎	146884	222158	1	null
-168758	木匠	65536	26408	3	{n=0}
-168759	锡林	133016	38177	1	null
-168760	议决	65536	35758	3	{v=0}
-168761	训话	65536	35757	3	{v=1}
-168762	饶恕	65536	39286	3	{v=0}
-168763	都灵	65536	37117	3	{ns=0}
-168764	龙吟虎啸	65536	168757	3	{i=0}
-168765	跃然	123262	36291	2	{v=1}
-168766	龙吴港	65536	222179	3	{ns=3}
-168767	胎记	65536	32974	3	{n=0}
-168768	龙塘坝	148704	223239	1	null
-168769	龙塘坝乡	65536	168768	3	{ns=0}
-168770	打天	94739	25171	1	null
-168771	龙头乡	65536	223459	3	{ns=0}
-168772	小礼	81690	23567	1	null
-168773	洗肠	65536	27927	3	{v=0}
-168774	调查表	65536	215564	3	{n=0}
-168775	训诫	65536	35757	3	{v=0, vn=1}
-168776	打夯	88296	25171	2	{vn=0}
-168777	评论部	65536	210336	3	{n=2}
-168778	龙宫洞	65536	224090	3	{ns=0}
-168779	返乡	65536	36820	3	{v=2, vn=2}
-168780	龙山县	65536	224288	3	{ns=0}
-168781	打头	85879	25171	2	{v=2}
-168782	龙岗区	65536	224326	3	{ns=0}
-168783	龙岩坡	65536	224344	3	{ns=2}
-168784	龙川县	65536	224652	3	{ns=0}
-168785	龙庆峡	65536	224821	3	{ns=2}
-168786	谋士	65536	35851	3	{n=2}
-168787	龙母镇	65536	228220	3	{ns=0}
-168788	河晏	100692	27827	1	null
-168789	天鹅	72992	22825	2	{n=1, nz=0}
-168790	龙泉窑	65536	228472	3	{ns=0}
-168791	心照	91893	24515	1	null
-168792	衔铁	65536	34900	3	{n=0}
-168793	鹅口	137512	40517	1	null
-168794	费工	131989	36153	2	{a=0}
-168795	春水	65536	26149	3	{n=1}
-168796	解困金	65536	200838	3	{n=1}
-168797	逗弄	65536	36887	3	{v=0}
-168798	龙泉驿区	65536	176964	3	{ns=0}
-168799	讹谬	65536	35769	3	{n=0}
-168800	龙海市	65536	228646	3	{ns=1}
-168801	龙潭湖	65536	229148	3	{ns=1}
-168802	日复	100473	26085	1	null
-168803	鸡犬升	144630	222591	1	null
-168804	鉴湖	65536	37492	3	{ns=0}
-168805	诱发	65536	35825	3	{v=2, vn=1}
-168806	满不	109177	28385	1	null
-168807	政通	97943	25919	1	null
-168808	洗胃	65536	27927	3	{v=0}
-168809	轻重缓	132164	219869	1	null
-168810	龙潭虎穴	65536	174937	3	{i=0}
-168811	龙爪槐	65536	229849	3	{n=0}
-168812	诱变	65536	35825	3	{v=1, vn=1}
-168813	龙牙草	65536	229896	3	{n=0}
-168814	逗引	65536	36887	3	{v=0}
-168815	歌艺	65536	27468	3	{n=0}
-168816	开玩	78716	24320	1	null
-168817	日夜	99583	26085	2	{d=8, n=6}
-168818	龙王庙	65536	230202	3	{n=0}
-168819	霉斑	65536	38665	3	{n=0}
-168820	薄一	122792	34180	1	null
-168821	旧迹	65536	26087	3	{n=0}
-168822	教益	65536	25945	3	{n=2}
-168823	轧花	129987	36711	2	{v=1}
-168824	龙生九	145449	230606	1	null
-168825	龙生九子	65536	168824	3	{i=0}
-168826	龙盘虎	132448	231047	1	null
-168827	鞭毛	130156	38829	2	{n=0}
-168828	靶档	65536	38774	3	{n=0}
-168829	黑山县	65536	231007	3	{ns=0}
-168830	龙盘虎踞	65536	168826	3	{i=0}
-168831	龙章凤	144411	232079	1	null
-168832	天鹰	76712	22825	2	{nz=0}
-168833	木卫	102748	26408	1	null
-168834	春汛	65536	26149	3	{n=0}
-168835	沉实	65536	27785	3	{a=0}
-168836	龙章凤彩	65536	168831	3	{i=0}
-168837	见风转	119134	218523	1	null
-168838	春江	87709	26149	1	null
-168839	锐气	65536	38160	3	{n=1}
-168840	朝语	65536	26397	3	{nz=2}
-168841	日头	65536	26085	3	{n=0}
-168842	龙竹坪	65536	232104	3	{ns=0}
-168843	鸣冤	146033	40483	2	{v=0}
-168844	阁楼	65536	38401	3	{n=4}
-168845	树碑	92985	26641	1	null
-168846	龙羊峡	65536	233273	3	{ns=0}
-168847	龙翔凤	136110	233347	1	null
-168848	社里	65536	31038	3	{n=0}
-168849	统治	122857	32479	2	{v=7, vn=4}
-168850	鸡犬不惊	65536	167465	3	{i=0}
-168851	龙翔凤翥	65536	168847	3	{i=0}
-168852	当雄	65536	24403	3	{ns=1}
-168853	颤悠	140280	39076	2	{v=0}
-168854	齐心合	147523	189622	1	null
-168855	龙肝凤	129222	233548	1	null
-168856	核垄	98468	26680	1	null
-168857	龙肝凤髓	65536	168855	3	{i=0}
-168858	龙胆科	65536	233589	3	{n=0}
-168859	购房	65536	36141	3	{n=0, v=7, vn=12}
-168860	明媒	93328	26126	1	null
-168861	龙腾虎	132571	233773	1	null
-168862	龙腾虎跃	65536	168861	3	{i=8}
-168863	龙虎榜	65536	235005	3	{n=0}
-168864	龙蛇混	142436	235126	1	null
-168865	横七	94042	27178	1	null
-168866	毒气	102256	27602	2	{n=1}
-168867	蒸饺	65536	33976	3	{n=0}
-168868	明媚	65536	26126	3	{a=4}
-168869	蒸饼	65536	33976	3	{n=0}
-168870	龙蛇混杂	65536	168864	3	{i=0}
-168871	沉寂	65536	27785	3	{v=1, z=3}
-168872	阿尔巴	138717	216535	1	null
-168873	龙蟠虎	132493	235407	1	null
-168874	肠虫	65536	32928	3	{n=0}
-168875	龙蟠虎踞	65536	168873	3	{i=0}
-168876	龙钟之	144699	238670	1	null
-168877	誓词	65536	35475	3	{n=2}
-168878	许许	130341	35768	1	null
-168879	龙钟之年	65536	168876	3	{l=0}
-168880	蚕蔟	65536	34453	3	{n=0}
-168881	江孜	65536	27743	3	{ns=0}
-168882	龙钟老者	65536	181602	3	{l=0}
-168883	龙飞凤	135576	239757	1	null
-168884	开班	65536	24320	3	{v=0}
-168885	木原	65536	26408	3	{nr=0}
-168886	龙飞凤舞	65536	168883	3	{i=1}
-168887	贫农	65536	36139	3	{n=0}
-168888	蒸馏	128301	33976	2	{v=0}
-168889	青冈林	65536	217836	3	{n=0}
-168890	龙驹凤	130285	240168	1	null
-168891	点心	65536	28857	3	{n=0}
-168892	龙驹凤雏	65536	168890	3	{i=0}
-168893	衡阳	127558	34913	2	{ns=8}
-168894	龙骧虎	141402	240214	1	null
-168895	龙骧虎步	65536	168894	3	{i=0}
-168896	龙骨坡	65536	240215	3	{ns=1}
-168897	龙须沟	65536	239658	3	{ns=0}
-168898	大鸨	65536	22823	3	{n=0}
-168899	龙骨水车	65536	174227	3	{n=0}
-168900	龛影	65536	40859	3	{n=0}
-168901	繁琐	65536	32321	3	{a=2, an=1}
-168902	龟鹤延年	65536	168906	3	{i=0}
-168903	平遥	87880	24179	2	{ns=9}
-168904	赘述	65536	36184	3	{v=1}
-168905	赌具	65536	36172	3	{n=0}
-168906	龟鹤延	144722	186662	1	null
-168907	天麻	65536	22825	3	{n=7}
-168908	杂用	101649	26434	2	{n=0}
-168909	龟鹤遐龄	65536	181540	3	{i=0}
-168911	毒汁	65536	27602	3	{n=0}
-168912	阖眼	65536	38422	3	{v=0}
-168913	融通	65536	34701	3	{v=0, vn=1}
-168914	街坊	65536	34903	3	{n=0}
-168915	小秋	81089	23567	1	null
-168917	龙须河	65536	239658	3	{ns=0}
-168919	银行法	65536	226239	3	{n=2}
-168922	触类	126638	35302	1	null
-168924	皇储	65536	30343	3	{n=0}
-168925	洗脸	98882	27927	1	null
-168926	江安	65536	27743	3	{ns=0}
-168927	收油	65536	25910	3	{v=1}
-168929	收治	65536	25910	3	{v=0}
-168930	萨格	128908	33832	1	null
-168932	羞辱	65536	32670	3	{an=1, v=1, vn=0}
-168934	痛处	65536	30171	3	{n=0}
-168935	知根	108185	30693	1	null
-168937	识货	65536	35782	3	{v=0}
-168940	总计	65536	24635	3	{v=12, vn=0}
-168942	木变	92151	26408	1	null
-168944	许诺	65536	35768	3	{n=0, v=8, vn=0}
-168945	烧夷	108400	28903	1	null
-168946	裂谷	65536	35010	3	{n=1, ns=1}
-168947	平邑	87882	24179	1	null
-168948	汉城	103749	27721	2	{ns=27}
-168950	龟头	65536	40863	3	{n=0}
-168951	河曲	106957	27827	2	{ns=0}
-168955	食不甘	143888	208390	1	null
-168956	饱经沧	138989	187361	1	null
-168958	限于	65536	38480	3	{v=15}
-168959	青春片	65536	223113	3	{n=1}
-168960	贤能	65536	36132	3	{n=0}
-168961	铝厂	65536	38109	3	{n=2}
-168962	林肯	65536	26519	3	{nr=0, nz=0}
-168963	贺兰	131153	36154	2	{nr=0, ns=0}
-168965	总论	65536	24635	3	{n=1}
-168966	魂牵梦萦	65536	167123	3	{l=1}
-168968	黑咕隆咚	65536	168210	3	{z=0}
-168971	甘愿	65536	29976	3	{v=4}
-168972	木叶	88183	26408	2	{n=0}
-168974	核基	102178	26680	1	null
-168975	总评	65536	24635	3	{n=1}
-168978	缺憾	65536	32570	3	{n=2}
-168979	痛失	65536	30171	3	{v=0}
-168981	行政部	113177	212167	1	null
-168983	限产	141419	38480	1	null
-168984	校徽	65536	26657	3	{n=0}
-168985	大鹿	76680	22823	1	null
-168986	街垒	126486	34903	2	{n=0}
-168992	报考	82793	25253	2	{v=7, vn=1}
-168993	心爱	65536	24515	3	{b=3}
-168994	设想	65536	35774	3	{b=1, v=5, vn=14}
-168998	违心	137582	36829	2	{v=0, vd=0}
-169001	横事	65536	27178	3	{n=0}
-169004	终究	65536	32456	3	{d=6}
-169009	曲解	65536	26354	3	{v=1, vn=0}
-169010	当面	65536	24403	3	{d=2, n=0}
-169011	横井	65536	27178	3	{nr=0}
-169012	牧马	65536	29287	3	{n=0, v=0}
-169013	雹灾	65536	38649	3	{n=0}
-169014	横亘	65536	27178	3	{v=1}
-169015	踏平	65536	36367	3	{v=0}
-169016	谦让	65536	35878	3	{v=2, vn=1}
-169017	龙凤呈	137667	221587	1	null
-169024	大麦	65536	22823	3	{n=0}
-169025	荐骨	65536	33616	3	{n=0}
-169029	铭牌	65536	38125	3	{n=1}
-169031	汉堡	106564	27721	2	{ns=2}
-169033	缩略	108795	32553	1	null
-169036	机壳	65536	26426	3	{n=0}
-169037	谈不	134029	35848	1	null
-169038	纳谏	65536	32435	3	{v=0}
-169039	生产量	65536	188608	3	{n=0}
-169041	高度层	65536	233345	3	{n=1}
-169042	青年报	65536	221144	3	{n=5}
-169044	限令	65536	38480	3	{v=0}
-169045	大麻	78698	22823	2	{n=1}
-169046	驼峰	65536	39548	3	{n=0}
-169047	盐矿	65536	30416	3	{n=0}
-169048	话别	65536	35805	3	{v=1}
-169049	接见	65536	25509	3	{v=20, vn=5}
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-169051	顿开	131240	39039	1	null
-169052	木呆	101292	26408	1	null
-169054	大黄	76726	22823	1	null
-169056	月环	82932	26376	1	null
-169060	旧部	65536	26087	3	{n=0}
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-169063	限价	65536	38480	3	{v=1, vd=1, vn=3}
-169064	辉石	65536	36745	3	{n=0}
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-169067	大黑	72681	22823	1	null
-169068	麻黄素	65536	230152	3	{n=0}
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-169081	旧都	65536	26087	3	{n=0}
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-169086	接触	86493	25509	2	{v=27, vn=17}
-169089	顽固	144782	39037	2	{a=6, ad=4, an=0}
-169090	防弹衣	65536	219980	3	{n=0}
-169093	指靠	65536	25351	3	{v=0}
-169095	铝合	123370	38109	1	null
-169096	蛇蜕	65536	34503	3	{n=0}
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-169098	文场	65536	25991	3	{n=0}
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-169101	机头	65536	26426	3	{n=9}
-169102	来来	99211	26469	1	null
-169104	贺函	65536	36154	3	{n=0}
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-169113	顾不得	65536	178552	3	{v=4}
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-169115	欢颜	65536	27426	3	{n=0}
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-169117	祖茔	65536	31062	3	{n=1}
-169119	山高	80167	23665	1	null
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-169127	紧绷	110329	32039	1	null
-169128	迂腐	65536	36802	3	{a=0}
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-169130	赏脸	65536	36175	3	{v=0}
-169131	文坛	65536	25991	3	{n=8}
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-169140	月球	101885	26376	2	{n=83}
-169141	谦谦	132608	35878	1	null
-169142	负债表	65536	177006	3	{n=0}
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-169161	树种	65536	26641	3	{n=3}
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-169164	肺部	65536	32954	3	{n=0}
-169166	话务	132055	35805	1	null
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-169169	韧皮部	65536	173740	3	{n=0}
-169170	航标	119442	33322	2	{n=0}
-169171	荷重	65536	33655	3	{n=0}
-169172	皇冠	65536	30343	3	{n=2, nz=1}
-169176	返修	65536	36820	3	{v=0}
-169177	紧缩	118218	32039	2	{v=7, vn=14}
-169178	松懈	65536	26494	3	{a=7, an=2, v=2, vn=0}
-169180	王族	65536	29579	3	{n=1}
-169181	职工	113131	32844	2	{n=893}
-169182	飘飘然	65536	215970	3	{z=0}
-169183	装饰音	65536	215829	3	{n=0}
-169184	闲言闲	125835	213747	1	null
-169185	小站	75709	23567	2	{n=0}
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-169190	让茶	65536	35753	3	{v=0}
-169193	明察	94563	26126	1	null
-169194	紧缺	65536	32039	3	{a=5}
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-169197	评估费	65536	194838	3	{n=2}
-169200	象素	65536	35937	3	{n=0}
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-169203	谣言	129340	35875	2	{n=0}
-169205	龙门刨	65536	238999	3	{n=0}
-169207	粮源	65536	31918	3	{n=1}
-169208	河柳	65536	27827	3	{n=0}
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-169231	山魈	65536	23665	3	{n=0}
-169232	锅炉	135767	38149	2	{n=2}
-169233	谬见	65536	35884	3	{n=0}
-169234	蚕蚁	65536	34453	3	{n=0}
-169235	糖人	65536	31958	3	{n=0}
-169236	黄土层	65536	227917	3	{n=1}
-169237	母舰	65536	27597	3	{n=0}
-169239	排遣	65536	25490	3	{v=0}
-169241	谈仙	130286	35848	1	null
-169244	渔翁	106438	28180	2	{n=0}
-169246	大龄	65632	22823	2	{b=0}
-169247	谱表	65536	35889	3	{n=0}
-169248	豪举	65536	35946	3	{n=0}
-169249	时气	65536	26102	3	{n=0}
-169252	甘托	114618	29976	1	null
-169253	莫如	65536	33707	3	{v=2}
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-169264	闭会	65536	38381	3	{v=0, vn=0}
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-169267	平金	65536	24179	3	{n=0}
-169270	颓废	65536	39059	3	{a=1}
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-169275	述职	65536	36848	3	{v=3, vn=0}
-169278	诺言	65536	35834	3	{n=5}
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-169280	毒液	65536	27602	3	{n=0}
-169281	手稿	65536	25163	3	{n=0}
-169286	明尼	87348	26126	1	null
-169287	鹰犬	65536	40560	3	{n=0}
-169289	查当	104169	26597	1	null
-169290	锦衣玉	121934	184685	1	null
-169292	瓦戈	111152	29926	1	null
-169293	旧金	96916	26087	1	null
-169295	项目数	65536	173093	3	{n=0}
-169296	话匣	130105	35805	1	null
-169297	非公有	143010	218875	2	{b=1}
-169299	醉汉	65536	37257	3	{n=0}
-169300	褐黄	126045	35088	1	null
-169303	营业额	65536	168703	3	{n=7}
-169304	税官	65536	31246	3	{n=0}
-169306	赊账	65536	36170	3	{v=0}
-169307	谎言	65536	35854	3	{n=1}
-169309	松手	65536	26494	3	{v=1}
-169311	春游	65536	26149	3	{v=0, vn=0}
-169312	能手	65536	33021	3	{n=10}
-169313	赊购	65536	36170	3	{v=0, vn=0}
-169314	比尔	65536	27604	3	{n=0}
-169317	来格	103482	26469	1	null
-169318	锅烟	137545	38149	1	null
-169319	购买证	65536	163788	3	{n=0}
-169320	风雪帽	65536	243484	3	{n=0}
-169321	议古	117263	35758	1	null
-169322	总负	76702	24635	1	null
-169323	阿尔德	142212	216535	1	null
-169325	打孔	88297	25171	2	{v=0}
-169326	总责	65536	24635	3	{n=2}
-169327	西西里	128577	223799	2	{ns=1}
-169328	打字	93143	25171	2	{v=0, vn=1}
-169329	总账	65536	24635	3	{n=0}
-169330	贤良	65536	36132	3	{n=0}
-169331	放火	65536	25918	3	{v=2, vn=0}
-169332	蜀锦	65536	34560	3	{n=0}
-169333	松扣	65536	26494	3	{v=2}
-169335	闹意见	65536	205101	3	{v=0}
-169342	纳贿	65536	32435	3	{v=0}
-169344	采购站	65536	211211	3	{n=0}
-169345	赞助费	65536	162229	3	{n=1}
-169347	瓦房	111137	29926	2	{n=2}
-169349	课外	65536	35838	3	{b=0, t=2}
-169350	足球	133373	36275	2	{n=59}
-169351	票面	119625	31080	2	{n=5}
-169354	蚕蛹	123184	34453	2	{n=0}
-169355	颤抖	139783	39076	2	{v=2}
-169356	致病	114323	33268	2	{v=0, vn=2}
-169357	访贫	114817	35775	1	null
-169359	蚕蛾	65536	34453	3	{n=0}
-169360	黯然	145659	40687	2	{z=3}
-169361	速录	132080	36895	1	null
-169365	谈何	130532	35848	1	null
-169366	蜂窝	122130	34562	2	{n=1}
-169369	蜂窠	65536	34562	3	{n=0}
-169371	计划经	124920	170367	1	null
-169374	汉奸	65536	27721	3	{n=1}
-169375	小算	76578	23567	1	null
-169376	鼓乐声	65536	199164	3	{n=1}
-169377	霜期	65536	38684	3	{t=0}
-169378	肠衣	65536	32928	3	{n=0}
-169379	腹肌	65536	33145	3	{n=0}
-169381	日子	65536	26085	3	{n=83}
-169382	话务量	65536	169166	3	{n=2}
-169383	那么着	65536	196256	3	{r=0}
-169384	甘拜	115452	29976	1	null
-169385	称王	109558	31216	1	null
-169386	求援	94991	27714	2	{v=6, vn=0}
-169387	锈蚀	65536	38152	3	{v=2, vn=0}
-169388	赌博	128543	36172	2	{v=2, vn=1}
-169391	贼窝	65536	36156	3	{n=0}
-169392	横倒	94058	27178	1	null
-169393	打官	93233	25171	1	null
-169395	缺损	65536	32570	3	{v=0, vn=1}
-169397	顽固性	65536	169089	3	{n=0}
-169398	放炮	65536	25918	3	{v=3}
-169400	腹股	119549	33145	1	null
-169402	酥软	65536	37221	3	{a=0}
-169404	街头	130522	34903	2	{n=1, s=47}
-169405	襄阳	130645	35140	2	{ns=1}
-169407	蛇行	65536	34503	3	{v=0}
-169408	缓解	65536	32531	3	{v=33, vn=7}
-169409	成药	65536	25104	3	{n=0}
-169410	总起	86369	24635	1	null
-169411	蹲苗	65536	36466	3	{v=0}
-169415	树立	65536	26641	3	{v=96, vn=1}
-169416	货运费	65536	209153	3	{n=0}
-169417	高枕无	142211	235632	1	null
-169418	防滑链	65536	223972	3	{n=0}
-169422	小篆	65536	23567	3	{n=1}
-169423	打家	93568	25171	1	null
-169425	贺匾	65536	36154	3	{n=0}
-169426	鸣叫	65536	40483	3	{v=1, vn=3}
-169431	腹胀	65536	33145	3	{v=1}
-169433	购货证	65536	179843	3	{n=0}
-169437	议员	130794	35758	2	{n=47}
-169438	鸣号	65536	40483	3	{v=0}
-169443	腹背	125900	33145	1	null
-169445	计程车	65536	180600	3	{n=0}
-169449	马赛市	65536	241117	3	{ns=0}
-169451	打寒	92620	25171	1	null
-169453	金刚石	65536	218076	3	{n=0}
-169455	货币资	128137	196402	1	null
-169456	林芝	102593	26519	2	{n=0, ns=0}
-169458	风向标	65536	226371	3	{n=0}
-169460	贺卡	65536	36154	3	{n=36}
-169461	放热	96572	25918	2	{v=0}
-169462	心理	88490	24515	2	{n=69}
-169463	镶牙	65536	38262	3	{v=0}
-169464	文墨	65536	25991	3	{n=0}
-169465	汉姓	65536	27721	3	{n=0}
-169466	顿悟	65536	39039	3	{v=1, vn=1}
-169468	金刚砂	65536	218076	3	{n=0}
-169470	接警	65536	25509	3	{v=0}
-169472	郁积	65536	37057	3	{v=0}
-169473	童星	65536	31461	3	{n=0}
-169474	驱寒	65536	39537	3	{v=0}
-169479	铁路线	65536	230406	3	{n=8}
-169487	推让	65536	25512	3	{v=0}
-169488	胶南	125468	33014	2	{ns=0}
-169489	议和	65536	35758	3	{v=2}
-169490	每股	65536	27599	3	{r=1}
-169491	致癌	118776	33268	2	{v=1, vn=3}
-169493	核威	99591	26680	1	null
-169494	手笔	65536	25163	3	{n=0}
-169497	高等教	133957	240676	1	null
-169498	谋害	65536	35851	3	{v=0}
-169500	日寇	65536	26085	3	{n=9}
-169501	赌友	65536	36172	3	{n=0}
-169503	输送车	65536	188472	3	{n=0}
-169504	推论	65536	25512	3	{v=0, vn=0}
-169506	随机码	65536	217452	3	{n=0}
-169508	猪油	107972	29482	2	{n=0}
-169512	打小	89491	25171	1	null
-169513	胶印	120469	33014	2	{vn=0}
-169514	王朝	65536	29579	3	{n=2, nz=0}
-169518	母草	65536	27597	3	{n=0}
-169519	打尖	65536	25171	3	{v=0}
-169520	胶卷	65536	33014	3	{n=1}
-169523	返光	119182	36820	1	null
-169524	绞肉	117711	32478	1	null
-169529	早间	65536	26089	3	{t=0}
-169530	总路	80393	24635	1	null
-169532	陡然	65536	38497	3	{d=2}
-169534	计划署	65536	170367	3	{n=4}
-169536	推诚	86633	25512	1	null
-169538	账目	65536	36134	3	{n=9}
-169539	骂娘	65536	39554	3	{v=1}
-169540	开白	65536	24320	3	{nz=0}
-169541	计付	65536	35745	3	{v=0}
-169543	途程	65536	36884	3	{n=0}
-169546	敌视	65536	25932	3	{v=5, vn=1}
-169547	绞肠	113961	32478	1	null
-169552	残次	99945	27531	1	null
-169553	曲调	65536	26354	3	{n=2}
-169555	请愿	133756	35831	2	{v=0, vn=0}
-169557	礼物	65536	31036	3	{n=22}
-169559	接访	65536	25509	3	{j=0}
-169560	足球赛	65536	169350	3	{n=17}
-169561	日射	90298	26085	1	null
-169564	营具	65536	33829	3	{n=0}
-169566	王村	65536	29579	3	{ns=0}
-169567	年龄	81895	24180	2	{n=62}
-169568	营养	129231	33829	2	{n=22, v=0}
-169570	接诊	65536	25509	3	{v=1}
-169571	计件	128832	35745	1	null
-169572	计价	130757	35745	2	{v=0, vn=3}
-169573	推诿	65536	25512	3	{v=0, vn=0}
-169579	腹腔	109133	33145	2	{n=0}
-169581	逼真	134361	36924	2	{a=3}
-169583	果汁	97625	26524	2	{n=1}
-169584	拉纤	65536	25289	3	{v=0}
-169585	汇集	65536	27719	3	{v=12}
-169586	黄帝城	65536	229707	3	{ns=0}
-169588	诱因	65536	35825	3	{n=2}
-169589	革命性	65536	166562	3	{n=1}
-169591	熟视	107130	29087	1	null
-169594	沉底	65536	27785	3	{v=0, vd=0}
-169595	小米	75096	23567	2	{n=3}
-169596	痛定	112052	30171	1	null
-169597	教科	98278	25945	1	null
-169598	木器	65536	26408	3	{n=0}
-169599	曲谱	65536	26354	3	{n=1}
-169600	跨栏	65536	36328	3	{v=0}
-169602	豪侠	65536	35946	3	{n=0}
-169604	组画	65536	32452	3	{n=0}
-169605	闯江	133378	38383	1	null
-169606	日就	94073	26085	1	null
-169608	至情	114761	33267	1	null
-169611	拉线	65536	25289	3	{n=6}
-169614	股级	65536	32929	3	{b=3, n=1}
-169615	拉练	65536	25289	3	{v=3, vn=2}
-169616	繁盛	65536	32321	3	{a=0, an=0}
-169617	小粉	65536	23567	3	{n=0}
-169619	骑墙	65536	39569	3	{v=0}
-169621	春潮	65536	26149	3	{n=5}
-169623	缩瞳	123560	32553	2	{v=0}
-169624	遣返	65536	36963	3	{v=4, vn=2}
-169625	铁路网	65536	230406	3	{n=1}
-169628	林草	65536	26519	3	{n=0}
-169629	赔罪	65536	36180	3	{v=0}
-169631	开盘	90020	24320	2	{v=11, vn=1}
-169633	文契	65536	25991	3	{n=0}
-169635	物议	65536	29289	3	{n=0}
-169637	能掐	126745	33021	1	null
-169638	豫西	65536	35947	3	{ns=4}
-169639	谨言	129241	35880	1	null
-169641	机子	65536	26426	3	{n=1}
-169642	蜂箱	65536	34562	3	{n=0}
-169643	预制板	65536	214765	3	{n=0}
-169645	打岔	65536	25171	3	{v=0}
-169647	迁移	132514	36801	2	{v=3, vn=3}
-169648	预制构	144611	214765	1	null
-169649	看台	65536	30475	3	{n=10}
-169651	腹膜	65536	33145	3	{n=0}
-169652	鸣响	65536	40483	3	{v=1, vn=2}
-169654	物证	65536	29289	3	{n=3}
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-169656	轮机长	65536	203710	3	{n=0}
-169657	此行	65536	27492	3	{r=8}
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-169660	绞脑	116434	32478	1	null
-169661	驳岸	65536	39539	3	{n=0}
-169662	林荫	87086	26519	2	{n=0}
-169665	胶合	120403	33014	2	{v=0}
-169666	票额	65536	31080	3	{n=1}
-169669	遣送	65536	36963	3	{v=1, vn=0}
-169670	小精	78214	23567	1	null
-169674	警卫队	65536	199712	3	{n=1}
-169675	议商	65536	35758	3	{v=2}
-169676	端阳	108205	31471	2	{t=1}
-169679	闭门羹	65536	187390	3	{n=4}
-169680	暗疾	65536	26263	3	{n=0}
-169681	缩短	65536	32553	3	{v=31, vn=1}
-169682	文如	97876	25991	1	null
-169683	载人	65536	36733	3	{b=1}
-169684	高分子	65536	230113	3	{n=0}
-169685	稀饭	65536	31232	3	{n=0}
-169686	识途	120514	35782	1	null
-169687	龙门吊	65536	238999	3	{n=0}
-169691	臭骂	65536	33261	3	{v=1}
-169692	环节	113661	29615	2	{n=87}
-169693	蛋蛋	65536	34507	3	{n=1}
-169694	金鸡纳	133492	237539	1	null
-169695	误用	65536	35823	3	{v=0, vn=0}
-169696	点拨	65536	28857	3	{v=0, vn=0}
-169700	赌咒	65536	36172	3	{v=0}
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-169702	缩砂	121125	32553	1	null
-169704	明州	65536	26126	3	{ns=3}
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-169712	风云录	65536	224963	3	{n=0}
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-169716	龙胆紫	65536	233589	3	{n=0}
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-169718	纵容	65536	32437	3	{v=3, vn=0}
-169719	限制符	65536	169894	3	{n=0}
-169720	避暑	125181	36991	2	{v=1, vn=0}
-169721	没大	100467	27809	1	null
-169722	违抗	65536	36829	3	{v=0}
-169723	迟缓	65536	36831	3	{a=6, an=1}
-169724	灰化	110059	28784	1	null
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-169728	虹鳟	110919	34425	1	null
-169729	残毒	65536	27531	3	{a=0, n=0}
-169730	河槽	65536	27827	3	{n=1}
-169731	开眼	65536	24320	3	{v=0}
-169733	锌钡	130633	38156	1	null
-169734	没头	100470	27809	1	null
-169735	求救	65536	27714	3	{v=0, vn=0}
-169736	心甘	87117	24515	1	null
-169738	谬论	65536	35884	3	{n=0}
-169741	谣谚	65536	35875	3	{n=0}
-169742	营利	125411	33829	2	{v=2, vn=0}
-169743	求教	65536	27714	3	{v=2}
-169744	林莽	65536	26519	3	{n=1}
-169748	锦上	132881	38182	1	null
-169749	订户	65536	35746	3	{n=4}
-169751	贴片	65536	36148	3	{n=2}
-169752	雌雄同株	65536	163403	3	{l=0}
-169754	没奈	107971	27809	1	null
-169755	领航权	65536	221678	3	{n=0}
-169757	拉网	91539	25289	2	{n=0, v=0, vn=0}
-169759	机密	65536	26426	3	{a=0, n=2}
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-169764	薄冰	65536	34180	3	{n=1}
-169765	心电	89624	24515	1	null
-169766	雌雄异株	65536	166209	3	{l=0}
-169770	毛丫	103958	27611	1	null
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-169778	杂碎	65536	26434	3	{n=0}
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-169786	违拗	65536	36829	3	{v=0}
-169787	阴阳水	65536	228831	3	{n=0}
-169789	毛举	94342	27611	1	null
-169791	谬误	65536	35884	3	{n=3}
-169793	酿祸	65536	37247	3	{v=0}
-169794	皇后	65536	30343	3	{n=0}
-169795	社长	65536	31038	3	{n=23}
-169796	谬说	65536	35884	3	{n=0}
-169798	木地	96373	26408	1	null
-169801	果洛	65536	26524	3	{ns=2}
-169802	甜酒	65536	29980	3	{n=2}
-169803	毛乌	94769	27611	1	null
-169805	毛乎	106756	27611	1	null
-169806	薪饷	65536	34218	3	{n=0}
-169807	餐饮店	65536	191475	3	{n=0}
-169808	横冲	95060	27178	1	null
-169810	高脚杯	65536	242165	3	{n=1}
-169812	鸣啭	65536	40483	3	{v=1, vn=0}
-169814	物象	65536	29289	3	{n=2}
-169817	闭元	122635	38381	1	null
-169818	拉美	65536	25289	3	{j=42}
-169820	窗洞	65536	31383	3	{n=0}
-169822	社会青	115768	151774	1	null
-169823	满分	98725	28385	2	{n=3}
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-169827	放牛	94988	25918	2	{v=0}
-169828	核子	103427	26680	2	{n=0}
-169832	金属矿	65536	220704	3	{n=2}
-169835	着装	65536	30528	3	{n=2, v=4}
-169836	载体	65536	36733	3	{n=16}
-169837	木块	65536	26408	3	{n=0}
-169838	战线	65536	25112	3	{n=78}
-169839	放牧	65536	25918	3	{v=0, vn=0}
-169840	甜酸	101992	29980	1	null
-169843	春灌	65536	26149	3	{v=0, vn=0}
-169844	解剖麻	114011	199660	1	null
-169846	汉子	65536	27721	3	{n=10}
-169850	渔舟	65536	28180	3	{n=0}
-169851	知母	65536	30693	3	{n=0}
-169852	骄人	65536	39556	3	{a=6, v=0}
-169853	汉字	65536	27721	3	{n=0, nz=20}
-169854	明年	99823	26126	2	{t=29}
-169856	运输线	65536	198130	3	{n=2}
-169857	文娱	65536	25991	3	{n=3}
-169859	订报	65536	35746	3	{v=1}
-169863	谄谀	65536	35844	3	{v=0}
-169864	驻军	65536	39547	3	{n=40, v=4, vn=1}
-169865	闭关	128283	38381	2	{v=0}
-169868	汉学	104341	27721	2	{n=0, nz=0}
-169872	青春痘	65536	223113	3	{n=0}
-169876	渔船	65536	28180	3	{n=9}
-169878	读物	65536	35835	3	{n=17}
-169880	战绩	65536	25112	3	{n=12}
-169881	黔北	65536	40660	3	{ns=2}
-169885	薄利	127857	34180	2	{n=0}
-169886	铝土	129987	38109	2	{n=0}
-169888	牙根	65536	29273	3	{n=0}
-169889	藤萝	65536	34276	3	{n=0}
-169893	横切	86760	27178	1	null
-169894	限制	138193	38480	2	{n=1, v=36, vn=34}
-169896	沉心	89399	27785	1	null
-169897	月相	65536	26376	3	{n=0}
-169899	锻炉	65536	38203	3	{n=0}
-169900	心疼	65536	24515	3	{v=7}
-169901	黎巴	144884	40654	1	null
-169902	核定	65536	26680	3	{v=5, vn=0}
-169903	鼎城	65536	40718	3	{ns=3}
-169906	核实	65536	26680	3	{v=13, vn=3}
-169907	干面	65536	24178	3	{n=0}
-169908	谈兴	65536	35848	3	{n=0}
-169909	心病	65536	24515	3	{n=1}
-169910	照亮	65536	29031	3	{v=6}
-169919	接货	65536	25509	3	{v=0}
-169920	费手	121767	36153	1	null
-169921	砂锅	65536	30722	3	{n=0}
-169923	资源量	65536	195321	3	{n=2}
-169925	饮食店	65536	185850	3	{n=1}
-169926	开矿	65536	24320	3	{v=2}
-169927	霍普	125479	38669	1	null
-169928	阿根廷湖	65536	162525	3	{ns=0}
-169929	灰口	94283	28784	1	null
-169931	心痛	81746	24515	1	null
-169933	指骨	65536	25351	3	{n=0}
-169934	蜂糕	65536	34562	3	{n=0}
-169939	胃蛋	116277	32963	1	null
-169940	工龄	65536	24037	3	{n=3}
-169942	讯问	65536	35759	3	{v=1, vn=0}
-169946	星际	65536	26143	3	{n=1}
-169947	通讯社	65536	228347	3	{n=10}
-169948	灰叶	102873	28784	1	null
-169949	黄梅季	65536	232371	3	{n=0}
-169950	锻炼	65536	38203	3	{v=24, vn=14}
-169953	记者部	65536	200870	3	{n=1}
-169954	长途跋	133391	235461	1	null
-169955	社队	65536	31038	3	{n=0}
-169956	暗盒	65536	26263	3	{n=0}
-169957	求是	65536	27714	3	{nz=7}
-169960	山鸡	80979	23665	2	{n=0}
-169963	永隆	107662	27704	2	{ns=2}
-169964	航次	65536	33322	3	{n=0, q=0}
-169965	山鸦	65536	23665	3	{n=0}
-169968	调节费	65536	222377	3	{n=2}
-169971	拉耧	65536	25289	3	{v=0}
-169972	横剖	86762	27178	1	null
-169976	缺斤	123284	32570	1	null
-169978	龙口市	65536	222098	3	{ns=0}
-169979	端面	65536	31471	3	{n=0}
-169980	须根	65536	39035	3	{n=0}
-169981	表演队	65536	205650	3	{n=15}
-169982	打工	94586	25171	2	{v=34, vn=5}
-169986	沉思	65536	27785	3	{v=6, vn=2}
-169987	泥水	107666	27877	2	{n=3}
-169989	阶段	137628	38454	2	{n=260}
-169994	铝型	134263	38109	1	null
-169996	阿尔托	139518	216535	1	null
-169997	核对	65536	26680	3	{v=5, vn=0}
-169998	货郎鼓	65536	209407	3	{n=0}
-169999	鹅毛扇	65536	174929	3	{n=0}
-170000	核导	100142	26680	1	null
-170001	战罢	65536	25112	3	{v=2}
-170002	运输网	65536	198130	3	{n=0}
-170003	酬答	65536	37228	3	{v=1}
-170004	高中版	65536	229128	3	{n=2}
-170006	耍脾	118150	32781	1	null
-170008	江心	65536	27743	3	{n=2, s=0}
-170010	通风管	65536	231706	3	{n=0}
-170013	物质	108354	29289	2	{n=94}
-170015	营区	65536	33829	3	{n=7}
-170018	照会	65536	29031	3	{n=2, v=0}
-170020	障碍赛	126818	173837	1	null
-170021	汉寿	106381	27721	2	{ns=0}
-170022	社院	65536	31038	3	{j=0}
-170023	鹤山	143637	40548	2	{ns=5}
-170025	手紧	65536	25163	3	{v=0}
-170026	虚无飘	122706	199589	1	null
-170028	黎平	146725	40654	2	{ns=1}
-170029	谦辞	65536	35878	3	{n=0}
-170030	顺水推	131360	219417	1	null
-170031	贺喜	65536	36154	3	{v=0}
-170032	黄色文	144681	239008	1	null
-170033	风雨如磐	65536	168685	3	{i=0}
-170035	山鹬	65536	23665	3	{n=0}
-170036	贡酒	65536	36129	3	{n=0}
-170037	查房	65536	26597	3	{v=0}
-170038	闺秀	65536	38394	3	{n=0}
-170040	骗子	141296	39575	2	{n=4}
-170041	物资	110174	29289	2	{n=126}
-170042	日工	65536	26085	3	{n=0}
-170046	横加	100170	27178	1	null
-170047	长三火	129573	218554	1	null
-170048	进退维	121666	222087	1	null
-170050	非经营	139586	230494	1	null
-170053	苍松	116133	33485	2	{n=0}
-170055	觉醒	65536	35273	3	{v=1, vn=1}
-170057	飞行帽	65536	227781	3	{n=0}
-170059	金融版	65536	231759	3	{n=7}
-170060	速成	128830	36895	2	{v=0, vn=0}
-170061	鹤岗	143638	40548	2	{ns=1}
-170062	鞭炮	141688	38829	2	{n=12}
-170063	贫嘴	120476	36139	2	{n=0}
-170064	灯丝	65536	28783	3	{n=0}
-170068	速战	121614	36895	1	null
-170070	豪兴	65536	35946	3	{n=0}
-170071	风华绝	144894	226176	1	null
-170073	查扣	65536	26597	3	{v=1}
-170074	山麓	65536	23665	3	{n=3, s=0}
-170075	诺贝	130303	35834	1	null
-170076	平铺	78871	24179	1	null
-170078	骚客	65536	39578	3	{n=0}
-170079	糖分	65536	31958	3	{n=3}
-170081	熟记	65536	29087	3	{v=0}
-170084	谈判	127316	35848	2	{n=0, v=40, vn=144}
-170086	拉肚	92500	25289	1	null
-170088	泥沙	108488	27877	2	{n=2}
-170089	豆腐衣	65536	191174	3	{n=0}
-170091	饮子	65536	39278	3	{n=0}
-170093	此言	65536	27492	3	{r=0}
-170096	谈到	65536	35848	3	{v=3}
-170097	杂种	65536	26434	3	{n=0}
-170100	查找	65536	26597	3	{v=4, vn=0}
-170101	松散	65536	26494	3	{a=0}
-170103	熟识	65536	29087	3	{v=0}
-170105	财政资	128031	191201	1	null
-170106	查抄	65536	26597	3	{v=0, vn=0}
-170112	贴现	125159	36148	2	{v=3, vn=4}
-170113	规整	65536	35268	3	{a=1}
-170114	泥河	90742	27877	1	null
-170115	知法	109527	30693	2	{v=1, vn=0}
-170117	锡林郭	139819	168759	1	null
-170118	顿挫	134683	39039	1	null
-170120	贩运	65536	36137	3	{v=2, vn=1}
-170121	终结	112210	32456	2	{v=9, vn=2}
-170123	泥沼	65536	27877	3	{n=1}
-170124	打平	65536	25171	3	{v=0}
-170125	日常	90480	26085	2	{b=32, d=0, n=0}
-170128	阔步	65536	38420	3	{d=4}
-170131	照例	65536	29031	3	{d=1}
-170134	购机	65536	36141	3	{j=0, vn=1}
-170135	藤蔓	65536	34276	3	{n=0}
-170136	航母	65536	33322	3	{j=2, n=2}
-170137	谦逊	65536	35878	3	{a=2, an=0}
-170140	能文	113978	33021	1	null
-170142	熟语	65536	29087	3	{n=0}
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-170145	运算表	65536	193014	3	{n=0}
-170148	月石	65536	26376	3	{n=0}
-170149	点播	110479	28857	2	{v=1}
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-170151	文字	95337	25991	2	{n=73}
-170152	文存	65536	25991	3	{n=0}
-170155	自然存	125472	215142	1	null
-170156	熟读	65536	29087	3	{v=2}
-170157	泥泞	65536	27877	3	{a=1, n=4}
-170158	打底	91366	25171	1	null
-170159	核岛	65536	26680	3	{n=2}
-170160	霸权	143743	38712	2	{n=1}
-170161	胜景	65536	32988	3	{n=1}
-170162	杂税	65536	26434	3	{n=0}
-170163	荡魂	123884	33633	1	null
-170166	文学	100452	25991	2	{n=107}
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-170174	认为	65536	35748	3	{v=654}
-170175	条钢	65536	26465	3	{n=0}
-170176	春熙	84853	26149	1	null
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-170194	计入	65536	35745	3	{v=3}
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-170212	心直	90421	24515	1	null
-170215	文宗	65536	25991	3	{nz=0}
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-170220	设施	65536	35774	3	{n=282}
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-170225	迟脉	65536	36831	3	{n=0}
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-170228	钓鱼竿	65536	180605	3	{n=0}
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-170235	限压	124412	38480	1	null
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-170245	横卧	65536	27178	3	{v=1}
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-170263	酱紫	65536	37233	3	{b=0}
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-170283	灵丹	109511	28789	1	null
-170284	心眼	65536	24515	3	{n=4}
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-170299	驻华	65536	39547	3	{v=3, vn=60}
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-170311	登陆	111739	30331	2	{v=5, vn=2}
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-170314	木头	102725	26408	2	{n=1}
-170315	福人	65536	31119	3	{n=0}
-170316	鬣羚	65536	39715	3	{n=0}
-170317	灯会	65536	28783	3	{n=7}
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-170319	河汊	105021	27827	1	null
-170321	灯伞	65536	28783	3	{n=0}
-170322	残渣	106152	27531	2	{n=1}
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-170334	没完	100473	27809	2	{v=1}
-170335	机帆	89910	26426	1	null
-170337	机师	65536	26426	3	{n=0}
-170339	黄金壳	65536	242943	3	{n=1}
-170340	牙槽	104747	29273	1	null
-170341	河池	65536	27827	3	{ns=2}
-170342	山龟	65536	23665	3	{n=0}
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-170344	点数	65536	28857	3	{n=1, v=0}
-170345	朝野	65536	26397	3	{n=2}
-170346	波长	65536	27874	3	{n=3}
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-170348	明恢	65536	26126	3	{nz=0}
-170351	糖化	65536	31958	3	{v=0}
-170352	证件	65536	35777	3	{n=7}
-170353	韩文	65536	38889	3	{nz=0}
-170355	计分	65536	35745	3	{v=1, vn=1}
-170356	骄傲	133128	39556	2	{a=12, an=6}
-170357	阿尔贝维	138796	180945	1	null
-170358	平阔	65536	24179	3	{a=1}
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-170362	遮盖	65536	36974	3	{v=1, vn=0}
-170363	高填方	138544	231750	1	null
-170364	鹊桥	147415	40522	2	{n=0}
-170365	长途车	65536	235461	3	{n=0}
-170366	载入	65536	36733	3	{v=3}
-170367	计划	136908	35745	2	{n=327, nz=0, v=46, vd=1, vn=8}
-170371	胶囊	65536	33014	3	{n=1}
-170374	贫病交迫	65536	154680	3	{i=0}
-170375	黄山松	65536	229279	3	{n=0}
-170376	贴心话	65536	165011	3	{n=0}
-170377	耍花	120514	32781	1	null
-170379	战胜	92034	25112	2	{v=82}
-170380	赌场	65536	36172	3	{n=1}
-170381	闭卷	65536	38381	3	{b=0, n=1, v=1, vn=0}
-170383	行政院	65536	212167	3	{n=0}
-170384	驰援	65536	39536	3	{v=2}
-170385	辅线	65536	36741	3	{n=6}
-170386	频度	65536	39057	3	{n=0}
-170387	邪祟	65536	37034	3	{n=0}
-170388	校改	65536	26657	3	{v=0}
-170389	平阳	87891	24179	1	null
-170394	提要	65536	25552	3	{n=1, v=1}
-170395	阎王账	65536	167957	3	{n=0}
-170397	查控	65536	26597	3	{v=1}
-170398	河沙	105864	27827	1	null
-170401	透明纸	65536	185320	3	{n=0}
-170404	河沟	65536	27827	3	{n=0}
-170409	鸦片	142427	40486	2	{n=3}
-170412	板车	65536	26495	3	{n=3}
-170415	横向	65536	27178	3	{n=4}
-170416	打得	85967	25171	1	null
-170417	满员	65536	28385	3	{v=1}
-170418	早饭	65536	26089	3	{n=2}
-170420	耐药	121241	32784	1	null
-170421	秋冬	117013	31179	1	null
-170424	误码	124089	35823	2	{n=0}
-170425	腰斩	65536	33136	3	{v=0}
-170426	手纸	65536	25163	3	{n=0}
-170427	手纹	65536	25163	3	{n=0}
-170428	辐射能	65536	156868	3	{n=0}
-170430	干饭	65536	24178	3	{n=0}
-170433	文山	98499	25991	1	null
-170434	曲轴	65536	26354	3	{n=0}
-170436	河沿	65536	27827	3	{s=0}
-170444	推车	96939	25512	1	null
-170445	排错	65536	25490	3	{v=0}
-170447	树结	97924	26641	1	null
-170448	高能耗	65536	242136	3	{n=2}
-170450	秋凉	65536	31179	3	{t=0}
-170454	跨步	125814	36328	2	{v=1}
-170455	横吹	65536	27178	3	{v=2}
-170459	糖厂	65536	31958	3	{n=2}
-170461	阿克苏	134431	213774	2	{ns=0}
-170462	胜果	65536	32988	3	{j=0, n=3}
-170463	永顺	106293	27704	2	{ns=1}
-170464	遮眼	130911	36974	1	null
-170467	机床	65536	26426	3	{n=5}
-170468	手绢	65536	25163	3	{n=1}
-170470	木姐	65536	26408	3	{ns=0}
-170471	母蜂	65536	27597	3	{n=0}
-170472	舌苔	65536	33292	3	{n=0}
-170474	河泥	65536	27827	3	{n=0}
-170476	机库	65536	26426	3	{n=0}
-170478	饶有	144856	39286	2	{v=1}
-170479	手续	78392	25163	2	{n=42}
-170480	龙岩市	65536	224344	3	{ns=1}
-170481	薄命	65536	34180	3	{z=0}
-170483	风景林	65536	231073	3	{n=0}
-170486	霉气	65536	38665	3	{n=0}
-170487	毒物	65536	27602	3	{n=0}
-170488	糖原	65536	31958	3	{n=0}
-170489	核工	104527	26680	1	null
-170491	看场	65536	30475	3	{v=0}
-170492	让行	65536	35753	3	{v=1}
-170496	接轨	65536	25509	3	{v=19, vn=4}
-170499	汉川	103757	27721	1	null
-170500	推辞	65536	25512	3	{v=1}
-170501	纪念照	65536	157968	3	{n=0}
-170502	点明	65536	28857	3	{v=0}
-170503	柳辛	100101	26611	1	null
-170505	小老	83901	23567	1	null
-170506	谈及	65536	35848	3	{v=5}
-170507	贴画	65536	36148	3	{n=0}
-170511	秋分	111547	31179	2	{t=0}
-170515	暗礁	65536	26263	3	{n=1}
-170516	校方	65536	26657	3	{n=0}
-170518	航测	65536	33322	3	{n=1}
-170520	被乘	125844	34987	1	null
-170521	月票	65536	26376	3	{n=3}
-170522	总量	65536	24635	3	{n=74}
-170524	诈降	65536	35784	3	{v=0}
-170526	闭合	131548	38381	2	{v=1, vn=2}
-170529	预备生	65536	216510	3	{n=0}
-170530	诬陷	65536	35820	3	{v=1, vn=0}
-170532	谈古	118248	35848	1	null
-170535	放生	65536	25918	3	{v=0, vn=0}
-170537	都督	65536	37117	3	{n=0}
-170538	河津	104333	27827	1	null
-170540	日志	65536	26085	3	{n=1}
-170544	豪华	131850	35946	2	{a=14, an=1}
-170546	校旗	65536	26657	3	{n=0}
-170547	排长	65536	25490	3	{n=0}
-170550	狂笑	65536	29378	3	{v=0}
-170551	骄兵	141873	39556	1	null
-170552	设有	65536	35774	3	{v=12}
-170554	松木	65536	26494	3	{n=0, nr=0}
-170555	质量课	65536	189154	3	{n=0}
-170556	鹤庆	146268	40548	1	null
-170557	放电	93597	25918	2	{v=0, vn=1}
-170558	松本	65536	26494	3	{nr=0}
-170559	灵位	65536	28789	3	{n=0}
-170560	文峰	97442	25991	1	null
-170561	推进	96041	25512	2	{v=304, vn=8}
-170562	航海	125962	33322	2	{v=1, vn=0}
-170563	逞能	65536	36894	3	{v=0}
-170565	推迟	65536	25512	3	{v=21, vd=0, vn=0}
-170566	河流	90186	27827	2	{n=11}
-170568	裸露	65536	35064	3	{v=1, vd=1, vn=0}
-170570	此话	65536	27492	3	{r=3}
-170571	说不过	132297	200578	1	null
-170572	暗示	91584	26263	2	{v=0, vn=0}
-170573	高级小	143537	241538	1	null
-170574	订数	65536	35746	3	{n=1}
-170576	谈吐	65536	35848	3	{n=2}
-170577	校时	86407	26657	1	null
-170578	骇异	65536	39559	3	{a=0}
-170580	开窍	65536	24320	3	{a=0, v=0}
-170584	贬褒	65536	36140	3	{v=1}
-170585	赫赫	134039	36203	2	{z=1}
-170587	松杉	65536	26494	3	{n=0}
-170588	心硬	65536	24515	3	{a=0}
-170589	统率	65536	32479	3	{v=0, vn=0}
-170590	货运量	65536	209153	3	{n=3}
-170591	接过	65536	25509	3	{v=0}
-170595	象牙质	65536	166441	3	{n=0}
-170596	旧雨	83263	26087	1	null
-170597	条陈	65536	26465	3	{n=0, v=0}
-170599	走马观	121844	222115	1	null
-170600	接运	65536	25509	3	{v=0}
-170601	接近	65536	25509	3	{v=36, vn=0}
-170602	登革	107941	30331	1	null
-170604	陨落	65536	38504	3	{v=0}
-170605	请教	65536	35831	3	{v=11, vn=1}
-170606	阳春面	65536	198251	3	{n=0}
-170607	推选	65536	25512	3	{v=8, vn=0}
-170609	明慧	65536	26126	3	{a=0}
-170610	小聪	80886	23567	1	null
-170611	毛兴	100355	27611	2	{ns=0}
-170612	韵文	65536	38901	3	{n=0}
-170614	接连	97026	25509	2	{d=14}
-170616	胸无	124468	33016	1	null
-170619	薄唇	65536	34180	3	{n=1}
-170620	河海	65536	27827	3	{nz=0}
-170621	烧心	65536	28903	3	{a=0}
-170622	心碎	65536	24515	3	{v=1}
-170623	街巷	126493	34903	2	{n=2, s=1}
-170631	萨满	124167	33832	1	null
-170634	街市	65536	34903	3	{n=1}
-170636	江户	65536	27743	3	{ns=0}
-170639	谜面	65536	35868	3	{n=0}
-170640	松松	101338	26494	1	null
-170642	开立	65536	24320	3	{v=2, vn=0}
-170643	辩论	136720	36777	2	{v=4, vn=5}
-170644	豆瓣酱	65536	187993	3	{n=0}
-170647	贫困线	65536	170251	3	{n=7}
-170649	接送	65536	25509	3	{v=3, vn=1}
-170650	辩证	135166	36777	2	{a=1, b=1, d=0, v=2, vd=0, vn=1}
-170651	类风	114058	31867	1	null
-170653	蜂群	65536	34562	3	{n=0}
-170654	成行	65536	25104	3	{v=2, vn=0}
-170655	放疗	65536	25918	3	{v=0, vn=0}
-170656	熟路	65536	29087	3	{n=0}
-170657	预防药	65536	232169	3	{n=0}
-170658	小肚	86216	23567	1	null
-170660	颜料	65536	39068	3	{n=3}
-170661	痛心	106518	30171	2	{a=7, an=1, v=0}
-170662	闪烁生	124773	176237	1	null
-170663	难民署	65536	218897	3	{n=0}
-170664	小肠	86998	23567	2	{n=0}
-170665	松林	65536	26494	3	{n=0, nz=0}
-170666	黄花晚	134672	239071	1	null
-170667	高低杠	65536	229417	3	{n=0}
-170670	松果	103489	26494	2	{n=0}
-170671	松枝	65536	26494	3	{n=2}
-170673	灵便	65536	28789	3	{a=0}
-170674	接通	87443	25509	2	{v=2}
-170675	核废	98514	26680	1	null
-170676	载力	65536	36733	3	{n=0}
-170677	成衣	65536	25104	3	{n=0}
-170678	开端	65536	24320	3	{n=12, v=0}
-170681	阿克莫	136972	213774	1	null
-170683	平静	65536	24179	3	{a=30, ad=0, an=3, v=0}
-170685	资本论	65536	193429	3	{n=7, nz=0}
-170686	礼盒	65536	31036	3	{n=0}
-170690	瓦松	65536	29926	3	{n=0}
-170692	平面	88386	24179	2	{n=3}
-170694	金银箔	65536	235192	3	{j=0}
-170695	轿车	65536	36735	3	{n=36, nz=1}
-170696	镇流管	65536	201483	3	{n=0}
-170698	校景	65536	26657	3	{n=0}
-170701	痛快	108556	30171	2	{a=5, an=0}
-170702	照准	65536	29031	3	{v=0}
-170704	胆力	65536	32966	3	{n=0}
-170707	排队	65536	25490	3	{n=0, v=19, vd=0, vn=1}
-170708	马拉松	141746	230219	2	{n=1}
-170710	预算案	65536	225358	3	{n=7}
-170711	蚕豆	65536	34453	3	{n=2}
-170714	王母	111660	29579	1	null
-170718	打情	75197	25171	1	null
-170719	战舰	65536	25112	3	{n=0}
-170721	松柏	103732	26494	2	{n=1}
-170724	郁结	65536	37057	3	{v=0}
-170726	纪念版	65536	157968	3	{n=0}
-170728	战船	65536	25112	3	{n=0}
-170729	小胡	80327	23567	1	null
-170730	纪念牌	65536	157968	3	{n=0}
-170731	高中生	65536	229128	3	{n=1}
-170732	航渡	65536	33322	3	{v=0}
-170737	运输舰	65536	198130	3	{n=0}
-170746	运输船	65536	198130	3	{n=0}
-170751	贫壤	124423	36139	1	null
-170754	皇城	110848	30343	2	{ns=0}
-170757	灰土	65536	28784	3	{n=0}
-170758	陇海	65536	38471	3	{j=1, n=0}
-170759	纪念物	65536	157968	3	{n=0}
-170760	洗衣	105187	27927	2	{v=3, vn=3}
-170762	河清	100381	27827	1	null
-170763	途经	65536	36884	3	{v=6}
-170764	颤栗	65536	39076	3	{v=0, vn=0}
-170770	衰颓	65536	34928	3	{v=0}
-170771	页理	65536	39029	3	{n=0}
-170774	机徽	65536	26426	3	{n=0}
-170776	排除	96903	25490	2	{v=33, vn=0}
-170777	小脑	65536	23567	3	{n=0}
-170779	衰颜	118990	34928	1	null
-170780	机心	65536	26426	3	{n=0}
-170781	生产额	65536	188608	3	{n=0}
-170782	算盘	118743	31639	2	{n=0}
-170786	小脚	84130	23567	2	{n=0}
-170787	松树	65536	26494	3	{n=6}
-170788	酱缸	65536	37233	3	{n=0}
-170789	河渠	65536	27827	3	{n=1}
-170790	蛇足	65536	34503	3	{j=0, n=0}
-170791	高低柜	65536	229417	3	{n=0}
-170792	毛利	97231	27611	2	{n=1}
-170793	核引	103378	26680	1	null
-170796	查收	65536	26597	3	{v=0}
-170804	河港	65536	27827	3	{n=0}
-170805	文工	96512	25991	1	null
-170806	逊色	65536	36874	3	{a=4, an=1}
-170809	毛刺	65536	27611	3	{n=0}
-170810	颂歌	65536	39042	3	{n=4}
-170811	韩村	136685	38889	1	null
-170812	泥潭	65536	27877	3	{n=0}
-170813	肺静	113526	32954	1	null
-170817	王水	65536	29579	3	{n=0}
-170818	贻误	65536	36155	3	{v=1}
-170819	话外	114589	35805	1	null
-170821	附着物	65536	198358	3	{n=0}
-170822	指鸡	76837	25351	1	null
-170825	规格	131254	35268	2	{n=18}
-170826	痛恨	65536	30171	3	{v=0}
-170827	醒豁	65536	37266	3	{a=0}
-170828	秋千	65536	31179	3	{n=1}
-170829	核弹	101690	26680	2	{n=0}
-170830	心神	91920	24515	2	{n=0}
-170831	金融界	65536	231759	3	{n=14}
-170833	顿时	65536	39039	3	{d=12}
-170834	杂粮	65536	26434	3	{n=0}
-170837	松桃	65536	26494	3	{ns=3}
-170838	腰杆	126539	33136	2	{n=4}
-170842	钱串	136962	38065	1	null
-170845	锅盖	65536	38149	3	{n=0}
-170849	话头	65536	35805	3	{n=0}
-170851	诚笃	65536	35802	3	{a=0}
-170852	果然	101139	26524	2	{c=1, d=5}
-170855	镀膜	123072	38208	2	{n=6}
-170856	校服	65536	26657	3	{n=1}
-170857	锚索	65536	38170	3	{j=6}
-170858	革故	123687	38761	1	null
-170859	费时	65536	36153	3	{a=1, ad=0, n=0, v=0}
-170861	木字	96825	26408	1	null
-170863	教练	96781	25945	2	{n=41}
-170865	色丹	65536	33394	3	{ns=0}
-170866	排难	81589	25490	1	null
-170868	辉绿	133124	36745	1	null
-170870	痛悔	65536	30171	3	{v=1}
-170871	登顶	65536	30331	3	{v=0}
-170872	开箱	65536	24320	3	{v=1}
-170873	贱货	65536	36145	3	{n=0}
-170874	骇怪	65536	39559	3	{a=0}
-170875	饲料	144322	39282	2	{n=12}
-170876	灯光	108268	28783	2	{n=18}
-170881	小腹	65536	23567	3	{n=0}
-170882	遐迩	120241	36944	1	null
-170883	河湾	65536	27827	3	{n=0}
-170884	速效	125584	36895	2	{n=2}
-170885	鸡鸣而	131293	233718	1	null
-170887	小腿	65536	23567	3	{n=0}
-170888	组稿	65536	32452	3	{v=0}
-170889	闸瓦	65536	38392	3	{n=0}
-170891	蜜罐	65536	34588	3	{n=1}
-170893	满嘴	65536	28385	3	{n=1}
-170894	开篇	65536	24320	3	{n=1}
-170895	腰板	65536	33136	3	{n=0}
-170896	诱导	129074	35825	2	{v=0, vn=0}
-170899	账簿	65536	36134	3	{n=5}
-170900	毒理	103237	27602	2	{n=1}
-170901	河源	104345	27827	2	{n=0, ns=0}
-170903	粮田	65536	31918	3	{n=2}
-170904	被俘	65536	34987	3	{v=0, vn=1}
-170906	手肘	65536	25163	3	{n=0}
-170910	痛悼	65536	30171	3	{v=0}
-170911	糖商	65536	31958	3	{n=0}
-170912	陷没	65536	38519	3	{v=0}
-170913	胸有	121854	33016	1	null
-170916	指鹿	96372	25351	1	null
-170917	方略	97342	26041	2	{n=13}
-170918	照办	65536	29031	3	{v=0}
-170919	螺钉	65536	34746	3	{n=0}
-170920	盐罐	65536	30416	3	{n=0}
-170921	霞浦	142282	38686	2	{ns=0}
-170922	灯具	65536	28783	3	{n=2}
-170923	排雷	65536	25490	3	{v=0, vn=0}
-170924	腰果	127166	33136	2	{n=1}
-170931	电子表	65536	192405	3	{n=0}
-170936	运费表	65536	197528	3	{n=0}
-170937	来源	103554	26469	2	{n=43}
-170942	痛惜	65536	30171	3	{v=1, vn=1}
-170943	颈椎	65536	39048	3	{n=0}
-170945	观察镜	65536	181102	3	{n=1}
-170947	蠢驴	65536	34850	3	{n=0}
-170948	焦糊	101048	28966	1	null
-170950	赖账	65536	36182	3	{v=1, vn=0}
-170951	提议	65536	25552	3	{n=3, v=14, vn=1}
-170952	返回	133087	36820	2	{v=32, vn=1}
-170955	点染	65536	28857	3	{v=1}
-170956	鼓风炉	65536	218234	3	{n=0}
-170958	手背	65536	25163	3	{n=0}
-170960	焦糖	65536	28966	3	{n=0}
-170962	麻醉师	65536	226765	3	{n=0}
-170965	革新	136450	38761	2	{nr=0, v=4, vn=14}
-170966	查无	100785	26597	1	null
-170967	核心	100910	26680	2	{n=135}
-170968	平顶	85668	24179	1	null
-170969	香蕉林	65536	232306	3	{n=1}
-170970	武丑	65536	27494	3	{n=0}
-170972	平顺	87906	24179	2	{a=0, ns=0}
-170973	螺钿	65536	34746	3	{n=0}
-170974	波音	65536	27874	3	{b=9, nz=16}
-170975	透明胶	65536	185320	3	{n=0}
-170977	阎罗	132257	38414	2	{nr=0}
-170978	王法	65536	29579	3	{n=0}
-170979	文库	65536	25991	3	{n=12}
-170980	此起	101702	27492	1	null
-170983	返国	65536	36820	3	{v=0}
-170985	文庙	95938	25991	1	null
-170987	集成电	126995	208727	1	null
-170988	贸工部	65536	158461	3	{j=0}
-170989	河滨	65536	27827	3	{n=1}
-170990	河滩	106092	27827	2	{n=1}
-170991	蜂胶	65536	34562	3	{n=0}
-170994	树胶	65536	26641	3	{n=0}
-170996	拉萨	91823	25289	2	{ns=37}
-170997	看头	65536	30475	3	{n=2}
-171001	赋诗	65536	36171	3	{v=1}
-171002	陡直	65536	38497	3	{a=0}
-171003	馆内	65536	39302	3	{n=0, s=2}
-171006	树脂	96015	26641	2	{n=1}
-171009	痛感	65536	30171	3	{n=0, v=0, vn=0}
-171010	纵情	65536	32437	3	{d=2, v=0}
-171012	查明	65536	26597	3	{v=10}
-171021	小舅	83657	23567	2	{n=0}
-171022	称称	65536	31216	3	{v=0}
-171024	提请	65536	25552	3	{v=5, vn=0}
-171026	武义	104750	27494	2	{ns=0}
-171027	成见	65536	25104	3	{n=0}
-171028	小舌	65536	23567	3	{n=0}
-171029	营地	65536	33829	3	{n=4}
-171030	成规	65536	25104	3	{n=0}
-171031	秋后	108766	31179	2	{t=2}
-171033	福冈	65536	31119	3	{ns=1}
-171034	曲里	96524	26354	1	null
-171035	政风	65536	25919	3	{n=8}
-171036	手脚	65536	25163	3	{n=6}
-171037	财政部	116173	191201	2	{n=8, nt=27, t=0}
-171041	驶往	65536	39542	3	{v=1}
-171042	镁砂	65536	38209	3	{n=0}
-171043	暗笑	65536	26263	3	{v=0}
-171044	鸡爪菊	65536	222461	3	{n=0}
-171047	小舟	65536	23567	3	{n=0, nr=0}
-171048	豪商	130225	35946	1	null
-171049	打成	94789	25171	2	{v=0}
-171050	武乡	104751	27494	1	null
-171052	鸡血藤	65536	228115	3	{n=0}
-171053	比拟	65536	27604	3	{v=3, vn=0}
-171055	色价	65536	33394	3	{n=1}
-171057	打战	65536	25171	3	{v=0}
-171058	灰塌	109763	28784	1	null
-171059	推重	89490	25512	1	null
-171062	镁砖	65536	38209	3	{n=0}
-171063	逞英	119901	36894	1	null
-171067	灵光	65536	28789	3	{a=1, nz=0}
-171070	看好	65536	30475	3	{v=22}
-171073	小船	65536	23567	3	{n=9}
-171076	放眼	98046	25918	2	{v=9, vd=0}
-171077	收生	94759	25910	1	null
-171078	满园	105350	28385	1	null
-171080	获释	65536	33719	3	{v=3, vn=1}
-171083	街心	65536	34903	3	{s=3}
-171086	银行界	65536	226239	3	{n=2}
-171087	小艇	65536	23567	3	{n=0}
-171088	钨砂	65536	38056	3	{n=0}
-171089	职教	115024	32844	2	{j=0}
-171091	王浆	65536	29579	3	{n=0}
-171093	武二	92734	27494	1	null
-171094	毛南	100744	27611	1	null
-171095	手腕	91171	25163	2	{n=1}
-171096	锦华	65536	38182	3	{nz=0}
-171098	跌落	65536	36300	3	{v=2}
-171099	死不	95697	27515	1	null
-171100	此路	106168	27492	1	null
-171101	皇天	65536	30343	3	{n=0}
-171102	皇太	116015	30343	1	null
-171103	敌进	93122	25932	1	null
-171105	木屋	65536	26408	3	{n=12}
-171108	打手	93577	25171	2	{n=0}
-171110	木屐	65536	26408	3	{n=0}
-171111	木屑	65536	26408	3	{n=0}
-171112	职数	65536	32844	3	{n=0}
-171116	打打	65536	25171	3	{v=2}
-171120	贻贝	65536	36155	3	{n=0}
-171124	毒瓦	100610	27602	1	null
-171125	酱肉	65536	37233	3	{n=0}
-171127	营垒	65536	33829	3	{n=0}
-171129	请来	65536	35831	3	{v=1}
-171132	泥炭	108118	27877	2	{n=1}
-171133	心窍	65536	24515	3	{n=0}
-171134	认出	65536	35748	3	{v=1}
-171135	收留	65536	25910	3	{v=0}
-171137	文弱	98701	25991	2	{z=0}
-171138	监视	116031	30417	2	{v=16, vn=4}
-171139	武人	65536	27494	3	{n=0}
-171140	打扫	65536	25171	3	{v=7}
-171141	报表	65536	25253	3	{n=8}
-171143	打扮	65536	25171	3	{n=0, v=7, vn=0}
-171144	日戳	65536	26085	3	{n=0}
-171145	打扰	65536	25171	3	{v=0}
-171146	小节	65536	23567	3	{n=2}
-171148	猪猡	65536	29482	3	{n=0}
-171149	心窝	91108	24515	2	{n=3}
-171154	校样	65536	26657	3	{n=0}
-171156	窗牖	65536	31383	3	{n=3}
-171157	阅读站	65536	177098	3	{n=0}
-171158	残照	65536	27531	3	{n=0}
-171159	福分	65536	31119	3	{n=1}
-171170	瓦楞	111986	29926	2	{n=1}
-171172	薄地	65536	34180	3	{n=0}
-171174	环行	102379	29615	2	{v=1}
-171177	暗算	65536	26263	3	{v=1, vn=0}
-171178	满坑	103121	28385	1	null
-171179	隔音符	141617	200415	1	null
-171180	死乞	95977	27515	1	null
-171181	日托	65536	26085	3	{n=0}
-171183	需要	126297	38656	2	{n=107, v=378, vn=44}
-171185	打折	89574	25171	2	{v=4, vn=0}
-171186	证券	133235	35777	2	{n=205}
-171187	贻赠	65536	36155	3	{v=0}
-171189	歌诀	65536	27468	3	{n=0}
-171190	练达	65536	32451	3	{a=0}
-171191	皇妃	65536	30343	3	{n=0}
-171192	风光旖	139010	225659	1	null
-171193	小花	80200	23567	1	null
-171194	福利	119262	31119	2	{n=33, nr=0}
-171195	黄金屋	65536	242943	3	{n=1}
-171199	暗箭	101432	26263	2	{n=0}
-171200	熟透	65536	29087	3	{v=1}
-171201	顽强	65536	39037	3	{a=18, ad=15, an=0}
-171202	歌词	65536	27468	3	{n=10}
-171203	暗箱	65536	26263	3	{n=0}
-171204	手臂	65536	25163	3	{n=6}
-171205	耐蚀	65536	32784	3	{a=0}
-171209	金刚经	65536	218076	3	{n=0}
-171210	打抱	94786	25171	1	null
-171212	赫连	65536	36203	3	{nr=0}
-171216	毛发	65536	27611	3	{n=1}
-171220	驱护	132977	39537	1	null
-171221	鲁鱼帝	132881	192193	1	null
-171223	小苏	81870	23567	1	null
-171225	照发	65536	29031	3	{v=0}
-171227	转氨酶	65536	218786	3	{n=1}
-171228	死于	87572	27515	1	null
-171231	小苗	65536	23567	3	{n=1}
-171238	打拍	91393	25171	1	null
-171239	赠本	65536	36192	3	{n=0}
-171241	猪獾	65536	29482	3	{n=0}
-171245	干鲜	82603	24178	1	null
-171246	横坐	98900	27178	1	null
-171247	死亡	96753	27515	2	{v=41, vn=8}
-171250	零零落	129691	225479	1	null
-171251	长征三号甲	65536	161300	3	{nz=2}
-171252	打招	93143	25171	1	null
-171253	赠机	65536	36192	3	{n=1, v=0}
-171254	键盘	141031	38190	2	{n=2}
-171256	教职	96793	25945	2	{j=1}
-171257	销毁	65536	38144	3	{v=31, vn=0}
-171258	日报	89426	26085	2	{n=48, v=0, vn=0}
-171260	盐肤	111287	30416	1	null
-171264	请柬	65536	35831	3	{n=2}
-171268	熟道	65536	29087	3	{n=0}
-171269	皇姑	116245	30343	2	{ns=1}
-171270	长三甲	65536	218554	3	{j=12}
-171272	死人	65536	27515	3	{n=1, v=0}
-171276	打拳	65536	25171	3	{v=0}
-171277	高挑挑	65536	234476	3	{z=0}
-171278	随意肌	65536	215873	3	{n=0}
-171280	税捐	65536	31246	3	{n=0}
-171281	部长级	65536	196363	3	{b=5}
-171282	方盒	65536	26041	3	{n=1}
-171283	贬词	65536	36140	3	{n=0}
-171288	歌谣	65536	27468	3	{n=2}
-171289	迂见	65536	36802	3	{n=0}
-171293	驻地	65536	39547	3	{n=10}
-171294	腰椎	108940	33136	2	{n=1}
-171295	议定	132972	35758	2	{v=0}
-171296	手舞	78273	25163	1	null
-171301	死仗	65536	27515	3	{n=0}
-171302	歌谱	65536	27468	3	{n=0}
-171303	满城	110070	28385	2	{ns=0}
-171305	领导有	138859	211904	1	null
-171310	规模	131256	35268	2	{b=1, c=0, d=7, n=268, vn=0}
-171313	艺术馆	65536	168482	3	{n=3}
-171315	泥煤	65536	27877	3	{n=0}
-171316	赊销	65536	36170	3	{v=0, vn=0}
-171317	痛打	65536	30171	3	{v=0}
-171323	鹰窠	128735	40560	1	null
-171324	小茴	67722	23567	1	null
-171328	提货	95912	25552	2	{v=0, vn=0}
-171331	踏板	65536	36367	3	{n=1}
-171332	至极	65536	33267	3	{v=2}
-171334	春瘟	65536	26149	3	{n=0}
-171339	贼船	65536	36156	3	{n=0}
-171341	锚缆	65536	38170	3	{n=0}
-171344	明摆	90319	26126	1	null
-171345	闸皮	65536	38392	3	{n=0}
-171346	新世	89222	26032	1	null
-171348	述补	65536	36848	3	{b=0}
-171350	鸿儒	65536	40511	3	{nr=0}
-171352	新东	95813	26032	1	null
-171354	甜面	98274	29980	1	null
-171355	满堂	110002	28385	2	{n=4}
-171358	教育	97948	25945	2	{n=0, v=99, vn=579}
-171359	打捆	88348	25171	1	null
-171363	领导权	65536	211904	3	{n=1}
-171364	被冤	125308	34987	1	null
-171365	风和日暖	65536	165129	3	{i=0}
-171366	遂行	65536	36930	3	{v=0}
-171367	鱼鳞松	65536	235312	3	{n=0}
-171369	武侠	102629	27494	2	{n=7, nr=0}
-171372	雁来	130796	38593	1	null
-171373	文思	65536	25991	3	{n=0}
-171376	贬谪	65536	36140	3	{vn=0}
-171378	死伤	65536	27515	3	{v=0, vn=0}
-171380	缺欠	65536	32570	3	{n=0, vn=0}
-171381	闸盒	65536	38392	3	{n=0}
-171382	残片	65536	27531	3	{n=0}
-171383	打捞	65536	25171	3	{v=1}
-171384	武侯	104898	27494	1	null
-171385	航炮	65536	33322	3	{n=0}
-171388	手艺	94397	25163	2	{n=5}
-171390	自由市	125496	216161	1	null
-171392	馨香	65536	39336	3	{n=0}
-171393	霸气	65536	38712	3	{an=0, n=0}
-171394	排风	91731	25490	1	null
-171395	饮恨	65536	39278	3	{v=0}
-171397	新义	95218	26032	1	null
-171399	心算	65536	24515	3	{v=1, vn=1}
-171402	趣谈	65536	36259	3	{n=0}
-171404	新乐	95183	26032	2	{ns=0}
-171407	被减	125853	34987	1	null
-171408	提起	65536	25552	3	{v=29}
-171410	肠道	65536	32928	3	{n=0}
-171411	赞皇	133608	36190	1	null
-171413	没心	102996	27809	1	null
-171416	机房	65536	26426	3	{n=2}
-171418	灵动	65536	28789	3	{a=1, v=0}
-171419	靖西	142506	38742	1	null
-171421	新乡	95185	26032	2	{ns=1}
-171426	新书	65536	26032	3	{n=6}
-171427	购汇	65536	36141	3	{v=1, vn=0}
-171428	机手	65536	26426	3	{n=0}
-171430	胸椎	65536	33016	3	{n=0}
-171431	缓释	65536	32531	3	{v=0}
-171432	蛙鸣	65536	34521	3	{n=0}
-171433	镂空	65536	38210	3	{v=0, vn=0}
-171437	释然	65536	37322	3	{z=0}
-171440	糖块	65536	31958	3	{n=0}
-171442	毒瘤	65536	27602	3	{n=1}
-171445	蜜腺	65536	34588	3	{n=0}
-171447	灰姑	109307	28784	1	null
-171450	食用菌	65536	218401	3	{n=2}
-171451	打探	65536	25171	3	{v=0}
-171452	文恬	91280	25991	1	null
-171455	通信网	65536	213037	3	{n=2}
-171458	打掩	89528	25171	1	null
-171459	颅骨	65536	39045	3	{n=0}
-171460	轻装简行	65536	156733	3	{l=1}
-171463	观察面	65536	181102	3	{n=0}
-171466	总长	65536	24635	3	{n=11}
-171468	毒瘾	65536	27602	3	{n=2}
-171470	朝阳	101475	26397	2	{n=6, ns=9}
-171471	敌酋	65536	25932	3	{n=0}
-171473	新井	65536	26032	3	{nr=0}
-171475	树苗	65536	26641	3	{n=5}
-171476	瓦檐	65536	29926	3	{n=1}
-171478	毛哗	105307	27611	1	null
-171481	登高	110464	30331	2	{v=5, vn=4}
-171483	查查	65536	26597	3	{v=0}
-171487	福华	65536	31119	3	{nz=0}
-171488	新交	65536	26032	3	{n=0, v=0}
-171491	话家	129371	35805	1	null
-171492	小菜	65536	23567	3	{n=1}
-171495	贫富	129928	36139	2	{n=10}
-171498	汇鸿	65536	27719	3	{nz=0}
-171500	黄皮寡	137805	235996	1	null
-171501	贫寒	65536	36139	3	{a=5}
-171502	通讯网	65536	228347	3	{n=0}
-171504	收益	88295	25910	2	{n=43, v=3}
-171505	莫扎	120412	33707	1	null
-171508	赌客	65536	36172	3	{n=0}
-171509	迸裂	65536	36856	3	{v=0}
-171510	新人	97781	26032	2	{n=32, nr=0}
-171511	收监	65536	25910	3	{v=0}
-171512	遵照	65536	36981	3	{p=1, v=3}
-171513	窗玻	111552	31383	1	null
-171514	缩编	65536	32553	3	{v=3}
-171515	木工	65536	26408	3	{n=1}
-171517	男爵	65536	30007	3	{n=0}
-171518	收盘	97656	25910	2	{v=26, vn=3}
-171520	成议	65536	25104	3	{n=0}
-171522	高高挂	130810	248755	1	null
-171523	新仇	93178	26032	1	null
-171527	黏住	65536	40655	3	{v=0}
-171528	木已	97780	26408	1	null
-171533	铸石	65536	38136	3	{n=0}
-171534	钩虫	65536	38057	3	{n=0}
-171537	谐音	65536	35856	3	{n=2, v=0}
-171539	默默无闻	65536	174567	3	{i=8}
-171542	页眉	65536	39029	3	{n=0}
-171543	颠来	144506	39072	1	null
-171545	走马赴	135084	222115	1	null
-171549	雁栖	134972	38593	1	null
-171550	打搅	65536	25171	3	{v=0}
-171552	环视	65536	29615	3	{v=1}
-171554	自由度	65536	216161	3	{n=1}
-171555	灯台	65536	28783	3	{n=0}
-171557	小萝	85706	23567	1	null
-171559	醇芳	65536	37255	3	{a=1}
-171561	醉生	132612	37257	1	null
-171562	泥牛	108128	27877	1	null
-171564	核战	104428	26680	1	null
-171566	查核	65536	26597	3	{v=0}
-171567	死信	65536	27515	3	{n=3}
-171569	收看	65536	25910	3	{v=6, vn=1}
-171572	迹象	65536	36857	3	{n=15}
-171573	鳞次	140746	40158	1	null
-171574	纳闷	65536	32435	3	{v=0}
-171575	新任	65536	26032	3	{b=14, d=1, v=0}
-171579	职权	65536	32844	3	{n=28}
-171581	暗紫	88301	26263	1	null
-171582	查案	65536	26597	3	{v=6}
-171583	成语	65536	25104	3	{n=0}
-171584	歌赋	65536	27468	3	{n=1}
-171586	蹦蹦跳	119713	156044	1	null
-171590	成说	65536	25104	3	{n=0}
-171591	目视	65536	30446	3	{v=0}
-171593	看守	117525	30475	2	{n=0, v=2, vn=4}
-171600	访问	130959	35775	2	{v=165, vn=93}
-171604	裂隙	65536	35010	3	{n=1}
-171606	新会	95201	26032	2	{ns=1}
-171609	查档	65536	26597	3	{v=0}
-171611	舌蝇	65536	33292	3	{n=0}
-171612	新传	65536	26032	3	{n=0}
-171613	满处	65536	28385	3	{d=0}
-171614	酱色	65536	37233	3	{n=0}
-171615	打摆	91407	25171	1	null
-171616	被加	125855	34987	1	null
-171617	能歌	125111	33021	1	null
-171618	赚钱	65536	36186	3	{a=0, v=10}
-171619	随遇而	139584	227961	1	null
-171622	诈骗	123936	35784	2	{v=2, vn=9}
-171623	树荫	65536	26641	3	{n=3}
-171624	被动	131014	34987	2	{a=13, ad=2, an=1}
-171626	总队	74570	24635	2	{n=29}
-171629	鸿利	65536	40511	3	{nz=0}
-171632	述要	65536	36848	3	{n=1}
-171633	求治	65536	27714	3	{v=1}
-171635	认可	65536	35748	3	{v=10, vn=12}
-171636	闭塞	65536	38381	3	{a=5, an=0, v=3, vn=1}
-171639	看家	113296	30475	2	{b=0, v=2}
-171641	小葱	65536	23567	3	{n=1}
-171642	村级	65536	26449	3	{b=20}
-171643	缺氧	65536	32570	3	{v=1, vn=4}
-171645	核扩	98579	26680	1	null
-171647	陕甘	139391	38485	2	{j=0}
-171648	雌老	129006	38604	1	null
-171649	色光	65536	33394	3	{n=0}
-171650	满天	105384	28385	2	{n=3}
-171651	馆名	65536	39302	3	{n=0}
-171652	皇子	65536	30343	3	{n=0}
-171656	缺水	107388	32570	2	{v=6, vn=2}
-171657	黄梅戏	65536	232371	3	{n=1}
-171658	新低	65536	26032	3	{n=3}
-171659	自由式	65536	216161	3	{b=1}
-171660	纳降	65536	32435	3	{v=0}
-171661	满头	108706	28385	2	{n=4}
-171663	树莓	65536	26641	3	{n=0}
-171664	认同	128106	35748	2	{v=5, vn=9}
-171665	明文	85580	26126	1	null
-171666	赌局	65536	36172	3	{n=0}
-171668	核技	98124	26680	1	null
-171669	新余	95202	26032	2	{ns=1}
-171671	村组	65536	26449	3	{n=3}
-171672	新作	65536	26032	3	{n=7}
-171677	着迷	65536	30528	3	{v=0}
-171678	钱其	130619	38065	1	null
-171680	木床	65536	26408	3	{n=3}
-171681	躲让	65536	36530	3	{v=0}
-171684	霉烂	65536	38665	3	{v=2}
-171685	邻省	65536	37051	3	{n=0}
-171686	甲丑	65536	30002	3	{m=0}
-171692	闪开	65536	38378	3	{v=0}
-171693	总院	65536	24635	3	{n=2}
-171695	锄草	65536	38148	3	{v=3}
-171696	武僧	65536	27494	3	{n=1}
-171697	杂耍	65536	26434	3	{n=0, v=0}
-171699	轴距	65536	36724	3	{n=0}
-171701	轧路	65536	36711	3	{v=0}
-171702	查检	65536	26597	3	{v=2}
-171703	明断	65536	26126	3	{v=0}
-171704	时疫	65536	26102	3	{n=0}
-171705	朝霞	65536	26397	3	{n=2}
-171706	转业费	65536	211092	3	{n=0}
-171711	邦联	65536	37030	3	{n=0}
-171713	求洋	65536	27714	3	{v=0}
-171714	韭黄	65536	38893	3	{n=0}
-171715	木庭	65536	26408	3	{nr=0}
-171717	眉飞	104976	30473	1	null
-171718	开绿	81454	24320	1	null
-171719	龙门寺	65536	238999	3	{ns=0}
-171722	袋鼠	65536	34955	3	{n=1}
-171723	遥遥领	137954	174299	1	null
-171725	朝露	65536	26397	3	{n=0}
-171726	馆员	65536	39302	3	{n=8}
-171728	繁缛	65536	32321	3	{a=0}
-171729	败仗	65536	36133	3	{n=0}
-171730	母语	65536	27597	3	{n=1}
-171732	让贤	65536	35753	3	{v=0}
-171735	甜食	65536	29980	3	{n=0}
-171736	皇室	65536	30343	3	{n=1}
-171737	马赛曲	65536	241117	3	{n=0}
-171738	译意	114230	35793	1	null
-171739	打擂	93297	25171	1	null
-171743	皇宫	65536	30343	3	{n=1}
-171745	没意	103686	27809	1	null
-171747	鳄鱼衫	65536	167347	3	{n=1}
-171748	歌路	65536	27468	3	{n=0}
-171749	风动石	65536	226010	3	{n=0}
-171751	小蓟	65536	23567	3	{n=0}
-171754	皇家	65536	30343	3	{n=10}
-171756	脸皮	125838	33080	2	{n=1}
-171757	松毛	89389	26494	1	null
-171759	明日	80206	26126	2	{t=5}
-171762	馋涎	138339	39307	1	null
-171763	明早	65536	26126	3	{t=0}
-171766	税收	114968	31246	2	{n=100, vn=0}
-171771	赎身	65536	36174	3	{v=0}
-171772	核拨	65536	26680	3	{v=2}
-171775	胆囊	117799	32966	2	{n=2}
-171777	认命	65536	35748	3	{v=0}
-171778	高压服	65536	230502	3	{n=0}
-171779	驻外	65536	39547	3	{vn=9}
-171780	脸盆	120688	33080	2	{n=1, q=0}
-171781	电子论	65536	192405	3	{n=0}
-171783	比方	65536	27604	3	{c=0, n=0, v=2}
-171785	盐花	65536	30416	3	{n=0}
-171787	进化论	65536	206493	3	{n=2}
-171790	页码	65536	39029	3	{n=0}
-171793	总集	65536	24635	3	{n=0}
-171794	迂论	65536	36802	3	{n=0}
-171795	裁边	65536	35009	3	{vn=1}
-171796	贺岁	125565	36154	2	{v=1, vn=5}
-171797	被单	65536	34987	3	{n=0}
-171798	脸盘	65536	33080	3	{n=0}
-171799	黄泥河	129800	233491	2	{ns=3}
-171800	明明	90524	26126	2	{d=3}
-171801	职校	65536	32844	3	{j=0}
-171804	足球队	65536	169350	3	{n=4}
-171806	开罗	65536	24320	3	{ns=44}
-171808	被占	112788	34987	2	{vn=1}
-171812	锈迹	65536	38152	3	{n=2}
-171814	松气	65536	26494	3	{v=0}
-171815	被卧	65536	34987	3	{n=0}
-171817	明星	65536	26126	3	{n=43, nz=0}
-171818	甘汞	65536	29976	3	{n=0}
-171820	骚扰	65536	39578	3	{v=4}
-171821	焦耳	65536	28966	3	{n=0, q=0}
-171822	讨论题	65536	177509	3	{n=0}
-171823	胆固	109361	32966	1	null
-171824	西北麓	65536	209871	3	{s=1}
-171825	紧要	121983	32039	2	{a=1}
-171828	计划表	65536	170367	3	{n=2}
-171830	脸相	65536	33080	3	{n=0}
-171831	甲亢	105728	30002	2	{n=0}
-171832	赏识	65536	36175	3	{v=1, vn=0}
-171833	秋地	65536	31179	3	{n=0}
-171834	甲亥	65536	30002	3	{m=0}
-171835	酣醉	65536	37219	3	{v=0}
-171837	高新技	140317	235147	1	null
-171838	缩聚	65536	32553	3	{v=0}
-171844	点歌	65536	28857	3	{v=0}
-171848	明显	99589	26126	2	{a=123, ad=115}
-171849	杂肥	65536	26434	3	{n=0}
-171850	松永	65536	26494	3	{nr=0}
-171851	风雨无	126861	243482	1	null
-171853	明晃	94689	26126	1	null
-171855	板锉	65536	26495	3	{n=0}
-171856	针刺	119535	38024	1	null
-171857	无上	98956	26080	2	{z=0}
-171860	无不	65536	26080	3	{d=27, v=0}
-171861	无与	99506	26080	1	null
-171862	驶抵	65536	39542	3	{v=0}
-171864	针剂	65536	38024	3	{n=0}
-171866	难民营	65536	218897	3	{n=0}
-171868	排骨	65536	25490	3	{n=0}
-171871	文戏	65536	25991	3	{n=0}
-171873	无业	65536	26080	3	{b=0}
-171874	重庆路	65536	219884	3	{ns=0}
-171875	预算法	65536	225358	3	{n=0}
-171876	明晚	65536	26126	3	{t=0}
-171877	驿道	65536	39551	3	{n=0}
-171878	推销	95528	25512	2	{v=7, vn=2}
-171880	树葬	65536	26641	3	{n=0}
-171881	谈天	118197	35848	2	{v=1, vn=0}
-171882	跟班	65536	36319	3	{n=0, v=0, vd=1}
-171883	雏燕	65536	38607	3	{n=0}
-171887	魏晋	65536	39759	3	{j=0}
-171889	松江	102363	26494	2	{ns=0}
-171890	明晨	65536	26126	3	{t=0}
-171892	无中	89790	26080	1	null
-171893	板锯	65536	26495	3	{n=0}
-171895	成败	93148	25104	2	{n=5, vn=0}
-171897	月终	65536	26376	3	{t=0}
-171898	明晰	65536	26126	3	{a=3, an=0, v=5, vn=0}
-171899	钙肥	65536	38041	3	{n=0}
-171900	打散	65536	25171	3	{v=0}
-171904	月经	97978	26376	2	{n=10}
-171905	无为	86998	26080	1	null
-171906	放空	91506	25918	2	{v=0}
-171907	报警	95427	25253	2	{v=12, vn=12}
-171908	明智	100829	26126	2	{a=5, an=1}
-171909	甘油	98202	29976	2	{n=0}
-171912	黎族	65536	40654	3	{nz=12}
-171914	猪瘟	65536	29482	3	{n=8}
-171918	饱和溶	137596	176542	1	null
-171919	文房	96549	25991	1	null
-171920	毒砂	65536	27602	3	{n=0}
-171921	甜香	65536	29980	3	{a=0}
-171923	驱散	65536	39537	3	{v=5, vn=0}
-171924	辣蒿	122969	36771	1	null
-171925	甘泉	65536	29976	3	{n=1}
-171933	文才	65536	25991	3	{n=1}
-171935	让路	65536	35753	3	{v=2}
-171938	魄散	127390	39748	1	null
-171943	校歌	65536	26657	3	{n=1}
-171944	死党	65536	27515	3	{n=0}
-171946	驳斥	65536	39539	3	{v=0, vn=1}
-171947	被叫	65536	34987	3	{v=2, vn=0}
-171949	总面	81627	24635	1	null
-171951	贯通	65536	36143	3	{v=6, vn=0}
-171952	打斗	85531	25171	2	{v=2}
-171954	议席	65536	35758	3	{n=3}
-171956	暗红	65536	26263	3	{b=1, z=0}
-171957	打斜	65536	25171	3	{d=0}
-171961	铱金	129269	38129	1	null
-171964	驯服	65536	39535	3	{a=0, v=0, vn=0}
-171966	校正	65536	26657	3	{v=4}
-171972	阿布穆	128555	217030	1	null
-171973	日数	65536	26085	3	{n=0}
-171974	打断	65536	25171	3	{v=2}
-171975	黎明	141716	40654	2	{nr=0, nz=1, t=5}
-171976	酱菜	65536	37233	3	{n=0}
-171977	毛囊	97995	27611	2	{n=0}
-171979	皇岗	65536	30343	3	{ns=4}
-171981	闷棍	65536	38391	3	{n=0}
-171982	魁星	65536	39745	3	{n=0}
-171983	粮票	65536	31918	3	{n=1}
-171984	豪壮	65536	35946	3	{a=0}
-171985	高压柜	65536	230502	3	{n=5}
-171986	无事	95253	26080	1	null
-171988	锦囊	138101	38182	2	{n=0}
-171992	来犯	65536	26469	3	{v=0, vn=1}
-171996	日文	65536	26085	3	{nz=1}
-171997	算算	65536	31639	3	{v=0}
-171998	平鱼	65536	24179	3	{n=0}
-171999	饲槽	65536	39282	3	{n=0}
-172001	没戏	65536	27809	3	{v=1}
-172002	没成	103476	27809	1	null
-172003	平鲁	88041	24179	1	null
-172006	日斑	65536	26085	3	{n=0}
-172007	甘洛	115370	29976	2	{ns=0}
-172014	无产	87013	26080	1	null
-172016	打旗	65536	25171	3	{v=0}
-172017	飞行日	65536	227781	3	{n=1}
-172022	鳞波	65536	40158	3	{n=0}
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-172029	河狸	65536	27827	3	{n=0}
-172030	灰尘	99420	28784	2	{n=3}
-172032	钓竿	65536	38035	3	{n=1}
-172033	无人	98487	26080	2	{b=1}
-172036	设法	65536	35774	3	{v=12, vd=0}
-172037	日新	94095	26085	1	null
-172038	机播	65536	26426	3	{v=0, vn=0}
-172040	无仁	93716	26080	1	null
-172041	蜡丸	65536	34593	3	{n=0}
-172042	被告	131690	34987	2	{n=10, v=0}
-172043	静静的	65536	219036	3	{z=3}
-172044	音乐会	65536	215259	3	{n=99}
-172045	组组	65536	32452	3	{q=1}
-172046	日方	65536	26085	3	{n=6}
-172048	组织	128405	32452	2	{n=388, v=389, vn=53}
-172049	暗绿	65536	26263	3	{b=0}
-172050	明月	65536	26126	3	{n=1}
-172052	报请	65536	25253	3	{v=3, vn=0}
-172053	无从	99821	26080	2	{d=4}
-172057	猪皮	65536	29482	3	{n=0}
-172059	痛改	115603	30171	1	null
-172060	防护罩	65536	220855	3	{n=0}
-172062	顽抗	65536	39037	3	{v=0}
-172065	明朗	99604	26126	2	{a=5, an=0}
-172066	进口货	65536	206698	3	{n=1}
-172070	阴阳生	65536	228831	3	{n=0}
-172071	明朝	65536	26126	3	{nr=0, t=3}
-172073	邮政车	65536	202135	3	{n=0}
-172075	质优	134344	36136	1	null
-172076	无以	99804	26080	2	{d=2}
-172077	钱包	65536	38065	3	{n=1}
-172078	板门	99675	26495	1	null
-172080	武剧	65536	27494	3	{n=0}
-172082	蓬门	116895	34028	1	null
-172084	粮种	65536	31918	3	{n=1}
-172085	明末	92710	26126	2	{t=2}
-172088	提速	65536	25552	3	{v=4, vn=2}
-172089	辩证逻	120228	170650	1	null
-172090	日日	97667	26085	2	{d=0, j=0, q=2}
-172093	隔音纸	65536	200415	3	{n=0}
-172094	无价	99775	26080	2	{v=0, vn=0}
-172095	艺界	65536	33402	3	{n=0}
-172097	订正	65536	35746	3	{v=0}
-172100	骈文	65536	39560	3	{n=0}
-172101	骑手	65536	39569	3	{n=0}
-172102	醉眼	65536	37257	3	{n=0}
-172105	韩江	65536	38889	3	{nz=0}
-172106	粮秣	65536	31918	3	{n=0}
-172107	方程	95288	26041	2	{n=0}
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-172110	残生	65536	27531	3	{n=0}
-172111	本世	90614	26412	1	null
-172112	轧辊	65536	36711	3	{n=1}
-172113	物镜	65536	29289	3	{n=0}
-172115	烧料	65536	28903	3	{n=0}
-172118	训练馆	65536	165407	3	{n=1}
-172119	灰山	91852	28784	1	null
-172124	醒酒	65536	37266	3	{v=0}
-172126	隔离线	65536	192679	3	{n=0}
-172127	死刑	96971	27515	2	{n=15}
-172128	肺鱼	65536	32954	3	{n=0}
-172129	黑云母	65536	227455	3	{n=0}
-172130	集训队	65536	219380	3	{n=4}
-172132	武力	65536	27494	3	{n=26}
-172133	诱惑	132537	35825	2	{v=5, vn=15}
-172135	繁育	65536	32321	3	{v=4, vn=5}
-172136	武功	65536	27494	3	{n=6, nz=0}
-172137	隧道	65536	38567	3	{n=16}
-172138	曲阜	97757	26354	2	{ns=0}
-172139	无伤	96997	26080	1	null
-172142	毛坯	65536	27611	3	{n=0}
-172143	明来	94615	26126	1	null
-172144	林贝	65536	26519	3	{nr=0}
-172147	着重	117158	30528	2	{ad=0, d=0, v=29, vd=0}
-172148	本主	102243	26412	1	null
-172149	粮税	65536	31918	3	{n=0}
-172150	香蕉水	65536	232306	3	{n=0}
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-172173	踝骨	65536	36381	3	{n=0}
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-172206	推陈	96114	25512	1	null
-172208	新兴	92824	26032	2	{b=36, n=0, nr=0, ns=3, nz=3, v=0}
-172209	新兵	65536	26032	3	{n=14}
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-172212	明枪	94620	26126	1	null
-172213	泥瓦	107688	27877	1	null
-172214	心细	65536	24515	3	{a=0}
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-172218	韵母	65536	38901	3	{n=0}
-172219	青天霹	125193	219789	1	null
-172220	胶布	65536	33014	3	{n=0}
-172221	鳖边	65536	40150	3	{n=0}
-172223	眉高	107852	30473	1	null
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-172226	赏赐	65536	36175	3	{n=0, v=0}
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-172228	本事	65536	26412	3	{n=2}
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-172236	日晷	65536	26085	3	{n=0}
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-172238	心绞	81731	24515	1	null
-172239	总预	81204	24635	1	null
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-172244	资本金	65536	193429	3	{n=2}
-172247	新军	65536	26032	3	{n=1}
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-172255	胶带	65536	33014	3	{n=0}
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-172258	板障	65536	26495	3	{n=0}
-172259	述说	65536	36848	3	{v=1, vn=0}
-172260	无依	93743	26080	1	null
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-172264	总额	65536	24635	3	{n=82}
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-172266	纵断	104687	32437	1	null
-172267	条鳎	65536	26465	3	{n=0}
-172268	歌迷	65536	27468	3	{n=0}
-172269	残疾	106318	27531	2	{n=16, v=0}
-172270	贺幛	65536	36154	3	{n=0}
-172271	明查	94623	26126	1	null
-172272	质保	134496	36136	1	null
-172273	收秋	65536	25910	3	{v=0}
-172274	春秋	86270	26149	2	{n=16, t=2}
-172275	本人	65536	26412	3	{n=0, r=35}
-172276	春种	65536	26149	3	{v=1}
-172279	递水	65536	36882	3	{v=1}
-172280	开脱	65536	24320	3	{v=3}
-172281	赠款	65536	36192	3	{n=1, v=1, vn=1}
-172287	男男	113283	30007	1	null
-172288	死劲	105534	27515	1	null
-172291	日暮	83603	26085	1	null
-172293	金属膜	65536	220704	3	{n=2}
-172294	果盘	65536	26524	3	{n=0}
-172295	贺年	133481	36154	2	{v=3, vn=4}
-172298	限定	131287	38480	2	{v=5, vn=1}
-172300	针叶	133678	38024	2	{n=1}
-172301	打更	65536	25171	3	{v=0}
-172304	踏歌	65536	36367	3	{n=0}
-172305	祖辈	65536	31062	3	{n=3}
-172306	贝伦	130266	36125	1	null
-172310	杂色	65536	26434	3	{n=0}
-172312	武协	65536	27494	3	{j=1}
-172313	飞行服	65536	227781	3	{n=0}
-172315	开腔	65536	24320	3	{v=1}
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-172325	秋夜	65536	31179	3	{t=1}
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-172328	触觉	65536	35302	3	{n=0}
-172329	踏步	65536	36367	3	{v=1}
-172335	纪念碑	65536	157968	3	{n=8}
-172336	雌花	65536	38604	3	{n=0}
-172337	触角	65536	35302	3	{n=1}
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-172348	战袍	65536	25112	3	{n=0}
-172350	至死	128049	33267	1	null
-172351	航空队	65536	173893	3	{n=0}
-172352	粮站	65536	31918	3	{n=2}
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-172355	报账	65536	25253	3	{v=0, vn=0}
-172356	王爷	65536	29579	3	{n=0}
-172357	飞来石	65536	219358	3	{ns=0}
-172358	新刊	65536	26032	3	{n=1}
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-172362	核收	65536	26680	3	{v=1}
-172363	拉西	95822	25289	1	null
-172364	贫弱	65536	36139	3	{a=0}
-172365	果真	65536	26524	3	{c=2, d=2}
-172367	机时	65536	26426	3	{n=0}
-172368	穿行	65536	31359	3	{v=4}
-172369	皇帝	65536	30343	3	{n=6}
-172370	莫斯	118537	33707	1	null
-172371	核政	92968	26680	1	null
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-172374	请求	65536	35831	3	{n=8, v=10, vn=3}
-172375	曲霉	65536	26354	3	{n=0}
-172377	王牌	65536	29579	3	{n=4, nz=0}
-172379	打杂	65536	25171	3	{v=0}
-172380	胆大	125368	32966	2	{a=0}
-172381	日月	97575	26085	2	{n=5}
-172384	素不	112278	32032	1	null
-172385	打杈	65536	25171	3	{v=0}
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-172393	流于	105119	27969	1	null
-172394	知疼	108371	30693	1	null
-172398	败兴	65536	36133	3	{a=0, ad=0}
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-172404	日期	65536	26085	3	{n=19}
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-172417	日本	98228	26085	2	{ns=498}
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-172428	本体	87286	26412	2	{n=4}
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-172451	新剧	65536	26032	3	{n=0}
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-172740	辨证	65536	36776	3	{a=0, vd=0}
-172744	春管	65536	26149	3	{j=0}
-172745	辨识	65536	36776	3	{v=2}
-172746	腹足	115506	33145	1	null
-172747	死命	65536	27515	3	{d=0, n=0}
-172748	顽固派	65536	169089	3	{n=0}
-172751	返工	65536	36820	3	{v=0}
-172754	游人	108138	28216	2	{n=14}
-172755	顽敌	65536	39037	3	{n=0}
-172757	机杼	65536	26426	3	{n=0}
-172758	曲颈	91861	26354	1	null
-172761	谨防	65536	35880	3	{v=4}
-172765	机构	65536	26426	3	{n=389}
-172768	顿涅	131213	39039	1	null
-172772	紧贴	65536	32039	3	{v=1}
-172773	福塔	106511	31119	1	null
-172774	打棍	91415	25171	1	null
-172775	浮价	102421	28014	1	null
-172776	心胸	65536	24515	3	{n=1}
-172777	诱捕	65536	35825	3	{v=0}
-172779	无冤	93787	26080	1	null
-172780	点滴	65536	28857	3	{a=0, m=0, n=2, q=0, vn=0}
-172785	游仙	95256	28216	1	null
-172786	阿尔派	65536	216535	3	{nz=0}
-172788	灵堂	65536	28789	3	{n=2}
-172789	营帐	65536	33829	3	{n=0}
-172790	鞭策	65536	38829	3	{v=3, vn=3}
-172791	街景	65536	34903	3	{n=0}
-172795	新县	65536	26032	3	{ns=4}
-172796	暗自	65536	26263	3	{d=3}
-172797	煤井	65536	29028	3	{n=0}
-172798	活便	65536	27963	3	{a=0}
-172799	心脏	81775	24515	2	{n=14}
-172801	心脑	77054	24515	1	null
-172802	鹅掌	128521	40517	1	null
-172803	机枪	65536	26426	3	{n=0}
-172806	死咸	65536	27515	3	{z=0}
-172807	艺研	123229	33402	1	null
-172808	没收	65536	27809	3	{v=28, vn=1}
-172810	小褂	86261	23567	2	{n=1}
-172813	缺点	65536	32570	3	{n=3}
-172815	机架	65536	26426	3	{n=0}
-172817	败北	65536	36133	3	{v=2}
-172820	闷气	65536	38391	3	{an=2}
-172821	风景点	65536	231073	3	{n=1}
-172822	方糖	65536	26041	3	{n=0}
-172824	繁荣	122256	32321	2	{a=39, ad=0, an=38, nz=0, v=43, vn=25}
-172825	开荒	65536	24320	3	{v=3, vn=0}
-172826	蜡光	118759	34593	1	null
-172833	跃脚	129214	36291	1	null
-172835	月色	65536	26376	3	{n=0}
-172838	灯壳	65536	28783	3	{n=0}
-172840	新召	85807	26032	2	{nr=0}
-172841	灯壶	65536	28783	3	{n=0}
-172846	香港湾	144577	226392	1	null
-172849	种养	120452	31181	2	{v=2, vn=0}
-172850	新叶	92851	26032	1	null
-172851	高山族	65536	232780	3	{nz=4}
-172852	无凭	93790	26080	1	null
-172856	闭门谢	138116	187390	1	null
-172857	雨花石	65536	215326	3	{n=0}
-172858	金钱草	65536	235123	3	{n=0}
-172859	毒箭	65536	27602	3	{n=0}
-172861	蜜蜂	65536	34588	3	{n=1}
-172862	顺风球	65536	230835	3	{n=0}
-172864	辽沈	131908	36797	2	{j=0}
-172865	驼毛	65536	39548	3	{n=0}
-172866	鸿图	65536	40511	3	{n=0}
-172867	汉朝	65536	27721	3	{t=0}
-172868	运动病	65536	182535	3	{n=0}
-172869	残砖	95612	27531	1	null
-172870	灵塔	65536	28789	3	{n=0}
-172872	树行	101049	26641	1	null
-172873	新名	83512	26032	1	null
-172874	鉴定者	65536	164008	3	{n=1}
-172876	游伴	65536	28216	3	{n=0}
-172877	颠沛	137041	39072	1	null
-172878	鸡蛋清	65536	227742	3	{n=0}
-172879	成都	90127	25104	2	{n=0, ns=49}
-172882	译文	65536	35793	3	{n=1}
-172889	音乐剧	65536	215259	3	{n=2}
-172892	文昌	94723	25991	2	{ns=0}
-172894	文明	102095	25991	2	{a=168, ad=5, an=2, n=188, nr=0}
-172896	无则	98720	26080	1	null
-172897	黄色炸	134433	239008	1	null
-172899	残破	65536	27531	3	{v=1, vn=0}
-172902	接风	89092	25509	2	{v=0}
-172903	灯头	65536	28783	3	{n=0}
-172905	心腹	91902	24515	2	{n=0}
-172906	手表	65536	25163	3	{n=2}
-172907	辽河	65536	36797	3	{ns=1}
-172908	秋季	65536	31179	3	{t=7}
-172910	郑重	138221	37073	2	{a=19, ad=15}
-172912	无利	98395	26080	1	null
-172919	躲避	65536	36530	3	{v=1}
-172922	肠阻	123808	32928	1	null
-172924	消亡	65536	28040	3	{v=2, vn=2}
-172925	文昭	97956	25991	1	null
-172926	纪念章	65536	157968	3	{n=2}
-172932	暗色	65536	26263	3	{n=1}
-172933	胆子	65536	32966	3	{n=4}
-172935	时空	65536	26102	3	{n=16}
-172940	革命派	65536	166562	3	{n=1}
-172941	手袋	65536	25163	3	{n=0}
-172942	课期	65536	35838	3	{t=0}
-172943	紧跟	112311	32039	2	{v=4}
-172944	鲁克	139460	40065	1	null
-172954	报载	65536	25253	3	{v=1}
-172955	课本	65536	35838	3	{n=10}
-172956	零售点	65536	208639	3	{n=1}
-172958	闯祸	65536	38383	3	{v=0}
-172959	锡矿	65536	38177	3	{n=0}
-172967	霉病	65536	38665	3	{n=0}
-172968	木排	65536	26408	3	{n=0}
-172969	灰心	112378	28784	2	{a=0, v=0}
-172970	沉毅	65536	27785	3	{a=1}
-172971	股评	65536	32929	3	{v=0}
-172972	输卵	125223	36755	1	null
-172973	象话	65536	35937	3	{a=0}
-172976	核果	65536	26680	3	{n=0}
-172979	边防连	65536	210301	3	{n=0}
-172984	游侠	65536	28216	3	{n=0}
-172987	载客	65536	36733	3	{v=2, vn=1}
-172989	放纵	65536	25918	3	{v=1, vn=0}
-172990	长毛绒	65536	226188	3	{n=0}
-172992	打榧	91417	25171	1	null
-172993	谣风	65536	35875	3	{n=0}
-172994	泥石	101000	27877	1	null
-172995	暗花	65536	26263	3	{n=0}
-172996	郁郁葱	125139	175314	1	null
-172997	购物	133638	36141	2	{v=17, vn=15}
-172998	采访记	65536	210845	3	{n=0}
-173001	雌蕊	65536	38604	3	{n=0}
-173002	进气道	65536	212891	3	{n=0}
-173004	小规	79892	23567	1	null
-173006	小视	65536	23567	3	{v=0}
-173007	责任状	65536	159811	3	{n=9}
-173008	隔离舱	65536	192679	3	{n=0}
-173010	豪峰	65536	35946	3	{nz=0}
-173013	靖边	142510	38742	1	null
-173015	迟误	65536	36831	3	{v=0}
-173017	小觑	65536	23567	3	{v=1}
-173020	高峰期	65536	232907	3	{n=6}
-173021	甲午	110769	30002	2	{b=0, m=0, t=0}
-173023	营建	65536	33829	3	{v=1}
-173024	蓬首	128094	34028	1	null
-173025	骂架	65536	39554	3	{v=0}
-173026	无力	97650	26080	2	{a=0, d=0, v=10, vd=1, vn=0}
-173027	横幅	65536	27178	3	{n=10}
-173030	无功	98427	26080	1	null
-173031	求爱	65536	27714	3	{v=0}
-173032	设点	65536	35774	3	{v=6, vn=0}
-173034	连环计	65536	216730	3	{n=0}
-173035	小解	65536	23567	3	{v=0}
-173037	间接选	141640	182361	1	null
-173039	无动	99786	26080	1	null
-173040	无助	99790	26080	2	{a=1, an=0, v=0}
-173041	松烟	65536	26494	3	{n=0}
-173044	莫桑	122138	33707	1	null
-173048	靖远	142515	38742	2	{ns=0}
-173049	核查	92092	26680	2	{v=8, vn=133}
-173051	查清	65536	26597	3	{v=10}
-173052	餐具	138978	39184	2	{n=1}
-173053	新品	88121	26032	2	{n=0}
-173056	满座	65536	28385	3	{v=2}
-173059	耍贫	123752	32781	1	null
-173060	甲卯	65536	30002	3	{m=0}
-173062	驶来	65536	39542	3	{v=1}
-173063	胆寒	65536	32966	3	{v=0}
-173064	黑板擦	65536	233837	3	{n=0}
-173065	机械	103580	26426	2	{a=1, ad=0, d=0, n=59}
-173066	江段	65536	27743	3	{n=0}
-173070	活像	65536	27963	3	{v=3}
-173071	输变	126869	36755	1	null
-173072	村落	65536	26449	3	{n=5}
-173073	铝排	65536	38109	3	{n=7}
-173074	骄子	65536	39556	3	{n=3}
-173075	福如	120233	31119	1	null
-173077	贝利	65536	36125	3	{nr=0}
-173078	限度	65536	38480	3	{n=29}
-173079	骗术	65536	39575	3	{n=3}
-173081	沉水	101256	27785	1	null
-173083	放缓	65536	25918	3	{v=5}
-173084	高压氧	65536	230502	3	{n=5}
-173086	报送	65536	25253	3	{v=2}
-173092	流光	101222	27969	1	null
-173093	项目	143327	39033	2	{n=506, vn=0}
-173102	耍赖	115442	32781	2	{v=0}
-173105	武器	102004	27494	2	{n=138}
-173107	电子部	65536	192405	3	{n=0, nt=6}
-173108	来看	65536	26469	3	{v=1}
-173109	横店	65536	27178	3	{nz=0}
-173111	朝鲜	97765	26397	2	{ns=32, nz=0}
-173112	松焦	95982	26494	1	null
-173116	痛楚	65536	30171	3	{n=2}
-173119	本分	102905	26412	2	{a=0, n=2}
-173120	流入	107227	27969	2	{v=26, vn=9}
-173121	迭起	65536	36845	3	{v=1}
-173122	文曲	92665	25991	1	null
-173123	本刊	65536	26412	3	{r=0}
-173124	胆小	123723	32966	2	{a=0}
-173125	阿比让	138473	220567	2	{ns=6}
-173133	收紧	65536	25910	3	{v=1}
-173137	雕栏	133844	38613	1	null
-173139	毛孔	65536	27611	3	{n=0}
-173143	核桃	104387	26680	2	{n=4}
-173145	赔账	65536	36180	3	{v=0}
-173147	紧身	116459	32039	2	{n=1}
-173152	辐射计	65536	156868	3	{n=0}
-173153	此间	65536	27492	3	{f=0, r=107}
-173154	本利	65536	26412	3	{n=0}
-173155	点火	110481	28857	2	{v=5, vn=1}
-173159	点灯	65536	28857	3	{v=3}
-173160	毛孩	103435	27611	2	{n=0}
-173161	来着	65536	26469	3	{u=0, y=0}
-173163	闭幕	141326	38381	2	{v=23, vn=4}
-173165	明正	100037	26126	1	null
-173166	沉沉	65536	27785	3	{z=2}
-173168	报道	65536	25253	3	{n=54, v=671, vn=28}
-173171	高中级	65536	229128	3	{b=3, j=3}
-173174	放置	65536	25918	3	{v=7, vn=0}
-173175	音乐厅	65536	215259	3	{n=28}
-173176	目迷	117884	30446	1	null
-173177	镜匣	65536	38236	3	{n=0}
-173178	秋山	65536	31179	3	{nr=0}
-173180	文本	92826	25991	2	{n=1}
-173181	颗粒物	65536	164948	3	{n=0}
-173182	活儿	65536	27963	3	{n=10}
-173186	目送	65536	30446	3	{v=2}
-173189	果穗	65536	26524	3	{n=0}
-173190	沉没	65536	27785	3	{v=4, vn=0}
-173193	江水	65536	27743	3	{n=2}
-173195	沉沦	65536	27785	3	{v=0}
-173196	贝加	130761	36125	1	null
-173197	江永	106498	27743	1	null
-173199	馋猫	142413	39307	1	null
-173202	放羊	65536	25918	3	{v=1}
-173204	镜匾	65536	38236	3	{n=0}
-173205	无华	65536	26080	3	{a=1}
-173206	鬓毛	65536	39699	3	{n=0}
-173214	江汉	65536	27743	3	{ns=2}
-173215	贝劳	65536	36125	3	{ns=0}
-173216	本剧	65536	26412	3	{r=4}
-173217	心花	87353	24515	2	{n=0}
-173220	自然村	65536	215142	3	{n=8}
-173221	薄弱	124018	34180	2	{a=55}
-173222	照实	65536	29031	3	{d=1}
-173223	猪笼	100889	29482	1	null
-173225	驱逐舰	65536	182848	3	{n=5}
-173227	鹦鹉热	65536	186499	3	{n=0}
-173228	满当	107132	28385	1	null
-173230	毒素	65536	27602	3	{n=0}
-173233	点点	109767	28857	2	{d=0, n=0, q=1, v=1}
-173235	过路财	126192	226527	1	null
-173236	比武	65536	27604	3	{v=0, vn=0}
-173237	毛家	98527	27611	1	null
-173239	话把	65536	35805	3	{n=0}
-173240	钉耙	65536	38025	3	{n=0}
-173242	自由放	127609	216161	1	null
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-173244	新喀	81980	26032	1	null
-173245	餐券	65536	39184	3	{n=0}
-173248	文杰	65536	25991	3	{nz=0}
-173251	雕梁	133414	38613	1	null
-173257	渔轮	65536	28180	3	{n=5}
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-173261	饰物	65536	39280	3	{n=0}
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-173267	甲吾	110594	30002	1	null
-173268	证婚	133063	35777	2	{v=0}
-173269	流出	108718	27969	2	{v=7, vn=0}
-173271	点烟	65536	28857	3	{v=0}
-173272	新喜	65536	26032	3	{n=1}
-173275	没有	92468	27809	2	{d=357, v=574}
-173280	诱敌	125546	35825	2	{v=0}
-173282	须生	65536	39035	3	{n=0}
-173284	音乐史	65536	215259	3	{n=1}
-173285	酿蜜	65536	37247	3	{v=0}
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-173290	高压泵	65536	230502	3	{n=0}
-173291	质变	65536	36136	3	{n=3}
-173292	着陆	65536	30528	3	{v=3, vn=1}
-173297	饥民	65536	39269	3	{n=0}
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-173300	被头	65536	34987	3	{n=0}
-173303	译本	65536	35793	3	{n=3}
-173304	霸王	142740	38712	2	{n=4}
-173310	税款	65536	31246	3	{n=11}
-173314	点焊	106182	28857	2	{n=0}
-173315	武场	65536	27494	3	{n=0}
-173316	流利	65536	27969	3	{a=5, ad=0}
-173318	酥麻	65536	37221	3	{v=0}
-173320	江河	101854	27743	2	{n=3}
-173322	拉贾	89859	25289	1	null
-173323	接驳	85550	25509	1	null
-173324	照射	103496	29031	2	{v=7, vn=0}
-173325	速滑	122336	36895	2	{n=2, v=1, vn=10}
-173326	江油	103879	27743	1	null
-173329	绞车	65536	32478	3	{n=0}
-173330	逗点	65536	36887	3	{n=0}
-173331	素净	65536	32032	3	{a=0}
-173334	驴皮	141904	39540	1	null
-173335	被套	65536	34987	3	{n=0}
-173336	总鳍	72793	24635	1	null
-173337	童男	110092	31461	2	{n=0}
-173338	牙疳	65536	29273	3	{n=0}
-173340	满心	65536	28385	3	{d=0}
-173341	退伍费	65536	206841	3	{n=1}
-173343	横征	99242	27178	1	null
-173345	金玉良	124666	226635	1	null
-173346	比比	96376	27604	2	{v=0}
-173348	武坛	65536	27494	3	{n=3}
-173350	曲高	100189	26354	1	null
-173352	死囚	65536	27515	3	{n=0}
-173353	骑术	65536	39569	3	{n=0}
-173355	难舍难离	65536	163184	3	{l=1}
-173358	死因	65536	27515	3	{n=0}
-173362	读者	121235	35835	2	{n=224}
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-173366	无可	100014	26080	2	{d=1, v=0}
-173369	浮光	104357	28014	1	null
-173370	雇用	65536	38599	3	{v=3, vn=1}
-173374	鳞爪	65536	40158	3	{n=0}
-173376	接骨	65536	25509	3	{v=0}
-173378	牙痛	65536	29273	3	{vn=1}
-173379	赏金	65536	36175	3	{n=0}
-173381	活分	65536	27963	3	{a=1}
-173382	镜台	65536	38236	3	{n=0}
-173384	辽源	132964	36797	2	{n=0}
-173387	焦虑	113014	28966	2	{a=4, an=1}
-173389	贝卡	65536	36125	3	{n=0}
-173393	轰轰	127775	36720	1	null
-173394	江泽	100284	27743	1	null
-173395	沉浮	65536	27785	3	{v=2, vn=2}
-173396	无名	100038	26080	2	{b=3, v=0}
-173397	无后	65536	26080	3	{v=0}
-173399	民丰	65536	27665	3	{nz=0}
-173401	满怀	111092	28385	2	{n=0, v=4}
-173403	鳞片	65536	40158	3	{n=0}
-173405	沉浸	65536	27785	3	{v=14}
-173408	江洋	105132	27743	1	null
-173410	民主	107923	27665	2	{a=92, ad=12, an=42, n=0, vn=0}
-173411	迈进	65536	36808	3	{v=23}
-173413	看护	65536	30475	3	{n=0, v=1, vn=1}
-173414	看报	65536	30475	3	{v=1, vn=0}
-173415	纵横	123364	32437	2	{n=2, nz=0, v=7, vd=0, vn=0}
-173416	轧钢	135036	36711	2	{v=0}
-173421	销售点	65536	165478	3	{n=1}
-173422	残稿	65536	27531	3	{n=0}
-173423	活到	96663	27963	1	null
-173425	须疮	65536	39035	3	{n=0}
-173427	本区	65536	26412	3	{r=1, s=0}
-173431	民乐	105559	27665	2	{n=11}
-173434	江津	103894	27743	2	{nr=0, ns=1}
-173435	附加税	65536	188982	3	{n=0}
-173437	看押	65536	30475	3	{v=0, vn=0}
-173438	死地	65536	27515	3	{n=1}
-173440	钱塘	132601	38065	1	null
-173441	雌蜂	65536	38604	3	{n=0}
-173443	流动	105871	27969	2	{v=29, vd=1, vn=38}
-173444	魔力	65536	39764	3	{n=1}
-173446	黎母	65536	40654	3	{ns=1}
-173449	报酬	85998	25253	2	{n=15}
-173451	瓦片	65536	29926	3	{n=0}
-173452	游兴	65536	28216	3	{n=0}
-173454	放肆	65536	25918	3	{a=1, an=1}
-173456	熟食	65536	29087	3	{n=3}
-173457	锋芒	135784	38155	2	{n=4}
-173458	糖弹	65536	31958	3	{n=0}
-173459	每逢	65536	27599	3	{v=21}
-173460	门诊部	65536	228921	3	{n=1}
-173462	江流	65536	27743	3	{n=0, nr=0}
-173463	武城	104777	27494	1	null
-173464	文案	65536	25991	3	{n=1}
-173467	紧迫	118228	32039	2	{a=4, an=1}
-173468	鲁南	145939	40065	2	{j=1}
-173472	浮冰	65536	28014	3	{n=0}
-173477	沉淀	107096	27785	2	{n=1, v=2, vn=0}
-173478	活剧	65536	27963	3	{n=0}
-173481	明沟	65536	26126	3	{n=0}
-173485	紧追	122860	32039	1	null
-173486	江浙	65536	27743	3	{j=0, nz=1}
-173487	木料	65536	26408	3	{n=2}
-173490	民事	100564	27665	2	{b=11}
-173491	文档	65536	25991	3	{n=0}
-173493	统统	65536	32479	3	{d=6}
-173496	小记	65536	23567	3	{n=2}
-173498	无味	65536	26080	3	{a=3}
-173499	点燃	65536	28857	3	{v=9, vn=0}
-173500	障眼	135260	38556	1	null
-173501	瓦特	65536	29926	3	{nr=0, q=0}
-173502	身无长	126949	210614	1	null
-173503	荣立	65536	33635	3	{v=11}
-173504	马斯特	128766	230961	1	null
-173505	蜡台	65536	34593	3	{n=0}
-173509	明治	65536	26126	3	{nz=2}
-173510	馆子	65536	39302	3	{n=0}
-173511	蜡叶	65536	34593	3	{n=1}
-173514	黎民	137832	40654	2	{n=1}
-173516	江海	105400	27743	2	{n=1, nz=0}
-173518	放胆	65536	25918	3	{v=0}
-173523	明泉	65536	26126	3	{ns=0}
-173524	战败	92036	25112	2	{v=0}
-173525	小词	65536	23567	3	{n=0}
-173527	黏土	65536	40655	3	{n=1}
-173528	本原	65536	26412	3	{n=1}
-173529	收纳	65536	25910	3	{vn=0}
-173530	活力	65536	27963	3	{n=86}
-173531	认字	65536	35748	3	{v=0}
-173533	小试	77793	23567	2	{j=0}
-173536	镂花	65536	38210	3	{vn=0}
-173537	计年	65536	35745	3	{vn=1}
-173538	贝叶	127694	36125	1	null
-173540	牙白	112106	29273	1	null
-173542	赏鉴	65536	36175	3	{v=0}
-173543	活动	112530	27963	2	{a=4, an=0, m=0, v=19, vn=1025}
-173544	转瞬间	65536	221734	3	{t=0}
-173545	跌跌	129978	36300	1	null
-173548	紧逼	65536	32039	3	{v=0, vd=0, vn=0}
-173549	打比	88753	25171	1	null
-173551	遁词	65536	36929	3	{n=0}
-173553	流化	105358	27969	1	null
-173554	活劳	108285	27963	1	null
-173560	本县	65536	26412	3	{r=2}
-173562	运输费	65536	198130	3	{n=0}
-173564	小说	87010	23567	2	{n=32}
-173566	酷虐	65536	37239	3	{a=0}
-173567	腹部	65536	33145	3	{n=5}
-173569	跌跤	65536	36300	3	{v=0}
-173571	谈心	133787	35848	2	{v=3, vn=2}
-173574	邀请	138810	36992	2	{v=63, vn=43}
-173575	提问	65536	25552	3	{v=2, vn=7}
-173576	沉渣	65536	27785	3	{n=1}
-173578	餐厅	65536	39184	3	{n=12}
-173579	小调	65536	23567	3	{n=0}
-173580	民以	87866	27665	1	null
-173583	遮荫	65536	36974	3	{v=0}
-173587	游击	109758	28216	2	{b=6}
-173588	赋闲	65536	36171	3	{v=1}
-173589	猪粪	65536	29482	3	{n=0}
-173590	马赛港	65536	241117	3	{ns=0}
-173591	新四	98424	26032	1	null
-173592	证实	65536	35777	3	{v=24, vn=6}
-173594	福安	116171	31119	1	null
-173595	游刃	104683	28216	1	null
-173596	豪强	65536	35946	3	{n=0}
-173598	认定	132904	35748	2	{v=23, vn=6}
-173599	春绸	65536	26149	3	{n=0}
-173600	长寿菜	65536	222128	3	{n=0}
-173601	鬃毛	65536	39683	3	{n=0}
-173605	连阴雨	65536	225567	3	{n=0}
-173608	明洞	65536	26126	3	{ns=0}
-173610	黔驴技	137090	188150	1	null
-173613	打气	83226	25171	2	{v=0, vn=0}
-173618	鸭儿	140771	40493	1	null
-173619	沉湎	90954	27785	2	{v=0}
-173620	时紧	94618	26102	1	null
-173621	木星	65536	26408	3	{n=8}
-173622	霞石	65536	38686	3	{n=0}
-173623	灰扑	107221	28784	1	null
-173625	薄情	113607	34180	2	{a=0}
-173628	收编	65536	25910	3	{v=0, vn=0}
-173630	民众	106179	27665	2	{n=43}
-173632	酋长	136912	37195	2	{n=0}
-173635	江淮	102864	27743	2	{j=19}
-173638	本名	65536	26412	3	{n=0}
-173641	责任田	65536	159811	3	{n=2}
-173642	针头	127738	38024	2	{n=0}
-173643	提防	65536	25552	3	{v=0}
-173646	小豆	65536	23567	3	{n=0}
-173647	收缩	65536	25910	3	{v=7, vn=0}
-173652	鲸油	65536	40120	3	{n=0}
-173653	活化	98743	27963	2	{v=1}
-173654	收缰	65536	25910	3	{v=0}
-173656	温厚	65536	28201	3	{a=0, an=0}
-173658	收缴	65536	25910	3	{v=12, vn=0}
-173659	月薪	65536	26376	3	{n=2}
-173663	贴膏	65536	36148	3	{n=0}
-173665	钱夹	65536	38065	3	{n=0}
-173666	输入额	65536	172444	3	{n=0}
-173667	河神	65536	27827	3	{n=0}
-173668	胃镜	65536	32963	3	{n=0}
-173669	新圩	81101	26032	1	null
-173670	黄金时	147927	242943	1	null
-173672	满意	107315	28385	2	{an=0, v=81, vd=0, vn=6}
-173675	紧邻	65536	32039	3	{n=0, v=0}
-173678	礼节	115231	31036	2	{n=2}
-173680	教规	65536	25945	3	{n=0}
-173685	贷款额	65536	158884	3	{n=2}
-173688	打江	91132	25171	1	null
-173691	烧毁	65536	28903	3	{v=5}
-173692	新址	65536	26032	3	{n=1}
-173693	收罗	65536	25910	3	{v=0}
-173702	高空槽	65536	240469	3	{n=0}
-173704	灯展	65536	28783	3	{n=4}
-173707	浮力	65536	28014	3	{n=0}
-173709	秋庄	109120	31179	1	null
-173710	穿越	65536	31359	3	{v=11, vn=1}
-173712	福寿	120057	31119	1	null
-173713	顿然	65536	39039	3	{d=2}
-173717	税法	65536	31246	3	{n=2}
-173719	福将	65536	31119	3	{n=1}
-173720	浮动	109659	28014	2	{v=9, vn=15}
-173722	赞美	127586	36190	2	{v=3, vn=2}
-173724	青山秀	136163	220629	1	null
-173725	礼花	65536	31036	3	{n=19}
-173727	沉溺	65536	27785	3	{v=2}
-173728	镇咳药	65536	195197	3	{n=0}
-173729	频段	65536	39057	3	{n=1}
-173730	纵步	65536	32437	3	{d=0, n=0}
-173733	福尔	100711	31119	1	null
-173734	黄连素	65536	242444	3	{n=0}
-173735	校牌	65536	26657	3	{n=1}
-173737	谋求	65536	35851	3	{v=24, vn=0}
-173739	江湖	88394	27743	2	{n=7}
-173740	韧皮	132073	38887	1	null
-173741	男童	65536	30007	3	{n=3}
-173742	温台	65536	28201	3	{ns=0}
-173743	查点	65536	26597	3	{vn=2}
-173744	赴难	65536	36212	3	{v=0}
-173746	手记	65536	25163	3	{n=4}
-173748	武士	89270	27494	2	{n=12}
-173750	本命	98887	26412	1	null
-173751	果粉	65536	26524	3	{n=0}
-173758	流口	101862	27969	1	null
-173759	自由权	65536	216161	3	{n=1}
-173760	游动	109327	28216	2	{v=3, vd=0, vn=1}
-173761	镇静药	65536	212259	3	{n=0}
-173762	韬略	65536	38892	3	{n=1}
-173764	议政	65536	35758	3	{v=0, vn=0}
-173765	现世	65536	29616	3	{n=0, v=0}
-173766	购销额	65536	181852	3	{n=2}
-173767	新型	65536	26032	3	{a=3, b=65, n=0}
-173772	须眉	65536	39035	3	{n=1}
-173776	武备	65536	27494	3	{n=0}
-173778	打油	79004	25171	1	null
-173780	诱杀	65536	35825	3	{v=0}
-173781	求生	65536	27714	3	{v=1, vn=0}
-173782	航程	65536	33322	3	{n=4}
-173783	锁簧	65536	38145	3	{n=0}
-173785	统考	65536	32479	3	{v=1, vn=0}
-173788	温吞	103258	28201	1	null
-173789	运动神	124848	182535	1	null
-173792	脸红	65536	33080	3	{v=0}
-173793	暗藏	65536	26263	3	{v=1}
-173796	鼓风管	65536	218234	3	{n=0}
-173798	求田	89384	27714	1	null
-173800	锦州	136988	38182	2	{ns=5}
-173802	鹬鸵	65536	40556	3	{n=0}
-173804	流向	65536	27969	3	{n=5, v=8, vn=1}
-173805	灰指	102389	28784	1	null
-173806	打法	65536	25171	3	{n=3}
-173807	手语	65536	25163	3	{n=1}
-173808	武大	65536	27494	3	{j=0}
-173809	灵寿	111015	28789	2	{ns=11}
-173812	武夫	65536	27494	3	{n=1}
-173814	残篇	100450	27531	1	null
-173815	轻工部	65536	206581	3	{j=0}
-173816	高粱面	65536	241036	3	{n=0}
-173817	高山榕	65536	232780	3	{n=0}
-173821	毛巾	100272	27611	2	{n=2}
-173822	民俗	103609	27665	2	{n=11}
-173824	武夷	102553	27494	2	{ns=1}
-173825	童真	65536	31461	3	{n=0}
-173826	毛布	65536	27611	3	{n=0}
-173828	果糖	65536	26524	3	{n=0}
-173829	谈情	118210	35848	1	null
-173831	莫此	129739	33707	1	null
-173834	新城	95253	26032	2	{n=1}
-173835	赔还	65536	36180	3	{v=0}
-173837	障碍	133833	38556	2	{n=44, v=0, vn=0}
-173838	王码	65536	29579	3	{j=0, nz=0}
-173839	明清	65536	26126	3	{t=4}
-173840	被子	124949	34987	2	{n=7}
-173842	违犯	65536	36829	3	{v=1}
-173844	饥渴	65536	39269	3	{a=0, n=2, v=0}
-173845	松球	65536	26494	3	{n=0}
-173846	活受	96831	27963	1	null
-173847	手谕	65536	25163	3	{n=0}
-173849	黄梁美	141192	232367	1	null
-173856	酣饮	65536	37219	3	{v=0}
-173858	活口	65536	27963	3	{n=0}
-173860	营房	65536	33829	3	{n=3}
-173861	鸣放	65536	40483	3	{v=1}
-173865	香港特	144854	226392	1	null
-173866	明渠	65536	26126	3	{n=0}
-173870	小账	65536	23567	3	{n=0}
-173873	小贩	65536	23567	3	{n=5}
-173874	拉车	65536	25289	3	{v=1}
-173876	锡箔	65536	38177	3	{n=1}
-173878	闭门造	124867	187390	1	null
-173879	打洞	88378	25171	1	null
-173880	马尾藻	65536	228544	3	{n=0}
-173883	此风	65536	27492	3	{r=3}
-173884	春耕	98371	26149	2	{n=1, v=1, vn=5}
-173885	软骨鱼	65536	224708	3	{n=0}
-173886	浮华	65536	28014	3	{a=1, an=0}
-173888	照常	65536	29031	3	{d=0, v=1, vd=0}
-173889	小费	65536	23567	3	{n=1, nr=0}
-173890	木本	96005	26408	2	{b=6}
-173892	苍白	65536	33485	3	{a=1, ad=0}
-173893	航空	133920	33322	2	{n=87}
-173895	缩衣	111214	32553	1	null
-173897	败坏	65536	36133	3	{v=10}
-173898	温和	102994	28201	2	{a=5, nr=0}
-173904	逻辑设	122836	158578	1	null
-173906	载弹	119459	36733	1	null
-173907	游医	65536	28216	3	{n=1}
-173909	防水纸	65536	223303	3	{n=0}
-173910	洗钱	65536	27927	3	{v=1, vn=0}
-173919	打浆	88381	25171	2	{v=0}
-173920	明湖	65536	26126	3	{ns=1}
-173922	骨质疏	140025	228854	1	null
-173923	灵山	65536	28789	3	{ns=0}
-173924	蛋青	121068	34507	2	{b=0}
-173926	木材	65536	26408	3	{n=13}
-173928	来稿	65536	26469	3	{n=8, v=5}
-173932	新堰	65536	26032	3	{ns=0}
-173936	蚕食	110899	34453	2	{v=3, vn=0}
-173937	遵章	135368	36981	1	null
-173939	被害	131695	34987	2	{v=0, vn=0}
-173940	着风	65536	30528	3	{v=0}
-173943	木条	65536	26408	3	{n=2}
-173945	现今	65536	29616	3	{t=5}
-173946	核武	102438	26680	2	{j=0}
-173947	春联	65536	26149	3	{n=34}
-173948	贩黄	65536	36137	3	{v=1}
-173949	趣闻	65536	36259	3	{n=3}
-173950	煤化	109002	29028	1	null
-173953	贴花	65536	36148	3	{n=0}
-173955	豁达	131382	35905	2	{a=4, an=0}
-173956	母钟	65536	27597	3	{n=0}
-173961	汉正	92925	27721	1	null
-173962	秋征	65536	31179	3	{n=0}
-173964	汉武	103736	27721	1	null
-173967	算草	65536	31639	3	{n=0}
-173970	现代	115229	29616	2	{n=0, nz=5, t=231}
-173973	木板	98705	26408	2	{n=5}
-173975	风景画	65536	231073	3	{n=1}
-173979	灵岩	104386	28789	1	null
-173980	照应	65536	29031	3	{v=0}
-173981	拉近	95849	25289	1	null
-173982	游历	65536	28216	3	{v=3}
-173983	死契	65536	27515	3	{n=0}
-173985	打消	65536	25171	3	{v=4}
-173987	温哥	109636	28201	1	null
-173988	航站	121227	33322	2	{j=16, n=0}
-173990	现价	65536	29616	3	{n=0}
-173991	豪情	131507	35946	2	{n=6}
-173992	须知	65536	39035	3	{n=4, v=2, vn=0}
-173994	现任	65536	29616	3	{b=11, v=9, vn=0}
-173995	木枕	65536	26408	3	{n=0}
-173996	满打	103162	28385	1	null
-173998	照度	65536	29031	3	{n=0}
-174002	迭部	136464	36845	1	null
-174003	鄙薄	65536	37145	3	{v=0}
-174006	男篮	65536	30007	3	{j=0, n=17}
-174012	活命	109411	27963	2	{v=0, vn=0}
-174013	耐酸	65536	32784	3	{an=0}
-174017	黄金村	65536	242943	3	{ns=0}
-174021	甲地	65536	30002	3	{n=2}
-174022	小趾	65536	23567	3	{n=0}
-174023	迟迟	127739	36831	2	{d=11}
-174024	横截	86794	27178	1	null
-174026	武威	65536	27494	3	{nr=0, ns=4}
-174027	鸿宇	65536	40511	3	{nz=5}
-174028	春肥	65536	26149	3	{n=0}
-174029	颓然	65536	39059	3	{z=0}
-174031	铝材	65536	38109	3	{n=0}
-174033	成长	65536	25104	3	{v=33, vn=22}
-174041	小跑	65536	23567	3	{v=1}
-174042	新增	65536	26032	3	{v=39}
-174044	计息	65536	35745	3	{v=0}
-174049	遮蔽	65536	36974	3	{v=0, vn=0}
-174050	笑剧	65536	31505	3	{n=0}
-174052	新墨	84122	26032	1	null
-174055	肠骨	65536	32928	3	{n=0}
-174056	甘甜	65536	29976	3	{a=0, an=1}
-174058	煤厂	65536	29028	3	{n=0}
-174061	闷热	65536	38391	3	{a=1, an=0}
-174062	赝鼎	65536	36189	3	{n=0}
-174065	消化	98141	28040	2	{v=21, vn=8}
-174067	质因	128607	36136	1	null
-174068	薄技	65536	34180	3	{n=0}
-174071	小路	65536	23567	3	{n=3}
-174072	跌进	65536	36300	3	{v=1}
-174074	浮吊	65536	28014	3	{n=0}
-174075	点球	65536	28857	3	{n=3, v=0, vn=0}
-174077	浮名	65536	28014	3	{n=1}
-174078	祖陵	65536	31062	3	{n=0}
-174080	门庭若	137421	217372	1	null
-174082	繁衍	65536	32321	3	{v=2, vn=0}
-174083	牙碜	65536	29273	3	{v=0}
-174085	蜡嘴	112609	34593	1	null
-174087	木柱	65536	26408	3	{n=0}
-174088	谢却	65536	35874	3	{v=0}
-174089	横扫	104235	27178	2	{v=1}
-174090	木柴	65536	26408	3	{n=1}
-174092	本嗓	65536	26412	3	{n=0}
-174096	长方脸	65536	224618	3	{n=0}
-174098	机油	65536	26426	3	{n=0}
-174099	开行	65536	24320	3	{v=19, vn=0}
-174100	话旧	65536	35805	3	{v=0}
-174101	战车	65536	25112	3	{n=2}
-174103	横批	65536	27178	3	{n=5}
-174104	靠背轮	65536	190721	3	{n=0}
-174107	木栅	65536	26408	3	{n=0}
-174109	牛乳	65536	29275	3	{n=0}
-174110	遍访	65536	36941	3	{v=1}
-174111	纵波	65536	32437	3	{n=0}
-174113	鸡犬不留	65536	167465	3	{i=0}
-174114	野外队	65536	207442	3	{n=1}
-174115	赏钱	65536	36175	3	{n=0}
-174117	较量	65536	36739	3	{v=8, vn=7}
-174119	运输车	65536	198130	3	{n=8}
-174120	鸦胆	144168	40486	1	null
-174121	木栓	99275	26408	2	{n=0}
-174122	消协	65536	28040	3	{j=3}
-174124	新声	82990	26032	1	null
-174130	酱豆	126235	37233	1	null
-174133	灯市	65536	28783	3	{n=1}
-174135	汉民	65536	27721	3	{n=0}
-174139	驻扎	65536	39547	3	{v=4}
-174144	成问	75121	25104	1	null
-174146	松田	65536	26494	3	{nr=0}
-174147	质地	65536	36136	3	{n=4}
-174150	鳞甲	65536	40158	3	{n=0}
-174151	时缺	94624	26102	1	null
-174153	横披	65536	27178	3	{n=0}
-174154	心虚	65536	24515	3	{a=1}
-174157	趋长	118646	36235	1	null
-174159	避孕针	65536	166844	3	{n=3}
-174160	税源	65536	31246	3	{n=3}
-174161	打游	93823	25171	1	null
-174162	遥远	65536	36965	3	{a=12, nr=0}
-174165	贼赃	65536	36156	3	{n=0}
-174169	教训	65536	25945	3	{n=47, v=4, vn=7}
-174170	汉水	65536	27721	3	{ns=5}
-174172	木框	65536	26408	3	{n=1}
-174173	逮捕证	65536	158575	3	{n=0}
-174175	方舟	65536	26041	3	{nz=0}
-174177	终身	123465	32456	2	{n=9}
-174178	木桌	65536	26408	3	{n=0}
-174179	新大	93320	26032	1	null
-174180	胆怯	122010	32966	2	{a=0, an=0}
-174181	日渐	65536	26085	3	{d=15}
-174182	无土	93251	26080	1	null
-174185	放荡	98062	25918	2	{a=0}
-174186	针孔	65536	38024	3	{n=0}
-174187	横拍	65536	27178	3	{n=1}
-174188	航管	65536	33322	3	{j=1}
-174191	福州	116184	31119	2	{ns=40}
-174192	蜂起	65536	34562	3	{v=1}
-174193	球体	65536	29699	3	{n=0}
-174195	板鸭	65536	26495	3	{n=0}
-174197	解放路	65536	204500	3	{ns=2}
-174199	无地	86680	26080	1	null
-174202	飞机票	65536	219315	3	{n=1}
-174203	木桥	65536	26408	3	{n=0}
-174206	牛仔	109578	29275	2	{n=3}
-174207	木桩	65536	26408	3	{n=1}
-174208	邪行	65536	37034	3	{a=0}
-174209	黄金树	65536	242943	3	{n=0}
-174211	新奇	65536	26032	3	{a=2}
-174216	色子	65536	33394	3	{n=0}
-174217	开裂	65536	24320	3	{v=0}
-174220	木桶	65536	26408	3	{n=2}
-174221	开裆	75209	24320	1	null
-174222	钱学	133484	38065	1	null
-174223	甲基	65536	30002	3	{n=3}
-174226	明澈	92347	26126	2	{a=0}
-174227	龙骨水	132189	240215	1	null
-174231	无坐	98794	26080	1	null
-174232	糖房	65536	31958	3	{n=0}
-174233	阿拉伯胶	65536	162572	3	{n=0}
-174234	拉郎	78699	25289	1	null
-174236	民兵	65536	27665	3	{n=34}
-174238	教诲	65536	25945	3	{v=3, vn=0}
-174239	收腹	65536	25910	3	{v=0}
-174241	无坚	99965	26080	1	null
-174242	镍都	65536	38221	3	{n=2}
-174250	教课	65536	25945	3	{v=0, vn=0}
-174253	理事	114858	29702	2	{n=9, v=1}
-174255	横挑	84795	27178	1	null
-174257	理亏	65536	29702	3	{v=0}
-174258	消受	65536	28040	3	{v=0}
-174259	文正	97972	25991	1	null
-174261	手足	94510	25163	2	{n=3}
-174262	文武	97983	25991	2	{n=1}
-174263	纯一	65536	32431	3	{a=0}
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-174266	驾机	65536	39550	3	{v=0}
-174270	雷达站	65536	211992	3	{n=1}
-174273	钢丝锯	65536	206319	3	{n=0}
-174275	新妇	65536	26032	3	{n=0}
-174281	木梳	65536	26408	3	{n=0}
-174283	穿过	65536	31359	3	{v=11}
-174285	锦心	128562	38182	1	null
-174287	灵川	111019	28789	2	{ns=2}
-174293	求真	106624	27714	2	{v=1}
-174296	王秋	65536	29579	3	{nr=0}
-174297	灵巧	65536	28789	3	{a=1, an=0}
-174298	灯座	65536	28783	3	{n=0}
-174299	遥遥	132677	36965	2	{z=0}
-174302	钱家	136566	38065	1	null
-174303	木棉	96261	26408	2	{n=2}
-174304	铃虫	65536	38083	3	{n=0}
-174305	酬谢	65536	37228	3	{v=0, vn=1}
-174306	躲闪	65536	36530	3	{v=2}
-174307	木棍	65536	26408	3	{n=4}
-174308	纯中	109743	32431	1	null
-174310	种地	65536	31181	3	{v=5, vn=1}
-174311	无垠	65536	26080	3	{a=0, z=1}
-174312	木棒	65536	26408	3	{n=0}
-174314	打滑	65536	25171	3	{v=0}
-174318	莫测	110127	33707	1	null
-174319	窗纱	65536	31383	3	{n=0}
-174323	打滚	65536	25171	3	{v=0}
-174325	铝桶	65536	38109	3	{n=4}
-174326	窗纸	65536	31383	3	{n=0}
-174330	贱骨	131885	36145	1	null
-174333	获鹿	65536	33719	3	{ns=0}
-174336	鸟语花	128078	202842	1	null
-174339	皇族	65536	30343	3	{n=0}
-174343	统舱	65536	32479	3	{n=0}
-174344	毒腺	65536	27602	3	{n=0}
-174346	高粱饴	65536	241036	3	{n=0}
-174347	正三	90694	27491	1	null
-174349	趋阿	132784	36235	1	null
-174351	针对	135574	38024	2	{p=59, v=46, vn=0}
-174354	趋附	65536	36235	3	{v=0}
-174355	穿透	120153	31359	2	{v=0, vn=0}
-174356	逼视	65536	36924	3	{v=0}
-174358	防护衣	65536	220855	3	{n=1}
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-174361	时而	65536	26102	3	{d=7}
-174363	木椅	65536	26408	3	{n=1}
-174364	正业	65536	27491	3	{n=0}
-174365	报销	65536	25253	3	{v=7, vn=2}
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-174367	面面相	129093	232727	1	null
-174368	轻骑队	65536	222113	3	{n=2}
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-174381	点电	98954	28857	1	null
-174382	纵深	108563	32437	2	{n=4}
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-174387	本固	96545	26412	1	null
-174390	本国	65536	26412	3	{r=47}
-174392	牙科	65536	29273	3	{n=0}
-174395	新姿	65536	26032	3	{n=1}
-174396	理会	65536	29702	3	{v=2}
-174397	逢迎	65536	36898	3	{v=0}
-174404	民初	65536	27665	3	{j=0, t=1}
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-174410	武宁	65536	27494	3	{nr=0}
-174411	正义	101126	27491	2	{n=10}
-174412	辩驳	65536	36777	3	{v=2}
-174415	饮水	143511	39278	2	{n=7, v=1, vn=2}
-174418	武安	102157	27494	2	{ns=0}
-174420	新娘	65536	26032	3	{n=6}
-174421	缺省	124178	32570	1	null
-174424	本土	101813	26412	2	{n=12}
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-174433	武官	65536	27494	3	{n=3}
-174439	话机	65536	35805	3	{n=9}
-174440	正书	65536	27491	3	{n=0}
-174441	本地	101816	26412	2	{n=0, r=49}
-174444	迂阔	65536	36802	3	{a=0, an=0}
-174446	小车	65536	23567	3	{n=9}
-174447	赫鲁	129001	36203	1	null
-174448	进水闸	65536	212923	3	{n=0}
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-174451	量子论	65536	179730	3	{n=0}
-174452	颠狂	65536	39072	3	{a=0}
-174453	明火	95709	26126	2	{n=0}
-174455	歌颂	65536	27468	3	{v=6, vn=0}
-174456	黄浦江	137985	233620	2	{ns=0}
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-174463	武家	103855	27494	1	null
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-174471	小轿	70363	23567	1	null
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-174476	议标	65536	35758	3	{v=0, vn=1}
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-174481	鸣枪	65536	40483	3	{v=3}
-174482	文求	96296	25991	1	null
-174486	新婚	90187	26032	2	{n=3, vn=0}
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-174488	顽民	65536	39037	3	{n=0}
-174489	春色	92811	26149	2	{n=5}
-174490	笑吟	120126	31505	1	null
-174491	求知	100351	27714	2	{v=3, vn=1}
-174492	灯彩	65536	28783	3	{n=0}
-174493	暗袋	65536	26263	3	{n=0}
-174496	金小蜂	65536	220625	3	{n=0}
-174497	驾校	65536	39550	3	{j=3, n=0}
-174500	灯影	65536	28783	3	{n=0}
-174503	树身	65536	26641	3	{n=1}
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-174512	粮草	65536	31918	3	{n=1}
-174513	邻舍	65536	37051	3	{n=0}
-174514	逗留	65536	36887	3	{v=4, vn=0}
-174515	小辫	83699	23567	2	{n=1}
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-174519	链轨	65536	38142	3	{n=0}
-174520	股金	65536	32929	3	{n=5}
-174521	粮荒	65536	31918	3	{n=0}
-174524	正人	104462	27491	1	null
-174525	链轮	65536	38142	3	{n=0}
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-174534	阴谋诡	126457	226231	1	null
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-174537	至理	126523	33267	1	null
-174541	议案	65536	35758	3	{n=2}
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-174545	盛世	65536	30427	3	{n=4, nz=0}
-174550	死守	65536	27515	3	{v=0}
-174552	春花	100888	26149	1	null
-174553	脸膛	65536	33080	3	{n=1}
-174554	风雨灯	65536	243482	3	{n=0}
-174555	集约经	129526	216045	1	null
-174556	看望	65536	30475	3	{v=74, vn=1}
-174557	目镜	65536	30446	3	{n=0}
-174558	麒麟盖	65536	167797	3	{ns=0}
-174560	躲雨	65536	36530	3	{v=0}
-174561	胶木	115021	33014	2	{n=0}
-174562	音乐声	65536	215259	3	{n=1}
-174567	默默无	133144	198783	1	null
-174572	正仪	87783	27491	1	null
-174574	闻风而	140648	182257	1	null
-174575	新媳	96415	26032	1	null
-174576	笑呵	120042	31505	1	null
-174577	话柄	65536	35805	3	{n=0}
-174578	看朱	113306	30475	1	null
-174579	还原铁	65536	187358	3	{n=0}
-174580	猪肉	65536	29482	3	{n=16}
-174582	灯心	99878	28783	2	{n=0}
-174583	骤然	65536	39588	3	{d=5}
-174584	贺来	65536	36154	3	{nr=0}
-174585	盛举	65536	30427	3	{n=1}
-174586	着魔	65536	30528	3	{v=0}
-174588	童稚	65536	31461	3	{n=2}
-174589	新嫁	96276	26032	1	null
-174590	饮泣	144101	39278	2	{v=0}
-174592	河系	65536	27827	3	{n=0}
-174593	遇见	65536	36935	3	{v=1}
-174596	渔钩	65536	28180	3	{n=0}
-174597	猪肚	65536	29482	3	{n=0}
-174598	集邮簿	65536	220661	3	{n=0}
-174600	猪肝	65536	29482	3	{n=0}
-174602	瓦盆	65536	29926	3	{n=0}
-174603	文治	65536	25991	3	{n=0}
-174605	领导班	141525	211904	1	null
-174606	组装	106899	32452	2	{v=9, vn=1}
-174611	论丛	65536	35770	3	{n=0}
-174617	本埠	65536	26412	3	{r=0}
-174619	认得	65536	35748	3	{v=0}
-174622	辞书	65536	36766	3	{n=0}
-174626	正传	65536	27491	3	{n=1}
-174628	骄慢	65536	39556	3	{a=0}
-174629	文法	95432	25991	2	{n=0}
-174630	看来	65536	30475	3	{v=49}
-174631	霎那	125320	38670	1	null
-174632	自然法	65536	215142	3	{n=0}
-174634	问候语	65536	194639	3	{n=0}
-174637	饺子馅	65536	165717	3	{n=0}
-174640	心血	85489	24515	2	{n=30}
-174646	营救	65536	33829	3	{v=4, vn=1}
-174647	无声	94797	26080	2	{d=0, v=9, vd=1, vn=1}
-174648	辅车	126370	36741	1	null
-174650	武山	65536	27494	3	{ns=0}
-174651	比热	101625	27604	2	{n=0}
-174652	辰阳	65536	36784	3	{ns=1}
-174654	木樨	100576	26408	1	null
-174655	毒花	93186	27602	1	null
-174656	贝塔	128306	36125	1	null
-174657	驮篓	65536	39534	3	{n=0}
-174658	量力而行	65536	159789	3	{i=3}
-174659	笑哈	119962	31505	1	null
-174660	高锰酸钾	65536	166990	3	{n=0}
-174661	残编	100453	27531	1	null
-174662	盛事	65536	30427	3	{n=9}
-174663	死对	103502	27515	1	null
-174664	福德	65536	31119	3	{nz=0}
-174665	请电	65536	35831	3	{n=0}
-174667	无处	99973	26080	2	{d=3}
-174669	胆战	122121	32966	1	null
-174670	驯熟	65536	39535	3	{a=0}
-174673	皇朝	65536	30343	3	{n=0}
-174676	杂记	65536	26434	3	{n=1}
-174677	正体	65536	27491	3	{n=0}
-174680	锡纸	65536	38177	3	{n=0}
-174681	烟丝	65536	28895	3	{n=0}
-174683	小道	79037	23567	2	{n=0}
-174685	春茶	65536	26149	3	{n=0}
-174686	活土	105838	27963	1	null
-174690	盛产	65536	30427	3	{v=2, vn=0}
-174692	现况	65536	29616	3	{n=0}
-174696	手车	65536	25163	3	{n=0}
-174697	残缺	106507	27531	2	{v=1, vn=0}
-174699	龙须草	65536	239658	3	{n=0}
-174702	无大	93884	26080	1	null
-174703	活地	100036	27963	1	null
-174704	春草	65536	26149	3	{n=3}
-174705	手软	65536	25163	3	{a=4, v=0}
-174710	武岭	65536	27494	3	{ns=0}
-174711	皇权	65536	30343	3	{n=0}
-174712	无失	99972	26080	1	null
-174713	春荒	65536	26149	3	{n=1}
-174715	无头	98397	26080	1	null
-174717	灰暗	65536	28784	3	{z=1}
-174721	论争	65536	35770	3	{vn=0}
-174724	打火	88386	25171	2	{v=0, vn=0}
-174725	猪脚	65536	29482	3	{n=0}
-174726	死尸	65536	27515	3	{n=0}
-174727	沙丁	88123	27801	1	null
-174728	越位	65536	36234	3	{v=1, vn=0}
-174730	镜头	65536	38236	3	{n=26}
-174731	验伪	139985	39564	1	null
-174733	没治	65536	27809	3	{v=0, vn=0}
-174734	无奇	99992	26080	1	null
-174735	无奈	99669	26080	2	{a=3, an=1, d=7, n=0, v=0}
-174736	运输量	65536	198130	3	{n=0}
-174737	胸痹	65536	33016	3	{vn=1}
-174739	锯蛋	130754	38191	1	null
-174742	春药	65536	26149	3	{n=0}
-174743	鸡冠石	65536	214131	3	{n=0}
-174744	杂说	65536	26434	3	{n=0}
-174745	避雷针	65536	182110	3	{n=0}
-174746	禁不	119894	31105	1	null
-174748	辞令	65536	36766	3	{n=0}
-174749	费用	65536	36153	3	{n=71}
-174750	沙丘	65536	27801	3	{n=2}
-174754	有一	96928	26377	1	null
-174757	高山流	138984	232780	1	null
-174758	限收	65536	38480	3	{v=0}
-174759	没法	107503	27809	2	{d=1, n=0, v=2}
-174761	现出	65536	29616	3	{v=2}
-174762	胶柱	106181	33014	1	null
-174764	杂谈	65536	26434	3	{n=1, vn=0}
-174768	脸色	65536	33080	3	{n=3}
-174769	心裁	65536	24515	3	{n=0}
-174770	话梅	65536	35805	3	{n=1}
-174771	译注	65536	35793	3	{n=0}
-174773	比照	65536	27604	3	{p=0, v=2}
-174775	果肉	65536	26524	3	{n=0}
-174776	每镇	65536	27599	3	{r=8}
-174777	面目皆	125584	224419	1	null
-174778	流域	65536	27969	3	{n=32}
-174779	手边	65536	25163	3	{s=1}
-174781	新宁	97906	26032	1	null
-174784	被开	125824	34987	1	null
-174785	新宅	92907	26032	1	null
-174788	购票	133343	36141	2	{n=0, v=2, vn=1}
-174789	新安	91625	26032	2	{nr=1, ns=2}
-174790	有两	102113	26377	1	null
-174791	打炮	65536	25171	3	{v=0}
-174793	钻井队	65536	176047	3	{n=25}
-174795	无妄	99939	26080	1	null
-174797	烟云	95911	28895	2	{n=0}
-174802	打点	65536	25171	3	{v=0}
-174803	紧锣	119353	32039	1	null
-174804	新官	99380	26032	1	null
-174805	盛会	65536	30427	3	{n=6}
-174807	毒草	65536	27602	3	{n=0}
-174808	母音	65536	27597	3	{n=0}
-174809	麂皮	65536	40578	3	{n=0}
-174810	新实	97059	26032	1	null
-174811	盛传	65536	30427	3	{v=1}
-174812	有为	65536	26377	3	{nr=0, v=1, vn=0}
-174813	收获	80547	25910	2	{n=17, nz=0, v=21, vn=7}
-174815	贝壳	115038	36125	2	{n=0}
-174816	满文	65536	28385	3	{nz=0}
-174819	打烊	65536	25171	3	{v=0}
-174821	牙签	65536	29273	3	{n=0}
-174823	现券	65536	29616	3	{n=0}
-174824	残羹	105406	27531	2	{n=0}
-174826	杂豆	65536	26434	3	{n=0}
-174830	春菇	65536	26149	3	{n=0}
-174831	无妨	65536	26080	3	{v=1}
-174832	陨铁	65536	38504	3	{n=0}
-174833	提高	65536	25552	3	{n=0, v=834, vn=109}
-174834	民友	94165	27665	1	null
-174835	禁书	65536	31105	3	{n=0}
-174836	荣耀	65536	33635	3	{a=2, an=2, nz=0}
-174838	规矩	65536	35268	3	{a=0, n=13}
-174839	阶级	137629	38454	2	{n=16}
-174840	看样	115039	30475	1	null
-174841	贝复	126361	36125	1	null
-174842	新宾	65536	26032	3	{ns=0}
-174843	手迹	65536	25163	3	{n=6}
-174845	毒药	65536	27602	3	{n=0}
-174846	龙须菜	65536	239658	3	{n=0}
-174848	时至	100561	26102	1	null
-174850	新密	95310	26032	1	null
-174853	游园	110815	28216	2	{v=0, vn=1}
-174854	贝多	120893	36125	1	null
-174857	越俎	135370	36234	1	null
-174858	活埋	65536	27963	3	{vn=0}
-174860	灰朦	105998	28784	1	null
-174863	浮土	65536	28014	3	{n=0}
-174866	都行	65536	37117	3	{n=0}
-174868	麸皮	65536	40632	3	{n=0}
-174873	灵性	65536	28789	3	{n=7}
-174875	金丝雀	65536	217055	3	{n=0}
-174877	遐龄	65536	36944	3	{n=0}
-174878	黄粱梦	65536	237535	3	{nz=2}
-174879	赌棍	65536	36172	3	{n=0}
-174880	成风	65536	25104	3	{v=1, vn=0}
-174884	果胶	65536	26524	3	{n=0}
-174885	烧火	65536	28903	3	{v=0}
-174886	色差	65536	33394	3	{n=0}
-174887	鸭嘴	146734	40493	1	null
-174888	满族	65536	28385	3	{nz=29}
-174889	钱币	65536	38065	3	{n=0}
-174891	果能	101154	26524	1	null
-174893	有事	65536	26377	3	{v=3}
-174896	成飞	65536	25104	3	{j=4}
-174900	点眼	98967	28857	1	null
-174902	烧灼	65536	28903	3	{vn=0}
-174907	遵纪	135370	36981	1	null
-174909	有些	65536	26377	3	{d=0, m=0, r=137}
-174910	正值	65536	27491	3	{n=0, p=0, v=12, vn=0}
-174912	苍穹	65536	33485	3	{n=5}
-174914	练鹊	65536	32451	3	{n=0}
-174918	驴皮胶	65536	173334	3	{n=0}
-174920	雕漆	65536	38613	3	{n=0}
-174921	有产	89330	26377	1	null
-174922	毛手	99204	27611	1	null
-174923	横断	101908	27178	1	null
-174924	腰眼	65536	33136	3	{n=0}
-174925	风俗画	65536	225289	3	{n=0}
-174927	本外	99023	26412	1	null
-174929	鹅毛	144840	40517	2	{n=0}
-174931	迎击	65536	36814	3	{v=0}
-174932	釉陶	65536	37321	3	{n=0}
-174934	放虎	93646	25918	1	null
-174937	龙潭虎	137462	229148	1	null
-174938	毒菌	65536	27602	3	{n=0}
-174939	迎刃	124489	36814	1	null
-174940	有人	65536	26377	3	{r=152}
-174941	果脯	65536	26524	3	{n=0}
-174942	色带	65536	33394	3	{n=0}
-174946	轶闻	65536	36726	3	{n=0}
-174949	每间	65536	27599	3	{r=3}
-174951	烧炭	65536	28903	3	{v=0}
-174954	韵白	65536	38901	3	{n=0}
-174955	理光	65536	29702	3	{nz=1}
-174958	现势	65536	29616	3	{n=0}
-174960	核潜	91196	26680	1	null
-174961	禁令	65536	31105	3	{n=4}
-174968	猪舍	65536	29482	3	{n=1}
-174969	开讲	65536	24320	3	{v=0}
-174973	时艰	65536	26102	3	{n=1}
-174975	江猪	65536	27743	3	{n=0}
-174976	打照	76060	25171	1	null
-174977	新居	65536	26032	3	{n=21}
-174978	瓦砾	65536	29926	3	{n=1}
-174979	残联	65536	27531	3	{j=1, n=0}
-174981	开设	65536	24320	3	{v=32, vn=0}
-174983	理入	65536	29702	3	{v=1}
-174985	种姓	65536	31181	3	{n=0}
-174986	航线	65536	33322	3	{n=20}
-174988	照抄	65536	29031	3	{v=1}
-174989	自由民	127803	216161	2	{n=0}
-174991	时节	65536	26102	3	{n=25}
-174992	每队	65536	27599	3	{r=2}
-174993	开诊	65536	24320	3	{v=0}
-174995	报靶	93985	25253	1	null
-174996	致词	65536	33268	3	{n=14, v=1, vn=2}
-174997	邀请赛	65536	173574	3	{n=6}
-175000	进口额	65536	206698	3	{n=2}
-175001	有价	86328	26377	1	null
-175002	误解	65536	35823	3	{n=5, v=5, vn=0}
-175004	镀金	65536	38208	3	{v=2, vn=0}
-175005	活塞	103028	27963	2	{n=1}
-175006	烧烤	65536	28903	3	{v=1, vn=2}
-175009	开诚	86193	24320	1	null
-175010	煤场	65536	29028	3	{n=1}
-175012	民命	65536	27665	3	{n=0}
-175016	纵火	114101	32437	2	{v=1, vn=0}
-175018	牛刀	110024	29275	1	null
-175020	钱庄	65536	38065	3	{n=0, ns=0}
-175021	新山	65536	26032	3	{ns=0}
-175022	武工	87794	27494	2	{n=0}
-175023	鄂西	65536	37122	3	{ns=0}
-175024	败家	131144	36133	1	null
-175027	民和	104025	27665	1	null
-175030	笑嘻	119592	31505	1	null
-175033	煤坑	65536	29028	3	{n=0}
-175034	预防针	65536	232169	3	{n=0}
-175036	日照	99084	26085	2	{n=5, ns=1, vn=0}
-175037	新岁	65536	26032	3	{t=13}
-175038	色庆	128283	33394	1	null
-175039	煤块	65536	29028	3	{n=0}
-175040	隆福	65536	38534	3	{nz=0}
-175043	没深	100496	27809	1	null
-175045	开课	65536	24320	3	{v=0}
-175046	有伤	82991	26377	2	{v=0}
-175047	迈阿	133774	36808	1	null
-175049	闻名遐迩	65536	178715	3	{i=0, l=6}
-175050	照拂	65536	29031	3	{v=1}
-175051	杂货	99149	26434	2	{n=4}
-175052	杂质	65536	26434	3	{n=1}
-175054	机灵	83513	26426	2	{a=1, an=0}
-175056	环靶	65536	29615	3	{n=0}
-175060	小里	83514	23567	1	null
-175061	齿冠	65536	40831	3	{n=0}
-175062	小野	65536	23567	3	{nr=0}
-175063	小量	65536	23567	3	{m=1}
-175065	小金	82875	23567	1	null
-175067	青山绿	136166	220629	1	null
-175069	杂费	65536	26434	3	{n=1}
-175070	色度	65536	33394	3	{n=0}
-175076	赔钱	118866	36180	2	{v=3, vn=0}
-175077	甲子	65536	30002	3	{m=0}
-175080	民品	65536	27665	3	{n=3}
-175081	致谢	111300	33268	2	{v=5}
-175083	点石	107511	28857	1	null
-175085	输家	65536	36755	3	{n=0}
-175088	牙粉	65536	29273	3	{n=0}
-175090	糖料	65536	31958	3	{n=1}
-175091	高岭石	65536	232840	3	{n=0}
-175093	鄙视	65536	37145	3	{v=0, vn=0}
-175095	有何	102133	26377	1	null
-175099	有余	65536	26377	3	{m=3, v=2}
-175103	递眼	124901	36882	1	null
-175104	败将	65536	36133	3	{n=0}
-175111	机炮	89925	26426	2	{n=0}
-175112	开豁	65536	24320	3	{a=0}
-175114	郊野	65536	37066	3	{n=1}
-175116	流失	65536	27969	3	{v=23, vn=30}
-175121	灵感	65536	28789	3	{n=5}
-175124	非工程	65536	222068	3	{b=1}
-175128	禁例	65536	31105	3	{n=0}
-175131	阔绰	65536	38420	3	{a=0}
-175133	魔头	65536	39764	3	{n=0}
-175134	返朴	133024	36820	1	null
-175136	豪放	134295	35946	2	{a=1, an=0}
-175138	薄暮	65536	34180	3	{n=0}
-175144	邪说	65536	37034	3	{n=0}
-175147	钩针	65536	38057	3	{n=0}
-175148	点破	65536	28857	3	{v=0}
-175153	教辅	65536	25945	3	{j=0}
-175155	输导	65536	36755	3	{v=0}
-175158	煤城	65536	29028	3	{n=0}
-175162	败局	65536	36133	3	{n=0}
-175164	江珧	101363	27743	1	null
-175166	猪苓	65536	29482	3	{n=0}
-175168	釉面	128743	37321	1	null
-175169	正儿	105156	27491	1	null
-175170	猪苗	65536	29482	3	{n=0}
-175174	辣酱	129120	36771	2	{n=0}
-175175	镍钢	65536	38221	3	{n=0}
-175178	沙俄	65536	27801	3	{ns=0}
-175186	横暴	65536	27178	3	{a=0}
-175188	金银财	136642	235192	1	null
-175189	音乐季	65536	215259	3	{n=0}
-175190	河网	65536	27827	3	{n=0}
-175193	钉螺	65536	38025	3	{n=0}
-175194	甲寅	65536	30002	3	{m=0}
-175196	牛劲	65536	29275	3	{n=0}
-175201	满月	65536	28385	3	{v=1}
-175202	武庙	65536	27494	3	{n=0}
-175203	质子	65536	36136	3	{n=0}
-175204	风风雨	126720	243968	1	null
-175205	打牌	65536	25171	3	{v=2}
-175207	轰隆	65536	36720	3	{o=0}
-175209	色弱	65536	33394	3	{v=0}
-175210	金钱豹	65536	235123	3	{n=0}
-175215	自由泳	65536	216161	3	{n=28}
-175218	打牙	83731	25171	1	null
-175219	纵然	65536	32437	3	{c=0, d=0}
-175220	泥肥	65536	27877	3	{n=0}
-175221	飞行物	65536	227781	3	{n=0}
-175222	输尿	125226	36755	1	null
-175223	纯净	119167	32431	2	{a=1, an=1, v=0}
-175224	满期	65536	28385	3	{v=0}
-175225	腹面	65536	33145	3	{n=0}
-175228	营林	65536	33829	3	{n=1, v=0, vn=0}
-175231	核火	92890	26680	1	null
-175232	防洪设	135963	223549	1	null
-175237	迟钝	65536	36831	3	{a=2, an=0}
-175238	骇然	65536	39559	3	{z=0}
-175239	题写	65536	39064	3	{v=16}
-175243	色当	65536	33394	3	{n=0}
-175246	正册	65536	27491	3	{n=0}
-175247	限期	65536	38480	3	{n=4, v=4, vd=0, vn=0}
-175248	活契	65536	27963	3	{n=0}
-175251	渔霸	65536	28180	3	{n=0}
-175253	明王	94511	26126	1	null
-175254	音乐室	65536	215259	3	{n=1}
-175255	跟脚	65536	36319	3	{d=0, v=0}
-175258	照排	106648	29031	2	{vn=1}
-175259	无孔	100007	26080	1	null
-175261	泥胎	65536	27877	3	{n=0}
-175265	色彩	122363	33394	2	{n=42}
-175266	法书	65536	27861	3	{n=0}
-175268	黄金水	131177	242943	1	null
-175269	春蕾	91533	26149	2	{n=4, nz=4}
-175270	镜子	65536	38236	3	{n=7}
-175271	称誉	65536	31216	3	{v=1, vn=0}
-175272	音乐家	65536	215259	3	{n=11}
-175274	验光	65536	39564	3	{v=0}
-175276	越共	65536	36234	3	{j=11}
-175278	荣膺	65536	33635	3	{v=1}
-175281	豪族	65536	35946	3	{n=0}
-175283	暗计	65536	26263	3	{n=0}
-175284	猪草	65536	29482	3	{n=1}
-175285	非金融	65536	235360	3	{b=1}
-175286	秋播	65536	31179	3	{v=1}
-175287	来美	65536	26469	3	{v=1}
-175292	现名	65536	29616	3	{n=0}
-175294	阿拉胡	140015	218252	1	null
-175297	饼肥	65536	39292	3	{n=0}
-175298	暗记	65536	26263	3	{n=0}
-175300	里下	131665	37324	1	null
-175302	醇酒	65536	37255	3	{n=0}
-175303	法事	65536	27861	3	{n=0}
-175304	无宁	65536	26080	3	{c=0}
-175306	拉链	65536	25289	3	{n=1}
-175308	查盖	65536	26597	3	{ns=0}
-175309	拉锁	65536	25289	3	{n=1}
-175310	手里	65536	25163	3	{n=2, s=19}
-175311	踏看	65536	36367	3	{v=0}
-175313	暗访	65536	26263	3	{v=1, vn=1}
-175314	郁郁	139091	37057	2	{z=1}
-175317	比率	65536	27604	3	{n=4}
-175318	毒蕈	65536	27602	3	{n=0}
-175319	焦距	65536	28966	3	{n=1}
-175320	环顾	65536	29615	3	{v=2}
-175322	非正规	65536	225522	3	{b=0}
-175323	项群	65536	39033	3	{n=1}
-175325	计数	130785	35745	2	{v=1}
-175326	武引	65536	27494	3	{nz=0}
-175328	纯利	115321	32431	2	{n=1}
-175329	无定	95573	26080	1	null
-175330	黄山站	65536	229279	3	{ns=0}
-175331	遭逢	65536	36973	3	{v=1}
-175332	横杆	65536	27178	3	{n=0}
-175335	越冬	135251	36234	2	{v=6, vn=3}
-175337	时菜	65536	26102	3	{n=0}
-175338	明珠	96540	26126	2	{n=20, nz=0}
-175343	窗花	65536	31383	3	{n=0}
-175345	狂跌	65536	29378	3	{v=3, vn=1}
-175346	致贫	65536	33268	3	{v=0}
-175347	薄板	65536	34180	3	{n=0}
-175348	项羽	65536	39033	3	{nr=0}
-175349	收藏	96180	25910	2	{v=12, vn=5}
-175350	法人	95731	27861	2	{n=27}
-175351	街灯	65536	34903	3	{n=2}
-175352	正凶	65536	27491	3	{n=0}
-175354	无害	98723	26080	2	{v=3, vn=0}
-175355	拉锯	90785	25289	2	{v=0}
-175357	无家	98509	26080	1	null
-175359	暗语	65536	26263	3	{n=0}
-175360	无容	83484	26080	1	null
-175361	查看	65536	26597	3	{v=10}
-175363	游士	65536	28216	3	{n=0}
-175365	果苗	65536	26524	3	{n=1}
-175366	种子	119604	31181	2	{n=76}
-175367	温婉	65536	28201	3	{a=1}
-175368	遭遇	133654	36973	2	{n=4, v=1, vn=2}
-175369	正切	65536	27491	3	{n=0}
-175371	返校	65536	36820	3	{v=2, vn=1}
-175374	球台	65536	29699	3	{n=0}
-175376	明理	65536	26126	3	{a=0, v=0}
-175383	非公经	136077	218875	1	null
-175384	规程	65536	35268	3	{n=4}
-175386	新州	65536	26032	3	{ns=5}
-175388	武当	102561	27494	1	null
-175389	沉甸	98152	27785	1	null
-175390	闭月	128894	38381	1	null
-175392	法令	65536	27861	3	{n=3}
-175393	有偿	85405	26377	2	{b=5, d=6}
-175394	开赛	65536	24320	3	{v=6}
-175395	新巧	65536	26032	3	{a=0}
-175396	组诛	65536	32452	3	{v=1}
-175399	打猎	65536	25171	3	{v=2}
-175400	浮夸	90779	28014	2	{v=1, vn=0}
-175402	高压电	65536	230502	3	{n=0}
-175404	阔老	65536	38420	3	{n=0}
-175406	来者	103686	26469	1	null
-175408	辞典	65536	36766	3	{n=7}
-175411	盛典	65536	30427	3	{n=0}
-175412	照搬	65536	29031	3	{v=4, vn=0}
-175413	贴补	65536	36148	3	{v=1, vn=1}
-175414	雷达网	65536	211992	3	{n=0}
-175415	开走	65536	24320	3	{v=2}
-175416	理化	65536	29702	3	{j=0, n=0}
-175417	环食	65536	29615	3	{n=0}
-175419	开赴	65536	24320	3	{v=3}
-175421	新币	65536	26032	3	{n=18}
-175422	新市	99322	26032	1	null
-175423	秋收	104199	31179	2	{n=0, nz=0, v=2, vn=1}
-175431	税率	65536	31246	3	{n=12}
-175432	放血	65536	25918	3	{v=0}
-175435	拉长	65536	25289	3	{v=2}
-175436	耐震	65536	32784	3	{v=0}
-175437	计无	127756	35745	1	null
-175438	泥腿	105598	27877	1	null
-175439	正前	99960	27491	1	null
-175442	计日	121672	35745	1	null
-175444	放行	65536	25918	3	{v=1, vn=0}
-175445	盐都	116258	30416	2	{ns=0}
-175446	邪财	65536	37034	3	{n=0}
-175451	误认	133652	35823	2	{v=0}
-175452	木浆	65536	26408	3	{n=0}
-175454	黏度	65536	40655	3	{n=0}
-175456	迎合	65536	36814	3	{v=5, vn=0}
-175459	计时	131347	35745	2	{v=1, vn=0}
-175460	果茶	65536	26524	3	{n=0}
-175462	股长	65536	32929	3	{n=3}
-175465	正剧	65536	27491	3	{n=0}
-175469	贝宁	133498	36125	2	{ns=72}
-175472	盛况	106519	30427	2	{n=5}
-175473	正副	65536	27491	3	{b=2}
-175476	正割	65536	27491	3	{n=0}
-175478	球员	65536	29699	3	{n=41}
-175482	开足	70733	24320	1	null
-175483	焦躁	65536	28966	3	{a=0, an=0}
-175484	木浦	65536	26408	3	{ns=0}
-175485	醋酸	127005	37259	2	{n=0}
-175488	武德	65536	27494	3	{n=0}
-175489	误诊	65536	35823	3	{v=1}
-175492	无尽	93933	26080	2	{b=4, v=1}
-175495	闯荡	65536	38383	3	{v=4, vn=0}
-175497	本子	65536	26412	3	{n=13}
-175498	雀跃	65536	38592	3	{v=1}
-175500	穿针	116961	31359	1	null
-175501	黄褐色	65536	240702	3	{n=0}
-175504	本字	65536	26412	3	{n=0}
-175505	心计	65536	24515	3	{n=0}
-175506	洋务	101201	27915	2	{n=0}
-175511	胆敢	65536	32966	3	{v=1}
-175512	线切	122421	32447	1	null
-175513	沉疴	65536	27785	3	{n=1}
-175519	院中	65536	38498	3	{n=1}
-175520	载文	65536	36733	3	{v=1}
-175521	飒飒	65536	39122	3	{z=0}
-175522	越剧	133329	36234	2	{n=9}
-175523	报馆	65536	25253	3	{n=0}
-175525	镜屏	65536	38236	3	{n=1}
-175526	狂躁	65536	29378	3	{a=0}
-175528	线列	65536	32447	3	{n=0}
-175529	铭记	138441	38125	2	{n=0, v=6}
-175530	河肥	65536	27827	3	{n=0}
-175531	自由港	65536	216161	3	{n=0}
-175533	横栏	87354	27178	2	{ns=0}
-175534	新干	97943	26032	1	null
-175535	新平	97939	26032	2	{ns=0}
-175536	新年	99149	26032	2	{n=0, t=274}
-175537	迁都	65536	36801	3	{v=1, vn=0}
-175539	烟具	65536	28895	3	{n=0}
-175540	阴雨连	129729	229012	1	null
-175542	开路	89463	24320	2	{v=1, vn=0}
-175547	文火	65536	25991	3	{n=0}
-175548	春蚕	65536	26149	3	{n=0}
-175549	谢天	118236	35874	1	null
-175551	谢夫	115578	35874	1	null
-175552	沉痛	65536	27785	3	{a=2, ad=0, an=0}
-175555	马蹄莲	65536	241350	3	{n=0}
-175556	艺苑	65536	33402	3	{n=1}
-175557	点种	65536	28857	3	{v=0}
-175559	法例	65536	27861	3	{n=1}
-175563	消声	108856	28040	1	null
-175564	集邮者	65536	220661	3	{n=0}
-175565	纯化	65536	32431	3	{v=0}
-175568	盐酸	114277	30416	2	{n=0}
-175569	自然灾	124315	215142	1	null
-175570	酌量	65536	37196	3	{d=1}
-175572	认捐	65536	35748	3	{vn=1}
-175573	瓦窑	112798	29926	2	{n=0}
-175574	称许	65536	31216	3	{v=0}
-175575	核燃	98546	26680	1	null
-175576	烟农	65536	28895	3	{n=0}
-175577	胜算	65536	32988	3	{n=0}
-175579	越加	65536	36234	3	{d=1}
-175581	松立	65536	26494	3	{nz=0}
-175582	除旧迎	136810	204344	1	null
-175583	舍下	65536	33293	3	{s=0}
-175585	舍不	123624	33293	1	null
-175586	郁金	119724	37057	2	{n=0}
-175587	辞别	65536	36766	3	{v=0}
-175588	违禁	135966	36829	2	{b=6, v=0, vd=0, vn=2}
-175589	死得	105485	27515	1	null
-175592	证据	125361	35777	2	{n=75}
-175593	酿造	65536	37247	3	{v=0, vn=3}
-175594	消夏	65536	28040	3	{v=0, vn=0}
-175595	有光	89685	26377	1	null
-175597	规章	131479	35268	2	{n=12}
-175598	秋日	65536	31179	3	{t=3}
-175599	本家	102291	26412	2	{n=0}
-175600	明瓦	65536	26126	3	{n=0}
-175603	理发	115108	29702	2	{v=5, vn=0}
-175604	除此而	140053	205749	1	null
-175605	糖果	118475	31958	2	{n=5}
-175607	消夜	65536	28040	3	{n=0}
-175608	踏破	65536	36367	3	{v=0}
-175609	毒虫	65536	27602	3	{n=1}
-175610	设立	65536	35774	3	{v=117, vn=3}
-175613	色情	118977	33394	2	{n=5}
-175616	贝尔	127676	36125	2	{nr=6, nz=5}
-175619	项背	134161	39033	2	{n=0}
-175620	日环	81368	26085	1	null
-175623	蜜里	115347	34588	1	null
-175625	民团	65536	27665	3	{n=0}
-175626	果菜	65536	26524	3	{n=0}
-175628	消失	65536	28040	3	{v=14, vn=2}
-175631	论列	65536	35770	3	{v=1, vn=0}
-175633	死心	103741	27515	2	{v=0}
-175637	有关	65536	26377	3	{n=0, p=55, v=43, vn=689}
-175638	温存	65536	28201	3	{a=0}
-175641	正北	65536	27491	3	{f=0}
-175642	核爆	95703	26680	2	{j=0}
-175643	集邮联	65536	220661	3	{j=2}
-175644	打球	65536	25171	3	{v=2, vn=0}
-175647	横梁	65536	27178	3	{n=1}
-175648	象限	65536	35937	3	{n=0}
-175649	酬酢	65536	37228	3	{v=0}
-175651	邪路	65536	37034	3	{n=1}
-175652	民国	65536	27665	3	{n=0, t=0}
-175655	载明	65536	36733	3	{v=1}
-175656	禁军	65536	31105	3	{n=0}
-175658	理合	65536	29702	3	{d=0}
-175660	贫民	133373	36139	2	{n=0}
-175661	遍野	65536	36941	3	{v=1, vn=0}
-175663	贫气	65536	36139	3	{a=0}
-175665	称谓	65536	31216	3	{n=1, v=2, vn=2}
-175667	蛋鸡	65536	34507	3	{n=1}
-175669	毛收	105990	27611	1	null
-175670	新建	97952	26032	2	{b=0, nz=1, v=58, vn=6}
-175674	日珥	65536	26085	3	{n=0}
-175676	新开	91563	26032	1	null
-175677	错乱	65536	38169	3	{a=0, an=0}
-175678	新异	65536	26032	3	{a=0}
-175679	洋华	106641	27915	1	null
-175680	称谢	65536	31216	3	{v=0}
-175682	日班	65536	26085	3	{n=0}
-175685	鞣酸	65536	38819	3	{n=0}
-175686	订票	130161	35746	1	null
-175688	本小	102058	26412	1	null
-175690	正午	65536	27491	3	{t=2}
-175691	新式	65536	26032	3	{a=3, b=0}
-175692	通信连	65536	213037	3	{n=2}
-175694	请示	65536	35831	3	{v=3, vn=3}
-175695	明畅	65536	26126	3	{a=0}
-175698	豪杰	65536	35946	3	{n=0}
-175699	金凤还	135806	218022	1	null
-175701	毒蛇	65536	27602	3	{n=0}
-175702	触雷	65536	35302	3	{v=0}
-175703	错事	65536	38169	3	{n=3}
-175705	正南	65536	27491	3	{f=0}
-175707	日理	100530	26085	1	null
-175714	温室	98292	28201	2	{n=16}
-175718	赌气	65536	36172	3	{v=0}
-175723	笑声	65536	31505	3	{n=16}
-175724	点穴	65536	28857	3	{v=0}
-175731	频率	137365	39057	2	{n=10}
-175732	温家	107518	28201	1	null
-175734	舌面	127030	33292	1	null
-175736	秋景	65536	31179	3	{n=0}
-175741	核物	94858	26680	1	null
-175743	铸补	65536	38136	3	{v=1}
-175744	鸣沙	143854	40483	1	null
-175746	有几	102147	26377	1	null
-175747	本届	65536	26412	3	{r=37}
-175748	牙缝	65536	29273	3	{n=2}
-175749	销售科	65536	165478	3	{n=0}
-175750	舍亲	65536	33293	3	{n=0}
-175751	正厅	65536	27491	3	{n=0}
-175752	甲巳	65536	30002	3	{m=0}
-175753	比画	65536	27604	3	{v=0}
-175754	雕版	65536	38613	3	{b=0}
-175756	毒蛾	65536	27602	3	{n=0}
-175758	舍人	65536	33293	3	{n=0}
-175759	有凭	95752	26377	1	null
-175760	酬金	65536	37228	3	{n=0}
-175762	越南	131243	36234	2	{ns=54}
-175765	狂轰	105680	29378	1	null
-175766	活字	108639	27963	2	{n=0}
-175767	论功	118265	35770	1	null
-175768	毛料	65536	27611	3	{n=0}
-175771	鄂豫	128795	37122	1	null
-175773	焦辣	96232	28966	1	null
-175775	集体经	135324	203930	1	null
-175777	照料	65536	29031	3	{v=2, vn=1}
-175778	流寇	65536	27969	3	{n=0}
-175782	毒蜘	92124	27602	1	null
-175784	有分	98588	26377	1	null
-175786	小钢	78242	23567	1	null
-175787	荣获	65536	33635	3	{v=36}
-175791	消委	109887	28040	1	null
-175792	洋县	65536	27915	3	{ns=0}
-175795	洋参	65536	27915	3	{n=1}
-175796	迎新面	65536	179976	3	{n=1}
-175797	骨肉相连	65536	166494	3	{i=0}
-175798	鲁山	145807	40065	2	{ns=0}
-175799	镀铬	123067	38208	1	null
-175801	小钱	80503	23567	2	{n=1}
-175803	有则	96221	26377	1	null
-175809	验电笔	65536	184470	3	{n=0}
-175810	销售税	65536	165478	3	{n=1}
-175811	禁制	118501	31105	1	null
-175813	饮食疗	137779	185850	1	null
-175814	雾腾	130460	38654	1	null
-175819	有利	102028	26377	2	{a=61, ad=0, v=1}
-175821	有别	102033	26377	2	{v=1}
-175822	成鱼	65536	25104	3	{n=0}
-175823	正反	99962	27491	2	{b=2}
-175827	费神	65536	36153	3	{a=0, ad=0}
-175828	贫油	65536	36139	3	{n=3}
-175830	蛋黄	119199	34507	2	{n=0}
-175831	镀锌	123043	38208	1	null
-175832	求索	65536	27714	3	{v=3, vn=1}
-175836	活宝	65536	27963	3	{n=0}
-175839	黏性	65536	40655	3	{n=0}
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-175841	锦旗	65536	38182	3	{n=7}
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-175853	胶水	65536	33014	3	{n=0}
-175855	照旧	65536	29031	3	{d=0, v=1}
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-175859	新德	82073	26032	1	null
-175860	正史	65536	27491	3	{n=1}
-175861	打瓜	65536	25171	3	{n=0}
-175863	赠礼	65536	36192	3	{n=0}
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-175866	温尼	110703	28201	1	null
-175867	题名	65536	39064	3	{n=1, v=3, vn=0}
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-175876	航船	65536	33322	3	{n=2}
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-175879	舌音	65536	33292	3	{n=0}
-175881	脸蛋	65536	33080	3	{n=2}
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-175887	正名	65536	27491	3	{nr=0, v=1, vn=0}
-175889	秋月	116017	31179	1	null
-175890	王者	110656	29579	2	{n=2}
-175891	来自	65536	26469	3	{p=0, v=228, vn=0}
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-175894	照明	108703	29031	2	{n=22, v=5, vn=0}
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-175903	逼近	65536	36924	3	{v=7, vn=0}
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-175912	闻者	125510	38395	2	{n=1}
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-175917	开车	65536	24320	3	{v=8, vn=0}
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-175929	逼迫	65536	36924	3	{v=0, vn=0}
-175930	赌注	65536	36172	3	{n=1}
-175932	齿唇	129799	40831	1	null
-175933	有力	65536	26377	3	{a=88, ad=4}
-175935	酿酶	65536	37247	3	{n=0}
-175936	浮子	65536	28014	3	{n=0}
-175937	有功	89379	26377	2	{v=2, vn=4}
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-175948	正告	65536	27491	3	{v=0}
-175949	难以置	142711	211429	1	null
-175950	打电	79012	25171	1	null
-175951	小镇	65536	23567	3	{n=10}
-175952	链锁	65536	38142	3	{n=0}
-175956	有劲	65536	26377	3	{a=0}
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-175959	阀门	65536	38400	3	{n=0}
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-175965	高教部	65536	235060	3	{j=0, nt=1}
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-175967	机理	65536	26426	3	{n=5}
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-175973	致辞	65536	33268	3	{v=11, vn=1}
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-175975	高等级	65536	240676	3	{b=6}
-175976	游子	65536	28216	3	{n=14}
-175977	有勇	96087	26377	1	null
-175978	逗笑	65536	36887	3	{v=2}
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-175987	辞去	65536	36766	3	{v=9}
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-175992	胸章	65536	33016	3	{n=1}
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-175998	跃起	65536	36291	3	{nr=1, v=0}
-175999	无常	65536	26080	3	{a=1, d=1}
-176001	魂灵	65536	39746	3	{n=0}
-176006	谋生	65536	35851	3	{v=2, vn=0}
-176007	明白	100767	26126	2	{a=11, ad=0, an=0, v=23}
-176009	香港站	65536	226392	3	{n=2}
-176011	沙包	65536	27801	3	{n=0}
-176012	村边	65536	26449	3	{n=0, s=1}
-176018	魔岩	65536	39764	3	{n=3}
-176019	食品类	65536	210106	3	{n=4}
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-176021	礼让	65536	31036	3	{v=3, vn=0}
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-176027	气乎	107099	27668	1	null
-176028	沙化	65536	27801	3	{v=2, vn=1}
-176029	文牍	65536	25991	3	{n=0}
-176030	胶泥	65536	33014	3	{n=0}
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-176033	日界	88068	26085	1	null
-176034	开进	65536	24320	3	{v=10}
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-176041	订立	65536	35746	3	{v=0, vn=0}
-176042	耐饥	65536	32784	3	{a=0}
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-176044	法兰	107851	27861	1	null
-176045	法共	65536	27861	3	{j=3}
-176047	钻井	136362	38075	2	{n=9, v=2, vn=1}
-176048	烧瓶	65536	28903	3	{n=0}
-176049	汉王	65536	27721	3	{n=0, nz=0}
-176051	烟卷	65536	28895	3	{n=1}
-176052	法典	65536	27861	3	{n=1}
-176053	手钳	65536	25163	3	{n=0}
-176056	泥菩	95143	27877	1	null
-176057	文物	65536	25991	3	{n=65, v=0}
-176058	游客	65536	28216	3	{n=80}
-176060	自然物	65536	215142	3	{n=0}
-176061	手钻	65536	25163	3	{n=0}
-176066	论及	65536	35770	3	{v=2}
-176067	正品	65536	27491	3	{n=1}
-176071	禁区	65536	31105	3	{n=12}
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-176074	跃跃	135749	36291	1	null
-176076	谋略	132597	35851	2	{n=15}
-176082	手铐	65536	25163	3	{n=0}
-176083	邮电部	65536	206221	3	{n=0, nt=24}
-176086	无序	65536	26080	3	{b=2, d=1, v=1, vd=0}
-176087	现在	108731	29616	2	{t=378}
-176088	武戏	65536	27494	3	{n=7}
-176090	触须	65536	35302	3	{n=0}
-176091	集中营	65536	203636	3	{n=4}
-176092	无底	92081	26080	1	null
-176095	心路	65536	24515	3	{n=1}
-176097	开通	65536	24320	3	{a=0, an=0, v=46, vn=1}
-176098	气井	65536	27668	3	{n=0}
-176099	心跳	65536	24515	3	{v=0, vn=0}
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-176110	无座	98869	26080	1	null
-176111	贝布	129192	36125	1	null
-176112	郧阳	65536	37095	3	{ns=0}
-176115	线呢	65536	32447	3	{n=0}
-176116	龟甲	65536	40863	3	{n=0}
-176117	高枕而	145427	235632	1	null
-176119	甘紫	101680	29976	1	null
-176120	明目	96574	26126	1	null
-176124	长安街	65536	222010	3	{ns=3}
-176127	无庸	87404	26080	2	{d=0}
-176128	辞呈	65536	36766	3	{n=8}
-176129	色拉	124817	33394	2	{n=0}
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-176136	浮尘	65536	28014	3	{n=0}
-176141	迫近	65536	36843	3	{v=1}
-176151	本州	99391	26412	1	null
-176154	开道	65536	24320	3	{v=3}
-176156	武打	96974	27494	2	{n=4}
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-176162	贬黜	65536	36140	3	{v=0}
-176163	方解	88907	26041	1	null
-176165	手锣	65536	25163	3	{n=0}
-176166	谷仓	65536	35895	3	{n=0}
-176167	小队	65536	23567	3	{n=0}
-176172	烟台	108657	28895	2	{ns=12}
-176177	手锯	65536	25163	3	{n=0}
-176178	烟叶	65536	28895	3	{n=0}
-176180	照本	109624	29031	1	null
-176182	谢客	65536	35874	3	{v=0}
-176183	阵亡	65536	38453	3	{v=0, vn=0}
-176185	松紧	99714	26494	2	{n=1}
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-176187	本市	65536	26412	3	{r=7}
-176188	比目	86672	27604	1	null
-176189	通信量	65536	213037	3	{n=0}
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-176194	明眸	90574	26126	1	null
-176195	鸭子	65536	40493	3	{n=4}
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-176200	沙参	65536	27801	3	{n=0}
-176201	无异	99921	26080	2	{v=5}
-176202	谢家	115664	35874	1	null
-176203	新意	65536	26032	3	{n=13}
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-176213	法则	65536	27861	3	{n=1}
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-176221	有去	96082	26377	1	null
-176225	浮山	65536	28014	3	{ns=1}
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-176233	看涨	65536	30475	3	{v=2}
-176234	小院	65536	23567	3	{n=3}
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-176237	闪烁	140679	38378	2	{v=15, vn=0}
-176239	灰沉	104620	28784	1	null
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-176244	河药	65536	27827	3	{j=0}
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-176255	灰沙	65536	28784	3	{n=0}
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-176292	雁窝	139512	38593	1	null
-176295	苍翠	65536	33485	3	{z=3}
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-176300	温差	65536	28201	3	{n=2}
-176301	本年	65536	26412	3	{t=5}
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-176319	鼠害	65536	40736	3	{n=0}
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-176388	读诗	124223	35835	1	null
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-176445	饱含	65536	39281	3	{v=4}
-176446	鹏程	147703	40527	2	{nz=0}
-176447	照样	65536	29031	3	{d=6}
-176448	小霸	77525	23567	1	null
-176450	毛桃	65536	27611	3	{n=0}
-176453	锐角	65536	38160	3	{n=0}
-176455	深仇	107612	28145	1	null
-176456	温床	65536	28201	3	{n=0}
-176457	核电	103195	26680	2	{n=36}
-176458	礼赞	65536	31036	3	{n=0, v=1, vn=0}
-176460	木然	65536	26408	3	{z=0}
-176462	禁品	65536	31105	3	{n=0}
-176463	流年	65536	27969	3	{n=0}
-176465	辉铜	126133	36745	1	null
-176469	打眼	65536	25171	3	{v=0}
-176470	文理	87647	25991	2	{j=0, n=0}
-176471	沙哑	65536	27801	3	{a=0}
-176472	链霉	128847	38142	1	null
-176473	里加	65536	37324	3	{ns=3, nz=0}
-176474	小青	82925	23567	1	null
-176479	心软	65536	24515	3	{a=0}
-176484	温度	96072	28201	2	{n=13}
-176486	气候	65536	27668	3	{n=49}
-176491	辉银	126136	36745	1	null
-176492	算账	65536	31639	3	{v=4, vn=0}
-176493	香椿芽	65536	225128	3	{n=0}
-176494	无性	93630	26080	2	{b=2, d=0}
-176495	无怨	93993	26080	1	null
-176497	无怪	65536	26080	3	{d=0}
-176501	果蝇	65536	26524	3	{n=0}
-176502	邻角	65536	37051	3	{n=0}
-176503	法医	105283	27861	2	{n=2}
-176504	明确	65536	26126	3	{a=68, ad=77, an=0, v=60, vn=1}
-176506	木煤	95243	26408	1	null
-176507	新房	65536	26032	3	{n=28}
-176508	足迹	65536	36275	3	{n=17}
-176509	采油队	65536	202903	3	{n=0}
-176512	素席	65536	32032	3	{n=0}
-176513	魂牵	140333	39746	1	null
-176514	繁重	65536	32321	3	{a=26, an=0}
-176516	高高的	65536	248755	3	{z=4}
-176518	辉锑	126137	36745	1	null
-176519	新手	65536	26032	3	{n=1}
-176521	铝焊	65536	38109	3	{vn=1}
-176523	素常	65536	32032	3	{d=0}
-176524	本当	65536	26412	3	{d=0}
-176526	开采	90287	24320	2	{v=10, vn=2}
-176529	开释	65536	24320	3	{v=0}
-176531	小鞋	65536	23567	3	{n=0}
-176533	赞誉	132287	36190	2	{v=5, vn=9}
-176534	玉兔	65536	29577	3	{n=0, nz=0}
-176535	阅览	138363	38405	2	{v=2, vn=0}
-176536	开金	65536	24320	3	{n=0}
-176538	鉴貌	123379	37492	1	null
-176542	饱和	143576	39281	2	{v=0, vn=2}
-176543	村里	103325	26449	2	{n=77}
-176544	无恙	65536	26080	3	{z=2}
-176545	村野	65536	26449	3	{n=1}
-176549	打瞌	84257	25171	1	null
-176550	长三角	65536	218554	3	{nz=0}
-176554	本影	65536	26412	3	{n=0}
-176558	霉菌	133534	38665	2	{n=0}
-176562	玉兰	105377	29577	2	{n=2, nr=0}
-176563	规约	65536	35268	3	{n=0, v=0}
-176565	魏碑	65536	39759	3	{n=1}
-176566	无息	83926	26080	1	null
-176568	满江	99132	28385	1	null
-176571	锅贴	65536	38149	3	{n=0}
-176572	能级	65536	33021	3	{n=0}
-176573	无恶	100102	26080	1	null
-176577	须臾	144693	39035	2	{t=1}
-176578	负于	65536	36127	3	{v=9}
-176582	球墨	96923	29699	1	null
-176583	田七	65536	30000	3	{n=0}
-176587	铲车	65536	38130	3	{n=1}
-176590	心连	87441	24515	1	null
-176594	时装	96519	26102	2	{n=9}
-176596	沉积	104443	27785	2	{v=0, vn=0}
-176598	现大	106923	29616	1	null
-176600	黑白片	65536	237675	3	{n=0}
-176601	牙色	65536	29273	3	{n=0}
-176603	无悔	94008	26080	2	{v=6}
-176608	田东	114347	30000	1	null
-176609	雾蒙	129671	38654	1	null
-176610	跃进	65536	36291	3	{nr=0, nz=0, v=0, vn=0}
-176611	松绑	65536	26494	3	{v=0}
-176612	腹鳍	65536	33145	3	{n=0}
-176613	流弊	65536	27969	3	{n=0}
-176617	心迹	65536	24515	3	{n=0}
-176619	成龙	76993	25104	1	null
-176620	题图	65536	39064	3	{n=1}
-176622	集体舞	65536	203930	3	{n=0}
-176625	田中	65536	30000	3	{nr=1}
-176626	灰渌	104234	28784	1	null
-176628	辉长	133139	36745	1	null
-176630	陪笑	129821	38506	1	null
-176631	错别	137613	38169	1	null
-176633	手雷	65536	25163	3	{n=0}
-176634	烧着	65536	28903	3	{v=0}
-176636	本心	65536	26412	3	{n=0}
-176637	舍利	65536	33293	3	{n=0}
-176638	王英	65536	29579	3	{nr=1, ns=0}
-176639	田主	65536	30000	3	{n=0}
-176642	求职	95010	27714	2	{v=1, vn=1}
-176645	母鼠	65536	27597	3	{n=0}
-176646	打短	90785	25171	1	null
-176648	郁闷	65536	37057	3	{a=0}
-176649	灰渣	65536	28784	3	{n=0}
-176652	无情	94010	26080	2	{a=6, ad=0, an=1}
-176657	解放鞋	65536	204500	3	{n=1}
-176659	院务	65536	38498	3	{n=0}
-176660	流弹	65536	27969	3	{n=1}
-176661	量体	124774	37327	1	null
-176662	阿谀逢	125806	228803	1	null
-176664	沉稳	65536	27785	3	{a=2, an=0}
-176668	风云突	143592	224963	1	null
-176670	鸡蛋糕	65536	227742	3	{n=0}
-176673	洋地	88530	27915	1	null
-176675	盛器	65536	30427	3	{n=0}
-176676	灯柱	65536	28783	3	{n=0}
-176682	正在	65536	27491	3	{d=257}
-176683	洋场	65536	27915	3	{n=1}
-176684	灵机	112498	28789	1	null
-176686	豪歌	131522	35946	1	null
-176687	鼓鼓的	65536	219839	3	{z=2}
-176689	现如	114674	29616	1	null
-176690	质感	65536	36136	3	{n=1}
-176691	法号	65536	27861	3	{n=0}
-176692	零售网	65536	208639	3	{n=0}
-176693	铲运	124075	38130	1	null
-176696	拉马	90609	25289	1	null
-176697	醇雅	65536	37255	3	{a=1}
-176698	灯标	65536	28783	3	{n=0}
-176699	预备费	65536	216510	3	{n=3}
-176700	鹤发鸡	137312	167815	1	null
-176702	有喜	65536	26377	3	{v=0}
-176703	放贷	97900	25918	2	{v=3, vn=0}
-176705	毛楂	99885	27611	1	null
-176707	饮用	137939	39278	2	{v=6, vn=3}
-176708	明示	65536	26126	3	{v=0, vn=1}
-176710	释藏	65536	37322	3	{n=0}
-176712	藤黄	65536	34276	3	{n=0}
-176713	法名	65536	27861	3	{n=0}
-176714	马拉维	65536	230219	3	{ns=2}
-176715	钩骨	65536	38057	3	{n=0}
-176717	打破	65536	25171	3	{v=63}
-176721	打砸	89573	25171	1	null
-176722	正坐	65536	27491	3	{v=0}
-176725	温得	109342	28201	1	null
-176726	无意	84317	26080	2	{v=6, vd=0, vn=0}
-176728	负伤	65536	36127	3	{v=1, vn=0}
-176729	黯然神	148236	169360	1	null
-176730	甘美	65536	29976	3	{a=1}
-176733	鉴赏	139012	37492	2	{v=0, vn=1}
-176734	木版	92902	26408	2	{n=0}
-176736	本性	84516	26412	2	{n=0}
-176737	深信	110461	28145	2	{v=5}
-176738	木牌	65536	26408	3	{n=0}
-176740	手面	65536	25163	3	{n=0}
-176744	明神	65536	26126	3	{nr=0}
-176747	田产	65536	30000	3	{n=0}
-176749	田亩	65536	30000	3	{n=0}
-176750	无愧	99994	26080	2	{v=2, vd=1}
-176752	烟嘴	65536	28895	3	{n=0}
-176753	称道	65536	31216	3	{v=7, vn=0}
-176755	线团	65536	32447	3	{n=0}
-176756	盐阜	65536	30416	3	{n=0}
-176759	统计	122583	32479	2	{n=0, v=120, vn=99}
-176760	放走	65536	25918	3	{v=0}
-176761	马蹄表	65536	241350	3	{n=0}
-176768	横波	65536	27178	3	{n=0}
-176769	小项	65536	23567	3	{n=6}
-176770	灰溜	104091	28784	1	null
-176772	母龟	65536	27597	3	{n=0}
-176773	打硬	94641	25171	1	null
-176774	闹闹轰	125036	218647	1	null
-176779	满洲	109285	28385	2	{ns=0}
-176780	迎头	127101	36814	2	{d=0}
-176781	糖水	65536	31958	3	{n=0}
-176783	股骨	123620	32929	2	{n=1}
-176788	瓦罐	65536	29926	3	{n=0}
-176790	木犀	90010	26408	2	{n=0}
-176793	线圈	65536	32447	3	{n=0}
-176794	糖汁	65536	31958	3	{n=0}
-176795	色散	65536	33394	3	{n=0}
-176796	盘剥	65536	30424	3	{v=0, vn=0}
-176797	设置	65536	35774	3	{v=54, vn=12}
-176799	自然界	65536	215142	3	{n=8}
-176800	小题	84286	23567	1	null
-176801	甲戌	65536	30002	3	{m=0}
-176803	汉白	98253	27721	1	null
-176805	小额	65536	23567	3	{b=0, n=1}
-176807	打碎	65536	25171	3	{v=3}
-176808	本息	65536	26412	3	{n=1}
-176810	谢帖	65536	35874	3	{n=0}
-176812	民宅	65536	27665	3	{n=1}
-176816	民安	104754	27665	2	{nz=0}
-176821	金刚钻	65536	218076	3	{n=0}
-176825	颗粒肥	138942	164948	1	null
-176826	沙嘴	65536	27801	3	{n=0}
-176828	阿布贾	65536	217030	3	{ns=0}
-176833	间不	138176	38388	1	null
-176834	驻法	65536	39547	3	{n=1}
-176836	赞许	65536	36190	3	{v=2, vn=1}
-176837	辅音	65536	36741	3	{n=0}
-176840	收订	65536	25910	3	{v=0}
-176845	被服	65536	34987	3	{n=0}
-176847	铁道部	65536	231018	3	{n=0, nt=33}
-176848	烧砖	65536	28903	3	{v=0}
-176849	收讫	65536	25910	3	{v=0}
-176850	计步	130801	35745	1	null
-176854	有嘴	96105	26377	1	null
-176856	谷内	65536	35895	3	{nr=0, s=0}
-176857	鳞翅	136942	40158	1	null
-176859	灵柩	65536	28789	3	{n=0}
-176862	牛头	112571	29275	1	null
-176863	横流	65536	27178	3	{v=1}
-176866	游廊	65536	28216	3	{n=0}
-176870	陕西	136060	38485	2	{ns=28}
-176871	驾照	65536	39550	3	{j=0}
-176873	谢幕	65536	35874	3	{v=1}
-176874	颠簸	65536	39072	3	{v=2, vd=0, vn=2}
-176876	骄横	65536	39556	3	{a=1, an=0}
-176879	饱嗝	65536	39281	3	{n=0}
-176883	民富	104761	27665	1	null
-176886	豪气	65536	35946	3	{n=3}
-176888	点缀	65536	28857	3	{v=5, vn=0}
-176889	赞语	65536	36190	3	{n=4}
-176890	没用	65536	27809	3	{a=0, v=1}
-176892	春试	65536	26149	3	{n=0}
-176895	气冲	106235	27668	1	null
-176896	线坯	120155	32447	1	null
-176897	打磨	92706	25171	2	{v=3}
-176900	气冷	65536	27668	3	{n=1}
-176901	校纪	65536	26657	3	{n=0}
-176902	遭际	65536	36973	3	{n=0}
-176903	自由王	125564	216161	1	null
-176905	违约	120325	36829	2	{v=3, vn=2}
-176909	违纪	65536	36829	3	{v=7, vd=0, vn=33}
-176911	无懈	98619	26080	1	null
-176914	遮遮	133261	36974	1	null
-176915	魔怪	65536	39764	3	{n=0}
-176918	素心	65536	32032	3	{n=3}
-176922	能者	126984	33021	2	{n=2}
-176923	战马	65536	25112	3	{n=2}
-176924	线型	65536	32447	3	{b=0, n=0}
-176928	牛奶	65536	29275	3	{n=18}
-176931	游弋	65536	28216	3	{v=1}
-176933	能耐	65536	33021	3	{n=1}
-176935	逸闻	65536	36920	3	{n=0}
-176936	税票	65536	31246	3	{n=0}
-176937	高山病	65536	232780	3	{n=0}
-176938	素志	65536	32032	3	{n=0}
-176940	能耗	65536	33021	3	{n=0}
-176941	烟囱	65536	28895	3	{n=1}
-176942	文痞	65536	25991	3	{n=0}
-176943	毒计	65536	27602	3	{n=0}
-176944	腰缠	127360	33136	1	null
-176946	王营	65536	29579	3	{ns=0}
-176954	贫困面	65536	170251	3	{n=2}
-176956	陷落	140606	38519	2	{v=0}
-176964	龙泉驿	147492	228472	2	{ns=0}
-176965	顽疾	65536	39037	3	{n=1}
-176967	金融资	133666	231759	1	null
-176968	本意	65536	26412	3	{n=5}
-176970	饱和色	65536	176542	3	{n=0}
-176974	顽症	65536	39037	3	{n=5}
-176975	甘肃	104974	29976	2	{ns=34}
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-176980	足金	65536	36275	3	{n=0}
-176983	镶边	65536	38262	3	{v=0}
-176987	烟土	65536	28895	3	{n=0}
-176988	闪现	65536	38378	3	{v=1}
-176989	课目	65536	35838	3	{n=1}
-176990	满清	65536	28385	3	{t=0}
-176992	武斗	65536	27494	3	{v=0, vn=0}
-176994	顽痛	65536	39037	3	{a=1}
-176997	载歌	120055	36733	1	null
-176998	活性	102909	27963	2	{b=2, n=0}
-177000	心酸	65536	24515	3	{a=1}
-177001	高架道	130448	235665	1	null
-177003	烧碱	65536	28903	3	{n=0}
-177004	民居	65536	27665	3	{n=2}
-177006	负债	134222	36127	2	{n=1, v=5, vd=0, vn=18}
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-177010	鸭广	140776	40493	1	null
-177012	盐霜	65536	30416	3	{n=0}
-177014	武断	65536	27494	3	{a=0, ad=0}
-177017	心醉	80900	24515	2	{v=2}
-177018	素性	65536	32032	3	{n=0}
-177019	贴身	65536	36148	3	{a=0, ad=0, vn=1}
-177023	遭难	65536	36973	3	{v=1}
-177024	鼠年	65536	40736	3	{t=0}
-177025	打票	65536	25171	3	{v=0}
-177026	法商	65536	27861	3	{n=1}
-177027	温情	97956	28201	2	{an=0, n=4}
-177028	订约	65536	35746	3	{v=0}
-177030	无房	94971	26080	1	null
-177031	无所	100328	26080	1	null
-177032	莫知	124619	33707	1	null
-177037	税种	65536	31246	3	{n=4}
-177038	迎娶	65536	36814	3	{v=0}
-177039	舍去	65536	33293	3	{v=0}
-177040	阿拉伯语	65536	162572	3	{nz=0}
-177041	河蚌	65536	27827	3	{n=0}
-177044	苍苍	115294	33485	2	{z=1}
-177046	沉箱	65536	27785	3	{n=0}
-177049	毒谋	65536	27602	3	{n=0}
-177050	死敌	65536	27515	3	{n=0}
-177052	递给	65536	36882	3	{v=6}
-177055	糖浆	65536	31958	3	{n=0}
-177057	明窗	100019	26126	1	null
-177058	辰龙	65536	36784	3	{t=0}
-177061	沙土	65536	27801	3	{n=2, ns=0}
-177069	阵列	65536	38453	3	{n=0}
-177070	看热	100023	30475	1	null
-177071	武旦	65536	27494	3	{n=0}
-177077	雨量计	65536	219196	3	{n=0}
-177078	沙地	65536	27801	3	{n=0}
-177084	心里	85594	24515	2	{s=57}
-177085	禁地	65536	31105	3	{n=0}
-177086	越境	65536	36234	3	{v=1}
-177087	横渡	65536	27178	3	{v=2}
-177088	沙场	65536	27801	3	{n=3}
-177091	都都	65536	37117	3	{nz=0}
-177098	阅读	139708	38405	2	{v=17, vn=1}
-177099	文登	94769	25991	1	null
-177100	钻劲	65536	38075	3	{n=0}
-177103	质押	65536	36136	3	{v=0}
-177104	手风	84809	25163	1	null
-177109	武昌	104924	27494	2	{ns=2}
-177111	沙坑	65536	27801	3	{n=0}
-177114	打私	65536	25171	3	{j=0, vn=2}
-177115	闭幕词	65536	173163	3	{n=0}
-177120	纯天	114414	32431	1	null
-177122	舌鳎	65536	33292	3	{n=0}
-177123	阵前	65536	38453	3	{s=2}
-177124	打秋	75710	25171	1	null
-177125	深入	110303	28145	2	{a=65, ad=60, an=4, d=0, v=161, vn=12}
-177128	气力	65536	27668	3	{n=3}
-177130	顽癣	65536	39037	3	{n=0}
-177132	气功	103085	27668	2	{n=1}
-177134	沙坨	105865	27801	1	null
-177136	沙坪	65536	27801	3	{ns=1}
-177138	苍茫	65536	33485	3	{z=1}
-177140	秋毫	120380	31179	2	{n=0}
-177141	气动	106013	27668	2	{b=2}
-177145	音乐指	140979	215259	1	null
-177146	流感	65536	27969	3	{n=0}
-177149	税稽	65536	31246	3	{j=3}
-177153	胸罩	65536	33016	3	{n=0}
-177155	统购	111693	32479	2	{v=1, vn=0}
-177156	轰鸣	133882	36720	2	{v=5, vn=0}
-177157	销售网	65536	165478	3	{n=0}
-177158	正处	93581	27491	1	null
-177159	现存	65536	29616	3	{v=4, vn=1}
-177160	消弭	65536	28040	3	{v=0}
-177164	气势	104270	27668	2	{n=10}
-177165	浮思	97155	28014	1	null
-177168	间作	65536	38388	3	{v=0, vn=1}
-177169	闽西	65536	38397	3	{ns=2}
-177172	松脂	65536	26494	3	{n=0}
-177174	铅丝	65536	38085	3	{n=0}
-177176	松脆	65536	26494	3	{a=0}
-177179	盘古	113510	30424	2	{n=1, nr=0, nz=0}
-177180	正多	90749	27491	1	null
-177183	无拘	94054	26080	1	null
-177186	题头	65536	39064	3	{n=1}
-177190	铅中	133021	38085	1	null
-177191	量入	139760	37327	1	null
-177192	谋私	65536	35851	3	{v=3}
-177193	正大	105205	27491	2	{nz=0}
-177196	深冬	65536	28145	3	{t=2}
-177198	死无	102806	27515	1	null
-177199	青年节	65536	221144	3	{t=0}
-177200	求艺	65536	27714	3	{vn=0}
-177202	铅丹	65536	38085	3	{n=0}
-177203	礼遇	65536	31036	3	{n=0, v=0, vn=0}
-177205	顽皮	65536	39037	3	{a=0}
-177207	蜡扦	65536	34593	3	{n=0}
-177208	玉叶	97307	29577	1	null
-177209	量具	65536	37327	3	{n=0}
-177210	满满	107152	28385	2	{a=0, d=0, v=0, z=1}
-177212	请缨	65536	35831	3	{v=1}
-177213	秋水	65536	31179	3	{n=0}
-177216	横溢	65536	27178	3	{v=1}
-177218	文盲	89265	25991	2	{n=6}
-177220	日积	94145	26085	1	null
-177224	本戏	65536	26412	3	{n=0}
-177225	胆气	65536	32966	3	{n=0}
-177226	木琴	65536	26408	3	{n=1}
-177228	阐述	65536	38416	3	{v=25, vn=5}
-177229	现实	114847	29616	2	{a=13, an=0, n=166}
-177230	瓦脊	65536	29926	3	{n=1}
-177233	舍命	65536	33293	3	{d=0}
-177235	收购	97670	25910	2	{v=48, vn=21}
-177237	阵势	65536	38453	3	{n=2}
-177240	返潮	65536	36820	3	{v=0}
-177241	教鞭	65536	25945	3	{n=1}
-177243	赞赏	65536	36190	3	{v=30, vd=0, vn=8}
-177247	收费	95107	25910	2	{n=0, v=17, vn=83}
-177248	日程	85605	26085	2	{n=16}
-177251	气化	65536	27668	3	{v=1, vn=1}
-177252	秋汛	65536	31179	3	{n=0}
-177253	洋奴	65536	27915	3	{n=0}
-177255	正奥	65536	27491	3	{nz=3}
-177256	违者	133151	36829	2	{n=3}
-177262	渔鼓	65536	28180	3	{n=0}
-177263	脸谱	125969	33080	2	{n=0}
-177269	磨不	115453	30952	1	null
-177270	胆汁	65536	32966	3	{n=0}
-177271	闺阁	65536	38394	3	{n=1}
-177272	横滚	65536	27178	3	{v=1}
-177275	新政	98080	26032	2	{n=0}
-177277	特为	65536	29305	3	{d=1}
-177278	请罪	65536	35831	3	{v=0}
-177279	正好	65536	27491	3	{z=19}
-177280	没皮	100503	27809	1	null
-177284	正如	65536	27491	3	{p=0, v=8}
-177285	谢忱	65536	35874	3	{n=0}
-177286	横滨	65536	27178	3	{nr=0, ns=2}
-177287	深切	65536	28145	3	{a=19, ad=7}
-177289	贴边	65536	36148	3	{n=0}
-177293	男装	65536	30007	3	{n=0}
-177298	素愿	65536	32032	3	{n=0}
-177300	赠给	65536	36192	3	{v=1}
-177301	新教	94943	26032	2	{n=5, nz=0}
-177304	贪吃	65536	36138	3	{an=0, v=1}
-177309	收起	65536	25910	3	{v=1}
-177313	贴近	65536	36148	3	{a=0, v=27, vn=0}
-177316	法器	65536	27861	3	{n=0}
-177318	无损	65536	26080	3	{v=1, vn=0}
-177322	沙堤	65536	27801	3	{n=0}
-177329	自由电	124460	216161	1	null
-177330	腰肢	65536	33136	3	{n=1}
-177335	毒贩	65536	27602	3	{n=1}
-177339	深刻	105840	28145	2	{a=93, ad=21, an=3, vd=0}
-177344	阴雨雪	65536	229012	3	{n=2}
-177345	机票	65536	26426	3	{n=3}
-177347	新文	98145	26032	1	null
-177348	餐房	65536	39184	3	{n=0}
-177349	线头	65536	32447	3	{n=0}
-177351	开销	65536	24320	3	{n=1, v=1, vn=0}
-177352	江米	95538	27743	2	{n=0}
-177353	查结	94666	26597	2	{v=0}
-177354	盛夏	65536	30427	3	{t=3}
-177355	开锄	65536	24320	3	{v=0}
-177356	开锅	65536	24320	3	{v=0}
-177357	洋姜	65536	27915	3	{n=0}
-177358	特事	65536	29305	3	{n=0}
-177359	放过	65536	25918	3	{v=0}
-177361	时评	65536	26102	3	{n=0}
-177362	灰烬	65536	28784	3	{n=0}
-177363	量刑	65536	37327	3	{v=1, vn=1}
-177365	核磁	103715	26680	1	null
-177366	骄气	65536	39556	3	{n=0}
-177368	气压	92259	27668	2	{n=1}
-177370	毛毛	94887	27611	1	null
-177373	遵行	65536	36981	3	{v=0}
-177374	本报	65536	26412	3	{r=1465, v=1, vn=1}
-177375	领头羊	65536	211192	3	{l=2}
-177376	毛毡	65536	27611	3	{n=0}
-177377	闪电	136408	38378	2	{n=0, v=1}
-177378	盛大	65536	30427	3	{a=2, b=14}
-177379	浮想	97055	28014	1	null
-177380	领导组	65536	211904	3	{n=3}
-177381	烟墩	112660	28895	1	null
-177383	醉话	65536	37257	3	{n=0}
-177385	福橘	65536	31119	3	{n=0}
-177386	特产	102577	29305	2	{n=7}
-177387	秋波	65536	31179	3	{n=1}
-177388	笑影	65536	31505	3	{n=0}
-177390	毛毯	65536	27611	3	{n=12}
-177391	现局	65536	29616	3	{n=0}
-177393	饶舌	65536	39286	3	{v=0}
-177394	木瓜	65536	26408	3	{n=0}
-177396	洋娃	106132	27915	1	null
-177400	武术	96207	27494	2	{n=39}
-177402	迎客	130789	36814	1	null
-177403	载波	65536	36733	3	{n=0}
-177404	论处	65536	35770	3	{v=1}
-177405	谢恩	65536	35874	3	{v=0}
-177406	河蟹	65536	27827	3	{n=0}
-177407	查缉	65536	26597	3	{v=5, vn=0}
-177408	胶片	65536	33014	3	{n=0}
-177409	胶版	114471	33014	2	{n=0}
-177410	鸡蛋羹	65536	227742	3	{n=0}
-177414	杂院	65536	26434	3	{n=0}
-177418	钻台	65536	38075	3	{n=0}
-177420	民工	65536	27665	3	{n=6}
-177421	醇香	65536	37255	3	{a=2, n=0}
-177424	时调	65536	26102	3	{n=0}
-177426	没着	100511	27809	1	null
-177430	迎宾	130930	36814	2	{v=0, vn=1}
-177431	航行	125963	33322	2	{v=1, vn=2}
-177432	放逐	65536	25918	3	{v=0, vn=1}
-177434	村镇	65536	26449	3	{n=12}
-177440	日立	65536	26085	3	{nz=1}
-177441	新日	65536	26032	3	{nz=0}
-177444	胸肌	65536	33016	3	{n=0}
-177445	邵阳	137560	37045	2	{ns=1}
-177446	机种	65536	26426	3	{n=0}
-177450	查缴	65536	26597	3	{v=1}
-177455	违背	65536	36829	3	{v=10, vn=0}
-177458	烟壶	65536	28895	3	{n=0}
-177460	魔手	65536	39764	3	{n=0}
-177462	谷口	65536	35895	3	{n=0, nr=0}
-177463	开镰	65536	24320	3	{v=0}
-177465	法国	107216	27861	2	{ns=218}
-177466	特价	112128	29305	2	{n=1}
-177472	有增	96112	26377	1	null
-177475	雌雄	141887	38604	2	{n=0}
-177476	小鬼	84275	23567	2	{n=0}
-177477	饿饭	65536	39295	3	{v=0}
-177479	武松	65536	27494	3	{n=0, nr=2}
-177480	新昌	65536	26032	3	{ns=0}
-177482	消息	104885	28040	2	{n=85}
-177483	烧窑	65536	28903	3	{v=1, vn=2}
-177486	气吁	105673	27668	1	null
-177488	营火	129785	33829	2	{n=0}
-177489	瓦舍	65536	29926	3	{n=0}
-177490	村长	65536	26449	3	{n=6}
-177493	鸡冠花	65536	214131	3	{n=0}
-177495	死有	106041	27515	1	null
-177496	烟夜	98168	28895	1	null
-177498	载流	133420	36733	1	null
-177499	新星	65536	26032	3	{n=10, nr=0, nz=1}
-177501	量力	127009	37327	2	{v=0}
-177504	武林	65536	27494	3	{n=4}
-177505	新春	65536	26032	3	{t=225}
-177506	月钱	65536	26376	3	{n=0}
-177507	适中	65536	36866	3	{a=1}
-177509	讨论	132758	35752	2	{n=0, v=80, vn=39}
-177512	阿布迪	136360	217030	1	null
-177513	锦江	65536	38182	3	{ns=5, nz=6}
-177515	气吞	103515	27668	1	null
-177518	铆钉	134105	38086	2	{n=0}
-177519	胶状	117627	33014	1	null
-177520	烟头	65536	28895	3	{n=8}
-177526	法场	65536	27861	3	{n=1}
-177527	知觉	65536	30693	3	{n=0}
-177530	顽石	135884	39037	2	{n=0}
-177533	荣誉	128727	33635	2	{n=58}
-177534	鼓励类	65536	200285	3	{n=1}
-177536	秋海	113579	31179	1	null
-177544	理学	112340	29702	2	{n=1}
-177548	锣鼓队	65536	161028	3	{n=2}
-177554	有声	95816	26377	2	{b=2}
-177556	松节	95984	26494	1	null
-177557	核禁	88773	26680	1	null
-177558	深化	65536	28145	3	{v=140, vd=0, vn=13}
-177565	陶俑	65536	38518	3	{n=2}
-177566	阻值	65536	38459	3	{n=0}
-177567	职级	65536	32844	3	{j=0, n=1}
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-177570	活扣	65536	27963	3	{n=0}
-177571	谢意	65536	35874	3	{n=9}
-177572	洋媳	106258	27915	1	null
-177573	观世	113579	35266	1	null
-177576	陪练	65536	38506	3	{vn=0}
-177577	有备	96115	26377	1	null
-177578	蜜饯	65536	34588	3	{n=0}
-177579	新景	90556	26032	2	{n=4}
-177582	集合论	65536	205135	3	{n=0}
-177583	开门	84725	24320	2	{v=9, vd=0}
-177584	打算	84405	25171	2	{n=9, v=11, vn=2}
-177586	甘苦	115458	29976	2	{an=0, n=1}
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-177589	高丽纸	65536	229144	3	{n=0}
-177590	陪绑	65536	38506	3	{v=0}
-177594	沙头	92905	27801	1	null
-177595	开间	65536	24320	3	{n=0}
-177596	纵穿	65536	32437	3	{v=2}
-177597	礼金	65536	31036	3	{n=15}
-177599	开闸	65536	24320	3	{v=0, vn=2}
-177600	气味	96726	27668	2	{n=1}
-177602	特使	65536	29305	3	{n=13}
-177603	松花	96079	26494	2	{n=0}
-177604	适于	65536	36866	3	{v=3}
-177607	胸脯	65536	33016	3	{n=4}
-177609	气呼	105558	27668	1	null
-177610	香港脚	65536	226392	3	{n=0}
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-177612	译码	131230	35793	2	{n=0}
-177613	死板	99862	27515	2	{a=0, an=1}
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-177619	有失	85385	26377	2	{v=2}
-177620	民庭	65536	27665	3	{j=0}
-177621	雁翎	124795	38593	1	null
-177622	有头	96140	26377	1	null
-177624	量化	65536	37327	3	{v=4, vd=0, vn=2}
-177627	开阔	87967	24320	2	{a=5, an=0, v=13, vn=1}
-177628	消愁	65536	28040	3	{v=0}
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-177632	面包车	65536	215226	3	{n=4}
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-177642	运动衫	65536	182535	3	{n=0}
-177644	胸腔	65536	33016	3	{n=0}
-177645	风吹雨	139955	226411	1	null
-177649	焦雷	65536	28966	3	{n=0}
-177654	视为	122507	35270	2	{v=21}
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-177657	查考	65536	26597	3	{v=0}
-177660	毛泽	106846	27611	1	null
-177670	杂面	65536	26434	3	{n=0}
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-177701	领导者	65536	211904	3	{n=12}
-177702	阐释	65536	38416	3	{v=3, vn=2}
-177703	游戏	109739	28216	2	{n=7, v=1, vn=1}
-177704	良人	65536	33391	3	{n=0}
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-177712	长江路	65536	226320	3	{ns=5}
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-177717	新曹	65536	26032	3	{ns=0}
-177719	额角	65536	39069	3	{n=0}
-177720	驼绒	65536	39548	3	{n=0}
-177722	铸造	139467	38136	2	{v=3, vn=3}
-177723	马拉若	142376	230219	1	null
-177730	靠不	143946	38752	1	null
-177732	新月	65536	26032	3	{n=2}
-177733	题字	65536	39064	3	{n=1, v=1, vn=1}
-177737	气哼	105433	27668	1	null
-177740	沙姆	100389	27801	1	null
-177741	雷达表	65536	211992	3	{n=0}
-177742	甲方	65536	30002	3	{n=8}
-177744	闷罐	124986	38391	1	null
-177747	革命者	65536	166562	3	{n=1}
-177748	米价	65536	31859	3	{n=0}
-177751	深受	65536	28145	3	{v=41}
-177752	灵武	108403	28789	1	null
-177753	正字	98156	27491	2	{n=0}
-177756	驶离	65536	39542	3	{v=0}
-177758	胸臆	65536	33016	3	{n=1}
-177759	雇佣观	134524	163701	1	null
-177763	游手	108162	28216	1	null
-177766	韵腹	65536	38901	3	{n=0}
-177768	校舍	65536	26657	3	{n=8}
-177770	理屈	99324	29702	1	null
-177772	统辖	65536	32479	3	{v=0}
-177773	有始	96159	26377	1	null
-177776	比索	65536	27604	3	{n=27, q=3}
-177777	革职	65536	38761	3	{v=0}
-177779	繁难	65536	32321	3	{a=0}
-177781	魔掌	65536	39764	3	{n=0}
-177782	新机	98371	26032	2	{n=1}
-177784	煤成	104177	29028	1	null
-177785	足银	65536	36275	3	{n=0}
-177786	课程	118992	35838	2	{n=22}
-177788	角儿	65536	35282	3	{n=0}
-177789	课税	65536	35838	3	{n=0}
-177792	鸡冠菜	65536	214131	3	{n=0}
-177793	鹤立	127227	40548	1	null
-177795	质数	65536	36136	3	{n=0}
-177796	河西	108382	27827	2	{ns=45}
-177798	无政	95919	26080	1	null
-177800	活捉	65536	27963	3	{v=2}
-177801	迫降	65536	36843	3	{v=4}
-177802	笑意	65536	31505	3	{n=0}
-177803	正安	104579	27491	1	null
-177804	无故	65536	26080	3	{d=1}
-177805	新村	65536	26032	3	{n=27, ns=0}
-177806	高新科	141527	235147	1	null
-177807	无效	65536	26080	3	{a=1, ad=0, v=13, vd=0, vn=0}
-177808	法塔	92485	27861	1	null
-177811	无敌	65536	26080	3	{v=3, vn=0}
-177813	浮报	65536	28014	3	{v=0}
-177814	锤骨	65536	38180	3	{n=0}
-177815	杂音	65536	26434	3	{n=0}
-177817	正宗	65536	27491	3	{b=2}
-177818	量变	65536	37327	3	{n=2}
-177819	防护门	65536	220855	3	{n=0}
-177820	正定	104585	27491	2	{ns=0}
-177825	贴金	65536	36148	3	{v=1, vn=0}
-177826	爱丁	110766	29233	1	null
-177827	收载	65536	25910	3	{v=1}
-177828	荣记	65536	33635	3	{v=0}
-177829	福气	65536	31119	3	{a=1, n=5}
-177830	观众	128384	35266	2	{n=217}
-177833	遇险	65536	36935	3	{v=1, vn=0}
-177834	玉器	65536	29577	3	{n=4}
-177835	爱上	65536	29233	3	{v=0}
-177836	质料	65536	36136	3	{n=0}
-177838	爱不	96007	29233	1	null
-177839	诸葛	133725	35832	2	{nr=0}
-177844	高压线	65536	230502	3	{n=1}
-177845	麝香	65536	40605	3	{n=0}
-177846	账面	65536	36134	3	{n=2}
-177847	无数	65536	26080	3	{a=0, m=27}
-177852	鼎盛	65536	40718	3	{z=3}
-177853	小鲵	65536	23567	3	{n=0}
-177854	打粥	65536	25171	3	{v=0}
-177857	腰花	65536	33136	3	{n=0}
-177862	纯小	117430	32431	1	null
-177864	组长	65536	32452	3	{n=23}
-177865	贪嘴	65536	36138	3	{a=0}
-177871	鹊桥相	147421	170364	1	null
-177873	讨账	65536	35752	3	{vn=0}
-177875	预备金	65536	216510	3	{n=1}
-177881	新枝	65536	26032	3	{n=1}
-177883	田北	65536	30000	3	{nr=0}
-177886	爱丽	113337	29233	1	null
-177889	韵致	65536	38901	3	{n=1}
-177893	气喘	105691	27668	2	{n=1}
-177896	木盒	65536	26408	3	{n=0}
-177898	民心	105519	27665	2	{n=22}
-177900	灯油	65536	28783	3	{n=0}
-177904	鸡皮鹤	146009	223617	1	null
-177905	避蚊	137775	36991	1	null
-177909	瓦莱	112748	29926	1	null
-177910	骗税	65536	39575	3	{v=2, vn=0}
-177911	春运	100062	26149	2	{j=17, n=1}
-177914	暗门	65536	26263	3	{n=0}
-177916	深呼	108898	28145	1	null
-177918	遇难	65536	36935	3	{v=3, vn=1}
-177920	无方	65536	26080	3	{v=0}
-177921	负反	115076	36127	1	null
-177926	灵气	65536	28789	3	{n=3}
-177930	驼群	65536	39548	3	{n=0}
-177931	象鼻	119843	35937	1	null
-177932	校花	65536	26657	3	{n=0}
-177938	田华	65536	30000	3	{nr=4, nz=0}
-177939	田协	65536	30000	3	{j=0}
-177940	灯泡	65536	28783	3	{n=2}
-177941	纯属	65536	32431	3	{v=3}
-177944	视作	65536	35270	3	{v=0}
-177945	死棋	65536	27515	3	{n=0}
-177949	杂项	65536	26434	3	{n=0}
-177952	球市	65536	29699	3	{n=1}
-177953	文科	88861	25991	2	{n=0}
-177954	素描	65536	32032	3	{n=3}
-177955	现年	65536	29616	3	{n=7}
-177956	自然科	124399	215142	1	null
-177960	文秘	65536	25991	3	{n=1}
-177961	译神	65536	35793	3	{nz=0}
-177963	负号	65536	36127	3	{n=0}
-177964	无日	94065	26080	2	{d=0}
-177967	松萝	65536	26494	3	{nr=0}
-177969	毒辣	89881	27602	2	{a=0}
-177974	责问	65536	36131	3	{v=0, vn=0}
-177976	陶公	138689	38518	1	null
-177978	隘路	65536	38552	3	{n=0}
-177979	香蕉苹	139407	232306	1	null
-177981	无时	94067	26080	1	null
-177983	鞭辟	143621	38829	1	null
-177986	锻造	65536	38203	3	{v=1, vn=0}
-177994	组阁	65536	32452	3	{v=2, vn=0}
-177997	正屋	65536	27491	3	{n=0}
-177999	民怨	99212	27665	2	{n=0}
-178000	铃铛	65536	38083	3	{n=0}
-178005	无明	91379	26080	1	null
-178010	附加语	65536	188982	3	{n=0}
-178011	爱人	65536	29233	3	{n=13}
-178013	阻击	137134	38459	2	{v=1}
-178018	风险金	65536	243355	3	{n=2}
-178024	组队	65536	32452	3	{v=4}
-178031	盛宴	65536	30427	3	{n=0}
-178034	适值	65536	36866	3	{v=0}
-178036	知识	118059	30693	2	{b=1, n=207}
-178037	邻近	65536	37051	3	{a=1, v=3, vn=2}
-178040	跟读	65536	36319	3	{v=0}
-178044	高级社	65536	241538	3	{n=2}
-178045	颜色	65536	39068	3	{n=8}
-178047	新桃	93972	26032	1	null
-178050	陶冶	138296	38518	2	{v=1, vn=0}
-178051	杂食	102510	26434	2	{n=0}
-178053	种族	120431	31181	2	{n=13}
-178057	荒丘	65536	33618	3	{n=1}
-178060	烟子	65536	28895	3	{n=0}
-178062	陋规	65536	38475	3	{n=0}
-178063	文稿	65536	25991	3	{n=8}
-178067	贪图	65536	36138	3	{v=2, vn=1}
-178071	部下	65536	37096	3	{n=2}
-178073	验尸	65536	39564	3	{v=0}
-178076	高级神	134473	241538	1	null
-178079	闪石	65536	38378	3	{n=0}
-178081	新桥	81206	26032	1	null
-178086	汉简	65536	27721	3	{n=1}
-178089	甘蓝	65536	29976	3	{n=1}
-178090	薄父	123081	34180	1	null
-178091	核算	65536	26680	3	{v=3, vn=8}
-178092	牛市	65536	29275	3	{n=4}
-178093	脸软	65536	33080	3	{a=0}
-178095	猪蹄	65536	29482	3	{n=0}
-178097	磨光	113349	30952	2	{v=0}
-178098	风速表	65536	241745	3	{n=0}
-178099	特兰	99909	29305	1	null
-178100	默不	148128	40664	1	null
-178104	销蚀	65536	38144	3	{v=0}
-178107	薄片	65536	34180	3	{n=0}
-178111	甲未	65536	30002	3	{m=0}
-178112	本文	65536	26412	3	{n=0, r=6}
-178114	战鼓	65536	25112	3	{n=1}
-178120	贺电	65536	36154	3	{n=6}
-178121	明线	100142	26126	2	{n=0}
-178124	机米	65536	26426	3	{n=0}
-178125	田吉	65536	30000	3	{nr=0}
-178126	无暇	65536	26080	3	{d=7}
-178127	里外	135174	37324	2	{f=0, n=2}
-178128	明细	86046	26126	2	{a=0}
-178132	点菜	65536	28857	3	{v=0}
-178134	沙子	65536	27801	3	{n=1}
-178136	角力	65536	35282	3	{v=0}
-178137	长清镇	65536	226742	3	{ns=0}
-178140	特写	65536	29305	3	{n=1}
-178141	角加	115686	35282	1	null
-178144	贫病	134548	36139	1	null
-178146	荒乱	65536	33618	3	{a=0}
-178147	甘蔗	113191	29976	2	{n=2}
-178149	角动	115260	35282	1	null
-178151	赛事	65536	36187	3	{n=33}
-178153	豆乳	65536	35910	3	{n=0}
-178156	民情	65536	27665	3	{n=7}
-178157	里头	65536	37324	3	{f=0}
-178163	狂风	109488	29378	2	{n=5}
-178164	鲁斯	144635	40065	1	null
-178165	职能	65536	32844	3	{n=68}
-178166	有孔	87825	26377	1	null
-178169	铅刀	140661	38085	1	null
-178173	阻力	65536	38459	3	{n=6}
-178174	狂飙	97269	29378	2	{n=0}
-178178	现当	114666	29616	1	null
-178179	温故	100308	28201	1	null
-178181	新棉	65536	26032	3	{n=0}
-178182	责难	65536	36131	3	{v=0, vn=0}
-178183	理工	111719	29702	1	null
-178184	本族	87289	26412	1	null
-178186	译稿	65536	35793	3	{n=0}
-178187	院墙	65536	38498	3	{n=1}
-178189	都镇	130848	37117	1	null
-178190	苍蝇	123583	33485	2	{n=4}
-178193	现形	65536	29616	3	{v=1, vn=0}
-178196	甲板	65536	30002	3	{n=1}
-178197	甘蕉	65536	29976	3	{n=0}
-178199	气囊	65536	27668	3	{n=0}
-178201	流放	65536	27969	3	{v=0, vn=1}
-178203	比绍	102674	27604	2	{ns=0}
-178206	牛年	94067	29275	2	{t=17}
-178207	鸿毛	65536	40511	3	{n=0}
-178209	瓦蓝	65536	29926	3	{z=0}
-178211	统配	65536	32479	3	{v=0, vn=0}
-178215	小鸟	65536	23567	3	{n=8}
-178216	现役	65536	29616	3	{b=12, n=0}
-178217	小鸡	65536	23567	3	{n=2}
-178220	黄花菜	65536	239071	3	{n=0}
-178221	灵活	107858	28789	2	{a=35, ad=5, an=0}
-178223	气团	65536	27668	3	{n=0}
-178224	文章	65536	25991	3	{n=119, vn=1}
-178226	驼背	65536	39548	3	{n=0}
-178229	文童	65536	25991	3	{n=0}
-178230	民意	99079	27665	2	{n=11}
-178232	驾驶舱	65536	187382	3	{n=0}
-178233	辞岁	65536	36766	3	{v=0}
-178234	消损	65536	28040	3	{v=0}
-178235	贫瘠	65536	36139	3	{a=5, an=1}
-178236	沙家	100205	27801	1	null
-178237	特出	65536	29305	3	{a=0}
-178238	流散	65536	27969	3	{v=1, vn=0}
-178242	鸭嘴笔	65536	174887	3	{n=0}
-178244	爱侣	65536	29233	3	{n=2}
-178245	温文	107434	28201	1	null
-178247	质朴	128498	36136	2	{a=4, an=0}
-178249	文竹	65536	25991	3	{n=0}
-178250	邻邦	65536	37051	3	{n=4}
-178251	民愤	65536	27665	3	{n=0}
-178252	没空	65536	27809	3	{v=0}
-178253	特刊	65536	29305	3	{n=0}
-178260	烟尘	65536	28895	3	{n=3}
-178261	有害	65536	26377	3	{a=9}
-178262	残货	65536	27531	3	{n=0}
-178266	松蕈	65536	26494	3	{n=0}
-178269	院士	65536	38498	3	{n=30, nr=0}
-178271	皇甫	65536	30343	3	{nr=0}
-178274	无望	65536	26080	3	{v=4, vn=0}
-178276	文笔	65536	25991	3	{n=2}
-178277	颁行	65536	39041	3	{v=1, vn=0}
-178278	无期	95694	26080	2	{b=0, j=1}
-178280	磨刀	109072	30952	2	{v=1}
-178282	税纪	65536	31246	3	{n=0}
-178283	防盗门	65536	226026	3	{n=1}
-178284	顽童	65536	39037	3	{n=3}
-178286	特别	110969	29305	2	{a=99, b=1, d=424}
-178291	无本	100187	26080	1	null
-178293	踏花	120957	36367	1	null
-178294	赛会	65536	36187	3	{n=1}
-178296	饱学	145642	39281	1	null
-178297	特制	65536	29305	3	{b=5, v=1}
-178298	鄙陋	65536	37145	3	{a=0}
-178299	甘薯	65536	29976	3	{n=0}
-178301	铝矾	138410	38109	1	null
-178302	铝矿	65536	38109	3	{n=1}
-178303	鸭掌	65536	40493	3	{n=0}
-178304	球形	65536	29699	3	{n=0}
-178305	无机	98903	26080	2	{b=2}
-178306	部件	65536	37096	3	{n=9}
-178307	谷地	65536	35895	3	{n=0}
-178310	看病	107339	30475	2	{v=11, vn=1}
-178313	认清	65536	35748	3	{v=13}
-178314	无权	65536	26080	3	{v=8}
-178323	狂饮	65536	29378	3	{v=1}
-178326	福清	116190	31119	2	{ns=0}
-178330	沙尔	91404	27801	1	null
-178333	谷坊	65536	35895	3	{n=0}
-178334	沙尘	101915	27801	2	{n=0}
-178337	村风	65536	26449	3	{n=0}
-178338	魔方	65536	39764	3	{n=0}
-178340	部优	65536	37096	3	{b=0}
-178342	附加费	65536	188982	3	{n=2}
-178343	童装	65536	31461	3	{n=0}
-178344	无条	99960	26080	1	null
-178350	小麦	74668	23567	2	{n=25}
-178354	磨削	65536	30952	3	{v=0}
-178355	马尔维	133619	228502	1	null
-178358	理应	65536	29702	3	{v=9, vd=0}
-178360	新楼	65536	26032	3	{n=0}
-178365	时辰	65536	26102	3	{n=0}
-178371	素数	65536	32032	3	{n=1}
-178373	莫索	117176	33707	1	null
-178374	阵地	137120	38453	2	{n=28}
-178376	沙层	65536	27801	3	{n=0}
-178377	铲除	65536	38130	3	{v=5}
-178380	小黄	67059	23567	1	null
-178381	米兰	65536	31859	3	{ns=9, nz=1}
-178384	错处	65536	38169	3	{n=0}
-178387	米其	115759	31859	1	null
-178388	时过	98076	26102	1	null
-178391	遮阳	138527	36974	2	{v=0}
-178392	观光	131085	35266	2	{v=6, vn=5}
-178393	部位	65536	37096	3	{n=9}
-178395	来讲	65536	26469	3	{u=7, v=6}
-178396	比美	65536	27604	3	{v=0}
-178397	时运	65536	26102	3	{n=0}
-178399	译笔	65536	35793	3	{n=0}
-178400	毒酒	65536	27602	3	{n=0}
-178401	球心	65536	29699	3	{n=0}
-178402	称雄	65536	31216	3	{v=1}
-178403	鸿沟	65536	40511	3	{n=1}
-178404	特务	97012	29305	2	{n=1}
-178408	来访	90902	26469	2	{v=48, vn=8}
-178409	正巧	65536	27491	3	{d=1}
-178410	核糖	97892	26680	2	{n=0}
-178412	打结	65536	25171	3	{v=0}
-178416	钨钢	65536	38056	3	{n=0}
-178420	洋布	65536	27915	3	{n=0}
-178423	沙山	65536	27801	3	{n=0}
-178424	气垫	93855	27668	2	{n=1}
-178426	流星	106168	27969	2	{n=0}
-178429	错失	127606	38169	2	{n=0, v=0}
-178431	高压脊	65536	230502	3	{n=1}
-178436	笑掉	118852	31505	1	null
-178443	无柄	98681	26080	1	null
-178444	镜架	65536	38236	3	{n=0}
-178445	松藻	65536	26494	3	{ns=0}
-178447	钨铁	65536	38056	3	{n=0}
-178449	萨赫	65536	33832	3	{nz=0}
-178450	灵渠	65536	28789	3	{ns=0}
-178452	日线	98257	26085	1	null
-178456	蜂鸟	65536	34562	3	{n=0}
-178460	蜂鸣	129039	34562	1	null
-178461	来说	65536	26469	3	{c=0, u=118, v=14, y=1}
-178463	豪爽	65536	35946	3	{a=3, an=0}
-178465	谷城	132746	35895	2	{ns=0}
-178466	素族	65536	32032	3	{n=0}
-178467	松蘑	65536	26494	3	{n=0}
-178468	日经	95178	26085	2	{j=5}
-178470	脸部	65536	33080	3	{n=2}
-178474	量器	65536	37327	3	{n=0}
-178475	饲草	65536	39282	3	{n=0}
-178476	时速	65536	26102	3	{n=13}
-178477	频繁	65536	39057	3	{a=24, ad=10, an=0}
-178479	饱尝	65536	39281	3	{v=2}
-178484	开饭	65536	24320	3	{v=0, vn=0}
-178488	素日	65536	32032	3	{n=0}
-178490	正常	105905	27491	2	{a=83, ad=12, an=0}
-178491	队伍	65536	38431	3	{n=207}
-178492	河谷	65536	27827	3	{n=0}
-178494	蓝剑	65536	34013	3	{nz=2}
-178495	革命英	125799	166562	1	null
-178496	遮障	65536	36974	3	{n=0}
-178497	本月	98899	26412	2	{r=5, t=49}
-178500	须要	65536	39035	3	{v=1}
-178504	韶山路	65536	167456	3	{n=1, ns=0}
-178505	心静	89063	24515	2	{nr=0, v=0}
-178506	比翼	105294	27604	1	null
-178508	纪念邮	112304	157968	1	null
-178509	开馆	65536	24320	3	{v=5, vn=10}
-178511	铲雪	134360	38130	1	null
-178512	蜡板	65536	34593	3	{n=0}
-178513	知趣	65536	30693	3	{a=0}
-178514	种果	65536	31181	3	{v=2, vn=1}
-178516	温暖	108099	28201	2	{a=30, an=99, n=1, v=14, vn=0}
-178518	称霸	65536	31216	3	{v=0, vn=0}
-178520	本期	65536	26412	3	{r=3}
-178525	纯度	65536	32431	3	{n=3}
-178527	河豚	65536	27827	3	{n=0}
-178528	松虎	65536	26494	3	{n=0}
-178529	知足	114785	30693	2	{a=4}
-178532	本末	102616	26412	2	{n=2}
-178533	本本	103091	26412	2	{n=3}
-178534	民房	65536	27665	3	{n=1}
-178535	胶皮	65536	33014	3	{n=0}
-178536	雁荡	65536	38593	3	{ns=1}
-178537	铅印	65536	38085	3	{v=0}
-178538	铁板钉	122461	220566	1	null
-178541	蜡果	65536	34593	3	{n=0}
-178542	钻塔	65536	38075	3	{n=2}
-178544	邻里	65536	37051	3	{n=7}
-178546	烧纸	65536	28903	3	{n=0, v=0}
-178549	理当	112201	29702	2	{v=2}
-178550	足音	65536	36275	3	{n=0}
-178552	顾不	144642	39038	1	null
-178553	锅铲	65536	38149	3	{n=0}
-178554	素昧	118573	32032	1	null
-178555	龟纹	65536	40863	3	{n=0}
-178557	特区	65536	29305	3	{j=0, n=87}
-178559	无核	92682	26080	1	null
-178560	饥肠	128839	39269	1	null
-178561	题库	65536	39064	3	{n=0}
-178562	泥足	104936	27877	1	null
-178563	讨还	65536	35752	3	{v=0}
-178564	销行	65536	38144	3	{v=0}
-178566	洋底	65536	27915	3	{s=1}
-178567	钱江	65536	38065	3	{nr=3, ns=2}
-178568	返璞	133028	36820	1	null
-178570	本村	65536	26412	3	{r=6}
-178572	法子	65536	27861	3	{n=1}
-178573	烧结	65536	28903	3	{v=1, vn=0}
-178576	月食	65536	26376	3	{n=0}
-178579	米制	65536	31859	3	{n=0}
-178586	本条	65536	26412	3	{r=2}
-178588	镜框	65536	38236	3	{n=1}
-178590	本来	84375	26412	2	{b=3, d=24}
-178591	额贺	65536	39069	3	{nr=0}
-178594	法学	105212	27861	2	{n=11}
-178596	蜡染	65536	34593	3	{vn=0}
-178598	顾主	65536	39038	3	{n=0}
-178599	跟踪	124275	36319	2	{v=12, vd=0, vn=7}
-178601	正座	65536	27491	3	{n=0}
-178602	钓钩	65536	38035	3	{n=0}
-178605	查获	65536	26597	3	{v=29, vn=1}
-178607	贪多	65536	36138	3	{v=1}
-178609	痛经	65536	30171	3	{n=0}
-178611	深圳	106395	28145	2	{ns=90}
-178613	玉女	65536	29577	3	{n=0}
-178617	看相	65536	30475	3	{v=1}
-178619	皇皇	65536	30343	3	{a=0, z=1}
-178620	贪大	126880	36138	1	null
-178621	打群	88281	25171	1	null
-178622	贪天	134560	36138	1	null
-178627	钉锤	65536	38025	3	{n=0}
-178629	闭环	65536	38381	3	{n=0}
-178630	油乎	108391	27833	1	null
-178631	种树	65536	31181	3	{v=1}
-178633	死死	104040	27515	2	{d=0}
-178636	看看	65536	30475	3	{v=34}
-178641	牛性	65536	29275	3	{n=0}
-178642	横琴	65536	27178	3	{ns=0}
-178643	质检	132989	36136	2	{j=2, v=0, vn=0}
-178644	法官	65536	27861	3	{n=11}
-178645	浮日	65536	28014	3	{nz=0}
-178646	法定	108540	27861	2	{b=29, d=0}
-178647	毛烘	97962	27611	1	null
-178648	驼色	65536	39548	3	{n=0}
-178649	法宝	65536	27861	3	{n=1}
-178652	阿尔萨	136324	216535	1	null
-178655	难以言	128241	211429	1	null
-178658	童言	115477	31461	1	null
-178659	心音	65536	24515	3	{n=1}
-178667	龟缩	65536	40863	3	{v=0}
-178668	爱克	111887	29233	1	null
-178674	法家	65536	27861	3	{n=0}
-178679	比肩	93971	27604	1	null
-178681	胶着	117556	33014	1	null
-178684	纵线	65536	32437	3	{n=1}
-178685	看眼	105028	30475	1	null
-178687	煤斗	96335	29028	2	{n=0}
-178688	明胶	65536	26126	3	{n=1, nz=0}
-178689	闯进	65536	38383	3	{v=2}
-178692	营生	65536	33829	3	{v=1, vn=0}
-178697	里子	65536	37324	3	{n=0}
-178700	豪猪	65536	35946	3	{n=0}
-178701	油井	65536	27833	3	{n=2}
-178705	正式	65536	27491	3	{a=41, ad=141, b=1, d=2, vn=0}
-178706	武汉	105385	27494	2	{ns=86}
-178708	打翻	78309	25171	2	{v=0}
-178709	手鼓	65536	25163	3	{n=0}
-178711	理念	65536	29702	3	{n=9}
-178712	魔术	143077	39764	2	{n=7}
-178714	贫矿	65536	36139	3	{n=0}
-178715	闻名遐	138208	164656	1	null
-178717	机组	65536	26426	3	{n=22}
-178718	沉船	65536	27785	3	{n=1, v=0, vn=0}
-178720	足额	65536	36275	3	{d=0, v=1, vd=8}
-178726	油亮	65536	27833	3	{z=0}
-178727	特古	101988	29305	1	null
-178728	正弦	99673	27491	2	{n=0}
-178730	无棣	98739	26080	1	null
-178733	月饼	65536	26376	3	{n=2}
-178735	盛年	65536	30427	3	{t=0}
-178741	色泽	65536	33394	3	{n=1}
-178747	气壮	103528	27668	1	null
-178748	机绣	65536	26426	3	{n=0}
-178750	消散	65536	28040	3	{v=0}
-178751	魔杖	65536	39764	3	{n=0}
-178755	钻天	133912	38075	1	null
-178758	谷壳	65536	35895	3	{n=0}
-178760	本栏	65536	26412	3	{r=12}
-178761	理性	99371	29702	2	{b=0, n=8}
-178764	打耳	94025	25171	1	null
-178766	钻头	65536	38075	3	{n=0}
-178773	正当	106036	27491	2	{a=25, ad=1, d=1, p=13, v=1, vn=0}
-178774	莫纳	128630	33707	1	null
-178775	视力	117621	35270	2	{n=1}
-178778	本校	65536	26412	3	{r=2}
-178780	素有	65536	32032	3	{v=9}
-178782	活期	65536	27963	3	{b=2}
-178784	素服	65536	32032	3	{n=0}
-178785	锋面	65536	38155	3	{n=0}
-178786	死气	98582	27515	1	null
-178787	灰白	99014	28784	2	{z=0}
-178793	锁边	138775	38145	2	{v=0}
-178796	荒僻	65536	33618	3	{a=0}
-178799	油价	65536	27833	3	{n=7}
-178800	磨合	113381	30952	2	{v=2, vn=4}
-178801	机缘	65536	26426	3	{n=0}
-178802	青年装	65536	221144	3	{n=0}
-178806	心领	80915	24515	1	null
-178810	新款	65536	26032	3	{b=1}
-178813	降水量	65536	202980	3	{n=0}
-178815	种棉	65536	31181	3	{v=1}
-178816	树龄	65536	26641	3	{n=0}
-178817	本案	65536	26412	3	{r=10}
-178818	死水	106403	27515	2	{n=2}
-178823	素朴	65536	32032	3	{a=0}
-178824	沙市	106902	27801	2	{ns=0}
-178832	没精	103155	27809	1	null
-178833	烟幕	108350	28895	2	{n=0}
-178834	温柔	65536	28201	3	{a=6, ad=1, an=1}
-178836	缺血	65536	32570	3	{v=2}
-178838	误食	65536	35823	3	{v=0}
-178842	法属	106379	27861	1	null
-178843	爱出	94229	29233	1	null
-178846	灯火	95598	28783	2	{n=5}
-178848	称颂	65536	31216	3	{v=6}
-178849	新步	65536	26032	3	{n=0}
-178851	素材	65536	32032	3	{n=3}
-178853	荣辱	129604	33635	2	{n=4}
-178855	赛克	133806	36187	1	null
-178857	良医	65536	33391	3	{n=0}
-178860	鼎立	65536	40718	3	{v=0}
-178864	酱黄	129424	37233	1	null
-178865	田园	99990	30000	2	{n=9, nr=0}
-178867	谋职	65536	35851	3	{v=1, vn=0}
-178871	缺衣	121158	32570	1	null
-178872	素来	65536	32032	3	{d=0}
-178873	正德	65536	27491	3	{t=0}
-178874	航路	65536	33322	3	{n=0}
-178875	盛开	65536	30427	3	{v=11, vn=0}
-178876	限界	65536	38480	3	{n=0}
-178877	横生	99049	27178	1	null
-178879	现成	99057	29616	2	{b=8, d=0}
-178880	特命	65536	29305	3	{n=1, vn=1}
-178882	院子	65536	38498	3	{n=5}
-178883	种植	120467	31181	2	{v=53, vn=30}
-178884	醉醺	122104	37257	1	null
-178885	油位	93518	27833	1	null
-178888	方针	65536	26041	3	{n=224}
-178892	键钮	65536	38190	3	{n=0}
-178897	餐桌	65536	39184	3	{n=9}
-178898	闻讯	129012	38395	2	{v=7}
-178903	死沉	65536	27515	3	{z=0}
-178905	汉纳	65536	27721	3	{nz=0}
-178907	铸铁	65536	38136	3	{n=0}
-178908	洋快	90002	27915	1	null
-178912	风行草	144731	239742	1	null
-178916	雕红	135011	38613	1	null
-178918	部党	126644	37096	1	null
-178919	打胎	65536	25171	3	{v=0}
-178923	风速计	65536	241745	3	{n=0}
-178926	现房	65536	29616	3	{n=1}
-178930	默克	134738	40664	1	null
-178931	线形	122373	32447	2	{n=0}
-178932	田地	65536	30000	3	{n=2}
-178933	看破	106005	30475	2	{v=0}
-178938	莫罗	126173	33707	1	null
-178941	机群	65536	26426	3	{n=1}
-178943	贪婪	128527	36138	2	{a=1, an=1}
-178947	正态	105039	27491	1	null
-178948	里屋	65536	37324	3	{n=0}
-178949	方铅	88903	26041	1	null
-178951	艺途	65536	33402	3	{n=1}
-178963	荒冢	65536	33618	3	{n=0}
-178964	笑料	65536	31505	3	{n=0}
-178965	理想	113861	29702	2	{a=32, an=2, n=37}
-178968	来路	103697	26469	2	{n=1}
-178969	适口	65536	36866	3	{a=0}
-178970	有幸	65536	26377	3	{v=9, vd=0}
-178971	田块	65536	30000	3	{n=1}
-178974	驯良	65536	39535	3	{a=0}
-178975	田坛	65536	30000	3	{j=0, n=0}
-178977	预备队	65536	216510	3	{n=0}
-178979	错字	65536	38169	3	{n=4}
-178980	江苏	97510	27743	2	{ns=117}
-178981	适可	125343	36866	1	null
-178984	残迹	65536	27531	3	{n=0}
-178986	木笔	65536	26408	3	{n=0}
-178987	院容	65536	38498	3	{n=1}
-178991	王谢	112202	29579	1	null
-178993	有序	100973	26377	2	{a=23, ad=7, an=0, b=0, v=1}
-178997	糖瓜	65536	31958	3	{n=0}
-178999	有底	65536	26377	3	{v=0}
-179001	良友	65536	33391	3	{n=1}
-179002	荒凉	65536	33618	3	{a=7, an=0}
-179006	适合	65536	36866	3	{a=1, v=47}
-179008	默写	65536	40664	3	{v=0, vn=0}
-179011	烧肉	65536	28903	3	{n=0}
-179014	驻留	65536	39547	3	{v=0}
-179015	铸锭	65536	38136	3	{n=0}
-179016	田垄	65536	30000	3	{n=0, ns=0}
-179017	方锉	65536	26041	3	{n=0}
-179021	新民	99398	26032	2	{ns=1, nz=0}
-179023	照片	65536	29031	3	{n=116}
-179024	新气	83504	26032	1	null
-179025	陪葬	65536	38506	3	{v=0}
-179027	来踪	102247	26469	1	null
-179029	机翼	65536	26426	3	{n=1}
-179032	跟进	65536	36319	3	{v=0, vn=0}
-179033	规行	121836	35268	1	null
-179042	面无血	130928	220053	1	null
-179045	木筏	65536	26408	3	{n=0}
-179049	球手	65536	29699	3	{n=0}
-179051	闷葫	128266	38391	1	null
-179052	消暑	65536	28040	3	{v=0}
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-179056	迎战	65536	36814	3	{v=3, vn=0}
-179058	遮风	133400	36974	1	null
-179061	知过	114393	30693	1	null
-179063	求见	65536	27714	3	{v=0}
-179064	鹦鹉螺	65536	186499	3	{n=0}
-179068	纯情	65536	32431	3	{a=0, an=0}
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-179072	果酒	65536	26524	3	{n=2}
-179076	深处	65536	28145	3	{s=27}
-179078	田埂	65536	30000	3	{n=1}
-179079	盘子	65536	30424	3	{n=1}
-179080	邪魔	65536	37034	3	{n=0}
-179081	死活	65536	27515	3	{d=0, n=1}
-179082	餐椅	65536	39184	3	{n=1}
-179084	萨迦	126574	33832	1	null
-179087	盘存	65536	30424	3	{v=0}
-179088	议程	65536	35758	3	{n=13}
-179090	部分	65536	37096	3	{m=135, n=185}
-179091	煤末	65536	29028	3	{n=0}
-179094	木简	65536	26408	3	{n=1}
-179096	温棚	65536	28201	3	{n=3}
-179097	求解	65536	27714	3	{v=0}
-179098	笑星	65536	31505	3	{n=0}
-179100	深夜	65536	28145	3	{t=10}
-179101	观后	127620	35266	1	null
-179102	球技	65536	29699	3	{n=1}
-179103	果酱	65536	26524	3	{n=0}
-179107	食品袋	65536	210106	3	{n=1}
-179108	鸣禽	65536	40483	3	{n=2}
-179110	果酸	65536	26524	3	{n=0}
-179113	赛前	65536	36187	3	{f=1, t=8}
-179115	沙弥	65536	27801	3	{n=0}
-179116	豆制	132512	35910	1	null
-179120	河身	65536	27827	3	{n=0}
-179127	木管	102868	26408	1	null
-179128	线性	117498	32447	2	{n=0}
-179131	颂词	65536	39042	3	{n=0}
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-179135	童话	119296	31461	2	{n=15}
-179136	比色	91008	27604	1	null
-179137	胜西	65536	32988	3	{nr=0}
-179138	有张	95870	26377	1	null
-179139	球报	108585	29699	1	null
-179143	木箱	65536	26408	3	{n=0}
-179144	视同	131743	35270	1	null
-179145	玉宇	104883	29577	2	{n=1}
-179146	责骂	65536	36131	3	{v=0}
-179148	败毒	65536	36133	3	{v=0}
-179149	盛怒	65536	30427	3	{v=1}
-179150	武清	104799	27494	1	null
-179151	贺礼	65536	36154	3	{n=6}
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-179156	满登	101232	28385	1	null
-179157	新沙	99382	26032	1	null
-179158	统销	65536	32479	3	{v=0}
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-179164	陨石雨	65536	167458	3	{n=2}
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-179170	马蹄金	65536	241350	3	{n=0}
-179171	锻铁	65536	38203	3	{n=0}
-179173	深奥	65536	28145	3	{a=1}
-179175	透不	121436	36879	1	null
-179176	视听	65536	35270	3	{n=3, v=0}
-179177	面面观	65536	232727	3	{n=0}
-179179	球拍	65536	29699	3	{n=0}
-179183	新河	98012	26032	2	{ns=0}
-179184	鱼腥草	65536	228279	3	{n=0}
-179191	浮标	65536	28014	3	{n=0}
-179195	跨越	131501	36328	2	{v=16, vn=2}
-179197	题意	65536	39064	3	{n=0}
-179198	鼠曲	134959	40736	1	null
-179201	知道	65536	30693	3	{v=148}
-179204	有形	96813	26377	2	{b=9}
-179205	童谣	65536	31461	3	{n=0}
-179209	雇请	65536	38599	3	{v=0}
-179212	爱卫	113102	29233	1	null
-179216	避让	65536	36991	3	{v=1, vn=0}
-179217	新法	65536	26032	3	{n=0}
-179219	铝箔	65536	38109	3	{n=0}
-179223	残部	65536	27531	3	{n=0}
-179224	禁律	65536	31105	3	{n=0}
-179225	文绉	86393	25991	1	null
-179226	避讳	65536	36991	3	{v=0}
-179228	收银	91460	25910	2	{vn=1}
-179231	游标	109732	28216	2	{n=0}
-179233	法工	105703	27861	1	null
-179234	自然经	119816	215142	1	null
-179235	爱厂	110439	29233	1	null
-179236	禁得	103986	31105	1	null
-179239	有待	65536	26377	3	{v=17}
-179241	毛猪	65536	27611	3	{n=0}
-179242	钉鞋	65536	38025	3	{n=0}
-179244	新泰	95387	26032	2	{ns=0}
-179245	贪官	126865	36138	2	{n=1}
-179246	随风转	129698	230144	1	null
-179248	教龄	65536	25945	3	{n=0}
-179249	满盘	101222	28385	2	{n=0}
-179250	饥荒	65536	39269	3	{n=1}
-179251	照猫	103080	29031	1	null
-179252	陶器	65536	38518	3	{n=0}
-179257	新泽	84255	26032	1	null
-179260	麝鼠	65536	40605	3	{n=0}
-179261	法币	65536	27861	3	{n=0}
-179262	驳船	65536	39539	3	{n=0}
-179268	法师	65536	27861	3	{n=0}
-179269	队列	65536	38431	3	{n=4}
-179270	锻锤	65536	38203	3	{n=0}
-179271	满目	101595	28385	2	{n=6}
-179272	风火轮	65536	233629	3	{n=1}
-179273	萨那	65536	33832	3	{ns=0}
-179274	谋臣	65536	35851	3	{n=0}
-179275	输气	65536	36755	3	{vn=1}
-179276	魏茨	65536	39759	3	{ns=0}
-179278	跨距	65536	36328	3	{n=1}
-179280	日臻	97096	26085	1	null
-179282	法帖	65536	27861	3	{n=0}
-179285	浮桥	65536	28014	3	{n=0}
-179286	机能	65536	26426	3	{n=2}
-179289	禁忌	110052	31105	2	{n=2, v=0}
-179290	放青	65536	25918	3	{v=0}
-179292	消极	105531	28040	2	{a=15, ad=4, an=0}
-179293	释迦	130210	37322	1	null
-179294	输氧	65536	36755	3	{v=0, vn=0}
-179295	方队	65536	26041	3	{n=9}
-179296	心驰	80917	24515	1	null
-179298	理所	110928	29702	1	null
-179301	有心	102100	26377	2	{v=0}
-179302	民政	106267	27665	2	{n=15}
-179306	黏液	65536	40655	3	{n=1}
-179310	钻孔	65536	38075	3	{v=0, vn=1}
-179314	灰碌	101551	28784	1	null
-179315	盘尼	102649	30424	1	null
-179317	方阵	65536	26041	3	{n=2}
-179321	有志	102222	26377	2	{v=0}
-179322	新派	65536	26032	3	{n=1}
-179323	豆包	65536	35910	3	{n=0}
-179328	盛情	99290	30427	2	{ad=1, d=0, n=3}
-179336	透亮	133632	36879	2	{a=0, v=1, vn=0}
-179339	闸门	65536	38392	3	{n=2}
-179340	计生	131798	35745	2	{j=9}
-179343	牙质	65536	29273	3	{n=0}
-179346	贫穷	65536	36139	3	{a=19, an=24}
-179349	满眼	65536	28385	3	{n=2}
-179350	赛区	65536	36187	3	{n=0}
-179353	阜阳	137835	38428	2	{ns=0}
-179355	航运	128327	33322	2	{n=22, v=0}
-179356	磨嘴	109400	30952	1	null
-179360	煤核	65536	29028	3	{n=0}
-179361	气孔	65536	27668	3	{n=0}
-179362	新浦	65536	26032	3	{ns=0}
-179363	谷子	65536	35895	3	{n=1}
-179364	贪小	131786	36138	1	null
-179366	残酷	100427	27531	2	{a=4, ad=1, an=0}
-179367	横眉	104676	27178	1	null
-179368	盘山	116421	30424	2	{b=1, d=0, n=0}
-179371	通信鸽	65536	213037	3	{n=0}
-179379	玉山	113203	29577	1	null
-179386	毛玻	97024	27611	1	null
-179389	默化	139946	40664	1	null
-179390	河边	65536	27827	3	{s=4}
-179393	油光	107630	27833	2	{z=0}
-179394	馆牌	65536	39302	3	{n=1}
-179395	心髓	65536	24515	3	{n=0}
-179396	航迹	65536	33322	3	{n=0}
-179401	有性	95836	26377	1	null
-179402	盛意	65536	30427	3	{n=0}
-179411	顾全	141926	39038	2	{v=0}
-179412	气宇	65536	27668	3	{n=1}
-179413	河运	65536	27827	3	{v=1, vn=0}
-179414	能见	122781	33021	1	null
-179423	里带	65536	37324	3	{n=0}
-179425	自然美	65536	215142	3	{n=2}
-179426	法度	65536	27861	3	{n=0}
-179427	证物	65536	35777	3	{n=0}
-179428	油公	106945	27833	1	null
-179429	有恃	96193	26377	1	null
-179430	阵子	65536	38453	3	{q=0}
-179433	法庭	65536	27861	3	{n=27}
-179434	航速	65536	33322	3	{n=0}
-179435	陶土	65536	38518	3	{n=0}
-179436	长安镇	65536	222010	3	{ns=0}
-179437	视唱	65536	35270	3	{v=0, vn=0}
-179439	赌窝	65536	36172	3	{n=0}
-179440	输油	125229	36755	2	{v=3, vn=0}
-179441	赌窟	65536	36172	3	{n=0}
-179442	良善	65536	33391	3	{a=0}
-179446	民族	110532	27665	2	{n=571}
-179447	打苞	65536	25171	3	{v=0}
-179448	田头	115729	30000	2	{s=1}
-179453	迎接	65536	36814	3	{v=73}
-179456	童贞	65536	31461	3	{n=0}
-179458	鸣笛	65536	40483	3	{v=2, vn=1}
-179460	闭目	138946	38381	2	{vd=1}
-179466	福特	65536	31119	3	{nz=3}
-179470	照理	97333	29031	2	{v=1}
-179472	荒原	65536	33618	3	{n=5, nz=0}
-179473	核能	96277	26680	2	{n=2}
-179475	鼠标	146449	40736	2	{n=4}
-179477	能言	125124	33021	1	null
-179479	骑缝	65536	39569	3	{n=0}
-179481	无毒	98482	26080	2	{v=3, vn=0}
-179483	无比	65536	26080	3	{z=8}
-179486	航道	65536	33322	3	{n=21}
-179487	鞭长	130753	38829	1	null
-179488	读音	65536	35835	3	{n=0}
-179489	颠倒黑	134666	165572	1	null
-179495	瓦解	114451	29926	2	{v=2, vn=0}
-179496	递补	65536	36882	3	{v=0}
-179499	胆瓶	65536	32966	3	{n=0}
-179504	洋房	65536	27915	3	{n=7}
-179506	玉峰	110976	29577	2	{nz=0}
-179507	特困	113828	29305	2	{a=0, b=79}
-179508	心魄	65536	24515	3	{n=1}
-179509	江蓠	65536	27743	3	{n=0}
-179512	有悖	102170	26377	2	{v=2}
-179513	秋田	118990	31179	2	{nr=0}
-179515	达产	65536	36798	3	{j=0, v=1}
-179516	牛排	94303	29275	2	{n=0}
-179517	里庄	133051	37324	2	{ns=0}
-179518	灵牌	65536	28789	3	{n=0}
-179519	笑柄	65536	31505	3	{n=0}
-179520	看穿	65536	30475	3	{v=0}
-179521	正房	65536	27491	3	{n=1}
-179522	煤棚	65536	29028	3	{n=0}
-179523	雌黄	65536	38604	3	{n=0}
-179526	附庸风	124081	192078	1	null
-179528	饯行	65536	39279	3	{v=0}
-179531	法式	65536	27861	3	{b=0}
-179533	里应	136695	37324	1	null
-179534	达人	126349	36798	1	null
-179535	阵容	65536	38453	3	{n=11, nr=0}
-179536	铅块	65536	38085	3	{n=1}
-179538	磁体	65536	30913	3	{n=0}
-179539	越战	65536	36234	3	{j=0}
-179544	河道	65536	27827	3	{n=6}
-179546	本次	65536	26412	3	{r=51}
-179550	毛瑟	100315	27611	1	null
-179551	自然而	118817	215142	1	null
-179554	打草	90057	25171	1	null
-179558	无氟	65536	26080	3	{b=12}
-179559	有情	102130	26377	1	null
-179560	贴题	65536	36148	3	{a=0}
-179561	队医	65536	38431	3	{n=2}
-179562	赛后	65536	36187	3	{r=0, t=4}
-179564	有惊	96207	26377	1	null
-179568	没羞	65536	27809	3	{a=0}
-179569	锡金	65536	38177	3	{ns=0}
-179571	特地	65536	29305	3	{d=8}
-179573	载畜	119472	36733	1	null
-179574	比萨	87468	27604	2	{ns=3}
-179575	求证	65536	27714	3	{v=0}
-179576	达令	128841	36798	1	null
-179579	铅垂	128187	38085	1	null
-179583	话筒	65536	35805	3	{n=2}
-179589	童趣	65536	31461	3	{n=0}
-179592	打药	65536	25171	3	{n=1, v=1}
-179594	机舱	65536	26426	3	{n=4}
-179598	针灸	136129	38024	2	{n=21, v=0}
-179605	时针	65536	26102	3	{n=0}
-179607	正投	101620	27491	1	null
-179609	龟苗	65536	40863	3	{n=0}
-179610	胆略	65536	32966	3	{n=3}
-179611	鸭梨	65536	40493	3	{n=2}
-179612	文职	65536	25991	3	{n=0}
-179616	泥金	65536	27877	3	{n=0}
-179617	民智	65536	27665	3	{n=1}
-179618	方面	98740	26041	2	{c=1, n=813}
-179620	文联	65536	25991	3	{j=12}
-179624	无污	93601	26080	1	null
-179626	藏东	65536	34255	3	{s=0}
-179628	时钟	65536	26102	3	{n=2}
-179633	有意	97715	26377	2	{d=10, v=4}
-179634	磨坊	65536	30952	3	{n=0}
-179640	顾前	140158	39038	1	null
-179641	贝母	65536	36125	3	{n=0}
-179645	里弄	65536	37324	3	{n=0}
-179646	焦黄	65536	28966	3	{z=0}
-179648	阻塞	65536	38459	3	{v=1, vn=3}
-179649	有感	102186	26377	2	{b=0, v=1, vn=0}
-179653	舍己	128072	33293	1	null
-179654	舍已	128076	33293	1	null
-179655	法律	107434	27861	2	{n=213}
-179656	痛苦	107328	30171	2	{a=5, ad=0, an=20, n=1}
-179657	有愧	65536	26377	3	{a=1}
-179659	焦黑	65536	28966	3	{z=1}
-179662	特型	65536	29305	3	{b=2}
-179664	译者	65536	35793	3	{n=1}
-179666	看笑	102623	30475	1	null
-179668	简介	65536	31616	3	{n=2, v=1, vn=0}
-179670	放风	65536	25918	3	{v=1}
-179671	镂骨	123008	38210	1	null
-179676	线手	120678	32447	1	null
-179679	里弦	65536	37324	3	{n=0}
-179686	放飞	65536	25918	3	{v=4, vn=0}
-179687	马尔萨	140026	228502	1	null
-179689	输液	134760	36755	2	{v=0, vn=1}
-179691	蓝图	65536	34013	3	{n=8}
-179692	收集	80562	25910	2	{v=33, vn=5}
-179693	驮轿	65536	39534	3	{n=0}
-179694	现政	110643	29616	1	null
-179700	藏书	127248	34255	2	{n=1, v=1, vn=1}
-179703	胸襟	65536	33016	3	{n=5}
-179704	院庆	65536	38498	3	{n=0}
-179705	队友	65536	38431	3	{n=3}
-179715	间奏	135308	38388	1	null
-179716	鲁殿	138460	40065	1	null
-179717	深宅	107639	28145	1	null
-179720	机芯	65536	26426	3	{n=0}
-179721	正指	100086	27491	1	null
-179723	胜诉	126605	32988	2	{v=0, vn=0}
-179724	烧荒	65536	28903	3	{v=1, vn=2}
-179727	春雨	65536	26149	3	{n=5, nr=0}
-179728	论战	65536	35770	3	{v=0, vn=1}
-179729	春雪	65536	26149	3	{n=0}
-179730	量子	138681	37327	2	{n=1}
-179740	无法	94101	26080	2	{d=1, v=98, vd=0}
-179741	灵猫	65536	28789	3	{n=0}
-179742	春雷	65536	26149	3	{n=1, nr=0}
-179743	校规	65536	26657	3	{n=0}
-179744	镜泊	132953	38236	1	null
-179746	鸦雀	141467	40486	1	null
-179751	违规	65536	36829	3	{v=6, vd=2, vn=10}
-179761	饰词	65536	39280	3	{n=0}
-179763	方音	65536	26041	3	{n=0}
-179764	武火	65536	27494	3	{n=0}
-179766	查血	65536	26597	3	{v=0}
-179767	雀鹰	65536	38592	3	{n=0}
-179768	跨过	65536	36328	3	{v=1}
-179769	被特	116107	34987	1	null
-179770	阈限	65536	38408	3	{n=0}
-179771	队名	65536	38431	3	{n=0}
-179773	磁倾	104403	30913	1	null
-179776	返祖	127823	36820	1	null
-179781	鼬鼠	138231	40748	1	null
-179784	鹅绒	65536	40517	3	{n=0}
-179788	贴饼	131360	36148	1	null
-179790	磁偏	104404	30913	1	null
-179794	缺课	65536	32570	3	{v=0}
-179795	雁行	65536	38593	3	{n=0}
-179798	打落	87138	25171	2	{v=0}
-179804	简体	118644	31616	2	{b=0}
-179805	玉帛	65536	29577	3	{n=0}
-179806	销账	65536	38144	3	{v=0}
-179807	销货	139561	38144	2	{v=1}
-179809	民机	65536	27665	3	{n=2}
-179810	看管	65536	30475	3	{v=3, vn=1}
-179815	默哀	65536	40664	3	{v=1}
-179816	玉带	65536	29577	3	{n=0}
-179818	民权	107049	27665	2	{n=1}
-179820	话簿	65536	35805	3	{j=0}
-179821	雀麦	65536	38592	3	{n=0}
-179822	鸿爪	65536	40511	3	{n=0}
-179823	页面	65536	39029	3	{n=0}
-179830	钓饵	65536	38035	3	{n=0}
-179835	销赃	65536	38144	3	{v=0, vn=0}
-179841	荒唐	65536	33618	3	{a=4, an=0}
-179843	购货	133656	36141	2	{v=0, vn=0}
-179844	龙须面	65536	239658	3	{n=0}
-179846	队员	65536	38431	3	{n=53}
-179848	莫若	65536	33707	3	{c=1}
-179850	蜡油	65536	34593	3	{n=0}
-179858	日落	87756	26085	2	{v=3}
-179860	角套	65536	35282	3	{n=1}
-179861	无济	100078	26080	1	null
-179864	油匠	65536	27833	3	{n=0}
-179868	讲义	130230	35762	2	{n=1}
-179877	现时	114670	29616	2	{t=2}
-179878	营私	116726	33829	2	{v=0}
-179879	顺风转	131392	230835	1	null
-179882	新潮	65536	26032	3	{n=1, nz=0}
-179885	流毒	65536	27969	3	{n=0}
-179886	藏传	65536	34255	3	{b=3}
-179888	薄礼	65536	34180	3	{n=0}
-179890	油区	65536	27833	3	{n=1}
-179891	讲习	132825	35762	2	{v=1}
-179897	死火	102712	27515	1	null
-179898	视图	65536	35270	3	{n=0}
-179902	死灰	103581	27515	2	{n=0}
-179906	深层	103788	28145	2	{a=1, b=9, n=0}
-179908	毛病	65536	27611	3	{n=9}
-179909	深居	98860	28145	1	null
-179911	米坪	104065	31859	1	null
-179912	简便	115908	31616	2	{a=4, ad=1, v=0}
-179914	盘库	65536	30424	3	{v=0}
-179916	错开	65536	38169	3	{v=0}
-179918	盘店	65536	30424	3	{v=0}
-179919	木纹	65536	26408	3	{n=1}
-179920	设计	131684	35774	2	{n=3, v=70, vn=89}
-179921	河里	65536	27827	3	{s=4}
-179922	马蹄铁	65536	241350	3	{n=0}
-179923	河野	65536	27827	3	{nr=0}
-179925	牙轮	65536	29273	3	{n=0}
-179927	舍弃	65536	33293	3	{v=2}
-179930	求贤	94278	27714	1	null
-179938	有所	102338	26377	2	{v=101}
-179939	求购	65536	27714	3	{v=0}
-179944	油印	102018	27833	2	{v=0, vn=0}
-179945	木结	96418	26408	1	null
-179946	闻过	140781	38395	1	null
-179948	流民	65536	27969	3	{n=0}
-179950	流氓	96950	27969	2	{n=2, vn=0}
-179951	流气	65536	27969	3	{a=0}
-179953	深山	65536	28145	3	{n=10}
-179954	温水	65536	28201	3	{n=0}
-179955	雕花	65536	38613	3	{n=0, vn=0}
-179957	返程	65536	36820	3	{n=1, v=0, vn=0}
-179959	讲交	128301	35762	1	null
-179967	钻工	65536	38075	3	{n=0}
-179969	时间	96703	26102	2	{n=449, nr=0, t=0, v=0}
-179971	油压	102022	27833	2	{n=0}
-179975	马蹄银	65536	241350	3	{n=0}
-179976	迎新	137042	36814	2	{nr=0, v=3, vn=3}
-179977	能说	126773	33021	1	null
-179978	没脸	65536	27809	3	{ad=0}
-179982	本法	65536	26412	3	{r=33}
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-180003	透光	133633	36879	2	{v=0}
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-180018	流汗	65536	27969	3	{v=0}
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-180053	锁钥	65536	38145	3	{n=0}
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-180083	活水	65536	27963	3	{n=9}
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-180161	福田	65536	31119	3	{nr=0, ns=1, nz=0}
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-180168	自由职	127845	216161	1	null
-180170	文艺	102525	25991	2	{n=135, nr=0}
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-180180	透出	65536	36879	3	{v=1}
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-180190	粮饷	65536	31918	3	{n=0}
-180192	靠垫	65536	38752	3	{n=0}
-180194	皇粮	65536	30343	3	{n=0}
-180195	暗黑	65536	26263	3	{b=0}
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-180200	谷底	65536	35895	3	{n=2, s=2}
-180205	纯收	122563	32431	1	null
-180211	气度	107221	27668	2	{n=3}
-180212	蜡渣	127831	34593	1	null
-180213	春风	101361	26149	2	{n=14}
-180214	错怪	65536	38169	3	{v=1}
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-180221	校订	65536	26657	3	{v=1, vn=0}
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-180232	校训	65536	26657	3	{n=0}
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-180246	蓝天	65536	34013	3	{n=14, nz=0}
-180247	特委	113612	29305	2	{j=7}
-180248	横空	104611	27178	1	null
-180249	流派	65536	27969	3	{n=8}
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-180259	饱经风	127013	187361	1	null
-180260	浮水	65536	28014	3	{v=0}
-180261	驰誉	65536	39536	3	{nz=0}
-180262	窗门	65536	31383	3	{n=1}
-180264	胆石	116494	32966	1	null
-180265	游民	65536	28216	3	{n=0}
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-180270	透剔	65536	36879	3	{a=1}
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-180275	胆矾	65536	32966	3	{n=0}
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-180286	纯文	120007	32431	1	null
-180288	鸦飞	128959	40486	1	null
-180289	没良	103814	27809	1	null
-180293	流浪	101855	27969	2	{v=0, vn=1}
-180294	规费	65536	35268	3	{j=0}
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-180297	木耳	65536	26408	3	{n=1}
-180298	舍恶	113212	33293	1	null
-180300	游水	65536	28216	3	{v=0}
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-180324	温润	65536	28201	3	{a=0}
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-180345	浮沉	65536	28014	3	{v=1, vn=0}
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-180348	煤气	104349	29028	2	{n=17}
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-180359	黑白胶	139075	237675	1	null
-180360	良多	65536	33391	3	{z=1}
-180361	正文	65536	27491	3	{n=1, nr=0}
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-180375	验收	145568	39564	2	{v=14, vn=17}
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-180379	驱虫	145253	39537	1	null
-180380	理智	65536	29702	3	{a=1, n=5}
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-180391	流淌	65536	27969	3	{v=5, vn=0}
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-180400	灰糊	100467	28784	1	null
-180407	死物	65536	27515	3	{n=0}
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-180445	钻心	125966	38075	2	{v=0}
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-180529	正是	65536	27491	3	{v=147}
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-180641	查讫	65536	26597	3	{v=0}
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-180663	查证	65536	26597	3	{v=3, vn=1}
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-180667	爱多	65536	29233	3	{nz=1}
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-180682	里挑	136701	37324	1	null
-180683	禁放	65536	31105	3	{v=0}
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-180692	江西	97517	27743	2	{ns=52}
-180694	秋种	65536	31179	3	{v=4}
-180696	查询	102755	26597	2	{v=11, vn=7}
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-180708	计穷	131778	35745	1	null
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-180713	群体	65536	32676	3	{j=0, n=32}
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-180731	有教	96264	26377	1	null
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-180734	洋服	65536	27915	3	{n=0}
-180741	订货	132700	35746	2	{v=1, vn=5}
-180743	磁合	102366	30913	1	null
-180745	胜过	65536	32988	3	{v=1}
-180746	正月	65536	27491	3	{t=5}
-180747	订购	120178	35746	2	{v=10, vn=0}
-180748	跟随	123033	36319	2	{n=0, p=1, v=5}
-180749	沙文	108187	27801	1	null
-180751	没落	65536	27809	3	{v=2, vn=1}
-180754	有数	65536	26377	3	{a=2}
-180756	爱女	65536	29233	3	{n=0}
-180757	查谟	65536	26597	3	{ns=0}
-180759	深得	102818	28145	1	null
-180761	残雪	65536	27531	3	{n=1}
-180765	胜进	120311	32988	1	null
-180766	爱好	100596	29233	2	{n=6, v=10, vn=0}
-180767	简化	118667	31616	2	{v=10, vn=1}
-180769	皮件	65536	30382	3	{n=0}
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-180772	纪念馆	65536	157968	3	{n=19}
-180774	无烟	96160	26080	2	{b=0}
-180776	浮游	99933	28014	2	{v=0, vn=0}
-180778	盛景	65536	30427	3	{n=2}
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-180788	避重	135234	36991	1	null
-180789	项链	65536	39033	3	{n=5}
-180795	胜迹	65536	32988	3	{n=0}
-180798	题材	65536	39064	3	{n=42}
-180803	高密镇	65536	232609	3	{ns=0}
-180808	田庄	65536	30000	3	{ns=1}
-180809	逃之	135331	36867	1	null
-180810	猪食	65536	29482	3	{n=1}
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-180818	玉成	113791	29577	1	null
-180819	达县	65536	36798	3	{ns=0}
-180820	死理	65536	27515	3	{n=1}
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-180839	毛票	65536	27611	3	{n=1}
-180841	认知	121790	35748	2	{v=0, vn=2}
-180842	铅山	65536	38085	3	{ns=0}
-180844	知难	106137	30693	1	null
-180846	齿根	65536	40831	3	{n=0}
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-180851	民歌	65536	27665	3	{n=6}
-180861	蜡炬	126105	34593	1	null
-180862	越权	65536	36234	3	{v=2, vd=0, vn=3}
-180863	特尼	106036	29305	1	null
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-180865	松软	65536	26494	3	{a=3}
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-180868	牛棚	65536	29275	3	{n=0}
-180871	有日	98977	26377	1	null
-180874	蓝宝	119737	34013	1	null
-180875	煤渣	96714	29028	2	{n=0}
-180877	鬓角	65536	39699	3	{n=1}
-180879	简历	65536	31616	3	{n=0}
-180882	这一	137473	36825	1	null
-180887	被盗	65536	34987	3	{v=2, vn=8}
-180888	有时	102373	26377	2	{d=45, m=1, r=1}
-180891	洋枪	90757	27915	1	null
-180893	深思	101406	28145	2	{v=7, vn=3}
-180894	正果	65536	27491	3	{n=0}
-180895	逃亡	125392	36867	2	{v=0}
-180896	越来	119354	36234	1	null
-180897	日行	99225	26085	1	null
-180901	藏北	65536	34255	3	{ns=0, s=10}
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-180908	蜡烛	65536	34593	3	{n=4}
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-180917	气慨	65536	27668	3	{n=0}
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-180923	腰身	65536	33136	3	{n=0}
-180924	这个	65536	36825	3	{r=628}
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-180929	浮滑	65536	28014	3	{a=0}
-180930	油坊	65536	27833	3	{n=0}
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-180936	盛服	65536	30427	3	{n=0}
-180937	藏医	65536	34255	3	{j=0, n=1}
-180938	鸡毛蒜	137050	220846	1	null
-180941	藏匿	65536	34255	3	{v=1, vn=0}
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-180944	深恐	65536	28145	3	{v=0}
-180945	阿尔贝	137857	216535	1	null
-180946	适宜	65536	36866	3	{a=1, v=7, vn=1}
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-180952	水东	107286	27700	1	null
-180954	这么	137343	36825	2	{r=93}
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-180959	核蛋	94252	26680	1	null
-180960	陪读	65536	38506	3	{v=0}
-180961	线材	65536	32447	3	{n=0}
-180962	毒魔	65536	27602	3	{n=0}
-180965	灵石	111036	28789	2	{ns=1}
-180967	贺联	65536	36154	3	{n=0}
-180968	武生	65536	27494	3	{n=0}
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-180976	洋柿	105818	27915	1	null
-180978	线条	65536	32447	3	{n=5}
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-180983	负心	134229	36127	2	{v=0}
-180984	默契	65536	40664	3	{a=1, ad=1, an=1}
-180985	河间	104350	27827	2	{ns=1}
-180987	简史	65536	31616	3	{n=0}
-180992	知青	65536	30693	3	{n=15}
-180995	积不	110207	31215	1	null
-180996	计算	132942	35745	2	{n=0, v=35, vn=5}
-180998	等于	120306	31561	2	{v=25}
-180999	销量	65536	38144	3	{n=8, vn=1}
-181006	顿足	139335	39039	1	null
-181007	消渴	65536	28040	3	{n=0}
-181008	线板	65536	32447	3	{n=0}
-181011	米家	114477	31859	1	null
-181012	藏历	65536	34255	3	{n=1}
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-181016	讨饭	65536	35752	3	{v=0, vn=0}
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-181021	水乡	65536	27700	3	{n=12}
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-181036	钻戒	65536	38075	3	{n=1}
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-181049	音乐片	65536	215259	3	{n=0}
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-181052	盛极	117917	30427	1	null
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-181061	深情	109100	28145	2	{a=0, b=1, d=13, n=18}
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-181086	蓝山	65536	34013	3	{ns=0}
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-181110	醉马	125804	37257	1	null
-181111	踏足	65536	36367	3	{v=2}
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-181123	正梁	65536	27491	3	{n=0}
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-181135	深意	65536	28145	3	{n=0}
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-181180	颓败	65536	39059	3	{a=1}
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-181489	煤炉	65536	29028	3	{n=0}
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-181536	瓦釜	96718	29926	1	null
-181538	粉剂	65536	31881	3	{n=0}
-181539	比试	65536	27604	3	{v=4}
-181540	龟鹤遐	128073	186662	1	null
-181542	税警	65536	31246	3	{n=0}
-181547	院方	65536	38498	3	{n=0}
-181548	穷乏	65536	31351	3	{a=0}
-181550	沙梨	65536	27801	3	{n=0}
-181552	陷阱	65536	38519	3	{n=0}
-181557	洋橄	102190	27915	1	null
-181560	爱岗	107431	29233	2	{v=0}
-181561	磁场	65536	30913	3	{n=2}
-181564	泥饭	98112	27877	1	null
-181565	皮划	104215	30382	1	null
-181566	穷乡	120277	31351	1	null
-181570	返聘	65536	36820	3	{v=2, vn=0}
-181571	针砭	134088	38024	2	{v=0, vn=1}
-181573	特异	112716	29305	2	{z=0}
-181574	消火	103499	28040	1	null
-181575	煤烟	65536	29028	3	{n=0}
-181576	消灭	65536	28040	3	{v=38, vn=0}
-181581	无理	99225	26080	2	{a=2, ad=2}
-181590	运价	65536	36816	3	{n=2}
-181592	锁骨	65536	38145	3	{n=0}
-181593	话茬	65536	35805	3	{n=2}
-181594	证章	65536	35777	3	{n=0}
-181598	沙棘	65536	27801	3	{n=1}
-181599	米市	65536	31859	3	{n=2}
-181602	龙钟老	136109	238670	1	null
-181609	消炎	109087	28040	2	{vn=0}
-181610	蓝幽	126256	34013	1	null
-181611	法术	65536	27861	3	{n=1}
-181612	输电	124434	36755	2	{v=0, vn=4}
-181615	灯笼	105450	28783	2	{n=28}
-181619	逃兵	65536	36867	3	{n=0}
-181622	良师	117859	33391	2	{n=0}
-181631	法权	65536	27861	3	{n=1}
-181632	胸部	65536	33016	3	{n=0, s=0}
-181637	牛毛	94975	29275	2	{n=0}
-181639	活版	65536	27963	3	{n=0}
-181643	霜霉	133571	38684	1	null
-181646	煤焦	105231	29028	2	{j=1, n=2}
-181647	穷亲	65536	31351	3	{n=4}
-181649	饼饵	65536	39292	3	{n=0}
-181651	越橘	65536	36234	3	{n=0}
-181655	穷人	65536	31351	3	{n=4}
-181658	深挚	65536	28145	3	{a=0}
-181660	无瑕	65536	26080	3	{z=1}
-181662	积储	65536	31215	3	{v=0}
-181663	踏进	65536	36367	3	{v=0}
-181671	豪绅	65536	35946	3	{n=0}
-181672	活物	65536	27963	3	{n=0}
-181673	时鲜	65536	26102	3	{n=0}
-181674	视差	65536	35270	3	{n=0}
-181675	盘整	65536	30424	3	{v=2, vn=2}
-181690	现洋	96802	29616	2	{n=0}
-181691	运作	65536	36816	3	{v=26, vn=39}
-181692	赠送	65536	36192	3	{v=52, vn=3}
-181694	牛气	65536	29275	3	{a=0, n=0}
-181697	销钉	65536	38144	3	{n=0}
-181700	特征	113332	29305	2	{n=43, v=0}
-181701	木薯	65536	26408	3	{n=1}
-181704	甲申	65536	30002	3	{m=0}
-181705	点金	107518	28857	1	null
-181706	适应	133514	36866	2	{a=0, v=178, vn=1}
-181708	收麦	65536	25910	3	{v=0}
-181709	春麦	65536	26149	3	{n=0}
-181710	雁过	137928	38593	1	null
-181713	这儿	65536	36825	3	{r=19}
-181715	鸿福	65536	40511	3	{n=1}
-181716	灯管	65536	28783	3	{n=2}
-181718	达坂	134597	36798	1	null
-181720	毛糙	65536	27611	3	{a=0}
-181724	适度	137956	36866	2	{a=19, ad=3}
-181728	百万	113718	30334	1	null
-181730	荒山	127098	33618	2	{n=23}
-181732	灯箱	65536	28783	3	{n=6}
-181735	残骸	65536	27531	3	{n=1}
-181738	部属	65536	37096	3	{b=0, n=2}
-181747	百业	116380	30334	1	null
-181750	现浇	108376	29616	1	null
-181752	黏着	147028	40655	2	{v=0}
-181753	负担	65536	36127	3	{n=95, v=10, vn=0}
-181759	诱虫	124917	35825	1	null
-181761	打诨	65536	25171	3	{v=0}
-181762	盘旋	65536	30424	3	{v=3}
-181765	日记	94131	26085	2	{n=20}
-181767	简图	65536	31616	3	{n=0}
-181768	谋计	65536	35851	3	{n=1}
-181772	荒岛	65536	33618	3	{n=0}
-181775	舞会	65536	33310	3	{n=0}
-181777	踏遍	65536	36367	3	{v=1}
-181778	萨马	124836	33832	1	null
-181786	纯正	65536	32431	3	{a=0, an=0}
-181787	证管	132077	35777	1	null
-181788	用不	112279	29992	1	null
-181790	荒岭	65536	33618	3	{n=0}
-181799	横肉	65536	27178	3	{n=0}
-181800	观庙	132421	35266	1	null
-181801	舞伴	65536	33310	3	{n=0}
-181804	题款	65536	39064	3	{n=1}
-181806	特快	113887	29305	2	{b=1, j=0}
-181808	皮包	116724	30382	2	{n=0}
-181809	水兵	65536	27700	3	{n=0}
-181810	鲁班	144387	40065	1	null
-181812	毒麦	65536	27602	3	{n=0}
-181816	骤起	65536	39588	3	{v=2}
-181819	蒙受	65536	33945	3	{v=2}
-181820	牙雕	65536	29273	3	{n=0}
-181822	音乐界	65536	215259	3	{n=3}
-181825	鹅蛋	134566	40517	2	{n=0}
-181826	日语	65536	26085	3	{nz=0}
-181827	被窃	65536	34987	3	{v=1}
-181828	省事	65536	30465	3	{a=2, an=0, v=0}
-181832	蒙古	130128	33945	2	{n=1, ns=20, nz=0}
-181835	皮匠	65536	30382	3	{n=0}
-181838	速递	65536	36895	3	{vn=2}
-181840	打谷	88415	25171	1	null
-181845	迎泽	65536	36814	3	{ns=2}
-181847	水军	65536	27700	3	{n=1}
-181848	灰色	65536	28784	3	{n=8}
-181850	用之	115732	29992	1	null
-181852	购销	134697	36141	2	{v=3, vn=6}
-181853	被窝	65536	34987	3	{n=1}
-181859	牛油	65536	29275	3	{n=0}
-181860	百事	115751	30334	2	{nz=0}
-181863	正步	65536	27491	3	{n=0}
-181864	特急	113662	29305	1	null
-181865	活猪	65536	27963	3	{n=0}
-181866	特性	65536	29305	3	{n=15}
-181867	省亲	65536	30465	3	{v=0}
-181870	水冲	103043	27700	1	null
-181871	无用	99069	26080	2	{v=0}
-181875	省人	115479	30465	1	null
-181876	魔王	65536	39764	3	{n=0}
-181880	无由	65536	26080	3	{d=0}
-181882	薄脆	65536	34180	3	{n=0}
-181886	等分	109369	31561	2	{n=0}
-181887	游牧	103418	28216	2	{v=0, vn=0}
-181890	水准	107174	27700	2	{n=20}
-181891	销售量	65536	165478	3	{n=2}
-181892	法案	65536	27861	3	{n=10}
-181894	直到	65536	30452	3	{v=52}
-181897	适当	65536	36866	3	{a=36, ad=20, v=0}
-181900	法桐	65536	27861	3	{j=0}
-181901	鸭蛋青	65536	187326	3	{n=0}
-181903	矿上	65536	30719	3	{n=0}
-181905	满脸	65536	28385	3	{d=6}
-181906	纯毛	65536	32431	3	{n=0}
-181908	辽远	65536	36797	3	{a=0, an=0}
-181910	无畏	65536	26080	3	{nr=0, v=2, vn=0}
-181914	用事	65536	29992	3	{v=0}
-181917	用于	65536	29992	3	{p=0, v=111, vn=0}
-181918	院本	65536	38498	3	{n=0}
-181919	矿业	65536	30719	3	{n=19}
-181920	男高	97295	30007	1	null
-181924	质疑	116203	36136	2	{v=1, vn=0}
-181925	饮食起	142026	185850	1	null
-181926	积冰	65536	31215	3	{n=1}
-181928	等到	65536	31561	3	{c=0, v=5}
-181929	比赛	100380	27604	2	{n=0, v=65, vn=205}
-181933	满腔	102673	28385	2	{b=0}
-181935	订金	65536	35746	3	{n=1}
-181936	省价	65536	30465	3	{j=0}
-181939	灰苍	98929	28784	1	null
-181942	省份	65536	30465	3	{n=6}
-181946	死硬	98417	27515	2	{z=0}
-181951	机警	65536	26426	3	{a=0}
-181952	矿主	65536	30719	3	{n=1}
-181953	正殿	65536	27491	3	{n=1}
-181954	水分	65536	27700	3	{n=5}
-181957	比起	65536	27604	3	{v=1}
-181958	舞俑	65536	33310	3	{n=0}
-181960	油子	65536	27833	3	{n=0}
-181961	用人	115735	29992	2	{v=1, vn=8}
-181962	间或	65536	38388	3	{d=2}
-181965	适得	137284	36866	1	null
-181967	牛津	65536	29275	3	{ns=1}
-181968	避险	65536	36991	3	{v=3}
-181969	省优	65536	30465	3	{b=0}
-181970	满腹	102314	28385	2	{b=1, n=0}
-181971	省会	65536	30465	3	{n=13}
-181974	正比	105701	27491	2	{n=3}
-181975	胆红	114621	32966	1	null
-181976	无疑	65536	26080	3	{d=41, v=0}
-181980	洋毫	65536	27915	3	{n=0}
-181982	纯氧	65536	32431	3	{n=0}
-181983	税负	65536	31246	3	{j=0}
-181986	鹿岛	65536	40575	3	{nr=0, ns=1}
-181988	谷斑	123804	35895	1	null
-181989	水利	106299	27700	2	{n=86, vn=0}
-181990	种田	65536	31181	3	{v=13, vn=2}
-181992	牛派	65536	29275	3	{n=1}
-181995	纯水	65536	32431	3	{n=0}
-181996	水到	99189	27700	1	null
-181999	活现	65536	27963	3	{v=0}
-182002	里根	65536	37324	3	{n=0, nr=0}
-182003	水刷	96680	27700	1	null
-182004	用以	65536	29992	3	{d=6, p=1, v=0}
-182008	甲癣	65536	30002	3	{n=0}
-182009	税费	65536	31246	3	{j=0, n=8}
-182012	积分	118564	31215	2	{n=3}
-182015	留一	111109	30041	1	null
-182016	舍本	120397	33293	1	null
-182019	鹏运	65536	40527	3	{nz=0}
-182021	洋气	65536	27915	3	{a=0}
-182024	胆结	115947	32966	1	null
-182026	留下	109805	30041	2	{v=92}
-182027	税赋	65536	31246	3	{n=0}
-182028	无病	98597	26080	1	null
-182029	顾客	65536	39038	3	{n=37}
-182032	薄膜	65536	34180	3	{n=0}
-182033	灰茫	98836	28784	1	null
-182034	种畜	118135	31181	2	{n=1}
-182036	返航	65536	36820	3	{v=2}
-182037	自然观	65536	215142	3	{n=1}
-182038	正气	105110	27491	2	{n=19}
-182039	自然规	123346	215142	1	null
-182040	气旋	65536	27668	3	{n=0}
-182042	矿井	65536	30719	3	{n=9}
-182045	频谱	65536	39057	3	{n=0}
-182049	新知	65536	26032	3	{n=1}
-182050	高等院	140247	240676	1	null
-182051	特惠	113029	29305	1	null
-182052	震天骇	141342	189576	1	null
-182053	避难	135276	36991	2	{v=2, vn=1}
-182054	横膈	92429	27178	1	null
-182056	蒙哄	65536	33945	3	{v=0}
-182060	矿产	117430	30719	2	{n=29}
-182063	新石	97367	26032	1	null
-182064	藏垢	118274	34255	1	null
-182065	良心	65536	33391	3	{n=2}
-182067	磁头	65536	30913	3	{n=0}
-182068	胆绿	114623	32966	1	null
-182071	鹿峰	65536	40575	3	{nz=0}
-182074	热中	109411	28909	2	{v=0}
-182077	逃匿	65536	36867	3	{v=0}
-182078	打败	65536	25171	3	{v=0}
-182085	纵谈	65536	32437	3	{v=1}
-182086	线段	65536	32447	3	{n=1}
-182095	气昂	101111	27668	1	null
-182096	文言	92895	25991	2	{n=0}
-182098	特意	65536	29305	3	{d=18}
-182100	直勾	116794	30452	1	null
-182103	水力	105939	27700	2	{n=2}
-182106	牙音	65536	29273	3	{n=0}
-182107	热乎	112742	28909	2	{a=0}
-182110	避雷	136721	36991	1	null
-182113	被管	122176	34987	1	null
-182116	机谋	65536	26426	3	{n=0}
-182117	打赌	65536	25171	3	{v=0}
-182120	蜡疗	65536	34593	3	{n=0}
-182121	本田	65536	26412	3	{nz=3}
-182123	用作	65536	29992	3	{v=1}
-182128	麟角	146849	40607	1	null
-182129	河马	65536	27827	3	{n=0}
-182134	百依	106903	30334	1	null
-182136	省便	65536	30465	3	{a=0}
-182137	经济主	123767	198474	1	null
-182139	水势	65536	27700	3	{n=1}
-182140	日货	65536	26085	3	{j=0}
-182141	打赤	81681	25171	1	null
-182144	线毯	65536	32447	3	{n=0}
-182145	魂不附	146807	167193	1	null
-182146	责任险	65536	159811	3	{n=0}
-182148	观念	128077	35266	2	{n=170}
-182153	谋财	130603	35851	1	null
-182155	苍雄	65536	33485	3	{z=1}
-182156	阻截	65536	38459	3	{v=0}
-182163	院校	124551	38498	2	{n=40}
-182165	良性	118029	33391	2	{a=0, b=32, d=1}
-182167	盘杠	114479	30424	1	null
-182170	松针	65536	26494	3	{n=0}
-182173	直升	111618	30452	1	null
-182176	浮现	65536	28014	3	{v=6, vn=0}
-182180	饮誉	65536	39278	3	{v=0}
-182182	驱赶	65536	39537	3	{v=2, vn=0}
-182185	积劳	115578	31215	1	null
-182186	洋油	65536	27915	3	{n=1}
-182188	死神	65536	27515	3	{n=2}
-182190	讲坛	65536	35762	3	{n=3}
-182193	热交	107348	28909	1	null
-182197	核计	103585	26680	2	{v=0}
-182200	纯洁	118795	32431	2	{a=3, an=1, v=0, vn=0}
-182201	毛纺	94401	27611	2	{b=0}
-182202	油层	65536	27833	3	{n=0}
-182204	打趣	65536	25171	3	{v=0}
-182206	毛线	88834	27611	2	{n=0}
-182207	禁欲	120178	31105	2	{v=0}
-182208	锦纶	65536	38182	3	{nz=0}
-182209	游玩	65536	28216	3	{v=6, vn=0}
-182210	鹅行	127159	40517	1	null
-182211	江轮	65536	27743	3	{n=0}
-182213	毛细	97243	27611	1	null
-182214	毛织	105169	27611	1	null
-182219	无的	94309	26080	1	null
-182220	靠得	143955	38752	1	null
-182221	核讹	88813	26680	1	null
-182223	盛气	116954	30427	1	null
-182224	木螺	84904	26408	1	null
-182226	水化	98105	27700	2	{v=0}
-182229	童音	65536	31461	3	{n=0}
-182231	正法	65536	27491	3	{nr=0, v=0}
-182232	矿体	65536	30719	3	{n=0}
-182233	玉林	110581	29577	2	{nr=0, ns=2}
-182236	沉迷	65536	27785	3	{v=0}
-182238	钟乳	129532	38047	1	null
-182240	日趋	65536	26085	3	{d=28}
-182242	陪都	65536	38506	3	{n=1}
-182244	险乎	65536	38505	3	{d=0}
-182245	荒年	65536	33618	3	{n=0}
-182246	百倍	65536	30334	3	{m=3}
-182248	糖膏	65536	31958	3	{n=0}
-182249	核试	85034	26680	2	{j=0}
-182253	锦绣	140011	38182	2	{b=2, n=2}
-182255	禁止	65536	31105	3	{v=44, vn=2}
-182257	闻风	141794	38395	1	null
-182265	阻抗	65536	38459	3	{n=0}
-182266	留任	65536	30041	3	{v=2, vn=0}
-182268	洋洋	109255	27915	2	{z=0}
-182269	汉诗	65536	27721	3	{n=0}
-182275	等压	109372	31561	2	{v=0}
-182276	贪杯	65536	36138	3	{a=0}
-182277	痛责	65536	30171	3	{v=0}
-182279	深文	108900	28145	1	null
-182282	秋老	106050	31179	1	null
-182283	鸿篇	143574	40511	2	{n=1}
-182288	荒废	65536	33618	3	{v=0, vn=0}
-182289	无益	65536	26080	3	{a=1, v=3}
-182291	汉语	102511	27721	2	{n=1, nz=26}
-182292	错案	65536	38169	3	{n=1}
-182296	锦缎	65536	38182	3	{n=1}
-182300	盘查	65536	30424	3	{v=2, vn=0}
-182302	秋耕	65536	31179	3	{v=0}
-182304	流畅	65536	27969	3	{a=10}
-182310	穷光	120222	31351	1	null
-182311	理清	65536	29702	3	{v=1}
-182316	水印	65536	27700	3	{n=0}
-182321	险些	65536	38505	3	{d=1}
-182322	洋流	65536	27915	3	{n=0}
-182326	玉柴	65536	29577	3	{nz=0}
-182327	陪酒	140004	38506	2	{v=0}
-182332	缺门	65536	32570	3	{n=0}
-182333	武穴	102173	27494	2	{ns=2}
-182334	水厂	65536	27700	3	{n=7}
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-182338	钻木	138923	38075	1	null
-182341	适意	65536	36866	3	{a=0}
-182342	越洋	65536	36234	3	{b=0, vn=3}
-182343	水压	100975	27700	2	{n=1}
-182344	阻拦	65536	38459	3	{v=2, vn=0}
-182347	陆上	65536	38470	3	{s=8}
-182349	烟民	65536	28895	3	{n=1}
-182350	留住	65536	30041	3	{v=2}
-182354	穷兵	100352	31351	1	null
-182355	玉树	104892	29577	2	{n=1, ns=0}
-182356	钻机	65536	38075	3	{n=1}
-182357	讲堂	65536	35762	3	{n=0}
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-182361	间接	136164	38388	2	{a=0, ad=0, an=0, b=12, d=2}
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-182366	活生	99510	27963	1	null
-182367	禁毒	117213	31105	2	{v=21, vn=4}
-182372	爱心	65536	29233	3	{n=53, nz=0}
-182373	题海	139841	39064	1	null
-182379	煤球	65536	29028	3	{n=0}
-182380	纵贯	65536	32437	3	{v=4}
-182381	课课	65536	35838	3	{n=1}
-182383	等号	65536	31561	3	{n=1}
-182384	盘根	106509	30424	1	null
-182385	陆丰	138625	38470	2	{ns=0}
-182388	有毒	65536	26377	3	{v=0, vn=0}
-182389	龟足	65536	40863	3	{n=0}
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-182396	负效	130181	36127	1	null
-182398	童颜	101021	31461	1	null
-182399	灰蒙	98473	28784	1	null
-182401	积压	65536	31215	3	{v=1, vn=4}
-182402	阻挠	65536	38459	3	{v=11, vn=4}
-182403	阻挡	65536	38459	3	{v=11, vn=0}
-182404	等同	65536	31561	3	{v=8, vd=0}
-182409	缺阵	65536	32570	3	{v=1}
-182410	盘桓	65536	30424	3	{v=0}
-182414	深明	107688	28145	1	null
-182416	街谈	127555	34903	1	null
-182417	经济体	65536	198474	3	{n=2}
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-182429	离不	115953	31163	1	null
-182430	求雨	65536	27714	3	{v=1}
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-182436	负数	65536	36127	3	{n=0}
-182438	沉郁	65536	27785	3	{a=1}
-182442	离业	105357	31163	1	null
-182445	鸽镇	65536	40509	3	{ns=0}
-182446	观感	65536	35266	3	{n=3}
-182450	明辨	94799	26126	1	null
-182454	有气	96317	26377	1	null
-182455	隆隆	65536	38534	3	{o=2}
-182457	点铁	107519	28857	1	null
-182460	特批	65536	29305	3	{v=0, vn=0}
-182461	爱怜	65536	29233	3	{v=2}
-182462	钟体	65536	38047	3	{n=2}
-182466	藏头	112006	34255	1	null
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-182469	打躬	94529	25171	1	null
-182472	明达	65536	26126	3	{a=0, nr=0, nz=1}
-182475	缺陷	65536	32570	3	{n=19}
-182476	高速路	65536	246010	3	{n=6}
-182481	比较	106553	27604	2	{d=162, p=1, v=15, vn=13}
-182482	灰蓬	98391	28784	1	null
-182483	穷凶	114540	31351	1	null
-182485	灯红	95147	28783	1	null
-182489	钱箱	65536	38065	3	{n=0}
-182490	驮马	65536	39534	3	{n=0}
-182500	有求	97886	26377	1	null
-182502	盘梯	65536	30424	3	{n=0}
-182506	活疫	96002	27963	1	null
-182507	薄荷	122853	34180	2	{n=0}
-182508	爱恋	65536	29233	3	{v=1}
-182513	离乡	107313	31163	2	{v=0}
-182515	维也	111851	32500	1	null
-182517	烟油	65536	28895	3	{n=0}
-182518	穷则	116447	31351	1	null
-182519	气枪	65536	27668	3	{n=0}
-182522	运力	65536	36816	3	{n=4}
-182524	新秀	94377	26032	2	{n=9}
-182529	离乱	65536	31163	3	{a=1}
-182535	运动	142719	36816	2	{n=56, v=15, vn=44}
-182536	照耀	65536	29031	3	{v=5, vn=0}
-182537	驴骡	65536	39540	3	{n=0}
-182538	文论	65536	25991	3	{n=1, v=0}
-182540	特拉	101385	29305	1	null
-182541	新科	65536	26032	3	{nz=0}
-182549	腰锅	65536	33136	3	{n=0}
-182555	眼下	65536	30524	3	{t=31}
-182558	烟波	104721	28895	2	{n=2}
-182559	沙沙	65536	27801	3	{nz=0, o=2}
-182563	江郎	102815	27743	1	null
-182565	沙沟	101768	27801	2	{ns=0}
-182566	灯绳	65536	28783	3	{n=0}
-182569	气柜	65536	27668	3	{n=1}
-182572	无知	65536	26080	3	{a=4, an=0}
-182575	辞海	65536	36766	3	{n=0}
-182577	本相	65536	26412	3	{n=0}
-182581	避风	130636	36991	2	{v=0}
-182584	鹅观	134049	40517	1	null
-182585	沙河	104153	27801	2	{n=0, ns=0}
-182586	本省	65536	26412	3	{r=4}
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-182589	眼中	100539	30524	2	{s=8}
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-182596	文说	65536	25991	3	{n=0}
-182598	舞剑	65536	33310	3	{vn=0}
-182601	热值	65536	28909	3	{n=0}
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-182607	锁麟	138694	38145	1	null
-182608	糖苷	65536	31958	3	{n=0}
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-182612	省军	117001	30465	1	null
-182613	省农	117161	30465	1	null
-182614	百兽	65536	30334	3	{n=1}
-182615	餐盒	65536	39184	3	{n=0}
-182619	磨拳	113955	30952	1	null
-182620	舞剧	125936	33310	2	{n=17}
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-182624	骑警	65536	39569	3	{n=1}
-182625	设防	65536	35774	3	{v=1, vn=11}
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-182630	爱情	65536	29233	3	{n=9}
-182634	维他	122660	32500	1	null
-182636	骡马	65536	39585	3	{n=0}
-182638	沉醉	65536	27785	3	{v=3}
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-182647	有法	102425	26377	2	{v=0}
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-182651	油布	65536	27833	3	{n=0}
-182653	爱惜	65536	29233	3	{v=0}
-182655	打车	65536	25171	3	{v=1}
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-182659	适才	65536	36866	3	{d=0}
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-182661	打转	94053	25171	2	{v=0}
-182662	用具	65536	29992	3	{n=3}
-182663	用典	65536	29992	3	{v=0, vn=0}
-182665	深有	105658	28145	1	null
-182667	离任	65536	31163	3	{v=5, vn=2}
-182668	蒙在	109560	33945	1	null
-182672	队形	65536	38431	3	{n=5}
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-182678	驱车	65536	39537	3	{v=12, vd=1}
-182680	煤田	65536	29028	3	{n=1}
-182684	灯罩	65536	28783	3	{n=0}
-182685	舞动	65536	33310	3	{v=3}
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-182689	离休	102962	31163	2	{v=10, vn=8}
-182692	领事馆	65536	208463	3	{n=2}
-182695	观战	65536	35266	3	{v=2, vn=0}
-182704	爱意	65536	29233	3	{n=0}
-182706	沉重	103298	27785	2	{a=31, ad=2, an=2}
-182707	烟海	65536	28895	3	{n=0}
-182708	甘雨	65536	29976	3	{n=0}
-182712	沙洲	65536	27801	3	{n=0}
-182714	文豪	65536	25991	3	{n=2}
-182724	烟消	112622	28895	1	null
-182726	没说	97990	27809	1	null
-182727	磨损	115176	30952	2	{v=0, vn=0}
-182729	谢电	65536	35874	3	{n=0}
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-182734	独一	108130	29420	1	null
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-182738	打边	74131	25171	1	null
-182740	无碍	65536	26080	3	{v=0}
-182741	驳运	65536	39539	3	{vn=0}
-182742	钱粮	65536	38065	3	{n=0}
-182746	校长	65536	26657	3	{n=35}
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-182750	透射	130648	36879	2	{v=0}
-182751	百分	117772	30334	2	{m=1, n=0}
-182752	验湿	144293	39564	1	null
-182754	甘霖	65536	29976	3	{n=0}
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-182773	皮囊	65536	30382	3	{n=0}
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-182776	独个	113418	29420	1	null
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-182779	磁导	110121	30913	1	null
-182782	甘露	65536	29976	3	{n=0}
-182787	没谱	65536	27809	3	{a=0, v=0}
-182788	机身	65536	26426	3	{n=2}
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-183082	颈项	65536	39048	3	{n=0}
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-183084	求饶	65536	27714	3	{v=1}
-183085	省却	65536	30465	3	{v=0}
-183088	沙溪	101498	27801	1	null
-183090	活石	100714	27963	1	null
-183095	顾忌	65536	39038	3	{n=0, vn=0}
-183099	爱抚	65536	29233	3	{vn=0}
-183103	频道	65536	39057	3	{n=3}
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-183109	爱护	65536	29233	3	{v=8, vn=6}
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-183119	舍死	123580	33293	1	null
-183123	自由诗	65536	216161	3	{n=0}
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-183130	点面	100159	28857	1	null
-183131	田林	65536	30000	3	{ns=0}
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-183136	顾念	65536	39038	3	{v=0}
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-183145	逐一	65536	36880	3	{d=4}
-183146	莫过	129692	33707	1	null
-183147	打酒	65536	25171	3	{v=0}
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-183151	沙滩	93211	27801	2	{n=10, ns=0}
-183153	毛色	65536	27611	3	{n=1}
-183154	特支	97738	29305	1	null
-183155	种禽	65536	31181	3	{n=1}
-183156	省去	65536	30465	3	{v=1}
-183157	没趣	65536	27809	3	{a=0, an=0}
-183159	本社	65536	26412	3	{r=4}
-183161	粉墙	65536	31881	3	{n=0}
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-183171	种种	65536	31181	3	{q=59, v=1}
-183172	无稽	100200	26080	1	null
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-183179	特效	100245	29305	2	{b=0, n=0}
-183182	蒙太	127439	33945	1	null
-183184	载荷	65536	36733	3	{n=5}
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-183187	逐个	65536	36880	3	{d=2}
-183192	蒙头	113579	33945	1	null
-183193	颤颤	141018	39076	1	null
-183194	笔供	65536	31508	3	{n=0}
-183195	矿化	114900	30719	1	null
-183196	特教	65536	29305	3	{j=0}
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-183204	核辐	101043	26680	1	null
-183206	沙漠	106956	27801	2	{n=13}
-183208	热力	109394	28909	2	{n=2}
-183209	莫逆	129761	33707	1	null
-183210	百发	106920	30334	1	null
-183212	热功	108392	28909	1	null
-183213	热加	108763	28909	1	null
-183221	雏鸟	65536	38607	3	{n=0}
-183223	雏鸡	65536	38607	3	{n=0}
-183225	讲学	65536	35762	3	{v=3, vn=1}
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-183228	省吃	117853	30465	1	null
-183230	无穷	97460	26080	2	{d=0, z=4}
-183231	矿区	65536	30719	3	{n=11, ns=3, s=0}
-183232	赠阅	128645	36192	2	{v=2, vn=0}
-183236	水圈	65536	27700	3	{n=0}
-183239	贪欲	65536	36138	3	{n=0}
-183245	木讷	65536	26408	3	{a=1}
-183247	百叶	105878	30334	1	null
-183248	洋烟	65536	27915	3	{n=0}
-183251	秋菊	65536	31179	3	{n=2, nr=0}
-183252	球状	65536	29699	3	{n=0}
-183253	针线	138950	38024	2	{n=0}
-183255	部手	132677	37096	1	null
-183258	用友	65536	29992	3	{nz=0}
-183259	水土	107434	27700	2	{n=18}
-183260	陆军	65536	38470	3	{n=8, nr=0}
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-183263	维克	118260	32500	1	null
-183265	百合	106079	30334	2	{n=0, nr=1}
-183267	浮石	65536	28014	3	{n=0}
-183268	查问	65536	26597	3	{v=1}
-183272	打量	65536	25171	3	{v=3}
-183273	这块	65536	36825	3	{r=26}
-183276	水地	65536	27700	3	{n=0}
-183277	牙鲆	65536	29273	3	{n=0}
-183278	街车	65536	34903	3	{n=1}
-183279	雁门	142383	38593	1	null
-183280	色纸	65536	33394	3	{n=0}
-183281	法涵	92909	27861	1	null
-183283	饱满	65536	39281	3	{a=8, an=0}
-183286	间杂	65536	38388	3	{v=1}
-183288	观摩	65536	35266	3	{v=7, vn=1}
-183290	鼠目	145040	40736	1	null
-183291	查阅	65536	26597	3	{v=13, vn=0}
-183293	田根	65536	30000	3	{nr=0}
-183295	色织	65536	33394	3	{b=0}
-183296	海上	65536	28023	3	{n=0, s=45}
-183297	磨料	65536	30952	3	{n=0}
-183301	百听	117278	30334	1	null
-183302	雏鹰	65536	38607	3	{n=0}
-183306	本科	93469	26412	2	{n=6}
-183308	烧酒	65536	28903	3	{n=0}
-183309	水坑	65536	27700	3	{n=1}
-183318	领头雁	65536	211192	3	{n=4}
-183321	水坝	65536	27700	3	{n=0}
-183325	核选	99279	26680	1	null
-183328	科举	65536	31185	3	{n=0}
-183329	颈饰	65536	39048	3	{n=0}
-183331	热化	65536	28909	3	{v=0}
-183333	磁带	113295	30913	2	{n=3}
-183337	驼铃	65536	39548	3	{n=0}
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-183349	毛茶	65536	27611	3	{n=0}
-183350	无端	65536	26080	3	{b=0, d=2}
-183351	毛茸	93275	27611	1	null
-183356	雁阵	65536	38593	3	{n=2}
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-183366	民生	107060	27665	2	{n=0, nr=0, nz=5}
-183367	顾惜	65536	39038	3	{v=0}
-183373	透平	131830	36879	1	null
-183375	民用	105821	27665	2	{b=11}
-183382	纯熟	65536	32431	3	{a=1, ad=1}
-183385	眼光	65536	30524	3	{n=38}
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-183390	水垢	65536	27700	3	{n=0}
-183392	煤矸	102360	29028	1	null
-183396	皮夹	116760	30382	2	{n=1}
-183398	粉妆	112791	31881	1	null
-183399	煤矿	65536	29028	3	{n=38}
-183400	驶过	65536	39542	3	{v=1}
-183402	间架	65536	38388	3	{n=0}
-183405	颜面	65536	39068	3	{n=0}
-183407	透底	65536	36879	3	{v=0}
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-183416	经济区	65536	198474	3	{n=2, s=1}
-183417	火上	111013	28779	1	null
-183418	销魂	65536	38144	3	{a=0}
-183420	驶进	65536	39542	3	{v=0}
-183422	煤砖	65536	29028	3	{n=0}
-183425	海事	65536	28023	3	{n=1}
-183426	看见	65536	30475	3	{v=19}
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-183428	福至	115745	31119	1	null
-183433	革除	65536	38761	3	{v=1}
-183434	水城	65536	27700	3	{n=3, ns=0}
-183435	驴鸣	136943	39540	1	null
-183436	横蛮	65536	27178	3	{a=0}
-183438	谈虎	120664	35848	1	null
-183440	点题	65536	28857	3	{v=3}
-183446	流离	106742	27969	1	null
-183447	群威	112467	32676	1	null
-183448	热压	95461	28909	1	null
-183451	水域	65536	27700	3	{n=19}
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-183453	海产	108241	28023	2	{n=0}
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-183463	烟火	93608	28895	2	{n=1}
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-183466	笑眯	111174	31505	1	null
-183467	松香	96146	26494	2	{n=1}
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-183470	踏雪	65536	36367	3	{v=2}
-183471	经济危	117392	198474	1	null
-183472	海人	109971	28023	1	null
-183473	论点	65536	35770	3	{n=2}
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-183488	离到	120074	31163	1	null
-183490	来龙	102256	26469	1	null
-183496	气死	65536	27668	3	{v=0}
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-183500	辽阔	65536	36797	3	{a=5, an=0}
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-183511	贪求	65536	36138	3	{v=0}
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-183524	灯花	65536	28783	3	{n=0}
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-183541	输精	125233	36755	1	null
-183542	贪污	125287	36138	2	{n=0, v=31, vn=13}
-183543	闷闷	141733	38391	1	null
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-183546	高压锅	65536	230502	3	{n=0}
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-183562	灯苗	65536	28783	3	{n=0}
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-183568	水塔	65536	27700	3	{n=2}
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-183576	江铃	65536	27743	3	{nz=2}
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-183712	烟煤	65536	28895	3	{n=0}
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-183799	闷雷	65536	38391	3	{n=0}
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-183888	舞坛	65536	33310	3	{n=3}
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-184113	群岛	65536	32676	3	{n=9}
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-184682	沙瓤	65536	27801	3	{n=0}
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-184689	陆地	65536	38470	3	{n=11}
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-184696	机队	65536	26426	3	{n=1}
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-184719	打靶	92545	25171	2	{v=0, vn=0}
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-184723	部标	65536	37096	3	{n=0}
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-184728	赛格	65536	36187	3	{nz=8}
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-184730	流线	107171	27969	1	null
-184731	毛袜	65536	27611	3	{n=0}
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-184734	民穷	90972	27665	1	null
-184737	磁探	119530	30913	1	null
-184742	机降	65536	26426	3	{v=0}
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-184745	玉照	65536	29577	3	{n=0}
-184746	流经	65536	27969	3	{v=3}
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-184750	简报	65536	31616	3	{n=0}
-184756	磨歌	65536	30952	3	{n=0}
-184757	禁用	65536	31105	3	{v=1, vn=1}
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-184767	钟塔	65536	38047	3	{n=3}
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-184772	毛装	65536	27611	3	{n=0}
-184778	有用	102395	26377	2	{a=3, an=0, v=0}
-184781	特殊	112626	29305	2	{a=108, ad=2, an=1}
-184784	职高	65536	32844	3	{j=0}
-184785	纵隔	65536	32437	3	{n=0}
-184786	正盐	65536	27491	3	{n=0}
-184787	鲁美	65536	40065	3	{j=0}
-184790	纯真	65536	32431	3	{a=5, an=1}
-184793	海口	105883	28023	2	{n=0, ns=25}
-184794	百威	65536	30334	3	{nz=0}
-184795	陶氏	65536	38518	3	{nz=0}
-184796	题目	65536	39064	3	{n=15}
-184799	火印	65536	28779	3	{n=0}
-184800	蒙彼	129270	33945	1	null
-184803	毛裤	65536	27611	3	{n=0}
-184808	新芬	98678	26032	1	null
-184809	洋相	65536	27915	3	{n=1}
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-184815	留声	109859	30041	1	null
-184821	简括	65536	31616	3	{a=0}
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-184827	蒙得	117806	33945	1	null
-184838	球磨	108639	29699	1	null
-184849	热处	103111	28909	1	null
-184850	活结	65536	27963	3	{n=0}
-184851	新苗	65536	26032	3	{n=1}
-184853	返贫	65536	36820	3	{v=0}
-184854	鲸须	65536	40120	3	{n=0}
-184856	眼圈	65536	30524	3	{n=2}
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-184859	活络	65536	27963	3	{a=0}
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-184864	紫丁	103529	32043	1	null
-184865	陆埠	124479	38470	1	null
-184868	顽钝	65536	39037	3	{a=0}
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-184875	皮开	104669	30382	1	null
-184876	紫不	114536	32043	1	null
-184877	新英	92826	26032	1	null
-184879	自然铜	65536	215142	3	{n=0}
-184880	鹞鹰	65536	40542	3	{n=0}
-184881	贺辞	65536	36154	3	{n=3}
-184882	松鼠	94352	26494	2	{n=2}
-184885	素绢	65536	32032	3	{n=0}
-184886	热天	65536	28909	3	{n=0}
-184889	越盾	65536	36234	3	{n=0}
-184890	科员	65536	31185	3	{n=2}
-184892	看轻	65536	30475	3	{v=1}
-184895	汉阙	65536	27721	3	{n=1}
-184898	法理	105311	27861	2	{n=0}
-184899	风雨飘	139654	243482	1	null
-184900	无能	100280	26080	2	{a=1}
-184903	画像	105497	30011	2	{n=3}
-184904	谈谈	65536	35848	3	{v=10}
-184907	皮张	65536	30382	3	{n=0}
-184910	海员	65536	28023	3	{n=1}
-184914	麻醉针	65536	226765	3	{n=0}
-184918	靠模	65536	38752	3	{n=0}
-184919	气焊	65536	27668	3	{n=0, vn=0}
-184921	直布	105461	30452	1	null
-184923	钟声	65536	38047	3	{n=21, nr=0}
-184924	破口	116409	30772	1	null
-184925	税额	65536	31246	3	{n=1}
-184927	饥饿	65536	39269	3	{n=5}
-184929	素缎	65536	32032	3	{n=0}
-184931	课间	128112	35838	2	{t=1}
-184934	等差	115889	31561	2	{n=0}
-184935	藏拙	65536	34255	3	{v=0}
-184937	海味	65536	28023	3	{n=0}
-184939	紫乌	122818	32043	1	null
-184942	贫道	65536	36139	3	{n=0}
-184944	街门	65536	34903	3	{n=0}
-184946	新茶	65536	26032	3	{n=0}
-184950	文锦	90712	25991	2	{ns=0}
-184952	满负	97938	28385	1	null
-184954	烟瘾	65536	28895	3	{n=1}
-184957	气焰	65536	27668	3	{n=1}
-184960	简捷	65536	31616	3	{a=0}
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-184965	本职	99102	26412	2	{n=3}
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-184983	舞客	65536	33310	3	{n=0}
-184988	皮影	112484	30382	2	{n=0}
-184991	钟头	65536	38047	3	{n=1}
-184993	水工	65536	27700	3	{n=3}
-184996	穷寇	65536	31351	3	{n=0}
-184998	清册	65536	28165	3	{n=0}
-185001	活罪	65536	27963	3	{n=0}
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-185008	紫云	109343	32043	1	null
-185009	气煤	65536	27668	3	{n=0}
-185010	油机	65536	27833	3	{n=0}
-185011	水巷	65536	27700	3	{n=1}
-185013	清军	65536	28165	3	{n=0}
-185021	打颤	65536	25171	3	{v=0}
-185022	水市	107366	27700	1	null
-185023	横贡	104037	27178	1	null
-185024	横财	65536	27178	3	{n=0}
-185025	油杉	65536	27833	3	{n=0}
-185028	水师	65536	27700	3	{n=0}
-185033	照见	65536	29031	3	{v=0}
-185037	横贯	65536	27178	3	{v=3}
-185039	豪语	65536	35946	3	{n=0}
-185040	看透	65536	30475	3	{v=1}
-185041	清冷	65536	28165	3	{a=0}
-185047	清冽	65536	28165	3	{a=1}
-185049	油条	65536	27833	3	{n=0}
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-185054	清凄	107178	28165	1	null
-185056	有瘾	65536	26377	3	{v=0}
-185059	清凉	109796	28165	2	{a=1, an=0}
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-185067	没错	65536	27809	3	{v=0}
-185071	画具	65536	30011	3	{n=0}
-185072	深灰	97158	28145	2	{b=0}
-185073	跑买	134404	36305	1	null
-185078	油松	65536	27833	3	{n=0}
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-185092	画册	65536	30011	3	{n=7}
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-185097	透支	65536	36879	3	{v=0, vd=0, vn=0}
-185100	满足	65536	28385	3	{a=5, an=4, v=81, vn=3}
-185101	沙皇	65536	27801	3	{n=4}
-185102	烟盒	65536	28895	3	{n=0}
-185103	齐东	131311	40784	1	null
-185107	离境	65536	31163	3	{v=1}
-185114	穷尽	65536	31351	3	{an=0, v=1, vn=0}
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-185124	藏掖	65536	34255	3	{v=0}
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-185143	视死	129635	35270	1	null
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-185154	鲁能	65536	40065	3	{nz=8}
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-185158	水床	65536	27700	3	{n=0}
-185159	磁效	115523	30913	1	null
-185161	油柑	65536	27833	3	{n=0}
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-185167	水库	65536	27700	3	{n=21}
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-185175	蓝汪	122701	34013	1	null
-185179	群情	116543	32676	2	{n=1}
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-185196	有益	102336	26377	2	{a=41, v=0}
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-185205	钻牛	125113	38075	1	null
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-185207	油柿	65536	27833	3	{n=0}
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-185365	文雅	65536	25991	3	{a=2}
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-185374	莫须	123430	33707	1	null
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-185381	水彩	97426	27700	2	{n=1}
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-185396	笑纹	65536	31505	3	{n=0}
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-185398	烧饼	65536	28903	3	{n=1}
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-185424	痛饮	65536	30171	3	{v=0}
-185427	烧香	65536	28903	3	{v=1}
-185431	留存	65536	30041	3	{v=2, vn=0}
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-185434	百岁	114762	30334	1	null
-185437	新蔡	98073	26032	1	null
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-185445	留学	116140	30041	2	{v=18, vn=6}
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-185448	清华	108429	28165	2	{j=10, nr=1}
-185449	靠水	142752	38752	1	null
-185454	肥力	106828	32933	2	{n=1}
-185455	清单	65536	28165	3	{n=3}
-185456	活脱	96427	27963	2	{a=0}
-185457	网兜	65536	32593	3	{n=0}
-185459	热学	65536	28909	3	{n=1}
-185460	辛劳	65536	36763	3	{a=8, an=2}
-185465	沙石	65536	27801	3	{n=1, nr=0}
-185466	证言	65536	35777	3	{n=5}
-185468	沙矶	105401	27801	1	null
-185469	直性	114690	30452	1	null
-185471	煤耗	65536	29028	3	{n=0}
-185473	竹入	65536	31481	3	{nr=0}
-185474	蜡花	65536	34593	3	{n=0}
-185476	纯种	65536	32431	3	{n=0}
-185477	打马	80503	25171	1	null
-185479	留守	65536	30041	3	{v=0, vn=0}
-185484	网具	65536	32593	3	{n=0}
-185485	种苗	65536	31181	3	{n=3}
-185486	看重	65536	30475	3	{v=7, vn=0}
-185496	画匠	65536	30011	3	{n=1}
-185497	烟硝	65536	28895	3	{n=0}
-185499	打骂	65536	25171	3	{v=1}
-185501	矿尘	65536	30719	3	{n=0}
-185505	留客	65536	30041	3	{v=0}
-185508	经济学	120366	198474	2	{n=52}
-185509	辛勤	65536	36763	3	{a=17, ad=9, an=0}
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-185513	文静	65536	25991	3	{a=1}
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-185534	留宿	65536	30041	3	{v=0}
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-185538	返还	65536	36820	3	{v=3, vn=0}
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-185558	满载	98817	28385	2	{v=17}
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-185588	海图	65536	28023	3	{n=0}
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-185628	简易	117995	31616	2	{a=19, ad=0, nr=0}
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-185648	辛卯	65536	36763	3	{m=0}
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-185661	科坛	65536	31185	3	{n=0}
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-185682	竹制	119919	31481	2	{b=0}
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-185716	魔芋	65536	39764	3	{n=0}
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-185743	限速	65536	38480	3	{n=1, vn=1}
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-185790	译音	65536	35793	3	{n=0}
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-185820	钟山	65536	38047	3	{nr=0, ns=71}
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-186240	毛躁	65536	27611	3	{a=0}
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-186363	直接	112579	30452	2	{a=90, ad=177, an=0, d=0}
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-186379	鞋匠	65536	38795	3	{n=0}
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-186505	气眼	65536	27668	3	{n=0}
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-187134	温血	109862	28201	1	null
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-187148	灵通	65536	28789	3	{a=0}
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-187163	流血	65536	27969	3	{v=9, vn=4}
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-187171	粗厚	65536	31895	3	{a=1}
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-187181	无触	91461	26080	1	null
-187184	新说	65536	26032	3	{n=1}
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-187201	满门	65536	28385	3	{n=0}
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-187208	有约	100183	26377	1	null
-187211	谈锋	65536	35848	3	{n=0}
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-187220	笔录	65536	31508	3	{n=3, vn=0}
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-187245	磁浮	65536	30913	3	{b=0}
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-187263	活血	108232	27963	1	null
-187271	跑圆	133421	36305	1	null
-187273	齿腔	65536	40831	3	{n=0}
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-187279	看风	118098	30475	1	null
-187280	聚众	65536	32858	3	{v=1}
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-187283	聚会	65536	32858	3	{v=12, vn=3}
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-187287	聚伞	112715	32858	1	null
-187288	球艺	65536	29699	3	{n=0}
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-187293	磨电	111018	30952	1	null
-187294	贵妃	65536	36149	3	{n=0}
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-187298	贵妇	134584	36149	2	{n=0}
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-187319	牛舍	65536	29275	3	{n=0}
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-187325	横队	65536	27178	3	{n=0}
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-187334	胡图	120719	32993	1	null
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-187336	新貌	65536	26032	3	{n=3}
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-187342	盘算	65536	30424	3	{v=3}
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-187361	饱经	141141	39281	2	{v=0}
-187364	气窗	65536	27668	3	{n=0}
-187367	油灯	65536	27833	3	{n=4}
-187368	油灰	65536	27833	3	{n=0}
-187372	真儿	65536	30495	3	{n=0}
-187373	驾驭	65536	39550	3	{v=9, vn=1}
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-187375	藏污	118283	34255	1	null
-187376	齐国	65536	40784	3	{n=0}
-187380	皮棉	65536	30382	3	{n=3}
-187382	驾驶	144903	39550	2	{v=15, vn=8}
-187383	虎仔	65536	34382	3	{n=3}
-187384	海市	95414	28023	1	null
-187389	论者	65536	35770	3	{n=3}
-187390	闭门	136982	38381	1	null
-187391	私党	65536	31169	3	{n=0}
-187393	衣分	65536	34915	3	{n=0}
-187394	鸿达	65536	40511	3	{nz=0}
-187396	辞职	136494	36766	2	{v=38, vn=10}
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-187402	简洁	115940	31616	2	{a=6}
-187404	蓝生	120488	34013	1	null
-187407	硬仗	65536	30828	3	{n=5}
-187412	鸿运	65536	40511	3	{n=0}
-187420	海带	65536	28023	3	{n=0}
-187421	蓝田	120977	34013	2	{ns=0}
-187422	积木	65536	31215	3	{n=0}
-187423	驻防	65536	39547	3	{v=0}
-187428	水杨	90223	27700	2	{n=0}
-187430	紫堇	65536	32043	3	{n=0}
-187436	球茎	105093	29699	2	{n=0}
-187438	硬件	65536	30828	3	{n=19}
-187439	露一	138573	38706	1	null
-187440	油炸	88758	27833	1	null
-187450	水松	65536	27700	3	{n=0}
-187452	返青	124513	36820	2	{v=0, vn=0}
-187453	死路	106426	27515	2	{n=0}
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-187459	羊三	118563	32650	1	null
-187461	洋腔	65536	27915	3	{n=0}
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-187473	线胀	111560	32447	1	null
-187475	齿舞	65536	40831	3	{ns=0}
-187479	油烟	65536	27833	3	{n=0}
-187480	水果	106494	27700	2	{n=65}
-187481	陆战	124267	38470	2	{n=0}
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-187485	科幻	65536	31185	3	{b=0, j=0, n=1}
-187486	适用	133530	36866	2	{a=11, an=1, v=19, vn=10}
-187492	游行	65536	28216	3	{v=5, vn=10}
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-187495	有翅	88047	26377	1	null
-187496	消融	65536	28040	3	{v=1, vn=0}
-187497	海平	97535	28023	1	null
-187500	玉簪	65536	29577	3	{n=0}
-187501	短发	65536	30701	3	{n=1}
-187503	游街	65536	28216	3	{v=0}
-187506	薄雾	65536	34180	3	{n=3}
-187510	铅白	65536	38085	3	{n=0}
-187511	积极	119717	31215	2	{a=238, ad=359, an=1, d=0, v=0, vn=0}
-187514	海庄	103535	28023	1	null
-187516	舞文	123861	33310	1	null
-187520	海床	65536	28023	3	{n=0}
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-187523	跑堂	134955	36305	1	null
-187524	财团	126561	36130	2	{n=10}
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-187545	隔断	65536	38548	3	{n=0, v=1}
-187546	真凭	115010	30495	1	null
-187550	良田	65536	33391	3	{n=3}
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-187555	立业	65536	31435	3	{v=0}
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-187563	私分	65536	31169	3	{v=4}
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-187572	真切	113615	30495	2	{a=5, ad=0, d=0}
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-187577	流觞	103245	27969	1	null
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-187591	鸭嘴龙	65536	174887	3	{n=0}
-187593	这样	137517	36825	2	{r=479}
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-187611	流言	95017	27969	2	{n=0}
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-187625	透漏	65536	36879	3	{v=0}
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-187639	无记	98810	26080	1	null
-187640	省政	116990	30465	1	null
-187641	衣勾	65536	34915	3	{n=0}
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-187649	无论	97418	26080	2	{c=62}
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-187993	豆瓣	133411	35910	2	{n=0}
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-188004	照镜	109729	29031	1	null
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-188009	水榭	65536	27700	3	{n=0}
-188010	磨砂	111020	30952	1	null
-188011	隔板	65536	38548	3	{n=0}
-188012	竹子	65536	31481	3	{n=9}
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-188019	还嘴	65536	36824	3	{v=0}
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-188026	言听	116967	35328	1	null
-188028	鲁谷	65536	40065	3	{ns=0}
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-188030	磨砖	116262	30952	1	null
-188033	间种	65536	38388	3	{v=0}
-188036	热敷	65536	28909	3	{v=0}
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-188039	眼捷	113413	30524	1	null
-188042	色酒	65536	33394	3	{n=0}
-188044	附件	65536	38468	3	{n=0}
-188052	视盘	65536	35270	3	{n=6}
-188054	火性	65536	28779	3	{n=0}
-188057	震区	65536	38663	3	{n=26}
-188058	观看	65536	35266	3	{v=70, vn=2}
-188061	无赖	65536	26080	3	{an=0, n=0}
-188066	磨砺	65536	30952	3	{v=0, vn=1}
-188069	角票	65536	35282	3	{n=0}
-188073	群氓	65536	32676	3	{n=0}
-188076	记下	65536	35760	3	{v=1}
-188078	记不	124887	35760	1	null
-188080	附会	65536	38468	3	{v=0, vn=0}
-188081	武部	65536	27494	3	{nr=0}
-188089	水槽	65536	27700	3	{n=0}
-188090	真名	115028	30495	2	{n=0}
-188091	蒙汗	116671	33945	1	null
-188092	温课	65536	28201	3	{v=0}
-188094	消解	65536	28040	3	{v=0, vn=0}
-188095	沙船	65536	27801	3	{n=0}
-188103	透热	128161	36879	1	null
-188104	错综	138205	38169	2	{z=1}
-188105	财大	126759	36130	2	{j=0}
-188109	洋菜	65536	27915	3	{n=0}
-188113	木麻	82304	26408	1	null
-188122	言和	65536	35328	3	{v=1}
-188126	种质	65536	31181	3	{n=17}
-188127	管中	110731	31649	1	null
-188128	活计	65536	27963	3	{n=2}
-188139	蓝矾	65536	34013	3	{n=0}
-188141	烟花	108375	28895	2	{n=19}
-188143	鼎鼎	145691	40718	1	null
-188144	薄饼	65536	34180	3	{n=0}
-188145	秋雨	65536	31179	3	{n=0}
-188149	骄阳	146115	39556	2	{n=4}
-188150	黔驴	148394	40660	1	null
-188151	清川	102960	28165	2	{n=0}
-188152	沙色	108174	27801	1	null
-188153	蜡质	65536	34593	3	{n=0}
-188154	无足	83608	26080	1	null
-188160	荒疏	65536	33618	3	{v=0}
-188161	色釉	65536	33394	3	{n=0}
-188162	管乐	120013	31649	2	{n=0}
-188163	水橇	65536	27700	3	{n=0}
-188164	资力	65536	36164	3	{n=0}
-188166	皮毛	65536	30382	3	{n=2}
-188169	贝贝	65536	36125	3	{nz=0}
-188171	贵峰	128291	36149	1	null
-188172	盘绕	65536	30424	3	{v=1}
-188173	新近	65536	26032	3	{b=1, d=13}
-188178	资助	65536	36164	3	{v=49, vn=20}
-188180	有色	102378	26377	2	{b=2}
-188182	穷根	109742	31351	2	{n=1}
-188183	新进	98692	26032	1	null
-188188	活话	65536	27963	3	{n=0}
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-188201	木鼓	65536	26408	3	{n=0}
-188204	记事	126642	35760	2	{v=2, vn=0}
-188205	越菲	65536	36234	3	{nz=0}
-188212	火情	65536	28779	3	{n=0}
-188216	糖食	65536	31958	3	{n=0}
-188217	笔挺	65536	31508	3	{z=0}
-188221	管事	65536	31649	3	{v=4, vn=3}
-188227	震古	134780	38663	1	null
-188228	经济昆	109420	198474	1	null
-188231	管井	65536	31649	3	{n=0}
-188234	观瞻	65536	35266	3	{n=0}
-188242	脑垂	126807	33041	1	null
-188243	良知	65536	33391	3	{n=6, nz=0}
-188247	盘缠	65536	30424	3	{n=0}
-188248	立像	65536	31435	3	{n=1}
-188253	画工	65536	30011	3	{n=0}
-188255	用材	109221	29992	2	{n=0}
-188257	本质	87393	26412	2	{d=0, n=58}
-188258	洋葱	65536	27915	3	{n=1}
-188260	网屏	65536	32593	3	{n=0}
-188263	讲演	121805	35762	2	{v=0, vn=1}
-188264	记仇	65536	35760	3	{v=0}
-188269	震后	65536	38663	3	{t=14}
-188270	真品	65536	30495	3	{n=1}
-188275	民行	65536	27665	3	{j=0}
-188276	用来	65536	29992	3	{v=3}
-188281	粉沙	65536	31881	3	{n=0}
-188283	画布	65536	30011	3	{n=0}
-188288	画师	65536	30011	3	{n=0}
-188293	烟草	112760	28895	2	{n=34}
-188296	有苦	83949	26377	1	null
-188301	清平	110657	28165	1	null
-188302	画帖	65536	30011	3	{n=0}
-188311	清幽	106523	28165	2	{a=0, an=0}
-188313	等次	65536	31561	3	{n=0}
-188316	闭馆	65536	38381	3	{v=0}
-188317	认错	65536	35748	3	{v=2}
-188320	逐户	65536	36880	3	{d=7, vd=0}
-188325	羊八	124856	32650	1	null
-188333	省柴	104908	30465	1	null
-188335	穷棒	117720	31351	1	null
-188339	这次	65536	36825	3	{r=259}
-188340	辛巳	65536	36763	3	{m=0}
-188348	鸟协	65536	40479	3	{j=0}
-188349	画幅	65536	30011	3	{n=2}
-188350	餐费	134489	39184	2	{n=3}
-188355	里脊	126617	37324	2	{n=0}
-188357	毛集	88702	27611	1	null
-188360	游记	65536	28216	3	{n=2}
-188363	独揽	65536	29420	3	{v=0}
-188365	糖饴	65536	31958	3	{n=0}
-188371	里脚	134360	37324	1	null
-188372	立克	114009	31435	1	null
-188373	虎劲	65536	34382	3	{n=0}
-188375	硬功	116649	30828	2	{n=0}
-188376	沙荒	105921	27801	2	{n=0}
-188382	糖馅	65536	31958	3	{n=5}
-188386	虎势	129578	34382	1	null
-188387	清廉	65536	28165	3	{a=4, ad=0, an=1}
-188392	考据	65536	32771	3	{v=0}
-188393	球蛋	104738	29699	1	null
-188394	新邮	65536	26032	3	{n=0}
-188395	私商	65536	31169	3	{n=0}
-188398	逆产	65536	36870	3	{n=0}
-188399	资历	65536	36164	3	{n=3}
-188400	记住	65536	35760	3	{v=18}
-188401	新邵	98083	26032	2	{ns=0}
-188403	离散	115689	31163	2	{b=0, v=0, vn=0}
-188405	馆长	65536	39302	3	{n=8}
-188409	贵州	124278	36149	2	{ns=58}
-188410	败退	65536	36133	3	{v=0, vn=0}
-188412	禁药	65536	31105	3	{n=0}
-188414	秋韵	65536	31179	3	{n=0}
-188417	管住	65536	31649	3	{v=1}
-188419	流质	65536	27969	3	{b=0}
-188424	留有	115983	30041	1	null
-188426	新郎	96075	26032	2	{n=3}
-188428	游说	65536	28216	3	{v=6, vn=0}
-188429	新郑	95459	26032	2	{ns=1}
-188430	海战	65536	28023	3	{v=0}
-188431	画店	65536	30011	3	{n=2}
-188432	特种	113088	29305	2	{b=10}
-188433	清廷	65536	28165	3	{n=0}
-188438	积欠	65536	31215	3	{n=0, v=0}
-188439	流贼	65536	27969	3	{n=0}
-188440	胡子	65536	32993	3	{n=3}
-188442	死里	89532	27515	1	null
-188443	维文	65536	32500	3	{n=0, nz=0}
-188453	牛虻	65536	29275	3	{n=0}
-188454	生不	98614	29983	1	null
-188456	热望	65536	28909	3	{v=0, vn=1}
-188457	露出	65536	38706	3	{v=14}
-188458	气绝	90721	27668	1	null
-188465	真善	105832	30495	1	null
-188466	粗墩	119711	31895	1	null
-188467	生业	65536	29983	3	{n=0}
-188469	立冬	65536	31435	3	{t=0}
-188470	生丝	65536	29983	3	{n=0}
-188472	输送	132793	36755	2	{v=13, vn=4}
-188473	新都	65536	26032	3	{n=7, ns=1}
-188474	科托	119326	31185	1	null
-188475	鞋子	65536	38795	3	{n=3}
-188477	海扇	65536	28023	3	{n=0}
-188482	画廊	65536	30011	3	{n=1}
-188484	维新	116352	32500	2	{n=0, nz=0}
-188485	甲辰	65536	30002	3	{m=0}
-188487	热机	65536	28909	3	{n=0}
-188492	等比	115896	31561	1	null
-188494	硬化	65536	30828	3	{v=1, vn=0}
-188495	论著	65536	35770	3	{n=7}
-188496	豪饮	65536	35946	3	{v=0, vn=0}
-188497	聚变	65536	32858	3	{vn=1}
-188500	油瓜	65536	27833	3	{n=0}
-188501	阵线	65536	38453	3	{n=8}
-188504	辛店	130459	36763	1	null
-188505	驻马	142147	39547	1	null
-188507	蒙混	113520	33945	2	{v=0}
-188509	陶窑	65536	38518	3	{n=3}
-188512	苏三	125221	33487	1	null
-188513	谢词	65536	35874	3	{n=0}
-188514	科技	121471	31185	2	{j=0, n=732, vn=0}
-188515	维族	65536	32500	3	{j=0, nz=2}
-188517	迷失	65536	36855	3	{v=3, vn=0}
-188518	法航	65536	27861	3	{j=0}
-188519	活质	65536	27963	3	{n=0}
-188522	照面	65536	29031	3	{v=0}
-188526	油瓶	65536	27833	3	{n=0}
-188529	灵长	102031	28789	1	null
-188534	矿柱	65536	30719	3	{n=0}
-188535	粗壮	65536	31895	3	{a=0}
-188537	粗声	110514	31895	1	null
-188539	素质	65536	32032	3	{n=307}
-188543	火成	108512	28779	1	null
-188544	经济杂	123709	198474	1	null
-188545	聚合	116891	32858	2	{v=1, vn=0}
-188547	牛蛙	65536	29275	3	{n=0}
-188548	苏中	65536	33487	3	{ns=0}
-188549	气缸	65536	27668	3	{n=0}
-188550	爱知	112001	29233	1	null
-188553	水母	65536	27700	3	{n=0}
-188555	破戒	65536	30772	3	{v=0}
-188557	贵干	65536	36149	3	{n=0}
-188559	管保	65536	31649	3	{v=0}
-188560	苏丹	128040	33487	2	{n=0, nr=0, ns=16}
-188571	海报	65536	28023	3	{n=0}
-188573	气罐	65536	27668	3	{n=0}
-188574	灰鲸	65536	28784	3	{n=0}
-188575	硬卧	65536	30828	3	{n=1}
-188580	生事	65536	29983	3	{v=1}
-188583	生于	65536	29983	3	{v=9}
-188584	油田	65536	27833	3	{n=63}
-188585	齐家	140810	40784	2	{v=0}
-188586	清徐	109278	28165	2	{ns=0}
-188591	无轨	90338	26080	2	{b=0}
-188592	粗大	65536	31895	3	{a=1}
-188595	油画	105031	27833	2	{n=14}
-188598	谢谢	65536	35874	3	{v=16}
-188599	积毁	102577	31215	1	null
-188604	矿样	65536	30719	3	{n=0}
-188606	烟蒂	65536	28895	3	{n=0}
-188607	海拉	106432	28023	1	null
-188608	生产	131712	29983	2	{n=7, v=332, vn=544}
-188611	脑壳	65536	33041	3	{n=1}
-188612	立刻	65536	31435	3	{d=15}
-188618	海拔	65536	28023	3	{n=24}
-188619	观礼	131020	35266	2	{vn=1}
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-188629	经济林	65536	198474	3	{n=43}
-188631	秋风	103626	31179	2	{n=0}
-188637	清心	107201	28165	2	{a=1}
-188643	无辜	65536	26080	3	{a=0, ad=0, an=1, d=0, n=8}
-188644	本身	65536	26412	3	{r=63}
-188646	脑外	115934	33041	1	null
-188652	馆陶	144330	39302	2	{ns=1}
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-188661	鹿皮	65536	40575	3	{n=0}
-188665	火把	65536	28779	3	{n=4}
-188667	现行	105517	29616	2	{b=31, j=0, v=1, vn=0}
-188672	无边	94265	26080	2	{z=6}
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-188677	病因	65536	30149	3	{n=3}
-188678	虎口	130460	34382	2	{n=0}
-188682	新野	98093	26032	2	{ns=0}
-188685	铅笔	130630	38085	2	{n=4}
-188686	特立	110309	29305	1	null
-188689	破折	117776	30772	1	null
-188690	浮财	65536	28014	3	{n=0}
-188691	网巾	65536	32593	3	{n=0}
-188698	视神	120090	35270	1	null
-188700	水池	65536	27700	3	{n=2}
-188701	水污	100886	27700	1	null
-188702	眼明	113419	30524	1	null
-188703	竹布	65536	31481	3	{n=1}
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-188706	深红	65536	28145	3	{b=0}
-188710	水汪	99712	27700	1	null
-188712	立功	105265	31435	2	{v=2, vn=1}
-188714	积水	112198	31215	2	{n=2, v=0, vn=0}
-188718	活路	65536	27963	3	{n=0}
-188724	竹帘	111610	31481	2	{n=0}
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-188728	留根	65536	30041	3	{v=0}
-188729	水汽	65536	27700	3	{n=3}
-188731	良种	127459	33391	2	{b=0, n=15}
-188735	财宝	65536	36130	3	{n=0}
-188736	耳光	65536	32819	3	{n=0}
-188741	热核	111393	28909	1	null
-188745	竹席	65536	31481	3	{n=1}
-188750	矿棉	65536	30719	3	{n=0}
-188757	海损	65536	28023	3	{n=0}
-188758	简牍	65536	31616	3	{n=0}
-188760	笑话	111355	31505	2	{n=3, v=0}
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-188764	游资	65536	28216	3	{n=7}
-188769	苏伊	126131	33487	1	null
-188772	齐山	147359	40784	1	null
-188776	笑语	65536	31505	3	{n=3}
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-188778	肥得	106419	32933	1	null
-188781	陶管	65536	38518	3	{n=0}
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-188783	私囊	65536	31169	3	{n=0}
-188790	经济核	112206	198474	1	null
-188795	独断	114280	29420	2	{v=0}
-188799	深绿	65536	28145	3	{b=0}
-188800	水泄	107488	27700	1	null
-188801	球衣	65536	29699	3	{n=0}
-188802	灵隐	108932	28789	1	null
-188803	笑谈	65536	31505	3	{n=1, v=0}
-188804	输配	126880	36755	1	null
-188806	照顾	65536	29031	3	{v=25, vn=6}
-188808	游走	111113	28216	1	null
-188809	球衫	65536	29699	3	{n=0}
-188812	特等	112771	29305	2	{b=0}
-188813	羊卓	106369	32650	1	null
-188816	煤质	65536	29028	3	{n=0}
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-188830	水波	65536	27700	3	{n=1}
-188832	短处	65536	30701	3	{n=0}
-188833	水泥	100977	27700	2	{n=20}
-188835	私图	65536	31169	3	{n=0}
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-188838	齐岳	145001	40784	1	null
-188839	本轮	65536	26412	3	{r=23}
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-188854	盘腿	65536	30424	3	{v=2, vd=0}
-188855	水泻	65536	27700	3	{n=0}
-188857	水泽	65536	27700	3	{n=0}
-188858	清悠	105990	28165	1	null
-188867	短大	104030	30701	1	null
-188878	露原	139319	38706	1	null
-188882	贵德	133305	36149	1	null
-188883	水洗	103407	27700	2	{b=0}
-188887	维权	65536	32500	3	{j=0}
-188888	破损	65536	30772	3	{v=0, vn=0}
-188890	负约	65536	36127	3	{v=0}
-188894	甲酉	65536	30002	3	{m=0}
-188899	立博	65536	31435	3	{nz=0}
-188906	火捻	65536	28779	3	{n=0}
-188907	餐车	65536	39184	3	{n=0}
-188908	紫巍	118855	32043	1	null
-188911	甲酚	65536	30002	3	{n=0}
-188913	生俘	65536	29983	3	{v=0}
-188918	生保	65536	29983	3	{j=0}
-188919	陆架	65536	38470	3	{n=0}
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-188925	水流	90149	27700	2	{n=1}
-188927	爱神	65536	29233	3	{n=0}
-188929	牛街	65536	29275	3	{ns=0}
-188930	球裤	65536	29699	3	{n=0}
-188931	水浇	105159	27700	1	null
-188935	笑貌	65536	31505	3	{n=0}
-188938	鲁迅	141263	40065	2	{nr=25}
-188941	甲酸	65536	30002	3	{n=0}
-188942	水浒	107225	27700	2	{n=1, nz=4}
-188945	看齐	65536	30475	3	{v=16}
-188947	灰鸭	65536	28784	3	{n=0}
-188948	消费	108501	28040	2	{n=2, v=30, vn=106}
-188949	网开	124806	32593	1	null
-188950	火控	65536	28779	3	{b=0}
-188952	水浜	65536	27700	3	{n=2}
-188955	苏俄	65536	33487	3	{j=0}
-188956	甲醇	65536	30002	3	{n=0}
-188960	齐崭	144814	40784	1	null
-188961	针锋	129739	38024	1	null
-188962	荒碱	127178	33618	1	null
-188964	被除	125919	34987	1	null
-188965	耳刮	122502	32819	1	null
-188970	水浮	93770	27700	1	null
-188971	灰鹅	65536	28784	3	{n=0}
-188972	鸿门	144143	40511	1	null
-188973	温软	65536	28201	3	{a=1}
-188975	甲醚	65536	30002	3	{n=0}
-188976	甲醛	65536	30002	3	{n=6}
-188982	附加	142189	38468	2	{v=1, vn=4}
-188997	气胸	65536	27668	3	{n=0}
-188999	流转	98361	27969	2	{v=1, vn=0}
-189000	油盐	91277	27833	2	{n=1}
-189002	灰鹤	65536	28784	3	{n=0}
-189003	科摩	107902	31185	1	null
-189008	油盘	65536	27833	3	{n=0}
-189011	视窗	65536	35270	3	{n=3, nz=0}
-189015	陆栖	141546	38470	1	null
-189017	水涝	65536	27700	3	{n=0}
-189018	舞步	65536	33310	3	{n=1}
-189021	水涡	65536	27700	3	{n=0}
-189022	陶粒	65536	38518	3	{n=0}
-189023	电业	65536	30005	3	{n=1}
-189028	水涨	94148	27700	1	null
-189031	顾盼	134786	39038	2	{v=1}
-189033	等深	109414	31561	1	null
-189035	武钢	65536	27494	3	{n=2}
-189037	鹿砦	65536	40575	3	{n=0}
-189041	浮躁	65536	28014	3	{a=5, an=2}
-189043	运气	65536	36816	3	{a=0, n=8}
-189044	贵恙	65536	36149	3	{n=0}
-189047	田纳	100613	30000	2	{nr=0}
-189052	水淀	65536	27700	3	{n=0}
-189058	铅粉	65536	38085	3	{n=0}
-189060	福音	120193	31119	2	{n=1, nz=0}
-189063	水淋	99393	27700	1	null
-189068	载驳	123470	36733	1	null
-189069	民警	65536	27665	3	{n=83}
-189072	逆光	65536	36870	3	{v=0}
-189073	爱称	65536	29233	3	{n=0}
-189077	深耕	98101	28145	2	{v=0}
-189083	虎啸	65536	34382	3	{n=3}
-189086	负罪	129534	36127	2	{n=1}
-189089	等温	109416	31561	2	{b=0}
-189090	流过	65536	27969	3	{v=3}
-189095	记分	132182	35760	2	{vn=0}
-189098	灰黄	93768	28784	1	null
-189101	水深	98722	27700	2	{n=4}
-189104	阵脚	65536	38453	3	{n=0}
-189108	玉色	65536	29577	3	{n=0}
-189110	积淀	65536	31215	3	{v=3, vn=4}
-189113	流连	105072	27969	2	{v=0}
-189118	背对	113711	32972	1	null
-189124	良策	65536	33391	3	{n=1}
-189126	气腹	65536	27668	3	{n=0}
-189128	肉丁	65536	32905	3	{n=0}
-189140	纸上	107638	32440	1	null
-189143	独有	65536	29420	3	{a=2, v=10, vn=0}
-189144	烟蚜	65536	28895	3	{n=0}
-189148	水渠	65536	27700	3	{n=2}
-189151	迷宫	65536	36855	3	{n=4}
-189153	秋高	112767	31179	1	null
-189154	质量	134717	36136	2	{n=422}
-189156	肉丝	107572	32905	2	{n=2}
-189157	水温	65536	27700	3	{n=1}
-189159	钟楼	65536	38047	3	{n=2, ns=0}
-189160	管制	120830	31649	2	{v=5, vn=22}
-189169	沙虫	65536	27801	3	{n=0}
-189170	直溜	109801	30452	2	{a=0}
-189172	肉中	125277	32905	1	null
-189173	流通	108593	27969	2	{v=39, vn=55}
-189174	独木	114298	29420	2	{n=0}
-189175	纯血	103882	32431	1	null
-189176	流逝	65536	27969	3	{v=1, vn=3}
-189178	流速	93875	27969	2	{n=0}
-189183	肉丸	65536	32905	3	{n=0}
-189189	鸿雁	147364	40511	2	{n=12}
-189190	灰鼠	102055	28784	2	{n=0}
-189191	贪色	65536	36138	3	{a=0}
-189194	认领	65536	35748	3	{v=0}
-189200	电介	99818	30005	1	null
-189201	鞋带	65536	38795	3	{n=1}
-189202	运河	126075	36816	2	{n=13, ns=2}
-189204	生僻	65536	29983	3	{a=0}
-189206	无量	65536	26080	3	{v=0}
-189209	鞋帮	65536	38795	3	{n=0}
-189211	陆棚	65536	38470	3	{n=0}
-189214	默祷	65536	40664	3	{v=0}
-189215	积温	65536	31215	3	{n=1}
-189216	脑子	65536	33041	3	{n=12}
-189217	本部	65536	26412	3	{n=0}
-189218	被面	65536	34987	3	{n=0}
-189219	私塾	65536	31169	3	{n=0}
-189223	粗实	65536	31895	3	{a=0}
-189224	鞋帽	65536	38795	3	{n=1}
-189225	电令	65536	30005	3	{n=0}
-189228	笔札	65536	31508	3	{n=0}
-189229	跳月	65536	36339	3	{n=0}
-189231	电仪	65536	30005	3	{n=0}
-189235	独来	104870	29420	1	null
-189236	衣夹	65536	34915	3	{n=0}
-189237	海政	65536	28023	3	{j=0}
-189238	背山	110470	32972	1	null
-189243	科教	119651	31185	2	{j=18}
-189244	电价	65536	30005	3	{n=72}
-189245	洋行	65536	27915	3	{n=1}
-189246	百步	106021	30334	1	null
-189248	记功	65536	35760	3	{v=1, vn=0}
-189249	民谚	65536	27665	3	{n=1}
-189251	豆种	65536	35910	3	{n=0}
-189252	逆函	132198	36870	1	null
-189253	笔杆	118339	31508	1	null
-189255	豆科	65536	35910	3	{n=0}
-189258	民谣	65536	27665	3	{n=4}
-189260	水源	65536	27700	3	{n=17}
-189262	逐日	65536	36880	3	{d=1}
-189264	病夫	65536	30149	3	{n=0}
-189269	舞池	65536	33310	3	{n=1}
-189270	鼠蹊	65536	40736	3	{n=0}
-189272	生儿	102600	29983	1	null
-189273	清房	109577	28165	1	null
-189277	维棉	120252	32500	1	null
-189282	生光	65536	29983	3	{n=0}
-189284	言外	132680	35328	1	null
-189285	电传	109531	30005	2	{n=1}
-189287	赛程	65536	36187	3	{n=2}
-189288	言多	128217	35328	1	null
-189290	队礼	65536	38431	3	{n=0}
-189291	油石	65536	27833	3	{n=0}
-189292	爱立	112992	29233	1	null
-189294	豆秸	65536	35910	3	{n=0}
-189295	玉茭	104309	29577	2	{n=2}
-189298	水溶	102903	27700	1	null
-189299	毛驴	65536	27611	3	{n=0}
-189300	脑室	65536	33041	3	{n=0}
-189301	用武	115698	29992	2	{v=0}
-189303	油矿	65536	27833	3	{n=1}
-189305	胆魄	65536	32966	3	{n=1}
-189306	油砂	65536	27833	3	{n=0}
-189308	牛角	110059	29275	2	{n=0}
-189312	鞋底	65536	38795	3	{n=0}
-189316	纸人	65536	32440	3	{n=0}
-189317	清扫	106692	28165	2	{v=10, vn=1}
-189318	游轮	65536	28216	3	{n=1}
-189319	财工	132975	36130	1	null
-189330	电位	113857	30005	2	{n=0}
-189332	生养	65536	29983	3	{v=1, vn=0}
-189334	磁疗	65536	30913	3	{v=0}
-189337	考期	65536	32771	3	{t=0}
-189343	隔河	139384	38548	1	null
-189345	验血	65536	39564	3	{v=0, vn=0}
-189347	灯饰	65536	28783	3	{n=13}
-189348	跳板	65536	36339	3	{n=9}
-189351	毛骨	102189	27611	1	null
-189354	火攻	65536	28779	3	{v=0}
-189359	院落	65536	38498	3	{n=8}
-189360	水滴	96808	27700	2	{n=1}
-189365	笔架	65536	31508	3	{n=1}
-189366	洋装	65536	27915	3	{n=1}
-189369	皮炎	65536	30382	3	{n=0}
-189373	财帛	65536	36130	3	{n=0}
-189374	水漂	65536	27700	3	{n=0}
-189375	气色	65536	27668	3	{n=0}
-189379	苏公	65536	33487	3	{j=0}
-189380	新针	89430	26032	1	null
-189381	水漉	99105	27700	1	null
-189386	藏琼	121128	34255	1	null
-189389	辛戌	65536	36763	3	{m=0}
-189390	煤车	65536	29028	3	{n=0}
-189391	气节	65536	27668	3	{n=2}
-189392	生冷	65536	29983	3	{n=0}
-189402	新钞	65536	26032	3	{n=0}
-189407	独树	114325	29420	1	null
-189414	米粉	109393	31859	2	{n=0}
-189415	水漫	90203	27700	1	null
-189416	纸伞	65536	32440	3	{n=0}
-189418	生凑	65536	29983	3	{v=0}
-189420	管区	65536	31649	3	{n=5}
-189423	米粒	65536	31859	3	{n=4}
-189424	记协	65536	35760	3	{j=8}
-189426	苏军	65536	33487	3	{j=0}
-189428	线衣	65536	32447	3	{n=0}
-189429	还家	65536	36824	3	{v=0}
-189432	画技	65536	30011	3	{n=0}
-189433	私奔	65536	31169	3	{v=0}
-189436	武阳	88044	27494	1	null
-189442	米粥	65536	31859	3	{n=0}
-189444	辞行	65536	36766	3	{v=1, vn=1}
-189445	理解	114005	29702	2	{v=63, vn=38}
-189446	逆势	65536	36870	3	{vd=1}
-189447	盛行	65536	30427	3	{v=7}
-189449	错落	134628	38169	2	{v=0, vd=0, vn=0}
-189450	本金	65536	26412	3	{n=4}
-189451	米粮	118270	31859	1	null
-189459	生出	65536	29983	3	{v=2}
-189461	海星	65536	28023	3	{n=2, nz=0}
-189462	财年	65536	36130	3	{j=0}
-189464	田联	65536	30000	3	{j=1}
-189466	肉体	65536	32905	3	{n=0}
-189467	海春	65536	28023	3	{nz=0}
-189469	画报	105173	30011	2	{n=4}
-189471	生分	65536	29983	3	{a=0}
-189474	附和	65536	38468	3	{v=0, vn=1}
-189475	耳听	125861	32819	1	null
-189478	电信	116040	30005	2	{j=0, n=45}
-189480	武陟	104822	27494	1	null
-189481	水潭	65536	27700	3	{n=6}
-189482	谷苗	65536	35895	3	{n=0}
-189483	盛衰	104267	30427	2	{n=0, v=0}
-189490	米糕	65536	31859	3	{n=0}
-189491	游逛	65536	28216	3	{v=0}
-189492	画押	65536	30011	3	{v=0}
-189495	陈兵	65536	38472	3	{v=0}
-189496	煤运	65536	29028	3	{j=0, nz=1}
-189501	米糠	65536	31859	3	{n=0}
-189502	武陵	97958	27494	2	{ns=2}
-189507	用水	98421	29992	2	{n=3, v=5, vn=0}
-189508	粉煤	113602	31881	2	{n=0}
-189516	新锐	65536	26032	3	{n=2}
-189520	科普	111212	31185	2	{b=27, n=0}
-189526	线装	123495	32447	2	{b=3}
-189529	讲理	65536	35762	3	{a=0, v=0}
-189535	考查	65536	32771	3	{v=0, vn=1}
-189536	破旧	107838	30772	2	{a=2, an=1}
-189537	正襟	104728	27491	1	null
-189539	民贼	65536	27665	3	{n=0}
-189540	留步	65536	30041	3	{v=0}
-189541	海景	65536	28023	3	{n=0}
-189542	生前	65536	29983	3	{t=24}
-189549	虎坊	124047	34382	1	null
-189550	简略	65536	31616	3	{a=0}
-189553	逐月	65536	36880	3	{d=4}
-189559	记取	65536	35760	3	{v=3}
-189562	记叙	132765	35760	2	{v=0}
-189567	沙蟹	65536	27801	3	{n=0}
-189568	盛装	65536	30427	3	{n=4}
-189569	正西	65536	27491	3	{f=0}
-189571	正要	65536	27491	3	{d=0}
-189576	震天	142493	38663	2	{v=1, vn=0}
-189582	火星	65536	28779	3	{n=6, nz=0}
-189588	鼠辈	65536	40736	3	{n=0}
-189592	记号	65536	35760	3	{n=2}
-189596	谷草	65536	35895	3	{n=0}
-189599	胡志	120657	32993	1	null
-189605	素酒	65536	32032	3	{n=0}
-189606	跳梁	132319	36339	1	null
-189607	流里	101653	27969	1	null
-189610	流量	94706	27969	2	{n=2}
-189611	短小	107014	30701	2	{z=1}
-189612	流金	91540	27969	1	null
-189613	短少	65536	30701	3	{v=2}
-189614	记名	65536	35760	3	{v=0, vn=1}
-189618	考核	110851	32771	2	{v=13, vn=42}
-189620	生力	114657	29983	1	null
-189622	齐心	147342	40784	2	{a=1, ad=1, an=0}
-189626	逐村	121404	36880	1	null
-189630	苏剧	65536	33487	3	{n=0}
-189632	贵报	65536	36149	3	{n=8}
-189633	生动	65536	29983	3	{a=46, ad=1, an=0}
-189638	正规	105206	27491	2	{a=11}
-189639	烟袋	94606	28895	2	{n=0}
-189640	正视	103822	27491	2	{v=14, vn=1}
-189642	逐条	65536	36880	3	{d=0}
-189643	角美	114376	35282	1	null
-189644	破晓	65536	30772	3	{v=0}
-189649	题解	65536	39064	3	{n=0}
-189652	正角	105294	27491	1	null
-189655	磁盘	113314	30913	2	{n=0}
-189656	生势	65536	29983	3	{n=0}
-189657	陈列	141053	38472	2	{v=6, vn=0}
-189658	短尾	109471	30701	1	null
-189659	消退	65536	28040	3	{v=1}
-189661	蒙特	129299	33945	1	null
-189664	油票	65536	27833	3	{n=0}
-189665	私娼	65536	31169	3	{n=0}
-189666	有血	96166	26377	1	null
-189668	用法	65536	29992	3	{n=1, v=0}
-189669	胡思	126707	32993	1	null
-189671	视紫	116418	35270	1	null
-189672	热毛	109474	28909	1	null
-189673	特约	102628	29305	2	{b=1, v=0}
-189674	特级	65536	29305	3	{b=13}
-189675	背带	65536	32972	3	{n=0}
-189680	跳棋	65536	36339	3	{n=0}
-189682	深色	65536	28145	3	{b=1}
-189688	消逝	65536	28040	3	{v=0, vn=1}
-189692	黏附	65536	40655	3	{v=0}
-189694	海月	102305	28023	1	null
-189698	正言	104710	27491	1	null
-189707	活里	106137	27963	1	null
-189708	死难	93628	27515	2	{b=1, v=0, vn=1}
-189710	队章	65536	38431	3	{n=0}
-189712	现象	111481	29616	2	{n=226}
-189713	沙袋	65536	27801	3	{n=0}
-189716	逆反	133657	36870	1	null
-189724	陶罐	65536	38518	3	{n=0}
-189727	逆变	132733	36870	1	null
-189729	热气	103156	28909	2	{n=1}
-189731	火暴	65536	28779	3	{a=0}
-189735	水火	101456	27700	2	{n=2}
-189739	磨练	65536	30952	3	{v=4, vn=1}
-189740	粉牌	65536	31881	3	{n=0}
-189743	生化	65536	29983	3	{j=1}
-189745	水灵	98751	27700	2	{a=1}
-189746	水灶	65536	27700	3	{n=0}
-189747	留水	65536	30041	3	{v=1}
-189751	新闻	104208	26032	2	{n=364}
-189754	水灾	65536	27700	3	{n=5}
-189756	海杆	65536	28023	3	{n=0}
-189758	消遣	65536	28040	3	{v=4, vn=0}
-189759	钻营	65536	38075	3	{v=0}
-189760	消遥	96901	28040	1	null
-189761	热水	110737	28909	2	{n=2}
-189762	羊圈	65536	32650	3	{n=2}
-189770	用活	65536	29992	3	{v=1}
-189771	险段	65536	38505	3	{n=0}
-189774	矿泉	116363	30719	2	{n=0}
-189781	线规	65536	32447	3	{n=0}
-189784	逆向	65536	36870	3	{a=0, b=0, d=1}
-189785	赶上	65536	36214	3	{v=8}
-189786	赶下	133835	36214	1	null
-189788	赶不	133880	36214	1	null
-189789	鸟声	65536	40479	3	{n=0}
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-191716	私房	104573	31169	2	{n=4}
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-191733	有道	96443	26377	1	null
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-191742	绝交	65536	32477	3	{v=0}
-191743	火源	65536	28779	3	{n=0}
-191747	美元	65536	32654	3	{n=112, q=535}
-191749	省界	65536	30465	3	{n=0}
-191750	相与	65536	30456	3	{v=0}
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-191778	鞋样	65536	38795	3	{n=0}
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-191803	石化	65536	30707	3	{j=9}
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-191812	用电	110615	29992	2	{n=5, v=11, vn=0}
-191813	石匠	65536	30707	3	{n=1}
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-191822	清水	109317	28165	2	{n=6, nr=1, ns=0}
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-191824	相乘	65536	30456	3	{v=0}
-191829	边上	65536	36793	3	{f=2, s=0}
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-191835	美军	65536	32654	3	{j=6, n=10}
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-191837	盘账	65536	30424	3	{v=0}
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-191839	硬性	65536	30828	3	{b=2, d=5}
-191840	现钱	65536	29616	3	{n=1}
-191844	海潮	65536	28023	3	{n=1}
-191848	翻印	65536	32763	3	{v=1}
-191850	玉质	65536	29577	3	{n=0}
-191852	电大	65536	30005	3	{j=3}
-191853	水碱	65536	27700	3	{n=0}
-191856	生字	100645	29983	2	{n=0}
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-191861	火漆	65536	28779	3	{n=0}
-191863	豆萁	65536	35910	3	{n=0}
-191865	清江	65536	28165	3	{n=0, ns=0}
-191866	水碾	65536	27700	3	{n=0}
-191868	石南	65536	30707	3	{ns=1}
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-191874	经历	65536	32463	3	{n=43, p=0, v=41, vn=0}
-191882	相互	118132	30456	2	{b=32, d=125}
-191886	烟酒	65536	28895	3	{n=2}
-191893	石印	65536	30707	3	{v=0}
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-191900	相交	65536	30456	3	{v=3}
-191903	钟琴	65536	38047	3	{n=0}
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-191911	苏子	65536	33487	3	{n=0}
-191912	细作	65536	32454	3	{n=0}
-191914	相亲	107723	30456	2	{v=2, vn=0}
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-191918	气象	107321	27668	2	{n=51}
-191919	简约	65536	31616	3	{a=1}
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-191932	附带	65536	38468	3	{ad=0, v=3}
-191937	魔高	147182	39764	1	null
-191940	石原	65536	30707	3	{nr=0}
-191942	美分	65536	32654	3	{q=6}
-191943	真挚	65536	30495	3	{a=9, an=2}
-191945	部落	65536	37096	3	{n=4}
-191948	简练	65536	31616	3	{a=3}
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-191954	短收	65536	30701	3	{v=0, vn=1}
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-191960	贪赃	128142	36138	2	{v=0}
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-191967	禁酒	65536	31105	3	{v=0, vn=0}
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-191977	美利	122669	32654	1	null
-191980	群策	112480	32676	1	null
-191982	经史	120413	32463	1	null
-191988	粉笔	65536	31881	3	{n=2}
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-192000	新黄	91550	26032	1	null
-192004	经合	65536	32463	3	{j=7}
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-192018	相会	65536	30456	3	{v=3}
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-192038	清洌	102842	28165	2	{a=0}
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-192044	相伴	65536	30456	3	{v=2}
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-192048	藏红	117267	34255	1	null
-192049	清洗	109701	28165	2	{v=3, vn=10}
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-192052	相似	113766	30456	2	{a=18, an=0}
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-192061	粗暴	65536	31895	3	{a=1, ad=1, an=0}
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-192065	深证	97635	28145	2	{j=5}
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-192522	紫毫	65536	32043	3	{n=0}
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-192530	硬拚	65536	30828	3	{v=0}
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-192534	迎难	124514	36814	1	null
-192539	震撼	143559	38663	2	{v=15, vn=7}
-192542	耳性	65536	32819	3	{n=0}
-192544	清漆	65536	28165	3	{n=0}
-192546	结亲	65536	32467	3	{v=0, vn=0}
-192547	肉孜	112926	32905	1	null
-192551	阳信	140629	38451	2	{ns=0}
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-192558	言无	132784	35328	1	null
-192559	眼生	65536	30524	3	{a=0}
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-192564	硬拼	65536	30828	3	{v=0}
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-192567	结仇	65536	32467	3	{v=0}
-192568	记得	65536	35760	3	{v=32}
-192571	英伦	65536	33521	3	{j=1, ns=1}
-192575	硬指	112850	30828	1	null
-192577	洋镐	65536	27915	3	{n=0}
-192582	短枪	65536	30701	3	{n=0}
-192586	贵港	65536	36149	3	{ns=1}
-192587	罗圈	117900	32599	2	{n=0}
-192589	诗化	65536	35799	3	{v=1, vn=1}
-192591	海牙	65536	28023	3	{ns=0}
-192593	海牛	65536	28023	3	{nz=0}
-192594	细分	65536	32454	3	{v=0, vn=0}
-192595	紫水	116640	32043	1	null
-192597	鲜味	65536	40092	3	{n=0}
-192599	负责	134259	36127	2	{a=4, ad=0, an=0, v=177, vn=50}
-192600	齐步	132481	40784	2	{d=1}
-192601	石嘴	115352	30707	1	null
-192603	科特	103692	31185	1	null
-192604	眼界	65536	30524	3	{n=11}
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-192610	竹浆	65536	31481	3	{n=0}
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-192613	细则	65536	32454	3	{n=5}
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-192619	相关	113576	30456	2	{b=8, v=34, vn=29}
-192620	藏胞	65536	34255	3	{n=2}
-192621	水箱	65536	27700	3	{n=7}
-192625	种麻	65536	31181	3	{n=0}
-192626	硬挺	65536	30828	3	{v=1}
-192628	造像	65536	36896	3	{n=0}
-192629	火爆	103086	28779	2	{a=8, an=1}
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-192632	矿石	65536	30719	3	{n=3}
-192638	货位	65536	36135	3	{n=0}
-192640	球面	114127	29699	2	{n=0}
-192641	正长	95400	27491	1	null
-192644	相册	65536	30456	3	{n=0}
-192645	里里	136724	37324	1	null
-192646	脚印	65536	33050	3	{n=2}
-192647	矿砂	65536	30719	3	{n=0}
-192649	结伙	65536	32467	3	{v=1, vd=1}
-192650	盘道	65536	30424	3	{n=0}
-192652	生平	114188	29983	2	{n=10}
-192653	石器	65536	30707	3	{n=1}
-192660	游鱼	65536	28216	3	{n=1}
-192661	蜡黄	65536	34593	3	{z=1}
-192662	记念	65536	35760	3	{v=0}
-192664	绿叶	65536	32511	3	{n=1, nz=1}
-192672	陈州	65536	38472	3	{ns=0}
-192674	清澈	65536	28165	3	{a=4, an=1}
-192676	结伴	65536	32467	3	{v=0, vd=0}
-192679	隔离	139679	38548	2	{v=0, vd=0, vn=10}
-192681	球鞋	65536	29699	3	{n=0}
-192685	肥滚	118109	32933	1	null
-192695	火版	65536	28779	3	{n=0}
-192698	迎面	124517	36814	2	{b=1, d=6}
-192699	气轮	100839	27668	1	null
-192702	边关	65536	36793	3	{n=0}
-192705	间谍	129081	38388	2	{n=6}
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-192710	鼻儿	65536	40763	3	{n=0}
-192712	记性	65536	35760	3	{n=0}
-192713	结余	65536	32467	3	{n=4, v=1}
-192717	海狗	65536	28023	3	{n=0}
-192718	眼疾	113443	30524	2	{n=0}
-192722	紫河	106163	32043	1	null
-192725	眼病	65536	30524	3	{n=0}
-192728	火物	65536	28779	3	{nr=0}
-192729	语体	127583	35821	1	null
-192732	真是	65536	30495	3	{d=32, v=1}
-192734	经团	110944	32463	1	null
-192735	英俊	65536	33521	3	{a=0, nr=0}
-192736	跑江	127516	36305	1	null
-192740	海狮	65536	28023	3	{n=1, nz=0}
-192746	正门	65536	27491	3	{n=4}
-192747	等米	121898	31561	1	null
-192749	独生	111423	29420	1	null
-192750	海狸	89310	28023	2	{n=0}
-192757	钻进	65536	38075	3	{v=0}
-192758	正间	100957	27491	1	null
-192767	相切	65536	30456	3	{v=0}
-192770	诗友	65536	35799	3	{n=0}
-192776	衣服	65536	34915	3	{n=29}
-192777	记恨	65536	35760	3	{v=0}
-192783	田赋	65536	30000	3	{n=0}
-192785	罗城	65536	32599	3	{ns=0}
-192795	纸屑	65536	32440	3	{n=6}
-192796	诗句	65536	35799	3	{n=5}
-192797	气运	65536	27668	3	{n=0}
-192799	田赛	65536	30000	3	{n=0}
-192800	海猪	65536	28023	3	{n=0}
-192804	脚后	110840	33050	1	null
-192808	翻地	65536	32763	3	{v=0}
-192809	诗史	65536	35799	3	{n=0}
-192815	水米	101505	27700	1	null
-192817	造册	65536	36896	3	{v=2}
-192818	翻场	65536	32763	3	{v=0}
-192821	正阳	104671	27491	2	{ns=2}
-192822	陈年	129969	38472	2	{b=0, n=0}
-192825	陆相	134933	38470	2	{n=0}
-192826	笔画	65536	31508	3	{n=1, v=0}
-192830	院里	65536	38498	3	{n=7}
-192831	火狐	102845	28779	2	{n=0}
-192833	沙钻	88190	27801	1	null
-192837	水粉	97580	27700	2	{n=0}
-192838	陈庄	142677	38472	1	null
-192839	油藏	65536	27833	3	{n=0}
-192849	直系	117990	30452	2	{b=0}
-192851	有钱	65536	26377	3	{a=1}
-192853	种龟	65536	31181	3	{n=0}
-192855	观览	65536	35266	3	{v=0}
-192857	铺位	65536	38138	3	{n=2}
-192864	活鸡	65536	27963	3	{n=0}
-192866	细化	65536	32454	3	{v=2, vn=0}
-192867	海獭	65536	28023	3	{n=0}
-192874	编入	65536	32534	3	{v=7, vn=0}
-192877	货值	65536	36135	3	{n=0}
-192878	脱光	65536	33073	3	{v=0}
-192883	石坎	65536	30707	3	{n=0}
-192884	素鸡	65536	32032	3	{n=0}
-192892	石块	65536	30707	3	{n=3}
-192895	脱党	65536	33073	3	{v=0}
-192897	海王	103907	28023	1	null
-192898	粉红	108994	31881	2	{b=2}
-192901	视觉	65536	35270	3	{n=5}
-192905	线闸	65536	32447	3	{n=0}
-192906	编内	65536	32534	3	{n=2}
-192907	沙锅	65536	27801	3	{n=0}
-192910	视角	65536	35270	3	{n=13}
-192911	阳光	140688	38451	2	{n=47, nz=0}
-192917	相劝	65536	30456	3	{v=0}
-192918	饭局	65536	39277	3	{n=0}
-192920	相加	65536	30456	3	{v=4, vn=0}
-192921	考生	65536	32771	3	{n=5}
-192925	错金	65536	38169	3	{n=0}
-192926	编写	65536	32534	3	{v=22, vn=0}
-192927	粉线	65536	31881	3	{n=0}
-192929	相助	65536	30456	3	{v=1}
-192932	鞋油	65536	38795	3	{n=0}
-192936	资政	65536	36164	3	{n=0}
-192937	特警	65536	29305	3	{n=0}
-192938	百科	116553	30334	1	null
-192940	清炒	96337	28165	1	null
-192942	私有	119329	31169	2	{v=0, vn=8}
-192943	禁锢	65536	31105	3	{v=1, vn=0}
-192944	清炖	65536	28165	3	{v=0}
-192945	衣架	65536	34915	3	{n=0}
-192950	财气	65536	36130	3	{n=0}
-192951	水系	65536	27700	3	{n=4}
-192953	阳关	139249	38451	2	{ns=0}
-192955	蒙罗	117838	33945	1	null
-192956	顾虑	127449	39038	2	{n=3, ns=0, v=0, vn=0}
-192958	眼皮	110641	30524	2	{n=2}
-192963	海珍	108355	28023	1	null
-192966	竹溪	120199	31481	2	{ns=0}
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-192970	穷竭	116586	31351	1	null
-192975	科班	119553	31185	2	{n=3}
-192977	空儿	65536	31354	3	{n=3}
-192979	清点	65536	28165	3	{v=0, vn=0}
-192983	衣柜	65536	34915	3	{n=0}
-192984	运筹	133938	36816	2	{v=2, vn=1}
-192995	皮纸	65536	30382	3	{n=0}
-193004	球风	65536	29699	3	{n=0}
-193014	运算	135225	36816	2	{v=0, vn=0}
-193015	立据	65536	31435	3	{vn=0}
-193019	特许	107514	29305	2	{v=7, vn=1}
-193022	眼目	65536	30524	3	{n=4}
-193024	运管	65536	36816	3	{j=0}
-193025	特设	65536	29305	3	{v=0, vn=0}
-193026	资料	131530	36164	2	{n=98}
-193049	眼眉	65536	30524	3	{n=0}
-193050	生态	115511	29983	2	{n=75, vn=1}
-193051	眼看	65536	30524	3	{d=3, v=4}
-193053	细发	65536	32454	3	{a=0}
-193055	脱出	117032	33073	2	{v=0, vn=0}
-193058	资方	65536	36164	3	{n=0}
-193061	积累	65536	31215	3	{n=15, v=43, vn=12}
-193062	迎风	65536	36814	3	{v=4, vd=0}
-193064	齿音	65536	40831	3	{n=0}
-193065	牛顿	65536	29275	3	{nr=0, q=0}
-193066	电工	112617	30005	2	{n=18}
-193069	空军	65536	31354	3	{n=55}
-193070	生怕	65536	29983	3	{v=5}
-193078	耳房	65536	32819	3	{n=0}
-193083	编制	118535	32534	2	{n=11, v=6, vn=6}
-193085	绝口	65536	32477	3	{d=0}
-193087	绝句	65536	32477	3	{n=0}
-193088	生性	65536	29983	3	{n=2}
-193093	眼眵	65536	30524	3	{n=0}
-193094	眼眶	65536	30524	3	{n=5}
-193096	眼眸	65536	30524	3	{n=0}
-193097	真果	65536	30495	3	{n=0}
-193098	胡涂	65536	32993	3	{a=0}
-193099	独白	65536	29420	3	{n=0}
-193103	病株	65536	30149	3	{n=0}
-193105	眼睁	108087	30524	1	null
-193106	矿种	65536	30719	3	{n=3}
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-193116	深远	65536	28145	3	{a=20, an=0}
-193117	留神	65536	30041	3	{v=1}
-193118	病根	65536	30149	3	{n=3}
-193120	阳刚	142032	38451	2	{a=0}
-193121	眼睑	65536	30524	3	{n=0}
-193124	正面	105958	27491	2	{a=0, b=6, d=7, f=0, n=4, s=0}
-193125	角质	65536	35282	3	{n=0}
-193128	绝后	65536	32477	3	{v=0}
-193129	生恐	65536	29983	3	{v=0}
-193131	眼睛	65536	30524	3	{n=44}
-193132	编剧	65536	32534	3	{n=10, v=3, vn=0}
-193133	病案	65536	30149	3	{n=0}
-193134	沙门	100593	27801	2	{n=0}
-193138	火球	65536	28779	3	{n=0}
-193145	石塔	65536	30707	3	{n=0}
-193146	禁闭	116756	31105	2	{v=0}
-193147	眼睫	111009	30524	1	null
-193148	经济社	65536	198474	3	{n=1}
-193155	离石	116246	31163	2	{ns=2}
-193156	省立	65536	30465	3	{b=0}
-193157	边区	65536	36793	3	{n=0, s=9}
-193160	生息	65536	29983	3	{v=2}
-193162	有门	101808	26377	1	null
-193167	深透	65536	28145	3	{a=0}
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-193181	鼻化	147815	40763	1	null
-193184	深造	65536	28145	3	{v=2, vn=0}
-193188	球馆	65536	29699	3	{n=0}
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-193196	边卡	65536	36793	3	{n=0}
-193199	结儿	65536	32467	3	{n=4}
-193200	英军	65536	33521	3	{j=2}
-193201	负载	65536	36127	3	{n=0, v=1, vn=0}
-193203	相去	108216	30456	1	null
-193206	菜子	122102	33756	2	{n=1}
-193208	电平	65536	30005	3	{n=0}
-193211	造化	65536	36896	3	{n=0}
-193213	美国	125014	32654	2	{n=1, ns=1180}
-193214	石墙	65536	30707	3	{n=1}
-193221	相反	107743	30456	2	{d=0, v=28, vd=0, vn=1}
-193224	纸巾	65536	32440	3	{n=0}
-193226	结党	110086	32467	1	null
-193227	纸币	65536	32440	3	{n=3}
-193229	石墨	65536	30707	3	{n=0}
-193230	石墩	65536	30707	3	{n=0}
-193232	钟祥	136188	38047	2	{ns=2}
-193235	跳皮	124333	36339	1	null
-193239	绝命	124008	32477	1	null
-193240	活龙	101557	27963	1	null
-193246	热科	94407	28909	1	null
-193247	空前	108659	31354	2	{a=7, ad=3, d=5, v=1}
-193254	石壁	65536	30707	3	{n=0}
-193257	真格	65536	30495	3	{n=1}
-193259	电度	101097	30005	1	null
-193263	白丁	65536	30333	3	{n=0}
-193264	纸带	117068	32440	2	{n=0}
-193266	有限	101765	26377	2	{a=62, ad=0, an=0}
-193267	笔直	65536	31508	3	{z=3}
-193269	正音	98254	27491	2	{n=0, v=0}
-193271	白三	115374	30333	1	null
-193273	背水	126731	32972	1	null
-193275	白不	115252	30333	1	null
-193277	藏药	65536	34255	3	{n=0}
-193281	白专	65536	30333	3	{n=0}
-193283	深邃	65536	28145	3	{a=5, an=2}
-193284	相同	65536	30456	3	{a=26, vn=0}
-193290	独眼	93468	29420	1	null
-193293	耳挖	122521	32819	1	null
-193301	直线	65536	30452	3	{d=3, n=8}
-193307	绝品	65536	32477	3	{n=0}
-193308	气量	65536	27668	3	{n=0}
-193311	等级	120897	31561	2	{n=22}
-193312	结冰	65536	32467	3	{v=1}
-193313	翻天	122543	32763	2	{v=0}
-193316	烟雨	65536	28895	3	{n=0}
-193317	管扳	118770	31649	1	null
-193318	钟离	65536	38047	3	{nr=0}
-193319	绝响	65536	32477	3	{n=0}
-193320	生意	115423	29983	2	{n=39}
-193333	直统	105667	30452	1	null
-193335	肥煤	65536	32933	3	{n=0}
-193338	烟雾	108407	28895	2	{n=5}
-193339	有隙	101125	26377	1	null
-193340	白乎	116835	30333	1	null
-193343	电建	65536	30005	3	{j=1}
-193348	罗威	65536	32599	3	{nz=0}
-193352	豆角	65536	35910	3	{n=2}
-193355	蒙胧	65536	33945	3	{a=0}
-193366	管护	65536	31649	3	{v=0}
-193367	清爽	108400	28165	2	{a=0, an=0}
-193369	石头	116668	30707	2	{n=8}
-193370	烟霞	65536	28895	3	{n=0}
-193374	水红	65536	27700	3	{b=0}
-193375	破瓦	115795	30772	1	null
-193379	险种	65536	38505	3	{n=1}
-193380	粗毛	112043	31895	1	null
-193383	硬是	65536	30828	3	{d=8}
-193384	深部	65536	28145	3	{n=1}
-193385	烟霭	65536	28895	3	{n=0}
-193386	结出	65536	32467	3	{v=0}
-193387	特质	65536	29305	3	{n=0}
-193388	电弧	107080	30005	2	{n=0}
-193390	管押	65536	31649	3	{v=0}
-193394	造反	130565	36896	2	{v=0}
-193397	编印	65536	32534	3	{v=2}
-193398	空勤	65536	31354	3	{n=0}
-193401	白事	65536	30333	3	{n=0}
-193403	水线	65536	27700	3	{n=1}
-193404	海疆	65536	28023	3	{n=0, s=0}
-193405	还款	65536	36824	3	{v=3, vn=0}
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-193570	粗沙	65536	31895	3	{n=4}
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-193613	深重	65536	28145	3	{a=5, an=0}
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-193653	空口	115068	31354	1	null
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-193670	货单	65536	36135	3	{n=0}
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-193714	白俄	104289	30333	1	null
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-193716	群舞	65536	32676	3	{n=0}
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-193722	虎林	128545	34382	2	{ns=0}
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-193725	用粮	65536	29992	3	{n=0}
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-193741	海盗	108570	28023	2	{n=0}
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-193748	科盲	65536	31185	3	{n=0}
-193749	磨蹭	65536	30952	3	{v=1}
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-193758	观赏	127906	35266	2	{v=16, vn=1}
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-193766	牛鬼	99137	29275	1	null
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-193775	虚伪	65536	34394	3	{a=0, an=0}
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-193789	肥猪	65536	32933	3	{n=3}
-193793	负重	65536	36127	3	{v=2, vd=1}
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-193808	群艺	105857	32676	1	null
-193810	虚位	130674	34394	1	null
-193814	脑浆	65536	33041	3	{n=0}
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-193824	清理	65536	28165	3	{v=50, vn=20}
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-193857	结发	121096	32467	1	null
-193859	羊有	108656	32650	1	null
-193863	脑海	65536	33041	3	{n=4}
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-193874	粉色	65536	31881	3	{n=2}
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-193881	美妙	65536	32654	3	{a=3, an=0}
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-193896	菜市	127604	33756	2	{n=0}
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-193900	禁食	110116	31105	2	{v=0}
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-193906	皮艇	65536	30382	3	{n=0}
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-193912	结合	122786	32467	2	{v=361, vn=35}
-193915	水肿	65536	27700	3	{n=2}
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-193921	粉芡	65536	31881	3	{n=0}
-193927	群英	124923	32676	2	{n=0}
-193930	绝地	65536	32477	3	{n=0}
-193934	独秀	114358	29420	1	null
-193935	病歪	109115	30149	1	null
-193936	田里	65536	30000	3	{s=3}
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-193938	田野	111777	30000	2	{n=14, nr=0}
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-193962	正骨	65536	27491	3	{v=0}
-193963	火眼	94952	28779	2	{n=0}
-193965	眼窝	65536	30524	3	{n=1}
-193968	病残	65536	30149	3	{n=1}
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-193977	水能	65536	27700	3	{n=0}
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-193983	豆豉	65536	35910	3	{n=0}
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-193992	舍间	65536	33293	3	{s=0}
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-194012	皮花	65536	30382	3	{n=0}
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-194021	铺叙	65536	38138	3	{v=1}
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-194060	虚假	65536	34394	3	{a=16, ad=2, an=3}
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-194066	神不	116567	31070	1	null
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-194095	皮茄	116784	30382	1	null
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-194112	精兵	118137	31934	2	{n=5, v=0}
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-194121	直至	65536	30452	3	{d=0, v=15}
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-194161	气锤	65536	27668	3	{n=0}
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-194207	附有	65536	38468	3	{v=3}
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-194222	白净	115978	30333	2	{a=0}
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-194290	沙马	65536	27801	3	{nr=0}
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-194299	精到	65536	31934	3	{a=0}
-194301	蒙蒙	130202	33945	2	{z=0}
-194305	精制	120832	31934	2	{v=1, vn=1}
-194306	钻门	137033	38075	1	null
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-194315	角野	65536	35282	3	{nr=0}
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-194335	节余	65536	33410	3	{n=0, v=0, vn=0}
-194336	火碱	65536	28779	3	{n=0}
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-194384	逃荒	65536	36867	3	{v=0}
-194385	笔筒	65536	31508	3	{n=0}
-194386	神位	65536	31070	3	{n=0}
-194387	笔答	65536	31508	3	{v=0}
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-194396	运能	65536	36816	3	{n=1}
-194398	绝处	107182	32477	1	null
-194401	生效	65536	29983	3	{v=9, vn=3}
-194406	精力	121725	31934	2	{n=48}
-194411	精加	118498	31934	1	null
-194413	水花	97613	27700	2	{n=8}
-194417	铅酸	65536	38085	3	{n=0}
-194419	细大	123642	32454	1	null
-194423	海禁	65536	28023	3	{n=0}
-194424	烟鬼	65536	28895	3	{n=0}
-194425	美容	121012	32654	2	{v=2, vn=4}
-194426	私法	65536	31169	3	{n=0}
-194431	笔简	116869	31508	1	null
-194433	绝大	121275	32477	1	null
-194441	清癯	65536	28165	3	{a=0}
-194447	维系	65536	32500	3	{v=5}
-194452	脱坯	65536	33073	3	{v=0}
-194454	笔算	65536	31508	3	{v=0}
-194455	清白	65536	28165	3	{a=2, ad=0, an=1}
-194456	粉蒸	109484	31881	1	null
-194457	盘面	65536	30424	3	{n=3}
-194464	透视	136000	36879	2	{v=4, vd=0, vn=0}
-194465	蒙蔽	65536	33945	3	{v=0, vn=0}
-194470	留级	65536	30041	3	{v=0, vn=0}
-194472	紫玉	111019	32043	1	null
-194473	边塞	65536	36793	3	{n=0}
-194480	阳坪	65536	38451	3	{ns=0}
-194482	生料	65536	29983	3	{n=0}
-194483	节俭	65536	33410	3	{a=7, ad=3, an=0}
-194485	罗干	65536	32599	3	{nr=33}
-194486	海秀	93735	28023	1	null
-194494	油豆	95429	27833	1	null
-194498	空地	117603	31354	2	{n=2}
-194503	罗庄	124733	32599	1	null
-194507	阵阵	65536	38453	3	{m=0, q=20}
-194508	热线	65536	28909	3	{n=12}
-194510	边境	125750	36793	2	{n=0, s=27}
-194516	美尔	122029	32654	1	null
-194518	跳箱	65536	36339	3	{n=0}
-194520	留给	65536	30041	3	{v=15}
-194522	百老	109679	30334	1	null
-194526	有鬼	65536	26377	3	{v=0}
-194536	相声	65536	30456	3	{n=3}
-194537	热络	65536	28909	3	{v=1, vn=0}
-194540	电控	109441	30005	2	{vn=0}
-194541	电推	112654	30005	1	null
-194542	靠边	143466	38752	2	{v=1, vd=0}
-194546	清盘	65536	28165	3	{v=4, vn=2}
-194547	绝妙	65536	32477	3	{a=0, b=3}
-194549	聚歼	65536	32858	3	{v=0}
-194550	绿孔	105795	32511	1	null
-194553	肥瘦	65536	32933	3	{n=1}
-194556	相处	65536	30456	3	{v=7, vn=1}
-194558	生日	114249	29983	2	{n=22}
-194559	深长	65536	28145	3	{a=0, ad=0}
-194562	管材	65536	31649	3	{n=4}
-194564	白化	106762	30333	1	null
-194565	水草	65536	27700	3	{n=3}
-194566	靠近	65536	38752	3	{v=9}
-194570	石工	65536	30707	3	{n=0}
-194571	财物	65536	36130	3	{j=0, n=8}
-194573	节假	122325	33410	1	null
-194574	水荒	65536	27700	3	{n=0}
-194575	特里	110382	29305	1	null
-194576	特重	65536	29305	3	{a=0}
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-194578	英国	124788	33521	2	{ns=278}
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-194581	美展	65536	32654	3	{j=1}
-194584	白匪	65536	30333	3	{n=0}
-194585	精华	65536	31934	3	{n=15, nr=0}
-194592	评为	65536	35780	3	{v=42}
-194598	画皮	65536	30011	3	{n=0}
-194600	白区	65536	30333	3	{n=0}
-194608	耳根	117742	32819	2	{n=1}
-194612	经常	122533	32463	2	{a=0, b=21, d=100}
-194613	玉音	65536	29577	3	{n=0}
-194614	精卫	119901	31934	1	null
-194617	清真	107237	28165	2	{b=2}
-194619	谷雨	65536	35895	3	{t=0}
-194620	火种	111303	28779	2	{n=3}
-194623	绿宝	113681	32511	2	{nz=0}
-194625	震波	65536	38663	3	{n=0}
-194629	纸捻	65536	32440	3	{n=0}
-194635	气雾	106212	27668	1	null
-194636	评书	65536	35780	3	{n=8, v=0}
-194639	问候	138813	38382	2	{v=7, vn=75}
-194642	钻霸	65536	38075	3	{nz=0}
-194644	齿鸟	136835	40831	1	null
-194645	肥皂	118669	32933	2	{n=1}
-194646	达观	65536	36798	3	{a=1, ad=0, an=0}
-194649	肉排	65536	32905	3	{n=0}
-194653	经幡	65536	32463	3	{n=0}
-194654	脑炎	65536	33041	3	{n=0}
-194656	空城	105408	31354	1	null
-194661	白卷	65536	30333	3	{n=1}
-194667	货场	65536	36135	3	{n=4}
-194669	深闭	108305	28145	1	null
-194670	牛黄	65536	29275	3	{n=0}
-194672	经年	111752	32463	1	null
-194673	空域	65536	31354	3	{n=2}
-194675	白厅	65536	30333	3	{n=0}
-194677	相好	65536	30456	3	{n=0}
-194682	深闺	65536	28145	3	{n=0}
-194685	逐笔	65536	36880	3	{d=1, vd=0}
-194686	阵雨	65536	38453	3	{n=1}
-194688	阵雪	65536	38453	3	{n=0}
-194689	画眉	65536	30011	3	{n=1}
-194691	适配	136035	36866	1	null
-194696	隔膜	65536	38548	3	{a=0, n=0, v=0}
-194698	简要	65536	31616	3	{a=0, ad=1, n=0}
-194699	鹿蹄	134183	40575	1	null
-194705	震洲	65536	38663	3	{nz=0}
-194707	直落	65536	30452	3	{v=2}
-194712	聚氟	126127	32858	1	null
-194717	资水	65536	36164	3	{ns=0}
-194721	聚氨	108965	32858	1	null
-194722	经度	65536	32463	3	{n=0}
-194728	聚氯	126143	32858	1	null
-194729	陈旧	65536	38472	3	{a=26, an=1}
-194732	逆来	119152	36870	1	null
-194735	米酒	65536	31859	3	{n=1}
-194737	评介	65536	35780	3	{v=1, vn=0}
-194741	病源	65536	30149	3	{n=0}
-194744	牛鼎	104723	29275	1	null
-194745	管标	114317	31649	2	{v=0}
-194747	鼻头	65536	40763	3	{n=0}
-194751	白发	116758	30333	2	{n=4}
-194754	赛车	132682	36187	2	{n=0, v=0, vn=0}
-194759	结块	65536	32467	3	{v=0}
-194760	资江	133451	36164	2	{ns=0}
-194761	水萍	65536	27700	3	{n=0}
-194765	白叟	96274	30333	1	null
-194769	白口	98844	30333	1	null
-194772	神像	65536	31070	3	{n=5}
-194774	肉搏	121226	32905	2	{v=0}
-194777	水萝	106257	27700	1	null
-194778	罗得	121096	32599	1	null
-194781	评价	65536	35780	3	{v=62, vn=34}
-194789	牛鼻	110272	29275	1	null
-194792	米醋	65536	31859	3	{n=0}
-194801	白吃	65536	30333	3	{v=0}
-194807	深陷	65536	28145	3	{v=1}
-194808	翻开	65536	32763	3	{v=12}
-194809	水落	96900	27700	1	null
-194812	胡琴	65536	32993	3	{n=0}
-194818	沙鱼	65536	27801	3	{n=0}
-194820	镇区	65536	38215	3	{n=20, s=0}
-194821	适量	65536	36866	3	{a=0, ad=1}
-194822	评传	65536	35780	3	{n=0}
-194825	简言	122043	31616	1	null
-194834	聚沙	121103	32858	1	null
-194835	绿山	120889	32511	1	null
-194838	评估	133044	35780	2	{v=9, vn=24}
-194839	群蚁	106703	32676	1	null
-194840	脱壳	120763	33073	1	null
-194843	编外	65536	32534	3	{b=2, n=1}
-194844	贵省	65536	36149	3	{r=1}
-194849	玉食	96520	29577	1	null
-194852	资治	118060	36164	1	null
-194855	水葫	94162	27700	1	null
-194860	脚尖	65536	33050	3	{n=0}
-194861	水葱	65536	27700	3	{n=0}
-194862	陆续	65536	38470	3	{d=49}
-194869	细嫩	65536	32454	3	{a=1}
-194871	虎气	65536	34382	3	{n=0}
-194882	气韵	65536	27668	3	{n=3}
-194887	维纳	118299	32500	1	null
-194890	维纶	65536	32500	3	{n=0}
-194891	留职	65536	30041	3	{v=0}
-194892	硬气	65536	30828	3	{a=0}
-194893	翻录	65536	32763	3	{v=0}
-194899	生机	114417	29983	2	{n=25, vn=1}
-194901	镇压	65536	38215	3	{v=0, vn=0}
-194905	生杀	115502	29983	1	null
-194909	群蛇	65536	32676	3	{n=0}
-194911	离经	118861	31163	1	null
-194915	真溶	110423	30495	1	null
-194919	油路	65536	27833	3	{n=1}
-194924	硬水	65536	30828	3	{n=0}
-194927	舞艺	65536	33310	3	{n=0}
-194930	破竹	119269	30772	1	null
-194932	水蒸	99943	27700	1	null
-194938	神兵	117195	31070	1	null
-194939	维继	65536	32500	3	{v=1}
-194942	生来	65536	29983	3	{b=0, d=2}
-194943	苏木	65536	33487	3	{n=0, ns=1}
-194945	硬汉	65536	30828	3	{n=0}
-194949	空壳	65536	31354	3	{n=2}
-194951	矿脂	65536	30719	3	{n=0}
-194952	维维	65536	32500	3	{nz=0}
-194954	视野	65536	35270	3	{n=21}
-194956	精品	121274	31934	2	{n=67}
-194958	矿脉	65536	30719	3	{n=0}
-194959	阳奉	123627	38451	1	null
-194963	经得	123504	32463	1	null
-194965	节减	65536	33410	3	{v=0}
-194967	镇反	65536	38215	3	{j=0}
-194974	电教	106780	30005	2	{n=0}
-194977	神农	113482	31070	1	null
-194980	胡瓜	65536	32993	3	{n=0}
-194981	美工	65536	32654	3	{n=2}
-194985	石径	65536	30707	3	{n=1}
-194989	热肠	112753	28909	1	null
-194990	美差	65536	32654	3	{n=0}
-194991	赛道	65536	36187	3	{n=0}
-194994	眼红	65536	30524	3	{v=1}
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-194999	铺垫	65536	38138	3	{n=1, v=0, vn=1}
-195000	田间	104168	30000	2	{f=0, n=1, nr=0, s=3}
-195001	负隅	115379	36127	1	null
-195002	积蓄	65536	31215	3	{n=6, v=1, vn=1}
-195003	空天	102022	31354	1	null
-195005	齿龈	139894	40831	2	{n=0}
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-195008	绝学	65536	32477	3	{n=0}
-195010	用膳	65536	29992	3	{v=0}
-195011	穷苦	65536	31351	3	{a=0}
-195014	空头	115257	31354	2	{b=0}
-195020	电文	65536	30005	3	{n=3}
-195021	热胀	111989	28909	1	null
-195023	眼线	65536	30524	3	{n=0}
-195024	盘香	65536	30424	3	{n=0}
-195026	虚名	65536	34394	3	{n=4}
-195033	编委	124258	32534	2	{n=0}
-195038	电料	65536	30005	3	{n=0}
-195039	角钢	65536	35282	3	{n=0}
-195044	语塞	65536	35821	3	{v=0}
-195045	百舌	96921	30334	1	null
-195046	火筷	108924	28779	1	null
-195052	立正	65536	31435	3	{v=0}
-195053	立此	118062	31435	1	null
-195055	震源	65536	38663	3	{n=0}
-195061	白唇	96351	30333	1	null
-195062	皮蛋	65536	30382	3	{n=0}
-195063	田阳	114380	30000	1	null
-195068	节制	123797	33410	2	{v=0, vn=3}
-195070	角铁	65536	35282	3	{n=0}
-195071	神出	100286	31070	1	null
-195077	百般	116408	30334	2	{d=0}
-195081	语境	65536	35821	3	{n=1}
-195082	热能	65536	28909	3	{n=0}
-195089	百舸	117300	30334	1	null
-195090	细密	65536	32454	3	{a=1}
-195091	节前	65536	33410	3	{f=1, t=12}
-195093	羊毛	114896	32650	2	{n=1}
-195100	火箭	108145	28779	2	{n=40}
-195104	绝密	65536	32477	3	{b=0}
-195105	谷风	65536	35895	3	{nz=0}
-195109	羊毫	65536	32650	3	{n=0}
-195112	肥硕	65536	32933	3	{a=0}
-195120	磁谱	119540	30913	1	null
-195124	离群	108296	31163	1	null
-195126	讲解	131520	35762	2	{v=9, vn=3}
-195131	荒郊	65536	33618	3	{n=0}
-195136	粗犷	65536	31895	3	{a=5, an=1}
-195147	百色	113347	30334	2	{ns=2}
-195148	线麻	65536	32447	3	{n=0}
-195150	采买	65536	37319	3	{v=0}
-195153	网眼	65536	32593	3	{n=1}
-195154	生根	65536	29983	3	{v=4}
-195155	绝对	123990	32477	2	{a=14, d=31}
-195158	粉蝶	65536	31881	3	{n=0}
-195162	资深	65536	36164	3	{b=4}
-195163	细小	65536	32454	3	{a=0}
-195170	空姐	65536	31354	3	{n=4}
-195171	露水	65536	38706	3	{n=1}
-195172	阵风	65536	38453	3	{n=0}
-195177	海米	65536	28023	3	{n=0}
-195179	绝少	65536	32477	3	{d=2}
-195182	羊水	65536	32650	3	{n=0}
-195186	险胜	65536	38505	3	{v=5}
-195190	语声	65536	35821	3	{n=0}
-195191	白喉	65536	30333	3	{n=0}
-195193	眼罩	65536	30524	3	{n=0}
-195195	紫癜	65536	32043	3	{n=0}
-195197	镇咳	140081	38215	1	null
-195201	相安	112125	30456	1	null
-195204	运营	65536	36816	3	{v=14, vn=16}
-195210	百花	117416	30334	2	{n=4, nz=2}
-195211	热腾	99763	28909	1	null
-195212	翻悔	65536	32763	3	{v=0}
-195219	苏格	128059	33487	1	null
-195220	相宜	65536	30456	3	{a=1}
-195222	负面	65536	36127	3	{b=16, n=0}
-195226	电晕	65536	30005	3	{n=0}
-195227	病灶	65536	30149	3	{n=1}
-195232	神力	65536	31070	3	{n=0}
-195236	神功	65536	31070	3	{n=5}
-195239	沙鸡	65536	27801	3	{n=0}
-195241	清福	65536	28165	3	{n=1}
-195243	沙鸥	65536	27801	3	{n=0}
-195249	相容	65536	30456	3	{v=2}
-195253	热膨	99954	28909	1	null
-195255	水藻	65536	27700	3	{n=0}
-195256	简讯	65536	31616	3	{n=0}
-195257	简记	65536	31616	3	{n=0}
-195258	铅铁	65536	38085	3	{n=0}
-195260	论黄	127215	35770	1	null
-195268	陶铸	65536	38518	3	{nr=12, v=0}
-195275	背理	65536	32972	3	{v=0}
-195276	跳级	65536	36339	3	{v=0}
-195277	简评	65536	31616	3	{v=0}
-195278	气馁	65536	27668	3	{a=5, an=0}
-195287	鼻子	65536	40763	3	{n=3}
-195288	鹿邑	146355	40575	2	{ns=0}
-195290	清秀	65536	28165	3	{a=2}
-195291	鼻孔	65536	40763	3	{n=0}
-195292	离职	65536	31163	3	{v=0}
-195295	绿帽	121018	32511	1	null
-195297	赶排	65536	36214	3	{v=2}
-195299	短片	65536	30701	3	{n=1}
-195300	降临	65536	38477	3	{v=15, vn=3}
-195301	特钢	65536	29305	3	{n=2}
-195302	油轮	65536	27833	3	{n=1}
-195303	豆酱	65536	35910	3	{n=0}
-195306	玉骨	113797	29577	1	null
-195310	采伐	65536	37319	3	{v=4, vn=2}
-195313	相对	118958	30456	2	{b=4, d=57, v=8, vd=1, vn=0}
-195315	羊油	65536	32650	3	{n=1}
-195321	资源	132596	36164	2	{n=288, nz=0}
-195332	科索	112765	31185	1	null
-195338	陈案	65536	38472	3	{n=1}
-195339	经意	65536	32463	3	{a=0}
-195344	粗率	65536	31895	3	{a=0}
-195347	资溪	133524	36164	2	{ns=0}
-195348	英姿	127968	33521	2	{n=3}
-195350	队部	65536	38431	3	{n=0}
-195352	跳绳	65536	36339	3	{v=0}
-195353	简谐	105276	31616	1	null
-195355	神化	65536	31070	3	{v=2, vn=1}
-195357	铅锤	65536	38085	3	{n=0}
-195361	考级	65536	32771	3	{v=2, vn=0}
-195362	造孽	65536	36896	3	{v=0}
-195364	考纪	65536	32771	3	{n=0}
-195365	角门	65536	35282	3	{ns=0}
-195367	角闪	121889	35282	1	null
-195373	水虱	65536	27700	3	{n=0}
-195374	评先	126589	35780	1	null
-195379	边寨	65536	36793	3	{n=3}
-195381	铺天	130424	38138	1	null
-195386	简谱	65536	31616	3	{n=0}
-195387	水虿	65536	27700	3	{n=0}
-195391	荒野	65536	33618	3	{n=1}
-195392	神医	65536	31070	3	{n=0}
-195394	荒金	65536	33618	3	{nr=0}
-195400	间隔	65536	38388	3	{n=9, v=0, vd=0}
-195405	间隙	65536	38388	3	{n=8}
-195411	神华	65536	31070	3	{nz=0}
-195416	部里	65536	37096	3	{n=0}
-195417	清稿	65536	28165	3	{n=0}
-195418	语委	65536	35821	3	{j=1}
-195422	立法	121214	31435	2	{v=9, vn=19}
-195424	水蚤	65536	27700	3	{n=0}
-195427	考绩	65536	32771	3	{v=0}
-195437	电木	65536	30005	3	{n=0}
-195439	经济舱	65536	198474	3	{n=1}
-195440	齐白	137983	40784	1	null
-195441	油迹	65536	27833	3	{n=0}
-195447	美德	65536	32654	3	{n=18}
-195451	藏语	124735	34255	2	{nz=0}
-195454	用药	65536	29992	3	{n=4, vn=0}
-195455	电机	65536	30005	3	{n=7}
-195459	水蛇	94476	27700	2	{n=0}
-195466	罗扇	65536	32599	3	{n=0}
-195467	电杆	65536	30005	3	{n=1}
-195470	皮衣	65536	30382	3	{n=1}
-195477	精囊	113725	31934	2	{n=0}
-195485	鼻尖	65536	40763	3	{n=0}
-195494	编审	65536	32534	3	{n=1, v=1, vn=0}
-195495	降价	123654	38477	2	{v=9, vd=1, vn=10}
-195497	水蛭	65536	27700	3	{n=0}
-195499	脚底	120668	33050	2	{n=1}
-195501	问卷	125739	38382	2	{n=4, v=0}
-195503	皮袄	65536	30382	3	{n=2}
-195504	菜摊	65536	33756	3	{n=0}
-195510	皮袋	65536	30382	3	{n=0}
-195511	画稿	65536	30011	3	{n=0}
-195512	皮袍	65536	30382	3	{n=0}
-195519	降伏	65536	38477	3	{v=0}
-195522	特长	103973	29305	2	{n=9}
-195526	电极	65536	30005	3	{n=0}
-195530	结婚	114905	32467	2	{v=20, vn=5}
-195540	节后	65536	33410	3	{t=2}
-195542	造就	65536	36896	3	{n=0, v=25, vn=0}
-195544	水蜜	100922	27700	1	null
-195549	震灾	65536	38663	3	{n=8}
-195552	评出	65536	35780	3	{v=1}
-195554	空子	65536	31354	3	{n=2}
-195559	电枢	65536	30005	3	{n=0}
-195561	空字	109641	31354	1	null
-195562	达赖	135223	36798	2	{n=0}
-195563	落下	65536	33853	3	{v=0}
-195564	评分	65536	35780	3	{v=2, vn=2}
-195566	磁路	65536	30913	3	{n=0}
-195570	肉末	65536	32905	3	{n=0}
-195573	神台	65536	31070	3	{n=0}
-195574	阻隔	65536	38459	3	{v=3, vn=0}
-195578	队里	65536	38431	3	{n=0}
-195582	降低	65536	38477	3	{v=101, vn=1}
-195584	问及	65536	38382	3	{v=5}
-195585	编导	121038	32534	2	{n=20, v=0, vn=0}
-195588	笔者	65536	31508	3	{n=57}
-195589	讲讲	65536	35762	3	{v=2}
-195590	角雉	65536	35282	3	{n=0}
-195594	评判	65536	35780	3	{v=5, vn=1}
-195597	讲论	65536	35762	3	{v=0}
-195600	逐级	65536	36880	3	{d=6}
-195602	紫石	109359	32043	1	null
-195603	绿影	119190	32511	1	null
-195604	笔耕	121741	31508	2	{v=1, vn=0}
-195605	鹿野	65536	40575	3	{nr=0}
-195606	造山	121718	36896	1	null
-195607	讲评	65536	35762	3	{v=0, vn=0}
-195611	问句	65536	38382	3	{n=0}
-195614	白地	65536	30333	3	{n=1}
-195615	沙龙	65536	27801	3	{n=11, nr=2}
-195617	紫砂	120111	32043	2	{n=2}
-195618	独联	114030	29420	1	null
-195625	细川	65536	32454	3	{nr=2}
-195627	纸条	65536	32440	3	{n=4}
-195629	问号	65536	38382	3	{n=4}
-195632	讲话	121819	35762	2	{n=168, v=55, vn=10}
-195633	细工	65536	32454	3	{n=0}
-195635	细巧	65536	32454	3	{a=0}
-195636	空客	65536	31354	3	{j=0}
-195638	适销	134612	36866	2	{vn=0}
-195641	纸杯	65536	32440	3	{n=0}
-195649	水螅	65536	27700	3	{n=0}
-195650	衣片	65536	34915	3	{n=2}
-195651	热茶	65536	28909	3	{n=1}
-195653	肉松	65536	32905	3	{n=0}
-195655	经手	123655	32463	2	{v=2}
-195657	纸板	111832	32440	2	{n=0}
-195661	评剧	65536	35780	3	{n=3}
-195663	细布	65536	32454	3	{n=0}
-195664	皮褥	114222	30382	1	null
-195665	讲课	65536	35762	3	{v=8, vn=0}
-195683	肉果	65536	32905	3	{n=0}
-195684	衣物	65536	34915	3	{n=8}
-195685	油郭	108472	27833	1	null
-195691	陆航	140482	38470	1	null
-195701	落井	130154	33853	1	null
-195706	生橡	102595	29983	1	null
-195710	附注	65536	38468	3	{n=0}
-195714	跑码	132933	36305	1	null
-195717	评功	117469	35780	2	{v=1, vn=0}
-195718	节哀	65536	33410	3	{v=0}
-195721	科级	65536	31185	3	{b=8}
-195723	空对	109818	31354	1	null
-195724	画笔	65536	30011	3	{n=0}
-195729	气魄	65536	27668	3	{n=4}
-195733	科纳	119741	31185	1	null
-195734	群言	122644	32676	1	null
-195735	白垩	104501	30333	2	{n=0}
-195754	电桥	65536	30005	3	{n=0}
-195756	脑瓜	126343	33041	2	{n=0}
-195760	陆良	65536	38470	3	{ns=0}
-195761	清算	65536	28165	3	{v=3, vn=8}
-195771	饭来	141255	39277	1	null
-195772	白城	112862	30333	2	{ns=0}
-195776	结子	65536	32467	3	{n=0}
-195782	神品	65536	31070	3	{n=0}
-195784	结存	65536	32467	3	{n=0}
-195791	美意	65536	32654	3	{n=1}
-195798	词不	116515	35789	1	null
-195799	落价	65536	33853	3	{v=1}
-195801	脚心	65536	33050	3	{n=0}
-195803	病状	65536	30149	3	{n=0}
-195805	油酥	65536	27833	3	{b=0}
-195806	相左	65536	30456	3	{v=2}
-195807	美感	65536	32654	3	{n=2}
-195814	相差	112138	30456	2	{v=8}
-195816	独脚	109235	29420	1	null
-195817	试制	131657	35797	2	{v=1, vn=1}
-195818	石担	65536	30707	3	{n=0}
-195819	海绵	107634	28023	2	{n=0}
-195821	落伍	65536	33853	3	{v=4}
-195822	粗略	65536	31895	3	{a=1, ad=3}
-195824	油酸	65536	27833	3	{n=0}
-195828	电梯	65536	30005	3	{n=17}
-195829	试剂	65536	35797	3	{n=0}
-195835	词串	65536	35789	3	{n=0}
-195838	肉样	65536	32905	3	{n=1}
-195841	纸样	65536	32440	3	{n=0}
-195845	脑电	124863	33041	1	null
-195847	言犹	130462	35328	1	null
-195849	肉桂	65536	32905	3	{n=0}
-195853	英寸	65536	33521	3	{q=7}
-195854	结实	114362	32467	2	{a=4}
-195857	火红	65536	28779	3	{z=5}
-195858	词义	65536	35789	3	{n=0}
-195862	石拱	112307	30707	2	{n=1}
-195863	电棒	65536	30005	3	{n=0}
-195864	粗疏	65536	31895	3	{a=0}
-195866	要不	132270	35201	2	{c=4}
-195871	破约	65536	30772	3	{v=0}
-195876	水表	65536	27700	3	{n=0}
-195878	磨难	65536	30952	3	{n=5}
-195879	采光	65536	37319	3	{v=1, vn=0}
-195881	空岗	65536	31354	3	{n=0}
-195886	火线	65536	28779	3	{n=0}
-195891	落体	65536	33853	3	{n=0}
-195896	赶早	65536	36214	3	{v=0}
-195897	科罗	116992	31185	1	null
-195903	跳脚	65536	36339	3	{v=0}
-195906	白塔	113268	30333	2	{n=0, nz=1}
-195907	特需	112263	29305	2	{vn=1}
-195909	赶时	115689	36214	1	null
-195910	直裰	65536	30452	3	{n=0}
-195914	电椅	65536	30005	3	{n=0}
-195919	英尺	65536	33521	3	{q=6}
-195921	试办	65536	35797	3	{v=1}
-195922	水袖	65536	27700	3	{n=0}
-195924	诗思	65536	35799	3	{n=1}
-195925	要么	65536	35201	3	{c=21}
-195926	要义	65536	35201	3	{n=6}
-195932	铺子	65536	38138	3	{n=1}
-195933	赶明	134545	36214	1	null
-195938	火绳	65536	28779	3	{n=0}
-195945	结对	111088	32467	2	{v=13, vn=0}
-195946	相干	65536	30456	3	{v=0}
-195955	磁轴	65536	30913	3	{n=0}
-195958	破绽	108983	30772	2	{n=1}
-195959	采写	65536	37319	3	{v=4, vn=0}
-195961	透辟	65536	36879	3	{a=0}
-195963	逆水	123296	36870	2	{v=0}
-195965	细弱	65536	32454	3	{a=0}
-195970	眼色	65536	30524	3	{n=1}
-195971	词人	65536	35789	3	{n=0}
-195974	英山	127702	33521	2	{ns=0}
-195980	相应	65536	30456	3	{d=1, v=57, vd=4, vn=7}
-195988	生死	115719	29983	2	{n=4, v=0}
-195992	要事	65536	35201	3	{n=0}
-195999	聚焦	65536	32858	3	{v=7, vn=1}
-196000	紫禁	120430	32043	1	null
-196001	透过	65536	36879	3	{v=15}
-196002	饭桌	65536	39277	3	{n=6}
-196012	罗摩	109912	32599	1	null
-196013	词令	65536	35789	3	{n=0}
-196014	结尾	65536	32467	3	{n=1, v=1}
-196015	生殖	113510	29983	2	{vn=2}
-196016	结局	65536	32467	3	{n=9}
-196017	绿意	65536	32511	3	{n=3}
-196024	独自	65536	29420	3	{d=8}
-196025	精壮	65536	31934	3	{a=0}
-196031	火罐	65536	28779	3	{n=0}
-196032	火网	65536	28779	3	{n=0}
-196033	眼花	106076	30524	2	{v=0}
-196036	视阈	65536	35270	3	{n=0}
-196038	雷公	139880	38647	2	{n=0}
-196039	要人	65536	35201	3	{n=0, v=0}
-196041	破罐	115950	30772	1	null
-196044	饭桶	65536	39277	3	{n=0}
-196069	科考	102129	31185	2	{j=4}
-196070	生母	65536	29983	3	{n=0}
-196076	独舞	65536	29420	3	{n=1}
-196078	网站	65536	32593	3	{n=2}
-196080	经援	65536	32463	3	{j=1, vn=1}
-196083	笔致	65536	31508	3	{n=0}
-196084	脑瘤	65536	33041	3	{n=0}
-196090	细微	120843	32454	2	{a=5}
-196091	脑瘫	65536	33041	3	{n=2}
-196092	诗情	123406	35799	2	{n=0}
-196099	要件	65536	35201	3	{n=0}
-196100	要价	65536	35201	3	{v=3, vn=0}
-196101	背着	65536	32972	3	{v=6}
-196104	磁选	111883	30913	1	null
-196111	细心	65536	32454	3	{a=6, ad=3, an=0, d=0}
-196115	联交	120911	32852	1	null
-196116	采制	65536	37319	3	{v=0, vn=0}
-196117	白大	101862	30333	1	null
-196118	联产	120852	32852	1	null
-196119	白天	96421	30333	2	{t=15}
-196120	直观	115883	30452	2	{a=8, ad=1, an=1, v=0}
-196121	磁通	102419	30913	1	null
-196123	竹竿	65536	31481	3	{n=2}
-196124	直视	65536	30452	3	{v=1, vn=0}
-196127	直觉	118127	30452	2	{n=1}
-196130	白头	116384	30333	1	null
-196133	词作	129843	35789	1	null
-196135	竹笋	65536	31481	3	{n=0}
-196136	直角	115810	30452	2	{n=0}
-196138	试卷	65536	35797	3	{n=2}
-196139	病理	113217	30149	2	{n=1}
-196141	生气	114438	29983	2	{a=3, an=0, n=5, v=0}
-196153	藏身	65536	34255	3	{v=2, vn=1}
-196157	铺就	65536	38138	3	{v=0}
-196163	跳舞	65536	36339	3	{v=1, vn=0}
-196166	诗意	65536	35799	3	{n=3}
-196168	蓝靛	65536	34013	3	{n=1}
-196170	等角	109442	31561	2	{n=0}
-196171	相当	118114	30456	2	{b=0, d=85, v=50, vn=8}
-196173	生水	65536	29983	3	{n=0}
-196177	蒙语	65536	33945	3	{nz=0}
-196178	磁道	65536	30913	3	{n=0}
-196180	矿藏	65536	30719	3	{n=7}
-196181	雷击	65536	38647	3	{v=1, vn=0}
-196182	直言	118177	30452	2	{v=2, vd=0, vn=0}
-196184	竹笼	65536	31481	3	{n=0}
-196186	相形	118194	30456	1	null
-196193	铺展	65536	38138	3	{v=0}
-196194	脱帽	65536	33073	3	{v=0}
-196196	精妙	65536	31934	3	{a=1, an=0}
-196197	那不	137722	37027	1	null
-196203	竹筏	65536	31481	3	{n=0}
-196204	竹筐	65536	31481	3	{n=0}
-196206	竹筒	65536	31481	3	{n=0}
-196214	紫穗	115828	32043	1	null
-196217	编年	124212	32534	2	{b=0}
-196220	采办	65536	37319	3	{v=0}
-196221	相待	65536	30456	3	{v=0}
-196223	眼药	65536	30524	3	{n=1}
-196226	那个	65536	37027	3	{r=42}
-196232	逆流	65536	36870	3	{n=1, v=0}
-196233	联会	65536	32852	3	{n=2}
-196236	跑程	65536	36305	3	{n=0}
-196237	真珠	65536	30495	3	{n=0}
-196239	相得	107823	30456	1	null
-196250	竹签	65536	31481	3	{n=1}
-196252	竹简	65536	31481	3	{n=0}
-196255	水解	93108	27700	2	{v=0}
-196256	那么	138855	37027	2	{c=54, r=80, v=0}
-196261	独苗	65536	29420	3	{n=0}
-196267	运行	135072	36816	2	{n=0, v=60, vn=104}
-196270	笔芯	65536	31508	3	{n=2}
-196275	真理	113891	30495	2	{n=18}
-196276	赶来	65536	36214	3	{v=25}
-196281	阳平	141243	38451	2	{n=0}
-196284	海胆	65536	28023	3	{n=0}
-196285	竹管	65536	31481	3	{n=0}
-196287	米面	65536	31859	3	{n=4}
-196293	相忍	118212	30456	1	null
-196294	网箱	65536	32593	3	{n=2}
-196295	竹箫	115644	31481	1	null
-196301	竹箱	65536	31481	3	{n=0}
-196306	生油	112011	29983	2	{n=0, vn=0}
-196318	财礼	65536	36130	3	{n=0}
-196325	菜板	65536	33756	3	{n=0}
-196328	露点	65536	38706	3	{n=0}
-196335	竹篓	65536	31481	3	{n=0}
-196338	罗斯	118294	32599	1	null
-196339	那些	65536	37027	3	{r=143}
-196342	节地	118844	33410	1	null
-196345	简述	65536	31616	3	{v=1, vn=0}
-196349	虚夸	65536	34394	3	{v=4}
-196352	财神	125208	36130	2	{n=3}
-196354	雷动	65536	38647	3	{v=0}
-196355	网篮	65536	32593	3	{n=0}
-196357	邮亭	65536	37038	3	{n=0}
-196362	竹篮	65536	31481	3	{n=0}
-196363	部长	138858	37096	2	{n=268}
-196365	空幻	65536	31354	3	{a=0}
-196373	相思	114874	30456	2	{v=0}
-196374	造影	137479	36896	2	{vn=2}
-196376	紫竹	120670	32043	2	{nr=0}
-196378	竹篾	65536	31481	3	{n=2}
-196380	虚套	65536	34394	3	{n=0}
-196383	绝情	65536	32477	3	{a=0}
-196385	苏泊	125339	33487	1	null
-196389	脱开	65536	33073	3	{v=0}
-196392	神圣	118767	31070	2	{a=15, ad=0, an=0}
-196401	翻改	65536	32763	3	{v=0}
-196402	货币	133291	36135	2	{n=241}
-196405	经改	65536	32463	3	{j=1}
-196414	生津	108142	29983	1	null
-196419	竹簧	65536	31481	3	{n=0}
-196421	落入	65536	33853	3	{v=6}
-196425	虚妄	65536	34394	3	{b=0}
-196426	盘鼓	65536	30424	3	{n=1}
-196430	邮件	65536	37038	3	{n=37}
-196436	生活	115781	29983	2	{a=0, n=0, v=119, vn=666}
-196442	编录	65536	32534	3	{v=0}
-196448	神坛	65536	31070	3	{n=0}
-196449	脚手	120614	33050	1	null
-196452	结巴	65536	32467	3	{a=1}
-196453	空廓	65536	31354	3	{a=0}
-196464	逆温	134575	36870	1	null
-196466	那会	138140	37027	1	null
-196467	蓝领	126453	34013	2	{b=0}
-196468	部门	65536	37096	3	{n=924}
-196473	脚扣	65536	33050	3	{n=0}
-196476	虎牙	65536	34382	3	{n=0}
-196482	观音	130224	35266	2	{n=0}
-196483	经文	65536	32463	3	{n=1}
-196489	英年	123053	33521	1	null
-196494	相悖	65536	30456	3	{v=4}
-196495	翻斗	108627	32763	1	null
-196500	雷区	65536	38647	3	{n=1}
-196510	镇委	65536	38215	3	{n=0}
-196511	菜根	65536	33756	3	{n=0}
-196514	考茨	123250	32771	1	null
-196517	那位	65536	37027	3	{r=19}
-196520	翻新	65536	32763	3	{v=1, vn=1}
-196521	角马	65536	35282	3	{n=2}
-196523	部队	65536	37096	3	{n=309}
-196525	队长	65536	38431	3	{n=18}
-196528	财税	65536	36130	3	{j=24, n=3}
-196529	破脸	65536	30772	3	{v=0}
-196532	采取	65536	37319	3	{v=430, vn=0}
-196534	石斑	98979	30707	1	null
-196538	群贤	117575	32676	1	null
-196539	诗抄	65536	35799	3	{n=2}
-196542	石料	65536	30707	3	{n=1}
-196546	生涩	65536	29983	3	{a=0, an=0}
-196548	私生	117003	31169	1	null
-196549	结幕	65536	32467	3	{n=0}
-196551	饭橱	65536	39277	3	{n=0}
-196552	生涯	65536	29983	3	{n=26}
-196553	清纯	65536	28165	3	{a=0}
-196557	私用	65536	31169	3	{v=0}
-196561	部际	65536	37096	3	{n=1}
-196567	白嫩	65536	30333	3	{a=0, z=1}
-196568	耳濡	115471	32819	1	null
-196569	特首	65536	29305	3	{j=0}
-196571	玉龙	65536	29577	3	{nr=1, ns=0}
-196574	石方	65536	30707	3	{n=0}
-196575	翻旧	109214	32763	1	null
-196579	雷厉	124431	38647	1	null
-196580	试唱	65536	35797	3	{vn=0}
-196581	空当	65536	31354	3	{n=1}
-196586	病病	109120	30149	1	null
-196588	病症	65536	30149	3	{n=2}
-196590	火腿	99406	28779	2	{n=1}
-196598	鼻息	65536	40763	3	{n=1}
-196601	肉欲	65536	32905	3	{n=0}
-196602	降半	136705	38477	1	null
-196604	逃课	65536	36867	3	{v=1}
-196608	病痛	65536	30149	3	{n=0}
-196611	爱面	110075	29233	1	null
-196621	群起	65536	32676	3	{d=1, v=0}
-196624	落到	126680	33853	1	null
-196629	语序	65536	35821	3	{n=0}
-196631	联储	65536	32852	3	{j=2}
-196635	精子	65536	31934	3	{n=3}
-196637	脚指	124329	33050	1	null
-196639	虎狼	65536	34382	3	{n=0}
-196640	海航	65536	28023	3	{j=3}
-196642	水警	65536	27700	3	{n=0}
-196643	船上	65536	33337	3	{s=19}
-196644	英式	65536	33521	3	{b=0}
-196647	直译	65536	30452	3	{n=0, v=0}
-196650	酸中	131749	37240	1	null
-196655	海船	65536	28023	3	{n=0}
-196656	画纸	65536	30011	3	{n=0}
-196659	直话	65536	30452	3	{n=0}
-196660	电毯	65536	30005	3	{n=0}
-196661	船东	65536	33337	3	{n=1}
-196664	陶马	65536	38518	3	{n=2}
-196667	降压	133533	38477	2	{v=0}
-196671	罗曼	123321	32599	1	null
-196673	词典	129926	35789	2	{n=2}
-196675	讲述	65536	35762	3	{v=26, vn=1}
-196677	白字	65536	30333	3	{n=0}
-196678	聚珍	116953	32858	1	null
-196682	直说	65536	30452	3	{v=0}
-196683	百衲	111022	30334	1	null
-196685	视频	65536	35270	3	{n=1}
-196686	清缴	65536	28165	3	{v=0}
-196687	用血	65536	29992	3	{n=8}
-196690	皮货	115773	30382	2	{n=0}
-196691	皮质	65536	30382	3	{n=1}
-196692	船主	65536	33337	3	{n=2}
-196693	空心	118811	31354	2	{b=1, v=0, vn=1}
-196697	电气	114769	30005	2	{n=5}
-196698	画绢	65536	30011	3	{n=0}
-196704	气鼓	86550	27668	1	null
-196710	雷同	65536	38647	3	{v=8, vn=0}
-196717	阳性	135203	38451	2	{b=0, n=6}
-196719	这话	65536	36825	3	{r=4}
-196720	酸乳	65536	37240	3	{n=0}
-196731	火舌	65536	28779	3	{n=0}
-196733	赤卫	134189	36196	1	null
-196735	铺平	65536	38138	3	{v=2}
-196736	背离	65536	32972	3	{v=2, vn=0}
-196745	短短	108644	30701	2	{a=0, v=1, z=23}
-196748	电汇	65536	30005	3	{n=0, v=0}
-196753	精密	118325	31934	2	{a=3, ad=1, an=0, nz=0}
-196756	石景	115375	30707	1	null
-196758	铺床	65536	38138	3	{v=0}
-196761	白宫	65536	30333	3	{n=20, ns=0}
-196762	田鳖	65536	30000	3	{n=0}
-196770	脚掌	65536	33050	3	{n=0}
-196772	白家	112749	30333	1	null
-196773	电池	103584	30005	2	{n=17}
-196775	油锯	65536	27833	3	{n=0}
-196777	生源	65536	29983	3	{n=6}
-196783	特马	105755	29305	2	{ns=0}
-196786	破船	65536	30772	3	{n=3}
-196799	要冲	65536	35201	3	{n=1}
-196801	硬玉	65536	30828	3	{n=0}
-196810	米饭	65536	31859	3	{n=1}
-196817	赤县	65536	36196	3	{ns=1}
-196823	简野	65536	31616	3	{nr=0}
-196824	豆面	65536	35910	3	{n=0}
-196826	绝技	65536	32477	3	{n=6}
-196827	语录	65536	35821	3	{n=0}
-196828	节外	118438	33410	1	null
-196839	硬环	116836	30828	1	null
-196847	迷离	132750	36855	2	{a=1, an=1}
-196862	管灌	65536	31649	3	{j=1, v=0, vn=0}
-196865	装作	65536	35013	3	{v=0}
-196866	水豆	94516	27700	1	null
-196872	肉汁	65536	32905	3	{n=0}
-196874	联军	65536	32852	3	{n=3}
-196876	铺开	65536	38138	3	{v=4, vn=0}
-196877	肥缺	65536	32933	3	{n=0}
-196879	百褶	102399	30334	1	null
-196885	节奏	123562	33410	2	{n=19}
-196890	镇子	134387	38215	2	{n=0}
-196892	虚字	65536	34394	3	{n=0}
-196895	生漆	65536	29983	3	{n=2}
-196896	火花	109691	28779	2	{n=2}
-196900	翻本	65536	32763	3	{v=1}
-196902	要则	65536	35201	3	{n=0}
-196903	电波	65536	30005	3	{n=0}
-196906	白尼	104347	30333	1	null
-196907	肉汤	65536	32905	3	{n=0}
-196908	铺张	132840	38138	2	{a=0}
-196909	积谷	102282	31215	1	null
-196910	脑神	114673	33041	1	null
-196913	真的	65536	30495	3	{a=1, d=20}
-196915	白居	113405	30333	1	null
-196917	绝招	65536	32477	3	{n=3}
-196919	罗柴	123912	32599	1	null
-196920	电泳	65536	30005	3	{n=0}
-196922	电泵	65536	30005	3	{n=3}
-196923	衣着	65536	34915	3	{n=6}
-196926	水貂	65536	27700	3	{n=0}
-196934	火苗	65536	28779	3	{n=0}
-196935	美文	65536	32654	3	{n=1}
-196937	相扑	65536	30456	3	{n=0}
-196939	镇宁	65536	38215	3	{ns=0}
-196940	神奇	65536	31070	3	{a=25, an=2}
-196941	热血	65536	28909	3	{n=7}
-196946	镇守	65536	38215	3	{v=0}
-196947	镇安	139706	38215	1	null
-196951	空情	65536	31354	3	{n=0}
-196953	顾问	142534	39038	2	{n=39, v=0}
-196955	真皮	65536	30495	3	{n=0}
-196957	翻来	122557	32763	1	null
-196959	白山	112887	30333	1	null
-196960	油门	65536	27833	3	{n=1}
-196961	肥美	65536	32933	3	{a=0}
-196963	虚实	65536	34394	3	{n=2}
-196964	镇定	127888	38215	2	{a=2, vn=0}
-196965	海药	65536	28023	3	{nz=1}
-196966	船位	65536	33337	3	{n=0}
-196972	船体	65536	33337	3	{n=1}
-196974	逃走	65536	36867	3	{v=0}
-196978	热补	65536	28909	3	{v=0}
-196980	鞋粉	65536	38795	3	{n=0}
-196981	石材	65536	30707	3	{n=34}
-196983	直贡	116561	30452	1	null
-196984	神女	65536	31070	3	{n=1}
-196985	美方	65536	32654	3	{n=18}
-196987	还礼	65536	36824	3	{v=0}
-196991	省视	65536	30465	3	{v=0}
-196996	热衷	65536	28909	3	{v=11, vn=1}
-196997	空想	117700	31354	2	{n=2, v=0, vn=0}
-196998	电流	101117	30005	2	{n=1}
-196999	语态	65536	35821	3	{n=0}
-197003	粉身	111528	31881	1	null
-197005	相投	65536	30456	3	{v=1}
-197011	装修	65536	35013	3	{v=8, vn=4}
-197014	耳熟	112902	32819	2	{a=0}
-197015	那儿	65536	37027	3	{r=7}
-197016	结怨	65536	32467	3	{v=0}
-197021	私相	114896	31169	1	null
-197022	神妙	106327	31070	2	{a=2, an=2}
-197027	石松	65536	30707	3	{n=0}
-197028	石板	65536	30707	3	{n=1}
-197029	真相	115687	30495	2	{n=20}
-197037	相抵	65536	30456	3	{v=1}
-197038	要务	65536	35201	3	{n=0}
-197041	试图	65536	35797	3	{v=20}
-197043	问好	65536	38382	3	{v=2}
-197045	造成	65536	36896	3	{v=260, vn=0}
-197052	石林	65536	30707	3	{n=1, ns=0, nz=1}
-197055	脑积	119438	33041	1	null
-197063	网纲	65536	32593	3	{n=0}
-197068	真真	117974	30495	2	{d=1}
-197071	逃跑	65536	36867	3	{v=1}
-197074	海菜	65536	28023	3	{n=0}
-197075	钟表	136045	38047	2	{n=0}
-197076	竹纸	65536	31481	3	{n=1}
-197078	落叶	125743	33853	2	{n=4}
-197086	火药	110703	28779	2	{n=1}
-197091	水货	65536	27700	3	{n=0}
-197092	水质	65536	27700	3	{n=13}
-197093	田鸡	65536	30000	3	{n=0}
-197100	装假	65536	35013	3	{v=0}
-197101	试场	65536	35797	3	{n=0}
-197102	落后	65536	33853	3	{a=82, an=3, v=1}
-197104	鲜明	65536	40092	3	{a=32, ad=0}
-197105	网络	123589	32593	2	{n=96, v=0}
-197109	水费	65536	27700	3	{n=5}
-197113	相持	118265	30456	2	{v=0, vn=1}
-197119	装做	65536	35013	3	{v=0}
-197120	水资	99317	27700	1	null
-197124	镇尺	65536	38215	3	{n=0}
-197126	神威	65536	31070	3	{n=3, nz=1}
-197133	联办	65536	32852	3	{v=3, vn=0}
-197135	露珠	65536	38706	3	{n=0}
-197136	纸浆	122120	32440	2	{n=1}
-197137	群轻	119944	32676	1	null
-197141	编成	65536	32534	3	{v=4}
-197142	石柱	65536	30707	3	{n=1, ns=0}
-197143	联动	65536	32852	3	{d=0, v=4, vd=0, vn=1}
-197152	清脆	65536	28165	3	{a=2}
-197154	蒙达	129313	33945	1	null
-197162	赛风	65536	36187	3	{n=3}
-197164	田鹨	65536	30000	3	{n=0}
-197167	美景	111678	32654	2	{n=4}
-197168	破获	65536	30772	3	{v=13, vn=1}
-197170	竹编	65536	31481	3	{n=0}
-197172	石栏	65536	30707	3	{n=0}
-197173	米高	115551	31859	1	null
-197177	酸值	65536	37240	3	{n=0}
-197180	石栗	65536	30707	3	{n=0}
-197184	翻案	65536	32763	3	{v=0, vn=0}
-197186	虎生	120816	34382	1	null
-197189	直路	65536	30452	3	{n=0}
-197190	虚岁	65536	34394	3	{n=0}
-197198	贵耳	118601	36149	1	null
-197200	语惊	131348	35821	1	null
-197205	等距	110733	31561	2	{vn=0}
-197212	肥肉	65536	32933	3	{n=0}
-197216	装傻	65536	35013	3	{v=0}
-197218	海葬	65536	28023	3	{n=0}
-197222	网网	65536	32593	3	{n=3}
-197224	电渣	107229	30005	1	null
-197227	海葵	65536	28023	3	{n=0}
-197228	网罗	65536	32593	3	{n=0, v=1}
-197232	脱手	65536	33073	3	{v=0}
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-197240	肥肥	123669	32933	1	null
-197242	画脂	98007	30011	1	null
-197252	生火	65536	29983	3	{v=2}
-197253	肥育	65536	32933	3	{vn=0}
-197255	磁针	65536	30913	3	{n=0}
-197256	脱扣	65536	33073	3	{v=0}
-197258	石桥	65536	30707	3	{n=1, nr=0}
-197262	生灵	107601	29983	2	{n=0}
-197264	跳虫	65536	36339	3	{n=0}
-197266	真知	109731	30495	2	{n=0}
-197269	语意	65536	35821	3	{n=0}
-197272	背篓	65536	32972	3	{n=4}
-197277	相接	65536	30456	3	{v=2}
-197279	相控	99798	30456	1	null
-197281	磁钢	65536	30913	3	{n=0}
-197285	语感	65536	35821	3	{n=0}
-197287	短程	65536	30701	3	{b=0}
-197289	肥胖	124092	32933	2	{a=2, an=0}
-197290	空战	65536	31354	3	{v=0}
-197291	水路	65536	27700	3	{n=5}
-197293	精巢	65536	31934	3	{n=0}
-197294	词句	65536	35789	3	{n=3}
-197296	精工	110087	31934	2	{n=1, nz=0}
-197297	粗笨	65536	31895	3	{a=0}
-197298	精巧	65536	31934	3	{a=4, an=0}
-197301	皮辊	110780	30382	1	null
-197302	破落	114187	30772	2	{vn=0}
-197310	诗文	65536	35799	3	{n=1}
-197312	磁铁	109029	30913	2	{n=0}
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-197316	特鲁	100253	29305	1	null
-197320	相提	114071	30456	1	null
-197321	跳蚤	131832	36339	2	{n=0}
-197323	考虑	65536	32771	3	{v=104, vn=11}
-197325	顾面	141404	39038	1	null
-197326	虎疫	65536	34382	3	{n=0}
-197329	空房	65536	31354	3	{n=1}
-197333	电源	103593	30005	2	{n=7}
-197339	火葬	109994	28779	2	{v=0}
-197341	空手	65536	31354	3	{n=0, v=0}
-197343	贵胄	65536	36149	3	{n=0}
-197348	田鼠	65536	30000	3	{n=1}
-197355	鲜有	65536	40092	3	{v=0}
-197358	石棉	109122	30707	2	{n=1}
-197359	美术	126253	32654	2	{n=31}
-197360	表亲	65536	34920	3	{n=0}
-197361	白布	65536	30333	3	{n=0}
-197362	豆饼	65536	35910	3	{n=0}
-197369	管片	65536	31649	3	{n=2}
-197375	留言	109870	30041	2	{n=0, v=2, vn=0}
-197379	油鞋	65536	27833	3	{n=0}
-197386	装入	65536	35013	3	{v=1}
-197387	白帝	114482	30333	1	null
-197390	采地	65536	37319	3	{n=0}
-197396	白带	65536	30333	3	{n=0}
-197398	节子	65536	33410	3	{n=0}
-197399	险要	65536	38505	3	{a=0}
-197402	评头	131550	35780	1	null
-197403	脑筋	65536	33041	3	{n=6, vn=0}
-197404	装具	65536	35013	3	{n=0}
-197405	英戈	125580	33521	1	null
-197407	石棺	65536	30707	3	{n=0}
-197410	部首	65536	37096	3	{n=0}
-197414	舞谱	65536	33310	3	{n=0}
-197415	空投	65536	31354	3	{v=1, vn=0}
-197430	透镜	65536	36879	3	{n=1}
-197436	评奖	65536	35780	3	{v=5, vn=14}
-197437	精干	65536	31934	3	{a=6, v=0}
-197463	美林	65536	32654	3	{nr=1, nz=1}
-197464	船儿	65536	33337	3	{n=1}
-197469	邮包	65536	37038	3	{n=1}
-197472	白干	65536	30333	3	{n=0, v=0}
-197474	英才	65536	33521	3	{n=2, nr=0, nz=0}
-197477	要员	65536	35201	3	{n=4}
-197480	管状	108700	31649	2	{n=0}
-197483	神学	119075	31070	2	{n=0}
-197489	精度	65536	31934	3	{n=8}
-197494	紫罗	122085	32043	1	null
-197495	联合	127170	32852	2	{n=1, nr=0, nz=0, v=191, vd=0, vn=88}
-197500	联名	125646	32852	2	{v=4, vd=0, vn=0}
-197502	鲜果	65536	40092	3	{n=1}
-197504	结成	65536	32467	3	{v=23}
-197509	石楠	65536	30707	3	{nr=0}
-197510	运货	124019	36816	1	null
-197511	白庙	116896	30333	1	null
-197514	要命	65536	35201	3	{a=1, v=1}
-197516	神宇	65536	31070	3	{n=0}
-197520	绝收	65536	32477	3	{v=1, vn=1}
-197521	细故	65536	32454	3	{n=0}
-197525	轮休	65536	36718	3	{v=0}
-197526	相撞	65536	30456	3	{v=1, vn=0}
-197527	编排	65536	32534	3	{v=11, vn=6}
-197528	运费	136016	36816	2	{n=2}
-197531	眼袋	65536	30524	3	{n=0}
-197536	跳蝻	65536	36339	3	{n=0}
-197539	画舫	65536	30011	3	{n=0}
-197541	蓝鲸	65536	34013	3	{n=0}
-197542	耳环	65536	32819	3	{n=0}
-197553	画船	65536	30011	3	{n=0}
-197555	空挡	65536	31354	3	{n=0}
-197559	短笛	65536	30701	3	{n=0}
-197562	评委	133005	35780	2	{n=5}
-197566	结扎	118800	32467	2	{v=0}
-197567	问安	65536	38382	3	{v=0}
-197570	表侄	128801	34920	2	{n=0}
-197572	雷坪	143486	38647	1	null
-197574	清芬	65536	28165	3	{a=0}
-197576	赛马	132684	36187	2	{v=1, vn=0}
-197578	菜汤	65536	33756	3	{n=0}
-197585	虎皮	65536	34382	3	{n=0}
-197588	百读	117452	30334	1	null
-197593	石榴	108342	30707	2	{n=1}
-197598	胡编	65536	32993	3	{v=0}
-197600	轮作	135485	36718	2	{v=0, vn=0}
-197606	硬皮	109352	30828	1	null
-197612	直辖	114102	30452	2	{v=0, vn=0}
-197613	油页	104818	27833	1	null
-197614	白开	109262	30333	1	null
-197617	海藻	65536	28023	3	{n=0}
-197628	用语	65536	29992	3	{n=11}
-197630	迷糊	65536	36855	3	{v=0, vn=0}
-197632	清苦	65536	28165	3	{a=2, an=0}
-197635	雅乐	65536	38597	3	{n=1}
-197640	问寒	123206	38382	1	null
-197642	绿杨	124338	32511	2	{ns=0}
-197644	病秧	113249	30149	1	null
-197648	硬盘	65536	30828	3	{n=1}
-197650	羊痘	65536	32650	3	{n=0}
-197652	直达	101462	30452	2	{v=3, vn=4}
-197658	独行	113959	29420	1	null
-197661	鸟瞰	65536	40479	3	{v=1, vn=0}
-197662	精当	65536	31934	3	{a=2}
-197663	菜油	65536	33756	3	{n=0}
-197664	粗粗	65536	31895	3	{d=1}
-197666	水车	106554	27700	2	{n=0}
-197669	羊痫	105877	32650	1	null
-197673	邮发	65536	37038	3	{vn=2}
-197674	水轮	101200	27700	2	{n=2}
-197680	病程	65536	30149	3	{n=0}
-197681	等边	65536	31561	3	{b=0}
-197684	精彩	110108	31934	2	{a=47, an=0, vn=0}
-197686	逃逸	65536	36867	3	{v=8, vn=1}
-197687	粗粮	65536	31895	3	{n=1}
-197689	绿林	121495	32511	2	{n=0}
-197690	绝无	123962	32477	1	null
-197691	那口	135564	37027	1	null
-197693	镇平	139717	38215	1	null
-197694	雅事	65536	38597	3	{n=1}
-197695	逃遁	65536	36867	3	{v=0}
-197696	虚幻	65536	34394	3	{a=0, n=1}
-197698	脚本	65536	33050	3	{n=1}
-197699	铺户	65536	38138	3	{n=0}
-197705	画苑	65536	30011	3	{n=0}
-197707	这边	65536	36825	3	{r=1}
-197708	结拜	65536	32467	3	{v=0}
-197710	诗朗	117598	35799	1	null
-197711	生父	65536	29983	3	{n=0}
-197712	清茶	65536	28165	3	{n=1}
-197721	虚应	124949	34394	2	{v=1}
-197727	直选	65536	30452	3	{j=0, v=0}
-197730	粗糙	65536	31895	3	{a=1, an=0}
-197731	短篇	115420	30701	2	{b=3}
-197732	相敬	115342	30456	1	null
-197734	美梦	65536	32654	3	{n=0}
-197739	虚度	126698	34394	2	{v=2}
-197741	雅人	65536	38597	3	{n=0}
-197743	海虹	65536	28023	3	{nz=1}
-197744	直通	65536	30452	3	{b=0, v=3, vn=3}
-197745	财经	65536	36130	3	{n=50}
-197749	水边	65536	27700	3	{s=1}
-197750	海蚀	65536	28023	3	{n=0}
-197752	硬着	116674	30828	1	null
-197753	精微	65536	31934	3	{a=1}
-197757	逃避	65536	36867	3	{v=8, vn=0}
-197762	生物	116566	29983	2	{n=49, vn=1}
-197772	水运	65536	27700	3	{n=0, nz=0, v=0, vn=2}
-197774	精心	65536	31934	3	{a=17, ad=60, an=0, d=2}
-197775	独裁	101573	29420	2	{a=0, ad=1, an=0}
-197777	电灌	104592	30005	1	null
-197781	脚板	65536	33050	3	{n=0}
-197783	等速	105084	31561	2	{v=0}
-197789	相斥	65536	30456	3	{v=0}
-197790	财综	131070	36130	2	{j=0}
-197792	联唱	65536	32852	3	{v=1, vn=2}
-197799	辛苦	120756	36763	2	{a=7, ad=1, an=3, v=6, vn=1}
-197808	电火	102587	30005	1	null
-197809	网膜	65536	32593	3	{n=0}
-197811	绿树	119307	32511	1	null
-197812	电灯	108173	30005	2	{n=8}
-197813	编撰	111760	32534	2	{v=2, vn=0}
-197816	管理	129762	31649	2	{v=227, vn=883}
-197817	赶浪	132510	36214	1	null
-197818	船务	65536	33337	3	{n=1}
-197819	电灶	65536	30005	3	{n=0}
-197821	海蛇	65536	28023	3	{n=0}
-197824	轮值	65536	36718	3	{v=0, vn=15}
-197828	海蛎	106695	28023	1	null
-197830	赶海	65536	36214	3	{v=0}
-197835	清莱	65536	28165	3	{ns=2}
-197838	电炉	65536	30005	3	{n=0}
-197839	电炊	115194	30005	1	null
-197841	眼见	118608	30524	2	{v=4, vn=0}
-197852	留话	65536	30041	3	{v=0}
-197858	眼角	105457	30524	2	{n=3}
-197860	边料	65536	36793	3	{n=0}
-197861	虚张	128115	34394	1	null
-197863	热诚	65536	28909	3	{a=0, ad=2, an=1}
-197864	羊皮	112557	32650	2	{n=0}
-197876	油饼	65536	27833	3	{n=0}
-197877	精怪	65536	31934	3	{n=0}
-197878	虚弱	65536	34394	3	{a=2, an=0}
-197879	皮里	112331	30382	1	null
-197880	皮重	65536	30382	3	{n=0}
-197885	海蜇	107259	28023	2	{n=0}
-197888	百货	116702	30334	2	{n=6}
-197896	海蜒	65536	28023	3	{n=0}
-197900	透露	65536	36879	3	{v=49, vn=0}
-197903	水道	65536	27700	3	{n=2}
-197904	落地	124993	33853	2	{v=5, vn=1}
-197905	油香	65536	27833	3	{n=0}
-197907	神崎	65536	31070	3	{nr=0}
-197909	紫胶	108523	32043	2	{n=0}
-197910	耳生	65536	32819	3	{a=0}
-197912	相映	113156	30456	2	{v=2}
-197913	邮品	65536	37038	3	{n=3}
-197917	装卸	127871	35013	2	{v=0, vn=3}
-197918	电烙	97972	30005	1	null
-197927	真空	110640	30495	2	{n=3}
-197929	电烤	107248	30005	1	null
-197932	聚碳	108980	32858	1	null
-197936	苦丁	115458	33510	1	null
-197938	电热	113960	30005	2	{n=0}
-197939	短粗	65536	30701	3	{z=0}
-197940	生猛	107628	29983	1	null
-197948	苦不	126479	33510	1	null
-197949	舞蹈	124726	33310	2	{n=46, v=0, vn=0}
-197955	生猪	65536	29983	3	{n=8}
-197956	破蛋	65536	30772	3	{n=0}
-197960	用费	65536	29992	3	{n=0}
-197962	雷声	65536	38647	3	{n=0}
-197967	电焊	112027	30005	2	{vn=0}
-197972	简陋	65536	31616	3	{a=9, an=0}
-197976	精悍	65536	31934	3	{a=0}
-197982	险诈	65536	38505	3	{a=0}
-197994	苦主	65536	33510	3	{n=0}
-197995	背约	65536	32972	3	{v=0}
-198000	私立	65536	31169	3	{b=1}
-198002	飘动	65536	39128	3	{v=2}
-198004	脱敏	65536	33073	3	{vn=0}
-198005	绝望	65536	32477	3	{a=2, ad=0, an=1}
-198007	补丁	65536	34917	3	{n=0}
-198010	这部	65536	36825	3	{r=67}
-198011	货摊	65536	36135	3	{n=0}
-198016	评定	65536	35780	3	{v=1, vn=5}
-198018	表兄	127351	34920	1	null
-198021	私章	65536	31169	3	{n=0}
-198022	邮售	65536	37038	3	{v=0}
-198023	评审	65536	35780	3	{v=3, vn=6}
-198024	虚心	65536	34394	3	{a=1, ad=6}
-198026	雅俗	142415	38597	2	{n=2}
-198028	罗汉	118346	32599	2	{nr=0}
-198032	绿森	117553	32511	1	null
-198034	立眉	110821	31435	1	null
-198043	船厂	65536	33337	3	{n=9}
-198046	竹节	110936	31481	1	null
-198048	独角	113506	29420	1	null
-198055	竹芋	65536	31481	3	{n=0}
-198057	纸烟	65536	32440	3	{n=0}
-198060	衣箱	65536	34915	3	{n=0}
-198061	细条	117169	32454	1	null
-198064	海螺	65536	28023	3	{n=1}
-198074	苦事	65536	33510	3	{n=0}
-198077	苦于	65536	33510	3	{v=6}
-198085	虚怀	117377	34394	1	null
-198090	表册	65536	34920	3	{n=0}
-198091	运转	65536	36816	3	{v=19, vn=3}
-198093	阳文	65536	38451	3	{nr=0}
-198094	言简	127931	35328	1	null
-198097	空政	65536	31354	3	{j=1}
-198098	清蒸	90715	28165	2	{vn=0}
-198099	赤壁	65536	36196	3	{ns=2}
-198102	补习	121994	34917	2	{v=2, vn=0}
-198106	管用	65536	31649	3	{a=0, v=0}
-198108	运载	128574	36816	2	{v=0, vn=5}
-198115	神州	65536	31070	3	{n=17}
-198117	笔触	65536	31508	3	{n=3}
-198120	硬碰	108685	30828	1	null
-198121	细枝	117225	32454	1	null
-198122	神工	100321	31070	1	null
-198123	齐胸	65536	40784	3	{v=1}
-198125	电熨	110048	30005	1	null
-198127	海蟹	65536	28023	3	{n=0}
-198128	神巫	65536	31070	3	{n=0}
-198129	表决	129588	34920	2	{v=3, vn=6}
-198130	运输	137409	36816	2	{n=0, v=17, vn=96}
-198131	神差	100325	31070	1	null
-198134	阳新	140663	38451	2	{ns=0}
-198135	险象	133275	38505	2	{n=1}
-198138	竹苞	115147	31481	1	null
-198142	管界	65536	31649	3	{n=0}
-198144	跑腿	65536	36305	3	{v=0}
-198147	船只	65536	33337	3	{n=9}
-198152	聚福	107693	32858	1	null
-198153	船台	65536	33337	3	{n=5}
-198155	要图	65536	35201	3	{n=0}
-198158	水酒	65536	27700	3	{n=0}
-198163	相望	65536	30456	3	{v=2}
-198169	空文	65536	31354	3	{n=0}
-198170	补交	65536	34917	3	{v=1}
-198175	生理	112257	29983	2	{n=7}
-198177	米黄	108917	31859	2	{b=0}
-198179	鞋脸	65536	38795	3	{n=0}
-198180	词坛	65536	35789	3	{n=0}
-198190	纸煤	65536	32440	3	{n=0}
-198194	相机	103369	30456	2	{n=4}
-198196	热货	65536	28909	3	{n=0}
-198202	粗纱	65536	31895	3	{n=0}
-198205	要地	65536	35201	3	{n=0}
-198211	粗纺	65536	31895	3	{n=0}
-198215	等量	101122	31561	1	null
-198216	粗线	115961	31895	1	null
-198220	节庆	65536	33410	3	{j=0, n=2, nz=0, vn=0}
-198223	粗细	65536	31895	3	{n=3}
-198224	透顶	65536	36879	3	{z=0}
-198229	竹茹	65536	31481	3	{n=0}
-198230	铺摊	65536	38138	3	{v=1}
-198231	翻江	124857	32763	1	null
-198238	这里	65536	36825	3	{r=355}
-198240	运送	65536	36816	3	{v=18, vn=3}
-198244	经济账	65536	198474	3	{n=1}
-198248	聚积	65536	32858	3	{v=0}
-198251	阳春	131852	38451	2	{n=1}
-198252	节度	128076	33410	1	null
-198253	罗洪	124763	32599	1	null
-198256	酸味	65536	37240	3	{n=0}
-198257	船员	65536	33337	3	{n=1}
-198258	空无	121211	31354	1	null
-198265	运通	65536	36816	3	{nz=0}
-198273	维语	65536	32500	3	{nz=0}
-198279	补休	65536	34917	3	{v=0}
-198281	空旷	115084	31354	2	{a=1, an=0}
-198282	虚情	130349	34394	1	null
-198283	水量	65536	27700	3	{n=6}
-198287	虚惊	65536	34394	3	{v=0, vn=0}
-198289	紫色	65536	32043	3	{n=0}
-198294	脑细	114153	33041	1	null
-198295	联在	65536	32852	3	{v=0}
-198299	边材	65536	36793	3	{n=0}
-198300	英文	119918	33521	2	{nz=10}
-198302	神庙	65536	31070	3	{n=0}
-198304	空明	65536	31354	3	{a=0}
-198305	神府	65536	31070	3	{ns=0}
-198312	透风	65536	36879	3	{v=2}
-198318	石沉	116227	30707	1	null
-198321	罗浮	121362	32599	1	null
-198322	留足	65536	30041	3	{v=0}
-198327	试射	65536	35797	3	{v=0}
-198330	适龄	65536	36866	3	{b=4}
-198332	紫芝	65536	32043	3	{n=0}
-198333	赶潮	127382	36214	1	null
-198336	爱鸟	65536	29233	3	{v=0}
-198337	离谱	119534	31163	2	{a=0}
-198339	积重	102151	31215	1	null
-198350	英方	65536	33521	3	{n=5}
-198352	紫花	120626	32043	1	null
-198358	附着	141532	38468	2	{v=1}
-198359	除了	65536	38500	3	{p=103, v=1}
-198360	石河	115682	30707	2	{ns=1}
-198362	穷追	121124	31351	2	{v=1}
-198365	表功	65536	34920	3	{v=0}
-198366	石油	116588	30707	2	{n=226}
-198368	藏青	65536	34255	3	{b=0}
-198373	耳目	125960	32819	2	{n=0}
-198374	药业	65536	33647	3	{n=6}
-198380	舞迷	65536	33310	3	{n=0}
-198382	紫苏	65536	32043	3	{n=0}
-198385	穷途	114707	31351	2	{n=0}
-198391	鞋舌	65536	38795	3	{n=0}
-198398	雅克	65536	38597	3	{n=1}
-198400	闲不	141327	38386	1	null
-198404	药丸	65536	33647	3	{n=0}
-198407	神异	65536	31070	3	{a=0}
-198410	鸟窝	65536	40479	3	{n=0}
-198413	语文	117749	35821	2	{n=1}
-198414	肉片	65536	32905	3	{n=0}
-198417	纸片	65536	32440	3	{n=1}
-198418	纸版	65536	32440	3	{n=0}
-198420	附睾	133867	38468	2	{n=0}
-198422	纸牌	65536	32440	3	{n=1}
-198423	细棋	65536	32454	3	{n=0}
-198424	还给	65536	36824	3	{v=6}
-198425	空暇	65536	31354	3	{n=1}
-198427	节录	65536	33410	3	{n=0, v=0}
-198430	精打	110104	31934	1	null
-198431	语料	129377	35821	2	{n=0}
-198434	肉牛	65536	32905	3	{n=1}
-198435	英明	65536	33521	3	{a=0, ad=1, an=0}
-198438	破袭	114220	30772	1	null
-198439	雅兴	65536	38597	3	{n=0}
-198440	紫茉	109287	32043	1	null
-198443	雅典	65536	38597	3	{ns=4}
-198454	除以	65536	38500	3	{v=2}
-198456	生生	115679	29983	1	null
-198457	白手	100749	30333	1	null
-198459	破裂	100438	30772	2	{v=0, vn=0}
-198460	造林	65536	36896	3	{v=8, vn=4}
-198461	苏瓦	65536	33487	3	{ns=0}
-198462	翻浆	65536	32763	3	{vn=0}
-198474	经济	162110	32463	2	{a=15, ad=1, an=0, n=2641, vn=0}
-198479	省辖	114267	30465	1	null
-198481	节律	65536	33410	3	{n=0}
-198485	语族	65536	35821	3	{n=0}
-198489	闲书	65536	38386	3	{n=0}
-198490	阳朔	65536	38451	3	{ns=1}
-198491	短线	119005	30701	1	null
-198497	科西	118537	31185	1	null
-198498	近东	65536	36817	3	{n=0, ns=0}
-198500	补修	65536	34917	3	{vn=1}
-198501	紫荆	109504	32043	2	{n=1}
-198502	语无	133330	35821	1	null
-198504	紫草	109370	32043	2	{n=0}
-198507	要塞	65536	35201	3	{n=0}
-198517	用车	65536	29992	3	{n=3, vn=0}
-198523	短统	104029	30701	1	null
-198526	闲事	65536	38386	3	{n=1}
-198533	神往	65536	31070	3	{v=3, vn=0}
-198539	石浦	110857	30707	1	null
-198542	紫药	115263	32043	1	null
-198545	边框	65536	36793	3	{n=0}
-198546	那场	65536	37027	3	{r=6}
-198547	白报	104528	30333	1	null
-198548	近乎	65536	36817	3	{d=0, v=4}
-198551	虎穴	65536	34382	3	{n=1}
-198553	罗湖	123526	32599	2	{ns=3}
-198555	独词	112872	29420	1	null
-198567	红三	122190	32418	1	null
-198568	生疏	65536	29983	3	{a=1}
-198569	鸟笼	65536	40479	3	{n=0}
-198570	生疑	65536	29983	3	{v=0}
-198571	红不	116220	32418	1	null
-198573	闲人	65536	38386	3	{n=1}
-198575	笔记	115318	31508	2	{n=8, v=0, vn=0}
-198577	红专	116645	32418	2	{j=0}
-198579	邮坛	65536	37038	3	{n=3}
-198581	讲面	129741	35762	1	null
-198584	热身	96728	28909	2	{v=0, vn=1}
-198595	药价	65536	33647	3	{n=2}
-198597	补偏	125737	34917	1	null
-198598	画虎	104360	30011	1	null
-198599	阳极	65536	38451	3	{n=0}
-198600	海角	107254	28023	1	null
-198607	背脊	65536	32972	3	{n=0}
-198608	笔译	65536	31508	3	{n=0, v=0}
-198611	罗源	65536	32599	3	{ns=0}
-198612	笔试	65536	31508	3	{n=1, v=1}
-198613	生疼	65536	29983	3	{a=1, z=1}
-198614	短缺	65536	30701	3	{a=1, v=23, vn=6}
-198615	红丹	123070	32418	1	null
-198619	轮南	65536	36718	3	{ns=0}
-198620	神志	65536	31070	3	{n=0}
-198622	生病	65536	29983	3	{v=8, vn=1}
-198623	紫菀	65536	32043	3	{n=0}
-198625	近些	133178	36817	1	null
-198629	解乏	65536	35299	3	{an=0}
-198630	结晶	123642	32467	2	{n=4}
-198635	矿车	65536	30719	3	{n=0}
-198637	短网	65536	30701	3	{j=0, n=0}
-198638	笔误	65536	31508	3	{n=0}
-198641	肉猪	65536	32905	3	{n=5}
-198645	补偿	115527	34917	2	{v=2, vn=11}
-198648	近亲	65536	36817	3	{n=3}
-198649	问心	135519	38382	1	null
-198651	紫菜	109474	32043	2	{n=1}
-198653	词头	65536	35789	3	{n=0}
-198655	茶亭	65536	33590	3	{n=10}
-198656	近人	65536	36817	3	{n=0}
-198658	笔调	65536	31508	3	{n=0}
-198662	神态	106810	31070	2	{n=3}
-198663	笔谈	65536	31508	3	{v=1, vn=3}
-198664	鼻梁	65536	40763	3	{n=0}
-198668	省道	65536	30465	3	{n=2}
-198669	雷害	65536	38647	3	{n=0}
-198674	表叔	65536	34920	3	{n=0}
-198680	罗滕	122278	32599	1	null
-198690	神思	65536	31070	3	{n=0}
-198691	用途	109238	29992	2	{n=8}
-198693	电珠	65536	30005	3	{n=0}
-198697	近代	136092	36817	2	{t=14}
-198700	紫萍	65536	32043	3	{n=0}
-198702	运量	65536	36816	3	{j=4, n=0}
-198703	神怪	65536	31070	3	{n=0}
-198704	陆路	65536	38470	3	{n=3}
-198715	考证	65536	32771	3	{v=2, vn=1}
-198716	赶热	116976	36214	1	null
-198718	考评	65536	32771	3	{v=1, vn=5}
-198719	画蛇	108075	30011	1	null
-198726	鲜汤	65536	40092	3	{n=0}
-198728	空架	117812	31354	1	null
-198729	虎符	65536	34382	3	{n=0}
-198735	考试	106711	32771	2	{n=0, v=23, vn=44}
-198739	雅加	126470	38597	1	null
-198740	立秋	65536	31435	3	{t=0}
-198741	穷酸	113449	31351	2	{a=0}
-198744	红人	65536	32418	3	{n=0}
-198748	破解	65536	30772	3	{v=0}
-198754	赤子	135045	36196	2	{n=5}
-198761	赤字	65536	36196	3	{n=36}
-198762	虚报	65536	34394	3	{v=1, vn=0}
-198763	货机	65536	36135	3	{n=0}
-198764	茶会	65536	33590	3	{n=0}
-198772	热轧	65536	28909	3	{v=0}
-198777	热转	111556	28909	1	null
-198779	脚步	124401	33050	2	{n=11}
-198783	默默	148487	40664	2	{d=22, z=0}
-198786	近似	136823	36817	2	{a=4, an=0, v=0}
-198787	诗歌	65536	35799	3	{n=10}
-198789	英杰	65536	33521	3	{n=2}
-198792	脱档	65536	33073	3	{v=0}
-198793	海誓	106417	28023	1	null
-198794	要好	65536	35201	3	{a=2}
-198795	粗脂	109496	31895	1	null
-198802	紫葳	65536	32043	3	{n=0}
-198806	联大	65536	32852	3	{j=2}
-198808	试工	65536	35797	3	{v=0, vn=0}
-198809	近体	121561	36817	1	null
-198813	热辐	109361	28909	1	null
-198817	省部	105912	30465	1	null
-198818	近作	65536	36817	3	{n=1}
-198820	虚拟	120483	34394	2	{v=1, vn=0}
-198827	茶余	112106	33590	1	null
-198832	热辣	96148	28909	1	null
-198843	补充	65536	34917	3	{v=22, vd=0, vn=14}
-198845	白描	65536	30333	3	{n=0}
-198856	群防	112513	32676	1	null
-198858	神情	65536	31070	3	{n=7}
-198862	空格	109668	31354	2	{n=0}
-198863	结束	123647	32467	2	{v=228, vn=4}
-198866	翻滚	65536	32763	3	{v=3}
-198870	绿水	65536	32511	3	{n=2}
-198877	留连	111768	30041	2	{v=1}
-198882	空桐	114552	31354	1	null
-198885	胡萝	125464	32993	1	null
-198887	货架	65536	36135	3	{n=4}
-198888	鸟类	143998	40479	2	{n=10}
-198889	解体	65536	35299	3	{v=9, vn=2}
-198891	讲题	65536	35762	3	{n=0}
-198893	苏皖	65536	33487	3	{j=0}
-198897	补养	65536	34917	3	{v=0}
-198898	美洲	115689	32654	2	{n=6, ns=7}
-198900	结构	122869	32467	2	{n=495, v=0}
-198908	紫蓝	108956	32043	1	null
-198911	留退	99977	30041	1	null
-198912	装坛	65536	35013	3	{v=0}
-198915	眼跳	65536	30524	3	{v=0}
-198917	近便	65536	36817	3	{a=0}
-198920	粗腿	112286	31895	1	null
-198924	结果	65536	32467	3	{b=0, c=0, d=50, n=194, v=1, vn=0}
-198925	货柜	117840	36135	2	{n=0}
-198930	独资	65536	29420	3	{b=6, d=1, n=0, v=0, vd=0, vn=0}
-198935	鸟粪	143779	40479	1	null
-198939	白搭	65536	30333	3	{v=1}
-198941	鲜活	65536	40092	3	{a=26, an=1, v=0}
-198943	评弹	65536	35780	3	{n=2}
-198945	赤小	119177	36196	1	null
-198946	蒙难	65536	33945	3	{v=0}
-198947	表哥	65536	34920	3	{n=0}
-198951	藏香	65536	34255	3	{n=0}
-198954	脚气	65536	33050	3	{n=0}
-198955	绿沉	116633	32511	1	null
-198960	落子	65536	33853	3	{v=0}
-198967	聚精	125981	32858	1	null
-198969	货栈	65536	36135	3	{n=1}
-198971	电瓶	99346	30005	2	{n=4}
-198976	苦刑	65536	33510	3	{n=0}
-198979	联委	125847	32852	1	null
-198992	石漫	110672	30707	1	null
-198993	英格	128327	33521	1	null
-198998	直销	65536	30452	3	{v=4, vn=0}
-199002	群雄	108315	32676	2	{n=2}
-199003	绿油	116586	32511	1	null
-199004	海警	65536	28023	3	{n=0}
-199006	迷航	65536	36855	3	{v=0}
-199016	货样	131091	36135	2	{n=0}
-199018	联姻	65536	32852	3	{v=4, vn=0}
-199019	群雕	65536	32676	3	{n=1}
-199020	脑膜	118332	33041	2	{n=0}
-199022	虚掩	65536	34394	3	{v=2}
-199024	陈皮	135989	38472	2	{n=0}
-199031	船坞	65536	33337	3	{n=1}
-199036	真经	65536	30495	3	{n=1}
-199038	落实	65536	33853	3	{v=277, vn=40}
-199039	那大	65536	37027	3	{ns=0}
-199041	那天	65536	37027	3	{r=32, t=0}
-199045	省里	65536	30465	3	{n=18}
-199046	耳福	65536	32819	3	{n=0}
-199047	绿泥	113714	32511	1	null
-199048	立竿	106192	31435	1	null
-199051	铺板	65536	38138	3	{n=0}
-199065	油鸡	65536	27833	3	{n=0}
-199069	直镇	65536	30452	3	{ns=0}
-199073	真维	112506	30495	1	null
-199074	追交	65536	36861	3	{v=1}
-199076	船型	65536	33337	3	{n=4}
-199077	百里	112086	30334	2	{ns=0}
-199078	紫薇	65536	32043	3	{n=0}
-199080	结核	117519	32467	2	{n=0}
-199082	雅号	65536	38597	3	{n=0}
-199083	雅司	133121	38597	1	null
-199087	跳越	65536	36339	3	{v=0}
-199088	热那	112799	28909	1	null
-199090	水银	101020	27700	2	{n=0}
-199093	轮唱	65536	36718	3	{v=0}
-199096	结案	114384	32467	2	{v=3, vn=0}
-199102	落寞	65536	33853	3	{a=0}
-199105	菜牛	65536	33756	3	{n=2}
-199108	水锈	65536	27700	3	{n=0}
-199110	蒙面	65536	33945	3	{vn=1}
-199112	耳科	65536	32819	3	{n=1}
-199114	苦力	65536	33510	3	{n=0}
-199116	苦劝	65536	33510	3	{v=0}
-199118	苦功	126224	33510	2	{n=1}
-199120	脱榫	65536	33073	3	{v=0}
-199122	立等	119978	31435	1	null
-199124	绿洲	65536	32511	3	{n=5}
-199125	火警	65536	28779	3	{n=5}
-199128	积铢	108698	31215	1	null
-199132	电疗	108204	30005	2	{vn=0}
-199134	用量	65536	29992	3	{n=0}
-199136	水锤	65536	27700	3	{n=0}
-199138	苦劳	65536	33510	3	{n=0}
-199144	跳跃	131565	36339	2	{v=4, vd=0, vn=1}
-199150	笔路	65536	31508	3	{n=0}
-199151	肉用	105860	32905	1	null
-199159	等长	65536	31561	3	{v=0}
-199161	船埠	65536	33337	3	{n=0}
-199164	鼓乐	146608	40723	2	{n=0}
-199166	脚注	65536	33050	3	{n=0}
-199170	赤峰	131024	36196	2	{ns=1}
-199171	紫藤	65536	32043	3	{n=1}
-199174	震级	65536	38663	3	{n=3}
-199180	生石	106880	29983	1	null
-199184	装填	65536	35013	3	{v=0}
-199185	陆运	65536	38470	3	{n=0, v=0}
-199186	鼓书	65536	40723	3	{n=0}
-199188	补办	65536	34917	3	{v=0}
-199198	油麦	65536	27833	3	{n=0}
-199199	补助	115578	34917	2	{n=5, v=5, vn=8}
-199203	肉畜	65536	32905	3	{n=0}
-199206	经济部	105577	198474	2	{n=8}
-199207	细毛	110995	32454	2	{n=0}
-199224	雷州	65536	38647	3	{ns=4}
-199226	粗花	120835	31895	1	null
-199228	神户	116005	31070	2	{ns=0}
-199235	药具	65536	33647	3	{n=0}
-199236	药典	65536	33647	3	{n=0}
-199238	脱模	65536	33073	3	{v=1}
-199241	油黑	65536	27833	3	{z=1}
-199242	破译	65536	30772	3	{v=0}
-199248	海豚	102196	28023	2	{n=0}
-199250	维达	65536	32500	3	{nz=0}
-199251	言者	126704	35328	1	null
-199255	海象	65536	28023	3	{n=0}
-199258	言而	126710	35328	1	null
-199261	要子	65536	35201	3	{n=0}
-199263	迷茫	65536	36855	3	{a=0, an=1}
-199264	词宗	65536	35789	3	{n=0}
-199272	药农	65536	33647	3	{n=0}
-199274	等闲	121869	31561	2	{z=1}
-199275	耳穴	65536	32819	3	{n=0}
-199279	海豹	65536	28023	3	{n=1}
-199285	白文	65536	30333	3	{n=0, nr=0}
-199289	独身	106629	29420	2	{n=0}
-199295	白斑	106820	30333	2	{n=0}
-199296	细水	105376	32454	1	null
-199301	生硬	65536	29983	3	{a=2}
-199302	饭田	65536	39277	3	{nr=0}
-199307	美滋	116711	32654	1	null
-199309	皮面	65536	30382	3	{n=0}
-199312	离退	120093	31163	1	null
-199315	节拍	126308	33410	2	{n=3}
-199316	皮革	65536	30382	3	{n=2}
-199317	石灰	115403	30707	2	{n=2}
-199319	白斩	96489	30333	1	null
-199322	神投	114909	31070	1	null
-199327	皮靴	65536	30382	3	{n=0}
-199329	美满	65536	32654	3	{a=4, an=0}
-199332	水门	99916	27700	2	{n=0}
-199338	附笔	65536	38468	3	{n=0}
-199340	装备	65536	35013	3	{n=32, v=6, vn=2}
-199348	水闸	65536	27700	3	{n=0}
-199350	皮鞋	109783	30382	2	{n=7}
-199356	逃难	65536	36867	3	{v=0}
-199357	白族	65536	30333	3	{nz=8}
-199359	粗茶	114309	31895	1	null
-199360	要害	65536	35201	3	{n=7}
-199365	白旗	65536	30333	3	{n=0}
-199366	造次	65536	36896	3	{v=0}
-199369	茶具	65536	33590	3	{n=0}
-199372	相比	118222	30456	2	{v=72}
-199373	短舱	65536	30701	3	{n=0}
-199378	石炭	107083	30707	2	{n=0}
-199379	白日	116409	30333	2	{n=1}
-199383	齐藤	65536	40784	3	{nr=0}
-199384	皮鞭	65536	30382	3	{n=0}
-199385	精明	118185	31934	2	{a=0, an=1}
-199386	见不	127882	35265	1	null
-199388	热量	97177	28909	2	{n=1}
-199390	清规	105675	28165	2	{n=0}
-199395	见世	113604	35265	1	null
-199396	羊粪	65536	32650	3	{n=1}
-199397	细沙	65536	32454	3	{n=0}
-199399	红光	122289	32418	2	{nz=0}
-199403	肉瘤	65536	32905	3	{n=1}
-199406	茶农	65536	33590	3	{n=0}
-199409	苦参	65536	33510	3	{n=0}
-199410	降幂	65536	38477	3	{n=0}
-199413	降幅	65536	38477	3	{n=4}
-199416	红党	65536	32418	3	{n=0}
-199419	近况	65536	36817	3	{n=5}
-199420	药到	119450	33647	1	null
-199421	运钞	120646	36816	1	null
-199425	酸处	129653	37240	1	null
-199426	水陆	105256	27700	2	{n=2}
-199431	词尾	65536	35789	3	{n=0}
-199433	镇政	136941	38215	1	null
-199438	药剂	126904	33647	2	{n=2}
-199442	苦口	125942	33510	1	null
-199446	见义	131168	35265	1	null
-199453	海货	65536	28023	3	{n=0}
-199461	水险	65536	27700	3	{n=0}
-199462	编次	65536	32534	3	{v=0}
-199466	白昼	65536	30333	3	{n=6}
-199469	见习	130777	35265	2	{v=1, vn=0}
-199470	翻然	120638	32763	2	{d=0}
-199473	白晃	110801	30333	1	null
-199474	茶几	65536	33590	3	{n=3}
-199475	采录	65536	37319	3	{v=0, vn=0}
-199477	虚数	65536	34394	3	{n=0}
-199478	英模	65536	33521	3	{j=28, n=0}
-199481	红军	65536	32418	3	{j=0, n=33, nr=0}
-199484	独轮	97641	29420	1	null
-199492	船夫	121893	33337	2	{n=0}
-199493	麦乳	135882	40614	1	null
-199494	私股	65536	31169	3	{n=0}
-199495	补发	65536	34917	3	{v=1, vn=0}
-199497	解决	65536	35299	3	{v=662, vn=54}
-199500	虚文	65536	34394	3	{n=0}
-199501	船头	65536	33337	3	{s=2}
-199504	警力	65536	35686	3	{n=16}
-199505	解冻	65536	35299	3	{v=2, vn=1}
-199506	肥西	125056	32933	1	null
-199510	警务	131527	35686	2	{b=1, n=1}
-199511	管窥	117017	31649	2	{v=0}
-199515	见于	65536	35265	3	{v=1}
-199516	边民	65536	36793	3	{n=1}
-199517	表土	65536	34920	3	{n=0}
-199518	红净	65536	32418	3	{n=0}
-199519	运销	137372	36816	2	{v=4, vn=3}
-199522	轮回	65536	36718	3	{v=1, vn=0}
-199526	补台	65536	34917	3	{v=0}
-199527	药力	65536	33647	3	{n=0}
-199533	独辟	97933	29420	1	null
-199539	酸奶	65536	37240	3	{n=0}
-199541	肉皮	65536	32905	3	{n=0}
-199545	独辫	65536	29420	3	{b=1}
-199553	电眼	65536	30005	3	{n=0}
-199559	细活	65536	32454	3	{n=0}
-199560	直露	65536	30452	3	{a=1}
-199561	石煤	65536	30707	3	{n=0}
-199565	细流	65536	32454	3	{n=1}
-199566	见仁	117099	35265	1	null
-199570	震耳	136233	38663	1	null
-199571	近前	65536	36817	3	{f=0}
-199573	绝活	65536	32477	3	{n=1}
-199574	白暨	101052	30333	1	null
-199575	舞钢	124133	33310	2	{n=0}
-199579	破财	65536	30772	3	{v=0}
-199580	纸盒	65536	32440	3	{n=2}
-199582	破败	65536	30772	3	{v=0}
-199584	网袋	65536	32593	3	{n=0}
-199586	苦味	111817	33510	2	{n=1}
-199589	虚无	130898	34394	2	{b=1}
-199590	试想	65536	35797	3	{v=6}
-199596	苦命	65536	33510	3	{n=1}
-199601	皮领	65536	30382	3	{n=0}
-199602	破费	65536	30772	3	{v=0}
-199603	水雷	65536	27700	3	{n=0}
-199608	直面	65536	30452	3	{v=4, vd=0}
-199614	鼓倒	143046	40723	1	null
-199620	联展	65536	32852	3	{n=1, v=0, vn=1}
-199621	除却	65536	38500	3	{v=1}
-199623	红利	65536	32418	3	{n=0}
-199626	胡蜂	65536	32993	3	{n=0}
-199629	迷蒙	65536	36855	3	{a=0}
-199630	落差	65536	33853	3	{n=4}
-199636	生离	108148	29983	1	null
-199643	苏禄	118450	33487	1	null
-199646	积雨	120636	31215	1	null
-199648	积雪	65536	31215	3	{n=15}
-199653	海路	65536	28023	3	{n=1}
-199657	镇星	65536	38215	3	{n=0}
-199660	解剖	129209	35299	2	{v=4, vn=1}
-199663	警区	65536	35686	3	{n=2}
-199664	硬纸	113021	30828	1	null
-199666	细润	65536	32454	3	{a=0}
-199668	水霸	65536	27700	3	{n=0}
-199669	评戏	65536	35780	3	{n=0}
-199672	笔迹	65536	31508	3	{n=0}
-199680	脱毛	65536	33073	3	{v=0, vn=0}
-199681	跳远	65536	36339	3	{v=0, vn=0}
-199683	肉眼	65536	32905	3	{n=4}
-199685	白朗	65536	30333	3	{ns=0}
-199690	边沿	65536	36793	3	{f=0, n=0, p=2, s=0}
-199691	硬结	65536	30828	3	{n=0, v=0}
-199692	除去	65536	38500	3	{p=0, v=5}
-199697	鸟群	65536	40479	3	{n=0}
-199702	白木	104164	30333	1	null
-199708	邮寄	65536	37038	3	{v=0, vn=2}
-199710	水面	65536	27700	3	{f=1, n=17}
-199712	警卫	131243	35686	2	{n=8, v=1, vn=1}
-199713	药单	65536	33647	3	{n=0}
-199720	饭盒	65536	39277	3	{n=2}
-199728	水靴	65536	27700	3	{n=0}
-199731	解劝	65536	35299	3	{v=0}
-199733	落幕	65536	33853	3	{v=7, vn=0}
-199735	补品	65536	34917	3	{n=0}
-199736	电石	108400	30005	2	{n=0}
-199742	胡蝶	65536	32993	3	{n=0}
-199744	翻版	65536	32763	3	{n=2, vn=2}
-199746	菜瓜	65536	33756	3	{n=0}
-199750	电码	109657	30005	2	{n=5}
-199751	送丧	65536	36865	3	{v=0}
-199752	除号	65536	38500	3	{n=0}
-199753	直音	65536	30452	3	{n=0}
-199756	脱氧	126133	33073	2	{v=0}
-199758	药厂	65536	33647	3	{n=1}
-199759	白条	107510	30333	2	{n=5}
-199760	粉饰	119567	31881	2	{v=0, vn=0}
-199762	笔道	65536	31508	3	{n=0}
-199763	管管	65536	31649	3	{v=1}
-199764	菜瓮	65536	33756	3	{n=0}
-199766	白杨	110349	30333	2	{n=1}
-199769	脱水	126143	33073	2	{v=0, vn=0}
-199770	阳气	65536	38451	3	{n=0}
-199774	除名	65536	38500	3	{v=0, vn=0}
-199784	破路	114226	30772	1	null
-199786	省钱	65536	30465	3	{a=0, v=0}
-199787	茶匙	65536	33590	3	{n=0}
-199789	石版	109056	30707	2	{n=0}
-199791	货款	65536	36135	3	{n=2}
-199795	追兵	65536	36861	3	{n=0}
-199803	英武	65536	33521	3	{a=4}
-199815	落座	65536	33853	3	{v=4, vn=0}
-199818	白果	65536	30333	3	{n=3}
-199823	私自	65536	31169	3	{d=5}
-199824	结欠	65536	32467	3	{v=0}
-199827	节操	65536	33410	3	{n=1}
-199829	药叉	65536	33647	3	{n=0}
-199830	菜田	65536	33756	3	{n=2}
-199832	邮局	65536	37038	3	{n=15}
-199834	警句	65536	35686	3	{n=1}
-199843	红包	65536	32418	3	{n=10}
-199845	阳江	65536	38451	3	{ns=1}
-199846	空气	118785	31354	2	{n=36}
-199847	语次	65536	35821	3	{n=0}
-199852	警号	65536	35686	3	{n=1}
-199853	邮展	65536	37038	3	{j=9}
-199857	近卫	136474	36817	1	null
-199862	茶卤	65536	33590	3	{n=0}
-199875	鼻洼	145245	40763	1	null
-199876	送交	65536	36865	3	{v=6, vn=1}
-199881	该书	65536	35813	3	{r=23}
-199884	菜畦	65536	33756	3	{n=0}
-199886	虚有	130073	34394	1	null
-199890	送亲	65536	36865	3	{vn=0}
-199893	赤心	129840	36196	2	{n=0}
-199895	茶厅	65536	33590	3	{n=3}
-199898	送人	133311	36865	1	null
-199900	眼里	65536	30524	3	{s=14}
-199903	红十	123133	32418	1	null
-199904	隔间	65536	38548	3	{n=1}
-199909	阳沟	65536	38451	3	{n=0}
-199911	清词	110777	28165	1	null
-199912	细溜	115334	32454	1	null
-199913	跑表	65536	36305	3	{n=0}
-199918	隔阂	65536	38548	3	{n=4}
-199925	节支	65536	33410	3	{v=1, vn=0}
-199927	清话	65536	28165	3	{j=0}
-199928	红博	65536	32418	3	{nz=0}
-199929	追击	132837	36861	2	{v=2, vn=0}
-199931	蒙骗	65536	33945	3	{v=0}
-199935	警告	65536	35686	3	{n=1, v=23, vd=0, vn=10}
-199939	赤忱	65536	36196	3	{a=0, n=0}
-199942	电磁	113756	30005	2	{n=0}
-199945	红卫	122249	32418	1	null
-199947	这项	65536	36825	3	{r=103}
-199948	羊绒	110075	32650	2	{n=2}
-199949	警员	65536	35686	3	{n=0}
-199951	阳泉	138043	38451	2	{ns=1}
-199953	绿灯	65536	32511	3	{n=7}
-199954	磁鼓	65536	30913	3	{n=0}
-199955	石狮	65536	30707	3	{ns=0}
-199957	等额	105054	31561	1	null
-199964	鼻涕	65536	40763	3	{n=0}
-199965	该人	65536	35813	3	{n=2}
-199967	降息	65536	38477	3	{v=0}
-199970	清谈	65536	28165	3	{v=0}
-199976	舞阳	65536	33310	3	{ns=0, nz=1}
-199977	英气	65536	33521	3	{n=0}
-199981	电磨	65536	30005	3	{n=0}
-199983	立约	65536	31435	3	{v=0}
-199986	画论	65536	30011	3	{n=1}
-199990	白案	65536	30333	3	{n=0}
-199991	鞋行	65536	38795	3	{j=0}
-199992	省长	65536	30465	3	{n=91}
-199995	词干	65536	35789	3	{n=0}
-199999	药味	65536	33647	3	{n=0}
-200008	茶叶	122929	33590	2	{n=7}
-200009	虚构	65536	34394	3	{v=2, vn=0}
-200013	神效	65536	31070	3	{n=0}
-200020	白桦	110474	30333	2	{n=0}
-200022	虎耳	117192	34382	1	null
-200024	词序	65536	35789	3	{n=0}
-200028	词库	65536	35789	3	{n=0}
-200032	红参	65536	32418	3	{n=0}
-200036	海轮	65536	28023	3	{n=0}
-200037	画语	65536	30011	3	{n=2}
-200042	红双	121188	32418	1	null
-200044	画说	65536	30011	3	{v=1}
-200045	空泛	65536	31354	3	{a=3}
-200050	表头	65536	34920	3	{n=1}
-200051	白梅	65536	30333	3	{nz=0}
-200061	该会	65536	35813	3	{r=2}
-200062	精梳	110131	31934	1	null
-200065	红口	112772	32418	1	null
-200069	脚灯	65536	33050	3	{n=0}
-200071	鞋袜	65536	38795	3	{n=1}
-200077	药品	65536	33647	3	{n=54}
-200078	用长	98773	29992	1	null
-200080	红史	65536	32418	3	{n=1}
-200084	红叶	65536	32418	3	{n=5}
-200086	白梨	65536	30333	3	{n=0}
-200090	语气	132433	35821	2	{n=1}
-200092	联席	125852	32852	1	null
-200094	追加	65536	36861	3	{v=5, vn=0}
-200095	脚炉	65536	33050	3	{n=0}
-200096	科达	65536	31185	3	{nr=1, nz=0}
-200105	画谱	65536	30011	3	{n=0}
-200107	节日	65536	33410	3	{n=191}
-200108	阳浦	65536	38451	3	{ns=0}
-200111	海边	65536	28023	3	{s=7}
-200112	空洞	115119	31354	2	{a=3, n=0}
-200119	白棉	65536	30333	3	{n=1}
-200121	白棋	65536	30333	3	{n=5}
-200134	海运	106475	28023	2	{nz=0, v=0, vn=3}
-200140	科迪	120443	31185	1	null
-200141	语汇	65536	35821	3	{n=1}
-200142	羊羔	65536	32650	3	{n=3}
-200143	船家	65536	33337	3	{n=1}
-200148	百闻	117479	30334	1	null
-200149	火车	109493	28779	2	{n=28}
-200158	羊群	65536	32650	3	{n=1}
-200170	群魔	125118	32676	1	null
-200173	饭碗	65536	39277	3	{n=5}
-200175	虎背	121737	34382	2	{n=0}
-200177	病菌	65536	30149	3	{n=3}
-200179	羊羹	65536	32650	3	{n=0}
-200183	表妹	128879	34920	2	{n=3}
-200188	轮奸	65536	36718	3	{v=1, vn=0}
-200190	省际	65536	30465	3	{b=3, n=0}
-200192	电离	112466	30005	2	{n=0, v=0}
-200193	送信	137287	36865	1	null
-200194	经理	65536	32463	3	{n=55}
-200196	矿长	65536	30719	3	{n=1}
-200200	表姊	128740	34920	1	null
-200205	热销	96788	28909	2	{v=1, vn=1}
-200206	表姐	128890	34920	2	{n=0}
-200207	表姑	128883	34920	1	null
-200208	海通	65536	28023	3	{nz=0}
-200210	火辣	95543	28779	1	null
-200211	神明	65536	31070	3	{n=0}
-200221	麦克	128699	40614	1	null
-200225	见兔	113329	35265	1	null
-200230	表姨	128888	34920	2	{n=0}
-200235	词形	65536	35789	3	{n=0}
-200238	海逸	65536	28023	3	{nz=0}
-200239	肉票	65536	32905	3	{n=0}
-200242	纸票	65536	32440	3	{n=0}
-200246	水饺	65536	27700	3	{n=2}
-200249	美特	65536	32654	3	{nz=2}
-200250	硬脂	102278	30828	2	{n=0}
-200253	鲜牛	144384	40092	1	null
-200256	清账	65536	28165	3	{v=0}
-200260	问明	65536	38382	3	{v=0}
-200261	清贫	65536	28165	3	{a=4, an=1}
-200262	邮差	65536	37038	3	{n=0}
-200263	要强	65536	35201	3	{a=0}
-200265	考量	65536	32771	3	{v=2}
-200275	清费	102978	28165	2	{v=0}
-200276	鼓动	143918	40723	2	{v=2, vn=0}
-200277	试探	128740	35797	2	{v=3, vn=0}
-200279	船尾	65536	33337	3	{n=3}
-200282	邮市	65536	37038	3	{j=0, n=1}
-200283	语法	130201	35821	2	{n=0}
-200285	鼓励	145667	40723	2	{v=121, vn=14}
-200286	鼓劲	65536	40723	3	{v=5, vn=0}
-200287	百隆	65536	30334	3	{nz=0}
-200288	隔靴	137488	38548	1	null
-200302	麦农	65536	40614	3	{n=0}
-200307	罗田	123402	32599	2	{ns=0}
-200313	真菌	65536	30495	3	{n=1}
-200315	罗甸	123406	32599	1	null
-200318	麦冬	134209	40614	2	{n=0}
-200319	神智	65536	31070	3	{n=0}
-200324	肉禽	65536	32905	3	{n=0}
-200330	船山	128187	33337	1	null
-200334	火速	65536	28779	3	{d=8}
-200335	闹乱	138342	38393	1	null
-200339	静乐	142518	38745	2	{ns=0, nz=1}
-200349	那幅	65536	37027	3	{r=1}
-200350	雅士	65536	38597	3	{n=1}
-200352	画质	65536	30011	3	{n=1}
-200356	要得	65536	35201	3	{v=0}
-200357	硬腭	65536	30828	3	{n=0}
-200361	闹事	140413	38393	2	{v=0, vn=0}
-200365	雷打	143571	38647	1	null
-200382	饭票	65536	39277	3	{n=0}
-200384	震荡	65536	38663	3	{v=3, vn=4}
-200385	空港	65536	31354	3	{n=0}
-200387	羊肉	124982	32650	2	{n=14}
-200391	绝灭	65536	32477	3	{v=0}
-200392	胡言	126728	32993	2	{n=0}
-200394	私营	65536	31169	3	{b=44, n=0}
-200396	那年	65536	37027	3	{r=0, t=7}
-200403	见分	126178	35265	1	null
-200404	羊肚	110881	32650	1	null
-200407	追叙	65536	36861	3	{n=0, v=0}
-200409	相濡	118082	30456	1	null
-200410	羊肠	121435	32650	2	{n=0}
-200414	海部	65536	28023	3	{nr=0}
-200415	隔音	139653	38548	2	{v=0, vn=1}
-200418	飘尘	65536	39128	3	{n=0}
-200432	词性	65536	35789	3	{n=0}
-200434	节本	65536	33410	3	{n=0, v=0}
-200437	热门	96790	28909	2	{a=9, an=2}
-200438	见利	127839	35265	1	null
-200439	神曲	65536	31070	3	{n=0}
-200445	见到	65536	35265	3	{v=64}
-200448	表嫂	65536	34920	3	{n=0}
-200450	红啤	105905	32418	1	null
-200453	细点	65536	32454	3	{n=0}
-200454	热闹	94178	28909	2	{a=26, ad=0, an=2}
-200459	追名	121082	36861	1	null
-200473	编演	65536	32534	3	{v=0, vn=0}
-200476	背街	65536	32972	3	{n=1}
-200478	电站	65536	30005	3	{n=3}
-200487	藏龙	129378	34255	1	null
-200492	除四	139349	38500	1	null
-200493	经由	65536	32463	3	{p=6, v=0}
-200500	脱漏	65536	33073	3	{v=0}
-200501	陈米	65536	38472	3	{n=0}
-200508	羊脂	65536	32650	3	{n=1}
-200511	神机	117136	31070	1	null
-200512	脚爪	65536	33050	3	{n=0}
-200519	绝热	65536	32477	3	{v=0}
-200520	神权	65536	31070	3	{n=0}
-200521	美玉	65536	32654	3	{n=0}
-200524	贵贱	65536	36149	3	{n=2}
-200528	等高	109485	31561	1	null
-200533	石田	65536	30707	3	{nr=0}
-200537	电笔	65536	30005	3	{n=0}
-200541	赤手	123746	36196	1	null
-200546	翻番	65536	32763	3	{v=5, vn=0}
-200551	露脸	65536	38706	3	{v=2}
-200552	聚苯	126179	32858	1	null
-200553	私蓄	65536	31169	3	{n=0}
-200554	神来	120032	31070	1	null
-200557	用非	110616	29992	1	null
-200558	白檀	65536	30333	3	{n=8}
-200561	管线	65536	31649	3	{n=3}
-200562	麦加	65536	40614	3	{ns=8}
-200565	说一	133746	35828	1	null
-200566	采掘	65536	37319	3	{v=3, vn=2}
-200574	说三	116782	35828	1	null
-200578	说不	133764	35828	1	null
-200579	诗牌	65536	35799	3	{n=0}
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-203960	精短	65536	31934	3	{a=1}
-203962	联测	65536	32852	3	{v=0}
-203970	陈言	65536	38472	3	{n=4}
-203974	苦斗	65536	33510	3	{v=0}
-203975	补救	65536	34917	3	{v=2, vn=2}
-203978	精矿	65536	31934	3	{n=0}
-203990	石花	106073	30707	1	null
-203996	白矮	110923	30333	1	null
-203999	精研	110140	31934	1	null
-204002	货箱	65536	36135	3	{n=0}
-204006	轻取	65536	36731	3	{v=3}
-204012	白矾	65536	30333	3	{n=0}
-204014	附赘	137934	38468	1	null
-204016	白砂	105112	30333	2	{nr=0}
-204019	轻口	122505	36731	1	null
-204020	苦旅	65536	33510	3	{n=1}
-204023	见怪	132425	35265	2	{v=0}
-204025	背阴	123932	32972	2	{a=0, v=1}
-204026	该店	65536	35813	3	{r=3}
-204027	节电	65536	33410	3	{v=0, vn=0}
-204029	细纱	117233	32454	2	{n=0}
-204038	细纺	65536	32454	3	{n=0}
-204039	结算	65536	32467	3	{v=6, vn=13}
-204040	雷炮	65536	38647	3	{n=0}
-204043	财革	126630	36130	1	null
-204047	说定	65536	35828	3	{v=0}
-204050	细细	113320	32454	2	{ad=0, d=5}
-204051	说实	117943	35828	1	null
-204053	草字	126540	33609	2	{n=0}
-204054	石英	108373	30707	2	{n=2}
-204055	说客	65536	35828	3	{n=0}
-204057	跑题	65536	36305	3	{v=0}
-204063	菜薹	65536	33756	3	{n=0}
-204073	绝经	117729	32477	1	null
-204075	节略	65536	33410	3	{n=0}
-204080	神甫	65536	31070	3	{n=1}
-204084	立身	118693	31435	2	{v=1}
-204085	神田	118787	31070	2	{nr=0, ns=0}
-204088	装殓	65536	35013	3	{v=0}
-204089	精确	118366	31934	2	{a=8, ad=0, an=0}
-204090	那波	121621	37027	1	null
-204098	采煤	133033	37319	2	{v=1, vn=3}
-204099	胡须	65536	32993	3	{n=1}
-204101	走后	116845	36208	1	null
-204103	绿肥	124109	32511	2	{n=0}
-204104	走向	65536	36208	3	{n=6, v=123, vn=6}
-204105	雄姿	129721	38596	2	{n=2}
-204107	雄威	65536	38596	3	{n=0}
-204110	落潮	65536	33853	3	{v=0, vn=0}
-204114	硬通	103398	30828	1	null
-204117	纸袋	65536	32440	3	{n=0}
-204121	词源	65536	35789	3	{n=0}
-204130	英籍	65536	33521	3	{j=0}
-204133	船歌	65536	33337	3	{n=0}
-204138	电褥	112721	30005	1	null
-204146	绝缘	123838	32477	2	{v=1, vn=1}
-204155	科龙	65536	31185	3	{nz=9}
-204165	草寇	65536	33609	3	{n=0}
-204166	超假	65536	36229	3	{v=0}
-204168	竹马	65536	31481	3	{n=0}
-204169	轮椅	65536	36718	3	{n=11}
-204175	海龙	65536	28023	3	{n=0, nz=0}
-204180	石药	65536	30707	3	{j=0}
-204181	海龟	65536	28023	3	{n=3}
-204190	相约	65536	30456	3	{v=4}
-204192	送往	121283	36865	2	{v=1}
-204202	走味	65536	36208	3	{v=0}
-204208	相纸	65536	30456	3	{n=0}
-204210	说尽	65536	35828	3	{v=1}
-204214	该当	133247	35813	1	null
-204216	脑门	126358	33041	2	{n=0}
-204218	生计	65536	29983	3	{n=5}
-204220	见惯	132429	35265	1	null
-204224	铜像	65536	38108	3	{n=8}
-204225	除数	65536	38500	3	{n=0}
-204231	记账	128730	35760	2	{v=0, vn=0}
-204244	粗陋	65536	31895	3	{a=0}
-204248	管账	65536	31649	3	{v=0}
-204254	硬邦	102505	30828	1	null
-204255	相继	65536	30456	3	{d=46}
-204258	脚背	65536	33050	3	{n=0}
-204261	白磷	65536	30333	3	{n=0}
-204262	生词	65536	29983	3	{n=0}
-204264	聚酯	123647	32858	2	{n=0}
-204268	评理	65536	35780	3	{v=0}
-204279	鼓手	65536	40723	3	{n=1}
-204283	石菖	105119	30707	1	null
-204285	立轴	65536	31435	3	{n=0}
-204290	菜蚜	65536	33756	3	{n=0}
-204296	火龙	65536	28779	3	{n=0}
-204297	草屋	65536	33609	3	{n=4}
-204298	边线	65536	36793	3	{n=8}
-204299	电视	118764	30005	2	{n=231}
-204308	药效	65536	33647	3	{n=0}
-204309	脑际	65536	33041	3	{n=1}
-204318	背静	65536	32972	3	{a=0}
-204320	闹市	140428	38393	2	{n=4}
-204321	经营	124309	32463	2	{n=9, v=180, vn=344}
-204323	草履	114968	33609	1	null
-204325	背靠	113751	32972	1	null
-204327	背面	65536	32972	3	{f=3}
-204328	电解	109187	30005	2	{vn=0}
-204329	精神	118065	31934	2	{a=1, n=685, vn=0}
-204330	船民	65536	33337	3	{n=3}
-204332	脚脖	123797	33050	1	null
-204338	迷雾	65536	36855	3	{n=0}
-204339	美艳	65536	32654	3	{a=1}
-204340	铜元	65536	38108	3	{n=0}
-204344	除旧	138768	38500	1	null
-204346	资金	133626	36164	2	{n=510}
-204371	追捕	65536	36861	3	{v=1, vn=0}
-204373	鲜艳	144453	40092	2	{a=10}
-204374	闲散	65536	38386	3	{a=2, an=0}
-204376	配乐	65536	37197	3	{v=0, vn=0}
-204380	道不	133310	36947	1	null
-204381	造纸	138569	36896	2	{v=0, vn=2}
-204387	边缘	135735	36793	2	{b=1, n=10}
-204389	药料	65536	33647	3	{n=0}
-204395	脚腕	123802	33050	1	null
-204398	警方	65536	35686	3	{n=40}
-204416	陈设	65536	38472	3	{n=1, v=2, vn=0}
-204417	语系	65536	35821	3	{n=0}
-204421	药方	65536	33647	3	{n=15}
-204422	追授	65536	36861	3	{v=0}
-204423	编纂	65536	32534	3	{v=8, vn=1}
-204427	陈诉	65536	38472	3	{v=0}
-204429	羊道	65536	32650	3	{n=0}
-204431	陈词	134364	38472	1	null
-204432	结素	65536	32467	3	{n=0}
-204435	鲜花	147303	40092	2	{n=40}
-204440	道义	65536	36947	3	{n=2}
-204441	超党	127490	36229	1	null
-204449	管路	65536	31649	3	{n=0}
-204452	衣钩	65536	34915	3	{n=0}
-204453	美若	122255	32654	1	null
-204454	语素	65536	35821	3	{n=0}
-204460	轻喜	135593	36731	1	null
-204464	衣钵	121184	34915	2	{n=0}
-204468	节目	127100	33410	2	{n=174}
-204470	陈说	65536	38472	3	{v=0}
-204480	静幽	139789	38745	1	null
-204481	石蒜	65536	30707	3	{n=0}
-204487	节省	65536	33410	3	{v=31}
-204489	编组	113094	32534	2	{n=1, v=0, vn=1}
-204491	苦果	65536	33510	3	{n=5}
-204492	编织	109589	32534	2	{v=3, vn=2}
-204500	解放	137862	35299	2	{a=1, an=0, nr=0, nz=0, v=45, vn=32}
-204503	脑震	113522	33041	1	null
-204505	茶文	128040	33590	1	null
-204512	身上	65536	36523	3	{s=60}
-204513	身下	65536	36523	3	{n=1}
-204515	身不	126120	36523	1	null
-204519	解救	65536	35299	3	{v=8, vn=0}
-204524	身世	65536	36523	3	{n=5}
-204525	跑马	134446	36305	2	{v=0}
-204527	虎里	116470	34382	1	null
-204535	红教	65536	32418	3	{n=0}
-204537	解散	65536	35299	3	{v=4, vn=0}
-204542	配件	65536	37197	3	{n=8}
-204545	虚礼	65536	34394	3	{n=0}
-204549	除暴	139410	38500	1	null
-204550	解数	65536	35299	3	{n=1}
-204551	近旁	65536	36817	3	{f=0}
-204553	道人	65536	36947	3	{n=0}
-204554	身临	135281	36523	1	null
-204556	绝育	65536	32477	3	{v=0}
-204557	见所	126004	35265	1	null
-204559	鼓捣	65536	40723	3	{v=1}
-204560	身为	65536	36523	3	{v=1}
-204564	绿色	117545	32511	2	{n=57}
-204576	超凡	134627	36229	2	{a=0}
-204577	衣锦	114836	34915	1	null
-204586	细胞	124113	32454	2	{n=23}
-204587	近日	65536	36817	3	{t=154}
-204591	红斑	113741	32418	1	null
-204600	鼓掌	65536	40723	3	{v=5, vn=1}
-204601	超出	65536	36229	3	{v=17, vn=0}
-204603	生财	109303	29983	2	{v=2, vn=0}
-204612	轻嘴	122509	36731	1	null
-204613	野三	138865	37326	1	null
-204620	相联	65536	30456	3	{v=2, vn=0}
-204622	红新	116804	32418	1	null
-204625	集刊	65536	38598	3	{n=0}
-204626	相聚	65536	30456	3	{v=7, vn=0}
-204629	脱缰	127165	33073	1	null
-204637	雨声	65536	38632	3	{n=2}
-204645	耳轮	65536	32819	3	{n=0}
-204646	耳软	121419	32819	1	null
-204647	附近	65536	38468	3	{f=39, vn=0}
-204651	走嘴	65536	36208	3	{v=1}
-204655	石蕊	103295	30707	2	{n=0}
-204658	见报	65536	35265	3	{v=2, vn=1}
-204661	红旗	118022	32418	2	{n=13, nr=0, nz=1}
-204663	身亡	65536	36523	3	{v=11}
-204666	闲暇	65536	38386	3	{n=4}
-204673	露酒	65536	38706	3	{n=0}
-204675	鼻翼	65536	40763	3	{n=1}
-204680	路基	132301	36335	2	{n=3}
-204684	超前	130851	36229	2	{a=3, ad=3}
-204687	雄居	65536	38596	3	{v=0}
-204691	背风	123937	32972	2	{v=0}
-204692	飘泊	65536	39128	3	{v=0, vn=0}
-204694	雨天	65536	38632	3	{n=3}
-204710	雨夹	124806	38632	1	null
-204720	耳边	106828	32819	2	{s=2}
-204721	美菱	65536	32654	3	{nz=0}
-204722	路堤	131521	36335	2	{n=0}
-204725	近景	65536	36817	3	{n=1}
-204732	生趣	65536	29983	3	{n=1}
-204733	红星	116738	32418	2	{n=0, nz=2}
-204734	鲜菜	65536	40092	3	{n=6}
-204738	警服	65536	35686	3	{n=2}
-204742	要点	65536	35201	3	{n=7}
-204743	细腻	122824	32454	2	{a=8, ad=0, an=0}
-204744	茶晶	65536	33590	3	{n=1}
-204748	空缺	65536	31354	3	{n=1, v=4, vn=0}
-204749	身价	125809	36523	2	{n=1}
-204755	身份	120371	36523	2	{n=38}
-204757	飘洋	128578	39128	1	null
-204759	绿茵	122111	32511	2	{n=2}
-204760	绿茶	65536	32511	3	{n=1}
-204762	绿茸	110854	32511	1	null
-204763	试用	131660	35797	2	{v=1, vn=0}
-204764	飘洒	65536	39128	3	{a=0, v=3}
-204769	闹心	65536	38393	3	{vn=1}
-204770	赤狐	65536	36196	3	{n=0}
-204776	试电	121854	35797	1	null
-204777	陈货	65536	38472	3	{n=0}
-204779	草席	65536	33609	3	{n=0}
-204787	红晕	65536	32418	3	{n=1}
-204788	电讯	110853	30005	2	{j=0, n=15}
-204790	野人	65536	37326	3	{n=2}
-204795	草帽	116853	33609	2	{n=2}
-204800	空置	116068	31354	2	{v=6, vn=0}
-204806	静心	139376	38745	1	null
-204808	生路	65536	29983	3	{n=1}
-204810	编者	119194	32534	2	{n=28}
-204811	飘流	65536	39128	3	{v=0}
-204813	绿荫	110339	32511	2	{n=1}
-204817	铜匠	65536	38108	3	{n=0}
-204821	走回	132391	36208	1	null
-204828	药材	125406	33647	2	{n=9}
-204830	记载	65536	35760	3	{n=5, v=10, vn=2}
-204834	电话	116475	30005	2	{n=234}
-204841	身体	135009	36523	2	{n=76}
-204853	闲杂	141488	38386	2	{b=0}
-204856	飘浮	65536	39128	3	{v=2}
-204863	虚空	65536	34394	3	{a=1}
-204864	细致	122828	32454	2	{a=17, ad=0, an=0}
-204867	结结	119911	32467	1	null
-204868	静态	65536	38745	3	{n=1}
-204869	雄峻	137844	38596	1	null
-204872	管辖	120870	31649	2	{v=29, vn=4}
-204875	精简	65536	31934	3	{a=0, v=11, vn=1}
-204881	草库	129119	33609	1	null
-204883	草底	65536	33609	3	{n=0}
-204885	脑颅	65536	33041	3	{n=0}
-204891	绿莹	110736	32511	1	null
-204895	警枪	65536	35686	3	{n=0}
-204897	药枕	65536	33647	3	{n=0}
-204898	精算	118548	31934	2	{n=2}
-204901	近期	65536	36817	3	{n=0, t=38}
-204904	记过	65536	35760	3	{n=0, v=0, vn=0}
-204915	草庵	65536	33609	3	{n=0}
-204926	配偶	65536	37197	3	{n=16}
-204932	结缔	111517	32467	1	null
-204934	装满	65536	35013	3	{v=0}
-204935	病院	65536	30149	3	{n=0}
-204936	结缘	65536	32467	3	{v=3, vn=1}
-204937	苦楚	65536	33510	3	{n=1}
-204938	除根	65536	38500	3	{v=0}
-204942	病险	65536	30149	3	{a=0}
-204943	短音	65536	30701	3	{n=0}
-204945	记述	65536	35760	3	{v=7, vn=2}
-204953	酸溜	131062	37240	1	null
-204955	轻型	134326	36731	2	{b=3}
-204963	该所	65536	35813	3	{n=0, r=10}
-204971	近来	65536	36817	3	{d=19, t=5}
-204975	绿萍	65536	32511	3	{n=0}
-204976	血小	124909	34880	1	null
-204979	逆转	65536	36870	3	{v=2, vn=1}
-204988	警标	65536	35686	3	{n=0}
-204992	脱肛	65536	33073	3	{n=0}
-204993	茶杯	65536	33590	3	{n=1}
-204997	送报	65536	36865	3	{v=3}
-204998	红木	65536	32418	3	{n=0}
-204999	静悄	139280	38745	1	null
-205006	细节	65536	32454	3	{n=10}
-205012	绝艺	65536	32477	3	{n=2}
-205019	鼻腔	65536	40763	3	{n=0}
-205027	闹情	129246	38393	1	null
-205028	耳郭	65536	32819	3	{n=0}
-205031	红杉	65536	32418	3	{n=0}
-205043	脱胎	121774	33073	2	{v=1, vn=6}
-205051	粗饲	116444	31895	1	null
-205060	飘渺	65536	39128	3	{a=1}
-205061	管道	118135	31649	2	{n=21}
-205062	采用	65536	37319	3	{v=109, vn=3}
-205063	装潢	113548	35013	2	{n=8, v=0, vn=0}
-205064	该报	65536	35813	3	{r=5}
-205068	说得	127313	35828	1	null
-205069	肉豆	112246	32905	1	null
-205071	苦槠	65536	33510	3	{n=0}
-205073	画龙	107380	30011	1	null
-205074	追昔	132761	36861	1	null
-205075	绿葱	110553	32511	1	null
-205077	词牌	65536	35789	3	{n=2}
-205078	雅正	65536	38597	3	{v=0}
-205079	逆运	126565	36870	1	null
-205083	脱胶	65536	33073	3	{vn=0}
-205084	红松	115224	32418	2	{n=0}
-205085	追星	131947	36861	1	null
-205087	红极	123221	32418	1	null
-205094	解析	131676	35299	2	{v=0}
-205095	脱脂	126162	33073	2	{v=0}
-205101	闹意	134070	38393	1	null
-205106	空肠	65536	31354	3	{n=0}
-205114	红果	65536	32418	3	{ns=0}
-205117	竹鸡	65536	31481	3	{n=0}
-205121	红枣	65536	32418	3	{n=2}
-205126	石蜡	65536	30707	3	{n=1}
-205135	集合	141812	38598	2	{n=0, v=4, vn=0}
-205138	雄师	65536	38596	3	{n=2}
-205153	白米	97794	30333	2	{n=2}
-205155	茶树	65536	33590	3	{n=0}
-205157	警械	65536	35686	3	{n=0}
-205159	相良	65536	30456	3	{nr=0}
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-205164	飘溢	65536	39128	3	{v=0}
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-205175	白粉	106930	30333	2	{n=1}
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-205182	电费	65536	30005	3	{n=19}
-205183	电贺	65536	30005	3	{v=0}
-205186	警棍	65536	35686	3	{n=0}
-205188	精粹	65536	31934	3	{a=0, an=2}
-205191	进一	129998	36827	1	null
-205193	精精	109358	31934	1	null
-205196	药检	65536	33647	3	{j=1}
-205199	雷电	143429	38647	2	{n=0}
-205201	红柳	65536	32418	3	{n=0}
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-205205	药棉	65536	33647	3	{n=0}
-205207	超员	65536	36229	3	{v=1, vn=1}
-205208	道光	65536	36947	3	{nr=1, nz=0, t=0}
-205214	茶桌	65536	33590	3	{n=1}
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-205218	生辉	65536	29983	3	{v=3}
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-205238	联片	65536	32852	3	{vd=2, vn=0}
-205244	要犯	65536	35201	3	{n=0}
-205246	试看	65536	35797	3	{v=0}
-205252	白糖	65536	30333	3	{n=0}
-205253	轮流	65536	36718	3	{v=6, vd=5, vn=1}
-205254	道具	65536	36947	3	{n=7}
-205256	茶桶	65536	33590	3	{n=2}
-205257	生辰	65536	29983	3	{n=1}
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-205263	降生	65536	38477	3	{v=1, vn=0}
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-205267	苏轼	65536	33487	3	{n=0, nr=0}
-205269	红样	65536	32418	3	{n=0}
-205270	虎钳	65536	34382	3	{n=0}
-205277	神秘	119255	31070	2	{a=15, ad=0, an=1}
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-205294	赤瓜	124139	36196	1	null
-205295	肉质	65536	32905	3	{n=3}
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-205298	纸质	65536	32440	3	{n=0}
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-205315	红桥	121888	32418	2	{ns=0}
-205320	麦收	65536	40614	3	{v=2, vn=0}
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-205328	结肠	115161	32467	2	{n=0}
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-205333	见效	65536	35265	3	{a=7, an=0, v=0, vn=0}
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-205342	身先	133397	36523	1	null
-205343	肉赘	65536	32905	3	{n=0}
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-205350	见教	65536	35265	3	{n=0}
-205352	细菜	65536	32454	3	{n=0}
-205354	追本	126665	36861	1	null
-205356	茶棚	65536	33590	3	{n=0}
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-205374	配制	65536	37197	3	{v=3}
-205377	进人	136649	36827	1	null
-205380	红梦	116192	32418	1	null
-205385	道出	65536	36947	3	{v=0}
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-205415	红棉	65536	32418	3	{n=0}
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-205418	老三	121773	32769	2	{n=3}
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-205423	软体	135397	36719	1	null
-205430	迷魂	130205	36855	1	null
-205433	结脉	65536	32467	3	{n=0}
-205434	道别	65536	36947	3	{v=4}
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-205438	进价	65536	36827	3	{n=0}
-205441	衣领	65536	34915	3	{n=2}
-205444	雄强	65536	38596	3	{a=0, an=1}
-205445	老两	123927	32769	1	null
-205446	见方	65536	35265	3	{m=0}
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-205456	野兔	65536	37326	3	{n=0}
-205463	脱色	126160	33073	2	{v=0}
-205468	老主	106373	32769	1	null
-205469	绿藻	65536	32511	3	{n=0}
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-205471	空舍	113056	31354	1	null
-205475	脑髓	65536	33041	3	{n=0}
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-205479	脱节	65536	33073	3	{v=4, vn=3}
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-205487	雨层	143328	38632	1	null
-205490	陈述	141282	38472	2	{v=6, vn=1}
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-205502	老九	65536	32769	3	{n=0}
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-205530	衣食	131363	34915	2	{n=2}
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-205546	神童	65536	31070	3	{n=0}
-205549	老二	65536	32769	3	{n=2}
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-205573	老交	120639	32769	1	null
-205579	虎门	122652	34382	2	{ns=2}
-205580	结膜	115163	32467	2	{n=0}
-205581	雄心	142067	38596	2	{n=5}
-205587	老亲	65536	32769	3	{n=0}
-205590	齐鸣	65536	40784	3	{v=3}
-205593	神笔	65536	31070	3	{n=2}
-205594	红楼	116408	32418	2	{n=1, nz=2}
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-205611	鼓板	65536	40723	3	{n=0}
-205613	鸟雀	65536	40479	3	{n=0}
-205615	装熊	65536	35013	3	{v=0}
-205620	血库	65536	34880	3	{n=0}
-205623	追根	126675	36861	2	{v=0}
-205626	红榜	65536	32418	3	{n=0}
-205631	聚集	126293	32858	2	{v=26, vn=1}
-205636	短骨	65536	30701	3	{n=0}
-205650	表演	131550	34920	2	{n=2, v=39, vn=70}
-205657	铜器	65536	38108	3	{n=0}
-205666	货舱	65536	36135	3	{n=0}
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-205697	还魂	65536	36824	3	{v=0}
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-205701	精纺	65536	31934	3	{b=1}
-205706	问答	122545	38382	2	{v=1, vn=2}
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-205711	赤白	124942	36196	1	null
-205712	老伯	125144	32769	2	{n=6}
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-205714	背鳍	65536	32972	3	{n=0}
-205717	老伴	124618	32769	2	{n=24}
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-205724	神算	65536	31070	3	{vn=0}
-205731	货色	65536	36135	3	{n=1}
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-205741	起义	134466	36215	2	{v=2, vn=2}
-205742	立锥	121449	31435	1	null
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-205749	除此	142824	38500	1	null
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-205788	雅温	138811	38597	1	null
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-206250	解气	65536	35299	3	{v=0}
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-206255	野味	65536	37326	3	{n=1}
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-206286	闹新	136588	38393	1	null
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-206334	自从	65536	33258	3	{p=19}
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-206347	茶油	65536	33590	3	{n=0}
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-206355	行事	65536	34892	3	{n=0, v=7}
-206356	电量	65536	30005	3	{n=2}
-206357	自以	127506	33258	1	null
-206361	行云	123536	34892	1	null
-206369	软包	121550	36719	1	null
-206383	超声	127599	36229	2	{n=0}
-206386	软化	126417	36719	2	{v=2}
-206387	茶泡	110045	33590	1	null
-206392	肉酱	65536	32905	3	{n=0}
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-206396	耳际	65536	32819	3	{n=0}
-206400	药浴	65536	33647	3	{n=0, v=0}
-206401	装璜	65536	35013	3	{n=0}
-206402	行人	65536	34892	3	{n=22}
-206404	粗麻	118389	31895	1	null
-206407	铜奖	65536	38108	3	{n=0}
-206409	美誉	65536	32654	3	{n=8}
-206414	联盟	125287	32852	2	{j=0, n=101, nt=0, v=0, vn=0}
-206416	自传	127229	33258	2	{n=3, v=0}
-206417	红河	119191	32418	1	null
-206419	纸醉	106171	32440	1	null
-206420	试管	130208	35797	2	{n=1}
-206438	超大	133063	36229	2	{a=1, b=1, v=1}
-206443	解法	65536	35299	3	{n=1}
-206444	节约	65536	33410	3	{ad=0, v=40, vd=0, vn=2}
-206446	集大	138206	38598	1	null
-206448	配器	65536	37197	3	{v=1}
-206455	衣鱼	65536	34915	3	{n=0}
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-206462	药液	65536	33647	3	{n=0}
-206467	软卧	65536	36719	3	{n=0}
-206468	该校	65536	35813	3	{r=25}
-206476	自作	127516	33258	1	null
-206481	老到	65536	32769	3	{a=0, an=1}
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-206489	罗赖	105325	32599	1	null
-206491	虚胖	65536	34394	3	{n=1}
-206493	进化	136017	36827	2	{v=1, vn=2}
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-206507	该案	65536	35813	3	{r=7}
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-206511	选中	65536	36873	3	{v=2}
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-206521	血战	65536	34880	3	{n=1, v=0}
-206525	近海	65536	36817	3	{s=4}
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-206539	自供	65536	33258	3	{v=0}
-206542	说教	65536	35828	3	{v=0, vn=0}
-206548	神经	127553	31070	2	{n=5}
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-206553	起兵	65536	36215	3	{vn=0}
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-206571	轮牧	65536	36718	3	{v=0}
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-206581	轻工	136719	36731	2	{j=0, n=9}
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-206591	老办	117567	32769	1	null
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-206599	行使	65536	34892	3	{v=36, vn=0}
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-206609	自信	123033	33258	2	{a=3, an=1, n=0, v=7, vn=1}
-206610	路径	134344	36335	2	{n=0}
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-206616	苏铁	122416	33487	2	{n=0}
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-206622	自修	65536	33258	3	{v=0}
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-206627	经货	111020	32463	1	null
-206629	饭量	65536	39277	3	{n=0}
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-206644	经贸	120882	32463	2	{j=133, vn=0}
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-206649	老勘	65536	32769	3	{n=0}
-206650	精良	65536	31934	3	{a=3, an=0}
-206652	选人	65536	36873	3	{v=0}
-206656	追求	65536	36861	3	{v=60, vn=29}
-206658	进去	65536	36827	3	{v=17}
-206660	红润	65536	32418	3	{a=1}
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-206665	船田	65536	33337	3	{nr=0}
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-206676	装疯	130595	35013	1	null
-206679	草料	65536	33609	3	{n=1}
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-206692	真鲷	65536	30495	3	{n=0}
-206698	进口	135931	36827	2	{n=0, v=49, vn=83}
-206711	老化	65536	32769	3	{v=5, vn=1}
-206715	白芍	65536	30333	3	{n=0}
-206716	雨意	65536	38632	3	{n=0}
-206717	选任	65536	36873	3	{v=0}
-206719	道地	65536	36947	3	{b=0}
-206721	起初	65536	36215	3	{d=3, t=0}
-206722	翻越	65536	32763	3	{v=1}
-206723	说明	133707	35828	2	{n=6, v=100, vn=10}
-206727	白芙	103099	30333	1	null
-206729	道场	65536	36947	3	{n=1}
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-206740	起到	65536	36215	3	{v=1}
-206744	生长	109325	29983	2	{v=37, vn=8}
-206746	选优	130085	36873	1	null
-206747	老区	124279	32769	2	{n=35}
-206750	退亲	65536	36864	3	{v=0}
-206751	白花	103642	30333	2	{n=0}
-206752	问罪	65536	38382	3	{v=0}
-206756	说是	65536	35828	3	{v=20}
-206757	花丛	65536	33457	3	{n=0}
-206759	花丝	65536	33457	3	{n=0}
-206760	软和	65536	36719	3	{a=0}
-206772	露馅	65536	38706	3	{v=0}
-206774	轻度	65536	36731	3	{b=0, d=2}
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-206779	白苍	103608	30333	1	null
-206780	精英	65536	31934	3	{n=7}
-206789	表率	65536	34920	3	{n=20}
-206791	鼻血	65536	40763	3	{n=0}
-206792	美谈	65536	32654	3	{n=0}
-206794	解渴	65536	35299	3	{a=1, v=0}
-206795	虎骨	113660	34382	2	{n=1}
-206804	零七	142661	38646	1	null
-206807	翻跟	122539	32763	1	null
-206808	酸痛	65536	37240	3	{a=0}
-206812	零下	65536	38646	3	{s=32}
-206816	硬骨	116708	30828	1	null
-206818	自傲	65536	33258	3	{a=0}
-206821	造血	136140	36896	2	{v=12, vn=1}
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-206830	表现	130580	34920	2	{n=1, v=162, vn=62}
-206841	退伍	137188	36864	2	{v=7, vn=5}
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-206845	退休	121908	36864	2	{v=35, vd=0, vn=17}
-206848	鬼剃	144223	39740	1	null
-206849	走廊	65536	36208	3	{n=29}
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-206859	生闲	108023	29983	1	null
-206860	起动	128942	36215	2	{v=0, vn=0}
-206861	造表	65536	36896	3	{v=1}
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-206870	起劲	65536	36215	3	{a=1}
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-206873	白茫	103518	30333	1	null
-206892	老友	65536	32769	3	{n=1}
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-206913	铜子	65536	38108	3	{n=0}
-206914	零乱	65536	38646	3	{a=0, an=1}
-206917	老古	111541	32769	1	null
-206920	见死	132446	35265	1	null
-206924	美貌	65536	32654	3	{n=0}
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-206929	神职	119959	31070	1	null
-206938	落空	65536	33853	3	{v=0}
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-206960	选修	122371	36873	2	{v=0}
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-207001	走形	130900	36208	1	null
-207003	露马	130694	38706	1	null
-207008	白莲	111156	30333	2	{n=12}
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-207099	轻快	65536	36731	3	{a=2, ad=0}
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-207116	红潮	65536	32418	3	{n=0}
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-207384	该段	65536	35813	3	{r=6}
-207387	说梦	117970	35828	1	null
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-207392	道姑	65536	36947	3	{n=0}
-207397	那种	65536	37027	3	{r=59}
-207400	起哄	65536	36215	3	{v=0, vn=0}
-207405	电门	65536	30005	3	{n=0}
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-207408	行动	65536	34892	3	{v=36, vn=245}
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-207412	送气	119202	36865	2	{v=0}
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-207418	联立	120073	32852	1	null
-207420	麦浪	65536	40614	3	{n=1}
-207421	电闸	65536	30005	3	{n=0}
-207422	连体	65536	36830	3	{n=2}
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-207432	节节	115475	33410	1	null
-207438	车厢	65536	36710	3	{n=6}
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-207442	野外	135683	37326	2	{s=11}
-207451	饭锅	65536	39277	3	{n=0}
-207457	退兵	65536	36864	3	{v=0}
-207474	轻慢	65536	36731	3	{vn=0}
-207479	神色	106873	31070	2	{n=4}
-207480	铺衬	65536	38138	3	{n=0}
-207481	红烛	65536	32418	3	{n=2}
-207484	选出	65536	36873	3	{v=11, vn=0}
-207488	电阻	114019	30005	2	{n=0}
-207489	自卑	122725	33258	2	{a=0}
-207491	解热	65536	35299	3	{v=0, vn=0}
-207493	红烧	110321	32418	2	{b=0}
-207494	自卖	114331	33258	1	null
-207495	草棉	65536	33609	3	{n=0}
-207500	选刊	65536	36873	3	{n=1}
-207501	行包	65536	34892	3	{j=1}
-207504	鸟鸣	65536	40479	3	{n=0}
-207505	采纳	65536	37319	3	{v=8, vn=0}
-207512	草棚	65536	33609	3	{n=5}
-207514	雨搭	65536	38632	3	{n=3}
-207515	自卫	126721	33258	2	{v=0, vd=0, vn=4}
-207517	白薯	65536	30333	3	{n=0}
-207521	相让	65536	30456	3	{v=0}
-207523	车号	65536	36710	3	{n=1}
-207527	软型	65536	36719	3	{b=1}
-207528	自卸	114257	33258	1	null
-207530	鬼哭	137627	39740	1	null
-207533	近照	65536	36817	3	{n=0}
-207534	酸碱	135159	37240	1	null
-207540	红焖	102747	32418	2	{v=0}
-207547	表白	65536	34920	3	{v=0}
-207550	相识	65536	30456	3	{n=0, v=7, vn=0}
-207553	进场	65536	36827	3	{n=0, v=4}
-207555	行医	65536	34892	3	{v=7, vn=3}
-207559	软垫	65536	36719	3	{n=0}
-207561	花儿	65536	33457	3	{n=6}
-207566	铜川	136586	38108	2	{ns=0}
-207570	白藤	65536	30333	3	{n=0}
-207572	脚趾	124343	33050	2	{n=1}
-207573	身姿	65536	36523	3	{n=1}
-207575	钢包	65536	38050	3	{n=0}
-207578	诗趣	65536	35799	3	{n=0}
-207590	退出	65536	36864	3	{v=21, vn=0}
-207592	钢化	130656	38050	1	null
-207596	表皮	65536	34920	3	{n=4}
-207602	铜币	65536	38108	3	{n=0}
-207604	采编	65536	37319	3	{j=0, v=0, vn=1}
-207605	脚跟	65536	33050	3	{n=4}
-207606	血晕	65536	34880	3	{n=0}
-207617	自发	122981	33258	2	{b=2, d=20}
-207618	红煤	65536	32418	3	{n=0}
-207619	装神	127608	35013	1	null
-207622	自取	118820	33258	1	null
-207624	自变	121637	33258	1	null
-207625	自叙	65536	33258	3	{n=8}
-207626	耳鬓	124530	32819	1	null
-207631	罗里	112264	32599	1	null
-207632	零儿	65536	38646	3	{n=0}
-207635	药片	65536	33647	3	{n=4}
-207636	自古	127418	33258	2	{d=2}
-207638	表盘	65536	34920	3	{n=0}
-207653	脚踏	123727	33050	1	null
-207654	花农	65536	33457	3	{n=2}
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-207658	花冠	65536	33457	3	{n=0}
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-207667	脚踝	65536	33050	3	{n=0}
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-207669	药物	126224	33647	2	{n=30}
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-207676	白虎	114881	30333	1	null
-207681	超市	65536	36229	3	{n=15}
-207682	钢印	65536	38050	3	{n=0}
-207684	词类	65536	35789	3	{n=0}
-207686	虎鸣	65536	34382	3	{r=1}
-207689	集市	127166	38598	2	{n=8}
-207701	进城	65536	36827	3	{v=16, vn=1}
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-207707	轻手	119973	36731	1	null
-207713	警犬	65536	35686	3	{n=0}
-207716	造访	65536	36896	3	{v=3, vn=1}
-207720	软塌	133973	36719	1	null
-207721	自吹	114363	33258	1	null
-207727	白蚁	65536	30333	3	{n=0}
-207730	细账	65536	32454	3	{n=2}
-207735	超常	120214	36229	2	{v=0, vd=0, vn=0}
-207738	自告	124769	33258	1	null
-207740	问荆	65536	38382	3	{n=0}
-207742	美达	65536	32654	3	{nz=3}
-207745	船票	65536	33337	3	{n=0}
-207746	脚蹬	123806	33050	1	null
-207748	相貌	65536	30456	3	{n=2}
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-207752	造诣	65536	36896	3	{n=1}
-207756	警狗	65536	35686	3	{n=0}
-207762	脚蹼	65536	33050	3	{n=0}
-207771	钢叉	65536	38050	3	{n=0}
-207775	道子	65536	36947	3	{n=0}
-207776	装移	125522	35013	1	null
-207781	静止	65536	38745	3	{v=0, vn=0}
-207783	编订	65536	32534	3	{v=0}
-207786	邮筒	65536	37038	3	{n=0}
-207789	自命	127653	33258	2	{v=0}
-207796	赤红	65536	36196	3	{z=0}
-207797	道学	135185	36947	2	{n=0}
-207804	选区	65536	36873	3	{n=8}
-207806	自咎	65536	33258	3	{v=0}
-207816	造谣	138539	36896	2	{v=0}
-207817	聚齐	65536	32858	3	{v=0}
-207820	走投	129156	36208	1	null
-207821	血本	125340	34880	2	{n=0}
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-207830	编译	122429	32534	2	{n=0, v=0, vn=0}
-207831	花前	122234	33457	1	null
-207832	路摊	65536	36335	3	{n=0}
-207835	花剑	65536	33457	3	{n=0}
-207845	超度	65536	36229	3	{v=0}
-207849	词素	65536	35789	3	{n=0}
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-207865	红牛	116751	32418	1	null
-207866	零利	133933	38646	1	null
-207872	编读	65536	32534	3	{j=1}
-207873	配对	65536	37197	3	{v=1, vn=0}
-207874	退化	65536	36864	3	{v=5, vn=3}
-207877	道家	65536	36947	3	{n=0}
-207878	鸟龙	65536	40479	3	{n=0}
-207881	邮箱	65536	37038	3	{n=3}
-207883	苦瓜	65536	33510	3	{n=1}
-207887	白蜡	110489	30333	2	{n=0}
-207892	脱误	65536	33073	3	{n=0}
-207903	虚虚	127484	34394	1	null
-207910	身子	116598	36523	2	{n=10}
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-207928	雄森	65536	38596	3	{nz=0}
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-207960	选取	65536	36873	3	{v=4}
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-207973	鼓点	65536	40723	3	{n=2}
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-207986	进士	65536	36827	3	{n=0}
-207988	赶锥	65536	36214	3	{n=0}
-207991	静水	142604	38745	1	null
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-207997	阳谷	140684	38451	2	{ns=0}
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-208003	边贸	65536	36793	3	{j=0, n=5}
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-208018	该港	65536	35813	3	{r=2}
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-208082	药理	126225	33647	2	{n=0}
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-208095	轻描	128577	36731	1	null
-208099	道岔	65536	36947	3	{n=0}
-208100	老境	65536	32769	3	{n=1}
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-208122	退后	65536	36864	3	{v=0}
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-208155	身居	65536	36523	3	{v=0}
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-208177	落网	65536	33853	3	{v=1}
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-208192	诗选	65536	35799	3	{n=0}
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-208250	花台	65536	33457	3	{n=0}
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-208269	词组	65536	35789	3	{n=0}
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-208286	酸管	65536	37240	3	{n=1}
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-208315	细软	65536	32454	3	{a=0, n=0}
-208322	药瓶	65536	33647	3	{n=0}
-208329	词缀	65536	35789	3	{n=0}
-208330	铺设	65536	38138	3	{v=7, vn=1}
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-208343	老奶	122549	32769	1	null
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-208358	车场	65536	36710	3	{n=1}
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-208364	花呢	65536	33457	3	{n=2}
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-208371	补白	65536	34917	3	{n=3}
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-208388	雨林	65536	38632	3	{n=0}
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-208405	赶集	135104	36214	2	{v=3, vn=1}
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-208439	车型	65536	36710	3	{n=3}
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-208473	英资	65536	33521	3	{j=0}
-208476	轻敌	65536	36731	3	{v=0}
-208483	药疗	65536	33647	3	{n=1}
-208484	联绵	122746	32852	1	null
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-208496	绿野	65536	32511	3	{n=0}
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-208513	远处	65536	36828	3	{s=6}
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-208571	草泽	65536	33609	3	{n=0}
-208573	红生	65536	32418	3	{n=0}
-208576	联网	65536	32852	3	{v=16, vd=0, vn=12}
-208580	石钟	119018	30707	1	null
-208584	解甲	128241	35299	1	null
-208585	相近	65536	30456	3	{a=4, an=0}
-208592	脱身	65536	33073	3	{v=0}
-208597	红男	110725	32418	1	null
-208598	相连	65536	30456	3	{v=15, vn=0}
-208600	试营	133378	35797	1	null
-208602	钢圈	65536	38050	3	{n=0}
-208603	连台	131264	36830	1	null
-208604	饭馆	65536	39277	3	{n=8}
-208605	连史	125241	36830	1	null
-208606	领会	65536	39046	3	{v=16, vn=0}
-208609	联署	65536	32852	3	{v=0}
-208614	石铁	65536	30707	3	{n=1}
-208616	西丰	65536	35199	3	{ns=0}
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-208631	连同	65536	36830	3	{d=0, p=3}
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-208750	邮编	65536	37038	3	{j=3}
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-209799	老弦	65536	32769	3	{n=0}
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-209804	调入	65536	35843	3	{v=11, vn=0}
-209806	行将	65536	34892	3	{d=1}
-209810	老弱	118018	32769	1	null
-209812	联营	124753	32852	2	{v=1, vn=1}
-209818	领取	65536	39046	3	{v=20, vn=0}
-209819	领受	65536	39046	3	{v=2}
-209820	调兵	116966	35843	1	null
-209821	遗业	65536	36951	3	{n=0}
-209826	调养	65536	35843	3	{v=0}
-209831	领口	65536	39046	3	{n=0}
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-209844	老当	115145	32769	1	null
-209847	顶刮	143546	39030	1	null
-209851	石首	115044	30707	2	{ns=0}
-209856	行尸	115319	34892	1	null
-209863	走檐	116126	36208	1	null
-209867	细长	65536	32454	3	{z=0}
-209870	西化	65536	35199	3	{v=9}
-209871	西北	131229	35199	2	{f=13, ns=4, s=15}
-209872	警笛	130078	35686	2	{n=1}
-209873	食变	139365	39135	1	null
-209875	闲章	65536	38386	3	{n=1}
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-209885	食古	145531	39135	1	null
-209886	装船	115813	35013	2	{v=1}
-209890	神话	65536	31070	3	{n=16}
-209893	问讯	138827	38382	2	{v=0}
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-209897	遗书	65536	36951	3	{n=0}
-209898	酸臭	65536	37240	3	{z=0}
-209902	起床	133881	36215	2	{v=2}
-209906	西区	65536	35199	3	{n=1, ns=0}
-209907	西医	65536	35199	3	{n=2}
-209910	调减	65536	35843	3	{v=2, vn=0}
-209917	诗集	65536	35799	3	{n=2}
-209920	问诊	65536	38382	3	{v=0}
-209922	西半	122415	35199	1	null
-209926	西华	130680	35199	2	{ns=0}
-209927	连夜	65536	36830	3	{d=11}
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-209933	西单	65536	35199	3	{ns=14}
-209934	遗事	65536	36951	3	{n=0}
-209935	西南	115040	35199	2	{f=15, ns=0, s=32}
-209939	问话	65536	38382	3	{n=0}
-209940	连天	65536	36830	3	{v=2, vd=2, vn=0}
-209942	酒后	65536	37202	3	{t=3}
-209944	问询	138828	38382	2	{v=0}
-209948	选定	65536	36873	3	{v=14, vn=1}
-209950	药筒	65536	33647	3	{n=0}
-209953	调出	65536	35843	3	{v=5}
-209960	该病	65536	35813	3	{r=1}
-209962	遗产	136388	36951	2	{n=16}
-209967	酒吧	120822	37202	2	{n=1}
-209973	配搭	65536	37197	3	{v=0}
-209978	细问	65536	32454	3	{v=0}
-209981	花媳	125733	33457	1	null
-209985	铜材	65536	38108	3	{n=3}
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-210002	退学	65536	36864	3	{v=2, vn=0}
-210006	边锋	65536	36793	3	{n=0}
-210010	西厢	116364	35199	1	null
-210012	轻歌	130356	36731	1	null
-210013	调制	131812	35843	2	{v=0, vn=0}
-210014	超期	65536	36229	3	{v=1}
-210016	船艇	65536	33337	3	{n=0}
-210018	老态	104705	32769	2	{n=1}
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-210032	铜板	65536	38108	3	{n=0}
-210036	退守	65536	36864	3	{v=0}
-210038	轻武	134603	36731	1	null
-210040	脚面	65536	33050	3	{n=0}
-210043	酒味	65536	37202	3	{n=1}
-210045	药箱	65536	33647	3	{n=2}
-210052	西双	129751	35199	1	null
-210056	经验	123862	32463	2	{n=267, v=4, vn=2}
-210058	集权	65536	38598	3	{v=0, vn=0}
-210062	草狐	65536	33609	3	{n=0}
-210065	车工	65536	36710	3	{n=0}
-210076	老总	65536	32769	3	{n=11}
-210079	美食	124844	32654	2	{n=4}
-210083	遗传	135538	36951	2	{n=1, v=0, vn=6}
-210084	编钟	65536	32534	3	{n=0}
-210106	食品	144152	39135	2	{n=118}
-210107	隐匿	130418	38544	2	{v=5, vn=0}
-210113	西吉	130707	35199	2	{ns=0}
-210116	词藻	65536	35789	3	{n=0}
-210122	边长	65536	36793	3	{n=0}
-210126	脱钩	65536	33073	3	{v=6}
-210127	调动	65536	35843	3	{v=65, vn=1}
-210128	美餐	65536	32654	3	{n=0}
-210132	精选	120949	31934	2	{v=9, vn=1}
-210134	遗体	65536	36951	3	{n=9}
-210138	花子	65536	33457	3	{n=0}
-210143	遗作	65536	36951	3	{n=0}
-210149	精通	65536	31934	3	{a=0, v=3}
-210152	飘舞	65536	39128	3	{v=0}
-210154	解答	65536	35299	3	{v=6, vn=5}
-210156	相间	65536	30456	3	{v=6, vd=0}
-210157	花季	65536	33457	3	{t=0}
-210159	白送	65536	30333	3	{v=2}
-210165	领唱	65536	39046	3	{v=0}
-210170	过上	65536	36807	3	{v=0}
-210173	过不	135703	36807	1	null
-210174	远征	136684	36828	2	{nr=0, v=2, vn=0}
-210182	过世	65536	36807	3	{v=0}
-210186	节资	118899	33410	1	null
-210199	红筹	110325	32418	1	null
-210208	西周	65536	35199	3	{t=3}
-210209	自己	127521	33258	2	{r=932, v=0}
-210213	脱销	65536	33073	3	{v=0, vn=0}
-210215	调匀	65536	35843	3	{v=0}
-210220	诗韵	65536	35799	3	{n=0}
-210225	退居	137934	36864	1	null
-210227	边门	65536	36793	3	{n=0}
-210228	细雨	65536	32454	3	{n=5}
-210230	车床	65536	36710	3	{n=0}
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-210241	车底	65536	36710	3	{n=0}
-210243	花容	122287	33457	1	null
-210244	轻水	65536	36731	3	{n=0}
-210245	草率	65536	33609	3	{a=0, ad=0}
-210246	超标	134576	36229	2	{v=9, vd=3, vn=2}
-210254	酒商	65536	37202	3	{n=2}
-210258	轮胎	65536	36718	3	{n=3}
-210259	车座	65536	36710	3	{n=1}
-210260	远志	65536	36828	3	{n=0}
-210261	药粉	65536	33647	3	{n=0}
-210266	遗俗	65536	36951	3	{n=0}
-210268	相除	65536	30456	3	{v=0}
-210273	雨滴	65536	38632	3	{n=2}
-210276	该省	65536	35813	3	{r=5}
-210286	调升	65536	35843	3	{v=0, vn=1}
-210292	追究	65536	36861	3	{v=33, vn=2}
-210296	静电	140603	38745	2	{n=0}
-210299	说理	65536	35828	3	{v=2, vn=1}
-210301	边防	136149	36793	2	{b=9, j=0, n=30, s=0, vn=0}
-210302	过于	65536	36807	3	{d=19, v=0}
-210303	顶叶	65536	39030	3	{n=0}
-210305	过云	118508	36807	1	null
-210308	过五	136291	36807	1	null
-210314	行市	65536	34892	3	{n=1}
-210316	相隔	65536	30456	3	{v=5}
-210320	边际	65536	36793	3	{n=2}
-210324	评议	65536	35780	3	{v=6, vn=6}
-210326	走江	127021	36208	1	null
-210327	隐君	139661	38544	1	null
-210336	评论	131681	35780	2	{n=27, v=14, vn=16}
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-210343	隐含	65536	38544	3	{v=2}
-210344	道教	134203	36947	2	{n=1, nz=2}
-210346	过人	65536	36807	3	{v=2, vn=0}
-210347	菜鹅	65536	33756	3	{n=0}
-210348	自幼	65536	33258	3	{d=4}
-210349	问起	65536	38382	3	{v=2}
-210358	行帮	65536	34892	3	{n=0}
-210360	绝非	65536	32477	3	{v=3}
-210365	边陲	65536	36793	3	{n=1, s=8}
-210366	过从	127180	36807	1	null
-210367	自序	65536	33258	3	{n=0}
-210369	配方	65536	37197	3	{n=8, v=0}
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-210377	轻油	65536	36731	3	{n=0}
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-210393	酸菜	65536	37240	3	{n=0}
-210394	评说	65536	35780	3	{v=7, vn=5}
-210399	花展	65536	33457	3	{n=1}
-210403	闹病	65536	38393	3	{v=0}
-210405	阴丹	139365	38452	1	null
-210407	鬼怪	65536	39740	3	{n=0}
-210411	造陆	121746	36896	1	null
-210418	苦练	65536	33510	3	{v=3, vn=0}
-210426	顶呱	142968	39030	1	null
-210427	花山	65536	33457	3	{nz=0}
-210429	调取	65536	35843	3	{v=7}
-210442	赤裸	120079	36196	2	{a=0}
-210445	雅聚	65536	38597	3	{nz=0}
-210448	茶精	65536	33590	3	{n=0}
-210459	身故	65536	36523	3	{v=0}
-210461	车影	65536	36710	3	{n=0}
-210462	调号	65536	35843	3	{n=0}
-210465	花岗	124943	33457	1	null
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-210468	编队	65536	32534	3	{n=6, v=2}
-210469	问路	65536	38382	3	{v=0}
-210471	红粉	65536	32418	3	{n=1}
-210475	飘荡	65536	39128	3	{v=2}
-210479	身教	123231	36523	2	{n=0}
-210488	雄狮	65536	38596	3	{n=1, nz=0}
-210490	阳间	65536	38451	3	{n=0}
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-210496	白酒	65536	30333	3	{n=3}
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-210499	表舅	128805	34920	2	{n=0}
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-210507	轻活	65536	36731	3	{n=0}
-210511	补给	130001	34917	2	{v=0, vn=2}
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-210522	相面	65536	30456	3	{v=0}
-210530	该矿	65536	35813	3	{r=9}
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-210534	英镑	65536	33521	3	{n=6, q=18}
-210538	自强	127696	33258	2	{v=18, vd=0, vn=2}
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-210545	老成	120221	32769	2	{a=0}
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-210553	白醋	65536	30333	3	{n=0}
-210554	空门	65536	31354	3	{n=0}
-210558	轻浮	65536	36731	3	{a=1}
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-210574	脱险	65536	33073	3	{v=3, vn=0}
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-210591	麦种	65536	40614	3	{n=1}
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-210602	补缴	65536	34917	3	{v=1, vn=0}
-210604	老手	65536	32769	3	{n=0}
-210606	试读	123410	35797	1	null
-210608	补缺	65536	34917	3	{v=1, vn=0}
-210611	调和	125524	35843	2	{v=0, vn=1}
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-210615	白釉	65536	30333	3	{n=1}
-210619	自律	65536	33258	3	{v=10, vd=0, vn=9}
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-210642	酒囊	119943	37202	1	null
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-210651	行当	65536	34892	3	{n=1}
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-210659	领土	65536	39046	3	{n=30}
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-210676	领地	65536	39046	3	{n=0}
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-210682	配曲	65536	37197	3	{v=0}
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-210719	行得	114642	34892	1	null
-210726	雨点	65536	38632	3	{n=2}
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-210738	铺锦	139387	38138	1	null
-210743	隐喻	65536	38544	3	{v=0, vn=0}
-210745	绝食	65536	32477	3	{v=0, vn=1}
-210750	边音	65536	36793	3	{n=0}
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-210776	自怨	114431	33258	1	null
-210780	送礼	125334	36865	2	{v=31, vn=2}
-210782	闹着	132133	38393	1	null
-210783	警纪	65536	35686	3	{n=2}
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-210799	花工	65536	33457	3	{n=2}
-210803	自恃	65536	33258	3	{v=1}
-210807	道木	65536	36947	3	{n=0}
-210809	补考	65536	34917	3	{v=1, vn=0}
-210810	鼻音	65536	40763	3	{n=0}
-210812	鼻韵	141038	40763	1	null
-210814	老挝	125420	32769	2	{ns=8}
-210828	花市	65536	33457	3	{n=6, ns=0}
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-210831	结队	65536	32467	3	{v=0, vn=0}
-210835	西四	65536	35199	3	{ns=0}
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-210845	采访	137238	37319	2	{v=89, vn=15}
-210849	该社	65536	35813	3	{r=3}
-210851	领域	65536	39046	3	{n=279}
-210855	雅致	65536	38597	3	{a=1}
-210856	阳面	65536	38451	3	{n=0}
-210859	野景	65536	37326	3	{n=0}
-210863	起手	133141	36215	1	null
-210866	西固	130842	35199	1	null
-210870	零工	65536	38646	3	{n=1}
-210872	苦肉	113352	33510	1	null
-210873	麻卵	137157	40635	1	null
-210875	联行	65536	32852	3	{j=3, vn=2}
-210876	远房	137430	36828	2	{b=0}
-210877	顶嘴	65536	39030	3	{v=0}
-210878	脚骨	65536	33050	3	{n=0}
-210895	节选	65536	33410	3	{v=0, vn=0}
-210903	选录	65536	36873	3	{v=0}
-210905	英雄	129217	33521	2	{a=0, n=85}
-210910	见笑	65536	35265	3	{v=0}
-210915	起承	118665	36215	1	null
-210918	道林	126237	36947	1	null
-210922	老掉	116312	32769	1	null
-210923	送秋	130234	36865	1	null
-210929	联袂	65536	32852	3	{d=9, v=0}
-210930	说白	65536	35828	3	{n=0}
-210933	苦胆	65536	33510	3	{n=0}
-210939	食堂	65536	39135	3	{n=13}
-210941	路灯	65536	36335	3	{n=3}
-210953	西坑	125702	35199	2	{ns=2}
-210962	远投	65536	36828	3	{v=3}
-210969	花序	65536	33457	3	{n=0}
-210972	药罐	126250	33647	1	null
-210973	自惭	123275	33258	1	null
-210975	神通	115942	31070	2	{n=0}
-210976	追索	65536	36861	3	{v=2, vn=1}
-210977	花店	65536	33457	3	{n=2}
-210980	神速	65536	31070	3	{a=1, ad=0}
-210982	身材	65536	36523	3	{n=4}
-210983	警署	65536	35686	3	{n=12}
-210998	结集	65536	32467	3	{v=1, vn=0}
-210999	身条	65536	36523	3	{n=0}
-211003	阳韵	65536	38451	3	{n=0}
-211004	解约	65536	35299	3	{v=0}
-211008	红红	114477	32418	1	null
-211014	走漏	116151	36208	2	{v=0}
-211015	鬼把	141968	39740	1	null
-211021	行情	116614	34892	2	{n=13}
-211023	自感	123487	33258	1	null
-211028	铺陈	65536	38138	3	{v=1}
-211029	身板	65536	36523	3	{n=0}
-211031	自愧	127721	33258	1	null
-211032	神道	109274	31070	2	{n=0}
-211035	调嘴	129624	35843	1	null
-211037	红线	65536	32418	3	{n=0}
-211038	鲜鱼	65536	40092	3	{n=2}
-211041	闲置	65536	38386	3	{v=11, vd=0, vn=1}
-211043	过关	131138	36807	2	{v=9, vn=0}
-211044	红细	110269	32418	1	null
-211045	退役	121894	36864	2	{v=0, vn=3}
-211050	茶缘	65536	33590	3	{n=0}
-211052	草皮	65536	33609	3	{n=0}
-211055	自愿	65536	33258	3	{v=15, vd=8, vn=3}
-211063	零度	65536	38646	3	{n=1}
-211069	随之	130165	38543	2	{d=28}
-211078	西城	130846	35199	2	{ns=5}
-211081	问道	65536	38382	3	{v=4}
-211082	茶缸	65536	33590	3	{n=0}
-211083	道格	133390	36947	1	null
-211085	野村	65536	37326	3	{nr=0, nz=20}
-211086	老搭	118866	32769	1	null
-211088	转世	127642	36716	2	{v=0, vn=0}
-211089	红绳	111268	32418	1	null
-211091	随乡	142113	38543	1	null
-211092	转业	135553	36716	2	{v=4, vn=13}
-211094	红绸	65536	32418	3	{n=0}
-211095	西域	65536	35199	3	{n=1, ns=0}
-211097	花式	65536	33457	3	{b=0}
-211100	过冬	136849	36807	2	{v=10, vn=1}
-211101	红绿	114484	32418	1	null
-211108	血球	65536	34880	3	{n=0}
-211110	试跳	65536	35797	3	{v=0, vn=0}
-211123	降调	65536	38477	3	{n=0, v=0, vn=0}
-211124	转为	65536	36716	3	{v=17}
-211131	脱颖	126242	33073	1	null
-211138	进攻	65536	36827	3	{v=8, vn=12}
-211139	转义	65536	36716	3	{n=0}
-211142	红缨	116730	32418	1	null
-211154	铺集	122649	38138	1	null
-211159	表蒙	128353	34920	1	null
-211160	野果	65536	37326	3	{n=0}
-211171	邮袋	65536	37038	3	{n=0}
-211180	赤诚	65536	36196	3	{a=3, ad=0, an=4}
-211190	过分	65536	36807	3	{a=9, ad=17, d=0, v=0}
-211191	车手	65536	36710	3	{n=0}
-211192	领头	144725	39046	2	{v=1, vn=0}
-211198	酒壶	65536	37202	3	{n=0}
-211200	随从	65536	38543	3	{n=1, vn=0}
-211203	说瞎	117989	35828	1	null
-211210	难上	141979	38590	1	null
-211211	采购	137895	37319	2	{v=9, vn=15}
-211213	要言	132338	35201	1	null
-211217	连带	136837	36830	2	{v=1, vn=3}
-211225	铜氨	140657	38108	1	null
-211226	领奖	143399	39046	2	{v=5, vn=0}
-211230	转交	65536	36716	3	{v=12}
-211232	进料	65536	36827	3	{n=1, vn=0}
-211233	转产	65536	36716	3	{v=5, vn=0}
-211236	细高	118332	32454	2	{z=0}
-211244	车技	65536	36710	3	{n=2}
-211247	空额	65536	31354	3	{n=0}
-211254	车把	135177	36710	2	{n=0}
-211256	石鼓	113128	30707	2	{n=0}
-211258	难为	138370	38590	2	{v=1, vn=1}
-211261	闲聊	65536	38386	3	{v=0}
-211263	闲职	65536	38386	3	{n=0}
-211264	自成	127744	33258	2	{v=0, vn=1}
-211265	自我	127422	33258	2	{r=57}
-211271	选情	65536	36873	3	{n=0}
-211277	花心	65536	33457	3	{n=0}
-211288	赤豆	123236	36196	2	{n=0}
-211289	过剩	65536	36807	3	{v=12, vn=0}
-211291	麦粉	65536	40614	3	{n=0}
-211294	连平	136251	36830	1	null
-211295	连年	65536	36830	3	{b=2, d=30}
-211298	说短	118025	35828	1	null
-211299	阴冷	65536	38452	3	{a=3, an=0}
-211300	麦粒	134878	40614	2	{n=0}
-211310	铺面	65536	38138	3	{n=1}
-211312	阴凄	141205	38452	1	null
-211315	超水	131340	36229	1	null
-211317	阴凉	65536	38452	3	{an=1}
-211321	语音	130246	35821	2	{n=4}
-211323	集水	142040	38598	1	null
-211331	自打	65536	33258	3	{p=3}
-211339	难事	65536	38590	3	{n=2}
-211342	难于	132813	38590	2	{v=1, vd=0}
-211344	麦精	65536	40614	3	{n=0}
-211348	转会	120288	36716	2	{v=0}
-211350	白钨	106443	30333	1	null
-211351	银两	65536	38134	3	{n=0}
-211352	行成	131428	34892	1	null
-211362	走火	65536	36208	3	{v=0}
-211363	银丰	65536	38134	3	{nz=0}
-211367	难产	65536	38590	3	{v=2, vn=0}
-211369	说破	131732	35828	1	null
-211374	自找	107094	33258	2	{v=0}
-211375	白铁	106781	30333	2	{n=3}
-211377	草石	114941	33609	1	null
-211378	麦糠	65536	40614	3	{n=1}
-211390	石龙	119060	30707	1	null
-211391	草码	65536	33609	3	{n=0}
-211397	自投	115134	33258	1	null
-211399	西夏	130853	35199	2	{n=0, t=0}
-211402	白铜	65536	30333	3	{n=0}
-211404	神采	117272	31070	2	{n=2}
-211405	转体	65536	36716	3	{v=0, vn=0}
-211414	评述	65536	35780	3	{v=1, vn=3}
-211418	路牌	65536	36335	3	{n=1}
-211419	精锐	65536	31934	3	{a=1, an=0}
-211425	西天	65536	35199	3	{n=0}
-211426	解职	65536	35299	3	{v=1, vn=0}
-211428	白银	113102	30333	2	{n=2, ns=0}
-211429	难以	143327	38590	2	{d=120, v=1}
-211432	补色	65536	34917	3	{n=0}
-211436	西头	65536	35199	3	{f=0}
-211438	解聘	65536	35299	3	{v=1, vn=1}
-211439	评选	65536	35780	3	{n=1, v=34, vn=30}
-211441	随便	65536	38543	3	{a=1, ad=9, c=0, v=1}
-211456	西奈	65536	35199	3	{ns=0}
-211460	自拔	65536	33258	3	{v=1}
-211465	随俗	65536	38543	3	{v=0}
-211471	白锡	65536	30333	3	{n=0}
-211477	苦苦	65536	33510	3	{a=0, d=7, v=1}
-211481	试车	65536	35797	3	{v=5, vn=0}
-211485	西奥	129334	35199	1	null
-211488	苦英	115583	33510	1	null
-211489	银亮	65536	38134	3	{a=0}
-211500	铜活	65536	38108	3	{n=0}
-211503	集注	65536	38598	3	{n=0, v=0}
-211505	自持	65536	33258	3	{v=0}
-211506	追缴	65536	36861	3	{v=7, vn=0}
-211514	过半	65536	36807	3	{v=2, vn=0}
-211517	赤贫	65536	36196	3	{b=0}
-211518	除臭	141803	38500	1	null
-211524	软木	133963	36719	2	{n=0}
-211527	老旦	65536	32769	3	{n=0}
-211530	老早	65536	32769	3	{d=0, t=0}
-211531	阴功	65536	38452	3	{n=0}
-211533	补苗	65536	34917	3	{v=0}
-211547	药膏	65536	33647	3	{n=1}
-211549	红肿	65536	32418	3	{v=0, vn=0}
-211559	隐士	65536	38544	3	{n=0}
-211560	药膜	65536	33647	3	{n=2}
-211562	装装	65536	35013	3	{v=1}
-211572	银企	139282	38134	2	{j=0}
-211573	过厅	65536	36807	3	{n=0}
-211574	血痕	65536	34880	3	{n=0}
-211583	药膳	65536	33647	3	{n=0}
-211589	词讼	65536	35789	3	{n=0}
-211592	集流	133733	38598	2	{v=0}
-211593	静穆	65536	38745	3	{a=1, an=0}
-211600	老是	65536	32769	3	{d=0}
-211606	装裱	65536	35013	3	{v=0, vn=0}
-211609	转借	65536	36716	3	{v=0}
-211619	顶多	65536	39030	3	{d=1}
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-211624	难侨	65536	38590	3	{n=0}
-211627	过去	131067	36807	2	{t=217, v=129, vn=9}
-211630	连心	130973	36830	1	null
-211632	隐头	129582	38544	1	null
-211634	顶天	133151	39030	1	null
-211638	词语	65536	35789	3	{n=0}
-211640	红脚	102713	32418	1	null
-211645	顶头	144618	39030	1	null
-211647	软枣	65536	36719	3	{n=0}
-211652	连忙	65536	36830	3	{d=4}
-211653	赤足	65536	36196	3	{n=0, v=0, vd=0}
-211655	解脱	65536	35299	3	{v=3, vn=1}
-211656	自掘	125368	33258	1	null
-211660	词调	65536	35789	3	{n=0}
-211661	选手	65536	36873	3	{n=173}
-211662	送粮	65536	36865	3	{v=3, vn=1}
-211664	起敬	65536	36215	3	{v=1}
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-211671	自控	116386	33258	2	{j=0, v=0, vn=0}
-211677	难保	65536	38590	3	{v=2}
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-211686	顺丁	137390	39034	1	null
-211692	进来	65536	36827	3	{v=20}
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-211706	词谱	65536	35789	3	{n=0}
-211710	过后	65536	36807	3	{t=8, v=0}
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-211730	难倒	65536	38590	3	{v=1}
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-211742	阳高	140687	38451	1	null
-211755	调处	65536	35843	3	{j=0, v=1}
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-211759	闹笑	125938	38393	1	null
-211762	阴历	137958	38452	2	{n=3}
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-211798	选拔	122027	36873	2	{v=13, vn=8}
-211803	调头	65536	35843	3	{v=0}
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-211812	鬼斧	136002	39740	1	null
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-211830	鬼方	65536	39740	3	{nr=0}
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-211851	草种	65536	33609	3	{n=0}
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-211872	精雕	110194	31934	1	null
-211875	追肥	65536	36861	3	{n=0, v=0, vn=0}
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-211986	麻城	143804	40635	2	{ns=0}
-211989	药草	65536	33647	3	{n=0}
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-211992	雷达	142821	38647	2	{n=13, nr=1, nz=0}
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-212004	零打	132650	38646	1	null
-212019	要账	65536	35201	3	{v=0}
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-212038	花押	65536	33457	3	{n=0}
-212045	难免	65536	38590	3	{d=1, v=20, vd=1}
-212046	退换	65536	36864	3	{v=0, vn=0}
-212047	红花	116825	32418	2	{n=3}
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-212076	鼓胀	65536	40723	3	{v=0}
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-212090	试采	65536	35797	3	{v=0}
-212093	花拳	65536	33457	3	{n=0}
-212097	自救	65536	33258	3	{v=14, vn=12}
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-212102	说笑	117998	35828	2	{v=0}
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-212120	远望	65536	36828	3	{nz=2, v=3}
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-212126	联贯	65536	32852	3	{a=0}
-212132	顺便	65536	39034	3	{d=3}
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-212180	红茶	109535	32418	2	{n=0}
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-212186	警营	65536	35686	3	{n=0}
-212198	老梅	65536	32769	3	{n=0}
-212200	送终	65536	36865	3	{v=0}
-212201	轮补	65536	36718	3	{v=0}
-212217	送给	65536	36865	3	{v=34}
-212219	连成	137732	36830	2	{nr=0, v=1}
-212220	要路	65536	35201	3	{n=0}
-212227	西屋	65536	35199	3	{nz=2}
-212230	难分	124580	38590	1	null
-212237	红药	115578	32418	1	null
-212239	行文	65536	34892	3	{n=0, v=0, vn=0}
-212258	转动	65536	36716	3	{v=4, vn=0}
-212259	镇静	140114	38215	2	{a=1, an=0, v=0}
-212260	道法	65536	36947	3	{n=0}
-212265	西山	130882	35199	2	{ns=7}
-212284	草签	65536	33609	3	{n=0, v=1}
-212289	行方	131139	34892	1	null
-212295	装订	125547	35013	2	{v=3, vn=0}
-212296	鼓膜	139742	40723	2	{n=0}
-212303	西岗	130884	35199	1	null
-212316	花插	65536	33457	3	{n=1}
-212325	赤道	134196	36196	2	{n=1}
-212331	西岳	65536	35199	3	{ns=0}
-212336	西岸	65536	35199	3	{f=2, n=0, s=58}
-212338	难割	124589	38590	1	null
-212340	白领	98730	30333	2	{b=4, n=0}
-212343	调子	65536	35843	3	{n=2}
-212351	转包	65536	36716	3	{v=2, vn=0}
-212357	邮购	121879	37038	2	{v=1, vn=1}
-212368	转化	126872	36716	2	{v=59, vn=22}
-212369	邮费	65536	37038	3	{n=0}
-212377	西峡	130759	35199	2	{ns=1}
-212380	邮资	65536	37038	3	{n=4}
-212381	起根	125400	36215	1	null
-212382	难办	65536	38590	3	{a=0, v=0}
-212383	顶尖	132179	39030	2	{b=4, n=0}
-212389	随即	65536	38543	3	{d=18}
-212391	行星	65536	34892	3	{n=3}
-212392	西峰	128534	35199	2	{n=0}
-212395	红萍	65536	32418	3	{n=0}
-212405	问长	123237	38382	1	null
-212411	红萝	121940	32418	1	null
-212417	隐居	65536	38544	3	{v=0}
-212418	领巾	65536	39046	3	{n=0}
-212426	鼓舞	65536	40723	3	{a=2, an=0, v=35, vn=13, y=0}
-212427	顶层	65536	39030	3	{f=0}
-212429	白食	65536	30333	3	{n=0}
-212432	转卖	65536	36716	3	{v=0}
-212437	该署	65536	35813	3	{r=1}
-212444	连拱	135342	36830	1	null
-212452	自暴	114491	33258	1	null
-212457	落选	65536	33853	3	{v=2, vn=0}
-212458	领带	143560	39046	2	{n=1}
-212459	转危	136428	36716	1	null
-212493	车条	65536	36710	3	{n=0}
-212501	随口	65536	38543	3	{d=1}
-212507	选料	65536	36873	3	{n=1}
-212509	随叫	124418	38543	1	null
-212512	顶岗	65536	39030	3	{v=0}
-212513	表解	65536	34920	3	{n=0}
-212516	问问	65536	38382	3	{v=2}
-212522	过场	65536	36807	3	{n=0, v=0}
-212523	遗墨	65536	36951	3	{n=0}
-212527	轻生	65536	36731	3	{vn=0}
-212533	酒席	65536	37202	3	{n=1}
-212537	自有	118177	33258	2	{b=1, vn=1}
-212539	草籽	65536	33609	3	{n=2}
-212541	精饲	116640	31934	1	null
-212542	随同	65536	38543	3	{p=0, v=11, vn=1}
-212544	随后	65536	38543	3	{c=0, d=51, f=0, t=0}
-212551	邮路	65536	37038	3	{n=10}
-212555	转发	134343	36716	2	{v=2}
-212562	转变	65536	36716	3	{v=110, vn=72}
-212571	白饭	65536	30333	3	{n=0}
-212573	转口	65536	36716	3	{v=0, vn=3}
-212578	车架	65536	36710	3	{n=0}
-212586	转台	65536	36716	3	{n=0}
-212592	自杀	65536	33258	3	{v=2, vn=0}
-212597	超然	126233	36229	2	{a=0}
-212598	阴囊	133325	38452	2	{n=0}
-212601	顶峰	65536	39030	3	{n=3}
-212610	软武	134467	36719	1	null
-212612	白首	105835	30333	1	null
-212618	随员	65536	38543	3	{n=0}
-212619	转向	129921	36716	2	{v=35, vn=0}
-212624	连接	136234	36830	2	{v=16, vn=2}
-212627	银匠	65536	38134	3	{n=0}
-212629	自来	120054	33258	1	null
-212637	虚飘	111813	34394	1	null
-212639	酒店	139245	37202	2	{n=11}
-212647	行期	65536	34892	3	{n=1}
-212658	通书	65536	36890	3	{n=0}
-212660	遗失	65536	36951	3	{v=2, vn=0}
-212668	除虫	129125	38500	1	null
-212670	随和	65536	38543	3	{a=0, an=0}
-212672	西师	65536	35199	3	{j=0}
-212676	转告	65536	36716	3	{v=1}
-212677	进款	65536	36827	3	{n=0}
-212683	难友	65536	38590	3	{n=0}
-212684	装货	130641	35013	2	{v=0}
-212694	行李	130265	34892	2	{n=11}
-212695	难受	65536	38590	3	{a=1}
-212707	赤金	65536	36196	3	{n=0}
-212716	进步	136699	36827	2	{a=8, an=1, v=47, vn=133}
-212722	过堂	118054	36807	1	null
-212723	通产	127853	36890	1	null
-212730	通亮	65536	36890	3	{b=1, z=0}
-212739	难吃	65536	38590	3	{a=0}
-212742	通人	65536	36890	3	{n=0}
-212748	通什	134250	36890	2	{ns=2}
-212750	顺利	65536	39034	3	{a=67, ad=82, an=0}
-212753	车桥	65536	36710	3	{nz=4}
-212757	自查	65536	33258	3	{v=0, vn=3}
-212758	通今	136979	36890	1	null
-212763	花斑	118354	33457	2	{n=0}
-212770	钢材	65536	38050	3	{n=5}
-212779	西平	65536	35199	3	{ns=0}
-212780	难听	65536	38590	3	{a=1, v=0}
-212784	通令	65536	36890	3	{n=1, v=0, vn=0}
-212787	钢条	65536	38050	3	{n=0}
-212788	零散	65536	38646	3	{a=3, ad=0}
-212793	铜版	130650	38108	2	{n=0}
-212796	西庄	125751	35199	1	null
-212797	铜牌	65536	38108	3	{n=10}
-212799	联运	115054	32852	2	{v=1, vn=2}
-212801	零数	65536	38646	3	{n=0}
-212803	零敲	132657	38646	1	null
-212804	银发	65536	38134	3	{j=0, n=2}
-212805	零整	65536	38646	3	{j=0}
-212813	红薯	65536	32418	3	{n=29}
-212816	软水	65536	36719	3	{n=0}
-212817	钢板	65536	38050	3	{n=3}
-212826	白马	107614	30333	2	{n=1, nr=0}
-212832	要道	65536	35201	3	{n=6}
-212833	花旗	65536	33457	3	{n=0, nz=1}
-212836	麦芒	65536	40614	3	{n=0}
-212842	银号	65536	38134	3	{n=0}
-212844	车检	65536	36710	3	{j=0}
-212848	花旦	65536	33457	3	{n=1}
-212851	过境	125928	36807	2	{v=1, vn=7}
-212852	选曲	65536	36873	3	{n=2}
-212853	雅观	65536	38597	3	{a=0}
-212858	血站	65536	34880	3	{n=15}
-212859	苦行	128395	33510	2	{n=0}
-212860	钢枪	65536	38050	3	{n=0}
-212866	红藤	65536	32418	3	{n=0}
-212870	车棚	65536	36710	3	{n=2}
-212872	钢架	65536	38050	3	{n=3}
-212873	联通	65536	32852	3	{j=1, nz=2, v=1, vn=0}
-212877	路矿	65536	36335	3	{n=0}
-212879	麦芽	135883	40614	2	{n=0}
-212880	行栈	65536	34892	3	{n=0}
-212884	麻子	65536	40635	3	{n=0}
-212886	白骨	105264	30333	2	{n=0}
-212888	花明	122057	33457	1	null
-212889	红藻	65536	32418	3	{n=0}
-212890	酒徒	65536	37202	3	{n=0}
-212891	进气	136055	36827	1	null
-212894	精髓	65536	31934	3	{n=8}
-212895	通体	65536	36890	3	{n=0}
-212900	顺势	65536	39034	3	{d=1}
-212902	苦衷	65536	33510	3	{n=4}
-212905	麦苗	65536	40614	3	{n=1}
-212910	选本	65536	36873	3	{n=0}
-212915	试销	65536	35797	3	{vn=1}
-212918	补血	130631	34917	2	{v=0}
-212920	西开	125980	35199	1	null
-212923	进水	136056	36827	1	null
-212924	食心	131103	39135	1	null
-212926	邮车	65536	37038	3	{n=2}
-212934	邮轮	65536	37038	3	{n=0}
-212935	西式	65536	35199	3	{b=3}
-212940	试错	128786	35797	1	null
-212946	选材	65536	36873	3	{n=2, vn=0}
-212951	通例	65536	36890	3	{n=1}
-212952	轻盈	65536	36731	3	{a=2, ad=0}
-212955	补补	65536	34917	3	{v=1}
-212956	老死	125622	32769	1	null
-212971	评阅	65536	35780	3	{v=0}
-212974	表记	65536	34920	3	{n=0}
-212976	零星	65536	38646	3	{a=0, d=1}
-212978	骨伤	136314	39592	2	{n=0}
-212986	神韵	65536	31070	3	{n=4}
-212987	顺化	144572	39034	1	null
-212990	麦茬	65536	40614	3	{n=0}
-212993	软泥	65536	36719	3	{n=0}
-213002	过多	65536	36807	3	{a=0, d=5, v=0}
-213003	通便	137272	36890	1	null
-213004	过夜	65536	36807	3	{v=6, vn=0}
-213005	精魂	65536	31934	3	{n=2}
-213009	那边	65536	37027	3	{r=0}
-213013	联邦	121638	32852	2	{n=64}
-213014	那达	134031	37027	1	null
-213017	闹翻	138919	38393	2	{v=0}
-213019	麦草	65536	40614	3	{n=0}
-213024	食性	65536	39135	3	{n=0}
-213025	过失	124557	36807	2	{n=2}
-213027	通俗	137072	36890	2	{a=9}
-213028	过头	121373	36807	2	{a=0}
-213035	表语	65536	34920	3	{n=0}
-213037	通信	138862	36890	2	{v=7, vn=69}
-213038	老母	65536	32769	3	{n=4}
-213039	酒性	65536	37202	3	{n=0}
-213041	轮训	126864	36718	2	{v=1, vn=0}
-213043	飞人	65536	39134	3	{n=0}
-213052	老毛	115463	32769	1	null
-213058	血管	65536	34880	3	{n=7}
-213062	过奖	65536	36807	3	{v=2}
-213066	麻将	65536	40635	3	{n=1}
-213071	邮迷	65536	37038	3	{n=0}
-213075	钢梁	65536	38050	3	{n=0}
-213091	领悟	65536	39046	3	{v=2, vn=0}
-213092	草约	65536	33609	3	{n=0}
-213097	红蛋	65536	32418	3	{n=0}
-213098	邮递	137384	37038	2	{v=2, vn=1}
-213100	调幅	65536	35843	3	{n=1, vn=0}
-213103	西德	119704	35199	2	{n=0}
-213109	老气	118437	32769	2	{a=0}
-213110	草纸	65536	33609	3	{n=0}
-213111	走着	124640	36208	1	null
-213114	门下	65536	38376	3	{n=1, s=0}
-213123	阿什	140543	38463	1	null
-213129	领情	65536	39046	3	{v=1}
-213139	通假	65536	36890	3	{n=0}
-213145	调干	65536	35843	3	{v=1}
-213151	表象	65536	34920	3	{n=4}
-213153	试问	65536	35797	3	{v=2}
-213157	节食	65536	33410	3	{v=1, vn=0}
-213159	花朝	122290	33457	1	null
-213161	花期	65536	33457	3	{t=0}
-213162	老汉	65536	32769	3	{n=19}
-213169	草绳	65536	33609	3	{n=0}
-213170	花木	65536	33457	3	{n=2, nz=0}
-213174	红蜘	108763	32418	1	null
-213176	闹肚	138372	38393	1	null
-213177	选样	65536	36873	3	{v=0}
-213181	草绿	116003	33609	2	{b=0}
-213183	花朵	65536	33457	3	{n=3}
-213184	老江	117382	32769	1	null
-213187	遗孀	65536	36951	3	{n=2}
-213188	船身	65536	33337	3	{n=0}
-213189	老汤	65536	32769	3	{n=0}
-213192	顺口	136327	39034	2	{a=0, ad=0}
-213193	起步	65536	36215	3	{v=17, vn=13}
-213194	选案	65536	36873	3	{v=3, vn=0}
-213197	调度	132366	35843	2	{n=2, v=4, vn=11}
-213198	问题	65536	38382	3	{n=1712}
-213200	连日	131240	36830	2	{b=2, d=0}
-213204	草编	65536	33609	3	{b=0, n=0}
-213205	阴天	65536	38452	3	{n=0}
-213211	遗存	65536	36951	3	{v=1, vn=6}
-213214	隐形	132521	38544	2	{b=1}
-213215	起死	133165	36215	1	null
-213223	遗孤	65536	36951	3	{n=0}
-213225	花束	65536	33457	3	{n=2}
-213231	超现	132070	36229	1	null
-213234	阿伯	142288	38463	1	null
-213257	警衔	65536	35686	3	{n=0}
-213259	装车	65536	35013	3	{v=4, vn=1}
-213268	老河	124154	32769	1	null
-213269	试院	65536	35797	3	{n=0}
-213271	酒意	65536	37202	3	{n=0}
-213274	老油	122256	32769	1	null
-213282	装载	125549	35013	2	{v=0, vn=1}
-213286	花果	125012	33457	2	{n=1}
-213287	花枝	123372	33457	2	{n=0}
-213288	退格	126522	36864	1	null
-213290	血粉	65536	34880	3	{n=0}
-213291	调弄	65536	35843	3	{v=0}
-213293	药衡	65536	33647	3	{n=0}
-213295	随国	65536	38543	3	{ns=0}
-213297	药补	65536	33647	3	{n=0}
-213300	花枪	65536	33457	3	{n=0}
-213302	调式	65536	35843	3	{n=0}
-213308	遗容	65536	36951	3	{n=4}
-213312	花架	125310	33457	2	{n=0}
-213320	补角	65536	34917	3	{n=0}
-213321	隐忍	65536	38544	3	{v=0}
-213323	老泪	118462	32769	1	null
-213324	静脉	137652	38745	2	{n=2}
-213326	花柄	65536	33457	3	{n=0}
-213336	红螺	65536	32418	3	{n=0}
-213340	闹脾	134083	38393	1	null
-213346	随地	65536	38543	3	{d=0, ns=0}
-213347	隐忧	65536	38544	3	{n=3}
-213349	雷锋	139234	38647	2	{nr=37}
-213354	白鱼	65536	30333	3	{n=0}
-213355	血糊	119511	34880	1	null
-213356	酸软	65536	37240	3	{a=0}
-213361	顺和	65536	39034	3	{a=0}
-213365	装运	65536	35013	3	{v=4, vn=0}
-213367	血糖	65536	34880	3	{n=3}
-213368	进深	65536	36827	3	{n=0}
-213370	说者	65536	35828	3	{n=2}
-213371	花柱	65536	33457	3	{n=0}
-213373	花柳	118544	33457	1	null
-213375	白鲑	65536	30333	3	{n=1}
-213378	转圈	65536	36716	3	{v=0}
-213389	白鲟	65536	30333	3	{n=0}
-213392	白鲢	97142	30333	2	{n=0}
-213396	遗少	65536	36951	3	{n=0}
-213400	酸辛	65536	37240	3	{an=0}
-213401	路程	65536	36335	3	{n=2}
-213404	闹腾	65536	38393	3	{v=2, vn=1}
-213408	酸辣	131644	37240	1	null
-213411	隐性	65536	38544	3	{b=2}
-213414	白鲸	65536	30333	3	{n=0}
-213415	野火	130825	37326	2	{n=0}
-213425	远水	122279	36828	1	null
-213435	白鳍	101278	30333	1	null
-213437	通共	65536	36890	3	{d=0}
-213439	通关	65536	36890	3	{v=7, vn=0}
-213441	花样	127702	33457	2	{n=9}
-213445	白鳗	65536	30333	3	{n=0}
-213446	野炊	65536	37326	3	{v=1, vn=0}
-213451	白鳝	65536	30333	3	{n=0}
-213452	白鳞	97152	30333	1	null
-213453	车次	65536	36710	3	{n=1, q=0}
-213459	赤铁	124447	36196	1	null
-213467	银器	65536	38134	3	{n=0}
-213470	红血	113589	32418	1	null
-213473	遗属	65536	36951	3	{n=1}
-213481	船运	65536	33337	3	{vn=1}
-213486	赤铜	124452	36196	1	null
-213490	隐恶	137851	38544	1	null
-213505	红衣	123270	32418	2	{n=0}
-213509	转型	130090	36716	2	{n=0, v=5, vn=13}
-213535	隐患	65536	38544	3	{n=14}
-213537	花梗	65536	33457	3	{n=0}
-213540	那里	65536	37027	3	{r=70}
-213547	红袍	65536	32418	3	{n=1}
-213553	连杆	65536	36830	3	{n=0}
-213556	红袖	65536	32418	3	{n=0}
-213560	船速	65536	33337	3	{n=0}
-213569	隐情	65536	38544	3	{n=0}
-213573	起泡	65536	36215	3	{v=0}
-213575	麻布	65536	40635	3	{n=0}
-213580	雪上	142301	38634	1	null
-213589	银团	65536	38134	3	{j=0, n=2}
-213590	说胡	117999	35828	1	null
-213591	花棍	115389	33457	1	null
-213598	超生	65536	36229	3	{v=1, vn=0}
-213602	茶褐	115935	33590	1	null
-213603	红装	65536	32418	3	{n=0}
-213605	通则	65536	36890	3	{n=2}
-213610	自欺	120311	33258	1	null
-213614	节骨	117951	33410	1	null
-213615	雪中	126590	38634	1	null
-213620	转基	134241	36716	1	null
-213625	银圆	65536	38134	3	{n=0}
-213628	集电	136852	38598	1	null
-213630	警觉	128232	35686	2	{v=0, vn=3}
-213640	远洋	124251	36828	2	{b=3, n=3, nz=0}
-213644	送葬	65536	36865	3	{v=0}
-213647	雷阵	124940	38647	1	null
-213648	老港	65536	32769	3	{ns=0}
-213650	过客	65536	36807	3	{n=2}
-213652	自此	65536	33258	3	{d=1}
-213653	走神	65536	36208	3	{v=0}
-213660	花椒	65536	33457	3	{n=4}
-213666	连枷	65536	36830	3	{n=0}
-213668	采集	65536	37319	3	{v=16, vn=3}
-213670	过家	133703	36807	1	null
-213678	红褐	109912	32418	1	null
-213690	花椰	114945	33457	1	null
-213702	行款	65536	34892	3	{n=0}
-213718	集疏	126538	38598	1	null
-213728	车水	116830	36710	1	null
-213735	通力	136831	36890	2	{d=5, vd=0, vn=0}
-213740	调情	65536	35843	3	{vn=0}
-213744	雪亮	65536	38634	3	{z=0}
-213746	装配	127941	35013	2	{v=2, vn=2}
-213747	闲言	130798	38386	1	null
-213748	走禽	65536	36208	3	{n=0}
-213752	走私	128659	36208	2	{b=3, v=21, vn=32}
-213756	雪人	65536	38634	3	{n=1}
-213760	食指	65536	39135	3	{n=4}
-213762	飘逸	65536	39128	3	{a=3, v=1}
-213766	远涉	120265	36828	1	null
-213768	骨刺	65536	39592	3	{n=0}
-213771	车江	124991	36710	1	null
-213772	近视	126893	36817	2	{a=2, an=0, v=0}
-213774	阿克	136974	38463	1	null
-213778	花榈	122296	33457	1	null
-213783	预习	65536	39044	3	{v=0, vn=0}
-213784	转增	65536	36716	3	{v=0}
-213794	随声	124498	38543	1	null
-213800	静若	141224	38745	1	null
-213802	难堪	65536	38590	3	{a=1, an=0, v=0}
-213803	白鸽	65536	30333	3	{n=0}
-213808	通勤	121636	36890	1	null
-213810	苦调	65536	33510	3	{n=1}
-213813	白鹇	65536	30333	3	{n=0}
-213814	随处	141486	38543	2	{d=5}
-213817	阿其	141455	38463	1	null
-213825	自民	126938	33258	1	null
-213826	雷雨	143463	38647	2	{n=1}
-213827	血红	119429	34880	2	{z=0}
-213831	神魂	101078	31070	2	{n=1}
-213833	神魄	65536	31070	3	{n=3}
-213835	试题	65536	35797	3	{n=0}
-213837	酸酐	65536	37240	3	{n=0}
-213842	白鹤	65536	30333	3	{n=0}
-213846	雅趣	65536	38597	3	{n=0}
-213849	随大	135012	38543	1	null
-213851	白鹭	65536	30333	3	{n=2}
-213854	预产	138420	39044	1	null
-213856	雷霆	143603	38647	2	{n=1}
-213857	白鹳	65536	30333	3	{n=0}
-213858	通化	134281	36890	2	{ns=0}
-213859	补语	65536	34917	3	{n=0}
-213863	血细	118469	34880	1	null
-213865	骨力	65536	39592	3	{n=0}
-213869	白鹿	115809	30333	1	null
-213870	麦蚜	133432	40614	2	{n=0}
-213872	红角	65536	32418	3	{n=0}
-213876	补课	65536	34917	3	{v=1, vn=1}
-213888	血统	127426	34880	2	{n=1}
-213903	预付	137369	39044	2	{v=1}
-213905	试飞	131812	35797	2	{v=0, vn=0}
-213911	野牛	126141	37326	2	{n=0}
-213912	降雨	138693	38477	2	{v=0, vn=4}
-213914	降雪	65536	38477	3	{v=13, vn=10}
-213917	雪佛	142616	38634	1	null
-213918	远渡	120274	36828	1	null
-213922	飞利	137396	39134	1	null
-213924	静荡	130383	38745	1	null
-213925	野物	65536	37326	3	{n=0}
-213931	走穴	65536	36208	3	{v=2}
-213934	转头	65536	36716	3	{v=1}
-213940	鬼混	65536	39740	3	{v=0}
-213941	远游	65536	36828	3	{v=0}
-213945	血缘	65536	34880	3	{n=2}
-213951	面上	65536	38754	3	{s=2}
-213954	面不	138367	38754	1	null
-213963	面世	65536	38754	3	{v=12, vn=1}
-213972	词锋	65536	35789	3	{n=0}
-213988	骨化	65536	39592	3	{v=0}
-213991	预估	65536	39044	3	{v=0}
-213993	面临	65536	38754	3	{m=0, v=158, vn=1}
-213995	自治	127535	33258	2	{v=20, vn=89}
-213996	轮轨	65536	36718	3	{n=0}
-213997	车流	119045	36710	2	{n=5}
-214000	轮转	132512	36718	2	{vn=0}
-214004	起源	65536	36215	3	{n=9, v=3, vn=1}
-214007	草船	128887	33609	1	null
-214008	轮轴	65536	36718	3	{n=0}
-214012	表达	130593	34920	2	{v=56, vn=5}
-214019	面乎	144241	38754	1	null
-214020	难处	65536	38590	3	{n=0}
-214022	钢水	65536	38050	3	{n=0}
-214027	通县	65536	36890	3	{ns=0}
-214031	轮辋	65536	36718	3	{n=0}
-214036	轮辐	65536	36718	3	{n=0}
-214039	铁一	136803	38081	1	null
-214043	赤霉	125025	36196	1	null
-214045	阴山	129168	38452	2	{ns=0}
-214048	铁三	125138	38081	1	null
-214058	退款	65536	36864	3	{v=1, vn=0}
-214062	表述	65536	34920	3	{v=1, vn=4}
-214064	通古	132317	36890	1	null
-214068	铁丝	127830	38081	2	{n=1}
-214070	调戏	65536	35843	3	{v=0}
-214071	选段	65536	36873	3	{n=4}
-214076	道班	65536	36947	3	{n=2}
-214078	通史	65536	36890	3	{n=5}
-214079	鸡公	130694	40481	1	null
-214084	赤露	65536	36196	3	{v=0}
-214096	铁丹	65536	38081	3	{n=0}
-214097	退步	65536	36864	3	{v=0, vn=0}
-214101	道理	65536	36947	3	{n=45}
-214103	草芙	115408	33609	1	null
-214104	鸡内	130076	40481	1	null
-214105	面交	65536	38754	3	{v=1}
-214109	通向	65536	36890	3	{p=0, v=4}
-214115	草芥	65536	33609	3	{n=0}
-214116	警讯	65536	35686	3	{n=0}
-214118	野猪	65536	37326	3	{n=1}
-214119	野猫	65536	37326	3	{n=0}
-214127	面人	65536	38754	3	{n=1}
-214129	自流	127657	33258	1	null
-214131	鸡冠	144036	40481	2	{n=1}
-214134	阿劳	121410	38463	1	null
-214139	草芽	65536	33609	3	{n=0}
-214150	遗弃	129434	36951	2	{v=0, vn=0}
-214157	白龟	109471	30333	2	{n=0}
-214163	选民	131785	36873	2	{n=34}
-214165	阿勒	134390	38463	1	null
-214166	通告	65536	36890	3	{n=4, v=1, vn=0}
-214174	落难	65536	33853	3	{v=0}
-214176	警诫	65536	35686	3	{n=1}
-214178	警语	65536	35686	3	{n=0}
-214179	铁二	121926	38081	1	null
-214186	补贴	124243	34917	2	{n=15, v=12, vn=9}
-214187	铁五	136818	38081	1	null
-214188	采风	65536	37319	3	{v=2, vn=2}
-214195	顺城	143341	39034	1	null
-214203	铁交	133550	38081	1	null
-214204	门前	65536	38376	3	{s=27}
-214208	飞升	65536	39134	3	{v=1}
-214215	草茉	115730	33609	1	null
-214217	银奖	65536	38134	3	{n=4}
-214224	闲话	65536	38386	3	{n=0, v=0}
-214225	铁人	65536	38081	3	{n=12}
-214256	铜矿	65536	38108	3	{n=2}
-214267	闲谈	65536	38386	3	{v=1, vn=0}
-214279	草草	129339	33609	2	{d=0}
-214280	要闻	65536	35201	3	{n=0}
-214286	草荐	65536	33609	3	{n=0}
-214287	调拨	65536	35843	3	{v=5, vn=2}
-214288	草荒	65536	33609	3	{n=0}
-214301	领教	65536	39046	3	{v=0}
-214313	补足	65536	34917	3	{v=1}
-214314	血肉	124302	34880	2	{n=4}
-214316	超短	127655	36229	1	null
-214317	草药	125221	33609	2	{n=5}
-214319	茶话	129080	33590	1	null
-214320	配用	65536	37197	3	{v=0}
-214331	转嫁	65536	36716	3	{v=2, vn=0}
-214333	配电	128791	37197	2	{v=16, vn=0}
-214335	试验	135841	35797	2	{n=1, v=35, vn=43}
-214339	配画	123392	37197	1	null
-214346	西撒	130506	35199	1	null
-214353	草莓	65536	33609	3	{n=1}
-214362	遗志	65536	36951	3	{n=5}
-214363	遗忘	128561	36951	2	{v=4}
-214368	血肿	65536	34880	3	{n=0}
-214371	软片	65536	36719	3	{n=0}
-214372	过年	65536	36807	3	{t=1, v=90, vn=7}
-214376	顺境	65536	39034	3	{n=1}
-214392	遗念	65536	36951	3	{n=0}
-214395	草莽	115921	33609	2	{n=1}
-214398	鼓角	65536	40723	3	{n=0}
-214400	食文	144246	39135	1	null
-214403	草菅	129292	33609	1	null
-214405	草菇	65536	33609	3	{n=0}
-214409	调换	65536	35843	3	{v=4, vn=0}
-214410	解说	131061	35299	2	{v=2, vn=1}
-214414	联队	65536	32852	3	{n=0}
-214417	解读	65536	35299	3	{v=0}
-214418	通商	65536	36890	3	{nz=0, v=8, vn=4}
-214422	过度	65536	36807	3	{d=18, v=0, vd=0, vn=2}
-214425	解调	130535	35299	2	{vn=0}
-214426	阴差	123693	38452	1	null
-214433	联防	107713	32852	2	{v=2, vd=0, vn=2}
-214435	血脂	65536	34880	3	{n=1}
-214436	联阵	65536	32852	3	{j=0}
-214437	要隘	65536	35201	3	{n=0}
-214442	血脉	121013	34880	2	{n=6}
-214452	飞吻	65536	39134	3	{n=0, v=0}
-214457	雪具	65536	38634	3	{n=0}
-214459	阿司	140975	38463	1	null
-214464	选派	65536	36873	3	{v=21, vn=0}
-214474	转子	65536	36716	3	{n=0}
-214477	银婚	65536	38134	3	{n=0}
-214478	调控	65536	35843	3	{n=1, v=13, vn=103}
-214479	起火	65536	36215	3	{v=4, vn=1}
-214490	门卫	65536	38376	3	{n=2}
-214496	转学	65536	36716	3	{v=0}
-214500	红豆	116866	32418	2	{n=1, nz=1}
-214506	花池	125335	33457	2	{n=0}
-214507	遗恨	65536	36951	3	{v=0, vn=0}
-214513	面值	65536	38754	3	{n=11}
-214516	门厅	65536	38376	3	{n=2}
-214517	钢渣	65536	38050	3	{n=0}
-214523	雄花	65536	38596	3	{n=0}
-214525	预兆	65536	39044	3	{n=0}
-214527	预先	65536	39044	3	{d=2}
-214533	药费	65536	33647	3	{n=1}
-214534	血腥	123814	34880	2	{a=0, z=0}
-214535	西敏	130718	35199	1	null
-214538	表里	128816	34920	2	{n=1}
-214542	顺天	140438	39034	1	null
-214544	过张	137135	36807	1	null
-214545	自满	65536	33258	3	{a=1}
-214557	起点	123958	36215	2	{n=19, v=0}
-214558	阴干	65536	38452	3	{v=0}
-214559	阴平	65536	38452	3	{n=0}
-214564	神鸟	65536	31070	3	{n=0}
-214567	顶撞	65536	39030	3	{v=0}
-214568	鬼火	65536	39740	3	{n=0}
-214578	鬼灵	135144	39740	1	null
-214582	进犯	65536	36827	3	{v=1}
-214591	西文	65536	35199	3	{j=0, nr=2, nz=1}
-214601	降香	65536	38477	3	{n=0}
-214605	路线	133603	36335	2	{n=89}
-214610	门口	65536	38376	3	{s=25}
-214619	野生	125369	37326	2	{b=26, v=0, vn=0}
-214621	路经	65536	36335	3	{v=0}
-214622	门可	128865	38376	1	null
-214630	门号	65536	38376	3	{n=0}
-214635	雪利	126263	38634	1	null
-214636	送行	65536	36865	3	{v=6, vn=0}
-214639	要面	128954	35201	1	null
-214640	过往	65536	36807	3	{v=3, vn=12}
-214641	西方	132062	35199	2	{f=11, n=4, ns=1, s=114}
-214645	西施	65536	35199	3	{nr=1}
-214646	鬼点	143703	39740	1	null
-214660	神鹿	65536	31070	3	{n=0}
-214663	过得	135757	36807	1	null
-214669	那阵	135578	37027	1	null
-214670	见见	65536	35265	3	{v=2}
-214678	茶资	65536	33590	3	{n=0}
-214679	老父	125491	32769	2	{n=2}
-214680	老爷	124801	32769	2	{n=0}
-214682	老爹	65536	32769	3	{n=0}
-214690	追认	65536	36861	3	{v=0}
-214692	麦角	65536	40614	3	{n=0}
-214693	软玉	65536	36719	3	{n=0}
-214696	阿哥	65536	38463	3	{n=1}
-214701	老牌	65536	32769	3	{b=4}
-214702	追记	65536	36861	3	{v=0, vn=0}
-214703	该行	65536	35813	3	{r=38}
-214704	见解	65536	35265	3	{n=16}
-214710	鸡口	138132	40481	1	null
-214716	老牛	114874	32769	1	null
-214718	词韵	65536	35789	3	{n=0}
-214722	遗愿	65536	36951	3	{n=2}
-214723	银子	65536	38134	3	{n=0}
-214724	西昌	128151	35199	2	{ns=3}
-214725	红货	65536	32418	3	{n=0}
-214727	追诉	131597	36861	1	null
-214730	船钱	65536	33337	3	{n=0}
-214731	软环	133930	36719	1	null
-214732	道白	65536	36947	3	{n=0}
-214733	领有	65536	39046	3	{v=0}
-214737	顶效	65536	39030	3	{ns=5}
-214751	路网	65536	36335	3	{j=0, n=1}
-214765	预制	143148	39044	2	{v=1, vn=0}
-214778	酒曲	65536	37202	3	{n=0}
-214784	老犟	122817	32769	1	null
-214786	红赤	107113	32418	1	null
-214787	西晋	65536	35199	3	{t=1}
-214796	零活	65536	38646	3	{n=0}
-214801	转岗	65536	36716	3	{v=8, vn=2}
-214802	花消	65536	33457	3	{n=0}
-214803	血色	119451	34880	2	{n=0}
-214811	车灯	65536	36710	3	{n=0}
-214813	阴影	65536	38452	3	{n=11}
-214819	近距	65536	36817	3	{n=0}
-214828	面具	65536	38754	3	{n=5}
-214833	老狐	116224	32769	1	null
-214837	近路	65536	36817	3	{n=2}
-214838	骨器	65536	39592	3	{n=0}
-214843	食杂	141302	39135	1	null
-214845	补过	65536	34917	3	{v=0}
-214849	遗憾	65536	36951	3	{a=24, an=13, n=0}
-214852	问鼎	65536	38382	3	{v=1}
-214857	通国	65536	36890	3	{n=0}
-214871	预加	140791	39044	1	null
-214874	词频	65536	35789	3	{n=0}
-214883	阴德	65536	38452	3	{n=0}
-214890	起爆	65536	36215	3	{v=0, vn=0}
-214903	酒杯	65536	37202	3	{n=4}
-214905	鼓词	65536	40723	3	{n=0}
-214911	补选	65536	34917	3	{v=0, vn=0}
-214912	调教	65536	35843	3	{v=0, vn=0}
-214914	雅量	65536	38597	3	{n=0}
-214915	铁公	119957	38081	1	null
-214919	雨脚	65536	38632	3	{n=1}
-214922	进球	131569	36827	2	{n=1, v=0, vn=0}
-214925	装门	113222	35013	1	null
-214928	那霸	134892	37027	2	{ns=1}
-214931	要领	65536	35201	3	{n=1}
-214936	船长	65536	33337	3	{n=3}
-214939	调整	127560	35843	2	{v=198, vn=237}
-214942	神龙	65536	31070	3	{n=0, nz=4}
-214944	神龛	65536	31070	3	{n=0}
-214962	铁军	65536	38081	3	{n=1}
-214970	隐显	140354	38544	1	null
-214976	调料	65536	35843	3	{n=2}
-214978	银屏	65536	38134	3	{n=0}
-214980	银屑	130649	38134	1	null
-214981	西服	130617	35199	2	{n=4}
-214986	轻纺	65536	36731	3	{j=0}
-214989	补遗	65536	34917	3	{n=0, v=0}
-214995	阴性	135257	38452	2	{n=0}
-215001	走红	118463	36208	2	{v=4, vn=1}
-215009	雪原	65536	38634	3	{n=2}
-215010	隐晦	65536	38544	3	{a=0}
-215012	银山	65536	38134	3	{ns=1}
-215018	老玉	113801	32769	1	null
-215019	面制	142591	38754	1	null
-215039	过意	137203	36807	1	null
-215042	面前	65536	38754	3	{f=54, n=1, s=1}
-215049	西村	65536	35199	3	{ns=11}
-215056	随州	138911	38543	2	{ns=4}
-215057	船闸	65536	33337	3	{n=6}
-215059	车照	65536	36710	3	{n=0}
-215062	身着	65536	36523	3	{v=15}
-215065	西条	65536	35199	3	{nr=0}
-215066	通城	65536	36890	3	{nz=0}
-215067	警车	65536	35686	3	{n=15}
-215096	船队	65536	33337	3	{n=4}
-215100	铜筋	122585	38108	1	null
-215105	追赃	65536	36861	3	{v=0}
-215114	自焚	65536	33258	3	{v=0}
-215116	落马	65536	33853	3	{v=0, vn=0}
-215120	雪后	65536	38634	3	{t=3}
-215122	阿嚏	65536	38463	3	{o=0}
-215128	随带	65536	38543	3	{v=0}
-215130	退潮	65536	36864	3	{v=0}
-215134	追赠	65536	36861	3	{v=0}
-215139	银峰	65536	38134	3	{nz=0}
-215142	自然	146771	33258	2	{a=37, an=0, d=78, m=0, n=54}
-215156	追赶	65536	36861	3	{v=6, vn=0}
-215162	要饭	65536	35201	3	{v=0}
-215166	酒桶	65536	37202	3	{n=0}
-215168	钢炮	65536	38050	3	{n=0}
-215169	苦酒	65536	33510	3	{n=1}
-215171	道破	65536	36947	3	{v=2}
-215173	铜箔	65536	38108	3	{n=0}
-215175	西柏	129851	35199	1	null
-215176	顶替	65536	39030	3	{v=0}
-215178	鱼丸	143780	40060	1	null
-215182	见证	132286	35265	2	{n=0, v=0, vn=0}
-215186	铜管	140623	38108	2	{n=0}
-215187	见识	65536	35265	3	{n=2, v=2}
-215188	雄蕊	65536	38596	3	{n=0}
-215204	阿囡	65536	38463	3	{n=0}
-215209	飞地	65536	39134	3	{n=0}
-215210	首任	65536	39318	3	{b=7}
-215212	首份	65536	39318	3	{b=1}
-215218	铁力	134033	38081	2	{n=0}
-215226	面包	140922	38754	2	{n=12}
-215233	阿图	142129	38463	1	null
-215237	预后	65536	39044	3	{n=0}
-215238	表针	65536	34920	3	{n=0}
-215250	见谅	65536	35265	3	{v=0}
-215252	音义	65536	38899	3	{n=0}
-215259	音乐	151794	38899	2	{n=109}
-215269	酸雨	65536	37240	3	{n=1}
-215276	转干	65536	36716	3	{v=0}
-215278	转年	65536	36716	3	{d=1, t=0}
-215283	自燃	123194	33258	2	{v=0, vn=0}
-215285	闲适	65536	38386	3	{an=1}
-215288	车牌	65536	36710	3	{n=3}
-215289	草蜻	114945	33609	1	null
-215291	酸雾	65536	37240	3	{n=1}
-215292	首位	65536	39318	3	{n=0}
-215297	预告	65536	39044	3	{v=0}
-215304	顶板	65536	39030	3	{n=0}
-215310	闲逛	65536	38386	3	{v=2}
-215313	铁勺	65536	38081	3	{n=0}
-215322	连港	65536	36830	3	{nz=0}
-215324	轻而	130598	36731	1	null
-215326	雨花	142150	38632	1	null
-215328	阿坝	65536	38463	3	{ns=0}
-215335	过户	65536	36807	3	{v=1, vn=1}
-215336	追踪	65536	36861	3	{v=5, vd=0, vn=4}
-215351	铁匠	65536	38081	3	{n=0}
-215352	走老	118946	36208	1	null
-215354	首例	65536	39318	3	{n=3}
-215355	过手	65536	36807	3	{v=0}
-215356	表链	65536	34920	3	{n=0}
-215376	银川	136733	38134	2	{ns=7}
-215383	退火	65536	36864	3	{v=0}
-215384	铁十	139602	38081	1	null
-215391	鼓足	144379	40723	2	{v=1}
-215393	自爱	65536	33258	3	{a=2, v=0}
-215406	红运	65536	32418	3	{n=1}
-215412	银币	65536	38134	3	{n=0}
-215413	通天	65536	36890	3	{v=0}
-215418	过把	126921	36807	1	null
-215424	老生	121542	32769	2	{n=0}
-215428	酒楼	65536	37202	3	{n=5}
-215439	转引	65536	36716	3	{v=0}
-215441	阿城	138224	38463	2	{ns=0}
-215447	解送	65536	35299	3	{v=0}
-215449	近道	65536	36817	3	{n=0}
-215461	茶道	65536	33590	3	{n=0}
-215462	难度	65536	38590	3	{n=42}
-215465	转弯	133106	36716	2	{v=3, vn=1}
-215480	红通	106420	32418	1	null
-215485	门坎	65536	38376	3	{n=0}
-215488	飘零	65536	39128	3	{v=0}
-215492	通奸	125739	36890	2	{v=0}
-215494	面向	65536	38754	3	{p=0, v=101, vn=0}
-215496	银幕	65536	38134	3	{n=6}
-215497	药都	65536	33647	3	{n=0}
-215503	转录	65536	36716	3	{v=0}
-215504	首倡	133023	39318	2	{v=1}
-215507	退烧	124405	36864	2	{v=0}
-215509	配种	127743	37197	2	{v=0, vn=0}
-215512	音位	141132	38899	2	{n=0}
-215513	退热	124416	36864	1	null
-215515	鸡圈	65536	40481	3	{n=0}
-215518	道福	129378	36947	1	null
-215523	阴户	65536	38452	3	{n=0}
-215525	预售	65536	39044	3	{v=1, vn=6}
-215535	见财	116226	35265	1	null
-215540	软盘	127336	36719	2	{n=0}
-215541	随心	137830	38543	1	null
-215542	食槽	65536	39135	3	{n=0}
-215545	花灯	123613	33457	2	{n=25}
-215549	送话	135990	36865	1	null
-215551	面告	65536	38754	3	{v=0}
-215552	集粹	65536	38598	3	{n=0}
-215553	近邻	65536	36817	3	{n=2}
-215554	骨头	139914	39592	2	{n=1}
-215557	静观	65536	38745	3	{v=0}
-215562	顶梁	137996	39030	1	null
-215564	调查	133854	35843	2	{n=1, v=130, vn=140}
-215565	鸡场	147384	40481	2	{n=3}
-215568	近郊	65536	36817	3	{s=4}
-215570	西楚	65536	35199	3	{t=1}
-215578	银座	65536	38134	3	{nz=0}
-215582	药酒	65536	33647	3	{n=1}
-215583	铁合	123118	38081	1	null
-215584	防不	128922	38450	1	null
-215585	阿塞	136986	38463	1	null
-215590	老病	124172	32769	1	null
-215608	花炮	65536	33457	3	{n=2}
-215614	行状	65536	34892	3	{n=0}
-215619	花点	125343	33457	1	null
-215623	警醒	65536	35686	3	{v=2, vn=2}
-215625	草袋	65536	33609	3	{n=0}
-215628	雄蜂	65536	38596	3	{n=0}
-215633	进益	65536	36827	3	{n=0}
-215635	难当	65536	38590	3	{v=2}
-215644	软着	118122	36719	1	null
-215651	顶棚	65536	39030	3	{n=0}
-215653	花烛	65536	33457	3	{n=0}
-215660	音信	143694	38899	2	{n=0}
-215663	转念	65536	36716	3	{v=0}
-215673	雷鸟	65536	38647	3	{n=0}
-215677	雷鸣	133577	38647	2	{nr=1, v=5, vn=1}
-215678	重丘	138229	37325	1	null
-215690	零点	65536	38646	3	{n=0, nz=0, t=2}
-215692	起用	65536	36215	3	{v=1}
-215699	重中	139493	37325	1	null
-215703	难得	65536	38590	3	{a=19, ad=4, an=0, v=0}
-215705	起电	124986	36215	1	null
-215707	红都	65536	32418	3	{nz=0}
-215714	飞天	142535	39134	2	{n=2, nz=6}
-215718	通婚	65536	36890	3	{v=0, vn=0}
-215727	重义	122809	37325	1	null
-215731	飞夺	65536	39134	3	{v=1}
-215751	音值	65536	38899	3	{n=0}
-215757	飞奔	65536	39134	3	{v=1}
-215763	顺差	65536	39034	3	{n=20, v=0, vn=0}
-215768	难忘	65536	38590	3	{a=13, v=20, vn=0}
-215772	遗教	65536	36951	3	{n=0}
-215774	老白	121490	32769	1	null
-215775	老百	122674	32769	1	null
-215784	老皇	124288	32769	1	null
-215790	追述	65536	36861	3	{v=1}
-215796	重于	131656	37325	1	null
-215797	起疑	65536	36215	3	{v=0}
-215799	首先	65536	39318	3	{c=81, d=154, v=1}
-215800	鬼画	135554	39740	1	null
-215801	野禽	65536	37326	3	{n=0}
-215803	面商	65536	38754	3	{v=0}
-215805	自珍	65536	33258	3	{a=1}
-215810	领款	65536	39046	3	{v=0}
-215813	顶楼	65536	39030	3	{n=0}
-215817	野种	65536	37326	3	{n=0}
-215818	遗文	65536	36951	3	{n=0}
-215819	顺带	65536	39034	3	{d=0}
-215822	追逐	121847	36861	2	{v=5, vn=0}
-215829	装饰	130284	35013	2	{n=4, v=11, vn=2}
-215834	转悠	65536	36716	3	{v=2}
-215844	雪团	65536	38634	3	{n=0}
-215845	随想	136630	38543	2	{n=0}
-215850	难怪	65536	38590	3	{d=14}
-215851	食欲	145543	39135	2	{n=2}
-215852	转悲	136465	36716	1	null
-215855	轻舟	65536	36731	3	{n=0}
-215862	自理	65536	33258	3	{v=2, vn=0}
-215865	面善	65536	38754	3	{a=0}
-215866	追逼	65536	36861	3	{v=0}
-215869	防伪	65536	38450	3	{v=6, vn=43}
-215873	随意	138370	38543	2	{a=2, ad=11, an=0, d=2}
-215879	送货	138135	36865	2	{v=1, vn=1}
-215883	阿妈	65536	38463	3	{n=1}
-215889	随感	65536	38543	3	{n=1}
-215890	遗族	65536	36951	3	{n=0}
-215893	身穿	65536	36523	3	{v=0}
-215896	顺平	143213	39034	2	{ns=0}
-215897	老相	122767	32769	2	{a=0}
-215898	音像	65536	38899	3	{n=10}
-215901	重价	65536	37325	3	{n=0}
-215904	解释	126221	35299	2	{n=0, v=25, vd=0, vn=13}
-215905	重任	137234	37325	2	{n=22}
-215916	麻木	147894	40635	2	{a=1, an=0, v=0}
-215920	表露	65536	34920	3	{v=0, vn=1}
-215922	雪地	124673	38634	2	{n=6}
-215924	顺序	65536	39034	3	{d=0, n=8}
-215929	顺应	65536	39034	3	{v=13}
-215932	阿妹	65536	38463	3	{n=0}
-215941	门外	133747	38376	2	{n=0, s=12}
-215944	软硬	136386	36719	1	null
-215945	阿姆	136278	38463	1	null
-215946	重伤	65536	37325	3	{n=6, v=0}
-215953	鱼儿	65536	40060	3	{n=4}
-215955	阿姐	65536	38463	3	{n=0}
-215965	老眼	124862	32769	1	null
-215968	表面	130479	34920	2	{n=34}
-215969	老着	112597	32769	1	null
-215970	飘飘	140200	39128	2	{v=0, vn=1}
-215971	门头	133662	38376	1	null
-215972	通存	121470	36890	1	null
-215979	阿姨	65536	38463	3	{n=5}
-215984	铜线	65536	38108	3	{n=0}
-215986	钢珠	65536	38050	3	{n=0}
-216009	鱼具	65536	40060	3	{n=0}
-216010	首创	133025	39318	2	{nz=0, v=3, vn=6}
-216027	顺延	65536	39034	3	{v=0}
-216029	软磁	126181	36719	1	null
-216031	西欧	65536	35199	3	{ns=21}
-216038	超级	132708	36229	2	{b=7, d=0}
-216045	集约	142092	38598	2	{v=2, vd=2, vn=0}
-216048	铜绿	65536	38108	3	{n=0}
-216058	集纳	65536	38598	3	{v=0, vn=2}
-216065	通宵	121569	36890	2	{n=1}
-216068	软磨	65536	36719	3	{v=0}
-216070	钢琴	136814	38050	2	{n=86}
-216071	鸡头	135557	40481	2	{n=0}
-216073	阿婆	65536	38463	3	{n=1}
-216077	鱼冻	65536	40060	3	{n=0}
-216090	集结	65536	38598	3	{v=3, vn=0}
-216092	超绝	65536	36229	3	{z=1}
-216094	骨子	129145	39592	2	{n=0}
-216097	雪域	65536	38634	3	{n=3}
-216113	表音	65536	34920	3	{v=0}
-216116	骨学	65536	39592	3	{n=0}
-216120	顺当	65536	39034	3	{a=1}
-216124	酒水	65536	37202	3	{n=0}
-216127	过敏	135786	36807	2	{v=3, vn=0}
-216136	雪堆	65536	38634	3	{n=0}
-216137	降龙	142557	38477	1	null
-216139	鸡奸	65536	40481	3	{v=0}
-216143	自生	114557	33258	1	null
-216145	音准	65536	38899	3	{n=0}
-216146	该路	65536	35813	3	{r=2}
-216148	重修	133462	37325	1	null
-216149	超编	65536	36229	3	{v=0, vn=1}
-216152	自用	65536	33258	3	{v=0, vn=1}
-216154	防假	65536	38450	3	{v=1}
-216155	麻栗	145508	40635	1	null
-216161	自由	147324	33258	2	{a=42, ad=11, an=12, n=0}
-216163	飘香	65536	39128	3	{v=3}
-216168	酒池	126340	37202	1	null
-216170	静谧	65536	38745	3	{a=3, an=0}
-216171	自画	127163	33258	1	null
-216189	随手	65536	38543	3	{d=6}
-216191	铁器	65536	38081	3	{n=1}
-216194	预埋	144621	39044	1	null
-216201	自留	125540	33258	1	null
-216204	鱼刺	65536	40060	3	{n=0}
-216210	转战	65536	36716	3	{v=5, vn=0}
-216212	骨密	142248	39592	1	null
-216215	面团	65536	38754	3	{n=0}
-216220	顺德	140591	39034	2	{ns=26}
-216221	软禁	65536	36719	3	{v=3, vn=0}
-216232	顺心	65536	39034	3	{a=1}
-216242	食油	65536	39135	3	{n=2}
-216247	远眺	65536	36828	3	{v=4, vn=0}
-216252	麦迪	130976	40614	1	null
-216253	通山	136931	36890	2	{ns=0}
-216258	难懂	65536	38590	3	{a=1}
-216261	转手	65536	36716	3	{v=2, vd=0}
-216264	钢瓶	65536	38050	3	{n=0}
-216273	酒泉	65536	37202	3	{ns=7}
-216277	过日	133821	36807	1	null
-216281	过早	65536	36807	3	{d=6}
-216291	超群	123063	36229	2	{nz=0, v=1, vn=0}
-216294	过时	65536	36807	3	{a=16}
-216301	软科	133208	36719	1	null
-216321	西汉	65536	35199	3	{t=0}
-216323	配系	65536	37197	3	{n=0}
-216324	血衣	65536	34880	3	{n=0}
-216328	飞宏	65536	39134	3	{nz=0}
-216338	转折	127637	36716	2	{v=3, vn=9}
-216343	西江	125850	35199	2	{ns=1}
-216357	麦道	65536	40614	3	{nz=0}
-216358	苦闷	65536	33510	3	{a=1, ad=0, an=1}
-216370	连片	65536	36830	3	{b=0, n=0, v=5, vn=1}
-216371	阴文	65536	38452	3	{n=0}
-216377	花环	65536	33457	3	{n=3}
-216379	领海	138475	39046	2	{n=1}
-216390	雨蛙	65536	38632	3	{n=0}
-216394	音势	65536	38899	3	{n=0}
-216398	酒浆	65536	37202	3	{n=0}
-216401	西沙	114904	35199	2	{ns=10}
-216402	说话	131040	35828	2	{v=25, vn=0}
-216404	警钟	114577	35686	2	{n=8}
-216407	西沟	125781	35199	1	null
-216409	除锈	141811	38500	2	{v=0}
-216410	车皮	65536	36710	3	{n=2}
-216414	雪夜	65536	38634	3	{n=1}
-216421	起码	65536	36215	3	{b=3, d=11}
-216425	说说	65536	35828	3	{v=2}
-216427	雪天	65536	38634	3	{n=1}
-216430	铁块	65536	38081	3	{n=0}
-216440	警铃	65536	35686	3	{n=0}
-216446	难找	65536	38590	3	{a=0}
-216447	飞将	144515	39134	1	null
-216448	首发	141464	39318	2	{v=3, vn=0}
-216451	说谎	65536	35828	3	{v=0}
-216461	花球	65536	33457	3	{n=0}
-216463	阿富	134578	38463	1	null
-216466	进程	65536	36827	3	{n=227}
-216481	集聚	65536	38598	3	{v=5, vn=5}
-216484	闲钱	65536	38386	3	{n=0}
-216488	雅韵	65536	38597	3	{n=2}
-216489	重元	127522	37325	1	null
-216490	选用	65536	36873	3	{v=6, vn=1}
-216493	自白	127785	33258	2	{n=0}
-216501	西泽	65536	35199	3	{nr=0}
-216503	老祖	122235	32769	1	null
-216507	预处	135135	39044	1	null
-216510	预备	140546	39044	2	{v=0, vn=0}
-216511	门子	65536	38376	3	{n=2}
-216515	西洋	130880	35199	2	{n=3, ns=0}
-216517	音区	65536	38899	3	{n=0}
-216518	药铺	65536	33647	3	{n=3}
-216521	该车	65536	35813	3	{r=2}
-216526	防冻	135095	38450	2	{vn=4}
-216535	阿尔	144820	38463	1	null
-216538	音协	65536	38899	3	{j=0}
-216539	重兵	65536	37325	3	{n=0}
-216540	转换	134386	36716	2	{v=37, vn=6}
-216542	送达	65536	36865	3	{v=17}
-216543	防凌	65536	38450	3	{v=0}
-216547	转捩	127639	36716	1	null
-216551	阿尤	137690	38463	1	null
-216557	苦难	65536	33510	3	{a=0, n=6}
-216568	送还	65536	36865	3	{v=3}
-216575	重写	65536	37325	3	{v=3}
-216579	茶钱	65536	33590	3	{n=0}
-216580	草豆	115344	33609	1	null
-216582	面塑	65536	38754	3	{n=0}
-216591	过期	65536	36807	3	{v=3, vd=0, vn=1}
-216593	门客	65536	38376	3	{n=0}
-216599	苦雨	128175	33510	2	{n=0}
-216603	鱼叉	65536	40060	3	{n=0}
-216605	隐没	65536	38544	3	{v=0}
-216607	转接	65536	36716	3	{v=0}
-216608	阴晴	138649	38452	1	null
-216609	轻蔑	65536	36731	3	{v=1}
-216616	自相	123115	33258	1	null
-216618	通州	137066	36890	2	{ns=0}
-216619	酒渣	118486	37202	1	null
-216625	自省	65536	33258	3	{v=2, vn=0}
-216628	警长	131812	35686	2	{n=15}
-216629	鱼口	65536	40060	3	{n=0}
-216643	阴暗	123407	38452	2	{a=1, an=1, v=1}
-216660	音叉	65536	38899	3	{n=0}
-216661	过来	137044	36807	2	{v=39}
-216665	解铃	120664	35299	1	null
-216666	茶锈	65536	33590	3	{n=0}
-216672	进站	65536	36827	3	{v=2, vn=0}
-216673	红铃	108904	32418	1	null
-216675	音变	65536	38899	3	{n=0}
-216680	门对	65536	38376	3	{n=0}
-216683	铁塔	65536	38081	3	{n=5}
-216685	花瓣	127925	33457	2	{n=5}
-216688	超脱	65536	36229	3	{a=1, v=0}
-216693	门将	65536	38376	3	{n=2}
-216695	重刑	65536	37325	3	{n=0}
-216698	红铜	65536	32418	3	{n=0}
-216704	花瓶	65536	33457	3	{n=0}
-216705	重创	65536	37325	3	{v=1, vn=2}
-216708	通常	136104	36890	2	{a=0, b=2, d=24}
-216715	预委	144590	39044	1	null
-216719	重利	65536	37325	3	{n=0}
-216722	集腋	138254	38598	1	null
-216724	轻薄	65536	36731	3	{a=1}
-216728	音名	65536	38899	3	{n=0}
-216730	连环	137289	36830	2	{b=5, ns=1}
-216739	麦金	146821	40614	1	null
-216741	阴曹	65536	38452	3	{n=0}
-216742	钢盔	65536	38050	3	{n=0}
-216745	花生	128577	33457	2	{n=15}
-216746	红锌	112604	32418	1	null
-216750	茶镜	65536	33590	3	{n=0}
-216753	防办	65536	38450	3	{j=3}
-216756	防务	65536	38450	3	{n=11, vn=0}
-216757	阴有	138596	38452	1	null
-216759	重剑	65536	37325	3	{n=0}
-216762	除险	65536	38500	3	{v=0}
-216764	花甲	65536	33457	3	{n=0}
-216765	软管	65536	36719	3	{n=0}
-216766	防劫	65536	38450	3	{vn=1}
-216779	连珠	128928	36830	2	{n=0}
-216784	雨衣	65536	38632	3	{n=0}
-216787	远祖	65536	36828	3	{n=0}
-216792	铁壁	122340	38081	1	null
-216798	铜臭	65536	38108	3	{n=0}
-216801	配给	137498	37197	2	{v=0}
-216802	调治	65536	35843	3	{vn=0}
-216805	说走	131741	35828	1	null
-216806	草质	115904	33609	1	null
-216812	说起	65536	35828	3	{v=0}
-216816	西游	116473	35199	2	{nz=1}
-216817	连理	65536	36830	3	{n=1}
-216823	老窖	65536	32769	3	{n=0}
-216825	零用	127373	38646	2	{n=0, v=0}
-216829	选登	65536	36873	3	{v=1}
-216833	重力	139385	37325	2	{n=4}
-216836	重办	65536	37325	3	{v=0}
-216838	门岗	65536	38376	3	{n=0}
-216843	鸡尸	138142	40481	1	null
-216846	西湖	65536	35199	3	{ns=15}
-216849	鸡尾	130222	40481	1	null
-216853	自知	127826	33258	2	{v=1}
-216859	鬼神	65536	39740	3	{n=1}
-216860	鬼祟	65536	39740	3	{a=0}
-216862	道经	65536	36947	3	{n=0}
-216865	鸡屎	65536	40481	3	{n=0}
-216871	转播	135009	36716	2	{v=3, vn=2}
-216873	防化	141086	38450	2	{b=0}
-216877	阴极	138617	38452	2	{n=0}
-216878	道统	65536	36947	3	{n=0}
-216880	顺手	135357	39034	2	{a=0, d=4}
-216887	面如	141987	38754	1	null
-216888	远离	65536	36828	3	{v=18}
-216891	除雪	65536	38500	3	{vn=3}
-216896	骨干	133891	39592	2	{n=66}
-216907	该部	65536	35813	3	{r=6}
-216908	音品	65536	38899	3	{n=0}
-216909	防区	65536	38450	3	{n=1}
-216917	过桥	121046	36807	1	null
-216920	音响	138612	38899	2	{n=7}
-216921	鱼唇	65536	40060	3	{n=0}
-216923	通式	65536	36890	3	{n=0}
-216929	骨库	65536	39592	3	{n=0}
-216933	调派	65536	35843	3	{v=0}
-216936	调流	65536	35843	3	{j=2}
-216943	起程	65536	36215	3	{v=1}
-216945	过梁	65536	36807	3	{n=0}
-216950	配置	65536	37197	3	{n=8, v=23, vn=25}
-216956	重化	135522	37325	1	null
-216958	防卫	65536	38450	3	{v=1, vn=3}
-216960	阴柔	65536	38452	3	{a=0}
-216961	青丝	65536	38738	3	{n=2}
-216968	远程	65536	36828	3	{b=9, d=0}
-216973	解闷	65536	35299	3	{v=0}
-216995	起稿	65536	36215	3	{v=0}
-216997	身经	125926	36523	1	null
-217007	除非	138825	38500	2	{c=3}
-217015	阿巴	121894	38463	1	null
-217016	闲雅	65536	38386	3	{an=1}
-217030	阿布	140670	38463	1	null
-217031	茶陵	127892	33590	1	null
-217035	解阵	131835	35299	1	null
-217036	通往	65536	36890	3	{v=19}
-217039	金不	134379	37329	1	null
-217044	钢砂	65536	38050	3	{n=0}
-217046	重印	133156	37325	2	{v=0}
-217055	金丝	136283	37329	2	{n=0}
-217073	重压	65536	37325	3	{n=1, v=1, vn=1}
-217074	软糖	65536	36719	3	{n=0}
-217077	青云	133341	38738	2	{n=1, nr=0}
-217082	解除	65536	35299	3	{v=14, vn=0}
-217095	花白	65536	33457	3	{z=5}
-217103	通心	126499	36890	1	null
-217107	连用	65536	36830	3	{v=0}
-217108	车票	65536	36710	3	{n=9}
-217123	金乡	138387	37329	1	null
-217124	车祸	65536	36710	3	{n=6}
-217128	随时	124450	38543	2	{d=37}
-217134	药面	65536	33647	3	{n=0}
-217135	起立	65536	36215	3	{v=1}
-217154	超范	133284	36229	1	null
-217158	重叠	65536	37325	3	{v=3, vd=0, vn=0}
-217168	花盆	65536	33457	3	{n=1}
-217169	预定	127518	39044	2	{v=10, vd=0, vn=3}
-217172	解难	65536	35299	3	{v=5, vn=0}
-217176	预审	65536	39044	3	{v=0, vn=2}
-217180	花盒	65536	33457	3	{n=0}
-217181	解雇	65536	35299	3	{v=2, vn=0}
-217186	花盘	65536	33457	3	{n=0}
-217187	门巴	135410	38376	2	{n=0, nz=0}
-217188	食火	125052	39135	1	null
-217195	西澳	65536	35199	3	{ns=0}
-217198	重合	65536	37325	3	{v=0, vn=0}
-217201	门市	124379	38376	2	{n=0}
-217203	通性	65536	36890	3	{n=0}
-217206	远竹	65536	36828	3	{nr=0}
-217208	起笔	65536	36215	3	{n=0}
-217217	选矿	65536	36873	3	{v=0, vn=0}
-217223	门帘	65536	38376	3	{n=1}
-217234	重听	65536	37325	3	{a=0}
-217242	阴森	135322	38452	2	{a=0}
-217255	红霉	111292	32418	1	null
-217257	配股	65536	37197	3	{v=1}
-217266	飞弹	65536	39134	3	{n=0}
-217267	雪山	65536	38634	3	{n=7}
-217271	车程	65536	36710	3	{n=0}
-217273	金价	65536	37329	3	{n=14}
-217277	雄赳	127050	38596	1	null
-217281	酸黄	129478	37240	1	null
-217284	行礼	65536	34892	3	{v=0}
-217286	花眼	65536	33457	3	{n=0}
-217296	鼓锤	65536	40723	3	{n=0}
-217298	阿式	65536	38463	3	{b=2}
-217314	阿弟	65536	38463	3	{n=0}
-217320	阿弥	123929	38463	1	null
-217321	首场	65536	39318	3	{b=0, n=0}
-217324	追问	65536	36861	3	{v=2}
-217329	自私	114618	33258	2	{a=2, an=1}
-217336	老粗	65536	32769	3	{n=0}
-217337	飞往	65536	39134	3	{v=9}
-217341	麻油	65536	40635	3	{n=0}
-217345	野翅	126606	37326	1	null
-217346	血象	65536	34880	3	{n=0}
-217349	面子	65536	38754	3	{n=4}
-217350	门店	65536	38376	3	{n=6}
-217353	面孔	65536	38754	3	{n=12}
-217356	预展	65536	39044	3	{v=0, vn=0}
-217361	通情	121589	36890	1	null
-217363	说辞	65536	35828	3	{n=0}
-217372	门庭	140571	38376	2	{n=1}
-217373	金佛	65536	37329	3	{n=0}
-217376	自称	65536	33258	3	{v=5}
-217387	老糊	117654	32769	1	null
-217394	雪峰	65536	38634	3	{n=4}
-217401	门廊	65536	38376	3	{n=1}
-217403	调演	65536	35843	3	{v=0, vn=0}
-217411	车窗	65536	36710	3	{n=3}
-217415	鸡年	65536	40481	3	{t=0}
-217418	集萃	65536	38598	3	{n=0}
-217426	路规	65536	36335	3	{n=0}
-217429	遗毒	65536	36951	3	{n=0}
-217444	飞快	65536	39134	3	{z=1}
-217448	雄踞	65536	38596	3	{v=2}
-217451	雪崩	65536	38634	3	{n=3}
-217452	随机	138785	38543	2	{b=0, d=3, z=0}
-217454	面容	65536	38754	3	{n=2}
-217457	西点	65536	35199	3	{n=0}
-217466	阿德	128684	38463	1	null
-217470	见钱	121919	35265	1	null
-217475	警风	65536	35686	3	{n=1}
-217476	集落	65536	38598	3	{vn=1}
-217477	车站	65536	36710	3	{n=41}
-217484	鱼场	65536	40060	3	{n=0}
-217485	追随	125262	36861	2	{v=3}
-217486	走街	135265	36208	1	null
-217491	行程	116638	34892	2	{n=11, v=1}
-217492	遗民	65536	36951	3	{n=0}
-217495	重唱	65536	37325	3	{n=1}
-217503	钢种	65536	38050	3	{n=0}
-217504	花砖	65536	33457	3	{n=1}
-217518	面对	125539	38754	2	{p=0, v=155, vn=0}
-217524	转机	132184	36716	2	{n=9}
-217538	门当	136345	38376	1	null
-217543	血账	65536	34880	3	{n=0}
-217544	说道	65536	35828	3	{v=4}
-217557	轻装	125117	36731	2	{ad=0, d=2, n=1, v=0}
-217567	转来	119791	36716	1	null
-217568	软组	124152	36719	1	null
-217575	隐火	65536	38544	3	{n=0}
-217576	轻裘	123810	36731	1	null
-217578	选票	65536	36873	3	{n=11}
-217587	门径	65536	38376	3	{n=0}
-217592	顶灯	65536	39030	3	{n=0}
-217595	自立	126994	33258	2	{v=20, vn=5}
-217601	门徒	65536	38376	3	{n=0}
-217617	软绵	124108	36719	1	null
-217622	音型	65536	38899	3	{n=0}
-217629	铁将	139562	38081	1	null
-217636	红领	119265	32418	1	null
-217638	配舞	65536	37197	3	{v=1}
-217642	软缎	65536	36719	3	{n=0}
-217643	连着	65536	36830	3	{d=0, v=2}
-217646	解题	65536	35299	3	{v=0}
-217649	茶食	65536	33590	3	{n=0}
-217652	雅鲁	129034	38597	1	null
-217658	红颜	65536	32418	3	{n=0}
-217665	药饵	65536	33647	3	{n=0}
-217666	顶点	65536	39030	3	{n=0}
-217676	见长	65536	35265	3	{v=5}
-217677	车管	131221	36710	2	{j=2}
-217679	选种	65536	36873	3	{v=2}
-217684	退票	121911	36864	2	{n=0, v=2, vn=1}
-217693	车箱	65536	36710	3	{n=0}
-217695	零碎	65536	38646	3	{a=0, an=3}
-217698	食物	145528	39135	2	{n=18}
-217704	铁屑	65536	38081	3	{n=1}
-217705	钢窗	65536	38050	3	{n=0}
-217706	音域	65536	38899	3	{n=0}
-217722	配色	65536	37197	3	{v=0}
-217745	金像	136957	37329	2	{n=2}
-217750	鸡心	65536	40481	3	{n=0}
-217753	通才	65536	36890	3	{n=3}
-217759	银本	140500	38134	1	null
-217764	银朱	65536	38134	3	{n=0}
-217769	自筹	65536	33258	3	{v=6, vn=2}
-217770	鱼塘	65536	40060	3	{n=3}
-217773	青光	133272	38738	1	null
-217774	红餐	65536	32418	3	{j=0}
-217786	麦门	146950	40614	1	null
-217791	茶饭	65536	33590	3	{n=1}
-217793	选稿	65536	36873	3	{v=1}
-217794	银杏	134163	38134	2	{n=2}
-217795	超薄	65536	36229	3	{b=1}
-217796	铁岭	136394	38081	2	{ns=1}
-217800	见闻	65536	35265	3	{n=6}
-217812	银条	127051	38134	1	null
-217814	轻视	65536	36731	3	{v=7, vn=0}
-217816	茶馆	65536	33590	3	{n=1, nz=1}
-217826	银杯	65536	38134	3	{n=0}
-217829	茶馓	65536	33590	3	{n=0}
-217830	钢笔	137477	38050	2	{n=3}
-217832	花神	65536	33457	3	{nz=0}
-217836	青冈	142370	38738	1	null
-217841	通报	138147	36890	2	{n=11, v=28, vd=1, vn=3}
-217843	雄辩	65536	38596	3	{a=0, d=0, n=1}
-217844	路警	65536	36335	3	{n=0}
-217850	退税	128492	36864	2	{v=2, vn=4}
-217859	老红	124802	32769	1	null
-217861	金元	65536	37329	3	{n=0}
-217862	青冢	65536	38738	3	{n=0}
-217863	解饱	65536	35299	3	{v=0}
-217867	金光	121452	37329	2	{n=2}
-217870	鼓面	65536	40723	3	{n=1}
-217872	轻言	124294	36731	1	null
-217879	过氧	135934	36807	1	null
-217885	钢筋	65536	38050	3	{n=10}
-217889	解馋	65536	35299	3	{a=0}
-217892	老练	65536	32769	3	{a=0, an=0}
-217899	退稿	65536	36864	3	{n=0, v=0, vn=0}
-217906	金兰	139792	37329	1	null
-217910	草酸	65536	33609	3	{n=0}
-217923	防地	65536	38450	3	{n=0}
-217931	预应	143701	39044	1	null
-217933	调焦	65536	35843	3	{v=0}
-217935	过江	137166	36807	1	null
-217943	花种	65536	33457	3	{n=0}
-217946	重围	65536	37325	3	{n=1}
-217950	青出	143695	38738	1	null
-217951	钢箍	65536	38050	3	{n=0}
-217954	金冠	65536	37329	3	{n=0, nz=0}
-217958	骨折	65536	39592	3	{v=7, vn=2}
-217971	钢管	65536	38050	3	{n=2}
-217975	配药	65536	37197	3	{v=1}
-217982	阴毒	65536	38452	3	{a=0}
-217983	转椅	65536	36716	3	{n=0}
-217996	草野	65536	33609	3	{n=1}
-217998	重在	65536	37325	3	{v=7}
-217999	非一	137939	38750	1	null
-218003	进而	65536	36827	3	{c=25, d=0, v=2}
-218006	重地	65536	37325	3	{n=1}
-218018	非专	144040	38750	1	null
-218019	过河	131927	36807	1	null
-218022	金凤	138875	37329	2	{n=0}
-218026	该镇	65536	35813	3	{r=6}
-218028	银根	127052	38134	2	{n=6}
-218033	领班	65536	39046	3	{n=2, v=1}
-218035	面巾	131856	38754	1	null
-218039	面市	65536	38754	3	{v=1}
-218060	追风	121156	36861	1	null
-218075	面带	139803	38754	1	null
-218076	金刚	138746	37329	2	{n=1, nz=0}
-218079	零税	133949	38646	1	null
-218081	防城	133721	38450	2	{ns=2}
-218084	顶牛	65536	39030	3	{v=1}
-218085	飞扬	140113	39134	2	{v=5, vn=0}
-218093	野花	65536	37326	3	{n=2}
-218097	重型	65536	37325	3	{b=5}
-218098	顺服	65536	39034	3	{a=0}
-218108	铁工	65536	38081	3	{n=0}
-218111	老羞	120594	32769	1	null
-218114	阿房	138945	38463	1	null
-218129	阿扎	138802	38463	1	null
-218139	阿托	140725	38463	1	null
-218142	软脂	119370	36719	2	{n=0}
-218146	老翁	65536	32769	3	{n=1}
-218155	顺杆	143861	39034	1	null
-218158	飞抵	65536	39134	3	{v=3}
-218159	见面	132203	35265	2	{v=27, vn=0}
-218165	阴沉	134402	38452	2	{a=1}
-218177	非亲	125285	38750	1	null
-218179	西王	124644	35199	1	null
-218182	红骨	103690	32418	1	null
-218185	非人	65536	38750	3	{b=0}
-218187	阴沟	65536	38452	3	{n=0}
-218195	面庞	65536	38754	3	{n=0}
-218210	老老	122249	32769	1	null
-218214	老者	65536	32769	3	{n=2}
-218234	鼓风	142147	40723	2	{v=0}
-218245	野草	65536	37326	3	{n=3}
-218246	非价	137355	38750	1	null
-218249	软腭	65536	36719	3	{n=0}
-218252	阿拉	142301	38463	1	null
-218256	钢精	122142	38050	2	{n=0}
-218258	遗漏	65536	36951	3	{v=1, vn=1}
-218266	血迹	65536	34880	3	{n=1}
-218273	铁床	65536	38081	3	{n=0}
-218277	西班	122969	35199	1	null
-218278	门户	141456	38376	2	{n=4}
-218280	非伙	143765	38750	1	null
-218282	雪恨	65536	38634	3	{v=0}
-218283	软膏	65536	36719	3	{n=0}
-218286	门房	65536	38376	3	{n=0}
-218287	非传	131564	38750	1	null
-218295	重塑	65536	37325	3	{v=6}
-218298	香云	133410	39321	1	null
-218299	青南	65536	38738	3	{ns=0}
-218301	闹钟	65536	38393	3	{n=0}
-218308	花笺	112971	33457	2	{n=0}
-218309	该院	65536	35813	3	{r=19}
-218311	路费	65536	36335	3	{n=1}
-218325	非但	65536	38750	3	{c=6}
-218332	花筒	65536	33457	3	{n=0}
-218347	非作	138932	38750	1	null
-218356	钢索	65536	38050	3	{n=0}
-218358	走访	65536	36208	3	{v=35, vn=7}
-218366	酒瓶	65536	37202	3	{n=1}
-218374	野菊	126302	37326	1	null
-218378	轻诺	133234	36731	1	null
-218384	金华	138407	37329	2	{nr=1, ns=0}
-218385	过渡	136359	36807	2	{v=25, vn=13}
-218386	首季	65536	39318	3	{n=1}
-218392	野菜	65536	37326	3	{a=1, n=1}
-218394	防备	65536	38450	3	{v=1, vn=0}
-218401	食用	137710	39135	2	{v=7, vn=5}
-218403	金卡	65536	37329	3	{n=1}
-218409	领略	65536	39046	3	{v=18, vn=0}
-218410	麻烦	147774	40635	2	{a=6, an=12, n=0, v=0, vn=2}
-218412	隐现	65536	38544	3	{v=0}
-218413	金卫	65536	37329	3	{ns=2}
-218418	走读	125302	36208	2	{v=0}
-218423	花箭	65536	33457	3	{n=3}
-218424	门拉	136342	38376	1	null
-218426	走调	65536	36208	3	{v=0}
-218435	香会	65536	39321	3	{n=0}
-218454	青史	65536	38738	3	{n=3}
-218465	野营	134471	37326	2	{vn=1}
-218467	门拴	65536	38376	3	{n=0}
-218469	首家	65536	39318	3	{b=0, d=1, n=1}
-218480	车组	65536	36710	3	{n=0}
-218482	老脑	114146	32769	1	null
-218483	重复	134955	37325	2	{a=1, ad=0, v=17, vd=6, vn=6}
-218486	顶班	65536	39030	3	{v=0}
-218488	花篮	65536	33457	3	{n=3}
-218491	首富	65536	39318	3	{n=3}
-218509	重大	65536	37325	3	{a=327, an=0, d=0}
-218512	食疗	65536	39135	3	{n=1}
-218515	金发	65536	37329	3	{n=0, nr=0}
-218516	西瓜	65536	35199	3	{n=7}
-218519	野葛	65536	37326	3	{n=0}
-218520	通敌	65536	36890	3	{v=0}
-218521	老脸	65536	32769	3	{n=0}
-218522	重头	134470	37325	2	{n=1}
-218523	见风	132121	35265	1	null
-218525	野葡	125974	37326	1	null
-218527	老脾	118045	32769	1	null
-218530	鱼子	129924	40060	2	{n=0}
-218533	金口	132017	37329	1	null
-218538	预想	65536	39044	3	{v=1, vn=0}
-218545	长一	134998	38271	1	null
-218546	金台	124659	37329	2	{nz=0}
-218552	金叶	65536	37329	3	{n=1, nr=0, nz=0}
-218554	长三	141268	38271	2	{j=1}
-218555	长上	65536	38271	3	{n=0}
-218556	重奖	65536	37325	3	{n=2, v=3, vn=0}
-218570	金合	132439	37329	1	null
-218580	过滤	135156	36807	2	{v=2, vn=0}
-218582	预感	65536	39044	3	{n=1, v=1}
-218586	铁心	123746	38081	2	{v=0}
-218589	转正	65536	36716	3	{v=0, vn=0}
-218593	长丰	139802	38271	1	null
-218598	门捷	140492	38376	1	null
-218605	首尾	135346	39318	2	{n=3}
-218611	西画	65536	35199	3	{n=0}
-218614	长久	65536	38271	3	{a=6, ad=2, an=0}
-218615	首屈	145841	39318	1	null
-218617	首届	65536	39318	3	{b=0}
-218624	金吾	133421	37329	1	null
-218625	长乐	137179	38271	1	null
-218631	花籽	65536	33457	3	{n=0}
-218633	自给	121510	33258	2	{v=7, vn=3}
-218636	集装	131695	38598	1	null
-218637	自绝	65536	33258	3	{v=0}
-218643	花粉	126514	33457	2	{n=0}
-218647	闹闹	140054	38393	1	null
-218650	红鱼	65536	32418	3	{n=1}
-218658	西番	118531	35199	1	null
-218662	飞播	65536	39134	3	{v=2, vn=0}
-218667	阴湿	65536	38452	3	{a=0}
-218668	阿摩	138877	38463	1	null
-218669	调理	65536	35843	3	{v=1}
-218672	首岁	65536	39318	3	{t=1}
-218676	雨过	140621	38632	1	null
-218692	音容	141091	38899	2	{n=0}
-218694	酒瘾	65536	37202	3	{n=0}
-218706	自缢	65536	33258	3	{v=0}
-218711	行经	65536	34892	3	{v=0}
-218714	通明	65536	36890	3	{z=3}
-218719	花糕	65536	33457	3	{n=0}
-218723	长亲	65536	38271	3	{n=0}
-218727	骨料	65536	39592	3	{n=0}
-218735	金咭	65536	37329	3	{nz=0}
-218739	野蔷	125589	37326	1	null
-218742	非僧	125295	38750	1	null
-218747	走资	127322	36208	1	null
-218750	起脚	65536	36215	3	{v=0}
-218762	钢纸	65536	38050	3	{n=0}
-218763	鬼胎	65536	39740	3	{n=0}
-218768	鱼尾	134717	40060	2	{n=0}
-218783	通晓	65536	36890	3	{v=2, vn=0}
-218786	转氨	133989	36716	1	null
-218787	音尘	65536	38899	3	{n=0}
-218791	走走	65536	36208	3	{v=5}
-218800	过激	65536	36807	3	{v=2, vn=1}
-218801	顶用	65536	39030	3	{a=0}
-218802	连篇	125672	36830	1	null
-218816	重婚	126962	37325	2	{v=0}
-218824	青啤	65536	38738	3	{j=0}
-218825	食盐	65536	39135	3	{n=1}
-218827	食盒	65536	39135	3	{n=2}
-218829	酒盅	65536	37202	3	{n=0}
-218833	长传	65536	38271	3	{n=0}
-218840	钢缆	65536	38050	3	{n=3}
-218844	该项	65536	35813	3	{r=14}
-218857	非党	143893	38750	1	null
-218858	遗照	65536	36951	3	{n=0}
-218862	送风	131691	36865	1	null
-218865	食相	65536	39135	3	{n=0}
-218868	说长	116864	35828	1	null
-218869	鬼脸	65536	39740	3	{n=0}
-218870	路轨	65536	36335	3	{n=0}
-218872	花絮	65536	33457	3	{n=1}
-218874	行署	65536	34892	3	{n=9}
-218875	非公	142920	38750	1	null
-218880	长住	65536	38271	3	{v=2, vn=1}
-218897	难民	138037	38590	2	{n=30}
-218898	老花	115194	32769	2	{a=0, b=1}
-218900	随波	126116	38543	1	null
-218918	走路	65536	36208	3	{v=12, vn=1}
-218923	非农	144067	38750	2	{b=3, j=1}
-218928	送餐	121968	36865	1	null
-218931	自考	65536	33258	3	{j=2, v=1, vn=0}
-218938	隐疾	65536	38544	3	{n=0}
-218941	草长	115734	33609	1	null
-218945	选线	65536	36873	3	{vn=2}
-218948	雪挂	65536	38634	3	{n=0}
-218949	自耕	127003	33258	1	null
-218951	路边	65536	36335	3	{s=7}
-218959	调用	65536	35843	3	{v=1}
-218965	路过	65536	36335	3	{v=7}
-218967	隐痛	65536	38544	3	{n=1}
-218970	阿斗	65536	38463	3	{n=0, nr=0}
-218971	过火	65536	36807	3	{a=0, v=0}
-218972	预报	143258	39044	2	{v=4, vn=55}
-218978	转注	65536	36716	3	{n=0, v=1}
-218982	西皮	65536	35199	3	{n=1}
-218983	说闲	118012	35828	1	null
-218992	非凡	65536	38750	3	{z=7}
-218994	阿斯	141195	38463	1	null
-218995	茶鸡	114830	33590	1	null
-219002	车胎	65536	36710	3	{n=3}
-219004	阿方	65536	38463	3	{n=3, nr=0}
-219010	起舞	65536	36215	3	{v=1}
-219015	闹革	140128	38393	1	null
-219016	老茧	65536	32769	3	{n=1}
-219021	行者	65536	34892	3	{n=0}
-219022	起航	65536	36215	3	{v=1, vn=0}
-219023	通权	121600	36890	1	null
-219026	阿族	65536	38463	3	{j=0, nz=0}
-219029	非分	144038	38750	2	{b=0}
-219032	选编	65536	36873	3	{v=1, vn=4}
-219035	防守	65536	38450	3	{v=2, vn=7}
-219036	静静	141703	38745	1	null
-219037	路透	124838	36335	2	{nz=0}
-219042	路途	65536	36335	3	{n=2}
-219045	见高	132171	35265	1	null
-219047	远航	65536	36828	3	{v=3, vn=0}
-219052	西直	113872	35199	1	null
-219053	通条	65536	36890	3	{n=0}
-219071	重孙	136682	37325	2	{n=1}
-219075	重孝	65536	37325	3	{n=0}
-219083	花繁	127239	33457	1	null
-219087	阿昌	136451	38463	1	null
-219089	野蚕	65536	37326	3	{n=0}
-219094	起色	65536	36215	3	{n=2}
-219100	首席	65536	39318	3	{b=1, n=19}
-219106	自育	65536	33258	3	{v=2}
-219109	防寒	135559	38450	2	{v=0, vn=6}
-219113	该馆	65536	35813	3	{r=1}
-219116	遗物	65536	36951	3	{n=5}
-219119	重安	131839	37325	1	null
-219122	阿是	131167	38463	1	null
-219128	长假	65536	38271	3	{n=0}
-219131	酒石	122010	37202	1	null
-219138	红鹤	65536	32418	3	{n=1}
-219139	骨朵	65536	39592	3	{n=0}
-219142	顺次	65536	39034	3	{d=0}
-219145	见鬼	65536	35265	3	{v=0}
-219152	选美	65536	36873	3	{v=0}
-219153	红鹳	65536	32418	3	{n=0}
-219157	退缩	65536	36864	3	{v=1, vn=2}
-219162	连累	65536	36830	3	{v=0}
-219174	银河	128814	38134	2	{n=1, ns=0, nz=0}
-219178	野蛮	65536	37326	3	{a=0, an=1}
-219179	防尘	129324	38450	2	{vn=0}
-219180	花红	127243	33457	2	{n=0}
-219186	重富	132134	37325	1	null
-219190	静音	65536	38745	3	{vn=1}
-219195	花纱	124676	33457	1	null
-219196	雨量	141332	38632	2	{n=1}
-219199	鬼节	65536	39740	3	{t=0}
-219202	花纸	128493	33457	2	{n=0}
-219203	花纹	65536	33457	3	{n=1}
-219211	首府	65536	39318	3	{n=14}
-219220	鱼市	65536	40060	3	{n=0}
-219225	红麻	65536	32418	3	{n=0}
-219227	通栏	65536	36890	3	{n=0}
-219231	顶盖	65536	39030	3	{n=0}
-219242	铁打	132726	38081	1	null
-219246	鬼花	141776	39740	1	null
-219254	轻车	127676	36731	1	null
-219256	轻轨	65536	36731	3	{n=0}
-219262	银洋	65536	38134	3	{n=0}
-219268	骨架	65536	39592	3	{n=3}
-219270	老营	65536	32769	3	{n=0}
-219275	轻轻	134459	36731	2	{b=0, d=10, z=1}
-219279	车臣	135529	36710	2	{ns=16}
-219304	顶真	65536	39030	3	{a=0, n=0}
-219309	起草	65536	36215	3	{v=10, vn=3}
-219311	金园	138565	37329	1	null
-219313	音带	65536	38899	3	{n=0}
-219314	转游	65536	36716	3	{v=0}
-219315	飞机	143122	39134	2	{n=109}
-219327	阿曼	134248	38463	2	{ns=0}
-219336	金圆	138825	37329	1	null
-219349	调皮	114220	35843	2	{a=1}
-219354	选聘	65536	36873	3	{v=2, vn=0}
-219356	道袍	65536	36947	3	{n=0}
-219358	飞来	141650	39134	2	{v=1, vn=0}
-219360	超计	134535	36229	1	null
-219364	非单	143784	38750	1	null
-219365	非卖	142398	38750	1	null
-219372	闹风	133235	38393	1	null
-219376	走边	65536	36208	3	{n=0}
-219378	金地	65536	37329	3	{nz=0}
-219380	集训	133699	38598	2	{v=5, vn=2}
-219381	长兄	65536	38271	3	{n=0}
-219382	顺民	65536	39034	3	{n=0}
-219384	退而	125601	36864	1	null
-219386	隐睾	132902	38544	1	null
-219390	走过	132960	36208	2	{u=0, v=18}
-219394	首当	144965	39318	1	null
-219399	走运	65536	36208	3	{a=0}
-219400	走近	65536	36208	3	{v=9}
-219402	铁拳	65536	38081	3	{n=0}
-219406	隐瞒	65536	38544	3	{v=7, vn=0}
-219410	走进	65536	36208	3	{v=1}
-219417	顺水	144518	39034	1	null
-219418	音序	65536	38899	3	{n=0}
-219421	金坛	135809	37329	2	{ns=0}
-219429	长兴	65536	38271	3	{ns=0}
-219439	飞架	65536	39134	3	{v=1}
-219442	青城	65536	38738	3	{n=1, ns=2}
-219444	选育	65536	36873	3	{v=5, vn=3}
-219448	退职	121923	36864	2	{v=0, vn=0}
-219453	面授	137879	38754	2	{v=0}
-219455	香化	65536	39321	3	{v=1}
-219465	草鞋	65536	33609	3	{n=0}
-219468	重峦	138118	37325	1	null
-219486	青基	143577	38738	1	null
-219523	闹饥	128147	38393	1	null
-219524	走遍	65536	36208	3	{v=9}
-219530	走道	65536	36208	3	{n=0, v=0}
-219536	金城	135858	37329	2	{nr=1, nz=0}
-219547	非同	144143	38750	1	null
-219552	顺治	65536	39034	3	{t=0}
-219553	起落	128863	36215	2	{v=1, vn=0}
-219555	铁掌	65536	38081	3	{n=0}
-219556	长凳	65536	38271	3	{n=0}
-219561	过犹	137240	36807	1	null
-219562	非君	130402	38750	1	null
-219582	连结	65536	36830	3	{v=2}
-219585	行船	65536	34892	3	{n=0, v=1}
-219589	音强	65536	38899	3	{n=0}
-219602	通榆	136963	36890	2	{ns=0}
-219608	连续	137828	36830	2	{a=121, ad=59, an=1, d=1, v=1}
-219610	配角	65536	37197	3	{n=3}
-219614	飞桥	65536	39134	3	{n=4}
-219616	连绵	137755	36830	2	{z=3}
-219617	自花	127643	33258	1	null
-219622	预支	65536	39044	3	{v=0}
-219624	食积	65536	39135	3	{n=0}
-219627	连缀	65536	36830	3	{v=1}
-219629	预收	137397	39044	1	null
-219630	门板	65536	38376	3	{n=1}
-219642	行色	130305	34892	2	{n=0}
-219644	阿根	138214	38463	1	null
-219645	麻疹	65536	40635	3	{n=0}
-219650	长剑	65536	38271	3	{n=0}
-219665	道观	65536	36947	3	{n=0}
-219669	鸡杂	65536	40481	3	{n=0}
-219670	音律	65536	38899	3	{n=0}
-219673	铜质	65536	38108	3	{n=1}
-219685	首恶	65536	39318	3	{n=0}
-219686	顺流	131897	39034	1	null
-219707	调研	132371	35843	2	{j=0, v=6, vn=10}
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-219710	领空	65536	39046	3	{n=4}
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-219728	预料	65536	39044	3	{v=6, vn=1}
-219730	青壮	139652	38738	1	null
-219740	银滩	65536	38134	3	{ns=0}
-219742	超负	121891	36229	1	null
-219744	门柱	65536	38376	3	{n=0}
-219757	行若	125483	34892	1	null
-219760	长势	65536	38271	3	{n=4}
-219775	集贸	139304	38598	2	{j=0}
-219776	自荐	65536	33258	3	{v=0, vd=0, vn=1}
-219779	钢花	138691	38050	2	{n=1}
-219787	集资	135925	38598	2	{v=20, vd=0, vn=14}
-219789	青天	133506	38738	2	{n=0}
-219804	香味	65536	39321	3	{n=4}
-219805	草食	65536	33609	3	{b=0}
-219806	酒窖	65536	37202	3	{n=0}
-219812	领章	65536	39046	3	{n=0}
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-219829	门框	65536	38376	3	{n=2}
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-219842	花脸	65536	33457	3	{n=0}
-219843	连翘	65536	36830	3	{n=0}
-219845	顶礼	131426	39030	1	null
-219849	超越	65536	36229	3	{v=31, vd=0, vn=2}
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-219864	鸡栅	65536	40481	3	{n=0}
-219868	遗留	65536	36951	3	{v=4, vn=12}
-219869	轻重	136278	36731	2	{n=0}
-219870	花腔	65536	33457	3	{n=0}
-219871	轻量	124355	36731	1	null
-219873	轻金	133134	36731	1	null
-219881	金大	139876	37329	1	null
-219884	重庆	135539	37325	2	{ns=76}
-219885	老蚌	115733	32769	1	null
-219894	雪暴	65536	38634	3	{n=0}
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-219916	重度	65536	37325	3	{a=0, b=4, d=0}
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-219960	青委	143598	38738	1	null
-219965	隐私	136620	38544	2	{n=8}
-219973	麻省	65536	40635	3	{ns=1, nz=0}
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-219982	面料	65536	38754	3	{n=2}
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-219989	自营	65536	33258	3	{b=0, v=2, vn=4}
-219994	闹鬼	65536	38393	3	{v=0}
-219998	退色	65536	36864	3	{v=0}
-220000	重建	65536	37325	3	{v=34, vn=13}
-220029	酒筵	65536	37202	3	{n=0}
-220033	顺溜	136388	39034	1	null
-220034	长发	65536	38271	3	{n=0}
-220041	血雨	118362	34880	1	null
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-220058	食管	135256	39135	2	{n=0}
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-220082	长吁	130548	38271	1	null
-220084	防御	140651	38450	2	{v=10, vn=6}
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-220089	难点	65536	38590	3	{n=34}
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-220097	防微	135492	38450	1	null
-220103	首战	144247	39318	1	null
-220110	远虑	65536	36828	3	{n=0}
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-220114	门楣	65536	38376	3	{n=2}
-220115	进行	133209	36827	2	{v=1303, vn=16}
-220118	预期	65536	39044	3	{v=6, vn=12}
-220119	重影	65536	37325	3	{n=0}
-220128	香喷	143901	39321	1	null
-220130	调离	65536	35843	3	{v=1}
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-220184	雄风	65536	38596	3	{n=11}
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-220210	草驴	65536	33609	3	{n=0}
-220213	雪柳	65536	38634	3	{n=0}
-220215	麻石	65536	40635	3	{n=0}
-220219	花花	128966	33457	1	null
-220231	花芽	65536	33457	3	{n=0}
-220234	门槛	65536	38376	3	{n=7}
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-220256	通气	135027	36890	2	{v=1, vn=0}
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-220300	非国	141299	38750	1	null
-220312	花茎	65536	33457	3	{n=1}
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-220325	超车	65536	36229	3	{v=2}
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-220348	超载	65536	36229	3	{v=2, vn=0}
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-220385	阴电	138816	38452	2	{n=0}
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-220394	雪梨	65536	38634	3	{n=0}
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-220457	长啸	65536	38271	3	{v=2}
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-220503	雨雪	65536	38632	3	{n=1}
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-220553	道贺	65536	36947	3	{v=0}
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-220607	银牌	65536	38134	3	{n=11}
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-220645	长嘴	65536	38271	3	{n=1}
-220659	铁柜	65536	38081	3	{n=0}
-220661	集邮	142791	38598	2	{v=0, vn=5}
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-220667	身败	134755	36523	1	null
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-220686	零落	65536	38646	3	{a=1, v=0}
-220690	飞沙	129220	39134	1	null
-220700	铁栅	133851	38081	1	null
-220704	金属	139113	37329	2	{n=11}
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-220710	铁栏	134058	38081	1	null
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-220716	过眼	137124	36807	1	null
-220723	金山	65536	37329	3	{nr=1, nz=0}
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-220730	草鱼	65536	33609	3	{n=0}
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-220739	银狐	65536	38134	3	{n=1}
-220740	龙井	135151	40857	2	{n=0, nz=3}
-220756	青峰	65536	38738	3	{n=2}
-220764	首播	65536	39318	3	{v=2}
-220767	铁案	137593	38081	1	null
-220796	铁桥	65536	38081	3	{n=0}
-220809	雪橇	65536	38634	3	{n=0}
-220811	飞洒	65536	39134	3	{v=1}
-220813	铁桶	65536	38081	3	{n=0}
-220823	领结	65536	39046	3	{n=0}
-220834	调类	65536	35843	3	{n=0}
-220837	阿波	129953	38463	1	null
-220846	鸡毛	146990	40481	2	{n=1}
-220855	防护	139443	38450	2	{v=3, vn=3}
-220857	重打	121435	37325	1	null
-220858	飞流	134983	39134	1	null
-220862	重托	65536	37325	3	{n=6, vn=0}
-220884	花蕊	65536	33457	3	{n=1}
-220890	软设	133820	36719	1	null
-220892	通源	65536	36890	3	{nz=4}
-220895	野趣	65536	37326	3	{n=1}
-220900	铁棍	65536	38081	3	{n=0}
-220905	铁棒	65536	38081	3	{n=0}
-220908	阴着	141399	38452	1	null
-220912	路面	65536	36335	3	{n=19}
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-220923	遗祸	65536	36951	3	{n=0}
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-220935	酒绿	130477	37202	1	null
-220936	花蕾	65536	33457	3	{n=5}
-220937	软语	65536	36719	3	{n=0}
-220940	超重	65536	36229	3	{v=1, vn=0}
-220942	超量	65536	36229	3	{v=1, vd=2, vn=0}
-220955	静默	65536	38745	3	{v=0, vd=0, vn=0}
-220959	走门	135274	36208	1	null
-220961	飞涨	65536	39134	3	{v=1}
-220962	银环	126311	38134	1	null
-220965	起见	65536	36215	3	{u=0}
-220971	重担	65536	37325	3	{n=3}
-220983	鸡汤	65536	40481	3	{n=1}
-220990	远见	136271	36828	2	{n=6}
-220992	酒缸	65536	37202	3	{n=0}
-220994	青州	139801	38738	2	{ns=0}
-220995	远视	127081	36828	2	{v=0, vn=0}
-221001	青工	65536	38738	3	{n=10}
-221012	长垣	65536	38271	3	{ns=2}
-221018	西红	125626	35199	1	null
-221020	过硬	65536	36807	3	{a=17}
-221047	西线	65536	35199	3	{n=5, s=0}
-221052	自行	127051	33258	2	{b=0, d=20, v=0}
-221055	长城	129815	38271	2	{n=0, ns=42, nz=1}
-221061	身躯	65536	36523	3	{n=4}
-221063	西经	65536	35199	3	{b=0}
-221069	门洞	65536	38376	3	{n=0}
-221076	首日	142274	39318	2	{t=5}
-221077	重振	133565	37325	2	{v=8}
-221082	飞渡	65536	39134	3	{v=1}
-221087	金川	65536	37329	3	{ns=0, nz=1}
-221088	金州	65536	37329	3	{nz=0}
-221090	转用	65536	36716	3	{v=0, vn=0}
-221109	过磅	65536	36807	3	{v=0}
-221111	道轨	65536	36947	3	{n=0}
-221122	遗稿	65536	36951	3	{n=0}
-221123	金币	65536	37329	3	{n=3}
-221135	首映	141494	39318	2	{nr=0, v=3, vn=0}
-221139	音效	65536	38899	3	{n=0}
-221140	行行	130590	34892	1	null
-221144	青年	143789	38738	2	{n=288}
-221151	草鸡	65536	33609	3	{n=0}
-221159	过磷	120012	36807	1	null
-221175	起誓	65536	36215	3	{v=0}
-221176	重排	65536	37325	3	{v=0}
-221182	飞溅	65536	39134	3	{v=4}
-221189	食而	145561	39135	1	null
-221193	配送	65536	37197	3	{v=10, vn=0}
-221199	西罗	129998	35199	1	null
-221218	隐约	141569	38544	2	{z=1}
-221232	顶级	65536	39030	3	{b=1, n=0}
-221238	重提	65536	37325	3	{v=0}
-221246	老话	65536	32769	3	{n=5}
-221261	行装	65536	34892	3	{n=2}
-221269	金库	65536	37329	3	{n=0}
-221273	金店	65536	37329	3	{n=0}
-221276	路风	65536	36335	3	{n=0}
-221284	老调	108406	32769	2	{n=0}
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-221352	进贡	65536	36827	3	{v=0}
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-221547	雄鸡	65536	38596	3	{n=2}
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-221723	道里	137394	36947	1	null
-221734	转瞬	135156	36716	2	{d=1, t=0}
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-223025	起重	129005	36215	2	{b=2}
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-223033	自选	126124	33258	2	{v=0, vn=2}
-223034	钢轨	65536	38050	3	{n=2}
-223049	金文	65536	37329	3	{n=0}
-223051	隐藏	137916	38544	2	{v=14}
-223053	身陷	134026	36523	1	null
-223060	面熟	65536	38754	3	{a=1}
-223075	行进	65536	34892	3	{v=4, vn=0}
-223085	音波	65536	38899	3	{n=0}
-223088	遗臭	138740	36951	1	null
-223089	金斯	133982	37329	1	null
-223093	防止	65536	38450	3	{v=80, vn=0}
-223096	行述	65536	34892	3	{n=0}
-223101	龙城	65536	40857	3	{n=1, ns=1, nz=0}
-223105	行迹	65536	34892	3	{n=1}
-223113	青春	139704	38738	2	{a=0, n=28}
-223118	门生	65536	38376	3	{n=0}
-223124	骨盆	65536	39592	3	{n=1}
-223141	软钉	133242	36719	1	null
-223155	麻药	65536	40635	3	{n=0}
-223166	软钢	65536	36719	3	{n=0}
-223180	重武	137539	37325	1	null
-223182	金昌	65536	37329	3	{ns=5}
-223195	行道	124945	34892	1	null
-223201	金星	137073	37329	2	{n=0, nr=0, nz=1}
-223205	防毒	123238	38450	2	{v=2, vn=0}
-223222	飞白	65536	39134	3	{n=0}
-223227	配音	65536	37197	3	{v=0, vn=0}
-223239	龙塘	146403	40857	1	null
-223247	非技	137735	38750	1	null
-223251	选辑	65536	36873	3	{n=0, v=0}
-223255	超高	135460	36229	2	{b=1}
-223256	领衔	65536	39046	3	{v=0, vd=0, vn=1}
-223258	连贯	133153	36830	2	{a=1, an=0, nr=0}
-223281	通知	138345	36890	2	{n=82, v=33, vn=0}
-223301	雪球	65536	38634	3	{n=1}
-223303	防水	141469	38450	2	{v=1, vn=0}
-223308	软锰	125904	36719	1	null
-223322	领袖	132237	39046	2	{n=16}
-223326	铁片	137695	38081	2	{n=0}
-223342	防汛	65536	38450	3	{v=2, vn=13}
-223345	阿皮	142451	38463	1	null
-223346	铁牛	65536	38081	3	{n=0, nr=0}
-223349	调虎	122802	35843	1	null
-223354	香扑	140679	39321	1	null
-223357	配页	65536	37197	3	{n=0}
-223363	选送	65536	36873	3	{v=4}
-223368	重氢	65536	37325	3	{n=0}
-223370	鱼游	129830	40060	1	null
-223372	青木	65536	38738	3	{nr=0}
-223386	重水	65536	37325	3	{n=0}
-223394	阿盟	65536	38463	3	{j=15, ns=1, nz=1}
-223397	配额	138161	37197	2	{n=8}
-223404	防沙	135481	38450	2	{v=0, vn=0}
-223413	飞眼	65536	39134	3	{n=0}
-223420	连跑	133670	36830	1	null
-223427	首演	65536	39318	3	{v=2, vn=1}
-223428	退还	65536	36864	3	{v=7, vn=3}
-223436	青杨	65536	38738	3	{n=0}
-223438	防治	65536	38450	3	{n=1, v=12, vn=8}
-223450	行酒	131391	34892	1	null
-223458	青松	65536	38738	3	{n=0}
-223459	龙头	148706	40857	2	{n=39, nr=0, nz=0}
-223470	金本	139645	37329	1	null
-223472	花车	65536	33457	3	{n=8}
-223474	鸡瘟	65536	40481	3	{n=0}
-223477	防波	139437	38450	1	null
-223485	自重	65536	33258	3	{a=4, n=0, v=1}
-223486	花轴	65536	33457	3	{n=0}
-223488	青果	142550	38738	2	{n=0}
-223494	龙套	65536	40857	3	{n=0}
-223497	花轿	65536	33457	3	{n=0}
-223512	配餐	65536	37197	3	{vn=0}
-223515	音源	65536	38899	3	{n=0}
-223519	重油	65536	37325	3	{n=1}
-223522	老铁	122078	32769	1	null
-223523	金条	65536	37329	3	{n=2}
-223530	金杨	65536	37329	3	{ns=0}
-223537	金杯	65536	37329	3	{nz=0}
-223549	防洪	139458	38450	2	{v=3, vn=7}
-223555	花边	122767	33457	2	{n=3}
-223561	转经	124953	36716	1	null
-223571	转给	65536	36716	3	{v=3}
-223572	鱼漂	65536	40060	3	{n=0}
-223578	骨碌	65536	39592	3	{v=0}
-223582	金果	65536	37329	3	{nz=0}
-223583	金枝	130377	37329	1	null
-223590	飞短	137488	39134	1	null
-223595	退避	138100	36864	2	{v=0}
-223596	金枪	119905	37329	1	null
-223601	重洋	65536	37325	3	{n=3}
-223602	过节	65536	36807	3	{v=14, vn=5}
-223608	配饰	65536	37197	3	{n=0}
-223611	飞砂	129257	39134	1	null
-223613	西装	113505	35199	2	{n=0}
-223617	鸡皮	137356	40481	2	{n=0}
-223644	西裤	65536	35199	3	{n=1}
-223649	重活	65536	37325	3	{n=1}
-223664	防涝	65536	38450	3	{v=0, vn=1}
-223668	通票	65536	36890	3	{n=0}
-223676	隐血	65536	38544	3	{n=0}
-223680	遗落	65536	36951	3	{v=1}
-223681	长成	65536	38271	3	{v=1}
-223682	金栀	65536	37329	3	{n=1}
-223686	铁环	65536	38081	3	{n=0}
-223695	选配	65536	36873	3	{v=1, vn=0}
-223702	随群	65536	38543	3	{a=0}
-223706	遗著	65536	36951	3	{n=0}
-223721	青梅	132391	38738	2	{n=0}
-223729	软雕	134020	36719	1	null
-223731	隐衷	65536	38544	3	{n=0}
-223737	食言	132778	39135	2	{v=0, vn=1}
-223759	鸡眼	65536	40481	3	{n=0}
-223760	预留	65536	39044	3	{v=2, vn=1}
-223766	金桔	65536	37329	3	{n=10}
-223768	飞碟	65536	39134	3	{n=0, nz=0}
-223771	野食	65536	37326	3	{n=0}
-223783	金桥	65536	37329	3	{n=4, ns=1, nz=1}
-223784	金桦	133442	37329	1	null
-223786	防渗	139329	38450	2	{v=0, vn=1}
-223794	银线	65536	38134	3	{n=2}
-223799	西西	132003	35199	1	null
-223804	通称	65536	36890	3	{n=0, v=0}
-223813	鬼针	133490	39740	1	null
-223820	野餐	65536	37326	3	{n=0}
-223835	老闺	122846	32769	1	null
-223839	连轴	121068	36830	2	{d=0}
-223848	连载	65536	36830	3	{v=0, vn=0}
-223862	青椒	65536	38738	3	{n=3}
-223869	远销	65536	36828	3	{v=3}
-223870	起锚	65536	36215	3	{v=2}
-223878	转而	65536	36716	3	{c=1}
-223879	花都	124735	33457	2	{n=1}
-223887	重温	133577	37325	2	{v=8, vn=0}
-223903	骨科	65536	39592	3	{n=1}
-223908	长拳	65536	38271	3	{n=0}
-223929	零部	143317	38646	1	null
-223930	阴茎	65536	38452	3	{n=0}
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-223945	连连	65536	36830	3	{d=22, v=1}
-223950	非政	139932	38750	1	null
-223956	面生	65536	38754	3	{a=0}
-223961	通窍	65536	36890	3	{v=0}
-223972	防滑	131276	38450	1	null
-224005	连通	135667	36830	2	{v=0}
-224030	零配	143322	38646	1	null
-224039	道高	138733	36947	1	null
-224052	雪盲	65536	38634	3	{n=0}
-224054	飞禽	129262	39134	2	{n=0}
-224073	铁甲	127201	38081	2	{n=0}
-224079	顶视	142341	39030	1	null
-224082	铁画	65536	38081	3	{n=0}
-224085	车钩	65536	36710	3	{n=0}
-224086	花里	115811	33457	1	null
-224090	龙宫	140844	40857	2	{n=0}
-224091	顶角	65536	39030	3	{n=0}
-224093	车钱	65536	36710	3	{n=0}
-224094	金榜	120903	37329	2	{n=2}
-224101	远门	65536	36828	3	{n=0}
-224102	面疱	65536	38754	3	{n=0}
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-224122	重演	65536	37325	3	{v=5, vn=0}
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-224145	连邦	65536	36830	3	{nz=1}
-224148	阿科	136083	38463	1	null
-224165	鬼门	146249	39740	1	null
-224166	银耳	65536	38134	3	{n=0}
-224168	野马	65536	37326	3	{n=0}
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-224176	野驴	65536	37326	3	{n=0}
-224177	起降	65536	36215	3	{v=9, vn=4}
-224178	转脸	65536	36716	3	{d=0}
-224191	领读	65536	39046	3	{v=0}
-224194	香料	65536	39321	3	{n=2}
-224195	老面	122371	32769	1	null
-224205	门神	65536	38376	3	{n=3}
-224211	连部	65536	36830	3	{n=0}
-224215	门票	65536	38376	3	{n=4}
-224222	难胞	65536	38590	3	{n=0}
-224234	软风	65536	36719	3	{n=0}
-224237	龙尾	65536	40857	3	{n=1}
-224251	软食	65536	36719	3	{n=0}
-224253	难能	141695	38590	1	null
-224256	进项	65536	36827	3	{n=2}
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-224265	非智	143014	38750	1	null
-224266	调解	133922	35843	2	{v=14, vd=0, vn=10}
-224270	香日	141346	39321	1	null
-224275	通篇	65536	36890	3	{n=0}
-224282	金橘	65536	37329	3	{n=0}
-224288	龙山	147341	40857	2	{ns=0}
-224298	食谱	65536	39135	3	{n=1}
-224299	车长	65536	36710	3	{n=0}
-224302	阴蒂	65536	38452	3	{n=0}
-224304	自销	121520	33258	2	{v=0, vn=0}
-224313	面的	65536	38754	3	{n=2}
-224323	非暴	143016	38750	1	null
-224326	龙岗	147476	40857	1	null
-224344	龙岩	146414	40857	2	{ns=0}
-224346	钢针	65536	38050	3	{n=2}
-224350	首犯	65536	39318	3	{n=1}
-224352	钢钎	65536	38050	3	{n=0}
-224355	面皮	65536	38754	3	{n=0}
-224358	进食	65536	36827	3	{v=0, vn=0}
-224371	顺美	65536	39034	3	{nz=0}
-224379	面盆	65536	38754	3	{n=0}
-224382	防火	140977	38450	2	{v=2, vn=3}
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-224401	防灾	65536	38450	3	{v=0, vn=1}
-224403	钢铁	122024	38050	2	{n=40}
-224404	车门	65536	36710	3	{n=1}
-224407	进餐	65536	36827	3	{v=0, vn=0}
-224409	鱼片	65536	40060	3	{n=0}
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-224439	连里	65536	36830	3	{n=1}
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-224453	铁皮	137711	38081	2	{n=2}
-224457	非机	143005	38750	1	null
-224459	车队	65536	36710	3	{n=11}
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-224475	远非	65536	36828	3	{d=2, v=0}
-224477	铁盆	65536	38081	3	{n=1}
-224478	老顽	123480	32769	1	null
-224484	重灾	138366	37325	1	null
-224489	铁盒	65536	38081	3	{n=2}
-224505	长效	65536	38271	3	{a=3, b=0, n=0}
-224511	钢锭	65536	38050	3	{n=0}
-224512	防热	138406	38450	1	null
-224513	钢锯	133837	38050	2	{n=0}
-224518	门窗	65536	38376	3	{n=7}
-224519	行长	65536	34892	3	{n=34}
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-224531	领赏	65536	39046	3	{v=0}
-224532	重炮	65536	37325	3	{n=0}
-224536	顺耳	65536	39034	3	{a=0}
-224542	自问	65536	33258	3	{v=0, vn=0}
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-224549	金正	65536	37329	3	{nz=0}
-224550	非林	141847	38750	1	null
-224553	鱼狗	65536	40060	3	{n=0}
-224559	隐讳	65536	38544	3	{v=0}
-224568	长文	65536	38271	3	{n=1}
-224572	长斋	65536	38271	3	{n=0}
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-224617	隐语	65536	38544	3	{n=0}
-224618	长方	141016	38271	1	null
-224624	鸡窝	65536	40481	3	{n=0}
-224626	难色	65536	38590	3	{n=1}
-224636	行间	65536	34892	3	{n=1}
-224641	金殿	65536	37329	3	{ns=0}
-224652	龙川	147345	40857	1	null
-224653	软驱	65536	36719	3	{n=0}
-224667	门第	65536	38376	3	{n=0}
-224683	酒趣	65536	37202	3	{n=0}
-224691	领路	65536	39046	3	{v=0}
-224699	酒足	120017	37202	1	null
-224703	长明	132526	38271	1	null
-224707	青江	65536	38738	3	{ns=0}
-224708	软骨	133825	36719	2	{n=0}
-224715	面砖	65536	38754	3	{n=0}
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-224726	长春	137256	38271	2	{n=0, nr=0, ns=24}
-224729	西贡	65536	35199	3	{ns=0}
-224741	银色	65536	38134	3	{n=3}
-224753	预示	65536	39044	3	{v=7}
-224758	金水	133249	37329	1	null
-224764	调试	131849	35843	2	{v=4, vn=2}
-224767	顺脚	65536	39034	3	{d=0}
-224770	进驻	65536	36827	3	{v=23, vn=0}
-224778	铁石	136023	38081	1	null
-224783	鸡笼	65536	40481	3	{n=0}
-224788	预祝	65536	39044	3	{v=7, vn=0}
-224789	铁矾	138244	38081	1	null
-224790	铁矿	129844	38081	2	{n=2}
-224793	铁砂	65536	38081	3	{n=1}
-224797	阴虱	65536	38452	3	{n=0}
-224803	龙年	65536	40857	3	{t=0}
-224804	银花	65536	38134	3	{n=1}
-224806	金汤	65536	37329	3	{n=0}
-224810	调调	65536	35843	3	{n=0}
-224821	龙庆	145008	40857	1	null
-224822	阿米	138529	38463	1	null
-224823	调谐	65536	35843	3	{a=0, v=0}
-224827	花钱	65536	33457	3	{v=18, vd=0, vn=1}
-224834	起飞	65536	36215	3	{v=10, vn=1}
-224842	银苗	65536	38134	3	{n=0}
-224859	金沙	132227	37329	1	null
-224863	风中	144993	39118	1	null
-224881	香案	65536	39321	3	{n=0}
-224892	花铲	65536	33457	3	{n=0}
-224898	零钱	65536	38646	3	{n=0}
-224899	马丁	137139	39532	1	null
-224904	预科	65536	39044	3	{n=0}
-224906	花销	65536	33457	3	{n=2, v=0}
-224908	马上	65536	39532	3	{d=39, s=0}
-224911	马不	145379	39532	1	null
-224914	风习	65536	39118	3	{n=0}
-224918	青洲	65536	38738	3	{ns=0}
-224926	随葬	141310	38543	1	null
-224935	西路	131394	35199	1	null
-224942	重版	65536	37325	3	{n=0, v=1, vn=0}
-224946	金泰	65536	37329	3	{nz=0}
-224963	风云	145307	39118	2	{n=10}
-224967	银荔	134340	38134	1	null
-224970	青浦	142437	38738	2	{ns=1}
-224973	老马	109968	32769	1	null
-224975	重物	65536	37325	3	{n=0}
-224976	长期	141136	38271	2	{a=0, an=0, b=85, d=157, n=2}
-224987	青海	135634	38738	2	{ns=30}
-224991	重特	136847	37325	1	null
-224998	花镜	65536	33457	3	{n=0}
-224999	飞絮	65536	39134	3	{n=0}
-225000	雪窦	139927	38634	1	null
-225002	门类	65536	38376	3	{n=10, q=0}
-225003	长机	65536	38271	3	{n=3}
-225006	通红	65536	36890	3	{z=5}
-225018	起首	65536	36215	3	{d=0}
-225030	老骥	125514	32769	1	null
-225042	长条	65536	38271	3	{n=0}
-225043	面神	131872	38754	1	null
-225045	重犯	65536	37325	3	{n=0, v=0}
-225052	风仪	65536	39118	3	{n=1}
-225053	面票	65536	38754	3	{n=0}
-225058	车顶	65536	36710	3	{n=2}
-225064	金浦	65536	37329	3	{ns=1}
-225067	通统	65536	36890	3	{d=0}
-225081	金海	131729	37329	1	null
-225095	过街	134475	36807	1	null
-225096	选集	65536	36873	3	{n=1, v=0}
-225103	调质	131188	35843	1	null
-225106	风传	65536	39118	3	{n=0, v=0}
-225109	通缉	138215	36890	2	{v=2, vn=0}
-225115	长枪	65536	38271	3	{n=1}
-225117	野鸡	65536	37326	3	{n=1}
-225128	香椿	143024	39321	2	{n=0}
-225129	野鸭	65536	37326	3	{n=2}
-225131	调资	65536	35843	3	{v=1, vn=1}
-225138	马仰	145800	39532	1	null
-225145	野鸽	65536	37326	3	{n=0}
-225148	退隐	65536	36864	3	{v=0}
-225151	钢鞭	65536	38050	3	{n=0}
-225155	遗言	65536	36951	3	{n=1}
-225184	野鹤	121393	37326	1	null
-225185	骨结	139810	39592	1	null
-225188	面积	65536	38754	3	{n=162}
-225190	自顶	126435	33258	1	null
-225198	自顾	127978	33258	1	null
-225232	香榧	142483	39321	2	{n=0}
-225238	香榭	145832	39321	1	null
-225260	连锁	136343	36830	2	{d=1, v=8, vd=0, vn=19}
-225264	连锅	126320	36830	1	null
-225271	野麻	65536	37326	3	{n=0}
-225277	长桌	65536	38271	3	{n=1}
-225288	香槟	128665	39321	2	{n=1}
-225289	风俗	144914	39118	2	{n=16}
-225295	自食	127109	33258	1	null
-225299	风信	141690	39118	1	null
-225302	重现	65536	37325	3	{v=8, vn=0}
-225303	领道	65536	39046	3	{v=0}
-225304	金湖	138539	37329	2	{ns=0}
-225305	行频	65536	34892	3	{n=1}
-225318	花障	65536	33457	3	{n=0}
-225319	隐身	136657	38544	2	{v=1}
-225322	酒逢	128604	37202	1	null
-225330	长梁	137662	38271	1	null
-225352	香樟	65536	39321	3	{n=0}
-225356	食道	136773	39135	2	{n=0}
-225357	青滩	65536	38738	3	{ns=0}
-225358	预算	144014	39044	2	{n=84, v=0, vn=3}
-225366	行风	65536	34892	3	{n=1}
-225372	野鼠	65536	37326	3	{n=0}
-225375	花雕	65536	33457	3	{n=0}
-225385	阿约	65536	38463	3	{j=0}
-225386	连长	65536	36830	3	{n=5}
-225388	金溪	138540	37329	1	null
-225393	西边	65536	35199	3	{f=1, nr=0}
-225398	阿纳	139775	38463	1	null
-225409	风偏	65536	39118	3	{n=2}
-225410	香橙	65536	39321	3	{n=0}
-225418	麻豆	134792	40635	1	null
-225422	马倌	65536	39532	3	{n=0}
-225445	香橼	65536	39321	3	{n=0}
-225447	首相	141610	39318	2	{n=62, nr=0, p=0}
-225454	铁窗	65536	38081	3	{n=1}
-225457	自馁	65536	33258	3	{v=0}
-225462	长椅	65536	38271	3	{n=0}
-225463	阿维	142470	38463	1	null
-225468	花露	121106	33457	2	{n=0}
-225478	自首	127898	33258	2	{v=3, vn=1}
-225479	零零	137397	38646	1	null
-225483	雪粉	65536	38634	3	{n=0}
-225487	鱼白	65536	40060	3	{n=0}
-225500	花青	116775	33457	1	null
-225516	花面	119379	33457	1	null
-225522	非正	140054	38750	1	null
-225523	非此	142809	38750	1	null
-225529	鬼鬼	136030	39740	1	null
-225531	选项	65536	36873	3	{n=0, v=0}
-225535	鬼魂	65536	39740	3	{n=0}
-225536	面筋	65536	38754	3	{n=0}
-225538	鬼魅	65536	39740	3	{n=0}
-225546	连队	65536	36830	3	{n=21}
-225548	通胀	128845	36890	2	{j=28, v=1}
-225553	鬼魔	65536	39740	3	{n=0}
-225557	花鞋	65536	33457	3	{n=0}
-225559	雪糕	65536	38634	3	{n=8}
-225560	车马	134069	36710	2	{n=0}
-225562	选题	65536	36873	3	{n=2, v=0, vn=0}
-225567	连阴	134973	36830	1	null
-225578	车驾	65536	36710	3	{n=0}
-225579	铁笔	65536	38081	3	{n=0}
-225584	遗训	65536	36951	3	{n=0}
-225597	车骑	65536	36710	3	{n=0}
-225600	鱼目	139024	40060	1	null
-225609	重瓣	126710	37325	1	null
-225613	飞翔	65536	39134	3	{nz=0, v=2, vn=1}
-225617	阿美	141568	38463	1	null
-225618	遗诏	65536	36951	3	{n=0}
-225619	铁笼	65536	38081	3	{n=1}
-225623	骨肉	136038	39592	2	{n=3}
-225634	铁筋	65536	38081	3	{n=0}
-225643	酒酣	126483	37202	1	null
-225659	风光	145122	39118	2	{a=2, n=24, v=1}
-225660	隐退	65536	38544	3	{v=1, vn=0}
-225661	通脱	132019	36890	1	null
-225666	西郊	65536	35199	3	{n=1, s=3}
-225669	重生	130439	37325	1	null
-225671	酒酿	65536	37202	3	{n=0}
-225676	门缝	65536	38376	3	{n=1}
-225678	重用	65536	37325	3	{v=1, vn=0}
-225683	调转	65536	35843	3	{v=0}
-225689	重申	65536	37325	3	{v=52, vn=0}
-225694	重甸	129674	37325	1	null
-225696	西部	123032	35199	2	{f=85, s=1}
-225698	风兰	65536	39118	3	{ns=1, nz=3}
-225700	铁箍	65536	38081	3	{n=0}
-225710	铁算	130132	38081	1	null
-225720	铁管	65536	38081	3	{n=0}
-225726	防疫	130577	38450	2	{v=0, vn=1}
-225732	骨胶	65536	39592	3	{n=0}
-225736	食量	65536	39135	3	{n=0}
-225741	马克	141355	39532	2	{n=6, nr=0, q=21}
-225747	青灯	65536	38738	3	{n=1}
-225748	青灰	65536	38738	3	{n=0}
-225751	酒量	65536	37202	3	{n=0}
-225752	防病	65536	38450	3	{v=1, vn=1}
-225775	马六	135974	39532	1	null
-225778	马兰	65536	39532	3	{n=0}
-225781	马关	139512	39532	2	{ns=0}
-225783	调运	65536	35843	3	{v=11, vn=2}
-225784	马其	126941	39532	1	null
-225787	风凉	129268	39118	2	{a=0}
-225790	行驶	65536	34892	3	{v=12, vn=0}
-225794	调进	65536	35843	3	{v=1}
-225800	自高	114711	33258	1	null
-225815	阿联	125411	38463	1	null
-225823	行骗	65536	34892	3	{v=0, vn=0}
-225835	重病	65536	37325	3	{n=2, v=0}
-225837	重症	65536	37325	3	{n=1}
-225853	香气	140704	39321	2	{n=1}
-225854	面粉	65536	38754	3	{n=5}
-225857	金灿	131181	37329	1	null
-225861	鱼石	134152	40060	1	null
-225862	调速	65536	35843	3	{vn=0}
-225868	骨腾	133599	39592	1	null
-225885	香水	139085	39321	2	{n=1}
-225887	防癌	65536	38450	3	{v=1, vn=2}
-225892	非法	140730	38750	2	{a=2, an=1, b=49, d=30}
-225898	骨膜	137695	39592	2	{n=0}
-225905	顶部	65536	39030	3	{f=1}
-225906	阿肯	129214	38463	1	null
-225910	通航	65536	36890	3	{v=18, vn=3}
-225914	钢骨	132608	38050	2	{n=0}
-225918	随行	139409	38543	2	{n=0, v=6, vn=3}
-225919	面糊	65536	38754	3	{n=0}
-225921	黄体	130684	40644	1	null
-225922	马刀	65536	39532	3	{n=1}
-225924	西里	117089	35199	1	null
-225927	老鸦	65536	32769	3	{n=0}
-225928	香江	65536	39321	3	{ns=8}
-225929	老鸨	65536	32769	3	{n=0}
-225930	调遣	65536	35843	3	{v=0, vn=0}
-225943	风剥	126442	39118	1	null
-225944	鸡翅	65536	40481	3	{n=0}
-225945	马列	145963	39532	2	{j=14}
-225946	老鸹	65536	32769	3	{n=0}
-225968	零食	65536	38646	3	{n=3}
-225970	马到	140891	39532	1	null
-225977	阿胶	65536	38463	3	{n=0}
-225985	非洲	65536	38750	3	{ns=112}
-225987	门联	65536	38376	3	{n=1}
-225990	转行	65536	36716	3	{v=1}
-225993	顺藤	138995	39034	1	null
-225997	风力	65536	39118	3	{n=8}
-225999	马前	144668	39532	1	null
-226001	老鹰	65536	32769	3	{n=0}
-226010	风动	141042	39118	1	null
-226012	香河	144439	39321	2	{ns=2}
-226018	香油	65536	39321	3	{n=1}
-226020	重百	65536	37325	3	{j=3}
-226026	防盗	139907	38450	2	{v=2, vn=19}
-226033	风势	65536	39118	3	{n=1}
-226039	飞腾	65536	39134	3	{v=0}
-226042	花饰	65536	33457	3	{n=2}
-226045	长歌	136925	38271	1	null
-226049	雪线	65536	38634	3	{n=0}
-226053	防盲	65536	38450	3	{v=0}
-226059	香波	65536	39321	3	{n=0}
-226062	金煌	130977	37329	1	null
-226069	长此	141142	38271	1	null
-226077	马力	65536	39532	3	{n=2, nr=0, q=0}
-226082	马加	145976	39532	1	null
-226083	花香	108337	33457	2	{n=1}
-226085	老黄	124379	32769	1	null
-226086	香泽	65536	39321	3	{n=0}
-226105	铁索	133834	38081	2	{n=1}
-226120	风化	65536	39118	3	{n=0, v=0, vn=0}
-226128	骨节	65536	39592	3	{n=1}
-226140	鸡肉	65536	40481	3	{n=2}
-226141	预约	65536	39044	3	{v=3, vn=2}
-226142	鸡肋	65536	40481	3	{n=1}
-226163	鸡肠	126732	40481	1	null
-226164	调配	65536	35843	3	{v=4, vn=4}
-226176	风华	137594	39118	2	{n=1, nz=1}
-226177	老鼠	65536	32769	3	{n=25}
-226188	长毛	140524	38271	1	null
-226197	通草	65536	36890	3	{n=0}
-226199	飞舞	65536	39134	3	{v=6}
-226200	飞舟	65536	39134	3	{n=1, nr=0}
-226215	门脸	65536	38376	3	{n=0}
-226217	风卷	137560	39118	1	null
-226226	飞船	65536	39134	3	{n=16}
-226231	阴谋	138725	38452	2	{n=1, v=0, vd=0, vn=1}
-226235	马匹	65536	39532	3	{n=0}
-226237	风压	65536	39118	3	{n=0}
-226239	银行	141058	38134	2	{n=679}
-226240	飞艇	65536	39134	3	{n=1}
-226251	鸡胸	65536	40481	3	{n=0}
-226253	预编	65536	39044	3	{v=0}
-226275	马卡	142433	39532	1	null
-226277	老龄	124487	32769	2	{b=1}
-226279	麻辣	138991	40635	2	{z=0}
-226298	老龙	122922	32769	1	null
-226318	金牌	132946	37329	2	{n=62}
-226320	长江	141377	38271	2	{ns=86}
-226325	风口	137084	39118	2	{n=0}
-226326	过账	65536	36807	3	{v=0}
-226333	金牛	135752	37329	1	null
-226335	鱼种	65536	40060	3	{n=1}
-226341	预置	65536	39044	3	{v=0}
-226346	飞花	65536	39134	3	{n=0}
-226347	马厩	65536	39532	3	{n=2}
-226354	花骨	122400	33457	1	null
-226360	银装	128794	38134	2	{n=1}
-226361	鱼秧	65536	40060	3	{n=0}
-226370	金犀	130711	37329	1	null
-226371	风向	142827	39118	2	{n=0}
-226378	长沙	139909	38271	2	{ns=35}
-226380	转角	65536	36716	3	{n=0}
-226386	青狮	135357	38738	1	null
-226391	面红	131527	38754	1	null
-226392	香港	144560	39321	2	{ns=554}
-226404	长河	65536	38271	3	{n=6, ns=1}
-226405	马口	127932	39532	1	null
-226406	面纱	65536	38754	3	{n=2}
-226411	风吹	139013	39118	1	null
-226412	长治	141318	38271	2	{ns=0}
-226413	面纸	65536	38754	3	{n=0}
-226425	马号	65536	39532	3	{n=0}
-226429	雪耻	65536	38634	3	{v=0}
-226438	长法	65536	38271	3	{nr=1}
-226440	首站	65536	39318	3	{n=2}
-226448	马后	137169	39532	1	null
-226451	长波	65536	38271	3	{n=0}
-226454	音程	65536	38899	3	{n=0}
-226465	长泰	139919	38271	2	{ns=0}
-226469	风味	131367	39118	2	{n=4}
-226474	酒钢	65536	37202	3	{n=3}
-226480	金狮	65536	37329	3	{nz=0}
-226486	黄冈	143849	40644	2	{ns=1}
-226489	酒钱	65536	37202	3	{n=0}
-226494	风和	139044	39118	1	null
-226501	难觅	65536	38590	3	{v=1}
-226504	铁纱	65536	38081	3	{n=0}
-226507	花魁	65536	33457	3	{n=0}
-226518	铁线	126412	38081	1	null
-226527	过路	137105	36807	2	{b=0, v=0, vn=0}
-226528	鸡舍	65536	40481	3	{n=3}
-226531	难解	124602	38590	1	null
-226540	长活	65536	38271	3	{n=0}
-226541	青玉	65536	38738	3	{n=2}
-226546	长流	133659	38271	1	null
-226560	难言	143158	38590	1	null
-226562	酒铺	65536	37202	3	{n=0}
-226590	面罩	65536	38754	3	{n=0}
-226603	重磅	65536	37325	3	{b=1, n=0}
-226609	骨董	65536	39592	3	{n=1}
-226635	金玉	139954	37329	2	{n=1}
-226641	鱼竿	65536	40060	3	{n=0}
-226643	自鸣	123503	33258	1	null
-226664	黄刺	138305	40644	1	null
-226673	金环	125492	37329	2	{nz=0}
-226676	马哲	144532	39532	1	null
-226684	遗迹	65536	36951	3	{n=5}
-226722	金珠	130401	37329	2	{nz=1}
-226729	麻酥	130681	40635	1	null
-226737	音符	65536	38899	3	{n=3}
-226741	麻酱	65536	40635	3	{n=0}
-226742	长清	139922	38271	1	null
-226765	麻醉	146890	40635	2	{v=0, vn=2}
-226787	领队	65536	39046	3	{n=1}
-226795	阿萨	142377	38463	1	null
-226801	随访	65536	38543	3	{v=1}
-226814	连鬓	124809	36830	1	null
-226823	长湖	65536	38271	3	{ns=4}
-226833	顶针	65536	39030	3	{n=1}
-226840	铁老	137746	38081	1	null
-226851	转让	65536	36716	3	{v=12, vn=10}
-226867	黄包	131207	40644	1	null
-226876	音箱	65536	38899	3	{n=0}
-226890	青瓦	142395	38738	1	null
-226891	转译	65536	36716	3	{vn=1}
-226906	面肥	65536	38754	3	{n=0}
-226907	青瓷	65536	38738	3	{n=2}
-226925	过载	65536	36807	3	{vn=0}
-226932	重税	65536	37325	3	{n=0}
-226941	转调	65536	36716	3	{v=0}
-226949	黄南	65536	40644	3	{ns=1}
-226957	防空	141205	38450	2	{vn=0}
-226964	香火	65536	39321	3	{n=3}
-226969	香灰	65536	39321	3	{n=0}
-226970	长滩	137585	38271	2	{ns=0}
-226976	西门	128920	35199	2	{n=0, nr=0, ns=0}
-226993	金瓯	133921	37329	2	{n=0}
-226994	香炉	65536	39321	3	{n=0}
-226996	黄历	65536	40644	3	{n=0}
-227000	金瓶	133255	37329	1	null
-227013	鱼米	147136	40060	1	null
-227021	鱼类	143785	40060	2	{n=19}
-227035	鱼粉	65536	40060	3	{n=1}
-227053	黄县	65536	40644	3	{ns=1}
-227058	金田	65536	37329	3	{ns=0}
-227059	雪花	130309	38634	2	{n=16}
-227060	难说	127399	38590	2	{v=0}
-227076	香烛	65536	39321	3	{n=0}
-227080	香烟	135481	39321	2	{n=9}
-227087	过速	65536	36807	3	{a=0}
-227089	黄口	144503	40644	1	null
-227096	阴转	139396	38452	1	null
-227111	调销	65536	35843	3	{v=1}
-227121	铁脚	134076	38081	1	null
-227130	风圈	65536	39118	3	{n=0}
-227136	酒霸	65536	37202	3	{n=0}
-227139	过道	65536	36807	3	{n=2}
-227142	雪茄	134582	38634	2	{n=0}
-227153	风土	145002	39118	2	{n=0}
-227180	铁腕	140418	38081	2	{n=0}
-227184	金疮	65536	37329	3	{n=0}
-227185	顶门	65536	39030	3	{n=0}
-227197	西雅	130021	35199	1	null
-227200	马图	139504	39532	1	null
-227232	转账	65536	36716	3	{v=0, vn=1}
-227241	花鸟	118817	33457	2	{n=1}
-227243	音素	138565	38899	2	{n=0}
-227271	飞虎	127042	39134	1	null
-227289	通融	65536	36890	3	{v=1, vn=0}
-227290	转赠	65536	36716	3	{v=0}
-227297	青白	65536	38738	3	{z=0}
-227298	青百	65536	38738	3	{nz=0}
-227300	飞虫	65536	39134	3	{n=0}
-227310	转赴	65536	36716	3	{v=1}
-227316	雪莲	130023	38634	2	{n=0, nr=0, nz=0}
-227321	黑下	135102	40657	1	null
-227323	黑不	139869	40657	1	null
-227327	阴道	133395	38452	2	{n=1}
-227338	西青	130992	35199	2	{ns=0}
-227340	隐隐	130648	38544	2	{z=2}
-227343	调门	65536	35843	3	{n=0}
-227350	西非	65536	35199	3	{j=0, ns=2}
-227354	西面	65536	35199	3	{f=0}
-227367	面色	65536	38754	3	{n=0}
-227372	调阅	65536	35843	3	{v=1}
-227386	黑乌	148146	40657	1	null
-227388	黑乎	148145	40657	1	null
-227414	首级	65536	39318	3	{n=0}
-227417	调防	65536	35843	3	{v=1}
-227437	阴郁	65536	38452	3	{a=0}
-227440	香片	65536	39321	3	{n=0}
-227447	飞蛾	140246	39134	2	{n=0}
-227451	非独	65536	38750	3	{c=0}
-227455	黑云	144532	40657	1	null
-227458	黑五	136325	40657	1	null
-227473	金盏	126556	37329	1	null
-227476	阴部	65536	38452	3	{n=0}
-227480	通行	122654	36890	2	{v=14, vn=4}
-227483	银质	137969	38134	1	null
-227484	黑亮	148052	40657	2	{z=0}
-227485	花鼓	123728	33457	2	{n=0}
-227492	顺访	65536	39034	3	{v=1}
-227496	黑人	65536	40657	3	{n=12}
-227498	银贷	65536	38134	3	{n=0}
-227502	通衢	65536	36890	3	{n=1}
-227508	青睐	65536	38738	3	{v=4, vn=2}
-227517	过重	65536	36807	3	{v=4, vn=2}
-227519	过量	65536	36807	3	{a=0, v=3, vd=0, vn=1}
-227520	金盾	65536	37329	3	{nz=2}
-227528	铁花	65536	38081	3	{n=0}
-227536	飞蝗	65536	39134	3	{n=0}
-227546	马塘	139575	39532	1	null
-227549	随身	65536	38543	3	{b=1, d=2}
-227552	马塞	144684	39532	1	null
-227559	酒食	134859	37202	2	{n=0}
-227563	面茶	65536	38754	3	{n=0}
-227565	调集	65536	35843	3	{v=4, vn=0}
-227598	骨血	65536	39592	3	{n=0}
-227613	金睛	131235	37329	1	null
-227618	风声	124606	39118	2	{n=3}
-227621	转身	65536	36716	3	{v=8, vn=1}
-227646	鸡虫	143001	40481	1	null
-227649	黑体	65536	40657	3	{n=0}
-227652	鸡虱	65536	40481	3	{n=0}
-227671	青石	137394	38738	2	{n=0}
-227686	风头	65536	39118	3	{n=0}
-227701	酒饭	65536	37202	3	{n=1}
-227705	香獐	142534	39321	1	null
-227718	西风	132306	35199	2	{n=2}
-227722	鱼缸	65536	40060	3	{n=0}
-227723	音缀	65536	38899	3	{n=0}
-227726	酒馆	65536	37202	3	{n=0}
-227733	非理	139563	38750	1	null
-227742	鸡蛋	144713	40481	2	{n=12}
-227745	酒香	65536	37202	3	{n=0}
-227747	鱼网	65536	40060	3	{n=0}
-227753	马大	144331	39532	1	null
-227757	马夫	65536	39532	3	{n=0, nr=0}
-227763	马失	144968	39532	1	null
-227765	金石	140028	37329	2	{n=1, nr=0}
-227766	马头	136295	39532	2	{n=0}
-227777	金矿	65536	37329	3	{n=1}
-227781	飞行	145932	39134	2	{n=1, v=32, vn=32}
-227784	西餐	130926	35199	2	{n=1}
-227791	黑信	65536	40657	3	{n=0}
-227808	转车	65536	36716	3	{v=0}
-227810	转轨	65536	36716	3	{v=7, vn=13}
-227814	转转	65536	36716	3	{v=2}
-227816	转轮	131361	36716	2	{n=0}
-227822	转轴	65536	36716	3	{n=0}
-227830	鱼群	65536	40060	3	{n=0}
-227831	转载	65536	36716	3	{v=3, vn=0}
-227832	马奶	65536	39532	3	{n=0}
-227854	通观	65536	36890	3	{v=0}
-227863	鱼翅	65536	40060	3	{n=0}
-227866	长物	65536	38271	3	{n=0}
-227887	通解	121545	36890	1	null
-227889	风姿	65536	39118	3	{n=8}
-227896	转达	65536	36716	3	{v=45}
-227912	音羽	65536	38899	3	{nr=0}
-227914	转运	125078	36716	2	{v=0, vn=0}
-227917	黄土	145618	40644	2	{n=15, nr=0}
-227927	顶风	65536	39030	3	{n=0, v=4, vd=0, vn=0}
-227934	首肯	65536	39318	3	{v=2, vn=1}
-227945	金碧	123283	37329	1	null
-227946	转述	65536	36716	3	{v=0}
-227961	随遇	138839	38543	1	null
-227963	转送	65536	36716	3	{v=2, vn=0}
-227993	转速	128926	36716	2	{n=0}
-228014	非生	144052	38750	1	null
-228024	调频	65536	35843	3	{v=0, vn=1}
-228032	首脑	65536	39318	3	{n=80}
-228036	风媒	131707	39118	1	null
-228039	难过	65536	38590	3	{a=2}
-228045	转道	65536	36716	3	{v=0}
-228049	铁蒺	126312	38081	1	null
-228050	防线	65536	38450	3	{n=12}
-228052	顺路	65536	39034	3	{a=0, d=0, v=0}
-228059	鱼肉	65536	40060	3	{n=1, v=0}
-228076	鱼肚	136851	40060	2	{n=1}
-228079	鱼肝	139353	40060	1	null
-228081	黄埃	65536	40644	3	{n=0}
-228098	黄埔	65536	40644	3	{ns=8}
-228100	麻雀	142794	40635	2	{n=6}
-228101	香瓜	65536	39321	3	{n=0}
-228115	鸡血	136776	40481	1	null
-228138	重组	65536	37325	3	{v=25, vn=37}
-228156	防缩	65536	38450	3	{v=0}
-228164	酒鬼	65536	37202	3	{n=0, nz=0}
-228165	香甜	65536	39321	3	{a=5}
-228168	鱼胶	65536	40060	3	{n=0}
-228177	金福	65536	37329	3	{nz=0}
-228179	难道	127377	38590	2	{d=9}
-228220	龙母	130572	40857	1	null
-228222	遗闻	65536	36951	3	{n=0}
-228226	青稞	126693	38738	2	{n=2}
-228237	金秋	65536	37329	3	{t=2}
-228243	金科	130456	37329	1	null
-228279	鱼腥	145575	40060	1	null
-228288	重罚	65536	37325	3	{v=1}
-228298	阿訇	65536	38463	3	{n=0}
-228304	重罪	65536	37325	3	{n=0}
-228306	马子	65536	39532	3	{n=0}
-228313	首航	65536	39318	3	{v=2, vn=1}
-228325	风害	65536	39118	3	{n=0}
-228342	龙汇	65536	40857	3	{nz=4}
-228347	通讯	138909	36890	2	{n=51, v=0}
-228356	风寒	65536	39118	3	{n=3}
-228358	通论	65536	36890	3	{n=0}
-228361	过错	65536	36807	3	{n=2}
-228366	龙江	65536	40857	3	{ns=1}
-228370	黄壤	65536	40644	3	{n=0}
-228381	通译	65536	36890	3	{n=0, v=0}
-228393	通话	122290	36890	2	{v=6, vn=0}
-228401	顶骨	65536	39030	3	{n=0}
-228423	通读	65536	36890	3	{v=0}
-228426	风尘	145003	39118	2	{n=2}
-228428	风尚	65536	39118	3	{n=10}
-228434	鸡西	143425	40481	2	{ns=0}
-228439	非盈	143159	38750	1	null
-228441	通谍	65536	36890	3	{n=0}
-228445	青竹	65536	38738	3	{n=2}
-228472	龙泉	137413	40857	2	{nz=0}
-228502	马尔	145855	39532	1	null
-228519	金童	137165	37329	1	null
-228523	香皂	65536	39321	3	{n=0}
-228524	铁蚕	124676	38081	1	null
-228527	青筋	65536	38738	3	{n=0}
-228542	马尼	140887	39532	1	null
-228544	马尾	139581	39532	2	{ns=0}
-228549	阴错	123760	38452	1	null
-228553	风岗	65536	39118	3	{ns=0}
-228557	龙洞	65536	40857	3	{n=0}
-228560	长生	141383	38271	1	null
-228566	金笔	65536	37329	3	{n=0}
-228568	过门	136465	36807	2	{v=1, vn=0}
-228574	过问	65536	36807	3	{v=5, vn=1}
-228577	长田	65536	38271	3	{nr=0}
-228595	马山	65536	39532	3	{ns=0}
-228605	音色	65536	38899	3	{n=2}
-228611	鱼花	65536	40060	3	{n=0}
-228621	音节	138577	38899	2	{n=0}
-228625	黑匣	144819	40657	1	null
-228626	麻风	137761	40635	2	{n=0}
-228637	马岛	65536	39532	3	{j=0, ns=1}
-228646	龙海	144734	40857	1	null
-228647	顺遂	65536	39034	3	{a=0}
-228649	鱼苗	65536	40060	3	{n=0}
-228664	顺道	65536	39034	3	{v=0, vn=0}
-228687	金箍	133213	37329	1	null
-228694	金箔	65536	37329	3	{n=1}
-228707	防腐	140970	38450	2	{v=0, vn=1}
-228710	飞语	65536	39134	3	{n=0}
-228723	通货	125256	36890	2	{n=5}
-228728	遗韵	65536	36951	3	{n=0}
-228729	黑压	146812	40657	1	null
-228732	预装	65536	39044	3	{v=3}
-228756	阴门	65536	38452	3	{n=0}
-228768	阴间	139406	38452	2	{s=0}
-228799	黑发	65536	40657	3	{n=0}
-228803	阿谀	139764	38463	1	null
-228817	黑口	65536	40657	3	{n=0}
-228818	黑古	129666	40657	1	null
-228821	门警	65536	38376	3	{n=0}
-228830	龙港	65536	40857	3	{ns=0}
-228831	阴阳	142087	38452	2	{b=3, n=0}
-228832	阴阴	135360	38452	1	null
-228836	黑叶	138710	40657	1	null
-228844	金簪	65536	37329	3	{n=0}
-228854	骨质	143827	39592	2	{n=1}
-228859	黑名	146876	40657	1	null
-228869	龙湖	65536	40857	3	{ns=0}
-228885	阴险	134623	38452	2	{an=1}
-228887	黄嫩	144663	40644	1	null
-228904	重臂	65536	37325	3	{n=0}
-228909	龙湾	65536	40857	3	{ns=0}
-228910	长白	139932	38271	2	{ns=0}
-228920	风帆	65536	39118	3	{n=1}
-228921	门诊	136364	38376	2	{n=0, v=1}
-228923	通路	65536	36890	3	{n=0, v=0}
-228937	重臣	65536	37325	3	{n=1}
-228945	遗风	65536	36951	3	{n=3}
-228951	铁血	65536	38081	3	{b=1}
-228952	风带	65536	39118	3	{n=0}
-228961	金粟	139200	37329	1	null
-228975	风帽	65536	39118	3	{n=0}
-228984	预见	140239	39044	2	{n=0, v=3, vn=0}
-228995	黑咕	129676	40657	1	null
-229004	长盛	141400	38271	1	null
-229012	阴雨	138710	38452	2	{n=21}
-229028	风干	65536	39118	3	{v=1, vn=0}
-229029	风平	137162	39118	1	null
-229033	长相	65536	38271	3	{n=0}
-229040	马帮	65536	39532	3	{n=0}
-229045	飞贼	65536	39134	3	{n=0}
-229047	预言	141387	39044	2	{n=3, v=2, vn=0}
-229067	非礼	65536	38750	3	{b=2}
-229073	长眠	141404	38271	2	{v=1, vn=0}
-229080	风度	132441	39118	2	{n=5}
-229083	高一	65536	39640	3	{j=0, n=0}
-229092	高三	65536	39640	3	{j=0, n=2}
-229094	高下	65536	39640	3	{n=1}
-229096	高不	145086	39640	1	null
-229098	阴霾	65536	38452	3	{n=3}
-229110	马年	65536	39532	3	{t=0}
-229111	通身	65536	36890	3	{n=0}
-229123	飞越	65536	39134	3	{v=5, vn=0}
-229125	高个	145787	39640	2	{n=0}
-229128	高中	140748	39640	2	{n=23, v=0}
-229142	防范	65536	38450	3	{v=41, vn=22}
-229144	高丽	145149	39640	1	null
-229145	高举	65536	39640	3	{v=105, vn=1}
-229148	龙潭	140555	40857	2	{ns=5}
-229160	黄寺	65536	40644	3	{ns=0}
-229180	飞跃	65536	39134	3	{v=4, vn=15}
-229190	黄尘	65536	40644	3	{n=1}
-229194	飞跑	65536	39134	3	{v=0}
-229202	黑啤	131022	40657	1	null
-229216	非科	138978	38750	1	null
-229225	高于	65536	39640	3	{v=48}
-229228	高云	65536	39640	3	{n=0}
-229245	高亢	65536	39640	3	{a=4, v=0}
-229250	高产	136589	39640	2	{b=28, n=1, v=1, vn=1}
-229260	长矛	65536	38271	3	{n=1}
-229266	重茬	65536	37325	3	{n=0}
-229269	高人	146624	39640	2	{n=2}
-229270	铁西	139283	38081	2	{ns=0}
-229278	长短	139910	38271	2	{n=7}
-229279	黄山	143881	40644	2	{ns=2}
-229281	阴韵	65536	38452	3	{n=0}
-229284	长石	65536	38271	3	{n=0}
-229298	通车	65536	36890	3	{v=18, vn=6}
-229321	黄岛	65536	40644	3	{ns=2}
-229330	高价	65536	39640	3	{d=3, n=4}
-229335	黄岩	143874	40644	2	{ns=3}
-229337	铁观	121691	38081	1	null
-229371	银针	65536	38134	3	{n=1}
-229382	青红	133555	38738	1	null
-229385	通辽	134400	36890	2	{ns=1}
-229386	通达	65536	36890	3	{v=0, vn=0}
-229387	高估	65536	39640	3	{v=1}
-229395	通过	128894	36890	2	{p=558, v=173, vn=3}
-229397	青纱	139817	38738	1	null
-229405	预警	138442	39044	2	{v=1, vn=4}
-229406	龙灯	65536	40857	3	{n=5}
-229410	黑嘴	127741	40657	1	null
-229412	银钱	65536	38134	3	{n=0}
-229416	高位	138853	39640	2	{b=0, n=4}
-229417	高低	144203	39640	2	{a=0, n=22, nr=1}
-229419	遗骨	65536	36951	3	{n=0}
-229430	鱼藤	65536	40060	3	{n=0}
-229433	马德	128747	39532	1	null
-229435	遗骸	65536	36951	3	{n=0}
-229463	风急	137180	39118	1	null
-229464	预计	65536	39044	3	{v=91, vn=0}
-229465	预订	65536	39044	3	{v=5, vn=2}
-229470	门路	65536	38376	3	{n=18}
-229472	通途	65536	36890	3	{n=0}
-229474	转门	65536	36716	3	{n=0}
-229475	青绿	65536	38738	3	{a=0, b=2}
-229478	通通	65536	36890	3	{d=1, v=0}
-229497	雪谷	65536	38634	3	{n=0}
-229498	阴风	65536	38452	3	{n=0}
-229535	通道	65536	36890	3	{n=23}
-229536	银锭	65536	38134	3	{n=0}
-229563	雪豹	65536	38634	3	{n=2, nz=0}
-229565	鱼虫	65536	40060	3	{n=0}
-229569	随随	142605	38543	1	null
-229570	预谋	65536	39044	3	{n=0, v=0, vn=1}
-229584	鱼虾	65536	40060	3	{n=1}
-229596	转院	65536	36716	3	{v=0}
-229599	飞车	129282	39134	2	{n=1}
-229607	飞轮	65536	39134	3	{n=0}
-229623	风情	145219	39118	2	{n=19}
-229626	通邮	65536	36890	3	{v=10, vn=1}
-229627	难闻	65536	38590	3	{a=0}
-229644	黄州	146644	40644	1	null
-229645	黑土	145909	40657	2	{n=2}
-229648	黄巢	131740	40644	1	null
-229662	黑地	65536	40657	3	{n=0}
-229676	黄巾	131746	40644	1	null
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-229761	阿达	130187	38463	1	null
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-229770	面试	65536	38754	3	{n=1, v=4, vn=3}
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-229785	通配	126949	36890	1	null
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-229816	青联	65536	38738	3	{j=6}
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-229860	预购	65536	39044	3	{v=0}
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-229906	预赛	65536	39044	3	{n=11, vn=0}
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-230042	马战	65536	39532	3	{n=1}
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-230108	香粳	65536	39321	3	{n=1}
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-230148	高利	130458	39640	2	{d=0, n=0}
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-230219	马拉	144214	39532	1	null
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-230264	长篇	138569	38271	2	{b=16, n=1}
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-230287	阿里	139206	38463	2	{ns=9}
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-230421	青花	133962	38738	2	{n=1}
-230432	雪连	131042	38634	1	null
-230434	高升	128402	39640	2	{ns=0, v=1}
-230452	金色	65536	37329	3	{n=24}
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-230476	高危	65536	39640	3	{a=0}
-230478	非线	139580	38750	1	null
-230486	非织	127302	38750	1	null
-230491	铁蹄	65536	38081	3	{n=1}
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-230502	高压	145397	39640	2	{b=0, n=5}
-230510	非统	65536	38750	3	{j=0}
-230515	金花	126297	37329	2	{n=0, nr=1, nz=0}
-230522	高原	65536	39640	3	{n=52, nr=2}
-230572	高发	65536	39640	3	{b=2}
-230573	青草	141588	38738	2	{n=8}
-230587	金苹	133531	37329	1	null
-230592	预选	65536	39044	3	{v=0, vn=0}
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-230606	龙生	148763	40857	1	null
-230625	香纸	65536	39321	3	{n=0}
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-230655	风操	65536	39118	3	{n=0}
-230678	青莲	130515	38738	1	null
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-230718	黑子	65536	40657	3	{n=0}
-230720	青菜	141074	38738	2	{n=3}
-230726	通铺	65536	36890	3	{n=0}
-230742	骨针	65536	39592	3	{n=0}
-230743	高呼	65536	39640	3	{v=2}
-230751	顺顺	140314	39034	2	{nz=0}
-230772	金莲	65536	37329	3	{n=1}
-230783	铁轨	65536	38081	3	{n=3}
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-230800	黑客	65536	40657	3	{n=1}
-230820	黑家	127498	40657	1	null
-230835	顺风	143163	39034	2	{v=0, vn=0}
-230848	马放	144750	39532	1	null
-230857	风斗	65536	39118	3	{n=0}
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-230912	青蒜	65536	38738	3	{n=0}
-230913	飞针	129285	39134	1	null
-230924	高唱	65536	39640	3	{v=1}
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-230928	雪野	65536	38634	3	{n=1}
-230947	青蒿	65536	38738	3	{n=0}
-230951	重见	136859	37325	1	null
-230956	重视	65536	37325	3	{a=0, v=278, vn=54}
-230961	马斯	144199	39532	1	null
-230970	音讯	65536	38899	3	{n=0}
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-230976	通间	65536	36890	3	{n=0}
-231003	金蒙	65536	37329	3	{nz=0}
-231004	音译	128781	38899	2	{n=1}
-231007	黑山	147390	40657	2	{ns=0}
-231013	高喊	65536	39640	3	{v=2}
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-231018	铁道	139751	38081	2	{n=5}
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-231046	音读	65536	38899	3	{n=0}
-231047	龙盘	134444	40857	1	null
-231054	音调	65536	38899	3	{n=1}
-231056	长统	126437	38271	1	null
-231069	面部	65536	38754	3	{n=8}
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-231152	马普	140932	39532	1	null
-231211	香脂	65536	39321	3	{n=0}
-231218	门铃	65536	38376	3	{n=0}
-231219	青藏	65536	38738	3	{j=18}
-231226	风月	65536	39118	3	{n=0}
-231276	风机	65536	39118	3	{n=5}
-231280	门锁	65536	38376	3	{n=3}
-231291	鱼贩	143811	40060	2	{n=0}
-231297	鱼贯	134415	40060	1	null
-231345	马术	65536	39532	3	{n=0}
-231346	长老	65536	38271	3	{n=0}
-231347	音质	65536	38899	3	{n=1}
-231350	长者	65536	38271	3	{n=3}
-231379	马村	144803	39532	1	null
-231394	青虾	65536	38738	3	{n=0}
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-231407	银鱼	65536	38134	3	{n=1}
-231408	黑市	65536	40657	3	{n=2}
-231428	黑帖	65536	40657	3	{n=0}
-231433	非艺	137796	38750	1	null
-231435	高地	65536	39640	3	{n=5}
-231445	鱼跃	126345	40060	1	null
-231452	黑帮	65536	40657	3	{n=0}
-231462	银鲳	65536	38134	3	{n=0}
-231467	青蛇	65536	38738	3	{n=0}
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-231484	高坡	65536	39640	3	{n=2}
-231485	青蛙	65536	38738	3	{n=0}
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-231493	高坪	145312	39640	1	null
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-231512	门闩	65536	38376	3	{n=0}
-231521	重读	65536	37325	3	{v=0}
-231523	飞雪	65536	39134	3	{n=7}
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-231535	门阀	65536	38376	3	{n=0}
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-231588	门阵	140497	38376	1	null
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-231615	黄斑	65536	40644	3	{n=0}
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-231655	马桥	127901	39532	1	null
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-231676	高堡	146555	39640	1	null
-231683	雪铁	122633	38634	1	null
-231691	金蝉	126983	37329	1	null
-231701	首车	65536	39318	3	{n=0}
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-231740	黄明	134962	40644	1	null
-231741	黄昏	65536	40644	3	{t=18}
-231750	高填	144322	39640	1	null
-231759	金融	140803	37329	2	{n=867, v=0, vn=0}
-231772	马棚	65536	39532	3	{n=0}
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-231795	长臂	131910	38271	1	null
-231796	高墙	65536	39640	3	{n=4}
-231801	高增	146095	39640	1	null
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-231811	黄晕	65536	40644	3	{z=1}
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-231860	非营	143183	38750	1	null
-231861	重赏	65536	37325	3	{n=0, v=1}
-231864	首选	65536	39318	3	{v=5, vn=0}
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-231883	高声	65536	39640	3	{d=4, nz=0}
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-231920	香菇	65536	39321	3	{n=8}
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-231971	金衡	65536	37329	3	{n=0}
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-232126	防身	65536	38450	3	{v=0}
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-232155	香蒲	65536	39321	3	{n=0}
-232168	香蒿	65536	39321	3	{n=0}
-232169	预防	137010	39044	2	{v=31, vn=6}
-232213	铁链	65536	38081	3	{n=0}
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-232216	铁锁	122460	38081	2	{n=2}
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-232223	铁锈	65536	38081	3	{n=0}
-232241	铁锚	65536	38081	3	{n=0}
-232250	黄栌	65536	40644	3	{n=0}
-232251	铁锤	65536	38081	3	{n=0}
-232253	门风	65536	38376	3	{n=0}
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-232315	首里	143357	39318	1	null
-232330	骨骼	133613	39592	2	{n=3}
-232340	雪青	65536	38634	3	{b=0}
-232341	风正	145241	39118	1	null
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-232367	黄梁	141195	40644	1	null
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-232370	鸡食	65536	40481	3	{n=0}
-232371	黄梅	146554	40644	2	{ns=0}
-232393	马歇	142546	39532	1	null
-232416	香薷	65536	39321	3	{n=0}
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-232425	飞驰	65536	39134	3	{v=3}
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-232447	铁门	65536	38081	3	{n=7}
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-232485	黑户	65536	40657	3	{n=0}
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-232506	重返	65536	37325	3	{v=12, vn=1}
-232518	风气	65536	39118	3	{n=47}
-232538	音量	65536	38899	3	{n=0}
-232550	风水	141762	39118	2	{n=1}
-232563	高官	145245	39640	2	{n=2}
-232584	重逢	65536	37325	3	{v=4, vn=6}
-232609	高密	142588	39640	2	{a=0}
-232621	高寒	145349	39640	2	{a=1, b=7}
-232651	风沙	65536	39118	3	{n=2}
-232666	高寿	65536	39640	3	{n=0}
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-232683	风油	133287	39118	1	null
-232687	高尔	145853	39640	1	null
-232693	高尚	65536	39640	3	{a=36, an=1, ns=0}
-232724	风波	65536	39118	3	{n=26}
-232727	面面	143911	38754	1	null
-232733	高层	139241	39640	2	{n=26}
-232736	高居	65536	39640	3	{v=1}
-232742	高屋	142355	39640	1	null
-232743	风泵	65536	39118	3	{n=0}
-232779	马泉	138293	39532	1	null
-232780	高山	146788	39640	2	{n=3, nr=0, nz=0}
-232784	风洞	65536	39118	3	{n=0}
-232809	铁青	65536	38081	3	{z=0}
-232814	骨鲠	144217	39592	1	null
-232819	风流	145118	39118	2	{a=6, an=1}
-232825	铁面	134525	38081	1	null
-232839	黄橙	140758	40644	1	null
-232840	高岭	144384	39640	1	null
-232860	风浪	65536	39118	3	{n=5}
-232874	青豆	65536	38738	3	{n=0}
-232878	黄檀	65536	40644	3	{n=0}
-232907	高峰	146621	39640	2	{n=24, nr=0, ns=0}
-232918	高峻	65536	39640	3	{a=0}
-232923	非行	65536	38750	3	{j=0}
-232949	飞鱼	65536	39134	3	{n=0}
-232953	马海	138513	39532	1	null
-232988	长虫	65536	38271	3	{n=5}
-233002	长虹	65536	38271	3	{n=0, nz=5}
-233011	重重	138225	37325	2	{d=0, q=0, z=7}
-233013	重量	127283	37325	2	{n=7}
-233015	重金	136064	37325	2	{n=3}
-233023	面颊	65536	38754	3	{n=0}
-233028	阿鲁	138597	38463	1	null
-233041	首钢	65536	39318	3	{n=6}
-233042	面额	65536	38754	3	{n=2}
-233077	黄歇	146523	40644	1	null
-233108	面食	65536	38754	3	{n=1}
-233137	风湿	136328	39118	2	{n=1}
-233145	高州	65536	39640	3	{ns=1}
-233152	高工	65536	39640	3	{j=0, n=2}
-233154	风源	65536	39118	3	{n=3}
-233194	金质	65536	37329	3	{b=0, n=0}
-233211	鱼钩	65536	40060	3	{n=0}
-233216	黄毒	65536	40644	3	{j=3}
-233225	黄毛	147989	40644	1	null
-233230	非西	138177	38750	1	null
-233240	高帽	145889	39640	2	{n=1}
-233262	首长	65536	39318	3	{n=10}
-233273	龙羊	145069	40857	1	null
-233293	高干	65536	39640	3	{n=0}
-233294	高平	65536	39640	3	{ns=2}
-233295	高年	134269	39640	1	null
-233314	黄水	137883	40644	1	null
-233334	马滴	129331	39532	1	null
-233343	黑斑	138106	40657	2	{n=0}
-233345	高度	145423	39640	2	{a=0, ad=0, b=1, d=163, n=64}
-233347	龙翔	147883	40857	2	{nz=0}
-233348	铁饭	129737	38081	1	null
-233363	铁饼	65536	38081	3	{n=0}
-233368	飞鸟	65536	39134	3	{n=1}
-233371	飞鸢	65536	39134	3	{n=0}
-233376	风潮	65536	39118	3	{n=3}
-233415	黄沙	65536	40644	3	{n=0}
-233441	黄河	131679	40644	2	{n=0, nr=0, ns=55, nz=0}
-233447	黄油	65536	40644	3	{n=0}
-233449	飞鹰	65536	39134	3	{n=1, nz=7}
-233463	黄泉	65536	40644	3	{n=0}
-233480	长街	65536	38271	3	{n=5}
-233482	音长	65536	38899	3	{n=0}
-233491	黄泥	143972	40644	1	null
-233492	长衣	65536	38271	3	{n=3}
-233493	高强	65536	39640	3	{a=0, nr=1}
-233500	长衫	65536	38271	3	{n=0}
-233529	黄洋	137990	40644	1	null
-233533	飞黄	132346	39134	1	null
-233534	长袍	65536	38271	3	{n=1}
-233543	长袖	65536	38271	3	{n=0}
-233548	龙肝	147891	40857	1	null
-233549	长袜	65536	38271	3	{n=0}
-233572	黑晶	65536	40657	3	{n=0}
-233581	高徒	65536	39640	3	{n=0}
-233589	龙胆	137673	40857	2	{n=0}
-233593	音问	65536	38899	3	{n=0}
-233603	铁马	65536	38081	3	{n=0}
-233605	黑暗	129502	40657	2	{a=5, an=2, n=0}
-233606	长裕	65536	38271	3	{nr=0}
-233610	长裙	65536	38271	3	{n=2}
-233620	黄浦	146713	40644	2	{ns=2}
-233621	长裤	65536	38271	3	{n=0}
-233629	风火	142554	39118	1	null
-233633	风灯	65536	39118	3	{n=0}
-233637	黄海	65536	40644	3	{n=0, ns=7, nz=0}
-233640	铁骑	65536	38081	3	{n=0}
-233648	风灾	65536	39118	3	{n=0}
-233656	龙脉	65536	40857	3	{n=2}
-233663	铁骨	65536	38081	3	{n=0}
-233665	音阶	65536	38899	3	{n=0}
-233713	马灯	65536	39532	3	{n=0}
-233718	鸡鸣	138105	40481	1	null
-233730	高性	133681	39640	1	null
-233736	重钢	65536	37325	3	{n=0}
-233741	风烛	137705	39118	1	null
-233745	风烟	65536	39118	3	{n=0}
-233746	飞龙	65536	39134	3	{n=0, nz=0}
-233750	黑木	135447	40657	1	null
-233755	防锈	65536	38450	3	{v=0, vn=0}
-233756	黄淮	140000	40644	2	{j=13}
-233767	音障	65536	38899	3	{n=0}
-233773	龙腾	134479	40857	1	null
-233780	青运	143664	38738	1	null
-233789	非议	65536	38750	3	{v=1, vn=2}
-233801	鱼雷	133887	40060	2	{n=0}
-233802	高息	65536	39640	3	{n=5}
-233836	黑松	128721	40657	1	null
-233837	黑板	147234	40657	2	{n=11}
-233851	金边	65536	37329	3	{n=0, ns=3, nz=0}
-233862	非请	130514	38750	1	null
-233863	高悬	65536	39640	3	{v=0}
-233873	黑枣	65536	40657	3	{n=0}
-233880	黑枪	65536	40657	3	{n=0}
-233901	重镇	65536	37325	3	{n=3}
-233913	金迷	127640	37329	1	null
-233933	龙舞	65536	40857	3	{n=1}
-233934	龙舟	65536	40857	3	{n=1, nz=1}
-233960	龙船	65536	40857	3	{n=0}
-233966	门齿	65536	38376	3	{n=0}
-233996	马熊	65536	39532	3	{n=0}
-234026	黑格	144707	40657	1	null
-234033	黑桃	65536	40657	3	{n=0}
-234037	首领	65536	39318	3	{n=1}
-234068	黑桦	65536	40657	3	{n=0}
-234108	防险	65536	38450	3	{vn=2}
-234112	音韵	141173	38899	2	{n=1}
-234137	重阳	126303	37325	2	{t=0}
-234139	风物	65536	39118	3	{n=2}
-234162	黄澄	139479	40644	1	null
-234169	黑棋	144906	40657	2	{n=5}
-234183	非贸	138097	38750	1	null
-234204	黑森	141421	40657	1	null
-234228	风狂	126609	39118	1	null
-234235	防雨	137980	38450	1	null
-234266	防震	136535	38450	2	{v=4, vn=26}
-234268	音频	65536	38899	3	{n=1}
-234271	首饰	135421	39318	2	{n=4}
-234278	高手	65536	39640	3	{n=10}
-234280	高才	136721	39640	1	null
-234285	青釉	133973	38738	1	null
-234287	防霜	135540	38450	1	null
-234288	黑楂	141339	40657	1	null
-234311	高扬	65536	39640	3	{nr=1, v=0}
-234331	高技	140293	39640	1	null
-234346	重霄	65536	37325	3	{n=0}
-234354	高抗	65536	39640	3	{v=1}
-234375	高抬	130563	39640	1	null
-234376	长诗	65536	38271	3	{n=3}
-234382	长话	130718	38271	2	{j=0}
-234413	黄灿	139230	40644	1	null
-234422	高招	65536	39640	3	{n=0}
-234439	鱼饵	65536	40060	3	{n=0}
-234459	雪龙	142002	38634	2	{n=2, nz=1}
-234472	长谷	65536	38271	3	{nr=0}
-234475	鱼香	134317	40060	1	null
-234476	高挑	145916	39640	2	{a=0}
-234509	马王	143599	39532	1	null
-234523	黄热	137886	40644	1	null
-234532	龙葵	65536	40857	3	{n=0}
-234550	铁鸟	65536	38081	3	{n=0}
-234585	重音	65536	37325	3	{n=1}
-234598	风琴	65536	39118	3	{n=0}
-234608	金銮	136631	37329	1	null
-234617	面黄	131470	38754	1	null
-234629	马球	65536	39532	3	{n=0}
-234721	防风	135542	38450	2	{n=0, v=0, vn=1}
-234728	铁黑	65536	38081	3	{z=0}
-234851	音高	65536	38899	3	{n=0}
-234852	长足	65536	38271	3	{a=9, ad=0, vn=0}
-234874	黄牌	132351	40644	2	{n=0}
-234882	长跑	65536	38271	3	{v=2, vn=1}
-234889	黄牛	147214	40644	2	{n=2}
-234894	长距	130258	38271	1	null
-234895	香车	142479	39321	1	null
-234932	马甲	65536	39532	3	{n=0}
-234971	高攀	65536	39640	3	{v=0}
-234987	风疹	142885	39118	2	{n=1}
-235005	龙虎	141827	40857	1	null
-235018	高支	65536	39640	3	{n=0}
-235025	高收	145883	39640	1	null
-235043	高效	136316	39640	2	{a=3, b=35, d=4, z=0}
-235051	风痹	65536	39118	3	{n=0}
-235053	龙虾	65536	40857	3	{n=0}
-235060	高教	138869	39640	2	{j=9}
-235072	青铜	141805	38738	2	{n=4}
-235082	金针	126334	37329	2	{n=0}
-235101	风瘫	65536	39118	3	{n=0}
-235123	金钱	139249	37329	2	{n=17}
-235126	龙蛇	140713	40857	1	null
-235127	黑沉	140515	40657	1	null
-235141	金铃	136716	37329	1	null
-235147	高新	146621	39640	2	{j=0, nz=0}
-235159	防骄	131290	38450	1	null
-235169	黑河	144235	40657	2	{ns=0}
-235175	黑油	140469	40657	1	null
-235191	黄玉	65536	40644	3	{n=0}
-235192	金银	139058	37329	2	{b=2, n=0}
-235229	高昂	65536	39640	3	{a=4, an=0}
-235239	高昌	65536	39640	3	{ns=0}
-235241	高明	142678	39640	2	{a=6, an=1, nr=0, ns=0, nz=0}
-235243	黑泽	65536	40657	3	{nr=0}
-235246	鱼鲜	65536	40060	3	{n=0}
-235276	黑洞	140370	40657	2	{n=6}
-235302	鱼鳔	65536	40060	3	{n=0}
-235312	鱼鳞	144873	40060	2	{n=0}
-235321	长辈	65536	38271	3	{n=10}
-235329	金长	137628	37329	1	null
-235360	非金	140584	38750	1	null
-235365	黑海	65536	40657	3	{n=1, ns=7}
-235375	长达	65536	38271	3	{v=2}
-235404	长进	65536	38271	3	{n=0, vn=0}
-235405	长远	65536	38271	3	{a=46, ad=1, an=8, d=0, n=1, t=0, v=1}
-235406	香酥	125454	39321	1	null
-235407	龙蟠	134491	40857	1	null
-235424	黑液	65536	40657	3	{n=0}
-235434	金门	65536	37329	3	{ns=0}
-235436	金闪	121732	37329	1	null
-235440	香醇	65536	39321	3	{a=1}
-235461	长途	133655	38271	2	{b=10, d=1, n=0}
-235494	高朋	138362	39640	1	null
-235509	金阳	65536	37329	3	{ns=0}
-235523	高木	65536	39640	3	{nr=0}
-235530	黄瓜	136834	40644	2	{n=4}
-235563	高材	136777	39640	1	null
-235564	高村	65536	39640	3	{nr=0}
-235575	金陵	140047	37329	2	{n=0, nr=0, ns=0, nz=0}
-235580	龙袍	65536	40857	3	{n=0}
-235609	高松	65536	39640	3	{nr=0}
-235614	黄田	65536	40644	3	{ns=1}
-235629	青霉	131887	38738	1	null
-235632	高枕	143337	39640	1	null
-235658	黑溜	139989	40657	1	null
-235665	高架	140054	39640	2	{b=0, n=0, vn=3}
-235702	青青	65536	38738	3	{z=3}
-235714	鱼鹰	65536	40060	3	{n=0}
-235718	青面	134386	38738	1	null
-235723	金霉	128082	37329	1	null
-235746	高标	145850	39640	2	{n=0}
-235750	黄疸	65536	40644	3	{n=0}
-235754	高栏	65536	39640	3	{n=0}
-235764	黑漆	139884	40657	1	null
-235772	高校	65536	39640	3	{j=77, n=0}
-235802	风磨	65536	39118	3	{n=0}
-235838	高档	65536	39640	3	{a=0, b=14}
-235840	高桥	128572	39640	2	{nr=0, ns=0, nz=0}
-235877	鱼鼓	65536	40060	3	{n=0}
-235903	长野	139998	38271	2	{ns=37}
-235920	风神	65536	39118	3	{n=0}
-235931	高检	128290	39640	2	{j=0}
-235940	高棉	65536	39640	3	{ns=1}
-235945	黄登	137714	40644	1	null
-235996	黄皮	147979	40644	1	null
-236011	鱼龙	139077	40060	2	{n=0}
-236082	青风	140399	38738	1	null
-236088	金顶	136570	37329	1	null
-236119	高楼	143969	39640	2	{n=7}
-236125	黑灯	137702	40657	1	null
-236127	金额	65536	37329	3	{n=41}
-236131	黑灵	139522	40657	1	null
-236165	非银	129337	38750	1	null
-236187	黑炭	65536	40657	3	{n=0}
-236246	青饲	137919	38738	1	null
-236251	黑热	138170	40657	1	null
-236321	黄石	143989	40644	2	{ns=0}
-236336	黄砂	65536	40644	3	{n=2}
-236365	风笛	65536	39118	3	{n=0}
-236391	马童	65536	39532	3	{n=0}
-236408	黑熊	65536	40657	3	{n=0}
-236431	风筝	65536	39118	3	{n=4}
-236446	防龋	65536	38450	3	{v=0}
-236496	青马	65536	38738	3	{ns=1}
-236515	风箱	65536	39118	3	{n=1}
-236540	高次	140753	39640	1	null
-236581	黄磷	65536	40644	3	{n=0}
-236583	高歌	137339	39640	2	{nr=1, v=2}
-236590	金马	132290	37329	2	{nz=0}
-236621	非难	65536	38750	3	{vn=0}
-236653	香附	142567	39321	1	null
-236741	黑狗	65536	40657	3	{n=0}
-236783	高气	145423	39640	1	null
-236795	黄种	65536	40644	3	{n=0}
-236813	长镜	138602	38271	1	null
-236823	黑猩	138842	40657	1	null
-236844	马粪	133696	39532	1	null
-236848	长长	131100	38271	2	{a=1, d=0, v=0, z=0}
-236863	高汤	65536	39640	3	{n=0}
-236976	高法	65536	39640	3	{j=1}
-236977	马累	65536	39532	3	{n=0}
-236989	高波	65536	39640	3	{nr=0}
-237020	高洁	65536	39640	3	{a=4, nr=3}
-237024	青鱼	65536	38738	3	{n=0}
-237028	长阳	65536	38271	3	{ns=2}
-237077	非领	140684	38750	1	null
-237102	高浓	142591	39640	1	null
-237118	金鱼	127593	37329	2	{n=0, nz=0}
-237120	长随	65536	38271	3	{n=0}
-237144	长隧	65536	38271	3	{n=1}
-237146	龙身	65536	40857	3	{n=0}
-237187	高涨	65536	39640	3	{a=6, an=1, v=1}
-237260	高深	133122	39640	2	{a=2, an=0, nr=0}
-237273	风级	65536	39118	3	{n=0}
-237276	风纪	140060	39118	2	{n=1}
-237285	黑瓷	65536	40657	3	{n=0}
-237312	非饱	142594	38750	1	null
-237315	长青	65536	38271	3	{a=0}
-237316	高温	146517	39640	2	{an=0, n=8}
-237333	龙车	65536	40857	3	{n=1}
-237342	黑田	65536	40657	3	{nr=0}
-237352	马约	65536	39532	3	{j=0, nz=1}
-237391	马绍	142571	39532	1	null
-237443	青鸟	65536	38738	3	{n=0, nz=0}
-237473	黄米	65536	40644	3	{n=0}
-237475	青鸿	65536	38738	3	{nz=0}
-237482	马缨	132689	39532	1	null
-237521	黑痣	65536	40657	3	{n=0}
-237535	黄粱	148088	40644	1	null
-237539	金鸡	137259	37329	2	{n=0, ns=0, nz=0}
-237567	金鸽	65536	37329	3	{nz=4}
-237571	非驴	125489	38750	1	null
-237585	金鹏	137258	37329	2	{nz=4}
-237588	黑瘦	65536	40657	3	{z=0}
-237599	青麻	65536	38738	3	{n=0}
-237608	青黄	143948	38738	1	null
-237610	长项	65536	38271	3	{n=1}
-237612	长须	121325	38271	1	null
-237625	长颈	120871	38271	1	null
-237641	高潮	130002	39640	2	{n=44}
-237675	黑白	147345	40657	2	{b=7, n=0}
-237695	长风	65536	38271	3	{n=1, nz=0}
-237702	金黄	65536	37329	3	{z=3}
-237749	马耳	145965	39532	1	null
-237760	黑盒	144957	40657	1	null
-237866	黑眼	138673	40657	1	null
-237871	风能	65536	39118	3	{n=5}
-237902	马背	65536	39532	3	{n=0}
-237915	金龙	65536	37329	3	{nz=0}
-237921	金龟	136760	37329	2	{n=2}
-237924	高炉	65536	39640	3	{n=2}
-237948	黑瞎	144968	40657	1	null
-237961	高炮	140802	39640	2	{n=0}
-237980	马脚	65536	39532	3	{n=1}
-238018	高烧	65536	39640	3	{n=2, v=0}
-238024	高热	65536	39640	3	{n=0}
-238049	黑石	137368	40657	1	null
-238054	黄纸	141571	40644	1	null
-238114	长驱	131006	38271	2	{v=1}
-238118	风致	65536	39118	3	{n=0}
-238125	黄绿	134680	40644	1	null
-238169	长骨	65536	38271	3	{n=0}
-238188	马自	129355	39532	1	null
-238218	黑碜	137473	40657	1	null
-238244	风色	65536	39118	3	{n=0}
-238264	黄羊	65536	40644	3	{n=0}
-238307	风花	126619	39118	1	null
-238380	黑社	148101	40657	1	null
-238389	风范	65536	39118	3	{n=15}
-238523	黑种	65536	40657	3	{n=0}
-238644	马莲	65536	39532	3	{n=0}
-238661	黑穗	138203	40657	1	null
-238670	龙钟	148833	40857	1	null
-238731	黑窝	65536	40657	3	{n=0}
-238762	马萨	130322	39532	1	null
-238823	黑竹	65536	40657	3	{n=0}
-238943	马蓝	65536	39532	3	{n=0}
-238971	黑箍	65536	40657	3	{n=0}
-238991	黑管	65536	40657	3	{n=0}
-238999	龙门	148173	40857	2	{n=0}
-239008	黄色	144041	40644	2	{b=0, n=18}
-239060	长鸣	65536	38271	3	{v=0}
-239063	黄芩	65536	40644	3	{n=0}
-239064	黄芪	65536	40644	3	{n=0}
-239071	黄花	144464	40644	2	{n=1, ns=0}
-239115	高田	146794	39640	2	{ns=0}
-239206	黄茸	134494	40644	1	null
-239220	黄荆	65536	40644	3	{n=0}
-239223	黑粉	138204	40657	1	null
-239279	黑糁	136417	40657	1	null
-239282	风蚀	65536	39118	3	{v=0, vn=0}
-239288	黑糊	136418	40657	1	null
-239300	长鼓	65536	38271	3	{n=0}
-239312	马虎	65536	39532	3	{a=4, an=2}
-239336	黄莺	65536	40644	3	{n=1}
-239340	长鼻	131017	38271	1	null
-239374	黄菠	134267	40644	1	null
-239376	黑索	148196	40657	1	null
-239420	黄萎	137940	40644	1	null
-239434	长龙	65536	38271	3	{n=1}
-239492	马蜂	134776	39532	2	{n=0}
-239497	黄葛	141451	40644	1	null
-239561	马蝇	65536	39532	3	{n=0}
-239597	黄蒿	141343	40644	1	null
-239658	龙须	141090	40857	1	null
-239742	风行	145303	39118	2	{v=3, vn=0}
-239757	龙飞	147919	40857	2	{nz=0}
-239760	黑红	65536	40657	3	{z=1}
-239765	风衣	65536	39118	3	{n=1}
-239766	高瞻	130034	39640	1	null
-239775	黑纱	65536	40657	3	{n=0}
-239789	黑线	65536	40657	3	{n=0}
-239794	高矗	65536	39640	3	{v=1}
-239817	高矮	65536	39640	3	{n=0}
-239850	马表	65536	39532	3	{n=0}
-239974	马裤	65536	39532	3	{n=0}
-239980	高碑	142650	39640	1	null
-240004	马褂	65536	39532	3	{n=0}
-240014	高碳	128817	39640	1	null
-240035	马褡	142791	39532	1	null
-240168	龙驹	147926	40857	2	{n=0}
-240176	黄蜂	65536	40644	3	{n=0}
-240177	高祖	139275	39640	2	{n=0}
-240178	风言	126161	39118	1	null
-240207	黄蜡	133504	40644	2	{n=0}
-240212	马角	143815	39532	1	null
-240214	龙骧	134512	40857	1	null
-240215	龙骨	146527	40857	2	{n=0}
-240300	高科	141660	39640	2	{j=0}
-240356	黑胶	135865	40657	1	null
-240358	高程	65536	39640	3	{n=0}
-240422	黑脸	65536	40657	3	{n=0}
-240469	高空	146569	39640	2	{n=1, s=8}
-240492	黑腾	135222	40657	1	null
-240534	黄表	135661	40644	1	null
-240571	黄袍	146950	40644	2	{n=0}
-240676	高等	143552	39640	2	{b=28}
-240693	风调	126652	39118	1	null
-240702	黄褐	142107	40644	1	null
-240725	风谣	65536	39118	3	{n=0}
-240736	黑色	147122	40657	2	{n=13}
-240827	黑苍	134895	40657	1	null
-240830	风貌	65536	39118	3	{n=23}
-240921	黑茫	134802	40657	1	null
-240922	黑茬	134803	40657	1	null
-241036	高粱	135062	39640	2	{n=3}
-241049	高精	143336	39640	1	null
-241065	风起	145174	39118	1	null
-241086	马贼	65536	39532	3	{n=0}
-241109	风趣	65536	39118	3	{a=5, an=1}
-241117	马赛	145383	39532	2	{ns=0}
-241133	马赫	146155	39532	1	null
-241147	高素	130775	39640	1	null
-241164	马越	65536	39532	3	{nr=0}
-241265	马路	140163	39532	2	{n=18}
-241287	黑蒙	134439	40657	1	null
-241350	马蹄	141841	39532	2	{n=1}
-241524	黄豆	134638	40644	2	{n=1}
-241533	高红	140469	39640	1	null
-241538	高级	147006	39640	2	{a=115, b=1}
-241543	高纬	142707	39640	1	null
-241560	风车	65536	39118	3	{n=0}
-241640	马车	143374	39532	2	{n=6}
-241641	黑藻	65536	40657	3	{n=0}
-241728	马达	145051	39532	2	{n=2, nr=0}
-241745	风速	143178	39118	2	{n=0}
-241760	马连	139858	39532	1	null
-241886	高考	65536	39640	3	{n=0, v=16, vn=8}
-241906	高耗	133917	39640	1	null
-241939	高耸	146102	39640	2	{v=0}
-241957	马那	136300	39532	1	null
-241959	高职	65536	39640	3	{n=0}
-241973	高聚	137652	39640	1	null
-242026	马部	138194	39532	1	null
-242087	高背	65536	39640	3	{b=0}
-242108	高胡	65536	39640	3	{n=0}
-242136	高能	137657	39640	2	{b=1}
-242165	高脚	143331	39640	1	null
-242169	风采	140890	39118	2	{n=30}
-242177	风量	65536	39118	3	{n=0}
-242223	高腔	65536	39640	3	{n=0}
-242254	马里	146144	39532	2	{nr=1, ns=2}
-242257	黑衣	65536	40657	3	{n=0}
-242444	黄连	141702	40644	2	{n=0}
-242480	马銮	137949	39532	1	null
-242561	黄道	146599	40644	2	{n=0}
-242816	黄酒	65536	40644	3	{n=0}
-242847	黄酱	65536	40644	3	{n=0}
-242925	风钻	65536	39118	3	{n=0}
-242933	风铃	65536	39118	3	{n=1}
-242943	黄金	147568	40644	2	{n=67}
-242980	风铲	65536	39118	3	{n=0}
-242995	马钱	142862	39532	1	null
-243013	马铃	132016	39532	1	null
-243030	风锤	65536	39118	3	{n=0}
-243074	风镐	65536	39118	3	{n=0}
-243086	风镜	65536	39118	3	{n=0}
-243109	马锣	65536	39532	3	{n=0}
-243147	黑话	65536	40657	3	{n=0}
-243181	马镫	65536	39532	3	{n=0}
-243226	风门	65536	39118	3	{n=0}
-243242	风闸	65536	39118	3	{n=0}
-243245	风闻	65536	39118	3	{v=0}
-243252	黑豆	65536	40657	3	{n=2, nr=0}
-243303	黑豹	65536	40657	3	{n=0}
-243312	黑貂	65536	40657	3	{n=0}
-243333	高薪	65536	39640	3	{n=3}
-243355	风险	140689	39118	2	{n=171}
-243361	马队	65536	39532	3	{n=1}
-243406	风障	65536	39118	3	{n=0}
-243447	风雅	65536	39118	3	{a=1, n=0}
-243476	黑账	65536	40657	3	{n=0}
-243477	黑货	65536	40657	3	{n=0}
-243482	风雨	145771	39118	2	{n=17}
-243484	风雪	145195	39118	2	{n=19}
-243497	风雷	65536	39118	3	{n=0, nz=1}
-243499	风雹	65536	39118	3	{n=2}
-243534	风霜	126698	39118	2	{n=1}
-243603	风靡	145368	39118	2	{v=2}
-243622	高蛋	136620	39640	1	null
-243661	黄钟	145302	40644	1	null
-243677	黑路	65536	40657	3	{n=0}
-243691	马革	131177	39532	1	null
-243695	黄铁	137412	40644	1	null
-243702	马靴	65536	39532	3	{n=0}
-243722	黄铜	137414	40644	2	{n=1}
-243727	马鞍	142871	39532	2	{n=0, ns=0}
-243751	风韵	135974	39118	2	{n=3}
-243766	黄锈	137985	40644	1	null
-243968	风风	136572	39118	1	null
-243978	马颈	143869	39532	1	null
-243995	高血	145567	39640	1	null
-244034	风餐	126648	39118	1	null
-244052	黑车	65536	40657	3	{n=0}
-244131	黄陵	146698	40644	2	{j=0}
-244206	黄雀	65536	40644	3	{n=0}
-244248	马首	140102	39532	1	null
-244289	黑道	65536	40657	3	{n=0}
-244380	高见	65536	39640	3	{n=1}
-244382	风马	136084	39118	1	null
-244385	高视	128539	39640	1	null
-244386	风驰	135362	39118	1	null
-244399	黑郁	131330	40657	1	null
-244428	风骚	65536	39118	3	{n=3}
-244442	风骨	65536	39118	3	{n=3}
-244462	马马	131893	39532	1	null
-244475	马驹	139553	39532	2	{n=0}
-244515	马骡	65536	39532	3	{n=0}
-244613	马鬃	65536	39532	3	{n=0}
-244671	黑金	65536	40657	3	{n=2}
-244885	高论	65536	39640	3	{n=0}
-244958	高调	65536	39640	3	{n=0}
-244963	高谈	128545	39640	1	null
-245021	马鲛	126219	39532	1	null
-245080	马鳖	65536	39532	3	{n=0}
-245171	黄骅	144072	40644	2	{ns=2}
-245198	黄骠	128608	40644	1	null
-245206	黄骨	128506	40644	1	null
-245251	高质	65536	39640	3	{b=0}
-245264	高贵	65536	39640	3	{a=7, an=0, nr=0}
-245329	风鸟	65536	39118	3	{n=0}
-245344	高超	65536	39640	3	{a=3}
-245383	黑钙	146085	40657	1	null
-245390	高足	65536	39640	3	{n=0}
-245398	黑钨	137674	40657	1	null
-245407	黑钱	65536	40657	3	{n=0}
-245434	高跟	128175	39640	1	null
-245458	高跷	65536	39640	3	{n=1}
-245491	黑锅	65536	40657	3	{n=0}
-245497	高踞	65536	39640	3	{v=0}
-245674	黄鱼	65536	40644	3	{n=0}
-245693	马鼻	136142	39532	1	null
-245733	黄鲷	65536	40644	3	{n=0}
-245761	马齿	132801	39532	1	null
-245771	黄鳝	65536	40644	3	{n=0}
-245787	马龙	144852	39532	1	null
-245794	黑阴	129946	40657	1	null
-245860	黑陶	142408	40657	2	{n=0}
-245943	高远	65536	39640	3	{a=0, nr=1}
-245949	高迢	128472	39640	1	null
-246007	黑霉	65536	40657	3	{n=0}
-246010	高速	146141	39640	2	{b=16, d=21, n=0, nz=0}
-246092	黑非	140448	40657	1	null
-246093	黄鸟	65536	40644	3	{n=0}
-246096	黑面	65536	40657	3	{n=0}
-246124	高邑	65536	39640	3	{ns=5}
-246128	黄鹂	65536	40644	3	{n=0, nr=0}
-246153	高邮	142920	39640	1	null
-246232	高都	128773	39640	1	null
-246249	黄麻	131928	40644	2	{n=0}
-246350	黄鼠	138710	40644	2	{n=0}
-246362	黄鼬	65536	40644	3	{n=0}
-246371	黑页	144685	40657	1	null
-246390	黑颈	127859	40657	1	null
-246471	黄龙	140217	40644	2	{ns=0}
-246874	黑马	65536	40657	3	{n=2}
-247307	高锰	129750	39640	1	null
-247402	黑鱼	65536	40657	3	{n=0}
-247461	黑鲷	65536	40657	3	{n=0}
-247566	高阳	145555	39640	2	{ns=1}
-247613	高院	65536	39640	3	{j=3}
-247632	高陵	65536	39640	3	{ns=0}
-247705	高难	142774	39640	2	{b=4}
-247711	高雄	65536	39640	3	{ns=1}
-247712	高雅	65536	39640	3	{a=12, an=0}
-247821	高露	139107	39640	1	null
-247853	高青	145574	39640	1	null
-247902	黑鹰	65536	40657	3	{nz=0}
-247956	黑麦	134800	40657	2	{n=0}
-248010	黑黜	127742	40657	1	null
-248011	黑黝	127742	40657	1	null
-248014	高音	65536	39640	3	{n=1}
-248016	黑黢	127739	40657	1	null
-248024	黑黪	127732	40657	1	null
-248161	高领	65536	39640	3	{n=2}
-248172	高频	137011	39640	2	{b=1}
-248184	高额	65536	39640	3	{b=6, d=0}
-248199	黑龙	140674	40657	1	null
-248233	高风	146879	39640	1	null
-248755	高高	146176	39640	2	{a=0, d=5, z=3}
-249878	高鼻	143654	39640	1	null
-249951	高龄	65536	39640	3	{n=14}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/englishLibrary.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/englishLibrary.dic
deleted file mode 100644
index 510ecd9c4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/englishLibrary.dic
+++ /dev/null
@@ -1,105 +0,0 @@
-a	4
-b	4
-c	4
-d	4
-e	4
-f	4
-g	4
-h	4
-i	4
-j	4
-k	4
-l	4
-m	4
-n	4
-o	4
-p	4
-q	4
-r	4
-s	4
-t	4
-u	4
-v	4
-w	4
-x	4
-y	4
-z	4
-A	4
-B	4
-C	4
-D	4
-E	4
-F	4
-G	4
-H	4
-I	4
-J	4
-K	4
-L	4
-M	4
-N	4
-O	4
-P	4
-Q	4
-R	4
-S	4
-T	4
-U	4
-V	4
-W	4
-X	4
-Y	4
-Z	4
-'	4
-ａ	4
-ｂ	4
-ｃ	4
-ｄ	4
-ｅ	4
-ｆ	4
-ｇ	4
-ｈ	4
-ｉ	4
-ｊ	4
-ｋ	4
-ｌ	4
-ｍ	4
-ｎ	4
-ｏ	4
-ｐ	4
-ｑ	4
-ｒ	4
-ｓ	4
-ｔ	4
-ｕ	4
-ｖ	4
-ｗ	4
-ｘ	4
-ｙ	4
-ｚ	4
-Ａ	4
-Ｂ	4
-Ｃ	4
-Ｄ	4
-Ｅ	4
-Ｆ	4
-Ｇ	4
-Ｈ	4
-Ｉ	4
-Ｊ	4
-Ｋ	4
-Ｍ	4
-Ｌ	4
-Ｎ	4
-Ｏ	4
-Ｐ	4
-Ｑ	4
-Ｒ	4
-Ｓ	4
-Ｔ	4
-Ｕ	4
-Ｖ	4
-Ｗ	4
-Ｘ	4
-Ｙ	4
-Ｚ	4
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/jianFan.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/jianFan.dic
deleted file mode 100644
index 2afcc2be9..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/jianFan.dic
+++ /dev/null
@@ -1,3397 +0,0 @@
-娿	啊
-婀	阿
-餀	哎
-呃	唉
-皚	皑
-藹	蔼
-婑	矮
-銰	艾
-礙	碍
-愛	爱
-嬡	爱
-鮟	安
-唵	俺
-洝	按
-昻	昂
-獓	敖
-翺	翱
-襖	袄
-仸	袄
-謸	傲
-奧	奥
-襖	懊
-奧	澳
-妑	芭
-朳	扒
-朳	叭
-妑	吧
-仈	八
-妑	巴
-菝	拔
-柭	跋
-妑	把
-壩	坝
-覇	霸
-罷	罢
-妑	爸
-皛	白
-咟	百
-擺	摆
-敗	败
-湃	拜
-癍	斑
-癍	班
-瘢	般
-頒	颁
-闆	板
-蝂	版
-汾	扮
-絆	拌
-柈	伴
-柈	半
-辦	办
-刅	办
-絆	绊
-綁	邦
-幫	帮
-幇	帮
-徬	榜
-嫎	膀
-綁	绑
-垹	绑
-蜯	棒
-嫎	磅
-鎊	镑
-徬	傍
-謗	谤
-菢	胞
-笣	包
-剝	剥
-湺	保
-飽	饱
-怉	饱
-寶	宝
-砲	抱
-報	报
-蕔	报
-懪	暴
-鮑	鲍
-嚗	爆
-柸	杯
-蕜	悲
-萆	卑
-苝	北
-輩	辈
-揹	背
-貝	贝
-赑	贝
-鋇	钡
-俻	倍
-狽	狈
-備	备
-憊	惫
-渀	奔
-夲	本
-苯	笨
-镚	崩
-繃	绷
-嘣	蹦
-逬	迸
-腷	逼
-嬶	鼻
-仳	比
-啚	鄙
-筆	笔
-毣	笔
-幣	蔽
-畢	毕
-滭	毕
-斃	毙
-幣	币
-閉	闭
-獙	敝
-怭	必
-澼	辟
-鐴	避
-邊	边
-笾	边
-編	编
-揙	编
-貶	贬
-碥	扁
-楩	便
-變	变
-辧	辨
-辯	辩
-辮	辩
-辮	辫
-猵	遍
-標	标
-摽	标
-滮	彪
-鏢	膘
-錶	表
-鼈	鳖
-別	别
-莂	别
-癟	瘪
-瀕	濒
-濱	滨
-璸	滨
-賓	宾
-濱	宾
-擯	摈
-娦	兵
-栤	冰
-窉	柄
-眪	丙
-餅	饼
-疒	病
-並	并
-箥	玻
-譒	播
-撥	拨
-妭	拨
-缽	钵
-菠	波
-鉑	铂
-駁	驳
-訤	驳
-峬	捕
-蔔	卜
-誧	哺
-補	补
-卟	补
-芣	不
-鈽	布
-荹	步
-蔀	部
-攃	擦
-財	材
-財	才
-財	财
-棌	睬
-棌	踩
-埰	彩
-婇	菜
-爘	餐
-參	参
-傪	参
-蠶	蚕
-蛬	蚕
-殘	残
-慚	惭
-慙	惭
-慘	惨
-參	惨
-燦	灿
-蒼	苍
-芲	苍
-艙	舱
-倉	仓
-仺	仓
-滄	沧
-獊	沧
-蔵	藏
-懆	操
-鐰	糙
-蓸	曹
-愺	草
-廁	厕
-厠	厕
-憡	策
-側	侧
-冊	册
-測	测
-恻	测
-層	层
-竲	蹭
-揷	插
-紁	叉
-嗏	茶
-楂	查
-楂	碴
-镲	察
-槎	差
-詫	诧
-枈	柴
-攙	搀
-摻	掺
-傪	掺
-蟬	蝉
-饞	馋
-镵	馋
-讒	谗
-纏	缠
-瀍	缠
-鏟	铲
-産	产
-浐	产
-闡	阐
-顫	颤
-誯	昌
-場	场
-畼	场
-嘗	尝
-甞	尝
-瑺	常
-長	长
-萇	长
-償	偿
-腸	肠
-廠	厂
-暢	畅
-晿	唱
-趫	超
-莏	抄
-鈔	钞
-謿	朝
-謿	嘲
-謿	潮
-漅	巢
-訬	吵
-車	车
-徹	撤
-徹	彻
-沏	彻
-瞮	澈
-烥	臣
-宸	辰
-塵	尘
-曟	晨
-沈	沉
-冗	沉
-陳	陈
-襯	衬
-撐	撑
-稱	称
-峸	城
-荿	成
-珵	呈
-塖	乘
-珵	程
-懲	惩
-僜	澄
-誠	诚
-諴	诚
-浧	逞
-騁	骋
-阣	吃
-癡	痴
-歭	持
-肔	池
-遲	迟
-呎	迟
-肔	弛
-馳	驰
-肔	驰
-恥	耻
-齒	齿
-歯	齿
-呎	尺
-哧	赤
-趐	翅
-熾	炽
-茺	充
-沖	冲
-蟲	虫
-漴	崇
-寵	宠
-菗	抽
-絒	酬
-疇	畴
-帱	畴
-躊	踌
-帱	踌
-婤	稠
-僽	愁
-籌	筹
-薵	筹
-綢	绸
-皗	绸
-醜	丑
-忸	丑
-溴	臭
-炪	出
-櫥	橱
-廚	橱
-廚	厨
-鋤	锄
-雛	雏
-蒢	滁
-篨	除
-椘	楚
-礎	础
-绌	础
-儲	储
-觸	触
-處	处
-遄	揣
-巛	川
-瑏	穿
-傳	传
-伝	传
-遄	喘
-賗	串
-瘡	疮
-囱	窗
-闖	闯
-創	创
-欥	吹
-腄	捶
-錘	锤
-腄	锤
-箠	垂
-舂	春
-錞	醇
-脣	唇
-錞	淳
-純	纯
-蒓	纯
-戥	戳
-綽	绰
-焯	绰
-垐	茨
-濨	磁
-辭	辞
-濨	慈
-詞	词
-泚	此
-剌	刺
-賜	赐
-佽	次
-聰	聪
-蔥	葱
-茐	葱
-囪	囱
-茐	匆
-從	从
-苁	从
-叢	丛
-苁	丛
-湊	凑
-齰	醋
-娖	促
-躥	蹿
-竄	窜
-凗	摧
-慛	崔
-慛	催
-濢	粹
-濢	淬
-濢	翠
-籿	村
-洊	存
-籿	寸
-髊	搓
-錯	错
-措	错
-溚	搭
-達	达
-垯	达
-荅	答
-咑	打
-汏	大
-槑	呆
-瀻	戴
-帶	带
-笩	代
-貸	贷
-曃	逮
-擔	担
-泹	担
-冄	丹
-單	单
-啴	单
-鄲	郸
-撣	掸
-膽	胆
-狚	胆
-狚	旦
-泹	但
-憚	惮
-惔	淡
-誕	诞
-彈	弹
-疍	蛋
-當	当
-擋	挡
-澢	挡
-黨	党
-蕩	荡
-檔	档
-澢	档
-叨	刀
-搗	捣
-稲	蹈
-箌	倒
-島	岛
-禱	祷
-導	导
-菿	到
-稲	稻
-檤	道
-盜	盗
-徳	德
-嘚	得
-哋	的
-簦	蹬
-燈	灯
-憕	登
-簦	瞪
-鄧	邓
-郰	邓
-諟	堤
-彽	低
-嘀	滴
-廸	迪
-敵	敌
-廸	笛
-滌	涤
-疧	底
-哋	地
-渧	蒂
-苐	第
-渧	帝
-弚	弟
-遞	递
-締	缔
-顛	颠
-點	点
-敟	典
-墊	垫
-電	电
-扂	店
-澱	淀
-淍	碉
-汈	叼
-鵰	雕
-蜩	凋
-鋽	掉
-铞	吊
-釣	钓
-銱	钓
-調	调
-蜩	调
-瓞	跌
-嗲	爹
-渫	碟
-渫	蝶
-叠	迭
-諜	谍
-媟	谍
-疊	叠
-疉	叠
-玎	丁
-饤	盯
-汀	叮
-釘	钉
-町	钉
-頂	顶
-嵿	顶
-錠	锭
-萣	定
-訂	订
-忊	订
-丟	丢
-東	东
-崬	东
-笗	冬
-蓳	董
-慬	懂
-動	动
-憅	动
-棟	栋
-崬	栋
-凍	冻
-岽	冻
-狪	洞
-兠	兜
-鬦	抖
-鬥	斗
-乧	斗
-跿	陡
-荳	豆
-浢	逗
-哣	痘
-嘟	都
-毐	毒
-犢	犊
-渎	犊
-獨	独
-讀	读
-渎	读
-陼	堵
-賭	赌
-帾	赌
-荰	杜
-鍍	镀
-喥	度
-喥	渡
-鍴	端
-鍛	锻
-葮	锻
-葮	段
-斷	断
-緞	缎
-葮	缎
-碓	堆
-兌	兑
-隊	队
-對	对
-怼	对
-噸	吨
-沌	吨
-壿	蹲
-頓	顿
-鈍	钝
-沌	钝
-哆	多
-奪	夺
-躱	躲
-朶	朵
-媠	惰
-墮	堕
-憜	堕
-睋	蛾
-睋	峨
-鵝	鹅
-皒	俄
-額	额
-訛	讹
-皒	娥
-惡	恶
-悪	恶
-苊	厄
-餓	饿
-皒	饿
-慁	恩
-洏	而
-兒	儿
-ル	儿
-洱	耳
-爾	尔
-尒	尔
-餌	饵
-聶	饵
-②	二
-貳	贰
-發	发
-潑	发
-罰	罚
-藅	罚
-浌	伐
-疺	乏
-閥	阀
-琺	法
-琺	珐
-汎	帆
-畨	番
-飜	翻
-礬	矾
-釩	钒
-瀿	繁
-汎	凡
-煩	烦
-範	范
-笵	范
-販	贩
-氾	犯
-飯	饭
-粄	饭
-疺	泛
-汸	坊
-淓	芳
-汸	方
-汸	防
-汸	仿
-訪	访
-汸	访
-紡	纺
-汸	纺
-倣	放
-婔	菲
-悱	非
-飛	飞
-萉	肥
-厞	匪
-誹	诽
-腓	肺
-廢	废
-費	费
-曊	费
-棼	芬
-玢	吩
-汾	分
-紛	纷
-妢	纷
-墳	坟
-帉	粉
-奮	奋
-妢	份
-憤	愤
-濆	愤
-糞	粪
-豐	丰
-仹	丰
-崶	封
-楓	枫
-猦	枫
-峯	峰
-鋒	锋
-峯	锋
-風	风
-颩	风
-瘋	疯
-漨	逢
-馮	冯
-溤	冯
-縫	缝
-漨	缝
-諷	讽
-唪	奉
-鳳	凤
-鳯	凤
-仏	佛
-娝	否
-玞	夫
-膚	肤
-荴	扶
-輻	辐
-諨	幅
-苻	符
-茯	伏
-棴	服
-捊	浮
-湢	福
-撫	抚
-輔	辅
-椨	俯
-釡	斧
-椨	府
-諨	副
-賦	赋
-複	复
-復	复
-苻	付
-負	负
-萯	负
-冨	富
-訃	讣
-胕	附
-婦	妇
-縛	缚
-嗄	嘎
-該	该
-姟	该
-妀	改
-漑	概
-鈣	钙
-蓋	盖
-葢	盖
-漑	溉
-幹	干
-迀	干
-苷	甘
-芉	竿
-趕	赶
-迀	赶
-憾	感
-稈	秆
-噉	敢
-贛	赣
-岡	冈
-罓	冈
-剛	刚
-碙	刚
-鋼	钢
-矼	缸
-釭	肛
-綱	纲
-罁	纲
-崗	岗
-罓	岗
-釭	杠
-禞	篙
-臯	皋
-滈	高
-餻	羔
-溔	糕
-鎬	搞
-鎬	镐
-鎬	稿
-哠	告
-滒	哥
-戨	歌
-擱	搁
-鴿	鸽
-剨	割
-愅	革
-噶	葛
-咯	格
-閣	阁
-鉻	铬
-個	个
-茖	各
-給	给
-艮	根
-茛	跟
-畊	耕
-浭	更
-菮	庚
-笁	工
-糼	攻
-糼	功
-塨	恭
-龔	龚
-栱	供
-匑	躬
-厷	公
-宮	宫
-営	宫
-弖	弓
-鞏	巩
-珙	拱
-貢	贡
-珙	共
-鈎	钩
-溝	钩
-芶	勾
-溝	沟
-芶	沟
-豞	狗
-構	构
-媾	构
-購	购
-媾	购
-夠	够
-诂	估
-钴	沽
-箛	孤
-菇	姑
-鼔	鼓
-咕	古
-蠱	蛊
-嗗	骨
-唂	谷
-骰	股
-诂	故
-顧	顾
-凅	固
-剮	刮
-呱	瓜
-剮	剐
-啩	挂
-啩	褂
-枴	拐
-菅	棺
-關	关
-関	关
-菅	官
-蒄	冠
-觀	观
-涫	管
-館	馆
-菅	馆
-潅	罐
-慣	惯
-遦	惯
-潅	灌
-貫	贯
-遦	贯
-洸	光
-廣	广
-広	广
-迋	逛
-規	规
-矽	硅
-歸	归
-龜	龟
-亀	龟
-閨	闺
-軌	轨
-匦	轨
-媿	鬼
-詭	诡
-蓕	桂
-櫃	柜
-匱	柜
-蛫	跪
-貴	贵
-劊	刽
-輥	辊
-滾	滚
-蔉	滚
-輥	棍
-鍋	锅
-煱	锅
-漷	郭
-國	国
-淉	果
-過	过
-铪	哈
-陔	孩
-嗨	海
-嗐	害
-駭	骇
-韓	韩
-浛	含
-凾	涵
-凾	函
-諴	喊
-癷	罕
-猂	旱
-猂	焊
-汙	汗
-漢	汉
-忼	杭
-濠	豪
-恏	好
-秏	耗
-號	号
-呺	号
-滘	浩
-哬	呵
-曷	喝
-嗬	荷
-劾	核
-秝	禾
-啝	和
-哬	何
-匼	合
-盉	盒
-閡	阂
-菏	河
-鶴	鹤
-賀	贺
-哿	贺
-潶	嘿
-嫼	黑
-佷	很
-哏	狠
-悢	恨
-涥	哼
-悙	亨
-橫	横
-蘅	衡
-恆	恒
-轟	轰
-晎	哄
-渱	虹
-鴻	鸿
-葓	洪
-宖	宏
-宖	弘
-紅	红
-葒	红
-糇	喉
-糇	侯
-糇	猴
-犼	吼
-糇	候
-後	后
-苸	呼
-苸	乎
-唿	忽
-壺	壶
-煳	葫
-箶	胡
-箶	蝴
-煳	糊
-煳	湖
-唬	虎
-護	护
-戶	护
-沍	互
-滬	沪
-戶	沪
-戶	户
-埖	花
-嘩	哗
-蕐	哗
-華	华
-澕	华
-磆	猾
-磆	滑
-畫	画
-畵	画
-劃	划
-囮	化
-話	话
-佪	徊
-懷	怀
-准	淮
-壞	坏
-歡	欢
-環	环
-寰	环
-還	还
-緩	缓
-換	换
-漶	患
-喚	唤
-瘓	痪
-煥	焕
-渙	涣
-抝	幻
-巟	荒
-巟	慌
-黃	黄
-曂	黄
-瑝	皇
-瑝	凰
-瑝	惶
-瑝	煌
-愰	晃
-縨	幌
-謊	谎
-巟	谎
-洃	灰
-揮	挥
-媈	挥
-輝	辉
-媈	辉
-幑	徽
-冋	回
-毀	毁
-毇	毁
-珻	悔
-珻	晦
-賄	贿
-穢	秽
-會	会
-浍	会
-燴	烩
-彙	汇
-匯	汇
-諱	讳
-誨	诲
-繪	绘
-浍	绘
-葷	荤
-涽	昏
-殙	婚
-渾	浑
-婫	混
-萿	活
-夥	伙
-钬	伙
-焱	火
-獲	获
-镬	获
-戓	或
-靃	霍
-貨	货
-禍	祸
-擊	击
-樭	基
-機	机
-僟	机
-積	积
-饑	饥
-噭	激
-譏	讥
-雞	鸡
-鶏	鸡
-績	绩
-緝	缉
-咭	吉
-極	极
-輯	辑
-潗	集
-彶	及
-喼	急
-旣	即
-級	级
-擠	挤
-哜	挤
-幾	几
-凢	几
-薊	蓟
-悸	季
-劑	剂
-濟	济
-哜	济
-計	计
-記	记
-汜	记
-旣	既
-際	际
-漈	际
-繼	继
-紀	纪
-汜	纪
-夾	夹
-傢	家
-咖	加
-莢	荚
-頰	颊
-賈	贾
-曱	甲
-鉀	钾
-徦	假
-糘	稼
-價	价
-泇	架
-駕	驾
-糘	嫁
-殲	歼
-姧	歼
-監	监
-盬	监
-堅	坚
-箋	笺
-間	间
-簡	间
-凲	兼
-艱	艰
-奷	奸
-緘	缄
-繭	茧
-檢	检
-撿	检
-堿	碱
-鹼	硷
-揀	拣
-撿	捡
-簡	简
-彅	简
-儉	俭
-倹	俭
-彅	剪
-減	减
-諴	减
-薦	荐
-檻	槛
-鑒	鉴
-踐	践
-賤	贱
-濺	贱
-見	见
-鍵	键
-楗	键
-揵	健
-艦	舰
-劍	剑
-餞	饯
-漸	渐
-濺	溅
-澗	涧
-踺	建
-壃	僵
-葁	姜
-將	将
-漿	浆
-槳	浆
-茳	江
-彊	疆
-蔣	蒋
-槳	桨
-獎	奖
-奨	奖
-講	讲
-醬	酱
-夅	降
-潐	焦
-膠	胶
-烄	胶
-茭	交
-澆	浇
-驕	骄
-嬌	骄
-嬌	娇
-攪	搅
-鉸	铰
-矯	矫
-僥	侥
-腳	脚
-烄	狡
-餃	饺
-繳	缴
-儌	缴
-絞	绞
-烄	绞
-嘋	教
-轎	轿
-較	较
-珓	较
-嘂	叫
-帹	接
-湝	皆
-稭	秸
-階	阶
-節	节
-兯	节
-莖	茎
-聙	睛
-瞐	晶
-鯨	鲸
-倞	京
-驚	惊
-棈	精
-經	经
-丼	井
-檠	警
-憬	景
-頸	颈
-靜	静
-璄	境
-擏	敬
-鏡	镜
-傹	镜
-徑	径
-痙	痉
-獍	竟
-競	竞
-淨	净
-凈	净
-泂	炯
-僒	窘
-啾	揪
-糾	纠
-玖	久
-勼	九
-氿	酒
-廄	厩
-慦	救
-舊	旧
-僦	就
-咎	疚
-佝	拘
-劇	居
-駒	驹
-匊	菊
-挶	局
-怇	矩
-舉	举
-藂	聚
-岠	拒
-據	据
-琚	据
-姖	巨
-倶	具
-岠	距
-鋸	锯
-涺	锯
-倶	俱
-呴	句
-懼	惧
-岠	炬
-劇	剧
-涺	剧
-涓	捐
-鵑	鹃
-涓	娟
-惓	倦
-捲	卷
-絹	绢
-涓	绢
-瘚	撅
-決	抉
-崛	掘
-崛	倔
-嚼	爵
-傑	杰
-啑	捷
-潔	洁
-結	结
-悈	戒
-鎅	界
-徣	借
-夰	介
-誡	诫
-屆	届
-凧	巾
-荕	筋
-釿	斤
-唫	金
-妗	今
-珒	津
-噤	襟
-緊	紧
-錦	锦
-婂	锦
-僅	仅
-謹	谨
-殣	谨
-進	进
-琎	进
-晉	晋
-噤	禁
-菦	近
-燼	烬
-锓	浸
-盡	尽
-浕	尽
-勁	劲
-荊	荆
-覺	觉
-決	决
-吷	决
-訣	诀
-吷	诀
-絕	绝
-蕝	绝
-汮	均
-箘	菌
-鈞	钧
-呁	钧
-軍	军
-焄	君
-浚	峻
-浚	俊
-浚	竣
-駿	骏
-浚	骏
-鉲	卡
-開	开
-閞	开
-揩	楷
-凱	凯
-剀	凯
-刋	刊
-歃	砍
-嫝	康
-嵻	慷
-嵻	糠
-摃	扛
-忼	抗
-囥	亢
-忼	炕
-栲	考
-洘	拷
-栲	烤
-岢	苛
-錁	棵
-溘	磕
-顆	颗
-錁	颗
-萪	科
-殼	壳
-涜	壳
-嗑	咳
-妸	可
-渇	渴
-尅	克
-尅	刻
-愙	客
-課	课
-錁	课
-肻	肯
-肻	啃
-墾	垦
-恳	垦
-懇	恳
-垦	恳
-妔	坑
-妔	吭
-涳	空
-芤	孔
-啌	控
-摳	抠
-囗	口
-釦	扣
-簆	寇
-喖	枯
-崫	窟
-楛	苦
-庫	库
-厙	库
-褲	裤
-誇	夸
-洿	夸
-塊	块
-赽	块
-儈	侩
-赽	快
-寬	宽
-窾	款
-筺	筐
-誑	狂
-礦	矿
-纩	矿
-洭	眶
-曠	旷
-纩	旷
-況	况
-虧	亏
-扝	亏
-巋	岿
-窺	窥
-喹	奎
-饋	馈
-潰	馈
-隗	愧
-潰	溃
-堒	坤
-崐	昆
-涃	捆
-涃	困
-葀	括
-擴	扩
-拡	扩
-霩	廓
-闊	阔
-柆	垃
-菈	拉
-蠟	蜡
-臘	蜡
-臘	腊
-菈	啦
-萊	莱
-來	来
-唻	来
-賴	赖
-攋	赖
-藍	蓝
-漤	婪
-欄	栏
-孄	栏
-攔	拦
-籃	篮
-藍	篮
-闌	阑
-蘭	兰
-瀾	澜
-讕	谰
-攬	揽
-灠	揽
-覽	览
-灠	览
-懶	懒
-攋	懒
-纜	缆
-灠	缆
-爛	烂
-灡	烂
-濫	滥
-嚂	滥
-哴	琅
-蓈	榔
-哴	狼
-蓢	廊
-蓢	郎
-蓢	朗
-烺	浪
-撈	捞
-崂	捞
-勞	劳
-崂	劳
-窂	牢
-荖	老
-粩	姥
-絡	酪
-絡	烙
-澇	涝
-崂	涝
-嘞	勒
-樂	乐
-泺	乐
-檑	雷
-鐳	镭
-檑	镭
-檑	蕾
-藞	磊
-蔂	累
-壘	垒
-檑	擂
-叻	肋
-類	类
-淚	泪
-汨	泪
-唥	冷
-悡	梨
-籬	篱
-離	离
-蓠	离
-裏	里
-鯉	鲤
-禮	礼
-麗	丽
-婯	丽
-厲	厉
-疠	厉
-勵	励
-礫	砾
-曆	历
-呖	历
-悡	利
-唎	例
-竝	立
-瀝	沥
-隸	隶
-劦	力
-倆	俩
-唡	俩
-聯	联
-聅	联
-蓮	莲
-嗹	莲
-連	连
-涟	连
-鐮	镰
-憐	怜
-漣	涟
-簾	帘
-斂	敛
-潋	敛
-臉	脸
-鏈	链
-嗹	链
-戀	恋
-煉	炼
-練	练
-煉	练
-糧	粮
-悢	粮
-涼	凉
-樑	梁
-悢	良
-兩	两
-倆	两
-輛	辆
-唡	辆
-糧	量
-涼	晾
-煷	亮
-諒	谅
-涼	谅
-嫽	撩
-窷	聊
-獠	僚
-療	疗
-獠	燎
-遼	辽
-孒	了
-鐐	镣
-漻	廖
-烮	列
-煭	裂
-烮	烈
-挘	劣
-獵	猎
-啉	琳
-啉	林
-潾	磷
-臨	临
-鄰	邻
-鱗	鳞
-潾	鳞
-啉	淋
-凜	凛
-賃	赁
-悋	吝
-柃	拎
-玪	玲
-夌	菱
-蕶	零
-齡	龄
-鈴	铃
-玪	铃
-玪	羚
-淩	凌
-夌	凌
-靈	灵
-夌	陵
-嶺	岭
-玪	岭
-領	领
-叧	另
-泠	令
-媹	溜
-媹	榴
-餾	馏
-畱	留
-劉	刘
-嚠	刘
-媹	瘤
-蓅	流
-栁	柳
-陸	六
-龍	龙
-瀧	龙
-聾	聋
-嚨	咙
-茏	咙
-籠	笼
-茏	笼
-湰	隆
-壟	垄
-泷	垄
-攏	拢
-泷	拢
-隴	陇
-茏	陇
-樓	楼
-溇	楼
-婁	娄
-溇	娄
-摟	搂
-嵝	搂
-簍	篓
-溇	篓
-屚	漏
-蘆	芦
-廬	芦
-盧	卢
-顱	颅
-廬	庐
-爐	炉
-擄	掳
-鹵	卤
-虜	虏
-魯	鲁
-噜	鲁
-蕗	露
-蕗	路
-賂	赂
-蔍	鹿
-祿	禄
-錄	录
-淥	录
-陸	陆
-驢	驴
-馿	驴
-呂	吕
-焒	吕
-鋁	铝
-焒	铝
-侶	侣
-佀	侣
-膂	旅
-屢	屡
-縷	缕
-慮	虑
-侓	律
-卛	率
-濾	滤
-慮	滤
-綠	绿
-淥	绿
-巒	峦
-欒	峦
-攣	挛
-孌	挛
-孿	孪
-灤	滦
-亂	乱
-稤	掠
-畧	略
-掄	抡
-囵	抡
-輪	轮
-囵	轮
-倫	伦
-囵	伦
-侖	仑
-淪	沦
-囵	沦
-綸	纶
-論	论
-囵	论
-蘿	萝
-囉	萝
-羅	罗
-囉	罗
-邏	逻
-羅	逻
-鑼	锣
-囉	锣
-籮	箩
-儸	箩
-騾	骡
-詻	洛
-駱	骆
-詻	骆
-絡	络
-媽	妈
-嫲	麻
-瑪	玛
-犸	玛
-碼	码
-犸	码
-螞	蚂
-犸	蚂
-馬	马
-骉	马
-罵	骂
-嫲	嘛
-嗎	吗
-嬤	吗
-買	买
-荬	买
-麥	麦
-賣	卖
-邁	迈
-脈	脉
-霡	脉
-瞞	瞒
-慲	瞒
-饅	馒
-獌	馒
-蠻	蛮
-滿	满
-慲	满
-嫚	蔓
-嫚	曼
-嫚	慢
-嫚	漫
-謾	谩
-笀	芒
-汒	茫
-吂	盲
-杧	忙
-漭	莽
-貓	猫
-罞	茅
-錨	锚
-毝	毛
-罞	矛
-鉚	铆
-茆	卯
-萺	冒
-萺	帽
-邈	貌
-貿	贸
-麽	么
-庅	么
-坆	玫
-烸	梅
-黴	霉
-苺	霉
-湈	煤
-沒	没
-莈	没
-葿	眉
-鎂	镁
-烸	每
-羙	美
-妺	妹
-門	门
-閄	门
-悶	闷
-們	们
-萠	萌
-懞	蒙
-擝	盟
-錳	锰
-掹	猛
-夢	梦
-掹	孟
-侎	眯
-洣	迷
-謎	谜
-洣	谜
-彌	弥
-洣	米
-覓	觅
-滵	蜜
-滵	密
-冪	幂
-婂	棉
-綿	绵
-婂	绵
-凂	免
-緬	缅
-媔	面
-媌	苗
-媌	描
-媌	瞄
-邈	藐
-仯	秒
-緲	渺
-廟	庙
-庿	庙
-仯	妙
-篾	蔑
-滅	灭
-搣	灭
-姄	民
-勄	敏
-憫	悯
-閩	闽
-眀	明
-鳴	鸣
-嘄	鸣
-銘	铭
-佲	铭
-洺	名
-掵	命
-謬	谬
-繆	谬
-嗼	摸
-嚤	蘑
-嗼	模
-嗼	膜
-嚤	磨
-嚤	摩
-嚤	魔
-沬	抹
-沬	末
-嗼	莫
-嚜	墨
-沬	沫
-嗼	漠
-帞	陌
-謀	谋
-湈	谋
-哞	牟
-湈	某
-畝	亩
-毋	母
-募	墓
-募	幕
-朩	木
-朩	目
-嗱	拿
-妠	呐
-鈉	钠
-妠	钠
-哪	那
-哪	娜
-納	纳
-妠	纳
-釢	乃
-艿	奶
-恧	耐
-柰	奈
-遖	南
-莮	男
-難	难
-灢	囊
-撓	挠
-腦	脑
-悩	脑
-惱	恼
-悩	恼
-鬧	闹
-閙	闹
-迡	呢
-餒	馁
-浽	馁
-內	内
-禸	内
-嫰	嫩
-淣	倪
-狔	泥
-胒	尼
-擬	拟
-抳	拟
-妳	你
-沵	你
-嫟	匿
-膩	腻
-屰	逆
-秥	拈
-姩	年
-攆	撵
-撚	捻
-淰	念
-釀	酿
-鳥	鸟
-茑	鸟
-杘	尿
-涅	捏
-聶	聂
-嗫	聂
-糵	孽
-齧	啮
-鑷	镊
-嗫	镊
-鎳	镍
-檸	柠
-獰	狞
-甯	宁
-苧	宁
-擰	拧
-濘	泞
-犇	牛
-沑	扭
-鈕	钮
-妞	钮
-紐	纽
-狃	纽
-膿	脓
-哝	脓
-濃	浓
-哝	浓
-農	农
-哝	农
-挵	弄
-伮	奴
-怓	努
-伮	怒
-囡	女
-煖	暖
-疟	虐
-瘧	疟
-穤	懦
-穤	糯
-諾	诺
-喏	诺
-呃	哦
-歐	欧
-瓯	欧
-鷗	鸥
-瓯	鸥
-毆	殴
-瓯	殴
-耦	藕
-嘔	呕
-耦	偶
-漚	沤
-汃	趴
-瓟	爬
-啪	帕
-啪	怕
-啪	拍
-棑	排
-簰	牌
-棑	徘
-哌	派
-襻	攀
-瀋	潘
-盤	盘
-昐	盼
-溿	畔
-叛	判
-判	叛
-龐	庞
-厐	庞
-臱	旁
-眫	胖
-拋	抛
-垉	咆
-铇	刨
-垉	炮
-垉	袍
-垉	跑
-垉	泡
-怌	呸
-掊	培
-賠	赔
-婄	赔
-婄	陪
-蓜	配
-姵	佩
-噴	喷
-濆	喷
-湓	盆
-泙	砰
-憉	彭
-莑	蓬
-堋	棚
-萠	朋
-鵬	鹏
-唪	捧
-湴	碰
-噼	霹
-纰	批
-怶	披
-噼	劈
-裨	脾
-怶	皮
-苉	匹
-庇	屁
-萹	篇
-媥	偏
-爿	片
-騙	骗
-飄	飘
-彯	飘
-慓	漂
-嘌	票
-潎	撇
-潎	瞥
-拚	拼
-頻	频
-貧	贫
-闆	品
-娉	聘
-岼	坪
-蘋	苹
-泙	苹
-泙	萍
-岼	平
-憑	凭
-甁	瓶
-評	评
-屛	屏
-岥	坡
-潑	泼
-秡	泼
-頗	颇
-櫇	颇
-嘙	婆
-岥	破
-廹	迫
-撲	扑
-圤	扑
-鋪	铺
-舗	铺
-圤	仆
-匍	葡
-箁	菩
-逋	埔
-樸	朴
-圤	朴
-譜	谱
-鐠	谱
-鑤	瀑
-剘	期
-剘	欺
-棲	栖
-嘁	戚
-悽	妻
-⑦	七
-淒	凄
-娸	其
-諆	棋
-渏	奇
-忮	歧
-臍	脐
-齊	齐
-斉	齐
-騎	骑
-騏	骑
-豈	岂
-阣	乞
-佱	企
-啓	启
-晵	启
-噐	器
-氣	气
-棄	弃
-淇	泣
-訖	讫
-拤	掐
-牽	牵
-撁	牵
-扡	扦
-釺	钎
-鉛	铅
-芉	千
-遷	迁
-簽	签
-謙	谦
-嗛	谦
-墘	乾
-錢	钱
-鉗	钳
-湔	前
-潛	潜
-濳	潜
-淺	浅
-譴	谴
-塹	堑
-芡	欠
-嗛	歉
-槍	枪
-熗	枪
-嗆	呛
-濸	呛
-牆	墙
-嫱	墙
-薔	蔷
-嫱	蔷
-強	强
-搶	抢
-熗	抢
-鍬	锹
-毃	敲
-佾	悄
-橋	桥
-喬	桥
-趭	瞧
-喬	乔
-僑	侨
-喬	侨
-毳	撬
-翹	翘
-趬	翘
-佾	俏
-竅	窍
-苆	切
-苆	茄
-苴	且
-愜	怯
-竊	窃
-苆	窃
-欽	钦
-埐	侵
-親	亲
-儭	亲
-蓁	秦
-噖	琴
-懄	勤
-檎	擒
-噙	禽
-寢	寝
-寑	寝
-圊	青
-輕	轻
-氫	氢
-傾	倾
-凊	清
-啨	晴
-凊	情
-頃	顷
-請	请
-埥	请
-慶	庆
-瓊	琼
-窮	穷
-偢	秋
-坵	丘
-浗	球
-浗	求
-媨	酋
-趨	趋
-區	区
-岖	区
-浀	曲
-軀	躯
-驅	驱
-駆	驱
-掫	取
-婜	娶
-齲	龋
-厾	去
-圜	圈
-顴	颧
-權	权
-葲	泉
-洤	全
-吠	犬
-勸	劝
-勧	劝
-蒛	缺
-卻	却
-鵲	鹊
-確	确
-峮	裙
-羣	群
-嘫	然
-嘫	燃
-姌	冉
-媣	染
-孃	嚷
-讓	让
-饒	饶
-隢	饶
-擾	扰
-繞	绕
-隢	绕
-熱	热
-慹	热
-芢	仁
-亾	人
-涊	忍
-韌	韧
-姙	任
-認	认
-刄	刃
-紉	纫
-ㄖ	日
-嫆	蓉
-榮	荣
-瀜	融
-嫆	熔
-嫆	溶
-嫆	容
-絨	绒
-渘	揉
-渘	柔
-禸	肉
-筎	茹
-濡	儒
-洳	如
-媷	辱
-肗	汝
-叺	入
-軟	软
-朊	阮
-惢	蕊
-銳	锐
-閏	闰
-潤	闰
-潤	润
-婼	若
-弜	弱
-潵	撒
-灑	洒
-薩	萨
-蕯	萨
-鰓	鳃
-噻	塞
-賽	赛
-噻	赛
-彡	三
-叁	三
-傘	伞
-潵	散
-鎟	桑
-鎟	嗓
-喪	丧
-騷	骚
-騒	骚
-掃	扫
-溲	嫂
-脃	色
-澀	涩
-潹	森
-莏	莎
-唦	砂
-殺	杀
-摋	杀
-閷	刹
-乷	沙
-紗	纱
-倽	啥
-繺	煞
-篩	筛
-曬	晒
-姍	珊
-屾	山
-刪	删
-剼	删
-釤	衫
-閃	闪
-閁	闪
-陝	陕
-贍	赡
-僐	善
-訕	汕
-傓	扇
-繕	缮
-傷	伤
-啇	商
-賞	赏
-仩	上
-尙	尚
-哨	梢
-哨	捎
-哨	稍
-燒	烧
-汋	勺
-仯	少
-卲	邵
-紹	绍
-袑	绍
-賒	赊
-虵	蛇
-舙	舌
-舎	舍
-攝	摄
-摂	摄
-懾	慑
-渉	涉
-涻	社
-設	设
-蔎	设
-妽	申
-訷	伸
-裑	身
-堔	深
-紳	绅
-訷	绅
-鉮	神
-瀋	沈
-審	审
-谉	审
-嬸	婶
-卙	甚
-腎	肾
-滲	渗
-椮	渗
-聲	声
-殸	声
-泩	生
-狌	牲
-圱	升
-繩	绳
-渻	省
-墭	盛
-乗	剩
-勝	胜
-夝	胜
-聖	圣
-師	师
-溮	师
-妷	失
-獅	狮
-浉	狮
-湤	施
-濕	湿
-詩	诗
-屍	尸
-迉	尸
-拾	十
-坧	石
-湁	拾
-時	时
-溡	时
-喰	食
-蝕	蚀
-實	实
-識	识
-屍	屎
-駛	驶
-馶	驶
-鉽	式
-沶	示
-仕	士
-迣	世
-枾	柿
-倳	事
-迣	逝
-勢	势
-湜	是
-適	适
-釋	释
-飾	饰
-巿	市
-厔	室
-視	视
-試	试
-鉽	试
-荍	收
-掱	手
-渞	首
-垨	守
-壽	寿
-涭	授
-辤	受
-痩	瘦
-獸	兽
-獣	兽
-樞	枢
-姝	殊
-杼	抒
-輸	输
-瀭	输
-埱	叔
-忬	舒
-蔋	淑
-書	书
-贖	赎
-孰	熟
-濐	暑
-癙	鼠
-屬	属
-術	术
-朮	术
-沭	述
-樹	树
-娕	束
-豎	竖
-竪	竖
-數	数
-薮	数
-唰	刷
-缞	衰
-帥	帅
-拴	栓
-灀	霜
-雙	双
-叒	双
-摤	爽
-誰	谁
-渁	水
-腄	睡
-稅	税
-挩	税
-橓	瞬
-順	顺
-橓	舜
-說	说
-説	说
-碩	硕
-爍	烁
-凘	斯
-凘	撕
-凘	嘶
-偲	思
-俬	私
-呞	司
-絲	丝
-噝	丝
-屍	死
-峙	寺
-④	四
-姒	似
-飼	饲
-菘	松
-聳	耸
-慫	怂
-頌	颂
-鎹	送
-浨	宋
-訟	讼
-誦	诵
-溲	搜
-擻	擞
-蘇	苏
-嫊	素
-趚	速
-愬	塑
-蹜	宿
-訴	诉
-肅	肃
-歗	肃
-祘	蒜
-匴	算
-雖	虽
-陏	隋
-隨	随
-綏	绥
-浽	绥
-誶	碎
-歲	岁
-嵗	岁
-嬘	遂
-孫	孙
-損	损
-筍	笋
-逡	梭
-逡	唆
-縮	缩
-瑣	琐
-鎖	琐
-鎍	索
-鎖	锁
-鎻	锁
-葰	所
-禢	塌
-彵	他
-咜	它
-咜	她
-嗒	塔
-獺	獭
-撻	挞
-沓	踏
-擡	抬
-孡	抬
-珆	台
-溙	泰
-忲	太
-態	态
-忲	态
-呔	汰
-攤	摊
-貪	贪
-癱	瘫
-灘	滩
-壇	坛
-墵	坛
-憛	潭
-譚	谭
-談	谈
-钽	坦
-湠	碳
-歎	叹
-嘆	叹
-湠	炭
-湯	汤
-饧	汤
-溏	塘
-漟	堂
-橖	棠
-瑭	唐
-溏	糖
-燙	烫
-匋	掏
-濤	涛
-瑫	滔
-縧	绦
-匋	萄
-洮	桃
-洮	逃
-匋	淘
-匋	陶
-討	讨
-駦	藤
-騰	腾
-駦	腾
-庝	疼
-謄	誊
-珶	梯
-銻	锑
-諟	提
-題	题
-趧	题
-渧	蹄
-渧	啼
-體	体
-軆	体
-櫕	替
-珶	涕
-珶	剃
-屜	屉
-屟	屉
-兲	天
-婖	添
-瑱	填
-甶	田
-甛	甜
-婖	舔
-睓	腆
-狣	挑
-條	条
-朓	跳
-貼	贴
-萜	贴
-鐵	铁
-鉄	铁
-萜	帖
-廳	厅
-廰	厅
-聽	听
-厛	听
-烴	烃
-侹	廷
-渟	停
-渟	亭
-侹	庭
-侹	挺
-嗵	通
-秱	桐
-哃	同
-銅	铜
-恫	铜
-浵	彤
-僮	童
-硧	桶
-硧	捅
-茼	筒
-統	统
-痌	痛
-偸	偷
-頭	头
-禿	秃
-湥	突
-圖	图
-徙	徒
-蒤	途
-塗	涂
-凃	涂
-廜	屠
-汢	土
-汢	吐
-兎	兔
-團	团
-蓷	推
-頹	颓
-蹆	腿
-蛻	蜕
-蹆	褪
-蹆	退
-昋	吞
-柂	拖
-仛	托
-脫	脱
-鴕	鸵
-袉	鸵
-拕	陀
-馱	驮
-駞	驮
-駝	驼
-袉	驼
-橢	椭
-鋖	妥
-沰	拓
-窪	洼
-哇	洼
-哇	娃
-咓	瓦
-襪	袜
-迯	外
-彎	弯
-塆	弯
-灣	湾
-塆	湾
-琓	玩
-頑	顽
-汍	丸
-唍	完
-涴	碗
-梚	挽
-脕	晚
-啘	婉
-萬	万
-萭	万
-忹	汪
-迋	王
-匄	亡
-忹	枉
-網	网
-蛧	网
-暀	往
-忹	旺
-朢	望
-莣	忘
-媙	威
-蘶	巍
-嶶	微
-佹	危
-韋	韦
-違	违
-圍	围
-惟	唯
-爲	为
-潙	为
-濰	潍
-維	维
-惟	维
-葦	苇
-崣	萎
-逶	委
-偉	伟
-僞	伪
-沩	伪
-屗	尾
-緯	纬
-沬	未
-墛	蔚
-菋	味
-嵔	畏
-媦	胃
-嵔	喂
-蘶	魏
-莅	位
-謂	谓
-媦	谓
-墛	尉
-墛	慰
-衛	卫
-衞	卫
-溫	温
-螡	蚊
-妏	文
-聞	闻
-紋	纹
-鈫	纹
-沕	吻
-穩	稳
-穏	稳
-問	问
-滃	嗡
-暡	翁
-甕	瓮
-撾	挝
-蝸	蜗
-窩	蜗
-渦	涡
-煱	涡
-窩	窝
-窉	窝
-莪	我
-臥	卧
-楃	握
-莁	巫
-嗚	呜
-鎢	钨
-烏	乌
-汙	污
-汚	污
-誣	诬
-莁	诬
-偓	屋
-無	无
-嘸	无
-蕪	芜
-圄	吾
-吳	吴
-呉	吴
-娬	武
-伍	五
-圄	捂
-吘	午
-橆	舞
-⑤	伍
-塢	坞
-霧	雾
-霚	雾
-粅	物
-匢	勿
-務	务
-圄	悟
-誤	误
-厝	昔
-凞	熙
-唽	析
-覀	西
-扱	吸
-錫	锡
-唶	锡
-犧	牺
-犠	牺
-浠	稀
-唏	希
-汐	夕
-厝	惜
-渓	溪
-襲	袭
-習	习
-禧	喜
-銑	铣
-冼	洗
-係	系
-戲	戏
-戱	戏
-細	细
-磍	瞎
-蝦	虾
-葭	霞
-轄	辖
-叚	暇
-峽	峡
-浹	峡
-俠	侠
-浹	侠
-狹	狭
-浹	狭
-芐	下
-廈	厦
-嗄	夏
-嚇	吓
-圷	吓
-锨	掀
-鍁	锨
-姺	先
-佡	仙
-鮮	鲜
-纖	纤
-汘	纤
-鹹	咸
-賢	贤
-銜	衔
-閑	闲
-娴	闲
-妶	弦
-溓	嫌
-顯	显
-險	险
-険	险
-現	现
-哯	现
-獻	献
-縣	县
-餡	馅
-陥	馅
-羨	羡
-憲	宪
-陥	陷
-線	线
-楿	相
-廂	厢
-鑲	镶
-萫	香
-葙	箱
-鄉	乡
-芗	乡
-詳	详
-響	响
-姠	响
-啍	享
-項	项
-頙	项
-潒	橡
-潒	像
-姠	向
-潒	象
-蕭	萧
-簘	萧
-萷	削
-涍	哮
-囂	嚣
-銷	销
-曉	晓
-哓	晓
-尒	小
-涍	孝
-嘯	啸
-蠍	蝎
-嚡	鞋
-協	协
-拹	协
-挾	挟
-攜	携
-峫	邪
-脅	胁
-諧	谐
-喈	谐
-寫	写
-冩	写
-悈	械
-啣	卸
-澥	懈
-绁	泄
-瀉	泻
-謝	谢
-塮	谢
-蕲	薪
-鋅	锌
-俽	欣
-厗	辛
-噺	新
-杺	心
-釁	衅
-暒	星
-睲	腥
-睲	猩
-瑆	惺
-興	兴
-鉶	刑
-侀	型
-郉	邢
-垳	行
-瑆	醒
-圉	幸
-莕	杏
-悻	性
-狌	姓
-兇	兄
-兇	凶
-洶	胸
-洶	汹
-熋	熊
-咻	休
-俢	修
-饈	羞
-溴	嗅
-鏽	锈
-琇	锈
-莠	秀
-繡	绣
-歔	墟
-濡	需
-虛	虚
-歔	虚
-噓	嘘
-歔	嘘
-須	须
-湏	须
-俆	徐
-許	许
-汻	许
-敘	叙
-溆	叙
-旮	旭
-垿	序
-胥	婿
-緒	绪
-續	续
-軒	轩
-蓒	轩
-媗	喧
-媗	宣
-懸	悬
-嫙	旋
-玆	玄
-選	选
-癬	癣
-妶	眩
-絢	绚
-學	学
-敩	学
-泬	穴
-膤	雪
-洫	血
-勳	勋
-勛	勋
-揗	循
-洵	旬
-詢	询
-咰	询
-尋	寻
-浔	寻
-馴	驯
-紃	驯
-廵	巡
-咰	殉
-卂	汛
-訓	训
-訊	讯
-卂	讯
-遜	逊
-卂	迅
-壓	压
-呷	押
-鴉	鸦
-鴨	鸭
-吖	呀
-吖	丫
-厊	芽
-厊	牙
-蕥	雅
-啞	哑
-亞	亚
-訝	讶
-冴	讶
-漹	焉
-閹	阉
-煙	烟
-殗	淹
-鹽	盐
-嚴	严
-妍	研
-啱	岩
-娫	延
-訁	言
-顔	颜
-閻	阎
-烾	炎
-殗	掩
-湮	演
-豔	艳
-滟	艳
-嬿	燕
-厭	厌
-硯	砚
-彥	彦
-熖	焰
-匽	宴
-諺	谚
-驗	验
-験	验
-姎	央
-鴦	鸯
-楊	杨
-昜	杨
-揚	扬
-婸	扬
-瘍	疡
-咩	羊
-樣	洋
-陽	阳
-卬	仰
-癢	痒
-養	养
-樣	样
-羕	漾
-撽	邀
-崾	腰
-岆	妖
-瑤	瑶
-愮	瑶
-搖	摇
-愮	摇
-堯	尧
-遙	遥
-滛	遥
-窯	窑
-窰	窑
-謠	谣
-愮	谣
-烑	姚
-吆	咬
-藥	药
-葯	药
-婹	要
-倻	椰
-倻	耶
-爺	爷
-嘢	野
-竾	也
-頁	页
-業	业
-鄴	业
-葉	叶
-旪	叶
-液	夜
-壹	一
-①	一
-醫	医
-悘	医
-銥	铱
-畩	依
-吚	伊
-扆	衣
-頤	颐
-遺	遗
-簃	移
-儀	仪
-寲	疑
-侇	姨
-彜	彝
-掎	椅
-蟻	蚁
-掎	倚
-巳	已
-乁	乙
-姒	以
-藝	艺
-兿	艺
-昜	易
-億	亿
-洂	亦
-嬑	意
-藙	毅
-憶	忆
-義	义
-谥	益
-詣	诣
-議	议
-誼	谊
-譯	译
-異	异
-繹	绎
-筃	茵
-蔭	荫
-洇	因
-堷	音
-陰	阴
-隂	阴
-絪	姻
-荶	吟
-銀	银
-檭	银
-婬	淫
-夤	寅
-飲	饮
-飮	饮
-吚	尹
-吲	引
-隱	隐
-陻	隐
-茚	印
-渶	英
-櫻	樱
-璎	樱
-嬰	婴
-璎	婴
-鷹	鹰
-應	应
-纓	缨
-瑩	莹
-螢	萤
-營	营
-熒	荧
-蠅	蝇
-迊	迎
-贏	赢
-盁	盈
-穎	颖
-颕	颖
-哽	硬
-眏	映
-喲	哟
-擁	拥
-砽	拥
-傭	佣
-砽	佣
-癰	痈
-滽	庸
-澭	雍
-踴	踊
-詠	咏
-怺	咏
-怺	泳
-湧	涌
-悀	涌
-怺	永
-湧	勇
-鼡	用
-豳	幽
-優	优
-沋	优
-滺	悠
-憂	忧
-沋	忧
-甴	由
-郵	邮
-鈾	铀
-猶	犹
-沋	犹
-怞	油
-遊	游
-洧	有
-伖	友
-祐	右
-祐	佑
-誘	诱
-叒	又
-孧	幼
-扜	迂
-菸	淤
-纡	于
-輿	舆
-悇	余
-揄	俞
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-洎	自
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-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature/nature.map b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature/nature.map
deleted file mode 100644
index d14f2ce7b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature/nature.map
+++ /dev/null
@@ -1,50 +0,0 @@
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-22	22	nr	20061
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-25	25	nx	459
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diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature/nature.table b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature/nature.table
deleted file mode 100644
index 8f3721361..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature/nature.table
+++ /dev/null
@@ -1,50 +0,0 @@
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-0	2	1003	21	5	26	179	0	8	349	2	0	31	0	69	122	0	82	1942	0	2626	43	149	494	30	9	45	0	270	59	664	0	81	207	3	3	0	0	19	0	0	0	785	5	5	496	370	6	0	24
-0	0	20	9	0	0	0	0	1	29	0	0	0	0	10	0	0	8	6	0	4	0	0	0	0	0	0	1	199	0	4	0	0	0	0	0	0	0	0	0	0	0	1803	1	4	1	19	0	0	2
-0	2	138	4	2	18	20	0	2	42	0	0	7	0	18	14	0	8	155	0	497	2	30	56	2	1	4	1	35	12	139	0	15	18	3	1	0	0	24	0	0	0	195	1	0	16	157	1	0	24
-0	661	6913	851	69	741	1741	1	2092	4988	19	0	2445	13	875	1852	13	1079	10903	1	34362	1107	1298	5012	369	62	413	6	6621	515	7086	3	802	1841	53	625	576	438	10591	10006	110	1622	30472	109	183	4728	29379	813	0	161
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-0	6	58	1	6	7	14	0	13	28	0	0	8	0	9	36	2	4	86	0	433	54	10	65	2	0	3	1	65	4	58	0	4	56	4	10	1	3	18	13	0	12	214	0	5	21	523	6	0	3
-0	262	286	108	0	57	134	0	2147	1160	0	0	1110	0	58	40	1	71	170	0	15841	109	9	38	0	3	6	0	317	2	89	0	51	42	2	344	0	0	2247	0	4	0	2683	13	8	3364	11806	25	0	8
-0	46148	2796	1646	49	92	1316	1	6660	10173	28	11	875	5	1188	1786	49	1189	4355	1	21974	298	7184	6332	982	169	1407	16	8087	153	7581	2	459	2568	75	337	4	2	1244	15	4	6	26623	71	227	2329	6280	42	0	207
-0	26	0	0	0	0	0	0	0	2	0	0	1	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	4	0	1	0	1837	15	0	0
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-0	12	35	0	1	4	2	0	16	10	0	0	5	0	1	0	0	2	41	0	299	2	1	4	0	0	0	0	14	0	1	0	4	3	1	7	0	0	303	1	83	0	179	0	4	9	262	3	0	6
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature_class_suffix.txt b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature_class_suffix.txt
deleted file mode 100644
index 912745e5b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/nature_class_suffix.txt
+++ /dev/null
@@ -1,996 +0,0 @@
-公司	nt	883182.0
-厂	nt	689589.0
-部	nt	337479.0
-中心	nt	159768.0
-商行	nt	71428.0
-办事处	nt	61678.0
-加工厂	nt	57852.0
-店	nt	52534.0
-站	nt	50292.0
-机械厂	nt	39491.0
-集团	nt	35976.0
-业	nt	32541.0
-业务部	nt	31541.0
-商店	nt	27311.0
-行	nt	24684.0
-处	nt	22266.0
-门市部	nt	19569.0
-总公司	nt	19119.0
-研究所	nt	18541.0
-经销处	nt	18359.0
-工作室	nt	18259.0
-加油站	nt	17740.0
-基地	nt	17597.0
-化工厂	nt	15048.0
-经营	nt	14226.0
-印刷厂	nt	13281.0
-服务部	nt	12905.0
-批发部	nt	12852.0
-专卖店	nt	11758.0
-事务所	nt	11576.0
-食品厂	nt	11366.0
-学校	nt	11126.0
-场	nt	11015.0
-合作社	nt	10824.0
-制造厂	nt	10702.0
-集团公司	nt	8663.0
-代表处	nt	8250.0
-所	nt	8187.0
-商场	nt	8042.0
-养殖场	nt	8034.0
-队	nt	7689.0
-学院	nt	7305.0
-超市	nt	7261.0
-修理厂	nt	6928.0
-总代理	nt	6703.0
-办	nt	6651.0
-营业部	nt	6625.0
-制衣厂	nt	6191.0
-铸造厂	nt	6010.0
-总汇	nt	5997.0
-服装厂	nt	5863.0
-总厂	nt	5703.0
-分厂	nt	5341.0
-实业	nt	5036.0
-社	nt	4896.0
-办公室	nt	4844.0
-协会	nt	4722.0
-坊	nt	4687.0
-总部	nt	4621.0
-药店	nt	4591.0
-局	nt	4590.0
-机构	nt	4569.0
-酒厂	nt	4496.0
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-门市	nt	3942.0
-建材厂	nt	3931.0
-大酒店	nt	3913.0
-中学	nt	3849.0
-俱乐部	nt	3721.0
-旅行社	nt	3691.0
-企业	nt	3655.0
-鞋业	nt	3573.0
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-服装店	nt	3275.0
-工程部	nt	3231.0
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-商务部	nt	3171.0
-城	nt	3118.0
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-网	nt	3019.0
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-工厂	nt	2739.0
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-心	nt	2683.0
-室	nt	2655.0
-服务站	nt	2654.0
-小学	nt	2448.0
-研究院	nt	2409.0
-专营店	nt	2386.0
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-饲料厂	nt	2326.0
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-院	nt	1810.0
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-连锁店	nt	1779.0
-煤厂	nt	1705.0
-布厂	nt	1650.0
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-冶炼厂	nt	1603.0
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-纸厂	nt	1572.0
-商城	nt	1565.0
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-司	nt	1445.0
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-营业厅	nt	1381.0
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-煤矿	nt	1361.0
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-宾馆	nt	1301.0
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-工会	nt	301.0
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-置业	nt	286.0
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-山庄	nt	199.0
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-工艺	nt	198.0
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-兽药厂	nt	185.0
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diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/newWord/newWordFilter.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/newWord/newWordFilter.dic
deleted file mode 100644
index b9f9f4378..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/newWord/newWordFilter.dic
+++ /dev/null
@@ -1,1535 +0,0 @@
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\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/newWord/new_word_freq.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/newWord/new_word_freq.dic
deleted file mode 100644
index 356bb5480..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/newWord/new_word_freq.dic
+++ /dev/null
@@ -1,66029 +0,0 @@
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-造纸厂	0	4	13
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-鉴赏家	0	1	2
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-哈站	0	0	9
-太原市	425	19	1
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-村务	5	8	0
-脚手架	10	41	18
-本土	43	74	0
-驻扎	1	0	0
-丁苯橡胶	2	0	1
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-杜克	45	30	27
-由浅入深	16	1	0
-景深	12	2	1
-盗车	0	3	1
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-月季	46	40	38
-文言	17	47	6
-本国	6	6	7
-直译	2	3	1
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-叫门	0	1	3
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-赫鲁晓夫	8	3	4
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-硬座	1	5	2
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-相让	0	0	1
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-钦州港	2	2	0
-风雷	31	16	25
-风雹	1	2	1
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-后金	6	1	0
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-朝夕	7	1	9
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-嘹亮	0	2	5
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-硬干	0	0	1
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-旅游区	10	19	577
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-金翅雀	2	6	24
-风雅	42	75	11
-旋毛虫	1	2	0
-规范	74	1429	1438
-叙事诗	0	9	9
-砧木	0	0	3
-杰作	10	36	23
-盗运	1	0	0
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-人事局	0	2	103
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-扫帚星	1	1	0
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-向量	33	53	46
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-敞车	0	0	27
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-曹州	29	9	0
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-和缓	2	0	1
-唱歌	23	56	61
-老当益壮	0	0	2
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-否认	2	4	10
-发问	1	0	5
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-是的	3	1	0
-巩乃斯	14	0	0
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-后身	1	1	0
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-首站	0	1	0
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-角膜	65	70	8
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-差不多	6	0	0
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-植物油	7	28	6
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-叶酸	12	62	12
-无聊	23	12	12
-现象学	23	43	23
-娘娘庙	7	5	19
-月山	17	19	9
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-合辙	2	0	4
-知母	15	14	4
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-电解液	2	1	2
-驾御	1	0	2
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-月岩	6	5	8
-伊拉克共和国	2	2	0
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-椰子树	2	1	6
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-硬实	3	1	0
-村史	0	5	2
-吉达	23	23	6
-皇陵	10	28	51
-板书	2	3	7
-骗局	4	13	56
-春去秋来	0	1	0
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-曲径	1	2	3
-皮重	0	3	2
-矫正	24	174	59
-中央纪委	0	16	0
-极为	1	1	0
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-高呼	1	1	0
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-名车	17	41	18
-确实	1	5	1
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-无能	13	8	13
-骇异	0	0	1
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-发难	0	3	0
-高唱	1	1	1
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-听讲	0	13	2
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-改锥	1	0	0
-木头	43	17	11
-听诊	2	5	0
-明石海峡	2	1	0
-越来越	11	13	0
-誓死	8	1	1
-松仁	124	58	16
-双面	202	147	3
-人工岛	0	0	14
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-听证	8	78	8
-淮海战役	17	6	4
-善战	1	0	3
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-反面	16	4	3
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-直觉	29	28	12
-瞌睡	12	9	3
-古钱	16	24	3
-直视	3	6	0
-听说	56	350	51
-木变石	1	0	1
-直角	37	15	2
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-登顶	1	4	2
-非营利性	2	0	0
-山楂糕	4	0	15
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-双学双比	0	1	0
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-哲理	28	283	121
-告密者	2	0	4
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-曼延	0	0	1
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-各部	0	1	0
-瞑目	0	0	9
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-奇谈怪论	1	0	0
-来到	7	55	8
-马战	5	4	0
-保送生	0	8	0
-吉首市	20	0	0
-瞎眼	3	1	0
-马戏	12	23	10
-杨凌	78	18	0
-朱墨	5	3	3
-大半生	0	0	1
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-国防科工委	2	2	0
-投机倒把	2	0	0
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-龙川县	23	0	0
-后进	4	0	0
-竭泽而渔	0	0	1
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-贝尔法斯特	9	3	0
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-要账	0	1	1
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-矛盾律	0	0	1
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-警力	0	0	1
-普米族	10	9	2
-香米	13	29	25
-白领	201	140	28
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-阿瑟港	1	0	0
-木姐	1	0	0
-括约肌	0	4	10
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-同道	3	8	3
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-凤凰山	63	58	32
-法国史	0	2	2
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-砖木	1	0	0
-海尔波普	3	0	0
-文豪	1	47	26
-喘息	8	5	7
-羊卓雍湖	2	0	0
-恐怖症	0	1	21
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-西贡	38	4	2
-蜡嘴雀	0	0	10
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-高喊	0	0	2
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-嘉勉	0	0	1
-古镇	50	214	426
-磁力	112	179	5
-一不小心	14	0	0
-厄瓜多尔	52	7	4
-死胡同	3	0	2
-吃醋	4	2	4
-锡伯族	19	12	2
-骨学	0	15	2
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-万古长青	1	1	0
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-各路	1	3	0
-本利	3	5	7
-皮面	1	11	2
-碾坊	2	0	0
-狗尾草	6	2	21
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-喷头	7	7	62
-双钩	20	9	2
-史迹	2	24	11
-口里	0	4	0
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-本分	1	7	0
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-体膨胀	1	0	0
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-喷壶	0	0	1
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-星牌	3	12	6
-木制	34	27	0
-飞轮	24	22	13
-高利	14	71	0
-木刻	14	34	10
-磨刀	16	103	7
-碰壁	2	1	1
-去除	3	23	2
-混血儿	4	0	2
-飞过	5	12	7
-角落	10	32	43
-裸麦	3	6	0
-立锥之地	0	0	6
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-营养师	27	80	35
-风采	17	91	87
-木匠	20	16	17
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-嗖嗖	0	0	1
-冒牌货	1	0	1
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-朵儿	7	7	9
-核科学	6	15	0
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-联欢节	0	0	4
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-本剧	0	0	2
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-更夫	0	0	4
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-碰头	3	0	4
-皮靴	0	1	20
-族类	0	1	2
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-装载机	13	14	28
-老百姓	13	54	11
-风量	10	21	7
-颅骨	29	6	7
-商朝	18	1	3
-四季豆	55	20	174
-破格	9	1	0
-破案	8	45	16
-明瓦	1	6	0
-生产总值	0	20	15
-遂宁市	45	13	0
-巴黎公社	9	2	0
-碟子	3	3	2
-艺术史	15	67	88
-嗣后	1	0	0
-皮鞋	22	19	57
-朝向	8	4	2
-善待	42	25	0
-断肢	3	0	0
-磁场	40	54	71
-参阅	3	1	1
-五中全会	0	9	6
-无穷	52	32	38
-教训	3	26	54
-木原	15	6	1
-同路	3	4	0
-警句	1	28	12
-早稻	2	0	4
-机具	0	42	14
-优惠证	0	2	1
-阿尔卑斯	49	38	6
-幼稚病	0	0	3
-机关	108	933	135
-天南星	13	10	12
-说一不二	0	1	0
-村井	18	2	0
-绝对值	4	5	1
-白鹇	3	3	1
-口口声声	1	0	1
-善恶	24	19	5
-白鸽	24	33	37
-验尸	4	1	1
-科研型	1	0	0
-艺术品	24	224	21
-磷酸盐	10	11	61
-团结报	0	0	1
-支那	16	5	5
-月坛	9	16	2
-杏仁	548	553	75
-直达	15	14	10
-攀附	1	1	1
-飞速	12	10	0
-规范化	13	261	15
-后赵	13	4	0
-朱古力	20	10	9
-乐安县	45	2	0
-后起	3	1	3
-饱经	6	0	0
-磷光	8	2	0
-垃圾箱	1	1	10
-襄阳	370	63	7
-保龄球	16	31	88
-凉拌面	1	0	20
-麦当劳	43	8	12
-新闻学	23	51	20
-高升	28	29	0
-直辖	0	5	1
-叫醒	17	7	4
-石炭	13	2	0
-食道	21	7	2
-下定决心	2	0	0
-颊骨	0	0	1
-警号	0	1	0
-杭州市	890	35	1
-听见	18	18	7
-国大党	0	0	3
-听觉	46	18	8
-约翰逊	29	36	194
-无端	8	3	3
-支配	18	77	5
-警员	0	1	8
-短片	5	59	14
-十年磨一剑	1	0	0
-显灵	4	4	6
-改选	0	2	0
-高压	624	668	0
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-喜帖	1	2	0
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-相连	3	2	2
-个性化	45	73	3
-嗨哟	1	1	1
-完美无缺	1	2	0
-石煤	0	0	1
-南京市	845	29	1
-高危	28	13	0
-骗子	14	9	17
-反问	2	1	0
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-白面儿	1	0	0
-木叶	47	27	25
-骨头	43	125	70
-垃圾站	1	1	2
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-星球	199	251	219
-改进	15	276	32
-巩义市	260	17	0
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-纯中药	1	1	0
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-后路	7	2	0
-断臂	12	3	0
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-生产厂	0	0	18
-直通	46	186	4
-改过	4	0	4
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-白鹳	1	3	4
-直选	1	2	6
-支部	4	72	66
-白鹭	59	70	15
-映现	0	0	1
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-商标	258	510	168
-白鹤	104	48	10
-砚池	12	4	5
-和约	2	6	0
-本区	0	1	1
-颤音	5	2	14
-吟诗	2	9	2
-颞颥	1	0	0
-日立	208	24	1
-高原	196	340	227
-组成部分	0	0	4
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-救起	1	0	0
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-胆管炎	0	0	10
-放过	3	18	3
-昌盛	19	67	27
-西边	6	9	2
-酱豆腐	2	12	18
-飞贼	5	2	4
-叹赏	0	0	1
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-首相	6	12	12
-本名	1	4	2
-克勤克俭	1	0	0
-旋绕	1	0	0
-旱稻	11	6	3
-骑墙	3	0	1
-旅美	12	8	0
-瞩目	1	11	6
-晦气	1	0	0
-公开赛	0	8	213
-暗昧	2	0	0
-盘道	6	1	0
-新航	30	34	1
-口述	24	148	14
-阳春砂	1	0	0
-毛里求斯共和国	0	1	0
-最好	2	1	0
-改造	41	362	123
-饧糖	1	0	0
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-最新	1710	1139	3
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-阿摩尼亚	2	0	0
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-品牌	732	1479	244
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-四郎探母	1	0	1
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-司局级	0	3	0
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-眼神	2	26	17
-面制品	6	5	0
-黑斑病	0	0	114
-唱响	23	17	0
-发网	2	5	234
-暂时	36	10	0
-杀价	2	0	1
-有喜	0	10	19
-解禁	8	6	10
-疲惫不堪	1	0	0
-印相纸	0	0	2
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-明理	8	7	18
-有神论	0	1	1
-半边	50	38	2
-驻外	16	13	0
-直航	3	1	5
-宗教界	0	2	0
-杂事	3	6	2
-司空	27	21	4
-触礁	0	4	0
-晾晒	2	3	0
-明珠	106	485	270
-龙海市	38	3	1
-纺织厂	6	5	10
-无私	3	3	18
-单身	139	75	21
-倾斜度	0	0	2
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-政资	1	1	0
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-有起色	0	0	1
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-骤变	2	1	1
-智术	0	0	3
-机修	28	16	2
-厉行	0	0	1
-万事吉	1	0	0
-塔利班	2	2	0
-散装	29	73	3
-职业化	21	47	13
-区党委	0	2	7
-咨文	0	1	3
-催眠曲	0	0	3
-未决	8	1	8
-初生之犊	2	0	0
-巫山县	62	2	0
-页面	23	15	11
-擦音	0	0	10
-非暴力	5	5	0
-刑事犯罪	8	8	0
-饭票	0	0	3
-别有天地	2	0	0
-木化石	3	4	2
-眼福	0	1	0
-暴怒	17	2	3
-骨化	13	30	5
-十六进制	5	0	1
-白送	0	1	0
-新绛	9	5	0
-定时器	3	5	8
-匹配	15	50	62
-机会	53	77	113
-大动脉	3	9	4
-晴朗	8	11	10
-发给	0	13	0
-石担	0	1	0
-口粮	0	2	9
-潜水艇	14	5	25
-厚薄	3	0	0
-风貌	1	34	23
-普查	5	136	46
-新线	4	1	8
-催眠术	17	18	18
-流行歌曲	17	72	8
-文莱	44	13	6
-参股	4	11	2
-收起	1	0	0
-可笑	4	9	4
-坡耕地	1	0	0
-估价表	0	0	1
-阿克莫拉	1	0	0
-碘仿	2	1	1
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-新编	3853	568	2
-杀人	143	274	55
-怀孕期	1	0	0
-瘦高	1	2	0
-顾问	20	1104	236
-直至	3	4	0
-晋江	189	43	1
-末儿	0	1	1
-孺子牛	2	1	0
-调节税	0	2	5
-木兰	246	156	83
-社会科学界	0	71	0
-哀戚	1	0	0
-新绿	13	12	0
-升迁	5	17	7
-芝麻酱	51	15	13
-食言	0	0	3
-映照	0	6	2
-向着	22	6	0
-发绿	0	1	0
-机体	11	4	5
-呵欠	1	0	2
-暴徒	8	3	8
-无礼	1	1	4
-文萃	1	28	72
-石拱	1	3	1
-机位	1	1	2
-吹牛	13	15	3
-风谣	0	0	2
-收购	17	108	84
-半身	18	19	7
-骨力	3	4	5
-兵马俑	15	25	25
-奴隶制度	0	2	1
-显影剂	0	1	1
-南货	1	2	0
-支路	8	6	4
-哲学	306	2170	943
-乳疾灵	2	0	0
-卡诺	50	64	52
-无碍	3	11	11
-二十五史	22	15	4
-皱褶	7	2	1
-莆田县	4	1	0
-名目	2	2	1
-参考	61	608	160
-空前绝后	2	3	0
-第一手	5	1	0
-机井	5	3	0
-电磁辐射	10	11	2
-卓越	300	507	55
-原著	4	65	4
-道外区	0	4	2
-匿迹	2	0	7
-茶鸡蛋	0	0	1
-试验场	0	4	22
-饭碗	2	10	11
-西葛	5	1	0
-新约	12	8	12
-唧唧	6	0	4
-女中丈夫	0	0	1
-古籍	57	239	8
-机件	2	7	0
-只管	3	1	0
-发红	0	4	0
-礼宾司	0	0	1
-益虫	1	0	0
-最大化	2	23	18
-断绝	2	0	3
-骨刺	17	24	11
-眉纹	5	4	0
-戒坛院	0	0	1
-只乐乡	3	0	0
-来龙去脉	0	1	3
-北方邦	0	3	0
-收费	22	357	46
-烂醉如泥	2	0	0
-期刊	36	245	82
-马奶	7	5	1
-偷香窃玉	0	0	2
-试验园	0	0	2
-方糖	3	2	4
-杂技团	0	1	50
-解码	70	91	90
-停薪留职	1	0	0
-受累	0	0	3
-星火	343	136	20
-文苑	32	47	50
-硬化	28	119	58
-有名	4	4	7
-大脑皮层	1	0	0
-未来型	1	0	0
-小型张	1	0	10
-合眼	1	0	0
-朋友	97	491	422
-直肠	63	74	1
-攻读	3	85	2
-穷途末路	1	0	2
-和服	3	6	5
-卑贱	1	3	0
-外经贸委	0	1	0
-机上	3	5	0
-易燃	10	4	0
-餐饮店	7	5	7
-砂心	1	0	0
-战争贩子	3	0	0
-斗胆	1	2	0
-马头	75	44	1
-短打	4	4	2
-砧子	1	0	0
-无知	17	10	19
-胆小鬼	15	6	9
-硫化	103	152	14
-凤凰县	40	4	1
-口算	16	113	10
-马夫	17	18	3
-北钢	1	2	0
-顶门	10	1	2
-高歌猛进	0	1	0
-八角亭	6	4	3
-硬卧	2	5	1
-时疫	4	1	0
-暖房	2	0	0
-杂技场	1	0	0
-学前教育	47	112	10
-登载	0	1	0
-相聚	9	5	4
-旅游业	34	75	3
-医道	16	2	5
-香蕉苹果	2	0	0
-放诞	4	0	0
-单质	5	2	3
-卸装	0	2	0
-响彻	4	3	0
-政论	2	5	1
-皲裂	4	0	6
-骗取	7	6	0
-相联	2	0	1
-责任区	0	4	2
-百战百胜	0	0	2
-驻地	4	11	3
-哀愁	2	29	37
-冒险性	1	0	0
-机关枪	7	0	19
-木偶	66	102	43
-云南省	1027	66	1
-同盟	17	179	218
-幻觉症	0	0	4
-春歌	1	2	8
-百隆	5	6	0
-电视塔	2	7	50
-石楠	17	11	95
-矿柱	1	0	8
-膝关节	51	23	2
-动荡不安	0	0	1
-受精	16	6	23
-明渠	9	7	4
-扬子鳄	5	6	1
-古筝	76	95	28
-完全小学	0	1	192
-周正	71	1	0
-碳刷	2	1	4
-哀悼	12	21	1
-去职	1	0	0
-砂枪	0	1	2
-项链	9	24	147
-防御区	0	5	0
-台秤	0	1	0
-卷层云	0	0	3
-亚博卢	0	2	0
-售卖	2	6	1
-视线	9	82	26
-古代史	1	32	13
-半路	27	10	1
-万花筒	9	11	29
-整肃	0	0	1
-香片	10	2	7
-碰到	0	8	0
-难为情	0	0	1
-顽钝	1	0	0
-受粉	0	0	2
-包间	0	1	0
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-盟誓	1	3	1
-和暖	0	1	0
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-品性	0	2	5
-调色盘	2	1	4
-卫视	10	120	97
-吸热	3	1	0
-电饭锅	27	2	7
-眼罩	2	7	20
-呼和浩特市	234	14	1
-雍和宫	6	18	4
-清凌凌	4	0	0
-名下无虚	1	0	0
-分子量	7	27	11
-华贵	10	6	10
-吸烟	20	29	11
-曲剧	0	4	5
-敬老养老	0	1	0
-受贿罪	8	1	8
-明清	427	285	48
-高锰钢	3	0	3
-饭盒	1	3	23
-斗篷	14	8	81
-呆滞	4	0	2
-命根	1	0	1
-哀怜	0	1	0
-哀思	3	1	3
-哑巴	19	6	1
-刀马旦	0	1	1
-胡桃肉	7	3	1
-擅长	1	2	0
-单调	15	5	0
-摸黑	3	0	0
-颠倒黑白	4	0	0
-非领导职务	2	2	0
-服从	22	19	10
-咏春	34	29	20
-旧物	3	0	3
-响度	1	0	2
-飞行	260	510	206
-含片	0	6	134
-各省	3	53	0
-石棺	2	27	8
-明白人	1	5	0
-裸露	16	2	0
-有余	4	28	28
-中国人民解放军	646	35	0
-响应	24	96	87
-哀怨	4	2	1
-哨子	7	8	6
-命案	9	8	31
-晒斑	0	0	1
-唢呐	19	10	34
-品德	16	161	79
-盛誉	2	3	0
-碴儿	0	0	1
-挡土墙	3	5	24
-升起	7	20	21
-骚动	6	10	24
-眼线	9	15	4
-气贯长虹	1	0	0
-旱烟	2	3	1
-单词	102	489	262
-和易	4	6	0
-单证	11	109	37
-登陆	27	83	32
-冷清清	0	1	0
-规约	2	11	16
-安第斯山	3	0	0
-反光性	0	3	0
-发糕	3	1	82
-石棉	66	44	13
-有伤	0	1	0
-晨报	5	9	38
-唠叨	7	4	1
-县级	37	76	0
-铁法市	0	0	1
-旁白	1	0	1
-同音词	0	7	1
-商住	8	11	0
-月令	5	6	10
-石桥	99	199	52
-名画	16	109	0
-早熟	43	254	8
-自来水	26	116	0
-有人	26	65	4
-明洞	4	9	9
-委内瑞拉	76	13	3
-串并联	2	5	1
-后生	23	2	0
-君王	19	21	18
-景慕	2	0	0
-卓识	1	1	3
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-金枝玉叶	3	0	6
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-唏嘘	1	1	1
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-核桃酪	2	0	10
-下一代	52	59	0
-眼红	4	4	5
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-老花镜	0	0	5
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-卡规	2	0	2
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-攀越	2	2	0
-驳回	3	0	1
-国际歌	0	1	0
-包销	4	2	14
-商会	14	152	1010
-协调	64	466	72
-易水	20	5	5
-癌魔	1	0	1
-十足	4	7	10
-设计局	0	4	32
-磁体	6	13	23
-临漳县	11	2	0
-有些	7	9	0
-第一性	4	1	0
-道格拉斯	90	29	39
-责任制	4	116	43
-旱灾	0	4	3
-有事	5	1	0
-住宅楼	0	5	12
-曲江县	2	0	0
-勘验	4	4	2
-月亮	299	262	195
-原色	17	217	5
-康斯坦察	4	0	0
-明沟	1	1	1
-有为	12	50	38
-香炉	21	17	73
-石柱	67	32	34
-吉田	124	18	5
-铝型材	12	29	12
-羽毛球	50	172	33
-华诚	18	40	3
-敌营	6	3	4
-昏沉	0	1	0
-青尼罗河	3	0	0
-盐城市	221	15	0
-华诞	0	56	9
-题辞	0	4	2
-平安里	3	3	1
-最低	90	178	0
-白锡	10	0	0
-商代	108	42	0
-华语	56	82	7
-计算机网	2	1	1
-最佳	253	706	0
-刻度尺	0	0	2
-石栏	3	2	2
-和数	0	6	0
-消息报	0	1	3
-西藏	1318	389	99
-马革裹尸	1	0	0
-明泉	2	6	21
-西北风	8	13	3
-飞蝗	4	5	7
-高青县	21	2	0
-分散剂	11	3	35
-硬套	0	0	1
-造纸业	0	1	0
-响当当	1	4	8
-和文	5	5	0
-明治	52	25	317
-发簪	0	0	15
-斗笠	16	14	10
-商事	62	215	4
-见怪不怪	3	0	0
-敬老	12	4	2
-白银	207	75	6
-口福	9	10	7
-海市蜃楼	3	3	11
-西南部	1	5	1
-厩肥	1	0	0
-石林	65	74	129
-硬壳	10	2	0
-化石群	0	5	22
-设计家	16	9	0
-新知	15	42	0
-合用	1	8	0
-地震烈度	3	12	1
-吊瓶	7	1	0
-方盒	1	2	57
-举手投足	0	1	0
-政治化	0	3	1
-香烛	0	0	2
-日照	494	82	12
-整编	3	16	10
-救荒	6	1	1
-商人	29	136	94
-碗口	1	2	0
-万里长城	13	2	9
-昌河	23	17	7
-香烟	21	16	57
-月中	12	1	6
-协议	64	229	821
-沙门氏菌	5	12	3
-包钢	38	18	5
-白铁	9	2	0
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-充要条件	1	0	0
-取笑	0	0	1
-工作日	5	1	11
-石板	82	55	24
-日用	35	120	4
-曹县	82	7	1
-石松	19	18	36
-向珠	0	0	1
-白铜	13	6	25
-麦秆虫	1	0	0
-双簧	3	1	3
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-各界	1	16	1
-冀州市	25	5	0
-勾销	0	0	2
-比色计	0	2	12
-文联	1	20	47
-朋党	6	1	2
-偷梁换柱	1	0	2
-文职	8	10	0
-杂拌儿	0	0	1
-飞蛾	19	18	13
-频道	14	136	818
-右眼	2	13	4
-似曾相识	7	1	1
-博览	13	333	138
-建筑学	29	53	15
-暗影	112	66	13
-受窘	0	0	1
-香灰	1	0	0
-哭声	1	1	5
-无疑	0	0	2
-石材	85	330	37
-香火	23	19	4
-骂名	0	0	1
-合璧	5	35	29
-有关	28	644	17
-商丘	355	30	5
-晕机	3	0	2
-北里	17	64	64
-商业	1013	2763	56
-避雷针	1	1	8
-旱獭	2	2	7
-更名	3	24	2
-暴富	6	3	3
-碑名	0	82	0
-外交部长	0	2	2
-试验室	2	8	33
-朝代	11	8	7
-西装	6	6	10
-狮子座	22	7	9
-无畏	46	44	24
-方程	6	121	364
-昂然	5	0	2
-同班	3	0	0
-宁死不屈	0	1	0
-发笑	2	3	0
-鸡尾酒	27	19	114
-演播室	5	1	7
-概率论	146	61	7
-风行	51	58	14
-月光	250	144	94
-盛装	14	16	7
-骑兵	19	123	139
-春熙路	2	1	0
-新竹	59	19	7
-正当防卫	6	2	3
-无用	15	14	8
-斑纹	51	38	6
-脑膜炎	8	4	31
-机关报	0	1	0
-短枪	1	0	1
-无由	1	4	1
-正常人	0	1	1
-巴东县	49	3	0
-叛离	1	0	0
-晚景	3	9	10
-西柏坡	25	11	6
-勾针	1	0	1
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-早班	1	0	0
-团组织	2	6	0
-饭田	32	0	0
-发端	1	2	3
-里脊肉	5	14	49
-艳阳天	12	15	19
-一木难支	0	0	1
-新章	1	1	0
-同现	0	1	0
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-骨伤	50	108	10
-散落	13	6	1
-胆战心惊	1	0	0
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-国际法	70	89	28
-迄今为止	1	0	0
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-文化人	9	2	3
-彭州市	27	3	0
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-风衣	1	2	6
-鹿蹄草	6	1	26
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-最初	33	38	4
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-口碑	32	46	11
-监视	16	65	20
-恩平市	19	0	0
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-期望值	2	1	3
-雪花膏	2	0	2
-吊环	4	2	2
-英姿飒爽	2	0	0
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-期中	12	20	1
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-变种	40	1210	281
-盛行	6	8	2
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-放血	4	4	0
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-新建县	38	3	0
-曾凯	4	0	0
-春水	14	39	43
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-验光	5	38	10
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-最先	3	1	0
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-刀斧手	0	0	1
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-同轴电缆	2	4	12
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-土皇帝	1	0	1
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-白玉兰	22	24	3
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-街道	65	1717	3951
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-枸杞	972	739	48
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-二元酸	0	0	2
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-里约热内卢	18	8	1
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-栾城	17	6	0
-条形码	12	6	12
-地狱谷	1	1	6
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-印花	41	232	69
-劈里啪啦	0	1	0
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-多发病	0	4	0
-框图	1	3	9
-罗定市	28	0	0
-条状	3	1	0
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-印色	0	4	0
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-同方向	1	0	0
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-桂圆	292	275	23
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-查抄	0	1	0
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-查找	5	35	14
-昼间	2	3	0
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-反码	2	1	1
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-古画	8	35	1
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-最终	246	97	2
-枯槁	2	1	4
-春饼	11	3	24
-萨克管	2	0	0
-瑞丽市	11	1	0
-含油	23	20	0
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-暗记	1	8	3
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-火山地震	1	1	3
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-叶猴	2	17	40
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-来犯	0	2	1
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-哀婉	0	2	0
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-发送器	0	0	5
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-看来	0	0	1
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-着想	0	1	0
-海德公园	3	1	8
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-标定	10	11	14
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-烈士墓	1	10	120
-皮猴	2	1	1
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-瘸腿	9	0	0
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-赫尔辛基	32	15	2
-哭喊	1	0	1
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-马莲	22	7	0
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-哽咽	4	1	0
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-春雷	16	16	54
-空谷足音	1	0	0
-膨体纱	1	0	1
-北辰	62	44	17
-品尝	5	9	3
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-春雨	64	48	68
-行迹	1	0	5
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-龙庆峡	6	0	2
-塔吉克族	11	3	2
-℃	1	3	0
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-柴店	1	2	2
-皮球	11	18	6
-唬人	0	1	1
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-单被	1	0	0
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-哈密	133	34	0
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-周末	107	64	49
-阿尔山	58	3	2
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-多晶体	0	1	0
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-枯枝	7	5	0
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-马蓝	5	5	55
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-木琴	0	14	6
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-目测	4	2	1
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-哲人	16	23	5
-曾祖	2	1	1
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-大提琴	27	58	9
-表里	25	1	7
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-易门	21	2	0
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-眩晕	20	28	59
-桥下	14	10	1
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-桂剧	1	0	0
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-司门前镇	1	0	1
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-行销	16	60	50
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-哈哈	71	45	19
-要点	0	304	0
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-呼市	8	1	1
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-口炎	5	3	39
-和尚	66	155	204
-发狂	4	3	5
-投票权	0	1	2
-京韵大鼓	0	1	1
-后步	0	2	0
-果木	7	30	36
-传动带	2	2	0
-魔手	5	11	6
-史诗性	1	1	0
-柿子	61	50	44
-发狠	0	1	0
-吃法	1	14	16
-哎呀	21	4	1
-毒瓦斯	0	0	1
-雅加达	23	15	1
-激光束	2	1	1
-火腿肠	28	12	28
-栀子	58	39	23
-桂南	17	6	5
-高热	15	7	0
-西点	82	69	23
-多普勒	50	59	9
-纪念物	0	1	3
-同比	9	1	0
-印纹	16	23	5
-骨盆	29	9	9
-合江	44	17	0
-纪念牌	0	0	10
-资源量	0	2	12
-杂牌	2	0	0
-高烧	3	0	0
-柔情	26	38	42
-华英	20	27	29
-有神	1	7	6
-类固醇	13	7	13
-果林	2	12	7
-短促	3	0	1
-纪念版	1	14	42
-鬃毛	5	3	3
-去病	1	14	14
-月票	1	0	3
-华茂	20	54	5
-劫难	1	15	21
-熊猫馆	1	0	6
-杂物	2	7	5
-枝条	2	2	2
-行间	4	0	0
-后母	3	3	0
-样品	30	51	19
-哇啦	6	7	4
-不可避免	6	0	0
-巴比伦	84	34	14
-哨兵	22	16	26
-化解	18	61	15
-白米	30	13	1
-切磋琢磨	1	0	0
-白城市	33	2	1
-食蚁兽	3	4	9
-印绶	3	0	2
-呼应	4	2	3
-北角	15	10	4
-瞎子	7	4	2
-本田	114	37	8
-喜怒无常	1	2	0
-桌前	0	1	0
-果枝	0	1	0
-原材料	5	23	7
-哪儿	0	15	12
-解救	43	28	2
-博斯腾湖	4	2	0
-哔叽	1	0	0
-疯长	1	3	4
-鬼方	3	3	0
-期盼	1	3	3
-监牢	1	0	3
-名气	0	0	2
-体育系	0	1	47
-卤肉	19	50	38
-时髦	22	13	2
-黑钨矿	1	0	0
-晕车	3	7	0
-各派	0	1	0
-解散	6	12	26
-单色	44	18	0
-南航	37	30	0
-动静	22	10	0
-餐饮部	4	4	0
-白粉	26	92	88
-解数	0	19	1
-石英钟	2	1	0
-合法	39	40	18
-枢机	2	2	0
-金灿灿	2	1	3
-景象	3	8	14
-昂首	7	0	0
-矫健	0	2	3
-来源	5	45	36
-工业品	41	48	3
-巴尔扎克	18	8	4
-临机应变	1	0	0
-朝着	8	1	0
-营养素	10	35	50
-睡意	2	1	0
-板正	0	1	0
-哎哟	9	6	0
-协调员	0	2	5
-包谷	22	10	0
-同江	33	4	4
-马约	30	27	6
-眉毛	18	10	5
-卖艺	3	0	1
-首领	16	28	18
-解放	198	339	89
-矿业	70	991	20
-东昌府区	5	8	0
-桦甸市	11	1	0
-华药	2	12	0
-哗变	0	0	4
-哆嗦	1	2	1
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-白糖	66	52	5
-裹腿	2	2	1
-发现	316	660	333
-覆灭	3	14	16
-呼延	68	3	0
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-馍馍	4	1	18
-有种	12	9	0
-木版	7	57	0
-晓谕	1	0	0
-直溜	1	0	1
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-呈文	1	0	1
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-各种各样	9	6	0
-合流	9	15	5
-垣曲县	5	0	0
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-吵架	1	8	4
-枸杞子	79	54	4
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-着数	0	1	0
-核儿	0	0	2
-补选	1	5	0
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-表达	34	315	193
-极板	0	4	0
-割麦	2	2	0
-台灯	1	3	0
-皱眉	1	0	0
-话务台	0	0	1
-褶皱	42	43	82
-拓扑学	6	11	16
-台州市	399	13	0
-规整	4	1	1
-板栗	237	124	108
-机灵	15	18	1
-煤化工	12	81	2
-矿井	164	41	20
-早餐	34	89	89
-发球	14	8	29
-工业区	6	44	214
-大白天	1	0	0
-案例	66	4878	1540
-南苑	79	136	41
-补过	4	0	6
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-响尾蛇	12	41	27
-松树	84	63	16
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-朱熹	51	26	7
-骨碌	10	8	1
-某年	5	0	2
-早饭	0	0	1
-吴桥	37	11	2
-建筑物	62	98	56
-查封	4	7	3
-魁星	17	27	8
-尼古丁	10	2	1
-构架	4	11	25
-盗犯	0	1	0
-机炮	2	7	24
-查对	0	3	0
-哌嗪	4	39	38
-裸线	1	3	0
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-暴胀	4	0	0
-根冠	1	0	0
-解手	1	19	0
-松桃	26	0	0
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-有的	3	9	1
-本片	0	0	2
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-桑皮纸	0	1	1
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-食物中毒	5	30	21
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-内寄生	2	0	0
-原稿	2	0	11
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-柔韧性	2	1	0
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-减速板	0	0	2
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-有益	15	14	8
-公务员	290	1609	56
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-魔掌	1	1	6
-西湖	331	450	95
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-月相	6	1	4
-隆尧县	10	0	0
-砂仁	68	41	39
-桓仁	86	3	0
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-双生	65	24	22
-板桥	76	154	19
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-表述	1	11	12
-名流	45	40	0
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-西游	142	131	101
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-落汤鸡	0	0	1
-皇粮	10	0	0
-明镜	28	15	21
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-厂级	5	0	0
-柱子	2	2	3
-厂纪	0	0	1
-果料	6	2	0
-发生	30	256	114
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-扣帽子	0	0	1
-加利福尼亚州	6	3	4
-哨卡	0	0	7
-阴错阳差	1	0	0
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-有着	0	1	0
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-监理	44	869	105
-果敢	12	6	3
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-雕刻师	0	0	1
-事业部制	2	2	2
-急救包	1	1	9
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-可燃	45	33	0
-工业化	35	176	34
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-国际制	2	2	0
-督抚	2	2	1
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-澳柯玛	34	9	1
-哨口	0	3	6
-月石	1	1	3
-发疯	2	3	5
-杂烩	19	22	39
-柔弱	20	5	1
-衰退	7	30	25
-大龄青年	1	0	0
-格力	326	62	1
-哺养	0	2	0
-观望	2	2	6
-厅级	1	4	0
-白纸	10	4	2
-古猿	2	17	13
-厘米	7	3	2
-矮凳	5	0	0
-聚伞花序	0	0	7
-唐代	334	73	1
-衡量	2	14	9
-盔甲	27	14	49
-同村	1	0	24
-丙烯酸	119	299	15
-纪念日	3	15	86
-卫生设备	2	2	1
-研习	0	40	4
-后期	31	309	0
-知名	39	89	3
-机组	22	157	156
-发源	0	13	10
-柏油	5	3	1
-咬合	6	4	4
-格律	16	36	8
-柠檬	508	371	50
-扶贫办	0	3	19
-古汉	24	20	1
-吊架	2	3	19
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-后人乘凉	0	0	2
-读书声	0	0	2
-标明	1	0	0
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-白羽	24	18	15
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-人来人往	0	0	1
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-柴树	7	1	0
-木马计	0	0	1
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-员工	277	747	212
-高粱	111	72	35
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-染毒	1	0	1
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-马褂	3	4	18
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-行风	4	12	3
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-魔法	1295	1233	219
-动力源	0	4	2
-骨质增生	15	18	6
-枪炮	18	9	7
-副食	2	17	0
-柳树	113	42	7
-咕噜	55	93	13
-知县	3	9	6
-同月	0	2	1
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-盐田	35	22	3
-乌礁湾	2	0	0
-仓山区	5	6	1
-一触即发	3	0	1
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-忠贞不渝	1	0	0
-双湖	14	8	3
-鸿门宴	6	2	5
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-盲点	9	10	18
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-向明	15	6	0
-青少年宫	4	10	39
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-去火	5	11	0
-服药	3	8	0
-勘误	1	2	1
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-咕嘟	6	1	2
-南粤	28	26	1
-受洗	1	0	2
-单糖	1	0	1
-剩饭	0	3	3
-洲际导弹	0	2	51
-动量	27	20	10
-真正	47	112	2
-橘子汁	0	0	10
-盘球	2	0	0
-冶炼厂	0	5	13
-直爽	0	1	0
-石南	22	3	11
-可比	12	21	0
-西画	2	5	1
-石印	11	16	8
-信天翁	10	11	22
-同桌	38	44	18
-国际性	4	4	1
-行驶	10	35	16
-肺结核	16	8	26
-包衣	8	28	5
-更衣	12	0	4
-单纯	112	47	8
-参照	21	25	11
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-阿拉伯埃及共和国	0	2	0
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-卓绝	1	0	2
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-吊桥	5	5	25
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-短句	0	26	22
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-国防报	0	1	1
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-月薪	2	1	4
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-同样	2	7	0
-吹拂	0	1	3
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-梅花奖	0	1	1
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-印章	28	68	58
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-咯吱	2	2	1
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-宛城区	4	3	1
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-华约	5	3	0
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-司法	384	1779	42
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-机票	29	29	24
-枪毙	2	1	0
-名旦	0	5	9
-威海卫	21	13	1
-沈阳市	1006	9	1
-话剧史	1	5	0
-树形	25	5	0
-包藏	1	0	0
-同时	33	37	5
-反转片	1	0	1
-后方	6	14	10
-消防处	1	0	1
-定向招生	0	1	0
-西皮	6	8	2
-同日	4	4	1
-经典之作	0	1	7
-空城计	4	2	1
-世界屋脊	8	6	2
-杜甫	69	60	21
-装货	4	7	1
-同音字	0	1	0
-咚咚	6	12	6
-砂土	4	0	6
-动手术	0	2	0
-拍案叫绝	0	2	1
-极点	16	10	7
-木简	2	1	6
-制黄	1	5	0
-皇朝	33	76	46
-康采恩	2	1	1
-发送机	0	2	5
-稀奇古怪	13	5	0
-明证	1	0	2
-昂贵	2	6	2
-补缀	1	0	0
-利马	41	71	40
-呢喃	3	0	4
-视听	52	327	20
-五莲县	22	2	0
-高攀	5	3	3
-晚节	5	2	1
-药用菌	2	7	0
-白案	3	0	0
-查办	19	3	0
-补给	6	76	19
-西岳	15	8	0
-狮子狗	1	0	7
-松弛	20	32	15
-华盖	22	5	3
-同志	34	176	41
-月浦	16	6	0
-变星	4	7	39
-枝子	9	14	40
-早逝	0	2	0
-西岸	42	88	22
-断面	20	49	33
-湛河区	2	2	0
-取景	3	16	7
-拨乱反正	2	0	0
-春装	1	3	21
-松开	0	1	0
-极度	74	25	1
-咖啡壶	2	5	3
-角力	3	1	4
-号房	2	9	1
-叙旧	1	3	2
-监工	0	2	1
-柔和	6	7	0
-补缺	3	4	2
-果子	35	48	49
-泡沫塑料	12	16	17
-吃惊	1	9	2
-施工图	8	145	18
-高效	450	1297	5
-前门	24	53	2
-可视电话	1	1	2
-功课	1	9	16
-盐巴	3	1	0
-制药学	0	1	2
-邳州市	84	25	0
-补缴	0	0	1
-同心	124	73	38
-号手	1	7	0
-行船	0	8	6
-加试	4	4	1
-西峰	36	26	16
-潭头镇	1	2	2
-南疆	35	13	0
-高支	4	1	0
-午睡	9	3	4
-西峡	41	8	1
-北极点	0	2	1
-双杠	2	3	0
-盐川	2	0	0
-相处	4	41	21
-马口铁	11	1	1
-斑驳	4	17	3
-着儿	0	0	2
-暗箭	4	1	1
-构建	135	405	161
-旧都	4	1	0
-暗箱	4	0	1
-杀机	4	15	90
-淘汰法	0	2	5
-漂白粉	2	0	2
-天生桥	23	11	12
-柜员	5	16	4
-托克托	8	4	0
-白棋	0	4	25
-医科	9	751	1
-暗算	3	5	2
-症结	1	4	2
-白棉	2	0	1
-旧部	1	1	0
-沙河市	23	2	0
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-适度从紧	1	0	0
-行色	1	3	3
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-标价	3	21	8
-你来我往	0	1	0
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-茅草屋	3	0	1
-盐度	5	13	3
-占用	11	66	8
-高教	20	88	0
-被盗	1	16	1
-盖州	21	1	1
-百灵鸟	8	2	2
-潜移默化	1	0	0
-白梨	5	5	15
-向心	17	5	0
-生物界	1	1	2
-奏鸣曲	2	74	95
-贴心人	0	3	2
-昂起	1	0	0
-电子表	3	0	0
-机枪	15	17	324
-圣达菲	2	1	1
-商业网	2	1	21
-机架	3	1	2
-后处理	1	12	0
-明明白白	44	10	2
-明说	0	5	1
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-启封	2	0	0
-及格	1	6	6
-捕捞业	0	1	2
-白梅	14	8	4
-发条	50	20	4
-枳壳	24	32	5
-闷闷不乐	0	0	1
-用量	0	9	6
-合情	2	2	0
-画轴	0	0	3
-取暖	4	12	15
-柜台	18	17	7
-皇权	12	11	2
-查勘	1	7	1
-原浆	9	16	2
-方阵	4	12	32
-高新	85	235	0
-盒带	0	1	1
-向往	11	13	3
-白桦	35	6	0
-元语言	2	10	0
-方队	0	0	3
-眼光	7	34	12
-衬纸	0	0	2
-机杼	2	0	6
-果实	16	47	138
-看场	1	0	0
-同性	12	7	3
-真品	1	13	0
-相好	0	1	4
-机构	75	1484	1673
-朽木	30	8	3
-凌海市	8	0	0
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-分数线	1	10	28
-来得及	1	4	4
-击鼓	12	9	7
-周口	121	28	1
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-服毒	0	2	0
-变故	1	0	0
-象形文字	2	3	6
-唯理论	0	2	1
-合影	7	3	4
-少林寺	74	39	25
-血色	182	48	3
-贵金属	58	170	13
-南瓜	1095	1041	391
-衙署	2	6	15
-刮风	2	1	0
-本校	1	0	1
-草本植物	0	3	5
-鞭毛藻	1	0	1
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-特大号	1	1	0
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-前锋	18	16	41
-来意	0	1	0
-流星雨	5	10	154
-发明	62	181	124
-卡玛	30	23	3
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-西宫	9	4	4
-木桩	3	4	3
-肯德基	24	6	4
-阳平关	4	0	1
-染发	11	9	3
-卷烟	36	128	18
-北极熊	33	17	20
-偏振光	6	3	4
-木桌	0	0	5
-皇族	8	8	11
-行之有效	0	2	0
-吼声	1	0	0
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-发旧	0	1	0
-吹奏	4	13	1
-木桥	5	42	6
-单瓣	12	2	0
-盛宴	6	57	125
-白朗	16	9	3
-柳俊	4	0	0
-请君入瓮	0	0	1
-杀敌	2	2	2
-狮子王	31	3	10
-小白菜	116	45	94
-十三辙	1	1	1
-旱路	0	0	1
-木框	4	1	0
-要害	0	5	5
-同庚	0	1	0
-和会	2	3	0
-叹惜	0	1	1
-登机	5	5	3
-口授	2	2	2
-西屋	7	9	1
-劝诱	1	0	0
-劝说	0	0	1
-立体式	6	0	0
-板床	1	0	2
-有法	7	1	0
-直奔	4	1	0
-蠕蠕	3	0	0
-原油	68	37	18
-机务段	0	3	20
-旧迹	0	6	1
-相声	36	92	35
-办证	0	3	0
-计量经济学	50	31	31
-铝矾土	5	0	2
-劝诫	3	2	1
-斑马	90	43	35
-名录	0	90	199
-练习曲	0	182	106
-晴纶	1	0	0
-真名	4	1	5
-同形	13	6	4
-忠肝义胆	0	0	1
-襟怀	2	1	0
-盲女	8	3	3
-湛江市	168	3	0
-末梢	6	2	0
-番禺市	3	3	0
-叙文	0	1	2
-友机	0	7	0
-申辩	0	2	5
-马熊	3	3	2
-电车	15	25	29
-木椅	1	4	8
-木棍	1	1	2
-服气	3	2	1
-练习本	0	28	17
-朵朵	20	67	27
-万花山	1	0	0
-木棉	46	17	15
-管理制	0	1	1
-阿尔派	4	2	0
-右手	23	195	25
-木棒	0	1	2
-甬道	0	0	2
-友朋	0	8	5
-白果	357	197	49
-瓷雕	2	1	1
-毛玻璃	5	1	0
-枪声	5	5	36
-白杨	81	40	17
-晕船	1	0	0
-杂文	12	90	36
-极左	2	0	0
-机智	15	37	5
-胃下垂	3	1	0
-沙里淘金	0	0	1
-权数	0	2	4
-变数	2	1	10
-木梳	11	5	16
-白条	32	20	7
-勤苦	1	0	0
-身心健康	3	15	5
-盘山	33	45	15
-西山	254	145	0
-本案	1	0	0
-民粹派	4	1	0
-馈赠	3	4	9
-林子	76	56	17
-本月	0	1	0
-无所不在	2	5	6
-晨练	4	3	6
-情报站	0	0	7
-末期	1	4	3
-机敏	16	17	2
-马球	5	16	7
-听差	1	1	0
-着力	1	1	0
-木板	20	21	8
-咖啡园	1	0	0
-可敬	1	1	2
-教龄	1	1	0
-十二属相	3	2	0
-阿尔法	166	43	15
-暗礁	2	7	5
-眉头	8	4	2
-斜面	15	6	4
-计算机房	0	1	0
-北美	239	67	4
-晃荡	1	1	3
-本末	7	24	46
-未来	525	907	581
-畅通	22	24	5
-行者	25	280	107
-本期	7	1	0
-木枕	1	1	2
-吊扇	0	1	6
-血腥	118	36	2
-周四	9	0	0
-新锐	49	94	0
-瘟疫	40	55	26
-投降主义	0	0	1
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-合成	218	511	194
-春蚕	14	4	1
-呼吁	1	4	2
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-呻吟	14	3	5
-规劝	0	0	1
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-畅达	3	12	0
-板岩	2	5	8
-马銮湾	2	1	0
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-柳井	11	3	0
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-电量	15	19	26
-枝头	4	14	6
-取样	16	123	40
-卧病	2	7	0
-呼吸	239	326	168
-木材	161	153	21
-更上一层楼	0	0	2
-黄明胶	1	0	0
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-触类旁通	1	3	2
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-古木	22	39	3
-合拍	1	1	2
-木栅	5	3	0
-呆子	6	0	4
-看好	6	7	0
-无边	28	38	28
-剖面	13	52	71
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-小石城	6	3	3
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-合拢	1	1	2
-木柱	0	1	0
-卡巴胂	2	0	0
-直尺	0	3	2
-名手	1	7	0
-口条	2	3	29
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-扰流板	0	0	1
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-青春期	98	121	26
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-呱嗒	2	0	4
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-直射	6	3	0
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-看头	1	1	0
-裂片	0	30	0
-无轨	11	1	0
-盛开	73	59	23
-西学	22	41	8
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-未果	0	0	1
-本条	5	0	0
-伊甸园	28	23	44
-等级分	1	0	2
-刺骨	6	4	6
-本来	3	12	4
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-要子	2	0	0
-同房	2	0	0
-西安	4602	727	92
-本村	3	2	37
-员外	4	42	35
-相宜	29	36	17
-地动仪	1	0	3
-白檀	3	1	1
-西宁	220	46	24
-行经	11	2	8
-削面	2	2	1
-悬崖勒马	2	0	0
-小本生意	0	0	1
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-日趋	0	1	0
-古方	25	27	3
-后患	0	2	0
-古斯	160	446	29
-瓶颈	10	14	20
-化纤	23	143	5
-受权	0	3	0
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-单相	62	14	0
-归纳法	0	1	22
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-助词	0	6	8
-要好	0	4	0
-高昂	1	1	2
-极富	0	1	1
-床头柜	1	0	0
-甲酚	6	40	29
-有机肥	17	24	18
-北纬	47	35	1
-活塞环	4	15	3
-枕套	0	0	1
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-少数民族	69	489	5
-皮损	0	1	3
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-高昌	41	9	7
-朱文	146	11	2
-高明	123	66	0
-无头案	0	0	1
-变更	19	65	39
-查体	2	5	2
-吞并	1	3	0
-秧歌剧	0	0	2
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-期权	75	107	147
-末日	288	137	123
-肠胃病	4	2	1
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-骨气	1	1	3
-同情	4	6	3
-星虫	6	3	8
-取材	2	4	0
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-模拟器	7	14	85
-文风	1	5	11
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-枕头	34	29	41
-动词	16	102	76
-衰竭	1	13	56
-暮生	1	0	1
-血肿	1	6	49
-呱呱	19	6	8
-古文	94	123	34
-功败垂成	2	0	1
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-呱唧	1	0	0
-朦朦	1	0	3
-厌烦	0	2	0
-时调	1	4	0
-文饰	3	2	0
-化缘	1	0	0
-松子糖	0	0	2
-征集组	0	0	1
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-来得	3	7	0
-艺术性	0	3	0
-千禧	80	58	4
-晶粒	4	16	8
-装点	5	2	1
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-发梢	0	0	2
-旷课	1	0	0
-疑虑	0	0	3
-新钞	0	0	1
-呼号	0	1	6
-加泰罗尼亚	20	9	0
-驾照	8	11	23
-行署	2	15	6
-蠓虫	0	0	1
-盛年	2	2	5
-北缘	0	8	0
-劣质	11	3	0
-古晋	4	1	0
-千秋	106	75	98
-省委	17	180	14
-大力士	15	11	6
-辛亥百年	3	0	0
-汉堡包	5	6	32
-人武部	0	1	3
-呼叫	69	121	24
-规划	83	8836	1215
-疫苗	26	69	210
-解乏	0	1	1
-同感	0	1	0
-古时	0	3	0
-血脉	15	22	17
-着凉	0	0	1
-剔除	2	9	2
-玛纳斯	32	2	0
-甲酸	31	265	130
-柳丝	1	10	15
-黑山共和国	2	0	0
-时评	2	16	11
-血脂	21	96	14
-皮掌	0	0	2
-田野	62	92	23
-单眼	11	3	3
-田里	1	7	1
-水上飞机	5	4	24
-古旧	6	9	0
-同意	5	69	5
-甲醇	55	31	89
-易行	10	14	3
-规则	48	451	1128
-眼前	8	18	4
-前面	3	11	9
-甲醚	4	23	86
-甲醛	60	118	142
-卧薪尝胆	2	0	3
-盲字	0	1	1
-早起	14	7	6
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-见外	0	4	0
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-曲比	2	0	0
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-变成	15	133	1
-威斯康星	31	5	1
-甘露	146	134	31
-集邮联	0	1	1
-人行横道	2	1	0
-瘫痪	7	20	45
-飞鹰	57	32	22
-果场	1	0	2
-同宗	1	4	0
-被窝	12	1	2
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-暗盒	1	0	3
-条幅	8	15	0
-旋转	335	250	31
-白钨矿	1	2	0
-受戒	2	0	1
-白虎团	1	2	1
-杀手	240	299	471
-台式	183	93	3
-瘰疬	12	5	2
-木料	0	2	1
-省属	4	17	0
-无赖	43	34	25
-受托	11	7	0
-县政	1	5	0
-销售员	14	32	16
-被窃	4	1	0
-复合词	0	4	1
-只怕	3	5	0
-杂技	28	97	23
-合山	14	11	3
-晋职	0	0	1
-发挥	4	44	26
-望望	0	0	1
-叙述体	1	0	0
-疥虫	2	0	1
-医生	80	604	418
-吐字	1	0	0
-医用	320	174	1
-编辑部	1	7	29
-烟袋锅	2	0	0
-自由职业者	1	2	2
-白水	159	68	0
-名家	577	1527	60
-花鸟画	28	189	28
-飞鸟	82	43	46
-命中	30	14	3
-独山子	17	12	0
-飞鸢	1	0	0
-衷肠	1	1	1
-国际货币基金组织	4	0	0
-名宿	1	0	0
-厮杀	0	1	5
-盛情	1	1	0
-后宫	102	83	144
-口惠	0	3	1
-望月	0	23	31
-叶序	3	0	4
-北普陀	3	1	0
-压缩疗法	0	0	1
-古意	15	3	6
-多难兴邦	4	0	0
-板子	4	5	7
-考古队	0	0	1
-来年	0	1	2
-报春花	6	1	7
-同居	40	84	0
-曲江	88	73	10
-同屋	4	0	2
-参政	2	16	5
-医疗	572	2483	71
-晚练	0	3	3
-留连	1	1	0
-祸从口出	0	0	1
-屈光度	1	0	0
-可心	2	11	18
-孟加拉虎	1	0	0
-紧迫感	2	0	2
-盛意	1	0	3
-刺针	4	5	5
-骑车人	1	0	0
-见好	1	1	0
-朝服	1	1	10
-升班	0	0	3
-眉宇	0	1	2
-松子	177	93	21
-名将	38	99	46
-口感	1	1	0
-直达车	1	0	5
-白汤	9	3	61
-旧貌	1	0	0
-魔力	236	119	49
-曲水	22	9	4
-参数	37	282	253
-相差	3	9	2
-春蕾	13	25	11
-失而复得	3	0	0
-电针	5	0	0
-监护	10	115	32
-板实	0	6	0
-发掘	21	91	10
-木星	32	26	11
-别集	0	25	18
-华玉	29	20	15
-半球	23	35	20
-期末	36	100	2
-日货	0	1	0
-瘴疠	1	0	0
-同岁	2	0	3
-补药	0	5	3
-本文	2	8	13
-雅司病	0	0	1
-期望	30	31	20
-杭州湾	30	25	1
-后尘	0	0	4
-看守	9	12	4
-曲沃	21	6	1
-枝城	5	5	0
-山西路	3	52	0
-骨朵	2	1	4
-吴茱萸	21	6	6
-白沟	33	8	1
-白沫	1	0	0
-工人党	0	5	16
-见天	4	3	3
-生鱼片	10	4	19
-各家	0	10	0
-枯叶	23	15	0
-痄腮	3	0	0
-管理人	10	9	15
-发懒	0	1	0
-反扒	2	2	0
-明虾	20	45	96
-反扑	0	2	5
-歼灭战	0	4	32
-无谓	4	2	4
-医理	5	5	3
-成套率	0	0	1
-余姚市	414	11	0
-暗疾	0	2	1
-台布	0	1	7
-宗教观	0	9	4
-反函数	3	0	2
-台币	0	0	2
-刹那间	0	1	1
-相对	269	134	10
-反手	19	1	4
-叫座	0	0	1
-口径	2	133	12
-望族	10	12	12
-双打	5	10	4
-文雅	17	7	23
-新野	32	9	5
-波司登	3	3	0
-剪贴	9	29	10
-文集	4	698	1600
-饰词	1	0	0
-杂感	0	4	7
-旁边	2	12	2
-隔音室	0	0	1
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-骄横	1	0	0
-朝日	34	41	6
-日记	28	677	1273
-原样	1	2	0
-菜子油	0	0	2
-生物碱	4	2	8
-初雪	9	14	3
-林地	33	62	14
-关帝庙	7	8	80
-袜筒	0	1	0
-要得	1	0	0
-木螺钉	2	0	9
-宜春市	81	10	0
-调节费	0	0	1
-反抗	19	20	17
-春菇	0	1	1
-评论家	0	13	2
-机房	40	69	61
-香港站	1	0	2
-历次	1	14	0
-生长	84	261	75
-删除	7	13	8
-机手	0	3	0
-卓然	6	2	20
-西德	62	63	15
-清蒸鱼	13	1	11
-体育法	4	6	2
-痛经	34	27	10
-闻喜县	10	1	0
-分馏	4	9	3
-发扬	3	3	6
-裁定书	0	0	4
-日语	609	1454	233
-畏途	0	0	1
-桑白皮	17	7	0
-双簧管	6	4	3
-台座	1	5	2
-合家	11	12	0
-吉安	355	60	33
-瘦瘠	2	0	0
-葡萄牙语	10	11	10
-文静	7	5	55
-创面	4	11	0
-吉它	2	8	4
-双拥	8	17	1
-吵嘴	1	1	0
-晴空	29	6	17
-吊孝	0	0	5
-朔望	4	0	1
-林场	7	27	545
-召开	0	31	5
-合宜	1	4	0
-驼毛	0	0	1
-南达科他州	1	1	0
-来不及	22	4	0
-原案	0	0	1
-盛怒	1	0	0
-半截子	1	0	0
-高悬	3	0	2
-视域	3	122	26
-双拐	0	1	0
-辩论会	0	0	7
-触及	3	6	1
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-杀戮	85	62	65
-旅途	31	27	45
-更正	4	7	3
-朗朗	13	14	8
-补色	10	0	5
-发报	1	0	1
-电子论	0	0	1
-疾苦	0	1	1
-触发	20	37	13
-只得	0	1	0
-匪盗	0	0	1
-象牙之塔	1	0	1
-寄人篱下	1	0	0
-巴伦西亚	15	3	11
-指导价	0	6	5
-名字	10	98	62
-辅导员	7	60	14
-发抖	0	0	2
-甘霖	8	7	14
-省察	0	2	2
-左云县	0	1	0
-同学	50	88	59
-督促	1	9	0
-文革	17	16	32
-疟蚊	0	0	1
-朝晖	13	34	91
-向阳镇	2	1	1
-甘雨	12	0	7
-古怪	29	33	5
-纳斯达克	15	2	4
-告发	3	0	0
-果园	44	59	74
-旧诗	1	3	4
-高息	7	2	0
-风度翩翩	1	0	0
-瘟神	3	5	4
-卡片	62	134	133
-行营	0	4	11
-可意	3	1	0
-宗派主义	0	0	1
-反攻	10	26	31
-直径	4	27	52
-裂痕	5	1	18
-新郎	18	79	28
-蠹虫	0	2	11
-月月	16	20	9
-考茨基	2	0	2
-杏干	6	4	5
-新邵	14	2	1
-基本粒子	2	0	1
-眉峰	3	2	4
-珞巴族	8	2	1
-有望	0	0	11
-一不做	2	0	0
-双数	3	0	0
-有期	0	2	0
-味儿	0	26	9
-西式	187	46	0
-月末	3	2	0
-板壁	3	4	0
-新郑	52	22	2
-几内亚	24	37	11
-昆虫	227	291	124
-呐喊	20	32	64
-核桃树	10	8	1
-吹塑	13	22	1
-省市	1	12	0
-数额	1	3	5
-相当	10	11	3
-运动学	6	14	11
-有机	568	591	3
-和乐	22	17	9
-村庄	35	89	124
-电门	0	0	1
-分布图	0	7	27
-双料	11	7	0
-电闪	3	4	1
-条岛	0	2	0
-袖章	2	0	0
-装甲	117	607	67
-眼圈	2	11	4
-高招	2	27	0
-新都	128	78	38
-杏仁酥	10	7	9
-甜食	5	5	3
-吊带	6	7	20
-及早	2	4	0
-纤维蛋白	15	22	4
-装机容量	0	0	2
-食物链	8	3	17
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-合并	50	124	51
-高挑	4	0	0
-朗斯	15	64	7
-双方	11	7	5
-燃气轮机	45	23	31
-及时	14	14	11
-枪口	11	7	3
-北极狐	2	1	0
-住宅区	1	16	7
-言传	0	1	1
-各异	1	1	0
-可憎	0	0	1
-木排	3	0	3
-朱批	1	3	0
-反方	0	0	1
-发放	3	63	4
-袖箭	0	0	1
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-各式	0	1	0
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-勾结	0	4	3
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-显耀	0	0	10
-叹息	11	6	18
-心连心	8	10	6
-电热器	0	9	2
-晋级	3	21	5
-和亲	7	10	5
-春茶	4	26	11
-省府	2	6	1
-呜呼	3	0	1
-视图	5	26	51
-电阻	86	303	136
-枫叶	71	101	14
-哈巴狗	0	0	2
-盗掘	3	3	0
-拜伦多	1	0	0
-君山	36	50	38
-后市	2	1	2
-发散	14	10	17
-情报网	0	0	9
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-无论	6	2	3
-吊床	0	0	1
-皮棉	2	0	0
-历朝历代	1	2	0
-触动	18	17	1
-架势	2	0	1
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-极大	12	17	0
-双星	48	140	61
-杯子	10	33	12
-见地	0	2	2
-朝政	0	3	5
-马灯	6	6	9
-发文	3	6	6
-灭绝人性	1	0	0
-同年	13	19	9
-晋绥	16	7	1
-呜咽	1	1	0
-痘苗	1	0	0
-东交民巷	7	5	1
-甜香	9	6	0
-春药	0	0	1
-制革	16	20	0
-反映	7	15	11
-剪切力	0	0	1
-合建	1	7	3
-防撬门	0	2	0
-博爱	47	195	5
-亚欧大陆桥	0	5	4
-最最	7	14	0
-看家	5	3	2
-既得利益	2	1	0
-流星锤	1	0	5
-月桂树	3	6	1
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-条子	7	4	0
-有时	13	15	9
-命令	61	96	107
-可怕	94	48	0
-周六	16	1	1
-名山	42	38	36
-魏县	35	6	4
-千瓦	2	2	0
-保安器	0	0	3
-南特	31	31	14
-电钮	0	2	0
-周全	27	7	7
-历法	5	15	39
-紧身衣	0	0	4
-包米	4	1	1
-坏主意	0	0	1
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-外包装	1	2	3
-向导	13	79	86
-餐饮	240	846	27
-受挫	0	1	0
-新近	7	2	0
-无言	32	10	0
-激光器	4	11	103
-电铃	0	2	3
-单独	39	19	0
-白洋	20	12	1
-盖房	2	1	1
-西师	4	0	0
-轻轻松松	86	13	0
-监事会	3	13	5
-目录	30	178	295
-沙市区	3	0	1
-电钻	2	2	11
-申银	6	7	0
-史志	18	57	5
-收麦	1	0	0
-行草	20	146	7
-高手	50	583	582
-福利性	2	0	0
-后山	29	29	0
-餐馆	42	53	47
-疏解	3	3	7
-飞龙	154	140	94
-装璜	1	22	0
-晶石	7	29	51
-销售商	0	2	0
-螺钉	12	31	104
-族谱	3	13	14
-各州	0	4	0
-骨架	23	36	43
-呕吐	16	5	19
-月晕	11	1	0
-北空	3	1	0
-骄气	0	1	0
-官本位	1	1	1
-博物	20	47	11
-某个	2	9	0
-新开河	5	3	0
-视唱	40	78	6
-本戏	0	2	3
-电铸	5	3	1
-各市	0	1	0
-解冻	11	15	9
-相干	26	29	3
-睾丸	56	37	6
-杂役	0	0	3
-剪辑	6	46	18
-可恶	9	3	0
-补考	1	1	0
-咖啡吧	0	1	2
-日见	0	3	1
-受损	5	7	8
-解决	36	625	42
-种子公司	0	0	11
-文锦	10	11	29
-司徒	149	34	8
-呋喃	53	62	42
-协理	0	3	3
-养蜂场	0	0	3
-君子	145	100	63
-眉山	111	38	7
-软环境	1	5	5
-不甘寂寞	1	0	1
-山东梆子	0	7	0
-西平	102	34	37
-变换	18	148	153
-瓦斯炉	0	1	0
-社会民主党	0	6	1
-解剖	34	231	50
-相应	12	21	27
-松塔	11	10	2
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-造山运动	0	0	2
-电键	0	1	0
-向山	7	1	0
-督军	9	7	0
-暴烈	8	4	1
-病菌	7	11	30
-旦角	0	4	3
-战斗舰	0	1	5
-果品	41	79	6
-电镀	144	141	41
-电镐	0	0	1
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-北站	5	49	207
-可悲	1	0	2
-吱声	0	0	1
-电镜	3	12	6
-某些	0	16	0
-立体声	10	22	10
-田间	29	21	1
-教科书	8	185	118
-邯郸学步	1	0	0
-华瑞	37	111	8
-粗脂肪	1	1	0
-电视网	0	5	34
-口才	84	451	123
-来客	6	16	53
-周到	3	2	1
-君安	11	58	10
-可惜	12	2	5
-呖呖	1	0	0
-杂志	41	131	1158
-高扬	7	2	8
-灭火弹	0	0	5
-先来后到	0	0	1
-春色	31	42	34
-区直	5	10	0
-口技	5	2	2
-某人	0	2	4
-首要	9	11	1
-吉川	41	9	1
-田东县	12	0	1
-春节	50	131	39
-高抗	8	3	0
-新邮	11	2	0
-本报	1	5	0
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-监控	81	697	197
-旗语	0	1	3
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-极权	5	2	0
-除草机	2	0	0
-枪手	15	59	86
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-前身	4	4	5
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-建筑群	2	10	90
-史实	2	18	5
-饭馆	0	1	8
-自大狂	0	0	1
-盘旋	6	3	4
-饱餐	1	0	0
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-癔病	9	1	2
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-百灵	63	69	121
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-吡啶	28	268	298
-少林拳	11	2	7
-觉察	3	5	2
-光电子	39	179	6
-管理学	215	481	0
-领导层	0	1	0
-饮食	222	989	148
-油椰子	1	0	0
-吸力	3	3	5
-名城	28	156	145
-台子	20	159	0
-发式	1	17	4
-高波	13	7	4
-病虫	5	63	4
-面包屑	6	0	1
-氙气灯	0	1	5
-卖淫	4	21	0
-扩展槽	1	0	0
-卤水	98	36	30
-陌生人	16	39	83
-分隔	17	9	0
-眠山	1	4	3
-饭食	1	0	1
-化疗	5	23	15
-总成绩	0	1	1
-机器人学	8	3	1
-切除	4	179	8
-南涧	17	13	1
-压条	2	2	8
-霞浦县	21	2	0
-呆傻	1	1	0
-口岸	23	145	172
-桌上	32	17	2
-听取	0	7	0
-有用	10	24	0
-校医	0	16	1
-桥儿沟	1	0	0
-新干线	19	44	70
-厂桥	1	1	0
-有生	2	3	0
-电子部	0	6	1
-发廊	8	6	0
-木然	1	1	3
-分院	2	20	9
-十年一剑	1	0	2
-灯光师	0	0	1
-古山	21	25	1
-加拿大	679	138	34
-反弹	11	9	28
-时限	4	13	11
-跨越性	2	0	0
-杨楼	7	8	2
-南海	331	592	48
-华源	31	132	5
-后坐	2	6	0
-县情	0	2	0
-柜子	2	0	0
-压服	0	0	1
-癌症	147	102	42
-说不清	0	1	0
-桃仙	4	10	1
-馆长	0	7	7
-分阴	0	1	2
-饥饿	116	25	10
-暗花	5	71	0
-南浦	40	33	3
-吝啬	9	1	0
-火花塞	1	4	10
-益智	217	790	11
-反败为胜	2	4	3
-村民	43	192	8
-联合王国	1	1	3
-用餐	4	13	3
-骨牌	12	21	7
-画集	0	67	202
-吟唱	5	10	16
-文具店	0	0	4
-银环蛇	3	3	0
-北电	4	9	0
-显赫	1	1	0
-省心	5	11	3
-管状花	3	0	0
-需要量	0	1	4
-绥棱县	5	0	0
-校勘	4	24	5
-返老还童	4	4	2
-立体图	1	1	5
-桃仁	123	98	50
-本命年	2	0	2
-皓洁	0	0	1
-商业街	2	25	100
-言和	1	1	1
-取巧	1	2	1
-旱秧田	1	0	0
-刁难	1	0	0
-分队	0	4	11
-高汤	34	18	35
-行规	0	0	3
-显贵	1	2	11
-衣蛾	0	0	1
-柚子	109	63	12
-滕州市	188	17	0
-爆破手	2	0	3
-高法	1	3	3
-制造	124	5920	352
-时间	608	879	811
-只字	2	0	1
-无题	36	9	7
-暗色	55	10	0
-卢比	12	20	11
-直感	5	2	5
-校务	3	4	0
-裨益	1	0	0
-视察	1	32	1
-相悖	0	0	1
-校办	2	14	0
-暖色	10	1	0
-凹面	2	1	1
-无须	10	16	0
-贵德县	4	0	0
-英雄汉	0	1	4
-杨森	16	6	4
-巴尔干	32	6	6
-金属探伤	1	0	0
-割裂	3	2	0
-勒索	8	15	9
-木炭	17	22	1
-全国人大	0	10	0
-古寺	7	27	154
-南洋	206	179	8
-历来	0	0	1
-后园	4	2	0
-画院	7	36	129
-平山县	28	1	2
-莒南县	107	11	0
-凸面	1	3	0
-厮打	0	0	1
-反应	152	415	1094
-跨越式	6	19	0
-真容	2	0	1
-名团	2	0	1
-生产费	0	0	1
-前贤	0	1	1
-有意无意	2	0	0
-盆景	32	99	147
-痛苦	44	52	25
-刹车	46	43	21
-包皮	24	24	5
-字正腔圆	0	0	1
-早霜	0	0	2
-真实	218	372	36
-松明	7	2	16
-畅销	10	103	1
-阿科松博	1	0	0
-春运	13	40	9
-吞咽	6	6	2
-清真寺	6	24	1419
-双座	7	34	0
-启动	88	190	91
-曲直	5	1	1
-活血化瘀	2	4	0
-发布	11	284	25
-旺销	0	1	0
-吟咏	1	1	1
-隔音板	0	1	3
-曲目	2	42	6
-规范性	9	128	0
-危楼	3	2	4
-吗啡	5	16	10
-皎洁	2	0	2
-大批量	0	2	0
-南沙	103	67	3
-会员卡	2	2	5
-暗自	1	0	0
-月琴	3	4	31
-鬼怪	23	33	8
-桃李杯	0	2	0
-柱基	0	3	0
-相思	128	167	0
-松日	5	4	0
-句子	5	26	23
-反常	22	7	4
-杨梅	178	67	111
-有理	13	10	0
-桂东	28	8	8
-规定	14	528	3857
-架式	0	32	2
-褐煤	9	1	4
-紫红色	2	0	0
-石英表	1	3	0
-观察	50	297	204
-潜江市	38	5	0
-超音速	31	71	2
-口实	0	4	1
-华润	159	96	2
-卯榫	1	0	0
-校刊	0	1	2
-号头	2	0	2
-板斧	0	1	6
-白滨	6	2	1
-保安员	8	2	1
-骨骼肌	12	3	0
-树叶	25	16	47
-青春片	0	0	1
-校准	15	60	23
-眨巴	0	1	0
-务虚	4	0	1
-可巧	0	1	0
-临床学	0	40	5
-口形	2	3	0
-赣榆县	54	10	0
-高潮	15	15	31
-句式	1	19	15
-后娘	2	0	3
-畅顺	0	1	0
-剂量	22	51	49
-杨桃	55	30	18
-茅草房	2	3	0
-咖啡店	11	11	40
-杯杯	2	2	0
-饽饽	3	9	29
-猪鬃草	0	0	1
-管理处	0	7	173
-误报率	0	0	1
-双手	25	18	0
-会员制	6	3	1
-亚非拉	0	2	1
-朱漆	20	47	0
-章回体	2	2	0
-驻站	2	0	0
-白狐	12	1	3
-毛收入	0	0	2
-月球	174	98	60
-台州	481	65	3
-亲朋好友	1	0	0
-宿舍区	0	1	1
-衰落	9	30	47
-接触面	0	0	5
-古建	17	28	6
-校内	36	13	4
-越棉寮	0	11	0
-取悦	0	1	0
-看得起	0	2	0
-化石	80	157	195
-核仁	29	3	5
-杨柳	201	70	19
-杂沓	1	0	1
-柔嫩	1	5	0
-界面	54	150	67
-柑子	12	2	7
-盛服	1	1	0
-相接	1	2	10
-出马	2	1	9
-松散	10	7	5
-晚装	0	10	4
-别针	0	0	4
-杨树	175	39	8
-原来	163	158	9
-金科玉律	2	0	7
-行装	0	2	1
-查处	3	70	0
-利钱	0	2	1
-泼陂河镇	1	0	0
-运动场	5	2	39
-取息	0	1	1
-参拜	3	0	0
-数来宝	0	0	1
-娃娃生	1	0	0
-卢湾	25	40	1
-原型机	1	1	1
-发愁	0	1	1
-试电笔	0	0	1
-柔媚	0	4	0
-日隆	2	5	2
-五十八	0	1	0
-畏难	1	0	0
-印油	0	0	7
-原有	1	7	1
-变性	44	76	91
-加藤	144	1	3
-生鲜	16	16	2
-江苏省	2100	120	0
-时针	1	8	2
-同姓	6	5	1
-包租	3	0	2
-动力学	24	362	322
-周代	28	11	0
-面包干	0	1	2
-蟾酥	5	7	0
-时钟	56	63	79
-压榨	4	17	1
-发愤	3	4	1
-盖板	4	17	8
-切题	1	0	0
-割让	0	1	1
-印泥	1	9	9
-无非	6	1	0
-测距器	0	0	3
-湖州市	110	10	0
-原木	12	9	5
-原本	8	18	10
-总指挥	0	8	1
-农艺学	1	0	1
-前途	4	30	19
-星辰	86	83	98
-蠢货	3	1	0
-条桌	0	0	8
-襄樊	272	35	2
-样书	0	0	1
-直捷	6	1	0
-舞台剧	0	12	15
-发情	2	0	2
-叛徒	7	8	9
-纪念碑	8	33	524
-相持	1	0	6
-沙沟村	0	0	20
-三色堇	8	0	4
-座右铭	0	2	16
-沉住气	6	0	0
-前边	2	1	0
-盛暑	1	0	0
-应用题	6	99	11
-加薪	7	17	10
-眸子	1	1	3
-闹洞房	1	0	1
-包票	0	1	0
-复杂性	36	60	29
-魔怪	10	18	16
-电饭煲	43	13	13
-副词	3	21	0
-早间	5	0	0
-南澳	49	26	0
-后妈	6	2	9
-解困	2	7	0
-后妃	9	27	8
-无需	9	6	0
-吼叫	1	6	0
-去掉	1	0	0
-前进	92	149	72
-吻合	3	26	4
-周五	7	4	1
-解围	1	1	4
-变态	87	242	33
-直接	381	268	2
-周二	4	2	3
-千人一面	0	0	1
-告别	98	73	37
-晋见	1	0	0
-有机磷	16	13	1
-前轮	8	3	0
-杀气	5	0	1
-厚望	1	1	0
-黑墨水	0	0	1
-标号	0	2	12
-厦新	5	2	0
-结婚证	2	1	5
-匾牌	0	0	1
-石门县	27	7	0
-吹台	1	0	1
-集成电路	90	305	53
-瞄准	33	97	9
-后天	32	16	4
-前辈	4	13	4
-厚朴	33	32	15
-枪弹	8	3	103
-杜梨	2	0	0
-吹号	3	1	1
-旧闻	5	20	16
-华灯	5	4	0
-简易房	0	1	1
-公使馆	0	5	1
-后头	11	6	2
-列队	1	1	1
-画风	4	8	6
-变心	3	3	1
-本溪	152	18	1
-暹粒	1	0	0
-盛景	17	25	19
-本源	10	17	20
-匀称	1	2	0
-皮毛	6	13	6
-石门口	2	0	0
-解嘲	0	0	1
-吸吮	3	9	0
-新鲜	69	60	3
-首长	6	38	7
-杨村	48	17	70
-花样翻新	0	1	0
-相投	0	1	10
-面包店	6	2	16
-画页	0	0	1
-名声	13	5	3
-晋西	12	3	1
-台山	70	122	46
-取得	4	17	10
-裘皮	2	17	2
-变形	463	334	90
-直指	3	8	0
-吧嗒	3	2	1
-模拟式	7	1	0
-本港	0	1	1
-参战	6	4	2
-航运法	1	1	0
-劳苦	0	1	0
-内涵式	1	0	0
-设计者	2	1	4
-古巴	139	34	13
-吸取	2	2	3
-界限	6	51	68
-国防军	6	34	10
-栓剂	6	11	8
-非政府	18	26	0
-相抵	0	8	3
-周三	15	5	0
-史展	0	0	1
-角美镇	1	0	2
-机油	26	11	11
-盘锦市	58	1	0
-白熊	10	21	0
-南漳	19	3	0
-更生	12	10	0
-后备	22	57	2
-贝尔莫潘	2	0	0
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-日间	7	11	0
-朔城区	14	0	0
-核电机组	0	1	0
-雪龙号	3	0	0
-高深	4	3	0
-直拉	2	0	0
-加蓬	24	5	5
-相扑	16	8	8
-直拍	6	1	0
-合奏	1	25	7
-月牙	58	37	0
-吭哧	2	0	0
-友情	39	53	32
-直拨	1	1	2
-台属	1	2	0
-发怒	4	2	2
-无限	461	259	0
-同声	21	31	6
-昌都	65	26	0
-反悔	1	1	0
-古川	24	5	2
-血衣	5	3	4
-名士	7	34	6
-比例表	0	1	0
-无际	5	4	9
-却步	1	0	0
-寸有所长	0	0	3
-旅馆	14	183	545
-旋风	119	129	86
-淮南市	235	12	0
-吞噬	34	51	11
-译制片	1	4	0
-铁氧体	9	8	16
-白热	2	0	0
-南湾	35	24	7
-高温	439	524	2
-长话短说	1	0	0
-势能	7	3	12
-叶子	75	57	62
-晶莹	22	15	19
-杠杠	0	0	1
-杀死	76	30	2
-盆栽	22	36	23
-变异	79	83	67
-华澳	7	9	0
-博湖	3	1	2
-漫天要价	1	0	0
-剧评	0	0	1
-号子	2	3	0
-切面	3	4	14
-条条	4	0	0
-万能论	0	0	3
-咖啡屋	3	5	29
-树冠	3	6	1
-田鳖	0	0	1
-印本	0	3	4
-果心	2	0	0
-出乎意料	1	0	1
-口头	44	57	0
-期满	0	3	0
-相斥	1	0	0
-觉悟	17	13	10
-初速	1	0	0
-后台	16	18	0
-摩擦力	0	3	8
-日银	1	2	0
-未名湖	7	6	2
-真情	87	112	41
-马耳他	51	6	3
-甲鱼	55	111	245
-华欣	7	21	3
-无关紧要	1	0	0
-加盟店	0	2	2
-顶天立地	2	2	0
-名号	4	14	0
-初选	1	0	1
-刘邦	72	30	23
-同名	26	139	8
-联立方程	2	0	0
-云顶岩	1	0	0
-勾画	2	0	0
-生产观	0	0	1
-包围圈	0	1	5
-吃喝	8	19	0
-北爱	10	1	1
-升汞	1	0	0
-双层	89	70	5
-杠杆	66	55	38
-秀才人情	1	0	0
-高楼	48	37	14
-保守党	2	1	9
-另外	5	11	0
-危机	218	1013	656
-西楚	13	5	0
-血迹	9	1	7
-昏迷	13	8	22
-曲线图	0	1	6
-反射	114	188	174
-反对	41	36	7
-淮北市	144	8	0
-真意	1	5	8
-埃克森	10	5	2
-纪念章	0	12	78
-观感	1	1	0
-刘少奇	34	13	11
-今生今世	10	0	10
-青石板	1	0	0
-小四轮	1	0	0
-大扫除	1	1	13
-来日	5	0	0
-名厨	24	24	5
-本法	0	14	44
-人文科学	12	35	1
-双安	11	12	4
-新高	19	15	4
-必然性	1	2	2
-来时	0	6	0
-木浦	6	6	0
-古墓	98	193	85
-演讲者	0	0	1
-孟山都	4	1	0
-高阳县	9	0	0
-装置	9	483	1684
-超预算	0	2	0
-板报	7	44	9
-显要	1	0	0
-净高	0	0	6
-构成	41	243	224
-双学	1	0	0
-后卫	2	8	13
-合同	274	795	547
-双子	112	78	37
-行踪	2	1	7
-白班	1	0	1
-木浆	5	1	14
-摄谱仪	0	0	15
-瞳仁	2	1	1
-名古	1	1	0
-略阳	25	6	0
-剪刀差	0	0	1
-勋章	6	70	229
-半死	5	0	0
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-宰牲节	0	1	2
-斗鸡	24	16	27
-行路	13	20	8
-内流河	1	0	0
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-饭铺	0	0	1
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-创造	215	475	107
-明达	14	58	32
-同台	1	2	0
-末流	1	2	1
-三环路	0	0	5
-丁腈橡胶	5	5	10
-饭锅	1	0	1
-枣庄	241	36	3
-无锡	1863	305	5
-显见	2	1	0
-原意	1	2	3
-调节阀	6	15	359
-馆里	0	1	0
-化合物	6	96	219
-前言	2	0	0
-即景	2	7	17
-胖头鱼	3	3	14
-暗绿	14	3	0
-绿园区	0	4	1
-旅顺	55	8	1
-台地	6	12	29
-书画集	0	1	46
-角度	34	102	52
-行距	0	0	3
-厕所	41	42	49
-神经错乱	0	0	1
-功罪	1	2	1
-旷野	20	4	12
-高棉	15	8	0
-青春痘	10	2	6
-叉子	5	1	9
-会员国	0	0	1
-皴法	0	1	1
-剥蚀	5	7	5
-里外里	1	0	0
-斑鸠	47	45	35
-古堡	39	70	128
-高检	3	2	0
-正当中	0	1	1
-栗子园	3	3	0
-海相沉积	4	0	0
-相撞	1	60	3
-要案	1	14	3
-逍遥派	1	0	0
-松扣	0	1	0
-空地导弹	0	1	47
-名匠	10	13	0
-前襟	1	0	0
-白玉	549	372	78
-陌生化	2	2	2
-杏树	29	3	5
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-同化	24	16	22
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-眉批	0	12	1
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-金戈铁马	8	2	4
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-看报	0	2	1
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-磴口县	7	0	0
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-吕剧	1	3	2
-名医	130	239	17
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-馥郁	3	1	2
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-月月红	2	1	3
-放下	5	1	0
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-外国籍	1	3	0
-推翻	2	1	0
-招风	8	0	1
-金属陶瓷	4	7	1
-免疫性	16	36	1
-掣肘	1	0	2
-相位	54	76	20
-超出	2	0	0
-疗程	0	0	1
-驱动器	4	10	42
-讨论	5	81	32
-改作	0	1	1
-贵客	1	6	1
-白带	47	17	9
-扶绥县	6	1	0
-相似	47	48	9
-走味	1	2	0
-轻工业	11	201	3
-谷穗	1	3	0
-保密性	0	1	0
-聚居区	0	4	5
-郓城县	25	5	0
-相伴	10	20	0
-城头	14	8	3
-大司马	10	5	0
-鬼蜮	6	3	1
-场次	0	2	1
-盗匪	3	1	2
-拍马	2	0	1
-起名	21	81	14
-相传	2	14	16
-超前	32	24	2
-洪水猛兽	0	1	3
-政事	5	8	3
-相会	6	11	30
-越冬	10	9	0
-白布	8	3	0
-跌宕起伏	1	1	0
-拱门	5	3	14
-趁势	1	0	0
-独立营	0	1	4
-图版	2	33	5
-换血	0	0	3
-易如反掌	1	0	2
-城外	15	11	2
-图片	71	163	104
-趣事	0	20	46
-圆锥曲线	2	0	1
-相仿	3	1	0
-招领	1	7	4
-负心	5	4	1
-放假	2	22	3
-贺岁	11	42	0
-按钮	8	18	50
-连环计	6	0	2
-忠诚度	2	4	7
-讲课	1	21	2
-土气	2	1	1
-乌塌菜	6	0	3
-白宫	54	29	20
-趋势	67	325	181
-按铃	0	0	1
-让贤	0	2	2
-目下	2	0	0
-酒精灯	1	0	2
-收入	86	376	208
-敌人	5	31	72
-电荷	33	35	24
-埃塞	62	15	0
-揭示	11	45	3
-生产能力	4	18	18
-登封	84	25	5
-圣殿	38	31	66
-诬蔑	0	1	0
-东海路	3	1	0
-支前	1	5	2
-收兵	1	0	2
-画苑	2	5	19
-高邑	36	3	0
-赃官	2	0	1
-识见	0	1	0
-骆驼	148	103	44
-火树银花	0	1	0
-足下	6	4	1
-型式	4	38	19
-普宁寺	1	3	1
-圆满	14	37	17
-调色	10	33	4
-骤雨	8	0	9
-拔高	0	6	0
-趴下	0	0	6
-摆渡	18	18	5
-圆滑	1	2	2
-调节	74	414	193
-警长	11	71	22
-支出	18	108	146
-讷讷	0	0	1
-避难所	0	4	14
-留给	8	39	0
-谱系	7	23	25
-疥疮	8	4	3
-购并	5	6	4
-禽流感	18	35	11
-放债	0	1	0
-化痰药	0	0	2
-延伸度	0	0	1
-疤痕	29	49	31
-极乐世界	1	3	4
-挺身	4	2	2
-谢绝	4	1	0
-效仿	0	0	1
-培养	460	1340	265
-红细胞	79	58	26
-认购	14	15	11
-高远	21	10	8
-支农	4	22	2
-认账	0	0	3
-秋收起义	13	3	31
-虚情假意	1	0	0
-鲁山	48	29	11
-警铃	0	0	7
-越剧	34	44	2
-画船	0	4	2
-画舫	2	8	5
-堂倌	0	0	1
-留级	7	6	1
-起哄	1	0	1
-指针	35	26	40
-盈利	29	83	16
-未知量	0	2	0
-费尽	2	0	0
-故伎	0	0	2
-词表	0	6	0
-白字	4	1	0
-云消雾散	0	1	0
-城运会	0	0	3
-鸡蛋黄	7	6	1
-埃斯特角	1	0	0
-胁从犯	0	0	1
-白嫩	3	19	0
-明尼苏达州	1	1	0
-讲论	0	1	1
-高速	435	785	449
-豆科	6	3	2
-豆种	1	0	1
-友谊赛	0	1	6
-中宣部	11	5	0
-讲讲	1	3	1
-插管	2	15	4
-证言	1	5	8
-故人	10	42	39
-仪器厂	0	3	88
-越加	0	1	0
-域名	99	77	140
-鲜奶	158	90	48
-讲评	0	12	15
-提篮	10	5	8
-关税区	0	0	1
-四环	8	27	2
-讲话	1	97	85
-皇姑	15	11	4
-劳动权	2	0	0
-贤弟	0	0	1
-小题大做	3	3	1
-摊派	1	3	1
-搜狐	68	5	0
-彩色电视	5	18	1
-进出境	18	26	0
-神经末梢	2	0	5
-挂锁	0	0	3
-疮痂	3	22	0
-生产量	0	0	14
-皮囊	15	8	5
-艺委会	0	1	0
-越发	1	2	1
-招魂	12	3	7
-谢罪	1	0	2
-谷糠	3	2	0
-症状	19	116	81
-金海湖	7	1	1
-收割	17	23	6
-骏马	20	51	31
-放养	10	10	3
-近卫军	4	4	11
-魏茨	2	4	0
-疯病	0	0	6
-政党	41	101	46
-捐资	2	2	0
-魔芋	115	135	99
-南京大屠杀	34	12	3
-盛典	8	44	114
-皇室	48	71	5
-设计	788	21593	6954
-挺进	17	32	1
-贸工	0	2	0
-资山	0	4	2
-多来咪	0	1	2
-赌客	1	0	0
-播报	3	6	19
-攻关	1	48	7
-白银市	62	6	0
-堀内	6	0	0
-赤壁	137	131	24
-登岸	0	4	3
-机械人	3	9	13
-堂兄	1	1	2
-撒旦	84	27	11
-贪心	9	4	2
-揭秘	97	230	422
-救人	6	13	9
-监制	0	2	4
-型心	0	1	3
-劳动日	1	0	0
-甜蜜	266	111	28
-鲜嫩	20	12	1
-土法	15	2	6
-费工	0	1	0
-改写	7	6	0
-城垣	1	9	10
-敖东	8	19	1
-拾零	3	3	22
-收到	4	2	0
-骑马	84	69	17
-疮疤	0	1	1
-可逆反应	0	0	1
-射洪县	16	4	0
-地球仪	2	15	27
-不必要	0	1	0
-趋向	9	22	6
-沃尔特河	0	0	1
-趋同	11	21	9
-慰安妇	3	6	2
-皇子	10	22	23
-挥金如土	0	0	1
-疥癣	3	3	1
-三从四德	0	0	1
-撩拨	1	2	0
-叽叽喳喳	1	0	0
-鬓角	3	0	0
-贤德	2	3	22
-科学报	0	3	1
-登山	41	89	30
-试行	2	974	537
-鱼市	5	3	4
-按键	24	23	7
-匿名信	2	0	1
-越南	434	106	26
-示波管	0	0	1
-谋臣	3	5	2
-监利	22	3	0
-疫病	8	114	120
-谷粒	8	2	0
-攻克	47	136	6
-救亡	6	9	0
-摇滚	183	126	127
-议购	1	1	0
-函授大学	0	3	9
-圣水	38	18	10
-增白剂	0	14	10
-现身说法	0	2	2
-自欺欺人	0	1	1
-讹诈	1	1	1
-固然	0	0	3
-垫子	0	0	3
-合理合法	0	1	0
-金湖县	26	4	0
-财产险	0	0	2
-讹误	0	0	1
-基准	82	122	55
-圣母	116	164	67
-唯物史观	11	10	0
-贵州	1480	270	28
-收养	11	28	4
-论证	12	81	62
-超导电性	0	1	0
-许诺	4	4	5
-盂县	48	9	1
-国家机关	8	64	1
-助动词	0	3	6
-土池	2	1	0
-论说	3	6	7
-抹黑	5	2	1
-记账	33	76	21
-盐分	4	5	0
-随州市	56	4	0
-杀虫剂	3	7	28
-旅游部	0	0	1
-超员	0	1	1
-论语	292	161	174
-赋存	0	10	0
-购建	0	1	0
-分离器	0	6	97
-舞蹈家	0	83	9
-城址	3	11	205
-贫弱	1	0	0
-让路	8	6	0
-中耳炎	3	2	23
-诸葛	213	36	13
-高难	3	3	0
-疗养院	1	13	73
-挂面	7	11	39
-骷髅	174	83	51
-高雄	126	28	5
-高雅	29	17	5
-唯物辩证法	5	2	0
-练习生	0	2	1
-碾米机	0	0	2
-推荐	21	490	31
-锦绣江山	1	0	1
-放到	0	1	0
-平行线	11	3	12
-描红	10	429	142
-骸骨	11	6	10
-垄断	59	158	52
-试航	0	1	0
-蛔虫病	0	0	13
-支取	1	1	2
-赠别	25	6	14
-放刁	2	0	1
-土燕	1	0	0
-瓶装	12	8	0
-基坑	22	25	1
-警车	13	25	18
-不求甚解	1	0	0
-赌咒	3	0	0
-赠券	0	1	0
-操心	2	5	4
-盛世	358	473	100
-生菜	162	135	136
-基址	2	4	7
-挂靠	6	11	10
-提纲	6	12	32
-教会	35	89	84
-外经外贸	0	2	0
-攻势	3	17	35
-的士	23	4	7
-赦免	4	4	4
-描绘	12	23	4
-甘蔗	159	67	22
-骶骨	5	2	1
-祁东县	12	0	0
-回程	10	3	1
-疯狂	1663	439	221
-电气石	44	4	14
-界线	3	28	98
-搬迁户	0	1	0
-视网膜	69	73	2
-阶梯形	1	3	0
-甘蓝	79	142	101
-咖啡杯	3	0	4
-高院	2	1	0
-盛举	0	0	3
-田舍	10	3	3
-参赛者	0	0	1
-高陵	25	14	6
-提纯	4	4	9
-村主任	0	1	3
-陈庄乡	0	2	2
-杀人罪	0	0	7
-起价	0	0	1
-教书	4	27	6
-皇城	59	61	19
-挑错	1	0	0
-接茬	1	0	0
-贵国	1	3	4
-攻击	50	383	229
-防盗门	4	10	14
-搔痒	0	1	1
-皮匠	9	9	6
-基团	6	2	19
-生药	13	15	2
-摧毁	45	21	5
-白皮书	0	23	89
-起伏	7	4	18
-雷公山	9	0	0
-赵体	9	9	0
-基因	469	485	471
-揭穿	6	1	0
-财大	1	7	1
-责备	2	6	1
-贤士	3	2	2
-改判	1	0	0
-攫取	2	1	0
-回礼	0	0	2
-摧残	0	1	1
-泰兴市	96	6	0
-改则	6	0	0
-挽辞	0	0	1
-教主	4	26	57
-附庸国	1	0	0
-改制	6	55	26
-赛前	4	5	0
-不动产业	0	2	0
-坏死	29	95	78
-皮包	6	20	8
-高阳	84	20	7
-不择手段	3	1	0
-芝罘区	2	7	1
-普通机	0	1	0
-教义	3	16	7
-捐赠	3	88	6
-含金量	0	1	1
-走俏	0	3	0
-重安江	1	0	0
-基地	46	498	1806
-江珧柱	2	2	0
-电能	118	170	9
-百大	25	43	0
-无污染	9	1	0
-鳏夫	1	1	0
-放出	4	0	0
-马里兰州	3	2	0
-围盘	1	0	0
-诉苦	1	1	1
-电脑	1313	2401	382
-拼音	66	377	220
-赡养	8	5	3
-赴任	0	6	4
-甜菜	70	77	14
-起亚	35	8	3
-白天	34	14	8
-谈笑	12	5	1
-培土	13	2	3
-畏缩	1	1	1
-收听	5	15	2
-囚笼	3	0	3
-痔漏	6	2	0
-社会制度	2	2	0
-疙瘩	20	113	104
-食品厂	2	3	108
-坚毅	4	4	20
-改变	401	778	81
-吉星高照	3	0	0
-落花流水	3	0	0
-摊点	0	2	1
-盛传	4	3	1
-电船	0	0	1
-地热	99	138	0
-指纹图	0	0	1
-盛会	2	10	15
-金小丑	1	0	0
-囤积	5	1	1
-地点	8	14	2
-甘薯	104	36	15
-超人	226	326	235
-攸县	49	9	0
-攻占	10	4	0
-播撒	1	1	3
-超产	2	0	1
-让行	1	0	3
-皇天	13	8	3
-欢蹦乱跳	1	0	0
-政协	48	166	68
-赚取	3	2	0
-甲苯	41	169	138
-八面风	0	0	1
-散件	0	2	2
-疟疾	16	12	5
-改名	2	17	6
-畏罪	2	0	0
-坑洞	1	2	1
-费城	64	13	5
-疼爱	3	1	2
-攻取	1	9	1
-贪心不足	1	0	0
-城市	2819	6147	677
-电讯社	0	0	5
-侵略军	0	1	1
-挣钱	3	13	4
-同床异梦	1	0	1
-申花	10	33	1
-皇妃	9	42	84
-天文台	5	48	133
-贮备	1	3	3
-政区	1	31	8
-科学性	1	5	4
-产销率	0	0	1
-混合泳	1	0	1
-杂交稻	1	3	1
-改口	2	1	0
-敌军	2	5	2
-授衔	1	5	1
-甘蕉	2	0	0
-聚居地	0	1	0
-经济效益	6	18	21
-小题大作	0	2	1
-诵经	3	4	1
-普遍性	5	3	3
-盟主	2	9	6
-隆回县	12	3	1
-地火	4	2	0
-赣剧	0	1	1
-二环路	0	5	8
-超乎	4	3	0
-福利费	0	1	3
-盛产	0	2	0
-赫兹	19	25	5
-盛事	0	7	3
-百姓	233	243	13
-满江红	106	5	5
-谢礼	7	0	3
-盗伐	2	1	0
-豆瓣	160	89	37
-土牛	12	7	3
-五花肉	198	62	331
-青瓦台	4	1	1
-疯狗	15	0	0
-比不上	0	2	0
-垂暮	2	0	1
-搭理	0	1	0
-一技之长	0	6	0
-贪多	2	0	0
-饱经沧桑	0	0	1
-赛区	0	4	4
-反贪局	4	2	0
-杂交种	0	4	1
-石嘴山	31	10	0
-敢于	6	6	0
-收口	2	7	1
-散乱	3	2	3
-收取	1	22	0
-尼日尔	27	6	0
-马自达	44	10	3
-根瘤菌	4	2	2
-圣父	0	2	0
-握紧	6	1	0
-收发	2	33	2
-上下级	0	2	0
-捐躯	6	2	2
-公伯峡	1	1	0
-病灶	3	5	4
-赢利	6	85	9
-用药	18	591	175
-限定词	1	0	0
-百威	9	8	5
-地炉	0	1	0
-政务	46	461	25
-赞助	11	15	3
-不好意思	2	1	0
-无穷小	5	0	5
-瑙鲁	11	0	0
-金寨县	94	3	0
-皮具	14	208	46
-疆界	1	7	12
-起兵	1	3	3
-嗓音	14	9	1
-赤县	1	0	1
-贵妃	94	66	107
-话茬	1	0	0
-警醒	4	1	0
-财富	388	927	207
-国球	4	1	9
-电网	161	431	82
-捏造	1	1	0
-掩蔽	3	6	3
-特种部队	34	62	111
-搭界	0	0	1
-贵妇	15	12	15
-富贵病	2	3	4
-环状软骨	2	0	0
-日月星辰	4	0	0
-光绪帝	0	1	1
-白垩	22	9	0
-甘苦	3	0	1
-贪婪	56	6	6
-盈亏	17	13	13
-群众性	3	13	0
-撰文	0	1	0
-画纸	0	0	3
-登基	3	2	5
-贝尔	430	858	489
-留有余地	0	2	1
-仿真器	0	1	28
-数九	2	2	1
-地温	10	7	3
-译著	0	3	0
-财宝	9	16	24
-三点水	1	1	0
-瑞香	12	16	67
-龙须草	0	4	2
-赣县	103	4	0
-国色天香	5	2	5
-起先	0	0	2
-白城	68	12	3
-煤矸石	12	6	0
-排行	0	4	12
-达喀尔	7	6	0
-撺掇	0	0	1
-搪瓷	28	41	4
-回眸	38	37	59
-大道理	0	72	76
-赣南	97	21	2
-坯料	0	1	3
-登场	1	8	21
-甚至	1	1	0
-赞叹	2	0	2
-散伙	1	1	0
-有机物	14	11	12
-敬业	33	51	18
-趋于	3	1	0
-赞同	1	1	0
-电线	61	267	33
-国王	160	254	156
-喜鹊	37	36	15
-播放	6	45	10
-红十字	24	136	2
-半身不遂	1	0	3
-贝宁	29	8	6
-夜明珠	4	3	5
-救兵	2	4	8
-搬运工	0	3	14
-走兽	3	17	9
-请缨	1	1	6
-白地	56	90	2
-说胡话	0	0	1
-象牙	148	115	15
-散体	6	4	8
-效力	11	34	30
-效劳	0	0	2
-海底捞月	1	0	0
-法西斯	13	41	4
-玩忽职守	1	0	0
-电缆	171	1071	326
-山桐子	2	0	3
-政变	0	8	68
-试药	1	4	1
-政发	0	1	0
-维生素	282	333	50
-记要	0	1	0
-番禺	211	219	1
-盈余	18	32	14
-总编辑	2	0	2
-词藻	1	0	1
-吝啬鬼	4	1	4
-圆珠	2	1	0
-电耗	2	1	6
-瓦解	8	8	10
-百花争艳	2	0	1
-电联	2	34	0
-必不可少	0	5	0
-圣火	19	41	22
-坦桑	7	3	1
-专一性	0	1	5
-贮存	10	17	6
-圣灵	59	22	6
-甲肝	5	1	0
-火凤凰	10	10	10
-圆球	14	8	3
-避难权	0	0	1
-疵点	2	1	0
-南澳县	8	0	0
-走卒	0	0	3
-堵住	1	4	0
-监事	3	15	1
-操持	0	0	1
-农民战争	0	2	15
-数位	40	29	5
-塔里木河	10	4	1
-长白山	171	49	4
-保守派	1	3	3
-整人	9	7	4
-军事科学	5	5	2
-林科院	1	0	2
-败将	1	2	1
-起初	0	1	0
-国画	114	244	0
-超高产	0	6	0
-地漏	1	1	0
-盐井	24	9	3
-败局	0	16	9
-囚禁	3	6	4
-敌友	0	2	0
-国界	2	42	11
-织布鸟	3	0	6
-贪官	16	17	5
-挑食	3	8	4
-图画	34	543	17
-化学元素	16	6	3
-敦促	1	0	0
-赎回	13	19	13
-播映	1	1	0
-火药桶	1	0	0
-贩子	0	2	10
-整一	0	1	0
-走势	2	40	11
-行李车	1	0	3
-敬仰	1	1	0
-生产队	0	0	2
-季风雨	1	1	0
-甘草	139	154	32
-贡山	64	25	7
-生色	3	3	3
-教具	1	19	17
-供排水	1	9	0
-整个	7	18	0
-豆蔻年华	1	0	1
-田联	3	6	1
-赠品	3	13	4
-土灶	0	1	1
-一场春梦	1	0	1
-赌场	20	22	39
-故友	1	2	4
-读者	112	84	42
-豪爽	0	1	1
-春分点	0	0	2
-骨骼	24	61	15
-中转站	0	1	13
-越位	10	5	8
-赝品	3	4	3
-掩藏	0	1	0
-盐业	8	613	3
-克莱斯勒	28	9	7
-教养	20	135	15
-土炕	1	0	0
-埠头	4	10	4
-敬佩	0	1	3
-正定县	8	4	0
-连阴雨	1	1	0
-救助	20	349	35
-白塔	74	59	65
-土炮	2	0	0
-龙泉驿	6	1	0
-走动	3	2	0
-大都市	18	35	10
-贵姓	0	0	3
-吻合器	2	0	1
-敌区	0	0	1
-骨髓	60	59	29
-改善	50	120	21
-质子	50	36	1
-病源	1	14	1
-电话机	10	10	44
-政绩观	0	1	0
-新野县	36	0	1
-散兵	7	0	0
-斑马线	3	1	16
-圆梦	43	54	10
-越境	5	8	1
-混合物	1	8	24
-眼中	14	274	2
-生辰	6	9	3
-负数	4	2	2
-国槐	12	1	6
-课表	0	3	0
-电话本	0	2	1
-收回	8	19	8
-教务	6	14	0
-隔河岩	3	2	0
-土方	26	10	2
-敖包	16	27	8
-科学家	58	247	70
-擒拿	11	35	9
-场所	13	161	44
-髑髅	4	1	5
-申购	8	13	21
-画谱	0	56	56
-整体	177	259	4
-洪泽湖	19	5	0
-赤峰	278	49	4
-敌后	20	32	6
-眼下	1	1	0
-换车	2	0	0
-红河谷	6	5	6
-超声	190	380	21
-散光	11	5	7
-生辉	0	5	0
-看台	3	2	6
-诡诈	0	0	1
-货摊	0	0	2
-跃入	1	2	0
-回流	22	31	8
-效命	1	0	0
-五脏六腑	3	2	1
-竹叶青	10	13	9
-拓荒者	5	3	9
-诡谲	3	2	1
-田赛	2	3	0
-国家机器	0	0	2
-敌台	0	0	1
-坐待	0	1	0
-超标准	1	1	0
-画说	122	25	2
-垮台	0	1	0
-田赋	3	3	3
-财政	332	1013	39
-圆桌	19	18	15
-画语	5	5	9
-成武县	22	2	0
-自然科学	83	156	4
-超大	24	21	0
-整修	2	1	1
-捕风捉影	1	0	0
-白族	58	75	2
-韶关市	130	9	0
-白旗	7	11	5
-起子	2	0	0
-土星	47	15	11
-圈椅	1	0	16
-绿头巾	0	1	1
-生造	2	3	0
-贴换	0	18	0
-痹症	0	2	4
-提花	20	27	5
-评述	0	16	35
-诗趣	0	3	1
-监守	1	1	0
-制成品	0	2	1
-痰盂	0	0	2
-坎儿井	1	5	0
-撒欢	2	1	0
-墨西哥城	8	5	0
-数值	110	235	8
-上蔡县	18	2	0
-鱼松	9	11	21
-法属圭亚那	3	0	0
-收场	0	0	1
-海百合	5	8	0
-双喜临门	0	0	1
-白斑	81	22	40
-盒子	41	69	190
-气鼓鼓	1	0	0
-话费	9	1	9
-详谈	1	1	0
-电费	9	3	9
-白文	59	5	4
-科学学	6	25	1
-四清	9	2	28
-岐山县	13	1	0
-生还	4	12	9
-赣州	333	42	3
-随笔集	0	6	32
-老来俏	0	0	1
-排解	2	10	2
-象素	2	2	0
-摸清	1	0	0
-赴宴	2	2	4
-痴痴	3	0	2
-葫芦岛市	204	1	0
-皮影	7	38	64
-悉尼市	1	0	0
-线路工	0	4	4
-评选	3	157	53
-毒理学	8	41	53
-挥霍	5	5	1
-土族	18	25	1
-白萝卜	172	93	51
-指骨	4	4	2
-喜钱	0	1	0
-一气呵成	1	1	0
-城内	4	16	0
-龙须菜	12	0	25
-杀人犯	3	3	9
-文丑	3	2	3
-乌兰浩特	14	3	0
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-城关	67	336	8
-坡度	11	11	28
-鳞屑	3	0	0
-改型	1	4	2
-文丛	1	127	66
-盘子	8	7	11
-授课	4	24	1
-坦帕	9	4	0
-攻坚	7	18	11
-画质	1	0	0
-高高	6	16	4
-面包片	0	0	6
-哲学系	0	4	7
-金溪县	16	2	0
-痼疾	0	1	1
-难言之隐	0	2	0
-救命	42	28	7
-白昼	22	9	3
-起家	2	1	3
-电路	337	1053	415
-跌入	1	0	0
-贤明	2	4	29
-检查仪	0	1	50
-监察	17	612	34
-木本植物	3	5	1
-跪下	0	0	1
-坚强	25	33	59
-劳动局	0	1	6
-盖子	3	1	4
-圣旨	7	13	6
-用车	5	59	0
-质料	0	2	0
-散剂	0	4	17
-南水北调	52	22	1
-白日	32	23	12
-四川省	2068	96	1
-质数	10	2	19
-教区	1	11	363
-回游	1	0	0
-地摊	13	6	0
-诺言	6	10	26
-跃动	5	2	2
-科西嘉	22	2	1
-插花	55	79	48
-围歼	3	16	0
-人定胜天	0	0	3
-北斗星	39	21	10
-地支	15	6	0
-千依百顺	1	0	0
-救国会	2	0	3
-登月	2	0	0
-用途	1	197	17
-突变论	0	0	3
-起居	13	25	0
-国歌	4	7	44
-语调	0	13	11
-土木	89	182	6
-政坛	13	22	2
-食品城	0	4	12
-度德量力	0	1	0
-瘦煤	0	1	1
-误诊	1	31	0
-体育场	13	51	348
-掀起	6	19	0
-留言	8	23	16
-语词	10	310	2
-挡风	7	5	0
-撕毁	1	0	0
-撒气	0	1	0
-产业界	1	0	0
-误认	1	0	1
-盗寇	1	0	0
-高谈阔论	0	0	1
-跃升	5	3	0
-导游图	0	0	6
-放在	0	21	0
-推行	3	58	2
-坚忍	0	6	4
-撬棍	1	0	1
-文书	41	463	132
-谷草	4	7	5
-认错	2	8	2
-甜酒	18	16	21
-路上	15	125	94
-重金属	71	39	5
-兔儿爷	2	0	3
-盘存	8	8	2
-豆腐	821	2372	3088
-负有	1	1	0
-文中	1	0	0
-亚美尼亚共和国	1	0	0
-强买强卖	1	0	0
-回溯	8	6	1
-凌源市	13	0	0
-猩猩草	0	0	1
-妇女病	6	6	2
-杀人狂	2	14	24
-教友	0	4	0
-省区	0	23	0
-图板	0	42	0
-乾	529	654	490
-扫黄打非	4	2	0
-临深履薄	0	0	1
-乳	620	2221	635
-故国	9	6	2
-乱	393	763	538
-高音	13	17	2
-买	464	922	114
-构造地震	0	0	1
-城乡	174	878	93
-痤疮	21	16	27
-垦区	3	16	12
-围棋	234	353	45
-看出	1	5	0
-乩	5	13	3
-书	913	11137	6912
-线粒体	31	9	1
-文件	175	760	399
-故园	13	8	21
-习	932	703	209
-乡	282	3021	14400
-聚氨酯	160	197	12
-乜	39	21	4
-也	116	1625	660
-安之若素	1	0	2
-乙	752	2839	141
-乘	256	1314	224
-敦化	42	13	3
-层压板	0	3	16
-专业性	3	5	0
-乔	3581	1597	497
-乖	149	86	85
-试车	3	11	17
-乐	2791	7306	1920
-故土	3	6	3
-文传	8	8	19
-乓	0	15	1
-乒	2	36	2
-整党	1	1	0
-乌	3532	3448	411
-髂骨	0	2	0
-乍	64	165	15
-探视	2	1	0
-乎	6	143	75
-乏	55	27	58
-休养所	0	1	11
-么	155	510	57
-引蛇出洞	0	0	1
-义	676	3398	2944
-鬼话	5	2	10
-之	106	55565	2185
-坎市	5	0	1
-手到擒来	1	0	1
-久	601	1573	583
-瘴气	3	0	0
-国税局	1	7	57
-乇	3	9	2
-生趣	0	4	0
-乃	165	1653	302
-监外	2	3	0
-主	652	1526	984
-为	1098	5482	468
-痢疾	17	10	19
-回流率	0	0	1
-文人	59	137	26
-丹	2386	3029	2612
-丸	172	1020	5936
-举	241	490	724
-丽	1235	10010	2026
-串	262	385	360
-相同	5	13	17
-城东	32	124	3
-丰	1484	5536	939
-教员	0	7	3
-临	1394	1549	307
-个	625	1455	52
-丫	161	400	50
-中	10674	28094	6679
-丢	95	168	20
-城中	35	74	2
-丧	193	150	145
-调解	24	170	28
-垃圾	180	356	61
-严	2126	572	195
-负极	3	3	0
-值班室	0	2	0
-丙	471	2070	66
-谅解	1	13	3
-丘	1285	1202	345
-单精度	2	0	0
-丛	493	725	176
-业	186	11474	2088
-丝	654	5776	3861
-东	6941	12286	3861
-丑	283	246	102
-丐	38	22	35
-专	254	2913	174
-安阳市	276	8	0
-赢得	12	24	0
-冶炼炉	1	0	3
-丕	55	345	52
-三热爱	0	1	1
-复合材料	45	244	95
-且	120	148	63
-世	1096	9492	2550
-丈	56	98	78
-上	6385	13038	1414
-下	4100	7770	2949
-不	4622	13853	100
-说话	101	611	83
-与	1345	112655	143
-丁	4905	5079	2389
-财权	1	2	1
-件	5	1007	819
-图标	12	23	20
-价	65	457	393
-雨量器	0	0	2
-仵	43	5	3
-仲	589	2394	446
-仳	5	0	0
-仰	194	304	94
-仿	329	340	71
-世风日下	1	0	0
-说谎	28	35	29
-份	6	207	64
-痨病	1	0	2
-任	3560	827	398
-说说	13	20	5
-教唆	0	3	1
-保定市	208	8	0
-以	1138	2875	47
-令	270	1257	1103
-散发	15	7	9
-代	1020	2815	473
-敲击	13	3	1
-坐席	2	1	3
-擦拭	4	19	0
-们	5	514	651
-仪	231	1164	7517
-白描	34	67	7
-仔	77	1456	819
-仕	103	2115	345
-放大器	5	40	114
-他	454	1502	240
-仗	35	66	106
-坨子	4	20	10
-申诉	7	38	9
-仑	27	526	187
-高频	226	344	7
-仓	405	1110	476
-仝	109	15	15
-仞	3	23	28
-敦厚	5	0	15
-付	1200	395	181
-仙	2206	4295	1470
-仅	13	20	11
-鱼肝油	10	7	12
-高领	4	1	2
-订阅	2	12	9
-生龙活虎	2	0	0
-仇	412	125	146
-故垒	2	0	2
-仆	85	120	106
-图样	9	16	0
-仁	726	5598	2825
-诵读	14	196	48
-病程	2	0	0
-仃	0	22	10
-仂	3	5	42
-仍	34	53	22
-护目镜	0	1	6
-坟山	7	10	1
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-喉镜	0	3	5
-路人	12	17	42
-从	2395	4672	259
-仉	21	10	5
-疏肝	29	25	2
-接触	134	305	129
-介	225	708	659
-今	371	583	272
-亲	900	1447	429
-亳	25	12	9
-故址	0	2	29
-人	2175	18399	10219
-盗墓	144	49	5
-因此	3	4	0
-赤心	5	3	6
-收复	10	19	0
-看到	15	38	2
-亢	154	74	49
-账本	1	2	6
-亡	233	224	184
-故地	1	2	4
-产	432	1046	367
-正安县	131	68	0
-科学奖	0	18	24
-亦	205	863	46
-老古董	3	1	0
-自上而下	7	0	0
-交	700	1006	279
-文明戏	1	0	1
-在押	1	4	0
-享	130	397	144
-亩	15	90	41
-亨	816	1318	414
-高额	2	7	0
-亮	428	1312	2404
-亭	173	2173	2069
-京	1512	2618	669
-跑动	1	0	1
-擒敌	1	5	2
-云	3913	9470	4709
-互	203	328	36
-谦虚	6	4	0
-亓	105	5	3
-货机	0	1	4
-井	682	2915	1015
-国标	33	26	23
-生路	1	4	12
-接见	0	3	1
-亚	3971	17262	3628
-些	10	84	22
-埋伏	7	12	11
-亟	8	9	14
-撒泼	3	0	1
-形形色色	8	6	1
-文体	20	244	22
-了	180	2929	1823
-争	199	512	357
-予	50	243	184
-盐池县	20	0	0
-请调	1	0	0
-事	185	1581	2119
-国树	0	1	11
-整军	2	1	2
-数列	8	11	0
-亍	0	4	2
-亏	52	43	79
-于	4205	1724	110
-佬	14	154	117
-盆子	0	29	12
-电话	232	276	241
-申谢	0	1	0
-佩	1120	3465	659
-皮帽	0	2	2
-赤忱	0	0	1
-质朴	3	3	0
-佤	19	28	3
-佥	30	19	12
-佧	1	3	1
-安塔拉	4	0	0
-你	2567	10188	2464
-佣	55	62	41
-挨饿	2	0	1
-使	214	972	576
-佾	7	6	14
-佻	28	1	9
-通脱木	2	0	1
-美不胜收	2	0	0
-诗选	0	79	321
-佴	14	2	4
-佶	10	69	28
-白搭	1	0	4
-超导	105	64	3
-佳	950	5528	1027
-低	1274	1016	48
-实话实说	8	2	6
-住	178	638	182
-豆花	45	89	100
-位	247	1568	728
-广安门	11	40	0
-颗粒剂	0	1	70
-坡岸	0	0	1
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-但	172	87	10
-佃	30	99	33
-贵方	1	0	4
-佟	433	27	12
-贵族	97	164	88
-作	409	2963	848
-相电压	0	4	3
-佛	1305	2282	630
-坑底	1	1	0
-佚	39	29	58
-桦南县	12	1	0
-干鲜果	0	1	0
-佘	331	55	1
-放声	4	2	0
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-赶巧	2	0	0
-原料药	0	6	16
-过去时	0	0	4
-髋骨	2	0	0
-何	7496	663	121
-年增长率	1	0	0
-体	411	3504	2520
-国棉	1	3	0
-佐	652	1731	499
-豆芽	193	218	216
-回水	8	8	3
-伪	464	360	92
-伫	19	7	21
-真假	86	52	4
-伯	1133	6737	902
-传	375	4668	4874
-田谷	3	2	0
-资源税	8	8	0
-伤	363	553	511
-伦	319	5253	2124
-伧	10	1	9
-伸	73	320	114
-盖头	2	7	5
-走廊	10	36	103
-似	247	581	68
-电讯	8	71	34
-估	42	143	44
-图案	56	357	117
-伴	197	426	132
-用费	0	1	2
-髌骨	12	6	0
-豆苗	85	53	79
-伊	5211	6705	1260
-新思维	114	101	0
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-货架	8	157	102
-伉	25	5	20
-伎	13	66	52
-跪倒	0	1	0
-伏	729	1100	268
-显微镜	34	59	209
-盅子	1	0	0
-伍	300	42	50
-捷达	17	24	3
-申请	21	295	43
-故城	20	99	154
-企	194	714	51
-读读	3	11	3
-贷方	2	1	0
-甚低频	5	3	0
-敌国	5	3	12
-伛	13	3	5
-会	1247	5522	4616
-伙	44	84	62
-优	1854	5569	296
-伟	247	3539	3350
-皮带	38	57	20
-伞	134	378	502
-文保	3	0	9
-休	343	435	225
-伐	100	315	126
-众	768	1796	321
-俦	19	10	60
-救国	8	73	4
-信	1016	6542	2008
-俣	2	27	11
-贪杯	2	0	2
-俭	69	114	382
-跳伞	14	12	25
-城信	2	3	0
-俯	69	29	13
-修	1006	3607	1082
-俪	38	160	39
-诞辰	1	138	5
-议长	0	1	6
-走开	2	2	20
-眉县	33	4	0
-俱	42	213	11
-货柜	2	12	3
-总工程师	0	5	3
-俳	30	8	7
-豪绅	1	0	1
-坯子	0	0	1
-俾	62	32	6
-俸	63	26	43
-斗争	8	109	96
-灭菌奶	0	0	1
-画论	1	13	10
-俺	47	25	5
-俅	17	9	6
-土改	1	7	1
-俄	512	703	35
-双绞线	8	6	16
-二项式	3	2	0
-四海	122	128	68
-促	203	170	58
-登攀	1	0	6
-俏	137	358	62
-俎	24	19	67
-小娘子	2	0	6
-俊	145	3473	2230
-购机	0	2	3
-集体化	1	5	2
-俗	166	202	414
-副食品	2	39	1
-谎言	46	68	161
-手提式	40	13	0
-俐	12	115	127
-俑	1	26	293
-俞	1612	156	91
-俟	20	27	18
-俜	1	5	4
-保	2056	3906	1016
-海蜇皮	7	3	23
-俘	21	18	16
-诽谤	6	2	5
-侠	162	1321	1080
-番薯	85	91	39
-搁置	3	0	1
-课课	42	204	0
-侧	446	533	72
-侦	32	107	29
-货栈	0	3	6
-侩	3	4	14
-皮带机	5	2	4
-侨	252	420	78
-侪	2	6	20
-侬	46	140	113
-侯	3109	1443	572
-侮	25	10	45
-盛夏	42	9	8
-豆荚	11	9	10
-八仙桌	0	1	3
-侵	125	70	47
-费时	0	1	0
-嘴脸	0	0	1
-贸易	210	5740	323
-便	222	594	159
-放大	40	139	23
-侃	20	102	144
-风疹块	1	0	1
-在握	0	21	5
-团市委	0	0	2
-例	59	345	570
-盛大	92	100	0
-侈	76	7	50
-诡辩	5	0	2
-侍	189	296	105
-侑	23	35	26
-货样	1	0	1
-侗	39	59	36
-侔	2	7	12
-圆柱	68	137	12
-起床	8	7	0
-供	160	374	125
-消防站	0	2	2
-依	996	2083	395
-评论	12	368	385
-赌局	1	4	14
-贺年	7	5	1
-英戈尔施塔特	1	0	0
-贡献率	0	3	18
-贪恋	3	3	0
-脱胎换骨	3	5	2
-基价	0	1	5
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-认输	0	1	9
-绥芬河市	14	0	0
-孕激素	1	1	1
-排泄物	3	1	2
-起因	1	3	1
-地权	6	7	1
-支子	4	0	0
-相切	1	1	1
-斜井	8	1	3
-无恶不作	0	0	1
-贤惠	0	0	2
-山核桃	15	14	22
-结核菌素	5	0	2
-科学城	4	11	10
-政委	0	2	5
-赘婿	2	0	0
-生计	5	6	2
-专业户	8	1	6
-皮子	7	12	16
-堂主	1	2	8
-男装	25	46	79
-场景	18	180	30
-证词	0	0	3
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-盐场	15	15	73
-鼠标键	3	3	0
-说不得	1	0	0
-明朗朗	0	0	1
-访谈	9	78	90
-共产党	13	318	115
-赶回	2	1	0
-地板	65	191	0
-挨骂	1	0	0
-畸胎	4	15	3
-堂上	11	5	1
-探访	11	21	8
-敬告	2	0	0
-民意测验	0	2	1
-朗诵会	0	1	1
-痔疮	44	55	14
-东海道	8	0	0
-痒痒	8	13	5
-计较	5	9	9
-生意经	4	11	47
-盐土	6	1	11
-地极	4	1	3
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-购得	2	3	0
-塞弗勒	0	1	0
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-豆类	32	26	1
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-相加	7	2	2
-看做	1	0	0
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-四爷	2	2	5
-改嫁	1	3	0
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-够朋友	1	0	0
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-盲区	2	3	7
-搜索	90	294	311
-探询	1	5	6
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-盐城	399	58	3
-坚持	44	55	18
-真主	6	2	2
-支局	0	0	1
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-凡尔赛宫	8	1	6
-整取	0	5	2
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-痘疮	10	9	0
-噩耗	0	0	1
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-地标	10	27	20
-接诊	0	2	0
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-多晶硅	21	7	4
-八佰伴	0	4	1
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-真书	4	16	1
-鱼池	11	9	9
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-电视	571	2877	367
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-囚犯	5	12	12
-推让	0	1	0
-地核	7	1	0
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-整合	112	412	0
-捞钱	1	0	0
-推论	1	0	7
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-诈语	0	0	1
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-地梨	1	0	1
-撤消	1	3	1
-鱼水	15	5	0
-洛克希德	15	1	1
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-筑巢引凤	1	0	0
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-痛痹	1	1	0
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-一往情深	1	0	4
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-半制品	0	0	1
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-糖果店	1	0	9
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-先进村	0	0	2
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-省力	3	5	0
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-爱滋病	0	2	1
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-赛宝	6	6	2
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-盟国	2	7	0
-肠绒毛	1	0	2
-毛茸茸	4	9	1
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-鱼油	9	70	24
-词话	3	40	31
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-负担	4	76	27
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-冷处理	0	0	3
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-遵化市	19	3	0
-杂志社	0	17	358
-地政	0	6	0
-楚汉之争	0	0	1
-诈败	1	0	0
-性格学	0	1	2
-省份	1	5	1
-用血	0	5	1
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-盘古	104	48	6
-计量	128	756	92
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-水磨石	10	12	2
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-半边天	6	3	4
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-兴业县	5	0	0
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-嗍	0	3	1
-喵	51	44	46
-喷	384	1013	56
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-喱	4	30	73
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-喳	6	18	11
-四月	61	33	10
-喽	2	32	17
-坝址	2	2	0
-喾	2	14	2
-喻	586	145	141
-喧	69	12	42
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-财产	116	287	71
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-喔	39	69	18
-擂主	0	0	1
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-白云	351	397	34
-喟	6	4	6
-接点	0	36	8
-喝	83	179	66
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-喜	1294	2714	1382
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-喙	69	289	43
-喘	51	304	66
-喇	41	195	42
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-善	575	2477	1180
-喂	86	146	14
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-喀	354	365	19
-后备军	1	1	3
-喁	7	4	8
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-地峡	2	1	12
-喏	2	14	12
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-喊	44	48	12
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-喈	1	5	18
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-喉	157	771	102
-啸	100	355	146
-啻	3	6	4
-团日	1	0	1
-啼	37	104	62
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-啾	18	28	20
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-啵	12	27	4
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-啷	4	6	7
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-啭	3	4	11
-啬	20	15	26
-抽象	81	53	11
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-啡	4	53	20
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-啥	16	43	16
-啧	3	0	1
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-啐	9	2	3
-啖	26	17	16
-甲癣	0	0	5
-啕	3	4	7
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-唷	1	3	3
-红双喜	7	5	0
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-售	69	189	66
-拐角	10	7	3
-唪	2	1	1
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-唛	17	37	20
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-唐	7351	2577	366
-唑	25	835	426
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-法兰西共和国	4	4	0
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-团旗	2	2	4
-唉	13	4	2
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-哦	37	39	30
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-哥	523	1331	876
-哪	84	150	20
-哨	80	293	92
-哩	13	491	58
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-哺	26	47	37
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-哿	2	8	3
-哽	15	4	9
-哼	10	9	5
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-品	592	2354	920
-哂	4	12	13
-哄	30	19	51
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-哈	4040	6049	374
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-响	358	362	209
-哎	28	6	4
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-哒	16	59	26
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-哜	5	1	5
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-哞	1	4	3
-咦	2	7	1
-咧	7	25	17
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-咬	106	186	34
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-咱	73	93	7
-咽	152	203	69
-咻	9	14	12
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-咸	574	578	104
-咂	11	14	9
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-和	2368	27665	2585
-坐堂	4	5	1
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-咋	21	20	11
-咕	36	94	26
-咔	75	109	22
-咐	0	15	3
-回旋	43	50	18
-咒	69	199	424
-固执	4	1	4
-咝	4	23	0
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-咙	4	7	4
-咛	1	5	16
-咚	6	22	10
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-人去楼空	1	0	0
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-呸	9	1	3
-呼	408	307	163
-命	235	1202	801
-呲	7	2	1
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-味	260	2384	421
-计算	211	1180	468
-呶	5	7	12
-呷	28	34	25
-呵	69	43	39
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-呈	113	376	93
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-告	166	173	151
-呀	41	141	62
-呃	8	10	11
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-卷吸作用	0	0	1
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-呆	144	146	66
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-员	111	899	783
-呙	17	5	2
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-呛	66	26	8
-呜	38	48	15
-在岗	2	3	2
-呐	9	36	42
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-呔	2	5	3
-呕	46	22	19
-呗	11	26	34
-启	659	3284	596
-吮	45	23	6
-吭	11	26	19
-听	657	1359	362
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-含	480	710	101
-吨	22	33	46
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-吣	0	2	3
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-吻	130	724	422
-吸	565	1129	39
-吹	365	697	146
-投递	1	8	5
-吴	15238	1304	96
-吵	24	22	11
-吲	93	146	0
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-吱	23	25	9
-名	1245	4723	713
-同	1765	3377	723
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-吁	36	14	25
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-吃	708	1803	332
-吝	23	12	30
-吞	153	221	90
-吟	129	354	389
-君	606	3378	3429
-吕	4236	931	121
-吖	25	48	2
-折返	7	9	2
-吗	33	303	476
-吐	363	918	83
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-向	1864	2718	238
-吒	4	61	21
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-北教场	0	1	0
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-埔	87	313	27
-埒	11	9	19
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-域	107	1104	587
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-埚	1	11	5
-埙	7	7	57
-埘	2	1	3
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-埂	9	116	15
-埃	3893	4203	334
-贱人	2	2	1
-城	840	10166	8944
-埏	9	4	21
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-埋	149	292	42
-埴	7	5	24
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-埽	18	1	8
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-培	757	3330	807
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-垆	5	5	17
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-垄	23	74	38
-型	110	10936	1234
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-挥舞	5	0	1
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-垴	5	32	2
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-垠	6	24	66
-垡	13	22	8
-垢	19	247	87
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-垮	22	87	8
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-坟	82	303	209
-坜	0	11	1
-坝	366	2302	566
-坚	178	708	822
-坛	126	487	212
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-坍	10	14	5
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-圃	17	142	158
-圆	1085	1861	896
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-圄	0	1	10
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-场	127	3684	1856
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-园	203	5644	7796
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-围	277	602	276
-囱	2	3	2
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-困	95	146	107
-囿	6	12	40
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-噬	165	152	51
-噫	15	7	9
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-报道	16	133	129
-噢	32	9	3
-库尔勒	40	12	3
-电讯报	0	0	3
-固态	74	59	1
-生疏	0	0	1
-噶	91	123	15
-卖身契	1	0	0
-伏击战	1	5	56
-豪放	11	13	2
-凹面镜	2	0	1
-贤人	3	3	8
-嘉	1696	6248	716
-高耸	3	2	0
-辉绿岩	2	1	1
-嘌	19	186	1
-嘏	1	8	30
-嘎	343	890	94
-团拜	3	0	0
-马赛	87	20	4
-嘘	35	14	14
-尉氏县	10	1	0
-恋爱观	0	0	2
-嘛	24	38	18
-图形	161	511	107
-嘞	0	5	2
-地契	0	1	2
-嘟	12	36	9
-高职	252	1520	12
-随随便便	1	0	0
-图录	0	31	131
-垂体	34	18	3
-嘭	7	20	4
-嘬	0	5	9
-嘣	2	8	6
-拙见	0	0	1
-嘧	25	343	0
-嘤	19	4	11
-千奇百怪	22	7	1
-嘻	146	91	17
-地头	10	11	1
-马贼	11	1	5
-嘿	62	20	13
-嘲	73	61	15
-嘱	8	4	10
-嘶	27	34	21
-译码	1	6	5
-嘴	76	1733	365
-冽	3	6	29
-冼	114	20	5
-坚定	12	11	4
-两重性	0	0	1
-爱屋及乌	2	0	0
-坚实	9	4	0
-冻	336	479	450
-禹州市	138	11	0
-爆裂性	1	1	0
-况	97	59	108
-圣手	6	21	15
-冷	1528	1361	180
-冶	126	574	120
-冱	8	2	6
-冰	1757	2089	1119
-决	241	337	459
-冲	654	2523	584
-坝子	15	46	5
-冬	654	1912	638
-二分法	5	2	3
-冯	3230	268	35
-冤	89	34	50
-围栏	3	21	38
-冥	374	325	110
-各个击破	3	2	0
-冠	617	2630	538
-冢	101	370	211
-农	825	2718	884
-军	378	2193	5784
-球面	30	34	4
-写	377	1505	156
-冗	18	5	33
-拉车	2	8	0
-冕	69	107	137
-国有	293	756	18
-招贴	15	26	2
-冒	211	113	87
-拆迁	46	251	18
-烽火连天	0	0	1
-册	53	702	2512
-瓦楞子	1	0	0
-再	813	1940	29
-囚歌	0	1	0
-冉	435	116	102
-病情	1	2	1
-手指画	0	0	2
-内	2831	6617	694
-招贤	14	5	5
-计票	1	0	0
-冀	483	286	68
-冁	5	0	0
-语音课	0	1	0
-调流	1	2	0
-凹	255	506	41
-男爵	6	35	52
-凸	132	157	20
-击	194	724	321
-陪酒女	1	3	0
-抓阄	2	0	0
-痴子	0	1	1
-出	744	3744	377
-函	125	189	265
-调派	0	1	0
-豪情	16	18	36
-凼	9	43	8
-凿	105	93	52
-谋求	1	0	0
-激光灯	0	0	3
-凰	55	117	70
-国本	2	5	15
-凳	4	45	74
-连珠炮	1	0	3
-抛锚	7	2	3
-招赘	2	1	0
-凶	286	230	140
-疏松	12	44	9
-骨质	50	32	2
-凭	151	127	60
-国术	12	27	3
-凯	2702	5152	1215
-援款	0	2	0
-特困生	0	6	0
-凡	618	1671	909
-副食店	0	0	1
-揣测	1	0	0
-凤	1771	5249	1440
-搓板	1	0	0
-揩油	1	0	0
-凝	344	1103	182
-凑	35	26	66
-摘录	2	4	3
-撷取	1	0	0
-凋	72	35	18
-凉	627	717	192
-球鞋	1	3	7
-减	264	903	118
-坠子	2	3	9
-凌	1380	1201	417
-净	513	1026	313
-准	455	604	226
-凇	2	8	11
-凄	88	21	20
-病愈	0	3	0
-莫纳加斯州	1	0	0
-撮合	6	3	1
-诗牌	0	1	0
-扶风	31	4	3
-威风凛凛	2	0	0
-儿	185	3402	3026
-土房	2	1	0
-骤起	0	0	2
-搏杀	4	5	7
-儡	0	3	3
-甘甜	8	1	2
-红绿灯	8	8	0
-内阁制	1	0	3
-儒	356	667	804
-恰帕斯州	1	1	0
-儇	18	0	11
-瓜籽	2	20	18
-儆	22	8	18
-压电效应	0	0	3
-图景	0	12	19
-儋	19	10	8
-喜酒	0	7	2
-兰	2699	11449	5149
-固有	40	18	0
-共	678	1299	49
-拓跋	146	9	0
-关	1976	2181	1062
-兴	1118	7187	2532
-推理	57	276	120
-兵	436	1258	2256
-其	137	3676	343
-具	241	1495	506
-典	318	3086	6214
-兹	203	2692	1307
-养	993	2509	350
-携手	31	111	4
-兼	179	403	46
-兽	427	2063	2135
-前车之鉴	1	0	1
-调治	1	52	26
-场强	4	6	3
-入	483	1405	221
-马克思主义者	0	2	1
-甜瓜	70	68	32
-全	3084	9256	2235
-坛子	13	21	11
-喝酒	7	6	5
-公	901	4414	1250
-兮	8	109	101
-先进性	0	44	1
-坚守	16	10	6
-兑	53	95	57
-兖	10	12	15
-兔	476	1393	784
-兕	9	11	17
-党	748	901	773
-一本万利	4	0	0
-痱子	3	3	1
-兜	116	330	90
-元	2672	7732	3662
-允	192	857	227
-兀	87	84	34
-兆	0	711	0
-撼动	4	5	0
-充	168	403	147
-兄	18	127	99
-克	4850	28552	7458
-电影机	0	1	4
-光	2607	10492	4443
-魏碑	10	18	3
-无计划	1	0	0
-先	658	2563	1377
-疏朗	1	0	0
-免	282	317	95
-地心	54	27	0
-催	128	109	23
-警署	1	2	16
-储	468	468	75
-傩	25	90	28
-认知	204	1154	95
-鱼叉	5	9	0
-瓷碗	2	1	16
-评理	0	1	0
-傥	19	13	14
-傣	41	54	5
-打鱼	12	5	1
-押运	5	15	5
-北太平庄	3	16	0
-坑害	0	1	0
-照相馆	1	3	27
-傻	161	181	38
-傺	0	2	4
-器乐曲	0	2	2
-疗效	4	20	11
-拜读	1	0	0
-把门	1	0	0
-傲	404	516	100
-鱼口	1	2	2
-傍	121	52	22
-教唆犯	1	0	1
-傈	24	16	1
-拟订	0	1	1
-拐走	1	0	1
-傅	2630	329	96
-谱曲	0	2	2
-疾患	1	9	9
-挽联	1	1	0
-鲁南	73	20	4
-拜谒	2	1	0
-社会保险	52	82	15
-骑车	13	22	11
-地志	1	5	6
-被害者	0	1	1
-注册表	36	42	0
-普通型	16	3	2
-阿弥陀佛	11	13	1
-保山市	37	5	0
-押送	0	0	1
-土戏	0	0	2
-间接选举	0	1	0
-僬	4	2	1
-僭	73	11	19
-生理	111	224	36
-僦	31	5	6
-僧	296	445	293
-诚然	0	1	0
-僻	74	11	61
-病态	22	13	4
-僳	15	38	2
-拜物教	0	3	7
-货币化	3	5	7
-过街天桥	0	1	1
-非生产性	7	1	0
-僵	47	28	34
-留洋	3	1	4
-人莫予毒	1	0	0
-千娇百媚	3	1	1
-免疫力	10	24	25
-像	772	1061	1434
-接班	2	2	1
-在意	0	1	0
-电池组	3	5	1
-摒弃	1	1	0
-电线杆	1	3	0
-价目表	1	0	1
-坷垃	1	4	2
-长方体	1	0	2
-挺胸	4	0	1
-接球	1	5	9
-僖	9	30	30
-倦	66	36	61
-化隆县	7	0	0
-灵丘县	4	0	0
-倥	5	4	0
-甲烷	73	104	126
-台山市	32	0	0
-倡	67	35	29
-安检站	0	1	0
-倮	95	94	6
-淀粉酶	2	9	24
-倭	92	88	6
-倬	6	45	45
-倪	1347	137	46
-倩	136	235	322
-铁面无私	1	0	0
-倨	20	6	14
-价值连城	0	1	1
-中山路	9	77	6
-倾	468	630	65
-雅皮士	3	0	2
-值	37	904	894
-债	41	137	229
-操作	71	2691	509
-押车	1	0	0
-半壁江山	0	0	1
-内行星	1	0	3
-地形	70	50	42
-倍	325	567	43
-倌	2	15	11
-倏	2	9	4
-倔	13	9	7
-国文	21	51	0
-坪塘	5	16	0
-铁路局	0	58	26
-倒	640	600	113
-倜	12	18	24
-借	274	203	57
-倘	20	10	1
-候	207	224	205
-倚	267	172	78
-球门	3	0	2
-捆绑	15	14	6
-健	451	2767	1292
-诉状	1	6	14
-喝道	0	0	4
-偬	4	3	2
-偶	229	573	140
-图文	116	402	8
-偷	337	405	95
-豪强	0	2	4
-坐定	1	0	0
-园林	607	1423	193
-拘谨	0	0	1
-病征	0	2	2
-偻	14	8	17
-词牌	5	3	1
-电热	133	215	0
-偾	19	11	3
-偿	7	79	34
-招摇撞骗	1	2	1
-妇委会	0	0	1
-国旗	21	93	334
-假	1249	910	124
-拜访	8	14	6
-偈	16	33	92
-大名鼎鼎	3	0	0
-瓦窑	54	26	3
-偌	2	27	3
-偏	617	411	38
-平乡县	15	1	0
-偎	16	16	2
-电焊	20	63	3
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-偕	22	52	22
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-球队	4	4	12
-做	1295	3916	261
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-停	226	361	205
-读法	2	6	38
-换算	15	11	10
-喜迁	28	2	0
-厚	703	1399	600
-厘	61	203	54
-原	1829	4722	811
-撒娇	13	13	4
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-厕	36	46	34
-识相	0	3	2
-试用	9	72	8
-坟头	2	1	0
-压	639	3079	496
-亚锦赛	0	0	6
-蓝宝石	172	38	37
-厉	310	116	185
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-厌	149	217	73
-喜迎	6	4	1
-厍	28	18	3
-厂	121	1759	9225
-历	259	962	523
-温度表	0	1	32
-厄	399	624	138
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-去	564	1825	431
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-厶	2	5	0
-厨	92	659	124
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-南湖渠	1	0	0
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-厢	34	88	60
-厣	0	14	4
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-厥	42	95	66
-厦	113	439	50
-叟	8	50	132
-驿道	3	2	21
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-叙	122	196	160
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-变	808	3430	1024
-受	336	652	185
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-叔	178	1029	180
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-发	853	4632	2127
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-及	101	17093	138
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-友	396	3579	1931
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-鬼神	35	12	15
-叉	377	573	134
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-国教	2	8	0
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-叽	19	16	7
-价格法	0	3	11
-叼	11	7	3
-电灯	8	8	0
-铸造厂	1	2	55
-叹	82	101	161
-司	874	1842	2084
-叻	16	50	14
-型台	0	8	3
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-号	85	2973	1943
-杀伤性	1	3	0
-叶	5748	10335	1669
-台	1104	3720	3009
-右	457	1023	300
-型号	6	37	23
-史	3743	4320	3652
-召	144	433	160
-叭	28	50	2
-叮	79	173	24
-可	2096	5141	574
-叩	71	93	14
-只	458	806	33
-叫	122	615	81
-古	4881	8012	717
-句	223	575	362
-另	277	323	7
-叠	300	338	53
-拦路	6	2	1
-口	511	5421	1151
-德意志联邦共和国	7	3	0
-匐	20	8	8
-定林寺	2	1	5
-调演	0	2	0
-化	773	7265	1746
-北	4700	4755	279
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-无妄之灾	0	0	2
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-匝	19	44	23
-南漳县	12	2	0
-匀	62	105	42
-中年人	7	6	0
-包	1684	1901	2236
-产业群	0	1	1
-打鼓	9	7	4
-留步	1	4	7
-匈	12	31	3
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-匏	34	54	20
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-坞墩	1	0	0
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-匹	170	360	42
-五谷丰登	5	0	0
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-区	282	9609	6670
-唾骂	0	0	1
-医	467	1596	235
-匾	17	17	31
-匿	43	41	58
-扎龙	9	4	1
-匡	400	193	80
-匠	46	181	147
-扑鼻	0	0	1
-匦	8	8	15
-坟墓	16	8	37
-匪	66	101	48
-鸡西市	72	3	0
-匮	16	161	56
-卖	464	578	136
-南	7479	9245	1968
-单	3004	2952	534
-鱼刺	4	12	3
-卒	74	110	156
-卓	986	2423	356
-卑	151	55	42
-卞	452	32	19
-卟	15	69	1
-疲惫	6	5	5
-小青瓦	1	0	0
-卜	650	1091	205
-诊病	2	32	14
-满洲国	14	17	1
-博	3403	8778	1301
-紫金牛	6	0	54
-操办	0	3	1
-升	574	2206	1161
-探监	0	0	1
-擂台	11	8	31
-病床	3	5	5
-卡宾枪	0	4	65
-团校	0	1	23
-协	299	534	151
-华	7326	16325	10500
-文学语言	3	5	0
-卉	29	97	131
-午	117	286	136
-却	132	169	78
-喜车	0	1	0
-卵	276	262	150
-卷	469	3296	8597
-印	594	2263	1555
-危	376	211	124
-拖轮	0	1	4
-即	234	750	29
-挑衅	4	0	3
-卿	158	621	1690
-卸	76	204	20
-拖车	13	12	43
-抗震	48	255	19
-卺	0	20	6
-该片	1	0	0
-卤	395	813	100
-卧	288	426	95
-卦	33	96	155
-卡	7406	14410	4409
-打鼾	5	4	1
-占	350	1468	305
-卣	0	27	122
-搜查	4	70	17
-抠门	8	5	0
-卢	4901	1816	240
-卮	4	27	40
-计划经济	2	5	3
-器皿	0	32	16
-卫	1028	4931	992
-诊疗	11	930	66
-劈	128	105	15
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-劂	0	5	1
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-力	636	7104	2810
-嗅觉	25	8	0
-瓷盒	0	0	4
-劝	137	71	58
-功	164	1047	1335
-办	58	532	463
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-劓	3	0	4
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-努	356	1755	199
-营业额	0	2	7
-劫	120	311	505
-动	962	3201	449
-助	231	576	318
-劬	21	12	24
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-劭	5	50	38
-劢	0	18	5
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-蛋白酶	8	39	69
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-纤维板	7	9	18
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-勇	386	1363	2567
-界河	11	11	3
-临汾市	51	3	0
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-驾车	22	78	10
-勃	301	846	205
-辅车相依	1	0	0
-募	25	242	48
-勘	40	88	59
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-擦伤	4	1	5
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-勐	412	153	15
-勒	583	5044	2225
-鸡血藤	20	9	6
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-勤	190	995	1296
-文教局	0	0	2
-勿	88	250	17
-勾	318	301	72
-勺	63	74	73
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-二道贩子	0	0	1
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-勰	1	17	17
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-刁	444	73	22
-刀	520	1435	1431
-刃	43	327	419
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-切	863	2819	480
-分	1111	4098	654
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-刈	28	33	19
-刊	61	152	179
-刎	6	3	2
-垂危	0	0	2
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-刑	266	253	283
-划	81	303	66
-刖	13	7	6
-列	677	3020	421
-刘	25869	1382	73
-则	113	1026	568
-刚	282	651	2715
-创	721	4520	230
-初	778	1644	971
-刚柔并济	1	0	0
-坡坡	0	5	0
-普遍化	1	0	0
-包罗万象	1	2	1
-删	62	30	14
-扒鸡	9	29	30
-啄食	1	0	0
-判	76	195	90
-别	1744	2013	291
-利	2234	19336	4874
-鱼儿	22	42	33
-刨	51	83	19
-刮	172	128	19
-刭	0	0	3
-驱邪	10	4	1
-刳	30	6	2
-到	186	5759	240
-接生	3	2	3
-制	398	3737	1764
-刷	163	277	135
-刺	978	1494	464
-刻	324	1040	355
-振荡	29	40	55
-券	17	91	173
-刹	43	112	102
-阿拉伯语	37	31	12
-瓦砾	6	2	1
-刿	12	9	11
-石菖蒲	7	2	2
-剁	399	117	12
-剀	8	3	5
-剃	20	35	12
-剂	7	754	4466
-临沂市	260	11	0
-前	2154	5759	600
-剌	33	216	130
-有头有脸	1	0	0
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-削	117	267	137
-剔	83	133	29
-剖	70	67	15
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-剐	7	8	2
-剑	1095	4243	2354
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-剜	15	10	2
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-剞	5	1	0
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-剥	151	157	88
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-剡	40	10	18
-副	397	399	97
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-剪	229	409	97
-剩	106	108	21
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-割	173	164	86
-投降	8	16	19
-验货	3	0	4
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-剿	9	24	32
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-嵩	159	281	208
-嵫	4	7	4
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-嵯	22	19	3
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-驻防	3	1	2
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-过氧化氢	15	5	8
-圈套	13	18	24
-生肖	81	119	10
-豁然	8	1	5
-嵴	6	36	14
-谷物	41	43	3
-土地革命	9	5	0
-嵋	2	17	11
-嵊	44	11	6
-回应	8	9	17
-赠予	1	0	1
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-嵌	179	580	22
-杨家将	22	12	24
-坐像	0	16	117
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-嵘	2	46	76
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-嵝	0	13	1
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-崮	19	63	23
-崩	195	246	60
-崤	19	6	3
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-天理教	2	1	1
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-鲜味	27	18	2
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-军屯村	0	0	5
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-贺卡	10	15	30
-崞	11	3	0
-贵宾楼	1	25	27
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-崖	175	1132	301
-崔	3985	379	22
-唯名论	1	0	2
-抓饭	2	2	20
-巡	209	270	58
-巢	158	455	202
-试纸	0	9	70
-围屏	1	0	7
-电解铝	4	1	0
-工	481	5708	1353
-电解铜	2	0	1
-左	1961	1194	91
-巧	778	1482	268
-巨	1226	1855	68
-巩	361	125	38
-巫	514	188	68
-颌下腺	5	4	1
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-差	348	702	504
-哈龙	7	6	8
-巯	29	109	0
-固守	0	1	1
-己	132	908	261
-唇音	0	0	3
-巳	13	53	56
-搭桥	9	18	11
-已	119	481	126
-扬黄	1	2	0
-巴	5843	10178	1040
-西华县	19	4	0
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-巷	50	758	611
-坚信	4	3	3
-说笑	1	1	1
-巽	78	42	49
-搭档	5	28	53
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-撒尿	7	5	0
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-披露	2	83	20
-巍	89	111	232
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-坪上	10	10	0
-州	124	5031	1817
-川	2104	5577	1644
-少奶奶	0	0	11
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-坝体	4	0	0
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-屺	8	14	9
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-巾帼英雄	4	0	4
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-贪吃	95	89	0
-屿	27	455	199
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-山	3556	20542	8961
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-瑞雪	13	23	15
-屯	292	1777	296
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-屣	5	9	25
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-属	170	424	6619
-屐	4	18	38
-屑	23	224	103
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-屈	737	254	120
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-屋	130	1506	1094
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-届	5	14	10
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-屏	316	810	766
-屎	30	129	38
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-屁	39	133	23
-局	166	1617	9798
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-层	198	1260	867
-居	577	2677	1815
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-尾	515	4232	825
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-尿	356	853	102
-尼	3215	14223	3787
-园子	9	35	14
-尽	129	468	233
-尺	131	269	243
-尻	10	95	3
-尸	208	531	253
-圪台	2	3	1
-尹	2582	267	146
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-老态龙钟	1	0	0
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-尘	247	616	493
-尚	1729	3662	462
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-尔	171	54919	11804
-尖	998	1107	465
-调研	14	286	64
-少	751	3124	307
-接着	1	4	0
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-尊	243	1882	1329
-射	502	866	235
-将	415	908	501
-封	867	1300	374
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-峰	265	3665	4570
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-折页	2	8	4
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-痛楚	2	2	0
-鸡血石	2	5	4
-地名	35	157	13
-马靴	0	0	1
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-掏空	1	2	1
-峡	80	467	387
-峦	21	71	45
-峤	15	47	74
-峥	5	29	109
-费力	4	1	3
-摆摆	2	0	4
-峪	42	944	171
-特立独行	1	9	0
-摆摊	1	1	0
-知更鸟	3	1	8
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-峒	13	103	28
-资兴	64	6	0
-瓦釜雷鸣	0	0	3
-峙	28	72	87
-集体性	1	0	0
-苏州市	888	18	0
-珠穆朗玛峰	8	6	5
-巴伐利亚州	1	1	0
-峁	1	48	2
-峄	31	39	15
-回帖	1	2	0
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-的哥	3	4	7
-一元化	7	0	0
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-峋	4	5	6
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-用纸	1	16	0
-岵	5	5	5
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-岳	1387	1254	632
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-岽	3	17	6
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-岢	20	16	4
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-岣	7	6	0
-岭	274	3550	1172
-岫	16	99	74
-岩	1389	3491	1932
-岔	113	384	38
-岗	249	2507	503
-悉尼港	2	0	0
-岖	4	1	6
-岑	400	203	217
-披阅	0	1	0
-岐	155	343	318
-岜	43	18	0
-岙	17	200	10
-岘	20	112	22
-岛	297	4156	5448
-国威	11	22	19
-岚	120	423	448
-岁	190	253	219
-岂	39	45	7
-豪气	2	0	4
-岍	1	0	4
-岈	2	24	4
-白喉	112	20	0
-病毒	150	889	1038
-搓洗	0	2	0
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-疾步	4	2	0
-彀	13	7	19
-水稻所	0	0	1
-哀鸣	0	1	1
-彝	109	152	195
-马队	0	0	4
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-彖	5	2	9
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-录	64	1293	3590
-马六甲	29	2	0
-归	886	1414	403
-当	972	1899	438
-甘美	3	1	1
-彭	4045	385	172
-百合	787	817	440
-质地	1	5	2
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-彩	1155	4707	764
-彪	73	151	735
-彦	59	2133	1109
-描画	1	53	14
-形	260	4738	550
-彼	911	805	19
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-役	58	48	299
-推移	7	8	6
-彻	68	276	245
-的卡	2	13	0
-在即	0	1	3
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-彰	114	137	163
-影	517	2690	1331
-拉锁	3	0	0
-撇开	1	0	0
-贪图	5	0	0
-彳	4	4	0
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-弋	72	61	49
-弊	74	51	88
-调笑	12	1	2
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-式	68	19488	1071
-仁义道德	0	0	1
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-弃	335	283	127
-异	3018	2756	387
-弁	40	28	55
-白吃	7	0	1
-开	2252	4715	852
-顶刮刮	0	0	1
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-喽罗	0	0	2
-密执安	2	0	0
-弄	377	746	243
-弛	60	50	61
-弘	469	1158	393
-国境	9	21	3
-微观世界	2	3	4
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-弟	14	247	629
-并行接口	0	0	1
-弓	300	393	307
-弑	57	74	13
-贝壳	97	99	28
-弗	3242	4263	270
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-引	478	1173	510
-弩	39	72	120
-捕获	18	23	13
-弭	52	13	12
-走人	2	0	1
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-性周期	0	1	1
-张	31175	2469	267
-坏事	2	3	2
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-弥	294	453	156
-弧	95	267	81
-弦	154	439	304
-弹	339	928	482
-强	973	2506	3942
-联合公报	0	0	29
-弼	32	118	240
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-赶上	4	2	2
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-坐位	2	2	0
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-心	2007	7888	4569
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-忌	72	325	369
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-忉	3	1	2
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-忑	1	3	3
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-忝	13	4	14
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-忘	206	336	70
-推究	1	0	0
-忤	26	6	33
-忧	148	568	239
-忠	323	3049	3641
-忡	5	2	5
-守株待兔	3	1	5
-瘦弱	1	0	0
-忭	4	3	15
-体细胞	25	24	11
-忮	16	1	18
-闹翻天	0	0	17
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-瓢虫	35	21	200
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-快	783	1964	189
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-待	181	311	116
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-律	175	884	712
-很	116	743	24
-徉	5	2	6
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-嗤笑	1	3	1
-徒	129	347	238
-徐	10428	820	79
-纯净度	0	0	1
-得	527	4807	607
-地勘	7	7	0
-徕	69	63	15
-撒布	12	7	0
-徙	57	28	37
-赌友	0	0	1
-戎马生涯	0	4	5
-练习簿	0	0	1
-魔窟	12	6	10
-御	1444	1728	248
-提留	0	1	0
-模范县	0	0	1
-摇曳	8	8	5
-镇江市	188	12	0
-拱道	1	0	0
-徨	1	4	4
-披风	5	4	75
-循	200	171	72
-驽钝	0	0	2
-报馆	0	1	2
-拉锯	3	0	0
-驼铃	6	13	7
-微	2565	2924	573
-男篮	2	18	21
-地势	4	7	2
-四中全会	0	11	7
-徵	21	169	91
-清风店	4	0	1
-场内	16	5	0
-德	4794	36863	8877
-坑人	1	1	1
-净月潭	4	4	1
-论著	0	104	13
-徽	263	493	211
-徼	43	7	48
-马锣	1	0	0
-幞	6	5	3
-幕	128	293	187
-赢余	0	1	0
-狭路相逢	1	0	6
-因子	13	186	62
-提琴	4	18	8
-挂账	1	4	3
-幅	34	97	88
-非艺术	1	3	0
-幄	8	5	37
-蛋白质	203	143	157
-幂	34	49	34
-画稿	2	19	28
-广	2611	5002	796
-幼	260	882	58
-幽	629	438	120
-幺	73	38	24
-白区	0	0	1
-社会保险金	0	1	0
-幻	534	988	88
-拿走	1	5	0
-幸	239	488	328
-摄政王	6	3	1
-并	247	806	73
-核桃仁	55	22	43
-年	408	2729	1895
-斜拉桥	9	3	16
-海原县	7	1	0
-干	2626	3479	1522
-象湖	8	9	8
-平	3084	6094	8428
-排箫	2	2	6
-甲等	1	4	0
-插班	1	1	0
-排气阀	1	1	48
-推磨	2	0	7
-财团	2	17	49
-搭棚	2	1	0
-幢	19	53	91
-电站	53	95	0
-幡	34	64	74
-鱼唇	9	9	42
-帘	38	328	217
-拨通	1	0	1
-诊脉	2	1	2
-帙	0	6	32
-围墙	19	21	18
-帚	62	67	35
-摘掉	0	1	0
-帛	36	113	80
-偏心轮	2	0	0
-帜	3	15	46
-帝	725	2371	939
-海南岛	25	32	7
-帐	87	372	287
-帑	20	0	15
-设色	4	85	2
-马镫	2	1	2
-帔	2	7	34
-帕	2294	3518	288
-帖	80	430	1186
-师	651	4100	3198
-虎门港	3	2	0
-农田水利	9	21	0
-希	1411	5340	1238
-极大值	1	1	1
-贫嘴	7	1	1
-币	16	205	347
-界石	9	2	0
-布	4609	9981	1646
-市	436	14134	2264
-帅	351	473	342
-四害	0	4	1
-帆	62	539	470
-大不列颠及北爱尔兰联合王国	0	3	0
-帻	3	1	27
-常	2198	1795	513
-瘸子	1	0	0
-排水量	1	0	17
-帼	0	23	9
-帽	99	419	379
-译者	2	6	2
-帱	1	0	12
-帷	42	43	60
-哨音	1	0	0
-囚室	3	0	2
-授粉	4	10	11
-集体户	1	3	0
-按语	0	1	3
-帮	354	715	387
-大连港	4	1	3
-席	680	774	353
-贪嘴	1	0	0
-政治部	2	58	4
-四定	2	1	2
-帧	37	46	54
-地光	0	2	0
-带	927	2957	2378
-指责	1	0	0
-廖	2760	238	20
-唤醒	69	42	12
-廑	3	4	4
-铝合金	155	121	213
-白发	42	23	16
-民法学	29	18	22
-廒	3	4	4
-捧腹	1	1	1
-廛	18	1	17
-黑猩猩	11	6	10
-地利	6	9	0
-语系	0	21	63
-廉	391	1716	545
-专营店	0	0	23
-廊	90	239	586
-连接线	1	1	20
-圆场	2	0	1
-廷	93	2412	723
-音素文字	0	0	2
-延	670	2257	389
-摇晃	5	7	2
-登台	3	1	3
-圆圆	9	25	29
-圆圈	7	11	8
-建	1267	8707	1313
-生育率	1	3	5
-接种	18	63	27
-界碑	3	3	27
-寸白虫	1	1	0
-佛山市	1777	49	0
-廪	53	9	48
-廨	8	9	9
-瓦蓝	0	1	0
-团子	5	6	39
-庑	4	9	29
-庐	135	379	207
-库	1608	3670	1264
-大连湾	6	1	0
-底	373	2092	369
-应	1092	3232	375
-货场	0	0	3
-店	148	8046	10362
-庖	43	20	19
-庙	348	1526	2008
-电筒	3	9	20
-庚	109	475	458
-商贩	0	5	0
-府	191	1321	1456
-废	280	281	110
-庞	1396	283	54
-庀	5	14	0
-南市区	1	4	0
-坐下	1	0	1
-庄	1672	6949	1690
-陶然亭	8	15	1
-略略	0	0	1
-庆	655	5264	1987
-土司	54	122	297
-庇	38	89	47
-商贾	5	5	1
-喧腾	0	0	1
-床	112	445	767
-庋	5	18	4
-商贸	49	2175	25
-白厅	1	0	0
-捻线	2	1	3
-序	87	920	786
-庳	10	0	8
-病榻	4	0	0
-康	3611	8359	2240
-庵	78	547	683
-语素	2	3	10
-庹	47	4	3
-庾	129	49	29
-白卷	2	6	5
-鬣羚	2	0	1
-庠	11	23	70
-度	203	1904	1760
-比丘尼	7	7	3
-回家	51	188	1
-座	106	1276	741
-庥	7	15	15
-资历	7	6	2
-男童	1	12	0
-庭	95	3153	1838
-败坏	3	1	0
-夥	4	4	2
-夤	8	6	5
-大	20581	37432	988
-皇储	1	0	2
-后来人	0	0	2
-撕开	10	3	0
-社会主义者	0	2	0
-夭	41	52	41
-试穿	2	1	1
-夯	30	42	17
-央	243	343	199
-天	8507	18986	2485
-鱼尾	40	77	44
-提盒	0	0	4
-夫	121	8290	7040
-慕尼黑	86	49	5
-太	1637	4710	934
-头	962	7209	2455
-夷	230	352	267
-失	439	457	169
-病根	0	1	3
-拾遗	9	40	63
-夼	3	87	6
-滴水不漏	4	14	2
-夸	220	203	53
-夹	358	686	298
-夺	442	476	157
-分子结构	1	9	3
-备	163	338	227
-病案	7	42	2
-处	99	539	850
-译笔	1	4	0
-电离	36	31	17
-夏	4847	2354	767
-复	818	1443	404
-酸碱度	3	3	7
-场地	29	98	30
-国库	33	30	6
-外	2001	3837	296
-国庆	46	64	131
-夔	84	162	92
-总动员	0	310	354
-夕	130	486	210
-新闻网	1	28	301
-柯尔克孜族	12	9	2
-够	32	167	74
-大运河	15	23	29
-夜	1221	2311	1006
-白唇鹿	2	3	1
-排污费	3	7	2
-奠	44	43	48
-奢	73	72	41
-奥	6804	11996	1594
-畜生	1	1	2
-沙家浜	14	10	4
-说白	2	3	0
-百分	17	15	0
-败军	1	0	0
-女	1345	4967	1888
-豆沙	178	293	17
-奴	93	509	476
-甜糯	8	18	4
-奶	737	1192	295
-国度	1	75	149
-回执	1	6	5
-奸	118	75	106
-场址	1	1	0
-她	207	359	117
-回扣	4	9	4
-贫僧	7	0	0
-好	2540	6429	850
-离不开	2	17	0
-场场	0	3	0
-奂	9	28	38
-账册	0	0	1
-奁	12	17	72
-奇	1582	7766	6131
-木制品	8	62	0
-疏漏	0	1	0
-责任险	0	1	33
-奋	106	168	126
-奉	531	524	142
-奈	496	1624	597
-奏	98	251	251
-点到为止	0	0	1
-奎	351	1068	1336
-契	174	454	207
-贝劳	7	0	0
-奖	53	495	2043
-莱州市	69	6	0
-套	257	879	482
-奔	262	394	119
-豆油	9	8	13
-歌仔戏	1	2	6
-奚	350	91	28
-排练	1	2	2
-奘	5	62	12
-摹拟	1	0	0
-拉各斯	3	6	1
-双人滑	2	2	0
-妪	0	9	19
-妫	22	7	9
-惯性力	1	0	2
-妤	1	26	72
-中山陵	12	1	2
-妥	127	238	62
-豆浆	125	125	178
-妣	0	3	7
-购入	0	1	0
-妾	36	76	122
-妹	64	450	782
-提督	10	10	13
-回报	2	33	28
-妻	56	409	655
-普通人	9	7	5
-恐龙蛋	8	16	15
-脑心通	2	0	1
-摇椅	6	0	4
-摩擦	126	200	30
-贫农	0	0	1
-妲	18	48	34
-诗章	0	1	5
-心驰神往	0	2	0
-打招呼	0	2	0
-妍	114	266	420
-妈	147	617	163
-叶子烟	0	0	1
-妆	101	535	365
-抬高	4	9	1
-妇	207	331	238
-妄	60	58	67
-资产	346	1237	210
-如	2154	4873	1330
-贝卡	25	69	14
-好榜样	2	39	9
-贺信	3	0	0
-马鳖	1	0	0
-妁	0	2	4
-妞	27	142	93
-抽风	7	4	2
-团扇	11	24	18
-妙	633	1454	185
-妗	5	1	3
-误码	2	5	0
-拉面	18	32	94
-瓜蔓	3	15	1
-姨	8	17	41
-探索	353	800	947
-索马里	66	22	8
-地处	0	4	0
-姬	676	1049	817
-图式	8	10	25
-授职	1	0	1
-调用	1	5	13
-村提留	1	1	0
-大公无私	0	0	1
-指导性	6	19	0
-公诉人	1	2	0
-小姑娘	4	2	30
-地壳	53	72	7
-姿	66	463	242
-别开生面	1	1	0
-跨学科	12	27	0
-姊	25	12	14
-始	234	391	121
-坐商	1	1	1
-警衔	1	7	0
-图强	4	10	0
-暂时性	15	6	0
-姆	357	7778	2193
-驾驭	27	38	2
-搓澡	3	8	0
-姚	1815	37	16
-财务	905	2349	47
-皇冠	119	319	78
-财力	3	8	5
-困惑	16	59	55
-姝	22	88	115
-姜	4428	1528	332
-姓	10	238	2200
-驾驶	50	334	51
-姒	12	4	15
-姑	128	479	210
-姐	57	181	222
-姗	18	86	95
-地拉那	6	2	0
-全世界	130	76	19
-委	220	547	215
-堵	67	204	33
-独立自主	1	0	0
-吉大港	4	1	0
-劳动党	0	19	11
-皈依	9	6	7
-堰	71	296	87
-中山门	6	9	0
-国家标准	20	136	33
-疝气	19	20	21
-鱼子	43	36	20
-捶背	1	0	1
-坠入	14	6	0
-疗法	0	305	2145
-新郑市	53	6	0
-操场	12	3	8
-堤	99	511	248
-变态反应	13	13	13
-认罪	1	0	0
-豪杰	16	28	30
-堡	99	2592	1111
-堠	11	20	17
-诗社	0	7	138
-地址	39	86	91
-抻面	1	2	2
-一锅端	0	0	2
-堪	107	189	84
-地坛	9	10	3
-圆山	18	9	0
-堕	87	70	58
-拈阄	1	0	0
-堞	3	2	17
-地块	4	1	0
-中轴线	1	1	12
-堙	5	6	9
-圈层	3	2	5
-调理	21	193	69
-堆	199	760	257
-堂	226	3769	3751
-堍	2	5	3
-鲸吞	7	0	3
-堋	1	3	2
-电磁	431	675	1
-驰骋	9	13	11
-拆除	10	46	6
-高跷	10	8	20
-电磨	1	0	0
-马鬃	19	3	1
-换药	2	0	0
-塥	0	1	1
-填	172	614	84
-塬	3	109	26
-掀翻	1	1	0
-白兔	39	107	29
-塑	157	1923	192
-塔	2227	8902	4496
-圪塔	4	14	1
-塘	502	3945	373
-塞	2357	5071	751
-贵人	21	19	82
-半公开	1	0	0
-塄	2	7	2
-塍	8	49	28
-塌	74	202	43
-双休日	5	2	0
-锦州湾	0	1	0
-驷马	19	6	1
-高碑店市	8	2	0
-墼	0	3	5
-接管	9	19	8
-白兰	35	16	9
-这时候	0	1	0
-挑起	0	2	0
-鬼节	0	2	10
-墨	913	1186	524
-海月水母	1	0	0
-墩	74	732	239
-小姑子	0	1	0
-墟	36	87	106
-驸马	16	19	19
-增	552	1811	687
-贼人	2	0	0
-百兽	37	4	1
-墙	205	1047	801
-白军	5	0	3
-墚	2	0	2
-坦克	268	824	1176
-贺仪	0	0	2
-挂载	1	0	0
-地域	63	169	22
-墓	96	872	2501
-想当年	2	0	2
-押韵	5	3	4
-墒	4	13	18
-挂车	4	23	24
-瘦小	8	4	0
-败兴	1	2	0
-墉	15	75	67
-骨针	1	1	14
-墅	11	303	282
-掌纹	28	21	9
-墀	3	10	89
-墁	2	5	7
-境	26	584	459
-侧压力	1	0	0
-走私案	0	2	6
-试种	0	1	0
-壳	121	936	373
-声	478	1947	1573
-控管	0	4	3
-搞活	0	4	0
-贬值	0	4	16
-壶	183	449	1919
-地基	108	178	25
-后防线	0	1	3
-士	209	6133	1562
-译稿	1	3	3
-壮	247	471	278
-象棋	281	241	88
-国奥队	0	0	2
-瓜葛	2	3	0
-磐安县	66	17	0
-小霸王	19	4	18
-豆汁	6	4	14
-训练	34	3882	2448
-壑	3	118	92
-词章	0	0	3
-拍卖法	5	1	2
-二元论	0	2	7
-留用	2	1	0
-高新技术	63	569	11
-贝利	63	105	66
-地堡	2	7	9
-科威特	25	6	0
-壁	146	907	507
-白净	1	5	0
-壅	47	34	25
-嘴皮	0	1	1
-推算	2	11	5
-驴骡	0	1	0
-简简单单	4	0	1
-评级	1	67	49
-嬉	48	49	46
-画眉	35	41	15
-政治课	0	13	0
-挑逗	5	2	2
-贺兰	59	10	6
-嬖	22	6	15
-鬼脸	39	16	7
-设置	4	267	35
-灵隐寺	4	3	6
-唐太宗	48	9	6
-瑞金	75	82	19
-栾城县	10	2	0
-秋后算账	0	0	1
-蒲公英	85	44	120
-悉尼湾	0	1	1
-团徽	0	4	2
-排联	0	3	1
-贩卖	10	30	4
-摸摸	5	2	1
-在场	3	15	0
-生成物	0	1	0
-过氧化物	11	19	5
-售房款	2	0	0
-挑选	8	14	1
-嬲	4	3	5
-贴切	0	1	0
-嬴	58	17	20
-圣城	16	7	9
-圆子	2	33	103
-高贵	56	17	11
-诡笑	1	0	0
-黄褐斑	2	7	5
-高质	2	5	1
-支书	3	1	5
-瓣膜	4	35	13
-抽验	0	1	0
-警觉	3	0	3
-收费站	2	13	22
-提示	17	64	32
-电码	5	4	14
-字	208	3487	823
-孔	2241	2084	605
-孕	418	626	43
-土墩	4	15	3
-鸡犬之声相闻	1	0	0
-孓	0	2	0
-子	1120	14738	9792
-赐予	3	4	0
-孟	2825	1611	189
-拖鞋	12	7	19
-囊括	2	2	1
-撩开	3	0	0
-孝	507	2035	561
-孚	77	431	208
-孛	115	60	6
-存	265	1366	814
-孙	10270	790	440
-孥	2	1	11
-土墙	2	6	2
-孤	542	394	81
-豪横	1	0	1
-学	1685	21253	11239
-招集	1	0	0
-季	1244	1439	357
-调皮	46	38	4
-气轮机	0	2	1
-孩	37	108	64
-货单	0	4	2
-晋东南	7	5	0
-坐力	0	1	0
-模拟网	1	1	0
-孵	7	22	3
-商量	2	7	11
-痴情	27	13	11
-圈子	29	40	20
-坐功	0	1	0
-孰	21	35	17
-劳动力	73	169	14
-挫败	0	2	2
-话筒	11	14	21
-孽	110	95	96
-电石	12	5	1
-鬼胎	0	1	6
-资信	20	37	3
-瘤子	2	0	0
-宋	7346	1531	168
-守	403	2179	286
-异乡人	4	2	5
-安	9671	14196	3137
-宏	1026	4606	1997
-完	482	723	103
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-它	88	167	35
-皇位	0	2	1
-宁	2213	4297	2692
-宇	493	3845	2292
-宄	1	4	8
-接纳	5	14	2
-宅	299	822	444
-宛	206	167	48
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-定	1354	3974	1054
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-实	510	11965	971
-宝	2333	15196	3782
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-宓	44	35	23
-麻木不仁	0	0	1
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-宗	901	4546	1573
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-宪	90	1168	550
-宫	1461	2500	1950
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-宠	153	435	294
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-宣	920	872	465
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-提神	8	4	1
-室	162	802	1052
-宥	28	62	67
-宦	119	47	77
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-贡品	3	6	1
-容	506	1006	817
-宸	91	218	154
-宽	827	764	911
-宿	697	585	227
-宾	596	1557	744
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-宰	127	157	133
-害	86	160	178
-宵	52	97	92
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-宴	175	387	425
-家	1593	25499	2938
-瘦子	3	5	4
-富	2208	4211	1899
-密	1060	2423	382
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-寄	441	807	183
-寅	63	353	306
-寂	91	72	84
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-察	321	540	299
-马骡	1	0	0
-寞	7	7	11
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-寐	14	32	44
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-论者	0	2	7
-寮	75	253	86
-寨	166	4916	746
-肝功能	14	5	1
-回想	5	7	1
-菜篮子	10	15	4
-寥	40	28	17
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-寡	204	151	51
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-寿	673	3124	1068
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-对	2134	5621	456
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-寻	680	1077	213
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-娃	42	635	983
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-娆	7	10	19
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-娈	7	5	7
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-娌	0	6	2
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-记者	53	315	73
-娲	16	11	9
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-娱	70	181	46
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-土坝	4	1	4
-娠	0	2	3
-土块	1	1	1
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-娩	8	4	3
-土坑	2	1	1
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-婆	154	526	274
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-四快	3	0	0
-婉	74	338	120
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-婷	38	353	848
-婴	133	552	167
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-婪	10	12	3
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-媛	11	243	622
-媚	106	198	201
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-媒	34	204	108
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-媸	1	7	4
-媳	1	19	11
-吉林市	235	19	0
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-喷药	4	4	0
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-嫜	0	1	2
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-分析员	0	1	5
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-嫔	17	44	91
-课目	0	1	0
-嫖	6	5	2
-嫒	0	10	16
-嫌	44	36	49
-嫉	19	26	20
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-挡路	0	4	1
-金沙萨	2	2	0
-持重	0	0	3
-总务处	0	0	1
-说不上	2	0	0
-嫁	124	429	199
-乌篷船	1	0	0
-嫂	3	91	83
-瓦脊	0	0	1
-驴肝肺	0	0	1
-播州	6	0	2
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-豆渣	88	103	39
-招降	3	3	0
-土堆	2	0	2
-块儿	1	0	7
-旧社会	1	0	0
-画皮	10	3	4
-嫱	1	7	16
-痴恋	6	1	2
-营业部	2	4	90
-羽绒被	0	0	1
-嫫	1	14	7
-得寸进尺	2	0	0
-嫩	165	518	85
-光辐射	0	2	1
-电度表	4	3	6
-嫠	11	7	13
-一锅粥	0	0	3
-大明湖	12	17	0
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-回去	1	5	9
-新房	14	12	18
-日寇	2	5	1
-暨	38	924	20
-文本	83	199	91
-青花瓷	33	36	55
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-新手	482	284	0
-上下学	0	2	0
-暴	494	362	168
-教法	5	34	35
-讲求	0	1	0
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-国信	72	67	15
-丰富性	0	3	0
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-画技	0	41	0
-暂	67	75	6
-生日	69	141	83
-暇	18	27	34
-认清	2	0	1
-烟台市	233	12	0
-丽江县	0	2	0
-暄	15	26	72
-话本	5	12	15
-详明	1	0	1
-暌	15	3	6
-蟋蟀草	1	0	0
-暑	102	91	71
-暖	498	1039	206
-暗	1023	656	67
-话机	2	2	20
-溜冰鞋	0	1	2
-八成八	0	1	0
-阴差阳错	2	0	3
-暝	18	9	23
-警用	31	46	0
-曦	47	209	285
-球衣	3	3	3
-状态栏	1	0	0
-文杰	3	35	102
-风景点	0	0	2
-国债	73	39	51
-画报	3	42	90
-球衫	1	0	0
-曩	28	4	2
-早安	73	9	6
-搭配	15	192	74
-更	328	1377	174
-阳春面	0	2	4
-斋月	2	1	2
-曷	16	20	1
-曰	9	198	36
-癞蛤蟆	8	1	3
-曲	1859	2546	1633
-曼	1828	5453	2555
-大麻哈鱼	2	3	13
-曾	4223	865	429
-替	143	502	137
-空无一人	1	0	0
-唐诗	307	298	177
-曹	5523	665	193
-放火	2	4	4
-警界	18	5	1
-回合	11	18	0
-四周	8	7	1
-斋期	0	0	3
-曜	31	180	137
-曝	62	134	14
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-执迷不悟	1	0	0
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-昭	544	1379	586
-是	399	9855	229
-生效	0	15	8
-映	308	914	142
-救活	2	1	0
-日子	10	100	479
-电抗	4	7	10
-判断力	2	13	3
-春	1620	7391	3968
-昧	43	38	92
-昼	77	55	65
-显	526	1896	376
-昱	24	259	158
-哪边	0	1	0
-昵	34	14	28
-摊贩	2	6	2
-昴	33	17	33
-救济	5	105	48
-电报	10	28	17
-昶	6	94	119
-斑斑	6	3	8
-昊	101	776	270
-调戏	7	5	2
-斑斓	10	7	5
-回单	1	3	4
-明	5274	11224	9209
-昏	179	60	82
-革命党	0	2	11
-保温瓶	1	3	1
-昌	822	5440	2599
-昂	651	1177	348
-榴弹炮	1	4	254
-昃	15	7	14
-昀	2	41	93
-咽镜	0	0	1
-昆	454	723	586
-园内	1	2	0
-现金	175	153	14
-行政诉讼	52	28	7
-辛迪加	6	2	4
-星	2473	10361	3546
-昝	59	4	1
-易	3038	5138	496
-餐巾纸	7	9	4
-哲学史	6	71	43
-回升	1	0	3
-聚苯乙烯	18	12	8
-昕	49	220	257
-谢幕	0	4	2
-昔	144	250	206
-不亦乐乎	1	2	2
-读报	3	7	5
-普	3322	8677	1151
-景	1339	6285	1599
-畅想	13	33	9
-晨	294	1075	515
-词根	7	102	3
-晤	11	28	19
-施恩	10	5	5
-琼脂	15	30	42
-晡	3	8	11
-购买力	12	10	15
-生料	15	13	7
-讴歌	7	1	5
-晾	27	20	3
-智	1045	4603	1595
-留底	2	0	2
-旧学	6	1	0
-晴	138	559	455
-无尽	132	90	15
-晷	5	13	41
-晶	473	2161	691
-晰	6	34	40
-图例	0	21	21
-革命军	3	299	7
-晏	465	216	126
-梭罗树	1	0	2
-晌	7	6	16
-上影线	0	0	1
-玉雕	32	136	34
-晋	1064	1359	298
-散步	10	29	53
-冒名顶替	0	1	4
-咸阳	264	60	9
-飞黄腾达	3	2	2
-晃	44	164	117
-晁	147	21	13
-晟	49	740	180
-查准率	0	0	1
-晚	597	701	182
-回历	1	0	0
-晗	5	51	103
-巴基斯坦	97	45	4
-晖	27	419	608
-黄皮书	1	8	2
-晕	93	109	92
-晔	5	72	148
-旧宅	2	8	31
-晓	438	7497	623
-摘译	0	1	0
-谢帖	0	1	2
-晒	143	266	26
-狼吞虎咽	0	0	2
-枰	0	18	17
-架	127	502	672
-议论性	2	1	0
-枵	13	2	5
-粗茶淡饭	2	1	0
-病势	1	0	0
-操练	2	44	20
-枣	449	760	484
-操纵	41	171	31
-针灸师	0	3	1
-枧	27	33	2
-枥	11	21	43
-疏失	1	0	0
-枫	438	737	483
-枪	217	496	889
-响铃	15	1	15
-孙中山	113	48	29
-枨	12	26	12
-枯	291	541	79
-图像	263	789	109
-豆子	17	46	42
-玉音	2	3	4
-留心	1	2	4
-析	111	619	667
-回响	1	17	26
-磷酸钙	4	6	9
-枕	232	541	538
-文档	53	123	50
-林	10798	13142	8158
-枘	6	7	6
-四平乡	0	0	1
-枚	43	81	92
-留念	0	0	5
-慢车道	0	0	1
-山豆根	9	1	5
-果	859	4370	1716
-皮带轮	0	2	1
-枝	237	2019	595
-方才	3	0	9
-极	1146	1780	437
-剩余价值	12	6	4
-芝罘湾	2	0	0
-说教	1	4	0
-豫园	8	17	1
-构	154	619	224
-辐射学	0	0	1
-枉	125	34	42
-团员	7	12	5
-杂草丛生	1	0	0
-文案	13	72	34
-枋	15	14	42
-驱逐舰	7	18	590
-危害性	2	6	1
-柴	1221	527	220
-柳	2686	2121	1399
-柰	8	8	18
-柱	300	1672	1363
-柿	168	108	138
-是否	4	25	1
-柽	16	53	13
-党八股	0	0	1
-善终	1	2	2
-保家卫国	0	0	1
-拍卖师	5	0	2
-查	1796	3309	493
-语族	0	7	51
-柢	6	5	14
-柯	1792	1514	444
-柬	10	32	19
-斗智	4	10	14
-柔	437	496	265
-必然王国	1	1	0
-昭和	45	15	7
-某	59	67	26
-柑	32	75	157
-柒	16	2	9
-园区	14	445	929
-二次方程	0	3	3
-染	246	536	181
-柜	32	255	597
-生机	18	25	25
-柝	5	2	25
-柘	117	52	9
-阿姆斯特丹	59	21	3
-昆虫学	10	22	27
-调换	1	1	5
-柙	4	6	8
-山东省	2008	139	1
-柚	109	214	117
-柄	86	1160	155
-柁	10	1	3
-柃	8	10	91
-夜生活	6	13	8
-摆轮	1	0	0
-柏	1263	2213	836
-机	585	3564	14394
-加利福尼亚	56	22	4
-褒义词	1	0	0
-朽	74	44	35
-湄洲湾	8	4	0
-河外星系	0	0	3
-朱	12005	1443	114
-朵	488	472	194
-朴	1183	304	286
-电控	59	255	3
-料斗	3	2	4
-未	494	1223	67
-新闻社	1	8	1
-末	296	527	326
-语料	0	13	2
-木	2583	6935	2407
-子弟书	2	1	1
-术	134	1328	3421
-教派	1	8	23
-本	1409	6677	2304
-识别码	0	0	5
-札	98	225	230
-调拨	3	12	4
-单人舞	0	0	2
-旅游点	0	0	2
-翩翩起舞	1	0	0
-制造者	1	6	24
-散水	6	1	1
-望	1187	1575	734
-放炮	0	1	3
-旅游热	0	1	0
-朝	911	2712	816
-男排	0	4	29
-诱敌	0	3	1
-期	169	898	1148
-留影	0	3	7
-朐	15	11	1
-朕	21	30	15
-十进制	8	4	7
-旧居	1	18	161
-朔	111	193	104
-朗	1018	3453	725
-月	1693	4288	1860
-有	2139	8527	648
-七级浮屠	1	2	1
-健骨生	1	0	0
-旋律	20	70	107
-朊	8	20	2
-朋	151	513	299
-服	141	523	880
-准格尔	25	2	0
-旗帜	29	48	37
-最	2746	6235	141
-讲法	0	1	1
-板	716	2523	3387
-松	2132	4569	3242
-杼	20	17	24
-磷酸铵	5	1	20
-杷	5	21	7
-杵	39	37	53
-杳	17	14	21
-杲	19	27	54
-杰	2380	4251	3952
-杯	213	942	1650
-杭	397	485	128
-回味	18	4	9
-杪	15	7	20
-留待	0	1	0
-软件业	1	1	1
-喜怒哀乐	4	3	5
-杨	17757	1624	512
-杩	10	1	0
-球裤	0	0	1
-鳞爪	2	1	3
-来	838	5297	1904
-试样	6	33	3
-杠	48	98	74
-照相机	5	34	78
-条	326	1719	1372
-语文	641	1833	836
-杜	5149	2618	216
-束	386	495	141
-畏惧	2	1	1
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-易地	6	14	0
-显出	0	0	1
-杖	104	227	336
-十字路口	20	8	24
-村	514	4888	80622
-护城河	2	3	8
-材	77	652	668
-杓	23	115	40
-杌	8	9	26
-李	34553	3158	508
-杏	514	967	247
-豁子	0	3	2
-杈	8	10	6
-杉	254	310	217
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-杆	46	776	462
-杀	462	1292	662
-早就	1	2	0
-鳞片	26	28	7
-杂	775	2009	182
-权	576	1919	2423
-撇	59	33	19
-喜糖	4	6	3
-撅	17	7	4
-撄	12	3	2
-整枝	0	4	3
-撂	16	5	0
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-病友	4	9	2
-哥斯达黎加	35	5	2
-撖	5	0	0
-病变	3	32	119
-撕	67	334	2
-撒	378	647	133
-撑	79	88	47
-撞	176	339	40
-鼓风炉	0	1	0
-诱拐	10	6	9
-文教	17	76	2
-撙	14	2	4
-撤	51	32	16
-效法	0	3	1
-水晶石	37	11	2
-词曲	8	21	8
-鱼翅	46	76	157
-播	133	453	170
-撬	23	27	10
-撮	73	29	35
-咖啡茶	0	3	3
-撩	56	38	9
-困厄	0	0	1
-春分	9	4	0
-花粉管	3	0	0
-留情	0	2	8
-撵	9	6	3
-撷	26	93	6
-撰	32	31	49
-撼	28	49	7
-囔囔	0	0	1
-让步	6	6	0
-文锦渡	3	8	0
-理解	126	713	212
-鱼群	6	4	0
-擂	33	23	12
-擀	9	79	2
-百日咳	7	5	1
-擅	52	19	17
-革命化	1	0	1
-班费	1	3	3
-现钞	5	4	1
-揭露	1	6	2
-擎	63	239	52
-操	249	622	474
-擒	56	120	11
-科技兴农	4	2	0
-擐	4	2	0
-擗	14	2	6
-电文	0	3	0
-搭载	0	2	1
-擘	25	7	5
-擞	2	4	1
-生根	11	8	20
-谈心	1	17	13
-慈善家	0	1	6
-嘉士伯	7	0	1
-甲方	10	4	2
-方形	35	47	4
-擢	38	16	43
-电教	11	6	0
-擤	2	0	0
-土丘	0	0	1
-病句	2	2	4
-擦	129	296	39
-病史	2	6	3
-国别	18	23	1
-搭车	4	5	0
-核糖核酸	18	14	13
-病号	2	1	2
-诗文	10	465	36
-搏	82	215	77
-搌	0	1	2
-搋	0	0	1
-图典	0	160	0
-搅	66	56	17
-搂	13	6	13
-撤职	0	1	1
-摘要	2	17	38
-搀	32	1	3
-生来	7	5	6
-搁	28	12	63
-搞	173	423	21
-哪里	11	100	91
-搜	582	533	154
-国内	117	150	0
-搔	27	12	9
-搓	61	38	15
-摆设	0	4	3
-搐	15	20	17
-斗拱	2	0	7
-搬	59	77	3
-哑铃	14	11	7
-搭	153	207	97
-搪	37	18	7
-豫南	11	6	2
-评析	0	107	500
-国共	56	27	0
-国典	2	4	0
-搦	9	9	10
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-搠	11	1	3
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-甜枣	1	1	2
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-搡	0	2	5
-搽	10	79	0
-搿	2	0	0
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-摁	0	4	0
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-摞	4	6	3
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-摒	3	0	0
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-摹	37	36	13
-摸	112	70	25
-摺	7	6	7
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-斐	141	538	172
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-斑	772	2173	324
-星号	5	16	10
-斓	6	22	15
-斜	475	470	77
-阿伯丁	8	2	0
-谜底	2	3	10
-谷子	33	86	37
-斟	12	11	11
-弗吉尼亚州	2	3	1
-料	125	928	689
-斛	49	205	146
-文	3884	16288	8193
-珍重	5	2	4
-斌	23	449	3237
-无宁	0	1	0
-斋	196	946	772
-经常性	12	13	0
-新	17188	29805	3479
-於	110	79	9
-施	2576	1491	287
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-方	4439	4191	2677
-斧	77	215	279
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-斥	75	33	62
-斤	10	133	67
-救治	0	70	27
-光纤网	1	7	3
-斯	4854	49687	17807
-断	739	879	340
-斫	41	23	15
-痛切	1	1	0
-斩	273	244	167
-不破不立	0	1	0
-在世	1	4	0
-晋代	1	0	0
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-既定	4	1	0
-后车之鉴	0	0	1
-旗	256	1199	613
-土伦	15	4	0
-春卷	5	9	141
-固原	65	9	1
-在下	0	3	0
-阳离子	56	19	0
-旁	270	285	66
-小球藻	5	0	6
-旃	39	44	34
-痼习	0	1	0
-旅	387	1557	1694
-旄	19	10	33
-旆	7	51	31
-圣人	38	40	35
-旋	475	1184	190
-话旧	0	8	8
-在业	1	1	0
-族	99	1160	2368
-旎	1	9	10
-火成岩	10	7	3
-旰	4	13	11
-旱	229	171	33
-留成	0	7	11
-时	1154	3555	1323
-雁来红	1	1	0
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-旺	493	1916	1110
-商行	3	4	199
-无害	7	5	4
-铁证如山	1	0	2
-燕塞湖	1	1	1
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-无	5451	6182	141
-回国	3	29	1
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-旦	101	395	314
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-日	2237	5351	2242
-蒙古国	20	6	2
-早	672	1945	185
-旨	32	97	157
-荡秋千	0	1	10
-旯	3	7	2
-旭	213	1786	857
-旬	84	44	40
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-用材	0	7	2
-墨西哥湾	10	5	1
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-卢沟桥	11	5	1
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-攀	208	224	87
-国力	2	29	0
-政	206	1521	1209
-搬迁	4	34	3
-放	608	914	378
-谪居	2	1	0
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-改	289	866	196
-收	349	479	184
-有线电视	41	37	3
-攮	7	4	1
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-现钱	0	0	1
-攥	1	4	2
-漂洋过海	7	0	0
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-提高	171	685	512
-教	634	4189	917
-旅店	9	578	145
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-敝	57	34	52
-国势	1	0	1
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-救	233	703	102
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-效	60	1168	138
-敉	6	6	3
-敌	92	234	382
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-散	658	1057	4553
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-滞纳金	0	1	2
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-拯	19	50	39
-择	97	231	81
-拨	196	180	113
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-拦	89	54	10
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-拢	23	18	28
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-拶	9	2	8
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-拒	117	90	40
-拓	223	1185	148
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-调干	1	0	0
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-抡	17	18	12
-抠	23	24	3
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-抻	6	3	0
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-抿	6	5	2
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-抗	1147	1515	106
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-投	351	718	151
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-无怪	1	0	0
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-扬	688	1907	1153
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-连云港市	145	6	0
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-戒	191	353	465
-我	10768	10055	1435
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-后悔莫及	1	0	0
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-扫帚菜	1	0	3
-措	68	210	198
-掩	127	91	37
-推	584	601	125
-合格品	0	2	1
-掭	0	0	10
-掬	14	7	8
-掣	29	21	26
-探	373	2147	567
-留宿	1	2	0
-新机	0	11	10
-掠	77	88	54
-谢客	0	0	1
-文水	31	7	9
-控	172	2174	453
-接	293	1174	305
-掘	114	120	16
-易学	87	204	22
-喉舌	1	0	3
-放电	31	128	45
-爱丁堡	40	21	8
-内华达州	1	2	0
-掐	149	271	7
-排	644	1625	1121
-旧情	10	4	2
-圆台	1	4	1
-掖	34	26	45
-对比色	4	0	2
-园圃	5	1	0
-掉	108	300	52
-谵妄	3	1	7
-授	86	181	110
-新村	47	282	697
-放生	9	14	6
-掊	11	2	3
-文汇	22	31	0
-掌	550	1314	497
-掏	40	32	1
-掎	13	0	3
-春天	192	294	339
-文登市	41	2	0
-圆号	8	2	1
-长途汽车站	0	13	55
-掀	34	16	8
-厄立特里亚	11	3	2
-掂	11	12	4
-掇	65	40	28
-售货	1	7	3
-捷	633	2079	571
-捶	50	48	58
-分析语	0	1	0
-时序	23	13	6
-导尿管	1	0	0
-回填	7	2	3
-新月	98	75	39
-瓷杯	0	0	4
-旗手	1	2	7
-捻	71	76	38
-静摩擦力	1	0	1
-捺	9	9	9
-四壁	5	0	4
-诱惑	60	113	280
-捧	60	130	11
-调度	32	240	68
-换	408	1039	92
-新曹	2	0	0
-捣	88	74	14
-捡	62	39	3
-据	54	57	136
-集中化	2	0	1
-捭	5	7	1
-无愧	3	2	7
-管理科学	35	69	4
-留守	47	44	7
-捩	9	5	8
-囫囵	3	1	0
-捕	155	305	90
-善良	23	21	26
-捐	76	34	51
-损	105	336	157
-捞	68	190	56
-省政府	1	40	1
-想得开	1	2	2
-诊断	87	2124	408
-清凉山	18	7	4
-捅	7	15	0
-捆	32	32	7
-捂	18	8	5
-引以为荣	0	0	1
-捃	6	1	2
-高明市	1	0	0
-捎	12	11	3
-捏	86	59	18
-留客	6	1	5
-地产	121	540	0
-捉	141	238	28
-黑白分明	0	0	1
-四声	11	3	1
-捋	11	5	7
-挲	1	2	5
-断木	1	1	0
-璎珞	15	11	2
-男高音	1	11	11
-废塑料	5	3	0
-地主	14	63	0
-豫剧	7	16	2
-挺	95	228	201
-嗜睡	3	5	0
-留存	14	8	2
-挹	34	19	21
-相国寺	2	3	2
-龙泉窑	70	168	0
-挽	99	91	40
-挢	2	7	6
-挣	31	23	24
-挠	90	87	62
-挡	75	129	61
-旱育稀植	0	0	1
-深呼吸	2	12	0
-挤	103	111	14
-挥	55	79	46
-改用	0	2	0
-生手	1	7	2
-挪	34	59	13
-挫	35	34	30
-时常	0	2	0
-挨	99	23	14
-明子	17	45	25
-振	382	4978	681
-挑	175	136	63
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-效率	66	364	249
-时年	0	4	1
-挖	213	192	15
-新闻界	0	4	5
-在位	3	1	0
-挚	18	32	43
-挝	16	7	14
-挟	39	24	13
-挞	28	34	174
-瓦楞	16	14	5
-脑门儿	0	1	0
-昆山	853	225	28
-持	296	443	158
-挂	360	549	97
-运动量	0	1	0
-无意	7	4	2
-指	483	1040	364
-土偶	6	0	2
-挈	36	18	18
-施政	3	5	0
-按	253	165	62
-留学	129	456	60
-施放	2	7	0
-调式	2	31	14
-挎	9	5	1
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-惊	626	630	117
-疫区	0	2	1
-结核菌	0	1	0
-时尚	1156	1803	216
-放牧	13	21	4
-五倍子	14	2	1
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-司空见惯	0	1	0
-瑞签	0	1	0
-长命富贵	1	0	0
-情	1183	2739	1711
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-惚	2	9	3
-日常	147	422	21
-子弟兵	2	0	1
-惟	95	402	51
-惜	156	137	95
-惝	5	1	3
-惑	61	281	205
-引吭高歌	0	2	0
-惕	21	74	52
-惩	39	24	17
-惨	43	35	33
-惫	14	5	23
-城郊乡	3	1	1
-惭	64	14	21
-比萨饼	1	0	21
-无度	1	0	7
-惯	35	35	7
-晃动	3	1	1
-排水沟	2	1	2
-惮	22	4	29
-惠	1450	3915	1225
-惧	35	33	82
-惦	0	6	0
-惹	69	266	38
-咸鱼	115	47	29
-讲明	0	2	0
-惰	42	16	42
-明天	145	139	106
-无庸	2	0	1
-想	376	1912	319
-谈定	1	0	1
-放牛	19	5	5
-悌	9	36	77
-日工	0	2	0
-星团	6	13	50
-悉	45	59	44
-公安局长	8	4	4
-无序	11	8	6
-旺季	2	0	1
-悃	12	3	27
-悟	206	577	284
-明处	0	1	0
-悝	0	4	6
-悚	37	135	35
-悛	13	2	18
-悖	39	23	37
-王铜	0	6	0
-悔	48	43	94
-星图	7	9	22
-地保	0	3	0
-国嘉	3	4	2
-哭闹	0	4	0
-万马齐喑	1	0	0
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-还原剂	0	1	9
-悯	34	18	18
-您	22	299	30
-悫	13	13	41
-悦	418	2586	463
-悠	260	246	81
-患	36	215	153
-悼	56	69	24
-剩余产品	1	0	0
-量子论	0	0	3
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-悴	11	8	44
-礼泉县	8	1	0
-悱	9	6	6
-悲	240	200	96
-恂	9	14	61
-恃	28	16	17
-围困	6	4	4
-病例	7	137	17
-恁	12	3	7
-恋	513	1200	1284
-梅州市	148	5	0
-时宜	0	0	7
-瓦檐	1	0	0
-恍	11	14	9
-恒	1266	5007	978
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-恕	26	87	201
-恚	20	7	25
-斤斗	0	0	2
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-恝	4	0	2
-斡旋	4	4	1
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-恧	6	0	12
-恨	111	283	215
-恩	1245	6738	2903
-恭	132	408	364
-息	216	326	282
-恰	208	411	71
-无常	10	29	45
-鲁艺	2	6	3
-晕倒	2	3	0
-陈皮梅	1	0	1
-恶	588	719	273
-资溪县	6	0	0
-恸	14	15	21
-恻	21	8	36
-恺	60	291	244
-恽	87	40	27
-恼	11	29	36
-诗意	50	117	16
-恿	0	8	3
-疆土	0	3	0
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-怄	1	0	0
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-怂	9	8	8
-怃	3	0	5
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-怀	943	2484	873
-态	17	709	357
-诡怪	0	1	0
-怎	24	44	1
-怍	2	3	6
-怊	4	2	1
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-病体	0	2	1
-怖	17	10	30
-怕	133	297	109
-古丈县	7	0	0
-怔	4	6	15
-怒	209	265	207
-诚意	7	7	2
-豪侠	4	17	15
-斜晖	1	0	0
-特种兵	50	64	61
-思	990	6979	1526
-圆周	14	3	5
-怜	63	99	92
-怛	17	19	28
-怙	12	13	9
-鲜美	40	17	5
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-急	287	276	199
-语序	3	3	0
-怦	2	0	2
-性	579	10974	1844
-怠	53	23	46
-怡	480	1616	551
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-尼日利亚联邦共和国	0	1	0
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-怯	66	38	49
-场上	2	28	4
-怨	182	219	312
-怩	0	0	2
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-用户	137	260	62
-怪	507	983	686
-晚会	5	22	171
-中山市	1050	30	0
-怫	12	3	3
-怵	11	4	10
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-圣像	5	12	6
-商誉	5	6	4
-怼	6	1	10
-怿	4	10	48
-总	631	2192	74
-摔跤	22	37	50
-设施	71	1106	169
-注册地	0	0	1
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-无心	34	54	20
-懈	20	20	33
-懋	49	342	130
-猫儿眼	2	0	0
-懂	66	1466	95
-热电子	4	2	1
-详情	2	3	1
-围堵	1	7	1
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-国土	168	659	0
-鸡冠	59	40	11
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-处女地	0	0	2
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-漫画家	7	9	6
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-警灯	0	0	1
-困境	13	111	89
-咖喱粉	4	3	0
-誓言	13	5	48
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-运动神经	3	8	0
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-慑	26	9	30
-班规	0	1	1
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-不自量	0	0	1
-褐矮星	0	0	1
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-慈	615	786	358
-慊	12	12	4
-慌	22	53	38
-慎	173	464	191
-慰	40	154	79
-出血病	0	1	4
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-慷	10	24	11
-慵	12	13	18
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-在内	0	3	1
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-未雨绸缪	2	0	1
-慧	544	2381	1197
-疲劳	62	152	66
-救灾	11	114	5
-围城	42	34	35
-论文	59	954	143
-判断句	0	1	0
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-商议	1	0	2
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-鲁菜	27	8	9
-早市	2	1	5
-感	343	842	442
-在先	1	2	6
-防晒霜	1	0	14
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-愚	159	164	280
-病假	3	0	2
-愆	54	8	46
-鲜肉	101	158	12
-愀	8	6	2
-愁	81	223	186
-早已	1	7	0
-团委	2	46	27
-愍	25	38	26
-围垦	3	10	22
-愎	7	2	23
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-意	780	1524	799
-花枝招展	1	0	0
-无异	1	1	0
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-鲁莽	12	1	2
-坂下	7	1	0
-许昌	261	19	2
-所有权证	0	0	4
-断面图	0	0	9
-愿	128	317	254
-疆域	2	18	10
-早川	26	20	1
-涅瓦河	1	1	0
-五保户	0	1	1
-愦	7	5	14
-愧	60	8	35
-愤	80	27	86
-真分数	2	0	1
-愣	23	19	15
-玉镯	3	2	32
-时局	1	1	0
-珍贵	20	52	5
-解说词	0	7	7
-愫	5	9	15
-游	1756	3686	1223
-晋国	16	13	4
-渺	26	31	40
-青菜头	0	0	6
-筒子楼	1	0	1
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-支票	23	27	31
-渲	6	16	18
-攀缘	7	0	0
-渴	56	34	42
-斗法	6	7	11
-温	2709	1990	405
-用水	9	137	44
-喜爱	8	196	6
-渫	11	8	10
-哲学家	26	44	24
-甜润	0	3	0
-港	560	2856	1302
-俄亥俄	31	13	1
-渠	180	386	304
-病夫	1	1	3
-渡	236	1426	303
-渣	79	380	127
-善用	7	8	2
-家族式	3	0	0
-渚	24	258	109
-文曲星	90	2	0
-渝	296	426	179
-界标	0	0	2
-渑	7	3	2
-渐	129	170	97
-喷漆	12	20	10
-渗	126	312	42
-渔	424	483	123
-渊	179	470	570
-嘴快	1	0	1
-一鸣惊人	1	0	6
-保育员	7	1	5
-渌	40	37	22
-明年	9	9	4
-渍	32	187	37
-石钟乳	1	1	0
-芜湖市	352	13	0
-干什么	0	1	0
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-湾	263	4556	2018
-鹿泉市	11	0	0
-梅花鹿	11	9	11
-绝对数	9	0	0
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-疑心	3	0	0
-曲棍球	14	39	32
-电视电话会议	0	4	0
-攻破	0	1	0
-球迷	12	45	9
-敬爱	3	4	5
-疏忽	4	1	3
-湫	37	46	35
-冶金学	1	25	18
-春寒	2	4	5
-阿昌族	16	4	1
-湟	50	43	8
-暗中	4	4	0
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-球速	0	2	0
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-湖	808	5882	3007
-湔	23	8	3
-貂婵	0	0	1
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-湃	3	27	20
-溱	38	17	23
-溲	16	89	17
-溴	350	978	42
-溶	215	622	107
-斧正	0	0	1
-溷	36	3	29
-嚎啕	1	1	0
-品质	91	193	86
-付款人	0	0	4
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-界桩	0	4	4
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-溢	170	384	146
-溥	103	129	149
-溧	14	16	3
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-溪	507	5867	1049
-溯	46	64	22
-旖旎	8	4	5
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-芬兰共和国	4	0	0
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-囊中	4	1	2
-溜	177	525	150
-溃	57	48	54
-鱼藤	9	5	32
-景区	36	154	2450
-风味菜	1	9	15
-溆	4	8	12
-溅	19	100	7
-用法	0	105	0
-溉	8	15	19
-溏	21	14	8
-痴呆	5	47	52
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-滥	73	23	55
-滤	135	868	43
-滦	61	35	5
-满	676	1583	574
-滠	8	1	2
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-语法	67	1234	461
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-滔	26	69	113
-病毒学	5	16	12
-滕	705	447	142
-临阵磨枪	8	0	1
-滓	17	5	21
-滑	618	1134	121
-滞	123	236	128
-滟	7	29	22
-噱头	1	3	1
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-经贸委	0	3	5
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-晒图	2	2	1
-智利	164	42	9
-果汁机	1	1	4
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-滋	226	361	211
-晋城	124	41	7
-漪	15	54	96
-漫	476	2077	282
-撒赖	1	0	0
-漭	14	0	18
-光彩夺目	0	1	0
-象征	27	63	36
-聚酯纤维	5	3	0
-瘪三	0	1	2
-漾	56	143	50
-优惠待遇	0	0	1
-鲜艳	3	4	4
-漳	160	121	24
-漱	43	140	20
-认识论	3	27	23
-漶	3	0	8
-普及	12	287	5
-用活	2	3	0
-组织生活	1	1	1
-漉	10	16	16
-启齿	0	0	2
-漏	212	404	257
-漂	166	139	110
-鱼虫	0	18	4
-说法	9	95	78
-漆	351	1119	931
-天王星	15	4	3
-拉萨河	2	2	0
-漓	16	23	20
-风暴潮	6	6	3
-黄牌警告	0	2	0
-演	132	318	175
-载重量	3	0	6
-玉龙	135	107	94
-潮	455	951	696
-潭	212	1063	309
-敬献	0	0	1
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-潢	70	33	33
-球部	0	3	2
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-整版	3	20	3
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-瓜皮	35	109	69
-潲	6	1	1
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-无故	3	5	0
-喷灌	17	19	5
-智力	198	619	47
-潋	12	16	7
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-无敌	455	1753	0
-象形	37	20	4
-潆	16	5	9
-潇	165	174	92
-暗伤	1	0	3
-无效	56	29	23
-潜	703	777	170
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-潘	4732	793	183
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-澡	20	38	37
-东帝汶	20	4	0
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-澧	95	66	25
-新款	65	20	0
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-国境线	0	2	5
-龙山县	12	1	0
-视而不见	1	1	0
-收税	1	1	1
-澳	435	858	65
-旅检	0	1	0
-澶	11	3	1
-咖啡豆	4	0	10
-城郊型	1	0	0
-貉子	7	0	1
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-澉	9	0	2
-澈	21	46	89
-澍	12	92	131
-澌	10	1	16
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-澎	48	64	64
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-生漆	0	1	3
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-濯	45	50	33
-文火	1	1	3
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-濂	34	62	146
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-濒	12	8	9
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-氟	565	1997	31
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-氘	16	2	9
-氕	1	0	0
-气	1010	2973	941
-谕旨	0	1	3
-氓	18	6	41
-警笛	1	1	4
-民	597	2748	4901
-断案	2	13	14
-氐	23	39	9
-器官	41	100	84
-氏	26	8538	1160
-氍	4	3	1
-旨意	0	2	4
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-文法	6	81	62
-词源	1	11	3
-氅	2	7	21
-嘈杂	0	0	1
-嘉木	14	9	3
-氽	62	75	3
-文治	9	22	59
-永	3042	9418	828
-二把手	3	0	1
-水	5322	16303	3518
-水月庵	2	0	0
-放疗	1	8	9
-氲	6	13	7
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-氮	98	618	109
-氯	544	1812	248
-氨	332	1837	43
-氩	22	39	6
-氪	15	17	5
-方铅矿	1	0	0
-昨天	24	20	30
-调查	67	1333	705
-留根	0	1	9
-氦	41	21	4
-氧	210	3014	85
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-氡	18	29	5
-氢	380	916	73
-汛	13	49	37
-琴谱	3	9	31
-论点	1	37	3
-江	4187	7627	2583
-汞	45	115	82
-汝	290	1376	63
-汜	16	10	15
-该死	1	0	1
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-外在性	0	0	1
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-汗	170	662	464
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-汕	93	41	21
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-汉	3896	7519	1295
-求	282	740	327
-鸣叫	3	2	1
-汁	32	3747	1465
-电泵	0	12	17
-汆	55	111	4
-汇	808	3270	750
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-嘱托	1	0	1
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-收益	57	235	122
-收监	1	0	0
-汰	13	49	57
-汲	84	68	29
-响起	0	1	9
-汴	72	50	6
-汶	323	547	101
-课桌	4	5	5
-藏红花	23	4	1
-汪	3771	345	31
-电波	60	40	17
-悔不当初	0	0	2
-池	620	1190	959
-污	119	252	74
-汤	2953	2321	23608
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-沔	68	30	12
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-沓	35	19	49
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-沐	240	356	103
-协作网	0	0	9
-沟	285	3751	744
-沛	75	440	262
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-沙	3718	6150	1048
-瓦盆	1	1	1
-沅	101	121	108
-沃	1362	3389	352
-沂	154	121	99
-沁	290	391	93
-显圣	4	7	3
-沏	1	4	3
-四中	4	38	414
-敦煌	418	165	27
-沌	11	25	6
-电流	106	352	4
-沉	201	317	146
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-北回归线	11	15	4
-沽	60	245	29
-沾	127	101	44
-沿	193	256	36
-收看	0	6	1
-沸	69	119	61
-油	1744	4313	1875
-治	442	3388	1234
-畲族	34	137	0
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-沥	67	196	41
-沤	25	19	11
-没	431	533	127
-沣	46	62	36
-四不	0	2	0
-沭	16	82	5
-海参崴	3	1	3
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-沩	25	15	1
-病害	4	106	19
-鲜菜	6	10	7
-沪	315	520	41
-泓	59	356	171
-泐	12	11	15
-领事馆	0	31	43
-泖	8	8	3
-斗殴	1	9	3
-泗	447	294	73
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-法	2629	10053	14603
-泛	661	482	66
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-旱情	0	5	0
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-弥天大谎	0	0	4
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-聪明伶俐	1	1	0
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-泅	8	3	4
-泄	117	185	94
-日戳	0	0	5
-泊	195	800	158
-效用	13	38	28
-泉	524	3933	2938
-撞见	0	8	1
-泰	2449	10459	1324
-谋杀	84	60	64
-泳	22	210	142
-泵	84	1033	1418
-泷	120	57	23
-文本文件	1	0	1
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-泺	20	12	9
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-泻	126	303	109
-泼	108	192	23
-泽	802	5144	1565
-泡	682	1567	307
-哀辞	0	0	8
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-泠	24	94	37
-泣	78	149	107
-波	2746	6158	3869
-泥	572	1483	703
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-一体式	26	8	0
-注	164	819	766
-泫	19	8	11
-泪	159	279	510
-一无是处	0	1	2
-泯	24	18	29
-泮	74	92	73
-洌	3	0	10
-鸾凤	15	12	4
-洎	3	5	7
-擒获	1	0	0
-生火	0	4	5
-洋	672	2108	785
-安科纳	5	1	0
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-洄	43	27	20
-人造革	2	9	1
-触手可及	1	5	1
-洇	7	1	1
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-洁	242	2310	789
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-洙	22	39	190
-舞蹈病	0	1	9
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-洚	4	2	0
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-洗	574	1100	322
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-生灵	7	10	33
-旧房	2	2	0
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-洒	216	247	57
-洪	2624	3917	1322
-洫	3	2	5
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-洧	11	13	9
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-津	600	1778	464
-漆黑一团	0	0	1
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-派	475	2309	1994
-洽	76	118	132
-洼	108	721	69
-活	951	2402	373
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-洵	14	39	88
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-测	332	1774	308
-浍	13	4	11
-济	508	2173	457
-流	965	2927	2067
-浃	24	12	31
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-浆	85	635	310
-皮影戏	2	7	55
-浇	165	194	27
-浙	418	378	22
-浚	136	117	142
-浜	31	160	36
-浞	4	7	3
-浑	165	99	81
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-浒	48	76	29
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-浯	55	37	2
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-海	6160	15978	4584
-浴	106	1376	404
-涅	228	1129	167
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-涌	113	509	245
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-消	630	1613	223
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-涔	10	16	16
-涕	32	18	46
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-涑	6	8	3
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-涝	31	43	16
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-涛	39	670	2248
-涧	97	399	132
-润	568	4054	568
-茶毛虫	2	0	0
-涤	43	190	57
-鸿利	6	24	3
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-旌旗	8	10	4
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-涠	14	15	0
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-涯	27	82	102
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-涫	4	8	3
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-涩	106	129	85
-涨	70	127	71
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-淇	80	162	176
-哈达	71	74	24
-淋	128	398	107
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-淌	18	56	4
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-游艺机	1	4	1
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-摧枯拉朽	0	1	0
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-淖	19	170	28
-淘	992	745	133
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-晚唐	15	13	1
-镀锌铁	3	1	1
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-淞	54	129	44
-偷车贼	1	1	5
-淡	453	315	98
-淠	12	9	2
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-淦	30	72	129
-淤	53	53	23
-淫	234	100	94
-光盘版	0	4	4
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-淮	745	792	243
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-深	1239	1446	715
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-混	520	702	64
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-淹	153	83	40
-简单易行	1	4	0
-橱	6	15	20
-火狐狸	2	1	1
-微生物	208	287	109
-由来	0	27	41
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-橥	0	1	2
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-歇	118	609	105
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-歌	529	2462	2864
-歉	10	5	13
-扮演者	0	3	1
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-撒野	1	0	6
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-和顺	35	29	10
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-鸡场	19	7	3
-歙	21	17	14
-劳动节	1	3	10
-支线	9	19	55
-欢	155	366	446
-欣	362	1918	1148
-欠	109	107	31
-次	670	1110	405
-欧	3298	2996	369
-欤	0	2	2
-电枢	5	1	0
-施洞	2	0	0
-文玩	13	14	6
-田根	2	1	1
-欲	187	561	178
-欷	5	2	12
-手拉手	11	10	0
-欺	88	49	48
-欹	25	4	8
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-款	123	422	269
-班轮	15	9	2
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-毫	77	114	168
-毪	1	0	0
-无耻之徒	2	0	0
-宁河县	31	8	0
-毡	67	60	100
-油橄榄	10	6	1
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-教程	2	5653	17694
-毹	0	3	3
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-撤退	3	5	14
-电桥	5	11	0
-毵	3	4	4
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-毳	33	7	20
-母	305	1276	887
-每	159	233	17
-毋	92	44	4
-毅	48	923	1101
-鲜蛋	2	6	1
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-毁	122	188	107
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-毂	14	45	73
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-毙	7	12	41
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-毛	4525	4885	493
-比	1877	7209	1601
-毕	1352	370	53
-毖	8	9	11
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-毒	474	1553	379
-毓	76	853	91
-殪	3	2	2
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-殿	108	1014	749
-殳	22	1	14
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-殴	27	49	16
-段	2122	619	518
-殉	26	27	17
-残	397	586	122
-殊	178	213	105
-殍	3	1	3
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-殁	10	8	24
-殃	12	31	45
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-殇	45	174	326
-统计员	2	3	2
-殆	8	3	25
-旅法	37	6	0
-殛	5	2	11
-病因	8	18	7
-球赛	0	4	11
-淋浴器	1	0	9
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-殓	7	2	9
-新潮	49	51	21
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-桓	175	176	182
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-桐	882	692	613
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-桕	8	4	1
-桔	150	213	199
-痛哭	1	0	5
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-桂	1306	3681	901
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-桃	843	906	667
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-桀	51	25	43
-框	39	154	99
-桄	13	12	12
-桅	16	63	20
-桊	0	1	1
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-新民	162	79	137
-案	157	1527	1992
-塞罕坝	7	0	1
-星火计划	1	4	2
-桌	79	180	151
-警监	0	0	6
-画框	4	0	6
-生殖	148	366	44
-瓦特	33	83	49
-桴	7	13	16
-桷	3	36	19
-桶	70	206	161
-甘汞	1	0	0
-桢	23	107	348
-档	16	211	229
-调控	7	223	115
-桤	24	42	3
-教皇	38	6	18
-旗杆	13	4	16
-桥	489	5750	3878
-日斑	1	1	0
-桦	98	121	271
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-桧	51	29	51
-日文	7	73	0
-桨	39	75	34
-桩	81	287	241
-旋梯	3	2	1
-栗	743	554	215
-栖	302	565	101
-诈欺	10	2	1
-食文化	0	13	6
-栓	34	172	259
-树	644	5673	3113
-历史唯物主义	13	9	8
-栝	38	54	8
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-分隔符	0	1	4
-电棒	1	1	10
-生死	357	266	25
-瓦片	15	8	8
-标	301	2412	1092
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-栅	64	237	156
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-栀	16	71	5
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-栏	26	188	109
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-栌	5	16	14
-栊	5	8	15
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-栋	57	292	952
-栈	45	102	89
-写实主义	3	3	8
-栉	102	156	29
-样	60	820	427
-谎报	1	6	0
-栳	0	20	7
-降落伞	13	9	15
-栽	42	80	21
-格	4467	14507	3008
-电梯	235	304	91
-栾	451	68	28
-根	530	4763	3284
-核	728	1759	371
-请教	2	1	0
-校	415	2109	590
-断气	3	0	2
-早操	1	2	2
-乐善好施	1	0	1
-穿针引线	1	0	0
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-低音提琴	6	1	3
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-鸟声	1	0	0
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-棘	301	718	104
-职工股	0	0	2
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-棒	358	991	868
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-吉隆坡	42	8	0
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-棋	165	473	665
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-棉	266	1151	324
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-棍	29	148	334
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-检	210	728	225
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-棰	22	12	15
-棱	124	578	116
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-棵	9	106	34
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-森	939	5705	4706
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-梨	404	1166	576
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-梦	1493	4571	1938
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-楂	23	40	17
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-楗	7	4	12
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-楦	5	9	8
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-楫	4	14	98
-楮	69	19	34
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-椹	11	128	9
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-日本	4126	2233	181
-槌	34	48	76
-槎	46	82	69
-槁	20	23	18
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-槠	7	1	12
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-槿	11	70	53
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-槽	131	653	399
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-说来	5	0	1
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-图们	50	8	0
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-瓜瓤	2	4	7
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-山楂果	6	2	1
-榨	37	104	6
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-舞狮队	0	0	1
-固体	317	236	24
-四化	4	3	9
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-早晚	4	4	3
-榻	19	34	74
-调整	70	675	158
-榷	58	11	22
-早晨	11	40	63
-旭日	63	142	18
-凸面镜	1	0	1
-榱	4	8	5
-地方志	7	115	8
-瞒	22	26	17
-调节价	0	0	1
-见义勇为	5	51	0
-杂交育种	1	0	3
-瓦工	1	5	3
-支持	49	396	60
-大茴香	3	0	1
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-掉队	1	0	0
-瞟	6	0	0
-瞀	19	2	20
-方剂	28	78	13
-瞄	6	13	2
-瞅	7	2	2
-教工	6	36	1
-桂皮树	0	1	1
-集团型	1	1	0
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-瞍	0	1	2
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-瞎	76	36	13
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-瞰	17	13	9
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-瞵	5	4	3
-新华	433	635	0
-瞻	104	188	106
-画卷	0	8	34
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-瞿	478	61	14
-瞽	35	17	15
-嘉庆	28	71	12
-瞢	3	2	4
-测试仪	0	50	1815
-新区	11	694	373
-滑翔伞	2	2	1
-瞧	32	13	17
-咒语	14	17	57
-瞥	17	6	23
-瞪	19	46	8
-石嘴山市	48	4	0
-出租人	1	1	1
-沙漠地	2	1	0
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-输送带	10	26	64
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-不可逆转	0	1	1
-数学	1099	4820	1461
-矜	143	34	45
-矛	64	89	140
-革命性	1	5	0
-说唱	20	60	0
-料器	1	4	24
-售票	3	11	8
-生土	3	5	2
-喜气	2	0	1
-白花蛇	45	12	1
-中国科学院	780	109	0
-斑块	18	6	18
-数字	1988	2257	318
-放慢	6	4	0
-矶	66	133	48
-沙特阿拉伯	24	5	5
-石	7116	8389	3706
-断句	1	1	2
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-集中度	0	5	9
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-四平市	80	2	0
-设定	10	42	14
-知	728	2811	509
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-矣	66	81	45
-矮	491	384	10
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-排错	0	0	2
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-矩	66	201	210
-旗人	4	6	0
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-眙	8	1	11
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-眚	10	1	24
-水族馆	6	11	64
-真	2144	7860	1346
-眉	190	811	383
-眈	7	3	5
-看	1075	3067	1383
-眍	3	0	0
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-眇	54	6	36
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-吸附	68	88	45
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-眵	1	1	3
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-眩	51	112	40
-掏钱	0	1	0
-眨	4	7	1
-眯	20	30	9
-舞蹈诗	0	0	1
-眭	36	0	0
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-眢	4	1	1
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-眦	11	38	20
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-睛	21	180	99
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-睐	0	7	13
-睑	34	54	10
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-男双	0	3	0
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-诸君	0	10	8
-睇	10	8	33
-睁	30	14	9
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-着	145	1587	342
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-喘气	1	1	1
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-睽	27	1	8
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-谈判	105	370	208
-睹	14	14	19
-故态	2	0	2
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-量子场论	1	2	7
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-睥	13	3	2
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-睢	128	38	13
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-皇	761	1846	465
-的	95	173993	1455
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-皮	2101	6439	1420
-皱	190	280	83
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-盟	39	757	384
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-直	1127	1815	543
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-盼	37	51	65
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-瘁	2	2	37
-理睬	1	0	1
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-瘅	8	3	10
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-瘙	9	33	1
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-整天	0	0	1
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-琥珀	220	153	26
-山楂片	0	0	2
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-瘩	1	1	3
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-瘫	10	51	26
-瘪	13	10	7
-瘭	1	1	0
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-瘠	37	8	44
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-瘥	4	1	7
-瘤	135	551	917
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-瘸	1	2	4
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-周转	21	77	5
-瘼	0	0	12
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-瘿	32	118	23
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-瘳	5	0	6
-电动	777	734	1
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-白	10451	7003	1318
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-癸	49	144	17
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-登	798	3517	861
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-疱	14	62	8
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-疽	1	27	96
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-疠	26	3	19
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-疑	188	365	203
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-穰	19	33	26
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-稳	163	424	191
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-窑	179	2958	492
-窗	119	529	503
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-窄	225	80	25
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-拖斗	0	2	0
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-捻军	4	0	0
-热固性	14	5	0
-拉杂	1	0	0
-拉杆	15	20	8
-便车	0	1	0
-犀鸟	3	1	64
-保证	38	136	58
-担架	0	2	9
-余庆县	338	61	0
-抹香鲸	2	2	9
-介绍所	0	1	9
-肉联厂	0	1	3
-觇	27	1	7
-视	454	2383	368
-觅	68	105	28
-轮子	8	8	10
-规	163	565	425
-眼花缭乱	0	0	2
-观	796	2410	1212
-信访	35	241	6
-见	369	1826	675
-觏	6	2	11
-觎	0	0	7
-抗涝	0	1	0
-近作	0	8	2
-觌	3	8	16
-觋	1	1	3
-觉	181	1222	290
-览	34	155	319
-觖	5	0	3
-角	791	2968	1185
-觐	9	50	31
-排位	0	0	1
-觑	14	2	21
-遮光片	0	0	2
-觞	28	22	100
-招数	0	2	5
-觜	5	4	12
-通山县	10	2	0
-觚	20	16	162
-成年人	18	5	1
-公寓	32	687	2454
-全局	32	12	5
-触	250	321	86
-解	1295	3494	2879
-近似	17	15	21
-觯	1	0	21
-还乡	9	7	0
-这么	25	296	0
-觫	1	3	5
-运作	13	324	124
-免征	4	13	1
-轿夫	0	0	1
-靠不住	3	7	2
-树脂酸	2	0	0
-公家	6	10	0
-觳	15	11	7
-免役	2	0	0
-跌跤	1	0	1
-车尾	2	2	0
-山羊皮	2	5	1
-公害	6	6	7
-褊	43	2	14
-致命伤	0	0	2
-冲动	20	11	18
-猎豹	35	31	16
-褂	0	18	24
-转子	51	103	30
-俏货	1	1	0
-褛	1	2	6
-褚	497	71	11
-挂念	1	1	1
-敲门砖	25	5	2
-褙	4	3	4
-佩饰	1	6	28
-黎平县	4	2	0
-转学	2	1	0
-闪光灯	10	18	13
-连接器	10	30	171
-褓	5	2	3
-褒	55	50	32
-褐	578	621	66
-线速度	3	0	3
-冲力	1	1	0
-这个	123	119	4
-南通市	238	36	0
-褪	22	48	3
-黄斑	95	56	1
-侧重	1	2	0
-冷凝	41	20	3
-拄杖	0	2	1
-桐城市	135	5	0
-抽样	34	52	68
-褰	10	15	3
-兼备	0	8	7
-减价	2	3	3
-褶	59	209	55
-自卫队	1	70	11
-化学当量	0	0	1
-襄	195	255	129
-离婚证	0	1	0
-李岚清	7	2	0
-运价	3	16	14
-基诺族	16	5	1
-作鬼	0	2	0
-襟	57	55	76
-襞	11	10	14
-公子	64	70	196
-抗洪	8	11	2
-辣味	177	122	0
-闪光点	0	0	1
-近代	595	818	7
-手癣	1	0	2
-公孙	126	19	5
-拱手	11	5	1
-俚语	1	14	13
-近人	0	1	1
-返乡	7	14	6
-襦	13	16	17
-伦理学	49	199	157
-近亲	14	2	2
-养女	7	9	5
-减低	0	5	1
-西	9052	15837	1716
-光彩	28	76	20
-黄教	6	0	1
-襻	5	3	3
-兖州	113	16	4
-光影	105	97	23
-全家	28	17	13
-抚河	9	4	0
-八字	70	24	17
-充当	0	2	0
-袒	27	8	20
-才略	1	2	1
-批准书	0	2	1
-投河	2	0	0
-有时候	1	1	0
-袖	63	121	133
-鹰潭	67	9	0
-红帽子	6	2	0
-袜	26	91	156
-入学	91	663	11
-捷克	122	30	13
-换取	0	2	0
-袁	3931	320	23
-塞尔维亚共和国	2	0	0
-新大陆	17	25	0
-袂	5	20	53
-袄	6	25	23
-减产	0	1	0
-袋	116	700	550
-挂彩	0	0	2
-袍	45	78	209
-拒收	1	0	1
-轻声	7	0	0
-转嫁	5	0	5
-袱	0	4	13
-冲击	167	389	100
-袷	9	36	5
-潭柘寺	5	2	1
-儒教	13	12	4
-军品	6	6	2
-袼	3	15	0
-边关	7	6	8
-袢	5	10	15
-冻僵	1	0	0
-掉价	0	1	0
-袤	3	9	13
-被	839	946	157
-招揽	1	1	0
-袭	97	260	282
-裔	25	103	129
-裕	317	1755	494
-齐名	1	0	1
-内城	3	2	4
-裒	32	6	12
-瓦匠	1	1	2
-邗江县	3	0	0
-贵阳市	500	7	1
-佳音	5	19	27
-裟	3	5	2
-裘	321	106	160
-俗话	3	1	1
-裙	61	142	269
-冻儿	1	0	1
-冷冻	147	188	11
-换向	11	36	1
-装	217	2125	855
-指引	4	89	330
-足迹	17	73	135
-裁	143	203	108
-打瓜	4	0	1
-裂	358	916	235
-车子	6	6	7
-军售	1	2	1
-无话可说	1	0	0
-裎	0	8	5
-裉	1	4	0
-俗语	18	39	18
-信誉	14	30	10
-冲刺	47	632	114
-献血	8	35	5
-裴	1097	157	27
-减人	0	0	2
-拥挤	16	17	7
-裳	18	250	138
-裰	0	15	0
-裱	39	47	10
-裾	5	19	44
-裼	4	15	9
-超长	25	13	0
-冲刷	7	6	14
-近乎	5	2	0
-傲然	4	4	2
-裸	410	369	10
-裹	69	135	39
-招摇	2	0	1
-裤	24	66	190
-寄信人	0	0	4
-裣	1	6	0
-裢	2	5	3
-抽查	1	16	2
-副县级	1	0	0
-入室	4	8	7
-冲剂	1	13	318
-入射角	0	0	1
-入定	2	2	3
-独辫	1	0	0
-冷僻	1	0	0
-走南闯北	1	0	0
-蠛	2	5	1
-凌乱	15	5	3
-关头	3	5	12
-蠓	6	15	12
-珐琅	64	698	25
-捞取	0	1	0
-收购价	0	7	1
-赛马	31	72	39
-蠖	9	14	9
-修补	13	142	9
-蠊	2	28	40
-近东	3	7	3
-允当	1	1	0
-小吃店	1	6	16
-珍禽异兽	0	0	2
-鸡蛋壳	1	1	1
-蠃	3	0	7
-轴套	5	5	7
-凉亭	14	13	7
-鸡皮疙瘩	11	8	1
-打球	1	3	6
-冰冷	22	9	1
-挪威	220	35	8
-反客为主	1	0	0
-蠼	4	12	1
-关外	6	2	2
-蠲	104	9	11
-冰冻	90	29	3
-授予	5	57	1
-锡山市	1	0	0
-兵士	1	2	1
-拦截	19	39	13
-玉米	1040	1063	238
-低年级	1	9	14
-蠢	66	31	17
-冰凌	17	7	9
-冠县	71	18	0
-抗毁	1	1	0
-蠡	103	103	27
-修行	19	79	43
-冰凉	20	3	1
-忍不住	1	6	1
-运七	0	3	0
-衔	155	179	89
-培训班	1	23	38
-街	286	3721	2251
-银行界	0	1	0
-冠名	5	5	3
-催熟	1	1	1
-行	1074	4794	3024
-莱芜市	90	8	0
-衍	89	531	252
-冷光	20	4	3
-具备	0	35	2
-衄	8	20	26
-衅	39	18	64
-拥抱	77	41	56
-血	1557	3739	811
-侃大山	0	0	3
-拨打	2	0	0
-鹿泉	18	5	2
-光度	18	72	6
-净值	3	14	50
-兴头	1	1	0
-衿	27	23	34
-衾	29	26	50
-衽	14	8	19
-内在	13	24	0
-赶集	7	9	2
-尽心尽力	1	0	0
-鹿角菜	6	1	4
-拥护	3	3	0
-内地	30	73	1
-光年	5	15	34
-衲	13	15	29
-接线柱	0	1	0
-衰	179	180	111
-合订本	0	49	93
-衮	37	30	74
-体魄	1	1	0
-冰刀	5	0	1
-衬	96	239	45
-后来者	1	1	0
-衫	29	197	195
-跷跷板	9	1	16
-冲凉	1	0	1
-兴奋	13	32	12
-表	369	855	2784
-奥克兰	78	12	1
-衩	5	5	5
-兄弟	217	589	543
-补	863	1743	318
-公婆	5	1	4
-衣	441	1672	1114
-手电	1	1	27
-归属感	2	0	3
-衡	352	581	684
-讥	56	14	36
-认	145	505	55
-讧	10	3	2
-太空服	0	0	2
-体验	302	505	201
-讦	38	1	35
-达县	51	16	28
-计	390	729	1807
-订	77	162	56
-载客	2	11	0
-拘束	6	1	0
-训	165	3001	2442
-挠度	4	4	3
-讯	154	1518	206
-议	128	225	323
-元年	0	23	46
-让	2128	1785	448
-挥师	1	1	0
-讨	206	79	46
-讫	21	5	13
-房租	0	2	1
-托盘	32	46	91
-讵	9	2	1
-记	188	3158	6326
-讲	315	2172	1490
-讳	37	10	58
-讼	64	28	77
-推举	1	0	1
-准予	1	1	0
-讽	60	39	40
-设	200	202	107
-成群	6	0	19
-访	138	288	117
-讹	70	19	47
-论	1037	4166	5988
-车床	18	134	86
-折射率	1	5	9
-军号	1	0	4
-战线	4	41	60
-共处	0	3	5
-所有格	0	0	3
-车库	22	32	29
-迎击	1	3	1
-车底	8	7	1
-珍珠	590	592	177
-农友	4	5	1
-诡	252	123	74
-有限公司	2	1833	173804
-诣	22	26	38
-询	51	254	68
-该	153	328	38
-过剩	16	24	18
-诤	20	11	24
-冷傲	8	2	0
-玉簪	23	23	30
-详	123	158	87
-诩	6	26	42
-探伤	13	111	19
-跌进	1	0	0
-九年制	2	39	0
-黑户	0	1	1
-语	212	5937	3100
-诬	84	6	41
-求真务实	2	0	0
-误	137	192	125
-诮	25	12	30
-黑手	13	4	12
-诱	115	107	65
-诲	40	22	69
-倘若	6	0	0
-诳	43	14	15
-戏耍	0	2	0
-说	690	4570	1933
-诵	43	111	98
-珊瑚	256	310	298
-诶	6	3	1
-请	397	402	102
-农口	1	0	0
-诸	617	654	48
-诹	44	13	10
-诺	1602	9310	2085
-损坏	1	20	5
-读	1061	4517	833
-战绩	0	3	5
-诼	2	4	1
-侮辱	5	15	1
-课	152	2652	1543
-先师	2	4	5
-教导员	0	0	1
-诿	15	4	1
-诃	60	263	28
-光带	0	2	6
-诂	5	12	35
-证	122	1333	1258
-诀	15	102	478
-理发厅	0	0	1
-识	253	1516	365
-评	93	540	434
-维吾尔	25	305	3
-内因	12	6	3
-诊	27	250	96
-诉	113	186	85
-诈	108	48	84
-诏	122	137	186
-诎	29	16	19
-词	232	1481	1302
-诌	6	3	0
-跑车	10	40	67
-诒	16	74	39
-诓	13	12	5
-译	205	1172	431
-轿子	9	6	7
-诖	6	5	0
-拐棍	4	0	2
-诗	845	4132	1840
-诔	6	6	16
-闭路电视	5	1	0
-试	227	921	140
-诚	265	2749	1170
-诙	18	24	3
-超额	32	12	0
-诜	6	27	22
-话	318	1252	1382
-打盹	1	0	0
-典型	151	1396	13
-违例	0	0	21
-色拉油	2	0	3
-謦	4	5	3
-农区	4	27	2
-八大	108	187	0
-军医	4	84	6
-生理盐水	1	0	0
-修正案	0	40	33
-水豆腐	2	3	22
-精神病	37	132	55
-总流量	0	0	1
-拼抢	0	0	1
-农协	0	3	1
-净价	4	3	0
-拿手	13	28	0
-謇	19	23	23
-达卡	8	41	13
-举世瞩目	1	0	0
-还债	2	3	0
-江阴市	374	7	0
-元帅	28	90	86
-农经站	0	0	1
-小口径	31	15	0
-鸟瞰	15	10	2
-探井	2	1	5
-独身	5	4	1
-进修	2	379	5
-服务站	0	2	55
-曲艺团	0	1	16
-拉森	15	23	28
-扬琴	23	15	11
-打眼	4	0	3
-捉奸	4	3	1
-警	254	633	276
-过分	3	9	0
-探亲	3	13	3
-扣留	0	3	1
-偷盗	4	6	2
-默想	1	1	5
-家庭式	3	6	0
-锦标赛	1	75	530
-中华民国	122	21	3
-兜子	0	0	2
-偷看	7	6	1
-戴月披星	0	1	0
-意味着	0	9	0
-珍玩	0	3	2
-连作	1	1	1
-车工	99	90	13
-民心所向	1	0	0
-余香	2	3	0
-辽南	19	3	0
-连体	31	55	13
-拙朴	0	1	0
-鸡眼	12	11	1
-迈出	0	2	0
-农历	13	11	2
-自惭形秽	0	0	2
-黄花岗	20	11	1
-进位	6	10	4
-成约	0	1	1
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-连任	0	2	0
-网络化	37	44	7
-总书记	0	20	8
-曲阜市	35	2	0
-克山	18	33	38
-障碍物	5	3	4
-过冬	6	11	5
-婴儿车	2	0	2
-健硕	0	2	0
-边卡	1	0	0
-拐杖	9	3	7
-促请	1	0	0
-余风	4	0	2
-胰岛素	40	44	38
-俄语	144	258	43
-抱歉	3	3	15
-拓本	0	20	26
-誓	81	67	80
-还俗	3	1	0
-公墓	8	24	251
-起首	1	0	2
-利己主义	0	1	3
-有效期	0	3	12
-冒号	6	0	2
-护法	1	0	0
-说实话	0	2	4
-冒名	6	0	0
-戳穿	1	6	0
-老挝人民民主共和国	4	2	0
-克拉斯诺亚尔斯克	6	4	0
-过敏症	1	0	26
-瓜分	3	2	1
-轮岗	1	5	0
-誉	83	396	207
-誊	16	3	3
-花容月貌	1	0	0
-成绩	13	88	33
-懒虫	14	3	4
-鹰洋	0	0	1
-冻伤	3	0	8
-高度层	0	0	4
-拖曳	18	6	5
-迈入	2	1	0
-金銮殿	2	0	0
-返修	1	3	1
-叶黄素	5	12	10
-兴城	55	15	8
-过关	18	613	51
-罪孽深重	0	0	1
-港澳台	19	17	5
-全套	3	38	0
-六根清净	1	0	0
-玻璃罩	1	0	0
-哥们儿	3	3	3
-松土机	0	0	1
-违令	1	0	0
-军区	5	279	52
-边区	7	82	12
-鸡皮	22	10	4
-挟带	1	0	0
-作风	3	30	17
-转岗	0	1	0
-狡辩	1	0	0
-迁出	1	0	0
-訾	95	14	39
-轴子	1	0	3
-不来梅	17	6	1
-兴国	76	47	64
-超霸	7	10	0
-兵团	27	144	146
-远亲	4	3	0
-扣球	0	2	13
-红玛瑙	3	1	2
-公堂	0	5	22
-郡县制	1	1	0
-手相	10	4	0
-全境	2	1	0
-珍爱	33	38	4
-起飞	28	41	52
-启动盘	1	8	6
-跃进	33	33	70
-褐马鸡	0	2	1
-足金	0	9	6
-进价	1	0	1
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-其四	0	2	17
-入声	3	1	0
-四言诗	3	1	1
-拷打	4	0	1
-玻璃	698	1367	394
-余干县	20	4	0
-訇	14	1	13
-房地产业	8	36	5
-言	388	1446	1632
-香云纱	1	0	1
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-詹	1989	381	49
-拍板	5	3	3
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-齐全	3	2	3
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-耶稣教	0	2	0
-大回转	1	0	1
-光山	33	36	15
-现代人	53	36	15
-入夏	1	1	0
-鸡瘟	0	2	3
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-五谷不分	0	0	2
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-半山腰	1	1	0
-军务	1	6	1
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-军功	5	3	0
-军力	0	4	5
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-乌纱帽	0	0	1
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-詈	12	10	27
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-跏	5	19	3
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-球王	10	6	15
-跎	6	10	5
-跌	160	134	47
-熏火腿	0	6	1
-跋	73	95	71
-冠冕	2	4	8
-护树	6	0	0
-指尖	62	23	2
-软弱	14	6	1
-兰坪	17	7	1
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-迷人	80	56	13
-冠军	175	273	122
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-跄	8	6	10
-跃	134	1237	513
-护栏	16	110	73
-跞	1	4	13
-跟	1017	638	20
-距	74	382	259
-油气区	0	5	4
-跚	3	1	7
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-跖	37	70	27
-一分为二	1	0	0
-护校	3	2	0
-瓦尔登湖	4	3	12
-跑	254	575	359
-跬	10	5	7
-路	2489	10507	4224
-跨	556	515	25
-跫	6	12	1
-替罪羊	1	2	2
-跪	47	33	16
-跤	4	37	14
-跣	13	7	13
-跽	8	14	5
-达坂城	9	0	2
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-跸	7	20	34
-何须	4	3	0
-跹	1	33	6
-跺	9	2	2
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-超	2752	3179	1735
-趄	2	5	7
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-趸	20	13	5
-趺	15	11	10
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-趼	4	8	7
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-趿	2	0	4
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-趱	10	0	8
-挡墙	0	0	3
-足	626	1828	467
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-趴	40	31	24
-趵	11	34	1
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-赇	12	2	11
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-资	433	446	253
-赅	9	1	8
-赂	15	7	31
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-赃	27	8	29
-赀	38	6	21
-过后	0	1	0
-赁	21	2	10
-赎	52	97	111
-赏	220	420	319
-扁率	0	0	3
-赌	192	170	31
-赍	46	8	12
-路费	0	5	1
-赊	40	10	8
-鳜鱼	25	36	95
-赋	206	537	957
-赉	6	73	47
-金台路	0	3	0
-赖	1592	981	160
-赕	8	4	6
-招惹	0	1	0
-赔	33	58	23
-鳝鱼	74	95	131
-赓	19	86	62
-黏性	12	7	6
-赐	165	315	163
-田亩	0	5	0
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-赞	273	601	474
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-赜	5	34	34
-赛	1602	3233	1183
-由于	3	4	0
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-赚	68	535	51
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-赙	18	0	8
-赘	63	39	27
-赤	2429	1895	202
-农具	3	12	5
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-赧	17	5	7
-赠	441	425	120
-辊子	1	1	0
-赡	57	20	57
-赢	621	1245	193
-赣	220	241	24
-赫	1598	3387	863
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-赵	12576	1133	54
-赴	124	273	30
-起	637	1830	855
-赶	188	114	10
-走	1536	1718	428
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-赳	9	12	8
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-黑心	41	14	0
-瓦垄	5	0	0
-扯淡	4	2	4
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-孢子囊	2	0	11
-拉拉	65	316	94
-拇指	79	58	9
-天长地久	7	20	14
-玻璃纸	1	4	0
-转录	64	49	15
-拍打	6	16	5
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-负	625	351	100
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-败	169	320	175
-账	43	240	116
-货	149	406	310
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-质	272	1777	563
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-贪	293	110	39
-贫	210	135	97
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-费	1994	2158	581
-贸	18	781	24
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-侍郎	7	47	57
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-趣闻	19	22	28
-抽搐	0	8	4
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-田七	92	51	4
-承德市	63	4	0
-余震	5	4	2
-转年	1	0	1
-鳗鱼	69	74	99
-元宵	21	33	52
-全场	7	2	5
-拉扯	0	0	1
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-鼎城	7	18	5
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-游泳赛	0	0	2
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-森林法	2	11	1
-这儿	9	9	10
-貘	10	8	24
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-貂	79	82	90
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-女强人	4	2	4
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-黑影	9	2	5
-全国	4400	4099	17
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-截留	1	6	3
-豆	865	3745	1670
-辔头	0	0	1
-用于	10	31	0
-拂拭	0	1	0
-豁	55	50	66
-他山之石	6	0	1
-跟踪	43	193	57
-豉	532	373	26
-入场	1	3	0
-刺绣品	0	1	2
-豳	28	12	12
-修葺	1	0	1
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-狂飙	22	74	70
-基本词	0	4	0
-国泰民安	4	1	0
-佛陀	61	38	16
-投案	1	0	1
-豹	268	449	288
-豸	18	30	22
-车座	0	1	0
-黑手党	30	10	17
-慢走	3	4	0
-报晓	3	2	3
-瓦器	2	0	3
-入土	1	2	4
-豢	20	6	10
-近况	0	0	1
-举足轻重	1	0	0
-象	454	1399	680
-乌干达	29	5	2
-豪	685	3762	849
-狂风	18	13	5
-豫	469	558	179
-谑	20	14	36
-谐	100	209	75
-入围	21	7	0
-扑火	2	2	4
-谓	37	64	30
-再则	2	1	0
-谒	105	59	68
-献计	0	5	2
-谕	34	61	125
-八宝菜	1	0	8
-谔	5	34	72
-谗	80	12	29
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-谖	4	14	9
-谘	43	27	11
-兑奖	0	1	0
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-谝	5	25	3
-谜	220	686	1242
-轮带	1	0	1
-谟	25	190	286
-谀	24	18	34
-经济部	0	0	1
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-谁	1045	835	299
-谂	2	3	4
-调	793	1679	635
-过半	2	2	4
-谅	15	29	73
-谇	11	6	5
-谈	532	1610	602
-深宅大院	0	0	1
-报春	15	9	325
-谊	36	327	198
-谋	184	398	499
-谌	157	29	32
-谎	23	53	40
-谏	99	143	149
-谳	30	5	27
-披散	4	0	0
-谲	32	6	31
-谱	87	1076	993
-招徕	6	1	1
-谷	1526	3839	1761
-阿斯匹林	4	0	1
-谴	28	21	31
-投标	23	234	24
-谢	6507	1445	223
-入团	5	1	0
-谣	14	52	160
-招待	2	6	6
-谠	16	6	17
-谡	4	8	8
-谦	158	441	855
-谧	12	25	37
-谤	48	8	76
-谥	16	19	20
-谪	58	15	34
-谫	17	4	3
-谨	172	83	144
-谮	8	1	14
-谯	143	66	10
-谬	88	34	95
-鳕鱼	79	201	315
-橄榄球赛	0	0	8
-谭	2794	369	296
-迩	28	53	43
-冀南	23	4	1
-迨	3	9	3
-迫	90	101	73
-迪	2368	8360	1546
-迭	371	270	43
-远古	179	98	4
-迮	10	2	8
-迥	36	23	41
-迤	187	55	13
-伯乐相马	0	1	0
-迦	239	481	105
-迸	61	6	17
-迹	39	325	481
-内助	1	2	1
-拂晓	26	6	8
-王者	157	147	49
-追	676	923	92
-比格尔	3	0	0
-述	72	664	302
-兼及	1	4	0
-轻微	14	9	0
-违反	31	35	0
-迷	751	1425	338
-迭出	0	0	3
-执照	2	20	29
-乌鲁木齐	381	85	22
-迈	1303	2055	224
-黑幕	14	2	25
-儿子	28	212	85
-迎	395	555	146
-路边	38	26	3
-冒充	6	9	0
-迂	83	11	18
-车手	1	53	33
-迁	337	258	259
-内勤	3	1	5
-一刀两断	1	0	0
-过	1276	2384	481
-拥戴	0	1	0
-儿孙	1	3	1
-迅	302	599	152
-迄	8	1	1
-工具钢	2	5	49
-进	515	4050	1177
-豆瓣酱	56	9	11
-还	546	1321	121
-这	457	762	7
-连	1662	3774	802
-迟	437	111	135
-路过	25	14	5
-鼓噪	2	0	0
-远	963	3863	1789
-黏度	11	30	28
-违	154	48	82
-佛门	22	12	3
-迓	8	11	13
-运	415	3024	745
-近	929	790	197
-振奋	4	2	3
-便览	0	1	21
-返	242	449	61
-双胞胎	34	16	36
-迕	9	3	10
-成算	1	0	1
-保藏	1	31	9
-盐湖城	3	9	4
-辩	68	191	214
-辨	167	385	209
-辫	14	19	26
-山丹丹花	1	0	0
-拜拜	12	2	8
-瑞星	75	16	7
-倒置	20	13	16
-辣	835	3062	103
-边塞	11	13	1
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-车技	0	2	1
-辽	659	404	51
-达	3330	17780	3292
-甚佳	0	2	1
-持平	2	0	16
-授业	4	1	3
-边	1161	2644	423
-退保	3	3	0
-维管束	5	9	8
-蹩脚	2	0	0
-选人	8	8	0
-轻快	3	1	0
-辰	182	851	632
-辱	40	38	130
-辏	12	29	12
-黑店	2	0	3
-辍	13	11	7
-边境	59	122	23
-抹杀	5	2	5
-瓶口	5	1	1
-辋	20	15	3
-连同	0	0	1
-白矮星	0	0	2
-辉	311	2259	4080
-内力	6	2	0
-辈	6	33	54
-辇	34	39	54
-辆	1	74	2
-内功	10	24	13
-辅	196	532	401
-辄	19	10	10
-车把	1	0	0
-较	83	84	40
-内务	9	13	0
-辂	6	4	66
-甄别	1	6	1
-辁	6	0	1
-辞	185	270	486
-僚机	0	0	1
-辟	218	125	137
-辜	143	22	24
-冤仇	1	1	2
-傲气	14	2	1
-辚	5	5	7
-辛	1505	1809	490
-辙	10	40	99
-辖	16	34	40
-逐一	1	2	0
-输	163	266	72
-辐	81	127	10
-辑	44	357	145
-兽医	120	316	27
-先妣	1	0	0
-车	1744	3695	3293
-依赖	26	88	32
-犬马	17	2	0
-轧	74	171	50
-轨	59	167	214
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-生事	1	2	2
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-轫	2	3	8
-转	668	1995	342
-轭	24	79	32
-轮	389	1078	689
-软	1062	2575	93
-百货商店	2	3	7
-轰	150	175	35
-轳	1	1	2
-轲	13	39	73
-轵	16	4	2
-轴	258	1008	2224
-像样	0	2	0
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-轹	9	1	14
-轸	33	17	82
-轻	821	805	137
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-拍摄	19	153	35
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-路轨	1	2	1
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-进化	147	200	217
-生业	0	1	3
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-狼道	28	11	4
-党团	0	1	1
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-写作	103	2064	839
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-拘押	0	2	0
-光大	65	166	12
-农会	1	7	4
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-躺	27	20	3
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-跨过	6	10	0
-躲	58	105	25
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-躯	18	12	56
-输导	3	0	1
-玩笑	8	3	19
-迷信	8	19	14
-躬	37	31	77
-适于	2	1	0
-身	246	1894	822
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-躜	2	0	0
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-躞	1	6	5
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-鳊鱼	2	6	36
-拖拉	9	4	4
-演出队	1	0	0
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-躔	6	0	17
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-躐	23	2	7
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-兆头	0	3	2
-僵持	1	0	0
-躏	6	1	3
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-鸦片	20	19	10
-躅	8	1	30
-共同	176	199	0
-躇	1	1	5
-躁	80	21	62
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-大杂烩	4	2	22
-打牌	4	2	2
-珠琴	0	0	1
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-蹰	3	1	2
-蹶	25	4	35
-挑子	0	1	3
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-技法	2	1343	1398
-蹿	13	9	1
-蹼	13	28	6
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-逼真度	0	1	0
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-国务院	349	162	3
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-蹯	0	2	3
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-蹭	32	11	9
-蹑	62	7	13
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-抽斗	0	1	0
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-鳄鱼	121	84	49
-佳酿	2	5	3
-跳跃	101	65	114
-迟到	24	11	4
-蹙	62	17	45
-织女星	4	0	1
-凝血酶	14	13	2
-兴南	4	11	5
-迷住	0	3	0
-石家庄市	555	16	1
-拖把	10	4	20
-便血	1	0	14
-狂雨	0	1	0
-蹀	18	6	9
-军人	68	121	13
-蹁	1	1	1
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-兵卒	1	2	0
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-余钱	1	0	0
-剧中人	0	0	2
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-甚么	0	2	3
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-扮演	3	26	6
-踵	44	23	69
-公司	776	2771	22705
-乘法表	0	0	4
-踱	5	2	6
-银企合作	1	0	0
-白俄罗斯共和国	2	3	0
-踹	27	14	1
-感受力	0	2	0
-斯洛伐克共和国	1	0	0
-踢	125	113	52
-踣	20	0	14
-踮	19	3	0
-迷你	502	258	9
-踬	13	2	24
-催款	2	4	0
-踪	16	252	396
-军乐	3	6	4
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-儿女	42	160	81
-农丰	11	8	0
-长庚星	0	1	0
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-辐射	268	548	164
-兴化	74	40	1
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-仙人掌	78	38	66
-抬杠	1	1	2
-书法史	3	18	15
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-辩士	1	1	1
-踅	10	18	5
-适中	5	2	2
-踏	341	245	51
-党政	87	195	0
-脚	218	1652	569
-脘	6	13	4
-脞	6	4	5
-克服	20	30	5
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-脓	58	122	26
-理智	14	23	7
-脒	5	35	24
-脑	699	2391	420
-脐	99	113	28
-因果性	1	0	0
-猪脚	48	144	154
-脖	9	47	67
-脔	12	0	17
-成田	31	6	7
-脊	81	486	168
-冬季	129	229	31
-脉	278	1743	485
-光束	14	24	12
-脎	0	0	1
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-抄本	1	17	11
-脆	616	953	158
-兵戎	0	7	0
-小叔子	0	0	1
-滚雪球	16	7	6
-担当	7	7	10
-脸	45	385	339
-列举	4	9	1
-凸出	2	5	1
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-列为	0	1	0
-曲阳县	9	1	3
-脾	217	557	46
-脱	683	1089	206
-凡响	2	1	2
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-脲	23	156	166
-抚摸	4	3	1
-小合唱	1	0	1
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-车号	1	2	0
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-脯	32	208	449
-天文钟	1	0	1
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-腙	0	11	23
-报捷	1	6	0
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-腔	53	299	248
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-腋	41	29	18
-刀具	36	158	56
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-腾	709	2104	414
-转包	2	6	4
-腹	350	1148	127
-打浆	7	3	7
-腻	68	85	44
-腴	12	10	39
-合格率	0	0	10
-性关系	1	4	2
-腰	385	1150	386
-线膨胀	2	0	0
-振动	202	623	107
-独裁	10	3	5
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-膑	6	31	8
-猫腻	0	0	1
-军工	28	43	4
-膛	14	43	11
-膘	7	19	24
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-披挂	1	0	0
-膝	114	228	79
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-凭吊	0	1	1
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-党旗	8	8	2
-农转非	1	1	0
-特需	8	1	0
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-投资者	31	151	43
-戆直	1	0	0
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-膊	8	13	21
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-白癜风	37	60	22
-初中	897	821	277
-膏	115	349	2505
-四书五经	25	7	13
-借词	3	4	2
-辛丑	6	2	0
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-不期而遇	1	0	0
-初三	8	37	4
-火力发电	123	38	0
-膳	33	171	129
-担心	2	3	8
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-初七	0	0	3
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-膺	36	59	87
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-列传	2	33	172
-独龙族	11	1	0
-振华	144	117	143
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-臁	2	3	0
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-光柱	12	6	13
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-至	711	1755	281
-臼	34	102	57
-臾	2	8	10
-借调	3	1	1
-臻	54	280	270
-玩牌	2	0	1
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-臧	452	32	38
-共振	48	47	42
-光标	9	10	8
-冲子	7	12	0
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-臬	9	1	14
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-自	1868	3985	71
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-耋	5	9	14
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-而	38	2020	57
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-耍	132	42	16
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-耀	206	2272	834
-特长	9	22	2
-老	4196	4415	492
-考	967	5006	886
-内弟	0	1	0
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-者	289	4864	4318
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-酸性岩	2	0	2
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-耜	0	9	29
-划一	0	2	1
-耐	588	1576	67
-卡斯特里	4	9	0
-耕	154	508	336
-耔	0	5	2
-耗	73	146	118
-挂图	1	363	233
-耖	1	0	0
-耪	1	7	0
-鸿沟	4	7	15
-爱鸟	4	3	2
-耨	7	16	23
-耩	1	5	2
-走边	2	1	0
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-转制	2	9	2
-耠	1	0	0
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-耧	8	32	3
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-耥	1	0	0
-狸藻	3	3	84
-耻	20	67	75
-卑尔根	16	8	1
-光是	4	0	0
-耸	62	30	46
-标准分	3	2	0
-耿	990	144	82
-耽	78	21	22
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-耳	556	3885	678
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-耱	0	0	3
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-耶	665	3516	761
-耵	7	2	0
-职	815	1753	272
-聍	0	4	2
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-猎获	0	1	1
-黍子	2	0	0
-聊	58	150	59
-芨芨草	1	0	11
-聋	53	106	52
-黄山	847	176	25
-聆	66	46	16
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-聂	1133	116	18
-聃	3	7	27
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-联	831	4722	831
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-聩	2	2	14
-截然	1	0	0
-其意	0	4	0
-冤孽	2	0	2
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-春小麦	2	0	1
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-专题讨论	1	0	0
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-肃	200	209	164
-赌钱	1	2	1
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-技术	644	33595	16386
-走道	1	0	5
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-肉	932	3065	3174
-肋	86	371	52
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-肌	263	929	263
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-肓	6	17	17
-杜尚别	4	1	0
-出入	24	19	0
-猪肝	205	358	345
-肖	3590	655	136
-猪肚	110	274	255
-肘	83	122	134
-肚	67	725	379
-黑客	224	142	58
-车厢	6	17	8
-肜	6	3	8
-肝	482	1544	439
-肟	3	74	66
-肢	46	146	28
-股	248	773	602
-肠	260	1399	639
-犁铧	2	2	2
-内径	6	6	8
-肥	404	475	168
-刑事	511	599	20
-肤	135	1172	150
-肫	13	45	72
-肪	1	24	11
-肩	183	597	163
-肯	445	1001	278
-鲸鱼	49	26	31
-肭	0	2	2
-冤家	23	46	90
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-育	403	2558	325
-工务段	0	1	14
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-扶桑	41	16	9
-拟定	1	6	0
-肷	1	10	2
-肴	20	39	37
-肺	381	1065	231
-走遍	154	44	0
-巴西利亚	10	2	2
-猪肉	420	557	398
-肾	584	1242	188
-肿	56	163	168
-肼	11	50	113
-肽	55	448	494
-胄	15	61	105
-胆	276	731	325
-胁	70	107	35
-胀	40	122	50
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-胃	455	673	68
-超越	452	316	88
-胂	2	37	12
-胍	21	73	54
-挤压	51	78	22
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-先机	2	11	10
-背	593	2293	327
-胎	256	751	173
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-拆开	0	1	0
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-犁镜	0	0	1
-胝	3	24	14
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-新泽西州	3	0	1
-胙	14	11	20
-转动	33	33	15
-胧	19	48	11
-出头记	0	0	1
-胥	213	103	73
-胤	55	204	183
-净增	3	0	0
-内心	36	130	10
-胡	9608	1829	282
-蹲点	1	0	0
-拉平	2	5	3
-胯	14	10	7
-拳套	0	0	50
-鲶鱼	52	35	121
-胬	3	6	1
-轰击	3	10	1
-西装革履	1	0	0
-胫	35	141	25
-胪	41	27	19
-胩	0	6	1
-先期	10	1	4
-胨	1	8	1
-胶	523	2504	1664
-黑子	16	8	11
-胲	0	2	5
-招展	1	1	2
-威慑力	0	0	2
-胰	68	150	15
-胱	18	140	0
-理发店	6	5	11
-威虎山	5	8	5
-能	423	4562	962
-做菜	4	14	0
-胺	31	1067	1432
-八拐	0	1	0
-胸	359	1440	262
-凤尾草	2	0	6
-元旦	13	16	6
-充斥	1	0	0
-缫丝厂	0	0	2
-卡塔赫纳	10	1	0
-茹	210	319	471
-切中	4	1	0
-茺	10	5	0
-我省	0	22	0
-茵	205	269	189
-蛋炒饭	2	0	196
-茶	1433	3481	5704
-收录机	6	0	3
-茳	6	2	5
-拜年	6	3	18
-茬	6	20	22
-黄金屋	4	3	6
-茫	38	20	29
-抵挡	3	1	1
-茧	53	208	102
-指头	3	6	3
-洞庭湖	25	38	5
-茜	147	426	365
-换乘	2	27	4
-抽打	1	0	0
-茛	3	26	97
-刀伤	1	3	0
-越过	0	1	0
-写实	15	88	6
-茚	13	30	9
-辈分	0	1	2
-牛皮菜	0	0	1
-工农联盟	0	1	1
-茗	129	413	136
-鸿毛	3	1	4
-辈出	0	1	2
-茕	18	9	10
-茔	18	20	22
-当家的	3	1	0
-默契	8	1	2
-茑	8	12	6
-茎	60	698	114
-茏	6	4	5
-茌	60	8	1
-南涧县	11	0	0
-茈	13	2	3
-茆	40	21	8
-茇	5	9	8
-修车	1	6	2
-琼州	36	6	0
-茅	560	553	405
-茂	383	2736	986
-范	4075	1134	565
-越轨	6	4	7
-荻	75	73	43
-荽	10	19	29
-停航	0	1	0
-先驱者	21	6	2
-农学	17	103	7
-荷	560	1153	381
-玉玺	4	7	54
-荩	10	33	13
-报效	1	1	0
-荪	8	307	263
-荫	93	545	188
-荬	1	27	15
-荭	4	9	9
-投机	38	43	17
-药	564	1834	912
-特钢	1	153	10
-玉环	148	28	65
-净土	44	61	29
-荡	137	246	212
-辞令	0	1	5
-军官	18	143	17
-荣	1211	4780	4985
-执法	31	702	55
-荤	37	35	12
-荥	102	37	6
-荦	6	12	24
-荛	7	63	13
-爆发星	1	0	0
-分享	48	98	54
-荚	39	274	31
-鲫鱼	226	378	476
-出借	2	5	2
-超速	44	33	2
-荜	33	10	7
-专用线	0	3	7
-荒	351	233	208
-农安	14	8	0
-起重	85	324	6
-荑	3	15	22
-辣椒酱	14	7	44
-荐	100	72	111
-光斑	2	1	4
-弗里敦	2	0	0
-琴弦	8	13	16
-击倒	5	0	2
-草	1070	3818	5654
-标准件	3	68	11
-内幕	13	75	148
-猎户座	25	7	2
-荏	24	13	7
-修辞	20	67	40
-献给	44	103	0
-荃	68	55	155
-荀	278	70	30
-报数	1	0	0
-军容	2	1	0
-绿化带	0	0	1
-荆	682	376	92
-荇	7	24	12
-细胞系	0	1	16
-捣乱	1	7	8
-收购员	0	0	1
-手炉	0	0	15
-莶	3	23	7
-蹙眉	0	0	1
-获	112	150	83
-鲣鸟	1	0	13
-莰	2	8	1
-莱	1736	9039	824
-保释	1	1	1
-莲	782	2874	1819
-换人	1	0	4
-莳	35	32	14
-莽	123	123	69
-折本	2	0	1
-黄尘	1	1	0
-莸	4	13	28
-莹	49	224	608
-入手	0	2	4
-换亲	0	0	1
-莺	104	246	720
-农家	238	188	15
-莠	14	26	7
-辅助	151	706	28
-牛顿	93	63	43
-促销	59	109	44
-分付	0	1	0
-入托	1	2	0
-保重	2	1	7
-莩	6	13	9
-绝经期	8	3	1
-莨	5	23	4
-莫	3735	4969	327
-莪	20	48	21
-发育期	0	1	1
-闯关东	9	0	0
-鼓励	13	102	4
-莒	114	26	11
-莓	42	744	143
-内应	3	1	0
-莞	72	76	25
-鼓动	5	5	10
-投枪	1	1	1
-金丝小枣	1	3	11
-莛	6	14	6
-莘	95	117	63
-柴米油盐	3	0	0
-莅	21	12	20
-托漂	1	0	0
-鲱鱼	6	6	7
-冠子	1	30	7
-损伤	22	194	288
-仙游县	77	5	0
-拘役	2	1	0
-扰民	0	2	2
-亚硝酸盐	5	9	1
-莉	361	3064	1397
-冲天	39	35	37
-招录	0	87	2
-菰	20	22	43
-菱	202	553	130
-菲	1495	4494	858
-冷却器	0	7	62
-菹	14	7	11
-著作权	57	95	10
-菽	17	23	24
-大千世界	7	3	6
-侨领	0	1	0
-菡	8	27	46
-批次	5	6	9
-菥	7	14	1
-鲮鱼	42	99	28
-轮唱	1	1	0
-不变资本	1	0	0
-较劲	0	3	8
-分会	0	31	348
-换代	2	0	1
-菪	0	20	2
-清唱剧	1	2	3
-打雪仗	2	2	17
-拟建	1	0	0
-菔	1	49	18
-光明	306	360	169
-全才	5	3	16
-克族	0	1	12
-报时	5	3	5
-先是	2	0	0
-菘	11	37	28
-菜	714	4039	4453
-菝	18	88	2
-黄寺	8	2	3
-菁	42	234	268
-菀	25	27	40
-菇	106	2510	1400
-辨义	0	0	3
-假想敌	1	0	1
-菅	99	13	22
-玩火	3	4	5
-菊	367	1612	1708
-菏	24	33	1
-全托	2	1	0
-修造	0	39	2
-菌	212	2230	1653
-狐裘	6	0	2
-般	130	267	33
-舭	8	0	0
-航	220	1450	452
-王爷	69	184	94
-舫	2	43	181
-舨	0	8	1
-中产阶级	4	9	4
-人造肉	1	0	0
-舢	3	2	4
-舣	5	5	0
-军婚	3	3	2
-冰城	18	5	6
-舡	1	1	4
-折断	3	7	3
-呼和浩特	272	61	17
-新河县	5	3	0
-舻	1	8	9
-拖带	3	3	1
-转告	1	0	0
-船	509	1023	1063
-兴建	4	18	12
-指头肚儿	0	0	1
-舸	5	25	72
-全息	105	113	12
-弹性体	8	13	25
-舷	36	15	19
-假药	1	7	1
-舶	13	23	26
-舵	50	67	61
-物镜	3	3	24
-舴	2	4	0
-在劫难逃	0	0	1
-鲤鱼	152	206	277
-舳	5	2	1
-关张	0	5	2
-舱	29	151	172
-循序渐进	31	37	3
-舰	19	416	340
-舌	260	777	525
-戴姆勒	16	10	4
-辛亥	25	5	0
-舍	366	1442	961
-身段	0	2	4
-兑换	8	43	20
-抱抱	15	39	18
-新嫁娘	3	0	4
-舄	5	3	26
-抗日	164	442	9
-舅	18	19	31
-拙工	0	1	0
-王牌	163	136	45
-跺脚	1	1	2
-黑夜	118	40	25
-舀	3	1	1
-出价	2	1	11
-舂	43	15	24
-凤冠	17	23	18
-舜	180	615	253
-鲥鱼	1	1	22
-舟	173	1520	687
-舞	461	1598	1822
-舔	20	15	6
-趔趄	1	1	0
-抗旱	17	83	3
-舐	13	14	4
-舒	1670	1764	404
-瑞士	434	150	15
-凑合	2	0	0
-镇政府	0	6	0
-艨	1	2	3
-艮	31	86	54
-良	614	3868	3766
-保温套	0	1	1
-出众	1	11	8
-转台	3	2	10
-赋闲	1	1	1
-冀州	37	4	1
-战略	586	2586	1184
-笑眯眯	1	0	1
-抵扣	5	14	4
-审判长	1	0	0
-折旧	10	21	20
-艺	455	3070	683
-艿	3	10	2
-出任	1	0	0
-艾	5582	3557	282
-艽	7	43	30
-艳	293	1598	1032
-色	856	5077	967
-琴师	0	2	7
-鲢鱼	25	50	42
-艰	38	8	47
-玻璃砖	0	1	3
-拐弯	5	7	7
-艴	2	0	3
-艉	40	5	5
-毛里塔尼亚	21	1	0
-艋	14	3	1
-艏	26	5	8
-环游	32	145	0
-招工	5	5	1
-修身	31	51	34
-转向	46	95	46
-依顺	0	2	1
-拆息	2	0	3
-成百	2	1	0
-兼并	13	29	18
-挂失	5	4	2
-艇	16	87	141
-艘	0	5	8
-艚	1	2	3
-冷场	0	1	1
-辞世	1	1	0
-热电站	1	0	6
-艟	2	0	3
-山珍海味	5	0	0
-把柄	1	0	1
-珲春	26	11	0
-太极剑	5	30	49
-减员	0	0	1
-芦	820	746	87
-函件	1	12	1
-芥	221	358	285
-侧面	20	9	9
-俯身	2	0	0
-趣谈	18	19	85
-芯	63	830	188
-芮	197	97	54
-信道	22	34	68
-芬	223	1998	2068
-芪	102	478	24
-芩	57	91	24
-抵抗	35	38	24
-儿时	3	11	0
-南洋杉	5	0	4
-击伤	0	1	3
-芷	43	326	68
-木偶戏	6	1	41
-党报	11	11	1
-芴	20	63	32
-凤凰	887	841	124
-芳	388	1893	3836
-状貌	1	0	1
-芰	10	20	5
-花	3790	12860	5598
-芾	3	276	26
-鲨鱼	131	126	71
-猩红	17	2	1
-行车道	1	0	0
-机械论	1	0	0
-芽	159	741	321
-军嫂	4	4	1
-芹	142	1057	930
-超过	1	13	2
-养父母	1	0	0
-牛头刨	1	2	0
-拜师	5	1	6
-节	521	1566	3976
-抵押	45	166	36
-芏	2	4	2
-关心	13	91	6
-芎	76	75	18
-芈	58	5	2
-芊	44	101	64
-戏目	0	1	1
-文史馆	0	0	35
-芑	2	16	11
-船舶业	0	1	0
-芒	700	781	266
-捆儿	0	0	1
-辛家庄	4	0	0
-没意思	2	0	1
-芘	12	14	14
-事与愿违	0	0	1
-软和	0	2	0
-傅粉	2	0	5
-兵役	7	19	2
-冰塔	2	1	4
-挖土	1	1	0
-苣	16	385	29
-玉兰香	6	2	1
-苡	56	85	8
-写字	27	163	23
-苠	0	7	3
-包皮炎	0	0	2
-苦	669	667	196
-超车	4	3	4
-若	769	2205	439
-典当	33	106	24
-分业	2	2	0
-苫	28	18	5
-愚钝	1	0	1
-共性	2	14	5
-黑头	117	46	4
-辞书	11	52	2
-苯	474	1992	333
-决堤	0	1	7
-扫毒	1	2	1
-跳舞	58	65	87
-无家可归	8	2	3
-房地产商	2	4	1
-抢攻	0	0	1
-赚钱	59	246	0
-英	2496	5522	5148
-苷	11	613	415
-充数	0	0	1
-犹豫	5	3	7
-打滑	3	5	2
-出使	12	10	4
-七擒七纵	1	0	1
-冻土	30	23	25
-苻	73	5	3
-超载	9	25	8
-健胃	26	43	2
-苁	49	119	3
-麻将	170	269	411
-换上	1	0	0
-冬天	80	55	70
-抢救	52	106	6
-苄	101	507	38
-苇	117	219	84
-苈	0	53	45
-班机	1	62	16
-分为	0	6	0
-苊	4	1	5
-拖延	4	10	3
-苍	948	497	165
-打滚	2	0	7
-苌	43	18	13
-冬夜	22	7	6
-苏	6235	3809	647
-苑	230	2266	3564
-关怀	9	69	44
-苒	10	20	18
-苓	44	326	141
-苔	119	869	652
-苗	943	586	571
-抗暴	4	5	0
-苘	20	8	1
-苞	74	645	70
-苟	261	59	55
-轮回	104	89	157
-蕖	1	12	24
-随机性	2	1	1
-农妇	6	2	4
-候补	10	28	2
-凛凛	2	2	4
-蕞	10	2	4
-代表大会	0	749	241
-依靠	0	12	5
-蕙	46	128	128
-后视镜	6	5	11
-牝鸡	9	0	0
-假若	4	0	1
-凝冻	1	5	1
-停职	3	0	0
-蕊	38	579	216
-蕈	29	53	34
-蕉	215	180	137
-挑剔	1	5	1
-承揽	7	3	2
-蕴	43	392	134
-挫伤	0	4	27
-蕲	54	13	7
-凛冽	1	0	2
-中控室	1	1	0
-蕾	209	703	419
-战火	86	33	21
-凉台	1	3	0
-转圈	2	0	2
-拆字	7	3	0
-册子	3	0	4
-蕺	14	9	2
-减半	1	0	4
-蕤	18	21	52
-农奴	3	18	1
-像片	26	5	5
-挂名	5	3	2
-出世	16	16	18
-指印	4	9	2
-凭依	11	0	0
-出丑	5	0	2
-共度	2	8	0
-默坐	0	1	0
-蔗	41	146	37
-扣杀	1	1	3
-空白点	0	0	1
-边上	3	20	15
-指南	35	1513	6830
-蔚	132	376	336
-普天同庆	2	0	0
-蔟	2	3	6
-挂号	6	20	16
-侧门	2	1	1
-公式	13	207	401
-凌厉	1	4	1
-担子	10	5	1
-抽屉	25	1	6
-辖制	0	1	2
-鲜鱼	29	57	38
-傧相	0	0	2
-蔌	1	2	9
-雨量计	0	0	13
-鹊桥	45	5	5
-农夫	61	25	35
-特马	3	107	3
-农大	82	110	11
-蔹	0	30	6
-蔸	2	3	4
-蔻	32	400	42
-蔺	150	79	27
-蔽	53	50	86
-蔼	11	53	49
-抚恤	3	38	1
-蔡	5141	503	38
-黎塘	5	3	0
-戒烟	26	28	15
-主战场	0	1	2
-深圳市	10646	50	0
-公开	91	777	51
-拼命	11	6	3
-蔫	11	7	2
-把手	1	4	0
-蔬	106	1239	260
-承接	5	21	3
-藜	73	119	98
-拥堵	3	5	1
-拟声	4	4	1
-监测站	0	6	43
-冈山	28	10	4
-藕	169	670	295
-出产	0	1	0
-拉客	0	1	2
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-拆封	1	0	0
-抑扬	7	3	3
-藏	933	3218	876
-钱塘江	26	13	2
-八宝粥	6	0	33
-指名	4	198	1
-催眠	70	56	21
-册封	2	0	0
-批改	1	3	2
-藉	31	21	71
-名词委	0	1	0
-藁	60	66	3
-指向	13	30	7
-辞典	2	109	978
-不相干	0	0	1
-修路	3	4	7
-独资	5	29	4
-转型	190	630	244
-军威	2	6	3
-藻	128	610	1194
-凡尔赛	25	6	0
-保送	1	2	0
-公德	4	11	7
-健美	25	77	27
-立克次体	4	5	4
-计时赛	1	0	6
-麸子	2	2	2
-减去	0	2	1
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-牛黄	81	65	7
-出事	1	0	2
-藩	60	449	512
-公心	2	1	1
-逃之夭夭	2	0	0
-出于	5	4	0
-藤	653	1285	1225
-蹄筋	30	35	169
-越野	81	153	41
-薛	2568	224	16
-辽东	90	30	4
-冰块	9	4	18
-麻子	28	23	28
-佛龛	0	6	9
-薜	43	15	3
-挑动	0	0	1
-挎包	3	0	2
-把持	3	1	1
-共建	8	47	0
-冰坛	1	0	0
-再审	4	21	2
-兴宁市	126	10	0
-太极图	9	5	5
-按压	5	3	2
-抑或	0	8	0
-农委	0	0	3
-薇	242	608	515
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-薄	768	480	309
-薹	6	27	12
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-拂尘	2	6	9
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-薰	161	737	223
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-薷	2	10	2
-薨	4	4	8
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-薪	175	461	141
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-薤	27	24	12
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-葆	67	397	118
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-葳	18	23	48
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-截流	7	14	8
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-葺	8	5	13
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-葸	5	2	7
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-萃	94	372	183
-玫瑰	814	753	472
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-萋	15	16	13
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-萍	73	403	2443
-萎	41	34	23
-雪里蕻	49	5	12
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-萑	8	5	0
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-萧	1900	372	62
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-军士	4	16	8
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-鸩毒	0	0	2
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-蒲	1149	679	107
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-猪苓	19	8	4
-蛎	34	115	29
-达产	3	0	0
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-蛘	1	4	1
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-其实	84	177	7
-惊骇	2	2	1
-决口	4	3	3
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-黟县	29	5	0
-兴安	126	92	16
-拐子	11	16	7
-蚪	2	4	5
-蚩	63	32	7
-蚨	1	27	5
-可比性	4	1	0
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-休闲服	1	0	1
-拱坝	9	7	10
-蚤	38	35	51
-蚣	4	7	2
-冷却	56	147	51
-鲇鱼	27	11	28
-跳虫	0	6	19
-把握	49	67	10
-蚺	15	15	36
-凄凉	7	7	4
-蚴	0	39	11
-赛风	1	2	0
-五彩缤纷	18	3	2
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-抓拍	6	2	2
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-折扇	5	0	17
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-默哀	1	1	0
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-颦	6	6	26
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-频	107	903	195
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-颃	3	7	4
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-骖	17	7	38
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-骟	7	0	3
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-骚	85	79	51
-骄	158	90	60
-骅	13	43	165
-骆	707	38	21
-骀	8	9	12
-骂	85	101	55
-验	112	332	101
-瑶乡	1	1	3
-骏	184	883	483
-骊	107	87	39
-密封条	2	8	22
-骋	62	53	49
-狗肉	49	65	181
-骱	2	8	6
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-骧	2	55	120
-骤	34	15	22
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-骣	1	0	0
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-猪粪	4	0	0
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-鳐	14	35	60
-鳓	6	6	3
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-鱼	2064	6074	7883
-择业	29	34	3
-债款	1	0	1
-跳箱	0	2	0
-傲岸	0	0	1
-黑热病	1	2	3
-黑人	38	57	18
-踏破	14	1	1
-停机	8	4	9
-数理化	14	65	5
-身教	0	0	1
-今音	0	0	1
-特重	0	4	0
-不速之客	1	4	8
-迷幻药	1	0	0
-倒灌	2	5	1
-代销	5	12	10
-份量	0	1	2
-转世	32	20	18
-火电站	0	1	1
-电路图	0	160	23
-人物史	0	2	1
-估计	15	66	43
-转业	3	30	1
-放眼世界	2	2	0
-草绿色	1	0	0
-才情	1	6	0
-转义	3	1	2
-扬名天下	0	0	1
-版面	22	23	5
-玛湖	0	1	1
-起跑线	6	65	17
-战术	87	227	182
-审时度势	1	0	0
-赤贫	1	1	0
-侍者	3	3	14
-教科文卫体	0	3	0
-迷彩服	0	0	3
-转为	1	6	0
-走访	4	2	0
-身旁	1	1	18
-油毛毡	0	0	1
-我校	1	0	0
-蒙城县	53	2	0
-手感	8	9	1
-供电局	2	2	38
-战机	28	104	445
-健旺	1	1	0
-爬高	0	1	1
-玄狐	2	0	2
-地中海	133	64	21
-想象	58	118	66
-打哈欠	1	0	0
-财险	0	10	1
-三桥村	0	0	1
-辐射能	0	0	1
-代际	18	9	0
-扩张	25	103	62
-赘述	0	0	2
-伪足	2	0	4
-体裁	1	9	12
-优选	10	46	11
-苏尼特左旗	1	0	0
-轮作	3	1	4
-侧线	10	1	10
-流水线	15	25	56
-户政	2	2	0
-拆台	1	0	0
-麻包	1	1	1
-经济舱	2	0	2
-拔剑	4	2	5
-以防	1	0	0
-状语	2	14	5
-短尾猴	0	1	2
-种植业	5	26	3
-招兵	2	0	2
-跑腿	3	6	3
-恶鬼	9	6	6
-玷污	1	3	0
-质问	5	1	1
-鹭岛	11	8	9
-斯科普里	2	1	0
-牙雕	48	29	15
-珙桐	5	1	1
-装聋作哑	1	0	0
-做梦	4	16	5
-轶事	1	25	85
-恶魔	662	345	242
-南宁市	689	40	1
-偶数	5	0	2
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-琼山	15	13	3
-蹼泳	0	5	0
-扎手	1	0	0
-择优	2	12	1
-便笺	2	3	4
-鹤峰	15	10	9
-憨痴	1	0	0
-抓好	1	72	0
-恐龙	399	518	199
-健朗	2	7	2
-资金	150	953	159
-投奔	3	1	0
-条理性	1	0	0
-森林学	0	1	1
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-伴读	1	12	6
-悠闲	13	29	0
-财阀	3	4	8
-贫民窟	8	4	4
-恒齿	0	1	0
-扫平	0	1	0
-假面具	1	1	2
-冻豆腐	28	27	89
-体表	9	9	0
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-环流	8	47	62
-起诉	13	17	16
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-黑信	1	0	0
-拆卸	0	15	4
-狂言	6	2	5
-扫帚	20	9	14
-休斯顿	18	17	20
-黄冈	343	120	1
-漫无止境	1	0	0
-扬帆	31	71	22
-倏然	0	1	0
-贝雕	11	9	9
-拦住	0	2	0
-软件	821	3861	2690
-转体	5	3	13
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-赫赫	11	2	9
-神秘莫测	3	2	0
-轮休	0	1	0
-俊秀	2	2	25
-中英文	13	143	20
-赛车	93	333	466
-球拍	3	0	5
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-鸣放	2	2	9
-中立主义	0	0	1
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-找寻	22	16	3
-护坡	9	26	7
-购销	8	75	1
-腊八粥	3	0	13
-人造板	21	52	7
-本科班	0	0	2
-赶赴	1	0	0
-珍本	5	47	6
-鹞子	12	5	7
-默	346	1643	458
-犒赏	1	0	0
-黛	298	555	127
-赶走	14	2	0
-黟	13	4	2
-证据法	25	31	8
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-黑	6612	4793	427
-麦加	45	18	5
-电话铃	0	1	0
-犯规	4	3	30
-黔	397	242	56
-路线	14	47	83
-黉	26	8	9
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-保甲	3	7	2
-鼻咽癌	6	5	4
-黍	79	95	62
-想起	11	30	2
-黎	1888	740	313
-黏	135	728	24
-手提	23	22	0
-黄	19361	5754	702
-拿下	10	11	0
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-理性	137	402	75
-黻	12	13	28
-各有千秋	1	0	0
-黹	3	1	1
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-僵化	0	0	4
-黾	13	8	11
-黼	32	9	29
-抢夺	9	13	2
-拍合	1	3	0
-鹿场	0	1	16
-房改	5	4	2
-泰晤士河	7	1	2
-黪	5	0	4
-传诵	4	1	2
-传说	113	768	1587
-轮值	0	2	0
-护士	122	318	73
-假根	3	1	0
-黢	1	0	0
-黠	41	1	35
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-少先队	12	19	3
-黥	13	8	7
-扒拉	1	5	1
-麟	142	645	1285
-匠心独运	1	0	0
-全家福	17	8	27
-大城市	19	9	0
-账面	12	6	0
-独舞	3	1	4
-方位角	3	0	15
-贲门	12	10	0
-麓	77	303	42
-赶趟	2	0	0
-拍发	0	1	0
-茶花女	11	4	27
-时报社	0	1	6
-打折	13	59	14
-麈	8	14	17
-第二国际	2	1	1
-理念	30	429	238
-手掌	27	3	12
-争鸣	7	22	50
-麇	18	3	2
-择偶	4	4	5
-俏皮	39	27	0
-传话	0	1	1
-守口如瓶	0	1	1
-戴高乐	21	18	10
-麽	3	12	4
-麻	1691	2100	434
-载人	26	57	0
-拖动	3	94	15
-意见	18	439	2373
-系统论	5	4	29
-麴	17	28	8
-邹城市	44	5	0
-传讯	2	0	1
-传记	17	406	114
-夸大其词	0	1	0
-拐卖	4	15	0
-现代戏	0	4	0
-佐藤	216	0	2
-赶超	4	10	0
-麦	2606	3663	278
-路经	0	1	0
-平面图	3	9	32
-患难	11	2	1
-打扮	40	18	0
-任选	6	3	0
-鹑	60	146	89
-打扫	10	6	0
-身板	0	0	1
-鹕	0	11	3
-鲁钝	2	0	0
-鹗	22	32	50
-打扰	1	9	5
-鹘	11	64	31
-独自	29	23	0
-使者	5	87	1
-鹚	1	6	1
-鹛	1	15	295
-鹜	10	22	21
-停放	3	12	4
-孺子可教	1	0	1
-鹞	15	45	43
-护墙	2	0	1
-鹃	18	136	242
-鹂	9	20	96
-鹅	403	1006	347
-鹄	60	53	96
-负面	10	9	1
-鹇	1	5	15
-鹆	4	18	5
-鹉	2	2	5
-鹋	2	3	0
-打打	3	6	1
-鹊	168	219	111
-鹏	220	1825	1896
-鹎	5	16	162
-打手	7	3	7
-鹳	48	76	31
-鹰	537	1365	629
-鹱	3	3	86
-当机立断	1	0	1
-选举权	1	1	2
-全球性	19	5	0
-冬运会	0	0	2
-鹾	20	7	6
-鹿	872	1495	360
-鹣	8	9	6
-身材	1	18	20
-愚蠢	28	11	4
-走走	4	4	7
-玉溪	258	40	2
-憨直	4	0	0
-鹤	711	1546	648
-鹫	67	66	46
-鹩	3	49	80
-鹨	4	30	74
-鹭	89	254	158
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-会谈	2	16	29
-铺集镇	0	5	0
-扒手	4	2	1
-飞行服	0	1	2
-交通运输业	2	2	2
-特辑	0	35	71
-鸟	573	2001	2156
-走路	16	10	11
-打擂台	1	0	2
-赏金	31	18	3
-偷懒	11	16	8
-炼油厂	6	14	16
-球心	5	1	1
-拍卖	51	629	81
-狼群	9	8	8
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-鸶	0	6	2
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-世界观	6	12	19
-鸲	13	86	104
-户数	0	0	8
-鸱	57	31	45
-鸾	205	177	174
-赛道	27	19	143
-鸿	872	4089	1077
-会话	24	366	212
-手持	84	73	1
-感召性	1	0	0
-扬弃	0	3	1
-鸽	127	682	738
-舞钢市	92	2	0
-伏贴	0	1	2
-鸺	5	40	2
-鸹	7	14	2
-鸥	45	84	221
-赎金	6	4	10
-纵横捭阖	5	2	2
-鸣	451	1503	1140
-惊醒	9	3	5
-鸢	109	174	67
-鸡	2327	6103	4479
-牵连	4	0	1
-鸯	4	2	9
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-鸭	720	2863	2058
-把子	3	4	0
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-鸫	10	64	390
-鸪	0	16	4
-鸩	18	4	10
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-介面	0	0	1
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-轻便	13	16	0
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-冷却剂	5	4	1
-现代感	2	0	0
-片面	6	0	3
-怀来县	11	0	0
-伪证	1	0	0
-随机数	5	4	1
-转关	9	4	5
-修理	21	190	70
-贵阳	561	78	14
-提示符	0	0	1
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-龊	2	5	3
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-龈	12	35	5
-龉	2	13	1
-龆	12	4	0
-拣到	1	1	0
-龇	3	3	0
-二黄	16	13	10
-龄	5	380	676
-欧米茄	8	4	3
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-龀	0	1	7
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-龟	580	693	860
-找平	1	1	4
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-食草动物	1	0	4
-龛	26	50	59
-龚	1802	90	11
-龙	8083	17358	8323
-仙人球	6	0	8
-黑亮	1	1	0
-跌落	18	95	5
-毛集镇	2	0	1
-隐花植物	1	1	0
-折子	5	2	4
-鱼雷	35	43	89
-扶强	2	1	0
-兽药厂	0	1	3
-阴阳人	0	0	1
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-赫连	32	2	0
-高脚杯	2	1	4
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-齄	5	0	0
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-技工	27	969	5
-持久	43	53	4
-招募	3	27	4
-生活版	0	0	2
-优越	10	12	1
-技巧	27	1405	2154
-齐	2472	2215	930
-佳节	1	8	10
-齑	10	16	21
-雪里红	27	6	12
-满天星	22	15	9
-兴安县	6	2	0
-信用	226	743	56
-赶路	1	1	0
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-亲和力	4	4	9
-二极管	12	26	109
-手摇	43	11	0
-报奖	0	1	1
-跟脚	1	1	0
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-拥军	6	1	53
-齿	424	1889	309
-新兴村	1	0	1
-跳绳	4	5	29
-巴儿狗	0	0	1
-报头	1	9	2
-布莱顿	14	7	6
-修武县	6	2	0
-特邀	3	4	0
-即使如此	1	0	0
-鼎	569	2616	1232
-鼍	25	11	12
-偷拍	10	2	2
-赤道	91	34	16
-嘉峪关市	21	1	0
-鼗	5	9	7
-高都镇	1	0	0
-鼓	435	574	595
-鼐	0	38	62
-载体	23	74	92
-报夹	0	1	0
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-链霉素	1	2	6
-双峰骆驼	0	1	0
-抽噎	0	1	0
-岁岁年年	0	0	2
-鼙	5	6	15
-路网	6	8	14
-拼争	0	2	0
-开盘价	0	0	2
-鼠	456	1261	844
-保留	35	71	22
-报复	13	12	42
-优质	256	474	1
-香附子	2	5	3
-打拳	0	0	1
-践约	1	0	1
-车刀	7	5	11
-鼽	7	1	1
-仿造	1	1	0
-起跳	2	9	5
-鼻	452	1177	178
-赛艇	3	17	16
-逯	89	11	2
-报刊	37	210	37
-公函	0	0	1
-逮	43	21	45
-逭	9	3	3
-再三	3	1	1
-逢	179	509	86
-逡	13	12	6
-造	343	1078	356
-逦	6	10	8
-公分	0	4	4
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-逸	476	1623	408
-逾	108	39	22
-逼	185	86	67
-水流量	2	8	1
-投向	1	5	0
-逵	20	35	143
-选	279	2393	1765
-逋	78	21	25
-逊	72	1180	740
-找回	32	29	1
-兔唇	3	18	0
-儋州	34	8	0
-全力	16	30	11
-透	380	973	115
-抵债	4	1	3
-党员	131	793	13
-送	1085	1276	238
-退	420	420	169
-内伤	37	7	0
-逃	794	376	109
-适	251	561	260
-逅	3	4	3
-逄	79	11	2
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-公判	0	1	0
-文艺报	1	3	1
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-逆	693	584	180
-专有权	1	0	0
-通	1880	9717	4865
-逛	43	98	7
-叠罗汉	1	0	10
-四部丛刊	1	0	0
-逝	76	101	112
-逞	103	9	19
-大嗓门	5	0	0
-速	686	4340	285
-再不	5	1	0
-逐	241	263	94
-逑	6	20	22
-贫血	22	41	145
-递	164	142	198
-途	72	467	371
-狼疮	15	6	8
-伤风	21	14	10
-逖	6	18	23
-逗	105	142	53
-遮	193	180	33
-马大哈	3	1	0
-遭	71	72	14
-襄阳县	2	0	0
-校尉营	1	0	0
-遨	16	15	12
-执委	0	1	0
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-遥	148	180	206
-辽沈战役	9	4	4
-遣	92	61	64
-抢劫	11	64	13
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-遢	3	0	0
-避	305	215	50
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-扭头	1	0	0
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-遍	47	257	32
-喜洋洋	22	30	10
-遏	50	39	51
-鱼丸子	0	4	11
-闪击战	4	2	9
-猖狂	0	0	3
-遄	17	6	3
-遇	123	538	200
-恬静	3	1	0
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-抵偿	1	2	0
-躯壳	0	0	5
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-遘	18	2	14
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-遐	215	46	59
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-遑	15	11	17
-道	2183	7436	4618
-邢	1362	535	13
-那	1543	2867	401
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-邡	1	83	5
-邦	724	3817	996
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-邬	400	18	4
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-睡美人	15	5	32
-邱	3472	271	42
-邰	101	8	6
-报务	2	1	0
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-邶	10	26	0
-邵	2079	181	44
-邴	60	2	3
-邻	441	277	188
-邺	38	32	29
-邹	2521	90	11
-邸	117	66	281
-邾	50	6	1
-犯罪	343	718	150
-摄氏度	1	0	1
-绝缘体	3	1	6
-邀	33	42	11
-邃	57	13	56
-邈	29	35	73
-公务	49	62	4
-公办	8	10	0
-邑	172	1010	457
-邓	4524	484	39
-邕	16	47	32
-邗	15	6	0
-兴农	14	25	3
-猕猴	27	34	39
-邙	21	21	4
-邛	46	26	4
-邝	244	7	1
-懒汉	7	1	1
-郦	137	50	7
-郧	66	13	4
-风景线	0	6	19
-先圣	3	2	5
-郢	71	80	33
-俘获	8	11	6
-光圈	13	6	11
-郡	142	600	1996
-房地产权	7	2	0
-郯	119	23	1
-抗命	0	0	1
-软组织	19	70	0
-筹备会	0	0	5
-郭	8534	709	80
-全区	1	13	1
-官僚资本	0	0	1
-泥菩萨	2	2	0
-部	121	2345	1676
-郴	21	19	12
-牛角	130	85	19
-佣金	10	14	26
-其内	0	1	0
-郾	37	5	2
-都	952	6616	1133
-内侧	11	9	0
-担任	0	9	0
-芳草地	6	5	2
-郄	58	6	16
-阵挛性	1	6	0
-郅	34	17	4
-郇	43	5	4
-主焦煤	0	1	0
-赤膊	2	1	0
-郁	595	501	300
-郎	610	1292	2095
-托尼	200	62	60
-郏	111	8	2
-郊	174	178	68
-关切	1	1	3
-畅通无阻	21	0	1
-库布其	2	0	0
-抢占	9	9	0
-郗	120	7	4
-手巧	0	7	1
-郑	8690	732	68
-郐	14	9	1
-手工	252	1046	108
-身姿	0	1	1
-郓	48	10	1
-修脚	6	7	1
-郝	1740	75	6
-郜	160	6	4
-言传身教	0	0	1
-猛犸	32	29	11
-郛	8	3	12
-鄹	0	7	0
-手巾	4	3	5
-鹿回头	9	5	1
-扬威	11	4	5
-赶考	0	2	2
-保荐	10	13	0
-心静如水	0	0	1
-鄯	8	9	2
-入口	12	35	13
-鄣	38	23	5
-鄢	235	26	7
-全厂	2	0	0
-猖獗	2	0	1
-鄙	122	27	81
-橡皮图章	1	0	0
-鄞	88	220	6
-再会	5	6	0
-成效	2	8	15
-找上门	0	1	3
-舞文弄墨	1	0	1
-山脚下	0	1	2
-稷山县	18	0	0
-鄂	501	272	65
-伴音	1	3	2
-手帕	12	3	15
-鄄	36	10	1
-所得	6	42	3
-酽	12	4	5
-酾	5	2	1
-干干净净	0	1	0
-酿	160	741	103
-愠色	0	0	1
-酸	1682	5013	2153
-酹	25	0	9
-报单	0	0	4
-酴	13	1	0
-酶	174	618	1064
-酷	1160	1493	201
-酰	34	2273	45
-己所不欲	2	1	0
-酱	1403	1881	783
-戏文	2	7	3
-笔墨纸砚	1	0	1
-酲	8	7	20
-桑蚕丝	2	1	2
-兜售	4	0	1
-护卫	16	75	33
-酬	190	388	89
-酯	19	832	2461
-酮	60	635	1060
-燃气具	4	6	0
-麻醉针	0	0	1
-赴考	0	1	0
-全县	0	102	4
-内债	0	1	0
-酥	632	1612	820
-养兵	1	0	2
-八卦	200	150	32
-酤	8	3	15
-公升	0	6	1
-扣子	4	3	2
-麾下	0	4	0
-酡	5	3	6
-报协	0	2	0
-酣	69	17	21
-成教	3	40	3
-酢	36	42	23
-酞	45	60	30
-服务生	2	2	18
-超低空	3	1	0
-成文	16	10	0
-酚	58	554	306
-企鹅	266	317	189
-珠子	10	21	14
-器械体操	0	0	2
-情趣	31	46	20
-酒	967	3500	3574
-酐	0	64	59
-酏	3	2	2
-酎	6	1	17
-热效率	0	1	12
-配	270	1442	235
-酌	51	37	58
-酋	8	10	17
-酊	1	11	155
-成数	3	0	2
-酆	42	20	5
-兼具	0	1	0
-酃	9	7	1
-球场	25	18	405
-醵	15	1	8
-幼儿教育	28	72	4
-伸懒腰	0	1	2
-醺	8	4	4
-偶然	50	27	15
-醢	8	2	20
-超级	2950	1504	0
-公历	4	0	0
-猜猜	34	55	1
-侵袭	9	12	26
-恶霸	8	3	7
-落花生	5	1	1
-供词	0	0	1
-醭	2	1	2
-麦冬	86	84	34
-醮	33	12	33
-假相	2	4	4
-醯	8	24	4
-公厘	0	1	0
-担保	76	845	122
-醒	155	438	140
-商品化	3	7	5
-醑	2	1	15
-入味	1	3	1
-醐	0	12	7
-公厕	11	8	15
-圣玛丽亚	8	6	2
-兴办	0	7	0
-醛	22	212	244
-珠宝	136	499	167
-全名	1	0	0
-醚	11	221	351
-猫熊	5	0	3
-重见天日	0	0	4
-波斯菊	2	3	9
-超绝	7	2	0
-球坛	1	0	0
-批复	0	7	58
-王族	8	9	4
-偏瘫	14	10	6
-成方	5	10	12
-充塞	0	1	0
-马来西亚	299	35	15
-恭顺	3	0	1
-醇	158	882	980
-醅	6	3	26
-猞猁	5	4	11
-醋	544	1119	248
-醉	741	803	196
-跟班	2	7	4
-醌	6	39	87
-醍	15	26	14
-蹬技	0	0	1
-滑稽戏	1	0	2
-布鲁金斯	3	0	0
-兵力	0	4	0
-主持人	27	58	20
-车务段	0	1	44
-拔丝	133	14	4
-才干	0	1	5
-贴补	1	3	1
-狞笑	0	0	1
-养分	21	23	10
-山羊绒	0	1	1
-扇形	49	9	0
-金	16998	21554	3276
-历史课	0	2	0
-麦农	2	0	0
-灵敏度	5	21	33
-抛售	1	0	4
-爪部	0	1	0
-打工	55	71	22
-举报人	0	0	1
-鱼钩	6	2	2
-采	486	1282	366
-终身制	3	0	1
-体工队	0	1	0
-农业	1073	5562	298
-赤芍	13	6	5
-野	1483	2959	513
-全员	37	22	0
-量	245	1487	1017
-里	1735	22044	3390
-重	2733	2903	451
-军中	22	16	3
-释	690	691	474
-见面礼	0	0	2
-农专	0	0	1
-釉	98	1985	214
-身家	1	2	0
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-软刀子	1	1	1
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-鸡年	8	0	5
-兴会	1	2	7
-同步卫星	0	1	2
-百合花	24	11	18
-涿州市	29	2	0
-狼獾	1	3	0
-报名	5	76	4
-美术馆	20	64	404
-越级	11	0	0
-承重墙	1	0	2
-拆借	2	22	14
-保育	7	39	13
-阿托品	10	7	6
-扬子	89	73	4
-技士	0	1	0
-佐野	34	3	1
-拉倒	0	0	2
-路牌	1	1	3
-扩容	3	1	7
-化学性质	0	0	3
-玩弄	4	5	0
-制造商	1	12	7
-烘云托月	1	0	0
-战斗	241	480	901
-超编	1	0	0
-球台	0	0	4
-牛蝇	1	0	0
-报告	25	1821	3241
-意蕴	3	12	30
-小博士	30	29	0
-拒付	2	0	1
-满堂红	11	9	4
-物理疗法	0	0	3
-身子	1	1	1
-招生办	1	0	5
-公假	0	1	1
-竹园镇	0	5	3
-石家庄	1948	177	11
-白血病	26	25	78
-公债	20	8	9
-河西镇	0	1	1
-鉴	199	896	2018
-动脑筋	7	2	1
-具体	25	91	0
-銎	2	27	1
-木质部	2	0	7
-钕铁硼	16	4	3
-战旗	8	17	16
-先哲	6	7	3
-琴书	3	1	25
-球员	3	31	39
-冀中	34	10	1
-身居	1	0	0
-拘于	0	1	0
-其余	1	1	6
-野葡萄	3	0	2
-兑取	1	0	2
-冀东	45	19	2
-环幕	6	4	1
-銮	27	73	165
-形影相吊	0	0	1
-闲庭信步	1	0	0
-理发	6	12	6
-入党	37	73	2
-打平	4	0	0
-牡蛎	110	89	78
-儒学	67	155	33
-行云流水	6	0	0
-狂笑	4	1	1
-偷渡	3	6	1
-片言	5	0	0
-三极管	8	5	20
-党务	17	55	0
-过日子	5	3	7
-赭色	7	2	0
-兴修	0	2	2
-倒立	14	9	9
-赣莲	1	0	0
-鋈	1	10	6
-户户	2	0	0
-非同寻常	7	3	0
-全党	2	5	0
-扫射	1	3	4
-戏本	0	0	2
-伙食	4	7	2
-超群	8	15	68
-鸽子	64	109	54
-儒家	156	120	11
-肝吸虫	1	2	4
-输尿管	28	18	3
-理合	4	1	0
-香蕉叶	1	1	0
-集体经济	2	42	3
-体重	16	31	12
-动滑轮	0	0	1
-标志牌	0	1	9
-戏曲	75	404	32
-木偶剧	0	6	2
-或是	0	2	0
-手心	18	7	8
-抽出	5	7	0
-战时	0	2	0
-山羊肉	0	4	6
-扫尾	3	0	0
-惠安县	35	1	0
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-儒将	0	3	2
-乐滋滋	0	0	2
-香草醛	1	0	2
-扬尘	2	13	2
-想见	5	9	0
-公正性	0	3	1
-猎物	2	10	18
-錾	29	128	1
-修缮	4	22	4
-白斑病	0	0	29
-腐蚀剂	1	0	0
-养伤	0	1	0
-成本	233	772	533
-独白	5	11	31
-全兴	5	15	17
-踱步	0	0	1
-阅读器	0	15	112
-做爱	7	2	6
-猛烈	2	1	1
-可锻铸铁	0	0	3
-手快	1	5	0
-打开	136	43	10
-扩展	70	135	47
-败诉	0	2	2
-邵阳市	90	9	0
-才思	2	3	0
-猛然	1	0	0
-传颂	8	1	2
-档案柜	1	0	2
-珍宝	45	64	34
-利君沙	1	0	0
-侵蚀	37	74	60
-第三国际	1	0	0
-鸿宇	1	17	10
-飞行物	1	3	5
-伸长	8	18	9
-猎犬	14	44	261
-牛街	25	16	2
-定襄县	20	2	0
-动不动	1	2	0
-统计学	104	190	139
-法学家	3	15	8
-真理观	0	1	2
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-成材	1	8	17
-公允	16	10	1
-鍪	1	1	5
-折回	2	1	0
-党参	233	133	45
-现形	1	17	1
-会馆	1	66	691
-前程锦绣	0	0	1
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-跌破	5	0	2
-鎏	188	307	35
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-红男绿女	0	0	2
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-海珍品	2	8	0
-戒条	0	0	2
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-惦记	1	1	4
-抽动	7	10	2
-费解	0	0	2
-人面兽心	2	0	2
-统计局	0	39	293
-猎狗	3	6	8
-例证	1	1	6
-鸡心	21	23	48
-余量	2	1	13
-多级火箭	0	1	0
-冷冻箱	1	0	4
-村支部	1	0	0
-拜佛	3	3	2
-计程仪	1	0	8
-片警	3	0	0
-戏校	0	1	1
-英吉利	33	10	1
-质询	2	2	3
-全剧	0	1	2
-把头	0	3	4
-贝贝	110	84	70
-不锈钢	702	1308	273
-入射点	0	0	1
-高度化	0	0	1
-迫击炮	4	8	149
-世界级	7	13	1
-问候语	0	0	1
-佛释	0	2	0
-内亲	1	56	0
-起航	13	15	28
-感受器	1	2	38
-公决	0	1	1
-倒算	0	1	0
-老黄牛	3	1	0
-高聚物	24	7	3
-质证	3	0	0
-起舞	4	6	0
-惜败	0	1	0
-伴随	71	13	0
-边防军	0	3	3
-党史	32	138	13
-内人	1	3	8
-现役	6	25	0
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-手头	1	0	0
-蓬溪县	8	1	0
-实际工资	1	1	0
-鑫	535	4761	804
-入伙	2	0	4
-入会	1	0	0
-入伍	3	17	4
-克制	0	8	2
-公主	466	1357	1791
-倭瓜	5	1	2
-机械能	2	0	0
-抢亲	3	3	3
-共产国际	6	4	2
-贬词	1	0	0
-手套	13	80	293
-物议	1	0	2
-承包	9	304	26
-战役	24	230	1659
-缓冲区	4	4	7
-低迷	0	4	0
-批发	17	533	13
-物证	7	33	8
-免刑	1	0	0
-敲诈勒索	1	1	0
-全心全意	1	0	1
-鸡屎	16	3	1
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-专用车	4	39	7
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-年青人	1	1	0
-白日梦	10	5	16
-先前	0	1	2
-鸠山	16	2	1
-爆冷门	1	0	1
-鐾	0	2	1
-停滞	7	8	9
-把关	4	4	1
-临猗县	39	4	1
-报丧	2	1	0
-超高频	13	2	0
-指令性	2	1	0
-酸辣汤	2	0	69
-众院	0	3	1
-贬谪	2	5	0
-例行	14	8	0
-铯	12	9	29
-铬	123	246	67
-才女	11	54	15
-铭	248	1745	1506
-一条龙	3	9	11
-铪	7	8	19
-铫	7	5	10
-报仇	3	5	7
-铨	65	72	349
-铩	6	4	6
-泰晤士报	1	3	2
-铧	24	37	31
-传闻	12	8	6
-铥	0	0	2
-公仆	7	7	11
-铢	35	14	23
-铣	43	211	71
-铡	11	15	9
-铿	24	19	101
-链	261	1586	589
-铽	1	1	8
-铼	9	25	17
-承印	3	1	5
-铺	228	1221	337
-屡试不爽	1	2	0
-铹	1	0	0
-铸	162	661	173
-铷	6	1	17
-银	2646	4270	1076
-高人一等	0	1	0
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-铳	28	25	66
-铲	62	80	65
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-猴王	27	33	21
-铱	16	25	20
-八仙	148	111	35
-铰	45	62	18
-铌	33	41	19
-铍	34	39	33
-假牙	4	3	3
-铎	22	202	443
-入侵	73	229	187
-关上	16	6	0
-铈	9	21	21
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-铉	10	62	117
-铊	5	13	48
-铋	15	65	56
-铅	179	311	132
-铆	11	34	5
-铀	84	115	49
-铁	2195	4416	883
-铂	156	340	71
-铃	134	491	504
-铝	418	1368	218
-铜	1360	2272	280
-铟	13	18	26
-铞	1	2	1
-敌百虫	0	0	1
-铙	15	18	41
-铘	0	3	1
-报价	21	91	57
-铛	16	32	46
-房子	17	263	212
-马歇尔	51	19	45
-起草	0	9	1
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-全体	7	69	5
-选举法	2	5	5
-铗	5	36	16
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-铖	0	20	34
-铑	7	51	23
-铐	2	2	6
-牛头山	13	2	6
-铒	3	3	8
-钪	7	9	10
-钫	0	6	35
-钨	129	133	26
-鸭子	77	101	154
-钩	381	542	314
-无名氏	1	2	4
-钮	149	133	36
-低速	32	10	1
-钯	47	77	46
-钬	3	4	3
-上呼吸道	2	5	0
-钭	11	3	1
-钢	808	2736	1262
-钣	74	196	3
-钠	80	698	1081
-公事	3	3	11
-钡	22	60	67
-钦	473	888	821
-六书	24	5	0
-钧	180	539	1074
-钤	40	22	41
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-钺	6	26	186
-不耻下问	0	0	2
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-钿	39	37	69
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-钽	26	38	10
-钼	88	128	30
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-钲	12	19	24
-钱	3280	1475	1004
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-钵	62	161	211
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-珍惜	43	30	18
-钉	97	246	148
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-钙	242	634	289
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-钚	11	8	17
-钝	250	210	72
-钜	80	149	45
-钟	3036	1553	1012
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-镍	104	227	76
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-锰	69	178	70
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-现场	260	762	158
-黑色	551	161	16
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-基本矛盾	0	1	2
-打靶	8	7	17
-偏将	0	0	4
-胭脂红	11	11	4
-牛肉	705	1373	1468
-使用	67	2161	168
-珠兰	7	2	5
-跃然	0	0	1
-帘子布	0	1	1
-狗熊	9	4	6
-拦海大坝	0	0	1
-燕郊	43	19	2
-作祟	1	3	2
-赎罪	14	4	9
-低等	7	0	0
-曼哈顿	66	50	23
-书面	24	91	1
-五金	55	1891	31
-乡音	2	3	4
-地动山摇	0	1	0
-赏罚	8	1	4
-虚拟盘	0	0	1
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-儿童团	0	1	5
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-精神衰弱	1	0	0
-爬虫	22	10	10
-辐射面	0	1	0
-自由党	1	0	23
-贴花	10	64	10
-奥里诺科河	1	0	2
-邓州市	28	0	0
-黄荆	24	5	8
-精神文明	4	42	8
-酋长国	2	16	17
-走穴	2	0	0
-云量	0	1	1
-新民主主义革命	4	6	0
-扉页	0	1	2
-乌孜别克	11	3	0
-佛祖	34	10	6
-姑妄言之	1	0	0
-贫苦	0	3	0
-义马	24	7	1
-王官	46	5	0
-搅拌	38	154	4
-打非	1	1	0
-挛缩	3	8	14
-亢进	2	31	26
-做媒	0	1	1
-一般来说	0	0	1
-来复枪	0	0	1
-培训部	3	0	10
-王室	22	21	23
-伤者	0	3	0
-现在	114	115	35
-修枝	0	1	0
-破碎机	6	27	302
-进口税	0	1	1
-依照	0	1	0
-打雷	2	6	2
-机械手	8	11	30
-偏安	1	0	0
-民政部门	1	0	0
-玉宇	3	4	11
-债市	1	1	0
-踏板	12	14	14
-假山	12	10	7
-倒挂	14	7	17
-傻事	0	1	3
-王孙	30	24	12
-小本经营	0	1	0
-报账	1	4	0
-福塔莱萨	1	0	0
-承重	7	5	1
-磨光机	0	2	11
-依然	35	52	30
-快速化	0	0	1
-王子	468	732	606
-黄莺	17	8	4
-撞倒	1	2	0
-扑面	0	0	1
-鼎立	6	41	8
-健壮	5	2	3
-子母机	1	0	1
-起程	0	0	5
-前所未闻	0	3	0
-井田制	0	1	1
-优胜	8	10	2
-挺立	7	2	5
-抢购	2	6	5
-班会	2	11	3
-鸟雀	1	0	1
-黑脸	48	5	4
-贪色	0	3	1
-低空	18	27	0
-排灌	9	9	1
-贰臣	2	2	1
-俭朴	0	1	5
-公安局	2	169	384
-麦蚜	1	1	0
-体积	49	72	32
-撩乱	0	0	4
-黏膜	13	32	3
-绘图仪	1	2	5
-高锰酸盐	3	1	0
-贴膏	1	0	39
-便池	1	4	2
-圣克鲁斯省	0	0	1
-会聚	9	4	4
-美国队	1	0	0
-鸡雏	1	7	1
-身后	7	12	7
-揶揄	0	0	1
-爬山虎	7	1	6
-灶王爷	1	1	1
-马蹄金	3	0	2
-百分表	4	0	6
-启动器	0	7	34
-倒扣	10	2	1
-催促	1	1	1
-平平安安	0	3	0
-公寓化	1	0	0
-肠系膜	21	9	3
-投身	0	1	0
-乳钵	1	0	0
-提梁	11	153	0
-开放性	26	13	0
-倦怠	2	18	6
-三星级	3	6	0
-书院	35	199	0
-牛群	6	4	1
-供热	38	170	8
-押解	1	2	2
-横结肠	0	1	0
-推测	7	3	0
-小品文	2	9	20
-人证	1	2	1
-九霄	25	5	27
-亭台楼阁	0	2	2
-麻药	0	4	7
-位移	29	106	49
-狼毒	13	3	13
-玄孙	1	0	1
-硅单晶	2	0	0
-讲解员	0	3	6
-黏胶	1	1	0
-圣安德列斯	4	0	0
-接济	0	0	2
-铁甲车	1	0	0
-负荷	53	187	122
-手面	0	1	2
-搀扶	3	0	0
-做好	52	863	7
-批量	21	50	4
-提案	2	420	26
-倩影	5	7	8
-万马奔腾	2	0	0
-贵胄	1	2	4
-流光溢彩	2	1	2
-狼毫	3	4	0
-亚运	36	32	6
-掌灯	0	2	1
-李家沟	7	1	0
-货色	0	0	1
-口碑载道	1	0	0
-东钱湖	15	11	1
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-玄学	10	23	10
-黄色	136	134	3
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-摹印	3	0	0
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-明信片	8	52	81
-排他性	4	3	1
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-创建者	1	3	0
-打闹	2	0	0
-走禽	1	2	0
-手雷	9	5	13
-德惠市	26	0	0
-豪饮	1	1	0
-蹊径	0	3	6
-演职员	1	0	0
-跨步	2	0	0
-遥控器	3	12	46
-会考	2	11	5
-打防	1	0	0
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-于都	39	5	1
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-假定	11	0	10
-黄芪	318	166	42
-便民	6	125	2
-跳槽	7	10	0
-子宫癌	0	0	2
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-黄花	451	299	67
-姗姗来迟	1	0	0
-敲门声	0	2	4
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-横纹肌	12	6	0
-书香	66	79	0
-催化	80	169	32
-抄送	3	0	1
-包装盒	3	7	6
-扇面	15	124	61
-监察部	2	6	3
-天山南北	3	0	0
-乌鲳	1	0	0
-猝死	4	22	11
-摇头	19	2	5
-插条	1	0	0
-睡眠疗法	0	0	1
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-班列	3	1	2
-肺动脉	25	17	0
-排演	0	0	1
-党工委	0	2	4
-乾隆	243	778	19
-理会	0	8	2
-宾夕法尼亚州	5	0	0
-文化馆	2	8	248
-望闻问切	0	1	1
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-介质	33	145	88
-麦角	30	38	0
-爬行	30	26	5
-走神	1	5	1
-鼾睡	1	0	5
-货舱	9	3	2
-龙江	103	136	27
-养殖场	5	18	106
-网络版	7	17	39
-乌鱼	22	33	24
-跳楼	9	22	0
-赠答	0	2	1
-玉帛	3	1	6
-货船	4	11	10
-莱茵河	21	10	10
-球体	12	18	10
-实地调查	1	1	1
-玉带	67	107	22
-信步	20	2	5
-倒数	28	18	16
-京郊	13	4	1
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-作家群	0	5	19
-龙汇	4	16	0
-出版者	1	1	1
-贤良	10	4	18
-丹麦	220	41	10
-推求	1	0	0
-产业革命	1	1	8
-光照度	1	1	1
-趁着	3	0	0
-催办	0	0	1
-枣岭乡	1	0	0
-单细胞	15	1	0
-插曲	1	3	13
-报警	33	293	28
-金圆券	2	0	1
-自由化	1	35	13
-作答	0	3	0
-偏差	11	29	94
-贞节	11	14	0
-跳棋	2	25	83
-戒毒所	0	8	14
-委员会	2	2142	4148
-柴达木	29	5	0
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-特约	18	40	2
-特级	67	90	1
-投资	588	8022	636
-越界	16	9	7
-传艺	0	3	3
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-理事	2	4	1
-亲近	87	16	3
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-傣历	0	0	1
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-全音符	0	0	2
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-第一夫人	4	6	0
-红丹丹	0	1	0
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-以西	4	2	5
-熟食	6	10	4
-承运	9	32	6
-雷达网	0	0	1
-牙色	0	1	0
-哥伦比亚	139	76	6
-石油气	1	42	1
-借据	0	1	1
-放贷人	2	1	3
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-珙县	11	5	0
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-牛舍	0	1	1
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-鸽镇	0	0	1
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-揣摩	1	2	0
-牵线	2	1	0
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-野外工作	0	1	0
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-手锯	1	0	0
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-排涝	3	5	2
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-自行车	102	461	217
-狐狸	160	152	123
-亲身	1	10	0
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-持续	92	999	5
-大黑汀	1	0	0
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-房门	0	5	3
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-房间	29	191	414
-伍维	2	0	0
-鼬獾	0	0	1
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-战无不胜	5	2	9
-马蹄铁	1	0	1
-批判性	14	19	0
-黏结	9	14	6
-现存	5	3	1
-猜测	4	2	5
-内燃机	70	62	12
-唐海县	12	0	0
-牛蒡	198	109	57
-主题	135	742	267
-主顾	1	0	0
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-班吉	6	7	2
-黑红	6	6	2
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-东莞市	4552	21	0
-全息照相	1	0	0
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-鼎盛	44	110	9
-邛崃市	18	1	0
-牧草	54	38	16
-馅儿饼	0	0	1
-狐皮	2	2	1
-投诉	7	112	33
-小提琴	105	215	37
-乐队	20	87	1195
-倏忽	3	1	0
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-现实	62	269	128
-狰狞	6	1	4
-挂红	5	0	1
-投诚	1	2	2
-手铐	4	5	7
-拘留所	0	1	6
-平乡镇	0	1	0
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-九尾狐	14	4	9
-交谈	1	17	12
-砀山县	25	1	0
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-油气田	37	46	8
-赴约	0	0	1
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-据点	1	3	10
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-黄羊	29	19	11
-独特	38	53	1
-之间	1	265	249
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-伫立	0	2	0
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-所长	0	6	15
-公用局	0	1	4
-握拳	3	0	0
-鸿运	53	58	6
-狩猎	84	178	36
-拦腰	2	0	0
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-之际	0	51	17
-乳酪	92	299	17
-丽音	5	5	3
-血吸虫	18	42	1
-洋华堂	0	0	1
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-马头琴	6	2	3
-一齐	6	0	1
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-作用	25	281	955
-亲见	0	1	2
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-踏歌	11	10	4
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-乳酸	89	56	12
-乳酶	3	0	1
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-冷凝物	0	0	2
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-天生我材必有用	1	0	2
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-搭头	0	0	1
-东魏	13	8	0
-乐平市	13	1	1
-拉法耶特	3	0	0
-齿根	10	5	0
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-拓荒	9	4	0
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-珊瑚树	0	0	3
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-伯祖	1	0	2
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-五谷	139	52	0
-苹果酸	21	11	7
-丹青	50	45	44
-贮藏	11	172	18
-拔节	2	6	0
-亚太经济	11	7	0
-苹果酱	4	1	7
-止痛药	6	3	2
-拖船	4	2	3
-久间	1	18	1
-捕猎	7	5	3
-交响乐	11	18	19
-中华人民共和国	3480	754	1
-中风	67	21	31
-豚鼠	9	3	11
-八音盒	2	2	9
-京西	33	30	1
-广州湾	9	3	0
-招致	0	1	0
-演化史	0	0	4
-截面	17	31	32
-难兄难弟	2	0	5
-王府	50	108	132
-拉萨	245	185	68
-摘取	2	1	0
-狡猾	11	5	1
-就事论事	1	0	0
-琐事	1	7	7
-提携	1	3	2
-供油	5	3	2
-乌镇	61	10	11
-侠气	1	0	1
-报表	19	244	3
-高年级	5	14	9
-全球通	20	14	4
-稳中求进	1	0	0
-援引	1	1	0
-乡间	17	11	0
-摹仿	5	1	0
-档案库	1	1	3
-传统	499	1795	129
-雷达站	0	0	6
-正处级	1	0	0
-投资司	0	0	2
-乐音	2	5	3
-信条	0	39	28
-伟绩	1	0	2
-挽留	3	1	6
-赞美	17	20	5
-家常话	0	0	1
-收信人	1	2	0
-燕雀	12	5	8
-援建	0	3	0
-包装物	2	3	0
-冷加工	2	7	4
-牛虻	9	1	8
-水泥板	1	3	10
-受不了	6	2	1
-卡纳克	6	0	0
-互连	5	35	10
-玉兰片	12	4	15
-小站稻	1	0	1
-世界大战	9	82	34
-因式分解	1	0	0
-游乐业	0	1	1
-本体论	7	26	21
-特茹	1	0	1
-海商法	20	17	4
-主考官	0	1	0
-费尔法克斯	2	1	2
-赤红	15	4	2
-魁北克	48	6	0
-春华秋实	7	2	7
-黛绿	3	0	1
-大块头	2	0	4
-游泳池	18	9	45
-撂下	1	0	0
-偿命	0	27	14
-二郎	63	47	68
-牛蛙	23	26	102
-语源学	0	1	1
-打量	0	1	1
-宽银幕	2	8	4
-理化	27	73	2
-互通	41	29	19
-天秤座	11	3	6
-捐献	9	22	5
-交叉点	0	1	12
-乡长	2	10	3
-拦网	0	0	4
-果子露	2	1	4
-鹏运	1	8	1
-龙腾虎跃	1	1	0
-越秀	89	73	4
-罗得岛	7	0	0
-奉辛比克党	0	0	1
-狸猫	19	7	7
-节拍器	0	0	3
-珍奥	11	3	0
-老黄历	0	1	3
-交费	0	1	0
-零配件	1	50	0
-提拔	3	9	2
-承认	10	48	8
-时刻表	0	3	8
-不齿	2	2	5
-揪心	1	1	0
-乘除	1	8	4
-濮阳市	237	6	0
-挨着	0	1	0
-偏好	10	36	25
-搞好	2	8	0
-京谷	1	1	0
-修改	11	828	26
-七星针	1	0	0
-乡镇	73	177	33
-特色	133	946	21
-麻花	53	74	79
-珍奇	10	8	6
-交货	13	15	29
-催产	2	1	0
-揉搓	2	0	0
-九阳	136	19	8
-优美	44	72	22
-也门	35	13	3
-信札	0	11	15
-健在	0	3	4
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-搪塞	0	0	1
-松花蛋	11	4	31
-鹿角	104	62	4
-信望	0	1	0
-拉马拉	0	6	1
-义项	1	2	1
-狼狈	10	1	2
-书铺	0	0	1
-奉化市	111	0	0
-打酒	1	0	0
-信服	0	11	1
-铁路桥	1	4	9
-承诺	39	49	107
-随机码	0	2	1
-乘隙	2	0	0
-狼狗	1	1	5
-牵牛花	11	9	9
-修整	2	13	3
-自然规律	1	0	0
-揭开	44	69	1
-散文家	0	3	0
-插手	0	7	0
-成风	1	2	14
-进化论	13	20	98
-惠灵顿	39	2	0
-搋子	0	0	1
-抗衡	0	2	0
-一省两地	0	1	0
-批语	0	1	0
-样子沟	1	0	0
-推杆	5	9	13
-绝对温度	1	0	0
-探查	1	12	3
-偷听	6	1	1
-可逆性	8	2	2
-萨瓦河	2	0	0
-大开眼界	3	19	0
-怒发冲冠	0	0	1
-为首	0	0	3
-招考	3	93	3
-米老鼠	60	10	8
-库图佐夫	2	2	2
-拨给	0	2	0
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-路沿	5	10	0
-截门	0	0	1
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-赛纪	0	1	0
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-乌合之众	2	1	1
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-偏失	0	0	1
-折衷	12	20	3
-招聘	73	1073	56
-事迹	2	67	29
-猪油	56	34	6
-环岛	13	45	8
-鼠疮	0	0	1
-过敏原	4	2	5
-倒悬	5	1	4
-渐近线	0	1	1
-成飞	4	8	6
-鼠疫	17	11	13
-假面舞	6	10	1
-贼船	1	0	1
-起笔	2	0	0
-乐陵	19	4	1
-克分子	2	2	0
-发展观	1	241	44
-打造	188	258	16
-伏罪	0	0	1
-打通	9	5	1
-拜占庭	36	5	7
-逃亡者	10	0	7
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-儿童剧	2	7	0
-数九寒天	1	0	0
-理入	0	1	0
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-主食	6	55	61
-傣乡	3	0	0
-揭幕	0	2	0
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-理光	122	2	2
-葛仙米	3	0	5
-起立	2	0	1
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-提手	1	5	0
-二轻	1	7	0
-低矮	6	1	0
-检验单	0	1	2
-审判权	1	5	2
-估算	4	42	26
-脱水机	2	2	34
-珍珠港	14	5	12
-批评	36	380	153
-争辩	1	2	3
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-偌大	1	0	0
-黑线	30	6	3
-保暖	13	27	1
-揭底	2	2	0
-托辞	0	0	1
-罗马帝国	20	9	7
-偶合	8	11	1
-韬光养晦	1	0	0
-朴次茅斯	6	2	0
-提成	3	4	1
-黑纱	2	1	0
-丫鬟	4	18	15
-搞垮	1	1	0
-措施	3	153	210
-猜想	4	21	99
-侦破	4	15	3
-画地为牢	0	0	2
-黑种	3	1	0
-摇动	3	2	2
-揽客	0	0	1
-现任	0	2	0
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-现价	1	1	0
-团圆年	1	0	0
-打车	3	0	2
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-岳阳市	150	14	0
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-打转	1	0	0
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-俗物	2	0	0
-吕梁山	7	3	0
-田野工作	1	3	0
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-现今	3	6	0
-伞衣	3	0	0
-陪审制	1	1	0
-指示	41	99	35
-地心引力	3	3	0
-大吉大利	4	1	0
-探测仪	0	5	75
-海狸鼠	2	0	0
-推断	2	15	18
-赘疣	1	0	0
-林口县	14	1	0
-螺旋桨	17	17	9
-全国工商联	7	0	0
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-反坦克雷	0	0	1
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-倾斜	58	38	8
-李时珍	20	5	6
-头盖骨	0	5	4
-南山村	0	1	9
-现代	7609	5187	88
-挪用	12	3	1
-值日	0	0	1
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-麻糖	5	3	10
-子母弹	1	0	5
-谷风	2	42	9
-天马行空	4	1	0
-牲畜	9	13	2
-货箱	0	0	1
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-摆动	32	17	8
-揣度	0	0	1
-飞机场	14	3	20
-花都市	0	1	1
-走狗	1	4	0
-停战	3	26	2
-知人论世	1	0	1
-太空人	9	1	4
-跟斗	3	0	3
-圣何塞	14	7	4
-揭帖	0	1	0
-猴年	2	1	0
-摩伊	3	0	2
-佳绩	1	1	0
-奴隶制	6	5	10
-精品店	2	10	12
-毒蜘蛛	12	6	3
-接替	1	7	1
-鼻涕	28	10	4
-鸟迷	0	1	0
-无处不在	11	11	18
-水平仪	1	1	13
-会见	3	9	3
-扑通	1	5	0
-惹是生非	0	1	0
-王后	44	63	78
-腰缠万贯	1	0	0
-煎饼	20	47	481
-马蹄表	0	0	1
-玩偶	57	66	87
-亲闻	0	0	1
-账簿	4	6	31
-掩映	1	3	0
-五香	463	153	0
-豆面	27	27	5
-独有	7	0	0
-所里	0	3	0
-胡萝卜	773	608	153
-亡命徒	3	0	1
-父系	8	3	0
-德意志	94	40	7
-蓝田猿人	3	0	0
-以牙还牙	2	0	4
-珍珠梅	4	1	6
-以远	1	1	0
-败类	3	0	10
-民族自决	1	0	0
-探望	1	0	1
-入学率	0	0	6
-排椅	0	0	1
-独木	23	8	0
-黑窝	2	1	0
-仪轨	1	2	9
-亟须	1	1	0
-福尔马林	3	0	0
-抽芽	1	0	0
-人有旦夕祸福	0	0	1
-鼓点	0	0	1
-九鼎	67	69	17
-侵略	32	29	14
-拒绝	72	55	13
-存款单	0	1	1
-独断	2	0	2
-掳掠	0	2	1
-排枪	0	0	1
-急性病	4	1	0
-栖息地	4	8	18
-现世	15	5	4
-起点	49	378	95
-鹿苑	14	7	6
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-还原铁	2	2	1
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-掰掰	2	1	1
-承袭	1	7	1
-犯法	0	1	1
-踏平	2	1	0
-航海图	0	2	5
-郭庄镇	0	7	0
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-体能	13	49	4
-急刹车	0	1	0
-尽管如此	1	0	0
-漆包线	5	7	2
-产门	1	0	0
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-接收	19	90	10
-戏院	1	4	28
-熟路	2	1	1
-作者	14	56	16
-貔貅	2	1	12
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-九龙	404	327	26
-手边	0	12	0
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-利库德	1	0	0
-林州市	49	2	1
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-做成	0	14	0
-猎户	12	5	1
-保护主义	1	3	9
-井冈山市	13	0	0
-猎手	15	66	116
-表现性	4	1	1
-闻鸡起舞	1	1	2
-洪湖市	26	1	0
-产院	0	0	2
-阴阳家	5	0	2
-青狮潭	5	1	1
-猪年	0	0	1
-手软	1	1	0
-垂直线	2	0	1
-侨眷	1	25	1
-沃尔夫斯堡	3	0	1
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-戒除	1	3	0
-排查	0	82	8
-车公庄	4	0	0
-探明	2	8	1
-狂欢	21	51	69
-库尔德	17	7	2
-抄袭	2	12	1
-优裕	1	1	0
-所部	0	0	2
-从重	3	1	4
-发布会	0	9	20
-县乡镇	0	9	0
-开天辟地	14	2	5
-棉子油	0	1	0
-交集	2	5	4
-产险	0	0	5
-玄参	41	16	37
-挠痒	0	3	4
-贝类	21	22	7
-百分通	1	1	0
-宁晋县	21	4	0
-爱美	47	56	25
-山山水水	1	0	0
-千回百转	0	1	0
-倒流	11	24	17
-乳齿	4	12	0
-文化部	92	23	2
-赫然	4	1	0
-天鹅绒	15	10	4
-登月舱	0	0	1
-财税	49	234	0
-成长	449	2644	380
-鸡蛋羹	0	0	103
-货票	0	0	1
-跋文	0	0	1
-数据库	539	949	376
-江夏区	19	17	1
-偏方	13	67	59
-打赌	4	1	4
-猜拳	4	6	7
-代金	7	10	3
-偏旁	3	27	4
-贡税	1	0	0
-马龙县	6	0	1
-打败	11	22	5
-掌权	2	6	1
-偷情	19	10	6
-换汇	2	5	2
-麻线	7	5	5
-插座	6	18	96
-麻纱	1	2	2
-拉线	18	11	5
-拖累	1	5	1
-拉练	0	3	0
-鸡毛蒜皮	3	0	1
-麻纺	0	6	0
-摄像	30	90	22
-沙湾镇	2	1	2
-佳能	1027	48	3
-大暴雨	0	1	3
-照顾	41	40	4
-玉器	39	164	106
-假条	0	0	2
-银行家	11	21	19
-会试	0	3	2
-润滑油	60	186	94
-拉美	69	51	7
-会诊	4	38	15
-谷雨	15	4	1
-比目鱼	19	5	40
-麻绳	3	7	2
-售票处	0	0	1
-掌柜	6	17	26
-会计	1035	4162	649
-贼眼	1	0	0
-动干戈	0	0	1
-万有引力	14	4	2
-铜版纸	3	0	3
-黏米	1	1	0
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-政制事务局	0	0	1
-所有制	10	42	14
-伙计	1	4	8
-打趣	0	0	1
-制动阀	0	2	3
-佳肴	5	11	19
-核导弹	0	1	2
-拉网	3	8	12
-有性生殖	1	0	0
-机械泵	0	3	1
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-概念化	1	0	0
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-赤狐	3	0	0
-做操	0	1	1
-储存	20	86	23
-交易会	1	39	297
-起火	1	25	0
-黏糊	0	0	1
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-滑稽剧	0	0	1
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-齿条	5	9	5
-焦黑	3	1	1
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-黄米	23	17	4
-人间	224	224	157
-伊豆	24	10	0
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-托词	0	0	1
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-倒水	8	3	0
-冠周炎	0	0	2
-什锦	576	371	88
-乱麻	1	1	3
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-五位一体	4	0	0
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-摊位	0	0	1
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-副教授	0	1	0
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-东营区	12	2	0
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-排斥	7	36	13
-焦黄	2	0	0
-催奶	5	2	0
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-债权	49	28	27
-俨然	1	0	3
-竹园村	3	0	24
-通讯处	0	2	1
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-何苦	6	4	1
-杀伤力	0	5	0
-核蛋白	3	11	8
-组合音响	2	0	1
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-坐骨神经	9	1	0
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-护航	10	60	17
-当涂县	35	2	0
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-黑竹	7	2	2
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-窗玻璃	1	4	4
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-掩护	11	5	9
-安居乐业	2	0	0
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-玩具	231	611	235
-拉纤	0	0	4
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-便盆	0	2	0
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-手足	96	60	8
-代议制	5	5	3
-犁田	2	1	2
-异教徒	7	4	3
-人际	121	144	0
-京韵	3	3	1
-法塔赫	2	4	6
-孕穗期	0	0	1
-照面	2	0	2
-豪迈	6	13	3
-摔交	1	3	2
-边防线	0	0	1
-人防	15	31	2
-人阵	0	0	2
-提干	0	0	3
-拆线	1	0	1
-沙滩装	0	0	1
-低落	0	3	1
-玩儿	2	6	3
-授权	38	130	43
-信物	0	7	6
-捣毁	1	0	0
-黑管	3	1	2
-走火	5	0	0
-云鬓	1	3	0
-担纲	1	0	0
-越洋	10	11	1
-足校	0	0	1
-侨社	0	1	1
-不惑之年	2	0	0
-修炼	44	213	255
-熟道	0	0	1
-狐步	2	6	6
-河津市	16	0	0
-明王朝	1	19	2
-最高人民检察院	15	27	0
-总公司	0	91	668
-红子鸡	1	1	1
-牙科	30	55	12
-停工	5	9	0
-路条	0	1	2
-献技	0	0	3
-才识	4	1	0
-适可而止	0	0	1
-浩瀚无垠	0	1	0
-刻舟求剑	1	0	2
-狂澜	3	2	16
-牢笼	1	5	3
-旗袍裙	1	0	0
-低级	10	3	0
-指甲	48	41	24
-自由市场	3	7	3
-培训费	0	2	2
-手语	9	37	21
-现势	1	0	0
-被子植物	7	4	2
-二阶	54	9	1
-抓药	0	0	1
-除尘器	9	19	148
-掌故	2	14	27
-跳月	1	0	2
-黑瘦	1	0	1
-伸腰	1	0	1
-鄂伦春族	18	9	3
-修武	13	7	13
-修正	103	115	60
-三头六臂	0	0	1
-犬牙	11	0	2
-护腿	1	1	167
-付账	0	8	1
-牙粉	0	0	5
-拼盘	2	11	68
-代词	1	13	23
-披肩	11	35	34
-实力派	9	21	1
-牧童	20	12	3
-伸腿	1	1	1
-猴戏	2	0	1
-鲜酵母	1	0	0
-争雄	1	17	29
-乌鸦	112	72	79
-乌鸡	118	172	243
-拟稿	0	1	1
-偏心	34	51	4
-催命	4	1	0
-休闲装	1	2	12
-接手	2	1	1
-养殖业	2	21	1
-投药	1	0	1
-护膝	0	0	11
-伴舞	2	2	3
-吉祥寺	7	1	2
-黑痣	7	10	1
-付费	15	23	16
-跨栏	6	7	12
-代课	6	5	1
-拙笨	0	1	0
-借方	3	1	0
-新罗区	4	3	1
-土著人	1	4	1
-定向仪	0	0	8
-鹅蛋	10	10	20
-版纳	20	4	1
-抽纱	3	12	3
-笑呵呵	1	0	0
-低缓	1	0	0
-环卫	28	57	0
-赠礼	1	0	4
-乳香	67	37	0
-牧笛	0	1	3
-假想	9	3	1
-躲债	0	1	0
-黑白	351	207	10
-猛攻	0	2	1
-侵犯	49	40	9
-量子化学	5	2	2
-代谢	65	201	74
-扇贝	56	57	186
-路标	7	8	16
-煮饭	1	6	2
-推托	1	0	2
-假意	1	0	3
-龙年	18	57	9
-二难	3	0	0
-埃舍德	1	0	0
-猪排	29	65	211
-交易商	1	12	10
-推手	6	20	28
-牛粪	7	3	1
-援外	2	3	0
-跳板	9	1	8
-打落水狗	0	0	3
-榨汁机	1	1	15
-购置	1	34	0
-鹿肉	17	35	50
-新密市	57	10	0
-懒鬼	1	0	0
-位置	77	94	63
-冷水性	2	3	0
-争霸	10	307	210
-濮阳县	40	2	0
-活见鬼	1	0	0
-才貌	4	2	0
-反射面	1	0	1
-地市级	2	2	0
-玻璃钢	122	191	5
-奴隶主	2	1	3
-败者	5	4	0
-水泥浆	2	0	3
-豪雨	2	0	1
-丝瓜藤	1	0	0
-打诨	1	0	2
-玩命	48	1	1
-体统	0	1	1
-保温	109	690	16
-跑步	17	41	6
-百褶裙	1	0	4
-猎杀	69	32	22
-黄砂	5	1	0
-搬动	2	2	0
-烈士陵园	1	11	432
-偷安	2	0	0
-玩味	7	3	2
-熔铸	2	10	0
-组委会	0	8	22
-黄石	250	67	13
-生活观	0	0	3
-排放	15	269	36
-护耳	2	1	0
-伊藤	151	8	1
-仪观	0	1	0
-现况	3	1	0
-黑瓷	3	5	0
-拜神	3	0	0
-乌鳢	3	3	3
-体系	21	1707	1197
-产量	8	42	47
-仲裁	60	298	48
-非一日之寒	0	0	3
-燃起	1	0	0
-领导人员	0	15	1
-潜望镜	3	0	5
-败绩	1	1	1
-年产量	0	0	2
-扁豆	185	178	158
-傣味	10	0	0
-黑田	43	7	0
-参照系	0	0	3
-付诸	9	3	0
-车水马龙	0	1	0
-麦穗	27	18	5
-辣椒油	8	2	7
-牙签	20	16	5
-象限	10	23	13
-贡缎	3	0	1
-现出	0	1	0
-原生质	14	2	3
-身体	186	359	78
-倒映	0	1	0
-土地管理法	2	23	2
-牛筋	53	47	81
-麦秸	9	3	2
-光灿灿	0	1	0
-挚爱	18	18	8
-白斩鸡	1	0	11
-健将	0	4	10
-人迹	4	3	4
-赋税	6	23	1
-余粮	6	8	8
-德保县	12	0	0
-自留地	3	0	2
-招租	1	6	0
-齐整	1	1	1
-负罪	2	7	0
-黯然	24	1	1
-透射比	1	1	1
-白杨树	5	0	1
-双人床	3	0	4
-伞菌	5	1	7
-龙岩	191	50	16
-侯爵	10	18	18
-赐福	1	10	9
-吉赛尔	5	1	1
-鄂州市	109	3	0
-父老	0	3	7
-护肩	0	8	216
-现券	1	0	0
-高次方程	0	0	1
-信江	13	4	1
-物种	43	73	38
-信汇	2	6	3
-单身汉	6	1	6
-珍宝岛	14	5	2
-人选	0	21	6
-尽人皆知	0	0	1
-糖葫芦	7	1	5
-纠察队	0	0	5
-云锣	1	0	0
-细胞壁	2	4	5
-探戈	21	12	34
-云锦	20	22	21
-插秧机	0	3	3
-名记者	1	7	0
-人造	261	68	0
-插屏	0	5	32
-仰视	6	1	0
-倾慕	1	1	1
-仰观	2	0	0
-执行	153	836	121
-手记	0	103	338
-踪影	0	2	3
-航海家	11	16	6
-不信任案	0	0	1
-躯体	27	10	1
-二门	4	15	12
-叩头虫	1	2	17
-哥伦布	53	18	22
-跆拳道	53	181	45
-远交近攻	2	1	0
-人道	20	15	0
-显山露水	1	0	0
-两小无猜	4	0	3
-一枝独秀	1	0	1
-保洁	11	262	12
-热电阻	15	9	42
-护胸	0	3	10
-伊蚊	1	0	2
-假性	52	16	0
-责罚	0	1	0
-交易员	2	18	14
-长短句	0	3	7
-麻石	7	6	2
-做工	1	0	0
-王国	343	543	739
-起用	0	2	0
-狂潮	1	24	59
-溜冰场	0	0	13
-借支	2	0	1
-发展署	0	0	1
-鼻梁	5	6	3
-越狱	62	40	33
-供电	141	376	37
-汉学家	2	12	1
-喜气洋洋	5	2	0
-豪门	124	118	30
-仰角	2	0	2
-阿城市	11	0	0
-胶版纸	0	0	1
-狠毒	0	2	1
-管中窥豹	1	0	0
-萨摩亚独立国	0	1	1
-天地会	5	0	0
-借条	0	0	1
-一神教	0	1	0
-路数	0	2	0
-产销	11	35	1
-持球	3	3	1
-侠盗	115	12	9
-搅和	0	0	1
-身亡	0	9	5
-新宅村	0	0	4
-泰坦尼克号	18	3	6
-熟铜	1	0	0
-假扮	6	0	0
-廉江市	37	3	0
-从速	5	2	0
-玉女	65	30	13
-投资家	1	7	4
-路政	7	48	0
-富国强兵	1	0	1
-女主人	1	0	2
-低能	9	3	2
-手提袋	2	2	3
-爆裂	75	32	13
-甩手掌柜	2	3	1
-都庞岭	0	3	0
-自由式	14	12	6
-木质素	13	6	4
-免验证	0	6	0
-拘礼	0	1	1
-维尔茨堡宫	1	1	0
-河东村	0	0	15
-抚育	4	9	6
-事项	3	159	56
-十里堡	8	27	1
-王妃	63	138	287
-掰开	1	0	0
-樟脑油	0	0	2
-金瓶梅	40	21	24
-夏威夷	189	54	24
-护罩	1	1	9
-豆饼	7	15	133
-家常菜	60	257	263
-体温计	1	3	10
-财经	211	1776	56
-成建制	1	0	0
-体育	704	3658	228
-八宝山	10	1	1
-拘禁	2	3	4
-有效值	0	1	0
-搜刮	0	2	0
-拔秧	1	0	0
-狐火	2	0	0
-盆腔炎	8	1	4
-师范生	6	18	5
-人造纤维	3	0	6
-戒酒	3	2	4
-停息	1	1	0
-僧侣	9	3	2
-指环	45	248	120
-警卫队	0	4	9
-中国证监会	5	0	0
-眼镜蛇	48	44	56
-报考	12	83	3
-身份	53	139	46
-路旁	7	2	0
-特等	3	3	0
-招祸	0	1	1
-南腔北调	2	2	0
-承蒙	3	0	0
-折腾	5	28	21
-身价	2	14	5
-捐款	4	4	3
-偏执	17	17	2
-牙缝	4	0	0
-掌握	53	314	101
-周转金	0	4	3
-白皑皑	0	0	1
-程序模块	0	0	1
-周转量	0	0	7
-排挤	3	4	0
-所谓	29	13	11
-折腰	7	10	8
-园林化	0	0	1
-廉洁奉公	0	1	1
-洽谈会	0	6	52
-蹄子	0	6	12
-细胞学	3	30	8
-插孔	0	0	2
-破门而入	1	0	0
-排挡	3	4	5
-黄种	8	0	0
-五音	24	8	3
-仕途	18	19	18
-抽筋	9	5	12
-检验室	0	0	1
-西沟村	1	0	9
-猴拳	0	0	4
-织造厂	0	1	9
-躁动	6	2	4
-鸡蛋糕	2	2	16
-环发	0	2	0
-俭汤	1	0	0
-千里光	11	0	80
-枯水期	0	1	0
-踺子	0	0	1
-接线箱	0	0	3
-超然	28	22	24
-黏着	11	5	1
-乌黑	4	8	1
-玄奥	0	2	0
-找茬	16	62	304
-铁蒺藜	2	0	1
-狂热	70	33	41
-抽签	8	1	2
-搏动	5	3	10
-言归正传	2	0	0
-特种	426	842	0
-路摊	0	1	0
-家门口	0	4	2
-体罚	1	2	0
-战车	20	83	394
-燕赵	46	13	2
-偶尔	8	5	1
-义齿	11	29	20
-云集	15	16	32
-井陉	31	2	0
-凤尾鱼	3	3	22
-云雀	27	7	12
-推开	22	0	0
-拉稀	0	0	3
-赖皮	9	2	1
-候机	0	3	3
-现名	0	2	0
-猎枪	3	1	14
-搭伴	1	0	0
-僧人	2	4	2
-克利夫兰	19	15	12
-拒礼	1	0	1
-波澜壮阔	1	2	0
-贼窝	0	0	1
-社科院	5	13	2
-御花园	1	10	11
-侨界	2	1	0
-报纸	50	50	30
-耶和华	4	1	0
-许昌县	51	3	0
-云霞	4	1	51
-麦糠	0	0	1
-代购	6	26	26
-拌种	2	1	0
-接待	13	88	12
-云霄	50	16	38
-身世	1	14	3
-边防站	0	0	1
-商南县	8	2	0
-身下	0	4	0
-搭伙	1	0	0
-云雾	52	62	21
-麦精	3	0	0
-以直报怨	1	0	0
-玄妙	15	23	0
-公主岭	11	3	1
-低耗	1	4	0
-基因组	44	121	36
-抗联	9	14	1
-假托	1	0	0
-健康	1410	5640	979
-密云县	35	50	0
-交错	36	52	16
-麦粉	0	10	7
-成都	4751	766	58
-麦粒	8	5	5
-电化教育	2	18	1
-借机	4	2	0
-我部	0	15	0
-抹粉	1	0	1
-假手	1	0	1
-扎西	72	17	22
-交锋	8	13	0
-黄磷	9	2	0
-身上	1	25	9
-自由度	1	21	10
-产钳	2	0	0
-掉换	0	0	2
-乌龟	109	81	73
-佛经	19	30	15
-通讯员	3	5	1
-定向井	1	0	2
-熏陶	2	1	2
-长须鲸	1	0	0
-地形图	6	15	25
-投胎	2	2	3
-拳王	21	15	29
-龙头	159	97	39
-三野	8	3	0
-不配	2	1	2
-世道	8	10	6
-片片	6	9	10
-五脏	35	37	9
-狠心	4	7	2
-厚厚的	1	1	0
-主词	1	2	1
-机械厂	0	26	976
-丈量	3	2	3
-佩服	1	2	0
-执著	9	4	3
-贝布托	2	4	0
-拼版	2	0	5
-主讲	0	12	0
-万金	42	24	2
-侧影	2	2	12
-铁路线	0	2	8
-安哥拉	77	18	0
-共同市场	0	6	10
-眼中钉	0	0	2
-推进器	1	4	26
-越权	5	0	2
-优点	4	28	16
-交织	19	9	10
-贸然	0	1	0
-下酒	4	17	0
-作梗	0	0	2
-准确率	0	0	7
-李家峡	5	0	0
-草莽英雄	2	1	1
-鼠标	78	49	184
-方面军	2	42	53
-交给	1	16	0
-中资	11	9	0
-伊犁	143	45	2
-押租	2	0	0
-龙套	8	6	2
-误食	1	1	0
-普及本	0	21	4
-交纳	0	6	0
-连环保	0	1	0
-掸子	0	1	1
-黑熊	11	4	8
-牌照	1	5	14
-黯淡	2	3	0
-指点	20	38	3
-购物	159	1086	183
-香蕉水	0	0	1
-大围山	25	8	1
-倒剪	1	0	0
-挥洒	5	1	0
-旱冰鞋	0	0	5
-捕杀	1	0	0
-鸡蛋	697	1268	931
-鼓楼	43	136	58
-热效应	0	2	13
-机械化	15	200	18
-俗套	0	4	2
-熔融	41	34	7
-超期	9	2	0
-换料	2	0	1
-打虫	3	3	2
-作案	1	0	4
-民主党派	3	13	3
-技能	38	3109	751
-倒刺	8	10	2
-贡献	17	163	42
-风流韵事	0	0	2
-换文	0	0	2
-挥泪	2	0	0
-阿尔贝维尔	1	4	0
-货物	85	422	70
-扫荡	7	78	8
-黄牛	42	25	41
-五联	21	25	0
-依恋	9	8	9
-智力库	0	1	0
-扼腕	5	0	2
-推崇	1	10	0
-心脑血管	31	30	0
-红小豆	13	6	6
-保墒	1	4	0
-刽子手	8	2	11
-专递	0	1	0
-黄牌	3	8	1
-刮胡刀	0	0	2
-煤质	21	15	0
-温泉镇	0	11	4
-铁路网	2	3	8
-鸡虱	3	1	1
-特殊	329	266	0
-排律	0	1	2
-豫西	27	8	2
-倍加	4	4	0
-斜对面	0	0	1
-广州站	3	1	15
-下部	4	34	5
-楚文化	6	3	7
-生活费	0	6	4
-互联	32	217	221
-无政府	8	3	0
-螺旋体	0	26	12
-利川市	32	1	0
-炉前工	0	0	1
-矿泉水	16	32	52
-山鸡椒	1	0	2
-绝对湿度	0	0	2
-三都	46	21	2
-大柳树	7	4	0
-估测	0	2	2
-捷报	2	2	2
-战败	2	7	3
-上部	3	16	0
-调门	1	0	0
-特派	2	24	6
-诱饵	8	2	4
-古往今来	3	0	0
-旧石器	8	79	1
-机械功	2	0	0
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-挖方	1	1	0
-黄浦	30	46	3
-风花雪月	7	10	18
-扭秤	2	2	2
-大碗茶	0	0	2
-正长石	0	0	1
-千疮百孔	0	0	1
-超常	29	18	4
-麝牛	1	0	1
-扬程	0	5	4
-世锦赛	0	4	35
-接合	29	18	0
-截至	0	2	0
-新宁县	16	4	0
-翻车鱼	1	1	2
-黎巴嫩	34	13	2
-偶像	66	80	80
-起动机	0	5	5
-丹阳	124	46	25
-豆蓉	11	13	3
-依次	3	0	0
-接吻	23	18	33
-值域	1	3	1
-按期	0	2	0
-细胞体	0	7	2
-便服	0	1	1
-提价	2	1	1
-贺来	2	0	1
-优等	1	2	0
-龙口	111	67	8
-翘舌音	0	0	1
-换届	3	19	1
-认领	1	2	0
-产加销	0	1	0
-绥汾河	1	0	0
-太极拳	79	332	196
-烫面	34	33	1
-包装纸	5	11	3
-为难	0	4	1
-丰韵	4	5	0
-百万雄师	2	1	0
-园林式	1	2	0
-供气	2	11	2
-手纸	1	3	3
-手纹	0	5	8
-持械	2	4	0
-烙饼	7	1	47
-久长	2	1	7
-提供	10	118	3
-着色剂	0	1	6
-抹煞	0	2	1
-潮平两岸阔	1	0	0
-云豆	15	8	4
-抽烟	6	4	8
-谎话	1	0	7
-产品化	0	2	1
-豆蔻	60	44	26
-修成	2	11	8
-手绢	5	4	7
-找碴	0	3	10
-翻天覆地	3	0	0
-据实	1	0	0
-佛珠	9	3	12
-倡导	5	10	1
-独奏	10	82	15
-供水	37	470	24
-精梳纱	0	1	0
-黄淮	19	12	0
-路况	5	5	3
-扣篮	8	4	7
-排场	0	1	2
-特权	14	20	12
-小叶杨	0	0	8
-护理	336	1781	379
-订餐	3	15	2
-指标	34	288	624
-批示	1	2	2
-乡野	10	2	2
-吐谷浑	12	9	2
-乡里	14	11	5
-黑乎乎	1	0	0
-衣冠冢	0	1	14
-独处	2	4	5
-便条	3	1	0
-蒙彼利埃	10	2	0
-玩世不恭	0	0	1
-超度	5	1	0
-执笔	2	3	1
-偿债	14	17	1
-掩耳盗铃	0	1	1
-足够	1	3	9
-加强型	5	4	0
-控告	3	6	0
-电话会议	2	3	6
-交角	1	1	8
-不二法门	0	0	5
-以致	0	4	0
-精神性	8	4	0
-买通	0	0	1
-窃听器	0	1	5
-特有	8	29	0
-独夫	1	0	1
-君士坦丁堡	15	5	1
-东方人	7	3	1
-诠释	32	110	101
-彩墨画	1	1	2
-手笔	0	0	3
-词频	1	5	1
-上铺	3	1	0
-义赛	0	1	1
-同路人	0	1	0
-保山	69	46	16
-排卵	18	19	8
-京腔	3	1	0
-串通	5	3	3
-人群	15	66	0
-东门屿	1	0	0
-言听计从	0	0	1
-余音绕梁	2	0	0
-谶语	0	2	1
-懒觉	0	1	2
-托福	25	297	6
-助产士	2	2	1
-扶病	0	0	2
-译音	0	1	0
-企盼	0	0	2
-假使	6	0	0
-从紧	3	0	0
-赛格	45	53	2
-中邪	0	0	2
-地空导弹	4	27	65
-临近	5	4	3
-状态	58	219	321
-文弱书生	1	0	0
-货源	12	61	9
-按揭	23	36	26
-豆角	186	209	279
-询问	11	9	4
-排印	1	3	0
-鸟窝	5	1	3
-扯皮	0	0	3
-乘警	0	0	1
-赃款	1	0	0
-终结者	28	59	92
-仿真	90	692	325
-谵语	0	0	3
-中心思想	0	0	1
-摇篮曲	2	0	16
-进口货	2	5	0
-沼泽地	5	8	9
-接入	25	107	6
-渗透压	12	5	7
-成色	1	1	2
-乌贼	35	24	72
-炸鸡	46	111	59
-装腔作势	0	0	1
-汉武帝	24	12	12
-慰问	2	9	2
-扒窃	0	1	0
-蠢蠢欲动	1	0	0
-机械式	47	7	0
-推进剂	7	8	13
-中部	92	164	3
-腽肭脐	4	2	0
-辽阳市	89	1	0
-狗屁	3	2	0
-钢笔头	1	0	0
-下铺	2	1	2
-跨国	128	109	0
-严重	36	37	3
-抢点	1	0	0
-信封	13	16	24
-黑斑	67	22	3
-博茨瓦纳	23	1	1
-假借	3	2	1
-跃居	0	0	1
-磨刀霍霍	0	1	0
-狗岛	0	0	1
-侦探	131	844	197
-体液	17	9	6
-诗韵	9	10	16
-余波	5	0	9
-鸟笼	11	1	5
-刺绣工	1	0	0
-不错	2	3	12
-赈款	0	0	1
-排名	6	33	58
-猴儿	8	2	5
-代笔	1	2	5
-饲料粮	0	1	0
-按摩	86	760	281
-黎族	43	43	3
-左右逢源	6	8	9
-低温	295	309	3
-羊皮纸	4	0	3
-主轴	20	14	12
-组织部	5	35	58
-松花湖	8	1	1
-小鬼头	1	1	1
-一隅	4	1	7
-平阳县	116	1	1
-拳术	2	6	17
-冷冻库	0	0	1
-起敬	0	0	3
-踏勘	2	0	4
-焊钳	0	1	1
-戈麦斯	6	32	123
-网络图	2	2	7
-天鹅湖	27	16	32
-三门	102	42	6
-跪坐	4	8	0
-新绛县	5	3	0
-牛毛	11	4	3
-作法	3	9	15
-污染物	37	172	48
-伯爵	42	104	138
-量子力学	49	11	13
-伯父	1	7	0
-反中子	1	0	0
-传球	1	3	16
-教科文卫	0	2	0
-结核杆菌	1	0	0
-苦味酸	1	1	0
-赤杨	10	4	9
-佛法	41	42	14
-鼠害	3	15	1
-抚爱	1	0	0
-赤松	35	4	10
-政府军	0	2	1
-鸡窝	12	3	5
-出人意料	0	1	1
-停下	0	2	0
-照见	1	1	0
-华尔街	137	117	44
-做主	1	66	0
-指教	0	2	6
-鼾声	2	0	2
-船夫曲	0	0	4
-试题	31	1178	304
-前奏曲	1	20	21
-也许	22	7	1
-接到	1	0	0
-债券	137	154	269
-停业	4	3	2
-贞烈	1	2	1
-刀光剑影	1	0	0
-体温	25	23	17
-拓殖	2	5	0
-谴责	1	13	0
-战船	4	6	24
-瓦房店	42	10	1
-乞讨	8	26	2
-战舰	22	43	116
-鼻头	11	6	3
-鸣笛	1	1	2
-偎依	0	0	1
-一霎	4	1	0
-巴陵郡	0	0	1
-鼓师	0	0	1
-牛气	7	6	0
-火电厂	93	8	3
-拆洗	0	2	0
-优生	29	106	26
-侗族	62	124	3
-仲秋	6	1	14
-上门	30	34	10
-代管	4	5	4
-拖欠	5	11	0
-天鹅洲	3	4	0
-熏蒸	20	28	7
-伍百	2	0	0
-公民权	2	10	7
-伊盟	1	0	0
-鸡笼	21	15	4
-跟头	1	2	1
-烧饼	19	14	228
-上阵	2	3	7
-拔毒	11	17	1
-混合面	2	0	1
-预热炉	0	0	1
-一面	26	22	11
-介绍	12	65	42
-控制	307	5394	1608
-煊赫	2	2	0
-亲自	4	6	0
-固定资产	105	94	17
-托拉斯	1	13	12
-爪牙	4	5	3
-花岗岩	35	29	32
-偏信	1	1	0
-黄杨	69	56	54
-做事	54	356	99
-焊锡	11	23	2
-令箭	2	0	0
-成药	0	7	1
-推出	2	2	0
-有生之年	4	1	0
-尿崩症	0	0	5
-指数	75	334	1478
-万隆	25	46	9
-黄村	26	14	42
-犯戒	3	0	0
-侵扰	3	1	0
-黎明	174	167	199
-机械师	1	3	11
-护照	6	21	54
-挖掘	26	163	42
-交易日	1	0	7
-黄杉	3	0	10
-乐趣	15	62	58
-下降	30	27	17
-旧金山	65	29	13
-伦理	76	522	151
-做人	339	408	72
-牛油	75	60	2
-债务	82	164	51
-下限	2	4	0
-截肢	1	8	1
-路基	63	66	18
-黑暗	631	303	53
-打算	0	1	1
-败火	2	3	0
-人脸	25	6	3
-拱桥	10	11	30
-三陪	2	1	0
-不问	7	2	0
-接力	15	38	20
-亮色	2	1	1
-上限	4	8	0
-黄栗	12	1	0
-狂怒	14	3	7
-烧香	9	38	4
-黑晶	6	0	1
-乘风破浪	2	0	3
-乡试	1	2	1
-万难	1	1	0
-丰采	0	3	2
-诈骗	11	29	22
-人脑	21	13	0
-挥戈	6	0	6
-热风	48	30	2
-上院	4	6	0
-黄栌	10	2	15
-挣扎	5	14	18
-推力	31	40	13
-地下室	15	33	14
-卓尔不群	0	1	1
-口头语	1	1	0
-偏偏	10	8	0
-低潮	6	5	0
-独孤	82	22	4
-鹰爪	32	28	9
-话音	10	4	3
-依旧	4	20	36
-集体舞	0	1	3
-猎场	3	2	9
-嘻嘻哈哈	3	1	0
-指明	1	0	2
-试飞	1	4	12
-物欲	3	5	0
-永州市	68	4	0
-独子	6	3	0
-上集	1	2	0
-意识形态	22	85	32
-齐国	44	7	7
-乡谈	0	0	1
-肩周炎	8	5	2
-贵港	128	30	0
-跨境	30	19	0
-资江	8	7	1
-爬犁	0	0	3
-下陷	1	1	5
-专长	2	3	3
-伦琴	6	4	8
-武士道	7	2	11
-身手不凡	1	1	0
-乡谊	0	3	0
-截长补短	1	0	0
-停产	0	5	0
-挟持	1	8	2
-拼杀	0	2	0
-挥手	4	1	5
-最新型	1	4	0
-牧歌	3	13	25
-类地行星	0	1	1
-麦克风	10	7	24
-罗滕堡	1	2	0
-掺假	0	3	1
-贫民	16	4	3
-书评	5	15	12
-做伴	0	1	0
-下集	1	2	0
-谦让	2	1	5
-谢谢	68	24	2
-恶性循环	0	3	2
-拐棒	2	2	1
-中生代	4	13	0
-黄梅	71	18	8
-马车夫	2	1	1
-谣谚	0	0	3
-资本论	38	18	29
-书记	12	104	77
-丑闻	10	15	35
-书讯	0	0	2
-跳台	8	3	4
-赔本	1	1	0
-贪求	3	1	1
-拼接	15	68	26
-下雨	14	16	0
-下雪	12	12	0
-久违	6	1	0
-热饮	1	8	11
-狮子	221	263	119
-专门	58	105	1
-推介	2	21	5
-久远	26	11	8
-堆积体	0	1	1
-倍增	4	66	14
-榨油机	3	4	45
-牛津	302	213	5
-信差	0	2	2
-晚礼服	0	2	19
-拈花惹草	2	0	1
-贪污	17	13	0
-休眠	20	7	18
-招架	0	0	2
-黑白胶片	1	0	0
-值勤	1	0	0
-假冒	8	7	4
-烟鬼	2	1	0
-调速	25	151	23
-路向	0	13	11
-丑陋	16	14	0
-供暖	9	76	20
-保底	4	1	2
-拾掇	2	0	0
-独家	52	39	1
-肌纤维	3	7	6
-不难	0	13	0
-授勋	0	7	0
-拯救	368	291	48
-打破	48	14	1
-齿冠	2	2	0
-献县	29	16	0
-龙井	130	62	30
-兴隆村	0	2	5
-男婚女嫁	0	1	1
-令人信服	0	1	0
-做作	3	0	1
-论题	1	8	11
-传略	0	13	50
-赏析	4	119	494
-保康	17	24	7
-倒塌	1	27	4
-换型	0	1	0
-仔细	1	5	0
-调运	1	6	0
-倚坐	0	2	0
-钢笔字	7	102	8
-旁观者清	0	0	3
-涨跌幅	4	2	0
-鹰犬	4	2	4
-鸟类	36	73	25
-捕头	0	0	8
-拉模	0	2	1
-安魂曲	1	4	31
-谣诼	2	0	0
-便所	2	1	1
-狗年	4	1	0
-白骨精	18	11	14
-牧民	5	6	3
-抢滩	36	10	1
-宿州市	111	8	0
-诺贝尔奖	41	45	65
-世间	50	35	13
-节假日	2	13	3
-黑板	17	9	12
-招标	95	627	57
-上面	3	4	4
-拼搏	4	4	2
-独尊	5	2	17
-脍炙人口	0	1	0
-爱犬	36	26	7
-佛湾	0	3	1
-人造丝	1	0	0
-弹簧门	1	0	1
-打碎	3	0	3
-偏僻	1	1	0
-掉包	3	1	0
-交易所	8	99	277
-下面	3	3	8
-贫油	0	1	0
-京菜	5	1	0
-贷款	134	620	569
-牛皮癣	18	29	27
-共产主义者	1	3	1
-或者	3	31	0
-黑枣	33	21	3
-熊蜂	4	1	5
-父爱	16	23	6
-黑枪	4	6	3
-促成	3	5	0
-持之以恒	1	0	0
-丝锥	5	6	31
-为重	0	7	4
-抗灾	4	14	0
-拥有	20	114	27
-排列	20	51	54
-游乐场	11	12	83
-狭小	2	1	1
-偏光	22	25	0
-五讲四美	1	1	0
-不景气	9	0	0
-掩体	2	1	1
-独居	7	1	0
-贯家堡	0	2	0
-包装箱	5	8	10
-侧方	6	0	0
-指指	0	2	0
-爆破	131	258	113
-爷爷	36	85	56
-莲花落	1	0	6
-俺家	2	1	0
-从而	1	0	0
-打磨	25	30	11
-装配线	2	0	8
-试问	1	3	0
-购汇	1	5	0
-振幅	12	9	12
-户籍	15	33	4
-乡贤	5	9	0
-工具箱	3	68	171
-指挥	50	396	56
-审判庭	0	1	9
-一诺千金	2	1	2
-偏关	22	1	0
-付给	0	1	0
-瀛州镇	0	1	0
-伤疤	1	1	3
-鼠年	2	0	2
-人艺	6	6	3
-挪开	0	0	1
-抽水	26	117	1
-爸爸	219	451	223
-谬误	0	7	27
-攻其不备	2	0	2
-保证人	2	0	2
-谬说	0	0	3
-谈道	1	0	0
-专集	0	24	91
-鼻孔	12	15	6
-低点	0	4	0
-膀胱炎	3	4	23
-游乐园	9	13	126
-抗热	5	2	0
-鼻子	14	60	37
-前因后果	0	0	2
-伤病	4	25	4
-服务部	0	4	23
-焕然一新	0	1	0
-跑外	0	1	0
-爹爹	1	6	2
-伤痛	13	14	6
-西西里岛	5	1	2
-挑战	257	402	440
-伤痕	13	9	24
-玉米油	0	2	5
-举重	3	23	8
-第一国际	1	4	3
-诘问	0	1	2
-狸子	0	2	1
-手稿	2	35	58
-弹簧钢	6	9	31
-做做	3	2	1
-马鲛鱼	3	3	21
-丧钟	4	7	3
-贱民	1	2	2
-赌棍	0	0	1
-低烧	3	2	1
-授受	2	0	0
-丘陵	8	21	87
-会昌县	50	4	0
-低热	9	0	0
-万顷	19	11	0
-萨摩亚	24	9	3
-随行就市	4	0	0
-万顺	30	35	16
-日历表	0	0	1
-谬论	0	5	6
-股骨颈	2	0	0
-房管	3	24	0
-踏入	5	0	0
-猛地	2	0	0
-打票	0	1	1
-反射角	0	0	1
-抵消	3	5	5
-鸿福	24	34	10
-落叶松	21	6	15
-推倒	11	0	2
-掌印	1	1	2
-胆石病	1	2	0
-试院	1	0	4
-贤淑	1	0	8
-按捺	1	0	0
-停停	0	0	4
-哈医大	3	0	0
-烹饪	132	439	27
-指控	3	2	2
-东阳	136	78	24
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-这里	37	103	40
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-南宁	795	233	7
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-灭鼠	12	29	4
-独木舟	3	5	4
-辽阳	132	17	1
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-决议	1	7	80
-创编	1	10	5
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-司法权	4	2	0
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-凌辱	1	0	0
-古今	266	136	0
-照耀	3	22	7
-过速	4	4	32
-金长城	1	9	0
-口令	5	16	12
-仪表盘	0	1	4
-立体电影	1	3	5
-念经	0	2	3
-剑羚	0	0	3
-教研组	0	1	0
-古人	33	41	8
-辅音	3	0	18
-事不关己	2	0	0
-逆行	30	5	9
-停车场	36	76	69
-牵引	70	130	28
-转折点	5	16	15
-金像	6	6	4
-出言	8	1	0
-热身	3	8	2
-反共	1	3	0
-军长	0	3	6
-室内剧	1	0	0
-古交	48	4	1
-悬梁	1	3	5
-思科	121	39	10
-软骨	47	49	33
-慕名	1	1	0
-酒性	1	2	0
-烟道	14	13	6
-北极	223	172	30
-迈进	3	3	6
-连贯	2	6	1
-铀矿床	6	0	31
-组织者	0	3	8
-律诗	4	34	17
-循环体	0	0	1
-白桦林	11	7	8
-钉子户	4	1	8
-重刑	2	2	0
-莱阳市	32	1	0
-特异	23	21	2
-燥热	2	1	2
-去向	0	2	0
-惬意	3	5	0
-竹林镇	0	0	2
-重创	2	1	1
-金冠	46	43	15
-迎送	1	1	1
-张飞	53	12	2
-卷尺	0	4	2
-重利	2	0	1
-灰鸭	1	0	6
-剽窃	2	3	4
-运输	187	2054	333
-齿轮	167	391	116
-发光	104	182	32
-炼铁	19	40	4
-闯江湖	0	3	42
-口传	4	2	0
-动画	341	1691	220
-冒雨	1	2	0
-兵马	15	17	2
-内项	0	0	1
-聚丙烯	73	52	12
-影视剧	12	13	2
-述评	1	15	86
-减轻	8	39	2
-军械处	0	1	0
-刊行	0	1	0
-原址	0	0	4
-华意	6	13	3
-动用	1	22	0
-医学院	2	749	511
-可不	26	20	0
-制药	82	1553	63
-酚醛树脂	7	6	25
-前肢	1	0	0
-运载	1	20	2
-江西省	1380	109	0
-采办	1	11	6
-无则加勉	0	0	3
-军队	140	157	63
-工兵团	0	0	2
-鼓励类	1	0	0
-县县	0	7	0
-八行书	0	0	1
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-氟里昂	1	0	0
-总监	0	64	74
-发电机组	20	133	93
-反切	3	1	0
-自来水笔	3	0	0
-征购	1	0	1
-东阳市	80	17	0
-父权	3	1	1
-量具	6	107	17
-直角坐标	8	4	2
-惭愧	2	0	0
-反击	50	135	101
-原型	30	65	29
-灰鹅	2	3	9
-远路	0	2	3
-金元	68	92	39
-参半	1	4	1
-军阀	7	34	47
-运转	11	43	14
-脱粒机	0	0	5
-金光	109	50	21
-口腔学	0	2	1
-受众	21	37	8
-投影图	0	2	8
-受伤	21	17	11
-烹调	19	88	2
-送行	2	4	2
-叔侄	1	0	0
-发信	2	6	2
-采光	17	22	5
-沉水植物	1	0	0
-熟知	0	6	0
-耶路撒冷城	0	0	1
-还贷	3	3	0
-卖座	3	2	0
-前线	62	71	84
-郁热	3	2	3
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-内需	6	12	0
-变价	3	2	2
-近路	0	0	1
-危害	39	142	21
-卖弄	7	0	1
-不约而同	1	0	0
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-近距	2	14	0
-避孕针	0	0	3
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-单弦	3	0	1
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-卑微	5	2	6
-单弱	0	0	1
-光阴荏苒	2	0	0
-卵子	7	5	8
-小规模	6	4	0
-想开	0	2	0
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-有来有往	0	0	1
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-灰鲸	2	0	2
-势焰	2	0	0
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-前缀	3	1	10
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-压境	0	0	1
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-物态	3	1	1
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-风水宝地	1	2	0
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-扁桃腺	6	6	0
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-南开	201	68	4
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-歌功颂德	0	0	2
-突破口	1	2	1
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-兼顾	0	6	5
-鼋鱼	1	0	5
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-厉声	0	0	2
-小白鹭	2	5	0
-正态分布	0	1	5
-松花江	47	47	2
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-特工	105	198	146
-危局	2	9	6
-狂啸	3	0	6
-博弈	83	302	190
-及其	0	2986	0
-古乐	8	10	16
-轻风	6	1	1
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-前事不忘	3	0	0
-纠错码	1	0	1
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-卡带	1	1	0
-轻飘	1	0	0
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-进贡	1	0	1
-工间操	0	0	4
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-进账	0	2	3
-冷暖自知	0	0	3
-进贤	50	7	15
-印尼	115	46	1
-剔红	58	51	0
-过载	16	8	6
-医护	24	45	0
-当量	28	23	53
-冗长	1	0	1
-取信	1	0	3
-潜水员	8	1	8
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-物性	12	23	7
-唱白脸	0	0	1
-形迹	2	0	6
-碳化铁	0	1	0
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-日用百货	0	8	1
-老妈子	1	0	0
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-追认	2	3	0
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-内阁	21	17	34
-重印	1	2	2
-冰洲石	1	0	1
-恒生	36	56	10
-强震	9	46	4
-重压	3	0	0
-连载	3	29	1
-飞天奖	1	0	30
-连轴	1	8	0
-卸妆	7	97	2
-华府	42	60	290
-温岭市	136	11	0
-追记	0	1	3
-炒面	12	38	271
-化斋	0	1	0
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-兀鹫	3	1	21
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-爱教	1	3	0
-龟裂	5	2	2
-内阻	3	35	6
-东中西部	1	1	0
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-十二月	48	24	7
-这边	1	8	0
-石炭酸	2	0	0
-多道程序	3	0	0
-争分夺秒	3	0	0
-汉语系	0	1	1
-乔治城	6	2	2
-近郊	1	8	2
-狱中	43	14	1
-读写器	0	0	19
-圣彼得堡	88	39	2
-加班	7	11	2
-冷遇	1	2	0
-勘测	6	177	8
-迭起	0	0	1
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-灵魂	331	228	160
-十五日	2	18	3
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-单帮	0	0	1
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-弱项	0	9	0
-文化站	0	4	0
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-罗湖区	13	23	1
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-德行	8	16	9
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-变为	1	8	0
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-打击面	1	0	0
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-细细的	3	0	0
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-黄葛树	1	0	1
-格尔木	39	5	3
-连连	37	1040	13
-变乱	1	3	2
-受事	1	1	0
-彩釉	7	9	3
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-烈酒	0	20	1
-单幅	2	1	0
-九五之尊	0	0	1
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-压垮	3	1	0
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-单干	1	0	0
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-远道	1	2	4
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-退让	2	0	2
-穷追不舍	0	0	1
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-叛乱	10	19	45
-非常规	28	7	0
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-重叠	38	20	11
-冈陵	0	1	3
-强音	1	4	11
-印子	3	1	0
-狂呼	0	2	1
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-乌海市	69	0	0
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-初芽	1	0	0
-龙袍	10	3	35
-无机酸	4	0	0
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-滴眼药	1	0	0
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-量刑	27	55	9
-消化道	26	24	0
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-失眠症	10	1	12
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-红花草	0	0	2
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-总督	13	33	33
-黧黑	2	1	3
-牧师	11	17	29
-老妈妈	1	0	0
-忠良	3	3	69
-同日而语	0	0	1
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-冷轧	55	41	2
-灶马	2	1	0
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-过重	0	4	0
-电车站	0	1	0
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-鹧鸪菜	2	1	2
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-通融	2	4	1
-黄花鱼	19	17	120
-新会市	2	0	0
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-近道	3	2	2
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-发亮	2	2	11
-恩爱	7	5	2
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-量力	3	4	3
-纪念品	0	10	3
-十月	123	63	23
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-牟平	21	3	0
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-同事	10	23	9
-炔诺酮	3	4	7
-理发馆	0	0	1
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-怅然	3	2	0
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-历年	84	1106	8
-午时	14	3	1
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-双喜	32	43	37
-包涵	8	8	1
-飞来石	4	1	2
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-冰雕	7	12	2
-冬青	37	68	320
-吸附剂	4	6	11
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-冰雪	135	112	13
-远见	20	19	11
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-军饷	1	0	1
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-出路	4	25	79
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-乡宁县	9	0	0
-卖掉	5	1	0
-北欧	110	47	10
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-共鸣	18	15	0
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-抗逆性	0	1	1
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-各业	0	1	0
-十方	42	17	9
-民族英雄	5	8	2
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-载流子	8	6	8
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-开辟	10	16	3
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-西德维尔	1	0	2
-南拳	15	0	6
-爱尔兰	212	34	15
-辞退	3	12	3
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-恶战	3	3	5
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-建造	51	401	54
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-彩色	635	989	17
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-齿舞	5	0	0
-维吾尔族	41	17	2
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-交通量	6	3	10
-俄勒冈州	10	2	0
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-麒麟	247	223	90
-恒星	88	79	36
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-减量	4	5	4
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-剪纸	51	178	256
-冲销	4	4	3
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-状元	180	390	72
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-冰锥	1	0	1
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-叛军	1	1	1
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-黄雀	12	25	22
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-狂人	28	50	69
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-压惊	1	0	0
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-冷饮	8	25	11
-叶县	35	8	2
-凋零	7	6	8
-人性化	16	12	3
-叛国	3	7	1
-单机	37	375	6
-加紧	0	7	0
-吹胡子瞪眼	1	0	0
-焊花	0	1	0
-叫喊	0	1	2
-司号	1	0	0
-焊芯	0	1	0
-厂房	18	89	39
-选美	21	25	6
-熊猫	462	215	128
-吃力	6	0	0
-意向	8	8	15
-邪气	7	1	0
-卤族	1	0	0
-利诱	2	1	1
-尼科西亚	9	1	0
-工作部	0	2	41
-感到	2	7	0
-金银滩	8	4	1
-凉鞋	1	2	14
-反复	29	27	8
-悬念	8	62	14
-初赛	0	3	0
-涿鹿县	7	0	0
-号叫	3	1	1
-号召	2	1	1
-落叶归根	1	0	0
-道白	0	4	0
-来者不拒	0	0	1
-法国梧桐	3	0	0
-黄鳝	61	50	64
-新泽西	23	7	1
-微细	17	20	0
-单极	25	9	1
-地雷战	4	3	5
-酿制	0	12	0
-逐级	6	5	1
-同党	0	0	1
-玩具店	6	1	23
-分选	8	29	12
-点评	12	199	217
-得胜	228	56	21
-孟加拉国	27	13	3
-冷餐	1	2	1
-辟谣	1	2	1
-珊瑚虫	5	1	2
-心算	3	64	30
-黄鲷	1	0	0
-彩虹	507	455	169
-恒温器	0	0	6
-判词	2	4	2
-酒坛	1	1	4
-追肥	0	2	1
-普列谢茨克	2	0	0
-悠悠	110	55	40
-愈合	5	13	0
-退职	3	8	0
-可否	6	0	3
-东山再起	5	3	1
-卓有	2	0	0
-辞谢	0	1	0
-强调	9	4	0
-感光	32	45	0
-冤魂	5	4	13
-弱质	3	0	0
-无棣县	18	2	3
-叩响	6	2	0
-熊牛	1	0	0
-废黜	0	0	1
-冷食	1	3	2
-非传统	22	13	0
-定性分析	2	1	1
-输赢	5	6	3
-选编	0	95	390
-恋歌	2	11	92
-火镰	1	4	2
-靠得住	0	2	0
-采莲船	0	0	4
-马图林	1	1	4
-犒劳	2	0	0
-剥落	5	4	2
-归西	0	0	1
-贴息贷款	0	3	4
-牛奶	486	425	135
-分辨	9	39	2
-分辩	1	2	0
-收款机	0	2	22
-西班牙语	57	103	23
-黄鱼	63	60	171
-叮咚	9	4	10
-叮咛	1	17	18
-厌恶	7	4	5
-照相	43	50	21
-合共	0	0	1
-等温线	1	2	5
-橄榄绿	12	2	1
-吉兆	3	3	2
-司南	6	8	1
-烈士碑	0	4	2
-感冒	87	177	57
-厚度	11	84	63
-同僚	0	1	4
-灰铁	2	0	0
-满城县	11	0	0
-京剧团	0	0	31
-周转率	0	0	30
-进行	53	498	9
-犯罪学	28	21	11
-巴伦支海	2	0	0
-烟蚜	1	0	0
-切身	2	0	0
-惩罚性	3	0	1
-君主	21	43	26
-纪念会	0	1	2
-蒙太奇	17	4	48
-画蛇添足	0	0	3
-泡桐树	4	3	0
-出道	4	2	0
-酌定	5	0	0
-台历	1	13	0
-臭名昭著	1	2	2
-龙船	33	29	16
-南昌	1325	242	19
-心绪	3	4	0
-双基	14	7	1
-远行	10	22	29
-牧场	61	58	166
-延时器	0	0	1
-转门	0	0	2
-辎重	2	1	1
-参天	11	5	10
-吃光	0	2	0
-酱坊	1	1	0
-熔点	5	19	6
-悲戚	0	0	1
-凯里	95	32	7
-醇和	0	1	0
-通胀	31	33	19
-必经	0	7	0
-碰碰车	5	4	21
-强辩	1	0	2
-静静地	3	2	0
-牧地	3	2	1
-火钳	1	0	0
-熔炼	3	42	16
-可变	82	24	1
-情态	6	11	1
-取回	2	5	1
-德育	53	141	21
-情怀	5	37	86
-工作量	3	3	1
-悬挂	57	32	23
-单晶	22	10	3
-可取	0	3	0
-酱园	2	4	18
-迷蒙	0	0	2
-发型	31	181	53
-意图	3	20	15
-启明星	21	23	6
-右卫	5	37	2
-生长激素	12	2	9
-蒙罗维亚	3	0	0
-可口	35	26	2
-升格	3	7	0
-甲状旁腺	15	14	0
-惆怅	3	15	8
-情思	6	11	20
-地缘文化	1	0	0
-黑马	67	73	21
-可可	231	161	50
-火锅	59	115	1068
-强迫	71	11	3
-郁江	2	1	0
-配子	18	8	9
-光谱学	1	7	12
-逊色	0	0	1
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-龙舞	14	11	28
-针织品	0	7	2
-犯人	1	5	5
-龙舟	44	70	33
-科威特国	2	7	0
-兰州市	160	7	2
-徒手操	0	0	1
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-劣等	3	0	0
-检察官	23	51	22
-军魂	3	11	37
-吓人	4	2	2
-压弯	0	4	0
-单方	18	21	5
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-创设	5	12	6
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-压强	5	4	14
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-弯道	21	20	5
-博野县	7	0	0
-车门	6	4	10
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-台北	243	122	36
-车队	1	17	129
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-卖方	20	7	2
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-情形	0	3	4
-孙媳妇	0	0	1
-未成年人	60	204	1
-悔改	0	0	2
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-单日	2	0	1
-初记	0	0	3
-冰淇淋	79	108	282
-特命	12	1	0
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-南方	802	555	36
-十三经	40	16	14
-几何图形	6	1	1
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-烹茶	2	14	1
-软钢	0	0	1
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-出逃	4	17	28
-鄙意	0	1	0
-唐山市	250	10	0
-怀着	2	0	0
-熊熊	13	6	7
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-台南	62	18	1
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-动笔	0	3	0
-叫号	3	9	0
-熔炉	6	5	17
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-性状	12	12	40
-爱岗	0	2	0
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-史前	137	111	3
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-输送	28	244	30
-综合语	0	1	1
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-新世界	89	140	0
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-冻雨	5	0	0
-古史	19	34	9
-冷面	34	22	65
-麦麸	8	4	1
-车长	0	2	3
-华明	22	45	43
-口吃	4	12	2
-辘轳	16	9	1
-冷静	9	11	5
-惠安	96	32	13
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-单数	3	0	2
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-去夏	1	3	0
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-慌乱	1	0	0
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-针织厂	2	2	13
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-台办	0	2	1
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-出车	0	1	0
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-醇厚	2	2	0
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-玉米糊	2	1	15
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-客观主义	5	2	1
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-经济圈	0	12	0
-销声匿迹	1	0	0
-经纬度	4	3	7
-爆炸力	2	0	0
-北洋	115	53	8
-硫酸盐	17	30	33
-压延	9	27	2
-叫卖	3	5	1
-牢固	2	1	0
-造纸	86	156	16
-白蜡树	4	3	4
-美利坚合众国	4	9	0
-百分点	0	1	1
-龙脉	28	18	9
-割胶	0	2	1
-吉信	3	9	3
-贝多芬	84	10	41
-性爱	52	35	12
-开门	37	63	29
-制表	4	4	0
-剧艺	0	5	0
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-储藏室	1	1	2
-北京猿人	5	0	0
-较量	7	34	84
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-开闸	1	0	0
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-女儿墙	2	0	1
-开锅	1	0	1
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-向上	34	72	22
-龙胆	64	44	270
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-运行	57	1062	252
-熬汤	0	0	2
-同人	34	89	24
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-煤田	21	93	82
-合作	158	1755	164
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-车铃	1	0	0
-套色版	1	0	0
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-北汽	22	6	0
-爱克发	7	1	0
-合体	11	28	45
-迷茫	18	6	6
-名人	317	1278	17
-牙垢	0	1	0
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-麝鼠	2	0	0
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-口号	9	13	31
-不敢当	0	0	1
-北河	27	12	5
-跃跃欲试	1	0	0
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-代表队	0	1	47
-名仓	1	0	0
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-焦糖	154	63	2
-后人	3	8	0
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-饲料厂	0	1	12
-恪守	4	0	0
-雪佛兰	63	3	4
-干预	5	103	74
-电子版	8	2	6
-麻酱	162	56	4
-灵通	27	84	28
-车身	30	114	16
-路不拾遗	1	0	0
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-特写	3	9	21
-僧院	4	0	5
-海阔凭鱼跃	1	0	0
-黄道	96	29	0
-文化路	11	42	0
-烟草	175	366	14
-动怒	0	0	1
-珍珠鸡	9	14	7
-幽静	1	3	0
-牌坊	18	42	208
-出生	36	76	5
-爪子	2	8	10
-配发	2	1	0
-麻醉	102	182	54
-牵制	2	1	1
-庆阳	107	33	15
-爹妈	2	2	2
-前次	0	1	0
-平顺	10	12	9
-剪枝	3	2	1
-劝慰	0	1	1
-乘法器	0	0	3
-沾花惹草	0	0	1
-荣宝斋	34	2	3
-配合	24	136	47
-外资股	0	2	2
-动心	4	6	5
-强者	40	47	18
-减税	4	2	2
-石炭纪	1	2	0
-军职	0	0	1
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-透空	5	3	0
-钟乳石	2	3	2
-版块	2	0	2
-老头儿	1	12	7
-兼营	6	1	0
-酒厂	2	18	114
-途程	3	1	0
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-手忙脚乱	3	1	0
-倒挂金钟	3	0	6
-丧葬费	0	0	2
-朝秦暮楚	1	0	0
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-黑山县	9	0	0
-坛子岭	1	2	0
-句子成分	1	0	1
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-分理	0	3	1
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-力戒	0	0	1
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-力战	0	5	1
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-允诺	3	2	3
-函电	4	84	61
-爹娘	1	2	5
-电磁锁	0	0	1
-勤奋	16	26	6
-转身	31	36	24
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-酷似	1	0	0
-都市	943	859	220
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-贝壳馆	0	1	2
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-返航	1	1	3
-车载	195	156	2
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-出界	2	1	2
-忙活	0	0	1
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-龙眼	224	122	61
-车轴	10	32	2
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-副本	6	2	29
-防尘罩	0	1	6
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-电磁铁	1	2	5
-纪念封	0	1	2
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-黄菠萝	3	0	0
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-自暴自弃	1	0	1
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-得病	1	1	0
-工具房	1	0	0
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-北周	28	6	3
-尖端科学	0	1	0
-轻元素	0	1	0
-酒具	1	4	12
-酒兴	0	0	1
-片冈	19	0	0
-老大哥	3	1	2
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-勘察	27	387	29
-软语	1	0	3
-分界	14	13	7
-擎天柱	2	0	5
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-光谱	86	117	70
-恰恰	10	19	14
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-邻接	12	6	0
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-应验	2	2	0
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-他山石	2	0	0
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-转调	5	1	0
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-冷缩	6	0	0
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-鹧鸪	205	72	131
-鹦鹉	95	272	943
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-划界	0	8	5
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-拼音字母	1	3	3
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-引诱	11	23	7
-鹪鹩	4	10	91
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-引语	2	1	2
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-总校	0	10	10
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-边线	5	2	3
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-共识	4	16	33
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-元配	1	1	0
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-剡溪	7	2	0
-磷灰石	3	4	7
-划破	2	3	0
-入账	1	2	6
-选用	1	223	38
-防毒面具	2	0	12
-禁忌症	0	0	4
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-焦炭	21	10	4
-引线	4	10	7
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-座谈	0	0	1
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-当真	2	1	1
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-鸿雁	16	35	39
-刺猬	67	38	40
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-化境	0	5	2
-都城	15	68	0
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-劫数	1	0	3
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-全貌	0	1	2
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-分神	0	1	0
-刚直	0	1	2
-先遣	4	10	0
-利生	3	8	18
-烧砖	0	35	3
-造物	14	8	2
-焦灼	1	0	2
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-地震仪	1	0	21
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-龙泉	325	260	37
-污染区	0	0	2
-进站	2	0	3
-遗毒	0	1	1
-燕子	120	77	35
-并重	0	7	3
-应选	0	0	8
-龙港	53	70	4
-八路	12	27	17
-占先	1	1	6
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-建莲	3	0	1
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-劫机	4	10	0
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-爷儿	0	0	1
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-选登	0	0	1
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-思恋	1	0	0
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-民航机	1	0	1
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-加把劲	1	0	0
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-别的	3	9	2
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-全路	2	2	2
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-温尼伯	11	2	0
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-卸下	0	1	0
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-分站	1	0	9
-动机	19	69	136
-水汪汪	1	0	0
-暗渡陈仓	1	0	5
-家长制	1	3	2
-办案	19	212	3
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-羊皮鼓	2	0	3
-间接税	0	0	2
-单列	6	2	0
-引黄灌区	2	0	4
-麻袋	7	3	2
-冷落	3	2	4
-劳方	1	0	1
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-土特产	3	36	6
-流行色	5	4	0
-烘笼	1	0	0
-点缀	7	6	3
-总局	0	311	94
-卑劣	3	2	0
-单利	5	0	0
-郑州	4149	575	23
-单刀	15	7	22
-电子流	0	2	1
-公费	6	5	1
-弛缓	4	8	4
-办校	0	1	0
-单击	2	0	1
-自由泳	1	0	2
-老太太	2	2	3
-决死队	0	2	2
-劲旅	1	3	5
-危亡	1	1	0
-音乐史	4	58	26
-常驻	5	19	1
-包容	29	27	15
-开船	1	1	1
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-协办	2	1	0
-鼻祖	0	6	7
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-恬不知耻	1	0	0
-燕山	126	81	13
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-涡轮机	1	1	7
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-轴衬	0	0	1
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-运城市	96	18	0
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-弹簧	117	231	98
-遗族	4	4	1
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-华堂	7	18	36
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-切线	17	8	2
-匆忙	1	2	1
-怒族	12	4	1
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-公里	0	2	5
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-径直	0	3	0
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-压倒	5	4	0
-加沙	9	4	1
-舍不得	13	4	1
-鸬鹚	24	11	54
-幽雅	3	4	0
-度量	15	58	32
-农谚	2	5	1
-热电	28	144	2
-鼠胆	4	4	0
-山道年	2	0	1
-办法	5	1211	10811
-饱经风霜	1	0	0
-烟盒	3	1	23
-闹别扭	0	1	0
-国有制	0	0	1
-劳模	5	13	3
-平等互利	1	0	0
-剿灭	6	0	1
-纪录片	29	63	26
-载荷	13	41	82
-胡锦涛	26	22	0
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-怀柔	77	75	0
-幼雏	0	1	0
-静冈县	1	1	1
-怒斥	0	3	0
-逗点	1	0	2
-区委	1	69	12
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-使用量	0	0	1
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-邳州	98	15	0
-焦渴	0	0	1
-柞蚕丝	1	0	0
-别称	0	5	5
-惊人	5	37	10
-干面	6	5	18
-烟瘾	1	3	0
-压低	1	2	1
-免税品	0	4	1
-即刻	14	2	0
-志水	5	6	1
-国有化	3	1	4
-暮鼓晨钟	2	0	0
-军警	2	12	2
-水轮机	51	18	30
-饱和色	0	0	1
-鼓舞	6	8	76
-恰如	4	2	1
-利税	2	2	9
-宏病毒	0	0	4
-独轮车	4	2	3
-幽闲	1	0	0
-鸫鸟	0	1	3
-十堰	167	21	2
-遥望	13	3	3
-鸟龙	2	10	24
-照料	0	8	1
-彩票	90	210	55
-志气	3	10	5
-书面语	3	1	0
-楚雄州	18	1	0
-匹夫	13	1	7
-试探性	4	1	0
-医士	0	2	0
-小朋友	79	29	11
-幽门	28	13	0
-恰好	2	0	0
-汽轮机	107	62	38
-分级	73	483	72
-广阔	7	2	3
-情侣	103	130	76
-决裂	1	3	5
-指示植物	0	0	8
-怀来	11	4	1
-军训	10	29	2
-女性化	1	1	2
-化验员	11	4	1
-恢宏	4	0	0
-火葬	4	6	5
-橡皮擦	1	2	8
-怒放	8	11	10
-归类	3	104	9
-过程	200	981	432
-分组	39	37	21
-悲凉	0	1	3
-传染性	42	55	1
-年青	4	5	1
-反对派	0	0	3
-邮市	1	2	0
-医大	1	30	1
-罗山县	11	2	0
-平静	25	24	9
-逃犯	4	5	23
-平面	355	752	81
-影碟	2	2	4
-邮差	14	24	8
-分红	19	33	16
-卷叶虫	2	3	3
-懦怯	0	1	0
-董建华	1	3	0
-助产	5	8	2
-冒火	0	0	2
-遥指	1	0	0
-论文集	1	105	859
-动人	9	29	7
-寝不安席	1	0	0
-戍守	0	2	0
-前妻	13	15	28
-先祖	9	6	0
-养猪	44	130	18
-过瘾	12	10	6
-分手	97	32	60
-打包	37	47	6
-热火	11	4	1
-运用	14	261	192
-通水	4	17	1
-冰河	85	29	17
-劫争	0	1	0
-道教	144	254	71
-冷气	8	35	1
-公用	50	145	4
-力偶	3	11	2
-大观园	11	58	59
-退潮	0	1	0
-戏子	2	1	3
-分批	14	4	0
-城东区	0	3	1
-急难	5	7	0
-函授	10	57	0
-软脂	3	0	0
-扣儿	0	0	2
-耶路撒冷	37	9	14
-候鸟	22	31	19
-前委	0	13	1
-秦皇岛港	18	0	0
-服务团	0	4	23
-冻死	2	3	0
-造次	3	0	2
-剧团	1	6	387
-辞章	2	1	1
-冷水	87	195	2
-局限性	16	1	4
-刚性	57	43	6
-剂子	0	0	2
-飞行器	51	41	92
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-轮胎	104	193	105
-分担	1	16	6
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-兖矿	26	8	0
-以身作则	1	0	0
-急需	0	27	0
-防护罩	3	21	55
-加倍	4	8	6
-刨床	1	1	2
-通气	19	63	15
-热烈	7	4	0
-水杨酸钠	3	4	6
-六甲	48	14	3
-车臣	16	7	0
-出摊	0	1	0
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-邛崃	40	6	0
-分拣	8	20	2
-先秦	215	107	11
-连珠	43	35	48
-流水账	4	3	3
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-儿童	2264	3015	102
-软腭	3	4	0
-冷汗	0	3	5
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-熔岩	72	21	13
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-六畜	7	0	0
-金大中	4	0	0
-先科	33	22	22
-批件	0	0	1
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-内忧外患	2	5	1
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-成家	12	5	10
-连理	19	113	5
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-遗教	1	5	0
-免票	0	1	1
-历史观	0	14	9
-冲洗	14	83	11
-熊市	12	27	8
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-兽王	40	19	20
-恒量	1	2	2
-进球	9	6	9
-我家	140	70	29
-兽环	0	3	0
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-打发	1	0	4
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-共生	36	55	30
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-襄城县	54	0	1
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-邓州	34	2	0
-炫示	0	2	0
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-列当	2	2	14
-养父	1	0	2
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-凄楚	1	2	1
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-新干县	10	2	0
-躲雨	1	0	3
-三三两两	1	1	0
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-力作	1	8	3
-穿刺术	0	0	20
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-烤炉	2	4	21
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-避开	5	5	0
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-加以	0	2	0
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-火网	1	4	4
-火罐	2	4	10
-看家本领	0	1	1
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-前夕	1	12	19
-运球	7	3	13
-烧灼	4	3	0
-进犯	0	2	0
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-凡是	0	0	1
-前夜	2	16	27
-刚强	0	1	22
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-前天	0	1	0
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-澳门	999	207	20
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-德育课	4	17	0
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-小儿麻痹症	0	1	0
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-戒备	2	3	6
-躲闪	5	0	1
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-软缎	0	1	2
-组织学	43	36	15
-火舌	2	0	0
-务农	1	1	1
-安全玻璃	3	17	0
-函数	68	330	765
-照排	1	7	2
-烽火	161	70	38
-不顾一切	2	0	2
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-心心相印	6	1	4
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-廊坊市	141	7	0
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-鄂东	17	9	1
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-养生	496	2589	546
-分摊	4	18	13
-北医大	0	1	0
-冷湖	5	0	0
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-核武库	0	0	1
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-功利	8	6	4
-前尘	6	8	5
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-凤梧	0	3	17
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-瓦努阿图共和国	2	0	0
-火花	52	64	44
-医药费	0	4	0
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-扎制	0	1	1
-停顿	3	2	3
-逆流	42	27	15
-燕园	31	28	16
-养病	3	5	2
-迥然	3	0	0
-手动	202	104	3
-战壕	10	2	3
-菌丝体	2	6	7
-轴线	7	10	19
-热狗	35	42	0
-稳定性	15	127	137
-制式	3	19	21
-荆州市	151	10	0
-世界杯赛	0	1	11
-有求必应	2	1	3
-烽烟	9	13	12
-初战	2	1	1
-儒艮	1	4	1
-炭窑	4	2	0
-冈琦	0	1	0
-回头客	4	1	1
-娘子军	2	6	3
-凉水	35	16	3
-劳保	18	75	4
-遵循	1	11	0
-白血球	1	2	3
-坦诚相见	1	0	1
-丝绸之路	80	49	29
-功劳	9	11	42
-助养	0	1	0
-托儿	5	0	5
-慈爱	5	7	2
-报告文学	4	63	17
-别情	1	2	13
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-邻国	0	4	3
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-加力	18	21	6
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-女中音	0	3	8
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-恳谈	0	1	1
-欲罢不能	1	0	2
-助兴	0	3	1
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-分支	43	54	11
-姹紫嫣红	5	2	3
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-火苗	3	5	2
-公益林	5	21	1
-功力	13	10	2
-邵阳县	15	3	0
-情致	0	2	0
-马克思列宁主义	3	2	0
-加剧	0	1	0
-战士	54	790	812
-手势	10	5	24
-再现	19	53	70
-凭栏	12	1	5
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-扇千	1	0	0
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-军火	9	10	1
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-浊水溪	2	1	0
-教研室	1	0	51
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-惊羡	1	0	0
-利弊	0	3	3
-综合楼	0	12	35
-空包弹	2	0	1
-入盟	0	2	0
-总部	19	225	67
-偏颇	1	1	2
-遗憾	9	16	29
-懊悔	3	0	0
-前嫌	0	1	3
-力克	17	145	55
-懒得	11	1	0
-身长	2	2	0
-郊县	1	1	0
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-冲淡	1	3	0
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-到底	20	102	82
-有意识	1	1	0
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-悲苦	0	4	0
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-旅行证	1	4	1
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-内外部	0	1	0
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-入眼	1	1	5
-全盘	10	6	0
-偏食	2	8	7
-全盛	5	21	2
-刑房	2	0	0
-狂欢节	5	6	88
-非农业	4	6	0
-千里香	5	2	0
-车组	0	47	65
-劈叉	1	1	2
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-入眠	0	6	6
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-有眼无珠	0	1	0
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-居住舱	0	0	2
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-转给	0	2	0
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-那大	8	4	0
-中国消费者协会	1	0	0
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-乐山市	94	10	1
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-列车长	0	1	0
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-愚公移山	2	0	4
-邀客	2	0	0
-橡皮泥	6	6	9
-多多益善	1	0	1
-基本法	0	23	19
-热河	52	10	5
-碳化硅	36	14	7
-退款	0	1	0
-找到	23	44	0
-部优	0	3	1
-熟地	39	31	2
-图瓦卢	10	0	0
-通栏	1	0	2
-剑南春	6	8	1
-助力	15	26	0
-使用税	0	23	1
-软糖	8	3	51
-周恩来	111	53	33
-烈烈	1	2	5
-烂熟	2	1	0
-入秋	1	0	0
-分晓	0	0	2
-热汤	4	3	29
-抓住	55	35	0
-冰点	43	27	5
-后过渡期	0	1	0
-轻歌曼舞	0	1	0
-急骤	2	0	0
-灯管	7	5	28
-赞美诗	0	1	9
-扬名	10	7	9
-再生	224	510	111
-努力	24	62	16
-流通领域	6	8	0
-部位	4	25	27
-退步	6	0	1
-灯箱	10	15	33
-信息库	0	5	12
-缓冲器	1	0	12
-全福	21	8	0
-初探	0	11	0
-扼制	1	0	0
-造林	9	35	15
-刀术	0	1	6
-鲜绿色	0	1	0
-凌海	7	13	4
-战幕	0	0	1
-分期	24	19	0
-无锡县	5	5	0
-冰熊	2	1	2
-名医药	1	2	0
-劫匪	9	8	22
-公私	22	12	0
-冒用	1	0	0
-总额	4	12	56
-灌肠	10	12	42
-冤狱	3	4	1
-党中央	0	3	0
-送死	3	0	1
-现代派	10	17	4
-刀柄	1	0	6
-梭子鱼	3	1	4
-前年	0	0	1
-冶炼	12	90	8
-列支	3	2	1
-投保	10	8	9
-分权	14	37	7
-分机	5	5	35
-承办	2	7	3
-危机感	0	2	1
-郊区	19	52	18
-近照	0	0	1
-犯罪率	0	1	0
-热流	22	38	7
-冷点	1	0	0
-文化学	8	43	0
-把儿	0	2	3
-圆明园	67	13	17
-北戴河	152	27	1
-戒心	0	1	0
-株洲市	215	8	0
-遗愿	1	1	3
-歇斯底里	6	4	2
-折伞	1	0	3
-劝和	2	0	0
-抗体	45	73	193
-全称	6	1	0
-热泪	5	1	2
-穷棒子	4	0	0
-公祭	4	7	3
-潮阳市	4	1	0
-抄写	1	3	0
-出格	2	2	1
-戴孝	1	0	1
-尼克松	12	8	16
-追求	69	69	54
-双季稻	2	0	0
-供销社	1	10	26
-刀架	2	0	0
-激酶	0	49	107
-迅猛	7	12	0
-辩白	0	0	1
-指战员	0	1	0
-炼狱	40	12	18
-戒律	4	14	24
-刀枪	2	1	1
-新东安	1	1	0
-照常	2	8	1
-成心	1	4	0
-赤卫军	0	0	1
-全程	78	900	3
-别扭	2	4	6
-返潮	1	0	0
-僵蚕	12	4	0
-分文	4	28	0
-肠套叠	1	0	4
-马赛港	0	1	0
-软管	34	69	66
-农牧	19	175	2
-连港	1	1	0
-上饶市	161	11	0
-冷漠	18	20	11
-做饭	5	2	8
-勇为	0	1	5
-海城市	30	7	0
-遮遮掩掩	0	0	2
-偷闲	4	3	1
-烟海	3	0	2
-凌河	11	12	5
-乐清市	371	15	1
-遛弯	2	0	0
-别墅区	2	1	11
-影视界	1	4	1
-成年	20	15	13
-军犬	4	6	2
-避嫌	1	0	0
-圣雪绒	0	1	0
-石灰石	16	7	1
-大义灭亲	0	0	3
-批准	5	72	2
-懵懂	8	3	1
-部下	0	4	3
-劣势	3	1	4
-惧色	0	0	1
-我市	0	33	0
-激进	34	26	0
-恶运	1	0	0
-油盐酱醋	0	2	0
-凌汛	0	1	3
-功勋	3	26	14
-凶杀	2	16	0
-无功受禄	1	0	0
-生物防治	3	26	8
-门诊所	0	0	1
-分散	131	345	21
-愁绪	1	0	1
-笔杆子	4	1	0
-神来之笔	0	1	0
-扰动	17	17	14
-文化宫	1	15	38
-大题小做	1	0	0
-分数	38	30	49
-点燃	32	26	2
-扩印	1	2	0
-崂山区	12	33	2
-元素	299	327	493
-仪表厂	0	9	64
-遗忘	74	154	26
-遗志	0	0	3
-分明	0	1	11
-劲儿	0	2	10
-印染厂	1	0	6
-剃度	1	0	1
-戏弄	4	2	1
-抗争	3	14	18
-手术室	24	12	12
-南天门	11	6	5
-党章	6	26	0
-铁矿石	27	7	6
-批判	51	193	206
-热气	9	8	2
-通条	0	0	2
-非同小可	2	2	0
-加印	1	0	2
-兽皮	8	2	1
-消炎片	0	0	14
-流浪汉	12	30	13
-加压	36	59	0
-内痔	7	1	2
-管风琴	7	2	1
-避孕	26	32	5
-郁南	29	3	1
-轴箱	1	6	2
-勿施于人	0	1	3
-房契	1	1	1
-扶助	2	35	5
-减法	26	42	43
-加厚	2	2	0
-遐想	3	2	16
-死气沉沉	0	1	0
-神圣化	1	0	1
-热水	66	151	6
-办发	0	3	0
-动力	271	1443	168
-工作站	3	25	5
-衰减性	0	1	0
-道情	7	16	49
-迟滞	5	2	8
-切断	7	110	7
-流程图	4	61	32
-文化局	0	6	151
-餐饮业	26	35	3
-波兰共和国	12	3	0
-折中	8	4	5
-加区	1	0	7
-高新科技	5	29	2
-入神	0	5	5
-棕榈油	4	2	2
-汽化器	0	0	5
-冬烘	3	0	0
-勋业	0	4	1
-那场	2	10	0
-遗恨	2	4	23
-出来	5	273	61
-办厂	0	1	0
-勇于	5	9	0
-投产	1	3	1
-承兑	12	29	14
-便携机	1	0	1
-喜从天降	1	1	0
-灾祸	4	0	4
-弹无虚发	7	0	0
-冰灯	5	7	3
-助剂	1	107	64
-烈火	138	38	24
-火箭	179	191	172
-灯笼	61	56	45
-投井	0	0	2
-内疚	1	0	1
-单色光	1	3	0
-副将	1	1	3
-邱县	17	55	6
-百衲本	2	0	0
-烟火	34	24	29
-食用菌	129	134	17
-新气象	0	1	1
-三面红旗	1	0	0
-扬剧	0	2	1
-通明	14	15	8
-影视片	4	5	2
-烟灰	3	3	2
-幻想国	5	1	1
-工农红军	6	119	1
-遂意	1	1	1
-沽源县	2	0	0
-总队	0	194	105
-速效	40	47	0
-焦枯	0	2	0
-车箱	1	0	0
-不堪入耳	0	0	1
-偏光镜	1	2	5
-烘焙	48	93	36
-愚笨	1	0	0
-承修	0	1	4
-热源	2	17	15
-农畜	2	8	0
-养神	2	6	4
-执勤	0	6	0
-势利	5	1	2
-凯歌	12	11	21
-战局	0	4	3
-郡主	3	9	34
-通晓	3	8	11
-肠梗阻	1	3	25
-凹槽	2	3	2
-承保	4	2	6
-光网	2	3	11
-刑期	1	2	0
-进深	1	1	4
-勃兴	0	1	5
-烘烤	15	19	2
-农田	65	87	5
-选样	0	0	2
-毛里求斯	37	3	0
-农电	14	10	0
-分档	2	1	0
-哪门子	0	1	0
-内码	1	4	2
-元老	5	5	9
-恬适	1	0	0
-别提	1	1	2
-转筋	4	1	1
-唐家庄	4	0	0
-副官	0	0	2
-逐条	0	4	0
-农用	71	48	1
-行成于思	3	2	0
-中药房	0	0	1
-总集	0	11	17
-打嗝	0	6	0
-调度员	4	6	7
-夏洛特	76	9	7
-遗传物质	0	2	0
-恤金	0	1	0
-烛照	1	5	1
-悖论	4	25	187
-火绳	7	1	7
-扇坠	1	0	0
-遵守	3	12	3
-玻利维亚	50	6	2
-过火	4	0	0
-扣发	0	0	1
-扭力	18	22	0
-遗弃	9	21	1
-芙蓉区	19	29	0
-光耀	41	34	53
-扶养	3	8	1
-散文集	1	7	62
-辉石	6	23	34
-扭动	3	1	0
-发射器	0	8	210
-户头	0	1	3
-懒散	2	2	1
-人工流产	8	5	5
-屠宰税	0	3	0
-铁合金	12	52	19
-力图	0	5	7
-炫目	6	11	0
-家道中落	0	1	0
-阳电子	1	28	0
-魂牵梦萦	1	0	0
-势力	8	81	59
-免罪	1	0	0
-花落花开	0	0	3
-户外	138	402	37
-凫水	2	0	0
-初春	17	5	0
-火线	127	93	26
-劈头	6	0	0
-养禽	5	4	0
-炭盆	0	0	1
-情人节	144	61	118
-道德	465	778	107
-扣压	1	0	0
-疑问句	0	4	9
-总院	1	45	46
-内外资	1	4	0
-石灰窑	15	6	6
-遐思	3	3	4
-白鲢鱼	1	0	3
-俄通社	1	0	0
-燎原	25	131	29
-邮品	1	7	2
-马塞卢	3	0	0
-火红	36	17	4
-房基	0	2	1
-卡通城	1	0	0
-大白话	0	0	1
-远游	6	1	8
-轮箍	0	0	1
-平面波	0	0	2
-调制解调器	4	0	18
-灵机一动	1	3	3
-诊断仪	0	1	24
-旅顺口	26	10	3
-动向	3	11	16
-车站	49	67	343
-英国式	13	3	0
-成山	8	5	25
-全站	8	10	0
-点球	16	21	18
-戒尺	1	0	0
-爱出风头	1	1	0
-扫兴	1	1	0
-光纤	238	146	61
-扼住	0	1	0
-扩军	0	0	1
-凌源	33	5	0
-劳务	64	341	14
-交界处	0	2	1
-邮包	8	2	4
-分析	163	6015	4610
-劳力	9	13	2
-先发制人	2	0	5
-分枝	35	41	10
-转移	69	541	178
-躲避	55	62	16
-劳动	752	1233	36
-勒令	0	1	0
-选曲	0	4	1
-五味子	51	55	41
-输电	58	150	20
-石榴裙	2	2	3
-做鬼	2	2	1
-近现代	67	203	0
-剪子	4	12	1
-九江市	203	8	0
-警报器	0	2	18
-斯洛文尼亚共和国	1	0	0
-削弱	1	1	1
-储量	20	62	97
-戕害	1	1	0
-打听	2	0	5
-冷焊	5	1	1
-党籍	1	3	3
-成就	132	492	55
-刻意	4	1	1
-炭画	0	1	1
-世界史	21	31	29
-选材	2	22	5
-投资额	0	0	8
-前庭	37	10	9
-经济法	191	375	0
-照度	10	30	13
-热浪	9	3	6
-锅炉房	4	5	1
-快棋赛	0	1	2
-燕儿	5	7	6
-示威者	0	1	0
-冷热	45	40	2
-冷烫	3	0	0
-照应	0	2	1
-到手	2	2	0
-选本	1	7	7
-里应外合	0	1	0
-内省	6	2	13
-军用	128	100	1
-信息学	8	97	51
-出榜	1	0	0
-所在	0	3	14
-九运会	0	0	1
-关税	50	61	59
-战将	9	23	57
-发射场	2	2	19
-公章	3	5	4
-创新	643	3178	754
-远洋	121	181	7
-打响	2	5	1
-唯我独尊	1	2	7
-服务年	0	15	0
-白砂糖	1	0	3
-典礼	2	18	84
-中心组	0	14	1
-房地	3	21	0
-光绪	29	108	13
-违法	38	269	7
-邱北	4	2	0
-公立	22	149	1
-光缆	37	32	110
-分校	2	142	1024
-慨然	1	2	2
-劲升	0	1	0
-前往	5	6	0
-炭疽	19	206	7
-烘炉	1	0	5
-逐月	4	6	6
-车管	4	2	1
-怒骂	0	0	3
-发芽势	0	0	1
-印度支那	8	3	1
-写生	17	220	74
-学科群	0	3	1
-邮发	2	0	0
-原则性	4	1	1
-逮捕	10	8	5
-动员	7	55	35
-总长	0	0	2
-圣保罗	45	50	2
-托叶	8	15	2
-试金石	3	0	2
-过激	3	0	2
-动听	5	30	10
-十三大	2	3	1
-制成	0	13	0
-格鲁吉亚	28	8	1
-光线	44	36	46
-冰片	10	25	4
-追根	16	2	0
-好人家	1	3	0
-透明	254	169	11
-独木桥	3	2	5
-扫描仪	9	9	102
-逐日	20	15	9
-戏友	0	1	0
-勤俭	9	4	9
-发热量	1	0	12
-党群	1	2	0
-凉爽	5	1	0
-慈母	27	7	4
-战功	1	3	3
-近海	30	45	0
-遂心	4	1	2
-炮灰	8	1	4
-过滤	79	448	71
-较真	1	0	4
-蜂巢胃	0	0	1
-转租	1	1	2
-转危为安	1	0	0
-软禁	1	2	0
-车窗	7	3	2
-房东	10	15	19
-兔肉	45	90	168
-脑细胞	5	5	6
-娘娘腔	1	0	0
-力士	27	95	38
-加塞	2	4	2
-火碱	1	0	0
-初样	1	0	0
-党代会	0	2	1
-到时	0	1	0
-房主	0	1	2
-追查	2	1	1
-激越	2	0	1
-合议制	1	0	0
-戏台	2	13	93
-金犀牛	1	2	0
-典籍	11	70	12
-邢台	262	35	1
-焊料	0	9	8
-患者	12	275	25
-迷梦	11	15	10
-战勤	0	0	1
-连续函数	0	0	1
-我县	0	10	0
-送来	0	1	0
-出没	4	29	8
-打印纸	0	0	7
-关系	150	1881	926
-成名	13	36	31
-力天	12	41	0
-击沉	1	1	0
-同呼吸	0	1	0
-心魄	0	2	3
-炯炯	3	0	5
-遍布	2	2	0
-勉励	0	1	0
-愤激	0	0	1
-百分一	0	0	1
-蚰蜒草	0	1	0
-硫酸钠	0	11	46
-龋齿	8	0	11
-软磨	2	0	0
-甜丝丝	0	0	1
-成化	25	77	3
-火砖	0	0	2
-龌龊	6	1	2
-击毁	2	1	0
-硫酸钾	4	2	14
-什么样	16	23	2
-肺吸虫	1	4	1
-超巨星	0	1	6
-战前	7	39	0
-六盘水	277	37	1
-思辨	26	47	18
-击毙	3	3	1
-车程	2	0	1
-动因	0	28	8
-通信业	0	7	0
-戏单	0	0	2
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-快门	19	9	14
-俄罗斯	1701	489	71
-刘桥	11	9	1
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-总谱	0	13	25
-演播厅	0	1	5
-原索动物	0	0	1
-炭火	1	2	0
-郎中	6	48	52
-树脂漆	0	0	12
-兵临城下	5	6	8
-透支	17	5	12
-总府路	1	0	0
-出气	4	6	5
-拉祜族	14	27	0
-选修课	1	48	6
-土霉素	6	3	7
-崖壁画	0	0	3
-勃发	0	0	3
-恒温箱	0	0	7
-过渡	88	73	22
-剪床	0	1	0
-朝鲜民主主义人民共和国	15	4	0
-助困	0	2	0
-别是	2	1	0
-炮火	16	9	6
-心髓	0	1	3
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-动土	0	2	2
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-香烟盒	0	0	2
-党纪	3	7	0
-免职	0	12	2
-五台山	96	30	14
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-成功	870	2314	345
-车票	7	4	17
-全国妇联	6	2	0
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-自动线	3	3	6
-珠宝商	1	2	0
-焰心	1	0	0
-车祸	12	14	166
-迎泽	14	24	3
-冬瓜	754	848	397
-紫外线	88	68	6
-进步	29	224	61
-生死线	1	2	13
-正电子	8	18	1
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-运河	89	201	165
-八宝饭	3	0	56
-核武器	19	25	11
-写真	18	132	108
-凝滞	1	2	1
-初期	15	62	3
-自卫权	0	0	1
-躬逢	1	0	0
-刺探	0	4	0
-兀自	0	0	1
-党组	0	13	1
-总计	2	0	3
-逆水行舟	1	0	0
-内秀	1	4	0
-凶气	1	0	0
-警卫团	0	1	2
-学而优则仕	0	0	1
-公粮	0	0	1
-遗少	0	0	1
-刚果	53	37	6
-总论	0	63	123
-户主	1	0	0
-火石	37	12	5
-一拍即合	0	2	0
-柯尔克孜	6	20	0
-轻盈	4	12	3
-发射光谱	5	17	2
-道岔	1	8	19
-行政处罚法	6	8	2
-军眷	0	1	0
-总评	1	8	1
-白鹿原	8	2	5
-战刀	1	3	13
-忧闷	0	1	0
-出殡	2	0	1
-难以忘怀	0	1	0
-急躁	1	0	0
-熔合	5	3	2
-内科	175	395	1
-嘉峪关	55	7	3
-运气	25	34	24
-熔化	15	7	6
-遗容	0	0	2
-玉米饼	4	5	70
-谢夫隆	1	0	0
-灰白	31	5	0
-兼程	3	7	3
-惯用	7	49	0
-文化城	1	9	0
-逆料	0	0	1
-判断	27	117	65
-兵站	1	4	4
-凯旋门	6	21	43
-分子筛	10	3	16
-还款	2	23	16
-进退两难	0	1	0
-戒刀	0	0	2
-石灰水	0	0	1
-小礼拜	0	1	0
-身边	85	216	123
-这次	10	3	0
-龃龉	1	0	1
-戏剧	137	586	156
-火眼	3	2	3
-遂平	12	2	2
-辽源	54	9	0
-照壁	10	10	14
-加固	13	237	42
-粮棉油	3	1	0
-灯盏	26	12	15
-组织性	1	4	0
-殡仪馆	4	4	49
-冰球	38	39	27
-兵符	2	0	6
-共管	4	4	5
-阜平县	4	0	0
-市场占有率	1	1	7
-凶残	3	1	1
-蔺相如	5	7	0
-战具	0	0	1
-吉水县	13	4	0
-油漆厂	0	1	3
-理所应当	1	0	0
-服务性	10	8	0
-烂泥	38	4	0
-大有作为	0	0	2
-月全食	0	0	1
-典章	3	9	9
-判明	1	0	0
-防护衣	1	0	1
-适时	12	4	1
-阅兵式	1	2	11
-南通社	1	0	0
-勃勃	0	3	3
-川藏线	2	2	3
-出生率	0	0	7
-烧毁	7	0	0
-西五路	1	1	1
-大要案	0	1	0
-造成	0	23	2
-爱好者	0	186	39
-副总	1	1	0
-炽烈	1	0	0
-灶神	4	2	2
-安卡拉	18	6	3
-憔悴	0	3	12
-农科	30	46	2
-遗孤	0	3	5
-遗存	0	15	20
-我军	0	2	1
-转播台	0	0	3
-马赛曲	2	0	3
-分泌	33	54	21
-公署	0	13	40
-速成	82	603	424
-焊条	16	33	469
-遗孀	0	0	2
-居高临下	1	0	0
-军种	4	2	1
-通报	1	23	158
-制服	19	75	17
-转瞬	2	1	0
-伴生树	1	0	0
-父母官	0	0	1
-道家	97	63	9
-阿拉伯	252	124	5
-惨痛	2	3	1
-分洪	5	10	0
-成分	19	143	16
-悬索	8	24	0
-劫夺	7	1	1
-千岁爷	1	0	0
-击溃	3	1	0
-性质	4	95	98
-米字旗	1	0	0
-农税	1	0	0
-灵秀	13	8	1
-炼焦	20	12	0
-文人相轻	0	1	0
-到校	0	1	2
-淅川县	24	1	0
-烟波	15	8	6
-分流	28	50	26
-分派	2	0	0
-焊枪	0	2	8
-写稿	1	4	0
-直立人	2	4	2
-炽热	8	9	1
-入股	0	9	6
-怀里	1	6	2
-道学	14	15	7
-通才	7	12	1
-株洲县	39	0	0
-煤尘	5	2	0
-前提	1	10	7
-浩浩荡荡	0	1	0
-全美	68	13	3
-冰盖	5	2	8
-躬身	1	0	0
-恙虫	5	1	0
-鼎力相助	0	0	1
-初始化	4	6	3
-使用者	2	9	3
-打靶场	0	0	1
-光荣	106	73	93
-交换机	24	21	157
-点点	44	75	14
-剧情	6	17	13
-身躯	0	1	3
-闹笑话	0	0	1
-发家史	0	0	6
-到来	0	17	6
-转眼	3	1	2
-烟民	2	0	3
-照实	0	1	0
-有天没日	1	0	0
-田秀才	0	1	0
-军礼	0	0	5
-六经	19	22	1
-道子	5	12	0
-工薪族	7	6	0
-灭种	0	0	1
-胶州市	120	5	0
-妖言惑众	0	0	1
-软盘	1	2	5
-燕京	51	29	12
-诱惑性	2	0	0
-入耳	1	7	7
-别样	36	36	0
-职业装	1	16	5
-点焊	3	6	8
-焊机	0	13	184
-思路	24	242	87
-并蒂莲	1	1	5
-照射	4	35	16
-怪象	1	0	5
-出游	3	12	0
-黄牛党	0	0	2
-家家户户	3	2	0
-烛泪	2	0	3
-炉盘	0	0	4
-分治	3	11	10
-出港	2	2	0
-阿拉善盟	13	3	0
-成全	4	14	20
-体循环	1	0	6
-公用电话	1	1	1
-亚马孙河	1	0	1
-煤层	46	18	15
-本专科	0	14	5
-消火栓	7	19	3
-白领阶层	1	0	0
-奖牌榜	0	0	1
-悔罪	1	1	1
-必须	32	263	1
-轻生	2	2	4
-点烟	1	5	1
-甘丹寺	0	0	2
-冻疮	10	15	0
-烂漫	4	11	13
-转盘	23	25	34
-加拉加斯	4	0	0
-共同富裕论	0	0	1
-煞尾	0	1	1
-出浴	1	2	2
-公约	2	105	442
-凛然	1	1	9
-出海	4	9	0
-憎恶	3	5	0
-兜肚	2	0	6
-那儿	0	7	8
-判案	1	15	6
-中牟县	23	3	0
-成像	22	216	99
-停车楼	1	0	0
-兽类	6	8	30
-塞瓦斯托波尔	8	2	0
-出活	0	1	0
-分母	1	1	0
-加大	3	61	0
-服务所	0	5	0
-心音	7	6	10
-电磁波	27	46	18
-憎恨	6	2	1
-入网	3	7	0
-冬眠	16	8	8
-邓小平	175	48	35
-前排	4	2	0
-怪话	0	2	0
-怪诞	37	7	4
-炎症	14	37	49
-劳动价值论	6	16	4
-益鑫泰	1	0	0
-到期	14	24	0
-外毒素	1	2	4
-刀法	0	7	43
-战俘	6	15	6
-泗阳县	34	3	0
-火种	7	3	16
-怪论	0	0	2
-迈步	2	5	0
-点灯	10	7	0
-辽河	82	61	5
-点火	28	35	20
-石灰浆	0	1	1
-变速箱	6	23	22
-达江	3	5	2
-娘家人	1	0	0
-剪彩	5	3	3
-常识课	0	4	4
-刁民	1	0	1
-辽沈	14	6	0
-美食佳肴	1	0	1
-初夜权	0	0	1
-分歧	11	7	7
-恶臭	16	2	0
-野牛草	1	0	0
-流行病	29	70	5
-战伤	1	7	0
-分步	12	53	0
-遇害	0	6	3
-灵石	26	15	13
-戈兰	42	14	4
-剧作者	0	1	0
-兼类	1	0	0
-烟墩乡	0	1	0
-逐户	1	0	2
-边沿	5	1	3
-飞车走壁	0	1	0
-功夫	340	173	117
-分段	55	26	7
-光芒	34	45	47
-戡乱	1	1	0
-战例	0	15	7
-拉西乡	0	0	2
-薛埠镇	0	1	0
-刷新	20	18	1
-选择	202	663	582
-全线	7	7	1
-功利性	4	0	0
-出洋	1	1	1
-车皮	3	1	0
-警卫员	0	0	1
-邮件	69	205	49
-急诊	65	109	6
-走弯路	0	6	7
-佛罗伦萨	55	16	8
-剪影	13	2	21
-跨年度	1	1	0
-方言词	0	26	0
-租赁制	0	0	1
-出炉	1	0	0
-连枷	3	3	1
-阿拉善	89	14	3
-滚动摩擦	2	0	0
-文化厅	1	6	24
-前景	9	45	58
-盥洗台	1	0	0
-黔驴技穷	0	0	1
-炎炎	5	3	14
-内线	13	5	4
-助学	6	179	1
-母树林	0	2	0
-北上	23	21	4
-全封闭	21	6	0
-慢性子	1	0	0
-一穷二白	0	1	0
-自发性	20	3	1
-资治通鉴	44	77	36
-成堆	0	2	2
-遗失	64	52	2
-鲁班尺	1	0	0
-懊恼	2	0	0
-邮亭	7	0	1
-养老	93	350	33
-轮番	1	0	0
-化为	3	14	0
-凶焰	1	0	0
-房前	2	0	1
-战国	803	194	50
-长乐市	36	2	0
-探空火箭	0	1	4
-创汇	8	5	1
-炊烟	3	2	4
-辐照	30	43	2
-惹祸	7	5	1
-通信兵	1	2	0
-六腑	1	0	1
-道姑	6	2	1
-小商贩	0	0	1
-草履虫	2	0	4
-托付	1	3	2
-美国式	15	8	0
-房地契	0	1	0
-戈壁	52	13	11
-轴瓦	7	11	13
-点歌	2	20	1
-几率	5	2	0
-熊切	2	0	0
-副手	3	3	0
-苹果园	11	9	3
-综合法	3	0	5
-铭记在心	1	0	0
-嬉皮士	3	3	5
-高能物理	6	6	0
-选拔	6	237	23
-剽悍	6	0	0
-关联	82	147	24
-卡路里	5	3	3
-推陈出新	1	1	0
-懈怠	1	1	3
-灵猫	14	9	18
-那位	2	1	0
-刺桐	16	5	7
-辰河	3	1	1
-百分制	1	1	0
-好莱坞	130	70	36
-军管	0	1	0
-转用	1	1	3
-遗墨	0	6	7
-成型	16	548	93
-刨根问底	0	1	0
-追授	0	10	0
-连杆	20	29	3
-空空导弹	1	5	156
-忠魂	2	12	15
-剪报	2	1	3
-道外	0	8	0
-匆促	1	0	0
-冰碴	1	0	0
-失语症	0	2	14
-酚醛塑料	0	1	2
-道奇	32	6	11
-前方	15	20	13
-共聚	9	27	5
-造影	5	38	64
-通性	0	7	6
-炉灶	3	5	8
-加害	3	1	0
-务实	10	84	5
-加宽	2	2	0
-炉灰	2	2	0
-我国	439	233	2
-炉火	2	4	5
-凭照	0	0	1
-加密	48	178	59
-这样	445	1006	51
-克雅氏症	0	0	1
-遂宁	81	13	3
-压力锅	1	10	9
-是不是	5	3	0
-边民	2	6	0
-永葆青春	2	1	0
-蜻蜓点水	1	0	0
-平顶山市	136	8	0
-对立统一	1	0	1
-轻率	2	0	2
-打伞	2	2	0
-巴中市	66	7	0
-退换	0	2	2
-选手	0	16	17
-情网	2	3	40
-前日	0	2	1
-希腊共和国	2	1	0
-其美	2	4	9
-工作狂	5	2	6
-认定书	0	0	1
-忠骨	0	1	0
-煽动	10	1	0
-怀集	28	4	0
-适才	2	1	0
-情绪	138	211	59
-刺柏	2	0	5
-宜兴市	178	9	0
-冲破	21	10	1
-伟晶岩	5	0	2
-成团	5	2	4
-成因	4	104	10
-亮光光	0	0	1
-截取	1	4	1
-通往	88	48	0
-轻狂	7	4	8
-劝导	2	0	0
-刁滑	1	0	0
-遵命	9	2	2
-打仗	0	7	9
-商品房	50	33	18
-托举	1	1	1
-反射层	1	0	1
-初步	20	88	76
-刚毅	5	2	21
-辞源	3	0	1
-火球	14	12	19
-熟人	5	1	3
-惟我独尊	0	2	3
-刑法	309	368	86
-远望	31	31	10
-邦交	1	2	0
-情缘	30	111	320
-前敌	1	9	0
-命运攸关	0	1	0
-送报	2	2	0
-远期	51	30	5
-八股	11	3	7
-全能	191	302	14
-返校	4	0	0
-漆黑	39	15	3
-兰考	51	4	1
-快餐	40	49	59
-灿然	1	2	4
-爆炸物	2	13	0
-刚正	1	3	0
-办学	6	144	12
-逞强	3	0	1
-恶行	0	2	0
-悬臂	35	8	0
-烟斗	20	17	17
-慢中子	1	0	0
-长一智	0	0	6
-分清	3	14	0
-按图索骥	10	0	0
-辉煌	101	240	101
-情结	1	12	85
-打井	3	2	0
-进来	2	7	5
-中间人	5	1	5
-黄山市	226	9	0
-白鳍豚	2	3	1
-初次	35	13	0
-刻板	6	2	2
-追捕	20	17	23
-道士	28	57	67
-中间体	1	43	28
-刻本	0	19	20
-文化史	2	99	143
-五年计划	0	12	15
-那么	23	155	0
-环保局	1	4	92
-包产	0	1	0
-柳叶眉	0	0	1
-刺杀	56	19	10
-邀功	2	0	0
-装卸车	0	0	2
-焦作市	160	4	0
-兴安盟	58	10	0
-远景	29	71	16
-勤劳	14	13	2
-交割单	0	0	3
-成器	3	1	7
-舍本逐末	0	0	1
-全胜	9	12	0
-慈溪	135	23	3
-助威	1	1	0
-所在地	0	5	4
-幼儿期	1	1	1
-公职	8	20	2
-划水	3	1	18
-勤勉	3	1	0
-冷眼	29	1	3
-有把握	0	2	0
-冰砖	1	1	6
-轮班	3	0	0
-还有	14	13	2
-打乱	1	0	0
-通式	1	19	1
-灵牌	0	1	4
-冰激凌	33	32	92
-通产省	4	0	0
-直角尺	1	0	3
-榆叶梅	0	0	3
-那些	203	673	5
-懂得	31	217	2
-冷盘	6	3	17
-还本	5	5	0
-打下	1	2	0
-身临其境	1	1	0
-健身操	1	10	37
-石榴花	4	9	3
-几何学	8	14	29
-中药材	48	103	4
-勤务	1	20	13
-物归原主	0	0	2
-具结	3	0	0
-速度	135	122	318
-灿烂	60	78	43
-氧气瓶	1	0	0
-青年装	0	0	1
-转经筒	0	0	1
-千岛湖	84	61	9
-打中	1	2	0
-加减法	2	43	74
-力学	66	721	260
-制止	13	47	1
-近来	0	2	0
-内胎	1	3	2
-艾利逊	0	0	1
-凶猛	16	33	28
-邢东	5	0	0
-标准煤	1	2	0
-剖析	15	110	245
-热机	2	12	19
-政策史	0	2	2
-吉祥如意	11	6	2
-辞海	13	13	22
-过梁	2	0	0
-焊接	267	622	72
-兰草	13	10	15
-黄花闺女	0	2	0
-功底	0	0	1
-热望	0	1	2
-油渣果	2	0	0
-等价物	0	1	2
-途径	3	52	161
-脂肪肝	30	22	23
-火盆	0	2	6
-软玉	4	0	3
-不寒而栗	0	0	1
-焦急	1	0	0
-枣庄市	129	10	0
-无锡市	857	38	0
-那个	66	86	1
-垃圾场	2	0	2
-迟早	2	4	0
-繁殖力	1	0	3
-百分位	2	0	2
-凶狂	0	0	1
-出版	104	867	42
-惨祸	1	0	0
-选情	1	0	0
-话务量	0	0	1
-忽闪	0	0	1
-目瞪口呆	0	2	0
-匠人	7	6	2
-充血	1	4	17
-温泉市	0	0	1
-连日	4	7	0
-遗址	3	420	4813
-切点	0	1	0
-劲射	0	1	1
-勾勒	0	1	1
-梧州市	122	3	0
-丁香花	6	2	2
-务工	7	87	3
-炼油	29	30	5
-兵船	0	0	4
-这时	0	3	0
-四大发明	1	1	2
-战和	0	5	0
-手书	3	18	6
-关节	112	371	70
-呼伦贝尔盟	4	0	0
-力度	6	24	3
-图鲁兹	2	0	0
-准确	8	15	1
-特别奖	0	0	5
-烧杯	1	0	3
-北侧	2	1	0
-怀柔县	2	1	0
-聚碳酸酯	14	5	4
-加工	128	2806	573
-进料	2	5	0
-思量	1	4	7
-兰花	209	442	86
-内耳	9	7	0
-巴不得	2	0	0
-手中	11	18	15
-凸版	9	2	3
-勇夺	3	3	0
-遭受	1	2	0
-通州	88	54	6
-务川	67	6	0
-这方	1	0	0
-兵舰	0	0	1
-轻轻地	1	4	0
-庚子首	2	0	0
-内耗	4	2	1
-熔剂	5	4	10
-近期	7	20	0
-手下	1	1	0
-大西洋	163	75	10
-加州	234	139	14
-割据	6	1	8
-兴致	4	3	1
-截击	3	0	5
-勇士	108	412	281
-远方	56	72	58
-符号学	14	25	22
-通常	10	5	0
-化作	5	15	0
-包公	52	26	5
-文艺兵	0	1	0
-利民	30	53	102
-手上	3	22	2
-迎来	1	1	2
-冲突	80	265	200
-还是	6	45	0
-适意	1	4	0
-透彻	0	4	0
-遵化	42	4	0
-道场	7	21	46
-随波逐流	6	1	0
-硫酸铵	6	3	13
-剑术	3	2	24
-开户行	2	0	0
-避免	15	40	2
-憧憬	4	8	2
-煤城	1	0	0
-日本国	31	10	3
-面对面	16	53	94
-硫酸锌	9	3	3
-冰窖	6	1	0
-近景	4	5	1
-轮牧	0	0	2
-软片	2	2	3
-战后	62	39	2
-遗嘱	18	14	42
-冬笋	212	131	139
-关键性	1	6	0
-硫酸铜	2	4	5
-遍地	36	18	5
-北伐	10	20	36
-加官进爵	1	1	0
-刺槐	20	1	7
-怀铁	3	3	1
-贴现率	0	2	8
-红彤彤	2	1	2
-化学药品	3	4	0
-战史	2	23	27
-管理者	71	107	25
-前来	0	0	1
-所以	6	35	6
-烟枪	2	1	7
-健身房	8	4	16
-入药	1	1	0
-六艺	5	11	5
-形象化	2	1	0
-字母表	1	2	8
-古巴共和国	4	1	0
-成品	31	16	4
-战友	7	30	23
-经济界	1	1	0
-加农炮	10	12	89
-剖宫产	2	4	1
-进攻	32	62	89
-冲程	1	17	9
-广元市	91	15	1
-熏制	3	1	0
-杭嘉湖	3	3	1
-涞源县	8	0	0
-恤衫	0	3	3
-养育	34	179	8
-头昏脑胀	0	1	0
-本世纪	0	3	0
-垃圾堆	2	1	0
-急速	92	33	3
-忠顺	2	1	6
-急造	1	0	0
-房价	35	35	11
-北人	10	10	2
-辩正	1	0	2
-委员会制	2	0	2
-魂牵梦系	0	1	0
-愤然	1	0	0
-北京	26508	4950	285
-八节	10	4	9
-前朝	6	6	0
-急迫	1	0	1
-军粮	11	14	0
-踝骨	1	3	0
-前期	13	125	0
-冲积	10	5	0
-成命	0	1	2
-剪接	26	13	29
-精加工	1	4	5
-过期	14	10	0
-北亚	24	11	1
-近日	6	3	1
-教书育人	2	3	1
-赡养费	0	0	1
-追悔	3	0	1
-迪拜	110	61	4
-炒鱿鱼	3	55	76
-达标	2	158	14
-兼职	23	129	11
-鱼尾纹	2	0	1
-刘海	180	16	6
-总账	6	5	1
-十二分	3	3	1
-总责	0	0	1
-成员	10	128	29
-房产	139	738	88
-悦耳	6	1	0
-综合派	0	0	1
-急进	8	3	0
-煤场	4	3	1
-迎春	49	50	91
-您老	0	2	0
-近旁	0	1	0
-造就	18	71	1
-火电	34	58	0
-划清	14	7	0
-热敷	6	8	2
-选录	1	0	7
-战区	10	27	33
-房事	7	4	0
-资产负债率	0	0	2
-咽喉炎	0	1	11
-斯马特	1	7	3
-透底	0	2	0
-过来	3	16	1
-输液	21	27	3
-伯里兹	2	0	0
-利欲	2	0	0
-北乡	7	10	26
-勾兑	6	4	0
-军籍	2	1	1
-动容	1	1	2
-炸毁	9	1	0
-懦夫	2	1	4
-过把瘾	3	0	1
-开元区	0	1	0
-旅行车	0	4	5
-哺乳期	4	11	1
-净收入	3	0	8
-忍无可忍	2	1	0
-万用表	27	38	18
-炎热	16	5	1
-追悼	0	3	0
-一年一度	1	0	1
-仁怀市	457	145	1
-出勤	4	1	0
-慧康	0	5	2
-五星村	0	0	3
-创价	1	4	2
-切入	5	2	3
-潜逃	1	1	4
-分内	1	1	0
-俊雅	0	6	6
-过敏	31	51	78
-文史哲	1	6	0
-心醉	3	2	4
-初二	8	8	2
-内外线	3	7	0
-名古屋	61	22	1
-华尔兹	8	10	54
-刀刃	4	16	2
-军帽	1	2	0
-违抗	0	3	0
-准备	52	331	128
-心酸	5	2	3
-齿音	2	0	2
-麻雀战	1	0	0
-橡皮艇	0	0	2
-情爱	52	81	15
-初五	1	8	2
-创伤	100	130	31
-农庄	14	28	137
-烘手	1	1	0
-点明	1	1	0
-苔藓植物	4	1	1
-热心	5	2	1
-远投	1	3	1
-刚体	14	3	3
-心里	50	116	21
-滤色片	0	0	1
-初任	2	6	0
-关掉	2	0	0
-公安部	48	55	2
-乌溜溜	1	0	0
-烦恼	51	97	190
-决定	149	1090	401
-分册	0	107	914
-羊角风	3	0	0
-贵妇人	7	1	4
-创优	4	14	2
-灵渠	2	2	2
-客货运输	1	7	0
-想法	13	26	9
-光棍	33	16	5
-运钞车	0	0	4
-创作	27	710	242
-输氧	1	0	0
-念诵	1	1	4
-阿尔巴尼亚	53	10	1
-反对党	0	0	1
-凝固	39	41	10
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-俄克拉何马州	1	0	0
-适度	29	18	5
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-齐鸣	4	3	13
-富源县	10	0	0
-轻便车	0	1	0
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-冰层	0	2	0
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-蹼趾	1	0	0
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-彻骨	1	0	2
-切切	13	6	5
-分别	13	9	10
-现代舞	2	7	0
-热恋	12	16	12
-冰岛	90	18	0
-蹼足	2	0	4
-边材	0	1	2
-逆差	1	2	12
-硬邦邦	1	0	1
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-违拗	2	0	1
-遮光	13	8	0
-五金店	0	0	3
-冰山	85	53	38
-标准局	0	1	1
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-拳击手	7	5	15
-房地产	838	2417	37
-转炉	26	8	2
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-广东音乐	1	2	0
-间歇泉	0	0	8
-黄锈病	0	0	1
-分则	1	9	1
-围困战	0	0	6
-志达	1	22	36
-金针虫	0	0	8
-冷宫	12	4	2
-黑龙江省	1031	45	1
-切分	3	1	1
-登革热	4	0	0
-冷害	0	4	7
-遭到	0	1	0
-龙门	281	210	38
-生物力能学	1	0	0
-出台	0	5	2
-氢氟酸	3	5	3
-内战	10	17	47
-宇宙飞船	8	1	23
-追忆	49	34	24
-便餐	0	0	1
-平顺县	3	2	0
-分割	20	113	49
-出口	329	354	72
-慧心	14	4	7
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-切削	44	187	18
-退役	14	65	5
-悦目	5	4	6
-全文	18	38	14
-保镖	21	31	123
-出发	23	48	56
-肥城市	40	5	0
-轰炸	23	31	45
-慢性	429	121	0
-免检	5	3	1
-全数	2	3	1
-倾覆	3	4	1
-背投影	0	4	0
-西洋镜	1	1	1
-造孽	1	0	0
-出去	5	37	18
-天时地利	1	0	0
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-悲痛	0	1	1
-全日	8	14	0
-七星拳	0	0	2
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-不过如此	1	7	7
-火灾	78	251	232
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-公敌	1	12	22
-火炉	11	7	27
-冻害	0	4	9
-过早	5	3	1
-众星拱月	1	0	0
-假装	31	2	1
-出名	2	3	2
-庆大霉素	14	19	3
-倾角	6	23	26
-喀什市	3	0	0
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-过时	4	2	2
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-梭子蟹	11	7	34
-惘然	3	1	4
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-傻笑	2	0	0
-苟利国家生死以	0	1	0
-分包	6	33	3
-初值	3	3	0
-粘土矿	3	9	0
-农忙	1	0	0
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-火炮	40	38	47
-火炬	93	145	64
-公斤	1	2	1
-橡皮膏	1	0	1
-游仙诗	10	2	1
-八方	41	106	0
-本州岛	0	7	0
-证监会	3	4	1
-火炽	1	4	0
-龙潭虎穴	1	1	2
-倒车	37	14	3
-冥府	16	7	0
-火炕	3	0	0
-速射	3	15	2
-轰然	2	1	0
-迷惘	12	13	16
-追思	5	3	1
-公文	69	211	22
-倒转	12	6	16
-逃往	10	4	0
-利于	0	6	0
-刑具	1	2	2
-遭劫	1	6	0
-灭火	23	99	18
-军徽	0	1	3
-稳定剂	1	8	33
-军心	0	3	0
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-道喜	2	1	3
-无土栽培	7	19	4
-潭边	2	1	0
-边框	4	7	4
-情理	9	2	1
-分区	29	47	0
-火热	19	19	2
-迎新	0	0	2
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-车牌	12	12	10
-净宽	0	1	2
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-达拉特	2	1	0
-刀口	11	5	1
-怒视	0	1	1
-判例	8	85	32
-别人	18	142	29
-炒汇	8	1	1
-儿歌	22	222	149
-村委会	6	26	353
-分化	20	52	54
-奥克巴	2	2	0
-撒切尔	8	5	7
-跳鼠	18	5	14
-中心角	0	0	2
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-混铁炉	1	0	0
-连接	93	274	206
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-火烧	128	45	91
-安全观	0	4	8
-灯火	25	8	8
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-刀叉	1	3	2
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-八旗	47	14	10
-通山	26	14	3
-加热器	6	8	186
-迅捷	36	42	2
-惠泽	14	11	7
-焊工	79	61	8
-霸权主义	3	3	3
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-全景	102	178	16
-党校	16	99	158
-出品	2	6	4
-天士力	3	9	1
-烈日	21	6	3
-能源部	0	1	1
-慌忙	1	1	1
-心软	2	2	2
-渐开线	12	9	4
-伪政权	0	2	0
-通天	116	97	20
-儿童节	8	2	10
-轮渡	0	40	13
-白蜡虫	1	0	3
-冰川	166	109	179
-遵义	315	50	15
-保险	604	2312	678
-列入	0	2	0
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-点染	1	3	0
-偏袒	1	0	0
-选学	1	4	0
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-生活化	2	4	0
-言之有理	0	0	1
-火焰	331	202	86
-分厂	0	1	20
-列兵	4	1	3
-大兴安岭	59	18	2
-还愿	4	2	0
-近战	8	7	0
-分卷	5	14	20
-奥兰多	33	12	14
-公映	1	1	2
-划分	3	65	40
-金银箔	1	2	1
-盘山道	2	1	0
-监测船	0	1	0
-火力网	0	0	1
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-发现号	1	0	0
-轻水	9	1	1
-火煤	0	1	0
-保障	40	2113	196
-掏腰包	0	1	0
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-志贺	24	2	1
-保守主义	5	12	9
-逆子	3	1	7
-迎战	18	1	0
-异军突起	0	1	1
-烦扰	0	1	0
-候车	2	1	0
-凤城	59	40	14
-灰烬	18	22	13
-红铃虫	5	1	1
-道别	1	3	2
-使用权	2	150	48
-怀表	1	1	0
-慈悲	41	19	16
-出售	10	43	10
-阿联酋	46	12	2
-信阳	305	52	7
-主干线	0	1	2
-分叉	11	7	6
-心迹	3	1	5
-煤厂	3	4	4
-军情	15	12	4
-稀土元素	8	4	2
-分发	2	11	2
-偷营	1	0	0
-分子热	1	1	0
-炮楼	3	2	5
-对话框	1	0	4
-写意	115	163	15
-地铁站	1	29	18
-胳膊肘	2	0	0
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-埃菲尔	11	8	3
-分句	0	1	0
-遵从	1	9	1
-波罗的海	36	13	0
-炉渣	6	3	4
-止回阀	2	1	167
-刊印	0	2	0
-分号	1	3	0
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-志趣	3	0	1
-大足县	133	6	0
-切口	11	22	1
-世界杯	86	99	162
-辛店村	0	0	7
-轻油	1	4	0
-内控	12	16	7
-列出	0	1	0
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-静静的	26	3	0
-柘城县	17	5	0
-典故	14	89	49
-元谋猿人	2	0	0
-热战	2	3	4
-统筹兼顾	0	5	0
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-冰床	0	0	1
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-小数点	1	0	0
-接线员	0	1	2
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-德里	123	1558	73
-切合	2	1	0
-火爆	112	17	1
-冰库	0	1	4
-初八	0	6	3
-健身器	0	0	6
-方解石	7	2	5
-全村	1	2	15
-金钱草	14	5	6
-选定	1	7	1
-到会	1	1	0
-初六	1	3	3
-宿营地	0	2	2
-八月	106	39	19
-忆述	0	0	1
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-冲床	5	15	20
-公有	18	22	0
-到位	1	22	16
-今非昔比	0	1	0
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-电子化	20	27	11
-轻浮	2	3	3
-鹅毛扇	1	0	0
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-氢氰酸	0	2	0
-躲藏	2	2	1
-兴旺	16	41	56
-几多	2	8	0
-六月	106	50	13
-创出	1	0	0
-叶绿体	7	1	0
-凶器	0	1	11
-刺中	0	1	0
-炕洞	1	0	0
-元气	36	40	14
-快讯	1	14	19
-黄铜矿	1	0	1
-忠贞	9	3	6
-初冬	4	1	1
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-火物	0	1	0
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-其时	0	0	5
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-碱石灰	0	0	1
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-辣椒	386	380	234
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-意大利	1184	544	50
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-自由诗	1	2	0
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-新安镇	6	1	0
-辩才	5	3	0
-拒腐防变	1	8	0
-泄水道	0	0	1
-炸弹	141	161	287
-凝思	2	3	2
-轻柔	8	9	4
-国际公法	12	5	1
-军校	14	97	73
-进尺	0	1	2
-过度	67	43	22
-跗骨	3	1	3
-先父	1	3	0
-滑雪板	0	0	4
-蒸发皿	0	0	4
-兼毫	1	0	0
-辉映	0	4	4
-恶疮	1	0	1
-眼力健	3	1	0
-冲散	0	0	1
-远射	1	0	0
-沾沾自喜	0	0	1
-帆张网	0	0	1
-造反	1	5	7
-不了了之	0	0	2
-烷基	33	236	2
-养气	7	11	5
-踽踽	3	0	1
-潞西	10	2	1
-灌河	6	2	3
-顾此失彼	1	0	1
-逗哏	0	0	1
-部手机	0	0	1
-奥斯曼帝国	4	0	1
-热天	2	2	1
-借阅	0	3	1
-全港	3	1	1
-群魔乱舞	1	2	7
-早班车	0	2	9
-过年	15	9	27
-关注	56	121	34
-剧作	2	66	3
-两面光	0	0	1
-对外商	0	1	0
-火棒	0	0	5
-软椅	0	0	2
-冲撞	5	20	13
-录音	54	130	37
-通告	2	6	125
-小日子	3	1	3
-焚化	0	1	1
-齐集	1	1	3
-再植	1	1	6
-光照	22	31	31
-感恩	148	199	28
-橄榄树	7	9	9
-喷喷香	4	0	0
-轻松	734	918	51
-倒霉	68	39	4
-植保站	0	0	7
-凿孔	0	1	0
-农村	1304	3111	67
-违宪	9	8	1
-情歌	44	126	212
-短兵相接	0	0	1
-凿子	0	0	1
-千方百计	3	0	1
-轮椅	22	27	10
-军权	0	0	4
-敷衍了事	0	0	1
-路面	60	130	55
-保健品	12	214	30
-光焰	2	1	18
-德语	196	275	67
-储蓄	36	122	31
-远客	0	0	1
-农机	49	196	11
-情欲	34	14	14
-差之毫厘	4	0	0
-福州市	469	12	1
-前列	64	60	0
-六盘山	23	9	7
-通向	86	66	0
-偏远	1	2	0
-退场	1	2	2
-灯标	1	0	0
-逝去	39	52	7
-怀药	0	11	3
-灯柱	1	1	3
-愤怒	453	92	54
-养殖	41	1529	203
-农林	40	330	2
-灾星	0	1	4
-软梯	0	0	6
-激素	46	95	149
-初基	1	0	1
-归顺	4	3	1
-二星级	0	1	0
-高性能	90	82	0
-合法化	1	2	1
-副伤寒	0	3	7
-请愿书	0	0	2
-载有	0	1	0
-感悟	181	125	139
-达式	3	1	0
-制品	1	3876	179
-计步器	0	1	4
-转椅	0	0	3
-通史	3	336	192
-焕发	0	4	4
-华容县	20	4	0
-基本点	1	0	3
-利器	3	23	40
-忧虑	4	16	5
-辣手	20	8	1
-刀子	8	8	8
-踪迹	7	11	23
-金融资本	0	3	2
-逆向	94	59	1
-远大	7	16	0
-初夏	36	7	12
-著作史	0	0	1
-军棋	5	5	7
-农械	0	1	0
-成活率	0	0	5
-凑手	1	0	1
-苹果树	18	6	12
-逃命	12	3	5
-倚靠	1	0	1
-连声	2	1	5
-停车	31	113	86
-无条件	14	4	0
-荞麦窝	2	0	0
-思索	13	12	28
-分寸	5	14	0
-选取	3	3	4
-燕尾服	1	1	2
-龙车	8	2	3
-分封	5	5	2
-意志	42	58	52
-前卫	67	65	17
-冷敷	5	2	0
-公益性	21	33	0
-刚好	2	1	5
-悲欢	8	6	10
-连夜	0	2	4
-征途	60	23	44
-兴涛	2	1	15
-愉悦	11	38	8
-组织化	4	9	1
-焦化	40	106	7
-金银花	58	51	34
-安全部	0	3	4
-零零碎碎	0	1	0
-意念	22	6	3
-怀胎	13	62	6
-庙滩镇	2	0	0
-金牌榜	0	1	0
-前厅	44	40	2
-冰晶	24	20	13
-削发	2	0	2
-烈度	0	6	12
-死去活来	0	1	0
-普兰店市	49	0	0
-通关	25	170	62
-强风	5	3	0
-通共	2	0	0
-悲歌	9	21	68
-迁就	0	0	1
-心血	10	16	3
-跟随	22	15	6
-造像	4	115	0
-教子有方	4	0	2
-远处	9	2	4
-趾骨	2	1	1
-割伤	0	0	1
-中长期	14	68	1
-分层	73	89	15
-中性盐	2	1	1
-迁居	2	0	0
-管理课	0	4	0
-分居	7	1	1
-意思	12	14	22
-分局	0	60	342
-健身	138	784	97
-梦游症	1	0	2
-过客	12	6	23
-防护门	0	1	0
-访问团	0	1	5
-对立面	1	0	2
-适合	17	217	0
-当铺	4	3	29
-剩余	107	69	13
-八渡	9	2	2
-刀尖	8	2	2
-愉快	32	13	10
-吕勒奥	3	0	0
-半斤八两	2	0	1
-分子	329	541	218
-选区	3	10	11
-券商	17	6	4
-灵柩	1	1	2
-忍耐力	0	0	2
-兵法	13	262	209
-农校	3	6	18
-灌注	8	44	7
-阿拉斯加	112	29	4
-别国	0	2	0
-点心	33	66	108
-鼓鼓	1	2	1
-炉料	1	30	3
-这天	0	1	0
-进士	18	77	31
-凉拌	1008	294	16
-储藏	8	15	5
-决断	11	9	13
-退后	2	0	1
-人世间	1	0	4
-有朝一日	1	0	0
-鸡冠子	1	0	1
-龙头乡	0	0	1
-罗汉果	104	45	12
-矿泉水瓶	1	0	1
-检讨会	0	1	0
-烟子	6	2	0
-压力表	13	8	0
-踏遍	5	0	0
-新乡市	566	24	0
-决斗	26	23	57
-往返	5	4	3
-信鸽	11	28	7
-造假	2	23	2
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-一日游	0	4	13
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-军械	9	14	0
-总社	1	16	0
-切实	2	256	0
-世界性	4	9	0
-迎娶	1	0	0
-标准时	2	0	2
-分家	2	5	2
-诊疗室	1	1	3
-支气管	58	58	9
-拉普拉塔河	2	0	0
-踟蹰	1	0	2
-圆周率	5	3	2
-强项	5	3	4
-冤枉	2	3	3
-龙身	2	2	0
-多媒体	410	509	18
-灌浆	23	78	20
-假释	4	9	0
-河北梆子	0	3	0
-光环	26	19	40
-达川	3	4	1
-制图	19	903	312
-桐柏山	10	1	1
-逐句	1	1	0
-冷却水	13	35	5
-通力	8	43	1
-宣传画	1	5	4
-韶山路	1	0	0
-惠普	1035	19	3
-冲服	1	0	0
-减掉	0	1	0
-慈姑	19	10	22
-齿轮油	2	1	12
-轻易	4	14	0
-归集	2	12	4
-肾衰竭	3	0	6
-灌溉	71	156	53
-算盘子	7	3	32
-台湾省	21	12	0
-总体性	3	0	0
-管理费	0	8	25
-别墅	67	235	645
-红焖鸡	3	0	2
-冷暖	23	69	6
-当雄	8	3	1
-微微的	3	0	0
-逞凶	1	0	0
-软木	23	10	0
-脑下垂体	1	0	0
-内河	31	43	0
-冲杀	1	0	1
-划定	0	3	1
-冬柴	1	0	0
-微词	0	0	1
-舌下腺	1	0	0
-轮机	41	36	5
-凝成	0	2	0
-山里人	3	3	1
-金钱豹	8	4	3
-偷走	4	34	0
-莺歌燕舞	0	0	1
-车桥	8	34	2
-炉条	0	0	1
-分理处	0	0	1
-总站	0	39	151
-迎宾	42	60	8
-值钱	0	1	2
-出庭	2	7	1
-偷越	4	6	0
-载文	1	0	0
-逸事	0	11	37
-到场	0	1	0
-烟尘	16	31	10
-总称	0	0	3
-速写	90	320	241
-精神病院	1	3	22
-冰暴	0	2	0
-驾驶室	3	3	2
-办公楼	4	12	23
-检讨书	0	1	4
-归队	0	0	1
-分属	0	1	0
-玄明粉	0	0	1
-创始	5	5	0
-军事法庭	0	7	6
-转机	2	4	22
-沙丁鱼	14	8	50
-天有不测风云	1	0	0
-公演	0	3	2
-归降	0	0	1
-递升	2	1	0
-速决	0	0	1
-养活	0	15	0
-归附	3	3	1
-悄然	5	6	0
-出巡	0	9	3
-冤案	0	11	20
-速冻	53	16	2
-兰溪	115	36	11
-凶年	3	0	2
-愚弄	2	0	0
-再次	21	34	0
-出差	5	8	6
-恶狗	3	0	1
-灌渠	0	0	1
-出师	12	30	0
-初始	56	23	5
-冬暖式	1	1	0
-车架	5	2	4
-心裁	1	2	4
-幼儿班	0	2	1
-炮手	0	7	18
-逸乐	2	0	0
-感应	177	296	32
-前台	9	16	1
-偏重	2	1	0
-超大规模	6	11	0
-当阳	108	22	1
-连天	14	5	16
-征收率	0	0	2
-冰期	6	4	64
-雍容华贵	2	1	0
-归隐	3	9	10
-通则	2	44	55
-前后	29	87	24
-划子	1	0	2
-内江	114	23	1
-待遇	2	45	35
-轨枕	3	7	0
-净化器	0	12	168
-出席	0	2	0
-女作家	1	26	6
-挑逗性	3	0	0
-准时	11	9	0
-凋敝	0	0	2
-海林市	34	3	0
-通例	0	0	3
-初学	32	68	3
-快要	1	3	0
-进场	3	5	6
-逊克	10	3	0
-剪切	48	101	11
-远因	0	0	1
-冷枪	2	0	2
-内涵	18	34	16
-先生	23	786	657
-剪刀	46	52	28
-到处	13	13	0
-创安	3	21	1
-全然	6	0	1
-忘记	40	92	60
-这块	0	3	0
-超龄	9	2	0
-出征	5	8	10
-偃师市	61	2	0
-鼓楼区	16	15	3
-微波通信	3	7	2
-分布	50	202	223
-人物画	2	109	20
-内涝	0	1	1
-罗安达	2	1	0
-潦草	2	0	0
-影音	28	184	49
-舍己为人	0	0	2
-陆埠镇	0	13	0
-意旨	0	1	0
-服务员	3	56	37
-出彩	0	2	0
-车斗	2	0	1
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-紫貂皮	0	0	1
-弄虚作假	0	1	1
-分工	19	95	3
-思茅	83	8	1
-瓦莱塔	2	0	5
-心路	14	40	26
-转播	1	16	4
-内海	12	8	0
-充电	48	125	26
-造价	40	596	46
-潘家园	16	14	0
-瀚海	27	20	1
-恭祝	1	0	0
-剥削	2	3	2
-心跳	68	32	43
-火控	2	21	2
-倾销	4	87	18
-总署	0	22	1
-迸发	3	0	0
-愿心	0	0	1
-冷杉	11	5	63
-液态水	4	1	2
-利好	2	9	1
-兑现	1	18	5
-意料	5	1	0
-兆瓦	1	1	0
-律政司	1	1	1
-忆起	1	1	0
-加利利	3	15	0
-风言风语	1	0	0
-鼢鼠	1	1	11
-过夜	4	4	0
-通令	1	1	0
-新乐市	17	1	0
-逆光	26	6	7
-大棚菜	0	0	1
-烫发	6	13	7
-冰柱	5	0	6
-南京东路	3	7	1
-鲁山县	33	1	1
-灌木	34	24	15
-烹制	3	2	5
-列宁	85	50	11
-黄花菜	84	22	50
-忠言	4	1	6
-服务台	0	0	1
-别处	3	10	11
-前哨	17	12	14
-性腺	11	47	2
-通体	3	4	5
-冰柜	0	3	5
-信得过	0	2	0
-总编	2	3	5
-授受不亲	0	0	1
-必败	0	1	1
-过头	1	1	0
-送别	13	13	28
-过失	39	24	15
-总统	112	248	181
-灾情	2	15	1
-后半期	0	2	0
-磨刀石	5	1	1
-追加	17	3	2
-惊涛	9	11	19
-刀币	0	0	7
-耐磨性	0	14	1
-潜藏	2	4	0
-烟囱	24	27	23
-答非所问	0	0	1
-连城	112	48	52
-忠诚	61	66	62
-话不投机	1	0	0
-轩昂	3	2	4
-滞销	3	1	1
-漫议	0	0	2
-总代理	0	5	4
-免疫	350	767	83
-判定	9	30	10
-农民	348	848	63
-方山县	2	0	0
-微量	57	49	2
-判官	6	38	48
-剧协	0	1	0
-分式	7	5	5
-白僵蚕	2	0	0
-科索沃	19	2	2
-达官	8	0	0
-逃匿	1	0	0
-微醺	4	2	3
-切开	5	76	1
-升学率	0	0	1
-服务厅	0	3	1
-军民	17	65	27
-点子	7	63	0
-安全门	1	2	6
-接待处	1	1	4
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-递减	9	48	8
-分开	18	9	24
-出息	2	9	16
-出恭	2	0	0
-急茬	1	0	0
-烈女	10	5	7
-逐出	1	4	0
-防寒服	0	0	2
-冒泡	17	1	0
-猪下水	1	0	0
-剂型	1	10	8
-会员证	0	2	2
-鼯鼠	6	6	29
-惨死	1	0	0
-安全阀	20	8	136
-哈拉雷	1	1	0
-减数	9	15	3
-跑鞋	3	0	8
-形骸	1	1	3
-基础代谢	2	0	0
-橄榄油	45	41	49
-兵火	3	3	0
-制备	11	239	42
-初小	2	5	1
-造作	1	1	1
-列岛	3	26	80
-慈心	11	0	2
-光疗	4	17	4
-社会教育	1	8	2
-征集	4	56	5
-中央委员	0	1	0
-副刊	0	4	4
-所有者	16	4	5
-选刊	0	24	24
-迎头	4	0	0
-刚果共和国	3	0	0
-慌张	1	0	0
-凶恶	8	0	3
-透光	34	20	1
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-减收	0	1	0
-选出	0	1	0
-公然	5	0	0
-分库	0	3	1
-经济林	9	4	0
-退化	14	39	25
-新义州	5	2	0
-分店	0	60	60
-放射性	202	98	5
-雨水管	0	1	0
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-关灯	2	1	0
-心身	13	26	0
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-千里驹	0	1	2
-追叙	0	1	0
-初审	2	6	0
-冰棒	4	6	18
-逆势	8	4	0
-抽水马桶	1	1	2
-烟嘴	1	0	18
-退却	1	2	2
-积谷防饥	0	0	2
-假钞	3	2	6
-通假	4	11	1
-千里马	17	15	5
-彩饰	5	1	2
-破冰船	1	0	8
-辽宁	1378	155	7
-烈士	24	602	48
-冷柜	0	12	7
-到头	0	3	0
-轻捷	0	1	0
-红新月会	0	3	1
-光电	221	1627	77
-进城	27	93	31
-边寨	4	12	3
-军歌	2	3	20
-冰棍	6	1	26
-准星	3	6	2
-剧务	2	0	0
-手术刀	3	2	11
-州政府	1	3	1
-新喀里多尼亚	18	2	0
-愤慨	0	0	1
-郁金香	48	31	42
-消耗品	0	0	1
-想来	0	1	0
-马尔代夫共和国	1	1	0
-必读	1	1458	645
-彩霞	11	4	62
-途中	13	44	8
-净利润	4	7	2
-足音	5	5	13
-辞岁	0	1	0
-转折	20	35	21
-荒漠化	8	35	10
-列席	3	3	0
-炼就	0	2	0
-焦作	214	35	1
-中英街	4	1	2
-龟鉴	1	1	5
-平方英寸	0	1	0
-军法	2	2	4
-憾事	1	0	1
-夹板气	0	0	1
-鼷鼠	2	0	0
-开路先锋	1	2	1
-想望	1	0	1
-偏锋	2	2	0
-偶遇	8	3	6
-爷儿俩	1	0	0
-冰橇	0	0	1
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-耳屎	0	0	2
-被管理者	0	2	0
-遗训	2	1	4
-压路机	10	3	12
-郁结	1	2	2
-追随	23	10	3
-痛痛快快	1	0	0
-实际	107	88	8
-织补	1	0	0
-股份	56	8507	164
-耳屏	5	0	0
-金州	43	41	6
-缓缓	0	7	1
-罗盘	18	40	55
-金川	58	31	20
-叫花子	3	2	0
-武器库	2	2	6
-老手	2	4	4
-编组	4	5	1
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-左侧	14	3	0
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-艺名	0	5	0
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-滑头	10	2	1
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-组装	45	412	26
-肩上	7	10	3
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-重建	66	298	133
-涵管	1	1	5
-马拉开波湖	1	0	0
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-溶岩	2	1	0
-良善	3	2	5
-山系	0	3	20
-往返票	0	0	1
-三教九流	4	2	6
-巴东	59	20	1
-金库	10	29	37
-独占鳌头	3	1	1
-金店	1	20	21
-气压表	1	1	17
-底栖生物	4	2	18
-有意思	8	5	4
-翘板	1	1	3
-赔偿费	0	7	3
-避孕片	0	0	1
-客队	0	0	1
-沙鸡	2	8	18
-津贴	6	23	29
-解放战争	16	16	9
-沙鸥	0	1	3
-巴中	68	14	2
-缕缕	1	0	0
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-搭班子	1	0	0
-拉帮结伙	1	0	0
-船家	3	0	0
-站台票	0	1	1
-退隐	1	2	4
-气息奄奄	0	0	2
-差价	12	12	25
-重力仪	19	3	10
-波长	13	19	13
-官面	1	0	0
-加油器	0	0	2
-流言	21	6	7
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-游民	4	6	2
-审限	0	0	2
-漆匠	1	2	0
-渔灯	2	1	1
-西花厅	6	4	3
-分辨率	1	52	69
-红货	1	0	0
-量度	1	14	1
-逻辑	230	575	282
-履约	12	21	1
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-综艺	46	48	10
-可可茶	2	0	1
-霓虹灯	23	9	6
-游水	5	6	3
-肢体	38	29	2
-对证	3	14	2
-里弄	2	6	6
-舞弊	12	32	11
-舞弄	1	2	0
-自救	17	159	48
-线规	0	1	3
-定量	98	187	8
-定金	4	5	6
-红运	10	11	4
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-片麻岩	4	2	14
-良宵	6	3	3
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-化学纤维	6	8	0
-沉默	189	50	63
-满嘴	2	0	0
-崇文	49	50	30
-舒服	6	7	3
-肃静	0	0	1
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-胡说	13	0	6
-节奏	37	60	56
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-重头	1	1	0
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-逼视	1	0	1
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-色子	2	1	11
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-清点	0	8	2
-肉品	8	10	0
-选送	0	1	0
-公主岭市	18	0	0
-轻骑兵	9	2	11
-酒桶	3	3	2
-资料室	0	0	1
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-毁灭性	1	2	1
-绵薄	1	0	1
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-流行	219	438	35
-温水	25	15	2
-古典主义	14	26	11
-浪荡	11	7	2
-决不能	0	1	0
-运输机	1	10	155
-长安乡	1	0	0
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-以一当十	0	2	1
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-人工降雨	0	1	0
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-沙鱼	6	10	6
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-郁积	2	2	1
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-趁火打劫	1	0	0
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-浸膏	0	24	37
-密谈	1	0	4
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-阎王爷	0	1	1
-迎面	0	1	0
-花台	8	3	3
-密谋	0	2	8
-流血	29	8	7
-主人翁	1	4	1
-翻新	12	69	11
-浩荡	3	5	6
-大渡河	14	21	3
-细语	1	5	24
-荧光灯	2	5	52
-罐笼	1	1	0
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-缱绻	9	10	9
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-三合院	1	0	1
-缴纳	0	17	5
-芳名	3	1	3
-胡豆	5	1	11
-缰绳	0	1	10
-远门	2	2	6
-连续性	11	15	8
-浅表	16	11	0
-嵊州	48	8	0
-翎毛	6	15	3
-温泉	160	1490	1249
-老弱病残	0	1	0
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-透过	67	53	0
-季风	31	22	19
-察觉	0	3	0
-收盘价	1	1	2
-脾脏	17	3	0
-渤海	261	194	9
-伏尔加格勒	15	8	0
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-翰林	90	114	26
-情同手足	1	0	0
-网站	349	828	352
-股利	29	23	14
-扭亏为盈	0	0	1
-渭水	19	9	4
-海船	4	17	1
-返青	2	1	0
-小菜	14	55	0
-逍遥	249	254	98
-洋车	4	1	0
-柳城县	8	2	0
-美玉	22	9	35
-山石	7	101	67
-对虾	31	54	109
-法门	43	22	38
-消耗	16	47	19
-胜负	8	6	0
-舞星	0	4	4
-臭气	1	0	0
-股分	1	7	0
-胜败	2	3	1
-花呢	1	0	0
-至此	0	1	0
-耀斑	4	0	10
-浑蛋	0	1	0
-伯明翰	25	7	1
-成都路	4	0	0
-致歉	2	1	1
-臭氧	123	103	7
-海航	46	131	6
-通身	4	0	0
-七言诗	0	9	9
-罂粟	44	42	166
-客运	22	538	14
-考察团	0	0	5
-尿糖	1	1	0
-逆转	70	54	30
-重塑	47	48	0
-聋子	1	2	2
-降半旗	1	0	1
-家贼	1	0	4
-金城	118	85	77
-众志成城	4	5	3
-绒裤	0	0	2
-绿荫	16	9	3
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-造谣	2	4	0
-安全员	20	27	9
-小节	6	4	11
-绦虫	5	37	36
-肝儿	0	0	3
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-退避	3	1	0
-家财	3	0	5
-硅钢片	1	1	2
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-苗乡	7	3	1
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-胜诉	3	9	0
-适逢	1	0	0
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-海胆	33	14	40
-核能源	0	2	0
-弦乐队	0	2	3
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-联姻	1	2	8
-文学史	19	364	204
-艺妓	11	3	5
-一块儿	2	0	0
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-酒杯	7	6	26
-缤纷	166	99	16
-小船	7	10	14
-客轮	0	1	16
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-绿茶	161	87	150
-绿茵	50	23	8
-渐渐	5	4	0
-动态平衡	5	11	3
-通货	19	15	4
-小艇	0	2	4
-字频	0	4	0
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-遂行	1	1	1
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-舵手	2	6	5
-遮荫	1	1	0
-渣油	1	4	1
-麻辣烫	10	3	40
-自此	0	3	0
-宜都	101	11	0
-花卉	186	1072	160
-选辑	0	21	67
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-花团锦簇	3	0	0
-纳贿	0	0	4
-逃遁	1	0	2
-迟钝	5	2	1
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-尿素	31	30	14
-示踪原子	1	0	0
-就绪	1	1	3
-职官	3	23	3
-臣民	1	4	4
-快捷键	0	8	17
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-小苗	1	1	5
-重大	106	640	3
-定都	2	1	1
-岭澳	9	1	0
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-企业主	2	4	0
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-里头	2	25	2
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-脱臼	1	1	4
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-驴皮胶	1	0	2
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-农副业	0	1	0
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-青饲料	1	1	0
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-浪花	36	11	18
-罩盖	0	0	1
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-花农	2	1	1
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-里子	0	6	0
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-花冠	22	22	12
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-航天城	0	5	6
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-河面	0	3	0
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-职工	73	874	25
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-细胞膜	11	6	1
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-逢迎	0	0	2
-而是	0	3	1
-翻案	0	2	1
-清漆	4	70	24
-酥梨	1	3	26
-尽职	5	10	1
-闹市区	1	0	0
-酷暑	1	0	1
-脱脂	20	3	8
-里屋	2	0	0
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-天女散花	2	2	0
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-海绵	612	214	76
-耳性	1	2	1
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-浓茶	1	1	2
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-好事多磨	0	0	2
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-遇见	130	203	13
-青岛市	719	29	0
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-献殷勤	0	0	1
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-羚牛	1	1	2
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-茶陵县	39	1	0
-嵌套	13	2	3
-漆工	3	19	2
-肝风	5	1	1
-细辛	39	34	70
-编译语言	0	1	0
-泉州市	357	38	1
-曾经沧海	4	1	0
-岩洞	14	46	36
-网纲	0	0	1
-安适	2	1	0
-宁都	44	5	0
-东台市	89	8	0
-背光	11	9	2
-里昂	82	78	39
-孔雀	225	193	41
-白葡萄酒	21	3	59
-胜似	2	0	0
-采暖	33	120	20
-孔隙	28	43	14
-客货	3	17	0
-良性	47	36	0
-外骨骼	1	5	3
-安逸	25	47	3
-执政官	4	1	13
-邮袋	0	0	1
-重新	73	78	8
-宅邸	0	2	12
-迁安市	38	0	0
-配电	92	244	6
-爱立信	41	452	2
-四通八达	1	0	0
-男朋友	5	4	33
-遭遇	42	41	30
-配用	0	1	0
-宝贝	377	1332	530
-肋骨	12	10	27
-宝贵	6	5	36
-深绿	10	3	0
-种畜场	0	1	9
-谋杀罪	0	0	2
-尊老	1	2	0
-枯草杆菌	6	0	0
-磁铁矿	3	5	7
-长宁区	22	31	0
-抗压强度	3	19	10
-二十四史	24	26	7
-锡林郭勒盟	24	2	0
-遭逢	5	0	0
-港督	3	0	0
-摩加迪沙	6	3	1
-纯金	16	14	2
-预备费	0	1	6
-重整	19	25	13
-苔原	6	13	4
-塑料套	1	0	0
-湿润	23	22	3
-雁翎队	1	1	1
-南禅寺	4	1	5
-恩施市	34	1	0
-格罗兹尼	6	0	1
-良心	18	14	20
-色彩	392	978	280
-航校	0	4	9
-成像机	0	2	3
-耷拉	0	0	1
-次氯酸	6	1	0
-小剧场	3	0	14
-花城	22	52	88
-小动作	8	5	11
-张庄村	0	1	15
-溽暑	1	0	0
-胜仗	0	2	0
-校领导	0	1	0
-山珍	37	30	12
-理论家	0	9	2
-养老保险金	0	1	0
-色当	7	2	0
-导致	2	8	0
-岳母	9	5	6
-舟楫	4	0	2
-气哼哼	0	1	0
-子集	2	32	14
-细软	4	1	1
-宇通	23	42	2
-冒险主义	0	0	1
-海路	5	25	3
-实质	34	19	7
-漫天	30	8	10
-洲际	23	184	0
-二郎腿	1	0	0
-航标	9	27	5
-练达	1	1	1
-绿衣	24	5	2
-安达	126	172	19
-安边	6	2	0
-元宵节	4	1	7
-割草机	3	6	8
-邪行	1	0	2
-统计	307	1674	262
-宽裕	2	2	1
-老梅	6	5	4
-普陀区	12	69	3
-英俊	11	7	53
-色弱	0	0	2
-耗时	1	1	0
-小结	3	1	0
-釉料	0	5	3
-产业化工程	0	2	0
-潜力	9	75	56
-胶质	31	51	4
-结账	1	1	3
-释文	2	51	6
-崩岸	0	2	0
-三等功	0	1	0
-花坛	11	4	9
-小组	23	616	211
-岘港	6	3	1
-逸闻	4	9	4
-苛刻	1	2	0
-业务费	0	4	2
-通货膨胀率	0	0	2
-海货	0	3	0
-腋芽	1	0	0
-考核	4	705	63
-线轴	0	2	0
-遥遥	6	1	7
-避孕栓	0	0	2
-去污粉	0	0	1
-院校长	0	2	0
-终身	59	85	6
-释放	28	146	32
-苍古	1	2	0
-平方和	1	2	8
-重播	0	0	1
-光山县	11	0	0
-有志者	2	1	0
-定购	1	4	1
-守车	1	0	4
-化州市	29	2	0
-山猫	18	25	11
-胜迹	4	19	15
-绝缘漆	1	2	2
-腐臭	3	5	0
-深红	31	13	3
-浮躁	6	16	10
-胚乳	2	5	4
-定货	1	1	0
-冬令营	0	1	18
-浓重	0	1	0
-家规	0	1	6
-定责	0	0	2
-宽街	1	2	0
-波黑	22	3	0
-报酬率	0	4	28
-愤世嫉俗	0	1	0
-韶山型	1	0	0
-胜过	1	92	1
-舅母	0	0	1
-苏南	42	32	3
-寿联	0	1	1
-漏子	0	34	6
-眼明手快	2	0	0
-花圃	0	1	4
-审讯	7	2	2
-花圈	3	0	0
-色度	10	18	0
-绊脚石	0	2	2
-审议	3	22	1
-审计	386	1312	398
-胎位	5	0	1
-清算	49	81	44
-法网恢恢	1	0	0
-编著	1	2	0
-采收	1	5	2
-苏区	26	90	6
-蒙得维的亚	7	0	0
-电磁学	16	20	16
-分泌物	0	1	2
-英伦	115	66	26
-资料库	0	14	19
-子目录	1	0	0
-花园	240	1903	3570
-潍县	24	3	1
-舟桥	5	2	2
-羊皮	53	90	11
-企业化	3	7	2
-审读	1	2	0
-月亮神	0	1	0
-苏北	45	21	2
-聚齐	2	0	0
-珠光宝气	2	1	1
-宣讲	2	14	0
-自满	2	4	0
-长三丙	0	1	0
-酣然	2	0	0
-防弹背心	1	0	8
-满意	25	67	34
-考查	1	5	1
-腋臭	8	14	2
-如日中天	2	0	0
-经贸	60	813	13
-经费	4	149	21
-绪言	0	0	7
-肉饼	20	38	307
-供给量	1	0	6
-肉馅	35	90	26
-宽衣	1	0	0
-和平乡	0	3	1
-安身	5	8	4
-遥远	100	66	25
-自耕农	0	1	0
-长安县	3	2	0
-腥红	1	0	1
-展示	56	549	55
-胎动	3	2	3
-胚轴	0	0	2
-英亩	0	0	2
-老寿星	2	0	0
-潮位	3	2	3
-适龄	2	8	1
-邂逅	40	32	48
-所见所闻	0	0	1
-花花公子	16	2	6
-胆量	3	9	1
-翰海	0	16	0
-潜入	18	20	7
-旅行团	1	2	16
-真空泵	3	19	96
-连续剧	1	22	6
-胃口	2	1	2
-文字学	5	9	10
-小儿科	1	2	3
-老人家	1	0	0
-背包	32	28	33
-尘肺	6	3	17
-色带	6	7	7
-拜科努尔	3	0	0
-学院	91	9189	20320
-绕远	1	0	0
-金果	22	14	4
-居委会	2	9	1057
-里根	10	17	0
-脑袋	12	33	19
-哈哈镜	4	5	5
-舢板	3	4	0
-背部	13	11	1
-宾词	1	0	0
-酷爱	10	2	0
-肥城	65	10	1
-海豚	179	195	153
-量杯	1	0	0
-脓血	3	3	6
-野果	3	2	1
-浓郁	6	6	1
-拖曳阵	1	0	0
-海象	10	6	18
-租借地	0	2	2
-苍劲	1	0	1
-孤雁	8	0	13
-大奖赛	2	64	119
-小舌	13	2	2
-实达	19	16	4
-金杨	10	7	1
-两极管	0	0	1
-色差	15	29	4
-金条	11	46	23
-酒盅	0	0	1
-金杯	20	28	39
-宾语	6	7	8
-小舟	6	6	17
-测量	162	1598	751
-容貌	6	17	1
-老母	12	23	0
-海豹	51	51	74
-胶东	86	25	2
-编委会	1	0	9
-承前启后	1	1	0
-联想	2303	161	25
-采样	46	141	49
-尽管	5	2	0
-重构	38	98	120
-遇难	3	38	3
-容许	14	15	0
-文学士	0	1	0
-辛亥1911	1	0	0
-细胞质	19	3	1
-缴获	0	1	0
-浪费	5	19	12
-野村	33	6	13
-满心	1	0	0
-高低杠	0	1	0
-岩溶	91	65	52
-肉食	25	23	6
-乌饭树	2	0	0
-多渠道	5	2	0
-满怀	0	1	1
-胆酸	4	19	22
-淡绿	9	2	1
-宇野	15	0	1
-艰巨	0	2	0
-良师	1	1	2
-挑战书	0	4	9
-遗臭万年	0	0	1
-下寨村	0	0	265
-家谱	14	17	78
-宛转	4	4	8
-脱氧核糖核酸	4	4	4
-小腹	7	4	5
-触摸屏	27	75	45
-学问	38	57	109
-消解	7	27	7
-胃酸	4	12	0
-官迷	0	0	1
-浊酒	3	1	2
-常见病	168	402	39
-小腿	24	2	3
-节子	0	3	11
-遇险	6	29	13
-遗忘症	0	0	7
-湿气	5	0	2
-维语	1	2	4
-腐肉	2	4	3
-文学奖	0	66	74
-科迪亚克	5	1	0
-潦倒	2	1	5
-耽搁	0	1	0
-字音	0	4	1
-脱落	7	17	12
-津门	28	5	2
-泥鳅	93	76	85
-贫困村	1	8	1
-判决书	0	4	10
-中条山	12	3	0
-膝盖	13	14	2
-防滑砖	0	0	1
-罗缎	0	0	1
-富裕	29	30	11
-马村区	3	1	0
-家训	3	136	96
-日照计	0	0	2
-崇拜	13	54	75
-流量	115	296	129
-自然经济	0	2	1
-股长	0	0	1
-洗雪	1	0	0
-低碳钢	4	7	0
-子音	0	5	2
-屯田	10	8	7
-洪钟	7	2	6
-演奏	6	393	19
-波士顿	111	24	7
-三字经	53	93	168
-绝路	6	0	2
-家计	3	3	0
-花果山	28	10	12
-寒衣	2	1	2
-稀有金属	15	14	1
-普拉亚	1	3	1
-活疫苗	0	2	69
-学长	6	2	10
-海警	2	14	0
-背运	0	0	1
-胃部	4	0	0
-山田	157	50	4
-经过	6	14	15
-汤尤杯	0	2	2
-宴请	1	5	0
-罗网	2	1	7
-苍凉	12	4	10
-家访	0	3	0
-水位计	1	2	29
-舞曲	9	35	109
-清稿	1	3	1
-腊肠	146	127	85
-恩施州	15	2	0
-制作厂	0	1	24
-刑事诉讼法	99	93	56
-港田	2	2	0
-苏军	18	11	7
-淡红	17	1	0
-肛门	79	38	1
-细部	5	190	14
-涡虫	2	0	9
-月份牌	1	1	2
-耳旁风	0	0	1
-小脑	40	40	0
-结转	6	15	10
-腾空	11	9	8
-字面	3	1	0
-小脚	8	4	0
-实践	154	2860	4065
-花哨	1	0	0
-金昌	144	33	20
-宏达	25	156	29
-绪论	0	1	11
-耗材	1	65	26
-湘潭	303	34	4
-酷热	1	1	0
-战役学	1	1	3
-清福	3	8	13
-网罗	7	8	2
-指挥员	0	5	9
-金星	251	210	77
-网网	2	16	0
-统购	1	0	0
-野景	0	1	0
-就业局	0	1	3
-勘探队	1	1	23
-宏远	12	58	14
-邮电局	0	1	12
-胎儿	81	35	8
-不定根	0	1	0
-腊肉	260	132	350
-曾用名	1	0	0
-苏公	14	2	0
-不丹王国	2	1	0
-内燃机车	13	5	147
-织造	10	113	11
-测速	9	35	13
-滦平	11	1	0
-罗纹	12	3	5
-重力坝	3	2	8
-属相	7	13	3
-激动人心	3	2	0
-综观	1	4	1
-致死	21	71	12
-芋头	210	171	108
-宇都	22	11	0
-自治	28	411	38
-罗织	4	4	1
-日月如梭	0	0	3
-续订	0	2	1
-苦主	0	0	1
-清秀	12	3	21
-致残	1	3	1
-芗城	11	6	1
-遴选	1	15	2
-罗经	13	12	14
-联防队员	0	1	0
-重力场	5	8	4
-纠风办	1	10	0
-小肠	74	31	15
-洛阳	1286	169	26
-脸色	0	1	2
-鉴别	15	334	55
-红铜	15	19	0
-纠错	3	30	6
-摩洛哥	55	21	9
-老寨村	0	0	173
-游玩	3	7	3
-酷烈	0	1	0
-肺叶	3	2	0
-肚子	9	11	9
-止血药	0	1	0
-湮没	13	10	5
-拿来主义	1	0	0
-中关村	114	110	5
-滨州	234	43	1
-新景观	0	13	7
-选题	8	26	5
-展现	8	47	1
-空天飞机	1	0	4
-满座	4	2	4
-鲁迅文学奖	2	9	5
-联控	0	5	1
-联接	6	8	24
-文学家	5	19	11
-选项	5	29	9
-实用主义	17	18	8
-逆风	19	21	2
-古吉拉特邦	1	0	0
-肾囊	2	0	0
-漏壶	0	0	1
-聚拢	2	0	0
-里手	0	2	0
-纺锭	1	0	0
-省纪委	0	1	0
-全聚德	7	5	1
-网状结构	0	1	2
-肘子	9	20	134
-洋面	2	0	0
-宋词	121	246	57
-苍天	36	9	26
-血循环	1	0	0
-无所用心	0	0	2
-花山	86	61	7
-脚趾	8	4	4
-纳闷	1	0	0
-标点符号	6	5	2
-优选法	1	2	1
-肩头	1	4	0
-地面水	2	0	0
-纺锤	37	11	4
-居留	0	7	5
-韧皮部	3	1	2
-绥远	24	3	1
-自讨没趣	0	0	1
-茧丝	3	4	3
-涨落	2	3	7
-计划书	1	10	33
-尖端	21	23	3
-家蚕	17	0	0
-花展	0	1	2
-涂装	53	203	38
-魔高一丈	0	1	3
-小篆	4	1	0
-家蚊	1	0	2
-释手	1	1	2
-罗致	7	0	0
-英名	0	3	2
-临朐县	38	2	0
-定见	0	2	1
-五颜六色	3	1	1
-护肤品	2	10	27
-浑身	6	1	0
-腐蚀	71	305	95
-宫殿式	1	0	0
-定规	1	1	1
-存量	34	18	21
-军兵种	2	2	0
-滚开	2	0	5
-安详	3	0	5
-淡紫	27	5	0
-耳机	21	41	146
-自珍	3	19	8
-耳朵	24	116	103
-湖滨	49	110	9
-纹银	0	91	0
-能人	5	15	12
-通间	0	1	0
-名利场	4	1	9
-崎岖	8	9	0
-透露	0	3	2
-安设	1	0	0
-苗圃	16	63	43
-理科生	2	4	0
-道轨	0	0	1
-亚运村	4	33	3
-腿脚	0	0	2
-定西	118	24	0
-潜伏	58	59	15
-膀胱	83	45	10
-缓解	11	24	5
-呼吸道	16	39	1
-洛铜	2	0	1
-能事	2	1	0
-太湖县	37	5	0
-清川江	5	0	0
-浅近	1	0	0
-肥大	15	25	42
-游牧	32	42	2
-酱油	137	70	88
-绿豆	382	371	21
-异烟肼	6	0	1
-空气型	1	0	0
-歌曲集	0	7	43
-起重船	0	0	2
-胶体	44	51	19
-自理	7	9	2
-羽田	17	4	1
-肉麻	3	4	0
-沿阶草	5	1	41
-卫生镇	0	2	0
-腼腆	1	1	1
-饮水器	0	0	4
-消融	4	69	19
-镇定自若	0	0	1
-好玩儿	0	1	0
-腹膜	49	35	2
-科利华	2	4	0
-腰花	18	19	119
-害虫	17	33	28
-骨灰盒	1	0	1
-嫩黄	2	13	1
-长治市	118	20	0
-漳县	10	2	2
-肥壮	0	0	1
-派遣	16	163	19
-小笠	29	6	0
-缝补	1	0	0
-有滋有味	0	1	1
-流通	99	382	23
-流速	11	26	24
-定襄	22	4	0
-流逝	9	5	3
-实装	2	1	0
-花子	9	21	0
-邻舍	0	2	1
-雷霆万钧	1	0	1
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-纸钱	0	1	0
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-肉鸡	43	40	25
-卫生间	21	12	49
-南极洲	21	5	8
-芯子	0	0	12
-胎发	3	1	1
-性高潮	4	1	0
-背后	11	270	0
-胜利	287	361	143
-芦山	16	6	4
-北师大	31	30	4
-色拉	36	19	189
-胜券	21	3	3
-部类	0	1	0
-漱口	4	11	1
-胴体	3	0	2
-巴拉那河	0	1	1
-放任自流	2	0	0
-航母	17	32	187
-翻浆	1	0	2
-尾田	3	2	1
-物竞天择	3	0	1
-背阴	18	11	0
-辛亥首	12	0	0
-小站	20	7	20
-不辱使命	0	1	4
-流连	3	2	1
-胸部	60	23	2
-甲壳动物	6	2	3
-酵母	73	67	59
-腹腔	24	3	0
-弥渡县	5	1	0
-绝迹	1	0	2
-胜利者	6	1	2
-老汤	13	4	5
-烙铁头	1	4	22
-国民政府	51	31	10
-中外合资	25	7	0
-警备区	2	15	2
-背叛	31	39	51
-孝道	6	25	14
-巡回赛	1	25	30
-花季	46	30	22
-肉鸽	20	20	10
-全国总工会	2	0	0
-乱糟糟	0	1	1
-统辖	0	11	0
-子金	1	15	6
-承包商	4	5	4
-通铺	0	1	0
-网膜	8	9	3
-卫生院	0	25	313
-老汉	9	8	4
-股骨	18	1	1
-寒舍	1	0	0
-联户	0	0	1
-泌阳县	46	1	0
-实行	7	109	3
-联手	5	9	3
-航次	6	3	1
-洗钱	11	57	4
-青红皂白	1	0	2
-腹肌	4	2	7
-绞车	3	4	73
-春姑娘	1	0	1
-流转	7	79	27
-尉犁县	2	1	0
-舞池	8	0	3
-宿营	2	0	1
-醒来	2	1	0
-活字印刷	1	4	3
-短训班	0	4	0
-崩塌	10	12	8
-野性	71	28	5
-死难者	2	0	1
-美称	0	0	1
-多姿多彩	3	1	0
-腹胀	0	7	16
-光敏电阻	1	1	0
-绍酒	11	3	0
-电磁场	54	49	13
-胶乳	13	12	17
-老气	1	0	1
-涤荡	0	1	0
-射箭	22	36	24
-苇塘	3	2	3
-邳苍	2	0	0
-胸中	27	6	0
-宏观	239	419	3
-苦味	9	4	1
-摄影机	7	14	40
-仪仗队	0	0	8
-寄存处	0	0	1
-胶丸	0	8	110
-屯溪	34	20	2
-主旋律	2	5	1
-曼荼罗	4	8	21
-东直门	14	28	0
-绕道	2	2	3
-苦命	9	2	0
-武夷山市	32	3	0
-肉弹	2	2	1
-组队	1	4	4
-爱国华侨	0	1	0
-苦参	65	28	3
-部署	2	31	16
-自爱	6	3	8
-金刚山	7	1	1
-屹然	3	1	0
-马尾松	13	1	2
-赔偿金	0	1	11
-芒市	13	7	0
-农科教	1	2	0
-珠海市	716	10	1
-实词	1	3	0
-深秋	3	10	6
-实证	31	653	112
-文法学	2	52	0
-测距	16	92	22
-亡命之徒	1	0	0
-实话	2	8	11
-洪量	0	1	2
-无影无踪	1	0	0
-无线电话	3	0	0
-芳姿	0	1	1
-通顺	3	11	3
-义乌市	339	7	0
-摄影棚	0	0	5
-重提	3	0	3
-存而不论	0	0	1
-遣返	0	5	3
-采撷	1	1	10
-肥实	0	1	0
-乡镇长	1	3	1
-土风舞	0	1	0
-泰顺	96	17	7
-耗油	31	10	2
-润色	4	6	1
-远见卓识	0	2	0
-腮腺	14	1	0
-治外法权	0	0	2
-发牢骚	0	1	0
-定语	3	9	1
-清真	93	333	2
-英勇	32	18	7
-如数家珍	0	0	9
-增值税	65	89	16
-遣送	0	4	1
-导航仪	0	5	84
-安踏	6	2	0
-通风	109	264	45
-编读	0	2	0
-滕州	145	24	5
-休宁县	8	1	0
-开拓性	1	1	0
-醉汉	8	2	3
-矿产品	9	29	0
-长安城	3	15	5
-翠玉	47	20	20
-寄存器	11	6	35
-球墨铸铁	9	14	7
-纸面	8	4	2
-避讳	4	1	1
-自燃	8	16	11
-定计	0	0	2
-官话	4	6	19
-节录	1	4	3
-万水千山	7	4	1
-维达	28	89	23
-胡同	38	132	706
-宣誓	3	7	7
-重振	12	4	0
-苟同	0	0	2
-脏乱	0	2	0
-甘蔗园	3	0	0
-膏粱	5	0	3
-浴血	74	34	6
-舞步	1	6	32
-避让	0	2	1
-腥臊	2	0	0
-津野	2	1	1
-定论	0	9	16
-细长	13	5	0
-胡吹	3	0	0
-编译	46	63	21
-湘泉	2	5	4
-清盘	2	0	1
-淫秽	3	23	0
-背囊	2	28	12
-腰肢	0	5	1
-航模	10	8	0
-湛江	309	52	5
-腥臭	1	0	0
-羁绊	3	6	27
-木结构	17	36	5
-测量队	0	0	5
-湖泽	2	0	0
-遍野	0	0	4
-船桅	2	0	0
-海蟹	13	4	21
-嵩县	39	1	0
-对联	26	94	3
-浴衣	1	0	2
-毛囊炎	0	1	23
-猪婆龙	1	0	0
-尺码	1	0	3
-循环系统	9	4	24
-慧眼独具	1	0	0
-绵软	1	1	0
-洋铁	1	1	0
-舷梯	2	0	0
-凡士林	1	1	3
-大好河山	1	1	0
-清白	33	12	6
-燕山街	2	0	0
-义和庄	7	1	1
-船桨	0	0	1
-船桥	4	2	4
-洋钱	1	1	1
-芥子	35	19	10
-湘江	85	70	24
-节律	6	17	30
-编目部	0	0	1
-油麦	23	64	3
-浑象	0	1	0
-采摘	1	32	2
-液肥	0	1	4
-织锦	17	38	21
-湖泊	88	56	23
-事在人为	2	0	1
-组长	0	13	4
-邀请	6	42	34
-油黑	0	5	0
-淡竹	15	5	2
-寅虎	2	0	2
-海螺	88	162	156
-重排	5	56	21
-湖沼	11	3	1
-定位仪	0	1	31
-纯音	5	1	2
-肉鳍	3	0	0
-二重性	1	1	8
-射线	45	312	44
-天津站	4	9	2
-胆囊	36	12	2
-自然	1034	1786	170
-清瘦	2	2	0
-苦劳	0	0	2
-股子	2	1	1
-遗迹	29	93	201
-透风	0	0	1
-脸蛋	1	4	6
-色情	23	24	3
-重担	0	0	2
-沙特阿拉伯王国	1	3	0
-浦西	9	17	1
-执政府	0	2	1
-鉴于	2	0	0
-胸像	0	0	27
-联播	5	23	22
-新四军	120	54	4
-肇庆	228	43	9
-花头	8	9	17
-柳行镇	0	0	1
-脏话	3	1	2
-部级	17	8	2
-艳情	1	8	3
-批发商	2	6	8
-保障线	0	0	2
-湘剧院	0	0	1
-欧洲式	1	0	0
-采掘	24	9	2
-毛毛虫	28	14	21
-油鸡	5	44	58
-淤积	5	23	9
-聊斋	159	79	56
-守财	3	0	2
-职教	12	261	4
-水俣病	2	2	0
-英军	11	3	9
-演唱	3	97	8
-湖水	19	58	5
-娱乐城	1	3	21
-湍流	40	10	16
-阶级性	0	0	1
-宣言	3	35	343
-职数	0	1	1
-胡志明市	5	5	1
-泡饭	0	2	56
-绿泥石	3	0	8
-临界点	4	3	10
-范例	16	518	342
-大安乡	2	0	2
-阿波罗	135	56	17
-承包地	0	2	0
-肠子	1	3	15
-荣成市	65	8	0
-胃镜	3	4	9
-家蝇	4	0	2
-花墙	5	0	0
-领头羊	1	1	1
-统配	1	1	0
-船木	4	4	0
-老港	12	1	0
-小粉	2	6	0
-通知书	1	1	30
-山炮	0	30	8
-野战	35	45	7
-小先生	1	0	0
-学部	3	13	30
-导线	25	16	45
-小米	178	99	61
-审视	8	21	41
-脱蜡	4	3	5
-宇航员	23	12	19
-岸标	0	0	2
-传奇性	0	2	0
-翩然	1	1	1
-宫装	1	0	1
-羊粪	2	0	0
-起义军	0	1	6
-耳根	3	13	15
-客观	46	32	0
-肿块	0	1	8
-纵隔	28	10	6
-美籍	3	7	0
-尿盆	1	0	0
-阶级斗争	1	2	2
-海蜇	54	74	92
-旅行家	12	11	8
-海蜒	3	2	2
-约束力	0	4	2
-土木工程	232	325	4
-纵队	1	36	73
-透顶	2	0	0
-流质	7	2	1
-浸蚀	1	1	2
-节庆	27	41	15
-注音	18	224	4
-山火	2	11	10
-育雏	3	4	2
-岔气	0	1	2
-深知	3	1	0
-活路	3	2	2
-审计署	61	20	3
-宏论	0	0	2
-漆器	5	44	50
-纠风	2	13	0
-导纳	1	18	6
-道道	6	12	4
-逐项	1	0	0
-寒菊	0	0	1
-翻滚	28	12	4
-聪慧	15	14	11
-艺德	1	1	0
-海蛇	13	9	42
-尤伯杯	4	2	0
-红颜	132	102	0
-脉象	4	4	3
-苦力	5	1	3
-自焚	0	20	5
-里拉	6	296	56
-野战军	0	42	26
-致病	10	46	1
-航天桥	0	10	0
-经销	3	43	5
-纲领	1	20	56
-自省	1	2	7
-苦境	1	0	0
-师大	12	221	12
-市委	11	418	17
-金鸡独立	0	0	1
-脚下	7	35	15
-邮电所	0	0	2
-邮车	0	1	1
-三段论法	1	0	0
-花式	103	72	1
-滂沱	1	0	2
-苏子	76	19	4
-巷子	5	20	9
-小院	5	14	0
-胸前	2	1	0
-漏掉	0	1	0
-多层次	15	19	0
-脚丫	3	8	10
-胃壁	2	4	0
-食不甘味	0	0	2
-脱贫	0	6	1
-致畸	10	1	0
-花店	11	8	24
-缺血	11	26	17
-清莱	3	2	0
-金殿	31	14	20
-文学性	5	4	1
-巫峡	5	13	3
-肿大	1	2	18
-妙语连珠	3	2	1
-重水	14	8	1
-茶亭	17	6	4
-职权	8	13	12
-综述	1	19	49
-滇池	36	25	3
-尾部	9	8	2
-屈辱	2	7	2
-星河奖	0	1	1
-格式化	9	7	18
-主体性	13	24	8
-安全性	3	155	28
-州府	1	47	49
-耍滑	1	0	1
-装饰布	0	4	2
-英国	1908	430	69
-致癌	20	20	3
-帝国	419	603	699
-翻然	5	0	0
-苦处	0	0	1
-重洋	0	0	3
-羊绒	15	77	11
-对饮	0	1	0
-封顶	4	0	2
-寒鸦	4	15	3
-电压表	0	2	17
-渔舟	8	4	3
-艳服	1	0	1
-工巧	1	1	2
-局部	201	131	6
-一品锅	0	0	8
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-浓香	61	17	2
-苯基	62	572	2
-师妹	1	11	5
-渔船	13	45	56
-节支	0	1	0
-螺丝刀	2	1	8
-暖湿气流	0	0	1
-测验	8	317	353
-晶体管	37	27	57
-小雪	21	25	31
-希奇	3	9	57
-小雨	20	19	44
-邪道	5	3	2
-莫须有	2	0	0
-压寨夫人	0	0	1
-师姐	7	27	11
-师姑	4	3	2
-淤血	2	5	6
-溶溶	2	4	4
-邮轮	14	28	118
-赤瓜礁	1	0	0
-首发式	0	0	1
-节操	1	1	4
-肯定	42	65	4
-人同此心	2	0	0
-重油	22	5	0
-金汤	50	13	21
-材积表	1	1	4
-斯特拉斯堡	21	8	0
-交通厅	0	10	7
-良机	3	7	3
-巴山	68	27	15
-斯里兰卡	72	25	3
-茶会	2	0	16
-细雨	10	19	10
-配系	0	0	4
-尿酸	10	83	38
-纷飞	0	13	16
-金融业	21	49	0
-苍山	79	45	11
-师娘	0	0	1
-内卡钳	0	0	1
-职业道德	37	183	98
-摇摇摆摆	0	0	1
-遗骸	1	3	2
-湿疹	16	22	47
-考点	67	1226	51
-苗子	7	8	6
-胆大	10	2	3
-胶南	59	10	1
-缆车	2	8	15
-白尼罗河	0	0	1
-酒类	10	89	1
-浮雕	21	107	74
-湿病	0	1	0
-比基尼	33	17	13
-被告席	0	1	0
-胶印	19	14	6
-幕僚	4	13	19
-苍岩	3	2	1
-代表团	0	13	14
-能力	109	3268	767
-小鞋	2	1	2
-邮迷	0	1	0
-巨幅	2	2	0
-肺鱼	5	4	9
-重活	13	0	0
-胶卷	4	6	11
-能动	12	17	1
-羊羔	19	20	10
-肆意	6	2	2
-美编	1	1	0
-富龙	2	10	4
-职校	12	7	45
-工序	22	13	11
-缘起	21	20	27
-清蒸	532	62	2
-海门	128	28	6
-苕子	1	0	3
-羊群	12	2	3
-将领	0	60	20
-巫师	80	42	66
-亮晶晶	3	6	11
-联机	26	31	7
-里海	22	35	2
-带回	1	2	0
-奥斯陆	31	16	1
-加速器	5	50	179
-羊羹	0	0	33
-邮递	4	5	3
-胸卡	0	1	1
-对抗战	0	1	3
-湖笔	5	3	3
-溃疡	33	61	94
-金泰	108	131	9
-巧干	0	1	2
-花心	53	25	4
-遗骨	3	4	3
-联村	1	5	82
-自知	10	1	6
-潮头	0	3	2
-交通员	0	0	2
-酒糟	24	9	2
-膏药	13	19	78
-股市	380	373	49
-避险	10	69	9
-湖南路	6	22	1
-航炮	0	0	2
-猫头鹰	59	20	34
-无懈可击	11	0	6
-海防	21	42	3
-局里	3	3	1
-结队	0	0	1
-湘竹	2	2	0
-翻版	4	1	0
-银川市	142	7	0
-浮面	1	0	0
-混蛋	6	10	11
-重温	9	14	4
-草业	10	31	2
-苗寨	13	7	71
-草丛	3	10	1
-艺术	953	8320	2518
-小熊座	6	0	1
-少年装	1	0	0
-疏密度	0	1	0
-脉冲	235	229	44
-那里	13	20	18
-军管会	0	0	3
-滚动轴承	29	19	0
-母夜叉	3	2	0
-美美	32	31	32
-真真假假	2	0	0
-脱身	1	0	0
-纹饰	5	52	30
-输入国	0	0	1
-胜地	3	13	35
-胶合	6	5	0
-市容	4	122	0
-土地改革	5	7	5
-预备生	0	0	4
-胸口	1	3	2
-潞安	31	17	0
-消费品	9	66	16
-酒精	115	55	11
-节日	58	176	82
-山谷	59	82	0
-金浦	9	12	0
-胡须	18	9	7
-传染病	74	164	33
-能量	247	357	130
-溪涧	1	2	1
-居里	19	10	31
-羊肉	381	788	688
-自用	4	15	7
-潞城	17	3	0
-邻近	13	17	0
-妇产科	254	118	12
-聪敏	1	0	6
-渔翁	12	9	6
-航测	3	7	0
-经贸混委会	0	1	0
-抗震救灾	24	120	1
-密封圈	2	6	31
-红鱼	7	12	21
-乌兰牧骑	2	2	0
-交易额	0	0	1
-芽孢	14	83	1
-浓雾	1	3	1
-芦席	1	0	0
-枝繁叶茂	1	0	0
-统销	0	1	0
-脚踝	4	0	0
-溺死	2	0	0
-年下	4	1	0
-荧光粉	2	0	3
-船歌	0	3	12
-羔羊	24	22	48
-小额	49	164	1
-市尺	1	0	0
-从化市	40	7	0
-邯郸	362	42	14
-老牌	3	4	1
-布尔	249	363	188
-冠军杯	1	10	19
-避难	9	25	6
-满期	3	2	0
-润资	0	4	0
-结集	1	2	5
-小项	0	1	3
-老父	2	1	0
-羊肠	13	3	4
-老爷	36	34	32
-肱骨	29	0	0
-背面	8	6	19
-老爹	27	18	24
-毒副作用	0	1	0
-耐火	45	48	0
-从军记	0	5	17
-干事	0	7	4
-舌炎	0	0	3
-脚跟	1	4	6
-并且	0	4	0
-平乱	0	1	0
-苍头	9	0	2
-海外版	0	7	19
-综采	10	1	0
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-联校	0	2	24
-席地	0	3	1
-特快车	0	0	6
-线香	3	1	0
-羊脂	27	14	0
-溺水	8	8	2
-怀化市	97	10	0
-纸马	2	7	10
-绿野	81	84	5
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-重演	5	8	4
-布展	1	0	0
-学生会	19	88	197
-平仄	2	2	2
-都行	0	2	0
-禾本科	4	1	0
-醉眼	7	1	0
-干亲	0	0	2
-般涅	1	10	0
-帮困	0	2	0
-并举	0	3	4
-舅父	1	0	0
-舅爷	0	0	1
-缠足	4	6	1
-胖墩	3	4	0
-平产	0	1	0
-保健茶	3	6	23
-布局	14	198	162
-尖音	2	0	0
-市属	5	17	0
-叛国罪	0	1	0
-一叶障目	3	0	0
-屋里	6	17	2
-传入神经	2	0	0
-平价	15	21	20
-派驻	1	5	1
-滥杀	1	4	0
-年代	20	437	277
-金湖	96	62	6
-联检	2	9	3
-美育	21	45	47
-聪明	601	560	117
-耐热	43	98	2
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-节拍	4	18	20
-唐老鸭	30	12	9
-航海	176	206	32
-差异	51	116	122
-山货	6	6	0
-自由	780	966	194
-坐而论道	2	0	0
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-反间计	0	0	1
-苇子	18	2	0
-涨跌	20	9	4
-微山湖	42	5	2
-栓皮栎	3	0	2
-羚羊	47	58	47
-花市	6	20	18
-花布	4	11	21
-年会	5	106	177
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-编辑	71	344	118
-漳州	391	52	2
-邻邦	1	3	0
-巴库	22	14	7
-无绳电话机	0	0	1
-深蓝	69	52	23
-茂名	106	33	2
-花工	0	0	2
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-胖头	3	0	0
-臂章	0	0	8
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-配给	1	7	4
-分时系统	0	0	1
-焚书坑儒	0	0	1
-广东	4138	540	47
-交通图	0	29	23
-良方	3	76	149
-色散	17	19	26
-茅厕	0	1	0
-安全感	2	2	8
-航渡	0	3	1
-演戏	1	1	7
-胡闹	4	0	2
-苗头	0	0	1
-益寿延年	1	2	0
-清芬	1	1	16
-胆子	0	3	1
-宣武门	8	20	0
-差役	0	0	3
-羊膜	16	1	1
-网袋	1	0	1
-帐子	1	1	0
-范县	24	3	0
-漳平	45	13	4
-有理数	7	1	2
-计生委	2	16	14
-脑力	87	90	5
-脉压	4	1	0
-肯干	0	1	0
-神机妙算	12	10	5
-花序	1	2	14
-脸谱	19	24	49
-糯米纸	1	0	2
-溶液	23	45	288
-编选	0	3	0
-广义	151	45	37
-地霉素	0	0	1
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-缔造	23	32	1
-配置	23	438	134
-清苦	0	0	1
-避孕药	3	3	13
-缠身	2	2	24
-微粒显影	0	0	1
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-山路	13	163	24
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-广为	4	5	5
-致电	0	1	0
-仪征市	24	1	0
-希少	0	0	1
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-河北乡	0	0	1
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-股息	18	6	12
-三角洲	58	208	70
-演技	3	8	4
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-就业率	1	0	1
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-六里桥	7	26	0
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-海钓	5	4	1
-深藏	7	3	0
-编造	2	3	1
-茅台	72	51	14
-胆寒	1	1	1
-溯源	22	42	54
-羊舌	7	4	0
-背风	10	5	1
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-鄙薄	1	0	0
-打砸抢	0	1	0
-发球员	0	0	1
-清茶	6	4	26
-脸上	3	5	4
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-羞耻	2	0	3
-红麻	7	7	7
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-茬口	2	2	1
-花押	1	1	0
-罗裙	3	8	11
-溧水	21	16	0
-自立	19	44	30
-部落	73	138	245
-岩羊	10	2	4
-流露	1	1	3
-红鹳	1	0	7
-正方形	5	2	7
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-淡菜	86	52	22
-胆小	13	10	1
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-展览	37	827	74
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-红鹤	6	0	2
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-帝力	1	3	2
-辛集市	40	4	0
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-花拳	1	0	1
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-逐鹿	23	17	8
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-翻番	0	2	1
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-金桔	36	21	25
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-有余瓶	0	0	1
-圣多美和普林西比	6	0	0
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-游离	61	30	9
-刑法学	46	43	40
-天作之合	1	0	0
-脑门	3	1	0
-寝食	2	0	1
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-汉正街	10	6	4
-巍峨	1	0	0
-皇太子	15	8	2
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-自感应	1	0	0
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-尸身	1	0	0
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-市场	981	3785	2117
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-邋遢	11	2	0
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-活食	1	0	0
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-海量	20	20	6
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-脚镯	0	0	1
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-浊音	0	2	2
-英山	24	5	6
-土家族	71	193	0
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-淋巴结炎	0	0	13
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-巫婆	27	22	15
-杂花生树	1	0	0
-引人注目	0	1	0
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-渔网	10	5	8
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-羯羊	2	0	0
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-脱党	0	0	2
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-美菱	137	25	0
-罩衫	0	0	2
-罪行	4	15	15
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-腋下	5	1	0
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-罩衣	0	0	1
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-同步网	1	1	6
-封闭	92	107	20
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-腻虫	0	0	1
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-群舞	0	0	1
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-猴头菇	99	25	71
-绿肥作物	0	3	0
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-金橘	47	20	8
-脱出	0	8	19
-猴头菌	5	1	7
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-小锣	1	0	0
-舞狮	2	4	16
-海轮	0	5	1
-青少年	871	1181	16
-背带	5	8	6
-邪路	1	0	0
-苟安	1	0	2
-射阳	55	14	1
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-潮剧	3	4	2
-腭裂	4	18	4
-脱逃	2	5	12
-已婚	7	7	0
-解放区	6	5	1
-群臣	3	11	2
-消费	305	595	168
-淡色	30	8	1
-源流	3	108	85
-传染源	0	1	1
-将门	7	3	1
-艺校	3	2	70
-顺丁橡胶	1	1	1
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-苏州	4203	999	36
-荐举	1	0	1
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-纸鹤	3	5	7
-尊长	0	0	2
-茅坑	0	1	0
-连续流	3	3	0
-节本	2	8	1
-羽纱	0	2	2
-仫佬族	6	13	1
-预处理	8	31	24
-对面	29	20	10
-浇铸	6	1	3
-调查组	0	2	6
-小钱	14	13	1
-质检员	1	3	2
-股指	123	71	3
-言而无信	1	0	0
-巡展	0	5	11
-胡子	63	80	44
-一窝蜂	4	0	1
-爱卫会	0	4	0
-英姿	4	5	25
-龙争虎斗	3	1	13
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-翻砂	6	1	1
-尾追	0	1	0
-淡茶	0	0	1
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-小镇	71	115	364
-苦学	0	0	14
-河北区	17	14	1
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-济钢	19	5	2
-耐用	8	9	0
-翠竹	34	19	8
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-胶鞋	5	5	6
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-尿道	47	41	4
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-明细表	0	0	1
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-耗用	0	2	0
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-巫山	93	20	10
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-尼那	4	4	1
-耗电	0	1	2
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-能够	1	23	2
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-实心球	0	0	1
-牙买加	79	10	1
-酒窝	7	3	10
-开发权	1	2	1
-遮阳	17	75	7
-岔河镇	0	3	3
-酒窖	6	7	0
-群英	36	150	70
-醒狮	8	6	9
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-电压计	0	1	0
-传输率	0	2	8
-羽翼	25	17	26
-线麻	2	1	2
-有所为	3	1	1
-流水不腐	4	0	1
-尖锐	12	27	0
-海逸	31	88	3
-拉塔基亚	2	1	0
-实习生	2	8	12
-羽翅	0	2	0
-浅陋	0	0	1
-拒人千里	1	0	0
-背弃	2	0	0
-庇护所	2	7	11
-湖畔	44	68	54
-消费国	0	1	1
-遭难	0	1	0
-重氢	1	0	2
-耕田	6	8	13
-花托	0	0	1
-派生词	1	0	2
-无所畏惧	4	0	1
-舌癌	0	1	0
-一见倾心	1	0	1
-里氏	22	20	2
-海通	22	60	1
-群芳	15	21	19
-氧分子	1	1	1
-左岸	64	31	40
-布头	3	4	3
-活靶	0	1	0
-腐败	38	164	37
-灌溉渠	1	0	0
-潍坊	814	99	8
-采油	31	40	13
-企业经营者	2	6	0
-浸透	2	2	1
-胎座	1	1	6
-封面	26	23	6
-图书馆	173	535	2063
-摄影家	3	144	5
-净产值	0	0	3
-花束	8	17	39
-射速	0	0	4
-荧光	194	207	18
-舱盖	4	0	7
-茶场	1	7	39
-花生饼	1	2	7
-酒菜	1	2	2
-黑糊糊	1	0	0
-脊骨	18	79	32
-茶坊	5	6	20
-胸鳍	0	2	0
-滴漏	3	7	0
-清谈	3	4	7
-吴桥县	5	1	0
-岂能	1	1	0
-加速度	16	41	28
-漂浮	51	37	5
-安全壳	9	0	2
-少男少女	13	11	4
-临时性	9	3	0
-节流	14	10	0
-网路	28	27	12
-亚龙湾	53	45	5
-大中小学	0	3	0
-山里娃	2	0	1
-变色龙	39	8	41
-重用	1	15	2
-荒原	22	19	13
-文学梦	1	0	0
-肉样	0	1	0
-花期	6	5	7
-帝位	1	4	0
-英雄好汉	0	0	2
-市办	1	0	0
-石鼓文	14	7	7
-脱发	10	13	57
-白雪公主	44	15	55
-醋精	0	0	2
-肉桂	127	218	17
-荣军	4	30	23
-巷口	5	7	2
-花木	48	202	40
-湖色	1	5	0
-股数	0	1	4
-涵闸	1	2	0
-尉迟	57	14	3
-希冀	2	2	0
-技术装备	1	123	0
-礼品店	0	3	14
-漏气	1	2	1
-计划处	0	0	2
-花朵	33	28	54
-伊尔库茨克	9	1	0
-山草	2	23	2
-小循环	0	0	2
-动眼神经	2	1	0
-山茶	38	113	133
-淘金	131	153	30
-太子参	33	19	2
-感应炉	5	0	3
-混账	0	0	1
-釉瓷	1	42	16
-漂泊	56	22	7
-涪陵	82	42	1
-荣光	28	34	62
-海鲜	460	620	114
-酥脆	45	13	3
-采用	9	23	1
-酒药	6	3	6
-陈列馆	0	4	238
-芦根	20	38	3
-肉松	111	160	43
-苦恼	3	0	7
-工商	257	1429	8
-容颜	5	11	21
-脆骨	8	9	45
-山芋	21	16	13
-师兄	4	11	9
-背影	12	25	56
-雀巢咖啡	2	0	0
-日臻完善	1	0	0
-胆怯	2	2	3
-毛泽东	517	231	78
-肉果	6	6	3
-茶园	36	22	41
-肋条	1	6	13
-节油	7	22	2
-羽联	0	3	1
-疯牛病	3	0	0
-掷地有声	0	1	0
-山色	11	22	12
-自缢	1	3	1
-自然光	2	5	1
-婚外恋	2	0	2
-巨商	2	10	3
-茅山	82	19	7
-佝偻病	3	0	12
-海鳗	9	6	20
-币制	2	1	5
-芦柴	6	5	0
-寒门	5	3	3
-编钟	5	7	42
-诺贝尔	106	101	28
-山和尚	0	2	3
-船田	1	0	0
-匈牙利	189	30	5
-巴县	5	19	17
-坐标轴	0	1	0
-邵阳	110	37	2
-悄悄话	1	8	34
-漂洗	1	3	1
-录相机	0	0	1
-天下无双	6	1	8
-富集	4	34	9
-金珠	32	13	12
-牛排馆	0	0	2
-法罗群岛	11	0	0
-胰子	0	3	4
-自给	7	4	0
-市制	0	5	1
-绝缘纸	0	1	13
-背心	5	12	37
-清话	0	4	10
-自绝	0	1	0
-脖颈	0	1	1
-漂流	58	104	194
-英式	65	8	0
-师公	5	11	2
-山花	20	36	0
-淡酒	1	1	0
-卫星城	0	3	0
-宾馆	30	1002	6050
-罪证	5	11	3
-鬼主意	0	0	1
-中国海	59	10	0
-肥料	36	134	77
-版权法	3	3	7
-门市部	0	2	3
-布匹	2	10	0
-自然力	2	2	0
-腾越	11	8	6
-海鸥	41	41	39
-海鸟	3	3	3
-海鸠	5	1	1
-寒露	7	1	2
-滋生	3	3	1
-荒唐	28	13	4
-金疮	7	1	0
-苦战	2	2	0
-翎翅	1	0	0
-药典	2	18	0
-药具	0	4	0
-部里	0	2	0
-河西走廊	10	3	1
-胰岛	16	9	1
-实习期	0	1	1
-漓江	40	38	5
-就诊	2	12	0
-列车员	0	2	2
-国庆节	1	6	5
-脑髓	6	4	9
-江山市	51	6	0
-日产量	0	0	1
-币原	3	0	0
-耳环	5	22	35
-清费	10	0	0
-重症	41	68	12
-重病	0	2	0
-滴灌	25	32	13
-导向管	0	3	0
-地面砖	2	0	1
-茶堂	1	0	0
-清贫	5	2	1
-编队	2	4	14
-布厂	1	5	5
-高尔夫球	30	166	14
-自然灾害	39	84	10
-荫凉	0	0	2
-民族性	2	8	4
-项目区	0	0	1
-吸引力	16	22	15
-就读	1	11	0
-封里	1	0	0
-工地	27	46	5
-工场	1	41	93
-红松洼	1	6	0
-市县	5	7	6
-花样	172	206	35
-漏洞	12	46	71
-普兰店	15	1	0
-夜不闭户	0	0	1
-计划委	1	0	0
-郁闷	10	5	7
-自考	44	141	45
-群落	37	39	153
-脱险	1	8	16
-慢镜头	1	0	0
-千头万绪	1	0	1
-山药	932	676	287
-声名狼藉	1	1	0
-布势	0	0	2
-巡回	17	178	0
-寺里	2	0	0
-漏水	11	6	2
-莅临	2	0	1
-三角板	0	0	3
-牵强附会	1	0	0
-金田	96	53	15
-冷飕飕	1	0	0
-花柱	5	7	2
-蠕形动物	1	0	0
-一举两得	1	0	0
-小车	38	36	36
-左撇子	8	3	3
-科摩罗	30	2	0
-野生	218	569	4
-花枪	1	3	3
-树皮画	0	0	1
-高粱米	3	2	1
-三中全会	0	11	11
-肥效	1	0	0
-自决权	1	0	4
-小辈	0	0	1
-旱烟管	0	0	1
-花枝	39	51	55
-反垄断法	31	21	5
-人工免疫	5	2	0
-重申	4	10	1
-释疑	3	28	60
-花果	26	48	12
-背悔	0	0	1
-乡党委	0	2	0
-脊髓	109	73	14
-永胜县	15	0	0
-酱肉	47	73	39
-代表会	0	1	0
-花柄	1	1	0
-金瓯	15	18	6
-小辫	0	0	1
-三角枫	2	0	3
-花架	2	2	3
-悬浮剂	0	0	5
-市区	7	131	27
-山菊	8	3	1
-理事长	0	0	3
-柳林县	15	1	2
-三角架	0	1	0
-杨柳池	1	2	0
-感应电流	1	0	0
-吸血鬼	271	73	96
-妙趣横生	14	15	0
-阿达纳	4	0	0
-装饰品	1	10	6
-兵荒马乱	1	0	0
-股本	20	6	11
-海魂	3	5	5
-布告	3	3	10
-乘务员	0	8	12
-巨型	170	47	0
-代表作	0	65	59
-帮会	10	12	6
-老窖	1	31	0
-节欲	1	2	0
-宜黄	34	6	0
-茄子	310	258	820
-澡堂	3	7	11
-软体动物	3	2	3
-色泽	2	0	2
-天下大乱	0	0	1
-长沙县	75	5	0
-草包	5	5	1
-胜利路	4	21	0
-团省委	0	1	0
-土尔其	2	0	0
-睫状体	2	7	0
-北洋军阀	5	3	1
-药丸	9	11	32
-退而结网	0	0	2
-罪责	4	0	1
-屋角	1	2	0
-胸骨	14	3	1
-荒凉	13	6	2
-芽接	0	0	2
-药业	1	2006	132
-农技员	0	4	0
-股权	145	278	24
-席位	4	3	7
-耐磨	119	310	0
-自顶向下	4	8	0
-澡塘	9	3	0
-摄影师	16	95	26
-开发局	0	9	21
-师友	10	28	8
-荒冢	0	0	1
-考究	0	0	2
-游荡	10	10	7
-涂饰	2	9	1
-变化无常	0	0	1
-满满	3	6	5
-巩固	7	39	9
-潮州	289	94	10
-宝鸡	296	43	11
-小道	5	8	20
-渺茫	0	0	3
-苫布	0	5	1
-朝三暮四	0	0	1
-胞弟	0	0	1
-脑壳	0	5	15
-苦干	3	1	0
-中准价	0	0	1
-保健箱	0	0	1
-尖轨	0	0	1
-置评	0	0	1
-罐车	1	10	23
-帅印	0	0	1
-传声器	12	1	11
-招标制	0	0	1
-重百	1	2	0
-激发	74	177	43
-崩溃	20	34	44
-滨湖	67	72	2
-空心砖	6	11	7
-芜杂	0	0	1
-补给站	0	2	1
-腌制	14	6	1
-深谷	19	7	0
-中国人民银行	110	20	0
-核废料	1	0	0
-深谙	1	0	0
-缩略语	0	47	3
-约定俗成	0	1	0
-臂膊	0	0	1
-脚门	0	2	0
-草刺	0	1	0
-鉴戒	0	2	2
-清规	0	1	11
-巴士底狱	2	1	1
-翅膀	9	66	139
-消食	34	54	2
-胡麻	32	41	7
-黄刺玫	0	0	1
-苦思	1	0	3
-摩纳哥	33	3	5
-节水	83	211	6
-属地化	1	1	1
-脱销	0	0	2
-州委	0	7	0
-胶州	64	16	1
-屁话	1	1	0
-茅屋	6	12	7
-邪魔	27	3	7
-帝制	8	8	5
-群蛇	2	0	0
-常人	4	2	2
-节气	14	76	20
-巴国	45	2	0
-草叶	9	20	5
-羊角	100	67	10
-小野	116	26	4
-南柯梦	0	1	0
-团县委	0	1	0
-工大	22	203	14
-兔死狐悲	1	0	0
-工夫	6	36	19
-傻瓜相机	1	0	1
-质因数	2	0	1
-胶带	59	93	218
-美观	4	3	0
-当权派	0	1	0
-工头	2	3	3
-海鱼	6	9	33
-都都	6	5	4
-带入	0	2	0
-腕力	2	0	0
-主教堂	0	1	8
-常任	7	8	0
-脱钩	1	4	2
-脱困	0	4	4
-苦心	8	2	2
-濒危	28	83	0
-听神经	5	0	0
-巅峰	140	217	74
-娑罗双树	0	1	0
-费口舌	0	0	1
-赛克勒	2	3	1
-肉欲	1	2	0
-胶布	3	2	12
-师范学校	0	50	238
-艰深	1	0	0
-豆芽菜	6	12	17
-腐化	8	2	1
-外专局	0	1	0
-师哥	0	0	1
-数量级	0	0	1
-草原	324	426	318
-大米饭	2	0	5
-富饶	16	12	1
-酸臭	1	0	0
-峨眉	239	29	8
-苏打	22	66	4
-寒风	11	5	4
-一览表	0	1	8
-登峰造极	3	2	1
-药价	1	0	0
-花旦	4	1	8
-苦役	1	0	1
-宝鸡市	175	8	0
-川奈	1	7	0
-翠绿	47	9	11
-缝隙	12	15	5
-尊重	22	25	3
-胡思乱想	2	0	0
-花旗	140	44	1
-业务精	0	2	0
-金盾	37	68	10
-地面站	1	1	7
-找出路	0	0	1
-中长距离	1	0	0
-小燕子	8	4	2
-芥末	204	76	8
-摄影展	0	4	6
-酱色	7	4	0
-脚夫	1	0	0
-采矿	70	129	15
-滚热	1	1	0
-滚烫	2	1	0
-墨西哥合众国	1	1	0
-花斑	53	17	1
-采石	18	23	3
-痛快淋漓	1	0	0
-茂密	1	1	0
-常事	0	0	1
-交易量	0	3	2
-刚直不阿	0	1	0
-耳生	0	1	0
-学龄	10	14	7
-滨河	52	78	2
-节烈	1	3	3
-重点	129	2843	32
-川北	46	13	1
-重炮	5	8	5
-腹部	79	55	2
-市井	23	10	0
-锦心绣口	1	0	0
-点点滴滴	4	0	3
-肉汁	12	12	5
-工分	2	5	0
-自荐	6	2	1
-激动	16	16	4
-遗鸥	0	3	0
-释然	3	1	1
-核爆炸	6	2	5
-家门	9	83	8
-航管	2	4	0
-鄂西	54	17	1
-置身	1	1	0
-崇洋	1	0	0
-激励	122	361	109
-肉汤	16	28	859
-脖子	4	29	34
-滦河	21	6	0
-观象台	0	2	9
-色狼	1	9	9
-滔滔	9	4	11
-宇航服	0	0	1
-家长	72	222	37
-眼睫毛	0	1	0
-驻马店	114	15	3
-容错	15	13	7
-药味	1	0	0
-奶制品	1	4	0
-马马虎虎	1	0	0
-脑室	11	10	5
-万寿寺	8	2	8
-老粗	3	0	0
-助人为乐	1	0	0
-溺爱	8	4	3
-美誉	5	6	2
-酪素	2	0	2
-配股	17	6	11
-工农	39	38	2
-福音书	3	3	5
-布丁	135	183	341
-腾达	43	94	9
-酥糖	2	5	56
-脑子	7	18	6
-荒地	9	16	8
-耕种	2	2	0
-也门共和国	1	4	1
-定额	60	154	144
-对质	1	2	0
-结肠炎	5	12	24
-耐穿	0	1	0
-郁郁	8	1	4
-酒缸	0	1	5
-腊味	120	89	27
-皇太后	2	14	21
-迷走神经	8	4	0
-避风	41	11	0
-宝顶	7	4	6
-大字报	0	1	2
-满洲	42	29	16
-药叉	2	7	0
-苏木	38	34	193
-聚光灯	5	0	6
-滤波	9	35	44
-岩石	202	211	43
-孤苦伶仃	0	1	0
-涉险	0	1	0
-工党	0	6	2
-聚焦	155	114	76
-安全岛	0	0	6
-荒坡	1	1	0
-船票	0	3	4
-地表水	26	9	0
-新陈代谢	2	6	5
-翡翠	624	401	179
-苍松	8	1	9
-野火	16	158	9
-浅黄	15	5	0
-脸颊	1	1	4
-山茱萸	17	4	6
-差值	5	2	8
-工具	83	1323	986
-工兵	5	7	6
-荷包	73	57	26
-景阳岗	3	1	0
-海风	21	35	13
-邻里	28	29	11
-花容玉貌	0	1	0
-美言	5	4	0
-川剧	8	9	0
-采煤	10	58	8
-总预算	1	5	0
-野炊	1	3	0
-节点	29	55	71
-家雀	0	2	1
-浓黑	1	4	0
-师从	3	0	0
-农技协	0	1	0
-鸭舌帽	0	0	1
-苦旅	1	7	14
-小说	237	2201	749
-海马	120	70	32
-生长率	0	0	5
-荻原	15	0	0
-工匠	5	15	13
-土地权属	7	10	0
-滴水	87	38	12
-小调	11	94	0
-废弃物	15	81	15
-深证	17	4	0
-敬老院	1	4	52
-市侩	2	0	0
-湖羊	2	0	0
-差别	35	53	27
-同类项	0	0	1
-保障金	0	11	5
-肃清	1	1	4
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-潜心	6	4	0
-酱紫	3	5	2
-寻踪	7	52	60
-茅房	1	0	1
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-邯钢	4	4	0
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-莫不	1	2	0
-都江堰	123	29	7
-滨海	203	436	5
-斯堪的纳维亚	12	3	1
-工勤	7	7	0
-小词	0	164	0
-湘绣	9	19	5
-花池	3	38	15
-摩托罗拉	895	8	0
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-罚金	4	1	3
-耗竭	0	7	4
-芦淞	4	3	0
-茶山	47	50	26
-小试	1	3	1
-川口	25	17	1
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-工力	2	3	2
-游艺	13	32	7
-滚滚	17	33	23
-铁石心肠	1	0	0
-满清	29	3	5
-滨洲	6	0	1
-格格不入	1	0	0
-滤液	1	11	3
-郁金	23	19	8
-羚角	6	2	4
-遐龄	0	2	16
-芜湖	765	131	2
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-苗木	25	294	32
-无意识	10	5	7
-药品	276	651	38
-茶客	3	6	3
-茶室	3	4	9
-苗期	0	10	1
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-消音	8	6	1
-金顶寺	0	0	2
-敦煌市	7	0	1
-耳目	13	4	15
-荷叶	303	271	29
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-对路	1	1	0
-游船	3	4	51
-游艇	28	145	39
-运输网	0	1	6
-舷窗	2	0	1
-舒缓	5	66	0
-布什	47	76	53
-自营	17	11	2
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-麻黄碱	3	28	14
-德宏州	13	5	0
-湖绉	0	1	0
-苦斗	1	0	0
-维多利亚	224	102	25
-丁字街	1	0	0
-保健站	0	0	1
-苗条	9	5	3
-市价	12	7	13
-翩翩	19	16	15
-山羊	63	90	100
-山茶花	7	4	7
-育林	8	4	19
-老练	4	0	1
-红外线	116	55	2
-小贩	4	5	4
-脆弱	26	26	6
-导轮	1	5	9
-渊薮	0	0	2
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-小账	0	0	1
-药剂	13	34	42
-濒于	1	0	0
-导轨	20	34	30
-消长	1	3	6
-北平市	4	0	2
-表里如一	0	0	1
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-寨里	10	4	0
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-富锦	20	13	3
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-驾驶台	0	1	0
-石龙子	3	0	26
-重犯	0	1	2
-溶点	0	0	1
-山脚	8	35	1
-屏蔽	59	123	27
-金牌	469	335	27
-国民收入	16	8	5
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-刑法典	0	5	0
-格林纳达	7	2	0
-愚人节	13	2	14
-山脊	12	6	7
-山脉	7	42	491
-濒临	8	9	0
-背时	1	0	0
-脊髓炎	1	8	21
-打天下	0	7	7
-巫医	0	3	6
-实验	300	8583	1439
-白毛女	0	3	3
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-草圣	0	4	0
-那霸	3	4	0
-脚骨	1	4	2
-配色	39	204	40
-耿直	1	0	1
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-酱油瓶	0	0	1
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-漏斗	36	31	36
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-尊贵	7	17	6
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-宝马	185	62	19
-屠苏	5	4	3
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-胎教	105	190	33
-嶙峋	0	0	4
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-花梗	1	5	8
-特拉维夫	19	1	0
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-工厂	151	234	374
-老人星	1	0	0
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-胡兰镇	0	0	1
-巨匠	16	65	16
-直肠子	3	0	0
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-美谈	0	1	1
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-渡船	6	14	8
-小豆	66	65	0
-郊野	3	80	1
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-苦尽甘来	2	0	0
-荣升	3	5	6
-巢县	4	0	2
-酵素	30	71	69
-监狱法	1	0	1
-巧匠	1	2	2
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-演播	0	5	1
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-巨响	0	1	2
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-富阳	83	39	0
-老翁	6	3	6
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-翠菊	3	1	8
-外乡人	0	0	1
-菊花茶	3	2	41
-酒花	2	5	2
-乳浊液	1	0	0
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-聘用	4	21	7
-市内	7	4	0
-密集	42	57	5
-小路	22	48	32
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-漆树	21	7	9
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-重现	32	23	32
-寂静	113	17	20
-审美化	1	4	3
-处变不惊	1	0	0
-删繁就简	3	0	0
-金环	17	23	14
-帛书	21	17	9
-药厂	8	13	18
-交界面	0	2	1
-布光	0	13	6
-广播体操	2	11	21
-小跑	1	0	0
-玉蜀黍	10	1	1
-消防	315	919	39
-伊宁市	16	1	2
-热带雨林	26	43	19
-航站	3	1	9
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-酱缸	4	0	1
-丢三忘四	0	1	0
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-药罐子	0	0	1
-苏哈托	0	1	0
-草堆	1	7	2
-苗族	131	562	2
-草堂	39	178	77
-药单	0	1	1
-苛政	2	0	0
-激光	695	1082	89
-鄙视	5	1	1
-配药	2	0	0
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-对外开放	17	25	5
-金狮	52	27	12
-贫困县	2	4	1
-就要	14	26	0
-脸面	0	8	2
-臭腺	1	0	0
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-山洪暴发	0	0	1
-翻翻	8	274	2
-航程	2	13	18
-师傅	9	52	40
-消闲	1	6	0
-绿豆蝇	0	0	1
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-野猫	17	10	12
-郑重	7	5	1
-野猪	68	53	26
-茧子	0	0	3
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-考绩	3	0	1
-百事通	7	43	109
-草地	173	114	73
-投笔从戎	1	1	3
-英才	76	435	54
-鼻烟壶	6	5	103
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-草垛	2	0	4
-酒色	2	1	2
-腹内	5	3	0
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-首相府	0	0	1
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-占有权	1	0	2
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-尺蠖	5	1	35
-考级	2	448	24
-草坪	98	114	26
-寒热	15	6	3
-红润	2	4	1
-后遗症	0	6	47
-联盟	50	702	1986
-文字狱	0	3	3
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-小楷	9	50	11
-就教	2	0	0
-纵步	0	1	0
-肠液	0	2	1
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-胜景	15	13	23
-贸易型	2	1	0
-阿比让	2	0	0
-罗城	46	17	13
-源自	0	24	0
-脸子	0	1	4
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-缺字	1	4	0
-脸孔	3	1	2
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-肤浅	1	0	0
-渡轮	0	8	9
-两栖舰	0	0	2
-纯水	20	159	6
-漫漫	29	30	18
-山巅	2	2	3
-缓急	4	2	3
-安科	13	70	14
-蔡家坡	8	3	0
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-可能性	2	22	16
-美元	44	44	17
-生啤酒	0	0	3
-绩效	192	841	123
-绑架	48	79	19
-纯毛	0	1	0
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-红海	69	28	10
-推荐信	0	0	5
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-膂力	1	0	0
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-结果	37	157	61
-武侠小说	0	9	4
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-同温层	6	11	1
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-开发区	27	894	1497
-绝望	65	36	11
-翻船	0	6	3
-耸立	0	0	1
-安稳	5	6	6
-蒲城县	23	1	0
-结案	2	3	0
-百货店	3	6	18
-宝石	380	305	239
-结构力学	44	15	29
-湖西	28	18	1
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-罐头	48	46	121
-群众	39	216	5
-考古学家	3	3	6
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-淡青	4	1	0
-天津市	2206	61	0
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-属性	23	61	98
-五子棋	31	12	47
-融会贯通	3	0	14
-高检院	1	0	0
-传输网	0	1	7
-东北亚	57	84	4
-哺乳动物	12	28	17
-脚心	2	0	0
-屈指	4	2	0
-深长	1	2	3
-寻求	34	35	4
-春暖花开	2	5	17
-线电压	0	0	1
-渡边	127	3	1
-豺狼当道	2	0	0
-美达	9	82	7
-圆形动物	1	0	0
-字纸	3	3	2
-山岗	7	14	5
-老两口	1	1	0
-山岭	14	31	16
-尚未	3	11	0
-膝下	1	1	1
-首里城	1	0	0
-游记	4	128	292
-满眼	2	4	0
-履带	36	223	6
-山岳	25	7	0
-漫游	82	338	78
-采编	3	40	6
-老者	7	2	5
-翻胃	1	0	0
-对歌	1	0	0
-展性	0	6	0
-水利学	2	8	1
-航天站	0	0	3
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-纵横	168	259	218
-缄默	10	4	3
-小样	3	3	0
-料事如神	0	0	1
-编年	2	82	33
-满盘	2	1	0
-起重机	64	116	104
-屏息	3	0	2
-小辫子	2	2	3
-缩小	13	33	7
-武穴市	34	3	0
-定位球	4	2	1
-结晶	74	112	53
-传输线	4	3	2
-网址	24	222	25
-谋杀案	1	7	146
-漠漠	2	5	2
-漆片	0	0	2
-专员公署	0	0	14
-三叠系	0	3	1
-缩尺	1	0	1
-维护	29	894	562
-肥沃	3	7	0
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-清醒	11	11	4
-起床号	0	0	1
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-少校	5	10	12
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-重组	126	178	115
-署名	3	2	1
-山崖	4	8	5
-翻脸	4	1	1
-酒趣	1	0	2
-五笔字	10	4	0
-大容山	2	0	0
-渗透	100	349	23
-罗锅	19	16	8
-家珍	1	9	28
-山崩	12	6	4
-托克逊县	3	0	0
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-寻死	0	1	2
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-量级	0	1	5
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-耶稣	79	73	20
-结束	15	33	35
-约法	6	8	18
-耳穴	21	15	5
-缺额	1	0	0
-对比	59	132	71
-灵石县	6	0	1
-主教练	0	0	2
-纯正	11	21	6
-罗圈	12	1	0
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-山峦	0	1	0
-山峡	4	13	11
-医科院	3	2	4
-澳州	2	3	0
-山峰	8	16	19
-丹江口市	13	3	0
-漫湾	7	1	0
-联益	2	19	0
-游说	2	3	2
-尔格	0	423	61
-小棚	1	0	0
-首映式	0	0	1
-能手	1	9	47
-山崎	68	3	2
-缴存	2	8	4
-翻腾	3	6	1
-职称	81	210	20
-终末	18	8	1
-罗嗦	1	0	1
-小枣	11	7	14
-脱帽	5	2	0
-代市长	0	0	1
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-小林	181	12	78
-迷魂汤	0	0	1
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-小心眼	2	1	0
-灰姑娘	80	18	90
-织机	3	20	28
-实用	3282	7795	15
-展开	10	64	42
-鞠躬尽瘁	3	1	0
-家父	0	3	0
-胡柚	0	2	3
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-级次	1	2	5
-肺泡	21	14	0
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-联社	1	30	159
-易熔合金	0	1	0
-缨子	0	0	7
-肝火	13	3	0
-智圆行方	1	1	0
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-小村	27	8	0
-博大精深	1	1	0
-瀛台	5	3	6
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-清徐县	14	3	0
-网页	398	707	25
-野战炮	2	0	8
-老茧	1	0	0
-皇姑屯	4	2	0
-堪萨斯州	1	1	0
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-万吨级	0	2	0
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-大小便	1	4	2
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-部首	2	43	13
-罪名	4	48	8
-纱橱	0	1	1
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-紫砂壶	21	15	36
-小树	19	12	0
-晴雨伞	0	1	0
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-实症	0	0	1
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-岷县	43	2	0
-无限期	4	0	0
-金石学	1	4	1
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-腰围	2	0	2
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-记事本	6	14	43
-开发商	1	8	5
-胡桃	91	50	30
-羊倌	1	0	0
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-肝炎	41	136	98
-肠炎	9	13	44
-家犬	3	6	3
-寂然	5	0	2
-横栏镇	0	11	0
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-志士仁人	0	1	0
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-纤毛	22	13	4
-鸦片战争	12	24	7
-乐此不疲	3	2	0
-滚筒	70	80	38
-七窍生烟	0	0	2
-先锋岗	0	0	1
-山寨	111	81	61
-采纳	5	12	0
-肉猪	2	13	1
-尘暴	0	1	7
-限制性	56	9	6
-岸区	0	16	1
-一生一世	11	4	4
-缅怀	6	4	1
-言情小说	2	23	7
-水利局	0	4	209
-羞辱	2	0	0
-收割机	2	18	32
-肥西县	49	3	1
-分系统	0	1	2
-线材	15	66	10
-谈古论今	6	2	2
-悬梁刺股	0	0	1
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-探雷器	0	0	1
-继承	44	107	75
-小暑	2	0	0
-混世魔王	1	1	2
-美丽	1114	922	303
-安盟	2	3	0
-大将军	13	31	0
-岭南	335	206	13
-淫雨	1	0	1
-中小学校	6	56	10
-富源	40	53	11
-相对人	0	2	4
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-性骚扰	2	4	4
-美丑	3	3	1
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-经改	0	2	0
-羊道	4	1	2
-尽情	6	6	1
-陨石雨	1	0	3
-金簪	3	0	7
-屡屡	1	0	0
-心肝宝贝	0	0	2
-寿桃	12	14	21
-牡丹亭	19	3	12
-渠道	127	118	83
-安全灯	0	1	0
-就手	0	2	0
-深闺	5	2	1
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-湘西	222	67	26
-动脉硬化	10	15	15
-群起	4	0	0
-光谱分析	4	16	17
-青山绿水	8	4	3
-漠然	1	1	1
-少时	2	3	3
-游资	9	4	1
-胜果	1	1	1
-将来	7	10	0
-居心	2	1	0
-嘉手纳	3	1	0
-淮阴	84	31	5
-淮阳	97	24	1
-主会场	0	2	1
-湿漉漉	2	0	0
-商城县	20	1	1
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-雅宝路	1	0	0
-必先利其器	0	0	3
-小册子	0	0	1
-胡来	10	0	3
-胡杨	27	16	8
-佛光寺	4	3	7
-安睡	9	8	2
-耕耘	14	19	17
-胚根	2	0	0
-岳北	6	2	0
-小曲	9	13	0
-屯子	2	6	1
-缎带	16	7	6
-无可奈何	2	1	0
-膏剂	1	3	20
-乱弹琴	0	0	2
-夏常服	0	0	1
-飞短流长	1	0	0
-家燕	9	3	0
-纠正	14	29	23
-连城诀	1	0	3
-将校	0	1	4
-繁盛	2	9	3
-西药店	0	0	1
-美事	0	1	1
-双管齐下	1	0	1
-法学院	1	67	229
-肉牛	67	56	11
-广告主	3	10	1
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-类义词	1	0	0
-组曲	2	8	50
-安眠	18	10	3
-线板	3	0	10
-贱骨头	0	1	1
-品学兼优	0	1	0
-非饱和	11	6	0
-潇洒	37	12	14
-沉甸甸	2	0	0
-经文	5	15	17
-肉片	156	282	561
-审理	5	154	12
-老花	2	1	0
-广告业	2	8	1
-全国性	6	3	0
-花生酱	58	35	13
-特惠关税	1	0	0
-圣马可	18	4	0
-漫灌	0	1	0
-线条	38	23	25
-孩童	9	2	6
-受难者	0	2	0
-海龙	73	166	116
-胃液	3	2	0
-表演艺术家	0	2	2
-市南区	7	16	1
-海龟	44	28	33
-红煤	1	0	0
-啤酒馆	3	1	6
-以小见大	1	1	0
-肥煤	0	0	1
-网屏	4	1	4
-游行	1	29	44
-深部	32	30	0
-寿木	0	0	1
-游街	0	1	2
-小改	0	2	1
-大洋洲	34	25	12
-量筒	0	0	4
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-任劳任怨	1	0	0
-缠手	0	1	0
-贝鲁特	10	4	4
-寿材	0	0	1
-岗哨	3	2	7
-罗定	62	15	3
-无愧于	1	0	0
-尽心	6	7	4
-不言不语	1	1	0
-编排	16	43	16
-细流	2	4	4
-缉私艇	0	0	2
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-学科	74	884	44
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-屠宰	12	63	3
-湖蓝	0	6	1
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-封杀	6	4	3
-胎气	4	0	1
-去污剂	0	0	1
-小数	12	2	3
-子粒	0	0	1
-尽忠	3	4	7
-绒毯	0	0	4
-尽快	1	2	0
-脸形	1	11	2
-文学界	1	0	0
-阿迪达斯	11	0	1
-触发器	1	3	25
-激奋	1	0	0
-寻根	28	27	16
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-中革军委	2	0	0
-影响力	27	146	0
-宝玉	59	56	78
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-导标	0	0	1
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-城陵矶	6	2	0
-漠河	35	1	0
-封条	0	3	4
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-金箔	31	38	11
-小旦	0	0	2
-寒流	1	0	20
-张店区	37	7	1
-罗马	495	545	71
-定理	2	87	819
-缺德	2	2	1
-学究	2	1	5
-实现	39	320	339
-江岸区	5	31	1
-小时	14	429	199
-纱灯	0	1	8
-不尽人意	0	0	1
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-红牌	11	6	0
-小春	11	6	0
-湛蓝	14	6	3
-脚掌	1	1	2
-深重	0	1	5
-罗山	53	48	21
-宝珠	33	32	54
-孬种	0	0	1
-孤立	38	7	7
-屏幕	74	77	56
-呼伦贝尔	119	32	1
-网子	3	1	2
-山塘	16	23	6
-寿星	32	52	13
-开原市	12	1	0
-毛骨悚然	8	0	0
-胡椒	161	286	85
-部际	0	13	0
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-死刑犯	7	4	1
-红火	18	7	1
-深远	5	11	2
-安然处之	0	0	1
-老营	13	3	1
-小摊	0	0	7
-美发	53	413	14
-罐子	10	14	12
-宫灯	8	7	23
-美名	5	7	2
-下吴村	0	0	1
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-关联度	0	2	4
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-缺席	4	3	3
-漕河	9	2	1
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-琥珀酸	32	30	13
-脸庞	0	1	3
-纰漏	1	0	0
-超范围	2	0	0
-夫子庙	12	63	4
-量程	5	15	2
-山墙	0	21	2
-寒毛	1	1	0
-金秋	46	46	28
-滚珠	23	22	7
-胆气	2	0	0
-部门	47	414	54
-美金	5	14	0
-深造	2	1	1
-醇芳	0	0	1
-红烛	12	1	0
-胆汁	24	28	6
-部队	38	246	354
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-配角	2	13	14
-救火车	0	0	2
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-一贯制	1	45	2
-脉搏	10	9	7
-腹地	2	24	9
-聚积	1	2	0
-实物	71	68	11
-细沙	21	1	3
-鹤庆县	4	3	0
-寒气	4	2	1
-缀文	1	0	0
-润饰	0	2	0
-胎毒	6	2	0
-领头雁	1	0	0
-红烧	906	197	4
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-胎毛	5	3	1
-呆若木鸡	0	0	1
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-宠爱	20	33	10
-红焖	127	15	0
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-胶木	4	11	3
-桑寄生	19	2	13
-深邃	6	8	3
-肌理	9	6	9
-尊敬	2	9	2
-美味	762	398	0
-保龄球馆	0	0	6
-安生	11	8	38
-激增	0	0	2
-一品红	6	6	4
-宠物	537	592	130
-鞘翅目	3	0	2
-安德镇	0	1	0
-喷油泵	2	10	1
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-维权	14	237	46
-温觉	1	1	0
-黄鼠狼	12	9	5
-山头	40	91	7
-对照表	0	0	15
-涂鸦	161	113	85
-两公开	1	1	0
-混迹	10	10	1
-酸菜	499	280	95
-零售额	0	0	1
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-版本号	0	0	1
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-炒菜锅	0	0	2
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-漩流	0	2	2
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-山坡	75	48	8
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-万安县	11	0	0
-屯垦	4	8	0
-素鸡	22	41	96
-练武	3	0	4
-肉皮	18	22	33
-圣卢西亚	17	3	0
-线毯	0	1	1
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-维文	0	5	5
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-剖面图	0	1	30
-缉拿	4	0	1
-尾巴	7	125	73
-缉捕	3	2	0
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-缩影	0	7	5
-联系	11	76	32
-卯是卯	0	0	4
-山城	43	41	112
-肥猪	10	1	2
-月牙湖	4	6	0
-脱手	2	0	2
-密码箱	1	1	3
-自动铅笔	0	0	2
-滑石	35	25	5
-狮身人面像	3	2	3
-美化	12	44	13
-肌瘤	0	23	20
-维族	3	2	0
-肺炎	33	23	207
-胸椎	13	4	0
-化学键	4	4	0
-腰子	9	21	42
-民间舞团	0	0	1
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-圣约翰	57	34	12
-重税	0	0	1
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-编成	0	7	2
-岗南	3	3	0
-腱子	2	7	8
-尿布	5	8	6
-美协	0	5	1
-瑞金市	53	3	1
-官爵	2	0	0
-二尖瓣	25	12	0
-耳膜	2	1	0
-罗威	14	28	4
-化学镀	6	3	0
-纸浆	22	16	13
-肉眼	7	10	5
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-氧化汞	1	1	3
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-岗区	0	54	6
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-绽放	42	30	43
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-展室	0	1	2
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-里程	6	111	31
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-渐进	30	31	6
-豁免权	1	0	11
-辩护律师	3	12	1
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-蝎子草	1	1	4
-岔口	9	20	7
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-续期	1	8	10
-富民	35	72	24
-纵深	4	8	4
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-云居寺	8	7	0
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-美分	1	3	0
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-列宁格勒	25	3	3
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-滞留	14	7	7
-攻击机	1	7	205
-老虎	229	141	116
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-绞杀	5	3	1
-罹难	0	1	2
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-明太鱼	8	9	13
-如狼似虎	0	0	1
-起落架	1	0	15
-娑罗树	1	0	3
-长毛兔	9	4	10
-堆沟港	3	0	0
-小户	30	51	1
-肥牛	29	71	86
-缺少	0	11	2
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-居家	152	316	9
-金石	139	181	46
-绪方	20	0	1
-萨马拉	14	14	1
-金矿	16	73	0
-屋子	3	20	21
-清远	324	58	6
-对攻	1	4	4
-乃东县	1	0	0
-腹足类	1	0	0
-百尺竿头	2	0	1
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-小报	9	27	12
-对敌	0	1	0
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-生机勃勃	2	1	0
-岸上	6	2	1
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-非线性	182	126	1
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-耳背	6	1	0
-婆罗门教	2	0	0
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-共命运	0	3	2
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-四合房	0	1	0
-绢本	1	5	1
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-屈就	1	0	0
-山场	3	3	0
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-对方	2	32	9
-天台乌药	2	0	0
-肉瘤	3	11	109
-宛然	1	0	1
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-考虑	2	8	3
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-重磅	7	3	0
-屠夫	12	7	28
-延胡索	16	7	22
-勘探者	0	1	1
-酱菜	6	23	60
-山地	152	174	33
-县知事	1	0	0
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-小指	8	3	1
-纵波	1	0	3
-闷子车	0	0	1
-竹制品	1	15	1
-鄱阳湖畔	1	0	0
-泰米尔伊拉姆	2	1	0
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-滩羊	3	1	4
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-饮食疗法	0	4	30
-家法	0	2	13
-山嘴	7	17	5
-小我	1	0	2
-小戏	1	11	6
-酿酒	21	141	21
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-团区委	0	1	0
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-东南亚	113	88	17
-肠癌	1	11	8
-身残志坚	1	0	0
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-自乐	2	3	9
-居室	47	75	35
-灵便	2	1	1
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-澄沙	7	1	1
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-重阳节	0	0	5
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-群团	2	2	0
-日薄西山	2	0	0
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-花生衣	6	3	0
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-美好	106	203	63
-滞胀	5	3	4
-万家寨	13	2	0
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-占有率	0	2	4
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-拾音器	1	0	9
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-胥浦	2	0	0
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-绿孔雀	0	0	2
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-肥田	7	0	0
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-黑洞洞	0	0	1
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-潜热	2	1	7
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-开创者	0	7	5
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-硝化棉	0	1	0
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-客源	6	33	0
-厉行节约	0	3	0
-昆山市	221	11	0
-咸阳市	134	6	1
-联网	35	351	118
-美声	20	25	1
-紫外光	35	11	0
-维修厂	0	0	9
-羊奶	31	24	8
-野蚕	3	1	2
-煤气灶	3	4	2
-家母	0	1	0
-口服液	11	13	757
-酿造	16	107	7
-屠场	0	0	4
-罢工	6	18	61
-松果体素	0	2	0
-老表	2	0	0
-滑腻	1	1	0
-四重奏	1	28	41
-射手	29	59	116
-字眼	0	1	0
-芮城县	13	1	0
-潮湿	8	3	2
-冷藏车	2	0	3
-漏税	0	2	0
-德涅斯特河	5	0	0
-煤气炉	1	2	3
-全自动	585	263	1
-文水县	30	1	0
-安然	24	13	16
-对接	9	114	0
-美院	62	157	6
-坐标系	1	7	112
-大洲岛	5	2	4
-孪生	35	26	3
-半工半读	1	5	0
-尚志	39	12	42
-尺寸	24	74	102
-羽化	9	6	0
-才华横溢	1	0	0
-终点	14	15	36
-脊梁	8	18	17
-东不压桥	1	0	0
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-学画	44	178	21
-属地	4	2	3
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-肝病	95	234	36
-灯会	0	8	41
-胡涂	2	1	2
-肛瘘	2	2	7
-纸牌	36	62	108
-酸酐	0	10	82
-传统戏	0	2	0
-纸版	1	2	3
-繁育	2	124	18
-野蛮	152	114	2
-自命不凡	2	1	0
-宫泽	29	2	1
-演示	16	104	17
-红生	0	1	19
-联结	13	14	36
-学界	4	6	6
-水利化	0	1	0
-煤气灯	1	0	0
-联组	1	0	0
-细点	6	1	2
-属国	1	3	6
-酉阳	33	13	0
-随风倒	1	0	0
-水利厅	1	6	22
-清馨	4	6	4
-尺子	0	0	4
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-亚硝酸	23	1	0
-滤纸	4	4	9
-东大寺	2	0	11
-学生	689	3127	137
-尴尬	13	18	7
-灌区	17	26	31
-脊柱	137	128	2
-胃炎	14	22	52
-缓期	2	7	3
-滚翻	5	0	4
-宪法	180	244	154
-急公好义	2	0	0
-三角铁	2	0	0
-缸房	0	1	0
-活性炭	63	67	130
-中国式	248	91	0
-察明	0	7	0
-火伤	0	0	4
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-公因式	0	2	1
-湖边	39	12	1
-耐蚀	10	10	0
-导报	1	18	83
-清香	100	33	14
-绝活	3	8	9
-书法集	0	6	43
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-增函数	0	0	1
-群雕	0	1	9
-桂山镇	0	2	1
-群雄	14	35	25
-认知科学	5	28	3
-酒钢	10	6	0
-酋长	20	36	25
-嫁衣	3	8	21
-于都县	17	3	0
-酒钱	0	0	2
-灶具	1	16	6
-鲜牛奶	2	0	5
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-客流	4	6	13
-继母	5	1	3
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-统治	17	67	25
-老话	0	0	3
-脂油	6	6	3
-布拖县	1	0	0
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-纸煤	1	0	0
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-对抗	31	108	61
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-对折	1	0	1
-酒铺	1	1	1
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-嫩草	2	3	4
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-羽冠	0	1	0
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-膝头	1	5	6
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-内向型	1	0	0
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-滴翠	6	3	0
-酸辛	0	10	1
-居多	1	0	0
-宫殿	20	74	104
-对手	11	47	34
-自便	0	1	2
-至交	1	0	0
-美食	180	622	180
-罪孽	10	2	4
-居士	8	69	103
-鸭绿江口	2	4	0
-至亲	1	1	2
-小影	23	6	4
-长葛市	51	4	0
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-胪溪	1	0	0
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-干燥箱	0	2	81
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-纸烟	0	2	0
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-美国	6441	2121	228
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-罩子	2	0	1
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-潸潸	0	0	1
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-抽油烟机	1	34	14
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-嫩芽	3	8	6
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-至于	2	3	3
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-尉健行	1	0	0
-滑翔	28	27	7
-嫩绿	5	4	1
-小孩	79	290	112
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-优缺点	0	0	2
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-自发	54	31	10
-清风	114	86	59
-聚落	9	50	11
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-美学家	0	2	1
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-老年痴呆症	1	3	2
-马尾藻	6	1	3
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-繁荣	27	93	37
-潮汛	0	2	0
-黄龙溪	8	2	2
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-腊月	18	5	2
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-密探	11	9	9
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-翻车	9	24	2
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-元宝枫	2	0	0
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-繁茂	2	2	3
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-里脊	40	165	229
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-翘首	7	3	0
-纷纷	13	5	6
-家居服	0	4	6
-南非共和国	2	4	0
-山楂	371	232	70
-小生	8	3	18
-肥育	1	4	0
-岁末	2	0	0
-缅甸	248	38	14
-客舱	5	4	0
-纷纭	1	1	2
-红脸	29	1	1
-肥肠	29	41	156
-灵动	48	35	4
-尤物	4	3	18
-新景点	1	7	0
-声东击西	2	0	3
-土耳其	216	62	13
-背篓	6	1	4
-相对性	5	4	4
-肥肉	5	4	3
-酒香	92	34	0
-客船	2	7	7
-自夸	0	0	1
-瀛州	6	3	4
-邀请书	0	0	1
-翻阅	2	7	1
-纹线	1	1	1
-罚款	6	30	5
-结算	37	240	112
-宫腰	0	2	1
-曲别针	5	2	1
-纺纱	16	19	18
-蒋家堰	1	0	0
-喷水池	0	6	3
-翼型	4	4	10
-炒作	7	10	17
-卫生网	0	0	5
-灭口	2	0	2
-肩胛	16	3	2
-温驯	2	2	0
-灯台	16	25	19
-轻型坦克	0	7	91
-安藤	61	5	0
-舞厅	6	5	12
-脚踏实地	0	1	2
-双球菌	0	4	1
-耳光	7	4	6
-纺织	266	1407	27
-职业	1161	12181	77
-纺线	1	0	0
-漫笔	1	7	41
-个人赛	0	9	0
-经籍	7	17	1
-少男	6	12	7
-翼城	13	4	0
-戏剧家	1	63	0
-里谷	0	8	0
-耳边	5	7	3
-脑瓜	1	1	0
-峡山	20	7	1
-肩膀	2	7	8
-民族乡	3	4	35
-教书匠	0	0	2
-字谜	10	10	13
-美文	22	273	0
-密约	2	5	7
-密级	2	1	0
-旬阳县	14	1	1
-卫生纸	11	13	5
-重读	44	14	3
-臣子	1	3	0
-纽约	448	222	79
-字调	0	0	4
-考场	21	149	52
-孪生子	1	0	3
-量词	4	13	9
-核火箭	1	1	0
-三角裤	2	0	2
-存在论	0	18	6
-呼啦啦	2	0	2
-溶解	56	91	11
-嬉笑怒骂	2	0	0
-美方	0	2	1
-尾灯	0	6	5
-臂弯	1	0	0
-溃逃	0	0	1
-老城	17	25	34
-航务	1	26	0
-三台村	1	0	2
-职介	1	2	0
-配额制	0	1	3
-氢化油	1	2	2
-羌族	31	59	2
-自娱	1	3	2
-至多	1	0	0
-届满	0	0	1
-溃退	0	1	0
-舞台	104	182	174
-罗汉	174	213	100
-绝笔	2	2	0
-聊以	5	2	0
-耳轮	2	0	0
-印刷版	2	0	0
-腰椎	68	50	0
-山里红	0	2	1
-落地灯	0	0	1
-奴隶社会	1	1	2
-唐三彩	48	9	3
-职责	11	179	61
-纠纷	18	782	143
-审美	143	284	50
-配音	9	80	19
-后半夜	0	0	1
-肤色	3	5	0
-缺水	1	2	7
-丁字形	2	0	0
-二重唱	1	0	7
-拜天地	1	1	0
-考取	0	4	0
-纠结	17	14	6
-小牛	55	42	11
-演绎	24	61	24
-灶台	1	0	0
-翅子	9	9	2
-缺氧	11	10	11
-漏网	3	0	3
-炊具	0	18	7
-家累	2	0	0
-纳米	629	494	10
-保有量	0	1	4
-演练	1	74	172
-岩心	24	10	3
-少爷	23	64	78
-岳庙	2	28	59
-红线	49	14	29
-溜走	0	0	3
-尼洋	1	0	2
-羞怯	6	3	2
-经社	1	4	0
-梦寐以求	0	1	0
-靖西县	6	0	0
-高粱饴	0	0	2
-考古	94	561	80
-官能	9	8	2
-胜利村	1	1	4
-胜算	3	12	2
-居民	80	582	46
-联谊	10	82	4
-灾区	4	75	1
-旭日东升	3	2	1
-育肥	6	15	9
-子规	5	4	7
-民以食为天	1	1	2
-灶君	0	2	0
-船儿	0	1	0
-纳粹	77	28	12
-肮脏	23	3	1
-调查局	0	37	20
-耻辱	7	7	4
-红绸	6	1	0
-孝行	5	6	7
-物理性质	0	0	6
-战胜国	0	0	1
-纠缠	10	10	11
-寻甸	11	2	0
-配页	2	0	0
-电视电话	0	2	0
-耐力	8	41	11
-练笔	0	1	0
-肉孜节	0	0	3
-绑票	10	4	1
-预备金	0	0	1
-脓疮	2	2	1
-配额	11	24	24
-孝衣	0	0	2
-导电	90	89	4
-纤细	66	6	3
-米粉肉	0	1	8
-耐劳	0	1	2
-官腔	1	0	2
-静脉曲张	9	31	23
-消费税	8	21	21
-终究	3	6	0
-金行	4	12	9
-纤维	249	856	462
-湘阴	17	3	0
-任何人	1	9	9
-闲不住	3	0	0
-聘请	0	10	0
-尾流	6	1	3
-门巴族	7	2	1
-牛仔布	2	0	3
-山本	152	10	2
-测电笔	0	0	1
-脐疝	4	1	6
-泗水县	12	3	0
-结社	3	15	11
-肆虐	4	3	5
-炎凉	1	0	3
-滋补	140	163	6
-自学	22	1020	17
-金衡	4	4	3
-操作性	3	2	2
-金表	0	1	2
-联产承包	1	3	1
-倾国倾城	7	3	4
-醇酒	5	9	5
-犹太人	96	79	30
-山杏	2	2	3
-羞惭	1	0	1
-醋酸	230	137	16
-老哥	1	1	5
-重要	45	411	91
-山村	82	47	1557
-文峰区	0	0	1
-背约	1	0	1
-寒窗	4	4	2
-红红火火	2	0	0
-岁数	0	4	0
-自封	5	5	2
-终竟	0	1	0
-配餐	4	82	61
-固体潮	2	4	0
-自尊	17	5	8
-终端	102	186	147
-层流	18	13	2
-自小	0	1	0
-岂敢	1	1	0
-毛遂自荐	0	0	1
-滚蛋	3	1	2
-农副产品	15	105	1
-自家	13	10	1
-羞愧	2	0	2
-纪纲	4	0	8
-翻两番	0	3	1
-导航台	1	0	2
-翎子	2	0	3
-实质性	9	8	0
-山林	44	149	42
-毛家湾	7	2	2
-漆膜	21	15	1
-耳郭	3	0	0
-火器	10	15	46
-峭壁	8	5	8
-航向	16	7	9
-扁形动物	1	0	0
-都市型	12	8	0
-尹湾	1	0	0
-脑瘫	13	22	56
-脑瘤	1	1	6
-类人猿	2	1	4
-渔鼓	3	5	29
-酒食	1	1	0
-成都市	1297	54	1
-而后	1	12	0
-共同纲领	0	0	2
-深成岩	0	3	0
-纬纱	0	2	1
-洗发精	0	0	1
-配饰	4	45	41
-洗手间	5	1	6
-纬线	2	3	3
-舱口	8	10	2
-滇西	71	13	0
-滑行	24	10	9
-肺腑	2	1	6
-重言	1	5	3
-肿胀	6	3	5
-群情	3	0	1
-罗摩衍那	1	7	1
-小班	34	23	0
-岁星	4	1	0
-催产素	1	0	4
-安营	2	8	4
-翻领	1	0	0
-邀请信	0	0	2
-雷神庙	3	0	0
-射电	37	35	12
-耶酥	0	1	1
-看笑话	2	2	0
-臆想	4	1	1
-对白	3	10	0
-绿帽子	1	0	1
-屏气	8	2	7
-知名人士	1	4	0
-联赛	2	99	454
-耐受	8	31	16
-湖面	1	4	1
-博望镇	6	0	1
-船务	1	78	5
-舒坦	1	3	4
-重视	3	12	0
-羡慕	3	4	0
-肺脏	8	2	0
-解码器	0	1	28
-短路器	1	0	0
-澳洲	365	62	16
-自尽	0	0	4
-老油条	3	1	3
-自居	1	0	1
-炕几	0	1	4
-炮仗	9	1	2
-排球赛	0	0	14
-山桃	7	13	5
-物理学	118	341	193
-艄公	1	1	0
-潜台词	0	0	1
-耽于	1	0	0
-寻的	3	1	0
-三资企业	2	1	0
-舌头	7	17	39
-灯影	23	12	8
-印刷机	8	9	123
-水准仪	0	5	11
-达尔文	120	50	43
-热值	1	7	10
-美容术	0	2	15
-委培生	0	0	3
-纸花	2	3	2
-屠杀	21	14	21
-实线	0	0	2
-群星	36	75	14
-印刷术	0	2	12
-胃脘	8	5	1
-脚癣	3	0	0
-铬铁矿	4	2	1
-金阳	43	51	12
-俱乐部	17	276	4392
-官署	0	3	5
-肆行	4	0	0
-挑战性	0	8	0
-美梦	17	17	16
-细胞	527	1121	655
-亚硝胺	0	1	4
-大屿山	8	2	0
-推广站	0	0	7
-灯彩	1	2	11
-联储	2	7	2
-脚盆	1	1	1
-胸章	1	1	7
-绵竹	89	27	2
-定编	1	3	1
-结缘	11	7	3
-舞坛	2	0	0
-急就章	3	7	7
-走马观花	2	0	0
-考题	13	269	8
-组胺	4	8	2
-危险物品	4	8	1
-耐震	11	8	0
-满载	9	1	3
-文房四宝	9	14	8
-绕组	8	86	37
-民族形式	0	2	1
-而外	0	2	1
-金陵	279	237	42
-岷山	15	24	4
-纸船	2	2	1
-舞场	1	2	0
-重霄	0	0	1
-永平镇	13	0	0
-编目	2	18	20
-药剂士	1	1	0
-育草	0	0	1
-船台	5	0	7
-烟农	15	1	0
-船只	0	6	4
-溧阳	96	18	3
-老婆	69	165	115
-说到做到	2	0	2
-跳伞塔	2	0	1
-十四行	1	2	2
-聚赌	0	1	0
-烟具	1	19	5
-心口不一	1	0	0
-金门	66	83	14
-续篇	0	3	21
-小炒	113	183	167
-胃肠	169	109	1
-密西西比	34	11	2
-宽窄	4	8	0
-垂死挣扎	1	0	1
-重阳	45	29	42
-至宝	11	56	10
-婚丧嫁娶	0	1	0
-封爵	1	2	0
-点火器	0	1	15
-肾脏	133	80	2
-绒绣	1	5	3
-香港特别行政区	32	12	2
-定级	0	23	6
-白纸坊	6	8	0
-小灶	2	1	0
-笔记簿	0	1	1
-育苗	15	104	31
-耒阳	105	15	1
-绒线	11	11	1
-船厂	3	17	0
-羽扇	8	8	7
-官绅	0	1	0
-转向灯	0	0	1
-蜈蚣草	2	1	7
-对抗赛	0	3	33
-老娘	10	1	4
-羞明	2	0	1
-续签	0	0	1
-育英	14	89	13
-至少	10	6	0
-赵州桥	2	1	2
-灰度	24	7	3
-片儿汤	1	0	0
-绞索	4	1	2
-灵川	15	5	3
-翻飞	1	0	0
-考妣	0	0	1
-聚会	10	28	66
-过关斩将	5	1	3
-寰球	10	4	0
-飞檐走壁	2	3	6
-灯座	0	1	6
-致密	25	15	3
-灵巧	17	31	2
-裁判权	0	2	2
-罗源	49	7	1
-致富	29	235	52
-背脊	3	2	3
-尼日利亚	47	29	0
-崖刻	0	19	4
-王府井	27	94	5
-考官	6	8	5
-细致	4	24	1
-刚柔相济	1	0	0
-守节	3	0	4
-统统	3	0	0
-翼展	2	4	0
-缉私	6	4	1
-绝缘	189	351	28
-尘烟	3	1	6
-老家	21	25	9
-职务	76	136	10
-军事体育	2	3	4
-考学	0	3	2
-联军	2	22	12
-老实	26	16	11
-联运	4	58	29
-屋檐	12	35	3
-烙印	13	11	27
-灾年	1	0	0
-茌平县	17	0	1
-决胜千里之外	0	1	1
-火情	0	3	2
-庄户人	2	0	0
-肝蛭	0	0	1
-口腔科	22	31	8
-官职	3	5	16
-舅子	0	0	1
-改革者	1	3	0
-采风	7	14	9
-编码	43	193	216
-操作法	0	3	22
-老宅	1	5	19
-自序	0	1	12
-烤羊肉串	1	3	6
-红藻	6	2	0
-宇航	33	68	27
-腹水	7	8	9
-系列剧	0	1	2
-自幼	0	1	0
-射猎	0	5	2
-尾气	6	34	4
-网点	9	31	12
-肠虫	2	2	2
-重音	4	1	19
-宣统	10	17	1
-红藤	9	5	4
-达尔曼	0	4	1
-细腻	1	4	1
-船员	20	56	6
-变速运动	0	0	1
-炮塔	18	21	22
-考风	0	1	0
-炒家	1	7	4
-十堰市	104	10	1
-老子	255	132	0
-宣纸	10	12	17
-胃腺	1	0	0
-里面	4	18	7
-灰心	1	0	4
-细菌战	2	7	7
-现阶段	2	9	0
-审结	0	1	0
-红薯	248	208	62
-烧光	1	0	0
-交朋友	1	25	15
-肯塔基	11	3	1
-腐烂	9	36	0
-工商联	4	38	11
-职分	1	0	0
-灯心	8	5	1
-小照	1	1	2
-潜能	49	375	86
-民间艺术团	0	0	6
-察看	0	0	2
-火性	2	0	1
-实绩	0	9	0
-高素质	4	0	0
-胡言乱语	0	0	3
-傻乎乎	0	1	1
-层次	22	125	42
-自己	119	1249	580
-定罪	8	35	4
-胎膜	3	0	1
-细细	2	5	11
-绿矾	3	2	4
-家禽	50	58	3
-完结	2	23	1
-炊帚	1	0	0
-红茶	79	51	157
-非公经济	3	4	0
-继站	0	0	1
-家私	2	81	28
-屋架	2	2	3
-自强	28	66	111
-屏条	0	0	2
-系列化	3	1	1
-密码	148	562	936
-腹泻	13	45	52
-烟台	1200	170	7
-烟叶	15	30	8
-耳针	5	5	0
-东坡肉	7	0	25
-百废待兴	1	0	1
-客籍	1	1	0
-续稿	0	0	2
-外高加索	3	0	0
-翻天	7	28	61
-组织	609	2587	1060
-组组	0	2	0
-胖胖	24	10	4
-职位	46	51	35
-罚没	2	16	0
-金针	464	362	26
-艺专	0	1	0
-长镜头	3	0	2
-航天部	1	0	0
-功率因数	13	3	3
-联邦	176	383	75
-封火	3	1	0
-对照	13	401	206
-考验	2	25	74
-运用自如	1	0	0
-漠视	2	2	0
-小满	4	2	0
-细纱	4	1	0
-梳理机	0	0	1
-自得	3	4	20
-新城市	20	13	1
-自律	30	94	15
-岩层	7	11	17
-美景	31	55	32
-耦合	37	128	49
-统管	0	3	1
-星系团	2	1	24
-缺点	2	8	0
-乱七八糟	5	3	1
-细纺	0	0	1
-热切	6	2	0
-色丹	3	2	2
-无限公司	0	0	2
-红花	357	203	38
-科技馆	8	27	105
-为民请命	0	0	1
-灰鼠皮	0	0	1
-灵性	19	25	10
-焊丝	2	3	88
-半圆形	4	1	1
-潜艇	52	56	456
-合成词	1	0	1
-小溪	40	19	20
-宪章	5	20	109
-中介费	0	0	4
-导热	87	145	3
-艳丽	13	3	48
-罅漏	0	0	1
-良人	1	5	7
-烟卷	1	0	0
-宵禁	0	1	2
-畜牧师	0	1	1
-军分区	2	10	10
-一手遮天	0	0	1
-家祠	0	8	31
-翠鸟	13	14	39
-烛台	8	4	41
-统筹	46	168	27
-文汇报	2	3	3
-民政厅	0	7	24
-守约	3	0	6
-联通	61	273	34
-炮声	1	1	1
-尿桶	1	0	0
-绚丽多彩	1	0	1
-红色	758	432	11
-胡编	1	0	0
-白云石	12	1	5
-线绳	0	2	1
-孤苦	3	0	1
-胶粒	0	0	4
-烧制	2	33	1
-不要脸	3	0	2
-线缆	12	189	22
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-年礼	0	8	3
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-上尉	7	24	14
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-蒸馏水	4	10	3
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-纪事	9	145	275
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-母畜	1	0	1
-不定	23	12	24
-奖罚分明	2	0	0
-纬书	1	0	3
-不宜	5	7	10
-约会	63	98	243
-之后	1	93	154
-纯一	3	7	33
-鱼石脂	5	0	0
-中垦	1	0	0
-乡党	2	3	1
-应用	595	8941	7495
-引文	10	11	0
-河套	49	34	0
-不安	22	13	43
-不知所措	0	0	2
-糖蜜	12	13	3
-油墨	47	72	181
-洋人	7	18	10
-开标	1	4	3
-下家	1	1	0
-法商	4	29	0
-此致	1	0	0
-彻夜	7	4	4
-氙气	5	6	0
-开栏	1	0	0
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-沙山	5	10	7
-夏令营	4	11	91
-创纪录	0	1	0
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-上家	5	3	0
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-帮腔	0	1	0
-不孕	47	96	53
-茵茵	1	0	8
-上宾	0	0	4
-紧紧	6	4	0
-不孝	8	1	2
-喷气式	13	29	0
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-民法	159	151	62
-尘埃落定	2	1	10
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-老年人	203	116	1
-汗津津	0	1	0
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-中坚	6	9	0
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-扫雷器	0	0	5
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-合作社	9	186	568
-沙层	0	0	1
-联席会议	1	41	17
-学到老	0	0	1
-苏轼	80	53	18
-水桶	10	2	11
-死结	1	1	5
-循化	25	6	0
-开枪	3	7	7
-监控器	0	4	18
-建档	3	2	1
-药粉	3	4	10
-人口数	0	0	3
-中场	11	1	5
-机器翻译	3	4	4
-弃权	4	1	1
-弄权	0	2	2
-三定	8	7	7
-毛猪	0	2	4
-三宝	111	89	152
-金额	11	12	40
-开架	7	0	0
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-运筹帷幄	3	2	6
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-水样	3	4	0
-形容	6	2	1
-上学	39	93	22
-泰兴	60	39	4
-鏊子	1	0	2
-气氛	10	27	17
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-强悍	11	11	2
-茶花	40	36	15
-毒理	2	7	2
-建校	1	16	6
-三子	21	16	14
-中国女排	3	2	0
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-三学	9	11	3
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-万宝	52	54	13
-药箱	0	3	10
-道里区	2	2	2
-远郊区	0	1	0
-班加罗尔	7	2	1
-乘凉	1	2	3
-中国	51729	21688	1248
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-红人	15	25	12
-蒸发	70	52	33
-业大	0	14	1
-开杆	0	0	1
-水标	0	0	1
-车管所	0	1	9
-玫瑰色	9	1	0
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-万宁	58	12	3
-农技站	0	0	1
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-两基	4	26	0
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-比率	10	28	7
-乏力	0	0	4
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-开本	1	4	0
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-民气	0	1	0
-水柜	1	1	5
-微利	15	13	3
-开机	15	12	16
-狼子野心	0	0	1
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-巡视	8	25	8
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-弹性	252	272	71
-青年报	1	15	17
-开朗	9	57	7
-乘兴	0	5	1
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-油垢	0	1	0
-闭音节	0	0	3
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-卫生丸	0	0	2
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-水松	8	5	7
-茯苓	172	236	25
-彩带	7	1	2
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-快乐	1800	1687	288
-马拉开波	2	0	0
-河堤	6	5	6
-沙子	50	15	23
-落户	3	7	2
-调皮鬼	7	2	1
-航空学	1	0	0
-纪元	29	33	89
-律师费	0	0	1
-水果	602	785	254
-工资	118	275	84
-复习题	1	114	3
-张望	9	10	4
-巡航导弹	2	16	70
-引桥	1	3	0
-气死	7	2	0
-工贸	2	1222	12
-形式	63	197	167
-无线电台	2	5	5
-坦桑尼亚	33	3	1
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-练习	19	1403	658
-巴西联邦共和国	0	3	0
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-药筒	1	2	1
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-一定	86	509	8
-庆祝	34	97	11
-营救	32	41	36
-泪光	6	3	5
-青春年少	0	0	2
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-乌兰浩特市	25	2	0
-著录	3	32	8
-金刚钻	6	0	7
-田阳县	4	1	0
-官运亨通	0	0	2
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-一家	10	184	129
-武联	2	0	0
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-武职	1	2	0
-布宜诺斯艾利斯	20	5	1
-治国	19	70	86
-江户	71	20	1
-一审	0	1	1
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-福安市	59	5	0
-茶色	31	5	1
-太阳眼镜	0	0	4
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-红净	1	0	0
-心动	43	117	26
-求教	1	0	1
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-苞谷	5	3	1
-民歌	27	115	195
-无烟煤	2	14	5
-南昌起义	5	8	3
-武者	15	25	30
-涧磁村	1	1	0
-义务	25	119	108
-胖嘟嘟	2	1	2
-丘墓	0	0	2
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-朝鲜战争	9	5	0
-赛璐玢	1	0	0
-约克	103	70	27
-纸伞	0	0	3
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-阑尾炎	3	0	13
-四方脸	0	1	0
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-习俗	4	39	118
-遭遇战	0	0	13
-改革家	0	3	1
-丁子	15	1	2
-之前	0	67	54
-干管	0	0	1
-开宗明义	1	1	0
-注入	13	31	19
-乖僻	2	0	2
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-经销商	23	38	19
-开拓进取	1	2	0
-并立	0	0	3
-纸人	8	2	4
-不如	14	206	0
-为名	0	2	3
-河坝	6	39	6
-幼稚	9	5	2
-主叫	10	0	1
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-蒋墅	0	1	0
-君主制	1	0	9
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-影展	0	0	21
-书亭	0	2	12
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-匹夫有责	0	0	1
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-茫茫	14	6	23
-裙带菜	19	4	13
-心力	10	6	0
-棒子面	3	0	0
-东城	142	134	38
-不妙	2	0	2
-红军	177	227	80
-乒乓球	61	114	40
-落成	1	5	5
-考察队	0	0	3
-得人心	1	1	0
-紫红	58	40	4
-东坡	161	138	35
-蒲包	3	1	0
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-布衣	53	33	33
-不可一世	1	0	0
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-波兰	326	78	10
-芥子油	2	0	0
-氆氇	1	0	1
-大江南北	0	1	1
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-紧缺	3	78	0
-母猪	40	18	10
-三委	0	1	0
-平竹	1	3	2
-黄冈市	64	5	1
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-独立国家	1	0	0
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-红党	0	0	3
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-红光	43	53	33
-朔州市	35	2	1
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-牡丹江	236	22	2
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-久别	5	1	0
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-油嘴	3	10	4
-草绿	5	8	2
-龙凤呈祥	10	7	1
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-巧计	1	0	1
-文学院	2	25	90
-草绳	1	1	1
-之内	0	41	10
-红蜘蛛	11	0	16
-纷争	9	9	22
-煤油灯	0	0	2
-中唱	6	3	0
-水景	16	38	9
-齐步走	0	0	3
-忠于	9	9	1
-繁峙	15	1	1
-不外	1	2	0
-丹参	103	79	32
-心切	0	1	4
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-纺丝	6	15	12
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-徽剧	0	1	1
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-放映室	0	0	6
-强手	6	8	3
-菜汤	1	15	383
-上天	15	9	0
-当归	434	242	73
-粘连	8	32	32
-矮个子	2	2	2
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-上头	5	2	0
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-以假乱真	1	2	0
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-残稿	0	0	4
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-比照	2	4	0
-白话文	1	3	3
-沟壑	4	9	6
-临县	64	2	3
-巡诊	1	1	1
-野马	54	33	20
-学术团体	0	2	3
-台北市	51	1	3
-巴西	485	153	27
-习习	0	1	0
-弥撒	5	4	17
-水族	38	77	9
-母爱	26	32	15
-法制	102	617	33
-幸福	1207	1497	573
-中咨	5	4	0
-变电所	8	13	7
-标新立异	1	0	0
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-平稳	10	38	3
-举动	2	0	4
-草约	0	0	4
-上声	2	0	0
-三夏	6	2	0
-水旱	8	35	0
-江米酒	1	0	0
-竹帘画	1	0	1
-丈夫	23	53	78
-举办	1	119	7
-乡乡	1	2	0
-上士	3	1	4
-芥子气	1	0	0
-东四	41	52	1
-野驴	3	7	10
-芳邻	6	3	20
-花都	115	165	74
-吸尘器	5	9	43
-特快专递	1	12	5
-并称	0	1	0
-西风东渐	5	0	2
-德化	120	53	5
-江山如画	4	1	5
-临危	14	1	1
-不堪	8	8	13
-待岗	1	0	1
-开河	8	6	6
-水浜	0	1	0
-忆苦思甜	2	0	0
-天旋地转	2	1	0
-弯曲	60	103	33
-永泰	97	71	31
-差距	6	68	45
-忍受	0	8	5
-忌口	0	2	7
-泄密	6	22	3
-半月形	4	1	0
-中听	0	1	0
-荣立	2	1	6
-河川	14	12	5
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-污染	113	837	329
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-丰县	101	130	31
-十字军	41	38	44
-通化市	67	1	0
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-镶嵌画	0	0	7
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-鲅鱼圈区	1	1	0
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-归拢	0	0	1
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-四化建设	0	0	1
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-死于非命	0	0	2
-沿岸	20	41	2
-丰台	43	40	2
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-一头	5	3	0
-水波	22	19	13
-丧命	0	1	1
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-武藤	32	1	0
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-良师益友	2	1	0
-中原	377	243	1
-当成	0	4	0
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-念书	1	1	1
-氖灯	1	0	1
-平素	2	1	1
-酸甜苦辣	8	1	5
-丸剂	2	2	6
-山苍子	2	1	0
-湖光山色	3	3	3
-洗冤	21	12	0
-乞丐	46	31	24
-花边	33	38	32
-当地化	0	1	0
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-水洗	36	28	3
-弱智	3	10	2
-或然性	1	0	0
-丰原	15	25	2
-气焊	10	7	1
-不好惹	0	8	36
-三塘	15	13	0
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-中号	0	3	0
-丰厚	0	1	5
-三塔	12	12	21
-中古	70	74	0
-系统	687	9102	10526
-水泽	19	4	0
-强敌	1	7	0
-水泻	0	2	2
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-快信	3	9	4
-水泵	59	157	119
-中发	5	13	0
-粤西	24	4	0
-抽象派	3	0	0
-强攻	3	5	0
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-中医	1496	2254	90
-弦月	4	8	8
-一统天下	1	2	4
-上坪	17	2	0
-自然观	0	8	11
-花轿	3	14	11
-征尘	0	0	2
-中午	4	2	5
-待定	2	5	0
-惊涛骇浪	1	0	1
-彼岸	113	87	66
-油层	10	12	4
-待客	4	7	2
-下坡	19	7	1
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-花轴	0	2	0
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-下坠	1	2	4
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-南阳村	1	0	2
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-沪市	1	1	1
-锯齿草	0	0	1
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-流入地	0	1	0
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-主公	2	3	3
-得奖	1	0	1
-金鱼	102	61	116
-辽东湾	4	1	0
-上坟	0	1	5
-欣赏	9	275	306
-茶缸	1	0	0
-上坡	19	1	0
-洋务	6	3	0
-营房	3	13	3
-年糕	40	90	355
-呼叫器	3	1	57
-幽篁	5	11	1
-童养媳	3	0	6
-渑池县	7	2	1
-泗州戏	0	1	0
-茶缘	2	0	1
-糖苷	7	62	97
-水沟	29	67	10
-射击场	0	3	7
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-中华	4054	1227	157
-乖乖	50	49	21
-泥土	16	35	10
-洪亮	7	2	50
-中卫	75	17	6
-巴豆	36	25	0
-天水市	49	7	0
-救护站	0	0	1
-不均	3	5	0
-下垂	3	7	18
-水汽	15	14	0
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-紫砂	73	131	19
-苏铁林	0	1	1
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-庄稼	8	4	5
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-乐于	2	1	0
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-张村	18	11	94
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-河山	29	52	31
-同化作用	1	0	2
-沧州	426	51	7
-繁荣党	0	0	2
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-中办	1	0	0
-中加	19	36	0
-绘声绘色	6	0	0
-治学	7	23	25
-镜花水月	1	3	3
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-上回	10	2	0
-艰难	43	33	8
-彭州	24	9	0
-上地	33	28	1
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-干粮	0	1	12
-上场	3	2	0
-短篇小说	7	443	74
-河岸	8	21	5
-太空舱	4	5	3
-乒乓	41	18	17
-毫瓦	1	0	0
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-形影	11	1	1
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-茉莉	103	87	109
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-高尔基	26	15	5
-神经质	6	2	0
-联合报	2	2	3
-三原	58	12	0
-征候	0	4	1
-律令	2	5	7
-形变	10	37	17
-疏忽大意	1	0	0
-粘附	8	8	2
-荸荠	183	109	92
-万古	32	28	8
-紫葳	6	3	3
-汗水	1	1	0
-业内	0	1	0
-异彩	4	2	7
-红土	42	14	9
-废止	3	39	5
-水火	39	11	14
-金蝉脱壳	2	1	2
-左臂	0	1	0
-爆米花	22	15	26
-油性	31	9	1
-万县	9	2	2
-疑难病	21	123	16
-经典	1178	7700	18
-洞口	70	20	2
-下午	13	45	25
-病原学	1	5	1
-毛笔	55	69	26
-专制	8	16	5
-中伏	1	2	0
-中休	0	2	0
-毛笋	2	0	3
-当啷	1	0	1
-开征	0	2	3
-广漠	2	0	0
-师职	0	18	0
-沙拉	132	248	1240
-三制	2	3	2
-百家姓	28	45	91
-个中	6	5	0
-个个	2	16	0
-三利	21	37	0
-上刑	0	1	0
-丧事	1	1	0
-水滴	40	23	27
-不准	9	22	9
-花香	40	82	0
-天气学	4	4	3
-萍踪浪迹	1	0	0
-水漂	3	5	1
-灯塔市	20	0	0
-废渣	2	10	6
-维修	164	2902	850
-水平面	0	0	1
-巨著	0	7	6
-张店	18	14	1
-研究员	1	3	17
-法官	120	93	34
-席篾	1	0	0
-希翼	0	1	0
-法定	128	77	2
-中下	7	17	18
-此行	1	0	2
-法宝	14	28	46
-信任投票	0	0	1
-影响	577	1065	283
-征募	0	1	1
-糖酶	0	3	18
-不凡	7	4	1
-两会	9	34	7
-经合	2	23	0
-扬眉吐气	2	0	0
-欢送	2	0	0
-止血	29	88	8
-烟夜蛾	0	0	1
-法子	2	5	6
-黑河市	25	1	0
-开战	0	9	15
-青年宫	1	1	3
-葡文	0	1	0
-芳香	124	60	12
-纤夫	5	1	8
-汉水	17	21	6
-引得	0	1	2
-与其	6	25	0
-法学	181	1379	309
-丧乱	2	4	1
-洗印	0	3	1
-不再	78	131	16
-统制	3	7	9
-菊石	14	41	42
-薄情郎	0	0	3
-欺负	3	10	1
-弹子	19	18	8
-开户	5	12	16
-年猪	1	2	0
-弹孔	0	1	3
-下凡	2	8	0
-绸伞	0	1	4
-汇流	8	17	10
-公用事业	11	65	3
-开拍	2	2	2
-纸型	0	1	1
-油彩	10	4	1
-殷红	8	0	1
-个人	89	636	45
-一发	6	3	0
-花生油	10	6	18
-庶母	0	0	1
-开拓	31	76	20
-戒严法	0	0	1
-火箭炮	6	15	223
-弹射	27	28	17
-流传	15	19	8
-浅井	31	5	0
-繁星	40	28	12
-歌诀	0	46	77
-弟弟	5	13	28
-张开	86	2	0
-药草	8	15	9
-鉴别力	1	0	0
-喜上眉梢	2	3	0
-硬纸板	1	0	0
-比上不足	1	0	0
-速冻机	0	0	2
-洋枪队	1	1	1
-合成塔	1	0	2
-莱西市	61	2	0
-葡萄酒	121	265	438
-张弓	6	6	1
-中专	16	334	217
-三副	2	6	1
-洛南	47	6	2
-草长莺飞	1	0	0
-上前	3	1	0
-莴笋	193	169	175
-结合	52	951	84
-中东	112	117	22
-汁液	2	1	2
-没戏	1	2	1
-蓝图	6	30	21
-香喷喷	7	2	0
-步行	26	44	4
-年率	0	1	2
-流产	15	11	28
-弹道导弹	12	86	162
-法家	19	11	4
-活佛	14	30	62
-流亡	20	20	6
-港澳台侨	1	2	0
-绣制	0	0	1
-水潭	3	9	7
-红娘	17	19	15
-南盘江	4	3	0
-按摩椅	2	2	8
-待办	0	1	0
-芸香	16	15	10
-钓丝	1	0	0
-毕竟	4	5	1
-不利	6	12	1
-钉住	1	3	0
-武行	5	0	2
-言行一致	0	1	0
-绣像	13	27	1
-药膜	1	0	6
-透明纸	0	0	1
-齐齐哈尔市	77	6	1
-白衣天使	2	4	1
-建成	11	32	89
-三元	243	176	0
-玻璃丝	3	1	0
-款识	1	8	4
-幽然	1	1	0
-药膏	1	4	39
-绵亘	1	0	1
-礼尚往来	0	1	0
-当场	4	4	0
-绘制	7	151	38
-泥墙	0	2	0
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-仙人鞭	0	0	1
-和平街	9	11	1
-正离子	0	0	9
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-上光	5	14	0
-油布	0	0	1
-式微	0	73	5
-蓉城	12	8	0
-注塑	108	124	10
-药膳	64	183	160
-豆腐花	2	5	12
-水渠	1	4	8
-脱颖而出	7	12	14
-水温	7	18	3
-绑匪	2	1	7
-洗劫	4	3	0
-三光	15	3	0
-发病率	0	0	3
-苯酚	11	42	162
-艺龄	0	0	2
-一则	7	10	0
-洗刷	0	4	1
-征兵	10	52	15
-极乐鸟	4	2	26
-泥塑	14	22	44
-泰国	446	89	12
-东亭	14	8	6
-东京	593	195	62
-影印	11	171	3
-粉饰	3	4	1
-紫藤	48	26	12
-弯子	10	18	0
-洋县	47	38	4
-洋参	70	56	13
-信用社	3	149	30
-永济	40	11	6
-二进宫	0	0	3
-泥塘	1	36	5
-干爹	2	2	3
-汀江	3	1	1
-干爽	1	1	0
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-殉节	0	1	0
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-平版	21	10	2
-当地	10	7	0
-河床	27	5	3
-荠菜	194	88	36
-指甲花	2	0	4
-葵扇	1	0	5
-系词	0	3	2
-水深	6	6	18
-得以	0	2	0
-荟萃	15	62	146
-菜瓜	5	4	5
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-消费群	0	0	2
-丢人	0	1	5
-不光	0	2	0
-万分	4	9	0
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-上册	1	166	0
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-流下	1	3	1
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-绞刀	0	1	1
-毛票	1	0	0
-欢迎	77	179	19
-孝文帝	4	7	3
-废液	0	5	1
-不公	2	3	2
-经受	0	2	0
-油库	52	13	16
-独创性	0	0	1
-不免	0	0	2
-荣获	1	6	0
-绞肠痧	0	1	0
-探险队	0	4	25
-绞刑	3	5	1
-汀洲	4	1	4
-冰风暴	0	0	2
-续假	0	0	1
-海淀区	35	84	0
-外交辞令	0	1	0
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-红壤	5	9	13
-得体	2	5	4
-小精灵	40	121	101
-谈笑风生	1	0	0
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-世俗	26	18	2
-明末清初	17	10	0
-菜田	6	12	0
-系谱	4	6	23
-经历	7	55	82
-建房	1	22	14
-花饰	2	11	17
-卫生城	0	0	1
-断头台	5	2	3
-荧荧	0	1	2
-三军	12	18	0
-消费者	195	256	29
-多伦多	69	24	9
-平狄	7	0	0
-之所以	0	7	0
-弓形	26	30	1
-红外	275	401	10
-除非己莫为	0	0	2
-神农溪	3	3	3
-求治	0	1	2
-英里	2	8	5
-荤菜	1	8	7
-落榜	3	2	1
-一动	2	1	1
-欣闻	1	0	0
-哈雷彗星	1	1	0
-弘愿	1	1	1
-发行史	0	0	3
-抽样调查	4	25	5
-段落	11	4	10
-不依	3	0	0
-工蚁	0	0	8
-工业革命	1	4	7
-世事	14	6	11
-水瓢	1	0	0
-沙梨	11	4	4
-汹汹	1	0	5
-紫胶	17	2	0
-蓬勃	6	7	8
-平生	12	10	53
-径向	50	16	1
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-专人	1	0	0
-纳入	0	15	0
-丘东	8	0	0
-珀金斯	4	2	3
-维纳斯	100	57	72
-平田	33	12	6
-蓉园	2	3	0
-弧形	27	13	0
-青海湖	29	13	2
-田园诗	17	4	3
-世人	3	9	8
-一大早	1	0	0
-水田	34	35	7
-幻灯机	0	1	2
-如影随形	1	3	1
-丛丛	0	0	5
-业主	43	56	10
-经书	4	8	8
-纳凉	5	19	5
-徒劳	4	1	2
-不俗	0	0	1
-海上	493	386	13
-红参	29	14	5
-得到	6	31	10
-高浓度	11	2	0
-一共	0	1	0
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-歧路	12	7	5
-老年学	9	39	4
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-丛中	3	5	0
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-纠合	1	0	0
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-得利	18	139	0
-人民战争	2	0	0
-苦酒	3	3	4
-雪窦山	5	2	1
-沙棘	44	26	12
-素色	10	5	1
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-一元	69	19	0
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-纯利	0	0	1
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-大静脉	0	2	1
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-氟石	0	5	0
-繁忙	23	5	0
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-开播	1	0	0
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-廉正	4	0	0
-影印件	0	0	1
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-世代	20	136	81
-老干局	0	2	3
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-水界	2	1	2
-月球车	3	0	2
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-迎宾曲	0	0	2
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-新黄浦	4	5	0
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-汾河	25	12	2
-弯弯	16	14	24
-不停	6	4	0
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-水疱	6	6	1
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-永田	34	1	17
-光闪闪	0	1	3
-钢丝	83	62	27
-东亚	296	281	28
-永生	67	65	125
-泸州	228	36	2
-干瘦	0	4	0
-水疗	13	46	11
-日光灯	6	5	5
-欧阳	1083	133	3
-师范	17	614	79
-吨粮田	0	1	0
-雪窦寺	1	0	1
-弯弓	6	1	4
-一准	0	0	1
-汽油	70	51	53
-东乡	54	13	48
-联合机	0	1	0
-建文	12	20	96
-波恩	14	13	13
-济南	3035	421	20
-沙枣	10	2	7
-歌迷	2	23	3
-上任	3	6	3
-求爱	31	35	9
-约分	1	1	0
-水珠	11	7	10
-当天	10	3	0
-沙果	2	3	1
-挑战赛	0	26	138
-比美	2	8	0
-御侮	3	0	3
-毛纺	5	32	0
-三伏	7	0	2
-柠檬油	1	0	4
-回旋曲	1	2	4
-洋姜	2	1	10
-三优	8	6	0
-活口	0	1	1
-花雕	61	23	1
-庶民	4	3	5
-透明胶	4	2	0
-上代	6	5	0
-地学界	0	0	1
-汲水	11	3	1
-不予	5	2	1
-归天	1	5	3
-开挖	1	41	9
-不争	1	8	0
-强将	2	2	0
-粗野	7	0	0
-粗重	1	0	1
-正负	14	9	0
-沙林	11	16	12
-育婴堂	1	0	2
-下人	0	12	4
-波导管	0	1	1
-级别	4	28	36
-疑问词	1	0	1
-律动	7	11	9
-电器行	0	0	1
-初级中学	1	8	1695
-替代品	1	3	4
-底火	1	1	4
-专业	368	10042	1773
-钻牛角尖	0	1	0
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-肇东市	8	1	0
-老规矩	0	1	0
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-下任	1	1	0
-弧度	4	3	2
-白家庄	17	3	0
-毛线	18	23	3
-北京城	23	7	0
-金融界	5	4	1
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-青年团	4	61	17
-社旗县	14	3	0
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-专一	6	5	2
-当头	3	8	15
-活命	8	9	1
-彩图	76	168	2
-希腊	367	366	32
-徒刑	0	0	1
-下作	1	2	0
-红包	3	5	17
-世上	47	26	2
-终了	2	2	3
-每股	32	10	0
-落果	2	4	2
-上佳	6	10	0
-泡影	2	0	2
-下体	1	0	0
-微云	3	3	8
-花鞋	0	0	6
-落枕	2	1	1
-下位	14	1	3
-组件	11	84	80
-不休	0	5	25
-安乐椅	3	1	0
-丑事	1	0	1
-秉笔直书	0	1	0
-大河乡	1	0	1
-没有	453	529	29
-原子钟	1	2	6
-虞城县	28	1	0
-开掘	3	1	0
-蓟县	177	44	2
-彩团	0	25	1
-浪人	21	8	17
-上体	0	2	1
-源远流长	1	5	0
-玻璃体	23	12	0
-上位	22	4	4
-往后	0	1	1
-发行员	0	0	4
-征召	2	1	2
-和平路	4	16	0
-帆船	21	92	72
-浮云	40	21	28
-泰州	320	59	2
-正路	3	3	0
-花露	4	6	8
-弗吉尼亚	55	33	5
-红博	6	3	1
-流向	4	19	12
-纯净	17	26	0
-市花	0	11	2
-不住	2	10	0
-同工同酬	1	1	0
-不但	2	0	0
-波形	47	29	6
-布艺	43	145	62
-乌蒙山	9	0	0
-无心插柳柳成荫	0	0	1
-上供	1	2	0
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-与会	1	10	1
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-开明	40	21	41
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-给付	9	16	0
-工行	13	6	2
-精通	359	262	1279
-桃源村	1	0	6
-统一	165	868	51
-草药	15	34	8
-流利	17	38	2
-紫苏	186	72	18
-污浊	2	0	0
-精选	209	1973	2411
-静乐县	11	0	0
-落日	50	39	18
-呼吸器	2	7	52
-钓具	0	11	1
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-三不	0	7	0
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-线列	0	3	0
-开春	0	2	0
-蛇根草	1	0	37
-海洋法	5	17	0
-草莓	643	345	96
-汩汩	1	0	2
-强弱	5	12	5
-张扬	15	12	4
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-当局	0	4	2
-上下	116	299	106
-方块字	0	0	1
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-法律	1052	5335	176
-米饭	36	39	180
-一体	34	213	42
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-茼蒿	112	37	74
-微光	32	28	6
-廉洁	25	77	4
-得名	0	1	0
-地层学	1	22	31
-汪汪	5	2	3
-箭在弦上	1	0	0
-靡靡之音	2	0	1
-助消化	3	0	0
-气盛	1	0	5
-吃吃喝喝	2	0	0
-固色剂	1	1	2
-经销处	0	0	6
-比绍	1	7	0
-破坏性	23	24	1
-卫生学	4	32	32
-万事	75	134	2
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-紫草	42	29	57
-输电网	0	1	0
-绢丝	4	3	0
-紫荆	68	97	22
-浦东	198	360	6
-十二指肠	51	25	0
-草荐	1	0	0
-绝交	0	5	1
-三九	61	34	7
-通用性	2	1	0
-草草	8	10	1
-江淮	95	52	9
-草荒	0	0	2
-影壁	8	6	9
-北海市	151	10	2
-上乘	3	5	0
-工装	10	30	13
-心仪	2	2	20
-独生女	1	3	0
-练出	3	4	0
-巴蜀	118	46	1
-流动	211	399	99
-高尔夫	140	473	172
-上书	8	10	0
-牵引车	0	9	58
-建材	84	1854	51
-电瓶车	2	2	5
-泰山	431	203	72
-民众党	0	0	2
-萍水	6	0	0
-不一	3	6	8
-晚香玉	6	0	1
-太空站	4	2	11
-三井	43	23	0
-死角	3	4	8
-菜牛	0	32	2
-获益	1	2	5
-一侧	2	1	0
-废物	32	277	48
-一对一	13	5	4
-水獭	15	6	19
-征兵制	0	0	3
-纸卡	3	3	1
-三产	5	5	0
-热那亚	18	4	0
-文学馆	0	14	11
-泥工	0	3	2
-波幅	0	3	5
-天气图	1	0	6
-御医	7	10	7
-下乡	8	82	46
-泥巴	22	11	10
-三亚	1010	107	6
-丈人	5	3	14
-草菇	191	126	62
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-不丹	38	2	2
-征地	30	116	1
-绥东	2	2	1
-草莽	15	3	2
-潍坊市	225	12	2
-加湿器	0	6	46
-抛光机	2	4	69
-红嘴	64	21	0
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-腺细胞	0	2	2
-上交	3	2	0
-钦佩	2	0	1
-荒芜	10	8	4
-纸厂	16	12	3
-洋奴	2	0	0
-徐庄村	0	0	3
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-纪念邮票	0	0	27
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-紫菀	27	16	126
-上京	17	18	0
-原子量	2	0	1
-不乏	1	0	0
-留兰香	4	0	2
-消毒剂	1	13	43
-汪洋	22	6	10
-不期而至	2	0	0
-万众	22	46	1
-上人	2	85	0
-开曼	11	5	2
-高风险	5	1	0
-毫米	5	2	1
-组别	1	23	6
-一世	53	112	0
-泼妇	3	8	0
-输电线	1	1	0
-卫生局	0	91	307
-一业	1	1	0
-彩塑	15	27	22
-未遂犯	1	0	0
-注射	658	207	26
-影坛	2	3	1
-热身赛	0	2	3
-一一	11	52	22
-磁效应	0	0	11
-彭城	37	16	1
-单晶体	2	1	0
-回收站	0	0	5
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-开放	251	673	57
-十年树木	1	0	0
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-一举	12	3	2
-花销	0	0	1
-歌路	1	1	1
-英资	0	1	0
-蒲团	3	11	6
-经传	7	28	8
-结交	1	2	3
-停机场	0	1	2
-研究型	22	22	0
-汗液	0	0	2
-开支	0	6	6
-席纹	0	1	0
-消费类	4	5	0
-一中	6	128	1567
-江河	41	101	56
-钨丝	2	2	0
-草芥	2	3	1
-纯化	8	49	16
-波峰	13	23	1
-弘扬	20	32	4
-底牌	0	9	27
-效益型	5	1	0
-流入	3	12	7
-独生子	0	2	1
-底版	1	0	0
-底片	7	3	13
-池沼	5	0	2
-营林	2	10	1
-毛糙	1	3	2
-菌物	6	4	1
-荆芥	29	15	49
-蒜头	63	57	11
-麻醉药	1	1	4
-萧条	5	31	20
-金城汤池	0	0	1
-大不了	0	0	1
-影城	2	14	232
-弹库	0	1	0
-停机坪	0	3	4
-花钱	6	33	23
-鱼雷艇	0	1	26
-泥岩	2	1	3
-法庭	37	63	81
-平白	1	4	0
-汤池	17	16	6
-派出	5	10	0
-纸制	3	8	0
-法度	3	3	12
-沛新	0	0	1
-第三世界	11	9	4
-幼畜	0	6	1
-电视大学	0	3	11
-蒲圻	8	3	0
-广田	11	14	23
-绊倒	1	0	0
-花镜	2	2	10
-爱尔兰岛	0	0	1
-广电	52	264	7
-异教	3	3	1
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-活剧	0	2	0
-李四光	12	15	2
-轻骑队	0	0	1
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-汗渍	8	5	0
-水牛儿	0	0	1
-泰宁	64	11	13
-母线	25	36	30
-开斋	1	0	0
-巡行	1	0	1
-水牌	0	5	1
-死心塌地	0	0	3
-泰安	407	105	18
-水牛	49	27	53
-江津	51	24	5
-污泥	96	80	16
-绚丽	41	27	4
-水牢	2	1	0
-精辟	1	2	0
-派别	0	0	5
-开方	3	3	7
-紫色	162	38	7
-结伙	2	0	1
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-迎客松	1	3	5
-没收	11	12	2
-心上	6	21	13
-荣耀	66	63	106
-素菜	35	57	36
-当官	2	12	8
-归宿	1	13	25
-强度	23	446	300
-卫生室	0	7	8
-武警	197	175	3
-活力	135	219	37
-给予	5	9	3
-内部化	2	1	3
-江流	5	1	8
-脊梁骨	0	2	2
-菱湖	14	9	5
-结伴	6	6	0
-活动	195	1810	440
-漯河市	120	7	0
-异文	4	13	3
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-金字塔式	6	0	0
-钟体	2	0	0
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-当家	16	74	91
-君主国	0	0	1
-流出	5	18	6
-草芽	2	1	4
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-江浙	27	16	2
-暖气片	1	11	16
-中流砥柱	3	1	2
-绝不	1	15	0
-紫芝	13	5	7
-心中	81	149	32
-江油市	26	10	0
-汤泉	28	24	12
-殡葬	27	113	4
-结余	4	9	11
-弹弓	36	10	17
-乡下人	3	1	1
-苏醒	19	10	21
-民盟	12	4	0
-绞丝	0	4	4
-联络部	0	1	3
-一代	154	200	1
-针剂	0	4	17
-江海	82	72	22
-彩头	2	2	1
-巨蟒	18	3	13
-延期	26	22	7
-特立尼达	25	7	1
-纱厂	1	7	10
-中村	153	15	0
-油桶	14	7	2
-交响诗	11	2	2
-丈母	1	0	2
-海关	155	303	117
-水碓	17	4	1
-乡愁	15	7	21
-中杏	0	1	1
-绿叶	88	66	13
-强烈	9	4	1
-沾染	2	0	2
-比萨	49	53	142
-心急	5	0	0
-心性	14	46	4
-从句	0	4	0
-治校	1	5	1
-仓卒	4	0	0
-卫生巾	1	2	23
-仓单	10	3	6
-浮动	76	41	16
-中杰	4	20	24
-练字	5	33	1
-万民	15	9	19
-缓冲	53	69	11
-网球场	5	0	20
-亢奋	1	0	4
-海内	20	12	2
-细嫩	0	6	2
-再造术	0	1	19
-不止	8	12	14
-博士后	9	121	2
-浮力	27	5	5
-浸入	7	5	0
-洋底	7	2	0
-三毛	104	32	17
-缭乱	3	10	12
-经委	0	4	4
-海兽	12	19	4
-沐浴	53	83	10
-沉湎	0	1	0
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-紧贴	1	0	0
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-乡情	4	11	0
-今后	0	3	0
-怡和	32	37	3
-将军林	0	1	1
-教育部	1207	713	11
-纸屑	0	0	1
-习惯	93	452	417
-心怀	7	1	0
-吊胃口	1	0	0
-生产经营性	0	1	0
-心态	85	291	183
-中期	32	123	0
-二审	1	7	1
-得救	1	6	0
-恒产	1	0	1
-综合	758	5450	154
-洞察	26	37	6
-浴具	0	1	0
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-活塞	76	112	9
-干裂	0	0	2
-布阵	3	2	5
-京城	95	57	25
-毛茶	7	4	15
-沉渣	2	5	1
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-流域	81	383	66
-乖戾	1	1	1
-浦南	11	13	0
-油桐	12	4	2
-象征性	11	3	0
-主文	1	0	1
-江猪	0	1	2
-引申	4	1	3
-严格	23	50	1
-心思	3	17	12
-治标	1	0	2
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-引用	17	22	21
-忧容	1	0	0
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-大个儿	0	0	1
-丝棉	6	6	9
-沉淀	56	79	39
-索贿	2	0	0
-为政	9	11	0
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-缫丝	3	3	1
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-休止符	0	1	7
-平衡	335	795	376
-临时	153	171	1
-急变	1	2	2
-待机	8	12	2
-武部	6	0	0
-上次	1	1	0
-绿卡	12	40	10
-沂源	64	7	0
-助记符	0	0	1
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-座舱	11	1	7
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-花面狸	0	1	0
-严查	0	1	0
-主攻	5	0	0
-主教	27	95	24
-油柿	1	0	1
-一汽	97	41	1
-任丘	79	12	2
-文工团	0	6	44
-浩劫	20	23	64
-师长	1	4	3
-氯碱	8	17	0
-鹤岗市	45	2	0
-年表	0	10	0
-心志	3	3	5
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-专横	1	0	1
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-事实	44	56	36
-汗珠	2	1	0
-事宜	0	39	5
-中曾	4	0	0
-耗油率	0	0	1
-维和	9	35	14
-菌肥	0	1	4
-消亡	2	5	6
-中暑	4	3	9
-高层次	5	27	0
-内罗毕	9	6	0
-南陵县	85	5	0
-浮冰	3	4	1
-沉浮	14	63	81
-兴奋性	6	1	4
-素质	58	762	126
-丹顶鹤	10	11	2
-学生装	0	0	4
-一气	7	9	6
-气管	35	38	18
-沉浸	9	1	0
-从医	0	5	0
-川马	0	13	1
-毒菌	3	2	2
-红庙	29	20	2
-付出	6	19	6
-新桥镇	6	4	3
-油柑	6	3	4
-义捐	0	1	0
-纽子	4	2	1
-英魂	2	5	13
-心律	32	47	23
-缠住	0	1	0
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-苍龙	28	21	9
-心得	9	50	108
-桐庐县	26	1	0
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-恒久	9	27	4
-级差	6	9	10
-开眼	3	8	4
-歪道	0	0	3
-污物	1	3	1
-针叶	30	53	0
-沁源	10	3	2
-科利马	5	1	1
-芥蓝菜	3	1	4
-平行	192	93	7
-人间地狱	0	0	1
-三沿	1	0	0
-分身术	0	1	3
-中档	1	5	0
-细密	3	5	0
-沙浆	2	2	0
-浸剂	0	0	5
-纲常	4	0	1
-云层	6	5	5
-心愿	8	17	56
-线性规划	6	5	3
-下沉	15	11	0
-练就	5	19	0
-中桥	29	43	6
-钢刀	0	3	5
-钙化	15	21	30
-纯度	4	22	9
-铁丹	1	1	1
-精髓	0	24	53
-产妇	32	13	3
-水产品	85	81	7
-浑圆	6	8	0
-终审	1	6	1
-人均	29	7	0
-总务	5	5	0
-编制	22	809	85
-莼菜	42	36	15
-莽莽	4	2	6
-泉林	13	12	8
-草野	11	2	2
-泵房	1	0	3
-高射炮	4	28	67
-中医院	1	35	743
-结婚	129	177	80
-纪录	13	67	117
-药费	1	0	0
-名扬四海	0	0	1
-集约化	9	10	2
-五小	6	7	0
-缘分	30	8	14
-求知	23	26	4
-布鞋	2	8	22
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-下龙湾	1	3	4
-黄金水道	0	1	1
-沙浴	1	1	3
-荒郊	1	0	0
-中直机关	1	0	0
-绝壁	5	3	5
-库藏	2	1	0
-主景	1	0	0
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-调虎离山	1	0	1
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-五官	21	36	13
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-汽灯	0	0	1
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-专款	3	3	2
-下水	30	14	0
-紧跟	2	0	1
-风云录	0	19	121
-东华门	6	2	0
-布面	1	4	0
-上汽	20	5	0
-河槽	7	3	0
-平角	2	10	1
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-老年性	41	13	0
-底薪	0	2	4
-日内瓦	54	18	3
-纱帽	13	4	7
-浮华	30	16	7
-任何	2	40	0
-平视	8	1	2
-沙洲	21	43	33
-心意	30	36	8
-铅丝	3	3	0
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-圣诞树	19	11	41
-市面	0	1	0
-宣州市	1	0	0
-亚足联	6	6	0
-毒蕈	4	1	0
-东方红	125	46	3
-派头	0	0	1
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-聚酯薄膜	2	1	3
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-冷冰冰	1	1	1
-布雷	203	414	48
-交好	3	0	1
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-以军	2	0	6
-不可收拾	0	0	2
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-脚丫子	0	1	2
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-法文	4	36	14
-大沙河	6	2	2
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-主星	2	1	5
-坐井观天	1	0	0
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-身不由己	1	1	1
-以内	0	192	0
-莽草	2	1	3
-纱巾	1	4	3
-中标	24	36	5
-菜羊	0	8	0
-济困	0	1	2
-红心	55	21	15
-莹莹	1	5	35
-底蕴	0	1	11
-纬度	12	14	18
-首日封	0	0	5
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-心惊	4	1	7
-上水	36	14	0
-纱布	6	7	9
-火箭筒	3	2	162
-繁殖	18	123	45
-蕙兰	13	6	13
-等压线	0	0	4
-钻井	55	119	0
-煅烧炉	0	1	2
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-透析机	0	0	5
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-纪年	1	47	47
-海军	207	598	153
-法政	7	55	0
-水碾	4	1	0
-糖霜	16	2	2
-亮堂	4	1	0
-中枢	31	21	40
-缓减	0	1	0
-一窍不通	0	1	0
-市集	1	17	0
-主旨	3	3	0
-巴拿马	73	15	3
-待查	0	0	1
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-交大	61	81	3
-海冰	7	16	7
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-求真	13	24	0
-童叟无欺	1	0	0
-企业	3893	10067	591
-沙沙	9	13	11
-编内	1	3	0
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-防腐剂	0	16	18
-一派	3	9	15
-沙沟	34	20	2
-总则	2	40	27
-海泡石	9	2	0
-价位	1	3	5
-翻译官	2	1	5
-水磨	48	13	2
-莲蓬	32	20	3
-羊毛绒	1	0	0
-沙河	135	136	28
-油棕	10	1	2
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-浦口	30	32	0
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-议会制	1	0	3
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-四季海棠	1	0	0
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-书库	0	59	27
-书店	12	39	156
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-巴马	76	249	33
-云母片	2	1	4
-钢包	12	4	0
-中文	411	889	118
-蒙昧	4	2	1
-荣记	4	1	2
-人味	2	3	0
-仁厚	7	3	8
-个旧	31	3	1
-于洪区	4	32	0
-云头	12	6	2
-临摹	19	178	13
-结子	2	3	4
-主控	20	10	2
-井壁	6	2	1
-莫若	7	6	2
-乐感	2	2	2
-沙发床	0	0	4
-心房	23	14	8
-更衣室	2	0	2
-弥留	2	1	2
-富士山	9	2	4
-糖食	0	1	0
-兼听则明	2	0	0
-丛林	260	140	88
-人员	79	2168	290
-秘鲁共和国	1	2	0
-得来	7	12	0
-幻觉	17	13	62
-忌惮	0	0	8
-缝制	1	59	3
-总厂	0	43	179
-忏悔	33	32	41
-上楼	8	0	0
-中放	1	1	0
-彼得大帝	11	4	2
-乐意	7	8	4
-不义之财	1	0	0
-云天	36	114	64
-指挥部	0	111	33
-个数	1	9	0
-河曲	27	5	5
-或然率	0	1	3
-荷尔蒙	15	7	22
-法拉	99	84	20
-开禁	1	1	0
-从军	26	14	0
-严明	15	1	4
-专案	4	5	3
-九归	0	4	0
-人名	9	29	1
-沧桑	36	48	51
-借尸还魂	2	0	2
-蓝布	6	1	4
-蓄意	1	3	0
-纪念	160	1140	68
-廉耻	1	3	0
-互联网络	4	43	4
-泽州	14	4	1
-常量	7	8	27
-浪漫性	0	1	0
-彭水	62	7	0
-人口	259	955	102
-沂河	13	13	2
-终局	2	8	5
-闹革命	0	0	2
-经学	26	60	15
-污点	7	2	6
-红宝石	52	41	28
-开票	2	11	4
-座落	1	6	0
-纸带	6	3	8
-汉王	121	16	2
-正轨	0	0	1
-亡国	30	25	5
-浑厚	1	0	2
-紧身	7	8	1
-白山市	42	6	0
-代价	2	27	80
-绝妙	32	39	0
-人参	572	300	51
-铅丹	3	0	0
-铁人	34	42	21
-缺乏	7	155	28
-天竺葵	7	4	12
-沉毅	1	0	0
-炼钢炉	0	0	1
-库蚊	2	0	5
-书市	0	0	3
-纸币	9	34	21
-南阳市	164	10	1
-专栏	3	12	5
-乳山	39	20	2
-廉者	1	0	0
-获胜	1	10	2
-精魂	5	5	4
-纸巾	8	13	8
-沅水	7	4	0
-收音机	7	14	58
-膨松剂	0	0	2
-洪堡	23	11	5
-终将	2	15	0
-汹涌	3	0	9
-专柜	3	2	10
-永丰县	12	2	0
-举报	10	80	12
-主持	7	112	21
-更进一步	0	0	2
-弹片	1	1	9
-今冬	2	9	0
-下棋	2	6	0
-水痘	9	2	2
-圆心角	1	0	0
-薛庄村	0	0	2
-汇率	87	144	69
-纪律	10	162	32
-仓储	124	236	25
-定量分析	7	27	16
-缴付	1	0	0
-亚型	0	9	1
-忐忑	5	1	5
-海产	6	10	1
-广袤	4	3	1
-代数方程	4	1	1
-编剧	18	35	11
-油炸鬼	2	1	0
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-细小	16	14	4
-两旁	1	0	0
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-油料	19	27	0
-母舰	1	2	32
-亲和	31	42	6
-蒙方	0	1	1
-平果县	16	2	0
-莱茵	128	67	22
-五四运动	9	9	3
-细巧	2	0	0
-罗马尼亚	84	21	2
-给定	3	4	0
-苎麻	39	8	45
-洗尘	1	2	7
-特遣队	2	30	26
-莴苣	87	40	69
-乐手	0	2	4
-乌拉	137	81	21
-南来北往	0	0	1
-油松	15	20	3
-紧逼	4	6	4
-忘情	24	9	5
-络子	0	0	2
-中景	15	12	2
-纯情	45	35	18
-开端	3	6	25
-鹤峰县	26	1	0
-弹球	20	31	115
-黄体酮	5	2	6
-细布	1	0	3
-炮兵师	0	0	4
-活埋	3	1	1
-十字架	37	21	86
-建管	0	1	0
-毛色	0	1	0
-忠心	5	9	9
-缩减	3	3	1
-法工委	0	0	1
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-结局	7	33	122
-萼片	0	1	0
-结尾	1	12	9
-两极	20	10	6
-乡思	1	0	0
-张目	2	1	2
-细川	43	0	0
-中华门	10	6	1
-自然铜	1	0	0
-丧服	3	1	1
-习性	2	8	10
-开立	4	4	2
-毒药	16	12	34
-师风	0	2	0
-细工	1	0	2
-各向异性	14	10	10
-书影	1	17	9
-治本	3	6	7
-研究室	2	11	245
-营生	1	0	2
-木麻黄	5	1	4
-缓和	5	4	4
-死路	4	2	1
-编号	7	25	49
-波纹管	29	90	42
-紧迫	3	1	0
-成群结队	0	0	1
-总和	4	3	4
-书形	2	3	0
-河柳	0	5	6
-大安镇	2	1	2
-油机	1	18	123
-钳制	1	0	1
-永乐乡	0	1	0
-红血球	1	2	0
-气筒	0	1	2
-欢颜	0	5	5
-毒草	1	1	6
-书录	0	14	9
-平口钳	0	0	2
-油杉	7	4	13
-泛指	1	0	0
-歧途	4	1	6
-结对	5	1	1
-迷魂阵	1	0	4
-建筑	3848	8313	836
-从动	7	5	0
-缩写	3	7	11
-开窍	12	24	12
-日月经天	2	0	0
-热气球	9	13	15
-练市	9	1	0
-肝硬化	26	8	30
-以便	1	1	0
-前人栽树	2	0	0
-纸张	85	17	2
-恩人	1	5	6
-乞怜	1	0	1
-沈泉庄村	0	0	1
-恩仇	3	68	26
-中小银行	1	2	0
-产地	11	34	11
-五好	1	4	0
-莲花	402	448	168
-洼地	4	9	20
-编发	0	4	0
-仁化县	10	1	0
-索道	10	16	45
-彼此	4	14	5
-永登	33	2	2
-怀孕	193	229	25
-中旬	1	2	0
-莱芜	144	26	0
-糕饼	0	4	2
-海信	612	34	3
-钢印	3	0	0
-毕节	225	26	0
-糖饴	1	0	0
-正道	17	35	22
-正反方	0	1	0
-钥匙	31	155	198
-救护车	7	6	18
-萧瑟	7	2	5
-忘性	0	1	1
-防城港	29	11	1
-人品	17	14	7
-精彩纷呈	1	2	0
-注意	34	84	36
-结实	4	4	9
-总后	1	0	0
-广角	19	15	11
-从前	12	8	0
-钢叉	1	0	4
-中旅	23	64	5
-干警	0	105	3
-沉沉	1	6	12
-太空车	0	0	1
-仪仗	2	11	2
-理解力	0	3	1
-中方	28	27	10
-举措	2	4	7
-恨事	0	1	0
-建章	4	3	0
-沉沦	15	7	21
-忘怀	2	2	2
-洪大	16	5	1
-沟槽	10	3	2
-日照市	118	3	0
-总合	1	5	0
-沉没	15	28	13
-中断	49	17	0
-纽带	2	9	6
-大中专	3	11	0
-建立	67	298	78
-气窗	0	1	2
-传统型	1	1	0
-莨菪	9	42	8
-苍鹰	14	6	3
-苍鹭	3	1	2
-下榻	1	0	1
-缸体	5	2	1
-团员证	0	0	1
-浙南	11	16	1
-正逢	1	4	0
-丰收	80	41	27
-母草	3	3	23
-求生	29	79	57
-人命	4	6	2
-索要	0	1	0
-河泥	1	0	0
-组团	5	11	18
-报关单	5	12	3
-享受	64	75	15
-洋房	1	5	34
-下机	1	1	0
-仙丹	4	2	37
-油水	15	32	1
-药补	3	8	2
-文艺工作者	1	4	0
-欺骗	21	39	30
-铃儿	5	4	1
-涌动	3	6	4
-落潮	2	3	2
-铜丝	8	7	3
-荒诞	21	9	1
-上来	3	7	0
-书局	2	18	47
-政研室	0	0	1
-锦上添花	5	2	1
-不曾	13	36	1
-替代法	0	0	6
-消化	140	132	24
-仙乐	19	7	1
-三板	16	24	0
-病原体	2	12	9
-交响	43	33	15
-书展	0	3	12
-歌颂	5	1	1
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-步长	6	4	1
-上杭	38	5	0
-不服	4	6	2
-恶习	0	1	3
-拥有量	0	0	3
-他人	9	110	23
-米黄	8	9	18
-波束	8	17	5
-书屋	3	102	70
-下来	1	37	28
-线型	15	16	3
-流寇	4	2	1
-泰斗	1	27	12
-开箱	5	5	0
-绝句	29	60	88
-德文	44	38	70
-绝口	6	0	2
-纽埃	8	18	0
-南昌市	446	10	1
-乔庄	7	1	1
-忧心	4	1	1
-世昌	9	30	76
-水粉	52	77	20
-双铧犁	0	0	1
-一棉	0	2	0
-从俗	3	0	1
-美食家	7	7	9
-开篇	1	2	2
-绥化	55	7	0
-绝后	1	2	4
-绥北	3	0	0
-萌生	5	0	1
-治水	4	30	16
-恰似	6	5	0
-沼气	69	90	5
-消协	0	1	1
-花鼓	17	31	46
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-油污	6	21	1
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-煞有介事	0	0	1
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-中捷	14	15	0
-干贝	272	135	82
-乱子	3	5	3
-登记表	0	1	0
-正门	0	1	2
-产品	657	3219	428
-干货	2	7	4
-海啸	35	32	43
-搜索引擎	86	62	71
-河流	123	84	60
-射精管	2	0	0
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-法桐	3	6	6
-青年人	10	10	3
-乳娘	1	2	2
-精锐	21	70	3
-亦可	2	5	2
-肥皂泡	3	2	4
-法案	0	15	104
-有一手	1	1	0
-怪圈	0	11	30
-粮食局	1	37	203
-经社理事会	0	0	1
-河池	95	16	0
-三替	0	2	0
-线团	1	2	3
-弹琴	6	12	22
-中报	6	5	0
-汇票	10	32	35
-毛虾	2	1	2
-恒利	13	43	7
-户籍警	0	1	0
-同业公会	0	3	28
-卫生所	0	0	16
-三月	90	70	29
-乐平	47	23	43
-京华	163	97	31
-异端	37	10	8
-科学技术	119	1532	46
-审美观	0	4	3
-平谷	67	53	0
-黄浦江	17	6	2
-钱包	7	13	29
-年谱	0	73	162
-三期	7	64	0
-付与	1	3	0
-一样	15	605	145
-摩擦系数	8	36	9
-主意	0	7	11
-方城县	14	4	0
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-上月	7	1	4
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-线圈	17	15	35
-志愿	36	227	75
-白水镇	15	1	2
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-风风雨雨	3	0	0
-广播网	0	1	15
-经商	25	111	15
-乐府	42	63	55
-当然	8	7	1
-他乡	10	7	0
-上期	5	0	0
-河沟	5	32	6
-涨价	7	10	5
-绛县	38	5	2
-心脑血管病	21	19	1
-油毡	1	5	3
-乖巧	1	1	1
-仗义	5	1	6
-上朝	3	1	0
-下月	1	2	0
-打字员	0	1	9
-沸水	7	5	2
-德政	11	19	18
-临战	3	2	0
-油气	258	311	10
-派对	45	81	201
-催人泪下	1	2	0
-蛋黄粉	0	1	1
-池盐	0	0	2
-下期	4	0	0
-河沿	4	31	8
-排卵期	5	0	1
-上机	9	446	4
-云团	0	3	8
-纪委	6	44	12
-中指	16	3	0
-菌类	4	7	16
-财政部	119	128	8
-大丈夫	7	3	0
-世族	2	1	7
-云蒸霞蔚	0	1	0
-人化	5	13	7
-知心话	0	2	2
-绝品	11	1	0
-专权	6	0	10
-忧患	6	10	6
-泡桐	25	6	18
-沟灌	0	0	3
-乖张	0	0	1
-帮闲	2	0	1
-茶道	40	30	44
-一概	3	0	1
-上桌	0	0	4
-洒扫	3	0	1
-小萝卜头	1	1	1
-蒲扇	1	2	1
-专机	1	65	5
-东映	6	1	0
-绝响	1	0	6
-平均利润	1	1	0
-淬火炉	0	0	5
-干路	3	0	1
-油流	4	2	2
-弹痕	3	0	0
-恼人	5	2	1
-异类	11	4	7
-测定	10	1351	568
-平足	3	0	0
-东晋	108	17	5
-约定	38	46	125
-富阳市	57	5	0
-铁力	35	10	7
-红尘	85	64	100
-大中华	46	23	0
-游园会	1	0	8
-沼泽	135	51	94
-足智多谋	0	2	1
-以东	3	4	0
-武陵	92	48	13
-河渠	4	7	0
-他俩	1	0	2
-荣誉	115	121	62
-争夺	10	18	12
-恐吓	10	3	1
-沿河	38	22	6
-举手	11	5	9
-亲吻	46	15	24
-以下	2	41	10
-怨声	3	0	0
-河港	0	3	3
-以上	0	64	12
-玛雅人	6	4	2
-白三烯	2	0	0
-气腹	1	0	0
-上棉	1	0	0
-重要性	3	8	5
-纤小	1	1	0
-液体	303	293	38
-义愤	2	0	1
-介入	58	227	21
-以为	5	51	7
-针头	5	6	4
-忧愁	5	6	6
-毛衣	26	207	94
-殿试	1	3	1
-济宁	475	57	2
-怒容	1	0	0
-粮食	139	456	13
-绝唱	5	16	29
-纤尘	2	0	1
-代书	8	12	4
-红学	20	18	17
-鸡内金	15	13	1
-学生证	2	2	2
-亲历	123	166	22
-忧思	2	15	6
-脱衣舞	3	1	0
-治污	0	0	1
-名胜古迹	2	7	13
-中短波	0	2	0
-东方	2095	3220	145
-结喉	1	1	0
-仙人	179	140	48
-泰明	2	10	6
-中排	3	0	0
-鹏程万里	4	6	1
-蓝岛	5	7	4
-交售	0	1	0
-此间	8	2	0
-沸泉	1	1	1
-恶人	10	4	14
-买客	2	1	3
-红安	47	5	7
-洞悉	10	26	0
-繁杂	0	0	1
-忘我	3	3	1
-损失率	0	0	10
-乐律	5	9	1
-河海	92	26	4
-铜仁	86	16	2
-年货	2	32	7
-人力	793	1724	0
-九州	301	181	56
-治沙	2	25	2
-德昂	5	8	4
-滴虫病	0	0	8
-弊端	0	2	2
-正阳	60	66	18
-强生	64	26	11
-纠察	3	1	1
-涵义	0	1	0
-紧要	0	3	2
-市场准入	6	27	2
-专有	9	5	0
-幽谷	39	14	19
-消受	0	1	1
-上校	11	19	16
-引种	0	52	6
-残酷	70	34	5
-油泥	6	6	2
-仓促	1	0	0
-水系	16	26	34
-下标	1	2	0
-序言	0	3	2
-亲友	8	12	7
-京味	43	8	0
-买家	2	14	11
-油菜籽	2	5	0
-井场	0	2	0
-油泵	5	67	108
-茵陈蒿	13	4	1
-微机	282	160	2
-恭候	1	0	0
-涉县	43	4	0
-忻州	97	16	0
-荒谬	8	6	3
-井坂	3	0	0
-泡泡糖	4	3	11
-幻象	21	25	39
-测字	5	5	4
-亲口	0	4	0
-巢鼠	1	1	0
-三桥	32	29	0
-暖洋洋	4	4	2
-气胸	0	0	7
-纳妾	10	1	3
-察哈尔省	2	0	0
-涉及	6	22	0
-治治	0	0	1
-并购	64	258	0
-护国运动	0	0	2
-芳龄	2	0	1
-终场	0	1	1
-蓝山	65	41	32
-瓯海区	7	13	0
-华盛顿	153	79	35
-快快	10	35	1
-纸头	0	1	0
-浮土	1	0	0
-席间	0	2	0
-念念	4	0	4
-柠檬茶	2	0	19
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-结成	2	4	1
-什么	120	697	530
-毒贩	1	3	1
-维希	4	116	24
-汉纳	4	8	4
-一斑	1	0	5
-主干	10	106	2
-大中型	29	22	0
-下摆	2	2	0
-中性	160	71	9
-猪笼草	5	1	168
-铁器	3	4	16
-绝情	30	16	1
-铜匠	4	0	0
-引渡	10	34	3
-开炮	0	2	3
-蓄水	14	11	2
-彗星	52	26	145
-东西方	33	42	1
-纤柔	2	1	0
-仁义	30	23	31
-浓度	13	122	114
-转型期	88	100	0
-人伦	6	6	3
-沙田	61	47	5
-书套	0	0	1
-素雅	1	2	5
-罗列	2	11	2
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-汇编	8	711	1261
-续建	2	4	0
-浮子	13	19	6
-泡汤	0	1	2
-红树	31	39	6
-液化	73	68	28
-永胜	33	26	80
-正骨	20	74	11
-氯纶	0	1	0
-海图	24	15	17
-济阳县	23	0	0
-结拜	2	3	0
-紫阳	80	48	10
-不惟	1	0	0
-红棉	18	13	3
-毛裤	0	0	1
-纯朴	0	0	3
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-张家界	425	37	10
-晚生代	1	0	0
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-丰岛	7	8	2
-菠萝	541	337	62
-乌头	52	41	251
-不惜	3	0	0
-沼液	5	1	0
-交互	61	108	11
-油渍	7	2	0
-方格纸	1	0	0
-洪恩	28	12	25
-猎潜艇	0	0	7
-当权	2	0	2
-浴场	3	8	128
-归来	34	91	225
-民船	1	1	1
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-毛装	0	0	1
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-自贡市	124	7	1
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-事关	4	1	0
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-一手	19	23	8
-义女	0	0	2
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-正面	61	44	4
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-强横	1	0	0
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-注射器	2	2	19
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-毛袜	0	1	1
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-思亲	3	3	2
-不悦	0	0	6
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-二元	11	13	0
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-之外	0	45	52
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-圆周运动	0	0	1
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-当月	4	2	0
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-事儿	1	139	278
-红桥	20	39	13
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-床罩	0	1	0
-洗手	21	34	3
-徐徐	2	1	1
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-网协	0	1	0
-归期	0	1	2
-内置式	8	3	0
-不息	3	7	20
-京东	65	24	11
-气节	2	2	3
-水红	9	3	1
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-二分	34	13	0
-薄冰	26	5	2
-洞房	10	11	9
-泄洪	5	5	1
-徘徊	30	18	18
-网吧	58	75	35
-不慎	0	2	0
-严以律己	2	0	0
-自然课	0	0	3
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-正音	5	15	7
-铁块	0	2	1
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-主宰	17	26	23
-一拖	8	5	1
-乐天	51	57	33
-四氯化碳	2	0	0
-乡土	102	133	5
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-明争暗斗	1	0	1
-气色	5	3	1
-浩大	4	7	0
-葫芦蔓	1	2	0
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-浓密	4	6	0
-南门湾	1	0	0
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-交代	19	11	5
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-丝弦	5	4	10
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-河滩	9	16	1
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-急件	0	0	3
-薄利	2	1	3
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-中州	87	75	10
-性交	11	5	7
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-银元	8	6	12
-红旗手	0	0	2
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-二则	1	2	9
-统战	2	18	0
-菩萨	306	236	240
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-钟山	99	97	17
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-流弊	0	0	1
-此风	1	0	0
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-快嘴	4	1	0
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-水罐	4	9	5
-彩旗	2	1	2
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-浮夸	0	1	0
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-彩旦	0	1	0
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-泪液	3	1	1
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-五中	0	29	330
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-比较	304	1072	303
-柠檬精	1	1	0
-齐岳山	2	1	0
-海岸	132	442	335
-泱泱	4	0	5
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-乱动	0	2	2
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-不廉	1	0	0
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-上当	5	14	3
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-芦山县	7	0	0
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-航空局	1	0	2
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-坚持不懈	0	1	0
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-水葱	0	0	4
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-专座	0	0	1
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-错位	29	11	29
-五伦	1	7	3
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-两岸	91	318	13
-业已	0	1	0
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-东巴	61	37	4
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-西孟加拉邦	0	1	0
-经幡	0	0	2
-相对主义	1	4	6
-不忍	7	19	0
-徭役	0	0	2
-绑带	5	2	1
-钵子	0	1	3
-自信心	3	5	5
-渐进式	15	3	0
-泾河	27	6	0
-西安市	579	8	1
-勤政廉政	0	1	0
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-有志于	0	2	0
-严峻	2	2	1
-缩印	1	5	0
-全国人大常委会	11	0	0
-中尉	1	5	17
-不快	0	2	1
-比邻	7	7	0
-主婚	0	0	1
-添丁	2	3	7
-中将	0	6	17
-怎么着	0	0	1
-继室	2	0	0
-油田	112	428	84
-互信	2	5	1
-中小	74	42	1
-乱发	1	0	0
-丝巾	20	14	11
-泽泻	30	21	11
-奥迪车	4	5	0
-卫生棉	3	4	2
-银号	1	2	19
-得手	1	0	0
-终归	3	0	0
-蒜泥	137	43	3
-引爆	56	40	10
-丰富	23	27	4
-沥青路	31	35	0
-药酒	10	46	134
-海带	460	484	151
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-欧姆表	0	0	1
-菠菜	588	524	335
-不怕	27	60	0
-细心	2	4	3
-丝带	32	40	35
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-书商	2	3	1
-钻孔	52	39	3
-经度	5	2	7
-教育课	0	8	0
-测控	38	311	9
-油画	99	335	93
-汗脚	0	1	0
-莱西	61	79	27
-年薪	2	21	8
-铝土	1	1	3
-细微	6	15	2
-进水闸	0	0	2
-中层	47	57	0
-牛仔裤	12	8	30
-添乱	0	1	0
-亚伦	44	13	17
-微微	15	13	14
-徽州	170	66	21
-菖蒲	54	23	40
-回收期	1	6	7
-五保	3	34	0
-豆腐渣	13	3	15
-义士	5	12	7
-银发	22	13	3
-总产	1	2	0
-争先	3	4	6
-指挥舰	0	1	7
-毗邻	9	8	1
-毒酒	0	1	4
-征收	8	457	18
-东平	97	18	50
-喜马拉雅山	11	7	3
-临安	145	64	5
-温故知新	2	2	0
-殷钢	1	0	0
-汉英	204	494	37
-工艺学	0	112	253
-恐怖主义	13	38	16
-临客	3	1	2
-海床	3	0	0
-中山	840	656	0
-海底	451	372	19
-争光	5	2	9
-宋庆龄	57	19	4
-乘坐	2	4	2
-彼时	4	0	2
-汨罗	26	4	0
-实事求是	11	2	0
-莲藕	376	359	172
-总会	5	54	460
-两委	1	2	2
-大个子	12	2	3
-比起	1	0	0
-群众运动	1	0	0
-泡泡	293	403	181
-一带	2	5	0
-上峰	12	3	7
-锋利	9	7	3
-强渡	8	6	0
-征文	1	53	7
-背水一战	2	0	6
-怒号	0	0	1
-罐体	2	0	0
-总价	3	1	0
-残阳	10	7	18
-比赛	19	156	309
-萤石	9	10	7
-主因	0	1	0
-乏味	0	0	1
-摇滚乐	8	11	6
-斯威士兰	15	1	1
-锋刃	1	2	5
-液压	597	1056	15
-专家	359	1446	351
-月工资	0	1	1
-菊苣	12	5	9
-菜肴	15	50	35
-工艺师	0	3	8
-菊花	469	369	78
-亚特兰大	32	19	1
-浮尘	4	3	6
-灰飞烟灭	1	0	1
-底色	4	2	9
-总体	45	179	8
-往时	0	0	1
-接力赛跑	0	0	5
-人生路	1	9	13
-世家	31	243	383
-锁匠	0	0	2
-怒吼	8	7	31
-书刊	12	26	2
-丫头	19	77	79
-往日	12	7	4
-茶钱	0	0	1
-泥沼	1	0	1
-物尽其用	2	0	0
-钦差	1	3	10
-求职	125	303	15
-菊芋	5	6	1
-注水	27	14	13
-书函	0	4	0
-转基因	89	45	2
-主动脉	45	31	3
-中士	1	5	10
-主场	6	9	5
-铺叙	0	0	1
-张三李四	1	0	0
-多弹头	2	4	3
-乒乒乓乓	3	0	0
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-锉刀	0	0	4
-没用	2	0	1
-河狸	10	6	9
-缓坡	0	2	0
-协奏曲	3	54	141
-海水面	0	0	2
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-羊毛衫	13	14	1
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-长崎县	3	1	0
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-浮屠	7	9	13
-绳子	2	26	13
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-菌草	4	1	1
-一度	20	12	8
-残雪	7	7	11
-中央	1413	1328	36
-彩棚	0	0	1
-中天	223	404	22
-乘号	0	0	1
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-中大	99	115	5
-布拉格	87	44	22
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-纷扰	1	3	2
-彩棉	2	11	2
-滑石片	2	0	0
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-泥泞	4	1	0
-琵琶骨	0	0	2
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-二七	32	75	3
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-世局	0	0	3
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-米糠	10	0	2
-沙船	2	3	7
-涡扇	6	10	0
-京师	52	31	0
-汉语	789	2068	146
-产床	0	1	5
-消散	1	4	32
-丰泰	23	39	4
-仿古	65	105	3
-仁学	4	7	4
-浅海	20	4	0
-人居	26	81	0
-临汾	121	33	3
-仙境	76	77	113
-不然	1	0	2
-应付	31	11	3
-镰刀	45	41	19
-席子	6	0	0
-咸宁市	41	2	0
-临沂	749	122	8
-伏击	6	8	2
-长假	4	9	4
-铁杉	3	5	19
-就餐	0	11	1
-无线电波	6	3	1
-饮食业	5	8	0
-锤子	7	6	11
-运输车	0	28	129
-海松	4	33	22
-争执	2	1	1
-临河	35	26	2
-府上	3	2	0
-任命	0	0	3
-主殿	2	1	0
-药房	9	61	76
-举止	6	2	5
-帘布	1	0	3
-河网	2	6	8
-企及	1	2	4
-中海	263	100	0
-港元	2	1	0
-帮子	0	9	5
-籼稻	0	1	0
-左手	218	60	13
-上班	58	52	25
-湘云	7	9	18
-铺张	0	0	1
-仁川	27	14	6
-局长	12	37	41
-天下太平	0	1	1
-粉碎	44	56	23
-白求恩	24	31	6
-花篮	32	28	27
-维也纳市	1	0	0
-亲征	0	5	1
-伸伸	0	0	1
-郎才女貌	1	0	0
-小鬼	109	43	26
-从小	47	38	0
-错字	1	10	4
-观礼台	0	0	1
-港协	0	2	0
-济源	134	22	5
-镜匣	2	0	0
-一生	489	1853	0
-互换	39	46	38
-湘乡	40	6	1
-乱来	1	0	7
-线形动物	2	0	0
-上议院	1	0	2
-气锅	5	3	1
-游动	15	22	0
-乐段	0	0	4
-粤方言	0	5	1
-工商业	8	166	1
-下坡路	0	1	1
-临漳	8	4	0
-鸭绿江	22	21	4
-开发部	0	2	4
-之江	15	52	0
-年关	5	11	0
-干冰	5	4	0
-傈僳族	16	35	2
-北仑港	0	0	1
-油脂	47	291	24
-相对论	29	30	64
-花箭	1	0	0
-巧手	142	114	3
-长亲	0	0	3
-浑源	22	6	0
-仓容	2	0	0
-淮安	307	67	2
-下班	17	14	7
-伟力	3	12	13
-年光	1	2	0
-伶俐	7	6	20
-洋相	1	2	1
-氰酸	5	154	9
-从属	16	4	0
-并入	0	1	0
-他家	0	3	0
-浦江	183	70	5
-庇佑	0	3	3
-没落	3	6	14
-浮动汇率	2	5	5
-达赖喇嘛	4	21	11
-花粉	50	68	58
-众口	17	1	0
-会厌	8	1	0
-监护人	2	4	12
-伪军	0	3	0
-胡同口	0	1	0
-活到老	4	0	0
-平凉	98	15	1
-茶汤	3	1	20
-幻像	3	2	6
-花籽	0	4	5
-舞蹈	163	830	241
-渔场	8	7	71
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-干净	6	12	11
-钻机	5	13	94
-水酒	1	4	0
-气锤	1	0	0
-干冷	3	1	0
-匆匆忙忙	1	3	0
-传动	39	567	113
-港口	197	209	32
-尾闾	8	0	0
-乌江	58	52	9
-经得起	2	12	0
-仙子	18	193	164
-巡捕	1	5	3
-不理	1	10	0
-温和	21	14	1
-复活节	93	24	12
-年内	0	6	0
-带子	30	31	0
-苦痛	8	5	2
-油膏	1	3	33
-简明扼要	1	0	0
-母鸡	44	62	77
-药效	6	13	3
-茶水	10	6	1
-长住	2	1	1
-人形	55	41	23
-茸毛	8	2	0
-人影	6	4	3
-交战	3	2	6
-会友	8	3	6
-正确性	0	0	1
-平分	2	23	7
-浇灌	0	3	3
-素有	0	2	0
-带孝	0	0	1
-油腻	5	1	1
-素服	0	0	1
-脊椎炎	0	1	8
-涉案	3	23	0
-求进	2	1	1
-艺苑	30	48	30
-常备	3	47	1
-平凡	91	95	47
-江豚	3	0	9
-物价局	0	43	149
-花生仁	19	6	18
-临潼	37	29	0
-荚果	4	3	0
-书楼	0	2	9
-锅巴	45	31	62
-浩气	12	1	3
-自主权	0	2	8
-用材林	0	4	1
-沸腾	60	32	40
-典型性	0	6	1
-幸免	1	0	0
-长传	3	1	6
-号召力	0	1	0
-浙江	6311	632	30
-幽会	2	0	6
-会刊	0	1	13
-长上	4	1	0
-长三	3	2	1
-不在乎	2	0	12
-帘子	5	5	5
-节肢	6	19	1
-科托努	3	0	0
-书柜	0	1	3
-银座	61	121	54
-伐区	1	0	1
-今宵	8	4	5
-庄严	28	50	9
-艰苦	6	4	1
-节育	4	17	2
-游兴	2	0	0
-仙姑	19	21	17
-桦树街	0	1	0
-水边	21	6	4
-舾装	4	6	5
-消暑	17	15	0
-书架	9	105	51
-伞兵	4	46	9
-市川	37	22	0
-巨无霸	16	12	22
-估估	0	0	1
-浑浊	4	2	6
-荆棘	54	17	13
-水运	41	70	1
-急于求成	0	0	1
-不独	0	1	1
-肯尼亚人	0	0	1
-浓浓	2	2	1
-亚麻布	2	0	0
-呱呱叫	1	2	1
-投入品	0	2	3
-布帛	1	0	1
-会前	0	1	0
-精煤	1	5	0
-伊吹	21	0	6
-丑牛	0	0	3
-舍身	9	3	0
-荒村	14	1	26
-人工	492	232	1
-咨询团	0	1	0
-主流	46	154	18
-油耗	6	4	14
-浅滩	2	5	20
-幼体	6	7	35
-幕后	24	61	21
-布市	0	49	6
-临清	124	20	2
-铸币	9	10	9
-海棠	126	179	164
-市布	0	10	0
-河肥	0	1	0
-草案	0	75	49
-港务	6	89	1
-灌注桩	3	9	14
-下狱	0	0	1
-高高的	6	4	0
-钢梁	1	0	1
-银幕	22	14	17
-糖萝卜	0	1	1
-草根	163	78	64
-素数	15	14	48
-传入	1	8	0
-不犯	2	5	2
-供水量	0	0	6
-亏损	9	13	19
-丰满	23	19	3
-帆布	13	27	4
-电教片	0	0	1
-莱山	13	11	5
-良药	3	2	18
-尖扎县	3	0	0
-红富士	4	2	2
-永远	373	225	86
-审计师	4	25	6
-交情	0	2	7
-书案	0	0	8
-义母	1	0	0
-优势	75	275	183
-书桌	4	3	10
-热处理	74	139	71
-从容	26	21	27
-从宽	1	1	0
-密集型	6	23	0
-阿图什	13	9	0
-渭北	6	2	0
-花筒	0	2	3
-专版	0	5	7
-湖东	18	26	0
-荔枝	268	159	117
-茶歌	2	0	6
-图兰朵	5	0	2
-菜地	6	13	1
-中演	1	2	0
-水道	11	36	58
-优劣	1	5	5
-伍号	0	0	1
-热转印	41	8	2
-菜场	0	0	4
-活火	1	1	0
-铺床	0	1	0
-温厚	2	0	1
-草棉	1	1	0
-白三叶	5	0	0
-苯环	3	5	0
-工房	0	13	26
-浓淡	2	0	0
-乱杂	2	0	0
-五指	73	26	1
-菜圃	1	0	1
-乐歌	2	1	7
-花笺	1	2	7
-温台	2	0	0
-优化	55	1054	300
-长久	9	15	32
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-消极	44	10	0
-绿头鸭	4	0	1
-古文化	2	102	4
-苦瓜	532	310	439
-布庄	1	0	0
-侦察员	2	0	3
-巡护	0	0	1
-节能	277	1637	77
-伴侣	14	99	188
-伍员	2	0	0
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-巡抚	2	12	14
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-以外	2	14	5
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-混居	0	1	1
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-浮泛	1	0	0
-常年	13	8	3
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-以后	6	127	80
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-严正	11	1	0
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-法老	65	35	13
-渔妇	0	3	1
-浩渺	2	2	2
-呼吸器官	0	0	1
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-伍余	1	0	0
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-份儿	1	0	6
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-布料	9	26	8
-马尔维纳斯	8	0	0
-芭蕾舞	14	20	11
-菜刀	19	7	18
-铁汉	14	7	16
-浓烟	4	0	0
-下游	10	71	1
-紧握	1	5	0
-渔夫	70	24	26
-结合部	0	3	3
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-主桥	0	1	0
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-油茶	48	32	48
-海水	300	232	38
-金本位	0	1	0
-长啸	6	0	6
-格物致知	1	3	0
-连锁反应	2	2	11
-工棚	0	1	0
-剥削阶级	0	0	1
-溢流坝	0	0	1
-山门	15	24	12
-钠灯	0	4	6
-包心菜	7	3	19
-康佳	555	18	3
-景颇族	14	13	1
-山间	16	6	3
-人大	41	674	9
-东汉	297	46	15
-巴望	0	1	0
-精炼	8	47	16
-浩淼	2	5	6
-辉县市	29	4	0
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-亲娘	1	1	2
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-花白	6	18	6
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-任免	1	20	3
-人夫	0	1	2
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-涡旋	17	10	8
-凡夫俗子	0	3	0
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-妇产医院	0	5	140
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-乌拉圭	44	7	1
-仰光	9	3	3
-民防	8	48	3
-三流	13	3	0
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-芒硝	3	3	5
-草房	3	6	5
-金刚砂	8	4	2
-矢车菊	6	7	21
-铝材	16	35	18
-巴方	2	4	0
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-气阀	2	7	12
-活版	0	11	0
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-上流	18	24	0
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-气闷	1	0	0
-气闸	2	1	0
-上浆	5	3	0
-产婆	5	0	0
-铭文	5	52	37
-感冒药	3	1	3
-不法	6	1	0
-深层	40	137	0
-主权	44	59	22
-错怪	0	1	0
-长发	37	35	42
-法纪	0	2	0
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-压缩空气	29	6	0
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-虎林市	6	1	0
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-新大新	1	9	0
-床单	6	3	6
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-长叹	0	0	4
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-以前	5	70	9
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-巴新	4	4	1
-代劳	1	1	0
-岔道	3	1	2
-云岭	31	32	14
-仿佛	11	1	0
-糖汁	6	1	8
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-瓦加杜古	2	0	0
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-尾骨	5	14	7
-自负	7	5	4
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-自责	1	1	0
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-幸喜	0	0	1
-巡查	5	10	0
-土沟村	0	0	6
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-五峰	87	33	3
-以北	0	3	8
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-葡萄汁	5	3	22
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-下浮	3	1	1
-浮沉	20	24	16
-平四	0	9	3
-罗布麻	21	19	5
-小说集	0	21	78
-致谢	0	0	1
-仲冬	5	1	1
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-书报	4	22	1
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-帷幕	6	4	13
-伍乡	0	0	1
-花甲	20	21	38
-沙虫	14	6	11
-卡尔加里	11	6	0
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-草拟	1	0	0
-闪光弹	1	0	0
-希捷	26	2	1
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-五岳	48	29	0
-激素类	2	6	1
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-下流	12	5	0
-活物	0	1	1
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-法线	3	1	3
-结售汇	3	8	0
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-幌子	0	0	1
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-锥形	47	34	1
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-深山	60	35	4
-油船	3	5	11
-素描	285	1010	264
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-亲生	1	5	0
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-帛画	6	6	24
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-荒淫	2	3	2
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-花腔	5	2	2
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-开外	1	0	0
-下装	0	3	4
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-建委	2	7	2
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-乃至	0	0	1
-精卫填海	0	0	3
-抬轿子	0	0	1
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-当作	1	14	0
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-江都	171	39	0
-乡级	3	2	0
-箭鱼	4	1	4
-比翼双飞	2	1	0
-链条	28	38	20
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-涎水	1	0	0
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-乳粉	2	1	19
-长城	694	513	238
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-海滨	112	273	93
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-战争狂	2	6	0
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-侄子	1	1	1
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-卢瑟福	11	1	6
-乒联	0	3	0
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-铁炉	24	7	5
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-临界角	0	0	1
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-苏绣	9	10	4
-从犯	1	0	2
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-不治之症	0	1	0
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-粼粼	1	1	3
-定州市	20	2	0
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-强压	10	0	0
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-镯子	0	0	3
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-荤油	2	0	1
-荒滩	1	1	0
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-长女	2	0	0
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-清廷	6	3	2
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-事端	0	0	1
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-弹匣	0	1	5
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-令牌	11	4	22
-保单	25	3	15
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-粗细	4	1	0
-二簧	0	1	2
-塞纳河畔	8	3	2
-泪花	1	1	0
-花菜	43	41	118
-不翼而飞	0	0	1
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-荒火	2	1	1
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-钟爱	13	25	1
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-泰航	0	2	1
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-海关总署	8	6	2
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-江河水	3	5	3
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-海獭	7	1	8
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-弟妹	1	0	4
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-深海鱼	2	2	0
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-海狮	15	26	35
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-座标	1	1	2
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-闪亮	87	60	8
-江铃	21	10	0
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-银河	405	321	50
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-式子	0	2	1
-钢盔	6	1	8
-千瓦小时	0	0	1
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-广泛	8	12	0
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-企望	1	0	1
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-春风吹又生	0	0	1
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-干渴	2	0	0
-锡杖	1	1	9
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-错案	4	11	1
-花糕	0	4	30
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-浮现	2	3	3
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-锦标	2	5	23
-钢砂	0	4	2
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-粮站	0	1	1
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-河谷	21	72	63
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-康柏	12	13	1
-素洁	0	1	7
-闹事	1	0	1
-帐篷	17	44	45
-江陵	48	20	6
-必争之地	1	0	1
-闽东	45	20	1
-乌纱	5	3	2
-棉铃虫	7	0	8
-苏格兰	134	32	4
-待人	9	3	6
-剃须刀	0	40	24
-书签	4	6	20
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-宋江起义	0	0	1
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-使女	0	1	1
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-交班	0	1	1
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-锥栗	2	1	6
-中高档	1	0	0
-泻药	0	1	0
-伊林	10	7	8
-压强计	0	0	1
-待产	2	1	1
-汗青	5	2	7
-庐江	76	23	0
-亲爱	246	113	4
-何干	3	0	4
-登记本	0	0	1
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-问候	1	4	15
-乳酸菌	22	12	8
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-丛葬	0	1	0
-间作	1	6	7
-洋腔	0	1	0
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-港币	2	4	0
-支队长	1	0	0
-营养	496	1982	173
-征伐	1	1	9
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-弟媳	0	1	0
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-航路	5	12	7
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-铁环	0	2	5
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-清洁度	0	8	1
-淡月	1	1	1
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-乙类	12	3	3
-洞纺	0	1	0
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-没趣	2	0	1
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-已经	6	30	0
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-以此	1	2	0
-清扫	9	25	3
-低度	8	1	0
-苍穹	71	80	111
-形制	1	9	7
-幽深	3	5	0
-温带	43	13	4
-往事	105	205	343
-过眼云烟	1	0	0
-芋艿	46	23	35
-工联	1	10	4
-东莞	2373	306	7
-虎林园	0	0	4
-渺小	0	2	2
-平均价	0	0	4
-强国	17	50	0
-开市	5	4	2
-钢瓶	6	16	5
-马尼拉	43	12	1
-影业	1	72	33
-常理	1	3	2
-作废	1	0	3
-涨潮	5	1	1
-井盐	1	4	3
-芍药	73	97	26
-丰茂	3	2	1
-异客	2	4	7
-余弦	3	10	4
-人物	170	1997	478
-干洗	11	19	13
-例外	18	10	10
-众望	8	15	4
-香菊片	0	0	1
-前前后后	1	2	7
-低息	0	1	0
-佣工	1	0	2
-中药	513	563	73
-落体	1	13	4
-针砭	0	0	2
-洋芋	64	44	40
-江面	2	0	0
-和平门	2	1	0
-海疆	6	9	0
-东西部	5	12	0
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-浇筑	5	5	8
-雄才大略	1	5	2
-骨膜炎	2	1	9
-会晤	1	13	10
-目录学	7	9	8
-萝卜	897	1254	564
-信义	62	43	13
-当兵	6	3	7
-西子湖畔	6	1	1
-溜冰	11	0	6
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-范畴	12	73	29
-侨商	2	15	0
-粘稠	3	5	3
-以法	7	5	0
-洗胃	2	1	2
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-获得	17	95	8
-佳宾	0	1	2
-平河	14	12	6
-干法	25	46	3
-菜子	16	7	24
-礼品盒	0	3	4
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-洒脱	1	7	3
-花红	21	37	8
-彩云	77	90	48
-中苑	7	14	8
-当儿	0	1	2
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-一行	21	11	19
-侵占	4	6	4
-镗床	2	11	30
-便利	45	100	17
-归公	0	0	3
-上蜡	1	0	0
-俄军	5	1	0
-药枕	2	0	5
-大篷车	0	0	11
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-度假村	9	101	1204
-高山仰止	2	0	0
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-侄女	2	1	3
-川红	10	3	2
-开学	52	15	4
-洗肠	3	1	0
-铸模	3	38	3
-三心二意	1	1	0
-花纸	2	5	4
-湖北省	1163	73	0
-花纹	29	278	35
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-床榻	1	2	0
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-河豚	28	12	22
-代沟	1	4	3
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-下蛋	1	6	8
-观后感	0	8	2
-落伍	5	1	2
-总督府	2	6	14
-俄共	2	2	0
-付清	3	0	1
-溜光	3	0	0
-主脑	1	0	1
-法衣	1	1	10
-沉醉	45	12	6
-侵华	26	45	1
-传教	2	20	3
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-享用	3	5	1
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-不行	4	7	16
-荒沟	3	1	0
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-荒沙	0	1	0
-渔捞	1	0	0
-一角	16	11	13
-巨细	1	0	1
-一览	11	14	7
-游弋	1	1	1
-浴盆	3	2	21
-人猿	22	4	1
-精盐	1	3	0
-平淡	10	12	6
-独辟蹊径	1	0	0
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-铁片	1	2	16
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-龙南县	40	0	0
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-勤政殿	0	1	2
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-获悉	0	2	0
-大帽子	1	0	0
-平添	0	1	0
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-干渠	0	6	17
-弱国	3	1	0
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-淅沥	1	2	0
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-葡萄园	19	6	32
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-自传体	2	3	1
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-干涸	8	2	1
-舵轮	0	0	1
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-上街	23	14	7
-录制	0	13	4
-归功	0	1	0
-溢出	9	34	16
-上行	38	25	0
-云石	18	18	16
-侍女	1	12	3
-长宁	56	43	9
-降压片	0	1	16
-淳朴	1	0	0
-北京路	23	33	0
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-优柔	10	0	2
-长安	500	375	114
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-规模化	25	14	0
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-干活	4	0	0
-玫瑰露	9	1	5
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-体态	7	9	1
-富锦市	20	0	0
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-海盆	1	1	25
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-不肖	1	5	1
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-不胜	10	12	0
-云烟	11	4	19
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-喀麦隆共和国	0	1	0
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-海盗	372	315	177
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-汽锤	0	1	0
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-海盛	1	79	2
-浆糊	6	0	9
-仟村	0	1	1
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-人母	0	1	0
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-依偎	2	0	1
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-何妨	5	0	6
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-以期	1	0	0
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-质谱仪	2	3	29
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-优惠	32	153	28
-下腹	2	0	0
-何如	17	5	0
-最低点	0	2	2
-绥化市	40	0	0
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-休战	4	5	5
-淘气	95	58	6
-州界	0	1	0
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-以来	0	224	7
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-布点	0	4	1
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-开列	0	1	0
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-淋浴	12	36	0
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-侍卫	10	12	17
-河边	36	54	9
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-消痰	10	9	0
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-遗腹子	0	1	0
-印花布	0	6	23
-色酒	0	2	1
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-人治	1	4	0
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-舌咽神经	2	0	0
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-闭合	46	26	1
-桃源县	35	1	0
-透明漆	0	0	1
-弦乐	15	31	0
-土库曼	12	1	1
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-弄弄坪	2	0	0
-问句	1	2	2
-苜蓿	65	28	36
-纯文学	0	0	2
-亡灵	95	65	33
-丘脑	7	2	5
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-亚麻油	5	2	1
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-色釉	2	14	10
-问及	0	1	0
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-废弃	44	22	1
-阅兵	5	18	38
-乳牛	2	11	5
-大马力	1	0	0
-何在	3	3	9
-锅炉	314	649	215
-开卷	31	9	4
-吞噬细胞	1	1	2
-冠军赛	0	19	36
-体坛	22	21	0
-上缴	4	1	0
-乌盟	3	1	0
-粘膜	16	59	2
-下线	0	13	5
-开化	48	24	6
-例假	0	0	1
-从未	15	16	0
-可控硅	24	2	5
-应急	221	1218	15
-三维	391	398	14
-铠甲	179	31	38
-繁丽	0	0	1
-负责制	0	3	18
-船长	31	97	66
-从权	1	0	4
-洗衣	33	55	8
-茶盘	6	6	13
-深深	25	18	14
-平摊	1	1	0
-侄儿	1	0	2
-中立	19	39	38
-和平鸽	1	0	4
-深渊	77	22	43
-交汇	4	20	9
-苋菜	106	85	109
-长成	1	10	20
-沉香	165	38	28
-混浊	2	2	7
-办公会议	1	25	2
-侍候	0	1	0
-会师	8	29	0
-花蜜	9	100	0
-清平乐	125	2	1
-开发	116	8510	1199
-底情	0	1	0
-帮派	6	10	6
-清水	326	148	35
-防火墙	25	36	120
-订书机	0	0	8
-佳句	0	23	16
-温柔	108	86	133
-依从	1	2	0
-香榭丽舍	3	6	2
-度度	1	1	5
-萨姆	168	137	22
-习用	0	2	0
-中策	11	16	2
-落地	62	56	42
-伏尔加	22	6	3
-银狐	29	6	6
-著名	74	715	0
-蜘蛛网	0	6	6
-引入	10	18	3
-感光纸	0	0	1
-苦胆	3	1	2
-余地	3	1	3
-庇护	19	11	13
-干支	19	20	1
-知人善任	1	6	0
-代数	53	345	108
-开口	76	58	0
-钉耙	3	1	2
-绿林好汉	1	0	0
-优异	6	10	0
-损失费	0	0	3
-清汤	202	47	101
-糠秕	8	1	1
-清江	121	61	35
-神经过敏	0	0	1
-齐东野语	2	0	0
-凸透镜	5	0	3
-麻醉剂	0	0	3
-体型	4	22	14
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-开原	19	3	0
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-西峡县	18	3	0
-船闸	17	6	22
-沦陷	5	22	15
-法郎	6	9	19
-上网	56	278	100
-中等	591	1191	0
-湖南省	1236	102	0
-深谋远虑	1	1	0
-代收	9	7	2
-开县	57	39	2
-闸口	11	19	0
-四环素	11	11	12
-混淆	9	13	16
-侠义	36	27	1
-会庆	0	0	5
-北海道	78	25	5
-怦然心动	2	1	1
-无所谓	1	0	13
-心想事成	16	15	5
-闽南	141	57	1
-三美	6	16	4
-视力表	1	2	12
-异名	3	6	12
-医学会	0	34	54
-研讨会	0	333	224
-异同	3	17	7
-火箭弹	5	2	14
-秋田县	3	1	0
-琼山市	1	0	0
-宜丰县	18	0	0
-香酥鸡	16	7	10
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-世纪	962	7702	439
-沥青	165	225	58
-糊糊	4	2	12
-清河	116	112	35
-糌粑	2	1	3
-船队	1	8	13
-满分	42	655	13
-草甸	25	17	13
-草畜	0	4	0
-交涉	12	21	2
-侏儒	87	46	8
-单方面	3	0	0
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-作坊	1	34	36
-优待	4	56	4
-平整	8	9	4
-十样锦	0	0	1
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-三联	75	170	3
-以方	0	0	3
-明尼苏达	30	2	1
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-了然	7	1	2
-糍粑	17	11	53
-休息	16	25	19
-渴望	35	43	17
-京沪	38	8	0
-艰辛	3	7	2
-主动性	4	4	1
-清泉	43	63	73
-钱箱	0	0	2
-书生	40	47	65
-筚路蓝缕	4	0	0
-佛国	0	1	0
-舱面	5	0	0
-流落	7	6	0
-决算书	0	0	1
-渐次	0	1	1
-微波炉	86	33	11
-长拳	4	1	18
-专线	11	43	233
-絮棉	0	2	1
-定向培育	0	3	0
-喝西北风	0	2	0
-滋味	21	42	110
-系统性	30	19	2
-使劲	0	1	1
-连通器	1	0	0
-送话器	0	0	1
-可可粉	2	0	3
-滑县	50	12	1
-滚动	51	25	11
-乳猪	5	10	24
-生物武器	4	5	1
-三者	1	1	0
-交流	207	1387	127
-葡萄干	120	136	16
-循环小数	1	2	4
-惩前毖后	1	0	0
-开启	98	82	12
-师爷	4	14	12
-师父	9	14	5
-作图	2	41	31
-糊精	1	13	26
-繁体	3	16	1
-闻名	3	4	0
-精益求精	2	3	1
-粪肥	0	1	1
-中篇	3	8	0
-沭阳	124	18	1
-温棚	2	3	0
-针脚	1	4	4
-社会学家	10	4	0
-清流	45	16	9
-消声室	0	0	1
-发展中国家	33	31	2
-精细	155	331	1
-平日	2	1	1
-涵盖	2	1	0
-上肢	16	11	0
-众怒	2	0	0
-万能	319	323	6
-阉割	6	12	2
-精练	4	236	253
-溪头	22	6	0
-塑料袋	8	4	8
-平时	6	4	2
-没顶	1	0	1
-减震器	4	8	21
-人武	5	4	1
-滚压	13	7	3
-乘着	12	7	0
-会心	9	11	0
-淬火	25	58	47
-渡槽	1	3	20
-会徽	0	7	81
-传开	0	0	4
-京津	56	34	2
-渲染	36	160	33
-下肢	41	22	1
-业经	0	1	1
-平昌	112	10	10
-漂亮	162	153	44
-控制器	4	354	581
-茶砖	1	0	2
-一致	19	32	17
-侣伴	1	0	0
-热水器	9	77	167
-引出	3	3	0
-上联	2	2	0
-重中之重	1	3	1
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-油锯	1	2	2
-镜架	0	1	5
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-光合作用	12	4	5
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-二炮	9	3	0
-严紧	4	0	0
-依依	15	18	29
-赔偿案	0	10	0
-渔歌	12	1	20
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-豆腐乳	8	2	21
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-苯胺	22	65	229
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-循规蹈矩	2	1	1
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-大多	12	4	0
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-如上	0	1	0
-藤球	1	4	1
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-声张	1	0	1
-虚文	1	0	0
-复审	1	31	28
-夏季	94	151	13
-墓志铭	0	16	86
-不可或缺	1	6	0
-款冬	16	7	1
-奉告	1	0	0
-女伴	0	1	0
-多姿	4	3	4
-宝刀不老	0	1	0
-绍兴县	122	5	0
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-市场观	0	2	0
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-毫米波	15	18	2
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-天堑	5	4	7
-灵活性	5	6	2
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-奉命	5	1	0
-大增	0	1	4
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-洗衣房	4	0	1
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-喜玛拉雅	14	9	4
-此事	1	1	0
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-放心房	0	1	0
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-如今	6	6	3
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-天女	20	21	16
-魁北克省	2	2	0
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-蒸食	2	0	2
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-锚缆	0	0	1
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-多孔	77	69	0
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-如云	1	8	0
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-正义	222	203	183
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-套取	0	1	0
-横琴	16	14	1
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-蚊帐	2	1	8
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-粮农	0	7	0
-夫婿	0	1	2
-锋芒	6	9	15
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-门板	3	3	12
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-国鸟	0	8	3
-血红素	8	9	7
-钱财	2	3	0
-水晶宫	12	4	16
-蛟河市	13	2	0
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-回归热	3	0	3
-橘汁	12	1	5
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-如何	591	648	19
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-地面	187	187	30
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-蝴蝶谷	4	3	11
-大尉	2	3	2
-虔敬	3	0	0
-欺凌	0	7	3
-德艺双馨	0	2	2
-长田	24	7	4
-难于	3	1	1
-闲杂	2	0	0
-难事	0	6	0
-培育	26	154	57
-安大略省	13	3	1
-次品	3	3	3
-阴影	55	76	96
-太阳宫	11	8	4
-薄纸	2	0	0
-陷坑	3	1	0
-鞭炮声	1	0	0
-复归	7	3	4
-粉坊	2	1	1
-大局	1	8	6
-防御	105	368	250
-难产	5	2	11
-社会心理学	31	28	33
-坐镇	2	0	2
-堪称	1	0	0
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-熟石灰	1	2	0
-随后	1	1	1
-随同	2	0	0
-防弹	23	13	1
-欧华	8	16	0
-续航力	0	0	1
-大字	23	113	0
-大学	3138	25077	9048
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-限定	21	23	8
-橙汁	115	37	38
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-管状	24	10	0
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-萨帕塔	9	1	12
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-大宇	122	49	16
-生死之交	0	0	1
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-天子	103	111	0
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-闰月	1	2	3
-釜底抽薪	1	0	0
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-穷当益坚	2	0	0
-大宝	41	44	24
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-挡风墙	0	0	1
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-大宫	20	7	3
-除夕	11	9	12
-太子	160	231	2
-除外	5	8	1
-场面	11	19	6
-简直	1	1	0
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-大家	368	251	55
-原子结构	3	4	0
-小家庭	7	3	0
-铁证	17	4	2
-太学	6	4	5
-天真烂漫	0	1	0
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-大师级	1	5	0
-阀座	0	1	1
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-一着不慎	1	0	0
-外场	5	3	1
-雾里看花	3	0	1
-长湖	19	12	3
-窍门	0	123	125
-处女	53	29	22
-蛇岛	11	6	6
-欧元	27	13	3
-筋络	2	0	1
-失口	1	1	0
-外在	12	2	1
-银线	19	7	1
-外地	7	15	4
-赣州市	177	10	1
-铜臭	3	0	1
-堆砌	1	1	2
-大唐	597	204	40
-外圈	1	3	0
-阜宁	65	9	2
-乒乓球台	0	0	3
-蝴蝶装	1	0	0
-闹心	1	1	0
-壳子	2	2	11
-糖人	6	7	12
-太和	167	122	20
-农业局	0	6	187
-外国	837	540	2
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-阿坝	74	11	3
-锌粉	1	3	4
-中小学	256	721	31
-死亡率	1	4	23
-国音	4	0	3
-锰矿	12	22	22
-管理	1137	39150	7966
-棱镜	19	16	50
-外围	23	25	9
-大哥	8	15	17
-榆荚	3	0	1
-钝角	7	0	0
-处处	12	22	5
-蕴藏	0	4	0
-水文站	2	3	32
-外因	4	4	2
-蕴藉	2	0	3
-寄生虫	36	117	21
-圆雕	9	15	11
-有机化学	99	85	41
-险关	0	1	1
-太阳帽	0	1	1
-地貌学	4	7	37
-声学	41	101	40
-天命	60	18	17
-嫌疑人	4	7	10
-精兵	2	5	5
-垦荒	3	2	2
-增效	18	44	4
-手舞足蹈	3	0	0
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-军事化	2	4	3
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-意中人	0	0	3
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-增收	2	31	3
-多嘴	5	8	1
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-夫君	17	25	23
-精光	0	1	2
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-军事区	0	2	6
-大和	83	30	12
-蓝靛	11	4	2
-棱锥	2	3	7
-独具特色	0	1	0
-复垦	3	22	10
-蛏子	15	15	110
-镜片	5	11	39
-红四军	8	3	0
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-太君	2	1	11
-院务	0	1	0
-风流人物	4	4	6
-薄荷	290	171	80
-阔少	2	3	1
-马克思	253	141	48
-聚氯乙烯	45	32	4
-物质文明	2	2	5
-太阳年	0	0	1
-天启	40	16	16
-太后	19	62	89
-太平村	5	1	13
-阑尾	17	0	0
-一心一意	3	0	0
-农工党	4	1	0
-糖业	2	65	5
-祁阳县	46	0	0
-大员	2	1	10
-篮球队	0	2	90
-士官	11	63	9
-男傧相	0	0	1
-白纸黑字	1	0	0
-英雄豪杰	2	0	0
-海州湾	3	2	2
-夏夜	32	8	7
-戊戌政变	1	0	0
-墨斗	4	1	6
-王家庄	14	18	3
-复写纸	2	2	2
-陆地	67	78	5
-土地税	2	0	0
-夏天	108	99	255
-童谣	7	98	92
-除却	2	1	0
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-议员团	0	0	1
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-花骨朵	6	0	0
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-夺取	13	5	1
-团鱼	9	6	14
-动名词	1	3	0
-歇业	0	1	1
-银耳	505	772	153
-橙黄色	1	0	0
-夸口	1	0	0
-钱袋	12	8	0
-巴勒斯坦国	3	0	0
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-管用	2	14	3
-图尔库	15	2	0
-除去	3	3	2
-复壮	3	0	1
-童话	208	1247	766
-红白喜事	12	2	1
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-示范区	0	31	81
-外埠	2	0	0
-外域	3	2	1
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-陷入	7	6	1
-鹅观草	1	0	67
-异质性	5	9	10
-夜场	5	5	2
-粘土	46	18	48
-橱柜	17	119	130
-附图	0	0	1
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-竖起	5	3	1
-失和	0	1	1
-空额	0	0	1
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-延续性	2	2	0
-大喊	1	0	0
-头号	29	19	0
-防备	0	6	1
-百年大计	1	0	0
-头名	1	2	1
-立身	6	4	10
-大喜	16	3	10
-罗甸县	3	1	0
-粉墙	2	3	1
-精到	0	0	1
-原教旨主义	2	1	2
-镇痛	17	60	6
-古北口	12	2	3
-阴天	7	3	2
-精制	55	52	6
-蜕变	15	30	39
-阿城	32	14	5
-奇冤	1	4	15
-积水潭	4	3	0
-纵剖面	0	0	2
-喉科学	0	0	1
-观光台	0	0	1
-脉冲星	2	2	15
-坦诚	3	3	1
-甜蜜蜜	7	13	5
-五一路	2	20	0
-奇兵	5	90	145
-卡拉奇	7	2	4
-门房	0	2	2
-示范县	0	10	2
-坚贞	0	0	1
-箭猪	1	0	0
-鸭嘴龙	3	1	4
-门户	20	307	196
-凯内马	1	0	0
-长滩	20	16	9
-狐假虎威	1	0	2
-头发	37	30	29
-蓝领	12	13	3
-户枢不蠹	1	0	3
-诚心诚意	0	1	0
-夏娃	27	23	19
-奋勇	2	1	2
-外头	4	0	0
-原子团	3	0	1
-薄膜	145	237	118
-童贞	5	11	5
-墙根	2	3	3
-锡箔	4	0	0
-墨晶	2	2	0
-橡木	12	8	7
-天国	90	47	47
-薯类	8	10	0
-高加索	49	26	6
-大地	409	451	131
-奉化	80	19	0
-复婚	1	2	0
-竭诚	6	3	3
-外壳	13	19	19
-上贼船	0	0	1
-筋肉	9	11	2
-网球赛	0	1	12
-桃花雪	0	0	1
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-陪同	3	3	1
-大国	171	159	33
-柳子戏	0	0	2
-镁砂	0	0	2
-奋力	5	2	0
-合不来	1	0	0
-酸枣树	2	0	1
-牧羊人	14	3	5
-大器晚成	6	0	1
-台儿庄	35	5	4
-镁砖	0	0	1
-美联储	7	8	5
-集训班	0	0	2
-堆积	25	40	0
-光通量	2	1	3
-薄脆	4	13	12
-联络员	0	3	2
-陶冶	11	5	0
-精华	25	956	437
-竞走	1	3	3
-随从	2	3	2
-圆领	1	2	2
-粮商	0	0	2
-横流	3	6	5
-东平县	20	2	0
-欧亚	119	124	1
-巴林国	0	5	0
-妙不可言	2	0	3
-天燃气	4	6	0
-除名	1	1	2
-空置房	0	0	1
-简称	4	17	40
-蓄须	1	0	0
-橘柑	2	1	0
-监督卡	0	0	1
-壁挂	14	62	15
-复姓	0	0	1
-榆中县	34	3	0
-奢侈	24	24	2
-基站	31	21	25
-报务员	0	0	3
-立轴	16	3	35
-黄毛丫头	0	1	0
-金属矿	21	52	12
-壁报	0	1	0
-瞻前顾后	0	0	1
-汨罗市	46	4	0
-墙板	6	23	21
-米尺	2	1	0
-先见之明	0	1	2
-真实感	0	3	1
-奇功	1	2	10
-算盘	10	9	13
-虚构	24	32	16
-圆顶	16	13	2
-隐伏	12	3	0
-窗门	0	1	1
-竞赛	25	749	247
-里下河	4	2	0
-大器	4	7	14
-防守	37	80	69
-撑门面	0	0	1
-供电系统	4	27	28
-观光团	0	0	8
-蓑衣草	1	0	0
-橡树	44	76	18
-铁血	219	95	7
-地铺	3	2	0
-哈萨克族	27	20	1
-光量子	6	6	0
-奴仆	2	1	2
-闺房	3	4	7
-精品	239	2628	119
-蕹菜	27	10	6
-顺流而下	0	0	3
-检验	111	1865	402
-大堤	6	8	16
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-百家饭	0	0	1
-国魂	2	3	8
-奋发	7	5	3
-糖分	0	1	0
-横滨	54	11	1
-万绿湖	2	2	1
-阵子	0	16	4
-外婆	56	36	13
-蒜黄	12	7	2
-快热式	2	0	0
-米市	7	1	6
-镶牙	2	3	0
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-粪坑	1	0	0
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-大城	127	32	0
-同一天	1	0	0
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-大埔	104	15	1
-夜大	0	2	1
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-蜡像	5	7	3
-玄武湖	6	12	1
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-筋腱	1	0	0
-检疫员	0	4	1
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-女人	970	1380	1073
-奖券	1	2	4
-粪土	3	2	3
-胶合板	15	11	18
-军工厂	0	1	3
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-隆冬	2	1	5
-女仆	38	34	43
-阿婆	18	5	1
-穷鬼	5	0	2
-大堂	13	14	20
-筛网	5	18	22
-四人帮	3	2	2
-锋线	1	1	1
-多多	66	101	50
-壮年	1	0	1
-童趣	59	16	1
-大型	405	376	1
-随便	11	16	2
-夜壶	1	0	0
-多头	67	8	0
-中央气象台	1	0	0
-等腰	8	0	0
-若无其事	0	1	1
-洗衣机	31	252	71
-天坛	48	82	12
-止泻药	1	0	0
-粗大	2	0	1
-文代会	0	1	1
-监督员	0	19	6
-瓜子脸	2	1	0
-粉蒸肉	4	5	77
-简章	0	7	66
-散射光	2	0	0
-梭鱼	9	12	26
-阿妈	15	5	2
-外姓	2	0	1
-随俗	4	0	3
-阿妹	3	1	0
-欠债	3	2	1
-清水县	6	0	0
-控制论	11	12	35
-宁津县	44	11	0
-物候学	1	0	2
-筋脉	9	0	1
-劳务费	1	0	0
-腾格里	11	8	1
-外套	10	8	48
-略胜一筹	2	0	0
-锚索	6	6	3
-女中	6	8	29
-体操队	0	0	17
-欧体	18	10	1
-大坝	81	55	53
-劳改犯	0	1	0
-大陆桥	4	3	11
-粗壮	39	2	0
-阿姐	2	1	1
-筹算	2	0	0
-天地	389	654	462
-强的松	1	6	0
-横渡	6	9	2
-坑道	16	9	11
-大坪	81	64	4
-泼水节	2	2	9
-水葫芦	5	3	5
-声带	14	11	80
-证券化	2	48	29
-化粪池	0	6	11
-遮阳板	0	2	6
-顽固性	19	3	0
-声望	10	6	3
-神经纤维	6	9	5
-领导班子	4	13	4
-竹篾	3	1	0
-附则	0	0	1
-钉螺	1	0	5
-偶然性	3	1	1
-唯一性	0	4	1
-竹篮	4	1	1
-夹带	3	2	3
-马鞍山	293	51	3
-虫子	19	33	40
-霍尔果斯	7	2	0
-天性	6	18	10
-登山鞋	0	0	3
-一模一样	1	0	0
-太平盛世	1	0	0
-造船厂	1	7	42
-夜战	2	1	4
-空字符	1	0	0
-陈兵	8	0	0
-陆军	80	303	26
-抽象思维	1	0	0
-失当	0	1	1
-培养基	1	8	146
-阳台	60	85	49
-竹簧	1	12	1
-税额	7	10	9
-烹调法	1	0	2
-院中	2	7	0
-客运段	0	0	9
-镪水	0	0	1
-头式	0	11	1
-布琼布拉	1	0	0
-外挂	12	18	11
-水暖工	15	5	4
-棉纺织	7	26	0
-虱子	1	5	6
-空话	1	2	0
-鑫诺	18	15	0
-多抗	6	1	0
-控告人	0	1	0
-头彩	0	1	0
-堇菜	5	0	127
-奇峰	14	30	36
-附加	68	81	13
-方位词	0	3	0
-蚌埠	301	43	0
-平滑肌	5	33	1
-建始县	14	3	1
-变化莫测	1	0	0
-门面房	1	1	1
-奎尔	16	33	31
-大丽花	9	1	7
-备播	1	0	0
-空论	1	0	5
-折叠椅	0	0	2
-学而不厌	1	0	0
-陈列	23	65	27
-橡胶树	20	2	4
-溧阳市	85	5	0
-供应商	23	46	22
-采油工	5	1	0
-情窦初开	1	2	0
-夸张	4	4	3
-汉语拼音	18	29	29
-空谷	22	1	4
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-铁腕	22	3	1
-米价	0	2	0
-救济院	0	1	3
-除了	5	3	0
-失态	0	0	1
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-大意	2	1	0
-十四行诗	1	5	8
-食道癌	6	2	1
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-耳鼻喉科	3	23	1
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-载畜量	1	3	4
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-包藏祸心	0	0	1
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-现在时	0	2	2
-空调	192	1171	278
-处方	7	190	126
-贿赂罪	1	6	5
-铜线	5	1	5
-警察署	0	2	4
-虚幻	50	8	3
-失恋	53	13	15
-马鞍子	2	0	0
-境界	57	123	131
-寸土寸金	1	0	0
-玉山县	20	2	0
-邢台县	4	2	0
-秧鸡	3	24	97
-烂摊子	0	0	1
-险些	1	0	0
-天意	30	29	0
-楼脚	1	0	0
-拉丁文	4	0	1
-猿叶虫	0	0	2
-梦魇	42	16	57
-闽宁	1	0	0
-好坏	3	3	8
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-小人儿	2	0	6
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-岁寒三友	6	16	1
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-类似	16	29	1
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-妥协	4	17	17
-检错	1	0	0
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-恰到好处	7	8	11
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-言无不尽	0	0	2
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-大报	4	0	0
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-型钢	12	54	28
-牛羊肉	7	12	9
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-复旧	2	3	1
-复旦	386	100	6
-不经意	3	1	2
-奶头	4	0	0
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-同一个	0	1	0
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-篆文	1	5	1
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-奇异	273	114	2
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-游山玩水	1	0	0
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-鱼目混珠	0	0	1
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-钩虫	4	16	21
-万载县	8	0	0
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-堕落	101	51	36
-门径	1	7	8
-法医学	20	25	14
-蔓草	6	13	9
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-丝丝入扣	1	0	0
-竹纸	3	2	0
-监听器	1	0	3
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-阙如	0	1	2
-闰年	3	0	1
-奶妈	2	1	3
-阿哥	9	13	8
-拜泉县	23	0	0
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-穿越	1195	337	127
-女娃	1	2	4
-外敌	0	1	0
-虎崽	0	0	5
-倡议书	0	0	15
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-锁簧	1	1	0
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-长泰	31	13	20
-窃贼	6	38	27
-突起	5	0	26
-棉铃	12	2	0
-公司制	4	4	1
-夭折	6	3	0
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-大捷	2	16	0
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-节能灯	4	16	51
-情真意切	2	1	0
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-自治区	5	1609	69
-检阅	4	4	5
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-米兰	273	239	42
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-好天	6	3	2
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-姚一	5	0	0
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-女婿	8	12	32
-姚万	5	0	0
-奴婢	5	2	4
-姚三	2	0	0
-填空	1	244	125
-隐形眼镜	9	8	58
-羊肉串	2	0	19
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-进气口	0	0	1
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-虎年	13	17	2
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-窥见	4	1	0
-委任	12	1	1
-操纵杆	0	0	4
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-治疗仪	0	11	463
-窥视	9	11	2
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-檩子	0	0	1
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-复杂	182	123	15
-阵地	10	16	12
-壁灯	0	1	5
-筒瓦	0	1	2
-姚九	1	0	0
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-姚五	1	0	0
-钟表	21	92	19
-穿孔机	0	0	2
-姚二	1	0	0
-陕南	36	3	0
-壁炉	9	6	15
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-楹联	16	100	27
-夏朝	12	1	2
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-天山	261	138	35
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-外廓	2	0	0
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-蚊子	31	28	22
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-模样	4	9	18
-工程署	0	1	0
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-江东门	1	1	0
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-货运费	0	1	0
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-白帝城	9	1	4
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-篮球赛	0	4	15
-周口店	28	7	1
-冲锋陷阵	1	0	2
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-檐子	1	0	0
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-运算符	2	2	31
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-孟加拉人民共和国	1	0	0
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-失宠	6	16	1
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-镶板	1	0	0
-轰轰烈烈	2	0	0
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-外心	1	1	1
-蔷薇	222	135	229
-穿透	30	32	10
-百里洲	2	0	1
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-素什锦	12	3	42
-篡改	0	3	1
-突进	2	3	8
-堆肥	7	9	6
-共鸣板	1	0	0
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-算清	0	3	0
-洋娃娃	8	5	8
-轻描淡写	1	0	0
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-箭步	2	0	0
-穿过	31	16	0
-横栏	0	2	0
-奇妙	181	265	24
-阻值	2	3	3
-夹子	7	18	25
-咿咿呀呀	2	3	0
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-问好	0	0	3
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-蒸锅	1	1	1
-类别	7	18	27
-蛋品	8	14	0
-外形	5	8	1
-附会	1	0	6
-蚕子	1	0	3
-奉天	65	27	1
-三位一体	16	15	8
-声援	3	5	2
-油画展	0	0	1
-阳关	32	27	24
-备战	7	28	5
-古兰经	32	18	7
-大幅	3	8	0
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-穷酸	3	0	0
-放心店	0	2	0
-粤东	29	18	1
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-好友	23	21	23
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-多心	4	30	0
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-土窑洞	0	0	2
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-长机	1	3	4
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-基色	1	18	3
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-大市	14	6	0
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-相对湿度	2	0	4
-蔚为大观	0	1	0
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-接力赛	0	1	8
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-外快	0	0	1
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-场馆	11	47	29
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-外患	1	1	1
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-阴凉	1	2	1
-铁纱	1	0	0
-毒辣辣	1	0	0
-美洲狮	7	10	3
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-天幸	0	0	1
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-丰富化	0	1	1
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-作用力	1	1	0
-仿制品	0	0	1
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-奶品	0	1	1
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-一元论	0	1	4
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-奸商	2	0	6
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-锻炼	19	81	39
-马尔代夫	172	2	5
-阴功	0	11	6
-陋俗	1	1	1
-堕胎	3	1	5
-褐斑病	0	2	122
-门将	0	1	3
-头巾	11	11	27
-堇色	5	0	0
-壁毯	1	0	5
-如是说	0	23	64
-夙愿	0	0	1
-陛下	3	19	19
-浪漫主义者	0	0	1
-竹茹	27	21	4
-奶嘴	6	4	8
-大德	62	37	29
-防化	14	23	0
-阻击	24	16	18
-男低音	0	0	3
-笸箩	0	1	4
-奇寒	0	0	1
-模板	45	176	173
-喀秋莎	2	6	0
-妞儿	0	7	4
-头帕	0	2	3
-外环线	0	1	7
-震撼人心	4	6	0
-银票	4	0	2
-声明	9	7	91
-滹沱河	11	2	0
-登山队	0	2	4
-蒙难	2	10	3
-防区	4	8	2
-水族箱	4	15	16
-蔺草	2	2	1
-沦陷区	1	4	0
-交流会	0	26	27
-问安	3	1	1
-大犬座	4	1	0
-发行量	3	2	3
-模本	0	1	2
-高压柜	1	0	0
-榜眼	2	8	1
-乐百氏	3	0	0
-长椅	0	0	5
-防卫	27	113	42
-植被	41	70	40
-失常	0	45	26
-猩红热	1	0	0
-桂花酒	2	0	3
-棚车	1	0	8
-横暴	0	2	0
-樟树	65	22	9
-外戚	4	1	2
-太仓市	109	3	0
-地磁极	2	1	3
-女团	1	1	4
-坚韧	8	5	6
-奎宁	5	20	10
-钾肥	2	7	3
-二人转	5	6	11
-粮仓	5	15	10
-狙击手	35	58	94
-景德镇市	101	3	0
-对症下药	2	2	0
-结晶体	0	2	0
-天赋人权	1	0	0
-虚惊	1	0	1
-阻力	13	46	77
-大忙	11	0	0
-大志	6	9	43
-一剪梅	19	2	3
-太上皇	6	3	0
-篡权	0	0	1
-伊斯坦布尔	33	9	5
-笔耕	7	5	1
-土黄	15	4	0
-棘轮	5	6	0
-椰蓉	113	66	1
-中签号	0	0	2
-蒙面	52	23	1
-散兵线	1	0	0
-蛇口	35	32	3
-狙击战	1	2	10
-闯将	1	1	0
-总领事馆	0	6	123
-代数和	0	1	0
-浮动汇率制	0	0	3
-奉新	27	6	0
-错过	0	1	0
-壮烈	2	0	0
-保加利亚共和国	0	7	0
-铁马	27	22	6
-紧凑	11	1	0
-地质学	17	66	125
-一而再	1	0	0
-橘络	2	0	0
-毫不	18	6	0
-铮铮	6	0	10
-零嘴	0	3	3
-院校	16	1181	55
-奋斗	59	157	51
-铁骑	23	26	20
-射阳县	33	5	0
-自主化	0	1	0
-小井庄	1	0	0
-霉变	5	3	0
-闸瓦	0	1	0
-示范村	0	2	1
-霞光	13	14	12
-精度	17	208	72
-震后	15	6	1
-童音	8	1	0
-复活	89	73	136
-货郎担	1	0	0
-随手	27	41	1
-阳浦	0	1	0
-外水	2	0	0
-发言人	0	25	11
-集安	151	9	2
-宁乡县	31	7	0
-妇幼	18	500	0
-雪地	8	0	0
-虾片	8	4	45
-武庙	6	7	45
-好心	11	15	0
-平均数	1	2	23
-防涝	1	0	0
-体操课	1	0	0
-源安堂	1	1	0
-自治州	0	430	55
-藤蔓	15	5	8
-夏津	22	2	1
-外汇	299	280	41
-团体操	2	1	0
-铬铁	2	1	3
-奖掖	1	0	0
-大锅饭	1	0	1
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-威仪	8	5	4
-奇数	5	18	1
-不白之冤	0	0	1
-女性	644	951	106
-阵法	1	6	21
-立马	18	13	4
-集子	1	1	1
-泰米尔	15	2	0
-正常	113	53	8
-融入	9	25	1
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-军事志	0	0	10
-夹杂	2	6	3
-武工	1	2	0
-地板革	0	1	0
-樱草	10	2	17
-铜雕	17	24	4
-集宁	26	17	0
-大楷	2	4	0
-雅安	111	23	3
-姚双	1	0	0
-奴性	2	0	0
-大楼	15	50	342
-错车	2	1	5
-多项式	10	6	19
-大概	2	0	2
-端阳	5	3	10
-歌舞团	0	3	93
-震区	0	7	5
-灰质炎	0	14	2
-自行火炮	0	13	65
-铜陵	242	58	3
-多伦多市	1	2	0
-夺权	6	3	9
-院本	0	3	1
-橘红	43	21	9
-好强	0	1	0
-过河拆桥	0	1	0
-夹板	12	8	27
-毅力	6	4	11
-铬钢	0	3	2
-精干	1	3	2
-防洪	31	71	7
-雪团	1	0	1
-大中城市	0	1	0
-狂犬病	16	30	10
-特价品	1	0	0
-工本费	0	0	1
-素馨花	3	1	2
-死守	2	2	2
-接收器	0	1	18
-阳沟	0	21	1
-销量	4	12	4
-姓名	33	56	24
-壁画	19	211	350
-防治	54	2483	846
-左家塘	12	3	0
-大棚	75	76	14
-适者生存	2	0	3
-大棒	3	6	2
-七七事变	1	1	3
-铁饼	3	4	2
-阴沉	4	2	0
-沭阳县	81	2	0
-奴役	5	8	0
-万绿园	1	0	1
-素净	0	2	0
-犯罪分子	0	2	0
-阴沟	3	0	0
-樱花	312	148	52
-地质局	0	72	34
-零售	156	145	10
-阳泉	104	36	5
-天梯	14	14	15
-姚十	1	0	0
-妖孽	62	54	35
-青基会	0	2	3
-长航	7	25	1
-闪电	231	134	59
-阳江	238	31	6
-相思病	0	1	1
-铜门	1	6	4
-震动	44	62	11
-最高院	1	0	0
-本外币	2	1	0
-天棚	11	8	2
-大肠杆菌	14	11	7
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-产学研	10	39	0
-营养元素	0	0	4
-想像力	3	3	3
-先遣队	0	8	5
-备注	4	1	1
-精工	18	147	7
-报刊社	0	1	7
-精巢	2	1	1
-比值	13	10	0
-篇篇	3	1	1
-如常	0	0	2
-虚症	0	0	2
-半吊子	1	1	1
-防沙	5	13	0
-次日	9	2	0
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-套换	0	1	0
-经济核算	1	7	5
-省市长	0	2	0
-陨星	8	7	4
-甜味剂	1	2	8
-观音竹	1	0	0
-藤萝	6	12	4
-随想	7	57	36
-机关干部	1	2	0
-武岭	6	5	2
-聪明人	43	47	10
-庄浪县	16	0	0
-阳气	2	9	6
-防水	190	765	37
-姻亲	1	2	2
-殷勤	2	4	2
-淮海路	3	8	2
-歇息	1	0	1
-比作	0	1	0
-杂和面	1	0	0
-大桥	75	271	1519
-虽然	3	3	0
-大案	6	27	39
-大大小小	1	0	0
-阿曼苏丹国	1	5	0
-英山县	24	2	0
-失望	1	2	5
-蝴蝶鱼	2	1	78
-黄金时间	1	5	3
-水蒸汽	0	2	0
-处治	0	11	2
-随意	31	31	6
-参议员	4	2	2
-大梁	21	17	0
-文科生	1	2	0
-隶属	9	9	0
-防汛	27	77	1
-契据	4	0	1
-比例	75	169	90
-总统府	4	6	15
-不近人情	1	0	0
-随感	3	8	2
-笺谱	0	1	7
-立竿见影	2	1	0
-铜镜	11	19	127
-橱窗	18	28	19
-天桥	86	72	50
-威严	0	3	1
-养鸡场	5	0	3
-隐患	4	81	23
-过路人	1	0	0
-墓穴	12	7	18
-素养	1	148	97
-肺脓肿	0	0	4
-雕塑	62	389	237
-蛋松	2	4	7
-阴毒	4	0	1
-金不换	11	10	5
-抛物线	17	2	8
-次数	3	10	37
-虎皮	127	64	4
-水蒸气	12	10	0
-门生	3	6	11
-隐情	0	2	4
-楼顶	5	2	2
-阶段	17	380	160
-等距	18	8	0
-集市	8	17	30
-殿军	0	1	10
-雇工	2	2	0
-陆海	29	11	4
-壳牌	22	13	3
-步履	6	6	2
-比价	15	24	21
-滑冰鞋	0	0	1
-错金	53	52	0
-封闭疗法	0	0	3
-粗放	8	0	0
-前锋线	1	0	0
-娃儿	5	35	5
-反映论	0	0	1
-人工智能	83	35	17
-氰化钠	0	0	5
-链锁	4	2	0
-精悍	2	3	1
-风光旖旎	2	1	0
-古生物	19	57	8
-雄师	7	24	17
-锁钥	1	0	5
-大水	64	28	7
-方便面	16	8	51
-妄想	39	42	34
-粉条	33	43	179
-蚝油	424	116	3
-铲除	6	0	0
-一边倒	0	2	0
-夯歌	0	1	2
-如愿	1	0	4
-难度	4	17	2
-市政府	5	253	5
-侦察机	0	8	150
-胃肠炎	1	1	24
-奎松	2	0	4
-籽棉	3	0	1
-过渡期	2	7	2
-常规武器	2	6	1
-苍蝇拍	4	3	2
-格登山	4	0	0
-如意	249	239	129
-大气	314	194	39
-提货单	1	0	0
-神经性	51	25	1
-巨石阵	3	0	5
-粉末	161	152	39
-城门	26	23	27
-乐观主义	2	0	1
-财政局	1	41	331
-武山	39	28	19
-销钉	3	2	1
-降水	24	22	27
-殷切	0	1	0
-雪夜	21	19	6
-外海	12	13	1
-妹妹	40	94	150
-死契	0	2	1
-万年青	19	29	32
-防潮	25	40	2
-雪天	11	5	0
-精怪	0	9	3
-好意	4	2	0
-母体	13	1	5
-复兴门	5	2	0
-公路局	2	3	37
-独当一面	0	1	2
-城镇	221	985	375
-滨州市	93	8	1
-台球桌	0	2	2
-妨害	31	16	1
-宁德市	84	7	0
-虫牙	2	1	0
-模范	27	206	10
-塔克拉玛干	7	1	1
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-大步	8	7	0
-黄土层	1	3	1
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-每份	0	1	0
-不干胶	39	16	6
-妻女	0	1	0
-簧片	3	2	1
-铸锭	1	3	4
-糊弄	1	0	0
-妻妾	5	6	2
-妮子	0	6	4
-阎王	14	5	9
-墨笔	2	16	2
-无往不胜	1	3	2
-附注	2	0	5
-武将	9	35	18
-融会	3	2	4
-雀巢	49	10	2
-大殿	1	6	79
-氰化钾	2	0	8
-好感	3	11	0
-竞驰	1	3	0
-累加	9	2	0
-鄂尔多斯	247	44	2
-墨竹	21	36	6
-答谢	9	6	1
-四人制	1	0	0
-奴才	1	2	6
-雨声	2	9	11
-代理商	2	5	25
-基轴	3	0	0
-六合拳	0	7	12
-向心力	1	4	2
-夹棍	1	0	1
-足协杯	0	1	9
-精微	2	10	4
-东京湾	7	1	1
-编年体	1	4	0
-银锭	4	3	11
-轻机枪	0	3	193
-抢劫犯	0	2	2
-铸铁	119	85	37
-五一节	0	1	0
-阴湿	2	1	0
-步子	0	1	3
-好恶	5	0	1
-家委会	0	0	7
-母亲	129	156	127
-妹夫	0	0	1
-必要条件	1	0	4
-正宗	61	38	54
-殉国	0	7	4
-正定	63	23	7
-套数	0	1	4
-蚕沙	3	5	1
-妄念	1	0	2
-毕业	195	476	15
-大款	1	2	0
-武安	62	11	8
-财政学	32	28	28
-闭目	8	0	1
-发明者	1	4	1
-外流	5	5	1
-志存高远	0	0	1
-长葛	27	1	2
-索取	1	8	1
-武官	6	13	2
-竹雕	40	95	19
-雍容	10	0	5
-滦平县	13	1	0
-精心	7	8	2
-每人	5	2	0
-东京港	1	0	0
-基辅	66	29	1
-武宁	62	39	2
-虚玄	0	0	1
-米格	320	121	6
-克格勃	6	8	0
-秦淮河	5	5	3
-妯娌	3	2	1
-银钱	2	5	1
-每个	103	43	0
-楼阁	14	69	15
-妩媚	5	7	4
-款待	0	0	2
-电抗器	0	12	32
-藕荷	0	2	0
-大自然	98	146	39
-银针	24	30	29
-除根	0	1	2
-钟鼓	18	35	2
-威信	15	16	3
-年终奖	1	2	2
-夺标	9	18	3
-虚无主义	1	1	4
-外江	4	0	0
-雪堆	2	1	0
-奇景	5	4	25
-精彩	143	369	63
-防渗	10	23	8
-修道院	12	33	139
-托尔斯泰	29	35	26
-槐豆	2	1	0
-雪域	101	43	9
-隔扇	2	1	1
-集居	1	0	0
-奔放	6	5	2
-外泄	0	1	1
-强有力	2	1	0
-母乳	39	16	3
-剑阁县	84	8	0
-铁骨	22	8	6
-契文	1	2	0
-蜗居	20	9	5
-霸主	2	39	84
-软着陆	0	2	3
-铰链	13	12	14
-自己人	2	1	0
-高压电	25	27	5
-观察团	0	4	10
-正字	5	5	4
-霜冻	14	2	4
-好性	1	1	1
-风声鹤唳	2	0	4
-端面	24	22	3
-奸情	1	0	1
-大明	263	191	0
-泸沽湖	28	20	5
-好客	13	5	2
-三五成群	1	0	0
-妇婴	5	23	0
-斗转星移	3	1	1
-妊娠	265	92	36
-长缨	8	12	7
-天日	6	9	9
-奇才	10	39	37
-徐家汇	20	67	2
-增益	16	24	34
-够本	0	0	2
-天时	168	26	9
-等速	9	3	0
-无与伦比	7	3	2
-大显	289	6	0
-相似性	4	4	5
-流入量	0	0	1
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-声波	31	29	14
-颐和园	28	6	9
-榆钱	13	4	2
-楼门	1	6	0
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-铺轨	0	4	0
-闷热	0	1	0
-德黑兰	19	7	2
-款式	3	61	7
-章鱼	146	110	92
-大族	8	16	2
-好学	21	30	0
-等边	11	3	0
-蘑菇	643	682	438
-长盛不衰	0	4	0
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-大旗	14	9	6
-毁伤	2	4	1
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-中西方	15	11	0
-雪原	14	18	18
-大旨	2	0	5
-错误	98	127	218
-藏语	6	19	3
-多极	15	8	0
-虾皮	174	134	51
-大旱	5	1	3
-遮阳篷	0	0	13
-相位差	0	2	0
-教职员	0	1	0
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-雷击	27	10	7
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-共振态	0	0	1
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-天平秤	0	0	1
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-众说纷纭	1	0	0
-陪房	0	0	1
-及时雨	1	3	0
-三缺一	0	6	5
-她家	0	1	0
-蕾铃	0	1	0
-零儿	0	0	1
-感觉神经	1	2	0
-夜曲	2	5	17
-劣根性	0	1	0
-取暖器	0	4	27
-大料	1	0	0
-霍乱	17	14	22
-阶梯	158	421	81
-姐儿	1	2	6
-阴森	4	6	0
-歇工	1	0	0
-驯兽师	3	2	4
-天数	0	2	21
-降旗	1	1	0
-天文	139	272	0
-现场会	0	2	0
-难堪	0	2	0
-雁城	5	2	0
-随州	90	22	3
-长线	24	19	6
-原子核	13	8	1
-广合顺	1	0	0
-大方	71	67	0
-外来	54	64	0
-手工业者	0	0	1
-雷公	96	25	8
-死地	2	3	1
-妈妈	434	1166	395
-大敌	1	0	0
-奔忙	0	0	2
-壮汉	8	1	1
-有去无回	1	0	0
-克什米尔	21	7	2
-弦切角	1	0	0
-电子器件	4	41	13
-铁门	18	11	2
-肠痉挛	0	0	2
-欲念	5	2	2
-黯然失色	0	1	0
-天一阁	10	2	3
-大数	15	4	0
-篱笆	18	10	10
-随带	0	1	0
-长编	0	12	0
-玄武岩	16	7	28
-女尸	6	4	19
-门牙	2	2	0
-声气	2	1	1
-虚空	65	32	32
-篮筐	1	0	3
-蜡扦	1	1	1
-殒命	3	0	1
-门牌	1	7	1
-木芙蓉	5	4	5
-公费生	0	0	2
-铁锤	8	2	12
-铆钉	9	48	41
-死因	5	8	8
-夜景	5	17	15
-声母	1	8	3
-钡餐	2	4	2
-新田村	0	0	5
-樟脑	23	26	7
-虎符	5	2	21
-过渡性	6	2	0
-复根	0	0	1
-妇女	131	639	60
-铁锹	2	0	1
-流化床	22	59	8
-铅铁	1	1	0
-阿曼	174	70	13
-陈旧	13	3	0
-复核	5	23	13
-女将	0	20	12
-大革命	14	26	20
-泸定桥	2	2	2
-大政	8	6	0
-毛利率	1	0	4
-粗暴	4	1	2
-铲车	4	5	3
-雄图	1	2	1
-小企业	107	43	7
-小苏打	2	3	2
-世代相传	0	0	1
-武夫	6	6	16
-武大	28	28	0
-隆庆	24	7	4
-燕南园	0	2	1
-失控	30	22	24
-失措	0	0	10
-锅贴	65	13	99
-示范户	0	3	0
-奶子	18	6	5
-拉希德	20	17	7
-武夷	118	35	3
-集团	79	11066	9137
-士气	3	5	3
-奇想	20	14	6
-钟馗	39	50	21
-观测室	0	0	2
-徐水县	9	0	1
-限收	0	1	0
-共产党人	4	14	3
-控制符	0	0	1
-销路	1	5	0
-棒球场	0	0	6
-欣慰	2	0	1
-姚余	1	0	0
-夜晚	23	33	82
-女家	1	0	0
-筑路	9	25	3
-死囚	15	7	2
-烤鸭店	0	1	6
-女孩	240	912	1082
-武士	126	277	192
-茴香油	0	0	1
-震中	10	2	16
-建国门	5	29	0
-院所	0	20	0
-唾液腺	7	2	2
-填筑	0	4	0
-增生	1	103	89
-闪烁	21	35	9
-融合	73	273	159
-妥善	0	11	0
-勃勃生机	0	0	1
-虚礼	1	0	0
-营业所	0	7	4
-妆奁	1	0	5
-复查	1	18	3
-失掉	1	2	0
-正奥	1	7	0
-阴柔	1	2	0
-武备	17	22	3
-销货	5	0	1
-正好	2	6	9
-黄土地	10	3	3
-笔锋	1	0	0
-正如	1	0	0
-虫眼	4	2	0
-说明文	0	3	5
-反作用力	0	1	1
-累及	2	2	0
-拉丝机	4	3	13
-铺路	2	12	7
-障子	1	1	2
-坚韧不拔	2	0	0
-外景	5	16	2
-壮歌	0	4	11
-椒江区	8	8	0
-垂青	1	2	3
-安康市	80	8	0
-第比利斯	11	0	0
-槐角	13	6	0
-销赃	1	2	1
-铁链	7	5	3
-新化县	49	7	0
-民主联盟	0	5	20
-毛织品	0	0	2
-镇静剂	0	1	0
-殿下	18	69	64
-汇编程序	0	0	4
-女子	187	1136	140
-黄土坡	11	2	0
-欢愉	5	0	5
-铁锈	15	9	0
-铁锅	30	12	6
-正大	84	143	16
-铁锁	9	3	7
-此处	5	2	0
-步兵师	0	3	28
-段位	6	22	3
-铁锚	8	2	0
-铃铛	20	22	22
-德城区	4	13	0
-备案	15	193	38
-糕干	0	1	6
-殴伤	0	1	0
-针鼹	3	3	10
-雄威	1	3	3
-清河县	54	2	1
-雄姿	1	0	1
-大样	4	3	0
-季节性	47	5	1
-欣悦	4	19	2
-铜锈	1	0	0
-螺丝	71	101	56
-歌宴	0	1	0
-签订	3	32	2
-女式	3	2	0
-笔顺	5	24	2
-隐性	91	35	1
-编年史	0	64	99
-院方	0	0	2
-横线	2	1	2
-妖媚	4	0	0
-大树	133	33	51
-套房	0	52	11
-欢悦	0	3	0
-半路出家	1	0	0
-美洲豹	13	9	5
-降格	4	1	1
-大校	5	17	5
-除数	2	0	1
-成本会计	71	41	35
-铝锭	1	1	2
-锈迹	2	0	0
-进水口	0	2	7
-头晕	5	2	9
-雷同	2	2	2
-磁通量	2	0	0
-藐视	2	1	0
-诗词选	0	32	53
-防毒	17	37	3
-跑江湖	0	1	1
-好望角	19	13	3
-蛇毒	14	15	3
-笑颜	7	0	3
-城里	17	26	2
-虎穴	15	11	8
-透明体	1	0	1
-轮机长	1	1	0
-小学生	1503	1106	17
-布尔奇科	1	0	0
-不可捉摸	1	0	0
-代理制	0	3	5
-迎刃而解	1	1	0
-太极	345	313	57
-卡内基	30	24	6
-铜锣	58	54	5
-都柏林	32	11	0
-歌子	0	45	7
-玉环县	172	5	0
-铝锅	1	0	0
-铜锤	7	5	2
-蝎子	74	35	47
-隐忍	2	5	2
-虫瘿	0	0	1
-大枪	3	4	5
-壁球	4	16	3
-绥芬河	24	6	1
-含山县	19	1	0
-夫权	1	2	0
-天极	24	7	9
-合众国	3	7	4
-亏心事	0	0	2
-融化	14	10	5
-止境	0	8	11
-雷区	2	5	28
-基调	3	2	5
-震元	1	3	6
-门球	7	11	10
-祈使句	0	0	1
-冠亚军	0	1	0
-致富梦	0	0	1
-湘潭市	160	10	0
-氯化钠	9	108	10
-头昏	6	0	1
-天条	2	0	3
-大枣	182	259	113
-秦腔戏	1	0	0
-闪现	0	2	4
-雄奇	4	0	3
-鄄城县	22	7	0
-奏折	2	5	5
-装订机	0	0	13
-女帽	0	1	0
-墨盒	1	5	21
-防止	30	69	4
-大杨	25	13	0
-夹攻	0	0	5
-水晶体	0	0	1
-氯化钾	10	3	2
-隶字	2	2	0
-中子星	1	0	1
-闭环	24	8	0
-财政性	6	7	0
-铜钿	0	1	0
-妖娆	21	20	42
-茶褐色	1	0	0
-天机	64	19	57
-钻井液	26	1	7
-髋关节炎	0	0	1
-铜钹	2	0	1
-隐忧	0	0	3
-铜钱	26	12	17
-陆棚	3	0	2
-欢快	4	3	0
-电阻表	0	0	8
-广土众民	1	0	0
-法兰绒	1	0	0
-世乒赛	0	1	1
-备用金	0	4	0
-储存罐	0	0	3
-滴定管	0	0	6
-婀娜多姿	0	1	0
-处死	1	3	3
-筑造	0	0	1
-欢心	1	1	2
-谈判桌	1	0	1
-雄壮	0	0	1
-够格	1	0	1
-失明	11	1	3
-大权	4	1	20
-失时	1	1	2
-铁青	2	2	3
-残匪	1	0	0
-凤翔县	21	2	0
-示范性	5	98	0
-光机电	17	17	0
-公司法	92	94	27
-氯化银	1	1	1
-氯化铵	7	10	56
-妇孺	2	0	2
-女工	5	11	6
-万象更新	0	0	1
-白兰地酒	1	1	0
-培训	145	8463	467
-女巫	75	99	99
-欧式	99	57	1
-雾凇	7	13	4
-城郭	2	3	4
-大月	15	1	2
-东海县	54	6	0
-塑胶	93	1044	20
-雷动	7	2	8
-氯化锌	2	0	1
-土地法	3	3	5
-五粮液	38	12	2
-封锁线	0	1	6
-答辩	4	18	12
-卷烟纸	1	0	0
-开场白	0	0	2
-殃及	1	1	0
-蝇子	4	116	1
-楚雄	124	31	15
-城郊	41	41	1
-头数	0	4	2
-满园春色	1	1	0
-朝天门	8	9	3
-氯化镁	3	2	10
-技术员	1	24	26
-类比	21	19	8
-大曲	11	10	0
-打算盘	0	0	1
-门环	0	1	3
-雅士	19	15	7
-林果业	2	1	0
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-夜校	0	0	6
-隐形	199	199	7
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-没奈何	0	1	0
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-薪资	18	11	0
-观察家	2	1	6
-锁边	0	4	0
-恭喜发财	1	1	1
-竹马	33	12	25
-妙处	1	1	0
-声浪	3	4	1
-蜂拥	6	0	0
-橡皮	50	28	7
-链轨	1	2	0
-铸造	167	486	78
-硫磺泉	0	1	0
-死命	0	1	1
-徐汇区	14	21	0
-笑靥	3	4	2
-谋略家	0	1	1
-失业率	0	2	7
-井岸镇	1	4	0
-怀仁堂	1	1	0
-错谬	0	0	1
-陆架	10	6	1
-链轮	8	8	21
-此地	5	4	1
-如实	13	5	0
-墓碑	17	15	50
-难处	0	1	0
-糖衣炮弹	0	0	2
-失散	1	2	0
-奖惩	5	37	1
-奉承	2	0	1
-米汤	24	9	34
-大暑	0	1	2
-妓女	16	10	8
-分公司	3	39	2056
-平板车	0	1	6
-长老	22	40	68
-失效	15	68	39
-降服	4	1	1
-长者	15	14	9
-正在	7	13	4
-雪后	9	2	1
-土耳其共和国	2	4	3
-棉纤维	2	4	0
-妃子	17	10	7
-奋战	0	2	0
-紫光阁	4	5	1
-太阳灶	3	0	5
-钓鱼	141	142	125
-简要	2	7	1
-呐喊助威	0	0	1
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-教练车	0	0	2
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-宁海县	75	4	0
-糖化	20	9	1
-蛊惑	10	9	2
-香槟酒	1	1	2
-雄厚	0	1	1
-备用	33	28	7
-铅酸	20	23	1
-胡萝卜素	5	20	12
-死区	3	0	2
-正统派	0	0	1
-蛰居	2	1	0
-维护型	0	1	0
-姨娘	0	0	4
-歌声	30	72	47
-蕲春县	25	3	1
-童车	2	11	2
-蓝鲸	21	14	3
-塞规	1	0	8
-长笛	71	39	11
-天然	598	493	23
-清汤寡水	0	1	0
-沉积物	9	21	46
-雪亮	1	2	10
-难吃	0	1	1
-十月革命	7	2	2
-残兵	2	0	3
-隔夜	22	3	0
-填表	2	5	0
-失火	4	11	2
-填补	1	10	1
-雪人	54	23	70
-钨铁	1	0	0
-笔触	0	0	3
-海岸线	4	5	21
-糖厂	2	3	35
-塞翁失马	8	0	0
-水合物	5	18	150
-财政部长	0	1	1
-南加州	11	2	0
-藩篱	1	3	2
-量体裁衣	0	0	2
-矿务局	0	29	31
-殡仪	5	5	1
-纸上谈兵	1	0	3
-江淮戏	0	1	0
-失灵	2	11	15
-次年	0	1	0
-运算表	0	0	1
-家长里短	2	0	0
-雨伞	22	16	24
-姘居	0	0	1
-苏门答腊	35	13	0
-次序	2	12	5
-洛阳城	3	13	3
-雕凿	1	0	1
-联络官	0	0	1
-教育史	4	48	58
-糖原	18	4	2
-增色	2	1	0
-残冬	1	0	0
-阳新	51	32	1
-零下	11	6	0
-薯莨	5	1	3
-雅号	0	1	0
-阴文	1	3	1
-误码率	0	0	1
-复用	14	55	47
-欢庆	3	7	4
-歌女	8	5	13
-杜塞尔多夫	12	18	0
-死去	11	10	15
-病虫害	7	447	5
-名山大川	0	0	3
-民间舞	2	18	0
-防旱	0	2	0
-中碳钢	1	0	0
-窗饰	1	27	4
-马前卒	0	0	1
-白头到老	0	1	1
-财务科	0	0	1
-观察力	0	23	5
-米袋子	0	1	0
-格但斯克	14	6	0
-如期	0	1	1
-武器	108	373	414
-封闭式	52	23	0
-精囊	10	3	5
-欢度	1	2	0
-堵车	8	1	4
-套汇	4	0	0
-天文学家	1	3	5
-基隆	43	8	4
-款子	0	0	1
-北大荒	36	46	4
-小浪底	20	27	2
-训练馆	0	0	3
-门源	14	5	3
-箭石	2	0	4
-粗实	1	0	0
-镂花	2	2	0
-我行我素	1	1	2
-大爷	1	10	13
-藏羚	4	6	1
-拉巴斯	5	9	1
-抚今追昔	1	0	0
-阳文	7	30	1
-亚太地区	24	14	0
-随处	3	0	0
-如故	0	5	0
-镀膜	10	46	24
-钢铁	411	1147	49
-隐士	17	10	13
-形象思维	4	1	3
-控制线	0	8	5
-非贸易	5	5	0
-阻挡	9	14	4
-革命派	0	0	1
-雁北	18	5	2
-洋地黄	12	6	1
-稻飞虱	1	0	0
-横笛	1	3	4
-大火	8	11	12
-通权达变	0	1	0
-应答器	0	0	7
-如数	1	0	0
-地磁学	0	4	2
-鼓足干劲	2	0	0
-院庆	0	3	1
-根据地	2	117	100
-女权	17	20	1
-闲气	0	2	1
-步哨	1	2	2
-铭记	6	14	8
-篝火	7	4	6
-桃花鱼	1	0	2
-糊口	1	0	4
-姨夫	1	1	1
-楼道	4	7	2
-陷害	1	7	1
-委实	0	1	0
-看人下菜	3	0	0
-集刊	0	28	31
-决定书	0	1	12
-中子弹	1	0	0
-女杰	5	9	15
-阻拦	0	2	0
-锦葵	9	2	10
-大炮	78	53	95
-说服力	15	20	14
-天火	20	5	0
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-钉鞋	0	1	0
-心电图	55	86	22
-天灾	14	5	8
-钢针	2	1	1
-流动性	37	47	22
-钢钎	1	0	0
-难受	0	1	0
-长空	23	29	30
-同一性	0	7	2
-粪堆	3	0	0
-钢锯	0	11	0
-难友	0	0	1
-大烟	9	0	1
-钢锭	2	0	2
-画龙点睛	0	1	2
-北大营	4	2	4
-死力	2	0	0
-钩针	52	62	5
-闷气	0	1	1
-钨钢	24	11	15
-降龙伏虎	3	0	1
-夹层玻璃	4	1	4
-问津	5	9	6
-姥姥	5	5	6
-姨妈	2	10	6
-俯卧撑	3	0	8
-概述	2	18	77
-笨蛋	45	10	13
-新疆棉	1	0	0
-新生界	0	1	0
-粉尘	51	76	14
-封闭性	3	1	0
-雕像	5	17	151
-奸杀	0	6	1
-险工	1	1	2
-工字形	0	1	0
-陆战	23	11	1
-东鳞西爪	1	0	0
-模糊	123	74	19
-舌下神经	1	0	0
-熟地黄	9	4	0
-球蛋白	2	85	111
-竞逐	0	0	2
-粒子	71	119	90
-披沙拣金	1	0	0
-如春	0	11	0
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-省人大	1	2	0
-隔壁	42	16	32
-喷雾器	1	11	19
-委屈	2	4	4
-竞选	8	18	8
-钼钢	1	3	1
-管窥	11	11	19
-简约	70	73	22
-此后	5	0	1
-基音	1	0	0
-残余	45	17	1
-阿族	1	0	1
-笔译	3	51	11
-蛇形	28	7	2
-血细胞	21	13	12
-钝顶	3	0	0
-险情	0	2	4
-武口	1	11	1
-赤峰市	129	10	1
-死党	2	4	6
-钓饵	2	1	1
-阳朔	275	28	2
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-五常市	38	1	0
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-横截面	5	3	2
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-棕黑	4	0	0
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-一连串	0	1	0
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-姑婆	6	6	3
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-铁轨	6	6	3
-夹河	24	15	2
-棕黄	4	0	0
-法制化	0	7	4
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-氯化	259	268	2
-等角线	1	1	0
-靶场	5	3	12
-遗产地	0	6	1
-堵塞	6	29	18
-雷暴	21	3	10
-残月	3	6	10
-地矿	9	33	0
-震撼	60	86	21
-正比	2	4	0
-莱阳	86	21	1
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-看不到	1	0	2
-防线	1	25	56
-硬骨鱼	2	1	0
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-肯尼亚	59	15	3
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-革大	0	2	0
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-语言性	1	0	0
-噩运	2	0	0
-窗牖	0	0	1
-赤霉菌	0	1	0
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-步步	378	184	1
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-算卦	0	2	2
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-正殿	0	4	6
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-定向培养	1	2	1
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-开场戏	0	1	0
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-强身健体	5	5	0
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-四自	3	0	0
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-美人蕉	9	3	14
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-地磁	39	39	3
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-实证主义	7	5	4
-流速计	0	0	5
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-雄浑	4	4	0
-气团	8	3	15
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-堂弟	0	1	1
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-竹材	6	4	1
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-立法	50	365	70
-每当	8	0	0
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-隐现	1	0	0
-团总支	0	12	4
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-篆书	29	110	12
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-残杀	5	3	2
-葱花饼	0	0	22
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-气囊	21	29	36
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-牢不可破	1	0	0
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-会做人	5	12	9
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-闹腾	1	0	0
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-皮夹克	0	0	1
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-高压脊	0	0	1
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-签子	1	2	2
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-水体	45	35	9
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-篡位	3	1	3
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-鞋业	3	339	25
-种菜	4	31	8
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-此时	11	4	3
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-正式	40	170	3
-间离	1	1	1
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-合作医疗	1	111	4
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-笑影	1	1	4
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-随机	211	163	5
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-贝尔格莱德	19	1	2
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-笤帚	2	2	1
-蒙皮	4	1	4
-殆尽	0	1	1
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-门面	13	18	6
-电磁振荡	1	0	0
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-檀香山	9	4	3
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-音型	0	3	1
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-附议	1	0	0
-站票	0	0	1
-岳麓区	11	27	1
-稻谷	16	7	0
-四邻	5	0	0
-稽留热	1	0	0
-门阀	12	1	0
-雷电	170	101	32
-塾师	0	3	1
-门闩	2	1	1
-法典	5	163	0
-获奖者	1	82	0
-秦陵	8	0	0
-海洋年	0	5	1
-棉织厂	0	0	1
-控制阀	0	9	95
-韩城	50	25	4
-江心	36	15	0
-德士古	4	0	0
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-回避	17	35	21
-签收	2	0	3
-篡夺	0	1	1
-大亚湾	35	26	1
-股份制	21	27	5
-双月刊	0	0	6
-墓室	3	15	6
-橘黄	10	2	3
-其实难副	0	0	4
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-五步蛇	2	3	2
-计量秤	0	0	1
-檀香	33	17	13
-人身自由	2	1	0
-闪闪	42	17	12
-数字式	86	39	0
-脱色剂	0	0	9
-雪盲	3	0	0
-墓子	1	0	0
-箱底	1	2	2
-自然环境	8	23	5
-模糊数学	10	3	0
-汇报	2	16	10
-壮健	1	0	1
-篮坛	8	2	1
-葵花籽	6	2	4
-油品	44	33	5
-后天下之乐而乐	0	0	1
-龙门镇	3	0	7
-切割器	0	4	7
-图谋	2	1	4
-回归线	1	0	2
-自民党	0	0	2
-蔗糖	17	12	6
-童真	9	6	5
-醉生梦死	2	0	1
-笺注	2	6	73
-亚的斯亚贝巴	4	0	0
-图谱	2	171	1168
-陷落	7	13	12
-陈言	10	1	0
-坐船	0	0	2
-还原染料	3	0	0
-身无分文	1	1	0
-四通	23	73	12
-寄生物	1	0	7
-国语	39	68	37
-雪白	22	6	3
-洋媳妇	1	0	1
-锡林浩特	36	5	0
-沙堤	4	3	4
-回返	5	0	0
-图说	911	184	225
-闲钱	0	1	1
-协办员	0	0	1
-豁然开朗	0	0	1
-河唇	6	0	0
-关系史	0	43	41
-回迁	4	2	2
-歇脚	0	0	1
-民社党	1	0	1
-青椒	546	202	136
-军令如山	0	0	1
-棉兰老	7	3	1
-初始条件	1	0	0
-气柜	0	2	14
-看不惯	0	0	1
-百色市	52	3	0
-胜利果实	0	0	1
-回转	120	127	5
-门锁	0	11	31
-增大	1	6	7
-篆字	1	0	1
-回车	5	2	4
-鸡头米	9	2	1
-蚕丝	24	74	14
-图记	0	8	28
-建筑队	2	1	3
-染色剂	0	0	4
-能动性	0	0	8
-落难	12	5	0
-立秋	8	4	13
-争奇斗艳	1	0	0
-秋风	48	42	30
-靠枕	0	0	1
-韩国	1694	673	41
-泥人	8	9	10
-附言	2	0	0
-面条	31	52	137
-棉织品	0	7	0
-东倒西歪	1	5	1
-土蝗	0	0	1
-残破	5	2	0
-阴谋	35	61	167
-气枪	0	10	2
-治印	0	1	6
-声价	3	1	0
-毅然	0	5	16
-面板	13	46	63
-沾化	13	7	0
-阳谷	67	53	4
-虫卵	2	2	5
-采油队	1	0	0
-化妆品	133	553	98
-长期性	1	3	0
-增多	1	80	7
-四边	6	5	1
-何去何从	0	0	3
-代用品	0	1	0
-常德市	165	9	0
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-陈规	0	1	0
-蒙语	0	4	1
-暗无天日	1	0	0
-藤条	5	1	3
-水彩	36	46	0
-檀香扇	0	0	2
-三鲜汤	3	0	27
-契约化	0	1	0
-阐述	1	1	8
-竹简	12	15	11
-煤炭法	0	2	1
-竹签	5	5	0
-墙头	10	9	3
-死症	0	1	4
-调味品	20	125	13
-快餐店	8	8	34
-圆角	8	14	2
-回身	1	0	0
-梁沟村	0	0	1
-门铃	4	1	17
-霸气	19	7	3
-沙化	1	2	4
-挥之即去	0	0	3
-老街坊	0	0	3
-落马	21	5	1
-出口商	0	5	0
-霍然	1	0	0
-内塔尼亚胡	0	0	2
-沙包	14	2	10
-竹篓	3	2	0
-亲笔信	0	0	6
-沫儿	0	0	3
-穗轴	0	1	0
-蓑衣	22	22	11
-科龙	30	17	5
-壮伟	0	0	2
-嵊州市	79	10	0
-专业组	0	1	1
-蚁后	0	0	1
-每每	1	0	0
-凝结水	10	8	2
-道不明	0	1	2
-阿訇	0	1	4
-毒死	1	5	0
-过得去	0	0	1
-扬声器	10	10	30
-土蜂	4	10	10
-茶叶罐	0	0	9
-阿根廷	193	44	8
-管束	4	2	4
-汗孔	4	6	0
-市场化	21	91	9
-囚车	1	1	1
-否定性	0	1	0
-竹管	8	3	0
-乒乓球拍	2	0	1
-管材	17	85	36
-士人	4	31	6
-百分百23岁	0	0	2
-泰州市	264	15	0
-竹笋	191	142	128
-虎威	7	6	12
-想入非非	1	1	3
-青梅	41	27	38
-每次	10	4	0
-竹竿	11	8	8
-汪塘	4	7	0
-庄园主	0	0	2
-革新	20	59	41
-壮乡	11	1	0
-八卦掌	12	12	33
-海洛因	6	2	2
-壮丽	21	8	3
-社会活动	1	3	0
-琉璃寺	3	0	0
-油亮	0	1	0
-治乱	5	5	3
-乳腺瘤	0	1	0
-薄片	15	21	27
-坎肩	1	1	17
-稿酬	0	1	0
-陪葬	2	7	0
-露水	26	8	6
-壮举	0	3	5
-染色体	113	74	107
-虞城	14	7	1
-填平	1	2	0
-竹筏	1	2	1
-音响	74	236	133
-无所适从	2	0	0
-欢聚	7	4	0
-天然气	177	355	14
-声乐	70	152	7
-竹筒	66	34	7
-良辰美景	1	1	1
-谍报员	0	3	2
-音品	0	0	1
-竹笼	6	1	1
-圆规	3	1	5
-正确	38	121	6
-各显其能	0	0	1
-挥发性	17	13	1
-稀饭	7	1	35
-墙壁	11	13	3
-油价	5	5	2
-韵味	4	3	4
-汤头	21	11	16
-发明家	1	21	16
-乳腺癌	42	10	23
-草木犀	5	0	2
-软硬件	3	25	2
-土蚕	0	0	1
-全方位	67	103	1
-竖线	1	1	2
-永州	145	30	3
-乌鲁木齐县	23	0	0
-相亲相爱	3	1	5
-江天	18	28	6
-图解	1735	736	922
-毛泽东思想	65	26	2
-沉吟	3	1	6
-教务处	0	6	16
-水平	259	775	174
-切入点	1	0	7
-团费	0	1	1
-浓缩铀	1	0	1
-磁带机	1	0	1
-陶艺	16	64	26
-隔绝	4	5	2
-财政危机	1	1	0
-虹吸	38	13	6
-墙基	2	1	1
-陨落	11	7	28
-德文版	0	0	5
-霉烂	0	4	0
-附表	1	0	0
-分列式	1	0	0
-水底	29	10	4
-汇展	0	11	1
-筹款	0	2	0
-虎头	112	56	12
-季风性	0	4	0
-蓝藻	11	12	1
-油井	22	8	7
-十全十美	3	1	11
-壮丁	1	1	2
-虹口	31	65	2
-回路	35	115	67
-卡那霉素	5	5	6
-治丧	0	0	1
-骨子里	1	1	4
-社会工作	94	86	0
-青果	33	20	3
-汉寿	18	4	3
-水床	1	3	4
-水库	132	307	2037
-差额选举	0	1	1
-帕特里克	144	44	22
-窝藏	5	1	0
-咸水湖	0	0	3
-崇明岛	5	4	0
-青松	51	42	59
-汉字	298	410	106
-南瓜子	9	3	6
-草石蚕	3	0	0
-出勤率	0	0	1
-红筹股	3	1	0
-汉子	1	6	27
-音名	0	4	0
-汉学	10	65	16
-康必得	0	1	0
-水工	110	91	1
-面料	6	111	165
-非国有	2	10	0
-蓬莱	246	67	23
-取之不尽	3	0	0
-音变	1	3	3
-欠缺	0	0	1
-雪球	35	21	38
-种鸽	0	2	0
-残片	1	3	23
-统一党	0	0	8
-震灾	4	5	1
-青杨	14	2	9
-笔直	3	4	1
-如来佛	3	6	2
-穆迪	11	9	14
-半元音	1	0	2
-风和日丽	8	1	1
-通用化	1	1	1
-电热水器	1	9	46
-算术	41	63	44
-音叉	17	4	2
-罗马教皇	1	0	1
-观察站	0	1	0
-民房	0	18	3
-八卦拳	0	2	7
-弥勒县	5	4	1
-霞浦	33	9	0
-百花山	12	2	1
-东乡县	21	2	0
-罗曼史	3	8	81
-水巷	2	3	2
-箔条	1	1	0
-出发地	0	1	0
-突袭	42	61	48
-激浊扬清	1	0	1
-东港市	34	2	0
-宝安区	16	92	0
-院落	2	5	8
-回赠	1	2	0
-青木	107	28	11
-隐约	4	2	0
-水师	14	39	0
-求得	0	1	1
-残疾	13	47	17
-梅河口	16	4	0
-长春站	1	0	0
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-塔形	9	6	0
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-蓄谋	1	0	0
-合并症	0	2	4
-油光	9	4	0
-马其顿共和国	1	0	0
-光辉灿烂	1	1	0
-火车头	13	22	9
-长龙	19	13	0
-秘鲁	160	22	2
-氏族	14	89	33
-穿行	8	13	12
-修理工	1	38	15
-灾害源	0	0	2
-连衣裙	0	2	23
-管教	3	11	4
-暴风骤雨	1	0	0
-正章	0	1	0
-民族	616	3015	89
-型砂	6	2	1
-泊位	7	3	5
-穿衣	17	26	7
-武穴	24	0	1
-应有尽有	3	0	0
-江山	221	223	145
-稳重	0	0	1
-讷河市	12	0	0
-战技术	0	0	1
-窖藏	0	14	13
-人种学	2	0	0
-沧县	16	7	2
-种鸡	1	6	2
-音协	0	7	0
-虎尾	27	21	15
-没命	0	1	0
-巡逻舰	0	0	10
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-音区	0	0	1
-音节文字	0	0	1
-康乃馨	21	7	8
-软硬兼施	3	0	0
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-永恒	284	202	133
-百科辞典	0	11	22
-阴极射线	12	3	0
-胶印机	3	12	4
-水情	0	5	3
-墓场	3	2	12
-土著	23	18	8
-江安	29	17	4
-大余县	11	2	1
-特产税	0	1	1
-共和国宫	1	0	1
-秃鹫	2	3	12
-秃鹰	24	6	7
-求异	4	1	0
-鞭子	1	2	8
-图表	49	181	0
-出口型	0	2	0
-陀螺	65	51	42
-土葬	0	0	4
-虎将	4	13	32
-长鼓	0	0	5
-河内	33	31	1
-发明奖	0	0	6
-残留	32	154	8
-篮子	7	42	19
-塔式	42	33	0
-一衣带水	1	0	0
-蓼蓝	2	0	0
-除草	8	7	4
-沙哑	0	1	0
-围观	5	6	4
-不买账	0	0	1
-青春	834	688	400
-圆融	15	17	6
-礼仪之邦	2	2	1
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-钓鱼台	31	17	18
-民政	55	74	7
-粉末状	1	1	0
-相思子	3	0	3
-热交换	7	8	6
-空袭	21	15	19
-算是	1	7	0
-毛毯	0	5	9
-太平间	4	0	2
-音势	1	0	0
-人头马	10	2	0
-抢手货	0	0	1
-毛毡	12	49	12
-沈园	5	3	1
-打字机	1	0	9
-汇差	1	1	1
-渥太华市	0	1	0
-沛县	68	13	1
-治保	0	1	0
-毒气	8	34	9
-堵截	1	0	1
-喉擦音	0	0	1
-比比	31	22	6
-恶作剧	25	9	45
-虎子	2	2	46
-圪节	0	4	1
-汕尾	99	15	0
-赤霉病	0	0	4
-称颂	0	1	1
-欢腾	4	7	4
-汇市	5	7	3
-液化气船	1	0	0
-毒汁	1	0	0
-墓园	3	12	107
-笔画	16	164	67
-算数	12	10	5
-回访	2	5	4
-海洋学	4	8	20
-龙潭湖	5	2	2
-天荒坪	4	3	1
-博物馆	72	394	3840
-国家级	110	1393	0
-朝阳门	10	11	1
-圣药	1	5	2
-零点	113	58	28
-俯仰之间	1	1	0
-长鸣	2	1	0
-紫丁香	10	2	8
-堆栈	11	0	5
-老先生	0	1	0
-雷炮	0	0	2
-苏铁类	0	1	0
-东源县	8	2	0
-喇叭口	2	1	2
-江孜	27	1	1
-雪片	2	6	2
-结晶硅	1	0	0
-真相大白	2	0	2
-保护金	1	1	0
-境外	84	93	1
-墓地	41	30	231
-电热水壶	0	0	10
-水患	0	0	1
-池子	8	11	4
-残生	0	0	4
-计划生育户	1	0	0
-沪剧	12	4	0
-沃土	9	8	8
-竞技场	6	37	145
-禽鸟	7	28	18
-等温	19	8	0
-忻州市	66	2	0
-朝阳镇	3	4	0
-巡逻艇	0	0	9
-统一体	0	2	3
-比武	2	6	6
-闲适	4	8	3
-闲逛	1	2	0
-震源	11	13	17
-鞋底	15	8	8
-面授	1	1	0
-土地证	1	1	1
-虚妄	3	1	1
-篦子	6	1	4
-培植	2	8	9
-爱国志士	1	0	0
-感生电流	1	0	0
-茴香豆	0	1	1
-圭臬	1	1	0
-沙参	108	81	55
-结构图	0	27	18
-保加利亚	114	12	4
-出口国	0	1	0
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-鞋帮	1	0	2
-沙发	43	67	102
-韶光	6	6	6
-鞋帽	2	16	2
-辩护权	1	0	0
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-吐绶鸡	2	0	1
-地膜	4	10	10
-韶关	180	23	0
-龙胆科	1	0	0
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-围裙	4	5	16
-音准	0	4	0
-水性	175	114	21
-半部论语	6	0	0
-芸芸众生	1	0	0
-菜馆	0	1	30
-穿山甲	13	8	14
-浪淘沙	82	16	4
-汉墓	3	133	95
-化妆师	3	8	17
-国难	3	6	4
-塘沽	47	54	2
-音像	28	318	6
-冷水江市	24	3	0
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-大原	20	2	0
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-大面积	7	4	0
-震洲	0	0	2
-霸权	29	36	18
-大厦	18	471	3290
-进步奖	0	4	9
-天华	35	94	37
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-夹克	3	4	17
-箭头	18	23	6
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-营部	0	2	0
-大厂	29	22	0
-基石	5	28	50
-萨那	13	7	3
-地道	33	72	0
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-雇用	3	6	0
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-增援	1	0	3
-沁入	2	0	0
-声威	4	2	3
-民建	11	7	4
-母机	0	0	2
-失利	0	2	0
-岁月悠悠	0	0	1
-大卡	21	182	38
-水口镇	1	74	3
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-窝窝	25	13	23
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-多半	1	1	0
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-闽西	37	12	0
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-垂范	1	0	0
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-问诊	4	5	3
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-中央人民广播电台	3	2	0
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-叫卖声	0	0	3
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-孕吐	1	3	0
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-顾及	0	0	2
-板胡	7	3	1
-婺源	123	29	7
-桐林	13	3	6
-松脂	12	6	1
-福相	1	1	0
-拉下马	0	0	2
-字句	0	2	8
-纪检委	0	0	2
-安全系数	1	0	0
-桐柏	35	12	7
-有轨	6	11	0
-权衡	10	5	8
-学刊	0	34	106
-失陷	1	0	0
-学分	5	92	0
-立像	0	4	112
-存取	8	33	9
-桑果	5	2	1
-棚圈	0	2	0
-赤眼蜂	1	0	15
-夜餐	2	0	1
-除锈	2	19	10
-月轮	4	6	0
-桑林	6	8	3
-竞争	160	729	154
-棱台	0	0	1
-优惠卡	0	3	5
-奥运	299	445	56
-枯竭	3	17	7
-院长	7	26	16
-祸福	0	1	1
-蝰蛇	6	9	22
-顿号	0	4	3
-陨铁	2	1	9
-衷曲	0	0	1
-字卷	0	0	1
-宁乡	54	14	11
-顺和	9	22	12
-季刊	1	3	11
-糊涂虫	3	0	1
-大面	10	4	7
-金枪鱼	102	70	24
-琼斯伯勒	1	0	0
-灵武市	16	3	0
-姑苏	45	23	2
-五星红旗	4	1	0
-妖言	0	0	1
-白头偕老	1	0	1
-血液	203	195	16
-章丘	62	8	2
-话里有话	1	0	1
-颁发	1	11	0
-奥迪	190	78	9
-颠倒	34	13	18
-奖金	6	24	34
-秦汉	154	116	14
-百里挑一	1	0	1
-碳酸	100	108	8
-夜风	3	3	0
-老伙计	0	6	2
-竞价	31	41	23
-裙子	4	10	31
-雅观	1	0	0
-它们	9	12	1
-大钟寺	5	2	1
-窝囊	3	2	0
-勾股定理	2	0	4
-夜饭	0	0	2
-学部委员	2	2	3
-碑阴	2	1	1
-阴魂	9	3	3
-面皮	3	8	37
-安乐	95	46	20
-音效	7	24	22
-安义	19	11	10
-植入	0	1	0
-东正教	11	9	2
-学力	1	3	0
-碘甘油	1	0	1
-桑树	75	12	2
-面盆	3	8	5
-几内亚比绍	11	1	0
-期货	300	737	216
-外耳道	14	15	0
-梵宫	4	0	3
-面相	9	20	13
-娟秀	1	0	0
-肠伤寒	1	0	0
-字号	2	15	8
-枣糕	4	4	27
-批评家	1	7	1
-标点	8	10	2
-哈尔滨	2186	347	15
-站住	3	6	7
-站位	1	3	5
-头陀	10	9	12
-院门	0	6	6
-机要	10	8	5
-守业	0	2	16
-好走	0	0	1
-学制	0	8	19
-架空	73	39	0
-木讷	2	0	1
-面目	4	2	9
-血清	129	44	37
-公平交易	2	7	1
-安上	5	4	6
-巧夺天工	5	0	1
-大韩	31	14	0
-椭圆体	0	0	1
-事不过三	0	0	1
-恻隐之心	1	0	0
-女高音	1	24	9
-磁道	2	2	1
-特殊性	9	6	4
-安丘	78	5	0
-朝贡	4	6	0
-糊涂蛋	0	1	0
-超霸杯	0	0	3
-学位办	0	6	0
-多聚糖	1	0	0
-比重计	1	0	9
-柱石	6	21	26
-杂质	14	20	17
-溪口镇	2	0	3
-大项	2	0	1
-杂货	8	31	20
-暮鼓	1	0	1
-大老婆	2	0	2
-杂费	0	0	5
-梨园戏	2	2	1
-姜芋	1	0	1
-顶嘴	1	1	1
-松藻	5	4	3
-查禁	1	0	0
-遗产税	0	3	5
-风火轮	10	3	5
-白炽灯	2	2	3
-预告	12	10	12
-饱和溶液	0	1	2
-限额	16	34	60
-稍息	2	0	2
-国库券	4	2	3
-东山县	36	1	0
-砭骨	0	0	1
-桫椤	16	17	22
-头雁	0	1	2
-军乐队	0	0	5
-周期表	0	6	0
-新华社	32	12	0
-孤单	59	18	35
-天顺	24	47	26
-完事	1	0	0
-蜡质	3	3	0
-环城路	0	4	0
-姻缘	13	34	59
-桐油	11	1	6
-正三角形	1	0	0
-韵文	3	11	7
-硼酸	37	123	125
-游击战	1	7	26
-宏业	7	76	22
-记录本	0	0	1
-稻子	2	1	3
-瓷板画	5	1	7
-隆重	2	7	2
-零落	5	0	6
-权责	9	1	1
-题写	0	2	0
-大额	21	13	0
-预后	4	2	2
-曲霉	6	38	12
-安享	0	1	0
-领取	0	4	1
-朝野	9	5	5
-西方化	0	1	1
-松蘑	8	5	1
-权贵	4	2	3
-领口	1	2	3
-社科	22	111	1
-秘本	2	6	8
-未遂	3	7	0
-棉布	6	11	11
-降香	5	4	1
-宋代	301	94	2
-桃源	151	143	38
-永垂不朽	0	1	5
-无人区	2	1	11
-曲靖	102	31	1
-翼手目	1	0	0
-完人	0	2	5
-果苗	0	1	1
-头面	6	8	4
-险阻	1	0	0
-雨蛙	3	1	22
-曲面	21	130	30
-棚屋	0	2	4
-机身	9	1	0
-秤星	3	4	0
-难说	2	4	1
-林荫	29	13	1
-裁定	2	10	10
-社稷	13	4	6
-面砖	0	7	10
-条规	0	6	2
-枝节	1	1	3
-驻马店市	77	0	0
-东山区	4	29	0
-种棉	1	2	0
-松虎	0	1	3
-大风	71	52	21
-林草	2	5	4
-水电站	101	71	2372
-桔黄色	0	2	0
-种植	43	416	60
-表明	1	3	2
-秦昌	5	0	0
-克林顿	24	8	21
-宏亮	1	5	33
-士大夫	2	12	1
-一无所有	0	3	5
-孔雀舞	0	1	0
-稿子	1	0	0
-杏黄色	0	1	0
-护卫舰	2	5	421
-失音	3	2	10
-学历	24	143	0
-空吸	0	19	0
-有钱	19	28	0
-除险	0	15	0
-大凉山	2	3	2
-金鹏奖	0	0	1
-大餐	2	3	23
-落水管	0	0	1
-末班车	0	0	9
-护卫艇	0	0	24
-枪膛	3	0	1
-学友	9	110	24
-除非	3	0	0
-宋体	2	1	6
-妙计	4	12	38
-文明礼貌	1	0	2
-募兵制	0	0	1
-本部	1	10	15
-大饼	3	2	30
-祈祷	18	26	49
-领唱	0	1	1
-租期	0	0	2
-励精图治	1	1	0
-防洪法	0	8	1
-稷山	24	6	0
-果茶	2	25	93
-肾结核	2	0	1
-档次	1	0	0
-磁感应	8	4	0
-陶铸	6	2	0
-林莽	1	3	3
-隔墙有耳	3	0	0
-险隘	0	0	1
-积攒	1	0	0
-澳大利亚	557	130	32
-学名	1	9	2
-纤维植物	0	1	0
-突发	107	251	2
-展示会	0	2	24
-烟火食	0	0	1
-震荡	23	25	25
-突变	43	76	108
-软饮料	6	5	2
-蜗轮	32	34	2
-宏伟	34	59	111
-合理性	1	12	6
-存储器	11	12	72
-妙语	24	59	37
-安保	15	42	7
-服装店	13	15	28
-机车	79	196	192
-冷藏法	0	0	2
-积数	1	3	0
-立足之地	0	0	1
-子囊	12	2	4
-越狱罪	0	0	2
-蝙蝠	232	95	69
-预售	2	23	4
-妙论	0	1	1
-妙诀	0	1	3
-标的	3	11	6
-椅垫	1	0	0
-衣服	13	35	63
-除雪	4	2	0
-守信	3	12	42
-青稞	27	6	3
-岫岩县	6	0	0
-祈福	60	31	10
-突厥	52	34	6
-血水	4	0	1
-窃取	4	10	3
-安倍	49	4	0
-梅林	73	75	45
-欧锦赛	1	0	3
-中外古今	2	0	0
-音板	0	1	19
-女郎	9	85	317
-黄豆芽	81	29	68
-禁猎	4	12	1
-霉菌	41	41	84
-定下	0	1	0
-空哥	0	3	0
-学员	1	30	4
-青竹	31	25	8
-好转	1	2	1
-娇纵	0	1	1
-大冶市	26	3	0
-血气	15	6	0
-日入而息	0	0	1
-农作物	62	97	3
-为什么	190	654	139
-士多啤梨	5	2	0
-私欲	1	0	1
-索韦托	3	0	0
-衣柜	9	34	66
-机载	55	26	0
-奇闻	9	36	16
-守候	18	4	19
-一般性	11	5	0
-衣架	5	12	28
-好过	0	3	0
-锡林郭勒	15	8	0
-定义	11	74	43
-秦朝	27	10	4
-茶余饭后	1	1	0
-切割机	2	29	207
-桥段	0	0	2
-枣茶	1	1	86
-秤杆	6	2	0
-宗亲	1	94	3
-项圈	6	5	0
-朝鲜泡菜	1	0	0
-官事	1	0	2
-好运	65	52	0
-集训	1	55	51
-运费率	0	0	1
-非礼	4	8	0
-材质	17	96	20
-头顶	17	6	3
-砖瓦窑	3	2	0
-侧目而视	0	0	1
-电力线	22	7	0
-头领	2	5	5
-头颅	3	6	13
-头颈	31	84	0
-果菜	8	25	5
-窃听	9	5	0
-宜丰	27	7	1
-点名册	1	0	0
-装填	4	2	2
-莱姆病	2	0	2
-广水市	24	1	0
-大写意	1	3	1
-桨板	2	0	0
-奇险	1	1	0
-磁悬浮	28	18	4
-武当山	80	16	8
-艾菲尔铁塔	4	0	1
-行期	0	1	0
-地址码	0	1	0
-宝丰	51	61	8
-末路	46	13	19
-被害	3	9	2
-棍子	2	10	6
-南半球	1	4	2
-定于	1	1	1
-裁处	0	0	5
-气吞山河	1	0	0
-宋健	14	1	0
-实业	15	4931	87
-无往不利	2	1	0
-官人	5	6	18
-音标	4	20	27
-大马	99	49	6
-维他命	22	32	7
-莫力达瓦	7	3	0
-雨衣	2	2	12
-嘴皮子	0	0	1
-血案	2	11	57
-档案	191	1165	582
-得意忘形	0	0	1
-桧柏	2	0	3
-被子	5	1	0
-桥栏	0	1	0
-定亲	2	0	1
-北卡罗来纳州	3	0	0
-延寿县	21	2	0
-孵化	17	104	13
-春江花月夜	2	1	0
-奉陪	3	2	0
-秀气	1	2	2
-桂江	6	7	9
-顽固	11	4	1
-松萝	11	3	7
-巴伊亚州	3	0	0
-娇羞	0	0	2
-区域化	6	18	5
-拖拖拉拉	0	1	0
-南化塘镇	1	1	0
-桦树	30	4	3
-天骄	40	89	44
-果肉	7	14	10
-娇美	3	2	0
-天马	102	171	26
-青筋	1	0	1
-桃汛	1	0	0
-发面饼	2	0	27
-蝎虎	7	0	4
-面积	32	131	236
-定价	32	297	113
-宜人	3	4	9
-杜衡	1	1	2
-颓唐	1	0	0
-昏天黑地	1	0	0
-饺子馅	1	0	20
-实习	68	571	111
-录音机	2	4	12
-阿扎尼亚	1	0	0
-蝌蚪	27	39	15
-梯形	38	32	5
-装备	98	1277	206
-杂记	3	21	79
-人民团体	0	1	1
-从从容容	1	0	0
-头饰	1	8	38
-习用语	0	0	1
-孔型	2	10	1
-奶酪	256	339	123
-蝉蜕	8	4	3
-官位	1	1	0
-棒子	7	13	9
-保护林	0	0	1
-桥梁	230	329	48
-实事	1	11	2
-街景	5	8	7
-孵卵	1	0	1
-蜾蠃	3	3	31
-新叶村	0	0	1
-隧道	161	300	501
-宣东	1	1	4
-的里雅斯特	7	3	0
-行李	12	31	10
-喷火器	0	0	41
-子堤	0	1	2
-颤动	6	9	10
-存在	11	53	63
-树状	15	2	0
-客串	4	0	0
-铁饭碗	0	0	1
-福特	125	161	100
-果胶	15	14	6
-陷阱	48	107	274
-党代表大会	0	1	3
-蝇蛹	1	0	0
-裁夺	0	3	0
-零蛋	0	0	1
-连平县	16	0	0
-棋局	1	16	21
-安全	1083	8787	649
-鞭炮	2	13	14
-定位	120	540	283
-本身	4	6	5
-杂说	2	4	10
-程控	44	40	0
-篮球场	2	0	10
-嬷嬷	2	5	13
-威胁	10	33	30
-积木	50	41	67
-风习	0	1	0
-果脯	12	11	23
-小家鼠	0	0	1
-田径馆	0	0	1
-领土	15	14	28
-守军	1	0	21
-杂谈	2	6	41
-字型	1	39	8
-税捐	1	0	0
-实价	1	0	0
-梦想	303	389	289
-顺境	1	2	0
-袜底	2	0	0
-妙趣	29	14	6
-雅趣	7	9	10
-黄粱一梦	2	0	0
-甜言蜜语	1	0	1
-私法	24	34	9
-顶多	1	2	0
-权谋	14	24	9
-诸子百家	30	11	14
-领地	14	20	79
-健力宝	4	9	1
-穷困	2	1	0
-霜花	6	3	1
-近在咫尺	2	0	2
-雀跃	0	1	4
-望都	25	5	2
-袜带	1	0	0
-杂豆	12	14	4
-绝对真理	1	0	0
-完全	505	2262	2
-蝈蝈	6	9	12
-客人	5	11	30
-黑暗面	1	2	2
-集贸	0	4	0
-根源	5	23	54
-柳眉	6	0	1
-夹馅	4	5	0
-自由放任	2	2	1
-集资	5	18	7
-积极	138	143	4
-实体	83	82	43
-硫化钠	1	0	6
-审价	1	1	1
-套间	2	1	0
-曲阜	204	21	2
-穷国	0	3	0
-风仪	1	0	9
-雄踞	1	0	0
-糙米饭	0	1	15
-桉油	3	4	2
-秋毫	3	0	5
-松蕈	0	0	1
-瓜亚基尔	4	0	0
-安分	9	9	0
-守则	0	19	119
-曲阳	53	25	0
-渭南市	43	7	0
-实例	18	2301	1389
-蝗虫	21	6	12
-好日子	17	17	0
-妇道	2	0	1
-棚子	4	30	2
-蜀都	18	12	1
-头马	1	9	6
-优惠价	1	0	5
-硼钢	0	0	2
-蛋青	0	4	0
-导火线	4	0	2
-衣料	0	0	2
-防龋	0	1	1
-子夜	49	9	14
-祝福	35	39	70
-挥发油	3	1	1
-安利	75	31	14
-穗子	2	3	10
-禁用	0	2	0
-宣传	46	419	29
-本轮	1	0	1
-风云	235	528	688
-补救	5	8	5
-秋水	39	27	33
-空地	6	12	3
-秋汛	0	0	1
-路人皆知	0	0	2
-稚拙	1	0	0
-无影灯	5	0	3
-天元战	0	0	3
-宫中	22	5	3
-科罗拉多河	4	0	1
-碘酸	18	14	6
-长江三峡	35	5	0
-头骨	7	32	37
-客体	12	20	55
-林芝	73	18	6
-守卫	67	170	78
-行文	3	8	13
-战利品	1	0	5
-森严	0	0	4
-硅钢	0	7	3
-复印纸	0	1	11
-磁强计	0	0	3
-淋巴管	10	18	3
-安南	47	26	15
-蜂起	1	1	3
-中青年	5	33	0
-隔岸观火	1	0	1
-集约	11	31	1
-门首	0	1	0
-河曲县	15	0	0
-打油诗	1	2	1
-集纳	2	1	0
-隐蔽	55	21	1
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-阴道	84	100	8
-孕妇	140	77	7
-神物	1	4	3
-秋收	3	4	2
-夜鹰	15	16	105
-查清	1	0	0
-布加勒斯特	28	7	0
-人民币	136	108	36
-柳江	28	13	2
-官兵	4	21	5
-官儿	1	0	4
-树梢	2	5	4
-硝酸	152	66	6
-比利时	267	35	6
-机芯	3	4	19
-硝化细菌	1	0	4
-战斗性	1	0	1
-安化	77	18	0
-磊落	9	2	7
-果盘	2	7	22
-破除	10	4	0
-销售额	3	1	10
-血本	0	1	1
-梗塞	2	10	37
-祭灶	7	0	1
-伊拉克	90	37	19
-字头	1	12	4
-韦尔	97	279	75
-留余地	0	0	1
-浠水县	21	1	0
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-安居房	0	1	0
-果皮	3	4	3
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-集结	17	58	6
-稚子	6	8	2
-导火索	1	0	1
-袜子	8	38	26
-塔吉克	13	9	0
-树桩	8	0	1
-碧血	56	18	5
-标榜	3	19	5
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-福气	12	7	6
-青洲	15	9	2
-衷心	0	2	1
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-长征三号乙	1	0	0
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-稻场	0	2	0
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-太平鼓	1	0	6
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-姿色	2	2	3
-被套	2	0	0
-威舍	1	1	0
-爆破组	0	0	1
-破门	5	1	3
-行政	1099	3920	52
-嬉戏	8	3	8
-暗门	1	0	3
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-战略家	1	6	3
-子女	19	159	33
-租户	0	3	1
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-问题	136	4382	1380
-陆路	6	13	1
-冰球馆	0	0	4
-火烧火燎	1	0	0
-越狱犯	0	0	3
-磨耗	10	16	2
-大鱼	55	51	26
-青海	694	123	31
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-字里行间	1	0	1
-零碎	10	12	5
-权能	2	4	3
-随时随地	18	2	0
-供应量	0	0	5
-空位	5	1	2
-空余	0	2	0
-棍儿	0	1	5
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-定做	2	18	4
-稗子	6	2	3
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-氰化氢	0	1	2
-家用电器	50	82	6
-果皮箱	0	4	0
-稚嫩	0	2	1
-高风亮节	1	0	0
-鞭打	10	4	1
-药物学	2	7	28
-程序	235	3159	573
-维多利亚州	0	1	0
-秃杉	1	0	1
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-家仇	1	1	2
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-杏脯	0	1	4
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-非洲	610	266	78
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-甚高频	6	2	0
-稳妥	2	3	0
-奋勇争先	1	0	0
-家什	0	0	2
-破鞋	2	0	4
-地方主义	0	2	1
-难胞	0	1	0
-家产	1	4	0
-科教	29	141	3
-稠密	5	2	1
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-思前想后	0	1	1
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-武工队	2	0	10
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-腐殖质	6	1	5
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-单行线	2	0	4
-战略学	0	2	6
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-宠儿	4	9	13
-梆子	2	14	34
-催泪弹	0	0	1
-极端	75	40	4
-石鼓	56	28	4
-青滩	1	1	0
-太平天国	116	31	2
-束缚	21	21	16
-血栓	45	74	26
-滋阴壮阳	3	2	0
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-妖道	3	1	4
-柳泽	17	1	0
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-私有	20	22	0
-家书	8	64	115
-条约	12	74	29
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-磷肥	6	5	12
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-衰弱	5	2	3
-红楼梦	266	136	220
-听而不闻	0	0	1
-纵断面	3	4	5
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-被动免疫	2	1	4
-末节	1	2	5
-裤兜	4	0	0
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-天麻	199	78	42
-蚕食	4	4	1
-露珠	18	20	1
-桥山	4	4	3
-脑血栓	8	3	6
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-韵尾	0	1	1
-子实	3	22	3
-福清	156	39	30
-窗上	1	1	2
-实利	3	2	0
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-威廉斯堡	4	0	0
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-附近	1	24	6
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-上半期	0	1	0
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-表彰	1	201	0
-宗匠	3	0	3
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-定势	5	7	8
-延庆县	58	31	0
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-梦呓	4	0	3
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-机耕	3	7	0
-集聚	16	199	12
-稻壳	9	3	1
-枯燥	2	1	0
-宝刀	6	4	16
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-钢铁长城	0	1	0
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-奔驰	185	85	21
-突击	79	574	83
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-祥瑞	24	50	26
-参谋长	2	9	6
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-突入	1	1	0
-孙子	203	174	25
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-青灰	6	2	0
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-袖子	0	4	4
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-碱草	0	1	16
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-蜘蛛	280	170	215
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-安国	70	32	46
-雁荡	90	44	2
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-确认	9	51	22
-孤寒	2	0	2
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-叱咤风云	3	1	1
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-有请	2	1	0
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-综合治理	2	89	20
-桂林	1051	153	105
-桁架	8	9	11
-梦寐	5	1	4
-安塞	50	36	3
-顺价	1	0	0
-子弹	53	72	103
-跑步器	0	0	1
-碎裂	13	8	1
-裁员	5	14	8
-表弟	1	1	4
-根植	0	2	2
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-分类法	1	2	98
-补征	1	1	1
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-阿布哈兹	7	0	0
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-一帆风顺	3	3	2
-硅酮	12	27	7
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-子弦	1	0	1
-测量学	14	36	42
-硅酸	53	50	7
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-字幅	0	0	1
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-蠢材	1	0	0
-三脚架	2	0	4
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-来自	214	300	0
-凝固点	1	3	2
-蜡虫	0	0	2
-蜜蜂	196	136	74
-顺产	5	5	0
-裂口	10	2	2
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-荣事达	84	16	1
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-宣告	12	7	10
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-始起	0	1	0
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-氯化物	5	3	13
-险象环生	1	3	1
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-表尺	0	0	5
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-表层	22	17	16
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-寒假	22	34	0
-左邻右舍	2	2	2
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-雪耻	2	0	0
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-磨练	0	3	4
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-梅岭	30	21	9
-行当	0	5	10
-街巷	3	13	10
-鞋油	1	0	7
-桑拿	33	76	4
-科技	693	36474	1401
-排行榜	2	51	264
-顺便	1	0	1
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-街市	11	5	10
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-阵阵	2	4	3
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-青玉	272	130	8
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-仙桃市	121	5	0
-阴阳	300	158	29
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-比什凯克	2	2	0
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-被单	2	2	0
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-狂风暴雨	2	0	2
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-书报刊	2	4	1
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-圣太田	2	4	0
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-独生子女户	0	1	0
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-积德	8	1	7
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-雌蕊	3	0	3
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-西坑	11	8	2
-定居	4	12	4
-浓浓的	1	3	0
-概预算	1	74	53
-理事国	0	0	5
-退伍军人	5	16	0
-秫米	1	2	0
-深水港	1	5	2
-学报	4	98	1313
-补票	0	0	2
-小个	1	1	0
-顶效	3	3	0
-等分	4	14	0
-婺绿	1	2	1
-要图	0	2	0
-颖慧	0	0	9
-柴草	4	0	0
-夕阳红	7	10	10
-柳荫	8	13	4
-观众	12	20	10
-杂食	9	2	0
-一百单八将	0	0	7
-棕树	10	9	2
-监管部门	0	3	0
-宫娥	1	1	0
-完工	5	8	1
-宝宝	1325	3030	441
-嫣然一笑	1	0	0
-季报	0	8	3
-宜宾	260	46	3
-椽子	1	0	0
-袖珍	229	198	1
-害处	0	1	1
-宽城	18	5	2
-棍棒	13	1	0
-秋耕	1	0	0
-旁门左道	2	2	2
-鞋舌	1	0	0
-童工	1	13	1
-淡淡的	7	3	1
-宗山	6	11	12
-立意	2	1	5
-肆无忌惮	1	0	1
-桦甸	13	3	0
-表示	6	61	21
-家塾	1	6	3
-波特兰	26	9	2
-宝安	82	107	24
-阿司匹林	38	7	8
-家境	0	3	2
-要地	1	1	2
-北岳区	6	0	0
-氧化物	7	40	44
-生产方式	2	14	28
-对偶	21	3	1
-颂扬	0	2	0
-防洪堤	0	4	30
-立志	15	47	57
-杂面	1	5	17
-禽肉	3	4	0
-风头	3	7	2
-林贝	5	11	1
-交叉科学	1	7	1
-磁鼓	3	0	0
-查获	0	1	0
-油压机	0	4	4
-概况	0	47	325
-销售网	0	0	11
-补码	0	0	3
-端子	17	40	69
-基础教育	50	236	17
-各显神通	0	0	2
-村长	4	11	10
-椭圆形	14	10	0
-木马	78	190	117
-知名度	1	3	6
-室女	34	3	2
-唱红脸	0	2	0
-嬉水	1	7	0
-吉布提	18	3	2
-竞争力	17	461	162
-梯次	2	1	0
-飞地	7	3	4
-存折	1	6	12
-通报会	0	1	0
-窃案	0	0	2
-武侯区	26	9	1
-餐具	13	52	63
-童山	1	5	5
-椰子	177	119	56
-符咒	5	8	11
-附加刑	0	1	0
-祝语	0	0	1
-封三	2	3	0
-常青树	5	7	2
-神话	159	560	355
-个体户	1	0	0
-小河子村	0	0	2
-称称	0	2	0
-长城站	0	1	3
-封一	1	1	0
-血粉	0	0	7
-穿梭	33	28	17
-棍术	4	1	8
-祝词	0	2	0
-大脖子病	1	0	0
-等值	15	15	0
-定婚	1	0	1
-完小	0	8	57
-村镇	35	368	247
-杀青	6	3	3
-定子	32	9	11
-楚国	20	7	4
-预报	11	217	197
-苯乙烯	18	30	17
-样稿	0	0	1
-富商	7	10	6
-见习	40	47	2
-杂音	2	3	17
-梁山县	13	4	0
-学习者	1	19	5
-科级	1	8	3
-宗室	7	6	6
-痢特灵	1	0	0
-竭尽	1	0	0
-楚囚	3	0	1
-秸秆	99	42	3
-导体	2	21	21
-生成素	0	7	12
-咽峡炎	0	0	8
-雄风	26	33	67
-孔雀石	7	5	5
-地质队	1	1	23
-开天窗	0	5	2
-夏商周	11	9	7
-血糖	16	116	19
-出水管	2	3	0
-寓教于乐	1	1	0
-嫣然	6	5	16
-见于	0	6	0
-保护率	0	0	4
-秦篆	0	2	1
-税目	1	4	2
-官子	4	13	7
-硫化黑	4	0	1
-祁连	39	10	1
-风姿	14	2	3
-韬略	5	15	21
-丹阳市	100	7	0
-礼遇	1	0	1
-颖悟	2	1	2
-三维集	1	0	0
-棉桃	0	0	1
-顿时	1	3	0
-宽大	2	2	0
-栲胶	1	4	9
-同心同德	2	1	0
-表皮	37	48	13
-雨露	12	8	11
-和光同尘	1	0	0
-顶替	2	0	0
-阳春白雪	3	1	0
-印度洋	32	26	5
-汽油弹	0	0	1
-私章	0	0	1
-泸州市	77	7	0
-信阳县	0	1	0
-小住	0	1	0
-楼头	0	1	1
-表盘	3	0	3
-穿插	2	2	0
-寿光	130	43	7
-榫卯	2	1	0
-私立	76	168	1
-保险局	1	0	2
-血管	196	459	33
-尚且	0	1	0
-区域性	37	19	2
-专利权	31	21	3
-要命	9	11	9
-表白	5	8	7
-窃据	1	0	0
-棺椁	2	1	2
-六边形	5	6	7
-宗师	5	41	54
-安徽	5225	341	31
-安心	49	36	8
-风尚	70	182	66
-宫室	2	2	2
-数字网	1	2	3
-风尘	49	23	20
-补益	54	29	3
-衣着	3	4	1
-笔划	0	4	2
-露一手	0	7	1
-行程	15	47	26
-冷血动物	2	0	0
-内出血	0	2	7
-秤盘	1	0	0
-笑剧	0	0	2
-尚义	11	7	19
-雕饰	2	16	2
-尘事	1	0	0
-调和漆	0	0	4
-波伦亚	6	0	0
-最轻量级	0	0	1
-秋种	0	14	0
-导出	8	16	1
-预支	1	2	1
-雪雕	0	3	0
-尚书	130	103	83
-印度河	13	0	0
-稳扎稳打	2	2	0
-种禽	1	10	0
-顺服	0	0	1
-孩提	1	0	0
-定州	47	12	4
-教师节	0	5	2
-顶板	19	11	4
-蜡黄	6	2	0
-完美性	1	0	0
-散货船	0	1	3
-封关	1	0	1
-事业性	1	41	0
-小便	33	41	1
-书写纸	0	0	1
-孝敬	14	6	3
-解毒剂	0	0	3
-小修	2	2	0
-种种	3	7	6
-守恒	3	16	28
-褒扬	2	5	1
-高频电波	1	4	0
-预料	0	3	6
-领教	0	1	0
-喜新厌旧	1	0	0
-封冻	3	1	0
-一无所知	1	1	1
-雨靴	0	1	2
-宁愿	9	3	0
-威达	5	35	4
-静观	14	5	5
-风岗	1	1	2
-抵押品	0	2	0
-核能	41	35	7
-瘦西湖	7	6	2
-淮安市	177	14	1
-困难户	0	1	1
-电动泵	1	0	2
-天演论	2	2	4
-检点	0	0	3
-宗庙	5	5	5
-树藤	0	1	0
-雪青	5	2	11
-宰客	0	3	0
-礼让	10	8	6
-雨鞋	1	1	0
-遗传学	39	102	102
-势不可挡	2	0	0
-庄稼汉	2	0	0
-安庆	402	67	27
-紧急状态	4	4	2
-校舍	3	94	3
-审定	1	35	6
-卫生防疫	5	27	1
-知书达理	3	0	0
-纳税人	24	28	14
-竹叶	143	50	20
-窒息	20	9	9
-青梅竹马	3	9	6
-酒石酸	44	42	13
-客官	2	0	0
-西吉	15	11	2
-大凌河	4	0	0
-秧田	30	14	0
-事业心	0	1	0
-安度	10	0	1
-定岗	2	7	0
-餐厅	98	229	479
-栽绒	2	4	0
-零钱	5	5	1
-开封市	198	13	0
-行礼	1	1	0
-唯心论	0	2	0
-霜霉病	3	3	81
-战略性	42	63	0
-客家	269	188	31
-宜山	12	13	2
-宁德	114	28	6
-容声	53	4	0
-宋庄	23	9	5
-小事	10	29	50
-并网发电	0	3	1
-审察	1	2	1
-小于	7	4	3
-飞天	215	125	34
-可怜虫	1	1	0
-嫌疑	2	1	5
-宋平	13	1	5
-烟消云散	0	3	1
-飞夺	1	2	0
-五官科	33	48	0
-这么样	0	1	0
-袖珍型	3	1	0
-安康	201	103	26
-普天之下	2	0	0
-对光	2	1	0
-木地板	5	17	42
-桀纣	0	1	1
-宇宙观	2	4	9
-融通	22	42	13
-科研	69	473	18
-小产	2	0	0
-家奴	0	0	13
-妖魔	19	10	7
-扭力天平	0	0	1
-飞奔	6	4	8
-独领风骚	6	0	2
-成功者	20	28	4
-树葬	0	1	0
-少于	1	0	0
-宝岛	59	36	5
-身份证	25	34	32
-西周	423	56	4
-风寒	33	7	5
-对公	9	3	0
-法兰克福	79	43	6
-小人	71	158	76
-杜马	24	9	5
-国宾馆	0	5	36
-楦子	0	0	1
-小令	1	4	9
-终南山	9	15	6
-宦官	7	13	9
-富国	1	0	0
-非公有制	7	30	0
-肾结石	4	2	2
-要员	2	2	6
-对内	6	0	0
-桃红	42	54	12
-小仓	41	2	3
-校花	29	38	25
-雷锋	67	103	23
-对冲	39	14	19
-窝心	5	2	1
-双周刊	0	0	1
-分秒必争	0	1	1
-血站	7	3	143
-小件	1	2	7
-极限	328	285	0
-非行	0	0	1
-字数	1	3	1
-尘世	36	18	5
-风害	0	0	3
-小传	1	7	44
-小伙	7	4	10
-板障	1	0	0
-导入	12	61	14
-笃厚	2	0	0
-对准	2	5	5
-客居	3	1	0
-补白	2	0	0
-图书奖	0	2	17
-中外比	1	0	0
-不可思议	95	98	14
-存放	2	9	2
-西北	788	393	20
-税率	6	8	60
-果酒	4	11	6
-竖子	2	4	1
-季春	8	7	6
-多功能	502	510	2
-记录器	0	9	24
-西化	5	10	1
-栗色	27	9	1
-风干	32	27	1
-定律	0	94	1020
-客店	3	3	3
-童女	4	3	4
-安慰	15	15	24
-对口	24	36	3
-定形	0	17	4
-蟋蟀	31	21	43
-竹园	40	41	24
-百炼成钢	1	0	1
-小儿	1154	219	16
-脑电波	1	0	4
-定影	6	2	0
-朱鸟	2	0	0
-要务	0	1	1
-家小	1	45	0
-对号	5	3	0
-章丘市	73	11	0
-花园口	5	2	2
-笔名	0	2	2
-青豆	128	107	65
-蟒蛇	12	9	10
-小农	6	6	9
-树荫	3	1	4
-保护神	0	5	14
-家属	5	25	3
-过得硬	0	1	0
-实录	6	180	670
-顶棚	9	11	1
-蜡像馆	3	1	25
-逻辑推理	9	15	5
-棺木	2	1	0
-风帽	0	0	6
-降雨量	1	0	2
-黑瞎子	3	1	0
-客座	3	2	0
-京剧院团	0	2	0
-氟化钙	3	0	0
-果酱	104	102	141
-家居	395	1399	0
-预期	46	40	18
-被减数	0	0	1
-少儿	384	752	7
-窜扰	0	1	0
-风带	0	2	2
-须根	3	1	2
-果酸	6	31	7
-拦河坝	1	0	2
-学时	1	28	15
-四面楚歌	1	0	1
-实弹	2	2	0
-寒士	1	0	1
-专家组	0	6	5
-系列片	0	3	4
-寿县	75	22	13
-宾客	6	7	11
-低等动物	0	0	1
-福荫	1	3	4
-珂罗版	4	0	0
-雾霭	1	0	0
-礼赞	0	6	22
-静谧	10	4	1
-棕毛	11	1	0
-雀麦	9	1	70
-开小差	0	0	1
-存栏	0	1	0
-树莓	19	13	9
-寒夜	20	10	5
-蟑螂	40	6	30
-雄鸡	19	12	6
-食心虫	2	5	12
-存查	1	0	0
-棺材	37	27	17
-板锯	0	0	3
-对味	0	1	0
-宽容	28	24	16
-铜陵市	185	6	0
-宫川	14	1	0
-顶楼	8	2	0
-黏合剂	0	2	9
-宏愿	0	0	1
-寒天	6	4	2
-稀疏	12	5	3
-导向	39	220	63
-西单	24	54	1
-尖儿	0	1	5
-雀鹰	0	3	20
-实心	16	14	0
-西南	1282	406	18
-寻呼	7	5	6
-存根	3	0	9
-畜产品	13	23	2
-积石	13	5	1
-西华	147	43	9
-风度	20	16	22
-定性	41	75	6
-碱金属	3	1	0
-惯用语	3	40	3
-滑冰场	0	0	10
-西医	44	128	4
-字根	3	14	6
-西区	19	66	59
-字样	0	1	2
-寻味	9	1	1
-小刀	17	12	19
-笔势	1	0	0
-穿堂门	1	0	0
-立定	6	2	5
-检波	3	1	6
-中低产田	1	2	0
-选拔赛	0	10	34
-参议院	0	5	9
-颤抖	17	5	4
-社论	2	2	2
-飞宏	1	2	3
-狐狸皮	1	0	0
-表现	51	833	354
-飘尘	0	2	0
-切尔诺贝利	22	9	1
-棠棣	9	6	1
-禁药	0	4	2
-杨陵	9	2	0
-整容术	0	0	1
-空政	4	1	0
-人工呼吸	0	1	2
-笔力	2	1	0
-墨绿色	0	2	0
-湟中县	16	4	0
-动植物	25	116	17
-官府	9	8	3
-枢轴	1	0	0
-安息	46	55	2
-要冲	0	1	0
-射击	102	169	203
-仙后座	8	1	0
-秉笔	0	2	0
-森林	685	3116	496
-捷克共和国	2	0	0
-核电厂	93	37	10
-松江县	1	0	0
-小尾寒羊	7	2	4
-炸虾球	0	0	11
-天南海北	1	0	0
-孕期	88	51	2
-楔子	0	0	3
-图书城	0	1	8
-风雨飘摇	1	0	0
-空文	0	0	1
-政务院	3	4	2
-将军	242	611	520
-电熨斗	1	2	6
-柳州市	211	15	0
-社评	0	2	1
-端坐	2	0	0
-进一步	11	1052	0
-表率	1	6	5
-禽类	8	9	1
-枣阳市	27	2	0
-层出不穷	1	0	0
-化学系	0	1	25
-小偷	36	13	61
-棣棠	5	1	3
-雷霆	133	60	27
-尘俗	0	5	0
-家宴	6	18	15
-流量表	0	11	8
-童声	10	26	7
-存有	0	0	2
-休息日	0	0	4
-宝座	2	24	47
-成昆线	4	0	1
-家室	0	2	0
-风帆	16	30	14
-寻医	7	5	2
-秤砣	7	1	1
-空旷	2	1	0
-窗户	5	13	14
-相关性	5	42	12
-宣州	126	26	4
-富士	621	109	18
-检测	73	3478	578
-实干	1	3	2
-食宿	1	1	0
-宝应	41	13	2
-尤为	0	1	0
-竹器	2	0	2
-宝库	8	142	64
-窗扇	0	1	0
-煤成烃	0	1	0
-家宅	2	25	10
-褶子	0	1	7
-计量学	4	38	24
-雷雨	39	10	14
-木鼓	3	7	4
-食客	9	13	11
-斯洛文尼亚	24	3	1
-树苗	3	5	8
-个人主义	5	5	3
-查血	0	1	0
-寸口	1	1	2
-萨满教	1	4	4
-要则	0	1	3
-孤旅	0	3	5
-抗坏血酸	6	9	3
-松针	29	9	5
-熠熠生辉	0	0	2
-七叶树	3	2	16
-西城区	14	74	1
-客帮	0	0	1
-定弦	0	0	1
-空明	6	3	0
-磨难	3	6	12
-礼貌	14	32	10
-游标卡尺	0	0	4
-家家	50	81	19
-宣布	3	23	0
-倾斜角	0	1	2
-国产化	1	2	0
-尤其	4	0	0
-查缉	1	0	0
-立场	5	26	30
-木门	26	58	83
-公明党	0	0	1
-小吃	12	117	149
-楷书	67	487	98
-小名	1	2	1
-梗概	0	5	6
-立地	20	8	5
-韩江	18	8	0
-坦克师	0	0	1
-寡妇	35	30	29
-危险物	1	0	0
-小叶	308	55	10
-黑木耳	208	61	105
-小号	21	29	0
-飞人	9	20	21
-树种	2	38	20
-顶子	1	13	7
-柳絮	15	9	7
-标竿	2	0	2
-最高	140	179	2
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-机防	1	12	0
-食具	0	4	1
-风压	11	9	6
-穷寇	3	1	1
-蛙鸣	4	1	2
-机队	1	0	2
-国籍法	0	2	4
-寸头	0	0	1
-积水	9	13	27
-民主集中制	4	2	0
-对外	381	524	0
-宽恕	11	7	5
-志在千里	1	1	1
-有机合成	32	37	4
-机降	1	1	1
-宿怨	0	0	4
-文言文	37	216	22
-穴居	12	8	0
-孔洞	2	2	1
-额外	29	5	1
-封堵	3	18	3
-阳谷县	40	2	0
-立冬	3	0	8
-对头	3	2	0
-风化	41	52	17
-彩陶文化	1	0	0
-梅港	1	1	1
-额头	8	3	4
-领导	609	2027	155
-富康	16	35	11
-赞叹不已	1	0	0
-富庶	4	0	0
-袖标	0	0	1
-寨子	29	66	9
-空客	19	3	1
-天罗地网	2	1	2
-见习生	0	2	3
-戏剧节	0	1	16
-知识化	1	2	3
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-山上	24	57	6
-贤内助	1	1	0
-朱雀	77	40	40
-山下	61	53	11
-雨量	13	14	6
-沧海桑田	7	1	1
-梭梭	11	11	3
-燃料箱	0	0	1
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-小姑	11	3	4
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-雁窝岛	3	1	0
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-机长	3	4	6
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-寥廓	2	1	1
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-支持者	2	5	0
-窗子	1	4	2
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-磁针	2	2	1
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-喇嘛教	2	1	1
-不能不	4	32	0
-定案	1	2	5
-山丹	46	27	5
-频带	8	7	8
-定格	17	23	4
-对岸	6	3	5
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-层叠	13	10	6
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-客机	1	57	93
-万泉河	16	15	2
-小娃	1	2	1
-经济昆虫	5	1	1
-射孔	4	5	2
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-山东	6747	607	43
-祖师爷	1	0	3
-湘乡市	30	3	0
-山丘	9	10	17
-导尿	1	1	0
-雁阵	8	1	0
-国际音标	8	39	23
-山顶洞人	6	0	1
-禽畜	3	1	0
-穹庐	3	2	4
-太行山区	1	1	0
-训练场	0	1	4
-寄托	5	2	4
-集镇	2	134	235
-分光镜	0	0	4
-联系卡	0	0	2
-特长生	0	7	6
-根瘤	6	5	2
-端倪	1	0	5
-炮台镇	0	2	0
-蛋黄	195	132	15
-望风	13	1	0
-面色	13	4	0
-青葱	19	13	2
-尊姓	1	0	0
-集锦	4	89	339
-封存	5	5	9
-蓬莱仙境	1	2	0
-实权	1	1	0
-对局	3	41	0
-鸭嘴兽	4	3	4
-顾念	1	0	0
-小妞	6	18	17
-哗众取宠	1	0	0
-顾忌	0	1	3
-空幻	2	4	3
-简分数	0	0	1
-有鬼	2	9	29
-正当年	0	0	3
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-捞一把	0	0	1
-最高价	0	0	1
-螺丝钉	2	1	3
-梅派	3	1	2
-缘缘堂	6	3	5
-飞吻	1	0	2
-尘埃	34	32	40
-寰岛	2	10	1
-楷体	3	3	1
-黑名单	7	3	19
-展览室	0	0	1
-木雕	143	250	91
-客星	1	3	0
-神聊	1	0	2
-棚户	1	1	0
-村野	4	1	0
-尘垢	2	0	0
-大分子	7	13	0
-螃蟹	111	52	132
-村里	11	20	2
-学派	2	120	524
-屋内	3	0	0
-大红鹰	1	12	0
-磨蹭	0	1	1
-梧桐	110	86	43
-青菜	211	141	93
-实景	41	39	4
-竹乡	5	3	22
-剖腹产	5	2	0
-谷氨酸	25	32	27
-蛋鸡	50	43	28
-安溪县	84	13	0
-威风	14	9	5
-染色	70	84	71
-税款	11	12	8
-点石成金	25	7	7
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-穹幕	1	0	0
-密码机	0	0	1
-决定论	1	4	34
-尖塔	5	5	16
-少壮	6	2	0
-稀泥	0	0	1
-居功	1	0	0
-中译本	0	1	3
-莱索托	17	2	0
-树立	7	27	23
-印刷体	1	2	3
-额定	56	44	0
-定期	68	81	8
-窑子	5	7	1
-小声	0	1	0
-朱门	17	3	6
-顺心	3	10	4
-杜邦	45	11	10
-亮闪闪	0	0	2
-宪政	73	114	21
-一致性	14	14	12
-梁沟	0	2	0
-竹下	14	1	1
-顺德	234	431	25
-脑血管	76	56	0
-学法	6	46	0
-朔风	5	8	0
-窝头	5	9	57
-两面针	4	5	1
-寒心	4	0	2
-种牛	0	7	0
-领带	6	20	8
-碑额	0	0	2
-裙带	11	3	1
-嫡系	1	0	0
-积温	0	1	4
-尘土	7	6	10
-宜春	200	25	11
-顽强	7	6	4
-鞋粉	1	0	1
-根由	0	2	1
-康涅狄格州	1	6	0
-丰富多彩	2	2	0
-立即	17	11	0
-窄小	1	0	0
-宣教	1	22	1
-服饰	134	1998	501
-实时	99	108	3
-华西村	7	2	5
-楼下	11	15	5
-楼上	26	19	2
-寒微	0	3	2
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-如此	42	179	42
-首先	8	8	3
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-短袜	0	0	1
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-飞机	231	401	493
-天皇	22	35	149
-娇宠	1	3	2
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-三元里	24	24	0
-杜鹃花	33	18	19
-娇客	0	0	1
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-塘边	5	13	0
-太白	183	81	9
-中上游	1	2	0
-大盘	67	57	0
-蜂王	12	3	2
-科举	28	52	10
-短裙	5	1	13
-知觉	28	28	45
-大盐	4	0	0
-披星戴月	2	1	0
-短裤	3	7	22
-堤防	17	15	3
-种仁	0	3	1
-电灌站	0	0	27
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-杂牌军	1	0	7
-田纳西州	1	4	1
-饱嗝	1	0	1
-礼拜天	1	0	1
-独角戏	0	0	4
-有教无类	1	0	0
-飞架	0	2	0
-枯骨	8	8	4
-塞车	0	0	6
-小淘气	25	3	9
-重武器	3	1	3
-票子	0	2	2
-幸运儿	2	5	5
-天目	136	88	6
-太监	16	25	24
-娇小	3	2	2
-模仿	28	53	17
-头疼	1	8	5
-示意	1	2	1
-娘娘	30	20	61
-靛青	11	0	2
-委托	87	80	52
-椰汁	149	90	5
-禅堂	7	1	3
-劫机犯	0	0	1
-奉献	14	18	15
-打群架	0	1	1
-个体化	5	12	3
-急转弯	1	207	50
-爬行动物	7	18	21
-硼砂	12	9	5
-首创	46	36	1
-馆名	0	1	0
-飞桥	1	0	2
-天真	45	19	26
-顶用	0	1	0
-头痛	43	37	116
-士绅	2	7	2
-娟好	1	0	0
-泛太平洋	9	5	0
-婚前	49	14	0
-震撼力	1	0	0
-自治权	0	4	4
-栖身	1	1	1
-蒿子秆	3	0	4
-栈道	1	12	42
-鞠躬	5	3	4
-碳酸气	1	0	0
-颓然	1	0	0
-郎溪县	31	3	0
-格言	63	102	86
-梅园新村	2	4	1
-短见	1	0	0
-祖师	19	53	38
-蠕动	15	11	10
-桂西	8	5	0
-神崎	32	0	0
-零售价	0	1	1
-多礼	0	0	1
-腰椎间盘	46	24	0
-短视	1	0	1
-钻井工	1	0	0
-龙爪槐	1	0	1
-信阳市	103	3	0
-外科	241	1178	112
-禽兽	14	9	10
-留下来	1	1	3
-时不我待	0	0	1
-休息室	2	0	2
-非难	0	0	1
-奸淫	2	1	0
-面陈	0	2	0
-燃烧弹	1	1	11
-外秘	0	2	0
-缝纫机	4	27	26
-蜡烛	43	39	54
-血丝	3	6	17
-增补	14	47	1
-梳篦	0	5	1
-步步为营	1	2	4
-上层建筑	3	1	4
-海平线	1	1	1
-秘书	193	314	150
-福地	20	34	23
-柜门	0	1	0
-编辑家	1	2	0
-螺帽	4	0	4
-椰油	9	2	1
-破脸	0	2	0
-查铺	1	0	0
-秘事	0	12	23
-大石	119	61	11
-奖牌	2	6	33
-桑给巴尔	14	1	0
-声级	3	9	8
-多福	13	26	0
-零售业	23	47	4
-美院附中	1	2	2
-横井	3	0	0
-概括	9	9	10
-馆员	0	14	8
-声纳	7	4	13
-变戏法	0	1	0
-生理学	47	176	128
-上海街	3	1	1
-编辑学	8	17	13
-离别	37	31	29
-套版	0	1	0
-开封县	36	1	0
-楠木	39	23	5
-碧玉	125	76	44
-敏感度	3	1	13
-静音	28	38	9
-鹅卵石	7	4	4
-石西	7	8	0
-证交所	0	1	3
-藏香	6	14	7
-头皮	25	5	9
-冰川期	1	0	0
-捅马蜂窝	1	1	0
-折旧率	0	0	1
-血亲	2	3	7
-韭芽	9	3	2
-果木园	1	0	0
-墨菊	2	2	4
-离乡	5	2	1
-保险杠	0	1	3
-血亏	0	1	0
-优秀奖	0	1	3
-饭后	8	1	1
-米高梅	7	1	0
-馅儿	0	12	1
-离乱	2	3	4
-着魔	1	0	0
-棉秆	2	0	0
-里程碑	3	9	15
-教练员	4	23	3
-风机	51	242	285
-神威	23	22	25
-蜗牛	142	94	149
-血书	2	0	3
-首任	2	12	0
-等速运动	1	0	0
-私下	1	1	0
-首份	0	2	0
-邵东县	23	4	0
-路易港	1	1	0
-国家税务总局	59	5	0
-上海交大	33	5	0
-复印机	16	20	23
-娃娃	198	532	359
-奥津	2	1	0
-小金库	1	14	0
-秀丽	51	15	66
-世青赛	0	0	1
-妖术	6	2	2
-训练课	0	36	16
-外皮	3	4	2
-肯尼迪	42	40	54
-老有所养	0	1	0
-目击者	14	22	7
-楝树	2	9	6
-直罗镇	2	0	0
-随想曲	0	4	17
-碘片	0	0	2
-预热	11	26	3
-标量	11	7	4
-婚俗	2	14	68
-姑息	6	3	1
-标金	1	6	0
-离任	5	12	1
-原始林	2	4	3
-音节	3	12	28
-外相	2	0	1
-离休	2	16	0
-牙周炎	1	1	11
-外省	3	0	0
-礼帽	0	3	7
-黔西南州	83	8	0
-成员国	0	19	4
-蟒山	4	6	0
-柔韧	7	3	1
-麻豆腐	0	3	5
-转型经济学	0	0	2
-妙曼	0	0	1
-烟草业	0	1	0
-音色	6	7	11
-芭蕾舞剧	13	6	1
-核试	0	1	0
-水利部	83	20	1
-顶牛	4	0	0
-私事	2	1	2
-香会	0	3	7
-辉钼矿	0	1	0
-私了	0	0	1
-破天荒	5	1	2
-首例	0	4	0
-土家人	2	3	0
-营造尺	1	0	0
-海魂衫	2	0	1
-大田	153	62	13
-植物	1106	1893	645
-饱受	1	0	0
-大会计	0	1	0
-磁浮	15	10	0
-查阅	1	6	0
-祖孙	4	3	0
-能见度	7	3	17
-梅花	332	382	124
-娇娆	1	1	1
-保险期	1	0	0
-血仇	1	1	1
-娇娃	5	17	39
-顿然	0	1	0
-填词	5	6	5
-露馅	1	1	0
-韵致	2	1	0
-票夹	1	0	0
-武邑县	3	0	1
-销售点	2	2	1
-示弱	0	0	3
-躬行实践	1	0	0
-天电	1	2	0
-滑动轴承	11	11	16
-担保人	1	0	3
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-硫化物	8	4	22
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-行为	253	1547	694
-革新派	0	1	2
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-哈工大	27	4	1
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-行东	0	0	1
-饰品	14	260	117
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-私产	4	0	1
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-大略	1	27	14
-祖宗	16	14	10
-私交	2	0	1
-行业	170	2782	154
-天生	152	56	37
-水漫金山	1	0	0
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-蚕茧	12	9	6
-饱和	77	102	11
-模具	389	1988	208
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-肉包子	1	1	31
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-蛋类	4	2	1
-头球	1	4	7
-部长级	0	8	0
-祭天	12	10	4
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-硬质合金	30	60	7
-人机对话	0	1	1
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-工程队	0	0	3
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-矿藏	1	3	3
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-共和国	262	287	375
-娉婷	4	2	12
-投机商	0	1	1
-祭奠	8	7	10
-石蜡	17	11	14
-碟片	6	3	1
-大使级	0	1	0
-蛾眉	16	58	6
-饶命	0	1	3
-好歹	2	0	2
-中国馆	0	2	6
-保险柜	2	4	24
-姿容	1	0	0
-顽石点头	0	0	2
-露骨	1	2	0
-枯木逢春	0	0	1
-行事	1	14	8
-观世音	24	27	8
-宿豫县	1	0	0
-塑造	71	141	60
-商业楼	0	0	2
-神宇	2	8	1
-硫磺	57	21	6
-好比	1	6	0
-姊妹饭	1	0	0
-砖茶	3	1	21
-算井子	1	0	0
-看不起	0	3	0
-关系网	3	0	5
-行书	126	631	96
-娇嫩	4	7	0
-行乞	1	0	3
-梯级	14	60	1
-娄子	11	1	0
-神学	21	81	78
-禁地	7	12	27
-电焊机	10	14	7
-韭菜	696	363	192
-行乐	2	27	9
-人寿保险	14	161	16
-顺眼	0	0	2
-单片机	416	494	41
-电力局	0	2	16
-馋嘴	31	8	1
-妙法	21	44	53
-商业法	0	4	1
-风洞	16	22	0
-玉渊潭	6	3	0
-福分	0	2	5
-失神	6	3	1
-铁一局	0	20	1
-甲状腺炎	2	2	28
-检索	20	366	195
-颠狂	2	0	0
-天空	275	343	400
-天穹	5	1	20
-失禁	1	6	35
-历久弥新	0	2	1
-媒介	223	223	43
-页码	0	0	5
-声腔	1	3	4
-观测点	0	1	17
-食欲	5	4	1
-风流	225	153	157
-鞣酸	14	3	0
-柴门	10	3	3
-福利	92	408	83
-媒人	2	0	2
-惊天地	1	0	0
-顾盼	7	1	1
-虚荣	7	3	4
-榴弹	6	158	16
-徇私舞弊	7	5	0
-消费资料	1	0	1
-礼宾	9	12	2
-巡逻员	1	0	1
-预算法	0	3	11
-鱼类学	3	1	2
-打工仔	4	3	3
-宣汉县	42	19	0
-风浪	6	11	3
-朝气蓬勃	1	0	0
-奏疏	2	0	18
-处级	1	0	3
-电热毯	3	1	4
-失礼	2	1	1
-通心粉	10	21	85
-处罚	1	358	31
-实在论	6	6	11
-娼妓	3	5	4
-禀告	0	2	0
-棕竹	7	5	8
-编辑器	0	17	53
-禁吸	1	0	0
-大笔	5	4	0
-塔钟	0	3	1
-娼妇	1	0	1
-痛不欲生	1	0	0
-大笑	18	3	5
-卓有成效	26	6	1
-增订	10	39	0
-棉籽	9	1	1
-始末	3	14	70
-多糖	13	66	89
-君主立宪	3	6	0
-侵权人	0	0	1
-速度计	0	1	0
-天竹	5	10	7
-天竺	71	99	11
-功夫片	2	0	1
-超现实	11	7	0
-处置	6	262	67
-吃一堑	3	0	0
-株连	3	0	1
-鞍钢	41	9	3
-局域网	126	113	28
-枯黄	0	0	2
-增设	0	9	0
-老爷爷	4	4	8
-环氧树脂	68	58	21
-乡规民约	0	2	0
-须知	1	12	61
-大站	5	4	0
-别来无恙	1	2	5
-太空	663	369	81
-七嘴八舌	1	0	0
-天窗	6	7	23
-祭器	1	1	1
-工程量	32	220	4
-内切圆	0	0	2
-祠堂	9	33	131
-金丝猴	17	16	17
-清仓查库	0	5	0
-萍乡市	132	7	0
-案语	0	10	0
-套用	2	2	1
-粤菜馆	0	0	1
-轻武器	6	11	6
-大端	6	1	3
-飘泊	5	1	2
-改邪归正	1	0	0
-槟子	1	0	0
-顽石	9	3	4
-蛋白	158	775	1145
-石门镇	0	1	2
-堂鼓	0	3	5
-复线	3	6	22
-河北省	991	71	0
-城口县	87	5	0
-饥寒	2	1	1
-深水炸弹	1	1	5
-若要人不知	1	0	0
-三级跳	1	13	8
-直肠炎	0	0	12
-碎片	25	40	94
-樱内	2	0	0
-飘洒	0	2	0
-棕箱	0	0	1
-失窃	5	25	2
-威慑	4	5	3
-大篆	1	2	0
-媒体	174	775	199
-警示录	0	6	38
-棋类	2	23	0
-候选人	2	5	8
-石蒜	7	9	24
-排除法	0	1	3
-来访者	0	3	3
-姚方	1	0	0
-斜风细雨	0	1	0
-楚歌	4	0	2
-风湿	129	128	4
-祠墓	0	1	13
-硝石	3	4	4
-婺剧	0	3	1
-主谓句	0	0	1
-七巧板	10	7	26
-常熟市	328	9	0
-五笔字型	130	56	16
-青鱼	47	48	52
-飘流	4	11	1
-神女	25	21	11
-上高县	22	5	0
-先天性	305	38	0
-志留系	0	2	1
-穿透力	0	0	2
-飘浮	11	4	1
-婀娜	6	0	2
-备考	12	505	25
-风源	1	6	0
-风雨如晦	1	0	0
-棉絮	1	0	1
-备耕	0	2	0
-食油	0	1	1
-枯草热	1	0	0
-牙周病	3	4	0
-神妙	10	4	0
-帮倒忙	1	1	0
-蜡油	5	0	5
-飞泉	3	8	6
-阿克苏	95	25	1
-饮子	0	1	124
-阿米巴	31	27	16
-硬盘	136	203	130
-梨膏	1	6	18
-少年报	0	2	5
-碱渣	0	0	1
-洪雅县	7	0	0
-迪斯科	12	12	8
-声色	26	3	5
-福华	13	41	34
-肩胛骨	3	1	1
-东方红三号	1	0	0
-委曲	3	0	0
-模压	17	16	0
-凑热闹	1	0	0
-楼板	17	13	21
-祭坛	5	17	26
-塌陷	14	26	18
-壮苗	1	0	1
-石蕊	4	1	3
-工程部	0	4	8
-水压机	0	0	2
-奶牛	191	86	44
-产蛋率	1	0	0
-上半叶	0	4	0
-叶锈病	0	0	8
-神奇	794	640	21
-随机应变	0	0	4
-方向感	1	0	0
-疾风劲草	2	2	0
-石臼	19	5	1
-领班	1	6	7
-夏管	1	0	0
-必要性	1	0	2
-碧水	76	75	12
-李先念	8	3	0
-福鼎市	46	4	0
-祖国	90	126	71
-壮美	3	3	0
-饭堂	2	2	3
-虫草	399	284	50
-横卧	1	0	0
-硅砖	0	0	5
-瓮安县	10	1	0
-须生	0	2	2
-硅石	3	1	7
-展览品	0	3	2
-墙角	12	2	5
-顺畅	2	6	2
-淘气鬼	4	1	2
-矽肺	2	3	3
-革除	4	0	0
-饮水思源	1	7	0
-疟原虫	2	2	3
-嗟来之食	0	0	1
-眷顾	1	3	1
-娘子	48	56	72
-祭台	1	3	2
-头目	5	7	12
-头盔	20	9	145
-奖状	6	4	6
-禁军	1	3	6
-战列舰	0	10	253
-星期三	9	7	11
-礼拜堂	0	0	34
-袖珍本	1	2	4
-买入价	0	1	3
-星期一	13	6	18
-无底洞	0	1	10
-加尔各答	12	3	0
-示威	2	21	4
-怀璧其罪	0	0	1
-金丝燕	5	0	31
-虹膜	64	16	4
-人类学	50	238	63
-年夜饭	5	2	5
-高蛋白	14	3	0
-黄帝内经	233	79	29
-失真	9	20	30
-失眠	75	47	55
-自治法	0	16	0
-地磁力	0	1	0
-蠢事	0	0	2
-矿脉	0	2	3
-客运员	0	0	2
-婚后	21	18	2
-夺目	2	5	8
-柿霜	3	6	0
-抗毒血清	0	0	1
-祭品	8	1	13
-哭鼻子	5	4	1
-利雅得	5	3	1
-磨擦	10	6	0
-夜空	16	22	14
-祖坟	3	2	3
-零售商	6	11	8
-香化	0	4	0
-横县	51	5	0
-须疮	0	0	1
-百科全书式	0	2	0
-榆林	284	53	6
-泸西县	6	2	0
-方向性	4	8	2
-顽症	0	22	2
-星期五	11	21	23
-婚变	1	1	2
-天磁	1	5	0
-平遥县	16	1	0
-火山口	18	12	33
-顽疾	0	4	3
-蜜源	3	3	0
-首发	9	11	3
-耐热性	0	5	1
-大有可为	1	0	0
-辉长岩	2	0	3
-楼梯	33	239	65
-星期二	3	1	11
-娘家	16	7	10
-十番乐	0	0	1
-危险期	0	0	2
-赣西南	3	1	0
-硇砂	4	2	3
-遮阳伞	0	0	2
-页眉	2	0	0
-真鲷	6	1	3
-玉峰山	2	1	0
-出洋相	0	1	1
-太祖	21	54	31
-风水	115	313	113
-喜盈门	3	8	3
-农业税	2	12	0
-大禾	20	17	0
-闪电战	14	2	20
-顶盖	3	0	3
-夏粮	0	1	0
-榜文	0	0	1
-频率	96	121	163
-洛宁县	51	0	0
-共和县	3	0	1
-石英	102	96	28
-稀释剂	1	3	16
-祸及	1	0	0
-婴儿	405	288	53
-风气	2	11	9
-查验	3	8	7
-天神	57	103	28
-植皮	2	0	0
-天祝	26	5	0
-任免权	0	0	2
-横吹	7	2	2
-电冰箱	32	37	8
-榆树	73	50	5
-面额	1	3	2
-博爱县	17	2	0
-横向	116	40	0
-大祸	1	0	3
-妖气	2	1	1
-顶真	2	2	0
-面颊	3	0	3
-棉绒	1	0	1
-藏青	3	3	1
-牙釉质	1	0	1
-棉纺	13	12	0
-预留	9	8	2
-碧波	56	30	28
-棉线	4	0	1
-青马	9	2	4
-娱乐界	2	1	0
-望城县	52	1	0
-单克隆	7	13	0
-樊城	12	7	1
-娄底	209	30	0
-老一辈	1	9	0
-棉纱	4	2	5
-梨花	99	69	53
-椒盐	328	56	2
-面食	7	21	20
-中专班	0	1	0
-姿态	17	33	25
-剩余劳动	1	0	0
-责任事故	1	7	2
-社学	5	4	7
-外籍	20	48	0
-领略	3	9	0
-三峡游	0	0	1
-项目	623	4053	542
-禁区	10	14	48
-福冈	37	13	2
-马钱子	7	4	2
-石药	17	2	1
-根部	3	1	3
-风沙	27	20	2
-顽癣	8	3	1
-非林地	1	0	0
-眼馋	1	0	0
-见机行事	0	0	1
-香味	38	33	25
-复合型	27	14	0
-壁虎	34	17	54
-不结盟	6	0	0
-祷告	3	2	3
-碧海	129	88	13
-磨料	15	61	9
-神坛	3	14	7
-昙花一现	2	1	1
-农业社	1	0	0
-摄制组	0	0	3
-看齐	0	1	6
-须眉	6	0	4
-见世面	0	0	1
-风泵	0	0	2
-美容院	19	12	28
-顽皮	77	29	5
-风波	11	52	100
-禄劝	14	2	0
-神圣	202	89	5
-楷模	3	34	21
-壮胆	2	0	1
-顺民	3	9	13
-礼拜六	5	3	1
-无怨无悔	1	1	0
-远在天边	1	0	1
-保健食品	38	90	5
-蜡染	10	16	10
-商业性	9	8	0
-小气鬼	2	3	2
-查询	10	193	97
-白细胞	106	42	7
-飞快	1	0	0
-游戏机	5	21	119
-夜光杯	1	2	5
-塔顶	2	4	2
-瞥见	1	1	0
-窝囊废	1	0	0
-植株	2	3	3
-电烤炉	0	0	1
-增辉	2	1	0
-防波堤	2	3	12
-扶摇直上	0	0	2
-植树	15	27	3
-矮胖	2	1	0
-梆硬	0	0	1
-填充物	0	1	1
-天线	113	77	135
-动人心弦	0	1	0
-甲状腺素	8	12	5
-霖雨	3	1	2
-黑匣子	3	5	20
-世纪末	28	29	0
-夏至	15	5	4
-蜡果	0	1	0
-破碎	108	134	31
-出资人	2	1	1
-查谟	3	0	0
-自然免疫	2	0	0
-榕城	17	24	3
-李鹏	36	10	0
-富春江	14	10	1
-桃花源	29	29	34
-科特迪瓦	26	4	1
-眼睁睁	0	0	1
-契税	8	18	8
-桔红	9	12	4
-植根	0	1	0
-大五金	0	3	0
-霜降	7	9	3
-婚姻	411	462	200
-砺石	0	0	4
-蜜桔	5	5	20
-受用终身	1	0	0
-砂纸	4	4	22
-血常规	4	0	0
-刀削面	3	3	10
-印书馆	0	9	6
-咫尺天涯	2	1	1
-中介人	0	4	0
-增进	11	11	2
-树蛙	3	3	83
-河卵石	4	0	0
-蜜桃	66	39	36
-福井	22	3	0
-磁极	12	1	5
-厚脸皮	2	0	2
-磁暴	9	2	3
-睦邻	3	5	1
-女生	127	271	191
-生物钟	6	4	7
-日日夜夜	2	0	5
-瞎话	1	0	0
-根脚	0	2	0
-震颤	8	9	26
-多者	0	2	1
-票务	7	71	24
-薄饼	10	14	111
-墓道	0	3	6
-鞋袜	3	3	1
-蜡板	1	1	1
-好球	6	2	2
-瞎说	2	0	0
-蝇拍	0	0	1
-婆家	3	3	2
-禁例	0	0	3
-早产儿	14	3	2
-飞往	4	9	0
-飞弹	10	11	28
-音箱	11	7	98
-神台	1	2	4
-蚁穴	4	2	10
-睡醒	0	2	0
-闷葫芦	0	0	1
-奶瓶	14	3	25
-大约	10	2	1
-蜜枣	102	131	27
-礼堂	4	9	27
-大红	108	52	16
-海棠花	8	19	3
-蜜柑	5	7	28
-查访	0	1	0
-外肾	2	2	2
-查证	0	2	3
-训练舰	0	0	13
-训练舱	0	0	2
-大纲	12	436	450
-虎背	1	1	1
-蜜柚	12	11	27
-诉讼法	21	34	4
-鞋行	0	2	2
-雕鹗	1	1	0
-飘忽	3	0	1
-三通阀	0	1	5
-票台	0	0	1
-妖物	0	2	0
-失约	0	0	2
-粲然可观	1	0	0
-票号	2	5	10
-条鳎	0	0	2
-楼宇	54	75	6
-蚕种	4	13	1
-参变量	1	0	0
-苏打粉	0	0	1
-根芽	0	0	2
-赤白痢	0	0	1
-大考	0	13	2
-建湖县	36	3	0
-婚嫁	15	62	8
-颤栗	22	4	7
-梳理	5	27	9
-根苗	0	0	7
-高高在上	1	0	0
-外航	0	6	0
-顺治	20	58	5
-保险带	0	0	1
-太翁	1	0	0
-祥和	39	63	12
-共和党	1	1	15
-音素	0	3	3
-放牛娃	0	5	0
-数学课	5	18	5
-理事会	0	27	139
-酒店业	1	6	0
-事半功倍	9	4	1
-松香	45	27	21
-查账	12	18	5
-序时账	2	0	0
-变废为宝	21	8	7
-千山万水	1	0	0
-奶皮	2	5	3
-石膏	144	235	38
-虚胖	2	0	1
-根茎	17	19	3
-虾米	194	126	34
-小市民	3	1	1
-中央军委	12	2	0
-释迦牟尼	32	32	5
-着陆	17	26	31
-淘汰赛	1	2	5
-三维空间	14	1	1
-黄包车	1	0	5
-靖远	42	8	7
-福人	8	11	1
-大网	5	10	5
-加里曼丹	11	8	4
-树蜂	1	0	7
-桃胶	6	2	2
-神品	0	1	5
-变化图	0	1	2
-康拜因	0	0	1
-增选	0	2	1
-备荒	0	2	1
-林间	9	5	0
-干洗店	1	2	8
-颂歌	3	9	53
-桃脯	5	1	6
-天罡	34	22	10
-塞音	0	1	7
-套种	0	8	2
-婢女	2	2	0
-炎陵县	10	0	0
-蜂毒	11	1	2
-植棉	0	10	0
-印度尼西亚	85	41	5
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-磨损	9	32	59
-砾石	10	4	6
-风扇	13	25	49
-价电子	4	0	0
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-共和军	0	0	2
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-菱镁矿	1	1	1
-婆娘	0	3	3
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-露酒	1	3	7
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-雄鹰	16	44	47
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-钴胺素	1	3	2
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-桑迪亚	4	0	2
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-蛮横	4	3	0
-牧羊犬	10	15	102
-餐巾	6	8	2
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-雷鸣	42	18	29
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-眼里	4	48	3
-楼市	28	28	12
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-头胎	0	1	2
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-棉珠	1	0	0
-露面	1	0	0
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-礼拜一	0	0	1
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-飘散	1	3	5
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-摩尔多瓦	33	3	3
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-策略师	0	1	0
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-青铜	261	360	64
-淡水湖	1	1	5
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-棉田	12	3	0
-河南省	1778	76	1
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-研磨	43	176	13
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-契约	115	233	146
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-失节	0	1	1
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-蛙泳	0	1	3
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-失色	3	3	13
-果香	61	41	5
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-协议价	0	0	1
-清明上河图	10	4	14
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-蜂王精	0	1	1
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-复合元音	0	0	2
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-四面八方	2	1	1
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-通信卫星	2	10	22
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-益鸟	1	0	1
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-天职	7	1	9
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-梆子腔	1	0	0
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-碎末	1	0	0
-奖章	1	6	100
-砚田	1	0	9
-狗东西	1	0	0
-墨迹	7	158	62
-阳泉市	110	7	0
-胡椒粉	1	0	2
-大肠	86	71	129
-妖猴	0	0	1
-一目十行	1	0	0
-看门	9	11	0
-砂矿	4	11	15
-女眷	2	0	0
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-大肆	7	0	1
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-腥黑穗病	0	1	5
-薪尽火传	1	0	0
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-中间派	1	0	0
-女真	30	15	5
-靠边	2	25	2
-上港村	0	0	1
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-嫁人	14	10	11
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-聚丙烯腈	2	1	0
-蒙特勒	6	3	0
-碰撞	54	77	80
-霭霭	0	1	1
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-委派	1	4	1
-失业者	1	1	2
-领海	19	17	6
-磨工	23	9	1
-画像石	5	54	49
-局外人	9	0	2
-保护价	0	0	2
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-俄罗斯族	10	1	3
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-校订	1	14	4
-中东欧	4	3	0
-大致	1	1	0
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-大臣	10	24	98
-几内亚共和国	1	0	0
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-面部	97	99	0
-砌砖	1	6	0
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-什锦糖	1	0	0
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-松鼠	102	93	115
-棋盘	84	40	18
-石竹	40	40	55
-申报单	0	0	1
-记者团	0	0	77
-威权	5	10	1
-短篇	3	86	6
-石笋	20	6	16
-随心所欲	9	1	2
-硬水	5	0	3
-失聪	2	0	3
-祁剧	0	1	0
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-火山学	2	2	0
-硬汉	19	3	5
-砂礓	1	0	1
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-训练有素	0	2	0
-蜜月	35	18	17
-硬气	1	3	0
-鼻粘膜	4	0	0
-碑林	8	32	79
-失职	9	5	3
-威望	5	2	1
-大腿	16	16	11
-中国队	1	0	1
-螺号	0	2	3
-神仙	195	189	127
-骨瘦如柴	0	1	0
-好看	22	36	7
-保护伞	2	2	0
-忧心忡忡	1	0	0
-套管	27	27	102
-石窟	15	157	276
-塘马	1	3	2
-频段	0	4	12
-奥秘	25	185	400
-预测	59	1332	467
-沧海横流	0	0	1
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-飞扬	64	134	82
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-打通关	0	0	2
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-酥油草	0	1	0
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-打工妹	1	3	4
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-吸浆虫	0	2	4
-火山岩	13	17	16
-珠光灯	1	0	0
-成千上万	1	0	0
-表头	1	0	2
-威海	591	172	6
-等高线	6	6	1
-私愤	2	0	0
-植胶	2	0	0
-继承权	2	1	7
-秦岭	138	55	12
-中国话	1	0	0
-妨碍	4	3	4
-耳目一新	0	0	1
-梅岭山	0	1	0
-蛲虫	4	2	1
-衣食父母	0	3	0
-上轨道	0	1	0
-四大家族	7	0	1
-遗传病	8	4	16
-牛鬼蛇神	1	0	0
-套色	10	10	1
-春风得意	5	2	0
-酥油花	2	0	1
-飞碟	51	42	30
-格林威治	15	7	2
-备课	13	95	7
-穆克	16	18	5
-神殿	10	21	121
-蟠桃	25	16	18
-私心	2	0	2
-领航	41	106	18
-饲料	143	658	117
-改天换地	0	0	1
-大虾	49	71	303
-几维鸟	1	3	5
-奶糖	3	7	22
-水电费	0	0	1
-峨眉山	116	21	3
-大虫	2	1	4
-彻夜不眠	1	0	0
-奈良	47	16	4
-蛤蚧	42	27	5
-奶糕	0	1	13
-外表	4	3	0
-南北湖	2	4	1
-金童奖	0	0	1
-揠苗助长	0	1	0
-胆红素	2	10	12
-外衣	1	5	27
-风神	36	53	14
-榨油	6	4	2
-聪明才智	0	3	1
-椅背	2	1	0
-神气	16	5	3
-福星	62	70	64
-禅杖	1	0	1
-毛毛雨	0	0	2
-科巴	6	69	16
-奉节	18	10	0
-问卷调查	4	9	4
-手续费	2	1	25
-槐树	45	26	10
-秧子	1	1	6
-禅机	4	6	10
-飞眼	1	1	0
-巴巴多斯	15	3	1
-血崩	6	2	12
-理工科	8	34	0
-神汉	1	2	1
-行家	9	18	13
-黄梅戏	15	21	0
-系列赛	0	4	10
-统战部	0	0	64
-中庸之道	0	1	3
-改良派	0	2	1
-崇拜者	0	1	4
-奔腾	124	137	12
-冠心病	134	42	30
-悬而未决	2	2	0
-棉衣	0	4	2
-靖远县	29	1	0
-饵料	6	8	4
-壳质	2	1	1
-指示器	0	2	48
-纸板箱	1	0	0
-秦宫	6	0	1
-桌面	149	145	84
-扁平足	1	0	0
-姑爷	2	3	5
-行宫	15	28	70
-代数学	6	11	6
-婴幼	8	14	0
-含饴弄孙	0	1	0
-天蛾	7	2	71
-社火	4	16	46
-棉袍	1	0	3
-奖学金	3	50	228
-蛤蜊	174	166	114
-教练机	0	5	91
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-衬垫	4	1	5
-紫荆花	21	23	3
-红啤酒	0	0	1
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-娇气	0	1	1
-礼炮	5	8	15
-被俘	2	7	0
-科幻	46	228	11
-蒸汽锤	1	0	0
-棉袄	0	4	3
-票款	1	0	0
-会计学	151	311	117
-胆结石	0	7	4
-氧化铝	39	41	25
-氧化铜	1	2	4
-飞白	4	2	6
-保护区	3	40	467
-被动	85	39	0
-衡宝	3	2	1
-嘉善县	33	6	0
-稀土	114	118	11
-氯丁橡胶	4	0	0
-立方米	4	0	6
-声调	2	11	4
-祖母	15	10	12
-失落	264	202	8
-妇科	202	660	27
-水解蛋白	2	2	2
-行帮	0	1	0
-颅腔	2	0	0
-女朋友	8	9	26
-夏衣	0	0	1
-利纳雷斯	2	0	4
-好笑	1	3	3
-婚恋	47	85	13
-氧化铁	12	5	18
-变则通	1	0	1
-采油厂	1	1	20
-固沙林	0	0	1
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-星期天	14	12	48
-砂锅	287	87	60
-备要	0	4	31
-石雕	63	121	80
-拉肚子	0	1	0
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-断线风筝	1	0	0
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-行市	1	0	2
-羽毛球拍	0	0	23
-夜蛾	5	13	240
-金鱼缸	4	1	1
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-来源于	0	2	0
-美尔雅	1	5	0
-颅脑	35	20	0
-矿长	2	3	1
-植苗	1	0	2
-记录簿	0	1	0
-独角兽	29	13	39
-离心	155	104	22
-鼓膜炎	0	0	4
-威武	11	13	16
-食盐	17	23	3
-食盒	0	0	4
-槟榔	107	58	41
-媾和	1	0	0
-风磨	1	3	2
-大藏	15	5	0
-桥面	19	10	4
-蛇足	3	0	0
-会计师	32	708	33
-恒星系	0	0	1
-夏装	1	4	12
-装修	147	1047	102
-声色犬马	1	0	0
-老佛爷	4	1	0
-石青	21	3	4
-瓦窑堡	7	1	0
-养鱼池	0	0	1
-食相	1	5	0
-老狐狸	11	4	1
-墨镜	5	3	2
-不可理喻	1	1	0
-饮料	54	366	218
-血性	10	184	1
-预见性	1	1	0
-马鞍山市	284	8	0
-高血压	288	141	92
-奶粉	17	26	184
-绥阳县	119	38	0
-祸根	0	0	2
-绝对零度	5	1	1
-蜡花	2	1	1
-礁盘	1	0	0
-橘子	86	45	22
-钢琴曲	0	118	38
-磷矿	9	6	8
-外行	51	11	1
-首恶	0	0	2
-媒婆	3	1	5
-秋山	72	55	8
-知青	16	56	9
-血库	1	0	5
-公路网	4	41	2
-表妹	2	3	8
-刑释解教	0	1	0
-秕子	1	0	0
-华南虎	8	10	1
-里程表	0	0	2
-内窥镜	17	22	20
-曾家岩	2	0	0
-表姐	4	1	1
-衬套	0	0	6
-大陆坡	1	0	0
-套红	1	24	0
-大葱	108	36	37
-创刊号	1	2	5
-塘桥镇	0	3	1
-化学式	0	4	2
-嫡传	4	1	0
-矽钢	1	17	0
-报告会	0	7	5
-概率	109	125	60
-袖口	2	2	3
-大蒜	331	139	82
-磨砺	7	5	3
-捕鼠器	0	1	2
-三部曲	3	174	269
-石门	191	123	26
-虎骨	19	7	0
-录像带	1	0	13
-观测站	0	1	93
-乐呵呵	1	0	2
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-音量	7	2	0
-天葬	2	7	4
-旗开得胜	1	0	2
-被加数	0	0	1
-奸笑	1	0	1
-五角星	5	2	2
-雕塑家	7	9	3
-功利主义	5	4	8
-稿件	1	6	3
-霸州市	58	5	1
-库尔勒市	15	0	1
-硅谷	50	33	15
-稳健	18	30	4
-须臾	3	4	1
-知音	55	47	21
-袭击	11	114	67
-酒渣鼻	4	2	0
-精打细算	1	1	2
-离开	65	90	49
-声讯	6	10	0
-离异	6	7	3
-价值观	18	76	65
-石阶	6	1	3
-艾滋病毒	2	0	0
-蜥脚类	2	0	1
-增长	51	605	173
-秘室	0	0	1
-天蓝	37	65	7
-女篮	4	5	20
-秽土	1	0	0
-君子兰	22	6	17
-奖罚	1	3	0
-储气罐	0	0	2
-胖大海	10	4	3
-妈祖	44	61	8
-食疗	84	582	159
-排头兵	0	3	0
-秘密	259	849	1274
-桥隧	7	11	1
-难以启齿	1	0	0
-检讨	0	3	13
-公文袋	0	0	1
-巴黎市	1	1	0
-横冲直撞	17	0	5
-冀南区	2	0	0
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-黏着语	1	0	0
-马列主义	2	20	0
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-高尔夫球场	12	4	52
-蜜糖	43	43	16
-书信集	0	2	52
-自作聪明	1	1	0
-碾米	0	1	2
-威煌	0	0	1
-奸臣	3	2	3
-保护套	0	6	20
-破败	1	1	1
-蛇蜕	6	1	2
-破财	2	1	0
-石锁	3	2	3
-香料	52	125	15
-矩阵	109	90	289
-石铲	0	0	3
-年楚河	1	0	0
-椰肉	7	1	3
-诱虫灯	0	0	1
-橡实	5	0	0
-描述性	6	3	0
-禹州	61	13	1
-武汉市	1044	24	1
-女色	0	5	2
-大计	1	6	0
-首日	2	1	1
-碧绿	122	19	5
-中国通	12	0	1
-表哥	4	2	4
-调整期	0	1	0
-衰变	13	7	16
-石铁	9	12	0
-种子	202	343	151
-蛋蛋	33	9	12
-冷藏库	2	1	0
-蛇蝎	16	4	2
-礼法	6	3	4
-化学家	2	8	4
-虎门	111	94	11
-消化系统	50	20	2
-税卡	0	0	1
-人工授精	1	10	8
-减色法	0	0	2
-饥民	0	0	1
-成文法	1	0	1
-首映	3	1	1
-头角	1	7	5
-税单	0	1	1
-总鳍鱼	3	0	0
-大谱	2	0	0
-科室	3	6	5
-嫉妒	15	17	9
-百老汇	22	19	11
-棋赛	0	0	2
-上元节	0	0	2
-错别字	5	20	3
-祈求	3	1	1
-少年犯	4	1	2
-复转	4	5	0
-大豆	229	210	0
-复轨	1	0	0
-食粮	0	0	7
-两面派	1	0	3
-横拍	1	1	0
-造物主	2	3	5
-中外代	1	0	0
-风级	3	20	2
-大兴县	1	0	0
-风纪	7	4	2
-禁放	1	0	0
-横披	1	0	10
-科学	1543	8146	1285
-妇联	1	19	9
-官渡区	12	4	0
-试管婴儿	3	7	4
-夹角	3	0	8
-稍后	1	0	0
-颁行	1	1	0
-大调	2	116	0
-距离感	2	1	0
-大课	1	0	0
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-街坊	13	27	48
-食糖	6	5	0
-外路	1	0	0
-餐盘	1	2	1
-懒洋洋	2	1	1
-嫁娶	3	1	1
-横扫	14	10	1
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-餐盒	0	2	24
-并肩作战	0	0	3
-虎钳	1	1	25
-梦遗	2	3	0
-篮球架	1	0	14
-红土地	13	8	2
-回光返照	1	1	3
-夹袄	0	0	1
-补发	1	7	3
-蓄水池	1	1	3
-秆子	0	2	0
-新生代	31	47	8
-虎骨酒	3	0	1
-离岸	43	17	0
-韩食	1	2	4
-拉普拉斯	27	7	4
-蜡笔	117	21	8
-夹衣	0	0	8
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-槲栎	0	0	6
-多谢	10	3	0
-牌坊店	1	0	0
-好耍	1	0	0
-外貌	5	6	4
-概略	4	2	8
-音韵	8	14	6
-科委	0	4	3
-蛆虫	4	1	1
-奚落	1	0	0
-离岗	2	4	2
-萧山市	4	4	0
-甲状腺肿	2	5	16
-嫩叶	1	1	4
-作品集	1	278	522
-爵士舞	1	3	8
-血液学	7	25	3
-橙子	58	35	15
-破译	76	41	15
-濒危种	0	0	2
-蚕豆	168	99	148
-礼拜日	2	0	1
-私家	80	121	0
-好胜	4	0	0
-名利双收	0	0	2
-食管	86	56	10
-外资	62	81	9
-失言	0	1	2
-哲蚌寺	0	0	1
-祷文	0	0	1
-磨盘	46	13	2
-齐心协力	3	0	0
-嫁妆	5	3	5
-礼治	1	0	0
-目中无人	1	0	0
-奥莫	20	57	0
-中垂线	0	1	0
-秋季	47	147	8
-外贸	327	395	12
-外购	4	0	0
-碳素	39	62	1
-棋谱	1	4	8
-武进县	5	0	0
-楼盖	1	7	12
-外财	1	0	0
-稳产	0	5	0
-喜剧片	0	1	2
-模拟	714	3407	387
-楼盘	15	51	50
-蜂群	6	1	1
-茶话会	0	0	4
-万宝路	4	2	1
-君子国	0	0	1
-秀山	61	57	46
-导热性	1	0	1
-投机性	5	0	0
-音频	91	112	16
-无所不能	1	3	2
-送子观音	1	5	1
-补品	2	4	3
-大儿子	0	0	1
-同舟共济	2	0	0
-夹被	1	0	0
-多元论	3	3	3
-伯尔尼	35	10	2
-禅房	6	4	3
-表面积	0	14	0
-离家	12	7	0
-名正言顺	1	0	0
-真主党	0	0	1
-题花	1	0	0
-神曲	67	30	33
-蚁酸	3	0	0
-依赖性	3	34	7
-失衡	14	27	20
-化学工业	34	154	8
-音障	0	0	3
-声道	1	13	17
-苛性钠	1	0	0
-套菜	2	1	1
-外访	0	2	0
-外设	3	9	4
-科大	27	205	15
-大观	45	202	246
-机动车	161	232	3
-少生快富	0	3	0
-不动产	56	57	18
-陈嘉庚奖	2	0	0
-颜色	100	201	202
-盘尼西林	3	0	0
-螺母	10	40	95
-棱角	10	1	2
-梅雨	20	3	6
-磅礴	2	4	3
-全运会	6	11	16
-社会形态	3	5	3
-保护地	37	27	4
-龙门吊	1	1	1
-协理员	0	3	6
-妙算	3	2	5
-大襟	4	3	0
-声速	4	23	2
-失血	6	0	9
-行政区划	7	34	35
-漏网之鱼	0	0	1
-潜意识	28	18	8
-液相色谱仪	0	3	12
-媳妇	23	48	48
-记者会	0	5	1
-尼姑庵	1	0	3
-老主顾	0	1	0
-大要	0	1	4
-磐石	56	33	17
-蛛蛛	0	1	1
-掺杂使假	0	1	0
-秦国	47	4	3
-保护国	0	2	4
-税利	1	0	0
-伽马射线	2	4	0
-近代史	7	72	19
-顾虑	1	0	0
-南北朝	48	193	0
-实践论	1	3	11
-木管乐器	1	0	0
-税则	0	13	14
-妖精	117	72	89
-针叶树	1	1	2
-复赛	0	1	3
-表土	2	2	0
-蜡纸	1	0	4
-蜜罐	5	3	3
-能屈能伸	0	0	1
-功夫茶	2	3	8
-神果	2	3	1
-街头	255	175	45
-比下有余	0	0	2
-增高	9	44	12
-声部	2	34	4
-平江县	27	3	0
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-湖心亭	4	0	2
-鸟类学	0	5	0
-墨香	17	4	0
-税制	12	71	52
-雁过留声	0	0	1
-核子反应	2	0	0
-秃子	2	0	1
-备足	1	0	0
-大公国	0	0	11
-横断面	4	2	5
-那达慕	2	4	4
-大解	1	7	0
-外语	124	919	31
-外调	1	4	1
-保险箱	2	6	24
-由此及彼	1	0	0
-磅秤	0	0	3
-清丰县	14	0	0
-祭文	0	5	7
-头衔	2	2	4
-正人君子	0	1	0
-种姓	4	4	2
-神权	8	3	6
-木已成舟	0	0	1
-电影院	17	26	134
-履历表	0	0	2
-孙悟空	32	19	14
-复评	0	4	0
-蛐蛐	6	0	3
-保护器	0	29	150
-风笛	1	4	2
-复诊	0	1	0
-街垒	0	0	2
-复议	5	152	12
-复训	0	1	1
-蛔虫	11	13	7
-奸细	0	0	1
-桡骨	24	9	1
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-民生主义	0	1	0
-分裂主义	1	8	0
-飘移	11	6	7
-紫茉莉	6	1	4
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-衡器	7	100	29
-体贴入微	1	0	0
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-太行	102	61	17
-玉泉营	2	2	0
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-风云人物	3	45	47
-蜂胶	30	79	38
-新教徒	0	1	0
-奥胜	1	1	0
-移动	853	1105	166
-推销员	20	61	25
-大街	18	356	256
-福德	29	228	189
-千古绝唱	1	1	0
-称号	1	38	9
-大衣	4	6	24
-风筝	57	69	91
-饶有	5	0	0
-奇葩	10	13	22
-音问	2	1	0
-爱琴海	17	36	24
-袋兽	0	2	2
-破解	146	229	42
-行头	1	2	4
-中国货	4	0	0
-蛇行	5	2	3
-画饼充饥	0	0	1
-经济基础	5	21	3
-东京都	21	2	0
-饭桌	3	4	1
-观测网	0	4	14
-央行	14	7	2
-妙策	0	0	4
-燃烧器	5	10	44
-奶羊	1	0	3
-飞禽	11	9	2
-词汇学	1	29	12
-巴哈马	27	11	2
-秀媚	0	0	4
-点电荷	0	1	0
-神智	6	2	3
-安身立命	0	2	1
-饭桶	0	2	3
-姥爷	1	0	3
-电灯泡	1	0	4
-风箱	10	6	4
-音阶	3	44	17
-构筑物	1	16	9
-行好	1	2	0
-新华书店	3	38	25
-虾酱	81	35	18
-离子	287	446	79
-近代化	9	27	20
-评估价	0	1	2
-明太祖	19	3	1
-禀承	0	1	0
-三维点	0	1	0
-山海关区	0	2	0
-报告单	0	1	3
-离合器	10	35	83
-称呼	1	4	0
-复课	3	3	0
-棋路	0	5	6
-复读	5	24	1
-祖本	2	1	3
-祛暑	8	7	0
-横排	8	2	1
-车马坑	1	6	5
-声辩	0	0	1
-大褂	0	1	0
-奶罩	2	0	0
-北卡罗来纳	12	3	0
-秋夜	39	42	15
-多面手	0	0	1
-食积	7	2	0
-秋天	77	34	58
-苦丁茶	4	0	17
-科坛	0	0	1
-神效	41	26	0
-天边	24	7	7
-换流站	8	8	3
-砂轮	11	52	37
-抗虫棉	2	4	3
-幽默画	1	3	0
-嬗变	10	56	54
-奇谈	3	23	41
-训练班	0	2	18
-诸城市	107	10	0
-私奔	17	8	16
-声障	0	0	1
-志大才疏	1	0	1
-大远	0	0	5
-巧言令色	2	0	0
-大连	2773	387	10
-桃酥	7	15	51
-街区	11	60	146
-失身	3	0	0
-妖艳	2	0	3
-蚯蚓	49	10	17
-模型	90	1078	1882
-天仙配	1	1	2
-大过	11	5	0
-孝感市	56	0	0
-碾碎	1	0	0
-命令字	0	0	1
-嫖客	0	0	1
-军令状	0	0	1
-比翼鸟	0	0	2
-蛇莓	7	0	2
-多重	97	39	0
-龙门刨	1	1	0
-校门	3	1	3
-飒爽	1	0	3
-浴血奋战	0	3	3
-嫦娥	57	28	12
-离婚	132	106	54
-磁碟	3	3	0
-早籼稻	2	2	0
-补养	1	27	2
-菩提树	16	7	12
-蛇药	1	6	11
-大通	90	116	7
-文字改革	1	3	0
-补充	52	166	8
-奉调	1	0	0
-防水层	1	1	8
-衣冠	29	24	11
-预算	109	627	173
-音质	5	5	1
-大选	2	9	15
-喜闻乐见	0	2	1
-太阳城	28	36	0
-新品种	2	81	6
-弯月形	1	0	0
-秃头	14	7	1
-阿拉伯叙利亚共和国	1	0	0
-藤黄	23	10	7
-危险品	13	14	2
-不可抗力	3	0	0
-飞灾	1	0	1
-墨黑	1	0	3
-叶甜菜	0	0	3
-肖像画	0	4	15
-独幕剧	1	1	2
-失踪	68	115	22
-种地	0	3	0
-大车	17	6	0
-票据	131	119	60
-祭拜	4	1	3
-破裂	18	34	58
-榕树	46	21	11
-螺旋	324	343	60
-飘然	7	4	3
-人民日报	34	6	1
-风物	9	64	15
-衣兜	1	1	1
-装糊涂	0	1	1
-狗不理	4	3	3
-孢子植物	1	2	0
-街办	0	4	7
-一通百通	1	1	0
-意大利共和国	2	2	0
-业精于勤	1	2	0
-衍变	2	1	4
-录像机	1	6	46
-天轴	0	0	1
-校长	64	179	49
-羊肠线	0	0	1
-积压	2	1	1
-标题	16	31	19
-治疗学	0	50	352
-天车	14	6	2
-矿车	7	7	18
-不孕症	11	12	15
-黄梁梦	1	0	0
-福建	2301	408	27
-虽说	1	0	0
-领章	0	1	1
-柿饼	23	14	21
-磁石	42	10	11
-模块	85	273	325
-失足	6	10	0
-招待员	0	1	0
-飞瀑	6	15	49
-碧空	8	2	4
-棕绳	0	0	2
-王家田	3	0	0
-丰城市	74	4	0
-蜂箱	0	0	1
-百听不厌	2	1	0
-地黄牛	0	0	1
-小康村	0	0	3
-五湖四海	0	0	1
-禀性	1	1	1
-祭扫	0	3	0
-保险法	33	93	16
-安海镇	1	1	0
-矍铄	1	0	1
-自由民主党	0	0	9
-外部	127	101	1
-边缘化	2	5	1
-硬腭	0	3	0
-三维纸	0	2	0
-饭店	205	428	2144
-亲姐妹	0	0	1
-槽子	11	24	0
-壮阔	1	3	4
-领空	1	1	2
-补偿	82	611	118
-饭庄	0	5	59
-彬彬有礼	1	5	1
-马普托	5	1	0
-离奇	22	34	0
-棕编	1	0	1
-华而不实	0	1	0
-棋联	0	1	0
-大湖镇	0	0	1
-桌边	4	0	0
-声门	9	2	4
-孤注一掷	4	0	4
-禅心	8	21	17
-私塾	2	22	13
-宫廷政变	0	5	3
-韵语	3	7	6
-祈望	3	0	0
-静默	18	7	3
-得过且过	1	0	0
-公文纸	1	0	0
-馆子	0	3	3
-秋地	1	0	4
-战斗力	3	2	11
-主要矛盾	0	0	1
-弱肉强食	1	1	1
-磁盘	61	32	20
-音调	3	3	5
-知识界	0	10	3
-强制性	23	45	0
-嫖娼	0	4	1
-槲寄生	5	2	14
-争议性	0	2	0
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-离境	4	2	1
-禁律	0	1	2
-矢量	80	51	42
-福州	1803	230	7
-行医	3	22	5
-儿童文学	59	435	21
-硬脂	14	7	2
-研讨	1	29	8
-必要劳动	1	0	0
-罗马字	1	1	4
-碰碰	20	28	9
-短道	6	16	1
-专心致志	0	0	1
-洋鬼子	0	3	2
-失败	30	119	58
-衙内	1	1	5
-强击机	0	0	11
-套裤	0	2	1
-衰亡	1	6	6
-磨牙	13	13	7
-音译	0	1	3
-蝶泳	2	1	1
-共鸣器	1	1	1
-行包	6	1	0
-椭球	12	14	15
-套裙	0	0	1
-研读	1	14	21
-棕红	7	2	0
-磐田	8	0	0
-补修	2	1	0
-禁忌	42	157	187
-硅藻	13	27	1
-套装	11	130	371
-套裁	1	2	0
-音讯	0	14	2
-蝗灾	1	2	1
-鞑靼	36	6	0
-顽童	13	29	21
-信息量	1	2	3
-树阴	1	1	0
-以貌取人	0	1	0
-核酸	41	43	29
-奥林匹克	244	611	37
-观赏性	2	0	0
-良性肿瘤	0	2	31
-预科	7	53	28
-天趣	1	1	0
-大跌	2	1	0
-风烟	2	6	3
-电风扇	3	9	11
-馒头	53	64	335
-碎米	23	78	0
-蜀绣	2	1	3
-罗马式	5	3	1
-积冰	1	0	3
-夸诞	2	0	0
-行囊	0	8	7
-婚检	2	0	1
-标高	7	47	19
-如若	6	4	0
-餐椅	1	0	7
-注意力	47	27	10
-民事权利	5	5	0
-衡山县	17	1	1
-外逃	1	9	1
-大路	62	49	0
-三联单	1	0	1
-孔孟之道	0	1	1
-奔袭	2	2	3
-核销	4	18	25
-远征军	7	18	20
-插队落户	0	1	0
-多边	44	31	0
-短途	8	5	0
-螺栓	23	45	73
-衢县	3	0	1
-夜车	0	0	3
-票房	7	11	8
-蛀虫	1	5	13
-外遇	4	4	6
-壮锦	4	9	1
-外道	18	4	32
-青麻	3	3	0
-西营镇	0	1	0
-多达	5	40	0
-接收站	0	2	5
-积分	60	161	53
-棉花	265	171	16
-同心协力	0	0	1
-大赦	2	1	1
-新民主主义	11	11	0
-棋艺	3	5	1
-大赛	4	335	993
-知道	66	1259	364
-才子佳人	5	6	5
-金丝绒	1	0	0
-血型	79	89	25
-中科院	77	8	0
-伶牙俐齿	4	0	0
-无产者	1	3	1
-破蛋	1	0	0
-融洽	3	0	0
-风景如画	1	0	0
-衰减	22	36	24
-年轻人	77	127	25
-饼子	1	4	69
-秘史	0	57	196
-题目	2	10	2
-禅师	6	349	183
-威猛	10	6	1
-天资	6	5	0
-迷迷糊糊	1	0	0
-小道理	0	0	3
-多音字	0	3	0
-风灯	0	1	3
-飞溅	6	6	6
-私囊	0	3	2
-嫔妃	0	18	7
-风灾	0	1	4
-直肠癌	3	7	5
-青鸟	40	222	47
-奇观	6	47	167
-瞒骗	0	0	2
-北安市	9	0	0
-飞渡	3	10	15
-处里	0	1	0
-礼服	8	54	157
-血块	3	0	1
-妃色	1	2	0
-饺子	25	44	338
-天赋	27	39	22
-黄曲霉	9	7	1
-风雨如磐	1	0	0
-柿子椒	7	2	9
-舍我其谁	1	1	1
-外运	1	37	2
-合金钢	11	90	49
-秘书长	2	6	6
-棋苑	1	1	1
-毛巾架	0	0	2
-人民警察	22	106	2
-爱因斯坦	107	67	44
-玉门关	5	3	2
-保靖县	11	0	0
-餐桌	48	67	46
-兽医学	1	44	6
-表功	0	1	2
-乐融融	1	1	5
-西伯利亚	128	80	8
-复音词	0	5	2
-顶端	9	2	0
-大足	75	23	0
-外边	1	2	0
-预示	0	0	1
-播放器	1	23	210
-印度共和国	2	9	0
-复述	3	0	1
-积储	0	2	0
-奶茶	31	45	155
-神户	50	32	1
-补办	1	2	0
-好色	15	9	6
-磨灭	0	4	2
-洋白菜	7	5	16
-媚态	0	0	1
-电焊工	27	10	3
-罗马市	0	1	0
-折戟沉沙	1	0	0
-移位	11	26	20
-危险区	0	3	7
-博览会	3	278	2074
-补助	3	124	16
-捷克斯洛伐克	14	14	0
-科员	1	0	6
-象声词	0	1	1
-新生儿	191	59	2
-蚱蜢	5	6	7
-街名	2	4	0
-嫂子	11	5	7
-磨炼	2	1	2
-墨鱼	148	244	138
-试衣间	1	1	11
-飞涨	0	0	1
-失误	2	70	18
-大败	6	12	1
-行善	3	4	7
-鸿鹄之志	0	0	1
-钢琴师	1	1	8
-始祖	33	46	26
-磁疗	22	35	0
-失调	3	76	75
-自然选择	6	1	4
-优待券	0	0	1
-稀世	9	6	0
-榜样	24	45	40
-单行道	4	2	3
-婚期	0	1	1
-融汇	15	15	5
-一中全会	0	0	5
-行唐	13	5	0
-报告团	0	2	0
-大象	114	106	53
-公有制	4	11	3
-禾嘉	1	8	2
-表决	2	8	6
-移交	0	21	5
-包工头	0	0	2
-肉食品	3	19	1
-阳关道	0	1	1
-研习班	0	0	1
-先知先觉	1	1	0
-饭局	16	10	10
-彩色片	0	0	1
-奉行	1	1	12
-大豪	4	6	2
-行商	3	11	4
-金鱼藻	2	1	4
-蚰蜒	2	0	2
-风潮	4	7	18
-街口	7	16	8
-飘渺	28	5	7
-首场	0	1	0
-如皋市	53	4	0
-复辟	4	6	6
-蜂糕	0	0	11
-榆次	73	9	0
-福将	2	3	2
-嫂嫂	3	0	0
-社旗	21	1	0
-奇袭	16	11	8
-模塑	10	49	5
-衣分	1	2	0
-天象	17	24	3
-表面波	4	10	3
-睁眼瞎	1	0	0
-阶段性	9	9	0
-校际	4	6	0
-榔榆	5	0	0
-阻击战	0	14	62
-表册	0	0	1
-北部湾	40	64	2
-硬结	0	5	2
-测压管	1	0	0
-蚂蟥	15	1	2
-奋进	11	17	4
-磨洋工	1	0	0
-奇遇	6	248	138
-打麦场	2	0	0
-行政公署	0	14	11
-奉送	5	7	0
-夺金	5	2	0
-溆浦县	17	0	0
-瞬间	118	111	101
-颠簸	4	3	2
-梦见	25	13	3
-喇叭裤	2	0	0
-虎踞	8	11	5
-社教	1	4	8
-投标人	0	1	1
-短路	35	56	24
-专属经济区	2	1	2
-学习	555	6720	402
-秋后	3	2	0
-夕阳	77	40	37
-私商	0	0	1
-商业区	3	4	12
-气门嘴	0	0	1
-顺脚	0	2	0
-绿茵场	2	0	3
-根雕	20	38	19
-碣石	23	5	1
-奉还	2	1	4
-礼数	0	0	1
-香干	103	99	140
-中长跑	3	1	0
-蚊蝇	5	1	0
-商业化	4	10	8
-祝愿	0	0	4
-火辣辣	3	0	2
-短跑	5	6	6
-外间	0	1	0
-首府	9	16	69
-奇迹	199	224	370
-夸里	1	7	2
-石质	7	5	0
-樵夫	3	5	5
-频繁	6	2	2
-礼教	2	4	3
-尼龙布	1	3	0
-科协	7	34	12
-学业	19	79	1
-称作	0	13	0
-企业法人	8	10	3
-勤务兵	0	1	0
-同病相怜	1	0	0
-地图集	1	39	185
-招待会	0	2	1
-套路	2	61	42
-黑社会	19	14	16
-蚊虫	1	2	1
-楚王	38	28	2
-下水道	15	12	4
-碧眼	8	5	2
-靖边县	22	0	0
-晓之以理	0	0	1
-根除	5	2	0
-领结	2	2	1
-模子	0	1	5
-外营力	1	0	2
-小轿车	1	0	0
-太阳历	4	3	3
-打工族	3	1	0
-神情	5	0	0
-预置	6	4	1
-项背	4	0	0
-外长	6	4	1
-竞争者	6	2	9
-塞拉利昂	18	5	0
-太阴历	0	0	1
-头里	0	1	0
-厅局级	2	0	0
-首席	157	63	6
-禅寺	2	25	449
-虚词	1	37	8
-伊丽莎白	199	55	8
-行使	3	22	0
-装货单	1	0	0
-奔跑	64	32	54
-虚设	2	1	1
-风疹	8	10	4
-壁龛	3	0	3
-预约	53	35	4
-孟买	31	10	3
-毛边纸	0	0	1
-街上	9	38	3
-食古不化	0	0	1
-小张庄	1	0	0
-秋千	23	16	30
-字体	45	57	40
-大年初一	2	0	0
-音速	50	13	10
-校风	2	7	0
-琴棋书画	1	1	1
-融智	6	11	0
-价值形式	0	0	4
-滴滴涕	1	2	2
-火眼金睛	1	2	3
-黑石礁	3	4	1
-外销	18	8	2
-禅宗	78	45	14
-顺耳	1	1	0
-奔赴	2	0	0
-威士忌酒	0	0	1
-魏都区	1	1	0
-薄荷油	0	0	4
-支撑点	0	0	2
-渔人得利	1	1	1
-奖赏	3	3	3
-柴鸡	7	9	13
-失重	13	4	9
-风痹	1	2	0
-所得税	24	232	36
-秦俑	4	1	3
-钢琴家	1	15	6
-套购	1	0	1
-预言家	4	9	8
-马斯特里赫特	10	2	0
-颗粒	134	238	1397
-孝义	65	24	19
-农科所	0	1	10
-伯南布哥	1	0	0
-乒乓球队	0	1	15
-积云	3	1	23
-八卦阵	0	0	8
-面目全非	1	0	0
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diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/numberLibrary.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/numberLibrary.dic
deleted file mode 100644
index b65e9a6a9..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/numberLibrary.dic
+++ /dev/null
@@ -1,51 +0,0 @@
-0	5
-1	5
-2	5
-3	5
-4	5
-5	5
-6	5
-7	5
-8	5
-9	5
-０	5
-１	5
-２	5
-３	5
-４	5
-５	5
-６	5
-７	5
-８	5
-９	5
-%	5
-零	5
-一	5
-二	5
-三	5
-四	5
-五	5
-六	5
-七	5
-八	5
-九	5
-十	5
-百	5
-千	5
-万	5
-亿	5
-兆	5
-零	5
-壹	5
-贰	5
-叁	5
-肆	5
-伍	5
-陆	5
-柒	5
-捌	5
-玖	5
-拾	5
-佰	5
-仟	5
-．	5
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/person/asian_name_freq.data b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/person/asian_name_freq.data
deleted file mode 100644
index 481ca2262..000000000
Binary files a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/person/asian_name_freq.data and /dev/null differ
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/person/person.dic b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/person/person.dic
deleted file mode 100644
index a91a228fe..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/main/resources/person/person.dic
+++ /dev/null
@@ -1,2907 +0,0 @@
-阿哥	11	1
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-自幼	12	1
-自传体	12	1
-宗教	12	1
-总	12	3
-总裁	12	3
-总工程师	12	1
-总结	12	3
-总经理	12	4
-总理	12	110
-总领事	12	2
-总是	12	7
-总书记	12	61
-总司令	12	6
-总统	12	3
-纵横捭阖	12	1
-纵身	12	1
-走	12	5
-走访	12	1
-走近	12	1
-走马上任	12	1
-租用	12	1
-祖居	12	1
-组建	12	1
-组织	12	4
-组装车	12	1
-嘴里	12	1
-最	12	3
-最后	12	11
-最近	12	5
-最新	12	1
-最终	12	2
-昨日	12	1
-昨天	12	5
-昨晚	12	3
-左	12	3
-作	12	16
-作品	12	4
-作曲	12	2
-作为	12	9
-做	12	6
-·	12	100
-坐	12	7
-座谈	12	1
-长发	44	1
-成都	44	1
-成说	44	1
-成为	44	1
-初等	44	2
-慈和	44	1
-到时	44	1
-东家	44	1
-对白	44	1
-方向	44	1
-国都	44	1
-国是	44	1
-和田	44	2
-华为	44	3
-华以	44	1
-健在	44	7
-金正	44	1
-来时	44	1
-来说	44	1
-来由	44	1
-老是	44	1
-良将	44	1
-美的	44	3
-明说	44	4
-平等	44	7
-平和	44	2
-超生	44	2
-雷暴	44	2
-前程	44	1
-清还	44	6
-清谈	44	1
-若是	44	1
-三和	44	1
-生就	44	1
-石向	44	4
-帅才	44	1
-特等	44	1
-特为	44	1
-天王	44	1
-同江	44	1
-图说	44	1
-王开	44	1
-维和	44	1
-文说	44	3
-文中	44	1
-新说	44	5
-行将	44	1
-学说	44	1
-怡和	44	1
-永不	44	1
-有关	44	1
-有请	44	1
-远在	44	3
-在理	44	1
-强将	44	1
-正在	44	2
-之和	44	1
-子书	44	1
-子孙	44	1
- 	11	74
- ,	11	74
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/AssertTestsExtendBaseClass.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/AssertTestsExtendBaseClass.java
deleted file mode 100644
index 17018e410..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/AssertTestsExtendBaseClass.java
+++ /dev/null
@@ -1,52 +0,0 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.deeplearning4j.text.tokenization.tokenizer;
-
-import lombok.extern.slf4j.Slf4j;
-import java.util.*;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.nd4j.common.tests.AbstractAssertTestsClass;
-
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4JTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alex Black
- * @author Alexander Stoyakin
- */
-@Slf4j
-public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass {
-
-    @Override
-    protected Set> getExclusions() {
-        Set> exclusions = new HashSet<>();
-        return exclusions;
-    }
-
-    @Override
-    protected String getPackageName() {
-        return "org.deeplearning4j";
-    }
-
-    @Override
-    protected Class getBaseClass() {
-        return BaseDL4JTest.class;
-    }
-}
-
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/ChineseTokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/ChineseTokenizerTest.java
deleted file mode 100644
index f1f90eb29..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-chinese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/ChineseTokenizerTest.java
+++ /dev/null
@@ -1,80 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.tokenization.tokenizer;
-
-import lombok.extern.slf4j.Slf4j;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.models.embeddings.loader.WordVectorSerializer;
-import org.deeplearning4j.models.word2vec.Word2Vec;
-import org.deeplearning4j.text.sentenceiterator.BasicLineIterator;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.nlp.chinese.tokenization.tokenizerFactory.ChineseTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.junit.Ignore;
-import org.junit.Test;
-
-import java.io.File;
-import java.io.IOException;
-
-import static org.junit.Assert.assertEquals;
-
-/**@author wangfeng
- * @date June 3,2017
- * @Description
- *
- */
-@Slf4j
-public class ChineseTokenizerTest extends BaseDL4JTest {
-
-    private final String toTokenize = "青山绿水和伟大的科学家让世界更美好和平";
-    private final String[] expect = {"青山绿水", "和", "伟大", "的", "科学家", "让", "世界", "更", "美好", "和平"};
-
-    @Test
-    public void testChineseTokenizer() {
-        TokenizerFactory tokenizerFactory = new ChineseTokenizerFactory();
-        Tokenizer tokenizer = tokenizerFactory.create(toTokenize);
-        assertEquals(expect.length, tokenizer.countTokens());
-        for (int i = 0; i < tokenizer.countTokens(); ++i) {
-            assertEquals(tokenizer.nextToken(), expect[i]);
-        }
-    }
-
-    //Train model by some data of the chinese names,Then find out the names from the dataset
-    @Ignore
-    @Test
-    public void testFindNamesFromText() throws IOException {
-        SentenceIterator iter = new BasicLineIterator("src/test/resources/chineseName.txt");
-
-        log.info("load is right!");
-        TokenizerFactory tokenizerFactory = new ChineseTokenizerFactory();
-        //tokenizerFactory.setTokenPreProcessor(new ChineseTokenizer());
-
-        //Generates a word-vector from the dataset stored in resources folder
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(2).iterations(5).layerSize(100).seed(42)
-                        .learningRate(0.1).windowSize(20).iterate(iter).tokenizerFactory(tokenizerFactory).build();
-        vec.fit();
-        WordVectorSerializer.writeWordVectors(vec, new File("src/test/resources/chineseNameWordVector.txt"));
-
-        //trains a model that can find out all names from news(Suffix txt),It uses word vector generated
-        // WordVectors wordVectors;
-
-        //test model,Whether the model find out name from unknow text;
-
-    }
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/pom.xml b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/pom.xml
deleted file mode 100644
index c85e18cdd..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/pom.xml
+++ /dev/null
@@ -1,82 +0,0 @@
-
-
-
-
-    
-        deeplearning4j-nlp-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    deeplearning4j-nlp-japanese
-
-    
-        UTF-8
-        0.9.0
-        2.1.16
-    
-
-    
-        
-            junit
-            junit
-            test
-        
-        
-        
-        
-        
-        
-        
-        
-        
-            org.deeplearning4j
-            deeplearning4j-nlp
-            ${project.version}
-        
-        
-            com.carrotsearch.randomizedtesting
-            randomizedtesting-runner
-            ${randomizedtesting.version}
-            test
-        
-        
-            org.slf4j
-            slf4j-api
-        
-
-        
-            org.deeplearning4j
-            deeplearning4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-        
-            test-nd4j-native
-        
-        
-            test-nd4j-cuda-11.0
-        
-    
-
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/TokenBase.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/TokenBase.java
deleted file mode 100644
index cfc094718..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/TokenBase.java
+++ /dev/null
@@ -1,115 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji;
-
-import com.atilika.kuromoji.dict.Dictionary;
-import com.atilika.kuromoji.viterbi.ViterbiNode.Type;
-
-/**
- * Abstract token class with features shared by all tokens produced by all tokenizers
- */
-public abstract class TokenBase {
-
-    private static final int META_DATA_SIZE = 4;
-
-    private final Dictionary dictionary;
-    private final int wordId;
-    private final String surface;
-    private final int position;
-    private final Type type;
-
-    public TokenBase(int wordId, String surface, Type type, int position, Dictionary dictionary) {
-        this.wordId = wordId;
-        this.surface = surface;
-        this.type = type;
-        this.position = position;
-        this.dictionary = dictionary;
-    }
-
-    /**
-     * Gets the surface form of this token (表層形)
-     *
-     * @return surface form, not null
-     */
-    public String getSurface() {
-        return surface;
-    }
-
-    /**
-     * Predicate indicating whether this token is known (contained in the standard dictionary)
-     *
-     * @return true if the token is known, otherwise false
-     */
-    public boolean isKnown() {
-        return type == Type.KNOWN;
-    }
-
-    /**
-     * Predicate indicating whether this token is included is from the user dictionary
-     * 

-     * If a token is contained both in the user dictionary and standard dictionary, this method will return true
-     *
-     * @return true if this token is in user dictionary. false if not.
-     */
-    public boolean isUser() {
-        return type == Type.USER;
-    }
-
-    /**
-     * Gets the position/start index where this token is found in the input text
-     *
-     * @return token position
-     */
-    public int getPosition() {
-        return position;
-    }
-
-    /**
-     * Gets all features for this token as a comma-separated String
-     *
-     * @return token features, not null
-     */
-    public String getAllFeatures() {
-        return dictionary.getAllFeatures(wordId);
-    }
-
-    /**
-     * Gets all features for this token as a String array
-     *
-     * @return token feature array, not null
-     */
-    public String[] getAllFeaturesArray() {
-        return dictionary.getAllFeaturesArray(wordId);
-    }
-
-    @Override
-    public String toString() {
-        return "Token{" + "surface='" + surface + '\'' + ", position=" + position + ", type=" + type + ", dictionary="
-                        + dictionary + ", wordId=" + wordId + '}';
-    }
-
-    /**
-     * Gets a numbered feature for this token
-     *
-     * @param feature  feature number
-     * @return token feature, not null
-     */
-    protected String getFeature(int feature) {
-        return dictionary.getFeature(wordId, feature - META_DATA_SIZE);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/TokenizerBase.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/TokenizerBase.java
deleted file mode 100644
index a35dbf589..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/TokenizerBase.java
+++ /dev/null
@@ -1,302 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji;
-
-import com.atilika.kuromoji.dict.*;
-import com.atilika.kuromoji.trie.DoubleArrayTrie;
-import com.atilika.kuromoji.util.ResourceResolver;
-import com.atilika.kuromoji.viterbi.*;
-
-import java.io.*;
-import java.nio.charset.StandardCharsets;
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.EnumMap;
-import java.util.List;
-
-/**
- * TokenizerBase main class
- */
-public abstract class TokenizerBase {
-
-    public enum Mode {
-        NORMAL, SEARCH, EXTENDED
-    }
-
-    private ViterbiBuilder viterbiBuilder;
-
-    private ViterbiSearcher viterbiSearcher;
-
-    private ViterbiFormatter viterbiFormatter;
-
-    private boolean split;
-
-    private TokenInfoDictionary tokenInfoDictionary;
-
-    private UnknownDictionary unknownDictionary;
-
-    private UserDictionary userDictionary;
-
-    private InsertedDictionary insertedDictionary;
-
-    protected TokenFactory tokenFactory;
-
-    protected EnumMap dictionaryMap = new EnumMap<>(ViterbiNode.Type.class);
-
-    protected void configure(Builder builder) {
-
-        builder.loadDictionaries();
-
-        this.tokenFactory = builder.tokenFactory;
-
-        this.tokenInfoDictionary = builder.tokenInfoDictionary;
-        this.unknownDictionary = builder.unknownDictionary;
-        this.userDictionary = builder.userDictionary;
-        this.insertedDictionary = builder.insertedDictionary;
-
-        this.viterbiBuilder = new ViterbiBuilder(builder.doubleArrayTrie, tokenInfoDictionary, unknownDictionary,
-                        userDictionary, builder.mode);
-
-        this.viterbiSearcher = new ViterbiSearcher(builder.mode, builder.connectionCosts, unknownDictionary,
-                        builder.penalties);
-
-        this.viterbiFormatter = new ViterbiFormatter(builder.connectionCosts);
-        this.split = builder.split;
-
-        initDictionaryMap();
-    }
-
-    private void initDictionaryMap() {
-        dictionaryMap.put(ViterbiNode.Type.KNOWN, tokenInfoDictionary);
-        dictionaryMap.put(ViterbiNode.Type.UNKNOWN, unknownDictionary);
-        dictionaryMap.put(ViterbiNode.Type.USER, userDictionary);
-        dictionaryMap.put(ViterbiNode.Type.INSERTED, insertedDictionary);
-    }
-
-    public List tokenize(String text) {
-        return createTokenList(text);
-    }
-
-
-    /**
-     * Tokenizes the provided text and returns a list of tokens with various feature information
-     * 

-     * This method is thread safe
-     *
-     * @param text  text to tokenize
-     * @param   token type
-     * @return list of Token, not null
-     */
-    protected  List createTokenList(String text) {
-
-        if (!split) {
-            return createTokenList(0, text);
-        }
-
-        List splitPositions = getSplitPositions(text);
-
-        if (splitPositions.isEmpty()) {
-            return createTokenList(0, text);
-        }
-
-        ArrayList result = new ArrayList<>();
-
-        int offset = 0;
-
-        for (int position : splitPositions) {
-            result.addAll(this.createTokenList(offset, text.substring(offset, position + 1)));
-            offset = position + 1;
-        }
-
-        if (offset < text.length()) {
-            result.addAll(this.createTokenList(offset, text.substring(offset)));
-        }
-
-        return result;
-    }
-
-    /**
-     * Tokenizes the provided text and outputs the corresponding Viterbi lattice and the Viterbi path to the provided output stream
-     * 

-     * The output is written in DOT format.
-     * 

-     * This method is not thread safe
-     *
-     * @param outputStream  output stream to write to
-     * @param text  text to tokenize
-     * @throws IOException if an error occurs when writing the lattice and path
-     */
-    public void debugTokenize(OutputStream outputStream, String text) throws IOException {
-        ViterbiLattice lattice = viterbiBuilder.build(text);
-        List bestPath = viterbiSearcher.search(lattice);
-
-        outputStream.write(viterbiFormatter.format(lattice, bestPath).getBytes(StandardCharsets.UTF_8));
-        outputStream.flush();
-    }
-
-    /**
-     * Writes the Viterbi lattice for the provided text to an output stream
-     * 

-     * The output is written in DOT format.
-     * 

-     * This method is not thread safe
-     *
-     * @param outputStream  output stream to write to
-     * @param text  text to create lattice for
-     * @throws IOException if an error occurs when writing the lattice
-     */
-    public void debugLattice(OutputStream outputStream, String text) throws IOException {
-        ViterbiLattice lattice = viterbiBuilder.build(text);
-
-        outputStream.write(viterbiFormatter.format(lattice).getBytes(StandardCharsets.UTF_8));
-        outputStream.flush();
-    }
-
-    /**
-     * Split input text at 句読点, which is 。 and 、
-     *
-     * @param text
-     * @return list of split position
-     */
-    private List getSplitPositions(String text) {
-        ArrayList splitPositions = new ArrayList<>();
-        int position;
-        int currentPosition = 0;
-
-        while (true) {
-            int indexOfMaru = text.indexOf("。", currentPosition);
-            int indexOfTen = text.indexOf("、", currentPosition);
-
-            if (indexOfMaru < 0 || indexOfTen < 0) {
-                position = Math.max(indexOfMaru, indexOfTen);
-            } else {
-                position = Math.min(indexOfMaru, indexOfTen);
-            }
-
-            if (position >= 0) {
-                splitPositions.add(position);
-                currentPosition = position + 1;
-            } else {
-                break;
-            }
-        }
-
-        return splitPositions;
-    }
-
-    /**
-     * Tokenize input sentence.
-     *
-     * @param offset   offset of sentence in original input text
-     * @param text sentence to tokenize
-     * @return list of Token
-     */
-    private  List createTokenList(int offset, String text) {
-        ArrayList result = new ArrayList<>();
-
-        ViterbiLattice lattice = viterbiBuilder.build(text);
-        List bestPath = viterbiSearcher.search(lattice);
-
-        for (ViterbiNode node : bestPath) {
-            int wordId = node.getWordId();
-            if (node.getType() == ViterbiNode.Type.KNOWN && wordId == -1) { // Do not include BOS/EOS
-                continue;
-            }
-            @SuppressWarnings("unchecked")
-            T token = (T) tokenFactory.createToken(wordId, node.getSurface(), node.getType(),
-                            offset + node.getStartIndex(), dictionaryMap.get(node.getType()));
-            result.add(token);
-        }
-
-        return result;
-    }
-
-    /**
-     * Abstract Builder shared by all tokenizers
-     */
-    public abstract static class Builder {
-        protected DoubleArrayTrie doubleArrayTrie;
-        protected ConnectionCosts connectionCosts;
-        protected TokenInfoDictionary tokenInfoDictionary;
-        protected UnknownDictionary unknownDictionary;
-        protected CharacterDefinitions characterDefinitions;
-        protected InsertedDictionary insertedDictionary;
-        protected UserDictionary userDictionary = null;
-
-        protected Mode mode = Mode.NORMAL;
-        protected boolean split = true;
-        protected List penalties = Collections.emptyList();
-
-        protected int totalFeatures = -1;
-        protected int readingFeature = -1;
-        protected int partOfSpeechFeature = -1;
-
-        protected ResourceResolver resolver;
-
-        protected TokenFactory tokenFactory;
-
-        protected void loadDictionaries() {
-            try {
-                doubleArrayTrie = DoubleArrayTrie.newInstance(resolver);
-                connectionCosts = ConnectionCosts.newInstance(resolver);
-                tokenInfoDictionary = TokenInfoDictionary.newInstance(resolver);
-                characterDefinitions = CharacterDefinitions.newInstance(resolver);
-                unknownDictionary = UnknownDictionary.newInstance(resolver, characterDefinitions, totalFeatures);
-                insertedDictionary = new InsertedDictionary(totalFeatures);
-            } catch (Exception ouch) {
-                throw new RuntimeException("Could not load dictionaries.", ouch);
-            }
-        }
-
-        /**
-         * Creates a Tokenizer instance defined by this Builder
-         *
-         * @param  token type
-         * @return Tokenizer instance
-         */
-        public abstract  T build();
-
-        /**
-         * Sets an optional user dictionary as an input stream
-         * 

-         * The inpuut stream provided is not closed by this method
-         *
-         * @param input  user dictionary as an input stream
-         * @return this builder
-         * @throws IOException if an error occurs when reading the user dictionary
-         */
-        public Builder userDictionary(InputStream input) throws IOException {
-            this.userDictionary = new UserDictionary(input, totalFeatures, readingFeature, partOfSpeechFeature);
-            return this;
-        }
-
-        /**
-         * Sets an optional user dictionary filename
-         *
-         * @param filename  user dictionary filename
-         * @return this builder
-         * @throws IOException if an error occurs when reading the user dictionary
-         */
-        public Builder userDictionary(String filename) throws IOException {
-            InputStream input = new BufferedInputStream(new FileInputStream(filename));
-
-            this.userDictionary(input);
-            input.close();
-            return this;
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/BufferEntry.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/BufferEntry.java
deleted file mode 100644
index a1a9924cd..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/BufferEntry.java
+++ /dev/null
@@ -1,32 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.buffer;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class BufferEntry {
-
-    public List tokenInfo = new ArrayList<>();
-    public List features = new ArrayList<>();
-    public List posInfo = new ArrayList<>();
-
-    public short[] tokenInfos; // left id, right id, word cost values
-    public int[] featureInfos; // references to string features
-    public byte[] posInfos; // part-of-speech tag values
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/FeatureInfoMap.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/FeatureInfoMap.java
deleted file mode 100644
index 27008d305..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/FeatureInfoMap.java
+++ /dev/null
@@ -1,59 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.buffer;
-
-import java.util.*;
-
-public class FeatureInfoMap {
-
-    private Map featureMap = new HashMap<>();
-
-    private int maxValue = 0;
-
-    public List mapFeatures(List allPosFeatures) {
-        List posFeatureIds = new ArrayList<>();
-        for (String feature : allPosFeatures) {
-            if (featureMap.containsKey(feature)) {
-                posFeatureIds.add(featureMap.get(feature));
-            } else {
-                featureMap.put(feature, maxValue);
-                posFeatureIds.add(maxValue);
-                maxValue++;
-            }
-        }
-        return posFeatureIds;
-    }
-
-    public TreeMap invert() {
-        TreeMap features = new TreeMap<>();
-
-        for (String key : featureMap.keySet()) {
-            features.put(featureMap.get(key), key);
-        }
-
-        return features;
-    }
-
-    public int getEntryCount() {
-        return maxValue;
-    }
-
-    @Override
-    public String toString() {
-        return "FeatureInfoMap{" + "featureMap=" + featureMap + ", maxValue=" + maxValue + '}';
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/StringValueMapBuffer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/StringValueMapBuffer.java
deleted file mode 100644
index 1fcdbf4c2..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/StringValueMapBuffer.java
+++ /dev/null
@@ -1,96 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.buffer;
-
-import com.atilika.kuromoji.io.ByteBufferIO;
-
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.OutputStream;
-import java.nio.ByteBuffer;
-import java.nio.charset.StandardCharsets;
-import java.util.TreeMap;
-
-public class StringValueMapBuffer {
-
-    private static final int INTEGER_BYTES = Integer.SIZE / Byte.SIZE;
-
-    private static final int SHORT_BYTES = Short.SIZE / Byte.SIZE;
-
-    private ByteBuffer buffer;
-
-    public StringValueMapBuffer(TreeMap features) {
-        putMap(features);
-    }
-
-    public StringValueMapBuffer(InputStream is) throws IOException {
-        buffer = ByteBufferIO.read(is);
-    }
-
-    private static int getMetaDataSize() {
-        return INTEGER_BYTES;
-    }
-
-    public void putMap(TreeMap input) {
-        buffer = ByteBuffer.wrap(new byte[calculateSize(input) + getMetaDataSize()]);
-
-        buffer.putInt(input.size());
-        int position = getMetaDataSize();
-        int address = position + input.size() * INTEGER_BYTES;
-
-
-        for (Integer index : input.keySet()) {
-            buffer.putInt(position, address);
-            address = putString(address, input.get(index));
-            position += INTEGER_BYTES;
-        }
-    }
-
-    private int calculateSize(TreeMap input) {
-        int size = 0;
-        for (String value : input.values()) {
-            size += INTEGER_BYTES + value.getBytes(StandardCharsets.UTF_8).length + 2 * INTEGER_BYTES;
-        }
-        return size;
-    }
-
-    private int putString(int address, String s) {
-        byte[] bytes = s.getBytes(StandardCharsets.UTF_8);
-
-        buffer.position(address);
-        // TODO: The length field in the entry (bytes.length) field can be optimized (shrunk) for most dictionary types.
-        buffer.putShort((short) bytes.length);
-        buffer.put(bytes);
-
-        return address + SHORT_BYTES + bytes.length;
-    }
-
-    public String get(int i) {
-        int address = buffer.getInt(i * INTEGER_BYTES + getMetaDataSize());
-        return getString(address);
-    }
-
-    private String getString(int address) {
-        int length = buffer.getShort(address);
-        return new String(buffer.array(), address + SHORT_BYTES, length, StandardCharsets.UTF_8);
-    }
-
-    public void write(OutputStream os) throws IOException {
-        ByteBufferIO.write(os, buffer);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/TokenInfoBuffer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/TokenInfoBuffer.java
deleted file mode 100644
index 8a677fd62..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/TokenInfoBuffer.java
+++ /dev/null
@@ -1,117 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.buffer;
-
-import com.atilika.kuromoji.io.ByteBufferIO;
-
-import java.io.IOException;
-import java.io.InputStream;
-import java.nio.ByteBuffer;
-
-public class TokenInfoBuffer {
-
-    private static final int INTEGER_BYTES = Integer.SIZE / Byte.SIZE;
-    private static final int SHORT_BYTES = Short.SIZE / Byte.SIZE;
-
-    private ByteBuffer buffer;
-
-    private final int tokenInfoCount;
-    private final int posInfoCount;
-    private final int featureCount;
-
-    private final int entrySize;
-
-    public TokenInfoBuffer(InputStream is) throws IOException {
-        buffer = ByteBufferIO.read(is);
-        tokenInfoCount = getTokenInfoCount();
-        posInfoCount = getPosInfoCount();
-        featureCount = getFeatureCount();
-        entrySize = getEntrySize(tokenInfoCount, posInfoCount, featureCount);
-    }
-
-    public BufferEntry lookupEntry(int offset) {
-        BufferEntry entry = new BufferEntry();
-
-        entry.tokenInfos = new short[tokenInfoCount];
-        entry.posInfos = new byte[posInfoCount];
-        entry.featureInfos = new int[featureCount];
-
-        int entrySize = getEntrySize(tokenInfoCount, posInfoCount, featureCount);
-        int position = getPosition(offset, entrySize);
-
-        // Get left id, right id and word cost
-        for (int i = 0; i < tokenInfoCount; i++) {
-            entry.tokenInfos[i] = buffer.getShort(position + i * SHORT_BYTES);
-        }
-
-        // Get part of speech tags values (not strings yet)
-        for (int i = 0; i < posInfoCount; i++) {
-            entry.posInfos[i] = buffer.get(position + tokenInfoCount * SHORT_BYTES + i);
-        }
-
-        // Get field value references (string references)
-        for (int i = 0; i < featureCount; i++) {
-            entry.featureInfos[i] =
-                            buffer.getInt(position + tokenInfoCount * SHORT_BYTES + posInfoCount + i * INTEGER_BYTES);
-        }
-
-        return entry;
-    }
-
-    public int lookupTokenInfo(int offset, int i) {
-        int position = getPosition(offset, entrySize);
-        return buffer.getShort(position + i * SHORT_BYTES);
-    }
-
-    public int lookupPartOfSpeechFeature(int offset, int i) {
-        int position = getPosition(offset, entrySize);
-
-        return 0xff & buffer.get(position + tokenInfoCount * SHORT_BYTES + i);
-    }
-
-    public int lookupFeature(int offset, int i) {
-        int position = getPosition(offset, entrySize);
-
-        return buffer.getInt(
-                        position + tokenInfoCount * SHORT_BYTES + posInfoCount + (i - posInfoCount) * INTEGER_BYTES);
-    }
-
-    public boolean isPartOfSpeechFeature(int i) {
-        int posInfoCount = getPosInfoCount();
-        return (i < posInfoCount);
-    }
-
-    private int getTokenInfoCount() {
-        return buffer.getInt(INTEGER_BYTES * 2);
-    }
-
-    private int getPosInfoCount() {
-        return buffer.getInt(INTEGER_BYTES * 3);
-    }
-
-    private int getFeatureCount() {
-        return buffer.getInt(INTEGER_BYTES * 4);
-    }
-
-    private int getEntrySize(int tokenInfoCount, int posInfoCount, int featureCount) {
-        return tokenInfoCount * SHORT_BYTES + posInfoCount + featureCount * INTEGER_BYTES;
-    }
-
-    private int getPosition(int offset, int entrySize) {
-        return offset * entrySize + INTEGER_BYTES * 5;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/WordIdMap.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/WordIdMap.java
deleted file mode 100644
index b56f9c491..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/buffer/WordIdMap.java
+++ /dev/null
@@ -1,47 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.buffer;
-
-import com.atilika.kuromoji.io.IntegerArrayIO;
-
-import java.io.IOException;
-import java.io.InputStream;
-import java.util.Arrays;
-
-public class WordIdMap {
-
-    private final int[] indices;
-
-    private final int[] wordIds;
-
-    private final int[] empty = new int[] {};
-
-    public WordIdMap(InputStream input) throws IOException {
-        indices = IntegerArrayIO.readArray(input);
-        wordIds = IntegerArrayIO.readArray(input);
-    }
-
-    public int[] lookUp(int sourceId) {
-        int index = indices[sourceId];
-
-        if (index == -1) {
-            return empty;
-        }
-
-        return Arrays.copyOfRange(wordIds, index + 1, index + 1 + wordIds[index]);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/CharacterDefinitionsCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/CharacterDefinitionsCompiler.java
deleted file mode 100644
index 2a87c2768..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/CharacterDefinitionsCompiler.java
+++ /dev/null
@@ -1,211 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.io.IntegerArrayIO;
-import com.atilika.kuromoji.io.StringArrayIO;
-
-import java.io.*;
-import java.util.*;
-
-public class CharacterDefinitionsCompiler implements Compiler {
-
-    private Map categoryDefinitions = new TreeMap<>();
-
-    @SuppressWarnings("unchecked")
-    private List> codepointCategories = new ArrayList<>(new TreeSet());
-
-    private OutputStream output;
-
-    public CharacterDefinitionsCompiler(OutputStream output) {
-        this.output = output;
-
-        for (int i = 0; i < 65536; i++) {
-            codepointCategories.add(null);
-        }
-    }
-
-    public void readCharacterDefinition(InputStream stream, String encoding) throws IOException {
-        LineNumberReader reader = new LineNumberReader(new InputStreamReader(stream, encoding));
-
-        String line;
-
-        while ((line = reader.readLine()) != null) {
-            // Strip comments
-            line = line.replaceAll("\\s*#.*", "");
-
-            // Skip empty line or comment line
-            if (line.isEmpty()) {
-                continue;
-            }
-
-            if (isCategoryEntry(line)) {
-                parseCategory(line);
-            } else {
-                parseMapping(line);
-            }
-        }
-    }
-
-    private void parseCategory(String line) {
-        String[] values = line.split("\\s+");
-
-        String classname = values[0];
-        int invoke = Integer.parseInt(values[1]);
-        int group = Integer.parseInt(values[2]);
-        int length = Integer.parseInt(values[3]);
-
-        assert !categoryDefinitions.containsKey(classname);
-
-        categoryDefinitions.put(classname, new int[] {invoke, group, length});
-    }
-
-    private void parseMapping(String line) {
-        String[] values = line.split("\\s+");
-
-        assert values.length >= 2;
-
-        String codepointString = values[0];
-        List categories = getCategories(values);
-
-        if (codepointString.contains("..")) {
-            String[] codepoints = codepointString.split("\\.\\.");
-
-            int lowerCodepoint = Integer.decode(codepoints[0]);
-            int upperCodepoint = Integer.decode(codepoints[1]);
-
-            for (int i = lowerCodepoint; i <= upperCodepoint; i++) {
-                addMapping(i, categories);
-            }
-
-        } else {
-            int codepoint = Integer.decode(codepointString);
-
-            addMapping(codepoint, categories);
-        }
-    }
-
-    private List getCategories(String[] values) {
-        return Arrays.asList(values).subList(1, values.length);
-    }
-
-    private void addMapping(int codepoint, List categories) {
-        for (String category : categories) {
-            addMapping(codepoint, category);
-        }
-    }
-
-    private void addMapping(int codepoint, String category) {
-        Set categories = codepointCategories.get(codepoint);
-
-        if (categories == null) {
-            categories = new TreeSet<>();
-            codepointCategories.set(codepoint, categories);
-        }
-
-        categories.add(category);
-    }
-
-    private boolean isCategoryEntry(String line) {
-        return !line.startsWith("0x");
-    }
-
-    public Map makeCharacterCategoryMap() {
-        Map classMapping = new TreeMap<>();
-        int i = 0;
-
-        for (String category : categoryDefinitions.keySet()) {
-            classMapping.put(category, i++);
-        }
-        return classMapping;
-    }
-
-    private int[][] makeCharacterDefinitions() {
-        Map categoryMap = makeCharacterCategoryMap();
-        int size = categoryMap.size();
-        int[][] array = new int[size][];
-
-        for (String category : categoryDefinitions.keySet()) {
-            int[] values = categoryDefinitions.get(category);
-
-            assert values.length == 3;
-
-            int index = categoryMap.get(category);
-            array[index] = values;
-        }
-
-        return array;
-    }
-
-    private int[][] makeCharacterMappings() {
-        Map categoryMap = makeCharacterCategoryMap();
-
-        int size = codepointCategories.size();
-        int[][] array = new int[size][];
-
-        for (int i = 0; i < size; i++) {
-            Set categories = codepointCategories.get(i);
-
-            if (categories != null) {
-                int innerSize = categories.size();
-                int[] inner = new int[innerSize];
-
-                int j = 0;
-
-                for (String value : categories) {
-                    inner[j++] = categoryMap.get(value);
-                }
-                array[i] = inner;
-            }
-        }
-
-        return array;
-    }
-
-    private String[] makeCharacterCategorySymbols() {
-        Map categoryMap = makeCharacterCategoryMap();
-        Map inverted = new TreeMap<>();
-
-        for (String key : categoryMap.keySet()) {
-            inverted.put(categoryMap.get(key), key);
-        }
-
-        String[] categories = new String[inverted.size()];
-
-        for (Integer index : inverted.keySet()) {
-            categories[index] = inverted.get(index);
-        }
-
-        return categories;
-    }
-
-    public Map getCategoryDefinitions() {
-        return categoryDefinitions;
-    }
-
-    public List> getCodepointCategories() {
-        return codepointCategories;
-    }
-
-    @Override
-    public void compile() throws IOException {
-        IntegerArrayIO.writeSparseArray2D(output, makeCharacterDefinitions());
-        IntegerArrayIO.writeSparseArray2D(output, makeCharacterMappings());
-        StringArrayIO.writeArray(output, makeCharacterCategorySymbols());
-        output.close();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/Compiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/Compiler.java
deleted file mode 100644
index 90c2022bb..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/Compiler.java
+++ /dev/null
@@ -1,24 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import java.io.IOException;
-
-public interface Compiler {
-
-    void compile() throws IOException;
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/ConnectionCostsCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/ConnectionCostsCompiler.java
deleted file mode 100644
index 4091876e9..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/ConnectionCostsCompiler.java
+++ /dev/null
@@ -1,104 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import java.io.*;
-import java.nio.ByteBuffer;
-import java.nio.ShortBuffer;
-import java.nio.channels.Channels;
-import java.nio.channels.WritableByteChannel;
-
-public class ConnectionCostsCompiler implements Compiler {
-
-    private static final int SHORT_BYTES = Short.SIZE / Byte.SIZE;
-
-    private OutputStream output;
-
-    private int cardinality;
-
-    private int bufferSize;
-
-    private ShortBuffer costs;
-
-    public ConnectionCostsCompiler(OutputStream output) {
-        this.output = output;
-    }
-
-    public void readCosts(InputStream input) throws IOException {
-        BufferedReader lineReader = new BufferedReader(new InputStreamReader(input));
-
-        String line = lineReader.readLine();
-        String[] cardinalities = line.split("\\s+");
-
-        assert cardinalities.length == 2;
-
-        int forwardSize = Integer.parseInt(cardinalities[0]);
-        int backwardSize = Integer.parseInt(cardinalities[1]);
-
-        assert forwardSize == backwardSize;
-        assert forwardSize > 0;
-        assert backwardSize > 0;
-
-        cardinality = backwardSize;
-        bufferSize = forwardSize * backwardSize;
-        costs = ShortBuffer.allocate(bufferSize);
-
-        while ((line = lineReader.readLine()) != null) {
-            String[] fields = line.split("\\s+");
-
-            assert fields.length == 3;
-
-            short forwardId = Short.parseShort(fields[0]);
-            short backwardId = Short.parseShort(fields[1]);
-            short cost = Short.parseShort(fields[2]);
-
-            putCost(forwardId, backwardId, cost);
-        }
-    }
-
-    public void putCost(short forwardId, short backwardId, short cost) {
-        this.costs.put(backwardId + forwardId * cardinality, cost);
-    }
-
-    @Override
-    public void compile() throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(new BufferedOutputStream(output));
-
-        dataOutput.writeInt(cardinality);
-        dataOutput.writeInt(bufferSize * SHORT_BYTES);
-
-        ByteBuffer byteBuffer = ByteBuffer.allocate(costs.array().length * SHORT_BYTES);
-
-        for (short cost : this.costs.array()) {
-            byteBuffer.putShort(cost);
-        }
-
-        WritableByteChannel channel = Channels.newChannel(dataOutput);
-
-        byteBuffer.flip();
-        channel.write(byteBuffer);
-        dataOutput.close();
-    }
-
-    public int getCardinality() {
-        return cardinality;
-    }
-
-    public ShortBuffer getCosts() {
-        return costs;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/DictionaryCompilerBase.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/DictionaryCompilerBase.java
deleted file mode 100644
index e5f1c3379..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/DictionaryCompilerBase.java
+++ /dev/null
@@ -1,138 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.dict.CharacterDefinitions;
-import com.atilika.kuromoji.dict.ConnectionCosts;
-import com.atilika.kuromoji.dict.UnknownDictionary;
-import com.atilika.kuromoji.trie.DoubleArrayTrie;
-import lombok.extern.slf4j.Slf4j;
-
-import java.io.*;
-import java.util.List;
-
-@Slf4j
-public abstract class DictionaryCompilerBase {
-
-    public void build(String inputDirname, String outputDirname, String encoding, boolean compactTries)
-                    throws IOException {
-        File outputDir = new File(outputDirname);
-        outputDir.mkdirs();
-        buildTokenInfoDictionary(inputDirname, outputDirname, encoding, compactTries);
-        buildUnknownWordDictionary(inputDirname, outputDirname, encoding);
-        buildConnectionCosts(inputDirname, outputDirname);
-    }
-
-    private void buildTokenInfoDictionary(String inputDirname, String outputDirname, String encoding,
-                    boolean compactTrie) throws IOException {
-        ProgressLog.begin("compiling tokeninfo dict");
-        TokenInfoDictionaryCompilerBase tokenInfoCompiler = getTokenInfoDictionaryCompiler(encoding);
-
-        ProgressLog.println("analyzing dictionary features");
-        tokenInfoCompiler.analyzeTokenInfo(tokenInfoCompiler.combinedSequentialFileInputStream(new File(inputDirname)));
-        ProgressLog.println("reading tokeninfo");
-        tokenInfoCompiler.readTokenInfo(tokenInfoCompiler.combinedSequentialFileInputStream(new File(inputDirname)));
-        tokenInfoCompiler.compile();
-
-        @SuppressWarnings("unchecked")
-        List surfaces = tokenInfoCompiler.getSurfaces();
-
-        ProgressLog.begin("compiling double array trie");
-        DoubleArrayTrie trie = DoubleArrayTrieCompiler.build(surfaces, compactTrie);
-        OutputStream daTrieOutput = new FileOutputStream(
-                        outputDirname + File.separator + DoubleArrayTrie.DOUBLE_ARRAY_TRIE_FILENAME);
-        trie.write(daTrieOutput);
-        daTrieOutput.close();
-
-        try {
-            ProgressLog.println("validating saved double array trie");
-            DoubleArrayTrie daTrie = DoubleArrayTrie.read(new FileInputStream(
-                            outputDirname + File.separator + DoubleArrayTrie.DOUBLE_ARRAY_TRIE_FILENAME));
-            for (String surface : surfaces) {
-                if (daTrie.lookup(surface) < 0) {
-                    ProgressLog.println("failed to look up [" + surface + "]");
-                }
-            }
-        } catch (Exception e) {
-            log.error("",e);
-        }
-        ProgressLog.end();
-
-        ProgressLog.begin("processing target map");
-        for (int i = 0; i < surfaces.size(); i++) {
-            int doubleArrayId = trie.lookup(surfaces.get(i));
-            assert doubleArrayId > 0;
-            tokenInfoCompiler.addMapping(doubleArrayId, i);
-        }
-        tokenInfoCompiler.write(outputDirname); // TODO: Should be refactored -Christian
-        ProgressLog.end();
-
-        ProgressLog.end();
-    }
-
-    abstract protected TokenInfoDictionaryCompilerBase getTokenInfoDictionaryCompiler(String encoding);
-
-    protected void buildUnknownWordDictionary(String inputDirname, String outputDirname, String encoding)
-                    throws IOException {
-        ProgressLog.begin("compiling unknown word dict");
-
-        CharacterDefinitionsCompiler charDefCompiler =
-                        new CharacterDefinitionsCompiler(new BufferedOutputStream(new FileOutputStream(
-                                        new File(outputDirname, CharacterDefinitions.CHARACTER_DEFINITIONS_FILENAME))));
-        charDefCompiler.readCharacterDefinition(
-                        new BufferedInputStream(new FileInputStream(new File(inputDirname, "char.def"))), encoding);
-        charDefCompiler.compile();
-
-        UnknownDictionaryCompiler unkDefCompiler = new UnknownDictionaryCompiler(
-                        charDefCompiler.makeCharacterCategoryMap(),
-                        new FileOutputStream(new File(outputDirname, UnknownDictionary.UNKNOWN_DICTIONARY_FILENAME)));
-
-        unkDefCompiler.readUnknownDefinition(
-                        new BufferedInputStream(new FileInputStream(new File(inputDirname, "unk.def"))), encoding);
-
-        unkDefCompiler.compile();
-
-        ProgressLog.end();
-    }
-
-    private void buildConnectionCosts(String inputDirname, String outputDirname) throws IOException {
-        ProgressLog.begin("compiling connection costs");
-        ConnectionCostsCompiler connectionCostsCompiler = new ConnectionCostsCompiler(
-                        new FileOutputStream(new File(outputDirname, ConnectionCosts.CONNECTION_COSTS_FILENAME)));
-        connectionCostsCompiler.readCosts(new FileInputStream(new File(inputDirname, "matrix.def")));
-        connectionCostsCompiler.compile();
-
-        ProgressLog.end();
-    }
-
-    protected void build(String[] args) throws IOException {
-        String inputDirname = args[0];
-        String outputDirname = args[1];
-        String inputEncoding = args[2];
-        boolean compactTries = Boolean.parseBoolean(args[3]);
-
-        ProgressLog.println("dictionary compiler");
-        ProgressLog.println("");
-        ProgressLog.println("input directory: " + inputDirname);
-        ProgressLog.println("output directory: " + outputDirname);
-        ProgressLog.println("input encoding: " + inputEncoding);
-        ProgressLog.println("compact tries: " + compactTries);
-        ProgressLog.println("");
-
-        build(inputDirname, outputDirname, inputEncoding, compactTries);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/DoubleArrayTrieCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/DoubleArrayTrieCompiler.java
deleted file mode 100644
index 415bfc955..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/DoubleArrayTrieCompiler.java
+++ /dev/null
@@ -1,37 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.trie.DoubleArrayTrie;
-import com.atilika.kuromoji.trie.Trie;
-
-import java.util.List;
-
-public class DoubleArrayTrieCompiler {
-
-    public static DoubleArrayTrie build(List surfaces, boolean compact) {
-        Trie trie = new Trie();
-
-        for (String surface : surfaces) {
-            trie.add(surface);
-        }
-        DoubleArrayTrie doubleArrayTrie = new DoubleArrayTrie(compact);
-        doubleArrayTrie.build(trie);
-
-        return doubleArrayTrie;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/ProgressLog.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/ProgressLog.java
deleted file mode 100644
index f5c4ec7ba..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/ProgressLog.java
+++ /dev/null
@@ -1,69 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import java.text.DateFormat;
-import java.text.SimpleDateFormat;
-import java.util.Date;
-import java.util.HashMap;
-import java.util.Map;
-
-/**
- * Simple progress logger
- */
-public class ProgressLog {
-    private static int indent = 0;
-    private static boolean atEOL = false;
-    private static DateFormat dateFormat = new SimpleDateFormat("HH:mm:ss");
-    private static Map startTimes = new HashMap<>();
-
-    public static void begin(String message) {
-        newLine();
-        System.out.print(leader() + message + "... ");
-        System.out.flush();
-        atEOL = true;
-        indent++;
-        startTimes.put(indent, System.currentTimeMillis());
-    }
-
-    public static void end() {
-        newLine();
-        Long start = startTimes.get(indent);
-        indent = Math.max(0, indent - 1);
-        System.out.println(leader() + "done"
-                        + (start != null ? " [" + ((System.currentTimeMillis() - start) / 1000) + "s]" : ""));
-        System.out.flush();
-    }
-
-    public static void println(String message) {
-        newLine();
-        System.out.println(leader() + message);
-        System.out.flush();
-    }
-
-    private static void newLine() {
-        if (atEOL) {
-            System.out.println();
-        }
-        atEOL = false;
-    }
-
-    private static String leader() {
-        return "[KUROMOJI] " + dateFormat.format(new Date()) + ": "
-                        + (new String(new char[indent * 4]).replace("\0", " "));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/TokenInfoBufferCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/TokenInfoBufferCompiler.java
deleted file mode 100644
index 24fd32525..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/TokenInfoBufferCompiler.java
+++ /dev/null
@@ -1,88 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.buffer.BufferEntry;
-import com.atilika.kuromoji.io.ByteBufferIO;
-
-import java.io.IOException;
-import java.io.OutputStream;
-import java.nio.ByteBuffer;
-import java.util.List;
-
-public class TokenInfoBufferCompiler implements Compiler {
-
-    private static final int INTEGER_BYTES = Integer.SIZE / Byte.SIZE;
-    private static final int SHORT_BYTES = Short.SIZE / Byte.SIZE;
-
-    private ByteBuffer buffer;
-
-    private OutputStream output;
-
-    public TokenInfoBufferCompiler(OutputStream output, List entries) {
-        this.output = output;
-        putEntries(entries);
-    }
-
-    public void putEntries(List entries) {
-        int size = calculateEntriesSize(entries) * 2;
-
-        this.buffer = ByteBuffer.allocate(size + INTEGER_BYTES * 4);
-
-        buffer.putInt(size);
-        buffer.putInt(entries.size());
-        BufferEntry firstEntry = entries.get(0);
-
-        buffer.putInt(firstEntry.tokenInfo.size());
-        buffer.putInt(firstEntry.posInfo.size());
-        buffer.putInt(firstEntry.features.size());
-
-        for (BufferEntry entry : entries) {
-            for (Short s : entry.tokenInfo) {
-                buffer.putShort(s);
-            }
-
-            for (Byte b : entry.posInfo) {
-                buffer.put(b);
-            }
-
-            for (Integer feature : entry.features) {
-                buffer.putInt(feature);
-            }
-        }
-    }
-
-    private int calculateEntriesSize(List entries) {
-        if (entries.isEmpty()) {
-            return 0;
-        } else {
-            int size = 0;
-            BufferEntry entry = entries.get(0);
-            size += entry.tokenInfo.size() * SHORT_BYTES + SHORT_BYTES;
-            size += entry.posInfo.size();
-            size += entry.features.size() * INTEGER_BYTES;
-            size *= entries.size();
-            return size;
-        }
-    }
-
-    @Override
-    public void compile() throws IOException {
-        ByteBufferIO.write(output, buffer);
-        output.close();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/TokenInfoDictionaryCompilerBase.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/TokenInfoDictionaryCompilerBase.java
deleted file mode 100644
index 1b58dd40c..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/TokenInfoDictionaryCompilerBase.java
+++ /dev/null
@@ -1,221 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.buffer.BufferEntry;
-import com.atilika.kuromoji.buffer.FeatureInfoMap;
-import com.atilika.kuromoji.buffer.StringValueMapBuffer;
-import com.atilika.kuromoji.buffer.WordIdMap;
-import com.atilika.kuromoji.dict.DictionaryEntryBase;
-import com.atilika.kuromoji.dict.GenericDictionaryEntry;
-import com.atilika.kuromoji.dict.TokenInfoDictionary;
-import org.deeplearning4j.common.util.DL4JFileUtils;
-
-import java.io.*;
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.List;
-import java.util.TreeMap;
-
-public abstract class TokenInfoDictionaryCompilerBase implements Compiler {
-
-    protected List bufferEntries = new ArrayList<>();
-    protected FeatureInfoMap posInfo = new FeatureInfoMap();
-    protected FeatureInfoMap otherInfo = new FeatureInfoMap();
-    protected WordIdMapCompiler wordIdsCompiler = new WordIdMapCompiler();
-
-    // optional list to collect the generic dictionary entries
-    protected List dictionaryEntries = null;
-
-    private String encoding;
-    private List surfaces = new ArrayList<>();
-
-    public TokenInfoDictionaryCompilerBase(String encoding) {
-        this.encoding = encoding;
-    }
-
-    public void analyzeTokenInfo(InputStream input) throws IOException {
-        BufferedReader reader = new BufferedReader(new InputStreamReader(input, encoding));
-        String line;
-
-        while ((line = reader.readLine()) != null) {
-            T entry = parse(line);
-
-            GenericDictionaryEntry dictionaryEntry = generateGenericDictionaryEntry(entry);
-
-            posInfo.mapFeatures(dictionaryEntry.getPosFeatures());
-        }
-    }
-
-    public void readTokenInfo(InputStream input) throws IOException {
-        BufferedReader reader = new BufferedReader(new InputStreamReader(input, encoding));
-        String line;
-        int entryCount = posInfo.getEntryCount();
-
-        while ((line = reader.readLine()) != null) {
-            T entry = parse(line);
-
-            GenericDictionaryEntry dictionaryEntry = generateGenericDictionaryEntry(entry);
-
-            short leftId = dictionaryEntry.getLeftId();
-            short rightId = dictionaryEntry.getRightId();
-            short wordCost = dictionaryEntry.getWordCost();
-
-            List allPosFeatures = dictionaryEntry.getPosFeatures();
-
-            List posFeatureIds = posInfo.mapFeatures(allPosFeatures);
-
-            List featureList = dictionaryEntry.getFeatures();
-            List otherFeatureIds = otherInfo.mapFeatures(featureList);
-
-            BufferEntry bufferEntry = new BufferEntry();
-            bufferEntry.tokenInfo.add(leftId);
-            bufferEntry.tokenInfo.add(rightId);
-            bufferEntry.tokenInfo.add(wordCost);
-
-            if (entriesFitInAByte(entryCount)) {
-                List posFeatureIdBytes = createPosFeatureIds(posFeatureIds);
-                bufferEntry.posInfo.addAll(posFeatureIdBytes);
-            } else {
-                for (Integer posFeatureId : posFeatureIds) {
-                    bufferEntry.tokenInfo.add(posFeatureId.shortValue());
-                }
-            }
-
-            bufferEntry.features.addAll(otherFeatureIds);
-
-            bufferEntries.add(bufferEntry);
-            surfaces.add(dictionaryEntry.getSurface());
-
-            if (dictionaryEntries != null) {
-                dictionaryEntries.add(dictionaryEntry);
-            }
-        }
-    }
-
-    protected abstract GenericDictionaryEntry generateGenericDictionaryEntry(T entry);
-
-    protected abstract T parse(String line);
-
-    @Override
-    public void compile() throws IOException {
-        // TODO: Should call this method instead of write()
-    }
-
-    private boolean entriesFitInAByte(int entryCount) {
-        return entryCount <= 0xff;
-    }
-
-    private List createPosFeatureIds(List posFeatureIds) {
-        List posFeatureIdBytes = new ArrayList<>();
-        for (Integer posFeatureId : posFeatureIds) {
-            posFeatureIdBytes.add(posFeatureId.byteValue());
-        }
-        return posFeatureIdBytes;
-    }
-
-
-    public InputStream combinedSequentialFileInputStream(File dir) throws FileNotFoundException {
-        List fileInputStreams = new ArrayList<>();
-        List files = getCsvFiles(dir);
-
-        for (File file : files) {
-            fileInputStreams.add(new FileInputStream(file));
-        }
-
-        return new SequenceInputStream(Collections.enumeration(fileInputStreams));
-    }
-
-    public List getCsvFiles(File dir) {
-        FilenameFilter filter = new FilenameFilter() {
-            @Override
-            public boolean accept(File dir, String name) {
-                return name.endsWith(".csv");
-            }
-        };
-
-        ArrayList files = new ArrayList<>();
-        Collections.addAll(files, dir.listFiles(filter));
-        Collections.sort(files);
-        return files;
-    }
-
-    public void addMapping(int sourceId, int wordId) {
-        wordIdsCompiler.addMapping(sourceId, wordId);
-    }
-
-    public List getSurfaces() {
-        return surfaces;
-    }
-
-    public void write(String directoryName) throws IOException {
-        writeDictionary(directoryName + File.separator + TokenInfoDictionary.TOKEN_INFO_DICTIONARY_FILENAME);
-        writeMap(directoryName + File.separator + TokenInfoDictionary.POS_MAP_FILENAME, posInfo);
-        writeMap(directoryName + File.separator + TokenInfoDictionary.FEATURE_MAP_FILENAME, otherInfo);
-        writeWordIds(directoryName + File.separator + TokenInfoDictionary.TARGETMAP_FILENAME);
-    }
-
-
-    protected void writeMap(String filename, FeatureInfoMap map) throws IOException {
-        TreeMap features = map.invert();
-
-        StringValueMapBuffer mapBuffer = new StringValueMapBuffer(features);
-        FileOutputStream fos = new FileOutputStream(filename);
-        mapBuffer.write(fos);
-    }
-
-    protected void writeDictionary(String filename) throws IOException {
-        TokenInfoBufferCompiler tokenInfoBufferCompiler =
-                        new TokenInfoBufferCompiler(new FileOutputStream(filename), bufferEntries);
-        tokenInfoBufferCompiler.compile();
-    }
-
-    protected void writeWordIds(String filename) throws IOException {
-        wordIdsCompiler.write(new FileOutputStream(filename));
-    }
-
-    @Deprecated
-    public WordIdMap getWordIdMap() throws IOException {
-        File file = DL4JFileUtils.createTempFile("kuromoji-wordid-", ".bin");
-        file.deleteOnExit();
-
-        OutputStream output = new BufferedOutputStream(new FileOutputStream(file));
-        wordIdsCompiler.write(output);
-        output.close();
-
-        InputStream input = new BufferedInputStream(new FileInputStream(file));
-        WordIdMap wordIds = new WordIdMap(input);
-        input.close();
-
-        return wordIds;
-    }
-
-    @Deprecated
-    public List getBufferEntries() {
-        return bufferEntries;
-    }
-
-    @Deprecated
-    public List getDictionaryEntries() {
-        return dictionaryEntries;
-    }
-
-    @Deprecated
-    public void setDictionaryEntries(List dictionaryEntries) {
-        this.dictionaryEntries = dictionaryEntries;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/UnknownDictionaryCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/UnknownDictionaryCompiler.java
deleted file mode 100644
index c8838d22a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/UnknownDictionaryCompiler.java
+++ /dev/null
@@ -1,144 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.dict.GenericDictionaryEntry;
-import com.atilika.kuromoji.io.IntegerArrayIO;
-import com.atilika.kuromoji.io.StringArrayIO;
-import com.atilika.kuromoji.util.UnknownDictionaryEntryParser;
-
-import java.io.*;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Map;
-
-public class UnknownDictionaryCompiler implements Compiler {
-
-    private OutputStream output;
-
-    protected Map categoryMap;
-
-    protected List dictionaryEntries = new ArrayList<>();
-
-    public UnknownDictionaryCompiler(Map categoryMap, OutputStream output) {
-        this.categoryMap = categoryMap;
-        this.output = output;
-    }
-
-    public void readUnknownDefinition(InputStream input, String encoding) throws IOException {
-        LineNumberReader reader = new LineNumberReader(new InputStreamReader(input, encoding));
-
-        UnknownDictionaryEntryParser parser = new UnknownDictionaryEntryParser();
-        String line;
-
-        while ((line = reader.readLine()) != null) {
-            GenericDictionaryEntry entry = parser.parse(line);
-
-            dictionaryEntries.add(entry);
-        }
-    }
-
-    public int[][] makeCosts() {
-        int[][] costs = new int[dictionaryEntries.size()][];
-
-        for (int i = 0; i < dictionaryEntries.size(); i++) {
-            GenericDictionaryEntry entry = dictionaryEntries.get(i);
-
-            costs[i] = new int[] {entry.getLeftId(), entry.getRightId(), entry.getWordCost()};
-        }
-
-        return costs;
-    }
-
-    public String[][] makeFeatures() {
-        String[][] features = new String[dictionaryEntries.size()][];
-
-        for (int i = 0; i < dictionaryEntries.size(); i++) {
-            GenericDictionaryEntry entry = dictionaryEntries.get(i);
-
-            List tmp = new ArrayList<>();
-            tmp.addAll(entry.getPosFeatures());
-            tmp.addAll(entry.getFeatures());
-
-            String[] f = new String[tmp.size()];
-            features[i] = tmp.toArray(f);
-        }
-
-        return features;
-    }
-
-    public int[][] makeCategoryReferences() {
-        int[][] entries = new int[categoryMap.size()][];
-
-        for (String category : categoryMap.keySet()) {
-            int categoryId = categoryMap.get(category);
-
-            entries[categoryId] = getEntryIndices(category);
-        }
-
-        return entries;
-    }
-
-    public void printFeatures(String[][] features) {
-        for (int i = 0; i < features.length; i++) {
-            System.out.println(i);
-
-            String[] array = features[i];
-
-            for (int j = 0; j < array.length; j++) {
-                System.out.println("\t" + array[j]);
-            }
-
-        }
-    }
-
-    public int[] getEntryIndices(String surface) {
-        List indices = new ArrayList<>();
-
-        for (int i = 0; i < dictionaryEntries.size(); i++) {
-            GenericDictionaryEntry entry = dictionaryEntries.get(i);
-
-            if (entry.getSurface().equals(surface)) {
-                indices.add(i);
-            }
-        }
-
-        return toArray(indices);
-    }
-
-    private int[] toArray(List list) {
-        int[] array = new int[list.size()];
-
-        for (int i = 0; i < list.size(); i++) {
-            array[i] = list.get(i);
-        }
-
-        return array;
-    }
-
-    public List getDictionaryEntries() {
-        return dictionaryEntries;
-    }
-
-    @Override
-    public void compile() throws IOException {
-        IntegerArrayIO.writeArray2D(output, makeCosts());
-        IntegerArrayIO.writeArray2D(output, makeCategoryReferences());
-        StringArrayIO.writeArray2D(output, makeFeatures());
-        output.close();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/WordIdMapCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/WordIdMapCompiler.java
deleted file mode 100644
index 436390a69..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/compile/WordIdMapCompiler.java
+++ /dev/null
@@ -1,128 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.io.IntegerArrayIO;
-
-import java.io.IOException;
-import java.io.OutputStream;
-
-public class WordIdMapCompiler implements Compiler {
-
-    private int[][] wordIds = new int[1][];
-
-    private int[] indices;
-
-    private GrowableIntArray wordIdArray = new GrowableIntArray();
-
-    public void addMapping(int sourceId, int wordId) {
-        if (wordIds.length <= sourceId) {
-            int[][] newArray = new int[sourceId + 1][];
-            System.arraycopy(wordIds, 0, newArray, 0, wordIds.length);
-            wordIds = newArray;
-        }
-
-        // Prepare array -- extend the length of array by one
-        int[] current = wordIds[sourceId];
-        if (current == null) {
-            current = new int[1];
-        } else {
-            int[] newArray = new int[current.length + 1];
-            System.arraycopy(current, 0, newArray, 0, current.length);
-            current = newArray;
-        }
-        wordIds[sourceId] = current;
-
-        int[] targets = wordIds[sourceId];
-        targets[targets.length - 1] = wordId;
-    }
-
-    public void write(OutputStream output) throws IOException {
-        compile();
-        IntegerArrayIO.writeArray(output, indices);
-        IntegerArrayIO.writeArray(output, wordIdArray.getArray());
-    }
-
-    public void compile() {
-        this.indices = new int[wordIds.length];
-        int wordIdIndex = 0;
-
-        for (int i = 0; i < wordIds.length; i++) {
-            int[] inner = wordIds[i];
-
-            if (inner == null) {
-                indices[i] = -1;
-            } else {
-                indices[i] = wordIdIndex;
-                wordIdArray.set(wordIdIndex++, inner.length);
-
-                for (int j = 0; j < inner.length; j++) {
-                    wordIdArray.set(wordIdIndex++, inner[j]);
-                }
-            }
-        }
-    }
-
-    public static class GrowableIntArray {
-
-        private static final float ARRAY_GROWTH_RATE = 1.25f;
-
-        private static final int ARRAY_INITIAL_SIZE = 1024;
-
-        private int maxIndex;
-
-        private int[] array;
-
-        public GrowableIntArray(int size) {
-            this.array = new int[size];
-            this.maxIndex = 0;
-        }
-
-        public GrowableIntArray() {
-            this(ARRAY_INITIAL_SIZE);
-        }
-
-        public int[] getArray() {
-            int length = maxIndex + 1;
-            int[] a = new int[length];
-            System.arraycopy(array, 0, a, 0, length);
-            return a;
-        }
-
-        public void set(int index, int value) {
-            if (index >= array.length) {
-                grow(getNewLength(index));
-            }
-
-            if (index > maxIndex) {
-                maxIndex = index;
-            }
-
-            array[index] = value;
-        }
-
-        private void grow(int newLength) {
-            int[] tmp = new int[newLength];
-            System.arraycopy(array, 0, tmp, 0, maxIndex + 1);
-            array = tmp;
-        }
-
-        private int getNewLength(int index) {
-            return (int) Math.max(index + 1, array.length * ARRAY_GROWTH_RATE);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/CharacterDefinitions.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/CharacterDefinitions.java
deleted file mode 100644
index 206dac0b4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/CharacterDefinitions.java
+++ /dev/null
@@ -1,108 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import com.atilika.kuromoji.io.IntegerArrayIO;
-import com.atilika.kuromoji.io.StringArrayIO;
-import com.atilika.kuromoji.util.KuromojiBinFilesFetcher;
-import com.atilika.kuromoji.util.ResourceResolver;
-
-import java.io.File;
-import java.io.IOException;
-import java.io.InputStream;
-
-public final class CharacterDefinitions {
-
-    //    public static final String CHARACTER_DEFINITIONS_FILENAME = "characterDefinitions.bin";
-    public static final String CHARACTER_DEFINITIONS_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(), "characterDefinitions.bin").getAbsolutePath();
-
-    public static final int INVOKE = 0;
-
-    public static final int GROUP = 1;
-
-    private static final String DEFAULT_CATEGORY = "DEFAULT";
-
-    private static final int LENGTH = 2; // Not used as of now
-
-    private final int[][] categoryDefinitions;
-
-    private final int[][] codepointMappings;
-
-    private final String[] categorySymbols;
-
-    private final int[] defaultCategory;
-
-    public CharacterDefinitions(int[][] categoryDefinitions, int[][] codepointMappings, String[] categorySymbols) {
-        this.categoryDefinitions = categoryDefinitions;
-        this.codepointMappings = codepointMappings;
-        this.categorySymbols = categorySymbols;
-        this.defaultCategory = lookupCategories(new String[] {DEFAULT_CATEGORY});
-    }
-
-    public int[] lookupCategories(char c) {
-        int[] mappings = codepointMappings[c];
-
-        if (mappings == null) {
-            return defaultCategory;
-        }
-
-        return mappings;
-    }
-
-    public int[] lookupDefinition(int category) {
-        return categoryDefinitions[category];
-    }
-
-    public static CharacterDefinitions newInstance(ResourceResolver resolver) throws IOException {
-        InputStream charDefInput = resolver.resolve(CHARACTER_DEFINITIONS_FILENAME);
-
-        int[][] definitions = IntegerArrayIO.readSparseArray2D(charDefInput);
-        int[][] mappings = IntegerArrayIO.readSparseArray2D(charDefInput);
-        String[] symbols = StringArrayIO.readArray(charDefInput);
-
-        CharacterDefinitions characterDefinition = new CharacterDefinitions(definitions, mappings, symbols);
-
-        return characterDefinition;
-    }
-
-    public void setCategories(char c, String[] categoryNames) {
-        codepointMappings[c] = lookupCategories(categoryNames);
-    }
-
-    private int[] lookupCategories(String[] categoryNames) {
-        int[] categories = new int[categoryNames.length];
-
-        for (int i = 0; i < categoryNames.length; i++) {
-            String category = categoryNames[i];
-            int categoryIndex = -1;
-
-            for (int j = 0; j < categorySymbols.length; j++) {
-                if (category.equals(categorySymbols[j])) {
-                    categoryIndex = j;
-                }
-            }
-
-            if (categoryIndex < 0) {
-                throw new RuntimeException("No category '" + category + "' found");
-            }
-
-            categories[i] = categoryIndex;
-        }
-
-        return categories;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/ConnectionCosts.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/ConnectionCosts.java
deleted file mode 100644
index 7b510426c..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/ConnectionCosts.java
+++ /dev/null
@@ -1,60 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import com.atilika.kuromoji.io.ByteBufferIO;
-import com.atilika.kuromoji.util.KuromojiBinFilesFetcher;
-import com.atilika.kuromoji.util.ResourceResolver;
-
-import java.io.*;
-import java.nio.ByteBuffer;
-import java.nio.ShortBuffer;
-
-public class ConnectionCosts {
-
-    //    public static final String CONNECTION_COSTS_FILENAME = "connectionCosts.bin";
-    public static final String CONNECTION_COSTS_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(),
-            "connectionCosts.bin").getAbsolutePath();
-
-    private int size;
-
-    private ShortBuffer costs;
-
-    public ConnectionCosts(int size, ShortBuffer costs) {
-        this.size = size;
-        this.costs = costs;
-    }
-
-    public int get(int forwardId, int backwardId) {
-        return costs.get(backwardId + forwardId * size);
-    }
-
-    public static ConnectionCosts newInstance(ResourceResolver resolver) throws IOException {
-        return read(resolver.resolve(CONNECTION_COSTS_FILENAME));
-    }
-
-    private static ConnectionCosts read(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(new BufferedInputStream(input));
-
-        int size = dataInput.readInt();
-
-        ByteBuffer byteBuffer = ByteBufferIO.read(dataInput);
-        ShortBuffer costs = byteBuffer.asShortBuffer();
-
-        return new ConnectionCosts(size, costs);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/Dictionary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/Dictionary.java
deleted file mode 100644
index 46f790702..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/Dictionary.java
+++ /dev/null
@@ -1,71 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-public interface Dictionary {
-
-    /**
-     * Gets the left id of the specified word
-     *
-     * @param wordId  word id to get left id cost for
-     * @return left id cost
-     */
-    public int getLeftId(int wordId);
-
-    /**
-     * Gets the right id of the specified word
-     *
-     * @param wordId  word id to get right id cost for
-     * @return right id cost
-     */
-    public int getRightId(int wordId);
-
-    /**
-     * Gets the word cost of the specified word
-     *
-     * @param wordId   word id to get word cost for
-     * @return word cost
-     */
-    public int getWordCost(int wordId);
-
-    /**
-     * Gets all features of the specified word id
-     *
-     * @param wordId  word id to get features for
-     * @return  All features as a string
-     */
-    public String getAllFeatures(int wordId);
-
-    /**
-     * Gets all features of the specified word id as a String array
-     *
-     * @param wordId  word id to get features for
-     * @return Array with all features
-     */
-    public String[] getAllFeaturesArray(int wordId);
-
-    /**
-     * Gets one or more specific features of a token
-     * 

-     * This is an expert API
-     *
-     * @param wordId  word id to get features for
-     * @param fields array of feature ids. If this array is empty, all features are returned
-     * @return Array with specified features
-     */
-    public String getFeature(int wordId, int... fields);
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/DictionaryEntryBase.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/DictionaryEntryBase.java
deleted file mode 100644
index c15fa1acc..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/DictionaryEntryBase.java
+++ /dev/null
@@ -1,48 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-public abstract class DictionaryEntryBase {
-
-    protected final String surface;
-    protected final short leftId;
-    protected final short rightId;
-    protected final short wordCost;
-
-    public DictionaryEntryBase(String surface, short leftId, short rightId, short wordCost) {
-        this.surface = surface;
-        this.leftId = leftId;
-        this.rightId = rightId;
-        this.wordCost = wordCost;
-    }
-
-    public String getSurface() {
-        return surface;
-    }
-
-    public short getLeftId() {
-        return leftId;
-    }
-
-    public short getRightId() {
-        return rightId;
-    }
-
-    public short getWordCost() {
-        return wordCost;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/DictionaryField.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/DictionaryField.java
deleted file mode 100644
index fa90add2f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/DictionaryField.java
+++ /dev/null
@@ -1,26 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-public class DictionaryField {
-
-    public static final int SURFACE = 0;
-    public static final int LEFT_ID = 1;
-    public static final int RIGHT_ID = 2;
-    public static final int WORD_COST = 3;
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/GenericDictionaryEntry.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/GenericDictionaryEntry.java
deleted file mode 100644
index 91493e4d0..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/GenericDictionaryEntry.java
+++ /dev/null
@@ -1,84 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import java.io.Serializable;
-import java.util.ArrayList;
-import java.util.List;
-
-public class GenericDictionaryEntry extends DictionaryEntryBase implements Serializable {
-
-    private final List posFeatures;
-    private final List features;
-
-    public GenericDictionaryEntry(Builder builder) {
-        super(builder.surface, builder.leftId, builder.rightId, builder.wordCost);
-        posFeatures = builder.pos;
-        features = builder.features;
-    }
-
-    public List getPosFeatures() {
-        return posFeatures;
-    }
-
-    public List getFeatures() {
-        return features;
-    }
-
-    public static class Builder {
-        private String surface;
-        private short leftId;
-        private short rightId;
-        private short wordCost;
-        private List pos = new ArrayList<>();
-        private List features = new ArrayList<>();
-
-        public Builder surface(String surface) {
-            this.surface = surface;
-            return this;
-        }
-
-        public Builder leftId(short leftId) {
-            this.leftId = leftId;
-            return this;
-        }
-
-        public Builder rightId(short rightId) {
-            this.rightId = rightId;
-            return this;
-        }
-
-        public Builder wordCost(short wordCost) {
-            this.wordCost = wordCost;
-            return this;
-        }
-
-        public Builder pos(List pos) {
-            this.pos = pos;
-            return this;
-        }
-
-        public Builder features(List features) {
-            this.features = features;
-            return this;
-        }
-
-        public GenericDictionaryEntry build() {
-            return new GenericDictionaryEntry(this);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/InsertedDictionary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/InsertedDictionary.java
deleted file mode 100644
index f8aa93b56..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/InsertedDictionary.java
+++ /dev/null
@@ -1,77 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import com.atilika.kuromoji.util.StringUtils;
-
-public class InsertedDictionary implements Dictionary {
-
-    private static final String DEFAULT_FEATURE = "*";
-
-    private static final String FEATURE_SEPARATOR = ",";
-
-    private final String[] featuresArray;
-
-    private final String featuresString;
-
-    public InsertedDictionary(int features) {
-
-        featuresArray = new String[features];
-
-        for (int i = 0; i < features; i++) {
-            featuresArray[i] = DEFAULT_FEATURE;
-        }
-
-        featuresString = StringUtils.join(featuresArray, FEATURE_SEPARATOR);
-    }
-
-    @Override
-    public int getLeftId(int wordId) {
-        return 0;
-    }
-
-    @Override
-    public int getRightId(int wordId) {
-        return 0;
-    }
-
-    @Override
-    public int getWordCost(int wordId) {
-        return 0;
-    }
-
-    @Override
-    public String getAllFeatures(int wordId) {
-        return featuresString;
-    }
-
-    @Override
-    public String[] getAllFeaturesArray(int wordId) {
-        return featuresArray;
-    }
-
-    @Override
-    public String getFeature(int wordId, int... fields) {
-        String[] features = new String[fields.length];
-
-        for (int i = 0; i < features.length; i++) {
-            features[i] = DEFAULT_FEATURE;
-        }
-
-        return StringUtils.join(features, FEATURE_SEPARATOR);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/TokenInfoDictionary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/TokenInfoDictionary.java
deleted file mode 100644
index d04a19b78..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/TokenInfoDictionary.java
+++ /dev/null
@@ -1,170 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import com.atilika.kuromoji.buffer.BufferEntry;
-import com.atilika.kuromoji.buffer.StringValueMapBuffer;
-import com.atilika.kuromoji.buffer.TokenInfoBuffer;
-import com.atilika.kuromoji.buffer.WordIdMap;
-import com.atilika.kuromoji.util.DictionaryEntryLineParser;
-import com.atilika.kuromoji.util.KuromojiBinFilesFetcher;
-import com.atilika.kuromoji.util.ResourceResolver;
-import com.atilika.kuromoji.util.StringUtils;
-
-import java.io.File;
-import java.io.IOException;
-
-public class TokenInfoDictionary implements Dictionary {
-
-    public static final String TOKEN_INFO_DICTIONARY_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(), "tokenInfoDictionary.bin").getAbsolutePath();
-    public static final String FEATURE_MAP_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(),"tokenInfoFeaturesMap.bin").getAbsolutePath();
-    public static final String POS_MAP_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(),"tokenInfoPartOfSpeechMap.bin").getAbsolutePath();
-    public static final String TARGETMAP_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(),"tokenInfoTargetMap.bin").getAbsolutePath();
-
-    private static final int LEFT_ID = 0;
-    private static final int RIGHT_ID = 1;
-    private static final int WORD_COST = 2;
-    private static final int TOKEN_INFO_OFFSET = 3;
-
-    private static final String FEATURE_SEPARATOR = ",";
-
-    protected TokenInfoBuffer tokenInfoBuffer;
-    protected StringValueMapBuffer posValues;
-    protected StringValueMapBuffer stringValues;
-    protected WordIdMap wordIdMap;
-
-    public int[] lookupWordIds(int sourceId) {
-        return wordIdMap.lookUp(sourceId);
-    }
-
-    @Override
-    public int getLeftId(int wordId) {
-        return tokenInfoBuffer.lookupTokenInfo(wordId, LEFT_ID);
-    }
-
-    @Override
-    public int getRightId(int wordId) {
-        return tokenInfoBuffer.lookupTokenInfo(wordId, RIGHT_ID);
-    }
-
-    @Override
-    public int getWordCost(int wordId) {
-        return tokenInfoBuffer.lookupTokenInfo(wordId, WORD_COST);
-    }
-
-    @Override
-    public String[] getAllFeaturesArray(int wordId) {
-        BufferEntry bufferEntry = tokenInfoBuffer.lookupEntry(wordId);
-
-        int posLength = bufferEntry.posInfos.length;
-        int featureLength = bufferEntry.featureInfos.length;
-
-        boolean partOfSpeechAsShorts = false;
-
-        if (posLength == 0) {
-            posLength = bufferEntry.tokenInfos.length - TOKEN_INFO_OFFSET;
-            partOfSpeechAsShorts = true;
-        }
-
-        String[] result = new String[posLength + featureLength];
-
-        if (partOfSpeechAsShorts) {
-            for (int i = 0; i < posLength; i++) {
-                int feature = bufferEntry.tokenInfos[i + TOKEN_INFO_OFFSET];
-                result[i] = posValues.get(feature);
-            }
-        } else {
-            for (int i = 0; i < posLength; i++) {
-                int feature = bufferEntry.posInfos[i] & 0xff;
-                result[i] = posValues.get(feature);
-            }
-        }
-
-        for (int i = 0; i < featureLength; i++) {
-            int feature = bufferEntry.featureInfos[i];
-            String s = stringValues.get(feature);
-            result[i + posLength] = s;
-        }
-
-        return result;
-    }
-
-    @Override
-    public String getAllFeatures(int wordId) {
-        String[] features = getAllFeaturesArray(wordId);
-
-        for (int i = 0; i < features.length; i++) {
-            String feature = features[i];
-            features[i] = DictionaryEntryLineParser.escape(feature);
-        }
-
-        return StringUtils.join(features, FEATURE_SEPARATOR);
-    }
-
-    @Override
-    public String getFeature(int wordId, int... fields) {
-        if (fields.length == 1) {
-            return extractSingleFeature(wordId, fields[0]);
-        }
-
-        return extractMultipleFeatures(wordId, fields);
-    }
-
-    private String extractSingleFeature(int wordId, int field) {
-        int featureId;
-
-        if (tokenInfoBuffer.isPartOfSpeechFeature(field)) {
-            featureId = tokenInfoBuffer.lookupPartOfSpeechFeature(wordId, field);
-            return posValues.get(featureId);
-        }
-
-        featureId = tokenInfoBuffer.lookupFeature(wordId, field);
-        return stringValues.get(featureId);
-    }
-
-    private String extractMultipleFeatures(int wordId, int[] fields) {
-        if (fields.length == 0) {
-            return getAllFeatures(wordId);
-        }
-
-        if (fields.length == 1) {
-            return extractSingleFeature(wordId, fields[0]);
-        }
-
-        String[] allFeatures = getAllFeaturesArray(wordId);
-        String[] features = new String[fields.length];
-
-        for (int i = 0; i < fields.length; i++) {
-            int featureNumber = fields[i];
-            features[i] = DictionaryEntryLineParser.escape(allFeatures[featureNumber]);
-        }
-        return StringUtils.join(features, FEATURE_SEPARATOR);
-    }
-
-    public static TokenInfoDictionary newInstance(ResourceResolver resolver) throws IOException {
-        TokenInfoDictionary dictionary = new TokenInfoDictionary();
-        dictionary.setup(resolver);
-        return dictionary;
-    }
-
-    private void setup(ResourceResolver resolver) throws IOException {
-        tokenInfoBuffer = new TokenInfoBuffer(resolver.resolve(TOKEN_INFO_DICTIONARY_FILENAME));
-        stringValues = new StringValueMapBuffer(resolver.resolve(FEATURE_MAP_FILENAME));
-        posValues = new StringValueMapBuffer(resolver.resolve(POS_MAP_FILENAME));
-        wordIdMap = new WordIdMap(resolver.resolve(TARGETMAP_FILENAME));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/UnknownDictionary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/UnknownDictionary.java
deleted file mode 100644
index 9ecf37dc4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/UnknownDictionary.java
+++ /dev/null
@@ -1,136 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import com.atilika.kuromoji.io.IntegerArrayIO;
-import com.atilika.kuromoji.io.StringArrayIO;
-import com.atilika.kuromoji.util.KuromojiBinFilesFetcher;
-import com.atilika.kuromoji.util.ResourceResolver;
-import com.atilika.kuromoji.util.StringUtils;
-
-import java.io.File;
-import java.io.IOException;
-import java.io.InputStream;
-
-public class UnknownDictionary implements Dictionary {
-
-    //    public static final String UNKNOWN_DICTIONARY_FILENAME = "unknownDictionary.bin";
-    public static final String UNKNOWN_DICTIONARY_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(),"unknownDictionary.bin").getAbsolutePath();
-
-    private static final String DEFAULT_FEATURE = "*";
-
-    private static final String FEATURE_SEPARATOR = ",";
-
-    private final int[][] entries;
-
-    private final int[][] costs;
-
-    private final String[][] features;
-
-    private final int totalFeatures;
-
-    private final CharacterDefinitions characterDefinition;
-
-    public UnknownDictionary(CharacterDefinitions characterDefinition, int[][] entries, int[][] costs,
-                    String[][] features, int totalFeatures) {
-        this.characterDefinition = characterDefinition;
-        this.entries = entries;
-        this.costs = costs;
-        this.features = features;
-        this.totalFeatures = totalFeatures;
-    }
-
-    public UnknownDictionary(CharacterDefinitions characterDefinition, int[][] entries, int[][] costs,
-                    String[][] features) {
-        this(characterDefinition, entries, costs, features, features.length);
-    }
-
-
-    public int[] lookupWordIds(int categoryId) {
-        // Returns an array of word ids
-        return entries[categoryId];
-    }
-
-    @Override
-    public int getLeftId(int wordId) {
-        return costs[wordId][0];
-    }
-
-    @Override
-    public int getRightId(int wordId) {
-        return costs[wordId][1];
-    }
-
-    @Override
-    public int getWordCost(int wordId) {
-        return costs[wordId][2];
-    }
-
-    @Override
-    public String getAllFeatures(int wordId) {
-        return StringUtils.join(getAllFeaturesArray(wordId), FEATURE_SEPARATOR);
-    }
-
-    @Override
-    public String[] getAllFeaturesArray(int wordId) {
-        if (totalFeatures == features.length) {
-            return features[wordId];
-        }
-
-        String[] allFeatures = new String[totalFeatures];
-        String[] basicFeatures = features[wordId];
-
-        System.arraycopy(basicFeatures, 0, allFeatures, 0, basicFeatures.length);
-
-        for (int i = basicFeatures.length; i < totalFeatures; i++) {
-            allFeatures[i] = DEFAULT_FEATURE;
-        }
-
-        return allFeatures;
-    }
-
-    @Override
-    public String getFeature(int wordId, int... fields) {
-        String[] allFeatures = getAllFeaturesArray(wordId);
-        String[] features = new String[fields.length];
-
-        for (int i = 0; i < fields.length; i++) {
-            int featureNumber = fields[i];
-            features[i] = allFeatures[featureNumber];
-        }
-
-        return StringUtils.join(features, FEATURE_SEPARATOR);
-    }
-
-    public CharacterDefinitions getCharacterDefinition() {
-        return characterDefinition;
-    }
-
-    public static UnknownDictionary newInstance(ResourceResolver resolver, CharacterDefinitions characterDefinitions,
-                    int totalFeatures) throws IOException {
-        InputStream unkDefInput = resolver.resolve(UnknownDictionary.UNKNOWN_DICTIONARY_FILENAME);
-
-        int[][] costs = IntegerArrayIO.readArray2D(unkDefInput);
-        int[][] references = IntegerArrayIO.readArray2D(unkDefInput);
-        String[][] features = StringArrayIO.readArray2D(unkDefInput);
-
-        UnknownDictionary unknownDictionary =
-                        new UnknownDictionary(characterDefinitions, references, costs, features, totalFeatures);
-
-        return unknownDictionary;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/UserDictionary.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/UserDictionary.java
deleted file mode 100644
index 671d93195..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/dict/UserDictionary.java
+++ /dev/null
@@ -1,272 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import com.atilika.kuromoji.trie.PatriciaTrie;
-import com.atilika.kuromoji.util.DictionaryEntryLineParser;
-import com.atilika.kuromoji.util.StringUtils;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.nio.charset.StandardCharsets;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-
-public class UserDictionary implements Dictionary {
-
-    private static final String DEFAULT_FEATURE = "*";
-
-    private static final String FEATURE_SEPARATOR = ",";
-
-    private static final int CUSTOM_DICTIONARY_WORD_ID_OFFSET = 100000000;
-
-    private static final int WORD_COST = -100000;
-
-    private static final int LEFT_ID = 5;
-
-    private static final int RIGHT_ID = 5;
-
-    private int wordId = CUSTOM_DICTIONARY_WORD_ID_OFFSET;
-
-    // The word id below is the word id for the source string
-    // surface string => [ word id, 1st token length, 2nd token length, ... , nth token length
-    private PatriciaTrie entries = new PatriciaTrie<>();
-
-    // Maps wordId to reading
-    private Map readings = new HashMap<>();
-
-    // Maps wordId to part-of-speech
-    private Map partOfSpeech = new HashMap<>();
-
-    private final int readingFeature;
-
-    private final int partOfSpeechFeature;
-
-    private final int totalFeatures;
-
-    public UserDictionary(InputStream inputStream, int totalFeatures, int readingFeature, int partOfSpeechFeature)
-                    throws IOException {
-        this.totalFeatures = totalFeatures;
-        this.readingFeature = readingFeature;
-        this.partOfSpeechFeature = partOfSpeechFeature;
-        read(inputStream);
-    }
-
-    /**
-     * Lookup words in text
-     *
-     * @param text  text to look up user dictionary matches for
-     * @return list of UserDictionaryMatch, not null
-     */
-    public List findUserDictionaryMatches(String text) {
-        List matchInfos = new ArrayList<>();
-        int startIndex = 0;
-
-        while (startIndex < text.length()) {
-            int matchLength = 0;
-
-            while (startIndex + matchLength < text.length()
-                            && entries.containsKeyPrefix(text.substring(startIndex, startIndex + matchLength + 1))) {
-                matchLength++;
-            }
-
-            if (matchLength > 0) {
-                String match = text.substring(startIndex, startIndex + matchLength);
-                int[] details = entries.get(match);
-
-                if (details != null) {
-                    matchInfos.addAll(makeMatchDetails(startIndex, details));
-                }
-            }
-
-            startIndex++;
-        }
-
-        return matchInfos;
-    }
-
-    private List makeMatchDetails(int matchStartIndex, int[] details) {
-        List matchDetails = new ArrayList<>(details.length - 1);
-
-        int wordId = details[0];
-        int startIndex = 0;
-
-        for (int i = 1; i < details.length; i++) {
-            int matchLength = details[i];
-
-            matchDetails.add(new UserDictionaryMatch(wordId, matchStartIndex + startIndex, matchLength));
-
-            startIndex += matchLength;
-            wordId++;
-        }
-        return matchDetails;
-    }
-
-    public static class UserDictionaryMatch {
-
-        private final int wordId;
-
-        private final int matchStartIndex;
-
-        private final int matchLength;
-
-        public UserDictionaryMatch(int wordId, int matchStartIndex, int matchLength) {
-            this.wordId = wordId;
-            this.matchStartIndex = matchStartIndex;
-            this.matchLength = matchLength;
-        }
-
-        public int getWordId() {
-            return wordId;
-        }
-
-        public int getMatchStartIndex() {
-            return matchStartIndex;
-        }
-
-        public int getMatchLength() {
-            return matchLength;
-        }
-    }
-
-    @Override
-    public int getLeftId(int wordId) {
-        return LEFT_ID;
-    }
-
-    @Override
-    public int getRightId(int wordId) {
-        return RIGHT_ID;
-    }
-
-    @Override
-    public int getWordCost(int wordId) {
-        return WORD_COST;
-    }
-
-    @Override
-    public String[] getAllFeaturesArray(int wordId) {
-        String[] features = new String[totalFeatures];
-
-        for (int i = 0; i < totalFeatures; i++) {
-            features[i] = getFeature(wordId, i);
-        }
-
-        return features;
-    }
-
-    @Override
-    public String getAllFeatures(int wordId) {
-        return StringUtils.join(getAllFeaturesArray(wordId), FEATURE_SEPARATOR);
-    }
-
-    @Override
-    public String getFeature(int wordId, int... fields) {
-
-        // Is this latter test correct?  There can be duplicate features... -Christian
-        if (fields.length == 0 || fields.length == totalFeatures) {
-            return getAllFeatures(wordId);
-        }
-
-        String[] features = new String[fields.length];
-
-        for (int i = 0; i < fields.length; i++) {
-
-            int featureNumber = fields[i];
-
-            if (featureNumber == readingFeature) {
-                features[i] = readings.get(wordId);
-            } else if (featureNumber == partOfSpeechFeature) {
-                features[i] = partOfSpeech.get(wordId);
-            } else {
-                features[i] = DEFAULT_FEATURE;
-            }
-        }
-
-        return StringUtils.join(features, FEATURE_SEPARATOR);
-    }
-
-    public void read(InputStream input) throws IOException {
-        BufferedReader reader = new BufferedReader(new InputStreamReader(input, StandardCharsets.UTF_8));
-        String line;
-
-        while ((line = reader.readLine()) != null) {
-            // Remove comments and trim leading and trailing whitespace
-            line = line.replaceAll("#.*$", "");
-            line = line.trim();
-
-            // Skip empty lines or comment lines
-            if (line.isEmpty()) {
-                continue;
-            }
-
-            addEntry(line);
-        }
-    }
-
-    public void addEntry(String entry) {
-        String[] values = DictionaryEntryLineParser.parseLine(entry);
-
-        String surface = values[0];
-        String segmentationValue = values[1];
-        String readingsValue = values[2];
-        String partOfSpeech = values[3];
-
-        String[] segmentation;
-        String[] readings;
-
-        if (isCustomSegmentation(surface, segmentationValue)) {
-            segmentation = split(segmentationValue);
-            readings = split(readingsValue);
-        } else {
-            segmentation = new String[] {segmentationValue};
-            readings = new String[] {readingsValue};
-        }
-
-        if (segmentation.length != readings.length) {
-            throw new RuntimeException("User dictionary entry not properly formatted: " + entry);
-        }
-
-        // { wordId, 1st token length, 2nd token length, ... , nth token length
-        int[] wordIdAndLengths = new int[segmentation.length + 1];
-
-        wordIdAndLengths[0] = wordId;
-
-        for (int i = 0; i < segmentation.length; i++) {
-            wordIdAndLengths[i + 1] = segmentation[i].length();
-
-            this.readings.put(wordId, readings[i]);
-            this.partOfSpeech.put(wordId, partOfSpeech);
-
-            wordId++;
-        }
-
-        entries.put(surface, wordIdAndLengths);
-    }
-
-    private boolean isCustomSegmentation(String surface, String segmentation) {
-        return !surface.equals(segmentation);
-    }
-
-    private String[] split(String input) {
-        return input.split("\\s+");
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/ByteBufferIO.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/ByteBufferIO.java
deleted file mode 100644
index 61877b2f1..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/ByteBufferIO.java
+++ /dev/null
@@ -1,50 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.io;
-
-import java.io.*;
-import java.nio.ByteBuffer;
-import java.nio.channels.Channels;
-import java.nio.channels.ReadableByteChannel;
-import java.nio.channels.WritableByteChannel;
-
-public class ByteBufferIO {
-
-    public static ByteBuffer read(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(new BufferedInputStream(input));
-
-        int size = dataInput.readInt();
-        ByteBuffer buffer = ByteBuffer.allocate(size);
-
-        ReadableByteChannel channel = Channels.newChannel(dataInput);
-        channel.read(buffer);
-
-        buffer.rewind();
-        return buffer;
-    }
-
-    public static void write(OutputStream output, ByteBuffer buffer) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(new BufferedOutputStream(output));
-
-        dataOutput.writeInt(buffer.position());
-        buffer.flip();
-
-        WritableByteChannel channel = Channels.newChannel(dataOutput);
-        channel.write(buffer);
-        dataOutput.flush(); // TODO: Do we need this?
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/IntegerArrayIO.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/IntegerArrayIO.java
deleted file mode 100644
index e11c20248..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/IntegerArrayIO.java
+++ /dev/null
@@ -1,119 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.io;
-
-import java.io.*;
-import java.nio.ByteBuffer;
-import java.nio.IntBuffer;
-import java.nio.channels.Channels;
-import java.nio.channels.ReadableByteChannel;
-import java.nio.channels.WritableByteChannel;
-
-public class IntegerArrayIO {
-
-    private static final int INT_BYTES = Integer.SIZE / Byte.SIZE;
-
-    public static int[] readArray(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(input);
-        int length = dataInput.readInt();
-
-        ByteBuffer tmpBuffer = ByteBuffer.allocate(length * INT_BYTES);
-        ReadableByteChannel channel = Channels.newChannel(dataInput);
-        channel.read(tmpBuffer);
-
-        tmpBuffer.rewind();
-        IntBuffer intBuffer = tmpBuffer.asIntBuffer();
-
-        int[] array = new int[length];
-        intBuffer.get(array);
-
-        return array;
-    }
-
-    public static void writeArray(OutputStream output, int[] array) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(output);
-        int length = array.length;
-
-        dataOutput.writeInt(length);
-
-        ByteBuffer tmpBuffer = ByteBuffer.allocate(length * INT_BYTES);
-        IntBuffer intBuffer = tmpBuffer.asIntBuffer();
-
-        tmpBuffer.rewind();
-        intBuffer.put(array);
-
-        WritableByteChannel channel = Channels.newChannel(dataOutput);
-        channel.write(tmpBuffer);
-    }
-
-    public static int[][] readArray2D(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(input);
-        int length = dataInput.readInt();
-
-        int[][] array = new int[length][];
-
-        for (int i = 0; i < length; i++) {
-            array[i] = readArray(dataInput);
-        }
-
-        return array;
-    }
-
-    public static void writeArray2D(OutputStream output, int[][] array) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(output);
-        int length = array.length;
-
-        dataOutput.writeInt(length);
-
-        for (int i = 0; i < length; i++) {
-            writeArray(dataOutput, array[i]);
-        }
-    }
-
-    public static int[][] readSparseArray2D(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(input);
-        int length = dataInput.readInt();
-
-        int[][] array = new int[length][];
-
-        int index;
-
-        while ((index = dataInput.readInt()) >= 0) {
-            array[index] = readArray(dataInput);
-        }
-
-        return array;
-    }
-
-    public static void writeSparseArray2D(OutputStream output, int[][] array) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(output);
-        int length = array.length;
-
-        dataOutput.writeInt(length);
-
-        for (int i = 0; i < length; i++) {
-            int[] inner = array[i];
-
-            if (inner != null) {
-                dataOutput.writeInt(i);
-                writeArray(dataOutput, inner);
-            }
-        }
-        // This negative index serves as an end-of-array marker
-        dataOutput.writeInt(-1);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/StringArrayIO.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/StringArrayIO.java
deleted file mode 100644
index e66aa4004..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/io/StringArrayIO.java
+++ /dev/null
@@ -1,103 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.io;
-
-import java.io.*;
-
-public class StringArrayIO {
-
-    public static String[] readArray(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(input);
-        int length = dataInput.readInt();
-
-        String[] array = new String[length];
-
-        for (int i = 0; i < length; i++) {
-            array[i] = dataInput.readUTF();
-        }
-
-        return array;
-    }
-
-    public static void writeArray(OutputStream output, String[] array) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(output);
-        int length = array.length;
-
-        dataOutput.writeInt(length);
-
-        for (int i = 0; i < array.length; i++) {
-            dataOutput.writeUTF(array[i]);
-        }
-    }
-
-    public static String[][] readArray2D(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(input);
-        int length = dataInput.readInt();
-
-        String[][] array = new String[length][];
-
-        for (int i = 0; i < length; i++) {
-            array[i] = readArray(dataInput);
-        }
-
-        return array;
-    }
-
-    public static void writeArray2D(OutputStream output, String[][] array) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(output);
-        int length = array.length;
-
-        dataOutput.writeInt(length);
-
-        for (int i = 0; i < length; i++) {
-            writeArray(dataOutput, array[i]);
-        }
-    }
-
-    public static String[][] readSparseArray2D(InputStream input) throws IOException {
-        DataInputStream dataInput = new DataInputStream(input);
-        int length = dataInput.readInt();
-
-        String[][] array = new String[length][];
-
-        int index;
-
-        while ((index = dataInput.readInt()) >= 0) {
-            array[index] = readArray(dataInput);
-        }
-
-        return array;
-    }
-
-    public static void writeSparseArray2D(OutputStream output, String[][] array) throws IOException {
-        DataOutputStream dataOutput = new DataOutputStream(output);
-        int length = array.length;
-
-        dataOutput.writeInt(length);
-
-        for (int i = 0; i < length; i++) {
-            String[] inner = array[i];
-
-            if (inner != null) {
-                dataOutput.writeInt(i);
-                writeArray(dataOutput, inner);
-            }
-        }
-        // This negative index serves as an end-of-array marker
-        dataOutput.writeInt(-1);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/Token.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/Token.java
deleted file mode 100644
index c433cff8e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/Token.java
+++ /dev/null
@@ -1,117 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import com.atilika.kuromoji.TokenBase;
-import com.atilika.kuromoji.dict.Dictionary;
-import com.atilika.kuromoji.ipadic.compile.DictionaryEntry;
-import com.atilika.kuromoji.viterbi.ViterbiNode;
-
-/**
- * IPADIC token produced by the IPADIC tokenizer with various morphological features
- */
-public class Token extends TokenBase {
-
-    public Token(int wordId, String surface, ViterbiNode.Type type, int position, Dictionary dictionary) {
-        super(wordId, surface, type, position, dictionary);
-    }
-
-    /**
-     * Gets the 1st level part-of-speech tag for this token (品詞細分類1)
-     *
-     * @return 1st level part-of-speech tag, not null
-     */
-    public String getPartOfSpeechLevel1() {
-        return this.getFeature(DictionaryEntry.PART_OF_SPEECH_LEVEL_1);
-    }
-
-    /**
-     * Gets the 2nd level part-of-speech tag for this token (品詞細分類2)
-     *
-     * @return 2nd level part-of-speech tag, not null
-     */
-    public String getPartOfSpeechLevel2() {
-        return this.getFeature(DictionaryEntry.PART_OF_SPEECH_LEVEL_2);
-    }
-
-    /**
-     * Gets the 3rd level part-of-speech tag for this token (品詞細分類3)
-     *
-     * @return 3rd level part-of-speech tag, not null
-     */
-    public String getPartOfSpeechLevel3() {
-        return this.getFeature(DictionaryEntry.PART_OF_SPEECH_LEVEL_3);
-    }
-
-    /**
-     * Gets the 4th level part-of-speech tag for this token (品詞細分類4)
-     *
-     * @return 4th level part-of-speech tag, not null
-     */
-    public String getPartOfSpeechLevel4() {
-        return this.getFeature(DictionaryEntry.PART_OF_SPEECH_LEVEL_4);
-    }
-
-    /**
-     * Gets the conjugation type for this token (活用型), if applicable
-     * 

-     * If this token does not have a conjugation type, return *
-     *
-     * @return conjugation type, not null
-     */
-    public String getConjugationType() {
-        return this.getFeature(DictionaryEntry.CONJUGATION_TYPE);
-    }
-
-    /**
-     * Gets the conjugation form for this token (活用形), if applicable
-     * 

-     * If this token does not have a conjugation form, return *
-     *
-     * @return conjugation form, not null
-     */
-    public String getConjugationForm() {
-        return this.getFeature(DictionaryEntry.CONJUGATION_FORM);
-    }
-
-    /**
-     * Gets the base form (also called dictionary form) for this token (基本形)
-     *
-     * @return base form, not null
-     */
-    public String getBaseForm() {
-        return this.getFeature(DictionaryEntry.BASE_FORM);
-    }
-
-    /**
-     * Gets the reading for this token (読み) in katakana script
-     *
-     * @return reading, not null
-     */
-    public String getReading() {
-        return this.getFeature(DictionaryEntry.READING);
-    }
-
-    /**
-     * Gets the pronunciation for this token (発音)
-     *
-     * @return pronunciation, not null
-     */
-    public String getPronunciation() {
-        return this.getFeature(DictionaryEntry.PRONUNCIATION);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/Tokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/Tokenizer.java
deleted file mode 100644
index f3476069b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/Tokenizer.java
+++ /dev/null
@@ -1,226 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import com.atilika.kuromoji.TokenizerBase;
-import com.atilika.kuromoji.dict.*;
-import com.atilika.kuromoji.ipadic.compile.DictionaryEntry;
-import com.atilika.kuromoji.trie.DoubleArrayTrie;
-import com.atilika.kuromoji.util.FileResourceResolver;
-import com.atilika.kuromoji.viterbi.TokenFactory;
-import com.atilika.kuromoji.viterbi.ViterbiNode;
-
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * A tokenizer based on the IPADIC dictionary
- * 

- * See {@link Token} for details on the morphological features produced by this tokenizer
- * 

- * The following code example demonstrates how to use the Kuromoji tokenizer:
- * 
{@code
- * package com.atilika.kuromoji.example;
- * import com.atilika.kuromoji.ipadic.Token;
- * import com.atilika.kuromoji.ipadic.Tokenizer;
- * import java.util.List;
- *
- * public class KuromojiExample {
- *     public static void main(String[] args) {
- *         Tokenizer tokenizer = new Tokenizer() ;
- *         List tokens = tokenizer.tokenize("お寿司が食べたい。");
- *         for (Token token : tokens) {
- *             System.out.println(token.getSurface() + "\t" + token.getAllFeatures());
- *         }
- *     }
- * }
- * }
- * 

- */
-public class Tokenizer extends TokenizerBase {
-
-    /**
-     * Construct a default tokenizer
-     */
-    public Tokenizer() {
-        this(new Builder());
-    }
-
-    /**
-     * Construct a customized tokenizer
-     * 

-     * See {@see com.atilika.kuromoji.ipadic.Tokenizer#Builder}
-     */
-    private Tokenizer(Builder builder) {
-        configure(builder);
-    }
-
-    /**
-     * Tokenizes the provided text and returns a list of tokens with various feature information
-     * 

-     * This method is thread safe
-     *
-     * @param text  text to tokenize
-     * @return list of Token, not null
-     */
-    @Override
-    public List tokenize(String text) {
-        return createTokenList(text);
-    }
-
-    /**
-     * Builder class for creating a customized tokenizer instance
-     */
-    public static class Builder extends TokenizerBase.Builder {
-
-        private static final int DEFAULT_KANJI_LENGTH_THRESHOLD = 2;
-        private static final int DEFAULT_OTHER_LENGTH_THRESHOLD = 7;
-        private static final int DEFAULT_KANJI_PENALTY = 3000;
-        private static final int DEFAULT_OTHER_PENALTY = 1700;
-
-        private int kanjiPenaltyLengthTreshold = DEFAULT_KANJI_LENGTH_THRESHOLD;
-        private int kanjiPenalty = DEFAULT_KANJI_PENALTY;
-        private int otherPenaltyLengthThreshold = DEFAULT_OTHER_LENGTH_THRESHOLD;
-        private int otherPenalty = DEFAULT_OTHER_PENALTY;
-
-        private boolean nakaguroSplit = false;
-
-        /**
-         * Creates a default builder
-         */
-        public Builder() {
-            totalFeatures = DictionaryEntry.TOTAL_FEATURES;
-            readingFeature = DictionaryEntry.READING_FEATURE;
-            partOfSpeechFeature = DictionaryEntry.PART_OF_SPEECH_FEATURE;
-
-            tokenFactory = new TokenFactory() {
-                @Override
-                public Token createToken(int wordId, String surface, ViterbiNode.Type type, int position,
-                                Dictionary dictionary) {
-                    return new Token(wordId, surface, type, position, dictionary);
-                }
-            };
-        }
-
-        /**
-         * Sets the tokenization mode
-         * 

-         * The tokenization mode defines how Available modes are as follows:
-         * 
    
-         * 
  • {@link com.atilika.kuromoji.TokenizerBase.Mode#NORMAL} - The default mode
-         * 
  • {@link com.atilika.kuromoji.TokenizerBase.Mode#SEARCH} - Uses a heuristic to segment compound nouns (複合名詞) into their parts
-         * 
  • {@link com.atilika.kuromoji.TokenizerBase.Mode#EXTENDED} - Same as SEARCH, but emits unigram tokens for unknown terms
-         * 

-         * See {@link #kanjiPenalty} and {@link #otherPenalty} for how to adjust costs used by SEARCH and EXTENDED mode
-         *
-         * @param mode  tokenization mode
-         * @return this builder, not null
-         */
-        public Builder mode(Mode mode) {
-            this.mode = mode;
-            return this;
-        }
-
-        /**
-         * Sets a custom kanji penalty
-         * 

-         * This is an expert feature used with {@link com.atilika.kuromoji.TokenizerBase.Mode#SEARCH} and {@link com.atilika.kuromoji.TokenizerBase.Mode#EXTENDED} modes that sets a length threshold and an additional costs used when running the Viterbi search.
-         * The additional cost is applicable for kanji candidate tokens longer than the length threshold specified.
-         * 

-         * This is an expert feature and you usually would not need to change this.
-         *
-         * @param lengthThreshold  length threshold applicable for this penalty
-         * @param penalty  cost added to Viterbi nodes for long kanji candidate tokens
-         * @return this builder, not null
-         */
-        public Builder kanjiPenalty(int lengthThreshold, int penalty) {
-            this.kanjiPenaltyLengthTreshold = lengthThreshold;
-            this.kanjiPenalty = penalty;
-            return this;
-        }
-
-        /**
-         * Sets a custom non-kanji penalty
-         * 

-         * This is an expert feature used with {@link com.atilika.kuromoji.TokenizerBase.Mode#SEARCH} and {@link com.atilika.kuromoji.TokenizerBase.Mode#EXTENDED} modes that sets a length threshold and an additional costs used when running the Viterbi search.
-         * The additional cost is applicable for non-kanji candidate tokens longer than the length threshold specified.
-         * 

-         * This is an expert feature and you usually would not need to change this.
-         *
-         * @param lengthThreshold  length threshold applicable for this penalty
-         * @param penalty  cost added to Viterbi nodes for long non-kanji candidate tokens
-         * @return this builder, not null
-         */
-        public Builder otherPenalty(int lengthThreshold, int penalty) {
-            this.otherPenaltyLengthThreshold = lengthThreshold;
-            this.otherPenalty = penalty;
-            return this;
-        }
-
-        /**
-         * Predictate that splits unknown words on the middle dot character (U+30FB KATAKANA MIDDLE DOT)
-         * 

-         * This feature is off by default.
-         * This is an expert feature sometimes used with {@link com.atilika.kuromoji.TokenizerBase.Mode#SEARCH} and {@link com.atilika.kuromoji.TokenizerBase.Mode#EXTENDED} mode.
-         *
-         * @param split  predicate to indicate split on middle dot
-         * @return this builder, not null
-         */
-        public Builder isSplitOnNakaguro(boolean split) {
-            this.nakaguroSplit = split;
-            return this;
-        }
-
-        /**
-         * Creates the custom tokenizer instance
-         *
-         * @return tokenizer instance, not null
-         */
-        @Override
-        public Tokenizer build() {
-            return new Tokenizer(this);
-        }
-
-        @Override
-        protected void loadDictionaries() {
-            penalties = new ArrayList<>();
-            penalties.add(kanjiPenaltyLengthTreshold);
-            penalties.add(kanjiPenalty);
-            penalties.add(otherPenaltyLengthThreshold);
-            penalties.add(otherPenalty);
-
-            //            resolver = new SimpleResourceResolver(this.getClass());
-            resolver = new FileResourceResolver();
-
-            try {
-                doubleArrayTrie = DoubleArrayTrie.newInstance(resolver);
-                connectionCosts = ConnectionCosts.newInstance(resolver);
-                tokenInfoDictionary = TokenInfoDictionary.newInstance(resolver);
-                characterDefinitions = CharacterDefinitions.newInstance(resolver);
-
-                if (nakaguroSplit) {
-                    characterDefinitions.setCategories('・', new String[] {"SYMBOL"});
-                }
-
-                unknownDictionary = UnknownDictionary.newInstance(resolver, characterDefinitions, totalFeatures);
-                insertedDictionary = new InsertedDictionary(totalFeatures);
-            } catch (Exception ouch) {
-                throw new RuntimeException("Could not load dictionaries.", ouch);
-            }
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/DictionaryCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/DictionaryCompiler.java
deleted file mode 100644
index 8ba7467ab..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/DictionaryCompiler.java
+++ /dev/null
@@ -1,35 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic.compile;
-
-import com.atilika.kuromoji.compile.DictionaryCompilerBase;
-import com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase;
-
-import java.io.IOException;
-
-public class DictionaryCompiler extends DictionaryCompilerBase {
-
-    @Override
-    protected TokenInfoDictionaryCompilerBase getTokenInfoDictionaryCompiler(String encoding) {
-        return new TokenInfoDictionaryCompiler(encoding);
-    }
-
-    public static void main(String[] args) throws IOException {
-        DictionaryCompiler dictionaryBuilder = new DictionaryCompiler();
-        dictionaryBuilder.build(args);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/DictionaryEntry.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/DictionaryEntry.java
deleted file mode 100644
index 17ecb087d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/DictionaryEntry.java
+++ /dev/null
@@ -1,102 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic.compile;
-
-import com.atilika.kuromoji.dict.DictionaryEntryBase;
-
-import static com.atilika.kuromoji.dict.DictionaryField.*;
-
-public class DictionaryEntry extends DictionaryEntryBase {
-    public static final int PART_OF_SPEECH_LEVEL_1 = 4;
-    public static final int PART_OF_SPEECH_LEVEL_2 = 5;
-    public static final int PART_OF_SPEECH_LEVEL_3 = 6;
-    public static final int PART_OF_SPEECH_LEVEL_4 = 7;
-    public static final int CONJUGATION_TYPE = 8;
-    public static final int CONJUGATION_FORM = 9;
-    public static final int BASE_FORM = 10;
-    public static final int READING = 11;
-    public static final int PRONUNCIATION = 12;
-
-    public static final int TOTAL_FEATURES = 9;
-    public static final int READING_FEATURE = 7;
-    public static final int PART_OF_SPEECH_FEATURE = 0;
-
-    private final String posLevel1;
-    private final String posLevel2;
-    private final String posLevel3;
-    private final String posLevel4;
-
-    private final String conjugatedForm;
-    private final String conjugationType;
-
-    private final String baseForm;
-    private final String reading;
-    private final String pronunciation;
-
-    public DictionaryEntry(String[] fields) {
-        super(fields[SURFACE], Short.parseShort(fields[LEFT_ID]), Short.parseShort(fields[RIGHT_ID]),
-                        Short.parseShort(fields[WORD_COST]));
-
-        posLevel1 = fields[PART_OF_SPEECH_LEVEL_1];
-        posLevel2 = fields[PART_OF_SPEECH_LEVEL_2];
-        posLevel3 = fields[PART_OF_SPEECH_LEVEL_3];
-        posLevel4 = fields[PART_OF_SPEECH_LEVEL_4];
-
-        conjugationType = fields[CONJUGATION_TYPE];
-        conjugatedForm = fields[CONJUGATION_FORM];
-
-        baseForm = fields[BASE_FORM];
-        reading = fields[READING];
-        pronunciation = fields[PRONUNCIATION];
-    }
-
-    public String getPartOfSpeechLevel1() {
-        return posLevel1;
-    }
-
-    public String getPartOfSpeechLevel2() {
-        return posLevel2;
-    }
-
-    public String getPartOfSpeechLevel3() {
-        return posLevel3;
-    }
-
-    public String getPartOfSpeechLevel4() {
-        return posLevel4;
-    }
-
-    public String getConjugatedForm() {
-        return conjugatedForm;
-    }
-
-    public String getConjugationType() {
-        return conjugationType;
-    }
-
-    public String getBaseForm() {
-        return baseForm;
-    }
-
-    public String getReading() {
-        return reading;
-    }
-
-    public String getPronunciation() {
-        return pronunciation;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/TokenInfoDictionaryCompiler.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/TokenInfoDictionaryCompiler.java
deleted file mode 100644
index 75c031ce7..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/compile/TokenInfoDictionaryCompiler.java
+++ /dev/null
@@ -1,71 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic.compile;
-
-import com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase;
-import com.atilika.kuromoji.dict.GenericDictionaryEntry;
-import com.atilika.kuromoji.util.DictionaryEntryLineParser;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class TokenInfoDictionaryCompiler extends TokenInfoDictionaryCompilerBase {
-
-    public TokenInfoDictionaryCompiler(String encoding) {
-        super(encoding);
-    }
-
-    @Override
-    protected DictionaryEntry parse(String line) {
-        String[] fields = DictionaryEntryLineParser.parseLine(line);
-        DictionaryEntry entry = new DictionaryEntry(fields);
-        return entry;
-    }
-
-    @Override
-    protected GenericDictionaryEntry generateGenericDictionaryEntry(DictionaryEntry entry) {
-        List pos = extractPosFeatures(entry);
-        List features = extractOtherFeatures(entry);
-
-        return new GenericDictionaryEntry.Builder().surface(entry.getSurface()).leftId(entry.getLeftId())
-                        .rightId(entry.getRightId()).wordCost(entry.getWordCost()).pos(pos).features(features).build();
-    }
-
-    public List extractPosFeatures(DictionaryEntry entry) {
-        List posFeatures = new ArrayList<>();
-
-        posFeatures.add(entry.getPartOfSpeechLevel1());
-        posFeatures.add(entry.getPartOfSpeechLevel2());
-        posFeatures.add(entry.getPartOfSpeechLevel3());
-        posFeatures.add(entry.getPartOfSpeechLevel4());
-
-        posFeatures.add(entry.getConjugationType());
-        posFeatures.add(entry.getConjugatedForm());
-
-        return posFeatures;
-    }
-
-    public List extractOtherFeatures(DictionaryEntry entry) {
-        List otherFeatures = new ArrayList<>();
-
-        otherFeatures.add(entry.getBaseForm());
-        otherFeatures.add(entry.getReading());
-        otherFeatures.add(entry.getPronunciation());
-
-        return otherFeatures;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/package-info.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/package-info.java
deleted file mode 100644
index af29d5434..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/ipadic/package-info.java
+++ /dev/null
@@ -1,21 +0,0 @@
-/*-*
- * A Japanese morphological analyzer based on the IPADIC dictionary.
- * 

- * This dictionary provides a basic set of features and suits many tasks.
- * If you are not sure about which dictionary to use, this one is a good starting point.
- * 

- * The following token features are supported:
- * 
    
- * 
  • surface form (表層形)
- * 
  • part of speech level 1 (品詞細分類1)
- * 
  • part of speech level 2 (品詞細分類2)
- * 
  • part of speech level 3 (品詞細分類3)
- * 
  • part of speech level 4 (品詞細分類4)
- * 
  • conjugation type (活用型)
- * 
  • conjugation form (活用形)
- * 
  • base form (基本形)
- * 
  • reading (読み)
- * 
  • pronunciation (発音)
- * 

- */
-package com.atilika.kuromoji.ipadic;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/DoubleArrayTrie.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/DoubleArrayTrie.java
deleted file mode 100644
index 8a7b5e248..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/DoubleArrayTrie.java
+++ /dev/null
@@ -1,369 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import com.atilika.kuromoji.compile.ProgressLog;
-import com.atilika.kuromoji.util.KuromojiBinFilesFetcher;
-import com.atilika.kuromoji.util.ResourceResolver;
-import org.apache.commons.io.FilenameUtils;
-
-import java.io.*;
-import java.nio.ByteBuffer;
-import java.nio.CharBuffer;
-import java.nio.IntBuffer;
-import java.nio.channels.Channels;
-import java.nio.channels.ReadableByteChannel;
-import java.nio.channels.WritableByteChannel;
-import java.util.List;
-
-public class DoubleArrayTrie {
-
-    //    public static final String DOUBLE_ARRAY_TRIE_FILENAME = "doubleArrayTrie.bin";
-    public static final String DOUBLE_ARRAY_TRIE_FILENAME = new File(KuromojiBinFilesFetcher.getKuromojiRoot(), "doubleArrayTrie.bin").getAbsolutePath();
-    public static final char TERMINATING_CHARACTER = '\u0001';
-
-    private static final int BASE_CHECK_INITIAL_SIZE = 2800000;
-    private static final int TAIL_INITIAL_SIZE = 200000;
-    private static final int TAIL_OFFSET = 100000000;
-
-    private static float BUFFER_GROWTH_PERCENTAGE = 0.25f;
-
-    private IntBuffer baseBuffer;
-    private IntBuffer checkBuffer;
-    private CharBuffer tailBuffer;
-
-    private int tailIndex = TAIL_OFFSET;
-    private int maxBaseCheckIndex = 0;
-
-    private boolean compact;
-
-    public DoubleArrayTrie() {
-        this(false);
-    }
-
-    public DoubleArrayTrie(boolean compactTries) {
-        compact = compactTries;
-    }
-
-    public void write(OutputStream output) throws IOException {
-
-        baseBuffer.rewind();
-        checkBuffer.rewind();
-        tailBuffer.rewind();
-
-        int baseCheckSize = Math.min(maxBaseCheckIndex + 64, baseBuffer.capacity());
-        int tailSize = Math.min(tailIndex - TAIL_OFFSET + 64, tailBuffer.capacity());
-
-        DataOutputStream dataOutput = new DataOutputStream(new BufferedOutputStream(output));
-
-        dataOutput.writeBoolean(compact);
-        dataOutput.writeInt(baseCheckSize);
-        dataOutput.writeInt(tailSize);
-
-        WritableByteChannel channel = Channels.newChannel(dataOutput);
-
-        ByteBuffer tmpBuffer = ByteBuffer.allocate(baseCheckSize * 4);
-        IntBuffer tmpIntBuffer = tmpBuffer.asIntBuffer();
-        tmpIntBuffer.put(baseBuffer.array(), 0, baseCheckSize);
-        tmpBuffer.rewind();
-        channel.write(tmpBuffer);
-
-        tmpBuffer = ByteBuffer.allocate(baseCheckSize * 4);
-        tmpIntBuffer = tmpBuffer.asIntBuffer();
-        tmpIntBuffer.put(checkBuffer.array(), 0, baseCheckSize);
-        tmpBuffer.rewind();
-        channel.write(tmpBuffer);
-
-        tmpBuffer = ByteBuffer.allocate(tailSize * 2);
-        CharBuffer tmpCharBuffer = tmpBuffer.asCharBuffer();
-        tmpCharBuffer.put(tailBuffer.array(), 0, tailSize);
-        tmpBuffer.rewind();
-        channel.write(tmpBuffer);
-
-        dataOutput.flush();
-    }
-
-    public static DoubleArrayTrie newInstance(ResourceResolver resolver) throws IOException {
-        return read(resolver.resolve(DOUBLE_ARRAY_TRIE_FILENAME));
-    }
-
-    /**
-     * Load Stored data
-     *
-     * @param input  input stream to read the double array trie from
-     * @return double array trie, not null
-     * @throws IOException if an IO error occured during reading the double array trie
-     */
-    public static DoubleArrayTrie read(InputStream input) throws IOException {
-        DoubleArrayTrie trie = new DoubleArrayTrie();
-        DataInputStream dis = new DataInputStream(new BufferedInputStream(input));
-
-        trie.compact = dis.readBoolean();
-        int baseCheckSize = dis.readInt(); // Read size of baseArr and checkArr
-        int tailSize = dis.readInt(); // Read size of tailArr
-        ReadableByteChannel channel = Channels.newChannel(dis);
-
-        ByteBuffer tmpBaseBuffer = ByteBuffer.allocate(baseCheckSize * 4);
-        channel.read(tmpBaseBuffer);
-        tmpBaseBuffer.rewind();
-        trie.baseBuffer = tmpBaseBuffer.asIntBuffer();
-
-        ByteBuffer tmpCheckBuffer = ByteBuffer.allocate(baseCheckSize * 4);
-        channel.read(tmpCheckBuffer);
-        tmpCheckBuffer.rewind();
-        trie.checkBuffer = tmpCheckBuffer.asIntBuffer();
-
-        ByteBuffer tmpTailBuffer = ByteBuffer.allocate(tailSize * 2);
-        channel.read(tmpTailBuffer);
-        tmpTailBuffer.rewind();
-        trie.tailBuffer = tmpTailBuffer.asCharBuffer();
-
-        input.close();
-        return trie;
-    }
-
-    /**
-     * Construct double array trie which is equivalent to input trie
-     *
-     * @param trie  normal trie, which contains all dictionary words
-     */
-    public void build(Trie trie) {
-        ProgressLog.begin("building " + (compact ? "compact" : "sparse") + " trie");
-        baseBuffer = IntBuffer.allocate(BASE_CHECK_INITIAL_SIZE);
-        baseBuffer.put(0, 1);
-        checkBuffer = IntBuffer.allocate(BASE_CHECK_INITIAL_SIZE);
-        tailBuffer = CharBuffer.allocate(TAIL_INITIAL_SIZE);
-        add(-1, 0, trie.getRoot());
-        reportUtilizationRate();
-        ProgressLog.end();
-    }
-
-    private void reportUtilizationRate() {
-        int zeros = 0;
-        for (int i = 0; i < maxBaseCheckIndex; i++) {
-            if (baseBuffer.get(i) == 0) {
-                zeros++;
-            }
-        }
-        ProgressLog.println("trie memory utilization ratio (" + (!compact ? "not " : "") + "compacted): "
-                        + ((maxBaseCheckIndex - zeros) / (float) maxBaseCheckIndex));
-    }
-
-    /**
-     * Recursively add Nodes(characters) to double array trie
-     *
-     * @param previous
-     * @param index
-     * @param node
-     */
-    private void add(int previous, int index, Trie.Node node) {
-
-        if (!node.getChildren().isEmpty() && node.hasSinglePath()
-                        && node.getChildren().get(0).getKey() != TERMINATING_CHARACTER) { // If node has only one path, put the rest in tail array
-            baseBuffer.put(index, tailIndex); // current index of tail array
-            addToTail(node.getChildren().get(0));
-            checkBuffer.put(index, previous);
-            return; // No more child to process
-        }
-
-        int startIndex = (compact ? 0 : index);
-        int base = findBase(startIndex, node.getChildren());
-
-        baseBuffer.put(index, base);
-
-        if (previous >= 0) {
-            checkBuffer.put(index, previous); // Set check value
-        }
-
-        for (Trie.Node child : node.getChildren()) { // For each child to double array trie
-            if (compact) {
-                add(index, base + child.getKey(), child);
-            } else {
-                add(index, index + base + child.getKey(), child);
-            }
-        }
-
-    }
-
-    /**
-     * Match input keyword.
-     *
-     * @param key key to match
-     * @return index value of last character in baseBuffer(double array id) if it is complete match. Negative value if it doesn't match. 0 if it is prefix match.
-     */
-    public int lookup(String key) {
-        return lookup(key, 0, 0);
-    }
-
-    public int lookup(String key, int index, int j) {
-        int base = 1;
-        if (index != 0) {
-            base = baseBuffer.get(index);
-        }
-        int keyLength = key.length();
-        for (int i = j; i < keyLength; i++) {
-            int previous = index;
-            if (compact) {
-                index = base + key.charAt(i);
-            } else {
-                index = index + base + key.charAt(i);
-            }
-            if (index >= baseBuffer.limit()) { // Too long
-                return -1;
-            }
-
-            base = baseBuffer.get(index);
-
-            if (base == 0) { // Didn't find match
-                return -1;
-            }
-
-            if (checkBuffer.get(index) != previous) { // check doesn't match
-                return -1;
-            }
-
-            if (base >= TAIL_OFFSET) { // If base is bigger than TAIL_OFFSET, start processing "tail"
-                return matchTail(base, index, key.substring(i + 1));
-            }
-
-        }
-
-        // If we reach at the end of input keyword, check if it is complete match by looking for following terminating character
-        int endIndex;
-        if (compact) {
-            endIndex = base + TERMINATING_CHARACTER;
-        } else {
-            endIndex = index + base + TERMINATING_CHARACTER;
-        }
-
-        return checkBuffer.get(endIndex) == index ? index : 0;
-    }
-
-    /**
-     * Check match in tail array
-     *
-     * @param base
-     * @param index
-     * @param key
-     * @return index if it is complete match. 0 if it is prefix match. negative value if it doesn't match
-     */
-    private int matchTail(int base, int index, String key) {
-        int positionInTailArr = base - TAIL_OFFSET;
-
-        int keyLength = key.length();
-        for (int i = 0; i < keyLength; i++) {
-            if (key.charAt(i) != tailBuffer.get(positionInTailArr + i)) {
-                return -1;
-            }
-        }
-        return tailBuffer.get(positionInTailArr + keyLength) == TERMINATING_CHARACTER ? index : 0;
-    }
-
-    /**
-     * Find base value for current node, which contains input nodes. They are children of current node.
-     * Set default base value , which is one, at the index of each input node.
-     *
-     * @param index
-     * @param nodes
-     * @return base value for current node
-     */
-    private int findBase(int index, List nodes) {
-        int base = baseBuffer.get(index);
-        if (base < 0) {
-            return base;
-        }
-
-        while (true) {
-            boolean collision = false; // already taken?
-            for (Trie.Node node : nodes) {
-                int nextIndex = index + base + node.getKey();
-                maxBaseCheckIndex = Math.max(maxBaseCheckIndex, nextIndex);
-
-                if (baseBuffer.capacity() <= nextIndex) {
-                    extendBuffers(nextIndex);
-                }
-
-                if (baseBuffer.get(nextIndex) != 0) { // already taken
-                    base++; // check next base value
-                    collision = true;
-                    break;
-                }
-            }
-
-            if (!collision) {
-                break; // if there is no collision, found proper base value. Break the while loop.
-            }
-
-        }
-
-        for (Trie.Node node : nodes) {
-            baseBuffer.put(index + base + node.getKey(), node.getKey() == TERMINATING_CHARACTER ? -1 : 1); // Set -1 if key is terminating character. Set default base value 1 if not.
-        }
-
-        return base;
-    }
-
-    private void extendBuffers(int nextIndex) {
-        int newLength = nextIndex + (int) (baseBuffer.capacity() * BUFFER_GROWTH_PERCENTAGE);
-        ProgressLog.println("Buffers extended to " + baseBuffer.capacity() + " entries");
-
-        IntBuffer newBaseBuffer = IntBuffer.allocate(newLength);
-        baseBuffer.rewind();
-        newBaseBuffer.put(baseBuffer);
-        baseBuffer = newBaseBuffer;
-
-        IntBuffer newCheckBuffer = IntBuffer.allocate(newLength);//ByteBuffer.allocate(newLength).asIntBuffer();
-        checkBuffer.rewind();
-        newCheckBuffer.put(checkBuffer);
-        checkBuffer = newCheckBuffer;
-    }
-
-    /**
-     * Add characters(nodes) to tail array
-     *
-     * @param node
-     */
-    private void addToTail(Trie.Node node) {
-        while (true) {
-            if (tailBuffer.capacity() < tailIndex - TAIL_OFFSET + 1) {
-                CharBuffer newTailBuffer = CharBuffer.allocate(
-                                tailBuffer.capacity() + (int) (tailBuffer.capacity() * BUFFER_GROWTH_PERCENTAGE));
-                tailBuffer.rewind();
-                newTailBuffer.put(tailBuffer);
-                tailBuffer = newTailBuffer;
-            }
-            tailBuffer.put(tailIndex++ - TAIL_OFFSET, node.getKey());// set character of current node
-
-            if (node.getChildren().isEmpty()) { // if it reached the end of input, break.
-                break;
-            }
-            node = node.getChildren().get(0); // Move to next node
-        }
-    }
-
-    public IntBuffer getBaseBuffer() {
-        return baseBuffer;
-    }
-
-    public IntBuffer getCheckBuffer() {
-        return checkBuffer;
-    }
-
-    public CharBuffer getTailBuffer() {
-        return tailBuffer;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/PatriciaTrie.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/PatriciaTrie.java
deleted file mode 100644
index 21484af70..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/PatriciaTrie.java
+++ /dev/null
@@ -1,611 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import java.util.*;
-
-/**
- * Convenient and compact structure for storing key-value pairs and quickly
- * looking them up, including doing prefix searches
- * 

- * Implements the {@code Map} interface
- * 

- * Note that {@code values()}, {@code keySet()}, {@code entrySet()}
- * and {@code containsValue()} have naive implementations
- *
- * @param  value type
- */
-public class PatriciaTrie implements Map {
-
-    /** Root value is left -- right is unused */
-    protected PatriciaNode root;
-
-    /** Number of entries in the trie */
-    protected int entries = 0;
-
-    /** Maps String keys to bits */
-    private final KeyMapper keyMapper = new StringKeyMapper();
-
-    /**
-     * Constructs and empty trie
-     */
-    public PatriciaTrie() {
-        clear();
-    }
-
-    /**
-     * Get value associated with specified key in this trie
-     *
-     * @param key  key to retrieve value for
-     * @return value or null if non-existent
-     */
-    @Override
-    public V get(Object key) {
-        // Keys can not be null
-        if (key == null) {
-            throw new NullPointerException("Key can not be null");
-        }
-        if (!(key instanceof String)) {
-            throw new ClassCastException("Only String keys are supported -- got " + key.getClass());
-        }
-        // Empty keys are stored in the root
-        if (key.equals("")) {
-            if (root.getRight() == null) {
-                return null;
-            } else {
-                return root.getRight().getValue();
-            }
-        }
-
-        // Find nearest node
-        PatriciaNode nearest = findNearestNode((String) key);
-
-        // If the nearest node matches key, we have a match
-        if (key.equals(nearest.getKey())) {
-            return nearest.getValue();
-        } else {
-            return null;
-        }
-    }
-
-    /**
-     * Puts value into trie identifiable by key into this trie (key should be non-null)
-     *
-     * @param key  key to associate with value
-     * @param value  value be inserted
-     * @return value inserted
-     * @throws NullPointerException in case key is null
-     */
-    @Override
-    public V put(String key, V value) {
-        // Keys can not be null
-        if (key == null) {
-            throw new NullPointerException("Key can not be null");
-        }
-
-        // Empty keys are stored in the root
-        if (key.equals("")) {
-            PatriciaNode node = new PatriciaNode<>(key, value, -1);
-            node.setValue(value);
-            root.setRight(node);
-            entries++;
-            return value;
-        }
-
-        // Find nearest node
-        PatriciaNode nearest = findNearestNode(key);
-
-        // Key already exist, replace value and return
-        if (key.equals(nearest.getKey())) {
-            nearest.setValue(value);
-            return value;
-        }
-
-        // Find differing bit and create new node to insert
-        int bit = findFirstDifferingBit(key, nearest.getKey());
-        PatriciaNode node = new PatriciaNode<>(key, value, bit);
-
-        // Insert new node
-        insertNode(node);
-
-        entries++;
-
-        return value;
-    }
-
-    /**
-     * Inserts all key and value entries in a map into this trie
-     *
-     * @param map   map with entries to insert
-     */
-    @Override
-    public void putAll(Map map) {
-        for (Entry entry : map.entrySet()) {
-            put(entry.getKey(), entry.getValue());
-        }
-    }
-
-    /**
-     * Removes entry identified by key from this trie (currently unsupported)
-     *
-     * @param key to remove
-     * @return value removed
-     * @throws UnsupportedOperationException is always thrown since this operation is unimplemented
-     */
-    @Override
-    public V remove(Object key) {
-        throw new UnsupportedOperationException("Remove is currently unsupported");
-    }
-
-    /**
-     * Test membership in this trie
-     *
-     * @param key  to test if exists
-     * @return true if trie contains key
-     */
-    @Override
-    public boolean containsKey(Object key) {
-        if (key == null) {
-            throw new NullPointerException("Key can not be null");
-        }
-        if (!(key instanceof String)) {
-            throw new ClassCastException("Only String keys are supported -- got " + key.getClass());
-        }
-
-        return get(key) != null;
-    }
-
-    /**
-     * Returns a copy of the keys contained in this trie as a Set
-     *
-     * @return keys in the trie, not null
-     */
-    @Override
-    public Set keySet() {
-        Set keys = new HashSet<>();
-        keysR(root.getLeft(), -1, keys);
-        return keys;
-    }
-
-    /**
-     * Returns a copy of the values contained in this trie as a Set
-     *
-     * @return values in the trie, not null
-     */
-    @Override
-    public Collection values() {
-        List values = new ArrayList<>();
-        valuesR(root.getLeft(), -1, values);
-        return values;
-    }
-
-    /**
-     *  Test key prefix membership in this trie (prefix search using key)
-     *
-     * @param prefix  key prefix to search
-     * @return true if trie contains key prefix
-     */
-    public boolean containsKeyPrefix(String prefix) {
-        if (prefix == null) {
-            throw new NullPointerException("Prefix key can not be null");
-        }
-
-        // An empty string is a prefix of everything
-        if (prefix.equals("")) {
-            return true;
-        }
-
-        // Find nearest node
-        PatriciaNode nearest = findNearestNode(prefix);
-
-        // If no nearest node exist, there isn't any prefix match either
-        if (nearest == null) {
-            return false;
-        }
-
-        // The nearest is the root, so no match
-        if (nearest.getKey() == null) {
-            return false;
-        }
-
-        // Test prefix match
-        return nearest.getKey().startsWith(prefix);
-    }
-
-    /**
-     * Returns the number of key-value mappings in this trie
-     *
-     * @return number of entries in trie
-     */
-    @Override
-    public int size() {
-        return entries;
-    }
-
-    /**
-     * Predicate indicating whether this trie is empty
-     *
-     * @return true if and only ff the trie is empty
-     */
-    @Override
-    public boolean isEmpty() {
-        return entries == 0;
-    }
-
-    /**
-     * Clears this trie by removing all its key-value pairs
-     */
-    @Override
-    public void clear() {
-        root = new PatriciaNode<>(null, null, -1);
-        root.setLeft(root);
-        entries = 0;
-    }
-
-    /**
-     * Predicate to test value membership
-     *
-     * @param value  value to test if is contained in the trie
-     * @return true if and only if trie contains value
-     */
-    @Override
-    public boolean containsValue(Object value) {
-        for (V v : values()) {
-            if (v.equals(value)) {
-                return true;
-            }
-        }
-        return false;
-    }
-
-    /**
-     * Returns a copy of the mappings contained in this trie as a Set
-     *
-     * @return entries in the trie, not null
-     */
-    @Override
-    public Set> entrySet() {
-        HashMap entries = new HashMap<>();
-        entriesR(root.getLeft(), -1, entries);
-        return entries.entrySet();
-    }
-
-    /**
-     * Finds the closest node in the trie matching key
-     *
-     * @param key  key to look up
-     * @return closest node, null null
-     */
-    private PatriciaNode findNearestNode(String key) {
-        PatriciaNode current = root.getLeft();
-        PatriciaNode parent = root;
-
-        while (parent.getBit() < current.getBit()) {
-            parent = current;
-            if (!keyMapper.isSet(current.getBit(), key)) {
-                current = current.getLeft();
-            } else {
-                current = current.getRight();
-            }
-        }
-        return current;
-    }
-
-    /**
-     * Returns the leftmost differing bit index when doing a bitwise comparison of key1 and key2
-     *
-     * @param key1  first key to compare
-     * @param key2  second key to compare
-     * @return bit index of first different bit
-     */
-    private int findFirstDifferingBit(String key1, String key2) {
-        int bit = 0;
-
-        while (keyMapper.isSet(bit, key1) == keyMapper.isSet(bit, key2)) {
-            bit++;
-        }
-        return bit;
-    }
-
-    /**
-     * Inserts a node into this trie
-     *
-     * @param node  node to insert
-     */
-    private void insertNode(PatriciaNode node) {
-        PatriciaNode current = root.getLeft();
-        PatriciaNode parent = root;
-
-        while (parent.getBit() < current.getBit() && current.getBit() < node.getBit()) {
-            parent = current;
-            if (!keyMapper.isSet(current.getBit(), node.getKey())) {
-                current = current.getLeft();
-            } else {
-                current = current.getRight();
-            }
-        }
-
-        if (!keyMapper.isSet(node.getBit(), node.getKey())) {
-            node.setLeft(node);
-            node.setRight(current);
-        } else {
-            node.setLeft(current);
-            node.setRight(node);
-        }
-
-        if (!keyMapper.isSet(parent.getBit(), node.getKey())) {
-            parent.setLeft(node);
-        } else {
-            parent.setRight(node);
-        }
-    }
-
-    /**
-     * Should only be used by {@link PatriciaTrieFormatter}
-     *
-     * @return trie root, not null
-     */
-    public PatriciaNode getRoot() {
-        return root;
-    }
-
-    /**
-     * Should only be used by {@link PatriciaTrieFormatter}
-     *
-     * @return key mapper used to map key to bit strings
-     */
-    public KeyMapper getKeyMapper() {
-        return keyMapper;
-    }
-
-    private void valuesR(PatriciaNode node, int bit, List list) {
-        if (node.getBit() <= bit) {
-            return;
-        } else {
-            valuesR(node.getLeft(), node.getBit(), list);
-            valuesR(node.getRight(), node.getBit(), list);
-            list.add(node.getValue());
-        }
-    }
-
-    private void keysR(PatriciaNode node, int bit, Set keys) {
-        if (node.getBit() <= bit) {
-            return;
-        } else {
-            keysR(node.getLeft(), node.getBit(), keys);
-            keysR(node.getRight(), node.getBit(), keys);
-            keys.add(node.getKey());
-        }
-    }
-
-    private void entriesR(PatriciaNode node, int bit, Map entries) {
-        if (node.getBit() <= bit) {
-            return;
-        } else {
-            entriesR(node.getLeft(), node.getBit(), entries);
-            entriesR(node.getRight(), node.getBit(), entries);
-            entries.put(node.getKey(), node.getValue());
-        }
-    }
-
-    /**
-     * Generic interface to map a key to bits
-     *
-     * @param   key type
-     */
-    public interface KeyMapper {
-        /** Tests a bit in a key
-         *
-         * @param bit  bit to test
-         * @param key  key to use as a base for testing
-         * @return true if the specified bit is set in the provided key
-         */
-        boolean isSet(int bit, K key);
-
-        /** Formats a key as a String
-         *
-         * @param key  key to format to a String
-         * @return key formatted as a String, not null
-         */
-        String toBitString(K key);
-    }
-
-    /**
-     * A {@link KeyMapper} mapping Strings to bits
-     */
-    public static class StringKeyMapper implements KeyMapper {
-
-        public boolean isSet(int bit, String key) {
-            if (key == null) {
-                return false;
-            }
-
-            if (bit >= length(key)) {
-                return true;
-            }
-
-            int codePoint = Character.codePointAt(key, bit / Character.SIZE);
-            int mask = 1 << (Character.SIZE - 1 - (bit % Character.SIZE));
-            int result = codePoint & mask;
-
-            if (result != 0) {
-                return true;
-            } else {
-                return false;
-            }
-        }
-
-        public String toBitString(String key) {
-            StringBuilder builder = new StringBuilder();
-            for (int i = 0; i < length(key); i++) {
-                if (isSet(i, key)) {
-                    builder.append("1");
-                } else {
-                    builder.append("0");
-                }
-                if ((i + 1) % 4 == 0 && i < length(key)) {
-                    builder.append(" ");
-                }
-            }
-            return builder.toString();
-        }
-
-        private int length(String key) {
-            if (key == null) {
-                return 0;
-            } else {
-                return key.length() * Character.SIZE;
-            }
-        }
-    }
-
-    /**
-     * Nodes used in a {@link PatriciaTrie} containing a String key and associated value data
-     *
-     * @param   value type
-     */
-    public static class PatriciaNode {
-
-        /** This node's key */
-        private String key;
-
-        /** This node's value */
-        private V value;
-
-        /** Critical bit */
-        private int bit;
-
-        /** Left node */
-        private PatriciaNode left = null;
-
-        /** Right node */
-        private PatriciaNode right = null;
-
-        /**
-         * Constructs a new node
-         *
-         * @param key  this node's key
-         * @param value  this node's value
-         * @param bit  this node's critical bit
-         */
-        public PatriciaNode(String key, V value, int bit) {
-            this.key = key;
-            this.value = value;
-            this.bit = bit;
-        }
-
-        /**
-         * Get this node's key
-         *
-         * @return key, not null
-         */
-        public String getKey() {
-            return key;
-        }
-
-        /**
-         * Returns this node's value
-         *
-         * @return payload value
-         */
-        public V getValue() {
-            return value;
-        }
-
-        /**
-         * Sets this node's value
-         *
-         * @param value  value to set
-         */
-        public void setValue(V value) {
-            this.value = value;
-        }
-
-        /**
-         * Returns this node's critical bit index
-         *
-         * @return critical bit index (from left/MSB)
-         */
-        public int getBit() {
-            return bit;
-        }
-
-        /**
-        * Returns this node's left node
-        *
-        * @return left node
-        */
-        public PatriciaNode getLeft() {
-            return left;
-        }
-
-        /**
-         * Returns this node's right node
-         *
-         * @return right node
-         */
-        public PatriciaNode getRight() {
-            return right;
-        }
-
-        /**
-         * Set this node's left node
-         *
-         * @param left  left node
-         */
-        public void setLeft(PatriciaNode left) {
-            this.left = left;
-        }
-
-        /**
-         * Set this node's right node
-         *
-         * @param right  right node
-         */
-        public void setRight(PatriciaNode right) {
-            this.right = right;
-        }
-
-        /**
-         * {@inheritDoc}
-         */
-        @Override
-        public String toString() {
-            StringBuilder builder = new StringBuilder();
-            builder.append("key: " + key);
-            builder.append(", ");
-            builder.append("bit: " + bit);
-            builder.append(", ");
-            //		builder.append("bitString: " + StringKeyMapper.toBitString(key));
-            //		builder.append(", ");
-            builder.append("value: " + value);
-            builder.append(", ");
-            if (left != null) {
-                builder.append("left: " + left.getKey());
-            } else {
-                builder.append("left: null");
-            }
-            builder.append(", ");
-            if (right != null) {
-                builder.append("right: " + right.getKey());
-            } else {
-                builder.append("right: null");
-            }
-            return builder.toString();
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/PatriciaTrieFormatter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/PatriciaTrieFormatter.java
deleted file mode 100644
index 9ded7fbb2..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/PatriciaTrieFormatter.java
+++ /dev/null
@@ -1,258 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import com.atilika.kuromoji.trie.PatriciaTrie.KeyMapper;
-
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.io.FileOutputStream;
-import java.io.PrintWriter;
-
-/**
- * Utility class to format a {@link PatriciaTrie} to dot format for debugging, inspection, etc.
- *
- * @param  value type
- *
- * See @see Graphviz
- */
-public class PatriciaTrieFormatter {
-
-    private final static String FONT_NAME = "Helvetica";
-
-    /**
-     * Constructor
-     */
-    public PatriciaTrieFormatter() {}
-
-    /**
-     * Format trie
-     *
-     * @param trie  trie to format
-     * @return formatted trie, not null
-     */
-    public String format(PatriciaTrie trie) {
-        return format(trie, true);
-    }
-
-    /**
-     * Format trie
-     *
-     * @param trie  trie to format
-     * @param formatBitString  true if the bits for this key should be included in the node
-     * @return formatted trie, not null
-     */
-    public String format(PatriciaTrie trie, boolean formatBitString) {
-        StringBuilder builder = new StringBuilder();
-        builder.append(formatHeader());
-        builder.append(formatNode(trie.getRoot().getLeft(), -1, trie.getKeyMapper(), formatBitString));
-        builder.append(formatTrailer());
-        return builder.toString();
-    }
-
-    /**
-     * Format trie and write to file
-     *
-     * @param trie  trie to format
-     * @param file  file to write to
-     * @throws FileNotFoundException if the file exists but is a directory rather than a regular file,
-     * does not exist but cannot be created, or cannot be opened for any other reason
-     */
-    public void format(PatriciaTrie trie, File file) throws FileNotFoundException {
-        format(trie, file, false);
-    }
-
-    /**
-     * Format trie and write to file
-     *
-     * @param trie  trie to format
-     * @param file  file to write to
-     * @param formatBitString  true if the bits for this key should be included in the node
-     * @throws FileNotFoundException if the file exists but is a directory rather than a regular file,
-     * does not exist but cannot be created, or cannot be opened for any other reason
-     */
-    public void format(PatriciaTrie trie, File file, boolean formatBitString) throws FileNotFoundException {
-        PrintWriter writer = new PrintWriter(new FileOutputStream(file));
-        writer.println(format(trie, formatBitString));
-        writer.close();
-    }
-
-    /**
-     * Format header
-     *
-     * @return formatted header, not null
-     */
-    private String formatHeader() {
-        StringBuilder builder = new StringBuilder();
-        builder.append("digraph patricia {\n");
-        //      builder.append("graph [ fontsize=30 labelloc=\"t\" label=\"\" splines=true overlap=false ];\n");
-        //      builder.append("# A2 paper size\n");
-        //      builder.append("size = \"34.4,16.5\";\n");
-        //      builder.append("# try to fill paper\n");
-        //      builder.append("ratio = fill;\n");
-        //      builder.append("edge [ fontname=\"" + FONT_NAME + "\" fontcolor=\"red\" color=\"#606060\" ]\n");
-        builder.append("nodesep=1.5;");
-        builder.append("node [ style=\"filled\" fillcolor=\"#e8e8f0\" shape=\"Mrecord\" fontname=\"" + FONT_NAME
-                        + "\" ]\n");
-        //      builder.append("edge [ fontname=\"" + FONT_NAME + "\" fontcolor=\"red\" color=\"#606060\" ]\n");
-        //      builder.append("node [ shape=\"circle\" ]\n");
-        return builder.toString();
-    }
-
-    /**
-     * Format trailer
-     *
-     * @return formatted trailer
-     */
-    private String formatTrailer() {
-        return "}";
-    }
-
-    /**
-     * Formats nodes
-     *
-     * @param node  node to format
-     * @param bit  bit for this node
-     * @param keyMapper  keymapper to map keys to bits
-     * @param formatBitString  true if the bits for this key should be included in the node
-     * @return formatted node, not null
-     */
-    private String formatNode(PatriciaTrie.PatriciaNode node, int bit, KeyMapper keyMapper,
-                    boolean formatBitString) {
-        if (node.getBit() <= bit) {
-            return "";
-        } else {
-            StringBuffer buffer = new StringBuffer();
-            buffer.append("\"");
-            buffer.append(getNodeId(node));
-            buffer.append("\"");
-            buffer.append(" [ ");
-            buffer.append("label=");
-            buffer.append(formatNodeLabel(node, keyMapper, formatBitString));
-            buffer.append(" ]");
-            buffer.append("\n");
-
-            buffer.append(formatPointer(node, node.getLeft(), "l", "sw"));
-            buffer.append(formatPointer(node, node.getRight(), "r", "se"));
-
-            buffer.append(formatNode(node.getLeft(), node.getBit(), keyMapper, formatBitString));
-            buffer.append(formatNode(node.getRight(), node.getBit(), keyMapper, formatBitString));
-
-            return buffer.toString();
-        }
-    }
-
-    /**
-     * Formats a link between two nodes
-     *
-     * @param from  from node
-     * @param to  to node
-     * @param label  label for this link
-     * @param tailport  tail port to use when formatting (dot-specific, "sw" or "se)
-     * @return formatted link, not null
-     */
-    private String formatPointer(PatriciaTrie.PatriciaNode from, PatriciaTrie.PatriciaNode to, String label,
-                    String tailport) {
-        StringBuilder builder = new StringBuilder();
-        builder.append(getNodeId(from));
-        builder.append(" -> ");
-        builder.append(getNodeId(to));
-        builder.append(" [ ");
-        builder.append("label=\"");
-        builder.append(label);
-        builder.append(" \"");
-        builder.append("tailport=\"");
-        builder.append(tailport);
-        builder.append(" \"");
-        builder.append("fontcolor=\"#666666\" ");
-        builder.append(" ]");
-        builder.append("\n");
-        return builder.toString();
-    }
-
-    /**
-     * Format node label
-     *
-     * @param node  node to format
-     * @param keyMapper  keymapper to map keys to bits
-     * @param formatBitString  true if the bits for this key should be included in the node
-     * @return formatted node, not null
-     */
-    private String formatNodeLabel(PatriciaTrie.PatriciaNode node, KeyMapper keyMapper,
-                    boolean formatBitString) {
-        StringBuilder builder = new StringBuilder();
-        builder.append("<");
-        // Key
-        builder.append("");
-
-        // Critical bit
-        builder.append("");
-
-        // Bit string
-        if (formatBitString) {
-            builder.append("");
-        }
-
-        // Value
-        builder.append("");
-
-        builder.append("
");
-        builder.append("key: ");
-        builder.append(getNodeLabel(node));
-        builder.append(" 
");
-        builder.append("bit: ");
-        builder.append(node.getBit());
-        builder.append(" 
");
-            builder.append("bitString: ");
-            String bitString = keyMapper.toBitString(node.getKey());
-            int c = node.getBit() + node.getBit() / 4;
-            builder.append(bitString.substring(0, c));
-            builder.append("");
-            builder.append(bitString.charAt(c));
-            builder.append("");
-            builder.append(bitString.substring(c + 1));
-            builder.append(" 
");
-        builder.append("value: ");
-        builder.append(node.getValue());
-        builder.append(" 
>");
-        return builder.toString();
-    }
-
-    /**
-     * Get node label
-     *
-     * @param node
-     * @return label, not null
-     */
-    private String getNodeLabel(PatriciaTrie.PatriciaNode node) {
-        return node.getKey();
-    }
-
-    /**
-     * Get node id used to distinguish nodes internally
-     *
-     * @param node
-     * @return node id, not null
-     */
-    private String getNodeId(PatriciaTrie.PatriciaNode node) {
-        if (node == null) {
-            return "null";
-        } else {
-            return node.getKey();
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/Trie.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/Trie.java
deleted file mode 100644
index bc22a0768..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/Trie.java
+++ /dev/null
@@ -1,173 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * Simple Trie used to build the DoubleArrayTrie
- */
-public class Trie {
-
-    /** Root node */
-    private Node root;
-
-    /**
-     * Constructor
-     * 

-     * Initialize this as an empty trie
-     */
-    public Trie() {
-        root = new Node();
-    }
-
-    /**
-     * Adds an input value to this trie
-     * 

-     * Before the value is added, a terminating character (U+0001) is appended to the input string
-     *
-     * @param value  value to add to this trie
-     */
-    public void add(String value) {
-        root.add(value, true);
-    }
-
-    /**
-     * Returns this trie's root node
-     *
-     * @return root node, not null
-     */
-    public Node getRoot() {
-        return root;
-    }
-
-    /**
-     * Trie Node
-     */
-    public class Node {
-        private char key;
-
-        private List children = new ArrayList<>();
-
-        /**
-         * Constructor
-         */
-        public Node() {}
-
-        /**
-         * Constructor
-         *
-         * @param key  this node's key
-         */
-        public Node(char key) {
-            this.key = key;
-        }
-
-        /**
-         * Add string to add to this node
-         *
-         * @param value  string value, not null
-         */
-        public void add(String value) {
-            add(value, false);
-        }
-
-        public void add(String value, boolean terminate) {
-            if (value.length() == 0) {
-                return;
-            }
-
-            Node node = addChild(new Node(value.charAt(0)));
-
-            for (int i = 1; i < value.length(); i++) {
-                node = node.addChild(new Node(value.charAt(i)));
-            }
-
-            if (terminate && (node != null)) {
-                node.addChild(new Node(DoubleArrayTrie.TERMINATING_CHARACTER));
-            }
-        }
-
-        /**
-         * Adds a new child node to this node
-         *
-         * @param newNode  new child to add
-         * @return the child node added, or, if a node with same key already exists, that node
-         */
-        public Node addChild(Node newNode) {
-            Node child = getChild(newNode.getKey());
-            if (child == null) {
-                children.add(newNode);
-                child = newNode;
-            }
-            return child;
-        }
-
-        /**
-         * Return this node's key
-         *
-         * @return key
-         */
-        public char getKey() {
-            return key;
-        }
-
-        /**
-         * Predicate indicating if children following this node forms single key path (no branching)
-         * 

-         * For example, if we have "abcde" and "abfgh" in the trie, calling this method on node "a" and "b" returns false.
-         * However, this method on "c", "d", "e", "f", "g" and "h" returns true.
-         *
-         * @return true if this node has a single key path. false otherwise.
-         */
-        public boolean hasSinglePath() {
-            switch (children.size()) {
-                case 0:
-                    return true;
-                case 1:
-                    return children.get(0).hasSinglePath();
-                default:
-                    return false;
-            }
-        }
-
-        /**
-         * Returns this node's child nodes
-         *
-         * @return child nodes, not null
-         */
-        public List getChildren() {
-            return children;
-        }
-
-        /**
-         * Searches this nodes for a child with a specific key
-         *
-         * @param key  key to search for
-         * @return node matching the input key if it exists, otherwise null
-         */
-        private Node getChild(char key) {
-            for (Node child : children) {
-                if (child.getKey() == key) {
-                    return child;
-                }
-            }
-            return null;
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/DictionaryEntryLineParser.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/DictionaryEntryLineParser.java
deleted file mode 100644
index 1fe07ca47..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/DictionaryEntryLineParser.java
+++ /dev/null
@@ -1,139 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class DictionaryEntryLineParser {
-
-    private static final char QUOTE = '"';
-    private static final char COMMA = ',';
-    private static final String QUOTE_ESCAPED = "\"\"";
-
-    /**
-     * Parse CSV line
-     *
-     * @param line  line to parse
-     * @return String array of parsed valued, null
-     * @throws RuntimeException on malformed input
-     */
-    public static String[] parseLine(String line) {
-        boolean insideQuote = false;
-        List result = new ArrayList<>();
-        StringBuilder builder = new StringBuilder();
-        int quoteCount = 0;
-
-        for (int i = 0; i < line.length(); i++) {
-            char c = line.charAt(i);
-
-            if (c == QUOTE) {
-                insideQuote = !insideQuote;
-                quoteCount++;
-            }
-
-            if (c == COMMA && !insideQuote) {
-                String value = builder.toString();
-                value = unescape(value);
-
-                result.add(value);
-                builder = new StringBuilder();
-                continue;
-            }
-
-            builder.append(c);
-        }
-
-        result.add(builder.toString());
-
-        if (quoteCount % 2 != 0) {
-            throw new RuntimeException("Unmatched quote in entry: " + line);
-        }
-
-        return result.toArray(new String[result.size()]);
-    }
-
-    /**
-     * Unescape input for CSV
-     *
-     * @param text  text to be unescaped
-     * @return unescaped value, not null
-     */
-    public static String unescape(String text) {
-        StringBuilder builder = new StringBuilder();
-        boolean foundQuote = false;
-
-        for (int i = 0; i < text.length(); i++) {
-            char c = text.charAt(i);
-
-            if (i == 0 && c == QUOTE || i == text.length() - 1 && c == QUOTE) {
-                continue;
-            }
-
-            if (c == QUOTE) {
-                if (foundQuote) {
-                    builder.append(QUOTE);
-                    foundQuote = false;
-                } else {
-                    foundQuote = true;
-                }
-            } else {
-                foundQuote = false;
-                builder.append(c);
-            }
-        }
-
-        return builder.toString();
-    }
-
-    /**
-     * Escape input for CSV
-     *
-     * @param text  text to be escaped
-     * @return escaped value, not null
-     */
-    public static String escape(String text) {
-        boolean hasQuote = text.indexOf(QUOTE) >= 0;
-        boolean hasComma = text.indexOf(COMMA) >= 0;
-
-        if (!(hasQuote || hasComma)) {
-            return text;
-        }
-
-        StringBuilder builder = new StringBuilder();
-
-        if (hasQuote) {
-            for (int i = 0; i < text.length(); i++) {
-                char c = text.charAt(i);
-
-                if (c == QUOTE) {
-                    builder.append(QUOTE_ESCAPED);
-                } else {
-                    builder.append(c);
-                }
-            }
-        } else {
-            builder.append(text);
-        }
-
-        if (hasComma) {
-            builder.insert(0, QUOTE);
-            builder.append(QUOTE);
-        }
-        return builder.toString();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/FileResourceResolver.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/FileResourceResolver.java
deleted file mode 100644
index 2e6377ec5..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/FileResourceResolver.java
+++ /dev/null
@@ -1,51 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.IOException;
-import java.io.InputStream;
-
-public class FileResourceResolver implements ResourceResolver {
-    protected static final Logger log = LoggerFactory.getLogger(FileResourceResolver.class);
-
-    static {
-        if (KuromojiBinFilesFetcher.kuromojiExist() == false) {
-            log.info("Kuromoji bin folder not exist ");
-            try {
-                KuromojiBinFilesFetcher.downloadAndUntar();
-            } catch (IOException e) {
-                log.error("IOException : ", e);
-            }
-        }
-    }
-
-    public FileResourceResolver() {}
-
-    @Override
-    public InputStream resolve(String fileName) throws IOException {
-        InputStream input = new FileInputStream(new File(fileName));
-        if (input == null) {
-            throw new IOException("Classpath resource not found: " + fileName);
-        }
-        return input;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/KuromojiBinFilesFetcher.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/KuromojiBinFilesFetcher.java
deleted file mode 100644
index 942ce6a21..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/KuromojiBinFilesFetcher.java
+++ /dev/null
@@ -1,74 +0,0 @@
-package com.atilika.kuromoji.util;
-
-import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.io.FileUtils;
-import org.deeplearning4j.common.resources.DL4JResources;
-import org.deeplearning4j.common.resources.ResourceType;
-import org.nd4j.common.util.ArchiveUtils;
-
-import java.io.File;
-import java.io.IOException;
-import java.net.URL;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * Created by kepricon on 16. 11. 24.
- */
-@Slf4j
-public class KuromojiBinFilesFetcher {
-
-    private static final String KUROMOJI_RESOURCE_NAME = "kuromoji";
-
-    private KuromojiBinFilesFetcher(){ }
-
-    public static File getKuromojiRoot(){
-        return DL4JResources.getDirectory(ResourceType.RESOURCE, KUROMOJI_RESOURCE_NAME);
-    }
-
-    public static boolean kuromojiExist() {
-        File root = getKuromojiRoot();
-
-        List binFileList = new ArrayList<>();
-
-        binFileList.add(root);
-        binFileList.add(new File(root, "characterDefinitions.bin"));
-        binFileList.add(new File(root, "connectionCosts.bin"));
-        binFileList.add(new File(root, "doubleArrayTrie.bin"));
-        binFileList.add(new File(root, "tokenInfoDictionary.bin"));
-        binFileList.add(new File(root, "tokenInfoFeaturesMap.bin"));
-        binFileList.add(new File(root, "tokenInfoPartOfSpeechMap.bin"));
-        binFileList.add(new File(root, "tokenInfoTargetMap.bin"));
-        binFileList.add(new File(root, "unknownDictionary.bin"));
-
-        for (File f : binFileList) {
-            if (!f.exists()) {
-                return false;
-            }
-        }
-        return true;
-    }
-
-    public static File downloadAndUntar() throws IOException {
-        File rootDir = getKuromojiRoot();
-        File[] files = rootDir.listFiles();
-        if (rootDir.exists() && files != null && files.length > 0) {
-            log.warn("Kuromoji dictionary files exist but failed checks. Deleting and re-downloading.");
-            FileUtils.deleteDirectory(rootDir);
-            rootDir.mkdir();
-        }
-
-        log.info("Downloading Kuromoji bin files...");
-
-        // download kuromoji bin file from azure blob
-        File tarFile = new File(rootDir, "kuromoji_bin_files.tar.gz");
-        if (!tarFile.isFile()) {
-            FileUtils.copyURLToFile(
-                            new URL("https://dl4jdata.blob.core.windows.net/kuromoji/kuromoji_bin_files.tar.gz"),
-                            tarFile);
-        }
-        ArchiveUtils.unzipFileTo(tarFile.getAbsolutePath(), rootDir.getAbsolutePath(), false);
-
-        return rootDir.getAbsoluteFile();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/ResourceResolver.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/ResourceResolver.java
deleted file mode 100644
index f5cc69517..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/ResourceResolver.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-import java.io.IOException;
-import java.io.InputStream;
-
-/**
- * An adapter to resolve the required resources into data streams.
- */
-public interface ResourceResolver {
-    /**
-     * Resolve the resource name and return an open input stream to it.
-     *
-     * @param resourceName resource to resolve
-     * @return resolved resource stream
-     * @throws IOException if an I/O error occured resolving the resource
-     */
-    InputStream resolve(String resourceName) throws IOException;
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/SimpleResourceResolver.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/SimpleResourceResolver.java
deleted file mode 100644
index 47605a622..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/SimpleResourceResolver.java
+++ /dev/null
@@ -1,38 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-import java.io.IOException;
-import java.io.InputStream;
-
-public class SimpleResourceResolver implements ResourceResolver {
-
-    private Class clazz;
-
-    public SimpleResourceResolver(Class clazz) {
-        this.clazz = clazz;
-    }
-
-    @Override
-    public InputStream resolve(String resourceName) throws IOException {
-        InputStream input = clazz.getResourceAsStream(resourceName);
-        if (input == null) {
-            throw new IOException("Classpath resource not found: " + resourceName);
-        }
-        return input;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/StringUtils.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/StringUtils.java
deleted file mode 100644
index 79293800d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/StringUtils.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-public class StringUtils {
-
-    public static String join(String[] values, String separator) {
-        StringBuilder builder = new StringBuilder();
-
-        for (int i = 0; i < values.length; i++) {
-            builder.append(values[i]);
-
-            if (i < values.length - 1) {
-                builder.append(separator);
-            }
-        }
-
-        return builder.toString();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/UnknownDictionaryEntryParser.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/UnknownDictionaryEntryParser.java
deleted file mode 100644
index 1ee2e505a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/util/UnknownDictionaryEntryParser.java
+++ /dev/null
@@ -1,48 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-import com.atilika.kuromoji.dict.GenericDictionaryEntry;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.List;
-
-public class UnknownDictionaryEntryParser extends DictionaryEntryLineParser {
-
-    // NOTE: Currently this code is the same as the IPADIC dictionary entry parser,
-    // which is okay for all the dictionaries supported so far...
-    public GenericDictionaryEntry parse(String entry) {
-        String[] fields = parseLine(entry);
-
-        String surface = fields[0];
-        short leftId = Short.parseShort(fields[1]);
-        short rightId = Short.parseShort(fields[2]);
-        short wordCost = Short.parseShort(fields[3]);
-
-        List pos = new ArrayList<>();
-        pos.addAll(Arrays.asList(fields).subList(4, 10));
-
-        List features = new ArrayList<>();
-        features.addAll(Arrays.asList(fields).subList(10, fields.length));
-
-        GenericDictionaryEntry dictionaryEntry = new GenericDictionaryEntry.Builder().surface(surface).leftId(leftId)
-                        .rightId(rightId).wordCost(wordCost).pos(pos).features(features).build();
-
-        return dictionaryEntry;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/TokenFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/TokenFactory.java
deleted file mode 100644
index 8ae1b6137..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/TokenFactory.java
+++ /dev/null
@@ -1,25 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.viterbi;
-
-import com.atilika.kuromoji.TokenBase;
-import com.atilika.kuromoji.dict.Dictionary;
-
-public interface TokenFactory {
-
-    T createToken(int wordId, String surface, ViterbiNode.Type type, int position, Dictionary dictionary);
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiBuilder.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiBuilder.java
deleted file mode 100644
index 7d3fd6d5a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiBuilder.java
+++ /dev/null
@@ -1,338 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.viterbi;
-
-import com.atilika.kuromoji.TokenizerBase.Mode;
-import com.atilika.kuromoji.dict.CharacterDefinitions;
-import com.atilika.kuromoji.dict.TokenInfoDictionary;
-import com.atilika.kuromoji.dict.UnknownDictionary;
-import com.atilika.kuromoji.dict.UserDictionary;
-import com.atilika.kuromoji.trie.DoubleArrayTrie;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class ViterbiBuilder {
-
-    private final DoubleArrayTrie trie;
-    private final TokenInfoDictionary dictionary;
-    private final UnknownDictionary unknownDictionary;
-    private final UserDictionary userDictionary;
-    private final CharacterDefinitions characterDefinitions;
-    private final boolean useUserDictionary;
-    private boolean searchMode;
-
-    /**
-     * Constructor
-     *
-     * @param trie  trie with surface forms
-     * @param dictionary  token info dictionary
-     * @param unknownDictionary  unknown word dictionary
-     * @param userDictionary  user dictionary
-     * @param mode  tokenization {@link Mode mode}
-     */
-    public ViterbiBuilder(DoubleArrayTrie trie, TokenInfoDictionary dictionary, UnknownDictionary unknownDictionary,
-                    UserDictionary userDictionary, Mode mode) {
-        this.trie = trie;
-        this.dictionary = dictionary;
-        this.unknownDictionary = unknownDictionary;
-        this.userDictionary = userDictionary;
-
-        this.useUserDictionary = (userDictionary != null);
-
-        if (mode == Mode.SEARCH || mode == Mode.EXTENDED) {
-            searchMode = true;
-        }
-        this.characterDefinitions = unknownDictionary.getCharacterDefinition();
-    }
-
-
-    /**
-     * Build lattice from input text
-     *
-     * @param text  source text for the lattice
-     * @return built lattice, not null
-     */
-    public ViterbiLattice build(String text) {
-        int textLength = text.length();
-        ViterbiLattice lattice = new ViterbiLattice(textLength + 2);
-
-        lattice.addBos();
-
-        int unknownWordEndIndex = -1; // index of the last character of unknown word
-
-        for (int startIndex = 0; startIndex < textLength; startIndex++) {
-            // If no token ends where current token starts, skip this index
-            if (lattice.tokenEndsWhereCurrentTokenStarts(startIndex)) {
-
-                String suffix = text.substring(startIndex);
-                boolean found = processIndex(lattice, startIndex, suffix);
-
-                // In the case of normal mode, it doesn't process unknown word greedily.
-                if (searchMode || unknownWordEndIndex <= startIndex) {
-
-                    int[] categories = characterDefinitions.lookupCategories(suffix.charAt(0));
-
-                    for (int i = 0; i < categories.length; i++) {
-                        int category = categories[i];
-                        unknownWordEndIndex = processUnknownWord(category, i, lattice, unknownWordEndIndex, startIndex,
-                                        suffix, found);
-                    }
-                }
-            }
-        }
-
-        if (useUserDictionary) {
-            processUserDictionary(text, lattice);
-        }
-
-        lattice.addEos();
-
-        return lattice;
-    }
-
-    private boolean processIndex(ViterbiLattice lattice, int startIndex, String suffix) {
-        boolean found = false;
-        for (int endIndex = 1; endIndex < suffix.length() + 1; endIndex++) {
-            String prefix = suffix.substring(0, endIndex);
-            int result = trie.lookup(prefix, 0, 0);
-
-            if (result > 0) { // Found match in double array trie
-                found = true; // Don't produce unknown word starting from this index
-                for (int wordId : dictionary.lookupWordIds(result)) {
-                    ViterbiNode node = new ViterbiNode(wordId, prefix, dictionary, startIndex, ViterbiNode.Type.KNOWN);
-                    lattice.addNode(node, startIndex + 1, startIndex + 1 + endIndex);
-                }
-            } else if (result < 0) { // If result is less than zero, continue to next position
-                break;
-            }
-        }
-        return found;
-    }
-
-    private int processUnknownWord(int category, int i, ViterbiLattice lattice, int unknownWordEndIndex, int startIndex,
-                    String suffix, boolean found) {
-        int unknownWordLength = 0;
-        int[] definition = characterDefinitions.lookupDefinition(category);
-
-        if (definition[CharacterDefinitions.INVOKE] == 1 || found == false) {
-            if (definition[CharacterDefinitions.GROUP] == 0) {
-                unknownWordLength = 1;
-            } else {
-                unknownWordLength = 1;
-                for (int j = 1; j < suffix.length(); j++) {
-                    char c = suffix.charAt(j);
-
-                    int[] categories = characterDefinitions.lookupCategories(c);
-
-                    if (categories == null) {
-                        break;
-                    }
-
-                    if (i < categories.length && category == categories[i]) {
-                        unknownWordLength++;
-                    } else {
-                        break;
-                    }
-                }
-            }
-        }
-
-        if (unknownWordLength > 0) {
-            String unkWord = suffix.substring(0, unknownWordLength);
-            int[] wordIds = unknownDictionary.lookupWordIds(category); // characters in input text are supposed to be the same
-
-            for (int wordId : wordIds) {
-                ViterbiNode node = new ViterbiNode(wordId, unkWord, unknownDictionary, startIndex,
-                                ViterbiNode.Type.UNKNOWN);
-                lattice.addNode(node, startIndex + 1, startIndex + 1 + unknownWordLength);
-            }
-            unknownWordEndIndex = startIndex + unknownWordLength;
-        }
-
-        return unknownWordEndIndex;
-    }
-
-    /**
-     * Find token(s) in input text and set found token(s) in arrays as normal tokens
-     *
-     * @param text
-     * @param lattice
-     */
-    private void processUserDictionary(final String text, ViterbiLattice lattice) {
-        List matches = userDictionary.findUserDictionaryMatches(text);
-
-        for (UserDictionary.UserDictionaryMatch match : matches) {
-            int wordId = match.getWordId();
-            int index = match.getMatchStartIndex();
-            int length = match.getMatchLength();
-
-            String word = text.substring(index, index + length);
-
-            ViterbiNode node = new ViterbiNode(wordId, word, userDictionary, index, ViterbiNode.Type.USER);
-            int nodeStartIndex = index + 1;
-            int nodeEndIndex = nodeStartIndex + length;
-
-            lattice.addNode(node, nodeStartIndex, nodeEndIndex);
-
-            if (isLatticeBrokenBefore(nodeStartIndex, lattice)) {
-                repairBrokenLatticeBefore(lattice, index);
-            }
-
-            if (isLatticeBrokenAfter(nodeStartIndex + length, lattice)) {
-                repairBrokenLatticeAfter(lattice, nodeEndIndex);
-            }
-        }
-    }
-
-    /**
-     * Checks whether there exists any node in the lattice that connects to the newly inserted entry on the left side
-     * (before the new entry).
-     *
-     * @param nodeIndex
-     * @param lattice
-     * @return whether the lattice has a node that ends at nodeIndex
-     */
-    private boolean isLatticeBrokenBefore(int nodeIndex, ViterbiLattice lattice) {
-        ViterbiNode[][] nodeEndIndices = lattice.getEndIndexArr();
-
-        return nodeEndIndices[nodeIndex] == null;
-    }
-
-    /**
-     * Checks whether there exists any node in the lattice that connects to the newly inserted entry on the right side
-     * (after the new entry).
-     *
-     * @param endIndex
-     * @param lattice
-     * @return whether the lattice has a node that starts at endIndex
-     */
-    private boolean isLatticeBrokenAfter(int endIndex, ViterbiLattice lattice) {
-        ViterbiNode[][] nodeStartIndices = lattice.getStartIndexArr();
-
-        return nodeStartIndices[endIndex] == null;
-    }
-
-    /**
-     * Tries to repair the lattice by creating and adding an additional Viterbi node to the LEFT of the newly
-     * inserted user dictionary entry by using the substring of the node in the lattice that overlaps the least
-     *
-     * @param lattice
-     * @param index
-     */
-    private void repairBrokenLatticeBefore(ViterbiLattice lattice, int index) {
-        ViterbiNode[][] nodeStartIndices = lattice.getStartIndexArr();
-
-        for (int startIndex = index; startIndex > 0; startIndex--) {
-            if (nodeStartIndices[startIndex] != null) {
-                ViterbiNode glueBase = findGlueNodeCandidate(index, nodeStartIndices[startIndex], startIndex);
-                if (glueBase != null) {
-                    int length = index + 1 - startIndex;
-                    String surface = glueBase.getSurface().substring(0, length);
-                    ViterbiNode glueNode = createGlueNode(startIndex, glueBase, surface);
-                    lattice.addNode(glueNode, startIndex, startIndex + glueNode.getSurface().length());
-                    return;
-                }
-            }
-        }
-    }
-
-    /**
-     * Tries to repair the lattice by creating and adding an additional Viterbi node to the RIGHT of the newly
-     * inserted user dictionary entry by using the substring of the node in the lattice that overlaps the least
-     *  @param lattice
-     * @param nodeEndIndex
-     */
-    private void repairBrokenLatticeAfter(ViterbiLattice lattice, int nodeEndIndex) {
-        ViterbiNode[][] nodeEndIndices = lattice.getEndIndexArr();
-
-        for (int endIndex = nodeEndIndex + 1; endIndex < nodeEndIndices.length; endIndex++) {
-            if (nodeEndIndices[endIndex] != null) {
-                ViterbiNode glueBase = findGlueNodeCandidate(nodeEndIndex, nodeEndIndices[endIndex], endIndex);
-                if (glueBase != null) {
-                    int delta = endIndex - nodeEndIndex;
-                    String glueBaseSurface = glueBase.getSurface();
-                    String surface = glueBaseSurface.substring(glueBaseSurface.length() - delta);
-                    ViterbiNode glueNode = createGlueNode(nodeEndIndex, glueBase, surface);
-                    lattice.addNode(glueNode, nodeEndIndex, nodeEndIndex + glueNode.getSurface().length());
-                    return;
-                }
-            }
-        }
-    }
-
-    /**
-     * Tries to locate a candidate for a "glue" node that repairs the broken lattice by looking at all nodes at the
-     * current index.
-     *
-     * @param index
-     * @param latticeNodes
-     * @param startIndex
-     * @return new ViterbiNode that can be inserted to glue the graph if such a node exists, else null
-     */
-    private ViterbiNode findGlueNodeCandidate(int index, ViterbiNode[] latticeNodes, int startIndex) {
-        List candidates = new ArrayList<>();
-
-        for (ViterbiNode viterbiNode : latticeNodes) {
-            if (viterbiNode != null) {
-                candidates.add(viterbiNode);
-            }
-        }
-        if (!candidates.isEmpty()) {
-            ViterbiNode glueBase = null;
-            int length = index + 1 - startIndex;
-            for (ViterbiNode candidate : candidates) {
-                if (isAcceptableCandidate(length, glueBase, candidate)) {
-                    glueBase = candidate;
-                }
-            }
-            if (glueBase != null) {
-                return glueBase;
-            }
-        }
-        return null;
-    }
-
-    /**
-     * Check whether a candidate for a glue node is acceptable.
-     * The candidate should be as short as possible, but long enough to overlap with the inserted user entry
-     *
-     * @param targetLength
-     * @param glueBase
-     * @param candidate
-     * @return whether candidate is acceptable
-     */
-    private boolean isAcceptableCandidate(int targetLength, ViterbiNode glueBase, ViterbiNode candidate) {
-        return (glueBase == null || candidate.getSurface().length() < glueBase.getSurface().length())
-                        && candidate.getSurface().length() >= targetLength;
-    }
-
-    /**
-     * Create a glue node to be inserted based on ViterbiNode already in the lattice.
-     * The new node takes the same parameters as the node it is based on, but the word is truncated to match the
-     * hole in the lattice caused by the new user entry
-     *
-     * @param startIndex
-     * @param glueBase
-     * @param surface
-     * @return new ViterbiNode to be inserted as glue into the lattice
-     */
-    private ViterbiNode createGlueNode(int startIndex, ViterbiNode glueBase, String surface) {
-        return new ViterbiNode(glueBase.getWordId(), surface, glueBase.getLeftId(), glueBase.getRightId(),
-                        glueBase.getWordCost(), startIndex, ViterbiNode.Type.INSERTED);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiFormatter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiFormatter.java
deleted file mode 100644
index a020b862e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiFormatter.java
+++ /dev/null
@@ -1,220 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.viterbi;
-
-import com.atilika.kuromoji.dict.ConnectionCosts;
-
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-
-public class ViterbiFormatter {
-
-    private final static String BOS_LABEL = "BOS";
-    private final static String EOS_LABEL = "EOS";
-    private final static String FONT_NAME = "Helvetica";
-
-    private ConnectionCosts costs;
-    private Map nodeMap;
-    private Map bestPathMap;
-
-    private boolean foundBOS;
-
-    public ViterbiFormatter(ConnectionCosts costs) {
-        this.costs = costs;
-        this.nodeMap = new HashMap<>();
-        this.bestPathMap = new HashMap<>();
-    }
-
-    public String format(ViterbiLattice lattice) {
-        return format(lattice, null);
-    }
-
-    public String format(ViterbiLattice lattice, List bestPath) {
-
-        initBestPathMap(bestPath);
-
-        StringBuilder builder = new StringBuilder();
-        builder.append(formatHeader());
-        builder.append(formatNodes(lattice));
-        builder.append(formatTrailer());
-        return builder.toString();
-
-    }
-
-    private void initBestPathMap(List bestPath) {
-        this.bestPathMap.clear();
-
-        if (bestPath == null) {
-            return;
-        }
-        for (int i = 0; i < bestPath.size() - 1; i++) {
-            ViterbiNode from = bestPath.get(i);
-            ViterbiNode to = bestPath.get(i + 1);
-
-            String fromId = getNodeId(from);
-            String toId = getNodeId(to);
-
-            assert this.bestPathMap.containsKey(fromId) == false;
-            assert this.bestPathMap.containsValue(toId) == false;
-            this.bestPathMap.put(fromId, toId);
-        }
-    }
-
-    private String formatNodes(ViterbiLattice lattice) {
-        ViterbiNode[][] startsArray = lattice.getStartIndexArr();
-        ViterbiNode[][] endsArray = lattice.getEndIndexArr();
-        this.nodeMap.clear();
-        this.foundBOS = false;
-
-        StringBuilder builder = new StringBuilder();
-        for (int i = 1; i < endsArray.length; i++) {
-            if (endsArray[i] == null || startsArray[i] == null) {
-                continue;
-            }
-            for (int j = 0; j < endsArray[i].length; j++) {
-                ViterbiNode from = endsArray[i][j];
-                if (from == null) {
-                    continue;
-                }
-                builder.append(formatNodeIfNew(from));
-                for (int k = 0; k < startsArray[i].length; k++) {
-                    ViterbiNode to = startsArray[i][k];
-                    if (to == null) {
-                        break;
-                    }
-                    builder.append(formatNodeIfNew(to));
-                    builder.append(formatEdge(from, to));
-                }
-            }
-        }
-        return builder.toString();
-    }
-
-    private String formatNodeIfNew(ViterbiNode node) {
-        String nodeId = getNodeId(node);
-        if (!this.nodeMap.containsKey(nodeId)) {
-            this.nodeMap.put(nodeId, node);
-            return formatNode(node);
-        } else {
-            return "";
-        }
-    }
-
-    private String formatHeader() {
-        StringBuilder builder = new StringBuilder();
-        builder.append("digraph viterbi {\n");
-        builder.append("graph [ fontsize=30 labelloc=\"t\" label=\"\" splines=true overlap=false rankdir = \"LR\" ];\n");
-        builder.append("# A2 paper size\n");
-        builder.append("size = \"34.4,16.5\";\n");
-        builder.append("# try to fill paper\n");
-        builder.append("ratio = fill;\n");
-        builder.append("edge [ fontname=\"" + FONT_NAME + "\" fontcolor=\"red\" color=\"#606060\" ]\n");
-        builder.append("node [ style=\"filled\" fillcolor=\"#e8e8f0\" shape=\"Mrecord\" fontname=\"" + FONT_NAME
-                        + "\" ]\n");
-
-        return builder.toString();
-    }
-
-    private String formatTrailer() {
-        return "}";
-    }
-
-
-    private String formatEdge(ViterbiNode from, ViterbiNode to) {
-        if (this.bestPathMap.containsKey(getNodeId(from))
-                        && this.bestPathMap.get(getNodeId(from)).equals(getNodeId(to))) {
-            return formatEdge(from, to, "color=\"#40e050\" fontcolor=\"#40a050\" penwidth=3 fontsize=20 ");
-
-        } else {
-            return formatEdge(from, to, "");
-        }
-    }
-
-
-    private String formatEdge(ViterbiNode from, ViterbiNode to, String attributes) {
-        StringBuilder builder = new StringBuilder();
-        builder.append(getNodeId(from));
-        builder.append(" -> ");
-        builder.append(getNodeId(to));
-        builder.append(" [ ");
-        builder.append("label=\"");
-        builder.append(getCost(from, to));
-        builder.append("\"");
-        builder.append(" ");
-        builder.append(attributes);
-        builder.append(" ");
-        builder.append(" ]");
-        builder.append("\n");
-        return builder.toString();
-    }
-
-    private String formatNode(ViterbiNode node) {
-        StringBuilder builder = new StringBuilder();
-        builder.append("\"");
-        builder.append(getNodeId(node));
-        builder.append("\"");
-        builder.append(" [ ");
-        builder.append("label=");
-        builder.append(formatNodeLabel(node));
-        if (node.getType() == ViterbiNode.Type.USER) {
-            builder.append(" fillcolor=\"#e8f8e8\"");
-        } else if (node.getType() == ViterbiNode.Type.UNKNOWN) {
-            builder.append(" fillcolor=\"#f8e8f8\"");
-        } else if (node.getType() == ViterbiNode.Type.INSERTED) {
-            builder.append(" fillcolor=\"#ffe8e8\"");
-        }
-        builder.append(" ]");
-        return builder.toString();
-    }
-
-    private String formatNodeLabel(ViterbiNode node) {
-        StringBuilder builder = new StringBuilder();
-        builder.append("<");
-        builder.append("");
-        builder.append("");
-        builder.append("
");
-        builder.append(getNodeLabel(node));
-        builder.append("
");
-        builder.append("");
-        builder.append(node.getWordCost());
-        builder.append("");
-        builder.append("
>");
-        return builder.toString();
-    }
-
-    private String getNodeId(ViterbiNode node) {
-        return String.valueOf(node.hashCode());
-    }
-
-    private String getNodeLabel(ViterbiNode node) {
-        if (node.getType() == ViterbiNode.Type.KNOWN && node.getWordId() == 0) {
-            if (this.foundBOS) {
-                return EOS_LABEL;
-            } else {
-                this.foundBOS = true;
-                return BOS_LABEL;
-            }
-        } else {
-            return node.getSurface();
-        }
-    }
-
-    private int getCost(ViterbiNode from, ViterbiNode to) {
-        return this.costs.get(from.getLeftId(), to.getRightId());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiLattice.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiLattice.java
deleted file mode 100644
index 406e5fa15..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiLattice.java
+++ /dev/null
@@ -1,97 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.viterbi;
-
-public class ViterbiLattice {
-
-    private static final String BOS = "BOS";
-    private static final String EOS = "EOS";
-
-    private final int dimension;
-    private final ViterbiNode[][] startIndexArr;
-    private final ViterbiNode[][] endIndexArr;
-    private final int[] startSizeArr;
-    private final int[] endSizeArr;
-
-    public ViterbiLattice(int dimension) {
-        this.dimension = dimension;
-        startIndexArr = new ViterbiNode[dimension][];
-        endIndexArr = new ViterbiNode[dimension][];
-        startSizeArr = new int[dimension];
-        endSizeArr = new int[dimension];
-    }
-
-    public ViterbiNode[][] getStartIndexArr() {
-        return startIndexArr;
-    }
-
-    public ViterbiNode[][] getEndIndexArr() {
-        return endIndexArr;
-    }
-
-    public int[] getStartSizeArr() {
-        return startSizeArr;
-    }
-
-    public int[] getEndSizeArr() {
-        return endSizeArr;
-    }
-
-    public void addBos() {
-        ViterbiNode bosNode = new ViterbiNode(-1, BOS, 0, 0, 0, -1, ViterbiNode.Type.KNOWN);
-        addNode(bosNode, 0, 1);
-    }
-
-    public void addEos() {
-        ViterbiNode eosNode = new ViterbiNode(-1, EOS, 0, 0, 0, dimension - 1, ViterbiNode.Type.KNOWN);
-        addNode(eosNode, dimension - 1, 0);
-    }
-
-    void addNode(ViterbiNode node, int start, int end) {
-        addNodeToArray(node, start, getStartIndexArr(), getStartSizeArr());
-        addNodeToArray(node, end, getEndIndexArr(), getEndSizeArr());
-    }
-
-    private void addNodeToArray(final ViterbiNode node, final int index, ViterbiNode[][] arr, int[] sizes) {
-        int count = sizes[index];
-
-        expandIfNeeded(index, arr, count);
-
-        arr[index][count] = node;
-        sizes[index] = count + 1;
-    }
-
-    private void expandIfNeeded(final int index, ViterbiNode[][] arr, final int count) {
-        if (count == 0) {
-            arr[index] = new ViterbiNode[10];
-        }
-
-        if (arr[index].length <= count) {
-            arr[index] = extendArray(arr[index]);
-        }
-    }
-
-    private ViterbiNode[] extendArray(ViterbiNode[] array) {
-        ViterbiNode[] newArray = new ViterbiNode[array.length * 2];
-        System.arraycopy(array, 0, newArray, 0, array.length);
-        return newArray;
-    }
-
-    boolean tokenEndsWhereCurrentTokenStarts(int startIndex) {
-        return getEndSizeArr()[startIndex + 1] != 0;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiNode.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiNode.java
deleted file mode 100644
index 95135f7c3..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiNode.java
+++ /dev/null
@@ -1,126 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.viterbi;
-
-import com.atilika.kuromoji.dict.Dictionary;
-
-public class ViterbiNode {
-
-    public enum Type {
-        KNOWN, UNKNOWN, USER, INSERTED
-    }
-
-    private final int wordId;
-    private final String surface;
-    private final int leftId;
-    private final int rightId;
-
-    /**
-     * word cost for this node
-     */
-    private final int wordCost;
-
-    /**
-     * minimum path cost found thus far
-     */
-    private int pathCost;
-    private ViterbiNode leftNode;
-    private final Type type;
-    private final int startIndex;
-
-    public ViterbiNode(int wordId, String surface, int leftId, int rightId, int wordCost, int startIndex, Type type) {
-        this.wordId = wordId;
-        this.surface = surface;
-        this.leftId = leftId;
-        this.rightId = rightId;
-        this.wordCost = wordCost;
-        this.startIndex = startIndex;
-        this.type = type;
-    }
-
-    public ViterbiNode(int wordId, String word, Dictionary dictionary, int startIndex, Type type) {
-        this(wordId, word, dictionary.getLeftId(wordId), dictionary.getRightId(wordId), dictionary.getWordCost(wordId),
-                        startIndex, type);
-    }
-
-    /**
-     * @return the wordId
-     */
-    public int getWordId() {
-        return wordId;
-    }
-
-    /**
-     * @return the surface
-     */
-    public String getSurface() {
-        return surface;
-    }
-
-    /**
-     * @return the leftId
-     */
-    public int getLeftId() {
-        return leftId;
-    }
-
-    /**
-     * @return the rightId
-     */
-    public int getRightId() {
-        return rightId;
-    }
-
-    /**
-     * @return the cost
-     */
-    public int getWordCost() {
-        return wordCost;
-    }
-
-    /**
-     * @return the cost
-     */
-    public int getPathCost() {
-        return pathCost;
-    }
-
-    /**
-     * param cost minimum path cost found this far
-     *
-     * @param pathCost  cost to set for this node
-     */
-    public void setPathCost(int pathCost) {
-        this.pathCost = pathCost;
-    }
-
-    public void setLeftNode(ViterbiNode node) {
-        leftNode = node;
-    }
-
-    public ViterbiNode getLeftNode() {
-        return leftNode;
-    }
-
-    public int getStartIndex() {
-        return startIndex;
-    }
-
-    public Type getType() {
-        return type;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiSearcher.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiSearcher.java
deleted file mode 100644
index 68a751450..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/viterbi/ViterbiSearcher.java
+++ /dev/null
@@ -1,185 +0,0 @@
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.viterbi;
-
-import com.atilika.kuromoji.TokenizerBase;
-import com.atilika.kuromoji.dict.ConnectionCosts;
-import com.atilika.kuromoji.dict.UnknownDictionary;
-
-import java.util.LinkedList;
-import java.util.List;
-
-public class ViterbiSearcher {
-
-    private static final int DEFAULT_COST = Integer.MAX_VALUE;
-
-    private final ConnectionCosts costs;
-    private final UnknownDictionary unknownDictionary;
-
-    private int kanjiPenaltyLengthTreshold;
-    private int otherPenaltyLengthThreshold;
-    private int kanjiPenalty;
-    private int otherPenalty;
-
-    private final TokenizerBase.Mode mode;
-
-    public ViterbiSearcher(TokenizerBase.Mode mode, ConnectionCosts costs, UnknownDictionary unknownDictionary,
-                    List penalties) {
-        if (!penalties.isEmpty()) {
-            this.kanjiPenaltyLengthTreshold = penalties.get(0);
-            this.kanjiPenalty = penalties.get(1);
-            this.otherPenaltyLengthThreshold = penalties.get(2);
-            this.otherPenalty = penalties.get(3);
-        }
-
-        this.mode = mode;
-        this.costs = costs;
-        this.unknownDictionary = unknownDictionary;
-    }
-
-    /**
-     * Find best path from input lattice.
-     *
-     * @param lattice the result of build method
-     * @return List of ViterbiNode which consist best path
-     */
-    public List search(ViterbiLattice lattice) {
-
-        ViterbiNode[][] endIndexArr = calculatePathCosts(lattice);
-        LinkedList result = backtrackBestPath(endIndexArr[0][0]);
-
-        return result;
-    }
-
-    private ViterbiNode[][] calculatePathCosts(ViterbiLattice lattice) {
-        ViterbiNode[][] startIndexArr = lattice.getStartIndexArr();
-        ViterbiNode[][] endIndexArr = lattice.getEndIndexArr();
-
-        for (int i = 1; i < startIndexArr.length; i++) {
-
-            if (startIndexArr[i] == null || endIndexArr[i] == null) { // continue since no array which contains ViterbiNodes exists. Or no previous node exists.
-                continue;
-            }
-
-            for (ViterbiNode node : startIndexArr[i]) {
-                if (node == null) { // If array doesn't contain ViterbiNode any more, continue to next index
-                    break;
-                }
-
-                updateNode(endIndexArr[i], node);
-            }
-        }
-        return endIndexArr;
-    }
-
-    private void updateNode(ViterbiNode[] viterbiNodes, ViterbiNode node) {
-        int backwardConnectionId = node.getLeftId();
-        int wordCost = node.getWordCost();
-        int leastPathCost = DEFAULT_COST;
-
-        for (ViterbiNode leftNode : viterbiNodes) {
-            // If array doesn't contain any more ViterbiNodes, continue to next index
-            if (leftNode == null) {
-                return;
-            } else {
-                // cost = [total cost from BOS to previous node] + [connection cost between previous node and current node] + [word cost]
-                int pathCost = leftNode.getPathCost() + costs.get(leftNode.getRightId(), backwardConnectionId)
-                                + wordCost;
-
-                // Add extra cost for long nodes in "Search mode".
-                if (mode == TokenizerBase.Mode.SEARCH || mode == TokenizerBase.Mode.EXTENDED) {
-                    pathCost += getPenaltyCost(node);
-                }
-
-                // If total cost is lower than before, set current previous node as best left node (previous means left).
-                if (pathCost < leastPathCost) {
-                    leastPathCost = pathCost;
-                    node.setPathCost(leastPathCost);
-                    node.setLeftNode(leftNode);
-                }
-            }
-        }
-    }
-
-    private int getPenaltyCost(ViterbiNode node) {
-        int pathCost = 0;
-        String surface = node.getSurface();
-        int length = surface.length();
-
-        if (length > kanjiPenaltyLengthTreshold) {
-            if (isKanjiOnly(surface)) { // Process only Kanji keywords
-                pathCost += (length - kanjiPenaltyLengthTreshold) * kanjiPenalty;
-            } else if (length > otherPenaltyLengthThreshold) {
-                pathCost += (length - otherPenaltyLengthThreshold) * otherPenalty;
-            }
-        }
-        return pathCost;
-    }
-
-    private boolean isKanjiOnly(String surface) {
-        for (int i = 0; i < surface.length(); i++) {
-            char c = surface.charAt(i);
-
-            if (Character.UnicodeBlock.of(c) != Character.UnicodeBlock.CJK_UNIFIED_IDEOGRAPHS) {
-                return false;
-            }
-        }
-        return true;
-    }
-
-    private LinkedList backtrackBestPath(ViterbiNode eos) {
-        ViterbiNode node = eos;
-        LinkedList result = new LinkedList<>();
-
-        result.add(node);
-
-        while (true) {
-            ViterbiNode leftNode = node.getLeftNode();
-
-            if (leftNode == null) {
-                break;
-            } else {
-                // Extended mode converts unknown word into unigram nodes
-                if (mode == TokenizerBase.Mode.EXTENDED && leftNode.getType() == ViterbiNode.Type.UNKNOWN) {
-                    LinkedList uniGramNodes = convertUnknownWordToUnigramNode(leftNode);
-                    result.addAll(uniGramNodes);
-                } else {
-                    result.addFirst(leftNode);
-                }
-                node = leftNode;
-            }
-        }
-        return result;
-    }
-
-    private LinkedList convertUnknownWordToUnigramNode(ViterbiNode node) {
-        LinkedList uniGramNodes = new LinkedList<>();
-        int unigramWordId = 0;
-        String surface = node.getSurface();
-
-        for (int i = surface.length(); i > 0; i--) {
-            String word = surface.substring(i - 1, i);
-            int startIndex = node.getStartIndex() + i - 1;
-
-            ViterbiNode uniGramNode = new ViterbiNode(unigramWordId, word, unknownDictionary, startIndex,
-                            ViterbiNode.Type.UNKNOWN);
-            uniGramNodes.addFirst(uniGramNode);
-        }
-
-        return uniGramNodes;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/org/deeplearning4j/nlp/japanese/tokenization/tokenizer/JapaneseTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/org/deeplearning4j/nlp/japanese/tokenization/tokenizer/JapaneseTokenizer.java
deleted file mode 100644
index 3ab43c4c8..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/org/deeplearning4j/nlp/japanese/tokenization/tokenizer/JapaneseTokenizer.java
+++ /dev/null
@@ -1,100 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.japanese.tokenization.tokenizer;
-
-import com.atilika.kuromoji.ipadic.Token;
-import com.atilika.kuromoji.ipadic.Tokenizer;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-
-import java.util.ArrayList;
-import java.util.List;
-import java.util.NoSuchElementException;
-
-/**
- * A thin wrapper for Japanese Morphological Analyzer Kuromoji (ver.0.9.0),
- * it tokenizes texts which is written in languages
- * that words are not separated by whitespaces.
- *
- * In thenory, Kuromoji is a language-independent Morphological Analyzer library,
- * so if you want to tokenize non-Japanese texts (Chinese, Korean etc.),
- * you can do it with MeCab style dictionary for each languages.
- */
-public class JapaneseTokenizer implements org.deeplearning4j.text.tokenization.tokenizer.Tokenizer {
-
-    private final List tokens;
-    private final boolean useBaseForm;
-    private final int tokenCount;
-    private int currentToken;
-    private TokenPreProcess preProcessor;
-
-
-    /**
-     * Tokenize the string with Kuromoji, optionally using baseForms.
-     *
-     * Note: It is safe to create new instances from multiple threads.
-     * @param kuromoji The kuromoji instance.
-     * @param toTokenize The string to tokenize.
-     * @param useBaseForm normalize conjugations "走った" -> "走る" instead of "走っ"
-     */
-    public JapaneseTokenizer(Tokenizer kuromoji, String toTokenize, boolean useBaseForm) {
-        this.useBaseForm = useBaseForm;
-        this.tokens = kuromoji.tokenize(toTokenize);
-        this.tokenCount = this.tokens.size();
-        this.currentToken = 0;
-    }
-
-    @Override
-    public boolean hasMoreTokens() {
-        return currentToken < tokenCount;
-    }
-
-    @Override
-    public int countTokens() {
-        return tokenCount;
-    }
-
-    private String getToken(int i) {
-        Token t = tokens.get(i);
-        String ret = (useBaseForm) ? t.getBaseForm() : t.getSurface();
-        return (preProcessor == null) ? ret : preProcessor.preProcess(ret);
-    }
-
-    @Override
-    public String nextToken() {
-        if (!hasMoreTokens()) {
-            throw new NoSuchElementException();
-        }
-        return getToken(currentToken++);
-    }
-
-    @Override
-    public List getTokens() {
-        List ret = new ArrayList<>(tokenCount);
-
-        for (int i = 0; i < tokenCount; i++) {
-            ret.add(getToken(i));
-        }
-
-        return ret;
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess tokenPreProcessor) {
-        this.preProcessor = tokenPreProcessor;
-    }
-}
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/org/deeplearning4j/nlp/japanese/tokenization/tokenizerfactory/JapaneseTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/org/deeplearning4j/nlp/japanese/tokenization/tokenizerfactory/JapaneseTokenizerFactory.java
deleted file mode 100644
index 58ee50742..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/org/deeplearning4j/nlp/japanese/tokenization/tokenizerfactory/JapaneseTokenizerFactory.java
+++ /dev/null
@@ -1,110 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.japanese.tokenization.tokenizerfactory;
-
-import org.deeplearning4j.nlp.japanese.tokenization.tokenizer.JapaneseTokenizer;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-
-import java.io.InputStream;
-
-/**
- * Tokenizer Factory for Japanese based on Kuromoji.
- */
-public class JapaneseTokenizerFactory implements TokenizerFactory {
-    private final com.atilika.kuromoji.ipadic.Tokenizer kuromoji;
-    private final boolean useBaseForm;
-    private TokenPreProcess preProcessor;
-
-
-    /**
-     * Creates a factory that uses the defaults for Kuromoji.
-     */
-    public JapaneseTokenizerFactory() {
-        this(new com.atilika.kuromoji.ipadic.Tokenizer.Builder(), false);
-    }
-
-    /**
-     * Creates a factory that uses the Kuomoji defaults but returns normalized/stemmed "baseForm" tokens.
-     * @param useBaseForm normalize conjugations "走った" -> "走る" instead of "走っ"
-     */
-    public JapaneseTokenizerFactory(boolean useBaseForm) {
-        this(new com.atilika.kuromoji.ipadic.Tokenizer.Builder(), useBaseForm);
-    }
-
-    /**
-     * Create a factory using the supplied Kuromoji configuration.  Use this for setting custom dictionaries or modes.
-     * @param builder The Kuromoji Tokenizer builder with your configuration in place.
-     */
-    public JapaneseTokenizerFactory(com.atilika.kuromoji.ipadic.Tokenizer.Builder builder) {
-        this(builder, false);
-    }
-
-    /**
-     * Create a factory using the supplied Kuromoji configuration.  Use this for setting custom dictionaries or modes.
-     * @param builder The Kuromoji Tokenizer builder with your configuration in place.
-     * @param baseForm normalize conjugations "走った" -> "走る" instead of "走っ"
-     */
-    public JapaneseTokenizerFactory(com.atilika.kuromoji.ipadic.Tokenizer.Builder builder, boolean baseForm) {
-        kuromoji = builder.build();
-        useBaseForm = baseForm;
-    }
-
-    /**
-     * Create a Tokenizer instance for the given sentence.
-     *
-     * Note: This method is thread-safe.
-     * @param toTokenize the string to tokenize.
-     * @return The tokenizer.
-     */
-    @Override
-    public Tokenizer create(String toTokenize) {
-        if (toTokenize.isEmpty()) {
-            throw new IllegalArgumentException("Unable to proceed; no sentence to tokenize");
-        }
-
-        Tokenizer t = new JapaneseTokenizer(kuromoji, toTokenize, useBaseForm);
-
-        if (preProcessor != null) {
-            t.setTokenPreProcessor(preProcessor);
-        }
-
-        return t;
-    }
-
-    /**
-     * InputStreams are currently unsupported.
-     * @param toTokenize the string to tokenize.
-     */
-    @Override
-    public Tokenizer create(InputStream toTokenize) {
-        throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess preProcessor) {
-        this.preProcessor = preProcessor;
-    }
-
-    @Override
-    public TokenPreProcess getTokenPreProcessor() {
-        return this.preProcessor;
-    }
-
-}
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/AssertTestsExtendBaseClass.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/AssertTestsExtendBaseClass.java
deleted file mode 100644
index 146e77e88..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/AssertTestsExtendBaseClass.java
+++ /dev/null
@@ -1,53 +0,0 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-import com.atilika.kuromoji.TestUtils;
-import com.atilika.kuromoji.ipadic.RandomizedInputTest;
-import lombok.extern.slf4j.Slf4j;
-import java.util.*;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.nd4j.common.tests.AbstractAssertTestsClass;
-
-/**
-  * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
-  * extends BaseDl4JTest - either directly or indirectly.
-  * Other than a small set of exceptions, all tests must extend this
-  *
-  * @author Alex Black
-  * @author Alexander Stoyakin
-  */
-@Slf4j
-public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass {
-
-        @Override
-        protected Set> getExclusions() {
-            Set> exclusions = new HashSet<>();
-            exclusions.add(TestUtils.class);
-            exclusions.add(RandomizedInputTest.class);
-            return exclusions;
-        }
-
-        @Override
-        protected String getPackageName() {
-            return "org.deeplearning4j";
-        }
-
-    @Override
-    protected Class getBaseClass() {
-        return BaseDL4JTest.class;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/CommonCornerCasesTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/CommonCornerCasesTest.java
deleted file mode 100644
index 1d23baab6..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/CommonCornerCasesTest.java
+++ /dev/null
@@ -1,50 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji;
-
-import org.deeplearning4j.BaseDL4JTest;
-
-import java.util.Arrays;
-
-import static com.atilika.kuromoji.TestUtils.assertTokenSurfacesEquals;
-
-public class CommonCornerCasesTest extends BaseDL4JTest {
-
-    public static void testPunctuation(TokenizerBase tokenizer) {
-        String gerryNoHanaNoHanashi = "僕の鼻はちょっと\r\n長いよ。";
-
-        assertTokenSurfacesEquals(Arrays.asList("僕", "の", "鼻", "は", "ちょっと", "\r", "\n", "長い", "よ", "。"),
-
-                        tokenizer.tokenize(gerryNoHanaNoHanashi));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/TestUtils.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/TestUtils.java
deleted file mode 100644
index 3cafff4e2..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/TestUtils.java
+++ /dev/null
@@ -1,160 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.nio.charset.StandardCharsets;
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
-
-import static org.junit.Assert.*;
-
-public class TestUtils {
-
-    public static void assertTokenSurfacesEquals(List expectedSurfaces,
-                    List actualTokens) {
-        List actualSurfaces = new ArrayList<>();
-
-        for (TokenBase token : actualTokens) {
-            actualSurfaces.add(token.getSurface());
-        }
-
-        assertEquals(expectedSurfaces, actualSurfaces);
-    }
-
-    public static void assertCanTokenizeStream(InputStream untokenizedInput, TokenizerBase tokenizer)
-                    throws IOException {
-        BufferedReader untokenizedInputReader =
-                        new BufferedReader(new InputStreamReader(untokenizedInput, StandardCharsets.UTF_8));
-
-        String untokenizedLine;
-
-        while ((untokenizedLine = untokenizedInputReader.readLine()) != null) {
-            assertCanTokenizeString(untokenizedLine, tokenizer);
-        }
-
-        assertTrue(true);
-    }
-
-    public static void assertCanTokenizeString(String input, TokenizerBase tokenizer) {
-        List tokens = tokenizer.tokenize(input);
-
-        if (input.length() > 0) {
-            assertFalse(tokens.isEmpty());
-        } else {
-            assertTrue(tokens.isEmpty());
-        }
-    }
-
-    public static void assertTokenizedStreamEquals(InputStream tokenizedInput, InputStream untokenizedInput,
-                    TokenizerBase tokenizer) throws IOException {
-        BufferedReader untokenizedInputReader =
-                        new BufferedReader(new InputStreamReader(untokenizedInput, StandardCharsets.UTF_8));
-        BufferedReader tokenizedInputReader =
-                        new BufferedReader(new InputStreamReader(tokenizedInput, StandardCharsets.UTF_8));
-
-        String untokenizedLine;
-
-        while ((untokenizedLine = untokenizedInputReader.readLine()) != null) {
-            List tokens = tokenizer.tokenize(untokenizedLine);
-
-            for (TokenBase token : tokens) {
-                String tokenLine = tokenizedInputReader.readLine();
-
-                assertNotNull(tokenLine);
-
-                // TODO: Verify if this tab handling is correct...
-                String[] parts = tokenLine.split("\\t", 2);
-                String surface = parts[0];
-                String features = parts[1];
-
-                assertEquals(surface, token.getSurface());
-                assertEquals(features, token.getAllFeatures());
-            }
-        }
-    }
-
-    public static void assertMultiThreadedTokenizedStreamEquals(int numThreads, final int perThreadRuns,
-                    final String tokenizedInputResource, final String untokenizedInputResource,
-                    final TokenizerBase tokenizer) throws IOException, InterruptedException {
-        List threads = new ArrayList<>();
-
-        for (int i = 0; i < numThreads; i++) {
-            Thread thread = new Thread(new Runnable() {
-                @Override
-                public void run() {
-                    for (int run = 0; run < perThreadRuns; run++) {
-
-                        //                            System.out.println(Thread.currentThread().getName() + ": tokenizer run " + run);
-
-                        try {
-                            InputStream tokenizedInput = getClass().getResourceAsStream(tokenizedInputResource);
-                            InputStream untokenizedInput = getClass().getResourceAsStream(untokenizedInputResource);
-
-                            assertTokenizedStreamEquals(tokenizedInput, untokenizedInput, tokenizer);
-
-                            untokenizedInput.close();
-                            tokenizedInput.close();
-                        } catch (IOException e) {
-                            fail(e.getMessage());
-                        }
-                    }
-                }
-            });
-            threads.add(thread);
-            thread.start();
-        }
-
-        for (Thread thread : threads) {
-            thread.join();
-        }
-
-        assertTrue(true);
-    }
-
-    public static void assertEqualTokenFeatureLengths(String text, TokenizerBase tokenizer) {
-        List tokens = tokenizer.tokenize(text);
-        Set lengths = new HashSet<>();
-
-        for (TokenBase token : tokens) {
-            lengths.add(token.getAllFeaturesArray().length);
-        }
-
-        assertEquals(1, lengths.size());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/buffer/StringValueMapBufferTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/buffer/StringValueMapBufferTest.java
deleted file mode 100644
index 265f4faf4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/buffer/StringValueMapBufferTest.java
+++ /dev/null
@@ -1,58 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.buffer;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import java.util.TreeMap;
-
-import static org.junit.Assert.assertEquals;
-
-public class StringValueMapBufferTest extends BaseDL4JTest {
-
-    @Test
-    public void testInsertIntoMap() throws Exception {
-        TreeMap input = new TreeMap<>();
-
-        input.put(1, "hello");
-        input.put(2, "日本");
-        input.put(0, "Bye");
-
-        StringValueMapBuffer values = new StringValueMapBuffer(input);
-
-        assertEquals("Bye", values.get(0));
-        assertEquals("hello", values.get(1));
-        assertEquals("日本", values.get(2));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/CharacterDefinitionsCompilerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/CharacterDefinitionsCompilerTest.java
deleted file mode 100644
index 2e077eef6..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/CharacterDefinitionsCompilerTest.java
+++ /dev/null
@@ -1,128 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.dict.CharacterDefinitions;
-import com.atilika.kuromoji.io.IntegerArrayIO;
-import com.atilika.kuromoji.io.StringArrayIO;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Before;
-import org.junit.Test;
-
-import java.io.*;
-import java.util.Arrays;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-
-import static org.junit.Assert.*;
-
-public class CharacterDefinitionsCompilerTest extends BaseDL4JTest {
-
-    private File charDef;
-
-    private Map categoryIdMap;
-
-    private CharacterDefinitions characterDefinition;
-
-    @Before
-    public void setUp() throws IOException {
-        charDef = File.createTempFile("kuromoji-chardef-", ".bin");
-        charDef.deleteOnExit();
-
-        CharacterDefinitionsCompiler compiler =
-                        new CharacterDefinitionsCompiler(new BufferedOutputStream(new FileOutputStream(charDef)));
-        compiler.readCharacterDefinition(new BufferedInputStream(
-                        CharacterDefinitionsCompilerTest.class.getClassLoader().getResourceAsStream("deeplearning4j-nlp-japanese/char.def")),
-                        "euc-jp");
-        categoryIdMap = invert(compiler.makeCharacterCategoryMap());
-        compiler.compile();
-
-        InputStream input = new BufferedInputStream(new FileInputStream(charDef));
-
-        int[][] definitions = IntegerArrayIO.readSparseArray2D(input);
-        int[][] mappings = IntegerArrayIO.readSparseArray2D(input);
-        String[] symbols = StringArrayIO.readArray(input);
-
-        characterDefinition = new CharacterDefinitions(definitions, mappings, symbols);
-    }
-
-    @Test
-    public void testCharacterCategories() throws IOException {
-        // Non-defined characters get the default definition
-        assertCharacterCategories(characterDefinition, '\u0000', "DEFAULT");
-        assertCharacterCategories(characterDefinition, '〇', "SYMBOL", "KANJI", "KANJINUMERIC");
-        assertCharacterCategories(characterDefinition, ' ', "SPACE");
-        assertCharacterCategories(characterDefinition, '。', "SYMBOL");
-        assertCharacterCategories(characterDefinition, 'A', "ALPHA");
-        assertCharacterCategories(characterDefinition, 'Ａ', "ALPHA");
-    }
-
-    @Test
-    public void testAddCategoryDefinitions() {
-        assertCharacterCategories(characterDefinition, '・', "KATAKANA");
-
-        characterDefinition.setCategories('・', new String[] {"SYMBOL", "KATAKANA"});
-
-        assertCharacterCategories(characterDefinition, '・', "KATAKANA", "SYMBOL");
-        assertCharacterCategories(characterDefinition, '・', "SYMBOL", "KATAKANA");
-    }
-
-    public void assertCharacterCategories(CharacterDefinitions characterDefinition, char c, String... categories) {
-        int[] categoryIds = characterDefinition.lookupCategories(c);
-
-        if (categoryIds == null) {
-            assertNull(categories);
-            return;
-        }
-
-        assertEquals(categories.length, categoryIds.length);
-
-        List categoryList = Arrays.asList(categories);
-
-        for (int categoryId : categoryIds) {
-            String category = categoryIdMap.get(categoryId);
-            assertTrue(categoryList.contains(category));
-        }
-    }
-
-    private static Map invert(Map map) {
-        Map inverted = new HashMap<>();
-
-        for (String key : map.keySet()) {
-            inverted.put(map.get(key), key);
-        }
-
-        return inverted;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/ConnectionCostsCompilerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/ConnectionCostsCompilerTest.java
deleted file mode 100644
index 516535e42..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/ConnectionCostsCompilerTest.java
+++ /dev/null
@@ -1,84 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.dict.ConnectionCosts;
-import com.atilika.kuromoji.io.ByteBufferIO;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.BeforeClass;
-import org.junit.Test;
-
-import java.io.*;
-import java.nio.ShortBuffer;
-import java.nio.charset.StandardCharsets;
-
-import static org.junit.Assert.assertEquals;
-
-public class ConnectionCostsCompilerTest extends BaseDL4JTest {
-
-    private static ConnectionCosts connectionCosts;
-
-    @BeforeClass
-    public static void setUp() throws IOException {
-        File costsFile = File.createTempFile("kuromoji-connectioncosts-", ".bin");
-        costsFile.deleteOnExit();
-
-        String costs = "" + "3 3\n" + "0 0 1\n" + "0 1 2\n" + "0 2 3\n" + "1 0 4\n" + "1 1 5\n" + "1 2 6\n" + "2 0 7\n"
-                        + "2 1 8\n" + "2 2 9\n";
-
-        ConnectionCostsCompiler compiler = new ConnectionCostsCompiler(new FileOutputStream(costsFile));
-
-        compiler.readCosts(new ByteArrayInputStream(costs.getBytes(StandardCharsets.UTF_8)));
-
-        compiler.compile();
-
-        DataInputStream dataInput = new DataInputStream(new FileInputStream(costsFile));
-
-        int size = dataInput.readInt();
-        ShortBuffer costsBuffer = ByteBufferIO.read(dataInput).asShortBuffer();
-        dataInput.close();
-
-        connectionCosts = new ConnectionCosts(size, costsBuffer);
-    }
-
-    @Test
-    public void testCosts() {
-        int cost = 1;
-
-        for (int i = 0; i < 3; i++) {
-            for (int j = 0; j < 3; j++) {
-                assertEquals(cost++, connectionCosts.get(i, j));
-            }
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/TokenInfoBufferCompilerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/TokenInfoBufferCompilerTest.java
deleted file mode 100644
index abda8710d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/TokenInfoBufferCompilerTest.java
+++ /dev/null
@@ -1,167 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.buffer.BufferEntry;
-import com.atilika.kuromoji.buffer.TokenInfoBuffer;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileOutputStream;
-import java.nio.ByteBuffer;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-
-import static org.junit.Assert.assertEquals;
-
-public class TokenInfoBufferCompilerTest extends BaseDL4JTest {
-
-    @Test
-    public void testReadAndWriteFromBuffer() throws Exception {
-        List shorts = new ArrayList<>();
-
-        for (int i = 0; i < 10; i++) {
-            shorts.add((short) i);
-        }
-
-        ByteBuffer buffer = ByteBuffer.allocate(shorts.size() * 2 + 2);
-
-        buffer.putShort((short) shorts.size());
-
-        for (Short s : shorts) {
-            buffer.putShort(s);
-        }
-
-        buffer.position(0);
-
-        short count = buffer.getShort();
-
-        List readShorts = new ArrayList<>();
-
-        for (int i = 0; i < count; i++) {
-            readShorts.add(buffer.getShort());
-        }
-
-        for (int i = 0; i < shorts.size(); i++) {
-            assertEquals(readShorts.get(i), shorts.get(i));
-        }
-    }
-
-    @Test
-    public void testReadAndLookUpTokenInfo() throws Exception {
-        List tokenInfo = new ArrayList<>();
-        List features = new ArrayList<>();
-
-        short[] tokenInfos = new short[3];
-        tokenInfos[0] = 1;
-        tokenInfos[1] = 2;
-        tokenInfos[2] = 3;
-
-        int[] featureInfos = new int[2];
-        featureInfos[0] = 73;
-        featureInfos[1] = 99;
-
-        tokenInfo.add((short) 1);
-        tokenInfo.add((short) 2);
-        tokenInfo.add((short) 3);
-
-        features.add(73);
-        features.add(99);
-
-        BufferEntry entry = new BufferEntry();
-        entry.tokenInfo = tokenInfo;
-        entry.features = features;
-
-        entry.tokenInfos = tokenInfos;
-        entry.featureInfos = featureInfos;
-
-        List bufferEntries = new ArrayList<>();
-        bufferEntries.add(entry);
-
-        File file = File.createTempFile("kuromoji-tokeinfo-buffer-", ".bin");
-        file.deleteOnExit();
-
-        TokenInfoBufferCompiler compiler = new TokenInfoBufferCompiler(new FileOutputStream(file), bufferEntries);
-
-        compiler.compile();
-
-        TokenInfoBuffer tokenInfoBuffer2 = new TokenInfoBuffer(new FileInputStream(file));
-
-        assertEquals(99, tokenInfoBuffer2.lookupFeature(0, 1));
-        assertEquals(73, tokenInfoBuffer2.lookupFeature(0, 0));
-    }
-
-    @Test
-    public void testCompleteLookUp() throws Exception {
-        Map resultMap = new HashMap<>();
-
-        resultMap.put(73, "hello");
-        resultMap.put(42, "今日は");
-        resultMap.put(99, "素敵な世界");
-
-        List tokenInfo = new ArrayList<>();
-        List features = new ArrayList<>();
-
-        tokenInfo.add((short) 1);
-        tokenInfo.add((short) 2);
-        tokenInfo.add((short) 3);
-
-        features.add(73);
-        features.add(99);
-
-        BufferEntry entry = new BufferEntry();
-        entry.tokenInfo = tokenInfo;
-        entry.features = features;
-
-        List bufferEntries = new ArrayList<>();
-        bufferEntries.add(entry);
-
-        File file = File.createTempFile("kuromoji-tokeinfo-buffer-", ".bin");
-        file.deleteOnExit();
-
-        TokenInfoBufferCompiler compiler = new TokenInfoBufferCompiler(new FileOutputStream(file), bufferEntries);
-
-        compiler.compile();
-
-        TokenInfoBuffer tokenInfoBuffer2 = new TokenInfoBuffer(new FileInputStream(file));
-
-        BufferEntry result = tokenInfoBuffer2.lookupEntry(0);
-
-        assertEquals("hello", resultMap.get(result.featureInfos[0]));
-        assertEquals("素敵な世界", resultMap.get(result.featureInfos[1]));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/UnknownDictionaryCompilerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/UnknownDictionaryCompilerTest.java
deleted file mode 100644
index 3156e47a3..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/UnknownDictionaryCompilerTest.java
+++ /dev/null
@@ -1,145 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.dict.CharacterDefinitions;
-import com.atilika.kuromoji.dict.UnknownDictionary;
-import com.atilika.kuromoji.io.IntegerArrayIO;
-import com.atilika.kuromoji.io.StringArrayIO;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.BeforeClass;
-import org.junit.Test;
-
-import java.io.*;
-import java.util.Map;
-
-import static org.junit.Assert.assertArrayEquals;
-import static org.junit.Assert.assertEquals;
-
-public class UnknownDictionaryCompilerTest extends BaseDL4JTest {
-
-    private static UnknownDictionary unknownDictionary;
-
-    private static CharacterDefinitions characterDefinitions;
-
-    private static int[][] costs;
-
-    private static int[][] references;
-
-    private static String[][] features;
-
-    @BeforeClass
-    public static void setUp() throws IOException {
-        File charDef = File.createTempFile("kuromoji-chardef-", ".bin");
-        charDef.deleteOnExit();
-
-        CharacterDefinitionsCompiler charDefCompiler =
-                        new CharacterDefinitionsCompiler(new BufferedOutputStream(new FileOutputStream(charDef)));
-        charDefCompiler.readCharacterDefinition(new BufferedInputStream(
-                        CharacterDefinitionsCompilerTest.class.getClassLoader().getResourceAsStream("deeplearning4j-nlp-japanese/char.def")),
-                        "euc-jp");
-        charDefCompiler.compile();
-
-        Map categoryMap = charDefCompiler.makeCharacterCategoryMap();
-
-        File unkDef = File.createTempFile("kuromoji-unkdef-", ".bin");
-        unkDef.deleteOnExit();
-
-        UnknownDictionaryCompiler unkDefCompiler =
-                        new UnknownDictionaryCompiler(categoryMap, new FileOutputStream(unkDef));
-
-        unkDefCompiler.readUnknownDefinition(new BufferedInputStream(
-                        UnknownDictionaryCompilerTest.class.getClassLoader().getResourceAsStream("deeplearning4j-nlp-japanese/unk.def")), "euc-jp");
-
-        unkDefCompiler.compile();
-
-        InputStream charDefInput = new BufferedInputStream(new FileInputStream(charDef));
-
-        int[][] definitions = IntegerArrayIO.readSparseArray2D(charDefInput);
-        int[][] mappings = IntegerArrayIO.readSparseArray2D(charDefInput);
-        String[] symbols = StringArrayIO.readArray(charDefInput);
-
-        characterDefinitions = new CharacterDefinitions(definitions, mappings, symbols);
-
-        InputStream unkDefInput = new BufferedInputStream(new FileInputStream(unkDef));
-
-        costs = IntegerArrayIO.readArray2D(unkDefInput);
-        references = IntegerArrayIO.readArray2D(unkDefInput);
-        features = StringArrayIO.readArray2D(unkDefInput);
-
-        unknownDictionary = new UnknownDictionary(characterDefinitions, references, costs, features);
-
-    }
-
-    @Test
-    public void testCostsAndFeatures() {
-        int[] categories = characterDefinitions.lookupCategories('一');
-
-        // KANJI & KANJINUMERIC
-        assertEquals(2, categories.length);
-
-        assertArrayEquals(new int[] {5, 6}, categories);
-
-        // KANJI entries
-        assertArrayEquals(new int[] {2, 3, 4, 5, 6, 7}, unknownDictionary.lookupWordIds(categories[0]));
-
-        // KANJI feature variety
-        assertArrayEquals(new String[] {"名詞", "一般", "*", "*", "*", "*", "*"}, unknownDictionary.getAllFeaturesArray(2));
-
-        assertArrayEquals(new String[] {"名詞", "サ変接続", "*", "*", "*", "*", "*"},
-                        unknownDictionary.getAllFeaturesArray(3));
-
-        assertArrayEquals(new String[] {"名詞", "固有名詞", "地域", "一般", "*", "*", "*"},
-                        unknownDictionary.getAllFeaturesArray(4));
-
-        assertArrayEquals(new String[] {"名詞", "固有名詞", "組織", "*", "*", "*", "*"},
-                        unknownDictionary.getAllFeaturesArray(5));
-
-        assertArrayEquals(new String[] {"名詞", "固有名詞", "人名", "一般", "*", "*", "*"},
-                        unknownDictionary.getAllFeaturesArray(6));
-
-        assertArrayEquals(new String[] {"名詞", "固有名詞", "人名", "一般", "*", "*", "*"},
-                        unknownDictionary.getAllFeaturesArray(6));
-
-        // KANJINUMERIC entry
-        assertArrayEquals(new int[] {29}, unknownDictionary.lookupWordIds(categories[1]));
-
-        // KANJINUMERIC costs
-        assertEquals(1295, unknownDictionary.getLeftId(29));
-        assertEquals(1295, unknownDictionary.getRightId(29));
-        assertEquals(27473, unknownDictionary.getWordCost(29));
-
-        // KANJINUMERIC features
-        assertArrayEquals(new String[] {"名詞", "数", "*", "*", "*", "*", "*"}, unknownDictionary.getAllFeaturesArray(29));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/WordIdMapCompilerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/WordIdMapCompilerTest.java
deleted file mode 100644
index 6edb8f541..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/compile/WordIdMapCompilerTest.java
+++ /dev/null
@@ -1,80 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.compile;
-
-import com.atilika.kuromoji.buffer.WordIdMap;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import java.io.*;
-import java.util.Arrays;
-
-import static org.junit.Assert.assertEquals;
-
-public class WordIdMapCompilerTest extends BaseDL4JTest {
-
-    @Test
-    public void testGrowableArray() {
-        WordIdMapCompiler.GrowableIntArray array = new WordIdMapCompiler.GrowableIntArray(5);
-        array.set(3, 1);
-        assertEquals("[0, 0, 0, 1]", Arrays.toString(array.getArray()));
-        array.set(0, 2);
-        array.set(10, 3);
-        assertEquals("[2, 0, 0, 1, 0, 0, 0, 0, 0, 0, 3]", Arrays.toString(array.getArray()));
-    }
-
-    @Test
-    public void testCompiler() throws IOException {
-        WordIdMapCompiler compiler = new WordIdMapCompiler();
-        compiler.addMapping(3, 1);
-        compiler.addMapping(3, 2);
-        compiler.addMapping(3, 3);
-        compiler.addMapping(10, 0);
-
-        File file = File.createTempFile("kuromoji-wordid-", ".bin");
-        file.deleteOnExit();
-
-        OutputStream output = new BufferedOutputStream(new FileOutputStream(file));
-
-        compiler.write(output);
-        output.close();
-
-        InputStream input = new BufferedInputStream(new FileInputStream(file));
-
-        WordIdMap wordIds = new WordIdMap(input);
-
-        assertEquals("[1, 2, 3]", Arrays.toString(wordIds.lookUp(3)));
-        assertEquals("[0]", Arrays.toString(wordIds.lookUp(10)));
-        assertEquals("[]", Arrays.toString(wordIds.lookUp(1)));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/dict/InsertedDictionaryTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/dict/InsertedDictionaryTest.java
deleted file mode 100644
index eae973831..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/dict/InsertedDictionaryTest.java
+++ /dev/null
@@ -1,55 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import static org.junit.Assert.assertArrayEquals;
-import static org.junit.Assert.assertEquals;
-
-public class InsertedDictionaryTest extends BaseDL4JTest {
-
-    @Test
-    public void testFeatureSize() {
-        InsertedDictionary dictionary1 = new InsertedDictionary(9);
-        InsertedDictionary dictionary2 = new InsertedDictionary(5);
-
-        assertEquals("*,*,*,*,*,*,*,*,*", dictionary1.getAllFeatures(0));
-        assertEquals("*,*,*,*,*", dictionary2.getAllFeatures(0));
-
-        assertArrayEquals(new String[] {"*", "*", "*", "*", "*", "*", "*", "*", "*"},
-                        dictionary1.getAllFeaturesArray(0));
-        assertArrayEquals(new String[] {"*", "*", "*", "*", "*"}, dictionary2.getAllFeaturesArray(0));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/dict/UserDictionaryTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/dict/UserDictionaryTest.java
deleted file mode 100644
index fb8980305..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/dict/UserDictionaryTest.java
+++ /dev/null
@@ -1,134 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.dict;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-import org.nd4j.common.io.ClassPathResource;
-
-import java.io.ByteArrayInputStream;
-import java.io.IOException;
-import java.io.InputStream;
-import java.nio.charset.StandardCharsets;
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-
-public class UserDictionaryTest extends BaseDL4JTest {
-
-    @Test
-    public void testLookup() throws IOException {
-        UserDictionary dictionary = new UserDictionary(getResource("deeplearning4j-nlp-japanese/userdict.txt"), 9, 7, 0);
-
-        List matches = dictionary.findUserDictionaryMatches("関西国際空港に行った");
-
-        // Length should be three 関西, 国際, 空港
-        assertEquals(3, matches.size());
-
-        // Test positions
-        assertEquals(0, matches.get(0).getMatchStartIndex()); // index of 関西
-        assertEquals(2, matches.get(1).getMatchStartIndex()); // index of 国際
-        assertEquals(4, matches.get(2).getMatchStartIndex()); // index of 空港
-
-        // Test lengths
-        assertEquals(2, matches.get(0).getMatchLength()); // length of 関西
-        assertEquals(2, matches.get(1).getMatchLength()); // length of 国際
-        assertEquals(2, matches.get(2).getMatchLength()); // length of 空港
-
-        List matches2 = dictionary.findUserDictionaryMatches("関西国際空港と関西国際空港に行った");
-        assertEquals(6, matches2.size());
-    }
-
-    @Test
-    public void testIpadicFeatures() throws IOException {
-        UserDictionary dictionary = new UserDictionary(getResource("deeplearning4j-nlp-japanese/userdict.txt"), 9, 7, 0);
-
-        assertEquals("カスタム名詞,*,*,*,*,*,*,ニホン,*", dictionary.getAllFeatures(100000000));
-    }
-
-    @Test
-    public void testJumanDicFeatures() throws IOException {
-        UserDictionary dictionary = new UserDictionary(getResource("deeplearning4j-nlp-japanese/userdict.txt"), 7, 5, 0);
-
-        assertEquals("カスタム名詞,*,*,*,*,ニホン,*", dictionary.getAllFeatures(100000000));
-    }
-
-    @Test
-    public void testNaistJDicFeatures() throws IOException {
-        UserDictionary dictionary = new UserDictionary(getResource("deeplearning4j-nlp-japanese/userdict.txt"), 11, 7, 0);
-        // This is a sample naist-jdic entry:
-        //
-        //   葦登,1358,1358,4975,名詞,一般,*,*,*,*,葦登,ヨシノボリ,ヨシノボリ,,
-        //
-        // How should we treat the last features in the user dictionary?  They seem empty, but we return * for them...
-        assertEquals("カスタム名詞,*,*,*,*,*,*,ニホン,*,*,*", dictionary.getAllFeatures(100000000));
-    }
-
-    @Test
-    public void testUniDicFeatures() throws IOException {
-        UserDictionary dictionary = new UserDictionary(getResource("deeplearning4j-nlp-japanese/userdict.txt"), 13, 7, 0);
-
-        assertEquals("カスタム名詞,*,*,*,*,*,*,ニホン,*,*,*,*,*", dictionary.getAllFeatures(100000000));
-    }
-
-    @Test
-    public void testUniDicExtendedFeatures() throws IOException {
-        UserDictionary dictionary = new UserDictionary(getResource("deeplearning4j-nlp-japanese/userdict.txt"), 22, 13, 0);
-
-        assertEquals("カスタム名詞,*,*,*,*,*,*,*,*,*,*,*,*,ニホン,*,*,*,*,*,*,*,*", dictionary.getAllFeatures(100000000));
-    }
-
-    @Test
-    public void testUserDictionaryEntries() throws IOException {
-        String userDictionaryEntry = "クロ,クロ,クロ,カスタム名詞";
-        UserDictionary dictionary = new UserDictionary(
-                        new ByteArrayInputStream(userDictionaryEntry.getBytes(StandardCharsets.UTF_8)), 9, 7, 0);
-        List matches = dictionary.findUserDictionaryMatches("この丘はアクロポリスと呼ばれている");
-        assertEquals(1, matches.size());
-        assertEquals(5, matches.get(0).getMatchStartIndex());
-    }
-
-    @Test
-    public void testOverlappingUserDictionaryEntries() throws IOException {
-        String userDictionaryEntries = "" + "クロ,クロ,クロ,カスタム名詞\n" + "アクロ,アクロ,アクロ,カスタム名詞";
-        UserDictionary dictionary = new UserDictionary(
-                        new ByteArrayInputStream(userDictionaryEntries.getBytes(StandardCharsets.UTF_8)), 9, 7, 0);
-        List positions = dictionary.findUserDictionaryMatches("この丘はアクロポリスと呼ばれている");
-        assertEquals(4, positions.get(0).getMatchStartIndex());
-        assertEquals(2, positions.size());
-    }
-
-    private InputStream getResource(String resource) throws IOException {
-        return new ClassPathResource(resource).getInputStream();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/MultiThreadedTokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/MultiThreadedTokenizerTest.java
deleted file mode 100644
index 88323264d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/MultiThreadedTokenizerTest.java
+++ /dev/null
@@ -1,58 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-import org.nd4j.common.io.ClassPathResource;
-
-import java.io.IOException;
-
-import static com.atilika.kuromoji.TestUtils.assertMultiThreadedTokenizedStreamEquals;
-
-public class MultiThreadedTokenizerTest extends BaseDL4JTest {
-
-    @Test
-    public void testMultiThreadedBocchan() throws IOException, InterruptedException {
-        assertMultiThreadedTokenizedStreamEquals(5, 25, "deeplearning4j-nlp-japanese/bocchan-ipadic-features.txt", "deeplearning4j-nlp-japanese/bocchan.txt",
-                        new Tokenizer());
-    }
-
-    @Test
-    public void testMultiThreadedUserDictionary() throws IOException, InterruptedException {
-        ClassPathResource cpr = new ClassPathResource("deeplearning4j-nlp-japanese/userdict.txt");
-
-        assertMultiThreadedTokenizedStreamEquals(5, 250, "deeplearning4j-nlp-japanese/jawikisentences-ipadic-features.txt", "/jawikisentences.txt",
-                        new Tokenizer.Builder().userDictionary(cpr.getInputStream()).build());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/RandomizedInputTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/RandomizedInputTest.java
deleted file mode 100644
index c30d6ae40..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/RandomizedInputTest.java
+++ /dev/null
@@ -1,64 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import com.carrotsearch.randomizedtesting.RandomizedTest;
-import com.carrotsearch.randomizedtesting.annotations.Repeat;
-import org.junit.Test;
-
-import static com.atilika.kuromoji.TestUtils.assertCanTokenizeString;
-
-public class RandomizedInputTest extends RandomizedTest {
-
-    private static final int LENGTH = 1024;
-
-    private Tokenizer tokenizer = new Tokenizer();
-
-    @Test
-    @Repeat(iterations = 10)
-    public void testRandomizedUnicodeInput() {
-        assertCanTokenizeString(randomUnicodeOfLength(LENGTH), tokenizer);
-    }
-
-    @Test
-    @Repeat(iterations = 10)
-    public void testRandomizedRealisticUnicodeInput() {
-        assertCanTokenizeString(randomRealisticUnicodeOfLength(LENGTH), tokenizer);
-    }
-
-    @Test
-    @Repeat(iterations = 10)
-    public void testRandomizedAsciiInput() {
-        assertCanTokenizeString(randomAsciiOfLength(LENGTH), tokenizer);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/SearchTokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/SearchTokenizerTest.java
deleted file mode 100644
index 3d0727e8b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/SearchTokenizerTest.java
+++ /dev/null
@@ -1,99 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import com.atilika.kuromoji.TokenizerBase.Mode;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.BeforeClass;
-import org.junit.Test;
-import org.nd4j.common.io.ClassPathResource;
-
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.io.LineNumberReader;
-import java.nio.charset.StandardCharsets;
-import java.util.Arrays;
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-
-public class SearchTokenizerTest extends BaseDL4JTest {
-
-    private static Tokenizer tokenizer;
-
-    @BeforeClass
-    public static void beforeClass() throws Exception {
-        tokenizer = new Tokenizer.Builder().mode(Mode.SEARCH).build();
-    }
-
-    @Test
-    public void testCompoundSplitting() throws IOException {
-        assertSegmentation("deeplearning4j-nlp-japanese/search-segmentation-tests.txt");
-    }
-
-    public void assertSegmentation(String testFilename) throws IOException {
-        LineNumberReader reader = new LineNumberReader(
-                        new InputStreamReader(new ClassPathResource(testFilename).getInputStream(), StandardCharsets.UTF_8));
-
-        String line;
-        while ((line = reader.readLine()) != null) {
-            // Remove comments
-            line = line.replaceAll("#.*$", "");
-            // Skip empty lines or comment lines
-            if (line.trim().isEmpty()) {
-                continue;
-            }
-
-            String[] fields = line.split("\t", 2);
-            String text = fields[0];
-            List expectedSurfaces = Arrays.asList(fields[1].split("\\s+"));
-
-            assertSegmentation(text, expectedSurfaces);
-        }
-    }
-
-    public void assertSegmentation(String text, List expectedSurfaces) {
-        List tokens = tokenizer.tokenize(text);
-
-        assertEquals("Input: " + text, expectedSurfaces.size(), tokens.size());
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(expectedSurfaces.get(i), tokens.get(i).getSurface());
-        }
-    }
-
-    private InputStream getResourceAsStream(String resource) {
-        return this.getClass().getResourceAsStream(resource);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/TokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/TokenizerTest.java
deleted file mode 100644
index 0ac090144..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/TokenizerTest.java
+++ /dev/null
@@ -1,250 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import com.atilika.kuromoji.CommonCornerCasesTest;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.BeforeClass;
-import org.junit.Test;
-import org.nd4j.common.resources.Resources;
-
-import java.io.ByteArrayInputStream;
-import java.io.IOException;
-import java.io.InputStream;
-import java.nio.charset.StandardCharsets;
-import java.util.Arrays;
-import java.util.List;
-
-import static com.atilika.kuromoji.TestUtils.*;
-import static org.junit.Assert.*;
-
-public class TokenizerTest extends BaseDL4JTest {
-
-    private static Tokenizer tokenizer;
-
-    @BeforeClass
-    public static void setUpBeforeClass() throws Exception {
-        tokenizer = new Tokenizer();
-    }
-
-    @Test
-    public void testSimpleSegmentation() {
-        String input = "スペースステーションに行きます。うたがわしい。";
-        String[] surfaces = {"スペース", "ステーション", "に", "行き", "ます", "。", "うたがわしい", "。"};
-        List tokens = tokenizer.tokenize(input);
-        assertTrue(tokens.size() == surfaces.length);
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(surfaces[i], tokens.get(i).getSurface());
-        }
-    }
-
-    @Test
-    public void testSimpleReadings() {
-        List tokens = tokenizer.tokenize("寿司が食べたいです。");
-        assertTrue(tokens.size() == 6);
-        assertEquals(tokens.get(0).getReading(), "スシ");
-        assertEquals(tokens.get(1).getReading(), "ガ");
-        assertEquals(tokens.get(2).getReading(), "タベ");
-        assertEquals(tokens.get(3).getReading(), "タイ");
-        assertEquals(tokens.get(4).getReading(), "デス");
-        assertEquals(tokens.get(5).getReading(), "。");
-    }
-
-    @Test
-    public void testSimpleReading() {
-        List tokens = tokenizer.tokenize("郵税");
-        assertEquals(tokens.get(0).getReading(), "ユウゼイ");
-    }
-
-    @Test
-    public void testSimpleBaseFormKnownWord() {
-        List tokens = tokenizer.tokenize("お寿司が食べたい。");
-        assertTrue(tokens.size() == 6);
-        assertEquals("食べ", tokens.get(3).getSurface());
-        assertEquals("食べる", tokens.get(3).getBaseForm());
-
-    }
-
-    @Test
-    public void testSimpleBaseFormUnknownWord() {
-        List tokens = tokenizer.tokenize("アティリカ株式会社");
-        assertTrue(tokens.size() == 2);
-        assertFalse(tokens.get(0).isKnown());
-        assertEquals("*", tokens.get(0).getBaseForm());
-        assertTrue(tokens.get(1).isKnown());
-        assertEquals("株式会社", tokens.get(1).getBaseForm());
-    }
-
-    @Test
-    public void testYabottaiCornerCase() {
-        List tokens = tokenizer.tokenize("やぼったい");
-        assertEquals(1, tokens.size());
-        assertEquals("やぼったい", tokens.get(0).getSurface());
-    }
-
-    @Test
-    public void testTsukitoshaCornerCase() {
-        List tokens = tokenizer.tokenize("突き通しゃ");
-        assertEquals(1, tokens.size());
-        assertEquals("突き通しゃ", tokens.get(0).getSurface());
-    }
-
-    @Test
-    public void testIpadicTokenAPIs() throws Exception {
-        List tokens = tokenizer.tokenize("お寿司が食べたい！");
-        String[] pronunciations = {"オ", "スシ", "ガ", "タベ", "タイ", "！"};
-
-        assertEquals(pronunciations.length, tokens.size());
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(pronunciations[i], tokens.get(i).getPronunciation());
-        }
-
-        String[] conjugationForms = {"*", "*", "*", "連用形", "基本形", "*"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(conjugationForms[i], tokens.get(i).getConjugationForm());
-        }
-
-        String[] conjugationTypes = {"*", "*", "*", "一段", "特殊・タイ", "*"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(conjugationTypes[i], tokens.get(i).getConjugationType());
-        }
-
-        String[] posLevel1 = {"接頭詞", "名詞", "助詞", "動詞", "助動詞", "記号"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(posLevel1[i], tokens.get(i).getPartOfSpeechLevel1());
-        }
-
-        String[] posLevel2 = {"名詞接続", "一般", "格助詞", "自立", "*", "一般"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(posLevel2[i], tokens.get(i).getPartOfSpeechLevel2());
-        }
-
-        String[] posLevel3 = {"*", "*", "一般", "*", "*", "*"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(posLevel3[i], tokens.get(i).getPartOfSpeechLevel3());
-        }
-
-        String[] posLevel4 = {"*", "*", "*", "*", "*", "*"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(posLevel4[i], tokens.get(i).getPartOfSpeechLevel4());
-        }
-    }
-
-    @Test
-    public void testCustomPenalties() {
-        String input = "シニアソフトウェアエンジニアを探しています";
-
-        Tokenizer customTokenizer = new Tokenizer.Builder().mode(Tokenizer.Mode.SEARCH).kanjiPenalty(3, 10000)
-                        .otherPenalty(Integer.MAX_VALUE, 0).build();
-
-        String[] expected1 = {"シニアソフトウェアエンジニア", "を", "探し", "て", "い", "ます"};
-
-        assertTokenSurfacesEquals(Arrays.asList(expected1), customTokenizer.tokenize(input));
-
-        Tokenizer searchTokenizer = new Tokenizer.Builder().mode(Tokenizer.Mode.SEARCH).build();
-
-        String[] expected2 = {"シニア", "ソフトウェア", "エンジニア", "を", "探し", "て", "い", "ます"};
-
-        assertTokenSurfacesEquals(Arrays.asList(expected2), searchTokenizer.tokenize(input));
-
-    }
-
-    @Test
-    public void testNakaguroSplit() {
-        Tokenizer defaultTokenizer = new Tokenizer();
-        Tokenizer nakakuroSplittingTokenizer = new Tokenizer.Builder().isSplitOnNakaguro(true).build();
-
-        String input = "ラレ・プールカリムの音楽が好き。";
-
-        assertTokenSurfacesEquals(Arrays.asList("ラレ・プールカリム", "の", "音楽", "が", "好き", "。"),
-                        defaultTokenizer.tokenize(input));
-        assertTokenSurfacesEquals(Arrays.asList("ラレ", "・", "プールカリム", "の", "音楽", "が", "好き", "。"),
-                        nakakuroSplittingTokenizer.tokenize(input));
-    }
-
-    @Test
-    public void testAllFeatures() {
-        Tokenizer tokenizer = new Tokenizer();
-        String input = "寿司が食べたいです。";
-
-        List tokens = tokenizer.tokenize(input);
-        assertEquals("寿司\t名詞,一般,*,*,*,*,寿司,スシ,スシ", toString(tokens.get(0)));
-        assertEquals("が\t助詞,格助詞,一般,*,*,*,が,ガ,ガ", toString(tokens.get(1)));
-        assertEquals("食べ\t動詞,自立,*,*,一段,連用形,食べる,タベ,タベ", toString(tokens.get(2)));
-        assertEquals("たい\t助動詞,*,*,*,特殊・タイ,基本形,たい,タイ,タイ", toString(tokens.get(3)));
-        assertEquals("です\t助動詞,*,*,*,特殊・デス,基本形,です,デス,デス", toString(tokens.get(4)));
-    }
-
-    private String toString(Token token) {
-        return token.getSurface() + "\t" + token.getAllFeatures();
-    }
-
-    @Test
-    public void testCompactedTrieCrash() {
-        String input = "＼ｍ";
-        Tokenizer tokenizer = new Tokenizer();
-
-        assertTokenSurfacesEquals(Arrays.asList("＼", "ｍ"), tokenizer.tokenize(input));
-    }
-
-    @Test
-    public void testFeatureLengths() throws IOException {
-        String userDictionary = "" + "gsf,gsf,ジーエスーエフ,カスタム名詞\n";
-
-        Tokenizer tokenizer = new Tokenizer.Builder()
-                        .userDictionary(new ByteArrayInputStream(userDictionary.getBytes(StandardCharsets.UTF_8)))
-                        .build();
-
-        assertEqualTokenFeatureLengths("ahgsfdajhgsfdこの丘はアクロポリスと呼ばれている。", tokenizer);
-    }
-
-    @Test
-    public void testNewBocchan() throws IOException {
-        try(InputStream s1 = Resources.asStream("deeplearning4j-nlp-japanese/bocchan-ipadic-features.txt");
-            InputStream s2 = Resources.asStream("deeplearning4j-nlp-japanese/bocchan.txt")) {
-            assertTokenizedStreamEquals(s1, s2, tokenizer);
-        }
-    }
-
-    @Test
-    public void testPunctuation() {
-        CommonCornerCasesTest.testPunctuation(new Tokenizer());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/UserDictionaryTokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/UserDictionaryTokenizerTest.java
deleted file mode 100644
index 204693e31..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/ipadic/UserDictionaryTokenizerTest.java
+++ /dev/null
@@ -1,212 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.ipadic;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Ignore;
-import org.junit.Test;
-
-import java.io.ByteArrayInputStream;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.nio.charset.StandardCharsets;
-import java.util.Arrays;
-import java.util.List;
-
-import static com.atilika.kuromoji.TestUtils.assertTokenSurfacesEquals;
-import static org.junit.Assert.assertEquals;
-
-public class UserDictionaryTokenizerTest extends BaseDL4JTest {
-
-    private String userDictionary = "" + "クロ,クロ,クロ,カスタム名詞\n" + "真救世主,真救世主,シンキュウセイシュ,カスタム名詞\n"
-                    + "真救世主伝説,真救世主伝説,シンキュウセイシュデンセツ,カスタム名詞\n" + "北斗の拳,北斗の拳,ホクトノケン,カスタム名詞";
-
-    @Test
-    public void testWhitespace() throws IOException {
-        String userDictionary = "iPhone4 S,iPhone4 S,iPhone4 S,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-        String input = "iPhone4 S";
-
-        assertTokenSurfacesEquals(Arrays.asList("iPhone4 S"), tokenizer.tokenize(input));
-    }
-
-    @Test(expected = RuntimeException.class)
-    public void testBadlyFormattedEntry() throws IOException {
-        String entry = "関西国際空港,関西 国際 空,カンサイ コクサイクウコウ,カスタム名詞";
-        makeTokenizer(entry);
-    }
-
-    @Test
-    public void testAcropolis() throws IOException {
-        String userDictionary = "クロ,クロ,クロ,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        String input = "アクロポリス";
-
-        assertTokenSurfacesEquals(Arrays.asList("ア", "クロ", "ポリス"), tokenizer.tokenize(input));
-    }
-
-    @Test
-    public void testAllFeatures() throws IOException {
-        String input = "シロクロ";
-        String[] surfaces = {"シロ", "クロ"};
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-        List tokens = tokenizer.tokenize(input);
-
-        assertEquals(surfaces.length, tokens.size());
-        Token token = tokens.get(1);
-        String actual = token.getSurface() + "\t" + token.getAllFeatures();
-        assertEquals("クロ\tカスタム名詞,*,*,*,*,*,*,クロ,*", actual);
-    }
-
-
-    @Test
-    public void testAcropolisInSentence() throws IOException {
-        String userDictionary = "クロ,クロ,クロ,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        String input = "この丘はアクロポリスと呼ばれている。";
-
-        assertTokenSurfacesEquals(Arrays.asList("この", "丘", "は", "ア", "クロ", "ポリス", "と", "呼ば", "れ", "て", "いる", "。"),
-                        tokenizer.tokenize(input));
-    }
-
-    @Test
-    public void testLatticeBrokenAfterUserDictEntry() throws IOException {
-        String userDictionary = "クロ,クロ,クロ,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        String input = "アクロア";
-        String[] surfaces = {"ア", "クロ", "ア"};
-        String[] features = {"*,*,*,*,*,*,*,*,*", "カスタム名詞,*,*,*,*,*,*,クロ,*", "*,*,*,*,*,*,*,*,*"};
-        List tokens = tokenizer.tokenize(input);
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(surfaces[i], tokens.get(i).getSurface());
-            assertEquals(features[i], tokens.get(i).getAllFeatures());
-        }
-    }
-
-    @Test
-    public void testLatticeBrokenAfterUserDictEntryInSentence() throws IOException {
-        String userDictionary = "クロ,クロ,クロ,カスタム名詞,a,a,a";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        String input = "この丘の名前はアクロアだ。";
-        String[] surfaces = {"この", "丘", "の", "名前", "は", "ア", "クロ", "ア", "だ", "。"};
-        String[] features = {"連体詞,*,*,*,*,*,この,コノ,コノ", "名詞,一般,*,*,*,*,丘,オカ,オカ", "助詞,連体化,*,*,*,*,の,ノ,ノ",
-                        "名詞,一般,*,*,*,*,名前,ナマエ,ナマエ", "助詞,係助詞,*,*,*,*,は,ハ,ワ", "*,*,*,*,*,*,*,*,*",
-                        "カスタム名詞,*,*,*,*,*,*,クロ,*", "*,*,*,*,*,*,*,*,*", "助動詞,*,*,*,特殊・ダ,基本形,だ,ダ,ダ",
-                        "記号,句点,*,*,*,*,。,。,。"};
-        List tokens = tokenizer.tokenize(input);
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(surfaces[i], tokens.get(i).getSurface());
-            assertEquals(features[i], tokens.get(i).getAllFeatures());
-        }
-    }
-
-    @Test
-    public void testShinKyuseishu() throws IOException {
-        String userDictionary = "真救世主,真救世主,シンキュウセイシュ,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        assertEquals("シンキュウセイシュ", tokenizer.tokenize("真救世主伝説").get(0).getReading());
-    }
-
-    @Test
-    public void testShinKyuseishuDensetsu() throws IOException {
-        String userDictionary = "真救世主伝説,真救世主伝説,シンキュウセイシュデンセツ,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        assertEquals("シンキュウセイシュデンセツ", tokenizer.tokenize("真救世主伝説").get(0).getReading());
-    }
-
-    @Test
-    public void testCheckDifferentSpelling() throws IOException {
-        String input = "北斗の拳は真救世主伝説の名曲である。";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-        List tokens = tokenizer.tokenize(input);
-        String[] expectedReadings = {"ホクトノケン", "ハ", "シンキュウセイシュデンセツ", "ノ", "メイキョク", "デ", "アル", "。"};
-
-        for (int i = 0; i < tokens.size(); i++) {
-            assertEquals(expectedReadings[i], tokens.get(i).getReading());
-        }
-    }
-
-    @Test
-    public void testLongestActualJapaneseWord() throws IOException {
-        String userDictionary = "竜宮の乙姫の元結の切り外し,竜宮の乙姫の元結の切り外し,リュウグウノオトヒメノモトユイノキリハズシ,カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        assertEquals("リュウグウノオトヒメノモトユイノキリハズシ", tokenizer.tokenize("竜宮の乙姫の元結の切り外し").get(0).getReading());
-    }
-
-    @Test
-    public void testLongestMovieTitle() throws IOException {
-        String userDictionary = "マルキ・ド・サドの演出のもとにシャラントン精神病院患者たちによって演じられたジャン＝ポール・マラーの迫害と暗殺,"
-                        + "マルキ・ド・サドの演出のもとにシャラントン精神病院患者たちによって演じられたジャン＝ポール・マラーの迫害と暗殺,"
-                        + "マルキ・ド・サドノエンシュツノモトニシャラントンセイシンビョウインカンジャタチニヨッテエンジラレタジャン＝ポール・マラーノハクガイトアンサツ," + "カスタム名詞";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        assertEquals("マルキ・ド・サドノエンシュツノモトニシャラントンセイシンビョウインカンジャタチニヨッテエンジラレタジャン＝ポール・マラーノハクガイトアンサツ", tokenizer
-                        .tokenize("マルキ・ド・サドの演出のもとにシャラントン精神病院患者たちによって演じられたジャン＝ポール・マラーの迫害と暗殺").get(0).getReading());
-    }
-
-    @Test
-    public void testInsertedFail() throws IOException {
-        String userDictionary = "引,引,引,カスタム品詞\n";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        assertTokenSurfacesEquals(Arrays.asList("引", "く", "。"), tokenizer.tokenize("引く。"));
-    }
-
-    @Ignore("Doesn't segment properly - Viterbi lattice looks funny")
-    @Test
-    public void testTsunk() throws IOException {
-        String userDictionary = "" + "シャ乱Q つんく♂,シャ乱Q つんく ♂,シャランキュー ツンク ボーイ,カスタムアーティスト名";
-        Tokenizer tokenizer = makeTokenizer(userDictionary);
-
-        FileOutputStream output = new FileOutputStream("tsunk.gv");
-        tokenizer.debugTokenize(output, "シャQ");
-        output.close();
-    }
-
-    private Tokenizer makeTokenizer(String userDictionaryEntry) throws IOException {
-        return new Tokenizer.Builder().userDictionary(makeUserDictionaryStream(userDictionaryEntry)).build();
-    }
-
-    private ByteArrayInputStream makeUserDictionaryStream(String userDictionary) {
-        return new ByteArrayInputStream(userDictionary.getBytes(StandardCharsets.UTF_8));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/DoubleArrayTrieTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/DoubleArrayTrieTest.java
deleted file mode 100644
index 3f4e5763e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/DoubleArrayTrieTest.java
+++ /dev/null
@@ -1,83 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import java.io.*;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertTrue;
-
-public class DoubleArrayTrieTest extends BaseDL4JTest {
-
-    @Test
-    public void testSparseTrie() throws IOException {
-        testSimpleTrie(false);
-    }
-
-    @Test
-    public void testCompactTrie() throws IOException {
-        testSimpleTrie(false);
-    }
-
-    private void testSimpleTrie(boolean compact) throws IOException {
-        Trie trie = makeTrie();
-        File costsFile = File.createTempFile("kuromoji-doublearraytrie-", ".bin");
-        costsFile.deleteOnExit();
-
-        DoubleArrayTrie doubleArrayTrie = new DoubleArrayTrie(compact);
-        doubleArrayTrie.build(trie);
-
-        OutputStream output = new FileOutputStream(costsFile);
-        doubleArrayTrie.write(output);
-        output.close();
-
-        doubleArrayTrie = DoubleArrayTrie.read(new FileInputStream(costsFile));
-
-        assertEquals(0, doubleArrayTrie.lookup("a"));
-        assertTrue(doubleArrayTrie.lookup("abc") > 0);
-        assertTrue(doubleArrayTrie.lookup("あいう") > 0);
-        assertTrue(doubleArrayTrie.lookup("xyz") < 0);
-    }
-
-    private Trie makeTrie() {
-        Trie trie = new Trie();
-        trie.add("abc");
-        trie.add("abd");
-        trie.add("あああ");
-        trie.add("あいう");
-        return trie;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/NodeTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/NodeTest.java
deleted file mode 100644
index 474c073f2..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/NodeTest.java
+++ /dev/null
@@ -1,177 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.BeforeClass;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-
-public class NodeTest extends BaseDL4JTest {
-
-    @BeforeClass
-    public static void setUpBeforeClass() throws Exception {}
-
-    @Test
-    public void testNode() {
-        Trie trie = new Trie();
-
-        Trie.Node node = trie.new Node('!');
-        assertEquals('!', node.getKey());
-
-        node = trie.new Node('1');
-        assertEquals('1', node.getKey());
-
-        node = trie.new Node('a');
-        assertEquals('a', node.getKey());
-
-        node = trie.new Node('！');
-        assertEquals('！', node.getKey());
-
-        node = trie.new Node('１');
-        assertEquals('１', node.getKey());
-
-        node = trie.new Node('あ');
-        assertEquals('あ', node.getKey());
-
-        node = trie.new Node('漢');
-        assertEquals('漢', node.getKey());
-
-    }
-
-    @Test
-    public void testAddChild() {
-        Trie trie = new Trie();
-        Trie.Node node = trie.new Node('a');
-
-        Trie.Node returnedNode = node.addChild(trie.new Node('b'));
-        assertEquals('b', returnedNode.getKey());
-        assertEquals(1, node.getChildren().size());
-        assertEquals('b', node.getChildren().get(0).getKey());
-
-        returnedNode = node.addChild(trie.new Node('c'));
-        assertEquals('c', returnedNode.getKey());
-        assertEquals(2, node.getChildren().size());
-        assertEquals('c', node.getChildren().get(1).getKey());
-    }
-
-    @Test
-    public void testAdd() {
-        Trie trie = new Trie();
-
-        Trie.Node node = trie.new Node('a');
-        node.add("");
-        assertEquals(0, node.getChildren().size());
-
-        node = trie.new Node('a');
-        node.add("b");
-        assertEquals(1, node.getChildren().size());
-        assertEquals('b', node.getChildren().get(0).getKey());
-
-        node = trie.new Node('a');
-        node.add("bc");
-        Trie.Node b = node.getChildren().get(0);
-        assertEquals(1, node.getChildren().size());
-        assertEquals('b', b.getKey());
-        assertEquals(1, b.getChildren().size());
-        Trie.Node c = b.getChildren().get(0);
-        assertEquals('c', c.getKey());
-        assertEquals(0, c.getChildren().size());
-
-        node.add("bd");
-        b = node.getChildren().get(0);
-        assertEquals(1, node.getChildren().size());
-        assertEquals('b', b.getKey());
-        assertEquals(2, b.getChildren().size());
-        c = b.getChildren().get(0);
-        assertEquals('c', c.getKey());
-        assertEquals(0, c.getChildren().size());
-        Trie.Node d = b.getChildren().get(1);
-        assertEquals('d', d.getKey());
-        assertEquals(0, d.getChildren().size());
-    }
-
-
-    @Test
-    public void testGetkey() {
-        Trie trie = new Trie();
-
-        Trie.Node node = trie.new Node('!');
-        assertEquals('!', node.getKey());
-
-        node = trie.new Node('1');
-        assertEquals('1', node.getKey());
-
-        node = trie.new Node('a');
-        assertEquals('a', node.getKey());
-
-        node = trie.new Node('！');
-        assertEquals('！', node.getKey());
-
-        node = trie.new Node('１');
-        assertEquals('１', node.getKey());
-
-        node = trie.new Node('あ');
-        assertEquals('あ', node.getKey());
-
-        node = trie.new Node('漢');
-        assertEquals('漢', node.getKey());
-    }
-
-    @Test
-    public void testHasSinglePath() {
-        Trie trie = new Trie();
-
-        Trie.Node node = trie.new Node('a');
-        node.add("bcd");
-        assertEquals(true, node.hasSinglePath());
-
-        node.add("bce");
-        assertEquals(false, node.hasSinglePath());
-    }
-
-    @Test
-    public void testGetChildren() {
-        Trie trie = new Trie();
-
-        Trie.Node node = trie.new Node('a');
-        node.add("bcd");
-        node.add("bde");
-        node.add("xyz");
-
-        assertEquals(2, node.getChildren().size());
-        assertEquals('b', node.getChildren().get(0).getKey());
-        assertEquals('x', node.getChildren().get(1).getKey());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/PatriciaTrieTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/PatriciaTrieTest.java
deleted file mode 100644
index 1f4bec6ad..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/PatriciaTrieTest.java
+++ /dev/null
@@ -1,416 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import java.util.*;
-
-import static org.junit.Assert.*;
-
-public class PatriciaTrieTest extends BaseDL4JTest {
-
-    @Test
-    public void testRomaji() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put("a", "a");
-        trie.put("b", "b");
-        trie.put("ab", "ab");
-        trie.put("bac", "bac");
-        assertEquals("a", trie.get("a"));
-        assertEquals("bac", trie.get("bac"));
-        assertEquals("b", trie.get("b"));
-        assertEquals("ab", trie.get("ab"));
-        assertNull(trie.get("nonexistant"));
-    }
-
-    @Test
-    public void testJapanese() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put("寿司", "sushi");
-        trie.put("刺身", "sashimi");
-        assertEquals("sushi", trie.get("寿司"));
-        assertEquals("sashimi", trie.get("刺身"));
-    }
-
-    @Test(expected = NullPointerException.class)
-    public void testNull() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put("null", null);
-        assertEquals(null, trie.get("null"));
-        trie.put(null, "null"); // Throws NullPointerException
-        assertTrue(false);
-    }
-
-    @Test
-    public void testRandom() {
-        // Generate random strings
-        List randoms = new ArrayList<>();
-        for (int i = 0; i < 100000; i++) {
-            randoms.add(UUID.randomUUID().toString());
-        }
-        // Insert them
-        PatriciaTrie trie = new PatriciaTrie<>();
-        for (String random : randoms) {
-            trie.put(random, random);
-        }
-        // Get and test them
-        for (String random : randoms) {
-            assertEquals(random, trie.get(random));
-            assertTrue(trie.containsKey(random));
-        }
-    }
-
-    @Test
-    public void testPutAll() {
-        // Generate random strings
-        Map randoms = new HashMap<>();
-        for (int i = 0; i < 10000; i++) {
-            String random = UUID.randomUUID().toString();
-            randoms.put(random, random);
-        }
-        // Insert them
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.putAll(randoms);
-
-        // Get and test them
-        for (Map.Entry random : randoms.entrySet()) {
-            assertEquals(random.getValue(), trie.get(random.getKey()));
-            assertTrue(trie.containsKey(random.getKey()));
-        }
-    }
-
-    @Test
-    public void testLongString() {
-        String longMovieTitle = "マルキ・ド・サドの演出のもとにシャラントン精神病院患者たちによって演じられたジャン＝ポール・マラーの迫害と暗殺";
-
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put(longMovieTitle, "found it");
-
-        assertEquals("found it", trie.get(longMovieTitle));
-    }
-
-    @Test(expected = ClassCastException.class)
-    public void testUnsupportedType() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put("hello", "world");
-        assertTrue(trie.containsKey("hello"));
-        trie.containsKey(new Integer(1));
-        assertTrue(false);
-    }
-
-    @Test
-    public void testEmpty() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        assertTrue(trie.isEmpty());
-        trie.put("hello", "world");
-        assertFalse(trie.isEmpty());
-    }
-
-    @Test
-    public void testEmptyInsert() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        assertTrue(trie.isEmpty());
-        trie.put("", "i am empty bottle of beer!");
-        assertFalse(trie.isEmpty());
-        assertEquals("i am empty bottle of beer!", trie.get(""));
-        trie.put("", "...and i'm an empty bottle of sake");
-        assertEquals("...and i'm an empty bottle of sake", trie.get(""));
-    }
-
-    @Test
-    public void testClear() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        assertTrue(trie.isEmpty());
-        assertEquals(0, trie.size());
-        trie.put("hello", "world");
-        trie.put("world", "hello");
-        assertFalse(trie.isEmpty());
-        trie.clear();
-        assertTrue(trie.isEmpty());
-        assertEquals(0, trie.size());
-    }
-
-    @Test
-    public void testNaiveCollections() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put("寿司", "sushi");
-        trie.put("刺身", "sashimi");
-        trie.put("そば", "soba");
-        trie.put("ラーメン", "ramen");
-        // Test keys
-        assertEquals(4, trie.keySet().size());
-        assertTrue(trie.keySet().containsAll(Arrays.asList(new String[] {"寿司", "そば", "ラーメン", "刺身"})));
-        // Test values
-        assertEquals(4, trie.values().size());
-        assertTrue(trie.values().containsAll(Arrays.asList(new String[] {"sushi", "soba", "ramen", "sashimi"})));
-    }
-
-    @Test
-    public void testEscapeChars() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        trie.put("new", "no error");
-        assertFalse(trie.containsKeyPrefix("new\na"));
-        assertFalse(trie.containsKeyPrefix("\n"));
-        assertFalse(trie.containsKeyPrefix("\t"));
-    }
-
-    @Test
-    public void testPrefix() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        String[] tokyoPlaces = new String[] {"Hachiōji", "Tachikawa", "Musashino", "Mitaka", "Ōme", "Fuchū", "Akishima",
-                        "Chōfu", "Machida", "Koganei", "Kodaira", "Hino", "Higashimurayama", "Kokubunji", "Kunitachi",
-                        "Fussa", "Komae", "Higashiyamato", "Kiyose", "Higashikurume", "Musashimurayama", "Tama",
-                        "Inagi", "Hamura", "Akiruno", "Nishitōkyō"};
-        for (int i = 0; i < tokyoPlaces.length; i++) {
-            trie.put(tokyoPlaces[i], tokyoPlaces[i]);
-        }
-
-        // Prefixes of Kodaira
-        assertTrue(trie.containsKeyPrefix("K"));
-        assertTrue(trie.containsKeyPrefix("Ko"));
-        assertTrue(trie.containsKeyPrefix("Kod"));
-        assertTrue(trie.containsKeyPrefix("Koda"));
-        assertTrue(trie.containsKeyPrefix("Kodai"));
-        assertTrue(trie.containsKeyPrefix("Kodair"));
-        assertTrue(trie.containsKeyPrefix("Kodaira"));
-        assertFalse(trie.containsKeyPrefix("Kodaira "));
-        assertFalse(trie.containsKeyPrefix("Kodaira  "));
-        assertTrue(trie.get("Kodaira") != null);
-
-        // Prefixes of Fussa
-        assertFalse(trie.containsKeyPrefix("fu"));
-        assertTrue(trie.containsKeyPrefix("Fu"));
-        assertTrue(trie.containsKeyPrefix("Fus"));
-    }
-
-    @Test
-    public void testTextScan() {
-        PatriciaTrie trie = new PatriciaTrie<>();
-        String[] terms = new String[] {"お寿司", "sushi", "美味しい", "tasty", "日本", "japan", "だと思います", "i think", "料理",
-                        "food", "日本料理", "japanese food", "一番", "first and foremost",};
-        for (int i = 0; i < terms.length; i += 2) {
-            trie.put(terms[i], terms[i + 1]);
-        }
-
-        String text = "日本料理の中で、一番美味しいのはお寿司だと思います。すぐ日本に帰りたいです。";
-        StringBuilder builder = new StringBuilder();
-
-        int startIndex = 0;
-        while (startIndex < text.length()) {
-            int matchLength = 0;
-            while (trie.containsKeyPrefix(text.substring(startIndex, startIndex + matchLength + 1))) {
-                matchLength++;
-            }
-            if (matchLength > 0) {
-                String match = text.substring(startIndex, startIndex + matchLength);
-                builder.append("[");
-                builder.append(match);
-                builder.append("|");
-                builder.append(trie.get(match));
-                builder.append("]");
-                startIndex += matchLength;
-            } else {
-                builder.append(text.charAt(startIndex));
-                startIndex++;
-            }
-        }
-        assertEquals("[日本料理|japanese food]の中で、[一番|first and foremost][美味しい|tasty]のは[お寿司|sushi][だと思います|i think]。すぐ[日本|japan]に帰りたいです。",
-                        builder.toString());
-    }
-
-    @Test
-    public void testMultiThreadedTrie() throws InterruptedException {
-        final int numThreads = 10;
-        final int perThreadRuns = 500000;
-        final int keySetSize = 1000;
-
-        final List threads = new ArrayList<>();
-        final List randoms = new ArrayList<>();
-
-        final PatriciaTrie trie = new PatriciaTrie<>();
-
-        for (int i = 0; i < keySetSize; i++) {
-            String random = UUID.randomUUID().toString();
-            randoms.add(random);
-            trie.put(random, i);
-        }
-
-        for (int i = 0; i < numThreads; i++) {
-            Thread thread = new Thread(new Runnable() {
-                @Override
-                public void run() {
-                    for (int run = 0; run < perThreadRuns; run++) {
-                        int randomIndex = (int) (Math.random() * randoms.size());
-                        String random = randoms.get(randomIndex);
-
-                        // Test retrieve
-                        assertEquals(randomIndex, (int) trie.get(random));
-
-                        int randomPrefixLength = (int) (Math.random() * random.length());
-
-                        // Test random prefix length prefix match
-                        assertTrue(trie.containsKeyPrefix(random.substring(0, randomPrefixLength)));
-                    }
-                }
-            });
-            threads.add(thread);
-            thread.start();
-        }
-
-        for (Thread thread : threads) {
-            thread.join();
-        }
-
-        assertTrue(true);
-    }
-
-    @Test
-    public void testSimpleKey() {
-        PatriciaTrie.KeyMapper keyMapper = new PatriciaTrie.StringKeyMapper();
-        String key = "abc";
-
-        // a = U+0061 = 0000 0000 0110 0001
-        assertFalse(keyMapper.isSet(0, key));
-        assertFalse(keyMapper.isSet(1, key));
-        assertFalse(keyMapper.isSet(2, key));
-        assertFalse(keyMapper.isSet(3, key));
-
-        assertFalse(keyMapper.isSet(4, key));
-        assertFalse(keyMapper.isSet(5, key));
-        assertFalse(keyMapper.isSet(6, key));
-        assertFalse(keyMapper.isSet(7, key));
-
-        assertFalse(keyMapper.isSet(8, key));
-        assertTrue(keyMapper.isSet(9, key));
-        assertTrue(keyMapper.isSet(10, key));
-        assertFalse(keyMapper.isSet(11, key));
-
-        assertFalse(keyMapper.isSet(12, key));
-        assertFalse(keyMapper.isSet(13, key));
-        assertFalse(keyMapper.isSet(14, key));
-        assertTrue(keyMapper.isSet(15, key));
-
-        // b = U+0062 = 0000 0000 0110 0010
-        assertFalse(keyMapper.isSet(16, key));
-        assertFalse(keyMapper.isSet(17, key));
-        assertFalse(keyMapper.isSet(18, key));
-        assertFalse(keyMapper.isSet(19, key));
-
-        assertFalse(keyMapper.isSet(20, key));
-        assertFalse(keyMapper.isSet(21, key));
-        assertFalse(keyMapper.isSet(22, key));
-        assertFalse(keyMapper.isSet(23, key));
-
-        assertFalse(keyMapper.isSet(24, key));
-        assertTrue(keyMapper.isSet(25, key));
-        assertTrue(keyMapper.isSet(26, key));
-        assertFalse(keyMapper.isSet(27, key));
-
-        assertFalse(keyMapper.isSet(28, key));
-        assertFalse(keyMapper.isSet(29, key));
-        assertTrue(keyMapper.isSet(30, key));
-        assertFalse(keyMapper.isSet(31, key));
-
-        // c = U+0063 = 0000 0000 0110 0011
-        assertFalse(keyMapper.isSet(32, key));
-        assertFalse(keyMapper.isSet(33, key));
-        assertFalse(keyMapper.isSet(34, key));
-        assertFalse(keyMapper.isSet(35, key));
-
-        assertFalse(keyMapper.isSet(36, key));
-        assertFalse(keyMapper.isSet(37, key));
-        assertFalse(keyMapper.isSet(38, key));
-        assertFalse(keyMapper.isSet(39, key));
-
-        assertFalse(keyMapper.isSet(40, key));
-        assertTrue(keyMapper.isSet(41, key));
-        assertTrue(keyMapper.isSet(42, key));
-        assertFalse(keyMapper.isSet(43, key));
-
-        assertFalse(keyMapper.isSet(44, key));
-        assertFalse(keyMapper.isSet(45, key));
-        assertTrue(keyMapper.isSet(46, key));
-        assertTrue(keyMapper.isSet(47, key));
-    }
-
-    @Test
-    public void testNullKeyMap() {
-        PatriciaTrie.KeyMapper keyMapper = new PatriciaTrie.StringKeyMapper();
-        assertFalse(keyMapper.isSet(0, null));
-        assertFalse(keyMapper.isSet(100, null));
-        assertFalse(keyMapper.isSet(1000, null));
-    }
-
-    @Test
-    public void testEmptyKeyMap() {
-        PatriciaTrie.KeyMapper keyMapper = new PatriciaTrie.StringKeyMapper();
-        // Note: this is a special case handled in PatriciaTrie
-        assertTrue(keyMapper.isSet(0, ""));
-        assertTrue(keyMapper.isSet(100, ""));
-        assertTrue(keyMapper.isSet(1000, ""));
-    }
-
-    @Test
-    public void testOverflowBit() {
-        PatriciaTrie.KeyMapper keyMapper = new PatriciaTrie.StringKeyMapper();
-        String key = "a";
-
-        // a = U+0061 = 0000 0000 0110 0001
-        assertFalse(keyMapper.isSet(0, key));
-        assertFalse(keyMapper.isSet(1, key));
-        assertFalse(keyMapper.isSet(2, key));
-        assertFalse(keyMapper.isSet(3, key));
-
-        assertFalse(keyMapper.isSet(4, key));
-        assertFalse(keyMapper.isSet(5, key));
-        assertFalse(keyMapper.isSet(6, key));
-        assertFalse(keyMapper.isSet(7, key));
-
-        assertFalse(keyMapper.isSet(8, key));
-        assertTrue(keyMapper.isSet(9, key));
-        assertTrue(keyMapper.isSet(10, key));
-        assertFalse(keyMapper.isSet(11, key));
-
-        assertFalse(keyMapper.isSet(12, key));
-        assertFalse(keyMapper.isSet(13, key));
-        assertFalse(keyMapper.isSet(14, key));
-        assertTrue(keyMapper.isSet(15, key));
-
-        // Asking for overflow bits should return 1
-        assertTrue(keyMapper.isSet(16, key));
-        assertTrue(keyMapper.isSet(17, key));
-        assertTrue(keyMapper.isSet(100, key));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/TrieTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/TrieTest.java
deleted file mode 100644
index a27131eb8..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/trie/TrieTest.java
+++ /dev/null
@@ -1,88 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.trie;
-
-import com.atilika.kuromoji.trie.Trie.Node;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import static org.junit.Assert.*;
-
-public class TrieTest extends BaseDL4JTest {
-
-    @Test
-    public void testGetRoot() {
-        Trie trie = new Trie();
-        Node rootNode = trie.getRoot();
-        assertNotNull(rootNode);
-    }
-
-    @Test
-    public void testAdd() {
-        Trie trie = new Trie();
-        trie.add("aa");
-        trie.add("ab");
-        trie.add("bb");
-
-        Node rootNode = trie.getRoot();
-        assertEquals(2, rootNode.getChildren().size());
-        assertEquals(2, rootNode.getChildren().get(0).getChildren().size());
-        assertEquals(1, rootNode.getChildren().get(1).getChildren().size());
-    }
-
-    @Test
-    public void testGetChildren() {
-        Trie trie = new Trie();
-        trie.add("aa");
-        trie.add("ab");
-        trie.add("bb");
-
-        Node rootNode = trie.getRoot();
-        assertEquals(2, rootNode.getChildren().size());
-        assertEquals(2, rootNode.getChildren().get(0).getChildren().size());
-        assertEquals(1, rootNode.getChildren().get(1).getChildren().size());
-    }
-
-    @Test
-    public void testSinglePath() {
-        Trie trie = new Trie();
-        assertTrue(trie.getRoot().hasSinglePath());
-        trie.add("abcdef");
-        assertTrue(trie.getRoot().hasSinglePath());
-        trie.add("abdfg");
-        Node rootNode = trie.getRoot();
-        assertEquals(2, rootNode.getChildren().get(0).getChildren().get(0).getChildren().size());
-        assertTrue(rootNode.getChildren().get(0).getChildren().get(0).getChildren().get(0).hasSinglePath());
-        assertTrue(rootNode.getChildren().get(0).getChildren().get(0).getChildren().get(1).hasSinglePath());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/util/DictionaryEntryLineParserTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/util/DictionaryEntryLineParserTest.java
deleted file mode 100644
index f9ff1c060..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/com/atilika/kuromoji/util/DictionaryEntryLineParserTest.java
+++ /dev/null
@@ -1,151 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/*-*
- * Copyright © 2010-2015 Atilika Inc. and contributors (see CONTRIBUTORS.md)
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may
- * not use this file except in compliance with the License.  A copy of the
- * License is distributed with this work in the LICENSE.md file.  You may
- * also obtain a copy of the License from
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.atilika.kuromoji.util;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.Test;
-
-import java.util.Arrays;
-
-import static org.junit.Assert.assertArrayEquals;
-import static org.junit.Assert.assertEquals;
-
-public class DictionaryEntryLineParserTest extends BaseDL4JTest {
-
-    private DictionaryEntryLineParser parser = new DictionaryEntryLineParser();
-
-    @Test
-    public void testTrivial() {
-        assertArrayEquals(new String[] {"日本経済新聞", "日本 経済 新聞", "ニホン ケイザイ シンブン", "カスタム名詞"},
-                        parser.parseLine("日本経済新聞,日本 経済 新聞,ニホン ケイザイ シンブン,カスタム名詞"));
-    }
-
-    @Test
-    public void testQuotes() {
-        assertArrayEquals(
-                        new String[] {"Java Platform, Standard Edition", "Java Platform, Standard Edition",
-                                        "Java Platform, Standard Edition", "カスタム名詞"},
-                        parser.parseLine(
-                                        "\"Java Platform, Standard Edition\",\"Java Platform, Standard Edition\",\"Java Platform, Standard Edition\",カスタム名詞"));
-    }
-
-    @Test
-    public void testQuotedQuotes() {
-        assertArrayEquals(new String[] {"Java \"Platform\"", "Java \"Platform\"", "Java \"Platform\"", "カスタム名詞"}, parser
-                        .parseLine("\"Java \"\"Platform\"\"\",\"Java \"\"Platform\"\"\",\"Java \"\"Platform\"\"\",カスタム名詞"));
-    }
-
-    @Test
-    public void testEmptyQuotedQuotes() {
-        assertArrayEquals(new String[] {"\"", "\"", "quote", "punctuation"},
-                        parser.parseLine("\"\"\"\",\"\"\"\",quote,punctuation"));
-    }
-
-    @Test
-    public void testCSharp() {
-        assertArrayEquals(new String[] {"C#", "C #", "シーシャープ", "プログラミング言語"},
-                        parser.parseLine("\"C#\",\"C #\",シーシャープ,プログラミング言語"));
-    }
-
-    @Test
-    public void testTab() {
-        assertArrayEquals(new String[] {"A\tB", "A B", "A B", "tab"}, parser.parseLine("A\tB,A B,A B,tab"));
-    }
-
-    @Test
-    public void testFrancoisWhiteBuffaloBota() {
-
-        assertArrayEquals(
-                        new String[] {"フランソワ\"ザホワイトバッファロー\"ボタ", "フランソワ\"ザホワイトバッファロー\"ボタ", "フランソワ\"ザホワイトバッファロー\"ボタ",
-                                        "名詞"},
-                        parser.parseLine(
-                                        "\"フランソワ\"\"ザホワイトバッファロー\"\"ボタ\",\"フランソワ\"\"ザホワイトバッファロー\"\"ボタ\",\"フランソワ\"\"ザホワイトバッファロー\"\"ボタ\",名詞"));
-    }
-
-    @Test(expected = RuntimeException.class)
-    public void testSingleQuote() {
-        parser.parseLine("this is an entry with \"unmatched quote");
-    }
-
-    @Test(expected = RuntimeException.class)
-    public void testUnmatchedQuote() {
-        parser.parseLine("this is an entry with \"\"\"unmatched quote");
-    }
-
-    @Test
-    public void testEscapeRoundTrip() {
-        String original = "3,\"14";
-
-        assertEquals("\"3,\"\"14\"", DictionaryEntryLineParser.escape(original));
-        assertEquals(original, DictionaryEntryLineParser.unescape(DictionaryEntryLineParser.escape(original)));
-    }
-
-    @Test
-    public void testUnescape() {
-        assertEquals("A", DictionaryEntryLineParser.unescape("\"A\""));
-        assertEquals("\"A\"", DictionaryEntryLineParser.unescape("\"\"\"A\"\"\""));
-
-        assertEquals("\"", DictionaryEntryLineParser.unescape("\"\"\"\""));
-        assertEquals("\"\"", DictionaryEntryLineParser.unescape("\"\"\"\"\"\""));
-        assertEquals("\"\"\"", DictionaryEntryLineParser.unescape("\"\"\"\"\"\"\"\""));
-        assertEquals("\"\"\"\"\"", DictionaryEntryLineParser.unescape("\"\"\"\"\"\"\"\"\"\"\"\""));
-    }
-
-    // TODO: these tests should be checked, right now they are documenting what is happening.
-    @Test
-    public void testParseInputString() throws Exception {
-        String input = "日本経済新聞,1292,1292,4980,名詞,固有名詞,組織,*,*,*,日本経済新聞,ニホンケイザイシンブン,ニホンケイザイシンブン";
-        String expected = Arrays.deepToString(new String[] {"日本経済新聞", "1292", "1292", "4980", "名詞", "固有名詞", "組織", "*",
-                        "*", "*", "日本経済新聞", "ニホンケイザイシンブン", "ニホンケイザイシンブン"});
-        assertEquals(expected, given(input));
-    }
-
-    @Test
-    public void testParseInputStringWithQuotes() throws Exception {
-        String input = "日本経済新聞,1292,1292,4980,名詞,固有名詞,組織,*,*,\"1,0\",日本経済新聞,ニホンケイザイシンブン,ニホンケイザイシンブン";
-        String expected = Arrays.deepToString(new String[] {"日本経済新聞", "1292", "1292", "4980", "名詞", "固有名詞", "組織", "*",
-                        "*", "1,0", "日本経済新聞", "ニホンケイザイシンブン", "ニホンケイザイシンブン"});
-        assertEquals(expected, given(input));
-    }
-
-    @Test
-    public void testQuoteEscape() throws Exception {
-        String input = "日本経済新聞,1292,1292,4980,名詞,固有名詞,組織,*,*,\"1,0\",日本経済新聞,ニホンケイザイシンブン,ニホンケイザイシンブン";
-        String expected = "\"日本経済新聞,1292,1292,4980,名詞,固有名詞,組織,*,*,\"\"1,0\"\",日本経済新聞,ニホンケイザイシンブン,ニホンケイザイシンブン\"";
-        assertEquals(expected, parser.escape(input));
-    }
-
-    private String given(String input) {
-        return Arrays.deepToString(parser.parseLine(input));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/JapaneseTokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/JapaneseTokenizerTest.java
deleted file mode 100644
index 518807a01..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/JapaneseTokenizerTest.java
+++ /dev/null
@@ -1,136 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.tokenization.tokenizer;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nlp.japanese.tokenization.tokenizerfactory.JapaneseTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.junit.Test;
-
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertTrue;
-
-public class JapaneseTokenizerTest extends BaseDL4JTest {
-
-    private String toTokenize = "黒い瞳の綺麗な女の子";
-    private String[] expect = {"黒い", "瞳", "の", "綺麗", "な", "女の子"};
-    private String baseString = "驚いた彼は道を走っていった。";
-
-    @Test
-    public void testJapaneseTokenizer() throws Exception {
-        TokenizerFactory t = new JapaneseTokenizerFactory();
-        Tokenizer tokenizer = t.create(toTokenize);
-
-        assertEquals(expect.length, tokenizer.countTokens());
-        for (int i = 0; i < tokenizer.countTokens(); ++i) {
-            assertEquals(tokenizer.nextToken(), expect[i]);
-        }
-    }
-
-    @Test
-    public void testBaseForm() throws Exception {
-        TokenizerFactory tf = new JapaneseTokenizerFactory(true);
-
-        Tokenizer tokenizer1 = tf.create(toTokenize);
-        Tokenizer tokenizer2 = tf.create(baseString);
-
-        assertEquals("黒い", tokenizer1.nextToken());
-        assertEquals("驚く", tokenizer2.nextToken());
-    }
-
-
-    @Test
-    public void testGetTokens() throws Exception {
-        TokenizerFactory tf = new JapaneseTokenizerFactory();
-
-        Tokenizer tokenizer = tf.create(toTokenize);
-
-        // Exhaust iterator.
-        assertEquals(expect.length, tokenizer.countTokens());
-        for (int i = 0; i < tokenizer.countTokens(); ++i) {
-            assertEquals(tokenizer.nextToken(), expect[i]);
-        }
-
-        // Ensure exhausted.
-        assertEquals(false, tokenizer.hasMoreTokens());
-
-        // Count doesn't change.
-        assertEquals(expect.length, tokenizer.countTokens());
-
-        // getTokens still returns everything.
-        List tokens = tokenizer.getTokens();
-        assertEquals(expect.length, tokens.size());
-    }
-
-    @Test
-    public void testKuromojiMultithreading() throws Exception {
-        class Worker implements Runnable {
-            private final JapaneseTokenizerFactory tf;
-            private final String[] jobs;
-            private int runs;
-            private boolean passed = false;
-
-            public Worker(JapaneseTokenizerFactory tf, String[] jobs, int runs) {
-                this.tf = tf;
-                this.jobs = jobs;
-                this.runs = runs;
-            }
-
-            @Override
-            public void run() {
-                while (runs > 0) {
-                    String s = jobs[runs-- % jobs.length];
-                    List tokens = tf.create(s).getTokens();
-                    StringBuilder sb = new StringBuilder();
-                    for (String token : tokens) {
-                        sb.append(token);
-                    }
-
-                    if (sb.toString().length() != s.length()) {
-                        return;
-                    }
-                }
-                passed = true;
-            }
-        }
-
-        JapaneseTokenizerFactory tf = new JapaneseTokenizerFactory();
-
-        String[] work = {toTokenize, baseString, toTokenize, baseString};
-        Worker[] workers = new Worker[10];
-
-        for (int i = 0; i < workers.length; i++) {
-            workers[i] = new Worker(tf, work, 50);
-        }
-
-        Thread[] threads = new Thread[10];
-        for (int i = 0; i < threads.length; i++) {
-            threads[i] = new Thread(workers[i]);
-            threads[i].start();
-        }
-
-        for (Thread thread : threads) {
-            thread.join();
-        }
-
-        for (int i = 0; i < workers.length; i++) {
-            assertTrue(workers[i].passed);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/pom.xml b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/pom.xml
deleted file mode 100644
index be02f45b6..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/pom.xml
+++ /dev/null
@@ -1,74 +0,0 @@
-
-
-
-
-    
-        deeplearning4j-nlp-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    deeplearning4j-nlp-korean_2.11
-
-    
-        
-        2.11.12
-        2.11
-    
-
-    
-        
-            junit
-            junit
-            test
-        
-        
-            org.scala-lang
-            scala-library
-            ${scala.version}
-        
-        
-            com.twitter.penguin
-            korean-text
-            4.4
-        
-        
-            org.deeplearning4j
-            deeplearning4j-nlp
-            ${project.version}
-        
-        
-            org.deeplearning4j
-            deeplearning4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-        
-            test-nd4j-native
-        
-        
-            test-nd4j-cuda-11.0
-        
-    
-
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/main/java/org/deeplearning4j/nlp/korean/tokenization/tokenizer/KoreanTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/main/java/org/deeplearning4j/nlp/korean/tokenization/tokenizer/KoreanTokenizer.java
deleted file mode 100644
index 9c5332542..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/main/java/org/deeplearning4j/nlp/korean/tokenization/tokenizer/KoreanTokenizer.java
+++ /dev/null
@@ -1,83 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.korean.tokenization.tokenizer;
-
-import com.twitter.penguin.korean.KoreanTokenJava;
-import com.twitter.penguin.korean.TwitterKoreanProcessorJava;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import scala.collection.Seq;
-
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-import java.util.NoSuchElementException;
-
-/**
- * Created by kepricon on 16. 10. 20.
- * KoreanTokenizer using KoreanTwitterText (https://github.com/twitter/twitter-korean-text)
- */
-public class KoreanTokenizer implements Tokenizer {
-    private Iterator tokenIter;
-    private List tokenList;
-
-    private TokenPreProcess preProcess;
-
-    public KoreanTokenizer(String toTokenize) {
-
-        // need normalize?
-
-        // Tokenize
-        Seq tokens =
-                        TwitterKoreanProcessorJava.tokenize(toTokenize);
-        tokenList = new ArrayList<>();
-        Iterator iter = TwitterKoreanProcessorJava.tokensToJavaKoreanTokenList(tokens).iterator();
-
-        while (iter.hasNext()) {
-            tokenList.add(iter.next().getText());
-        }
-        tokenIter = tokenList.iterator();
-    }
-
-    @Override
-    public boolean hasMoreTokens() {
-        return tokenIter.hasNext();
-    }
-
-    @Override
-    public int countTokens() {
-        return tokenList.size();
-    }
-
-    @Override
-    public String nextToken() {
-        if (hasMoreTokens() == false) {
-            throw new NoSuchElementException();
-        }
-        return this.preProcess != null ? this.preProcess.preProcess(tokenIter.next()) : tokenIter.next();
-    }
-
-    @Override
-    public List getTokens() {
-        return tokenList;
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess tokenPreProcess) {
-        this.preProcess = tokenPreProcess;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/main/java/org/deeplearning4j/nlp/korean/tokenization/tokenizerfactory/KoreanTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/main/java/org/deeplearning4j/nlp/korean/tokenization/tokenizerfactory/KoreanTokenizerFactory.java
deleted file mode 100644
index a381aef7b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/main/java/org/deeplearning4j/nlp/korean/tokenization/tokenizerfactory/KoreanTokenizerFactory.java
+++ /dev/null
@@ -1,57 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.korean.tokenization.tokenizerfactory;
-
-import org.deeplearning4j.nlp.korean.tokenization.tokenizer.KoreanTokenizer;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-
-import java.io.InputStream;
-
-/**
- * Created by kepricon on 16. 10. 20.
- */
-public class KoreanTokenizerFactory implements TokenizerFactory {
-
-    private TokenPreProcess preProcess;
-
-    public KoreanTokenizerFactory() {}
-
-    @Override
-    public Tokenizer create(String toTokenize) {
-        KoreanTokenizer t = new KoreanTokenizer(toTokenize);
-        t.setTokenPreProcessor(preProcess);
-        return t;
-    }
-
-    @Override
-    public Tokenizer create(InputStream inputStream) {
-        throw new UnsupportedOperationException("Not supported");
-        //        return null;
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess tokenPreProcess) {
-        this.preProcess = tokenPreProcess;
-    }
-
-    @Override
-    public TokenPreProcess getTokenPreProcessor() {
-        return this.preProcess;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/AssertTestsExtendBaseClass.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/AssertTestsExtendBaseClass.java
deleted file mode 100644
index d7c6cbc15..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/AssertTestsExtendBaseClass.java
+++ /dev/null
@@ -1,49 +0,0 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-import lombok.extern.slf4j.Slf4j;
-import java.util.*;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.nd4j.common.tests.AbstractAssertTestsClass;
-
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4JTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alex Black
- * @author Alexander Stoyakin
- */
-@Slf4j
-public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass {
-
-    @Override
-    protected Set> getExclusions() {
-        Set> exclusions = new HashSet<>();
-        return exclusions;
-    }
-
-    @Override
-    protected String getPackageName() {
-        return "org.deeplearning4j";
-    }
-
-    @Override
-    protected Class getBaseClass() {
-        return BaseDL4JTest.class;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/KoreanTokenizerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/KoreanTokenizerTest.java
deleted file mode 100644
index a710f8b53..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/KoreanTokenizerTest.java
+++ /dev/null
@@ -1,44 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.tokenization.tokenizer;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nlp.korean.tokenization.tokenizerfactory.KoreanTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * Created by kepricon on 16. 10. 24.
- */
-public class KoreanTokenizerTest extends BaseDL4JTest {
-    @Test
-    public void testKoreanTokenizer() throws Exception {
-        String toTokenize = "세계 최초의 상용 수준 오픈소스 딥러닝 라이브러리입니다";
-        TokenizerFactory t = new KoreanTokenizerFactory();
-        Tokenizer tokenizer = t.create(toTokenize);
-        String[] expect = {"세계", "최초", "의", "상용", "수준", "오픈소스", "딥", "러닝", "라이브러리", "입니", "다"};
-
-        assertEquals(expect.length, tokenizer.countTokens());
-
-        for (int i = 0; i < tokenizer.countTokens(); ++i) {
-            assertEquals(tokenizer.nextToken(), expect[i]);
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/PerformanceTests.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/PerformanceTests.java
deleted file mode 100644
index f57ef45b3..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-korean/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/PerformanceTests.java
+++ /dev/null
@@ -1,64 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.tokenization.tokenizer;
-
-import lombok.extern.slf4j.Slf4j;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW;
-import org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils;
-import org.deeplearning4j.models.word2vec.VocabWord;
-import org.deeplearning4j.models.word2vec.Word2Vec;
-import org.deeplearning4j.text.sentenceiterator.BasicLineIterator;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.nlp.korean.tokenization.tokenizerfactory.KoreanTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.junit.Ignore;
-import org.junit.Test;
-
-/**
- * @author raver119@gmail.com
- */
-@Slf4j
-public class PerformanceTests extends BaseDL4JTest {
-
-
-    @Ignore
-    @Test
-    public void testWord2VecCBOWBig() throws Exception {
-        SentenceIterator iter = new BasicLineIterator("/home/raver119/Downloads/corpus/namuwiki_raw.txt");
-        //iter = new BasicLineIterator("/home/raver119/Downloads/corpus/ru_sentences.txt");
-        //SentenceIterator iter = new BasicLineIterator("/ext/DATASETS/ru/Socials/ru_sentences.txt");
-
-        TokenizerFactory t = new KoreanTokenizerFactory();
-        //t = new DefaultTokenizerFactory();
-        //t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(5).learningRate(0.025).layerSize(150)
-                        .seed(42).sampling(0).negativeSample(0).useHierarchicSoftmax(true).windowSize(5)
-                        .modelUtils(new BasicModelUtils()).useAdaGrad(false).iterate(iter).workers(8)
-                        .allowParallelTokenization(true).tokenizerFactory(t)
-                        .elementsLearningAlgorithm(new CBOW()).build();
-
-        long time1 = System.currentTimeMillis();
-
-        vec.fit();
-
-        long time2 = System.currentTimeMillis();
-
-        log.info("Total execution time: {}", (time2 - time1));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/pom.xml b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/pom.xml
deleted file mode 100644
index 7ec64d395..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/pom.xml
+++ /dev/null
@@ -1,117 +0,0 @@
-
-
-
-    
-        deeplearning4j-nlp-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    deeplearning4j-nlp-uima
-    jar
-
-    deeplearning4j-nlp-uima
-
-    
-        UTF-8
-    
-
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
-
-    
-        
-            org.cleartk
-            cleartk-snowball
-            ${cleartk.version}
-        
-        
-            org.cleartk
-            cleartk-opennlp-tools
-            ${cleartk.version}
-        
-        
-            org.deeplearning4j
-            deeplearning4j-nlp
-            ${project.version}
-        
-        
-            junit
-            junit
-        
-
-        
-          org.mockito
-          mockito-core
-          ${mockito.version}
-          test
-        
-
-        
-            ch.qos.logback
-            logback-classic
-            test
-        
-
-        
-            org.deeplearning4j
-            deeplearning4j-ui
-            ${project.version}
-            test
-        
-
-        
-            org.deeplearning4j
-            deeplearning4j-common-tests
-            ${project.version}
-            test
-            
-            
-                
-                    org.springframework
-                    spring-core
-                
-            
-        
-    
-
-    
-        
-            test-nd4j-native
-        
-        
-            test-nd4j-cuda-11.0
-        
-    
-
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/PoStagger.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/PoStagger.java
deleted file mode 100644
index 66d5f9290..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/PoStagger.java
+++ /dev/null
@@ -1,236 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.annotator;
-
-import opennlp.tools.postag.POSModel;
-import opennlp.tools.postag.POSTaggerME;
-import opennlp.uima.postag.POSModelResource;
-import opennlp.uima.postag.POSModelResourceImpl;
-import opennlp.uima.util.AnnotationComboIterator;
-import opennlp.uima.util.AnnotationIteratorPair;
-import opennlp.uima.util.AnnotatorUtil;
-import opennlp.uima.util.UimaUtil;
-import org.apache.uima.UimaContext;
-import org.apache.uima.analysis_engine.AnalysisEngineDescription;
-import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.cas.Feature;
-import org.apache.uima.cas.Type;
-import org.apache.uima.cas.TypeSystem;
-import org.apache.uima.cas.text.AnnotationFS;
-import org.apache.uima.fit.component.CasAnnotator_ImplBase;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.fit.factory.ExternalResourceFactory;
-import org.apache.uima.resource.ResourceAccessException;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.apache.uima.util.Level;
-import org.apache.uima.util.Logger;
-import org.cleartk.token.type.Sentence;
-import org.cleartk.token.type.Token;
-import org.deeplearning4j.text.movingwindow.Util;
-
-import java.util.Iterator;
-import java.util.LinkedList;
-import java.util.List;
-
-
-
-public class PoStagger extends CasAnnotator_ImplBase {
-
-    static {
-        //UIMA logging
-        Util.disableLogging();
-    }
-
-    private POSTaggerME posTagger;
-
-    private Type sentenceType;
-
-    private Type tokenType;
-
-    private Feature posFeature;
-
-    private Feature probabilityFeature;
-
-    private UimaContext context;
-
-    private Logger logger;
-
-    /**
-     * Initializes a new instance.
-     * 
-     * Note: Use {@link #initialize(UimaContext) } to initialize this instance. Not use the
-     * constructor.
-     */
-    public PoStagger() {
-        // must not be implemented !
-    }
-
-    /**
-     * Initializes the current instance with the given context.
-     * 
-     * Note: Do all initialization in this method, do not use the constructor.
-     */
-    @Override
-    public void initialize(UimaContext context) throws ResourceInitializationException {
-
-        super.initialize(context);
-
-        this.context = context;
-
-        this.logger = context.getLogger();
-
-        if (this.logger.isLoggable(Level.INFO)) {
-            this.logger.log(Level.INFO, "Initializing the OpenNLP " + "Part of Speech annotator.");
-        }
-
-        POSModel model;
-
-        try {
-            POSModelResource modelResource = (POSModelResource) context.getResourceObject(UimaUtil.MODEL_PARAMETER);
-
-            model = modelResource.getModel();
-        } catch (ResourceAccessException e) {
-            throw new ResourceInitializationException(e);
-        }
-
-        Integer beamSize = AnnotatorUtil.getOptionalIntegerParameter(context, UimaUtil.BEAM_SIZE_PARAMETER);
-
-        if (beamSize == null)
-            beamSize = POSTaggerME.DEFAULT_BEAM_SIZE;
-
-        this.posTagger = new POSTaggerME(model, beamSize, 0);
-    }
-
-    /**
-     * Initializes the type system.
-     */
-    @Override
-    public void typeSystemInit(TypeSystem typeSystem) throws AnalysisEngineProcessException {
-
-        // sentence type
-        this.sentenceType = AnnotatorUtil.getRequiredTypeParameter(this.context, typeSystem,
-                        UimaUtil.SENTENCE_TYPE_PARAMETER);
-
-        // token type
-        this.tokenType = AnnotatorUtil.getRequiredTypeParameter(this.context, typeSystem,
-                        UimaUtil.TOKEN_TYPE_PARAMETER);
-
-        // pos feature
-        this.posFeature = AnnotatorUtil.getRequiredFeatureParameter(this.context, this.tokenType,
-                        UimaUtil.POS_FEATURE_PARAMETER, CAS.TYPE_NAME_STRING);
-
-        this.probabilityFeature = AnnotatorUtil.getOptionalFeatureParameter(this.context, this.tokenType,
-                        UimaUtil.PROBABILITY_FEATURE_PARAMETER, CAS.TYPE_NAME_DOUBLE);
-    }
-
-    /**
-     * Performs pos-tagging on the given tcas object.
-     */
-    @Override
-    public synchronized void process(CAS tcas) {
-
-        final AnnotationComboIterator comboIterator =
-                        new AnnotationComboIterator(tcas, this.sentenceType, this.tokenType);
-
-        for (AnnotationIteratorPair annotationIteratorPair : comboIterator) {
-
-            final List sentenceTokenAnnotationList = new LinkedList<>();
-
-            final List sentenceTokenList = new LinkedList<>();
-
-            for (AnnotationFS tokenAnnotation : annotationIteratorPair.getSubIterator()) {
-
-                sentenceTokenAnnotationList.add(tokenAnnotation);
-
-                sentenceTokenList.add(tokenAnnotation.getCoveredText());
-            }
-
-            final List posTags = this.posTagger.tag(sentenceTokenList);
-
-            double posProbabilities[] = null;
-
-            if (this.probabilityFeature != null) {
-                posProbabilities = this.posTagger.probs();
-            }
-
-            final Iterator posTagIterator = posTags.iterator();
-            final Iterator sentenceTokenIterator = sentenceTokenAnnotationList.iterator();
-
-            int index = 0;
-            while (posTagIterator.hasNext() && sentenceTokenIterator.hasNext()) {
-                final String posTag = posTagIterator.next();
-                final AnnotationFS tokenAnnotation = sentenceTokenIterator.next();
-
-                tokenAnnotation.setStringValue(this.posFeature, posTag);
-
-                if (posProbabilities != null) {
-                    tokenAnnotation.setDoubleValue(this.posFeature, posProbabilities[index]);
-                }
-
-                index++;
-            }
-
-            // log tokens with pos
-            if (this.logger.isLoggable(Level.FINER)) {
-
-                final StringBuilder sentenceWithPos = new StringBuilder();
-
-                sentenceWithPos.append("\"");
-
-                for (final Iterator it = sentenceTokenAnnotationList.iterator(); it.hasNext();) {
-                    final AnnotationFS token = it.next();
-                    sentenceWithPos.append(token.getCoveredText());
-                    sentenceWithPos.append('\\');
-                    sentenceWithPos.append(token.getStringValue(this.posFeature));
-                    sentenceWithPos.append(' ');
-                }
-
-                // delete last whitespace
-                if (sentenceWithPos.length() > 1) // not 0 because it contains already the " char
-                    sentenceWithPos.setLength(sentenceWithPos.length() - 1);
-
-                sentenceWithPos.append("\"");
-
-                this.logger.log(Level.FINER, sentenceWithPos.toString());
-            }
-        }
-    }
-
-    /**
-     * Releases allocated resources.
-     */
-    @Override
-    public void destroy() {
-        this.posTagger = null;
-    }
-
-
-    public static AnalysisEngineDescription getDescription(String languageCode) throws ResourceInitializationException {
-        String modelPath = String.format("/models/%s-pos-maxent.bin", languageCode);
-        return AnalysisEngineFactory.createEngineDescription(PoStagger.class,
-                        opennlp.uima.util.UimaUtil.MODEL_PARAMETER,
-                        ExternalResourceFactory.createExternalResourceDescription(POSModelResourceImpl.class,
-                                        PoStagger.class.getResource(modelPath).toString()),
-                        opennlp.uima.util.UimaUtil.SENTENCE_TYPE_PARAMETER, Sentence.class.getName(),
-                        opennlp.uima.util.UimaUtil.TOKEN_TYPE_PARAMETER, Token.class.getName(),
-                        opennlp.uima.util.UimaUtil.POS_FEATURE_PARAMETER, "pos");
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/SentenceAnnotator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/SentenceAnnotator.java
deleted file mode 100644
index d3b67366c..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/SentenceAnnotator.java
+++ /dev/null
@@ -1,48 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.annotator;
-
-import org.apache.uima.analysis_engine.AnalysisEngineDescription;
-import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.jcas.JCas;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.cleartk.util.ParamUtil;
-import org.deeplearning4j.text.movingwindow.Util;
-
-public class SentenceAnnotator extends org.cleartk.opennlp.tools.SentenceAnnotator {
-
-    static {
-        //UIMA logging
-        Util.disableLogging();
-    }
-
-    public static AnalysisEngineDescription getDescription() throws ResourceInitializationException {
-        return AnalysisEngineFactory.createPrimitiveDescription(SentenceAnnotator.class, PARAM_SENTENCE_MODEL_PATH,
-                        ParamUtil.getParameterValue(PARAM_SENTENCE_MODEL_PATH, "/models/en-sent.bin"),
-                        PARAM_WINDOW_CLASS_NAMES, ParamUtil.getParameterValue(PARAM_WINDOW_CLASS_NAMES, null));
-    }
-
-
-    @Override
-    public synchronized void process(JCas jCas) throws AnalysisEngineProcessException {
-        super.process(jCas);
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/StemmerAnnotator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/StemmerAnnotator.java
deleted file mode 100644
index 87a0121e8..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/StemmerAnnotator.java
+++ /dev/null
@@ -1,54 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.annotator;
-
-import org.apache.uima.analysis_engine.AnalysisEngineDescription;
-import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.jcas.JCas;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.cleartk.snowball.SnowballStemmer;
-import org.cleartk.token.type.Token;
-
-
-public class StemmerAnnotator extends SnowballStemmer {
-
-    public static AnalysisEngineDescription getDescription() throws ResourceInitializationException {
-        return getDescription("English");
-    }
-
-
-    public static AnalysisEngineDescription getDescription(String language) throws ResourceInitializationException {
-        return AnalysisEngineFactory.createPrimitiveDescription(StemmerAnnotator.class,
-                        SnowballStemmer.PARAM_STEMMER_NAME, language);
-    }
-
-
-    @SuppressWarnings("unchecked")
-    @Override
-    public synchronized void process(JCas jCas) throws AnalysisEngineProcessException {
-        super.process(jCas);
-    }
-
-
-
-    @Override
-    public void setStem(Token token, String stem) {
-        token.setStem(stem);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/TokenizerAnnotator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/TokenizerAnnotator.java
deleted file mode 100644
index 4fefa2db5..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/annotator/TokenizerAnnotator.java
+++ /dev/null
@@ -1,65 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.annotator;
-
-import opennlp.uima.tokenize.TokenizerModelResourceImpl;
-import org.apache.uima.analysis_engine.AnalysisEngineDescription;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.fit.factory.ExternalResourceFactory;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.cleartk.opennlp.tools.Tokenizer;
-import org.cleartk.token.type.Sentence;
-import org.cleartk.token.type.Token;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizer.ConcurrentTokenizer;
-import org.deeplearning4j.text.movingwindow.Util;
-
-import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription;
-
-
-/**
- * Overrides OpenNLP tokenizer to be thread safe
- */
-public class TokenizerAnnotator extends Tokenizer {
-
-    static {
-        //UIMA logging
-        Util.disableLogging();
-    }
-
-    public static AnalysisEngineDescription getDescription(String languageCode) throws ResourceInitializationException {
-        String modelPath = String.format("/models/%s-token.bin", languageCode);
-        return AnalysisEngineFactory.createEngineDescription(ConcurrentTokenizer.class, opennlp.uima.util.UimaUtil.MODEL_PARAMETER,
-                        ExternalResourceFactory.createExternalResourceDescription(TokenizerModelResourceImpl.class,
-                                        ConcurrentTokenizer.class.getResource(modelPath).toString()),
-                        opennlp.uima.util.UimaUtil.SENTENCE_TYPE_PARAMETER, Sentence.class.getName(),
-                        opennlp.uima.util.UimaUtil.TOKEN_TYPE_PARAMETER, Token.class.getName());
-    }
-
-
-
-    public static AnalysisEngineDescription getDescription() throws ResourceInitializationException {
-        String modelPath = String.format("/models/%s-token.bin", "en");
-        return createEngineDescription(ConcurrentTokenizer.class, opennlp.uima.util.UimaUtil.MODEL_PARAMETER,
-                        ExternalResourceFactory.createExternalResourceDescription(TokenizerModelResourceImpl.class,
-                                        ConcurrentTokenizer.class.getResource(modelPath).toString()),
-                        opennlp.uima.util.UimaUtil.SENTENCE_TYPE_PARAMETER, Sentence.class.getName(),
-                        opennlp.uima.util.UimaUtil.TOKEN_TYPE_PARAMETER, Token.class.getName());
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/sentiwordnet/SWN3.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/sentiwordnet/SWN3.java
deleted file mode 100644
index 7f77373ec..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/sentiwordnet/SWN3.java
+++ /dev/null
@@ -1,248 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.sentiwordnet;
-
-import lombok.extern.slf4j.Slf4j;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizerfactory.UimaTokenizerFactory;
-import org.nd4j.shade.guava.collect.Sets;
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.cas.CASException;
-import org.apache.uima.fit.util.JCasUtil;
-import org.cleartk.token.type.Sentence;
-import org.cleartk.token.type.Token;
-import org.nd4j.common.io.ClassPathResource;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.io.Serializable;
-import java.util.*;
-
-/**
- * Based on SentiWordnet
- * @author Adam Gibson
- *
- */
-@Slf4j
-public class SWN3 implements Serializable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = -2614454572930777658L;
-    private HashMap _dict;
-    private Set negationWords = Sets.newHashSet("could", "would", "should", "not", "isn't", "aren't", "wasn't",
-                    "weren't", "haven't", "doesn't", "didn't", "don't");
-    private AnalysisEngine analysisEngine;
-
-    public SWN3() throws Exception {
-        this(UimaTokenizerFactory.defaultAnalysisEngine());
-    }
-
-    public SWN3(AnalysisEngine analysisEngine) {
-        this("/sentiment/sentiwordnet.txt");
-        this.analysisEngine = analysisEngine;
-    }
-
-    public SWN3(String sentiWordNetPath) {
-
-        _dict = new HashMap<>();
-        HashMap> _temp = new HashMap<>();
-
-        ClassPathResource resource = new ClassPathResource(sentiWordNetPath);
-        BufferedReader csv = null;
-        try {
-            csv = new BufferedReader(new InputStreamReader(resource.getInputStream()));
-            String line = "";
-            while ((line = csv.readLine()) != null) {
-                if (line.isEmpty())
-                    continue;
-                String[] data = line.split("\t");
-
-                if (data[2].isEmpty() || data[3].isEmpty())
-                    continue;
-                Double score = Double.parseDouble(data[2]) - Double.parseDouble(data[3]);
-                String[] words = data[4].split(" ");
-                for (String w : words) {
-                    if (w.isEmpty())
-                        continue;
-
-                    String[] w_n = w.split("#");
-                    w_n[0] += "#" + data[0];
-                    int index = Integer.parseInt(w_n[1]) - 1;
-                    if (_temp.containsKey(w_n[0])) {
-                        List l = _temp.get(w_n[0]);
-                        if (index > l.size())
-                            for (int i = l.size(); i < index; i++)
-                                l.add(0.0);
-                        l.add(index, score);
-                        _temp.put(w_n[0], l);
-                    } else {
-                        List l = new ArrayList<>();
-                        for (int i = 0; i < index; i++)
-                            l.add(0.0);
-                        l.add(index, score);
-                        _temp.put(w_n[0], l);
-                    }
-                }
-            }
-
-
-            Set temp = _temp.keySet();
-            for (Iterator iterator = temp.iterator(); iterator.hasNext();) {
-                String word = iterator.next();
-                List l = _temp.get(word);
-                double score = 0.0;
-                double sum = 0.0;
-                for (int i = 0; i < l.size(); i++)
-                    score += ((double) 1 / (double) (i + 1)) * l.get(i);
-                for (int i = 1; i <= l.size(); i++)
-                    sum += (double) 1 / (double) i;
-                score /= sum;
-                _dict.put(word, score);
-            }
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        } finally {
-            if (csv != null) {
-                try {
-                    csv.close();
-                } catch (IOException e) {
-                    log.error("",e);
-                }
-            }
-        }
-    }
-
-
-    /**
-     * Classifies the given text
-     * @param text the text to classify
-     * @return the classification for the text
-     * @throws Exception
-     */
-    public String classify(String text) throws Exception {
-        return this.classForScore(score(text));
-    }
-
-    /**
-     * Scores the text
-     * @param words the text to score
-     * @return the score (polarity) for the text
-     * @throws Exception
-     */
-    public double score(String words) throws Exception {
-        CAS cas = analysisEngine.newCAS();
-        cas.setDocumentText(words);
-        analysisEngine.process(cas);
-        return score(cas);
-    }
-
-
-    public String classForScore(Double score) {
-        String sent = "neutral";
-        if (score >= 0.75)
-            sent = "strong_positive";
-        else if (score > 0.25 && score <= 0.5)
-            sent = "positive";
-        else if (score > 0 && score >= 0.25)
-            sent = "weak_positive";
-        else if (score < 0 && score >= -0.25)
-            sent = "weak_negative";
-        else if (score < -0.25 && score >= -0.5)
-            sent = "negative";
-        else if (score <= -0.75)
-            sent = "strong_negative";
-        return sent;
-    }
-
-
-    public String classify(CAS cas) throws CASException {
-        return classForScore(score(cas));
-    }
-
-
-
-    public double scoreTokens(List tokens) {
-        double totalScore = 0.0;
-        Set negativeWords = new HashSet<>();
-        double scoreForSentence = 0.0;
-        for (Token token : tokens) {
-            scoreForSentence += extract(token.getCoveredText().toLowerCase());
-            if (negationWords.contains(token.getCoveredText())) {
-                negativeWords.add(token.getCoveredText());
-            }
-        }
-        //flip for context
-        if (!negativeWords.isEmpty()) {
-            scoreForSentence *= -1.0;
-        }
-
-        totalScore += scoreForSentence;
-        return totalScore;
-    }
-
-
-
-    public double score(CAS cas) throws CASException {
-        double totalScore = 0.0;
-        for (Sentence sentence : JCasUtil.select(cas.getJCas(), Sentence.class)) {
-            totalScore += scoreTokens(JCasUtil.selectCovered(Token.class, sentence));
-        }
-
-        return totalScore;
-    }
-
-
-    public String classify(Sentence sentence) {
-        double totalScore = 0.0;
-        for (Token token : JCasUtil.selectCovered(Token.class, sentence)) {
-            totalScore += extract(token.getCoveredText().toLowerCase());
-        }
-        return classForScore(totalScore);
-    }
-
-
-    public double score(Sentence sentence) {
-        double totalScore = 0.0;
-        for (Token token : JCasUtil.selectCovered(Token.class, sentence)) {
-            totalScore += extract(token.getCoveredText().toLowerCase());
-        }
-        return totalScore;
-    }
-
-
-    public Double extract(String word) {
-        double total = 0.0;
-        if (_dict.get(word + "#n") != null)
-            total = _dict.get(word + "#n") + total;
-        if (_dict.get(word + "#a") != null)
-            total = _dict.get(word + "#a") + total;
-        if (_dict.get(word + "#r") != null)
-            total = _dict.get(word + "#r") + total;
-        if (_dict.get(word + "#v") != null)
-            total = _dict.get(word + "#v") + total;
-        return total;
-    }
-
-
-    public static void main(String[] args) {
-        SWN3 swn = new SWN3("/sentiment/sentiwordnet.txt");
-        System.out.println(swn.classForScore(swn.extract("sad")));
-
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/BinarizeTreeTransformer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/BinarizeTreeTransformer.java
deleted file mode 100644
index ea1081d4e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/BinarizeTreeTransformer.java
+++ /dev/null
@@ -1,148 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-import org.apache.commons.lang3.StringUtils;
-import org.deeplearning4j.nlp.uima.corpora.treeparser.transformer.TreeTransformer;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-import org.nd4j.common.primitives.Pair;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.*;
-
-/**
- * Binarizes trees.
- * Based on the work by Manning et. al in stanford corenlp
- *
- * @author Adam Gibson
- */
-public class BinarizeTreeTransformer implements TreeTransformer {
-
-    private String factor = "left";
-    private int horizontonalMarkov = 999;
-
-
-
-    private static final Logger log = LoggerFactory.getLogger(BinarizeTreeTransformer.class);
-
-    @Override
-    public Tree transform(Tree t) {
-        if (t == null)
-            return null;
-        Deque> stack = new ArrayDeque<>();
-        stack.add(new Pair<>(t, t.label()));
-        String originalLabel = t.label();
-        while (!stack.isEmpty()) {
-            Pair curr = stack.pop();
-            Tree node = curr.getFirst();
-
-            for (Tree child : node.children())
-                stack.add(new Pair<>(child, curr.getSecond()));
-
-
-            if (node.children().size() > 2) {
-
-                List children = new ArrayList<>();
-                for (int i = 0; i < node.children().size(); i++)
-                    children.add(node.children().get(i).label());
-
-                Tree copy = node.clone();
-                //clear out children
-                node.children().clear();
-
-                Tree currNode = node;
-
-                for (int i = 1; i < children.size() - 1; i++) {
-                    if (factor.equals("right")) {
-                        Tree newNode = new Tree(currNode);
-
-                        List subChildren =
-                                        children.subList(i, Math.min(i + horizontonalMarkov, children.size()));
-
-                        newNode.setLabel(originalLabel + "-" + "(" + StringUtils.join(subChildren, "-"));
-
-                        newNode.setParent(currNode);
-
-                        currNode.children().add(copy.children().remove(0));
-
-                        currNode.firstChild().setParent(currNode);
-
-                        currNode.children().add(newNode);
-
-                        currNode = newNode;
-
-                    } else {
-                        Tree newNode = new Tree(currNode);
-
-                        newNode.setParent(copy.firstChild());
-
-                        List childLabels =
-                                        children.subList(Math.max(children.size() - i - horizontonalMarkov, 0), i);
-
-                        Collections.reverse(childLabels);
-                        newNode.setLabel(originalLabel + "-" + "(" + StringUtils.join(childLabels, "-"));
-
-                        currNode.children().add(newNode);
-
-                        currNode.firstChild().setParent(currNode);
-
-                        currNode.children().add(copy.children().remove(copy.children().size() - 1));
-                        currNode.lastChild().setParent(currNode);
-
-                        currNode = newNode;
-                    }
-                }
-
-                currNode.children().addAll(new ArrayList<>(copy.children()));
-            }
-        }
-
-        addPreTerminal(t);
-        return t;
-    }
-
-    private void addPreTerminal(Tree t) {
-        if (t.isLeaf()) {
-            Tree newLeaf = new Tree(t);
-            newLeaf.setLabel(t.value());
-            t.children().add(newLeaf);
-            newLeaf.setParent(t);
-        } else {
-            for (Tree child : t.children())
-                addPreTerminal(child);
-        }
-    }
-
-
-    private void checkState(Tree tree, Set nonBinarized) {
-        for (Tree t : tree.children()) {
-            checkState(t, nonBinarized);
-        }
-
-        if (tree.children().size() > 2) {
-            Tree parent = tree.parent();
-            if (parent == null)
-                return;
-            nonBinarized.add(tree);
-
-        }
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/CollapseUnaries.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/CollapseUnaries.java
deleted file mode 100644
index ea7b8a0aa..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/CollapseUnaries.java
+++ /dev/null
@@ -1,57 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-import org.deeplearning4j.nlp.uima.corpora.treeparser.transformer.TreeTransformer;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * Collapse unaries such that the
- * tree is only made of preterminals and leaves.
- *
- * @author Adam Gibson
- */
-public class CollapseUnaries implements TreeTransformer {
-
-
-    @Override
-    public Tree transform(Tree tree) {
-        if (tree.isPreTerminal() || tree.isLeaf()) {
-            return tree;
-        }
-
-        List children = tree.children();
-        while (children.size() == 1 && !children.get(0).isLeaf()) {
-            children = children.get(0).children();
-        }
-
-        List processed = new ArrayList<>();
-        for (Tree child : children)
-            processed.add(transform(child));
-
-        Tree ret = new Tree(tree);
-        ret.connect(processed);
-
-        return ret;
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/HeadWordFinder.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/HeadWordFinder.java
deleted file mode 100644
index 88c762aa2..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/HeadWordFinder.java
+++ /dev/null
@@ -1,158 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-
-import java.util.*;
-
-public class HeadWordFinder {
-
-    static final String[] head1 = {"ADJP JJ", "ADJP JJR", "ADJP JJS", "ADVP RB", "ADVP RBB", "LST LS", "NAC NNS",
-                    "NAC NN", "NAC PRP", "NAC NNPS", "NAC NNP", "NX NNS", "NX NN", "NX PRP", "NX NNPS", "NX NNP",
-                    "NP NNS", "NP NN", "NP PRP", "NP NNPS", "NP NNP", "NP POS", "NP $", "PP IN", "PP TO", "PP RP",
-                    "PRT RP", "S VP", "S1 S", "SBAR IN", "SBAR WHNP", "SBARQ SQ", "SBARQ VP", "SINV VP", "SQ MD",
-                    "SQ AUX", "VP VB", "VP VBZ", "VP VBP", "VP VBG", "VP VBN", "VP VBD", "VP AUX", "VP AUXG", "VP TO",
-                    "VP MD", "WHADJP WRB", "WHADVP WRB", "WHNP WP", "WHNP WDT", "WHNP WP$", "WHPP IN", "WHPP TO"};
-
-    static final String[] head2 = {"ADJP VBN", "ADJP RB", "NAC NP", "NAC CD", "NAC FW", "NAC ADJP", "NAC JJ", "NX NP",
-                    "NX CD", "NX FW", "NX ADJP", "NX JJ", "NP CD", "NP ADJP", "NP JJ", "S SINV", "S SBARQ", "S X",
-                    "PRT RB", "PRT IN", "SBAR WHADJP", "SBAR WHADVP", "SBAR WHPP", "SBARQ S", "SBARQ SINV", "SBARQ X",
-                    "SINV SBAR", "SQ VP"};
-
-    static final String[] term = {"AUX", "AUXG", "CC", "CD", "DT", "EX", "FW", "IN", "JJ", "JJR", "JJS", "LS", "MD",
-                    "NN", "NNS", "NNP", "NNPS", "PDT", "POS", "PRP", "PRP$", "RB", "RBR", "RBS", "RP", "SYM", "TO",
-                    "UH", "VB", "VBD", "VBG", "VBN", "VBP", "VBZ", "WDT", "WP", "WP$", "WRB", "#", "$", ".", ",", ":",
-                    "-RRB-", "-LRB-", "``", "''", "EOS"};
-
-    static final String[] punc = {"#", "$", ".", ",", ":", "-RRB-", "-LRB-", "``", "''"};
-
-    static Set headRules1;
-
-    static Set headRules2;
-
-    static Set terminals;
-
-    static Set punctuations;
-
-    static Map cache;
-
-    static Boolean setsInitialized = false;
-
-    static void buildSets() {
-        synchronized (setsInitialized) {
-            if (setsInitialized)
-                return;
-            HeadWordFinder.headRules1 = new HashSet<>(Arrays.asList(HeadWordFinder.head1));
-            HeadWordFinder.headRules2 = new HashSet<>(Arrays.asList(HeadWordFinder.head2));
-            HeadWordFinder.terminals = new HashSet<>(Arrays.asList(HeadWordFinder.term));
-            HeadWordFinder.punctuations = new HashSet<>(Arrays.asList(HeadWordFinder.punc));
-            HeadWordFinder.cache = new HashMap<>();
-            setsInitialized = true;
-        }
-    }
-
-
-    boolean includePPHead;
-
-    public HeadWordFinder(boolean includePPHead) {
-        this.includePPHead = includePPHead;
-        HeadWordFinder.buildSets();
-    }
-
-    public HeadWordFinder() {
-        this(false);
-    }
-
-
-    /**
-     * Finds the bottom most head
-     * @param parentNode the bottom most head
-     * @return the bottom most head (no children) for the given parent
-     */
-    public Tree findHead(Tree parentNode) {
-        Tree cursor = parentNode.getType().equals("TOP") ? parentNode.firstChild() : parentNode;
-
-        while (cursor.children() != null && !cursor.children().isEmpty())
-            cursor = findHead2(cursor);
-
-        return cursor;
-    }
-
-    public Tree findHead2(Tree parentNode) {
-        List childNodes = parentNode.children();
-        List childTypes = new ArrayList<>(childNodes.size());
-
-        String parentType = parentNode.getType();
-
-        for (Tree childNode : childNodes)
-            childTypes.add(childNode.getType());
-
-        int headIndex = findHead3(parentType, childTypes);
-
-        return childNodes.get(headIndex);
-    }
-
-    int findHead3(String lhs, List rhss) {
-        StringBuilder keyBuffer = new StringBuilder(lhs + " ->");
-        for (String rhs : rhss)
-            keyBuffer.append(" " + rhs);
-        String key = keyBuffer.toString();
-
-        synchronized (HeadWordFinder.cache) {
-            if (cache.containsKey(key)) {
-                return cache.get(key);
-            }
-        }
-
-        int currentBestGuess = -1;
-        int currentGuessUncertainty = 10;
-
-        for (int current = 0; current < rhss.size(); current++) {
-            String rhs = rhss.get(current);
-            String rule = lhs + " " + rhs;
-
-            if (currentGuessUncertainty >= 1 && headRules1.contains(rule)) {
-                currentBestGuess = current;
-                currentGuessUncertainty = 1;
-            } else if (currentGuessUncertainty > 2 && lhs != null && lhs.equals(rhs)) {
-                currentBestGuess = current;
-                currentGuessUncertainty = 2;
-            } else if (currentGuessUncertainty >= 3 && headRules2.contains(rule)) {
-                currentBestGuess = current;
-                currentGuessUncertainty = 3;
-            } else if (currentGuessUncertainty >= 5 && !terminals.contains(rhs) && rhs != null && !rhs.equals("PP")) {
-                currentBestGuess = current;
-                currentGuessUncertainty = 5;
-            } else if (currentGuessUncertainty >= 6 && !terminals.contains(rhs)) {
-                currentBestGuess = current;
-                currentGuessUncertainty = 6;
-            } else if (currentGuessUncertainty >= 7) {
-                currentBestGuess = current;
-                currentGuessUncertainty = 7;
-            }
-        }
-
-        synchronized (HeadWordFinder.cache) {
-            cache.put(key, currentBestGuess);
-        }
-
-        return currentBestGuess;
-    }
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeFactory.java
deleted file mode 100644
index acdb6884e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeFactory.java
+++ /dev/null
@@ -1,185 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-
-import org.apache.uima.fit.util.FSCollectionFactory;
-import org.apache.uima.fit.util.JCasUtil;
-import org.apache.uima.jcas.tcas.Annotation;
-import org.cleartk.syntax.constituent.type.TreebankNode;
-import org.cleartk.syntax.constituent.type.TreebankNodeUtil;
-import org.cleartk.token.type.Token;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-import org.nd4j.common.collection.MultiDimensionalMap;
-import org.nd4j.common.primitives.Pair;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.List;
-
-/**
- *
- * Static movingwindow class handling the conversion of
- * treebank nodes to Trees useful
- * for recursive neural tensor networks
- *
- * @author Adam Gibson
- */
-public class TreeFactory {
-
-
-    private TreeFactory() {}
-
-    /**
-     * Builds a tree recursively
-     * adding the children as necessary
-     * @param node the node to build the tree based on
-     * @param labels the labels to assign for each span
-     * @return the compiled tree with all of its children
-     * and childrens' children recursively
-     * @throws Exception
-     */
-    public static Tree buildTree(TreebankNode node, Pair> labels,
-                    List possibleLabels) throws Exception {
-        if (node.getLeaf())
-            return toTree(node);
-        else {
-            List preChildren = children(node);
-            List children = new ArrayList<>();
-            Tree t = toTree(node);
-            for (Pair interval : labels.getSecond().keySet()) {
-                if (inRange(interval.getFirst(), interval.getSecond(), t)) {
-                    t.setGoldLabel(possibleLabels
-                                    .indexOf(labels.getSecond().get(interval.getFirst(), interval.getSecond())));
-                    break;
-                }
-            }
-
-            for (int i = 0; i < preChildren.size(); i++) {
-                children.add(buildTree(preChildren.get(i)));
-            }
-
-            t.connect(children);
-            return t;
-
-        }
-    }
-
-    /**
-     * Converts a treebank node to a tree
-     * @param node the node to convert
-     * @param labels the labels to assign for each span
-     * @return the tree with the same tokens and type as
-     * the given tree bank node
-     * @throws Exception
-     */
-    public static Tree toTree(TreebankNode node, Pair> labels)
-                    throws Exception {
-        List tokens = tokens(node);
-        Tree ret = new Tree(tokens);
-        ret.setValue(node.getNodeValue());
-        ret.setLabel(node.getNodeType());
-        ret.setType(node.getNodeType());
-        ret.setBegin(node.getBegin());
-        ret.setEnd(node.getEnd());
-        ret.setParse(TreebankNodeUtil.toTreebankString(node));
-        if (node.getNodeTags() != null)
-            ret.setTags(tags(node));
-        else
-            ret.setTags(Arrays.asList(node.getNodeType()));
-        return ret;
-    }
-
-
-
-    /**
-     * Builds a tree recursively
-     * adding the children as necessary
-     * @param node the node to build the tree based on
-     * @return the compiled tree with all of its children
-     * and childrens' children recursively
-     * @throws Exception
-     */
-    public static Tree buildTree(TreebankNode node) throws Exception {
-        if (node.getLeaf())
-            return toTree(node);
-        else {
-            List preChildren = children(node);
-            List children = new ArrayList<>();
-            Tree t = toTree(node);
-            for (int i = 0; i < preChildren.size(); i++) {
-                children.add(buildTree(preChildren.get(i)));
-            }
-
-            t.connect(children);
-            return t;
-
-        }
-
-
-
-    }
-
-    /**
-     * Converts a treebank node to a tree
-     * @param node the node to convert
-     * @return the tree with the same tokens and type as
-     * the given tree bank node
-     * @throws Exception
-     */
-    public static Tree toTree(TreebankNode node) throws Exception {
-        List tokens = tokens(node);
-        Tree ret = new Tree(tokens);
-        ret.setValue(node.getNodeValue());
-        ret.setLabel(node.getNodeType());
-        ret.setType(node.getNodeType());
-        ret.setBegin(node.getBegin());
-        ret.setEnd(node.getEnd());
-        ret.setParse(TreebankNodeUtil.toTreebankString(node));
-        if (node.getNodeTags() != null)
-            ret.setTags(tags(node));
-        else
-            ret.setTags(Arrays.asList(node.getNodeType()));
-        return ret;
-    }
-
-
-    private static List tags(TreebankNode node) {
-        List ret = new ArrayList<>();
-        for (int i = 0; i < node.getNodeTags().size(); i++)
-            ret.add(node.getNodeTags(i));
-        return ret;
-    }
-
-
-    private static List children(TreebankNode node) {
-        return new ArrayList<>(FSCollectionFactory.create(node.getChildren(), TreebankNode.class));
-    }
-
-    private static List tokens(Annotation ann) throws Exception {
-        List ret = new ArrayList<>();
-        for (Token t : JCasUtil.select(ann.getCAS().getJCas(), Token.class)) {
-            ret.add(t.getCoveredText());
-        }
-        return ret;
-    }
-
-    private static boolean inRange(int begin, int end, Tree tree) {
-        return tree.getBegin() >= begin && tree.getEnd() <= end;
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeIterator.java
deleted file mode 100644
index 16319e76e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeIterator.java
+++ /dev/null
@@ -1,114 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-import org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator;
-
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * Tree iterator: iterate over sentences
- * returning trees with labels and everything already
- * preset
- *
- * @author Adam Gibson
- */
-public class TreeIterator implements Iterator> {
-
-    private LabelAwareSentenceIterator sentenceIterator;
-    private List labels;
-    private TreeVectorizer treeVectorizer;
-    private int batchSize = 3;
-
-
-
-    public TreeIterator(LabelAwareSentenceIterator sentenceIterator, List labels, TreeVectorizer treeVectorizer,
-                    int batchSize) {
-        this.sentenceIterator = sentenceIterator;
-        this.labels = labels;
-        this.treeVectorizer = treeVectorizer;
-        this.batchSize = batchSize;
-    }
-
-    public TreeIterator(LabelAwareSentenceIterator sentenceIterator, List labels,
-                    TreeVectorizer treeVectorizer) {
-        this.sentenceIterator = sentenceIterator;
-        this.labels = labels;
-        this.treeVectorizer = treeVectorizer;
-        batchSize = labels.size();
-    }
-
-    public TreeIterator(LabelAwareSentenceIterator sentenceIterator, List labels) throws Exception {
-        this(sentenceIterator, labels, new TreeVectorizer());
-    }
-
-
-    /**
-     * Returns {@code true} if the iteration has more elements.
-     * (In other words, returns {@code true} if {@link #next} would
-     * return an element rather than throwing an exception.)
-     *
-     * @return {@code true} if the iteration has more elements
-     */
-    @Override
-    public boolean hasNext() {
-        return sentenceIterator.hasNext();
-    }
-
-    /**
-     * Returns the next element in the iteration.
-     *
-     * @return the next element in the iteration
-     */
-    @Override
-    public List next() {
-        List ret = new ArrayList<>();
-        try {
-            for (int i = 0; i < batchSize; i++)
-                if (hasNext())
-                    ret.addAll(treeVectorizer.getTreesWithLabels(sentenceIterator.nextSentence(),
-                                    sentenceIterator.currentLabel(), labels));
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-
-        return ret;
-    }
-
-    /**
-     * Removes from the underlying collection the last element returned
-     * by this iterator (optional operation).  This method can be called
-     * only once per call to {@link #next}.  The behavior of an iterator
-     * is unspecified if the underlying collection is modified while the
-     * iteration is in progress in any way other than by calling this
-     * method.
-     *
-     * @throws UnsupportedOperationException if the {@code remove}
-     *                                       operation is not supported by this iterator
-     * @throws IllegalStateException         if the {@code next} method has not
-     *                                       yet been called, or the {@code remove} method has already
-     *                                       been called after the last call to the {@code next}
-     *                                       method
-     */
-    @Override
-    public void remove() {
-        throw new UnsupportedOperationException();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeParser.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeParser.java
deleted file mode 100644
index b9d6cc3ce..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeParser.java
+++ /dev/null
@@ -1,420 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.fit.util.JCasUtil;
-import org.apache.uima.util.CasPool;
-import org.cleartk.opennlp.tools.ParserAnnotator;
-import org.cleartk.opennlp.tools.parser.DefaultOutputTypesHelper;
-import org.cleartk.syntax.constituent.type.TopTreebankNode;
-import org.cleartk.syntax.constituent.type.TreebankNode;
-import org.cleartk.token.type.Sentence;
-import org.cleartk.token.type.Token;
-import org.cleartk.util.ParamUtil;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-import org.deeplearning4j.nlp.uima.annotator.PoStagger;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.StemmerAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.text.movingwindow.ContextLabelRetriever;
-import org.deeplearning4j.text.sentenceiterator.SentencePreProcessor;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizerfactory.UimaTokenizerFactory;
-import org.nd4j.common.collection.MultiDimensionalMap;
-import org.nd4j.common.primitives.Pair;
-import org.nd4j.common.util.SetUtils;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.List;
-import java.util.Set;
-
-import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngine;
-import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription;
-
-/**
- * Tree parser for constituency parsing
- *
- * @author Adam Gibson
- */
-public class TreeParser {
-
-    private AnalysisEngine parser;
-    private AnalysisEngine tokenizer;
-    private CasPool pool;
-    private static final Logger log = LoggerFactory.getLogger(TreeParser.class);
-    private TokenizerFactory tf;
-
-
-    public TreeParser(AnalysisEngine parser, AnalysisEngine tokenizer, CasPool pool) {
-        this.parser = parser;
-        this.tokenizer = tokenizer;
-        this.pool = pool;
-        tf = new UimaTokenizerFactory(tokenizer, true);
-    }
-
-
-    public TreeParser() throws Exception {
-        if (parser == null) {
-            parser = getParser();
-        }
-        if (tokenizer == null)
-            tokenizer = getTokenizer();
-        if (pool == null)
-            pool = new CasPool(Runtime.getRuntime().availableProcessors(), parser);
-        tf = new UimaTokenizerFactory(tokenizer, true);
-
-    }
-
-    /**
-     * Gets trees from text.
-     * First a sentence segmenter is used to segment the training examples in to sentences.
-     * Sentences are then turned in to trees and returned.
-     * @param text the text to process
-     * @param preProcessor the pre processor to use for pre processing sentences
-     * @return the list of trees
-     * @throws Exception
-     */
-    public List getTrees(String text, SentencePreProcessor preProcessor) throws Exception {
-        if (text.isEmpty())
-            return new ArrayList<>();
-
-        CAS c = pool.getCas();
-        if (preProcessor != null)
-            text = preProcessor.preProcess(text);
-
-
-        c.setDocumentText(text);
-        tokenizer.process(c);
-        List ret = new ArrayList<>();
-        CAS c2 = pool.getCas();
-        List>> list = new ArrayList<>();
-        for (Sentence sentence : JCasUtil.select(c.getJCas(), Sentence.class)) {
-            List tokens = new ArrayList<>();
-            for (Token t : JCasUtil.selectCovered(Token.class, sentence))
-                tokens.add(t.getCoveredText());
-
-            Pair> p =
-                            ContextLabelRetriever.stringWithLabels(sentence.getCoveredText(), tf);
-            c2.setDocumentText(p.getFirst());
-            list.add(p);
-            tokenizer.process(c2);
-            parser.process(c2);
-
-            //build the tree based on this
-            TopTreebankNode node = JCasUtil.selectSingle(c.getJCas(), TopTreebankNode.class);
-            ret.add(TreeFactory.buildTree(node));
-
-
-        }
-
-        pool.releaseCas(c2);
-
-
-        for (Tree t : ret) {
-            addPreTerminal(t);
-        }
-
-
-        return ret;
-
-
-    }
-
-
-    private void addPreTerminal(Tree t) {
-        if (t.isLeaf()) {
-            Tree newLeaf = new Tree(t);
-            newLeaf.setLabel(t.value());
-            t.children().add(newLeaf);
-            newLeaf.setParent(t);
-        } else {
-            for (Tree child : t.children())
-                addPreTerminal(child);
-        }
-    }
-
-    /**
-     * Gets trees from text.
-     * First a sentence segmenter is used to segment the training examples in to sentences.
-     * Sentences are then turned in to trees and returned.
-     * @param text the text to process
-     * @return the list of trees
-     * @throws Exception
-     */
-    public List getTreebankTrees(String text) throws Exception {
-        if (text.isEmpty())
-            return new ArrayList<>();
-
-        CAS c = pool.getCas();
-        c.setDocumentText(text);
-        tokenizer.process(c);
-        List ret = new ArrayList<>();
-        for (Sentence sentence : JCasUtil.select(c.getJCas(), Sentence.class)) {
-            List tokens = new ArrayList<>();
-            CAS c2 = tokenizer.newCAS();
-
-            for (Token t : JCasUtil.selectCovered(Token.class, sentence))
-                tokens.add(t.getCoveredText());
-
-
-            c2.setDocumentText(sentence.getCoveredText());
-            tokenizer.process(c2);
-            parser.process(c2);
-
-            //build the tree based on this
-            TopTreebankNode node = JCasUtil.selectSingle(c2.getJCas(), TopTreebankNode.class);
-
-
-            ret.add(node);
-
-
-        }
-
-        pool.releaseCas(c);
-
-        return ret;
-
-
-    }
-
-    /**
-     * Gets trees from text.
-     * First a sentence segmenter is used to segment the training examples in to sentences.
-     * Sentences are then turned in to trees and returned.
-     *
-     * This will also process sentences with the following label format:
-     *  some text 
-     *
-     * This will allow you to iterate on and label sentences and label spans yourself.
-     *
-     * @param text the text to process
-     * @param label the label for the whole sentence
-     * @param labels the possible labels for the sentence
-     * @return the list of trees
-     * @throws Exception
-     */
-    public List getTreesWithLabels(String text, String label, List labels) throws Exception {
-        if (text.isEmpty())
-            return new ArrayList<>();
-        CAS c = pool.getCas();
-        c.setDocumentText("<" + label + "> " + text + " ");
-        tokenizer.process(c);
-        List lowerCaseLabels = new ArrayList<>();
-        for (String s : labels)
-            lowerCaseLabels.add(s.toLowerCase());
-        labels = lowerCaseLabels;
-
-        List ret = new ArrayList<>();
-        CAS c2 = pool.getCas();
-        for (Sentence sentence : JCasUtil.select(c.getJCas(), Sentence.class)) {
-            if (sentence.getCoveredText().isEmpty())
-                continue;
-
-            List tokens = new ArrayList<>();
-            for (Token t : JCasUtil.selectCovered(Token.class, sentence))
-                tokens.add(t.getCoveredText());
-
-            try {
-                Pair> stringsWithLabels =
-                                ContextLabelRetriever.stringWithLabels(sentence.getCoveredText(), tf);
-                c2.setDocumentText(stringsWithLabels.getFirst());
-                tokenizer.process(c2);
-                parser.process(c2);
-
-                //build the tree based on this
-                List nodes = new ArrayList<>(JCasUtil.select(c2.getJCas(), TopTreebankNode.class));
-                if (nodes.size() > 1) {
-                    log.warn("More than one top level node for a treebank parse. Only accepting first input node.");
-                }
-
-                else if (nodes.isEmpty()) {
-                    c2.reset();
-                    continue;
-                }
-
-
-
-                TopTreebankNode node = nodes.get(0);
-                ret.add(TreeFactory.buildTree(node, stringsWithLabels, labels));
-                c2.reset();
-
-            } catch (Exception e) {
-                log.warn("Unable to parse " + sentence.getCoveredText());
-                c2.reset();
-                continue;
-            }
-
-
-
-        }
-
-        pool.releaseCas(c);
-        pool.releaseCas(c2);
-
-        return ret;
-
-
-    }
-
-
-    /**
-     * Gets trees from text.
-     * First a sentence segmenter is used to segment the training examples in to sentences.
-     * Sentences are then turned in to trees and returned.
-     *
-     * This will also process sentences with the following label format:
-     *  some text 
-     *
-     * This will allow you to iterate on and label sentences and label spans yourself.
-     *
-     * @param text the text to process
-     * @param labels
-     * @return the list of trees
-     * @throws Exception
-     */
-    public List getTreesWithLabels(String text, List labels) throws Exception {
-        CAS c = pool.getCas();
-        c.setDocumentText(text);
-        tokenizer.process(c);
-        List lowerCaseLabels = new ArrayList<>();
-        for (String s : labels)
-            lowerCaseLabels.add(s.toLowerCase());
-        labels = lowerCaseLabels;
-
-        List ret = new ArrayList<>();
-        CAS c2 = pool.getCas();
-        for (Sentence sentence : JCasUtil.select(c.getJCas(), Sentence.class)) {
-            List tokens = new ArrayList<>();
-            for (Token t : JCasUtil.selectCovered(Token.class, sentence))
-                tokens.add(t.getCoveredText());
-
-            Pair> stringsWithLabels =
-                            ContextLabelRetriever.stringWithLabels(sentence.getCoveredText(), tf);
-            c2.setDocumentText(stringsWithLabels.getFirst());
-
-
-
-            tokenizer.process(c2);
-            parser.process(c2);
-
-            //build the tree based on this
-            //damn it
-            List nodes = new ArrayList<>(JCasUtil.select(c2.getJCas(), TopTreebankNode.class));
-            if (nodes.size() > 1) {
-                log.warn("More than one top level node for a treebank parse. Only accepting first input node.");
-            }
-
-            else if (nodes.isEmpty()) {
-                c2.reset();
-                continue;
-            }
-
-
-            Collection labels2 = stringsWithLabels.getSecond().values();
-            Set diff = SetUtils.difference(labels2, labels);
-            if (!diff.isEmpty()) {
-                log.warn("Found invalid sentence. Skipping");
-                c2.reset();
-                continue;
-
-            }
-
-            TopTreebankNode node = nodes.get(0);
-            ret.add(TreeFactory.buildTree(node, stringsWithLabels, labels));
-            c2.reset();
-
-        }
-
-        pool.releaseCas(c);
-        pool.releaseCas(c2);
-
-        return ret;
-
-
-    }
-
-    /**
-     * Gets trees from text.
-     * First a sentence segmenter is used to segment the training examples in to sentences.
-     * Sentences are then turned in to trees and returned.
-     * @param text the text to process
-     * @return the list of trees
-     * @throws Exception
-     */
-    public List getTrees(String text) throws Exception {
-        CAS c = pool.getCas();
-        c.setDocumentText(text);
-        tokenizer.process(c);
-        List ret = new ArrayList<>();
-        CAS c2 = pool.getCas();
-        for (Sentence sentence : JCasUtil.select(c.getJCas(), Sentence.class)) {
-            List tokens = new ArrayList<>();
-            for (Token t : JCasUtil.selectCovered(Token.class, sentence))
-                tokens.add(t.getCoveredText());
-
-
-            c2.setDocumentText(sentence.getCoveredText());
-            tokenizer.process(c2);
-            parser.process(c2);
-
-            //build the tree based on this
-            TopTreebankNode node = JCasUtil.selectSingle(c2.getJCas(), TopTreebankNode.class);
-            log.info("Tree bank parse " + node.getTreebankParse());
-            for (TreebankNode node2 : JCasUtil.select(c2.getJCas(), TreebankNode.class)) {
-                log.info("Node val " + node2.getNodeValue() + " and label " + node2.getNodeType() + " and tags was "
-                                + node2.getNodeTags());
-            }
-
-            ret.add(TreeFactory.buildTree(node));
-            c2.reset();
-
-        }
-
-        pool.releaseCas(c);
-        pool.releaseCas(c2);
-
-        return ret;
-
-
-    }
-
-
-    public static AnalysisEngine getTokenizer() throws Exception {
-        return createEngine(
-                        createEngineDescription(SentenceAnnotator.getDescription(), TokenizerAnnotator.getDescription(),
-                                        PoStagger.getDescription("en"), StemmerAnnotator.getDescription("English")
-
-                        ));
-    }
-
-    public static AnalysisEngine getParser() throws Exception {
-        return createEngine(createEngineDescription(createEngineDescription(ParserAnnotator.class,
-                        ParserAnnotator.PARAM_USE_TAGS_FROM_CAS, true, ParserAnnotator.PARAM_PARSER_MODEL_PATH,
-                        ParamUtil.getParameterValue(ParserAnnotator.PARAM_PARSER_MODEL_PATH,
-                                        "/models/en-parser-chunking.bin"),
-                        ParserAnnotator.PARAM_OUTPUT_TYPES_HELPER_CLASS_NAME,
-                        DefaultOutputTypesHelper.class.getName())));
-
-
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeVectorizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeVectorizer.java
deleted file mode 100644
index 48156d47e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/TreeVectorizer.java
+++ /dev/null
@@ -1,129 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser;
-
-import org.deeplearning4j.nlp.uima.corpora.treeparser.transformer.TreeTransformer;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * Tree vectorization pipeline. Takes a word vector model (as a lookup table)
- * and a parser and handles vectorization of strings appropriate for an RNTN
- *
- * @author Adam Gibson
- */
-public class TreeVectorizer {
-
-    private TreeParser parser;
-    private TreeTransformer treeTransformer = new BinarizeTreeTransformer();
-    private TreeTransformer cnfTransformer = new CollapseUnaries();
-
-    /**
-     * Uses the given parser and model
-     * for vectorization of strings
-     * @param parser the parser to use for converting
-     * strings to trees
-     */
-    public TreeVectorizer(TreeParser parser) {
-        this.parser = parser;
-    }
-
-    /**
-     * Uses word vectors from the passed in word2vec model
-     * @throws Exception
-     */
-    public TreeVectorizer() throws Exception {
-        this(new TreeParser());
-    }
-
-    /**
-     * Vectorizes the passed in sentences
-     * @param sentences the sentences to convert to trees
-     * @return a list of trees pre converted with CNF and
-     * binarized and word vectors at the leaves of the trees
-     *
-     * @throws Exception
-     */
-    public List getTrees(String sentences) throws Exception {
-        List ret = new ArrayList<>();
-        List baseTrees = parser.getTrees(sentences);
-        for (Tree t : baseTrees) {
-            Tree binarized = treeTransformer.transform(t);
-            binarized = cnfTransformer.transform(binarized);
-            ret.add(binarized);
-        }
-
-        return ret;
-
-    }
-
-
-    /**
-     * Vectorizes the passed in sentences
-     * @param sentences the sentences to convert to trees
-     * @param label the label for the sentence
-     * @param labels all of the possible labels for the trees
-     * @return a list of trees pre converted with CNF and
-     * binarized and word vectors at the leaves of the trees
-     *
-     * @throws Exception
-     */
-    public List getTreesWithLabels(String sentences, String label, List labels) throws Exception {
-        List ret = new ArrayList<>();
-        List baseTrees = parser.getTreesWithLabels(sentences, label, labels);
-        for (Tree t : baseTrees) {
-            Tree binarized = treeTransformer.transform(t);
-            binarized = cnfTransformer.transform(binarized);
-            ret.add(binarized);
-        }
-
-        return ret;
-
-    }
-
-
-
-    /**
-     * Vectorizes the passed in sentences
-     * @param sentences the sentences to convert to trees
-     * @param labels all of the possible labels for the trees
-     * @return a list of trees pre converted with CNF and
-     * binarized and word vectors at the leaves of the trees
-     *
-     * @throws Exception
-     */
-    public List getTreesWithLabels(String sentences, List labels) throws Exception {
-        List realLabels = new ArrayList<>(labels);
-        if (!realLabels.contains("NONE"))
-            realLabels.add("NONE");
-        List ret = new ArrayList<>();
-        List baseTrees = parser.getTreesWithLabels(sentences, realLabels);
-        for (Tree t : baseTrees) {
-            Tree binarized = treeTransformer.transform(t);
-            binarized = cnfTransformer.transform(binarized);
-            ret.add(binarized);
-        }
-
-        return ret;
-
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/transformer/TreeTransformer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/transformer/TreeTransformer.java
deleted file mode 100644
index 0e7e188a4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/corpora/treeparser/transformer/TreeTransformer.java
+++ /dev/null
@@ -1,35 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.corpora.treeparser.transformer;
-
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-
-/**
- * Tree transformer
- * @author Adam Gibson
- */
-public interface TreeTransformer {
-
-    /**
-     * Applies a applyTransformToOrigin to a tree
-     * @param t the tree to applyTransformToOrigin
-     * @return the transformed tree
-     */
-    Tree transform(Tree t);
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/UimaResultSetIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/UimaResultSetIterator.java
deleted file mode 100644
index e6082057b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/UimaResultSetIterator.java
+++ /dev/null
@@ -1,144 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.sentenceiterator;
-
-import org.apache.uima.cas.CAS;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.fit.util.JCasUtil;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.cleartk.token.type.Sentence;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator;
-import org.deeplearning4j.nlp.uima.uima.UimaResource;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.sql.ResultSet;
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * Iterates over and returns sentences
- * based on the passed in analysis engine
- *
- * Database version of UimaSentenceIterator based off Adam Gibson's UimaSentenceIterator but extends BasicResultSetIterator
- *
- * Please note: for reset functionality, the underlying JDBC ResultSet must not be of TYPE_FORWARD_ONLY
- * To achieve this using postgres you can make your query using:
- * connection.prepareStatement(sql,ResultSet.TYPE_SCROLL_INSENSITIVE,ResultSet.CONCUR_READ_ONLY);
- *
- * @author Brad Heap nzv8fan@gmail.com
- */
-public class UimaResultSetIterator extends BasicResultSetIterator {
-
-    private UimaResource resource;
-    protected volatile Iterator sentences;
-    private static final Logger log = LoggerFactory.getLogger(UimaSentenceIterator.class);
-
-    /**
-     * Constructor which builds a new UimaResource object
-     * @param rs the database result set object to iterate over
-     * @param columnName the name of the column containing text
-     * @throws ResourceInitializationException
-     */
-    public UimaResultSetIterator(ResultSet rs, String columnName) throws ResourceInitializationException {
-        this(rs, columnName,
-                        new UimaResource(AnalysisEngineFactory.createEngine(AnalysisEngineFactory
-                                        .createEngineDescription(TokenizerAnnotator.getDescription(),
-                                                        SentenceAnnotator.getDescription()))));
-    }
-
-    /**
-     * Constructor which takes an existing UimaResource object
-     * @param rs the database result set object to iterate over
-     * @param columnName the name of the column containing text
-     * @param resource
-     */
-    public UimaResultSetIterator(ResultSet rs, String columnName, UimaResource resource) {
-        super(rs, columnName);
-        this.resource = resource;
-    }
-
-    @Override
-    public synchronized String nextSentence() {
-
-        if (sentences == null || !sentences.hasNext()) {
-            // if we have no sentence get the next row from the database
-            try {
-                String text = super.nextSentence();
-
-                if (text == null)
-                    return "";
-
-                CAS cas = resource.retrieve();
-                cas.setDocumentText(text);
-                //                log.info("Document text: " + text);
-
-                resource.getAnalysisEngine().process(cas);
-
-                List list = new ArrayList<>();
-                for (Sentence sentence : JCasUtil.select(cas.getJCas(), Sentence.class)) {
-                    list.add(sentence.getCoveredText());
-                }
-
-                sentences = list.iterator();
-
-                String ret = sentences.next();
-                if (this.getPreProcessor() != null)
-                    ret = this.getPreProcessor().preProcess(ret);
-                //                    log.info("Sentence text: " + ret);
-                return ret;
-
-            } catch (Exception e) {
-                throw new RuntimeException(e);
-            }
-
-        } else {
-            String ret = sentences.next();
-            if (this.getPreProcessor() != null)
-                ret = this.getPreProcessor().preProcess(ret);
-            //            log.info("Sentence text: " + ret);
-            return ret;
-        }
-    }
-
-    @Override
-    public synchronized boolean hasNext() {
-        try {
-            if (sentences != null && sentences.hasNext())
-                return true;
-            return super.hasNext();
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-    @Override
-    public void reset() {
-        sentences = null;
-        super.reset();
-    }
-
-    @Override
-    public void finish() {
-        sentences = null;
-        super.finish();
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/UimaSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/UimaSentenceIterator.java
deleted file mode 100644
index 5fcfaa44b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/UimaSentenceIterator.java
+++ /dev/null
@@ -1,225 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.sentenceiterator;
-
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.collection.CollectionReader;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.fit.util.JCasUtil;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.cleartk.token.type.Sentence;
-import org.cleartk.util.cr.FilesCollectionReader;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.text.sentenceiterator.SentencePreProcessor;
-import org.deeplearning4j.nlp.uima.uima.UimaResource;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.File;
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * Iterates over and returns sentences
- * based on the passed in analysis engine
- * @author Adam Gibson
- *
- */
-public class UimaSentenceIterator extends BaseSentenceIterator {
-
-    protected volatile CollectionReader reader;
-    protected volatile Iterator sentences;
-    protected String path;
-    private static final Logger log = LoggerFactory.getLogger(UimaSentenceIterator.class);
-    private static AnalysisEngine defaultAnalysisEngine;
-    private UimaResource resource;
-
-
-    public UimaSentenceIterator(SentencePreProcessor preProcessor, String path, UimaResource resource) {
-        super(preProcessor);
-        this.path = path;
-        File f = new File(path);
-        if (f.isFile()) {
-
-            //more than a kilobyte break up the file (only do this for files
-
-
-            try {
-
-                this.reader = FilesCollectionReader.getCollectionReader(path);
-            } catch (Exception e) {
-                throw new RuntimeException(e);
-            }
-
-
-
-        } else {
-            try {
-                this.reader = FilesCollectionReader.getCollectionReader(path);
-            } catch (ResourceInitializationException e) {
-                throw new RuntimeException(e);
-            }
-        }
-
-        this.resource = resource;
-    }
-
-
-    public UimaSentenceIterator(SentencePreProcessor preProcessor, CollectionReader cr, UimaResource resource) {
-        super(preProcessor);
-        this.reader = cr;
-        this.resource = resource;
-    }
-
-
-    public UimaSentenceIterator(String path, UimaResource resource) {
-        this(null, path, resource);
-    }
-
-    @Override
-    public synchronized String nextSentence() {
-        if (sentences == null || !sentences.hasNext()) {
-            try {
-                if (getReader().hasNext()) {
-                    CAS cas = resource.retrieve();
-
-                    try {
-                        getReader().getNext(cas);
-                    } catch (Exception e) {
-                        log.warn("Done iterating returning an empty string");
-                        return "";
-                    }
-
-
-                    resource.getAnalysisEngine().process(cas);
-
-
-
-                    List list = new ArrayList<>();
-                    for (Sentence sentence : JCasUtil.select(cas.getJCas(), Sentence.class)) {
-                        list.add(sentence.getCoveredText());
-                    }
-
-
-                    sentences = list.iterator();
-                    //needs to be next cas
-                    while (!sentences.hasNext()) {
-                        //sentence is empty; go to another cas
-                        if (reader.hasNext()) {
-                            cas.reset();
-                            getReader().getNext(cas);
-                            resource.getAnalysisEngine().process(cas);
-                            for (Sentence sentence : JCasUtil.select(cas.getJCas(), Sentence.class)) {
-                                list.add(sentence.getCoveredText());
-                            }
-                            sentences = list.iterator();
-                        } else
-                            return null;
-                    }
-
-
-                    String ret = sentences.next();
-                    if (this.getPreProcessor() != null)
-                        ret = this.getPreProcessor().preProcess(ret);
-                    return ret;
-                }
-
-                return null;
-
-            } catch (Exception e) {
-                throw new RuntimeException(e);
-            }
-
-        } else {
-            String ret = sentences.next();
-            if (this.getPreProcessor() != null)
-                ret = this.getPreProcessor().preProcess(ret);
-            return ret;
-        }
-
-
-
-    }
-
-    public UimaResource getResource() {
-        return resource;
-    }
-
-    /**
-     * Creates a uima sentence iterator with the given path
-     * @param path the path to the root directory or file to read from
-     * @return the uima sentence iterator for the given root dir or file
-     * @throws Exception
-     */
-    public static SentenceIterator createWithPath(String path) throws Exception {
-        return new UimaSentenceIterator(path,
-                        new UimaResource(AnalysisEngineFactory.createEngine(AnalysisEngineFactory
-                                        .createEngineDescription(TokenizerAnnotator.getDescription(),
-                                                        SentenceAnnotator.getDescription()))));
-    }
-
-
-    @Override
-    public synchronized boolean hasNext() {
-        try {
-            return getReader().hasNext() || sentences != null && sentences.hasNext();
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-
-    private synchronized CollectionReader getReader() {
-        return reader;
-    }
-
-
-    @Override
-    public void reset() {
-        try {
-            this.reader = FilesCollectionReader.getCollectionReader(path);
-        } catch (ResourceInitializationException e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-
-    /**
-     * Return a sentence segmenter
-     * @return a sentence segmenter
-     */
-    public static AnalysisEngine segmenter() {
-        try {
-            if (defaultAnalysisEngine == null)
-
-                defaultAnalysisEngine = AnalysisEngineFactory.createEngine(
-                                AnalysisEngineFactory.createEngineDescription(SentenceAnnotator.getDescription()));
-
-            return defaultAnalysisEngine;
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/labelaware/LabelAwareUimaSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/labelaware/LabelAwareUimaSentenceIterator.java
deleted file mode 100644
index 8750d5acd..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/sentenceiterator/labelaware/LabelAwareUimaSentenceIterator.java
+++ /dev/null
@@ -1,96 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.sentenceiterator.labelaware;
-
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.text.sentenceiterator.SentencePreProcessor;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaSentenceIterator;
-import org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator;
-import org.deeplearning4j.nlp.uima.uima.UimaResource;
-
-import java.io.File;
-import java.lang.reflect.Field;
-import java.util.Arrays;
-import java.util.List;
-
-/**
- *
- * Uima sentence iterator that is aware of the current file
- * @author Adam Gibson
- */
-public class LabelAwareUimaSentenceIterator extends UimaSentenceIterator implements LabelAwareSentenceIterator {
-
-    public LabelAwareUimaSentenceIterator(SentencePreProcessor preProcessor, String path, UimaResource resource) {
-        super(preProcessor, path, resource);
-    }
-
-    public LabelAwareUimaSentenceIterator(String path, AnalysisEngine engine) throws ResourceInitializationException {
-        super(path, new UimaResource(engine));
-    }
-
-
-    /**
-     * Returns the current label for nextSentence()
-     *
-     * @return the label for nextSentence()
-     */
-    @Override
-    public String currentLabel() {
-
-        try {
-            /**
-             * Little bit hacky, but most concise way to do it.
-             * Get the parent collection reader's current file.
-             * The collection reader is basically a wrapper for a file iterator.
-             * We can use this to ge the current file for the iterator.
-             */
-            Field f = reader.getClass().getDeclaredField("currentFile");
-            f.setAccessible(true);
-            File file = (File) f.get(reader);
-            return file.getParentFile().getName();
-        }
-
-        catch (NullPointerException e1) {
-            return "NONE";
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-
-    }
-
-    /**
-     * Creates a uima sentence iterator with the given path
-     * @param path the path to the root directory or file to read from
-     * @return the uima sentence iterator for the given root dir or file
-     * @throws Exception
-     */
-    public static LabelAwareSentenceIterator createWithPath(String path) throws Exception {
-        return new LabelAwareUimaSentenceIterator(null, path,
-                        new UimaResource(AnalysisEngineFactory.createEngine(AnalysisEngineFactory
-                                        .createEngineDescription(TokenizerAnnotator.getDescription(),
-                                                        SentenceAnnotator.getDescription()))));
-    }
-
-    @Override
-    public List currentLabels() {
-        return Arrays.asList(currentLabel());
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/ConcurrentTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/ConcurrentTokenizer.java
deleted file mode 100644
index 3570815e5..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/ConcurrentTokenizer.java
+++ /dev/null
@@ -1,140 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizer;
-
-import opennlp.tools.tokenize.TokenizerME;
-import opennlp.tools.tokenize.TokenizerModel;
-import opennlp.tools.util.Span;
-import opennlp.uima.tokenize.AbstractTokenizer;
-import opennlp.uima.tokenize.TokenizerModelResource;
-import opennlp.uima.util.AnnotatorUtil;
-import opennlp.uima.util.UimaUtil;
-import org.apache.uima.UimaContext;
-import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.cas.Feature;
-import org.apache.uima.cas.TypeSystem;
-import org.apache.uima.cas.text.AnnotationFS;
-import org.apache.uima.resource.ResourceAccessException;
-import org.apache.uima.resource.ResourceInitializationException;
-
-/**
- * OpenNLP Tokenizer annotator.
- * 

- * Mandatory parameters
- * 
- *   
- *   
- *   
- *   
- * 
Type Name Description
String opennlp.uima.ModelName The name of the model file
String opennlp.uima.SentenceType The full name of the sentence type
String opennlp.uima.TokenType The full name of the token type

- * 

- * Optional parameters
- * 
- *   
- *   
- * 
Type Name Description
String opennlp.uima.ProbabilityFeature The name of the double 
- *       probability feature (not applyTransformToDestination by default)

- * @see {@link TokenizerME}
- */
-public class ConcurrentTokenizer extends AbstractTokenizer {
-
-    /**
-     * The OpenNLP tokenizer.
-     */
-    private TokenizerME tokenizer;
-
-    private Feature probabilityFeature;
-
-    @Override
-    public synchronized void process(CAS cas) throws AnalysisEngineProcessException {
-        super.process(cas);
-    }
-
-    /**
-     * Initializes a new instance.
-     *
-     * Note: Use {@link #initialize(UimaContext) } to initialize 
-     * this instance. Not use the constructor.
-     */
-    public ConcurrentTokenizer() {
-        super("OpenNLP Tokenizer");
-
-        // must not be implemented !
-    }
-
-    /**
-     * Initializes the current instance with the given context.
-     *
-     * Note: Do all initialization in this method, do not use the constructor.
-     */
-    public void initialize(UimaContext context) throws ResourceInitializationException {
-
-        super.initialize(context);
-
-        TokenizerModel model;
-
-        try {
-            TokenizerModelResource modelResource =
-                            (TokenizerModelResource) context.getResourceObject(UimaUtil.MODEL_PARAMETER);
-
-            model = modelResource.getModel();
-        } catch (ResourceAccessException e) {
-            throw new ResourceInitializationException(e);
-        }
-
-        tokenizer = new TokenizerME(model);
-    }
-
-    /**
-     * Initializes the type system.
-     */
-    public void typeSystemInit(TypeSystem typeSystem) throws AnalysisEngineProcessException {
-
-        super.typeSystemInit(typeSystem);
-
-        probabilityFeature = AnnotatorUtil.getOptionalFeatureParameter(context, tokenType,
-                        UimaUtil.PROBABILITY_FEATURE_PARAMETER, CAS.TYPE_NAME_DOUBLE);
-    }
-
-
-    @Override
-    protected Span[] tokenize(CAS cas, AnnotationFS sentence) {
-        return tokenizer.tokenizePos(sentence.getCoveredText());
-    }
-
-    @Override
-    protected void postProcessAnnotations(Span[] tokens, AnnotationFS[] tokenAnnotations) {
-        // if interest
-        if (probabilityFeature != null) {
-            double tokenProbabilties[] = tokenizer.getTokenProbabilities();
-
-            for (int i = 0; i < tokenAnnotations.length; i++) {
-                tokenAnnotations[i].setDoubleValue(probabilityFeature, tokenProbabilties[i]);
-            }
-        }
-    }
-
-    /**
-     * Releases allocated resources.
-     */
-    public void destroy() {
-        // dereference model to allow garbage collection 
-        tokenizer = null;
-    }
-}
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/PosUimaTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/PosUimaTokenizer.java
deleted file mode 100644
index 36b7f1d8d..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/PosUimaTokenizer.java
+++ /dev/null
@@ -1,151 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizer;
-
-import lombok.NonNull;
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.fit.util.JCasUtil;
-import org.cleartk.token.type.Sentence;
-import org.cleartk.token.type.Token;
-import org.deeplearning4j.nlp.uima.annotator.PoStagger;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.StemmerAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.List;
-
-/**
- * Filter by part of speech tag.
- * Any not valid part of speech tags
- * become NONE
- * @author Adam Gibson
- *
- */
-public class PosUimaTokenizer implements Tokenizer {
-
-    private static AnalysisEngine engine;
-    private List tokens;
-    private Collection allowedPosTags;
-    private int index;
-    private static CAS cas;
-    private TokenPreProcess preProcessor;
-    private boolean stripNones = false;
-
-    public PosUimaTokenizer(String tokens, AnalysisEngine engine, Collection allowedPosTags) {
-        this(tokens, engine, allowedPosTags, false);
-    }
-
-    public PosUimaTokenizer(String tokens, AnalysisEngine engine, Collection allowedPosTags,
-                    boolean stripNones) {
-        if (PosUimaTokenizer.engine == null)
-            PosUimaTokenizer.engine = engine;
-        this.allowedPosTags = allowedPosTags;
-        this.tokens = new ArrayList<>();
-        this.stripNones = stripNones;
-        try {
-            if (cas == null)
-                cas = engine.newCAS();
-
-            cas.reset();
-            cas.setDocumentText(tokens);
-            PosUimaTokenizer.engine.process(cas);
-            for (Sentence s : JCasUtil.select(cas.getJCas(), Sentence.class)) {
-                for (Token t : JCasUtil.selectCovered(Token.class, s)) {
-                    //add NONE for each invalid token
-                    if (valid(t))
-                        if (t.getLemma() != null)
-                            this.tokens.add(t.getLemma());
-                        else if (t.getStem() != null)
-                            this.tokens.add(t.getStem());
-                        else
-                            this.tokens.add(t.getCoveredText());
-                    else
-                        this.tokens.add("NONE");
-                }
-            }
-
-
-
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-
-    }
-
-    private boolean valid(Token token) {
-        String check = token.getCoveredText();
-        if (check.matches("<[A-Z]+>") || check.matches("")
-                        || (token.getPos() != null && !this.allowedPosTags.contains(token.getPos())))
-            return false;
-        return true;
-    }
-
-
-
-    @Override
-    public boolean hasMoreTokens() {
-        return index < tokens.size();
-    }
-
-    @Override
-    public int countTokens() {
-        return tokens.size();
-    }
-
-    @Override
-    public String nextToken() {
-        String ret = tokens.get(index); // preProcessor != null ? preProcessor.preProcess(tokens.get(index)) : tokens.get(index);
-        index++;
-        return ret;
-    }
-
-    @Override
-    public List getTokens() {
-        List tokens = new ArrayList<>();
-        while (hasMoreTokens()) {
-            String nextT = nextToken();
-            if (stripNones && nextT.equals("NONE"))
-                continue;
-            tokens.add(preProcessor != null ? preProcessor.preProcess(nextT) : nextT);
-        }
-        return tokens;
-    }
-
-    public static AnalysisEngine defaultAnalysisEngine() {
-        try {
-            return AnalysisEngineFactory.createEngine(AnalysisEngineFactory.createEngineDescription(
-                            SentenceAnnotator.getDescription(), TokenizerAnnotator.getDescription(),
-                            PoStagger.getDescription("en"), StemmerAnnotator.getDescription("English")));
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-    @Override
-    public void setTokenPreProcessor(@NonNull TokenPreProcess tokenPreProcessor) {
-        this.preProcessor = tokenPreProcessor;
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/UimaTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/UimaTokenizer.java
deleted file mode 100644
index 56ac1f1ec..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/UimaTokenizer.java
+++ /dev/null
@@ -1,120 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizer;
-
-import lombok.extern.slf4j.Slf4j;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.fit.util.JCasUtil;
-import org.cleartk.token.type.Token;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.deeplearning4j.nlp.uima.uima.UimaResource;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.List;
-
-/**
- * Tokenizer based on the passed in analysis engine
- * @author Adam Gibson
- *
- */
-@Slf4j
-public class UimaTokenizer implements Tokenizer {
-
-    private List tokens;
-    private int index;
-    private static final Logger log = LoggerFactory.getLogger(UimaTokenizer.class);
-    private boolean checkForLabel;
-    private TokenPreProcess preProcess;
-
-
-    public UimaTokenizer(String tokens, UimaResource resource, boolean checkForLabel) {
-
-        this.checkForLabel = checkForLabel;
-        this.tokens = new ArrayList<>();
-        try {
-            CAS cas = resource.process(tokens);
-
-            Collection tokenList = JCasUtil.select(cas.getJCas(), Token.class);
-
-            for (Token t : tokenList) {
-
-                if (!checkForLabel || valid(t.getCoveredText()))
-                    if (t.getLemma() != null)
-                        this.tokens.add(t.getLemma());
-                    else if (t.getStem() != null)
-                        this.tokens.add(t.getStem());
-                    else
-                        this.tokens.add(t.getCoveredText());
-            }
-
-
-            resource.release(cas);
-
-
-        } catch (Exception e) {
-            log.error("",e);
-            throw new RuntimeException(e);
-        }
-
-    }
-
-    private boolean valid(String check) {
-        return !(check.matches("<[A-Z]+>") || check.matches(""));
-    }
-
-
-
-    @Override
-    public boolean hasMoreTokens() {
-        return index < tokens.size();
-    }
-
-    @Override
-    public int countTokens() {
-        return tokens.size();
-    }
-
-    @Override
-    public String nextToken() {
-        String ret = tokens.get(index);
-        index++;
-        if (preProcess != null)
-            ret = preProcess.preProcess(ret);
-        return ret;
-    }
-
-    @Override
-    public List getTokens() {
-        List tokens = new ArrayList<>();
-        while (hasMoreTokens()) {
-            tokens.add(nextToken());
-        }
-        return tokens;
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess tokenPreProcessor) {
-        this.preProcess = tokenPreProcessor;
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/CustomStemmingPreprocessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/CustomStemmingPreprocessor.java
deleted file mode 100644
index ac159b786..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/CustomStemmingPreprocessor.java
+++ /dev/null
@@ -1,47 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizer.preprocessor;
-
-import lombok.NonNull;
-import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
-import org.tartarus.snowball.SnowballProgram;
-
-/**
- * This is StemmingPreprocessor compatible with different StemmingProcessors defined as lucene/tartarus SnowballProgram
- * such as: RussianStemmer, DutchStemmer, FrenchStemmer etc.
- * 

- * Note that CommonPreprocessor#preProcess(String) is first applied (i.e. punctuation marks are removed and lower-cased), then the stemmer is applied.
- * 

- * This preprocessor is synchronized, thus thread-safe.
- *
- * @author raver119@gmail.com
- */
-public class CustomStemmingPreprocessor extends CommonPreprocessor {
-    private SnowballProgram stemmer;
-
-    public CustomStemmingPreprocessor(@NonNull SnowballProgram stemmer) {
-        this.stemmer = stemmer;
-    }
-
-    @Override
-    public synchronized String preProcess(String token) {
-        String prep = super.preProcess(token);
-        stemmer.setCurrent(prep);
-        stemmer.stem();
-        return stemmer.getCurrent();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/EmbeddedStemmingPreprocessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/EmbeddedStemmingPreprocessor.java
deleted file mode 100644
index c2df3112c..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/EmbeddedStemmingPreprocessor.java
+++ /dev/null
@@ -1,47 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizer.preprocessor;
-
-import lombok.NoArgsConstructor;
-import lombok.NonNull;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.tartarus.snowball.ext.PorterStemmer;
-
-/**
- * This tokenizer preprocessor uses given preprocessor + does english Porter stemming on tokens on top of it
- *
- *
- * @author raver119@gmail.com
- */
-@NoArgsConstructor
-public class EmbeddedStemmingPreprocessor implements TokenPreProcess {
-    private TokenPreProcess preProcessor;
-
-    public EmbeddedStemmingPreprocessor(@NonNull TokenPreProcess preProcess) {
-        this.preProcessor = preProcess;
-    }
-
-    @Override
-    public String preProcess(String token) {
-        String prep = preProcessor == null ? token : preProcessor.preProcess(token);
-        PorterStemmer stemmer = new PorterStemmer();
-        stemmer.setCurrent(prep);
-        stemmer.stem();
-
-        return stemmer.getCurrent();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/StemmingPreprocessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/StemmingPreprocessor.java
deleted file mode 100644
index a3e33cfcb..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizer/preprocessor/StemmingPreprocessor.java
+++ /dev/null
@@ -1,39 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizer.preprocessor;
-
-import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
-import org.tartarus.snowball.ext.PorterStemmer;
-
-/**
- * This tokenizer preprocessor implements basic cleaning inherited from CommonPreprocessor + does english Porter stemming on tokens
- *
- * PLEASE NOTE: This preprocessor is thread-safe by using synchronized method
- *
- * @author raver119@gmail.com
- */
-public class StemmingPreprocessor extends CommonPreprocessor {
-    @Override
-    public String preProcess(String token) {
-        String prep = super.preProcess(token);
-        PorterStemmer stemmer = new PorterStemmer();
-        stemmer.setCurrent(prep);
-        stemmer.stem();
-
-        return stemmer.getCurrent();
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java
deleted file mode 100644
index c85078655..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizerfactory/PosUimaTokenizerFactory.java
+++ /dev/null
@@ -1,105 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizerfactory;
-
-
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.deeplearning4j.nlp.uima.annotator.StemmerAnnotator;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizer.PosUimaTokenizer;
-import org.deeplearning4j.nlp.uima.annotator.PoStagger;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-
-import java.io.InputStream;
-import java.util.Collection;
-
-import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngine;
-import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription;
-
-/**
- * Creates a tokenizer that filters by 
- * part of speech tags
- * @see {org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer}
- * @author Adam Gibson
- *
- */
-public class PosUimaTokenizerFactory implements TokenizerFactory {
-
-    private AnalysisEngine tokenizer;
-    private Collection allowedPoSTags;
-    private TokenPreProcess tokenPreProcess;
-    private boolean stripNones = false;
-
-    public PosUimaTokenizerFactory(Collection allowedPoSTags, boolean stripNones) {
-        this(defaultAnalysisEngine(), allowedPoSTags);
-        this.stripNones = stripNones;
-    }
-
-    public PosUimaTokenizerFactory(Collection allowedPoSTags) {
-        this(allowedPoSTags, false);
-    }
-
-    public PosUimaTokenizerFactory(AnalysisEngine tokenizer, Collection allowedPosTags) {
-        this.tokenizer = tokenizer;
-        this.allowedPoSTags = allowedPosTags;
-    }
-
-
-    public static AnalysisEngine defaultAnalysisEngine() {
-        try {
-            return createEngine(createEngineDescription(SentenceAnnotator.getDescription(),
-                            TokenizerAnnotator.getDescription(), PoStagger.getDescription("en"),
-                            StemmerAnnotator.getDescription("English")));
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-
-    @Override
-    public Tokenizer create(String toTokenize) {
-        PosUimaTokenizer t = new PosUimaTokenizer(toTokenize, tokenizer, allowedPoSTags, stripNones);
-        if (tokenPreProcess != null)
-            t.setTokenPreProcessor(tokenPreProcess);
-        return t;
-    }
-
-    @Override
-    public Tokenizer create(InputStream toTokenize) {
-        throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess preProcessor) {
-        this.tokenPreProcess = preProcessor;
-    }
-
-    /**
-     * Returns TokenPreProcessor set for this TokenizerFactory instance
-     *
-     * @return TokenPreProcessor instance, or null if no preprocessor was defined
-     */
-    @Override
-    public TokenPreProcess getTokenPreProcessor() {
-        return tokenPreProcess;
-    }
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizerfactory/UimaTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizerfactory/UimaTokenizerFactory.java
deleted file mode 100644
index 37a3701fd..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/tokenization/tokenizerfactory/UimaTokenizerFactory.java
+++ /dev/null
@@ -1,132 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.tokenization.tokenizerfactory;
-
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.fit.factory.AnalysisEngineFactory;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.deeplearning4j.nlp.uima.annotator.TokenizerAnnotator;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizer.UimaTokenizer;
-import org.deeplearning4j.nlp.uima.annotator.SentenceAnnotator;
-import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.deeplearning4j.nlp.uima.uima.UimaResource;
-
-import java.io.InputStream;
-
-
-/**
- * Uses a uima {@link AnalysisEngine} to 
- * tokenize text.
- *
- *
- * @author Adam Gibson
- *
- */
-public class UimaTokenizerFactory implements TokenizerFactory {
-
-    private UimaResource uimaResource;
-    private boolean checkForLabel;
-    private static AnalysisEngine defaultAnalysisEngine;
-    private TokenPreProcess preProcess;
-
-    public UimaTokenizerFactory() throws ResourceInitializationException {
-        this(defaultAnalysisEngine(), true);
-    }
-
-    public UimaTokenizerFactory(UimaResource resource) {
-        this(resource, true);
-    }
-
-    public UimaTokenizerFactory(AnalysisEngine tokenizer) {
-        this(tokenizer, true);
-    }
-
-    public UimaTokenizerFactory(UimaResource resource, boolean checkForLabel) {
-        this.uimaResource = resource;
-        this.checkForLabel = checkForLabel;
-    }
-
-    public UimaTokenizerFactory(boolean checkForLabel) throws ResourceInitializationException {
-        this(defaultAnalysisEngine(), checkForLabel);
-    }
-
-    public UimaTokenizerFactory(AnalysisEngine tokenizer, boolean checkForLabel) {
-        super();
-        this.checkForLabel = checkForLabel;
-        try {
-            this.uimaResource = new UimaResource(tokenizer);
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-    @Override
-    public Tokenizer create(String toTokenize) {
-        if (toTokenize == null)
-            throw new IllegalArgumentException("Unable to proceed; on sentence to tokenize");
-        Tokenizer ret = new UimaTokenizer(toTokenize, uimaResource, checkForLabel);
-        ret.setTokenPreProcessor(preProcess);
-        return ret;
-    }
-
-    public UimaResource getUimaResource() {
-        return uimaResource;
-    }
-
-
-    /**
-     * Creates a tokenization,/stemming pipeline
-     * @return a tokenization/stemming pipeline
-     */
-    public static AnalysisEngine defaultAnalysisEngine() {
-        try {
-            if (defaultAnalysisEngine == null)
-                defaultAnalysisEngine = AnalysisEngineFactory.createEngine(
-                                AnalysisEngineFactory.createEngineDescription(SentenceAnnotator.getDescription(),
-                                                TokenizerAnnotator.getDescription()));
-
-            return defaultAnalysisEngine;
-        } catch (Exception e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-
-    @Override
-    public Tokenizer create(InputStream toTokenize) {
-        throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public void setTokenPreProcessor(TokenPreProcess preProcessor) {
-        this.preProcess = preProcessor;
-    }
-
-    /**
-     * Returns TokenPreProcessor set for this TokenizerFactory instance
-     *
-     * @return TokenPreProcessor instance, or null if no preprocessor was defined
-     */
-    @Override
-    public TokenPreProcess getTokenPreProcessor() {
-        return preProcess;
-    }
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/uima/UimaResource.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/uima/UimaResource.java
deleted file mode 100644
index 3beeae72a..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/main/java/org/deeplearning4j/nlp/uima/uima/UimaResource.java
+++ /dev/null
@@ -1,111 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.nlp.uima.uima;
-
-import org.apache.uima.analysis_engine.AnalysisEngine;
-import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
-import org.apache.uima.cas.CAS;
-import org.apache.uima.resource.ResourceInitializationException;
-import org.apache.uima.util.CasPool;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-/**
- * Resource holder for uima
- * @author Adam Gibson
- *
- */
-public class UimaResource {
-
-    private AnalysisEngine analysisEngine;
-    private CasPool casPool;
-    private static final Logger log = LoggerFactory.getLogger(UimaResource.class);
-
-    public UimaResource(AnalysisEngine analysisEngine) throws ResourceInitializationException {
-        this.analysisEngine = analysisEngine;
-        this.casPool = new CasPool(Runtime.getRuntime().availableProcessors(), analysisEngine);
-
-    }
-
-    public UimaResource(AnalysisEngine analysisEngine, CasPool casPool) {
-        this.analysisEngine = analysisEngine;
-        this.casPool = casPool;
-
-    }
-
-
-    public AnalysisEngine getAnalysisEngine() {
-        return analysisEngine;
-    }
-
-
-    public void setAnalysisEngine(AnalysisEngine analysisEngine) {
-        this.analysisEngine = analysisEngine;
-    }
-
-
-    public CasPool getCasPool() {
-        return casPool;
-    }
-
-
-    public void setCasPool(CasPool casPool) {
-        this.casPool = casPool;
-    }
-
-
-    /**
-     * Use the given analysis engine and process the given text
-     * You must release the return cas yourself
-     * @param text the text to process
-     * @return the processed cas
-     */
-    public CAS process(String text) {
-        CAS cas = retrieve();
-        if (cas == null)
-            return null;
-
-        cas.setDocumentText(text);
-        try {
-            analysisEngine.process(cas);
-        } catch (AnalysisEngineProcessException e) {
-            log.warn("Unable to process text " + text, e);
-        }
-
-        return cas;
-
-
-    }
-
-
-    public CAS retrieve() {
-        CAS ret = casPool.getCas();
-        try {
-            return ret == null ? analysisEngine.newCAS() : ret;
-        } catch (ResourceInitializationException e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-
-    public void release(CAS cas) {
-        casPool.releaseCas(cas);
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java
deleted file mode 100644
index 1d33c542b..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/AssertTestsExtendBaseClass.java
+++ /dev/null
@@ -1,49 +0,0 @@
-
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.deeplearning4j;
-
-import lombok.extern.slf4j.Slf4j;
-import java.util.*;
-import org.nd4j.common.tests.AbstractAssertTestsClass;
-
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4JTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alex Black
- * @author Alexander Stoyakin
- */
-@Slf4j
-public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass {
-
-    @Override
-    protected Set> getExclusions() {
-        Set> exclusions = new HashSet<>();
-        return exclusions;
-    }
-
-    @Override
-    protected String getPackageName() {
-        return "org.deeplearning4j";
-    }
-
-    @Override
-    protected Class getBaseClass() {
-        return BaseDL4JTest.class;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/UITest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/UITest.java
deleted file mode 100644
index 452cdc642..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/UITest.java
+++ /dev/null
@@ -1,81 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.models;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.models.embeddings.loader.WordVectorSerializer;
-import org.deeplearning4j.models.embeddings.wordvectors.WordVectors;
-import org.deeplearning4j.models.word2vec.Word2Vec;
-import org.deeplearning4j.plot.BarnesHutTsne;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaSentenceIterator;
-import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.deeplearning4j.core.ui.UiConnectionInfo;
-import org.deeplearning4j.ui.api.UIServer;
-import org.junit.Ignore;
-import org.junit.Test;
-import org.nd4j.common.io.ClassPathResource;
-
-import java.io.File;
-import java.util.ArrayList;
-
-/**
- * Created by Alex on 10/01/2017.
- */
-@Ignore
-public class UITest extends BaseDL4JTest {
-
-    @Test
-    public void testPosting() throws Exception {
-
-        //        File inputFile = Resources.asFile("big/raw_sentences.txt");
-        File inputFile = new ClassPathResource("/basic/word2vec_advance.txt").getFile();
-        SentenceIterator iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).epochs(1).layerSize(20)
-                        .stopWords(new ArrayList()).useAdaGrad(false).negativeSample(5).seed(42).windowSize(5)
-                        .iterate(iter).tokenizerFactory(t).build();
-
-        vec.fit();
-
-        File tempFile = File.createTempFile("temp", "w2v");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeWordVectors(vec, tempFile);
-
-        WordVectors vectors = WordVectorSerializer.loadTxtVectors(tempFile);
-
-        UIServer.getInstance(); //Initialize
-
-        UiConnectionInfo uiConnectionInfo =
-                        new UiConnectionInfo.Builder().setAddress("localhost").setPort(9000).build();
-
-        BarnesHutTsne tsne = new BarnesHutTsne.Builder().normalize(false).setFinalMomentum(0.8f).numDimension(2)
-                        .setMaxIter(10).build();
-
-        vectors.lookupTable().plotVocab(tsne, vectors.lookupTable().getVocabCache().numWords(), uiConnectionInfo);
-
-
-        Thread.sleep(100000);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/WordVectorSerializerTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/WordVectorSerializerTest.java
deleted file mode 100755
index 7d6c0f559..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/WordVectorSerializerTest.java
+++ /dev/null
@@ -1,912 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.models;
-
-import lombok.val;
-import org.apache.commons.io.FileUtils;
-import org.apache.commons.lang.ArrayUtils;
-import org.apache.commons.lang3.RandomUtils;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.models.embeddings.WeightLookupTable;
-import org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable;
-import org.deeplearning4j.models.embeddings.loader.VectorsConfiguration;
-import org.deeplearning4j.models.embeddings.loader.WordVectorSerializer;
-import org.deeplearning4j.models.embeddings.wordvectors.WordVectors;
-import org.deeplearning4j.models.paragraphvectors.ParagraphVectors;
-import org.deeplearning4j.models.sequencevectors.SequenceVectors;
-import org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory;
-import org.deeplearning4j.models.word2vec.VocabWord;
-import org.deeplearning4j.models.word2vec.Word2Vec;
-import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
-import org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache;
-import org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache;
-import org.deeplearning4j.text.sentenceiterator.BasicLineIterator;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaSentenceIterator;
-import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.junit.Before;
-import org.junit.Ignore;
-import org.junit.Rule;
-import org.junit.Test;
-import org.junit.rules.TemporaryFolder;
-import org.junit.rules.Timeout;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.common.io.ClassPathResource;
-import org.nd4j.linalg.ops.transforms.Transforms;
-import org.nd4j.common.resources.Resources;
-import org.nd4j.shade.guava.primitives.Doubles;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collection;
-import java.util.List;
-
-import static org.junit.Assert.*;
-
-/**
- * @author jeffreytang
- * @author raver119@gmail.com
- */
-public class WordVectorSerializerTest extends BaseDL4JTest {
-
-    @Rule
-    public TemporaryFolder testDir = new TemporaryFolder();
-
-    @Rule
-    public Timeout timeout = Timeout.seconds(300);
-
-    private File textFile, binaryFile, textFile2;
-    private File fastTextRaw, fastTextZip, fastTextGzip;
-    String pathToWriteto;
-
-    private Logger logger = LoggerFactory.getLogger(WordVectorSerializerTest.class);
-
-    @Before
-    public void before() throws Exception {
-        if (textFile == null) {
-            textFile = new ClassPathResource("word2vecserialization/google_news_30.txt").getFile();
-        }
-        if (binaryFile == null) {
-            File dir = testDir.newFolder();
-            binaryFile = new File(dir, "google_news_30.bin.gz");
-            FileUtils.copyFile(new ClassPathResource("word2vecserialization/google_news_30.bin.gz").getFile(), binaryFile);
-        }
-        pathToWriteto = new ClassPathResource("word2vecserialization/testing_word2vec_serialization.txt").getFile()
-                        .getAbsolutePath();
-        if (fastTextRaw == null) {
-            fastTextRaw = new ClassPathResource("word2vecserialization/fast_text.vec").getFile();
-        }
-        if (fastTextZip == null) {
-            File dir = testDir.newFolder();
-            fastTextZip = new File(dir, "fast_text.vec.zip");
-            FileUtils.copyFile(new ClassPathResource("word2vecserialization/fast_text.vec.zip").getFile(), fastTextZip);
-        }
-        if (fastTextGzip == null) {
-            File dir = testDir.newFolder();
-            fastTextGzip = new File(dir, "fast_text.vec.gz");
-            FileUtils.copyFile(new ClassPathResource("word2vecserialization/fast_text.vec.gz").getFile(), fastTextGzip);
-        }
-        FileUtils.deleteDirectory(new File("word2vec-index"));
-    }
-
-    @Test
-    @Ignore
-    public void testLoaderTextSmall() throws Exception {
-        INDArray vec = Nd4j.create(new double[] {0.002001, 0.002210, -0.001915, -0.001639, 0.000683, 0.001511, 0.000470,
-                        0.000106, -0.001802, 0.001109, -0.002178, 0.000625, -0.000376, -0.000479, -0.001658, -0.000941,
-                        0.001290, 0.001513, 0.001485, 0.000799, 0.000772, -0.001901, -0.002048, 0.002485, 0.001901,
-                        0.001545, -0.000302, 0.002008, -0.000247, 0.000367, -0.000075, -0.001492, 0.000656, -0.000669,
-                        -0.001913, 0.002377, 0.002190, -0.000548, -0.000113, 0.000255, -0.001819, -0.002004, 0.002277,
-                        0.000032, -0.001291, -0.001521, -0.001538, 0.000848, 0.000101, 0.000666, -0.002107, -0.001904,
-                        -0.000065, 0.000572, 0.001275, -0.001585, 0.002040, 0.000463, 0.000560, -0.000304, 0.001493,
-                        -0.001144, -0.001049, 0.001079, -0.000377, 0.000515, 0.000902, -0.002044, -0.000992, 0.001457,
-                        0.002116, 0.001966, -0.001523, -0.001054, -0.000455, 0.001001, -0.001894, 0.001499, 0.001394,
-                        -0.000799, -0.000776, -0.001119, 0.002114, 0.001956, -0.000590, 0.002107, 0.002410, 0.000908,
-                        0.002491, -0.001556, -0.000766, -0.001054, -0.001454, 0.001407, 0.000790, 0.000212, -0.001097,
-                        0.000762, 0.001530, 0.000097, 0.001140, -0.002476, 0.002157, 0.000240, -0.000916, -0.001042,
-                        -0.000374, -0.001468, -0.002185, -0.001419, 0.002139, -0.000885, -0.001340, 0.001159, -0.000852,
-                        0.002378, -0.000802, -0.002294, 0.001358, -0.000037, -0.001744, 0.000488, 0.000721, -0.000241,
-                        0.000912, -0.001979, 0.000441, 0.000908, -0.001505, 0.000071, -0.000030, -0.001200, -0.001416,
-                        -0.002347, 0.000011, 0.000076, 0.000005, -0.001967, -0.002481, -0.002373, -0.002163, -0.000274,
-                        0.000696, 0.000592, -0.001591, 0.002499, -0.001006, -0.000637, -0.000702, 0.002366, -0.001882,
-                        0.000581, -0.000668, 0.001594, 0.000020, 0.002135, -0.001410, -0.001303, -0.002096, -0.001833,
-                        -0.001600, -0.001557, 0.001222, -0.000933, 0.001340, 0.001845, 0.000678, 0.001475, 0.001238,
-                        0.001170, -0.001775, -0.001717, -0.001828, -0.000066, 0.002065, -0.001368, -0.001530, -0.002098,
-                        0.001653, -0.002089, -0.000290, 0.001089, -0.002309, -0.002239, 0.000721, 0.001762, 0.002132,
-                        0.001073, 0.001581, -0.001564, -0.001820, 0.001987, -0.001382, 0.000877, 0.000287, 0.000895,
-                        -0.000591, 0.000099, -0.000843, -0.000563});
-        String w1 = "database";
-        String w2 = "DBMS";
-        WordVectors vecModel = WordVectorSerializer.readWord2VecModel(new ClassPathResource("word2vec/googleload/sample_vec.txt").getFile());
-        WordVectors vectorsBinary = WordVectorSerializer.readWord2VecModel(new ClassPathResource("word2vec/googleload/sample_vec.bin").getFile());
-        INDArray textWeights = vecModel.lookupTable().getWeights();
-        INDArray binaryWeights = vectorsBinary.lookupTable().getWeights();
-        Collection nearest = vecModel.wordsNearest("database", 10);
-        Collection nearestBinary = vectorsBinary.wordsNearest("database", 10);
-        System.out.println(nearestBinary);
-        assertEquals(vecModel.similarity("DBMS", "DBMS's"), vectorsBinary.similarity("DBMS", "DBMS's"), 1e-1);
-
-    }
-
-    @Test
-    public void testLoaderText() throws IOException {
-        WordVectors vec = WordVectorSerializer.readWord2VecModel(textFile);
-        assertEquals(vec.vocab().numWords(), 30);
-        assertTrue(vec.vocab().hasToken("Morgan_Freeman"));
-        assertTrue(vec.vocab().hasToken("JA_Montalbano"));
-    }
-
-    @Test
-    public void testLoaderStream() throws IOException {
-        WordVectors vec = WordVectorSerializer.readWord2VecModel(textFile);
-
-        assertEquals(vec.vocab().numWords(), 30);
-        assertTrue(vec.vocab().hasToken("Morgan_Freeman"));
-        assertTrue(vec.vocab().hasToken("JA_Montalbano"));
-    }
-
-    @Test
-    public void testLoaderBinary() throws IOException {
-        WordVectors vec = WordVectorSerializer.readWord2VecModel(binaryFile);
-        assertEquals(vec.vocab().numWords(), 30);
-        assertTrue(vec.vocab().hasToken("Morgan_Freeman"));
-        assertTrue(vec.vocab().hasToken("JA_Montalbano"));
-        double[] wordVector1 = vec.getWordVector("Morgan_Freeman");
-        double[] wordVector2 = vec.getWordVector("JA_Montalbano");
-        assertTrue(wordVector1.length == 300);
-        assertTrue(wordVector2.length == 300);
-        assertEquals(Doubles.asList(wordVector1).get(0), 0.044423, 1e-3);
-        assertEquals(Doubles.asList(wordVector2).get(0), 0.051964, 1e-3);
-    }
-
-    @Test
-    @Ignore
-    public void testWriteWordVectors() throws IOException {
-        WordVectors vec = WordVectorSerializer.readWord2VecModel(binaryFile);
-        InMemoryLookupTable lookupTable = (InMemoryLookupTable) vec.lookupTable();
-        InMemoryLookupCache lookupCache = (InMemoryLookupCache) vec.vocab();
-        WordVectorSerializer.writeWordVectors(lookupTable, lookupCache, pathToWriteto);
-
-        WordVectors wordVectors = WordVectorSerializer.loadTxtVectors(new File(pathToWriteto));
-        double[] wordVector1 = wordVectors.getWordVector("Morgan_Freeman");
-        double[] wordVector2 = wordVectors.getWordVector("JA_Montalbano");
-        assertTrue(wordVector1.length == 300);
-        assertTrue(wordVector2.length == 300);
-        assertEquals(Doubles.asList(wordVector1).get(0), 0.044423, 1e-3);
-        assertEquals(Doubles.asList(wordVector2).get(0), 0.051964, 1e-3);
-    }
-
-    @Test
-    @Ignore
-    public void testWriteWordVectorsFromWord2Vec() throws IOException {
-        WordVectors vec = WordVectorSerializer.readWord2VecModel(binaryFile, true);
-        WordVectorSerializer.writeWordVectors((Word2Vec) vec, pathToWriteto);
-
-        WordVectors wordVectors = WordVectorSerializer.loadTxtVectors(new File(pathToWriteto));
-        INDArray wordVector1 = wordVectors.getWordVectorMatrix("Morgan_Freeman");
-        INDArray wordVector2 = wordVectors.getWordVectorMatrix("JA_Montalbano");
-        assertEquals(vec.getWordVectorMatrix("Morgan_Freeman"), wordVector1);
-        assertEquals(vec.getWordVectorMatrix("JA_Montalbano"), wordVector2);
-        assertTrue(wordVector1.length() == 300);
-        assertTrue(wordVector2.length() == 300);
-        assertEquals(wordVector1.getDouble(0), 0.044423, 1e-3);
-        assertEquals(wordVector2.getDouble(0), 0.051964, 1e-3);
-    }
-
-    @Test
-    @Ignore
-    public void testFromTableAndVocab() throws IOException {
-
-        WordVectors vec = WordVectorSerializer.readWord2VecModel(textFile);
-        InMemoryLookupTable lookupTable = (InMemoryLookupTable) vec.lookupTable();
-        InMemoryLookupCache lookupCache = (InMemoryLookupCache) vec.vocab();
-
-        WordVectors wordVectors = WordVectorSerializer.fromTableAndVocab(lookupTable, lookupCache);
-        double[] wordVector1 = wordVectors.getWordVector("Morgan_Freeman");
-        double[] wordVector2 = wordVectors.getWordVector("JA_Montalbano");
-        assertTrue(wordVector1.length == 300);
-        assertTrue(wordVector2.length == 300);
-        assertEquals(Doubles.asList(wordVector1).get(0), 0.044423, 1e-3);
-        assertEquals(Doubles.asList(wordVector2).get(0), 0.051964, 1e-3);
-    }
-
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testIndexPersistence() throws Exception {
-        File inputFile = Resources.asFile("big/raw_sentences.txt");
-        SentenceIterator iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(5).iterations(1).epochs(1).layerSize(100)
-                        .stopWords(new ArrayList()).useAdaGrad(false).negativeSample(5).seed(42).windowSize(5)
-                        .iterate(iter).tokenizerFactory(t).build();
-
-        vec.fit();
-
-        VocabCache orig = vec.getVocab();
-
-        File tempFile = File.createTempFile("temp", "w2v");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeWordVectors(vec, tempFile);
-
-        WordVectors vec2 = WordVectorSerializer.loadTxtVectors(tempFile);
-
-        VocabCache rest = vec2.vocab();
-
-        assertEquals(orig.totalNumberOfDocs(), rest.totalNumberOfDocs());
-
-        for (VocabWord word : vec.getVocab().vocabWords()) {
-            INDArray array1 = vec.getWordVectorMatrix(word.getLabel());
-            INDArray array2 = vec2.getWordVectorMatrix(word.getLabel());
-
-            assertEquals(array1, array2);
-        }
-    }
-
-    @Test
-    public void testFullModelSerialization() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        File inputFile = Resources.asFile("big/raw_sentences.txt");
-
-
-        SentenceIterator iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        InMemoryLookupCache cache = new InMemoryLookupCache(false);
-        WeightLookupTable table = new InMemoryLookupTable.Builder().vectorLength(100).useAdaGrad(false).negative(5.0)
-                        .cache(cache).lr(0.025f).build();
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(5).iterations(1).epochs(1).layerSize(100)
-                        .lookupTable(table).stopWords(new ArrayList()).useAdaGrad(false).negativeSample(5)
-                        .vocabCache(cache).seed(42)
-                        //                .workers(6)
-                        .windowSize(5).iterate(iter).tokenizerFactory(t).build();
-
-        assertEquals(new ArrayList(), vec.getStopWords());
-        vec.fit();
-
-        //logger.info("Original word 0: " + cache.wordFor(cache.wordAtIndex(0)));
-
-        //logger.info("Closest Words:");
-        Collection lst = vec.wordsNearest("day", 10);
-        System.out.println(lst);
-
-        WordVectorSerializer.writeFullModel(vec, "tempModel.txt");
-
-        File modelFile = new File("tempModel.txt");
-        modelFile.deleteOnExit();
-
-        assertTrue(modelFile.exists());
-        assertTrue(modelFile.length() > 0);
-
-
-        Word2Vec vec2 = WordVectorSerializer.loadFullModel("tempModel.txt");
-
-        assertNotEquals(null, vec2);
-
-        assertEquals(vec.getConfiguration(), vec2.getConfiguration());
-
-        //logger.info("Source ExpTable: " + ArrayUtils.toString(((InMemoryLookupTable) table).getExpTable()));
-        //logger.info("Dest  ExpTable: " + ArrayUtils.toString(((InMemoryLookupTable)  vec2.getLookupTable()).getExpTable()));
-        assertTrue(ArrayUtils.isEquals(((InMemoryLookupTable) table).getExpTable(),
-                        ((InMemoryLookupTable) vec2.getLookupTable()).getExpTable()));
-
-
-        InMemoryLookupTable restoredTable = (InMemoryLookupTable) vec2.lookupTable();
-
-        /*
-        logger.info("Restored word 1: " + restoredTable.getVocab().wordFor(restoredTable.getVocab().wordAtIndex(1)));
-        logger.info("Restored word 'it': " + restoredTable.getVocab().wordFor("it"));
-        logger.info("Original word 1: " + cache.wordFor(cache.wordAtIndex(1)));
-        logger.info("Original word 'i': " + cache.wordFor("i"));
-        logger.info("Original word 0: " + cache.wordFor(cache.wordAtIndex(0)));
-        logger.info("Restored word 0: " + restoredTable.getVocab().wordFor(restoredTable.getVocab().wordAtIndex(0)));
-        */
-        assertEquals(cache.wordAtIndex(1), restoredTable.getVocab().wordAtIndex(1));
-        assertEquals(cache.wordAtIndex(7), restoredTable.getVocab().wordAtIndex(7));
-        assertEquals(cache.wordAtIndex(15), restoredTable.getVocab().wordAtIndex(15));
-
-        /*
-            these tests needed only to make sure INDArray equality is working properly
-         */
-        double[] array1 = new double[] {0.323232325, 0.65756575, 0.12315, 0.12312315, 0.1232135, 0.12312315,
-                        0.4343423425, 0.15};
-        double[] array2 = new double[] {0.423232325, 0.25756575, 0.12375, 0.12311315, 0.1232035, 0.12318315,
-                        0.4343493425, 0.25};
-        assertNotEquals(Nd4j.create(array1), Nd4j.create(array2));
-        assertEquals(Nd4j.create(array1), Nd4j.create(array1));
-
-
-        INDArray rSyn0_1 = restoredTable.getSyn0().slice(1);
-        INDArray oSyn0_1 = ((InMemoryLookupTable) table).getSyn0().slice(1);
-
-        //logger.info("Restored syn0: " + rSyn0_1);
-        //logger.info("Original syn0: " + oSyn0_1);
-
-        assertEquals(oSyn0_1, rSyn0_1);
-
-        // just checking $^###! syn0/syn1 order
-        int cnt = 0;
-        for (VocabWord word : cache.vocabWords()) {
-            INDArray rSyn0 = restoredTable.getSyn0().slice(word.getIndex());
-            INDArray oSyn0 = ((InMemoryLookupTable) table).getSyn0().slice(word.getIndex());
-
-            assertEquals(rSyn0, oSyn0);
-            assertEquals(1.0, arraysSimilarity(rSyn0, oSyn0), 0.001);
-
-            INDArray rSyn1 = restoredTable.getSyn1().slice(word.getIndex());
-            INDArray oSyn1 = ((InMemoryLookupTable) table).getSyn1().slice(word.getIndex());
-
-            assertEquals(rSyn1, oSyn1);
-            if (arraysSimilarity(rSyn1, oSyn1) < 0.98) {
-                //   logger.info("Restored syn1: " + rSyn1);
-                //   logger.info("Original  syn1: " + oSyn1);
-            }
-            // we exclude word 222 since it has syn1 full of zeroes
-            if (cnt != 222)
-                assertEquals(1.0, arraysSimilarity(rSyn1, oSyn1), 0.001);
-
-
-
-            if (((InMemoryLookupTable) table).getSyn1Neg() != null) {
-                INDArray rSyn1Neg = restoredTable.getSyn1Neg().slice(word.getIndex());
-                INDArray oSyn1Neg = ((InMemoryLookupTable) table).getSyn1Neg().slice(word.getIndex());
-
-                assertEquals(rSyn1Neg, oSyn1Neg);
-                //                assertEquals(1.0, arraysSimilarity(rSyn1Neg, oSyn1Neg), 0.001);
-            }
-            assertEquals(word.getHistoricalGradient(),
-                            restoredTable.getVocab().wordFor(word.getWord()).getHistoricalGradient());
-
-            cnt++;
-        }
-
-        // at this moment we can assume that whole model is transferred, and we can call fit over new model
-        //        iter.reset();
-
-        iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
-
-        vec2.setTokenizerFactory(t);
-        vec2.setSentenceIterator(iter);
-
-        vec2.fit();
-
-        INDArray day1 = vec.getWordVectorMatrix("day");
-        INDArray day2 = vec2.getWordVectorMatrix("day");
-
-        INDArray night1 = vec.getWordVectorMatrix("night");
-        INDArray night2 = vec2.getWordVectorMatrix("night");
-
-        double simD = arraysSimilarity(day1, day2);
-        double simN = arraysSimilarity(night1, night2);
-
-//        logger.info("Vec1 day: " + day1);
-//        logger.info("Vec2 day: " + day2);
-
-//        logger.info("Vec1 night: " + night1);
-//        logger.info("Vec2 night: " + night2);
-
-        logger.info("Day/day cross-model similarity: " + simD);
-        logger.info("Night/night cross-model similarity: " + simN);
-
-
-
-        logger.info("Vec1 day/night similiraty: " + vec.similarity("day", "night"));
-        logger.info("Vec2 day/night similiraty: " + vec2.similarity("day", "night"));
-
-        // check if cross-model values are not the same
-        assertNotEquals(1.0, simD, 0.001);
-        assertNotEquals(1.0, simN, 0.001);
-
-        // check if cross-model values are still close to each other
-        assertTrue(simD > 0.70);
-        assertTrue(simN > 0.70);
-
-        modelFile.delete();
-    }
-
-    @Test
-    @Ignore
-    public void testLoader() throws Exception {
-        WordVectors vec = WordVectorSerializer.loadTxtVectors(new File("/home/raver119/Downloads/_vectors.txt"));
-
-        logger.info("Rewinding: " + Arrays.toString(vec.getWordVector("rewinding")));
-    }
-
-
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testOutputStream() throws Exception {
-        File file = File.createTempFile("tmp_ser", "ssa");
-        file.deleteOnExit();
-
-        File inputFile = Resources.asFile("big/raw_sentences.txt");
-        SentenceIterator iter = new BasicLineIterator(inputFile);
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        InMemoryLookupCache cache = new InMemoryLookupCache(false);
-        WeightLookupTable table = new InMemoryLookupTable.Builder().vectorLength(100).useAdaGrad(false).negative(5.0)
-                        .cache(cache).lr(0.025f).build();
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(5).iterations(1).epochs(1).layerSize(100)
-                        .lookupTable(table).stopWords(new ArrayList()).useAdaGrad(false).negativeSample(5)
-                        .vocabCache(cache).seed(42)
-                        //                .workers(6)
-                        .windowSize(5).iterate(iter).tokenizerFactory(t).build();
-
-        assertEquals(new ArrayList(), vec.getStopWords());
-        vec.fit();
-
-        INDArray day1 = vec.getWordVectorMatrix("day");
-
-        WordVectorSerializer.writeWordVectors(vec, new FileOutputStream(file));
-
-        WordVectors vec2 = WordVectorSerializer.loadTxtVectors(file);
-
-        INDArray day2 = vec2.getWordVectorMatrix("day");
-
-        assertEquals(day1, day2);
-
-        File tempFile = File.createTempFile("tetsts", "Fdfs");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeWord2VecModel(vec, tempFile);
-
-        Word2Vec vec3 = WordVectorSerializer.readWord2VecModel(tempFile);
-    }
-
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testParaVecSerialization1() throws Exception {
-        VectorsConfiguration configuration = new VectorsConfiguration();
-        configuration.setIterations(14123);
-        configuration.setLayersSize(156);
-
-        INDArray syn0 = Nd4j.rand(100, configuration.getLayersSize());
-        INDArray syn1 = Nd4j.rand(100, configuration.getLayersSize());
-
-        AbstractCache cache = new AbstractCache.Builder().build();
-
-        for (int i = 0; i < 100; i++) {
-            VocabWord word = new VocabWord((float) i, "word_" + i);
-            List points = new ArrayList<>();
-            List codes = new ArrayList<>();
-            int num = RandomUtils.nextInt(1, 20);
-            for (int x = 0; x < num; x++) {
-                points.add(RandomUtils.nextInt(1, 100000));
-                codes.add(RandomUtils.nextBytes(10)[0]);
-            }
-            if (RandomUtils.nextInt(0, 10) < 3) {
-                word.markAsLabel(true);
-            }
-            word.setIndex(i);
-            word.setPoints(points);
-            word.setCodes(codes);
-            cache.addToken(word);
-            cache.addWordToIndex(i, word.getLabel());
-        }
-
-        InMemoryLookupTable lookupTable =
-                        (InMemoryLookupTable) new InMemoryLookupTable.Builder()
-                                        .vectorLength(configuration.getLayersSize()).cache(cache).build();
-
-        lookupTable.setSyn0(syn0);
-        lookupTable.setSyn1(syn1);
-
-        ParagraphVectors originalVectors =
-                        new ParagraphVectors.Builder(configuration).vocabCache(cache).lookupTable(lookupTable).build();
-
-        File tempFile = File.createTempFile("paravec", "tests");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeParagraphVectors(originalVectors, tempFile);
-
-        ParagraphVectors restoredVectors = WordVectorSerializer.readParagraphVectors(tempFile);
-
-        InMemoryLookupTable restoredLookupTable =
-                        (InMemoryLookupTable) restoredVectors.getLookupTable();
-        AbstractCache restoredVocab = (AbstractCache) restoredVectors.getVocab();
-
-        assertEquals(restoredLookupTable.getSyn0(), lookupTable.getSyn0());
-        assertEquals(restoredLookupTable.getSyn1(), lookupTable.getSyn1());
-
-        for (int i = 0; i < cache.numWords(); i++) {
-            assertEquals(cache.elementAtIndex(i).isLabel(), restoredVocab.elementAtIndex(i).isLabel());
-            assertEquals(cache.wordAtIndex(i), restoredVocab.wordAtIndex(i));
-            assertEquals(cache.elementAtIndex(i).getElementFrequency(),
-                            restoredVocab.elementAtIndex(i).getElementFrequency(), 0.1f);
-            List originalPoints = cache.elementAtIndex(i).getPoints();
-            List restoredPoints = restoredVocab.elementAtIndex(i).getPoints();
-            assertEquals(originalPoints.size(), restoredPoints.size());
-            for (int x = 0; x < originalPoints.size(); x++) {
-                assertEquals(originalPoints.get(x), restoredPoints.get(x));
-            }
-
-            List originalCodes = cache.elementAtIndex(i).getCodes();
-            List restoredCodes = restoredVocab.elementAtIndex(i).getCodes();
-            assertEquals(originalCodes.size(), restoredCodes.size());
-            for (int x = 0; x < originalCodes.size(); x++) {
-                assertEquals(originalCodes.get(x), restoredCodes.get(x));
-            }
-        }
-    }
-
-    private double arraysSimilarity(INDArray array1, INDArray array2) {
-        if (array1.equals(array2))
-            return 1.0;
-
-        INDArray vector = Transforms.unitVec(array1);
-        INDArray vector2 = Transforms.unitVec(array2);
-        if (vector == null || vector2 == null)
-            return -1;
-        return Nd4j.getBlasWrapper().dot(vector, vector2);
-
-    }
-
-
-    /**
-     * This method here is only to test real google model few gigabytes worth
-     * Keep it ignored, since it requirs full google model being present in system, which is 1.6gb compressed
-     *
-     * @throws Exception
-     */
-    @Test
-    @Ignore
-    public void testStaticLoaderGoogleModel() throws Exception {
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        long time1 = System.currentTimeMillis();
-        WordVectors vectors = WordVectorSerializer
-                        .loadStaticModel(new File("C:\\Users\\raver\\develop\\GoogleNews-vectors-negative300.bin.gz"));
-        long time2 = System.currentTimeMillis();
-
-        logger.info("Loading time: {} ms", (time2 - time1));
-    }
-
-    /**
-     * This method tests binary file loading as static model
-     *
-     * @throws Exception
-     */
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testStaticLoaderBinary() throws Exception {
-
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        WordVectors vectorsLive = WordVectorSerializer.readWord2VecModel(binaryFile);
-        WordVectors vectorsStatic = WordVectorSerializer.loadStaticModel(binaryFile);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("Morgan_Freeman");
-        INDArray arrayStatic = vectorsStatic.getWordVectorMatrix("Morgan_Freeman");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-    }
-
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testStaticLoaderFromStream() throws Exception {
-
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        WordVectors vectorsLive = WordVectorSerializer.readWord2VecModel(binaryFile);
-        WordVectors vectorsStatic = WordVectorSerializer.loadStaticModel(new FileInputStream(binaryFile));
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("Morgan_Freeman");
-        INDArray arrayStatic = vectorsStatic.getWordVectorMatrix("Morgan_Freeman");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-    }
-
-    /**
-     * This method tests CSV file loading as static model
-     *
-     * @throws Exception
-     */
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testStaticLoaderText() throws Exception {
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        WordVectors vectorsLive = WordVectorSerializer.loadTxtVectors(textFile);
-        WordVectors vectorsStatic = WordVectorSerializer.loadStaticModel(textFile);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("Morgan_Freeman");
-        INDArray arrayStatic = vectorsStatic.getWordVectorMatrix("Morgan_Freeman");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-    }
-
-    /**
-     * This method tests ZIP file loading as static model
-     *
-     * @throws Exception
-     */
-    @Test
-    @Ignore("AB 2019/06/24 - Failing: Ignored to get to all passing baseline to prevent regressions via CI - see issue #7912")
-    public void testStaticLoaderArchive() throws Exception {
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        File w2v = new ClassPathResource("word2vec.dl4j/file.w2v").getFile();
-
-        WordVectors vectorsLive = WordVectorSerializer.readWord2Vec(w2v);
-        WordVectors vectorsStatic = WordVectorSerializer.loadStaticModel(w2v);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("night");
-        INDArray arrayStatic = vectorsStatic.getWordVectorMatrix("night");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-    }
-
-    @Test
-    public void testUnifiedLoaderArchive1() throws Exception {
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        File w2v = new ClassPathResource("word2vec.dl4j/file.w2v").getFile();
-
-        WordVectors vectorsLive = WordVectorSerializer.readWord2Vec(w2v);
-        WordVectors vectorsUnified = WordVectorSerializer.readWord2VecModel(w2v, false);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("night");
-        INDArray arrayStatic = vectorsUnified.getWordVectorMatrix("night");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-
-        assertEquals(null, ((InMemoryLookupTable) vectorsUnified.lookupTable()).getSyn1());
-        assertEquals(null, ((InMemoryLookupTable) vectorsUnified.lookupTable()).getSyn1Neg());
-    }
-
-    @Test
-    public void testUnifiedLoaderArchive2() throws Exception {
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        File w2v = new ClassPathResource("word2vec.dl4j/file.w2v").getFile();
-
-        WordVectors vectorsLive = WordVectorSerializer.readWord2Vec(w2v);
-        WordVectors vectorsUnified = WordVectorSerializer.readWord2VecModel(w2v, true);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("night");
-        INDArray arrayStatic = vectorsUnified.getWordVectorMatrix("night");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-
-        assertNotEquals(null, ((InMemoryLookupTable) vectorsUnified.lookupTable()).getSyn1());
-    }
-
-    /**
-     * This method tests CSV file loading via unified loader
-     *
-     * @throws Exception
-     */
-    @Test
-    public void testUnifiedLoaderText() throws Exception {
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        WordVectors vectorsLive = WordVectorSerializer.loadTxtVectors(textFile);
-        WordVectors vectorsUnified = WordVectorSerializer.readWord2VecModel(textFile, true);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("Morgan_Freeman");
-        INDArray arrayStatic = vectorsUnified.getWordVectorMatrix("Morgan_Freeman");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-
-        // we're trying EXTENDED model, but file doesn't have syn1/huffman info, so it should be silently degraded to simplified model
-        assertEquals(null, ((InMemoryLookupTable) vectorsUnified.lookupTable()).getSyn1());
-    }
-
-    /**
-     * This method tests binary file loading via unified loader
-     *
-     * @throws Exception
-     */
-    @Test
-    public void testUnifiedLoaderBinary() throws Exception {
-
-        logger.info("Executor name: {}", Nd4j.getExecutioner().getClass().getSimpleName());
-
-        WordVectors vectorsLive = WordVectorSerializer.readWord2VecModel(binaryFile);
-        WordVectors vectorsStatic = WordVectorSerializer.readWord2VecModel(binaryFile, false);
-
-        INDArray arrayLive = vectorsLive.getWordVectorMatrix("Morgan_Freeman");
-        INDArray arrayStatic = vectorsStatic.getWordVectorMatrix("Morgan_Freeman");
-
-        assertNotEquals(null, arrayLive);
-        assertEquals(arrayLive, arrayStatic);
-    }
-
-    @Ignore
-    @Test
-    public void testBiggerParavecLoader() throws Exception {
-        ParagraphVectors vectors =
-                        WordVectorSerializer.readParagraphVectors("C:\\Users\\raver\\Downloads\\10kNews.zip");
-    }
-
-    @Test
-    public void testVocabPeristence() throws Exception {
-        val vocabA = new AbstractCache.Builder().build();
-
-        vocabA.addToken(new VocabWord(3.0, "alpha"));
-        vocabA.addWordToIndex(1, "alpha");
-
-        vocabA.addToken(new VocabWord(4.0, "beta"));
-        vocabA.addWordToIndex(0, "beta");
-
-        val tmpFile = File.createTempFile("sdsds","sfdsfdsgsdf");
-        tmpFile.deleteOnExit();
-
-        vocabA.setTotalWordOccurences(200);
-        vocabA.incrementTotalDocCount(100);
-
-        assertEquals(100, vocabA.totalNumberOfDocs());
-        assertEquals(200, vocabA.totalWordOccurrences());
-
-        WordVectorSerializer.writeVocabCache(vocabA, tmpFile);
-
-        val vocabB = WordVectorSerializer.readVocabCache(tmpFile);
-
-        assertEquals(vocabA.wordAtIndex(0), vocabB.wordAtIndex(0));
-        assertEquals(vocabA.wordAtIndex(1), vocabB.wordAtIndex(1));
-
-        assertEquals(vocabA.numWords(), vocabB.numWords());
-        assertEquals(vocabA.totalNumberOfDocs(), vocabB.totalNumberOfDocs());
-        assertEquals(vocabA.totalWordOccurrences(), vocabB.totalWordOccurrences());
-    }
-
-    @Test
-    public void testMalformedLabels1() throws Exception {
-        List words = new ArrayList<>();
-        words.add("test A");
-        words.add("test B");
-        words.add("test\nC");
-        words.add("test`D");
-        words.add("test_E");
-        words.add("test 5");
-
-        AbstractCache vocabCache = new AbstractCache<>();
-        int cnt = 0;
-        for (String word : words) {
-            vocabCache.addToken(new VocabWord(1.0, word));
-            vocabCache.addWordToIndex(cnt, word);
-            cnt++;
-        }
-
-        vocabCache.elementAtIndex(1).markAsLabel(true);
-
-        InMemoryLookupTable lookupTable =
-                        new InMemoryLookupTable<>(vocabCache, 10, false, 0.01, Nd4j.getRandom(), 0.0);
-        lookupTable.resetWeights(true);
-
-        assertNotEquals(null, lookupTable.getSyn0());
-        assertNotEquals(null, lookupTable.getSyn1());
-        assertNotEquals(null, lookupTable.getExpTable());
-        assertEquals(null, lookupTable.getSyn1Neg());
-
-        ParagraphVectors vec = new ParagraphVectors.Builder().lookupTable(lookupTable).vocabCache(vocabCache).build();
-
-        File tempFile = File.createTempFile("temp", "w2v");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeParagraphVectors(vec, tempFile);
-
-
-        ParagraphVectors restoredVec = WordVectorSerializer.readParagraphVectors(tempFile);
-
-        for (String word : words) {
-            assertEquals(true, restoredVec.hasWord(word));
-        }
-
-        assertTrue(restoredVec.getVocab().elementAtIndex(1).isLabel());
-    }
-
-    @Test
-    public void testB64_1() throws Exception {
-        String wordA = "night";
-        String wordB = "night day";
-        String encA = WordVectorSerializer.ReadHelper.encodeB64(wordA);
-        String encB = WordVectorSerializer.ReadHelper.encodeB64(wordB);
-
-        assertEquals(wordA, WordVectorSerializer.ReadHelper.decodeB64(encA));
-        assertEquals(wordB, WordVectorSerializer.ReadHelper.decodeB64(encB));
-
-        assertEquals(wordA, WordVectorSerializer.ReadHelper.decodeB64(wordA));
-        assertEquals(wordB, WordVectorSerializer.ReadHelper.decodeB64(wordB));
-
-    }
-
-    @Test
-    public void testFastText() {
-        File[] files = { fastTextRaw, fastTextZip, fastTextGzip };
-        for (File file : files) {
-            try {
-                Word2Vec word2Vec = WordVectorSerializer.readAsCsv(file);
-                assertEquals(99, word2Vec.getVocab().numWords());
-            } catch (Exception readCsvException) {
-                fail("Failure for input file " + file.getAbsolutePath() + " " + readCsvException.getMessage());
-            }
-        }
-    }
-
-    @Test
-    public void testFastText_readWord2VecModel() {
-        File[] files = { fastTextRaw, fastTextZip, fastTextGzip };
-        for (File file : files) {
-            try {
-                Word2Vec word2Vec = WordVectorSerializer.readWord2VecModel(file);
-                assertEquals(99, word2Vec.getVocab().numWords());
-            } catch (Exception readCsvException) {
-                fail("Failure for input file " + file.getAbsolutePath() + " " + readCsvException.getMessage());
-            }
-        }
-    }
-
-    @Test
-    public void testBackwardsCompatibleWord2Vec() {
-        File model_v3 = Resources.asFile("deeplearning4j-nlp/model_beta3.zip");
-        File model_v4 = Resources.asFile("deeplearning4j-nlp/model_beta4.zip");
-        Word2Vec word2Vec1 = WordVectorSerializer.readWord2VecModel(model_v3, true);
-        Word2Vec word2Vec2 = WordVectorSerializer.readWord2VecModel(model_v4, true);
-        try {
-            assertEquals(word2Vec1.toJson(), word2Vec2.toJson());
-        } catch (Exception e) {
-            fail(e.getMessage());
-        }
-    }
-
-    @Test
-    public void testBackwardsCompatibleSequenceVectors() {
-        File model_v3 = Resources.asFile("deeplearning4j-nlp/seqv_beta3.csv");
-        File model_v4 = Resources.asFile("deeplearning4j-nlp/seqv_beta4.csv");
-        try {
-            SequenceVectors vectors1 = WordVectorSerializer.readSequenceVectors(new VocabWordFactory(), model_v3);
-            SequenceVectors vectors2 = WordVectorSerializer.readSequenceVectors(new VocabWordFactory(), model_v4);
-
-            assertEquals(vectors1.vocab().numWords(), vectors2.vocab().numWords());
-            for (int i = 0; i < vectors1.vocab().numWords(); ++i) {
-                assertEquals(vectors1.vocab().words().toArray()[i], vectors2.vocab().words().toArray()[i]);
-            }
-        } catch (Exception e) {
-            fail(e.getMessage());
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/embeddings/loader/VectorsConfigurationTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/embeddings/loader/VectorsConfigurationTest.java
deleted file mode 100644
index a965afce1..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/embeddings/loader/VectorsConfigurationTest.java
+++ /dev/null
@@ -1,85 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.models.embeddings.loader;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.models.word2vec.Word2Vec;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaSentenceIterator;
-import org.junit.Before;
-import org.junit.Test;
-import org.nd4j.common.resources.Resources;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.File;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * Created by fartovii on 21.11.15.
- */
-public class VectorsConfigurationTest extends BaseDL4JTest {
-
-    protected static final Logger log = LoggerFactory.getLogger(VectorsConfigurationTest.class);
-
-    @Before
-    public void setUp() throws Exception {
-
-    }
-
-    @Test
-    public void testFromJson() throws Exception {
-        VectorsConfiguration configuration = new VectorsConfiguration();
-        configuration.setHugeModelExpected(true);
-        configuration.setWindow(5);
-        configuration.setIterations(3);
-        configuration.setLayersSize(200);
-        configuration.setLearningRate(1.4d);
-        configuration.setSampling(0.0005d);
-        configuration.setMinLearningRate(0.25d);
-        configuration.setEpochs(1);
-
-        String json = configuration.toJson();
-        log.info("Conf. JSON: " + json);
-        VectorsConfiguration configuration2 = VectorsConfiguration.fromJson(json);
-
-        assertEquals(configuration, configuration2);
-    }
-
-    @Test(timeout = 300000)
-    public void testFromW2V() throws Exception {
-        VectorsConfiguration configuration = new VectorsConfiguration();
-        configuration.setHugeModelExpected(true);
-        configuration.setWindow(5);
-        configuration.setIterations(3);
-        configuration.setLayersSize(200);
-        configuration.setLearningRate(1.4d);
-        configuration.setSampling(0.0005d);
-        configuration.setMinLearningRate(0.25d);
-        configuration.setEpochs(1);
-
-        File inputFile = Resources.asFile("big/raw_sentences.txt");
-        SentenceIterator iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
-
-        Word2Vec vec = new Word2Vec.Builder(configuration).iterate(iter).build();
-
-        VectorsConfiguration configuration2 = vec.getConfiguration();
-
-        assertEquals(configuration, configuration2);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/word2vec/Word2VecTests.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/word2vec/Word2VecTests.java
deleted file mode 100755
index 73c7f0010..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/models/word2vec/Word2VecTests.java
+++ /dev/null
@@ -1,965 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.models.word2vec;
-
-import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.io.IOUtils;
-import org.apache.commons.io.LineIterator;
-import org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator;
-import org.junit.Rule;
-import org.junit.rules.Timeout;
-import org.nd4j.shade.guava.primitives.Doubles;
-import org.nd4j.shade.guava.primitives.Ints;
-import lombok.val;
-import org.apache.commons.io.FileUtils;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable;
-import org.deeplearning4j.models.embeddings.loader.VectorsConfiguration;
-import org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache;
-import org.nd4j.common.io.ClassPathResource;
-import org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW;
-import org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram;
-import org.deeplearning4j.models.embeddings.loader.WordVectorSerializer;
-import org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils;
-import org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils;
-import org.deeplearning4j.models.embeddings.wordvectors.WordVectors;
-import org.deeplearning4j.text.sentenceiterator.BasicLineIterator;
-import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaSentenceIterator;
-import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.junit.Before;
-import org.junit.Ignore;
-import org.junit.Test;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.linalg.ops.transforms.Transforms;
-import org.nd4j.common.resources.Resources;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.*;
-import java.nio.charset.StandardCharsets;
-import java.util.*;
-
-import static org.junit.Assert.*;
-
-
-/**
- * @author jeffreytang
- */
-@Slf4j
-public class Word2VecTests extends BaseDL4JTest {
-
-    private static final Logger log = LoggerFactory.getLogger(Word2VecTests.class);
-
-    private File inputFile;
-    private File inputFile2;
-    private String pathToWriteto;
-    private WordVectors googleModel;
-
-    @Rule
-    public Timeout timeout = Timeout.seconds(300);
-
-    @Before
-    public void before() throws Exception {
-        File googleModelTextFile = new ClassPathResource("word2vecserialization/google_news_30.txt").getFile();
-        googleModel = WordVectorSerializer.readWord2VecModel(googleModelTextFile);
-        inputFile = Resources.asFile("big/raw_sentences.txt");
-        inputFile2 = Resources.asFile("big/raw_sentences_2.txt");
-
-        File ptwt = new File(System.getProperty("java.io.tmpdir"), "testing_word2vec_serialization.txt");
-
-        pathToWriteto = ptwt.getAbsolutePath();
-
-
-
-        FileUtils.deleteDirectory(new File("word2vec-index"));
-    }
-
-    @Test
-    public void testGoogleModelLoaded() throws Exception {
-        assertEquals(googleModel.vocab().numWords(), 30);
-        assertTrue(googleModel.hasWord("Morgan_Freeman"));
-        double[] wordVector = googleModel.getWordVector("Morgan_Freeman");
-        assertTrue(wordVector.length == 300);
-        assertEquals(Doubles.asList(wordVector).get(0), 0.044423, 1e-3);
-    }
-
-    @Test
-    public void testSimilarity() throws Exception {
-        testGoogleModelLoaded();
-        assertEquals(googleModel.similarity("Benkovic", "Boeremag_trialists"), 0.1204, 1e-2);
-        assertEquals(googleModel.similarity("Benkovic", "Gopie"), 0.3350, 1e-2);
-        assertEquals(googleModel.similarity("Benkovic", "Youku.com"), 0.0116, 1e-2);
-    }
-
-    @Test
-    public void testWordsNearest() throws Exception {
-        testGoogleModelLoaded();
-        List lst = Arrays.asList(googleModel.wordsNearest("Benkovic", 10).toArray());
-
-        assertTrue(lst.contains("Gopie"));
-        assertTrue(lst.contains("JIM_HOOK_Senior"));
-        /*
-        assertEquals(lst.get(0), "Gopie");
-        assertEquals(lst.get(1), "JIM_HOOK_Senior");
-        */
-    }
-
-    @Test
-    public void testUIMAIterator() throws Exception {
-        SentenceIterator iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
-        assertEquals(iter.nextSentence(), "No ,  he says now .");
-    }
-
-    @Test
-    @Ignore // no adagrad these days
-    public void testWord2VecAdaGrad() throws Exception {
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(5).iterations(5).learningRate(0.025).layerSize(100)
-                        .seed(42).batchSize(13500).sampling(0).negativeSample(0)
-                        //.epochs(10)
-                        .windowSize(5).modelUtils(new BasicModelUtils()).useAdaGrad(false)
-                        .useHierarchicSoftmax(true).iterate(iter).workers(4).tokenizerFactory(t).build();
-
-        vec.fit();
-
-        Collection lst = vec.wordsNearest("day", 10);
-        log.info(Arrays.toString(lst.toArray()));
-
-        //   assertEquals(10, lst.size());
-
-        double sim = vec.similarity("day", "night");
-        log.info("Day/night similarity: " + sim);
-
-        assertTrue(lst.contains("week"));
-        assertTrue(lst.contains("night"));
-        assertTrue(lst.contains("year"));
-    }
-
-    @Test
-    public void testWord2VecCBOW() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(1).learningRate(0.025).layerSize(150)
-                        .seed(42).sampling(0).negativeSample(0).useHierarchicSoftmax(true).windowSize(5)
-                        .modelUtils(new BasicModelUtils()).useAdaGrad(false).iterate(iter).workers(4)
-                        .tokenizerFactory(t).elementsLearningAlgorithm(new CBOW()).build();
-
-        vec.fit();
-
-        Collection lst = vec.wordsNearest("day", 10);
-        log.info(Arrays.toString(lst.toArray()));
-
-        //   assertEquals(10, lst.size());
-
-        double sim = vec.similarity("day", "night");
-        log.info("Day/night similarity: " + sim);
-
-        assertTrue(lst.contains("week"));
-        assertTrue(lst.contains("night"));
-        assertTrue(lst.contains("year"));
-        assertTrue(sim > 0.65f);
-    }
-
-
-    @Test
-    public void testWord2VecMultiEpoch() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        SentenceIterator iter;
-        if(isIntegrationTests()){
-            iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        } else {
-            iter = new CollectionSentenceIterator(firstNLines(inputFile, 50000));
-        }
-
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(5).learningRate(0.025).layerSize(150)
-                        .seed(42).sampling(0).negativeSample(0).useHierarchicSoftmax(true).windowSize(5).epochs(3)
-                        .modelUtils(new BasicModelUtils()).useAdaGrad(false).iterate(iter).workers(8)
-                        .tokenizerFactory(t).elementsLearningAlgorithm(new CBOW()).build();
-
-        vec.fit();
-
-        Collection lst = vec.wordsNearest("day", 10);
-        log.info(Arrays.toString(lst.toArray()));
-
-        //   assertEquals(10, lst.size());
-
-        double sim = vec.similarity("day", "night");
-        log.info("Day/night similarity: " + sim);
-
-        assertTrue(lst.contains("week"));
-        assertTrue(lst.contains("night"));
-        assertTrue(lst.contains("year"));
-    }
-
-    @Test
-    public void reproducibleResults_ForMultipleRuns() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        log.info("reproducibleResults_ForMultipleRuns");
-        val shakespear = new ClassPathResource("big/rnj.txt");
-        val basic = new ClassPathResource("big/rnj.txt");
-        SentenceIterator iter = new BasicLineIterator(inputFile);
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec1 = new Word2Vec.Builder().minWordFrequency(1).iterations(1).batchSize(8192).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .useHierarchicSoftmax(true)
-                .modelUtils(new BasicModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-        Word2Vec vec2 = new Word2Vec.Builder().minWordFrequency(1).iterations(1).batchSize(8192).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .useHierarchicSoftmax(true)
-                .modelUtils(new BasicModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-        vec1.fit();
-
-        iter.reset();
-
-        vec2.fit();
-
-        for (int e = 0; e < vec1.getVocab().numWords(); e++) {
-            val w1 = vec1.getVocab().elementAtIndex(e);
-            val w2 = vec2.getVocab().elementAtIndex(e);
-
-            assertNotNull(w1);
-            assertNotNull(w2);
-
-            assertEquals(w1.getLabel(), w2.getLabel());
-
-            assertArrayEquals("Failed for token [" + w1.getLabel() + "] at index [" + e + "]", Ints.toArray(w1.getPoints()), Ints.toArray(w2.getPoints()));
-            assertArrayEquals("Failed for token [" + w1.getLabel() + "] at index [" + e + "]", Ints.toArray(w1.getCodes()), Ints.toArray(w2.getCodes()));
-        }
-
-        val syn0_from_vec1 = ((InMemoryLookupTable) vec1.getLookupTable()).getSyn0();
-        val syn0_from_vec2 = ((InMemoryLookupTable) vec2.getLookupTable()).getSyn0();
-
-        assertEquals(syn0_from_vec1, syn0_from_vec2);
-
-        log.info("Day/night similarity: {}", vec1.similarity("day", "night"));
-        val result = vec1.wordsNearest("day", 10);
-        printWords("day", result, vec1);
-    }
-    
-    @Test
-    public void testRunWord2Vec() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        // Strip white space before and after for each line
-        /*val shakespear = new ClassPathResource("big/rnj.txt");
-        SentenceIterator iter = new BasicLineIterator(shakespear.getFile());*/
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(1).batchSize(8192).layerSize(100)
-                        .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                        .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                        //.negativeSample(10)
-                        .epochs(1).windowSize(5).allowParallelTokenization(true)
-                        .workers(6)
-                        .usePreciseMode(true)
-                        .modelUtils(new BasicModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-        assertEquals(new ArrayList(), vec.getStopWords());
-        vec.fit();
-        File tempFile = File.createTempFile("temp", "temp");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeFullModel(vec, tempFile.getAbsolutePath());
-        Collection lst = vec.wordsNearest("day", 10);
-        //log.info(Arrays.toString(lst.toArray()));
-        printWords("day", lst, vec);
-
-        assertEquals(10, lst.size());
-
-        double sim = vec.similarity("day", "night");
-        log.info("Day/night similarity: " + sim);
-
-        assertTrue(sim < 1.0);
-        assertTrue(sim > 0.4);
-
-
-        assertTrue(lst.contains("week"));
-        assertTrue(lst.contains("night"));
-        assertTrue(lst.contains("year"));
-
-        assertFalse(lst.contains(null));
-
-
-        lst = vec.wordsNearest("day", 10);
-        //log.info(Arrays.toString(lst.toArray()));
-        printWords("day", lst, vec);
-
-        assertTrue(lst.contains("week"));
-        assertTrue(lst.contains("night"));
-        assertTrue(lst.contains("year"));
-
-        new File("cache.ser").delete();
-
-        ArrayList labels = new ArrayList<>();
-        labels.add("day");
-        labels.add("night");
-        labels.add("week");
-
-        INDArray matrix = vec.getWordVectors(labels);
-        assertEquals(matrix.getRow(0, true), vec.getWordVectorMatrix("day"));
-        assertEquals(matrix.getRow(1, true), vec.getWordVectorMatrix("night"));
-        assertEquals(matrix.getRow(2, true), vec.getWordVectorMatrix("week"));
-
-        WordVectorSerializer.writeWordVectors(vec, pathToWriteto);
-    }
-
-    /**
-     * Adding test for cosine similarity, to track changes in Transforms.cosineSim()
-     */
-    @Test
-    public void testCosineSim() {
-        double[] array1 = new double[] {1.01, 0.91, 0.81, 0.71};
-        double[] array2 = new double[] {1.01, 0.91, 0.81, 0.71};
-        double[] array3 = new double[] {1.0, 0.9, 0.8, 0.7};
-
-        double sim12 = Transforms.cosineSim(Nd4j.create(array1), Nd4j.create(array2));
-        double sim23 = Transforms.cosineSim(Nd4j.create(array2), Nd4j.create(array3));
-        log.info("Arrays 1/2 cosineSim: " + sim12);
-        log.info("Arrays 2/3 cosineSim: " + sim23);
-        log.info("Arrays 1/2 dot: " + Nd4j.getBlasWrapper().dot(Nd4j.create(array1), Nd4j.create(array2)));
-        log.info("Arrays 2/3 dot: " + Nd4j.getBlasWrapper().dot(Nd4j.create(array2), Nd4j.create(array3)));
-
-        assertEquals(1.0d, sim12, 0.01d);
-        assertEquals(0.99d, sim23, 0.01d);
-    }
-
-    @Test
-    public void testLoadingWordVectors() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        File modelFile = new File(pathToWriteto);
-        if (!modelFile.exists()) {
-            testRunWord2Vec();
-        }
-        WordVectors wordVectors = WordVectorSerializer.loadTxtVectors(modelFile);
-        Collection lst = wordVectors.wordsNearest("day", 10);
-        System.out.println(Arrays.toString(lst.toArray()));
-    }
-
-    @Ignore
-    @Test
-    public void testWord2VecGoogleModelUptraining() throws Exception {
-        long time1 = System.currentTimeMillis();
-        Word2Vec vec = WordVectorSerializer.readWord2VecModel(
-                        new File("C:\\Users\\raver\\Downloads\\GoogleNews-vectors-negative300.bin.gz"), false);
-        long time2 = System.currentTimeMillis();
-        log.info("Model loaded in {} msec", time2 - time1);
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        vec.setTokenizerFactory(t);
-        vec.setSentenceIterator(iter);
-        vec.getConfiguration().setUseHierarchicSoftmax(false);
-        vec.getConfiguration().setNegative(5.0);
-        vec.setElementsLearningAlgorithm(new CBOW());
-
-        vec.fit();
-    }
-
-    @Test
-    public void testW2VnegativeOnRestore() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        // Strip white space before and after for each line
-        SentenceIterator iter;
-        if(isIntegrationTests()){
-            iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        } else {
-            iter = new CollectionSentenceIterator(firstNLines(inputFile, 300));
-        }
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(3).batchSize(8192).layerSize(100)
-                        .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                        .sampling(0).elementsLearningAlgorithm(new SkipGram()).negativeSample(10).epochs(1)
-                        .windowSize(5).useHierarchicSoftmax(false).allowParallelTokenization(true)
-                        .modelUtils(new FlatModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-
-        assertEquals(false, vec.getConfiguration().isUseHierarchicSoftmax());
-
-        log.info("Fit 1");
-        vec.fit();
-
-        File tmpFile = File.createTempFile("temp", "file");
-        tmpFile.deleteOnExit();
-
-        WordVectorSerializer.writeWord2VecModel(vec, tmpFile);
-
-        iter.reset();
-
-        Word2Vec restoredVec = WordVectorSerializer.readWord2VecModel(tmpFile, true);
-        restoredVec.setTokenizerFactory(t);
-        restoredVec.setSentenceIterator(iter);
-
-        assertEquals(false, restoredVec.getConfiguration().isUseHierarchicSoftmax());
-        assertTrue(restoredVec.getModelUtils() instanceof FlatModelUtils);
-        assertTrue(restoredVec.getConfiguration().isAllowParallelTokenization());
-
-        log.info("Fit 2");
-        restoredVec.fit();
-
-
-        iter.reset();
-        restoredVec = WordVectorSerializer.readWord2VecModel(tmpFile, false);
-        restoredVec.setTokenizerFactory(t);
-        restoredVec.setSentenceIterator(iter);
-
-        assertEquals(false, restoredVec.getConfiguration().isUseHierarchicSoftmax());
-        assertTrue(restoredVec.getModelUtils() instanceof BasicModelUtils);
-
-        log.info("Fit 3");
-        restoredVec.fit();
-    }
-
-    @Test
-    public void testUnknown1() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        // Strip white space before and after for each line
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(10).useUnknown(true)
-                        .unknownElement(new VocabWord(1.0, "PEWPEW")).iterations(1).layerSize(100)
-                        .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                        .sampling(0).elementsLearningAlgorithm(new CBOW()).epochs(1).windowSize(5)
-                        .useHierarchicSoftmax(true).allowParallelTokenization(true)
-                        .modelUtils(new FlatModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-        vec.fit();
-
-        assertTrue(vec.hasWord("PEWPEW"));
-        assertTrue(vec.getVocab().containsWord("PEWPEW"));
-
-        INDArray unk = vec.getWordVectorMatrix("PEWPEW");
-        assertNotEquals(null, unk);
-
-        File tempFile = File.createTempFile("temp", "file");
-        tempFile.deleteOnExit();
-
-        WordVectorSerializer.writeWord2VecModel(vec, tempFile);
-
-        log.info("Original configuration: {}", vec.getConfiguration());
-
-        Word2Vec restored = WordVectorSerializer.readWord2VecModel(tempFile);
-
-        assertTrue(restored.hasWord("PEWPEW"));
-        assertTrue(restored.getVocab().containsWord("PEWPEW"));
-        INDArray unk_restored = restored.getWordVectorMatrix("PEWPEW");
-
-        assertEquals(unk, unk_restored);
-
-
-
-        // now we're getting some junk word
-        INDArray random = vec.getWordVectorMatrix("hhsd7d7sdnnmxc_SDsda");
-        INDArray randomRestored = restored.getWordVectorMatrix("hhsd7d7sdnnmxc_SDsda");
-
-        log.info("Restored configuration: {}", restored.getConfiguration());
-
-        assertEquals(unk, random);
-        assertEquals(unk, randomRestored);
-    }
-
-    @Test
-    public void orderIsCorrect_WhenParallelized() throws Exception {
-        // Strip white space before and after for each line
-        SentenceIterator iter;
-        if(isIntegrationTests()){
-            iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        } else {
-            iter = new CollectionSentenceIterator(firstNLines(inputFile, 300));
-        }
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(3).batchSize(64).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                //.negativeSample(10)
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .modelUtils(new BasicModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-
-        vec.fit();
-        System.out.println(vec.getVocab().numWords());
-
-        val words = vec.getVocab().words();
-        assertTrue(words.size() > 0);
-//        for (val word : words) {
-//            System.out.println(word);
-//        }
-    }
-
-    @Test
-    public void testJSONSerialization() {
-        Word2Vec word2Vec = new Word2Vec.Builder()
-                .layerSize(1000)
-                .limitVocabularySize(1000)
-                .elementsLearningAlgorithm(CBOW.class.getCanonicalName())
-                .allowParallelTokenization(true)
-                .modelUtils(new FlatModelUtils())
-                .usePreciseMode(true)
-                .batchSize(1024)
-                .windowSize(23)
-                .minWordFrequency(24)
-                .iterations(54)
-                .seed(45)
-                .learningRate(0.08)
-                .epochs(45)
-                .stopWords(Collections.singletonList("NOT"))
-                .sampling(44)
-                .workers(45)
-                .negativeSample(56)
-                .useAdaGrad(true)
-                .useHierarchicSoftmax(false)
-                .minLearningRate(0.002)
-                .resetModel(true)
-                .useUnknown(true)
-                .enableScavenger(true)
-                .usePreciseWeightInit(true)
-                .build();
-
-
-        AbstractCache cache = new AbstractCache.Builder().build();
-
-        val words = new VocabWord[3];
-        words[0] = new VocabWord(1.0, "word");
-        words[1] = new VocabWord(2.0, "test");
-        words[2] = new VocabWord(3.0, "tester");
-
-        for (int i = 0; i < words.length; ++i) {
-            cache.addToken(words[i]);
-            cache.addWordToIndex(i, words[i].getLabel());
-        }
-        word2Vec.setVocab(cache);
-
-        String json = null;
-        Word2Vec unserialized = null;
-        try {
-            json = word2Vec.toJson();
-            log.info("{}", json.toString());
-
-            unserialized = Word2Vec.fromJson(json);
-        }
-        catch (Exception e) {
-            log.error("",e);
-            fail();
-        }
-
-        assertEquals(cache.totalWordOccurrences(),((Word2Vec) unserialized).getVocab().totalWordOccurrences());
-        assertEquals(cache.totalNumberOfDocs(), ((Word2Vec) unserialized).getVocab().totalNumberOfDocs());
-
-        for (int i = 0; i < words.length; ++i) {
-            val cached = cache.wordAtIndex(i);
-            val restored = ((Word2Vec) unserialized).getVocab().wordAtIndex(i);
-            assertNotNull(cached);
-            assertEquals(cached, restored);
-        }
-    }
-
-    @Test
-    public void testWord2VecConfigurationConsistency() {
-        VectorsConfiguration configuration = new VectorsConfiguration();
-
-        assertEquals(configuration.getLayersSize(), 200);
-        assertEquals(configuration.getLayersSize(), 200);
-        assert(configuration.getElementsLearningAlgorithm() == null);
-        assertEquals(configuration.isAllowParallelTokenization(), false);
-        assertEquals(configuration.isPreciseMode(), false);
-        assertEquals(configuration.getBatchSize(), 512);
-        assert(configuration.getModelUtils() == null);
-        assertTrue(!configuration.isPreciseMode());
-        assertEquals(configuration.getBatchSize(), 512);
-        assertEquals(configuration.getWindow(), 5);
-        assertEquals(configuration.getMinWordFrequency(), 5);
-        assertEquals(configuration.getIterations(), 1);
-        assertEquals(configuration.getSeed(), 0);
-        assertEquals(configuration.getLearningRate(), 0.025, 1e-5f);
-        assertEquals(configuration.getEpochs(), 1);
-        assertTrue(configuration.getStopList().isEmpty());
-        assertEquals(configuration.getSampling(), 0.0, 1e-5f);
-        assertEquals(configuration.getNegative(), 0, 1e-5f);
-        assertTrue(!configuration.isUseAdaGrad());
-        assertTrue(configuration.isUseHierarchicSoftmax());
-        assertEquals(configuration.getMinLearningRate(), 1.0E-4, 1e-5f);
-        assertTrue(!configuration.isUseUnknown());
-
-
-        Word2Vec word2Vec = new Word2Vec.Builder(configuration)
-                .layerSize(1000)
-                .limitVocabularySize(1000)
-                .elementsLearningAlgorithm(CBOW.class.getCanonicalName())
-                .allowParallelTokenization(true)
-                .modelUtils(new FlatModelUtils())
-                .usePreciseMode(true)
-                .batchSize(1024)
-                .windowSize(23)
-                .minWordFrequency(24)
-                .iterations(54)
-                .seed(45)
-                .learningRate(0.08)
-                .epochs(45)
-                .stopWords(Collections.singletonList("NOT"))
-                .sampling(44)
-                .workers(45)
-                .negativeSample(56)
-                .useAdaGrad(true)
-                .useHierarchicSoftmax(false)
-                .minLearningRate(0.002)
-                .resetModel(true)
-                .useUnknown(true)
-                .enableScavenger(true)
-                .usePreciseWeightInit(true)
-                .build();
-
-        assertEquals(word2Vec.getConfiguration().getLayersSize(), word2Vec.getLayerSize());
-        assertEquals(word2Vec.getConfiguration().getLayersSize(), 1000);
-        assertEquals(word2Vec.getConfiguration().getElementsLearningAlgorithm(), CBOW.class.getCanonicalName());
-        assertEquals(word2Vec.getConfiguration().isAllowParallelTokenization(), true);
-        assertEquals(word2Vec.getConfiguration().isPreciseMode(), true);
-        assertEquals(word2Vec.getConfiguration().getBatchSize(), 1024);
-
-        String modelUtilsName = word2Vec.getConfiguration().getModelUtils();
-        assertEquals(modelUtilsName, FlatModelUtils.class.getCanonicalName());
-
-        assertTrue(word2Vec.getConfiguration().isPreciseMode());
-        assertEquals(word2Vec.getConfiguration().getBatchSize(), 1024);
-
-        assertEquals(word2Vec.getConfiguration().getWindow(), 23);
-        assertEquals(word2Vec.getConfiguration().getMinWordFrequency(), 24);
-        assertEquals(word2Vec.getConfiguration().getIterations(), 54);
-        assertEquals(word2Vec.getConfiguration().getSeed(), 45);
-        assertEquals(word2Vec.getConfiguration().getLearningRate(), 0.08, 1e-5f);
-        assertEquals(word2Vec.getConfiguration().getEpochs(), 45);
-
-        assertEquals(word2Vec.getConfiguration().getStopList().size(), 1);
-
-        assertEquals(configuration.getSampling(), 44.0, 1e-5f);
-        assertEquals(configuration.getNegative(), 56.0, 1e-5f);
-        assertTrue(configuration.isUseAdaGrad());
-        assertTrue(!configuration.isUseHierarchicSoftmax());
-        assertEquals(configuration.getMinLearningRate(), 0.002, 1e-5f);
-        assertTrue(configuration.isUseUnknown());
-    }
-
-    @Test
-    public void testWordVectorsPartiallyAbsentLabels() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(10).useUnknown(true)
-                .iterations(1).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new CBOW()).epochs(1).windowSize(5)
-                .useHierarchicSoftmax(true).allowParallelTokenization(true)
-                .useUnknown(false)
-                .modelUtils(new FlatModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-        vec.fit();
-
-        ArrayList labels = new ArrayList<>();
-        labels.add("fewfew");
-        labels.add("day");
-        labels.add("night");
-        labels.add("week");
-
-        INDArray matrix = vec.getWordVectors(labels);
-        assertEquals(3, matrix.rows());
-        assertEquals(matrix.getRow(0, true), vec.getWordVectorMatrix("day"));
-        assertEquals(matrix.getRow(1, true), vec.getWordVectorMatrix("night"));
-        assertEquals(matrix.getRow(2, true), vec.getWordVectorMatrix("week"));
-    }
-
-
-    @Test
-    public void testWordVectorsAbsentLabels() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(10).useUnknown(true)
-                .iterations(1).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new CBOW()).epochs(1).windowSize(5)
-                .useHierarchicSoftmax(true).allowParallelTokenization(true)
-                .useUnknown(false)
-                .modelUtils(new FlatModelUtils()).iterate(iter).tokenizerFactory(t).build();
-
-        vec.fit();
-
-        ArrayList labels = new ArrayList<>();
-        labels.add("fewfew");
-
-        INDArray matrix = vec.getWordVectors(labels);
-        assertTrue(matrix.isEmpty());
-    }
-
-    @Test
-    public void testWordVectorsAbsentLabels_WithUnknown() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-        // Split on white spaces in the line to get words
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).iterations(1).batchSize(8192).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                //.negativeSample(10)
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(4)
-                .modelUtils(new BasicModelUtils()).iterate(iter).tokenizerFactory(t)
-                .useUnknown(true).unknownElement(new VocabWord(1, "UNKOWN")).build();
-
-        vec.fit();
-
-        ArrayList labels = new ArrayList<>();
-        labels.add("bus");
-        labels.add("car");
-
-        INDArray matrix = vec.getWordVectors(labels);
-        for (int i = 0; i < labels.size(); ++i)
-            assertEquals(matrix.getRow(i, true), vec.getWordVectorMatrix("UNKNOWN"));
-    }
-
-    @Test
-    public void weightsNotUpdated_WhenLocked() throws Exception {
-
-        boolean isIntegration = isIntegrationTests();
-        SentenceIterator iter;
-        SentenceIterator iter2;
-        if(isIntegration){
-            iter = new BasicLineIterator(inputFile);
-            iter2 = new BasicLineIterator(inputFile2.getAbsolutePath());
-        } else {
-            iter = new CollectionSentenceIterator(firstNLines(inputFile, 300));
-            iter2 = new CollectionSentenceIterator(firstNLines(inputFile2, 300));
-        }
-
-        Word2Vec vec1 = new Word2Vec.Builder().minWordFrequency(1).iterations(3).batchSize(64).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .iterate(iter)
-                .modelUtils(new BasicModelUtils()).build();
-
-        vec1.fit();
-
-        Word2Vec vec2 = new Word2Vec.Builder().minWordFrequency(1).iterations(3).batchSize(32).layerSize(100)
-                .stopWords(new ArrayList()).seed(32).learningRate(0.021).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new SkipGram())
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .iterate(iter2)
-                .intersectModel(vec1, true)
-                .modelUtils(new BasicModelUtils()).build();
-
-        vec2.fit();
-
-        assertEquals(vec1.getWordVectorMatrix("put"), vec2.getWordVectorMatrix("put"));
-        assertEquals(vec1.getWordVectorMatrix("part"), vec2.getWordVectorMatrix("part"));
-        assertEquals(vec1.getWordVectorMatrix("made"), vec2.getWordVectorMatrix("made"));
-        assertEquals(vec1.getWordVectorMatrix("money"), vec2.getWordVectorMatrix("money"));
-    }
-
-    @Test
-    public void weightsNotUpdated_WhenLocked_CBOW() throws Exception {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
-
-        Word2Vec vec1 = new Word2Vec.Builder().minWordFrequency(1).iterations(1).batchSize(8192).layerSize(100)
-                .stopWords(new ArrayList()).seed(42).learningRate(0.025).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new CBOW())
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .iterate(iter)
-                .modelUtils(new BasicModelUtils()).build();
-
-        vec1.fit();
-
-        log.info("Fit 1 finished");
-
-        iter = new BasicLineIterator(inputFile2.getAbsolutePath());
-        Word2Vec vec2 = new Word2Vec.Builder().minWordFrequency(1).iterations(1).batchSize(8192).layerSize(100)
-                .stopWords(new ArrayList()).seed(32).learningRate(0.021).minLearningRate(0.001)
-                .sampling(0).elementsLearningAlgorithm(new CBOW())
-                .epochs(1).windowSize(5).allowParallelTokenization(true)
-                .workers(1)
-                .iterate(iter)
-                .intersectModel(vec1, true)
-                .modelUtils(new BasicModelUtils()).build();
-
-        vec2.fit();
-
-        log.info("Fit 2 finished");
-
-        assertEquals(vec1.getWordVectorMatrix("put"), vec2.getWordVectorMatrix("put"));
-        assertEquals(vec1.getWordVectorMatrix("part"), vec2.getWordVectorMatrix("part"));
-        assertEquals(vec1.getWordVectorMatrix("made"), vec2.getWordVectorMatrix("made"));
-        assertEquals(vec1.getWordVectorMatrix("money"), vec2.getWordVectorMatrix("money"));
-    }
-
-    @Test
-    public void testWordsNearestSum() throws IOException {
-        String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
-        if(!isIntegrationTests() && "CUDA".equalsIgnoreCase(backend)) {
-            skipUnlessIntegrationTests(); //AB 2020/02/06 Skip CUDA except for integration tests due to very slow test speed - > 5 minutes on Titan X
-        }
-
-        log.info("Load & Vectorize Sentences....");
-        SentenceIterator iter = new BasicLineIterator(inputFile);
-        TokenizerFactory t = new DefaultTokenizerFactory();
-        t.setTokenPreProcessor(new CommonPreprocessor());
-
-        log.info("Building model....");
-        Word2Vec vec = new Word2Vec.Builder()
-                .minWordFrequency(5)
-                .iterations(1)
-                .layerSize(100)
-                .seed(42)
-                .windowSize(5)
-                .iterate(iter)
-                .tokenizerFactory(t)
-                .build();
-
-        log.info("Fitting Word2Vec model....");
-        vec.fit();
-        log.info("Writing word vectors to text file....");
-        log.info("Closest Words:");
-        Collection lst = vec.wordsNearestSum("day", 10);
-        log.info("10 Words closest to 'day': {}", lst);
-        assertTrue(lst.contains("week"));
-        assertTrue(lst.contains("night"));
-        assertTrue(lst.contains("year"));
-        assertTrue(lst.contains("years"));
-        assertTrue(lst.contains("time"));
-    }
-
-    private static void printWords(String target, Collection list, Word2Vec vec) {
-        System.out.println("Words close to [" + target + "]:");
-        for (String word : list) {
-            double sim = vec.similarity(target, word);
-            System.out.print("'" + word + "': [" + sim + "]");
-        }
-        System.out.print("\n");
-    }
-
-    public static List firstNLines(File f, int n){
-        List lines = new ArrayList<>();
-        try(InputStream is = new BufferedInputStream(new FileInputStream(f))){
-            LineIterator lineIter = IOUtils.lineIterator(is, StandardCharsets.UTF_8);
-            try{
-                for( int i=0; i()).useUnknown(true).windowSize(5).iterate(iter)
-                            .tokenizerFactory(t).build();
-            vec.fit();
-
-        }
-    }
-
-    @Test
-    public void testLabeledExample() throws Exception {
-
-        INDArray unk = vec.getWordVectorMatrix(Word2Vec.DEFAULT_UNK);
-        assertNotEquals(null, unk);
-
-        unk = vec.getWordVectorMatrix("2131241sdasdas");
-        assertNotEquals(null, unk);
-
-        ClassPathResource resource = new ClassPathResource("/labeled/");
-        File dir = testDir.newFolder();
-        resource.copyDirectory(dir);
-
-        Word2VecDataSetIterator iter = new Word2VecDataSetIterator(vec,
-                        new LabelAwareFileSentenceIterator(null, dir),
-                        Arrays.asList("negative", "positive", "neutral"));
-        DataSet next = iter.next();
-
-    }
-
-}
-
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/sentenceiterator/SentenceIteratorTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/sentenceiterator/SentenceIteratorTest.java
deleted file mode 100755
index 9f35f399f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/sentenceiterator/SentenceIteratorTest.java
+++ /dev/null
@@ -1,114 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.sentenceiterator;
-
-import org.apache.commons.io.FileUtils;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaSentenceIterator;
-import org.junit.After;
-import org.junit.Before;
-import org.junit.Rule;
-import org.junit.Test;
-import org.junit.rules.TemporaryFolder;
-
-import java.io.File;
-import java.util.Arrays;
-
-import static org.junit.Assert.*;
-
-/**
- * Created by agibsonccc on 9/9/14.
- */
-public class SentenceIteratorTest extends BaseDL4JTest {
-
-    @Rule
-    public TemporaryFolder testDir = new TemporaryFolder();
-    
-    public File testTxt;
-    public File testSingle;
-    public File testMulti;
-
-    @Before
-    public void before() throws Exception {
-        testSingle = testDir.newFolder();
-        testTxt = new File(testSingle, "test.txt");
-        FileUtils.writeLines(testTxt, Arrays.asList("Hello", "My", "Name"));
-
-
-        testMulti = testDir.newFolder();
-        for (int i = 0; i < 2; i++) {
-            File newTestFile = new File(testMulti, "testfile-" + i);
-            FileUtils.writeLines(newTestFile, Arrays.asList("Sentence 1.", "Sentence 2.", "Sentence 3."));
-
-        }
-
-    }
-
-
-    @Test
-    public void testUimaSentenceIterator() throws Exception {
-        SentenceIterator multiIter = UimaSentenceIterator.createWithPath(testMulti.getAbsolutePath());
-        SentenceIterator iter = UimaSentenceIterator.createWithPath(testSingle.getAbsolutePath());
-        testMulti(multiIter, 1);
-        testMulti(iter, 1);
-
-    }
-
-    @Test
-    public void testFileSentenceIterator() throws Exception {
-        SentenceIterator iter = new FileSentenceIterator(testSingle);
-        SentenceIterator multiIter = new FileSentenceIterator(testMulti);
-        testSingle(iter);
-        testMulti(multiIter, 3);
-
-    }
-
-
-
-    public void testSingle(SentenceIterator iter) {
-        assertTrue(iter.hasNext());
-
-        String sentence = iter.nextSentence();
-        assertTrue(iter.hasNext());
-        assertEquals("Hello", sentence);
-        assertEquals("My", iter.nextSentence());
-        assertEquals("Name", iter.nextSentence());
-        assertFalse(iter.hasNext());
-
-    }
-
-    public void testMulti(SentenceIterator iter, int expectedSentences) {
-        assertTrue(iter.hasNext());
-        for (int i = 0; i < expectedSentences * 2; i++) {
-            iter.nextSentence();
-        }
-
-        assertFalse(iter.hasNext());
-
-    }
-
-    @After
-    public void after() throws Exception {
-        File test = testSingle;
-        test.mkdir();
-        FileUtils.deleteQuietly(test);
-        FileUtils.deleteQuietly(testMulti);
-    }
-
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/sentenceiterator/UimaResultSetIteratorTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/sentenceiterator/UimaResultSetIteratorTest.java
deleted file mode 100644
index 0858bbfd3..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/sentenceiterator/UimaResultSetIteratorTest.java
+++ /dev/null
@@ -1,141 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.sentenceiterator;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nlp.uima.sentenceiterator.UimaResultSetIterator;
-import org.junit.Before;
-import org.junit.Test;
-
-import java.sql.ResultSet;
-
-import static org.junit.Assert.assertEquals;
-import static org.mockito.Mockito.mock;
-import static org.mockito.Mockito.when;
-
-/**
- * @author Brad Heap nzv8fan@gmail.com
- */
-public class UimaResultSetIteratorTest extends BaseDL4JTest {
-
-    @Before
-    public void setUp() throws Exception {
-
-    }
-
-    @Test
-    public void testSingleSentenceRow() throws Exception {
-
-        // Setup a mock ResultSet object
-        ResultSet resultSetMock = mock(ResultSet.class);
-
-        // when .next() is called, first time true, then false
-        when(resultSetMock.next()).thenReturn(true).thenReturn(false);
-        when(resultSetMock.getString("line")).thenReturn("The quick brown fox.");
-
-        UimaResultSetIterator iterator = new UimaResultSetIterator(resultSetMock, "line");
-
-        int cnt = 0;
-        while (iterator.hasNext()) {
-            String line = iterator.nextSentence();
-            cnt++;
-        }
-
-        assertEquals(1, cnt);
-
-    }
-
-    @Test
-    public void testMultipleSentenceRow() throws Exception {
-
-        // Setup a mock ResultSet object
-        ResultSet resultSetMock = mock(ResultSet.class);
-
-        // when .next() is called, first time true, then false
-        when(resultSetMock.next()).thenReturn(true).thenReturn(false);
-        when(resultSetMock.getString("line")).thenReturn("The quick brown fox. The lazy dog. Over a fence.");
-
-        UimaResultSetIterator iterator = new UimaResultSetIterator(resultSetMock, "line");
-
-        int cnt = 0;
-        while (iterator.hasNext()) {
-            String line = iterator.nextSentence();
-            cnt++;
-        }
-
-        assertEquals(3, cnt);
-
-    }
-
-    @Test
-    public void testMultipleSentencesAndMultipleRows() throws Exception {
-
-        // Setup a mock ResultSet object
-        ResultSet resultSetMock = mock(ResultSet.class);
-
-        // when .next() is called, first time true, then false
-        when(resultSetMock.next()).thenReturn(true).thenReturn(true).thenReturn(false);
-        when(resultSetMock.getString("line")).thenReturn("The quick brown fox.")
-                        .thenReturn("The lazy dog. Over a fence.");
-
-        UimaResultSetIterator iterator = new UimaResultSetIterator(resultSetMock, "line");
-
-        int cnt = 0;
-        while (iterator.hasNext()) {
-            String line = iterator.nextSentence();
-            cnt++;
-        }
-
-        assertEquals(3, cnt);
-
-    }
-
-    @Test
-    public void testMultipleSentencesAndMultipleRowsAndReset() throws Exception {
-
-        // Setup a mock ResultSet object
-        ResultSet resultSetMock = mock(ResultSet.class);
-
-        // when .next() is called, first time true, then false
-        when(resultSetMock.next()).thenReturn(true).thenReturn(true).thenReturn(false).thenReturn(true).thenReturn(true)
-                        .thenReturn(false);
-        when(resultSetMock.getString("line")).thenReturn("The quick brown fox.")
-                        .thenReturn("The lazy dog. Over a fence.").thenReturn("The quick brown fox.")
-                        .thenReturn("The lazy dog. Over a fence.");
-
-        UimaResultSetIterator iterator = new UimaResultSetIterator(resultSetMock, "line");
-
-        int cnt = 0;
-        while (iterator.hasNext()) {
-            String line = iterator.nextSentence();
-            cnt++;
-        }
-
-        assertEquals(3, cnt);
-
-        iterator.reset();
-
-        cnt = 0;
-        while (iterator.hasNext()) {
-            String line = iterator.nextSentence();
-            cnt++;
-        }
-
-        assertEquals(3, cnt);
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StemmingPreprocessorTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StemmingPreprocessorTest.java
deleted file mode 100644
index 36b298e98..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StemmingPreprocessorTest.java
+++ /dev/null
@@ -1,41 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizer.preprocessor.StemmingPreprocessor;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * @author raver119@gmail.com
- */
-public class StemmingPreprocessorTest extends BaseDL4JTest {
-
-    @Test
-    public void testPreProcess() throws Exception {
-        StemmingPreprocessor preprocessor = new StemmingPreprocessor();
-
-        String test = "TESTING.";
-
-        String output = preprocessor.preProcess(test);
-
-        System.out.println("Output: " + output);
-        assertEquals("test", output);
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/tokenization/tokenizerfactory/PosUimaTokenizerFactoryTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/tokenization/tokenizerfactory/PosUimaTokenizerFactoryTest.java
deleted file mode 100644
index 53ea149e4..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/tokenization/tokenizerfactory/PosUimaTokenizerFactoryTest.java
+++ /dev/null
@@ -1,66 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.tokenization.tokenizerfactory;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizerfactory.PosUimaTokenizerFactory;
-import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
-import org.junit.Assert;
-import org.junit.Before;
-import org.junit.Test;
-
-import java.util.Arrays;
-import java.util.List;
-
-
-/**
- * @author raver119@gmail.com
- */
-public class PosUimaTokenizerFactoryTest extends BaseDL4JTest {
-
-    @Before
-    public void setUp() throws Exception {
-
-    }
-
-    @Test
-    public void testCreate1() throws Exception {
-        String[] posTags = new String[] {"NN"};
-        PosUimaTokenizerFactory factory = new PosUimaTokenizerFactory(Arrays.asList(posTags));
-        Tokenizer tokenizer = factory.create("some test string");
-        List tokens = tokenizer.getTokens();
-        System.out.println("Tokens: " + tokens);
-
-        Assert.assertEquals(3, tokens.size());
-        Assert.assertEquals("NONE", tokens.get(0));
-        Assert.assertEquals("test", tokens.get(1));
-        Assert.assertEquals("string", tokens.get(2));
-    }
-
-    @Test
-    public void testCreate2() throws Exception {
-        String[] posTags = new String[] {"NN"};
-        PosUimaTokenizerFactory factory = new PosUimaTokenizerFactory(Arrays.asList(posTags), true);
-        Tokenizer tokenizer = factory.create("some test string");
-        List tokens = tokenizer.getTokens();
-        System.out.println("Tokens: " + tokens);
-
-        Assert.assertEquals(2, tokens.size());
-        Assert.assertEquals("test", tokens.get(0));
-        Assert.assertEquals("string", tokens.get(1));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/treeparser/TreeParserTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/treeparser/TreeParserTest.java
deleted file mode 100755
index 5f6fe585f..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/treeparser/TreeParserTest.java
+++ /dev/null
@@ -1,65 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.treeparser;
-
-import org.cleartk.syntax.constituent.type.TreebankNode;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-import org.deeplearning4j.nlp.uima.corpora.treeparser.TreeParser;
-import org.junit.Before;
-import org.junit.Test;
-
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * Basic Tree parser tests
- * @author  Adam Gibson
- */
-public class TreeParserTest extends BaseDL4JTest {
-    private TreeParser parser;
-
-    @Before
-    public void init() throws Exception {
-        parser = new TreeParser();
-    }
-
-
-    @Test
-    public void testNumTrees() throws Exception {
-        List trees = parser.getTrees("This is one sentence. This is another sentence.");
-        assertEquals(2, trees.size());
-
-    }
-
-
-    @Test
-    public void testHierarchy() throws Exception {
-        List trees = parser.getTrees("This is one sentence. This is another sentence.");
-        List treebankTrees = parser.getTreebankTrees("This is one sentence. This is another sentence.");
-        assertEquals(treebankTrees.size(), trees.size());
-
-        for (int i = 0; i < treebankTrees.size(); i++) {
-            Tree t = trees.get(i);
-            TreebankNode t2 = treebankTrees.get(i);
-            assertEquals(t.children().size(), t2.getChildren().size());
-        }
-
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/treeparser/TreeTransformerTests.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/treeparser/TreeTransformerTests.java
deleted file mode 100755
index ad4b73065..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/text/treeparser/TreeTransformerTests.java
+++ /dev/null
@@ -1,86 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.text.treeparser;
-
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
-import org.deeplearning4j.nlp.uima.corpora.treeparser.BinarizeTreeTransformer;
-import org.deeplearning4j.nlp.uima.corpora.treeparser.CollapseUnaries;
-import org.deeplearning4j.nlp.uima.corpora.treeparser.TreeParser;
-import org.deeplearning4j.nlp.uima.corpora.treeparser.transformer.TreeTransformer;
-import org.junit.Before;
-import org.junit.Test;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * Created by agibsonccc on 7/1/14.
- */
-public class TreeTransformerTests extends BaseDL4JTest {
-
-    private static final Logger log = LoggerFactory.getLogger(TreeTransformerTests.class);
-    private TreeParser parser;
-
-    @Before
-    public void init() throws Exception {
-        parser = new TreeParser();
-    }
-
-
-
-    @Test
-    public void testBinarize() throws Exception {
-        List trees = parser.getTrees("Is so sad for my apl friend. i missed the new moon trailer.");
-        TreeTransformer t = new BinarizeTreeTransformer();
-        TreeTransformer cnf = new CollapseUnaries();
-        for (Tree t2 : trees) {
-            t2 = t.transform(t2);
-            assertChildSize(t2);
-            for (Tree child : t2.children())
-                if (child.isLeaf())
-                    assertEquals("Found leaf node with parent that was not a preterminal", true, t2.isPreTerminal());
-            t2 = cnf.transform(t2);
-            assertCollapsedUnaries(t2);
-        }
-    }
-
-
-    private void assertCollapsedUnaries(Tree tree) {
-        for (Tree child : tree.children())
-            assertCollapsedUnaries(child);
-        if (tree.children().size() == 1 && !tree.isPreTerminal())
-            throw new IllegalStateException("Trees with size of 1 and non preterminals should have been collapsed");
-    }
-
-    private void assertChildSize(Tree tree) {
-        for (Tree child : tree.children()) {
-            assertChildSize(child);
-        }
-
-        assertEquals("Tree is not valid " + tree + " tree children size was " + tree.children().size(), true,
-                        tree.isLeaf() || tree.isPreTerminal() || tree.children().size() <= 2);
-
-
-    }
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/util/ContextLabelTest.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/util/ContextLabelTest.java
deleted file mode 100755
index bcbd7a97e..000000000
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-uima/src/test/java/org/deeplearning4j/util/ContextLabelTest.java
+++ /dev/null
@@ -1,63 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.util;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.text.movingwindow.ContextLabelRetriever;
-import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
-import org.deeplearning4j.nlp.uima.tokenization.tokenizerfactory.UimaTokenizerFactory;
-import org.junit.Before;
-import org.junit.Test;
-import org.nd4j.common.collection.MultiDimensionalMap;
-import org.nd4j.common.primitives.Pair;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * Basic test case for the context label test
- */
-public class ContextLabelTest extends BaseDL4JTest {
-    private static final Logger log = LoggerFactory.getLogger(ContextLabelTest.class);
-    private TokenizerFactory tokenizerFactory;
-
-    @Before
-    public void init() throws Exception {
-        if (tokenizerFactory == null) {
-            tokenizerFactory = new UimaTokenizerFactory(false);
-        }
-    }
-
-    @Test
-    public void testBasicLabel() {
-        String labeledSentence = " This sucks really bad  .";
-        Pair> ret =
-                        ContextLabelRetriever.stringWithLabels(labeledSentence, tokenizerFactory);
-        //positive and none
-        assertEquals(2, ret.getSecond().size());
-        List vals = new ArrayList<>(ret.getSecond().values());
-        assertEquals(true, vals.contains("NEGATIVE"));
-        assertEquals(true, vals.contains("none"));
-        assertEquals("This sucks really bad .", ret.getFirst());
-    }
-
-
-}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/pom.xml b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/pom.xml
index 6595a3a1e..47d1a6432 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/pom.xml
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/pom.xml
@@ -1,22 +1,30 @@
-
+
+
+
+
 
-
     4.0.0
+
     
         org.deeplearning4j
         deeplearning4j-nlp-parent
@@ -25,43 +33,41 @@
 
     deeplearning4j-nlp
 
+    
+        0.4
+    
+
     
         
             org.nd4j
             nd4j-native-api
             ${nd4j.version}
         
-
         
             commons-lang
             commons-lang
-            2.6
+            ${commons-lang.version}
         
         
             org.deeplearning4j
             deeplearning4j-core
             ${project.version}
         
-
         
             org.threadly
             threadly
             ${threadly.version}
         
-
         
             junit
             junit
-            test
         
-
         
             org.mockito
             mockito-core
             ${mockito.version}
             test
         
-
         
             ch.qos.logback
             logback-classic
@@ -75,14 +81,7 @@
         
             com.github.vinhkhuc
             jfasttext
-            0.4
-        
-
-        
-            org.deeplearning4j
-            deeplearning4j-common-tests
-            ${project.version}
-            test
+            ${jfasttext.version}
         
     
 
@@ -94,5 +93,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BagOfWordsVectorizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BagOfWordsVectorizer.java
index 85953777d..0928ee429 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BagOfWordsVectorizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BagOfWordsVectorizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.bagofwords.vectorizer;
 
@@ -42,9 +46,6 @@ import java.util.ArrayList;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class BagOfWordsVectorizer extends BaseTextVectorizer {
 
     protected BagOfWordsVectorizer() {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BaseTextVectorizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BaseTextVectorizer.java
index 58159b333..e6bf80085 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BaseTextVectorizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/BaseTextVectorizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.bagofwords.vectorizer;
 
@@ -32,9 +36,6 @@ import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
 import java.util.ArrayList;
 import java.util.Collection;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BaseTextVectorizer implements TextVectorizer {
     @Setter
     protected transient TokenizerFactory tokenizerFactory;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/DefaultInputStreamCreator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/DefaultInputStreamCreator.java
index 295383a6c..b05583f49 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/DefaultInputStreamCreator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/DefaultInputStreamCreator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.bagofwords.vectorizer;
 
@@ -21,9 +25,6 @@ import org.deeplearning4j.text.documentiterator.DocumentIterator;
 
 import java.io.InputStream;
 
-/**
- * Created by agibsonccc on 10/20/14.
- */
 public class DefaultInputStreamCreator implements InputStreamCreator {
     private DocumentIterator iter;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TextVectorizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TextVectorizer.java
index 6d67e47ce..8a371de40 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TextVectorizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TextVectorizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.bagofwords.vectorizer;
 
@@ -27,10 +31,6 @@ import java.io.File;
 import java.io.InputStream;
 import java.util.List;
 
-/**
- * Vectorizes text
- * @author Adam Gibson
- */
 public interface TextVectorizer extends Vectorizer {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TfidfVectorizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TfidfVectorizer.java
index a78366fca..b74e6b953 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TfidfVectorizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/bagofwords/vectorizer/TfidfVectorizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.bagofwords.vectorizer;
 
@@ -44,9 +48,6 @@ import java.io.InputStreamReader;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class TfidfVectorizer extends BaseTextVectorizer {
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/BertIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/BertIterator.java
index e7fbdafe7..a004236e6 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/BertIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/BertIterator.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator;
 
@@ -41,92 +44,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 
-/**
- * BertIterator is a MultiDataSetIterator for training BERT (Transformer) models in the following way:

- * (a) Unsupervised - Masked language model task (no sentence matching task is implemented thus far)

- * (b) Supervised - For sequence classification (i.e., 1 label per sequence, typically used for fine tuning)

- * The task can be specified using {@link Task}.
- * 

- * Example for unsupervised training:

- * 
- * {@code
- *          BertWordPieceTokenizerFactory t = new BertWordPieceTokenizerFactory(pathToVocab);
- *          BertIterator b = BertIterator.builder()
- *              .tokenizer(t)
- *              .lengthHandling(BertIterator.LengthHandling.FIXED_LENGTH, 16)
- *              .minibatchSize(2)
- *              .sentenceProvider()
- *              .featureArrays(BertIterator.FeatureArrays.INDICES_MASK)
- *              .vocabMap(t.getVocab())
- *              .task(BertIterator.Task.UNSUPERVISED)
- *              .masker(new BertMaskedLMMasker(new Random(12345), 0.2, 0.5, 0.5))
- *              .unsupervisedLabelFormat(BertIterator.UnsupervisedLabelFormat.RANK2_IDX)
- *              .maskToken("[MASK]")
- *              .build();
- * }
- * 

- * 

- * Example for supervised (sequence classification - one label per sequence) training:

- * 
- * {@code
- *          BertWordPieceTokenizerFactory t = new BertWordPieceTokenizerFactory(pathToVocab);
- *          BertIterator b = BertIterator.builder()
- *              .tokenizer(t)
- *              .lengthHandling(BertIterator.LengthHandling.FIXED_LENGTH, 16)
- *              .minibatchSize(2)
- *              .sentenceProvider(new TestSentenceProvider())
- *              .featureArrays(BertIterator.FeatureArrays.INDICES_MASK)
- *              .vocabMap(t.getVocab())
- *              .task(BertIterator.Task.SEQ_CLASSIFICATION)
- *              .build();
- * }
- * 

- * 

- * Example to use an instantiated iterator for inference:

- * 
- * {@code
- *          BertIterator b;
- *          Pair featuresAndMask;
- *          INDArray[] features;
- *          INDArray[] featureMasks;
- *
- *          //With sentences
- *          List forInference;
- *          featuresAndMask = b.featurizeSentences(forInference);
- *
- *          //OR with sentence pairs
- *          List> forInferencePair};
- *          featuresAndMask = b.featurizeSentencePairs(forInference);
- *
- *          features = featuresAndMask.getFirst();
- *          featureMasks = featuresAndMask.getSecond();
- * }
- * 

- * This iterator supports numerous ways of configuring the behaviour with respect to the sequence lengths and data layout.

- * 

- * {@link LengthHandling} configuration:

- * Determines how to handle variable-length sequence situations.

- * FIXED_LENGTH: Always trim longer sequences to the specified length, and always pad shorter sequences to the specified length.

- * ANY_LENGTH: Output length is determined by the length of the longest sequence in the minibatch. Shorter sequences within the
- * minibatch are zero padded and masked.

- * CLIP_ONLY: For any sequences longer than the specified maximum, clip them. If the maximum sequence length in
- * a minibatch is shorter than the specified maximum, no padding will occur. For sequences that are shorter than the
- * maximum (within the current minibatch) they will be zero padded and masked.

- * 


- * {@link FeatureArrays} configuration:

- * Determines what arrays should be included.

- * INDICES_MASK: Indices array and mask array only, no segment ID array. Returns 1 feature array, 1 feature mask array (plus labels).

- * INDICES_MASK_SEGMENTID: Indices array, mask array and segment ID array (which is all 0s for single segment tasks). Returns
- * 2 feature arrays (indices, segment ID) and 1 feature mask array (plus labels)

- * 

- * {@link UnsupervisedLabelFormat} configuration:

- * Only relevant when the task is set to {@link Task#UNSUPERVISED}. Determine the format of the labels:

- * RANK2_IDX: return int32 [minibatch, numTokens] array with entries being class numbers. Example use case: with sparse softmax loss functions.

- * RANK3_NCL: return float32 [minibatch, numClasses, numTokens] array with 1-hot entries along dimension 1. Example use case: RnnOutputLayer, RnnLossLayer

- * RANK3_LNC: return float32 [numTokens, minibatch, numClasses] array with 1-hot entries along dimension 2. This format is occasionally
- * used for some RNN layers in libraries such as TensorFlow, for example

- * 

- */
 public class BertIterator implements MultiDataSetIterator {
 
     public enum Task {UNSUPERVISED, SEQ_CLASSIFICATION}
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/CnnSentenceDataSetIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/CnnSentenceDataSetIterator.java
index 0905370cf..fd5fafe94 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/CnnSentenceDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/CnnSentenceDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator;
 
@@ -39,26 +43,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- * A DataSetIterator that provides data for training a CNN sentence classification models (though can of course
- * be used for general documents, not just sentences. The iterator handles conversion of sentences to training data for
- * CNNs, where each word is encoded using the word vector from the specified WordVectors (i.e., word2vec etc) model.

- * Labels are encoded using a one-hot representation and are 2d - i.e., are intended to be used with a model that
- * utilizes global pooling.

- * 

- * Specifically:

- * - Features have shape [minibatchSize, 1, maxSentenceLength, wordVectorSize] OR [minibatchSize, 1, wordVectorSize, maxSentenceLength]
- *   depending on the configuration (for sentencesAlongHeight = true/false respectively)

- * - Labels are a 2d array with shape [minibatchSize, numLabels].

- *
- * Sentences and labels are provided by a {@link LabeledSentenceProvider} - different implementations of this provide different
- * ways of loading sentences/documents with labels - for example, from files, etc.
- * 

- * Note: With regard to labels to class index assignment, they are sorted alphabetically. To get the assigment/mapping,
- * use {@link #getLabels()} or {@link #getLabelClassMap()}
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class CnnSentenceDataSetIterator implements DataSetIterator {
     public enum UnknownWordHandling {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledPairSentenceProvider.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledPairSentenceProvider.java
index 9517c5f6c..0e4916a99 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledPairSentenceProvider.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledPairSentenceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator;
 
@@ -20,9 +24,6 @@ import org.nd4j.common.primitives.Triple;
 
 import java.util.List;
 
-/**
- * LabeledPairSentenceProvider: a simple iterator interface over a pair of sentences/documents that have a label.

- */
 public interface LabeledPairSentenceProvider {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledSentenceProvider.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledSentenceProvider.java
index b16619c2f..2bae18a38 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledSentenceProvider.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/LabeledSentenceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator;
 
@@ -20,14 +24,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- *
- * LabeledSentenceProvider: a simple iterator interface over sentences/documents that have a label.

- *
- * This is intended for use with {@link CnnSentenceDataSetIterator}
- *
- * @author Alex Black
- */
 public interface LabeledSentenceProvider {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertMaskedLMMasker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertMaskedLMMasker.java
index 682039253..221be381f 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertMaskedLMMasker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertMaskedLMMasker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator.bert;
 
@@ -23,17 +27,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Random;
 
-/**
- * A standard/default {@link BertSequenceMasker}. Implements masking as per the BERT paper:
- * https://arxiv.org/abs/1810.04805
- * That is, each token is chosen to be masked independently with some probability "maskProb".
- * For tokens that are masked, 3 possibilities:

- * 1. They are replaced with the mask token (such as "[MASK]") in the input, with probability "maskTokenProb"

- * 2. They are replaced with a random word from the vocabulary, with probability "randomTokenProb"

- * 3. They are are left unmodified with probability 1.0 - maskTokenProb - randomTokenProb

- *
- * @author Alex Black
- */
 public class BertMaskedLMMasker implements BertSequenceMasker {
     public static final double DEFAULT_MASK_PROB = 0.15;
     public static final double DEFAULT_MASK_TOKEN_PROB = 0.8;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertSequenceMasker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertSequenceMasker.java
index b3c7bf65f..4c269dd8d 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertSequenceMasker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/bert/BertSequenceMasker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator.bert;
 
@@ -20,12 +24,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- * Interface used to customize how masking should be performed with {@link org.deeplearning4j.iterator.BertIterator}
- * when doing unsupervised training
- *
- * @author Alex Black
- */
 public interface BertSequenceMasker {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledPairSentenceProvider.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledPairSentenceProvider.java
index c70ebeab5..68adaa291 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledPairSentenceProvider.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledPairSentenceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator.provider;
 
@@ -24,11 +28,6 @@ import org.nd4j.common.util.MathUtils;
 
 import java.util.*;
 
-/**
- * Iterate over a pair of sentences/documents,
- * where the sentences and labels are provided in lists.
- *
- */
 public class CollectionLabeledPairSentenceProvider implements LabeledPairSentenceProvider {
 
     private final List sentenceL;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledSentenceProvider.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledSentenceProvider.java
index 216f521a9..30bd7fb04 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledSentenceProvider.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/CollectionLabeledSentenceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator.provider;
 
@@ -24,12 +28,6 @@ import org.nd4j.common.util.MathUtils;
 
 import java.util.*;
 
-/**
- * Iterate over a set of sentences/documents,
- * where the sentences and labels are provided in lists.
- *
- * @author Alex Black
- */
 public class CollectionLabeledSentenceProvider implements LabeledSentenceProvider {
 
     private final List sentences;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/FileLabeledSentenceProvider.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/FileLabeledSentenceProvider.java
index 000ba7a57..70183f35d 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/FileLabeledSentenceProvider.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/FileLabeledSentenceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator.provider;
 
@@ -27,11 +31,6 @@ import java.io.File;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * Iterate over a set of sentences/documents, where the sentences are to be loaded (as required) from the provided files.
- *
- * @author Alex Black
- */
 public class FileLabeledSentenceProvider implements LabeledSentenceProvider {
 
     private final int totalCount;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/LabelAwareConverter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/LabelAwareConverter.java
index 689a88f46..9c0aa2018 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/LabelAwareConverter.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/iterator/provider/LabelAwareConverter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.iterator.provider;
 
@@ -24,12 +28,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- * Simple class for conversion between LabelAwareIterator -> LabeledSentenceProvider for neural nets.
- * Since we already have converters for all other classes - this single converter allows us to accept all possible iterators
- *
- * @author raver119@gmail.com
- */
 public class LabelAwareConverter implements LabeledSentenceProvider {
     private LabelAwareIterator backingIterator;
     private List labels;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/WeightLookupTable.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/WeightLookupTable.java
index 880a80f00..cdb3894cb 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/WeightLookupTable.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/WeightLookupTable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/inmemory/InMemoryLookupTable.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/inmemory/InMemoryLookupTable.java
index 0ca08ad98..0c7a6708a 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/inmemory/InMemoryLookupTable.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/inmemory/InMemoryLookupTable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.inmemory;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/ElementsLearningAlgorithm.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/ElementsLearningAlgorithm.java
index f856fc6ea..4a502e20e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/ElementsLearningAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/ElementsLearningAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning;
 
@@ -26,11 +30,6 @@ import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Implementations of this interface should contain element-related learning algorithms. Like skip-gram or cbow
- *
- * @author raver119@gmail.com
- */
 public interface ElementsLearningAlgorithm {
 
     String getCodeName();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/SequenceLearningAlgorithm.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/SequenceLearningAlgorithm.java
index f250d14d1..c26c8dee0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/SequenceLearningAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/SequenceLearningAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Implementations of this interface should contain sequence-related learning algorithms. Like dbow or dm.
- *
- * @author raver119@gmail.com
- */
 public interface SequenceLearningAlgorithm {
 
     String getCodeName();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchItem.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchItem.java
index e1819157e..590e02e88 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchItem.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchItem.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning.impl.elements;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java
index 5be52af18..93c10bd5e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning.impl.elements;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java
index fdfd91926..80c5357ad 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning.impl.elements;
 
@@ -43,11 +47,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * CBOW implementation for DeepLearning4j
- *
- * @author raver119@gmail.com
- */
 public class CBOW implements ElementsLearningAlgorithm {
     private VocabCache vocabCache;
     private WeightLookupTable lookupTable;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java
index c7e117a1c..4fe3320a7 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning.impl.elements;
 
@@ -44,11 +48,6 @@ import java.util.concurrent.atomic.AtomicLong;
 
 import static org.datavec.api.transform.ColumnType.NDArray;
 
-/**
- * Skip-Gram implementation for dl4j SequenceVectors
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SkipGram implements ElementsLearningAlgorithm {
     protected VocabCache vocabCache;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DBOW.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DBOW.java
index 807175d85..2ca3e4c0d 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DBOW.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DBOW.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning.impl.sequence;
 
@@ -37,9 +41,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class DBOW implements SequenceLearningAlgorithm {
     protected VocabCache vocabCache;
     protected WeightLookupTable lookupTable;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DM.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DM.java
index 5ec5c460f..42ad78579 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DM.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/sequence/DM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.learning.impl.sequence;
 
@@ -37,11 +41,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * DM implementation for DeepLearning4j
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DM implements SequenceLearningAlgorithm {
     private VocabCache vocabCache;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/VectorsConfiguration.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/VectorsConfiguration.java
index 484c70500..0dd6c28dc 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/VectorsConfiguration.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/VectorsConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.loader;
 
@@ -28,13 +32,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Collection;
 
-/**
- *
- * This is simple bean/POJO for Word2Vec persistence handling.
- * It holds whole w2v model configuration info, except of TokenizerFactory and SentenceIterator, since they are not intended for serialization, and specified at run-time.
- *
- *  @author raver119@gmail.com
- */
 @Data
 public class VectorsConfiguration implements Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/WordVectorSerializer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/WordVectorSerializer.java
index 4a946256e..250321f85 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/WordVectorSerializer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/loader/WordVectorSerializer.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.loader;
 
@@ -102,87 +105,6 @@ import java.util.zip.ZipFile;
 import java.util.zip.ZipInputStream;
 import java.util.zip.ZipOutputStream;
 
-/**
- * This is utility class, providing various methods for WordVectors serialization
- *
- * List of available serialization methods (please keep this list consistent with source code):
- *
- * 
    
- * 
  • Serializers for Word2Vec:
    • 
- * {@link #writeWordVectors(WeightLookupTable, File)}
- * {@link #writeWordVectors(WeightLookupTable, OutputStream)}
- * {@link #writeWord2VecModel(Word2Vec, File)}
- * {@link #writeWord2VecModel(Word2Vec, String)}
- * {@link #writeWord2VecModel(Word2Vec, OutputStream)}
- *
- * 
  • Deserializers for Word2Vec:
    • 
- * {@link #readWord2VecModel(String)}
- * {@link #readWord2VecModel(String, boolean)}
- * {@link #readWord2VecModel(File)}
- * {@link #readWord2VecModel(File, boolean)}
- * {@link #readAsBinaryNoLineBreaks(File)}
- * {@link #readAsBinaryNoLineBreaks(InputStream)}
- * {@link #readAsBinary(File)}
- * {@link #readAsBinary(InputStream)}
- * {@link #readAsCsv(File)}
- * {@link #readAsCsv(InputStream)}
- * {@link #readBinaryModel(InputStream, boolean, boolean)}
- * {@link #readWord2VecFromText(File, File, File, File, VectorsConfiguration)}
- * {@link #readWord2Vec(String, boolean)}
- * {@link #readWord2Vec(File, boolean)}
- * {@link #readWord2Vec(InputStream, boolean)}
- *
- * 
  • Serializers for ParaVec:
    • 
- * {@link #writeParagraphVectors(ParagraphVectors, File)}
- * {@link #writeParagraphVectors(ParagraphVectors, String)}
- * {@link #writeParagraphVectors(ParagraphVectors, OutputStream)}
- *
- * 
  • Deserializers for ParaVec:
    • 
- * {@link #readParagraphVectors(File)}
- * {@link #readParagraphVectors(String)}
- * {@link #readParagraphVectors(InputStream)}
- *
- *
- * 
  • Adapters
    • 
- * {@link #fromTableAndVocab(WeightLookupTable, VocabCache)}
- * {@link #fromPair(Pair)}
- * {@link #loadTxt(File)}
- * {@link #loadTxt(InputStream)}
- *
- * 
  • Serializers to tSNE format
    • 
- * {@link #writeTsneFormat(Word2Vec, INDArray, File)}
- *
- * 
  • FastText serializer:
    • 
- * {@link #writeWordVectors(FastText, File)}
- *
- * 
  • FastText deserializer:
    • 
- * {@link #readWordVectors(File)}
- *
- * 
  • SequenceVectors serializers:
    • 
- * {@link #writeSequenceVectors(SequenceVectors, OutputStream)}
- * {@link #writeSequenceVectors(SequenceVectors, SequenceElementFactory, File)}
- * {@link #writeSequenceVectors(SequenceVectors, SequenceElementFactory, String)}
- * {@link #writeSequenceVectors(SequenceVectors, SequenceElementFactory, OutputStream)}
- * {@link #writeLookupTable(WeightLookupTable, File)}
- * {@link #writeVocabCache(VocabCache, File)}
- * {@link #writeVocabCache(VocabCache, OutputStream)}
- *
- * 
  • SequenceVectors deserializers:
    • 
- * {@link #readSequenceVectors(File, boolean)}
- * {@link #readSequenceVectors(String, boolean)}
- * {@link #readSequenceVectors(SequenceElementFactory, File)}
- * {@link #readSequenceVectors(InputStream, boolean)}
- * {@link #readSequenceVectors(SequenceElementFactory, InputStream)}
- * {@link #readLookupTable(File)}
- * {@link #readLookupTable(InputStream)}
- *
- * 

- *
- * @author Adam Gibson
- * @author raver119
- * @author alexander@skymind.io
- * @author Alexei KLENIN
- */
 @Slf4j
 public class WordVectorSerializer {
     private static final int MAX_SIZE = 50;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/ModelUtils.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/ModelUtils.java
index db483563c..c8ce67908 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/ModelUtils.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/ModelUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.reader;
 
@@ -24,11 +28,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Instances implementing this interface should be responsible for utility access to SequenceVectors model
- *
- * @author raver119@gmail.com
- */
 public interface ModelUtils {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/BasicModelUtils.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/BasicModelUtils.java
index 08801319a..d4a05b242 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/BasicModelUtils.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/BasicModelUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.reader.impl;
 
@@ -35,13 +39,6 @@ import org.nd4j.common.util.SetUtils;
 
 import java.util.*;
 
-/**
- * Basic implementation for ModelUtils interface, suited for standalone use.
- *
- * PLEASE NOTE: This reader applies normalization to underlying lookup table.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class BasicModelUtils implements ModelUtils {
     public static final String EXISTS = "exists";
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/FlatModelUtils.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/FlatModelUtils.java
index 83c1e823b..4725042e9 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/FlatModelUtils.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/FlatModelUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.reader.impl;
 
@@ -25,13 +29,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.Collection;
 
-/**
- * This model reader is suited for model tests, and for cases where flat scan against elements is required.
- *
- * PLEASE NOTE: This reader does NOT normalize underlying weights, it stays intact
- *
- * @author raver119@gmail.com
- */
 public class FlatModelUtils extends BasicModelUtils {
     private static final Logger log = LoggerFactory.getLogger(FlatModelUtils.class);
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/TreeModelUtils.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/TreeModelUtils.java
index efdd4b385..8f47cff02 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/TreeModelUtils.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/reader/impl/TreeModelUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.reader.impl;
 
@@ -27,12 +31,6 @@ import org.nd4j.common.util.SetUtils;
 
 import java.util.*;
 
-/**
- * This is VPTree-based implementation for wordsNearest method, suited for multiple consequent calls.
- * Please note: VPTree will take some memory, dependant on your model size.
- *
- * @author raver119@gmail.com
- */
 public class TreeModelUtils extends BasicModelUtils {
     protected VPTree vpTree;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectors.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectors.java
index a9f8c4fd4..c93d14f2d 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectors.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectors.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.wordvectors;
 
@@ -27,12 +31,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Word vectors. Handles operations based on the lookup table
- * and vocab.
- *
- * @author Adam Gibson
- */
 public interface WordVectors extends Serializable, EmbeddingInitializer {
 
     String getUNK();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectorsImpl.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectorsImpl.java
index 14d625020..9af125e54 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectorsImpl.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/wordvectors/WordVectorsImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.embeddings.wordvectors;
 
@@ -37,10 +41,6 @@ import org.nd4j.linalg.heartbeat.utils.EnvironmentUtils;
 
 import java.util.*;
 
-/**
- * Common word vector operations
- * @author Adam Gibson
- */
 public class WordVectorsImpl implements WordVectors {
     private static final long serialVersionUID = 78249242142L;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTLossFunctions.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTLossFunctions.java
index fca042af7..84347a6b5 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTLossFunctions.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTLossFunctions.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.models.fasttext;
 
 public enum FTLossFunctions {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTModels.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTModels.java
index 401c2217a..42d873f60 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTModels.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTModels.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.models.fasttext;
 
 public enum FTModels {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTOptions.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTOptions.java
index af311092b..7ee235377 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTOptions.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FTOptions.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.models.fasttext;
 
 public enum FTOptions {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FastText.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FastText.java
index 71f4809eb..6e753860f 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FastText.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/fasttext/FastText.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.models.fasttext;
 
 import com.github.jfasttext.JFastText;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/node2vec/Node2Vec.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/node2vec/Node2Vec.java
index 61ef44f1a..f5777ebb0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/node2vec/Node2Vec.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/node2vec/Node2Vec.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.node2vec;
 
@@ -38,13 +42,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * This is implementation for Node2Vec/DeepWalk for DeepLearning4J
- *
- * PLEASE NOTE: This class is under construction and isn't suited for any use.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class Node2Vec extends SequenceVectors {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/paragraphvectors/ParagraphVectors.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/paragraphvectors/ParagraphVectors.java
index e27debd50..8ba2b12f2 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/paragraphvectors/ParagraphVectors.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/paragraphvectors/ParagraphVectors.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.paragraphvectors;
 
@@ -66,11 +70,6 @@ import java.util.*;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Basic ParagraphVectors (aka Doc2Vec) implementation for DL4j, as wrapper over SequenceVectors
- *
- * @author raver119@gmail.com
- */
 public class ParagraphVectors extends Word2Vec {
     private static final long serialVersionUID = 78249242142L;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/Consumer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/Consumer.java
index b3c40ad29..1f8361793 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/Consumer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/Consumer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/PCService.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/PCService.java
index cfefbd849..6825f8f5e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/PCService.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/PCService.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/SequenceVectors.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/SequenceVectors.java
index 33b77f658..ccd4f376c 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/SequenceVectors.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/SequenceVectors.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors;
 
@@ -65,12 +69,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * SequenceVectors implements abstract features extraction for Sequences and SequenceElements, using SkipGram, CBOW or DBOW (for Sequence features extraction).
- *
- *
- * @author raver119@gmail.com
- */
 public class SequenceVectors extends WordVectorsImpl implements WordVectors {
     private static final long serialVersionUID = 78249242142L;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/enums/ListenerEvent.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/enums/ListenerEvent.java
index 575b6726a..9842225fa 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/enums/ListenerEvent.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/enums/ListenerEvent.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.enums;
 
-/**
- * This enum defines possible events, when specific VectorsListener will be fired
- *
- * @author raver119@gmail.com
- */
 public enum ListenerEvent {
     EPOCH, ITERATION, LINE,
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/NoEdgeHandling.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/NoEdgeHandling.java
index cf8979a86..a0c0d4042 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/NoEdgeHandling.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/NoEdgeHandling.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.enums;
 
-/**
- * This enum describes different behaviors for cases when GraphWalker don't have next hop within current walk.
- *
- * @author raver119@gmail.com
- */
 public enum NoEdgeHandling {
     SELF_LOOP_ON_DISCONNECTED, EXCEPTION_ON_DISCONNECTED, PADDING_ON_DISCONNECTED, CUTOFF_ON_DISCONNECTED, RESTART_ON_DISCONNECTED,
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/PopularityMode.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/PopularityMode.java
index 4fc825797..46c8e0f84 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/PopularityMode.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/PopularityMode.java
@@ -1,29 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.enums;
 
-/**
- * This enum is used in PopularityWalker, and it defines which nodes will be considered for next hop.
- * MAXIMUM: top-popularity nodes will be considered.
- * AVERAGE: nodes in the middle of possible selections will be considered.
- * MINIMUM: low-popularity nodes will be considered.
- *
- * @author raver119@gmail.com
- */
 public enum PopularityMode {
     MAXIMUM, AVERAGE, MINIMUM,
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SamplingMode.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SamplingMode.java
index 638e7b8c6..ab29925e4 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SamplingMode.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SamplingMode.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum SamplingMode {
     MAX_POPULARITY, MIN_POPULARITY, MEDIAN_POPULARITY, RANDOM,
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SpreadSpectrum.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SpreadSpectrum.java
index b948ff8d5..5c77b5223 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SpreadSpectrum.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/SpreadSpectrum.java
@@ -1,28 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.enums;
 
-/**
- * This enum describes nodes selection for PopularityWalker.
- * PLAIN: all nodes within initial spread have equal chances to be picked.
- * PROPORTIONAL: each node will have chance to be picked equal to it's popularity proportion within spread.
- *
- * @author raver119@gmail.com
- */
 public enum SpreadSpectrum {
     PLAIN, PROPORTIONAL,
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkDirection.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkDirection.java
index b30203ec0..d76cd857f 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkDirection.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkDirection.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.enums;
 
-/**
- * This enum describes walker behavior when choosing next hop.
- *
- * @author raver119@gmail.com
- */
 public enum WalkDirection {
     FORWARD_ONLY, FORWARD_PREFERRED, FORWARD_UNIQUE, RANDOM
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkMode.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkMode.java
index aef75b91b..b7fc64ea8 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkMode.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/enums/WalkMode.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.enums;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public enum WalkMode {
     RANDOM, WEIGHTED, POPULARITY, NEAREST,
 }
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/NoEdgesException.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/NoEdgesException.java
index f61701095..fa9464e12 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/NoEdgesException.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/NoEdgesException.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.exception;
 
-/**Unchecked exception, thrown to signify that an operation (usually on a vertex) cannot be completed
- * because there are no edges for that vertex.
- */
 public class NoEdgesException extends RuntimeException {
 
     public NoEdgesException() {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/ParseException.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/ParseException.java
index 07fd38308..435640ba0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/ParseException.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/exception/ParseException.java
@@ -1,22 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.exception;
 
-/** Unchecked exception signifying that an error occurred during parsing of text */
 public class ParseException extends RuntimeException {
     public ParseException() {
         super();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/BinaryTree.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/BinaryTree.java
index ee7e37eb5..c4d3dc80b 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/BinaryTree.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/BinaryTree.java
@@ -1,22 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.huffman;
 
-/** Binary tree interface, used in DeepWalk */
 public interface BinaryTree {
 
     long getCode(int element);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/GraphHuffman.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/GraphHuffman.java
index d39f8e24f..7eaea0f30 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/GraphHuffman.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/huffman/GraphHuffman.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.huffman;
 
@@ -23,11 +27,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.PriorityQueue;
 
-/**An implementation of a Huffman tree specifically for graphs.
- * Vertices in graph are indexed by an integer, 0 to nVertices-1
- *
- * @author Alex Black
- */
 public class GraphHuffman implements BinaryTree {
     private final int MAX_CODE_LENGTH;
     private final long[] codes;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Edge.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Edge.java
index b15a4e00d..825e097ff 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Edge.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Edge.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.primitives;
 
 import lombok.Data;
 
-/** Edge in a graph. May be a directed or undirected edge.

- * Parameterized, and may store a value/object associated with the edge
- */
 @Data
 public class Edge {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Graph.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Graph.java
index 1e022af72..cc2388d5e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Graph.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Graph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.primitives;
 
@@ -23,19 +27,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import java.lang.reflect.Array;
 import java.util.*;
 
-/** Graph, where all edges and vertices are stored in-memory.

- * Internally, this is a directed graph with adjacency list representation; however, if undirected edges
- * are added, these edges are duplicated internally to allow for fast lookup.

- * Depending on the value of {@code allowMultipleEdges}, this graph implementation may or may not allow
- * multiple edges between any two adjacent nodes. If multiple edges are required (such that two or more distinct edges
- * between vertices X and Y exist simultaneously) then {@code allowMultipleEdges} should be set to {@code true}.

- * As per {@link IGraph}, this graph representation can have arbitrary objects attached

- * Vertices are initialized either directly via list, or via a {@link VertexFactory}. Edges are added using one of the
- * addEdge methods.
- * @param  Type parameter for vertices (type of objects attached to each vertex)
- * @param  Type parameter for edges (type of objects attached to each edge)
- * @author Alex Black
- */
 public class Graph implements IGraph {
     private boolean allowMultipleEdges;
     private List>[] edges; //edge[i].get(j).to = k, then edge from i -> k
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/IGraph.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/IGraph.java
index 943751f91..29f8e3e08 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/IGraph.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/IGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.primitives;
 
@@ -23,15 +27,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import java.util.List;
 import java.util.Random;
 
-/** Interface for a IGraph, with objects for each vertex and edge.
- * In the simplest case, edges and vertices may be labelled (i.e., IGraph for example), or may be
- * any arbitrary object (or, null).

- * IGraph may include directed edges, undirected edges, or a combination of both

- * Note: Every vertex in the graph has an integer index, in range of 0 to numVertices() inclusive

- * @param  type for vertex objects
- * @param  type for edge objects
- * @author Alex Black
- */
 public interface IGraph {
 
     /** Number of vertices in the graph */
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Vertex.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Vertex.java
index 07ce78a6c..522527450 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Vertex.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/primitives/Vertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.primitives;
 
@@ -21,10 +25,6 @@ import lombok.Getter;
 import lombok.Setter;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/** Vertex in a graph
- *
- * @param  the type of the value/object associated with the vertex
- */
 @AllArgsConstructor
 public class Vertex {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/AbstractVertexFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/AbstractVertexFactory.java
index 072f88f5a..b072066ec 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/AbstractVertexFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/AbstractVertexFactory.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.vertex;
 
 import org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * VertexFactory implementation
- *
- * @author raver119@gmail.com
- */
 public class AbstractVertexFactory implements VertexFactory {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/VertexFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/VertexFactory.java
index c2228e2a2..4fd160bf9 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/VertexFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/vertex/VertexFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.vertex;
 
@@ -20,11 +24,6 @@ package org.deeplearning4j.models.sequencevectors.graph.vertex;
 import org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * Vertex factory, used to create nodes from an integer index (0 to nVertices-1 inclusive)
- *
- * @author AlexDBlack
- */
 public interface VertexFactory {
 
     Vertex create(int vertexIdx);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/GraphWalker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/GraphWalker.java
index 3ad9adaae..c116eec33 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/GraphWalker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/GraphWalker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.walkers;
 
@@ -20,11 +24,6 @@ import org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph;
 import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * This interface describes methods needed for various DeepWalk-related implementations
- *
- * @author raver119@gmail.com
- */
 public interface GraphWalker {
 
     IGraph getSourceGraph();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/NearestVertexWalker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/NearestVertexWalker.java
index ef771a560..e6f245d47 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/NearestVertexWalker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/NearestVertexWalker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.walkers.impl;
 
@@ -31,14 +35,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This walker represents connections of a given node + their neighborhoods up to certain depth.
- * Basically it's the same idea as context for a given node.
- *
- * So this walker produces Sequences, with label defined. And label - is element itself.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class NearestVertexWalker implements GraphWalker {
     @Getter
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/PopularityWalker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/PopularityWalker.java
index 05d69e94c..433805d90 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/PopularityWalker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/PopularityWalker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.walkers.impl;
 
@@ -37,14 +41,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.*;
 
-/**
- * This is vertex popularity-based walker for SequenceVectors-based DeepWalk implementation.
- * Instead of rand walks, this walker produces walks based on number of edges coming into each node.
- * This allows you to build walks filtering too rare nodes, or too popular nodes, depending on your demands.
- *
- * Original DeepWalk paper: https://arxiv.org/pdf/1403.6652v2
- * @author raver119@gmail.com
- */
 public class PopularityWalker extends RandomWalker implements GraphWalker {
     protected PopularityMode popularityMode = PopularityMode.MAXIMUM;
     protected int spread = 10;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/RandomWalker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/RandomWalker.java
index a033a4a81..6725b11f9 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/RandomWalker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/RandomWalker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.walkers.impl;
 
@@ -34,16 +38,6 @@ import java.util.Arrays;
 import java.util.Random;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This is Random-based walker for SequenceVectors-based DeepWalk implementation
- *
- * Original DeepWalk paper: https://arxiv.org/pdf/1403.6652v2
- *
- * @author AlexDBlack
- * @author raver119@gmail.com
- *
- * Based on Alex Black RandomWalkIterator implementation
- */
 public class RandomWalker implements GraphWalker {
     protected int walkLength = 5;
     protected NoEdgeHandling noEdgeHandling = NoEdgeHandling.EXCEPTION_ON_DISCONNECTED;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/WeightedWalker.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/WeightedWalker.java
index 025d1dd93..1b6a88c4e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/WeightedWalker.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/graph/walkers/impl/WeightedWalker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.graph.walkers.impl;
 
@@ -30,14 +34,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import java.util.List;
 import java.util.Random;
 
-/**
- * This is vertex weight-based walker for SequenceVectors-based DeepWalk implementation.
- * Instead of random walks, this walker produces walks based on weight of the edges.
- *
- * @author AlexDBlack
- * @author raver119@gmail.com
- * Based on Alex Black WeightedWalkIterator implementation
- */
 public class WeightedWalker extends RandomWalker implements GraphWalker {
 
     protected WeightedWalker() {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceElementFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceElementFactory.java
index 9b28848d0..abcb1de95 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceElementFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceElementFactory.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.interfaces;
 
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * This is interface for JSON -> SequenceElement serialization/deserialziation
- *
- * @author raver119@gmail.com
- */
 public interface SequenceElementFactory {
     /**
      * This method builds object from provided JSON
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceIterator.java
index 70b1e1496..7f0e7c9cb 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/SequenceIterator.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.interfaces;
 
 import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * SequenceIterator is basic interface for learning abstract data that can be represented as sequence of some elements.
- *
- * @author raver119@gmail.com
- */
 public interface SequenceIterator {
 
     boolean hasMoreSequences();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/VectorsListener.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/VectorsListener.java
index 1aea72609..95ee50d71 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/VectorsListener.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/interfaces/VectorsListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.interfaces;
 
@@ -20,11 +24,6 @@ import org.deeplearning4j.models.sequencevectors.SequenceVectors;
 import org.deeplearning4j.models.sequencevectors.enums.ListenerEvent;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * This interface describes Listeners to SequenceVectors and its derivatives.
- *
- * @author raver119@gmail.com
- */
 public interface VectorsListener {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/AbstractSequenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/AbstractSequenceIterator.java
index 081e7a56e..ad93ca7aa 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/AbstractSequenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/AbstractSequenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.iterators;
 
@@ -24,11 +28,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import java.util.Iterator;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This is basic generic SequenceIterator implementation
- *
- * @author raver119@gmail.com
- */
 public class AbstractSequenceIterator implements SequenceIterator {
 
     private Iterable> underlyingIterable;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/FilteredSequenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/FilteredSequenceIterator.java
index 29fe362da..9c26edfab 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/FilteredSequenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/FilteredSequenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.iterators;
 
@@ -22,12 +26,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
 
-/**
- * This implementation of SequenceIterator passes each sequence through specified vocabulary, filtering out SequenceElements that are not available in Vocabulary.
- * Please note: nextSequence() method can return empty sequence, if none of elements were found in attached vocabulary.
- *
- * @author raver119@gmail.com
- */
 public class FilteredSequenceIterator implements SequenceIterator {
 
     private final SequenceIterator underlyingIterator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/SynchronizedSequenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/SynchronizedSequenceIterator.java
index 7add62d7c..9793f491e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/SynchronizedSequenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/iterators/SynchronizedSequenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.iterators;
 
@@ -21,12 +25,6 @@ import org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator;
 import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * Synchronized version of AbstractSeuqenceIterator, implemented on top of it.
- * Suitable for cases with non-strict multithreading environment, since it's just synchronized wrapper
- *
- * @author raver119@gmail.com
- */
 public class SynchronizedSequenceIterator implements SequenceIterator {
     protected SequenceIterator underlyingIterator;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/ScoreListener.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/ScoreListener.java
index f5839ef26..29b2340cc 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/ScoreListener.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/ScoreListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.listeners;
 
@@ -26,13 +30,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Simple VectorsListener implementation that prints out model score.
- *
- * PLEASE NOTE: THIS IS PLACEHOLDER FOR FUTURE IMPLEMENTATION
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class ScoreListener implements VectorsListener {
     protected static final Logger logger = LoggerFactory.getLogger(ScoreListener.class);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SerializingListener.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SerializingListener.java
index c02129bcb..d6b711ce2 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SerializingListener.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SerializingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.listeners;
 
@@ -29,12 +33,6 @@ import java.text.SimpleDateFormat;
 import java.util.Date;
 import java.util.concurrent.Semaphore;
 
-/**
- *
- * This is example VectorsListener implementation. It can be used to serialize models in the middle of training process
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SerializingListener implements VectorsListener {
     private File targetFolder = new File("./");
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SimilarityListener.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SimilarityListener.java
index 03173f4af..7b19c52ff 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SimilarityListener.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/listeners/SimilarityListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.listeners;
 
@@ -25,11 +29,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Simple listener, to monitor similarity between selected elements during training
- *
- * @author raver119@gmail.com
- */
 public class SimilarityListener implements VectorsListener {
     protected static final Logger logger = LoggerFactory.getLogger(SimilarityListener.class);
     private final ListenerEvent targetEvent;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/Sequence.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/Sequence.java
index a840a5a5b..71de077b1 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/Sequence.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/Sequence.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.sequence;
 
@@ -23,11 +27,6 @@ import lombok.Setter;
 import java.io.Serializable;
 import java.util.*;
 
-/**
- * Sequence for SequenceVectors is defined as limited set of SequenceElements. It can also contain label, if you're going to learn Sequence features as well.
- *
- * @author raver119@gmail.com
- */
 public class Sequence implements Serializable {
 
     private static final long serialVersionUID = 2223750736522624735L;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/SequenceElement.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/SequenceElement.java
index 99263f6bc..46ae3fbc3 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/SequenceElement.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/SequenceElement.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.sequence;
 
@@ -34,12 +38,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- *  SequenceElement is basic building block for SequenceVectors. Any data sequence can be represented as ordered set of SequenceElements,
- *  and then one can learn distributed representation of each SequenceElement in this sequence using CBOW or SkipGram.
- *
- * @author raver119@gmail.com
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @JsonSubTypes({
         @JsonSubTypes.Type(value = VocabWord.class, name = "vocabWord")
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/ShallowSequenceElement.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/ShallowSequenceElement.java
index f66b6cab2..43ada48b9 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/ShallowSequenceElement.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/sequence/ShallowSequenceElement.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.sequence;
 
-/**
- * This is special shallow SequenceElement implementation, that doesn't hold labels or any other custom user-defined data
- *
- * @author raver119@gmail.com
- */
 public class ShallowSequenceElement extends SequenceElement {
 
     public ShallowSequenceElement(double frequency, long id) {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/AbstractElementFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/AbstractElementFactory.java
index 7a7414589..497b712b0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/AbstractElementFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/AbstractElementFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.serialization;
 
@@ -25,12 +29,6 @@ import org.slf4j.LoggerFactory;
 
 import java.io.IOException;
 
-/**
- * This is universal serialization/deserialization factor for SequenceVectors serialization.
- * It will work for any <T extends SequenceElement> that doesn't breaks simple POJO rules.
- *
- * @author raver119@gmail.com
- */
 public class AbstractElementFactory implements SequenceElementFactory {
     private final Class targetClass;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/VocabWordFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/VocabWordFactory.java
index 78e15dd89..ca816be84 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/VocabWordFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/serialization/VocabWordFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.serialization;
 
@@ -23,9 +27,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 
 import java.io.IOException;
 
-/**
- * @author raver119@gmail.com
- */
 public class VocabWordFactory implements SequenceElementFactory {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/SequenceTransformer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/SequenceTransformer.java
index 645586573..66c71ba52 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/SequenceTransformer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/SequenceTransformer.java
@@ -1,28 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.transformers;
 
 import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public interface SequenceTransformer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/GraphTransformer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/GraphTransformer.java
index 616ba3ba5..8e83448d8 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/GraphTransformer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/GraphTransformer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.transformers.impl;
 
@@ -30,12 +34,6 @@ import org.slf4j.LoggerFactory;
 import java.util.Iterator;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- *
- * This class is used to build vocabulary and sequences out of graph, via GraphWalkers
- *
- * @author raver119@gmail.com
- */
 public class GraphTransformer implements Iterable> {
     protected IGraph sourceGraph;
     protected GraphWalker walker;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java
index 160e0bc9f..60396553b 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.transformers.impl;
 
@@ -36,11 +40,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This simple class is responsible for conversion lines of text to Sequences of SequenceElements to fit them into SequenceVectors model
- *
- * @author raver119@gmail.com
- */
 public class SentenceTransformer implements SequenceTransformer, Iterable> {
     /*
             So, we must accept any SentenceIterator implementations, and build vocab out of it, and use it for further transforms between text and Sequences
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/BasicTransformerIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/BasicTransformerIterator.java
index 75d775831..8b0acfe33 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/BasicTransformerIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/BasicTransformerIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.transformers.impl.iterables;
 
@@ -26,9 +30,6 @@ import org.deeplearning4j.text.documentiterator.LabelledDocument;
 
 import java.util.Iterator;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class BasicTransformerIterator implements Iterator> {
     protected final LabelAwareIterator iterator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java
index 01c0bb9e7..d68fc6095 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.sequencevectors.transformers.impl.iterables;
 
@@ -32,14 +36,6 @@ import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * TransformerIterator implementation that's does transformation/tokenization/normalization/whatever in parallel threads.
- * Suitable for cases when tokenization takes too much time for single thread.
- *
- * TL/DR: we read data from sentence iterator, and apply tokenization in parallel threads.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ParallelTransformerIterator extends BasicTransformerIterator {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Huffman.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Huffman.java
index 8f97c776f..53a0b34f1 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Huffman.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Huffman.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/InputStreamCreator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/InputStreamCreator.java
index e2417c163..49d7adfb6 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/InputStreamCreator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/InputStreamCreator.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
 import java.io.InputStream;
 import java.io.Serializable;
 
-/**
- * Created by agibsonccc on 10/19/14.
- */
 public interface InputStreamCreator extends Serializable {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StaticWord2Vec.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StaticWord2Vec.java
index e5821e515..10c71e58b 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StaticWord2Vec.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StaticWord2Vec.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
@@ -32,13 +36,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * This is special limited Word2Vec implementation, suited for serving as lookup table in concurrent multi-gpu environment
- * This implementation DOES NOT load all vectors onto any of gpus, instead of that it holds vectors in, optionally, compressed state in host memory.
- * This implementation DOES NOT provide some of original Word2Vec methods, such as wordsNearest or wordsNearestSum.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class StaticWord2Vec implements WordVectors {
     private List> cacheWrtDevice = new ArrayList<>();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StreamWork.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StreamWork.java
index e866c2744..8ab9a7071 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StreamWork.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/StreamWork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWord.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWord.java
index 158d83e9c..921318d21 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWord.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWord.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWork.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWork.java
index f1925548f..ee8ed1ca2 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWork.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/VocabWork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
@@ -21,12 +25,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Vocab work meant for use with the vocab actor
- *
- *
- * @author Adam Gibson
- */
 public class VocabWork implements Serializable {
 
     private AtomicInteger count = new AtomicInteger(0);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Word2Vec.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Word2Vec.java
index f2b1111b8..834c24f80 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Word2Vec.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/Word2Vec.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec;
 
@@ -47,11 +51,6 @@ import org.nd4j.shade.jackson.databind.type.CollectionType;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * This is Word2Vec implementation based on SequenceVectors
- *
- * @author raver119@gmail.com
- */
 public class Word2Vec extends SequenceVectors {
     private static final long serialVersionUID = 78249242142L;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataFetcher.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataFetcher.java
index 4879d1977..71bd91a75 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataSetIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataSetIterator.java
index 45ab6b083..d06f92e7b 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/iterator/Word2VecDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.iterator;
 
@@ -36,12 +40,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.CopyOnWriteArrayList;
 
-/**
- * Iterates over a sentence with moving window to produce a data applyTransformToDestination
- * for word windows based on a pretrained word2vec.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class Word2VecDataSetIterator implements DataSetIterator {
     private Word2Vec vec;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/HuffmanNode.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/HuffmanNode.java
index b87e0b2e4..671cd904d 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/HuffmanNode.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/HuffmanNode.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore;
 
 import lombok.Data;
 import lombok.NonNull;
 
-/**
- * Huffman tree node info, needed for w2v calculations.
- * Used only in StandaloneWord2Vec internals.
- *
- * @author raver119@gmail.com
- */
 @Data
 public class HuffmanNode {
     @NonNull
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabCache.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabCache.java
index 95859842b..39b61f7ea 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabCache.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore;
 
@@ -23,11 +27,6 @@ import java.io.Serializable;
 import java.util.Collection;
 
 
-/**
- * A VocabCache handles the storage of information needed for the word2vec look up table.
- *
- * @author Adam Gibson
- */
 public interface VocabCache extends Serializable {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabConstructor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabConstructor.java
index fca1288d0..9c3417878 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabConstructor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabConstructor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore;
 
@@ -37,16 +41,6 @@ import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- *
- * This class can be used to build joint vocabulary from special sources, that should be treated separately.
- * I.e. words from one source should have minWordFrequency set to 1, while the rest of corpus should have minWordFrequency set to 5.
- * So, here's the way to deal with it.
- *
- * It also can be used to simply build vocabulary out of arbitrary number of Sequences derived from arbitrary number of SequenceIterators
- *
- * @author raver119@gmail.com
- */
 public class VocabConstructor {
     private List> sources = new ArrayList<>();
     private VocabCache cache;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyHolder.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyHolder.java
index 1f636d5e6..668305d1c 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyHolder.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore;
 
@@ -31,12 +35,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This class is used as simplified VocabCache for vocabulary building routines.
- * As soon as vocab is built, all words will be transferred into VocabCache.
- *
- * @author raver119@gmail.com
- */
 public class VocabularyHolder implements Serializable {
     private final Map vocabulary = new ConcurrentHashMap<>();
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyWord.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyWord.java
index 1eb8c01f6..70019f125 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyWord.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/VocabularyWord.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore;
 
@@ -26,13 +30,6 @@ import org.nd4j.shade.jackson.databind.SerializationFeature;
 import java.io.IOException;
 import java.io.Serializable;
 
-/**
- * Simplified version of VocabWord.
- * Used only for w2v vocab building routines
- *
- * @author raver119@gmail.com
- */
-
 @Data
 public class VocabularyWord implements Serializable {
     @NonNull
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCache.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCache.java
index 3c00ff5d8..0e8709e93 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCache.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore.inmemory;
 
@@ -37,13 +41,6 @@ import java.util.concurrent.ConcurrentMap;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- *
- * This is generic VocabCache implementation designed as abstract SequenceElements vocabulary
- *
- * @author raver119@gmail.com
- * @author alexander@skymind.io
- */
 @Slf4j
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE,
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/InMemoryLookupCache.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/InMemoryLookupCache.java
index d5c4b35fa..349c827fb 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/InMemoryLookupCache.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/InMemoryLookupCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.models.word2vec.wordstore.inmemory;
 
@@ -31,13 +35,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * In memory lookup cache for smaller datasets
- *
- * PLEASE NOTE: Consider using AbstractCache instead.
- *
- * @author Adam Gibson
- */
 @Deprecated
 public class InMemoryLookupCache implements VocabCache, Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/AsyncLabelAwareIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/AsyncLabelAwareIterator.java
index 19068ff5f..d5d354d98 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/AsyncLabelAwareIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/AsyncLabelAwareIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -23,9 +27,6 @@ import org.deeplearning4j.core.parallelism.AsyncIterator;
 import java.util.Iterator;
 import java.util.NoSuchElementException;
 
-/**
- * @author raver119@gmail.com
- */
 public class AsyncLabelAwareIterator implements LabelAwareIterator, Iterator {
 
     protected LabelAwareIterator backedIterator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/BasicLabelAwareIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/BasicLabelAwareIterator.java
index a529407d5..7f3f306ee 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/BasicLabelAwareIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/BasicLabelAwareIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -24,12 +28,6 @@ import org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIte
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This is simple class, for building Sentence-Label pairs for ParagraphVectors/Doc2Vec.
- * Idea is simple - you provide SentenceIterator or DocumentIterator, and it builds nice structure for future model reuse
- *
- * @author raver119@gmail.com
- */
 public class BasicLabelAwareIterator implements LabelAwareIterator {
     // this counter is used for dumb labels generation
     protected AtomicLong documentPosition = new AtomicLong(0);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/DocumentIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/DocumentIterator.java
index 5ac6d9090..79b4c63d8 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/DocumentIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/DocumentIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -20,11 +24,6 @@ import java.io.InputStream;
 import java.io.Serializable;
 
 
-/**
- * Document Iterator: iterate over input streams
- * @author Adam Gibson
- *
- */
 public interface DocumentIterator extends Serializable {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileDocumentIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileDocumentIterator.java
index 0eff0731a..990f5e629 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileDocumentIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileDocumentIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileLabelAwareIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileLabelAwareIterator.java
index e580212a8..da41ddc28 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileLabelAwareIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FileLabelAwareIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -25,16 +29,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This is simple filesystem-based LabelAware iterator.
- * It assumes that you have one or more folders organized in the following way:
- * 1st level subfolder: label name
- * 2nd level: bunch of documents for that label
- *
- * You can have as many label folders as you want, as well.
- *
- * @author raver119@gmail.com
- */
 public class FileLabelAwareIterator implements LabelAwareIterator {
     protected List files;
     protected AtomicInteger position = new AtomicInteger(0);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FilenamesLabelAwareIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FilenamesLabelAwareIterator.java
index b9b2b84d9..98eba8752 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FilenamesLabelAwareIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/FilenamesLabelAwareIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -25,13 +29,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- *
- * This LabelAwareIterator scans folder for files, and returns them as LabelledDocuments.
- * Each LabelledDocument will set it's Label to file name.
- *
- * @author raver119@gmail.com
- */
 public class FilenamesLabelAwareIterator implements LabelAwareIterator {
     protected List files;
     protected AtomicInteger position = new AtomicInteger(0);
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareDocumentIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareDocumentIterator.java
index 8a13de286..158efb7f4 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareDocumentIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareDocumentIterator.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
-/**
- * Created by agibsonccc on 10/18/14.
- */
 public interface LabelAwareDocumentIterator extends DocumentIterator {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIterator.java
index d0dce5871..80fe1cfbc 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIterator.java
@@ -1,33 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
 import java.util.Iterator;
 
-/**
- * This simple iterator interface assumes, that all documents are packed into strings OR into references to VocabWords.
- * Basic idea is: for tasks like ParagraphVectors we need unified interface for reading Sentences (read: lines of text) or Documents (read: set of lines) with label support.
- *
- * There's 2 interoperbility implementations of this interfaces: SentenceIteratorConverter and DocumentIteratorConverter.
- * After conversion is done, they can be wrapped by BasicLabelAwareIterator, that accepts all 5 current interfaces (including this one) as source for labelled documents.
- * This way 100% backward compatibility is provided, as well as additional functionality is delivered via LabelsSource.
- *
- * @author raver119@gmail.com
- */
 public interface LabelAwareIterator extends Iterator {
 
     boolean hasNextDocument();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIteratorWrapper.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIteratorWrapper.java
index 22db35a94..82d2b41c0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIteratorWrapper.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelAwareIteratorWrapper.java
@@ -1,12 +1,27 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.text.documentiterator;
 
 import java.util.List;
 
-/**
- * LabelAwareIterator wrapper which populates a LabelsSource while iterating.
- *
- * @author Benjamin Possolo
- */
 public class LabelAwareIteratorWrapper implements LabelAwareIterator {
 
   private final LabelAwareIterator delegate;
@@ -37,6 +52,11 @@ public class LabelAwareIteratorWrapper implements LabelAwareIterator {
     return nextDocument();
   }
 
+  @Override
+  public void remove() {
+
+  }
+
   @Override
   public LabelledDocument nextDocument() {
     LabelledDocument doc = delegate.nextDocument();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelledDocument.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelledDocument.java
index ec583b1bf..4bb0d7198 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelledDocument.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelledDocument.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.models.word2vec.VocabWord;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * This is primitive holder of document, and it's label.
- *
- * @author raver119@gmail.com
- */
 @Data
 @ToString(exclude = "referencedContent")
 public class LabelledDocument {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelsSource.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelsSource.java
index 444c5610c..8088eadc0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelsSource.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/LabelsSource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -27,11 +31,6 @@ import java.util.Set;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This class is used to manage labels/documents syncronization over iterators
- *
- * @author raver119@gmail.com
- */
 public class LabelsSource implements Serializable {
     private AtomicLong counter = new AtomicLong(0);
     @Setter
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/SimpleLabelAwareIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/SimpleLabelAwareIterator.java
index 816035164..683178503 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/SimpleLabelAwareIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/SimpleLabelAwareIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator;
 
@@ -20,15 +24,6 @@ import lombok.NonNull;
 
 import java.util.Iterator;
 
-/**
- * This class provide option to build LabelAwareIterator from Iterable or Iterator objects
- *
- * PLEASE NOTE: This iterator is meant to be used with externally-originated data via Java Iterable/Iterator interface.
- * It IS possible to use Collection/List object here, but it's NOT recommended, since huge List with data might cause significant
- * performance penalty due to JVM Garbage Collection mechanics.
- *
- * @author raver119@gmail.com
- */
 public class SimpleLabelAwareIterator implements LabelAwareIterator {
     protected transient Iterable underlyingIterable;
     protected transient Iterator currentIterator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/interoperability/DocumentIteratorConverter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/interoperability/DocumentIteratorConverter.java
index 5a25e01b0..d93b18228 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/interoperability/DocumentIteratorConverter.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/documentiterator/interoperability/DocumentIteratorConverter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.documentiterator.interoperability;
 
@@ -24,11 +28,6 @@ import java.io.IOException;
 import java.io.InputStream;
 import java.io.InputStreamReader;
 
-/**
- * Simple class providing compatibility between DocumentIterator/LabelAwareDocumentIterator and LabelAwareIterator
- *
- * @author raver119@gmail.com
- */
 public class DocumentIteratorConverter implements LabelAwareIterator {
 
     protected DocumentIterator backendIterator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/inputsanitation/InputHomogenization.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/inputsanitation/InputHomogenization.java
index 2bb0bb97d..edbf9d0d6 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/inputsanitation/InputHomogenization.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/inputsanitation/InputHomogenization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.inputsanitation;
 
@@ -20,12 +24,6 @@ import java.text.Normalizer;
 import java.text.Normalizer.Form;
 import java.util.List;
 
-/**
- * Performs some very basic textual transformations 
- * such as word shape, lower casing, and stripping of punctuation
- * @author Adam Gibson
- *
- */
 public class InputHomogenization {
     private String input;
     private List ignoreCharactersContaining;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/invertedindex/InvertedIndex.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/invertedindex/InvertedIndex.java
index 3b5b9d796..f89acaa95 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/invertedindex/InvertedIndex.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/invertedindex/InvertedIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.invertedindex;
 
@@ -26,10 +30,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.concurrent.Executor;
 
-/**
- * An inverted index for mapping words to documents
- * and documents to words
- */
 public interface InvertedIndex extends Serializable {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/labels/LabelsProvider.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/labels/LabelsProvider.java
index 84e4f667c..a80cdbeb1 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/labels/LabelsProvider.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/labels/LabelsProvider.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.labels;
 
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * @author raver119@gmail.com
- */
 public interface LabelsProvider {
 
     T nextLabel();
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/ContextLabelRetriever.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/ContextLabelRetriever.java
index a5d716fd6..4c5ea7506 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/ContextLabelRetriever.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/ContextLabelRetriever.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.movingwindow;
 
@@ -26,10 +30,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Context Label Retriever
- * @author Adam Gibson
- */
 public class ContextLabelRetriever {
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Util.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Util.java
index 29d617f2d..20adbc1df 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Util.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Util.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.movingwindow;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Window.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Window.java
index bfb7332b1..89244c7ba 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Window.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Window.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.movingwindow;
 
@@ -24,12 +28,6 @@ import java.util.Collection;
 import java.util.List;
 
 
-/**
- * A representation of a sliding window.
- * This is used for creating training examples.
- * @author Adam Gibson
- *
- */
 public class Window implements Serializable {
     /**
      * 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WindowConverter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WindowConverter.java
index c6341bcd1..bb6740c3b 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WindowConverter.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WindowConverter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.movingwindow;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 import java.util.List;
 
 
-/**
- * Util methods for converting windows to 
- * training examples
- * @author Adam Gibson    
- *
- */
 @Slf4j
 public class WindowConverter {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Windows.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Windows.java
index 7ac4a56bd..59af8f5f3 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Windows.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/Windows.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.movingwindow;
 
@@ -29,10 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.StringTokenizer;
 
-/**
- * Static utility class for textual based windowing cooccurrences
- * @author Adam Gibson
- */
 @Slf4j
 public class Windows {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WordConverter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WordConverter.java
index 6d0644781..5860dbf76 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WordConverter.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/movingwindow/WordConverter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.movingwindow;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/AggregatingSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/AggregatingSentenceIterator.java
index b94deb1bf..d140452dd 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/AggregatingSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/AggregatingSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
@@ -23,11 +27,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This is simple wrapper suited for aggregation of few SentenceIterators into single flow.
- *
- * @author raver119@gmail.com
- */
 public class AggregatingSentenceIterator implements SentenceIterator {
     private List backendIterators;
     private SentencePreProcessor preProcessor;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BaseSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BaseSentenceIterator.java
index bfca3ace6..d2149b583 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BaseSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BaseSentenceIterator.java
@@ -1,29 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
-/**
- * Creates a baseline default.
- * This includes the sentence pre processor
- * and a no op finish for iterators
- * with no i/o streams or other finishing steps.
- * @author Adam Gibson
- *
- */
 public abstract class BaseSentenceIterator implements SentenceIterator {
 
     protected SentencePreProcessor preProcessor;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicLineIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicLineIterator.java
index 1a1b61778..3da5acfd4 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicLineIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicLineIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
@@ -22,14 +26,6 @@ import lombok.extern.slf4j.Slf4j;
 import java.io.*;
 import java.util.Iterator;
 
-/**
- * Primitive single-line iterator, without any options involved.
- * Can be used over InputStream or File.
- *
- * Please note: for reset functionality, mark/reset should be supported by underlying InputStream.
- *
- * @author raver119@gmail.com
-  */
 @Slf4j
 public class BasicLineIterator implements SentenceIterator, Iterable {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicResultSetIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicResultSetIterator.java
index 8d97a2867..0be1cf537 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicResultSetIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/BasicResultSetIterator.java
@@ -1,34 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
 import java.sql.ResultSet;
 import java.sql.SQLException;
 
-/**
- * Primitive iterator over a SQL ResultSet
- *
- * Please note: for reset functionality, the underlying JDBC ResultSet must not be of TYPE_FORWARD_ONLY
- * To achieve this using postgres you can make your query using: connection.prepareStatement(sql,ResultSet.TYPE_SCROLL_INSENSITIVE,ResultSet.CONCUR_READ_ONLY);
- *
- * This class is designed in a similar fashion to org.deeplearning4j.text.sentenceiterator.BasicLineIterator
- *
- * @author Brad Heap nzv8fan@gmail.com
- */
 public class BasicResultSetIterator implements SentenceIterator {
 
     private ResultSet rs;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/CollectionSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/CollectionSentenceIterator.java
index 125ed2988..be0a834a7 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/CollectionSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/CollectionSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/FileSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/FileSentenceIterator.java
index fb014511e..31c0dfc6c 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/FileSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/FileSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/LineSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/LineSentenceIterator.java
index 83991c551..76ac3f37a 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/LineSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/LineSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
@@ -21,11 +25,6 @@ import org.apache.commons.io.LineIterator;
 
 import java.io.*;
 
-/**
- * Each line is a sentence
- *
- * @author Adam Gibson
- */
 public class LineSentenceIterator extends BaseSentenceIterator {
 
     private InputStream file;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/MutipleEpochsSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/MutipleEpochsSentenceIterator.java
index e038b1b6f..576dd6140 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/MutipleEpochsSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/MutipleEpochsSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
@@ -20,13 +24,6 @@ import lombok.NonNull;
 
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This SentenceIterator implemenation wraps existing sentence iterator, and resets it numEpochs times
- *
- * This class is usable for tests purposes mostly.
- *
- * @author raver119@gmail.com
- */
 public class MutipleEpochsSentenceIterator implements SentenceIterator {
     private SentenceIterator iterator;
     private int numEpochs;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/PrefetchingSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/PrefetchingSentenceIterator.java
index cb1e860c1..ef83f32ba 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/PrefetchingSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/PrefetchingSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
@@ -27,15 +31,6 @@ import java.util.concurrent.TimeUnit;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * Wrapper over SentenceIterator, that allows background prefetch from original SentenceIterator
- * It could be useful, if your SentencePreProcessor implementation is CPU intensive as well as whole pipeline behind iterator is cpu intensive too.
- * This iterator will allow you to split workload in two different threads
- *
- * WORK IS IN PROGRESS, DO NOT USE PLEASE
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class PrefetchingSentenceIterator implements SentenceIterator {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentenceIterator.java
index fb47a778d..ab7107648 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentenceIterator.java
@@ -1,29 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
-/**
- * A sentence iterator that knows how to iterate over sentence.
- * This can be used in conjunction with more advanced NLP techniques
- * to clearly separate sentences out, or be simpler when as much
- * complexity is not needed.
- * @author Adam Gibson
- *
- */
 public interface SentenceIterator {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentencePreProcessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentencePreProcessor.java
index 2ab6ee7c2..cd450d483 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentencePreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SentencePreProcessor.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
 import java.io.Serializable;
 
-/**
- * Sentence pre processor.
- * Used for pre processing strings
- *
- * @author Adam Gibson
- */
 public interface SentencePreProcessor extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/StreamLineIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/StreamLineIterator.java
index 156e88958..5bfcff057 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/StreamLineIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/StreamLineIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
@@ -29,13 +33,6 @@ import java.io.InputStreamReader;
 import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * Simple class suitable for iterating over InputStreams as over lines of strings
- *
- * Please note, this class is NOT thread safe
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class StreamLineIterator implements SentenceIterator {
     private DocumentIterator iterator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SynchronizedSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SynchronizedSentenceIterator.java
index ee2f6cd12..ceaa3ad4a 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SynchronizedSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/SynchronizedSentenceIterator.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator;
 
 import lombok.NonNull;
 
-/**
- * Simple synchronized wrapper for SentenceIterator interface implementations
- *
- * @author raver119@gmail.com
- */
 public class SynchronizedSentenceIterator implements SentenceIterator {
     private SentenceIterator underlyingIterator;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/interoperability/SentenceIteratorConverter.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/interoperability/SentenceIteratorConverter.java
index 3ebc29d56..74b7172e6 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/interoperability/SentenceIteratorConverter.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/interoperability/SentenceIteratorConverter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator.interoperability;
 
@@ -27,11 +31,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.List;
 
-/**
- * Simple class providing compatibility between SentenceIterator/LabelAwareSentenceIterator and LabelAwareIterator
- *
- * @author raver119@gmail.com
- */
 public class SentenceIteratorConverter implements LabelAwareIterator {
     private SentenceIterator backendIterator;
     private LabelsSource generator;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareFileSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareFileSentenceIterator.java
index afb0856e5..38f8124eb 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareFileSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareFileSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator.labelaware;
 
@@ -23,12 +27,6 @@ import java.io.File;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- *
- * Label aware sentence iterator
- *
- * @author Adam Gibson
- */
 public class LabelAwareFileSentenceIterator extends FileSentenceIterator implements LabelAwareSentenceIterator {
     /**
      * Takes a single file or directory
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareSentenceIterator.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareSentenceIterator.java
index 19f32a0bc..82e7689bd 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareSentenceIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/sentenceiterator/labelaware/LabelAwareSentenceIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.sentenceiterator.labelaware;
 
@@ -20,12 +24,6 @@ import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
 
 import java.util.List;
 
-/**
- * SentenceIterator that is aware of its label. This is useful
- * for creating datasets all at once or on the fly.
- *
- * @author Adam Gibson
- */
 public interface LabelAwareSentenceIterator extends SentenceIterator {
     /**
      * Returns the current label for nextSentence()
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/stopwords/StopWords.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/stopwords/StopWords.java
index 5fa2772b5..8525b561b 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/stopwords/StopWords.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/stopwords/StopWords.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.stopwords;
 
@@ -22,11 +26,6 @@ import org.nd4j.common.io.ClassPathResource;
 import java.io.IOException;
 import java.util.List;
 
-/**
- * Loads stop words from the class path
- * @author Adam Gibson
- *
- */
 public class StopWords {
 
     private static List stopWords;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java
index 4dbcfc66e..ce228184e 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
@@ -25,10 +29,6 @@ import java.nio.charset.Charset;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * A tokenizer that works with a vocab from a published bert model and tokenizes a token at a time from a stream
- * @author Paul Dubs
- */
 @Slf4j
 public class BertWordPieceStreamTokenizer extends BertWordPieceTokenizer {
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
index 817f8c563..ec4a3e3aa 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
@@ -23,10 +27,6 @@ import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.regex.Pattern;
 
-/**
- * A tokenizer that works with a vocab from a published bert model
- * @author Paul Dubs
- */
 @Slf4j
 public class BertWordPieceTokenizer implements Tokenizer {
     public static final Pattern splitPattern = Pattern.compile("\\p{javaWhitespace}+|((?<=\\p{Punct})+|(?=\\p{Punct}+))");
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultStreamTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultStreamTokenizer.java
index 5d4ab92db..d7a8a2a1b 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultStreamTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultStreamTokenizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultTokenizer.java
index 644287089..d504a2872 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/DefaultTokenizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/NGramTokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/NGramTokenizer.java
index a0b920c04..0980a8f11 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/NGramTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/NGramTokenizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/TokenPreProcess.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/TokenPreProcess.java
index 4e434d670..f501201bf 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/TokenPreProcess.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/TokenPreProcess.java
@@ -1,27 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
 
-/**
- * Token preprocessing
- * @author Adam Gibson
- *
- */
 public interface TokenPreProcess {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/Tokenizer.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/Tokenizer.java
index 9de419eb0..d9f6c74b4 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/Tokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/Tokenizer.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer;
 
 import java.util.List;
 
-/**
- * A representation of a tokenizer.
- * Different applications may require 
- * different kind of tokenization (say rules based vs more formal NLP approaches)
- * @author Adam Gibson
- *
- */
 public interface Tokenizer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/BertWordPiecePreProcessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/BertWordPiecePreProcessor.java
index b46ab164a..3097fa4cb 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/BertWordPiecePreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/BertWordPiecePreProcessor.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
 
 import it.unimi.dsi.fastutil.ints.IntOpenHashSet;
@@ -8,14 +28,6 @@ import java.text.Normalizer;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A preprocessor for cleaning/normaling text. Does the following:
- * 1. Optionally converts all characters to lower case
- * 2. Optionally strips accents off characters
- * 3. Strips all control characters
- * 4. Replaces whitespace characters with space ' ' (this includes newline and tab)
- * 5. Appends spaces before/after Chinese characters
- */
 public class BertWordPiecePreProcessor implements TokenPreProcess {
 
     public static final char REPLACEMENT_CHAR = 0xfffd;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CommonPreprocessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CommonPreprocessor.java
index bbe267814..4ec559aa3 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CommonPreprocessor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CommonPreprocessor.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
 
 import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
 
-/**
- * A TokenPreProcess implementation that removes puncuation marks and lower-cases.
- * 

- * Note that the implementation uses String#toLowerCase(String) and its behavior depends on the default locale.
- * @see StringCleaning#stripPunct(String)
- * @author jeffreytang
- */
 public class CommonPreprocessor implements TokenPreProcess {
     @Override
     public String preProcess(String token) {
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CompositePreProcessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CompositePreProcessor.java
index df7a51b8f..0d861f851 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CompositePreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/CompositePreProcessor.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
 
 import lombok.NonNull;
@@ -9,10 +29,6 @@ import java.util.Arrays;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * CompositePreProcessor is a {@link TokenPreProcess} that applies multiple preprocessors sequentially
- * @author Alex Black
- */
 public class CompositePreProcessor implements TokenPreProcess {
 
     private List preProcessors;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/EndingPreProcessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/EndingPreProcessor.java
index d0b62c5b9..8b5fa9222 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/EndingPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/EndingPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/LowCasePreProcessor.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/LowCasePreProcessor.java
index 3495e20c6..c8955008b 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/LowCasePreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/LowCasePreProcessor.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
 
 import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess;
 
-/**
- * @author raver119@gmail.com
- */
 public class LowCasePreProcessor implements TokenPreProcess {
     /**
      * Pre process a token
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StringCleaning.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StringCleaning.java
index 7cfe2ba4f..f6db851b0 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StringCleaning.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/preprocessor/StringCleaning.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizer.preprocessor;
 
 import java.util.regex.Pattern;
 
-/**
- * Various string cleaning utils
- * @author Adam GIbson
- */
 public class StringCleaning {
 
     private static final Pattern punctPattern = Pattern.compile("[\\d\\.:,\"\'\\(\\)\\[\\]|/?!;]+");
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/BertWordPieceTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/BertWordPieceTokenizerFactory.java
index 7907f7759..561e08b5b 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/BertWordPieceTokenizerFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/BertWordPieceTokenizerFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizerfactory;
 
@@ -32,10 +36,6 @@ import java.util.Map;
 import java.util.NavigableMap;
 import java.util.TreeMap;
 
-/**
- * Bert WordPiece tokenizer
- * @author Paul Dubs
- */
 public class BertWordPieceTokenizerFactory implements TokenizerFactory {
 
     private final NavigableMap vocab;
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/DefaultTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/DefaultTokenizerFactory.java
index cb0c01ccd..15909e31d 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/DefaultTokenizerFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/DefaultTokenizerFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizerfactory;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/NGramTokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/NGramTokenizerFactory.java
index 28894eaff..6203a7715 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/NGramTokenizerFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/NGramTokenizerFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizerfactory;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/TokenizerFactory.java b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/TokenizerFactory.java
index 930268d03..6dfc8f4c9 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/TokenizerFactory.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizerfactory/TokenizerFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.text.tokenization.tokenizerfactory;
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/assets/render.js b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/assets/render.js
index 89c92e55f..ad9e1b0f3 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/assets/render.js
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/assets/render.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 var x = [];
 var y = [];
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/org/deeplearning4j/ehcache.xml b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/org/deeplearning4j/ehcache.xml
index 2cd145833..7fa866cce 100755
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/org/deeplearning4j/ehcache.xml
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/org/deeplearning4j/ehcache.xml
@@ -1,78 +1,23 @@
-
-
 
 
-CacheManager Configuration
-==========================
-An ehcache.xml corresponds to a single CacheManager.
-
-See instructions below or the ehcache schema (ehcache.xsd) on how to configure.
-
-System property tokens can be specified in this file which are replaced when the configuration
-is loaded. For example multicastGroupPort=${multicastGroupPort} can be replaced with the
-System property either from an environment variable or a system property specified with a
-command line switch such as -DmulticastGroupPort=4446. Another example, useful for Terracotta
-server based deployments is  are:
-* name - an optional name for the CacheManager.  The name is optional and primarily used
-for documentation or to distinguish Terracotta clustered cache state.  With Terracotta
-clustered caches, a combination of CacheManager name and cache name uniquely identify a
-particular cache store in the Terracotta clustered memory.
-* updateCheck - an optional boolean flag specifying whether this CacheManager should check
-for new versions of Ehcache over the Internet.  If not specified, updateCheck="true".
-* dynamicConfig - an optional setting that can be used to disable dynamic configuration of caches
-associated with this CacheManager.  By default this is set to true - i.e. dynamic configuration
-is enabled.  Dynamically configurable caches can have their TTI, TTL and maximum disk and
-in-memory capacity changed at runtime through the cache's configuration object.
-* monitoring - an optional setting that determines whether the CacheManager should
-automatically register the SampledCacheMBean with the system MBean server.
-
-Currently, this monitoring is only useful when using Terracotta clustering and using the
-Terracotta Developer Console. With the "autodetect" value, the presence of Terracotta clustering
-will be detected and monitoring, via the Developer Console, will be enabled. Other allowed values
-are "on" and "off".  The default is "autodetect". This setting does not perform any function when
-used with JMX monitors.
-
-* maxBytesLocalHeap - optional setting that constraints the memory usage of the Caches managed by the CacheManager
-to use at most the specified number of bytes of the local VM's heap.
-* maxBytesLocalOffHeap - optional setting that constraints the offHeap usage of the Caches managed by the CacheManager
-to use at most the specified number of bytes of the local VM's offHeap memory.
-* maxBytesLocalDisk - optional setting that constraints the disk usage of the Caches managed by the CacheManager
-to use at most the specified number of bytes of the local disk.
-
-These settings let you define "resource pools", caches will share. For instance setting maxBytesLocalHeap to 100M, will result in
-all caches sharing 100 MegaBytes of ram. The CacheManager will balance these 100 MB across all caches based on their respective usage
-patterns. You can allocate a precise amount of bytes to a particular cache by setting the appropriate maxBytes* attribute for that cache.
-That amount will be subtracted from the CacheManager pools, so that if a cache a specified 30M requirement, the other caches will share
-the remaining 70M.
-
-Also, specifying a maxBytesLocalOffHeap at the CacheManager level will result in overflowToOffHeap to be true by default. If you don't want
-a specific cache to overflow to off heap, you'll have to set overflowToOffHeap="false" explicitly
-
-Here is an example of CacheManager level resource tuning, which will use up to 400M of heap and 2G of offHeap:
-
-
-
--->
 
     
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-nlp-parent/pom.xml b/deeplearning4j/deeplearning4j-nlp-parent/pom.xml
index 61627d8a9..7c7773d6f 100644
--- a/deeplearning4j/deeplearning4j-nlp-parent/pom.xml
+++ b/deeplearning4j/deeplearning4j-nlp-parent/pom.xml
@@ -1,42 +1,52 @@
 
-
-
+
 
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-nlp-parent
     pom
 
     
         deeplearning4j-nlp
-        deeplearning4j-nlp-uima
-        deeplearning4j-nlp-korean
-        deeplearning4j-nlp-japanese
-        deeplearning4j-nlp-chinese
     
 
+    
+        
+            org.deeplearning4j
+            deeplearning4j-common-tests
+            ${project.version}
+            test
+        
+    
+
     
         
             test-nd4j-native
@@ -45,5 +55,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-nn/pom.xml b/deeplearning4j/deeplearning4j-nn/pom.xml
index 268a70cd9..e3e34d76b 100644
--- a/deeplearning4j/deeplearning4j-nn/pom.xml
+++ b/deeplearning4j/deeplearning4j-nn/pom.xml
@@ -1,66 +1,67 @@
-
+
+
+
+
 
-
-    
-        deeplearning4j-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        deeplearning4j-parent
+        1.0.0-SNAPSHOT
+    
+
     deeplearning4j-nn
-    jar
 
     deeplearning4j-nn
 
-
     
         
             org.deeplearning4j
             deeplearning4j-utility-iterators
             ${project.version}
         
-
         
             org.lucee
             oswego-concurrent
             1.3.4
         
-
         
             org.deeplearning4j
             deeplearning4j-common
             ${project.version}
         
-
         
             org.projectlombok
             lombok
             ${lombok.version}
             provided
         
-
         
             commons-io
             commons-io
             ${commonsio.version}
         
-
         
         
             org.nd4j
@@ -88,33 +89,26 @@
             jackson
             ${nd4j.version}
         
-
         
         
             com.github.oshi
             oshi-core
             ${oshi.version}
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             it.unimi.dsi
             fastutil
             ${fastutil.version}
         
-
         
             junit
             junit
-            ${junit.version}
-            test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -131,5 +125,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingConfiguration.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingConfiguration.java
index 817d022e2..d0acb2e06 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingConfiguration.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping;
 
@@ -31,17 +35,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/** Early stopping configuration: Specifies the various configuration options for running training with early stopping.

- * Users need to specify the following:

- * (a) EarlyStoppingModelSaver: How models will be saved (to disk, to memory, etc) (Default: in memory)

- * (b) Termination conditions: at least one termination condition must be specified

- *     (i) Iteration termination conditions: calculated once for each minibatch. For example, maxTime or invalid (NaN/infinite) scores

- *     (ii) Epoch termination conditions: calculated once per epoch. For example, maxEpochs or no improvement for N epochs

- * (c) Score calculator: what score should be calculated at every epoch? (For example: test set loss or test set accuracy)

- * (d) How frequently (ever N epochs) should scores be calculated? (Default: every epoch)

- * @param  Type of model. For example, {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph}
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 public class EarlyStoppingConfiguration implements Serializable {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingModelSaver.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingModelSaver.java
index 61364d369..cea0f9276 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingModelSaver.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingModelSaver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping;
 
@@ -27,10 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 import java.io.IOException;
 import java.io.Serializable;
 
-/** Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
- * @param  Type of model to  save. For example, {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph}
- * @author Alex Black
- */
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @JsonSubTypes(value = {@JsonSubTypes.Type(value = InMemoryModelSaver.class, name = "InMemoryModelSaver"),
                 @JsonSubTypes.Type(value = LocalFileGraphSaver.class, name = "LocalFileGraphSaver"),
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingResult.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingResult.java
index 2987b2089..6f44c7fdb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingResult.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/EarlyStoppingResult.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping;
 
@@ -22,15 +26,6 @@ import org.deeplearning4j.nn.api.Model;
 import java.io.Serializable;
 import java.util.Map;
 
-/** EarlyStoppingResult: contains the results of the early stopping training, such as:
- * - Why the training was terminated
- * - Score vs. epoch
- * - Epoch that the best model was found
- * - Score of the best model
- * - The best model (MultiLayerNetwork) itself
- * @param  Type of model. For example, {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph}
- * @author Alex Black
- */
 @Data
 public class EarlyStoppingResult implements Serializable {
     public enum TerminationReason {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/listener/EarlyStoppingListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/listener/EarlyStoppingListener.java
index 9cad1e5dd..191870de3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/listener/EarlyStoppingListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/listener/EarlyStoppingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.listener;
 
@@ -20,10 +24,6 @@ import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
 import org.deeplearning4j.earlystopping.EarlyStoppingResult;
 import org.deeplearning4j.nn.api.Model;
 
-/**EarlyStoppingListener is a listener interface for conducting early stopping training.
- * It provides onStart, onEpoch, and onCompletion methods, which are called as appropriate
- * @param  Type of model. For example, {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph}
- */
 public interface EarlyStoppingListener {
 
     /**Method to be called when early stopping training is first started
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/InMemoryModelSaver.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/InMemoryModelSaver.java
index ec113d361..4e63ef0c5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/InMemoryModelSaver.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/InMemoryModelSaver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.saver;
 
@@ -21,10 +25,6 @@ import org.deeplearning4j.nn.api.Model;
 
 import java.io.IOException;
 
-/** Save the best (and latest) models for early stopping training to memory for later retrieval
- * Note: Assumes that network is cloneable via .clone() method
- * @param  Type of model. For example, {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph}
- */
 public class InMemoryModelSaver implements EarlyStoppingModelSaver {
 
     private transient T bestModel;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileGraphSaver.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileGraphSaver.java
index 46e700082..314747866 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileGraphSaver.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileGraphSaver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.saver;
 
@@ -25,20 +29,6 @@ import java.io.File;
 import java.io.IOException;
 import java.nio.charset.Charset;
 
-/** Save the best (and latest/most recent) {@link ComputationGraph}s learned during early stopping training to the local file system.

- * Instances of this class will save 3 files for best (and optionally, latest) models:

- * (a) The network configuration: bestGraphConf.json

- * (b) The network parameters: bestGraphParams.bin

- * (c) The network updater: bestGraphUpdater.bin

- * 

- * NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum
- * and RMSProp.

- * The updater is not required to use the network at test time; it is saved in case further training is required.
- * Without saving the updater, any further training would result in the updater being recreated, without the benefit
- * of the history/internal state. This could negatively impact training performance after loading the network.
- *
- * @author Alex Black
- */
 public class LocalFileGraphSaver implements EarlyStoppingModelSaver {
 
     private static final String BEST_GRAPH_BIN = "bestGraph.bin";
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileModelSaver.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileModelSaver.java
index 76a5b366a..155730176 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileModelSaver.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/saver/LocalFileModelSaver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.saver;
 
@@ -25,20 +29,6 @@ import java.io.File;
 import java.io.IOException;
 import java.nio.charset.Charset;
 
-/** Save the best (and latest/most recent) models learned during early stopping training to the local file system.

- * Instances of this class will save 3 files for best (and optionally, latest) models:

- * (a) The network configuration: bestModelConf.json

- * (b) The network parameters: bestModelParams.bin

- * (c) The network updater: bestModelUpdater.bin

- * 

- * NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum
- * and RMSProp.

- * The updater is not required to use the network at test time; it is saved in case further training is required.
- * Without saving the updater, any further training would result in the updater being recreated, without the benefit
- * of the history/internal state. This could negatively impact training performance after loading the network.
- *
- * @author Alex Black
- */
 public class LocalFileModelSaver implements EarlyStoppingModelSaver {
 
     private static final String BEST_MODEL_BIN = "bestModel.bin";
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/AutoencoderScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/AutoencoderScoreCalculator.java
index 2284efd1b..0c70667dd 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/AutoencoderScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/AutoencoderScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -28,13 +32,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Score function for a MultiLayerNetwork or ComputationGraph with a single
- * {@link org.deeplearning4j.nn.conf.layers.AutoEncoder} layer.
- * Calculates the specified {@link Metric} on the layer's reconstructions.
- *
- * @author Alex Black
- */
 public class AutoencoderScoreCalculator extends BaseScoreCalculator {
 
     protected final Metric metric;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ClassificationScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ClassificationScoreCalculator.java
index 8346e8c93..ae13edc79 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ClassificationScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ClassificationScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -22,13 +26,6 @@ import org.nd4j.evaluation.classification.Evaluation;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Score function for evaluating a MultiLayerNetwork according to an evaluation metric ({@link Evaluation.Metric} such
- * as accuracy, F1 score, etc.
- * Used for both MultiLayerNetwork and ComputationGraph
- *
- * @author Alex Black
- */
 public class ClassificationScoreCalculator extends BaseIEvaluationScoreCalculator {
 
     protected final Evaluation.Metric metric;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculator.java
index 9c0d50324..28b44593e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/** Given a DataSetIterator: calculate the total loss for the model on that data set.
- * Can be used for both MultiLayerNetwork and ComputationGraph
- *
- * @author Alex Black
- */
 public class DataSetLossCalculator extends BaseScoreCalculator {
 
     @JsonProperty
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculatorCG.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculatorCG.java
index cf6b64ca9..370ef1072 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculatorCG.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/DataSetLossCalculatorCG.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import org.nd4j.shade.jackson.annotation.JsonIgnore;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- *  Given a DataSetIterator: calculate
- *  the total loss for the model on that data set.
- * Typically used to calculate the loss on a test set.
- *
- * @deprecated Use {@link DataSetLossCalculator} instead for both MultiLayerNetwork and ComputationGraph
- */
 @NoArgsConstructor
 @Deprecated
 public class DataSetLossCalculatorCG implements ScoreCalculator {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ROCScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ROCScoreCalculator.java
index 89149a35a..53b145e26 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ROCScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ROCScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -25,12 +29,6 @@ import org.nd4j.evaluation.classification.ROCMultiClass;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Calculate ROC AUC (area under ROC curve) or AUCPR (area under precision recall curve) for a MultiLayerNetwork or
- * ComputationGraph
- *
- * @author Alex Black
- */
 public class ROCScoreCalculator extends BaseIEvaluationScoreCalculator {
 
     public enum ROCType {ROC, BINARY, MULTICLASS}
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/RegressionScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/RegressionScoreCalculator.java
index 87c9f2e38..5dab31e29 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/RegressionScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/RegressionScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -22,12 +26,6 @@ import org.nd4j.evaluation.regression.RegressionEvaluation;
 import org.nd4j.evaluation.regression.RegressionEvaluation.Metric;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * Calculate the regression score of the network (MultiLayerNetwork or ComputationGraph) on a test set, using the
- * specified regression metric - {@link Metric}
- *
- * @author Alex Black
- */
 public class RegressionScoreCalculator extends BaseIEvaluationScoreCalculator {
 
     protected final Metric metric;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ScoreCalculator.java
index e6d5ebbfe..d85c238a8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/ScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -23,10 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/** ScoreCalculator interface is used to calculate a score for a neural network.
- * For example, the loss function, test set accuracy, F1, or some other (possibly custom) metric.
- * @param  Type of model. For example, {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph}
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @JsonSubTypes(value = {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconErrorScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconErrorScoreCalculator.java
index 46eb7d670..687eb9969 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconErrorScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconErrorScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -28,12 +32,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Score function for variational autoencoder reconstruction error for a MultiLayerNetwork or ComputationGraph.

- * VariationalAutoencoder layer must be first layer in the network
- *
- * @see VAEReconProbScoreCalculator for reconstruction probability
- */
 public class VAEReconErrorScoreCalculator extends BaseScoreCalculator {
 
     protected final Metric metric;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconProbScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconProbScoreCalculator.java
index 35d9dd0c9..0ed2aef4b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconProbScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/VAEReconProbScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc;
 
@@ -25,13 +29,6 @@ import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * Score calculator for variational autoencoder reconstruction probability or reconstruction log probability for a
- * MultiLayerNetwork or ComputationGraph. VariationalAutoencoder layer must be first layer in the network

- * See {@link VariationalAutoencoder#reconstructionProbability(INDArray, int)} for more details
- *
- * @author Alex Black
- */
 public class VAEReconProbScoreCalculator extends BaseScoreCalculator {
 
     protected final int reconstructionProbNumSamples;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseIEvaluationScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseIEvaluationScoreCalculator.java
index 7f6b7dbe5..89dd780dc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseIEvaluationScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseIEvaluationScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc.base;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Base score function based on an IEvaluation instance. Used for both MultiLayerNetwork and ComputationGraph
- *
- * @param  Type of model
- * @param  Type of evaluation
- */
 public abstract class BaseIEvaluationScoreCalculator implements ScoreCalculator {
 
     protected MultiDataSetIterator iterator;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseMLNScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseMLNScoreCalculator.java
index 57f6c6089..17ccd04c0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseMLNScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseMLNScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc.base;
 
@@ -20,11 +24,6 @@ import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * Abstract score calculator for MultiLayerNetwonk
- *
- * @author Alex Black
- */
 public abstract class BaseMLNScoreCalculator extends BaseScoreCalculator {
 
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseScoreCalculator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseScoreCalculator.java
index 40c0b83cb..d0407b2e9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseScoreCalculator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/scorecalc/base/BaseScoreCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.scorecalc.base;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/BestScoreEpochTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/BestScoreEpochTerminationCondition.java
index 713d3d2a3..51458505f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/BestScoreEpochTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/BestScoreEpochTerminationCondition.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Created by Sadat Anwar on 3/26/16.
- *
- * Stop the training once we achieved an expected score. Normally this will stop if the current score is lower than
- * the initialized score. If you want to stop the training once the score increases the defined score set the
- * lesserBetter flag to false (feel free to give the flag a better name)
- */
 @Data
 public class BestScoreEpochTerminationCondition implements EpochTerminationCondition {
     @JsonProperty
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/EpochTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/EpochTerminationCondition.java
index ea08693d2..8c3a026d2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/EpochTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/EpochTerminationCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
@@ -23,9 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/** Interface for termination conditions to be evaluated once per epoch (i.e., once per pass of the full data set),
- *  based on a score and epoch number
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @JsonInclude(JsonInclude.Include.NON_NULL)
 public interface EpochTerminationCondition extends Serializable {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/InvalidScoreIterationTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/InvalidScoreIterationTerminationCondition.java
index 8084233a3..3e54e953f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/InvalidScoreIterationTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/InvalidScoreIterationTerminationCondition.java
@@ -1,24 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
 import lombok.Data;
 
-/** Terminate training at this iteration if score is NaN or Infinite for the last minibatch */
 @Data
 public class InvalidScoreIterationTerminationCondition implements IterationTerminationCondition {
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/IterationTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/IterationTerminationCondition.java
index 69f74c056..87b52ae07 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/IterationTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/IterationTerminationCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
@@ -21,10 +25,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**Interface for termination conditions to be evaluated once per iteration (i.e., once per minibatch).
- * Used for example to more quickly terminate training, instead of waiting for an epoch to complete before
- * checking termination conditions.
- * */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @JsonInclude(JsonInclude.Include.NON_NULL)
 public interface IterationTerminationCondition extends Serializable {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxEpochsTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxEpochsTerminationCondition.java
index 6d2e46578..8fa02a212 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxEpochsTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxEpochsTerminationCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
@@ -21,7 +25,6 @@ import lombok.NoArgsConstructor;
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/** Terminate training if the number of epochs exceeds the maximum number of epochs */
 @NoArgsConstructor
 @Data
 public class MaxEpochsTerminationCondition implements EpochTerminationCondition {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxScoreIterationTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxScoreIterationTerminationCondition.java
index ff82bd4dc..e47f42a26 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxScoreIterationTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxScoreIterationTerminationCondition.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/** Iteration termination condition for terminating training if the minibatch score exceeds a certain value.
- * This can occur for example with a poorly tuned (too high) learning rate
- */
 @Data
 public class MaxScoreIterationTerminationCondition implements IterationTerminationCondition {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxTimeIterationTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxTimeIterationTerminationCondition.java
index 26d65a145..81827f4cf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxTimeIterationTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/MaxTimeIterationTerminationCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/ScoreImprovementEpochTerminationCondition.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/ScoreImprovementEpochTerminationCondition.java
index 45a577ee3..567bd88b8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/ScoreImprovementEpochTerminationCondition.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/termination/ScoreImprovementEpochTerminationCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.termination;
 
@@ -20,9 +24,6 @@ import lombok.Data;
 import lombok.extern.slf4j.Slf4j;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Terminate training if best model score does not improve for N epochs
- */
 @Slf4j
 @Data
 public class ScoreImprovementEpochTerminationCondition implements EpochTerminationCondition {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/BaseEarlyStoppingTrainer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/BaseEarlyStoppingTrainer.java
index f038645ec..63923f44a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/BaseEarlyStoppingTrainer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/BaseEarlyStoppingTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.trainer;
 
@@ -45,10 +49,6 @@ import java.util.Map;
 
 ;
 
-/**Base/abstract class for conducting early stopping training locally (single machine).

- * Can be used to train a {@link MultiLayerNetwork} or a {@link ComputationGraph} via early stopping
- * @author Alex Black
- */
 public abstract class BaseEarlyStoppingTrainer implements IEarlyStoppingTrainer {
 
     private static Logger log = LoggerFactory.getLogger(BaseEarlyStoppingTrainer.class);
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java
index 2b8178ce9..d78967448 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.trainer;
 
@@ -27,10 +31,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Class for conducting early stopping training locally (single machine).

- * Can be used to train a {@link ComputationGraph}
- */
 public class EarlyStoppingGraphTrainer extends BaseEarlyStoppingTrainer { //implements IEarlyStoppingTrainer {
     private ComputationGraph net;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingTrainer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingTrainer.java
index 5eee74512..c96ad86f9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingTrainer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.trainer;
 
@@ -28,10 +32,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * Class for conducting early stopping training locally (single machine), for training a
- * {@link MultiLayerNetwork}. To train a {@link ComputationGraph}, use {@link EarlyStoppingGraphTrainer}
- */
 public class EarlyStoppingTrainer extends BaseEarlyStoppingTrainer {
 
     private MultiLayerNetwork net;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/IEarlyStoppingTrainer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/IEarlyStoppingTrainer.java
index 577fe1693..fd86168c6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/IEarlyStoppingTrainer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/IEarlyStoppingTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.earlystopping.trainer;
 
@@ -20,7 +24,6 @@ import org.deeplearning4j.earlystopping.EarlyStoppingResult;
 import org.deeplearning4j.earlystopping.listener.EarlyStoppingListener;
 import org.deeplearning4j.nn.api.Model;
 
-/** Interface for early stopping trainers */
 public interface IEarlyStoppingTrainer {
 
     /** Conduct early stopping training */
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/BaseEvaluation.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/BaseEvaluation.java
index 8ca1763f6..ee86245a5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/BaseEvaluation.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/BaseEvaluation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -33,9 +37,6 @@ import org.nd4j.shade.jackson.databind.SerializationFeature;
 import org.nd4j.shade.jackson.databind.module.SimpleModule;
 import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.BaseEvaluation}
- */
 @Deprecated
 @EqualsAndHashCode
 public abstract class BaseEvaluation extends org.nd4j.evaluation.BaseEvaluation {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java
index 69767df13..050fbe829 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -26,9 +30,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.classification.ConfusionMatrix}
- */
 @Deprecated
 public class ConfusionMatrix> extends org.nd4j.evaluation.classification.ConfusionMatrix {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java
index af0e55f57..a7b4dd483 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.List;
 import java.util.Map;
 
-/**
- * @deprecated Use ND4J Evaluation class, which has the same interface: {@link org.nd4j.evaluation.classification.Evaluation.Metric}
- */
 @EqualsAndHashCode(callSuper = true)
 @Deprecated
 public class Evaluation extends org.nd4j.evaluation.classification.Evaluation implements org.deeplearning4j.eval.IEvaluation {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationAveraging.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationAveraging.java
index 605aafbf2..2174e8139 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationAveraging.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationAveraging.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.EvaluationAveraging}
- */
 @Deprecated
 public enum EvaluationAveraging {
     Macro, Micro;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationBinary.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationBinary.java
index 108b0c7d0..7174af628 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationBinary.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationBinary.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -21,9 +25,6 @@ import lombok.EqualsAndHashCode;
 import lombok.NoArgsConstructor;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Use {@link org.nd4j.evaluation.classification.EvaluationBinary}
- */
 @Deprecated
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationCalibration.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationCalibration.java
index bda8b21b2..bb3843ce1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationCalibration.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationCalibration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -20,9 +24,6 @@ import lombok.EqualsAndHashCode;
 import lombok.Getter;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.classification.EvaluationCalibration}
- */
 @Deprecated
 @Getter
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationUtils.java
index 61570257d..a45dc7844 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/EvaluationUtils.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.evaluation.IEvaluation;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.EvaluationUtils}
- */
 @Deprecated
 public class EvaluationUtils extends org.nd4j.evaluation.EvaluationUtils {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/IEvaluation.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/IEvaluation.java
index cca4daa51..63653f7d9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/IEvaluation.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/IEvaluation.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
 import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.IEvaluation}
- */
 @Deprecated
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY)
 public interface IEvaluation extends org.nd4j.evaluation.IEvaluation {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROC.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROC.java
index 25e1ae3d1..5f24bc1f4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROC.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROC.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -20,9 +24,6 @@ import lombok.Data;
 import lombok.EqualsAndHashCode;
 import lombok.NoArgsConstructor;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.classification.ROC}
- */
 @Deprecated
 @EqualsAndHashCode(callSuper = true)
 @Data
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCBinary.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCBinary.java
index c9dd6dd45..df58cbdae 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCBinary.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCBinary.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
 import lombok.EqualsAndHashCode;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.classification.ROCBinary}
- */
 @Deprecated
 @EqualsAndHashCode(callSuper = true)
 public class ROCBinary extends org.nd4j.evaluation.classification.ROCBinary implements org.deeplearning4j.eval.IEvaluation {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCMultiClass.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCMultiClass.java
index 4bc284b92..d1f8668e5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCMultiClass.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ROCMultiClass.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
 import lombok.Data;
 import lombok.EqualsAndHashCode;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.classification.ROCMultiClass}
- */
 @Deprecated
 @Data
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/RegressionEvaluation.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/RegressionEvaluation.java
index 10c7c0c6d..284037026 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/RegressionEvaluation.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/RegressionEvaluation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval;
 
@@ -21,9 +25,6 @@ import lombok.EqualsAndHashCode;
 
 import java.util.List;
 
-/**
- * @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
- */
 @Deprecated
 @Data
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/Histogram.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/Histogram.java
index 3b043adaf..e3a381397 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/Histogram.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/Histogram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval.curves;
 
@@ -20,9 +24,6 @@ import lombok.Data;
 import org.nd4j.evaluation.curves.BaseHistogram;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.curves.Histogram}
- */
 @Deprecated
 @Data
 public class Histogram extends org.nd4j.evaluation.curves.Histogram {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java
index 2b00ac375..c42648bcd 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval.curves;
 
@@ -24,9 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.curves.ReliabilityDiagram}
- */
 @Deprecated
 @Data
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/ReliabilityDiagram.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/ReliabilityDiagram.java
index 27285a4e1..cb02a0a4d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/ReliabilityDiagram.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/ReliabilityDiagram.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval.curves;
 
 import lombok.NonNull;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.curves.ReliabilityDiagram}
- */
 @Deprecated
 public class ReliabilityDiagram extends org.nd4j.evaluation.curves.ReliabilityDiagram {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/RocCurve.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/RocCurve.java
index 5d5e65c2a..de464eea5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/RocCurve.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/RocCurve.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval.curves;
 
@@ -21,9 +25,6 @@ import lombok.Data;
 import lombok.EqualsAndHashCode;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.curves.RocCurve}
- */
 @Deprecated
 @Data
 @EqualsAndHashCode(exclude = {"auc"}, callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java
index fff9c2129..125056bce 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.eval.meta;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 
-/**
- * @deprecated Use {@link org.nd4j.evaluation.meta.Prediction}
- */
 @Data
 public class Prediction extends org.nd4j.evaluation.meta.Prediction {
     public Prediction(int actualClass, int predictedClass, Object recordMetaData){
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JException.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JException.java
index 41b7a0f44..3063ea90f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JException.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exception;
 
-/**
- * Base exception for DL4J
- *
- * @author Alex Black
- */
 public class DL4JException extends RuntimeException {
 
     public DL4JException() {}
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidConfigException.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidConfigException.java
index b2839946a..d6ebb352a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidConfigException.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidConfigException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exception;
 
-/**
- * Exception signifying that the specified configuration is invalid
- *
- * @author Alex Black
- */
 public class DL4JInvalidConfigException extends DL4JException {
     public DL4JInvalidConfigException() {}
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidInputException.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidInputException.java
index 39217c20f..26e4b0084 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidInputException.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DL4JInvalidInputException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exception;
 
-/**
- * DL4J Exception thrown when invalid input is provided (wrong rank, wrong size, etc)
- *
- * @author Alex Black
- */
 public class DL4JInvalidInputException extends DL4JException {
 
     public DL4JInvalidInputException() {}
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DeepLearningException.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DeepLearningException.java
index 973a62b37..5d6f533bb 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DeepLearningException.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/DeepLearningException.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exception;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/InvalidStepException.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/InvalidStepException.java
index edba60532..bc6159e71 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/InvalidStepException.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/exception/InvalidStepException.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.exception;
 
-/**
- * Created by agibsonccc on 8/20/14.
- */
 public class InvalidStepException extends Exception {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/gradientcheck/GradientCheckUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/gradientcheck/GradientCheckUtil.java
index c50ea517b..121102214 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/gradientcheck/GradientCheckUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/gradientcheck/GradientCheckUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gradientcheck;
 
@@ -55,21 +59,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.*;
 
-/** A utility for numerically checking gradients. 

- * Basic idea: compare calculated gradients with those calculated numerically,
- * to check implementation of backpropagation gradient calculation.

- * See:

- * - http://cs231n.github.io/neural-networks-3/#gradcheck

- * - http://ufldl.stanford.edu/wiki/index.php/Gradient_checking_and_advanced_optimization

- * - https://code.google.com/p/cuda-convnet/wiki/CheckingGradients

- *
- *
- * Is C is cost function, then dC/dW ~= (C(w+epsilon)-C(w-epsilon)) / (2*epsilon).

- * Method checks gradient calculation for every parameter separately by doing 2 forward pass
- * calculations for each parameter, so can be very time consuming for large networks.
- *
- * @author Alex Black
- */
 @Slf4j
 public class GradientCheckUtil {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/ArgmaxAdapter.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/ArgmaxAdapter.java
index 8830a1304..73bbf22ee 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/ArgmaxAdapter.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/ArgmaxAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.adapters;
 
@@ -22,11 +26,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This OutputAdapter implementation is suited for silent conversion of 2D SoftMax output
- *
- * @author raver119@gmail.com
- */
 public class ArgmaxAdapter implements OutputAdapter {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/Regression2dAdapter.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/Regression2dAdapter.java
index bc8cc8c95..e36b610ea 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/Regression2dAdapter.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/Regression2dAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.adapters;
 
@@ -22,11 +26,6 @@ import org.nd4j.adapters.OutputAdapter;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This OutputAdapter implementation takes single 2D nn output in, and returns JVM double[][] array
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class Regression2dAdapter implements OutputAdapter {
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/YoloModelAdapter.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/YoloModelAdapter.java
index 5a92a8fc7..57ec18aa1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/YoloModelAdapter.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/adapters/YoloModelAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.adapters;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
 import java.util.List;
 
-/**
- * This ModelAdapter implementation is suited for use of Yolo2 model with ParallelInference
- *
- * @author raver119@gmail.com
- */
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Classifier.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Classifier.java
index 8b1173523..3643297d3 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Classifier.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Classifier.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import java.util.List;
 
 
-/**
- * A classifier (this is for supervised learning)
- *
- * @author Adam Gibson
- */
 public interface Classifier extends Model {
 
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/FwdPassType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/FwdPassType.java
index cef823f82..0f589d1e2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/FwdPassType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/FwdPassType.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
-/**
- * Type of forward pass to do. Used internally in MultiLayerNetwork and ComputationGraph
- *
- * @author Alex Black
- */
 public enum FwdPassType {
     STANDARD,
     RNN_TIMESTEP,
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Layer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Layer.java
index be96113c9..60780ab99 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Layer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Layer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
@@ -28,13 +32,6 @@ import org.nd4j.common.primitives.Pair;
 import java.io.Serializable;
 import java.util.Collection;
 
-/**
- * Interface for a layer of a neural network.
- * This has an activation function, an input and output size,
- * weights, and a bias
- *
- * @author Adam Gibson
- */
 public interface Layer extends Serializable, Cloneable, Model, Trainable {
 
     enum Type {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/MaskState.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/MaskState.java
index 0e2fc39d7..6e7bcc6df 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/MaskState.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/MaskState.java
@@ -1,37 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
-/**
- * MaskState: specifies whether a mask should be applied or not.
- *
- * Masks should not be applied in all cases, depending on the network configuration - for example input Dense -> RNN
- * -> Dense -> RnnOutputLayer

- * The first dense layer should be masked (using the input mask) whereas the second shouldn't be, as it has valid data
- * coming from the RNN layer below. For variable length situations like that, the masking can be implemented using the
- * label mask, which will backpropagate 0s for those time steps.

- * In other cases, the *should* be applied - for example, input -> BidirectionalRnn -> Dense -> Output. In such a case,
- * the dense layer should be masked using the input mask.

- * 

- * Essentially: Active = apply mask to activations and errors.

- * Passthrough = feed forward the input mask (if/when necessary) but don't actually apply it.

- *
- * @author Alex Black
- */
 public enum MaskState {
     Active, Passthrough
 }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Model.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Model.java
index 49b32dcc2..53107fdc5 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Model.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Model.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
@@ -27,12 +31,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * A Model is meant for predicting something from data.
- * Note that this is not like supervised learning where
- * there are labels attached to the examples.
- *
- */
 public interface Model {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ModelAdapter.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ModelAdapter.java
index 6b99a92d4..8b7d816d6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ModelAdapter.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ModelAdapter.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
 import org.nd4j.adapters.OutputAdapter;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This interface describes abstraction that uses provided model to convert INDArrays to some specific output
- *
- * @param 
- */
 public interface ModelAdapter extends OutputAdapter {
     /**
      * This method invokes model internally, and does convertion to T
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/NeuralNetwork.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/NeuralNetwork.java
index 2284545ad..30215e916 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/NeuralNetwork.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/NeuralNetwork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/OptimizationAlgorithm.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/OptimizationAlgorithm.java
index 7528f9258..01a9ea1c2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/OptimizationAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/OptimizationAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ParamInitializer.java
index b6b252e65..7170953e9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/ParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Trainable.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Trainable.java
index 7ecb91b48..f93e1c5ee 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Trainable.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Trainable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- * Trainable: an interface common to Layers and GraphVertices that have trainable parameters
- *
- * @author Alex Black
- */
 public interface Trainable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/TrainingConfig.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/TrainingConfig.java
index 06b1d9b6e..ae7601a6f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/TrainingConfig.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/TrainingConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.learning.regularization.Regularization;
 
 import java.util.List;
 
-/**
- * Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.
- *
- * @author Alex Black
- */
 public interface TrainingConfig {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Updater.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Updater.java
index eea606086..d63b57bb8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Updater.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/Updater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/IOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/IOutputLayer.java
index 4c860f7c8..9ae58d28d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/IOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/IOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api.layers;
 
@@ -21,9 +25,6 @@ import org.deeplearning4j.nn.api.Layer;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Interface for output layers (those that calculate gradients with respect to a labels array)
- */
 public interface IOutputLayer extends Layer, Classifier {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/LayerConstraint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/LayerConstraint.java
index 8ad675047..ea3924b69 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/LayerConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/LayerConstraint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/RecurrentLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/RecurrentLayer.java
index dc7d9de55..62050b88e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/RecurrentLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/api/layers/RecurrentLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.api.layers;
 
@@ -24,9 +28,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Map;
 
-/**
- * Created by Alex on 28/08/2016.
- */
 public interface RecurrentLayer extends Layer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/BackpropType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/BackpropType.java
index 801c3f95a..b774aa65c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/BackpropType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/BackpropType.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
-/** Defines the type of backpropagation. 'Standard' setting (default) is used
- * for training most networks (MLP, CNN, etc)
- * In the context of recurrent neural networks, Standard means 
- * @author Alex
- *
- */
 public enum BackpropType {
     /** Default option. Used for training most networks, including MLP, DBNs, CNNs etc.*/
     Standard,
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CNN2DFormat.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CNN2DFormat.java
index b40d76bff..c775129cb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CNN2DFormat.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CNN2DFormat.java
@@ -1,14 +1,25 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.conf;
 
-/**
- * CNN2DFormat defines the format of the activations (including input images) in to and out of all 2D convolution layers in
- * Deeplearning4j. Default value is NCHW.

- * 

- * NCHW = "channels first" - arrays of shape [minibatch, channels, height, width]

- * NHWC = "channels last" - arrays of shape [minibatch, height, width, channels]

- *
- * @author Alex Black
- */
 public enum CNN2DFormat implements DataFormat {
     NCHW,
     NHWC;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CacheMode.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CacheMode.java
index 0c66b46ea..7dc6c5f3d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CacheMode.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/CacheMode.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
-/**
- * @author raver119@gmail.com
- */
 public enum CacheMode {
     /**
      * Device memory will be used for cache (if current backend support such differentiation)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ComputationGraphConfiguration.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ComputationGraphConfiguration.java
index 38f7cc9cc..1831aa19c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ComputationGraphConfiguration.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ComputationGraphConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
@@ -49,19 +53,6 @@ import java.io.IOException;
 import java.io.Serializable;
 import java.util.*;
 
-/**
- * ComputationGraphConfiguration is a configuration object for neural networks with arbitrary connection structure.
- * It is analogous to {@link MultiLayerConfiguration}, but allows considerably greater flexibility for the network
- * architecture.

- * Specifically, the network architecture is a directed acyclic graph, where each vertex in the graph is a {@link GraphVertex},
- * which may for example be a layer or a vertex/object that defines arbitrary forward and backward pass functionality.

- * Note that the ComputationGraph may have an arbitrary number of inputs (multiple independent inputs, possibly of different
- * types), and an arbitrary number of outputs (for example, multiple {@link OutputLayer} instances.
- * Typical usage:

- * {@code ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder()....graphBuilder()...build();}
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(exclude = {"trainingWorkspaceMode", "inferenceWorkspaceMode", "cacheMode", "topologicalOrder", "topologicalOrderStr"})
 @AllArgsConstructor(access = AccessLevel.PRIVATE)
@@ -999,7 +990,7 @@ public class ComputationGraphConfiguration implements Serializable, Cloneable {
          * InputType.convolutional(28,28,1)) then the input labelled "a" is a feed forward input, whereas the input labelled "b" in a CNN
          * input, with 28x28x1 images as input.

          * Note: Using setInputTypes is not always necessary, but can be especially helpful for example with CNNs such that
-         * the calculations on input/ouput sizes (width, height, channels, etc) don't need to be done manually.

+         * the calculations on input/output sizes (width, height, channels, etc) don't need to be done manually.

          * Note 2: If a preprocessor is manually added for a given layer, it will not be overridden by the automatic
          * addition of preprocessors.
          * Note 3: If a layer has an nIn set manually, this will not be overridden
@@ -1143,7 +1134,7 @@ public class ComputationGraphConfiguration implements Serializable, Cloneable {
          * first
          * @return A map of activation types for the graph (key: vertex name. value: type of activations out of that vertex)
          */
-        public Map getLayerActivationTypes(){
+        public Map getLayerActivationTypes() {
             Preconditions.checkArgument(networkInputs != null && networkInputs.size() > 0,
                     "Cannot calculate activation types if no inputs have been set (use addInputs(String...))");
             Preconditions.checkArgument(networkInputTypes != null && networkInputTypes.size() == networkInputs.size(),
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ConvolutionMode.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ConvolutionMode.java
index 4bd1050f0..c34fb3364 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ConvolutionMode.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ConvolutionMode.java
@@ -1,91 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
-/**
- * ConvolutionMode defines how convolution operations should be executed for Convolutional and Subsampling layers,
- * for a given input size and network configuration (specifically stride/padding/kernel sizes).

- * Currently, 3 modes are provided:
- * 

- * 

- * Strict: Output size for Convolutional and Subsampling layers are calculated as follows, in each dimension:
- * outputSize = (inputSize - kernelSize + 2*padding) / stride + 1. If outputSize is not an integer, an exception will
- * be thrown during network initialization or forward pass.
- * 

- * 

- * 

- * Truncate: Output size for Convolutional and Subsampling layers are calculated in the same way as in Strict (that
- * is, outputSize = (inputSize - kernelSize + 2*padding) / stride + 1) in each dimension.

- * If outputSize is an integer, then Strict and Truncate are identical. However, if outputSize is not an integer,
- * the output size will be rounded down to an integer value.

- * Specifically, ConvolutionMode.Truncate implements the following:

- * output height = floor((inputHeight - kernelHeight + 2*paddingHeight) / strideHeight) + 1.

- * output width = floor((inputWidth - kernelWidth + 2*paddingWidth) / strideWidth) + 1.

- * where 'floor' is the floor operation (i.e., round down to the nearest integer).

- * 

- * The major consequence of this rounding down: a border/edge effect will be seen if/when rounding down is required.
- * In effect, some number of inputs along the given dimension (height or width) will not be used as input and hence
- * some input activations can be lost/ignored. This can be problematic higher in the network (where the cropped activations
- * may represent a significant proportion of the original input), or with large kernel sizes and strides.

- * In the given dimension (height or width) the number of truncated/cropped input values is equal to
- * (inputSize - kernelSize + 2*padding) % stride. (where % is the modulus/remainder operation).

- * 

- * 

- * 

- * Same: Same mode operates differently to Strict/Truncate, in three key ways:

- * (a) Manual padding values in convolution/subsampling layer configuration is not used; padding values are instead calculated
- *     automatically based on the input size, kernel size and strides.

- * (b) The output sizes are calculated differently (see below) compared to Strict/Truncate. Most notably, when stride = 1
- *     the output size is the same as the input size.

- * (c) The calculated padding values may different for top/bottom, and left/right (when they do differ: right and bottom
- *     may have 1 pixel/row/column more than top/left padding)

- * The output size of a Convolutional/Subsampling layer using ConvolutionMode.Same is calculated as follows:

- * output height = ceil( inputHeight / strideHeight )

- * output width = ceil( inputWidth / strideWidth )

- * where 'ceil' is the ceiling operation (i.e., round up to the nearest integer).

- * 

- * The padding for top/bottom and left/right are automatically calculated as follows:

- * totalHeightPadding = (outputHeight - 1) * strideHeight + filterHeight - inputHeight

- * totalWidthPadding =  (outputWidth - 1) * strideWidth + filterWidth - inputWidth

- * topPadding = totalHeightPadding / 2      (note: integer division)

- * bottomPadding = totalHeightPadding - topPadding

- * leftPadding = totalWidthPadding / 2      (note: integer division)

- * rightPadding = totalWidthPadding - leftPadding

- * Note that if top/bottom padding differ, then bottomPadding = topPadding + 1
- * 

- * 

- * 

- * Causal: Causal padding mode can only be used for 1D convolutional neural networks.

- * The motivation behind causal padding mode is that the output time steps depend only on current and past time steps.

- * That is, out[t] (for time t) depends on only on values in[T] for t < T

- * The output size of 1D convolution/subsampling layers is the same as with SAME convolution mode -
- * i.e., outSize = ceil( inputSize / stride )

- * Padding is also the same as SAME mode, but all padding in on the left (start of sequence) instead of being on both
- * left and right of the input

- * For more details on causal convolutions, see WaveNet: A Generative Model For Audio,
- * section 2.1.
- * 

- * 

- * 

- * For further information on output sizes for convolutional neural networks, see the "Spatial arrangement" section at
- * http://cs231n.github.io/convolutional-networks/
- *
- * @author Alex Black
- */
 public enum ConvolutionMode {
 
     Strict, Truncate, Same, Causal
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/DataFormat.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/DataFormat.java
index bde392a58..2849b9402 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/DataFormat.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/DataFormat.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.conf;
 
 import org.deeplearning4j.nn.conf.serde.format.DataFormatDeserializer;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/GradientNormalization.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/GradientNormalization.java
index 05b1c6638..cd2352df1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/GradientNormalization.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/GradientNormalization.java
@@ -1,70 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
-/**Gradient normalization strategies. These are applied on raw gradients, before the gradients are passed to the
- * updater (SGD, RMSProp, Momentum, etc)

- * 
None = no gradient normalization (default)

- *
- * 
RenormalizeL2PerLayer = rescale gradients by dividing by the L2 norm of all gradients for the layer.

- *
- * 
RenormalizeL2PerParamType = rescale gradients by dividing by the L2 norm of the gradients, separately for
- * each type of parameter within the layer.

- * This differs from RenormalizeL2PerLayer in that here, each parameter type (weight, bias etc) is normalized separately.

- * For example, in a MLP/FeedForward network (where G is the gradient vector), the output is as follows:
- * 
    
- *     
  • GOut_weight = G_weight / l2(G_weight)
    • 
- *     
  • GOut_bias = G_bias / l2(G_bias)
    • 
- * 

- * 

- *
- * 
ClipElementWiseAbsoluteValue = clip the gradients on a per-element basis.

- * For each gradient g, set g <- sign(g)*max(maxAllowedValue,|g|).

- * i.e., if a parameter gradient has absolute value greater than the threshold, truncate it.

- * For example, if threshold = 5, then values in range -5<g<5 are unmodified; values <-5 are set
- * to -5; values >5 are set to 5.

- * This was proposed by Mikolov (2012), Statistical Language Models Based on Neural Networks (thesis),
- * http://www.fit.vutbr.cz/~imikolov/rnnlm/thesis.pdf
- * in the context of learning recurrent neural networks.

- * Threshold for clipping can be set in Layer configuration, using gradientNormalizationThreshold(double threshold)
- * 

- *
- * 
ClipL2PerLayer = conditional renormalization. Somewhat similar to RenormalizeL2PerLayer, this strategy
- * scales the gradients if and only if the L2 norm of the gradients (for entire layer) exceeds a specified
- * threshold. Specifically, if G is gradient vector for the layer, then:
- * 
    
- *     
  • GOut = G     if l2Norm(G) < threshold (i.e., no change) 
    • 
- *     
  • GOut = threshold * G / l2Norm(G)     otherwise 
    • 
- * 

- * Thus, the l2 norm of the scaled gradients will not exceed the specified threshold, though may be smaller than it

- * See: Pascanu, Mikolov, Bengio (2012), On the difficulty of training Recurrent Neural Networks,
- * https://arxiv.org/abs/1211.5063

- * Threshold for clipping can be set in Layer configuration, using gradientNormalizationThreshold(double threshold)
- * 

- *
- * 
ClipL2PerParamType = conditional renormalization. Very similar to ClipL2PerLayer, however instead of clipping
- * per layer, do clipping on each parameter type separately.

- * For example in a recurrent neural network, input weight gradients, recurrent weight gradients and bias gradient are all
- * clipped separately. Thus if one set of gradients are very large, these may be clipped while leaving the other gradients
- * unmodified.

- * Threshold for clipping can be set in Layer configuration, using gradientNormalizationThreshold(double threshold)

- *
- * @author Alex Black
- */
 public enum GradientNormalization {
     None, RenormalizeL2PerLayer, RenormalizeL2PerParamType, ClipElementWiseAbsoluteValue, ClipL2PerLayer, ClipL2PerParamType
 }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/InputPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/InputPreProcessor.java
index 92b98eff5..5ec1a4d63 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/InputPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/InputPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
@@ -26,13 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * Input pre processor used
- * for pre processing input before passing it
- * to the neural network.
- *
- * @author Adam Gibson
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface InputPreProcessor extends Serializable, Cloneable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/MultiLayerConfiguration.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/MultiLayerConfiguration.java
index ba9dc1c68..fe44c26ec 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/MultiLayerConfiguration.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/MultiLayerConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.deeplearning4j.nn.conf;
@@ -48,11 +52,6 @@ import java.io.IOException;
 import java.io.Serializable;
 import java.util.*;
 
-/**
- * Configuration for a multi layer network
- *
- * @author Adam Gibson
- */
 @Data
 @AllArgsConstructor(access = AccessLevel.PRIVATE)
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/NeuralNetConfiguration.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/NeuralNetConfiguration.java
index 462bc9f17..3d4add356 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/NeuralNetConfiguration.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/NeuralNetConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
@@ -60,12 +64,6 @@ import java.io.Serializable;
 import java.util.*;
 
 
-/**
- * A Serializable configuration
- * for neural nets that covers per layer parameters
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 @Slf4j
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/RNNFormat.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/RNNFormat.java
index c12857178..84a2d1c3a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/RNNFormat.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/RNNFormat.java
@@ -1,28 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.deeplearning4j.nn.conf;
 
-/**
- * NCW = "channels first" - arrays of shape [minibatch, channels, width]

- * NWC = "channels last" - arrays of shape [minibatch, width, channels]

- * "width" corresponds to sequence length and "channels" corresponds to sequence item size.
- */
-
 public enum RNNFormat implements DataFormat {
     NCW,
     NWC
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/Updater.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/Updater.java
index d9f8cd647..9a623ed19 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/Updater.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/Updater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/WorkspaceMode.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/WorkspaceMode.java
index 2a754d07d..aed248050 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/WorkspaceMode.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/WorkspaceMode.java
@@ -1,31 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf;
 
-/**
- * Workspace mode to use. See https://deeplearning4j.konduit.ai/config/config-memory/config-workspaces

- * 

- * NONE: No workspaces will be used for the network. Highest memory use, least performance.

- * ENABLED: Use workspaces. This is the default and should almost always be used

- * SINGLE: Deprecated. Now equivalent to ENABLED, which should be used instead.

- * SEPARATE: Deprecated. Now equivalent to ENABLED, which sohuld be used instead.

- *
- * @author raver119@gmail.com
- */
 public enum WorkspaceMode {
     NONE, // workspace won't be used
     ENABLED,
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/BaseConstraint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/BaseConstraint.java
index 0973f5cb2..fafb7a78e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/BaseConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/BaseConstraint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.constraint;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MaxNormConstraint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MaxNormConstraint.java
index 7a20de13e..8f2994cf5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MaxNormConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MaxNormConstraint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.constraint;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.indexing.conditions.Conditions;
 import java.util.Collections;
 import java.util.Set;
 
-/**
- * Constrain the maximum L2 norm of the incoming weights for each unit to be less than or equal to the specified value.
- * If the L2 norm exceeds the specified value, the weights will be scaled down to satisfy the constraint.
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class MaxNormConstraint extends BaseConstraint {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java
index 6995d8d21..895072c39 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.constraint;
 
@@ -29,16 +33,6 @@ import org.nd4j.linalg.indexing.conditions.Conditions;
 import java.util.Collections;
 import java.util.Set;
 
-/**
- * Constrain the minimum AND maximum L2 norm of the incoming weights for each unit to be between the specified values.
- * If the L2 norm exceeds the specified max value, the weights will be scaled down to satisfy the constraint; if the
- * L2 norm is less than the specified min value, the weights will be scaled up

- * Note that this constraint supports a rate parameter (default: 1.0, which is equivalent to a strict constraint).
- * If rate < 1.0, the applied norm2 constraint will be (1-rate)*norm2 + rate*clippedNorm2, where clippedNorm2 is the
- * norm2 value after applying clipping to min/max values.
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class MinMaxNormConstraint extends BaseConstraint {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/NonNegativeConstraint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/NonNegativeConstraint.java
index 697374d42..0aa05bbe5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/NonNegativeConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/NonNegativeConstraint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.constraint;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 
-/**
- * Constrain the parameters to be non-negative. All values less than zero will be set to 0.0
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class NonNegativeConstraint extends BaseConstraint {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/UnitNormConstraint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/UnitNormConstraint.java
index 1385816f9..8e06315be 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/UnitNormConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/UnitNormConstraint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.constraint;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.factory.Broadcast;
 import java.util.Collections;
 import java.util.Set;
 
-/**
- * Constrain the L2 norm of the incoming weights for each unit to be 1.0
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class UnitNormConstraint extends BaseConstraint {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/BinomialDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/BinomialDistribution.java
index dcaf50b4e..ecba1b3ef 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/BinomialDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/BinomialDistribution.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * A binomial distribution, with 2 parameters: number of trials, and probability of success
- *
- * @author Adam Gibson
- *
- */
 public class BinomialDistribution extends Distribution {
 
     private static final long serialVersionUID = 7407024251874318749L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/ConstantDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/ConstantDistribution.java
index 0a023846f..848d26a23 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/ConstantDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/ConstantDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
@@ -21,10 +25,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Constant distribution: a "distribution" where all values are set to the specified constant
- *
- */
 @Data
 @EqualsAndHashCode(callSuper = false)
 public class ConstantDistribution extends Distribution {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distribution.java
index ae1c5afcd..712427aaf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
@@ -21,10 +25,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * An abstract distribution.
- *
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "type",
                 defaultImpl = LegacyDistributionHelper.class)
 public abstract class Distribution implements Serializable, Cloneable {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distributions.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distributions.java
index 976bd2e9a..d4bb083be 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distributions.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/Distributions.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Static methods for instantiating an nd4j distribution from a DL4J distribution configuration object.
- *
- */
 public class Distributions {
     private Distributions() {}
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/GaussianDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/GaussianDistribution.java
index a461a8150..e50c9b15c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/GaussianDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/GaussianDistribution.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * A normal (Gaussian) distribution, with two parameters: mean and standard deviation
- *
- * @deprecated Use {@link NormalDistribution} which is identical to this implementation
- */
 @Deprecated
 public class GaussianDistribution extends NormalDistribution {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/LogNormalDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/LogNormalDistribution.java
index 15182c9ba..204b737ac 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/LogNormalDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/LogNormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/NormalDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/NormalDistribution.java
index 87223bf8a..42c62c0b9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/NormalDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/NormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/OrthogonalDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/OrthogonalDistribution.java
index dbe7143d4..7e4efa84d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/OrthogonalDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/OrthogonalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/TruncatedNormalDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/TruncatedNormalDistribution.java
index 711e4ba72..28b95025a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/TruncatedNormalDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/TruncatedNormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
@@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * A truncated normal distribution, with 2 parameters: mean and standard deviation

- * This distribution is a standard normal/Gaussian distribtion, however values are "truncated" in the sense that any
- * values that fall outside the range [mean - 2 * stdev, mean + 2 * stdev] are re-sampled.
- */
 @EqualsAndHashCode(callSuper = false)
 @Data
 public class TruncatedNormalDistribution extends Distribution {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/UniformDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/UniformDistribution.java
index 8403b01ef..ade1b7ffa 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/UniformDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/UniformDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionDeserializer.java
index e26841a46..1d7d645d5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution.serde;
 
@@ -26,13 +30,6 @@ import org.nd4j.shade.jackson.databind.JsonNode;
 
 import java.io.IOException;
 
-/**
- * Jackson Json deserializer to handle legacy format for distributions.

- * Now, we use 'type' field which contains class information.

- * Previously, we used wrapper objects for type information instead (see TestDistributionDeserializer for examples)
- *
- * @author Alex Black
- */
 public class LegacyDistributionDeserializer extends JsonDeserializer {
     @Override
     public Distribution deserialize(JsonParser jp, DeserializationContext deserializationContext)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionHelper.java
index cb4e54a68..580f35db1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/distribution/serde/LegacyDistributionHelper.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.distribution.serde;
 
 import org.deeplearning4j.nn.conf.distribution.Distribution;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 
-/**
- * A dummy helper "distribution" for deserializing distributions in legacy/different JSON format.
- * Used in conjuction with {@link LegacyDistributionDeserializer} to provide backward compatability;
- * see that class for details.
- *
- * @author Alex Black
- */
 @JsonDeserialize(using = LegacyDistributionDeserializer.class)
 public class LegacyDistributionHelper extends Distribution {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/AlphaDropout.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/AlphaDropout.java
index aa2ed3478..fbffa1ef7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/AlphaDropout.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/AlphaDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
@@ -31,26 +35,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * AlphaDropout is a dropout technique proposed by Klaumbauer et al. 2017 - Self-Normalizing Neural Networks
- * https://arxiv.org/abs/1706.02515 

- * 

- * This dropout technique was designed specifically for self-normalizing neural networks - i.e., networks using
- * {@link org.nd4j.linalg.activations.impl.ActivationSELU} / {@link org.nd4j.linalg.activations.Activation#SELU}
- * activation function, combined with the N(0,stdev=1/sqrt(fanIn)) "SNN" weight initialization,
- * {@link org.deeplearning4j.nn.weights.WeightInit#NORMAL}

- * 

- * In conjuction with the aforementioned activation function and weight initialization, AlphaDropout attempts to keep
- * both the mean and variance of the post-dropout activations to the same (in expectation) as before alpha
- * dropout was applied.

- * Specifically, AlphaDropout implements a * (x * d + alphaPrime * (1-d)) + b, where d ~ Bernoulli(p), i.e., d \in {0,1}.
- * Where x is the input activations, a, b, alphaPrime are constants determined from the SELU alpha/lambda parameters.
- * Users should use the default alpha/lambda values in virtually all cases.

- * 

- * Dropout schedules (i.e., varying probability p as a function of iteration/epoch) are also supported.

- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(exclude = {"lastPValue","alphaPrime","a","b", "mask"})
 @ToString(exclude = {"lastPValue","alphaPrime","a","b"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/Dropout.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/Dropout.java
index faded5e58..a8ff440d3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/Dropout.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/Dropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
@@ -35,37 +39,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Implements standard (inverted) dropout.

- * 

- * Regarding dropout probability. This is the probability of retaining each input activation value for a layer.
- * Thus, each input activation x is independently set to:

- * x <- 0, with probability 1-p

- * x <- x/p with probability p

- * Note that this "inverted" dropout scheme maintains the expected value of activations - i.e., E(x) is the same before
- * and after dropout.

- * Dropout schedules (i.e., varying probability p as a function of iteration/epoch) are also supported.

- * 

- * Other libraries (notably, Keras) use p == probability(dropping an activation)

- * In DL4J, {@code new Dropout(x)} will keep an input activation with probability x, and set to 0 with probability 1-x.

- * Thus, a dropout value of 1.0 is functionally equivalent to no dropout: i.e., 100% probability of retaining
- * each input activation.

- * 

- * Note 1: As per all IDropout instances, dropout is applied at training time only - and is automatically not applied at
- * test time (for evaluation, etc)

- * Note 2: Care should be taken when setting lower (probability of retaining) values for (too much information may be
- * lost with aggressive (very low) dropout values).

- * Note 3: Frequently, dropout is not applied to (or, has higher retain probability for) input (first layer)
- * layers. Dropout is also often not applied to output layers.

- * Note 4: Implementation detail (most users can ignore): DL4J uses inverted dropout, as described here:
- * http://cs231n.github.io/neural-networks-2/
- * 

- * 

- * See: Srivastava et al. 2014: Dropout: A Simple Way to Prevent Neural Networks from Overfitting
- * http://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf
- *
- * @author Alex Black
- */
 @Data
 @JsonIgnoreProperties({"mask", "helper", "helperCountFail", "initializedHelper"})
 @EqualsAndHashCode(exclude = {"mask", "helper", "helperCountFail", "initializedHelper"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/DropoutHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/DropoutHelper.java
index 8aef673fd..5015d93d7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/DropoutHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/DropoutHelper.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A helper interface for native dropout implementations
- *
- * @author Alex Black
- */
 public interface DropoutHelper {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianDropout.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianDropout.java
index cd25718bc..a22d096d3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianDropout.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
@@ -29,23 +33,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Gaussian dropout. This is a multiplicative Gaussian noise (mean 1) on the input activations.

- * 

- * Each input activation x is independently set to:

- * x <- x * y, where y ~ N(1, stdev = sqrt((1-rate)/rate))

- * Dropout schedules (i.e., varying probability p as a function of iteration/epoch) are also supported.

- * 

- * Note 1: As per all IDropout instances, GaussianDropout is applied at training time only - and is automatically not
- * applied at test time (for evaluation, etc)

- * Note 2: Frequently, dropout is not applied to (or, has higher retain probability for) input (first layer)
- * layers. Dropout is also often not applied to output layers.

- * 

- * See: "Multiplicative Gaussian Noise" in Srivastava et al. 2014: Dropout: A Simple Way to Prevent Neural Networks from
- * Overfitting http://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf
- *
- * @author Alex Black
- */
 @Data
 @JsonIgnoreProperties({"noise"})
 @EqualsAndHashCode(exclude = {"noise"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianNoise.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianNoise.java
index d165614ab..242abc8be 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianNoise.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/GaussianNoise.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Applies additive, mean-zero Gaussian noise to the input - i.e., x = x + N(0,stddev).

- * Note that this differs from {@link GaussianDropout}, which applies multiplicative mean-1 N(1,s) noise.

- * Note also that schedules for the standard deviation value can also be used.
- *
- * @author Alex Black
- */
 @Data
 public class GaussianNoise implements IDropout {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/IDropout.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/IDropout.java
index 43ba15898..08d2d6869 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/IDropout.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/IDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
@@ -22,12 +26,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * IDropout instances operate on an activations array, modifying or dropping values at training time only.
- * IDropout instances are not applied at test time.
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface IDropout extends Serializable, Cloneable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/SpatialDropout.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/SpatialDropout.java
index 4d83e7fe8..97cdadd8f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/SpatialDropout.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/dropout/SpatialDropout.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.dropout;
 
@@ -30,19 +34,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Spatial dropout: can only be applied to 3D (time series), 4D (convolutional 2D) or 5D (convolutional 3D) activations.
- * Dropout mask is generated along the depth dimension, and is applied to:

- * For 3D/time series/sequence input: each step in the sequence

- * For 4D (CNN 2D) input: each x/y location in an image.

- * For 5D (CNN 3D) input: each x/y/z location in a volume

- * Note that the dropout mask is generated independently for each example: i.e., a dropout mask of shape [minibatch, channels]
- * is generated and applied to activations of shape [minibatch, channels, height, width]
- * 

- * Reference: Efficient Object Localization Using Convolutional Networks: https://arxiv.org/abs/1411.4280
- *
- * @author Alex Black
- */
 @Data
 @JsonIgnoreProperties({"mask"})
 @EqualsAndHashCode(exclude = {"mask"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/AttentionVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/AttentionVertex.java
index 77efbf84e..9b73502d6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/AttentionVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/AttentionVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.conf.graph;
 
 import org.nd4j.shade.guava.base.Preconditions;
@@ -33,15 +37,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Map;
 
-/**
- * Implements Dot Product Attention using the given inputs.
- * For Timestep-wise Self-Attention use the same value for all three inputs.
- *
- * @see org.nd4j.autodiff.samediff.ops.SDNN#multiHeadDotProductAttention(String, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean)
- * @see org.nd4j.autodiff.samediff.ops.SDNN#dotProductAttention(String, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean)
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 @Data
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertex.java
index d04e9f498..6afea271f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -20,6 +24,7 @@ import lombok.Data;
 import lombok.val;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException;
+import org.deeplearning4j.nn.conf.layers.InputTypeUtil;
 import org.deeplearning4j.nn.conf.memory.LayerMemoryReport;
 import org.deeplearning4j.nn.conf.memory.MemoryReport;
 import org.deeplearning4j.nn.graph.ComputationGraph;
@@ -27,15 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner

- * For example, the activations may be combined by addition, subtraction, multiplication (product), average or by
- * selecting the maximum.

- * Addition, Average, Max and Product may use an arbitrary number of input arrays. Note that in the case of subtraction,
- * only two inputs may be used.
- *
- * @author Alex Black
- */
 @Data
 public class ElementWiseVertex extends GraphVertex {
 
@@ -125,6 +121,8 @@ public class ElementWiseVertex extends GraphVertex {
     public InputType getOutputType(int layerIndex, InputType... vertexInputs) throws InvalidInputTypeException {
         if (vertexInputs.length == 1)
             return vertexInputs[0];
+        InputTypeUtil.convertMultipleTypes(vertexInputs);
+
         InputType first = vertexInputs[0];
         if (first.getType() != InputType.Type.CNN) {
             //FF, RNN or flat CNN data inputs
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/FrozenVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/FrozenVertex.java
index 5059395bb..2b994f13b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/FrozenVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/FrozenVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -26,15 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * FrozenVertex is used for the purposes of transfer learning.

- * A frozen vertex wraps another DL4J GraphVertex within it.
- * During backprop, the FrozenVertex is skipped, and any parameters are not be updated.
- * Usually users will typically not create FrozenVertex instances directly - they are usually used in the process of performing
- * transfer learning
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = false)
 public class FrozenVertex extends GraphVertex {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/GraphVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/GraphVertex.java
index 497cc77f5..2c2d1365d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/GraphVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/GraphVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -26,12 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * A GraphVertex is a vertex in the computation graph type of neural network. It may contain Layer, or define some
- * arbitrary forward/backward pass behaviour based on the inputs. GraphVertex instances may also have trainable parameters.
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public abstract class GraphVertex implements Cloneable, Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2NormalizeVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2NormalizeVertex.java
index f299ca3b6..4bed61427 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2NormalizeVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2NormalizeVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -28,16 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * L2NormalizeVertex performs L2 normalization on a single input, along the specified dimensions.
- * L2 normalization is defined as: out = in / l2Norm(in)

- *
- * Can be configured to normalize a single dimension, or normalize across
- * all dimensions except dimensions zero (i.e., the minibatch dimension) by leaving dimension blank or setting it to -1.
- *
- * @author Justin Long (crockpotveggies)
- * @author Alex Black (AlexDBlack)
- */
 @Data
 @EqualsAndHashCode(callSuper = false)
 public class L2NormalizeVertex extends GraphVertex {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2Vertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2Vertex.java
index 53fe591bb..4d79b7354 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2Vertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/L2Vertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -26,18 +30,6 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * L2Vertex calculates the L2 (Euclidean) least squares error of two inputs, on a per-example basis.
- * It outputs a single value for each input - i.e., for input [minibatch,X] it outputs shape [minibatch,1]
- * where each value {@code out[i,0] = l2Distance(in1[i,...], in2[i,...])}

- * Note however than epsilon value (1e-8 by default) will be added to inputs to avoid the gradient being undefined
- * for all zero inputs
- *
- * For example, in Triplet Embedding you can input an anchor and a pos/neg class and use two parallel
- * L2 vertices to calculate two real numbers which can be fed into a LossLayer to calculate TripletLoss.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class L2Vertex extends GraphVertex {
     protected double eps;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/LayerVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/LayerVertex.java
index 7a670cbf7..677e3428c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/LayerVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/LayerVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Arrays;
 
-/**
- * LayerVertex is a GraphVertex with a neural network Layer (and, optionally an {@link InputPreProcessor}) in it
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 @Data
 @EqualsAndHashCode(callSuper = false)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/MergeVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/MergeVertex.java
index 1def6ab32..97b4e9606 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/MergeVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/MergeVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -25,27 +29,18 @@ import org.deeplearning4j.nn.conf.RNNFormat;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException;
 import org.deeplearning4j.nn.conf.layers.Convolution3D;
+import org.deeplearning4j.nn.conf.layers.InputTypeUtil;
 import org.deeplearning4j.nn.conf.memory.LayerMemoryReport;
 import org.deeplearning4j.nn.conf.memory.MemoryReport;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/** A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.

- * Exactly how this is done depends on the type of input.

- * For 2d (feed forward layer) inputs: {@code MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]}

- * For 3d (time series) inputs: {@code MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength])
- *      -> [numExamples,layerSize1 + layerSize2,timeSeriesLength]}

- * For 4d (convolutional) inputs: {@code MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height])
- *      -> [numExamples,depth1 + depth2,width,height]}

- * @author Alex Black
- */
 @Data
 public class MergeVertex extends GraphVertex {
 
-    @Setter
     protected int mergeAxis = DEFAULT_MERGE_DIM;       //default value for backward compatibility (deserialization of old version JSON) - NCHW and NCW format
-
+    protected boolean modified = false;
 
     public final static int DEFAULT_MERGE_DIM = 1;
 
@@ -94,6 +89,10 @@ public class MergeVertex extends GraphVertex {
     public InputType getOutputType(int layerIndex, InputType... vertexInputs) throws InvalidInputTypeException {
         if (vertexInputs.length == 1)
             return vertexInputs[0];
+
+        InputTypeUtil.convertMultipleTypes(vertexInputs);
+
+
         InputType first = vertexInputs[0];
         if (first.getType() == InputType.Type.CNNFlat) {
             //TODO
@@ -157,17 +156,6 @@ public class MergeVertex extends GraphVertex {
             }
 
             for (int i = 0; i < vertexInputs.length; i++) {
-                if (vertexInputs[i].getType() != first.getType()) {
-                    if(vertexInputs[i].getType() != InputType.Type.FF && vertexInputs[i].getType() != InputType.Type.RNN)
-                        throw new InvalidInputTypeException(
-                                "Invalid input: MergeVertex cannot merge activations of different types:"
-                                        + " first type = " + first.getType() + ", input type " + (i + 1)
-                                        + " = " + vertexInputs[i].getType());
-                    else {
-                        type = InputType.Type.RNN;
-                    }
-                }
-
                 long thisSize = 0;
                 switch (vertexInputs[i].getType()) {
                     case FF:
@@ -185,7 +173,7 @@ public class MergeVertex extends GraphVertex {
                     case RNN:
                         thisSize = ((InputType.InputTypeRecurrent) vertexInputs[i]).getSize();
                         //don't change dimension if it was already modified
-                        if(this.mergeAxis == DEFAULT_MERGE_DIM)
+                        if(!modified)
                             this.mergeAxis = format == RNNFormat.NCW ? 1 : 2;
                         break;
                     default:
@@ -263,6 +251,15 @@ public class MergeVertex extends GraphVertex {
         }
     }
 
+    public int getMergeAxis() {
+        return mergeAxis;
+    }
+
+    public void setMergeAxis(int mergeAxis) {
+        this.mergeAxis = mergeAxis;
+        modified = true;
+    }
+
     @Override
     public MemoryReport getMemoryReport(InputType... inputTypes) {
         InputType outputType = getOutputType(-1, inputTypes);
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PoolHelperVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PoolHelperVertex.java
index c5034129c..aa4adccd9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PoolHelperVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PoolHelperVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -26,13 +30,6 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Removes the first column and row from an input. This is to fix inconsistencies from ZeroPadding
- * layers in imported models from Caffe.

- * See https://gist.github.com/joelouismarino/a2ede9ab3928f999575423b9887abd14.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class PoolHelperVertex extends GraphVertex {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PreprocessorVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PreprocessorVertex.java
index 90f905c60..c28ca4c30 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PreprocessorVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PreprocessorVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -28,12 +32,6 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * PreprocessorVertex is a simple adaptor class that allows a {@link InputPreProcessor} to be used in a ComputationGraph
- * GraphVertex, without it being associated with a layer.
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 @Data
 public class PreprocessorVertex extends GraphVertex {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ReshapeVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ReshapeVertex.java
index 006024eea..9a774aa47 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ReshapeVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ReshapeVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -29,14 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * Adds the ability to reshape and flatten the tensor in the computation graph.

- * NOTE: This class should only be used if you know exactly what you are doing with reshaping activations.
- * Use preprocessors such as {@link org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor} and
- * {@link org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor} for most cases.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Data
 public class ReshapeVertex extends GraphVertex {
     public static final char DEFAULT_RESHAPE_ORDER = 'c';
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ScaleVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ScaleVertex.java
index 1859586c6..d79f549ab 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ScaleVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ScaleVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * A ScaleVertex is used to scale the size of activations of a single layer: this is simply multiplication by a
- * fixed scalar value

- * For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
- *
- * @author Justin Long (@crockpotveggies)
- */
 @Data
 public class ScaleVertex extends GraphVertex {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ShiftVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ShiftVertex.java
index b50f16d5e..391f14972 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ShiftVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ShiftVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -29,23 +33,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * A ShiftVertex is used to shift the activations of a single layer. It is addition of a scalar value.

- * One could use it to add a bias or as part of some other calculation.
- * For example, Highway Layers need them in two places. One, it's often
- * useful to have the gate weights have a large negative bias. (Of course
- * for this, we could just initialize the biases that way.)
- * But, _also_ it needs to do this:
- * {@code (1-sigmoid(weight * input + bias)) (*) input + sigmoid(weight * input + bias) (*) activation(w2 * input + bias) ((*) is hadamard product)}
- * 

- * So, here, we could have:

- * 1. a DenseLayer that does the sigmoid

- * 2. a ScaleVertex(-1) and

- * 3. a ShiftVertex(1)

- * to accomplish that.

- *
- * @author Binesh Bannerjee (binesh_binesh@hotmail.com, @bnsh on gitter)
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/StackVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/StackVertex.java
index 65515153d..87f255b27 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/StackVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/StackVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -26,14 +30,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * StackVertex allows for stacking of inputs so that they may be forwarded through a network.
- * This is useful for cases such as Triplet Embedding, where shared parameters are not supported by the network.
- * Note that stacking occurs along dimension 0: so if 2 inputs both have shape {@code [mb,x]}, the output
- * after stacking has shape {@code [2*mb,x]}. Can be used for
- *
- * @author Justin Long (crockpotveggies)
- */
 public class StackVertex extends GraphVertex {
 
     public StackVertex() {}
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/SubsetVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/SubsetVertex.java
index cb3692af2..4ad09de82 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/SubsetVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/SubsetVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -29,16 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * SubsetVertex is used to select a subset of the activations out of another GraphVertex.

- * For example, a subset of the activations out of a layer.

- * Note that this subset is specifying by means of an interval of the original activations.
- * For example, to get the first 10 activations of a layer (or, first 10 features out of a CNN layer) use
- * {@code new SubsetVertex(0,9)}

- * In the case of convolutional (4d) activations, this is done along channels.
- *
- * @author Alex Black
- */
 @Data
 public class SubsetVertex extends GraphVertex {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/UnstackVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/UnstackVertex.java
index 910db350c..cc154ebf5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/UnstackVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/UnstackVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph;
 
@@ -28,15 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * UnstackVertex allows for unstacking of inputs so that they may be forwarded through
- * a network. This is useful for cases such as Triplet Embedding, where embeddings can
- * be separated and run through subsequent layers.
- *
- * Works similarly to SubsetVertex, except on dimension 0 of the input.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Getter
 public class UnstackVertex extends GraphVertex {
     protected int from;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/DuplicateToTimeSeriesVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/DuplicateToTimeSeriesVertex.java
index 4560fd1f9..90b0cc337 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/DuplicateToTimeSeriesVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/DuplicateToTimeSeriesVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph.rnn;
 
@@ -28,18 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of
- * duplication. That is, given a 2d input with shape [numExamples,nIn] duplicate each row to give output of
- * [numExamples,nIn,timeSeriesLength], where the activations are the same for all time steps.

- * This method is used for example in sequence to sequence models.

- * Note: The length of the output time series (number of time steps) is determined by means of referencing one of the
- * inputs in the ComputationGraph. That is: Because the length of the time series may differ at runtime, we generally want the number
- * of time steps to match some other input; here, we are specifying the length of the output time series to be the same as
- * one of the input time series

- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = false)
 public class DuplicateToTimeSeriesVertex extends GraphVertex {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/LastTimeStepVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/LastTimeStepVertex.java
index b95dccc9b..d25855787 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/LastTimeStepVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/LastTimeStepVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph.rnn;
 
@@ -27,15 +31,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/** LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series)
- * activations to 2d activations, by extracting out the last time step of activations for each example.

- * This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
- * NOTE: Because RNNs may have masking arrays (to allow for examples/time series of different lengths in the same
- * minibatch), it is necessary to provide the same of the network input that has the corresponding mask array. If this
- * input does not have a mask array, the last time step of the input will be used for all examples; otherwise, the time
- * step of the last non-zero entry in the mask array (for each example separately) will be used.
- * @author Alex Black
- */
 @Data
 public class LastTimeStepVertex extends GraphVertex {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/ReverseTimeSeriesVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/ReverseTimeSeriesVertex.java
index eb4fccb19..97ec9b644 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/ReverseTimeSeriesVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/rnn/ReverseTimeSeriesVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.graph.rnn;
 
@@ -26,20 +30,6 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * ReverseTimeSeriesVertex is used in recurrent neural networks to revert the order of time series.
- * As a result, the last time step is moved to the beginning of the time series and the first time step
- * is moved to the end. This allows recurrent layers to backward process time series.

- *
- * Masks: The input might be masked (to allow for varying time series lengths in one minibatch). In this case the
- * present input (mask array = 1) will be reverted in place and the padding (mask array = 0) will be left untouched at
- * the same place. For a time series of length n, this would normally mean, that the first n time steps are reverted and
- * the following padding is left untouched, but more complex masks are supported (e.g. [1, 0, 1, 0, ...].

- * Note: In order to use mask arrays, the {@link #ReverseTimeSeriesVertex(String) constructor} must be called with
- * the name of an network input. The mask of this input is then used in this vertex, too.
- *
- * @author Klaus Broelemann (SCHUFA Holding AG)
- */
 @Data
 public class ReverseTimeSeriesVertex extends GraphVertex {
     private final String maskArrayInputName;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InputType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InputType.java
index 5178adb6a..c3317e4ea 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InputType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InputType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.inputs;
 
@@ -36,14 +40,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 import java.io.Serializable;
 import java.util.Arrays;
 
-/**
- * The InputType class is used to track and define the types of activations etc used in a ComputationGraph.
- * This is most useful for automatically adding preprocessors between layers, and automatically setting nIn values.
- * See: {@link org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder#setInputTypes(InputType...)} and
- * {@link org.deeplearning4j.nn.conf.ComputationGraphConfiguration#addPreProcessors(InputType...)}
- *
- * @author Alex Black
- */
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @Slf4j
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InvalidInputTypeException.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InvalidInputTypeException.java
index 18b39c5f8..a66e5a200 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InvalidInputTypeException.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/inputs/InvalidInputTypeException.java
@@ -1,25 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.inputs;
 
 
-/**
- * InvalidInputTypeException: Thrown if the GraphVertex cannot handle the type of input provided.
- */
 public class InvalidInputTypeException extends RuntimeException {
 
     public InvalidInputTypeException(String message) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AbstractLSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AbstractLSTM.java
index b051c4b36..94cfe157f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AbstractLSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AbstractLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -21,10 +25,6 @@ import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.activations.impl.ActivationSigmoid;
 
-/**
- * LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ActivationLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ActivationLayer.java
index c4aaadc98..0fb559c74 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ActivationLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ActivationLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,9 +38,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Activation layer is a simple layer that applies the specified activation function to the input activations
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AutoEncoder.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AutoEncoder.java
index 69788c5a3..09f14e034 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AutoEncoder.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/AutoEncoder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -31,9 +35,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Autoencoder layer. Adds noise to input and learn a reconstruction function.
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseLayer.java
index 7abe0da06..fc751e91b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java
index e8de58d9f..8231f2e2f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BasePretrainNetwork.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BasePretrainNetwork.java
index d53927b9e..5834f7a0a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BasePretrainNetwork.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BasePretrainNetwork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseRecurrentLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseRecurrentLayer.java
index 6237600a3..d8e55c19c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseRecurrentLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseRecurrentLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java
index 057aaa8ab..b92ad390f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BatchNormalization.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BatchNormalization.java
index dcced3aeb..2dd228b0e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BatchNormalization.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BatchNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -41,11 +45,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Batch normalization layer
 See: Ioffe and Szegedy, 2014, Batch Normalization: Accelerating Deep Network
- * Training by Reducing Internal Covariate Shift
- * https://arxiv.org/abs/1502.03167
- */
 @Data
 @ToString(callSuper = true)
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleLayer.java
index 5769f2a83..548883015 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,15 +38,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Map;
 
-/**
- * An implementation of the DigiCaps layer from Dynamic Routing Between Capsules
- *
- * Input should come from a PrimaryCapsules layer and be of shape [mb, inputCaps, inputCapDims].
- *
- * From Dynamic Routing Between Capsules
- *
- * @author Ryan Nett
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleStrengthLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleStrengthLayer.java
index 4664a86a0..bd75b863e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleStrengthLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CapsuleStrengthLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -26,17 +30,6 @@ import org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * An layer to get the "strength" of each capsule, that is, the probability of it being in the input.
- * This is the vector length or L2 norm of each capsule's output.
- * The lengths will not exceed one because of the squash function.
- *
- * Input should come from a Capsule Layer and be of shape [mb, capsules, capsuleDims]
- *
- * CapsNet is from Dynamic Routing Between Capsules
- *
- * @author Ryan Nett
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CenterLossOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CenterLossOutputLayer.java
index 34213038a..43cc2e9b0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CenterLossOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CenterLossOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -36,17 +40,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Center loss is similar to triplet loss except that it enforces intraclass consistency and doesn't require feed
- * forward of multiple examples. Center loss typically converges faster for training ImageNet-based convolutional
- * networks.
- *
- * "If example x is in class Y, ensure that embedding(x) is close to {@code average(embedding(y))} for all examples y in
- * Y"
- *
- * @author Justin Long (@crockpotveggies)
- * @author Alex Black (@AlexDBlack)
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Cnn3DLossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Cnn3DLossLayer.java
index 1bde3d912..774397ede 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Cnn3DLossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Cnn3DLossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,27 +38,6 @@ import org.nd4j.linalg.lossfunctions.ILossFunction;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * 3D Convolutional Neural Network Loss Layer.
 Handles calculation of gradients etc for various loss (objective)
- * functions.
 NOTE: Cnn3DLossLayer does not have any parameters. Consequently, the output activations size is equal
- * to the input size.
 Input and output activations are same as 3D CNN layers: 5 dimensions with one of two possible
- * shape, depending on the data format:
 NCDHW ("channels first") format: data has shape
- * [miniBatchSize,channels,depth,height,width]
 NDHWC ("channels last") format: data has shape
- * [miniBatchSize,channels,depth,height,width]
 Cnn3DLossLayer has support for a built-in activation function (tanh,
- * softmax etc) - if this is not required, set activation function to Activation.IDENTITY. For activations such as
- * softmax, note that this is applied channel-wise: that is, softmax is applied along dimension 1 for NCDHW, or
- * dimension 4 for NDHWC for each minibatch, and x/y/z location separately.

- * 

- * Note that multiple types of masking are supported. Mask arrays (when present) must be 5d in a 'broadcastable' format:
- * that is, for (n=minibatchSize, c=channels, d=depth, h=height, w=width):
 - Per example masking: Where an example
- * is present or not (and all outputs are masked by it). Mask shape [n,1,1,1,1] for both NCDHW and NDHWC
 - Per x/y/z
- * location masking: where each spatial X/Y/Z location is present or not (all channels at a given x/y/z are masked by
- * it). Mask shape: [n,1,d,h,w] (NCDHW format) or [n,d,h,w,1] (NDHWC format).
 - Per output masking: Where each
- * output activation value is present or not - mask shape [n,c,d,h,w] (NCDHW format) or [n,d,h,w,c] (NDHWC format) -
- * same as input/output in both cases

- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CnnLossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CnnLossLayer.java
index 647b187e3..0b31dd703 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CnnLossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/CnnLossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -39,23 +43,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Convolutional Neural Network Loss Layer.
 Handles calculation of gradients etc for various loss (objective)
- * functions.
 NOTE: CnnLossLayer does not have any parameters. Consequently, the output activations size is equal to
- * the input size.
 Input and output activations are same as other CNN layers: 4 dimensions with shape
- * [miniBatchSize,channels,height,width]
 CnnLossLayer has support for a built-in activation function (tanh, softmax
- * etc) - if this is not required, set activation function to Activation.IDENTITY. For activations such as softmax, note
- * that this is applied channel-wise: that is, softmax is applied along dimension 1 (channel) for each minibatch, and
- * x/y location separately.

- * 

- * Note that 3 types of masking are supported, where (n=minibatchSize, c=channels, h=height, w=width):
 - Per example
- * masking: Where an example is present or not (and all outputs are masked by it). Mask shape [n,1]
 - Per x/y
- * location masking: where each spatial X/Y location is present or not (all channels at a given x/y are masked by it).
- * Mask shape: [n,h,w].
 - Per output masking: Where each output activation value is present or not - mask shape
- * [n,c,h,w] (same as output)

- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1D.java
index 00650e464..e4ab7f9ef 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode;
 import lombok.NoArgsConstructor;
 import lombok.ToString;
 
-/**
- * 1D convolution layer. Expects input activations of shape [minibatch,channels,sequenceLength]
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1DLayer.java
index cc958f8cf..1bd0e5172 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,11 +39,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * 1D (temporal) convolutional layer. This layer accepts RNN InputTypes instead of CNN InputTypes
- *
- * @author dave@skymind.io
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution2D.java
index 13af9e1c4..865c6b9ed 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode;
 import lombok.NoArgsConstructor;
 import lombok.ToString;
 
-/**
- * 2D convolution layer
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution3D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution3D.java
index dc88116e5..f012b0008 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution3D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Convolution3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,11 +39,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * 3D convolution layer configuration
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ConvolutionLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ConvolutionLayer.java
index 5a07470e2..016f5e7aa 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ConvolutionLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ConvolutionLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -37,12 +41,6 @@ import java.util.Collection;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * 2D Convolution layer (for example, spatial convolution over images). Input activations should be format {@code
- * [minibatch, channels, height, width]}
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution2D.java
index b2f64c894..e4f789ab7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -36,19 +40,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * 2D deconvolution layer configuration

- *
- * Deconvolutions are also known as transpose convolutions or fractionally strided convolutions. In essence,
- * deconvolutions swap forward and backward pass with regular 2D convolutions.
- *
- * See the paper by Matt Zeiler for details: http://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf
- *
- * For an intuitive guide to convolution arithmetic and shapes, see:
- * https://arxiv.org/abs/1603.07285v1
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java
index 01bd3ca83..9f96b25da 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -38,19 +42,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * 3D deconvolution layer configuration

- *
- * Deconvolutions are also known as transpose convolutions or fractionally strided convolutions. In essence,
- * deconvolutions swap forward and backward pass with regular 3D convolutions.
- *
- * See the paper by Matt Zeiler for details: http://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf
- *
- * For an intuitive guide to convolution arithmetic and shapes, see:
- * https://arxiv.org/abs/1603.07285v1
- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DenseLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DenseLayer.java
index 67cac076d..d77f13e5c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DenseLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DenseLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -31,9 +35,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Dense layer: a standard fully connected feed forward layer
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DepthwiseConvolution2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DepthwiseConvolution2D.java
index 7edf65618..d412c7158 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DepthwiseConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DepthwiseConvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -33,15 +37,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.*;
 
-/**
- * 2D depth-wise convolution layer configuration.
- * 

- * Performs a channels-wise convolution, which operates on each of the input maps separately. A channel multiplier is
- * used to specify the number of outputs per input map. This convolution is carried out with the specified kernel sizes,
- * stride and padding values.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DropoutLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DropoutLayer.java
index 94cad0a98..fa20692be 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DropoutLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/DropoutLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,13 +39,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Dropout layer. This layer simply applies dropout at training time, and passes activations through unmodified at test
- * time. Internally, this uses an {@link IDropout} instance. See the IDropout instances for details:
 {@link
- * Dropout}
 {@link org.nd4j.linalg.api.ops.random.impl.AlphaDropOut}
 {@link
- * org.deeplearning4j.nn.conf.dropout.GaussianDropout}
 {@link org.deeplearning4j.nn.conf.dropout.GaussianNoise}

- * {@link org.deeplearning4j.nn.conf.dropout.SpatialDropout}
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java
index 6478b6d59..67199aa64 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -37,19 +41,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to
- * numClass-1) as input. This input has shape {@code [numExamples,1]} instead of {@code [numExamples,numClasses]} for
- * the equivalent one-hot representation. Mathematically, EmbeddingLayer is equivalent to using a DenseLayer with a
- * one-hot representation for the input; however, it can be much more efficient with a large number of classes (as a
- * dense layer + one-hot input does a matrix multiply with all but one value being zero).

- * Note: can only be used as the first layer for a network

- * Note 2: For a given example index i, the output is activationFunction(weights.getRow(i) + bias), hence the
- * weight rows can be considered a vector/embedding for each example.
 Note also that embedding layer has an
- * activation function (set to IDENTITY to disable) and optional bias (which is disabled by default)
- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingSequenceLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingSequenceLayer.java
index e52883779..ea7b4e6bf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingSequenceLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingSequenceLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -38,18 +42,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Embedding layer for sequences: feed-forward layer that expects fixed-length number (inputLength) of integers/indices
- * per example as input, ranged from 0 to numClasses - 1. This input thus has shape [numExamples, inputLength] or shape
- * [numExamples, 1, inputLength].
 The output of this layer is 3D (sequence/time series), namely of shape
- * [numExamples, nOut, inputLength].
- * Note: can only be used as the first layer for a network

- * Note 2: For a given example index i, the output is activationFunction(weights.getRow(i) + bias), hence the
- * weight rows can be considered a vector/embedding of each index.
 Note also that embedding layer has an activation
- * function (set to IDENTITY to disable) and optional bias (which is disabled by default)
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java
index 751637913..8e8fd62a3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -25,9 +29,6 @@ import org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.params.DefaultParamInitializer;
 
-/**
- * Created by jeffreytang on 7/21/15.
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GlobalPoolingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GlobalPoolingLayer.java
index d9e10e6f5..cdf92720a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GlobalPoolingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GlobalPoolingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,31 +38,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Global pooling layer - used to do pooling over time for RNNs, and 2d pooling for CNNs.
 Supports the following
- * {@link PoolingType}s: SUM, AVG, MAX, PNORM

- *
- * Global pooling layer can also handle mask arrays when dealing with variable length inputs. Mask arrays are assumed to
- * be 2d, and are fed forward through the network during training or post-training forward pass:
 - Time series: mask
- * arrays are shape [miniBatchSize, maxTimeSeriesLength] and contain values 0 or 1 only
 - CNNs: mask have shape
- * [miniBatchSize, height] or [miniBatchSize, width]. Important: the current implementation assumes that for CNNs +
- * variable length (masking), the input shape is [miniBatchSize, channels, height, 1] or [miniBatchSize, channels, 1,
- * width] respectively. This is the case with global pooling in architectures like CNN for sentence classification.

- * 

- *
- * Behaviour with default settings:
 - 3d (time series) input with shape [miniBatchSize, vectorSize,
- * timeSeriesLength] -> 2d output [miniBatchSize, vectorSize]
 - 4d (CNN) input with shape [miniBatchSize, channels,
- * height, width] -> 2d output [miniBatchSize, channels]
 - 5d (CNN3D) input with shape [miniBatchSize, channels,
- * depth, height, width] -> 2d output [miniBatchSize, channels]

- *
- * 

- * Alternatively, by setting collapseDimensions = false in the configuration, it is possible to retain the reduced
- * dimensions as 1s: this gives
 - [miniBatchSize, vectorSize, 1] for RNN output,
 - [miniBatchSize, channels, 1,
- * 1] for CNN output, and
 - [miniBatchSize, channels, 1, 1, 1] for CNN3D output.

- * 

- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class GlobalPoolingLayer extends NoParamLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesBidirectionalLSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesBidirectionalLSTM.java
index 1a2a89a24..102c0c008 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesBidirectionalLSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesBidirectionalLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,16 +38,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.*;
 
-/**
- * Bidirectional LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- *
- * @deprecated use {@link org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional} instead. With the Bidirectional
- * layer wrapper you can make any recurrent layer bidirectional, in particular GravesLSTM. Note that this layer adds the
- * output of both directions, which translates into "ADD" mode in Bidirectional.
- *
- * Usage: {@code .layer(new Bidirectional(Bidirectional.Mode.ADD, new GravesLSTM.Builder()....build()))}
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesLSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesLSTM.java
index 60fe918a8..e12d6df22 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesLSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/GravesLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -36,15 +40,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- *
- * @author Alex Black
- * @see LSTM LSTM class, for the version without peephole connections
- * @deprecated Will be eventually removed. Use {@link LSTM} instead, which has similar prediction accuracy, but supports
- * CuDNN for faster network training on CUDA (Nvidia) GPUs
- */
 @Deprecated
 @Data
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java
index 4f07669bf..417edd8ce 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -28,14 +32,10 @@ import org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor;
 import org.nd4j.common.base.Preconditions;
+import org.nd4j.common.primitives.Counter;
 
 import java.util.Arrays;
 
-/**
- * Utilities for calculating input types
- *
- * @author Alex Black
- */
 @Slf4j
 public class InputTypeUtil {
 
@@ -575,4 +575,65 @@ public class InputTypeUtil {
         }
     }
 
+    /**
+     * Convert multiple types when multiple are found.
+     * Only handles simple obvious cases, otherwise errs on throwing an exception.
+     * Useful for multiple input vertices such as {@link org.deeplearning4j.nn.conf.graph.MergeVertex}
+     *  and {@link org.deeplearning4j.nn.conf.graph.ElementWiseVertex}
+     * @param vertexInputs the input types to convert
+     */
+    public static void convertMultipleTypes(InputType[] vertexInputs) {
+        Counter counter = new Counter<>();
+        for(int i = 0; i < vertexInputs.length; i++) {
+            counter.incrementCount(vertexInputs[i].getType(),1.0);
+        }
+
+        InputType.Type maxType = counter.argMax();
+        //more than one type
+        //convert feed forward to rnn and back
+        if(counter.size() > 1) {
+            switch(maxType) {
+                case  FF:
+                    for(int i = 0; i < vertexInputs.length; i++) {
+                        if(vertexInputs[i].getType() != maxType) {
+                            switch(vertexInputs[i].getType()) {
+                                case RNN:
+                                    InputType.InputTypeRecurrent recurrent = (InputType.InputTypeRecurrent) vertexInputs[i];
+                                    if(recurrent.getTimeSeriesLength() == 1) {
+                                        vertexInputs[i] = InputType.feedForward(recurrent.getSize());
+                                    }
+                                    break;
+                                default:
+                                    throw new IllegalArgumentException("Attempted conversion of types and was unable to");
+                            }
+                        }
+                    }
+                    break;
+                case RNN:
+                    RNNFormat rnnFormat = null;
+                    for(int i = 0; i < vertexInputs.length; i++) {
+                        if(vertexInputs[i].getType() == InputType.Type.RNN) {
+                            InputType.InputTypeRecurrent firstRecurrent = (InputType.InputTypeRecurrent)  vertexInputs[i];
+                            rnnFormat = firstRecurrent.getFormat();
+                            break;
+
+                        }
+                    }
+                    for(int i = 0; i < vertexInputs.length; i++) {
+                        if(vertexInputs[i].getType() != maxType) {
+                            switch(vertexInputs[i].getType()) {
+                                case FF:
+                                    InputType.InputTypeFeedForward ff = (InputType.InputTypeFeedForward) vertexInputs[i];
+                                    vertexInputs[i] =  InputType.recurrent(ff.getSize(),rnnFormat);
+                                    break;
+                                default:
+                                    throw new IllegalArgumentException("Attempted conversion of types and was unable to");
+
+                            }
+                        }
+                    }
+                    break;
+            }
+        }
+    }
 }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LSTM.java
index ba0b52d8c..0f0d61fc3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -36,13 +40,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * LSTM recurrent neural network layer without peephole connections. Supports CuDNN acceleration - see https://deeplearning4j.konduit.ai/config/backends/config-cudnn for details
- *
- * @author Alex Black
- * @see GravesLSTM GravesLSTM class for an alternative LSTM (with peephole connections)
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Layer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Layer.java
index 25577bd1f..5b677ff26 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Layer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Layer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LayerValidation.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LayerValidation.java
index a63cfed88..55713cc08 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LayerValidation.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LayerValidation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -28,11 +32,6 @@ import java.util.ArrayList;
 import java.util.HashSet;
 import java.util.List;
 
-/**
- * Utility methods for validating layer configurations
- *
- * @author Alex Black
- */
 @Slf4j
 public class LayerValidation {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LearnedSelfAttentionLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LearnedSelfAttentionLayer.java
index 8ddd20b45..f469a7f8c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LearnedSelfAttentionLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LearnedSelfAttentionLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,28 +39,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Map;
 
-/**
- * Implements Dot Product Self Attention with learned queries
- *
- * Takes in RNN style input in the shape of [batchSize, features, timesteps]
- * and applies dot product attention using learned queries.
- *
- * The output will be in the shape of [batchSize, nOut, nQueries]. If input
- * masks are used, they are applied to the input here and not propagated any
- * further as now the time steps are given by the configured query count.
- *
- * While not an exact implementation of the paper, this is inspired by
- * A Structured Self-attentive Sentence Embedding by Lin et al. [arXiv:1703.03130]
- *
- * Attention itself implemented as in
- * Attention is all you need by Vaswani et al. [arXiv:1706.03762], pp. 4,5
- *
- * @see SelfAttentionLayer
- * @see RecurrentAttentionLayer
- * @see org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention
- *
- * @author Paul Dubs
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class LearnedSelfAttentionLayer extends SameDiffLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocalResponseNormalization.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocalResponseNormalization.java
index ebfc56a7b..8648a2814 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocalResponseNormalization.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocalResponseNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -36,9 +40,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Local response normalization layer
 See section 3.3 of http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected1D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected1D.java
index a5028f08a..1d0dcf90b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected1D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -41,11 +45,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 
 import java.util.*;
 
-/**
- * SameDiff version of a 1D locally connected layer.
- *
- * @author Max Pumperla
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonIgnoreProperties({"paramShapes"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java
index b65d2fe77..630226231 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -41,12 +45,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 
 import java.util.*;
 
-/**
- * SameDiff version of a 2D locally connected layer.
- *
- *
- * @author Max Pumperla
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonIgnoreProperties({"paramShapes"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LossLayer.java
index e26dbd83f..e88a66298 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -37,14 +41,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * LossLayer is a flexible output layer that performs a loss function on an input without MLP logic.
 LossLayer is
- * similar to {@link OutputLayer} in that both perform loss calculations for network outputs vs. labels, but LossLayer
- * does not have any parameters. Consequently, setting nIn/nOut isn't supported - the output size is the same size as
- * the input activations.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/NoParamLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/NoParamLayer.java
index f8b647eb4..227650a5f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/NoParamLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/NoParamLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/OutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/OutputLayer.java
index 75d864605..d31ff854a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/OutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/OutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,12 +38,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Output layer used for training via backpropagation based on labels and a specified loss function. Can be configured
- * for both classification and regression. Note that OutputLayer has parameters - it contains a fully-connected layer
- * (effectively contains a DenseLayer) internally. This allows the output size to be different to the layer input size.
- * OutputLayer is equivalent to ({@link DenseLayer} + {@link LossLayer})
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PReLULayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PReLULayer.java
index b9b8bca4d..289009ad7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PReLULayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PReLULayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -33,15 +37,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Parametrized Rectified Linear Unit (PReLU)
- * 

- * {@code f(x) = alpha * x for x < 0, f(x) = x for x >= 0}
- * 

- * alpha has the same shape as x and is a learned parameter.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling1D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling1D.java
index 78ae7a36d..e06f825dc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling1D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling2D.java
index a9a3076c5..87bdd59e0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Pooling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PoolingType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PoolingType.java
index 38c9ad4b7..b3ecd49a0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PoolingType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PoolingType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PrimaryCapsules.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PrimaryCapsules.java
index ff4e1cf76..033b96470 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PrimaryCapsules.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/PrimaryCapsules.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,15 +39,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Map;
 
-/**
- * An implementation of the PrimaryCaps layer from Dynamic Routing Between Capsules
- *
- * Is a reshaped 2D convolution, and the input should be 2D convolutional ([mb, c, h, w]).
- *
- * From Dynamic Routing Between Capsules
- *
- * @author Ryan Nett
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RecurrentAttentionLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RecurrentAttentionLayer.java
index 10659f326..161acc44e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RecurrentAttentionLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RecurrentAttentionLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -36,28 +40,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Map;
 
-/**
- * Implements Recurrent Dot Product Attention
- *
- * Takes in RNN style input in the shape of [batchSize, features, timesteps]
- * and applies dot product attention using the hidden state as the query and
- * all time steps as keys/values.
- *
- * a_i = σ(W*x_i + R*attention(a_i, x, x) + b)
- *
- * The output will be in the shape of [batchSize, nOut, timesteps].
- *
- * Attention implemented as in
- * Attention is all you need by Vaswani et al. [arXiv:1706.03762], pp. 4,5
- *
- * Note: At the moment this is limited to equal-length mini-batch input. Mixing mini-batches of differing timestep
- * counts will not work.
- *
- * @see LearnedSelfAttentionLayer
- * @see SelfAttentionLayer
- * @see org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention
- * @author Paul Dubs
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class RecurrentAttentionLayer extends SameDiffLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnLossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnLossLayer.java
index f1dcd73a6..376886cc4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnLossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnLossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -38,17 +42,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Recurrent Neural Network Loss Layer.
 Handles calculation of gradients etc for various objective (loss)
- * functions.
 Note: Unlike {@link RnnOutputLayer} this RnnLossLayer does not have any parameters - i.e., there is no
- * time distributed dense component here. Consequently, the output activations size is equal to the input size.

- * Input and output activations are same as other RNN layers: 3 dimensions with shape
- * [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.
 Note that
- * RnnLossLayer also has the option to configure an activation function
- *
- * @author Alex Black
- * @see RnnOutputLayer
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnOutputLayer.java
index e35498e37..9f17c2cee 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/RnnOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -37,15 +41,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * A version of {@link OutputLayer} for recurrent neural networks. Expects inputs of size [minibatch,nIn,sequenceLength]
- * and labels of shape [minibatch,nOut,sequenceLength]. It also supports mask arrays.
- * 

- * Note that RnnOutputLayer can also be used for 1D CNN layers, which also have [minibatch,nOut,sequenceLength]
- * activations/labels shape.
- *
- * See also: {@link RnnLossLayer}
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SelfAttentionLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SelfAttentionLayer.java
index 79fa765a4..3bf4453c5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SelfAttentionLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SelfAttentionLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -32,23 +36,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Map;
 
-/**
- * Implements Dot Product Self Attention
- *
- * Takes in RNN style input in the shape of [batchSize, features, timesteps]
- * and applies dot product attention using each timestep as the query.
- *
- * The output will be in the shape of [batchSize, nOut, timesteps].
- *
- * Attention implemented as in
- * Attention is all you need by Vaswani et al. [arXiv:1706.03762], pp. 4,5
- *
- * @see LearnedSelfAttentionLayer
- * @see RecurrentAttentionLayer
- * @see org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention
- *
- * @author Paul Dubs
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class SelfAttentionLayer extends SameDiffLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SeparableConvolution2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SeparableConvolution2D.java
index af4d05d89..a6efb86b1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SeparableConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SeparableConvolution2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -33,24 +37,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.*;
 
-/**
- * 2D Separable convolution layer configuration.
- *
- * Separable convolutions split a regular convolution operation into two simpler operations, which are usually
- * computationally more efficient.
- *
- * The first step in a separable convolution is a channels-wise convolution, which operates on each of the input maps
- * separately. A channels multiplier is used to specify the number of outputs per input map in this step. This
- * convolution is carried out with the specified kernel sizes, stride and padding values.
- *
- * The second step is a point-wise operation, in which the intermediary outputs of the channels-wise convolution are
- * mapped to the desired number of feature maps, by using a 1x1 convolution.
- *
- * The result of chaining these two operations will result in a tensor of the same shape as that for a standard conv2d
- * operation.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToBatchLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToBatchLayer.java
index 042f09121..b8de7a4e4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToBatchLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToBatchLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,29 +38,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Space to batch utility layer configuration for convolutional input types.
- * 

- * Does a 2-dimensional space to batch operation, i.e. ransforms data from a tensor from 2 spatial dimensions into batch
- * dimension according to the "blocks" specified (a vector of length 2). Afterwards the spatial dimensions are
- * optionally padded, as specified in "padding", a tensor of dim (2, 2), denoting the padding range.
- * 

- * Example:
- * 
- * input:         [[[[1], [2]], [[3], [4]]]]
- * input shape:   [1, 2, 2, 1]
- * blocks:        [2, 2]
- * padding:       [[0, 0], [0, 0]]
- * 

- * 

- * 
- * output:        [[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
- * output shape:  [4, 1, 1, 1]
- * 

- * Note that after zero padding, the height and width of the input must be divisible by the block size.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToDepthLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToDepthLayer.java
index 53d9007be..b35092359 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToDepthLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SpaceToDepthLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -32,25 +36,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Space to channels utility layer configuration for convolutional input types.
- * 

- * This operation takes 4D array in, in either NCHW or NHWC format, and moves data from spatial dimensions (HW) to
- * channels (C) for given blockSize.
 The idea is that blocks of the input of size [blockSize,blockSize] are moved
- * from the spatial dimension to the depth dimension.
 Thus, for NCHW input format, input shape {@code [mb,
- * inChannels, H, W]}, output has shape {@code [mb, inChannels * blockSize * blockSize, H/blockSize, W/blockSize]}
- * 

- * Example:
- * 
- * blockSize = 4
- * dataFormat = "NCHW"
- * input shape =  [128, 16, 16, 3]
- * output shape = [128, 16/4, 16/4, 3*4*4]
- * 

- *
- * @author Max Pumperla
- */
-
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling1DLayer.java
index cda4f3b4a..267e67005 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,14 +39,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * 1D (temporal) subsampling layer - also known as pooling layer.
 Expects input of shape {@code [minibatch, nIn,
- * sequenceLength]}. This layer accepts RNN InputTypes instead of CNN InputTypes.

- *
- * Supports the following pooling types: MAX, AVG, SUM, PNORM
- *
- * @author dave@skymind.io
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling3DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling3DLayer.java
index 67a2e804c..2175c58ab 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling3DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Subsampling3DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -39,13 +43,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * 3D subsampling / pooling layer for convolutional neural networks
- * 

- * Supports max and average pooling modes
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SubsamplingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SubsamplingLayer.java
index 333a3c02e..f0ebd4e7a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SubsamplingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/SubsamplingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -37,14 +41,6 @@ import org.nd4j.shade.jackson.annotation.JsonIgnore;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Subsampling layer also referred to as pooling in convolution neural nets
- *
- * Supports the following pooling types: MAX, AVG, SUM, PNORM
- *
- * @author Adam Gibson
- */
-
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling1D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling1D.java
index 4b39fa34d..3af2e9d55 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling1D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -35,21 +39,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Upsampling 1D layer
 Repeats each step {@code size} times along the temporal/sequence axis (dimension 2)
 For
- * input shape {@code [minibatch, channels, sequenceLength]} output has shape {@code [minibatch, channels, size *
- * sequenceLength]}
 Example:
- * 
- * If input (for a single example, with channels down page, and sequence from left to right) is:
- * [ A1, A2, A3]
- * [ B1, B2, B3]
- * Then output with size = 2 is:
- * [ A1, A1, A2, A2, A3, A3]
- * [ B1, B1, B2, B2, B3, B2]
- * 

- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling2D.java
index 0357c3e7b..1e07cf836 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -33,25 +37,6 @@ import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Upsampling 2D layer
 Repeats each value (or rather, set of depth values) in the height and width dimensions by
- * size[0] and size[1] times respectively.
 If input has shape {@code [minibatch, channels, height, width]} then
- * output has shape {@code [minibatch, channels, height*size[0], width*size[1]]}
 Example:
- * 
- * Input (slice for one example and channel)
- * [ A, B ]
- * [ C, D ]
- * Size = [2, 2]
- * Output (slice for one example and channel)
- * [ A, A, B, B ]
- * [ A, A, B, B ]
- * [ C, C, D, D ]
- * [ C, C, D, D ]
- * 

- *
- * @author Max Pumperla
- */
-
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling3D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling3D.java
index 695212d89..984926ec1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling3D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Upsampling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -31,13 +35,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Upsampling 3D layer
 Repeats each value (all channel values for each x/y/z location) by size[0], size[1] and
- * size[2]
 If input has shape {@code [minibatch, channels, depth, height, width]} then output has shape {@code
- * [minibatch, channels, size[0] * depth, size[1] * height, size[2] * width]}
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding1DLayer.java
index a3345fde9..98f6f8077 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,11 +38,6 @@ import java.util.Arrays;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Zero padding 1D layer for convolutional neural networks. Allows padding to be done separately for top and bottom.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding3DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding3DLayer.java
index 8dfd594a6..f6b97cfcc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding3DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPadding3DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -33,12 +37,6 @@ import java.util.Arrays;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Zero padding 3D layer for convolutional neural networks. Allows padding to be done separately for "left" and "right"
- * in all three spatial dimensions.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPaddingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPaddingLayer.java
index ef92d2f85..459205609 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPaddingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/ZeroPaddingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers;
 
@@ -34,12 +38,6 @@ import java.util.Arrays;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Zero padding layer for convolutional neural networks (2D CNNs). Allows padding to be done separately for
- * top/bottom/left/right
- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping1D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping1D.java
index b10b0e716..ae71c3811 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping1D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.convolutional;
 
@@ -34,11 +38,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Cropping layer for convolutional (1d) neural networks. Allows cropping to be done separately for top/bottom
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping2D.java
index 3a13e2fc0..8ea2ea18e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.convolutional;
 
@@ -36,12 +40,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Cropping layer for convolutional (2d) neural networks. Allows cropping to be done separately for
- * top/bottom/left/right
- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping3D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping3D.java
index 74710a469..df3137629 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping3D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/convolutional/Cropping3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.convolutional;
 
@@ -34,12 +38,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Cropping layer for convolutional (3d) neural networks. Allows cropping to be done separately for upper and lower
- * bounds of depth, height and width dimensions.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/ElementWiseMultiplicationLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/ElementWiseMultiplicationLayer.java
index ef88dc8b7..79ab2ca54 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/ElementWiseMultiplicationLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/ElementWiseMultiplicationLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.misc;
 
@@ -33,14 +37,6 @@ import java.util.Collection;
 import java.util.Map;
 
 
-/**
- * Elementwise multiplication layer with weights: implements {@code out = activationFn(input .* w + b)} where:
 - w
- * is a learnable weight vector of length nOut
 - ".*" is element-wise multiplication
 - b is a bias vector

- * 

- * Note that the input and output sizes of the element-wise layer are the same for this layer
- * 

- * created by jingshu
- */
 @Data
 @ToString(callSuper = true)
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayer.java
index f72da09e5..89c543ba2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.misc;
 
@@ -39,13 +43,6 @@ import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * FrozenLayer is used for the purposes of transfer learning.
 A frozen layer wraps another DL4J Layer within it.
- * During backprop, the FrozenLayer is skipped, and any parameters are not be updated. Usually users will typically not
- * create FrozenLayer instances directly - they are usually used in the process of performing transfer learning
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = false)
 public class FrozenLayer extends Layer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayerWithBackprop.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayerWithBackprop.java
index 468c31032..a48f41b98 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayerWithBackprop.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/FrozenLayerWithBackprop.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.misc;
 
@@ -33,12 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * Frozen layer freezes parameters of the layer it wraps, but allows the backpropagation to continue.
- * 
- * @author Ugljesa Jovanovic (jovanovic.ugljesa@gmail.com) on 06/05/2018.
- * @see FrozenLayer
- */
 @Data
 public class FrozenLayerWithBackprop extends BaseWrapperLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/RepeatVector.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/RepeatVector.java
index e7f252c4b..127502b68 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/RepeatVector.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/misc/RepeatVector.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.misc;
 
@@ -32,14 +36,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * RepeatVector layer configuration.
- *
- * RepeatVector takes a mini-batch of vectors of shape (mb, length) and a repeat factor n and outputs a 3D tensor of
- * shape (mb, n, length) in which x is repeated n times.
- *
- * @author Max Pumperla
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/BoundingBoxesDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/BoundingBoxesDeserializer.java
index dec2c6c33..004621bf1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/BoundingBoxesDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/BoundingBoxesDeserializer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.conf.layers.objdetect;
 
 import org.nd4j.linalg.api.buffer.DataBuffer;
@@ -27,11 +31,6 @@ import org.nd4j.shade.jackson.databind.JsonNode;
 
 import java.io.IOException;
 
-/**
- * Custom deserializer to handle change in format between beta6 (and earlier) and later versions
- *
- * @author Alex Black
- */
 public class BoundingBoxesDeserializer extends JsonDeserializer {
     @Override
     public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/Yolo2OutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/Yolo2OutputLayer.java
index 6ffb92978..2df05c32b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/Yolo2OutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/Yolo2OutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.objdetect;
 
@@ -44,32 +48,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Output (loss) layer for YOLOv2 object detection model, based on the papers: YOLO9000: Better, Faster, Stronger -
- * Redmon & Farhadi (2016) - https://arxiv.org/abs/1612.08242
 and

- * You Only Look Once: Unified, Real-Time Object Detection - Redmon et al. (2016) -
- * http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf
- * 

- * This loss function implementation is based on the YOLOv2 version of the paper. However, note that it doesn't
- * currently support simultaneous training on both detection and classification datasets as described in the YOlO9000
- * paper.

- *
- * Note: Input activations to the Yolo2OutputLayer should have shape: [minibatch, b*(5+c), H, W], where:
 b = number
- * of bounding boxes (determined by config - see papers for details)
 c = number of classes
 H = output/label
- * height
 W = output/label width

- * 

- * Important: In practice, this means that the last convolutional layer before your Yolo2OutputLayer should have output
- * depth of b*(5+c). Thus if you change the number of bounding boxes, or change the number of object classes, the number
- * of channels (nOut of the last convolution layer) needs to also change.
- * 

- * Label format: [minibatch, 4+C, H, W]
 Order for labels depth: [x1,y1,x2,y2,(class labels)]
 x1 = box top left
- * position
 y1 = as above, y axis
 x2 = box bottom right position
 y2 = as above y axis
 Note: labels are
- * represented as a multiple of grid size - for a 13x13 grid, (0,0) is top left, (13,13) is bottom right
 Note also
- * that mask arrays are not required - this implementation infers the presence or absence of objects in each grid cell
- * from the class labels (which should be 1-hot if an object is present, or all 0s otherwise).
- *
- * @author Alex Black
- */
 @Data
 public class Yolo2OutputLayer extends org.deeplearning4j.nn.conf.layers.Layer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
index 792e5633b..b20772ade 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.recurrent;
 
@@ -45,16 +49,6 @@ import java.util.Map;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 
-/**
- * Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.
 Note that
- * multiple different modes are supported - these specify how the activations should be combined from the forward and
- * backward RNN networks. See {@link Mode} javadoc for more details.
 Parameters are not shared here - there are 2
- * separate copies of the wrapped RNN layer, each with separate parameters.
- * 

- * Usage: {@code .layer(new Bidirectional(new LSTM.Builder()....build())}
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 @Data
 @EqualsAndHashCode(callSuper = true, exclude = {"initializer"})
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/LastTimeStep.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/LastTimeStep.java
index 52c048472..ce87b8051 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/LastTimeStep.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/LastTimeStep.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.recurrent;
 
@@ -27,15 +31,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Collection;
 
-/**
- * LastTimeStep is a "wrapper" layer: it wraps any RNN (or CNN1D) layer, and extracts out the last time step during forward pass,
- * and returns it as a row vector (per example). That is, for 3d (time series) input (with shape [minibatch, layerSize,
- * timeSeriesLength]), we take the last time step and return it as a 2d array with shape [minibatch, layerSize].

- * Note that the last time step operation takes into account any mask arrays, if present: thus, variable length time
- * series (in the same minibatch) are handled as expected here.
- *
- * @author Alex Black
- */
 public class LastTimeStep extends BaseWrapperLayer {
 
     private LastTimeStep() {}
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/SimpleRnn.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/SimpleRnn.java
index 7bc91c17e..438c98ad8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/SimpleRnn.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/SimpleRnn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.recurrent;
 
@@ -35,16 +39,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Simple RNN - aka "vanilla" RNN is the simplest type of recurrent neural network layer. It implements {@code out_t =
- * activationFn( in_t * inWeight + out_(t-1) * recurrentWeights + bias)}.
- *
- * Note that other architectures (LSTM, etc) are usually much more effective, especially for longer time series; however
- * SimpleRnn is very fast to compute, and hence may be considered where the length of the temporal dependencies in the
- * dataset are only a few steps long.
- *
- * @author Alex Black
- */
 @Data
 public class SimpleRnn extends BaseRecurrentLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/TimeDistributed.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/TimeDistributed.java
index 5489ccc78..81e553509 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/TimeDistributed.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/TimeDistributed.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.conf.layers.recurrent;
 
 import lombok.Data;
@@ -17,15 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Collection;
 
-/**
- * TimeDistributed wrapper layer.

- * Note: only the "Feed forward layer time distributed in an RNN" is currently supported.
- * For example, a time distributed dense layer.

- * Usage: {@code .layer(new TimeDistributed(new DenseLayer.Builder()....build(), timeAxis))}

- * Note that for DL4J RNNs, time axis is always 2 - i.e., RNN activations have shape [minibatch, size, sequenceLength]
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class TimeDistributed extends BaseWrapperLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/AbstractSameDiffLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/AbstractSameDiffLayer.java
index 49453dd1f..aa1213ae1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/AbstractSameDiffLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/AbstractSameDiffLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDLayerParams.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDLayerParams.java
index d4bf4c32c..562a4e8f4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDLayerParams.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDLayerParams.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -28,11 +32,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 import java.io.Serializable;
 import java.util.*;
 
-/**
- * SDLayerParams is used to define the parameters for a Deeplearning4j SameDiff layer
- *
- * @author Alex Black
- */
 @JsonIgnoreProperties({"paramsList", "weightParamsList", "biasParamsList"})
 @NoArgsConstructor
 @Data
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDVertexParams.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDVertexParams.java
index f86396b3a..1a3c51c3a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDVertexParams.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SDVertexParams.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -22,11 +26,6 @@ import org.nd4j.common.base.Preconditions;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * SDVertexParams is used to define the inputs - and the parameters - for a SameDiff vertex
- *
- * @author Alex Black
- */
 @Data
 public class SDVertexParams extends SDLayerParams {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaLayer.java
index 7271d59ef..f3ac5b423 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -23,13 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- * SameDiffLambdaLayer is defined to be used as the base class for implementing lambda layers using SameDiff

- * Lambda layers are layers without parameters - and as a result, have a much simpler API - users need only
- * extend SameDiffLambdaLayer and implement a single method
- *
- * @author Alex Black
- */
 public abstract class SameDiffLambdaLayer extends SameDiffLayer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaVertex.java
index cfbcfcbc4..0e6d6ebb6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLambdaVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.*;
 
 
-/**
- * SameDiffLambdaVertex is defined to be used as the base class for implementing lambda vertices using SameDiff

- * Lambda vertices are vertices without parameters - and as a result, have a much simpler API - users need only
- * extend SameDiffLambdaVertex and implement a single method to define their vertex
- *
- * @author Alex Black
- */
 public abstract class SameDiffLambdaVertex extends SameDiffVertex {
 
     protected transient VertexInputs inputs;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayer.java
index f290a09f3..ea8fc2b09 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -33,25 +37,6 @@ import java.util.Collection;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * A base layer used for implementing Deeplearning4j layers using SameDiff. These layers are not scoring/output layers:
- * that is, they should be used as the intermediate layer in a network only.
 To implement an output layer, extend
- * {@link SameDiffOutputLayer} instead.
 Note also that if multiple inputs are required, it is possible to implement
- * a vertex instead: {@link SameDiffVertex}

- * 

- * To implement a Deeplearning layer using SameDiff, extend this class.
 There are 4 required methods:
 -
- * defineLayer: Defines the forward pass for the layer
 - defineParameters: Define the layer's parameters in a way
- * suitable for DL4J
 - initializeParameters: if required, set the initial parameter values for the layer
 -
- * getOutputType: determine the type of output/activations for the layer (without actually executing the layer's forward
- * pass)

- * 

- * Furthermore, there are 3 optional methods:
 - setNIn(InputType inputType, boolean override): if implemented, set
- * the number of inputs to the layer during network initialization
 - getPreProcessorForInputType: return the
- * preprocessor that should be added (if any), for the given input type
 - applyGlobalConfigToLayer: apply any global
- * configuration options (weight init, activation functions etc) to the layer's configuration.

- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public abstract class SameDiffLayer extends AbstractSameDiffLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayerUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayerUtils.java
index 63fa3694d..295d48b87 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayerUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffLayerUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.activations.IActivation;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Utility methods for DL4J SameDiff layers
- *
- * @author Alex Black
- */
 public class SameDiffLayerUtils {
 
     private static Map, Activation> activationMap;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffOutputLayer.java
index d6c4892f3..d781dd244 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -26,28 +30,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * A base layer used for implementing Deeplearning4j Output layers using SameDiff. These layers are scoring/output layers:
- * they should only be used as the final layer a network. For general/intermediate 

- * To implement a Deeplearinng layer using SameDiff, extend this class.

- * There are 5 required methods:

- * - defineLayer: Defines the forward pass for the layer

- * - defineParameters: Define the layer's parameters in a way suitable for DL4J

- * - initializeParameters: if required, set the initial parameter values for the layer

- * - getOutputType: determine the type of output/activations for the layer (without actually executing the layer's
- * forward pass)

- * - activationsVertexName(): see {@link #activationsVertexName()} for details

- * 

- * Furthermore, there are 3 optional methods:

- * - setNIn(InputType inputType, boolean override): if implemented, set the number of inputs to the layer during network
- *   initialization

- * - getPreProcessorForInputType: return the preprocessor that should be added (if any), for the given input type

- * - applyGlobalConfigToLayer: apply any global configuration options (weight init, activation functions etc) to the
- *   layer's configuration.

- * - labelsRequired: see {@link #labelsRequired()} for details

- *
- * @author Alex Black
- */
 public abstract class SameDiffOutputLayer extends AbstractSameDiffLayer {
 
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffVertex.java
index 795365cd3..b18aa1cc3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/samediff/SameDiffVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.samediff;
 
@@ -39,17 +43,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A SameDiff-based GraphVertex. May have multiple inputs, but only one output. Supports trainable parameters.

- * To implement a SameDiff vertex, implement the following methods:

- * - defineVertex: used to specify the vertex forward pass

- * - defineParametersAndInputs: used to specify the parameters and the number of inputs to the vertex

- * - initializeParameters: used to initialize (assign initial values to) the parameters
- *
- * @author Alex Black
- * @see SameDiffLayer
- * @see SameDiffOutputLayer
- */
 @Data
 public abstract class SameDiffVertex extends GraphVertex implements TrainingConfig {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskLayer.java
index 1eaa661df..181d32b4c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.util;
 
@@ -33,12 +37,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * MaskLayer applies the mask array to the forward pass activations, and backward pass gradients, passing through
- * this layer. It can be used with 2d (feed-forward), 3d (time series) or 4d (CNN) activations.
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class MaskLayer extends NoParamLayer {
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskZeroLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskZeroLayer.java
index fd9c64ba6..028ea2ccb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskZeroLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/util/MaskZeroLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.util;
 
@@ -33,12 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Collection;
 
-/**
- * Wrapper which masks timesteps with activation equal to the specified masking value (0.0 default). Assumes that the
- * input shape is [batch_size, input_size, timesteps].
- *
- * @author Martin Boyanov mboyanov@gmail.com
- */
 @Data
 public class MaskZeroLayer extends BaseWrapperLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/BernoulliReconstructionDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/BernoulliReconstructionDistribution.java
index 8671bef66..38cd30ff3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/BernoulliReconstructionDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/BernoulliReconstructionDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -30,15 +34,6 @@ import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 import org.nd4j.linalg.ops.transforms.Transforms;
 
-/**
- * Bernoulli reconstruction distribution for variational autoencoder.

- * Outputs are modelled by a Bernoulli distribution - i.e., the Bernoulli distribution should be used for binary data (all
- * values 0 or 1); the VAE models the probability of the output being 0 or 1.

- * Consequently, the sigmoid activation function should be used to bound activations to the range of 0 to 1. Activation
- * functions that do not produce outputs in the range of 0 to 1 (including relu, tanh, and many others) should be avoided.
- *
- * @author Alex Black
- */
 @Slf4j
 @Data
 public class BernoulliReconstructionDistribution implements ReconstructionDistribution {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/CompositeReconstructionDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/CompositeReconstructionDistribution.java
index 8b8937121..4cfc64d53 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/CompositeReconstructionDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/CompositeReconstructionDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -29,16 +33,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * CompositeReconstructionDistribution is a reconstruction distribution built from multiple other ReconstructionDistribution
- * instances.

- * The typical use is to combine for example continuous and binary data in the same model, or to combine different
- * distributions for continuous variables. In either case, this class allows users to model (for example) the first 10 values
- * as continuous/Gaussian (with a {@link GaussianReconstructionDistribution}, the next 10 values as binary/Bernoulli (with
- * a {@link BernoulliReconstructionDistribution})
- *
- * @author Alex Black
- */
 @Data
 public class CompositeReconstructionDistribution implements ReconstructionDistribution {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ExponentialReconstructionDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ExponentialReconstructionDistribution.java
index 2bb9f2bf4..c109816f2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ExponentialReconstructionDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ExponentialReconstructionDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -23,20 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.ops.transforms.Transforms;
 
-/**
- * Exponential reconstruction distribution.

- * Supports data in range [0,infinity)

- * 

- * Parameterization used here: network models distribution parameter gamma, where gamma = log(lambda), with gamma \in (-inf, inf)
- * 

- * This means that an input from the decoder of gamma = 0 gives lambda = 1
- * which corresponds to a mean value for the expontial distribution of 1/lambda = 1
- * 

- * Regarding the choice of activation function: the parameterization above supports gamma in the range (-infinity,infinity)
- * therefore a symmetric activation function such as "identity" or perhaps "tanh" is preferred.
- *
- * @author Alex Black
- */
 @Data
 public class ExponentialReconstructionDistribution implements ReconstructionDistribution {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/GaussianReconstructionDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/GaussianReconstructionDistribution.java
index 9f41a2ac5..d62686d6a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/GaussianReconstructionDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/GaussianReconstructionDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -26,19 +30,6 @@ import org.nd4j.linalg.indexing.INDArrayIndex;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.linalg.ops.transforms.Transforms;
 
-/**
- * Gaussian reconstruction distribution for variational autoencoder.

- * Outputs are modelled by a Gaussian distribution, with the mean and variances (diagonal covariance matrix) for each
- * output determined by the network forward pass.

- * 

- * Specifically, the GaussianReconstructionDistribution models mean and log(stdev^2). This parameterization gives log(1) = 0,
- * and inputs can be in range (-infinity,infinity). Other parameterizations for variance are of course possible but may be
- * problematic with respect to the average pre-activation function values and activation function ranges.

- * For activation functions, identity and perhaps tanh are typical - though tanh (unlike identity) implies a minimum/maximum
- * possible value for mean and log variance. Asymmetric activation functions such as sigmoid or relu should be avoided.
- *
- * @author Alex Black
- */
 @Data
 public class GaussianReconstructionDistribution implements ReconstructionDistribution {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/LossFunctionWrapper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/LossFunctionWrapper.java
index b1ed0e504..51b4fe6af 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/LossFunctionWrapper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/LossFunctionWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -23,16 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * LossFunctionWrapper allows training of a VAE model with a standard (possibly deterministic) neural network loss function
- * for the reconstruction, instead of using a {@link ReconstructionDistribution} as would normally be done with a VAE model.
- * 

- * Note: most functionality is supported, but clearly reconstruction log probability cannot be calculated when using
- * LossFunctionWrapper, as ILossFunction instances do not have either (a) a probabilistic interpretation, or (b) a
- * means of calculating the negative log probability.
- *
- * @author Alex Black
- */
 @Data
 public class LossFunctionWrapper implements ReconstructionDistribution {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ReconstructionDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ReconstructionDistribution.java
index f58e6b0e7..065967cf0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ReconstructionDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/ReconstructionDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -22,15 +26,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * The ReconstructionDistribution is used with variational autoencoders {@link VariationalAutoencoder}
- * to specify the form of the distribution p(data|x). For example, real-valued data could be modelled
- * by a {@link GaussianReconstructionDistribution}, whereas binary data could be modelled by a {@link BernoulliReconstructionDistribution}.

- * 

- * To model multiple types of data in the one data vector, use {@link CompositeReconstructionDistribution}.
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface ReconstructionDistribution extends Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/VariationalAutoencoder.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/VariationalAutoencoder.java
index ac42afa55..3cc996c4a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/VariationalAutoencoder.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/variational/VariationalAutoencoder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.variational;
 
@@ -39,21 +43,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Variational Autoencoder layer
- * 

- * See: Kingma & Welling, 2013: Auto-Encoding Variational Bayes - https://arxiv.org/abs/1312.6114
- * 

- * This implementation allows multiple encoder and decoder layers, the number and sizes of which can be set
- * independently.
- * 

- * A note on scores during pretraining: This implementation minimizes the negative of the variational lower bound
- * objective as described in Kingma & Welling; the mathematics in that paper is based on maximization of the variational
- * lower bound instead. Thus, scores reported during pretraining in DL4J are the negative of the variational lower bound
- * equation in the paper. The backpropagation and learning procedure is otherwise as described there.
- *
- * @author Alex Black
- */
 @Data
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/wrapper/BaseWrapperLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/wrapper/BaseWrapperLayer.java
index c11f618da..051a68968 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/wrapper/BaseWrapperLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/wrapper/BaseWrapperLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.layers.wrapper;
 
@@ -28,12 +32,6 @@ import org.nd4j.linalg.learning.regularization.Regularization;
 
 import java.util.List;
 
-/**
- * Base wrapper layer: the idea is to pass through all methods to the underlying layer, and selectively override
- * them as required. This is to save implementing every single passthrough method for all 'wrapper' layer subtypes
- *
- * @author Alex Black
- */
 @Data
 public abstract class BaseWrapperLayer extends Layer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
index 4e7d63dca..33c0c3b6d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.memory;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * A {@link MemoryReport} Designed to report estimated memory use for a single layer or graph vertex.
- *
- * @author Alex Black
- */
 @Data
 @AllArgsConstructor
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java
index 34a25a15b..d62798e77 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.memory;
 
@@ -31,57 +35,6 @@ import java.util.Collections;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * A MemoryReport is designed to represent the estimated memory usage of a model, as a function of:

- * - Training vs. Inference usage of the network

- * - Minibatch size

- * - ND4J DataType setting

- * - Cache mode

- * Note that the memory use estimate may not be exact, as may not take into account all possible memory use;
- * Furthermore, memory may exceed this value depending on, for example, garbage collection.

- * 

- * 

- * 

- * For the purposes of estimating memory use under different situations, we consider there to be 3 types of memory:

- * Standard memory, working memory and Cached memory. Each type has the concept of 'fixed' size memory (independent
- * of minibatch size) and 'variable' memory (total use depends on minibatch size; memory reported is for one example).

- * 

- * 

- * The following breakdown of memory types will be used:

- * 
    
- * 
  • Standard memory
    • 
- * 
      
- * 
    • Fixed size (parameters, parameter gradients, updater state)
      • 
- * 
    • Variable size (activations, activation gradients)
      • 
- * 
    
- * 
  • Working memory (may be reused via workspace or garbage collected)
    • 
- * 
      
- * 
    • Fixed size (may be different for train vs. inference)
      • 
- * 
    • Variable size (may be different for train vs. inference)
      • 
- * 
    
- * 
  • Cached memory (only used for training mode)
    • 
- * 
      
- * 
    • Fixed size (as a function of CacheMode)
      • 
- * 
    • Variable size (as a function of CacheMode)
      • 
- * 
    
- * 

- * 

- * 

- * For MemoryUseMode (X = train or inference), for a given cache mode CM and minibatch size M and layers L:

- * TotalMemory(X,CM,M) = sum_L ( StandardFixedMem(X) + M * StandardVariableMem(X) )

- *  + max_L ( WorkingFixedMem(X,CM) + M * WorkingVariableMem(X,CM) )

- *  + sum_L ( CachedFixedMem(X,CM) + M * CachedVariableMem(X,CM))

- * 

- * Note 1: CachedFixedMem(INFERENCE,any) = 0 and CachedVariableMem(INFERENCE,any) = 0. i.e., cache is a train-only
- * feature.

- * Note 2: Working memory may depend on cache mode: if we cache something, we have less computation to do later, and
- *         hence less working memory.

- * Note 3: Reported memory figures are given in NDArray size unit - thus 1 refers to 1 float or 1 double value,
- * depending on the data type setting.
- * 

- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY)
 @EqualsAndHashCode
 public abstract class MemoryReport {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryType.java
index 4f078973f..4ca3bb083 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryType.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.memory;
 
-/**
- * Type of memory
- *
- * @author Alex Black
- */
 public enum MemoryType {
     PARAMETERS, PARAMATER_GRADIENTS, ACTIVATIONS, ACTIVATION_GRADIENTS, UPDATER_STATE, WORKING_MEMORY_FIXED, WORKING_MEMORY_VARIABLE, CACHED_MEMORY_FIXED, CACHED_MEMORY_VARIABLE;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryUseMode.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryUseMode.java
index 8a07e4120..531b4c0eb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryUseMode.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryUseMode.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.memory;
 
-/**
- * This simple enumeration defines the memory is used during inference or training.
- *
- * @author Alex Black
- */
 public enum MemoryUseMode {
     INFERENCE, TRAINING
 }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java
index 8d6bdb0f4..a4e9b97c4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.memory;
 
@@ -30,14 +34,6 @@ import java.util.Arrays;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- *
- * Network memory reports is a class that is used to store/represent the memory requirements of a
- * {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork} or {@link org.deeplearning4j.nn.graph.ComputationGraph},
- * composed of multiple layers and/or vertices.
- *
- * @author Alex Black
- */
 @Getter
 @EqualsAndHashCode(callSuper = true)
 public class NetworkMemoryReport extends MemoryReport {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/misc/DummyConfig.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/misc/DummyConfig.java
index 10db681a8..8cc5e6e20 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/misc/DummyConfig.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/misc/DummyConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.misc;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.learning.regularization.Regularization;
 
 import java.util.List;
 
-/**
- * A 'dummy' training configuration for use in frozen layers
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class DummyConfig implements TrainingConfig {
     private final String name;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/module/GraphBuilderModule.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/module/GraphBuilderModule.java
index d219de5a0..5c52fe3c4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/module/GraphBuilderModule.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/module/GraphBuilderModule.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.module;
 
 import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
 
-/**
- * GraphBuilderModule for nn layers. Allows for creation of plugins and modules to generate configurations and layers.
- *
- * @author Justin Long (crockpotveggies)
- */
 public interface GraphBuilderModule {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ocnn/OCNNOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ocnn/OCNNOutputLayer.java
index 539289eca..71d177141 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ocnn/OCNNOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/ocnn/OCNNOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.ocnn;
 
@@ -38,16 +42,6 @@ import java.util.Collection;
 import java.util.List;
 import java.util.Map;
 
-/**
- * An implementation of one class neural networks from:
- * https://arxiv.org/pdf/1802.06360.pdf
- *
- * The one class neural network approach is an extension of the standard output layer with a single set of weights, an
- * activation function, and a bias to: 2 sets of weights, a learnable "r" parameter that is held static 1 traditional
- * set of weights. 1 additional weight matrix
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 @ToString(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/BaseInputPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/BaseInputPreProcessor.java
index 83f1097b7..f621c6d21 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/BaseInputPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/BaseInputPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/Cnn3DToFeedForwardPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/Cnn3DToFeedForwardPreProcessor.java
index f6ba7af7b..8e660532d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/Cnn3DToFeedForwardPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/Cnn3DToFeedForwardPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -33,21 +37,6 @@ import java.util.Arrays;
 
 import static org.nd4j.linalg.api.shape.Shape.hasDefaultStridesForShape;
 
-/**
- * A preprocessor to allow CNN and standard feed-forward network layers to be used together.

- * For example, CNN3D -> Denselayer 

- * This does two things:

- * (b) Reshapes 5d activations out of CNN layer, with shape
- * [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) into 2d activations (with shape
- * [numExamples, inputDepth*inputHeight*inputWidth*numChannels]) for use in feed forward layer
- * (a) Reshapes epsilons (weights*deltas) out of FeedFoward layer (which is 2D or 3D with shape
- * [numExamples, inputDepth* inputHeight*inputWidth*numChannels]) into 5d epsilons (with shape
- * [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) suitable to feed into CNN layers.

- * Note: numChannels is equivalent to featureMaps referenced in different literature
- *
- * @author Max Pumperla
- * @see FeedForwardToCnn3DPreProcessor for opposite case (i.e., DenseLayer -> CNN3D)
- */
 @Data
 public class Cnn3DToFeedForwardPreProcessor implements InputPreProcessor {
     protected long inputDepth;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToFeedForwardPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToFeedForwardPreProcessor.java
index 45e40b2f4..702767ef3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToFeedForwardPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToFeedForwardPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -32,24 +36,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- *
- *
- * A preprocessor to allow CNN and standard feed-forward network layers to be used together.

- * For example, CNN -> Denselayer 

- * This does two things:

- * (b) Reshapes 4d activations out of CNN layer, with shape
- * [numExamples, numChannels, inputHeight, inputWidth]) (for {@link CNN2DFormat#NCHW} format activations) or shape
- * [numExamples, inputHeight, inputWidth, numChannels] (for {@link CNN2DFormat#NHWC}) format activations) into 2d activations
- * (with shape [numExamples, inputHeight*inputWidth*numChannels]) for use in feed forward layer.
- * (a) Reshapes epsilons (weights*deltas) out of FeedFoward layer (which is 2D or 3D with shape
- * [numExamples, inputHeight*inputWidth*numChannels]) into 4d epsilons (with shape
- * [numExamples, numChannels, inputHeight, inputWidth] or [numExamples, inputHeight, inputWidth, numChannels]) suitable to
- * feed into CNN layers.

- * Note: numChannels is equivalent to channels or featureMaps referenced in different literature
- * @author Adam Gibson
- * @see FeedForwardToCnnPreProcessor for opposite case (i.e., DenseLayer -> CNNetc)
- */
 @Data
 public class CnnToFeedForwardPreProcessor implements InputPreProcessor {
     protected long inputHeight;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToRnnPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToRnnPreProcessor.java
index 6f18e70e4..be44758f0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToRnnPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/CnnToRnnPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -33,19 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**A preprocessor to allow CNN and RNN layers to be used together.

- * For example, ConvolutionLayer -> GravesLSTM
- * Functionally equivalent to combining CnnToFeedForwardPreProcessor + FeedForwardToRnnPreProcessor

- * Specifically, this does two things:

- * (a) Reshape 4d activations out of CNN layer, with shape [timeSeriesLength*miniBatchSize, numChannels, inputHeight, inputWidth])
- * into 3d (time series) activations (with shape [miniBatchSize, inputHeight*inputWidth*numChannels, timeSeriesLength])
- * for use in RNN layers

- * (b) Reshapes 3d epsilons (weights.*deltas) out of RNN layer (with shape
- * [miniBatchSize,inputHeight*inputWidth*numChannels,timeSeriesLength]) into 4d epsilons with shape
- * [miniBatchSize*timeSeriesLength, numChannels, inputHeight, inputWidth] suitable to feed into CNN layers.
- * Note: numChannels is equivalent to channels or featureMaps referenced in different literature
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(exclude = {"product"})
 public class CnnToRnnPreProcessor implements InputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/ComposableInputPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/ComposableInputPreProcessor.java
index 55f0e6b12..7636acbb7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/ComposableInputPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/ComposableInputPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -28,10 +32,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.nd4j.shade.jackson.annotation.JsonCreator;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Composable input pre processor
- * @author Adam Gibson
- */
 @Data
 @EqualsAndHashCode(callSuper = false)
 public class ComposableInputPreProcessor extends BaseInputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnn3DPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnn3DPreProcessor.java
index 305ace530..2e55871ba 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnn3DPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnn3DPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -32,20 +36,6 @@ import java.util.Arrays;
 
 import static org.nd4j.linalg.api.shape.Shape.hasDefaultStridesForShape;
 
-/**
- * A preprocessor to allow 3D CNN and standard feed-forward network layers to be used together.

- * For example, DenseLayer -> Convolution3D

- * This does two things:

- * (a) Reshapes activations out of FeedFoward layer (which is 2D with shape
- * [numExamples, inputDepth*inputHeight*inputWidth*numChannels]) into 5d activations (with shape
- * [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) suitable to feed into CNN layers.

- * (b) Reshapes 5d epsilons from 3D CNN layer, with shape
- * [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) into 2d epsilons (with shape
- * [numExamples, inputDepth*inputHeight*inputWidth*numChannels]) for use in feed forward layer
- *
- * @author MaxPumperla
- * @see CnnToFeedForwardPreProcessor for opposite case (i.e., CNN3D -> DenseLayer etc)
- */
 @Data
 @EqualsAndHashCode(exclude = {"shape"})
 public class FeedForwardToCnn3DPreProcessor implements InputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnnPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnnPreProcessor.java
index 817d53848..f485df6d0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnnPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToCnnPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -31,21 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * A preprocessor to allow CNN and standard feed-forward network layers to be used together.

- * For example, DenseLayer -> CNN

- * This does two things:

- * (a) Reshapes activations out of FeedFoward layer (which is 2D or 3D with shape
- * [numExamples, inputHeight*inputWidth*numChannels]) into 4d activations (with shape
- * [numExamples, numChannels, inputHeight, inputWidth]) suitable to feed into CNN layers.

- * (b) Reshapes 4d epsilons (weights*deltas) from CNN layer, with shape
- * [numExamples, numChannels, inputHeight, inputWidth]) into 2d epsilons (with shape
- * [numExamples, inputHeight*inputWidth*numChannels]) for use in feed forward layer
- * Note: numChannels is equivalent to channels or featureMaps referenced in different literature
- *
- * @author Adam Gibson
- * @see Cnn3DToFeedForwardPreProcessor for opposite case (i.e., CNN -> DenseLayer etc)
- */
 @Data
 @EqualsAndHashCode(exclude = {"shape"})
 public class FeedForwardToCnnPreProcessor implements InputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToRnnPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToRnnPreProcessor.java
index e6bca1bed..d0b6a0f79 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToRnnPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/FeedForwardToRnnPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -32,20 +36,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Arrays;
 
-/**
- * A preprocessor to allow RNN and feed-forward network layers to be used together.

- * For example, DenseLayer -> GravesLSTM

- * This does two things:

- * (a) Reshapes activations out of FeedFoward layer (which is 2D with shape
- * [miniBatchSize*timeSeriesLength,layerSize]) into 3d activations (with shape
- * [miniBatchSize,layerSize,timeSeriesLength]) suitable to feed into RNN layers.

- * (b) Reshapes 3d epsilons (weights*deltas from RNN layer, with shape
- * [miniBatchSize,layerSize,timeSeriesLength]) into 2d epsilons (with shape
- * [miniBatchSize*timeSeriesLength,layerSize]) for use in feed forward layer
- *
- * @author Alex Black
- * @see RnnToFeedForwardPreProcessor for opposite case (i.e., GravesLSTM -> DenseLayer etc)
- */
 @Data
 @NoArgsConstructor
 public class FeedForwardToRnnPreProcessor implements InputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToCnnPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToCnnPreProcessor.java
index 57487aae7..16307d87d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToCnnPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToCnnPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -32,20 +36,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * A preprocessor to allow RNN and CNN layers to be used together

- * For example, time series (video) input -> ConvolutionLayer, or conceivable GravesLSTM -> ConvolutionLayer

- * Functionally equivalent to combining RnnToFeedForwardPreProcessor + FeedForwardToCnnPreProcessor

- * Specifically, this does two things:

- * (a) Reshape 3d activations out of RNN layer, with shape [miniBatchSize, numChannels*inputHeight*inputWidth, timeSeriesLength])
- * into 4d (CNN) activations (with shape [numExamples*timeSeriesLength, numChannels, inputWidth, inputHeight]) 

- * (b) Reshapes 4d epsilons (weights.*deltas) out of CNN layer (with shape
- * [numExamples*timeSeriesLength, numChannels, inputHeight, inputWidth]) into 3d epsilons with shape
- * [miniBatchSize, numChannels*inputHeight*inputWidth, timeSeriesLength] suitable to feed into CNN layers.
- * Note: numChannels is equivalent to depth or featureMaps referenced in different literature
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(exclude = {"product"})
 public class RnnToCnnPreProcessor implements InputPreProcessor {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToFeedForwardPreProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToFeedForwardPreProcessor.java
index d4355e38b..287722dfe 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToFeedForwardPreProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/preprocessor/RnnToFeedForwardPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.preprocessor;
 
@@ -34,20 +38,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * A preprocessor to allow RNN and feed-forward network layers to be used together.

- * For example, GravesLSTM -> OutputLayer or GravesLSTM -> DenseLayer

- * This does two things:

- * (a) Reshapes activations out of RNN layer (which is 3D with shape
- * [miniBatchSize,layerSize,timeSeriesLength]) into 2d activations (with shape
- * [miniBatchSize*timeSeriesLength,layerSize]) suitable for use in feed-forward layers.

- * (b) Reshapes 2d epsilons (weights*deltas from feed forward layer, with shape
- * [miniBatchSize*timeSeriesLength,layerSize]) into 3d epsilons (with shape
- * [miniBatchSize,layerSize,timeSeriesLength]) for use in RNN layer
- *
- * @author Alex Black
- * @see FeedForwardToRnnPreProcessor for opposite case (i.e., DenseLayer -> GravesLSTM etc)
- */
 @Data
 @Slf4j
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java
index c4f594ece..cacfb49de 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.serde;
 
@@ -48,17 +52,6 @@ import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * A custom (abstract) deserializer that handles backward compatibility (currently only for updater refactoring that
- * happened after 0.8.0). This is used for both MultiLayerConfiguration and ComputationGraphConfiguration.

- * We deserialize the config using the default deserializer, then handle the new IUpdater (which will be null for
- * 0.8.0 and earlier configs) if necessary
- *
- * Overall design: 
- *     https://stackoverflow.com/questions/18313323/how-do-i-call-the-default-deserializer-from-a-custom-deserializer-in-jackson
- *
- * @author Alex Black
- */
 @Slf4j
 public abstract class BaseNetConfigDeserializer extends StdDeserializer implements ResolvableDeserializer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/ComputationGraphConfigurationDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/ComputationGraphConfigurationDeserializer.java
index 50384e518..ab5238768 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/ComputationGraphConfigurationDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/ComputationGraphConfigurationDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.serde;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/JsonMappers.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/JsonMappers.java
index 124cc4ffc..0dd62fc15 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/JsonMappers.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/JsonMappers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.serde;
 
@@ -32,11 +36,6 @@ import org.nd4j.shade.jackson.databind.jsontype.TypeResolverBuilder;
 import org.nd4j.shade.jackson.databind.module.SimpleModule;
 import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory;
 
-/**
- * JSON mappers for deserializing neural net configurations, etc.
- *
- * @author Alex Black
- */
 @Slf4j
 public class JsonMappers {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/MultiLayerConfigurationDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/MultiLayerConfigurationDeserializer.java
index 028fef9d3..b3e9d9600 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/MultiLayerConfigurationDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/MultiLayerConfigurationDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.serde;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatDeserializer.java
index ec50a5edb..f4893b8f6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatDeserializer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.conf.serde.format;
 
 import org.deeplearning4j.nn.conf.CNN2DFormat;
@@ -26,11 +30,6 @@ import org.nd4j.shade.jackson.databind.JsonNode;
 
 import java.io.IOException;
 
-/**
- * Simple JSON deserializer for {@link DataFormat} instances - {@link CNN2DFormat} and {@link RNNFormat}
- *
- * @author Alex Black
- */
 public class DataFormatDeserializer extends JsonDeserializer {
     @Override
     public DataFormat deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatSerializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatSerializer.java
index 9abe90d38..76c641d63 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatSerializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/format/DataFormatSerializer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.conf.serde.format;
 
 import org.deeplearning4j.nn.conf.CNN2DFormat;
@@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.databind.SerializerProvider;
 
 import java.io.IOException;
 
-/**
- * Simple JSON deserializer for {@link DataFormat} instances - {@link CNN2DFormat} and {@link RNNFormat}
- *
- * @author Alex Black
- */
 public class DataFormatSerializer extends JsonSerializer {
     @Override
     public void serialize(DataFormat dataFormat, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyIntArrayDeserializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyIntArrayDeserializer.java
index 064219fd1..2de46c80f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyIntArrayDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyIntArrayDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.serde.legacy;
 
@@ -25,14 +29,6 @@ import org.nd4j.shade.jackson.databind.node.ArrayNode;
 
 import java.io.IOException;
 
-/**
- * Deserialize either an int[] to an int[], or a single int x to int[]{x,x}
- *
- * Used when supporting a configuration format change from single int value to int[], as for Upsampling2D
- * between 1.0.0-alpha and 1.0.0-beta
- *
- * @author Alex Black
- */
 public class LegacyIntArrayDeserializer extends JsonDeserializer {
     @Override
     public int[] deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyJsonFormat.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyJsonFormat.java
index e421c4b1f..8726e3bc7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyJsonFormat.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/legacy/LegacyJsonFormat.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.conf.serde.legacy;
 
 import lombok.AccessLevel;
@@ -27,14 +47,6 @@ import org.nd4j.shade.jackson.annotation.JsonSubTypes;
 import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 import org.nd4j.shade.jackson.databind.ObjectMapper;
 
-/**
- * This class defines a set of Jackson Mixins - which are a way of using a proxy class with annotations to override
- * the existing annotations.
- * In 1.0.0-beta, we switched how subtypes were handled in JSON ser/de: from "wrapper object" to "@class field".
- * We use these mixins to allow us to still load the old format
- *
- * @author Alex Black
- */
 public class LegacyJsonFormat {
 
     private LegacyJsonFormat(){ }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/DefaultStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/DefaultStepFunction.java
index 3d8d8902e..dc32f1232 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/DefaultStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/DefaultStepFunction.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.stepfunctions;
 
-/**
- * Default step function
- */
 public class DefaultStepFunction extends StepFunction {
 
     private static final long serialVersionUID = 890156465738412597L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/GradientStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/GradientStepFunction.java
index 11e228278..2a727535f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/GradientStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/GradientStepFunction.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.stepfunctions;
 
-/**
- * Normal gradient step function
- */
 public class GradientStepFunction extends StepFunction {
 
     private static final long serialVersionUID = -2078308971477295356L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeDefaultStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeDefaultStepFunction.java
index 76c48d862..867ed7b28 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeDefaultStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeDefaultStepFunction.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.stepfunctions;
 
-/**
- * Inverse step function
- */
 public class NegativeDefaultStepFunction extends StepFunction {
 
     private static final long serialVersionUID = -7172373342318047825L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeGradientStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeGradientStepFunction.java
index a75e0dc89..a7c1d3648 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeGradientStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/NegativeGradientStepFunction.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.stepfunctions;
 
-/**
- * Subtract the line
- */
 public class NegativeGradientStepFunction extends StepFunction {
 
     private static final long serialVersionUID = 1180651861332789690L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/StepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/StepFunction.java
index f3068e545..2a7e94a79 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/StepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/stepfunctions/StepFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.stepfunctions;
 
@@ -23,9 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo.Id;
 
 import java.io.Serializable;
 
-/**
- * Custom step function for line search.
- */
 @JsonTypeInfo(use = Id.NAME, include = As.WRAPPER_OBJECT)
 @JsonSubTypes(value = {@JsonSubTypes.Type(value = DefaultStepFunction.class, name = "default"),
                 @JsonSubTypes.Type(value = GradientStepFunction.class, name = "gradient"),
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/DropConnect.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/DropConnect.java
index 76c8c220c..77a554fd8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/DropConnect.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/DropConnect.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.weightnoise;
 
@@ -27,12 +31,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * DropConnect, based on Wan et. al 2013 - "Regularization of Neural Networks using DropConnect"

- * Sets weights randomly to 0 with some probability, or leaves them unchanged.
- *
- * @author Alex Black
- */
 @Data
 public class DropConnect implements IWeightNoise {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/IWeightNoise.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/IWeightNoise.java
index 3e4f80caa..db0d5cc2f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/IWeightNoise.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/IWeightNoise.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.weightnoise;
 
@@ -23,16 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * IWeightNoise instances operate on an weight array(s), modifying values at training time or test
- * time, before they are used. Note that the weights are copied before being modified - the original parameters
- * are not changed. However, if the pameters are not changed, the original array is returned.
- *
- * This interface can be used to implement functionality like DropConnect, weight quantization and weight
- * noise.
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface IWeightNoise extends Serializable, Cloneable{
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/WeightNoise.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/WeightNoise.java
index 20beffafd..1d40bd2b0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/WeightNoise.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/weightnoise/WeightNoise.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.conf.weightnoise;
 
@@ -29,15 +33,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Apply noise of the specified distribution to the weights at training time.
- * Note that both additive and multiplicative modes are supported - when additive, noise should be mean 0,
- * when multiplicative, noise should be mean 1.
- * That is, additive noise: x = x + noise

- * multiplicative noise: x = x * noise
- *
- * @author Alex Black
- */
 @Data
 public class WeightNoise implements IWeightNoise {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/DefaultGradient.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/DefaultGradient.java
index feae146ce..9f8557ccc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/DefaultGradient.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/DefaultGradient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.gradient;
 
@@ -25,13 +29,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Default gradient implementation. Basically lookup table
- * for ndarrays
- *
- * @author Adam Gibson
- */
-
 public class DefaultGradient implements Gradient {
     public static final char DEFAULT_FLATTENING_ORDER = 'f';
     private Map gradients = new LinkedHashMap<>();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/Gradient.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/Gradient.java
index eb33560cb..0fb15d3ab 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/Gradient.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/gradient/Gradient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.gradient;
 
@@ -22,11 +26,6 @@ import java.io.Serializable;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Generic gradient
- *
- * @author Adam Gibson
- */
 public interface Gradient extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java
index 30d66aefa..44a838df0 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph;
 
@@ -98,12 +102,6 @@ import java.io.*;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * A ComputationGraph network is a neural network with arbitrary (directed acyclic graph) connection structure.
- * A ComputationGraph may also have an arbitrary number of inputs and outputs.
- *
- * @author Alex Black
- */
 @Slf4j
 public class ComputationGraph implements Serializable, Model, NeuralNetwork {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/ComputationGraphUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/ComputationGraphUtil.java
index 54f3835e9..dd0fb43b0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/ComputationGraphUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/ComputationGraphUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.util;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/GraphIndices.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/GraphIndices.java
index ed046352b..13a5edc25 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/GraphIndices.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/util/GraphIndices.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.util;
 
@@ -22,11 +26,6 @@ import lombok.Data;
 
 import java.util.Map;
 
-/**
- * Simple helper class for ComputationGraph topological sort and vertex index/name + name/index mapping
- *
- * @author Alex Black
- */
 @Data
 @AllArgsConstructor
 @Builder
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseGraphVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseGraphVertex.java
index 555c64f94..afffe99d4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseGraphVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseGraphVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex;
 
@@ -29,8 +33,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import java.util.Collections;
 import java.util.Map;
 
-/** BaseGraphVertex defines a set of common functionality for GraphVertex instances.
- */
 @Data
 public abstract class BaseGraphVertex implements GraphVertex {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseWrapperVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseWrapperVertex.java
index de6b18428..949ee0f7e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseWrapperVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/BaseWrapperVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex;
 
@@ -26,13 +30,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Map;
 
-/**
- * A base class for wrapper vertices: i.e., those vertices that have another vertex inside.
- * Use this as the basis of such wrapper vertices, which can selectively override only
- * the vertices that are required.
- *
- * @author Alex Black
- */
 public abstract class BaseWrapperVertex implements GraphVertex {
 
     protected GraphVertex underlying;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/GraphVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/GraphVertex.java
index a2477f940..73e4b2fc4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/GraphVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/GraphVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex;
 
@@ -27,14 +31,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import java.io.Serializable;
 import java.util.Map;
 
-/** A GraphVertex is a vertex in the computation graph. It may contain Layer, or define some arbitrary forward/backward pass
- * behaviour based on the inputs.

- * The purposes of GraphVertex instances are as follows:
- * 1. To track the (local) network connection structure: i.e., a GraphVertex knows about the vertices on the input and output sides
- * 2. To store intermediate results (activations and epsilons)
- * 3. To allow forward pass and backward pass to be conducted, once the intermediate results are set
- * @author Alex Black
- */
 public interface GraphVertex extends Trainable, Serializable {
 
     /** Get the name/label of the GraphVertex
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/VertexIndices.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/VertexIndices.java
index 06f7b7785..db91a1ffd 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/VertexIndices.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/VertexIndices.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex;
 
@@ -21,10 +25,6 @@ import lombok.EqualsAndHashCode;
 
 import java.io.Serializable;
 
-/**VertexIndices defines a pair of integers: the index of a vertex, and the edge number of that vertex.
- * This is used for example in {@link org.deeplearning4j.nn.graph.ComputationGraph} to define the connection structure
- * between {@link GraphVertex} objects in the graph
- */
 @AllArgsConstructor
 @EqualsAndHashCode
 public class VertexIndices implements Serializable {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ElementWiseVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ElementWiseVertex.java
index 5018dbe71..5d28feb9b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ElementWiseVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ElementWiseVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -41,12 +45,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Arrays;
 
-/** An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner

- * For example, the activations may be combined by addition, subtraction or multiplication or by selecting the maximum.
- * Addition, Average, Product and Max may use an arbitrary number of input arrays. Note that in the case of subtraction, only two inputs may be used.
- * In all cases, the shape of the input arrays must be identical.
- * @author Alex Black
- */
 public class ElementWiseVertex extends BaseGraphVertex {
 
     public enum Op {
@@ -86,19 +84,19 @@ public class ElementWiseVertex extends BaseGraphVertex {
             return workspaceMgr.dup(ArrayType.ACTIVATIONS, inputs[0]);
 
         boolean isBc = false;
-        for(int i=1; i
- * Exactly how this is done depends on the type of input.

- * For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]

- * For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength])
- *      -> [numExamples,layerSize1 + layerSize2,timeSeriesLength]

- * For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height])
- *      -> [numExamples,depth1 + depth2,width,height]

- * @author Alex Black
- */
 public class MergeVertex extends BaseGraphVertex {
 
     private long[][] forwardPassShapes;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PoolHelperVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PoolHelperVertex.java
index 962b02081..9885b6983 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PoolHelperVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PoolHelperVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -31,13 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * A custom layer for removing the first column and row from an input. This is meant to allow
- * importation of Caffe's GoogLeNet from 
- *     https://gist.github.com/joelouismarino/a2ede9ab3928f999575423b9887abd14.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class PoolHelperVertex extends BaseGraphVertex {
 
     public PoolHelperVertex(ComputationGraph graph, String name, int vertexIndex, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PreprocessorVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PreprocessorVertex.java
index d8fe85617..b8bedadbb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PreprocessorVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/PreprocessorVertex.java
@@ -1,21 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
+import lombok.Getter;
 import org.deeplearning4j.nn.api.Layer;
 import org.deeplearning4j.nn.api.MaskState;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
@@ -28,12 +33,8 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/** PreprocessorVertex is a simple adaptor class that allows a {@link InputPreProcessor} to be used in a ComputationGraph
- * GraphVertex, without it being associated with a layer.
- * @author Alex Black
- */
 public class PreprocessorVertex extends BaseGraphVertex {
-
+    @Getter
     private InputPreProcessor preProcessor;
 
     public PreprocessorVertex(ComputationGraph graph, String name, int vertexIndex, InputPreProcessor preProcessor, DataType dataType) {
@@ -41,7 +42,7 @@ public class PreprocessorVertex extends BaseGraphVertex {
     }
 
     public PreprocessorVertex(ComputationGraph graph, String name, int vertexIndex, VertexIndices[] inputVertices,
-                    VertexIndices[] outputVertices, InputPreProcessor preProcessor, DataType dataType) {
+                              VertexIndices[] outputVertices, InputPreProcessor preProcessor, DataType dataType) {
         super(graph, name, vertexIndex, inputVertices, outputVertices, dataType);
         this.preProcessor = preProcessor;
     }
@@ -69,7 +70,7 @@ public class PreprocessorVertex extends BaseGraphVertex {
     @Override
     public String toString() {
         return "PreprocessorVertex(id=" + this.getVertexIndex() + ",name=\"" + this.getVertexName() + "\",preProcessor="
-                        + preProcessor.toString() + ")";
+                + preProcessor.toString() + ")";
     }
 
     @Override
@@ -80,7 +81,7 @@ public class PreprocessorVertex extends BaseGraphVertex {
 
     @Override
     public Pair feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState,
-                    int minibatchSize) {
+                                                           int minibatchSize) {
         //No op
         if (maskArrays == null || maskArrays.length == 0) {
             return null;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ReshapeVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ReshapeVertex.java
index 39fcac462..4c8bbfc16 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ReshapeVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ReshapeVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -28,13 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Adds the ability to reshape and flatten the tensor in the computation graph. This is the equivalent
- * of calling {@code .reshape(new int[]{})} on the input array to the vertex and passing the new shape
- * to the next layer. ReshapeVertex also ensures the shape is valid for the backward pass.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class ReshapeVertex extends BaseGraphVertex {
 
     private char order;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ScaleVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ScaleVertex.java
index c4fa89239..f62a9278d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ScaleVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ScaleVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -29,13 +33,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * A ScaleVertex is used to scale the size of activations of a single layer

- * For example, ResNet activations can be scaled in repeating blocks to keep variance
- * under control.
- *
- * @author Justin Long (@crockpotveggies)
- */
 public class ScaleVertex extends BaseGraphVertex {
 
     private double scaleFactor;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ShiftVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ShiftVertex.java
index d9f5c78de..82c2e1155 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ShiftVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/ShiftVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -29,22 +33,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * A ShiftVertex is used to shift the activations of a single layer

- * One could use it to add a bias or as part of some other calculation.
- * For example, Highway Layers need them in two places. One, it's often
- * useful to have the gate weights have a large negative bias. (Of course
- * for this, we could just initialize the biases that way.)
- * But, _also_ it needs to do this:
- * (1-sigmoid(weight * input + bias)) (*) input + sigmoid(weight * input + bias) (*) activation(w2 * input + bias) ((*) is hadamard product)
- * So, here, we could have
- * 1. a DenseLayer that does the sigmoid
- * 2. a ScaleVertex(-1) and
- * 3. a ShiftVertex(1)
- * to accomplish that.
- *
- * @author Binesh Bannerjee (binesh_binesh@hotmail.com, @bnsh on gitter)
- */
 public class ShiftVertex extends BaseGraphVertex {
 
     private double shiftFactor;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/StackVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/StackVertex.java
index 3be9d6895..34d7b63e6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/StackVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/StackVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -33,15 +37,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * StackVertex allows for stacking of inputs so that they may be forwarded through
- * a network. This is useful for cases such as Triplet Embedding, where shared parameters
- * are not supported by the network.
- *
- * This vertex will automatically stack all available inputs.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class StackVertex extends BaseGraphVertex {
 
     private long[][] lastInputShapes;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/SubsetVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/SubsetVertex.java
index db4449293..50fcf1699 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/SubsetVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/SubsetVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -32,14 +36,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Arrays;
 
-/** SubsetVertex is used to select a subset of the activations out of another GraphVertex.

- * For example, a subset of the activations out of a layer.

- * Note that this subset is specifying by means of an interval of the original activations.
- * For example, to get the first 10 activations of a layer (or, first 10 features out of a CNN layer) use
- * new SubsetVertex(0,9).

- * In the case of convolutional (4d) activations, this is done along channels.
- * @author Alex Black
- */
 public class SubsetVertex extends BaseGraphVertex {
     private int from;
     private int to; //inclusive
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/UnstackVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/UnstackVertex.java
index 9eb4151c8..a9c70c27a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/UnstackVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/UnstackVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl;
 
@@ -32,16 +36,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Arrays;
 
-/**
- * UnstackVertex allows for unstacking of inputs so that they may be forwarded through
- * a network. This is useful for cases such as Triplet Embedding, where embeddings can
- * be separated and run through subsequent layers.
- *
- * Works similarly to SubsetVertex, except on dimension 0 of the input. stackSize is
- * explicitly defined by the user to properly calculate an step.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class UnstackVertex extends BaseGraphVertex {
     private long from;
     private int stackSize;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/DuplicateToTimeSeriesVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/DuplicateToTimeSeriesVertex.java
index 8b3f2fba0..85dc8b06b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/DuplicateToTimeSeriesVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/DuplicateToTimeSeriesVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl.rnn;
 
@@ -31,16 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of
- * duplication. That is, given a 2d input with shape [numExamples,nIn] duplicate each row to give output of
- * [numExamples,nIn,timeSeriesLength], where the activations are the same for all time steps.

- * This method is used for example in sequence to sequence models.

- * Note: The length of the output time series (number of time steps) is determined by means of referencing one of the
- * inputs in the ComputationGraph. That is: Because the length of the time series may differ at runtime, we generally want the number
- * of time steps to match some other input; here, we are specifying the length of the output time series to be the same as
- * one of the input time series

- * @author Alex Black
- */
 public class DuplicateToTimeSeriesVertex extends BaseGraphVertex {
 
     private String inputName;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/LastTimeStepVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/LastTimeStepVertex.java
index 75ce3be3b..4eab20e41 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/LastTimeStepVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/LastTimeStepVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl.rnn;
 
@@ -32,15 +36,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/** LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series)
- * activations to 2d activations, by extracting out the last time step of activations for each example.

- * This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
- * NOTE: Because RNNs may have masking arrays (to allow for examples/time series of different lengths in the same
- * minibatch), it is necessary to provide the same of the network input that has the corresponding mask array. If this
- * input does not have a mask array, the last time step of the input will be used for all examples; otherwise, the time
- * step of the last non-zero entry in the mask array (for each example separately) will be used.
- * @author Alex Black
- */
 public class LastTimeStepVertex extends BaseGraphVertex {
 
     private String inputName;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/ReverseTimeSeriesVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/ReverseTimeSeriesVertex.java
index 0d75119de..359a576a3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/ReverseTimeSeriesVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/rnn/ReverseTimeSeriesVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.graph.vertex.impl.rnn;
 
@@ -30,18 +34,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * ReverseTimeSeriesVertex is used in recurrent neural networks to revert the order of time series.
- * As a result, the last time step is moved to the beginning of the time series and the first time step
- * is moved to the end. This allows recurrent layers to backward process time series.

- *
- * Masks: The input might be masked (to allow for varying time series lengths in one minibatch). In this case the
- * present input (mask array = 1) will be reverted in place and the padding (mask array = 0) will be left untouched at
- * the same place. For a time series of length n, this would normally mean, that the first n time steps are reverted and
- * the following padding is left untouched, but more complex masks are supported (e.g. [1, 0, 1, 0, ...].

- *
- * @author Klaus Broelemann (SCHUFA Holding AG)
- */
 public class ReverseTimeSeriesVertex extends BaseGraphVertex {
     private final String inputName;
     private final int inputIdx;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/AbstractLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/AbstractLayer.java
index f3d009a6c..5c4c8ee16 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/AbstractLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/AbstractLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ActivationLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ActivationLayer.java
index c1c92d3a7..f83b1cf31 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ActivationLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ActivationLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -27,14 +31,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 
 
-/**
- * Activation Layer
- *
- * Used to apply activation on input and corresponding derivative on epsilon.
- * Decouples activation from the layer type and ideal for cases when applying
- * BatchNormLayer. For example, use "identity" activation on the layer prior to BatchNorm and
- * apply this layer after the BatchNorm.
- */
 public class ActivationLayer extends AbstractLayer {
 
     public ActivationLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseLayer.java
index 1b7d045a8..ed1176133 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseOutputLayer.java
index a10bb33f3..1f317eee6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -41,13 +45,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * Output layer with different objective
- * in co-occurrences for different objectives.
- * This includes classification as well as prediction
- * @author Adam Gibson
- *
- */
 public abstract class BaseOutputLayer
         extends BaseLayer implements Serializable, IOutputLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BasePretrainNetwork.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BasePretrainNetwork.java
index f135b0400..d19569f01 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BasePretrainNetwork.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BasePretrainNetwork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -35,12 +39,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Baseline class for any Neural Network used
- * as a layer in a deep network *
- * @author Adam Gibson
- *
- */
 public abstract class BasePretrainNetwork
                 extends BaseLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/DropoutLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/DropoutLayer.java
index ff5af8426..743186706 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/DropoutLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/DropoutLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -25,9 +29,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Created by davekale on 12/7/16.
- */
 public class DropoutLayer extends BaseLayer {
 
     public DropoutLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayer.java
index 3c28cc59a..06f3f53b3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -29,14 +33,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.common.util.OneTimeLogger;
 
-/**
- * For purposes of transfer learning
- * A frozen layers wraps another dl4j layer within it.
- * The params of the layer within it are "frozen" or in other words held constant
- * During the forward pass the frozen layer behaves as the layer within it would during test regardless of the training/test mode the network is in.
- * Backprop is skipped since parameters are not be updated.
- * @author susaneraly
- */
 @Slf4j
 public class FrozenLayer extends BaseWrapperLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackprop.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackprop.java
index 7fe55dd0b..a5bb54857 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackprop.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackprop.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.common.util.OneTimeLogger;
 
-/**
- * Frozen layer freezes parameters of the layer it wraps, but allows the backpropagation to continue.
- *
- * @author Ugljesa Jovanovic (jovanovic.ugljesa@gmail.com)
- */
-
 @Slf4j
 public class FrozenLayerWithBackprop extends BaseWrapperLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LayerHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LayerHelper.java
index 58a8c1c52..fd3bc4ce3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LayerHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LayerHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java
index 7180ff446..e53fc6619 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -40,12 +44,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * LossLayer is a flexible output "layer" that performs a loss function on
- * an input without MLP logic.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class LossLayer extends BaseLayer
                 implements Serializable, IOutputLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java
index 591f0f3a4..262af65cd 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
 
-/**
- * Output layer with different objective
- * incooccurrences for different objectives.
- * This includes classification as well as prediction
- * @author Adam Gibson
- *
- */
 public class OutputLayer extends BaseOutputLayer {
 
     public OutputLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/RepeatVector.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/RepeatVector.java
index fd9187cef..442808357 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/RepeatVector.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/RepeatVector.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers;
 
@@ -32,14 +36,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Arrays;
 
-/**
- * RepeatVector layer.
- *
- * RepeatVector takes a mini-batch of vectors of shape (mb, length) and a repeat factor n and outputs
- * a 3D tensor of shape (mb, n, length) in which x is repeated n times.
- *
- * @author Max Pumperla
- */
 public class RepeatVector extends AbstractLayer {
 
     public RepeatVector(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cnn3DLossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cnn3DLossLayer.java
index 212161a9e..b63978b10 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cnn3DLossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cnn3DLossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -40,23 +44,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * 3D Convolutional Neural Network Loss Layer.

- * Handles calculation of gradients etc for various objective functions.

- * NOTE: Cnn3DLossLayer does not have any parameters. Consequently, the output activations size is equal to the input size.

- * Input and output activations are same as other 3D CNN layers: 5 dimensions with shape [miniBatchSize,channels,depth,height,width]

- * Cnn3DLossLayer has support for a built-in activation function (tanh, softmax etc) - if this is not required, set
- * activation function to Activation.IDENTITY. For activations such as softmax, note that this is applied channels-wise:
- * that is, softmax is applied along dimension 1 (channels) for each minibatch, and x/y/z location separately.

- * 

- * Note that 3 types of masking are supported: (n=minibatchSize, c=channels, d=depth, h=height, w=width)

- * - Per example masking: Where an example is present or not (and all outputs are masked by it). Mask shape [n,1]

- * - Per x/y/z location masking: where each spatial X/Y/Z location is present or not (all channels at a given x/y/z are masked by it).
- * Mask shape: [n,d,h,w].

- * - Per output masking: Where each output activation value is present or not - mask shape [n,c,d,h,w] (same as output)

- *
- * @author Alex Black
- */
 public class Cnn3DLossLayer extends BaseLayer implements IOutputLayer {
     @Setter
     @Getter
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/CnnLossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/CnnLossLayer.java
index 06c3b2375..facc999f5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/CnnLossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/CnnLossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -41,23 +45,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Convolutional Neural Network Loss Layer.

- * Handles calculation of gradients etc for various objective functions.

- * NOTE: CnnLossLayer does not have any parameters. Consequently, the output activations size is equal to the input size.

- * Input and output activations are same as other CNN layers: 4 dimensions with shape [miniBatchSize,channels,height,width]

- * CnnLossLayer has support for a built-in activation function (tanh, softmax etc) - if this is not required, set
- * activation function to Activation.IDENTITY. For activations such as softmax, note that this is applied channels-wise:
- * that is, softmax is applied along dimension 1 (channels) for each minibatch, and x/y location separately.

- * 

- * Note that 3 types of masking are supported: (n=minibatchSize, c=channels, h=height, w=width)

- * - Per example masking: Where an example is present or not (and all outputs are masked by it). Mask shape [n,1]

- * - Per x/y location masking: where each spatial X/Y location is present or not (all channels at a given x/y are masked by it).
- * Mask shape: [n,h,w].

- * - Per output masking: Where each output activation value is present or not - mask shape [n,c,h,w] (same as output)

- *
- * @author Alex Black
- */
 public class CnnLossLayer extends BaseLayer implements IOutputLayer {
     @Setter
     @Getter
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java
index 866df2759..439079017 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -46,22 +50,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * 1D (temporal) convolutional layer. Currently, we just subclass off the
- * ConvolutionLayer and override the preOutput and backpropGradient methods.
- * Specifically, since this layer accepts RNN (not CNN) InputTypes, we
- * need to add a singleton fourth dimension before calling the respective
- * superclass method, then remove it from the result.
- *
- * This approach treats a multivariate time series with L timesteps and
- * P variables as an L x 1 x P image (L rows high, 1 column wide, P
- * channels deep). The kernel should be H {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping1DLayer.java
index 269694c50..fc30dd692 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -33,12 +37,6 @@ import org.nd4j.common.primitives.Pair;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
-/**
- * Zero cropping layer for 1D convolutional neural networks.
- * Allows cropping to be done separately for top/bottom
- *
- * @author Max Pumperla
- */
 public class Cropping1DLayer extends AbstractLayer {
 
     private int[] cropping; //[padTop, padBottom]
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping2DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping2DLayer.java
index fbb87ec1e..8e40fc652 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping2DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping2DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -32,12 +36,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
-/**
- * Zero cropping layer for convolutional neural networks.
- * Allows cropping to be done separately for top/bottom/left/right
- *
- * @author Alex Black
- */
 public class Cropping2DLayer extends AbstractLayer {
 
     private int[] cropping; //[padTop, padBottom, padLeft, padRight]
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping3DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping3DLayer.java
index a659e539a..ea2c5a20a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping3DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Cropping3DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -31,13 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
-/**
- * Cropping layer for 3D convolutional neural networks.
- * Allows cropping to be done separately for upper and lower bounds of
- * depth, height and width dimensions.
- *
- * @author Max Pumperla
- */
 public class Cropping3DLayer extends AbstractLayer {
 
     private int[] cropping; //[cropLeftD, cropRightD, cropLeftH, cropRightH, cropLeftW, cropRightW]
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution2DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution2DLayer.java
index 2ef624a92..d0836d2f4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution2DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution2DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -39,21 +43,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 
 import java.util.Arrays;
 
-/**
- * 2D deconvolution layer implementation.
- *
- * Deconvolutions are also known as transpose convolutions or fractionally strided convolutions.
- * In essence, deconvolutions swap forward and backward pass with regular 2D convolutions.
- *
- * See the paper by Matt Zeiler for details:
- * http://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf
- *
- * For an intuitive guide to convolution arithmetic and shapes, see:
- * https://arxiv.org/abs/1603.07285v1
- *
- *
- * @author Max Pumperla
- */
 public class Deconvolution2DLayer extends ConvolutionLayer {
 
     public Deconvolution2DLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution3DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution3DLayer.java
index 4c452d853..0913c7f7c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution3DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Deconvolution3DLayer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -41,21 +45,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.Arrays;
 
-/**
- * 3D deconvolution layer implementation.
- *
- * Deconvolutions are also known as transpose convolutions or fractionally strided convolutions.
- * In essence, deconvolutions swap forward and backward pass with regular 3D convolutions.
- *
- * See the paper by Matt Zeiler for details:
- * http://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf
- *
- * For an intuitive guide to convolution arithmetic and shapes, see:
- * https://arxiv.org/abs/1603.07285v1
- *
- *
- * @author Alex Black
- */
 public class Deconvolution3DLayer extends BaseLayer {
 
     public Deconvolution3DLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/DepthwiseConvolution2DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/DepthwiseConvolution2DLayer.java
index 2cc71c671..c63aeb3f9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/DepthwiseConvolution2DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/DepthwiseConvolution2DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -39,16 +43,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Arrays;
 
-/**
- * 2D depth-wise convolution layer configuration.
- * 

- * Performs a channels-wise convolution, which
- * operates on each of the input maps separately. A channel multiplier is used to
- * specify the number of outputs per input map. This convolution
- * is carried out with the specified kernel sizes, stride and padding values.
- *
- * @author Max Pumperla
- */
 public class DepthwiseConvolution2DLayer extends ConvolutionLayer {
 
     public DepthwiseConvolution2DLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SeparableConvolution2DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SeparableConvolution2DLayer.java
index 09cb4bc72..d5d0ebf0f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SeparableConvolution2DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SeparableConvolution2DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -40,26 +44,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 
 import java.util.Arrays;
 
-/**
- * 2D Separable convolution layer implementation
- *
- * Separable convolutions split a regular convolution operation into two
- * simpler operations, which are usually computationally more efficient.
- *
- * The first step in a separable convolution is a channels-wise convolution, which
- * operates on each of the input maps separately. A channels multiplier is used to
- * specify the number of outputs per input map in this step. This convolution
- * is carried out with the specified kernel sizes, stride and padding values.
- *
- * The second step is a point-wise operation, in which the intermediary outputs
- * of the channels-wise convolution are mapped to the desired number of feature
- * maps, by using a 1x1 convolution.
- *
- * The result of chaining these two operations will result in a tensor of the
- * same shape as that for a standard conv2d operation.
- *
- * @author Max Pumperla
- */
 public class SeparableConvolution2DLayer extends ConvolutionLayer {
 
     public SeparableConvolution2DLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToBatch.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToBatch.java
index ca4a1a03b..6abd39baa 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToBatch.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToBatch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -35,24 +39,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import java.util.Arrays;
 
 
-/**
- * Space to batch utility layer for convolutional input types.
- * 

- * Does a 2-dimensional space to batch operation, i.e. ransforms data from a tensor from 2 spatial dimensions into batch dimension
- * according to the "blocks" specified (a vector of length 2). Afterwards the spatial dimensions are optionally padded,
- * as specified in "padding", a tensor of dim (2, 2), denoting the padding range.
- * 

- * Example:
- * input:         [[[[1], [2]], [[3], [4]]]]
- * input shape:   [1, 2, 2, 1]
- * blocks:        [2, 2]
- * padding:       [[0, 0], [0, 0]]
- * 

- * output:        [[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
- * output shape:  [4, 1, 1, 1]
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class SpaceToBatch extends AbstractLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepth.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepth.java
index c20b508a8..aa0fd2ebb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepth.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/SpaceToDepth.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -36,22 +40,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import java.util.Arrays;
 
 
-/**
- * Space to channels utility layer for convolutional input types.
- * 

- * This operation takes 4D array in, in either NCHW or NHWC format, and moves data from spatial dimensions (HW)
- * to channels (C) for given blockSize
- * 

- * Example:
- * blockSize = 4
- * dataFormat = "NCHW"
- * input shape =  [128, 16, 16, 3]
- * output shape = [128, 16/4, 16/4, 3*4*4]
- *
- *
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class SpaceToDepth extends AbstractLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding1DLayer.java
index 642d42283..6c293c6ab 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -30,12 +34,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Zero padding 1D layer for convolutional neural networks.
- * Allows padding to be done separately for left and right boundaries.
- *
- * @author Max Pumperla
- */
 public class ZeroPadding1DLayer extends AbstractLayer {
 
     private int[] padding; // [padLeft, padRight]
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding3DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding3DLayer.java
index b679a437e..e39d6886b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding3DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPadding3DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -30,13 +34,6 @@ import org.nd4j.linalg.indexing.INDArrayIndex;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Zero padding 3D layer for convolutional neural networks.
- * Allows padding to be done separately for left and right boundaries
- * in all three spatial input dimensions.
- *
- * @author Max Pumperla
- */
 public class ZeroPadding3DLayer extends AbstractLayer {
 
     private int[] padding; // [padLeft1, padRight1, padLeft2, padRight2, padLeft3, padRight3]
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPaddingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPaddingLayer.java
index 27b85c8df..d467474e3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPaddingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/ZeroPaddingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution;
 
@@ -31,12 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 
-/**
- * Zero padding layer for convolutional neural networks.
- * Allows padding to be done separately for top/bottom/left/right
- *
- * @author Alex Black
- */
 public class ZeroPaddingLayer extends AbstractLayer {
 
     public ZeroPaddingLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/Subsampling1DLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/Subsampling1DLayer.java
index 0cb105692..52d2fbf3b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/Subsampling1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/Subsampling1DLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution.subsampling;
 
@@ -30,22 +34,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Arrays;
 
-/**
- * 1D (temporal) subsampling layer. Currently, we just subclass off the
- * SubsamplingLayer and override the preOutput and backpropGradient methods.
- * Specifically, since this layer accepts RNN (not CNN) InputTypes, we
- * need to add a singleton fourth dimension before calling the respective
- * superclass method, then remove it from the result.
- *
- * This approach treats a multivariate time series with L timesteps and
- * P variables as an L x 1 x P image (L rows high, 1 column wide, P
- * channels deep). The kernel should be H {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingHelper.java
index aaeaab216..b8c115a30 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution.subsampling;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingLayer.java
index 56377519e..be0e2d1de 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/subsampling/SubsamplingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution.subsampling;
 
@@ -40,13 +44,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Arrays;
 
-/**
- * Subsampling layer.
- *
- * Used for downsampling a convolution
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class SubsamplingLayer extends AbstractLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling1D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling1D.java
index 0200d70c0..bcff8be84 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling1D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution.upsampling;
 
@@ -35,16 +39,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import java.util.Arrays;
 
 
-/**
- * 1D Upsampling layer.
- * 

- * Used for upsampling a 1D convolution. Currently derived from 2D version.
- * For forward and backward pass we add a dummy dimension, apply the 2D version
- * and strip the extra dimension again. Eventually, we will want to migrate to a
- * proper 1D version without this overhead.
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class Upsampling1D extends Upsampling2D {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling2D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling2D.java
index 8e7add607..ff1aebb20 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling2D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling2D.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution.upsampling;
 
@@ -38,13 +41,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Arrays;
 
 
-/**
- * 2D Upsampling layer.
- * 

- * Used for upsampling a 2D convolution
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class Upsampling2D extends AbstractLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling3D.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling3D.java
index 5361450fc..0df9431c7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling3D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/upsampling/Upsampling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.convolution.upsampling;
 
@@ -36,13 +40,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Arrays;
 
 
-/**
- * 3D Upsampling layer.
- * 

- * Used for upsampling a 3D convolution
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class Upsampling3D extends AbstractLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/PReLU.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/PReLU.java
index f904f9e89..fcf624932 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/PReLU.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/PReLU.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward;
 
@@ -30,14 +33,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 
-/** Parametrized Rectified Linear Unit (PReLU)
- *
- * f(x) = alpha * x for x < 0, f(x) = x for x >= 0
- *
- * alpha has the same shape as x and is a learned parameter.
- *
- * @author Max Pumperla
- */
 public class PReLU extends BaseLayer {
 
     long[] axes = layerConf().getSharedAxes();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/AutoEncoder.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/AutoEncoder.java
index d2b64f175..fd6b97aa5 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/AutoEncoder.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/AutoEncoder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.autoencoder;
 
@@ -25,14 +29,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 
-/**
- *  Autoencoder.
- * Add Gaussian noise to input and learn
- * a reconstruction function.
- *
- * @author Adam Gibson
- *
- */
 public class AutoEncoder extends BasePretrainNetwork {
 
     public AutoEncoder(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/recursive/Tree.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/recursive/Tree.java
index daf5e15bd..48c84c2ea 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/recursive/Tree.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/autoencoder/recursive/Tree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive;
 
@@ -23,10 +27,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Tree for a recursive neural tensor network
- * based on Socher et al's work.
- */
 public class Tree implements Serializable {
 
     private INDArray vector;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseLayer.java
index fa0b893b3..77b030b4c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/dense/DenseLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.dense;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/elementwise/ElementWiseMultiplicationLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/elementwise/ElementWiseMultiplicationLayer.java
index d081575a3..b65172652 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/elementwise/ElementWiseMultiplicationLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/elementwise/ElementWiseMultiplicationLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.elementwise;
 
@@ -32,16 +36,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 
 import java.util.Arrays;
 
-/**
- * Elementwise multiplication layer with weights: implements out = activationFn(input .* w + b) where:

- * - w is a learnable weight vector of length nOut

- * - ".*" is element-wise multiplication

- * - b is a bias vector

- * 

- * Note that the input and output sizes of the element-wise layer are the same for this layer
- * 

- * created by jingshu
- */
 public class ElementWiseMultiplicationLayer extends BaseLayer {
 
     public ElementWiseMultiplicationLayer(NeuralNetConfiguration conf, DataType dataType){
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayer.java
index 18234e422..994079603 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.feedforward.embedding;
 
@@ -32,16 +36,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 
-/**Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1)
- * as input. This input has shape [numExamples,1] instead of [numExamples,numClasses] for the equivalent one-hot representation.
- * Mathematically, EmbeddingLayer is equivalent to using a DenseLayer with a one-hot representation for the input; however,
- * it can be much more efficient with a large number of classes (as a dense layer + one-hot input does a matrix multiply
- * with all but one value being zero).

- * Note: can only be used as the first layer for a network

- * Note 2: For a given example index i, the output is activationFunction(weights.getRow(i) + bias), hence the
- * weight rows can be considered a vector/embedding for each example.
- * @author Alex Black
- */
 @Slf4j
 public class EmbeddingLayer extends BaseLayer {
     private static final int[] DIM_1 = new int[]{1};
@@ -89,11 +83,15 @@ public class EmbeddingLayer extends BaseLayerNote: can only be used as the first layer for a network

- * Note 2: For a given example index i, the output is activationFunction(weights.getRow(i) + bias), hence the
- * weight rows can be considered a vector/embedding of each index.
- *
- * @author Max Pumperla
- */
 @Slf4j
 public class EmbeddingSequenceLayer extends BaseLayer {
     private static final int[] WEIGHT_DIM = new int[]{1};
@@ -111,8 +105,11 @@ public class EmbeddingSequenceLayer extends BaseLayer [minibatch, nOut, seqLen] i.e., NWC -> NCW
         }
         return workspaceMgr.leverageTo(ArrayType.ACTIVATIONS, ret);
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/BaseMKLDNNHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/BaseMKLDNNHelper.java
index a5217ab38..0e25760b8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/BaseMKLDNNHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/BaseMKLDNNHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.mkldnn;
 
@@ -22,10 +26,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.lang.reflect.Method;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * Base class for MKL-DNN Helpers
- * @author Alex Black
- */
 public class BaseMKLDNNHelper {
 
     private static AtomicBoolean BACKEND_OK = null;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNBatchNormHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNBatchNormHelper.java
index cc33d5112..27fec5626 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNBatchNormHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNBatchNormHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.mkldnn;
 
@@ -40,11 +44,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * MKL-DNN batch normalization helper implementation
- *
- * @author Alex Black
- */
 public class MKLDNNBatchNormHelper implements BatchNormalizationHelper {
     private static final int[] RANK2_DIMS = {0};
     private static final int[] RANK4_DIMS_NCHW = {0,2,3};
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNConvHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNConvHelper.java
index 4aee210c2..951958643 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNConvHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNConvHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.mkldnn;
 
@@ -39,11 +43,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * MKL-DNN Convolution (2d) helper
- *
- * @author Alex Black
- */
 public class MKLDNNConvHelper implements ConvolutionHelper {
 
     protected OpContext context;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLSTMHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLSTMHelper.java
index 472d5c00b..353d7c664 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLSTMHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLSTMHelper.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.layers.mkldnn;
 
 import org.deeplearning4j.nn.api.Layer;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLocalResponseNormalizationHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLocalResponseNormalizationHelper.java
index b0304c20b..d0c9f90ad 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLocalResponseNormalizationHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNLocalResponseNormalizationHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.mkldnn;
 
@@ -31,11 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * MKL-DNN Local response normalization helper
- *
- * @author Alex Black
- */
 public class MKLDNNLocalResponseNormalizationHelper extends BaseMKLDNNHelper implements LocalResponseNormalizationHelper {
 
     protected OpContext context;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNSubsamplingHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNSubsamplingHelper.java
index 190034ad3..91923a967 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNSubsamplingHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/mkldnn/MKLDNNSubsamplingHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.mkldnn;
 
@@ -41,11 +45,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * MKL-DNN Subsampling (2d) helper
- *
- * @author Alex Black
- */
 public class MKLDNNSubsamplingHelper implements SubsamplingHelper {
 
     protected OpContext context;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalization.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalization.java
index c2a94a75b..e41c7c44b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalization.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.normalization;
 
@@ -47,16 +51,6 @@ import org.nd4j.common.util.OneTimeLogger;
 
 import java.util.*;
 
-/**
- * Batch normalization layer.

- * Rerences:

- *  https://arxiv.org/pdf/1502.03167v3.pdf

- *  https://arxiv.org/pdf/1410.7455v8.pdf

- *  
- *      https://kratzert.github.io/2016/02/12/understanding-the-gradient-flow-through-the-batch-normalization-layer.html
- *
- * Batch normalization should be applied between the output of a layer (with identity activation) and the activation function.
- **/
 @Slf4j
 public class BatchNormalization extends BaseLayer {
     protected static final double ONE_ON_2LOGE_10 = 1.0 / (2 * Math.log(10.0));
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationHelper.java
index 94b406070..d6bac6a64 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/BatchNormalizationHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.normalization;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Helper for the batch normalization layer.
- *
- * @author saudet
- */
 public interface BatchNormalizationHelper extends LayerHelper {
     boolean checkSupported(double eps, boolean fixedGammaBeta);
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalization.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalization.java
index 7aa0ded4a..fdfe2b50a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalization.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.normalization;
 
@@ -41,29 +45,6 @@ import org.nd4j.common.primitives.Triple;
 
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
-/**
- * Deep neural net normalization approach normalizes activations between layers
- * "brightness normalization"
- * Used for nets like AlexNet
- * 

- * For a^i_{x,y} the activity of a neuron computed by applying kernel i
- * at position (x,y) and applying ReLU nonlinearity, the response
- * normalized activation b^i_{x,y} is given by:
- * 

- * x^2 = (a^j_{x,y})^2
- * unitScale = (k + alpha * sum_{j=max(0, i - n/2)}^{max(N-1, i + n/2)} (a^j_{x,y})^2 )
- * y = b^i_{x,y} = x * unitScale**-beta
- * 

- * gy = epsilon (aka deltas from previous layer)
- * sumPart = sum(a^j_{x,y} * gb^j_{x,y})
- * gx = gy * unitScale**-beta - 2 * alpha * beta * sumPart/unitScale * a^i_{x,y}
- * 

- * Reference:

- * http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf

- * https://github.com/vlfeat/matconvnet/issues/10

- * 

- * Created by nyghtowl on 10/29/15.
- */
 @Slf4j
 public class LocalResponseNormalization
         extends AbstractLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalizationHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalizationHelper.java
index c2dbc1c65..f2c60f160 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalizationHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/normalization/LocalResponseNormalizationHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.normalization;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * Helper for the local response normalization layer.
- *
- * @author saudet
- */
 public interface LocalResponseNormalizationHelper extends LayerHelper {
     boolean checkSupported(double k, double n, double alpha, double beta);
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/DetectedObject.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/DetectedObject.java
index 99e7586e3..1678a87aa 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/DetectedObject.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/DetectedObject.java
@@ -1,34 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.objdetect;
 
 import lombok.Data;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A detected object, by an object detection algorithm.
- * Note that the dimensions (for center X/Y, width/height) depend on the specific implementation.
- * For example, in the {@link Yolo2OutputLayer}, the dimensions are grid cell units - for example, with 416x416 input,
- * 32x downsampling, we have 13x13 grid cells (each corresponding to 32 pixels in the input image). Thus, a centerX
- * of 5.5 would be xPixels=5.5x32 = 176 pixels from left. Widths and heights are similar: in this example, a with of 13
- * would be the entire image (416 pixels), and a height of 6.5 would be 6.5/13 = 0.5 of the image (208 pixels).
- *
- * @author Alex Black
- */
 @Data
 public class DetectedObject {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/Yolo2OutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/Yolo2OutputLayer.java
index 4d118c62b..6d35e86ca 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/Yolo2OutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/Yolo2OutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.objdetect;
 
@@ -54,36 +58,6 @@ import java.util.List;
 
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**
- * Output (loss) layer for YOLOv2 object detection model, based on the papers:
- * YOLO9000: Better, Faster, Stronger - Redmon & Farhadi (2016) - https://arxiv.org/abs/1612.08242

- * and

- * You Only Look Once: Unified, Real-Time Object Detection - Redmon et al. (2016) -
- * http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf
- * 

- * This loss function implementation is based on the YOLOv2 version of the paper. However, note that it doesn't
- * currently support simultaneous training on both detection and classification datasets as described in the
- * YOlO9000 paper.

- * 

- * Label format: [minibatch, 4+C, H, W]

- * Order for labels depth: [x1,y1,x2,y2,(class labels)]

- * x1 = box top left position

- * y1 = as above, y axis

- * x2 = box bottom right position

- * y2 = as above y axis

- * Note: labels are represented as a multiple of grid size - for a 13x13 grid, (0,0) is top left, (13,13) is bottom right

- * 

- * Input format: [minibatch, B*(5+C), H, W]    ->      Reshape to [minibatch, B, 5+C, H, W]

- * B = number of bounding boxes (determined by config)

- * C = number of classes

- * H = output/label height

- * W = output/label width

- * 

- * Note that mask arrays are not required - this implementation infers the presence or absence of objects in each grid
- * cell from the class labels (which should be 1-hot if an object is present, or all 0s otherwise).
- *
- * @author Alex Black
- */
 public class Yolo2OutputLayer extends AbstractLayer implements Serializable, IOutputLayer {
     private static final Gradient EMPTY_GRADIENT = new DefaultGradient();
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/YoloUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/YoloUtils.java
index 06423a5a7..0b2aa0472 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/YoloUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/objdetect/YoloUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.objdetect;
 
@@ -32,11 +36,6 @@ import java.util.List;
 
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**
- * Functionality to interpret the network output of Yolo2OutputLayer.
- *
- * @author saudet
- */
 public class YoloUtils {
 
     /** Essentially: just apply activation functions... For NCHW format. For NCHW format, use one of the other activate methods */
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayer.java
index e6c14f2e4..2c1f36d57 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.ocnn;
 
@@ -42,13 +46,6 @@ import static org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer.R_KEY;
 import static org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer.V_KEY;
 import static org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer.W_KEY;
 
-/**
- * Layer implementation for {@link org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer}
- * See {@link org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer}
- * for details.
- *
- * @author Adam Gibson
- */
 public class OCNNOutputLayer extends BaseOutputLayer {
     @Setter
     @Getter
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNParamInitializer.java
index eea8a7dc4..959ccc103 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/ocnn/OCNNParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.ocnn;
 
@@ -31,11 +35,6 @@ import java.util.*;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 
-/**
- * Param initializer for {@link OCNNOutputLayer}
- *
- * @author Adam Gibson
- */
 public class OCNNParamInitializer extends DefaultParamInitializer {
 
     private final static OCNNParamInitializer INSTANCE = new OCNNParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingLayer.java
index 5f2a561fb..e8b8ae9a3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/pooling/GlobalPoolingLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.pooling;
 
@@ -39,33 +43,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 
 import java.util.Arrays;
 
-/**
- * Global pooling layer - used to do pooling over time for RNNs, and 2d pooling for CNNs.

- * Supports the following {@link PoolingType}s: SUM, AVG, MAX, PNORM

- *
- * Global pooling layer can also handle mask arrays when dealing with variable length inputs.

- * mask arrays are assumed to be 2d, and are fed forward through the network during
- * training or post-training forward pass:

- * - Time series (RNNs, 1d CNNs): mask arrays are shape [miniBatchSize, maxTimeSeriesLength] and contain values 0 or 1 only

- * - CNNs (2d): mask have shape [miniBatchSize, 1, height, 1] or [miniBatchSize, 1, 1, width] or [minibatch, 1, height, width].
- *   When used activations of shape [minibatch, channels, height, width] the size 1 dimensions are broadcast along the input

- * 

- *
- * Behaviour with default settings:

- * - 3d (time series) input with shape [miniBatchSize, vectorSize, timeSeriesLength] -> 2d output [miniBatchSize, vectorSize]

- * - 4d (CNN) input with shape [miniBatchSize, channels, height, width] -> 2d output [miniBatchSize, channels]

- * - 5d (CNN3D) input with shape [miniBatchSize, channels, depth, height, width] -> 2d output [miniBatchSize, channels]

- *
- * 

- * Alternatively, by setting collapseDimensions = false in the configuration, it is possible to retain the reduced dimensions
- * as 1s: this gives
- * - [miniBatchSize, vectorSize, 1] for RNN output,
- * - [miniBatchSize, channels, 1, 1] for CNN output, and
- * - [miniBatchSize, channels, 1, 1, 1] for CNN3D output.
- * 

- *
- * @author Alex Black
- */
 public class GlobalPoolingLayer extends AbstractLayer {
 
     private static final int[] DEFAULT_TIMESERIES_POOL_DIMS = new int[]{2};
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java
index 5aa5bc88c..6b02b6c6e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalLayer.java
index c33371881..a33baf754 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BidirectionalLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -45,16 +49,6 @@ import java.util.*;
 
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**
- * Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.

- * Note that multiple different modes are supported - these specify how the activations should be combined from
- * the forward and backward RNN networks. See {@link Bidirectional.Mode} javadoc for more details.

- * Parameters are not shared here - there are 2 separate copies of the wrapped RNN layer, each with separate parameters.
- * 

- * Usage: {@code .layer(new Bidirectional(new LSTM.Builder()....build())}
- *
- * @author Alex Black
- */
 public class BidirectionalLayer implements RecurrentLayer {
 
     private NeuralNetConfiguration conf;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/FwdPassReturn.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/FwdPassReturn.java
index 1abd713e7..5a1c205d5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/FwdPassReturn.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/FwdPassReturn.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
 import lombok.extern.slf4j.Slf4j;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Created by benny on 12/31/15.
- */
 @Slf4j
 public class FwdPassReturn {
     //First: needed by standard forward pass only
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTM.java
index e65786a54..99a2081dc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesBidirectionalLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -30,26 +34,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Map;
 
-/**
- *
- * RNN tutorial: https://deeplearning4j.konduit.ai/models/recurrent
- * READ THIS FIRST
- *
- * Bdirectional LSTM layer implementation.
- * Based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- * See also for full/vectorized equations (and a comparison to other LSTM variants):
- * Greff et al. 2015, "LSTM: A Search Space Odyssey", pg11. This is the "vanilla" variant in said paper
- * https://arxiv.org/pdf/1503.04069.pdf
- *
- * A high level description of bidirectional LSTM can be found from
- * "Hybrid Speech Recognition with Deep Bidirectional LSTM"
- * http://www.cs.toronto.edu/~graves/asru_2013.pdf
- *
- *
- * @author Alex Black
- * @author Benjamin Joseph
- */
 @Slf4j
 public class GravesBidirectionalLSTM
                 extends BaseRecurrentLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTM.java
index c4751f2ef..1e37cfe32 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/GravesLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -28,19 +32,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
-/**
- * LSTM layer implementation.
- * Based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- * See also for full/vectorized equations (and a comparison to other LSTM variants):
- * Greff et al. 2015, "LSTM: A Search Space Odyssey", pg11. This is the "vanilla" variant in said paper
- * https://arxiv.org/pdf/1503.04069.pdf
- *
- * @author Alex Black
- * @see LSTM LSTM class, for the version without peephole connections
- * @deprecated Will be eventually removed. Use {@link LSTM} instead, which has similar prediction accuracy, but supports
- * CuDNN for faster network training on CUDA (Nvidia) GPUs
- */
 @Deprecated
 @Slf4j
 public class GravesLSTM extends BaseRecurrentLayer {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTM.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTM.java
index b284e6bcb..bb9e87527 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTM.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -34,16 +38,6 @@ import org.nd4j.common.primitives.Pair;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.nd4j.common.util.OneTimeLogger;
 
-/**
- * LSTM layer implementation.
- *
- * See also for full/vectorized equations (and a comparison to other LSTM variants):
- * Greff et al. 2015, "LSTM: A Search Space Odyssey", pg11. This is the "no peephole" variant in said paper
- * https://arxiv.org/pdf/1503.04069.pdf
- *
- * @author Alex Black
- * @see GravesLSTM GravesLSTM class, for the version with peephole connections
- */
 @Slf4j
 public class LSTM extends BaseRecurrentLayer {
     public static final String STATE_KEY_PREV_ACTIVATION = "prevAct";
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelper.java
index 222e50185..c262997ce 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -27,11 +31,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Map;
 
-/**
- * Helper for the recurrent LSTM layer (no peephole connections).
- *
- * @author saudet
- */
 public interface LSTMHelper extends LayerHelper {
     boolean checkSupported(IActivation gateActivationFn, IActivation activationFn, boolean hasPeepholeConnections);
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelpers.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelpers.java
index b6ad1331a..a99244c13 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelpers.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LSTMHelpers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -50,28 +54,6 @@ import java.util.Map;
 
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**
- *
- * RNN tutorial: https://deeplearning4j.konduit.ai/models/recurrent
- * READ THIS FIRST if you want to understand this code.
- *
- * Shared code for the standard "forwards" LSTM RNN and the bidirectional LSTM RNN
- * This was extracted from GravesLSTM and refactored into static helper functions.  The general reasoning for this was
- * so we only have math in one place, instead of two.
- *
- * Based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- * See also for full/vectorized equations (and a comparison to other LSTM variants):
- * Greff et al. 2015, "LSTM: A Search Space Odyssey", pg11.
- * 

- * When 'hasPeepholeConnections' is true, this is the "vanilla" variant in said paper

- * When 'hasPeepholeConnections' is false, this is the "no peephole" variant

- * https://arxiv.org/pdf/1503.04069.pdf
- *
- *
- * @author Alex Black (LSTM implementations)
- * @author Benjamin Joseph (refactoring for bidirectional LSTM)
- */
 @Slf4j
 public class LSTMHelpers {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LastTimeStepLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LastTimeStepLayer.java
index 792493d2a..4656ce9d1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LastTimeStepLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/LastTimeStepLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -35,15 +39,6 @@ import java.util.Arrays;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 
-/**
- * LastTimeStep is a "wrapper" layer: it wraps any RNN layer, and extracts out the last time step during forward pass,
- * and returns it as a row vector (per example). That is, for 3d (time series) input (with shape [minibatch, layerSize,
- * timeSeriesLength]), we take the last time step and return it as a 2d array with shape [minibatch, layerSize].

- * Note that the last time step operation takes into account any mask arrays, if present: thus, variable length time
- * series (in the same minibatch) are handled as expected here.
- *
- * @author Alex Black
- */
 public class LastTimeStepLayer extends BaseWrapperLayer {
 
     private int[] lastTimeStepIdxs;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayer.java
index daf9220d9..5241d9b41 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/MaskZeroLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -30,12 +34,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import static org.deeplearning4j.nn.conf.RNNFormat.NWC;
 
-/**
- * Masks timesteps with activation equal to the specified masking value, defaulting to 0.0.
- * Assumes that the input shape is [batch_size, input_size, timesteps].
- *
- * @author Martin Boyanov mboyanov@gmail.com
- */
 public class MaskZeroLayer extends BaseWrapperLayer {
 
     private static final long serialVersionUID = -7369482676002469854L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnLossLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnLossLayer.java
index 28913681f..fb2117b9b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnLossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnLossLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -40,17 +44,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Recurrent Neural Network Loss Layer.

- * Handles calculation of gradients etc for various objective functions.

- * NOTE: Unlike {@link RnnOutputLayer} this RnnLossLayer does not have any parameters - i.e., there is no time
- * distributed dense component here. Consequently, the output activations size is equal to the input size.

- * Input and output activations are same as other RNN layers: 3 dimensions with shape
- * [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.
- *
- * @author Alex Black
- * @see RnnOutputLayer
- */
 public class RnnLossLayer extends BaseLayer implements IOutputLayer {
     @Setter @Getter protected INDArray labels;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnOutputLayer.java
index 51a602e57..edede1c1f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/RnnOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -34,15 +38,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Arrays;
 
-/**Recurrent Neural Network Output Layer.

- * Handles calculation of gradients etc for various objective functions.

- * Functionally the same as OutputLayer, but handles output and label reshaping
- * automatically.

- * Input and output activations are same as other RNN layers: 3 dimensions with shape
- * [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.
- * @author Alex Black
- * @see BaseOutputLayer, OutputLayer
- */
 public class RnnOutputLayer extends BaseOutputLayer {
 
     public RnnOutputLayer(NeuralNetConfiguration conf, DataType dataType) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/SimpleRnn.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/SimpleRnn.java
index b54be88cc..2655739c9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/SimpleRnn.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/SimpleRnn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.recurrent;
 
@@ -39,14 +43,6 @@ import org.nd4j.common.primitives.Quad;
 
 import static org.nd4j.linalg.indexing.NDArrayIndex.*;
 
-/**
- * Simple RNN - aka "vanilla" RNN is the simplest type of recurrent neural network layer.
- * It implements out_t = activationFn( in_t * inWeight + out_(t-1) * recurrentWeights + bias).
- *
- * Note that other architectures (LSTM, etc) are usually more effective, especially for longer time series
- *
- * @author Alex Black
- */
 public class SimpleRnn extends BaseRecurrentLayer {
     public static final String STATE_KEY_PREV_ACTIVATION = "prevAct";
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/TimeDistributedLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/TimeDistributedLayer.java
index c00db6821..9f9d6cb43 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/TimeDistributedLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/TimeDistributedLayer.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.layers.recurrent;
 
 import org.deeplearning4j.nn.api.Layer;
@@ -12,15 +32,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.common.util.ArrayUtil;
 
-/**
- * TimeDistributed wrapper layer.

- * Note: only the "Feed forward layer time distributed in an RNN" is currently supported.
- * For example, a time distributed dense layer.

- * Usage: {@code .layer(new TimeDistributed(new DenseLayer.Builder()....build(), timeAxis))}

- * Note that for DL4J RNNs, time axis is always 2 - i.e., RNN activations have shape [minibatch, size, sequenceLength]
- *
- * @author Alex Black
- */
 public class TimeDistributedLayer extends BaseWrapperLayer {
 
     private RNNFormat rnnDataFormat;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/DL4JSameDiffMemoryMgr.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/DL4JSameDiffMemoryMgr.java
index 1e9b0d9b4..6d3952f52 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/DL4JSameDiffMemoryMgr.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/DL4JSameDiffMemoryMgr.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.nn.layers.samediff;
 
 import org.nd4j.autodiff.samediff.internal.memory.AbstractMemoryMgr;
@@ -9,13 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * A SameDiff {@link org.nd4j.autodiff.samediff.internal.SessionMemMgr} that uses DL4J workspaces for memory management.
- * Any op outputs are allocated in the output workspace if they are returned to the layer; otherwise they are placed in
- * the DL4J working memory workspace
- *
- * @author Alex Black
- */
 public class DL4JSameDiffMemoryMgr extends AbstractMemoryMgr {
 
     private final String workingMemoryWs;
@@ -53,6 +66,15 @@ public class DL4JSameDiffMemoryMgr extends AbstractMemoryMgr {
 
     @Override
     public INDArray allocate(boolean detached, LongShapeDescriptor descriptor) {
+        if(descriptor.isEmpty()) {
+            INDArray ret =  Nd4j.create(descriptor);
+            if(detached) {
+                ret = ret.detach();
+            }
+
+            return ret;
+        }
+
         return allocate(detached, descriptor.dataType(), descriptor.getShape());
     }
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffGraphVertex.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffGraphVertex.java
index 7fc7af03f..fdb00e8fc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffGraphVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffGraphVertex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
@@ -46,12 +50,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- * Implementation of a SameDiff graph vertex.
- * Note that users should not be extending this directly - instead, use {@link SameDiffVertex}
- *
- * @author Alex Black
- */
 public class SameDiffGraphVertex extends BaseGraphVertex {
 
     protected SameDiffVertex config;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffLayer.java
index 948837166..021c1a5aa 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffOutputLayer.java
index 2b28fe952..67cf9e648 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/samediff/SameDiffOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.samediff;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/training/CenterLossOutputLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/training/CenterLossOutputLayer.java
index b251217bd..4f85849e8 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/training/CenterLossOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/training/CenterLossOutputLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.training;
 
@@ -31,17 +35,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.nn.workspace.ArrayType;
 
 
-/**
- * Center loss is similar to triplet loss except that it enforces
- * intraclass consistency and doesn't require feed forward of multiple
- * examples. Center loss typically converges faster for training
- * ImageNet-based convolutional networks.
- *
- * "If example x is in class Y, ensure that embedding(x) is close to
- * average(embedding(y)) for all examples y in Y"
- *
- * @author Justin Long (@crockpotveggies)
- */
 public class CenterLossOutputLayer extends BaseOutputLayer {
 
     private double fullNetRegTerm;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java
index 43e9b23ba..565542ab5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.util;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.learning.regularization.Regularization;
 
 import java.util.List;
 
-/**
- * Identity layer, passes data through unaltered. This is a pure utility layer needed to support
- * Keras Masking layer import. To do so we wrap this identity layer into a MaskZeroLayer and apply
- * masks accordingly.
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class IdentityLayer extends SameDiffLambdaLayer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/MaskLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/MaskLayer.java
index 98130a04f..f5d1b24cf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/MaskLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/MaskLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.util;
 
@@ -30,12 +34,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 
 import java.util.Arrays;
 
-/**
- * MaskLayer applies the mask array to the forward pass activations, and backward pass gradients, passing through
- * this layer. It can be used with 2d (feed-forward), 3d (time series) or 4d (CNN) activations.
- *
- * @author Alex Black
- */
 public class MaskLayer extends AbstractLayer {
     private Gradient emptyGradient = new DefaultGradient();
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/variational/VariationalAutoencoder.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/variational/VariationalAutoencoder.java
index 8e7cee485..5936168be 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/variational/VariationalAutoencoder.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/variational/VariationalAutoencoder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.variational;
 
@@ -53,20 +57,6 @@ import java.util.*;
 import static org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer.BIAS_KEY_SUFFIX;
 import static org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer.WEIGHT_KEY_SUFFIX;
 
-/**
- * Variational Autoencoder layer
- * 

- * See: Kingma & Welling, 2013: Auto-Encoding Variational Bayes - https://arxiv.org/abs/1312.6114
- * 

- * This implementation allows multiple encoder and decoder layers, the number and sizes of which can be set independently.
- * 

- * A note on scores during pretraining: This implementation minimizes the negative of the variational lower bound objective
- * as described in Kingma & Welling; the mathematics in that paper is based on maximization of the variational lower bound instead.
- * Thus, scores reported during pretraining in DL4J are the negative of the variational lower bound equation in the paper.
- * The backpropagation and learning procedure is otherwise as described there.
- *
- * @author Alex Black
- */
 public class VariationalAutoencoder implements Layer {
 
     protected INDArray input;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/wrapper/BaseWrapperLayer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/wrapper/BaseWrapperLayer.java
index 37338926a..80439cbc5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/wrapper/BaseWrapperLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/wrapper/BaseWrapperLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.layers.wrapper;
 
@@ -34,13 +38,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Abstract wrapper layer. The idea: this class passes through all methods to the underlying layer.
- * Then, subclasses of BaseWrapperLayer can selectively override specific methods, rather than having
- * to implement every single one of the passthrough methods in each subclass.
- *
- * @author Alex Black
- */
 @Data
 public abstract class BaseWrapperLayer implements Layer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java
index c823b3514..4b4a97c2d 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.multilayer;
 
@@ -98,14 +102,6 @@ import java.util.*;
 ;
 
 
-/**
- * MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer.

- * For neural networks with a more complex connection architecture, use {@link org.deeplearning4j.nn.graph.ComputationGraph}
- * which allows for an arbitrary directed acyclic graph connection structure between layers.
- * MultiLayerNetwork is trainable via backprop, with optional unsupervised layerwise training, depending on the type of layers it contains.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class MultiLayerNetwork implements Serializable, Classifier, Layer, NeuralNetwork {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BatchNormalizationParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BatchNormalizationParamInitializer.java
index 534f99a1d..5215e2276 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BatchNormalizationParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BatchNormalizationParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -26,10 +30,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * Batch normalization variable init
- */
-
 public class BatchNormalizationParamInitializer implements ParamInitializer {
 
     private static final BatchNormalizationParamInitializer INSTANCE = new BatchNormalizationParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java
index c52010227..a75128790 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -34,11 +38,6 @@ import java.util.Map;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 
-/**
- * Parameter initializer for bidirectional wrapper layer
- *
- * @author Alex Black
- */
 public class BidirectionalParamInitializer implements ParamInitializer {
     public static final String FORWARD_PREFIX = "f";
     public static final String BACKWARD_PREFIX = "b";
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/CenterLossParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/CenterLossParamInitializer.java
index eabb4f85d..65df1fea5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/CenterLossParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/CenterLossParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -26,12 +30,6 @@ import java.util.Collections;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * Initialize Center Loss params.
- *
- * @author Justin Long (@crockpotveggies)
- * @author Alex Black (@AlexDBlack)
- */
 public class CenterLossParamInitializer extends DefaultParamInitializer {
 
     private static final CenterLossParamInitializer INSTANCE = new CenterLossParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Convolution3DParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Convolution3DParamInitializer.java
index 054927d31..8ebabb433 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Convolution3DParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Convolution3DParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -29,11 +33,6 @@ import java.util.Collections;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * Initialize 3D convolution parameters.
- *
- * @author Adam Gibson
- */
 public class Convolution3DParamInitializer extends ConvolutionParamInitializer {
 
     private static final Convolution3DParamInitializer INSTANCE = new Convolution3DParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ConvolutionParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ConvolutionParamInitializer.java
index 78d36cdeb..4618e2c3e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ConvolutionParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ConvolutionParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * Initialize convolution params.
- *
- * @author Adam Gibson
- */
 public class ConvolutionParamInitializer implements ParamInitializer {
 
     private static final ConvolutionParamInitializer INSTANCE = new ConvolutionParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Deconvolution3DParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Deconvolution3DParamInitializer.java
index d65c0d87d..8169fec5f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Deconvolution3DParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/Deconvolution3DParamInitializer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -29,11 +33,6 @@ import java.util.Collections;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * Initialize deconv3d parameters.
- *
- * @author Alex Black
- */
 public class Deconvolution3DParamInitializer extends ConvolutionParamInitializer {
 
     private static final Deconvolution3DParamInitializer INSTANCE = new Deconvolution3DParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DeconvolutionParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DeconvolutionParamInitializer.java
index 67ae7d37c..a39a1f454 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DeconvolutionParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DeconvolutionParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DefaultParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DefaultParamInitializer.java
index f30992717..b41f05b4e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DefaultParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DefaultParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -27,10 +31,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * Static weight initializer with just a weight matrix and a bias
- * @author Adam Gibson
- */
 public class DefaultParamInitializer implements ParamInitializer {
 
     private static final DefaultParamInitializer INSTANCE = new DefaultParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DepthwiseConvolutionParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DepthwiseConvolutionParamInitializer.java
index 220f591b3..af5ce819d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DepthwiseConvolutionParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DepthwiseConvolutionParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * Initialize depth-wise convolution parameters.
- *
- * @author Max Pumperla
- */
 public class DepthwiseConvolutionParamInitializer implements ParamInitializer {
 
     private static final DepthwiseConvolutionParamInitializer INSTANCE = new DepthwiseConvolutionParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ElementWiseParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ElementWiseParamInitializer.java
index 3158b36dc..7245d6dab 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ElementWiseParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ElementWiseParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -28,9 +32,6 @@ import java.util.Collections;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * created by jingshu
- */
 public class ElementWiseParamInitializer extends DefaultParamInitializer{
 
     private static final ElementWiseParamInitializer INSTANCE = new ElementWiseParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmbeddingLayerParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmbeddingLayerParamInitializer.java
index ab50e44f0..9581b30bf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmbeddingLayerParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmbeddingLayerParamInitializer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.nn.params;
 
 import lombok.val;
@@ -20,11 +24,6 @@ import org.deeplearning4j.nn.weights.IWeightInit;
 import org.deeplearning4j.nn.weights.WeightInitUtil;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Parameter initializer for EmbeddingLayer and EmbeddingSequenceLayer
- *
- * @author Alex Black
- */
 public class EmbeddingLayerParamInitializer extends DefaultParamInitializer {
 
     private static final EmbeddingLayerParamInitializer INSTANCE = new EmbeddingLayerParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmptyParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmptyParamInitializer.java
index e3a915643..7ec9ea885 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmptyParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/EmptyParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerParamInitializer.java
index 864194ba9..71bff7702 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -26,11 +30,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Parameter initializer for {@link FrozenLayer} instances. Relies on underlying layer's param initializer.
- *
- * @author Alex Black
- */
 public class FrozenLayerParamInitializer implements ParamInitializer {
 
     private static final FrozenLayerParamInitializer INSTANCE = new FrozenLayerParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerWithBackpropParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerWithBackpropParamInitializer.java
index 6c266ad51..5aa01b3e4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerWithBackpropParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/FrozenLayerWithBackpropParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -27,13 +31,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Parameter initializer for {@link FrozenLayer} instances. Relies on underlying layer's param initializer.
- * This is alost a line for line copy of {@link FrozenLayerParamInitializer}, just uses FrozenLayerWithBackprop instead
- * of FrozenLayer
- *
- * @author Ugljesa Jovanovic
- */
 public class FrozenLayerWithBackpropParamInitializer implements ParamInitializer {
 
     private static final FrozenLayerWithBackpropParamInitializer INSTANCE = new FrozenLayerWithBackpropParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesBidirectionalLSTMParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesBidirectionalLSTMParamInitializer.java
index fa379b937..de437ee6d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesBidirectionalLSTMParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesBidirectionalLSTMParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * LSTM Parameter initializer, for LSTM based on
- * Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- */
 public class GravesBidirectionalLSTMParamInitializer implements ParamInitializer {
 
     private static final GravesBidirectionalLSTMParamInitializer INSTANCE =
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesLSTMParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesLSTMParamInitializer.java
index 46f6af7f6..37e4d1cdf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesLSTMParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/GravesLSTMParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -29,10 +33,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**LSTM Parameter initializer, for LSTM based on
- * Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- */
 public class GravesLSTMParamInitializer implements ParamInitializer {
 
     private static final GravesLSTMParamInitializer INSTANCE = new GravesLSTMParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/LSTMParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/LSTMParamInitializer.java
index 327596fb9..2a7418957 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/LSTMParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/LSTMParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -30,10 +34,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**LSTM Parameter initializer, for LSTM based on
- * Graves: Supervised Sequence Labelling with Recurrent Neural Networks
- * http://www.cs.toronto.edu/~graves/phd.pdf
- */
 public class LSTMParamInitializer implements ParamInitializer {
 
     private static final LSTMParamInitializer INSTANCE = new LSTMParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PReLUParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PReLUParamInitializer.java
index 8927fbe0a..05e723eed 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PReLUParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PReLUParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -32,12 +36,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * PReLU weight initializer. PReLU layer has weights of input shape (excluding mini-batch
- * dimension).
- *
- * @author Max Pumperla
- */
 public class PReLUParamInitializer implements ParamInitializer {
 
     public final static String WEIGHT_KEY = "W";
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PretrainParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PretrainParamInitializer.java
index 7391da93d..c794a452c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PretrainParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/PretrainParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SameDiffParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SameDiffParamInitializer.java
index 9c96b8f87..2b9c3484c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SameDiffParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SameDiffParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SeparableConvolutionParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SeparableConvolutionParamInitializer.java
index 796bf29d7..bb7dabb4e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SeparableConvolutionParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SeparableConvolutionParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.*;
 
-/**
- * Initialize separable convolution params.
- *
- * @author Max Pumperla
- */
 public class SeparableConvolutionParamInitializer implements ParamInitializer {
 
     private static final SeparableConvolutionParamInitializer INSTANCE = new SeparableConvolutionParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java
index 9f0ab62d3..f3fbf1e11 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/VariationalAutoencoderParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/VariationalAutoencoderParamInitializer.java
index 59ecf39f0..399bf3a47 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/VariationalAutoencoderParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/VariationalAutoencoderParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
@@ -30,13 +34,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Parameter initializer for the Variational Autoencoder model.
- *
- * See: Kingma & Welling, 2013: Auto-Encoding Variational Bayes - https://arxiv.org/abs/1312.6114
- *
- * @author Alex Black
- */
 public class VariationalAutoencoderParamInitializer extends DefaultParamInitializer {
 
     private static final VariationalAutoencoderParamInitializer INSTANCE = new VariationalAutoencoderParamInitializer();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/WrapperLayerParamInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/WrapperLayerParamInitializer.java
index 9235f36da..234226eb4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/WrapperLayerParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/WrapperLayerParamInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.params;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/FineTuneConfiguration.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/FineTuneConfiguration.java
index 78a844ba5..71678f380 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/FineTuneConfiguration.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/FineTuneConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -49,12 +53,6 @@ import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Configuration for fine tuning. Note that values set here will override values for all non-frozen layers
- *
- * @author Alex Black
- * @author Susan Eraly
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "type")
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearning.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearning.java
index 6b3050db2..ec64afe2c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearning.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearning.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -43,14 +47,6 @@ import org.nd4j.common.primitives.Triple;
 
 import java.util.*;
 
-/**
- * The transfer learning API can be used to modify the architecture or the learning parameters of an existing multilayernetwork or computation graph.
- * It allows one to
- *  - change nOut of an existing layer
- *  - remove and add existing layers/vertices
- *  - fine tune learning configuration (learning rate, updater etc)
- *  - hold parameters for specified layers as a constant
- */
 @Slf4j
 public class TransferLearning {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelper.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelper.java
index 28ce92a01..f6f3a35c1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelper.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/transferlearning/TransferLearningHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.transferlearning;
 
@@ -32,19 +36,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
 import java.util.*;
 
-/**
- * This class is intended for use with the transfer learning API.
- * Often times transfer learning models have "frozen" layers where parameters are held constant during training
- * For ease of training and quick turn around times, the dataset to be trained on can be featurized and saved to disk.
- * Featurizing in this case refers to conducting a forward pass on the network and saving the activations from the output
- * of the frozen layers.
- * During training the forward pass and the backward pass through the frozen layers can be skipped entirely and the "featurized"
- * dataset can be fit with the smaller unfrozen part of the computation graph which allows for quicker iterations.
- * The class internally traverses the computation graph/MLN and builds an instance of the computation graph/MLN that is
- * equivalent to the unfrozen subset.
- *
- * @author susaneraly
- */
 public class TransferLearningHelper {
 
     private boolean isGraph = true;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/BaseMultiLayerUpdater.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/BaseMultiLayerUpdater.java
index 6fc0378a2..b2d12a620 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/BaseMultiLayerUpdater.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/BaseMultiLayerUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
@@ -39,18 +43,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 
 import java.util.*;
 
-/**
- * BaseMultiLayerUpdater - core functionality for applying updaters to MultiLayerNetwork and ComputationGraph.
- * 

- * This implements updater combining: that is, for any layers (and variables) that:

- * (a) have contiguous parameters/gradients in the view arrays, and

- * (b) have identical updater configuration (including updater, LR, LR/momentum schedules, etc - different L1/L2 are OK,
- *     however)

- * are combined into a single {@link org.nd4j.linalg.learning.GradientUpdater} operation, instead of having a set of
- * smaller operations. A smaller number of larger operations improves performance, especially for GPUs.
- *
- * @author Alex Black
- */
 @Getter
 public abstract class BaseMultiLayerUpdater implements Updater {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/LayerUpdater.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/LayerUpdater.java
index 25327f634..87c791c54 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/LayerUpdater.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/LayerUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.HashMap;
 
-/**
- * Updater for a single layer, excluding MultiLayerNetwork (which also implements the Layer interface)
- *
- * @author Alex Black
- */
 @Slf4j
 public class LayerUpdater extends BaseMultiLayerUpdater {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/MultiLayerUpdater.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/MultiLayerUpdater.java
index f2b6ce0e9..58f64f66f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/MultiLayerUpdater.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/MultiLayerUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.HashMap;
 
-/**
- * MultiLayerUpdater: Gradient updater for MultiLayerNetworks.
- * Expects backprop gradients for all layers to be in single Gradient object,
- * keyed by "0_b", "1_w" etc., as per MultiLayerNetwork.backward()
- *
- * @author Alex Black
- */
 @Getter
 @Slf4j
 public class MultiLayerUpdater extends BaseMultiLayerUpdater {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java
index e5c886d3a..3366a48f9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
@@ -34,12 +38,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * UpdaterBlock: used in {@link BaseMultiLayerUpdater}, this class implements updating (i.e., Adam, RMSProp, Momentum,
- * etc) across multiple contiguous layers/parameters, as described in the {@link BaseMultiLayerUpdater} javadoc.
- *
- * @author Alex Black
- */
 @Data
 public class UpdaterBlock {
     private int paramOffsetStart;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterCreator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterCreator.java
index 91ecba74f..3194de852 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterCreator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterCreator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterUtils.java
index b3b13939a..73bd5410e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater;
 
@@ -20,9 +24,6 @@ import org.deeplearning4j.nn.api.Trainable;
 import org.deeplearning4j.nn.api.TrainingConfig;
 import org.nd4j.linalg.learning.config.IUpdater;
 
-/**
- * Created by Alex on 14/04/2017.
- */
 public class UpdaterUtils {
 
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/graph/ComputationGraphUpdater.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/graph/ComputationGraphUpdater.java
index a25295942..6af2901d6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/graph/ComputationGraphUpdater.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/graph/ComputationGraphUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.updater.graph;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Arrays;
 import java.util.HashMap;
 
-/**
- * Gradient updater for ComputationGraph. Most of the functionality is shared with
- * {@link org.deeplearning4j.nn.updater.MultiLayerUpdater} via {@link BaseMultiLayerUpdater}
- *
- * @author Alex Black
- */
 public class ComputationGraphUpdater extends BaseMultiLayerUpdater {
 
     protected Trainable[] orderedLayers;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/IWeightInit.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/IWeightInit.java
index a99120e36..0b67fa165 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/IWeightInit.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/IWeightInit.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -22,11 +26,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * Interface for weight initialization.
- *
- * @author Christian Skarby
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 @JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE,
         setterVisibility = JsonAutoDetect.Visibility.NONE)
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInit.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInit.java
index 435e148a1..50d03d7aa 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInit.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInit.java
@@ -1,71 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
 import org.deeplearning4j.nn.conf.distribution.Distribution;
 
-/**
- * Weight initialization scheme
- * 

- * DISTRIBUTION: Sample weights from a provided distribution

- * 

- * ZERO: Generate weights as zeros

- * 

- * ONES: All weights are set to 1
- * 

- * SIGMOID_UNIFORM: A version of XAVIER_UNIFORM for sigmoid activation functions. U(-r,r) with r=4*sqrt(6/(fanIn + fanOut))
- * 

- * NORMAL: Normal/Gaussian distribution, with mean 0 and standard deviation 1/sqrt(fanIn).
- * This is the initialization recommented in Klambauer et al. 2017, "Self-Normalizing Neural Network". Equivalent to
- * DL4J's XAVIER_FAN_IN and LECUN_NORMAL (i.e. Keras' "lecun_normal")
- * 

- * LECUN_UNIFORM Uniform U[-a,a] with a=3/sqrt(fanIn).
- * 

- * UNIFORM: Uniform U[-a,a] with a=1/sqrt(fanIn). "Commonly used heuristic" as per Glorot and Bengio 2010
- * 

- * XAVIER: As per Glorot and Bengio 2010: Gaussian distribution with mean 0, variance 2.0/(fanIn + fanOut)
- * 

- * XAVIER_UNIFORM: As per Glorot and Bengio 2010: Uniform distribution U(-s,s) with s = sqrt(6/(fanIn + fanOut))
- * 

- * XAVIER_FAN_IN: Similar to Xavier, but 1/fanIn -> Caffe originally used this.
- * 

- * XAVIER_LEGACY: Xavier weight init in DL4J up to 0.6.0. XAVIER should be preferred.
- * 

- * RELU: He et al. (2015), "Delving Deep into Rectifiers". Normal distribution with variance 2.0/nIn
- * 

- * RELU_UNIFORM: He et al. (2015), "Delving Deep into Rectifiers". Uniform distribution U(-s,s) with s = sqrt(6/fanIn)
- * 

- * IDENTITY: Weights are set to an identity matrix. Note: can only be used with square weight matrices
- * 

- * VAR_SCALING_NORMAL_FAN_IN Gaussian distribution with mean 0, variance 1.0/(fanIn)
- * 

- * VAR_SCALING_NORMAL_FAN_OUT Gaussian distribution with mean 0, variance 1.0/(fanOut)
- * 

- * VAR_SCALING_NORMAL_FAN_AVG Gaussian distribution with mean 0, variance 1.0/((fanIn + fanOut)/2)
- * 

- * VAR_SCALING_UNIFORM_FAN_IN Uniform U[-a,a] with a=3.0/(fanIn)
- * 

- * VAR_SCALING_UNIFORM_FAN_OUT Uniform U[-a,a] with a=3.0/(fanOut)
- * 

- * VAR_SCALING_UNIFORM_FAN_AVG Uniform U[-a,a] with a=3.0/((fanIn + fanOut)/2)
- * 

- *
- * @author Adam Gibson
- */
 public enum WeightInit {
     DISTRIBUTION, ZERO, ONES, SIGMOID_UNIFORM, NORMAL, LECUN_NORMAL, UNIFORM, XAVIER, XAVIER_UNIFORM, XAVIER_FAN_IN, XAVIER_LEGACY, RELU,
     RELU_UNIFORM, IDENTITY, LECUN_UNIFORM, VAR_SCALING_NORMAL_FAN_IN, VAR_SCALING_NORMAL_FAN_OUT, VAR_SCALING_NORMAL_FAN_AVG,
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitConstant.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitConstant.java
index 473107d53..40ba9755c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitConstant.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitConstant.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
 import lombok.EqualsAndHashCode;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Initialize to a constant value (deafult 0).
- *
- * @author Christian Skarby
- */
 @EqualsAndHashCode
 public class WeightInitConstant implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitDistribution.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitDistribution.java
index 89cfefbee..fbd292265 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitDistribution.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -23,13 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Sample weights from a provided {@link Distribution}

- * Note that Distribution is not extendable as it is interpreted through
- * {@link Distributions#createDistribution(Distribution)}. This class basically exists for legacy reasons.
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class WeightInitDistribution implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitIdentity.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitIdentity.java
index b25121cd3..95996c7df 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitIdentity.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitIdentity.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -27,14 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * Weights are set to an identity matrix. Note: can only be used when nIn==nOut.
- * For Dense layers, this means square weight matrix
- * For convolution layers, an additional constraint is that kernel size must be odd length in all dimensions.
- * the we
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 public class WeightInitIdentity implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitLecunUniform.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitLecunUniform.java
index 9d619defb..05bb63c0e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitLecunUniform.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitLecunUniform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitNormal.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitNormal.java
index 1936315fb..76a635749 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitNormal.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitNormal.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitRelu.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitRelu.java
index 5799ec7f3..340d0626b 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitRelu.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitRelu.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -21,11 +25,6 @@ import org.apache.commons.math3.util.FastMath;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * : He et al. (2015), "Delving Deep into Rectifiers". Normal distribution with variance 2.0/nIn
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class WeightInitRelu implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitReluUniform.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitReluUniform.java
index ffccfdb9a..9801e20b8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitReluUniform.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitReluUniform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -20,11 +24,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * He et al. (2015), "Delving Deep into Rectifiers". Uniform distribution U(-s,s) with s = sqrt(6/fanIn)
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class WeightInitReluUniform implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitSigmoidUniform.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitSigmoidUniform.java
index c0124fc9e..4b401cbc2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitSigmoidUniform.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitSigmoidUniform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -20,11 +24,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * A version of {@link WeightInitXavierUniform} for sigmoid activation functions. U(-r,r) with r=4sqrt(6/(fanIn + fanOut))
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class WeightInitSigmoidUniform implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUniform.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUniform.java
index ebfff6b35..71d2be216 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUniform.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUniform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -20,11 +24,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Uniform U[-a,a] with a=1/sqrt(fanIn). "Commonly used heuristic" as per Glorot and Bengio 2010
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class WeightInitUniform implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUtil.java
index ab2692656..fb8890237 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanAvg.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanAvg.java
index 3b9698f10..47167cc89 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanAvg.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanAvg.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Truncated aussian distribution with mean 0, variance 1.0/((fanIn + fanOut)/2)
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 public class WeightInitVarScalingNormalFanAvg implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanIn.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanIn.java
index dca457de3..f19667bb4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanIn.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanIn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Gaussian distribution with mean 0, variance {@code 1.0/(fanIn)}

- * If a scale is provided, use variance {@code scale/(fanIn)} instead
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 public class WeightInitVarScalingNormalFanIn implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanOut.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanOut.java
index 0af43ac88..300601b68 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanOut.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingNormalFanOut.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -24,12 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Truncated normal distribution with mean 0, variance 1.0/(fanOut)

- * If a scale is provided, variance is scale / fanOut
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 public class WeightInitVarScalingNormalFanOut implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanAvg.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanAvg.java
index f2e050e6e..87036d2c5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanAvg.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanAvg.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanIn.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanIn.java
index 7135394a7..0d47c80e9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanIn.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanIn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -22,12 +26,6 @@ import lombok.NoArgsConstructor;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Uniform U[-a,a] with a=3.0/(fanIn)

- * If a scale is provided, a = 3.0 * scale / (fanIn)
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 @Data
 public class WeightInitVarScalingUniformFanIn implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanOut.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanOut.java
index 09bf2053d..c853cb631 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanOut.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitVarScalingUniformFanOut.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -22,12 +26,6 @@ import lombok.NoArgsConstructor;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Uniform U[-a,a] with a=3.0/(fanOut)

- * If a scale is provided, a = 3.0 * scale / fanOut
- *
- * @author Adam Gibson
- */
 @Data
 @NoArgsConstructor
 public class WeightInitVarScalingUniformFanOut implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavier.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavier.java
index d67b2a386..8d9cbf8f6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavier.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavier.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
@@ -21,11 +25,6 @@ import org.apache.commons.math3.util.FastMath;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * As per Glorot and Bengio 2010: Gaussian distribution with mean 0, variance 2.0/(fanIn + fanOut)
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class WeightInitXavier implements IWeightInit {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierLegacy.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierLegacy.java
index 560c450ea..e2b544bc5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierLegacy.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierLegacy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierUniform.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierUniform.java
index 247ea0a4a..a18bf5f46 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierUniform.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/WeightInitXavierUniform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/ArrayEmbeddingInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/ArrayEmbeddingInitializer.java
index 6b32adb8d..50baed28d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/ArrayEmbeddingInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/ArrayEmbeddingInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights.embeddings;
 
@@ -21,11 +25,6 @@ import lombok.NonNull;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Embedding layer initialization from a specified array
- *
- * @author Alex Black
- */
 @EqualsAndHashCode
 public class ArrayEmbeddingInitializer implements EmbeddingInitializer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/EmbeddingInitializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/EmbeddingInitializer.java
index 73d4a0b5f..ccad6edbf 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/EmbeddingInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/EmbeddingInitializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights.embeddings;
 
@@ -21,9 +25,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * An interface implemented by things like Word2Vec etc that allows them to be used as weight
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface EmbeddingInitializer extends Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/WeightInitEmbedding.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/WeightInitEmbedding.java
index fbca5a8fa..889443510 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/WeightInitEmbedding.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/weights/embeddings/WeightInitEmbedding.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.weights.embeddings;
 
@@ -24,16 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Weight initialization for initializing the parameters of an EmbeddingLayer from a {@link EmbeddingInitializer}
- *
- * Note: WeightInitEmbedding supports both JSON serializable and non JSON serializable initializations.
- * In the case of non-JSON serializable embeddings, they are a one-time only use: once they have been used
- * to initialize the parameters, they will be removed from the WeightInitEmbedding instance.
- * This is to prevent unnecessary references to potentially large objects in memory (i.e., to avoid memory leaks)
- *
- * @author Alex Black
- */
 @JsonIgnoreProperties("nonSerializableInit")
 @EqualsAndHashCode
 public class WeightInitEmbedding implements IWeightInit {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/ArrayType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/ArrayType.java
index 4e0e908f7..034cd99c5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/ArrayType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/ArrayType.java
@@ -1,44 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.workspace;
 
-/**
- * Array type enumeration for use with {@link LayerWorkspaceMgr}

- * 

- * Array types:

- * INPUT: The array set to the input field of a layer (i.e., input activations)

- * ACTIVATIONS: The output activations for a layer's feed-forward method

- * ACTIVATION_GRAD: Activation gradient arrays - aka "epsilons" - output from a layer's backprop method

- * FF_WORKING_MEM: Working memory during feed-forward. Arrays allocated here will be invalidated once a layer's
- *                 feed-forward method returns.

- * BP_WORKING_MEM: Working memory during backprop. Arrays allocated here will be invalidated once a layer's backprop
- *                 method returns

- * RNN_FF_LOOP_WORKING_MEM: Working memory during a single time step of RNN forward pass. Opened/closed once per timestep
- *                 for RNN layers only.

- * RNN_BP_LOOP_WORKING_MEM Working memory during a single time step of RNN backward pass. Opened/closed once per timestep
- *                 for RNN layers only.

- * UPDATER_WORKING_MEM: Working memory for updaters (like {@link org.nd4j.linalg.learning.config.Adam},
- *                 {@link org.nd4j.linalg.learning.config.Nesterovs} etc.

- * FF_CACHE: Only used in some layers, and when {@link org.deeplearning4j.nn.conf.CacheMode} is not set to NONE. Used
- *                 to increase performance at the expense of memory, by storing partial activations from forward
- *                 pass, so they don't need to be recalculated during backprop
- *
- * @author Alex Black
- */
 public enum ArrayType {
     INPUT,
     ACTIVATIONS,
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/LayerWorkspaceMgr.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/LayerWorkspaceMgr.java
index 5ce11cf5c..23a801ea7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/LayerWorkspaceMgr.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/workspace/LayerWorkspaceMgr.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.nn.workspace;
 
@@ -28,12 +32,6 @@ import org.nd4j.linalg.workspace.WorkspaceMgr;
 
 import java.util.*;
 
-/**
- * {@link WorkspaceMgr} for DL4J layers.
- * Used to flexibly specify which workspaces a given array type (defined by {@link ArrayType}) should be placed in
- *
- * @author Alex Black
- */
 public class LayerWorkspaceMgr extends BaseWorkspaceMgr {
     public static String CUDNN_WORKSPACE_KEY = "CUDNN_WORKSPACE";
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/Solver.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/Solver.java
index 4c24e58b7..9f1a64de9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/Solver.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/Solver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize;
 
@@ -35,10 +39,6 @@ import java.util.Arrays;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * Generic purpose solver
- * @author Adam Gibson
- */
 public class Solver {
     private NeuralNetConfiguration conf;
     private Collection listeners;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/BaseTrainingListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/BaseTrainingListener.java
index 2068ca510..c7d755187 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/BaseTrainingListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/BaseTrainingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A no-op implementation of a {@link TrainingListener} to be used as a starting point for custom training callbacks.
- *
- * Extend this and selectively override the methods you will actually use.
- */
 public abstract class BaseTrainingListener implements TrainingListener {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/ConvexOptimizer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/ConvexOptimizer.java
index 3eb28c939..c32a0fac3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/ConvexOptimizer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/ConvexOptimizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
@@ -29,10 +33,6 @@ import org.nd4j.common.primitives.Pair;
 import java.io.Serializable;
 import java.util.Collection;
 
-/**
- * Convex optimizer.
- * @author Adam Gibson
- */
 public interface ConvexOptimizer extends Serializable {
     /**
      * The score for the optimizer so far
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/InvocationType.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/InvocationType.java
index 8a088befb..12df889b9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/InvocationType.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/InvocationType.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
-/**
- * This enum holds options for TrainingListener invocation scheme
- *
- * @author raver119@gmail.com
- */
 public enum InvocationType {
     /**
      * Iterator will be called on start of epoch.
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/IterationListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/IterationListener.java
index 8d90c6d0a..085d734b1 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/IterationListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/IterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
@@ -21,12 +25,6 @@ import org.deeplearning4j.nn.api.Model;
 
 import java.io.Serializable;
 
-/**
- * Each iteration the listener is called, mainly used for debugging or visualizations
- * @author Adam Gibson
- *
- * @deprecated Use {@link TrainingListener} instead
- */
 @Deprecated
 public abstract class IterationListener extends BaseTrainingListener implements Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/LineOptimizer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/LineOptimizer.java
index 3f3932d8f..e76c45954 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/LineOptimizer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/LineOptimizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
@@ -22,11 +26,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.io.Serializable;
 
-/**
- * Line optimizer interface adapted from mallet
- * @author Adam Gibson
- *
- */
 public interface LineOptimizer extends Serializable {
     /**
      * Line optimizer
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/StepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/StepFunction.java
index a07f48038..6d5948fec 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/StepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/StepFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * Custom step function for line search
- *
- * @author Adam Gibson
- */
 public interface StepFunction extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/TrainingListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/TrainingListener.java
index 04666ace2..7c96fd750 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/TrainingListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/api/TrainingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.api;
 
@@ -24,14 +28,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A listener interface for training DL4J models.

- * The methods here will be called at various points during training, and only during training.

- * Note that users can extend {@link BaseTrainingListener} and selectively override the required methods,
- * instead of implementing TrainingListener directly and having a number of no-op methods.
- *
- * @author Alex Black
- */
 public interface TrainingListener {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/Checkpoint.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/Checkpoint.java
index a50bad242..0ea277eb0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/Checkpoint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/Checkpoint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -22,11 +26,6 @@ import lombok.Data;
 import java.io.Serializable;
 import java.util.Arrays;
 
-/**
- * A model checkpoint, used with {@link CheckpointListener}
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class Checkpoint implements Serializable {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CheckpointListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CheckpointListener.java
index a61f37e14..b96a7ce9f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CheckpointListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CheckpointListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -32,57 +36,6 @@ import java.nio.charset.Charset;
 import java.util.*;
 import java.util.concurrent.TimeUnit;
 
-/**
- *
- * CheckpointListener: The goal of this listener is to periodically save a copy of the model during training..

- * Model saving may be done:

- * 1. Every N epochs

- * 2. Every N iterations

- * 3. Every T time units (every 15 minutes, for example)

- * Or some combination of the 3.

- * 

- * Models can be restored using {@link #loadCheckpointMLN(Checkpoint)} and {@link #loadCheckpointCG(Checkpoint)}.
- * Model files can be obtained using {@link #getFileForCheckpoint(Checkpoint)}

- * Checkpoints can be obtained using {@link #lastCheckpoint()} and {@link #availableCheckpoints()}
- * 

- * Example 1: Saving a checkpoint every 2 epochs, keep all model files
- * 
- * {@code CheckpointListener l = new CheckpointListener.Builder("/save/directory")
- *       .keepAll() //Don't delete any models
- *       .saveEveryNEpochs(2)
- *       .build()
- * }
- * 

- * 

- * Example 2: Saving a checkpoint every 1000 iterations, but keeping only the last 3 models (all older model
- * files will be automatically deleted)
- * 
- * {@code CheckpointListener l = new CheckpointListener.Builder(new File("/save/directory"))
- *          .keepLast(3)
- *          .saveEveryNIterations(1000)
- *          .build();
- * }
- * 

- * 

- * Example 3: Saving a checkpoint every 15 minutes, keeping the most recent 3 and otherwise every 4th checkpoint
- * file:
- * 
- * {@code CheckpointListener l = new CheckpointListener.Builder(new File("/save/directory"))
- *          .keepLastAndEvery(3, 4)
- *          .saveEvery(15, TimeUnit.MINUTES)
- *          .build();
- * }
- * 

- * 

- * Note that you can mix these: for example, to save every epoch and every 15 minutes (independent of last save time):

- * {@code .saveEveryEpoch().saveEvery(15, TimeUnit.MINUTES)}

- * To save every epoch, and every 15 minutes, since the last model save use:

- * {@code .saveEveryEpoch().saveEvery(15, TimeUnit.MINUTES, true)}

- * Note that is this last example, the sinceLast parameter is true. This means the 15-minute counter will be
- * reset any time a model is saved.

- *
- * @author Alex Black
- */
 @Slf4j
 public class CheckpointListener extends BaseTrainingListener implements Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresIterationListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresIterationListener.java
index 97ac32d8b..3112e559c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresIterationListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresIterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -27,12 +31,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * CollectScoresIterationListener simply stores the model scores internally (along with the iteration) every 1 or N
- * iterations (this is configurable). These scores can then be obtained or exported.
- *
- * @author Alex Black
- */
 public class CollectScoresIterationListener extends BaseTrainingListener {
 
     private int frequency;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresListener.java
index fe3ae20d7..4f6d17b3c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/CollectScoresListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -27,11 +31,6 @@ import org.deeplearning4j.optimize.api.BaseTrainingListener;
 
 import java.io.Serializable;
 
-/**
- * A simple listener that collects scores to a list every N iterations. Can also optionally log the score.
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @Slf4j
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ComposableIterationListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ComposableIterationListener.java
index 7b80cf5d2..3b82fc6b2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ComposableIterationListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ComposableIterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -25,11 +29,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Collection;
 
-/**
- * A group of listeners
- * @author Adam Gibson
- * @deprecated Not required - DL4J networks can use multiple listeners simultaneously
- */
 @Deprecated
 public class ComposableIterationListener extends BaseTrainingListener implements Serializable {
     private Collection listeners = new ArrayList<>();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/EvaluativeListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/EvaluativeListener.java
index c632a2c22..a05d14a87 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/EvaluativeListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/EvaluativeListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -39,13 +43,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This TrainingListener implementation provides simple way for model evaluation during training.
- * It can be launched every Xth Iteration/Epoch, depending on frequency and InvocationType constructor arguments
- *
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class EvaluativeListener extends BaseTrainingListener {
     protected transient ThreadLocal iterationCount = new ThreadLocal<>();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/FailureTestingListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/FailureTestingListener.java
index 9cb012c45..873311339 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/FailureTestingListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/FailureTestingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -31,30 +35,6 @@ import java.io.Serializable;
 import java.net.InetAddress;
 import java.util.*;
 
-/**
- * WARNING: THIS LISTENER SHOULD ONLY BE USED FOR MANUAL TESTING PURPOSES

- * It intentionally causes various types of failures according to some criteria, in order to test the response
- * to it.

- * This is useful for example in:
- * (a) Testing Spark fault tolerance

- * (b) Testing OOM exception crash dump information

- * Generally it should not be used in unit tests either, depending on how it is configured.

- * 

- * Two aspects need to be configured to use this listener:
- * 1. If/when the "failure" should be triggered - via FailureTrigger classes

- * 2. The type of failure when triggered - via FailureMode enum

- * 

- * To specify if/when a failure should be triggered, use a {@link FailureTrigger} instance. Some built-in ones
- * are provided, random probability, time since initialized, username, and iteration/epoch count.
- * 

- * Types of failures available:

- * - OOM (allocate large arrays in loop until OOM).

- * - System.exit(1)

- * - IllegalStateException

- * - Infinite sleep

- *
- * @author Alex Black
- */
 @Slf4j
 public class FailureTestingListener implements TrainingListener, Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/PerformanceListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/PerformanceListener.java
index 9ff5993c3..ccf625658 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/PerformanceListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/PerformanceListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -36,11 +40,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Simple IterationListener that tracks time spend on training per iteration.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class PerformanceListener extends BaseTrainingListener implements Serializable {
     private final int frequency;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ScoreIterationListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ScoreIterationListener.java
index c38a3da1b..6568d2f67 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ScoreIterationListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/ScoreIterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -24,12 +28,6 @@ import org.slf4j.LoggerFactory;
 
 import java.io.Serializable;
 
-/**
- * Score iteration listener. Reports the score (value of the loss function )of the network during training every
- * N iterations
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class ScoreIterationListener extends BaseTrainingListener implements Serializable {
     private int printIterations = 10;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SharedGradient.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SharedGradient.java
index 4b75b3360..816df9591 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SharedGradient.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SharedGradient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -21,10 +25,6 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SleepyTrainingListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SleepyTrainingListener.java
index 70cca449e..4c262a64c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SleepyTrainingListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/SleepyTrainingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -28,15 +32,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This TrainingListener implementation provides a way to "sleep" during specific Neural Network training phases.

- * Suitable for debugging/testing purposes only.
- *
- * PLEASE NOTE: All timers treat time values as milliseconds.
- * PLEASE NOTE: Do not use it in production environment.
- *
- * @author raver119@gmail.com
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Data
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/TimeIterationListener.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/TimeIterationListener.java
index be082d06b..0dc166a3f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/TimeIterationListener.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/TimeIterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners;
 
@@ -26,12 +30,6 @@ import java.io.Serializable;
 import java.util.Date;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Time Iteration Listener.
- * This listener displays into INFO logs the remaining time in minutes and the date of the end of the process.
- * Remaining time is estimated from the amount of time for training so far, and the total number of iterations
- * specified by the user
- */
 @Slf4j
 public class TimeIterationListener extends BaseTrainingListener implements Serializable {
     private long start;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/EvaluationCallback.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/EvaluationCallback.java
index 61a76da07..6cb756bb8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/EvaluationCallback.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/EvaluationCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners.callbacks;
 
@@ -20,13 +24,6 @@ import org.deeplearning4j.nn.api.Model;
 import org.deeplearning4j.optimize.listeners.EvaluativeListener;
 import org.nd4j.evaluation.IEvaluation;
 
-/**
- * This interface describes callback, which can be used with EvaluativeListener, to extend its functionality.
- *
- * PLEASE NOTE: This callback will be invoked AFTER evaluation finished for all evaluators.
- *
- * @author raver119@gmail.com
- */
 public interface EvaluationCallback {
 
     void call(EvaluativeListener listener, Model model, long invocationsCount, IEvaluation[] evaluations);
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/ModelSavingCallback.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/ModelSavingCallback.java
index 50d53252e..df46f1fc6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/ModelSavingCallback.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/callbacks/ModelSavingCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.listeners.callbacks;
 
@@ -27,15 +31,6 @@ import org.nd4j.evaluation.IEvaluation;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * This callback will save model after each EvaluativeListener invocation.
- *
- * Filename template respects %d pattern, which will be replaced with integer value representing invocation number (not iteration!).
- * I.e. if EvaluativeListener has frequency set to 50, it will be invoked once every 50 iterations, each invocation will increment number by 1. So, after 500 epochs there will be 10 invocations in total, and 10 models will be saved.
- *
- * PLEASE NOTE:
- * @author raver119@gmail.com
- */
 public class ModelSavingCallback implements EvaluationCallback {
     protected File rootFolder;
     protected String template;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BackTrackLineSearch.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BackTrackLineSearch.java
index f6020e11f..39c9f8da2 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BackTrackLineSearch.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BackTrackLineSearch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers;
 
@@ -38,26 +42,6 @@ import org.slf4j.LoggerFactory;
 import static org.nd4j.linalg.ops.transforms.Transforms.abs;
 
 
-// "Line Searches and Backtracking", p385, "Numeric Recipes in C"
-
-/**
- @author Aron Culotta culotta@cs.umass.edu
-
- Adapted from mallet with original authors above.
- Modified to be a vectorized version that uses jblas matrices
- for computation rather than the mallet ops.
-
-
- Numerical Recipes in C: p.385. lnsrch. A simple backtracking line
- search. No attempt at accurately finding the true minimum is
- made. The goal is only to ensure that BackTrackLineSearch will
- return a position of higher value.
-
- @author Adam Gibson
-
-
- */
-
 public class BackTrackLineSearch implements LineOptimizer {
     private static final Logger log = LoggerFactory.getLogger(BackTrackLineSearch.class);
     private Model layer;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BaseOptimizer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BaseOptimizer.java
index 8c8954dfa..3a8bfee10 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BaseOptimizer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/BaseOptimizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/ConjugateGradient.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/ConjugateGradient.java
index eb7b9803e..b07ade04a 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/ConjugateGradient.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/ConjugateGradient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers;
 
@@ -28,12 +32,6 @@ import org.slf4j.LoggerFactory;
 import java.util.Collection;
 
 
-/**Originally based on cc.mallet.optimize.ConjugateGradient
- * 
- * Rewritten based on Conjugate Gradient algorithm in Bengio et al.,
- * Deep Learning (in preparation) Ch8.
- * See also Nocedal & Wright, Numerical optimization, Ch5
- */
 public class ConjugateGradient extends BaseOptimizer {
     private static final long serialVersionUID = -1269296013474864091L;
     private static final Logger logger = LoggerFactory.getLogger(ConjugateGradient.class);
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LBFGS.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LBFGS.java
index a5cfd2a5e..320b4293a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LBFGS.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LBFGS.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LineGradientDescent.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LineGradientDescent.java
index 11ce94230..2afc53453 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LineGradientDescent.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/LineGradientDescent.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Collection;
 
-/**
- * Stochastic Gradient Descent with Line Search
- * @author Adam Gibson
- *
- */
 public class LineGradientDescent extends BaseOptimizer {
     private static final long serialVersionUID = 6336124657542062284L;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/StochasticGradientDescent.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/StochasticGradientDescent.java
index 4fd50c78b..fbee9c2a3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/StochasticGradientDescent.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/StochasticGradientDescent.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers;
 
@@ -32,12 +36,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Collection;
 
-/**
- * Stochastic Gradient Descent
- * Standard fix step size
- * No line search
- * @author Adam Gibson
- */
 @Slf4j
 public class StochasticGradientDescent extends BaseOptimizer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/BasicGradientsAccumulator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/BasicGradientsAccumulator.java
index 8d0ef2ad3..09002e24a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/BasicGradientsAccumulator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/BasicGradientsAccumulator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -33,11 +37,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This class provides accumulation for gradients for both input (i.e. updates coming from network) and output (comint from one ore more models training at the same time)
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class BasicGradientsAccumulator implements GradientsAccumulator {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodedGradientsAccumulator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodedGradientsAccumulator.java
index 900951e51..490acc178 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodedGradientsAccumulator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodedGradientsAccumulator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -47,11 +51,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.ReentrantLock;
 
-/**
- * This GradientsAccumulator is suited for CUDA backend.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class EncodedGradientsAccumulator implements GradientsAccumulator, Registerable {
     public static final long DEFAULT_INITIAL_MEMORY = 100 * 1024 * 1024L;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodingHandler.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodingHandler.java
index c451ecd6a..66c37b8fc 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodingHandler.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/EncodingHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -38,15 +42,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This MessageHandler implementation is suited for debugging mostly, but still can be used in production environment if you really want that.
- * Basic idea: updates are encoded before sharing.
- *
- * This handler is used as basement for distributed handler though.
- *
- * PLEASE NOTE: This handler does NOT provide any network connectivity. *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class EncodingHandler implements MessageHandler {
     public static final long THRESHOLD_LOG_FREQ_MS = 10000; //Every 10 sec max by default
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/FancyBlockingQueue.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/FancyBlockingQueue.java
index e530b729c..79e9d427c 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/FancyBlockingQueue.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/FancyBlockingQueue.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -29,14 +33,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This BlockingQueue implementation is suited only for symmetric gradients updates, and should NOT be used anywhere else.
- *
- * Basic idea: all worker threads requesting via poll()/take() method will be advancing only once all consumers get the same element from Queue.
- * So, multiple consumers are guaranteed to be consuming the same elements in the same order served by this queue.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class FancyBlockingQueue implements BlockingQueue, Registerable {
     protected BlockingQueue backingQueue;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/GradientsAccumulator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/GradientsAccumulator.java
index 4928294bb..a50ca59f1 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/GradientsAccumulator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/GradientsAccumulator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.io.Serializable;
 import java.util.Queue;
 
-/**
- * @author raver119@gmail.com
- */
 public interface GradientsAccumulator extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/IndexedTail.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/IndexedTail.java
index 63fcd293f..23e89fea7 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/IndexedTail.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/IndexedTail.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -35,12 +39,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This class provides queue-like functionality for multiple readers/multiple writers, with transparent duplication
- * and collapsing ability
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class IndexedTail {
     // here we store positions of individual consumers
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/LocalHandler.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/LocalHandler.java
index 3c7f888c5..da44c8d10 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/LocalHandler.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/LocalHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -20,13 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * MessageHandler implementation suited for ParallelWrapper running on single box
- *
- * PLEASE NOTE: This handler does NOT provide any network connectivity.
- *
- * @author raver119@gmail.com
- */
 public class LocalHandler implements MessageHandler {
     protected transient GradientsAccumulator accumulator;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/MessageHandler.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/MessageHandler.java
index 8c67b4857..e5b970608 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/MessageHandler.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/MessageHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -20,13 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * This interface describes communication primitive for GradientsAccumulator
- *
- * PLEASE NOTE: All implementations of this interface must be thread-safe.
- *
- * @author raver119@gmail.com
- */
 public interface MessageHandler extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/Registerable.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/Registerable.java
index 57e49d262..c236449cb 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/Registerable.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/Registerable.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
-/**
- * @author raver119@gmail.com
- */
 public interface Registerable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/SmartFancyBlockingQueue.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/SmartFancyBlockingQueue.java
index 813d1c2f4..9fc28cc7a 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/SmartFancyBlockingQueue.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/SmartFancyBlockingQueue.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation;
 
@@ -31,15 +35,6 @@ import org.nd4j.common.primitives.AtomicBoolean;
 import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingQueue;
 
-/**
- * This class provides additional functionality to FancyBlockingQueue: it tracks memory use of stored compressed INDArrays, and if their size becomes too big, it:
- * a) decompresses them into single INDArray
- * b) removes original updates messages
- * c) keeps updating single INDArray until it gets consumed
- * d) once that happened - it automatically switches back to original behavior
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SmartFancyBlockingQueue extends FancyBlockingQueue {
     protected final ReaderPreferenceReadWriteLock smartLock = new ReaderPreferenceReadWriteLock();
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ResidualPostProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ResidualPostProcessor.java
index 92194ec70..b4058906f 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ResidualPostProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ResidualPostProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding;
 
@@ -20,15 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * ResidualPostProcessor: is (as the name suggests) is used to post process the residual vector for DL4J's gradient
- * sharing implementation. The motivation for post processing the residual vector is to avoid it getting too large:
- * a large residual can take many steps to communicate, which may lead to stale gradient issues.
- * Thus most ResidualPostProcessor implementations will simply decay or clip the residual vector to keep values from
- * getting too large relative to the current threshold.
- *
- * @author Alex Black
- */
 public interface ResidualPostProcessor extends Serializable, Cloneable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithm.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithm.java
index 9ca469514..41f8348ad 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding;
 
@@ -20,12 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * ThresholdAlgorithm is responsible for determining the threshold to use when encoding updates for distributed training.
- * It is used to implement adaptive threshold encoding approaches such as {@link org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.AdaptiveThresholdAlgorithm}
- *
- * @author Alex Black
- */
 public interface ThresholdAlgorithm extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithmReducer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithmReducer.java
index c655a3220..ba4bdd5c5 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithmReducer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/ThresholdAlgorithmReducer.java
@@ -1,31 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding;
 
 import java.io.Serializable;
 
-/**
- * Used to combine ThresholdAlgorithm implementations in a way that is useful in a distributed training setting.
- * ThresholdAlgorithm instances can be combined to save their historical state (if any) that is used to make decisions
- * regarding the encoding threshold to use.
- * Without combining and storing the state, any threshold adaption would be lost between epochs.
- *
- * @author Alex Black
- */
 public interface ThresholdAlgorithmReducer extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/NoOpResidualPostProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/NoOpResidualPostProcessor.java
index a8b23960b..44cb923dd 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/NoOpResidualPostProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/NoOpResidualPostProcessor.java
@@ -1,28 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding.residual;
 
 import org.deeplearning4j.optimize.solvers.accumulation.encoding.ResidualPostProcessor;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This residual post process is a "no op" post processor.
- * i.e., it does not modify the residual array at all
- */
 public class NoOpResidualPostProcessor implements ResidualPostProcessor {
     @Override
     public void processResidual(int iteration, int epoch, double lastThreshold, INDArray residualVector) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/ResidualClippingPostProcessor.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/ResidualClippingPostProcessor.java
index 24387e12f..d6d3d52b3 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/ResidualClippingPostProcessor.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/residual/ResidualClippingPostProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding.residual;
 
@@ -23,23 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 
-/**
- * Residual clipping post processor clips the values of a residual every N iterations as follows:

- * For residual vector R, and C = thresholdMultipleClipValue, T is the current encoding threshold

- * {@code R[i] =  C*T} if R[i] > C*T

- * {@code R[i] = -C*T} if R[i] < -C*T

- * {@code R[i]} is unmodified otherwise

- * 

- * Note: Regarding the frequency, a value around 5 is suggested as a good balance between applying frequently enough,
- * and minimizing the computational overhead. Very infrequent clipping might allow stale updates to be communicated
- * (if that is a problem at all), whereas very frequent clipping (every iteration) may have a much higher overhead
- * relative to the benefit, compared to less frequent applications.

- * 

- * The motivation here for specifying the clipping value C in terms of a multiple of the threshold is simple: if there
- * were no new updates, and the threshold didn't change, it would take C steps to communicate the current residual.
- *
- * @author Alex Black
- */
 @Slf4j
 public class ResidualClippingPostProcessor implements ResidualPostProcessor {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/AdaptiveThresholdAlgorithm.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/AdaptiveThresholdAlgorithm.java
index 6cdacee11..daa507384 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/AdaptiveThresholdAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/AdaptiveThresholdAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold;
 
@@ -24,35 +28,6 @@ import org.deeplearning4j.optimize.solvers.accumulation.encoding.ThresholdAlgori
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * An adaptive threshold algorithm used to determine the encoding threshold for distributed training.

- * The idea: the threshold can be too high or too low for optimal training - both cases are bad.

- * So instead, we'll define a range of "acceptable" sparsity ratio values (default: 1e-4 to 1e-2).

- * The sparsity ratio is defined as numValues(encodedUpdate)/numParameters

- * 

- * If the sparsity ratio falls outside of this acceptable range, we'll either increase or decrease the threshold.

- * The threshold changed multiplicatively using the decay rate:

- * To increase threshold: {@code newThreshold = decayRate * threshold}

- * To decrease threshold: {@code newThreshold = (1.0/decayRate) * threshold}

- * The default decay rate used is {@link #DEFAULT_DECAY_RATE}=0.965936 which corresponds to an a maximum increase or
- * decrease of the threshold by a factor of:

- * * 2.0 in 20 iterations

- * * 100 in 132 iterations

- * * 1000 in 200 iterations

- * 

- * 

- * A high threshold leads to few values being encoded and communicated - a small "sparsity ratio".

- * Too high threshold (too low sparsity ratio): fast network communication but slow training (few parameter updates being communicated).

- * 

- * A low threshold leads to many values being encoded and communicated - a large "sparsity ratio".

- * Too low threshold (too high sparsity ratio): slower network communication and maybe slow training (lots of parameter updates
- * being communicated - but they are all very small, changing network's predictions only a tiny amount).

- * 

- * A sparsity ratio of 1.0 means all values are present in the encoded update vector.

- * A sparsity ratio of 0.0 means all values were excluded from the encoded update vector.

- *
- * @author Alex Black
- */
 @Slf4j
 @EqualsAndHashCode(exclude = {"lastThreshold", "lastSparsity"})
 public class AdaptiveThresholdAlgorithm implements ThresholdAlgorithm {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/FixedThresholdAlgorithm.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/FixedThresholdAlgorithm.java
index 96e3f7b6f..64c7bbc2d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/FixedThresholdAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/FixedThresholdAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold;
 
@@ -23,13 +27,6 @@ import org.deeplearning4j.optimize.solvers.accumulation.encoding.ThresholdAlgori
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A simple fixed threshold algorithm, not adaptive in any way.
- * An adaptive threshold algorithm such as {@link AdaptiveThresholdAlgorithm} should be preferred for better performance
- * in most cases.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class FixedThresholdAlgorithm implements ThresholdAlgorithm {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/TargetSparsityThresholdAlgorithm.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/TargetSparsityThresholdAlgorithm.java
index a539cc831..64a731df6 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/TargetSparsityThresholdAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/solvers/accumulation/encoding/threshold/TargetSparsityThresholdAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold;
 
@@ -24,11 +28,6 @@ import org.deeplearning4j.optimize.solvers.accumulation.encoding.ThresholdAlgori
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Targets a specific sparisty throughout training
- *
- * @author Alex Black
- */
 @Slf4j
 @EqualsAndHashCode(exclude = {"lastThreshold", "lastSparsity"})
 public class TargetSparsityThresholdAlgorithm implements ThresholdAlgorithm {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/DefaultStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/DefaultStepFunction.java
index dcf5c6061..ebe1212c8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/DefaultStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/DefaultStepFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.stepfunctions;
 
@@ -20,10 +24,6 @@ import org.deeplearning4j.optimize.api.StepFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Default step function
- * @author Adam Gibson
- */
 public class DefaultStepFunction implements StepFunction {
     private static final long serialVersionUID = -4707790524365648985L;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/GradientStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/GradientStepFunction.java
index 68ef1d8a2..8c0149fe9 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/GradientStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/GradientStepFunction.java
@@ -1,28 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.stepfunctions;
 
 import org.deeplearning4j.optimize.api.StepFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Normal gradient step function
- * @author Adam Gibson
- */
 public class GradientStepFunction implements StepFunction {
     @Override
     public void step(INDArray x, INDArray line, double step) {
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeDefaultStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeDefaultStepFunction.java
index 8b138d1d8..5d9a077df 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeDefaultStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeDefaultStepFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.stepfunctions;
 
@@ -20,10 +24,6 @@ import org.deeplearning4j.optimize.api.StepFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Inverse step function
- * @author Adam Gibson
- */
 public class NegativeDefaultStepFunction implements StepFunction {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeGradientStepFunction.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeGradientStepFunction.java
index 41776ba42..b2b0636cd 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeGradientStepFunction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/NegativeGradientStepFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.stepfunctions;
 
@@ -20,11 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.deeplearning4j.optimize.api.StepFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Subtract the line
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class NegativeGradientStepFunction implements StepFunction {
     @Override
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/StepFunctions.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/StepFunctions.java
index 676c85db4..8014f78af 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/StepFunctions.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/stepfunctions/StepFunctions.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.optimize.stepfunctions;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CapsuleUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CapsuleUtils.java
index b0d86d393..f38f5381d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CapsuleUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CapsuleUtils.java
@@ -1,32 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * Utilities for CapsNet Layers
- * @see org.deeplearning4j.nn.conf.layers.CapsuleLayer
- * @see org.deeplearning4j.nn.conf.layers.PrimaryCapsules
- * @see org.deeplearning4j.nn.conf.layers.CapsuleStrengthLayer
- *
- * @author Ryan Nett
- */
 public class CapsuleUtils {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution1DUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution1DUtils.java
index f9ce6fdb0..41a73e577 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution1DUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution1DUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -31,11 +35,6 @@ import org.nd4j.linalg.exception.ND4JArraySizeException;
 
 import java.util.Arrays;
 
-/**
- * Shape utilities for 1D convolution layers
- *
- * @author Max Pumperla
- */
 public class Convolution1DUtils {
 
     private static final int ONE = 1;
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution3DUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution3DUtils.java
index 82c59dff4..e7101ad75 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution3DUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/Convolution3DUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -28,11 +32,6 @@ import java.util.Arrays;
 
 import static org.deeplearning4j.util.ConvolutionUtils.effectiveKernelSize;
 
-/**
- * Shape utilities for 3D convolution layers
- *
- * @author Max Pumperla
- */
 public class Convolution3DUtils {
 
     private static final int[] ONES = new int[]{1, 1};
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ConvolutionUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ConvolutionUtils.java
index 66c1b5205..8737c974e 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ConvolutionUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ConvolutionUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -43,11 +47,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Arrays;
 
-/**
- * Convolutional shape utilities
- *
- * @author Adam Gibson
- */
 public class ConvolutionUtils {
 
     public static final String NCHW_NHWC_ERROR_MSG = "Note: Convolution layers can be configured for either NCHW (channels first)" +
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CrashReportingUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CrashReportingUtil.java
index dc7bad9dc..9fd95b22d 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CrashReportingUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/CrashReportingUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -65,11 +69,6 @@ import org.nd4j.nativeblas.NativeOpsHolder;
 import oshi.SystemInfo;
 import oshi.software.os.OperatingSystem;
 
-/**
- * A utility for generating crash reports when an out of memory error occurs.
- *
- * @author Alex Black
- */
 @Slf4j
 public class CrashReportingUtil {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/DL4JModelValidator.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/DL4JModelValidator.java
index 5a36bd4a2..6413a5eb4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/DL4JModelValidator.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/DL4JModelValidator.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.util;
 
 import lombok.NonNull;
@@ -21,11 +41,6 @@ import java.util.List;
 import java.util.zip.ZipEntry;
 import java.util.zip.ZipFile;
 
-/**
- * A utility for validating Deeplearning4j Serialized model file formats
- *
- * @author Alex Black
- */
 public class DL4JModelValidator {
 
     private DL4JModelValidator(){ }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/MaskedReductionUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/MaskedReductionUtil.java
index 5fa59dd5b..5358b8cb0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/MaskedReductionUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/MaskedReductionUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -32,14 +36,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 
 import java.util.Arrays;
 
-/**
- *
- * This is a TEMPORARY class for implementing global pooling with masking. Note that it may be removed in a future release,
- * if and when these approaches are formally implemented as native operations in ND4J. Consequently, this should not
- * be considered part of the public API.
- *
- * @author Alex Black
- */
 public class MaskedReductionUtil {
 
     private static final int[] CNN_DIM_MASK_H = new int[] {0, 2};
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ModelSerializer.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ModelSerializer.java
index 8fa2225e9..ad63607f0 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ModelSerializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ModelSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -51,11 +55,6 @@ import java.util.zip.ZipFile;
 import java.util.zip.ZipInputStream;
 import java.util.zip.ZipOutputStream;
 
-/**
- * Utility class suited to save/restore neural net models
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ModelSerializer {
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/NetworkUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/NetworkUtils.java
index 0010cb017..598261027 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/NetworkUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/NetworkUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/OutputLayerUtil.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/OutputLayerUtil.java
index e5616a977..8f1ba93e4 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/OutputLayerUtil.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/OutputLayerUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.lossfunctions.impl.LossMCXENT;
 import java.util.HashSet;
 import java.util.Set;
 
-/**
- * Utility methods for output layer configuration/validation
- *
- * @author Alex Black
- */
 public class OutputLayerUtil {
 
     private OutputLayerUtil(){ }
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/TimeSeriesUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/TimeSeriesUtils.java
index 0a1df4019..df4583cd8 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/TimeSeriesUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/TimeSeriesUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
@@ -39,10 +43,6 @@ import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 
 import java.util.Arrays;
 
-/**
- * Basic time series utils
- * @author Adam Gibson
- */
 public class TimeSeriesUtils {
 
 
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ValidationUtils.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ValidationUtils.java
index 416593654..f2dd9b5d2 100644
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ValidationUtils.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/util/ValidationUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.util;
 
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/pom.xml b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/pom.xml
deleted file mode 100644
index ca4c49e9e..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/pom.xml
+++ /dev/null
@@ -1,124 +0,0 @@
-
-
-
-  4.0.0
-  jar
-
-  
-    org.deeplearning4j
-    deeplearning4j-remote
-    1.0.0-SNAPSHOT
-  
-
-  deeplearning4j-json-server
-  1.0.0-SNAPSHOT
-  deeplearning4j-json-server
-
-  
-    
-      junit
-      junit
-      ${junit.version}
-      test
-    
-
-    
-      org.projectlombok
-      lombok
-      ${lombok.version}
-      provided
-    
-
-    
-      org.nd4j
-      nd4j-api
-      ${project.version}
-    
-
-    
-      org.nd4j
-      nd4j-json-client
-      ${project.version}
-    
-
-    
-      org.nd4j
-      nd4j-json-server
-      ${project.version}
-    
-
-    
-      org.deeplearning4j
-      deeplearning4j-parallel-wrapper
-      ${project.version}
-    
-
-    
-      org.slf4j
-      slf4j-api
-      ${slf4j.version}
-    
-
-    
-      ch.qos.logback
-      logback-core
-      ${logback.version}
-      test
-    
-
-    
-      ch.qos.logback
-      logback-classic
-      ${logback.version}
-      test
-    
-
-    
-      org.deeplearning4j
-      deeplearning4j-common-tests
-      ${project.version}
-      test
-    
-  
-
-
-  
-    
-      testresources
-      
-        true
-      
-    
-
-    
-      test-nd4j-native
-      
-        false
-      
-      
-        
-          org.nd4j
-          nd4j-native
-          ${project.version}
-          test
-        
-      
-    
-
-    
-      test-nd4j-cuda-11.0
-      
-        false
-      
-      
-        
-          org.nd4j
-          nd4j-cuda-11.0
-          ${project.version}
-          test
-        
-      
-    
-  
-
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/main/java/org/deeplearning4j/remote/DL4jServlet.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/main/java/org/deeplearning4j/remote/DL4jServlet.java
deleted file mode 100644
index 66eaedb4c..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/main/java/org/deeplearning4j/remote/DL4jServlet.java
+++ /dev/null
@@ -1,288 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote;
-
-import lombok.*;
-import lombok.extern.slf4j.Slf4j;
-import org.deeplearning4j.nn.api.Model;
-import org.deeplearning4j.nn.graph.ComputationGraph;
-import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
-import org.deeplearning4j.parallelism.ParallelInference;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.common.base.Preconditions;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.remote.clients.serde.BinaryDeserializer;
-import org.nd4j.remote.clients.serde.BinarySerializer;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-import org.nd4j.remote.serving.SameDiffServlet;
-
-import javax.servlet.http.HttpServletRequest;
-import javax.servlet.http.HttpServletResponse;
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStreamReader;
-
-
-
-/**
- *
- * @author astoyakin
- */
-@Slf4j
-@NoArgsConstructor
-public class DL4jServlet extends SameDiffServlet {
-
-    protected ParallelInference parallelInference;
-    protected Model model;
-    protected boolean parallelEnabled = true;
-
-    public DL4jServlet(@NonNull ParallelInference parallelInference, @NonNull InferenceAdapter inferenceAdapter,
-                       JsonSerializer serializer, JsonDeserializer deserializer) {
-        super(inferenceAdapter, serializer, deserializer);
-        this.parallelInference = parallelInference;
-        this.model = null;
-        this.parallelEnabled = true;
-    }
-
-    public DL4jServlet(@NonNull Model model, @NonNull InferenceAdapter inferenceAdapter,
-                       JsonSerializer serializer, JsonDeserializer deserializer) {
-        super(inferenceAdapter, serializer, deserializer);
-        this.model = model;
-        this.parallelInference = null;
-        this.parallelEnabled = false;
-    }
-
-    public DL4jServlet(@NonNull ParallelInference parallelInference, @NonNull InferenceAdapter inferenceAdapter,
-                       BinarySerializer serializer, BinaryDeserializer deserializer) {
-        super(inferenceAdapter, serializer, deserializer);
-        this.parallelInference = parallelInference;
-        this.model = null;
-        this.parallelEnabled = true;
-    }
-
-    public DL4jServlet(@NonNull Model model, @NonNull InferenceAdapter inferenceAdapter,
-                       JsonSerializer jsonSerializer, JsonDeserializer jsonDeserializer,
-                       BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer) {
-        super(inferenceAdapter, jsonSerializer, jsonDeserializer, binarySerializer, binaryDeserializer);
-        this.model = model;
-        this.parallelInference = null;
-        this.parallelEnabled = false;
-    }
-
-    public DL4jServlet(@NonNull ParallelInference parallelInference, @NonNull InferenceAdapter inferenceAdapter,
-                       JsonSerializer jsonSerializer, JsonDeserializer jsonDeserializer,
-                       BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer) {
-        super(inferenceAdapter, jsonSerializer, jsonDeserializer, binarySerializer, binaryDeserializer);
-        this.parallelInference = parallelInference;
-        this.model = null;
-        this.parallelEnabled = true;
-    }
-
-    private O process(MultiDataSet mds) {
-        O result = null;
-        if (parallelEnabled) {
-            // process result
-            result = inferenceAdapter.apply(parallelInference.output(mds.getFeatures(), mds.getFeaturesMaskArrays()));
-        } else {
-            synchronized (this) {
-                if (model instanceof ComputationGraph)
-                    result = inferenceAdapter.apply(((ComputationGraph) model).output(false, mds.getFeatures(), mds.getFeaturesMaskArrays()));
-                else if (model instanceof MultiLayerNetwork) {
-                    Preconditions.checkArgument(mds.getFeatures().length > 0 || (mds.getFeaturesMaskArrays() != null && mds.getFeaturesMaskArrays().length > 0),
-                            "Input data for MultilayerNetwork is invalid!");
-                    result = inferenceAdapter.apply(((MultiLayerNetwork) model).output(mds.getFeatures()[0], false,
-                            mds.getFeaturesMaskArrays() != null ? mds.getFeaturesMaskArrays()[0] : null, null));
-                }
-            }
-        }
-        return result;
-    }
-
-    @Override
-    protected void doPost(HttpServletRequest request, HttpServletResponse response) throws IOException {
-        String processorReturned = "";
-        MultiDataSet mds = null;
-        String path = request.getPathInfo();
-        if (path.equals(SERVING_ENDPOINT)) {
-            val contentType = request.getContentType();
-            if (contentType.equals(typeJson)) {
-                if (validateRequest(request, response)) {
-                    val stream = request.getInputStream();
-                    val bufferedReader = new BufferedReader(new InputStreamReader(stream));
-                    char[] charBuffer = new char[128];
-                    int bytesRead = -1;
-                    val buffer = new StringBuilder();
-                    while ((bytesRead = bufferedReader.read(charBuffer)) > 0) {
-                        buffer.append(charBuffer, 0, bytesRead);
-                    }
-                    val requestString = buffer.toString();
-
-                    mds = inferenceAdapter.apply(deserializer.deserialize(requestString));
-                }
-            }
-            else if (contentType.equals(typeBinary)) {
-                val stream = request.getInputStream();
-                int available = request.getContentLength();
-                if (available <= 0) {
-                    response.sendError(411, "Content length is unavailable");
-                }
-                else {
-                    byte[] data = new byte[available];
-                    stream.read(data, 0, available);
-
-                    mds = inferenceAdapter.apply(binaryDeserializer.deserialize(data));
-                }
-            }
-            if (mds == null)
-                log.error("InferenceAdapter failed");
-            else {
-                val result = process(mds);
-                if (binarySerializer != null) {
-                    byte[] serialized = binarySerializer.serialize(result);
-                    response.setContentType(typeBinary);
-                    response.setContentLength(serialized.length);
-                    val out = response.getOutputStream();
-                    out.write(serialized);
-                }
-                else {
-                    processorReturned = serializer.serialize(result);
-                    try {
-                        val out = response.getWriter();
-                        out.write(processorReturned);
-                    } catch (IOException e) {
-                        log.error(e.getMessage());
-                    }
-                }
-            }
-        } else {
-            // we return error otherwise
-            sendError(request.getRequestURI(), response);
-        }
-    }
-
-    /**
-     * Creates servlet to serve models
-     *
-     * @param  type of Input class
-     * @param  type of Output class
-     *
-     * @author raver119@gmail.com
-     * @author astoyakin
-     */
-    public static class Builder {
-
-        private ParallelInference pi;
-        private Model model;
-
-        private InferenceAdapter inferenceAdapter;
-        private JsonSerializer serializer;
-        private JsonDeserializer deserializer;
-        private BinarySerializer binarySerializer;
-        private BinaryDeserializer binaryDeserializer;
-        private int port;
-        private boolean parallelEnabled = true;
-
-        public Builder(@NonNull ParallelInference pi) {
-            this.pi = pi;
-        }
-
-        public Builder(@NonNull Model model) {
-            this.model = model;
-        }
-
-        public Builder inferenceAdapter(@NonNull InferenceAdapter inferenceAdapter) {
-            this.inferenceAdapter = inferenceAdapter;
-            return this;
-        }
-
-        /**
-         * This method is required to specify serializer
-         *
-         * @param serializer
-         * @return
-         */
-        public Builder serializer(JsonSerializer serializer) {
-            this.serializer = serializer;
-            return this;
-        }
-
-        /**
-         * This method allows to specify deserializer
-         *
-         * @param deserializer
-         * @return
-         */
-        public Builder deserializer(JsonDeserializer deserializer) {
-            this.deserializer = deserializer;
-            return this;
-        }
-
-        /**
-         * This method is required to specify serializer
-         *
-         * @param serializer
-         * @return
-         */
-        public Builder binarySerializer(BinarySerializer serializer) {
-            this.binarySerializer = serializer;
-            return this;
-        }
-
-        /**
-         * This method allows to specify deserializer
-         *
-         * @param deserializer
-         * @return
-         */
-        public Builder binaryDeserializer(BinaryDeserializer deserializer) {
-            this.binaryDeserializer = deserializer;
-            return this;
-        }
-
-        /**
-         * This method allows to specify port
-         *
-         * @param port
-         * @return
-         */
-        public Builder port(int port) {
-            this.port = port;
-            return this;
-        }
-
-        /**
-         * This method activates parallel inference
-         *
-         * @param parallelEnabled
-         * @return
-         */
-        public Builder parallelEnabled(boolean parallelEnabled) {
-            this.parallelEnabled = parallelEnabled;
-            return this;
-        }
-
-        public DL4jServlet build() {
-            return parallelEnabled ? new DL4jServlet(pi, inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer) :
-                    new DL4jServlet(model, inferenceAdapter,  serializer, deserializer, binarySerializer, binaryDeserializer);
-        }
-    }
-}
-
-
-
-
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/main/java/org/deeplearning4j/remote/JsonModelServer.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/main/java/org/deeplearning4j/remote/JsonModelServer.java
deleted file mode 100644
index 1f0b93508..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/main/java/org/deeplearning4j/remote/JsonModelServer.java
+++ /dev/null
@@ -1,449 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote;
-
-import lombok.NonNull;
-import lombok.val;
-import org.deeplearning4j.nn.api.Model;
-import org.deeplearning4j.nn.api.ModelAdapter;
-import org.deeplearning4j.nn.graph.ComputationGraph;
-import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
-import org.deeplearning4j.parallelism.ParallelInference;
-import org.deeplearning4j.parallelism.inference.InferenceMode;
-import org.deeplearning4j.parallelism.inference.LoadBalanceMode;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.adapters.InputAdapter;
-import org.nd4j.adapters.OutputAdapter;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.common.base.Preconditions;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.remote.SameDiffJsonModelServer;
-import org.nd4j.remote.clients.serde.BinaryDeserializer;
-import org.nd4j.remote.clients.serde.BinarySerializer;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-
-
-import java.util.List;
-
-/**
- * This class provides JSON-based model serving ability for Deeplearning4j/SameDiff models
- *
- * Server url will be http://0.0.0.0:{port}>/v1/serving
- * Server only accepts POST requests
- *
- * @param  type of the input class, i.e. String
- * @param  type of the output class, i.e. Sentiment
- *
- * @author raver119@gmail.com
- * @author astoyakin
- */
-public class JsonModelServer extends SameDiffJsonModelServer {
-
-    // all serving goes through ParallelInference
-    protected ParallelInference parallelInference;
-
-
-    protected ModelAdapter modelAdapter;
-
-    // actual models
-    protected ComputationGraph cgModel;
-    protected MultiLayerNetwork mlnModel;
-
-    // service stuff
-    protected InferenceMode inferenceMode;
-    protected int numWorkers;
-
-    protected boolean enabledParallel = true;
-
-    protected JsonModelServer(@NonNull SameDiff sdModel, InferenceAdapter inferenceAdapter,
-                              JsonSerializer serializer, JsonDeserializer deserializer,
-                              BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer,
-                              int port, String[] orderedInputNodes, String[] orderedOutputNodes) {
-        super(sdModel, inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port, orderedInputNodes, orderedOutputNodes);
-    }
-
-    protected JsonModelServer(@NonNull ComputationGraph cgModel, InferenceAdapter inferenceAdapter,
-                              JsonSerializer serializer, JsonDeserializer deserializer,
-                              BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer,
-                              int port, @NonNull InferenceMode inferenceMode, int numWorkers) {
-        super(inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port);
-
-        this.cgModel = cgModel;
-        this.inferenceMode = inferenceMode;
-        this.numWorkers = numWorkers;
-    }
-
-    protected JsonModelServer(@NonNull MultiLayerNetwork mlnModel, InferenceAdapter inferenceAdapter,
-                              JsonSerializer serializer, JsonDeserializer deserializer,
-                              BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer,
-                              int port, @NonNull InferenceMode inferenceMode, int numWorkers) {
-        super(inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port);
-
-        this.mlnModel = mlnModel;
-        this.inferenceMode = inferenceMode;
-        this.numWorkers = numWorkers;
-    }
-
-    protected JsonModelServer(@NonNull ParallelInference pi, InferenceAdapter inferenceAdapter,
-                              JsonSerializer serializer, JsonDeserializer deserializer,
-                              BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer,
-                              int port) {
-        super(inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port);
-
-        this.parallelInference = pi;
-    }
-
-    /**
-     * This method stops server
-     *
-     * @throws Exception
-     */
-    @Override
-    public void stop() throws Exception {
-        if (parallelInference != null)
-            parallelInference.shutdown();
-        super.stop();
-    }
-
-    /**
-     * This method starts server
-     * @throws Exception
-     */
-    @Override
-    public void start() throws Exception {
-        // if we're just serving sdModel - we'll just call super. no dl4j functionality required in this case
-        if (sdModel != null) {
-            super.start();
-            return;
-        }
-        Preconditions.checkArgument(cgModel != null || mlnModel != null, "Model serving requires either MultilayerNetwork or ComputationGraph defined");
-
-        val model = cgModel != null ? (Model) cgModel : (Model) mlnModel;
-        // PI construction is optional, since we can have it defined
-        if (enabledParallel) {
-            if (parallelInference == null) {
-                Preconditions.checkArgument(numWorkers >= 1, "Number of workers should be >= 1, got " + numWorkers + " instead");
-
-                parallelInference = new ParallelInference.Builder(model)
-                        .inferenceMode(inferenceMode)
-                        .workers(numWorkers)
-                        .loadBalanceMode(LoadBalanceMode.FIFO)
-                        .batchLimit(16)
-                        .queueLimit(128)
-                        .build();
-            }
-            servingServlet = new DL4jServlet.Builder(parallelInference)
-                        .parallelEnabled(true)
-                        .serializer(serializer)
-                        .deserializer(deserializer)
-                        .binarySerializer(binarySerializer)
-                        .binaryDeserializer(binaryDeserializer)
-                        .inferenceAdapter(inferenceAdapter)
-                        .build();
-        }
-        else {
-            servingServlet = new DL4jServlet.Builder(model)
-                        .parallelEnabled(false)
-                        .serializer(serializer)
-                        .deserializer(deserializer)
-                        .binarySerializer(binarySerializer)
-                        .binaryDeserializer(binaryDeserializer)
-                        .inferenceAdapter(inferenceAdapter)
-                        .build();
-        }
-        start(port, servingServlet);
-    }
-
-    /**
-     * Creates servlet to serve different types of models
-     *
-     * @param  type of Input class
-     * @param  type of Output class
-     *
-     * @author raver119@gmail.com
-     * @author astoyakin
-     */
-    public static class Builder {
-
-        private SameDiff sdModel;
-        private ComputationGraph cgModel;
-        private MultiLayerNetwork mlnModel;
-        private ParallelInference pi;
-
-        private String[] orderedInputNodes;
-        private String[] orderedOutputNodes;
-
-        private InferenceAdapter inferenceAdapter;
-        private JsonSerializer serializer;
-        private JsonDeserializer deserializer;
-        private BinarySerializer binarySerializer;
-        private BinaryDeserializer binaryDeserializer;
-
-        private InputAdapter inputAdapter;
-        private OutputAdapter outputAdapter;
-
-        private int port;
-
-        private boolean parallelMode = true;
-
-        // these fields actually require defaults
-        private InferenceMode inferenceMode = InferenceMode.BATCHED;
-        private int numWorkers = Nd4j.getAffinityManager().getNumberOfDevices();
-
-        public Builder(@NonNull SameDiff sdModel) {
-            this.sdModel = sdModel;
-        }
-
-        public Builder(@NonNull MultiLayerNetwork mlnModel) {
-            this.mlnModel = mlnModel;
-        }
-
-        public Builder(@NonNull ComputationGraph cgModel) {
-            this.cgModel = cgModel;
-        }
-
-        public Builder(@NonNull ParallelInference pi) {
-            this.pi = pi;
-        }
-
-        /**
-         * This method defines InferenceAdapter implementation, which will be used to convert object of Input type to the set of INDArray(s), and for conversion of resulting INDArray(s) into object of Output type
-         * @param inferenceAdapter
-         * @return
-         */
-        public Builder inferenceAdapter(@NonNull InferenceAdapter inferenceAdapter) {
-            this.inferenceAdapter = inferenceAdapter;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify InputAdapter to be used for inference
-         *
-         * PLEASE NOTE: This method is optional, and will require OutputAdapter defined
-         * @param inputAdapter
-         * @return
-         */
-        public Builder inputAdapter(@NonNull InputAdapter inputAdapter) {
-            this.inputAdapter = inputAdapter;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify OutputtAdapter to be used for inference
-         *
-         * PLEASE NOTE: This method is optional, and will require InputAdapter defined
-         * @param outputAdapter
-         * @return
-         */
-        public Builder outputAdapter(@NonNull OutputAdapter outputAdapter) {
-            this.outputAdapter = outputAdapter;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify JSON serializer.
-         * Incompatible with {@link #outputBinarySerializer(BinarySerializer)}
-         * Only one serializer - deserializer pair can be used by client and server.
-         *
-         * @param serializer
-         * @return
-         */
-        public Builder outputSerializer(@NonNull JsonSerializer serializer) {
-            this.serializer = serializer;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify JSON deserializer.
-         * Incompatible with {@link #inputBinaryDeserializer(BinaryDeserializer)}
-         * Only one serializer - deserializer pair can be used by client and server.
-         *
-         * @param deserializer
-         * @return
-         */
-        public Builder inputDeserializer(@NonNull JsonDeserializer deserializer) {
-            this.deserializer = deserializer;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify binary serializer.
-         * Incompatible with {@link #outputSerializer(JsonSerializer)}
-         * Only one serializer - deserializer pair can be used by client and server.
-         *
-         * @param serializer
-         * @return
-         */
-        public Builder outputBinarySerializer(@NonNull BinarySerializer serializer) {
-            this.binarySerializer = serializer;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify binary deserializer
-         * Incompatible with {@link #inputDeserializer(JsonDeserializer)}
-         * Only one serializer - deserializer pair can be used by client and server.
-         *
-         * @param deserializer
-         * @return
-         */
-        public Builder inputBinaryDeserializer(@NonNull BinaryDeserializer deserializer) {
-            this.binaryDeserializer = deserializer;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify inference mode for parallel mode. See {@link InferenceMode} for more details
-         *
-         * @param inferenceMode
-         * @return
-         */
-        public Builder inferenceMode(@NonNull InferenceMode inferenceMode) {
-            this.inferenceMode = inferenceMode;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify number of worker threads for ParallelInference
-         *
-         * @param numWorkers
-         * @return
-         */
-        public Builder numWorkers(int numWorkers) {
-            this.numWorkers = numWorkers;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify the order in which the inputs should be mapped to the model placeholder arrays. This is only required for {@link SameDiff} models, not {@link MultiLayerNetwork} or {@link ComputationGraph} models
-         *
-         * PLEASE NOTE: this argument only used for SameDiff models
-         * @param args
-         * @return
-         */
-        public Builder orderedInputNodes(String... args) {
-            orderedInputNodes = args;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify the order in which the inputs should be mapped to the model placeholder arrays. This is only required for {@link SameDiff} models, not {@link MultiLayerNetwork} or {@link ComputationGraph} models
-         *
-         * PLEASE NOTE: this argument only used for SameDiff models
-         * @param args
-         * @return
-         */
-        public Builder orderedInputNodes(@NonNull List args) {
-            orderedInputNodes = args.toArray(new String[args.size()]);
-            return this;
-        }
-
-        /**
-         * This method allows you to specify output nodes
-         *
-         * PLEASE NOTE: this argument only used for SameDiff models
-         * @param args
-         * @return
-         */
-        public Builder orderedOutputNodes(String... args) {
-            Preconditions.checkArgument(args != null && args.length > 0, "OutputNodes should contain at least 1 element");
-            orderedOutputNodes = args;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify output nodes
-         *
-         * PLEASE NOTE: this argument only used for SameDiff models
-         * @param args
-         * @return
-         */
-        public Builder orderedOutputNodes(@NonNull List args) {
-            Preconditions.checkArgument(args.size() > 0, "OutputNodes should contain at least 1 element");
-            orderedOutputNodes = args.toArray(new String[args.size()]);
-            return this;
-        }
-
-        /**
-         * This method allows you to specify http port
-         *
-         * PLEASE NOTE: port must be free and be in range regular TCP/IP ports range
-         * @param port
-         * @return
-         */
-        public Builder port(int port) {
-            this.port = port;
-            return this;
-        }
-
-        /**
-         * This method switches on ParallelInference usage
-         * @param - true - to use ParallelInference, false - to use ComputationGraph or
-         * MultiLayerNetwork directly
-         *
-         * PLEASE NOTE: this doesn't apply to SameDiff models
-         *
-         * @throws Exception
-         */
-        public Builder parallelMode(boolean enable) {
-            this.parallelMode = enable;
-            return this;
-        }
-
-        public JsonModelServer build() {
-            if (inferenceAdapter == null) {
-                if (inputAdapter != null && outputAdapter != null) {
-                    inferenceAdapter = new InferenceAdapter() {
-                        @Override
-                        public MultiDataSet apply(I input) {
-                            return inputAdapter.apply(input);
-                        }
-
-                        @Override
-                        public O apply(INDArray... outputs) {
-                            return outputAdapter.apply(outputs);
-                        }
-                    };
-                } else
-                    throw new IllegalArgumentException("Either InferenceAdapter or InputAdapter + OutputAdapter should be configured");
-            }
-
-            JsonModelServer server = null;
-            if (sdModel != null) {
-                server = new JsonModelServer(sdModel, inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port, orderedInputNodes, orderedOutputNodes);
-            }
-            else if (cgModel != null) {
-                server = new JsonModelServer(cgModel, inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port, inferenceMode, numWorkers);
-            }
-            else if (mlnModel != null) {
-                server = new JsonModelServer(mlnModel, inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port, inferenceMode, numWorkers);
-            }
-            else if (pi != null) {
-                 server = new JsonModelServer(pi, inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port);
-            }
-              else
-                 throw new IllegalStateException("No models were defined for JsonModelServer");
-
-            server.enabledParallel = parallelMode;
-            return server;
-        }
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/AssertTestsExtendBaseClass.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/AssertTestsExtendBaseClass.java
deleted file mode 100644
index 6786a8249..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/AssertTestsExtendBaseClass.java
+++ /dev/null
@@ -1,48 +0,0 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.deeplearning4j.remote;
-
-import lombok.extern.slf4j.Slf4j;
-import java.util.*;
-
-import org.deeplearning4j.BaseDL4JTest;
-import org.nd4j.common.tests.AbstractAssertTestsClass;
-
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4JTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alexander Stoyakin
- */
-@Slf4j
-public class AssertTestsExtendBaseClass extends AbstractAssertTestsClass {
-
-    @Override
-    protected Set> getExclusions() {
-        Set> exclusions = new HashSet<>();
-        return exclusions;
-    }
-
-    @Override
-    protected String getPackageName() {
-        return "org.deeplearning4j.remote";
-    }
-
-    @Override
-    protected Class getBaseClass() { return BaseDL4JTest.class; }
-}
-
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/BinaryModelServerTest.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/BinaryModelServerTest.java
deleted file mode 100644
index eae2ca4f1..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/BinaryModelServerTest.java
+++ /dev/null
@@ -1,276 +0,0 @@
-package org.deeplearning4j.remote;
-
-import lombok.extern.slf4j.Slf4j;
-import lombok.val;
-import org.datavec.image.loader.Java2DNativeImageLoader;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
-import org.deeplearning4j.remote.helpers.ImageConversionUtils;
-import org.deeplearning4j.util.ModelSerializer;
-import org.junit.After;
-import org.junit.Test;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.common.io.ClassPathResource;
-import org.nd4j.remote.clients.JsonRemoteInference;
-import org.nd4j.remote.clients.serde.BinaryDeserializer;
-import org.nd4j.remote.clients.serde.BinarySerializer;
-import org.nd4j.remote.clients.serde.impl.IntegerSerde;
-import org.nd4j.common.resources.Resources;
-import org.nd4j.shade.jackson.databind.ObjectMapper;
-
-import javax.imageio.ImageIO;
-import java.awt.image.BufferedImage;
-import java.io.*;
-import java.util.concurrent.Future;
-import java.util.concurrent.TimeUnit;
-
-import static org.deeplearning4j.parallelism.inference.InferenceMode.SEQUENTIAL;
-import static org.junit.Assert.*;
-
-@Slf4j
-public class BinaryModelServerTest extends BaseDL4JTest {
-    private final int PORT = 18080;
-
-    @After
-    public void pause() throws Exception {
-        // TODO: the same port was used in previous test and not accessible immediately. Might be better solution.
-        TimeUnit.SECONDS.sleep(2);
-    }
-
-    // Internal test for locally defined serializers
-    @Test
-    public void testBufferedImageSerde() {
-            BinarySerializer serde = new BinaryModelServerTest.BufferedImageSerde();
-            BufferedImage image = ImageConversionUtils.makeRandomBufferedImage(28,28,1);
-            byte[] serialized = serde.serialize(image);
-
-            BufferedImage deserialized = ((BufferedImageSerde) serde).deserialize(serialized);
-            int originalSize = image.getData().getDataBuffer().getSize();
-            assertEquals(originalSize, deserialized.getData().getDataBuffer().getSize());
-            for (int i = 0; i < originalSize; ++i) {
-                assertEquals(deserialized.getData().getDataBuffer().getElem(i),
-                             image.getData().getDataBuffer().getElem(i));
-            }
-    }
-
-    @Test
-    public void testImageToINDArray() {
-        INDArray data = ImageConversionUtils.makeRandomImageAsINDArray(28,28,1);
-        assertNotNull(data);
-    }
-
-    @Test
-    public void testMlnMnist_ImageInput() throws Exception {
-
-        val modelFile = Resources.asFile("models/mnist/mnist-model.zip");
-        MultiLayerNetwork net = ModelSerializer.restoreMultiLayerNetwork(modelFile);
-
-        val server = new JsonModelServer.Builder(net)
-                .outputSerializer(new IntegerSerde())
-                .inputBinaryDeserializer(new BufferedImageSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(BufferedImage input) {
-                        INDArray data = null;
-                        try {
-                            data = new Java2DNativeImageLoader().asMatrix(input);
-                            data = data.reshape(1, 784);
-                        }
-                        catch (IOException e) {
-                            throw new RuntimeException(e);
-                        }
-                        return new MultiDataSet(data, null);
-                    }
-
-                    @Override
-                    public Integer apply(INDArray... nnOutput) {
-                        return nnOutput[0].argMax().getInt(0);
-                    }
-                })
-                .port(PORT)
-                .inferenceMode(SEQUENTIAL)
-                .numWorkers(1)
-                .parallelMode(false)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                .inputBinarySerializer(new BufferedImageSerde())
-                .outputDeserializer(new IntegerSerde())
-                .build();
-
-        try {
-            server.start();
-            BufferedImage image = ImageConversionUtils.makeRandomBufferedImage(28,28,1);
-            Integer result = client.predict(image);
-            assertNotNull(result);
-
-            File file = new ClassPathResource("datavec-local/imagetest/0/b.bmp").getFile();
-            image = ImageIO.read(new FileInputStream(file));
-            result = client.predict(image);
-            assertEquals(new Integer(0), result);
-
-            file = new ClassPathResource("datavec-local/imagetest/1/a.bmp").getFile();
-            image = ImageIO.read(new FileInputStream(file));
-            result = client.predict(image);
-            assertEquals(new Integer(1), result);
-
-        } catch (Exception e){
-            log.error("",e);
-            throw e;
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void testMlnMnist_ImageInput_Async() throws Exception {
-
-        val modelFile = Resources.asFile("models/mnist/mnist-model.zip");
-        MultiLayerNetwork net = ModelSerializer.restoreMultiLayerNetwork(modelFile);
-
-        val server = new JsonModelServer.Builder(net)
-                .outputSerializer(new IntegerSerde())
-                .inputBinaryDeserializer(new BufferedImageSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(BufferedImage input) {
-                        INDArray data = null;
-                        try {
-                            data = new Java2DNativeImageLoader().asMatrix(input);
-                            data = data.reshape(1, 784);
-                        }
-                        catch (IOException e) {
-                            throw new RuntimeException(e);
-                        }
-                        return new MultiDataSet(data, null);
-                    }
-
-                    @Override
-                    public Integer apply(INDArray... nnOutput) {
-                        return nnOutput[0].argMax().getInt(0);
-                    }
-                })
-                .port(PORT)
-                .inferenceMode(SEQUENTIAL)
-                .numWorkers(1)
-                .parallelMode(false)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                .inputBinarySerializer(new BufferedImageSerde())
-                .outputDeserializer(new IntegerSerde())
-                .build();
-
-        try {
-            server.start();
-            BufferedImage[] images = new BufferedImage[3];
-            images[0] = ImageConversionUtils.makeRandomBufferedImage(28,28,1);
-
-            File file = new ClassPathResource("datavec-local/imagetest/0/b.bmp").getFile();
-            images[1] = ImageIO.read(new FileInputStream(file));
-
-            file = new ClassPathResource("datavec-local/imagetest/1/a.bmp").getFile();
-            images[2] = ImageIO.read(new FileInputStream(file));
-
-            Future[] results = new Future[3];
-            for (int i = 0; i < images.length; ++i) {
-                results[i] = client.predictAsync(images[i]);
-                assertNotNull(results[i]);
-            }
-
-            assertNotNull(results[0].get());
-            assertEquals(new Integer(0), results[1].get());
-            assertEquals(new Integer(1), results[2].get());
-
-        } catch (Exception e){
-            log.error("",e);
-            throw e;
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void testBinaryIn_BinaryOut() throws Exception {
-
-        val modelFile = Resources.asFile("models/mnist/mnist-model.zip");
-        MultiLayerNetwork net = ModelSerializer.restoreMultiLayerNetwork(modelFile);
-
-        val server = new JsonModelServer.Builder(net)
-                .outputBinarySerializer(new BufferedImageSerde())
-                .inputBinaryDeserializer(new BufferedImageSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(BufferedImage input) {
-                        INDArray data = null;
-                        try {
-                            data = new Java2DNativeImageLoader().asMatrix(input);
-                        }
-                        catch (IOException e) {
-                            throw new RuntimeException(e);
-                        }
-                        return new MultiDataSet(data, null);
-                    }
-
-                    @Override
-                    public BufferedImage apply(INDArray... nnOutput) {
-                        return ImageConversionUtils.makeRandomBufferedImage(28,28,3);
-                    }
-                })
-                .port(PORT)
-                .inferenceMode(SEQUENTIAL)
-                .numWorkers(1)
-                .parallelMode(false)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                .inputBinarySerializer(new BufferedImageSerde())
-                .outputBinaryDeserializer(new BufferedImageSerde())
-                .build();
-
-        try {
-            server.start();
-            BufferedImage image = ImageConversionUtils.makeRandomBufferedImage(28,28,1);
-            BufferedImage result = client.predict(image);
-            assertNotNull(result);
-            assertEquals(28, result.getHeight());
-            assertEquals(28, result.getWidth());
-
-        } catch (Exception e){
-            log.error("",e);
-            throw e;
-        } finally {
-            server.stop();
-        }
-    }
-
-    private static class BufferedImageSerde implements BinarySerializer, BinaryDeserializer {
-
-        @Override
-        public BufferedImage deserialize(byte[] buffer) {
-            try {
-                BufferedImage img = ImageIO.read(new ByteArrayInputStream(buffer));
-                return img;
-            } catch (IOException e){
-                throw new RuntimeException(e);
-            }
-        }
-
-        @Override
-        public byte[] serialize(BufferedImage image) {
-            try{
-                val baos = new ByteArrayOutputStream();
-                ImageIO.write(image, "bmp", baos);
-                byte[] bytes = baos.toByteArray();
-                return bytes;
-            } catch (IOException e){
-                throw new RuntimeException(e);
-            }
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/JsonModelServerTest.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/JsonModelServerTest.java
deleted file mode 100644
index 5646ee558..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/JsonModelServerTest.java
+++ /dev/null
@@ -1,759 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote;
-
-import lombok.AllArgsConstructor;
-import lombok.Data;
-import lombok.NoArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import lombok.val;
-import org.deeplearning4j.BaseDL4JTest;
-import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
-import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
-import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
-import org.deeplearning4j.nn.conf.graph.MergeVertex;
-import org.deeplearning4j.nn.conf.layers.*;
-import org.deeplearning4j.nn.graph.ComputationGraph;
-import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
-import org.deeplearning4j.nn.weights.WeightInit;
-import org.deeplearning4j.parallelism.inference.InferenceMode;
-import org.deeplearning4j.remote.helpers.House;
-import org.deeplearning4j.remote.helpers.HouseToPredictedPriceAdapter;
-import org.deeplearning4j.remote.helpers.PredictedPrice;
-import org.junit.After;
-import org.junit.Before;
-import org.junit.Test;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.autodiff.samediff.SDVariable;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.linalg.activations.Activation;
-import org.nd4j.linalg.api.buffer.DataType;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.linalg.learning.config.Adam;
-import org.nd4j.linalg.learning.config.Sgd;
-import org.nd4j.linalg.lossfunctions.LossFunctions;
-import org.nd4j.remote.clients.JsonRemoteInference;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-import org.nd4j.shade.jackson.databind.ObjectMapper;
-
-
-import java.io.IOException;
-import java.util.Collections;
-import java.util.concurrent.ExecutionException;
-import java.util.concurrent.Future;
-import java.util.concurrent.TimeUnit;
-import java.util.concurrent.atomic.AtomicInteger;
-
-import static org.deeplearning4j.parallelism.inference.InferenceMode.INPLACE;
-import static org.deeplearning4j.parallelism.inference.InferenceMode.SEQUENTIAL;
-import static org.junit.Assert.*;
-
-@Slf4j
-public class JsonModelServerTest extends BaseDL4JTest {
-    private static final MultiLayerNetwork model;
-
-    static {
-        val conf = new NeuralNetConfiguration.Builder()
-                .seed(119)
-                .updater(new Adam(0.119f))
-                .weightInit(WeightInit.XAVIER)
-                .list()
-                    .layer(0, new DenseLayer.Builder().activation(Activation.TANH).nIn(4).nOut(10).build())
-                    .layer(1, new OutputLayer.Builder(LossFunctions.LossFunction.SQUARED_LOSS).activation(Activation.SIGMOID).nIn(10).nOut(1).build())
-                .build();
-
-        model = new MultiLayerNetwork(conf);
-        model.init();
-    }
-
-    @After
-    public void pause() throws Exception {
-        // Need to wait for server shutdown; without sleep, tests will fail if starting immediately after shutdown
-        TimeUnit.SECONDS.sleep(2);
-    }
-
-    private AtomicInteger portCount = new AtomicInteger(18080);
-    private int PORT;
-
-    @Before
-    public void setPort(){
-        PORT = portCount.getAndIncrement();
-    }
-
-
-    @Test
-    public void testStartStopParallel() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 1,4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val serverDL = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .numWorkers(1)
-                .inferenceMode(SEQUENTIAL)
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .port(PORT)
-                .build();
-
-        val serverSD = new JsonModelServer.Builder(sd)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .port(PORT+1)
-                .build();
-        try {
-            serverDL.start();
-            serverSD.start();
-
-            val clientDL = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                    .endpointAddress("http://localhost:" + PORT  + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-            PredictedPrice price = clientDL.predict(house);
-            long timeStart = System.currentTimeMillis();
-            price = clientDL.predict(house);
-            long timeStop = System.currentTimeMillis();
-            log.info("Time spent: {} ms", timeStop - timeStart);
-            assertNotNull(price);
-            assertEquals((float) 0.421444, price.getPrice(), 1e-5);
-
-            val clientSD = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                    .endpointAddress("http://localhost:" + (PORT+1)  + "/v1/serving")
-                    .build();
-
-            PredictedPrice price2 = clientSD.predict(house);
-            timeStart = System.currentTimeMillis();
-            price = clientSD.predict(house);
-            timeStop = System.currentTimeMillis();
-            log.info("Time spent: {} ms", timeStop - timeStart);
-            assertNotNull(price);
-            assertEquals((float) 3.0, price.getPrice(), 1e-5);
-
-        }
-        finally {
-            serverSD.stop();
-            serverDL.stop();
-        }
-    }
-
-    @Test
-    public void testStartStopSequential() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 1,4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val serverDL = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .numWorkers(1)
-                .inferenceMode(SEQUENTIAL)
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .port(PORT)
-                .build();
-
-        val serverSD = new JsonModelServer.Builder(sd)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .port(PORT+1)
-                .build();
-
-        serverDL.start();
-        serverDL.stop();
-
-        serverSD.start();
-        serverSD.stop();
-    }
-
-    @Test
-    public void basicServingTestForSD() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 1,4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new JsonModelServer.Builder(sd)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .port(PORT)
-                .build();
-
-        try {
-            server.start();
-
-            val client = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                    .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-            // warmup
-            PredictedPrice price = client.predict(house);
-
-            val timeStart = System.currentTimeMillis();
-            price = client.predict(house);
-            val timeStop = System.currentTimeMillis();
-
-            log.info("Time spent: {} ms", timeStop - timeStart);
-
-            assertNotNull(price);
-            assertEquals((float) district + 1.0f, price.getPrice(), 1e-5);
-        }
-        finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void basicServingTestForDLSynchronized() throws Exception {
-        val server = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .numWorkers(1)
-                .inferenceMode(INPLACE)
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .port(PORT)
-                .build();
-
-        try {
-            server.start();
-
-            val client = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                    .endpointAddress("http://localhost:" + PORT  + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house1 = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-            House house2 = House.builder().area(50).bathrooms(1).bedrooms(2).district(district).build();
-            House house3 = House.builder().area(80).bathrooms(1).bedrooms(3).district(district).build();
-
-            // warmup
-            PredictedPrice price = client.predict(house1);
-
-            val timeStart = System.currentTimeMillis();
-            PredictedPrice price1 = client.predict(house1);
-            PredictedPrice price2 = client.predict(house2);
-            PredictedPrice price3 = client.predict(house3);
-            val timeStop = System.currentTimeMillis();
-
-            log.info("Time spent: {} ms", timeStop - timeStart);
-
-            assertNotNull(price);
-            assertEquals((float) 0.421444, price.getPrice(), 1e-5);
-
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void basicServingTestForDL() throws Exception {
-
-        val server = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .numWorkers(1)
-                .inferenceMode(SEQUENTIAL)
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .port(PORT)
-                .parallelMode(false)
-                .build();
-
-        try {
-            server.start();
-
-            val client = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                    .endpointAddress("http://localhost:" + PORT  + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-            // warmup
-            PredictedPrice price = client.predict(house);
-
-            val timeStart = System.currentTimeMillis();
-            price = client.predict(house);
-            val timeStop = System.currentTimeMillis();
-
-            log.info("Time spent: {} ms", timeStop - timeStart);
-
-            assertNotNull(price);
-            assertEquals((float) 0.421444, price.getPrice(), 1e-5);
-
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void testDeserialization_1() {
-        String request = "{\"bedrooms\":3,\"area\":100,\"district\":2,\"bathrooms\":2}";
-        val deserializer = new House.HouseDeserializer();
-        val result = deserializer.deserialize(request);
-        assertEquals(2, result.getDistrict());
-        assertEquals(100, result.getArea());
-        assertEquals(2, result.getBathrooms());
-        assertEquals(3, result.getBedrooms());
-
-    }
-
-    @Test
-    public void testDeserialization_2() {
-        String request = "{\"price\":1}";
-        val deserializer = new PredictedPrice.PredictedPriceDeserializer();
-        val result = deserializer.deserialize(request);
-        assertEquals(1.0, result.getPrice(), 1e-4);
-    }
-
-    @Test(expected = NullPointerException.class)
-    public void negativeServingTest_1() throws Exception {
-
-        val server = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(null)
-                .port(PORT)
-                .build();
-    }
-
-    @Test //(expected = NullPointerException.class)
-    public void negativeServingTest_2() throws Exception {
-
-        val server = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .port(PORT)
-                .build();
-
-    }
-
-    @Test(expected = IOException.class)
-    public void negativeServingTest_3() throws Exception {
-
-        val server = new JsonModelServer.Builder(model)
-                    .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                    .inputDeserializer(new House.HouseDeserializer())
-                    .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                    .inferenceMode(SEQUENTIAL)
-                    .numWorkers(1)
-                    .port(PORT)
-                    .build();
-
-        try {
-            server.start();
-
-            val client = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new JsonDeserializer() {
-                        @Override
-                        public PredictedPrice deserialize(String json) {
-                            return null;
-                        }
-                    })
-                    .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-            // warmup
-            PredictedPrice price = client.predict(house);
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void asyncServingTest() throws Exception {
-
-        val server = new JsonModelServer.Builder(model)
-                    .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                    .inputDeserializer(new House.HouseDeserializer())
-                    .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                    .inferenceMode(SEQUENTIAL)
-                    .numWorkers(1)
-                    .port(PORT)
-                    .build();
-
-        try {
-            server.start();
-
-            val client = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                    .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-            val timeStart = System.currentTimeMillis();
-            Future price = client.predictAsync(house);
-            assertNotNull(price);
-            assertEquals((float) 0.421444, price.get().getPrice(), 1e-5);
-            val timeStop = System.currentTimeMillis();
-
-            log.info("Time spent: {} ms", timeStop - timeStart);
-        }
-        finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void negativeAsyncTest() throws Exception {
-
-        val server = new JsonModelServer.Builder(model)
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .inferenceMode(InferenceMode.BATCHED)
-                .numWorkers(1)
-                .port(PORT)
-                .build();
-
-        try {
-            server.start();
-
-            // Fake deserializer to test failure
-            val client = JsonRemoteInference.builder()
-                    .inputSerializer(new House.HouseSerializer())
-                    .outputDeserializer(new JsonDeserializer() {
-                        @Override
-                        public PredictedPrice deserialize(String json) {
-                            return null;
-                        }
-                    })
-                    .endpointAddress("http://localhost:" + PORT + "/v1/serving")
-                    .build();
-
-            int district = 2;
-            House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-            val timeStart = System.currentTimeMillis();
-            try {
-                Future price = client.predictAsync(house);
-                assertNotNull(price);
-                assertEquals((float) district + 1.0f, price.get().getPrice(), 1e-5);
-                val timeStop = System.currentTimeMillis();
-
-                log.info("Time spent: {} ms", timeStop - timeStart);
-            } catch (ExecutionException e) {
-                assertTrue(e.getMessage().contains("Deserialization failed"));
-            }
-        } finally {
-            server.stop();
-        }
-    }
-
-
-    @Test
-    public void testSameDiffMnist() throws Exception {
-
-        SameDiff sd = SameDiff.create();
-        SDVariable in = sd.placeHolder("in", DataType.FLOAT, -1, 28*28);
-        SDVariable w = sd.var("w", Nd4j.rand(DataType.FLOAT, 28*28, 10));
-        SDVariable b = sd.var("b", Nd4j.rand(DataType.FLOAT, 1, 10));
-        SDVariable sm = sd.nn.softmax("softmax", in.mmul(w).add(b), -1);
-
-        val server = new JsonModelServer.Builder(sd)
-                .outputSerializer( new IntSerde())
-                .inputDeserializer(new FloatSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(float[] input) {
-                        return new MultiDataSet(Nd4j.create(input, 1, input.length), null);
-                    }
-
-                    @Override
-                    public Integer apply(INDArray... nnOutput) {
-                        return nnOutput[0].argMax().getInt(0);
-                    }
-                })
-                .orderedInputNodes("in")
-                .orderedOutputNodes("softmax")
-                .port(PORT+1)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + (PORT+1) + "/v1/serving")
-                .outputDeserializer(new IntSerde())
-                .inputSerializer( new FloatSerde())
-                .build();
-
-        try{
-            server.start();
-            for( int i=0; i<10; i++ ){
-                INDArray f = Nd4j.rand(DataType.FLOAT, 1, 28*28);
-                INDArray exp = sd.output(Collections.singletonMap("in", f), "softmax").get("softmax");
-                float[] fArr = f.toFloatVector();
-                int out = client.predict(fArr);
-                assertEquals(exp.argMax().getInt(0), out);
-            }
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void testMlnMnist() throws Exception {
-
-        MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()
-                .list()
-                .layer(new DenseLayer.Builder().nIn(784).nOut(10).build())
-                .layer(new LossLayer.Builder().activation(Activation.SOFTMAX).build())
-                .build();
-
-        MultiLayerNetwork net = new MultiLayerNetwork(conf);
-        net.init();
-
-        val server = new JsonModelServer.Builder(net)
-                .outputSerializer( new IntSerde())
-                .inputDeserializer(new FloatSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(float[] input) {
-                        return new MultiDataSet(Nd4j.create(input, 1, input.length), null);
-                    }
-
-                    @Override
-                    public Integer apply(INDArray... nnOutput) {
-                        return nnOutput[0].argMax().getInt(0);
-                    }
-                })
-                .orderedInputNodes("in")
-                .orderedOutputNodes("softmax")
-                .port(PORT + 1)
-                .inferenceMode(SEQUENTIAL)
-                .numWorkers(2)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + (PORT + 1) + "/v1/serving")
-                .outputDeserializer(new IntSerde())
-                .inputSerializer( new FloatSerde())
-                .build();
-
-        try {
-            server.start();
-            for (int i = 0; i < 10; i++) {
-                INDArray f = Nd4j.rand(DataType.FLOAT, 1, 28 * 28);
-                INDArray exp = net.output(f);
-                float[] fArr = f.toFloatVector();
-                int out = client.predict(fArr);
-                assertEquals(exp.argMax().getInt(0), out);
-            }
-        } catch (Exception e){
-            log.error("",e);
-            throw e;
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void testCompGraph() throws Exception {
-
-        ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder()
-                .graphBuilder()
-                .addInputs("input1", "input2")
-                .addLayer("L1", new DenseLayer.Builder().nIn(3).nOut(4).build(), "input1")
-                .addLayer("L2", new DenseLayer.Builder().nIn(3).nOut(4).build(), "input2")
-                .addVertex("merge", new MergeVertex(), "L1", "L2")
-                .addLayer("out", new OutputLayer.Builder().nIn(4+4).nOut(3).build(), "merge")
-                .setOutputs("out")
-                .build();
-
-        ComputationGraph net = new ComputationGraph(conf);
-        net.init();
-
-        val server = new JsonModelServer.Builder(net)
-                .outputSerializer( new IntSerde())
-                .inputDeserializer(new FloatSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(float[] input) {
-                        return new MultiDataSet(Nd4j.create(input, 1, input.length), null);
-                    }
-
-                    @Override
-                    public Integer apply(INDArray... nnOutput) {
-                        return nnOutput[0].argMax().getInt(0);
-                    }
-                })
-                .orderedInputNodes("in")
-                .orderedOutputNodes("softmax")
-                .port(PORT + 1)
-                .inferenceMode(SEQUENTIAL)
-                .numWorkers(2)
-                .parallelMode(false)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + (PORT + 1) + "/v1/serving")
-                .outputDeserializer(new IntSerde())
-                .inputSerializer( new FloatSerde())
-                .build();
-
-        try {
-            server.start();
-            //client.predict(new float[]{0.0f, 1.0f, 2.0f});
-        } catch (Exception e){
-            log.error("",e);
-            throw e;
-        } finally {
-            server.stop();
-        }
-    }
-
-    @Test
-    public void testCompGraph_1() throws Exception {
-
-        ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder()
-                .updater(new Sgd(0.01))
-                .graphBuilder()
-                .addInputs("input")
-                .addLayer("L1", new DenseLayer.Builder().nIn(8).nOut(4).build(), "input")
-                .addLayer("out1", new OutputLayer.Builder()
-                        .lossFunction(LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD)
-                        .nIn(4).nOut(3).build(), "L1")
-                .addLayer("out2", new OutputLayer.Builder()
-                        .lossFunction(LossFunctions.LossFunction.MSE)
-                        .nIn(4).nOut(2).build(), "L1")
-                .setOutputs("out1","out2")
-                .build();
-
-        final ComputationGraph net = new ComputationGraph(conf);
-        net.init();
-
-        val server = new JsonModelServer.Builder(net)
-                .outputSerializer( new IntSerde())
-                .inputDeserializer(new FloatSerde())
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(float[] input) {
-                        return new MultiDataSet(Nd4j.create(input, 1, input.length), null);
-                    }
-
-                    @Override
-                    public Integer apply(INDArray... nnOutput) {
-                        return nnOutput[0].argMax().getInt(0);
-                    }
-                })
-                .orderedInputNodes("input")
-                .orderedOutputNodes("out")
-                .port(PORT + 1)
-                .inferenceMode(SEQUENTIAL)
-                .numWorkers(2)
-                .parallelMode(false)
-                .build();
-
-        val client = JsonRemoteInference.builder()
-                .endpointAddress("http://localhost:" + (PORT + 1) + "/v1/serving")
-                .outputDeserializer(new IntSerde())
-                .inputSerializer( new FloatSerde())
-                .build();
-
-        try {
-            server.start();
-            val result = client.predict(new float[]{0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f});
-            assertNotNull(result);
-        } catch (Exception e){
-            log.error("",e);
-            throw e;
-        } finally {
-            server.stop();
-        }
-    }
-
-    private static class FloatSerde implements JsonSerializer, JsonDeserializer{
-        private final ObjectMapper om = new ObjectMapper();
-
-        @Override
-        public float[] deserialize(String json) {
-            try {
-                return om.readValue(json, FloatHolder.class).getFloats();
-            } catch (IOException e){
-                throw new RuntimeException(e);
-            }
-        }
-
-        @Override
-        public String serialize(float[] o) {
-            try{
-                return om.writeValueAsString(new FloatHolder(o));
-            } catch (IOException e){
-                throw new RuntimeException(e);
-            }
-        }
-
-        //Use float holder so Jackson does ser/de properly (no "{}" otherwise)
-        @AllArgsConstructor @NoArgsConstructor @Data
-        private static class FloatHolder {
-            private float[] floats;
-        }
-    }
-
-    private static class IntSerde implements JsonSerializer, JsonDeserializer {
-        private final ObjectMapper om = new ObjectMapper();
-
-        @Override
-        public Integer deserialize(String json) {
-            try {
-                return om.readValue(json, Integer.class);
-            } catch (IOException e){
-                throw new RuntimeException(e);
-            }
-        }
-
-        @Override
-        public String serialize(Integer o) {
-            try{
-                return om.writeValueAsString(o);
-            } catch (IOException e){
-                throw new RuntimeException(e);
-            }
-        }
-    }
-}
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/ServletTest.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/ServletTest.java
deleted file mode 100644
index ede253efa..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/ServletTest.java
+++ /dev/null
@@ -1,134 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote;
-
-import lombok.val;
-import org.apache.http.client.methods.HttpGet;
-import org.apache.http.client.methods.HttpPost;
-import org.apache.http.impl.client.HttpClientBuilder;
-import org.deeplearning4j.BaseDL4JTest;
-import org.junit.After;
-import org.junit.Before;
-import org.junit.Test;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-
-import java.io.IOException;
-
-import static org.junit.Assert.assertEquals;
-
-public class ServletTest extends BaseDL4JTest {
-
-    private JsonModelServer server;
-
-    @Before
-    public void setUp() throws Exception {
-        val sd = SameDiff.create();
-        server = new JsonModelServer.Builder(sd)
-                .port(8080)
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(String input) {
-                        return null;
-                    }
-
-                    @Override
-                    public String apply(INDArray... nnOutput) {
-                        return null;
-                    }
-                })
-                .outputSerializer(new JsonSerializer() {
-                    @Override
-                    public String serialize(String o) {
-                        return "";
-                    }
-                })
-                .inputDeserializer(new JsonDeserializer() {
-                    @Override
-                    public String deserialize(String json) {
-                        return "";
-                    }
-                })
-                .orderedInputNodes("input")
-                .orderedOutputNodes("output")
-                .build();
-
-        server.start();
-        //server.join();
-    }
-
-    @After
-    public void tearDown() throws Exception {
-        server.stop();
-    }
-
-    @Test
-    public void getEndpoints() throws IOException {
-        val request = new HttpGet( "http://localhost:8080/v1" );
-        request.setHeader("Content-type", "application/json");
-
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(200, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testContentTypeGet() throws IOException {
-        val request = new HttpGet( "http://localhost:8080/v1" );
-        request.setHeader("Content-type", "text/plain");
-
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(415, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testContentTypePost() throws Exception {
-        val request = new HttpPost("http://localhost:8080/v1/serving");
-        request.setHeader("Content-type", "text/plain");
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(415, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void postForServing() throws Exception {
-        val request = new HttpPost("http://localhost:8080/v1/serving");
-        request.setHeader("Content-type", "application/json");
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(500, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testNotFoundPost() throws Exception {
-        val request = new HttpPost("http://localhost:8080/v1/serving/some");
-        request.setHeader("Content-type", "application/json");
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(404, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testNotFoundGet() throws Exception {
-        val requestGet = new HttpGet( "http://localhost:8080/v1/not_found" );
-        requestGet.setHeader("Content-type", "application/json");
-
-        val responseGet = HttpClientBuilder.create().build().execute( requestGet );
-        assertEquals(404, responseGet.getStatusLine().getStatusCode());
-    }
-
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/House.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/House.java
deleted file mode 100644
index d66c8bae5..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/House.java
+++ /dev/null
@@ -1,48 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote.helpers;
-
-import com.google.gson.Gson;
-import lombok.*;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-
-@Data
-@Builder
-@AllArgsConstructor
-@NoArgsConstructor
-public class House {
-    private int district;
-    private int bedrooms;
-    private int bathrooms;
-    private int area;
-
-
-    public static class HouseSerializer implements JsonSerializer {
-        @Override
-        public String serialize(@NonNull House o) {
-            return new Gson().toJson(o);
-        }
-    }
-
-    public static class HouseDeserializer implements JsonDeserializer {
-        @Override
-        public House deserialize(@NonNull String json) {
-            return new Gson().fromJson(json, House.class);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/HouseToPredictedPriceAdapter.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/HouseToPredictedPriceAdapter.java
deleted file mode 100644
index 82976a3da..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/HouseToPredictedPriceAdapter.java
+++ /dev/null
@@ -1,40 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote.helpers;
-
-import lombok.NonNull;
-import lombok.extern.slf4j.Slf4j;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.linalg.api.buffer.DataType;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.linalg.factory.Nd4j;
-
-@Slf4j
-public class HouseToPredictedPriceAdapter implements InferenceAdapter {
-
-    @Override
-    public MultiDataSet apply(@NonNull House input) {
-        // we just create vector array with shape[4] and assign it's value to the district value
-        return new MultiDataSet(Nd4j.create(DataType.FLOAT, 1, 4).assign(input.getDistrict()), null);
-    }
-
-    @Override
-    public PredictedPrice apply(INDArray... nnOutput) {
-        return new PredictedPrice(nnOutput[0].getFloat(0));
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/ImageConversionUtils.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/ImageConversionUtils.java
deleted file mode 100644
index bba9eb4a9..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/ImageConversionUtils.java
+++ /dev/null
@@ -1,82 +0,0 @@
-package org.deeplearning4j.remote.helpers;
-
-import lombok.val;
-import org.bytedeco.javacpp.indexer.UByteIndexer;
-import org.bytedeco.javacv.Java2DFrameConverter;
-import org.bytedeco.javacv.OpenCVFrameConverter;
-import org.bytedeco.opencv.opencv_core.Mat;
-import org.datavec.image.loader.Java2DNativeImageLoader;
-import org.datavec.image.loader.NativeImageLoader;
-import org.nd4j.linalg.api.ndarray.INDArray;
-
-import java.awt.image.BufferedImage;
-import java.io.IOException;
-import java.util.Random;
-
-import static org.bytedeco.opencv.global.opencv_core.CV_8UC;
-
-public class ImageConversionUtils {
-
-    public static Mat makeRandomImage(int height, int width, int channels) {
-        if (height <= 0) {
-
-            height = new Random().nextInt() % 100 + 100;
-        }
-        if (width <= 0) {
-            width = new Random().nextInt() % 100 + 100;
-        }
-
-        Mat img = new Mat(height, width, CV_8UC(channels));
-        UByteIndexer idx = img.createIndexer();
-        for (int i = 0; i < height; i++) {
-            for (int j = 0; j < width; j++) {
-                for (int k = 0; k < channels; k++) {
-                    idx.put(i, j, k, new Random().nextInt());
-                }
-            }
-        }
-        return img;
-    }
-
-    public static BufferedImage makeRandomBufferedImage(int height, int width, int channels) {
-        Mat img = makeRandomImage(height, width, channels);
-
-        OpenCVFrameConverter.ToMat c = new OpenCVFrameConverter.ToMat();
-        Java2DFrameConverter c2 = new Java2DFrameConverter();
-
-        return c2.convert(c.convert(img));
-    }
-
-    public static INDArray convert(BufferedImage image) {
-        INDArray retVal = null;
-        try {
-            retVal = new Java2DNativeImageLoader(image.getHeight(), image.getWidth(), image.getRaster().getNumBands()).
-                    asRowVector(image);
-        }
-        catch (IOException e) {
-            throw new RuntimeException(e);
-        }
-        return retVal;
-    }
-
-    public static INDArray convert(Mat image) {
-        INDArray retVal = null;
-        try {
-            new NativeImageLoader().asRowVector(image);
-        }
-        catch (IOException e) {
-            throw new RuntimeException(e);
-        }
-        return retVal;
-    }
-
-    public static BufferedImage convert(INDArray input) {
-        return new Java2DNativeImageLoader(input.rows(),input.columns()).asBufferedImage(input);
-    }
-
-    public static INDArray makeRandomImageAsINDArray(int height, int width, int channels) {
-        val image = makeRandomBufferedImage(height, width, channels);
-        INDArray retVal = convert(image);
-        return retVal;
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/PredictedPrice.java b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/PredictedPrice.java
deleted file mode 100644
index c4024bb1d..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/java/org/deeplearning4j/remote/helpers/PredictedPrice.java
+++ /dev/null
@@ -1,47 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.remote.helpers;
-
-import com.google.gson.Gson;
-import lombok.AllArgsConstructor;
-import lombok.Data;
-import lombok.NoArgsConstructor;
-import lombok.NonNull;
-import lombok.extern.slf4j.Slf4j;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-
-@Data
-@AllArgsConstructor
-@NoArgsConstructor
-public class PredictedPrice {
-    private float price;
-
-    public static class PredictedPriceSerializer implements JsonSerializer {
-        @Override
-        public String serialize(@NonNull PredictedPrice o) {
-            return new Gson().toJson(o);
-        }
-    }
-
-    public static class PredictedPriceDeserializer implements JsonDeserializer {
-        @Override
-        public PredictedPrice deserialize(@NonNull String json) {
-            return new Gson().fromJson(json, PredictedPrice.class);
-        }
-    }
-}
diff --git a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/resources/logback.xml
deleted file mode 100644
index cbcbed5d6..000000000
--- a/deeplearning4j/deeplearning4j-remote/deeplearning4j-json-server/src/test/resources/logback.xml
+++ /dev/null
@@ -1,48 +0,0 @@
-
-
-
-
-
-
-    
-        logs/application.log
-        
-             %logger{15} - %message%n%xException{5}
-            
-        
-    
-
-    
-        
-             %logger{15} - %message%n%xException{5}
-            
-        
-    
-
-    
-    
-    
-    
-    
-
-
-    
-        
-        
-    
-
-
\ No newline at end of file
diff --git a/deeplearning4j/deeplearning4j-remote/pom.xml b/deeplearning4j/deeplearning4j-remote/pom.xml
deleted file mode 100644
index 1816689a4..000000000
--- a/deeplearning4j/deeplearning4j-remote/pom.xml
+++ /dev/null
@@ -1,33 +0,0 @@
-
-
-
-  4.0.0
-  pom
-
-  
-    deeplearning4j-json-server
-  
-
-  
-    org.deeplearning4j
-    deeplearning4j-parent
-    1.0.0-SNAPSHOT
-  
-
-  deeplearning4j-remote
-  1.0.0-SNAPSHOT
-  deeplearning4j-remote
-
-  
-    
-      testresources
-    
-    
-      test-nd4j-native
-    
-    
-      test-nd4j-cuda-11.0
-    
-  
-
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/pom.xml b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/pom.xml
index 18392dfc0..8aa886719 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/pom.xml
@@ -1,30 +1,37 @@
-
+
+
+
+
 
-
-    
-        deeplearning4j-scaleout
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        deeplearning4j-scaleout
+        1.0.0-SNAPSHOT
+    
+
     deeplearning4j-scaleout-parallelwrapper-parameter-server
-    jar
 
     deeplearning4j-scaleout-parallelwrapper-parameter-server
 
@@ -32,23 +39,17 @@
         
         2.11.12
         2.11
+        1.8
+        1.8
+        2.2.21
     
 
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
     
+        
+            io.reactivex.rxjava2
+            rxjava
+            ${rxjava.version}
+        
         
             org.deeplearning4j
             deeplearning4j-parallel-wrapper
@@ -72,21 +73,17 @@
         
             junit
             junit
-            test
         
-
         
             org.scala-lang
             scala-library
             ${scala.version}
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -107,7 +104,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainer.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainer.java
index 8da0eb90d..ce14ae0b6 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.parameterserver;
 
@@ -34,13 +38,6 @@ import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Using an {@link ParameterServerClient}
- * we maintain updates for training a neural net.
- * Training happens relative to the mode of the remote {@link org.nd4j.parameterserver.node.ParameterServerNode}
- *
- * @author Adam Gibson
- */
 @Builder
 @Slf4j
 @AllArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainerContext.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainerContext.java
index ccd362d59..9e509888c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainerContext.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/main/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerTrainerContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.parameterserver;
 
@@ -26,12 +30,6 @@ import org.deeplearning4j.parallelism.trainer.Trainer;
 import org.nd4j.parameterserver.client.ParameterServerClient;
 import org.nd4j.parameterserver.node.ParameterServerNode;
 
-/**
- * Used for creating and running {@link ParallelWrapper}
- * with {@link ParameterServerTrainer} workers.
- *
- * @author Adam Gibson
- */
 public class ParameterServerTrainerContext implements TrainerContext {
 
     private ParameterServerNode parameterServerNode;
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerParallelWrapperTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerParallelWrapperTest.java
index ad610739f..322a8e28f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerParallelWrapperTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/java/org/deeplearning4j/parallelism/parameterserver/ParameterServerParallelWrapperTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.parameterserver;
 
@@ -35,9 +39,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * Created by agibsonccc on 12/17/16.
- */
 @Slf4j
 public class ParameterServerParallelWrapperTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/aeron.properties b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/aeron.properties
index dc91547b2..7edd171a7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/aeron.properties
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/aeron.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 aeron.mtu.length=16384,
 aeron.socket.so_sndbuf=2097152,
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/log4j.properties b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/log4j.properties
index dfbc3b868..b1249667f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/log4j.properties
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 
 log4j.rootLogger=ERROR, Console
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/logback.xml
index f6b823056..784b0a964 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper-parameter-server/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/pom.xml b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/pom.xml
index 36a77391e..b32a4807d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/pom.xml
@@ -1,48 +1,43 @@
-
+
+
+
+
 
-
-    
-        deeplearning4j-scaleout
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        deeplearning4j-scaleout
+        1.0.0-SNAPSHOT
+    
+
     deeplearning4j-parallel-wrapper
-    jar
 
     deeplearning4j-parallel-wrapper
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
+
     
-        UTF-8
+        1.8
+        1.8
     
 
     
@@ -56,14 +51,11 @@
             org.slf4j
             slf4j-api
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
-
         
             org.nd4j
             nd4j-parameter-server
@@ -83,14 +75,12 @@
             deeplearning4j-core
             ${project.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-ui
             ${project.version}
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -107,5 +97,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/EarlyStoppingParallelTrainer.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/EarlyStoppingParallelTrainer.java
index 4ba5ba4ce..2cfa01f36 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/EarlyStoppingParallelTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/EarlyStoppingParallelTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -40,12 +44,6 @@ import java.util.*;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Conduct parallel early stopping training with ParallelWrapper under the hood.

- * Can be used to train a {@link MultiLayerNetwork} or a {@link ComputationGraph} via early stopping.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class EarlyStoppingParallelTrainer implements IEarlyStoppingTrainer {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/InplaceParallelInference.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/InplaceParallelInference.java
index 149a122f2..20dcd51d9 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/InplaceParallelInference.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/InplaceParallelInference.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -38,16 +42,6 @@ import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This ParallelInference implementation provides inference functionality without launching additional threads, so inference happens in the calling thread.
- *
- * To instantiate this implementation one should use InferenceMode.INPLACE in ParallelInference.Builder
- *
- * PLEASE NOTE: This implementation does not create additional threads
- * PLEASE NOTE: This implementation uses shared parameters for models on per-device basis
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class InplaceParallelInference extends ParallelInference {
     protected List holders = new CopyOnWriteArrayList<>();
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelInference.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelInference.java
index 9f5af35f0..67a693dc0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelInference.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelInference.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -46,12 +50,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This class is simple wrapper for
- * ParallelInference using batched input
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ParallelInference {
     protected Model model;
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelWrapper.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelWrapper.java
index 842ac34b2..46390ee1d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelWrapper.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/ParallelWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -62,14 +66,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This is simple data-parallel wrapper
- * suitable for multi-cpu/multi-gpu environments.
- *
- * PLEASE NOTE: This implementation is NOT NUMA-aware.
- *
- * @author raver119@gmail.com
- */
 // TODO: We want this thing to be NUMA-aware in foreseeable future
 @Slf4j
 @Data
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContext.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContext.java
index 4fa6e9a95..4aea543eb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContext.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.factory;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.parallelism.ParallelWrapper;
 import org.deeplearning4j.parallelism.trainer.DefaultTrainer;
 import org.deeplearning4j.parallelism.trainer.Trainer;
 
-/**
- * Creates {@link DefaultTrainer}
- * instances for use with {@link ParallelWrapper}
- * @author Adam Gibson
- */
 public class DefaultTrainerContext implements TrainerContext {
     /**
      * Initialize the context
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContext.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContext.java
index 86dfac989..3febe09c0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContext.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.factory;
 
@@ -25,11 +29,6 @@ import org.deeplearning4j.parallelism.trainer.DefaultTrainer;
 import org.deeplearning4j.parallelism.trainer.SymmetricTrainer;
 import org.deeplearning4j.parallelism.trainer.Trainer;
 
-/**
- * Creates {@link DefaultTrainer}
- * instances for use with {@link ParallelWrapper}
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SymmetricTrainerContext implements TrainerContext {
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/TrainerContext.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/TrainerContext.java
index 6e717f42a..cc1bd53f7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/TrainerContext.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/factory/TrainerContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.factory;
 
@@ -21,12 +25,6 @@ import org.deeplearning4j.nn.conf.WorkspaceMode;
 import org.deeplearning4j.parallelism.ParallelWrapper;
 import org.deeplearning4j.parallelism.trainer.Trainer;
 
-/**
- * Creates {@link Trainer}
- * instances for use with {@link ParallelWrapper}
- *
- * @author Adam Gibson
- */
 public interface TrainerContext {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceMode.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceMode.java
index 0ae731c2c..7d576f19d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceMode.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceMode.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference;
 
-/**
- * This enum describes different modes for ParallelInference
- *
- * @author raver119@gmail.com
- */
 public enum InferenceMode {
     /**
      * input will be passed into the model as is
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceObservable.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceObservable.java
index 02095b8ee..30941a40e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceObservable.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/InferenceObservable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference;
 
@@ -22,9 +26,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.List;
 import java.util.Observer;
 
-/**
- * @author raver119@gmail.com
- */
 public interface InferenceObservable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/LoadBalanceMode.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/LoadBalanceMode.java
index d3a1dda6a..6cc08b32c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/LoadBalanceMode.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/LoadBalanceMode.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference;
 
-/**
- * This enum describes various load balance modes for ParallelInference
- *
- * @author raver119@gmail.com
- */
 public enum LoadBalanceMode {
     /**
      * In this mode, `n+1 % nodes` node will be used for next request
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObservable.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObservable.java
index 5223d4528..9200a1353 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObservable.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObservable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference.observers;
 
@@ -28,9 +32,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Observable;
 
-/**
- * This class holds reference input, and implements basic use case: SEQUENTIAL inference
- */
 @Slf4j
 public class BasicInferenceObservable extends Observable implements InferenceObservable {
     private INDArray[] input;
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObserver.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObserver.java
index 4f32aae28..cf87082b1 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObserver.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BasicInferenceObserver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference.observers;
 
@@ -23,12 +27,6 @@ import java.util.Observer;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.locks.LockSupport;
 
-/**
- * Simple Observer implementation for
- * sequential inference
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class BasicInferenceObserver implements Observer {
     private AtomicBoolean finished;
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservable.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservable.java
index 29512bbbb..1ae8995d8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservable.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference.observers;
 
@@ -33,11 +37,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This class holds reference input, and implements second use case: BATCHED inference
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class BatchedInferenceObservable extends BasicInferenceObservable implements InferenceObservable {
     private List inputs = new ArrayList<>();
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/DataSetIteratorProviderFactory.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/DataSetIteratorProviderFactory.java
index 52315d6ff..50043cf84 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/DataSetIteratorProviderFactory.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/DataSetIteratorProviderFactory.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.main;
 
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * Create a dataset iterator.
- * This is for use with {@link ParallelWrapperMain}
- *
- * @author Adam Gibson
- */
 public interface DataSetIteratorProviderFactory {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/MultiDataSetProviderFactory.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/MultiDataSetProviderFactory.java
index d6faf2d2a..a29d2d1ce 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/MultiDataSetProviderFactory.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/MultiDataSetProviderFactory.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.main;
 
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Creates an {@link MultiDataSetIterator}
- *
- * @author Adam Gibson
- */
 public interface MultiDataSetProviderFactory {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/ParallelWrapperMain.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/ParallelWrapperMain.java
index 4a5c889de..c0f6c9785 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/ParallelWrapperMain.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/main/ParallelWrapperMain.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.main;
 
@@ -34,15 +38,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
 import java.io.File;
 
-/**
- * Parallelwrapper main class.
- * Configure a {@link ParallelWrapper}
- * instance from the command line.
- *
- *
- *
- * @author Adam Gibson
- */
 @Data
 @Slf4j
 public class ParallelWrapperMain {
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/CommunicativeTrainer.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/CommunicativeTrainer.java
index d62cfe155..64a2a579c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/CommunicativeTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/CommunicativeTrainer.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.trainer;
 
 import org.deeplearning4j.optimize.listeners.SharedGradient;
 
-/**
- * @author raver119@gmail.com
- */
 public interface CommunicativeTrainer extends Trainer {
 
     void enqueueGradient(SharedGradient gradient);
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/DefaultTrainer.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/DefaultTrainer.java
index a56e8c691..a1909795a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/DefaultTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/DefaultTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.trainer;
 
@@ -46,13 +50,6 @@ import java.util.concurrent.atomic.AtomicLong;
 import java.util.concurrent.locks.LockSupport;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * Trains datasets using a standard in memory
- * parameter averaging technique.
- * Think of this worker as the simplest form of doing parameter averaging
- *
- * @author Adam Gibson
- */
 @Builder
 @Slf4j
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/SymmetricTrainer.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/SymmetricTrainer.java
index b4559d586..96e02cad8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/SymmetricTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/SymmetricTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.trainer;
 
@@ -26,12 +30,6 @@ import org.deeplearning4j.optimize.listeners.SharedGradient;
 import org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator;
 import org.deeplearning4j.parallelism.ParallelWrapper;
 
-/**
- * This trainer implementation does parallel training via gradients broadcasts.
- * After each iteration, gradients from this trainer will be propagated & applied to all other trainers
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SymmetricTrainer extends DefaultTrainer implements CommunicativeTrainer {
     protected GradientsAccumulator accumulator;
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/Trainer.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/Trainer.java
index 538f7579e..51e9be570 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/Trainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/main/java/org/deeplearning4j/parallelism/trainer/Trainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.trainer;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * A Trainer is an individual worker used in {@link org.deeplearning4j.parallelism.ParallelWrapper}
- * for handling training in multi core situations.
- *
- * @author Adam Gibson
- */
 public interface Trainer extends Runnable {
     /**
      * Train on a {@link MultiDataSet}
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/InplaceParallelInferenceTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/InplaceParallelInferenceTest.java
index d089781f1..e29ed17de 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/InplaceParallelInferenceTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/InplaceParallelInferenceTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelInferenceTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelInferenceTest.java
index 33f89ac1e..af74a7ed2 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelInferenceTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelInferenceTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -56,9 +60,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ParallelInferenceTest extends BaseDL4JTest {
     private static MultiLayerNetwork model;
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelWrapperTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelWrapperTest.java
index 5f69dda2f..a50dfe8fa 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelWrapperTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/ParallelWrapperTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -44,9 +48,6 @@ import org.slf4j.LoggerFactory;
 import static org.junit.Assert.assertTrue;
 
 
-/**
- * Created by agibsonccc on 11/12/16.
- */
 public class ParallelWrapperTest extends BaseDL4JTest {
     private static final Logger log = LoggerFactory.getLogger(ParallelWrapperTest.class);
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestListeners.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestListeners.java
index 12b3d45b7..352352365 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestListeners.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestListeners.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
@@ -46,9 +50,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 23/03/2017.
- */
 public class TestListeners extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStopping.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStopping.java
index ac2b018e2..5746c2214 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStopping.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStopping.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStoppingUI.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStoppingUI.java
index e26da4213..b00787d5a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStoppingUI.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/TestParallelEarlyStoppingUI.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContextTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContextTest.java
index c96ca4a19..69064a160 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContextTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/DefaultTrainerContextTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.factory;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContextTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContextTest.java
index 0258caac9..261718369 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContextTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/factory/SymmetricTrainerContextTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.factory;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservableTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservableTest.java
index facf506d6..6c0b6b297 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservableTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/inference/observers/BatchedInferenceObservableTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.inference.observers;
 
@@ -33,9 +37,6 @@ import java.util.List;
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class BatchedInferenceObservableTest extends BaseDL4JTest {
     @Before
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/MnistDataSetIteratorProviderFactory.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/MnistDataSetIteratorProviderFactory.java
index 3dd78b5d4..433900829 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/MnistDataSetIteratorProviderFactory.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/MnistDataSetIteratorProviderFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.main;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
 import java.io.IOException;
 
-/**
- * Created by agibsonccc on 12/29/16.
- */
 public class MnistDataSetIteratorProviderFactory implements DataSetIteratorProviderFactory {
     /**
      * Create an {@link DataSetIterator}
diff --git a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/ParallelWrapperMainTest.java b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/ParallelWrapperMainTest.java
index ae6672b47..dabbc9469 100644
--- a/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/ParallelWrapperMainTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/deeplearning4j-scaleout-parallelwrapper/src/test/java/org/deeplearning4j/parallelism/main/ParallelWrapperMainTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.parallelism.main;
 
@@ -39,9 +43,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import java.io.File;
 
-/**
- * Created by agibsonccc on 12/29/16.
- */
 @Slf4j
 public class ParallelWrapperMainTest extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/pom.xml b/deeplearning4j/deeplearning4j-scaleout/pom.xml
index d0a199d76..6cb37caa7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/pom.xml
@@ -1,30 +1,39 @@
 
-
+
+
+
 
-
     4.0.0
+
     
         org.deeplearning4j
         deeplearning4j-parent
         1.0.0-SNAPSHOT
     
+
     deeplearning4j-scaleout
     pom
+
     DeepLearning4j-scaleout-parent
 
     
@@ -41,5 +50,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/pom.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/pom.xml
index 693fbcf7a..214c7a271 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/pom.xml
@@ -1,34 +1,41 @@
-
+
+
+
+
 
-
-    
-        spark_2.11
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        spark_2.11
+        1.0.0-SNAPSHOT
+    
+
     dl4j-spark-nlp-java8_2.11
-    jar
 
     dl4j-spark-nlp-java8
 
     
-        UTF-8
         3.4.2
     
 
@@ -59,14 +66,12 @@
             junit
             test
         
-
         
             org.apache.spark
             spark-core_2.11
             ${spark.version}
             provided
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -83,5 +88,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/SparkParagraphVectors.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/SparkParagraphVectors.java
index 4aa5b768d..0770ba15f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/SparkParagraphVectors.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/SparkParagraphVectors.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.paragraphvectors;
 
@@ -29,9 +33,6 @@ import org.deeplearning4j.spark.models.paragraphvectors.functions.KeySequenceCon
 import org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors;
 import org.deeplearning4j.text.documentiterator.LabelledDocument;
 
-/**
- * @author raver119@gmail.com
- */
 public class SparkParagraphVectors extends SparkSequenceVectors {
 
     protected SparkParagraphVectors() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/DocumentSequenceConvertFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/DocumentSequenceConvertFunction.java
index 433246e91..54f72c8f7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/DocumentSequenceConvertFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/DocumentSequenceConvertFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.paragraphvectors.functions;
 
@@ -27,9 +31,6 @@ import org.deeplearning4j.text.documentiterator.LabelledDocument;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class DocumentSequenceConvertFunction extends BaseTokenizerFunction
                 implements Function> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/KeySequenceConvertFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/KeySequenceConvertFunction.java
index 01684510d..adf592501 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/KeySequenceConvertFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/paragraphvectors/functions/KeySequenceConvertFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.paragraphvectors.functions;
 
@@ -27,9 +31,6 @@ import scala.Tuple2;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class KeySequenceConvertFunction extends BaseTokenizerFunction
                 implements Function, Sequence> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectors.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectors.java
index fec929ee5..7769c7668 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectors.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectors.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors;
 
@@ -54,11 +58,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Set;
 
-/**
- * Generic SequenceVectors implementation for dl4j-spark-nlp
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SparkSequenceVectors extends SequenceVectors {
     protected Accumulator> elementsFreqAccum;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainer.java
index 771aa2b94..514933793 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.export;
 
@@ -27,9 +31,6 @@ import java.io.Serializable;
 import java.util.Arrays;
 import java.util.regex.Pattern;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/SparkModelExporter.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/SparkModelExporter.java
index d06153cef..b8fd6ed9b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/SparkModelExporter.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/SparkModelExporter.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.export;
 
 import org.apache.spark.api.java.JavaRDD;
 import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
-/**
- * This interface describes
- *
- * @author raver119@gmail.com
- */
 public interface SparkModelExporter {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/HdfsModelExporter.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/HdfsModelExporter.java
index 72b6fa052..4dfdba19d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/HdfsModelExporter.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/HdfsModelExporter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.export.impl;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer;
 import org.deeplearning4j.spark.models.sequencevectors.export.SparkModelExporter;
 
-/**
- * Simple exporter, that will persist your SequenceVectors model into HDFS using TSV format
- *
- * @author raver119@gmail.com
- */
 public class HdfsModelExporter implements SparkModelExporter {
     protected String path;
     protected CompressionCodec codec;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/VocabCacheExporter.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/VocabCacheExporter.java
index 0d649f9af..b8839e355 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/VocabCacheExporter.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/export/impl/VocabCacheExporter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.export.impl;
 
@@ -33,13 +37,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- * This model exporter is suitable for debug/testing only.
- *
- * PLEASE NOTE: Never use this exporter in real environment if your model won't fit into memory of driver.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class VocabCacheExporter implements SparkModelExporter {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/BaseTokenizerFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/BaseTokenizerFunction.java
index e0e100c88..9ab77505e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/BaseTokenizerFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/BaseTokenizerFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -25,9 +29,6 @@ import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
 
 import java.io.Serializable;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BaseTokenizerFunction implements Serializable {
     protected Broadcast configurationBroadcast;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/CountFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/CountFunction.java
index 75fc057f4..72ed9a175 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/CountFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/CountFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -34,11 +38,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 import org.nd4j.parameterserver.distributed.transport.RoutedTransport;
 
-/**
- * This accumulator function does count individual elements, using provided Accumulator
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CountFunction implements Function, Pair, Long>> {
     protected Accumulator> accumulator;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/DistributedFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/DistributedFunction.java
index 5e442c537..6bed200f7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/DistributedFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/DistributedFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -28,11 +32,6 @@ import org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer;
 import org.nd4j.parameterserver.distributed.VoidParameterServer;
 import org.nd4j.parameterserver.distributed.conf.VoidConfiguration;
 
-/**
- *
- *
- * @author raver119@gmail.coms
- */
 @Slf4j
 public class DistributedFunction implements Function> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ElementsFrequenciesAccumulator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ElementsFrequenciesAccumulator.java
index ec68345f5..f6411e9da 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ElementsFrequenciesAccumulator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ElementsFrequenciesAccumulator.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
 import org.apache.spark.AccumulatorParam;
 import org.nd4j.common.primitives.Counter;
 
-/**
- * Accumulator for elements count
- *
- * @author raver119@gmail.com
- */
 public class ElementsFrequenciesAccumulator implements AccumulatorParam> {
     @Override
     public Counter addAccumulator(Counter c1, Counter c2) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExportFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExportFunction.java
index 2a891e5c3..ba407640b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExportFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExportFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement;
 import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
 
-/**
- * This function is used to
- *
- * @author raver119@gmail.com
- */
 public class ExportFunction implements VoidFunction {
 
     public ExportFunction(Broadcast> vocabCacheBroadcast,
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraCountFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraCountFunction.java
index 28e8e9da9..ce7e8b738 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraCountFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraCountFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -24,11 +28,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * This accumulator function does count individual elements, using provided Accumulator
- *
- * @author raver119@gmail.com
- */
 public class ExtraCountFunction implements Function, Pair, Long>> {
     protected Accumulator> accumulator;
     protected boolean fetchLabels;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraElementsFrequenciesAccumulator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraElementsFrequenciesAccumulator.java
index fd8684790..9133c8532 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraElementsFrequenciesAccumulator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ExtraElementsFrequenciesAccumulator.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
 import org.apache.spark.AccumulatorParam;
 import org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter;
 
-/**
- * Accumulator for elements count
- *
- * @author raver119@gmail.com
- */
 public class ExtraElementsFrequenciesAccumulator implements AccumulatorParam> {
     @Override
     public ExtraCounter addAccumulator(ExtraCounter c1, ExtraCounter c2) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ListSequenceConvertFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ListSequenceConvertFunction.java
index fa3e7e57a..095be5970 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ListSequenceConvertFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/ListSequenceConvertFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -22,11 +26,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 
 import java.util.List;
 
-/**
- * Simple function to convert List to Sequence
- *
- * @author raver119@gmail.com
- */
 public class ListSequenceConvertFunction implements Function, Sequence> {
     @Override
     public Sequence call(List ts) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/PartitionTrainingFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/PartitionTrainingFunction.java
index fb0c327b4..93cc68a6e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/PartitionTrainingFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/PartitionTrainingFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -41,9 +45,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class PartitionTrainingFunction implements VoidFunction>> {
     protected Broadcast> vocabCacheBroadcast;
     protected Broadcast configurationBroadcast;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TokenizerFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TokenizerFunction.java
index b65b48a1c..4b18c8838 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TokenizerFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TokenizerFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -26,9 +30,6 @@ import org.deeplearning4j.models.word2vec.VocabWord;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class TokenizerFunction extends BaseTokenizerFunction implements Function> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TrainingFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TrainingFunction.java
index bb80d51c2..03da6f5a0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TrainingFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/TrainingFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -37,11 +41,6 @@ import org.nd4j.parameterserver.distributed.transport.RoutedTransport;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This is wrapper for SequenceVectors training over given Sequence
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class TrainingFunction implements VoidFunction> {
     protected Broadcast> vocabCacheBroadcast;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/VocabRddFunctionFlat.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/VocabRddFunctionFlat.java
index 6a6cdad6a..a9d7a5297 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/VocabRddFunctionFlat.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/functions/VocabRddFunctionFlat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.functions;
 
@@ -34,9 +38,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class VocabRddFunctionFlat implements FlatMapFunction, T> {
     protected Broadcast vectorsConfigurationBroadcast;
     protected Broadcast paramServerConfigurationBroadcast;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkElementsLearningAlgorithm.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkElementsLearningAlgorithm.java
index 76c988475..2b56b8321 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkElementsLearningAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkElementsLearningAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning;
 
@@ -25,11 +29,6 @@ import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Identification layer for Spark-ready implementations of LearningAlgorithms
- *
- * @author raver119@gmail.com
- */
 public interface SparkElementsLearningAlgorithm extends ElementsLearningAlgorithm {
     TrainingDriver getTrainingDriver();
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkSequenceLearningAlgorithm.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkSequenceLearningAlgorithm.java
index 4ed6db70e..96dd9b448 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkSequenceLearningAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/SparkSequenceLearningAlgorithm.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning;
 
 import org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm;
 import org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement;
 
-/**
- * Identification layer for Spark-ready implementations of LearningAlgorithms
- *
- * @author raver119@gmail.com
- */
 public interface SparkSequenceLearningAlgorithm extends SequenceLearningAlgorithm {
 }
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/BaseSparkLearningAlgorithm.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/BaseSparkLearningAlgorithm.java
index 20c07e4e8..408635a98 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/BaseSparkLearningAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/BaseSparkLearningAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning.elements;
 
@@ -27,9 +31,6 @@ import org.deeplearning4j.spark.models.sequencevectors.learning.SparkElementsLea
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BaseSparkLearningAlgorithm implements SparkElementsLearningAlgorithm {
     protected transient VocabCache vocabCache;
     protected transient VectorsConfiguration vectorsConfiguration;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkCBOW.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkCBOW.java
index db065c8e3..977758623 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkCBOW.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkCBOW.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning.elements;
 
@@ -32,9 +36,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class SparkCBOW extends BaseSparkLearningAlgorithm {
 
     TrainingDriver driver = new CbowTrainer();
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkSkipGram.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkSkipGram.java
index c792cede6..e1c60e011 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkSkipGram.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/elements/SparkSkipGram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning.elements;
 
@@ -30,9 +34,6 @@ import org.nd4j.parameterserver.distributed.training.impl.SkipGramTrainer;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SparkSkipGram extends BaseSparkLearningAlgorithm {
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/BaseSparkSequenceLearningAlgorithm.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/BaseSparkSequenceLearningAlgorithm.java
index 88025dc9b..e8c6f4364 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/BaseSparkSequenceLearningAlgorithm.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/BaseSparkSequenceLearningAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning.sequence;
 
@@ -26,9 +30,6 @@ import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
 import org.deeplearning4j.spark.models.sequencevectors.learning.SparkSequenceLearningAlgorithm;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BaseSparkSequenceLearningAlgorithm implements SparkSequenceLearningAlgorithm {
     protected transient VocabCache vocabCache;
     protected transient VectorsConfiguration vectorsConfiguration;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDBOW.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDBOW.java
index b6aeb7bab..8bebddb12 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDBOW.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDBOW.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning.sequence;
 
@@ -29,10 +33,6 @@ import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Spark implementation for PV-DBOW training algorithm
- * @author raver119@gmail.com
- */
 public class SparkDBOW extends SparkSkipGram {
     @Override
     public String getCodeName() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDM.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDM.java
index b2c9e5035..4b07547b5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDM.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/learning/sequence/SparkDM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.learning.sequence;
 
@@ -32,10 +36,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Spark implementation for PV-DM training algorithm
- * @author raver119@gmail.com
- */
 public class SparkDM extends SparkCBOW {
     @Override
     public String getCodeName() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/primitives/ExtraCounter.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/primitives/ExtraCounter.java
index 4b238b95f..498f30cef 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/primitives/ExtraCounter.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/sequencevectors/primitives/ExtraCounter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.primitives;
 
@@ -28,12 +32,6 @@ import java.util.HashSet;
 import java.util.List;
 import java.util.Set;
 
-/**
- * This class serves as Counter for SparkSequenceVectors vocab creation + for distributed parameters server organization
- * Ip addresses extracted here will be used for ParamServer shards selection, and won't be used for anything else
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 public class ExtraCounter extends Counter {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/word2vec/SparkWord2Vec.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/word2vec/SparkWord2Vec.java
index bf6ad1cfd..2fe86e684 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/word2vec/SparkWord2Vec.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/main/java/org/deeplearning4j/spark/models/word2vec/SparkWord2Vec.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.word2vec;
 
@@ -36,9 +40,6 @@ import org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFac
 import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
 import org.nd4j.parameterserver.distributed.conf.VoidConfiguration;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SparkWord2Vec extends SparkSequenceVectors {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectorsTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectorsTest.java
index 0a6e5bd73..dc311bba6 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectorsTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/SparkSequenceVectorsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors;
 
@@ -39,9 +43,6 @@ import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class SparkSequenceVectorsTest extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainerTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainerTest.java
index 604181109..3b7e7865f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainerTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/sequencevectors/export/ExportContainerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.sequencevectors.export;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class ExportContainerTest extends BaseDL4JTest {
     @Before
     public void setUp() throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/word2vec/SparkWord2VecTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/word2vec/SparkWord2VecTest.java
index a7bdfd45b..c981c7a31 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/word2vec/SparkWord2VecTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/java/org/deeplearning4j/spark/models/word2vec/SparkWord2VecTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.word2vec;
 
@@ -42,11 +46,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-/**
- * Tests for new Spark Word2Vec implementation
- *
- * @author raver119@gmail.com
- */
 public class SparkWord2VecTest extends BaseDL4JTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/log4j.properties b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/log4j.properties
index 5d1edb39f..e0dc1ce63 100755
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/log4j.properties
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 log4j.rootLogger=ERROR, Console
 log4j.appender.Console=org.apache.log4j.ConsoleAppender
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/logback.xml
index 4d94f2516..aef9b5e2e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp-java8/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/pom.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/pom.xml
index ffd7a4b0f..d63d1e8b4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/pom.xml
@@ -1,33 +1,41 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        spark_2.11
         org.deeplearning4j
+        spark_2.11
         1.0.0-SNAPSHOT
     
-    4.0.0
+
     dl4j-spark-nlp_2.11
-    jar
 
     dl4j-spark-nlp
 
     
-        UTF-8
         3.4.2
     
 
@@ -45,27 +53,23 @@
         
             junit
             junit
-            test
         
         
             org.datavec
             datavec-spark_2.11
             ${datavec.version}
         
-
         
             org.apache.spark
             spark-core_2.11
             ${spark.version}
             provided
         
-
         
             com.fasterxml.jackson.module
             jackson-module-scala_2.11
             2.6.7.1
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -82,5 +86,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/FirstIterationFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/FirstIterationFunction.java
index e13223749..d8e6f235d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/FirstIterationFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/FirstIterationFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -29,10 +33,6 @@ import java.util.*;
 import java.util.Map.Entry;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author jeffreytang
- * @author raver119@gmail.com
- */
 public class FirstIterationFunction implements
         FlatMapFunction, Long>>, Entry> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/MapToPairFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/MapToPairFunction.java
index 8b3b679f0..ccd8f7b0f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/MapToPairFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/MapToPairFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/NegativeHolder.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/NegativeHolder.java
index 7f1b682ab..5b788562b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/NegativeHolder.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/NegativeHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.io.Serializable;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- *
- * Simple singleton holder class for w2v negative sampling, to avoid syn1Neg creation for each spark node
- *
- * @author raver119@gmail.com
- */
 public class NegativeHolder implements Serializable {
     private static NegativeHolder ourInstance = new NegativeHolder();
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SecondIterationFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SecondIterationFunction.java
index 4b3a7ee8a..205d54ae0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SecondIterationFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SecondIterationFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -32,10 +36,6 @@ import java.util.Map;
 import java.util.Map.Entry;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author jeffreytang
- * @author raver119@gmail.com
- */
 public class SecondIterationFunction implements FlatMapFunction, Long>>, Entry> {
 
     private int ithIteration = 1;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SentenceBatch.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SentenceBatch.java
index f9ecbfc98..66b9299f4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SentenceBatch.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/SentenceBatch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/VocabHolder.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/VocabHolder.java
index 36354665c..1a983c68d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/VocabHolder.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/VocabHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -30,10 +34,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class VocabHolder implements Serializable {
     private static VocabHolder ourInstance = new VocabHolder();
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2Vec.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2Vec.java
index 627877eca..b5146f74d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2Vec.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2Vec.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -50,12 +54,6 @@ import java.util.Map;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Spark version of word2vec
- *
- * @author Adam Gibson
- * @author raver119@gmail.com
- */
 public class Word2Vec extends WordVectorsImpl implements Serializable {
 
     private INDArray trainedSyn1;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecChange.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecChange.java
index c197159b1..5ce201f0c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecChange.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecChange.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecFuncCall.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecFuncCall.java
index 7059673eb..b7a41ea58 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecFuncCall.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecFuncCall.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -22,11 +26,6 @@ import org.deeplearning4j.models.word2vec.VocabWord;
 import java.io.Serializable;
 import java.util.List;
 
-/**
- * Map operation for word2vec
- *
- * @author dAdam Gibson
- */
 @Deprecated
 public class Word2VecFuncCall implements Serializable {
     private Broadcast param;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecParam.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecParam.java
index 9a88a9e14..1e7f81133 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecParam.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecParam.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformer.java
index 79fc7aba0..3b65a353d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -34,11 +38,6 @@ import java.io.DataInputStream;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Base line word 2 vec performer
- *
- * @author Adam Gibson
- */
 @Deprecated
 public class Word2VecPerformer implements VoidFunction, AtomicLong>> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformerVoid.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformerVoid.java
index 47fc41722..7bb7c44d8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformerVoid.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecPerformerVoid.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -34,11 +38,6 @@ import java.io.DataInputStream;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Base line word 2 vec performer
- *
- * @author Adam Gibson
- */
 @Deprecated
 public class Word2VecPerformerVoid implements VoidFunction, AtomicLong>> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecSetup.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecSetup.java
index f7d18f1d3..677fb3738 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecSetup.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecSetup.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -23,11 +27,6 @@ import scala.Tuple2;
 
 import java.util.List;
 
-/**
- * Set up word2vec to run an iteration
- *
- * @author Adam Gibson
- */
 @Deprecated
 public class Word2VecSetup implements Function, Long>, Word2VecFuncCall> {
     private Broadcast param;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecVariables.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecVariables.java
index 227be43cb..6adcc7d1f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecVariables.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecVariables.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/MaxPerPartitionAccumulator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/MaxPerPartitionAccumulator.java
index b090cc0b3..659fc1a41 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/MaxPerPartitionAccumulator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/MaxPerPartitionAccumulator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.accumulators;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/WordFreqAccumulator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/WordFreqAccumulator.java
index 70fd4c545..4d5de1b61 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/WordFreqAccumulator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/accumulators/WordFreqAccumulator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.accumulators;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/CountCumSum.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/CountCumSum.java
index 8a04afc2d..14f4c0899 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/CountCumSum.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/CountCumSum.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldBetweenPartitionFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldBetweenPartitionFunction.java
index 14a10f443..f332c1f92 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldBetweenPartitionFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldBetweenPartitionFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldWithinPartitionFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldWithinPartitionFunction.java
index c2638ebd0..0730eb34b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldWithinPartitionFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/FoldWithinPartitionFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/GetSentenceCountFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/GetSentenceCountFunction.java
index 69f1f84e6..e6b2c239d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/GetSentenceCountFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/GetSentenceCountFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/MapPerPartitionVoidFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/MapPerPartitionVoidFunction.java
index a55cef073..87eb55ada 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/MapPerPartitionVoidFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/MapPerPartitionVoidFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/ReduceSentenceCount.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/ReduceSentenceCount.java
index 3a40ad2f9..34dbb5538 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/ReduceSentenceCount.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/ReduceSentenceCount.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TextPipeline.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TextPipeline.java
index 534c65353..4d7a957a5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TextPipeline.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TextPipeline.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
@@ -36,12 +40,6 @@ import java.util.Map;
 import java.util.Map.Entry;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * A spark based text pipeline
- * with minimum word frequency and stop words
- *
- * @author Adam Gibson
- */
 @SuppressWarnings("unchecked")
 public class TextPipeline {
     //params
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TokenizerFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TokenizerFunction.java
index 5049619ee..75b855695 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TokenizerFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/TokenizerFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
@@ -27,10 +31,6 @@ import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Tokenizer function
- * @author Adam Gibson
- */
 @SuppressWarnings("unchecked")
 @Slf4j
 public class TokenizerFunction implements Function> {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/UpdateWordFreqAccumulatorFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/UpdateWordFreqAccumulatorFunction.java
index 30decf5a0..e8340803e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/UpdateWordFreqAccumulatorFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/UpdateWordFreqAccumulatorFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/WordsListToVocabWordsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/WordsListToVocabWordsFunction.java
index 2fa3bd65d..c20c498e0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/WordsListToVocabWordsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/main/java/org/deeplearning4j/spark/text/functions/WordsListToVocabWordsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text.functions;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecTest.java
index b66d79956..78b176537 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/models/embeddings/word2vec/Word2VecTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.models.embeddings.word2vec;
 
@@ -42,11 +46,6 @@ import java.util.Collection;
 
 import static org.junit.Assert.*;
 
-/**
- * This test is for LEGACY w2v implementation
- *
- * @author jeffreytang
- */
 @Ignore
 public class Word2VecTest {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/BaseSparkTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/BaseSparkTest.java
index af39a474c..9282a8a82 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/BaseSparkTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/BaseSparkTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text;
 
@@ -28,9 +32,6 @@ import java.lang.reflect.Field;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * Created by agibsonccc on 1/23/15.
- */
 public abstract class BaseSparkTest extends BaseDL4JTest implements Serializable {
     protected transient JavaSparkContext sc;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TestFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TestFunction.java
index 9ca3c9445..618bf0ac7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TestFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TestFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text;
 
@@ -20,9 +24,6 @@ import org.apache.spark.api.java.function.Function;
 
 import java.util.List;
 
-/**
- * Created by jeffreytang on 8/14/15.
- */
 public class TestFunction implements Function {
     public TestFunction(List lst) {
         this.lst = lst;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TextPipelineTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TextPipelineTest.java
index c2e334761..0e96be80c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TextPipelineTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/java/org/deeplearning4j/spark/text/TextPipelineTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.text;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/log4j.properties b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/log4j.properties
index 5d1edb39f..e0dc1ce63 100755
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/log4j.properties
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 log4j.rootLogger=ERROR, Console
 log4j.appender.Console=org.apache.log4j.ConsoleAppender
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/logback.xml
index 4d94f2516..aef9b5e2e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-nlp/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/pom.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/pom.xml
index 53297cb13..4136e2a92 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/pom.xml
@@ -1,35 +1,44 @@
-
+
+
+
+
 
-
-    
-        spark_2.11
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        spark_2.11
+        1.0.0-SNAPSHOT
+    
+
     dl4j-spark-parameterserver_2.11
-    jar
 
     dl4j-spark-parameterserver
 
     
-        UTF-8
+        2.2.1
+        1.8
+        1.8
     
 
     
@@ -65,14 +74,12 @@
             deeplearning4j-parallel-wrapper
             ${nd4j.version}
         
-
         
             org.apache.spark
             spark-core_2.11
             ${spark.version}
             provided
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -89,21 +96,4 @@
             test-nd4j-cuda-11.0
         
     
-
-
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
-
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerSubscriber.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerSubscriber.java
index bf9bfefc3..08db1a386 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerSubscriber.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerSubscriber.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver;
 
-/**
- * Created by agibsonccc on 9/27/16.
- */
 public class ParameterServerSubscriber {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerTrainingHook.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerTrainingHook.java
index 0bd842dfc..402560c73 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerTrainingHook.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/ParameterServerTrainingHook.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunction.java
index 2606eeed8..a1bc43c6c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.accumulation;
 
@@ -28,9 +32,6 @@ import java.util.Collection;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 public class SharedTrainingAccumulationFunction implements
                 Function2 {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationTuple.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationTuple.java
index 385ef9a65..4fa9d77ce 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationTuple.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationTuple.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.accumulation;
 
@@ -30,9 +34,6 @@ import java.io.Serializable;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 @AllArgsConstructor
 @Data
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunction.java
index 9d9dd77f6..356be12b2 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.accumulation;
 
@@ -29,9 +33,6 @@ import java.util.Collection;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 public class SharedTrainingAggregateFunction implements
                 Function2 {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/DataSetDeserializationCallback.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/DataSetDeserializationCallback.java
index c00a842d0..ae4c7bdd5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/DataSetDeserializationCallback.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/DataSetDeserializationCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.callbacks;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.DataInputStream;
 
-/**
- * @author raver119@gmail.com
- */
 public class DataSetDeserializationCallback implements PortableDataStreamCallback {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/MultiDataSetDeserializationCallback.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/MultiDataSetDeserializationCallback.java
index 72c5e4642..e82b7b755 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/MultiDataSetDeserializationCallback.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/MultiDataSetDeserializationCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.callbacks;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.dataset.MultiDataSet;
 
 import java.io.DataInputStream;
 
-/**
- * @author raver119@gmail.com
- */
 public class MultiDataSetDeserializationCallback implements PortableDataStreamMDSCallback {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamCallback.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamCallback.java
index d0f14da5a..97b51ac06 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamCallback.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamCallback.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.callbacks;
 
 import org.apache.spark.input.PortableDataStream;
 import org.nd4j.linalg.dataset.DataSet;
 
-/**
- * @author raver119@gmail.com
- */
 public interface PortableDataStreamCallback {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamMDSCallback.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamMDSCallback.java
index c534b3361..4df33863a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamMDSCallback.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/callbacks/PortableDataStreamMDSCallback.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.callbacks;
 
 import org.apache.spark.input.PortableDataStream;
 import org.nd4j.linalg.dataset.MultiDataSet;
 
-/**
- * @author raver119@gmail.com
- */
 public interface PortableDataStreamMDSCallback {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/conf/SharedTrainingConfiguration.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/conf/SharedTrainingConfiguration.java
index 70adcfb59..d179a269c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/conf/SharedTrainingConfiguration.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/conf/SharedTrainingConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.conf;
 
@@ -25,10 +29,6 @@ import org.nd4j.parameterserver.distributed.conf.VoidConfiguration;
 
 import java.io.Serializable;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapDataSet.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapDataSet.java
index 900f0e63b..eb1924c09 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapDataSet.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapDataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.functions;
 
@@ -27,10 +31,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- * @author raver119@gmail.com
- */
-
 public class SharedFlatMapDataSet implements FlatMapFunction, R> {
 
     private final SharedTrainingWorker worker;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapMultiDataSet.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapMultiDataSet.java
index 5ce338b0f..5d5672a5b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapMultiDataSet.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapMultiDataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.functions;
 
@@ -27,9 +31,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- * Created by raver119 on 13.06.17.
- */
 public class SharedFlatMapMultiDataSet implements FlatMapFunction, R> {
 
     private final SharedTrainingWorker worker;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPaths.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPaths.java
index 70f1cf1c1..270d2d8ee 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPaths.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPaths.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.functions;
 
@@ -34,10 +38,6 @@ import java.nio.file.Files;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class SharedFlatMapPaths implements FlatMapFunction, R> {
 
     public static File toTempFile(Iterator dataSetIterator) throws IOException {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPathsMDS.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPathsMDS.java
index 881b5e08f..9a9454128 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPathsMDS.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/functions/SharedFlatMapPathsMDS.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.functions;
 
@@ -33,9 +37,6 @@ import java.io.FileReader;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- * @author raver119@gmail.com
- */
 public class SharedFlatMapPathsMDS implements FlatMapFunction, R> {
 
     protected final SharedTrainingWorker worker;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/MultiPdsIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/MultiPdsIterator.java
index 1dcbc1ab3..feab94776 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/MultiPdsIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/MultiPdsIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import java.util.Iterator;
 import java.util.function.Consumer;
 
-/**
- * @author raver119@gmail.com
- */
 public class MultiPdsIterator implements Iterator {
     protected final Iterator iterator;
     protected final PortableDataStreamMDSCallback callback;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/PdsIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/PdsIterator.java
index 32c355001..f8841831c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/PdsIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/PdsIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.util.Iterator;
 import java.util.function.Consumer;
 
-/**
- * @author raver119@gmail.com
- */
 public class PdsIterator implements Iterator {
     protected final Iterator iterator;
     protected final PortableDataStreamCallback callback;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIterator.java
index d6759b40b..002602acc 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -25,12 +29,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This DataSetIterator implementation does accumulation of DataSets from different Spark executors, wrt Thread/Device Affinity
- *
- *
- * @author raver119@gmail.com
- */
 public class VirtualDataSetIterator implements DataSetIterator {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIterator.java
index 812bbfe15..9419e4d82 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -24,11 +28,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.locks.LockSupport;
 import java.util.function.Consumer;
 
-/**
- * This class is thin wrapper, to provide block-until-depleted functionality in multi-threaded environment
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class VirtualIterator extends java.util.Observable implements Iterator {
     // TODO: use AsyncIterator here?
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualMultiDataSetIterator.java
index a3c3b43a8..55cd5625a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -25,11 +29,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * This MultiDataSetIterator implementation does accumulation of MultiDataSets from different Spark executors, wrt Thread/Device Affinity
- *
- * @author raver119@gmail.com
- */
 public class VirtualMultiDataSetIterator implements ParallelMultiDataSetIterator {
 
     protected final List> iterators;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/ElephasModelImport.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/ElephasModelImport.java
index 6ca207cc7..43e2401f1 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/ElephasModelImport.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/ElephasModelImport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.modelimport.elephas;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/SilentTrainingDriver.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/SilentTrainingDriver.java
index e2f7d6a06..64d83910f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/SilentTrainingDriver.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/SilentTrainingDriver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v1;
 
@@ -40,11 +44,6 @@ import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This TrainingDriver implementation is suited ONLY for Spark Master, and handles application & redistribution of incoming encoded messages across distributed network
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class SilentTrainingDriver implements TrainingDriver {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/WiredEncodingHandler.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/WiredEncodingHandler.java
index c2fc97658..2ae4767af 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/WiredEncodingHandler.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/WiredEncodingHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v1;
 
@@ -28,12 +32,6 @@ import org.nd4j.parameterserver.distributed.VoidParameterServer;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This MessageHandler implementation does the same as EncodingHandler, plus additionally:
- * sends encoded messages over the wire + receives encoded messages from outer parties
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class WiredEncodingHandler extends EncodingHandler {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryConfirmation.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryConfirmation.java
index 84ac2b384..09f398eb9 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryConfirmation.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryConfirmation.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v1.messages;
 
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 
-/**
- * @author raver119@gmail.com
- */
 public class SilentIntroductoryConfirmation extends BaseVoidMessage {
     @Override
     public void processMessage() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryMessage.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryMessage.java
index c1eeac1fd..4631bb141 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryMessage.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentIntroductoryMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v1.messages;
 
@@ -21,9 +25,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SilentIntroductoryMessage extends BaseVoidMessage implements DistributedMessage {
     protected String localIp;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentUpdatesMessage.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentUpdatesMessage.java
index ebe35e457..94b4fb766 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentUpdatesMessage.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v1/messages/SilentUpdatesMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v1.messages;
 
@@ -29,9 +33,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SilentUpdatesMessage extends BaseVoidMessage implements TrainingMessage, RequestMessage {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/ModelParamsConsumer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/ModelParamsConsumer.java
index f633bf0ad..49e07c5e8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/ModelParamsConsumer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/ModelParamsConsumer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v2;
 
@@ -24,11 +28,6 @@ import org.nd4j.common.primitives.Atomic;
 import org.reactivestreams.Subscriber;
 import org.reactivestreams.Subscription;
 
-/**
- * This consumer is responsible for storing model parameters received from network
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ModelParamsConsumer implements Subscriber, Supplier {
     protected transient final Atomic params = new Atomic<>();
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdaterParamsConsumer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdaterParamsConsumer.java
index d812b7b05..a2f074cba 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdaterParamsConsumer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdaterParamsConsumer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v2;
 
@@ -23,11 +27,6 @@ import org.nd4j.common.primitives.Atomic;
 import org.reactivestreams.Subscriber;
 import org.reactivestreams.Subscription;
 
-/**
- * This consumer is responsible for storing updater parameters received from network
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class UpdaterParamsConsumer implements Subscriber, Supplier {
     protected transient final Atomic params = new Atomic<>();
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdatesConsumer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdatesConsumer.java
index d3a406ea8..22b358e41 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdatesConsumer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/UpdatesConsumer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v2;
 
@@ -41,11 +45,6 @@ import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- *  This Subscriber is responsible for gradient updates application
- *
- * @author raver119@gmail.com
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Builder
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/WiredEncodingHandler.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/WiredEncodingHandler.java
index 130526658..2f65919f0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/WiredEncodingHandler.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/networking/v2/WiredEncodingHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.networking.v2;
 
@@ -29,12 +33,6 @@ import org.nd4j.parameterserver.distributed.v2.ModelParameterServer;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This MessageHandler implementation does the same as EncodingHandler, plus additionally:
- * sends encoded messages over the wire + receives encoded messages from outer parties
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class WiredEncodingHandler extends EncodingHandler {
     protected AtomicLong updatesCounter = new AtomicLong(0);
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/pw/SharedTrainingWrapper.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/pw/SharedTrainingWrapper.java
index 0b92ffe56..f3f2cee80 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/pw/SharedTrainingWrapper.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/pw/SharedTrainingWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.pw;
 
@@ -66,12 +70,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This class maintains ParallelWrapper instance in Spark environment, and provides primitives for inter-executor
- * communication during training over partitions.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SharedTrainingWrapper {
     private static SharedTrainingWrapper INSTANCE = new SharedTrainingWrapper();
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/ArrayDescriptor.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/ArrayDescriptor.java
index 4819684e9..f0abb2efa 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/ArrayDescriptor.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/ArrayDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.python;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/DataSetDescriptor.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/DataSetDescriptor.java
index 7dec493cf..66de004e5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/DataSetDescriptor.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/DataSetDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.python;
 import org.nd4j.linalg.api.ndarray.INDArray;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/Utils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/Utils.java
index ed3ee48e5..ef90e6181 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/Utils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/python/Utils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.python;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingMaster.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingMaster.java
index f90bbdcf6..58d922ff4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingMaster.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingMaster.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.training;
 
@@ -85,15 +89,6 @@ import java.util.*;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * SharedTrainingMaster implements distributed training of neural networks using a compressed quantized gradient (update)
- * sharing implementation based on the Strom 2015 paper "Scalable Distributed DNN Training Using Commodity GPU Cloud Computing":
- * https://s3-us-west-2.amazonaws.com/amazon.jobs-public-documents/strom_interspeech2015.pdf.
- * The Deeplearning4j implementation makes a number of modifications, such as having the option to use a parameter-server
- * based implementation for fault tolerance and execution where multicast networking support is not available.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Data
 public class SharedTrainingMaster extends BaseTrainingMaster
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingResult.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingResult.java
index dc0cf5867..7fb974001 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingResult.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingResult.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.training;
 
@@ -32,9 +36,6 @@ import java.io.Serializable;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @AllArgsConstructor
 @Builder
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingWorker.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingWorker.java
index 0a3b78bb2..f64660ed5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingWorker.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/training/SharedTrainingWorker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.training;
 
@@ -38,9 +42,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @Getter
 public class SharedTrainingWorker extends BaseTrainingWorker
                 implements TrainingWorker {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/BlockingObserver.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/BlockingObserver.java
index 642fc1e8b..02be4f0a7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/BlockingObserver.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/BlockingObserver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.util;
 
@@ -23,9 +27,6 @@ import java.util.Observable;
 import java.util.Observer;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Data
 public class BlockingObserver implements Observer {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/CountingIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/CountingIterator.java
index f23873a82..1b494b46a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/CountingIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/main/java/org/deeplearning4j/spark/parameterserver/util/CountingIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.util;
 
@@ -21,12 +25,6 @@ import lombok.AllArgsConstructor;
 import java.util.Iterator;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * A simple iterator that adds 1 to the specified counter every time next() is called
- *
- * @param  Type of iterator
- * @author Alex Black
- */
 @AllArgsConstructor
 public class CountingIterator implements Iterator {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/BaseSparkTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/BaseSparkTest.java
index 9a28fe351..4727378cc 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/BaseSparkTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/BaseSparkTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver;
 
@@ -39,9 +43,6 @@ import java.util.List;
 import java.util.Random;
 
 
-/**
- * Created by agibsonccc on 1/23/15.
- */
 public abstract class BaseSparkTest extends BaseDL4JTest implements Serializable {
     protected transient JavaSparkContext sc;
     protected transient INDArray labels;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunctionTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunctionTest.java
index c3a7674f4..758d38657 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunctionTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAccumulationFunctionTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.accumulation;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class SharedTrainingAccumulationFunctionTest {
     @Before
     public void setUp() throws Exception {}
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunctionTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunctionTest.java
index b363e5c5b..35cfd9b6c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunctionTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/accumulation/SharedTrainingAggregateFunctionTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.accumulation;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class SharedTrainingAggregateFunctionTest {
     @Before
     public void setUp() throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIteratorTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIteratorTest.java
index 7903b75e9..f3f6c1bcd 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualDataSetIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -28,9 +32,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class VirtualDataSetIteratorTest {
     @Before
     public void setUp() throws Exception {}
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIteratorTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIteratorTest.java
index 0f2b8f4e5..98d39f656 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/iterators/VirtualIteratorTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.iterators;
 
@@ -24,9 +28,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class VirtualIteratorTest {
     @Before
     public void setUp() throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/TestElephasImport.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/TestElephasImport.java
index e7a4d08a3..95a3481ea 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/TestElephasImport.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/modelimport/elephas/TestElephasImport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.modelimport.elephas;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/train/GradientSharingTrainingTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/train/GradientSharingTrainingTest.java
index c1eff1dce..d98a9561a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/train/GradientSharingTrainingTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/java/org/deeplearning4j/spark/parameterserver/train/GradientSharingTrainingTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.parameterserver.train;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/log4j.properties b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/log4j.properties
index 4bee14770..64c5034c9 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/log4j.properties
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 log4j.rootLogger=ERROR, Console
 log4j.appender.Console=org.apache.log4j.ConsoleAppender
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/logback.xml
index 9605642db..c269334de 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/pom.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/pom.xml
index 9b399fa22..75d8579fc 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/pom.xml
@@ -1,37 +1,40 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        spark_2.11
         org.deeplearning4j
+        spark_2.11
         1.0.0-SNAPSHOT
     
-    4.0.0
+
     dl4j-spark_2.11
-    jar
 
     dl4j-spark
 
-
-    
-        UTF-8
-        UTF-8
-    
-
     
         
         
@@ -39,32 +42,27 @@
             deeplearning4j-core
             ${deeplearning4j.version}
         
-
         
             org.datavec
             datavec-spark_2.11
             ${datavec.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-ui-components
             ${deeplearning4j.version}
         
-
         
         
             junit
             junit
-            test
         
-
         
             ch.qos.logback
-            logback-classic    
+            logback-classic
+            
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-ui
@@ -77,21 +75,18 @@
                 
             
         
-
         
             org.nd4j
             nd4j-kryo_2.11
             ${nd4j.version}
             test
         
-
         
             org.apache.spark
             spark-core_2.11
             ${spark.version}
             provided
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -108,5 +103,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RDDTrainingApproach.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RDDTrainingApproach.java
index d01729230..cfe35dd87 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RDDTrainingApproach.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RDDTrainingApproach.java
@@ -1,30 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
-/**
- * Approach to use when training from a {@code JavaRDD} or {@code JavaRDD}.
- *
- * Export: first export the RDD to disk (temporary directory) and train from that.
- * Direct: aka 'legacy mode': train directly from the RDD. This has higher memory requirements and lower performance
- *  compared to the Export approach. It does not export the data to disk first, hence uses less space.
- *
- * @author Alex Black
- */
 public enum RDDTrainingApproach {
     Export, Direct
 }
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartition.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartition.java
index 6ea666882..62b877435 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartition.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartition.java
@@ -1,32 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
-/**
- * Enumeration that is used for specifying the behaviour of repartitioning in {@link org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster}
- * (and possibly elsewhere.
- *
- * "Never" and "Always" repartition options are as expected; the "NumPartitionsWorkersDiffers" will repartition data if and only
- * if the number of partitions is not equal to the number of workers (total cores). Note however that even if the number of partitions
- * and number of workers differ, this does not guarantee that those partitions are balanced (in terms of number of
- * elements) in any way.
- *
- * @author Alex Black
- */
 public enum Repartition {
     Never, Always, NumPartitionsWorkersDiffers
 }
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RepartitionStrategy.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RepartitionStrategy.java
index 38ab87f53..ff9c4a70e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RepartitionStrategy.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/RepartitionStrategy.java
@@ -1,33 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
-/**
- * RepartitionStrategy: different strategies for conducting repartitioning on training data, when repartitioning is required.

- * SparkDefault: repartition using Spark's standard {@code RDD.repartition(int)} method. This results in each value being
- * randomly mapped to a new partition. This results in approximately equal partitions, though random sampling issues can
- * be problematic when the number of elements in a RDD is small

- * Balanced: a custom repartitioning strategy that attempts to ensure that each partition ends up with the correct number
- * of elements. It has a slightly higher overhead (need to count the number of values in each partition) but should be less
- * prone to random sampling variance than the SparkDefault strategy
- *
- *
- * @author Alex Black
- */
 public enum RepartitionStrategy {
     SparkDefault, Balanced, ApproximateBalanced
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartitioner.java
index cff9a2fa5..b53ed74d6 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/Repartitioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
@@ -20,12 +24,6 @@ import org.apache.spark.api.java.JavaRDD;
 
 import java.io.Serializable;
 
-/**
- * Repartitioner interface: controls how data should be repartitioned before training.
- * Currently used only in SharedTrainingMaster
- *
- * @author Alex Black
- */
 public interface Repartitioner extends Serializable {
 
      JavaRDD repartition(JavaRDD input, int minObjectsPerPartition, int numExecutors);
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingHook.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingHook.java
index 4a90bb2bb..8ea9738db 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingHook.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingHook.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
@@ -22,16 +26,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 
 import java.io.Serializable;
 
-/**
- * A hook for the workers when training.
- * A pre update and post update method are specified
- * for when certain information needs to be collected
- * or there needs to be specific parameters
- * or models sent to remote locations for visualization
- * or other things.
- *
- * @author Adam Gibson
- */
 public interface TrainingHook extends Serializable {
     /**
      * A hook method for pre update.
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingMaster.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingMaster.java
index 270fca8e5..12441db94 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingMaster.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingMaster.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
@@ -31,14 +35,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 
 import java.util.Collection;
 
-/**
- * A TrainingMaster controls how distributed training is executed in practice

- * In principle, a large number of different approches can be used in distributed training (synchronous vs. asynchronous,
- * parameter vs. gradient averaging, etc). Each of these different approaches would be implemented as a TrainingMaster;
- * this allows {@link SparkDl4jMultiLayer} and {@link SparkComputationGraph} to be used with different training methods.
- *
- * @author Alex Black
- */
 public interface TrainingMaster> {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingResult.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingResult.java
index 2cf2f6e4a..42bb29261 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingResult.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingResult.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
 import org.deeplearning4j.spark.api.stats.SparkTrainingStats;
 
-/**
- * TrainingResult: a class used by {@link TrainingMaster} implementations
- *
- * Each TrainingMaster will have its own type of training result.
- *
- * @author Alex Black
- */
 public interface TrainingResult {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingWorker.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingWorker.java
index db0c0b3f0..70b2d4826 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingWorker.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/TrainingWorker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
@@ -25,15 +29,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.io.Serializable;
 
-/**
- * TrainingWorker is a small serializable class that can be passed (in serialized form) to each Spark executor
- * for actually conducting training. The results are then passed back to the {@link TrainingMaster} for processing.

- * 

- * TrainingWorker implementations provide a layer of abstraction for network learning tha should allow for more flexibility/
- * control over how learning is conducted (including for example asynchronous communication)
- *
- * @author Alex Black
- */
 public interface TrainingWorker extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/WorkerConfiguration.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/WorkerConfiguration.java
index e39237e7a..8836ec26c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/WorkerConfiguration.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/WorkerConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api;
 
@@ -21,11 +25,6 @@ import lombok.Data;
 
 import java.io.Serializable;
 
-/**
- * A simple configuration object (common settings for workers)
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class WorkerConfiguration implements Serializable {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/CommonSparkTrainingStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/CommonSparkTrainingStats.java
index b86ea1255..e1355b40f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/CommonSparkTrainingStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/CommonSparkTrainingStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.stats;
 
@@ -25,11 +29,6 @@ import org.deeplearning4j.spark.stats.StatsUtils;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * A {@link SparkTrainingStats} implementation for common stats functionality used by most workers
- *
- * @author Alex Black
- */
 @Data
 public class CommonSparkTrainingStats implements SparkTrainingStats {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/SparkTrainingStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/SparkTrainingStats.java
index 1b75245cc..e45496cd9 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/SparkTrainingStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/SparkTrainingStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.stats;
 
@@ -26,21 +30,6 @@ import java.io.Serializable;
 import java.util.List;
 import java.util.Set;
 
-/**
- * SparkTrainingStats is an interface that is used for accessing training statistics, for multiple {@link org.deeplearning4j.spark.api.TrainingMaster}
- * implementations.
- * 

- * The idea is that for debugging purposes, we want to collect a number of statistics related to the training. However, these
- * statistics will vary, depending on which the type of training we are doing. Specifically, both the keys (number/names of stats)
- * and their actual values (types/classes) can vary.
- * 

- * The interface here operates essentially as a {@code Map}. Note however that SparkTrainingStats instances
- * may be nested: for example a {@link ParameterAveragingTrainingMasterStats} may have a
- * {@link CommonSparkTrainingStats} instance which may in turn have a {@link ParameterAveragingTrainingWorkerStats}
- * instance.
- *
- * @author Alex Black
- */
 public interface SparkTrainingStats extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/StatsCalculationHelper.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/StatsCalculationHelper.java
index 3476c5dd2..7e769cbb5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/StatsCalculationHelper.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/stats/StatsCalculationHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.stats;
 
@@ -27,11 +31,6 @@ import org.deeplearning4j.spark.time.TimeSourceProvider;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * A helper class for collecting stats in {@link ExecuteWorkerFlatMap} and {@link ExecuteWorkerMultiDataSetFlatMap}
- *
- * @author Alex Black
- */
 public class StatsCalculationHelper {
     private long methodStartTime;
     private long returnTime;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerFlatMap.java
index 519012272..6d52b8103 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -34,12 +38,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- * A FlatMapFunction for executing training on DataSets.
- * Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
- *
- * @author Alex Black
- */
 public class ExecuteWorkerFlatMap implements FlatMapFunction, R> {
 
     private final TrainingWorker worker;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerMultiDataSetFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerMultiDataSetFlatMap.java
index 2486034aa..a570dd436 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerMultiDataSetFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerMultiDataSetFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -34,11 +38,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- * A FlatMapFunction for executing training on MultiDataSets. Used only in SparkComputationGraph implementation.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class ExecuteWorkerMultiDataSetFlatMap implements FlatMapFunction, R> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSFlatMap.java
index 4969a055b..451ea203e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.util.Iterator;
 
-/**
- * A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded using a PortableDataStream
- * Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
- *
- * @author Alex Black
- */
 @Deprecated
 public class ExecuteWorkerPDSFlatMap implements FlatMapFunction, R> {
     private final FlatMapFunction, R> workerFlatMap;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSMDSFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSMDSFlatMap.java
index 63b82bdaa..49ab59cfe 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSMDSFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPDSMDSFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 
 import java.util.Iterator;
 
-/**
- * A FlatMapFunction for executing training on serialized MultiDataSet objects, that can be loaded using a PortableDataStream
- * Used for SparkComputationGraph implementations only
- *
- * @author Alex Black
- */
 @Deprecated
 public class ExecuteWorkerPDSMDSFlatMap implements FlatMapFunction, R> {
     private final FlatMapFunction, R> workerFlatMap;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathFlatMap.java
index eb41281af..5dcf6813f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -30,13 +34,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS)
- * that is specified as a String
- * Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
- *
- * @author Alex Black
- */
 public class ExecuteWorkerPathFlatMap implements FlatMapFunction, R> {
 
     private final FlatMapFunction, R> workerFlatMap;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathMDSFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathMDSFlatMap.java
index 9fe261af4..b012f3a0d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathMDSFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/ExecuteWorkerPathMDSFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -30,13 +34,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS)
- * that is specified as a String
- * Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
- *
- * @author Alex Black
- */
 public class ExecuteWorkerPathMDSFlatMap implements FlatMapFunction, R> {
     private final FlatMapFunction, R> workerFlatMap;
     private MultiDataSetLoader loader;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/NetBroadcastTuple.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/NetBroadcastTuple.java
index 9fc53eb0a..9fa317026 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/NetBroadcastTuple.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/api/worker/NetBroadcastTuple.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.api.worker;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.io.Serializable;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * A simple class for storing configurations, parameters and updaters in one class (so they can be broadcast together)
- *
- * @author Alex Black
- */
 @Data
 public class NetBroadcastTuple implements Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportDataSetsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportDataSetsFunction.java
index 7c32abe9e..ac9a0a256 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportDataSetsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportDataSetsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -31,19 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import java.net.URI;
 import java.util.*;
 
-/**
- * Function used with {@code RDD.mapPartitionsWithIndex}.
- * It does two things:
- * 1. Batch DataSets together, to the specified minibatch size. This may result in splitting or combining existing
- * DataSet objects as required
- * 2. Export the DataSet objects to the specified directory.
- * 

- * Naming convention for exported files:
- * "dataset_" + partitionIdx + JVM_UID + "_" + idx + ".bin"
- * where 'idx' is the index of the DataSet objects in this partition
- *
- * @author Alex Black
- */
 public class BatchAndExportDataSetsFunction implements Function2, Iterator> {
     private final int minibatchSize;
     private final String exportBaseDirectory;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportMultiDataSetsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportMultiDataSetsFunction.java
index 09541297f..b7e30b351 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportMultiDataSetsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchAndExportMultiDataSetsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -31,19 +35,6 @@ import org.nd4j.common.primitives.Pair;
 import java.net.URI;
 import java.util.*;
 
-/**
- * Function used with {@code RDD.mapPartitionsWithIndex}.
- * It does two things:
- * 1. Batch MultiDataSets together, to the specified minibatch size. This may result in splitting or combining existing
- * MultiDataSet objects as required
- * 2. Export the MultiDataSet objects to the specified directory.
- * 

- * Naming convention for exported files:
- * "mds_" + partitionIdx + JVM_UID + "_" + idx + ".bin"
- * where 'idx' is the index of the MultiDataSet objects in this partition
- *
- * @author Alex Black
- */
 public class BatchAndExportMultiDataSetsFunction
                 implements Function2, Iterator> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchDataSetsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchDataSetsFunction.java
index 9513193e4..4b05e63eb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchDataSetsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/BatchDataSetsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -24,20 +28,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Function used to batch DataSet objects together. Typically used to combine singe-example DataSet objects out of
- * something like {@link org.deeplearning4j.spark.datavec.DataVecDataSetFunction} together into minibatches.

- *
- * Usage:
- * 
- * {@code
- *      RDD mySingleExampleDataSets = ...;
- *      RDD batchData = mySingleExampleDataSets.mapPartitions(new BatchDataSetsFunction(batchSize));
- * }
- * 

- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class BatchDataSetsFunction implements FlatMapFunction, DataSet> {
     private final int minibatchSize;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetExportFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetExportFunction.java
index dd311e047..8009075e1 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetExportFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetExportFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -30,13 +34,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.net.URI;
 import java.util.Iterator;
 
-/**
- * A function (used in forEachPartition) to save DataSet objects to disk/HDFS. Each DataSet object is given a random and
- * (probably) unique name, starting with "dataset_" and ending  with ".bin".

- * Use with {@code JavaRDD.foreachPartition()}
- *
- * @author Alex Black
- */
 public class DataSetExportFunction implements VoidFunction> {
 
     private final URI outputDir;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetProvider.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetProvider.java
index 392d0d591..3aba24292 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetProvider.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/DataSetProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetExportFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetExportFunction.java
index 0ae008e76..31c29562f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetExportFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetExportFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -30,13 +34,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import java.net.URI;
 import java.util.Iterator;
 
-/**
- * A function (used in forEachPartition) to save MultiDataSet objects to disk/HDFS. Each MultiDataSet object is given a random and
- * (probably) unique name, starting with "mds_" and ending  with ".bin".

- * Use with {@code JavaRDD.foreachPartition()}
- *
- * @author Alex Black
- */
 public class MultiDataSetExportFunction implements VoidFunction> {
     private final URI outputDir;
     private final Broadcast conf;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetProvider.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetProvider.java
index 5607064c6..628d6d698 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetProvider.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/MultiDataSetProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToDataSetFunction.java
index 861a7547f..8b2cd43d7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -29,12 +33,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.io.IOException;
 import java.net.URI;
 
-/**
- * Simple function used to load DataSets (serialized with DataSet.save()) from a given Path (as a String)
- * to a DataSet object - i.e., {@code RDD} to {@code RDD}
- *
- * @author Alex Black
- */
 public class PathToDataSetFunction implements Function {
     public static final int BUFFER_SIZE = 4194304; //4 MB
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToMultiDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToMultiDataSetFunction.java
index eff41d9c0..e437a7da0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToMultiDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/PathToMultiDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -29,12 +33,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import java.io.IOException;
 import java.net.URI;
 
-/**
- * Simple function used to load MultiDataSets (serialized with MultiDataSet.save()) from a given Path (as a String)
- * to a MultiDataSet object - i.e., {@code RDD} to {@code RDD}
- *
- * @author Alex Black
- */
 public class PathToMultiDataSetFunction implements Function {
     public static final int BUFFER_SIZE = 4194304; //4 MB
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/SplitDataSetsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/SplitDataSetsFunction.java
index 026b65dd6..fdd65b661 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/SplitDataSetsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/SplitDataSetsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -23,19 +27,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Take an existing DataSet object, and split it into multiple DataSet objects with one example in each
- *
- * Usage:
- * 
- * {@code
- *      RDD myBatchedExampleDataSets = ...;
- *      RDD singleExamlpeDataSets = myBatchedExampleDataSets.mapPartitions(new SplitDataSets(batchSize));
- * }
- * 

- *
- * @author Alex Black
- */
 public class SplitDataSetsFunction implements FlatMapFunction, DataSet> {
     @Override
     public Iterator call(Iterator dataSetIterator) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSource.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSource.java
index 3e659fa21..d0573686e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSource.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data.loader;
 
@@ -25,11 +29,6 @@ import org.nd4j.common.loader.Source;
 import java.io.IOException;
 import java.io.InputStream;
 
-/**
- * Generate a {@link Source} from a Hadoop-compatible filesystem
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class RemoteFileSource implements Source {
     public static final int DEFAULT_BUFFER_SIZE = 4*1024*2014;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSourceFactory.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSourceFactory.java
index 5a99208b1..fe3e94cac 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSourceFactory.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/loader/RemoteFileSourceFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data.loader;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/shuffle/SplitDataSetExamplesPairFlatMapFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/shuffle/SplitDataSetExamplesPairFlatMapFunction.java
index 1ccf54b91..f6b12a1eb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/shuffle/SplitDataSetExamplesPairFlatMapFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/data/shuffle/SplitDataSetExamplesPairFlatMapFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data.shuffle;
 
@@ -27,14 +31,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.Random;
 
-/**
- * A PairFlatMapFunction that splits each example in a {@link DataSet} object into its own {@link DataSet}.
- * Also adds a random key (integer value) in the range 0 to maxKeyIndex-1.

- *
- * Used in {@link org.deeplearning4j.spark.util.SparkUtils#shuffleExamples(JavaRDD, int, int)}
- *
- * @author Alex Black
- */
 public class SplitDataSetExamplesPairFlatMapFunction implements PairFlatMapFunction {
 
     private transient Random r;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecByteDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecByteDataSetFunction.java
index 9627c82bd..f8413037b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecByteDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecByteDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecDataSetFunction.java
index bce687170..c2200aabb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -33,10 +37,6 @@ import org.nd4j.linalg.util.FeatureUtil;
 import java.io.Serializable;
 import java.util.List;
 
-/**Map {@code Collection} objects (out of a datavec-spark record reader function) to DataSet objects for Spark training.
- * Analogous to {@link RecordReaderDataSetIterator}, but in the context of Spark.
- * @author Alex Black
- */
 @Slf4j
 public class DataVecDataSetFunction implements Function, DataSet>, Serializable {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequenceDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequenceDataSetFunction.java
index 5eae48811..025a1f4c0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequenceDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequenceDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -32,13 +36,6 @@ import java.io.Serializable;
 import java.util.Iterator;
 import java.util.List;
 
-/**Map {@code Collection>} objects (out of a datavec-spark sequence record reader function) to
- *  DataSet objects for Spark training.
- * Analogous to {@link SequenceRecordReaderDataSetIterator}, but in the context of Spark.
- * Supports loading data from a single source only (hence no masknig arrays, many-to-one etc here)
- * see {@link DataVecSequencePairDataSetFunction} for the separate collections for input and labels version
- * @author Alex Black
- */
 public class DataVecSequenceDataSetFunction implements Function>, DataSet>, Serializable {
 
     private final boolean regression;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequencePairDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequencePairDataSetFunction.java
index ec7d94365..1ad5a7cfd 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequencePairDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/DataVecSequencePairDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -33,13 +37,6 @@ import java.io.Serializable;
 import java.util.Iterator;
 import java.util.List;
 
-/**Map {@code Tuple2>,Collection>} objects (out of a TWO datavec-spark
- *  sequence record reader functions) to  DataSet objects for Spark training.
- * Analogous to {@link SequenceRecordReaderDataSetIterator}, but in the context of Spark.
- * Supports loading data from a TWO sources only; hence supports many-to-one and one-to-many situations.
- * see {@link DataVecSequenceDataSetFunction} for the single file version
- * @author Alex Black
- */
 public class DataVecSequencePairDataSetFunction
                 implements Function>, List>>, DataSet>, Serializable {
     /**Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RDDMiniBatches.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RDDMiniBatches.java
index 653bbc75d..4c0da6832 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RDDMiniBatches.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RDDMiniBatches.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -26,10 +30,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * RDD mini batch partitioning
- * @author Adam Gibson
- */
 public class RDDMiniBatches implements Serializable {
     private int miniBatches;
     private JavaRDD toSplitJava;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RecordReaderFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RecordReaderFunction.java
index e120735a6..8d24bba6a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RecordReaderFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/RecordReaderFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -29,12 +33,6 @@ import org.nd4j.linalg.util.FeatureUtil;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Turn a string in to a dataset based on
- * a record reader
- *
- * @author Adam Gibson
- */
 public class RecordReaderFunction implements Function {
     private RecordReader recordReader;
     private int labelIndex = -1;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/export/StringToDataSetExportFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/export/StringToDataSetExportFunction.java
index 6558e78ea..9242ab798 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/export/StringToDataSetExportFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/export/StringToDataSetExportFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.export;
 
@@ -37,12 +41,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * A function (used in forEachPartition) to convert Strings to DataSet objects using a RecordReader (such as a CSVRecordReader).
- * Use with {@code JavaRDD.foreachPartition()}
- *
- * @author Alex Black
- */
 public class StringToDataSetExportFunction implements VoidFunction> {
 
     private final Broadcast conf;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecord.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecord.java
index da3a08e10..7fb70736b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecord.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecord.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecords.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecords.java
index 4cef35c7f..a950527e1 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecords.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/DataVecRecords.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/IteratorUtils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/IteratorUtils.java
index f031f28cf..b2a7592e8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/IteratorUtils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/IteratorUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
@@ -30,11 +34,6 @@ import scala.Tuple2;
 
 import java.util.*;
 
-/**
- * Utilities for working with RDDs and {@link RecordReaderMultiDataSetIterator}
- *
- * @author Alex Black
- */
 public class IteratorUtils {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/RRMDSIFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/RRMDSIFunction.java
index a2d990e01..1c3a47039 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/RRMDSIFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/RRMDSIFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummyReader.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummyReader.java
index 15820ec96..0f5519f35 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummyReader.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummyReader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
@@ -33,11 +37,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Dummy reader for use in {@link IteratorUtils}
- *
- * @author Alex Black
- */
 @Data
 public class SparkSourceDummyReader implements RecordReader, Serializable {
     private int readerIdx;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummySeqReader.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummySeqReader.java
index 3bfefcee0..54671ec37 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummySeqReader.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/datavec/iterator/SparkSourceDummySeqReader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/BaseSparkEarlyStoppingTrainer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/BaseSparkEarlyStoppingTrainer.java
index 9be054abb..5f1029131 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/BaseSparkEarlyStoppingTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/BaseSparkEarlyStoppingTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.earlystopping;
 
@@ -35,11 +39,6 @@ import java.io.IOException;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * Base/abstract class for conducting early stopping training via Spark, on a {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork}
- * or a {@link org.deeplearning4j.nn.graph.ComputationGraph}
- * @author Alex Black
- */
 public abstract class BaseSparkEarlyStoppingTrainer implements IEarlyStoppingTrainer {
 
     private static Logger log = LoggerFactory.getLogger(BaseSparkEarlyStoppingTrainer.class);
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkDataSetLossCalculator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkDataSetLossCalculator.java
index 3f41903b1..be71c408c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkDataSetLossCalculator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkDataSetLossCalculator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.earlystopping;
 
@@ -23,10 +27,6 @@ import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer;
 import org.nd4j.linalg.dataset.DataSet;
 
-/** Score calculator to calculate the total loss for the {@link MultiLayerNetwork} on that data set (data set
- * as a {@link JavaRDD}), using Spark.
- * Typically used to calculate the loss on a test set.
- */
 public class SparkDataSetLossCalculator implements ScoreCalculator {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingGraphTrainer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingGraphTrainer.java
index 1b8e8ae8f..efdab70aa 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingGraphTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingGraphTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.earlystopping;
 
@@ -29,11 +33,6 @@ import org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * Class for conducting early stopping training via Spark on a ComputationGraph
- *
- * @author Alex Black
- */
 public class SparkEarlyStoppingGraphTrainer extends BaseSparkEarlyStoppingTrainer {
 
     private SparkComputationGraph sparkNet;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingTrainer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingTrainer.java
index 111c4896d..3e61bd7cd 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingTrainer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkEarlyStoppingTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.earlystopping;
 
@@ -28,11 +32,6 @@ import org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * Class for conducting early stopping training via Spark on a {@link MultiLayerNetwork}
- *
- * @author Alex Black
- */
 public class SparkEarlyStoppingTrainer extends BaseSparkEarlyStoppingTrainer {
 
     private SparkDl4jMultiLayer sparkNet;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkLossCalculatorComputationGraph.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkLossCalculatorComputationGraph.java
index 3c906f619..be03c85af 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkLossCalculatorComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/earlystopping/SparkLossCalculatorComputationGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.earlystopping;
 
@@ -24,12 +28,6 @@ import org.deeplearning4j.spark.impl.graph.SparkComputationGraph;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * Score calculator to calculate the total loss for the {@link ComputationGraph} on that data set (data set
- * as a {@link JavaRDD}), using Spark.

- * Typically used to calculate the loss on a test set.

- * Note: to test a ComputationGraph on a {@link DataSet} use {@link org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn}
- */
 public class SparkLossCalculatorComputationGraph implements ScoreCalculator {
 
     private JavaRDD data;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/SparkListenable.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/SparkListenable.java
index 7ca79cdde..36011825d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/SparkListenable.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/SparkListenable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl;
 
@@ -31,7 +35,6 @@ import java.util.Arrays;
 import java.util.Collection;
 import java.util.List;
 
-/** Created by huitseeker on 2/15/17. */
 @Slf4j
 public class SparkListenable {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/Add.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/Add.java
index ccd6bfa6c..8ce9c31b8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/Add.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/Add.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/CountPartitionsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/CountPartitionsFunction.java
index 58543d5dc..2f14c04e7 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/CountPartitionsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/CountPartitionsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common;
 
@@ -24,12 +28,6 @@ import scala.Tuple2;
 import java.util.Collections;
 import java.util.Iterator;
 
-/**
- * This is a function use to count the number of elements in each partition.
- * It is used as part of {@link org.deeplearning4j.spark.util.SparkUtils#repartitionBalanceIfRequired(JavaRDD, Repartition, int, int)}
- *
- * @author Alex Black
- */
 public class CountPartitionsFunction implements Function2, Iterator>> {
     @Override
     public Iterator> call(Integer v1, Iterator v2) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/LoadDataSetFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/LoadDataSetFunction.java
index dd9073131..6e6795838 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/LoadDataSetFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/LoadDataSetFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.InputStream;
 
-/**
- * This is a function that is used to load a {@link DataSet} object using {@link DataSet#load(InputStream)}.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class LoadDataSetFunction implements Function {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction.java
index 7aa450e5f..65539fe60 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common;
 
@@ -21,16 +25,6 @@ import org.apache.spark.api.java.function.Function2;
 
 import java.util.*;
 
-/**
- * SplitPartitionsFunction is used to split a RDD (using {@link org.apache.spark.api.java.JavaRDD#mapPartitionsWithIndex(Function2, boolean)}
- * via filtering.

- * It is similar in design to {@link org.apache.spark.api.java.JavaRDD#randomSplit(double[])} however it is less prone to
- * producing imbalanced splits that method. Specifically, {@link org.apache.spark.api.java.JavaRDD#randomSplit(double[])}
- * splits each element individually (i.e., randomly determine a new split for each element at random), whereas this method
- * chooses one out of every numSplits objects per output split. Exactly which of these is done randomly.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class SplitPartitionsFunction implements Function2, Iterator> {
     private final int splitIndex;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction2.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction2.java
index 0e89698da..c565cdcd6 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction2.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/SplitPartitionsFunction2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common;
 
@@ -22,11 +26,6 @@ import scala.Tuple2;
 
 import java.util.*;
 
-/**
- * Equivelent to {@link SplitPartitionsFunction}, but for {@code JavaPairRDD}s
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class SplitPartitionsFunction2
                 implements Function2>, Iterator>> {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/IntDoubleReduceFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/IntDoubleReduceFunction.java
index 64cc9c4fe..558128f7c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/IntDoubleReduceFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/IntDoubleReduceFunction.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.reduce;
 
 import org.apache.spark.api.java.function.Function2;
 import scala.Tuple2;
 
-/**
- * Add both elements of a {@code Tuple2}
- */
 public class IntDoubleReduceFunction
                 implements Function2, Tuple2, Tuple2> {
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/LongDoubleReduceFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/LongDoubleReduceFunction.java
index 1092ff02b..4cbcc75f0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/LongDoubleReduceFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/reduce/LongDoubleReduceFunction.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.reduce;
 
 import org.apache.spark.api.java.function.Function2;
 import scala.Tuple2;
 
-/**
- * Add both elements of a {@code Tuple2}
- */
 public class LongDoubleReduceFunction
                 implements Function2, Tuple2, Tuple2> {
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitioner.java
index d61a2b092..0f26e52e4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.repartition;
 
@@ -21,16 +25,6 @@ import org.apache.spark.Partitioner;
 
 import java.util.Random;
 
-/**
- * This is a custom partitioner to repartition a RDD.
- * Unlike a standard .repartition() call (which assigns partitions like [2,3,4,1,2,3,4,1,2,...] for 4 partitions],
- * this function attempts to keep contiguous elements (i.e., those elements originally in the same partition) together
- * much more frequently. Furthermore, it is less prone to producing larger or smaller than expected partitions, as
- * it is entirely deterministic, whereas .repartition() has a degree of randomness (i.e., start index) which can result in
- * a large degree of variance when the number of elements in the original partitions is small (as is the case generally in DL4J)
- *
- * @author Alex Black
- */
 @Slf4j
 public class BalancedPartitioner extends Partitioner {
     private final int numPartitions; //Total number of partitions
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/EqualPartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/EqualPartitioner.java
index 006181a6d..0e7de28a0 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/EqualPartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/EqualPartitioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.repartition;
 
@@ -24,18 +28,6 @@ import org.apache.spark.api.java.JavaRDD;
 
 import java.util.Random;
 
-/**
- * This is a custom partitioner (used in conjunction with {@link JavaRDD#zipWithIndex()} to repartition a RDD.
- * Unlike a standard .repartition() call (which assigns partitions like [2,3,4,1,2,3,4,1,2,...] for 4 partitions],
- * this function attempts to keep contiguous elements (i.e., those elements originally in the same partition) together
- * much more frequently. Furthermore, it is less prone to producing larger or smaller than expected partitions, as
- * it is entirely deterministic, whereas .repartition() has a degree of randomness (i.e., start index) which can result in
- * a large degree of variance when the number of elements in the original partitions is small (as is the case generally in DL4J)

- * Note also that if the number of elements are not a multiple of the number of partitions, an int[] to specify the
- * locations of these values is used instead.
- *
- * @author Alex Black
- */
 @Slf4j
 @AllArgsConstructor
 public class EqualPartitioner extends Partitioner {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitioner.java
index 9412a3cbb..aba2e6202 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.repartition;
 
@@ -28,12 +32,6 @@ import java.util.Random;
 import static org.nd4j.shade.guava.base.Preconditions.checkArgument;
 import static org.nd4j.shade.guava.base.Preconditions.checkNotNull;
 
-/**
- * This is a custom partitioner that rebalances a minimum of elements
- * it expects a key in the form (SparkUID, class)
- *
- * @author huitseeker
- */
 public class HashingBalancedPartitioner extends Partitioner {
     private final int numClasses; // Total number of element classes
     private final int numPartitions; // Total number of partitions
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/MapTupleToPairFlatMap.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/MapTupleToPairFlatMap.java
index 23b702444..e78d8b321 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/MapTupleToPairFlatMap.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/repartition/MapTupleToPairFlatMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.repartition;
 
@@ -23,12 +27,6 @@ import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * This is a simple function used to convert a {@code JavaRDD>} to a {@code JavaPairRDD} via a
- * {JavaRDD.mappartitionsToPair()} call.
- *
- * @author Alex Black
- */
 public class MapTupleToPairFlatMap implements PairFlatMapFunction>, T, U> {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeReconstructionProbWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeReconstructionProbWithKeyFunction.java
index 99fcdc65b..ed302a351 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeReconstructionProbWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeReconstructionProbWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.score;
 
@@ -20,13 +24,6 @@ import org.apache.spark.broadcast.Broadcast;
 import org.deeplearning4j.nn.layers.variational.VariationalAutoencoder;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Function to calculate the scores (reconstruction probability or log probability) for a variational autoencoder.

- * Note that scoring is batched for computational efficiency.

- *
- * @param  Type of key, associated with each example. Used to keep track of which score belongs to which example
- * @author Alex Black
- */
 public abstract class BaseVaeReconstructionProbWithKeyFunction extends BaseVaeScoreWithKeyFunction {
 
     private final boolean useLogProbability;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeScoreWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeScoreWithKeyFunction.java
index da6a374c4..4140b8a53 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeScoreWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/common/score/BaseVaeScoreWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.score;
 
@@ -31,13 +35,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Function to calculate the scores (reconstruction probability, reconstruction error) for a variational autoencoder.

- * Note that scoring is batched for computational efficiency.

- *
- * @param  Type of key, associated with each example. Used to keep track of which score belongs to which example
- * @author Alex Black
- */
 @Slf4j
 public abstract class BaseVaeScoreWithKeyFunction implements PairFlatMapFunction>, K, Double> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/evaluation/EvaluationRunner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/evaluation/EvaluationRunner.java
index 4551b21f7..8550c6e3c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/evaluation/EvaluationRunner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/evaluation/EvaluationRunner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.evaluation;
 
@@ -39,12 +43,6 @@ import java.util.*;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Singleton evaluation hrunner class for performing evaluation on Spark.
- * Allows fewer evaluation networks (and hence memory/cache thrashing) than one network per spark thread
- *
- * @author Alex Black
- */
 @Slf4j
 public class EvaluationRunner {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/SparkComputationGraph.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/SparkComputationGraph.java
index 7453e1dd2..14d08dc99 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/SparkComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/SparkComputationGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph;
 
@@ -69,12 +73,6 @@ import java.io.OutputStream;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Main class for training ComputationGraph networks using Spark.
- * Also used for performing distributed evaluation and inference on these networks
- *
- * @author Alex Black
- */
 @Slf4j
 public class SparkComputationGraph extends SparkListenable {
     public static final int DEFAULT_ROC_THRESHOLD_STEPS = 32;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/DataSetToMultiDataSetFn.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/DataSetToMultiDataSetFn.java
index cc0fd311a..81e384836 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/DataSetToMultiDataSetFn.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/DataSetToMultiDataSetFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.dataset;
 
@@ -21,8 +25,6 @@ import org.deeplearning4j.nn.graph.util.ComputationGraphUtil;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**Convert a {@code JavaRDD} to a {@code JavaRDD}
- */
 public class DataSetToMultiDataSetFn implements Function {
     @Override
     public MultiDataSet call(DataSet d) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/PairDataSetToMultiDataSetFn.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/PairDataSetToMultiDataSetFn.java
index ef92b68a6..94a0b1fb4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/PairDataSetToMultiDataSetFn.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/dataset/PairDataSetToMultiDataSetFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.dataset;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import scala.Tuple2;
 
-/**Simple conversion function to convert from a {@code JavaPairRDD} to a {@code JavaPairRDD}
- * @author Alex Black
- */
 public class PairDataSetToMultiDataSetFn implements PairFunction, K, MultiDataSet> {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSFlatMapFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSFlatMapFunction.java
index cdb41ba33..31bc1333d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSFlatMapFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSFlatMapFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.evaluation;
 
@@ -27,13 +31,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.concurrent.Future;
 
-/**
- * Function to evaluate data (using one or more IEvaluation instances), in a distributed manner
- * Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned
- * for network efficiency.
- *
- * @author Alex Black
- */
 public class IEvaluateMDSFlatMapFunction implements FlatMapFunction, T[]> {
 
     protected Broadcast json;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSPathsFlatMapFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSPathsFlatMapFunction.java
index d87fd59ad..70e1532d2 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSPathsFlatMapFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/evaluation/IEvaluateMDSPathsFlatMapFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.evaluation;
 
@@ -34,13 +38,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.concurrent.Future;
 
-/**
- * Function to evaluate data (using one or more IEvaluation instances), in a distributed manner
- * Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned
- * for network efficiency.
- *
- * @author Alex Black
- */
 public class IEvaluateMDSPathsFlatMapFunction implements FlatMapFunction, IEvaluation[]> {
 
     protected Broadcast json;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ArrayPairToPair.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ArrayPairToPair.java
index f45590aaf..7ef99a0e5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ArrayPairToPair.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ArrayPairToPair.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -20,11 +24,6 @@ import org.apache.spark.api.java.function.PairFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import scala.Tuple2;
 
-/**
- * Simple conversion function for SparkComputationGraph
- *
- * @author Alex Black
- */
 public class ArrayPairToPair implements PairFunction, K, INDArray> {
     @Override
     public Tuple2 call(Tuple2 v1) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionErrorWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionErrorWithKeyFunction.java
index 0e5f01343..d8aadc3f1 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionErrorWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionErrorWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -24,15 +28,6 @@ import org.deeplearning4j.nn.layers.variational.VariationalAutoencoder;
 import org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Function to calculate the reconstruction error for a variational autoencoder, that is the first layer in a
- * ComputationGraph.

- * Note that the VAE must be using a loss function, not a {@link org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution}

- * Also note that scoring is batched for computational efficiency.

- *
- * @author Alex Black
- * @see CGVaeReconstructionProbWithKeyFunction
- */
 public class CGVaeReconstructionErrorWithKeyFunction extends BaseVaeScoreWithKeyFunction {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionProbWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionProbWithKeyFunction.java
index 835bb8fa7..57c568239 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionProbWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/CGVaeReconstructionProbWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -24,13 +28,6 @@ import org.deeplearning4j.nn.layers.variational.VariationalAutoencoder;
 import org.deeplearning4j.spark.impl.common.score.BaseVaeReconstructionProbWithKeyFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Function to calculate the reconstruction probability for a variational autoencoder, that is the first layer in a
- * ComputationGraph.

- * Note that scoring is batched for computational efficiency.

- *
- * @author Alex Black
- */
 public class CGVaeReconstructionProbWithKeyFunction extends BaseVaeReconstructionProbWithKeyFunction {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/GraphFeedForwardWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/GraphFeedForwardWithKeyFunction.java
index 6d730b60b..5b99afac5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/GraphFeedForwardWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/GraphFeedForwardWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -35,13 +39,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Function to feed-forward examples, and get the network output (for example, class probabilities).
- * A key value is used to keep track of which output corresponds to which input.
- *
- * @param  Type of key, associated with each example. Used to keep track of which output belongs to which input example
- * @author Alex Black
- */
 @Slf4j
 @AllArgsConstructor
 public class GraphFeedForwardWithKeyFunction implements PairFlatMapFunction>, K, INDArray[]> {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/PairToArrayPair.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/PairToArrayPair.java
index a3c6fb814..bc38d0522 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/PairToArrayPair.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/PairToArrayPair.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -20,11 +24,6 @@ import org.apache.spark.api.java.function.PairFunction;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import scala.Tuple2;
 
-/**
- * Simple conversion function for SparkComputationGraph
- *
- * @author Alex Black
- */
 public class PairToArrayPair implements PairFunction, K, INDArray[]> {
     @Override
     public Tuple2 call(Tuple2 v1) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesFunction.java
index 44474248d..68f645ffc 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -35,13 +39,6 @@ import java.util.Iterator;
 import java.util.List;
 
 
-/**Function to score examples individually. Note that scoring is batched for computational efficiency.

- * This is essentially a Spark implementation of the {@link ComputationGraph#scoreExamples(MultiDataSet, boolean)} method

- * Note: This method returns a score for each example, but the association between examples and scores is lost. In
- * cases where we need to know the score for particular examples, use {@link ScoreExamplesWithKeyFunction}
- * @author Alex Black
- * @see ScoreExamplesWithKeyFunction
- */
 @Slf4j
 public class ScoreExamplesFunction implements DoubleFlatMapFunction> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesWithKeyFunction.java
index 5d310ee9f..e0a3eba0a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreExamplesWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -32,15 +36,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/**Function to score examples individually, where each example is associated with a particular key

- * Note that scoring is batched for computational efficiency.

- * This is the Spark implementation of the {@link ComputationGraph#scoreExamples(MultiDataSet, boolean)} method

- * Note: The MultiDataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association
- * between keys and data sets to score)
- * @author Alex Black
- * @param  Type of key, associated with each example. Used to keep track of which score belongs to which example
- * @see ScoreExamplesFunction
- */
 @Slf4j
 public class ScoreExamplesWithKeyFunction implements PairFlatMapFunction>, K, Double> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGDataSet.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGDataSet.java
index 829dddd5e..7acae9d8f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGDataSet.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGDataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -35,7 +39,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/** Function used to score a DataSet using a ComputationGraph */
 public class ScoreFlatMapFunctionCGDataSet implements FlatMapFunction, Tuple2> {
     private static final Logger log = LoggerFactory.getLogger(ScoreFlatMapFunctionCGDataSet.class);
     private String json;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGMultiDataSet.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGMultiDataSet.java
index f72fdbb34..60ba08857 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGMultiDataSet.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/graph/scoring/ScoreFlatMapFunctionCGMultiDataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph.scoring;
 
@@ -34,7 +38,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/** Function used to score a MultiDataSet using a given ComputationGraph */
 public class ScoreFlatMapFunctionCGMultiDataSet implements FlatMapFunction, Tuple2> {
 
     private static final Logger log = LoggerFactory.getLogger(ScoreFlatMapFunctionCGMultiDataSet.class);
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouter.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouter.java
index 96cf03c4d..a1f7c7f17 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouter.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.listeners;
 
@@ -26,11 +30,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Standard router for use in Spark: simply collect the data for later serialization and passing back to the master.
- *
- * @author Alex Black
- */
 @Data
 public class VanillaStatsStorageRouter implements StatsStorageRouter {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouterProvider.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouterProvider.java
index 318763f34..1f0ab8184 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouterProvider.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/listeners/VanillaStatsStorageRouterProvider.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.listeners;
 
 import org.deeplearning4j.core.storage.StatsStorageRouter;
 import org.deeplearning4j.core.storage.StatsStorageRouterProvider;
 
-/**
- * Returns a new instance of a {@link VanillaStatsStorageRouter}
- *
- * @author Alex Black
- */
 public class VanillaStatsStorageRouterProvider implements StatsStorageRouterProvider {
 
     private StatsStorageRouter router = null;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/SparkDl4jMultiLayer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/SparkDl4jMultiLayer.java
index 9820aa485..be7780f2f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/SparkDl4jMultiLayer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/SparkDl4jMultiLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer;
 
@@ -70,12 +74,6 @@ import java.io.IOException;
 import java.io.OutputStream;
 import java.util.List;
 
-/**
- * Main class for training MultiLayerNetwork networks using Spark.
- * Also used for performing distributed evaluation and inference on these networks
- *
- * @author Adam Gibson, Alex Black
- */
 @Slf4j
 public class SparkDl4jMultiLayer extends SparkListenable {
     public static final int DEFAULT_EVAL_SCORE_BATCH_SIZE = 64;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateAggregateFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateAggregateFunction.java
index c1d368773..4e5f7d127 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateAggregateFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateAggregateFunction.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.evaluation;
 
 import org.apache.spark.api.java.function.Function2;
 import org.nd4j.evaluation.IEvaluation;
 
-/**
- * A simple function to merge IEvaluation instances
- *
- * @author Alex Black
- */
 public class IEvaluateAggregateFunction implements Function2 {
     @Override
     public T[] call(T[] v1, T[] v2) throws Exception {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateFlatMapFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateFlatMapFunction.java
index 0a33fb995..3ea14aaa5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateFlatMapFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluateFlatMapFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.evaluation;
 
@@ -28,13 +32,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.concurrent.Future;
 
-/**
- * Function to evaluate data (using an IEvaluation instance), in a distributed manner
- * Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned
- * for network efficiency.
- *
- * @author Alex Black
- */
 public class IEvaluateFlatMapFunction implements FlatMapFunction, T[]> {
 
     protected boolean isCompGraph;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluationReduceFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluationReduceFunction.java
index ac6e97e38..44901b20e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluationReduceFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/evaluation/IEvaluationReduceFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.evaluation;
 
@@ -20,12 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.apache.spark.api.java.function.Function2;
 import org.nd4j.evaluation.IEvaluation;
 
-/**
- *
- * Reduction function for use with {@link IEvaluateFlatMapFunction} for distributed evaluation
- *
- * @author Alex Black
- */
 @Slf4j
 public class IEvaluationReduceFunction implements Function2 {
     public IEvaluationReduceFunction() {}
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/FeedForwardWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/FeedForwardWithKeyFunction.java
index 6804ca34b..510f2e4d4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/FeedForwardWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/FeedForwardWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
@@ -34,13 +38,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Function to feed-forward examples, and get the network output (for example, class probabilities).
- * A key value is used to keep track of which output corresponds to which input.
- *
- * @param  Type of key, associated with each example. Used to keep track of which output belongs to which input example
- * @author Alex Black
- */
 public class FeedForwardWithKeyFunction
                 implements PairFlatMapFunction>>, K, INDArray> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesFunction.java
index 4142750d0..6c3878da5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
@@ -32,13 +36,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/**Function to score examples individually. Note that scoring is batched for computational efficiency.

- * This is essentially a Spark implementation of the {@link MultiLayerNetwork#scoreExamples(DataSet, boolean)} method

- * Note: This method returns a score for each example, but the association between examples and scores is lost. In
- * cases where we need to know the score for particular examples, use {@link ScoreExamplesWithKeyFunction}
- * @author Alex Black
- * @see ScoreExamplesWithKeyFunction
- */
 public class ScoreExamplesFunction implements DoubleFlatMapFunction> {
 
     protected static Logger log = LoggerFactory.getLogger(ScoreExamplesFunction.class);
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesWithKeyFunction.java
index e25915bfc..4c54cedf4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreExamplesWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
@@ -31,17 +35,6 @@ import java.util.Collections;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Function to score examples individually, where each example is associated with a particular key

- * Note that scoring is batched for computational efficiency.

- * This is the Spark implementation of t he {@link MultiLayerNetwork#scoreExamples(DataSet, boolean)} method

- * Note: The DataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association
- * between keys and data sets to score)
- *
- * @param  Type of key, associated with each example. Used to keep track of which score belongs to which example
- * @author Alex Black
- * @see ScoreExamplesFunction
- */
 @Slf4j
 public class ScoreExamplesWithKeyFunction implements PairFlatMapFunction>, K, Double> {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreFlatMapFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreFlatMapFunction.java
index 98a2639ef..3676390da 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreFlatMapFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/ScoreFlatMapFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/SingleToPairFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/SingleToPairFunction.java
index 528dbf216..c3ffc7173 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/SingleToPairFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/SingleToPairFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionErrorWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionErrorWithKeyFunction.java
index 231f3c9a2..3f7c5ba6c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionErrorWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionErrorWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
@@ -28,15 +32,6 @@ import scala.Tuple2;
 import java.util.Iterator;
 
 
-/**
- * Function to calculate the reconstruction error for a variational autoencoder, that is the first layer in a
- * MultiLayerNetwork.

- * Note that the VAE must be using a loss function, not a {@link org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution}

- * Also note that scoring is batched for computational efficiency.

- *
- * @author Alex Black
- * @see VaeReconstructionProbWithKeyFunction
- */
 public class VaeReconstructionErrorWithKeyFunction extends BaseVaeScoreWithKeyFunction {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionProbWithKeyFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionProbWithKeyFunction.java
index e8fc8416f..d9dd8a155 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionProbWithKeyFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/multilayer/scoring/VaeReconstructionProbWithKeyFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer.scoring;
 
@@ -25,13 +29,6 @@ import org.deeplearning4j.spark.impl.common.score.BaseVaeReconstructionProbWithK
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Function to calculate the reconstruction probability for a variational autoencoder, that is the first layer in a
- * MultiLayerNetwork.

- * Note that scoring is batched for computational efficiency.

- *
- * @author Alex Black
- */
 public class VaeReconstructionProbWithKeyFunction extends BaseVaeReconstructionProbWithKeyFunction {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingMaster.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingMaster.java
index 7dcc14b4b..84d89950c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingMaster.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingMaster.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -56,10 +60,6 @@ import java.net.URISyntaxException;
 import java.util.List;
 import java.util.Random;
 
-/**
- * @author raver119@gmail.com
- * @author Alex Black
- */
 @Slf4j
 public abstract class BaseTrainingMaster>
                 implements TrainingMaster {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingResult.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingResult.java
index eac730d69..70546b9df 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingResult.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingResult.java
@@ -1,26 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
 import org.deeplearning4j.spark.api.TrainingResult;
 
-/**
- * @author raver119@gmail.com
- * @author Alex Black
- */
 public abstract class BaseTrainingResult implements TrainingResult {
 }
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingWorker.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingWorker.java
index 741092088..b9d7d3c19 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingWorker.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/BaseTrainingWorker.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
 import org.deeplearning4j.spark.api.TrainingResult;
 import org.deeplearning4j.spark.api.TrainingWorker;
 
-/**
- * @author raver119@gmail.com
- * @author Alex Black
- */
 public abstract class BaseTrainingWorker implements TrainingWorker {
 }
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingMaster.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingMaster.java
index cb9e36340..e870d5ccb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingMaster.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingMaster.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -68,14 +72,6 @@ import java.util.*;
 
 import static org.nd4j.shade.guava.base.Preconditions.checkArgument;
 
-/**
- * ParameterAveragingTrainingMaster: A {@link TrainingMaster}
- * implementation for training networks on Spark.
- * This is standard parameter averaging with a
- * configurable averaging period.
- *
- * @author Alex Black
- */
 @Data
 @JsonIgnoreProperties({"stats", "listeners", "iterationCount", "rng", "lastExportedRDDId", "lastRDDExportPath",
                 "trainingMasterUID"})
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingResult.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingResult.java
index 8cd3330a9..777f41d81 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingResult.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingResult.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Collection;
 
-/**
- * The results (parameters, optional updaters) returned by a {@link ParameterAveragingTrainingWorker} to the
- * {@link ParameterAveragingTrainingMaster}
- *
- * @author Alex Black
- */
 @Data
 public class ParameterAveragingTrainingResult implements TrainingResult {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingWorker.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingWorker.java
index 1f5c54824..5030a21b6 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingWorker.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/ParameterAveragingTrainingWorker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -48,13 +52,6 @@ import java.util.ArrayList;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * ParameterAveragingTrainingWorker
- * implements standard parameter
- * averaging every m iterations.
- *
- * @author Alex Black
- */
 public class ParameterAveragingTrainingWorker extends BaseTrainingWorker {
 
     private final Broadcast broadcast;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingAggregationTuple.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingAggregationTuple.java
index f6b1e74bf..c493f967f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingAggregationTuple.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingAggregationTuple.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.aggregator;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.io.Serializable;
 import java.util.Collection;
 
-/**
- * Simple helper tuple used to execute parameter averaging
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 @Builder
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementAddFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementAddFunction.java
index 419bcee35..cde384b89 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementAddFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementAddFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.aggregator;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Collection;
 
-/**
- * Add function for parameter averaging
- *
- * @author Alex Black
- */
 public class ParameterAveragingElementAddFunction implements
                 Function2 {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementCombineFunction.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementCombineFunction.java
index 545830dd7..3da530a31 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementCombineFunction.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/aggregator/ParameterAveragingElementCombineFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.aggregator;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Collection;
 
-/**
- * Function used in ParameterAveraging TrainingMaster, for doing parameter averaging, and handling updaters
- *
- * @author Alex Black
- */
 public class ParameterAveragingElementCombineFunction implements
                 Function2 {
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingMasterStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingMasterStats.java
index 59e8af83b..3488d8a66 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingMasterStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingMasterStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.stats;
 
@@ -28,11 +32,6 @@ import org.deeplearning4j.spark.time.TimeSourceProvider;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * Statistics collected by a {@link org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster}
- *
- * @author Alex Black
- */
 @Data
 public class ParameterAveragingTrainingMasterStats implements SparkTrainingStats {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingWorkerStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingWorkerStats.java
index 5c2de5d31..fce3ec751 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingWorkerStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/stats/ParameterAveragingTrainingWorkerStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.stats;
 
@@ -30,11 +34,6 @@ import org.deeplearning4j.spark.time.TimeSourceProvider;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * Statistics collected by {@link org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker} instances
- *
- * @author Alex Black
- */
 @Data
 public class ParameterAveragingTrainingWorkerStats implements SparkTrainingStats {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupport.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupport.java
index 2cdbcbda0..dd2726b9c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupport.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.util;
 
@@ -22,11 +26,6 @@ import org.apache.spark.api.java.JavaSparkContext;
 
 import java.io.IOException;
 
-/**
- * Utility for checking if exporting data sets is supported
- *
- * @author Ede Meijer
- */
 public class ExportSupport {
     /**
      * Verify that exporting data is supported, and throw an informative exception if not.
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/DefaultRepartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/DefaultRepartitioner.java
index b98fbfe73..042e76abe 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/DefaultRepartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/DefaultRepartitioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.repartitioner;
 
@@ -24,12 +28,6 @@ import scala.Tuple2;
 
 import java.util.List;
 
-/**
- * DefaultRepartitioner: Repartition data so that we exactly the minimum number of objects per partition, up to a
- * specified maximum number of partitions
- *
- * @author Alex Black
- */
 @Slf4j
 public class DefaultRepartitioner implements Repartitioner {
     public static final int DEFAULT_MAX_PARTITIONS = 5000;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/EqualRepartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/EqualRepartitioner.java
index 2f16796c8..254273dfa 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/EqualRepartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/EqualRepartitioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.repartitioner;
 
@@ -29,14 +33,6 @@ import scala.Tuple2;
 import java.util.List;
 import java.util.Random;
 
-/**
- * Equal repartitioner. Splits the data into numExecutors equal sized partitions.

- * Note that if the number of objects isn't an exact multiple of the number of executors, the "remainder"
- * are randomly allocated to one partition without replacement (i.e., the largest partitions will have exactly 1
- * more object than the smallest partitions)
- *
- * @author Alex Black
- */
 @Slf4j
 public class EqualRepartitioner implements Repartitioner {
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/NoOpRepartitioner.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/NoOpRepartitioner.java
index 274554009..903382811 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/NoOpRepartitioner.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/impl/repartitioner/NoOpRepartitioner.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.repartitioner;
 
 import org.apache.spark.api.java.JavaRDD;
 import org.deeplearning4j.spark.api.Repartitioner;
 
-/**
- * No-op repartitioner. Returns the input un-modified
- *
- * @author Alex Black
- */
 public class NoOpRepartitioner implements Repartitioner {
     @Override
     public  JavaRDD repartition(JavaRDD input, int minObjectsPerPartition, int numExecutors) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/BaseDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/BaseDataSetIterator.java
index 9fc53759f..936009272 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/BaseDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/BaseDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -25,9 +29,6 @@ import java.util.Collection;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Created by huitseeker on 2/15/17.
- */
 public abstract class BaseDataSetIterator implements DataSetIterator {
     protected Collection dataSetStreams;
     protected DataSetPreProcessor preprocessor;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkDataSetIterator.java
index b9d1064d7..2e7c6bad5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -30,12 +34,6 @@ import java.net.URI;
 import java.util.Collection;
 import java.util.Iterator;
 
-/**
- * A DataSetIterator that loads serialized DataSet objects (saved with {@link DataSet#save(OutputStream)}) from
- * a String that represents the path (for example, on HDFS)
- *
- * @author Alex Black
- */
 public class PathSparkDataSetIterator extends BaseDataSetIterator {
 
     public static final int BUFFER_SIZE = 4194304; //4 MB
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkMultiDataSetIterator.java
index d2d2945c7..94f023f6e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PathSparkMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -33,12 +37,6 @@ import java.net.URI;
 import java.util.Collection;
 import java.util.Iterator;
 
-/**
- * A DataSetIterator that loads serialized DataSet objects (saved with {@link MultiDataSet#save(OutputStream)}) from
- * a String that represents the path (for example, on HDFS)
- *
- * @author Alex Black
- */
 public class PathSparkMultiDataSetIterator implements MultiDataSetIterator {
 
     public static final int BUFFER_SIZE = 4194304; //4 MB
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamDataSetIterator.java
index 53af6aa21..78ea43fc5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -26,12 +30,6 @@ import java.io.OutputStream;
 import java.util.Collection;
 import java.util.Iterator;
 
-/**
- * A DataSetIterator that loads serialized DataSet objects (saved with {@link DataSet#save(OutputStream)}) from
- * a {@link PortableDataStream}, usually obtained from SparkContext.binaryFiles()
- *
- * @author Alex Black
- */
 public class PortableDataStreamDataSetIterator extends BaseDataSetIterator {
 
     public PortableDataStreamDataSetIterator(Iterator iter) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamMultiDataSetIterator.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamMultiDataSetIterator.java
index 5b09784e9..d1f983b6e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/PortableDataStreamMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -27,12 +31,6 @@ import java.io.OutputStream;
 import java.util.Collection;
 import java.util.Iterator;
 
-/**
- * A DataSetIterator that loads serialized MultiDataSet objects (saved with {@link MultiDataSet#save(OutputStream)}) from
- * a {@link PortableDataStream}, usually obtained from SparkContext.binaryFiles()
- *
- * @author Alex Black
- */
 public class PortableDataStreamMultiDataSetIterator implements MultiDataSetIterator {
 
     private final Collection dataSetStreams;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkADSI.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkADSI.java
index a86182878..65f509566 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkADSI.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkADSI.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingQueue;
 
-/**
- * Spark version of AsyncDataSetIterator, made separate to propagate Spark TaskContext to new background thread, for Spark block locks compatibility
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SparkADSI extends AsyncDataSetIterator {
     protected TaskContext context;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkAMDSI.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkAMDSI.java
index 44b8d3ee1..712e62d28 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkAMDSI.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/iterator/SparkAMDSI.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.iterator;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingQueue;
 
-/**
- * Spark version of AsyncMultiDataSetIterator, made separate to propagate Spark TaskContext to new background thread, for Spark block locks compatibility
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SparkAMDSI extends AsyncMultiDataSetIterator {
     protected TaskContext context;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/ordering/DataSetOrdering.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/ordering/DataSetOrdering.java
index e2daa3511..114a32241 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/ordering/DataSetOrdering.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/ordering/DataSetOrdering.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.ordering;
 
@@ -21,10 +25,6 @@ import scala.Function1;
 import scala.Some;
 import scala.math.Ordering;
 
-/**
- * Orders by data set size.
- * This will force the dataset with a certain number of mini batches to be grouped at th end.
- */
 public class DataSetOrdering implements Ordering {
     @Override
     public Some tryCompare(DataSet dataSet, DataSet t1) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/BaseEventStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/BaseEventStats.java
index 35a70460c..880fa41a9 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/BaseEventStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/BaseEventStats.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.stats;
 
 import org.deeplearning4j.core.util.UIDProvider;
 
-/**
- * Created by Alex on 26/06/2016.
- */
 public class BaseEventStats implements EventStats {
 
     protected final String machineId;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/EventStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/EventStats.java
index 63fb31a32..06597aa95 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/EventStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/EventStats.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.stats;
 
 import java.io.Serializable;
 
-/**
- * Created by Alex on 26/06/2016.
- */
 public interface EventStats extends Serializable {
 
     String getMachineID();
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/ExampleCountEventStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/ExampleCountEventStats.java
index a0792b659..97b7254f4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/ExampleCountEventStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/ExampleCountEventStats.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.stats;
 
 import lombok.Getter;
 
-/**
- * Event stats implementation with number of examples
- *
- * @author Alex Black
- */
 public class ExampleCountEventStats extends BaseEventStats {
 
     @Getter
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/PartitionCountEventStats.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/PartitionCountEventStats.java
index 5d13c223a..2018d1912 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/PartitionCountEventStats.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/PartitionCountEventStats.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.stats;
 
 import lombok.Getter;
 
-/**
- * Event stats implementation with partition count
- *
- * @author Alex Black
- */
 public class PartitionCountEventStats extends BaseEventStats {
 
     @Getter
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/StatsUtils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/StatsUtils.java
index d903790dd..867d89795 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/StatsUtils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/stats/StatsUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.stats;
 
@@ -43,11 +47,6 @@ import java.io.OutputStream;
 import java.util.*;
 import java.util.List;
 
-/**
- * Utility methods for Spark training stats
- *
- * @author Alex Black
- */
 public class StatsUtils {
 
     public static final long DEFAULT_MAX_TIMELINE_SIZE_MS = 20 * 60 * 1000; //20 minutes
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/NTPTimeSource.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/NTPTimeSource.java
index 4657a6aeb..8b6332ba4 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/NTPTimeSource.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/NTPTimeSource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.time;
 
@@ -26,22 +30,6 @@ import java.net.InetAddress;
 import java.util.Timer;
 import java.util.TimerTask;
 
-/**
- * A {@link TimeSource} that utilize Network Time Protocol to determine the system clock offset

- * Instances should be obtained via {@link #getInstance()} or {@link TimeSourceProvider}; one instance may be
- * used per machine

- *
- * Specifically, the implementation uses Apache Commons Net (already a dependency in Spark) to query a NTP server.
- * This querying is done periodically (default: once upon initialization and then every 30 minutes thereafter).

- *
- * The following configuration options can be set via system properties:

- * To set the time update frequency (for querying the NTP server, in milliseconds): org.deeplearning4j.spark.time.NTPTimeSource.frequencyms

- * To set the NTP server address: org.deeplearning4j.spark.time.NTPTimeSource.server

- * Default NTP server: {@link #DEFAULT_NTP_SERVER}
- *
- *
- * @author Alex Black
- */
 public class NTPTimeSource implements TimeSource {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/SystemClockTimeSource.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/SystemClockTimeSource.java
index c6e4a8776..02c7c0fb8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/SystemClockTimeSource.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/SystemClockTimeSource.java
@@ -1,27 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.time;
 
 
-/**
- * A {@link TimeSource} implementation that is identical to calling {@link System#currentTimeMillis()}
- *
- * @author Alex Black
- */
 public class SystemClockTimeSource implements TimeSource {
 
     public static TimeSource getInstance() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSource.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSource.java
index fcc0bb302..c236aea68 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSource.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSource.java
@@ -1,29 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.time;
 
-/**
- * A time source is an abstraction of system time away from the local system clock.
- * Typically it is used in distributed computing settings, to allow for different time implementations, such as NTP
- * over the internet (via {@link NTPTimeSource}, local synchronization (LAN only - not implemented), or simply using the
- * standard clock on each machine (System.currentTimeMillis() via {@link SystemClockTimeSource}.
- *
- * @author Alex Black
- */
 public interface TimeSource {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSourceProvider.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSourceProvider.java
index b699cf6fc..688ddef19 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSourceProvider.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/time/TimeSourceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.time;
 
@@ -21,13 +25,6 @@ import org.deeplearning4j.common.config.DL4JSystemProperties;
 
 import java.lang.reflect.Method;
 
-/**
- * TimeSourceProvider: used to get a TimeSource via a static method.

- * Defaults to the Network Time Protocol implementation {@link NTPTimeSource}, but can be switched to other implementations
- * via the {@link TimeSourceProvider#TIMESOURCE_CLASSNAME_PROPERTY} system property.
- *
- * @author Alex Black
- */
 public class TimeSourceProvider {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/MLLibUtil.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/MLLibUtil.java
index cfa081710..dbde9f862 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/MLLibUtil.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/MLLibUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkDataUtils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkDataUtils.java
index 697477e6e..eb919864b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkDataUtils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkDataUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util;
 
@@ -32,11 +36,6 @@ import org.nd4j.common.loader.FileBatch;
 import java.io.*;
 import java.util.*;
 
-/**
- * Utilities for handling data for Spark training
- *
- * @author Alex Black
- */
 public class SparkDataUtils {
 
     private SparkDataUtils() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkUtils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkUtils.java
index 0bfad5a8a..6e88fbfa8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkUtils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/SparkUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util;
 
@@ -59,11 +63,6 @@ import java.net.URI;
 import java.nio.ByteBuffer;
 import java.util.*;
 
-/**
- * Various utilities for Spark
- *
- * @author Alex Black
- */
 @Slf4j
 public class SparkUtils {
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/SparkDataValidation.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/SparkDataValidation.java
index dedfad905..33ccc5107 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/SparkDataValidation.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/SparkDataValidation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.data;
 
@@ -28,11 +32,6 @@ import java.io.IOException;
 import java.io.OutputStream;
 import java.util.List;
 
-/**
- * Utilities for validating DataSets and MultiDataSets saved (usually) in a HDFS directory.
- *
- * @author Alex Black
- */
 public class SparkDataValidation {
 
     private SparkDataValidation() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/ValidationResult.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/ValidationResult.java
index f2a3e9b6d..615a9ec86 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/ValidationResult.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/ValidationResult.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.data;
 
@@ -23,11 +27,6 @@ import lombok.NoArgsConstructor;
 
 import java.io.Serializable;
 
-/**
- * Result for validation of DataSet and MultiDataSets. See {@link SparkDataValidation} for more details
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Data
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateDataSetFn.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateDataSetFn.java
index 29c325f00..d1797ac6b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateDataSetFn.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateDataSetFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.data.validation;
 
@@ -31,12 +35,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.io.EOFException;
 import java.net.URI;
 
-/**
- * Function used to validate DataSets on HDFS - see {@link org.deeplearning4j.spark.util.data.SparkDataValidation} for
- * further details
- *
- * @author Alex Black
- */
 public class ValidateDataSetFn implements Function {
     public static final int BUFFER_SIZE = 4194304; //4 MB
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateMultiDataSetFn.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateMultiDataSetFn.java
index e229d6c44..3dabc1fa8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateMultiDataSetFn.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidateMultiDataSetFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.data.validation;
 
@@ -33,12 +37,6 @@ import java.util.List;
 
 import static org.deeplearning4j.spark.util.data.validation.ValidateDataSetFn.validateArrayShape;
 
-/**
- * Function used to validate MultiDataSets on HDFS - see {@link org.deeplearning4j.spark.util.data.SparkDataValidation} for
- * further details
- *
- * @author Alex Black
- */
 public class ValidateMultiDataSetFn implements Function {
     public static final int BUFFER_SIZE = 4194304; //4 MB
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidationResultReduceFn.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidationResultReduceFn.java
index 7c71ff890..1405e5f2c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidationResultReduceFn.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/data/validation/ValidationResultReduceFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.data.validation;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelDeserializer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelDeserializer.java
index a419e5144..8d75898d5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelDeserializer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.serde;
 
@@ -25,12 +29,6 @@ import org.nd4j.shade.jackson.databind.JsonNode;
 
 import java.io.IOException;
 
-/**
- * By default: Spark storage levels don't serialize/deserialize cleanly with Jackson (i.e., we can get different results out).
- * So we'll manually control the serialization/deserialization for StorageLevel objects
- *
- * @author Alex Black
- */
 public class StorageLevelDeserializer extends JsonDeserializer {
     @Override
     public StorageLevel deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelSerializer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelSerializer.java
index e05b18e06..1bdc55c7a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelSerializer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/java/org/deeplearning4j/spark/util/serde/StorageLevelSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util.serde;
 
@@ -26,12 +30,6 @@ import java.io.IOException;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * By default: Spark storage levels don't serialize/deserialize cleanly with Jackson (i.e., we can get different results out).
- * So we'll manually control the serialization/deserialization for StorageLevel objects
- *
- * @author Alex Black
- */
 public class StorageLevelSerializer extends JsonSerializer {
 
     private static final Map map = initMap();
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/scala/org/apache/spark/TaskContextHelper.scala b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/scala/org/apache/spark/TaskContextHelper.scala
index 3d65d2d9f..8d9e1f4e2 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/scala/org/apache/spark/TaskContextHelper.scala
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/main/scala/org/apache/spark/TaskContextHelper.scala
@@ -1,28 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.apache.spark
 
 
-/**
-  * This simple helper is used to get access to package-protected Scala TaskContext.setTaskContext method.
-  * For more details, please read: https://issues.apache.org/jira/browse/SPARK-18406
-  *
-  * @author raver119@gmail.com
-  */
 object TaskContextHelper {
   def setTaskContext(tc: TaskContext): Unit = TaskContext.setTaskContext(tc)
 }
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkKryoTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkKryoTest.java
index db24914a9..9cab73c5e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkKryoTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkKryoTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark;
 
@@ -23,9 +27,6 @@ import java.lang.reflect.Field;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * Created by Alex on 04/07/2017.
- */
 public class BaseSparkKryoTest extends BaseSparkTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkTest.java
index be78ec7cd..a48833e22 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/BaseSparkTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark;
 
@@ -41,9 +45,6 @@ import java.util.List;
 import java.util.Random;
 
 
-/**
- * Created by agibsonccc on 1/23/15.
- */
 public abstract class BaseSparkTest extends BaseDL4JTest implements Serializable {
     protected transient JavaSparkContext sc;
     protected transient INDArray labels;
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSpark.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSpark.java
index 1515cf3cf..f4ddd4dd2 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSpark.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSpark.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSparkCompGraph.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSparkCompGraph.java
index 0c4e2b2f8..39d534f94 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSparkCompGraph.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestEarlyStoppingSparkCompGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestKryo.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestKryo.java
index 8c5188b70..a041568fb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestKryo.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/TestKryo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark;
 
@@ -45,9 +49,6 @@ import java.util.concurrent.CopyOnWriteArrayList;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 04/07/2017.
- */
 public class TestKryo extends BaseSparkKryoTest {
 
     private  void testSerialization(T in, SerializerInstance si) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/common/AddTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/common/AddTest.java
index 1a4991e6d..384c89926 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/common/AddTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/common/AddTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.common;
 
@@ -28,9 +32,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by agibsonccc on 2/8/15.
- */
 public class AddTest extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestShuffleExamples.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestShuffleExamples.java
index c26db5642..36744425f 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestShuffleExamples.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestShuffleExamples.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
@@ -34,9 +38,6 @@ import java.util.Random;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 06/01/2017.
- */
 public class TestShuffleExamples extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestSparkDataUtils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestSparkDataUtils.java
index 10c3c22d9..927d14508 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestSparkDataUtils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/data/TestSparkDataUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.data;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/MiniBatchTests.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/MiniBatchTests.java
index a4676c0a1..fde796b86 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/MiniBatchTests.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/MiniBatchTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -33,9 +37,6 @@ import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Handle dividing things up by mini batch
- */
 public class MiniBatchTests extends BaseSparkTest {
     private static final Logger log = LoggerFactory.getLogger(MiniBatchTests.class);
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestDataVecDataSetFunctions.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestDataVecDataSetFunctions.java
index 996360564..71a7265ba 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestDataVecDataSetFunctions.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestDataVecDataSetFunctions.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestExport.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestExport.java
index d110a3b98..23008c572 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestExport.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestExport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -36,9 +40,6 @@ import java.util.Random;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotNull;
 
-/**
- * Created by Alex on 29/08/2016.
- */
 public class TestExport extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestPreProcessedData.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestPreProcessedData.java
index 6e90a82b8..10c444c12 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestPreProcessedData.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/TestPreProcessedData.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec;
 
@@ -54,9 +58,6 @@ import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 03/07/2016.
- */
 public class TestPreProcessedData extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/iterator/TestIteratorUtils.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/iterator/TestIteratorUtils.java
index f34bc453d..32669c3e6 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/iterator/TestIteratorUtils.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/datavec/iterator/TestIteratorUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.datavec.iterator;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/TestKryoWarning.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/TestKryoWarning.java
index 941132dc5..43c7c6f4d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/TestKryoWarning.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/TestKryoWarning.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl;
 
@@ -29,9 +33,6 @@ import org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster;
 import org.junit.Ignore;
 import org.junit.Test;
 
-/**
- * Created by Alex on 20/07/2016.
- */
 public class TestKryoWarning {
 
     private static void doTestMLN(SparkConf sparkConf) {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitionerTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitionerTest.java
index b3be0029c..70a3ed4b8 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitionerTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/BalancedPartitionerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.repartition;
 
@@ -21,9 +25,6 @@ import org.junit.Test;
 import static org.junit.Assert.assertEquals;
 
 
-/**
- * Created by huitseeker on 4/4/17.
- */
 public class BalancedPartitionerTest {
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitionerTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitionerTest.java
index 4d2ed4b97..7a87c3868 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitionerTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/common/repartition/HashingBalancedPartitionerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.common.repartition;
 
@@ -31,9 +35,6 @@ import java.util.*;
 import static org.junit.Assert.assertTrue;
 
 
-/**
- * Created by huitseeker on 4/4/17.
- */
 public class HashingBalancedPartitionerTest extends BaseSparkTest {
 
     // e.g. we have 3 partitions, with red and blue elements, red is indexed by 0, blue by 1:
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/TestCustomLayer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/TestCustomLayer.java
index 46f421682..f8e287d8c 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/TestCustomLayer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/TestCustomLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.customlayer;
 
@@ -36,9 +40,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Random;
 
-/**
- * Created by Alex on 28/08/2016.
- */
 public class TestCustomLayer extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayer.java
index a4294161b..15dda016b 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.customlayer.layer;
 
@@ -33,9 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Collection;
 import java.util.Map;
 
-/**
- * Created by Alex on 26/08/2016.
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class CustomLayer extends FeedForwardLayer {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayerImpl.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayerImpl.java
index 680edd1fa..55b32d1dc 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayerImpl.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/customlayer/layer/CustomLayerImpl.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.customlayer.layer;
 
@@ -20,12 +24,6 @@ import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.layers.BaseLayer;
 import org.nd4j.linalg.api.buffer.DataType;
 
-/**
- *
- * Basically: identical to DenseLayer
- *
- * Created by Alex on 26/08/2016.
- */
 public class CustomLayerImpl extends BaseLayer {
     public CustomLayerImpl(NeuralNetConfiguration conf, DataType dataType) {
         super(conf, dataType);
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/graph/TestSparkComputationGraph.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/graph/TestSparkComputationGraph.java
index e83a8027a..9bd944c8d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/graph/TestSparkComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/graph/TestSparkComputationGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.graph;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/misc/TestFrozenLayers.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/misc/TestFrozenLayers.java
index fef5ba1b3..05eadfc2d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/misc/TestFrozenLayers.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/misc/TestFrozenLayers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.misc;
 
@@ -44,9 +48,6 @@ import java.util.Map;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 10/07/2017.
- */
 public class TestFrozenLayers extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestMiscFunctions.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestMiscFunctions.java
index 4c971edbb..5881b5f41 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestMiscFunctions.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestMiscFunctions.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer;
 
@@ -48,9 +52,6 @@ import java.util.*;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 17/12/2016.
- */
 public class TestMiscFunctions extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestSparkDl4jMultiLayer.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestSparkDl4jMultiLayer.java
index 4903091c6..afa6abdd1 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestSparkDl4jMultiLayer.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/multilayer/TestSparkDl4jMultiLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.multilayer;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestCompareParameterAveragingSparkVsSingleMachine.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestCompareParameterAveragingSparkVsSingleMachine.java
index 9a6c80000..50bd0531a 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestCompareParameterAveragingSparkVsSingleMachine.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestCompareParameterAveragingSparkVsSingleMachine.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -51,14 +55,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-// import org.nd4j.jita.conf.Configuration;
-// import org.nd4j.jita.conf.CudaEnvironment;
-// import org.nd4j.linalg.api.ops.executioner.GridExecutioner;
-// import org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner;
-
-/**
- * Created by Alex on 18/06/2016.
- */
 public class TestCompareParameterAveragingSparkVsSingleMachine {
     @Before
     public void setUp() {
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestJsonYaml.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestJsonYaml.java
index 8558878b8..3cd2056f5 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestJsonYaml.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestJsonYaml.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -22,9 +26,6 @@ import org.junit.Test;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 20/09/2016.
- */
 public class TestJsonYaml {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestSparkMultiLayerParameterAveraging.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestSparkMultiLayerParameterAveraging.java
index 7357f77e7..0edbc60ad 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestSparkMultiLayerParameterAveraging.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/TestSparkMultiLayerParameterAveraging.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg;
 
@@ -79,9 +83,6 @@ import java.util.*;
 import static org.junit.Assert.*;
 
 
-/**
- * Created by agibsonccc on 1/18/15.
- */
 public class TestSparkMultiLayerParameterAveraging extends BaseSparkTest {
 
     public static class TestFn implements Function{
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupportTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupportTest.java
index 16103a6bf..20ceb2540 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupportTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/paramavg/util/ExportSupportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.paramavg.util;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/stats/TestTrainingStatsCollection.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/stats/TestTrainingStatsCollection.java
index 15d57b0a6..f2559a9bb 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/stats/TestTrainingStatsCollection.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/impl/stats/TestTrainingStatsCollection.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.impl.stats;
 
@@ -48,9 +52,6 @@ import static junit.framework.TestCase.assertNotNull;
 import static junit.framework.TestCase.assertTrue;
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 17/06/2016.
- */
 public class TestTrainingStatsCollection extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/time/TestTimeSource.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/time/TestTimeSource.java
index f4b435d46..62462b802 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/time/TestTimeSource.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/time/TestTimeSource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.time;
 
@@ -21,9 +25,6 @@ import org.junit.Test;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 26/06/2016.
- */
 public class TestTimeSource {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/ui/TestListeners.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/ui/TestListeners.java
index 2c6d1fbc1..d3e1e6516 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/ui/TestListeners.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/ui/TestListeners.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.ui;
 
@@ -44,9 +48,6 @@ import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 12/10/2016.
- */
 public class TestListeners extends BaseSparkTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/MLLIbUtilTest.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/MLLIbUtilTest.java
index c4a425617..1aacc222d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/MLLIbUtilTest.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/MLLIbUtilTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util;
 
@@ -36,9 +40,6 @@ import java.util.Random;
 
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 1/23/15.
- */
 public class MLLIbUtilTest extends BaseSparkTest {
     private static final Logger log = LoggerFactory.getLogger(MLLIbUtilTest.class);
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestRepartitioning.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestRepartitioning.java
index ad1622966..deeef2178 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestRepartitioning.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestRepartitioning.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util;
 
@@ -37,9 +41,6 @@ import static junit.framework.TestCase.assertEquals;
 import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by Alex on 03/07/2016.
- */
 public class TestRepartitioning extends BaseSparkTest {
 
     @Override
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestValidation.java b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestValidation.java
index 48b73f9be..b244c2e9d 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestValidation.java
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/java/org/deeplearning4j/spark/util/TestValidation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.spark.util;
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/log4j.properties b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/log4j.properties
index 5d1edb39f..e0dc1ce63 100755
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/log4j.properties
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 log4j.rootLogger=ERROR, Console
 log4j.appender.Console=org.apache.log4j.ConsoleAppender
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/logback.xml
index 4d94f2516..aef9b5e2e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-scaleout/spark/pom.xml b/deeplearning4j/deeplearning4j-scaleout/spark/pom.xml
index 8bafabc38..c74e3e94e 100644
--- a/deeplearning4j/deeplearning4j-scaleout/spark/pom.xml
+++ b/deeplearning4j/deeplearning4j-scaleout/spark/pom.xml
@@ -1,31 +1,41 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-scaleout
         org.deeplearning4j
+        deeplearning4j-scaleout
         1.0.0-SNAPSHOT
     
-    4.0.0
+
     spark_2.11
-    1.0.0-SNAPSHOT
     pom
 
     Spark parent
+
     
         dl4j-spark
         dl4j-spark-nlp
@@ -34,87 +44,12 @@
     
 
     
-        UTF-8
-        UTF-8
-
         2.1.0
         
         2.11.12
         2.11
     
 
-
-    
-        
-            
-            
-                org.codehaus.mojo
-                build-helper-maven-plugin
-                
-                    
-                        add-source
-                        generate-sources
-                        add-source
-                        
-                            
-                                src/main/spark-${spark.major.version}
-                            
-                        
-                    
-                
-            
-            
-            
-                net.alchim31.maven
-                scala-maven-plugin
-                ${maven-scala-plugin.version}
-                
-                    
-                    
-                        scala-compile-first
-                        process-resources
-                        
-                            compile
-                            doc-jar
-                        
-                    
-
-                    
-                    
-                        scala-test-compile
-                        process-test-resources
-                        
-                            testCompile
-                        
-                    
-                
-                
-                    ${scala.version}
-                    
-                        -deprecation
-                        -explaintypes
-                        -nobootcp
-                    
-                    
-                        -Xms128m
-                        -Xmx512m
-                    
-
-                    
-                        
-                            org.scalamacros
-                            paradise_${scala.version}
-                            ${scala.macros.version}
-                        
-                    
-
-                
-            
-        
-    
-
     
         
         
@@ -122,7 +57,6 @@
             jackson
             ${nd4j.version}
         
-
         
             org.apache.spark
             spark-mllib_2.11
@@ -176,6 +110,76 @@
         
     
 
+    
+        
+            
+            
+                org.codehaus.mojo
+                build-helper-maven-plugin
+                
+                    
+                        add-source
+                        generate-sources
+                        
+                            add-source
+                        
+                        
+                            
+                                src/main/spark-${spark.major.version}
+                            
+                        
+                    
+                
+            
+            
+            
+                net.alchim31.maven
+                scala-maven-plugin
+                ${maven-scala-plugin.version}
+                
+                    
+                    
+                        scala-compile-first
+                        process-resources
+                        
+                            compile
+                            doc-jar
+                        
+                    
+                    
+                    
+                        scala-test-compile
+                        process-test-resources
+                        
+                            testCompile
+                        
+                    
+                
+                
+                    ${scala.version}
+                    
+                        -deprecation
+                        -explaintypes
+                        -nobootcp
+                    
+                    
+                        -Xms128m
+                        -Xmx512m
+                    
+                    
+                        
+                            org.scalamacros
+                            paradise_${scala.version}
+                            ${scala.macros.version}
+                        
+                    
+                
+            
+        
+    
+
     
         
             test-nd4j-native
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/pom.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/pom.xml
index 09f5bb084..a0c944ee9 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/pom.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/pom.xml
@@ -1,69 +1,64 @@
 
-
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-ui-parent
         org.deeplearning4j
+        deeplearning4j-ui-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-ui-components
 
     
-        
-            org.projectlombok
-            lombok
-            ${lombok.version}
-            provided
-        
-
         
         
             org.nd4j
             jackson
             ${nd4j.version}
         
-
         
             org.freemarker
             freemarker
             ${freemarker.version}
         
-
         
             junit
             junit
-            test
         
-
         
             commons-io
             commons-io
             ${commonsio.version}
         
-
         
             org.nd4j
             nd4j-common
             ${nd4j.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -80,5 +75,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Component.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Component.java
index 5104fd75a..93e53b758 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Component.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Component.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
@@ -25,12 +29,6 @@ import org.deeplearning4j.ui.components.text.ComponentText;
 import org.nd4j.shade.jackson.annotation.JsonSubTypes;
 import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
-/**
- * A component is anything that can be rendered, such at charts, text or tables.
- * The intended use of these components is for Java -> JavaScript interop for UIs
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.WRAPPER_OBJECT)
 @JsonSubTypes(value = {@JsonSubTypes.Type(value = ChartHistogram.class, name = "ChartHistogram"),
                 @JsonSubTypes.Type(value = ChartHorizontalBar.class, name = "ChartHorizontalBar"),
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/LengthUnit.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/LengthUnit.java
index e16df0276..b000141f2 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/LengthUnit.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/LengthUnit.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
-/**
- * LengthUnit: an enum for specifying units for things such as width and height
- */
 public enum LengthUnit {
     Px, Percent, CM, MM, In
 }
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Style.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Style.java
index f93057670..e8a49d842 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Style.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Style.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
@@ -29,12 +33,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.awt.*;
 
-/**
- * Style defines things such as size of elements, an their margins.
- * Subclasses/concrete implementations have additional settings specific to the type of component
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.WRAPPER_OBJECT)
 @JsonSubTypes(value = {@JsonSubTypes.Type(value = StyleChart.class, name = "StyleChart"),
                 @JsonSubTypes.Type(value = StyleTable.class, name = "StyleTable"),
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Utils.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Utils.java
index 67705bcda..af8a1bb4a 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Utils.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/api/Utils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/Chart.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/Chart.java
index fc56a94f9..fc15d4e4b 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/Chart.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/Chart.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.ui.api.Component;
 import org.deeplearning4j.ui.components.chart.style.StyleChart;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 
-/**
- * Abstract class for charts
- *
- * @author Alex BLack
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHistogram.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHistogram.java
index 20a1524a9..adaab695c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHistogram.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHistogram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
@@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Histogram chart, with pre-binned values. Supports variable width bins
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHorizontalBar.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHorizontalBar.java
index 2303e0f7d..836f0cab7 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHorizontalBar.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartHorizontalBar.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartLine.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartLine.java
index 57744915d..a2325f938 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartLine.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartLine.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
@@ -25,11 +29,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Line chart with multiple independent series
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartScatter.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartScatter.java
index 9d0d22d2c..db32abf0a 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartScatter.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartScatter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
@@ -25,10 +29,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**Scatter chart
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartStackedArea.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartStackedArea.java
index 72ad3c702..553324448 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartStackedArea.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartStackedArea.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
@@ -25,12 +29,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Stacked area chart (no normalization), with multiple series.
- * Note that in the current implementation, the x values for each series must be the same
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartTimeline.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartTimeline.java
index a9c05101b..09022e422 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartTimeline.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/ChartTimeline.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart;
 
@@ -28,14 +32,6 @@ import java.awt.*;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * A timeline/swimlane chart with zoom/scroll functionality.
- *
- * Time is represented here with long values - i.e., millisecond precision, epoch format
- *
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/style/StyleChart.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/style/StyleChart.java
index ef6d26aba..2ce3d3bc9 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/style/StyleChart.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/chart/style/StyleChart.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.chart.style;
 
@@ -27,11 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 
 import java.awt.*;
 
-/**
- * Style for charts
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 @NoArgsConstructor
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/ComponentDiv.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/ComponentDiv.java
index 8d87e5226..26eb68943 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/ComponentDiv.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/ComponentDiv.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.component;
 
@@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 
 import java.util.Collection;
 
-/**
- * Div component (as in, HTML div)
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/style/StyleDiv.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/style/StyleDiv.java
index b5ddc1356..655894927 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/style/StyleDiv.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/component/style/StyleDiv.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.component.style;
 
@@ -22,10 +26,6 @@ import lombok.NoArgsConstructor;
 import org.deeplearning4j.ui.api.Style;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 
-/** Style for Div components.
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 @Data
 @EqualsAndHashCode(callSuper = true)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.java
index 307069eef..e69ecae43 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.decorator;
 
@@ -26,12 +30,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Accordion decorator component: i.e., create an accordion (i.e., collapseable componenet) with multiple sub-components internally
- * Current implementation supports only one accordion section
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.java
index 03c4345bb..c11ba4e5c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.decorator.style;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/ComponentTable.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/ComponentTable.java
index f680f6561..04c539efe 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/ComponentTable.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/ComponentTable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.table;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.ui.api.Component;
 import org.deeplearning4j.ui.components.table.style.StyleTable;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 
-/**
- * Simple 2d table for text,
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/style/StyleTable.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/style/StyleTable.java
index db3197971..cb37f27ff 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/style/StyleTable.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/table/style/StyleTable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.table.style;
 
@@ -26,9 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 
 import java.awt.*;
 
-/**
- * Created by Alex on 3/04/2016.
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/ComponentText.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/ComponentText.java
index eaa4fe389..2a71b59d3 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/ComponentText.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/ComponentText.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.text;
 
@@ -22,11 +26,6 @@ import org.deeplearning4j.ui.api.Component;
 import org.deeplearning4j.ui.components.text.style.StyleText;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 
-/**
- * Simple text component with styling
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @JsonInclude(JsonInclude.Include.NON_NULL)
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/style/StyleText.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/style/StyleText.java
index 8db8826c5..778fc8b4a 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/style/StyleText.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/components/text/style/StyleText.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.components.text.style;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/ComponentObject.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/ComponentObject.java
index 8b4f59d8a..652d39512 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/ComponentObject.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/ComponentObject.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.standalone;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 
-/**
- * Created by Alex on 25/03/2016.
- */
 @AllArgsConstructor
 @Data
 public class ComponentObject {
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/StaticPageUtil.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/StaticPageUtil.java
index 80a9a959f..f66eae54c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/StaticPageUtil.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/java/org/deeplearning4j/ui/standalone/StaticPageUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.standalone;
 
@@ -35,15 +39,6 @@ import java.io.StringWriter;
 import java.io.Writer;
 import java.util.*;
 
-/**
- * Idea: Render a set of components as a single static page.
- * The goal here is to provide a simple mechanism for exporting simple pages with static content (charts, etc),
- * where (a) the required UI components, and (b) the data itself, is embedded in the page
- * 

- * This is accomplished using a simple FreeMarker template
- *
- * @author Alex Black
- */
 public class StaticPageUtil {
 
     private StaticPageUtil() {}
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.d.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.d.ts
index 5bd2e87ba..1cc399901 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.d.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.d.ts
@@ -1,22 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/// 
-/// 
-/// 
 declare abstract class Style {
     private width;
     private height;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.js
index f5b7b36ec..d2efb5382 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/resources/assets/dl4j-ui.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 var __extends = (this && this.__extends) || (function () {
     var extendStatics = Object.setPrototypeOf ||
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Component.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Component.ts
index 8edc13e10..76e296492 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Component.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Component.ts
@@ -1,23 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 abstract class Component {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/ComponentType.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/ComponentType.ts
index c2abf9230..5792bc6a1 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/ComponentType.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/ComponentType.ts
@@ -1,22 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-
-//Note that the component types match the java classes!
-//This is by design, to aid in parsing the json
 enum ComponentType {
     ComponentText,
     ComponentTable,
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Constants.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Constants.ts
index 99b8c17cc..b40524a44 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Constants.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Constants.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ChartConstants {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Margin.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Margin.ts
index e342897a0..2aa78d8c7 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Margin.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Margin.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 interface Margin {
     top: number;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Renderable.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Renderable.ts
index 3f07bed0e..29c482409 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Renderable.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Renderable.ts
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 interface Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Style.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Style.ts
index 524233144..b531c2bf8 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Style.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/api/Style.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 abstract class Style {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Chart.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Chart.ts
index 806615256..9d4d4efb3 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Chart.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Chart.ts
@@ -1,25 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-
-
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 abstract class Chart extends Component {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartHistogram.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartHistogram.ts
index 8dfbfcd8c..0cd09fb5e 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartHistogram.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartHistogram.ts
@@ -1,23 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ChartHistogram extends Chart implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartLine.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartLine.ts
index d85fcb88c..314c3d841 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartLine.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartLine.ts
@@ -1,23 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ChartLine extends Chart implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartScatter.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartScatter.ts
index 69e2cdb7d..3ab0985b0 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartScatter.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartScatter.ts
@@ -1,23 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ChartScatter extends Chart implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartStackedArea.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartStackedArea.ts
index 4c47f490c..c5b743f88 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartStackedArea.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartStackedArea.ts
@@ -1,26 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-/// 
-/// 
-/// 
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ChartStackedArea extends Chart implements Renderable {
     private xData: number[];
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartTimeline.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartTimeline.ts
index 543a9d72c..e06731d42 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartTimeline.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/ChartTimeline.ts
@@ -1,23 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ChartTimeline extends Chart implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Legend.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Legend.ts
index 326689d85..b95be6afe 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Legend.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/Legend.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class Legend {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/style/StyleChart.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/style/StyleChart.ts
index 81513ba20..764c21d3c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/style/StyleChart.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/chart/style/StyleChart.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class StyleChart extends Style {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/ComponentDiv.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/ComponentDiv.ts
index 9e7bef85c..4944c11d0 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/ComponentDiv.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/ComponentDiv.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ComponentDiv extends Component implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/style/StyleDiv.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/style/StyleDiv.ts
index 13cd6779a..904651910 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/style/StyleDiv.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/component/style/StyleDiv.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class StyleDiv extends Style {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.ts
index 173d735e8..4b9d4abed 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/DecoratorAccordion.ts
@@ -1,25 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class DecoratorAccordion extends Component implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.ts
index e272c73a2..8434c5286 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/decorator/style/StyleAccordion.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class StyleAccordion extends Style {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/ComponentTable.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/ComponentTable.ts
index baab848f2..660e2b1e7 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/ComponentTable.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/ComponentTable.ts
@@ -1,22 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ComponentTable extends Component implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/style/StyleTable.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/style/StyleTable.ts
index b1e1136ab..dfdd3927f 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/style/StyleTable.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/table/style/StyleTable.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class StyleTable extends Style {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/ComponentText.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/ComponentText.ts
index c3e4639d9..f038aac79 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/ComponentText.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/ComponentText.ts
@@ -1,22 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
-/// 
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class ComponentText extends Component implements Renderable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/style/StyleText.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/style/StyleText.ts
index 9ab6432ce..4ff56b506 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/style/StyleText.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/components/text/style/StyleText.ts
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class StyleText extends Style {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/d3.d.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/d3.d.ts
index eb15577f9..061403574 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/d3.d.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/d3.d.ts
@@ -1,23 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-// Type definitions for d3JS
-// Project: http://d3js.org/
-// Definitions by: Alex Ford , Boris Yankov 
-// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 declare namespace d3 {
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jquery.d.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jquery.d.ts
index 286dac49a..8d6361b6d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jquery.d.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jquery.d.ts
@@ -1,39 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-// Type definitions for jQuery 1.10.x / 2.0.x
-// Project: http://jquery.com/
-// Definitions by: Boris Yankov , Christian Hoffmeister , Steve Fenton , Diullei Gomes , Tass Iliopoulos , Jason Swearingen , Sean Hill , Guus Goossens , Kelly Summerlin , Basarat Ali Syed , Nicholas Wolverson , Derek Cicerone , Andrew Gaspar , James Harrison Fisher , Seikichi Kondo , Benjamin Jackman , Poul Sorensen , Josh Strobl , John Reilly , Dick van den Brink 
-// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
-
-/* *****************************************************************************
-Copyright (c) Microsoft Corporation. All rights reserved.
-Licensed under the Apache License, Version 2.0 (the "License"); you may not use
-this file except in compliance with the License. You may obtain a copy of the
-License at http://www.apache.org/licenses/LICENSE-2.0
-
-THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
-WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
-MERCHANTABLITY OR NON-INFRINGEMENT.
-
-See the Apache Version 2.0 License for specific language governing permissions
-and limitations under the License.
-***************************************************************************** */
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * Interface for the AJAX setting that will configure the AJAX request
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jqueryui.d.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jqueryui.d.ts
index 6b284fa2b..b09aee420 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jqueryui.d.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/typedefs/jqueryui.d.ts
@@ -1,26 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-// Type definitions for jQueryUI 1.9
-// Project: http://jqueryui.com/
-// Definitions by: Boris Yankov , John Reilly 
-// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
-
-
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 declare namespace JQueryUI {
     // Accordion //////////////////////////////////////////////////
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/util/TSUtils.ts b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/util/TSUtils.ts
index 348bfe957..7d997a052 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/util/TSUtils.ts
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/util/TSUtils.ts
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-/// 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 class TSUtils {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestComponentSerialization.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestComponentSerialization.java
index 35ab647e3..3c1b34e15 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestComponentSerialization.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestComponentSerialization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -39,9 +43,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 9/04/2016.
- */
 public class TestComponentSerialization extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestRendering.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestRendering.java
index a697f2617..c3ad694aa 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestRendering.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestRendering.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -42,11 +46,6 @@ import java.util.List;
 import java.util.Random;
 
 
-/**
- * This test: generated a HTML file that you can open to view some example graphs.
- * The generated HTML file should appear in the deeplearning4j-ui-components directory (TestRendering.html)
- * *** NOTE: Open this in IntelliJ: Right click on file -> Open In Browser ***
- */
 public class TestRendering extends BaseDL4JTest {
 
     @Ignore
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestStandAlone.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestStandAlone.java
index 7ba9f9c36..95bd2df96 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestStandAlone.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/test/java/org/deeplearning4j/ui/TestStandAlone.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -29,9 +33,6 @@ import org.junit.Test;
 
 import java.awt.*;
 
-/**
- * Created by Alex on 2/06/2016.
- */
 public class TestStandAlone extends BaseDL4JTest {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/pom.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/pom.xml
index 6e9cdad17..a2bd0595f 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/pom.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/pom.xml
@@ -1,105 +1,91 @@
-
+
+
+
+
 
-
-    
-        deeplearning4j-ui-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        deeplearning4j-ui-parent
+        1.0.0-SNAPSHOT
+    
+
     deeplearning4j-ui-model
-    jar
 
     deeplearning4j-ui-model
 
-    
-        UTF-8
-    
-
     
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-core
             ${project.version}
         
-
-        
-            org.projectlombok
-            lombok
-            ${lombok.version}
-            provided
-        
-
         
         
             org.nd4j
             nd4j-api
             ${nd4j.version}
         
-
         
             org.nd4j
             nd4j-native-api
             ${nd4j.version}
         
-
         
         
             org.agrona
             Agrona
             ${agrona.version}
         
-
         
         
             org.mapdb
             mapdb
             ${mapdb.version}
         
-
         
         
             org.xerial
             sqlite-jdbc
             ${sqlite.version}
         
-
         
         
             javax.annotation
             javax.annotation-api
-            ${javax.version}
+            ${javax.annotation-api.version}
             provided
         
-
         
             junit
             junit
-            test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -116,5 +102,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/activation/PathUpdate.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/activation/PathUpdate.java
index 07852e017..d9cbd2d40 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/activation/PathUpdate.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/activation/PathUpdate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.activation;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/nearestneighbors/word2vec/NearestNeighborsQuery.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/nearestneighbors/word2vec/NearestNeighborsQuery.java
index 483dc5be9..f379dba6d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/nearestneighbors/word2vec/NearestNeighborsQuery.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/nearestneighbors/word2vec/NearestNeighborsQuery.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.nearestneighbors.word2vec;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/renders/PathUpdate.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/renders/PathUpdate.java
index 6d3e630bd..bd2e1cd3d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/renders/PathUpdate.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/renders/PathUpdate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.renders;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/BaseStatsListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/BaseStatsListener.java
index 7e4518d16..e56ad1f67 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/BaseStatsListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/BaseStatsListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats;
 
@@ -51,13 +55,6 @@ import java.lang.management.RuntimeMXBean;
 import java.lang.reflect.Constructor;
 import java.util.*;
 
-/**
- * BaseStatsListener: a general purpose listener for collecting and reporting system and model information.
- * 

- * Serves as a base for different ways of storing the collected data
- *
- * @author Alex Black
- */
 @Slf4j
 public abstract class BaseStatsListener implements RoutingIterationListener {
     public static final String TYPE_ID = "StatsListener";
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/J7StatsListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/J7StatsListener.java
index 5ec194375..dba8a64fc 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/J7StatsListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/J7StatsListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats;
 
@@ -30,14 +34,6 @@ import org.deeplearning4j.ui.model.stats.impl.DefaultStatsUpdateConfiguration;
 import org.deeplearning4j.ui.model.stats.impl.java.JavaStatsInitializationReport;
 import org.deeplearning4j.ui.model.stats.impl.java.JavaStatsReport;
 
-/**
- * J7StatsListener: a version of the {@link StatsListener} but with Java 7 compatibility
- * 

- * Stats are collected and passed on to a {@link StatsStorageRouter} - for example, for storage and/or displaying in the UI,
- * use {@link InMemoryStatsStorage} or {@link FileStatsStorage}.
- *
- * @author Alex Black
- */
 @Slf4j
 public class J7StatsListener extends BaseStatsListener {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/StatsListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/StatsListener.java
index 501bf3609..3f0f5ec96 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/StatsListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/StatsListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats;
 
@@ -30,14 +34,6 @@ import org.deeplearning4j.ui.model.stats.impl.DefaultStatsUpdateConfiguration;
 import org.deeplearning4j.ui.model.stats.impl.SbeStatsInitializationReport;
 import org.deeplearning4j.ui.model.stats.impl.SbeStatsReport;
 
-/**
- * StatsListener: a general purpose listener for collecting and reporting system and model information.
- * 

- * Stats are collected and passed on to a {@link StatsStorageRouter} - for example, for storage and/or displaying in the UI,
- * use {@link InMemoryStatsStorage} or {@link FileStatsStorage}.
- *
- * @author Alex Black
- */
 @Slf4j
 public class StatsListener extends BaseStatsListener {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/Histogram.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/Histogram.java
index 632067e12..2c129388a 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/Histogram.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/Histogram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
@@ -22,14 +26,6 @@ import lombok.NoArgsConstructor;
 
 import java.io.Serializable;
 
-/**
- * Histogram: values for a single histogram.
- * Assumption here is that the N bins are equally split between the min and max.
- * So, for nBins = 3, we have: Step = (max-min)/3.
- * First bin have bounds (min, min + 1 * step); second bin would have bounds (min + 1 * step, min + 2 * step) and so on
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Data
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationConfiguration.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationConfiguration.java
index 2cbd39152..966ca6976 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationConfiguration.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
@@ -20,12 +24,6 @@ import org.deeplearning4j.ui.model.stats.StatsListener;
 
 import java.io.Serializable;
 
-/**
- * Configuration interface for static (unchanging) information, to be reported by {@link StatsListener}.
- * This interface allows for software/hardware/model information to be collected (or, not)
- *
- * @author Alex Black
- */
 public interface StatsInitializationConfiguration extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationReport.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationReport.java
index c0f55d02b..f5ce15b09 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationReport.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsInitializationReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
@@ -21,16 +25,6 @@ import org.deeplearning4j.ui.model.stats.StatsListener;
 
 import java.util.Map;
 
-/**
- * An interface used with {@link StatsListener} for reporting static information.
- * The idea is that this information will be reported only once, at the first call of the StatsListener. Comparatively,
- * the {@link StatsReport} will be used multiple times - every N iterations according to the configuration ({@link StatsUpdateConfiguration}).
- * 

- * Note that the software, hardware and model information may or may not be obtained and reported, depending on the configuration
- * provided by the relevant {@link StatsInitializationConfiguration}
- *
- * @author Alex Black
- */
 public interface StatsInitializationReport extends Persistable {
 
     void reportIDs(String sessionID, String typeID, String workerID, long timestamp);
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsReport.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsReport.java
index 042b40a84..b0d1d42db 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsReport.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
@@ -24,12 +28,6 @@ import java.io.Serializable;
 import java.util.List;
 import java.util.Map;
 
-/**
- * StatsReport: An interface for storing and serializing update information (such as scores, parameter histograms etc) for
- * use in the {@link StatsListener}
- *
- * @author Alex Black
- */
 public interface StatsReport extends Persistable {
 
     void reportIDs(String sessionID, String typeID, String workerID, long timestamp);
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsType.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsType.java
index e0761387b..7e53fd596 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsType.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsType.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
 import org.deeplearning4j.ui.model.stats.StatsListener;
 
-/**
- * Stats type, for use in {@link StatsListener}
- *
- * Note: Gradients are pre-update (i.e., raw gradients - pre-LR/momentum/rmsprop etc), Updates are post update
- *
- * @author Alex Black
- */
 public enum StatsType {
 
     Parameters, Gradients, Updates, Activations
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsUpdateConfiguration.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsUpdateConfiguration.java
index 825bf7a13..56d7758d5 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsUpdateConfiguration.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/StatsUpdateConfiguration.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
 import java.io.Serializable;
 
-/**
- * Similar to {@link StatsInitializationConfiguration}, StatsUpdateConfiguration is an interface defining the stats
- * that should be collected and reported periodically.
- * In some implementations, this configuration may vary over time (i.e., stats may in principle be reconfigured by the user)
- *
- * @author Alex Black
- */
 public interface StatsUpdateConfiguration extends Serializable {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/SummaryType.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/SummaryType.java
index 860286618..48b649103 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/SummaryType.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/api/SummaryType.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.api;
 
 import org.deeplearning4j.ui.model.stats.StatsListener;
 
-/**
- * Summary statistic type, for use in {@link StatsListener}
- *
- * @author Alex Black
- */
 public enum SummaryType {
     Mean, Stdev, MeanMagnitudes
 }
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsInitializationConfiguration.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsInitializationConfiguration.java
index b7c6e816c..677192495 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsInitializationConfiguration.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsInitializationConfiguration.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl;
 
 import lombok.AllArgsConstructor;
 import org.deeplearning4j.ui.model.stats.api.StatsInitializationConfiguration;
 
-/**
- * Created by Alex on 07/10/2016.
- */
 @AllArgsConstructor
 public class DefaultStatsInitializationConfiguration implements StatsInitializationConfiguration {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsUpdateConfiguration.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsUpdateConfiguration.java
index 7a8ee2c6d..50ddb4883 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsUpdateConfiguration.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/DefaultStatsUpdateConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl;
 
@@ -20,9 +24,6 @@ import lombok.AllArgsConstructor;
 import org.deeplearning4j.ui.model.stats.api.StatsType;
 import org.deeplearning4j.ui.model.stats.api.StatsUpdateConfiguration;
 
-/**
- * Created by Alex on 07/10/2016.
- */
 @AllArgsConstructor
 public class DefaultStatsUpdateConfiguration implements StatsUpdateConfiguration {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsInitializationReport.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsInitializationReport.java
index e0996c28a..5b91f7d59 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsInitializationReport.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsInitializationReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl;
 
@@ -32,11 +36,6 @@ import java.nio.ByteBuffer;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * An implementation of {@link StatsInitializationReport} using Simple Binary Encoding (SBE)
- *
- * @author Alex Black
- */
 @Data
 public class SbeStatsInitializationReport implements StatsInitializationReport, AgronaPersistable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsReport.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsReport.java
index fc979f075..39c34a4b9 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsReport.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeStatsReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl;
 
@@ -36,11 +40,6 @@ import java.io.*;
 import java.nio.ByteBuffer;
 import java.util.*;
 
-/**
- * An implementation of {@link StatsReport} using Simple Binary Encoding (SBE)
- *
- * @author Alex Black
- */
 @EqualsAndHashCode
 @ToString
 @Data
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeUtil.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeUtil.java
index 9ffe22aa8..0e38e7799 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeUtil.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/SbeUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl;
 
@@ -20,11 +24,6 @@ import java.io.*;
 import java.nio.charset.Charset;
 import java.util.Map;
 
-/**
- * Utilities for use in {@link SbeStatsInitializationReport} and {@link SbeStatsReport}
- *
- * @author Alex Black
- */
 public class SbeUtil {
 
     public static final Charset UTF8 = Charset.forName("UTF-8");
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsInitializationReport.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsInitializationReport.java
index 709c9c9e3..f28b3f786 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsInitializationReport.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsInitializationReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl.java;
 
@@ -25,10 +29,6 @@ import java.lang.reflect.Field;
 import java.nio.ByteBuffer;
 import java.util.Map;
 
-/**
- * A 'pure java' implementation of {@link StatsInitializationReport}, mainly used for
- * Java 7 compatibility
- */
 @Data
 public class JavaStatsInitializationReport implements StatsInitializationReport {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsReport.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsReport.java
index cacad95c1..373a85147 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsReport.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/impl/java/JavaStatsReport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.stats.impl.java;
 
@@ -35,9 +39,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Created by Alex on 14/12/2016.
- */
 @EqualsAndHashCode
 @ToString
 @Data
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingDecoder.java
index 6b019548a..3c9dd70de 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingEncoder.java
index 8df79dcb1..55d260506 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/GroupSizeEncodingEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.MutableDirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentDecoder.java
index 6d1ab499d..e8dc15f77 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentEncoder.java
index be61eed8a..b0c481c95 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/InitFieldsPresentEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.MutableDirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MemoryType.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MemoryType.java
index 0e326c9a7..8cf844a2d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MemoryType.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MemoryType.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 @javax.annotation.Generated(value = {"org.deeplearning4j.ui.stats.sbe.MemoryType"})
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderDecoder.java
index 0dd8e1025..3524d2229 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderEncoder.java
index e451771a1..42fbfe9ea 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MessageHeaderEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.MutableDirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MetaAttribute.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MetaAttribute.java
index c18fdc990..8b33e4722 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MetaAttribute.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/MetaAttribute.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 @javax.annotation.Generated(value = {"org.deeplearning4j.ui.stats.sbe.MetaAttribute"})
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatSource.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatSource.java
index eb0b99683..9d6dbbe81 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatSource.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatSource.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 @javax.annotation.Generated(value = {"StatSource"})
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatType.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatType.java
index fe078418b..c5aee58cb 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatType.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatType.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 @javax.annotation.Generated(value = {"StatType"})
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoDecoder.java
index d5d14bbbb..e0b17634b 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoEncoder.java
index 59ea3d548..993f716fe 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StaticInfoEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatsType.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatsType.java
index b1d5fd2ab..ee49daaf1 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatsType.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StatsType.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 @javax.annotation.Generated(value = {"org.deeplearning4j.ui.stats.sbe.StatsType"})
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataDecoder.java
index 04526fa0e..9e7fb868c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataEncoder.java
index da0963c56..b7834cff4 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/StorageMetaDataEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/SummaryType.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/SummaryType.java
index 7589a053d..bfb418d9f 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/SummaryType.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/SummaryType.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 @javax.annotation.Generated(value = {"org.deeplearning4j.ui.stats.sbe.SummaryType"})
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateDecoder.java
index c197ca804..869e0c8bb 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateEncoder.java
index 2fa4ea3e5..4e1f56811 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentDecoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentDecoder.java
index 312d2a22a..2658fe4d9 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentDecoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentDecoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentEncoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentEncoder.java
index 6a23981de..8572783e8 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentEncoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/UpdateFieldsPresentEncoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.MutableDirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Decoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Decoder.java
index 37bf222fe..f5c9b7b26 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Decoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Decoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.DirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Encoder.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Encoder.java
index 83cd8b65f..c6da406ea 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Encoder.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/stats/sbe/VarDataUTF8Encoder.java
@@ -1,20 +1,23 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
-/*- Generated SBE (Simple Binary Encoding) message codec */
 package org.deeplearning4j.ui.model.stats.sbe;
 
 import org.agrona.MutableDirectBuffer;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/AgronaPersistable.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/AgronaPersistable.java
index ddeef0792..ea94ffee0 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/AgronaPersistable.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/AgronaPersistable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage;
 
@@ -20,9 +24,6 @@ import org.agrona.DirectBuffer;
 import org.agrona.MutableDirectBuffer;
 import org.deeplearning4j.core.storage.Persistable;
 
-/**
- * Created by Alex on 07/10/2016.
- */
 public interface AgronaPersistable extends Persistable {
 
     void encode(MutableDirectBuffer buffer);
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/BaseCollectionStatsStorage.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/BaseCollectionStatsStorage.java
index ae45a30cc..186d9f11e 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/BaseCollectionStatsStorage.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/BaseCollectionStatsStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage;
 
@@ -24,11 +28,6 @@ import java.io.Serializable;
 import java.util.*;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * An implementation of the {@link StatsStorage} interface, backed by MapDB
- *
- * @author Alex Black
- */
 public abstract class BaseCollectionStatsStorage implements StatsStorage {
 
     protected Set sessionIDs;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/FileStatsStorage.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/FileStatsStorage.java
index 129341bed..5486f1a66 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/FileStatsStorage.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/FileStatsStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage;
 
@@ -20,14 +24,6 @@ import org.deeplearning4j.ui.model.storage.mapdb.MapDBStatsStorage;
 
 import java.io.File;
 
-/**
- * A StatsStorage implementation that stores UI data in a file for persistence.

- * Can be used for multiple instances, and across multiple independent runs. Data can be loaded later in a separate
- * JVM instance by passing the same file location to both.

- * Internally, uses {@link MapDBStatsStorage}
- *
- * @author Alex Black
- */
 public class FileStatsStorage extends MapDBStatsStorage {
 
     private final File file;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/InMemoryStatsStorage.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/InMemoryStatsStorage.java
index 893de4465..76f00ef2b 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/InMemoryStatsStorage.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/InMemoryStatsStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage;
 
@@ -26,12 +30,6 @@ import java.io.IOException;
 import java.util.*;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * A StatsStorage implementation that stores all data in memory. If persistence is required for the UI information,
- * use {@link FileStatsStorage} or {@link MapDBStatsStorage}.
- *
- * @author Alex Black
- */
 public class InMemoryStatsStorage extends BaseCollectionStatsStorage {
     private final String uid;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/JavaStorageMetaData.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/JavaStorageMetaData.java
index 7c64d5985..c2f6ac706 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/JavaStorageMetaData.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/JavaStorageMetaData.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage.impl;
 
@@ -25,9 +29,6 @@ import java.io.*;
 import java.lang.reflect.Field;
 import java.nio.ByteBuffer;
 
-/**
- * Created by Alex on 14/12/2016.
- */
 @Data
 public class JavaStorageMetaData implements StorageMetaData {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueuePairStatsStorageListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueuePairStatsStorageListener.java
index 2895104b4..e419015d3 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueuePairStatsStorageListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueuePairStatsStorageListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage.impl;
 
@@ -24,12 +28,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Queue;
 
-/**
- * A very simple {@link StatsStorageListener}, that adds the {@link StatsStorageEvent} instances and the specified
- * {@link StatsStorage} instance (i.e., the source) to the specified queue for later processing.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class QueuePairStatsStorageListener implements StatsStorageListener {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueueStatsStorageListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueueStatsStorageListener.java
index 313bdf8b5..6f6381a48 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueueStatsStorageListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/QueueStatsStorageListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage.impl;
 
@@ -22,12 +26,6 @@ import org.deeplearning4j.core.storage.StatsStorageListener;
 
 import java.util.Queue;
 
-/**
- * A very simple {@link StatsStorageListener}, that adds the {@link StatsStorageEvent} instances to a provided queue
- * for later processing.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 public class QueueStatsStorageListener implements StatsStorageListener {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/SbeStorageMetaData.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/SbeStorageMetaData.java
index 66654e20a..4038b2c4a 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/SbeStorageMetaData.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/impl/SbeStorageMetaData.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage.impl;
 
@@ -35,11 +39,6 @@ import java.io.OutputStream;
 import java.io.Serializable;
 import java.nio.ByteBuffer;
 
-/**
- * SbeStorageMetaData: stores information about a given session: for example, the types of the static and update information.
- *
- * @author Alex Black
- */
 @Data
 public class SbeStorageMetaData implements StorageMetaData, AgronaPersistable {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/mapdb/MapDBStatsStorage.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/mapdb/MapDBStatsStorage.java
index 4ac703501..b7a2fecf9 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/mapdb/MapDBStatsStorage.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/mapdb/MapDBStatsStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage.mapdb;
 
@@ -34,12 +38,6 @@ import java.util.Map;
 import java.util.concurrent.locks.Lock;
 import java.util.concurrent.locks.ReentrantLock;
 
-/**
- * An implementation of the {@link StatsStorage} interface, backed by MapDB (in-memory or file).

- * See also {@link InMemoryStatsStorage} and {@link FileStatsStorage}
- *
- * @author Alex Black
- */
 public class MapDBStatsStorage extends BaseCollectionStatsStorage {
 
     private static final String COMPOSITE_KEY_HEADER = "&&&";
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/sqlite/J7FileStatsStorage.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/sqlite/J7FileStatsStorage.java
index 5f33c6e01..06a03ecb6 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/sqlite/J7FileStatsStorage.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/storage/sqlite/J7FileStatsStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.storage.sqlite;
 
@@ -26,15 +30,6 @@ import java.io.*;
 import java.sql.*;
 import java.util.*;
 
-/**
- * A Java 7 compatible file-based {@link StatsStorage} implementation, based on SQLite.
- * Note: Where possible, use {@link FileStatsStorage} which should be faster (is based
- * on MapDB).
- * Obviously, the storage formats for J7FileStatsStorage and {@link FileStatsStorage} are
- * incompatible.
- *
- * @author Alex Black
- */
 public class J7FileStatsStorage implements StatsStorage {
 
     private static final String TABLE_NAME_METADATA = "StorageMetaData";
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/ConvolutionListenerPersistable.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/ConvolutionListenerPersistable.java
index fa06cad27..c33fe9c7b 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/ConvolutionListenerPersistable.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/ConvolutionListenerPersistable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.weights;
 
@@ -26,9 +30,6 @@ import java.awt.image.BufferedImage;
 import java.io.*;
 import java.nio.ByteBuffer;
 
-/**
- * Created by Alex on 24/10/2016.
- */
 @AllArgsConstructor
 @Data
 public class ConvolutionListenerPersistable implements Persistable {
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/HistogramBin.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/HistogramBin.java
index c7e045dcc..106a72057 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/HistogramBin.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/HistogramBin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.weights;
 
@@ -29,9 +33,6 @@ import java.util.LinkedHashMap;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 public class HistogramBin implements Serializable {
     private transient INDArray sourceArray;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/beans/CompactModelAndGradient.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/beans/CompactModelAndGradient.java
index f1442850b..5a52f0dce 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/beans/CompactModelAndGradient.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/java/org/deeplearning4j/ui/model/weights/beans/CompactModelAndGradient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.model.weights.beans;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/resources/StatsListenerSchemas.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/resources/StatsListenerSchemas.xml
index 88e76be27..534af876e 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/resources/StatsListenerSchemas.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-model/src/main/resources/StatsListenerSchemas.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/pom.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/pom.xml
index c807b7a46..aa75528fe 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/pom.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/pom.xml
@@ -1,40 +1,45 @@
 
-
+
 
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        deeplearning4j-ui-parent
         org.deeplearning4j
+        deeplearning4j-ui-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-ui-standalone
 
-    
-        
-            test-nd4j-native
-        
-        
-            test-nd4j-cuda-11.0
-        
-    
+    
+        
+            org.deeplearning4j
+            deeplearning4j-ui
+            ${deeplearning4j.version}
+        
+    
 
     
         
@@ -54,11 +59,14 @@
                         
                         
                             
-                                
+                                
                                     reference.conf
                                 
-                                
-                                
+                                
+                                
                                     org.deeplearning4j.ui.play.PlayUIServer
                                 
                             
@@ -131,12 +139,12 @@
         
     
 
-    
-        
-            org.deeplearning4j
-            deeplearning4j-ui
-            ${deeplearning4j.version}
-        
-    
-
+    
+        
+            test-nd4j-native
+        
+        
+            test-nd4j-cuda-11.0
+        
+    
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/src/main/resources/logback.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/src/main/resources/logback.xml
index 2283bdc50..abdb5d940 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/src/main/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-standalone/src/main/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/pom.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/pom.xml
index f24bf9109..4454adda8 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/pom.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/pom.xml
@@ -1,39 +1,51 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-ui-parent
         org.deeplearning4j
+        deeplearning4j-ui-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-ui
 
     deeplearning4j-ui
 
+    
+        1.8
+        1.8
+    
+
     
         
             org.deeplearning4j
             deeplearning4j-vertx
             ${project.version}
         
-
         
             commons-io
             commons-io
@@ -44,11 +56,9 @@
             deeplearning4j-nlp
             ${project.version}
         
-
         
             junit
             junit
-            test
         
         
             org.deeplearning4j
@@ -70,20 +80,4 @@
             test-nd4j-cuda-11.0
         
     
-
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
-
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/main/java/org/deeplearning4j/ui/weights/ConvolutionalIterationListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/main/java/org/deeplearning4j/ui/weights/ConvolutionalIterationListener.java
index 87444f214..d3680f43a 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/main/java/org/deeplearning4j/ui/weights/ConvolutionalIterationListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/main/java/org/deeplearning4j/ui/weights/ConvolutionalIterationListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.weights;
 
@@ -48,9 +52,6 @@ import java.io.PrintWriter;
 import java.util.*;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ConvolutionalIterationListener extends BaseTrainingListener {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ApiTest.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ApiTest.java
index 3474d7d71..7c54c27a4 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ApiTest.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ApiTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ManualTests.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ManualTests.java
index c45e5c509..4f6e1f8b1 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ManualTests.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/ManualTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -76,13 +80,6 @@ import java.util.UUID;
 
 import static org.junit.Assert.fail;
 
-/**
- * Test environment for building/debugging UI.
- *
- * Please, do NOT remove @Ignore annotation
- *
- * @author raver119@gmail.com
- */
 @Ignore
 @Slf4j
 public class ManualTests {
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/HistogramBinTest.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/HistogramBinTest.java
index 3794d0ce9..1db17c0a2 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/HistogramBinTest.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/HistogramBinTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.weights;
 
@@ -26,9 +30,6 @@ import java.math.BigDecimal;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * @author raver119@gmail.com
- */
 public class HistogramBinTest {
 
     @Before
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/TestConvolutionalListener.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/TestConvolutionalListener.java
index af1f02801..d44bb3496 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/TestConvolutionalListener.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/java/org/deeplearning4j/ui/weights/TestConvolutionalListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.weights;
 
@@ -35,9 +39,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * Created by Alex on 08/10/2016.
- */
 public class TestConvolutionalListener {
 
     @Test
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/log4j.properties b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/log4j.properties
index 56592ce91..68050a7d2 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/log4j.properties
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/log4j.properties
@@ -1,19 +1,23 @@
 
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 log4j.rootLogger=ERROR, Console
 log4j.appender.Console=org.apache.log4j.ConsoleAppender
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/logback.xml
index 9baf66a0d..7680a6b95 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/pom.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/pom.xml
index 835e77fe0..b7924d582 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/pom.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/pom.xml
@@ -1,95 +1,95 @@
 
-
+
 
-    
-        deeplearning4j-ui-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
     4.0.0
 
+    
+        org.deeplearning4j
+        deeplearning4j-ui-parent
+        1.0.0-SNAPSHOT
+    
+
     deeplearning4j-vertx
 
+    
+        1.8
+        1.8
+    
+
     
         
             io.vertx
             vertx-core
             ${vertx.version}
         
-
         
             io.vertx
             vertx-web
             ${vertx.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-core
             ${project.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-ui-model
             ${project.version}
         
-
         
             ch.qos.logback
             logback-classic
             test
         
-
         
             org.freemarker
             freemarker
             ${freemarker.version}
         
-
         
             com.beust
             jcommander
             ${jcommander.version}
         
-
-
         
             jakarta.xml.bind
             jakarta.xml.bind-api
             2.3.2
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
             ${project.version}
             test
         
-
         
         
             org.webjars.npm
             babel__polyfill
             7.4.4
         
-
         
             org.webjars.npm
             coreui__coreui
@@ -116,11 +116,9 @@
             popper.js
             1.12.9
         
-
         
             org.webjars.npm
             bootstrap
-            4.3.1
         
         
             org.webjars
@@ -208,7 +206,6 @@
             weaverjs
             1.2.0
         
-
         
             org.webjars
             retinajs
@@ -269,7 +266,6 @@
             jquery-ui-touch-punch
             0.2.2
         
-
         
             org.webjars
             d3js
@@ -285,7 +281,6 @@
             github-com-jboesch-Gritter
             1.7.4
         
-
         
         
             org.webjars.bowergithub.stenin-nikita
@@ -302,7 +297,6 @@
             bootstrap-glyphicons
             bdd2cbfba0
         
-
         
         
             org.webjars.npm
@@ -334,14 +328,12 @@
                 regenerator-runtime
                 0.13.2
             
-
             
             
                 org.webjars.npm
                 bootstrap
                 4.3.1
             
-
             
             
                 org.webjars.npm
@@ -353,17 +345,12 @@
                 lodash.debounce
                 4.0.8
             
-
-
             
             
                 org.webjars.npm
                 graphlib
                 2.1.7
             
-
-
-
             
                 org.webjars.bower
                 cytoscape
@@ -437,21 +424,6 @@
         
     
 
-    
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
-    
-
     
         
             test-nd4j-native
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/VertxUIServer.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/VertxUIServer.java
index 56a3f2e63..21b77bab2 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/VertxUIServer.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/VertxUIServer.java
@@ -1,18 +1,22 @@
-    /* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+    /*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -369,7 +373,7 @@ public class VertxUIServer extends AbstractVerticle implements UIServer {
 
         //Check port property
         int port = instancePort == null ? DEFAULT_UI_PORT : instancePort;
-        String portProp = System.getenv(DL4JSystemProperties.UI_SERVER_PORT_PROPERTY);
+        String portProp = System.getProperty(DL4JSystemProperties.UI_SERVER_PORT_PROPERTY);
         if(portProp != null && !portProp.isEmpty()){
             try{
                 port = Integer.parseInt(portProp);
@@ -378,6 +382,10 @@ public class VertxUIServer extends AbstractVerticle implements UIServer {
             }
         }
 
+	if (port < 0 || port > 0xFFFF) {
+            throw new IllegalStateException("Valid port range is 0 <= port <= 65535. The given port was " + port);
+        }
+
         uiEventRoutingThread = new Thread(new StatsEventRouterRunnable());
         uiEventRoutingThread.setDaemon(true);
         uiEventRoutingThread.start();
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/HttpMethod.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/HttpMethod.java
index 7230d63b6..1f5392435 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/HttpMethod.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/HttpMethod.java
@@ -1,27 +1,25 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
-/**
- * Enumeration for the type of HTTP method. Mainly used in specifying {@link Route} instances
- *
- * @author Alex Black
- */
 public enum HttpMethod {
     GET, PUT, POST
 }
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/I18N.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/I18N.java
index 3ec6f186c..db85f4060 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/I18N.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/I18N.java
@@ -1,37 +1,27 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
 import java.util.Map;
 
-/**
- * Interface to handle user interface internationalization.
- * Internationalization support is bulit into Play framework, but this doesn't seem to function with a Java + Maven
- * embedded server like we are using here.

- * 

- * Basic idea: UI messages are available by specifying 2 values:

- * (a) The ISO 639-1 language code, as a String ("en", "fr", "ja" etc)

- * (b) A key for the message. For example, "index.home.title" or "histogram.nav.home"

- * 

- * See https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
- *
- * @author Alex Black
- */
 public interface I18N {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/Route.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/Route.java
index e209c8b54..586faca8c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/Route.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/Route.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
@@ -24,11 +27,6 @@ import lombok.Data;
 import java.util.List;
 import java.util.function.*;
 
-/**
- * A Route specifies an endpoint that can be queried in the UI - along with how it should be handled
- *
- * @author Alex Black
- */
 @Data
 @AllArgsConstructor
 public class Route {
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIModule.java
index 0a2ca40c3..7f3db0979 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIModule.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
@@ -24,20 +27,6 @@ import org.deeplearning4j.ui.i18n.I18NResource;
 import java.util.Collection;
 import java.util.List;
 
-/**
- * UIModule encapsulates the user interface functionality for a page or group of pages that rely on data coming
- * from a {@link StatsStorage} instance.

- * When a {@link StatsStorage} object is attached to a {@link UIServer}, the UI server will
- * start receiving {@link StatsStorageEvent} instances; some of these (only the appropriate ones based on the specified
- * TypeIDs from the {@link #getCallbackTypeIDs()} method) will be routed to the UIModule, via {@link #reportStorageEvents(Collection)}.
- * Each UIModule will generally handle one (or at most a few) different types of data (Type IDs); note however that events
- * for a single Type ID can be routed to multiple UI modules, if required.
- * 

- * The UIModule also encapsulates the relevant routing information: i.e., what GET/PUT (etc) methods are available for this
- * module, and how those methods should be handled.
- *
- * @author Alex Black
- */
 public interface UIModule {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIServer.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIServer.java
index 56b049f6f..f0cb3a29c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIServer.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/api/UIServer.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.api;
 
@@ -27,11 +30,6 @@ import org.nd4j.common.function.Function;
 
 import java.util.List;
 
-/**
- * Interface for user interface server
- *
- * @author Alex Black
- */
 public interface UIServer {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/DefaultI18N.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/DefaultI18N.java
index 2dd768b07..25af6684e 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/DefaultI18N.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/DefaultI18N.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.i18n;
 
@@ -28,23 +31,6 @@ import java.io.InputStream;
 import java.nio.charset.StandardCharsets;
 import java.util.*;
 
-/**
- * Default internationalization implementation.

- * Content for internationalization is implemented using resource files.

- * For the resource files: they should be specified as follows:

- * 1. In the /dl4j_i18n/ directory in resources

- * 2. Filenames should be "somekey.langcode" - for example, "index.en" or "index.ja"

- * 3. Each key should be unique across all files. Any key can appear in any file; files may be split for convenience

- * 

- * Loading of these UI resources is done as follows:

- * - On initialization of the DefaultI18N:

- *   - Resource files for the default language are loaded

- * - If a different language is requested, the content will be loaded on demand (and stored in memory for future use)

- * Note that if a specified language does not have the specified key, the result from the defaultfallback language (English)
- * will be used instead.
- *
- * @author Alex Black
- */
 @Slf4j
 public class DefaultI18N implements I18N {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NProvider.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NProvider.java
index 73adab7d7..15ddbca99 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NProvider.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NProvider.java
@@ -1,30 +1,28 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.i18n;
 
 import org.deeplearning4j.ui.api.I18N;
 
 
-/**
- * Returns the currently used I18N (Internationalization) class
- *
- * @author Alex Black
- */
 public class I18NProvider {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NResource.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NResource.java
index 119dba718..713e2a72c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NResource.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/i18n/I18NResource.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.i18n;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/SameDiffModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/SameDiffModule.java
index ed187f366..1f6aeee9c 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/SameDiffModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/SameDiffModule.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.module;
 
@@ -27,9 +31,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Created by Alex on 25/10/2016.
- */
 public class SameDiffModule implements UIModule {
 
     public SameDiffModule() {
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/convolutional/ConvolutionalListenerModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/convolutional/ConvolutionalListenerModule.java
index 6818e5492..ad73c9a3f 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/convolutional/ConvolutionalListenerModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/convolutional/ConvolutionalListenerModule.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.module.convolutional;
 
@@ -39,11 +42,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Used for plotting results from the ConvolutionalIterationListener
- *
- * @author Alex Black
- */
 @Slf4j
 public class ConvolutionalListenerModule implements UIModule {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/defaultModule/DefaultModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/defaultModule/DefaultModule.java
index 7c637b5dd..8253523b7 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/defaultModule/DefaultModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/defaultModule/DefaultModule.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit, KK.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.module.defaultModule;
 
@@ -28,10 +32,6 @@ import java.util.Collection;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Landing page - i.e., "/" route
- * @author Alex Black
- */
 public class DefaultModule implements UIModule {
     private final boolean multiSession;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/remote/RemoteReceiverModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/remote/RemoteReceiverModule.java
index 1f5040991..dd0ea2bf0 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/remote/RemoteReceiverModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/remote/RemoteReceiverModule.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.deeplearning4j.ui.module.remote;
@@ -37,15 +40,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- *
- * Used to receive UI updates remotely.
- * Used in conjunction with {@link RemoteUIStatsStorageRouter}, which posts to the UI.
- * UI information is then deserialized and routed to the specified StatsStorageRouter, which may (or may not)
- * be attached to the UI
- *
- * @author Alex Black
- */
 @Slf4j
 public class RemoteReceiverModule implements UIModule {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModule.java
index 8bde827f5..3accef9a2 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModule.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.module.train;
 
@@ -72,11 +75,6 @@ import java.util.*;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Main DL4J Training UI
- *
- * @author Alex Black
- */
 @Slf4j
 public class TrainModule implements UIModule {
     public static final double NAN_REPLACEMENT_VALUE = 0.0; //UI front-end chokes on NaN in JSON
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModuleUtils.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModuleUtils.java
index ce60efb90..f90fb1f24 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModuleUtils.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/train/TrainModuleUtils.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.module.train;
 
@@ -31,12 +34,6 @@ import org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer;
 
 import java.util.*;
 
-/**
- *
- * Utility methods for {@link TrainModule}
- *
- * @author Alex Black
- */
 public class TrainModuleUtils {
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/tsne/TsneModule.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/tsne/TsneModule.java
index 96029e01f..4dfce73db 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/tsne/TsneModule.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/java/org/deeplearning4j/ui/module/tsne/TsneModule.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui.module.tsne;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule
index 548b33f41..ae919e65f 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/META-INF/services/org.deeplearning4j.ui.api.UIModule
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/samediff/samediff.css b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/samediff/samediff.css
index f5cdd1aae..8065d4714 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/samediff/samediff.css
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/samediff/samediff.css
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 
 html, body {height: 100%; }
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/style.css b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/style.css
index 242590804..61a340326 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/style.css
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/css/style.css
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 
 .app-header {
     background: #080808;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/counter.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/counter.js
index 70cf556ce..5e58bc17b 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/counter.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/counter.js
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 (function($) {
     $.fn.countTo = function(options) {
         // merge the default plugin settings with the custom options
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/flatbuffers-utils.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/flatbuffers-utils.js
index ade2b2ade..f1afa6cfa 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/flatbuffers-utils.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/flatbuffers-utils.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 function extractHeaders(/*Uint8Array*/ bytes, offset){
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/array_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/array_generated.js
index 8a2b644e6..e5a737b85 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/array_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/array_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/config_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/config_generated.js
index 9ca0cccd1..093851187 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/config_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/config_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/graph_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/graph_generated.js
index 29911e63a..184dccff5 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/graph_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/graph_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/node_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/node_generated.js
index a7b2e264f..4807d30e0 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/node_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/node_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/properties_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/properties_generated.js
index 60ffe427d..e3e1426d4 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/properties_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/properties_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/request_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/request_generated.js
index f2bddc61e..98930a58f 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/request_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/request_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/result_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/result_generated.js
index 23995803a..4cf13ebd8 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/result_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/result_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphevents_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphevents_generated.js
index 7d52224a8..f6a7f4117 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphevents_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphevents_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphstatic_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphstatic_generated.js
index c05088d1a..b3aac3973 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphstatic_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/uigraphstatic_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/utils_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/utils_generated.js
index 7a8dcd520..9c0a86628 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/utils_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/utils_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/variable_generated.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/variable_generated.js
index 3f128e4fc..a95a23219 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/variable_generated.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/generated/variable_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-graph.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-graph.js
index 45b87faba..bd1cbae30 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-graph.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-graph.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-plots.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-plots.js
index f1e7c1239..ef8115a0d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-plots.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-plots.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 function renderLineChart(/*jquery selector*/ element, label, xDataArray, yDataArray ){
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-ui.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-ui.js
index 5a5d89be6..af80171aa 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-ui.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/samediff/samediff-ui.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 function toggleSidebar(){
     $('#samediffsidebar').toggleClass('sidebarhidden');
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-graph.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-graph.js
index 4116ae6f5..05606ffda 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-graph.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-graph.js
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 function renderModelGraph(){
     getSessionSettings(function(){
         var modelGraphUrl = multiSession ? "/train/" + currSession + "/model/graph" : "/train/model/graph";
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-layers.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-layers.js
index 783021356..75da389a2 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-layers.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model-layers.js
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 $(function () { // on dom ready
 
     $('#layers').cytoscape({
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model.js
index ec58ce5d7..f555ba8ca 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/model.js
@@ -1,4 +1,24 @@
 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 var selectedVertex = -1;
 function setSelectedVertex(vertex){
     selectedVertex = vertex;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/overview.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/overview.js
index 05c1ccace..d34564672 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/overview.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/overview.js
@@ -1,4 +1,23 @@
-/* ---------- Variances chart selection ---------- */
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 var selectedChart = "stdevActivations";
 function selectStdevChart(fieldName) {
     selectedChart = fieldName;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/system.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/system.js
index 8c88a3840..734525904 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/system.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/system.js
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 selectMachine(); //Make machineID Global
 
 var lastUpdateTimeSystem = -1;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/train.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/train.js
index 1ef0a65a7..cea46ea7d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/train.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/js/train/train.js
@@ -1,4 +1,24 @@
 
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 function languageSelect(languageCode, redirect){
     //language code: iso639 code
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/common.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/common.js
index 696803978..abec31ff1 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/common.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/common.js
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 function buildSessionSelector(event) {
     buildSessionSelector2("/sessions?event=",event);
 }
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/jquery-fileupload.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/jquery-fileupload.js
index 51293e82c..00f25ebc9 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/jquery-fileupload.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/jquery-fileupload.js
@@ -1,16 +1,23 @@
-/**
- * fileUpload
- * http://abandon.ie
- *
- * Plugin to add file uploads to jQuery ajax form submit
- *
- * November 2013
- *
- * @version 0.9
- * @author Abban Dunne http://abandon.ie
- * @license MIT
- *
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
+
 ;(function($, window, document, undefined)
 {
     // Create the defaults once
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/render.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/render.js
index 8d6f7fc92..f129590db 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/render.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/render.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 var x = [];
 var y = [];
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/renderTsne.js b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/renderTsne.js
index 4b69dcff7..2dd33f303 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/renderTsne.js
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/renderTsne.js
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 var height = 700;
 var width = 1024;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/roboto.css b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/roboto.css
index a6b0248e1..a7030dc80 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/roboto.css
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/deeplearning4jUiAssets/legacy/roboto.css
@@ -1,4 +1,23 @@
-/* cyrillic-ext */
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 @font-face {
   font-family: 'Roboto';
   font-style: normal;
@@ -6,7 +25,6 @@
   src: local('Roboto Light'), local('Roboto-Light'), url(http://fonts.gstatic.com/s/roboto/v15/0eC6fl06luXEYWpBSJvXCBJtnKITppOI_IvcXXDNrsc.woff2) format('woff2');
   unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
 }
-/* cyrillic */
 @font-face {
   font-family: 'Roboto';
   font-style: normal;
@@ -54,7 +72,6 @@
   src: local('Roboto Light'), local('Roboto-Light'), url(http://fonts.gstatic.com/s/roboto/v15/Hgo13k-tfSpn0qi1SFdUfVtXRa8TVwTICgirnJhmVJw.woff2) format('woff2');
   unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2212, U+2215, U+E0FF, U+EFFD, U+F000;
 }
-/* cyrillic-ext */
 @font-face {
   font-family: 'Roboto';
   font-style: normal;
@@ -62,7 +79,6 @@
   src: local('Roboto'), local('Roboto-Regular'), url(http://fonts.gstatic.com/s/roboto/v15/ek4gzZ-GeXAPcSbHtCeQI_esZW2xOQ-xsNqO47m55DA.woff2) format('woff2');
   unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
 }
-/* cyrillic */
 @font-face {
   font-family: 'Roboto';
   font-style: normal;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/Activations.html b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/Activations.html
index 547615b79..fd836aa56 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/Activations.html
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/Activations.html
@@ -1,20 +1,24 @@
-
+
 
-
+
 
 
     
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/SameDiffUI.html b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/SameDiffUI.html
index 1d29f7827..951aabeb5 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/SameDiffUI.html
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/SameDiffUI.html
@@ -1,20 +1,24 @@
-
+
 
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingModel.html.ftl b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingModel.html.ftl
index af302e14d..859aae287 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingModel.html.ftl
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingModel.html.ftl
@@ -1,13 +1,16 @@
 
 
 
 
+
 
     
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingSystem.html.ftl b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingSystem.html.ftl
index 569fc02b4..f4c366c71 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingSystem.html.ftl
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/main/resources/templates/TrainingSystem.html.ftl
@@ -1,13 +1,16 @@
 
 
 
 
-
+
 
 
     
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestRemoteReceiver.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestRemoteReceiver.java
index b173f1a8c..2ab861b76 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestRemoteReceiver.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestRemoteReceiver.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -48,9 +51,6 @@ import java.util.List;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by Alex on 10/11/2016.
- */
 @Ignore
 public class TestRemoteReceiver extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestSameDiffUI.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestSameDiffUI.java
index 7401874d3..d46e26818 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestSameDiffUI.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestSameDiffUI.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -68,8 +71,8 @@ public class TestSameDiffUI extends BaseDL4JTest {
         lfw.registerEventName("accuracy");
         lfw.registerEventName("precision");
         long t = System.currentTimeMillis();
-        for( int iter=0; iter<50; iter++) {
-            double d = Math.cos(0.1*iter);
+        for( int iter = 0; iter < 50; iter++) {
+            double d = Math.cos(0.1 * iter);
             d *= d;
             lfw.writeScalarEvent("accuracy", LogFileWriter.EventSubtype.EVALUATION, t + iter, iter, 0, d);
 
@@ -81,7 +84,7 @@ public class TestSameDiffUI extends BaseDL4JTest {
         lfw.registerEventName("histogramDiscrete");
         lfw.registerEventName("histogramEqualSpacing");
         lfw.registerEventName("histogramCustomBins");
-        for( int i=0; i<3; i++ ){
+        for(int i = 0; i < 3; i++) {
             INDArray discreteY = Nd4j.createFromArray(0, 1, 2);
             lfw.writeHistogramEventDiscrete("histogramDiscrete", LogFileWriter.EventSubtype.TUNING_METRIC,  t+i, i, 0, Arrays.asList("zero", "one", "two"), discreteY);
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUI.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUI.java
index 2ed7e1b74..526d8c25e 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUI.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUI.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
@@ -60,9 +63,6 @@ import java.util.concurrent.atomic.AtomicReference;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by Alex on 08/10/2016.
- */
 @Slf4j
 @Ignore
 public class TestVertxUI extends BaseDL4JTest {
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIManual.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIManual.java
index 7fb0a041e..9d68a773b 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIManual.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIManual.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.ui;
 
 import io.netty.handler.codec.http.HttpResponseStatus;
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIMultiSession.java b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIMultiSession.java
index 0f3f50d41..32c92dd85 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIMultiSession.java
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/java/org/deeplearning4j/ui/TestVertxUIMultiSession.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.ui;
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/resources/logback.xml b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/resources/logback.xml
index 9baf66a0d..7680a6b95 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/resources/logback.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/deeplearning4j-ui-parent/pom.xml b/deeplearning4j/deeplearning4j-ui-parent/pom.xml
index 947a28783..a48f7c43d 100644
--- a/deeplearning4j/deeplearning4j-ui-parent/pom.xml
+++ b/deeplearning4j/deeplearning4j-ui-parent/pom.xml
@@ -1,41 +1,39 @@
 
-
+
+
+
+
+    4.0.0
 
-
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     deeplearning4j-ui-parent
     pom
 
-
-    
-        
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-            
-        
-    
     
         deeplearning4j-ui
         deeplearning4j-ui-components
@@ -52,5 +50,4 @@
             test-nd4j-cuda-11.0
         
     
-
 
diff --git a/deeplearning4j/deeplearning4j-zoo/pom.xml b/deeplearning4j/deeplearning4j-zoo/pom.xml
index ea431ebd9..5d26ea0b2 100644
--- a/deeplearning4j/deeplearning4j-zoo/pom.xml
+++ b/deeplearning4j/deeplearning4j-zoo/pom.xml
@@ -1,77 +1,74 @@
 
-
+
 
 
-    
-        deeplearning4j-parent
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
     4.0.0
 
+    
+        org.deeplearning4j
+        deeplearning4j-parent
+        1.0.0-SNAPSHOT
+    
+
     deeplearning4j-zoo
-    jar
 
     
         
             org.slf4j
-            slf4j-api          
+            slf4j-api
         
-
         
             org.nd4j
             nd4j-api
             ${nd4j.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-nn
             ${project.version}
         
-
         
             org.deeplearning4j
             deeplearning4j-common
             ${project.version}
         
-
         
         
             junit
-            junit          
-            test
+            junit
         
-
         
             ch.qos.logback
-            logback-classic 
+            logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-core
             ${deeplearning4j.version}
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -88,6 +85,4 @@
             test-nd4j-cuda-11.0
         
     
-
-
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/InstantiableModel.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/InstantiableModel.java
index deda8b67f..6045f7ca1 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/InstantiableModel.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/InstantiableModel.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
 import org.deeplearning4j.nn.api.Model;
 
-/**
- * Interface for defining a model that can be instantiated and return
- * information about itself.
- */
 public interface InstantiableModel {
 
     void setInputShape(int[][] inputShape);
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ModelMetaData.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ModelMetaData.java
index 78fe5e0af..397899c29 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ModelMetaData.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ModelMetaData.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
 import lombok.AllArgsConstructor;
 import lombok.Getter;
 
-/**
- * Metadata describing a model, including input shapes. This is helpful for instantiating
- * the model programmatically and ensuring appropriate inputs are used.
- *
- * @deprecated As of May 10, 2018. Will be removed in v1.1. Getters are now available on the inputShape from the ZooModel implementation.
- */
 @Getter
 @AllArgsConstructor
 @Deprecated
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/PretrainedType.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/PretrainedType.java
index 0bb140101..219d17401 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/PretrainedType.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/PretrainedType.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
-/**
- * Enumerator for choosing different models, and different types of models.
- */
 public enum PretrainedType {
     IMAGENET, IMAGENETLARGE, MNIST, CIFAR10, VGGFACE, SEGMENT
 }
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooModel.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooModel.java
index 61b59b325..c39de9dbb 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooModel.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooModel.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
@@ -31,12 +35,6 @@ import java.net.URL;
 import java.util.zip.Adler32;
 import java.util.zip.Checksum;
 
-/**
- * A zoo model is instantiable, returns information about itself, and can download
- * pretrained models if available.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public abstract class ZooModel implements InstantiableModel {
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooType.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooType.java
index 9259bf063..222d556c5 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooType.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/ZooType.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
-/**
- * Enumerator for choosing different models, and different types of models.
- */
 public enum ZooType {
     CNN, RNN, TEXTGENLSTM
 }
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/AlexNet.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/AlexNet.java
index 41ddb7874..b65441942 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/AlexNet.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/AlexNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -35,22 +39,6 @@ import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 
-/**
- * AlexNet
- *
- * Dl4j's AlexNet model interpretation based on the original paper ImageNet Classification with Deep Convolutional Neural Networks
- * and the imagenetExample code referenced.
- *

- * References:

- * http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
- * https://github.com/BVLC/caffe/blob/master/models/bvlc_alexnet/train_val.prototxt
- *
- * Model is built in dl4j based on available functionality and notes indicate where there are gaps waiting for enhancements.
- *
- * Bias initialization in the paper is 1 in certain layers but 0.1 in the imagenetExample code
- * Weight distribution uses 0.1 std for all layers in the paper but 0.005 in the dense layers in the imagenetExample code
- *
- */
 @AllArgsConstructor
 @Builder
 public class AlexNet extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Darknet19.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Darknet19.java
index 67f49b24c..739493bd8 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Darknet19.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Darknet19.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -38,21 +42,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import static org.deeplearning4j.zoo.model.helper.DarknetHelper.addLayers;
 
-/**
- * Darknet19

- *  Reference: https://arxiv.org/pdf/1612.08242.pdf
- * 

- * 
ImageNet weights for this model are available and have been converted from https://pjreddie.com/darknet/imagenet/
- * using https://github.com/allanzelener/YAD2K .

- *
- * There are 2 pretrained models, one for 224x224 images and one fine-tuned for 448x448 images.
- * Call setInputShape() with either {3, 224, 224} or {3, 448, 448} before initialization.
- * The channels of the input images need to be in RGB order (not BGR), with values normalized within [0, 1].
- * The output labels are as per 
- *     https://github.com/pjreddie/darknet/blob/master/data/imagenet.shortnames.list .
- *
- * @author saudet
- */
 @AllArgsConstructor
 @Builder
 public class Darknet19 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/FaceNetNN4Small2.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/FaceNetNN4Small2.java
index 4d511e3c0..487401625 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/FaceNetNN4Small2.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/FaceNetNN4Small2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -38,14 +42,6 @@ import org.nd4j.linalg.learning.config.Adam;
 import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * A variant of the original FaceNet model that relies on embeddings and triplet loss.
- * Reference: https://arxiv.org/abs/1503.03832

- * Also based on the OpenFace implementation: 
- *     http://reports-archive.adm.cs.cmu.edu/anon/2016/CMU-CS-16-118.pdf
- *
- * Revised and consolidated version by @crockpotveggies
- */
 @AllArgsConstructor
 @Builder
 public class FaceNetNN4Small2 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/InceptionResNetV1.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/InceptionResNetV1.java
index 45570f2b8..50f14da0b 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/InceptionResNetV1.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/InceptionResNetV1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -40,14 +44,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.learning.config.RmsProp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * A variant of the original FaceNet model that relies on embeddings and triplet loss.

- * Reference: https://arxiv.org/abs/1503.03832

- * Also based on the OpenFace implementation: 
- * http://reports-archive.adm.cs.cmu.edu/anon/2016/CMU-CS-16-118.pdf
- *
- * Revised and consolidated version by @crockpotveggies
- */
 @AllArgsConstructor
 @Builder
 public class InceptionResNetV1 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/LeNet.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/LeNet.java
index 8a59741b1..64a6f8c92 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/LeNet.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/LeNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -39,17 +43,6 @@ import org.nd4j.linalg.learning.config.AdaDelta;
 import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * LeNet was an early promising achiever on the ImageNet dataset.
- * References:

- * - http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf

- * - https://github.com/BVLC/caffe/blob/master/examples/mnist/lenet.prototxt

- *
- * 
MNIST weights for this model are available and have been converted from https://github.com/f00-/mnist-lenet-keras.

- *
- * @author kepricon
- * @author Justin Long (crockpotveggies)
- */
 @AllArgsConstructor
 @Builder
 public class LeNet extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/NASNet.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/NASNet.java
index 40a839830..0e78f819e 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/NASNet.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/NASNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -39,21 +43,6 @@ import org.nd4j.common.primitives.Pair;
 import static org.deeplearning4j.zoo.model.helper.NASNetHelper.normalA;
 import static org.deeplearning4j.zoo.model.helper.NASNetHelper.reductionA;
 
-/**
- * U-Net
- *
- * Implementation of NASNet-A in Deeplearning4j. NASNet refers to Neural Architecture Search Network, a family of models
- * that were designed automatically by learning the model architectures directly on the dataset of interest.
- *
- * 
This implementation uses 1056 penultimate filters and an input shape of (3, 224, 224). You can change this.

- *
- * 
Paper: https://arxiv.org/abs/1707.07012

- * 
ImageNet weights for this model are available and have been converted from https://keras.io/applications/.

- *
- * @note If using the IMAGENETLARGE weights, the input shape is (3, 331, 331).
- * @author Justin Long (crockpotveggies)
- *
- */
 @AllArgsConstructor
 @Builder
 public class NASNet extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/ResNet50.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/ResNet50.java
index 2d8056eda..2453bb21c 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/ResNet50.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/ResNet50.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -41,14 +45,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.learning.config.RmsProp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * Residual networks for deep learning.
- *
- * 
Paper: https://arxiv.org/abs/1512.03385

- * 
ImageNet weights for this model are available and have been converted from https://keras.io/applications/.

- *
- * @author Justin Long (crockpotveggies)
- */
 @AllArgsConstructor
 @Builder
 public class ResNet50 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SimpleCNN.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SimpleCNN.java
index a8301387b..17f22d1f4 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SimpleCNN.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SimpleCNN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -34,12 +38,6 @@ import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.learning.config.AdaDelta;
 import org.nd4j.linalg.learning.config.IUpdater;
 
-/**
- * A simple convolutional network for generic image classification.
- * Reference: https://github.com/oarriaga/face_classification/
- *
- * @author Justin Long (crockpotveggies)
- */
 @AllArgsConstructor
 @Builder
 public class SimpleCNN extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SqueezeNet.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SqueezeNet.java
index 209e61d2c..2f77a2d4c 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SqueezeNet.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/SqueezeNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -40,18 +44,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import java.io.IOException;
 
-/**
- * U-Net
- *
- * An implementation of SqueezeNet. Touts similar accuracy to AlexNet with a fraction of the parameters.
- *
- * 
Paper: https://arxiv.org/abs/1602.07360

- * 
ImageNet weights for this model are available and have been converted from https://github.com/rcmalli/keras-squeezenet/.

- *
- * @note Pretrained ImageNet weights are "special". Output shape is (1,1000,1,1).
- * @author Justin Long (crockpotveggies)
- *
- */
 @AllArgsConstructor
 @Builder
 public class SqueezeNet extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TextGenerationLSTM.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TextGenerationLSTM.java
index 11243443b..9751db1a7 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TextGenerationLSTM.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TextGenerationLSTM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -36,18 +40,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.learning.config.RmsProp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * LSTM designed for text generation. Can be trained on a corpus of text. For this model, numClasses is
- * used to input {@code totalUniqueCharacters} for the LSTM input layer.
- *
- * Architecture follows this implementation: 
- *     https://github.com/fchollet/keras/blob/master/examples/lstm_text_generation.py
- *
- * 
Walt Whitman weights are available for generating text from his works, adapted from 
- *     https://github.com/craigomac/InfiniteMonkeys.

- *
- * @author Justin Long (crockpotveggies)
- */
 @AllArgsConstructor
 @Builder
 public class TextGenerationLSTM extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TinyYOLO.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TinyYOLO.java
index 760cba553..abbdf06cf 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TinyYOLO.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/TinyYOLO.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -42,50 +46,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 
 import static org.deeplearning4j.zoo.model.helper.DarknetHelper.addLayers;
 
-/**
- * Tiny YOLO
- *  Reference: https://arxiv.org/pdf/1612.08242.pdf
- *
- * 
ImageNet+VOC weights for this model are available and have been converted from https://pjreddie.com/darknet/yolo/
- * using https://github.com/allanzelener/YAD2K and the following code.

- *
- * 
{@code
- *     String filename = "tiny-yolo-voc.h5";
- *     ComputationGraph graph = KerasModelImport.importKerasModelAndWeights(filename, false);
- *     INDArray priors = Nd4j.create(priorBoxes);
- *
- *     FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder()
- *             .seed(seed)
- *             .iterations(iterations)
- *             .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
- *             .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer)
- *             .gradientNormalizationThreshold(1.0)
- *             .updater(new Adam.Builder().learningRate(1e-3).build())
- *             .l2(0.00001)
- *             .activation(Activation.IDENTITY)
- *             .trainingWorkspaceMode(workspaceMode)
- *             .inferenceWorkspaceMode(workspaceMode)
- *             .build();
- *
- *     ComputationGraph model = new TransferLearning.GraphBuilder(graph)
- *             .fineTuneConfiguration(fineTuneConf)
- *             .addLayer("outputs",
- *                     new Yolo2OutputLayer.Builder()
- *                             .boundingBoxPriors(priors)
- *                             .build(),
- *                     "conv2d_9")
- *             .setOutputs("outputs")
- *             .build();
- *
- *     System.out.println(model.summary(InputType.convolutional(416, 416, 3)));
- *
- *     ModelSerializer.writeModel(model, "tiny-yolo-voc_dl4j_inference.v1.zip", false);
- *}

- *
- * The channels of the 416x416 input images need to be in RGB order (not BGR), with values normalized within [0, 1].
- *
- * @author saudet
- */
 @AllArgsConstructor
 @Builder
 public class TinyYOLO extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/UNet.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/UNet.java
index 4e481655c..ca8136f62 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/UNet.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/UNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -37,20 +41,6 @@ import org.nd4j.linalg.learning.config.AdaDelta;
 import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * U-Net
- *
- * An implementation of U-Net, a deep learning network for image segmentation in Deeplearning4j.
- * The u-net is convolutional network architecture for fast and precise segmentation of images.
- * Up to now it has outperformed the prior best method (a sliding-window convolutional network) on the ISBI challenge for
- * segmentation of neuronal structures in electron microscopic stacks.
- *
- * 
Paper: https://arxiv.org/abs/1505.04597

- * 
Weights are available for image segmentation trained on a synthetic dataset

- *
- * @author Justin Long (crockpotveggies)
- *
- */
 @AllArgsConstructor
 @Builder
 public class UNet extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG16.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG16.java
index b42312b9e..c52d8988d 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG16.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG16.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -40,22 +44,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * VGG-16, from Very Deep Convolutional Networks for Large-Scale Image Recognition
- * https://arxiv.org/abs/1409.1556

- * 

- * Deep Face Recognition

- * http://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15/parkhi15.pdf
- *
- * 
ImageNet weights for this model are available and have been converted from 
- *     https://github.com/fchollet/keras/tree/1.1.2/keras/applications.

- * 
CIFAR-10 weights for this model are available and have been converted using "approach 2" from 
- *     https://github.com/rajatvikramsingh/cifar10-vgg16.

- * 
VGGFace weights for this model are available and have been converted from 
- *     https://github.com/rcmalli/keras-vggface.

- *
- * @author Justin Long (crockpotveggies)
- */
 @AllArgsConstructor
 @Builder
 public class VGG16 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG19.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG19.java
index 40bd6f658..ee2bb0725 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG19.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/VGG19.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -39,15 +43,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * VGG-19, from Very Deep Convolutional Networks for Large-Scale Image Recognition

- * https://arxiv.org/abs/1409.1556
- * 

- * 
ImageNet weights for this model are available and have been converted from 
- *     https://github.com/fchollet/keras/tree/1.1.2/keras/applications.

- *
- * @author Justin Long (crockpotveggies)
- */
 @AllArgsConstructor
 @Builder
 public class VGG19 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Xception.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Xception.java
index 0e4b4845d..4c851fa08 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Xception.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/Xception.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -39,19 +43,6 @@ import org.nd4j.linalg.learning.config.AdaGrad;
 import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * U-Net
- *
- * An implementation of Xception in Deeplearning4j. A novel deep convolutional neural network architecture inspired by
- * Inception, where Inception modules have been replaced with depthwise separable convolutions.
- *
- * 
Paper: https://arxiv.org/abs/1610.02357

- * 
ImageNet weights for this model are available and have been converted from 
- *     https://keras.io/applications/.

- *
- * @author Justin Long (crockpotveggies)
- *
- */
 @AllArgsConstructor
 @Builder
 public class Xception extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/YOLO2.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/YOLO2.java
index f82f86528..030a5c46b 100755
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/YOLO2.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/YOLO2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model;
 
@@ -44,50 +48,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 
 import static org.deeplearning4j.zoo.model.helper.DarknetHelper.addLayers;
 
-/**
- * YOLOv2
- *  Reference: https://arxiv.org/pdf/1612.08242.pdf
- *
- * 
ImageNet+COCO weights for this model are available and have been converted from https://pjreddie.com/darknet/yolo/
- * using https://github.com/allanzelener/YAD2K and the following code.

- *
- * 
{@code
- *     String filename = "yolo.h5";
- *     KerasLayer.registerCustomLayer("Lambda", KerasSpaceToDepth.class);
- *     ComputationGraph graph = KerasModelImport.importKerasModelAndWeights(filename, false);
- *     INDArray priors = Nd4j.create(priorBoxes);
- *
- *     FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder()
- *             .seed(seed)
- *             .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
- *             .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer)
- *             .gradientNormalizationThreshold(1.0)
- *             .updater(new Adam.Builder().learningRate(1e-3).build())
- *             .l2(0.00001)
- *             .activation(Activation.IDENTITY)
- *             .trainingWorkspaceMode(workspaceMode)
- *             .inferenceWorkspaceMode(workspaceMode)
- *             .build();
- *
- *     ComputationGraph model = new TransferLearning.GraphBuilder(graph)
- *             .fineTuneConfiguration(fineTuneConf)
- *             .addLayer("outputs",
- *                     new Yolo2OutputLayer.Builder()
- *                             .boundingBoxPriors(priors)
- *                             .build(),
- *                     "conv2d_23")
- *             .setOutputs("outputs")
- *             .build();
- *
- *     System.out.println(model.summary(InputType.convolutional(608, 608, 3)));
- *
- *     ModelSerializer.writeModel(model, "yolo2_dl4j_inference.v1.zip", false);
- *}

- *
- * The channels of the 608x608 input images need to be in RGB order (not BGR), with values normalized within [0, 1].
- *
- * @author saudet
- */
 @AllArgsConstructor
 @Builder
 public class YOLO2 extends ZooModel {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/DarknetHelper.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/DarknetHelper.java
index 3d23a00a5..db55d2731 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/DarknetHelper.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/DarknetHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model.helper;
 
@@ -29,11 +33,6 @@ import org.deeplearning4j.zoo.model.YOLO2;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.activations.impl.ActivationLReLU;
 
-/**
- * Contains functionality shared by {@link Darknet19}, {@link TinyYOLO}, and {@link YOLO2}.
- *
- * @author saudet
- */
 public class DarknetHelper {
 
     /** Returns {@code inputShape[1] / 32}, where {@code inputShape[1]} should be a multiple of 32. */
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/FaceNetHelper.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/FaceNetHelper.java
index d93c450dc..f6b23b2e3 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/FaceNetHelper.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/FaceNetHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model.helper;
 
@@ -21,19 +25,6 @@ import org.deeplearning4j.nn.conf.graph.MergeVertex;
 import org.deeplearning4j.nn.conf.layers.*;
 import org.nd4j.linalg.activations.Activation;
 
-/**
- * Inception is based on GoogleLeNet configuration of convolutional layers for optimization of
- * resources and learning. You can use this module to add Inception to your own custom models.
- * 

- * The GoogleLeNet paper: https://arxiv.org/abs/1409.4842

- * 

- * This module is based on the Inception GraphBuilderModule built for Torch and
- * a Scala implementation of GoogleLeNet.

- * https://github.com/Element-Research/dpnn/blob/master/Inception.lua

- * https://gist.github.com/antikantian/f77e91f924614348ea8f64731437930d
- *
- * @author Justin Long (crockpotveggies)
- */
 public class FaceNetHelper {
 
     public static String getModuleName() {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/InceptionResNetHelper.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/InceptionResNetHelper.java
index cb4231d6a..85009dde4 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/InceptionResNetHelper.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/InceptionResNetHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model.helper;
 
@@ -26,19 +30,6 @@ import org.deeplearning4j.nn.conf.layers.BatchNormalization;
 import org.deeplearning4j.nn.conf.layers.ConvolutionLayer;
 import org.nd4j.linalg.activations.Activation;
 
-/**
- * Inception is based on GoogleLeNet configuration of convolutional layers for optimization of
- * resources and learning. You can use this module to add Inception to your own custom models.
- * 

- * The GoogleLeNet paper: https://arxiv.org/abs/1409.4842
- * 

- * This module is based on the Inception-ResNet paper that combined residual shortcuts with
- * Inception-style networks: https://arxiv.org/abs/1602.07261
- *
- * Revised and consolidated. Likely needs further tuning for specific applications.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class InceptionResNetHelper {
 
     public static String nameLayer(String blockName, String layerName, int i) {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/NASNetHelper.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/NASNetHelper.java
index 1b6a1063a..eb84edd51 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/NASNetHelper.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/model/helper/NASNetHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.model.helper;
 
@@ -30,11 +34,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Map;
 
-/**
- * Layer helpers {@link NASNet}.
- *
- * @author Justin Long (crockpotveggies)
- */
 public class NASNetHelper {
 
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/BaseLabels.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/BaseLabels.java
index bcca7c1b1..5e1d283ac 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/BaseLabels.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/BaseLabels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util;
 
@@ -29,11 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Scanner;
 
-/**
- * Base functionality for helper classes that return label descriptions.
- *
- * @author saudet
- */
 public abstract class BaseLabels implements Labels {
 
     protected ArrayList labels;
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/ClassPrediction.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/ClassPrediction.java
index b6ec8a21f..398b82a01 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/ClassPrediction.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/ClassPrediction.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 
-/**
- * ClassPrediction: a prediction for classification, used with a {@link Labels} class.
- * Holds class number, label description, and the prediction probability.
- *
- * @author saudet
- */
 @AllArgsConstructor
 @Data
 public class ClassPrediction {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/Labels.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/Labels.java
index c14f207bd..dbe367e6b 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/Labels.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/Labels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.List;
 
-/**
- * Interface to helper classes that return label descriptions.
- *
- * @author saudet
- */
 public interface Labels {
 
     /**
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/COCOLabels.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/COCOLabels.java
index c5f91bf54..28433c86f 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/COCOLabels.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/COCOLabels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util.darknet;
 
@@ -23,11 +27,6 @@ import java.io.IOException;
 import java.net.MalformedURLException;
 import java.net.URL;
 
-/**
- * Helper class that returns label descriptions for YOLO models trained with COCO.
- *
- * @author saudet
- */
 public class COCOLabels extends BaseLabels {
 
     public COCOLabels() throws IOException {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/DarknetLabels.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/DarknetLabels.java
index b15b82848..5d9f91a96 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/DarknetLabels.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/DarknetLabels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util.darknet;
 
@@ -25,11 +29,6 @@ import java.net.URL;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Helper class that returns label descriptions for Darknet models trained with ImageNet.
- *
- * @author saudet
- */
 public class DarknetLabels extends BaseLabels {
 
     private boolean shortNames;
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/VOCLabels.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/VOCLabels.java
index 1e4c76e98..e12d8b02e 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/VOCLabels.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/darknet/VOCLabels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util.darknet;
 
@@ -23,11 +27,6 @@ import java.io.IOException;
 import java.net.MalformedURLException;
 import java.net.URL;
 
-/**
- * Helper class that returns label descriptions for YOLO models trained with Pascal VOC.
- *
- * @author saudet
- */
 public class VOCLabels extends BaseLabels {
 
     public VOCLabels() throws IOException {
diff --git a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/imagenet/ImageNetLabels.java b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/imagenet/ImageNetLabels.java
index 9006b99c7..95bd3ef57 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/imagenet/ImageNetLabels.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/main/java/org/deeplearning4j/zoo/util/imagenet/ImageNetLabels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo.util.imagenet;
 
@@ -30,11 +34,6 @@ import java.net.URL;
 import java.util.ArrayList;
 import java.util.HashMap;
 
-/**
- * Helper class with a static method that returns the label description.
- *
- * @author susaneraly
- */
 public class ImageNetLabels extends BaseLabels {
 
     private static final String jsonResource = "imagenet_class_index.json";
diff --git a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/MiscTests.java b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/MiscTests.java
index 9dea6629a..a1d25b3e8 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/MiscTests.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/MiscTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestDownload.java b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestDownload.java
index b45afe47a..9cb6b08ba 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestDownload.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestDownload.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
@@ -39,12 +43,6 @@ import java.util.Map;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Tests downloads and checksum verification.
- *
- * @note This test uses a temporary directory, so local model copies won't be impacted
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class TestDownload extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestImageNet.java b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestImageNet.java
index 9106bede3..382e4f5cf 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestImageNet.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestImageNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
@@ -49,11 +53,6 @@ import static org.bytedeco.opencv.global.opencv_imgproc.COLOR_BGR2RGB;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Tests ImageNet utilities.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class TestImageNet extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestInstantiation.java b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestInstantiation.java
index d70137775..3896f860b 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestInstantiation.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestInstantiation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
@@ -47,11 +51,6 @@ import static junit.framework.TestCase.assertTrue;
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assume.assumeTrue;
 
-/**
- * Tests workflow for zoo model instantiation.
- *
- * @author Justin Long (crockpotveggies)
- */
 @Slf4j
 public class TestInstantiation extends BaseDL4JTest {
 
diff --git a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestUtils.java b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestUtils.java
index a59b12f13..8a457dfef 100644
--- a/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestUtils.java
+++ b/deeplearning4j/deeplearning4j-zoo/src/test/java/org/deeplearning4j/zoo/TestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.zoo;
 
diff --git a/deeplearning4j/dl4j-integration-tests/pom.xml b/deeplearning4j/dl4j-integration-tests/pom.xml
index e8d958cf1..a8240c828 100644
--- a/deeplearning4j/dl4j-integration-tests/pom.xml
+++ b/deeplearning4j/dl4j-integration-tests/pom.xml
@@ -1,27 +1,31 @@
 
-
+
 
 
-    
+
     
-        deeplearning4j-parent
         org.deeplearning4j
+        deeplearning4j-parent
         1.0.0-SNAPSHOT
     
 
@@ -29,11 +33,15 @@
 
     dl4j-integration-tests
 
+    
+        1.8
+        1.8
+    
+
     
         
             org.slf4j
-            slf4j-api
-                      
+            slf4j-api
         
         
             org.nd4j
@@ -58,17 +66,13 @@
         
         
             junit
-            junit
-                      
-            test
+            junit
         
         
             ch.qos.logback
-            logback-classic
-             
+            logback-classic
             test
         
-
         
             org.deeplearning4j
             deeplearning4j-common-tests
@@ -101,18 +105,6 @@
                 
             
         
-        
-            
-                
-                    org.apache.maven.plugins
-                    maven-compiler-plugin
-                    
-                        1.8
-                        1.8
-                    
-                
-            
-        
     
 
     
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestBaselineGenerator.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestBaselineGenerator.java
index 51caaf21f..d9198ecfb 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestBaselineGenerator.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestBaselineGenerator.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration;
 
@@ -51,10 +54,6 @@ import java.util.stream.Collectors;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Run this manually to generate - or update - the saved files for a specific test.
- * Places results in dl4j-test-resources: assumes you have the dl4j-test-resources cloned parallel to the DL4J mono-repo.
- */
 @Slf4j
 public class IntegrationTestBaselineGenerator {
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestRunner.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestRunner.java
index 5d35fdeb6..516f7cf83 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestRunner.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestRunner.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration;
 
@@ -76,12 +79,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.Assert.*;
 
-/**
- * Integration test runner.
- * Used to run the integration tests defined in the IntegrationTests class
- *
- * @author Alex Black
- */
 @Slf4j
 public class IntegrationTestRunner {
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsDL4J.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsDL4J.java
index 11a2189d8..ea6672e3b 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsDL4J.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsDL4J.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsSameDiff.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsSameDiff.java
index de5bc0ea1..f1bb83922 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsSameDiff.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/IntegrationTestsSameDiff.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.integration;
 
 import org.deeplearning4j.BaseDL4JTest;
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/ModelType.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/ModelType.java
index cb47cc229..c830ea4f5 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/ModelType.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/ModelType.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.integration;
 
 public enum ModelType {
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestCase.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestCase.java
index ab1347699..b2d76f04a 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestCase.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestCase.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration;
 
@@ -30,9 +33,6 @@ import java.io.File;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A single test case for integration tests
- */
 @Data
 public abstract class TestCase {
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestUtils.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestUtils.java
index 72e51cd92..c566400fc 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestUtils.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/TestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN1DTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN1DTestCases.java
index e30adc52b..4ecc4dd2a 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN1DTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN1DTestCases.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN2DTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN2DTestCases.java
index baebf6b45..8b5cf6358 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN2DTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN2DTestCases.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN3DTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN3DTestCases.java
index f22237faa..4c8448c63 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN3DTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/CNN3DTestCases.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/MLPTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/MLPTestCases.java
index a2f86477e..9a58e5138 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/MLPTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/MLPTestCases.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/RNNTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/RNNTestCases.java
index de9209c23..c67546a23 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/RNNTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/RNNTestCases.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/UnsupervisedTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/UnsupervisedTestCases.java
index f10dff828..574e3be2d 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/UnsupervisedTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/UnsupervisedTestCases.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j;
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/misc/CharacterIterator.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/misc/CharacterIterator.java
index 110bfb731..a7be40676 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/misc/CharacterIterator.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/dl4j/misc/CharacterIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.testcases.dl4j.misc;
 
@@ -30,18 +34,6 @@ import java.nio.charset.Charset;
 import java.nio.file.Files;
 import java.util.*;
 
-/**
- * A simple DataSetIterator for use in the GravesLSTMCharModellingExample.
- * Given a text file and a few options, generate feature vectors and labels for training,
- * where we want to predict the next character in the sequence.

- * This is done by randomly choosing a position in the text file, at offsets of 0, exampleLength, 2*exampleLength, etc
- * to start each sequence. Then we convert each character to an index, i.e., a one-hot vector.
- * Then the character 'a' becomes [1,0,0,0,...], 'b' becomes [0,1,0,0,...], etc
- * 

- * Feature vectors and labels are both one-hot vectors of same length
- *
- * @author Alex Black
- */
 public class CharacterIterator implements DataSetIterator {
     //Valid characters
     private char[] validCharacters;
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffCNNCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffCNNCases.java
index 81b1b87ff..98ec32dd0 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffCNNCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffCNNCases.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.integration.testcases.samediff;
 
 import org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator;
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffMLPTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffMLPTestCases.java
index 3f7dda540..b45bf5a37 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffMLPTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffMLPTestCases.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.integration.testcases.samediff;
 
 import org.datavec.api.records.reader.RecordReader;
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffRNNTestCases.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffRNNTestCases.java
index 9e2890455..b163acd3d 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffRNNTestCases.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/testcases/samediff/SameDiffRNNTestCases.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.integration.testcases.samediff;
 
 import org.datavec.api.records.reader.SequenceRecordReader;
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/util/CountingMultiDataSetIterator.java b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/util/CountingMultiDataSetIterator.java
index bd82ce61c..55762a156 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/util/CountingMultiDataSetIterator.java
+++ b/deeplearning4j/dl4j-integration-tests/src/test/java/org/deeplearning4j/integration/util/CountingMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.integration.util;
 
@@ -23,12 +27,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * A simple iterator that counts the expected number of parameter updates.
- * Accounts for TBPTT (i.e., multiple updates per MultiDataSet) if used
- *
- * @author Alex Black
- */
 @Data
 public class CountingMultiDataSetIterator implements MultiDataSetIterator {
 
diff --git a/deeplearning4j/dl4j-integration-tests/src/test/resources/logback-test.xml b/deeplearning4j/dl4j-integration-tests/src/test/resources/logback-test.xml
index 69246755b..6be67561e 100644
--- a/deeplearning4j/dl4j-integration-tests/src/test/resources/logback-test.xml
+++ b/deeplearning4j/dl4j-integration-tests/src/test/resources/logback-test.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/deeplearning4j/pom.xml b/deeplearning4j/pom.xml
index e121e305d..acd187417 100644
--- a/deeplearning4j/pom.xml
+++ b/deeplearning4j/pom.xml
@@ -1,33 +1,36 @@
 
-
-
+
 
 
 
+    4.0.0
+
     
         org.deeplearning4j
         deeplearning4j
         1.0.0-SNAPSHOT
     
 
-    4.0.0
-
     org.deeplearning4j
     deeplearning4j-parent
     pom
@@ -36,93 +39,12 @@
     http://deeplearning4j.org/
     DeepLearning for java
 
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        
-            agibsonccc
-            Adam Gibson
-            adam@skymind.io
-        
-        
-            chrisvnicholson
-            Chris Nicholson
-            chris@skymind.io
-        
-        
-            jpatanooga
-            Josh Patterson
-        
-        
-            AlexDBlack
-            Alex Black
-        
-        
-            nyghtowl
-            Melanie Warrick
-        
-        
-            raver119
-            Vyacheslav Kokorin
-        
-        
-            saudet
-            Samuel Audet
-        
-        
-            eraly
-            Susan Eraly
-        
-        
-            kepricon
-            Daehyun Kim
-        
-        
-        
-            smarthi
-            Suneel Marthi
-        
-        
-            taisukeoe
-            Taisuke Oe
-        
-        
-            treo
-            Paul Dubs
-        
-        
-            EronWright
-            Eron Wright
-        
-        
-            jyt109
-            Jeffrey Tang
-        
-        
-            sonaliii
-            Sonali Dayal
-        
-        
-            emmjaykay
-            emmjaykay
-        
-        
-            crockpotveggies
-            Justin Long
-        
-    
 
     
         scm:git://github.com:deeplearning4j/deeplearning4j.git
-        scm:git:git@github.com:deeplearning4j/deeplearning4j.git
+        scm:git:git@github.com:eclipse/deeplearning4j.git
         
-        git@github.com:deeplearning4j/deeplearning4j.git
+        git@github.com:eclipse/deeplearning4j.git
         HEAD
     
 
@@ -142,7 +64,6 @@
         deeplearning4j-manifold
         dl4j-integration-tests
         deeplearning4j-common
-        deeplearning4j-remote
         deeplearning4j-common-tests
     
 
@@ -235,11 +156,9 @@
                 
             
             
+                org.apache.maven.plugins
                 maven-compiler-plugin
             
-            
-                maven-source-plugin
-            
             
                 com.lewisd
                 lint-maven-plugin
@@ -268,9 +187,7 @@
             
                 net.revelc.code.formatter
                 formatter-maven-plugin
-                ${maven-formatter-plugin.version}
                 
-                    ${session.executionRootDirectory}/contrib/formatter.xml
                     
                         deeplearning4j-core
                         deeplearning4j-scaleout
@@ -291,80 +208,16 @@
             
                 pl.project13.maven
                 git-commit-id-plugin
-                ${maven-git-commit-id-plugin.version}
-                
-                    
-                        
-                            revision
-                        
-                        generate-resources
-                    
-                
-                
-                    true
-                    
-                        ${project.basedir}/target/generated-sources/src/main/resources/ai/skymind/${project.groupId}-${project.artifactId}-git.properties
-                    
-                    
-                        true
-                    
-                
             
             
             
                 org.codehaus.mojo
                 build-helper-maven-plugin
-                ${maven-build-helper-plugin.version}
-                
-                    
-                        add-resource
-                        generate-resources
-                        
-                            add-resource
-                        
-                        
-                            
-                                
-                                    
-                                        ${project.basedir}/target/generated-sources/src/main/resources
-                                    
-                                
-                            
-                        
-                    
-                
             
         
 
         
             
-                
-                    maven-javadoc-plugin
-                    ${maven-javadoc-plugin.version}
-                    
-                        -Xdoclint:none
-                    
-                    
-                        
-                            attach-javadocs
-                            
-                                jar
-                            
-                        
-                    
-                
-                
-                    maven-source-plugin
-                    ${maven-source-plugin.version}
-                    
-                        
-                            attach-sources
-                            
-                                jar
-                            
-                        
-                    
-                
                 
                     maven-surefire-plugin
                     ${maven-surefire-plugin.version}
@@ -373,7 +226,7 @@
                         
-                        -Psonatype-oss-release -DskipTests ${arguments}
-                        true
-                        false
-                    
-                
-                
-                    maven-gpg-plugin
-                    1.6
-                    
-                        ${gpg.passphrase}
-                    
-                    
-                        
-                            sign-artifacts
-                            verify
-                            
-                                sign
-                            
-                        
-                    
-                
-                
-                    maven-compiler-plugin
-                    ${maven-compiler-plugin.version}
-                    
-                        1.7
-                        1.7
-                    
-                
-
                 
                     org.eclipse.m2e
                     lifecycle-mapping
-                    ${maven-lifecycle-mapping-plugin.version}
-                    
-                        
-                            
-                                
-                                    
-                                        com.lewisd
-                                        lint-maven-plugin
-                                        [0.0.11,)
-                                        
-                                            check
-                                        
-                                    
-                                    
-                                        
-                                    
-                                
-                            
-                        
-                    
                 
             
         
@@ -521,19 +318,4 @@
             
         
     
-
-    
-        
-            
-                maven-surefire-report-plugin
-                ${maven-surefire-plugin.version}
-            
-            
-            
-                org.codehaus.mojo
-                cobertura-maven-plugin
-                2.7
-            
-        
-    
 
diff --git a/diff.txt b/diff.txt
new file mode 100644
index 000000000..557262399
--- /dev/null
+++ b/diff.txt
@@ -0,0 +1,782 @@
+2874,2876d2873
+< deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/target/classes/templates/TrainingModel.html.ftl
+< deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/target/classes/templates/TrainingOverview.html.ftl
+< deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-vertx/target/classes/templates/TrainingSystem.html.ftl
+3171,3185d3167
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpu_features_cache_info.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpu_features_macros.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpuinfo_aarch64.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpuinfo_arm.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpuinfo_mips.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpuinfo_ppc.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/cpuinfo_x86.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/bit_utils.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/cpuid_x86.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/filesystem.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/hwcaps.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/stack_line_reader.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/string_view.h
+< libnd4j/blasbuild/cpu/cpu_features-src/include/internal/unix_features_aggregator.h
+< libnd4j/blasbuild/cpu/cpu_features-src/LICENSE
+3188,3211d3169
+< libnd4j/blasbuild/cpu/cpu_features-src/src/cpuinfo_aarch64.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/cpuinfo_arm.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/cpuinfo_mips.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/cpuinfo_ppc.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/cpuinfo_x86.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/filesystem.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/hwcaps.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/stack_line_reader.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/string_view.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/unix_features_aggregator.c
+< libnd4j/blasbuild/cpu/cpu_features-src/src/utils/list_cpu_features.c
+< libnd4j/blasbuild/cpu/cpu_features-src/test/bit_utils_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/cpuinfo_aarch64_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/cpuinfo_arm_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/cpuinfo_mips_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/cpuinfo_ppc_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/cpuinfo_x86_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/filesystem_for_testing.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/filesystem_for_testing.h
+< libnd4j/blasbuild/cpu/cpu_features-src/test/hwcaps_for_testing.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/hwcaps_for_testing.h
+< libnd4j/blasbuild/cpu/cpu_features-src/test/stack_line_reader_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/string_view_test.cc
+< libnd4j/blasbuild/cpu/cpu_features-src/test/unix_features_aggregator_test.cc
+3215,3216d3172
+< libnd4j/blasbuild/cpu/flatbuffers-src/android/jni/include.mk
+< libnd4j/blasbuild/cpu/flatbuffers-src/android/jni/main.cpp
+3220,3221d3175
+< libnd4j/blasbuild/cpu/flatbuffers-src/CMake/BuildFlatBuffers.cmake
+< libnd4j/blasbuild/cpu/flatbuffers-src/CMake/FindFlatBuffers.cmake
+3226d3179
+< libnd4j/blasbuild/cpu/flatbuffers-src/conan/test_package/test_package.cpp
+3230,3231d3182
+< libnd4j/blasbuild/cpu/flatbuffers-src/dart/example/example.dart
+< libnd4j/blasbuild/cpu/flatbuffers-src/dart/LICENSE
+3239d3189
+< libnd4j/blasbuild/cpu/flatbuffers-src/grpc/flatbuffers-java-grpc/src/main/java/com/google/flatbuffers/grpc/FlatbuffersUtils.java
+3241,3244d3190
+< libnd4j/blasbuild/cpu/flatbuffers-src/grpc/src/compiler/java_generator.cc
+< libnd4j/blasbuild/cpu/flatbuffers-src/grpc/src/compiler/java_generator.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/grpc/tests/grpctest.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/grpc/tests/JavaGrpcTest.java
+3247,3263d3192
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/code_generators.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/flatbuffers.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/flatc.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/flexbuffers.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/grpc.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/hash.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/idl.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/minireflect.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/reflection.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/registry.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/stl_emulation.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/include/flatbuffers/util.h
+< libnd4j/blasbuild/cpu/flatbuffers-src/java/com/google/flatbuffers/ByteBufferUtil.java
+< libnd4j/blasbuild/cpu/flatbuffers-src/java/com/google/flatbuffers/Constants.java
+< libnd4j/blasbuild/cpu/flatbuffers-src/java/com/google/flatbuffers/FlatBufferBuilder.java
+< libnd4j/blasbuild/cpu/flatbuffers-src/java/com/google/flatbuffers/Struct.java
+< libnd4j/blasbuild/cpu/flatbuffers-src/java/com/google/flatbuffers/Table.java
+3265,3279d3193
+< libnd4j/blasbuild/cpu/flatbuffers-src/LICENSE.txt
+< libnd4j/blasbuild/cpu/flatbuffers-src/lobster/flatbuffers.lobster
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/ByteBuffer.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/ByteBufferUtil.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/FlatBufferBuilder.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/FlatBufferConstants.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/IFlatbufferObject.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/Offset.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/Struct.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/net/FlatBuffers/Table.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/php/ByteBuffer.php
+< libnd4j/blasbuild/cpu/flatbuffers-src/php/Constants.php
+< libnd4j/blasbuild/cpu/flatbuffers-src/php/FlatbufferBuilder.php
+< libnd4j/blasbuild/cpu/flatbuffers-src/php/Struct.php
+< libnd4j/blasbuild/cpu/flatbuffers-src/php/Table.php
+3291d3204
+< libnd4j/blasbuild/cpu/flatbuffers-src/reflection/generate_code.bat
+3305,3306d3217
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/android/jni/main.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/android/jni/schemas/animal.fbs
+3317,3319d3227
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/sample_binary.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/sample_binary.go
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/sample_binary.lobster
+3322,3325d3229
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/sample_text.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/sample_text.lobster
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/SampleBinary.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/SampleBinary.java
+3327d3230
+< libnd4j/blasbuild/cpu/flatbuffers-src/samples/SampleBinary.php
+3329,3349d3231
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/code_generators.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/flatc.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/flatc_main.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/flathash.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_cpp.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_dart.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_fbs.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_general.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_go.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_grpc.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_js.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_json_schema.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_lobster.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_lua.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_php.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_python.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_rust.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_gen_text.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/idl_parser.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/reflection.cpp
+< libnd4j/blasbuild/cpu/flatbuffers-src/src/util.cpp
+3351,3359d3232
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/Assert.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/ByteBufferTests.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/FlatBufferBuilderTests.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/FlatBuffersExampleTests.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/FlatBuffersFuzzTests.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/FlatBuffersTestClassAttribute.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/FlatBuffersTestMethodAttribute.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/FuzzTestData.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/Lcg.cs
+3361,3363d3233
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/Program.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/Properties/AssemblyInfo.cs
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/FlatBuffers.Test/TestTable.cs
+3367d3236
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/generate_code.bat
+3369d3237
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/go_test.go
+3374,3375d3241
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/JavaTest.bat
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/JavaTest.java
+3377d3242
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/lobstertest.lobster
+3415d3279
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/RustTest.bat
+3417d3280
+< libnd4j/blasbuild/cpu/flatbuffers-src/tests/test.cpp
+3491,3492d3353
+< libnd4j/blasbuild/cuda/flatbuffers-src/android/jni/include.mk
+< libnd4j/blasbuild/cuda/flatbuffers-src/android/jni/main.cpp
+3496,3497d3356
+< libnd4j/blasbuild/cuda/flatbuffers-src/CMake/BuildFlatBuffers.cmake
+< libnd4j/blasbuild/cuda/flatbuffers-src/CMake/FindFlatBuffers.cmake
+3502d3360
+< libnd4j/blasbuild/cuda/flatbuffers-src/conan/test_package/test_package.cpp
+3506,3507d3363
+< libnd4j/blasbuild/cuda/flatbuffers-src/dart/example/example.dart
+< libnd4j/blasbuild/cuda/flatbuffers-src/dart/LICENSE
+3515d3370
+< libnd4j/blasbuild/cuda/flatbuffers-src/grpc/flatbuffers-java-grpc/src/main/java/com/google/flatbuffers/grpc/FlatbuffersUtils.java
+3517,3520d3371
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+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/path.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/path_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/proto_encode_helper.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/random_inputstream.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/random_inputstream.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/random_inputstream_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/record_reader.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/record_reader.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/record_reader_writer_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/record_writer.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/record_writer.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/recordio_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/snappy/snappy_buffers_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/snappy/snappy_inputbuffer.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/snappy/snappy_inputbuffer.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/snappy/snappy_outputbuffer.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/snappy/snappy_outputbuffer.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/table.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/table.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/table_builder.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/table_builder.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/table_options.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/table_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/two_level_iterator.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/two_level_iterator.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/zlib_buffers_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/zlib_compression_options.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/zlib_inputstream.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/zlib_inputstream.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/zlib_outputbuffer.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/io/zlib_outputbuffer.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/jpeg/jpeg_handle.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/jpeg/jpeg_handle.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/jpeg/jpeg_mem.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/jpeg/jpeg_mem.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/jpeg/jpeg_mem_unittest.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/math/math_util.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/math/math_util_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/collected_metrics.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/collection_registry.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/collection_registry.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/collection_registry_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/counter.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/counter_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/gauge.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/gauge_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/metric_def.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/metric_def_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/mobile_counter.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/mobile_gauge.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/mobile_sampler.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/sampler.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/sampler.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/monitoring/sampler_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/png/png_io.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/png/png_io.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/distribution_sampler.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/distribution_sampler.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/distribution_sampler_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/exact_uniform_int.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/philox_random.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/philox_random_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/philox_random_test_utils.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/random.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/random.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/random_distributions.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/random_distributions.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/random_distributions_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/random_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/simple_philox.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/simple_philox.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/simple_philox_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/weighted_picker.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/weighted_picker.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/random/weighted_picker_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/base64.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/base64.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/base64_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/numbers.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/numbers.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/numbers_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/ordered_code.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/ordered_code.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/ordered_code_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/proto_serialization.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/proto_serialization.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/proto_text_util.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/proto_text_util.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/scanner.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/scanner.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/scanner_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/str_util.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/str_util.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/str_util_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/strcat.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/strcat.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/strcat_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/stringprintf.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/stringprintf.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/strings/stringprintf_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/wav/wav_io.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/wav/wav_io.h
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/lib/wav/wav_io_test.cc
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/cluster.proto
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/device_properties.proto
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/master.proto
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/master_service.proto
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/tensorflow_server.proto
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/worker.proto
+< nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/tensorflow/core/protobuf/worker_service.proto
+8757,8758d8075
+< nd4j/nd4j-shade/guava/target/classes/META-INF/maven/com.google.errorprone/error_prone_annotations/pom.xml
+< nd4j/nd4j-shade/guava/target/classes/META-INF/maven/com.google.j2objc/j2objc-annotations/pom.xml
diff --git a/jumpy/.gitignore b/jumpy/.gitignore
deleted file mode 100644
index 15f456096..000000000
--- a/jumpy/.gitignore
+++ /dev/null
@@ -1,68 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-env/
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*,cover
-.hypothesis/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-target/
-
-#Ipython Notebook
-.ipynb_checkpoints
-
-# IDE settings
-.idea/
-
-.pytest_cache/
-venv/
diff --git a/jumpy/README.md b/jumpy/README.md
deleted file mode 100644
index b18179024..000000000
--- a/jumpy/README.md
+++ /dev/null
@@ -1,73 +0,0 @@
-Jumpy: Python interface for [nd4j](https://nd4j.org)
-===========================================
-
-[![Join the chat at https://gitter.im/deeplearning4j/deeplearning4j](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/deeplearning4j/deeplearning4j?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
-[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/eclipse/deeplearning4j/blob/master/jumpy/LICENSE)
-[![PyPI version](https://badge.fury.io/py/jumpy.svg)](https://badge.fury.io/py/jumpy)
-
-Jumpy allows you to use ND4J from Python _without any network communication_. Many other Python libraries bridging Java
-have considerable overhead, jumpy uses pointers to directly access your numpy arrays. Under the hood, Jumpy uses `pydl4j` 
-for dependency management and `pyjnius` to load Java classes.
-
-## Installation
-
-Jumpy is on PyPI, simply install it with
-
-```bash
-pip install jumpy
-```
-
-or build it from source:
-
-```bash
-python setup.py install
-```
-
-## Using Jumpy
-
-### Creating arrays
-
-Just like numpy, you can initialize an array using `.zeros()` or `.ones()`
-
-```python
-import jumpy as jp
-
-x = jp.zeros((32, 16))
-y = jp.ones((32, 16))
-```
-
-### Converting numpy array to jumpy array
-
-A numpy `ndarray` instance can be converted to a jumpy `ndarray` instance (and vice-versa) without copying the data
-
-```python
-import jumpy as jp
-import numpy as np
-
-x_np = np.random.random((100, 50))
-x_jp = jp.array(x_np)
-```
-
-### Converting jumpy array to numpy array
-
-Simply call the `.numpy()` method of `jumpy.ndarray.ndarray`
-
-```python
-import jumpy as jp
-
-x_jp = jp.zeros((100,50))
-x_np = x_jp.numpy()
-```
-
-### Operations
-
-* Basic operators like `+` `-` `*` `/` `+=` `-=` `*=` `/=` are overloaded and broadcasting is supported.
-* Indexing, slicing and assignment behaviour has been made as close to numpy as possible.
-* Check `jumpy/ops/` to see available ops.
-
----
-## Contribute
-
-* Check for open issues, or open a new issue to start a discussion around a feature idea or a bug.
-* We could use more ops! Have a look at available ops (`jumpy/ops/`), it's quite easy to add new ones.
-* Send a pull request and bug us on Gitter until it gets merged and published. :)
diff --git a/jumpy/benchmarks/benchmark.py b/jumpy/benchmarks/benchmark.py
deleted file mode 100644
index 74ac7735c..000000000
--- a/jumpy/benchmarks/benchmark.py
+++ /dev/null
@@ -1,77 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import jumpy as jp
-import numpy as np
-from random import randint
-import timeit
-import gc
-
-gc.disable()
-jp.disable_gc()
-
-
-class Benchmark(object):
-    def __init__(self, n=1000):
-        print 'Running tests with [', n, 'x', n, '] dimensionality'
-        self.n = n
-        self.m = 200
-        self.np_arr = []
-        self.nd4j_arr = []
-        for counter in range(0, self.m + 1):
-            self.np_arr.append(np.linspace(1, n * n, n * n).reshape((n, n)))
-
-        for counter in range(0, self.m + 1):
-            self.nd4j_arr.append(jp.array(self.np_arr[counter]))
-
-    def run_nd4j_scalar(self):
-        self.nd4j_arr[randint(0, self.m)] += 1.0172
-
-    def run_numpy_scalar(self):
-        self.np_arr[randint(0, self.m)] += 1.0172
-
-    def run_nd4j_add(self):
-        self.nd4j_arr[randint(0, self.m)] += self.nd4j_arr[randint(0, self.m)]
-
-    def run_numpy_add(self):
-        self.np_arr[randint(0, self.m)] += self.np_arr[randint(0, self.m)]
-
-    def run_numpy_sub(self):
-        self.np_arr[randint(0, self.m)] -= self.np_arr[randint(0, self.m)]
-
-    def run_nd4j_sub(self):
-        self.nd4j_arr[randint(0, self.m)] -= self.nd4j_arr[randint(0, self.m)]
-
-    def run_nd4j_mmul(self):
-        jp.dot(self.nd4j_arr[randint(0, self.m)], self.nd4j_arr[randint(0, self.m)])
-
-    def run_numpy_mmul(self):
-        np.dot(self.np_arr[randint(0, self.m)], self.np_arr[randint(0, self.m)])
-
-    def run_benchmark(self, n_trials=1000):
-        print 'nd4j scalar ', timeit.timeit(self.run_nd4j_scalar, number=n_trials)
-        print 'numpy scalar ', timeit.timeit(self.run_numpy_scalar, number=n_trials)
-        print 'nd4j add ', timeit.timeit(self.run_nd4j_add, number=n_trials)
-        print 'numpy add ', timeit.timeit(self.run_numpy_add, number=n_trials)
-        print 'nd4j sub ', timeit.timeit(self.run_nd4j_sub, number=n_trials)
-        print 'numpy sub ', timeit.timeit(self.run_numpy_sub, number=n_trials)
-        print 'nd4j mmul ', timeit.timeit(self.run_nd4j_mmul, number=n_trials)
-        print 'numpy mmul ', timeit.timeit(self.run_numpy_mmul, number=n_trials)
-
-
-benchmark = Benchmark()
-benchmark.run_benchmark()
diff --git a/jumpy/jumpy/__init__.py b/jumpy/jumpy/__init__.py
deleted file mode 100644
index 496e7dbbe..000000000
--- a/jumpy/jumpy/__init__.py
+++ /dev/null
@@ -1,24 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .ndarray import *
-from .matlib import *
-from .memory_manager import *
-from .ops import *
-from .tf_model import *
-from .keras_model import *
-from .spark import *
diff --git a/jumpy/jumpy/java_classes.py b/jumpy/jumpy/java_classes.py
deleted file mode 100644
index 4cb5074b4..000000000
--- a/jumpy/jumpy/java_classes.py
+++ /dev/null
@@ -1,75 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import jnius_config
-import os
-import warnings
-import pydl4j
-
-pydl4j.validate_nd4j_jars()
-
-
-# -------------JVM starts here-------------
-
-from jnius import autoclass
-
-Nd4j = autoclass('org.nd4j.linalg.factory.Nd4j')
-INDArray = autoclass('org.nd4j.linalg.api.ndarray.INDArray')
-Transforms = autoclass('org.nd4j.linalg.ops.transforms.Transforms')
-NDArrayIndex = autoclass('org.nd4j.linalg.indexing.NDArrayIndex')
-DataBuffer = autoclass('org.nd4j.linalg.api.buffer.DataBuffer')
-DataType = autoclass('org.nd4j.linalg.api.buffer.DataType')
-System = autoclass('java.lang.System')
-Integer = autoclass('java.lang.Integer')
-Long = autoclass('java.lang.Long')
-Float = autoclass('java.lang.Float')
-Double = autoclass('java.lang.Double')
-Shape = autoclass('org.nd4j.linalg.api.shape.Shape')
-BinarySerde = autoclass('org.nd4j.serde.binary.BinarySerde')
-NativeOpsHolder = autoclass('org.nd4j.nativeblas.NativeOpsHolder')
-
-DoublePointer = autoclass('org.bytedeco.javacpp.DoublePointer')
-FloatPointer = autoclass('org.bytedeco.javacpp.FloatPointer')
-HalfPointer = autoclass('org.bytedeco.javacpp.ShortPointer')
-LongPointer = autoclass('org.bytedeco.javacpp.LongPointer')
-IntPointer = autoclass('org.bytedeco.javacpp.IntPointer')
-ShortPointer = autoclass('org.bytedeco.javacpp.ShortPointer')
-BoolPointer = autoclass('org.bytedeco.javacpp.BoolPointer')
-
-
-DataTypeUtil = autoclass('org.nd4j.linalg.api.buffer.util.DataTypeUtil')
-MemoryManager = autoclass('org.nd4j.linalg.memory.MemoryManager')
-SameDiff = autoclass('org.nd4j.autodiff.samediff.SameDiff')
-TFGraphMapper = autoclass('org.nd4j.imports.graphmapper.tf.TFGraphMapper')
-JDataset = autoclass('org.nd4j.linalg.dataset.DataSet')
-ArrayList = autoclass('java.util.ArrayList')
-
-
-def KerasModelImport():
-    return autoclass('org.deeplearning4j.nn.modelimport.keras.KerasModelImport')
-
-
-def ArrayDescriptor():
-    return autoclass('org.deeplearning4j.spark.parameterserver.python.ArrayDescriptor')
-
-
-def DatasetDescriptor():
-    return autoclass('org.deeplearning4j.spark.parameterserver.python.DataSetDescriptor')
-
-
-def spark_utils():
-    return autoclass('org.deeplearning4j.spark.parameterserver.python.Utils')
diff --git a/jumpy/jumpy/keras_model.py b/jumpy/jumpy/keras_model.py
deleted file mode 100644
index 9133114a1..000000000
--- a/jumpy/jumpy/keras_model.py
+++ /dev/null
@@ -1,51 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .java_classes import KerasModelImport
-from .ndarray import array
-
-
-class KerasModel(object):
-    def __init__(self, filepath):
-        KerasModelImport = KerasModelImport()
-        try:
-            self.model = KerasModelImport.importKerasModelAndWeights(filepath)
-            self.is_sequential = False
-        except Exception:
-            self.model = KerasModelImport.importKerasSequentialModelAndWeights(filepath)
-            self.is_sequential = True
-
-    def __call__(self, input):
-        if self.is_sequential:
-            if type(input) in [list, tuple]:
-                n = len(input)
-                if n != 1:
-                    err = 'Expected 1 input to sequential model. Received {}.'.format(n)
-                    raise ValueError(err)
-                input = input[0]
-            input = array(input).array
-            out = self.model.output(input, False)
-            out = array(out)
-            return out
-        else:
-            if not isinstance(input, list):
-                input = [input]
-            input = [array(x).array for x in input]
-            out = self.model.output(False, *input)
-            out = [array(x) for x in out]
-            if len(out) == 1:
-                return out[0]
-            return out
diff --git a/jumpy/jumpy/matlib.py b/jumpy/jumpy/matlib.py
deleted file mode 100644
index b22bda4d9..000000000
--- a/jumpy/jumpy/matlib.py
+++ /dev/null
@@ -1,51 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .ndarray import ndarray
-from .java_classes import Nd4j
-
-
-def zeros(shape):
-    return ndarray(Nd4j.zeros(*shape))
-
-
-def ones(shape):
-    return ndarray(Nd4j.ones(*shape))
-
-
-def zeros_like(array):
-    array = ndarray(array).array
-    return ndarray(Nd4j.zerosLike(array))
-
-
-def ones_like(array):
-    array = ndarray(array).array
-    return ndarray(Nd4j.onesLike(array))
-
-
-def eye(size):
-    return ndarray(Nd4j.eye(size))
-
-
-def arange(m, n=None):
-    if n is None:
-        return ndarray(Nd4j.arange(m))
-    return ndarray(Nd4j.arange(m, n))
-
-
-def linspace(start, stop, num):
-    return ndarray(Nd4j.linspace(start, stop, num))
diff --git a/jumpy/jumpy/memory_manager.py b/jumpy/jumpy/memory_manager.py
deleted file mode 100644
index 1fc98680c..000000000
--- a/jumpy/jumpy/memory_manager.py
+++ /dev/null
@@ -1,32 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .java_classes import Nd4j
-
-memory_manager = Nd4j.getMemoryManager()
-
-
-def disable_gc():
-    memory_manager.togglePeriodicGc(False)
-
-
-def enable_gc():
-    memory_manager.togglePeriodicGc(True)
-
-
-def set_gc_interval(interval=5000):
-    memory_manager.setAutoGcWindow(interval)
diff --git a/jumpy/jumpy/ndarray.py b/jumpy/jumpy/ndarray.py
deleted file mode 100644
index 5d4c9607e..000000000
--- a/jumpy/jumpy/ndarray.py
+++ /dev/null
@@ -1,512 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .java_classes import *
-import numpy as np
-import ctypes
-import warnings
-
-
-native_ops = NativeOpsHolder.getInstance().getDeviceNativeOps()
-
-
-# DATA TYPE MANAGEMENT
-
-
-DOUBLE = DataType.DOUBLE
-FLOAT = DataType.FLOAT
-HALF = DataType.HALF
-LONG = DataType.LONG
-INT = DataType.INT
-SHORT = DataType.SHORT
-UBYTE = DataType.UBYTE
-BYTE = DataType.BYTE
-BOOL = DataType.BOOL
-UTF8 = DataType.UTF8
-COMPRESSED = DataType.COMPRESSED
-UNKNOWN = DataType.UNKNOWN
-
-SUPPORTED_JAVA_DTYPES = [
-    DOUBLE,
-    FLOAT,
-    HALF,
-
-    LONG,
-    INT,
-    SHORT,
-
-    BOOL
-    #UTF8
-]
-
-SUPPORTED_PYTHON_DTYPES = [
-    np.float64,
-    np.float32,
-    np.float16,
-
-    np.int64,
-    np.int32,
-    np.int16,
-
-    np.bool_
-    #np.str_
-]
-
-
-
-
-_PY2J = {SUPPORTED_PYTHON_DTYPES[i] : SUPPORTED_JAVA_DTYPES[i] for i in range(len(SUPPORTED_JAVA_DTYPES))}
-_J2PY = {SUPPORTED_JAVA_DTYPES[i] : SUPPORTED_PYTHON_DTYPES[i] for i in range(len(SUPPORTED_JAVA_DTYPES))}
-
-
-def _dtype_py2j(dtype):
-    if isinstance(dtype, str):
-        dtype = np.dtype(dtype).type
-    elif isinstance(dtype, np.dtype):
-        dtype = dtype.type
-    jtype = _PY2J.get(dtype)
-    if jtype is None:
-        raise NotImplementedError("Unsupported type: " + dtype.name)
-    return jtype
-
-
-def _dtype_j2py(dtype):
-    pytype = _J2PY.get(dtype)
-    if pytype is None:
-        raise NotImplementedError("Unsupported type: " + (str(dtype)))
-    return pytype
-
-
-def set_context_dtype(dtype):
-    '''
-    Sets the dtype for nd4j
-    # Arguments
-        dtype: 'float' or 'double'
-    '''
-    dtype_map = {
-        'float32': 'float',
-        'float64': 'double'
-    }
-    dtype = dtype_map.get(dtype, dtype)
-    if dtype not in ['float', 'double']:
-        raise ValueError("Invalid dtype '{}'. Available dtypes are 'float' and 'double'.".format(dtype))
-    dtype_ = DataTypeUtil.getDtypeFromContext(dtype)
-    DataTypeUtil.setDTypeForContext(dtype_)
-    if get_context_dtype() != dtype:
-        warnings.warn("Can not set context dtype now. Set it at the beginning of your program.")
-
-
-def get_context_dtype():
-    '''
-    Returns the nd4j dtype
-    '''
-    dtype = DataTypeUtil.getDtypeFromContext()
-    return DataTypeUtil.getDTypeForName(dtype)
-
-_refs = []
-
-
-def _from_numpy(np_array):
-    '''
-    Convert numpy array to nd4j array
-    '''
-    pointer_address, _ = np_array.__array_interface__['data']
-    _refs.append(np_array)
-    pointer = native_ops.pointerForAddress(pointer_address)
-    size = np_array.size
-    pointer.limit(size)
-    jdtype = _dtype_py2j(np_array.dtype)
-    '''
-    mapping = {
-        DOUBLE: DoublePointer,
-        FLOAT: FloatPointer,
-        HALF: HalfPointer,
-        LONG: LongPointer,
-        INT: IntPointer,
-        SHORT: ShortPointer,
-        BOOL: BoolPointer
-        }
-    pc = mapping[jdtype]
-    #pointer = pc(pointer)
-    '''
-    buff = Nd4j.createBuffer(pointer, size, jdtype)
-    assert buff.address() == pointer_address
-    _refs.append(buff)
-    elem_size = buff.getElementSize()
-    assert elem_size == np_array.dtype.itemsize
-    strides = np_array.strides
-    strides = [dim / elem_size for dim in strides]
-    shape = np_array.shape
-    nd4j_array = Nd4j.create(buff, shape, strides, 0)
-    assert buff.address() == nd4j_array.data().address()
-    return nd4j_array
-
-
-def _to_numpy(nd4j_array):
-    '''
-    Convert nd4j array to numpy array
-    '''
-    buff = nd4j_array.data()
-    address = buff.pointer().address()
-    dtype = nd4j_array.dataType().toString()
-    mapping = {
-        'DOUBLE': ctypes.c_double,
-        'FLOAT': ctypes.c_float,
-        'HALF': ctypes.c_short,
-        'LONG': ctypes.c_long,
-        'INT': ctypes.c_int,
-        'SHORT': ctypes.c_short,
-        'BOOL': ctypes.c_bool
-    }
-    Pointer = ctypes.POINTER(mapping[dtype])
-    pointer = ctypes.cast(address, Pointer)
-    np_array = np.ctypeslib.as_array(pointer, tuple(nd4j_array.shape()))
-    return np_array
-
-
-def _indarray(x):
-    typ = type(x)
-    if typ is INDArray:
-        return x
-    elif typ is ndarray:
-        return x.array
-    elif 'numpy' in str(typ):
-        return _from_numpy(x)
-    elif typ in (list, tuple):
-        return _from_numpy(np.array(x))
-    elif typ in (int, float):
-        return Nd4j.scalar(x)
-    else:
-        raise Exception('Data type not understood :' + str(typ))
-
-
-def _nparray(x):
-    typ = type(x)
-    if typ is INDArray:
-        return ndarray(x).numpy()
-    elif typ is ndarray:
-        return x.numpy()
-    elif 'numpy' in str(typ):
-        return x
-    elif typ in (list, tuple):
-        return np.array(x)
-    elif typ in (int, float):
-        return np.array(x)
-    else:
-        raise Exception('Data type not understood :' + str(typ))
-
-
-def broadcast_like(y, x):
-    xs = x.shape()
-    ys = y.shape()
-    if xs == ys:
-        return y
-    _xs = tuple(xs)
-    _ys = tuple(ys)
-    nx = len(xs)
-    ny = len(ys)
-    if nx > ny:
-        diff = nx - ny
-        ys = ([1] * diff) + ys
-        y = y.reshape(ys)
-        ny = nx
-    elif ny > nx:
-        raise Exception('Unable to broadcast shapes ' + str(_xs) + ''
-                        ' and ' + str(_ys))
-    yt = []
-    rep_y = False
-    for xd, yd in zip(xs, ys):
-        if xd == yd:
-            yt.append(1)
-        elif xd == 1:
-            raise Exception('Unable to broadcast shapes ' + str(_xs) + ''
-                            ' and ' + str(_ys))
-        elif yd == 1:
-            yt.append(xd)
-            rep_y = True
-        else:
-            raise Exception('Unable to broadcast shapes ' + str(_xs) + ''
-                            ' and ' + str(_ys))
-    if rep_y:
-        y = y.repmat(*yt)
-    return y
-
-
-def broadcast(x, y):
-    xs = x.shape()
-    ys = y.shape()
-    if xs == ys:
-        return x, y
-    _xs = tuple(xs)
-    _ys = tuple(ys)
-    nx = len(xs)
-    ny = len(ys)
-    if nx > ny:
-        diff = nx - ny
-        ys = ([1] * diff) + ys
-        y = y.reshape(*ys)
-        ny = nx
-    elif ny > nx:
-        diff = ny - nx
-        xs = ([1] * diff) + xs
-        x = x.reshape(*xs)
-        nx = ny
-    xt = []
-    yt = []
-    rep_x = False
-    rep_y = False
-    for xd, yd in zip(xs, ys):
-        if xd == yd:
-            xt.append(1)
-            yt.append(1)
-        elif xd == 1:
-            xt.append(yd)
-            yt.append(1)
-            rep_x = True
-        elif yd == 1:
-            xt.append(1)
-            yt.append(xd)
-            rep_y = True
-        else:
-            raise Exception('Unable to broadcast shapes ' + str(_xs) + ''
-                            ' and ' + str(_ys))
-    if rep_x:
-        x = Nd4j.tile(x, *xt)
-    if rep_y:
-        try:
-            y = Nd4j.tile(y, *yt)
-        except:
-            y = Nd4j.tile(y, *yt)
-    return x, y
-
-
-class ndarray(object):
-
-    def __init__(self, data, dtype=None):
-        # we ignore dtype for now
-        typ = type(data)
-        if 'nd4j' in typ.__name__:
-            # Note that we don't make a copy here
-            self.array = data
-        elif typ is ndarray:
-            self.array = data.array.dup()
-        else:
-            if typ is not np.ndarray:
-                data = np.array(data)
-            self.array = _from_numpy(data)
-
-    def numpy(self):
-        try:
-            return self.np_array
-        except AttributeError:
-            self.np_array = _to_numpy(self.array)
-            return self.np_array
-
-    @property
-    def size(self):
-        return self.array.length()
-
-    @property
-    def shape(self):
-        return tuple(self.array.shape())
-
-    @shape.setter
-    def shape(self, value):
-        arr = self.reshape(value)
-        self.array = arr.array
-
-    @property
-    def ndim(self):
-        return len(self.array.shape())
-
-    def __getitem__(self, key):
-        return ndarray(self.numpy()[key])
-        if type(key) is int:
-            return ndarray(self.array.get(NDArrayIndex.point(key)))
-        if type(key) is slice:
-            start = key.start
-            stop = key.stop
-            step = key.step
-            if start is None:
-                start = 0
-            if stop is None:
-                shape = self.array.shape()
-                if shape[0] == 1:
-                    stop = shape[1]
-                else:
-                    stop = shape[0]
-            if stop - start <= 0:
-                return None
-            if step is None or step == 1:
-                return ndarray(self.array.get(NDArrayIndex.interval(start, stop)))
-            else:
-                return ndarray(self.array.get(NDArrayIndex.interval(start, step, stop)))
-        if type(key) is list:
-            raise NotImplementedError(
-                'Sorry, this type of indexing is not supported yet.')
-        if type(key) is tuple:
-            key = list(key)
-            shape = self.array.shape()
-            ndim = len(shape)
-            nk = len(key)
-            key += [slice(None)] * (ndim - nk)
-            args = []
-            for i, dim in enumerate(key):
-                if type(dim) is int:
-                    args.append(NDArrayIndex.point(dim))
-                elif type(dim) is slice:
-                    if dim == slice(None):
-                        args.append(NDArrayIndex.all())
-                    else:
-                        start = dim.start
-                        stop = dim.stop
-                        step = dim.step
-                        if start is None:
-                            start = 0
-                        if stop is None:
-                            stop = shape[i]
-                        if stop - start <= 0:
-                            return None
-                        if step is None or step == 1:
-                            args.append(NDArrayIndex.interval(start, stop))
-                        else:
-                            args.append(NDArrayIndex.interval(
-                                start, step, stop))
-                elif type(dim) in (list, tuple):
-                    raise NotImplementedError(
-                        'Sorry, this type of indexing is not supported yet.')
-            return ndarray(self.array.get(*args))
-
-    def __setitem__(self, key, other):
-        self.numpy()[key] = _nparray(other)
-        return
-        other = _indarray(other)
-        view = self[key]
-        if view is None:
-            return
-        view = view.array
-        other = broadcast_like(other, view)
-        view.assign(other)
-
-    def __add__(self, other):
-        return ndarray(self.numpy() + _nparray(other))
-        other = _indarray(other)
-        x, y = broadcast(self.array, other)
-        return ndarray(x.add(y))
-
-    def __sub__(self, other):
-        return ndarray(self.numpy() - _nparray(other))
-        other = _indarray(other)
-        x, y = broadcast(self.array, other)
-        return ndarray(x.sub(y))
-
-    def __mul__(self, other):
-        return ndarray(self.numpy() * _nparray(other))
-        other = _indarray(other)
-        x, y = broadcast(self.array, other)
-        return ndarray(x.mul(y))
-
-    def __div__(self, other):
-        return ndarray(self.numpy() / _nparray(other))
-        other = _indarray(other)
-        x, y = broadcast(self.array, other)
-        return ndarray(x.div(y))
-
-    def __pow__(self, other):
-        return ndarray(self.numpy() ** _nparray(other))
-        other = _indarray(other)
-        x, y = broadcast(self.array, other)
-        return ndarray(Transforms.pow(x, y))
-
-    def __iadd__(self, other):
-        self.numpy().__iadd__(_nparray(other))
-        return self
-        other = _indarray(other)
-        if self.array.shape() == other.shape():
-            self.array = self.array.addi(other)
-        else:
-            x, y = broadcast(self.array, other)
-            self.array = x.add(y)
-        return self
-
-    def __isub__(self, other):
-        self.numpy().__isub__(_nparray(other))
-        return self
-        other = _indarray(other)
-        if self.array.shape() == other.shape():
-            self.array = self.array.subi(other)
-        else:
-            x, y = broadcast(self.array, other)
-            self.array = x.sub(y)
-        return self
-
-    def __imul__(self, other):
-        self.numpy().__imul__(_nparray(other))
-        return self
-        other = _indarray(other)
-        if self.array.shape() == other.shape():
-            self.array = self.array.muli(other)
-        else:
-            x, y = broadcast(self.array, other)
-            self.array = x.mul(y)
-        return self
-
-    def __idiv__(self, other):
-        self.numpy().__idiv__(_nparray(other))
-        return self
-        other = _indarray(other)
-        if self.array.shape() == other.shape():
-            self.array = self.array.divi(other)
-        else:
-            x, y = broadcast(self.array, other)
-            self.array = x.div(y)
-        return self
-
-    def __ipow__(self, other):
-        self.numpy().__ipow__(_nparray(other))
-        return self
-        other = _indarray(other)
-        if self.array.shape() == other.shape():
-            self.array = self.array.divi(other)
-        else:
-            x, y = broadcast(self.array, other)
-            self.array = Transforms.pow(x, y)
-        return self
-
-    def __getattr__(self, attr):
-        import ops
-        f = getattr(ops, attr)
-        setattr(ndarray, attr, f)
-        return getattr(self, attr)
-
-    def __int__(self):
-        if self.array.length() == 1:
-            return self.array.getInt(0)
-        raise Exception('Applicable only for scalars')
-
-    def __float__(self):
-        if self.array.length() == 1:
-            return self.array.getDouble(0)
-        raise Exception('Applicable only for scalars')
-
-    @property
-    def T(self):
-        return self.transpose()
-
-
-def array(*args, **kwargs):
-    return ndarray(*args, **kwargs)
diff --git a/jumpy/jumpy/ops/__init__.py b/jumpy/jumpy/ops/__init__.py
deleted file mode 100644
index be9533df5..000000000
--- a/jumpy/jumpy/ops/__init__.py
+++ /dev/null
@@ -1,20 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .array_manip import *
-from .linalg import *
-from .reduction import *
diff --git a/jumpy/jumpy/ops/array_manip.py b/jumpy/jumpy/ops/array_manip.py
deleted file mode 100644
index 675019e75..000000000
--- a/jumpy/jumpy/ops/array_manip.py
+++ /dev/null
@@ -1,150 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .op import op
-from ..java_classes import Nd4j
-from ..ndarray import _nparray, ndarray, _indarray
-
-# Array manipulation routines
-# https://docs.scipy.org/doc/numpy-1.13.0/reference/routines.array-manipulation.html
-
-
-@op
-def reshape(arr, *args):
-    if len(args) == 1 and type(args) in (list, tuple):
-        args = tuple(args[0])
-    return arr.reshape(*args)
-
-
-@op
-def transpose(arr, *axis):
-    if len(axis) == 0:
-        return arr.transpose()
-    else:
-        if len(axis) == 1:
-            axis = axis[0]
-        assert set(axis) in [set(list(range(len(axis)))),
-                             set(list(range(len(arr.shape()))))]
-        return arr.permute(*axis)
-
-
-@op
-def ravel(arr):
-    return arr.ravel()
-
-
-@op
-def flatten(arr):
-    return arr.ravel().dup()
-
-
-@op
-def moveaxis(arr, source, destination):
-    assert type(source) == type(
-        destination), 'source and destination should be of same type.'
-    shape = arr.shape()
-    ndim = len(shape)
-    x = list(range(ndim))
-    if type(source) is int:
-        if source < 0:
-            source += ndim
-        if destination < 0:
-            destination += ndim
-        z = x.pop(source)
-        x.insert(destination, z)
-        return arr.permute(*x)
-    if type(source) in (list, tuple):
-        source = list(source)
-        destination = list(destination)
-        assert len(source) == len(destination)
-        for src, dst in zip(source, destination):
-            if src < 0:
-                src += ndim
-            if dst < 0:
-                dst += ndim
-            z = x.pop(src)
-            x.insert(dst, z)
-        return arr.permute(*x)
-
-
-@op
-def permute(arr, *axis):
-    if len(axis) == 1:
-        axis = axis[0]
-    assert set(axis) in [set(list(range(len(axis)))),
-                         set(list(range(len(arr.shape()))))]
-    return arr.permute(*axis)
-
-
-@op
-def expand_dims(arr, axis):
-    return Nd4j.expandDims(arr, axis)
-
-
-@op
-def squeeze(arr, axis):
-    shape = arr.shape()
-    if type(axis) in (list, tuple):
-        shape = [shape[i] for i in range(len(shape)) if i not in axis]
-    else:
-        shape.pop(axis)
-    return arr.reshape(*shape)
-
-
-@op
-def concatenate(arrs, axis=-1):
-    return Nd4j.concat(axis, *arrs)
-
-
-@op
-def hstack(arrs):
-    return Nd4j.hstack(arrs)
-
-
-@op
-def vstack(arrs):
-    return Nd4j.vstack(arrs)
-
-
-@op
-def stack(arrs, axis):
-    for i, arr in enumerate(arrs):
-        shape = arr.shape()
-        shape.insert(axis, 1)
-        arrs[i] = arr.reshape(*shape)
-    return Nd4j.concat(axis, *arrs)
-
-
-@op
-def tile(arr, reps):
-    import numpy as np
-    return _indarray(np.tile(_nparray(arr), reps))
-
-    if type(reps) is int:
-        return Nd4j.tile(arr, reps)
-    else:
-        return Nd4j.tile(arr, *reps)
-
-
-@op
-def repeat(arr, repeats, axis=None):
-    if type(repeats) is int:
-        repeats = (repeats,)
-    if axis is None:
-        return arr.repeat(-1, *repeats).reshape(-1)
-    else:
-        return arr.repeat(axis, *repeats)
diff --git a/jumpy/jumpy/ops/linalg.py b/jumpy/jumpy/ops/linalg.py
deleted file mode 100644
index 01d068042..000000000
--- a/jumpy/jumpy/ops/linalg.py
+++ /dev/null
@@ -1,42 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .op import op
-from ..java_classes import *
-
-
-# Linear algebra
-# https://docs.scipy.org/doc/numpy-1.13.0/reference/routines.linalg.html
-
-
-@op
-def dot(arr, other):
-    return arr.mmul(other)
-
-
-@op
-def tensordot(arr1, arr2, axes=2):
-    shape1 = arr1.shape()
-    shape2 = arr2.shape()
-    if type(axes) is int:
-        axes = [shape1[axes:], shape2[:axes]]
-    elif type(axes) in [list, tuple]:
-        axes = list(axes)
-        for i in range(2):
-            if type(axes[i]) is int:
-                axes[i] = [axes[i]]
-    return Nd4j.tensorMmul(arr1, arr2, axes)
diff --git a/jumpy/jumpy/ops/op.py b/jumpy/jumpy/ops/op.py
deleted file mode 100644
index 13bb1d05f..000000000
--- a/jumpy/jumpy/ops/op.py
+++ /dev/null
@@ -1,95 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from jumpy.java_classes import *
-from jumpy.ndarray import array
-from jumpy.ndarray import ndarray
-import inspect
-
-_INDArray_class = 'org.nd4j.linalg.api.ndarray.INDArray'
-
-
-def _is_nd4j(x):
-    return type(x).__name__ == _INDArray_class
-
-
-def _is_jumpy(x):
-    return type(x) == ndarray
-
-
-'''
-Use the @op decorator over a method to automatically
-take care of nd4j<->jumpy conversions. e.g:
-
-```python
-
-@op
-def reshape(arr, shape):
-    # we are in nd4j space now
-    # arr is an INDArray instance
-    # we return a INDArray instance as well
-    return arr.reshape(*shape)
-
-
-# use in jumpy space:
-
-x = jp.zeros((2, 2, 3))  # x is jumpy ndarray
-y = reshape(x, (4, 3))  # y is a jumpy ndarray
-
-```
-
-Note that methods with first argument named 'arr'
-will be automatically bound to ndarray class.
-
-'''
-
-
-def op(f):
-    def wrapper(*args, **kwargs):
-        args = list(args)
-        for i, arg in enumerate(args):
-            if _is_jumpy(arg):
-                args[i] = arg.array
-            elif type(arg) is list:
-                for j, a in enumerate(arg):
-                    if _is_jumpy(a):
-                        arg[j] = a.array
-            elif type(arg) is tuple:
-                arg = list(arg)
-                for j, a in enumerate(arg):
-                    if _is_jumpy(a):
-                        arg[j] = a.array
-                args[i] = tuple(arg)
-        for k in kwargs:
-            v = kwargs[k]
-            if _is_jumpy(v):
-                kwargs[k] = v.array
-        out = f(*args, **kwargs)
-        if _is_nd4j(out):
-            return array(out)
-        elif type(out) is list:
-            for i, v in enumerate(out):
-                if _is_nd4j(v):
-                    out[i] = array(v)
-            return out
-        elif type(out) is tuple:
-            out = list(out)
-            for i, v in enumerate(out):
-                if _is_nd4j(v):
-                    out[i] = array(v)
-            return tuple(out)
-    return wrapper
diff --git a/jumpy/jumpy/ops/reduction.py b/jumpy/jumpy/ops/reduction.py
deleted file mode 100644
index 3590bbcae..000000000
--- a/jumpy/jumpy/ops/reduction.py
+++ /dev/null
@@ -1,34 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .op import op
-from ..java_classes import Nd4j
-
-
-template = """
-@op
-def {}(arr, axis=None):
-    if axis is None:
-        return Nd4j.{}(arr)
-    return Nd4j.{}(arr)
-"""
-
-reduction_ops = [['max'], ['min'], ['sum'], ['prod'], ['mean'], [
-    'std'], ['var'], ['argmax', 'argMax'], ['argmin', 'argMin']]
-
-for rop in reduction_ops:
-    code = template.format(rop[0], rop[-1], rop[-1])
-    exec(code)
diff --git a/jumpy/jumpy/spark/__init__.py b/jumpy/jumpy/spark/__init__.py
deleted file mode 100644
index f00df555b..000000000
--- a/jumpy/jumpy/spark/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .fast_impl import py2javaArrayRDD, java2pyArrayRDD
-from .fast_impl import py2javaDatasetRDD, java2pyDatasetRDD
-from .dataset import Dataset
-# from .naive_impl import py2javaRDD, java2pyRDD
diff --git a/jumpy/jumpy/spark/dataset.py b/jumpy/jumpy/spark/dataset.py
deleted file mode 100644
index 225cd223d..000000000
--- a/jumpy/jumpy/spark/dataset.py
+++ /dev/null
@@ -1,49 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from ..ndarray import ndarray
-from ..java_classes import JDataset
-
-
-class Dataset(object):
-
-    def __init__(self, features, labels, features_mask=None, labels_mask=None):
-        self.features = ndarray(features)
-        self.labels = ndarray(labels)
-        if features_mask is None:
-            self.features_mask = None
-        else:
-            self.features_mask = ndarray(features_mask)
-        if labels_mask is None:
-            self.labels_mask = None
-        else:
-            self.labels_mask = ndarray(labels_mask)
-
-    def to_java(self):
-        return JDataset(self.features.array, self.labels.array, self.features_mask, self.labels_mask)
-
-    def __getstate__(self):
-        return [self.features.numpy(),
-                self.labels.numpy(),
-                self.features_mask.numpy() if self.features_mask is not None else None,
-                self.labels_mask.numpy() if self.labels_mask is not None else None]
-
-    def __setstate__(self, state):
-        ds = Dataset(*state)
-        self.features = ds.features
-        self.labels = ds.labels
-        self.features_mask = ds.features_mask
-        self.labels_mask = ds.labels_mask
diff --git a/jumpy/jumpy/spark/fast_impl.py b/jumpy/jumpy/spark/fast_impl.py
deleted file mode 100644
index 85b6c7eb6..000000000
--- a/jumpy/jumpy/spark/fast_impl.py
+++ /dev/null
@@ -1,160 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import numpy as np
-from ..java_classes import ArrayList
-from ..java_classes import ArrayDescriptor as getArrayDescriptor
-from ..java_classes import DatasetDescriptor as getDatasetDescriptor
-from ..java_classes import DataType
-from ..java_classes import spark_utils as get_spark_utils
-from ..java_classes import JDataset
-from ..ndarray import array
-from .utils import np2desc
-from .utils import py2j_ds_desc
-from .utils import j2py_ds_desc
-from .utils import j2py_arr_desc
-from .utils import py2j_arr_desc
-from .utils import desc2np
-from .utils import desc2ds
-from .utils import ds2desc
-
-
-ArrayDescriptor = None
-JDatasetDescriptor = None
-spark_utils = None
-
-
-
-
-def java2pyArrayRDD(java_rdd, py_sc):
-    '''
-    Arguments
-
-    `java_rdd`: JavaRDD instance
-    `py_sc`: Pyspark context instance
-
-    Returns
-
-    pyspark.RDD instance
-    '''
-    global spark_utils
-    if spark_utils is None:
-        spark_utils = get_spark_utils()
-    desc_rdd = spark_utils.getArrayDescriptorRDD(java_rdd)
-    descriptors = desc_rdd.collect()
-    num_descriptors = descriptors.size()
-    nparrays = []
-    pydescriptors = []
-    for i in range(num_descriptors):
-        jdesc = descriptors.get(i)
-        pydesc = j2py_arr_desc(jdesc)
-        nparrays.append(desc2np(pydesc))
-        #pydescriptors.append(pydesc)
-    #pyrdd = py_sc.parallelize(pydescriptors)
-    #pyrdd = pyrdd.map(desc2np)
-    pyrdd = py_sc.parallelize(nparrays)
-    return pyrdd
-
-
-def py2javaArrayRDD(py_rdd, java_sc):
-    '''
-    Arguments
-
-    `py_rdd`: pyspark.RDD instance
-    `java_sc`: JavaSparkContext instance
-
-    Returns
-
-    JavaRDD instance
-    '''
-    global ArrayDescriptor, spark_utils
-    if ArrayDescriptor is None:
-        ArrayDescriptor = getArrayDescriptor()
-    if spark_utils is None:
-        spark_utils = get_spark_utils()
-
-    #desc_rdd = py_rdd.map(np2desc)
-    #descriptors = desc_rdd.collect()
-    arrlist = ArrayList()
-    nparrays = py_rdd.collect()
-    for nparr in nparrays:
-        arrlist.add(array(nparr).array)
-    return java_sc.parallelize(arrlist)
-    for d in descriptors:
-        #arrlist.add(array(desc2np(d)).array)
-        arrlist.add(ArrayDescriptor(d[0], d[1], d[2], dtype_map[d[3]], 'c').getArray())
-    java_rdd = java_sc.parallelize(arrlist)
-    #return java_rdd
-    java_rdd = spark_utils.getArrayRDD(java_rdd)
-    return java_rdd
-
-
-def java2pyDatasetRDD(java_rdd, py_sc):
-    global spark_utils, JDatasetDescriptor
-    if spark_utils is None:
-        spark_utils = get_spark_utils()
-    if JDatasetDescriptor is None:
-        JDatasetDescriptor = getDatasetDescriptor()
-    jdatasets = java_rdd.collect()
-    num_ds = jdatasets.size()
-    pydatasets = []
-    for i in range(num_ds):
-        jds = jdatasets.get(i)
-        jdesc = JDatasetDescriptor(jds)
-        pydesc = j2py_ds_desc(jdesc)
-        pyds = desc2ds(pydesc)
-        pydatasets.append(pyds)
-    return py_sc.parallelize(pydatasets)
-
-
-    ####
-    desc_rdd = spark_utils.getDataSetDescriptorRDD(java_rdd)
-    descriptors = desc_rdd.collect()
-    num_descriptors = descriptors.size()
-    pydescriptors = []
-    for i in range(num_descriptors):
-        jdesc = descriptors.get(i)
-        pydesc = j2py_ds_desc(jdesc)
-        pydescriptors.append(pydesc)
-    pyrdd = py_sc.parallelize(pydescriptors)
-    pyrdd = pyrdd.map(desc2ds)
-    return pyrdd
-
-
-def py2javaDatasetRDD(py_rdd, java_sc):
-    global spark_utils
-    if spark_utils is None:
-        spark_utils = get_spark_utils()
-    
-    ###
-    pydatasets = py_rdd.collect()
-    jdatasets = ArrayList()
-    for pyds in pydatasets:
-        pydesc = ds2desc(pyds)
-        jdesc = py2j_ds_desc(pydesc)
-        jds = jdesc.getDataSet()
-        jdatasets.add(jds)
-    return java_sc.parallelize(jdatasets)
-
-    ###
-    desc_rdd = py_rdd.map(ds2desc)
-    pydescriptors = desc_rdd.collect()
-    jdescriptors = ArrayList()
-    for pydesc in pydescriptors:
-        jdescriptors.add(py2j_ds_desc(pydesc))
-    java_rdd = java_sc.parallelize(jdescriptors)
-    java_rdd = spark_utils.getDataSetRDD(java_rdd)
-    return java_rdd
diff --git a/jumpy/jumpy/spark/naive_impl.py b/jumpy/jumpy/spark/naive_impl.py
deleted file mode 100644
index bbce9bfc8..000000000
--- a/jumpy/jumpy/spark/naive_impl.py
+++ /dev/null
@@ -1,64 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import numpy as np
-from ..java_classes import ArrayList
-from ..ndarray import array
-
-
-def java2pyRDD(java_rdd, py_sc):
-    '''
-    Arguments
-
-    `java_rdd`: JavaRDD instance
-    `py_sc`: Pyspark context instance
-
-    Returns
-
-    pyspark.RDD instance
-    '''
-    indarray_list = java_rdd.collect()
-    num_arrays = indarray_list.size()
-
-    nparray_list = []
-    for i in range(num_arrays):
-        indarray = indarray_list.get(i)
-        jparray = array(indarray)
-        nparray = jparray.numpy()
-        nparray_list.append(nparray)
-
-    return py_sc.parallelize(nparray_list)
-
-
-def py2javaRDD(py_rdd, java_sc):
-    '''
-    Arguments
-
-    `py_rdd`: pyspark.RDD instance
-    `java_sc`: JavaSparkContext instance
-
-    Returns
-
-    JavaRDD instance
-    '''
-    nparray_list = py_rdd.collect()
-    indarray_list = ArrayList()
-
-    for nparray in nparray_list:
-        jparray = array(nparray)
-        indarray = jparray.array
-        indarray_list.add(indarray)
-    return java_sc.parallelize(indarray_list)
diff --git a/jumpy/jumpy/spark/utils.py b/jumpy/jumpy/spark/utils.py
deleted file mode 100644
index 6175eae78..000000000
--- a/jumpy/jumpy/spark/utils.py
+++ /dev/null
@@ -1,122 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import numpy as np
-from ..java_classes import DataType
-from ..java_classes import ArrayDescriptor as getArrayDescriptor
-from ..java_classes import DatasetDescriptor
-import ctypes
-from .dataset import Dataset
-from ..ndarray import array
-
-
-ArrayDescriptor = None
-
-
-def np2desc(nparray):
-    if nparray is None:
-        return None
-    nparray = array(nparray).numpy()
-    address = nparray.__array_interface__['data'][0]
-    shape = nparray.shape
-    stride = nparray.strides
-    nptype = nparray.dtype
-    if nptype == np.float32:
-        dtype = "float"
-    elif nptype == np.float64:
-        dtype = "double"
-    else:
-        raise Exception("Unsupported data type: " + str(nptype))
-    return (address, shape, stride, dtype)
-
-
-def desc2np(desc):
-    if desc is None:
-        return None
-    address, shape, stride, dtype = desc
-    mapping = {
-        'double': ctypes.c_double,
-        'float': ctypes.c_float,
-        'half': ctypes.c_short,
-        'long': ctypes.c_long,
-        'int': ctypes.c_int,
-        'short': ctypes.c_short,
-        'bool': ctypes.c_bool
-    }
-    Pointer = ctypes.POINTER(mapping[dtype])
-    pointer = ctypes.cast(address, Pointer)
-    np_array = np.ctypeslib.as_array(pointer, shape)
-    return np_array
-
-
-def desc2ds(desc):
-    if desc is None:
-        return None
-    return Dataset(*list(map(desc2np, desc)))
-
-
-def ds2desc(ds):
-    if ds is None:
-        return None
-    items = [ds.features, ds.labels, ds.features_mask, ds.labels_mask]
-    return tuple(map(np2desc, items))
-
-
-def j2py_arr_desc(jdesc):
-    if jdesc is None:
-        return None
-    address = jdesc.getAddress()
-    shape = tuple(jdesc.getShape())
-    stride = tuple(jdesc.getStride())
-    dtype = jdesc.getType().toString().lower()
-    supported_dtypes = ["float", "double"]
-    if dtype not in supported_dtypes:
-        raise Exception("Unsupported data type: " + dtype)
-    return (address, shape, stride, dtype)
-
-
-def py2j_arr_desc(pydesc):
-    global ArrayDescriptor
-    if pydesc is None:
-        return None
-    address = pydesc[0]
-    shape = pydesc[1]
-    stride = pydesc[2]
-    dtype = pydesc[3]
-    dtype = {"float": DataType.FLOAT, "double": DataType.DOUBLE}[dtype]
-    if ArrayDescriptor is None:
-        ArrayDescriptor = getArrayDescriptor()
-    return ArrayDescriptor(address, shape, stride, dtype, 'c')
-
-
-def j2py_ds_desc(jdesc):
-    jfeaturesdesc = jdesc.getFeatures()
-    pyfeaturesdesc = j2py_arr_desc(jfeaturesdesc)
-    jlabelsdesc = jdesc.getLabels()
-    pylabelsdesc = j2py_arr_desc(jlabelsdesc)
-
-    jfmaskdesc = jdesc.getFeaturesMask()
-    pyfmaskdesc = j2py_arr_desc(jfmaskdesc)
-
-    jlmaskdesc = jdesc.getLabelsMask()
-    pylmaskdesc = j2py_arr_desc(jlmaskdesc)
-
-    return (pyfeaturesdesc, pylabelsdesc, pyfmaskdesc, pylmaskdesc)
-
-
-def py2j_ds_desc(pydesc):
-    return DatasetDescriptor()(*list(map(py2j_arr_desc, pydesc)))
diff --git a/jumpy/jumpy/tf_model.py b/jumpy/jumpy/tf_model.py
deleted file mode 100644
index cf8ae38aa..000000000
--- a/jumpy/jumpy/tf_model.py
+++ /dev/null
@@ -1,69 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .java_classes import TFGraphMapper, Nd4j, NDArrayIndex
-from .ndarray import array
-
-
-class TFModel(object):
-    def __init__(self, filepath, inputs=None, outputs=None):
-        self.sd = TFGraphMapper.getInstance().importGraph(filepath)
-        self.inputs = inputs
-        self.outputs = outputs
-        if inputs is None:
-            input_vars = [self.sd.variables().get(0)]
-        elif type(inputs) in [list, tuple]:
-            input_vars = []
-            for x in inputs:
-                var = self.sd.getVariable(x)
-                if var is None:
-                    raise ValueError('Variable not found in samediff graph: ' + x)
-                input_vars.append(var)
-        else:
-            input_vars = [self.sd.getVariable(inputs)]
-            if input_vars[0] is None:
-                raise ValueError('Variable not found in samediff graph: ' + inputs)
-        if outputs is None:
-            nvars = self.sd.variables().size()
-            output_vars = [self.sd.variables().get(nvars - 1)]
-        elif type(outputs) in [list, tuple]:
-            output_vars = []
-            for x in outputs:
-                var = self.sd.getVariable(x)
-                if var is None:
-                    raise ValueError('Variable not found in samediff graph: ' + x)
-                output_vars.append(var)
-        else:
-            output_vars = [self.sd.getVariable(outputs)]
-            if output_vars[0] is None:
-                raise ValueError('Variable not found in samediff graph: ' + outputs)
-        self.input_vars = input_vars
-        self.output_vars = output_vars
-
-    def __call__(self, input):
-        if type(input) in (list, tuple):
-            input_arrays = [array(x).array for x in input]
-        else:
-            input_arrays = [array(input).array]
-        for arr, var in zip(input_arrays, self.input_vars):
-            self.sd.associateArrayWithVariable(arr, var)
-        output_arrays = []
-        getattr(self.sd, 'exec')()
-        for var in self.output_vars:
-            output_arrays.append(array(var.getArr()))
-        if len(output_arrays) == 1:
-            return output_arrays[0]
-        return output_arrays
diff --git a/jumpy/pom.xml b/jumpy/pom.xml
deleted file mode 100644
index 47a16a0c9..000000000
--- a/jumpy/pom.xml
+++ /dev/null
@@ -1,184 +0,0 @@
-
-
-
-
-
-    
-        org.deeplearning4j
-        deeplearning4j
-        1.0.0-SNAPSHOT
-    
-
-    4.0.0
-
-    org.deeplearning4j
-    jumpy
-    jar
-
-    jumpy
-
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        false
-        0.2.4
-        nd4j-native
-    
-
-    
-        
-            org.nd4j
-            ${nd4j.backend}
-            ${dl4j.version}
-        
-    
-
-    
-        
-            
-                org.apache.maven.plugins
-                maven-shade-plugin
-                3.1.0
-                
-                    
-                        package
-                        
-                            shade
-                        
-                        
-                            
-                                
-                                    org.deeplearning4j.example.App
-                                
-                            
-                        
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                3.1
-                
-                    1.8
-                    1.8
-                
-            
-            
-                org.apache.maven.plugins
-                maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
-            
-            
-                org.codehaus.mojo
-                exec-maven-plugin
-                
-                    
-                        python-install-cython
-                        install
-                        
-                            exec
-                        
-                        
-                            pip
-                            ${basedir}
-                            
-                                install
-                                --user
-                                Cython
-                                --install-option=--no-cython-compile
-                            
-                        
-                    
-                    
-                        python-build
-                        install
-                        
-                            exec
-                        
-                        
-                            pip
-                            ${basedir}
-                            
-                                install
-                                --user
-                                -e
-                                .[tests, spark]
-                            
-                        
-                    
-                    
-                        python-test
-                        test
-                        
-                            exec
-                        
-                        
-                            python
-                            ${basedir}
-                            ${jumpy.test.skip}
-                            
-                                -m
-                                pytest
-                                --pep8
-                                -m
-                                pep8
-                                tests/
-                            
-                        
-                    
-                
-            
-        
-    
-
-
diff --git a/jumpy/pytest.ini b/jumpy/pytest.ini
deleted file mode 100644
index d65bb4cc4..000000000
--- a/jumpy/pytest.ini
+++ /dev/null
@@ -1,28 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-[pytest]
-
-norecursedirs= build
-
-# PEP-8 The following are ignored:
-# E501 line too long (82 > 79 characters)
-# W503 line break occurred before a binary operator
-# E402 module level import not at top of file
-
-pep8ignore=* E501 \
-           * W503 \
-           * E402
diff --git a/jumpy/release.sh b/jumpy/release.sh
deleted file mode 100755
index 219ff4663..000000000
--- a/jumpy/release.sh
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/bin/bash
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-# Note: this needs manual upgrading of version in setup.py to work (can't override old versions)
-
-# remove old wheels
-sudo rm -rf dist/*
-
-# Build Python 2 & 3 wheels for current version
-sudo python2 setup.py sdist bdist_wheel
-sudo python3 setup.py sdist bdist_wheel
-
-# Upload to PyPI with twine. Needs full "skymind" credentials in ~/.pypirc
-twine upload dist/*
\ No newline at end of file
diff --git a/jumpy/requirements.txt b/jumpy/requirements.txt
deleted file mode 100644
index 1c5cbce15..000000000
--- a/jumpy/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-Cython==0.28.2
-numpy==1.14.2
-pyjnius==1.1.1
-pytest==3.5.1
-six==1.11.0
diff --git a/jumpy/setup.cfg b/jumpy/setup.cfg
deleted file mode 100644
index fbf73a23a..000000000
--- a/jumpy/setup.cfg
+++ /dev/null
@@ -1,5 +0,0 @@
-[metadata]
-description-file = README.md
-
-[aliases]
-test=pytest
\ No newline at end of file
diff --git a/jumpy/setup.py b/jumpy/setup.py
deleted file mode 100644
index a805ecbe9..000000000
--- a/jumpy/setup.py
+++ /dev/null
@@ -1,48 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from setuptools import setup
-from setuptools import find_packages
-
-
-setup(name='jumpy',
-      version='0.2.4',
-      description='Numpy and nd4j interop',
-      long_description='Mapping of the numpy & nd4j array representations',
-      author='Adam Gibson',
-      author_email='adam@skymind.io',
-      classifiers=[
-          'Development Status :: 3 - Alpha',
-          'License :: OSI Approved :: Apache Software License',
-          'Operating System :: OS Independent',
-          'Programming Language :: Python',
-          'Programming Language :: Python :: 2',
-          'Programming Language :: Python :: 3',
-          'Topic :: Software Development :: Libraries',
-      ],
-      keywords='numpy jumpy java nd4j deeplearning4j',
-      url='https://github.com/deeplearning4j/deeplearning4j.git',
-      license='Apache',
-      setup_requires=['Cython', 'pytest-runner'],
-      install_requires=['Cython', 'requests', 'pydl4j', 'numpy'],
-      extras_require={
-          'spark': ['pyspark'],
-          'tests': ['pytest',
-                    'pytest-pep8',
-                    'mock'],
-      },
-      packages=find_packages())
diff --git a/jumpy/tests/__init__.py b/jumpy/tests/__init__.py
deleted file mode 100644
index 652867c5a..000000000
--- a/jumpy/tests/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import unittest
-
-if __name__ == '__main__':
-    unittest.main()
diff --git a/jumpy/tests/jumpy/__init__.py b/jumpy/tests/jumpy/__init__.py
deleted file mode 100644
index 72e314156..000000000
--- a/jumpy/tests/jumpy/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
diff --git a/jumpy/tests/jumpy/test_array_creation.py b/jumpy/tests/jumpy/test_array_creation.py
deleted file mode 100644
index bfb50592b..000000000
--- a/jumpy/tests/jumpy/test_array_creation.py
+++ /dev/null
@@ -1,32 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-
-
-def test_array_creation():
-    a = jp.zeros((32, 10))
-    assert int(jp.sum(a)) == 0
-    a = jp.ones((32, 12))
-    assert int(jp.sum(a)) == 32 * 12
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_broadcast.py b/jumpy/tests/jumpy/test_broadcast.py
deleted file mode 100644
index 672edbd49..000000000
--- a/jumpy/tests/jumpy/test_broadcast.py
+++ /dev/null
@@ -1,75 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-from numpy.testing import assert_allclose
-
-
-def _test_ufunc(op, shape1, shape2):
-    a_np = np.random.random(shape1)
-    b_np = np.random.random(shape2)
-
-    c_np = eval('a_np {} b_np'.format(op))
-
-    a_jp = jp.array(a_np)
-    b_jp = jp.array(b_np)
-
-    c_jp = eval('a_jp {} b_jp'.format(op))
-
-    c_jp = c_jp.numpy()
-
-    assert_allclose(c_jp, c_np)
-
-
-def _test_ufunc_inplace(op, shape1, shape2):
-    a_np = np.random.random(shape1)
-    b_np = np.random.random(shape2)
-    a_np2 = a_np.copy()
-    exec('a_np {}= b_np'.format(op))
-
-    a_jp = jp.array(a_np2)
-    b_jp = jp.array(b_np)
-
-    exec('a_jp {}= b_jp'.format(op))
-
-    a_jp = a_jp.numpy()
-
-    assert_allclose(a_jp, a_np)
-
-
-def test_broadcast():
-    shapes = [
-        [(2, 3), (3, )],
-        [(2, 3, 4), (3, 4)],
-        [(2, 3), (1, 1)],
-        [(2, 3), (1, 1, 1)]
-    ]
-
-    ops = ['+', '-', '*', '/']
-    for op in ops:
-        for shape in shapes:
-            _test_ufunc(op, *shape)
-            _test_ufunc(op, *reversed(shape))
-            if len(shape[0]) > len(shape[1]):
-                _test_ufunc_inplace(op, *shape)
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_conversion_32.py b/jumpy/tests/jumpy/test_conversion_32.py
deleted file mode 100644
index 8fb1ac009..000000000
--- a/jumpy/tests/jumpy/test_conversion_32.py
+++ /dev/null
@@ -1,39 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-from numpy.testing import assert_allclose
-
-
-def test_conversion_32():
-    jp.set_context_dtype('float32')
-    shapes = [(1, 1), (2, 1), (1, 2), (32, 12), (100, 32, 16)]
-    for shape in shapes:
-        x_np = np.random.random(shape)
-        x_np = np.cast['float32'](x_np)
-        x_jp = jp.array(x_np)
-        x_np += np.cast['float32'](np.random.random(shape))
-        x_jp = x_jp.numpy()
-
-        assert_allclose(x_jp, x_np)
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_conversion_64.py b/jumpy/tests/jumpy/test_conversion_64.py
deleted file mode 100644
index 154c6eb48..000000000
--- a/jumpy/tests/jumpy/test_conversion_64.py
+++ /dev/null
@@ -1,37 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-from numpy.testing import assert_allclose
-
-
-def test_conversion_64():
-    jp.set_context_dtype('float64')
-    shapes = [(1, 1), (2, 1), (1, 2), (32, 12), (100, 32, 16)]
-    for shape in shapes:
-        x_np = np.random.random(shape)
-        x_jp = jp.array(x_np)
-        x_np += np.random.random(shape)
-        x_jp = x_jp.numpy()
-
-        assert_allclose(x_jp, x_np)
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_reduction_ops.py b/jumpy/tests/jumpy/test_reduction_ops.py
deleted file mode 100644
index 854d5020e..000000000
--- a/jumpy/tests/jumpy/test_reduction_ops.py
+++ /dev/null
@@ -1,49 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-from numpy.testing import assert_allclose
-
-
-def _test_reduction_op(op, shape):
-    for axis in range(len(shape)):
-        x_np = np.random.random(shape)
-        y_np = getattr(np, op)(x_np, axis=axis)
-
-        x_jp = jp.array(x_np)
-        y_jp = getattr(jp, op)(x_jp, axis=axis)
-
-        x_jp = x_jp.numpy()
-
-        assert_allclose(x_jp, x_np)
-
-
-def test_reduction_ops():
-    shapes = [(2, 3), (2, 3, 4), (2, 3, 4, 5)]
-    reduction_ops = ['max', 'min', 'sum', 'prod', 'mean',
-                     'std', 'var', 'argmax', 'argmin']
-
-    for op in reduction_ops:
-        for shape in shapes:
-            _test_reduction_op(op, shape)
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_shape_ops.py b/jumpy/tests/jumpy/test_shape_ops.py
deleted file mode 100644
index 73972ff61..000000000
--- a/jumpy/tests/jumpy/test_shape_ops.py
+++ /dev/null
@@ -1,160 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-from numpy.testing import assert_allclose
-
-
-def test_reshape():
-    jp.set_context_dtype('float64')
-
-    shapes = [
-        [(2, 3), (6, 1)],
-        [(1, 2, 3), (3, 2)],
-        [(3, 2, 1), (2, -1)],
-        [(3, 1, 2), (-1, 3, 1)]
-    ]
-
-    for shape1, shape2 in shapes:
-        x_np = np.random.random(shape1)
-        y_np = np.reshape(x_np, shape2)
-
-        x_jp = jp.array(x_np)
-        y_jp = jp.reshape(x_jp, shape2)
-
-        assert y_jp.shape == y_np.shape
-
-
-def test_transpose():
-    shapes = [(2, 3), (3, 1), (2, 3, 4)]
-    for shape in shapes:
-        x_np = np.random.random(shape)
-        x_jp = jp.array(x_np)
-
-        y_np = np.transpose(x_np)
-        y_jp = jp.transpose(x_jp)
-
-        y_jp = y_jp.numpy()
-
-        assert y_jp.shape == y_np.shape
-
-
-def test_permute():
-    shapes = []
-    shapes.append([(2, 3), [0, 1], [1, 0]])
-    shapes.append([(2, 1), [0, 1], [1, 0]])
-    shapes.append([(2, 3, 4), [0, 1, 2], [0, 2, 1], [1, 0, 2], [1, 2, 0], [2, 0, 1], [2, 1, 0]])
-
-    for shape in shapes:
-        x_np = np.random.random(shape[0])
-        x_jp = jp.array(x_np)
-        for dims in shape[1:]:
-            y_np = np.transpose(x_np, dims)
-            y_jp = jp.transpose(x_jp, dims)
-            assert y_jp.shape == y_np.shape
-
-
-def test_expand_dims():
-    shapes = [(2, 3), (2, 1), (2, 3, 4)]
-    for shape in shapes:
-        x_np = np.random.random(shape)
-        x_jp = jp.array(x_np)
-        for axis in range(len(shape) + 1):
-            y_np = np.expand_dims(x_np, axis)
-            y_jp = jp.expand_dims(x_jp, axis)
-            assert y_jp.shape == y_np.shape
-
-
-def test_squeeze():
-    shapes = [[2, 3, 1, 4], [2, 1, 3]]
-    for shape in shapes:
-        x_np = np.random.random(shape)
-        x_jp = jp.array(x_np)
-        axis = shape.index(1)
-        y_np = np.squeeze(x_np, axis)
-        y_jp = jp.squeeze(x_jp, axis)
-        assert y_jp.shape == y_np.shape
-
-
-def test_concatenate():
-    shapes = [
-        [(2, 3, 4), (3, 3, 4), 0],
-        [(2, 3, 5), (2, 4, 5), 1],
-        [(3, 2, 4), (3, 2, 2), 2]
-    ]
-
-    for shape in shapes:
-        x1_np = np.random.random(shape[0])
-        x2_np = np.random.random(shape[1])
-
-        x1_jp = jp.array(x1_np)
-        x2_jp = jp.array(x2_np)
-
-        axis = shape[2]
-
-        y_np = np.concatenate([x1_np, x2_np], axis)
-        y_jp = jp.concatenate([x1_jp, x2_jp], axis)
-
-        assert y_jp.shape == y_np.shape
-
-
-def test_stack():
-    shapes = [
-        (2, 3), (2, 3, 4)
-    ]
-
-    for shape in shapes:
-        x1_np = np.random.random(shape)
-        x2_np = np.random.random(shape)
-
-        x1_jp = jp.array(x1_np)
-        x2_jp = jp.array(x2_np)
-
-        for axis in range(len(shape)):
-            y_np = np.stack([x1_np, x2_np], axis)
-            y_jp = jp.stack([x1_jp, x2_jp], axis)
-
-            assert y_jp.shape == y_np.shape
-
-
-def test_tile():
-    shapes = [
-        (2, 3), (2, 3, 4)
-    ]
-
-    repeats = [
-        [3, 2], [3, 2, 2]
-    ]
-
-    for i in range(len(shapes)):
-        shape = shapes[i]
-        rep = repeats[i]
-
-        x_np = np.random.random(shape)
-        x_jp = jp.array(x_np)
-
-        y_np = np.tile(x_np, rep)
-        y_jp = jp.tile(x_jp, rep)
-
-        assert y_jp.shape == y_np.shape
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_spark.py b/jumpy/tests/jumpy/test_spark.py
deleted file mode 100644
index e2bf569f4..000000000
--- a/jumpy/tests/jumpy/test_spark.py
+++ /dev/null
@@ -1,126 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from numpy.testing import assert_allclose
-from jumpy.spark import py2javaArrayRDD
-from jumpy.spark import py2javaDatasetRDD
-from jumpy.spark import java2pyArrayRDD
-from jumpy.spark import java2pyDatasetRDD
-from jumpy.java_classes import JDataset
-from jumpy.spark import Dataset
-from jumpy.java_classes import ArrayList
-from numpy.testing import assert_allclose
-from jnius import autoclass
-import jumpy as jp
-import numpy as np
-import pyspark
-import pytest
-
-
-
-SparkConf = autoclass('org.apache.spark.SparkConf')
-SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-
-
-
-class TestSparkConverters(object):
-    
-    @pytest.fixture(scope='module')
-    def java_sc(self):
-        config = SparkConf()
-        config.setAppName("test")
-        config.setMaster("local[*]")
-        return SparkContext(config)
-
-    @pytest.fixture(scope='module')
-    def py_sc(self):
-        return pyspark.SparkContext(master='local[*]', appName='test')
-
-    def test_java2py_array(self, java_sc, py_sc):
-        data = ArrayList()
-
-        for _ in range(100):
-            arr = jp.array(np.random.random((32, 20))).array
-            data.add(arr)
-
-        java_rdd = java_sc.parallelize(data)
-        py_rdd = java2pyArrayRDD(java_rdd, py_sc)
-
-        data2 = py_rdd.collect()
-
-        data = [data.get(i) for i in range(data.size())]
-
-        assert len(data) == len(data2)
-
-        for d1, d2 in zip(data, data2):
-            assert_allclose(jp.array(d1).numpy(), d2)
-
-
-    def test_py2java_array(self, java_sc, py_sc):
-        data = [np.random.random((32, 20)) for _ in range(100)]
-
-        jdata = [jp.array(x) for x in data]  # required
-
-        py_rdd = py_sc.parallelize(data)
-        java_rdd = py2javaArrayRDD(py_rdd, java_sc)
-
-        data2 = java_rdd.collect()
-        data2 = [data2.get(i) for i in range(data2.size())]
-        assert len(data) == len(data2)
-        for d1, d2 in zip(data, data2):
-            d2 = jp.array(d2).numpy()
-            assert_allclose(d1, d2)
-
-    def test_java2py_dataset(self, java_sc, py_sc):
-        data = ArrayList()
-
-        for _ in range(100):
-            arr = jp.array(np.random.random((32, 20))).array
-            ds = JDataset(arr, arr)
-            data.add(ds)
-
-        java_rdd = java_sc.parallelize(data)
-        py_rdd = java2pyDatasetRDD(java_rdd, py_sc)
-
-        data2 = py_rdd.collect()
-
-        data = [data.get(i) for i in range(data.size())]
-
-        assert len(data) == len(data2)
-
-        for d1, d2 in zip(data, data2):
-            assert_allclose(jp.array(d1.getFeatures()).numpy(), d2.features.numpy())
-
-    def test_py2java_array(self, java_sc, py_sc):
-        data = [np.random.random((32, 20)) for _ in range(100)]
-        jdata = [jp.array(x) for x in data]  # required
-        data = [Dataset(x, x) for x in data]
-        
-
-        py_rdd = py_sc.parallelize(data)
-        java_rdd = py2javaDatasetRDD(py_rdd, java_sc)
-
-        data2 = java_rdd.collect()
-        data2 = [data2.get(i) for i in range(data2.size())]
-        assert len(data) == len(data2)
-        for d1, d2 in zip(data, data2):
-            d2 = jp.array(d2.getFeatures()).numpy()
-            assert_allclose(d1.features.numpy(), d2)
-
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/jumpy/tests/jumpy/test_ufuncs.py b/jumpy/tests/jumpy/test_ufuncs.py
deleted file mode 100644
index 929daabac..000000000
--- a/jumpy/tests/jumpy/test_ufuncs.py
+++ /dev/null
@@ -1,68 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import pytest
-
-import jumpy as jp
-import numpy as np
-from numpy.testing import assert_allclose
-
-
-def _test_ufunc(op, shape):
-    a_np = np.random.random(shape)
-    b_np = np.random.random(shape)
-
-    c_np = eval('a_np {} b_np'.format(op))
-
-    a_jp = jp.array(a_np)
-    b_jp = jp.array(b_np)
-
-    c_jp = eval('a_jp {} b_jp'.format(op))
-
-    c_jp = c_jp.numpy()
-
-    assert_allclose(c_jp, c_np)
-
-
-def _test_ufunc_inplace(op, shape):
-    a_np = np.random.random(shape)
-    b_np = np.random.random(shape)
-    a_np2 = a_np.copy()
-    exec('a_np {}= b_np'.format(op))
-
-    a_jp = jp.array(a_np2)
-    b_jp = jp.array(b_np)
-
-    exec('a_jp {}= b_jp'.format(op))
-
-    a_jp = a_jp.numpy()
-
-    assert_allclose(a_jp, a_np)
-
-
-def test_ufuncs():
-    jp.set_context_dtype('float64')
-    shapes = [(1, 1), (1, 2), (2, 2), (2, 3), (2, 3, 4)]
-    ops = ['+', '-', '/', '*']  # TODO: investigate issue with **
-    for op in ops:
-        for shape in shapes:
-            _test_ufunc(op, shape)
-            _test_ufunc_inplace(op, shape)
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/libnd4j/CMakeLists.txt b/libnd4j/CMakeLists.txt
index 0631763c2..695acec35 100755
--- a/libnd4j/CMakeLists.txt
+++ b/libnd4j/CMakeLists.txt
@@ -52,15 +52,17 @@ elseif(WIN32)
     if (SD_CUDA)
         set(CMAKE_CXX_FLAGS_RELEASE  "-D_RELEASE=true")
         set(CMAKE_CXX_FLAGS_DEBUG  "  /FS /EHsc")
+        set(CMAKE_CUDA_STANDARD 14)
     else()
         set(CMAKE_CXX_FLAGS_RELEASE  "-O3 -fPIC -D_RELEASE=true")
         set(CMAKE_CXX_FLAGS_DEBUG  " -g -O2 -fPIC")
+        set(CMAKE_CUDA_STANDARD 14)
     endif()
 else()
     set(CMAKE_CXX_FLAGS_RELEASE  "-O3 -fPIC -D_RELEASE=true")
     set(CMAKE_CXX_FLAGS_DEBUG  " -g -O0 -fPIC")
 
-    if (SD_CPU)
+    if (SD_CPU AND SD_SANITIZE)
         set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fsanitize=address")
     endif()
 endif()
@@ -131,23 +133,31 @@ if(NOT SD_CUDA)
     endif()
 endif()
 
+
 #arm-compute entry
 if(${HELPERS_armcompute})
  find_package(ARMCOMPUTE REQUIRED)
+ execute_process(COMMAND ${CMAKE_C_COMPILER} -fuse-ld=gold -Wl,--version ERROR_QUIET OUTPUT_VARIABLE ld_version)
+ if ("${ld_version}" MATCHES "GNU gold")
+   set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -fuse-ld=gold ")
+   if (CMAKE_BUILD_TYPE STREQUAL "Debug")
+        add_link_options("-Wl,--long-plt")
+   endif()
+ endif()
 
  if(ARMCOMPUTE_FOUND)
     message("Found ARMCOMPUTE: ${ARMCOMPUTE_LIBRARIES}")
     set(HAVE_ARMCOMPUTE 1)
     # Add preprocessor definition for ARM Compute NEON 
     add_definitions(-DARMCOMPUTENEON_ENABLED)
-    #build our library with neon support
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon")
     include_directories(${ARMCOMPUTE_INCLUDE})
     message("----${ARMCOMPUTE_INCLUDE}---")
  endif()
 
+
 endif()
- 
+
+
 
 # new mkl-dnn entry
 if (${HELPERS_mkldnn})
@@ -259,8 +269,8 @@ set (CMAKE_INSTALL_PREFIX $ENV{ND4J_HOME}/nd4j-native-parent/nd4j-native/src/mai
 # Set package information
 set(CPACK_PACKAGE_DESCRIPTION_SUMMARY "Native operations for nd4j.")
 set(CPACK_PACKAGE_RELEASE 1)
-set(CPACK_PACKAGE_CONTACT "raver119 ")
-set(CPACK_PACKAGE_VENDOR "Skymind")
+set(CPACK_PACKAGE_CONTACT "agibsonccc ")
+set(CPACK_PACKAGE_VENDOR "Eclipse")
 set(CPACK_SETDESTDIR "false")
 set(CPACK_PACKAGING_INSTALL_PREFIX "/usr/local/lib")
 set(CPACK_PACKAGE_NAME "libnd4j")
@@ -291,7 +301,7 @@ if(DISTRIBUTION STREQUAL "Ubuntu")
   # For Ubuntu <= 12, libatlas3gf-base, liblapack3gf
   # Build deps: libatlas3-base liblapack3 libopenblas-dev libatlas-dev liblapack-dev gcc-5 g++-5
   set(CPACK_DEBIAN_PACKAGE_DEPENDS "")
-  set(CPACK_DEBIAN_PACKAGE_HOMEPAGE "https://github.com/deeplearning4j/libnd4j")
+  set(CPACK_DEBIAN_PACKAGE_HOMEPAGE "https://github.com/eclipse/deeplearning4j")
   set(CPACK_GENERATOR "DEB")
   set(CPACK_PACKAGE_FILE_NAME ${CPACK_PACKAGE_NAME}_${CPACK_PACKAGE_VERSION}-${RELEASE}_${CPACK_DEBIAN_PACKAGE_ARCHITECTURE})
   set(CPACK_DEBIAN_PACKAGE_CONTROL_EXTRA "${CMAKE_CURRENT_SOURCE_DIR}/cmake/postinst;${CMAKE_CURRENT_SOURCE_DIR}/cmake/postrm;" )
diff --git a/libnd4j/RaspberryPi.md b/libnd4j/RaspberryPi.md
index 6aee42014..07c0574da 100644
--- a/libnd4j/RaspberryPi.md
+++ b/libnd4j/RaspberryPi.md
@@ -1,3 +1,28 @@
+
+### Cross compiling for rapsberry pi and android on linux
+
+`bash pi_build.sh` using this helper script one can cross build libnd4j and dl4j with **arm COMPUTE LIBRARY** . it will download cross compiler and arm compute library.
+
+
+|options | value  | description
+|--|--|--|
+| -a or --arch | arm32  | cross compiles for pi/linux 32bit
+| -a or --arch | arm64  | cross compiles for pi/linux 64bit
+| -a or --arch | android-arm  | cross compiles for android 32bit
+| -a or --arch | android-arm64  | cross compiles for android 64bit
+|-m or --mvn |  | if provided will build dl4j using maven
+
+example:  
+`bash pi_build.sh --arch android-arm64 --mvn`
+
+to change version of the  **arm COMPUTE LIBRARY**  modify this line in the script
+    ```
+    ARMCOMPUTE_TAG=v20.05
+    ```
+
+
+##### old one
+
 Please follow following instructions to build nd4j for raspberry PI:
 
 1. download cross compilation tools for Raspberry PI
diff --git a/libnd4j/assembly-cuda.xml b/libnd4j/assembly-cuda.xml
index 61a7370b7..c1f6d89ae 100644
--- a/libnd4j/assembly-cuda.xml
+++ b/libnd4j/assembly-cuda.xml
@@ -1,18 +1,22 @@
-
+
 
 
diff --git a/libnd4j/assembly.xml b/libnd4j/assembly.xml
index e8ad5df32..42f429fb6 100644
--- a/libnd4j/assembly.xml
+++ b/libnd4j/assembly.xml
@@ -1,18 +1,22 @@
-
+
 
 
diff --git a/libnd4j/auto_vectorization/AutoVectorization.md b/libnd4j/auto_vectorization/AutoVectorization.md
index 61b98febe..44da56665 100644
--- a/libnd4j/auto_vectorization/AutoVectorization.md
+++ b/libnd4j/auto_vectorization/AutoVectorization.md
@@ -1,3 +1,4 @@
+
 # Auto-vectorization Report
 
 This report tool is used to get a human-friendly compiler output of the auto-vectorization process. It is intended for developers to help them to investigate the obstacles that compiler faced during auto-vectorization.
@@ -5,7 +6,11 @@ This report tool is used to get a human-friendly compiler output of the auto-vec
 ## Usage
 ```--check-vectorization``` option should be added to the **release** build to be able to get the auto-vectorization report 
 ```./buildnativeoperations.sh -a native  -j 28 --check-vectorization```
-it will output ```vecmiss.html``` inside  blasbuild/cpu folder.
+it will output ```vecmiss.html``` inside  blasbuild/cpu folder.    
+ 
+For the direct usage:
+`compile command | python3 auto_vect.py` 
+Also please note that to use it with `parallel make` one should add  `--output-sync=target`
 
 ## Report Format 
 Each filename contains info about optimization attempts for the source code lines. 
@@ -22,6 +27,25 @@ It is possible to click on the line number to see source code
 - GCC (Currently, only GCC is supported)
 - python3
 
+##### Adding new  compiler support for the stdin message parsing
+To add new compiler for the stdin processing one should add entry in `STDIN_COMPILER_ENTRY` for that compiler with the following syntax
+
+       { 'compiler_name' : [('comparision', 'version with dot delimiter', 'entry_name') ,  other version and etc] }  
+       example: STDIN_COMPILER_ENTRY = { 'gcc' : [('<','9','gcc_old'),...] ,...}
+
+   The next step to add a parser for the entry in `STDIN_PARSERS`  
+ `  STDIN_PARSERS = { 'gcc_old' : parser_method }`
+ the signature of the parser function is:  
+ `Parse_info parser_method(line, helper_storage)`  
+- the line is a compiler output that needs to be parsed. 
+- helper_storage is a dict and can be used as a state storage to parse multi-line and et cetera, as parser called for each line.
+- Please note that Parse_info members should be the same with those which were defined in `general_stdin_parser local_parser`  
+
+to  simplify adding compiler, especially, for those which outputs message details in one line, there is the helper method `general_stdin_parser("succes hint in the message", "failure hint in the message",  (file, line, message) extractor regex pattern)`:
+
+    example: general_stdin_parser("vectorized loop", "unvectorized loop", r'[^/]+([^,]+)\,\s*line\s*(\d+)\:(.*)')
+
+
 ### Detailed report with `-fsave-optimization-record` option:
 If you want to get more detailed information (for now it reports the functions of failures)  you should use new version of the toolchain (GCC > 9). As the new version of GCC compilers have `-fsave-optimization-record` option.   
 `buildnativeoperations.sh` using CMake will detect it and switch to the more detailed version.
@@ -31,7 +55,11 @@ And also the internal structure of the `-fsave-optimization-record` json.gz  can
 
 It outputs two files **vecmiss_fsave.html** and **vecmiss_fsave.html.js**. So to see report details you need to enable javascript on browser if it was disabled.
 
-##### Requirements for the Detailed report
+There is also `--inverted-file` option to generate inverted index for optimization messages in json format **vecmiss_fsave_inverted_index.json**. 
+`inverted_index.py` script contains methods to work with those generated json outputs. For now one can get postings for optimization messages and filter those message based on file index and function index. File and function index can be obtained using the methods with  a predicate filter .
+
+    message : [ file_index, line_position, [ compressed list of function index] ]
+#### Requirements for the Detailed report
 - GCC version > 9
 - python3 
 - Cython (python3)
@@ -39,11 +67,11 @@ It outputs two files **vecmiss_fsave.html** and **vecmiss_fsave.html.js**. So to
 - gzip   (python3) 
 - c++filt
 
+##### Some internal notes for `-fsave-optimization-record`  output format handling
 Internally, we are using Cython to speed up json.gz file processing (bigGzipJson.pyx). Because json.gz files can take big memory in raw when loaded in whole.
 
 If you want to use bigGzipJson outside  `buildnativeoperations.sh` and CMake then you should compile it manually using this command in auto_vectorization folder:
 `python3 cython_setup.py build_ext --inplace`  
 
 json.gz files could be processed outside of `buildnativeoperations.sh`.    
-You need to call `python3 auto_vect.py --fsave` inside base source folder and where json.gz files exist.  
-
+You need to call `python3 auto_vect.py --fsave` inside base source folder and where json.gz files exist. 
diff --git a/libnd4j/auto_vectorization/auto_vect.py b/libnd4j/auto_vectorization/auto_vect.py
index f98dc7422..743c8f270 100644
--- a/libnd4j/auto_vectorization/auto_vect.py
+++ b/libnd4j/auto_vectorization/auto_vect.py
@@ -1,13 +1,34 @@
 '''
 @author : Abdelrauf rauf@konduit.ai
 '''
-import re
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
+import argparse
 import sys
+import re
 import os
 import subprocess
 import fnmatch
 import json
 import gzip
+import argparse
+
 try:
     from bigGzipJson import json_gzip_extract_objects
 except ImportError:
@@ -17,22 +38,124 @@ from multiprocessing import  Pool, Manager ,cpu_count
 import traceback
 import html
 
-mtch = re.compile(r"[^/]*([^:]+)\:(\d+)\:(\d+)\:(.*)")
-replace_msg = re.compile(r"(\d+)?\.?(\d+)?_?\d+\.?(\d+)?")
-progress_msg = re.compile(r"\s{0,4}\[\s{0,2}\d+\%\]")
-file_dir_strip = str(Path(os.getcwd()))
-pp_index = file_dir_strip.rfind("libnd4j")
-if pp_index>=0:
-    file_dir_strip =file_dir_strip[:pp_index+len("libnd4j")]
-BASE_URL = "https://github.com/eclipse/deeplearning4j/tree/master/libnd4j/"
-if BASE_URL.endswith("/")==False:
-    BASE_URL = BASE_URL + "/"
-#print(file_dir_strip)
+# compiler_name :[ (check_operation, version, name_entry), ..]
+# positions playes role as checking will stop if it finds non empty entry
+STDIN_COMPILER_ENTRY = { 'gcc' : [('<','9','gcc_old')], 'g++' : [('<','9','gcc_old'), ('t','_','')],'nc++' :[('t','_', 'ncxx')] }
+
+#  FSAVE_SUPPORT compiler_name : (check_operation, version ) True or False
+# if you want to make it false for all just put 'f' and 't' for true case
+FSAVE_SUPPORT = { 'gcc' : ('>=','9'),  'g++' : ('>=','9'), 'nc++' : ('f','_')}
+
+stdin_parser    = None
+HAS_FSAVE       = False
+
+FALLBACK_TO_FSAVE_FILES  = True
+FSAVE_INVERTED_INDEX     = False
+
+number_replace        = re.compile(r"(\d+)?\.?(\d+)?_?\d+\.?(\d+)?")
+cmake_build_progress  = re.compile(r"\s{0,4}\[\s{0,2}\d+\%\]")
+
+internal_match = 'deeplearning4j'+os.path.sep+'libnd4j'+os.path.sep
+internal_match_replace = "./"
+
+BASE_URL = ''
+
+FSAVE_IGNORE_EXTERNALS = True
+FSAVE_SHOW_SUCCESSFULS = True
+
+def general_stdin_parser(std_success_msg, std_fail_msg , std_line_regex_str):
+    '''
+    General Parser from success and error message and line regex extractor
+    Parameters:
+    std_line_regex_str: it should match group(1) to file, group(2) to line_number and group(3) to message
+    '''
+    matcher = re.compile(std_line_regex_str)
+    def local_parser(line, helper_storage):
+        #for generic we will parsing stdin input line by line
+        #so we dont need any storage
+        parse_info = ParseInfo()
+        x = matcher.match(line)
+        parse_info.external_source = True
+        if x:
+            #print(line)
+            file_name =x.group(1).strip()
+            ppos = file_name.find(internal_match)
+            if  ppos>=0:
+                file_name = internal_match_replace + file_name[ppos+len(internal_match):]
+                parse_info.external_source = False
+            parse_info.line_pos = int(x.group(2))
+            msg = x.group(3).lower().strip()
+            parse_info.file_name = file_name
+            if std_fail_msg in msg:
+                msg = number_replace.sub("_numb",msg.replace(std_fail_msg,"fail:"))
+                parse_info.msg =  msg.strip()
+                parse_info.miss  = 1
+                parse_info.success = 0
+                #print(parse_info.__dict__)
+                return parse_info
+            elif std_success_msg in msg: 
+                parse_info.msg =  msg.strip()
+                parse_info.miss  = 0
+                parse_info.success = 1
+                #print(parse_info.__dict__)
+                return parse_info
+        return None
+
+    return local_parser
+
+
+# entry:  parser list for compilers that can parse compilers output and return Parse_info
+# the signature of the parser function   is `Parse_info parser_function_name_(line, helper_storage)`
+# Please note that Parse_info members should be the same as we defined in `general_stdin_parser local_parser`
+# the line is a compiler output. helper_storage is a dict and can be used as a state storage 
+# to parse multi-line and et cetera, as parser called for each line.
+STDIN_PARSERS = { 'gcc_old' : general_stdin_parser('loop vectorized', 'note: not vectorized:', r"[^/]*([^:]+)\:(\d+)\:\d+\:(.*)" ),
+                  'ncxx'    : general_stdin_parser("vectorized loop", "unvectorized loop",     r'[^/]+([^,]+)\,\s*line\s*(\d+)\:(.*)')
+}
+
+
+
+def version_check( version1, version2, op='>='):
+    op_list = {"<": (lambda x,y: x": (lambda x,y: x>y), ">=": (lambda x,y: x>=y),
+               'f': (lambda x,y:   False),'t': (lambda x,y: True)
+               
+          }
+    return op_list[op](version1.split('.'),version2.split('.'))
+
+
+def init_global_options(args):
+    global stdin_parser
+    global HAS_FSAVE
+    global BASE_URL
+    global FSAVE_INVERTED_INDEX
+
+    FSAVE_INVERTED_INDEX = args.inverted_index
+    BASE_URL  = args.base_url
+    if BASE_URL.endswith("/")==False:
+        BASE_URL = BASE_URL + "/"
+
+    entry_name = ''
+
+    if args.compiler in STDIN_COMPILER_ENTRY:
+        for x in STDIN_COMPILER_ENTRY[args.compiler]:
+            ret = version_check(args.compiler_version,x[1],x[0])
+            if ret == True:
+                entry_name = x[2]
+                break
+    
+    if len(entry_name)>0:          
+        stdin_parser    = STDIN_PARSERS[entry_name]
+    if args.compiler in FSAVE_SUPPORT:
+        x = FSAVE_SUPPORT[args.compiler]
+        HAS_FSAVE = version_check(args.compiler_version,x[1],x[0])
+
 class info:
     def __repr__(self):
         return str(self.__dict__) 
 
-FSAVE_IGNORE_EXTERNALS = True
+
 
 def get_cxx_filt_result(strx):
     if len(strx)<1:
@@ -63,22 +186,10 @@ def get_obj_json_gz(filename):
         return json.loads(f.read().decode('utf-8'))[-1]
 
 
-
-def get_msg(msg):
-    msg = msg.lower().strip() 
-    if "note: not vectorized:" in msg:
-        msg = replace_msg.sub("_numb",msg.replace("note: not vectorized:",""))
-        return( 0, 1, msg.strip()) 
-    elif "loop vectorized" in msg: 
-        return (1, 0, None)
-    # elif msg.startswith("missed")==False:
-    #     msg = replace_msg.sub("_numb",msg)
-    #     return( 0, 0, msg.strip())         
-    return None
-
+class ParseInfo:
+    pass
 
  
-
 class File_Info:
     '''
     Holds information about vectorized and miss vectorized lines for one file
@@ -121,9 +232,17 @@ class File_Info:
         if success and "loop vectorized" in msg:
             v.optimized +=1
             self.total_opted +=1
+            if FSAVE_SHOW_SUCCESSFULS==True:
+                if "success" in v.miss_details2:
+                    ls = v.miss_details2.get("success") 
+                    ls.add(function)
+                else:
+                    ls =set()
+                    v.miss_details2["success"]=ls
+                    ls.add(function)
         elif success==False and "not vectorized:" in msg:
             #reduce this msg
-            msg = msg.replace("not vectorized:","")
+            msg = msg.replace("not vectorized:","").strip()
             v.missed +=1
             self.total_missed +=1
             msg = sys.intern(msg)
@@ -136,15 +255,15 @@ class File_Info:
                 ls.add(function)
         return self
 
-    def add(self, line_pos, msg_x):
+    def add(self, line_pos, msg, success, missed):
         v = self.add_line(line_pos)
-        if msg_x is not None:
-                v.optimized += msg_x[0]
-                v.missed += msg_x[1]
-                self.total_opted += msg_x[0]
-                self.total_missed += msg_x[1]
-                if msg_x[2] is not None:
-                    v.miss_details.add(msg_x[2])
+        if msg is not None:
+                v.optimized += success
+                v.missed += missed
+                self.total_opted  += success
+                self.total_missed += missed
+                if msg is not None:
+                    v.miss_details.add(msg)
         return self
     
 
@@ -170,8 +289,9 @@ def process_gzip_json_new(json_gz_fname,list_Queue):
         if len(x['message'])>0 and 'location' in x:
             line = int(x['location']['line'])
             file_name = x['location']['file'].strip()
-            if  file_dir_strip in file_name:
-                file_name = file_name.replace(file_dir_strip,'./')
+            ppos = file_name.find(internal_match)
+            if  ppos>=0:
+                file_name = internal_match_replace + file_name[ppos+len(internal_match):]
                 external_source = False
             msg = x['message'][0]
             success = x['kind'] == 'success'
@@ -240,8 +360,8 @@ def consume_processed_new(list_Queue , c_index):
     print("generate report for consumer {0} {1}".format(c_index,len(info_)))
     try:
         uniq_ind = str(c_index)+'_' if len(list_Queue)>1  else ''
-        generate_report(wr_fname,info_ ,only_body = False, unique_id_prefix = uniq_ind,fsave_format = True, function_list= func_list)
-        print(" consumer {0} saved output into {1}".format(c_index,wr_fname))
+        wr = generate_report(wr_fname,info_ ,only_body = False, unique_id_prefix = uniq_ind,fsave_format = True, function_list= func_list)
+        print(" consumer {0} saved output into {1}".format(c_index, wr))
     except Exception as e:
         print(traceback.format_exc())
 
@@ -249,28 +369,27 @@ def consume_processed_new(list_Queue , c_index):
 
 def obtain_info_from(input_):
     info_ = dict()
+    parser_storage = dict() #can be used for parsing multi-lines
+    if HAS_FSAVE ==True or stdin_parser is None:
+        #just print progress
+        for line in input_:
+            if cmake_build_progress.match(line):
+                #actually we redirect only, stderr so this should not happen
+                print("__"+line.strip())
+            elif "error" in line or "Error" in line:
+                print("****"+line.strip())
+        return info_
     for line in input_:
-        x = mtch.match(line)
-        external_source = True
-        if x:
-            file_name =x.group(1).strip()
-            if  file_dir_strip in file_name:
-                file_name = file_name.replace(file_dir_strip,'')
-                external_source = False
-            line_number = int(x.group(2))
-            msg = x.group(4).lower()
-            msg = msg.replace(file_dir_strip,'./')
-            msg_x = get_msg(msg)
-            if msg_x is None:
-                continue
-            if file_name in info_:
+        x = stdin_parser(line, parser_storage)
+        if x is not None:
+            if x.file_name in info_:
                 #ignore col_number
-                info_[file_name].add(line_number,msg_x)
+                info_[x.file_name].add(x.line_pos, x.msg, x.success, x.miss)
+                info_[x.file_name].external = x.external_source
             else:
-                #print("{0} {1}".format(file_name,external_source))
-                info_[file_name] = File_Info().add(line_number,msg_x)
-                info_[file_name].external = external_source
-        elif progress_msg.match(line):
+                info_[x.file_name] = File_Info().add(x.line_pos, x.msg, x.success, x.miss)
+                info_[x.file_name].external = x.external_source
+        elif cmake_build_progress.match(line):
             #actually we redirect only, stderr so this should not happen
             print("__"+line.strip())
         elif "error" in line or "Error" in line:
@@ -324,6 +443,13 @@ def footer():
     return '\n'
 
 
+  
+def get_compressed_indices_list(set_a):
+    new_list = sorted(list(set_a)) 
+    for i in range(len(new_list)-1,0,-1):
+        new_list[i] = new_list[i] - new_list[i-1] 
+    return new_list
+
 def get_compressed_indices(set_a):
     a_len = len(set_a)
     if a_len<=1:
@@ -350,10 +476,10 @@ def get_content(k, v,  unique_id_prefix = '', fsave_format=False):
     inc_id = 0
     for fk,fv in sorted(v.infos.items()):
         if fsave_format==True:
-            inner_str+='
{1}
{2}
    '.format(
+            inner_str+='
    {1}
    {2}
      '.format(
             fk,fv.optimized,fv.missed,unique_id_prefix,inc_id)
         else:    
-            inner_str+='
      {2}
      {3}
        '.format(
+            inner_str+='
        {2}
        {3}
          '.format(
             k,fk,fv.optimized,fv.missed,unique_id_prefix,inc_id)
         inc_id+=1
         if fsave_format==True:
@@ -448,12 +574,49 @@ def additional_tags(fsave):
     
        
     '''
 
+class Json_reverse:
+    pass
+
+def generate_inverted_index(output_name, info_ , function_list ):
+    temp_str =''  
+    output_name = output_name.replace(".html","_inverted_index")
+    rev_index = Json_reverse()
+    rev_index.functions =[get_cxx_filt_result(k) for k,v in sorted(function_list.items(), key=lambda x: x[1])]
+    rev_index.msg_entries = {}
+    message_list =dict()
+    rev_index.files = list()
+    doc_i = 0
+    for doc_name,v in  info_.items():
+        for line_pos,info in v.infos.items():
+            for msg,func_indices in info.miss_details2.items():
+                    #we index msgs here, as previously it was not done
+                    msg_index = len(message_list)
+                    if msg in message_list:
+                        msg_index = message_list[msg]
+                    else:
+                        message_list[msg] = msg_index
+                    ## postings
+                    if not msg_index in rev_index.msg_entries:
+                        rev_index.msg_entries[msg_index] = list()
+                    rev_index.msg_entries[msg_index].append([doc_i,line_pos, get_compressed_indices_list(func_indices)])          
+        doc_i = doc_i + 1
+        rev_index.files.append(doc_name)
+    rev_index.messages = [k for k,v in sorted(message_list.items(), key=lambda x: x[1])]
+    with open(output_name+ ".json","w") as f:    
+        json.dump(rev_index.__dict__, f)
+    return (output_name+ ".json")
+
+
+    
+
 def generate_report(output_name,info_ ,only_body = False, unique_id_prefix='',fsave_format = False , function_list = None):
     '''
       Generate Auto-Vectorization Report in html format
     '''
+    temp_str =''
+    if FSAVE_INVERTED_INDEX == True and fsave_format == True:
+        return generate_inverted_index(output_name,info_ ,  function_list )
 
-    temp_str =''    
     if fsave_format ==True:
         # we gonna dump function_list as key list sorted by value
         #and use it as jscript array  
@@ -491,7 +654,10 @@ def generate_report(output_name,info_ ,only_body = False, unique_id_prefix='',fs
         if len(temp_str)>0:
             f.write(temp_str)
         if only_body==False:
-            f.write(footer())           
+            f.write(footer())  
+
+    return (output_name, output_name+".js") if fsave_format ==True else  (output_name)
+
 
 
 def fsave_report_launch(json_gz_list):
@@ -521,20 +687,40 @@ def fsave_report_launch(json_gz_list):
             cs.wait()
  
 
+class ArgumentParser(argparse.ArgumentParser):
 
+    def error(self, message):
+        self.print_help(sys.stderr)
+        self.exit(2, ' error: {0}\n'.format ( message))
 
 def main():
-    if "--fsave" in sys.argv:
+    parser =  ArgumentParser(description='Auto vectorization report')
+    parser.add_argument('--fsave', action='store_true', help='looks for json files generated by -fsave-optimization-record flag instead of waiting for the stdin')
+    parser.add_argument('--inverted_index', action='store_true', help='generate inverted_index for -fsave-optimization-record in json format')
+    parser.add_argument('--base_url', default='https://github.com/eclipse/deeplearning4j/tree/master/libnd4j/', help='url link for source code line view')
+    parser.add_argument('--compiler', choices=['gcc','nc++'], default = 'gcc')
+    parser.add_argument('--compiler_version',default='')
+    args = parser.parse_args()
+    init_global_options(args)
+    
+    if args.fsave:
         json_gz_list = internal_glob(".","*.json.gz")
         fsave_report_launch(json_gz_list)
         return        
+    #initialize globals
     
     file_info = obtain_info_from(sys.stdin)
+
+    if HAS_FSAVE==True:
+        json_gz_list = internal_glob(".","*.json.gz")
+        fsave_report_launch(json_gz_list)  
+        return
+
     if len(file_info)>0:
         #print(file_info)
         print("---generating vectorization html report--")
         generate_report("vecmiss.html", file_info)
-    else:
+    elif FALLBACK_TO_FSAVE_FILES == True:
         # lets check if we got fsave files
         json_gz_list = internal_glob(".","*.json.gz")
         fsave_report_launch(json_gz_list)
diff --git a/libnd4j/auto_vectorization/bigGzipJson.pyx b/libnd4j/auto_vectorization/bigGzipJson.pyx
index 277bd16ec..12d407741 100644
--- a/libnd4j/auto_vectorization/bigGzipJson.pyx
+++ b/libnd4j/auto_vectorization/bigGzipJson.pyx
@@ -312,7 +312,7 @@ def json_gzip_extract_objects(filename, property_name, next_contains_value=''):
         is_End = False
         #total = 0
         while is_End==False:
-            buffer  = f.read(8192*2)
+            buffer  = f.read(16384*2)
             
             lenx= len(buffer)
             #total +=lenx
@@ -341,7 +341,7 @@ def json_gzip_extract_objects(filename, property_name, next_contains_value=''):
                 strx = b''
                 #print('----+++')
                 
-            if(len(strx)>16384*3):
+            if(len(strx)>16384*4):
                 #buffer to big
                 #try to avoid big parents
                 if DEBUG_LOG:
diff --git a/libnd4j/auto_vectorization/cython_setup.py b/libnd4j/auto_vectorization/cython_setup.py
index 9dc6ef0c1..e1c5f8a92 100644
--- a/libnd4j/auto_vectorization/cython_setup.py
+++ b/libnd4j/auto_vectorization/cython_setup.py
@@ -1,3 +1,21 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
 from distutils.core import setup
 from Cython.Build import cythonize
 setup(ext_modules=cythonize("bigGzipJson.pyx",  language_level="3"))
diff --git a/libnd4j/auto_vectorization/inverted_index.py b/libnd4j/auto_vectorization/inverted_index.py
new file mode 100644
index 000000000..3e9845cdf
--- /dev/null
+++ b/libnd4j/auto_vectorization/inverted_index.py
@@ -0,0 +1,204 @@
+'''
+@author : Abdelrauf rauf@konduit.ai
+'''
+
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
+import json
+
+
+def get_compressed_indices_list(set_a):
+    '''Get compressed list from set '''
+    new_list = sorted(list(set_a)) 
+    for i in range(len(new_list)-1,0,-1):
+        new_list[i] = new_list[i] - new_list[i-1] 
+    return new_list
+
+def intersect_compressed_sorted_list(list1, list2):
+    len_1 = len(list1)
+    len_2 = len(list2)
+    intersected = []
+    last_1 ,last_2,i,j = 0,0,0,0
+    while ireal_j:
+            last_2 = real_j
+            j+=1
+        else:
+            #intersected
+            i+=1
+            j+=1
+            intersected.append(real_i)
+            last_1 = real_i
+            last_2 = real_j
+    return intersected
+
+
+class InvertedIndex:
+    ''' InvertedIndex for the auto_vect generated invert_index json format '''
+
+    def __init__(self, file_name):
+        with open(file_name,"r") as ifx:
+            self.index_obj = json.load(ifx)
+
+
+    def get_all_index(self, entry_name, predicate ):
+        '''
+         Parameters:
+         entry_name  {messages,files,function}
+         predicate  function
+         Returns:
+         list:   list of indexes
+        '''
+        return [idx for idx,x in enumerate(self.index_obj[entry_name]) if predicate(x)]
+
+    def get_all_index_value(self, entry_name, predicate ):
+        '''
+         Parameters:
+         entry_name  {messages,files,function}
+         predicate  function
+         Returns:
+         list:   list of indexes  ,values
+        '''
+        return [(idx, x) for idx,x in enumerate(self.index_obj[entry_name]) if predicate(x)]
+
+    def get_function_index(self, predicate = lambda x: True):
+        return self.get_all_index('functions', predicate)
+
+    def get_msg_index(self, predicate = lambda x: True):
+        return self.get_all_index('messages', predicate)
+
+    def get_file_index(self, predicate = lambda x: True):
+        return self.get_all_index('files', predicate)
+
+
+
+    def get_msg_postings(self, index ):
+        '''
+         Gets postings for the given message   
+         Parameters:
+         index   message index
+         Returns:
+         [[file index , line position , [ functions ]]]:  list of file index  line position and and compressed functions for the given message  
+        '''   
+        key =  str(index)
+        if not key in self.index_obj['msg_entries']:
+            return []
+        return self.index_obj['msg_entries'][key]
+
+
+
+    def intersect_postings(self, posting1, compressed_sorted_functions , sorted_files = None):
+        '''
+         Intersects postings with the given functions and sorted_files
+         Parameters:
+         posting1 postings. posting is [[file_id1,line, [compressed_functions]],..]
+         compressed_sorted_functions compressed sorted function index to be intersected
+         sorted_files  sorted index of files to be Intersected with the result [ default is None]
+         Returns:
+         filtered uncompressed posting
+        '''
+        new_postings = []
+        if sorted_files is not None:
+            i,j = 0,0
+            len_1 = len(posting1)
+            len_2 = len(sorted_files)
+            while ifile_2:
+                    j+=1
+                else:
+                    new_postings.append(posting1[i])
+                    i+=1
+                    #dont increase sorted_files in this case
+                    #j=+1
+
+        input_p =new_postings if sorted_files is not None else posting1
+        #search and intersect all functions
+        new_list = []
+        for p in input_p:
+            px = intersect_compressed_sorted_list(compressed_sorted_functions,p[2])
+            if len(px)>0:
+                new_list.append([p[0],p[1],px])
+        return new_list  
+
+   
+    def get_results_for_msg(self,  msg_index, functions, sorted_files = None):
+        '''
+         Return  filtered posting for the given msgs index
+         Parameters:
+         msg_index  message index
+         functions   function index list
+         sorted_files   intersects with sorted_files also (default: None)
+         Returns:
+         filtered uncompressed posting for msg index  [ [doc, line, [ function index]] ]
+        '''  
+        result = []
+        compressed = get_compressed_indices_list(functions)
+        ix = self.intersect_postings(self.get_msg_postings(msg_index) , compressed, sorted_files)
+        if len(ix)>0:
+            result.append(ix)
+        return result
+
+    def get_results_for_msg_grouped_by_func(self,  msg_index, functions, sorted_files = None):
+        '''
+         Return  {functions: set((doc_id, pos))} for the given msg index
+         Parameters:
+         msg_index  message index
+         functions   function index list
+         sorted_files   intersects with sorted_files also (default: None)
+         Returns:
+         {functions: set((doc_id, pos))}
+        '''  
+        result = {}
+        compressed = get_compressed_indices_list(functions)
+        ix = self.intersect_postings(self.get_msg_postings(msg_index) , compressed, sorted_files)
+        for t in ix:
+                for f in t[2]:
+                    if f in result:
+                        result[f].add((t[0],t[1]))
+                    else:
+                        result[f] = set()
+                        result[f].add((t[0],t[1]))
+        return result
+
+'''
+Example:
+
+import re
+rfile='vecmiss_fsave_inverted_index.json'
+import inverted_index as helper
+ind_obj = helper.InvertedIndex(rfile) 
+reg_ops = re.compile(r'simdOps')
+reg_msg = re.compile(r'success')
+simdOps = ind_obj.get_function_index(lambda x : reg_ops.search(x) )
+msgs    = ind_obj.get_msg_index(lambda x: reg_msg.search(x))
+files   = ind_obj.get_file_index(lambda x:  'cublas' in x)
+res     = ind_obj.get_results_for_msg(msgs[0],simdOps)
+
+'''
\ No newline at end of file
diff --git a/libnd4j/blas/CMakeLists.txt b/libnd4j/blas/CMakeLists.txt
index e258c24a1..15fd70c69 100755
--- a/libnd4j/blas/CMakeLists.txt
+++ b/libnd4j/blas/CMakeLists.txt
@@ -1,10 +1,13 @@
 ################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
+#
 #
 # This program and the accompanying materials are made available under the
 # terms of the Apache License, Version 2.0 which is available at
 # https://www.apache.org/licenses/LICENSE-2.0.
 #
+#  See the NOTICE file distributed with this work for additional
+#   information regarding copyright ownership.
+#
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -51,9 +54,9 @@ endif()
 
 if(WIN32 AND NOT ANDROID)
     get_property(dirs DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} PROPERTY INCLUDE_DIRECTORIES)
-	if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
-		set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wa,-mbig-obj")
-	endif()
+    if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wa,-mbig-obj")
+    endif()
     foreach(dir ${dirs})
         message(STATUS "dir='${dir}'")
     endforeach()
@@ -78,8 +81,10 @@ else()
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${SD_OPS_LIST}")
 endif()
 
-IF(${SD_ARCH} MATCHES "arm*")
+IF(${SD_ARCH} MATCHES "armv8")
     set(ARCH_TUNE "-march=${SD_ARCH}")
+ELSEIF(${SD_ARCH} MATCHES "armv7")
+    set(ARCH_TUNE "-march=${SD_ARCH} -mfpu=neon ")
 ELSEIF(${SD_ARCH} MATCHES "power*")
     set(ARCH_TUNE "-mcpu=${SD_ARCH} -mtune=${SD_ARCH} -D__POWER")
 ELSEIF(${SD_EXTENSION} MATCHES "avx2")
@@ -153,14 +158,15 @@ endif()
 if(SD_CUDA)
     message("Build cublas")
     find_package(CUDA)
+    set(CMAKE_CUDA_STANDARD 14)
     add_definitions(-D__CUDABLAS__=true)
     if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "MSVC")
         set (CMAKE_CXX_FLAGS "")
     endif()
 
     if (CUDA_FOUND)
-		message("CUDA include directory: ${CUDA_INCLUDE_DIRS}")
-		include_directories(${CUDA_INCLUDE_DIRS})
+        message("CUDA include directory: ${CUDA_INCLUDE_DIRS}")
+        include_directories(${CUDA_INCLUDE_DIRS})
         message("CUDA found!")
         if ("${SD_EXPERIMENTAL}" STREQUAL "yes")
             message("Experimental mode ENABLED")
@@ -179,7 +185,7 @@ if(SD_CUDA)
             set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler=-fPIC")
         endif()
 
-        string( TOLOWER "${COMPUTE}" COMPUTE_CMP ) 
+        string( TOLOWER "${COMPUTE}" COMPUTE_CMP )
         if ("${COMPUTE_CMP}" STREQUAL "all")
             CUDA_SELECT_NVCC_ARCH_FLAGS(CUDA_ARCH_FLAGS "Common")
         elseif("${COMPUTE_CMP}" STREQUAL "auto")
@@ -195,9 +201,9 @@ if(SD_CUDA)
         endif()
         # list to spaces
         string (REPLACE ";" " " CUDA_ARCH_FLAGS "${CUDA_ARCH_FLAGS}")
- 
+
         set(CMAKE_CUDA_FLAGS " ${CMAKE_CUDA_FLAGS} -DCUDA_VERSION_MAJOR=${CUDA_VERSION_MAJOR} ${EXPM} -w --cudart=static --expt-extended-lambda -Xfatbin -compress-all ${CUDA_ARCH_FLAGS}")
- 
+
         file(GLOB_RECURSE PERF_SOURCES false ../include/performance/*.cpp ../include/performance/*.h)
         file(GLOB_RECURSE EXCEPTIONS_SOURCES false ../include/exceptions/*.cpp ../include/exceptions/*.h)
         file(GLOB_RECURSE EXEC_SOURCES false ../include/execution/impl/*.cpp ../include/execution/*.cu ../include/execution/*.h)
@@ -208,7 +214,7 @@ if(SD_CUDA)
         file(GLOB_RECURSE CUSTOMOPS_SOURCES false ../include/ops/declarable/generic/*.cpp)
         file(GLOB_RECURSE CUSTOMOPS_HELPERS_SOURCES false ../include/ops/declarable/helpers/cuda/*.cu ../include/ops/declarable/helpers/impl/*.cpp)
         file(GLOB_RECURSE OPS_SOURCES false ../include/ops/impl/*.cpp ../include/ops/declarable/impl/*.cpp  ../include/ops/*.h)
-        file(GLOB_RECURSE HELPERS_SOURCES false ../include/helpers/impl/*.cpp ../include/helpers/*.cu ../include/helpers/*.cupp ../include/helpers/*.h)
+        file(GLOB_RECURSE HELPERS_SOURCES false ../include/build_info.cu ../include/helpers/impl/*.cpp ../include/helpers/*.cu ../include/helpers/*.cupp ../include/helpers/*.h)
         file(GLOB_RECURSE INDEXING_SOURCES false ../include/indexing/*.cpp ../include/indexing/*.h)
         file(GLOB_RECURSE LOOPS_SOURCES false ../include/loops/impl/*.cpp ../include/loops/*.h)
         file(GLOB_RECURSE LEGACY_SOURCES false ../include/legacy/impl/*.cpp  ../include/legacy/*.cu ../include/legacy/*.h)
@@ -216,23 +222,23 @@ if(SD_CUDA)
 
 
         file(GLOB_RECURSE COMPILATION_UNITS false ../include/loops/cuda/compilation_units/*.cu.in
-          ../include/ops/impl/compilation_units/*.cpp.in)
+                ../include/ops/impl/compilation_units/*.cpp.in)
 
-        foreach(FL_ITEM ${COMPILATION_UNITS})   
+        foreach(FL_ITEM ${COMPILATION_UNITS})
             genCompilation(FL_ITEM)
-        endforeach() 
+        endforeach()
 
         if (HAVE_CUDNN)
             message("cuDNN included")
             file(GLOB_RECURSE CUSTOMOPS_CUDNN_SOURCES false ../include/ops/declarable/platform/cudnn/*.cu)
         endif()
 
-		add_library(samediff_obj OBJECT ${LOOPS_SOURCES_CUDA} ${LEGACY_SOURCES}
+        add_library(samediff_obj OBJECT ${LOOPS_SOURCES_CUDA} ${LEGACY_SOURCES}
                 ${CUSTOMOPS_HELPERS_SOURCES} ${HELPERS_SOURCES} ${EXEC_SOURCES}
                 ${LOOPS_SOURCES} ${ARRAY_SOURCES} ${TYPES_SOURCES}
                 ${MEMORY_SOURCES} ${GRAPH_SOURCES} ${CUSTOMOPS_SOURCES} ${INDEXING_SOURCES} ${EXCEPTIONS_SOURCES} ${OPS_SOURCES} ${PERF_SOURCES} ${CUSTOMOPS_CUDNN_SOURCES} ${CUSTOMOPS_MKLDNN_SOURCES}
-				${CUSTOMOPS_ARMCOMPUTE_SOURCES} ${CUSTOMOPS_GENERIC_SOURCES}
-				)
+                ${CUSTOMOPS_ARMCOMPUTE_SOURCES} ${CUSTOMOPS_GENERIC_SOURCES}
+                )
 
         if (WIN32)
             message("MSVC runtime for library: ${MSVC_RT_LIB}")
@@ -264,10 +270,10 @@ if(SD_CUDA)
             SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /EHsc /bigobj /std:c++14")
         endif()
 
-		target_link_libraries(${SD_LIBRARY_NAME} ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_cusolver_LIBRARY} ${CUDNN} ${MKLDNN})
-	    set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${PROJECT_BINARY_DIR}/cuda)
+        target_link_libraries(${SD_LIBRARY_NAME} ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_cusolver_LIBRARY} ${CUDNN} ${MKLDNN})
+        set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${PROJECT_BINARY_DIR}/cuda)
 
-		install(TARGETS ${SD_LIBRARY_NAME} DESTINATION .)
+        install(TARGETS ${SD_LIBRARY_NAME} DESTINATION .)
     endif(CUDA_FOUND)
 elseif(SD_CPU)
 
@@ -288,18 +294,18 @@ elseif(SD_CPU)
     file(GLOB_RECURSE CUSTOMOPS_GENERIC_SOURCES false ../include/ops/declarable/helpers/cpu/*.cpp ../include/ops/declarable/helpers/impl/*.cpp)
     file(GLOB_RECURSE OPS_SOURCES false ../include/ops/impl/*.cpp ../include/ops/declarable/impl/*.cpp  ../include/ops/*.h)
     file(GLOB_RECURSE INDEXING_SOURCES false ../include/indexing/*.cpp ../include/indexing/*.h)
-    file(GLOB_RECURSE HELPERS_SOURCES false ../include/helpers/*.cpp ../include/helpers/*.h)
+    file(GLOB_RECURSE HELPERS_SOURCES false ../include/build_info.cpp ../include/helpers/*.cpp ../include/helpers/*.h)
     file(GLOB_RECURSE LEGACY_SOURCES false ../include/legacy/impl/*.cpp  ../include/legacy/cpu/*.cpp ../include/legacy/*.h)
     file(GLOB_RECURSE LOOPS_SOURCES false ../include/loops/*.cpp ../include/loops/*.h)
 
 
-    file(GLOB_RECURSE COMPILATION_UNITS false ../include/ops/declarable/helpers/cpu/compilation_units/*.cpp.in 
-    ../include/loops/cpu/compilation_units/*.cpp.in ../include/helpers/cpu/loops/*.cpp.in
-    ../include/ops/impl/compilation_units/*.cpp.in)
+    file(GLOB_RECURSE COMPILATION_UNITS false ../include/ops/declarable/helpers/cpu/compilation_units/*.cpp.in
+            ../include/loops/cpu/compilation_units/*.cpp.in ../include/helpers/cpu/loops/*.cpp.in
+            ../include/ops/impl/compilation_units/*.cpp.in)
 
-    foreach(FL_ITEM ${COMPILATION_UNITS})   
+    foreach(FL_ITEM ${COMPILATION_UNITS})
         genCompilation(FL_ITEM)
-    endforeach() 
+    endforeach()
 
     if (SD_X86_BUILD)
         # we disable platform optimizations for certains files for linux/macos
@@ -310,36 +316,36 @@ elseif(SD_CPU)
 
 
     if(SD_CHECK_VECTORIZATION)
-       set(VECT_FILES cpu/NativeOps.cpp ${OPS_SOURCES} ${HELPERS_SOURCES} ${CUSTOMOPS_GENERIC_SOURCES} ${LOOPS_SOURCES})
-       if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
-        
-        if (CMAKE_COMPILER_IS_GNUCC AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 9.0)
-            set(CHECK_VECT_FLAGS "-ftree-vectorize -fsave-optimization-record")
-            #to process fsave-optimization-record we will need our cython version code
-            message("Build Auto vectorization helpers")
-            execute_process(COMMAND "python3" "${CMAKE_CURRENT_SOURCE_DIR}/../auto_vectorization/cython_setup.py" "build_ext" "--inplace" WORKING_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/../auto_vectorization/" RESULT_VARIABLE ret)
-            message("build='${ret}'")
+        set(VECT_FILES cpu/NativeOps.cpp ${OPS_SOURCES} ${HELPERS_SOURCES} ${CUSTOMOPS_GENERIC_SOURCES} ${LOOPS_SOURCES})
+        if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
 
-            #remove fail cases that gcc fails produce sometimes
-            file(GLOB_RECURSE FAILURE_CASES false ../include/loops/cpu/compilation_units/reduce3*.cpp)
-            #message("*****${FAILURE_CASES}")
-            foreach(FL_ITEM ${FAILURE_CASES})
-                message("Removing failure cases ${FL_ITEM}")
-                list(REMOVE_ITEM VECT_FILES ${FL_ITEM})
-            endforeach() 
-        else()
-            set(CHECK_VECT_FLAGS "-ftree-vectorize -fopt-info-vec-optimized-missed")
+            if (CMAKE_COMPILER_IS_GNUCC AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 9.0)
+                set(CHECK_VECT_FLAGS "-ftree-vectorize -fsave-optimization-record")
+                #to process fsave-optimization-record we will need our cython version code
+                message("Build Auto vectorization helpers")
+                execute_process(COMMAND "python3" "${CMAKE_CURRENT_SOURCE_DIR}/../auto_vectorization/cython_setup.py" "build_ext" "--inplace" WORKING_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/../auto_vectorization/" RESULT_VARIABLE ret)
+                message("build='${ret}'")
+
+                #remove fail cases that gcc fails produce sometimes
+                file(GLOB_RECURSE FAILURE_CASES false ../include/loops/cpu/compilation_units/reduce3*.cpp)
+                #message("*****${FAILURE_CASES}")
+                foreach(FL_ITEM ${FAILURE_CASES})
+                    message("Removing failure cases ${FL_ITEM}")
+                    list(REMOVE_ITEM VECT_FILES ${FL_ITEM})
+                endforeach()
+            else()
+                set(CHECK_VECT_FLAGS "-ftree-vectorize -fopt-info-vec-optimized-missed")
+            endif()
+            message("CHECK VECTORIZATION ${CHECK_VECT_FLAGS}")
+            set_source_files_properties( ${VECT_FILES}  PROPERTIES COMPILE_FLAGS "${CHECK_VECT_FLAGS}" )
         endif()
-        message("CHECK VECTORIZATION ${CHECK_VECT_FLAGS}")
-        set_source_files_properties( ${VECT_FILES}  PROPERTIES COMPILE_FLAGS "${CHECK_VECT_FLAGS}" )
-       endif()
-    endif()    
+    endif()
 
     message("CPU BLAS")
     add_definitions(-D__CPUBLAS__=true)
     add_library(samediff_obj OBJECT ${LEGACY_SOURCES}
             ${LOOPS_SOURCES} ${HELPERS_SOURCES} ${EXEC_SOURCES} ${ARRAY_SOURCES} ${TYPES_SOURCES}
-            ${MEMORY_SOURCES} ${GRAPH_SOURCES} ${CUSTOMOPS_SOURCES} ${EXCEPTIONS_SOURCES} ${INDEXING_SOURCES} ${CUSTOMOPS_MKLDNN_SOURCES} 
+            ${MEMORY_SOURCES} ${GRAPH_SOURCES} ${CUSTOMOPS_SOURCES} ${EXCEPTIONS_SOURCES} ${INDEXING_SOURCES} ${CUSTOMOPS_MKLDNN_SOURCES}
             ${CUSTOMOPS_ARMCOMPUTE_SOURCES} ${CUSTOMOPS_GENERIC_SOURCES} ${OPS_SOURCES} ${PERF_SOURCES})
     if(IOS)
         add_library(${SD_LIBRARY_NAME} STATIC $)
@@ -366,7 +372,16 @@ elseif(SD_CPU)
     if (NOT BLAS_LIBRARIES)
         set(BLAS_LIBRARIES "")
     endif()
-    target_link_libraries(${SD_LIBRARY_NAME} ${MKLDNN}  ${MKLDNN_LIBRARIES} ${ARMCOMPUTE_LIBRARIES} ${OPENBLAS_LIBRARIES} ${BLAS_LIBRARIES} ${CPU_FEATURES})
+    get_cmake_property(_variableNames VARIABLES)
+    list (SORT _variableNames)
+    foreach (_variableName ${_variableNames})
+        message(STATUS "${_variableName}=${${_variableName}}")
+    endforeach()
+
+    #This breaks the build. Normally you want to run tests anyways.
+    if(NOT "$ENV{CLION_IDE}")
+        target_link_libraries(${SD_LIBRARY_NAME} ${MKLDNN}  ${MKLDNN_LIBRARIES} ${ARMCOMPUTE_LIBRARIES} ${OPENBLAS_LIBRARIES} ${BLAS_LIBRARIES} ${CPU_FEATURES})
+    endif()
 
     if ("${SD_ALL_OPS}" AND "${SD_BUILD_MINIFIER}")
         message(STATUS "Building minifier...")
@@ -375,7 +390,7 @@ elseif(SD_CPU)
     endif()
 
     if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU" AND "${CMAKE_CXX_COMPILER_VERSION}" VERSION_LESS 4.9)
-      message(FATAL_ERROR "You need at least GCC 4.9")
+        message(FATAL_ERROR "You need at least GCC 4.9")
     endif()
 
     # OpenMP works well pretty much only with GCC
diff --git a/libnd4j/buildnativeoperations.sh b/libnd4j/buildnativeoperations.sh
index 107906349..bcb664a76 100755
--- a/libnd4j/buildnativeoperations.sh
+++ b/libnd4j/buildnativeoperations.sh
@@ -1,19 +1,23 @@
 #!/usr/bin/env bash
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 set -eu
 
@@ -47,7 +51,6 @@ fi
 
 }
 
-
 export CMAKE_COMMAND="cmake"
 if which cmake3 &> /dev/null; then
     export CMAKE_COMMAND="cmake3"
@@ -199,17 +202,22 @@ fi
 
 case "$OS" in
     linux-armhf)
-      export RPI_BIN=$RPI_HOME/tools/arm-bcm2708/arm-rpi-4.9.3-linux-gnueabihf/bin/arm-linux-gnueabihf
-      export CMAKE_COMMAND="$CMAKE_COMMAND -D CMAKE_TOOLCHAIN_FILE=cmake/rpi.cmake -DSD_ARM_BUILD=true"
       if [ -z "$ARCH" ]; then
-        ARCH="armv7-r"
+        ARCH="armv7-a"
       fi
+      if [ ! -z ${RPI_BIN+set} ]; then
+        export CMAKE_COMMAND="$CMAKE_COMMAND -D CMAKE_TOOLCHAIN_FILE=cmake/rpi.cmake"
+      fi
+      export CMAKE_COMMAND="$CMAKE_COMMAND -DSD_ARM_BUILD=true -DSD_SANITIZE=OFF "
     ;;
 
     linux-arm64)
       if [ -z "$ARCH" ]; then
         ARCH="armv8-a"
       fi
+      if [ ! -z ${RPI_BIN+set} ]; then
+        export CMAKE_COMMAND="$CMAKE_COMMAND -D CMAKE_TOOLCHAIN_FILE=cmake/rpi.cmake"
+      fi      
       export CMAKE_COMMAND="$CMAKE_COMMAND -DSD_ARM_BUILD=true"
     ;;
 
@@ -369,7 +377,8 @@ case "$OS" in
 
       # Try some defaults for Visual Studio 2013 if user has not run vcvarsall.bat or something
       if [ -z "${VCINSTALLDIR:-}" ]; then
-        export VisualStudioVersion=12.0
+        echo "NEED TO SET DEFAULTS FOR VISUAL STUDIO, NO VCINSTALLDIR environment variable found"
+      	export VisualStudioVersion=12.0
         export VSINSTALLDIR="C:\\Program Files (x86)\\Microsoft Visual Studio $VisualStudioVersion"
         export VCINSTALLDIR="$VSINSTALLDIR\\VC"
         export WindowsSdkDir="C:\\Program Files (x86)\\Windows Kits\\8.1"
diff --git a/libnd4j/cibuild.sh b/libnd4j/cibuild.sh
index 337a2d746..2afe8d549 100755
--- a/libnd4j/cibuild.sh
+++ b/libnd4j/cibuild.sh
@@ -1,19 +1,23 @@
 #!/usr/bin/env bash
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 set -eu
 
diff --git a/libnd4j/cmake/FindARMCOMPUTE.cmake b/libnd4j/cmake/FindARMCOMPUTE.cmake
index ae0e1fbba..b0b2f5d11 100644
--- a/libnd4j/cmake/FindARMCOMPUTE.cmake
+++ b/libnd4j/cmake/FindARMCOMPUTE.cmake
@@ -1,10 +1,13 @@
 ################################################################################
-# Copyright (c) 2020 Konduit K.K.
+#
 #
 # This program and the accompanying materials are made available under the
 # terms of the Apache License, Version 2.0 which is available at
 # https://www.apache.org/licenses/LICENSE-2.0.
 #
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -18,6 +21,10 @@
 
 ### Find ARM COMPUTE LIBRARY STATIC libraries
 
+if (NOT DEFINED ${ARMCOMPUTE_ROOT})
+    set(ARMCOMPUTE_ROOT "$ENV{ARMCOMPUTE_ROOT}")
+endif()
+
 SET (COMPUTE_INCLUDE_DIRS 
     /usr/include
     ${ARMCOMPUTE_ROOT}
diff --git a/libnd4j/cmake/GenCompilation.cmake b/libnd4j/cmake/GenCompilation.cmake
index 9f977633d..0aca627c6 100644
--- a/libnd4j/cmake/GenCompilation.cmake
+++ b/libnd4j/cmake/GenCompilation.cmake
@@ -1,10 +1,13 @@
 ################################################################################
-# Copyright (c) 2020 Konduit K.K.
+#
 #
 # This program and the accompanying materials are made available under the
 # terms of the Apache License, Version 2.0 which is available at
 # https://www.apache.org/licenses/LICENSE-2.0.
 #
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/cmake/android-arm.cmake b/libnd4j/cmake/android-arm.cmake
index 4db515400..9a074db64 100644
--- a/libnd4j/cmake/android-arm.cmake
+++ b/libnd4j/cmake/android-arm.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build for Android 5.0 or newer. Sample usage:
 #
 set(CMAKE_SYSTEM_NAME Android)
diff --git a/libnd4j/cmake/android-arm64.cmake b/libnd4j/cmake/android-arm64.cmake
index 68a4e60a5..c2cb87eee 100644
--- a/libnd4j/cmake/android-arm64.cmake
+++ b/libnd4j/cmake/android-arm64.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build for Android 5.0 or newer. Sample usage:
 #
 set(CMAKE_SYSTEM_NAME Android)
diff --git a/libnd4j/cmake/android-x86.cmake b/libnd4j/cmake/android-x86.cmake
index be6600bcc..eb48303d2 100644
--- a/libnd4j/cmake/android-x86.cmake
+++ b/libnd4j/cmake/android-x86.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build for Android 5.0 or newer. Sample usage:
 #
 set(CMAKE_SYSTEM_NAME Android)
diff --git a/libnd4j/cmake/android-x86_64.cmake b/libnd4j/cmake/android-x86_64.cmake
index ea9b5e356..cb35cd13b 100644
--- a/libnd4j/cmake/android-x86_64.cmake
+++ b/libnd4j/cmake/android-x86_64.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build for Android 5.0 or newer. Sample usage:
 
 set(CMAKE_SYSTEM_NAME Android)
diff --git a/libnd4j/cmake/ios-arm.cmake b/libnd4j/cmake/ios-arm.cmake
index d58a7fa85..9eb80ad96 100644
--- a/libnd4j/cmake/ios-arm.cmake
+++ b/libnd4j/cmake/ios-arm.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build libnd4j for iOS for 32-bit architecture cpu armv7. Sample usage:
 #
 # cmake -DCMAKE_TOOLCHAIN_FILE=ios-arm.cmake -DCMAKE_INSTALL_PREFIX=..
diff --git a/libnd4j/cmake/ios-arm64.cmake b/libnd4j/cmake/ios-arm64.cmake
index fbd4d3bc6..6c742199d 100644
--- a/libnd4j/cmake/ios-arm64.cmake
+++ b/libnd4j/cmake/ios-arm64.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build libnd4j for iOS for 64-bit architecture cpu arm64. Sample usage:
 #
 # cmake -DCMAKE_TOOLCHAIN_FILE=ios-arm64.cmake -DCMAKE_INSTALL_PREFIX=..
diff --git a/libnd4j/cmake/ios-armv7.cmake b/libnd4j/cmake/ios-armv7.cmake
index adfd28ccc..21638d65a 100644
--- a/libnd4j/cmake/ios-armv7.cmake
+++ b/libnd4j/cmake/ios-armv7.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build libnd4j for iOS armv7. Sample usage:
 #
 # cmake -DCMAKE_TOOLCHAIN_FILE=ios-armv7.cmake -DCMAKE_INSTALL_PREFIX=..
diff --git a/libnd4j/cmake/ios-x86.cmake b/libnd4j/cmake/ios-x86.cmake
index ebbfa8bd1..00ccf1944 100644
--- a/libnd4j/cmake/ios-x86.cmake
+++ b/libnd4j/cmake/ios-x86.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build libnd4j for 32-bit iOS Simulator. Sample usage:
 #
 # cmake -DCMAKE_TOOLCHAIN_FILE=ios-x86.cmake -DCMAKE_INSTALL_PREFIX=..
diff --git a/libnd4j/cmake/ios-x86_64.cmake b/libnd4j/cmake/ios-x86_64.cmake
index 62c747134..1238010c3 100644
--- a/libnd4j/cmake/ios-x86_64.cmake
+++ b/libnd4j/cmake/ios-x86_64.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # CMake toolchain to build libnd4j for 64-bit iOS Simulator. Sample usage:
 #
 # cmake -DCMAKE_TOOLCHAIN_FILE=ios-x86_64.cmake -DCMAKE_INSTALL_PREFIX=..
diff --git a/libnd4j/cmake/msys2.cmake b/libnd4j/cmake/msys2.cmake
index f68b8f7ba..50f2d96d6 100644
--- a/libnd4j/cmake/msys2.cmake
+++ b/libnd4j/cmake/msys2.cmake
@@ -1,3 +1,21 @@
+################################################################################
+#
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
 # Use this command to build the Windows port of Allegro
 # with a mingw cross compiler:
 #
diff --git a/libnd4j/cmake/postinst b/libnd4j/cmake/postinst
index df4e554fd..ef76f7bf8 100755
--- a/libnd4j/cmake/postinst
+++ b/libnd4j/cmake/postinst
@@ -1,4 +1,24 @@
 #!/bin/sh
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 if [ -f "/usr/local/lib/libnd4jcpu.so" ]; then
     cat >/etc/ld.so.conf.d/libnd4jcpu.conf < properties);
 
@@ -117,8 +122,11 @@ namespace sd {
 
         static FORCEINLINE _CUDA_HD bool hasExtraProperties(Nd4jLong *shapeInfo);
 
+        static FORCEINLINE _CUDA_HD bool hasPaddedBuffer(const Nd4jLong* shapeInfo);
+        static FORCEINLINE _CUDA_HD void flagAsPaddedBuffer(Nd4jLong* shapeInfo);
 
         static FORCEINLINE _CUDA_HD void resetDataType(Nd4jLong *shapeInfo);
+        static FORCEINLINE _CUDA_HD Nd4jLong propertyWithoutDataType(const Nd4jLong *shapeInfo);
         static FORCEINLINE _CUDA_HD void setDataType(Nd4jLong *shapeInfo, const sd::DataType dataType);
 
         static FORCEINLINE _CUDA_HD void copyDataType(Nd4jLong* to, const Nd4jLong* from);
@@ -253,7 +261,7 @@ namespace sd {
     }
 
     FORCEINLINE _CUDA_HD void ArrayOptions::unsetPropertyBit(Nd4jLong *shapeInfo, int property) {
-        extra(shapeInfo) &= property;
+        extra(shapeInfo) &= ~property;
     }
 
     FORCEINLINE _CUDA_HD SparseType ArrayOptions::sparseType(const Nd4jLong *shapeInfo) {
@@ -283,17 +291,37 @@ namespace sd {
         }
     }
 
+    FORCEINLINE _CUDA_HD void ArrayOptions::flagAsPaddedBuffer(Nd4jLong* shapeInfo) {
+        if (!isNewFormat(shapeInfo))
+            return ;
+
+        return setPropertyBit(shapeInfo, ARRAY_HAS_PADDED_BUFFER);
+    }
+
+    FORCEINLINE _CUDA_HD bool ArrayOptions::hasPaddedBuffer(const Nd4jLong* shapeInfo) {
+        if (!isNewFormat(shapeInfo))
+            return false;
+
+        return hasPropertyBitSet(shapeInfo, ARRAY_HAS_PADDED_BUFFER);
+    }
+
+    FORCEINLINE _CUDA_HD Nd4jLong ArrayOptions::propertyWithoutDataType(const Nd4jLong *shapeInfo){
+        Nd4jLong property = shapeInfo[shapeInfo[0] + shapeInfo[0] + 1];
+        property = property & (~ARRAY_BOOL);
+        property = property & (~ARRAY_HALF);
+        property = property & (~ARRAY_BHALF);
+        property = property & (~ARRAY_FLOAT);
+        property = property & (~ARRAY_DOUBLE);
+        property = property & (~ARRAY_INT);
+        property = property & (~ARRAY_LONG);
+        property = property & (~ARRAY_CHAR);
+        property = property & (~ARRAY_SHORT);
+        property = property & (~ARRAY_UNSIGNED);
+        return property;
+    }
+
     FORCEINLINE _CUDA_HD void ArrayOptions::resetDataType(Nd4jLong *shapeInfo) {
-        unsetPropertyBit(shapeInfo, ARRAY_BOOL);
-        unsetPropertyBit(shapeInfo, ARRAY_HALF);
-        unsetPropertyBit(shapeInfo, ARRAY_BHALF);
-        unsetPropertyBit(shapeInfo, ARRAY_FLOAT);
-        unsetPropertyBit(shapeInfo, ARRAY_DOUBLE);
-        unsetPropertyBit(shapeInfo, ARRAY_INT);
-        unsetPropertyBit(shapeInfo, ARRAY_LONG);
-        unsetPropertyBit(shapeInfo, ARRAY_CHAR);
-        unsetPropertyBit(shapeInfo, ARRAY_SHORT);
-        unsetPropertyBit(shapeInfo, ARRAY_UNSIGNED);
+        extra(shapeInfo) = propertyWithoutDataType(shapeInfo);
     }
 
     FORCEINLINE _CUDA_HD void ArrayOptions::setDataType(Nd4jLong *shapeInfo, const sd::DataType dataType) {
diff --git a/libnd4j/include/array/ArrayType.h b/libnd4j/include/array/ArrayType.h
index 83e80bc0f..ff363fd57 100644
--- a/libnd4j/include/array/ArrayType.h
+++ b/libnd4j/include/array/ArrayType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/ByteOrder.h b/libnd4j/include/array/ByteOrder.h
index 121be9e9d..f67c4248a 100644
--- a/libnd4j/include/array/ByteOrder.h
+++ b/libnd4j/include/array/ByteOrder.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/ByteOrderUtils.h b/libnd4j/include/array/ByteOrderUtils.h
index 0f335ea65..04155f38a 100644
--- a/libnd4j/include/array/ByteOrderUtils.h
+++ b/libnd4j/include/array/ByteOrderUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/ConstantDataBuffer.h b/libnd4j/include/array/ConstantDataBuffer.h
index 197b93307..218054abd 100644
--- a/libnd4j/include/array/ConstantDataBuffer.h
+++ b/libnd4j/include/array/ConstantDataBuffer.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/ConstantDescriptor.h b/libnd4j/include/array/ConstantDescriptor.h
index 89e36c2a9..811320fc3 100644
--- a/libnd4j/include/array/ConstantDescriptor.h
+++ b/libnd4j/include/array/ConstantDescriptor.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/ConstantHolder.h b/libnd4j/include/array/ConstantHolder.h
index a404e5808..46709cfb7 100644
--- a/libnd4j/include/array/ConstantHolder.h
+++ b/libnd4j/include/array/ConstantHolder.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/array/ConstantOffsetsBuffer.h b/libnd4j/include/array/ConstantOffsetsBuffer.h
index 61c1e381f..51eda590e 100644
--- a/libnd4j/include/array/ConstantOffsetsBuffer.h
+++ b/libnd4j/include/array/ConstantOffsetsBuffer.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/array/ConstantShapeBuffer.h b/libnd4j/include/array/ConstantShapeBuffer.h
index 299653271..a3494ddaf 100644
--- a/libnd4j/include/array/ConstantShapeBuffer.h
+++ b/libnd4j/include/array/ConstantShapeBuffer.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/array/CudaPointerDeallocator.h b/libnd4j/include/array/CudaPointerDeallocator.h
index c5c817aeb..0163f49ea 100644
--- a/libnd4j/include/array/CudaPointerDeallocator.h
+++ b/libnd4j/include/array/CudaPointerDeallocator.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/DataBuffer.h b/libnd4j/include/array/DataBuffer.h
index 59ffe3045..4ebae0da8 100644
--- a/libnd4j/include/array/DataBuffer.h
+++ b/libnd4j/include/array/DataBuffer.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/DataType.h b/libnd4j/include/array/DataType.h
index cf8baf7d0..bed6cbe9a 100644
--- a/libnd4j/include/array/DataType.h
+++ b/libnd4j/include/array/DataType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/DataTypeConversions.h b/libnd4j/include/array/DataTypeConversions.h
index 44f555533..378a6bb1a 100644
--- a/libnd4j/include/array/DataTypeConversions.h
+++ b/libnd4j/include/array/DataTypeConversions.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/DataTypeUtils.h b/libnd4j/include/array/DataTypeUtils.h
index 686b5bc97..caf43d7ba 100644
--- a/libnd4j/include/array/DataTypeUtils.h
+++ b/libnd4j/include/array/DataTypeUtils.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/array/ExtraArguments.h b/libnd4j/include/array/ExtraArguments.h
index 131e8cd92..3cf74183b 100644
--- a/libnd4j/include/array/ExtraArguments.h
+++ b/libnd4j/include/array/ExtraArguments.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/InteropDataBuffer.h b/libnd4j/include/array/InteropDataBuffer.h
index 27b17aabb..92316a0d8 100644
--- a/libnd4j/include/array/InteropDataBuffer.h
+++ b/libnd4j/include/array/InteropDataBuffer.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/NDArray.h b/libnd4j/include/array/NDArray.h
index 67452dda2..76c6ce41c 100644
--- a/libnd4j/include/array/NDArray.h
+++ b/libnd4j/include/array/NDArray.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -463,6 +465,11 @@ namespace sd {
         */
         FORCEINLINE Nd4jLong bufferOffset() const;
 
+        /**
+         *  checks if array has padded buffer
+         */
+        FORCEINLINE bool hasPaddedBuffer() const;
+
         /**
         *  if _bufferD==nullptr return _buffer, else return _bufferD
         */
@@ -1744,7 +1751,7 @@ bool NDArray::isEmpty() const {
     if (this->_shapeInfo == nullptr)
         return false;
 
-    return ArrayOptions::arrayType(this->shapeInfo()) == ArrayType::EMPTY;
+    return ArrayOptions::arrayType(this->shapeInfo()) == ArrayType::EMPTY || this->lengthOf() < 1;
 }
 
 //////////////////////////////////////////////////////////////////////////
@@ -1781,9 +1788,11 @@ T& NDArray::r(const Nd4jLong i) {
 
     // if (i >= _length)
     //     throw std::invalid_argument("NDArray::t(i): input index is out of array length !");
-    if (DataTypeUtils::fromT() != _dataType)
+    auto inputDtype = DataTypeUtils::fromT();
+    if (inputDtype != _dataType) {
+        nd4j_printf("Expected data type was %d but was %d\n",_dataType,inputDtype);
         throw std::invalid_argument("NDArray::t(i): type of array is not equal to template type T!");
-
+    }
     syncToHost();
     tickWriteHost();
 
@@ -1796,9 +1805,11 @@ T& NDArray::r(const Nd4jLong i, const Nd4jLong j) {
 
     if (rankOf() != 2 || i >= sizeAt(0) || j >= sizeAt(1))
             throw std::invalid_argument("NDArray::t(i,j): one of input indexes is out of array length or rank!=2 !");
-    if (DataTypeUtils::fromT() != _dataType)
+    auto inputDtype = DataTypeUtils::fromT();
+    if (inputDtype != _dataType) {
+        nd4j_printf("Expected data type was %d but was %d\n", _dataType, inputDtype);
         throw std::invalid_argument("NDArray::t(i,j): type of array is not equal to template type T!");
-
+    }
     syncToHost();
     tickWriteHost();
 
@@ -1839,8 +1850,11 @@ T NDArray::t(const Nd4jLong i) const {
 
     // if (i >= _length)
     //     throw std::invalid_argument("NDArray::t(i): input index is out of array length !");
-    if (DataTypeUtils::fromT() != _dataType)
+    auto inputDtype = DataTypeUtils::fromT();
+    if (inputDtype != _dataType) {
+        nd4j_printf("Expected data type was %d but was %d\n", _dataType, inputDtype);
         throw std::invalid_argument("NDArray::t(i): type of array is not equal to template type T!");
+    }
 
     syncToHost();
 
@@ -1853,9 +1867,11 @@ T NDArray::t(const Nd4jLong i, const Nd4jLong j) const {
 
     if (rankOf() != 2 || i >= sizeAt(0) || j >= sizeAt(1))
             throw std::invalid_argument("NDArray::t(i,j): one of input indexes is out of array length or rank!=2 !");
-    if (DataTypeUtils::fromT() != _dataType)
+     auto inputDtype = DataTypeUtils::fromT();
+    if (inputDtype != _dataType) {
+        nd4j_printf("Expected data type was %d but was %d\n", _dataType, inputDtype);
         throw std::invalid_argument("NDArray::t(i,j): type of array is not equal to template type T!");
-
+    }
     syncToHost();
 
     return *(reinterpret_cast(bufferWithOffset(i * strideAt(0) + j * strideAt(1))));
@@ -1867,9 +1883,11 @@ T NDArray::t(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const {
 
     if (rankOf() != 3 || i >= sizeAt(0) || j >= sizeAt(1) || k >= sizeAt(2))
         throw std::invalid_argument("NDArray::t(i,j,k): one of input indexes is out of array length or rank!=3!");
-    if (DataTypeUtils::fromT() != _dataType)
+     auto inputDtype = DataTypeUtils::fromT();
+    if (inputDtype != _dataType) {
+        nd4j_printf("Expected data type was %d but was %d\n", _dataType, inputDtype);
         throw std::invalid_argument("NDArray::t(i,j,k): type of array is not equal to template type T!");
-
+    }
     syncToHost();
 
     return *(reinterpret_cast(bufferWithOffset(i * strideAt(0) + j * strideAt(1) + k * strideAt(2))));
@@ -1881,9 +1899,11 @@ T NDArray::t(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLon
 
     if (rankOf() != 4 || i >= sizeAt(0) || j >= sizeAt(1) || k >= sizeAt(2) || w >= sizeAt(3))
         throw std::invalid_argument("NDArray::t(i,j,k,w): one of input indexes is out of array length or rank!=4!");
-    if (DataTypeUtils::fromT() != _dataType)
+     auto inputDtype = DataTypeUtils::fromT();
+    if (inputDtype != _dataType) {
+        nd4j_printf("Expected data type was %d but was %d\n", _dataType, inputDtype);
         throw std::invalid_argument("NDArray::t(i,j,k,w): type of array is not equal to template type T!");
-
+    }
     syncToHost();
 
     return *(reinterpret_cast(bufferWithOffset(i * strideAt(0) + j * strideAt(1) + k * strideAt(2) + w * strideAt(3))));
@@ -1929,6 +1949,11 @@ Nd4jLong NDArray::bufferOffset() const {
     return _offset;
 }
 
+////////////////////////////////////////////////////////////////////////
+bool NDArray::hasPaddedBuffer() const {
+    return ArrayOptions::hasPaddedBuffer(_shapeInfo);
+}
+
 
 #if defined(__CUDACC__) //&& defined(BUILD_TESTS)
 // for CUDA we need stil stuff inline
diff --git a/libnd4j/include/array/NDArray.hXX b/libnd4j/include/array/NDArray.hXX
index cfd910343..acfdc9e4d 100644
--- a/libnd4j/include/array/NDArray.hXX
+++ b/libnd4j/include/array/NDArray.hXX
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 // $NDArray.hpp - architech-independent implementations (both cuda and cpu).
 //
@@ -29,189 +32,189 @@
 
 namespace sd {
 
-template <>
-ND4J_EXPORT utf8string NDArray::e(const Nd4jLong i) const;
-template <>
-ND4J_EXPORT std::string NDArray::e(const Nd4jLong i) const;
-template <>
-ND4J_EXPORT std::u16string NDArray::e(const Nd4jLong i) const;
-template <>
-ND4J_EXPORT std::u32string NDArray::e(const Nd4jLong i) const;
+    template <>
+    ND4J_EXPORT utf8string NDArray::e(const Nd4jLong i) const;
+    template <>
+    ND4J_EXPORT std::string NDArray::e(const Nd4jLong i) const;
+    template <>
+    ND4J_EXPORT std::u16string NDArray::e(const Nd4jLong i) const;
+    template <>
+    ND4J_EXPORT std::u32string NDArray::e(const Nd4jLong i) const;
 
 ////////////////////////////////////////////////////////////////////////
 // copy constructor
-NDArray::NDArray(const NDArray& other) {
+    NDArray::NDArray(const NDArray& other) {
 
-    _context = other._context;
-    _offset  = 0;
+        _context = other._context;
+        _offset  = 0;
 
-    setShapeInfo(ShapeDescriptor(other.dataType(), other.ordering(), other.shapeOf(), other.rankOf()));
+        setShapeInfo(ShapeDescriptor(other.dataType(), other.ordering(), other.shapeOf(), other.rankOf()));
 
-    if(!isEmpty()) {
-        _buffer = std::make_shared(other.lengthOf() * other.sizeOfT(), other.dataType(), other.getContext()->getWorkspace());
-        this->assign(&other);
+        if(!isEmpty()) {
+            _buffer = std::make_shared(other.lengthOf() * other.sizeOfT(), other.dataType(), other.getContext()->getWorkspace());
+            this->assign(&other);
+        }
+        else
+            _buffer = std::make_shared();
     }
-    else
-        _buffer = std::make_shared();
-}
 
 ////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const char order, const std::vector &shape, sd::DataType dtype, sd::LaunchContext * context) {
+    NDArray::NDArray(const char order, const std::vector &shape, sd::DataType dtype, sd::LaunchContext * context) {
 
-    if ((int) shape.size() > MAX_RANK)
-        throw std::invalid_argument("Rank of NDArray can't exceed 32");
+        if ((int) shape.size() > MAX_RANK)
+            throw std::invalid_argument("Rank of NDArray can't exceed 32");
 
-    _context = context;
-    _isAttached = _context->getWorkspace() != nullptr;
-    _offset = 0;
+        _context = context;
+        _isAttached = _context->getWorkspace() != nullptr;
+        _offset = 0;
 
-    if (shape.empty())
-        setShapeInfo(ShapeDescriptor::emptyDescriptor(dtype));
-    else
-        setShapeInfo(ShapeDescriptor(dtype, order, shape));
-
-    _buffer = std::make_shared(lengthOf() * DataTypeUtils::sizeOf(dtype), dtype, getContext()->getWorkspace());
-    _buffer->setToZeroBuffers();
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const char order, const std::vector &shape, const std::vector& data, sd::DataType dtype, sd::LaunchContext * context) {
-
-    if ((int) shape.size() > MAX_RANK)
-        throw std::invalid_argument("Rank of NDArray can't exceed 32");
-
-    _context = context;
-    _offset  = 0;
-
-    if (shape.size() == 0) {
-        if (data.size() == 0)
+        if (shape.empty())
             setShapeInfo(ShapeDescriptor::emptyDescriptor(dtype));
         else
-            setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
-    } else {
+            setShapeInfo(ShapeDescriptor(dtype, order, shape));
+
+        _buffer = std::make_shared(lengthOf() * DataTypeUtils::sizeOf(dtype), dtype, getContext()->getWorkspace());
+        _buffer->setToZeroBuffers();
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray::NDArray(const char order, const std::vector &shape, const std::vector& data, sd::DataType dtype, sd::LaunchContext * context) {
+
+        if ((int) shape.size() > MAX_RANK)
+            throw std::invalid_argument("Rank of NDArray can't exceed 32");
+
+        _context = context;
+        _offset  = 0;
+
+        if (shape.size() == 0) {
+            if (data.size() == 0)
+                setShapeInfo(ShapeDescriptor::emptyDescriptor(dtype));
+            else
+                setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
+        } else {
+            setShapeInfo(ShapeDescriptor(dtype, order, shape));
+        }
+
+        if (lengthOf() != data.size()) {
+            nd4j_printf("NDArray constructor: data size [%i] doesn't match shape length [%i]\n", data.size(), lengthOf());
+            throw std::runtime_error("Data size doesn't match shape");
+        }
+
+        _buffer = std::make_shared(lengthOf() * DataTypeUtils::sizeOf(dtype), dtype, getContext()->getWorkspace(), true);
+
+        for(Nd4jLong i=0; i < lengthOf(); ++i) {
+            BUILD_SINGLE_PARTIAL_SELECTOR(dtype, templatedDoubleAssign<, double>(buffer(), i, reinterpret_cast(data.data()), i), LIBND4J_TYPES);
+        }
+        tickWriteHost();
+        syncToDevice();
+    }
+
+
+////////////////////////////////////////////////////////////////////////
+    NDArray::NDArray(const NDArray *other, const bool copyStrides, sd::LaunchContext* context) {
+
+        _context = context;
+        _offset  = 0;
+        _isAttached = getContext()->getWorkspace() != nullptr;
+
+        if (copyStrides)
+            setShapeInfo(ShapeDescriptor(other->_shapeInfo));
+        else
+            setShapeInfo(ShapeDescriptor(other->dataType(), other->ordering(), other->shapeOf(), other->rankOf()));
+
+        if (!isEmpty())
+            _buffer = std::make_shared(lengthOf() * sizeOfT(), dataType(), getContext()->getWorkspace());
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray::NDArray(void* buffer, const char order, const std::vector &shape,  sd::DataType dtype, sd::LaunchContext * context, const bool isBuffAlloc) {
+
+        if (shape.empty())
+            throw std::runtime_error("NDArray constructor: input shape is empty !");
+
+        if ((int) shape.size() > MAX_RANK)
+            throw std::invalid_argument("Rank of NDArray can't exceed 32");
+
+        _context = context;
+        _offset  = 0;
+        _isAttached = getContext()->getWorkspace() != nullptr;
+
         setShapeInfo(ShapeDescriptor(dtype, order, shape));
+
+        _buffer = std::make_shared(buffer, lengthOf() * sizeOfT(), dataType(), isBuffAlloc, getContext()->getWorkspace());
     }
 
-    if (lengthOf() != data.size()) {
-        nd4j_printf("NDArray constructor: data size [%i] doesn't match shape length [%i]\n", data.size(), lengthOf());
-        throw std::runtime_error("Data size doesn't match shape");
-    }
-
-    _buffer = std::make_shared(lengthOf() * DataTypeUtils::sizeOf(dtype), dtype, getContext()->getWorkspace(), true);
-
-    for(Nd4jLong i=0; i < lengthOf(); ++i) {
-        BUILD_SINGLE_PARTIAL_SELECTOR(dtype, templatedDoubleAssign<, double>(buffer(), i, reinterpret_cast(data.data()), i), LIBND4J_TYPES);
-    }
-    tickWriteHost();
-    syncToDevice();
-}
-
-
-////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const NDArray *other, const bool copyStrides, sd::LaunchContext* context) {
-
-    _context = context;
-    _offset  = 0;
-    _isAttached = getContext()->getWorkspace() != nullptr;
-
-    if (copyStrides)
-        setShapeInfo(ShapeDescriptor(other->_shapeInfo));
-    else
-        setShapeInfo(ShapeDescriptor(other->dataType(), other->ordering(), other->shapeOf(), other->rankOf()));
-
-    if (!isEmpty())
-        _buffer = std::make_shared(lengthOf() * sizeOfT(), dataType(), getContext()->getWorkspace());
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(void* buffer, const char order, const std::vector &shape,  sd::DataType dtype, sd::LaunchContext * context, const bool isBuffAlloc) {
-
-    if (shape.empty())
-        throw std::runtime_error("NDArray constructor: input shape is empty !");
-
-    if ((int) shape.size() > MAX_RANK)
-        throw std::invalid_argument("Rank of NDArray can't exceed 32");
-
-    _context = context;
-    _offset  = 0;
-    _isAttached = getContext()->getWorkspace() != nullptr;
-
-    setShapeInfo(ShapeDescriptor(dtype, order, shape));
-
-    _buffer = std::make_shared(buffer, lengthOf() * sizeOfT(), dataType(), isBuffAlloc, getContext()->getWorkspace());
-}
-
 ////////////////////////////////////////////////////////////////////////
 // creates new NDArray using shape information from "shapeInfo" array, set all elements in new array to be zeros
-NDArray::NDArray(const Nd4jLong* shapeInfo, const sd::DataType dtype, const bool copyStrides, sd::LaunchContext * context, const bool nullify) {
+    NDArray::NDArray(const Nd4jLong* shapeInfo, const sd::DataType dtype, const bool copyStrides, sd::LaunchContext * context, const bool nullify) {
 
-    if (shapeInfo == nullptr)
-        throw std::runtime_error("NDArray constructor: can't be initalized without shapeinfo");
+        if (shapeInfo == nullptr)
+            throw std::runtime_error("NDArray constructor: can't be initalized without shapeinfo");
 
-    if ((int) shapeInfo[0] > MAX_RANK)
-        throw std::invalid_argument("Rank of NDArray can't exceed 32");
+        if ((int) shapeInfo[0] > MAX_RANK)
+            throw std::invalid_argument("Rank of NDArray can't exceed 32");
 
-    _context = context;
-    _offset  = 0;
+        _context = context;
+        _offset  = 0;
 
-    if (copyStrides)
-        setShapeInfo(ShapeDescriptor(shapeInfo, dtype));
-    else
-        setShapeInfo(ShapeDescriptor(dtype, shape::order(shapeInfo), shape::shapeOf(shapeInfo), shape::rank(shapeInfo)));
+        if (copyStrides)
+            setShapeInfo(ShapeDescriptor(shapeInfo, dtype));
+        else
+            setShapeInfo(ShapeDescriptor(dtype, shape::order(shapeInfo), shape::shapeOf(shapeInfo), shape::rank(shapeInfo)));
 
-    if (!isEmpty()) {
-        _buffer = std::make_shared(lengthOf() * sizeOfT(), dtype, getContext()->getWorkspace());
+        if (!isEmpty()) {
+            _buffer = std::make_shared(lengthOf() * sizeOfT(), dtype, getContext()->getWorkspace());
 
-        if (nullify)
-            _buffer->setToZeroBuffers();
+            if (nullify)
+                _buffer->setToZeroBuffers();
+        }
     }
-}
 
 ////////////////////////////////////////////////////////////////////////
 // scalar constructor
-NDArray::NDArray(sd::DataType dtype, sd::LaunchContext* context, const bool isScalar) {
+    NDArray::NDArray(sd::DataType dtype, sd::LaunchContext* context, const bool isScalar) {
 
-    _context = context;
-    _offset  = 0;
-    _isAttached = getContext()->getWorkspace() != nullptr;
+        _context = context;
+        _offset  = 0;
+        _isAttached = getContext()->getWorkspace() != nullptr;
 
-    if (isScalar) {
-        setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
-        _buffer = std::make_shared(sizeOfT(), dtype, getContext()->getWorkspace());
-        _buffer->setToZeroBuffers();
+        if (isScalar) {
+            setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
+            _buffer = std::make_shared(sizeOfT(), dtype, getContext()->getWorkspace());
+            _buffer->setToZeroBuffers();
+        }
+        else
+            setShapeInfo(ConstantShapeHelper::getInstance().emptyShapeInfo(dtype));
     }
-    else
-        setShapeInfo(ConstantShapeHelper::getInstance().emptyShapeInfo(dtype));
-}
 
 //////////////////////////////////////////////////////////////////////////
 // move constructor
-NDArray::NDArray(NDArray&& other) noexcept {
+    NDArray::NDArray(NDArray&& other) noexcept {
 
-    _isView       = other._isView;
-    _buffer       = other._buffer;
-    _shapeInfo    = other._shapeInfo;
-    _shapeInfoD   = other._shapeInfoD;
-    _context      = other._context;
-    _dataType     = other._dataType;
-    _length       = other._length;
-    _offset       = other._offset;
+        _isView       = other._isView;
+        _buffer       = other._buffer;
+        _shapeInfo    = other._shapeInfo;
+        _shapeInfoD   = other._shapeInfoD;
+        _context      = other._context;
+        _dataType     = other._dataType;
+        _length       = other._length;
+        _offset       = other._offset;
 
-    other._buffer = std::make_shared();
-    other._shapeInfo = other._shapeInfoD = nullptr;
-    other._length = 0;
-}
+        other._buffer = std::make_shared();
+        other._shapeInfo = other._shapeInfoD = nullptr;
+        other._length = 0;
+    }
 
 ////////////////////////////////////////////////////////////////////////
 //constructor, create empty array at given workspace
-NDArray::NDArray(sd::LaunchContext * context) {
-    _buffer    = std::make_shared();
-    _shapeInfo = nullptr;
-    _shapeInfoD = nullptr;
-    _offset     = 0;
-    _context = context;
-    _length = 0;
-}
+    NDArray::NDArray(sd::LaunchContext * context) {
+        _buffer    = std::make_shared();
+        _shapeInfo = nullptr;
+        _shapeInfoD = nullptr;
+        _offset     = 0;
+        _context = context;
+        _length = 0;
+    }
 
     ////////////////////////////////////////////////////////////////////////
     // creates new NDArray using shape information from "shapeInfo" array, set all elements in new array to be zeros, set dtype as array type
@@ -285,227 +288,227 @@ NDArray::NDArray(sd::LaunchContext * context) {
     }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(std::shared_ptr buffer, const char order, const std::vector &shape, sd::LaunchContext* context) {
+    NDArray::NDArray(std::shared_ptr buffer, const char order, const std::vector &shape, sd::LaunchContext* context) {
 
-    if (shape.empty())
-        throw std::runtime_error("NDArray constructor: input shape is empty !");
+        if (shape.empty())
+            throw std::runtime_error("NDArray constructor: input shape is empty !");
 
-    if ((int) shape.size() > MAX_RANK)
-        throw std::invalid_argument("NDArray constructor: rank of NDArray can't exceed 32");
+        if ((int) shape.size() > MAX_RANK)
+            throw std::invalid_argument("NDArray constructor: rank of NDArray can't exceed 32");
 
-    _context = context;
-    _offset  = 0;
+        _context = context;
+        _offset  = 0;
 
-    setShapeInfo(ShapeDescriptor(buffer->getDataType(), order, shape));
+        setShapeInfo(ShapeDescriptor(buffer->getDataType(), order, shape));
 
-    _buffer = buffer;
+        _buffer = buffer;
 
-    _isView =  _length * DataTypeUtils::sizeOf(_dataType) < buffer->getLenInBytes();
-}
+        _isView =  _length * DataTypeUtils::sizeOf(_dataType) < buffer->getLenInBytes();
+    }
 /////////////////////////////////////////////////////////////////////////
 // u16 string constructors
-NDArray::NDArray(const std::u16string& u16string, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::u16string& u16string, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype)) {
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
-    }
-
-    if (!unicode::isStringValidU16(u16string.data(), u16string.data() + u16string.size())) {
-        throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
-    }
-
-    // one word that is why used 1
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(1);
-
-    Nd4jLong dataLength = [&] {
-        if (dtype == DataType::UTF16) {
-            return static_cast(u16string.size() * sizeof(uint16_t));
+        if (!DataTypeUtils::isS(dtype)) {
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
         }
-        if (dtype == DataType::UTF32) {
-            return unicode::offsetUtf16StringInUtf32(u16string.data(), u16string.size());
+
+        if (!unicode::isStringValidU16(u16string.data(), u16string.data() + u16string.size())) {
+            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
         }
-        return unicode::offsetUtf16StringInUtf8(u16string.data(), u16string.size());
-    }();
 
-    Nd4jLong offsets[2] = { 0 , dataLength };
+        // one word that is why used 1
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(1);
 
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+        Nd4jLong dataLength = [&] {
+            if (dtype == DataType::UTF16) {
+                return static_cast(u16string.size() * sizeof(uint16_t));
+            }
+            if (dtype == DataType::UTF32) {
+                return unicode::offsetUtf16StringInUtf32(u16string.data(), u16string.size());
+            }
+            return unicode::offsetUtf16StringInUtf8(u16string.data(), u16string.size());
+        }();
 
-    _context = context;
-    _isAttached = getContext()->getWorkspace() != nullptr;
-    _offset = 0;
+        Nd4jLong offsets[2] = { 0 , dataLength };
 
-    setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
 
-    memcpy(bufferAsT(), &offsets[0], 2 * sizeof(Nd4jLong));
+        _context = context;
+        _isAttached = getContext()->getWorkspace() != nullptr;
+        _offset = 0;
 
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-    if (dtype == DataType::UTF8) {
-        unicode::utf16to8(u16string.data(), data, u16string.size());
+        setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
+
+        memcpy(bufferAsT(), &offsets[0], 2 * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+        if (dtype == DataType::UTF8) {
+            unicode::utf16to8(u16string.data(), data, u16string.size());
+        }
+        else if (dtype == DataType::UTF16) {
+            memcpy(data, u16string.data(), dataLength);
+        }
+        else {
+            unicode::utf16to32(u16string.data(), data, u16string.size());
+        }
+
+        tickWriteHost();
+        syncToDevice();
     }
-    else if (dtype == DataType::UTF16) {
-        memcpy(data, u16string.data(), dataLength);
-    }
-    else {
-        unicode::utf16to32(u16string.data(), data, u16string.size());
-    }
-
-    tickWriteHost();
-    syncToDevice();
-}
 
 /////////////////////////////////////////////////////////////////////////
 // u32 string constructors
-NDArray::NDArray(const std::u32string& u32string, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::u32string& u32string, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype)) {
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
-    }
-
-    if (!unicode::isStringValidU32(u32string.data(), u32string.data() + u32string.size())) {
-        throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
-    }
-    // one word that is why used 1
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(1);
-
-    Nd4jLong dataLength = [&] {
-        if (dtype == DataType::UTF16) {
-            return unicode::offsetUtf32StringInUtf16(u32string.data(), u32string.size());
+        if (!DataTypeUtils::isS(dtype)) {
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
         }
-        if (dtype == DataType::UTF32) {
-            return static_cast(sizeof(uint32_t) * u32string.size());
+
+        if (!unicode::isStringValidU32(u32string.data(), u32string.data() + u32string.size())) {
+            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
         }
-        return unicode::offsetUtf32StringInUtf8(u32string.data(), u32string.size());
-    }();
+        // one word that is why used 1
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(1);
 
-    Nd4jLong offsets[2] = { 0 , dataLength };
+        Nd4jLong dataLength = [&] {
+            if (dtype == DataType::UTF16) {
+                return unicode::offsetUtf32StringInUtf16(u32string.data(), u32string.size());
+            }
+            if (dtype == DataType::UTF32) {
+                return static_cast(sizeof(uint32_t) * u32string.size());
+            }
+            return unicode::offsetUtf32StringInUtf8(u32string.data(), u32string.size());
+        }();
 
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+        Nd4jLong offsets[2] = { 0 , dataLength };
 
-    _context = context;
-    _isAttached = getContext()->getWorkspace() != nullptr;
-    _offset = 0;
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
 
-    setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
+        _context = context;
+        _isAttached = getContext()->getWorkspace() != nullptr;
+        _offset = 0;
 
-    memcpy(bufferAsT(), &offsets[0], 2 * sizeof(Nd4jLong));
+        setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
 
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-    if (dtype == DataType::UTF8) {
-        unicode::utf32to8(u32string.data(), data, u32string.size());
+        memcpy(bufferAsT(), &offsets[0], 2 * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+        if (dtype == DataType::UTF8) {
+            unicode::utf32to8(u32string.data(), data, u32string.size());
+        }
+        else if (dtype == DataType::UTF16) {
+            unicode::utf32to16(u32string.data(), data, u32string.size());
+        }
+        else {
+            memcpy(data, u32string.data(), u32string.size() * sizeof(uint32_t));
+        }
+
+        tickWriteHost();
+        syncToDevice();
     }
-    else if (dtype == DataType::UTF16) {
-        unicode::utf32to16(u32string.data(), data, u32string.size());
-    }
-    else {
-        memcpy(data, u32string.data(), u32string.size() * sizeof(uint32_t));
-    }
-
-    tickWriteHost();
-    syncToDevice();
-}
 
 /////////////////////////////////////////////////////////////////////////
 // u8 string constructors
-NDArray::NDArray(const std::string& str, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::string& str, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype)) {
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
-    }
-
-    if (!unicode::isStringValidU8(str.data(), str.data() + str.size())) {
-        throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
-    }
-
-    // one word that is why used 1
-    auto headerLength = ShapeUtils::stringBufferHeaderRequirements(1);
-
-    Nd4jLong dataLength = [&] {
-        if (dtype == DataType::UTF16) {
-            return unicode::offsetUtf8StringInUtf16(str.data(), str.size());
+        if (!DataTypeUtils::isS(dtype)) {
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
         }
-        if (dtype == DataType::UTF32) {
-            return unicode::offsetUtf8StringInUtf32(str.data(), str.size());
-        }
-        return static_cast(str.size());
-    }();
 
-    Nd4jLong offsets[2] = { 0 , dataLength };
-
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
-
-    _context = context;
-    _isAttached = getContext()->getWorkspace() != nullptr;
-    _offset = 0;
-
-    setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
-
-    memcpy(bufferAsT(), &offsets[0], 2 * sizeof(Nd4jLong));
-
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-
-    if (dtype == DataType::UTF8) {
-        memcpy(data, str.data(), str.size());
-    }
-    else if (dtype == DataType::UTF16) {
-        unicode::utf8to16(str.data(), data, str.size());
-    }
-    else {
-        unicode::utf8to32(str.data(), data, str.size());
-    }
-
-    tickWriteHost();
-    syncToDevice();
-}
-/////////////////////////////////////////////////////////////////////////
-// constructors for vector of  strings
-NDArray::NDArray(const std::vector& shape, const std::vector& string, const sd::DataType dataType, sd::LaunchContext* context) {
-
-    if (!DataTypeUtils::isS(dataType))
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
-
-    if (shape::prodLong(shape.data(), shape.size()) != string.size())
-        throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
-
-    for (const auto& str : string) {
-        if (!unicode::isStringValidU8(str, str + std::char_traits::length(str)) ) {
+        if (!unicode::isStringValidU8(str.data(), str.data() + str.size())) {
             throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
         }
-    }
 
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
+        // one word that is why used 1
+        auto headerLength = ShapeUtils::stringBufferHeaderRequirements(1);
 
-    std::vector offsets(string.size() + 1);
-    Nd4jLong dataLength = 0;
-    for (int e = 0; e < string.size(); e++) {
-        offsets[e] = dataLength;
-        dataLength += [&] {
-            if (dataType == DataType::UTF16)
-                return unicode::offsetUtf8StringInUtf16(string[e], std::char_traits::length(string[e]));
-            if (dataType == DataType::UTF32)
-                return  unicode::offsetUtf8StringInUtf32(string[e], std::char_traits::length(string[e]));
-            return static_cast(std::char_traits::length(string[e]));
+        Nd4jLong dataLength = [&] {
+            if (dtype == DataType::UTF16) {
+                return unicode::offsetUtf8StringInUtf16(str.data(), str.size());
+            }
+            if (dtype == DataType::UTF32) {
+                return unicode::offsetUtf8StringInUtf32(str.data(), str.size());
+            }
+            return static_cast(str.size());
         }();
+
+        Nd4jLong offsets[2] = { 0 , dataLength };
+
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+
+        _context = context;
+        _isAttached = getContext()->getWorkspace() != nullptr;
+        _offset = 0;
+
+        setShapeInfo(ShapeDescriptor::scalarDescriptor(dtype));
+
+        memcpy(bufferAsT(), &offsets[0], 2 * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+        if (dtype == DataType::UTF8) {
+            memcpy(data, str.data(), str.size());
+        }
+        else if (dtype == DataType::UTF16) {
+            unicode::utf8to16(str.data(), data, str.size());
+        }
+        else {
+            unicode::utf8to32(str.data(), data, str.size());
+        }
+
+        tickWriteHost();
+        syncToDevice();
     }
-    offsets[string.size()] = dataLength;
+/////////////////////////////////////////////////////////////////////////
+// constructors for vector of  strings
+    NDArray::NDArray(const std::vector& shape, const std::vector& string, const sd::DataType dataType, sd::LaunchContext* context) {
 
-    _buffer = std::make_shared(headerLength + dataLength, dataType, context->getWorkspace(), true);
+        if (!DataTypeUtils::isS(dataType))
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
 
-    _context = context;
-    _offset = 0;
+        if (shape::prodLong(shape.data(), shape.size()) != string.size())
+            throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
 
-    setShapeInfo(ShapeDescriptor(dataType, 'c', shape));
+        for (const auto& str : string) {
+            if (!unicode::isStringValidU8(str, str + std::char_traits::length(str)) ) {
+                throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+            }
+        }
 
-    _isView = false;
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
 
-    setAttached(context->getWorkspace() != nullptr);
+        std::vector offsets(string.size() + 1);
+        Nd4jLong dataLength = 0;
+        for (int e = 0; e < string.size(); e++) {
+            offsets[e] = dataLength;
+            dataLength += [&] {
+                if (dataType == DataType::UTF16)
+                    return unicode::offsetUtf8StringInUtf16(string[e], std::char_traits::length(string[e]));
+                if (dataType == DataType::UTF32)
+                    return  unicode::offsetUtf8StringInUtf32(string[e], std::char_traits::length(string[e]));
+                return static_cast(std::char_traits::length(string[e]));
+            }();
+        }
+        offsets[string.size()] = dataLength;
 
-    memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+        _buffer = std::make_shared(headerLength + dataLength, dataType, context->getWorkspace(), true);
 
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
+        _context = context;
+        _offset = 0;
 
-    auto func = PRAGMA_THREADS_FOR{
-        for (auto e = start; e < stop; e++) {
+        setShapeInfo(ShapeDescriptor(dataType, 'c', shape));
+
+        _isView = false;
+
+        setAttached(context->getWorkspace() != nullptr);
+
+        memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+        auto func = PRAGMA_THREADS_FOR{
+            for (auto e = start; e < stop; e++) {
                 auto cdata = data + offsets[e];
                 if (dataType == DataType::UTF16) {
                     unicode::utf8to16(string[e], cdata, std::char_traits::length(string[e]));
@@ -516,1125 +519,1125 @@ NDArray::NDArray(const std::vector& shape, const std::vector::length(string[e]));
                 }
-        }
-    };
+            }
+        };
 
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+        samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
 
-    tickWriteHost();
-    syncToDevice();
-}
+        tickWriteHost();
+        syncToDevice();
+    }
 /////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const std::vector& shape, const std::vector& string, const sd::DataType dataType, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::vector& shape, const std::vector& string, const sd::DataType dataType, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dataType))
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
+        if (!DataTypeUtils::isS(dataType))
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
 
-    if (shape::prodLong(shape.data(), shape.size()) != string.size())
-        throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
+        if (shape::prodLong(shape.data(), shape.size()) != string.size())
+            throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
 
-    for (const auto& str : string) {
-        if (!unicode::isStringValidU8(str.data(), str.data() + str.size())) {
-            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+        for (const auto& str : string) {
+            if (!unicode::isStringValidU8(str.data(), str.data() + str.size())) {
+                throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+            }
         }
-    }
 
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
 
-    std::vector offsets(string.size() + 1);
-    Nd4jLong dataLength = 0;
-    for (int e = 0; e < string.size(); e++) {
-        offsets[e] = dataLength;
-        dataLength += [&] {
-            if (dataType == DataType::UTF16)
-                return unicode::offsetUtf8StringInUtf16(string[e].data(), string[e].size());
-            if (dataType == DataType::UTF32)
-                return  unicode::offsetUtf8StringInUtf32(string[e].data(), string[e].size());
-            return static_cast(string[e].size());
-        }();
-    }
-
-    offsets[string.size()] = dataLength;
-
-    _buffer = std::make_shared(headerLength + dataLength, dataType, context->getWorkspace(), true);
-
-    _context = context;
-    _offset = 0;
-
-    setShapeInfo(ShapeDescriptor(dataType, 'c', shape));
-
-    _isView = false;
-
-    setAttached(context->getWorkspace() != nullptr);
-
-    memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
-
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-
-    auto func = PRAGMA_THREADS_FOR{
-        for (auto e = start; e < stop; e++) {
-             auto cdata = data + offsets[e];
-             if (dataType == DataType::UTF16) {
-                 unicode::utf8to16(string[e].data(), cdata, string[e].size());
-             }
-             else if (dataType == DataType::UTF32) {
-                 unicode::utf8to32(string[e].data(), cdata, string[e].size());
-             }
-             else {
-                 memcpy(cdata, string[e].data(), string[e].size());
-             }
+        std::vector offsets(string.size() + 1);
+        Nd4jLong dataLength = 0;
+        for (int e = 0; e < string.size(); e++) {
+            offsets[e] = dataLength;
+            dataLength += [&] {
+                if (dataType == DataType::UTF16)
+                    return unicode::offsetUtf8StringInUtf16(string[e].data(), string[e].size());
+                if (dataType == DataType::UTF32)
+                    return  unicode::offsetUtf8StringInUtf32(string[e].data(), string[e].size());
+                return static_cast(string[e].size());
+            }();
         }
-    };
 
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+        offsets[string.size()] = dataLength;
+
+        _buffer = std::make_shared(headerLength + dataLength, dataType, context->getWorkspace(), true);
+
+        _context = context;
+        _offset = 0;
+
+        setShapeInfo(ShapeDescriptor(dataType, 'c', shape));
+
+        _isView = false;
+
+        setAttached(context->getWorkspace() != nullptr);
+
+        memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+        auto func = PRAGMA_THREADS_FOR{
+            for (auto e = start; e < stop; e++) {
+                auto cdata = data + offsets[e];
+                if (dataType == DataType::UTF16) {
+                    unicode::utf8to16(string[e].data(), cdata, string[e].size());
+                }
+                else if (dataType == DataType::UTF32) {
+                    unicode::utf8to32(string[e].data(), cdata, string[e].size());
+                }
+                else {
+                    memcpy(cdata, string[e].data(), string[e].size());
+                }
+            }
+        };
+
+        samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
 
 
-    tickWriteHost();
-    syncToDevice();
-}
+        tickWriteHost();
+        syncToDevice();
+    }
 /////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype))
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
+        if (!DataTypeUtils::isS(dtype))
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
 
-    if (shape::prodLong(shape.data(), shape.size()) != string.size())
-        throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
+        if (shape::prodLong(shape.data(), shape.size()) != string.size())
+            throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
 
-    for (const auto& str : string) {
-        if (!unicode::isStringValidU16(str.data(), str.data() + str.size())) {
-            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+        for (const auto& str : string) {
+            if (!unicode::isStringValidU16(str.data(), str.data() + str.size())) {
+                throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+            }
         }
-    }
 
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
 
-    std::vector offsets(string.size() + 1);
-    Nd4jLong dataLength = 0;
-    for (int e = 0; e < string.size(); e++) {
-        offsets[e] = dataLength;
-        dataLength += [&] {
-            if (dtype == DataType::UTF16)
-                return static_cast(sizeof(uint16_t) * string[e].size());
-            if (dtype == DataType::UTF32)
-                return unicode::offsetUtf16StringInUtf32(string[e].data(), string[e].size());
-            return unicode::offsetUtf16StringInUtf8(string[e].data(), string[e].size());
-        }();
-    }
-    offsets[string.size()] = dataLength;
-
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
-
-    _context = context;
-    _offset = 0;
-
-    setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
-
-    _isView = false;
-
-    setAttached(context->getWorkspace() != nullptr);
-
-    memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
-
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-
-    auto func = PRAGMA_THREADS_FOR{
-        for (auto e = start; e < stop; e++) {
-             auto cdata = data + offsets[e];
-             if (dtype == DataType::UTF16) {
-                 memcpy(cdata, string[e].data(), string[e].size() * sizeof(uint16_t));
-             }
-             else if (dtype == DataType::UTF32) {
-                 unicode::utf16to32(string[e].data(), cdata, string[e].size());
-             }
-             else {
-                 unicode::utf16to8(string[e].data(), cdata, string[e].size());
-             }
+        std::vector offsets(string.size() + 1);
+        Nd4jLong dataLength = 0;
+        for (int e = 0; e < string.size(); e++) {
+            offsets[e] = dataLength;
+            dataLength += [&] {
+                if (dtype == DataType::UTF16)
+                    return static_cast(sizeof(uint16_t) * string[e].size());
+                if (dtype == DataType::UTF32)
+                    return unicode::offsetUtf16StringInUtf32(string[e].data(), string[e].size());
+                return unicode::offsetUtf16StringInUtf8(string[e].data(), string[e].size());
+            }();
         }
-    };
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+        offsets[string.size()] = dataLength;
 
-    tickWriteHost();
-    syncToDevice();
-}
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+
+        _context = context;
+        _offset = 0;
+
+        setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
+
+        _isView = false;
+
+        setAttached(context->getWorkspace() != nullptr);
+
+        memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+        auto func = PRAGMA_THREADS_FOR{
+            for (auto e = start; e < stop; e++) {
+                auto cdata = data + offsets[e];
+                if (dtype == DataType::UTF16) {
+                    memcpy(cdata, string[e].data(), string[e].size() * sizeof(uint16_t));
+                }
+                else if (dtype == DataType::UTF32) {
+                    unicode::utf16to32(string[e].data(), cdata, string[e].size());
+                }
+                else {
+                    unicode::utf16to8(string[e].data(), cdata, string[e].size());
+                }
+            }
+        };
+        samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+        tickWriteHost();
+        syncToDevice();
+    }
 /////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype))
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
+        if (!DataTypeUtils::isS(dtype))
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
 
-    if (shape::prodLong(shape.data(), shape.size()) != string.size())
-        throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
+        if (shape::prodLong(shape.data(), shape.size()) != string.size())
+            throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
 
-    for (const auto& str : string) {
-        if (!unicode::isStringValidU16(str, str + std::char_traits::length(str))) {
-            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+        for (const auto& str : string) {
+            if (!unicode::isStringValidU16(str, str + std::char_traits::length(str))) {
+                throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+            }
         }
-    }
 
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
 
-    std::vector offsets(string.size() + 1);
-    Nd4jLong dataLength = 0;
-    for (int e = 0; e < string.size(); e++) {
-        offsets[e] = dataLength;
-        dataLength += [&] {
-            if (dtype == DataType::UTF16)
-                return static_cast(sizeof(uint16_t) * std::char_traits::length(string[e]));
-            if (dtype == DataType::UTF32)
-                return unicode::offsetUtf16StringInUtf32(string[e], std::char_traits::length(string[e]));
-            return unicode::offsetUtf16StringInUtf8(string[e], std::char_traits::length(string[e]));
-        }();
-    }
-    offsets[string.size()] = dataLength;
-
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
-
-    _context = context;
-    _offset = 0;
-
-    setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
-
-    _isView = false;
-
-    setAttached(context->getWorkspace() != nullptr);
-
-    memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
-
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-
-
-    auto func = PRAGMA_THREADS_FOR{
-        for (auto e = start; e < stop; e++) {
-             auto cdata = data + offsets[e];
-             if (dtype == DataType::UTF16) {
-                 memcpy(cdata, string[e], std::char_traits::length(string[e]) * sizeof(uint16_t));
-             }
-             else if (dtype == DataType::UTF32) {
-                 unicode::utf16to32(string[e], cdata, std::char_traits::length(string[e]));
-             }
-             else {
-                 unicode::utf16to8(string[e], cdata, std::char_traits::length(string[e]));
-             }
+        std::vector offsets(string.size() + 1);
+        Nd4jLong dataLength = 0;
+        for (int e = 0; e < string.size(); e++) {
+            offsets[e] = dataLength;
+            dataLength += [&] {
+                if (dtype == DataType::UTF16)
+                    return static_cast(sizeof(uint16_t) * std::char_traits::length(string[e]));
+                if (dtype == DataType::UTF32)
+                    return unicode::offsetUtf16StringInUtf32(string[e], std::char_traits::length(string[e]));
+                return unicode::offsetUtf16StringInUtf8(string[e], std::char_traits::length(string[e]));
+            }();
         }
-    };
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+        offsets[string.size()] = dataLength;
 
-    tickWriteHost();
-    syncToDevice();
-}
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+
+        _context = context;
+        _offset = 0;
+
+        setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
+
+        _isView = false;
+
+        setAttached(context->getWorkspace() != nullptr);
+
+        memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+
+        auto func = PRAGMA_THREADS_FOR{
+            for (auto e = start; e < stop; e++) {
+                auto cdata = data + offsets[e];
+                if (dtype == DataType::UTF16) {
+                    memcpy(cdata, string[e], std::char_traits::length(string[e]) * sizeof(uint16_t));
+                }
+                else if (dtype == DataType::UTF32) {
+                    unicode::utf16to32(string[e], cdata, std::char_traits::length(string[e]));
+                }
+                else {
+                    unicode::utf16to8(string[e], cdata, std::char_traits::length(string[e]));
+                }
+            }
+        };
+        samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+        tickWriteHost();
+        syncToDevice();
+    }
 /////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype))
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
+        if (!DataTypeUtils::isS(dtype))
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType, only string dataTypes have to be used");
 
-    if (shape::prodLong(shape.data(), shape.size()) != string.size())
-        throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
+        if (shape::prodLong(shape.data(), shape.size()) != string.size())
+            throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
 
-    for (auto str : string) {
-        if (!unicode::isStringValidU32(str.data(), str.data() + str.size())) {
-            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+        for (auto str : string) {
+            if (!unicode::isStringValidU32(str.data(), str.data() + str.size())) {
+                throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+            }
         }
-    }
 
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
 
-    std::vector offsets(string.size() + 1);
+        std::vector offsets(string.size() + 1);
 
-    Nd4jLong dataLength = 0;
-    for (int e = 0; e < string.size(); e++) {
-        offsets[e] = dataLength;
-        dataLength += [&] {
-            if (dtype == DataType::UTF16)
+        Nd4jLong dataLength = 0;
+        for (int e = 0; e < string.size(); e++) {
+            offsets[e] = dataLength;
+            dataLength += [&] {
+                if (dtype == DataType::UTF16)
+                    return unicode::offsetUtf32StringInUtf16(string[e].data(), string[e].size());
+                if (dtype == DataType::UTF32)
+                    return static_cast(sizeof(uint32_t) * string[e].size());
                 return unicode::offsetUtf32StringInUtf16(string[e].data(), string[e].size());
-            if (dtype == DataType::UTF32)
-                return static_cast(sizeof(uint32_t) * string[e].size());
-            return unicode::offsetUtf32StringInUtf16(string[e].data(), string[e].size());
-        }();
-    }
-    offsets[string.size()] = dataLength;
-
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
-
-    _context = context;
-    _offset = 0;
-
-    setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
-
-    _isView = false;
-
-    setAttached(context->getWorkspace() != nullptr);
-
-    memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
-
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-
-    auto func = PRAGMA_THREADS_FOR{
-        for (auto e = start; e < stop; e++) {
-            auto cdata = data + offsets[e];
-            if (dtype == DataType::UTF16) {
-                unicode::utf32to16(string[e].data(), cdata, string[e].size());
-            }
-            else if (dtype == DataType::UTF32) {
-                memcpy(cdata, string[e].data(), string[e].size() * sizeof(uint32_t));
-            }
-            else {
-                unicode::utf32to8(string[e].data(), cdata, string[e].size());
-            }
+            }();
         }
-    };
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+        offsets[string.size()] = dataLength;
 
-    tickWriteHost();
-    syncToDevice();
-}
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+
+        _context = context;
+        _offset = 0;
+
+        setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
+
+        _isView = false;
+
+        setAttached(context->getWorkspace() != nullptr);
+
+        memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+        auto func = PRAGMA_THREADS_FOR{
+            for (auto e = start; e < stop; e++) {
+                auto cdata = data + offsets[e];
+                if (dtype == DataType::UTF16) {
+                    unicode::utf32to16(string[e].data(), cdata, string[e].size());
+                }
+                else if (dtype == DataType::UTF32) {
+                    memcpy(cdata, string[e].data(), string[e].size() * sizeof(uint32_t));
+                }
+                else {
+                    unicode::utf32to8(string[e].data(), cdata, string[e].size());
+                }
+            }
+        };
+        samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+        tickWriteHost();
+        syncToDevice();
+    }
 /////////////////////////////////////////////////////////////////////////
-NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
+    NDArray::NDArray(const std::vector& shape, const std::vector& string, sd::DataType dtype, sd::LaunchContext* context) {
 
-    if (!DataTypeUtils::isS(dtype))
-        throw std::invalid_argument("NDArray::NDArray: invalid DataType used");
+        if (!DataTypeUtils::isS(dtype))
+            throw std::invalid_argument("NDArray::NDArray: invalid DataType used");
 
-    if (shape::prodLong(shape.data(), shape.size()) != string.size())
-        throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
+        if (shape::prodLong(shape.data(), shape.size()) != string.size())
+            throw std::invalid_argument("NDArray::NDArray: Number of strings should match length of array");
 
-    for (const auto& str : string) {
-        if (!unicode::isStringValidU32(str, str + std::char_traits::length(str))) {
-            throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+        for (const auto& str : string) {
+            if (!unicode::isStringValidU32(str, str + std::char_traits::length(str))) {
+                throw std::invalid_argument("NDArray::NDArray: invalid character in input string");
+            }
         }
-    }
 
-    Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
+        Nd4jLong headerLength = ShapeUtils::stringBufferHeaderRequirements(string.size());
 
-    std::vector offsets(string.size() + 1);
+        std::vector offsets(string.size() + 1);
 
-    Nd4jLong dataLength = 0;
-    for (int e = 0; e < string.size(); e++) {
-        offsets[e] = dataLength;
-        dataLength += [&] {
-            if (dtype == DataType::UTF16)
+        Nd4jLong dataLength = 0;
+        for (int e = 0; e < string.size(); e++) {
+            offsets[e] = dataLength;
+            dataLength += [&] {
+                if (dtype == DataType::UTF16)
+                    return unicode::offsetUtf32StringInUtf16(string[e], std::char_traits::length(string[e]));
+                if (dtype == DataType::UTF32)
+                    return static_cast(sizeof(uint32_t) * std::char_traits::length(string[e]));
                 return unicode::offsetUtf32StringInUtf16(string[e], std::char_traits::length(string[e]));
-            if (dtype == DataType::UTF32)
-                return static_cast(sizeof(uint32_t) * std::char_traits::length(string[e]));
-            return unicode::offsetUtf32StringInUtf16(string[e], std::char_traits::length(string[e]));
-        }();
-    }
-    offsets[string.size()] = dataLength;
-
-    _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
-
-    _context = context;
-    _offset = 0;
-
-    setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
-
-    _isView = _length * DataTypeUtils::sizeOf(_dataType) < _buffer->getLenInBytes();
-
-    setAttached(context->getWorkspace() != nullptr);
-
-    memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
-
-    auto data = reinterpret_cast(bufferAsT() + headerLength);
-
-    auto func = PRAGMA_THREADS_FOR{
-        for (auto e = start; e < stop; e++) {
-            auto cdata = data + offsets[e];
-            if (dtype == DataType::UTF16) {
-                unicode::utf32to16(string[e], cdata, std::char_traits::length(string[e]));
-            }
-            else if (dtype == DataType::UTF32) {
-                memcpy(cdata, string[e], std::char_traits::length(string[e]) * sizeof(uint32_t));
-            }
-            else {
-                unicode::utf32to8(string[e], cdata, std::char_traits::length(string[e]));
-            }
+            }();
         }
-    };
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+        offsets[string.size()] = dataLength;
 
-    tickWriteHost();
-    syncToDevice();
-}
+        _buffer = std::make_shared(headerLength + dataLength, dtype, context->getWorkspace(), true);
+
+        _context = context;
+        _offset = 0;
+
+        setShapeInfo(ShapeDescriptor(dtype, 'c', shape));
+
+        _isView = _length * DataTypeUtils::sizeOf(_dataType) < _buffer->getLenInBytes();
+
+        setAttached(context->getWorkspace() != nullptr);
+
+        memcpy(bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto data = reinterpret_cast(bufferAsT() + headerLength);
+
+        auto func = PRAGMA_THREADS_FOR{
+            for (auto e = start; e < stop; e++) {
+                auto cdata = data + offsets[e];
+                if (dtype == DataType::UTF16) {
+                    unicode::utf32to16(string[e], cdata, std::char_traits::length(string[e]));
+                }
+                else if (dtype == DataType::UTF32) {
+                    memcpy(cdata, string[e], std::char_traits::length(string[e]) * sizeof(uint32_t));
+                }
+                else {
+                    unicode::utf32to8(string[e], cdata, std::char_traits::length(string[e]));
+                }
+            }
+        };
+        samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+        tickWriteHost();
+        syncToDevice();
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // assignment operator
     NDArray& NDArray::operator=(const NDArray& other) {
 
-    if (this == &other || (_shapeInfo == other._shapeInfo && _shapeInfo == nullptr))
+        if (this == &other || (_shapeInfo == other._shapeInfo && _shapeInfo == nullptr))
+            return *this;
+
+        if (_shapeInfo != nullptr && shape::equalsTypesAndShapesSoft(_shapeInfo, other._shapeInfo)) {
+            if(!other.isEmpty())
+                this->assign(&other);
+        }
+        else {
+            _context = other._context;
+            _offset  = 0;
+            setShapeInfo(ShapeDescriptor(other.dataType(), other.ordering(), other.shapeOf(), other.rankOf()));
+
+            if(!other.isEmpty()) {
+                _buffer = std::make_shared(other.lengthOf() * other.sizeOfT(), other.dataType(), other.getContext()->getWorkspace());
+                this->assign(&other);
+            }
+            else
+                _buffer = std::make_shared();
+        }
         return *this;
-
-    if (_shapeInfo != nullptr && shape::equalsTypesAndShapesSoft(_shapeInfo, other._shapeInfo)) {
-        if(!other.isEmpty())
-            this->assign(&other);
     }
-    else {
-        _context = other._context;
-        _offset  = 0;
-        setShapeInfo(ShapeDescriptor(other.dataType(), other.ordering(), other.shapeOf(), other.rankOf()));
 
-        if(!other.isEmpty()) {
-            _buffer = std::make_shared(other.lengthOf() * other.sizeOfT(), other.dataType(), other.getContext()->getWorkspace());
-            this->assign(&other);
-        }
-        else
-            _buffer = std::make_shared();
+
+//////////////////////////////////////////////////////////////////////////
+    bool NDArray::isC() const {
+        // TODO: this method must be implemented once we add support for complex numbers
+        return false;
     }
-    return *this;
-}
-
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::isC() const {
-    // TODO: this method must be implemented once we add support for complex numbers
-    return false;
-}
-
-//////////////////////////////////////////////////////////////////////////
-bool NDArray::isS() const {
-    return (dataType() == DataType::UTF8 ||
-            dataType() == DataType::UTF16 ||
-            dataType() == DataType::UTF32);
-}
-
-//////////////////////////////////////////////////////////////////////////
-bool NDArray::isR() const {
-    auto xType = ArrayOptions::dataType(this->_shapeInfo);
-    return xType == FLOAT32 || xType == HALF || xType == DOUBLE || xType == FLOAT8 || xType == BFLOAT16;
-}
-
-//////////////////////////////////////////////////////////////////////////
-bool NDArray::isZ() const {
-    // TODO: decide if we really want to exclude Bool here
-    return !isC() && !isR() && !isB() && !isS();
-}
-
-//////////////////////////////////////////////////////////////////////////
-bool NDArray::isB() const {
-    return ArrayOptions::dataType(this->_shapeInfo) == BOOL;
-}
-
-//////////////////////////////////////////////////////////////////////////
-template
-std::string NDArray::toStringValue(T value) {
-    std::ostringstream os ;
-    //throw the value into the string stream
-    os << value ;
-    //convert the string stream into a string and return
-    return os.str() ;
-}
-
-//////////////////////////////////////////////////////////////////////////
-template<>
-std::string NDArray::toStringValue(float16 value) {
-    std::ostringstream os ;
-    //throw the value into the string stream
-    os << (float) value ;
-    //convert the string stream into a string and return
-    return os.str() ;
-}
-
-//////////////////////////////////////////////////////////////////////////
-template<>
-std::string NDArray::toStringValue(bfloat16 value) {
-    std::ostringstream os ;
-    //throw the value into the string stream
-    os << (float) value ;
-    //convert the string stream into a string and return
-    return os.str() ;
-}
-
-//////////////////////////////////////////////////////////////////////////
-std::string NDArray::asIndexedString(Nd4jLong limit) {
-    std::ostringstream os;
-    os << "[";
-    if (limit < 1 || limit > this->lengthOf())
-        limit = this->lengthOf();
-    for (Nd4jLong e = 0; e < limit; e++) {
-        os << toStringValue(this->e(e));
-        if (e < limit - 1)
-            os << ", ";
+    bool NDArray::isS() const {
+        return (dataType() == DataType::UTF8 ||
+                dataType() == DataType::UTF16 ||
+                dataType() == DataType::UTF32);
     }
-    os << "]";
-    return os.str();
-}
 
 //////////////////////////////////////////////////////////////////////////
-std::string NDArray::asString(Nd4jLong limit) {
-    std::ostringstream os;
-    os << "[";
-    if (limit < 1 || limit > this->lengthOf())
-        limit = this->lengthOf();
-    for (Nd4jLong e = 0; e < limit; e++) {
-        if (this->isR())
+    bool NDArray::isR() const {
+        auto xType = ArrayOptions::dataType(this->_shapeInfo);
+        return xType == FLOAT32 || xType == HALF || xType == DOUBLE || xType == FLOAT8 || xType == BFLOAT16;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    bool NDArray::isZ() const {
+        // TODO: decide if we really want to exclude Bool here
+        return !isC() && !isR() && !isB() && !isS();
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    bool NDArray::isB() const {
+        return ArrayOptions::dataType(this->_shapeInfo) == BOOL;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    template
+    std::string NDArray::toStringValue(T value) {
+        std::ostringstream os ;
+        //throw the value into the string stream
+        os << value ;
+        //convert the string stream into a string and return
+        return os.str() ;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    template<>
+    std::string NDArray::toStringValue(float16 value) {
+        std::ostringstream os ;
+        //throw the value into the string stream
+        os << (float) value ;
+        //convert the string stream into a string and return
+        return os.str() ;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    template<>
+    std::string NDArray::toStringValue(bfloat16 value) {
+        std::ostringstream os ;
+        //throw the value into the string stream
+        os << (float) value ;
+        //convert the string stream into a string and return
+        return os.str() ;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    std::string NDArray::asIndexedString(Nd4jLong limit) {
+        std::ostringstream os;
+        os << "[";
+        if (limit < 1 || limit > this->lengthOf())
+            limit = this->lengthOf();
+        for (Nd4jLong e = 0; e < limit; e++) {
             os << toStringValue(this->e(e));
-        else if (this->isZ())
-            os << toStringValue(this->e(e));
-        else if (this->isB())
-            os << toStringValue(this->e(e));
-        else if (this->isS()) // todo add utf16 and utf32
-            os << this->e(e);
-        if (e < limit - 1)
-            os << ", ";
-    }
-    os << "]";
-    return os.str();
-}
-
-////////////////////////////////////////////////////////////////////////
-template
-std::vector NDArray::getBufferAsVector() const {
-    std::vector vector(lengthOf());
-    for (Nd4jLong e = 0; e < lengthOf(); e++)
-        vector[e] = this->e(e);
-    return vector;
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT std::vector, NDArray::getBufferAsVector() const, LIBND4J_TYPES);
-
-////////////////////////////////////////////////////////////////////////
-std::vector NDArray::getShapeAsFlatVector() const {
-    std::vector vector(this->rankOf());
-    for (int e = 0; e < this->rankOf(); e++)
-        vector[e] = static_cast(this->sizeAt(e));
-    return vector;
-}
-
-////////////////////////////////////////////////////////////////////////
-std::vector NDArray::getShapeAsVector() const {
-
-    std::vector vector(this->rankOf());
-    for (int e = 0; e < this->rankOf(); e++)
-        vector[e] = this->sizeAt(e);
-
-    return vector;
-}
-
-////////////////////////////////////////////////////////////////////////
-std::vector NDArray::getShapeAsVectorInt() const {
-
-    std::vector vector(this->rankOf());
-    for (int e = 0; e < this->rankOf(); e++)
-        vector[e] = static_cast(this->sizeAt(e));
-
-    return vector;
-}
-
-////////////////////////////////////////////////////////////////////////
-std::vector NDArray::getShapeInfoAsFlatVector() const {
-    int magicNumber = shape::shapeInfoLength(this->rankOf());
-    std::vector vector(magicNumber);
-
-    for (int e = 0; e < magicNumber; e++)
-        vector[e] = static_cast(_shapeInfo[e]);
-
-    return vector;
-}
-
-////////////////////////////////////////////////////////////////////////
-std::vector NDArray::getShapeInfoAsVector() const {
-    int magicNumber = shape::shapeInfoLength(this->rankOf());
-    std::vector vector(magicNumber);
-    for (int e = 0; e < magicNumber; e++)
-        vector[e] = this->_shapeInfo[e];
-    return vector;
-}
-
-////////////////////////////////////////////////////////////////////////
-std::vector NDArray::asByteVector() {
-
-    if (isS()) {
-        // string data type requires special treatment
-        syncToHost();
-        auto numWords = this->lengthOf();
-        auto offsetsBuffer = this->bufferAsT();
-        auto headerLength = ShapeUtils::stringBufferHeaderRequirements(numWords);
-        auto dataLength = offsetsBuffer[numWords];
-        std::vector result(headerLength + dataLength);
-
-        memcpy(result.data(), buffer(), headerLength + dataLength);
-
-        return result;
-    } else {
-        // all other types are linear
-        std::vector result((unsigned long long) this->lengthOf() * sizeOfT());
-
-        if (this->isView()) {
-            auto tmp = this->dup(this->ordering());
-            syncToHost();
-            memcpy(result.data(), tmp.buffer(), (unsigned long long) lengthOf() * sizeOfT());
-        } else {
-            syncToHost();
-            memcpy(result.data(), buffer(), (unsigned long long) lengthOf() * sizeOfT());
+            if (e < limit - 1)
+                os << ", ";
         }
-        return result;
+        os << "]";
+        return os.str();
     }
-}
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::linspace(const double start) {
-    linspace(start, 1);
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::linspace(const double start, const double step) {
-    if (isS())
-        throw std::runtime_error("NDArray::linspace: you can't use this method on String array!");
-    Nd4jLong numElements = this->lengthOf();
-    for (Nd4jLong e = 0; e < numElements; e++)
-        this->p(e, start + (step * e));
-}
+    std::string NDArray::asString(Nd4jLong limit) {
+        std::ostringstream os;
+        os << "[";
+        if (limit < 1 || limit > this->lengthOf())
+            limit = this->lengthOf();
+        for (Nd4jLong e = 0; e < limit; e++) {
+            if (this->isR())
+                os << toStringValue(this->e(e));
+            else if (this->isZ())
+                os << toStringValue(this->e(e));
+            else if (this->isB())
+                os << toStringValue(this->e(e));
+            else if (this->isS()) // todo add utf16 and utf32
+                os << this->e(e);
+            if (e < limit - 1)
+                os << ", ";
+        }
+        os << "]";
+        return os.str();
+    }
 
 ////////////////////////////////////////////////////////////////////////
-void NDArray::streamline(char o) {
-    char order = o == 'a' ? this->ordering() : o;
-    syncToDevice();
-    std::shared_ptr newBuffer = std::make_shared(this->lengthOf() * sizeOfT(), dataType(), getContext()->getWorkspace());
-    auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(dataType(), order, rankOf(), shapeOf());
-    NativeOpExecutioner::execTransformSame(getContext(), transform::Copy, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), newBuffer->primary(),
-                                           shapeBuffer.primary(), newBuffer->special(),
-                                           shapeBuffer.special(), nullptr, nullptr, nullptr);
-    setShapeInfo(shapeBuffer);
-    _buffer = newBuffer;
-    _offset = 0;
-    tickWriteDevice();
-}
+    template
+    std::vector NDArray::getBufferAsVector() const {
+        std::vector vector(lengthOf());
+        for (Nd4jLong e = 0; e < lengthOf(); e++)
+            vector[e] = this->e(e);
+        return vector;
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT std::vector, NDArray::getBufferAsVector() const, LIBND4J_TYPES);
+
+////////////////////////////////////////////////////////////////////////
+    std::vector NDArray::getShapeAsFlatVector() const {
+        std::vector vector(this->rankOf());
+        for (int e = 0; e < this->rankOf(); e++)
+            vector[e] = static_cast(this->sizeAt(e));
+        return vector;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    std::vector NDArray::getShapeAsVector() const {
+
+        std::vector vector(this->rankOf());
+        for (int e = 0; e < this->rankOf(); e++)
+            vector[e] = this->sizeAt(e);
+
+        return vector;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    std::vector NDArray::getShapeAsVectorInt() const {
+
+        std::vector vector(this->rankOf());
+        for (int e = 0; e < this->rankOf(); e++)
+            vector[e] = static_cast(this->sizeAt(e));
+
+        return vector;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    std::vector NDArray::getShapeInfoAsFlatVector() const {
+        int magicNumber = shape::shapeInfoLength(this->rankOf());
+        std::vector vector(magicNumber);
+
+        for (int e = 0; e < magicNumber; e++)
+            vector[e] = static_cast(_shapeInfo[e]);
+
+        return vector;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    std::vector NDArray::getShapeInfoAsVector() const {
+        int magicNumber = shape::shapeInfoLength(this->rankOf());
+        std::vector vector(magicNumber);
+        for (int e = 0; e < magicNumber; e++)
+            vector[e] = this->_shapeInfo[e];
+        return vector;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    std::vector NDArray::asByteVector() {
+
+        if (isS()) {
+            // string data type requires special treatment
+            syncToHost();
+            auto numWords = this->lengthOf();
+            auto offsetsBuffer = this->bufferAsT();
+            auto headerLength = ShapeUtils::stringBufferHeaderRequirements(numWords);
+            auto dataLength = offsetsBuffer[numWords];
+            std::vector result(headerLength + dataLength);
+
+            memcpy(result.data(), buffer(), headerLength + dataLength);
+
+            return result;
+        } else {
+            // all other types are linear
+            std::vector result((unsigned long long) this->lengthOf() * sizeOfT());
+
+            if (this->isView()) {
+                auto tmp = this->dup(this->ordering());
+                syncToHost();
+                memcpy(result.data(), tmp.buffer(), (unsigned long long) lengthOf() * sizeOfT());
+            } else {
+                syncToHost();
+                memcpy(result.data(), buffer(), (unsigned long long) lengthOf() * sizeOfT());
+            }
+            return result;
+        }
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::linspace(const double start) {
+        linspace(start, 1);
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::linspace(const double start, const double step) {
+        if (isS())
+            throw std::runtime_error("NDArray::linspace: you can't use this method on String array!");
+        Nd4jLong numElements = this->lengthOf();
+        for (Nd4jLong e = 0; e < numElements; e++)
+            this->p(e, start + (step * e));
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::streamline(char o) {
+        char order = o == 'a' ? this->ordering() : o;
+        syncToDevice();
+        std::shared_ptr newBuffer = std::make_shared(this->lengthOf() * sizeOfT(), dataType(), getContext()->getWorkspace());
+        auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(dataType(), order, rankOf(), shapeOf());
+        NativeOpExecutioner::execTransformSame(getContext(), transform::Copy, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), newBuffer->primary(),
+                                               shapeBuffer.primary(), newBuffer->special(),
+                                               shapeBuffer.special(), nullptr, nullptr, nullptr);
+        setShapeInfo(shapeBuffer);
+        _buffer = newBuffer;
+        _offset = 0;
+        tickWriteDevice();
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // move assignment operator
-NDArray& NDArray::operator=(NDArray&& other) noexcept {
-    if (this == &other)
+    NDArray& NDArray::operator=(NDArray&& other) noexcept {
+        if (this == &other)
+            return *this;
+
+        _isView       = other._isView;
+        _buffer       = other._buffer;
+        _shapeInfo    = other._shapeInfo;
+        _shapeInfoD   = other._shapeInfoD;
+        _context      = other._context;
+        _dataType     = other._dataType;
+        _length       = other._length;
+        _offset       = other._offset;
+
+        other._buffer = std::make_shared();
+        other._shapeInfo = other._shapeInfoD = nullptr;
+        other._length = 0;
+
         return *this;
-
-    _isView       = other._isView;
-    _buffer       = other._buffer;
-    _shapeInfo    = other._shapeInfo;
-    _shapeInfoD   = other._shapeInfoD;
-    _context      = other._context;
-    _dataType     = other._dataType;
-    _length       = other._length;
-    _offset       = other._offset;
-
-    other._buffer = std::make_shared();
-    other._shapeInfo = other._shapeInfoD = nullptr;
-    other._length = 0;
-
-    return *this;
-}
+    }
 
 ////////////////////////////////////////////////////////////////////////
-template
-NDArray& NDArray::operator=(const T scalar) {
-    this->assign(scalar);
-    return *this;
-}
-template ND4J_EXPORT NDArray& NDArray::operator=(const double scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const float scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const float16 scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const bfloat16 scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const Nd4jLong scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const int scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const int8_t scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const uint8_t scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const uint16_t scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const uint32_t scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const uint64_t scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const int16_t scalar);
-template ND4J_EXPORT NDArray& NDArray::operator=(const bool scalar);
+    template
+    NDArray& NDArray::operator=(const T scalar) {
+        this->assign(scalar);
+        return *this;
+    }
+    template ND4J_EXPORT NDArray& NDArray::operator=(const double scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const float scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const float16 scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const bfloat16 scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const Nd4jLong scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const int scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const int8_t scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const uint8_t scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const uint16_t scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const uint32_t scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const uint64_t scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const int16_t scalar);
+    template ND4J_EXPORT NDArray& NDArray::operator=(const bool scalar);
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::copyBuffersContinuouslyFrom(const NDArray& other, size_t sizeToCopyInBytes, Nd4jLong offsetThis, Nd4jLong offsetOther) {
+    void NDArray::copyBuffersContinuouslyFrom(const NDArray& other, size_t sizeToCopyInBytes, Nd4jLong offsetThis, Nd4jLong offsetOther) {
 
-    if(offsetThis == 0)
-        offsetThis = bufferOffset();
-    if(offsetOther == 0)
-        offsetOther = other.bufferOffset();
+        if(offsetThis == 0)
+            offsetThis = bufferOffset();
+        if(offsetOther == 0)
+            offsetOther = other.bufferOffset();
 
-    dataBuffer()->copyBufferFrom(*other.getDataBuffer(), sizeToCopyInBytes, offsetThis, offsetOther);
-}
+        dataBuffer()->copyBufferFrom(*other.getDataBuffer(), sizeToCopyInBytes, offsetThis, offsetOther);
+    }
 
 ////////////////////////////////////////////////////////////////////
 // This method assigns values of given NDArray to this one
-void NDArray::assign(const NDArray& other, bool allowParallelism) {
+    void NDArray::assign(const NDArray& other, bool allowParallelism) {
 
-    if (this == &other)
-        return;
+        if (this == &other)
+            return;
 
-    if (other.isEmpty()) {
-        if (!isEmpty()) {
-             throw std::runtime_error("Cannot assign empty array to non-empty array");
+        if (other.isEmpty()) {
+            if (!isEmpty()) {
+                throw std::runtime_error("Cannot assign empty array to non-empty array");
+            }
+            return;
         }
-        return;
-    }
 
-    if(isEmpty()) {
-        *this = other;
-        return;
-    }
-
-    if (other.lengthOf() == 1) {
-
-        if(lengthOf() == 1) {
-            NDArray::preparePrimaryUse({this}, {&other});
-            BUILD_DOUBLE_SELECTOR(dataType(), other.dataType(), templatedDoubleAssign, (buffer(), 0, other.buffer(), 0), LIBND4J_TYPES, LIBND4J_TYPES);
-            NDArray::registerPrimaryUse({this}, {&other});
-            this->syncToDevice();
+        if(isEmpty()) {
+            *this = other;
+            return;
         }
-        else {
-            if (dataType() != other.dataType()) {
-                auto tmp = other.cast(dataType());
-                NDArray::prepareSpecialUse({this}, {&tmp});
-                NativeOpExecutioner::execScalar(getContext(), scalar::CopyPws, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr, allowParallelism);
-                NDArray::registerSpecialUse({this}, {});
+
+        if (other.lengthOf() == 1) {
+
+            if(lengthOf() == 1) {
+                NDArray::preparePrimaryUse({this}, {&other});
+                BUILD_DOUBLE_SELECTOR(dataType(), other.dataType(), templatedDoubleAssign, (buffer(), 0, other.buffer(), 0), LIBND4J_TYPES, LIBND4J_TYPES);
+                NDArray::registerPrimaryUse({this}, {&other});
+                this->syncToDevice();
             }
             else {
-                NDArray::prepareSpecialUse({this}, {&other});
-                NativeOpExecutioner::execScalar(getContext(), scalar::CopyPws, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr, allowParallelism);
-                NDArray::registerSpecialUse({this}, {&other});
+                if (dataType() != other.dataType()) {
+                    auto tmp = other.cast(dataType());
+                    NDArray::prepareSpecialUse({this}, {&tmp});
+                    NativeOpExecutioner::execScalar(getContext(), scalar::CopyPws, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr, allowParallelism);
+                    NDArray::registerSpecialUse({this}, {});
+                }
+                else {
+                    NDArray::prepareSpecialUse({this}, {&other});
+                    NativeOpExecutioner::execScalar(getContext(), scalar::CopyPws, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr, allowParallelism);
+                    NDArray::registerSpecialUse({this}, {&other});
+                }
             }
         }
-    }
-    else {
-        if (other.lengthOf() != lengthOf()) {
-            auto shapeThis = ShapeUtils::shapeAsString(this);
-            auto shapeThat = ShapeUtils::shapeAsString(&other);
-            nd4j_printf("Can't assign array: this shape %s; other shape: %s\n", shapeThis.c_str(), shapeThat.c_str());
-            throw std::runtime_error("NDArray::assign: lengths of arrays are mismatched");
-        }
+        else {
+            if (other.lengthOf() != lengthOf()) {
+                auto shapeThis = ShapeUtils::shapeAsString(this);
+                auto shapeThat = ShapeUtils::shapeAsString(&other);
+                nd4j_printf("Can't assign array: this shape %s; other shape: %s\n", shapeThis.c_str(), shapeThat.c_str());
+                throw std::runtime_error("NDArray::assign: lengths of arrays are mismatched");
+            }
 
-        NDArray::prepareSpecialUse({this}, {&other});
-        NativeOpExecutioner::execTransformAny(getContext(), transform::Assign, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, nullptr, nullptr, allowParallelism);
-        NDArray::registerSpecialUse({this}, {&other});
+            NDArray::prepareSpecialUse({this}, {&other});
+            NativeOpExecutioner::execTransformAny(getContext(), transform::Assign, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, nullptr, nullptr, allowParallelism);
+            NDArray::registerSpecialUse({this}, {&other});
+        }
     }
-}
 
 //////////////////////////////////////////////////////////////////////////
 // This method assigns values of given NDArray to this one, wrt order
-void NDArray::assign(const NDArray *other, bool allowParallelism) {
-    assign(*other, allowParallelism);
-}
+    void NDArray::assign(const NDArray *other, bool allowParallelism) {
+        assign(*other, allowParallelism);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::assign(const T& value, bool allowParallelism) {
-    // just fire scalar
-    auto temp = NDArrayFactory::create(dataType(), value, this->getContext());
+    template 
+    void NDArray::assign(const T& value, bool allowParallelism) {
+        // just fire scalar
+        auto temp = NDArrayFactory::create(dataType(), value, this->getContext());
 
-    NDArray::prepareSpecialUse({this}, {&temp});
-    NativeOpExecutioner::execScalar(getContext(), sd::scalar::CopyPws, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), temp.buffer(), temp.shapeInfo(), temp.specialBuffer(), temp.specialShapeInfo(), nullptr, allowParallelism);
-    NDArray::registerSpecialUse({this}, {&temp});
-}
-template ND4J_EXPORT void NDArray::assign(const double& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const float& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const float16& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const bfloat16& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const Nd4jLong& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const int& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const int8_t& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const int16_t& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const uint8_t& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const uint16_t& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const uint32_t& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const uint64_t& value, bool allowParallelism);
-template ND4J_EXPORT void NDArray::assign(const bool& value, bool allowParallelism);
+        NDArray::prepareSpecialUse(std::vector{this}, std::vector{&temp});
+        NativeOpExecutioner::execScalar(getContext(), sd::scalar::CopyPws, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), temp.buffer(), temp.shapeInfo(), temp.specialBuffer(), temp.specialShapeInfo(), nullptr, allowParallelism);
+        NDArray::registerSpecialUse(std::vector{this}, std::vector{&temp});
+    }
+    template ND4J_EXPORT void NDArray::assign(const double& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const float& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const float16& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const bfloat16& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const Nd4jLong& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const int& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const int8_t& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const int16_t& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const uint8_t& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const uint16_t& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const uint32_t& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const uint64_t& value, bool allowParallelism);
+    template ND4J_EXPORT void NDArray::assign(const bool& value, bool allowParallelism);
 
 //////////////////////////////////////////////////////////////////////////
-NDArray* NDArray::detach() {
+    NDArray* NDArray::detach() {
 
-    if (!isAttached())
-        return this;
+        if (!isAttached())
+            return this;
 
-    std::shared_ptr newBuffer = std::make_shared(lengthOf() * sizeOfT(), dataType());
+        std::shared_ptr newBuffer = std::make_shared(lengthOf() * sizeOfT(), dataType());
 
-    auto result = new NDArray(newBuffer, ShapeDescriptor(dataType(), ordering(), shapeOf(), rankOf()));
+        auto result = new NDArray(newBuffer, ShapeDescriptor(dataType(), ordering(), shapeOf(), rankOf()));
 
-    result->assign(*this);
+        result->assign(*this);
 
-    return result;
-}
+        return result;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::varianceNumber(sd::variance::Ops op, bool biasCorrected) {
+    NDArray NDArray::varianceNumber(sd::variance::Ops op, bool biasCorrected) {
 
-    NDArray res(DataTypeUtils::pickFloatingType(dataType()), getContext());
+        NDArray res(DataTypeUtils::pickFloatingType(dataType()), getContext());
 
-    NDArray::prepareSpecialUse({&res}, {this});
-    NativeOpExecutioner::execSummaryStatsScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo(), biasCorrected);
-    NDArray::registerSpecialUse({&res}, {this});
+        NDArray::prepareSpecialUse({&res}, {this});
+        NativeOpExecutioner::execSummaryStatsScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo(), biasCorrected);
+        NDArray::registerSpecialUse({&res}, {this});
 
-    return res;
-}
+        return res;
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // This method returns sum of all elements of this NDArray
-NDArray NDArray::sumNumber() const {
-    if (isS())
-        throw std::runtime_error("NDArray::sumNumber: you can't use this method on String array!");
-    NDArray res(dataType(), getContext());
+    NDArray NDArray::sumNumber() const {
+        if (isS())
+            throw std::runtime_error("NDArray::sumNumber: you can't use this method on String array!");
+        NDArray res(dataType(), getContext());
 
-    NDArray::prepareSpecialUse({&res}, {this});
-    NativeOpExecutioner::execReduceSameScalar(getContext(), sd::reduce::SameOps::Sum, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo());
-    NDArray::registerSpecialUse({&res}, {this});
+        NDArray::prepareSpecialUse({&res}, {this});
+        NativeOpExecutioner::execReduceSameScalar(getContext(), sd::reduce::SameOps::Sum, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo());
+        NDArray::registerSpecialUse({&res}, {this});
 
-    return res;
-}
+        return res;
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // This method returns mean number of this NDArray
-NDArray NDArray::meanNumber() const {
+    NDArray NDArray::meanNumber() const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::meanNumber: you can't use this method on String array!");
-    NDArray res(DataTypeUtils::pickFloatingType(dataType()), getContext());
+        if (isS())
+            throw std::runtime_error("NDArray::meanNumber: you can't use this method on String array!");
+        NDArray res(DataTypeUtils::pickFloatingType(dataType()), getContext());
 
-    NDArray::prepareSpecialUse({&res}, {this});
-    NativeOpExecutioner::execReduceFloatScalar(getContext(), sd::reduce::FloatOps::Mean, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo());
-    NDArray::registerSpecialUse({&res}, {this});
-    return res;
-}
+        NDArray::prepareSpecialUse({&res}, {this});
+        NativeOpExecutioner::execReduceFloatScalar(getContext(), sd::reduce::FloatOps::Mean, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo());
+        NDArray::registerSpecialUse({&res}, {this});
+        return res;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::hasNaNs() {
-    if (isS())
-        throw std::runtime_error("NDArray::hasNaNs: you can't use this method on String array!");
-    return this->reduceNumber(sd::reduce::IsNan, nullptr).e(0) > 0;
-}
+    bool NDArray::hasNaNs() {
+        if (isS())
+            throw std::runtime_error("NDArray::hasNaNs: you can't use this method on String array!");
+        return this->reduceNumber(sd::reduce::IsNan, nullptr).e(0) > 0;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::hasInfs() {
-    if (isS())
-        throw std::runtime_error("NDArray::hasInfs: you can't use this method on String array!");
-    return this->reduceNumber(sd::reduce::IsInf, nullptr).e(0) > 0;
-}
+    bool NDArray::hasInfs() {
+        if (isS())
+            throw std::runtime_error("NDArray::hasInfs: you can't use this method on String array!");
+        return this->reduceNumber(sd::reduce::IsInf, nullptr).e(0) > 0;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::isFinite() {
-    if (isS())
-        throw std::runtime_error("NDArray::isFinite: you can't use this method on String array!");
-    return this->reduceNumber(sd::reduce::IsInfOrNan, nullptr).e(0) == 0;
-}
+    bool NDArray::isFinite() {
+        if (isS())
+            throw std::runtime_error("NDArray::isFinite: you can't use this method on String array!");
+        return this->reduceNumber(sd::reduce::IsInfOrNan, nullptr).e(0) == 0;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::templatedSet(void *buffer, const Nd4jLong *indices, const void *value) {
-    auto t = reinterpret_cast(buffer);
-    const auto y = *(reinterpret_cast(value));
+    template 
+    void NDArray::templatedSet(void *buffer, const Nd4jLong *indices, const void *value) {
+        auto t = reinterpret_cast(buffer);
+        const auto y = *(reinterpret_cast(value));
 
-    auto xOffset = shape::getOffset(shapeInfo(), indices);
-    t[xOffset] = static_cast(y);
-}
-BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedSet, (void *buffer, const Nd4jLong *indices, const void *value), LIBND4J_TYPES, LIBND4J_TYPES);
+        auto xOffset = shape::getOffset(shapeInfo(), indices);
+        t[xOffset] = static_cast(y);
+    }
+    BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedSet, (void *buffer, const Nd4jLong *indices, const void *value), LIBND4J_TYPES, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::templatedSet(void *buffer, const Nd4jLong offset, const void *value) {
-    auto t = reinterpret_cast(buffer);
-    const auto y = *(reinterpret_cast(value));
+    template 
+    void NDArray::templatedSet(void *buffer, const Nd4jLong offset, const void *value) {
+        auto t = reinterpret_cast(buffer);
+        const auto y = *(reinterpret_cast(value));
 
-    t[offset] = static_cast(y);
-}
-BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedSet, (void *buffer, const Nd4jLong offset, const void *value), LIBND4J_TYPES, LIBND4J_TYPES);
+        t[offset] = static_cast(y);
+    }
+    BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedSet, (void *buffer, const Nd4jLong offset, const void *value), LIBND4J_TYPES, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::setContext(sd::LaunchContext  *context) {
+    void NDArray::setContext(sd::LaunchContext  *context) {
 
-    _context = context;
-    if (getContext() == nullptr)
-        _context = sd::LaunchContext ::defaultContext(); // empty context for default cases
-}
+        _context = context;
+        if (getContext() == nullptr)
+            _context = sd::LaunchContext ::defaultContext(); // empty context for default cases
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void const* NDArray::bufferWithOffset(Nd4jLong offset) const {
-    return const_cast(buffer() != nullptr ? static_cast(buffer()) + (offset * sizeOfT()) : nullptr);
-}
+    void const* NDArray::bufferWithOffset(Nd4jLong offset) const {
+        return const_cast(buffer() != nullptr ? static_cast(buffer()) + (offset * sizeOfT()) : nullptr);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void* NDArray::bufferWithOffset(Nd4jLong offset) {
-    return const_cast(buffer() != nullptr ? static_cast(buffer()) + (offset * sizeOfT()) : nullptr);
-}
+    void* NDArray::bufferWithOffset(Nd4jLong offset) {
+        return const_cast(buffer() != nullptr ? static_cast(buffer()) + (offset * sizeOfT()) : nullptr);
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // eventually method reduces array by excluding its shapes along axes present in dimensions vector
-NDArray NDArray::reduceAlongDimension(sd::reduce::FloatOps op, const std::vector& dimensions, const bool keepDims) const {
+    NDArray NDArray::reduceAlongDimension(sd::reduce::FloatOps op, const std::vector& dimensions, const bool keepDims) const {
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, isR() ? dataType() : Environment::getInstance().defaultFloatDataType(), keepDims, false, getContext()->getWorkspace());
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, isR() ? dataType() : Environment::getInstance().defaultFloatDataType(), keepDims, false, getContext()->getWorkspace());
 
-    NDArray result(newShape, true, getContext());
+        NDArray result(newShape, true, getContext());
 
-    this->reduceAlongDimension(op, result, copy, keepDims, false);
+        this->reduceAlongDimension(op, result, copy, keepDims, false);
 
-    return result;
-}
+        return result;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceAlongDimension(sd::reduce::SameOps op, const std::vector& dimensions, const bool keepDims) const {
+    NDArray NDArray::reduceAlongDimension(sd::reduce::SameOps op, const std::vector& dimensions, const bool keepDims) const {
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, keepDims, false, getContext()->getWorkspace());
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, keepDims, false, getContext()->getWorkspace());
 
-    NDArray result(newShape, true, getContext());
+        NDArray result(newShape, true, getContext());
 
-    reduceAlongDimension(op, result, copy, keepDims, false);
+        reduceAlongDimension(op, result, copy, keepDims, false);
 
-    return result;
-}
+        return result;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceAlongDimension(sd::reduce::BoolOps op, const std::vector& dimensions, const bool keepDims) const {
+    NDArray NDArray::reduceAlongDimension(sd::reduce::BoolOps op, const std::vector& dimensions, const bool keepDims) const {
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataType::BOOL, keepDims, false, getContext()->getWorkspace());
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataType::BOOL, keepDims, false, getContext()->getWorkspace());
 
-    NDArray result(newShape, true, getContext());
+        NDArray result(newShape, true, getContext());
 
-    reduceAlongDimension(op, result, copy, keepDims, false);
+        reduceAlongDimension(op, result, copy, keepDims, false);
 
-    return result;
-}
+        return result;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceAlongDimension(sd::reduce::LongOps op, const std::vector& dimensions, const bool keepDims) const {
+    NDArray NDArray::reduceAlongDimension(sd::reduce::LongOps op, const std::vector& dimensions, const bool keepDims) const {
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataType::INT64, keepDims, false, getContext()->getWorkspace());
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataType::INT64, keepDims, false, getContext()->getWorkspace());
 
-    NDArray result(newShape, true, getContext());
+        NDArray result(newShape, true, getContext());
 
-    reduceAlongDimension(op, result, copy, keepDims, false);
+        reduceAlongDimension(op, result, copy, keepDims, false);
 
-    return result;
-}
+        return result;
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // method reduces array by excluding its shapes along axes present in dimensions vector
-NDArray NDArray::reduceAlongDimension(sd::reduce::FloatOps op, const std::initializer_list& dimensions, const bool keepDims) const {
-    return reduceAlongDimension(op, std::vector(dimensions), keepDims);
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceAlongDimension(sd::reduce::SameOps op, const std::initializer_list& dimensions, const bool keepDims) const {
-    return reduceAlongDimension(op, std::vector(dimensions), keepDims);
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceAlongDimension(sd::reduce::BoolOps op, const std::initializer_list& dimensions, const bool keepDims) const {
-    return reduceAlongDimension(op, std::vector(dimensions), keepDims);
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceAlongDimension(sd::reduce::LongOps op, const std::initializer_list& dimensions, const bool keepDims) const {
-    return reduceAlongDimension(op, std::vector(dimensions), keepDims);
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceNumber(sd::reduce::FloatOps op, void *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber FloatOps: you can't use this method on String array!");
-
-    auto shape = ConstantShapeHelper::getInstance().scalarShapeInfo(DataTypeUtils::pickFloatingType(dataType()));
-    NDArray result(shape, true, this->getContext());
-
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execReduceFloatScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
-    NDArray::registerSpecialUse({&result}, {this});
-
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceNumber(sd::reduce::SameOps op, void *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber SameOps: you can't use this method on String array!");
-
-    NDArray result(dataType(), getContext());
-
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execReduceSameScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
-    NDArray::registerSpecialUse({&result}, {this});
-
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceNumber(sd::reduce::BoolOps op, void *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber BoolOps: you can't use this method on String array!");
-
-    auto shape = ConstantShapeHelper::getInstance().scalarShapeInfo(DataType::BOOL);
-    NDArray result(shape, true, this->getContext());
-
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execReduceBoolScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
-    NDArray::registerSpecialUse({&result}, {this});
-
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reduceNumber(sd::reduce::LongOps op, void *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber LongOps: you can't use this method on String array!");
-
-    auto shape = ConstantShapeHelper::getInstance().scalarShapeInfo(DataType::INT64);
-    NDArray result(shape, true, this->getContext());
-
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execReduceLongScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
-    NDArray::registerSpecialUse({&result}, {this});
-
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::reduceNumber(sd::reduce::FloatOps op, NDArray& target, void *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber FloatOps: you can't use this method on String array!");
-    if(target.lengthOf() != 1 || target.dataType() != DataTypeUtils::pickFloatingType(dataType()))
-        throw std::invalid_argument("NDArray::reduceNumber FloatOps: target array should be scalar and have corresponding float type!");
-
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execReduceFloatScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    NDArray::registerSpecialUse({&target}, {this});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::reduceNumber(sd::reduce::SameOps op, NDArray& target, void *extraParams) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber SameOps: you can't use this method on String array!");
-    if(target.lengthOf() != 1 || target.dataType() != dataType())
-        throw std::invalid_argument("NDArray::reduceNumber SameOps: target array should be scalar and have same type as this array!");
-
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execReduceSameScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    NDArray::registerSpecialUse({&target}, {this});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::reduceNumber(sd::reduce::BoolOps op, NDArray& target, void *extraParams) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber BoolOps: you can't use this method on String array!");
-    if(target.lengthOf() != 1 || target.dataType() != DataType::BOOL)
-        throw std::invalid_argument("NDArray::reduceNumber BoolOps: target array should be scalar and have bool type!");
-
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execReduceBoolScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    NDArray::registerSpecialUse({&target}, {this});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::reduceNumber(sd::reduce::LongOps op, NDArray& target, void *extraParams) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::reduceNumber LongOps: you can't use this method on String array!");
-    if(target.lengthOf() != 1 || target.dataType() != DataType::INT64)
-        throw std::invalid_argument("NDArray::reduceNumber LongOps: target array should be scalar and have long type!");
-
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execReduceLongScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    NDArray::registerSpecialUse({&target}, {this});
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::indexReduceNumber(sd::indexreduce::Ops op, ExtraArguments *extraParams) {
-    if (isS())
-        throw std::runtime_error("NDArray::indexReduceNumber: you can't use this method on String array!");
-
-    auto res = NDArrayFactory::create(0);
-
-    NDArray::NDArray::prepareSpecialUse({&res}, {this});
-    NativeOpExecutioner::execIndexReduceScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams == nullptr ? nullptr : extraParams->argumentsAsT(this->dataType()), res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo());
-    NDArray::NDArray::registerSpecialUse({&res}, {this});
-
-    return res;
-}
-
-//////////////////////////////////////////////////////////////////////////
-Nd4jLong NDArray::tensorsAlongDimension(std::initializer_list dimensions) const {
-    return tensorsAlongDimension(std::vector(dimensions));
-}
-
-//////////////////////////////////////////////////////////////////////////
-Nd4jLong NDArray::tensorsAlongDimension(const std::vector& dimensions) const {
-    std::vector copy(dimensions);
-    shape::checkDimensions(rankOf(), copy);
-
-    Nd4jLong tadLength = shape::tadLength(this->_shapeInfo, copy.data(), copy.size());
-    Nd4jLong numTads = this->lengthOf() / tadLength;
-
-    return numTads;
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::printShapeInfo(const char * msg) const {
-
-    int rank = shape::rank(_shapeInfo);
-    int lim = shape::shapeInfoLength(rank);
-
-    if(msg != nullptr)
-        printf("shapeInfo %s: [", msg);
-    else
-        printf("shapeInfo: [");
-
-    printf("%i,  ", rank);
-    for (int i = 1; i < shape::shapeInfoLength(rank) - 3; i++){
-        if(i == rank + 1)
-            printf("  ");
-        printf("%lld,", _shapeInfo[i]);
+    NDArray NDArray::reduceAlongDimension(sd::reduce::FloatOps op, const std::initializer_list& dimensions, const bool keepDims) const {
+        return reduceAlongDimension(op, std::vector(dimensions), keepDims);
     }
-    printf("  %lld,", shape::type(_shapeInfo));
-    printf("%lld,", shape::elementWiseStride(_shapeInfo));
-    printf("%lld]\n", (Nd4jLong)shape::order(_shapeInfo));
-
-    fflush(stdout);
-}
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::printBuffer(const char* msg, Nd4jLong limit, const bool sync) const{
-    if (sync)
-        syncToHost();
+    NDArray NDArray::reduceAlongDimension(sd::reduce::SameOps op, const std::initializer_list& dimensions, const bool keepDims) const {
+        return reduceAlongDimension(op, std::vector(dimensions), keepDims);
+    }
 
-    if (limit == -1)
-        limit = (int) this->lengthOf();
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::reduceAlongDimension(sd::reduce::BoolOps op, const std::initializer_list& dimensions, const bool keepDims) const {
+        return reduceAlongDimension(op, std::vector(dimensions), keepDims);
+    }
 
-    if (msg != nullptr)
-        printf("%s: [", msg);
-    else
-        printf("[");
-    if (this->isR()) {
-        for (Nd4jLong e = 0; e < limit; e++) {
-            if (e)
-                printf(", ");
-            printf("%f", this->e(e));
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::reduceAlongDimension(sd::reduce::LongOps op, const std::initializer_list& dimensions, const bool keepDims) const {
+        return reduceAlongDimension(op, std::vector(dimensions), keepDims);
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::reduceNumber(sd::reduce::FloatOps op, void *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber FloatOps: you can't use this method on String array!");
+
+        auto shape = ConstantShapeHelper::getInstance().scalarShapeInfo(DataTypeUtils::pickFloatingType(dataType()));
+        NDArray result(shape, true, this->getContext());
+
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execReduceFloatScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        NDArray::registerSpecialUse({&result}, {this});
+
+        return result;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::reduceNumber(sd::reduce::SameOps op, void *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber SameOps: you can't use this method on String array!");
+
+        NDArray result(dataType(), getContext());
+
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execReduceSameScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        NDArray::registerSpecialUse({&result}, {this});
+
+        return result;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::reduceNumber(sd::reduce::BoolOps op, void *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber BoolOps: you can't use this method on String array!");
+
+        auto shape = ConstantShapeHelper::getInstance().scalarShapeInfo(DataType::BOOL);
+        NDArray result(shape, true, this->getContext());
+
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execReduceBoolScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        NDArray::registerSpecialUse({&result}, {this});
+
+        return result;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::reduceNumber(sd::reduce::LongOps op, void *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber LongOps: you can't use this method on String array!");
+
+        auto shape = ConstantShapeHelper::getInstance().scalarShapeInfo(DataType::INT64);
+        NDArray result(shape, true, this->getContext());
+
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execReduceLongScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        NDArray::registerSpecialUse({&result}, {this});
+
+        return result;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::reduceNumber(sd::reduce::FloatOps op, NDArray& target, void *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber FloatOps: you can't use this method on String array!");
+        if(target.lengthOf() != 1 || target.dataType() != DataTypeUtils::pickFloatingType(dataType()))
+            throw std::invalid_argument("NDArray::reduceNumber FloatOps: target array should be scalar and have corresponding float type!");
+
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execReduceFloatScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        NDArray::registerSpecialUse({&target}, {this});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::reduceNumber(sd::reduce::SameOps op, NDArray& target, void *extraParams) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber SameOps: you can't use this method on String array!");
+        if(target.lengthOf() != 1 || target.dataType() != dataType())
+            throw std::invalid_argument("NDArray::reduceNumber SameOps: target array should be scalar and have same type as this array!");
+
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execReduceSameScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        NDArray::registerSpecialUse({&target}, {this});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::reduceNumber(sd::reduce::BoolOps op, NDArray& target, void *extraParams) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber BoolOps: you can't use this method on String array!");
+        if(target.lengthOf() != 1 || target.dataType() != DataType::BOOL)
+            throw std::invalid_argument("NDArray::reduceNumber BoolOps: target array should be scalar and have bool type!");
+
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execReduceBoolScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        NDArray::registerSpecialUse({&target}, {this});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::reduceNumber(sd::reduce::LongOps op, NDArray& target, void *extraParams) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::reduceNumber LongOps: you can't use this method on String array!");
+        if(target.lengthOf() != 1 || target.dataType() != DataType::INT64)
+            throw std::invalid_argument("NDArray::reduceNumber LongOps: target array should be scalar and have long type!");
+
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execReduceLongScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        NDArray::registerSpecialUse({&target}, {this});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::indexReduceNumber(sd::indexreduce::Ops op, ExtraArguments *extraParams) {
+        if (isS())
+            throw std::runtime_error("NDArray::indexReduceNumber: you can't use this method on String array!");
+
+        auto res = NDArrayFactory::create(0);
+
+        NDArray::NDArray::prepareSpecialUse({&res}, {this});
+        NativeOpExecutioner::execIndexReduceScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams == nullptr ? nullptr : extraParams->argumentsAsT(this->dataType()), res.buffer(), res.shapeInfo(), res.specialBuffer(), res.specialShapeInfo());
+        NDArray::NDArray::registerSpecialUse({&res}, {this});
+
+        return res;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    Nd4jLong NDArray::tensorsAlongDimension(std::initializer_list dimensions) const {
+        return tensorsAlongDimension(std::vector(dimensions));
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    Nd4jLong NDArray::tensorsAlongDimension(const std::vector& dimensions) const {
+        std::vector copy(dimensions);
+        shape::checkDimensions(rankOf(), copy);
+
+        Nd4jLong tadLength = shape::tadLength(this->_shapeInfo, copy.data(), copy.size());
+        Nd4jLong numTads = this->lengthOf() / tadLength;
+
+        return numTads;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::printShapeInfo(const char * msg) const {
+
+        int rank = shape::rank(_shapeInfo);
+        int lim = shape::shapeInfoLength(rank);
+
+        if(msg != nullptr) {
+            nd4j_printf("shapeInfo %s: [", msg);
+        } else {
+            nd4j_printf("shapeInfo: [%s", "");
         }
-    }
-    else if (this->isZ()) {
-        for (Nd4jLong e = 0; e < limit; e++) {
-            if (this->dataType() != sd::DataType::INT64 && this->dataType() != sd::DataType::UINT64)
-                printf("%d", this->e(e));
-            else
-                printf("%llu", this->e(e));
-            if (e < limit - 1)
-                printf(", ");
+        nd4j_printf("%i,  ", rank);
+        for (int i = 1; i < shape::shapeInfoLength(rank) - 3; i++){
+            if(i == rank + 1)
+                nd4j_printf("  ","");
+            nd4j_printf("%lld,", _shapeInfo[i]);
         }
+        nd4j_printf("  %lld,", shape::type(_shapeInfo));
+        nd4j_printf("%lld,", shape::elementWiseStride(_shapeInfo));
+        nd4j_printf("%lld]\n", (Nd4jLong)shape::order(_shapeInfo));
+
+        fflush(stdout);
     }
-    else if (this->isB()) {
-        for (Nd4jLong e = 0; e < limit; e++) {
-            if (this->e(e))
-                printf("true");
-            else
-                printf("false");
-            if (e < limit - 1)
-                printf(", ");
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::printBuffer(const char* msg, Nd4jLong limit, const bool sync) const{
+        if (sync)
+            syncToHost();
+
+        if (limit == -1)
+            limit = (int) this->lengthOf();
+
+        if (msg != nullptr)
+            printf("%s: [", msg);
+        else
+            printf("[");
+        if (this->isR()) {
+            for (Nd4jLong e = 0; e < limit; e++) {
+                if (e)
+                    printf(", ");
+                printf("%f", this->e(e));
+            }
         }
-    }
-    else if (this->isS()) {
-        // todo do we need this print offsets
-        /*
+        else if (this->isZ()) {
+            for (Nd4jLong e = 0; e < limit; e++) {
+                if (this->dataType() != sd::DataType::INT64 && this->dataType() != sd::DataType::UINT64)
+                    printf("%d", this->e(e));
+                else
+                    printf("%llu", this->e(e));
+                if (e < limit - 1)
+                    printf(", ");
+            }
+        }
+        else if (this->isB()) {
+            for (Nd4jLong e = 0; e < limit; e++) {
+                if (this->e(e))
+                    printf("true");
+                else
+                    printf("false");
+                if (e < limit - 1)
+                    printf(", ");
+            }
+        }
+        else if (this->isS()) {
+            // todo do we need this print offsets
+            /*
         for (Nd4jLong e = 0; e < limit; e++) {
             printf("\"%lld\"", this->getOffset(e));
             if (e < limit - 1)
@@ -1642,2893 +1645,2893 @@ void NDArray::printBuffer(const char* msg, Nd4jLong limit, const bool sync) cons
         }
         printf("]\n[");
         */
-        for (Nd4jLong e = 0; e < limit; e++) {
-            printf("\"%s\"", this->e(e).c_str());
-            if (e < limit - 1)
-                printf(", ");
-        }
-    }
-    printf("]\n");
-    fflush(stdout);
-}
-
-//////////////////////////////////////////////////////////////////////////
-// print element by element consequently in a way they (elements) are stored in physical memory
-void NDArray::printLinearBuffer() const {
-
-    syncToHost();
-
-    const auto ews = this->ews() > 0 ? this->ews() : 1;
-    const auto len = this->lengthOf();
-
-    printf("[");
-
-    if (this->dataType() == sd::DataType::INT32) {
-        for(Nd4jLong e = 0; e < len; e++)
-            printf("%d, ", this->bufferAsT()[e * ews]);
-    }
-    else if(this->dataType() == sd::DataType::INT64) {
-        for(Nd4jLong e = 0; e < len; e++)
-            printf("%lld, ", this->bufferAsT()[e * ews]);
-    }
-    else if(this->dataType() == sd::DataType::FLOAT32) {
-        for(Nd4jLong e = 0; e < len; e++)
-            printf("%.8f, ", this->bufferAsT()[e * ews]);
-    }
-    else if(this->dataType() == sd::DataType::DOUBLE) {
-        for(Nd4jLong e = 0; e < len; e++)
-            printf("%.8f, ", this->bufferAsT()[e * ews]);
-    }
-    else
-        throw std::invalid_argument("NDArray::printLinearBuffer: not implemented yet for this data type !");
-
-    printf("]\n");
-    fflush(stdout);
-}
-//////////////////////////////////////////////////////////////////////////
-static void printFormatted(NDArray const* arr, int depth, int limit) {
-
-    if (arr->rankOf() == 1) {
-        printf("[ ");
-        for (Nd4jLong i = 0; i < arr->lengthOf(); ++i) {
-            if (arr->isR())
-                printf("%f, ", arr->e(i));
-            else if (arr->isZ())
-                printf("%lld, ", arr->e(i));
-            else if (arr->isB())
-                printf("%s, ", arr->e(i)?"true":"false");
-            else if (arr->isS()) {
-                printf("\"%s\", ", arr->e(i).c_str());
+            for (Nd4jLong e = 0; e < limit; e++) {
+                printf("\"%s\"", this->e(e).c_str());
+                if (e < limit - 1)
+                    printf(", ");
             }
         }
         printf("]\n");
+        fflush(stdout);
     }
-    else if (arr->rankOf() == 2) {
-        Nd4jLong rows = arr->rows();
-        Nd4jLong cols = arr->columns();
-        char* padding = new char[depth + 1];
-        memset(padding, ' ', depth);
-        padding[depth] = 0;
+
+//////////////////////////////////////////////////////////////////////////
+// print element by element consequently in a way they (elements) are stored in physical memory
+    void NDArray::printLinearBuffer() const {
+
+        syncToHost();
+
+        const auto ews = this->ews() > 0 ? this->ews() : 1;
+        const auto len = this->lengthOf();
+
         printf("[");
-        for (Nd4jLong row = 0; row < rows; ++row) {
-            if (row && depth > 0)
-                printf("%s", padding);
-            printf("[");
-            Nd4jLong colLimit = cols > limit?cols:limit;
-            for (Nd4jLong col = 0; col < colLimit; ++col) {
-                if (col)
-                    printf(", ");
+
+        if (this->dataType() == sd::DataType::INT32) {
+            for(Nd4jLong e = 0; e < len; e++)
+                printf("%d, ", this->bufferAsT()[e * ews]);
+        }
+        else if(this->dataType() == sd::DataType::INT64) {
+            for(Nd4jLong e = 0; e < len; e++)
+                printf("%lld, ", this->bufferAsT()[e * ews]);
+        }
+        else if(this->dataType() == sd::DataType::FLOAT32) {
+            for(Nd4jLong e = 0; e < len; e++)
+                printf("%.8f, ", this->bufferAsT()[e * ews]);
+        }
+        else if(this->dataType() == sd::DataType::DOUBLE) {
+            for(Nd4jLong e = 0; e < len; e++)
+                printf("%.8f, ", this->bufferAsT()[e * ews]);
+        }
+        else
+            throw std::invalid_argument("NDArray::printLinearBuffer: not implemented yet for this data type !");
+
+        printf("]\n");
+        fflush(stdout);
+    }
+//////////////////////////////////////////////////////////////////////////
+    static void printFormatted(NDArray const* arr, int depth, int limit) {
+
+        if (arr->rankOf() == 1) {
+            printf("[ ");
+            for (Nd4jLong i = 0; i < arr->lengthOf(); ++i) {
                 if (arr->isR())
-                    printf("%f", arr->e(row, col));
+                    printf("%f, ", arr->e(i));
                 else if (arr->isZ())
-                    printf("%lld", arr->e(row, col));
+                    printf("%lld, ", arr->e(i));
                 else if (arr->isB())
-                    printf("%s", arr->e(row, col)?"true":"false");
+                    printf("%s, ", arr->e(i)?"true":"false");
                 else if (arr->isS()) {
-                    printf("\"%s\"", arr->e(row * cols + col).c_str());
+                    printf("\"%s\", ", arr->e(i).c_str());
                 }
             }
-            if (row < rows - 1)
-                printf("]\n");
-            else
-                printf("]");
+            printf("]\n");
+        }
+        else if (arr->rankOf() == 2) {
+            Nd4jLong rows = arr->rows();
+            Nd4jLong cols = arr->columns();
+            char* padding = new char[depth + 1];
+            memset(padding, ' ', depth);
+            padding[depth] = 0;
+            printf("[");
+            for (Nd4jLong row = 0; row < rows; ++row) {
+                if (row && depth > 0)
+                    printf("%s", padding);
+                printf("[");
+                Nd4jLong colLimit = cols > limit?cols:limit;
+                for (Nd4jLong col = 0; col < colLimit; ++col) {
+                    if (col)
+                        printf(", ");
+                    if (arr->isR())
+                        printf("%f", arr->e(row, col));
+                    else if (arr->isZ())
+                        printf("%lld", arr->e(row, col));
+                    else if (arr->isB())
+                        printf("%s", arr->e(row, col)?"true":"false");
+                    else if (arr->isS()) {
+                        printf("\"%s\"", arr->e(row * cols + col).c_str());
+                    }
+                }
+                if (row < rows - 1)
+                    printf("]\n");
+                else
+                    printf("]");
+            }
+            printf("]");
+            if (padding)
+                delete [] padding;
+        }
+        else {
+            //std::unique_ptr arrs(arr->allTensorsAlongDimension({0}));
+            size_t restCount = 2;
+            printf("[");
+            restCount = ShapeUtils::getNumOfSubArrs(arr->shapeInfo(), {0});
+            for (size_t arrIndex = 0; arrIndex < restCount; ++arrIndex) {
+                NDArray subArr = (*arr)(arrIndex, {0});
+                printFormatted(&subArr, depth + 1, limit);
+                if (arrIndex < restCount - 1) {
+                    for (Nd4jLong i = 1; i < arr->rankOf(); ++i)
+                        printf("\n");
+                    for (Nd4jLong i = 0; i < depth - 2; ++i)
+                        printf(" ");
+                }
+            }
+            printf("]");
         }
-        printf("]");
-        if (padding)
-            delete [] padding;
     }
-    else {
-        //std::unique_ptr arrs(arr->allTensorsAlongDimension({0}));
-        size_t restCount = 2;
-        printf("[");
-        restCount = ShapeUtils::getNumOfSubArrs(arr->shapeInfo(), {0});
-        for (size_t arrIndex = 0; arrIndex < restCount; ++arrIndex) {
-            NDArray subArr = (*arr)(arrIndex, {0});
-            printFormatted(&subArr, depth + 1, limit);
-            if (arrIndex < restCount - 1) {
-                for (Nd4jLong i = 1; i < arr->rankOf(); ++i)
-                    printf("\n");
-                for (Nd4jLong i = 0; i < depth - 2; ++i)
-                    printf(" ");
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::printIndexedBuffer(const char* msg, Nd4jLong limit) const {
+
+        syncToHost();
+
+        Nd4jLong rank = this->rankOf();
+
+        bool rowFlag = (rank < 2) || (rank == 2 && this->sizeAt(0) == 1);
+
+        if (msg)
+            printf("%s: ", msg);
+
+        if (this->isEmpty()) {
+            printf("Empty\n");
+        }
+        else if (this->rankOf() == 0) {
+            if (this->isZ())
+                printf("%lld\n", this->e(0));
+            else if (this->isR())
+                printf("%.8f\n", this->e(0));
+            else if (this->isB()) {
+                printf("%s\n", this->e(0)?"true":"false");
+            }
+            else if (this->isS()) {
+                // todo do we need this
+                // printf("\"%lld\"\n", this->getOffset(e));
+                printf("\"%s\"\n", this->e(0).c_str());
             }
         }
-        printf("]");
-    }
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::printIndexedBuffer(const char* msg, Nd4jLong limit) const {
-
-    syncToHost();
-
-    Nd4jLong rank = this->rankOf();
-
-    bool rowFlag = (rank < 2) || (rank == 2 && this->sizeAt(0) == 1);
-
-    if (msg)
-        printf("%s: ", msg);
-
-    if (this->isEmpty()) {
-        printf("Empty\n");
-    }
-    else if (this->rankOf() == 0) {
-        if (this->isZ())
-            printf("%lld\n", this->e(0));
-        else if (this->isR())
-            printf("%.8f\n", this->e(0));
-        else if (this->isB()) {
-            printf("%s\n", this->e(0)?"true":"false");
-        }
-        else if (this->isS()) {
-            // todo do we need this
-            // printf("\"%lld\"\n", this->getOffset(e));
-            printf("\"%s\"\n", this->e(0).c_str());
-        }
-    }
-    else if (rowFlag && ews()==1)
-        printBuffer(nullptr, limit);
-    else {
-        if (msg)
+        else if (rowFlag && ews()==1)
+            printBuffer(nullptr, limit);
+        else {
+            if (msg)
+                printf("\n");
+            printFormatted(this, 1, limit);
             printf("\n");
-        printFormatted(this, 1, limit);
-        printf("\n");
+        }
+        fflush(stdout);
     }
-    fflush(stdout);
-}
 
 //////////////////////////////////////////////////////////////////////////
-template 
-void* NDArray::templatedPointerShift(const Nd4jLong offset) const {
-    return const_cast(reinterpret_cast(buffer()) + offset);
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT void* NDArray::templatedPointerShift, (const Nd4jLong offset) const, LIBND4J_TYPES);
+    template 
+    void* NDArray::templatedPointerShift(const Nd4jLong offset) const {
+        return const_cast(reinterpret_cast(buffer()) + offset);
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT void* NDArray::templatedPointerShift, (const Nd4jLong offset) const, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
 // method makes copy of this array and applies to the copy transpose operation, this array remains unaffected
-NDArray NDArray::transpose() const &{
-    NDArray newArr(getDataBuffer(), ShapeDescriptor(shapeInfo()), getContext(), bufferOffset());
-    newArr.transposei();
+    NDArray NDArray::transpose() const &{
+        NDArray newArr(getDataBuffer(), ShapeDescriptor(shapeInfo()), getContext(), bufferOffset());
+        newArr.transposei();
 
-    return newArr;
-}
+        return newArr;
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // method makes copy of this array and applies to the copy transpose operation, this array remains unaffected
-NDArray NDArray::transpose() && {
+    NDArray NDArray::transpose() && {
 
-    this->transposei();
-    return std::move(*this);
-}
+        this->transposei();
+        return std::move(*this);
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // method performs transpose operation based on this array and store result in target, this array remains unaffected
-void NDArray::transpose(NDArray& target) const {
+    void NDArray::transpose(NDArray& target) const {
 
-    auto correctShape = ShapeUtils::evalTranspShapeInfo(*this, getContext()->getWorkspace());
-    if(!shape::equalsStrict(correctShape, target.shapeInfo()))
-        throw std::runtime_error("NDArray::transpose method: the shapeInfo of target array is wrong !");
+        auto correctShape = ShapeUtils::evalTranspShapeInfo(*this, getContext()->getWorkspace());
+        if(!shape::equalsStrict(correctShape, target.shapeInfo()))
+            throw std::runtime_error("NDArray::transpose method: the shapeInfo of target array is wrong !");
 
-    target._buffer = _buffer;
-    target._offset = _offset;
-    target._isView = true;
-}
+        target._buffer = _buffer;
+        target._offset = _offset;
+        target._isView = true;
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // This method applies in-place transpose to this array, so this array becomes transposed
-void NDArray::transposei() {
-    std::vector perm;
-    for (int e = this->rankOf() - 1; e >= 0; e--)
-        perm.emplace_back(e);
+    void NDArray::transposei() {
+        std::vector perm;
+        for (int e = this->rankOf() - 1; e >= 0; e--)
+            perm.emplace_back(e);
 
-    this->permutei(perm);
-}
+        this->permutei(perm);
+    }
 
 ////////////////////////////////////////////////////////////////////////
-bool NDArray::equalsTo(const NDArray &other, double eps) const {
-    return equalsTo(&other, eps);
-}
+    bool NDArray::equalsTo(const NDArray &other, double eps) const {
+        return equalsTo(&other, eps);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::setAttached(bool reallyAttached) {
-    _isAttached = reallyAttached;
-};
+    void NDArray::setAttached(bool reallyAttached) {
+        _isAttached = reallyAttached;
+    };
 
 //////////////////////////////////////////////////////////////////////////
 // calculate strides
-void NDArray::updateStrides(const char order) {
-    throw std::runtime_error("Forbidden method");
-}
+    void NDArray::updateStrides(const char order) {
+        throw std::runtime_error("Forbidden method");
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // set new order and shape in case of suitable array length
-bool NDArray::reshapei(const char order, const std::initializer_list& shape, const bool copyToNewBuff) {
-    std::vector vShape(shape);
-    return reshapei(order, vShape, copyToNewBuff);
-}
-
-//////////////////////////////////////////////////////////////////////////
-bool NDArray::reshapei(const std::initializer_list& shape, const bool copyToNewBuff) {
-    return reshapei(ordering(), shape, copyToNewBuff);
-}
-
-//////////////////////////////////////////////////////////////////////////
-bool NDArray::reshapei(const std::vector& shape, const bool copyToNewBuff) {
-    return reshapei(ordering(), shape, copyToNewBuff);
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::enforce(const std::initializer_list &dimensions, char order) {
-    std::vector dims(dimensions);
-    enforce(dims, order);
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::enforce(std::vector &dimensions, char o) {
-
-    Nd4jLong prod = 1;
-    for (int e = 0; e < dimensions.size(); e++)
-        prod *= dimensions[e];
-
-    if (prod != this->lengthOf()) {
-        std::string current = ShapeUtils::shapeAsString(this);
-        std::string enforced = ShapeUtils::shapeAsString(dimensions);
-        nd4j_printf("Can't enforce new shape, lengths mismatch. Original shape: %s; Requested shape: %s\n", current.c_str(), enforced.c_str());
-        throw std::runtime_error("Incompatible shape");
+    bool NDArray::reshapei(const char order, const std::initializer_list& shape, const bool copyToNewBuff) {
+        std::vector vShape(shape);
+        return reshapei(order, vShape, copyToNewBuff);
     }
 
-    char order = o == 'a' ? this->ordering() : o;
-    setShapeInfo(ShapeDescriptor(dataType(), order, dimensions));
-}
+//////////////////////////////////////////////////////////////////////////
+    bool NDArray::reshapei(const std::initializer_list& shape, const bool copyToNewBuff) {
+        return reshapei(ordering(), shape, copyToNewBuff);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-Nd4jLong NDArray::argMax(std::initializer_list dimensions) {
+    bool NDArray::reshapei(const std::vector& shape, const bool copyToNewBuff) {
+        return reshapei(ordering(), shape, copyToNewBuff);
+    }
 
-    if (isS())
-    throw std::runtime_error("NDArray::argMax: you can't use this method on String array!");
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::enforce(const std::initializer_list &dimensions, char order) {
+        std::vector dims(dimensions);
+        enforce(dims, order);
+    }
 
-    if (dimensions.size() == 0) {
-        Nd4jLong max = 0;
-        auto mv = -DataTypeUtils::max();
-        for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
-            auto val = this->e(e);
-            if (mv < val) {
-                mv = val;
-                max = e;
-            }
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::enforce(std::vector &dimensions, char o) {
+
+        Nd4jLong prod = 1;
+        for (int e = 0; e < dimensions.size(); e++)
+            prod *= dimensions[e];
+
+        if (prod != this->lengthOf()) {
+            std::string current = ShapeUtils::shapeAsString(this);
+            std::string enforced = ShapeUtils::shapeAsString(dimensions);
+            nd4j_printf("Can't enforce new shape, lengths mismatch. Original shape: %s; Requested shape: %s\n", current.c_str(), enforced.c_str());
+            throw std::runtime_error("Incompatible shape");
         }
-        return max;
+
+        char order = o == 'a' ? this->ordering() : o;
+        setShapeInfo(ShapeDescriptor(dataType(), order, dimensions));
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    Nd4jLong NDArray::argMax(std::initializer_list dimensions) {
+
+        if (isS())
+            throw std::runtime_error("NDArray::argMax: you can't use this method on String array!");
+
+        if (dimensions.size() == 0) {
+            Nd4jLong max = 0;
+            auto mv = -DataTypeUtils::max();
+            for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
+                auto val = this->e(e);
+                if (mv < val) {
+                    mv = val;
+                    max = e;
+                }
+            }
+            return max;
+        }
+        else
+            throw std::runtime_error("Not implemented yet");
     }
-    else
-        throw std::runtime_error("Not implemented yet");
-}
 
 //////////////////////////////////////////////////////////////////////////
 // create new array with corresponding order and shape, new array will point to the same _buffer as this array
-NDArray NDArray::reshape(const char order, const std::vector& shape, const bool copyToNewBuff) const & {
+    NDArray NDArray::reshape(const char order, const std::vector& shape, const bool copyToNewBuff) const & {
 
-    NDArray newArr(getDataBuffer(), ShapeDescriptor(shapeInfo()), getContext(), bufferOffset());
-    newArr.reshapei(order, shape, copyToNewBuff);
+        NDArray newArr(getDataBuffer(), ShapeDescriptor(shapeInfo()), getContext(), bufferOffset());
+        newArr.reshapei(order, shape, copyToNewBuff);
 
-    return newArr;
-}
+        return newArr;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::reshape(const char order, const std::vector& shape, const bool copyToNewBuff) && {
+    NDArray NDArray::reshape(const char order, const std::vector& shape, const bool copyToNewBuff) && {
 
-    this->reshapei(order, shape, copyToNewBuff);
-    return std::move(*this);
-}
+        this->reshapei(order, shape, copyToNewBuff);
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // change an array by repeating it the number of times given by reps.
-void NDArray::tilei(const std::vector& reps) {
-    *this = this->tile(reps);
-}
+    void NDArray::tilei(const std::vector& reps) {
+        *this = this->tile(reps);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-Nd4jLong NDArray::sizeAt(const int dim) const {
+    Nd4jLong NDArray::sizeAt(const int dim) const {
 
-    if (dim >= this->rankOf() || dim < -this->rankOf())
-        throw std::runtime_error("NDArray::sizeAt: bad size index requested");
+        if (dim >= this->rankOf() || dim < -this->rankOf())
+            throw std::runtime_error("NDArray::sizeAt: bad size index requested");
 
-    if (dim >= 0)
-        return shape::shapeOf(_shapeInfo)[dim];
-    else
-        return shape::shapeOf(_shapeInfo)[this->rankOf() + dim];
-}
+        if (dim >= 0)
+            return shape::shapeOf(_shapeInfo)[dim];
+        else
+            return shape::shapeOf(_shapeInfo)[this->rankOf() + dim];
+    }
 
 //////////////////////////////////////////////////////////////////////////
-Nd4jLong NDArray::strideAt(const int dim) const {
+    Nd4jLong NDArray::strideAt(const int dim) const {
 
-    if (dim >= this->rankOf() || dim < -this->rankOf())
-        throw std::runtime_error("NDArray::strideAt: Bad size index requested");
+        if (dim >= this->rankOf() || dim < -this->rankOf())
+            throw std::runtime_error("NDArray::strideAt: Bad size index requested");
 
-    if (dim >= 0)
-        return shape::stride(_shapeInfo)[dim];
-    else
-        return shape::stride(_shapeInfo)[this->rankOf() + dim];
-}
+        if (dim >= 0)
+            return shape::stride(_shapeInfo)[dim];
+        else
+            return shape::stride(_shapeInfo)[this->rankOf() + dim];
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::permutei(const std::initializer_list& dimensions) {
-    std::vector vec(dimensions);
-    return permutei(vec);
-}
+    bool NDArray::permutei(const std::initializer_list& dimensions) {
+        std::vector vec(dimensions);
+        return permutei(vec);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::permutei(const std::vector& dimensions) {
-    return permutei(dimensions.data(), rankOf());
-}
+    bool NDArray::permutei(const std::vector& dimensions) {
+        return permutei(dimensions.data(), rankOf());
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::permutei(const std::initializer_list& dimensions) {
-    std::vector vec(dimensions);
-    std::vector ivec(dimensions.size());
+    bool NDArray::permutei(const std::initializer_list& dimensions) {
+        std::vector vec(dimensions);
+        std::vector ivec(dimensions.size());
 
-    for (int e = 0; e < vec.size(); e++)
-        ivec[e] = static_cast(vec[e]);
+        for (int e = 0; e < vec.size(); e++)
+            ivec[e] = static_cast(vec[e]);
 
-    return permutei(ivec);
-}
+        return permutei(ivec);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::permutei(const std::vector& dimensions) {
+    bool NDArray::permutei(const std::vector& dimensions) {
 
-    std::vector ivec(dimensions.size());
+        std::vector ivec(dimensions.size());
 
-    for (int e = 0; e < dimensions.size(); e++)
-        ivec[e] = dimensions[e];
+        for (int e = 0; e < dimensions.size(); e++)
+            ivec[e] = dimensions[e];
 
-    return permutei(ivec.data(), rankOf());
-}
+        return permutei(ivec.data(), rankOf());
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const int* dimensions, const int rank) const & {
+    NDArray NDArray::permute(const int* dimensions, const int rank) const & {
 
-    // evaluate shapeInfo for output (permuted) array ret
-    auto shapeInfoPermuted = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, getContext()->getWorkspace());
-    NDArray ret(getDataBuffer(), ShapeDescriptor(shapeInfoPermuted), getContext(), bufferOffset());
-	ret._isView = true;
-    return ret;
-}
+        // evaluate shapeInfo for output (permuted) array ret
+        auto shapeInfoPermuted = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, getContext()->getWorkspace());
+        NDArray ret(getDataBuffer(), ShapeDescriptor(shapeInfoPermuted), getContext(), bufferOffset());
+        ret._isView = true;
+        return ret;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const int* dimensions, const int rank) && {
+    NDArray NDArray::permute(const int* dimensions, const int rank) && {
 
-    this->permutei(dimensions, rank);
-    return std::move(*this);
-}
+        this->permutei(dimensions, rank);
+        return std::move(*this);
+    }
 
 /////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const Nd4jLong* dimensions, const int rank) const &{
-    int tempDims[MAX_RANK];
-    shape::convertT(const_cast(dimensions), tempDims, rank);
-    return permute(tempDims, rank);
-}
+    NDArray NDArray::permute(const Nd4jLong* dimensions, const int rank) const &{
+        int tempDims[MAX_RANK];
+        shape::convertT(const_cast(dimensions), tempDims, rank);
+        return permute(tempDims, rank);
+    }
 
 /////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const Nd4jLong* dimensions, const int rank) && {
+    NDArray NDArray::permute(const Nd4jLong* dimensions, const int rank) && {
 
-    this->permutei(dimensions, rank);
-    return std::move(*this);
-}
+        this->permutei(dimensions, rank);
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::vector& dimensions) const &{
+    NDArray NDArray::permute(const std::vector& dimensions) const &{
 
-    return permute(dimensions.data(), rankOf());
-}
+        return permute(dimensions.data(), rankOf());
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::vector& dimensions) && {
+    NDArray NDArray::permute(const std::vector& dimensions) && {
 
-    this->permutei(dimensions);
-    return std::move(*this);
-}
+        this->permutei(dimensions);
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::vector& dimensions) const & {
+    NDArray NDArray::permute(const std::vector& dimensions) const & {
 
-    return permute(dimensions.data(), rankOf());
-}
+        return permute(dimensions.data(), rankOf());
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::vector& dimensions) && {
+    NDArray NDArray::permute(const std::vector& dimensions) && {
 
-    this->permutei(dimensions);
-    return std::move(*this);
-}
+        this->permutei(dimensions);
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::initializer_list& dimensions) const &{
+    NDArray NDArray::permute(const std::initializer_list& dimensions) const &{
 
-    std::vector vec(dimensions);
-    return permute(vec);
-}
+        std::vector vec(dimensions);
+        return permute(vec);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::initializer_list& dimensions) && {
+    NDArray NDArray::permute(const std::initializer_list& dimensions) && {
 
-    this->permutei(dimensions);
-    return std::move(*this);
-}
+        this->permutei(dimensions);
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::initializer_list& dimensions) const & {
-    std::vector vec(dimensions);
-    return permute(vec);
-}
+    NDArray NDArray::permute(const std::initializer_list& dimensions) const & {
+        std::vector vec(dimensions);
+        return permute(vec);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::permute(const std::initializer_list& dimensions) && {
+    NDArray NDArray::permute(const std::initializer_list& dimensions) && {
 
-    this->permutei(dimensions);
-    return std::move(*this);
-}
+        this->permutei(dimensions);
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::permute(const int* dimensions, const int rank, NDArray& target) const {
-    if (!nonNull() || !target.nonNull() || rank != rankOf() || rank != target.rankOf() )
-        throw std::runtime_error("NDArray::permute method: either arrays are nullptr or ranks are not suitable!");
+    void NDArray::permute(const int* dimensions, const int rank, NDArray& target) const {
+        if (!nonNull() || !target.nonNull() || rank != rankOf() || rank != target.rankOf() )
+            throw std::runtime_error("NDArray::permute method: either arrays are nullptr or ranks are not suitable!");
 
-    auto shapeInfoNew = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, target.getContext()->getWorkspace());
+        auto shapeInfoNew = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, target.getContext()->getWorkspace());
 
-    target.setShapeInfo(shapeInfoNew);
-    target._buffer = _buffer;
-    target._offset = _offset;
-}
+        target.setShapeInfo(shapeInfoNew);
+        target._buffer = _buffer;
+        target._offset = _offset;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::permute(const Nd4jLong *dimensions, const int rank, NDArray& target) const {
-    if (!nonNull() || !target.nonNull() || rank != rankOf() || rank != target.rankOf() )
-        throw std::runtime_error("NDArray::permute method: either arrays are nullptr or ranks are not suitable!");
+    void NDArray::permute(const Nd4jLong *dimensions, const int rank, NDArray& target) const {
+        if (!nonNull() || !target.nonNull() || rank != rankOf() || rank != target.rankOf() )
+            throw std::runtime_error("NDArray::permute method: either arrays are nullptr or ranks are not suitable!");
 
-    auto shapeInfoNew = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, target.getContext()->getWorkspace());
+        auto shapeInfoNew = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, target.getContext()->getWorkspace());
 
-    target.setShapeInfo(shapeInfoNew);
-    target._buffer = _buffer;
-    target._offset = _offset;
-}
+        target.setShapeInfo(shapeInfoNew);
+        target._buffer = _buffer;
+        target._offset = _offset;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::permute(const std::vector& dimensions, NDArray& target) const {
-    permute(dimensions.data(), rankOf(), target);
-}
+    void NDArray::permute(const std::vector& dimensions, NDArray& target) const {
+        permute(dimensions.data(), rankOf(), target);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::permute(const std::vector& dimensions, NDArray& target) const {
-    permute(dimensions.data(), rankOf(), target);
-}
+    void NDArray::permute(const std::vector& dimensions, NDArray& target) const {
+        permute(dimensions.data(), rankOf(), target);
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // check whether array is identity matrix
-bool NDArray::isIdentityMatrix() {
-    if (isS())
-        throw std::runtime_error("NDArray::isIdentityMatrix: you can't use this method on String array!");
-	if(rankOf() !=2 || rows() != columns())
-	   throw std::runtime_error("isIdentityMatrix method: matrix must be square and have rank = 2 !");
+    bool NDArray::isIdentityMatrix() {
+        if (isS())
+            throw std::runtime_error("NDArray::isIdentityMatrix: you can't use this method on String array!");
+        if(rankOf() !=2 || rows() != columns())
+            throw std::runtime_error("isIdentityMatrix method: matrix must be square and have rank = 2 !");
 
-	const double eps = 1e-5f;
-	for(Nd4jLong i=0; i(i,i) - 1.f) > eps)
-		  return false;
-
-	for(Nd4jLong i=0; i(i,j)) > eps)
+        const double eps = 1e-5f;
+        for(Nd4jLong i=0; i(i,i) - 1.f) > eps)
                 return false;
-		}
+
+        for(Nd4jLong i=0; i(i,j)) > eps)
+                    return false;
+            }
+        }
+        return true;
     }
-    return true;
-}
 
 //////////////////////////////////////////////////////////////////////////
 // check whether array is unitary matrix
-bool NDArray::isUnitary() {
-    if (isS())
-        throw std::runtime_error("NDArray::isUnitary: you can't use this method on String array!");
-    if(rankOf() != 2 || rows() != columns())
-        throw std::runtime_error("isUnitary method: matrix must be square and have rank = 2 !");
+    bool NDArray::isUnitary() {
+        if (isS())
+            throw std::runtime_error("NDArray::isUnitary: you can't use this method on String array!");
+        if(rankOf() != 2 || rows() != columns())
+            throw std::runtime_error("isUnitary method: matrix must be square and have rank = 2 !");
 
-    auto tr = this->transpose();
-    auto trMul = MmulHelper::mmul(this, &tr, nullptr, 1.f, 0.f);
+        auto tr = this->transpose();
+        auto trMul = MmulHelper::mmul(this, &tr, nullptr, 1.f, 0.f);
 
-    bool result = trMul->isIdentityMatrix();
-    delete trMul;
+        bool result = trMul->isIdentityMatrix();
+        delete trMul;
 
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-template <>
-const std::string* ND4J_EXPORT NDArray::bufferAsT() const {
-    throw std::runtime_error("This method is NOT supposed to be used");
-}
-
-//////////////////////////////////////////////////////////////////////////
-template 
-const T* NDArray::bufferAsT() const {
-    // FIXME: do we REALLY want sync here?
-    // syncToHost();
-
-    return reinterpret_cast(buffer());
-}
-BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT const, * NDArray::bufferAsT() const, LIBND4J_TYPES);
-
-template 
-T* NDArray::bufferAsT() {
-    syncToHost();
-    return reinterpret_cast(buffer());
-}
-BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT, * NDArray::bufferAsT(), LIBND4J_TYPES);
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::subarray(IndicesList& idx) const {
-
-    const int idxSize = idx.size();
-    if (idxSize != this->rankOf())
-        throw std::runtime_error("NDArray::subarray: number of indices should match");
-
-    std::vector indexes(3 * idxSize);
-
-    // convert IndicesList to vector
-    for (int d = 0; d < idxSize; ++d) {
-
-        if (idx.at(d)->isAll()) {
-            indexes[3 * d]     = 0;                             // first
-            indexes[3 * d + 1] = 0;                             // last
-            indexes[3 * d + 2] = 1;                             // stride
-        }
-        else if (idx.at(d)->isPoint()) {
-            indexes[3 * d]     = idx.at(d)->getIndices().at(0); // first
-            indexes[3 * d + 1] = indexes[3 * d] + 1;            // last
-            indexes[3 * d + 2] = 1;                             // stride
-        }
-        else if (idx.at(d)->isInterval()) {
-            indexes[3 * d]     = idx.at(d)->getIndices().at(0); // first
-            indexes[3 * d + 1] = idx.at(d)->getIndices().size();// last
-            indexes[3 * d + 2] = idx.at(d)->stride();           // stride
-        }
-        else {
-            indexes[3 * d]     = idx.at(d)->getIndices().at(0); // first
-            indexes[3 * d + 1] = idx.at(d)->getIndices().at(1); // last
-            indexes[3 * d + 2] = idx.at(d)->getIndices().at(2); // stride
-        }
-    }
-    return NDArray((*this)(indexes, true, true));
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::subarray(const std::initializer_list& idx) const {
-
-    const int idxSize = idx.size();
-    if (idxSize != this->rankOf())
-        throw std::runtime_error("NDArray::subarray: number of indices should match the array rank");
-
-    std::vector indexes(3 * idxSize);
-
-    // convert NDIndex to vector
-    int d = 0;
-    for (const auto& item : idx) {
-
-        if (item->isAll()) {
-            indexes[3 * d]     = 0;                             // first
-            indexes[3 * d + 1] = 0;                             // last
-            indexes[3 * d + 2] = 1;                             // stride
-        }
-        else if (item->isPoint()) {
-            indexes[3 * d]     = item->getIndices().at(0);      // first
-            indexes[3 * d + 1] = indexes[3 * d] + 1;            // last
-            indexes[3 * d + 2] = 1;                             // stride
-        }
-        else if (item->isInterval()) {
-            indexes[3 * d]     = item->getIndices().at(0);      // first
-            indexes[3 * d + 1] = item->getIndices().size();     // last
-            indexes[3 * d + 2] = item->stride();                // stride
-        }
-        else {
-            indexes[3 * d]     = item->getIndices().at(0);      // first
-            indexes[3 * d + 1] = item->getIndices().at(1);      // last
-            indexes[3 * d + 2] = item->getIndices().at(2);      // stride
-        }
-        ++d;
+        return result;
     }
 
-    // release NDIndices
-    for (auto i: idx)
-        delete i;
-
-    return NDArray((*this)(indexes, true, true));
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::subarray(const Intervals& idx) const {
-
-    const int idxSize = idx.size();
-    if (idxSize != this->rankOf())
-        throw std::runtime_error("NDArray::subarray: number of indices should match the rank of array!");
-
-    std::vector indexes(2 * idxSize);
-
-    // convert Intervals to vector
-    for (int d = 0; d < idxSize; ++d) {
-
-        if (idx[d].empty()) {
-            indexes[2 * d]     = 0; // first
-            indexes[2 * d + 1] = 0; // last
-        }
-        else {
-            indexes[2 * d]     = idx[d][0]; // first
-            indexes[2 * d + 1] = idx[d][1]; // last
-        }
+//////////////////////////////////////////////////////////////////////////
+    template <>
+    const std::string* ND4J_EXPORT NDArray::bufferAsT() const {
+        throw std::runtime_error("This method is NOT supposed to be used");
     }
 
-    return NDArray((*this)(indexes, true));
-}
+//////////////////////////////////////////////////////////////////////////
+    template 
+    const T* NDArray::bufferAsT() const {
+        // FIXME: do we REALLY want sync here?
+        // syncToHost();
+
+        return reinterpret_cast(buffer());
+    }
+    BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT const, * NDArray::bufferAsT() const, LIBND4J_TYPES);
+
+    template 
+    T* NDArray::bufferAsT() {
+        syncToHost();
+        return reinterpret_cast(buffer());
+    }
+    BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT, * NDArray::bufferAsT(), LIBND4J_TYPES);
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::subarray(IndicesList& idx) const {
+
+        const int idxSize = idx.size();
+        if (idxSize != this->rankOf())
+            throw std::runtime_error("NDArray::subarray: number of indices should match");
+
+        std::vector indexes(3 * idxSize);
+
+        // convert IndicesList to vector
+        for (int d = 0; d < idxSize; ++d) {
+
+            if (idx.at(d)->isAll()) {
+                indexes[3 * d]     = 0;                             // first
+                indexes[3 * d + 1] = 0;                             // last
+                indexes[3 * d + 2] = 1;                             // stride
+            }
+            else if (idx.at(d)->isPoint()) {
+                indexes[3 * d]     = idx.at(d)->getIndices().at(0); // first
+                indexes[3 * d + 1] = indexes[3 * d] + 1;            // last
+                indexes[3 * d + 2] = 1;                             // stride
+            }
+            else if (idx.at(d)->isInterval()) {
+                indexes[3 * d]     = idx.at(d)->getIndices().at(0); // first
+                indexes[3 * d + 1] = idx.at(d)->getIndices().size();// last
+                indexes[3 * d + 2] = idx.at(d)->stride();           // stride
+            }
+            else {
+                indexes[3 * d]     = idx.at(d)->getIndices().at(0); // first
+                indexes[3 * d + 1] = idx.at(d)->getIndices().at(1); // last
+                indexes[3 * d + 2] = idx.at(d)->getIndices().at(2); // stride
+            }
+        }
+        return NDArray((*this)(indexes, true, true));
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::subarray(const std::initializer_list& idx) const {
+
+        const int idxSize = idx.size();
+        if (idxSize != this->rankOf())
+            throw std::runtime_error("NDArray::subarray: number of indices should match the array rank");
+
+        std::vector indexes(3 * idxSize);
+
+        // convert NDIndex to vector
+        int d = 0;
+        for (const auto& item : idx) {
+
+            if (item->isAll()) {
+                indexes[3 * d]     = 0;                             // first
+                indexes[3 * d + 1] = 0;                             // last
+                indexes[3 * d + 2] = 1;                             // stride
+            }
+            else if (item->isPoint()) {
+                indexes[3 * d]     = item->getIndices().at(0);      // first
+                indexes[3 * d + 1] = indexes[3 * d] + 1;            // last
+                indexes[3 * d + 2] = 1;                             // stride
+            }
+            else if (item->isInterval()) {
+                indexes[3 * d]     = item->getIndices().at(0);      // first
+                indexes[3 * d + 1] = item->getIndices().size();     // last
+                indexes[3 * d + 2] = item->stride();                // stride
+            }
+            else {
+                indexes[3 * d]     = item->getIndices().at(0);      // first
+                indexes[3 * d + 1] = item->getIndices().at(1);      // last
+                indexes[3 * d + 2] = item->getIndices().at(2);      // stride
+            }
+            ++d;
+        }
+
+        // release NDIndices
+        for (auto i: idx)
+            delete i;
+
+        return NDArray((*this)(indexes, true, true));
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::subarray(const Intervals& idx) const {
+
+        const int idxSize = idx.size();
+        if (idxSize != this->rankOf())
+            throw std::runtime_error("NDArray::subarray: number of indices should match the rank of array!");
+
+        std::vector indexes(2 * idxSize);
+
+        // convert Intervals to vector
+        for (int d = 0; d < idxSize; ++d) {
+
+            if (idx[d].empty()) {
+                indexes[2 * d]     = 0; // first
+                indexes[2 * d + 1] = 0; // last
+            }
+            else {
+                indexes[2 * d]     = idx[d][0]; // first
+                indexes[2 * d + 1] = idx[d][1]; // last
+            }
+        }
+
+        return NDArray((*this)(indexes, true));
+    }
 
 //////////////////////////////////////////////////////////////////////////
-template 
-NDArray NDArray::asT() const{
+    template 
+    NDArray NDArray::asT() const{
 
-    auto result = isScalar() ? NDArray('c', {}, std::vector{0.}, DataTypeUtils::fromT(), this->getContext()) : NDArray(ordering(), getShapeAsVector(), DataTypeUtils::fromT(), this->getContext());
+        auto result = isScalar() ? NDArray('c', {}, std::vector{0.}, DataTypeUtils::fromT(), this->getContext()) : NDArray(ordering(), getShapeAsVector(), DataTypeUtils::fromT(), this->getContext());
 
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execTransformAny(getContext(), transform::AnyOps::Assign, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&result}, {this});
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execTransformAny(getContext(), transform::AnyOps::Assign, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&result}, {this});
 
-    return result;
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArray::asT, () const, LIBND4J_TYPES);
+        return result;
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArray::asT, () const, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
-template 
-NDArray NDArray::asS() const {
+    template 
+    NDArray NDArray::asS() const {
 
-    if (!isS())
-        throw std::runtime_error("NDArray::asS: you can use this method only for String array!");
+        if (!isS())
+            throw std::runtime_error("NDArray::asS: you can use this method only for String array!");
 
-    auto dtype = DataTypeUtils::fromT();
+        auto dtype = DataTypeUtils::fromT();
 
-    if (!(DataTypeUtils::isS(dtype)))
-        throw std::invalid_argument("NDArray::asS: invalid DataType used");
+        if (!(DataTypeUtils::isS(dtype)))
+            throw std::invalid_argument("NDArray::asS: invalid DataType used");
 
-    if (dtype == dataType()) {
+        if (dtype == dataType()) {
+
+            Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
+            const auto nInputoffsets = bufferAsT();
+            std::shared_ptr pBuffer = std::make_shared(offsetsLength + nInputoffsets[lengthOf()], dtype, getContext()->getWorkspace(), true);
+
+            NDArray res(pBuffer, ShapeDescriptor(dtype, ordering(), getShapeAsVector()), getContext());
+            res.setAttached(getContext()->getWorkspace() != nullptr);
+
+            preparePrimaryUse({ &res }, { this });
+            memcpy(res.bufferAsT(), nInputoffsets, offsetsLength);
+            auto data = res.bufferAsT() + offsetsLength;
+            const auto inData = bufferAsT() + offsetsLength;
+            memcpy(data, inData, nInputoffsets[lengthOf()]);
+
+            registerPrimaryUse({ &res }, { this });
+            return res;
+        }
 
         Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
+
+        std::vector offsets(lengthOf() + 1);
+
         const auto nInputoffsets = bufferAsT();
-        std::shared_ptr pBuffer = std::make_shared(offsetsLength + nInputoffsets[lengthOf()], dtype, getContext()->getWorkspace(), true);
+
+        Nd4jLong start = 0, stop = 0;
+        Nd4jLong dataLength = 0;
+
+        auto data = bufferAsT() + offsetsLength;
+        for (Nd4jLong e = 0; e < lengthOf(); e++) {
+            offsets[e] = dataLength;
+            start = nInputoffsets[e];
+            stop = nInputoffsets[e + 1];
+            if (dataType() == DataType::UTF8) {
+                dataLength +=  (dtype == DataType::UTF16) ? unicode::offsetUtf8StringInUtf16(data + start, stop)
+                                                          : unicode::offsetUtf8StringInUtf32(data + start, stop);
+            }
+            else if (dataType() == DataType::UTF16) {
+                dataLength += (dtype == DataType::UTF32) ? unicode::offsetUtf16StringInUtf32(data + start, (stop / sizeof(char16_t)) )
+                                                         : unicode::offsetUtf16StringInUtf8(data + start, (stop / sizeof(char16_t)));
+            }
+            else {
+                dataLength += (dtype == DataType::UTF16) ? unicode::offsetUtf32StringInUtf16(data + start, (stop / sizeof(char32_t)))
+                                                         : unicode::offsetUtf32StringInUtf8(data + start, (stop / sizeof(char32_t)));
+            }
+        }
+        offsets[lengthOf()] = dataLength;
+
+        std::shared_ptr pBuffer = std::make_shared(offsetsLength + dataLength, dtype, getContext()->getWorkspace(), true);
 
         NDArray res(pBuffer, ShapeDescriptor(dtype, ordering(), getShapeAsVector()), getContext());
         res.setAttached(getContext()->getWorkspace() != nullptr);
 
         preparePrimaryUse({ &res }, { this });
-        memcpy(res.bufferAsT(), nInputoffsets, offsetsLength);
-        auto data = res.bufferAsT() + offsetsLength;
+
+        memcpy(res.bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
+
+        auto outData = res.bufferAsT() + offsetsLength;
         const auto inData = bufferAsT() + offsetsLength;
-        memcpy(data, inData, nInputoffsets[lengthOf()]);
 
-        registerPrimaryUse({ &res }, { this });
-        return res;
-    }
-
-    Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
-
-    std::vector offsets(lengthOf() + 1);
-
-    const auto nInputoffsets = bufferAsT();
-
-    Nd4jLong start = 0, stop = 0;
-    Nd4jLong dataLength = 0;
-
-    auto data = bufferAsT() + offsetsLength;
-    for (Nd4jLong e = 0; e < lengthOf(); e++) {
-        offsets[e] = dataLength;
-        start = nInputoffsets[e];
-        stop = nInputoffsets[e + 1];
-        if (dataType() == DataType::UTF8) {
-            dataLength +=  (dtype == DataType::UTF16) ? unicode::offsetUtf8StringInUtf16(data + start, stop)
-                        : unicode::offsetUtf8StringInUtf32(data + start, stop);
-        }
-        else if (dataType() == DataType::UTF16) {
-            dataLength += (dtype == DataType::UTF32) ? unicode::offsetUtf16StringInUtf32(data + start, (stop / sizeof(char16_t)) )
-                        : unicode::offsetUtf16StringInUtf8(data + start, (stop / sizeof(char16_t)));
-        }
-        else {
-            dataLength += (dtype == DataType::UTF16) ? unicode::offsetUtf32StringInUtf16(data + start, (stop / sizeof(char32_t)))
-                        : unicode::offsetUtf32StringInUtf8(data + start, (stop / sizeof(char32_t)));
-        }
-    }
-    offsets[lengthOf()] = dataLength;
-
-    std::shared_ptr pBuffer = std::make_shared(offsetsLength + dataLength, dtype, getContext()->getWorkspace(), true);
-
-    NDArray res(pBuffer, ShapeDescriptor(dtype, ordering(), getShapeAsVector()), getContext());
-    res.setAttached(getContext()->getWorkspace() != nullptr);
-
-    preparePrimaryUse({ &res }, { this });
-
-    memcpy(res.bufferAsT(), offsets.data(), offsets.size() * sizeof(Nd4jLong));
-
-    auto outData = res.bufferAsT() + offsetsLength;
-    const auto inData = bufferAsT() + offsetsLength;
-
-    auto func = PRAGMA_THREADS_FOR{
-        for (int e = start; e < stop; e++) {
-           auto cdata = outData + offsets[e];
-           auto end = nInputoffsets[e + 1];
-           auto idata = inData + nInputoffsets[e];
-           if (dtype == DataType::UTF16) {
-               if (dataType() == DataType::UTF8) {
-                   unicode::utf8to16(idata, outData, end);
-               }
-               else {
-                   unicode::utf32to16(idata, outData, (end / sizeof(char32_t)));
-               }
-           }
-           else if (dtype == DataType::UTF32) {
-               if (dataType() == DataType::UTF8) {
-                   unicode::utf8to32(idata, cdata, end);
-               }
-               else {
-                   unicode::utf16to32(idata, outData, (end / sizeof(char16_t)));
-               }
-           }
-           else {
-               if (dataType() == DataType::UTF16) {
-                   unicode::utf16to8(idata, outData, (end / sizeof(char16_t)));
-               }
-               else {
-                   unicode::utf32to8(idata, outData, (end / sizeof(char32_t)));
-               }
-           }
-        }
-    };
-
-    samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
-
-    registerPrimaryUse({ &res }, { this });
-
-    return res;
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArray::asS, () const, LIBND4J_STRINGTYPES);
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::asT(DataType dtype) const {
-
-    if (isS() && !DataTypeUtils::isS(dtype))
-        throw std::runtime_error("NDArray::asT: you can't use this method on String array with not string DataType!");
-
-    if (!isS() && DataTypeUtils::isS(dtype))
-        throw std::runtime_error("NDArray::asT: you can't use this method on not String array with string DataType!");
-
-    if (isS()){
-        BUILD_SINGLE_SELECTOR(dtype, return asS, (), LIBND4J_STRINGTYPES);
-    } else {
-        BUILD_SINGLE_SELECTOR(dtype, return asT, (), LIBND4J_TYPES);
-    }
-
-    return NDArray();
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::cast(DataType dtype) const {
-
-    if (isS() && !DataTypeUtils::isS(dtype))
-        throw std::runtime_error("NDArray::cast: you can't use this method on String array with not string DataType!");
-
-    if (!isS() && DataTypeUtils::isS(dtype))
-        throw std::runtime_error("NDArray::cast: you can't use this method on not String array with string DataType!");
-
-    return this->asT(dtype);
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::cast(NDArray& target, DataType dtype) {
-    if (isS())
-        throw std::runtime_error("NDArray::cast: you can't use this method on String array!");
-    // TODO: to be implemented properly
-    target.assign(this);
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::operator+=(const NDArray& other) {
-
-    if (isS())
-        throw std::runtime_error("NDArray::operator+=: you can't use this method on String array!");
-    if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType() && (this->dataType() != DataType::BOOL || other.dataType() != BOOL))
-        throw sd::datatype_exception::build("NDArray operator+=: Cannot add different types", this->dataType(), other.dataType());
-
-    if (this->lengthOf() != 1 && other.lengthOf() == 1) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else{
-        const Nd4jLong *bShape = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
-            throw std::invalid_argument("NDArray::operator+=: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-        if(shape::equalsTypesAndShapesSoft(shapeInfo(), bShape)) {
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Add(), other, *this, false);
-        }
-        else {
-            NDArray result(bShape, true, getContext());
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Add(), other, result, false);
-            *this = std::move(result);      // move assignment operator, zero cost copy
-        }
-    }
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::operator-=(const NDArray& other) {
-    if (isS())
-        throw std::runtime_error("NDArray::operator-=: you can't use this method on String array!");
-
-    if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType() && (this->dataType() != DataType::BOOL || other.dataType() != BOOL))
-        throw sd::datatype_exception::build("NDArray operator-=: Cannot subtract different types", this->dataType(), other.dataType());
-
-    if (lengthOf() != 1 && other.lengthOf() == 1) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else{
-        const Nd4jLong *bShape = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
-            throw std::invalid_argument("NDArray::operator-=: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-        if(shape::equalsTypesAndShapesSoft(shapeInfo(), bShape)) {
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Subtract(), other, *this, false);
-        }
-        else {
-            NDArray result(bShape, true, getContext());
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Subtract(), other, result, false);
-            *this = std::move(result);      // move assignment operator, zero cost copy
-        }
-    }
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::operator*=(const NDArray& other) {
-    if (isS())
-        throw std::runtime_error("NDArray::operator*=: you can't use this method on String array!");
-    if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType() && (this->dataType() != DataType::BOOL || other.dataType() != BOOL))
-        throw sd::datatype_exception::build("NDArray operator*=: Cannot multiply different types", this->dataType(), other.dataType());
-
-    if (lengthOf() != 1 && other.lengthOf() == 1) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else{
-        const Nd4jLong *bShape = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
-            throw std::invalid_argument("NDArray::operator*=: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-        if(shape::equalsTypesAndShapesSoft(_shapeInfo, bShape)) {
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Multiply(), other, *this, false);
-        }
-        else {
-            NDArray result(bShape, true, getContext());
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Multiply(), other, result, false);
-            *this = std::move(result);      // move assignment operator, zero cost copy
-        }
-    }
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::operator/=(const NDArray& other) {
-    if (isS() || other.isS())
-        throw std::runtime_error("NDArray::operator/=: you can't use this method on String array!");
-    if (other.isB())
-        throw std::runtime_error("NDArray::operator/=: you can't divide by bool array!");
-
-    if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType()) {
-        throw sd::datatype_exception::build("NDArray operator/=: Cannot divide different types", this->dataType(), other.dataType());
-    }
-
-    if (lengthOf() != 1 && other.lengthOf() == 1) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-        NDArray::prepareSpecialUse({this}, {this, &other});
-        NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({this}, {this, &other});
-    }
-    else{
-        const Nd4jLong *bShape = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
-            throw std::invalid_argument("NDArray::operator/=: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-        if(shape::equalsTypesAndShapesSoft(_shapeInfo, bShape)) {
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Divide(), other, *this, false);
-        }
-        else {
-            NDArray result(bShape, true, getContext());
-            this->applyTrueBroadcast(sd::BroadcastOpsTuple::Divide(), other, result, false);
-            *this = std::move(result);      // move assignment operator, zero cost copy
-        }
-    }
-}
-
-////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::operator+=(const T value) {
-    if (isS())
-        throw std::runtime_error("NDArray::operator+=: you can't use this method on String array!");
-
-    auto other = NDArrayFactory::create(this->dataType(), value, getContext());
-
-    NDArray::prepareSpecialUse({this}, {this, &other});
-    NativeOpExecutioner::execScalar(getContext(), sd::scalar::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({this}, {this, &other});
-}
-template ND4J_EXPORT void NDArray::operator+=(const double value);
-template ND4J_EXPORT void NDArray::operator+=(const float value);
-template ND4J_EXPORT void NDArray::operator+=(const float16 value);
-template ND4J_EXPORT void NDArray::operator+=(const bfloat16 value);
-template ND4J_EXPORT void NDArray::operator+=(const Nd4jLong value);
-template ND4J_EXPORT void NDArray::operator+=(const int value);
-template ND4J_EXPORT void NDArray::operator+=(const bool value);
-
-////////////////////////////////////////////////////////////////////////
-template
-void NDArray::operator-=(const T value) {
-    if (isS())
-        throw std::runtime_error("NDArray::operator-=: you can't use this method on String array!");
-
-    auto other = NDArrayFactory::create(dataType(), value, getContext());
-
-    NDArray::prepareSpecialUse({this}, {this, &other});
-    NativeOpExecutioner::execScalar(getContext(), sd::scalar::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({this}, {this, &other});
-}
-template ND4J_EXPORT void NDArray::operator-=(const double value);
-template ND4J_EXPORT void NDArray::operator-=(const float value);
-template ND4J_EXPORT void NDArray::operator-=(const float16 value);
-template ND4J_EXPORT void NDArray::operator-=(const bfloat16 value);
-template ND4J_EXPORT void NDArray::operator-=(const Nd4jLong value);
-template ND4J_EXPORT void NDArray::operator-=(const int value);
-template ND4J_EXPORT void NDArray::operator-=(const bool value);
-
-////////////////////////////////////////////////////////////////////////
-template
-void NDArray::operator*=(const T scalar) {
-    if (isS())
-        throw std::runtime_error("NDArray::operator*=: you can't use this method on String array!");
-
-    auto other = NDArrayFactory::create(this->dataType(), scalar, getContext());
-    NDArray::prepareSpecialUse({this}, {this, &other});
-    NativeOpExecutioner::execScalar(getContext(), sd::scalar::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({this}, {this, &other});
-}
-template ND4J_EXPORT void NDArray::operator*=(const double scalar);
-template ND4J_EXPORT void NDArray::operator*=(const float scalar);
-template ND4J_EXPORT void NDArray::operator*=(const float16 scalar);
-template ND4J_EXPORT void NDArray::operator*=(const bfloat16 scalar);
-template ND4J_EXPORT void NDArray::operator*=(const Nd4jLong scalar);
-template ND4J_EXPORT void NDArray::operator*=(const int scalar);
-template ND4J_EXPORT void NDArray::operator*=(const int16_t scalar);
-template ND4J_EXPORT void NDArray::operator*=(const int8_t scalar);
-template ND4J_EXPORT void NDArray::operator*=(const uint8_t scalar);
-template ND4J_EXPORT void NDArray::operator*=(const bool scalar);
-
-////////////////////////////////////////////////////////////////////////
-template
-void NDArray::operator/=(const T scalar) {
-    if (isS())
-        throw std::runtime_error("NDArray::operator/=: you can't use this method on String array!");
-
-    auto other = NDArrayFactory::create(this->dataType(), scalar, getContext());
-    NDArray::prepareSpecialUse({this}, {this, &other});
-    NativeOpExecutioner::execScalar(getContext(), sd::scalar::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({this}, {this, &other});
-}
-template ND4J_EXPORT void NDArray::operator/=(const double scalar);
-template ND4J_EXPORT void NDArray::operator/=(const float scalar);
-template ND4J_EXPORT void NDArray::operator/=(const float16 scalar);
-template ND4J_EXPORT void NDArray::operator/=(const bfloat16 scalar);
-template ND4J_EXPORT void NDArray::operator/=(const Nd4jLong scalar);
-template ND4J_EXPORT void NDArray::operator/=(const int scalar);
-template ND4J_EXPORT void NDArray::operator/=(const int16_t scalar);
-template ND4J_EXPORT void NDArray::operator/=(const int8_t scalar);
-template ND4J_EXPORT void NDArray::operator/=(const uint8_t scalar);
-template ND4J_EXPORT void NDArray::operator/=(const bool scalar);
-
-////////////////////////////////////////////////////////////////////////
-// negative operator, it makes all array elements = -elements
-NDArray NDArray::operator-() const & {
-    if (isS())
-        throw std::runtime_error("NDArray::negative-: you can't use this method on String array!");
-
-    NDArray result(shapeInfo(), false, getContext());
-
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execTransformSame(getContext(), sd::transform::Neg, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&result}, {this});
-
-    return result;
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::operator-() && {
-    if (isS())
-        throw std::runtime_error("NDArray::negative-: you can't use this method on String array!");
-
-    NDArray::prepareSpecialUse({this}, {this});
-    NativeOpExecutioner::execTransformSame(getContext(), sd::transform::Neg, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {this});
-
-    return std::move(*this);
-}
-
-////////////////////////////////////////////////////////////////////////
-// mathematical multiplication of two arrays
-NDArray mmul(const NDArray& left, const NDArray& right) {
-    if (left.isS() || right.isS())
-        throw std::runtime_error("mmul friend function: you can't use this function on String array!");
-    auto ptr = MmulHelper::mmul(const_cast(&left), const_cast(&right), nullptr, 1., 0.);
-    NDArray result(std::move(*ptr));
-    delete ptr;
-    return result;
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::tileToShape(const std::vector& shape, NDArray& target) {
-    if(&target != this) {
-        this->tile(target);
-        return;
-    }
-
-    std::vector thisShape(rankOf());
-    for(int i = 0; i < rankOf(); ++i)
-        thisShape[i] = sizeAt(i);
-
-    if(!ShapeUtils::areShapesBroadcastable(shape, thisShape))
-        throw std::runtime_error("NDArray::tileToShape method: the shape of this array and input shape are not suitable for broadcast operation !");
-
-    const int newRank = shape.size();
-    std::vector repeats(newRank);
-
-    for(int i = 1; i <= newRank; ++i) {
-        if(i > rankOf())
-            repeats[newRank-i] = shape[newRank - i];
-        else
-            repeats[newRank-i] = shape[newRank - i] / thisShape[rankOf() - i];
-    }
-
-    tilei(repeats);
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::tileToShape(const std::initializer_list& shape, NDArray& target) {
-    tileToShape(std::vector(shape), target);
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::tileToShape(const Nd4jLong* shapeInfo) {
-
-    NDArray result(const_cast(shapeInfo), false, getContext());
-    tile(result);
-    return result;
-}
-
-////////////////////////////////////////////////////////////////////////
-double NDArray::getTrace() const {
-    if (isS())
-        throw std::runtime_error("NDArray::getTrace: you can't use this method on String array!");
-
-    int  rank    = rankOf();
-    auto shape   = shapeOf();
-    int  minDim  = 100000000;
-
-    Nd4jLong indices[MAX_RANK];
-    for(int j = 0; j < rank; ++j)
-        indices[j] = 1;
-
-    auto offset = shape::getOffset(shapeInfo(), indices);
-
-    for(int i = 0; i < rank; ++i)
-        if(minDim > shape[i])
-            minDim = shape[i];
-
-    double sum = 0.;
-
-    for(int i = 0; i < minDim; ++i)
-        sum += e(i * offset);
-
-    return sum;
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::quantize(const NDArray& array) {
-
-    if(!array.isR())
-        throw std::invalid_argument("NDArray::quantize: type of array should be from real space!");
-
-    auto ws = array.getContext()->getWorkspace();
-
-    Nd4jLong* shapeInfo = ShapeBuilders::copyShapeInfo(array.shapeInfo(), true, ws);
-    ArrayOptions::setPropertyBit(shapeInfo, ARRAY_QUANTIZED);
-
-    std::shared_ptr buffer = std::make_shared(TypeCast::estimateQuantizedSize(array.lengthOf()), ArrayOptions::dataType(shapeInfo), ws);
-
-    NDArray result(buffer, ShapeDescriptor(shapeInfo), array.getContext());
-
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, const NDArray& other, NDArray& target, const bool checkTargetShape, ExtraArguments *extraArgs) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::applyTrueBroadcast: you can't use this method on String array!");
-
-    if(((op.s == scalar::Divide || op.s == scalar::FloorDiv || op.s == scalar::FloorMod) && other.isB()) || (op.s == scalar::ReverseDivide && this->isB()))
-        throw std::runtime_error("NDArray::applyTrueBroadcast method: you can't divide by bool array !");
-
-    if (isEmpty() || other.isEmpty())
-        return;
-
-    // if (lengthOf() == 1) {
-    //     target.assign(this);
-    //     target.applyPairwiseTransform(op.p, other, extraArgs);
-    //     return;
-    // }
-    // if (other.lengthOf() == 1) {
-    //     const_cast(this)->applyScalarArr(op.s, other, target, extraArgs);
-    //     return;
-    // }
-
-    if(checkTargetShape) {
-        const Nd4jLong* newShapeInfo = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of target array must be equal to max->rankOf)()
-            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-        if(!shape::equalsTypesAndShapesSoft(target.shapeInfo(), newShapeInfo))
-            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shape or type of target array is wrong !");
-    }
-
-    Nd4jLong const* xShapeInfoH = shapeInfo();
-    Nd4jLong const* yShapeInfoH = other.shapeInfo();
-    Nd4jLong const* xShapeInfoD = specialShapeInfo();
-    Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
-
-    if(!isSameShape(target)) {
-        auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace());
-        xShapeInfoH = xPack.primary();
-        xShapeInfoD = xPack.special();
-    }
-    if(!other.isSameShape(target)) {
-        auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace());
-        yShapeInfoH = yPack.primary();
-        yShapeInfoD = yPack.special();
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execBroadcast(getContext(), op.b, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    registerSpecialUse({&target}, {this, &other});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyTrueBroadcast(sd::BroadcastBoolOpsTuple op, const NDArray& other, NDArray& target, const bool checkTargetShape, ExtraArguments *extraArgs) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::applyTrueBroadcast bool: you can't use this method on String array!");
-
-    if (isEmpty() || other.isEmpty())
-        return;
-
-    // if (lengthOf() == 1) {
-    //     NDArray temp(target._shapeInfo, dataType(), false, getContext());
-    //     temp.assign(this);
-    //     temp.applyPairwiseTransform(op.p, other, target,  extraArgs);
-    //     return;
-    // }
-    // if (other.lengthOf() == 1) {
-    //     this->applyScalarArr(op.s, other, target, extraArgs);
-    //     return;
-    // }
-
-    if(checkTargetShape) {
-        const Nd4jLong* newShapeInfo = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of target array must be equal to max->rankOf)()
-            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-        if(!shape::equalsSoft(target._shapeInfo, newShapeInfo) || target.dataType() != DataType::BOOL)
-            throw std::runtime_error("NDArray::applyTrueBroadcast bool method: the shape or type of target array is wrong !");
-        if(dataType() != other.dataType())
-            throw std::invalid_argument("NDArray::applyTrueBroadcast bool method: this and other arrays must have the same type !");
-    }
-
-    Nd4jLong const* xShapeInfoH = shapeInfo();
-    Nd4jLong const* yShapeInfoH = other.shapeInfo();
-    Nd4jLong const* xShapeInfoD = specialShapeInfo();
-    Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
-
-    if(!isSameShape(target)) {
-        auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace());
-        xShapeInfoH = xPack.primary();
-        xShapeInfoD = xPack.special();
-    }
-    if(!other.isSameShape(target)) {
-        auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace());
-        yShapeInfoH = yPack.primary();
-        yShapeInfoD = yPack.special();
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execBroadcastBool(getContext(), op.b, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr);
-    registerSpecialUse({&target}, {this, &other});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyTrueBroadcast(sd::BroadcastIntOpsTuple op, const NDArray& other, NDArray& target, const bool checkTargetShape, ExtraArguments *extraArgs) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::applyTrueBroadcast bool: you can't use this method on String array!");
-
-    if (isEmpty() || other.isEmpty())
-        return;
-
-    // if (lengthOf() == 1) {
-    //     NDArray temp(target._shapeInfo, dataType(), false, getContext());
-    //     temp.assign(this);
-    //     temp.applyPairwiseTransform(op.p, other, target,  extraArgs);
-    //     return;
-    // }
-    // if (other.lengthOf() == 1) {
-    //     this->applyScalarArr(op.s, other, target, extraArgs);
-    //     return;
-    // }
-
-    if(checkTargetShape) {
-        const Nd4jLong* newShapeInfo = nullptr;
-        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, false, newShapeInfo, getContext()->getWorkspace()))          // the rank of target array must be equal to max->rankOf)()
-            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-        if(!shape::equalsSoft(target._shapeInfo, newShapeInfo) || target.dataType() != this->dataType())
-            throw std::runtime_error("NDArray::applyTrueBroadcast int method: the shape or type of target array is wrong !");
-        if(dataType() != other.dataType())
-            throw std::invalid_argument("NDArray::applyTrueBroadcast int method: this and other arrays must have the same type !");
-    }
-
-    Nd4jLong const* xShapeInfoH = shapeInfo();
-    Nd4jLong const* yShapeInfoH = other.shapeInfo();
-    Nd4jLong const* xShapeInfoD = specialShapeInfo();
-    Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
-
-    if(!isSameShape(target)) {
-        auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace());
-        xShapeInfoH = reinterpret_cast(xPack.primary());
-        xShapeInfoD = reinterpret_cast(xPack.special());
-    }
-    if(!other.isSameShape(target)) {
-        auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace());
-        yShapeInfoH = reinterpret_cast(yPack.primary());
-        yShapeInfoD = reinterpret_cast(yPack.special());
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execBroadcastInt(getContext(), op.b, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    registerSpecialUse({&target}, {this, &other});
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, const NDArray& other, ExtraArguments *extraArgs) const & {
-    if (isEmpty() || other.isEmpty()) {
-        if (isEmpty())
-            return NDArray(*this);
-        else
-            return NDArray(other);
-    }
-
-    const Nd4jLong* newShapeInfo = nullptr;
-    if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
-        throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-    NDArray result(newShapeInfo, true, getContext());
-
-    this->applyTrueBroadcast(op, other, result, false, extraArgs);
-
-    return result;
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, NDArray&& other, ExtraArguments *extraArgs) const & {
-    if (isEmpty() || other.isEmpty()) {
-        if (isEmpty())
-            return NDArray(*this);
-        else
-            return NDArray(other);
-    }
-
-    const Nd4jLong* newShapeInfo = nullptr;
-    if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
-        throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-    if(!shape::shapeEquals(newShapeInfo, other.shapeInfo())) {
-
-        NDArray result(newShapeInfo, true, getContext());
-        this->applyTrueBroadcast(op, other, result, false, extraArgs);
-        return std::move(result);
-    }
-
-    this->applyTrueBroadcast(op, other, other, false, extraArgs);
-    return std::move(other);
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, const NDArray& other, ExtraArguments *extraArgs) && {
-    if (isEmpty() || other.isEmpty()) {
-        if (isEmpty())
-            return NDArray(*this);
-        else
-            return NDArray(other);
-    }
-
-    const Nd4jLong* newShapeInfo = nullptr;
-    if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
-        throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-    if(!shape::shapeEquals(newShapeInfo, shapeInfo())) {
-
-        NDArray result(newShapeInfo, true, getContext());
-        this->applyTrueBroadcast(op, other, result, false, extraArgs);
-        return std::move(result);
-    }
-
-    this->applyTrueBroadcast(op, other, *this, false, extraArgs);
-    return std::move(*this);
-}
-
-//////////////////////////////////////////////////////////////////////////
-NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, NDArray&& other, ExtraArguments *extraArgs) && {
-    if (isEmpty() || other.isEmpty()) {
-        if (isEmpty())
-            return NDArray(*this);
-        else
-            return NDArray(other);
-    }
-
-    const Nd4jLong* newShapeInfo = nullptr;
-    if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
-        throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
-
-    const bool thisMove  = shape::shapeEquals(newShapeInfo, shapeInfo());
-    const bool otherMove = shape::shapeEquals(newShapeInfo, other.shapeInfo());
-
-    if(!thisMove && !otherMove) {
-
-        NDArray result(newShapeInfo, true, getContext());
-        this->applyTrueBroadcast(op, other, result, false, extraArgs);
-        return std::move(result);
-    }
-
-    if(thisMove) {
-        this->applyTrueBroadcast(op, other, *this, false, extraArgs);
-        return std::move(*this);
-    }
-
-    // otherMove
-    this->applyTrueBroadcast(op, other, other, false, extraArgs);
-    return std::move(other);
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyBroadcast(sd::broadcast::Ops op, const std::vector& dimensions, const NDArray& other, NDArray& target, ExtraArguments* extraArgs) {
-
-    if (dimensions.size() == 0)
-        return;
-
-    if (isS())
-        throw std::runtime_error("NDArray::applyBroadcast: you can't use this method on String array!");
-    if(((op == broadcast::Divide || op == broadcast::FloorDiv || op == broadcast::FloorMod) && other.isB()) || (op == broadcast::ReverseDivide && this->isB()))
-        throw std::runtime_error("NDArray::applyBroadcast: you can't divide by array!");
-    if(isEmpty() || other.isEmpty()) {
-        if(!target.isEmpty())
-            throw std::runtime_error("NDArray::applyBroadcast method: when some of input arrays (or both) is empty, target array must be empty as well !");
-        return;
-    }
-
-    // if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-    //     NDArray::prepareSpecialUse({&target}, {this, &other});
-    //     NativeOpExecutioner::execPairwiseTransform(getContext(), fromBroadcastToPairwise(op), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.special(), nullptr);
-    //     NDArray::registerSpecialUse({&target}, {this, &other});
-    //     return;
-    // }
-
-    if(target.dataType() != DataTypeUtils::pickPairwiseResultType(shapeInfo(), other.shapeInfo()))
-        throw std::invalid_argument("NDArray::applyBroadcast method: wrong type of target array !");
-    if(!target.isSameShape(this) && !target.isSameShape(other))
-        throw std::invalid_argument("NDArray::applyBroadcast method: one of of two input arrays (this or other) should has the same shape as target array!");
-
-    std::vector copy(dimensions);
-
-    if (dimensions.size() > 1)
-        std::sort(copy.begin(), copy.end());
-
-    Nd4jLong const* xShapeInfoH = shapeInfo();
-    Nd4jLong const* yShapeInfoH = other.shapeInfo();
-    Nd4jLong const* xShapeInfoD = specialShapeInfo();
-    Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
-
-    if(!isSameShape(target)) {
-        auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace(), copy);
-        xShapeInfoH = reinterpret_cast(xPack.primary());
-        xShapeInfoD = reinterpret_cast(xPack.special());
-    }
-    if(!other.isSameShape(target)) {
-        auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace(), copy);
-        yShapeInfoH = reinterpret_cast(yPack.primary());
-        yShapeInfoD = reinterpret_cast(yPack.special());
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execBroadcast(getContext(), op, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    registerSpecialUse({&target}, {this, &other});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyBroadcast(sd::broadcast::BoolOps op, const std::vector& dimensions, const NDArray& other, NDArray& target, ExtraArguments* extraArgs) {
-
-    if (dimensions.size() == 0)
-        return;
-
-    if (isS())
-        throw std::runtime_error("NDArray::applyBroadcast BoolOps: you can't use this method on String array!");
-    if(isEmpty() || other.isEmpty()) {
-        if(!target.isEmpty())
-            throw std::runtime_error("NDArray::applyBroadcast BoolOps: when some of input arrays (or both) is empty, target array must be empty as well !");
-        return;
-    }
-
-    // if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-    //     NDArray::prepareSpecialUse({&target}, {this, &other});
-    //     NativeOpExecutioner::execPairwiseBoolTransform(getContext(), fromBroadcastToPairwiseBool(op), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.special(), nullptr);
-    //     NDArray::registerSpecialUse({&target}, {this, &other});
-    //     return;
-    // }
-
-    if(target.dataType() != DataType::BOOL)
-        throw std::invalid_argument("NDArray::applyBroadcast bool method: type of target array must be BOOL!");
-    if(!target.isSameShape(this) && !target.isSameShape(other))
-        throw std::invalid_argument("NDArray::applyBroadcast bool method: one of of two input arrays (this or other) should has the same shape as target array!");
-    if(_dataType != other._dataType)
-        throw std::invalid_argument("NDArray::applyBroadcast bool method: this and other arrays must have the same type !");
-
-    std::vector copy(dimensions);
-
-    if (dimensions.size() > 1)
-        std::sort(copy.begin(), copy.end());
-
-    Nd4jLong const* xShapeInfoH = shapeInfo();
-    Nd4jLong const* yShapeInfoH = other.shapeInfo();
-    Nd4jLong const* xShapeInfoD = specialShapeInfo();
-    Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
-
-    if(!isSameShape(target)) {
-        auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace(), copy);
-        xShapeInfoH = reinterpret_cast(xPack.primary());
-        xShapeInfoD = reinterpret_cast(xPack.special());
-    }
-    if(!other.isSameShape(target)) {
-        auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace(), copy);
-        yShapeInfoH = reinterpret_cast(yPack.primary());
-        yShapeInfoD = reinterpret_cast(yPack.special());
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execBroadcastBool(getContext(), op, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr);
-    registerSpecialUse({&target}, {this, &other});
-}
-
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyBroadcast(sd::broadcast::IntOps op, const std::vector& dimensions, const NDArray& other, NDArray& target, ExtraArguments* extraArgs) {
-
-    if (dimensions.empty())
-        return;
-
-    if (!isZ())
-        throw std::runtime_error("NDArray::applyBroadcast IntOps: you can't use this method on non-Integer array!");
-    if(isEmpty() || other.isEmpty()) {
-        if(!target.isEmpty())
-            throw std::runtime_error("NDArray::applyBroadcast IntOps: when some of input arrays (or both) is empty, target array must be empty as well !");
-        return;
-    }
-
-    // if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
-    //     NDArray::prepareSpecialUse({&target}, {this, &other});
-    //     NativeOpExecutioner::execPairwiseIntTransform(getContext(), fromBroadcastToPairwiseInt(op), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.special(), nullptr);
-    //     NDArray::registerSpecialUse({&target}, {this, &other});
-    //     return;
-    // }
-
-    if(target.dataType() != dataType())
-        throw std::invalid_argument("NDArray::applyBroadcast int method: type of target array must be the same as input!");
-    if(!target.isSameShape(this) && !target.isSameShape(other))
-        throw std::invalid_argument("NDArray::applyBroadcast int method: one of of two input arrays (this or other) should has the same shape as target array!");
-    if(_dataType != other._dataType)
-        throw std::invalid_argument("NDArray::applyBroadcast int method: this and other arrays must have the same type !");
-
-    std::vector copy(dimensions);
-
-    if (dimensions.size() > 1)
-        std::sort(copy.begin(), copy.end());
-
-    Nd4jLong const* xShapeInfoH = shapeInfo();
-    Nd4jLong const* yShapeInfoH = other.shapeInfo();
-    Nd4jLong const* xShapeInfoD = specialShapeInfo();
-    Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
-
-    if(!isSameShape(target)) {
-        auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace(), copy);
-        xShapeInfoH = reinterpret_cast(xPack.primary());
-        xShapeInfoD = reinterpret_cast(xPack.special());
-    }
-    if(!other.isSameShape(target)) {
-        auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace(), copy);
-        yShapeInfoH = reinterpret_cast(yPack.primary());
-        yShapeInfoD = reinterpret_cast(yPack.special());
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execBroadcastInt(getContext(), op, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    registerSpecialUse({&target}, {this, &other});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyBroadcast(sd::broadcast::Ops op, const std::initializer_list dimensions, const NDArray& tadArray, NDArray& target, ExtraArguments* extraArgs) {
-    std::vector vec(dimensions);
-    applyBroadcast(op, vec, tadArray, target, extraArgs);
-}
-
-////////////////////////////////////////////////////////////////////////
-void* NDArray::operator new(size_t i) {
-    if (sd::memory::MemoryRegistrator::getInstance().hasWorkspaceAttached()) {
-        sd::memory::Workspace* ws = sd::memory::MemoryRegistrator::getInstance().getWorkspace();
-        return ws->allocateBytes((Nd4jLong) i);
-    }
-    else {
-        auto p = malloc(i);
-        CHECK_ALLOC(p, "Failed to allocate new NDArray", i);
-        return p;
-    }
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::operator delete(void* p) {
-    if (!sd::memory::MemoryRegistrator::getInstance().hasWorkspaceAttached())
-        free(p);
-}
-
-////////////////////////////////////////////////////////////////////////
-template 
-std::vector NDArray::asVectorT() {
-
-    std::vector result(this->lengthOf());
-
-    PRAGMA_OMP_SIMD
-    for (int e = 0; e < this->lengthOf(); e++)
-        result[e] = this->e(e);
-
-    return result;
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT std::vector, NDArray::asVectorT(), LIBND4J_TYPES);
-
-//////////////////////////////////////////////////////////////////////////
-// set new order and shape in case of suitable array length
-bool NDArray::reshapei(const char order, const std::vector& cshape, const bool copyToNewBuff) {
-
-    // check firstly whether cshape is identical to shape of array, if yes then reshape is unnecessary
-    if(order == ordering() && shape::shapeEquals(rankOf(), shapeOf(), cshape.size(), cshape.data()))
-        return true;
-
-    const bool isOutShapeEmpty = std::find(cshape.begin(), cshape.end(), 0) != cshape.end();
-
-    if(isEmpty() && !isOutShapeEmpty)
-        throw std::invalid_argument("NDArray::reshapei: can't reshape empty array to non-empty !");
-    if(!isEmpty() && isOutShapeEmpty)
-        throw std::invalid_argument("NDArray::reshapei: can't reshape non-empty array to empty !");
-    if(isEmpty() && isOutShapeEmpty) {
-        Nd4jLong* shapeInfoNew = ShapeBuilders::emptyShapeInfo(dataType(), order, cshape, getContext()->getWorkspace());
-        setShapeInfo(shapeInfoNew);
-        RELEASE(shapeInfoNew, getContext()->getWorkspace());
-        return true;
-    }
-
-    std::vector shape(cshape);
-    int rank = shape.size();
-
-    // looking for negative in shape
-
-    int numberNegativesOnes = 0;
-
-    Nd4jLong* shape_ = shape.data();
-    for (int i = 0; i < (int) shape.size(); i++) {
-        if (shape[i] < 0) {
-            if (numberNegativesOnes >= 1)
-                throw std::runtime_error("NDArray::reshapei: only one dimension can be negative at once");
-
-            numberNegativesOnes++;
-
-            int shapeLength = 1;
-            for (int j = 0; j < (int) shape.size(); j++)
-                if (i != j)
-                    shapeLength *= shape_[j];
-
-            Nd4jLong realShape = sd::math::nd4j_abs(lengthOf() / shapeLength);
-            auto thisNewShape = new Nd4jLong[shape.size()];
-
-            for (int j = 0; j < (int) shape.size(); j++)
-                if (i != j)
-                    thisNewShape[j] = shape_[j];
-                else
-                    thisNewShape[j] = realShape;
-
-            shape_ = thisNewShape;
-        }
-    }
-
-    for (int e = 0; e < (int) shape.size(); e++)
-        shape[e] = shape_[e];
-
-    if (numberNegativesOnes > 0)
-        delete[] shape_;
-
-    Nd4jLong arrLength = 1;
-    for(const auto& item : shape)
-        arrLength *= item;
-
-    if(platformBuffer() == nullptr || arrLength != this->lengthOf()) {
-        this->printShapeInfo("Mismatched shape");
-        sd::Logger::printv("Shape requested: ", shape);
-        nd4j_debug("Requested length in reshape: %i; Existing length: %i;\n", arrLength, this->lengthOf());
-        throw std::runtime_error("NDArray::reshapei: bad input shape!");
-    }
-
-    Nd4jLong *shapeInfoNew;
-    ALLOCATE(shapeInfoNew, getContext()->getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);
-
-    bool canReshape = shape::reshapeC(shapeInfo(), order, shape.size(), shape.data(), shapeInfoNew);
-
-    if (canReshape) {
-        setShapeInfo(shapeInfoNew);
-    }
-    else {
-        NDArray temp(order, shape, dataType(), getContext());
-        if(copyToNewBuff)
-            this->applyTransform(transform::Assign, temp, nullptr);
-        *this = std::move(temp);
-    }
-
-    RELEASE(shapeInfoNew, getContext()->getWorkspace());
-
-    return canReshape;
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::nullify() {
-    if (isEmpty())
-        return;
-
-    if (isView() || ews() != 1)
-        assign(0);
-    else
-        _buffer->setToZeroBuffers();
-
-}
-
-////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::templatedSet(void *buffer, const Nd4jLong xOfsset, sd::DataType dtype, const void *value) {
-    BUILD_SINGLE_PARTIAL_SELECTOR(dtype, templatedSet< , T>(buffer, xOfsset, value), LIBND4J_TYPES);
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedSet, (void *buffer, const Nd4jLong xOfsset, sd::DataType dtype, const void *value), LIBND4J_TYPES);
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::applyPairwiseTransform(sd::pairwise::Ops op, const NDArray& other, NDArray& target, ExtraArguments *extraParams) const{
-    if (isS())
-        throw std::runtime_error("NDArray::applyPairwiseTransform: you can't use this method on String array!");
-    if (other.lengthOf() != target.lengthOf())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform method - lengths of arrays are mismatched");
-    if (target.dataType() != this->dataType() && target.dataType() != other.dataType())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform method - type of target array must be the same as type of this or other array !");
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execPairwiseTransform(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &other});
-
-    if (extraParams != nullptr)
-        synchronize("NDArray::applyPairwiseTransform");
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::applyPairwiseTransform(sd::pairwise::BoolOps op, const NDArray& other, NDArray& target, ExtraArguments *extraParams) const{
-    if (isS())
-        throw std::runtime_error("NDArray::applyPairwiseTransform BoolOps: you can't use this method on String array!");
-    if (other.lengthOf() != target.lengthOf())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform BoolOps method - lengths of arrays are mismatched");
-    if (!target.isB())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform BoolOps method - result must have bool type");
-    if (dataType() != other.dataType())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform BoolOps method - this and other arrays must have the same type !");
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execPairwiseBoolTransform(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &other});
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::applyPairwiseTransform(sd::pairwise::IntOps op, const NDArray& other, NDArray& target, ExtraArguments *extraParams) const{
-    if (isS())
-        throw std::runtime_error("NDArray::applyPairwiseTransform IntOps: you can't use this method on String array!");
-    if (other.lengthOf() != target.lengthOf())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform IntOps method - lengths of arrays are mismatched");
-    if (!target.isZ())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform IntOps method - result must have bool type");
-    if (dataType() != other.dataType())
-        throw std::invalid_argument("NDArray::applyPairwiseTransform IntOps method - this and other arrays must have the same type !");
-
-    NDArray::prepareSpecialUse({&target}, {this, &other});
-    NativeOpExecutioner::execPairwiseIntTransform(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &other});
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::applyPairwiseTransform(sd::pairwise::Ops op, const NDArray& other, ExtraArguments *extraParams) {
-    applyPairwiseTransform(op, other, *this, extraParams);
-}
-
-////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::templatedDoubleAssign(void *xBuffer, const Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const {
-    auto x = reinterpret_cast(xBuffer);
-    const auto y = reinterpret_cast(yBuffer);
-    x[xOffset] = static_cast(y[yOffset]);
-}
-BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedDoubleAssign, (void *xBuffer, const Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const, LIBND4J_TYPES, LIBND4J_TYPES);
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::varianceAlongDimension(sd::variance::Ops op, NDArray& target, const bool biasCorrected, const std::vector& dimensions) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::varianceAlongDimension: you can't use this method on String array!");
-
-    if (!target.isR())
-        throw std::runtime_error("NDArray::varianceAlongDimension: target array must have FLOAT type");
-
-    NDArray::prepareSpecialUse({&target}, {this});
-
-    if(rankOf() == dimensions.size() || dimensions.empty())
-        NativeOpExecutioner::execSummaryStatsScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), biasCorrected);
-    else {
-        std::vector copy(dimensions);
-        auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
-        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimensions);
-        NativeOpExecutioner::execSummaryStats(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), pDims, dimensions.size(), packX.platformShapeInfo(), packX.platformOffsets(), biasCorrected);
-        synchronize("NDArray::varianceAlongDimension");
-    }
-
-    NDArray::registerSpecialUse({&target}, {this});
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::varianceAlongDimension(sd::variance::Ops op, const bool biasCorrected, const std::vector& dimensions) const {
-    if (isS())
-        throw std::runtime_error("NDArray::varianceAlongDimension: you can't use this method on String array!");
-
-    std::vector copy(dimensions);
-    if (copy.size() > 1)
-        std::sort(copy.begin(), copy.end());
-
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataTypeUtils::pickFloatingType(dataType()), false, false, getContext()->getWorkspace());
-    NDArray result(newShape, true, getContext());
-
-    this->varianceAlongDimension(op, result, biasCorrected, dimensions);
-
-    return result;
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::varianceAlongDimension(sd::variance::Ops op, const bool biasCorrected, const std::initializer_list& dimensions) const {
-    return varianceAlongDimension(op, biasCorrected, std::vector(dimensions));
-}
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::varianceAlongDimension(sd::variance::Ops op, NDArray &target, const bool biasCorrected, const std::initializer_list& dimensions) const {
-    varianceAlongDimension(op, target, biasCorrected, std::vector(dimensions));
-}
-
-////////////////////////////////////////////////////////////////////////
-// This method returns new copy of this NDArray, optionally in different order
-NDArray NDArray::dup(const char newOrder) const {
-
-    if (isEmpty())
-        return NDArrayFactory::empty(dataType(), getContext());
-
-    char order = newOrder == 'a' ? ordering() : newOrder;
-
-    // for now string arrays require special treatment
-    if (isS()) {
-        if (dataType() == DataType::UTF8) {
-            std::vector strings(lengthOf());
-
-            auto func = PRAGMA_THREADS_FOR{
-                    for (auto i = start; i < stop; i++) {
-                           strings[i] = std::move(this->e(i));
-                    }
-            };
-
-            samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
-
-            return NDArray(getShapeAsVector(), strings, dataType(), getContext());
-        }
-        if (dataType() == DataType::UTF16) {
-            std::vector strings(lengthOf());
-
-            auto func = PRAGMA_THREADS_FOR{
-                    for (auto i = start; i < stop; i++) {
-                           strings[i] = std::move(this->e(i));
-                    }
-            };
-
-            samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
-
-            return NDArray(getShapeAsVector(), strings, dataType(), getContext());
-        }
-
-        std::vector strings(lengthOf());
         auto func = PRAGMA_THREADS_FOR{
-               for (auto i = start; i < stop; i++) {
-                      strings[i] = std::move(this->e(i));
-               }
+            for (int e = start; e < stop; e++) {
+                auto cdata = outData + offsets[e];
+                auto end = nInputoffsets[e + 1];
+                auto idata = inData + nInputoffsets[e];
+                if (dtype == DataType::UTF16) {
+                    if (dataType() == DataType::UTF8) {
+                        unicode::utf8to16(idata, outData, end);
+                    }
+                    else {
+                        unicode::utf32to16(idata, outData, (end / sizeof(char32_t)));
+                    }
+                }
+                else if (dtype == DataType::UTF32) {
+                    if (dataType() == DataType::UTF8) {
+                        unicode::utf8to32(idata, cdata, end);
+                    }
+                    else {
+                        unicode::utf16to32(idata, outData, (end / sizeof(char16_t)));
+                    }
+                }
+                else {
+                    if (dataType() == DataType::UTF16) {
+                        unicode::utf16to8(idata, outData, (end / sizeof(char16_t)));
+                    }
+                    else {
+                        unicode::utf32to8(idata, outData, (end / sizeof(char32_t)));
+                    }
+                }
+            }
         };
 
         samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
 
-        return NDArray(getShapeAsVector(), strings, dataType(), getContext());
+        registerPrimaryUse({ &res }, { this });
+
+        return res;
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArray::asS, () const, LIBND4J_STRINGTYPES);
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::asT(DataType dtype) const {
+
+        if (isS() && !DataTypeUtils::isS(dtype))
+            throw std::runtime_error("NDArray::asT: you can't use this method on String array with not string DataType!");
+
+        if (!isS() && DataTypeUtils::isS(dtype))
+            throw std::runtime_error("NDArray::asT: you can't use this method on not String array with string DataType!");
+
+        if (isS()){
+            BUILD_SINGLE_SELECTOR(dtype, return asS, (), LIBND4J_STRINGTYPES);
+        } else {
+            BUILD_SINGLE_SELECTOR(dtype, return asT, (), LIBND4J_TYPES);
+        }
+
+        return NDArray();
     }
 
-    NDArray result(order, isScalar() ? std::vector({0}) : getShapeAsVector(), dataType(), getContext());
-    result.assign(*this);
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::cast(DataType dtype) const {
 
-    return result;
-}
+        if (isS() && !DataTypeUtils::isS(dtype))
+            throw std::runtime_error("NDArray::cast: you can't use this method on String array with not string DataType!");
+
+        if (!isS() && DataTypeUtils::isS(dtype))
+            throw std::runtime_error("NDArray::cast: you can't use this method on not String array with string DataType!");
+
+        return this->asT(dtype);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::cast(NDArray& target, DataType dtype) {
+        if (isS())
+            throw std::runtime_error("NDArray::cast: you can't use this method on String array!");
+        // TODO: to be implemented properly
+        target.assign(this);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::operator+=(const NDArray& other) {
+
+        if (isS())
+            throw std::runtime_error("NDArray::operator+=: you can't use this method on String array!");
+        if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType() && (this->dataType() != DataType::BOOL || other.dataType() != BOOL))
+            throw sd::datatype_exception::build("NDArray operator+=: Cannot add different types", this->dataType(), other.dataType());
+
+        if (this->lengthOf() != 1 && other.lengthOf() == 1) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execScalar(getContext(), sd::scalar::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else{
+            const Nd4jLong *bShape = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
+                throw std::invalid_argument("NDArray::operator+=: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+            if(shape::equalsTypesAndShapesSoft(shapeInfo(), bShape)) {
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Add(), other, *this, false);
+            }
+            else {
+                NDArray result(bShape, true, getContext());
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Add(), other, result, false);
+                *this = std::move(result);      // move assignment operator, zero cost copy
+            }
+        }
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::operator-=(const NDArray& other) {
+        if (isS())
+            throw std::runtime_error("NDArray::operator-=: you can't use this method on String array!");
+
+        if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType() && (this->dataType() != DataType::BOOL || other.dataType() != BOOL))
+            throw sd::datatype_exception::build("NDArray operator-=: Cannot subtract different types", this->dataType(), other.dataType());
+
+        if (lengthOf() != 1 && other.lengthOf() == 1) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execScalar(getContext(), sd::scalar::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else{
+            const Nd4jLong *bShape = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
+                throw std::invalid_argument("NDArray::operator-=: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+            if(shape::equalsTypesAndShapesSoft(shapeInfo(), bShape)) {
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Subtract(), other, *this, false);
+            }
+            else {
+                NDArray result(bShape, true, getContext());
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Subtract(), other, result, false);
+                *this = std::move(result);      // move assignment operator, zero cost copy
+            }
+        }
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::operator*=(const NDArray& other) {
+        if (isS())
+            throw std::runtime_error("NDArray::operator*=: you can't use this method on String array!");
+        if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType() && (this->dataType() != DataType::BOOL || other.dataType() != BOOL))
+            throw sd::datatype_exception::build("NDArray operator*=: Cannot multiply different types", this->dataType(), other.dataType());
+
+        if (lengthOf() != 1 && other.lengthOf() == 1) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execScalar(getContext(), sd::scalar::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else{
+            const Nd4jLong *bShape = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
+                throw std::invalid_argument("NDArray::operator*=: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+            if(shape::equalsTypesAndShapesSoft(_shapeInfo, bShape)) {
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Multiply(), other, *this, false);
+            }
+            else {
+                NDArray result(bShape, true, getContext());
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Multiply(), other, result, false);
+                *this = std::move(result);      // move assignment operator, zero cost copy
+            }
+        }
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::operator/=(const NDArray& other) {
+        if (isS() || other.isS())
+            throw std::runtime_error("NDArray::operator/=: you can't use this method on String array!");
+        if (other.isB())
+            throw std::runtime_error("NDArray::operator/=: you can't divide by bool array!");
+
+        if (!Environment::getInstance().isExperimentalBuild() && this->dataType() != other.dataType()) {
+            throw sd::datatype_exception::build("NDArray operator/=: Cannot divide different types", this->dataType(), other.dataType());
+        }
+
+        if (lengthOf() != 1 && other.lengthOf() == 1) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execScalar(getContext(), sd::scalar::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+            NDArray::prepareSpecialUse({this}, {this, &other});
+            NativeOpExecutioner::execPairwiseTransform(getContext(), sd::pairwise::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({this}, {this, &other});
+        }
+        else{
+            const Nd4jLong *bShape = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, bShape, getContext()->getWorkspace()))
+                throw std::invalid_argument("NDArray::operator/=: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+            if(shape::equalsTypesAndShapesSoft(_shapeInfo, bShape)) {
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Divide(), other, *this, false);
+            }
+            else {
+                NDArray result(bShape, true, getContext());
+                this->applyTrueBroadcast(sd::BroadcastOpsTuple::Divide(), other, result, false);
+                *this = std::move(result);      // move assignment operator, zero cost copy
+            }
+        }
+    }
+
+////////////////////////////////////////////////////////////////////////
+    template 
+    void NDArray::operator+=(const T value) {
+        if (isS())
+            throw std::runtime_error("NDArray::operator+=: you can't use this method on String array!");
+
+        auto other = NDArrayFactory::create(this->dataType(), value, getContext());
+
+        NDArray::prepareSpecialUse({this}, {this, &other});
+        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({this}, {this, &other});
+    }
+    template ND4J_EXPORT void NDArray::operator+=(const double value);
+    template ND4J_EXPORT void NDArray::operator+=(const float value);
+    template ND4J_EXPORT void NDArray::operator+=(const float16 value);
+    template ND4J_EXPORT void NDArray::operator+=(const bfloat16 value);
+    template ND4J_EXPORT void NDArray::operator+=(const Nd4jLong value);
+    template ND4J_EXPORT void NDArray::operator+=(const int value);
+    template ND4J_EXPORT void NDArray::operator+=(const bool value);
+
+////////////////////////////////////////////////////////////////////////
+    template
+    void NDArray::operator-=(const T value) {
+        if (isS())
+            throw std::runtime_error("NDArray::operator-=: you can't use this method on String array!");
+
+        auto other = NDArrayFactory::create(dataType(), value, getContext());
+
+        NDArray::prepareSpecialUse({this}, {this, &other});
+        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({this}, {this, &other});
+    }
+    template ND4J_EXPORT void NDArray::operator-=(const double value);
+    template ND4J_EXPORT void NDArray::operator-=(const float value);
+    template ND4J_EXPORT void NDArray::operator-=(const float16 value);
+    template ND4J_EXPORT void NDArray::operator-=(const bfloat16 value);
+    template ND4J_EXPORT void NDArray::operator-=(const Nd4jLong value);
+    template ND4J_EXPORT void NDArray::operator-=(const int value);
+    template ND4J_EXPORT void NDArray::operator-=(const bool value);
+
+////////////////////////////////////////////////////////////////////////
+    template
+    void NDArray::operator*=(const T scalar) {
+        if (isS())
+            throw std::runtime_error("NDArray::operator*=: you can't use this method on String array!");
+
+        auto other = NDArrayFactory::create(this->dataType(), scalar, getContext());
+        NDArray::prepareSpecialUse({this}, {this, &other});
+        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({this}, {this, &other});
+    }
+    template ND4J_EXPORT void NDArray::operator*=(const double scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const float scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const float16 scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const bfloat16 scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const Nd4jLong scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const int scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const int16_t scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const int8_t scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const uint8_t scalar);
+    template ND4J_EXPORT void NDArray::operator*=(const bool scalar);
+
+////////////////////////////////////////////////////////////////////////
+    template
+    void NDArray::operator/=(const T scalar) {
+        if (isS())
+            throw std::runtime_error("NDArray::operator/=: you can't use this method on String array!");
+
+        auto other = NDArrayFactory::create(this->dataType(), scalar, getContext());
+        NDArray::prepareSpecialUse({this}, {this, &other});
+        NativeOpExecutioner::execScalar(getContext(), sd::scalar::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({this}, {this, &other});
+    }
+    template ND4J_EXPORT void NDArray::operator/=(const double scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const float scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const float16 scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const bfloat16 scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const Nd4jLong scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const int scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const int16_t scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const int8_t scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const uint8_t scalar);
+    template ND4J_EXPORT void NDArray::operator/=(const bool scalar);
+
+////////////////////////////////////////////////////////////////////////
+// negative operator, it makes all array elements = -elements
+    NDArray NDArray::operator-() const & {
+        if (isS())
+            throw std::runtime_error("NDArray::negative-: you can't use this method on String array!");
+
+        NDArray result(shapeInfo(), false, getContext());
+
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execTransformSame(getContext(), sd::transform::Neg, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&result}, {this});
+
+        return result;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::operator-() && {
+        if (isS())
+            throw std::runtime_error("NDArray::negative-: you can't use this method on String array!");
+
+        NDArray::prepareSpecialUse({this}, {this});
+        NativeOpExecutioner::execTransformSame(getContext(), sd::transform::Neg, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {this});
+
+        return std::move(*this);
+    }
+
+////////////////////////////////////////////////////////////////////////
+// mathematical multiplication of two arrays
+    NDArray mmul(const NDArray& left, const NDArray& right) {
+        if (left.isS() || right.isS())
+            throw std::runtime_error("mmul friend function: you can't use this function on String array!");
+        auto ptr = MmulHelper::mmul(const_cast(&left), const_cast(&right), nullptr, 1., 0.);
+        NDArray result(std::move(*ptr));
+        delete ptr;
+        return result;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::tileToShape(const std::vector& shape, NDArray& target) {
+        if(&target != this) {
+            this->tile(target);
+            return;
+        }
+
+        std::vector thisShape(rankOf());
+        for(int i = 0; i < rankOf(); ++i)
+            thisShape[i] = sizeAt(i);
+
+        if(!ShapeUtils::areShapesBroadcastable(shape, thisShape))
+            throw std::runtime_error("NDArray::tileToShape method: the shape of this array and input shape are not suitable for broadcast operation !");
+
+        const int newRank = shape.size();
+        std::vector repeats(newRank);
+
+        for(int i = 1; i <= newRank; ++i) {
+            if(i > rankOf())
+                repeats[newRank-i] = shape[newRank - i];
+            else
+                repeats[newRank-i] = shape[newRank - i] / thisShape[rankOf() - i];
+        }
+
+        tilei(repeats);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::tileToShape(const std::initializer_list& shape, NDArray& target) {
+        tileToShape(std::vector(shape), target);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::tileToShape(const Nd4jLong* shapeInfo) {
+
+        NDArray result(const_cast(shapeInfo), false, getContext());
+        tile(result);
+        return result;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    double NDArray::getTrace() const {
+        if (isS())
+            throw std::runtime_error("NDArray::getTrace: you can't use this method on String array!");
+
+        int  rank    = rankOf();
+        auto shape   = shapeOf();
+        int  minDim  = 100000000;
+
+        Nd4jLong indices[MAX_RANK];
+        for(int j = 0; j < rank; ++j)
+            indices[j] = 1;
+
+        auto offset = shape::getOffset(shapeInfo(), indices);
+
+        for(int i = 0; i < rank; ++i)
+            if(minDim > shape[i])
+                minDim = shape[i];
+
+        double sum = 0.;
+
+        for(int i = 0; i < minDim; ++i)
+            sum += e(i * offset);
+
+        return sum;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::quantize(const NDArray& array) {
+
+        if(!array.isR())
+            throw std::invalid_argument("NDArray::quantize: type of array should be from real space!");
+
+        auto ws = array.getContext()->getWorkspace();
+
+        Nd4jLong* shapeInfo = ShapeBuilders::copyShapeInfo(array.shapeInfo(), true, ws);
+        ArrayOptions::setPropertyBit(shapeInfo, ARRAY_QUANTIZED);
+
+        std::shared_ptr buffer = std::make_shared(TypeCast::estimateQuantizedSize(array.lengthOf()), ArrayOptions::dataType(shapeInfo), ws);
+
+        NDArray result(buffer, ShapeDescriptor(shapeInfo), array.getContext());
+
+        return result;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, const NDArray& other, NDArray& target, const bool checkTargetShape, ExtraArguments *extraArgs) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::applyTrueBroadcast: you can't use this method on String array!");
+
+        if(((op.s == scalar::Divide || op.s == scalar::FloorDiv || op.s == scalar::FloorMod) && other.isB()) || (op.s == scalar::ReverseDivide && this->isB()))
+            throw std::runtime_error("NDArray::applyTrueBroadcast method: you can't divide by bool array !");
+
+        if (isEmpty() || other.isEmpty())
+            return;
+
+        // if (lengthOf() == 1) {
+        //     target.assign(this);
+        //     target.applyPairwiseTransform(op.p, other, extraArgs);
+        //     return;
+        // }
+        // if (other.lengthOf() == 1) {
+        //     const_cast(this)->applyScalarArr(op.s, other, target, extraArgs);
+        //     return;
+        // }
+
+        if(checkTargetShape) {
+            const Nd4jLong* newShapeInfo = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of target array must be equal to max->rankOf)()
+                throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+            if(!shape::equalsTypesAndShapesSoft(target.shapeInfo(), newShapeInfo))
+                throw std::runtime_error("NDArray::applyTrueBroadcast method: the shape or type of target array is wrong !");
+        }
+
+        Nd4jLong const* xShapeInfoH = shapeInfo();
+        Nd4jLong const* yShapeInfoH = other.shapeInfo();
+        Nd4jLong const* xShapeInfoD = specialShapeInfo();
+        Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
+
+        if(!isSameShape(target)) {
+            auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace());
+            xShapeInfoH = xPack.primary();
+            xShapeInfoD = xPack.special();
+        }
+        if(!other.isSameShape(target)) {
+            auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace());
+            yShapeInfoH = yPack.primary();
+            yShapeInfoD = yPack.special();
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execBroadcast(getContext(), op.b, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        registerSpecialUse({&target}, {this, &other});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyTrueBroadcast(sd::BroadcastBoolOpsTuple op, const NDArray& other, NDArray& target, const bool checkTargetShape, ExtraArguments *extraArgs) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::applyTrueBroadcast bool: you can't use this method on String array!");
+
+        if (isEmpty() || other.isEmpty())
+            return;
+
+        // if (lengthOf() == 1) {
+        //     NDArray temp(target._shapeInfo, dataType(), false, getContext());
+        //     temp.assign(this);
+        //     temp.applyPairwiseTransform(op.p, other, target,  extraArgs);
+        //     return;
+        // }
+        // if (other.lengthOf() == 1) {
+        //     this->applyScalarArr(op.s, other, target, extraArgs);
+        //     return;
+        // }
+
+        if(checkTargetShape) {
+            const Nd4jLong* newShapeInfo = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of target array must be equal to max->rankOf)()
+                throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+            if(!shape::equalsSoft(target._shapeInfo, newShapeInfo) || target.dataType() != DataType::BOOL)
+                throw std::runtime_error("NDArray::applyTrueBroadcast bool method: the shape or type of target array is wrong !");
+            if(dataType() != other.dataType())
+                throw std::invalid_argument("NDArray::applyTrueBroadcast bool method: this and other arrays must have the same type !");
+        }
+
+        Nd4jLong const* xShapeInfoH = shapeInfo();
+        Nd4jLong const* yShapeInfoH = other.shapeInfo();
+        Nd4jLong const* xShapeInfoD = specialShapeInfo();
+        Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
+
+        if(!isSameShape(target)) {
+            auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace());
+            xShapeInfoH = xPack.primary();
+            xShapeInfoD = xPack.special();
+        }
+        if(!other.isSameShape(target)) {
+            auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace());
+            yShapeInfoH = yPack.primary();
+            yShapeInfoD = yPack.special();
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execBroadcastBool(getContext(), op.b, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr);
+        registerSpecialUse({&target}, {this, &other});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyTrueBroadcast(sd::BroadcastIntOpsTuple op, const NDArray& other, NDArray& target, const bool checkTargetShape, ExtraArguments *extraArgs) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::applyTrueBroadcast bool: you can't use this method on String array!");
+
+        if (isEmpty() || other.isEmpty())
+            return;
+
+        // if (lengthOf() == 1) {
+        //     NDArray temp(target._shapeInfo, dataType(), false, getContext());
+        //     temp.assign(this);
+        //     temp.applyPairwiseTransform(op.p, other, target,  extraArgs);
+        //     return;
+        // }
+        // if (other.lengthOf() == 1) {
+        //     this->applyScalarArr(op.s, other, target, extraArgs);
+        //     return;
+        // }
+
+        if(checkTargetShape) {
+            const Nd4jLong* newShapeInfo = nullptr;
+            if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, false, newShapeInfo, getContext()->getWorkspace()))          // the rank of target array must be equal to max->rankOf)()
+                throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+            if(!shape::equalsSoft(target._shapeInfo, newShapeInfo) || target.dataType() != this->dataType())
+                throw std::runtime_error("NDArray::applyTrueBroadcast int method: the shape or type of target array is wrong !");
+            if(dataType() != other.dataType())
+                throw std::invalid_argument("NDArray::applyTrueBroadcast int method: this and other arrays must have the same type !");
+        }
+
+        Nd4jLong const* xShapeInfoH = shapeInfo();
+        Nd4jLong const* yShapeInfoH = other.shapeInfo();
+        Nd4jLong const* xShapeInfoD = specialShapeInfo();
+        Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
+
+        if(!isSameShape(target)) {
+            auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace());
+            xShapeInfoH = reinterpret_cast(xPack.primary());
+            xShapeInfoD = reinterpret_cast(xPack.special());
+        }
+        if(!other.isSameShape(target)) {
+            auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace());
+            yShapeInfoH = reinterpret_cast(yPack.primary());
+            yShapeInfoD = reinterpret_cast(yPack.special());
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execBroadcastInt(getContext(), op.b, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        registerSpecialUse({&target}, {this, &other});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, const NDArray& other, ExtraArguments *extraArgs) const & {
+        if (isEmpty() || other.isEmpty()) {
+            if (isEmpty())
+                return NDArray(*this);
+            else
+                return NDArray(other);
+        }
+
+        const Nd4jLong* newShapeInfo = nullptr;
+        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
+            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+        NDArray result(newShapeInfo, true, getContext());
+
+        this->applyTrueBroadcast(op, other, result, false, extraArgs);
+
+        return result;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, NDArray&& other, ExtraArguments *extraArgs) const & {
+        if (isEmpty() || other.isEmpty()) {
+            if (isEmpty())
+                return NDArray(*this);
+            else
+                return NDArray(other);
+        }
+
+        const Nd4jLong* newShapeInfo = nullptr;
+        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
+            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+        if(!shape::shapeEquals(newShapeInfo, other.shapeInfo())) {
+
+            NDArray result(newShapeInfo, true, getContext());
+            this->applyTrueBroadcast(op, other, result, false, extraArgs);
+            return std::move(result);
+        }
+
+        this->applyTrueBroadcast(op, other, other, false, extraArgs);
+        return std::move(other);
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, const NDArray& other, ExtraArguments *extraArgs) && {
+        if (isEmpty() || other.isEmpty()) {
+            if (isEmpty())
+                return NDArray(*this);
+            else
+                return NDArray(other);
+        }
+
+        const Nd4jLong* newShapeInfo = nullptr;
+        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
+            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+        if(!shape::shapeEquals(newShapeInfo, shapeInfo())) {
+
+            NDArray result(newShapeInfo, true, getContext());
+            this->applyTrueBroadcast(op, other, result, false, extraArgs);
+            return std::move(result);
+        }
+
+        this->applyTrueBroadcast(op, other, *this, false, extraArgs);
+        return std::move(*this);
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::applyTrueBroadcast(sd::BroadcastOpsTuple op, NDArray&& other, ExtraArguments *extraArgs) && {
+        if (isEmpty() || other.isEmpty()) {
+            if (isEmpty())
+                return NDArray(*this);
+            else
+                return NDArray(other);
+        }
+
+        const Nd4jLong* newShapeInfo = nullptr;
+        if(!ShapeUtils::evalBroadcastShapeInfo(*this, other, true, newShapeInfo, getContext()->getWorkspace()))          // the rank of new array = max->rankOf)()
+            throw std::runtime_error("NDArray::applyTrueBroadcast method: the shapes of this and other arrays are not suitable for broadcast operation !");
+
+        const bool thisMove  = shape::shapeEquals(newShapeInfo, shapeInfo());
+        const bool otherMove = shape::shapeEquals(newShapeInfo, other.shapeInfo());
+
+        if(!thisMove && !otherMove) {
+
+            NDArray result(newShapeInfo, true, getContext());
+            this->applyTrueBroadcast(op, other, result, false, extraArgs);
+            return std::move(result);
+        }
+
+        if(thisMove) {
+            this->applyTrueBroadcast(op, other, *this, false, extraArgs);
+            return std::move(*this);
+        }
+
+        // otherMove
+        this->applyTrueBroadcast(op, other, other, false, extraArgs);
+        return std::move(other);
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyBroadcast(sd::broadcast::Ops op, const std::vector& dimensions, const NDArray& other, NDArray& target, ExtraArguments* extraArgs) {
+
+        if (dimensions.size() == 0)
+            return;
+
+        if (isS())
+            throw std::runtime_error("NDArray::applyBroadcast: you can't use this method on String array!");
+        if(((op == broadcast::Divide || op == broadcast::FloorDiv || op == broadcast::FloorMod) && other.isB()) || (op == broadcast::ReverseDivide && this->isB()))
+            throw std::runtime_error("NDArray::applyBroadcast: you can't divide by array!");
+        if(isEmpty() || other.isEmpty()) {
+            if(!target.isEmpty())
+                throw std::runtime_error("NDArray::applyBroadcast method: when some of input arrays (or both) is empty, target array must be empty as well !");
+            return;
+        }
+
+        // if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+        //     NDArray::prepareSpecialUse({&target}, {this, &other});
+        //     NativeOpExecutioner::execPairwiseTransform(getContext(), fromBroadcastToPairwise(op), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.special(), nullptr);
+        //     NDArray::registerSpecialUse({&target}, {this, &other});
+        //     return;
+        // }
+
+        if(target.dataType() != DataTypeUtils::pickPairwiseResultType(shapeInfo(), other.shapeInfo()))
+            throw std::invalid_argument("NDArray::applyBroadcast method: wrong type of target array !");
+        if(!target.isSameShape(this) && !target.isSameShape(other))
+            throw std::invalid_argument("NDArray::applyBroadcast method: one of of two input arrays (this or other) should has the same shape as target array!");
+
+        std::vector copy(dimensions);
+
+        if (dimensions.size() > 1)
+            std::sort(copy.begin(), copy.end());
+
+        Nd4jLong const* xShapeInfoH = shapeInfo();
+        Nd4jLong const* yShapeInfoH = other.shapeInfo();
+        Nd4jLong const* xShapeInfoD = specialShapeInfo();
+        Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
+
+        if(!isSameShape(target)) {
+            auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace(), copy);
+            xShapeInfoH = reinterpret_cast(xPack.primary());
+            xShapeInfoD = reinterpret_cast(xPack.special());
+        }
+        if(!other.isSameShape(target)) {
+            auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace(), copy);
+            yShapeInfoH = reinterpret_cast(yPack.primary());
+            yShapeInfoD = reinterpret_cast(yPack.special());
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execBroadcast(getContext(), op, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        registerSpecialUse({&target}, {this, &other});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyBroadcast(sd::broadcast::BoolOps op, const std::vector& dimensions, const NDArray& other, NDArray& target, ExtraArguments* extraArgs) {
+
+        if (dimensions.size() == 0)
+            return;
+
+        if (isS())
+            throw std::runtime_error("NDArray::applyBroadcast BoolOps: you can't use this method on String array!");
+        if(isEmpty() || other.isEmpty()) {
+            if(!target.isEmpty())
+                throw std::runtime_error("NDArray::applyBroadcast BoolOps: when some of input arrays (or both) is empty, target array must be empty as well !");
+            return;
+        }
+
+        // if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+        //     NDArray::prepareSpecialUse({&target}, {this, &other});
+        //     NativeOpExecutioner::execPairwiseBoolTransform(getContext(), fromBroadcastToPairwiseBool(op), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.special(), nullptr);
+        //     NDArray::registerSpecialUse({&target}, {this, &other});
+        //     return;
+        // }
+
+        if(target.dataType() != DataType::BOOL)
+            throw std::invalid_argument("NDArray::applyBroadcast bool method: type of target array must be BOOL!");
+        if(!target.isSameShape(this) && !target.isSameShape(other))
+            throw std::invalid_argument("NDArray::applyBroadcast bool method: one of of two input arrays (this or other) should has the same shape as target array!");
+        if(_dataType != other._dataType)
+            throw std::invalid_argument("NDArray::applyBroadcast bool method: this and other arrays must have the same type !");
+
+        std::vector copy(dimensions);
+
+        if (dimensions.size() > 1)
+            std::sort(copy.begin(), copy.end());
+
+        Nd4jLong const* xShapeInfoH = shapeInfo();
+        Nd4jLong const* yShapeInfoH = other.shapeInfo();
+        Nd4jLong const* xShapeInfoD = specialShapeInfo();
+        Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
+
+        if(!isSameShape(target)) {
+            auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace(), copy);
+            xShapeInfoH = reinterpret_cast(xPack.primary());
+            xShapeInfoD = reinterpret_cast(xPack.special());
+        }
+        if(!other.isSameShape(target)) {
+            auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace(), copy);
+            yShapeInfoH = reinterpret_cast(yPack.primary());
+            yShapeInfoD = reinterpret_cast(yPack.special());
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execBroadcastBool(getContext(), op, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr);
+        registerSpecialUse({&target}, {this, &other});
+    }
+
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyBroadcast(sd::broadcast::IntOps op, const std::vector& dimensions, const NDArray& other, NDArray& target, ExtraArguments* extraArgs) {
+
+        if (dimensions.empty())
+            return;
+
+        if (!isZ())
+            throw std::runtime_error("NDArray::applyBroadcast IntOps: you can't use this method on non-Integer array!");
+        if(isEmpty() || other.isEmpty()) {
+            if(!target.isEmpty())
+                throw std::runtime_error("NDArray::applyBroadcast IntOps: when some of input arrays (or both) is empty, target array must be empty as well !");
+            return;
+        }
+
+        // if (other.lengthOf() == lengthOf() && this->rankOf() == other.rankOf()) {
+        //     NDArray::prepareSpecialUse({&target}, {this, &other});
+        //     NativeOpExecutioner::execPairwiseIntTransform(getContext(), fromBroadcastToPairwiseInt(op), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.special(), nullptr);
+        //     NDArray::registerSpecialUse({&target}, {this, &other});
+        //     return;
+        // }
+
+        if(target.dataType() != dataType())
+            throw std::invalid_argument("NDArray::applyBroadcast int method: type of target array must be the same as input!");
+        if(!target.isSameShape(this) && !target.isSameShape(other))
+            throw std::invalid_argument("NDArray::applyBroadcast int method: one of of two input arrays (this or other) should has the same shape as target array!");
+        if(_dataType != other._dataType)
+            throw std::invalid_argument("NDArray::applyBroadcast int method: this and other arrays must have the same type !");
+
+        std::vector copy(dimensions);
+
+        if (dimensions.size() > 1)
+            std::sort(copy.begin(), copy.end());
+
+        Nd4jLong const* xShapeInfoH = shapeInfo();
+        Nd4jLong const* yShapeInfoH = other.shapeInfo();
+        Nd4jLong const* xShapeInfoD = specialShapeInfo();
+        Nd4jLong const* yShapeInfoD = other.specialShapeInfo();
+
+        if(!isSameShape(target)) {
+            auto xPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), shapeInfo(), getContext()->getWorkspace(), copy);
+            xShapeInfoH = reinterpret_cast(xPack.primary());
+            xShapeInfoD = reinterpret_cast(xPack.special());
+        }
+        if(!other.isSameShape(target)) {
+            auto yPack = ConstantShapeHelper::getInstance().createShapeInfoWithUnitiesForBroadcast(target.shapeInfo(), other.shapeInfo(), other.getContext()->getWorkspace(), copy);
+            yShapeInfoH = reinterpret_cast(yPack.primary());
+            yShapeInfoD = reinterpret_cast(yPack.special());
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execBroadcastInt(getContext(), op, buffer(), xShapeInfoH, specialBuffer(), xShapeInfoD, other.buffer(), yShapeInfoH, other.specialBuffer(), yShapeInfoD, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        registerSpecialUse({&target}, {this, &other});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyBroadcast(sd::broadcast::Ops op, const std::initializer_list dimensions, const NDArray& tadArray, NDArray& target, ExtraArguments* extraArgs) {
+        std::vector vec(dimensions);
+        applyBroadcast(op, vec, tadArray, target, extraArgs);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void* NDArray::operator new(size_t i) {
+        if (sd::memory::MemoryRegistrator::getInstance().hasWorkspaceAttached()) {
+            sd::memory::Workspace* ws = sd::memory::MemoryRegistrator::getInstance().getWorkspace();
+            return ws->allocateBytes((Nd4jLong) i);
+        }
+        else {
+            auto p = malloc(i);
+            CHECK_ALLOC(p, "Failed to allocate new NDArray", i);
+            return p;
+        }
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::operator delete(void* p) {
+        if (!sd::memory::MemoryRegistrator::getInstance().hasWorkspaceAttached())
+            free(p);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    template 
+    std::vector NDArray::asVectorT() {
+
+        std::vector result(this->lengthOf());
+
+        PRAGMA_OMP_SIMD
+        for (int e = 0; e < this->lengthOf(); e++)
+            result[e] = this->e(e);
+
+        return result;
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT std::vector, NDArray::asVectorT(), LIBND4J_TYPES);
+
+//////////////////////////////////////////////////////////////////////////
+// set new order and shape in case of suitable array length
+    bool NDArray::reshapei(const char order, const std::vector& cshape, const bool copyToNewBuff) {
+
+        // check firstly whether cshape is identical to shape of array, if yes then reshape is unnecessary
+        if(order == ordering() && shape::shapeEquals(rankOf(), shapeOf(), cshape.size(), cshape.data()))
+            return true;
+
+        const bool isOutShapeEmpty = std::find(cshape.begin(), cshape.end(), 0) != cshape.end();
+
+        if(isEmpty() && !isOutShapeEmpty)
+            throw std::invalid_argument("NDArray::reshapei: can't reshape empty array to non-empty !");
+        if(!isEmpty() && isOutShapeEmpty)
+            throw std::invalid_argument("NDArray::reshapei: can't reshape non-empty array to empty !");
+        if(isEmpty() && isOutShapeEmpty) {
+            Nd4jLong* shapeInfoNew = ShapeBuilders::emptyShapeInfo(dataType(), order, cshape, getContext()->getWorkspace());
+            setShapeInfo(shapeInfoNew);
+            RELEASE(shapeInfoNew, getContext()->getWorkspace());
+            return true;
+        }
+
+        std::vector shape(cshape);
+        int rank = shape.size();
+
+        // looking for negative in shape
+
+        int numberNegativesOnes = 0;
+
+        Nd4jLong* shape_ = shape.data();
+        for (int i = 0; i < (int) shape.size(); i++) {
+            if (shape[i] < 0) {
+                if (numberNegativesOnes >= 1)
+                    throw std::runtime_error("NDArray::reshapei: only one dimension can be negative at once");
+
+                numberNegativesOnes++;
+
+                int shapeLength = 1;
+                for (int j = 0; j < (int) shape.size(); j++)
+                    if (i != j)
+                        shapeLength *= shape_[j];
+
+                Nd4jLong realShape = sd::math::nd4j_abs(lengthOf() / shapeLength);
+                auto thisNewShape = new Nd4jLong[shape.size()];
+
+                for (int j = 0; j < (int) shape.size(); j++)
+                    if (i != j)
+                        thisNewShape[j] = shape_[j];
+                    else
+                        thisNewShape[j] = realShape;
+
+                shape_ = thisNewShape;
+            }
+        }
+
+        for (int e = 0; e < (int) shape.size(); e++)
+            shape[e] = shape_[e];
+
+        if (numberNegativesOnes > 0)
+            delete[] shape_;
+
+        Nd4jLong arrLength = 1;
+        for(const auto& item : shape)
+            arrLength *= item;
+
+        if(platformBuffer() == nullptr || arrLength != this->lengthOf()) {
+            this->printShapeInfo("Mismatched shape");
+            sd::Logger::printv("Shape requested: ", shape);
+            nd4j_debug("Requested length in reshape: %i; Existing length: %i;\n", arrLength, this->lengthOf());
+            throw std::runtime_error("NDArray::reshapei: bad input shape!");
+        }
+
+        Nd4jLong *shapeInfoNew;
+        ALLOCATE(shapeInfoNew, getContext()->getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);
+
+        bool canReshape = shape::reshapeC(shapeInfo(), order, shape.size(), shape.data(), shapeInfoNew);
+
+        if (canReshape) {
+            setShapeInfo(shapeInfoNew);
+        }
+        else {
+            NDArray temp(order, shape, dataType(), getContext());
+            if(copyToNewBuff)
+                this->applyTransform(transform::Assign, temp, nullptr);
+            *this = std::move(temp);
+        }
+
+        RELEASE(shapeInfoNew, getContext()->getWorkspace());
+
+        return canReshape;
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::nullify() {
+        if (isEmpty())
+            return;
+
+        if (isView() || ews() != 1)
+            assign(0);
+        else
+            _buffer->setToZeroBuffers();
+
+    }
+
+////////////////////////////////////////////////////////////////////////
+    template 
+    void NDArray::templatedSet(void *buffer, const Nd4jLong xOfsset, sd::DataType dtype, const void *value) {
+        BUILD_SINGLE_PARTIAL_SELECTOR(dtype, templatedSet< , T>(buffer, xOfsset, value), LIBND4J_TYPES);
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedSet, (void *buffer, const Nd4jLong xOfsset, sd::DataType dtype, const void *value), LIBND4J_TYPES);
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::applyPairwiseTransform(sd::pairwise::Ops op, const NDArray& other, NDArray& target, ExtraArguments *extraParams) const{
+        if (isS())
+            throw std::runtime_error("NDArray::applyPairwiseTransform: you can't use this method on String array!");
+        if (other.lengthOf() != target.lengthOf())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform method - lengths of arrays are mismatched");
+        if (target.dataType() != this->dataType() && target.dataType() != other.dataType())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform method - type of target array must be the same as type of this or other array !");
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execPairwiseTransform(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &other});
+
+        if (extraParams != nullptr)
+            synchronize("NDArray::applyPairwiseTransform");
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::applyPairwiseTransform(sd::pairwise::BoolOps op, const NDArray& other, NDArray& target, ExtraArguments *extraParams) const{
+        if (isS())
+            throw std::runtime_error("NDArray::applyPairwiseTransform BoolOps: you can't use this method on String array!");
+        if (other.lengthOf() != target.lengthOf())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform BoolOps method - lengths of arrays are mismatched");
+        if (!target.isB())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform BoolOps method - result must have bool type");
+        if (dataType() != other.dataType())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform BoolOps method - this and other arrays must have the same type !");
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execPairwiseBoolTransform(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &other});
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::applyPairwiseTransform(sd::pairwise::IntOps op, const NDArray& other, NDArray& target, ExtraArguments *extraParams) const{
+        if (isS())
+            throw std::runtime_error("NDArray::applyPairwiseTransform IntOps: you can't use this method on String array!");
+        if (other.lengthOf() != target.lengthOf())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform IntOps method - lengths of arrays are mismatched");
+        if (!target.isZ())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform IntOps method - result must have bool type");
+        if (dataType() != other.dataType())
+            throw std::invalid_argument("NDArray::applyPairwiseTransform IntOps method - this and other arrays must have the same type !");
+
+        NDArray::prepareSpecialUse({&target}, {this, &other});
+        NativeOpExecutioner::execPairwiseIntTransform(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &other});
+    }
+
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::applyPairwiseTransform(sd::pairwise::Ops op, const NDArray& other, ExtraArguments *extraParams) {
+        applyPairwiseTransform(op, other, *this, extraParams);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    template 
+    void NDArray::templatedDoubleAssign(void *xBuffer, const Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const {
+        auto x = reinterpret_cast(xBuffer);
+        const auto y = reinterpret_cast(yBuffer);
+        x[xOffset] = static_cast(y[yOffset]);
+    }
+    BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedDoubleAssign, (void *xBuffer, const Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const, LIBND4J_TYPES, LIBND4J_TYPES);
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::varianceAlongDimension(sd::variance::Ops op, NDArray& target, const bool biasCorrected, const std::vector& dimensions) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::varianceAlongDimension: you can't use this method on String array!");
+
+        if (!target.isR())
+            throw std::runtime_error("NDArray::varianceAlongDimension: target array must have FLOAT type");
+
+        NDArray::prepareSpecialUse({&target}, {this});
+
+        if(rankOf() == dimensions.size() || dimensions.empty())
+            NativeOpExecutioner::execSummaryStatsScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), biasCorrected);
+        else {
+            std::vector copy(dimensions);
+            auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
+            auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimensions);
+            NativeOpExecutioner::execSummaryStats(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), pDims, dimensions.size(), packX.platformShapeInfo(), packX.platformOffsets(), biasCorrected);
+            synchronize("NDArray::varianceAlongDimension");
+        }
+
+        NDArray::registerSpecialUse({&target}, {this});
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::varianceAlongDimension(sd::variance::Ops op, const bool biasCorrected, const std::vector& dimensions) const {
+        if (isS())
+            throw std::runtime_error("NDArray::varianceAlongDimension: you can't use this method on String array!");
+
+        std::vector copy(dimensions);
+        if (copy.size() > 1)
+            std::sort(copy.begin(), copy.end());
+
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataTypeUtils::pickFloatingType(dataType()), false, false, getContext()->getWorkspace());
+        NDArray result(newShape, true, getContext());
+
+        this->varianceAlongDimension(op, result, biasCorrected, dimensions);
+
+        return result;
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::varianceAlongDimension(sd::variance::Ops op, const bool biasCorrected, const std::initializer_list& dimensions) const {
+        return varianceAlongDimension(op, biasCorrected, std::vector(dimensions));
+    }
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::varianceAlongDimension(sd::variance::Ops op, NDArray &target, const bool biasCorrected, const std::initializer_list& dimensions) const {
+        varianceAlongDimension(op, target, biasCorrected, std::vector(dimensions));
+    }
+
+////////////////////////////////////////////////////////////////////////
+// This method returns new copy of this NDArray, optionally in different order
+    NDArray NDArray::dup(const char newOrder) const {
+
+        if (isEmpty())
+            return NDArrayFactory::empty(dataType(), getContext());
+
+        char order = newOrder == 'a' ? ordering() : newOrder;
+
+        // for now string arrays require special treatment
+        if (isS()) {
+            if (dataType() == DataType::UTF8) {
+                std::vector strings(lengthOf());
+
+                auto func = PRAGMA_THREADS_FOR{
+                    for (auto i = start; i < stop; i++) {
+                        strings[i] = std::move(this->e(i));
+                    }
+                };
+
+                samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+                return NDArray(getShapeAsVector(), strings, dataType(), getContext());
+            }
+            if (dataType() == DataType::UTF16) {
+                std::vector strings(lengthOf());
+
+                auto func = PRAGMA_THREADS_FOR{
+                    for (auto i = start; i < stop; i++) {
+                        strings[i] = std::move(this->e(i));
+                    }
+                };
+
+                samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+                return NDArray(getShapeAsVector(), strings, dataType(), getContext());
+            }
+
+            std::vector strings(lengthOf());
+            auto func = PRAGMA_THREADS_FOR{
+                for (auto i = start; i < stop; i++) {
+                    strings[i] = std::move(this->e(i));
+                }
+            };
+
+            samediff::Threads::parallel_for(func, 0, lengthOf(), 1);
+
+            return NDArray(getShapeAsVector(), strings, dataType(), getContext());
+        }
+
+        NDArray result(order, isScalar() ? std::vector({0}) : getShapeAsVector(), dataType(), getContext());
+        result.assign(*this);
+
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // This method returns true if two arrays are equal, with custom or default Eps value of 1e-5, false otherwise
-bool NDArray::equalsTo(const NDArray *other, double eps) const {
+    bool NDArray::equalsTo(const NDArray *other, double eps) const {
 
-    if (dataType() != other->dataType() || lengthOf() != other->lengthOf())
-        return false;
-
-    // we need to be able to compare [1, len] to [len]
-    if ((rankOf() == 1 && other->rankOf() == 2) || (rankOf() == 2 && other->rankOf() == 1)) {
-        // FIXME: do something here?
-    } else if (!shape::equalsSoft(shapeInfo(), other->shapeInfo()))
-        return false;
-
-    if (isS()) {
-        // string is special case, we'll compare them one by one, considering both arrays are guaranteed to have the same length
-
-        if (dataType() == DataType::UTF8) {
-            for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
-                auto s1 = this->e(e);
-                auto s2 = other->e(e);
-
-                if (s1 != s2)
-                    return false;
-            }
-        }
-        else if (dataType() == DataType::UTF16) {
-            for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
-                auto s1 = this->e(e);
-                auto s2 = other->e(e);
-
-                if (s1 != s2)
-                    return false;
-            }
-        }
-        else {
-            for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
-                auto s1 = this->e(e);
-                auto s2 = other->e(e);
-
-                if (s1 != s2)
-                    return false;
-            }
-        }
-
-        return true;
-    } else {
-        // regular numeric types
-        NDArray tmp(sd::DataType::FLOAT32, getContext()); // scalar = 0
-
-        ExtraArguments extras({0.0, 0.0, eps});
-
-        NDArray::prepareSpecialUse({&tmp}, {this, other});
-        NativeOpExecutioner::execReduce3Scalar(getContext(), reduce3::EqualsWithEps, buffer(), shapeInfo(),
-                                               specialBuffer(), specialShapeInfo(),
-                                               extras.argumentsAsT(DataType::FLOAT32), other->buffer(),
-                                               other->shapeInfo(), other->specialBuffer(),
-                                               other->specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(),
-                                               tmp.specialBuffer(), tmp.specialShapeInfo());
-        NDArray::registerSpecialUse({&tmp}, {this, other});
-
-        synchronize("NDArray::equalsTo");
-
-        if (tmp.e(0) != 0)
+        if (dataType() != other->dataType() || lengthOf() != other->lengthOf())
             return false;
 
-        return true;
+        // we need to be able to compare [1, len] to [len]
+        if ((rankOf() == 1 && other->rankOf() == 2) || (rankOf() == 2 && other->rankOf() == 1)) {
+            // FIXME: do something here?
+        } else if (!shape::equalsSoft(shapeInfo(), other->shapeInfo()))
+            return false;
+
+        if (isS()) {
+            // string is special case, we'll compare them one by one, considering both arrays are guaranteed to have the same length
+
+            if (dataType() == DataType::UTF8) {
+                for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
+                    auto s1 = this->e(e);
+                    auto s2 = other->e(e);
+
+                    if (s1 != s2)
+                        return false;
+                }
+            }
+            else if (dataType() == DataType::UTF16) {
+                for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
+                    auto s1 = this->e(e);
+                    auto s2 = other->e(e);
+
+                    if (s1 != s2)
+                        return false;
+                }
+            }
+            else {
+                for (Nd4jLong e = 0; e < this->lengthOf(); e++) {
+                    auto s1 = this->e(e);
+                    auto s2 = other->e(e);
+
+                    if (s1 != s2)
+                        return false;
+                }
+            }
+
+            return true;
+        } else {
+            // regular numeric types
+            NDArray tmp(sd::DataType::FLOAT32, getContext()); // scalar = 0
+
+            ExtraArguments extras({0.0, 0.0, eps});
+
+            NDArray::prepareSpecialUse({&tmp}, {this, other});
+            NativeOpExecutioner::execReduce3Scalar(getContext(), reduce3::EqualsWithEps, buffer(), shapeInfo(),
+                                                   specialBuffer(), specialShapeInfo(),
+                                                   extras.argumentsAsT(DataType::FLOAT32), other->buffer(),
+                                                   other->shapeInfo(), other->specialBuffer(),
+                                                   other->specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(),
+                                                   tmp.specialBuffer(), tmp.specialShapeInfo());
+            NDArray::registerSpecialUse({&tmp}, {this, other});
+
+            synchronize("NDArray::equalsTo");
+
+            if (tmp.e(0) != 0)
+                return false;
+
+            return true;
+        }
     }
-}
 
 //////////////////////////////////////////////////////////////////////////
-template <>
-std::string NDArray::e(const Nd4jLong i) const {
+    template <>
+    std::string NDArray::e(const Nd4jLong i) const {
 
-    if (!isS())
-        throw std::runtime_error("Can't get std::string out of non-string array");
+        if (!isS())
+            throw std::runtime_error("Can't get std::string out of non-string array");
 
-    if (i == lengthOf())
-        throw std::runtime_error("Can't get std::string for index out of range");
+        if (i == lengthOf())
+            throw std::runtime_error("Can't get std::string for index out of range");
 
 
-    if (this->dataType() == DataType::UTF16) {
-        auto u16 = this->e(i);
-        std::string s;
-        StringUtils::u16StringToU8String(u16, s);
-        return s;
+        if (this->dataType() == DataType::UTF16) {
+            auto u16 = this->e(i);
+            std::string s;
+            StringUtils::u16StringToU8String(u16, s);
+            return s;
+        }
+
+        if (this->dataType() == DataType::UTF32) {
+            auto u32 = this->e(i);
+            std::string s;
+            StringUtils::u32StringToU8String(u32, s);
+            return s;
+        }
+
+        NDArray::preparePrimaryUse({}, {this});
+
+        auto offsets = bufferAsT();
+        auto offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
+        auto start = offsets[i];
+        auto end = offsets[i + 1];
+        auto data = bufferAsT() + offsetsLength + start;
+
+        std::string r(reinterpret_cast(data), (end - start));
+
+        registerPrimaryUse({}, {this});
+
+        return r;
     }
 
-    if (this->dataType() == DataType::UTF32) {
-        auto u32 = this->e(i);
-        std::string s;
-        StringUtils::u32StringToU8String(u32, s);
-        return s;
+    template <>
+    std::u16string NDArray::e(const Nd4jLong i) const {
+
+        if (!isS())
+            throw std::runtime_error("Can't get std::u16string out of non-string array");
+
+        if(i == lengthOf())
+            throw std::runtime_error("Can't get std::u16string for index out of range");
+
+        if (this->dataType() == DataType::UTF8) {
+            auto u = this->e(i);
+            std::u16string s;
+            StringUtils::u8StringToU16String(u, s);
+            return s;
+        }
+
+        if (this->dataType() == DataType::UTF32) {
+            auto u32 = this->e(i);
+            std::u16string s;
+            StringUtils::u32StringToU16String(u32, s);
+            return s;
+        }
+
+        NDArray::preparePrimaryUse({}, { this });
+
+        auto offsets = bufferAsT();
+        Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
+        Nd4jLong start = offsets[i];
+        Nd4jLong end = offsets[i + 1];
+        auto data = bufferAsT() + offsetsLength + start;
+
+        std::u16string r(reinterpret_cast(data), (end - start) / sizeof(char16_t));
+
+        registerPrimaryUse({}, { this });
+
+        return r;
     }
 
-    NDArray::preparePrimaryUse({}, {this});
+    template <>
+    std::u32string NDArray::e(const Nd4jLong i) const {
 
-    auto offsets = bufferAsT();
-    auto offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
-    auto start = offsets[i];
-    auto end = offsets[i + 1];
-    auto data = bufferAsT() + offsetsLength + start;
+        if (!isS())
+            throw std::runtime_error("Can't get std::u32string out of non-string array");
 
-    std::string r(reinterpret_cast(data), (end - start));
+        if (i == lengthOf())
+            throw std::runtime_error("Can't get std::u32string for index out of range");
 
-    registerPrimaryUse({}, {this});
+        if (this->dataType() == DataType::UTF8) {
+            auto u = this->e(i);
+            std::u32string s;
+            StringUtils::u8StringToU32String(u, s);
+            return s;
+        }
 
-    return r;
-}
+        if (this->dataType() == DataType::UTF16) {
+            auto u16 = this->e(i);
+            std::u32string s;
+            StringUtils::u16StringToU32String(u16, s);
+            return s;
+        }
 
-template <>
-std::u16string NDArray::e(const Nd4jLong i) const {
+        NDArray::preparePrimaryUse({}, { this });
 
-    if (!isS())
-        throw std::runtime_error("Can't get std::u16string out of non-string array");
+        auto offsets = bufferAsT();
+        Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
+        Nd4jLong start = offsets[i];
+        Nd4jLong end = offsets[i + 1];
 
-    if(i == lengthOf())
-        throw std::runtime_error("Can't get std::u16string for index out of range");
+        auto data = bufferAsT() + offsetsLength + start;
 
-    if (this->dataType() == DataType::UTF8) {
-        auto u = this->e(i);
-        std::u16string s;
-        StringUtils::u8StringToU16String(u, s);
-        return s;
+        std::u32string r(reinterpret_cast(data), (end - start) / sizeof(char32_t));
+
+        registerPrimaryUse({}, { this });
+
+        return r;
     }
 
-    if (this->dataType() == DataType::UTF32) {
-        auto u32 = this->e(i);
-        std::u16string s;
-        StringUtils::u32StringToU16String(u32, s);
-        return s;
-    }
-
-    NDArray::preparePrimaryUse({}, { this });
-
-    auto offsets = bufferAsT();
-    Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
-    Nd4jLong start = offsets[i];
-    Nd4jLong end = offsets[i + 1];
-    auto data = bufferAsT() + offsetsLength + start;
-
-    std::u16string r(reinterpret_cast(data), (end - start) / sizeof(char16_t));
-
-    registerPrimaryUse({}, { this });
-
-    return r;
-}
-
-template <>
-std::u32string NDArray::e(const Nd4jLong i) const {
-
-    if (!isS())
-        throw std::runtime_error("Can't get std::u32string out of non-string array");
-
-    if (i == lengthOf())
-        throw std::runtime_error("Can't get std::u32string for index out of range");
-
-    if (this->dataType() == DataType::UTF8) {
-        auto u = this->e(i);
-        std::u32string s;
-        StringUtils::u8StringToU32String(u, s);
-        return s;
-    }
-
-    if (this->dataType() == DataType::UTF16) {
-        auto u16 = this->e(i);
-        std::u32string s;
-        StringUtils::u16StringToU32String(u16, s);
-        return s;
-    }
-
-    NDArray::preparePrimaryUse({}, { this });
-
-    auto offsets = bufferAsT();
-    Nd4jLong offsetsLength = ShapeUtils::stringBufferHeaderRequirements(lengthOf());
-    Nd4jLong start = offsets[i];
-    Nd4jLong end = offsets[i + 1];
-
-    auto data = bufferAsT() + offsetsLength + start;
-
-    std::u32string r(reinterpret_cast(data), (end - start) / sizeof(char32_t));
-
-    registerPrimaryUse({}, { this });
-
-    return r;
-}
-
 //////////////////////////////////////////////////////////////////////////
-template <>
-utf8string NDArray::e(const Nd4jLong i) const {
+    template <>
+    utf8string NDArray::e(const Nd4jLong i) const {
 
-    if (!isS())
-        throw std::runtime_error("This method is available for String arrays only");
+        if (!isS())
+            throw std::runtime_error("This method is available for String arrays only");
 
-    auto rp = getOffset(i);
+        auto rp = getOffset(i);
 
-    syncToHost();
-    tickReadHost();
+        syncToHost();
+        tickReadHost();
 
-    return *(reinterpret_cast(buffer())[rp]);
-}
+        return *(reinterpret_cast(buffer())[rp]);
+    }
 
 /////////////////////////////////////////////////////////////////////////
-template 
-T NDArray::e(const Nd4jLong i) const {
+    template 
+    T NDArray::e(const Nd4jLong i) const {
 
-    const auto rp = getOffset(i);
+        const auto rp = getOffset(i);
 
-    NDArray::preparePrimaryUse({}, {this});
-    NDArray::registerPrimaryUse({}, {this});
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), rp), LIBND4J_TYPES);
+        NDArray::preparePrimaryUse({}, {this});
+        NDArray::registerPrimaryUse({}, {this});
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), rp), LIBND4J_TYPES);
 
-}
-BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong) const, LIBND4J_TYPES);
+    }
+    BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong) const, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
 // Returns value from 2D matrix by coordinates/indexes
-template 
-T NDArray::e(const Nd4jLong i, const Nd4jLong j) const {
+    template 
+    T NDArray::e(const Nd4jLong i, const Nd4jLong j) const {
 
-    if (rankOf() != 2 || i >= shapeOf()[0] || j >= shapeOf()[1])
-        throw std::invalid_argument("NDArray::e(i,j): one of input indexes is out of array length or rank!=2 !");
+        if (rankOf() != 2 || i >= shapeOf()[0] || j >= shapeOf()[1])
+            throw std::invalid_argument("NDArray::e(i,j): one of input indexes is out of array length or rank!=2 !");
 
-    const auto xOffset = i * strideAt(0) + j * strideAt(1);
+        const auto xOffset = i * strideAt(0) + j * strideAt(1);
 
-    NDArray::preparePrimaryUse({}, {this});
-    NDArray::registerPrimaryUse({}, {this});
+        NDArray::preparePrimaryUse({}, {this});
+        NDArray::registerPrimaryUse({}, {this});
 
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), xOffset), LIBND4J_TYPES);
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), xOffset), LIBND4J_TYPES);
 
-    return static_cast(119);
-}
-BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong, const Nd4jLong) const, LIBND4J_TYPES);
+        return static_cast(119);
+    }
+    BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong, const Nd4jLong) const, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
 // returns value from 3D tensor by coordinates
-template 
-T NDArray::e(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const {
+    template 
+    T NDArray::e(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const {
 
-    if (rankOf() != 3 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2])
-        throw std::invalid_argument("NDArray::e(i,j,k): one of input indexes is out of array length or rank!=3 !");
+        if (rankOf() != 3 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2])
+            throw std::invalid_argument("NDArray::e(i,j,k): one of input indexes is out of array length or rank!=3 !");
 
-    const auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2);
+        const auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2);
 
-    NDArray::preparePrimaryUse({}, {this});
-    NDArray::registerPrimaryUse({}, {this});
+        NDArray::preparePrimaryUse({}, {this});
+        NDArray::registerPrimaryUse({}, {this});
 
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), xOffset), LIBND4J_TYPES);
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), xOffset), LIBND4J_TYPES);
 
-    return static_cast(119);
-}
-BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong, const Nd4jLong, const Nd4jLong) const, LIBND4J_TYPES);
+        return static_cast(119);
+    }
+    BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong, const Nd4jLong, const Nd4jLong) const, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
 // returns value from 3D tensor by coordinates
-template 
-T NDArray::e(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l) const {
+    template 
+    T NDArray::e(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l) const {
 
-    if (rankOf() != 4 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2] || l >= shapeOf()[3])
-        throw std::invalid_argument("NDArray::e(i,j,k,l): one of input indexes is out of array length or rank!=4 !");
+        if (rankOf() != 4 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2] || l >= shapeOf()[3])
+            throw std::invalid_argument("NDArray::e(i,j,k,l): one of input indexes is out of array length or rank!=4 !");
 
-    const auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2) + l * strideAt(3);
+        const auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2) + l * strideAt(3);
 
-    NDArray::preparePrimaryUse({}, {this});
-    NDArray::registerPrimaryUse({}, {this});
+        NDArray::preparePrimaryUse({}, {this});
+        NDArray::registerPrimaryUse({}, {this});
 
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), xOffset), LIBND4J_TYPES);
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), return templatedGet<, T>(buffer(), xOffset), LIBND4J_TYPES);
 
-    return static_cast(119);
-}
-BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong, const Nd4jLong, const Nd4jLong, const Nd4jLong) const, LIBND4J_TYPES);
+        return static_cast(119);
+    }
+    BUILD_SINGLE_UNCHAINED_TEMPLATE(template ND4J_EXPORT , NDArray::e(const Nd4jLong, const Nd4jLong, const Nd4jLong, const Nd4jLong) const, LIBND4J_TYPES);
 
 //////////////////////////////////////////////////////////////////////////
-NDArray NDArray::e(const Nd4jLong i) const {
+    NDArray NDArray::e(const Nd4jLong i) const {
 
-    const auto offset = getOffset(i);
+        const auto offset = getOffset(i);
 
-    NDArray scalar(dataType(), getContext());
+        NDArray scalar(dataType(), getContext());
 
-    scalar.copyBuffersContinuouslyFrom(*this, sizeOfT(), 0, bufferOffset() + offset);
+        scalar.copyBuffersContinuouslyFrom(*this, sizeOfT(), 0, bufferOffset() + offset);
 
-    return scalar;
-}
+        return scalar;
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // perform array transformation
-void NDArray::applyTransform(sd::transform::FloatOps op, NDArray& target, ExtraArguments *extraParams) {
+    void NDArray::applyTransform(sd::transform::FloatOps op, NDArray& target, ExtraArguments *extraParams) {
 
-    if (isS())
-        throw std::runtime_error("NDArray::applyTransform FloatOps: you can't use this method on String array!");
+        if (isS())
+            throw std::runtime_error("NDArray::applyTransform FloatOps: you can't use this method on String array!");
 
-    if (!target.isR())
-        throw std::runtime_error("NDArray::applyTransform FloatOps: target array must have one of FLOAT types");
+        if (!target.isR())
+            throw std::runtime_error("NDArray::applyTransform FloatOps: target array must have one of FLOAT types");
 
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execTransformFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execTransformFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 ////////////////////////////////////////////////////////////////////////
-void NDArray::applyTransform(sd::transform::AnyOps op, NDArray& target, ExtraArguments *extraParams) {
+    void NDArray::applyTransform(sd::transform::AnyOps op, NDArray& target, ExtraArguments *extraParams) {
 
-    if (isS())
-        throw std::runtime_error("NDArray::applyTransform AnyOps: you can't use this method on String array!");
+        if (isS())
+            throw std::runtime_error("NDArray::applyTransform AnyOps: you can't use this method on String array!");
 
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execTransformAny(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execTransformAny(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 ////////////////////////////////////////////////////////////////////////
-void NDArray::applyTransform(sd::transform::SameOps op, NDArray& target, ExtraArguments *extraParams) {
+    void NDArray::applyTransform(sd::transform::SameOps op, NDArray& target, ExtraArguments *extraParams) {
 
-    if (isS())
-        throw std::runtime_error("NDArray::applyTransform SameOps: you can't use this method on String array!");
+        if (isS())
+            throw std::runtime_error("NDArray::applyTransform SameOps: you can't use this method on String array!");
 
-    if (target.dataType() != dataType())
-        throw std::runtime_error("NDArray::applyTransform SameOps: target array must have the same data type as original array");
+        if (target.dataType() != dataType())
+            throw std::runtime_error("NDArray::applyTransform SameOps: target array must have the same data type as original array");
 
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execTransformSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execTransformSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 ////////////////////////////////////////////////////////////////////////
-void NDArray::applyTransform(sd::transform::StrictOps op, NDArray& target, ExtraArguments *extraParams) {
-    if (isS())
-        throw std::runtime_error("NDArray::applyTransform StrictOps: you can't use this method on String array!");
+    void NDArray::applyTransform(sd::transform::StrictOps op, NDArray& target, ExtraArguments *extraParams) {
+        if (isS())
+            throw std::runtime_error("NDArray::applyTransform StrictOps: you can't use this method on String array!");
 
-    if (!this->isR() || !target.isR() || (this->dataType() != target.dataType()))
-        throw std::runtime_error("NDArray::applyTransform StrictOps: both Source and Target array must have same FLOAT type !");
+        if (!this->isR() || !target.isR() || (this->dataType() != target.dataType()))
+            throw std::runtime_error("NDArray::applyTransform StrictOps: both Source and Target array must have same FLOAT type !");
 
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execTransformStrict(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execTransformStrict(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 ////////////////////////////////////////////////////////////////////////
-void NDArray::applyTransform(sd::transform::BoolOps op, NDArray& target, ExtraArguments *extraParams) {
-    if (isS())
-        throw std::runtime_error("NDArray::applyTransform BoolOps: you can't use this method on String array!");
+    void NDArray::applyTransform(sd::transform::BoolOps op, NDArray& target, ExtraArguments *extraParams) {
+        if (isS())
+            throw std::runtime_error("NDArray::applyTransform BoolOps: you can't use this method on String array!");
 
-    if (!target.isB())
-        throw std::runtime_error("NDArray::applyTransform BoolOps: target array must have one of BOOL types");
+        if (!target.isB())
+            throw std::runtime_error("NDArray::applyTransform BoolOps: target array must have one of BOOL types");
 
-    NDArray::prepareSpecialUse({&target}, {this});
-    NativeOpExecutioner::execTransformBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        NDArray::prepareSpecialUse({&target}, {this});
+        NativeOpExecutioner::execTransformBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()) : nullptr, nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::FloatOps op, void *extraParams) const & {
-    if (isS())
-        throw std::runtime_error("NDArray::transform FloatOps: you can't use this method on String array!");
+    NDArray NDArray::transform(sd::transform::FloatOps op, void *extraParams) const & {
+        if (isS())
+            throw std::runtime_error("NDArray::transform FloatOps: you can't use this method on String array!");
 
-    NDArray result(ordering(), getShapeAsVector(), DataTypeUtils::pickFloatingType(dataType()), getContext());
+        NDArray result(ordering(), getShapeAsVector(), DataTypeUtils::pickFloatingType(dataType()), getContext());
 
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execTransformFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({&result}, {this});
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execTransformFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({&result}, {this});
 
-    return result;
-}
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::FloatOps op, void *extraParams) && {
-    if (isS())
-        throw std::runtime_error("NDArray::transform SameOps: you can't use this method on String array!");
+    NDArray NDArray::transform(sd::transform::FloatOps op, void *extraParams) && {
+        if (isS())
+            throw std::runtime_error("NDArray::transform SameOps: you can't use this method on String array!");
 
-    NDArray::prepareSpecialUse({this}, {this});
-    NativeOpExecutioner::execTransformFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {this});
+        NDArray::prepareSpecialUse({this}, {this});
+        NativeOpExecutioner::execTransformFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {this});
 
-    return std::move(*this);
-}
+        return std::move(*this);
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::SameOps op, void *extraParams) const & {
-    if (isS())
-        throw std::runtime_error("NDArray::transform SameOps: you can't use this method on String array!");
+    NDArray NDArray::transform(sd::transform::SameOps op, void *extraParams) const & {
+        if (isS())
+            throw std::runtime_error("NDArray::transform SameOps: you can't use this method on String array!");
 
-    NDArray result(shapeInfo(), false, getContext());
+        NDArray result(shapeInfo(), false, getContext());
 
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execTransformSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({&result}, {this});
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execTransformSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({&result}, {this});
 
-    return result;
-}
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::SameOps op, void *extraParams) && {
-    if (isS())
-        throw std::runtime_error("NDArray::transform SameOps: you can't use this method on String array!");
+    NDArray NDArray::transform(sd::transform::SameOps op, void *extraParams) && {
+        if (isS())
+            throw std::runtime_error("NDArray::transform SameOps: you can't use this method on String array!");
 
-    NDArray::prepareSpecialUse({this}, {this});
-    NativeOpExecutioner::execTransformSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {this});
+        NDArray::prepareSpecialUse({this}, {this});
+        NativeOpExecutioner::execTransformSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {this});
 
-    return std::move(*this);
-}
+        return std::move(*this);
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::StrictOps op, void *extraParams) const & {
-    if (!this->isR())
-        throw std::runtime_error("Source array must have one of FLOAT types");
+    NDArray NDArray::transform(sd::transform::StrictOps op, void *extraParams) const & {
+        if (!this->isR())
+            throw std::runtime_error("Source array must have one of FLOAT types");
 
-    NDArray result(shapeInfo(), false, getContext());
+        NDArray result(shapeInfo(), false, getContext());
 
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execTransformStrict(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({&result}, {this});
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execTransformStrict(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({&result}, {this});
 
-    return result;
-}
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::StrictOps op, void *extraParams) && {
-    if (!this->isR())
-        throw std::runtime_error("Source array must have one of FLOAT types");
+    NDArray NDArray::transform(sd::transform::StrictOps op, void *extraParams) && {
+        if (!this->isR())
+            throw std::runtime_error("Source array must have one of FLOAT types");
 
-    NDArray::prepareSpecialUse({this}, {this});
-    NativeOpExecutioner::execTransformStrict(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {this});
+        NDArray::prepareSpecialUse({this}, {this});
+        NativeOpExecutioner::execTransformStrict(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {this});
 
-    return std::move(*this);
-}
+        return std::move(*this);
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::BoolOps op, void *extraParams) const & {
-    if (isS())
-        throw std::runtime_error("NDArray::transform BoolOps: you can't use this method on String array!");
+    NDArray NDArray::transform(sd::transform::BoolOps op, void *extraParams) const & {
+        if (isS())
+            throw std::runtime_error("NDArray::transform BoolOps: you can't use this method on String array!");
 
-    NDArray result(ordering(), getShapeAsVector(), sd::DataType::BOOL, getContext());
+        NDArray result(ordering(), getShapeAsVector(), sd::DataType::BOOL, getContext());
 
-    NDArray::prepareSpecialUse({&result}, {this});
-    NativeOpExecutioner::execTransformBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({&result}, {this});
+        NDArray::prepareSpecialUse({&result}, {this});
+        NativeOpExecutioner::execTransformBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({&result}, {this});
 
-    return result;
-}
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::transform(sd::transform::BoolOps op, void *extraParams) && {
-    if (isS())
-        throw std::runtime_error("NDArray::transform BoolOps: you can't use this method on String array!");
+    NDArray NDArray::transform(sd::transform::BoolOps op, void *extraParams) && {
+        if (isS())
+            throw std::runtime_error("NDArray::transform BoolOps: you can't use this method on String array!");
 
-    NDArray::prepareSpecialUse({this}, {this});
-    NativeOpExecutioner::execTransformBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {this});
+        NDArray::prepareSpecialUse({this}, {this});
+        NativeOpExecutioner::execTransformBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), extraParams, nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {this});
 
-    return std::move(*this);
-}
+        return std::move(*this);
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::applyScalarArr(sd::scalar::Ops op, const NDArray& scalar, NDArray& target, ExtraArguments *extraParams) {
-    if (isS())
-        throw std::runtime_error("NDArray::applyScalarArr: you can't use this method on String array!");
-    if (scalar.lengthOf() != 1)
-        throw std::invalid_argument("NDArray::applyScalarArr method: operand is not a scalar!");
+    void NDArray::applyScalarArr(sd::scalar::Ops op, const NDArray& scalar, NDArray& target, ExtraArguments *extraParams) {
+        if (isS())
+            throw std::runtime_error("NDArray::applyScalarArr: you can't use this method on String array!");
+        if (scalar.lengthOf() != 1)
+            throw std::invalid_argument("NDArray::applyScalarArr method: operand is not a scalar!");
 
-    if(target.dataType() != DataTypeUtils::pickPairwiseResultType(shapeInfo(), scalar.shapeInfo()) && !(target.dataType() == dataType() || target.dataType() == scalar.dataType()))
-        throw std::invalid_argument("NDArray::applyScalarArr method: wrong type of target array!");
+        if(target.dataType() != DataTypeUtils::pickPairwiseResultType(shapeInfo(), scalar.shapeInfo()) && !(target.dataType() == dataType() || target.dataType() == scalar.dataType()))
+            throw std::invalid_argument("NDArray::applyScalarArr method: wrong type of target array!");
 
-    NDArray::prepareSpecialUse({&target}, {this, &scalar});
-    NativeOpExecutioner::execScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), scalar.buffer(), scalar.shapeInfo(), scalar.specialBuffer(), scalar.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()): nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &scalar});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &scalar});
+        NativeOpExecutioner::execScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), scalar.buffer(), scalar.shapeInfo(), scalar.specialBuffer(), scalar.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()): nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &scalar});
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::applyScalarArr(sd::scalar::BoolOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::applyScalarArr BoolOps: you can't use this method on String array!");
-    if (!target.isB())
-        throw std::invalid_argument("NDArray::applyScalarArr bool method: target has not bool type!");
-    if (dataType() != scalar.dataType()) {
-        nd4j_printf("NDArray::applyScalarArr BoolOps: this dtype: [%i]; scalar dtype: [%i]\n", this->dataType(), scalar.dataType());
-        throw std::invalid_argument("NDArray::applyScalarArr bool method: this and scalar arrays must have the same type!");
-    }
+    void NDArray::applyScalarArr(sd::scalar::BoolOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::applyScalarArr BoolOps: you can't use this method on String array!");
+        if (!target.isB())
+            throw std::invalid_argument("NDArray::applyScalarArr bool method: target has not bool type!");
+        if (dataType() != scalar.dataType()) {
+            nd4j_printf("NDArray::applyScalarArr BoolOps: this dtype: [%i]; scalar dtype: [%i]\n", this->dataType(), scalar.dataType());
+            throw std::invalid_argument("NDArray::applyScalarArr bool method: this and scalar arrays must have the same type!");
+        }
 
-    NDArray::prepareSpecialUse({&target}, {this, &scalar});
-    NativeOpExecutioner::execScalarBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), scalar.buffer(), scalar.shapeInfo(), scalar.specialBuffer(), scalar.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()): nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &scalar});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &scalar});
+        NativeOpExecutioner::execScalarBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), scalar.buffer(), scalar.shapeInfo(), scalar.specialBuffer(), scalar.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()): nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &scalar});
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::applyScalarArr(sd::scalar::IntOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::applyScalarArr IntOps: you can't use this method on String array!");
+    void NDArray::applyScalarArr(sd::scalar::IntOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::applyScalarArr IntOps: you can't use this method on String array!");
 
-    if (target.dataType() != this->dataType())
-        throw std::invalid_argument("NDArray::applyScalarArr int method: target has not bool type!");
-    if (dataType() != scalar.dataType()) {
-        nd4j_printf("NDArray::applyScalarArr IntOps: this dtype: [%i]; scalar dtype: [%i]\n", this->dataType(), scalar.dataType());
-        throw std::invalid_argument("NDArray::applyScalarArr int method: this and scalar arrays must have the same type!");
+        if (target.dataType() != this->dataType())
+            throw std::invalid_argument("NDArray::applyScalarArr int method: target has not bool type!");
+        if (dataType() != scalar.dataType()) {
+            nd4j_printf("NDArray::applyScalarArr IntOps: this dtype: [%i]; scalar dtype: [%i]\n", this->dataType(), scalar.dataType());
+            throw std::invalid_argument("NDArray::applyScalarArr int method: this and scalar arrays must have the same type!");
+        }
+
+        NDArray::prepareSpecialUse({&target}, {this, &scalar});
+        NativeOpExecutioner::execScalarInt(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), scalar.buffer(), scalar.shapeInfo(), scalar.specialBuffer(), scalar.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()): nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &scalar});
     }
 
-    NDArray::prepareSpecialUse({&target}, {this, &scalar});
-    NativeOpExecutioner::execScalarInt(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), scalar.buffer(), scalar.shapeInfo(), scalar.specialBuffer(), scalar.specialShapeInfo(), extraParams != nullptr ? extraParams->argumentsAsT(target.dataType()): nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &scalar});
-}
-
 ////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::applyScalar(sd::scalar::IntOps op, const T scalar, NDArray& target, ExtraArguments *extraParams) const {
+    template 
+    void NDArray::applyScalar(sd::scalar::IntOps op, const T scalar, NDArray& target, ExtraArguments *extraParams) const {
 
-    NDArray scalarArr = NDArrayFactory::create(this->dataType(), scalar, getContext());
-    applyScalarArr(op, scalarArr, target, extraParams);
-}
-
-template <> ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const { throw std::runtime_error("NDArray::applyScalar method: do not use me!");}
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const double scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const float scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const float16 scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const bfloat16 scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const Nd4jLong scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const int scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const int16_t scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const int8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const uint8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const bool scalar, NDArray &target, ExtraArguments *extraParams) const;
-
-////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::applyScalar(sd::scalar::Ops op, const T scalar, NDArray& target, ExtraArguments *extraParams) {
-
-    auto scalarArr = NDArrayFactory::create(dataType(), scalar, this->getContext());
-    applyScalarArr(op, scalarArr, target, extraParams);
-}
-template <> ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) { throw std::runtime_error("NDArray::applyScalar method: do not use me!");}
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const double scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const float scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const float16 scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const bfloat16 scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const Nd4jLong scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const int scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const int16_t scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const int8_t scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const uint8_t scalar, NDArray &target, ExtraArguments *extraParams);
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const bool scalar, NDArray &target, ExtraArguments *extraParams);
-
-////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::applyScalar(sd::scalar::BoolOps op, const T scalar, NDArray &target, ExtraArguments *extraParams) const {
-
-    NDArray scalarArr = NDArrayFactory::create(scalar, getContext());
-    applyScalarArr(op, scalarArr, target, extraParams);
-}
-
-template <> ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const { throw std::runtime_error("NDArray::applyScalar method: do not use me!");}
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const double scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const float scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const float16 scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const bfloat16 scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const Nd4jLong scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const int scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const int16_t scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const int8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const uint8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
-template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const bool scalar, NDArray &target, ExtraArguments *extraParams) const;
-
-////////////////////////////////////////////////////////////////////////
-void NDArray::applyIndexReduce(sd::indexreduce::Ops op, NDArray& target, const std::vector& dimensions, const ExtraArguments *extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::applyIndexReduce: you can't use this method on String array!");
-
-    if (target.dataType() != sd::DataType::INT64 && target.dataType() != sd::DataType::INT32)
-        throw std::runtime_error("NDArray::applyIndexReduce operations return INT32/INT64");
-
-    void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(this->dataType()) : nullptr;
-
-    NDArray::prepareSpecialUse({&target}, {this});
-
-    if (target.lengthOf() == 1) {
-        NativeOpExecutioner::execIndexReduceScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    }
-    else {
-        std::vector copy = dimensions;
-        shape::checkDimensions(rankOf(), copy);
-        auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
-        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), copy);
-        NativeOpExecutioner::execIndexReduce(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), pDims, copy.size(), packX.platformShapeInfo(), packX.platformOffsets());
-        synchronize("NDArray::applyIndexReduce");
+        NDArray scalarArr = NDArrayFactory::create(this->dataType(), scalar, getContext());
+        applyScalarArr(op, scalarArr, target, extraParams);
     }
 
-    registerSpecialUse({&target}, {this});
-}
+    template <> ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const { throw std::runtime_error("NDArray::applyScalar method: do not use me!");}
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const double scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const float scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const float16 scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const bfloat16 scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const Nd4jLong scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const int scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const int16_t scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const int8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const uint8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::IntOps op, const bool scalar, NDArray &target, ExtraArguments *extraParams) const;
+
+////////////////////////////////////////////////////////////////////////
+    template 
+    void NDArray::applyScalar(sd::scalar::Ops op, const T scalar, NDArray& target, ExtraArguments *extraParams) {
+
+        auto scalarArr = NDArrayFactory::create(dataType(), scalar, this->getContext());
+        applyScalarArr(op, scalarArr, target, extraParams);
+    }
+    template <> ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) { throw std::runtime_error("NDArray::applyScalar method: do not use me!");}
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const double scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const float scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const float16 scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const bfloat16 scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const Nd4jLong scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const int scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const int16_t scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const int8_t scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const uint8_t scalar, NDArray &target, ExtraArguments *extraParams);
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::Ops op, const bool scalar, NDArray &target, ExtraArguments *extraParams);
+
+////////////////////////////////////////////////////////////////////////
+    template 
+    void NDArray::applyScalar(sd::scalar::BoolOps op, const T scalar, NDArray &target, ExtraArguments *extraParams) const {
+
+        NDArray scalarArr = NDArrayFactory::create(scalar, getContext());
+        applyScalarArr(op, scalarArr, target, extraParams);
+    }
+
+    template <> ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const NDArray& scalar, NDArray &target, ExtraArguments *extraParams) const { throw std::runtime_error("NDArray::applyScalar method: do not use me!");}
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const double scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const float scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const float16 scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const bfloat16 scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const Nd4jLong scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const int scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const int16_t scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const int8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const uint8_t scalar, NDArray &target, ExtraArguments *extraParams) const;
+    template ND4J_EXPORT void NDArray::applyScalar(sd::scalar::BoolOps op, const bool scalar, NDArray &target, ExtraArguments *extraParams) const;
+
+////////////////////////////////////////////////////////////////////////
+    void NDArray::applyIndexReduce(sd::indexreduce::Ops op, NDArray& target, const std::vector& dimensions, const ExtraArguments *extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::applyIndexReduce: you can't use this method on String array!");
+
+        if (target.dataType() != sd::DataType::INT64 && target.dataType() != sd::DataType::INT32)
+            throw std::runtime_error("NDArray::applyIndexReduce operations return INT32/INT64");
+
+        void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(this->dataType()) : nullptr;
+
+        NDArray::prepareSpecialUse({&target}, {this});
+
+        if (target.lengthOf() == 1) {
+            NativeOpExecutioner::execIndexReduceScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        }
+        else {
+            std::vector copy = dimensions;
+            shape::checkDimensions(rankOf(), copy);
+            auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
+            auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), copy);
+            NativeOpExecutioner::execIndexReduce(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), pDims, copy.size(), packX.platformShapeInfo(), packX.platformOffsets());
+            synchronize("NDArray::applyIndexReduce");
+        }
+
+        registerSpecialUse({&target}, {this});
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // reduce dimensions in this array relying on index operations
-NDArray NDArray::applyIndexReduce(sd::indexreduce::Ops op, const std::vector& dimensions, const ExtraArguments* extraParams ) const {
+    NDArray NDArray::applyIndexReduce(sd::indexreduce::Ops op, const std::vector& dimensions, const ExtraArguments* extraParams ) const {
 
-    std::vector copy = dimensions;
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataType::INT64, false, false, getContext()->getWorkspace());
-    NDArray result(newShape, true, getContext());
+        std::vector copy = dimensions;
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataType::INT64, false, false, getContext()->getWorkspace());
+        NDArray result(newShape, true, getContext());
 
-    applyIndexReduce(op, result, copy, extraParams);
+        applyIndexReduce(op, result, copy, extraParams);
 
-    return result;
-}
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // apply reduce3 operations to this and other array, return result in new output array
-NDArray NDArray::applyReduce3(sd::reduce3::Ops op, const NDArray& other, const ExtraArguments* extraParams) const {
+    NDArray NDArray::applyReduce3(sd::reduce3::Ops op, const NDArray& other, const ExtraArguments* extraParams) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::applyReduce3 method: you can't use this method on String array!");
-    if(dataType() != other.dataType())
-        throw std::runtime_error("NDArray::applyReduce3 method: the types of this and other arrays must be the same !");
-    // check shapes consistency
-    if(!isSameShape(other))
-        throw std::runtime_error("NDArray::applyReduce3 method: the shapes of this and other arrays must be the same !");
-    // create shapeInfo for scalar
-    auto newShape = ShapeBuilders::createScalarShapeInfo(DataTypeUtils::pickFloatingType(dataType()), getContext()->getWorkspace());
-    // create output array (scalar)
-    NDArray result(newShape, true, getContext());
-    RELEASE(newShape, getContext()->getWorkspace());
-    // create dynamic array of extra parameters if array extraParams is empty (==nullptr)
-    void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(dataType()) : nullptr;
+        if (isS())
+            throw std::runtime_error("NDArray::applyReduce3 method: you can't use this method on String array!");
+        if(dataType() != other.dataType())
+            throw std::runtime_error("NDArray::applyReduce3 method: the types of this and other arrays must be the same !");
+        // check shapes consistency
+        if(!isSameShape(other))
+            throw std::runtime_error("NDArray::applyReduce3 method: the shapes of this and other arrays must be the same !");
+        // create shapeInfo for scalar
+        auto newShape = ShapeBuilders::createScalarShapeInfo(DataTypeUtils::pickFloatingType(dataType()), getContext()->getWorkspace());
+        // create output array (scalar)
+        NDArray result(newShape, true, getContext());
+        RELEASE(newShape, getContext()->getWorkspace());
+        // create dynamic array of extra parameters if array extraParams is empty (==nullptr)
+        void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(dataType()) : nullptr;
 
-    NDArray::prepareSpecialUse({&result}, {this, &other});
-    NativeOpExecutioner::execReduce3Scalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
-    NDArray::registerSpecialUse({&result}, {this, &other});
+        NDArray::prepareSpecialUse({&result}, {this, &other});
+        NativeOpExecutioner::execReduce3Scalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        NDArray::registerSpecialUse({&result}, {this, &other});
 
-    return result;
-}
+        return result;
+    }
 
 ////////////////////////////////////////////////////////////////////////
 // apply reduce3 (exec) operations to this and other array, return result in new output array
-NDArray NDArray::applyReduce3(sd::reduce3::Ops op, const NDArray& other, const std::vector& dimensions, const ExtraArguments* extraParams) const {
+    NDArray NDArray::applyReduce3(sd::reduce3::Ops op, const NDArray& other, const std::vector& dimensions, const ExtraArguments* extraParams) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::applyReduce3: you can't use this method on String array!");
-    if(dataType() != other.dataType())
-        throw std::runtime_error("NDArray::applyReduce3 method: the types of this and other arrays must be the same !");
+        if (isS())
+            throw std::runtime_error("NDArray::applyReduce3: you can't use this method on String array!");
+        if(dataType() != other.dataType())
+            throw std::runtime_error("NDArray::applyReduce3 method: the types of this and other arrays must be the same !");
 
-    std::vector copy(dimensions);
-    shape::checkDimensions(rankOf(), copy);
-    shape::checkDimensions(other.rankOf(), copy);
+        std::vector copy(dimensions);
+        shape::checkDimensions(rankOf(), copy);
+        shape::checkDimensions(other.rankOf(), copy);
 
-    auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataTypeUtils::pickFloatingType(dataType()), false, false, getContext()->getWorkspace());
-    NDArray result(newShape, true, getContext());
-    // create temporary dynamic array of extra parameters if array extraParams is empty (==nullptr)
-    void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(dataType()) : nullptr;
+        auto newShape = ShapeUtils::evalReduceShapeInfo('c', copy, *this, DataTypeUtils::pickFloatingType(dataType()), false, false, getContext()->getWorkspace());
+        NDArray result(newShape, true, getContext());
+        // create temporary dynamic array of extra parameters if array extraParams is empty (==nullptr)
+        void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(dataType()) : nullptr;
 
-    NDArray::prepareSpecialUse({&result}, {this, &other});
+        NDArray::prepareSpecialUse({&result}, {this, &other});
 
-    // perform calculations
-    if(rankOf() == copy.size() && other.rankOf() == copy.size()) {
-        NativeOpExecutioner::execReduce3Scalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        // perform calculations
+        if(rankOf() == copy.size() && other.rankOf() == copy.size()) {
+            NativeOpExecutioner::execReduce3Scalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo());
+        }
+        else {
+
+            auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
+
+            auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), copy);
+            auto packY = sd::ConstantTadHelper::getInstance().tadForDimensions(other.shapeInfo(), copy);
+
+            if(!shape::equalsSoft(packX.primaryShapeInfo(), packY.primaryShapeInfo()) || (packX.numberOfTads() != packY.numberOfTads() && packX.numberOfTads() != 1 && packY.numberOfTads() != 1))
+                throw std::runtime_error("NDArray::applyReduce3 cuda method: arrays tads are inconsistent !");
+
+            NativeOpExecutioner::execReduce3(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), pDims, copy.size(), packX.platformShapeInfo(), packX.platformOffsets(), packY.platformShapeInfo(), packY.platformOffsets());
+        }
+
+        registerSpecialUse({&result}, {this, &other});
+
+        return result;
     }
-    else {
-
-        auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
-
-        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), copy);
-        auto packY = sd::ConstantTadHelper::getInstance().tadForDimensions(other.shapeInfo(), copy);
-
-        if(!shape::equalsSoft(packX.primaryShapeInfo(), packY.primaryShapeInfo()) || (packX.numberOfTads() != packY.numberOfTads() && packX.numberOfTads() != 1 && packY.numberOfTads() != 1))
-            throw std::runtime_error("NDArray::applyReduce3 cuda method: arrays tads are inconsistent !");
-
-        NativeOpExecutioner::execReduce3(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), pDims, copy.size(), packX.platformShapeInfo(), packX.platformOffsets(), packY.platformShapeInfo(), packY.platformOffsets());
-    }
-
-    registerSpecialUse({&result}, {this, &other});
-
-    return result;
-}
 
 ////////////////////////////////////////////////////////////////////////
 // apply reduce3 (execAll) operations to this and other array, return result in new output array
-NDArray NDArray::applyAllReduce3(sd::reduce3::Ops op, const NDArray& other, const std::vector& dimensions, const ExtraArguments* extraParams) const {
-    if (isS())
-        throw std::runtime_error("NDArray::applyAllReduce3: you can't use this method on String array!");
-    if(dataType() != other.dataType())
-        throw std::runtime_error("NDArray::applyAllReduce3 method: the types of this and other arrays must be the same !");
+    NDArray NDArray::applyAllReduce3(sd::reduce3::Ops op, const NDArray& other, const std::vector& dimensions, const ExtraArguments* extraParams) const {
+        if (isS())
+            throw std::runtime_error("NDArray::applyAllReduce3: you can't use this method on String array!");
+        if(dataType() != other.dataType())
+            throw std::runtime_error("NDArray::applyAllReduce3 method: the types of this and other arrays must be the same !");
 
-    // be careful, copy array may undergo changes (sort, transformation of negative dimensions to positive, duplicates removing )
-    std::vector copy(dimensions);
-    shape::checkDimensions(rankOf(), copy);
-    shape::checkDimensions(other.rankOf(), copy);
+        // be careful, copy array may undergo changes (sort, transformation of negative dimensions to positive, duplicates removing )
+        std::vector copy(dimensions);
+        shape::checkDimensions(rankOf(), copy);
+        shape::checkDimensions(other.rankOf(), copy);
 
-    auto packX = ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), copy);
-    auto packY = ConstantTadHelper::getInstance().tadForDimensions(other.shapeInfo(), copy);
+        auto packX = ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), copy);
+        auto packY = ConstantTadHelper::getInstance().tadForDimensions(other.shapeInfo(), copy);
 
-    // check tads shapes
-    if(!shape::equalsSoft(packX.primaryShapeInfo(), packY.primaryShapeInfo()))
-        throw std::runtime_error("NDArray::applyAllReduce3 method: the shapes of array tads are different !");
+        // check tads shapes
+        if(!shape::equalsSoft(packX.primaryShapeInfo(), packY.primaryShapeInfo()))
+            throw std::runtime_error("NDArray::applyAllReduce3 method: the shapes of array tads are different !");
 
-    // set newShape for output array
-    auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(DataTypeUtils::pickFloatingType(dataType()), 'c', {packX.numberOfTads(), packY.numberOfTads()});
+        // set newShape for output array
+        auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(DataTypeUtils::pickFloatingType(dataType()), 'c', {packX.numberOfTads(), packY.numberOfTads()});
 
-    // create output array
-    NDArray result(newShape, true, getContext());
+        // create output array
+        NDArray result(newShape, true, getContext());
 
-    // create dynamic array of extra parameters if array extraParams is empty (==nullptr)
-    void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(dataType()) : nullptr;
+        // create dynamic array of extra parameters if array extraParams is empty (==nullptr)
+        void* params = extraParams != nullptr ? const_cast(extraParams)->argumentsAsT(dataType()) : nullptr;
 
-    auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
+        auto pDims = sd::Environment::getInstance().isCPU() ? copy.data() : nullptr;
 
-    NDArray::prepareSpecialUse({&result}, {this, &other});
-    NativeOpExecutioner::execReduce3All(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), pDims, copy.size(), packX.platformShapeInfo(), packX.platformOffsets(), packY.platformShapeInfo(), packY.platformOffsets());
-    NDArray::registerSpecialUse({&result}, {this, &other});
+        NDArray::prepareSpecialUse({&result}, {this, &other});
+        NativeOpExecutioner::execReduce3All(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), params, other.buffer(), other.shapeInfo(), other.specialBuffer(), other.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), pDims, copy.size(), packX.platformShapeInfo(), packX.platformOffsets(), packY.platformShapeInfo(), packY.platformOffsets());
+        NDArray::registerSpecialUse({&result}, {this, &other});
 
-    return result;
-}
+        return result;
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // method reduces array by excluding its shapes along axes present in dimensions vector
-void NDArray::reduceAlongDimension(sd::reduce::FloatOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
+    void NDArray::reduceAlongDimension(sd::reduce::FloatOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::reduceAlongDimension FloatOps: you can't use this method on String array!");
-    if (!target.isR())
-        throw std::invalid_argument("NDArray::reduceAlongDimension FloatOps: requires target array to be present and have type form real space!");
+        if (isS())
+            throw std::runtime_error("NDArray::reduceAlongDimension FloatOps: you can't use this method on String array!");
+        if (!target.isR())
+            throw std::invalid_argument("NDArray::reduceAlongDimension FloatOps: requires target array to be present and have type form real space!");
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    if(checkTargetShape) {
-        auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
-        if(!shape::shapeEquals(newShape, target.shapeInfo()))
-            throw std::runtime_error("NDArray::reduceAlongDimension FloatOps: wrong target shape!");
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this});
-
-    if(rankOf() == copy.size() || copy.empty()) {
-        NativeOpExecutioner::execReduceFloatScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(),nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    }
-    else {
-        const Nd4jLong* zShapeInfoH = target.shapeInfo();
-        const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
-
-        if(rankOf() - dimensions.size() != target.rankOf()) {
-            auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
-            zShapeInfoH = reinterpret_cast(zPack.primary());
-            zShapeInfoD = reinterpret_cast(zPack.special());
+        if(checkTargetShape) {
+            auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
+            if(!shape::shapeEquals(newShape, target.shapeInfo()))
+                throw std::runtime_error("NDArray::reduceAlongDimension FloatOps: wrong target shape!");
         }
 
-        std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
-        NativeOpExecutioner::execReduceFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
+        NDArray::prepareSpecialUse({&target}, {this});
 
+        if(rankOf() == copy.size() || copy.empty()) {
+            NativeOpExecutioner::execReduceFloatScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(),nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        }
+        else {
+            const Nd4jLong* zShapeInfoH = target.shapeInfo();
+            const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
+
+            if(rankOf() - dimensions.size() != target.rankOf()) {
+                auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
+                zShapeInfoH = reinterpret_cast(zPack.primary());
+                zShapeInfoD = reinterpret_cast(zPack.special());
+            }
+
+            std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
+            NativeOpExecutioner::execReduceFloat(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
+
+        }
+        synchronize("NDArray::reduceAlongDimension FloatOps");
+
+        NDArray::registerSpecialUse({&target}, {this});
     }
-    synchronize("NDArray::reduceAlongDimension FloatOps");
-
-    NDArray::registerSpecialUse({&target}, {this});
-}
 
 //////////////////////////////////////////////////////////////////////////
 // method reduces array by excluding its shapes along axes present in dimensions vector
-void NDArray::reduceAlongDimension(sd::reduce::SameOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
+    void NDArray::reduceAlongDimension(sd::reduce::SameOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::reduceAlongDimension SameOps: you can't use this method on String array!");
-    if (target.dataType() != dataType())
-        throw std::runtime_error("NDArray::reduceAlongDimension SameOps: requires target array to be present and have same dtype as input");
+        if (isS())
+            throw std::runtime_error("NDArray::reduceAlongDimension SameOps: you can't use this method on String array!");
+        if (target.dataType() != dataType())
+            throw std::runtime_error("NDArray::reduceAlongDimension SameOps: requires target array to be present and have same dtype as input");
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    if(checkTargetShape) {
-        auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
-        if(!shape::shapeEquals(newShape, target.shapeInfo()))
-            throw std::runtime_error("NDArray::reduceAlongDimension SameOps: wrong target shape!");
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this});
-
-    if(rankOf() == copy.size() || copy.empty()) {
-        NativeOpExecutioner::execReduceSameScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    }
-    else {
-
-        const Nd4jLong* zShapeInfoH = target.shapeInfo();
-        const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
-
-        if(rankOf() - dimensions.size() != target.rankOf()) {
-            auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
-            zShapeInfoH = reinterpret_cast(zPack.primary());
-            zShapeInfoD = reinterpret_cast(zPack.special());
+        if(checkTargetShape) {
+            auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
+            if(!shape::shapeEquals(newShape, target.shapeInfo()))
+                throw std::runtime_error("NDArray::reduceAlongDimension SameOps: wrong target shape!");
         }
 
-        std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
-        NativeOpExecutioner::execReduceSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
-    }
-    synchronize("NDArray::reduceAlongDimension SameOps");
+        NDArray::prepareSpecialUse({&target}, {this});
 
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        if(rankOf() == copy.size() || copy.empty()) {
+            NativeOpExecutioner::execReduceSameScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        }
+        else {
+
+            const Nd4jLong* zShapeInfoH = target.shapeInfo();
+            const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
+
+            if(rankOf() - dimensions.size() != target.rankOf()) {
+                auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
+                zShapeInfoH = reinterpret_cast(zPack.primary());
+                zShapeInfoD = reinterpret_cast(zPack.special());
+            }
+
+            std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
+            NativeOpExecutioner::execReduceSame(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
+        }
+        synchronize("NDArray::reduceAlongDimension SameOps");
+
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // method reduces array by excluding its shapes along axes present in dimensions vector
-void NDArray::reduceAlongDimension(sd::reduce::LongOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
+    void NDArray::reduceAlongDimension(sd::reduce::LongOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::reduceAlongDimension LongOps: you can't use this method on String array!");
-    if (target.dataType() != DataType::INT64)
-        throw std::runtime_error("NDArray::reduceAlongDimension LongOps: requires target array to be present and have type of INT64");
+        if (isS())
+            throw std::runtime_error("NDArray::reduceAlongDimension LongOps: you can't use this method on String array!");
+        if (target.dataType() != DataType::INT64)
+            throw std::runtime_error("NDArray::reduceAlongDimension LongOps: requires target array to be present and have type of INT64");
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    if(checkTargetShape) {
-        auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
-        if(!shape::shapeEquals(newShape, target.shapeInfo()))
-            throw std::runtime_error("NDArray::reduceAlongDimension LongOps: wrong target shape!");
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this});
-
-    if(rankOf() == copy.size() || copy.empty()) {
-        NativeOpExecutioner::execReduceLongScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    }
-    else {
-        const Nd4jLong* zShapeInfoH = target.shapeInfo();
-        const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
-
-        if(rankOf() - dimensions.size() != target.rankOf()) {
-            auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
-            zShapeInfoH = reinterpret_cast(zPack.primary());
-            zShapeInfoD = reinterpret_cast(zPack.special());
+        if(checkTargetShape) {
+            auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
+            if(!shape::shapeEquals(newShape, target.shapeInfo()))
+                throw std::runtime_error("NDArray::reduceAlongDimension LongOps: wrong target shape!");
         }
 
-        std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
-        NativeOpExecutioner::execReduceLong(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
-    }
-    synchronize("NDArray::reduceAlongDimension LongOps");
+        NDArray::prepareSpecialUse({&target}, {this});
 
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        if(rankOf() == copy.size() || copy.empty()) {
+            NativeOpExecutioner::execReduceLongScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        }
+        else {
+            const Nd4jLong* zShapeInfoH = target.shapeInfo();
+            const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
+
+            if(rankOf() - dimensions.size() != target.rankOf()) {
+                auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
+                zShapeInfoH = reinterpret_cast(zPack.primary());
+                zShapeInfoD = reinterpret_cast(zPack.special());
+            }
+
+            std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
+            NativeOpExecutioner::execReduceLong(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
+        }
+        synchronize("NDArray::reduceAlongDimension LongOps");
+
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // method reduces array by excluding its shapes along axes present in dimensions vector
-void NDArray::reduceAlongDimension(sd::reduce::BoolOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
+    void NDArray::reduceAlongDimension(sd::reduce::BoolOps op, NDArray& target, const std::vector& dimensions, const bool keepDims, const bool checkTargetShape) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::reduceAlongDimension BoolOps cuda: you can't use this method on String array!");
-    if (!target.isB())
-        throw std::invalid_argument("NDArray::reduceAlongDimension BoolOps cuda: requires target array to be present and have BOOL type!");
+        if (isS())
+            throw std::runtime_error("NDArray::reduceAlongDimension BoolOps cuda: you can't use this method on String array!");
+        if (!target.isB())
+            throw std::invalid_argument("NDArray::reduceAlongDimension BoolOps cuda: requires target array to be present and have BOOL type!");
 
-    std::vector copy(dimensions);
+        std::vector copy(dimensions);
 
-    if(checkTargetShape) {
-        auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
-        if(!shape::shapeEquals(newShape, target.shapeInfo()))
-            throw std::runtime_error("NDArray::reduceAlongDimension BoolOps cuda: wrong target shape!");
-    }
-
-    NDArray::prepareSpecialUse({&target}, {this});
-
-    if(rankOf() == copy.size() || copy.empty()) {
-        NativeOpExecutioner::execReduceBoolScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
-    }
-    else {
-        const Nd4jLong* zShapeInfoH = target.shapeInfo();
-        const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
-
-        if(rankOf() - dimensions.size() != target.rankOf()) {
-            auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
-            zShapeInfoH = reinterpret_cast(zPack.primary());
-            zShapeInfoD = reinterpret_cast(zPack.special());
+        if(checkTargetShape) {
+            auto newShape = ShapeUtils::evalReduceShapeInfo(target.ordering(), copy, *this, keepDims, false, getContext()->getWorkspace());
+            if(!shape::shapeEquals(newShape, target.shapeInfo()))
+                throw std::runtime_error("NDArray::reduceAlongDimension BoolOps cuda: wrong target shape!");
         }
 
-        std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
-        NativeOpExecutioner::execReduceBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
-    }
-    synchronize("NDArray::reduceAlongDimension LongOps");
+        NDArray::prepareSpecialUse({&target}, {this});
 
-    NDArray::registerSpecialUse({&target}, {this});
-}
+        if(rankOf() == copy.size() || copy.empty()) {
+            NativeOpExecutioner::execReduceBoolScalar(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo());
+        }
+        else {
+            const Nd4jLong* zShapeInfoH = target.shapeInfo();
+            const Nd4jLong* zShapeInfoD = target.specialShapeInfo();
+
+            if(rankOf() - dimensions.size() != target.rankOf()) {
+                auto zPack = ConstantShapeHelper::getInstance().createShapeInfoWithNoUnitiesForReduce(target.shapeInfo(), copy, target.getContext()->getWorkspace());
+                zShapeInfoH = reinterpret_cast(zPack.primary());
+                zShapeInfoD = reinterpret_cast(zPack.special());
+            }
+
+            std::vector dims = ShapeUtils::evalDimsForReduceOp(rankOf(), copy);
+            NativeOpExecutioner::execReduceBool(getContext(), op, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), nullptr, target.buffer(), zShapeInfoH, target.specialBuffer(), zShapeInfoD, dims.data(), dims.size());
+        }
+        synchronize("NDArray::reduceAlongDimension LongOps");
+
+        NDArray::registerSpecialUse({&target}, {this});
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // This method sets value in linear buffer to position i
-template 
-void NDArray::p(const Nd4jLong i, const T value) {
+    template 
+    void NDArray::p(const Nd4jLong i, const T value) {
 
-    if (i >= lengthOf())
-        throw std::invalid_argument("NDArray::p(i, value): input index is out of array length !");
+        if (i >= lengthOf())
+            throw std::invalid_argument("NDArray::p(i, value): input index is out of array length !");
 
-    auto rp = getOffset(i);
-    const void *pV = reinterpret_cast(const_cast(&value));
+        auto rp = getOffset(i);
+        const void *pV = reinterpret_cast(const_cast(&value));
 
-    NDArray::preparePrimaryUse({this}, {}, true);
-    BUILD_SINGLE_PARTIAL_SELECTOR(this->dataType(), templatedSet<, T>(this->buffer(), rp, pV), LIBND4J_TYPES);
-    NDArray::registerPrimaryUse({this}, {});
-}
+        NDArray::preparePrimaryUse({this}, {}, true);
+        BUILD_SINGLE_PARTIAL_SELECTOR(this->dataType(), templatedSet<, T>(this->buffer(), rp, pV), LIBND4J_TYPES);
+        NDArray::registerPrimaryUse({this}, {});
+    }
 
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const double value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const float value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const float16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const bfloat16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const int value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const int8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint32_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint64_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const int16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const bool value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const double value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const float value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const float16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const bfloat16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const int value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const int8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint32_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const uint64_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const int16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const bool value);
 
 //////////////////////////////////////////////////////////////////////////
 // This method sets value in 2D matrix to position i, j
-template 
-void NDArray::p(const Nd4jLong i, const Nd4jLong j, const T value) {
+    template 
+    void NDArray::p(const Nd4jLong i, const Nd4jLong j, const T value) {
 
-    if (rankOf() != 2 || i >= shapeOf()[0] || j >= shapeOf()[1])
-        throw std::invalid_argument("NDArray:pe(i,j, value): one of input indexes is out of array length or rank!=2 !");
+        if (rankOf() != 2 || i >= shapeOf()[0] || j >= shapeOf()[1])
+            throw std::invalid_argument("NDArray:pe(i,j, value): one of input indexes is out of array length or rank!=2 !");
 
-    void *p = reinterpret_cast(const_cast(&value));
-    auto xOffset = i * strideAt(0) + j * strideAt(1);
+        void *p = reinterpret_cast(const_cast(&value));
+        auto xOffset = i * strideAt(0) + j * strideAt(1);
 
-    NDArray::preparePrimaryUse({this}, {}, true);
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), templatedSet<, T>(this->buffer(), xOffset, p), LIBND4J_TYPES);
-    NDArray::registerPrimaryUse({this}, {});
-}
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const double value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const float value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const float16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const bfloat16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const int value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const int8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint32_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint64_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const int16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const bool value);
+        NDArray::preparePrimaryUse({this}, {}, true);
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), templatedSet<, T>(this->buffer(), xOffset, p), LIBND4J_TYPES);
+        NDArray::registerPrimaryUse({this}, {});
+    }
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const double value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const float value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const float16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const bfloat16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const int value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const int8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint32_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const uint64_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const int16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const bool value);
 
 //////////////////////////////////////////////////////////////////////////
 // This method sets value in 3D matrix to position i,j,k
-template 
-void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const T value) {
-    //(*this)(i,j,k) = value;
-    if (rankOf() != 3 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2])
-        throw std::invalid_argument("NDArray:pe(i,j,k, value): one of input indexes is out of array length or rank!=3 !");
+    template 
+    void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const T value) {
+        //(*this)(i,j,k) = value;
+        if (rankOf() != 3 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2])
+            throw std::invalid_argument("NDArray:pe(i,j,k, value): one of input indexes is out of array length or rank!=3 !");
 
-    void *p = reinterpret_cast(const_cast(&value));
-    auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2);
+        void *p = reinterpret_cast(const_cast(&value));
+        auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2);
 
-    NDArray::preparePrimaryUse({this}, {}, true);
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), templatedSet<, T>(this->buffer(), xOffset, p), LIBND4J_TYPES);
-    NDArray::registerPrimaryUse({this}, {});
-}
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const double value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const float value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const float16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const bfloat16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const int value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const int8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint32_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint64_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const int16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const bool value);
+        NDArray::preparePrimaryUse({this}, {}, true);
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), templatedSet<, T>(this->buffer(), xOffset, p), LIBND4J_TYPES);
+        NDArray::registerPrimaryUse({this}, {});
+    }
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const double value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const float value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const float16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const bfloat16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const int value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const int8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint32_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const uint64_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const int16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const bool value);
 
 //////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const T value) {
-    //(*this)(i,j,k) = value;
-    if (rankOf() != 4 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2] || l >= shapeOf()[3])
-        throw std::invalid_argument("NDArray::p(i,j,k,l, value): one of input indexes is out of array length or rank!=4 !");
+    template 
+    void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const T value) {
+        //(*this)(i,j,k) = value;
+        if (rankOf() != 4 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2] || l >= shapeOf()[3])
+            throw std::invalid_argument("NDArray::p(i,j,k,l, value): one of input indexes is out of array length or rank!=4 !");
 
-    void *p = reinterpret_cast(const_cast(&value));
-    auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2) + l * strideAt(3);
+        void *p = reinterpret_cast(const_cast(&value));
+        auto xOffset = i * strideAt(0) + j * strideAt(1) + k * strideAt(2) + l * strideAt(3);
 
-    NDArray::preparePrimaryUse({this}, {}, true);
-    BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), templatedSet<, T>(this->buffer(), xOffset, p), LIBND4J_TYPES);
-    NDArray::registerPrimaryUse({this}, {});
-}
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const double value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const float value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const float16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const bfloat16 value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const Nd4jLong value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const int value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const int8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint8_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint32_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint64_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const int16_t value);
-template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const bool value);
+        NDArray::preparePrimaryUse({this}, {}, true);
+        BUILD_SINGLE_PARTIAL_SELECTOR(dataType(), templatedSet<, T>(this->buffer(), xOffset, p), LIBND4J_TYPES);
+        NDArray::registerPrimaryUse({this}, {});
+    }
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const double value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const float value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const float16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const bfloat16 value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const Nd4jLong value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const int value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const int8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint8_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint32_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const uint64_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const int16_t value);
+    template ND4J_EXPORT void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const bool value);
 
 ////////////////////////////////////////////////////////////////////////
-void NDArray::p(const Nd4jLong i, const NDArray& scalar) {
+    void NDArray::p(const Nd4jLong i, const NDArray& scalar) {
 
-    if(scalar.lengthOf() != 1)
-        throw std::invalid_argument("NDArray::p method: input array must be scalar!");
-    if (i >= _length)
-        throw std::invalid_argument("NDArray::p(i, NDArray_scalar): input index is out of array length !");
+        if(scalar.lengthOf() != 1)
+            throw std::invalid_argument("NDArray::p method: input array must be scalar!");
+        if (i >= _length)
+            throw std::invalid_argument("NDArray::p(i, NDArray_scalar): input index is out of array length !");
 
-    NDArray::preparePrimaryUse({this}, {&scalar}, true);
-    auto rp = getOffset(i);
-    BUILD_SINGLE_SELECTOR(scalar.dataType(), templatedSet, (buffer(), rp, scalar.dataType(), scalar.buffer()), LIBND4J_TYPES);
-    NDArray::registerPrimaryUse({this}, {&scalar});
-}
+        NDArray::preparePrimaryUse({this}, {&scalar}, true);
+        auto rp = getOffset(i);
+        BUILD_SINGLE_SELECTOR(scalar.dataType(), templatedSet, (buffer(), rp, scalar.dataType(), scalar.buffer()), LIBND4J_TYPES);
+        NDArray::registerPrimaryUse({this}, {&scalar});
+    }
 
 ////////////////////////////////////////////////////////////////////////
     void NDArray::p(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const Nd4jLong l, const NDArray& scalar) {
@@ -4549,428 +4552,488 @@ void NDArray::p(const Nd4jLong i, const NDArray& scalar) {
     }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::addRowVector(const NDArray& row, NDArray& target) const {
+    void NDArray::addRowVector(const NDArray& row, NDArray& target) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::addRowVector: you can't use this method on String array!");
-    if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.lengthOf())
-        throw std::invalid_argument("NDArray::addRowVector: wrong arguments !");
-    if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()) && !(isR() && row.isR() && target.isR()))
-        throw std::invalid_argument("NDArray::addRowVector: wrong type of target array !");
+        if (isS())
+            throw std::runtime_error("NDArray::addRowVector: you can't use this method on String array!");
+        if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.lengthOf())
+            throw std::invalid_argument("NDArray::addRowVector: wrong arguments !");
+        if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()) && !(isR() && row.isR() && target.isR()))
+            throw std::invalid_argument("NDArray::addRowVector: wrong type of target array !");
 
-    int dimension = 1;
+        int dimension = 1;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({&target}, {this, &row});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &row});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &row});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &row});
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::subRowVector(const NDArray& row, NDArray& target) const {
+    void NDArray::subRowVector(const NDArray& row, NDArray& target) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::addRowVector: you can't use this method on String array!");
-    if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.lengthOf())
-        throw std::invalid_argument("NDArray::addRowVector: wrong arguments !");
-    if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()) && !(isR() && row.isR() && target.isR()))
-        throw std::invalid_argument("NDArray::addRowVector: wrong type of target array !");
+        if (isS())
+            throw std::runtime_error("NDArray::addRowVector: you can't use this method on String array!");
+        if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.lengthOf())
+            throw std::invalid_argument("NDArray::addRowVector: wrong arguments !");
+        if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()) && !(isR() && row.isR() && target.isR()))
+            throw std::invalid_argument("NDArray::addRowVector: wrong type of target array !");
 
-    int dimension = 1;
+        int dimension = 1;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({&target}, {this, &row});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), &dimension, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &row});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &row});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Subtract, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), &dimension, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &row});
+    }
 
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::mulRowVector(const NDArray &row, NDArray &target) const {
+    void NDArray::mulRowVector(const NDArray &row, NDArray &target) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::mulRowVector: you can't use this method on String array!");
-    if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.columns())
-        throw std::invalid_argument("NDArray::divRowVector: wrong arguments !");
-    if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()))
-        throw std::invalid_argument("NDArray::mulRowVector: wrong type of target array !");
+        if (isS())
+            throw std::runtime_error("NDArray::mulRowVector: you can't use this method on String array!");
+        if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.columns())
+            throw std::invalid_argument("NDArray::divRowVector: wrong arguments !");
+        if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()))
+            throw std::invalid_argument("NDArray::mulRowVector: wrong type of target array !");
 
-    int dimension = 1;
+        int dimension = 1;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({&target}, {this, &row});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &row});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &row});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &row});
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::divRowVector(const NDArray &row, NDArray &target) const {
+    void NDArray::divRowVector(const NDArray &row, NDArray &target) const {
 
-    if (isS())
-        throw std::runtime_error("NDArray::divRowVector: you can't use this method on String array!");
-    if (row.isB())
-        throw std::runtime_error("NDArray::divRowVector: you can't divide by bool row!");
-    if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.columns())
-        throw std::invalid_argument("NDArray::divRowVector: wrong arguments !");
-    if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()))
-        throw std::invalid_argument("NDArray::divRowVector: wrong type of target array !");
+        if (isS())
+            throw std::runtime_error("NDArray::divRowVector: you can't use this method on String array!");
+        if (row.isB())
+            throw std::runtime_error("NDArray::divRowVector: you can't divide by bool row!");
+        if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !row.isRowVector() || columns() != row.columns())
+            throw std::invalid_argument("NDArray::divRowVector: wrong arguments !");
+        if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), row.dataType()))
+            throw std::invalid_argument("NDArray::divRowVector: wrong type of target array !");
 
-    int dimension = 1;
+        int dimension = 1;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({&target}, {this, &row});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &row});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &row});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Divide, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &row});
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // This method adds given row to all rows in this NDArray, this array becomes affected
-void NDArray::addiRowVector(const NDArray& row) {
+    void NDArray::addiRowVector(const NDArray& row) {
 
-    if (isS())
-        throw std::runtime_error("NDArray::addiRowVector: you can't use this method on String array!");
-    if (rankOf() != 2 || !row.isRowVector() || columns() != row.lengthOf())
-        throw std::invalid_argument("NDArray::addiRowVector: wrong arguments !");
+        if (isS())
+            throw std::runtime_error("NDArray::addiRowVector: you can't use this method on String array!");
+        if (rankOf() != 2 || !row.isRowVector() || columns() != row.lengthOf())
+            throw std::invalid_argument("NDArray::addiRowVector: wrong arguments !");
 
-    int dimension = 1;
+        int dimension = 1;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({this}, {&row});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), this->buffer(), this->shapeInfo(), this->specialBuffer(), this->specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {&row});
-}
+        NDArray::prepareSpecialUse({this}, {&row});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), row.buffer(), row.shapeInfo(), row.specialBuffer(), row.specialShapeInfo(), this->buffer(), this->shapeInfo(), this->specialBuffer(), this->specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {&row});
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::addColumnVector(const NDArray &column, NDArray &target) const {
-    if (isS())
-        throw std::runtime_error("NDArray::addColumnVector: you can't use this method on String array!");
-    if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !column.isColumnVector() || rows() != column.lengthOf())
-        throw std::invalid_argument("NDArray::addColumnVector: wrong arguments !");
-    if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), column.dataType()))
-        throw std::invalid_argument("NDArray::addColumnVector: wrong type of target array !");
+    void NDArray::addColumnVector(const NDArray &column, NDArray &target) const {
+        if (isS())
+            throw std::runtime_error("NDArray::addColumnVector: you can't use this method on String array!");
+        if (rankOf() != 2 || target.rankOf() != 2 || rows() != target.rows() || columns() != target.columns() || !column.isColumnVector() || rows() != column.lengthOf())
+            throw std::invalid_argument("NDArray::addColumnVector: wrong arguments !");
+        if(target.dataType() !=  DataTypeUtils::pickPairwiseResultType(dataType(), column.dataType()))
+            throw std::invalid_argument("NDArray::addColumnVector: wrong type of target array !");
 
-    int dimension = 0;
+        int dimension = 0;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({&target}, {this, &column});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), column.buffer(), column.shapeInfo(), column.specialBuffer(), column.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({&target}, {this, &column});
-}
+        NDArray::prepareSpecialUse({&target}, {this, &column});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), column.buffer(), column.shapeInfo(), column.specialBuffer(), column.specialShapeInfo(), target.buffer(), target.shapeInfo(), target.specialBuffer(), target.specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({&target}, {this, &column});
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // This method adds given column to all columns in this NDArray, this array becomes affected
-void NDArray::addiColumnVector(const NDArray &column) {
-    if (isS())
-        throw std::runtime_error("NDArray::addiColumnVector: you can't use this method on String array!");
-    if (rankOf() != 2 || !column.isColumnVector() || rows() != column.lengthOf())
-        throw std::invalid_argument("NDArray::addiColumnVector: wrong arguments !");
+    void NDArray::addiColumnVector(const NDArray &column) {
+        if (isS())
+            throw std::runtime_error("NDArray::addiColumnVector: you can't use this method on String array!");
+        if (rankOf() != 2 || !column.isColumnVector() || rows() != column.lengthOf())
+            throw std::invalid_argument("NDArray::addiColumnVector: wrong arguments !");
 
-    int dimension = 0;
+        int dimension = 0;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({this}, {&column});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), column.buffer(), column.shapeInfo(), column.specialBuffer(), column.specialShapeInfo(), this->buffer(), this->shapeInfo(), this->specialBuffer(), this->specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {&column});
-}
+        NDArray::prepareSpecialUse({this}, {&column});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Add, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), column.buffer(), column.shapeInfo(), column.specialBuffer(), column.specialShapeInfo(), this->buffer(), this->shapeInfo(), this->specialBuffer(), this->specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {&column});
+    }
 
 //////////////////////////////////////////////////////////////////////////
 // This method multiplies each column of this array by given argument-column, this array becomes affected
-void NDArray::muliColumnVector(const NDArray& column) {
-    if (isS())
-        throw std::runtime_error("NDArray::muliColumnVector: you can't use this method on String array!");
-    if (rankOf() != 2 || !column.isColumnVector() || rows() != column.lengthOf())
-        throw std::invalid_argument("NDArray::muliColumnVector: wrong arguments !");
+    void NDArray::muliColumnVector(const NDArray& column) {
+        if (isS())
+            throw std::runtime_error("NDArray::muliColumnVector: you can't use this method on String array!");
+        if (rankOf() != 2 || !column.isColumnVector() || rows() != column.lengthOf())
+            throw std::invalid_argument("NDArray::muliColumnVector: wrong arguments !");
 
-    int dimension = 0;
+        int dimension = 0;
 
-    auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
+        auto packX = sd::ConstantTadHelper::getInstance().tadForDimensions(this->shapeInfo(), dimension);
 
-    NDArray::prepareSpecialUse({this}, {&column});
-    NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), column.buffer(), column.shapeInfo(), column.specialBuffer(), column.specialShapeInfo(), this->buffer(), this->shapeInfo(), this->specialBuffer(), this->specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
-    NDArray::registerSpecialUse({this}, {&column});
-}
+        NDArray::prepareSpecialUse({this}, {&column});
+        NativeOpExecutioner::execBroadcast(getContext(), sd::broadcast::Ops::Multiply, buffer(), shapeInfo(), specialBuffer(), specialShapeInfo(), column.buffer(), column.shapeInfo(), column.specialBuffer(), column.specialShapeInfo(), this->buffer(), this->shapeInfo(), this->specialBuffer(), this->specialShapeInfo(), nullptr, 1, packX.platformShapeInfo(), packX.platformOffsets(), nullptr, nullptr);
+        NDArray::registerSpecialUse({this}, {&column});
+    }
 
 //////////////////////////////////////////////////////////////////////////
-template 
-void NDArray::templatedAssign(void *xBuffer, Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const {
-    if (xBuffer != nullptr && yBuffer != nullptr)
-        *(reinterpret_cast(xBuffer) + xOffset) = *(reinterpret_cast(yBuffer) + yOffset);
-}
-BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedAssign, (void *xBuffer, const Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const, LIBND4J_TYPES);
+    template 
+    void NDArray::templatedAssign(void *xBuffer, Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const {
+        if (xBuffer != nullptr && yBuffer != nullptr)
+            *(reinterpret_cast(xBuffer) + xOffset) = *(reinterpret_cast(yBuffer) + yOffset);
+    }
+    BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT void NDArray::templatedAssign, (void *xBuffer, const Nd4jLong xOffset, const void *yBuffer, const Nd4jLong yOffset) const, LIBND4J_TYPES);
 
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::permutei(const int* dimensions, const int rank) {
+    bool NDArray::permutei(const int* dimensions, const int rank) {
 
-    auto shapeInfo = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, getContext()->getWorkspace());
-    setShapeInfo(shapeInfo);
+        auto shapeInfo = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, getContext()->getWorkspace());
+        setShapeInfo(shapeInfo);
 
-    return true;
-}
+        return true;
+    }
 
 //////////////////////////////////////////////////////////////////////////
-bool NDArray::permutei(const Nd4jLong* dimensions, const int rank) {
+    bool NDArray::permutei(const Nd4jLong* dimensions, const int rank) {
 
-    auto shapeInfo = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, getContext()->getWorkspace());
-    setShapeInfo(shapeInfo);
+        auto shapeInfo = ShapeUtils::evalPermShapeInfo(dimensions, rank, *this, getContext()->getWorkspace());
+        setShapeInfo(shapeInfo);
 
-    return true;
-}
+        return true;
+    }
 
 ////////////////////////////////////////////////////////////////////////
-ResultSet NDArray::multipleTensorsAlongDimension(const std::vector &indices, const std::vector &dimensions) const {
-    ResultSet result;
+    ResultSet NDArray::multipleTensorsAlongDimension(const std::vector &indices, const std::vector &dimensions) const {
+        ResultSet result;
+
+        if (indices.size() == 0)
+            return result;
+
+        auto pack = ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), const_cast(dimensions.data()), dimensions.size());
+
+        auto tadLength = shape::length(pack.primaryShapeInfo());
+        auto numTads = lengthOf() / tadLength;
+
+        for (auto idx: indices) {
+            if (idx >= numTads) {
+                nd4j_printf("NDArray::multipleTensorsAlongDimension: index %i is higher then number of TADs: %i\n", idx, numTads);
+                throw std::runtime_error("Bad index");
+            }
+
+            auto array = new NDArray(getDataBuffer(), ShapeDescriptor(pack.primaryShapeInfo()), getContext(), pack.primaryOffsets()[idx] + bufferOffset());
+            result.push_back(array);
+        }
 
-    if (indices.size() == 0)
         return result;
-
-    auto pack = ConstantTadHelper::getInstance().tadForDimensions(shapeInfo(), const_cast(dimensions.data()), dimensions.size());
-
-    auto tadLength = shape::length(pack.primaryShapeInfo());
-    auto numTads = lengthOf() / tadLength;
-
-    for (auto idx: indices) {
-        if (idx >= numTads) {
-            nd4j_printf("NDArray::multipleTensorsAlongDimension: index %i is higher then number of TADs: %i\n", idx, numTads);
-            throw std::runtime_error("Bad index");
-        }
-
-        auto array = new NDArray(getDataBuffer(), ShapeDescriptor(pack.primaryShapeInfo()), getContext(), pack.primaryOffsets()[idx] + bufferOffset());
-        result.push_back(array);
     }
 
-    return result;
-}
-
 ////////////////////////////////////////////////////////////////////////
-ResultSet NDArray::allTensorsAlongDimension(const std::initializer_list& dimensions) const {
-    return allTensorsAlongDimension(std::vector(dimensions));
-}
-
-////////////////////////////////////////////////////////////////////////
-ResultSet NDArray::allExamples() const {
-    std::vector dimensions(rankOf() - 1);
-    for (int e = 1; e < rankOf(); e++)
-        dimensions[e-1] = e;
-
-    return allTensorsAlongDimension(dimensions);
-}
-
-////////////////////////////////////////////////////////////////////////
-Nd4jLong NDArray::getOffset(const Nd4jLong i) const {
-
-    if (i >= lengthOf())
-        throw std::invalid_argument("NDArray::getOffset: input index is out of array length !");
-
-    return shape::getIndexOffset(i, _shapeInfo);
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::like() {
-
-    return NDArray(shapeInfo(), this->dataType(), false, getContext());
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::ulike() const{
-
-    return NDArray(this, false, getContext());
-}
-
-////////////////////////////////////////////////////////////////////////
-NDArray NDArray::diagonal(const char type) const {
-
-    if (isS())
-        throw std::runtime_error("NDArray::diagonal: you can't use this method on String array!");
-
-    const char order = ordering();
-    const int  rank  = rankOf();
-    Nd4jLong *outShapeInfo;
-    ALLOCATE(outShapeInfo, getContext()->getWorkspace(), 8, Nd4jLong);
-    outShapeInfo[0] = 2;
-    outShapeInfo[5] = 0;
-
-    if(isVector() || isScalar()) {
-
-        outShapeInfo[1] = outShapeInfo[2] = outShapeInfo[3] = outShapeInfo[4] = 1;
-        outShapeInfo[6] = 1;
-        outShapeInfo[7] = (int)order;
+    ResultSet NDArray::allTensorsAlongDimension(const std::initializer_list& dimensions) const {
+        return allTensorsAlongDimension(std::vector(dimensions));
     }
-    else {
 
-        int diagSize  = 100000000;
-        Nd4jLong indices[MAX_RANK];
+////////////////////////////////////////////////////////////////////////
+    ResultSet NDArray::allExamples() const {
+        std::vector dimensions(rankOf() - 1);
+        for (int e = 1; e < rankOf(); e++)
+            dimensions[e-1] = e;
 
-        for(int i = 0; i < rank; ++i) {
-            if(diagSize > shapeOf()[i])
-                diagSize = shapeOf()[i];
-            indices[i] = 1;
-        }
+        return allTensorsAlongDimension(dimensions);
+    }
 
-        auto step = shape::getOffset(shapeInfo(), indices);
+////////////////////////////////////////////////////////////////////////
+    Nd4jLong NDArray::getOffset(const Nd4jLong i) const {
 
-        if(type == 'c') {
-            outShapeInfo[1] = diagSize;
-            outShapeInfo[2] = 1;
+        if (i >= lengthOf())
+            throw std::invalid_argument("NDArray::getOffset: input index is out of array length !");
+
+        return shape::getIndexOffset(i, _shapeInfo);
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::like() {
+
+        return NDArray(shapeInfo(), this->dataType(), false, getContext());
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::ulike() const{
+
+        return NDArray(this, false, getContext());
+    }
+
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::diagonal(const char type) const {
+
+        if (isS())
+            throw std::runtime_error("NDArray::diagonal: you can't use this method on String array!");
+
+        const char order = ordering();
+        const int  rank  = rankOf();
+        Nd4jLong *outShapeInfo;
+        ALLOCATE(outShapeInfo, getContext()->getWorkspace(), 8, Nd4jLong);
+        outShapeInfo[0] = 2;
+        outShapeInfo[5] = 0;
+
+        if(isVector() || isScalar()) {
+
+            outShapeInfo[1] = outShapeInfo[2] = outShapeInfo[3] = outShapeInfo[4] = 1;
+            outShapeInfo[6] = 1;
+            outShapeInfo[7] = (int)order;
         }
         else {
-            outShapeInfo[1] = 1;
-            outShapeInfo[2] = diagSize;
+
+            int diagSize  = 100000000;
+            Nd4jLong indices[MAX_RANK];
+
+            for(int i = 0; i < rank; ++i) {
+                if(diagSize > shapeOf()[i])
+                    diagSize = shapeOf()[i];
+                indices[i] = 1;
+            }
+
+            auto step = shape::getOffset(shapeInfo(), indices);
+
+            if(type == 'c') {
+                outShapeInfo[1] = diagSize;
+                outShapeInfo[2] = 1;
+            }
+            else {
+                outShapeInfo[1] = 1;
+                outShapeInfo[2] = diagSize;
+            }
+            shape::updateStrides(outShapeInfo, order);
+
+            outShapeInfo[3] *= step;
+            outShapeInfo[4] *= step;
+            outShapeInfo[6] = 0;
         }
-        shape::updateStrides(outShapeInfo, order);
 
-        outShapeInfo[3] *= step;
-        outShapeInfo[4] *= step;
-        outShapeInfo[6] = 0;
+        ArrayOptions::setDataType(outShapeInfo, this->dataType());
+
+        NDArray result(_buffer, ShapeDescriptor(outShapeInfo), getContext(), bufferOffset());
+
+        RELEASE(outShapeInfo, getContext()->getWorkspace());
+
+        return result;
     }
 
-    ArrayOptions::setDataType(outShapeInfo, this->dataType());
-
-    NDArray result(_buffer, ShapeDescriptor(outShapeInfo), getContext(), bufferOffset());
-
-    RELEASE(outShapeInfo, getContext()->getWorkspace());
-
-    return result;
-}
-
 ////////////////////////////////////////////////////////////////////////
-ResultSet NDArray::allTensorsAlongDimension(const std::vector &dimensions) const {
+    ResultSet NDArray::allTensorsAlongDimension(const std::vector &dimensions) const {
 
-    ResultSet result;
+        ResultSet result;
+
+        if(dimensions.size() == 0)
+            return result;
+        else if(dimensions.back() == rankOf()) {
+            auto array = new NDArray(_buffer, this->shapeInfo(), getContext(),bufferOffset());
+            array->_isView = true;
+            result.push_back(array);
+            nd4j_debug("NDArray::allTensorsAlongDimension: Dimensions were equal %d with this rank of %d\n",dimensions.back(),rankOf());
+            return result;
+        }
+
+
+        if(dimensions.back() >= rankOf()) {
+            nd4j_debug("Dimensions failure %d and rank %d\n",dimensions.back(),rankOf());
+            throw std::runtime_error(
+                    "NDArray::allTensorsAlongDimension static function: all input dimensions must be smaller than rank of input array !");
+        }
+
+        auto pack = ConstantTadHelper::getInstance().tadForDimensions(_shapeInfo, const_cast(dimensions.data()), dimensions.size());
+        auto numTads = pack.numberOfTads();
+
+        for (Nd4jLong idx = 0; idx < numTads; idx++ ) {
+            auto array = new NDArray(_buffer, ShapeDescriptor(pack.primaryShapeInfo()), getContext(), pack.primaryOffsets()[idx] + bufferOffset());
+            array->_isView = true;
+            result.push_back(array);
+        }
 
-    if(dimensions.size() == 0)
         return result;
-
-    if(dimensions.back() >= rankOf())
-        throw std::runtime_error("NDArray::allTensorsAlongDimension static function: all input dimensions must be smaller than rank of input array !");
-
-
-    auto pack = ConstantTadHelper::getInstance().tadForDimensions(_shapeInfo, const_cast(dimensions.data()), dimensions.size());
-    auto numTads = pack.numberOfTads();
-
-    for (Nd4jLong idx = 0; idx < numTads; idx++ ) {
-        auto array = new NDArray(_buffer, ShapeDescriptor(pack.primaryShapeInfo()), getContext(), pack.primaryOffsets()[idx] + bufferOffset());
-        array->_isView = true;
-        result.push_back(array);
     }
 
-    return result;
-}
-
 ////////////////////////////////////////////////////////////////////////
 // operator returns sub-array with buffer pointing at this->_buffer + certain offset
-NDArray NDArray::operator()(const std::vector& idx, const bool keepUnitiesInShape, const bool isStrided)  const {
+    NDArray NDArray::operator()(const std::vector& idx, const bool keepUnitiesInShape, const bool isStrided)  const {
 
-    if(isEmpty())
-        throw std::invalid_argument("NDArray::operator(sub-arrays): array is empty !");
+        if(isEmpty())
+            throw std::invalid_argument("NDArray::operator(sub-arrays): array is empty !");
 
-    // Nd4jLong *outShapeInfo = nullptr;
-    //     ALLOCATE(outShapeInfo, workspace, shape::shapeInfoLength(inShapeInfo), Nd4jLong);
+        // Nd4jLong *outShapeInfo = nullptr;
+        //     ALLOCATE(outShapeInfo, workspace, shape::shapeInfoLength(inShapeInfo), Nd4jLong);
 
-    int numOfUntiesInSubArrShape = 0;
+        int numOfUntiesInSubArrShape = 0;
 
-    Nd4jLong* subArrShapeInfo = nullptr;
+        Nd4jLong* subArrShapeInfo = nullptr;
 
-    if(!keepUnitiesInShape) {
+        if(!keepUnitiesInShape) {
 
-        int n(isStrided ? 3 : 2), first, last;
+            int n(isStrided ? 3 : 2), first, last;
 
-        // calculate the number of unities in shape
-        for (uint d = 0; d < rankOf(); ++d) {
+            // calculate the number of unities in shape
+            for (uint d = 0; d < rankOf(); ++d) {
 
-            if (idx[n * d] != idx[n * d + 1]) {
+                if (idx[n * d] != idx[n * d + 1]) {
 
-                first  = idx[n * d]     >= 0 ? idx[n * d]     : idx[n * d]     + sizeAt(d) + 1;
-                last   = idx[n * d + 1] >= 0 ? idx[n * d + 1] : idx[n * d + 1] + sizeAt(d) + 1;
-                if(last - first == 1)
-                    ++numOfUntiesInSubArrShape;
+                    first  = idx[n * d]     >= 0 ? idx[n * d]     : idx[n * d]     + sizeAt(d) + 1;
+                    last   = idx[n * d + 1] >= 0 ? idx[n * d + 1] : idx[n * d + 1] + sizeAt(d) + 1;
+                    if(last - first == 1)
+                        ++numOfUntiesInSubArrShape;
+                }
             }
         }
+
+        ALLOCATE(subArrShapeInfo, getContext()->getWorkspace(), shape::shapeInfoLength(rankOf() - numOfUntiesInSubArrShape), Nd4jLong);
+
+        Nd4jLong offset;
+
+        shape::calcSubArrShapeInfoAndOffset(idx.data(), shapeInfo(), subArrShapeInfo, offset, keepUnitiesInShape, isStrided, numOfUntiesInSubArrShape);
+
+        NDArray result(_buffer, ShapeDescriptor(subArrShapeInfo), getContext(), offset + bufferOffset());
+        result._isView = true;
+
+        RELEASE(subArrShapeInfo, getContext()->getWorkspace());
+
+        return result;
     }
 
-    ALLOCATE(subArrShapeInfo, getContext()->getWorkspace(), shape::shapeInfoLength(rankOf() - numOfUntiesInSubArrShape), Nd4jLong);
+////////////////////////////////////////////////////////////////////////
+    NDArray NDArray::operator()(const Nd4jLong subArrIdx, const std::vector& dimsToExclude, bool keepUnitiesInShape)  const {
 
-    Nd4jLong offset;
+        std::vector idxRanges(2 * rankOf());
 
-    shape::calcSubArrShapeInfoAndOffset(idx.data(), shapeInfo(), subArrShapeInfo, offset, keepUnitiesInShape, isStrided, numOfUntiesInSubArrShape);
+        const auto rank = rankOf();
+        const auto subArrRank = static_cast(dimsToExclude.size());
 
-    NDArray result(_buffer, ShapeDescriptor(subArrShapeInfo), getContext(), offset + bufferOffset());
-    result._isView = true;
+        if(subArrRank > rank)
+            throw std::invalid_argument("NDArray::operator(const Nd4jLong subArrIdx, const std::vector& dimsToExclude, bool keepUnitiesInShape): static method: dimsToExclude is empty or has size > rank of array !");
 
-    RELEASE(subArrShapeInfo, getContext()->getWorkspace());
+        memset(idxRanges.data(), 0, 2 * rank * sizeof(Nd4jLong));
 
-    return result;
-}
+        // subArrRank == 0 means whole array, idxRanges should contain zeros only
+
+        if(subArrRank != 0) {
+
+            std::vector shapeOfSubArr(subArrRank), indexes(subArrRank);
+            for(int i = 0; i < subArrRank; ++i)
+                shapeOfSubArr[i] = sizeAt(dimsToExclude[i]);
+
+            shape::index2coords(subArrIdx, subArrRank, shapeOfSubArr.data(), indexes.data());
+
+            for(int i = 0; i < subArrRank; ++i) {
+                int currIdx = 2 * dimsToExclude[i];
+                idxRanges[currIdx]     = indexes[i];
+                idxRanges[currIdx + 1] = indexes[i] + 1;
+            }
+        }
+
+        return (*this)(idxRanges, keepUnitiesInShape);
+    }
 
 ////////////////////////////////////////////////////////////////////////
-NDArray NDArray::operator()(const Nd4jLong subArrIdx, const std::vector& dimsToExclude, bool keepUnitiesInShape)  const {
+    void NDArray::getSubArrShapeAndOffsets(const std::vector& dimsToExclude, Nd4jLong* &subArrShapeInfo, Nd4jLong* &subArrOffsets, bool keepUnitiesInShape) const {
 
-    std::vector idxRanges(2 * rankOf());
+        if(isEmpty())
+            throw std::invalid_argument("NDArray::getSubArrShapeAndOffsets: array is empty !");
 
-    const auto rank = rankOf();
-    const auto subArrRank = static_cast(dimsToExclude.size());
+        const int rank = rankOf();
+        const int subArrRank = (rank == dimsToExclude.size() || keepUnitiesInShape) ? rank : rank - dimsToExclude.size();
+        const Nd4jLong numOfSubArrs = ShapeUtils::getNumOfSubArrs(_shapeInfo, dimsToExclude);
 
-    if(subArrRank > rank)
-        throw std::invalid_argument("NDArray::operator(const Nd4jLong subArrIdx, const std::vector& dimsToExclude, bool keepUnitiesInShape): static method: dimsToExclude is empty or has size > rank of array !");
+        // allocate memory
+        ALLOCATE(subArrShapeInfo, getContext()->getWorkspace(), shape::shapeInfoLength(subArrRank), Nd4jLong);
+        ALLOCATE(subArrOffsets,   getContext()->getWorkspace(), numOfSubArrs, Nd4jLong);
 
-    memset(idxRanges.data(), 0, 2 * rank * sizeof(Nd4jLong));
+        shape::calcSubArrsShapeInfoAndOffsets(_shapeInfo, numOfSubArrs, dimsToExclude.size(), dimsToExclude.data(), subArrShapeInfo, subArrOffsets, keepUnitiesInShape);
+    }
 
-    // subArrRank == 0 means whole array, idxRanges should contain zeros only
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::setShapeInfo(const Nd4jLong *shapeInfo) {
 
-    if(subArrRank != 0) {
+        if (shapeInfo != nullptr) {
 
-        std::vector shapeOfSubArr(subArrRank), indexes(subArrRank);
-        for(int i = 0; i < subArrRank; ++i)
-            shapeOfSubArr[i] = sizeAt(dimsToExclude[i]);
+            ShapeDescriptor descriptor(shapeInfo);
+            auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(descriptor);
 
-        shape::index2coords(subArrIdx, subArrRank, shapeOfSubArr.data(), indexes.data());
+            _shapeInfo  = shapeBuffer.primary();
+#ifdef __CUDABLAS__
+            _shapeInfoD = shapeBuffer.special();
+#endif
 
-        for(int i = 0; i < subArrRank; ++i) {
-            int currIdx = 2 * dimsToExclude[i];
-            idxRanges[currIdx]     = indexes[i];
-            idxRanges[currIdx + 1] = indexes[i] + 1;
+            if(ArrayOptions::arrayType(_shapeInfo) == ArrayType::EMPTY)
+                _length = 0;
+            else
+                _length = shape::length(_shapeInfo);
+
+            _dataType = ArrayOptions::dataType(_shapeInfo);
+        }
+        else {
+            _dataType = sd::DataType::INHERIT;
+            _shapeInfoD = _shapeInfo = nullptr;
         }
     }
 
-    return (*this)(idxRanges, keepUnitiesInShape);
-}
-
 ////////////////////////////////////////////////////////////////////////
-void NDArray::getSubArrShapeAndOffsets(const std::vector& dimsToExclude, Nd4jLong* &subArrShapeInfo, Nd4jLong* &subArrOffsets, bool keepUnitiesInShape) const {
+    void NDArray::setShapeInfo(const Nd4jLong *shapeInfo, const sd::DataType dtype) {
 
-    if(isEmpty())
-        throw std::invalid_argument("NDArray::getSubArrShapeAndOffsets: array is empty !");
+        if (shapeInfo != nullptr) {
 
-    const int rank = rankOf();
-    const int subArrRank = (rank == dimsToExclude.size() || keepUnitiesInShape) ? rank : rank - dimsToExclude.size();
-    const Nd4jLong numOfSubArrs = ShapeUtils::getNumOfSubArrs(_shapeInfo, dimsToExclude);
+            Nd4jLong* shapeInfoTemp = ShapeBuilders::copyShapeInfoAndType(shapeInfo, dtype, true, getContext()->getWorkspace());
+            ShapeDescriptor descriptor(shapeInfoTemp);
+            auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(descriptor);
 
-    // allocate memory
-    ALLOCATE(subArrShapeInfo, getContext()->getWorkspace(), shape::shapeInfoLength(subArrRank), Nd4jLong);
-    ALLOCATE(subArrOffsets,   getContext()->getWorkspace(), numOfSubArrs, Nd4jLong);
+            _shapeInfo  = shapeBuffer.primary();
+#ifdef __CUDABLAS__
+            _shapeInfoD = shapeBuffer.special();
+#endif
 
-    shape::calcSubArrsShapeInfoAndOffsets(_shapeInfo, numOfSubArrs, dimsToExclude.size(), dimsToExclude.data(), subArrShapeInfo, subArrOffsets, keepUnitiesInShape);
-}
+            if(ArrayOptions::arrayType(_shapeInfo) == ArrayType::EMPTY)
+                _length = 0;
+            else
+                _length = shape::length(_shapeInfo);
+
+            _dataType = dtype;
+        }
+        else {
+            _dataType = sd::DataType::INHERIT;
+            _shapeInfoD = _shapeInfo = nullptr;
+        }
+    }
 
 //////////////////////////////////////////////////////////////////////////
-void NDArray::setShapeInfo(const Nd4jLong *shapeInfo) {
+    void NDArray::setShapeInfo(const ShapeDescriptor& descriptor) {
 
-    if (shapeInfo != nullptr) {
-
-        ShapeDescriptor descriptor(shapeInfo);
-        auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(descriptor);
+        auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(const_cast(descriptor));
 
         _shapeInfo  = shapeBuffer.primary();
-        #ifdef __CUDABLAS__
-            _shapeInfoD = shapeBuffer.special();
-        #endif
+#ifdef __CUDABLAS__
+        _shapeInfoD = shapeBuffer.special();
+#endif
 
         if(ArrayOptions::arrayType(_shapeInfo) == ArrayType::EMPTY)
             _length = 0;
@@ -4979,605 +5042,555 @@ void NDArray::setShapeInfo(const Nd4jLong *shapeInfo) {
 
         _dataType = ArrayOptions::dataType(_shapeInfo);
     }
-    else {
-        _dataType = sd::DataType::INHERIT;
-        _shapeInfoD = _shapeInfo = nullptr;
-    }
-}
 
-////////////////////////////////////////////////////////////////////////
-void NDArray::setShapeInfo(const Nd4jLong *shapeInfo, const sd::DataType dtype) {
-
-    if (shapeInfo != nullptr) {
-
-        Nd4jLong* shapeInfoTemp = ShapeBuilders::copyShapeInfoAndType(shapeInfo, dtype, true, getContext()->getWorkspace());
-        ShapeDescriptor descriptor(shapeInfoTemp);
-        auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(descriptor);
+//////////////////////////////////////////////////////////////////////////
+    void NDArray::setShapeInfo(const ConstantShapeBuffer& shapeBuffer) {
 
         _shapeInfo  = shapeBuffer.primary();
-        #ifdef __CUDABLAS__
-            _shapeInfoD = shapeBuffer.special();
-        #endif
+#ifdef __CUDABLAS__
+        _shapeInfoD = shapeBuffer.special();
+#endif
 
         if(ArrayOptions::arrayType(_shapeInfo) == ArrayType::EMPTY)
             _length = 0;
         else
             _length = shape::length(_shapeInfo);
 
-        _dataType = dtype;
+        _dataType = ArrayOptions::dataType(_shapeInfo);
     }
-    else {
-        _dataType = sd::DataType::INHERIT;
-        _shapeInfoD = _shapeInfo = nullptr;
-    }
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::setShapeInfo(const ShapeDescriptor& descriptor) {
-
-    auto shapeBuffer = ConstantShapeHelper::getInstance().bufferForShapeInfo(const_cast(descriptor));
-
-    _shapeInfo  = shapeBuffer.primary();
-    #ifdef __CUDABLAS__
-        _shapeInfoD = shapeBuffer.special();
-    #endif
-
-    if(ArrayOptions::arrayType(_shapeInfo) == ArrayType::EMPTY)
-        _length = 0;
-    else
-        _length = shape::length(_shapeInfo);
-
-    _dataType = ArrayOptions::dataType(_shapeInfo);
-}
-
-//////////////////////////////////////////////////////////////////////////
-void NDArray::setShapeInfo(const ConstantShapeBuffer& shapeBuffer) {
-
-    _shapeInfo  = shapeBuffer.primary();
-    #ifdef __CUDABLAS__
-    _shapeInfoD = shapeBuffer.special();
-    #endif
-
-    if(ArrayOptions::arrayType(_shapeInfo) == ArrayType::EMPTY)
-        _length = 0;
-    else
-        _length = shape::length(_shapeInfo);
-
-    _dataType = ArrayOptions::dataType(_shapeInfo);
-}
 
 ///////////////////////////////////////////////////////////////////////
 // addition operator array + scalar
-template 
-NDArray operator+(NDArray&& arr, const T& scalar) {
+    template 
+    NDArray operator+(NDArray&& arr, const T& scalar) {
 
-    if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
-        return std::move(arr + scalar);     // arr is lvalue inside function body
+        if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
+            return std::move(arr + scalar);     // arr is lvalue inside function body
 
-    if (arr.isS())
-        throw std::runtime_error("operator+(NDArray&& arr, const T& scalar): you can't use this method on String array!");
-    if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
-       throw std::runtime_error("operator+(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator+(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
+            throw std::runtime_error("operator+(NDArray&& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
 
-    NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Add, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Add, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
 
-    return std::move(arr);
-}
-template ND4J_EXPORT NDArray operator+(NDArray&& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr, const int& scalar);
+        return std::move(arr);
+    }
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr, const int& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator+(const NDArray& arr, const T& scalar) {
+    template 
+    NDArray operator+(const NDArray& arr, const T& scalar) {
 
-    if (arr.isS())
-        throw std::runtime_error("operator+(const NDArray& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator+(const NDArray& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
-    NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
 
-    NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Add, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&result}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Add, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&result}, {&arr, &tmp});
 
-    return result;
-}
-template ND4J_EXPORT NDArray operator+(const NDArray& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr, const int& scalar);
+        return result;
+    }
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr, const int& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator+(const T& scalar, NDArray&& arr) {
-    return  std::move(arr) + scalar;
-}
-template ND4J_EXPORT NDArray operator+(const double& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator+(const float& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator+(const float16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator+(const bfloat16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator+(const int& scalar, NDArray&& arr);
+    template 
+    NDArray operator+(const T& scalar, NDArray&& arr) {
+        return  std::move(arr) + scalar;
+    }
+    template ND4J_EXPORT NDArray operator+(const double& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator+(const float& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator+(const float16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator+(const bfloat16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator+(const int& scalar, NDArray&& arr);
 
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator+(const T& scalar, const NDArray& arr) {
-    return arr + scalar;
-}
-template ND4J_EXPORT NDArray operator+(const double& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator+(const float& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator+(const int& scalar, const NDArray& arr);
+    template 
+    NDArray operator+(const T& scalar, const NDArray& arr) {
+        return arr + scalar;
+    }
+    template ND4J_EXPORT NDArray operator+(const double& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator+(const float& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator+(const int& scalar, const NDArray& arr);
 
 ///////////////////////////////////////////////////////////////////////
 // addition operator array - scalar
-template 
-NDArray operator-(NDArray&& arr, const T& scalar) {
+    template 
+    NDArray operator-(NDArray&& arr, const T& scalar) {
 
-    if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
-        return std::move(arr - scalar);     // arr is lvalue inside function body
+        if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
+            return std::move(arr - scalar);     // arr is lvalue inside function body
 
-    if (arr.isS())
-        throw std::runtime_error("operator-(NDArray&& arr, const T& scalar): you can't use this method on String array!");
-    if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
-       throw std::runtime_error("operator-(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator-(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
+            throw std::runtime_error("operator-(NDArray&& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
 
-    NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Subtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Subtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
 
-    return std::move(arr);
-}
-template ND4J_EXPORT NDArray operator-(NDArray&& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator-(NDArray&& arr, const float& scalar);
+        return std::move(arr);
+    }
+    template ND4J_EXPORT NDArray operator-(NDArray&& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator-(NDArray&& arr, const float& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator-(const NDArray& arr, const T& scalar) {
+    template 
+    NDArray operator-(const NDArray& arr, const T& scalar) {
 
-    if (arr.isS())
-        throw std::runtime_error("operator-(const NDArray& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator-(const NDArray& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
-    NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
 
-    NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Subtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&result}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Subtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&result}, {&arr, &tmp});
 
-    return result;
-}
-template ND4J_EXPORT NDArray operator-(const NDArray& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr, const int& scalar);
+        return result;
+    }
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr, const int& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator-(const T& scalar, NDArray&& arr) {
+    template 
+    NDArray operator-(const T& scalar, NDArray&& arr) {
 
-    if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
-        return std::move(scalar - arr);     // arr is lvalue inside function body
+        if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
+            return std::move(scalar - arr);     // arr is lvalue inside function body
 
-    if (arr.isS())
-        throw std::runtime_error("operator-(const T& scalar, NDArray&& arr): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator-(const T& scalar, NDArray&& arr): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
 
-    NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseSubtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseSubtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
 
-    return std::move(arr);
+        return std::move(arr);
 
-}
-template ND4J_EXPORT NDArray operator-(const double& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator-(const float& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator-(const float16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator-(const bfloat16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator-(const int& scalar, NDArray&& arr);
+    }
+    template ND4J_EXPORT NDArray operator-(const double& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator-(const float& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator-(const float16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator-(const bfloat16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator-(const int& scalar, NDArray&& arr);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator-(const T& scalar, const NDArray& arr) {
+    template 
+    NDArray operator-(const T& scalar, const NDArray& arr) {
 
-    if (arr.isS())
-        throw std::runtime_error("operator-(const T& scalar, const NDArray& arr): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator-(const T& scalar, const NDArray& arr): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
-    NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
 
-    NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseSubtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&result}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseSubtract, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&result}, {&arr, &tmp});
 
-    return result;
-}
-template ND4J_EXPORT NDArray operator-(const double& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator-(const float& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator-(const int& scalar, const NDArray& arr);
+        return result;
+    }
+    template ND4J_EXPORT NDArray operator-(const double& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator-(const float& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator-(const int& scalar, const NDArray& arr);
 
 ///////////////////////////////////////////////////////////////////////
 // addition operator array + scalar
-template 
-NDArray operator*(NDArray&& arr, const T& scalar) {
+    template 
+    NDArray operator*(NDArray&& arr, const T& scalar) {
 
-    if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
-        return std::move(arr * scalar);     // arr is lvalue inside function body
+        if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
+            return std::move(arr * scalar);     // arr is lvalue inside function body
 
-    if (arr.isS())
-        throw std::runtime_error("operator*(NDArray&& arr, const T& scalar): you can't use this method on String array!");
-    if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
-       throw std::runtime_error("operator*(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator*(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
+            throw std::runtime_error("operator*(NDArray&& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
 
-    NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Multiply, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Multiply, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
 
-    return std::move(arr);
-}
-template ND4J_EXPORT NDArray operator*(NDArray&& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr, const int& scalar);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr, const long long& scalar);
+        return std::move(arr);
+    }
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr, const int& scalar);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr, const long long& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator*(const NDArray& arr, const T& scalar) {
+    template 
+    NDArray operator*(const NDArray& arr, const T& scalar) {
 
-    if (arr.isS())
-        throw std::runtime_error("operator*(const NDArray& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator*(const NDArray& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
-    NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
 
-    NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Multiply, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&result}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Multiply, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&result}, {&arr, &tmp});
 
-    return result;
-}
+        return result;
+    }
 
-template ND4J_EXPORT NDArray operator*(const NDArray& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr, const int& scalar);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr, const long long& scalar);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr, const int& scalar);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr, const long long& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator*(const T& scalar, NDArray&& arr) {
-    return  std::move(arr) * scalar;
-}
-template ND4J_EXPORT NDArray operator*(const double& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator*(const float& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator*(const float16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator*(const bfloat16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator*(const int& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator*(const long long& scalar, NDArray&& arr);
+    template 
+    NDArray operator*(const T& scalar, NDArray&& arr) {
+        return  std::move(arr) * scalar;
+    }
+    template ND4J_EXPORT NDArray operator*(const double& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator*(const float& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator*(const float16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator*(const bfloat16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator*(const int& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator*(const long long& scalar, NDArray&& arr);
 
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator*(const T& scalar, const NDArray& arr) {
-    return arr * scalar;
-}
-template ND4J_EXPORT NDArray operator*(const double& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator*(const float& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator*(const float16& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator*(const bfloat16& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator*(const int& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator*(const long long& scalar, const NDArray& arr);
+    template 
+    NDArray operator*(const T& scalar, const NDArray& arr) {
+        return arr * scalar;
+    }
+    template ND4J_EXPORT NDArray operator*(const double& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator*(const float& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator*(const float16& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator*(const bfloat16& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator*(const int& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator*(const long long& scalar, const NDArray& arr);
 
 ///////////////////////////////////////////////////////////////////////
-template 
-NDArray operator/(NDArray&& arr, const T& scalar) {
+    template 
+    NDArray operator/(NDArray&& arr, const T& scalar) {
 
-    if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
-        return std::move(arr / scalar);     // arr is lvalue inside function body
+        if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
+            return std::move(arr / scalar);     // arr is lvalue inside function body
 
-    if (arr.isS())
-        throw std::runtime_error("operator/(NDArray&& arr, const T& scalar): you can't use this method on String array!");
-    if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
-       throw std::runtime_error("operator/(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator/(NDArray&& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.dataType() != DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()))
+            throw std::runtime_error("operator/(NDArray&& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
 
-    NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Divide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Divide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
 
-    return std::move(arr);
-}
-template ND4J_EXPORT NDArray operator/(NDArray&& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr, const long long& scalar);
+        return std::move(arr);
+    }
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr, const long long& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator/(const NDArray& arr, const T& scalar) {
+    template 
+    NDArray operator/(const NDArray& arr, const T& scalar) {
 
-    if (arr.isS())
-        throw std::runtime_error("operator/(const NDArray& arr, const T& scalar): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator/(const NDArray& arr, const T& scalar): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
-    NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
 
-    NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Divide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&result}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::Divide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&result}, {&arr, &tmp});
 
-    return result;
-}
-template ND4J_EXPORT NDArray operator/(const NDArray& arr, const double& scalar);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr, const float& scalar);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr, const float16& scalar);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr, const bfloat16& scalar);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr, const int& scalar);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr, const long long& scalar);
+        return result;
+    }
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr, const double& scalar);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr, const float& scalar);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr, const float16& scalar);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr, const bfloat16& scalar);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr, const int& scalar);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr, const long long& scalar);
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator/(const T& scalar, NDArray&& arr) {
+    template 
+    NDArray operator/(const T& scalar, NDArray&& arr) {
 
-    if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
-        return std::move(scalar / arr);     // arr is lvalue inside function body
+        if(arr.isView())                        // do not use resources of arrays which use buffers of other original arrays
+            return std::move(scalar / arr);     // arr is lvalue inside function body
 
-    if (arr.isS())
-        throw std::runtime_error("operator/(const T& scalar, NDArray&& arr): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator/(const T& scalar, NDArray&& arr): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
 
-    NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseDivide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&arr}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseDivide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&arr}, {&arr, &tmp});
 
-    return std::move(arr);
+        return std::move(arr);
 
-}
-template ND4J_EXPORT NDArray operator/(const double& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator/(const float& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator/(const float16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator/(const bfloat16& scalar, NDArray&& arr);
-template ND4J_EXPORT NDArray operator/(const int& scalar, NDArray&& arr);
+    }
+    template ND4J_EXPORT NDArray operator/(const double& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator/(const float& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator/(const float16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator/(const bfloat16& scalar, NDArray&& arr);
+    template ND4J_EXPORT NDArray operator/(const int& scalar, NDArray&& arr);
 
 
 ////////////////////////////////////////////////////////////////////////
-template 
-NDArray operator/(const T& scalar, const NDArray& arr) {
+    template 
+    NDArray operator/(const T& scalar, const NDArray& arr) {
 
-    if (arr.isS())
-        throw std::runtime_error("operator/(const T& scalar, const NDArray& arr): you can't use this method on String array!");
+        if (arr.isS())
+            throw std::runtime_error("operator/(const T& scalar, const NDArray& arr): you can't use this method on String array!");
 
-    auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
-    NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
+        auto tmp = NDArrayFactory::create(arr.dataType(), scalar, arr.getContext());
+        NDArray result(arr.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr.dataType(), DataTypeUtils::fromT()), false, arr.getContext());
 
-    NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
-    NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseDivide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
-    NDArray::registerSpecialUse({&result}, {&arr, &tmp});
+        NDArray::prepareSpecialUse({&result}, {&arr, &tmp});
+        NativeOpExecutioner::execScalar(arr.getContext(), sd::scalar::ReverseDivide, arr.buffer(), arr.shapeInfo(), arr.specialBuffer(), arr.specialShapeInfo(), result.buffer(), result.shapeInfo(), result.specialBuffer(), result.specialShapeInfo(), tmp.buffer(), tmp.shapeInfo(), tmp.specialBuffer(), tmp.specialShapeInfo(), nullptr);
+        NDArray::registerSpecialUse({&result}, {&arr, &tmp});
 
-    return result;
-}
-template ND4J_EXPORT NDArray operator/(const double& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator/(const float& scalar, const NDArray& arr);
-template ND4J_EXPORT NDArray operator/(const int& scalar, const NDArray& arr);
+        return result;
+    }
+    template ND4J_EXPORT NDArray operator/(const double& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator/(const float& scalar, const NDArray& arr);
+    template ND4J_EXPORT NDArray operator/(const int& scalar, const NDArray& arr);
 
 ////////////////////////////////////////////////////////////////////////
 // addition operator array + array
-template 
-NDArray operator+(T1&& arr1, T2&& arr2) {
+    template 
+    NDArray operator+(T1&& arr1, T2&& arr2) {
 
-    if (arr1.isS() || arr2.isS())
-        throw std::runtime_error("operator+(T&& arr1, T&& arr2): you can't use this method on String arrays!");
-    if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
-        throw sd::datatype_exception::build("operator+(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
+        if (arr1.isS() || arr2.isS())
+            throw std::runtime_error("operator+(T&& arr1, T&& arr2): you can't use this method on String arrays!");
+        if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
+            throw sd::datatype_exception::build("operator+(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
 
-    PointersManager pointersManager(arr1.getContext(), "operator+(T&& arr1, T&& arr2)");
+        PointersManager pointersManager(arr1.getContext(), "operator+(T&& arr1, T&& arr2)");
 
-    if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
+        if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
 
-        const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
-        const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
+            const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
+            const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
 
-        NDArray* result = nullptr;
-        if(isArr1Rvalue)
-            result = const_cast(&arr1);
-        else if(isArr2Rvalue)
-            result = const_cast(&arr2);
-        else
-            result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
+            NDArray* result = nullptr;
+            if(isArr1Rvalue)
+                result = const_cast(&arr1);
+            else if(isArr2Rvalue)
+                result = const_cast(&arr2);
+            else
+                result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
 
-        NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
-        NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Add, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({result}, {&arr1, &arr2});
+            NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
+            NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Add, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({result}, {&arr1, &arr2});
 
-        if(!isArr1Rvalue && !isArr2Rvalue) {
-            NDArray res = std::move(*result);
-            delete result;
-            return std::move(res);
+            if(!isArr1Rvalue && !isArr2Rvalue) {
+                NDArray res = std::move(*result);
+                delete result;
+                return std::move(res);
+            }
+
+            return std::move(*result);
         }
 
-        return std::move(*result);
+        return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Add(), std::forward(arr2));
     }
-
-    return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Add(), std::forward(arr2));
-}
-template ND4J_EXPORT NDArray operator+(NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator+(NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator+(NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator+(const NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator+(NDArray&& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator+(NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator+(NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator+(NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator+(const NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator+(NDArray&& arr1, NDArray&& arr2);
 
 ////////////////////////////////////////////////////////////////////////
 // addition operator array - array
-template 
-NDArray operator-(T1&& arr1, T2&& arr2) {
+    template 
+    NDArray operator-(T1&& arr1, T2&& arr2) {
 
-    if (arr1.isS() || arr2.isS())
-        throw std::runtime_error("operator-(T&& arr1, T&& arr2): you can't use this method on String arrays!");
-    if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
-        throw sd::datatype_exception::build("operator-(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
+        if (arr1.isS() || arr2.isS())
+            throw std::runtime_error("operator-(T&& arr1, T&& arr2): you can't use this method on String arrays!");
+        if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
+            throw sd::datatype_exception::build("operator-(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
 
-    PointersManager pointersManager(arr1.getContext(), "operator-(T&& arr1, T&& arr2)");
+        PointersManager pointersManager(arr1.getContext(), "operator-(T&& arr1, T&& arr2)");
 
-    if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
+        if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
 
-        const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
-        const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
+            const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
+            const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
 
-        NDArray* result = nullptr;
-        if(isArr1Rvalue)
-            result = const_cast(&arr1);
-        else if(isArr2Rvalue)
-            result = const_cast(&arr2);
-        else
-            result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
+            NDArray* result = nullptr;
+            if(isArr1Rvalue)
+                result = const_cast(&arr1);
+            else if(isArr2Rvalue)
+                result = const_cast(&arr2);
+            else
+                result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
 
-        NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
-        NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Subtract, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({result}, {&arr1, &arr2});
+            NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
+            NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Subtract, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({result}, {&arr1, &arr2});
 
-        if(!isArr1Rvalue && !isArr2Rvalue) {
-            NDArray res = std::move(*result);
-            delete result;
-            return std::move(res);
+            if(!isArr1Rvalue && !isArr2Rvalue) {
+                NDArray res = std::move(*result);
+                delete result;
+                return std::move(res);
+            }
+
+            return std::move(*result);
         }
 
-        return std::move(*result);
+        return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Subtract(), std::forward(arr2));
     }
-
-    return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Subtract(), std::forward(arr2));
-}
-template ND4J_EXPORT NDArray operator-(NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator-(NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator-(NDArray&& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator-(NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator-(const NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator-(NDArray&& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator-(NDArray&& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator-(NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator-(NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator-(NDArray&& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator-(NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator-(const NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator-(NDArray&& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator-(NDArray&& arr1, NDArray&& arr2);
 
 ////////////////////////////////////////////////////////////////////////
 // multiplication operator array*array
-template 
-NDArray operator*(T1&& arr1, T2&& arr2) {
+    template 
+    NDArray operator*(T1&& arr1, T2&& arr2) {
 
-    if (arr1.isS() || arr2.isS())
-        throw std::runtime_error("operator*(T&& arr1, T&& arr2): you can't use this method on String arrays!");
-    if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
-        throw sd::datatype_exception::build("operator*(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
+        if (arr1.isS() || arr2.isS())
+            throw std::runtime_error("operator*(T&& arr1, T&& arr2): you can't use this method on String arrays!");
+        if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
+            throw sd::datatype_exception::build("operator*(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
 
-    PointersManager pointersManager(arr1.getContext(), "operator*(T&& arr1, T&& arr2)");
+        PointersManager pointersManager(arr1.getContext(), "operator*(T&& arr1, T&& arr2)");
 
-    if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
+        if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
 
-        const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
-        const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
+            const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
+            const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
 
-        NDArray* result = nullptr;
-        if(isArr1Rvalue)
-            result = const_cast(&arr1);
-        else if(isArr2Rvalue)
-            result = const_cast(&arr2);
-        else
-            result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
+            NDArray* result = nullptr;
+            if(isArr1Rvalue)
+                result = const_cast(&arr1);
+            else if(isArr2Rvalue)
+                result = const_cast(&arr2);
+            else
+                result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
 
-        NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
-        NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Multiply, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({result}, {&arr1, &arr2});
+            NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
+            NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Multiply, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({result}, {&arr1, &arr2});
 
-        if(!isArr1Rvalue && !isArr2Rvalue) {
-            NDArray res = std::move(*result);
-            delete result;
-            return std::move(res);
+            if(!isArr1Rvalue && !isArr2Rvalue) {
+                NDArray res = std::move(*result);
+                delete result;
+                return std::move(res);
+            }
+
+            return std::move(*result);
         }
 
-        return std::move(*result);
+        return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Multiply(), std::forward(arr2));
     }
-
-    return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Multiply(), std::forward(arr2));
-}
-template ND4J_EXPORT NDArray operator*(NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator*(NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator*(NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator*(const NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator*(NDArray&& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator*(NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator*(NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator*(NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator*(const NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator*(NDArray&& arr1, NDArray&& arr2);
 
 ////////////////////////////////////////////////////////////////////////
 // multiplication operator array*array
-template 
-NDArray operator/(T1&& arr1, T2&& arr2) {
+    template 
+    NDArray operator/(T1&& arr1, T2&& arr2) {
 
-    if (arr1.isS() || arr2.isS())
-        throw std::runtime_error("operator/(T&& arr1, T&& arr2): you can't use this method on String arrays!");
-    if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
-        throw sd::datatype_exception::build("operator/(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
+        if (arr1.isS() || arr2.isS())
+            throw std::runtime_error("operator/(T&& arr1, T&& arr2): you can't use this method on String arrays!");
+        if (!Environment::getInstance().isExperimentalBuild() && arr1.dataType() != arr2.dataType() && (arr1.dataType() != DataType::BOOL || arr2.dataType() != BOOL))
+            throw sd::datatype_exception::build("operator/(T&& arr1, T&& arr2): Cannot multiply different types", arr1.dataType(), arr2.dataType());
 
-    PointersManager pointersManager(arr1.getContext(), "operator/(T&& arr1, T&& arr2)");
+        PointersManager pointersManager(arr1.getContext(), "operator/(T&& arr1, T&& arr2)");
 
-    if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
+        if (arr1.lengthOf() == arr2.lengthOf() && arr1.rankOf() == arr2.rankOf()) {
 
-        const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
-        const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
+            const bool isArr1Rvalue = !std::is_reference::value && !arr1.isView();
+            const bool isArr2Rvalue = !std::is_reference::value && !arr2.isView();
 
-        NDArray* result = nullptr;
-        if(isArr1Rvalue)
-            result = const_cast(&arr1);
-        else if(isArr2Rvalue)
-            result = const_cast(&arr2);
-        else
-            result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
+            NDArray* result = nullptr;
+            if(isArr1Rvalue)
+                result = const_cast(&arr1);
+            else if(isArr2Rvalue)
+                result = const_cast(&arr2);
+            else
+                result = new NDArray(arr1.shapeInfo(), DataTypeUtils::pickPairwiseResultType(arr1.shapeInfo(), arr2.shapeInfo()), false, arr1.getContext());
 
-        NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
-        NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Divide, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
-        NDArray::registerSpecialUse({result}, {&arr1, &arr2});
+            NDArray::prepareSpecialUse({result}, {&arr1, &arr2});
+            NativeOpExecutioner::execPairwiseTransform(arr1.getContext(), sd::pairwise::Divide, arr1.buffer(), arr1.shapeInfo(), arr1.specialBuffer(), arr1.specialShapeInfo(), arr2.buffer(), arr2.shapeInfo(), arr2.specialBuffer(), arr2.specialShapeInfo(), result->buffer(), result->shapeInfo(), result->specialBuffer(), result->specialShapeInfo(), nullptr);
+            NDArray::registerSpecialUse({result}, {&arr1, &arr2});
 
-        if(!isArr1Rvalue && !isArr2Rvalue) {
-            NDArray res = std::move(*result);
-            delete result;
-            return std::move(res);
+            if(!isArr1Rvalue && !isArr2Rvalue) {
+                NDArray res = std::move(*result);
+                delete result;
+                return std::move(res);
+            }
+
+            return std::move(*result);
         }
 
-        return std::move(*result);
+        return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Divide(), std::forward(arr2));
     }
-
-    return std::forward(arr1).applyTrueBroadcast(sd::BroadcastOpsTuple::Divide(), std::forward(arr2));
-}
-template ND4J_EXPORT NDArray operator/(NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator/(NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator/(NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr1, NDArray& arr2);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr1, NDArray&& arr2);
-template ND4J_EXPORT NDArray operator/(const NDArray& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr1, const NDArray& arr2);
-template ND4J_EXPORT NDArray operator/(NDArray&& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator/(NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator/(NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator/(NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr1, NDArray& arr2);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr1, NDArray&& arr2);
+    template ND4J_EXPORT NDArray operator/(const NDArray& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr1, const NDArray& arr2);
+    template ND4J_EXPORT NDArray operator/(NDArray&& arr1, NDArray&& arr2);
 
 
 /*
diff --git a/libnd4j/include/array/NDArrayFactory.h b/libnd4j/include/array/NDArrayFactory.h
index f25c68fb4..f8cd5e4a6 100644
--- a/libnd4j/include/array/NDArrayFactory.h
+++ b/libnd4j/include/array/NDArrayFactory.h
@@ -1,24 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver119 on 2018-09-16.
 // @author Oleg Semeniv 
-//
+// @author Abdelrauf
 
 #ifndef DEV_TESTS_NDARRAYFACTORY_H
 #define DEV_TESTS_NDARRAYFACTORY_H
@@ -32,6 +35,7 @@
 
 
 namespace sd {
+
     class ND4J_EXPORT NDArrayFactory {
     private:
         template 
@@ -58,6 +62,10 @@ namespace sd {
         template 
         static NDArray* linspace(T from, T to, Nd4jLong numElements);
 
+        static NDArray create(const ShapeDescriptor& shapeDescriptor, sd::LaunchContext * context = sd::LaunchContext ::defaultContext());
+
+        static NDArray create(const char order, const std::vector& shape, sd::DataType dataType, const std::vector& paddings, const std::vector& paddingOffsets, sd::LaunchContext * context = sd::LaunchContext ::defaultContext());
+
 
         template 
         static NDArray* create_(const T value, sd::LaunchContext * context = sd::LaunchContext ::defaultContext());
diff --git a/libnd4j/include/array/NDArrayLambda.hXX b/libnd4j/include/array/NDArrayLambda.hXX
index f213b6aa6..07f3f6684 100644
--- a/libnd4j/include/array/NDArrayLambda.hXX
+++ b/libnd4j/include/array/NDArrayLambda.hXX
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/NDArrayList.h b/libnd4j/include/array/NDArrayList.h
index e446213f2..cda2c9813 100644
--- a/libnd4j/include/array/NDArrayList.h
+++ b/libnd4j/include/array/NDArrayList.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/PointerDeallocator.h b/libnd4j/include/array/PointerDeallocator.h
index 5bf820421..5c72c82f5 100644
--- a/libnd4j/include/array/PointerDeallocator.h
+++ b/libnd4j/include/array/PointerDeallocator.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/PointerWrapper.h b/libnd4j/include/array/PointerWrapper.h
index 9e15aaaa3..98c0f03d2 100644
--- a/libnd4j/include/array/PointerWrapper.h
+++ b/libnd4j/include/array/PointerWrapper.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/PrimaryPointerDeallocator.h b/libnd4j/include/array/PrimaryPointerDeallocator.h
index b4fe34764..9ba9da60c 100644
--- a/libnd4j/include/array/PrimaryPointerDeallocator.h
+++ b/libnd4j/include/array/PrimaryPointerDeallocator.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/ResultSet.h b/libnd4j/include/array/ResultSet.h
index 6c80e7b18..8b3bcde64 100644
--- a/libnd4j/include/array/ResultSet.h
+++ b/libnd4j/include/array/ResultSet.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/ShapeDescriptor.h b/libnd4j/include/array/ShapeDescriptor.h
index 6e2299ba0..5d0c4f249 100644
--- a/libnd4j/include/array/ShapeDescriptor.h
+++ b/libnd4j/include/array/ShapeDescriptor.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -16,7 +18,7 @@
 
 //
 //  @author raver119@gmail.com
-//
+//  @author AbdelRauf 
 
 #ifndef DEV_TESTS_SHAPEDESCRIPTOR_H
 #define DEV_TESTS_SHAPEDESCRIPTOR_H
@@ -25,11 +27,18 @@
 #include 
 #include 
 #include 
+#include 
 #include 
 #include 
 
 namespace sd {
 
+
+#define SHAPE_DESC_OK 0
+#define SHAPE_DESC_INCORRECT_STRIDES 1 //strides does not match shapes
+#define SHAPE_DESC_INCORRECT_EWS 2 //ews neither matches stride nor continuity
+#define SHAPE_DESC_INCORRECT_RANK 4 //rank > 32 or shape size and rank does not match
+
 class ND4J_EXPORT ShapeDescriptor {
 
     private:
@@ -39,7 +48,8 @@ class ND4J_EXPORT ShapeDescriptor {
         Nd4jLong _ews = 1;
         char _order = 'c';
         DataType _dataType;
-        bool _empty = false;
+        Nd4jLong _extraProperties = 0;
+        Nd4jLong _paddedAllocSize = 0;
 
     public:
         ShapeDescriptor(const ShapeDescriptor &other);
@@ -49,11 +59,12 @@ class ND4J_EXPORT ShapeDescriptor {
         explicit ShapeDescriptor(const Nd4jLong *shapeInfo, const Nd4jLong *dtypeOverride, const Nd4jLong *orderOverride);
         explicit ShapeDescriptor(const DataType type, const Nd4jLong length);
         explicit ShapeDescriptor(const DataType type, const char order, const Nd4jLong *shape, const int rank);
-        explicit ShapeDescriptor(const DataType type, const char order, const Nd4jLong *shape, const Nd4jLong *strides, const int rank, Nd4jLong ews, const bool empty);
         explicit ShapeDescriptor(const DataType type, const char order, const std::initializer_list &shape);
         explicit ShapeDescriptor(const DataType type, const char order, const std::vector &shape);
         explicit ShapeDescriptor(const DataType type, const char order, const std::vector &shape, const std::vector &strides);
         explicit ShapeDescriptor(const DataType type, const char order, const std::vector &shape, const std::vector &strides, const Nd4jLong ews);
+        explicit ShapeDescriptor(const DataType type, const char order, const Nd4jLong *shape, const Nd4jLong *strides, const int rank, Nd4jLong ews, Nd4jLong extras);
+
         ShapeDescriptor() = default;
         ~ShapeDescriptor() = default;
 
@@ -66,6 +77,12 @@ class ND4J_EXPORT ShapeDescriptor {
         std::vector& shape();
         std::vector& strides();
 
+        //returns minimal allocation length
+        Nd4jLong allocLength() const;
+
+        //returns Status for the correctness
+        Nd4jLong validate() const;
+
         // we use default copy assignment operator
         ShapeDescriptor& operator=(const ShapeDescriptor& other) = default;
 
@@ -81,9 +98,13 @@ class ND4J_EXPORT ShapeDescriptor {
         Nd4jLong* toShapeInfo() const;
 
 
+
         static ShapeDescriptor emptyDescriptor(const DataType type);
         static ShapeDescriptor scalarDescriptor(const DataType type);
         static ShapeDescriptor vectorDescriptor(const Nd4jLong length, const DataType type);
+
+        //create Descriptor with padded buffer.
+        static ShapeDescriptor paddedBufferDescriptor(const DataType type, const char order, const std::vector& shape, const std::vector& paddings);
     };
 }
 
diff --git a/libnd4j/include/array/ShapeList.h b/libnd4j/include/array/ShapeList.h
index f0034ac81..2f3e5984c 100644
--- a/libnd4j/include/array/ShapeList.h
+++ b/libnd4j/include/array/ShapeList.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/SpaceType.h b/libnd4j/include/array/SpaceType.h
index b6c6dfbbc..e242ee10c 100644
--- a/libnd4j/include/array/SpaceType.h
+++ b/libnd4j/include/array/SpaceType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/SparseType.h b/libnd4j/include/array/SparseType.h
index 3b77a1626..40b96b156 100644
--- a/libnd4j/include/array/SparseType.h
+++ b/libnd4j/include/array/SparseType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/TadDescriptor.h b/libnd4j/include/array/TadDescriptor.h
index 01ea1caa1..fc1abe9d1 100644
--- a/libnd4j/include/array/TadDescriptor.h
+++ b/libnd4j/include/array/TadDescriptor.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/TadPack.h b/libnd4j/include/array/TadPack.h
index f7ca15fd9..2665bcd25 100644
--- a/libnd4j/include/array/TadPack.h
+++ b/libnd4j/include/array/TadPack.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/cpu/DataBuffer.cpp b/libnd4j/include/array/cpu/DataBuffer.cpp
index 2575e2ba4..b2996c0ca 100644
--- a/libnd4j/include/array/cpu/DataBuffer.cpp
+++ b/libnd4j/include/array/cpu/DataBuffer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/cpu/NDArray.cpp b/libnd4j/include/array/cpu/NDArray.cpp
index 398ebe5e8..78a50e83c 100644
--- a/libnd4j/include/array/cpu/NDArray.cpp
+++ b/libnd4j/include/array/cpu/NDArray.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/cpu/NDArray.macro b/libnd4j/include/array/cpu/NDArray.macro
index 5fbb56378..67d09125d 100644
--- a/libnd4j/include/array/cpu/NDArray.macro
+++ b/libnd4j/include/array/cpu/NDArray.macro
@@ -1,10 +1,13 @@
 ################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
+# 
 #
 # This program and the accompanying materials are made available under the
 # terms of the Apache License, Version 2.0 which is available at
 # https://www.apache.org/licenses/LICENSE-2.0.
 #
+# See the NOTICE file distributed with this work for additional
+# information regarding copyright ownership.
+
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/cpu/NDArrayLambda.hpp b/libnd4j/include/array/cpu/NDArrayLambda.hpp
index bd8742288..c3899628b 100644
--- a/libnd4j/include/array/cpu/NDArrayLambda.hpp
+++ b/libnd4j/include/array/cpu/NDArrayLambda.hpp
@@ -1,6 +1,22 @@
-
-
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 template
 void NDArray::applyTriplewiseLambda(NDArray& second, NDArray& third, const std::function& func, NDArray& target) {
 
diff --git a/libnd4j/include/array/cuda/CudaPointerDeallocator.cu b/libnd4j/include/array/cuda/CudaPointerDeallocator.cu
index 7367382ba..8e84595e0 100644
--- a/libnd4j/include/array/cuda/CudaPointerDeallocator.cu
+++ b/libnd4j/include/array/cuda/CudaPointerDeallocator.cu
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/cuda/DataBuffer.cu b/libnd4j/include/array/cuda/DataBuffer.cu
index 7e88e06ba..0ae85d67a 100644
--- a/libnd4j/include/array/cuda/DataBuffer.cu
+++ b/libnd4j/include/array/cuda/DataBuffer.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/cuda/NDArray.cu b/libnd4j/include/array/cuda/NDArray.cu
index f28e2ba22..ff2ed69c9 100644
--- a/libnd4j/include/array/cuda/NDArray.cu
+++ b/libnd4j/include/array/cuda/NDArray.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ByteOrderUtils.cpp b/libnd4j/include/array/impl/ByteOrderUtils.cpp
index 0220ccac8..c5bb4120b 100644
--- a/libnd4j/include/array/impl/ByteOrderUtils.cpp
+++ b/libnd4j/include/array/impl/ByteOrderUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ConstantDataBuffer.cpp b/libnd4j/include/array/impl/ConstantDataBuffer.cpp
index 2aeda3b6d..4561929af 100644
--- a/libnd4j/include/array/impl/ConstantDataBuffer.cpp
+++ b/libnd4j/include/array/impl/ConstantDataBuffer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ConstantDescriptor.cpp b/libnd4j/include/array/impl/ConstantDescriptor.cpp
index 829ac5b34..f25eb406b 100644
--- a/libnd4j/include/array/impl/ConstantDescriptor.cpp
+++ b/libnd4j/include/array/impl/ConstantDescriptor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ConstantHolder.cpp b/libnd4j/include/array/impl/ConstantHolder.cpp
index 08637862c..bc9914ff8 100644
--- a/libnd4j/include/array/impl/ConstantHolder.cpp
+++ b/libnd4j/include/array/impl/ConstantHolder.cpp
@@ -1,10 +1,15 @@
 /**
 * Copyright (c) 2019 Konduit K.K.
  *
+/* ******************************************************************************
+ *
+ *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ConstantOffsetsBuffer.cpp b/libnd4j/include/array/impl/ConstantOffsetsBuffer.cpp
index 38b516a84..a4a3dba3e 100644
--- a/libnd4j/include/array/impl/ConstantOffsetsBuffer.cpp
+++ b/libnd4j/include/array/impl/ConstantOffsetsBuffer.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/array/impl/ConstantShapeBuffer.cpp b/libnd4j/include/array/impl/ConstantShapeBuffer.cpp
index 528101100..f27ce3da1 100644
--- a/libnd4j/include/array/impl/ConstantShapeBuffer.cpp
+++ b/libnd4j/include/array/impl/ConstantShapeBuffer.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/array/impl/DataBuffer.cpp b/libnd4j/include/array/impl/DataBuffer.cpp
index 89c386c3d..49890564e 100644
--- a/libnd4j/include/array/impl/DataBuffer.cpp
+++ b/libnd4j/include/array/impl/DataBuffer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/DataTypeUtils.cpp b/libnd4j/include/array/impl/DataTypeUtils.cpp
index 481fa4149..38669d061 100644
--- a/libnd4j/include/array/impl/DataTypeUtils.cpp
+++ b/libnd4j/include/array/impl/DataTypeUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ExtraArguments.cpp b/libnd4j/include/array/impl/ExtraArguments.cpp
index 084f327cc..f481d8bec 100644
--- a/libnd4j/include/array/impl/ExtraArguments.cpp
+++ b/libnd4j/include/array/impl/ExtraArguments.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/InteropDataBuffer.cpp b/libnd4j/include/array/impl/InteropDataBuffer.cpp
index d0a381612..2b80294d3 100644
--- a/libnd4j/include/array/impl/InteropDataBuffer.cpp
+++ b/libnd4j/include/array/impl/InteropDataBuffer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -31,7 +33,8 @@ namespace sd {
         _offset = offset;
 
         if (_offset + length > _dataBuffer->getLenInBytes()) {
-            throw std::runtime_error("offset + length is higher than original length");
+            this->expand(length);
+            nd4j_debug("Expanding data buffer length by %d\n",length);
         }
     }
 
diff --git a/libnd4j/include/array/impl/NDArrayFactory.cpp b/libnd4j/include/array/impl/NDArrayFactory.cpp
index f14aa9dbb..570d95c1c 100644
--- a/libnd4j/include/array/impl/NDArrayFactory.cpp
+++ b/libnd4j/include/array/impl/NDArrayFactory.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by GS  on 2018-12-20.
@@ -30,12 +33,55 @@
 
 
 
-
+#include 
 #include 
 #include 
 
 namespace sd {
 
+    ND4J_EXPORT NDArray NDArrayFactory::create(const ShapeDescriptor& shapeDescriptor, sd::LaunchContext * context){
+        auto status = shapeDescriptor.validate();
+        if(status !=  SHAPE_DESC_OK){
+            nd4j_printf("NDArrayFactory::create: ShapeDescriptor status code [%d]\n", status );
+            throw std::invalid_argument("NDArrayFactory::create: invalid ShapeDescriptor ");
+        }
+        Nd4jLong allocSize = shapeDescriptor.allocLength() * DataTypeUtils::sizeOfElement(shapeDescriptor.dataType());
+        std::shared_ptr buffer = std::make_shared(allocSize, shapeDescriptor.dataType(), context->getWorkspace());
+        NDArray result(buffer, shapeDescriptor, context);
+        result.nullify();
+        return result;
+    }
+
+    ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector& shape, sd::DataType dataType, const std::vector& paddings, const std::vector &paddingOffsets, sd::LaunchContext * context) {
+        int rank = shape.size();
+        if ( rank > MAX_RANK)
+            throw std::invalid_argument("NDArrayFactory::create: rank of NDArray can't exceed 32");
+
+        if(paddings.size() != rank ){
+            throw std::invalid_argument("NDArrayFactory::create: paddings size should match rank ");
+        }
+
+        auto shapeDescriptor = ShapeDescriptor::paddedBufferDescriptor(dataType, order, shape, paddings);
+
+        Nd4jLong allocSize = shapeDescriptor.allocLength() * DataTypeUtils::sizeOfElement(shapeDescriptor.dataType());
+        std::shared_ptr buffer = std::make_shared(allocSize, shapeDescriptor.dataType(), context->getWorkspace());
+        
+        //lets check offsets
+        int check_size = paddingOffsets.size() < rank ? paddingOffsets.size() : rank;
+        
+        for(int i=0; i< check_size; i++){
+            if(paddingOffsets[i]>paddings[i]){
+                throw std::invalid_argument("NDArrayFactory::create: paddingOffsets numbers should not exceed corresponding paddings");
+            }
+        }
+
+        Nd4jLong offset = offset_from_coords(shapeDescriptor.strides().data(), paddingOffsets.data(), check_size);
+
+        NDArray result(buffer, shapeDescriptor, context, offset);
+        result.nullify();
+        return result;
+    }
+
     ////////////////////////////////////////////////////////////////////////
     template <>
     ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector &shape, const std::vector &data, sd::LaunchContext * context) {
diff --git a/libnd4j/include/array/impl/NDArrayList.cpp b/libnd4j/include/array/impl/NDArrayList.cpp
index 1aa9d2d4b..8c48e16e1 100644
--- a/libnd4j/include/array/impl/NDArrayList.cpp
+++ b/libnd4j/include/array/impl/NDArrayList.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/PointerDeallocator.cpp b/libnd4j/include/array/impl/PointerDeallocator.cpp
index 2cd41cdda..caabd0427 100644
--- a/libnd4j/include/array/impl/PointerDeallocator.cpp
+++ b/libnd4j/include/array/impl/PointerDeallocator.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/impl/PointerWrapper.cpp b/libnd4j/include/array/impl/PointerWrapper.cpp
index b39cb54aa..e9bc0f31c 100644
--- a/libnd4j/include/array/impl/PointerWrapper.cpp
+++ b/libnd4j/include/array/impl/PointerWrapper.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/impl/PrimaryPointerDeallocator.cpp b/libnd4j/include/array/impl/PrimaryPointerDeallocator.cpp
index edd58d610..5c47bbea0 100644
--- a/libnd4j/include/array/impl/PrimaryPointerDeallocator.cpp
+++ b/libnd4j/include/array/impl/PrimaryPointerDeallocator.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/array/impl/ResultSet.cpp b/libnd4j/include/array/impl/ResultSet.cpp
index d9d824d46..a49545c72 100644
--- a/libnd4j/include/array/impl/ResultSet.cpp
+++ b/libnd4j/include/array/impl/ResultSet.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/ShapeDescriptor.cpp b/libnd4j/include/array/impl/ShapeDescriptor.cpp
index 3ef096312..675576eca 100644
--- a/libnd4j/include/array/impl/ShapeDescriptor.cpp
+++ b/libnd4j/include/array/impl/ShapeDescriptor.cpp
@@ -1,10 +1,16 @@
 /*******************************************************************************
  * Copyright (c) 2015-2018 Skymind, Inc.
+ * Copyright (c) 2019-2020 Konduit K.K.
+ * 
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -16,19 +22,20 @@
 
 //
 //  @author raver119@gmail.com
-//
+//  @author AbdelRauf 
 
 #include 
 #include 
 #include 
 
+
 namespace sd {
 
 //////////////////////////////////////////////////////////////////////////
 // equal to operator
     bool ShapeDescriptor::operator==(const ShapeDescriptor &other) const {
 
-        if (_empty != other._empty)
+        if (_extraProperties != other._extraProperties)
             return false;
         if (_rank != other._rank)
             return false;
@@ -51,13 +58,14 @@ namespace sd {
 //////////////////////////////////////////////////////////////////////////
 // less than operator
     bool ShapeDescriptor::operator<(const ShapeDescriptor &other) const {
-        return std::tie(_empty, _rank, _dataType, _ews, _order, _shape, _strides) <
-               std::tie(other._empty, other._rank, other._dataType, other._ews, other._order, other._shape,
+        return std::tie(_extraProperties, _rank, _dataType, _ews, _order, _shape, _strides) <
+               std::tie(other._extraProperties, other._rank, other._dataType, other._ews, other._order, other._shape,
                         other._strides);
     }
 
     Nd4jLong *ShapeDescriptor::toShapeInfo() const {
-        if (_empty) {
+        //for empy array use original
+        if (isEmpty()) {
             if (_rank == 0)
                 return ShapeBuilders::emptyShapeInfo(_dataType);
             else {
@@ -65,31 +73,29 @@ namespace sd {
             }
         }
 
-
+        Nd4jLong * shapeInfo;
         switch (_rank) {
             case 0: {
-                auto shapeInfo = ShapeBuilders::createScalarShapeInfo(_dataType);
+                shapeInfo = ShapeBuilders::createScalarShapeInfo(_dataType);
                 shapeInfo[2] = _ews;
-                return shapeInfo;
             }
+            break;
             case 1: {
-                auto shapeInfo = ShapeBuilders::createVectorShapeInfo(_dataType, _shape[0]);
+                shapeInfo = ShapeBuilders::createVectorShapeInfo(_dataType, _shape[0]);
                 shapeInfo[2 + _rank * 2] = _ews;
                 shapeInfo[2] = _strides[0];
                 shapeInfo[2 + _rank * 2 + 1] = _order;
-                return shapeInfo;
             }
+            break;
             default: {
-                auto shapeInfo = ShapeBuilders::createShapeInfo(_dataType, _order, _shape);
-
+                shapeInfo = ShapeBuilders::createShapeInfo(_dataType, _order, _shape);
                 for (int e = 0; e < _rank; e++)
                     shapeInfo[e + 1 + _rank] = _strides[e];
-
                 shapeInfo[2 + _rank * 2] = _ews;
-
-                return shapeInfo;
             }
         }
+        ArrayOptions::setPropertyBit(shapeInfo, _extraProperties);
+        return shapeInfo;
     }
 
     ShapeDescriptor::ShapeDescriptor(const DataType type, const char order, const Nd4jLong *shape, const int rank)
@@ -105,24 +111,23 @@ namespace sd {
         else
             shape::calcStridesFortran(_shape.data(), _shape.size(), _strides.data());
 
-
         for (auto v:_shape) {
             if (v == 0) {
-                _empty = true;
+                _extraProperties = ARRAY_EMPTY;
                 break;
             }
         }
     }
 
     ShapeDescriptor::ShapeDescriptor(const DataType type, const char order, const Nd4jLong *shape,
-                                     const Nd4jLong *strides, const int rank, Nd4jLong ews, const bool empty) {
+                                     const Nd4jLong *strides, const int rank, Nd4jLong ews, Nd4jLong extras) {
         _shape.resize(rank);
         _strides.resize(rank);
 
         _dataType = type;
         _order = order;
         _rank = rank;
-        _empty = empty;
+        _extraProperties = extras;
         _ews = ews;
 
         for (int e = 0; e < rank; e++)
@@ -134,7 +139,7 @@ namespace sd {
 
         for (auto v:_shape) {
             if (v == 0) {
-                _empty = true;
+                _extraProperties |= ARRAY_EMPTY;
                 break;
             }
         }
@@ -151,13 +156,12 @@ namespace sd {
 
             for (auto v:_shape) {
                 if (v == 0) {
-                    _empty = true;
+                    _extraProperties |= ARRAY_EMPTY;
                     break;
                 }
             }
-
             // no point calculating strides for empty arrays
-            if (!_empty) {
+            if (!isEmpty()) {
                 if (order == 'c')
                     shape::calcStrides(_shape.data(), shape.size(), _strides.data());
                 else
@@ -184,7 +188,7 @@ namespace sd {
 
         for (auto v:_shape) {
             if (v == 0) {
-                _empty = true;
+                _extraProperties |= ARRAY_EMPTY;
                 break;
             }
         }
@@ -201,7 +205,7 @@ namespace sd {
 
     ShapeDescriptor::ShapeDescriptor(const DataType type, const Nd4jLong length) : _dataType(type), _ews(1),
                                                                                    _order('c'), _rank(1),
-                                                                                   _empty(false) {
+                                                                                   _extraProperties(0) {
         _shape = {length};
         _strides = {1};
     }
@@ -211,15 +215,14 @@ namespace sd {
         _ews = shape::elementWiseStride(shapeInfo);
         _rank = shape::rank(shapeInfo);
 
+        _extraProperties = ArrayOptions::propertyWithoutDataType(shapeInfo);
         if (inheritDtype)
             _dataType = ArrayOptions::dataType(shapeInfo);
 
-        _empty = shape::isEmpty(shapeInfo);
-
         for (int e = 0; e < _rank; e++) {
             _shape.emplace_back(shapeInfo[e + 1]);
             if (shapeInfo[e + 1] == 0)
-                _empty = true;
+                _extraProperties |= ARRAY_EMPTY;
         }
 
         for (int e = 0; e < _rank; e++)
@@ -252,13 +255,64 @@ namespace sd {
     }
 
     Nd4jLong ShapeDescriptor::arrLength() const {
-
+        //when _ews == 1 allocation length is also array length
         Nd4jLong len = 1;
-        for (const auto &dim : const_cast(this)->shape())
+        for (const auto& dim : _shape)
             len *= dim;
         return len;
     }
 
+    Nd4jLong ShapeDescriptor::allocLength() const {
+        if (_paddedAllocSize > 0) return _paddedAllocSize;
+        Nd4jLong len = 1;
+        if (_ews == 1 && _rank>1) {
+            //calculate using max stride
+            int ind = _order == 'c' ? 0:  _rank - 1;
+            return _shape[ind] * _strides[ind];
+        }
+        for (int i = 0; i < _rank; i++) {
+            len += (_shape[i] - 1) * _strides[i];
+        }
+        return len;
+    }
+
+    Nd4jLong ShapeDescriptor::validate() const {
+        auto status = SHAPE_DESC_OK;
+        bool is_continous = true;
+        if (_rank != _shape.size() || _rank > MAX_RANK) status |= SHAPE_DESC_INCORRECT_RANK;
+        bool ranks_match = (_strides.size() == _shape.size());
+        if (!ranks_match) status = status | SHAPE_DESC_INCORRECT_STRIDES;
+        if (_rank > 0 && ranks_match) {
+            if (_order == 'c') {
+                for (int j = _rank - 2; j >= 0; j--) {
+                    Nd4jLong currentStride = _strides[j];
+                    Nd4jLong allowedStride = _strides[j + 1] * _shape[j + 1];
+                    if (currentStride < allowedStride) {
+                        status = status | SHAPE_DESC_INCORRECT_STRIDES;
+                        break;
+                    }
+                    is_continous = is_continous & (currentStride == allowedStride);
+                }
+            }
+            else {
+                for (int j = 1; j < _rank; j++) {
+                    Nd4jLong currentStride = _strides[j];
+                    Nd4jLong allowedStride = _strides[j - 1] * _shape[j - 1];
+                    if (currentStride < allowedStride) {
+                        status = status | SHAPE_DESC_INCORRECT_STRIDES;
+                        break;
+                    }
+                    is_continous = is_continous & (currentStride == allowedStride);
+                }
+            }
+
+            int index = (_order == 'c') ? _rank - 1 : 0;
+            auto correctEws = is_continous ? _strides[index] : 0;
+            if (correctEws != _ews) status = status | SHAPE_DESC_INCORRECT_EWS;
+        }
+        return status;
+    }
+
     char ShapeDescriptor::order() const {
         return _order;
     }
@@ -268,7 +322,7 @@ namespace sd {
     }
 
     bool ShapeDescriptor::isEmpty() const {
-        return _empty;
+        return _extraProperties & ARRAY_EMPTY;
     }
 
     std::vector &ShapeDescriptor::shape() {
@@ -282,18 +336,19 @@ namespace sd {
     ShapeDescriptor::ShapeDescriptor(const ShapeDescriptor &other) {
         _rank = other._rank;
         _ews = other._ews;
-        _empty = other._empty;
+        _extraProperties = other._extraProperties;
         _dataType = other._dataType;
         _order = other._order;
         _shape = other._shape;
         _strides = other._strides;
+        _paddedAllocSize = other._paddedAllocSize;
     }
 
 //////////////////////////////////////////////////////////////////////////
     ShapeDescriptor::ShapeDescriptor(const DataType type, const char order, const std::vector &shape,
                                      const std::vector &strides) : _dataType(type), _order(order),
                                                                              _shape(shape) {
-
+        _rank = shape.size();
         if (strides.empty() && !shape.empty()) {
             _strides.resize(shape.size());
             if (order == 'c')
@@ -307,7 +362,7 @@ namespace sd {
 
         for (auto v:_shape) {
             if (v == 0) {
-                _empty = true;
+                _extraProperties |= ARRAY_EMPTY;
                 break;
             }
         }
@@ -316,7 +371,7 @@ namespace sd {
     ShapeDescriptor ShapeDescriptor::emptyDescriptor(const DataType type) {
         ShapeDescriptor descriptor;
         descriptor._dataType = type;
-        descriptor._empty = true;
+        descriptor._extraProperties = ARRAY_EMPTY;
         descriptor._rank = 0;
         descriptor._order = 'c';
         descriptor._ews = 1;
@@ -327,7 +382,7 @@ namespace sd {
     ShapeDescriptor ShapeDescriptor::scalarDescriptor(const DataType type) {
         ShapeDescriptor descriptor;
         descriptor._dataType = type;
-        descriptor._empty = false;
+        descriptor._extraProperties = 0;
         descriptor._rank = 0;
         descriptor._order = 'c';
         descriptor._ews = 1;
@@ -344,7 +399,7 @@ namespace sd {
             descriptor._strides.emplace_back(1);
         else {
             descriptor._strides.emplace_back(0);
-            descriptor._empty = true;
+            descriptor._extraProperties = ARRAY_EMPTY;
         }
 
         descriptor._order = 'c';
@@ -353,6 +408,58 @@ namespace sd {
 
         return descriptor;
     }
+
+    ShapeDescriptor ShapeDescriptor::paddedBufferDescriptor(const DataType type, const char order, const std::vector& shape, const std::vector& paddings) {
+        ShapeDescriptor descriptor;
+        descriptor._dataType = type;
+        descriptor._order = order;
+        descriptor._shape = shape;
+        descriptor._rank = shape.size();
+        descriptor._strides.resize(shape.size());
+        descriptor._extraProperties = 0;
+        if (descriptor._rank < 1) {
+            descriptor._ews = 1;
+            return descriptor;
+        }
+        //calculate strides with paddings
+        int min_rank = descriptor._rank > paddings.size() ? paddings.size() : descriptor._rank;
+        bool is_continous = true;
+        if (order == 'c') {
+            
+            descriptor._strides[descriptor._rank - 1] = 1L;
+            for (int j = descriptor._rank - 2; j >= 0; j--) {
+                Nd4jLong pad = (j + 1 < min_rank) ? paddings[j + 1] : 0;
+                descriptor._strides[j] = descriptor._strides[j + 1] * (descriptor._shape[j + 1] + pad);
+                descriptor._extraProperties = descriptor._extraProperties | (descriptor._shape[j + 1] == 0);
+                if (pad != 0) is_continous = false;
+            }
+            if (!is_continous && descriptor._rank > 0) {
+                Nd4jLong size_pad =  paddings.size()>0 ? paddings[0] : 0;
+                //alloc size should be supplied manually as we dont have place to store it
+                descriptor._paddedAllocSize = descriptor._strides[0] * (descriptor._shape[0] + size_pad);
+            }
+        }
+        else {
+            descriptor._strides[0] = 1L;
+            for (int j = 1; j < descriptor._rank; j++) {
+                Nd4jLong pad = (j - 1 < min_rank) ? paddings[j - 1] : 0;
+                descriptor._strides[j] = descriptor._strides[j - 1] * (descriptor._shape[j - 1] + pad);
+                descriptor._extraProperties = descriptor._extraProperties | (descriptor._shape[j - 1] == 0);
+                if (pad != 0) is_continous = false;
+            }
+            if (!is_continous && descriptor._rank > 0) {
+                Nd4jLong size_pad =  paddings.size()>=descriptor._rank  ? paddings[descriptor._rank-1] : 0;
+                //alloc size should be supplied manually as we dont have place to store it
+                descriptor._paddedAllocSize = descriptor._strides[descriptor._rank-1] * (descriptor._shape[descriptor._rank-1] + size_pad);
+            }
+        }
+
+        descriptor._ews = is_continous ? 1 : 0;
+        if(!is_continous)  descriptor._extraProperties |= ARRAY_HAS_PADDED_BUFFER;
+        return descriptor;
+    }
+
+
 }
 
 namespace std {
diff --git a/libnd4j/include/array/impl/ShapeList.cpp b/libnd4j/include/array/impl/ShapeList.cpp
index d26132516..3d1c1479e 100644
--- a/libnd4j/include/array/impl/ShapeList.cpp
+++ b/libnd4j/include/array/impl/ShapeList.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/TadDescriptor.cpp b/libnd4j/include/array/impl/TadDescriptor.cpp
index e2ec7480e..e72ef3db6 100644
--- a/libnd4j/include/array/impl/TadDescriptor.cpp
+++ b/libnd4j/include/array/impl/TadDescriptor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/array/impl/TadPack.cpp b/libnd4j/include/array/impl/TadPack.cpp
index e489d0e83..756c50590 100644
--- a/libnd4j/include/array/impl/TadPack.cpp
+++ b/libnd4j/include/array/impl/TadPack.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/build_info.cpp b/libnd4j/include/build_info.cpp
new file mode 100644
index 000000000..40830971c
--- /dev/null
+++ b/libnd4j/include/build_info.cpp
@@ -0,0 +1,64 @@
+/* ******************************************************************************
+ *
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
+ * https://www.apache.org/licenses/LICENSE-2.0.
+ *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ ******************************************************************************/
+
+#include 
+#include 
+
+const char* buildInfo() {
+	return ""
+#if defined(__clang__)
+        "Clang: " TOSTRING(__clang_version__)
+#elif defined(_MSC_VER)
+        "MSVC: " TOSTRING(_MSC_FULL_VER)
+#else
+        "GCC: " TOSTRING(__VERSION__)
+#endif
+#if defined(_MSC_VER) && defined(_MSVC_LANG)  
+        "\nSTD version: " TOSTRING(_MSVC_LANG)
+#elif defined(__cplusplus)
+        "\nSTD version: " TOSTRING(__cplusplus)
+#endif
+
+#if defined(__CUDACC__)
+        "\nCUDA: " TOSTRING(__CUDACC_VER_MAJOR__)
+        "."  TOSTRING(__CUDACC_VER_MINOR__)
+        "." TOSTRING(__CUDACC_VER_BUILD__)
+#endif
+#if defined(DEFAULT_ENGINE)
+        "\nDEFAULT_ENGINE: " TOSTRING(DEFAULT_ENGINE)
+#endif
+#if defined(HAVE_FLATBUFFERS)
+        "\nHAVE_FLATBUFFERS"
+#endif
+#if defined(HAVE_MKLDNN)
+        "\nHAVE_MKLDNN"
+#endif
+#if defined(__EXTERNAL_BLAS__)
+        "\nHAVE_EXTERNAL_BLAS"
+#endif
+#if defined(HAVE_OPENBLAS)
+        "\nHAVE_OPENBLAS"
+#endif
+#if defined(HAVE_CUDNN)
+        "\nHAVE_CUDNN"
+#endif
+#if defined(HAVE_ARMCOMPUTE)
+        "\nHAVE_ARMCOMPUTE"
+#endif
+		;
+}
diff --git a/libnd4j/include/build_info.cu b/libnd4j/include/build_info.cu
new file mode 100644
index 000000000..40830971c
--- /dev/null
+++ b/libnd4j/include/build_info.cu
@@ -0,0 +1,64 @@
+/* ******************************************************************************
+ *
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
+ * https://www.apache.org/licenses/LICENSE-2.0.
+ *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ ******************************************************************************/
+
+#include 
+#include 
+
+const char* buildInfo() {
+	return ""
+#if defined(__clang__)
+        "Clang: " TOSTRING(__clang_version__)
+#elif defined(_MSC_VER)
+        "MSVC: " TOSTRING(_MSC_FULL_VER)
+#else
+        "GCC: " TOSTRING(__VERSION__)
+#endif
+#if defined(_MSC_VER) && defined(_MSVC_LANG)  
+        "\nSTD version: " TOSTRING(_MSVC_LANG)
+#elif defined(__cplusplus)
+        "\nSTD version: " TOSTRING(__cplusplus)
+#endif
+
+#if defined(__CUDACC__)
+        "\nCUDA: " TOSTRING(__CUDACC_VER_MAJOR__)
+        "."  TOSTRING(__CUDACC_VER_MINOR__)
+        "." TOSTRING(__CUDACC_VER_BUILD__)
+#endif
+#if defined(DEFAULT_ENGINE)
+        "\nDEFAULT_ENGINE: " TOSTRING(DEFAULT_ENGINE)
+#endif
+#if defined(HAVE_FLATBUFFERS)
+        "\nHAVE_FLATBUFFERS"
+#endif
+#if defined(HAVE_MKLDNN)
+        "\nHAVE_MKLDNN"
+#endif
+#if defined(__EXTERNAL_BLAS__)
+        "\nHAVE_EXTERNAL_BLAS"
+#endif
+#if defined(HAVE_OPENBLAS)
+        "\nHAVE_OPENBLAS"
+#endif
+#if defined(HAVE_CUDNN)
+        "\nHAVE_CUDNN"
+#endif
+#if defined(HAVE_ARMCOMPUTE)
+        "\nHAVE_ARMCOMPUTE"
+#endif
+		;
+}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/ModelServingServlet.java b/libnd4j/include/build_info.h
similarity index 55%
rename from nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/ModelServingServlet.java
rename to libnd4j/include/build_info.h
index dc240b4f6..2fd2f5c9e 100644
--- a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/ModelServingServlet.java
+++ b/libnd4j/include/build_info.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -14,17 +16,26 @@
  * SPDX-License-Identifier: Apache-2.0
  ******************************************************************************/
 
-package org.nd4j.remote.serving;
+#ifndef LIBND4J_BUILD_INFO_H
+#define LIBND4J_BUILD_INFO_H
 
-import javax.servlet.Servlet;
+#ifdef  _WIN32
+#define ND4J_EXPORT   __declspec( dllexport )
+#else
+#define ND4J_EXPORT
+#endif
 
-/**
- * This interface describes Servlet interface extension, suited for ND4J/DL4J model serving
- * @param 
- * @param 
- *
- * @author raver119@gmail.com
- */
-public interface ModelServingServlet extends Servlet {
-    //
+#define STRINGIFY(x) #x
+#define TOSTRING(x) STRINGIFY(x)
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+ND4J_EXPORT const char* buildInfo();
+
+#ifdef __cplusplus
 }
+#endif
+
+#endif
diff --git a/libnd4j/include/cblas.h b/libnd4j/include/cblas.h
index 18970a9b0..f86486e5f 100755
--- a/libnd4j/include/cblas.h
+++ b/libnd4j/include/cblas.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/cblas_enum_conversion.h b/libnd4j/include/cblas_enum_conversion.h
index 6ff6fe557..88c66682e 100755
--- a/libnd4j/include/cblas_enum_conversion.h
+++ b/libnd4j/include/cblas_enum_conversion.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/allocation_exception.h b/libnd4j/include/exceptions/allocation_exception.h
index 1e9b6653b..4a21584e3 100644
--- a/libnd4j/include/exceptions/allocation_exception.h
+++ b/libnd4j/include/exceptions/allocation_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/cuda_exception.h b/libnd4j/include/exceptions/cuda_exception.h
index 2dc98eec3..91179d4a6 100644
--- a/libnd4j/include/exceptions/cuda_exception.h
+++ b/libnd4j/include/exceptions/cuda_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/datatype_exception.h b/libnd4j/include/exceptions/datatype_exception.h
index 74829d54c..a244c0d3c 100644
--- a/libnd4j/include/exceptions/datatype_exception.h
+++ b/libnd4j/include/exceptions/datatype_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/graph_exception.h b/libnd4j/include/exceptions/graph_exception.h
index 7c9345a4d..ebd6cbd5e 100644
--- a/libnd4j/include/exceptions/graph_exception.h
+++ b/libnd4j/include/exceptions/graph_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/graph_execution_exception.h b/libnd4j/include/exceptions/graph_execution_exception.h
index 37f8e636e..a4df70c97 100644
--- a/libnd4j/include/exceptions/graph_execution_exception.h
+++ b/libnd4j/include/exceptions/graph_execution_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/graph_exists_exception.h b/libnd4j/include/exceptions/graph_exists_exception.h
index 63554c31b..e2b7d394d 100644
--- a/libnd4j/include/exceptions/graph_exists_exception.h
+++ b/libnd4j/include/exceptions/graph_exists_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/allocation_exception.cpp b/libnd4j/include/exceptions/impl/allocation_exception.cpp
index 46f2ef5c8..dde566bf5 100644
--- a/libnd4j/include/exceptions/impl/allocation_exception.cpp
+++ b/libnd4j/include/exceptions/impl/allocation_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/cuda_exception.cpp b/libnd4j/include/exceptions/impl/cuda_exception.cpp
index 91de6c251..eb5a732af 100644
--- a/libnd4j/include/exceptions/impl/cuda_exception.cpp
+++ b/libnd4j/include/exceptions/impl/cuda_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/datatype_exception.cpp b/libnd4j/include/exceptions/impl/datatype_exception.cpp
index 9aab37951..25b8933b3 100644
--- a/libnd4j/include/exceptions/impl/datatype_exception.cpp
+++ b/libnd4j/include/exceptions/impl/datatype_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/graph_exception.cpp b/libnd4j/include/exceptions/impl/graph_exception.cpp
index fa2210a1d..26685868c 100644
--- a/libnd4j/include/exceptions/impl/graph_exception.cpp
+++ b/libnd4j/include/exceptions/impl/graph_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/graph_execution_exception.cpp b/libnd4j/include/exceptions/impl/graph_execution_exception.cpp
index 086796517..5405e85d1 100644
--- a/libnd4j/include/exceptions/impl/graph_execution_exception.cpp
+++ b/libnd4j/include/exceptions/impl/graph_execution_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/graph_exists_exception.cpp b/libnd4j/include/exceptions/impl/graph_exists_exception.cpp
index 535a74a6a..7a0818a2b 100644
--- a/libnd4j/include/exceptions/impl/graph_exists_exception.cpp
+++ b/libnd4j/include/exceptions/impl/graph_exists_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/no_results_exception.cpp b/libnd4j/include/exceptions/impl/no_results_exception.cpp
index ce3122ffb..9acb87a7c 100644
--- a/libnd4j/include/exceptions/impl/no_results_exception.cpp
+++ b/libnd4j/include/exceptions/impl/no_results_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/impl/unknown_graph_exception.cpp b/libnd4j/include/exceptions/impl/unknown_graph_exception.cpp
index ad73f3d33..b0a1e2e25 100644
--- a/libnd4j/include/exceptions/impl/unknown_graph_exception.cpp
+++ b/libnd4j/include/exceptions/impl/unknown_graph_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/no_results_exception.h b/libnd4j/include/exceptions/no_results_exception.h
index b2687854b..26ffc7a51 100644
--- a/libnd4j/include/exceptions/no_results_exception.h
+++ b/libnd4j/include/exceptions/no_results_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/exceptions/unknown_graph_exception.h b/libnd4j/include/exceptions/unknown_graph_exception.h
index 917aeb757..8912004f2 100644
--- a/libnd4j/include/exceptions/unknown_graph_exception.h
+++ b/libnd4j/include/exceptions/unknown_graph_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/AffinityManager.h b/libnd4j/include/execution/AffinityManager.h
index 757f637ce..cca0ec77c 100644
--- a/libnd4j/include/execution/AffinityManager.h
+++ b/libnd4j/include/execution/AffinityManager.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/BlockingQueue.h b/libnd4j/include/execution/BlockingQueue.h
index a78196dfc..8463b13d1 100644
--- a/libnd4j/include/execution/BlockingQueue.h
+++ b/libnd4j/include/execution/BlockingQueue.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/CallableInterface.h b/libnd4j/include/execution/CallableInterface.h
index aad83b379..709319af5 100644
--- a/libnd4j/include/execution/CallableInterface.h
+++ b/libnd4j/include/execution/CallableInterface.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/CallableWithArguments.h b/libnd4j/include/execution/CallableWithArguments.h
index 28ef8433e..46fd2575c 100644
--- a/libnd4j/include/execution/CallableWithArguments.h
+++ b/libnd4j/include/execution/CallableWithArguments.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/ContextBuffers.h b/libnd4j/include/execution/ContextBuffers.h
index c14671e42..a11ae8f90 100644
--- a/libnd4j/include/execution/ContextBuffers.h
+++ b/libnd4j/include/execution/ContextBuffers.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/Engine.h b/libnd4j/include/execution/Engine.h
index cd30867a9..836015970 100644
--- a/libnd4j/include/execution/Engine.h
+++ b/libnd4j/include/execution/Engine.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/ErrorReference.h b/libnd4j/include/execution/ErrorReference.h
index b71090248..3861f48c1 100644
--- a/libnd4j/include/execution/ErrorReference.h
+++ b/libnd4j/include/execution/ErrorReference.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/ExecutionMode.h b/libnd4j/include/execution/ExecutionMode.h
index ea97e3fc9..deebdde25 100644
--- a/libnd4j/include/execution/ExecutionMode.h
+++ b/libnd4j/include/execution/ExecutionMode.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -14,6 +16,7 @@
  * SPDX-License-Identifier: Apache-2.0
  ******************************************************************************/
 
+
 //
 // @author raver119@gmail.com
 //
diff --git a/libnd4j/include/execution/Executor.h b/libnd4j/include/execution/Executor.h
index a9eaa6ad3..01ac4df57 100644
--- a/libnd4j/include/execution/Executor.h
+++ b/libnd4j/include/execution/Executor.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/LaunchContext.h b/libnd4j/include/execution/LaunchContext.h
index 4eaf2ca0f..6b6f51fba 100644
--- a/libnd4j/include/execution/LaunchContext.h
+++ b/libnd4j/include/execution/LaunchContext.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/ThreadPool.h b/libnd4j/include/execution/ThreadPool.h
index ce44d5ae2..bb773c151 100644
--- a/libnd4j/include/execution/ThreadPool.h
+++ b/libnd4j/include/execution/ThreadPool.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/Threads.h b/libnd4j/include/execution/Threads.h
index bf35de089..be0ef8c2a 100644
--- a/libnd4j/include/execution/Threads.h
+++ b/libnd4j/include/execution/Threads.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/Ticket.h b/libnd4j/include/execution/Ticket.h
index 80bf54145..928307b80 100644
--- a/libnd4j/include/execution/Ticket.h
+++ b/libnd4j/include/execution/Ticket.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/cpu/AffinityManager.cpp b/libnd4j/include/execution/cpu/AffinityManager.cpp
index 32df63d0d..2feeaf02d 100644
--- a/libnd4j/include/execution/cpu/AffinityManager.cpp
+++ b/libnd4j/include/execution/cpu/AffinityManager.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/cpu/ContextBuffers.cpp b/libnd4j/include/execution/cpu/ContextBuffers.cpp
index 3b1c566a8..453178589 100644
--- a/libnd4j/include/execution/cpu/ContextBuffers.cpp
+++ b/libnd4j/include/execution/cpu/ContextBuffers.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/cpu/LaunchContext.cpp b/libnd4j/include/execution/cpu/LaunchContext.cpp
index 31cb6889d..40f2ecde7 100644
--- a/libnd4j/include/execution/cpu/LaunchContext.cpp
+++ b/libnd4j/include/execution/cpu/LaunchContext.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/cuda/AffinityManager.cu b/libnd4j/include/execution/cuda/AffinityManager.cu
index cdfe7c107..9bd026efd 100644
--- a/libnd4j/include/execution/cuda/AffinityManager.cu
+++ b/libnd4j/include/execution/cuda/AffinityManager.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/cuda/ContextBuffers.cu b/libnd4j/include/execution/cuda/ContextBuffers.cu
index 0c17ba614..0f1d4f601 100644
--- a/libnd4j/include/execution/cuda/ContextBuffers.cu
+++ b/libnd4j/include/execution/cuda/ContextBuffers.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/cuda/LaunchContext.cu b/libnd4j/include/execution/cuda/LaunchContext.cu
index bd51c3504..1588f903e 100644
--- a/libnd4j/include/execution/cuda/LaunchContext.cu
+++ b/libnd4j/include/execution/cuda/LaunchContext.cu
@@ -1,11 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/BlockingQueue.cpp b/libnd4j/include/execution/impl/BlockingQueue.cpp
index 21c3b4c6a..6e2d10d97 100644
--- a/libnd4j/include/execution/impl/BlockingQueue.cpp
+++ b/libnd4j/include/execution/impl/BlockingQueue.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/CallableInterface.cpp b/libnd4j/include/execution/impl/CallableInterface.cpp
index a719af848..560b2c48c 100644
--- a/libnd4j/include/execution/impl/CallableInterface.cpp
+++ b/libnd4j/include/execution/impl/CallableInterface.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/CallableWithArguments.cpp b/libnd4j/include/execution/impl/CallableWithArguments.cpp
index 8f17622b7..ded188c8a 100644
--- a/libnd4j/include/execution/impl/CallableWithArguments.cpp
+++ b/libnd4j/include/execution/impl/CallableWithArguments.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/ErrorReference.cpp b/libnd4j/include/execution/impl/ErrorReference.cpp
index 7b3409aa1..61f37a8af 100644
--- a/libnd4j/include/execution/impl/ErrorReference.cpp
+++ b/libnd4j/include/execution/impl/ErrorReference.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/ThreadPool.cpp b/libnd4j/include/execution/impl/ThreadPool.cpp
index f6c3fdaca..890fd0f08 100644
--- a/libnd4j/include/execution/impl/ThreadPool.cpp
+++ b/libnd4j/include/execution/impl/ThreadPool.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/Threads.cpp b/libnd4j/include/execution/impl/Threads.cpp
index 90dd519b1..9a2ac623f 100644
--- a/libnd4j/include/execution/impl/Threads.cpp
+++ b/libnd4j/include/execution/impl/Threads.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/execution/impl/Ticket.cpp b/libnd4j/include/execution/impl/Ticket.cpp
index b50b8f771..fdecdd137 100644
--- a/libnd4j/include/execution/impl/Ticket.cpp
+++ b/libnd4j/include/execution/impl/Ticket.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/ArgumentsList.h b/libnd4j/include/graph/ArgumentsList.h
index 75bdf857a..caab672a3 100644
--- a/libnd4j/include/graph/ArgumentsList.h
+++ b/libnd4j/include/graph/ArgumentsList.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Context.h b/libnd4j/include/graph/Context.h
index de6608b46..c4688046a 100644
--- a/libnd4j/include/graph/Context.h
+++ b/libnd4j/include/graph/Context.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/graph/ContextPrototype.h b/libnd4j/include/graph/ContextPrototype.h
index e61831fa7..38864668a 100644
--- a/libnd4j/include/graph/ContextPrototype.h
+++ b/libnd4j/include/graph/ContextPrototype.h
@@ -2,10 +2,15 @@
  * Copyright (c) 2015-2018 Skymind, Inc.
  * Copyright (c) 2019-2020 Konduit K.K.
  *
+/* ******************************************************************************
+ *
+ *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/ExecutionResult.h b/libnd4j/include/graph/ExecutionResult.h
index b1f16032c..4fc75972d 100644
--- a/libnd4j/include/graph/ExecutionResult.h
+++ b/libnd4j/include/graph/ExecutionResult.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/ExecutorConfiguration.h b/libnd4j/include/graph/ExecutorConfiguration.h
index 40f299f02..70ba7a6e5 100644
--- a/libnd4j/include/graph/ExecutorConfiguration.h
+++ b/libnd4j/include/graph/ExecutorConfiguration.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/FlatUtils.h b/libnd4j/include/graph/FlatUtils.h
index 1b2a02dca..04ba46691 100644
--- a/libnd4j/include/graph/FlatUtils.h
+++ b/libnd4j/include/graph/FlatUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/FlowPath.h b/libnd4j/include/graph/FlowPath.h
index 597520249..8d2007944 100644
--- a/libnd4j/include/graph/FlowPath.h
+++ b/libnd4j/include/graph/FlowPath.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/FrameState.h b/libnd4j/include/graph/FrameState.h
index 1c0edbc0b..eb5e60d83 100644
--- a/libnd4j/include/graph/FrameState.h
+++ b/libnd4j/include/graph/FrameState.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Graph.h b/libnd4j/include/graph/Graph.h
index a160872fd..775bb1269 100644
--- a/libnd4j/include/graph/Graph.h
+++ b/libnd4j/include/graph/Graph.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/GraphExecutioner.h b/libnd4j/include/graph/GraphExecutioner.h
index 148b27951..637b3a0a3 100644
--- a/libnd4j/include/graph/GraphExecutioner.h
+++ b/libnd4j/include/graph/GraphExecutioner.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/GraphHolder.h b/libnd4j/include/graph/GraphHolder.h
index 84aebd694..5034446dc 100644
--- a/libnd4j/include/graph/GraphHolder.h
+++ b/libnd4j/include/graph/GraphHolder.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/GraphState.h b/libnd4j/include/graph/GraphState.h
index 89343997f..4ceda390d 100644
--- a/libnd4j/include/graph/GraphState.h
+++ b/libnd4j/include/graph/GraphState.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/GraphUtils.h b/libnd4j/include/graph/GraphUtils.h
index 3aaf820ae..e8691f936 100644
--- a/libnd4j/include/graph/GraphUtils.h
+++ b/libnd4j/include/graph/GraphUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/InferenceRequest.h b/libnd4j/include/graph/InferenceRequest.h
index b445fa0e1..7ee68ec5a 100644
--- a/libnd4j/include/graph/InferenceRequest.h
+++ b/libnd4j/include/graph/InferenceRequest.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Intervals.h b/libnd4j/include/graph/Intervals.h
index 3a7964076..7036ecb9d 100644
--- a/libnd4j/include/graph/Intervals.h
+++ b/libnd4j/include/graph/Intervals.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Node.h b/libnd4j/include/graph/Node.h
index 5fde65f3c..1ce2b9778 100644
--- a/libnd4j/include/graph/Node.h
+++ b/libnd4j/include/graph/Node.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/NodeState.h b/libnd4j/include/graph/NodeState.h
index 5e0a7a6d2..7418dc828 100644
--- a/libnd4j/include/graph/NodeState.h
+++ b/libnd4j/include/graph/NodeState.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/RandomGenerator.h b/libnd4j/include/graph/RandomGenerator.h
index 407993a09..a5b6c0a8d 100644
--- a/libnd4j/include/graph/RandomGenerator.h
+++ b/libnd4j/include/graph/RandomGenerator.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/RandomGenerator.hpp b/libnd4j/include/graph/RandomGenerator.hpp
index fbbc8bad1..e38627c9d 100644
--- a/libnd4j/include/graph/RandomGenerator.hpp
+++ b/libnd4j/include/graph/RandomGenerator.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/ResultWrapper.h b/libnd4j/include/graph/ResultWrapper.h
index fe5193097..fc3f9a0c2 100644
--- a/libnd4j/include/graph/ResultWrapper.h
+++ b/libnd4j/include/graph/ResultWrapper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Scope.h b/libnd4j/include/graph/Scope.h
index 42b99c18e..a2dffcd72 100644
--- a/libnd4j/include/graph/Scope.h
+++ b/libnd4j/include/graph/Scope.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/SessionLocalStorage.h b/libnd4j/include/graph/SessionLocalStorage.h
index 3cb77ec3a..63b7bb1e5 100644
--- a/libnd4j/include/graph/SessionLocalStorage.h
+++ b/libnd4j/include/graph/SessionLocalStorage.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Stash.h b/libnd4j/include/graph/Stash.h
index ba431d057..74894f78c 100644
--- a/libnd4j/include/graph/Stash.h
+++ b/libnd4j/include/graph/Stash.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Status.h b/libnd4j/include/graph/Status.h
index 42794488d..0566c242f 100644
--- a/libnd4j/include/graph/Status.h
+++ b/libnd4j/include/graph/Status.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/TimeHolder.h b/libnd4j/include/graph/TimeHolder.h
index 191a75bac..f4774bcc2 100644
--- a/libnd4j/include/graph/TimeHolder.h
+++ b/libnd4j/include/graph/TimeHolder.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/Variable.h b/libnd4j/include/graph/Variable.h
index b3ac74533..b25f79f83 100644
--- a/libnd4j/include/graph/Variable.h
+++ b/libnd4j/include/graph/Variable.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/VariableProxy.h b/libnd4j/include/graph/VariableProxy.h
index 1569b477d..14045d9fd 100644
--- a/libnd4j/include/graph/VariableProxy.h
+++ b/libnd4j/include/graph/VariableProxy.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/VariableSpace.h b/libnd4j/include/graph/VariableSpace.h
index ea3c6370d..32ef4bad0 100644
--- a/libnd4j/include/graph/VariableSpace.h
+++ b/libnd4j/include/graph/VariableSpace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/VariableType.h b/libnd4j/include/graph/VariableType.h
index 28883f9b1..a2903f9ce 100644
--- a/libnd4j/include/graph/VariableType.h
+++ b/libnd4j/include/graph/VariableType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/VariablesSet.h b/libnd4j/include/graph/VariablesSet.h
index 682b7fce4..d7ea7a7ea 100644
--- a/libnd4j/include/graph/VariablesSet.h
+++ b/libnd4j/include/graph/VariablesSet.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/exceptions/impl/unresolved_input_exception.cpp b/libnd4j/include/graph/exceptions/impl/unresolved_input_exception.cpp
index fe6e45875..2b06cec26 100644
--- a/libnd4j/include/graph/exceptions/impl/unresolved_input_exception.cpp
+++ b/libnd4j/include/graph/exceptions/impl/unresolved_input_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/exceptions/impl/unresolved_output_exception.cpp b/libnd4j/include/graph/exceptions/impl/unresolved_output_exception.cpp
index df8b5eb00..670be8bca 100644
--- a/libnd4j/include/graph/exceptions/impl/unresolved_output_exception.cpp
+++ b/libnd4j/include/graph/exceptions/impl/unresolved_output_exception.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/exceptions/unresolved_input_exception.h b/libnd4j/include/graph/exceptions/unresolved_input_exception.h
index 5e38977a9..ac7bec720 100644
--- a/libnd4j/include/graph/exceptions/unresolved_input_exception.h
+++ b/libnd4j/include/graph/exceptions/unresolved_input_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/exceptions/unresolved_output_exception.h b/libnd4j/include/graph/exceptions/unresolved_output_exception.h
index 05d39c514..2ed70c084 100644
--- a/libnd4j/include/graph/exceptions/unresolved_output_exception.h
+++ b/libnd4j/include/graph/exceptions/unresolved_output_exception.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicConditional.h b/libnd4j/include/graph/execution/LogicConditional.h
index ffaf6f098..aaa427cd1 100644
--- a/libnd4j/include/graph/execution/LogicConditional.h
+++ b/libnd4j/include/graph/execution/LogicConditional.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicEnter.h b/libnd4j/include/graph/execution/LogicEnter.h
index d770ff10a..946c23444 100644
--- a/libnd4j/include/graph/execution/LogicEnter.h
+++ b/libnd4j/include/graph/execution/LogicEnter.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicExecutor.h b/libnd4j/include/graph/execution/LogicExecutor.h
index 541b3fc84..029441eec 100644
--- a/libnd4j/include/graph/execution/LogicExecutor.h
+++ b/libnd4j/include/graph/execution/LogicExecutor.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicExit.h b/libnd4j/include/graph/execution/LogicExit.h
index d182e26fb..088dee7c7 100644
--- a/libnd4j/include/graph/execution/LogicExit.h
+++ b/libnd4j/include/graph/execution/LogicExit.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicExpose.h b/libnd4j/include/graph/execution/LogicExpose.h
index 046f3e64e..b9567ab0e 100644
--- a/libnd4j/include/graph/execution/LogicExpose.h
+++ b/libnd4j/include/graph/execution/LogicExpose.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicLoopCond.h b/libnd4j/include/graph/execution/LogicLoopCond.h
index 36693232b..3d03762a7 100644
--- a/libnd4j/include/graph/execution/LogicLoopCond.h
+++ b/libnd4j/include/graph/execution/LogicLoopCond.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicMerge.h b/libnd4j/include/graph/execution/LogicMerge.h
index fe20c9d66..d2d57ccb6 100644
--- a/libnd4j/include/graph/execution/LogicMerge.h
+++ b/libnd4j/include/graph/execution/LogicMerge.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicNextIteration.h b/libnd4j/include/graph/execution/LogicNextIteration.h
index 5b9600909..f5984e5f2 100644
--- a/libnd4j/include/graph/execution/LogicNextIteration.h
+++ b/libnd4j/include/graph/execution/LogicNextIteration.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicReturn.h b/libnd4j/include/graph/execution/LogicReturn.h
index 2cc6107c5..69233d2a2 100644
--- a/libnd4j/include/graph/execution/LogicReturn.h
+++ b/libnd4j/include/graph/execution/LogicReturn.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicScope.h b/libnd4j/include/graph/execution/LogicScope.h
index a7a8d6b7a..a1e30e6d2 100644
--- a/libnd4j/include/graph/execution/LogicScope.h
+++ b/libnd4j/include/graph/execution/LogicScope.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicSwitch.h b/libnd4j/include/graph/execution/LogicSwitch.h
index d91959d91..6fb86a815 100644
--- a/libnd4j/include/graph/execution/LogicSwitch.h
+++ b/libnd4j/include/graph/execution/LogicSwitch.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/LogicWhile.h b/libnd4j/include/graph/execution/LogicWhile.h
index 6e4b2ea3a..be4edd85c 100644
--- a/libnd4j/include/graph/execution/LogicWhile.h
+++ b/libnd4j/include/graph/execution/LogicWhile.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicConditional.cpp b/libnd4j/include/graph/execution/impl/LogicConditional.cpp
index 25627df45..ed67af8ef 100644
--- a/libnd4j/include/graph/execution/impl/LogicConditional.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicConditional.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicEnter.cpp b/libnd4j/include/graph/execution/impl/LogicEnter.cpp
index f10ff792f..b8733938e 100644
--- a/libnd4j/include/graph/execution/impl/LogicEnter.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicEnter.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicExecutor.cpp b/libnd4j/include/graph/execution/impl/LogicExecutor.cpp
index fd7ce3e85..189fae717 100644
--- a/libnd4j/include/graph/execution/impl/LogicExecutor.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicExecutor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicExit.cpp b/libnd4j/include/graph/execution/impl/LogicExit.cpp
index 9a0e21793..ff31a0e03 100644
--- a/libnd4j/include/graph/execution/impl/LogicExit.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicExit.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicExpose.cpp b/libnd4j/include/graph/execution/impl/LogicExpose.cpp
index b19e1df55..3b6229d73 100644
--- a/libnd4j/include/graph/execution/impl/LogicExpose.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicExpose.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicLoopCond.cpp b/libnd4j/include/graph/execution/impl/LogicLoopCond.cpp
index 292452719..29b08ff46 100644
--- a/libnd4j/include/graph/execution/impl/LogicLoopCond.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicLoopCond.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicMerge.cpp b/libnd4j/include/graph/execution/impl/LogicMerge.cpp
index 9d032a93f..9cb84c5c0 100644
--- a/libnd4j/include/graph/execution/impl/LogicMerge.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicMerge.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicNextIteration.cpp b/libnd4j/include/graph/execution/impl/LogicNextIteration.cpp
index fb7eaa513..a0e03df21 100644
--- a/libnd4j/include/graph/execution/impl/LogicNextIteration.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicNextIteration.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicReturn.cpp b/libnd4j/include/graph/execution/impl/LogicReturn.cpp
index 0ee62e945..8bda825cb 100644
--- a/libnd4j/include/graph/execution/impl/LogicReturn.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicReturn.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicScope.cpp b/libnd4j/include/graph/execution/impl/LogicScope.cpp
index 1773aa6ea..8c70a678f 100644
--- a/libnd4j/include/graph/execution/impl/LogicScope.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicScope.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicSwitch.cpp b/libnd4j/include/graph/execution/impl/LogicSwitch.cpp
index 1089046a3..1eb16bcc9 100644
--- a/libnd4j/include/graph/execution/impl/LogicSwitch.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicSwitch.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/execution/impl/LogicWhile.cpp b/libnd4j/include/graph/execution/impl/LogicWhile.cpp
index fec9a0d30..d90b5014b 100644
--- a/libnd4j/include/graph/execution/impl/LogicWhile.cpp
+++ b/libnd4j/include/graph/execution/impl/LogicWhile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/generated/array_generated.js b/libnd4j/include/graph/generated/array_generated.js
index adf6ce13b..758b0c092 100644
--- a/libnd4j/include/graph/generated/array_generated.js
+++ b/libnd4j/include/graph/generated/array_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/config_generated.js b/libnd4j/include/graph/generated/config_generated.js
index 9ca0cccd1..093851187 100644
--- a/libnd4j/include/graph/generated/config_generated.js
+++ b/libnd4j/include/graph/generated/config_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/graph_generated.js b/libnd4j/include/graph/generated/graph_generated.js
index 2a46b81ce..24e5cea9d 100644
--- a/libnd4j/include/graph/generated/graph_generated.js
+++ b/libnd4j/include/graph/generated/graph_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/nd4j/__init__.py b/libnd4j/include/graph/generated/nd4j/__init__.py
index e69de29bb..ecf2a1c25 100644
--- a/libnd4j/include/graph/generated/nd4j/__init__.py
+++ b/libnd4j/include/graph/generated/nd4j/__init__.py
@@ -0,0 +1,18 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
diff --git a/libnd4j/include/graph/generated/nd4j/graph/ByteOrder.py b/libnd4j/include/graph/generated/nd4j/graph/ByteOrder.py
index e2491ab4e..8e3a0f0fb 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/ByteOrder.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/ByteOrder.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class ByteOrder(object):
     LE = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/DType.py b/libnd4j/include/graph/generated/nd4j/graph/DType.py
index 393ec7c4a..d15188647 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/DType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/DType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class DType(object):
     INHERIT = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/Direction.py b/libnd4j/include/graph/generated/nd4j/graph/Direction.py
index 7c5cc7f98..9c6771d99 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/Direction.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/Direction.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class Direction(object):
     FORWARD_ONLY = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/ExecutionMode.py b/libnd4j/include/graph/generated/nd4j/graph/ExecutionMode.py
index a4e1df3ce..ae66b0bf5 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/ExecutionMode.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/ExecutionMode.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class ExecutionMode(object):
     SEQUENTIAL = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatArray.py b/libnd4j/include/graph/generated/nd4j/graph/FlatArray.py
index 0514ea63a..c6ff07d5f 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatArray.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatArray.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatArrayList.py b/libnd4j/include/graph/generated/nd4j/graph/FlatArrayList.py
index 2d9d18c24..dc0465bc0 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatArrayList.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatArrayList.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatConfiguration.py b/libnd4j/include/graph/generated/nd4j/graph/FlatConfiguration.py
index 2dbf37c3d..dac07fdec 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatConfiguration.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatConfiguration.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatDropRequest.py b/libnd4j/include/graph/generated/nd4j/graph/FlatDropRequest.py
index a04413a53..25da10bc5 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatDropRequest.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatDropRequest.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatGraph.py b/libnd4j/include/graph/generated/nd4j/graph/FlatGraph.py
index df71069e3..1a89489ab 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatGraph.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatGraph.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatInferenceRequest.py b/libnd4j/include/graph/generated/nd4j/graph/FlatInferenceRequest.py
index 7825bd31b..7bd30dbb6 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatInferenceRequest.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatInferenceRequest.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatNode.py b/libnd4j/include/graph/generated/nd4j/graph/FlatNode.py
index d5104efb6..61b80e28e 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatNode.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatNode.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatProperties.py b/libnd4j/include/graph/generated/nd4j/graph/FlatProperties.py
index f9dc1637b..e5a5ad5bf 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatProperties.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatProperties.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatResponse.py b/libnd4j/include/graph/generated/nd4j/graph/FlatResponse.py
index d80b45bbd..a9df9b4ee 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatResponse.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatResponse.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatResult.py b/libnd4j/include/graph/generated/nd4j/graph/FlatResult.py
index 6e5835d48..48c43fe11 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatResult.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatResult.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatTiming.py b/libnd4j/include/graph/generated/nd4j/graph/FlatTiming.py
index 4fddf6077..3ecaa2380 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatTiming.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatTiming.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FlatVariable.py b/libnd4j/include/graph/generated/nd4j/graph/FlatVariable.py
index d0036c247..2c2a42374 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FlatVariable.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FlatVariable.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/FrameIteration.py b/libnd4j/include/graph/generated/nd4j/graph/FrameIteration.py
index d280907da..7c125181e 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/FrameIteration.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/FrameIteration.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/InputType.py b/libnd4j/include/graph/generated/nd4j/graph/InputType.py
index 08a3929e7..0be254efe 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/InputType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/InputType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class InputType(object):
     UNDEFINED = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/IntPair.py b/libnd4j/include/graph/generated/nd4j/graph/IntPair.py
index 8bbd29e4a..0e402cfe5 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/IntPair.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/IntPair.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/IntTriple.py b/libnd4j/include/graph/generated/nd4j/graph/IntTriple.py
index 91bbd84a5..387164f95 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/IntTriple.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/IntTriple.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/LongPair.py b/libnd4j/include/graph/generated/nd4j/graph/LongPair.py
index aa1695aac..8163865d5 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/LongPair.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/LongPair.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/LongTriple.py b/libnd4j/include/graph/generated/nd4j/graph/LongTriple.py
index 49b2a2a4e..18261a9cc 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/LongTriple.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/LongTriple.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/OpClass.py b/libnd4j/include/graph/generated/nd4j/graph/OpClass.py
index 426e444fa..7556a5209 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/OpClass.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/OpClass.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class OpClass(object):
     TRANSFORM = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/OpType.py b/libnd4j/include/graph/generated/nd4j/graph/OpType.py
index 2e56ad9f3..dba740a45 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/OpType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/OpType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class OpType(object):
     TRANSFORM_FLOAT = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/OutputMode.py b/libnd4j/include/graph/generated/nd4j/graph/OutputMode.py
index 42f83cc9c..9fc133956 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/OutputMode.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/OutputMode.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class OutputMode(object):
     IMPLICIT = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/ProfilingMode.py b/libnd4j/include/graph/generated/nd4j/graph/ProfilingMode.py
index 911a0d500..bfa3bcab0 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/ProfilingMode.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/ProfilingMode.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class ProfilingMode(object):
     NONE = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIAddName.py b/libnd4j/include/graph/generated/nd4j/graph/UIAddName.py
index 1e07c37b0..3b8be72d7 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIAddName.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIAddName.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIEvent.py b/libnd4j/include/graph/generated/nd4j/graph/UIEvent.py
index 1f7217447..f52bdf6cf 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIEvent.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIEvent.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIEventSubtype.py b/libnd4j/include/graph/generated/nd4j/graph/UIEventSubtype.py
index 6712b0c19..b1f6e9c79 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIEventSubtype.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIEventSubtype.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class UIEventSubtype(object):
     NONE = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIEventType.py b/libnd4j/include/graph/generated/nd4j/graph/UIEventType.py
index e32ed751a..63a665a09 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIEventType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIEventType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class UIEventType(object):
     ADD_NAME = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIGraphStructure.py b/libnd4j/include/graph/generated/nd4j/graph/UIGraphStructure.py
index 60da5b6fb..b7cf79edf 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIGraphStructure.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIGraphStructure.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIHardwareState.py b/libnd4j/include/graph/generated/nd4j/graph/UIHardwareState.py
index 760dd567d..82d20a520 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIHardwareState.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIHardwareState.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIHistogram.py b/libnd4j/include/graph/generated/nd4j/graph/UIHistogram.py
index 4ede141f0..12a626396 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIHistogram.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIHistogram.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIHistogramType.py b/libnd4j/include/graph/generated/nd4j/graph/UIHistogramType.py
index 7cbd19724..751e9aa21 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIHistogramType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIHistogramType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class UIHistogramType(object):
     DISCRETE = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIInfoType.py b/libnd4j/include/graph/generated/nd4j/graph/UIInfoType.py
index af7ac52c4..ce2541de7 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIInfoType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIInfoType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class UIInfoType(object):
     GRAPH_STRUCTURE = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIOp.py b/libnd4j/include/graph/generated/nd4j/graph/UIOp.py
index c6207f962..843441d2d 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIOp.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIOp.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIStaticInfoRecord.py b/libnd4j/include/graph/generated/nd4j/graph/UIStaticInfoRecord.py
index 7938d7915..4b0fceead 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIStaticInfoRecord.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIStaticInfoRecord.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UISummaryStatistics.py b/libnd4j/include/graph/generated/nd4j/graph/UISummaryStatistics.py
index 0c43fc3af..a4511829a 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UISummaryStatistics.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UISummaryStatistics.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UISystemInfo.py b/libnd4j/include/graph/generated/nd4j/graph/UISystemInfo.py
index 4b3308e56..dc920fc78 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UISystemInfo.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UISystemInfo.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UIVariable.py b/libnd4j/include/graph/generated/nd4j/graph/UIVariable.py
index 8e025b76b..44bafdaf0 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UIVariable.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UIVariable.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/UpdaterState.py b/libnd4j/include/graph/generated/nd4j/graph/UpdaterState.py
index e3907c9a2..3765d8f85 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/UpdaterState.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/UpdaterState.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import flatbuffers
 
diff --git a/libnd4j/include/graph/generated/nd4j/graph/VarType.py b/libnd4j/include/graph/generated/nd4j/graph/VarType.py
index 0fd0a6c81..84dc68522 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/VarType.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/VarType.py
@@ -1,6 +1,20 @@
-# automatically generated by the FlatBuffers compiler, do not modify
-
-# namespace: graph
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 class VarType(object):
     VARIABLE = 0
diff --git a/libnd4j/include/graph/generated/nd4j/graph/__init__.py b/libnd4j/include/graph/generated/nd4j/graph/__init__.py
index e69de29bb..ecf2a1c25 100644
--- a/libnd4j/include/graph/generated/nd4j/graph/__init__.py
+++ b/libnd4j/include/graph/generated/nd4j/graph/__init__.py
@@ -0,0 +1,18 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
diff --git a/libnd4j/include/graph/generated/node_generated.js b/libnd4j/include/graph/generated/node_generated.js
index 3f831a582..a750b3752 100644
--- a/libnd4j/include/graph/generated/node_generated.js
+++ b/libnd4j/include/graph/generated/node_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/properties_generated.js b/libnd4j/include/graph/generated/properties_generated.js
index 60ffe427d..e3e1426d4 100644
--- a/libnd4j/include/graph/generated/properties_generated.js
+++ b/libnd4j/include/graph/generated/properties_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/request_generated.js b/libnd4j/include/graph/generated/request_generated.js
index f2bddc61e..98930a58f 100644
--- a/libnd4j/include/graph/generated/request_generated.js
+++ b/libnd4j/include/graph/generated/request_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/result_generated.js b/libnd4j/include/graph/generated/result_generated.js
index 23995803a..4cf13ebd8 100644
--- a/libnd4j/include/graph/generated/result_generated.js
+++ b/libnd4j/include/graph/generated/result_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/uigraphevents_generated.js b/libnd4j/include/graph/generated/uigraphevents_generated.js
index 7d52224a8..f6a7f4117 100644
--- a/libnd4j/include/graph/generated/uigraphevents_generated.js
+++ b/libnd4j/include/graph/generated/uigraphevents_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/uigraphstatic_generated.js b/libnd4j/include/graph/generated/uigraphstatic_generated.js
index c6ec80aa3..bdfebac71 100644
--- a/libnd4j/include/graph/generated/uigraphstatic_generated.js
+++ b/libnd4j/include/graph/generated/uigraphstatic_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/utils_generated.js b/libnd4j/include/graph/generated/utils_generated.js
index 7a8dcd520..9c0a86628 100644
--- a/libnd4j/include/graph/generated/utils_generated.js
+++ b/libnd4j/include/graph/generated/utils_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/generated/variable_generated.js b/libnd4j/include/graph/generated/variable_generated.js
index 4bcdcd741..5b5ce1c10 100644
--- a/libnd4j/include/graph/generated/variable_generated.js
+++ b/libnd4j/include/graph/generated/variable_generated.js
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * @const
diff --git a/libnd4j/include/graph/impl/ArgumentsList.cpp b/libnd4j/include/graph/impl/ArgumentsList.cpp
index 71ba8c479..2eaf7e625 100644
--- a/libnd4j/include/graph/impl/ArgumentsList.cpp
+++ b/libnd4j/include/graph/impl/ArgumentsList.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Context.cpp b/libnd4j/include/graph/impl/Context.cpp
index f76f66bbe..589bcfae3 100644
--- a/libnd4j/include/graph/impl/Context.cpp
+++ b/libnd4j/include/graph/impl/Context.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/ContextPrototype.cpp b/libnd4j/include/graph/impl/ContextPrototype.cpp
index 417c46b3a..b5be85b9c 100644
--- a/libnd4j/include/graph/impl/ContextPrototype.cpp
+++ b/libnd4j/include/graph/impl/ContextPrototype.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/ExecutionResult.cpp b/libnd4j/include/graph/impl/ExecutionResult.cpp
index fd2bed054..800103488 100644
--- a/libnd4j/include/graph/impl/ExecutionResult.cpp
+++ b/libnd4j/include/graph/impl/ExecutionResult.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/ExecutorConfiguration.cpp b/libnd4j/include/graph/impl/ExecutorConfiguration.cpp
index f296ef3cd..aea38dc1b 100644
--- a/libnd4j/include/graph/impl/ExecutorConfiguration.cpp
+++ b/libnd4j/include/graph/impl/ExecutorConfiguration.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/FlatUtils.cpp b/libnd4j/include/graph/impl/FlatUtils.cpp
index e6984bb97..dda59e9ad 100644
--- a/libnd4j/include/graph/impl/FlatUtils.cpp
+++ b/libnd4j/include/graph/impl/FlatUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/FlowPath.cpp b/libnd4j/include/graph/impl/FlowPath.cpp
index 79fe67b30..2acd761be 100644
--- a/libnd4j/include/graph/impl/FlowPath.cpp
+++ b/libnd4j/include/graph/impl/FlowPath.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/FrameState.cpp b/libnd4j/include/graph/impl/FrameState.cpp
index d312a4f39..ffc9f7e9f 100644
--- a/libnd4j/include/graph/impl/FrameState.cpp
+++ b/libnd4j/include/graph/impl/FrameState.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Graph.cpp b/libnd4j/include/graph/impl/Graph.cpp
index a50d1f4b6..dcb04bb01 100644
--- a/libnd4j/include/graph/impl/Graph.cpp
+++ b/libnd4j/include/graph/impl/Graph.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/GraphExecutioner.cpp b/libnd4j/include/graph/impl/GraphExecutioner.cpp
index abc3b2e0c..d73bcd7e7 100644
--- a/libnd4j/include/graph/impl/GraphExecutioner.cpp
+++ b/libnd4j/include/graph/impl/GraphExecutioner.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/GraphHolder.cpp b/libnd4j/include/graph/impl/GraphHolder.cpp
index 13c4e3896..7fadbc4fe 100644
--- a/libnd4j/include/graph/impl/GraphHolder.cpp
+++ b/libnd4j/include/graph/impl/GraphHolder.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/GraphState.cpp b/libnd4j/include/graph/impl/GraphState.cpp
index a8b25603a..eb1e64193 100644
--- a/libnd4j/include/graph/impl/GraphState.cpp
+++ b/libnd4j/include/graph/impl/GraphState.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/GraphUtils.cpp b/libnd4j/include/graph/impl/GraphUtils.cpp
index 15f674ce1..ad8d280df 100644
--- a/libnd4j/include/graph/impl/GraphUtils.cpp
+++ b/libnd4j/include/graph/impl/GraphUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/InferenceRequest.cpp b/libnd4j/include/graph/impl/InferenceRequest.cpp
index 29fde1eb1..31fe1b620 100644
--- a/libnd4j/include/graph/impl/InferenceRequest.cpp
+++ b/libnd4j/include/graph/impl/InferenceRequest.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Intervals.cpp b/libnd4j/include/graph/impl/Intervals.cpp
index 1a89c797f..34839e4d9 100644
--- a/libnd4j/include/graph/impl/Intervals.cpp
+++ b/libnd4j/include/graph/impl/Intervals.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Node.cpp b/libnd4j/include/graph/impl/Node.cpp
index a3baf1a9b..081ae6da7 100644
--- a/libnd4j/include/graph/impl/Node.cpp
+++ b/libnd4j/include/graph/impl/Node.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/NodeState.cpp b/libnd4j/include/graph/impl/NodeState.cpp
index d09de9c57..3cfdae4ea 100644
--- a/libnd4j/include/graph/impl/NodeState.cpp
+++ b/libnd4j/include/graph/impl/NodeState.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/ResultWrapper.cpp b/libnd4j/include/graph/impl/ResultWrapper.cpp
index 277644acf..8353aaea5 100644
--- a/libnd4j/include/graph/impl/ResultWrapper.cpp
+++ b/libnd4j/include/graph/impl/ResultWrapper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Scope.cpp b/libnd4j/include/graph/impl/Scope.cpp
index 84a8f2f0d..24991179a 100644
--- a/libnd4j/include/graph/impl/Scope.cpp
+++ b/libnd4j/include/graph/impl/Scope.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/SessionLocalStorage.cpp b/libnd4j/include/graph/impl/SessionLocalStorage.cpp
index 9c512b0b6..ff44d0af8 100644
--- a/libnd4j/include/graph/impl/SessionLocalStorage.cpp
+++ b/libnd4j/include/graph/impl/SessionLocalStorage.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Stash.cpp b/libnd4j/include/graph/impl/Stash.cpp
index 618e01c87..1c94961a6 100644
--- a/libnd4j/include/graph/impl/Stash.cpp
+++ b/libnd4j/include/graph/impl/Stash.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/TimeHolder.cpp b/libnd4j/include/graph/impl/TimeHolder.cpp
index a292a8997..f66328333 100644
--- a/libnd4j/include/graph/impl/TimeHolder.cpp
+++ b/libnd4j/include/graph/impl/TimeHolder.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/Variable.cpp b/libnd4j/include/graph/impl/Variable.cpp
index e87c51897..b30657a62 100644
--- a/libnd4j/include/graph/impl/Variable.cpp
+++ b/libnd4j/include/graph/impl/Variable.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/VariableProxy.cpp b/libnd4j/include/graph/impl/VariableProxy.cpp
index 2736e2a9e..65a02aca6 100644
--- a/libnd4j/include/graph/impl/VariableProxy.cpp
+++ b/libnd4j/include/graph/impl/VariableProxy.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/VariableSpace.cpp b/libnd4j/include/graph/impl/VariableSpace.cpp
index 0e8634d07..5e9182979 100644
--- a/libnd4j/include/graph/impl/VariableSpace.cpp
+++ b/libnd4j/include/graph/impl/VariableSpace.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/impl/VariablesSet.cpp b/libnd4j/include/graph/impl/VariablesSet.cpp
index 80f8e3728..98b608e1d 100644
--- a/libnd4j/include/graph/impl/VariablesSet.cpp
+++ b/libnd4j/include/graph/impl/VariablesSet.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/profiling/GraphProfile.h b/libnd4j/include/graph/profiling/GraphProfile.h
index f0ada4f90..7870cf141 100644
--- a/libnd4j/include/graph/profiling/GraphProfile.h
+++ b/libnd4j/include/graph/profiling/GraphProfile.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/profiling/GraphProfilingHelper.h b/libnd4j/include/graph/profiling/GraphProfilingHelper.h
index d32d99374..475b88641 100644
--- a/libnd4j/include/graph/profiling/GraphProfilingHelper.h
+++ b/libnd4j/include/graph/profiling/GraphProfilingHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/profiling/NodeProfile.h b/libnd4j/include/graph/profiling/NodeProfile.h
index 83f0b88fc..303dac529 100644
--- a/libnd4j/include/graph/profiling/NodeProfile.h
+++ b/libnd4j/include/graph/profiling/NodeProfile.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/profiling/impl/GraphProfile.cpp b/libnd4j/include/graph/profiling/impl/GraphProfile.cpp
index 14ce54a0f..ec1b32f67 100644
--- a/libnd4j/include/graph/profiling/impl/GraphProfile.cpp
+++ b/libnd4j/include/graph/profiling/impl/GraphProfile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/profiling/impl/GraphProfilingHelper.cpp b/libnd4j/include/graph/profiling/impl/GraphProfilingHelper.cpp
index 03c2411e2..e851e38a2 100644
--- a/libnd4j/include/graph/profiling/impl/GraphProfilingHelper.cpp
+++ b/libnd4j/include/graph/profiling/impl/GraphProfilingHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/profiling/impl/NodeProfile.cpp b/libnd4j/include/graph/profiling/impl/NodeProfile.cpp
index 8db4472e6..c84598a6f 100644
--- a/libnd4j/include/graph/profiling/impl/NodeProfile.cpp
+++ b/libnd4j/include/graph/profiling/impl/NodeProfile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/array.fbs b/libnd4j/include/graph/scheme/array.fbs
index bb8118aad..02bcbf62f 100644
--- a/libnd4j/include/graph/scheme/array.fbs
+++ b/libnd4j/include/graph/scheme/array.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/config.fbs b/libnd4j/include/graph/scheme/config.fbs
index 0aac9c05d..ff85b8864 100644
--- a/libnd4j/include/graph/scheme/config.fbs
+++ b/libnd4j/include/graph/scheme/config.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/graph.fbs b/libnd4j/include/graph/scheme/graph.fbs
index 040af1642..d8b5279f9 100644
--- a/libnd4j/include/graph/scheme/graph.fbs
+++ b/libnd4j/include/graph/scheme/graph.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/node.fbs b/libnd4j/include/graph/scheme/node.fbs
index e3ad32b76..e5bf9023d 100644
--- a/libnd4j/include/graph/scheme/node.fbs
+++ b/libnd4j/include/graph/scheme/node.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/properties.fbs b/libnd4j/include/graph/scheme/properties.fbs
index 57ce5f7f3..425eded14 100644
--- a/libnd4j/include/graph/scheme/properties.fbs
+++ b/libnd4j/include/graph/scheme/properties.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/request.fbs b/libnd4j/include/graph/scheme/request.fbs
index a55b5ce82..337f85674 100644
--- a/libnd4j/include/graph/scheme/request.fbs
+++ b/libnd4j/include/graph/scheme/request.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/result.fbs b/libnd4j/include/graph/scheme/result.fbs
index f479a209a..66ad97257 100644
--- a/libnd4j/include/graph/scheme/result.fbs
+++ b/libnd4j/include/graph/scheme/result.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/uigraphevents.fbs b/libnd4j/include/graph/scheme/uigraphevents.fbs
index eb9fa13d6..6881dc7e7 100644
--- a/libnd4j/include/graph/scheme/uigraphevents.fbs
+++ b/libnd4j/include/graph/scheme/uigraphevents.fbs
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 include "array.fbs";	//For FlatArray
 
diff --git a/libnd4j/include/graph/scheme/uigraphstatic.fbs b/libnd4j/include/graph/scheme/uigraphstatic.fbs
index b0b19ce17..7fce7b3e1 100644
--- a/libnd4j/include/graph/scheme/uigraphstatic.fbs
+++ b/libnd4j/include/graph/scheme/uigraphstatic.fbs
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 include "utils.fbs";		//For: IntPair
 include "variable.fbs";		//For: VarType
diff --git a/libnd4j/include/graph/scheme/utils.fbs b/libnd4j/include/graph/scheme/utils.fbs
index f2186869b..1f712198d 100644
--- a/libnd4j/include/graph/scheme/utils.fbs
+++ b/libnd4j/include/graph/scheme/utils.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/graph/scheme/variable.fbs b/libnd4j/include/graph/scheme/variable.fbs
index da5c3fb11..1db1694f4 100644
--- a/libnd4j/include/graph/scheme/variable.fbs
+++ b/libnd4j/include/graph/scheme/variable.fbs
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/ArrayUtils.h b/libnd4j/include/helpers/ArrayUtils.h
index 2ecebeb4a..0306328b2 100644
--- a/libnd4j/include/helpers/ArrayUtils.h
+++ b/libnd4j/include/helpers/ArrayUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/AttentionHelper.h b/libnd4j/include/helpers/AttentionHelper.h
index 02d9da995..5d7474664 100644
--- a/libnd4j/include/helpers/AttentionHelper.h
+++ b/libnd4j/include/helpers/AttentionHelper.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Paul Dubs
diff --git a/libnd4j/include/helpers/BenchmarkHelper.h b/libnd4j/include/helpers/BenchmarkHelper.h
index f76f787d8..ce7667966 100644
--- a/libnd4j/include/helpers/BenchmarkHelper.h
+++ b/libnd4j/include/helpers/BenchmarkHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/BitwiseUtils.h b/libnd4j/include/helpers/BitwiseUtils.h
index 6b7e5c231..b357ffa2f 100644
--- a/libnd4j/include/helpers/BitwiseUtils.h
+++ b/libnd4j/include/helpers/BitwiseUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/BlasHelper.h b/libnd4j/include/helpers/BlasHelper.h
index 038df67b5..45271e296 100644
--- a/libnd4j/include/helpers/BlasHelper.h
+++ b/libnd4j/include/helpers/BlasHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/ConstantHelper.h b/libnd4j/include/helpers/ConstantHelper.h
index 7d4446d34..4e0da2bc1 100644
--- a/libnd4j/include/helpers/ConstantHelper.h
+++ b/libnd4j/include/helpers/ConstantHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/ConstantShapeHelper.h b/libnd4j/include/helpers/ConstantShapeHelper.h
index 65c3bcb99..8fd78baa1 100644
--- a/libnd4j/include/helpers/ConstantShapeHelper.h
+++ b/libnd4j/include/helpers/ConstantShapeHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/ConstantTadHelper.h b/libnd4j/include/helpers/ConstantTadHelper.h
index 10bdd108d..8d60bc3cb 100644
--- a/libnd4j/include/helpers/ConstantTadHelper.h
+++ b/libnd4j/include/helpers/ConstantTadHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/CudaLaunchHelper.h b/libnd4j/include/helpers/CudaLaunchHelper.h
index 6bf44317f..5f7e6cbdf 100644
--- a/libnd4j/include/helpers/CudaLaunchHelper.h
+++ b/libnd4j/include/helpers/CudaLaunchHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/DebugHelper.h b/libnd4j/include/helpers/DebugHelper.h
index 10bb1dc90..0fd1a6b63 100644
--- a/libnd4j/include/helpers/DebugHelper.h
+++ b/libnd4j/include/helpers/DebugHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/DebugInfo.h b/libnd4j/include/helpers/DebugInfo.h
index c2efb00fe..97c74e2e5 100644
--- a/libnd4j/include/helpers/DebugInfo.h
+++ b/libnd4j/include/helpers/DebugInfo.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/EigenValsAndVecs.h b/libnd4j/include/helpers/EigenValsAndVecs.h
index 222b9c36e..a8b5b65bb 100644
--- a/libnd4j/include/helpers/EigenValsAndVecs.h
+++ b/libnd4j/include/helpers/EigenValsAndVecs.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/EnumUtils.h b/libnd4j/include/helpers/EnumUtils.h
index 6138117c7..c7a6adeee 100644
--- a/libnd4j/include/helpers/EnumUtils.h
+++ b/libnd4j/include/helpers/EnumUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/FullPivLU.h b/libnd4j/include/helpers/FullPivLU.h
index 3e285b597..f0a07c73a 100644
--- a/libnd4j/include/helpers/FullPivLU.h
+++ b/libnd4j/include/helpers/FullPivLU.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/GradCheck.h b/libnd4j/include/helpers/GradCheck.h
index 9ca18a82b..584f6e6a1 100644
--- a/libnd4j/include/helpers/GradCheck.h
+++ b/libnd4j/include/helpers/GradCheck.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/HessenbergAndSchur.h b/libnd4j/include/helpers/HessenbergAndSchur.h
index 9c209ea56..a7b671b5a 100644
--- a/libnd4j/include/helpers/HessenbergAndSchur.h
+++ b/libnd4j/include/helpers/HessenbergAndSchur.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/LoopKind.h b/libnd4j/include/helpers/LoopKind.h
index 4efbea43a..2f794a15c 100644
--- a/libnd4j/include/helpers/LoopKind.h
+++ b/libnd4j/include/helpers/LoopKind.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/Loops.h b/libnd4j/include/helpers/Loops.h
index 325fa3505..6be7db77f 100644
--- a/libnd4j/include/helpers/Loops.h
+++ b/libnd4j/include/helpers/Loops.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/Loops.hpp b/libnd4j/include/helpers/Loops.hpp
index 852ef4808..8bf49401d 100644
--- a/libnd4j/include/helpers/Loops.hpp
+++ b/libnd4j/include/helpers/Loops.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/LoopsCoordsHelper.h b/libnd4j/include/helpers/LoopsCoordsHelper.h
index 8a1160aea..3a9951ba0 100644
--- a/libnd4j/include/helpers/LoopsCoordsHelper.h
+++ b/libnd4j/include/helpers/LoopsCoordsHelper.h
@@ -2,10 +2,15 @@
  *
  * Copyright (c) 2019 Konduit K.K.
  *
+/* ******************************************************************************
+ *
+ *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/MKLDNNStream.h b/libnd4j/include/helpers/MKLDNNStream.h
index f575c48d9..cddb149d8 100644
--- a/libnd4j/include/helpers/MKLDNNStream.h
+++ b/libnd4j/include/helpers/MKLDNNStream.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by saudet on 8/30/2018.
diff --git a/libnd4j/include/helpers/MmulHelper.h b/libnd4j/include/helpers/MmulHelper.h
index 517ca9888..3ed872e7b 100644
--- a/libnd4j/include/helpers/MmulHelper.h
+++ b/libnd4j/include/helpers/MmulHelper.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com), created on 05.06.2018
diff --git a/libnd4j/include/helpers/OmpLaunchHelper.h b/libnd4j/include/helpers/OmpLaunchHelper.h
index 3e0e50391..a2f4cb861 100644
--- a/libnd4j/include/helpers/OmpLaunchHelper.h
+++ b/libnd4j/include/helpers/OmpLaunchHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/OpArgsHolder.h b/libnd4j/include/helpers/OpArgsHolder.h
index a9432f134..4accb1607 100644
--- a/libnd4j/include/helpers/OpArgsHolder.h
+++ b/libnd4j/include/helpers/OpArgsHolder.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/OpBenchmark.h b/libnd4j/include/helpers/OpBenchmark.h
index 328b20dce..d8fa2111d 100644
--- a/libnd4j/include/helpers/OpBenchmark.h
+++ b/libnd4j/include/helpers/OpBenchmark.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver on 2/28/2019.
diff --git a/libnd4j/include/helpers/OpTracker.h b/libnd4j/include/helpers/OpTracker.h
index dfccf5e5d..018d530ec 100644
--- a/libnd4j/include/helpers/OpTracker.h
+++ b/libnd4j/include/helpers/OpTracker.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/PointersManager.h b/libnd4j/include/helpers/PointersManager.h
index 4f7af9409..8f0fb2855 100644
--- a/libnd4j/include/helpers/PointersManager.h
+++ b/libnd4j/include/helpers/PointersManager.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/RandomLauncher.h b/libnd4j/include/helpers/RandomLauncher.h
index 49e961062..c97d5cbb0 100644
--- a/libnd4j/include/helpers/RandomLauncher.h
+++ b/libnd4j/include/helpers/RandomLauncher.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/ShapeBuilders.h b/libnd4j/include/helpers/ShapeBuilders.h
index 14726d5e6..f80112bc4 100644
--- a/libnd4j/include/helpers/ShapeBuilders.h
+++ b/libnd4j/include/helpers/ShapeBuilders.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/ShapeUtils.h b/libnd4j/include/helpers/ShapeUtils.h
index bd30d9225..7cf0e1ed4 100644
--- a/libnd4j/include/helpers/ShapeUtils.h
+++ b/libnd4j/include/helpers/ShapeUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/SimpleReadWriteLock.h b/libnd4j/include/helpers/SimpleReadWriteLock.h
index 5d1fce711..6b1a54a75 100644
--- a/libnd4j/include/helpers/SimpleReadWriteLock.h
+++ b/libnd4j/include/helpers/SimpleReadWriteLock.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/Sqrtm.h b/libnd4j/include/helpers/Sqrtm.h
index 1968bc7a5..8e5e97b02 100644
--- a/libnd4j/include/helpers/Sqrtm.h
+++ b/libnd4j/include/helpers/Sqrtm.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/StringUtils.h b/libnd4j/include/helpers/StringUtils.h
index e5f9f2990..722c68176 100644
--- a/libnd4j/include/helpers/StringUtils.h
+++ b/libnd4j/include/helpers/StringUtils.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver119 on 20/04/18.
diff --git a/libnd4j/include/helpers/TAD.h b/libnd4j/include/helpers/TAD.h
index cd58e421e..a2b7cfa77 100644
--- a/libnd4j/include/helpers/TAD.h
+++ b/libnd4j/include/helpers/TAD.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/BasicSuit.h b/libnd4j/include/helpers/benchmark/BasicSuit.h
index 1e4c156fb..8e9852d6b 100644
--- a/libnd4j/include/helpers/benchmark/BasicSuit.h
+++ b/libnd4j/include/helpers/benchmark/BasicSuit.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/BoolParameters.h b/libnd4j/include/helpers/benchmark/BoolParameters.h
index bac8a0c5c..5b0375d77 100644
--- a/libnd4j/include/helpers/benchmark/BoolParameters.h
+++ b/libnd4j/include/helpers/benchmark/BoolParameters.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/BroadcastBenchmark.h b/libnd4j/include/helpers/benchmark/BroadcastBenchmark.h
index 8c61bda23..c4810da6b 100644
--- a/libnd4j/include/helpers/benchmark/BroadcastBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/BroadcastBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/DeclarableBenchmark.h b/libnd4j/include/helpers/benchmark/DeclarableBenchmark.h
index 58c018a5b..8f648a2dc 100644
--- a/libnd4j/include/helpers/benchmark/DeclarableBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/DeclarableBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/IntParameters.h b/libnd4j/include/helpers/benchmark/IntParameters.h
index 10a1763e4..6c5b9df0d 100644
--- a/libnd4j/include/helpers/benchmark/IntParameters.h
+++ b/libnd4j/include/helpers/benchmark/IntParameters.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/IntPowerParameters.h b/libnd4j/include/helpers/benchmark/IntPowerParameters.h
index 82c58bb23..0a6205945 100644
--- a/libnd4j/include/helpers/benchmark/IntPowerParameters.h
+++ b/libnd4j/include/helpers/benchmark/IntPowerParameters.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/MatrixBenchmark.h b/libnd4j/include/helpers/benchmark/MatrixBenchmark.h
index eb8fd2619..980e04e14 100644
--- a/libnd4j/include/helpers/benchmark/MatrixBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/MatrixBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/PairwiseBenchmark.h b/libnd4j/include/helpers/benchmark/PairwiseBenchmark.h
index ca92e96b3..ee7a6663f 100644
--- a/libnd4j/include/helpers/benchmark/PairwiseBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/PairwiseBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/Parameters.h b/libnd4j/include/helpers/benchmark/Parameters.h
index eee443574..39a8911a3 100644
--- a/libnd4j/include/helpers/benchmark/Parameters.h
+++ b/libnd4j/include/helpers/benchmark/Parameters.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/ParametersBatch.h b/libnd4j/include/helpers/benchmark/ParametersBatch.h
index 68c4dfb9f..2df4aa3ad 100644
--- a/libnd4j/include/helpers/benchmark/ParametersBatch.h
+++ b/libnd4j/include/helpers/benchmark/ParametersBatch.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/ParametersSpace.h b/libnd4j/include/helpers/benchmark/ParametersSpace.h
index a7c59f9a6..0040fdcfa 100644
--- a/libnd4j/include/helpers/benchmark/ParametersSpace.h
+++ b/libnd4j/include/helpers/benchmark/ParametersSpace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/PredefinedParameters.h b/libnd4j/include/helpers/benchmark/PredefinedParameters.h
index f2a7fc347..7c7b4ffb9 100644
--- a/libnd4j/include/helpers/benchmark/PredefinedParameters.h
+++ b/libnd4j/include/helpers/benchmark/PredefinedParameters.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/ReductionBenchmark.h b/libnd4j/include/helpers/benchmark/ReductionBenchmark.h
index c48030542..ac8127adb 100644
--- a/libnd4j/include/helpers/benchmark/ReductionBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/ReductionBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/ScalarBenchmark.h b/libnd4j/include/helpers/benchmark/ScalarBenchmark.h
index 3b0cdecf5..ee2362c8c 100644
--- a/libnd4j/include/helpers/benchmark/ScalarBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/ScalarBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/benchmark/TransformBenchmark.h b/libnd4j/include/helpers/benchmark/TransformBenchmark.h
index 024857633..eac898d78 100644
--- a/libnd4j/include/helpers/benchmark/TransformBenchmark.h
+++ b/libnd4j/include/helpers/benchmark/TransformBenchmark.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/biDiagonalUp.h b/libnd4j/include/helpers/biDiagonalUp.h
index dc44057a9..713a722d9 100644
--- a/libnd4j/include/helpers/biDiagonalUp.h
+++ b/libnd4j/include/helpers/biDiagonalUp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/ConstantHelper.cpp b/libnd4j/include/helpers/cpu/ConstantHelper.cpp
index be6eff65c..8b6937b18 100644
--- a/libnd4j/include/helpers/cpu/ConstantHelper.cpp
+++ b/libnd4j/include/helpers/cpu/ConstantHelper.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/helpers/cpu/ConstantShapeHelper.cpp b/libnd4j/include/helpers/cpu/ConstantShapeHelper.cpp
index f12616688..0e6a2afef 100644
--- a/libnd4j/include/helpers/cpu/ConstantShapeHelper.cpp
+++ b/libnd4j/include/helpers/cpu/ConstantShapeHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -140,7 +142,7 @@ ConstantShapeBuffer& ConstantShapeHelper::createShapeInfoWithUnitiesForBroadcast
     ALLOCATE(newShapeInfo, workspace, shape::shapeInfoLength(shape::rank(maxShapeInfo)), Nd4jLong);
 
     newShapeInfo[0] = shape::rank(maxShapeInfo);
-
+    newShapeInfo[2*shape::rank(maxShapeInfo)+1] = 0;
     sd::ArrayOptions::copyDataType(newShapeInfo, minShapeInfo);                     // type
     newShapeInfo[2 * newShapeInfo[0] + 2] = shape::elementWiseStride(minShapeInfo); // ews
     newShapeInfo[2 * newShapeInfo[0] + 3] = shape::order(minShapeInfo);             // order
diff --git a/libnd4j/include/helpers/cpu/ConstantTadHelper.cpp b/libnd4j/include/helpers/cpu/ConstantTadHelper.cpp
index 9f859ee3e..df5aa2e02 100644
--- a/libnd4j/include/helpers/cpu/ConstantTadHelper.cpp
+++ b/libnd4j/include/helpers/cpu/ConstantTadHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/MmulHelper.cpp b/libnd4j/include/helpers/cpu/MmulHelper.cpp
index 91467758b..42739e319 100644
--- a/libnd4j/include/helpers/cpu/MmulHelper.cpp
+++ b/libnd4j/include/helpers/cpu/MmulHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/PointersManager.cpp b/libnd4j/include/helpers/cpu/PointersManager.cpp
index 61eb7b2ec..d227236a3 100644
--- a/libnd4j/include/helpers/cpu/PointersManager.cpp
+++ b/libnd4j/include/helpers/cpu/PointersManager.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/cublasHelper.cpp b/libnd4j/include/helpers/cpu/cublasHelper.cpp
index 4b17e601d..297ec64ab 100644
--- a/libnd4j/include/helpers/cpu/cublasHelper.cpp
+++ b/libnd4j/include/helpers/cpu/cublasHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/IndexReductionLoops.hpp b/libnd4j/include/helpers/cpu/loops/IndexReductionLoops.hpp
index a64f0fc91..d2fc4e716 100644
--- a/libnd4j/include/helpers/cpu/loops/IndexReductionLoops.hpp
+++ b/libnd4j/include/helpers/cpu/loops/IndexReductionLoops.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32.cpp.in b/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32.cpp.in
index 2030c8017..2516adf91 100644
--- a/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32.cpp.in
+++ b/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64.cpp.in b/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64.cpp.in
index 0647ce17d..82c4714e3 100644
--- a/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64.cpp.in
+++ b/libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/helpers/cpu/loops/Reduction3Loops.cpp.in b/libnd4j/include/helpers/cpu/loops/Reduction3Loops.cpp.in
index 4f38b4d8f..54f4302fa 100644
--- a/libnd4j/include/helpers/cpu/loops/Reduction3Loops.cpp.in
+++ b/libnd4j/include/helpers/cpu/loops/Reduction3Loops.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/Reduction3Loops.hpp b/libnd4j/include/helpers/cpu/loops/Reduction3Loops.hpp
index 241dc7e8c..978ef4430 100644
--- a/libnd4j/include/helpers/cpu/loops/Reduction3Loops.hpp
+++ b/libnd4j/include/helpers/cpu/loops/Reduction3Loops.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/ReductionLoops.hpp b/libnd4j/include/helpers/cpu/loops/ReductionLoops.hpp
index 943da43ab..92bf6579a 100644
--- a/libnd4j/include/helpers/cpu/loops/ReductionLoops.hpp
+++ b/libnd4j/include/helpers/cpu/loops/ReductionLoops.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/ReductionLoops_bool.cpp b/libnd4j/include/helpers/cpu/loops/ReductionLoops_bool.cpp
index 04e6e4eb5..995dd7e33 100644
--- a/libnd4j/include/helpers/cpu/loops/ReductionLoops_bool.cpp
+++ b/libnd4j/include/helpers/cpu/loops/ReductionLoops_bool.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.cpp.in b/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.cpp.in
index 5c1bb227d..958c4e52c 100644
--- a/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.cpp.in
+++ b/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.hpp b/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.hpp
index 2ab71b34a..64f292578 100644
--- a/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.hpp
+++ b/libnd4j/include/helpers/cpu/loops/ReductionLoops_float.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/ReductionLoops_long.cpp b/libnd4j/include/helpers/cpu/loops/ReductionLoops_long.cpp
index 820091f09..2944899c5 100644
--- a/libnd4j/include/helpers/cpu/loops/ReductionLoops_long.cpp
+++ b/libnd4j/include/helpers/cpu/loops/ReductionLoops_long.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/loops/ReductionLoops_same.cpp b/libnd4j/include/helpers/cpu/loops/ReductionLoops_same.cpp
index 2544a3c03..581ae7294 100644
--- a/libnd4j/include/helpers/cpu/loops/ReductionLoops_same.cpp
+++ b/libnd4j/include/helpers/cpu/loops/ReductionLoops_same.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cpu/svd.cpp b/libnd4j/include/helpers/cpu/svd.cpp
index 8a320f6de..efc89c98e 100644
--- a/libnd4j/include/helpers/cpu/svd.cpp
+++ b/libnd4j/include/helpers/cpu/svd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cublasHelper.h b/libnd4j/include/helpers/cublasHelper.h
index 8ebdc66a7..f0775dc12 100644
--- a/libnd4j/include/helpers/cublasHelper.h
+++ b/libnd4j/include/helpers/cublasHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cuda/ConstantHelper.cu b/libnd4j/include/helpers/cuda/ConstantHelper.cu
index 7eb9273e5..31f483044 100644
--- a/libnd4j/include/helpers/cuda/ConstantHelper.cu
+++ b/libnd4j/include/helpers/cuda/ConstantHelper.cu
@@ -1,11 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K. 
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cuda/ConstantShapeHelper.cu b/libnd4j/include/helpers/cuda/ConstantShapeHelper.cu
index fb093e7b7..26e70e931 100644
--- a/libnd4j/include/helpers/cuda/ConstantShapeHelper.cu
+++ b/libnd4j/include/helpers/cuda/ConstantShapeHelper.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -143,7 +145,7 @@ ConstantShapeBuffer&  ConstantShapeHelper::createShapeInfoWithUnitiesForBroadcas
     ALLOCATE(newShapeInfo, workspace, shape::shapeInfoLength(shape::rank(maxShapeInfo)), Nd4jLong);
 
     newShapeInfo[0] = shape::rank(maxShapeInfo);
-
+    newShapeInfo[2*shape::rank(maxShapeInfo)+1] = 0;
     sd::ArrayOptions::copyDataType(newShapeInfo, minShapeInfo);                     // type
     newShapeInfo[2 * newShapeInfo[0] + 2] = shape::elementWiseStride(minShapeInfo); // ews
     newShapeInfo[2 * newShapeInfo[0] + 3] = shape::order(minShapeInfo);             // order
diff --git a/libnd4j/include/helpers/cuda/ConstantTadHelper.cu b/libnd4j/include/helpers/cuda/ConstantTadHelper.cu
index 662c99e7c..9758c706a 100644
--- a/libnd4j/include/helpers/cuda/ConstantTadHelper.cu
+++ b/libnd4j/include/helpers/cuda/ConstantTadHelper.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cuda/PointersManager.cu b/libnd4j/include/helpers/cuda/PointersManager.cu
index dc5fe15f5..e4f9070ca 100644
--- a/libnd4j/include/helpers/cuda/PointersManager.cu
+++ b/libnd4j/include/helpers/cuda/PointersManager.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/cuda_off/MmulHelper.cu b/libnd4j/include/helpers/cuda_off/MmulHelper.cu
index 36f48184a..7e9a336ef 100644
--- a/libnd4j/include/helpers/cuda_off/MmulHelper.cu
+++ b/libnd4j/include/helpers/cuda_off/MmulHelper.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/helpers/cuda_off/cublasHelper.cu b/libnd4j/include/helpers/cuda_off/cublasHelper.cu
index b179b0930..35a176262 100644
--- a/libnd4j/include/helpers/cuda_off/cublasHelper.cu
+++ b/libnd4j/include/helpers/cuda_off/cublasHelper.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/data_gen.h b/libnd4j/include/helpers/data_gen.h
index 164039617..c1e4f22b6 100644
--- a/libnd4j/include/helpers/data_gen.h
+++ b/libnd4j/include/helpers/data_gen.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/files.h b/libnd4j/include/helpers/files.h
index c49cedbb7..69c936a7f 100644
--- a/libnd4j/include/helpers/files.h
+++ b/libnd4j/include/helpers/files.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/helper_generator.h b/libnd4j/include/helpers/helper_generator.h
index ecf87ae81..6fd265f11 100644
--- a/libnd4j/include/helpers/helper_generator.h
+++ b/libnd4j/include/helpers/helper_generator.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/helper_hash.h b/libnd4j/include/helpers/helper_hash.h
index fa44b04b7..2a2a06ddb 100644
--- a/libnd4j/include/helpers/helper_hash.h
+++ b/libnd4j/include/helpers/helper_hash.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/helper_ptrmap.h b/libnd4j/include/helpers/helper_ptrmap.h
index 4f2ec128c..63c3ee0ac 100644
--- a/libnd4j/include/helpers/helper_ptrmap.h
+++ b/libnd4j/include/helpers/helper_ptrmap.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/helper_random.h b/libnd4j/include/helpers/helper_random.h
index 6f2523e05..412f8fa8e 100644
--- a/libnd4j/include/helpers/helper_random.h
+++ b/libnd4j/include/helpers/helper_random.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/hhColPivQR.h b/libnd4j/include/helpers/hhColPivQR.h
index 28dd42f64..2525783ff 100644
--- a/libnd4j/include/helpers/hhColPivQR.h
+++ b/libnd4j/include/helpers/hhColPivQR.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/hhSequence.h b/libnd4j/include/helpers/hhSequence.h
index 1e1f8ecad..dee9c28dc 100644
--- a/libnd4j/include/helpers/hhSequence.h
+++ b/libnd4j/include/helpers/hhSequence.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/householder.h b/libnd4j/include/helpers/householder.h
index 7811fafa0..0a7b7e5d9 100644
--- a/libnd4j/include/helpers/householder.h
+++ b/libnd4j/include/helpers/householder.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/ArrayUtils.cpp b/libnd4j/include/helpers/impl/ArrayUtils.cpp
index 004cb1546..54e3f4dc8 100644
--- a/libnd4j/include/helpers/impl/ArrayUtils.cpp
+++ b/libnd4j/include/helpers/impl/ArrayUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/AttentionHelper.cpp b/libnd4j/include/helpers/impl/AttentionHelper.cpp
index bd5d006f2..d32cd65ee 100644
--- a/libnd4j/include/helpers/impl/AttentionHelper.cpp
+++ b/libnd4j/include/helpers/impl/AttentionHelper.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Paul Dubs
diff --git a/libnd4j/include/helpers/impl/BenchmarkHelper.cpp b/libnd4j/include/helpers/impl/BenchmarkHelper.cpp
index 9e85cc5b7..d25893e78 100644
--- a/libnd4j/include/helpers/impl/BenchmarkHelper.cpp
+++ b/libnd4j/include/helpers/impl/BenchmarkHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/BitwiseUtils.cpp b/libnd4j/include/helpers/impl/BitwiseUtils.cpp
index 9bd3fa8cf..5c93a76c7 100644
--- a/libnd4j/include/helpers/impl/BitwiseUtils.cpp
+++ b/libnd4j/include/helpers/impl/BitwiseUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/BlasHelper.cpp b/libnd4j/include/helpers/impl/BlasHelper.cpp
index 70839fe2d..a294907a7 100644
--- a/libnd4j/include/helpers/impl/BlasHelper.cpp
+++ b/libnd4j/include/helpers/impl/BlasHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/CudaLaunchHelper.cpp b/libnd4j/include/helpers/impl/CudaLaunchHelper.cpp
index d0bcce11e..7a08669e6 100644
--- a/libnd4j/include/helpers/impl/CudaLaunchHelper.cpp
+++ b/libnd4j/include/helpers/impl/CudaLaunchHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/DebugHelper.cpp b/libnd4j/include/helpers/impl/DebugHelper.cpp
index d24068a65..9a4e45108 100644
--- a/libnd4j/include/helpers/impl/DebugHelper.cpp
+++ b/libnd4j/include/helpers/impl/DebugHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/EigenValsAndVecs.cpp b/libnd4j/include/helpers/impl/EigenValsAndVecs.cpp
index 6eeb0c28b..b9302e876 100644
--- a/libnd4j/include/helpers/impl/EigenValsAndVecs.cpp
+++ b/libnd4j/include/helpers/impl/EigenValsAndVecs.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/EnumUtils.cpp b/libnd4j/include/helpers/impl/EnumUtils.cpp
index a18592d0b..c624b63ea 100644
--- a/libnd4j/include/helpers/impl/EnumUtils.cpp
+++ b/libnd4j/include/helpers/impl/EnumUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/FullPivLU.cpp b/libnd4j/include/helpers/impl/FullPivLU.cpp
index efb7571ed..1d43db861 100644
--- a/libnd4j/include/helpers/impl/FullPivLU.cpp
+++ b/libnd4j/include/helpers/impl/FullPivLU.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/GradCheck.cpp b/libnd4j/include/helpers/impl/GradCheck.cpp
index 12ecab75f..4d8befccb 100644
--- a/libnd4j/include/helpers/impl/GradCheck.cpp
+++ b/libnd4j/include/helpers/impl/GradCheck.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/HessenbergAndSchur.cpp b/libnd4j/include/helpers/impl/HessenbergAndSchur.cpp
index 31495cab9..f895e2b70 100644
--- a/libnd4j/include/helpers/impl/HessenbergAndSchur.cpp
+++ b/libnd4j/include/helpers/impl/HessenbergAndSchur.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/MmulHelper.cpp b/libnd4j/include/helpers/impl/MmulHelper.cpp
index ba86bb1b5..441a75fb4 100644
--- a/libnd4j/include/helpers/impl/MmulHelper.cpp
+++ b/libnd4j/include/helpers/impl/MmulHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/OmpLaunchHelper.cpp b/libnd4j/include/helpers/impl/OmpLaunchHelper.cpp
index b0ef97457..85718ba8a 100644
--- a/libnd4j/include/helpers/impl/OmpLaunchHelper.cpp
+++ b/libnd4j/include/helpers/impl/OmpLaunchHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/OpArgsHolder.cpp b/libnd4j/include/helpers/impl/OpArgsHolder.cpp
index 7b82a85d9..245de8b01 100644
--- a/libnd4j/include/helpers/impl/OpArgsHolder.cpp
+++ b/libnd4j/include/helpers/impl/OpArgsHolder.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/OpBenchmark.cpp b/libnd4j/include/helpers/impl/OpBenchmark.cpp
index 6cb0dc08a..be594cbe4 100644
--- a/libnd4j/include/helpers/impl/OpBenchmark.cpp
+++ b/libnd4j/include/helpers/impl/OpBenchmark.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver on 2/28/2019.
diff --git a/libnd4j/include/helpers/impl/OpTracker.cpp b/libnd4j/include/helpers/impl/OpTracker.cpp
index e36d4ab5a..94033c6dd 100644
--- a/libnd4j/include/helpers/impl/OpTracker.cpp
+++ b/libnd4j/include/helpers/impl/OpTracker.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/Parameters.cpp b/libnd4j/include/helpers/impl/Parameters.cpp
index 356ad5a5a..0a7d7b332 100644
--- a/libnd4j/include/helpers/impl/Parameters.cpp
+++ b/libnd4j/include/helpers/impl/Parameters.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver on 2/28/2019.
diff --git a/libnd4j/include/helpers/impl/RandomLauncher.cpp b/libnd4j/include/helpers/impl/RandomLauncher.cpp
index f7cdd0f3a..75dff75ef 100644
--- a/libnd4j/include/helpers/impl/RandomLauncher.cpp
+++ b/libnd4j/include/helpers/impl/RandomLauncher.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/ShapeBuilders.cpp b/libnd4j/include/helpers/impl/ShapeBuilders.cpp
index dbcf6dac0..8e64d7310 100644
--- a/libnd4j/include/helpers/impl/ShapeBuilders.cpp
+++ b/libnd4j/include/helpers/impl/ShapeBuilders.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -146,6 +148,7 @@ Nd4jLong* ShapeBuilders::createSubArrShapeInfo(const Nd4jLong* inShapeInfo, cons
     ALLOCATE(subArrShapeInfo, workspace, shape::shapeInfoLength(dimsSize), Nd4jLong);
 
     subArrShapeInfo[0] = dimsSize;                                 // rank
+    subArrShapeInfo[2*dimsSize+1] = 0;
     sd::ArrayOptions::copyDataType(subArrShapeInfo, inShapeInfo);  // type
     subArrShapeInfo[2*dimsSize + 3] = shape::order(inShapeInfo);   // order
 
diff --git a/libnd4j/include/helpers/impl/ShapeUtils.cpp b/libnd4j/include/helpers/impl/ShapeUtils.cpp
index 998df7728..46cad5ba0 100644
--- a/libnd4j/include/helpers/impl/ShapeUtils.cpp
+++ b/libnd4j/include/helpers/impl/ShapeUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -987,6 +989,7 @@ std::vector ShapeUtils::evalDimsWithoutUnities(const Nd4jLong* shapeIn
 void ShapeUtils::updateStridesAndType(Nd4jLong* dest, const Nd4jLong* source, const char order) {
 
     shape::updateStrides(dest, order);
+    dest[2 * dest[0] +1] = 0; //zero extra
     ArrayOptions::copyDataType(dest, source);
 }
 
diff --git a/libnd4j/include/helpers/impl/SimpleReadWriteLock.cpp b/libnd4j/include/helpers/impl/SimpleReadWriteLock.cpp
index 52682b925..d430ba8b4 100644
--- a/libnd4j/include/helpers/impl/SimpleReadWriteLock.cpp
+++ b/libnd4j/include/helpers/impl/SimpleReadWriteLock.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/Sqrtm.cpp b/libnd4j/include/helpers/impl/Sqrtm.cpp
index 5fe45656f..bf401a8e0 100644
--- a/libnd4j/include/helpers/impl/Sqrtm.cpp
+++ b/libnd4j/include/helpers/impl/Sqrtm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/StringUtils.cpp b/libnd4j/include/helpers/impl/StringUtils.cpp
index 757def763..6a22be847 100644
--- a/libnd4j/include/helpers/impl/StringUtils.cpp
+++ b/libnd4j/include/helpers/impl/StringUtils.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver119 on 20/04/18.
diff --git a/libnd4j/include/helpers/impl/TAD.cpp b/libnd4j/include/helpers/impl/TAD.cpp
index 5d31827da..f1b5743f5 100644
--- a/libnd4j/include/helpers/impl/TAD.cpp
+++ b/libnd4j/include/helpers/impl/TAD.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/biDiagonalUp.cpp b/libnd4j/include/helpers/impl/biDiagonalUp.cpp
index d5326c21a..cce65bced 100644
--- a/libnd4j/include/helpers/impl/biDiagonalUp.cpp
+++ b/libnd4j/include/helpers/impl/biDiagonalUp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/helper_hash.cpp b/libnd4j/include/helpers/impl/helper_hash.cpp
index 4fde919cd..4d71e90a9 100644
--- a/libnd4j/include/helpers/impl/helper_hash.cpp
+++ b/libnd4j/include/helpers/impl/helper_hash.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/hhColPivQR.cpp b/libnd4j/include/helpers/impl/hhColPivQR.cpp
index 6f4bbebc9..c796ce753 100644
--- a/libnd4j/include/helpers/impl/hhColPivQR.cpp
+++ b/libnd4j/include/helpers/impl/hhColPivQR.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/hhSequence.cpp b/libnd4j/include/helpers/impl/hhSequence.cpp
index dc038dfc8..1a3fc4249 100644
--- a/libnd4j/include/helpers/impl/hhSequence.cpp
+++ b/libnd4j/include/helpers/impl/hhSequence.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/householder.cpp b/libnd4j/include/helpers/impl/householder.cpp
index e9572f9f6..c0d424647 100644
--- a/libnd4j/include/helpers/impl/householder.cpp
+++ b/libnd4j/include/helpers/impl/householder.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/jacobiSVD.cpp b/libnd4j/include/helpers/impl/jacobiSVD.cpp
index 7fbf183b2..97f41b0ab 100644
--- a/libnd4j/include/helpers/impl/jacobiSVD.cpp
+++ b/libnd4j/include/helpers/impl/jacobiSVD.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/logger.cpp b/libnd4j/include/helpers/impl/logger.cpp
index 59d8f98bc..ec690cd62 100644
--- a/libnd4j/include/helpers/impl/logger.cpp
+++ b/libnd4j/include/helpers/impl/logger.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/shape.cpp b/libnd4j/include/helpers/impl/shape.cpp
index 33042e0b7..29376cca8 100644
--- a/libnd4j/include/helpers/impl/shape.cpp
+++ b/libnd4j/include/helpers/impl/shape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/impl/unicode.cpp b/libnd4j/include/helpers/impl/unicode.cpp
index 6ebbe7c1b..1757e6e20 100644
--- a/libnd4j/include/helpers/impl/unicode.cpp
+++ b/libnd4j/include/helpers/impl/unicode.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2020 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/jacobiSVD.h b/libnd4j/include/helpers/jacobiSVD.h
index 615811e9a..af579389d 100644
--- a/libnd4j/include/helpers/jacobiSVD.h
+++ b/libnd4j/include/helpers/jacobiSVD.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/logger.h b/libnd4j/include/helpers/logger.h
index b7ed88c1d..71cac9d1f 100644
--- a/libnd4j/include/helpers/logger.h
+++ b/libnd4j/include/helpers/logger.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/mman.h b/libnd4j/include/helpers/mman.h
index 618ee23c3..d833400cc 100644
--- a/libnd4j/include/helpers/mman.h
+++ b/libnd4j/include/helpers/mman.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/shape.h b/libnd4j/include/helpers/shape.h
index ca6054482..63e532f32 100644
--- a/libnd4j/include/helpers/shape.h
+++ b/libnd4j/include/helpers/shape.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -1342,20 +1344,20 @@ __device__ INLINEDEF Nd4jLong *cuMalloc(Nd4jLong *buffer, long size) {
  * @return the strides for a matrix of n dimensions
  */
     INLINEDEF _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong const* shape, int rank, int startNum) {
-        if (isVector(shape, rank)) {
+        // if (isVector(shape, rank)) {
 
-            traceNew(5);
+        //     traceNew(5);
 
-            Nd4jLong *ret = new Nd4jLong[2];
-            for (int i = 0; i < 2; i++)
-                ret[i] = 1;
-            return ret;
+        //     Nd4jLong *ret = new Nd4jLong[2];
+        //     for (int i = 0; i < 2; i++)
+        //         ret[i] = 1;
+        //     return ret;
 
-        }
+        // }
 
         int dimensions = rank;
 
-        traceNew(6);
+        traceNew(5);
 
         Nd4jLong *stride = new Nd4jLong[dimensions];
         Nd4jLong st = startNum;
@@ -1368,12 +1370,12 @@ __device__ INLINEDEF Nd4jLong *cuMalloc(Nd4jLong *buffer, long size) {
     }
 
     INLINEDEF _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong const* shape, int rank, int startNum, Nd4jLong *ret) {
-        if (isVector(shape, rank)) {
-            for (int i = 0; i < rank; i++)
-                ret[i] = 1;
-            return ret;
+        // if (isVector(shape, rank)) {
+        //     for (int i = 0; i < rank; i++)
+        //         ret[i] = 1;
+        //     return ret;
 
-        }
+        // }
 
         //int dimensions = rank;
 
@@ -2617,7 +2619,7 @@ INLINEDEF _CUDA_HD int numOfNonUnitDims(const int rank, const Nd4jLong* inShape)
     }
 
     INLINEDEF _CUDA_HD bool isEmpty(const Nd4jLong *shapeInfo) {
-        return ((shape::extra(const_cast(shapeInfo)) & ARRAY_EMPTY) == ARRAY_EMPTY);
+        return ((shape::extra(const_cast(shapeInfo)) & ARRAY_EMPTY) == ARRAY_EMPTY) ;
     }
 
 
@@ -2996,9 +2998,9 @@ INLINEDEF _CUDA_HD bool haveSameShapeAndStrides(const Nd4jLong *shapeInfo1, cons
         if (0 == rank(shapeInfo))
             return 1;
         if (dim >= 0)
-            return shapeInfo[1+dim];
+            return shapeInfo[1 + dim];
         else
-            return shapeInfo[1+(rank(shapeInfo) + dim)];
+            return shapeInfo[1 + (rank(shapeInfo) + dim)];
     }
 
     INLINEDEF _CUDA_HD Nd4jLong strideAt(const Nd4jLong *shapeInfo, const int dim) {
@@ -3020,6 +3022,9 @@ INLINEDEF _CUDA_HD bool haveSameShapeAndStrides(const Nd4jLong *shapeInfo1, cons
         if (shapeA[0] != shapeB[0])
             return false;
 
+        if(shape::isEmpty(shapeA) && shape::isEmpty(shapeB))
+            return true;
+
         if (shapeA[0] == 0)
             return true;
 
@@ -4210,7 +4215,7 @@ INLINEDEF _CUDA_HD bool reshapeC(const Nd4jLong* oldShapeInfo, Nd4jLong* newShap
         newShapeInfo[2 * newRank + 3] = oldOrder;                   // order
         *shape::ews(newShapeInfo) = oldEws;                         // ews
     }
-
+    newShapeInfo[2*newShapeInfo[0]+1] = 0;
     sd::ArrayOptions::copyDataType(newShapeInfo, oldShapeInfo); // type
 
     return true;
@@ -4837,6 +4842,7 @@ INLINEDEF _CUDA_HD void calcSubArrsShapeInfoAndOffsets(const Nd4jLong* wholeShap
     const int subArrRank = keepUnitiesInShape ? rank : rank - dimsSize;
 
     subArrShapeInfo[0] = subArrRank;                                    // rank
+    subArrShapeInfo[2 * subArrRank + 1] = 0;                            // clear (to avoid uninitialized)
     sd::ArrayOptions::copyDataType(subArrShapeInfo, wholeShapeInfo);    // type
     subArrShapeInfo[2 * subArrRank + 3] = shape::order(wholeShapeInfo); // order
 
@@ -4914,6 +4920,7 @@ INLINEDEF void calcSubArrShapeInfoAndOffset(const Nd4jLong* idx, const Nd4jLong*
         }
     }
 
+    minShapeInfo[2 * shape::rank(minShapeInfo) + 1] = 0;   // zero
     minShapeInfo[2 * shape::rank(minShapeInfo) + 3] = shape::order(maxShapeInfo);   // order
     sd::ArrayOptions::copyDataType(minShapeInfo, maxShapeInfo);                     // type
 
@@ -5047,7 +5054,7 @@ INLINEDEF _CUDA_HD void excludeUnitiesFromShapeInfo(const Nd4jLong* inShapeInfo,
         shape::shapeOf(outShapeInfo)[k]  = shape::shapeOf(inShapeInfo)[i];
         shape::stride(outShapeInfo)[k++] = shape::stride(inShapeInfo)[i];
     }
-
+    outShapeInfo[2 * outShapeInfo[0] + 1] = 0;
     sd::ArrayOptions::copyDataType(outShapeInfo, inShapeInfo);                      // type
     *shape::ews(outShapeInfo)             = shape::elementWiseStride(inShapeInfo);  // ews
     outShapeInfo[2 * outShapeInfo[0] + 3] = shape::order(inShapeInfo);              // order
diff --git a/libnd4j/include/helpers/svd.h b/libnd4j/include/helpers/svd.h
index 58007bf37..accb4d354 100644
--- a/libnd4j/include/helpers/svd.h
+++ b/libnd4j/include/helpers/svd.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/threshold.h b/libnd4j/include/helpers/threshold.h
index ba5304e55..c7413c73c 100644
--- a/libnd4j/include/helpers/threshold.h
+++ b/libnd4j/include/helpers/threshold.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/helpers/unicode.h b/libnd4j/include/helpers/unicode.h
index 6db4841db..06112a25a 100644
--- a/libnd4j/include/helpers/unicode.h
+++ b/libnd4j/include/helpers/unicode.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleg Semeniv 
diff --git a/libnd4j/include/indexing/IndicesList.h b/libnd4j/include/indexing/IndicesList.h
index a652615d5..d06cd8144 100644
--- a/libnd4j/include/indexing/IndicesList.h
+++ b/libnd4j/include/indexing/IndicesList.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/indexing/NDIndex.h b/libnd4j/include/indexing/NDIndex.h
index 799da4e6c..aef2a4d85 100644
--- a/libnd4j/include/indexing/NDIndex.h
+++ b/libnd4j/include/indexing/NDIndex.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/indexing/impl/IndicesList.cpp b/libnd4j/include/indexing/impl/IndicesList.cpp
index 5acbf57d5..0a6c48f7c 100644
--- a/libnd4j/include/indexing/impl/IndicesList.cpp
+++ b/libnd4j/include/indexing/impl/IndicesList.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/indexing/impl/NDIndex.cpp b/libnd4j/include/indexing/impl/NDIndex.cpp
index 43aaf0914..c78b8dbc0 100644
--- a/libnd4j/include/indexing/impl/NDIndex.cpp
+++ b/libnd4j/include/indexing/impl/NDIndex.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/legacy/NativeOpExecutioner.h b/libnd4j/include/legacy/NativeOpExecutioner.h
index 886f5fa03..c2427dfa1 100644
--- a/libnd4j/include/legacy/NativeOpExecutioner.h
+++ b/libnd4j/include/legacy/NativeOpExecutioner.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/legacy/NativeOps.h b/libnd4j/include/legacy/NativeOps.h
index a55846d87..74e371a15 100755
--- a/libnd4j/include/legacy/NativeOps.h
+++ b/libnd4j/include/legacy/NativeOps.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -1594,6 +1596,7 @@ typedef sd::ConstantDataBuffer OpaqueConstantDataBuffer;
 typedef sd::ConstantShapeBuffer OpaqueConstantShapeBuffer;
 
 ND4J_EXPORT OpaqueConstantShapeBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, bool empty);
+ND4J_EXPORT OpaqueConstantShapeBuffer* shapeBufferEx(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, Nd4jLong extras);
 
 ND4J_EXPORT OpaqueConstantDataBuffer* constantBufferLong(sd::DataType dtype, Nd4jLong const* data, int length);
 ND4J_EXPORT OpaqueConstantDataBuffer* constantBufferDouble(sd::DataType dtype, double *data, int length);
diff --git a/libnd4j/include/legacy/cpu/NativeOpExecutioner.cpp b/libnd4j/include/legacy/cpu/NativeOpExecutioner.cpp
index be8a0fbb3..868edc4b0 100644
--- a/libnd4j/include/legacy/cpu/NativeOpExecutioner.cpp
+++ b/libnd4j/include/legacy/cpu/NativeOpExecutioner.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/legacy/cpu/NativeOps.cpp b/libnd4j/include/legacy/cpu/NativeOps.cpp
index b483ef91a..12cdddb5c 100644
--- a/libnd4j/include/legacy/cpu/NativeOps.cpp
+++ b/libnd4j/include/legacy/cpu/NativeOps.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -2690,11 +2692,15 @@ void tryPointer(Nd4jPointer extra, Nd4jPointer p, int len) {
     }
 }
 
-sd::ConstantShapeBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, bool empty) {
+OpaqueConstantShapeBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, bool empty) {
+    return shapeBufferEx(rank, shape, strides, dtype, order, ews, empty ? ARRAY_EMPTY : 0);
+}
+
+OpaqueConstantShapeBuffer* shapeBufferEx(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, Nd4jLong extras) {
     try {
         auto buffer = new ConstantShapeBuffer();
         *buffer = sd::ConstantShapeHelper::getInstance().bufferForShapeInfo(
-                ShapeDescriptor(dtype, order, shape, strides, rank, ews, empty));
+                ShapeDescriptor(dtype, order, shape, strides, rank, ews, extras));
         return buffer;
     } catch (std::exception &e) {
         sd::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
@@ -2703,7 +2709,7 @@ sd::ConstantShapeBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *stride
     }
 }
 
-void deleteConstantShapeBuffer(sd::ConstantShapeBuffer* ptr) {
+void deleteConstantShapeBuffer(OpaqueConstantShapeBuffer* ptr) {
     delete ptr;
 }
 
@@ -2733,11 +2739,11 @@ sd::ConstantDataBuffer* constantBuffer(sd::DataType dtype, sd::ConstantDescripto
     }
 }
 
-Nd4jPointer getConstantShapeBufferPrimary(sd::ConstantShapeBuffer* dbf) {
+Nd4jPointer getConstantShapeBufferPrimary(OpaqueConstantShapeBuffer* dbf) {
   return const_cast(dbf->primary());
 }
 
-Nd4jPointer getConstantShapeBufferSpecial(sd::ConstantShapeBuffer* dbf) {
+Nd4jPointer getConstantShapeBufferSpecial(OpaqueConstantShapeBuffer* dbf) {
   return const_cast(dbf->special());
 }
 
diff --git a/libnd4j/include/legacy/cuda/BlasVersionHelper.cu b/libnd4j/include/legacy/cuda/BlasVersionHelper.cu
index 04b0e78f1..90c968d3e 100644
--- a/libnd4j/include/legacy/cuda/BlasVersionHelper.cu
+++ b/libnd4j/include/legacy/cuda/BlasVersionHelper.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/legacy/cuda/NativeOpExecutioner.cu b/libnd4j/include/legacy/cuda/NativeOpExecutioner.cu
index cb3c78238..28aa811cd 100644
--- a/libnd4j/include/legacy/cuda/NativeOpExecutioner.cu
+++ b/libnd4j/include/legacy/cuda/NativeOpExecutioner.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/legacy/cuda/NativeOps.cu b/libnd4j/include/legacy/cuda/NativeOps.cu
index aa6c139d2..6abc259b7 100755
--- a/libnd4j/include/legacy/cuda/NativeOps.cu
+++ b/libnd4j/include/legacy/cuda/NativeOps.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -3418,10 +3420,14 @@ int dataTypeFromNpyHeader(void *header) {
 }
 
 OpaqueConstantShapeBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, bool empty) {
+    return shapeBufferEx(rank, shape, strides, dtype, order, ews, empty ? ARRAY_EMPTY : 0);
+}
+
+OpaqueConstantShapeBuffer* shapeBufferEx(int rank, Nd4jLong *shape, Nd4jLong *strides, sd::DataType dtype, char order, Nd4jLong ews, Nd4jLong extras) {
     try {
         auto buffer = new ConstantShapeBuffer();
         *buffer = sd::ConstantShapeHelper::getInstance().bufferForShapeInfo(
-                ShapeDescriptor(dtype, order, shape, strides, rank, ews, empty));
+                ShapeDescriptor(dtype, order, shape, strides, rank, ews, extras));
         return buffer;
     } catch (std::exception &e) {
         sd::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
@@ -3480,11 +3486,11 @@ Nd4jLong getConstantDataBufferSizeOf(sd::ConstantDataBuffer* dbf) {
     return dbf->sizeOf();
 }
 
-Nd4jPointer getConstantShapeBufferPrimary(sd::ConstantShapeBuffer* dbf) {
+Nd4jPointer getConstantShapeBufferPrimary(OpaqueConstantShapeBuffer* dbf) {
   return const_cast(dbf->primary());
 }
 
-Nd4jPointer getConstantShapeBufferSpecial(sd::ConstantShapeBuffer* dbf) {
+Nd4jPointer getConstantShapeBufferSpecial(OpaqueConstantShapeBuffer* dbf) {
   return const_cast(dbf->special());
 }
 
diff --git a/libnd4j/include/legacy/impl/Environment.cpp b/libnd4j/include/legacy/impl/Environment.cpp
index 0d5f913b7..4727dbaea 100644
--- a/libnd4j/include/legacy/impl/Environment.cpp
+++ b/libnd4j/include/legacy/impl/Environment.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/BroadcastPairwiseConverter.h b/libnd4j/include/loops/BroadcastPairwiseConverter.h
index acb7e8d64..378c62e9c 100644
--- a/libnd4j/include/loops/BroadcastPairwiseConverter.h
+++ b/libnd4j/include/loops/BroadcastPairwiseConverter.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/BroadcastScalarConverter.h b/libnd4j/include/loops/BroadcastScalarConverter.h
index f4d536f33..09666f993 100644
--- a/libnd4j/include/loops/BroadcastScalarConverter.h
+++ b/libnd4j/include/loops/BroadcastScalarConverter.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/ReduceType.h b/libnd4j/include/loops/ReduceType.h
index 501b7229e..14d441dca 100644
--- a/libnd4j/include/loops/ReduceType.h
+++ b/libnd4j/include/loops/ReduceType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/broadcasting.h b/libnd4j/include/loops/broadcasting.h
index 4f05f0c6e..1a49713a7 100755
--- a/libnd4j/include/loops/broadcasting.h
+++ b/libnd4j/include/loops/broadcasting.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/broadcasting_bool.h b/libnd4j/include/loops/broadcasting_bool.h
index 400269c02..16c4bbb0b 100644
--- a/libnd4j/include/loops/broadcasting_bool.h
+++ b/libnd4j/include/loops/broadcasting_bool.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/broadcasting_int.h b/libnd4j/include/loops/broadcasting_int.h
index 386fbd3f7..002dd195a 100644
--- a/libnd4j/include/loops/broadcasting_int.h
+++ b/libnd4j/include/loops/broadcasting_int.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/broadcasting.hpp b/libnd4j/include/loops/cpu/broadcasting.hpp
index 51b76df73..8c0e080d2 100644
--- a/libnd4j/include/loops/cpu/broadcasting.hpp
+++ b/libnd4j/include/loops/cpu/broadcasting.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/broadcasting_bool.hpp b/libnd4j/include/loops/cpu/broadcasting_bool.hpp
index 22f30e40a..7d79766e7 100644
--- a/libnd4j/include/loops/cpu/broadcasting_bool.hpp
+++ b/libnd4j/include/loops/cpu/broadcasting_bool.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/broadcasting_int.hpp b/libnd4j/include/loops/cpu/broadcasting_int.hpp
index 5b95d963f..2ce5d68e6 100644
--- a/libnd4j/include/loops/cpu/broadcasting_int.hpp
+++ b/libnd4j/include/loops/cpu/broadcasting_int.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/compilation_units/broadcast_bool_p.cpp.in b/libnd4j/include/loops/cpu/compilation_units/broadcast_bool_p.cpp.in
index b3c60462b..65e2c56bd 100644
--- a/libnd4j/include/loops/cpu/compilation_units/broadcast_bool_p.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/broadcast_bool_p.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/compilation_units/broadcast_int_p.cpp.in b/libnd4j/include/loops/cpu/compilation_units/broadcast_int_p.cpp.in
index a36c1a0b2..a49782327 100644
--- a/libnd4j/include/loops/cpu/compilation_units/broadcast_int_p.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/broadcast_int_p.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/compilation_units/broadcast_p.cpp.in b/libnd4j/include/loops/cpu/compilation_units/broadcast_p.cpp.in
index 1dbb4aac4..ebfdb699e 100644
--- a/libnd4j/include/loops/cpu/compilation_units/broadcast_p.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/broadcast_p.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/compilation_units/indexreduce_int32.cpp.in b/libnd4j/include/loops/cpu/compilation_units/indexreduce_int32.cpp.in
index 97402d38e..269587776 100644
--- a/libnd4j/include/loops/cpu/compilation_units/indexreduce_int32.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/indexreduce_int32.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/indexreduce_int64.cpp.in b/libnd4j/include/loops/cpu/compilation_units/indexreduce_int64.cpp.in
index 30fa30749..333bd0c12 100644
--- a/libnd4j/include/loops/cpu/compilation_units/indexreduce_int64.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/indexreduce_int64.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/pairwise_p.cpp.in b/libnd4j/include/loops/cpu/compilation_units/pairwise_p.cpp.in
index bbf809de8..bfb8187c7 100644
--- a/libnd4j/include/loops/cpu/compilation_units/pairwise_p.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/pairwise_p.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/compilation_units/random.cpp.in b/libnd4j/include/loops/cpu/compilation_units/random.cpp.in
index 921532ac8..a6a75cb2c 100644
--- a/libnd4j/include/loops/cpu/compilation_units/random.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/random.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16.cpp.in b/libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16.cpp.in
index 68616c3f9..e2836a717 100644
--- a/libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/reduce3_double.cpp.in b/libnd4j/include/loops/cpu/compilation_units/reduce3_double.cpp.in
index 5c722838d..c4ee56d77 100644
--- a/libnd4j/include/loops/cpu/compilation_units/reduce3_double.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/reduce3_double.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/reduce3_float.cpp.in b/libnd4j/include/loops/cpu/compilation_units/reduce3_float.cpp.in
index ee127c2d9..b290d5279 100644
--- a/libnd4j/include/loops/cpu/compilation_units/reduce3_float.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/reduce3_float.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/reduce3_float16.cpp.in b/libnd4j/include/loops/cpu/compilation_units/reduce3_float16.cpp.in
index 65c2b563a..612f2c471 100644
--- a/libnd4j/include/loops/cpu/compilation_units/reduce3_float16.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/reduce3_float16.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/reduce_float.cpp.in b/libnd4j/include/loops/cpu/compilation_units/reduce_float.cpp.in
index 3837c7810..6d8e7c452 100644
--- a/libnd4j/include/loops/cpu/compilation_units/reduce_float.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/reduce_float.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/loops/cpu/compilation_units/scalar_p.cpp.in b/libnd4j/include/loops/cpu/compilation_units/scalar_p.cpp.in
index dc024170d..486f08a46 100644
--- a/libnd4j/include/loops/cpu/compilation_units/scalar_p.cpp.in
+++ b/libnd4j/include/loops/cpu/compilation_units/scalar_p.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/indexreduce.hpp b/libnd4j/include/loops/cpu/indexreduce.hpp
index d46dd89d7..a4b142d82 100644
--- a/libnd4j/include/loops/cpu/indexreduce.hpp
+++ b/libnd4j/include/loops/cpu/indexreduce.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/pairwise.hpp b/libnd4j/include/loops/cpu/pairwise.hpp
index 45fe46e8f..2a59366e8 100644
--- a/libnd4j/include/loops/cpu/pairwise.hpp
+++ b/libnd4j/include/loops/cpu/pairwise.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/pairwise_bool.cpp b/libnd4j/include/loops/cpu/pairwise_bool.cpp
index dfcdf6bfa..b476ac2e0 100644
--- a/libnd4j/include/loops/cpu/pairwise_bool.cpp
+++ b/libnd4j/include/loops/cpu/pairwise_bool.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/pairwise_int.cpp b/libnd4j/include/loops/cpu/pairwise_int.cpp
index b82216611..3a04571e3 100644
--- a/libnd4j/include/loops/cpu/pairwise_int.cpp
+++ b/libnd4j/include/loops/cpu/pairwise_int.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/random.hpp b/libnd4j/include/loops/cpu/random.hpp
index ea1dc9e76..6b5603d1a 100644
--- a/libnd4j/include/loops/cpu/random.hpp
+++ b/libnd4j/include/loops/cpu/random.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/reduce/reduce_bool.cpp b/libnd4j/include/loops/cpu/reduce/reduce_bool.cpp
index 754002eaa..11d80708a 100644
--- a/libnd4j/include/loops/cpu/reduce/reduce_bool.cpp
+++ b/libnd4j/include/loops/cpu/reduce/reduce_bool.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/reduce/reduce_float.hpp b/libnd4j/include/loops/cpu/reduce/reduce_float.hpp
index 352fa2200..e5e2b0370 100644
--- a/libnd4j/include/loops/cpu/reduce/reduce_float.hpp
+++ b/libnd4j/include/loops/cpu/reduce/reduce_float.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/reduce/reduce_long.cpp b/libnd4j/include/loops/cpu/reduce/reduce_long.cpp
index e908f1fc7..3f328d8df 100644
--- a/libnd4j/include/loops/cpu/reduce/reduce_long.cpp
+++ b/libnd4j/include/loops/cpu/reduce/reduce_long.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/reduce/reduce_same.cpp b/libnd4j/include/loops/cpu/reduce/reduce_same.cpp
index 78cce19a0..8307adaf4 100644
--- a/libnd4j/include/loops/cpu/reduce/reduce_same.cpp
+++ b/libnd4j/include/loops/cpu/reduce/reduce_same.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/reduce3.hpp b/libnd4j/include/loops/cpu/reduce3.hpp
index a19c7c1a1..62c300ff1 100644
--- a/libnd4j/include/loops/cpu/reduce3.hpp
+++ b/libnd4j/include/loops/cpu/reduce3.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/scalar.hpp b/libnd4j/include/loops/cpu/scalar.hpp
index f539f387f..3e330865c 100644
--- a/libnd4j/include/loops/cpu/scalar.hpp
+++ b/libnd4j/include/loops/cpu/scalar.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/scalar_bool.cpp b/libnd4j/include/loops/cpu/scalar_bool.cpp
index 63182bdc3..e26687df5 100644
--- a/libnd4j/include/loops/cpu/scalar_bool.cpp
+++ b/libnd4j/include/loops/cpu/scalar_bool.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/scalar_int.cpp b/libnd4j/include/loops/cpu/scalar_int.cpp
index adf53e7f6..f523b5b8b 100644
--- a/libnd4j/include/loops/cpu/scalar_int.cpp
+++ b/libnd4j/include/loops/cpu/scalar_int.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/summarystatsreduce.cpp b/libnd4j/include/loops/cpu/summarystatsreduce.cpp
index 63993d853..69a2811f6 100644
--- a/libnd4j/include/loops/cpu/summarystatsreduce.cpp
+++ b/libnd4j/include/loops/cpu/summarystatsreduce.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/transform/transform_any.cpp b/libnd4j/include/loops/cpu/transform/transform_any.cpp
index 6a8c07094..20275575a 100644
--- a/libnd4j/include/loops/cpu/transform/transform_any.cpp
+++ b/libnd4j/include/loops/cpu/transform/transform_any.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/transform/transform_bool.cpp b/libnd4j/include/loops/cpu/transform/transform_bool.cpp
index 5e88a15c3..2cdc4c881 100644
--- a/libnd4j/include/loops/cpu/transform/transform_bool.cpp
+++ b/libnd4j/include/loops/cpu/transform/transform_bool.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/transform/transform_float.cpp b/libnd4j/include/loops/cpu/transform/transform_float.cpp
index fd37391c2..dc763689c 100644
--- a/libnd4j/include/loops/cpu/transform/transform_float.cpp
+++ b/libnd4j/include/loops/cpu/transform/transform_float.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/transform/transform_same.cpp b/libnd4j/include/loops/cpu/transform/transform_same.cpp
index d2793d9c0..82c6fd8ee 100644
--- a/libnd4j/include/loops/cpu/transform/transform_same.cpp
+++ b/libnd4j/include/loops/cpu/transform/transform_same.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cpu/transform/transform_strict.cpp b/libnd4j/include/loops/cpu/transform/transform_strict.cpp
index 54a24d0e3..f77a2649b 100644
--- a/libnd4j/include/loops/cpu/transform/transform_strict.cpp
+++ b/libnd4j/include/loops/cpu/transform/transform_strict.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/broadcasting.chpp b/libnd4j/include/loops/cuda/broadcasting.chpp
index 80db91782..12d400279 100644
--- a/libnd4j/include/loops/cuda/broadcasting.chpp
+++ b/libnd4j/include/loops/cuda/broadcasting.chpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/broadcasting.cu b/libnd4j/include/loops/cuda/broadcasting.cu
index 55c882c3f..030bbcac3 100644
--- a/libnd4j/include/loops/cuda/broadcasting.cu
+++ b/libnd4j/include/loops/cuda/broadcasting.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/broadcasting_bool.cu b/libnd4j/include/loops/cuda/broadcasting_bool.cu
index b2d94def8..ce0dab88d 100644
--- a/libnd4j/include/loops/cuda/broadcasting_bool.cu
+++ b/libnd4j/include/loops/cuda/broadcasting_bool.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/broadcasting_int.cu b/libnd4j/include/loops/cuda/broadcasting_int.cu
index 1d3c0375a..d4c17268a 100644
--- a/libnd4j/include/loops/cuda/broadcasting_int.cu
+++ b/libnd4j/include/loops/cuda/broadcasting_int.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/compilation_units/broadcasting.cu.in b/libnd4j/include/loops/cuda/compilation_units/broadcasting.cu.in
index 6349dcfc9..47da4e633 100644
--- a/libnd4j/include/loops/cuda/compilation_units/broadcasting.cu.in
+++ b/libnd4j/include/loops/cuda/compilation_units/broadcasting.cu.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/compilation_units/pairwise.cu.in b/libnd4j/include/loops/cuda/compilation_units/pairwise.cu.in
index 312ed7416..52de1ca3c 100644
--- a/libnd4j/include/loops/cuda/compilation_units/pairwise.cu.in
+++ b/libnd4j/include/loops/cuda/compilation_units/pairwise.cu.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/compilation_units/reduce3.cu.in b/libnd4j/include/loops/cuda/compilation_units/reduce3.cu.in
index dd7472836..6625179dd 100644
--- a/libnd4j/include/loops/cuda/compilation_units/reduce3.cu.in
+++ b/libnd4j/include/loops/cuda/compilation_units/reduce3.cu.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/compilation_units/reduce_float.cu.in b/libnd4j/include/loops/cuda/compilation_units/reduce_float.cu.in
index 34c2bf8ca..7012b2965 100644
--- a/libnd4j/include/loops/cuda/compilation_units/reduce_float.cu.in
+++ b/libnd4j/include/loops/cuda/compilation_units/reduce_float.cu.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/compilation_units/scalar.cu.in b/libnd4j/include/loops/cuda/compilation_units/scalar.cu.in
index 15608bdd1..27d6e5433 100644
--- a/libnd4j/include/loops/cuda/compilation_units/scalar.cu.in
+++ b/libnd4j/include/loops/cuda/compilation_units/scalar.cu.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/indexreduce.cu b/libnd4j/include/loops/cuda/indexreduce.cu
index 23f0be7cd..00bd5adf6 100644
--- a/libnd4j/include/loops/cuda/indexreduce.cu
+++ b/libnd4j/include/loops/cuda/indexreduce.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/inplace_loops/reduce_same_inplace.h b/libnd4j/include/loops/cuda/inplace_loops/reduce_same_inplace.h
index 1989cadc5..b16f5c271 100644
--- a/libnd4j/include/loops/cuda/inplace_loops/reduce_same_inplace.h
+++ b/libnd4j/include/loops/cuda/inplace_loops/reduce_same_inplace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/inplace_loops/scalar_inplace.h b/libnd4j/include/loops/cuda/inplace_loops/scalar_inplace.h
index df1a87ba8..3f979d652 100644
--- a/libnd4j/include/loops/cuda/inplace_loops/scalar_inplace.h
+++ b/libnd4j/include/loops/cuda/inplace_loops/scalar_inplace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/inplace_loops/transform_strict_inplace.h b/libnd4j/include/loops/cuda/inplace_loops/transform_strict_inplace.h
index c4b94fca5..d2166c04d 100644
--- a/libnd4j/include/loops/cuda/inplace_loops/transform_strict_inplace.h
+++ b/libnd4j/include/loops/cuda/inplace_loops/transform_strict_inplace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/legacy/grid_shaped.legacy b/libnd4j/include/loops/cuda/legacy/grid_shaped.legacy
index 086647728..5748d0b99 100644
--- a/libnd4j/include/loops/cuda/legacy/grid_shaped.legacy
+++ b/libnd4j/include/loops/cuda/legacy/grid_shaped.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/legacy/grid_strided.legacy b/libnd4j/include/loops/cuda/legacy/grid_strided.legacy
index f5f88f5a1..3fd4236c0 100644
--- a/libnd4j/include/loops/cuda/legacy/grid_strided.legacy
+++ b/libnd4j/include/loops/cuda/legacy/grid_strided.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/legacy/reduce.legacy b/libnd4j/include/loops/cuda/legacy/reduce.legacy
index 1f9b1a1c5..db11bd5ac 100644
--- a/libnd4j/include/loops/cuda/legacy/reduce.legacy
+++ b/libnd4j/include/loops/cuda/legacy/reduce.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/legacy/scalar_temp.legacy b/libnd4j/include/loops/cuda/legacy/scalar_temp.legacy
index f9ea86883..d2fd4cb41 100644
--- a/libnd4j/include/loops/cuda/legacy/scalar_temp.legacy
+++ b/libnd4j/include/loops/cuda/legacy/scalar_temp.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/legacy/transform.legacy b/libnd4j/include/loops/cuda/legacy/transform.legacy
index 88a4ceb16..6cd22820b 100644
--- a/libnd4j/include/loops/cuda/legacy/transform.legacy
+++ b/libnd4j/include/loops/cuda/legacy/transform.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/pairwise.chpp b/libnd4j/include/loops/cuda/pairwise.chpp
index ee2c01695..ee7d099b9 100644
--- a/libnd4j/include/loops/cuda/pairwise.chpp
+++ b/libnd4j/include/loops/cuda/pairwise.chpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/pairwise.cu b/libnd4j/include/loops/cuda/pairwise.cu
index 4833d32d0..e1ddd0b91 100644
--- a/libnd4j/include/loops/cuda/pairwise.cu
+++ b/libnd4j/include/loops/cuda/pairwise.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/pairwise_bool.cu b/libnd4j/include/loops/cuda/pairwise_bool.cu
index 29cc90f2c..47690710e 100644
--- a/libnd4j/include/loops/cuda/pairwise_bool.cu
+++ b/libnd4j/include/loops/cuda/pairwise_bool.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/pairwise_int.cu b/libnd4j/include/loops/cuda/pairwise_int.cu
index 740995cee..5366db3c3 100644
--- a/libnd4j/include/loops/cuda/pairwise_int.cu
+++ b/libnd4j/include/loops/cuda/pairwise_int.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/random.cu b/libnd4j/include/loops/cuda/random.cu
index 755763293..68f807297 100644
--- a/libnd4j/include/loops/cuda/random.cu
+++ b/libnd4j/include/loops/cuda/random.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/reduce/reduce_bool.cu b/libnd4j/include/loops/cuda/reduce/reduce_bool.cu
index 0c81334a6..6a13ac4c5 100644
--- a/libnd4j/include/loops/cuda/reduce/reduce_bool.cu
+++ b/libnd4j/include/loops/cuda/reduce/reduce_bool.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/reduce/reduce_float.chpp b/libnd4j/include/loops/cuda/reduce/reduce_float.chpp
index d4882d6c0..6a73e569f 100644
--- a/libnd4j/include/loops/cuda/reduce/reduce_float.chpp
+++ b/libnd4j/include/loops/cuda/reduce/reduce_float.chpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/reduce/reduce_long.cu b/libnd4j/include/loops/cuda/reduce/reduce_long.cu
index e80afa6b2..418717f0f 100644
--- a/libnd4j/include/loops/cuda/reduce/reduce_long.cu
+++ b/libnd4j/include/loops/cuda/reduce/reduce_long.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/reduce/reduce_same.cu b/libnd4j/include/loops/cuda/reduce/reduce_same.cu
index 0ae76eb51..547bc889d 100644
--- a/libnd4j/include/loops/cuda/reduce/reduce_same.cu
+++ b/libnd4j/include/loops/cuda/reduce/reduce_same.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/reduce3.chpp b/libnd4j/include/loops/cuda/reduce3.chpp
index 799ddda6a..213c7aa26 100644
--- a/libnd4j/include/loops/cuda/reduce3.chpp
+++ b/libnd4j/include/loops/cuda/reduce3.chpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/scalar.chpp b/libnd4j/include/loops/cuda/scalar.chpp
index 93b76f910..7640a4eba 100644
--- a/libnd4j/include/loops/cuda/scalar.chpp
+++ b/libnd4j/include/loops/cuda/scalar.chpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/scalar.cu b/libnd4j/include/loops/cuda/scalar.cu
index 26c3e5cb8..165ea3bd6 100644
--- a/libnd4j/include/loops/cuda/scalar.cu
+++ b/libnd4j/include/loops/cuda/scalar.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/scalar_bool.cu b/libnd4j/include/loops/cuda/scalar_bool.cu
index 0976e60ad..4ef172c98 100644
--- a/libnd4j/include/loops/cuda/scalar_bool.cu
+++ b/libnd4j/include/loops/cuda/scalar_bool.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/scalar_int.cu b/libnd4j/include/loops/cuda/scalar_int.cu
index b8cac0846..a72c950ab 100644
--- a/libnd4j/include/loops/cuda/scalar_int.cu
+++ b/libnd4j/include/loops/cuda/scalar_int.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/accumulateKernel.cu b/libnd4j/include/loops/cuda/specials/accumulateKernel.cu
index 6d6dd42a4..4681c8abe 100644
--- a/libnd4j/include/loops/cuda/specials/accumulateKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/accumulateKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/averagingKernel.cu b/libnd4j/include/loops/cuda/specials/averagingKernel.cu
index 798b273cf..f4fe54a65 100644
--- a/libnd4j/include/loops/cuda/specials/averagingKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/averagingKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/bitonicArbitraryStep.cu b/libnd4j/include/loops/cuda/specials/bitonicArbitraryStep.cu
index 999a09942..83ab3aa60 100644
--- a/libnd4j/include/loops/cuda/specials/bitonicArbitraryStep.cu
+++ b/libnd4j/include/loops/cuda/specials/bitonicArbitraryStep.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/bitonicSortStep.cu b/libnd4j/include/loops/cuda/specials/bitonicSortStep.cu
index 679e44d1f..10597cd1f 100644
--- a/libnd4j/include/loops/cuda/specials/bitonicSortStep.cu
+++ b/libnd4j/include/loops/cuda/specials/bitonicSortStep.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/concatKernel.cu b/libnd4j/include/loops/cuda/specials/concatKernel.cu
index a4a849e49..040923245 100644
--- a/libnd4j/include/loops/cuda/specials/concatKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/concatKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/concatKernelHStack.cu b/libnd4j/include/loops/cuda/specials/concatKernelHStack.cu
index 8ef9dfd24..f48f0e83b 100644
--- a/libnd4j/include/loops/cuda/specials/concatKernelHStack.cu
+++ b/libnd4j/include/loops/cuda/specials/concatKernelHStack.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/concatKernelScalar.cu b/libnd4j/include/loops/cuda/specials/concatKernelScalar.cu
index 6614480f2..f60d3b600 100644
--- a/libnd4j/include/loops/cuda/specials/concatKernelScalar.cu
+++ b/libnd4j/include/loops/cuda/specials/concatKernelScalar.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/concatKernelVStack.cu b/libnd4j/include/loops/cuda/specials/concatKernelVStack.cu
index f95bad413..a1fa169a9 100644
--- a/libnd4j/include/loops/cuda/specials/concatKernelVStack.cu
+++ b/libnd4j/include/loops/cuda/specials/concatKernelVStack.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/convertHalfs.cu b/libnd4j/include/loops/cuda/specials/convertHalfs.cu
index dec1705a4..01477ed10 100644
--- a/libnd4j/include/loops/cuda/specials/convertHalfs.cu
+++ b/libnd4j/include/loops/cuda/specials/convertHalfs.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/convertToHalf.cu b/libnd4j/include/loops/cuda/specials/convertToHalf.cu
index d86982d03..66b43027c 100644
--- a/libnd4j/include/loops/cuda/specials/convertToHalf.cu
+++ b/libnd4j/include/loops/cuda/specials/convertToHalf.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/fillDimensionalIsMax.cu b/libnd4j/include/loops/cuda/specials/fillDimensionalIsMax.cu
index 409f84cc6..0c7524ffc 100644
--- a/libnd4j/include/loops/cuda/specials/fillDimensionalIsMax.cu
+++ b/libnd4j/include/loops/cuda/specials/fillDimensionalIsMax.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/fillIsMax.cu b/libnd4j/include/loops/cuda/specials/fillIsMax.cu
index 00997b022..3f5587e01 100644
--- a/libnd4j/include/loops/cuda/specials/fillIsMax.cu
+++ b/libnd4j/include/loops/cuda/specials/fillIsMax.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/flatten.cu b/libnd4j/include/loops/cuda/specials/flatten.cu
index b0bbf58e1..9290ad040 100644
--- a/libnd4j/include/loops/cuda/specials/flatten.cu
+++ b/libnd4j/include/loops/cuda/specials/flatten.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/oesTad.cu b/libnd4j/include/loops/cuda/specials/oesTad.cu
index 6f08e23ad..1efd2b06b 100644
--- a/libnd4j/include/loops/cuda/specials/oesTad.cu
+++ b/libnd4j/include/loops/cuda/specials/oesTad.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/pullRowsKernel.cu b/libnd4j/include/loops/cuda/specials/pullRowsKernel.cu
index 69d103e67..90ea2c5da 100644
--- a/libnd4j/include/loops/cuda/specials/pullRowsKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/pullRowsKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/setDiagonalKernel.cu b/libnd4j/include/loops/cuda/specials/setDiagonalKernel.cu
index bb063180c..549c1201d 100644
--- a/libnd4j/include/loops/cuda/specials/setDiagonalKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/setDiagonalKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/shuffleKernel.cu b/libnd4j/include/loops/cuda/specials/shuffleKernel.cu
index db63c2af7..e958b7265 100644
--- a/libnd4j/include/loops/cuda/specials/shuffleKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/shuffleKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/swapUnsafeKernel.cu b/libnd4j/include/loops/cuda/specials/swapUnsafeKernel.cu
index 6d2bcadf5..2586e51d7 100644
--- a/libnd4j/include/loops/cuda/specials/swapUnsafeKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/swapUnsafeKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/tearKernel.cu b/libnd4j/include/loops/cuda/specials/tearKernel.cu
index e1d70e6b5..054294874 100644
--- a/libnd4j/include/loops/cuda/specials/tearKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/tearKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/specials/tileKernel.cu b/libnd4j/include/loops/cuda/specials/tileKernel.cu
index 3a2684579..6c5b73db6 100644
--- a/libnd4j/include/loops/cuda/specials/tileKernel.cu
+++ b/libnd4j/include/loops/cuda/specials/tileKernel.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/summarystatsreduce.cu b/libnd4j/include/loops/cuda/summarystatsreduce.cu
index bdab3d743..f37e6e31e 100644
--- a/libnd4j/include/loops/cuda/summarystatsreduce.cu
+++ b/libnd4j/include/loops/cuda/summarystatsreduce.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/transform/transform_any.cu b/libnd4j/include/loops/cuda/transform/transform_any.cu
index 8b00b28fe..77484a5e7 100644
--- a/libnd4j/include/loops/cuda/transform/transform_any.cu
+++ b/libnd4j/include/loops/cuda/transform/transform_any.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/transform/transform_bool.cu b/libnd4j/include/loops/cuda/transform/transform_bool.cu
index f9526d296..9bfcc4974 100644
--- a/libnd4j/include/loops/cuda/transform/transform_bool.cu
+++ b/libnd4j/include/loops/cuda/transform/transform_bool.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/transform/transform_float.cu b/libnd4j/include/loops/cuda/transform/transform_float.cu
index 6b6889009..af82cdc65 100644
--- a/libnd4j/include/loops/cuda/transform/transform_float.cu
+++ b/libnd4j/include/loops/cuda/transform/transform_float.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/transform/transform_same.cu b/libnd4j/include/loops/cuda/transform/transform_same.cu
index b03146da9..5758b2b02 100644
--- a/libnd4j/include/loops/cuda/transform/transform_same.cu
+++ b/libnd4j/include/loops/cuda/transform/transform_same.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/transform/transform_strict.cu b/libnd4j/include/loops/cuda/transform/transform_strict.cu
index f36b50c29..998e151b4 100644
--- a/libnd4j/include/loops/cuda/transform/transform_strict.cu
+++ b/libnd4j/include/loops/cuda/transform/transform_strict.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/cuda/type_conversions.cu b/libnd4j/include/loops/cuda/type_conversions.cu
index d0dee4f0d..96ebb2031 100644
--- a/libnd4j/include/loops/cuda/type_conversions.cu
+++ b/libnd4j/include/loops/cuda/type_conversions.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/grid_shaped.legacy b/libnd4j/include/loops/grid_shaped.legacy
index 0d5c8e936..a76093416 100644
--- a/libnd4j/include/loops/grid_shaped.legacy
+++ b/libnd4j/include/loops/grid_shaped.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/grid_strided.legacy b/libnd4j/include/loops/grid_strided.legacy
index b707c1673..e1a0810af 100644
--- a/libnd4j/include/loops/grid_strided.legacy
+++ b/libnd4j/include/loops/grid_strided.legacy
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/impl/type_conversions.cpp b/libnd4j/include/loops/impl/type_conversions.cpp
index a2f302d25..47b3c42d8 100644
--- a/libnd4j/include/loops/impl/type_conversions.cpp
+++ b/libnd4j/include/loops/impl/type_conversions.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/indexreduce.h b/libnd4j/include/loops/indexreduce.h
index 173c79b64..9aadf45c6 100755
--- a/libnd4j/include/loops/indexreduce.h
+++ b/libnd4j/include/loops/indexreduce.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/legacy_ops.h b/libnd4j/include/loops/legacy_ops.h
index 001f8806c..08d719f0b 100644
--- a/libnd4j/include/loops/legacy_ops.h
+++ b/libnd4j/include/loops/legacy_ops.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/pairwise_bool.h b/libnd4j/include/loops/pairwise_bool.h
index 9cc8f220c..907c36c65 100644
--- a/libnd4j/include/loops/pairwise_bool.h
+++ b/libnd4j/include/loops/pairwise_bool.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/pairwise_int.h b/libnd4j/include/loops/pairwise_int.h
index 64deebc04..def2fb723 100644
--- a/libnd4j/include/loops/pairwise_int.h
+++ b/libnd4j/include/loops/pairwise_int.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/pairwise_transform.h b/libnd4j/include/loops/pairwise_transform.h
index b3b514df6..ad6cb16df 100755
--- a/libnd4j/include/loops/pairwise_transform.h
+++ b/libnd4j/include/loops/pairwise_transform.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/random.h b/libnd4j/include/loops/random.h
index 9b35f472f..065d6b9d5 100644
--- a/libnd4j/include/loops/random.h
+++ b/libnd4j/include/loops/random.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/reduce3.h b/libnd4j/include/loops/reduce3.h
index f2496f1fe..7c1affbd4 100755
--- a/libnd4j/include/loops/reduce3.h
+++ b/libnd4j/include/loops/reduce3.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/reduce_bool.h b/libnd4j/include/loops/reduce_bool.h
index 170b29991..3a10d9837 100644
--- a/libnd4j/include/loops/reduce_bool.h
+++ b/libnd4j/include/loops/reduce_bool.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/reduce_float.h b/libnd4j/include/loops/reduce_float.h
index bc78df2d9..d06ea89e3 100644
--- a/libnd4j/include/loops/reduce_float.h
+++ b/libnd4j/include/loops/reduce_float.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/reduce_long.h b/libnd4j/include/loops/reduce_long.h
index 5ee0cce3b..30c3226e0 100644
--- a/libnd4j/include/loops/reduce_long.h
+++ b/libnd4j/include/loops/reduce_long.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/reduce_same.h b/libnd4j/include/loops/reduce_same.h
index f28409bc6..7b5e76415 100644
--- a/libnd4j/include/loops/reduce_same.h
+++ b/libnd4j/include/loops/reduce_same.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/scalar.h b/libnd4j/include/loops/scalar.h
index f7333d57d..35bd7611d 100755
--- a/libnd4j/include/loops/scalar.h
+++ b/libnd4j/include/loops/scalar.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/scalar_bool.h b/libnd4j/include/loops/scalar_bool.h
index 4992df5a1..455932a08 100644
--- a/libnd4j/include/loops/scalar_bool.h
+++ b/libnd4j/include/loops/scalar_bool.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/scalar_int.h b/libnd4j/include/loops/scalar_int.h
index c3a53199e..1ca41dc80 100644
--- a/libnd4j/include/loops/scalar_int.h
+++ b/libnd4j/include/loops/scalar_int.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/special_kernels.h b/libnd4j/include/loops/special_kernels.h
index 209d35120..ad4c2925b 100644
--- a/libnd4j/include/loops/special_kernels.h
+++ b/libnd4j/include/loops/special_kernels.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/summarystatsreduce.h b/libnd4j/include/loops/summarystatsreduce.h
index 12aea687a..657a02053 100755
--- a/libnd4j/include/loops/summarystatsreduce.h
+++ b/libnd4j/include/loops/summarystatsreduce.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/transform_any.h b/libnd4j/include/loops/transform_any.h
index 751328b89..1de53d92b 100644
--- a/libnd4j/include/loops/transform_any.h
+++ b/libnd4j/include/loops/transform_any.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/transform_bool.h b/libnd4j/include/loops/transform_bool.h
index 5553c164f..3aca8cf99 100644
--- a/libnd4j/include/loops/transform_bool.h
+++ b/libnd4j/include/loops/transform_bool.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/transform_float.h b/libnd4j/include/loops/transform_float.h
index 4264278ba..6f2c6fb41 100644
--- a/libnd4j/include/loops/transform_float.h
+++ b/libnd4j/include/loops/transform_float.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/transform_same.h b/libnd4j/include/loops/transform_same.h
index cb069ecc9..90c343f92 100644
--- a/libnd4j/include/loops/transform_same.h
+++ b/libnd4j/include/loops/transform_same.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/transform_strict.h b/libnd4j/include/loops/transform_strict.h
index 903f4e9df..624fd30c1 100644
--- a/libnd4j/include/loops/transform_strict.h
+++ b/libnd4j/include/loops/transform_strict.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/loops/type_conversions.h b/libnd4j/include/loops/type_conversions.h
index b56921435..28bf0ac63 100644
--- a/libnd4j/include/loops/type_conversions.h
+++ b/libnd4j/include/loops/type_conversions.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/math/platformmath.h b/libnd4j/include/math/platformmath.h
index a83775050..4c2db9788 100644
--- a/libnd4j/include/math/platformmath.h
+++ b/libnd4j/include/math/platformmath.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/math/templatemath.h b/libnd4j/include/math/templatemath.h
index 0bfb4d511..24c27a157 100644
--- a/libnd4j/include/math/templatemath.h
+++ b/libnd4j/include/math/templatemath.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /*
  * templatemath.h
diff --git a/libnd4j/include/memory/AllocationEntry.h b/libnd4j/include/memory/AllocationEntry.h
index 815a5c992..0d6266da3 100644
--- a/libnd4j/include/memory/AllocationEntry.h
+++ b/libnd4j/include/memory/AllocationEntry.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/ExternalWorkspace.h b/libnd4j/include/memory/ExternalWorkspace.h
index 772afc608..88d849c0e 100644
--- a/libnd4j/include/memory/ExternalWorkspace.h
+++ b/libnd4j/include/memory/ExternalWorkspace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/MemoryCounter.h b/libnd4j/include/memory/MemoryCounter.h
index 160c24379..0f03f76a1 100644
--- a/libnd4j/include/memory/MemoryCounter.h
+++ b/libnd4j/include/memory/MemoryCounter.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/MemoryRegistrator.h b/libnd4j/include/memory/MemoryRegistrator.h
index 70afafb42..a089967be 100644
--- a/libnd4j/include/memory/MemoryRegistrator.h
+++ b/libnd4j/include/memory/MemoryRegistrator.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/MemoryReport.h b/libnd4j/include/memory/MemoryReport.h
index 647886ab5..98f72de41 100644
--- a/libnd4j/include/memory/MemoryReport.h
+++ b/libnd4j/include/memory/MemoryReport.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/MemoryTracker.h b/libnd4j/include/memory/MemoryTracker.h
index dd99905bd..9d8191a73 100644
--- a/libnd4j/include/memory/MemoryTracker.h
+++ b/libnd4j/include/memory/MemoryTracker.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/MemoryUtils.h b/libnd4j/include/memory/MemoryUtils.h
index 027008238..0818e41ab 100644
--- a/libnd4j/include/memory/MemoryUtils.h
+++ b/libnd4j/include/memory/MemoryUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/Workspace.h b/libnd4j/include/memory/Workspace.h
index c97f6a178..24912c71e 100644
--- a/libnd4j/include/memory/Workspace.h
+++ b/libnd4j/include/memory/Workspace.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/cpu/Workspace.cpp b/libnd4j/include/memory/cpu/Workspace.cpp
index ae60f1eea..e7dc86ae1 100644
--- a/libnd4j/include/memory/cpu/Workspace.cpp
+++ b/libnd4j/include/memory/cpu/Workspace.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/cuda/Workspace.cu b/libnd4j/include/memory/cuda/Workspace.cu
index 9d2286156..1ba3ce486 100644
--- a/libnd4j/include/memory/cuda/Workspace.cu
+++ b/libnd4j/include/memory/cuda/Workspace.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/AllocationEntry.cpp b/libnd4j/include/memory/impl/AllocationEntry.cpp
index 6b4d85bb1..750b78966 100644
--- a/libnd4j/include/memory/impl/AllocationEntry.cpp
+++ b/libnd4j/include/memory/impl/AllocationEntry.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/ExternalWorkspace.cpp b/libnd4j/include/memory/impl/ExternalWorkspace.cpp
index c4feb181d..1a95ff149 100644
--- a/libnd4j/include/memory/impl/ExternalWorkspace.cpp
+++ b/libnd4j/include/memory/impl/ExternalWorkspace.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/MemoryCounter.cpp b/libnd4j/include/memory/impl/MemoryCounter.cpp
index 287b19897..768cc64c9 100644
--- a/libnd4j/include/memory/impl/MemoryCounter.cpp
+++ b/libnd4j/include/memory/impl/MemoryCounter.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/MemoryRegistrator.cpp b/libnd4j/include/memory/impl/MemoryRegistrator.cpp
index 0ac2bf0cb..3b16425c2 100644
--- a/libnd4j/include/memory/impl/MemoryRegistrator.cpp
+++ b/libnd4j/include/memory/impl/MemoryRegistrator.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/MemoryReport.cpp b/libnd4j/include/memory/impl/MemoryReport.cpp
index 0c623b0ce..12328640f 100644
--- a/libnd4j/include/memory/impl/MemoryReport.cpp
+++ b/libnd4j/include/memory/impl/MemoryReport.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/MemoryTracker.cpp b/libnd4j/include/memory/impl/MemoryTracker.cpp
index cf2b975cf..a8fca9a86 100644
--- a/libnd4j/include/memory/impl/MemoryTracker.cpp
+++ b/libnd4j/include/memory/impl/MemoryTracker.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/memory/impl/MemoryUtils.cpp b/libnd4j/include/memory/impl/MemoryUtils.cpp
index 8500a044e..05b5d8fe8 100644
--- a/libnd4j/include/memory/impl/MemoryUtils.cpp
+++ b/libnd4j/include/memory/impl/MemoryUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/BroadcastBoolOpsTuple.h b/libnd4j/include/ops/BroadcastBoolOpsTuple.h
index 188186b4c..e41ac7912 100644
--- a/libnd4j/include/ops/BroadcastBoolOpsTuple.h
+++ b/libnd4j/include/ops/BroadcastBoolOpsTuple.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/BroadcastIntOpsTuple.h b/libnd4j/include/ops/BroadcastIntOpsTuple.h
index 258719004..828f8cc89 100644
--- a/libnd4j/include/ops/BroadcastIntOpsTuple.h
+++ b/libnd4j/include/ops/BroadcastIntOpsTuple.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/BroadcastOpsTuple.h b/libnd4j/include/ops/BroadcastOpsTuple.h
index 34e2c6039..51e8afd7b 100644
--- a/libnd4j/include/ops/BroadcastOpsTuple.h
+++ b/libnd4j/include/ops/BroadcastOpsTuple.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/InputType.h b/libnd4j/include/ops/InputType.h
index 4deff4900..3eb2a1ad4 100644
--- a/libnd4j/include/ops/InputType.h
+++ b/libnd4j/include/ops/InputType.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/BooleanOp.h b/libnd4j/include/ops/declarable/BooleanOp.h
index b04ca8eca..d9be57114 100644
--- a/libnd4j/include/ops/declarable/BooleanOp.h
+++ b/libnd4j/include/ops/declarable/BooleanOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/BroadcastableBoolOp.h b/libnd4j/include/ops/declarable/BroadcastableBoolOp.h
index c48650294..a87272ddb 100644
--- a/libnd4j/include/ops/declarable/BroadcastableBoolOp.h
+++ b/libnd4j/include/ops/declarable/BroadcastableBoolOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/BroadcastableOp.h b/libnd4j/include/ops/declarable/BroadcastableOp.h
index 9bc756128..2edb7b8aa 100644
--- a/libnd4j/include/ops/declarable/BroadcastableOp.h
+++ b/libnd4j/include/ops/declarable/BroadcastableOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/CustomOperations.h b/libnd4j/include/ops/declarable/CustomOperations.h
index 8aa612c7b..339914213 100644
--- a/libnd4j/include/ops/declarable/CustomOperations.h
+++ b/libnd4j/include/ops/declarable/CustomOperations.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/DeclarableCustomOp.h b/libnd4j/include/ops/declarable/DeclarableCustomOp.h
index 4aa133a4b..a4714366c 100644
--- a/libnd4j/include/ops/declarable/DeclarableCustomOp.h
+++ b/libnd4j/include/ops/declarable/DeclarableCustomOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/DeclarableListOp.h b/libnd4j/include/ops/declarable/DeclarableListOp.h
index cc77ee17b..0849bd391 100644
--- a/libnd4j/include/ops/declarable/DeclarableListOp.h
+++ b/libnd4j/include/ops/declarable/DeclarableListOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/DeclarableOp.h b/libnd4j/include/ops/declarable/DeclarableOp.h
index 3cce3b8e4..b6bc1ce11 100644
--- a/libnd4j/include/ops/declarable/DeclarableOp.h
+++ b/libnd4j/include/ops/declarable/DeclarableOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/DeclarableReductionOp.h b/libnd4j/include/ops/declarable/DeclarableReductionOp.h
index 11f4ec410..ec74645bb 100644
--- a/libnd4j/include/ops/declarable/DeclarableReductionOp.h
+++ b/libnd4j/include/ops/declarable/DeclarableReductionOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/EmptyHandling.h b/libnd4j/include/ops/declarable/EmptyHandling.h
index c25fea498..267112958 100644
--- a/libnd4j/include/ops/declarable/EmptyHandling.h
+++ b/libnd4j/include/ops/declarable/EmptyHandling.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyBroadcastBoolOp.h b/libnd4j/include/ops/declarable/LegacyBroadcastBoolOp.h
index 67787ca4b..c23615ee1 100644
--- a/libnd4j/include/ops/declarable/LegacyBroadcastBoolOp.h
+++ b/libnd4j/include/ops/declarable/LegacyBroadcastBoolOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyBroadcastOp.h b/libnd4j/include/ops/declarable/LegacyBroadcastOp.h
index 755277397..155d034bf 100644
--- a/libnd4j/include/ops/declarable/LegacyBroadcastOp.h
+++ b/libnd4j/include/ops/declarable/LegacyBroadcastOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyIndexReduceOp.h b/libnd4j/include/ops/declarable/LegacyIndexReduceOp.h
index fae0c5e8f..6260ef33e 100644
--- a/libnd4j/include/ops/declarable/LegacyIndexReduceOp.h
+++ b/libnd4j/include/ops/declarable/LegacyIndexReduceOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyOp.h b/libnd4j/include/ops/declarable/LegacyOp.h
index 0dfd91a42..abbea380b 100644
--- a/libnd4j/include/ops/declarable/LegacyOp.h
+++ b/libnd4j/include/ops/declarable/LegacyOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyPairwiseTransformBoolOp.h b/libnd4j/include/ops/declarable/LegacyPairwiseTransformBoolOp.h
index 16a482811..5c567630d 100644
--- a/libnd4j/include/ops/declarable/LegacyPairwiseTransformBoolOp.h
+++ b/libnd4j/include/ops/declarable/LegacyPairwiseTransformBoolOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyPairwiseTransformOp.h b/libnd4j/include/ops/declarable/LegacyPairwiseTransformOp.h
index 81bbdc715..b22db46e9 100644
--- a/libnd4j/include/ops/declarable/LegacyPairwiseTransformOp.h
+++ b/libnd4j/include/ops/declarable/LegacyPairwiseTransformOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyRandomOp.h b/libnd4j/include/ops/declarable/LegacyRandomOp.h
index c0bab879d..5c9f59160 100644
--- a/libnd4j/include/ops/declarable/LegacyRandomOp.h
+++ b/libnd4j/include/ops/declarable/LegacyRandomOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyReduce3Op.h b/libnd4j/include/ops/declarable/LegacyReduce3Op.h
index b0a06bd94..93e623bff 100644
--- a/libnd4j/include/ops/declarable/LegacyReduce3Op.h
+++ b/libnd4j/include/ops/declarable/LegacyReduce3Op.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyReduceBoolOp.h b/libnd4j/include/ops/declarable/LegacyReduceBoolOp.h
index 11cd52146..48dab7471 100644
--- a/libnd4j/include/ops/declarable/LegacyReduceBoolOp.h
+++ b/libnd4j/include/ops/declarable/LegacyReduceBoolOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyReduceFloatOp.h b/libnd4j/include/ops/declarable/LegacyReduceFloatOp.h
index ed36a04fe..74b14c764 100644
--- a/libnd4j/include/ops/declarable/LegacyReduceFloatOp.h
+++ b/libnd4j/include/ops/declarable/LegacyReduceFloatOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyReduceLongOp.h b/libnd4j/include/ops/declarable/LegacyReduceLongOp.h
index 4f23a9717..1b3c89157 100644
--- a/libnd4j/include/ops/declarable/LegacyReduceLongOp.h
+++ b/libnd4j/include/ops/declarable/LegacyReduceLongOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyReduceOp.h b/libnd4j/include/ops/declarable/LegacyReduceOp.h
index 3e289fe25..b505a3849 100644
--- a/libnd4j/include/ops/declarable/LegacyReduceOp.h
+++ b/libnd4j/include/ops/declarable/LegacyReduceOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyReduceSameOp.h b/libnd4j/include/ops/declarable/LegacyReduceSameOp.h
index 86cc06a0e..6a42ba6b5 100644
--- a/libnd4j/include/ops/declarable/LegacyReduceSameOp.h
+++ b/libnd4j/include/ops/declarable/LegacyReduceSameOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyScalarBoolOp.h b/libnd4j/include/ops/declarable/LegacyScalarBoolOp.h
index 0d52eee9d..8fb9c7fd1 100644
--- a/libnd4j/include/ops/declarable/LegacyScalarBoolOp.h
+++ b/libnd4j/include/ops/declarable/LegacyScalarBoolOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyScalarOp.h b/libnd4j/include/ops/declarable/LegacyScalarOp.h
index 9f2a1a23a..843fe5a43 100644
--- a/libnd4j/include/ops/declarable/LegacyScalarOp.h
+++ b/libnd4j/include/ops/declarable/LegacyScalarOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyStatsOp.h b/libnd4j/include/ops/declarable/LegacyStatsOp.h
index 74520b9dd..d3c085a98 100644
--- a/libnd4j/include/ops/declarable/LegacyStatsOp.h
+++ b/libnd4j/include/ops/declarable/LegacyStatsOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyTransformAnyOp.h b/libnd4j/include/ops/declarable/LegacyTransformAnyOp.h
index f98ccd4c8..151f4a3a1 100644
--- a/libnd4j/include/ops/declarable/LegacyTransformAnyOp.h
+++ b/libnd4j/include/ops/declarable/LegacyTransformAnyOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyTransformBoolOp.h b/libnd4j/include/ops/declarable/LegacyTransformBoolOp.h
index d64dd4b01..53d5e508c 100644
--- a/libnd4j/include/ops/declarable/LegacyTransformBoolOp.h
+++ b/libnd4j/include/ops/declarable/LegacyTransformBoolOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyTransformFloatOp.h b/libnd4j/include/ops/declarable/LegacyTransformFloatOp.h
index 37bd0edce..b7f688acc 100644
--- a/libnd4j/include/ops/declarable/LegacyTransformFloatOp.h
+++ b/libnd4j/include/ops/declarable/LegacyTransformFloatOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyTransformOp.h b/libnd4j/include/ops/declarable/LegacyTransformOp.h
index 7eb265bcb..e6f317b23 100644
--- a/libnd4j/include/ops/declarable/LegacyTransformOp.h
+++ b/libnd4j/include/ops/declarable/LegacyTransformOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyTransformSameOp.h b/libnd4j/include/ops/declarable/LegacyTransformSameOp.h
index 4d9312daf..7efb84656 100644
--- a/libnd4j/include/ops/declarable/LegacyTransformSameOp.h
+++ b/libnd4j/include/ops/declarable/LegacyTransformSameOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LegacyTransformStrictOp.h b/libnd4j/include/ops/declarable/LegacyTransformStrictOp.h
index ee48c02b7..ff5f9ae59 100644
--- a/libnd4j/include/ops/declarable/LegacyTransformStrictOp.h
+++ b/libnd4j/include/ops/declarable/LegacyTransformStrictOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/LogicOp.h b/libnd4j/include/ops/declarable/LogicOp.h
index d3ad59af2..fea4b8561 100644
--- a/libnd4j/include/ops/declarable/LogicOp.h
+++ b/libnd4j/include/ops/declarable/LogicOp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/OpDescriptor.h b/libnd4j/include/ops/declarable/OpDescriptor.h
index 3feff5916..ee9a7413b 100644
--- a/libnd4j/include/ops/declarable/OpDescriptor.h
+++ b/libnd4j/include/ops/declarable/OpDescriptor.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/OpRegistrator.h b/libnd4j/include/ops/declarable/OpRegistrator.h
index a4967d877..a5c331672 100644
--- a/libnd4j/include/ops/declarable/OpRegistrator.h
+++ b/libnd4j/include/ops/declarable/OpRegistrator.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/OpTuple.h b/libnd4j/include/ops/declarable/OpTuple.h
index 7458ef3d0..01846fab6 100644
--- a/libnd4j/include/ops/declarable/OpTuple.h
+++ b/libnd4j/include/ops/declarable/OpTuple.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/PlatformHelper.h b/libnd4j/include/ops/declarable/PlatformHelper.h
index e0231ad9a..0796204ec 100644
--- a/libnd4j/include/ops/declarable/PlatformHelper.h
+++ b/libnd4j/include/ops/declarable/PlatformHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/CustomOperations.cpp b/libnd4j/include/ops/declarable/generic/CustomOperations.cpp
index c13430ce3..700445a93 100644
--- a/libnd4j/include/ops/declarable/generic/CustomOperations.cpp
+++ b/libnd4j/include/ops/declarable/generic/CustomOperations.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/bits_hamming_distance.cpp b/libnd4j/include/ops/declarable/generic/bitwise/bits_hamming_distance.cpp
index 693ebf7c6..e9aa289fe 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/bits_hamming_distance.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/bits_hamming_distance.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/bitwise_and.cpp b/libnd4j/include/ops/declarable/generic/bitwise/bitwise_and.cpp
index 1e951c1d9..c53a8fbd6 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/bitwise_and.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/bitwise_and.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/bitwise_or.cpp b/libnd4j/include/ops/declarable/generic/bitwise/bitwise_or.cpp
index cd20a8434..57f20de2d 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/bitwise_or.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/bitwise_or.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/bitwise_xor.cpp b/libnd4j/include/ops/declarable/generic/bitwise/bitwise_xor.cpp
index 0af9fe759..6a0401c6e 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/bitwise_xor.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/bitwise_xor.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/cyclic_rshift.cpp b/libnd4j/include/ops/declarable/generic/bitwise/cyclic_rshift.cpp
index cc0c4827b..94205bf39 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/cyclic_rshift.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/cyclic_rshift.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/cyclic_shift.cpp b/libnd4j/include/ops/declarable/generic/bitwise/cyclic_shift.cpp
index f2b36a6d8..f87d91e2a 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/cyclic_shift.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/cyclic_shift.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/rshift.cpp b/libnd4j/include/ops/declarable/generic/bitwise/rshift.cpp
index 8b44d2a6f..bd0a90d14 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/rshift.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/rshift.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/shift.cpp b/libnd4j/include/ops/declarable/generic/bitwise/shift.cpp
index 7d0647e1b..bce70e516 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/shift.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/shift.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/bitwise/toggle_bits.cpp b/libnd4j/include/ops/declarable/generic/bitwise/toggle_bits.cpp
index 0ba6fbcc7..b9a054c7a 100644
--- a/libnd4j/include/ops/declarable/generic/bitwise/toggle_bits.cpp
+++ b/libnd4j/include/ops/declarable/generic/bitwise/toggle_bits.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/blas/axpy.cpp b/libnd4j/include/ops/declarable/generic/blas/axpy.cpp
index 7c1150599..aa5d40391 100644
--- a/libnd4j/include/ops/declarable/generic/blas/axpy.cpp
+++ b/libnd4j/include/ops/declarable/generic/blas/axpy.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/blas/batched_gemm.cpp b/libnd4j/include/ops/declarable/generic/blas/batched_gemm.cpp
index 79227e2ba..dce12d776 100644
--- a/libnd4j/include/ops/declarable/generic/blas/batched_gemm.cpp
+++ b/libnd4j/include/ops/declarable/generic/blas/batched_gemm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/blas/matmul.cpp b/libnd4j/include/ops/declarable/generic/blas/matmul.cpp
index f8ee952a8..2cba65afb 100644
--- a/libnd4j/include/ops/declarable/generic/blas/matmul.cpp
+++ b/libnd4j/include/ops/declarable/generic/blas/matmul.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/blas/tensormmul.cpp b/libnd4j/include/ops/declarable/generic/blas/tensormmul.cpp
index 0ae64b8cd..159918d3c 100644
--- a/libnd4j/include/ops/declarable/generic/blas/tensormmul.cpp
+++ b/libnd4j/include/ops/declarable/generic/blas/tensormmul.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/boolean_not.cpp b/libnd4j/include/ops/declarable/generic/boolean/boolean_not.cpp
index 56047f16c..a68c0f192 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/boolean_not.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/boolean_not.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/choose.cpp b/libnd4j/include/ops/declarable/generic/boolean/choose.cpp
index a28d8230b..d2445c46d 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/choose.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/choose.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/eq_scalar.cpp b/libnd4j/include/ops/declarable/generic/boolean/eq_scalar.cpp
index c0623ebb7..330afbfc7 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/eq_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/eq_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/gt_scalar.cpp b/libnd4j/include/ops/declarable/generic/boolean/gt_scalar.cpp
index d40c501d4..9dcdb9b29 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/gt_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/gt_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/gte_scalar.cpp b/libnd4j/include/ops/declarable/generic/boolean/gte_scalar.cpp
index d555f5d24..adbb4ef82 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/gte_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/gte_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/is_non_decreasing.cpp b/libnd4j/include/ops/declarable/generic/boolean/is_non_decreasing.cpp
index 4dd8ca605..380091341 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/is_non_decreasing.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/is_non_decreasing.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/is_numeric_tensor.cpp b/libnd4j/include/ops/declarable/generic/boolean/is_numeric_tensor.cpp
index 184b7b0a6..72b91c871 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/is_numeric_tensor.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/is_numeric_tensor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/is_strictly_increasing.cpp b/libnd4j/include/ops/declarable/generic/boolean/is_strictly_increasing.cpp
index 0c434cf57..b8adbfd8f 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/is_strictly_increasing.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/is_strictly_increasing.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/lt_scalar.cpp b/libnd4j/include/ops/declarable/generic/boolean/lt_scalar.cpp
index 1c4f7ab27..9fde7e88c 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/lt_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/lt_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/lte_scalar.cpp b/libnd4j/include/ops/declarable/generic/boolean/lte_scalar.cpp
index 07a72cfed..be643eea9 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/lte_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/lte_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/neq_scalar.cpp b/libnd4j/include/ops/declarable/generic/boolean/neq_scalar.cpp
index 1c05b9fc1..e64fb7d7e 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/neq_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/neq_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/select.cpp b/libnd4j/include/ops/declarable/generic/boolean/select.cpp
index e8e257258..0c47c25b2 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/select.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/select.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/where.cpp b/libnd4j/include/ops/declarable/generic/boolean/where.cpp
index a72de2ee0..ef06ec68e 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/where.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/where.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/boolean/where_np.cpp b/libnd4j/include/ops/declarable/generic/boolean/where_np.cpp
index 23284b2f9..713d068f7 100644
--- a/libnd4j/include/ops/declarable/generic/boolean/where_np.cpp
+++ b/libnd4j/include/ops/declarable/generic/boolean/where_np.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/add.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/add.cpp
index 936addea5..2465e082b 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/add.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/add.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/assign.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/assign.cpp
index aeaa5d128..86b1273bb 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/assign.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/assign.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/atan2.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/atan2.cpp
index ed60f5925..699d7e525 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/atan2.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/atan2.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/boolean_and.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/boolean_and.cpp
index 32593ecf6..4fe0c0f9f 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/boolean_and.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/boolean_and.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/boolean_or.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/boolean_or.cpp
index 1dbb69f30..3fdad46af 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/boolean_or.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/boolean_or.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/boolean_xor.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/boolean_xor.cpp
index 8f242fbda..b1f9bdb11 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/boolean_xor.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/boolean_xor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/divide.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/divide.cpp
index cd907de36..12e88caf5 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/divide.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/divide.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/divide_no_nan.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/divide_no_nan.cpp
index 9ef300e1c..049b403ab 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/divide_no_nan.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/divide_no_nan.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/equals.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/equals.cpp
index 5d4aaef5e..ffd61fd3d 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/equals.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/equals.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/floordiv.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/floordiv.cpp
index d0a59bcc1..5f6d0a012 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/floordiv.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/floordiv.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/floormod.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/floormod.cpp
index fac209905..c52766479 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/floormod.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/floormod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/greater.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/greater.cpp
index 084453dc8..170e88a01 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/greater.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/greater.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/greater_equal.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/greater_equal.cpp
index 5f448585e..62657eed7 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/greater_equal.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/greater_equal.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/igamma.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/igamma.cpp
index 9fa07424c..1601ed261 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/igamma.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/igamma.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/igammac.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/igammac.cpp
index deeacd4ef..477423426 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/igammac.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/igammac.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/less.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/less.cpp
index 5d9c73f1b..f2fb07311 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/less.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/less.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/less_equal.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/less_equal.cpp
index a0f0a0366..0f5e165b2 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/less_equal.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/less_equal.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/maximum.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/maximum.cpp
index dfb6b3d66..b6393e5ae 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/maximum.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/maximum.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/meshgrid.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/meshgrid.cpp
index b07f50202..689d09737 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/meshgrid.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/meshgrid.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/minimum.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/minimum.cpp
index ef8645d1d..229cce0db 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/minimum.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/minimum.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/mod.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/mod.cpp
index 95c710d17..11f09f76b 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/mod.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/mod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/multiply.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/multiply.cpp
index b7635c664..76094a6cc 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/multiply.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/multiply.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/not_equals.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/not_equals.cpp
index 9e2609f9d..a7724051e 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/not_equals.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/not_equals.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/percentile.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/percentile.cpp
index f5fbd4b18..1807c9f1f 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/percentile.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/percentile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/pow.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/pow.cpp
index 8ceb61e18..7c439a8ea 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/pow.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/pow.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/realdiv.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/realdiv.cpp
index 3691ffb55..38d8a082b 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/realdiv.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/realdiv.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/reverse_divide.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/reverse_divide.cpp
index 0b6ea7d2a..cd96daec1 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/reverse_divide.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/reverse_divide.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/reverse_mod.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/reverse_mod.cpp
index bb25fada6..40c03c9ee 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/reverse_mod.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/reverse_mod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/reverse_subtract.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/reverse_subtract.cpp
index 5d33c7cea..4e04df5d2 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/reverse_subtract.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/reverse_subtract.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/squared_subtract.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/squared_subtract.cpp
index 6f5482512..0cbcc2626 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/squared_subtract.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/squared_subtract.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/subtract.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/subtract.cpp
index fac1c5dfa..b8844a358 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/subtract.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/subtract.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/template.tpl b/libnd4j/include/ops/declarable/generic/broadcastable/template.tpl
index cc311b9f4..c3aa648a0 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/template.tpl
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/template.tpl
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/broadcastable/truncatediv.cpp b/libnd4j/include/ops/declarable/generic/broadcastable/truncatediv.cpp
index 60900a5d9..c2c006a11 100644
--- a/libnd4j/include/ops/declarable/generic/broadcastable/truncatediv.cpp
+++ b/libnd4j/include/ops/declarable/generic/broadcastable/truncatediv.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/compat/compat_sparse_to_dense.cpp b/libnd4j/include/ops/declarable/generic/compat/compat_sparse_to_dense.cpp
index a2dcd6b14..f4c2c964e 100644
--- a/libnd4j/include/ops/declarable/generic/compat/compat_sparse_to_dense.cpp
+++ b/libnd4j/include/ops/declarable/generic/compat/compat_sparse_to_dense.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/compat/compat_string_split.cpp b/libnd4j/include/ops/declarable/generic/compat/compat_string_split.cpp
index 009652178..abcc7ab50 100644
--- a/libnd4j/include/ops/declarable/generic/compat/compat_string_split.cpp
+++ b/libnd4j/include/ops/declarable/generic/compat/compat_string_split.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/compression/bitmap.cpp b/libnd4j/include/ops/declarable/generic/compression/bitmap.cpp
index 7e89ce2c0..c9b44dcf0 100644
--- a/libnd4j/include/ops/declarable/generic/compression/bitmap.cpp
+++ b/libnd4j/include/ops/declarable/generic/compression/bitmap.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/compression/threshold.cpp b/libnd4j/include/ops/declarable/generic/compression/threshold.cpp
index 83836bb8f..d76368dd9 100644
--- a/libnd4j/include/ops/declarable/generic/compression/threshold.cpp
+++ b/libnd4j/include/ops/declarable/generic/compression/threshold.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/bitcast.cpp b/libnd4j/include/ops/declarable/generic/datatypes/bitcast.cpp
index 294406cb8..2c6d247d0 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/bitcast.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/bitcast.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/cast.cpp b/libnd4j/include/ops/declarable/generic/datatypes/cast.cpp
index ff071f7a9..c18f9a1c3 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/cast.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/cast.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_double.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_double.cpp
index 4eae77a5a..bfc2d1e5e 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_double.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_double.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_float16.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_float16.cpp
index aa8ceb045..189a1005f 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_float16.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_float16.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_float32.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_float32.cpp
index 23a924f9c..2c55be35d 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_float32.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_float32.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_int32.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_int32.cpp
index c28fa6049..9c9f0a130 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_int32.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_int32.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_int64.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_int64.cpp
index cb994ccfe..3274bc1d1 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_int64.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_int64.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_uint32.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_uint32.cpp
index f62d9cd9b..1d24171db 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_uint32.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_uint32.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/datatypes/to_uint64.cpp b/libnd4j/include/ops/declarable/generic/datatypes/to_uint64.cpp
index dc337ea1b..b602ff04d 100644
--- a/libnd4j/include/ops/declarable/generic/datatypes/to_uint64.cpp
+++ b/libnd4j/include/ops/declarable/generic/datatypes/to_uint64.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/flow/flow_control_ops.cpp b/libnd4j/include/ops/declarable/generic/flow/flow_control_ops.cpp
index 108660c7b..ab183e9bc 100644
--- a/libnd4j/include/ops/declarable/generic/flow/flow_control_ops.cpp
+++ b/libnd4j/include/ops/declarable/generic/flow/flow_control_ops.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/grad/broadcast_gradient_args.cpp b/libnd4j/include/ops/declarable/generic/grad/broadcast_gradient_args.cpp
index e4dbcd6d5..66b6a4f1e 100644
--- a/libnd4j/include/ops/declarable/generic/grad/broadcast_gradient_args.cpp
+++ b/libnd4j/include/ops/declarable/generic/grad/broadcast_gradient_args.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/helpers/BroadcastHelper.h b/libnd4j/include/ops/declarable/generic/helpers/BroadcastHelper.h
index af7f2d8d7..0566d91ee 100644
--- a/libnd4j/include/ops/declarable/generic/helpers/BroadcastHelper.h
+++ b/libnd4j/include/ops/declarable/generic/helpers/BroadcastHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/helpers/ScatterHelper.h b/libnd4j/include/ops/declarable/generic/helpers/ScatterHelper.h
index 4d464a745..591953fde 100644
--- a/libnd4j/include/ops/declarable/generic/helpers/ScatterHelper.h
+++ b/libnd4j/include/ops/declarable/generic/helpers/ScatterHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/adjust_contrast.cpp b/libnd4j/include/ops/declarable/generic/images/adjust_contrast.cpp
index 796dbb80b..2f4e3cbb9 100644
--- a/libnd4j/include/ops/declarable/generic/images/adjust_contrast.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/adjust_contrast.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/adjust_hue.cpp b/libnd4j/include/ops/declarable/generic/images/adjust_hue.cpp
index 436fae28d..b3b03fa86 100644
--- a/libnd4j/include/ops/declarable/generic/images/adjust_hue.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/adjust_hue.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/adjust_saturation.cpp b/libnd4j/include/ops/declarable/generic/images/adjust_saturation.cpp
index 5be1699f4..a2c298d7f 100644
--- a/libnd4j/include/ops/declarable/generic/images/adjust_saturation.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/adjust_saturation.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/crop_and_resize.cpp b/libnd4j/include/ops/declarable/generic/images/crop_and_resize.cpp
index 3c101070d..580a8a272 100644
--- a/libnd4j/include/ops/declarable/generic/images/crop_and_resize.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/crop_and_resize.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/draw_bounding_boxes.cpp b/libnd4j/include/ops/declarable/generic/images/draw_bounding_boxes.cpp
index d143bdcf8..7cd2406d9 100644
--- a/libnd4j/include/ops/declarable/generic/images/draw_bounding_boxes.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/draw_bounding_boxes.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/extract_image_patches.cpp b/libnd4j/include/ops/declarable/generic/images/extract_image_patches.cpp
index 1bcb8ef36..d7f1e12db 100644
--- a/libnd4j/include/ops/declarable/generic/images/extract_image_patches.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/extract_image_patches.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/hsvToRgb.cpp b/libnd4j/include/ops/declarable/generic/images/hsvToRgb.cpp
index d5211e498..0e8049185 100644
--- a/libnd4j/include/ops/declarable/generic/images/hsvToRgb.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/hsvToRgb.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/image_resize.cpp b/libnd4j/include/ops/declarable/generic/images/image_resize.cpp
index 8e6e29d3a..26ce6e9d3 100644
--- a/libnd4j/include/ops/declarable/generic/images/image_resize.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/image_resize.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/resize_area.cpp b/libnd4j/include/ops/declarable/generic/images/resize_area.cpp
index 4ae03cc25..5eca1d1da 100644
--- a/libnd4j/include/ops/declarable/generic/images/resize_area.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/resize_area.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/images/resize_bicubic.cpp b/libnd4j/include/ops/declarable/generic/images/resize_bicubic.cpp
index a867a2147..569c29616 100644
--- a/libnd4j/include/ops/declarable/generic/images/resize_bicubic.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/resize_bicubic.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/images/resize_images.cpp b/libnd4j/include/ops/declarable/generic/images/resize_images.cpp
index a26e47746..466ad6609 100644
--- a/libnd4j/include/ops/declarable/generic/images/resize_images.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/resize_images.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/resize_linear.cpp b/libnd4j/include/ops/declarable/generic/images/resize_linear.cpp
index 6d72bf889..624550f5c 100644
--- a/libnd4j/include/ops/declarable/generic/images/resize_linear.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/resize_linear.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/images/resize_neighbor.cpp b/libnd4j/include/ops/declarable/generic/images/resize_neighbor.cpp
index 3454fb897..3b0c928b3 100644
--- a/libnd4j/include/ops/declarable/generic/images/resize_neighbor.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/resize_neighbor.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/images/rgbToGrs.cpp b/libnd4j/include/ops/declarable/generic/images/rgbToGrs.cpp
index a6d80365c..1d53b7be1 100644
--- a/libnd4j/include/ops/declarable/generic/images/rgbToGrs.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/rgbToGrs.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/rgbToHsv.cpp b/libnd4j/include/ops/declarable/generic/images/rgbToHsv.cpp
index ac5a27c66..5e88996e9 100644
--- a/libnd4j/include/ops/declarable/generic/images/rgbToHsv.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/rgbToHsv.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/rgbToYiq.cpp b/libnd4j/include/ops/declarable/generic/images/rgbToYiq.cpp
index 40c936e4f..348af68d5 100644
--- a/libnd4j/include/ops/declarable/generic/images/rgbToYiq.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/rgbToYiq.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/rgbToYuv.cpp b/libnd4j/include/ops/declarable/generic/images/rgbToYuv.cpp
index b52b5a8a6..ed9a2a4b3 100644
--- a/libnd4j/include/ops/declarable/generic/images/rgbToYuv.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/rgbToYuv.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/yiqToRgb.cpp b/libnd4j/include/ops/declarable/generic/images/yiqToRgb.cpp
index e339fb74b..9185eff1a 100644
--- a/libnd4j/include/ops/declarable/generic/images/yiqToRgb.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/yiqToRgb.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/images/yuvToRgb.cpp b/libnd4j/include/ops/declarable/generic/images/yuvToRgb.cpp
index 48d4e379a..f18d0a3ef 100644
--- a/libnd4j/include/ops/declarable/generic/images/yuvToRgb.cpp
+++ b/libnd4j/include/ops/declarable/generic/images/yuvToRgb.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/kernels/knn_mindistance.cpp b/libnd4j/include/ops/declarable/generic/kernels/knn_mindistance.cpp
index 334014ee7..542de355a 100644
--- a/libnd4j/include/ops/declarable/generic/kernels/knn_mindistance.cpp
+++ b/libnd4j/include/ops/declarable/generic/kernels/knn_mindistance.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/betaInc.cpp b/libnd4j/include/ops/declarable/generic/linalg/betaInc.cpp
index 1850f10a1..51a2f4a7b 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/betaInc.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/betaInc.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/cholesky.cpp b/libnd4j/include/ops/declarable/generic/linalg/cholesky.cpp
index dfc3830ca..d82893e19 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/cholesky.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/cholesky.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/cross.cpp b/libnd4j/include/ops/declarable/generic/linalg/cross.cpp
index 0d701cf71..ab36d4e8f 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/cross.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/cross.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/diag.cpp b/libnd4j/include/ops/declarable/generic/linalg/diag.cpp
index d67ca057b..013dd20f2 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/diag.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/diag.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/diagPart.cpp b/libnd4j/include/ops/declarable/generic/linalg/diagPart.cpp
index 6562a02a8..7c87d8eb1 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/diagPart.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/diagPart.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/digamma.cpp b/libnd4j/include/ops/declarable/generic/linalg/digamma.cpp
index 17afcc10b..3074f54cc 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/digamma.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/digamma.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/generic/linalg/eye.cpp b/libnd4j/include/ops/declarable/generic/linalg/eye.cpp
index 4bf339614..27227f1a4 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/eye.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/eye.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/lgamma.cpp b/libnd4j/include/ops/declarable/generic/linalg/lgamma.cpp
index c39f8b55d..e1538702a 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/lgamma.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/lgamma.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author George A. Shulinok 
diff --git a/libnd4j/include/ops/declarable/generic/linalg/log1p.cpp b/libnd4j/include/ops/declarable/generic/linalg/log1p.cpp
index 797ca8b2a..10bbe5acd 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/log1p.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/log1p.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/lstsq.cpp b/libnd4j/include/ops/declarable/generic/linalg/lstsq.cpp
index 5078ff6f1..f01120fad 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/lstsq.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/lstsq.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by GS  at 01/28/2020
diff --git a/libnd4j/include/ops/declarable/generic/linalg/lup.cpp b/libnd4j/include/ops/declarable/generic/linalg/lup.cpp
index e0b1eb8d7..9cdafeea1 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/lup.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/lup.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/matrixDiagPart.cpp b/libnd4j/include/ops/declarable/generic/linalg/matrixDiagPart.cpp
index db73fac75..7f81c0966 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/matrixDiagPart.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/matrixDiagPart.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/matrixSetDiag.cpp b/libnd4j/include/ops/declarable/generic/linalg/matrixSetDiag.cpp
index 222074c81..4b0af20f9 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/matrixSetDiag.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/matrixSetDiag.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/matrix_band_part.cpp b/libnd4j/include/ops/declarable/generic/linalg/matrix_band_part.cpp
index 51beff4c8..2bf38f180 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/matrix_band_part.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/matrix_band_part.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/matrix_determinant.cpp b/libnd4j/include/ops/declarable/generic/linalg/matrix_determinant.cpp
index 7046b69f9..0c767a511 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/matrix_determinant.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/matrix_determinant.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -77,7 +79,7 @@ namespace sd {
             auto output = OUTPUT_VARIABLE(0);
 
             REQUIRE_TRUE(input->rankOf() >=2, 0, "log_matrix_determinant: The rank of input array should not less than 2, but %i is given", input->rankOf());
-            REQUIRE_TRUE(input->sizeAt(-1) == input->sizeAt(-2), 0, "log_matrix_determinant: The last two dimmensions should be equal, but %i and %i are given", input->sizeAt(-1), input->sizeAt(-2));
+            REQUIRE_TRUE(input->sizeAt(-1) == input->sizeAt(-2), 0, "log_matrix_determinant: The last two dimensions should be equal, but %i and %i are given", input->sizeAt(-1), input->sizeAt(-2));
 
             return helpers::logAbsDeterminant(block.launchContext(), input, output);
         }
diff --git a/libnd4j/include/ops/declarable/generic/linalg/matrix_diag.cpp b/libnd4j/include/ops/declarable/generic/linalg/matrix_diag.cpp
index 6e95d127d..0b7ae86f8 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/matrix_diag.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/matrix_diag.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/matrix_inverse.cpp b/libnd4j/include/ops/declarable/generic/linalg/matrix_inverse.cpp
index 6a595a92b..8bd6ec6f0 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/matrix_inverse.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/matrix_inverse.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/moments.cpp b/libnd4j/include/ops/declarable/generic/linalg/moments.cpp
index c8fdf2e48..884801de6 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/moments.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/moments.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/polygamma.cpp b/libnd4j/include/ops/declarable/generic/linalg/polygamma.cpp
index 35ffdcbc6..eb12d27f4 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/polygamma.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/polygamma.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/qr.cpp b/libnd4j/include/ops/declarable/generic/linalg/qr.cpp
index 1cdfc6884..d3bd489ea 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/qr.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/qr.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by GS  at 12/20/2019
diff --git a/libnd4j/include/ops/declarable/generic/linalg/solve.cpp b/libnd4j/include/ops/declarable/generic/linalg/solve.cpp
index 154001684..ed5b8135d 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/solve.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/solve.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by GS  at 01/22/2020
diff --git a/libnd4j/include/ops/declarable/generic/linalg/sqrtm.cpp b/libnd4j/include/ops/declarable/generic/linalg/sqrtm.cpp
index 37472008d..07acd0a9e 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/sqrtm.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/sqrtm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/sufficient_statistics.cpp b/libnd4j/include/ops/declarable/generic/linalg/sufficient_statistics.cpp
index 915ba5fb9..81b330a07 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/sufficient_statistics.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/sufficient_statistics.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/svd.cpp b/libnd4j/include/ops/declarable/generic/linalg/svd.cpp
index 3331dcdd8..31587b6d1 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/svd.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/svd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/trace.cpp b/libnd4j/include/ops/declarable/generic/linalg/trace.cpp
index 1a67ec754..665ee6c85 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/trace.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/trace.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/tri.cpp b/libnd4j/include/ops/declarable/generic/linalg/tri.cpp
index d0c1f7a6f..f576c3586 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/tri.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/tri.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/triangular_solve.cpp b/libnd4j/include/ops/declarable/generic/linalg/triangular_solve.cpp
index 49ec1e135..8163a337b 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/triangular_solve.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/triangular_solve.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by GS  at 01/14/2020
diff --git a/libnd4j/include/ops/declarable/generic/linalg/triu.cpp b/libnd4j/include/ops/declarable/generic/linalg/triu.cpp
index 839828f62..8bee93425 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/triu.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/triu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/linalg/zeta.cpp b/libnd4j/include/ops/declarable/generic/linalg/zeta.cpp
index 6aba1fc5f..e46f793a7 100644
--- a/libnd4j/include/ops/declarable/generic/linalg/zeta.cpp
+++ b/libnd4j/include/ops/declarable/generic/linalg/zeta.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/clone_list.cpp b/libnd4j/include/ops/declarable/generic/list/clone_list.cpp
index d100153ec..a85fbbd66 100644
--- a/libnd4j/include/ops/declarable/generic/list/clone_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/clone_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/create_list.cpp b/libnd4j/include/ops/declarable/generic/list/create_list.cpp
index 606558e7e..3af67674f 100644
--- a/libnd4j/include/ops/declarable/generic/list/create_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/create_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/gather_list.cpp b/libnd4j/include/ops/declarable/generic/list/gather_list.cpp
index 943313ad0..2f8507c86 100644
--- a/libnd4j/include/ops/declarable/generic/list/gather_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/gather_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/pick_list.cpp b/libnd4j/include/ops/declarable/generic/list/pick_list.cpp
index 1254456bd..4ca50ab28 100644
--- a/libnd4j/include/ops/declarable/generic/list/pick_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/pick_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/read_list.cpp b/libnd4j/include/ops/declarable/generic/list/read_list.cpp
index a1320b9b3..7d16faac2 100644
--- a/libnd4j/include/ops/declarable/generic/list/read_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/read_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/scatter_list.cpp b/libnd4j/include/ops/declarable/generic/list/scatter_list.cpp
index 38a4da7bd..f40bf67d7 100644
--- a/libnd4j/include/ops/declarable/generic/list/scatter_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/scatter_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/size_list.cpp b/libnd4j/include/ops/declarable/generic/list/size_list.cpp
index 9c4d7ff70..5df6bce1a 100644
--- a/libnd4j/include/ops/declarable/generic/list/size_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/size_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/split_list.cpp b/libnd4j/include/ops/declarable/generic/list/split_list.cpp
index c49047961..3604e6436 100644
--- a/libnd4j/include/ops/declarable/generic/list/split_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/split_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/stack_list.cpp b/libnd4j/include/ops/declarable/generic/list/stack_list.cpp
index a0f0f4220..2be4f2058 100644
--- a/libnd4j/include/ops/declarable/generic/list/stack_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/stack_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/unstack_list.cpp b/libnd4j/include/ops/declarable/generic/list/unstack_list.cpp
index 5f4522949..d77d3b923 100644
--- a/libnd4j/include/ops/declarable/generic/list/unstack_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/unstack_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/list/write_list.cpp b/libnd4j/include/ops/declarable/generic/list/write_list.cpp
index c61bcb68b..11b4f85ad 100644
--- a/libnd4j/include/ops/declarable/generic/list/write_list.cpp
+++ b/libnd4j/include/ops/declarable/generic/list/write_list.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/absoluteDifference.cpp b/libnd4j/include/ops/declarable/generic/loss/absoluteDifference.cpp
index a542ae8e4..e881ddec5 100644
--- a/libnd4j/include/ops/declarable/generic/loss/absoluteDifference.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/absoluteDifference.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/cosineDistance.cpp b/libnd4j/include/ops/declarable/generic/loss/cosineDistance.cpp
index 9317aed32..5b16a8992 100644
--- a/libnd4j/include/ops/declarable/generic/loss/cosineDistance.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/cosineDistance.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/hingeLoss.cpp b/libnd4j/include/ops/declarable/generic/loss/hingeLoss.cpp
index 0766cf600..72fb72253 100644
--- a/libnd4j/include/ops/declarable/generic/loss/hingeLoss.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/hingeLoss.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/huberLoss.cpp b/libnd4j/include/ops/declarable/generic/loss/huberLoss.cpp
index 5f7c94c88..c49cefede 100644
--- a/libnd4j/include/ops/declarable/generic/loss/huberLoss.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/huberLoss.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/l2_loss.cpp b/libnd4j/include/ops/declarable/generic/loss/l2_loss.cpp
index 48f3a64fa..0122333f9 100644
--- a/libnd4j/include/ops/declarable/generic/loss/l2_loss.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/l2_loss.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/logLoss.cpp b/libnd4j/include/ops/declarable/generic/loss/logLoss.cpp
index 3d1332302..b60ad0992 100644
--- a/libnd4j/include/ops/declarable/generic/loss/logLoss.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/logLoss.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/log_poisson_loss.cpp b/libnd4j/include/ops/declarable/generic/loss/log_poisson_loss.cpp
index f1b7d5f41..5dab114b0 100644
--- a/libnd4j/include/ops/declarable/generic/loss/log_poisson_loss.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/log_poisson_loss.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/meanPairWsSqErr.cpp b/libnd4j/include/ops/declarable/generic/loss/meanPairWsSqErr.cpp
index e604a3da8..ba9e0fa22 100644
--- a/libnd4j/include/ops/declarable/generic/loss/meanPairWsSqErr.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/meanPairWsSqErr.cpp
@@ -1,21 +1,25 @@
 #pragma clang diagnostic push
 #pragma ide diagnostic ignored "cert-err58-cpp"
 
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com), created on 24.11.2017
diff --git a/libnd4j/include/ops/declarable/generic/loss/meanSqErr.cpp b/libnd4j/include/ops/declarable/generic/loss/meanSqErr.cpp
index 50fdb46e1..53bd92672 100644
--- a/libnd4j/include/ops/declarable/generic/loss/meanSqErr.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/meanSqErr.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/sigmCrossEntropy.cpp b/libnd4j/include/ops/declarable/generic/loss/sigmCrossEntropy.cpp
index 372a93388..9c4fe3a55 100644
--- a/libnd4j/include/ops/declarable/generic/loss/sigmCrossEntropy.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/sigmCrossEntropy.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropy.cpp b/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropy.cpp
index c0bb78015..94b702b1b 100644
--- a/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropy.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropy.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropyWithLogits.cpp b/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropyWithLogits.cpp
index 0636450c7..803c629d5 100644
--- a/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropyWithLogits.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/softmaxCrossEntropyWithLogits.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/loss/sparseSoftmaxCrossEntropyWithLogits.cpp b/libnd4j/include/ops/declarable/generic/loss/sparseSoftmaxCrossEntropyWithLogits.cpp
index c641bf12f..946406d05 100644
--- a/libnd4j/include/ops/declarable/generic/loss/sparseSoftmaxCrossEntropyWithLogits.cpp
+++ b/libnd4j/include/ops/declarable/generic/loss/sparseSoftmaxCrossEntropyWithLogits.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nlp/cbow.cpp b/libnd4j/include/ops/declarable/generic/nlp/cbow.cpp
index 9b5ed1918..a59f6cd18 100644
--- a/libnd4j/include/ops/declarable/generic/nlp/cbow.cpp
+++ b/libnd4j/include/ops/declarable/generic/nlp/cbow.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nlp/skipgram.cpp b/libnd4j/include/ops/declarable/generic/nlp/skipgram.cpp
index 921662fa6..d6031c7b8 100644
--- a/libnd4j/include/ops/declarable/generic/nlp/skipgram.cpp
+++ b/libnd4j/include/ops/declarable/generic/nlp/skipgram.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/crelu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/crelu.cpp
index df107451a..de05ea836 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/crelu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/crelu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/cube.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/cube.cpp
index d71906d29..36c9d9769 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/cube.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/cube.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/elu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/elu.cpp
index f89f0d2c7..27a8ac597 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/elu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/elu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/hardsigmoid.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/hardsigmoid.cpp
index ba498fea9..fdddb4d4b 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/hardsigmoid.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/hardsigmoid.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/hardtanh.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/hardtanh.cpp
index 0a245e6a0..680814747 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/hardtanh.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/hardtanh.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/identity.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/identity.cpp
index 38e4a3ae8..4c1cbcb5c 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/identity.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/identity.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/identity_n.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/identity_n.cpp
index 4b7088660..9b7bb2b15 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/identity_n.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/identity_n.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/lrelu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/lrelu.cpp
index 2f4c2dc04..1b69345fd 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/lrelu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/lrelu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/prelu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/prelu.cpp
index b7d260a4c..ae23262a2 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/prelu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/prelu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/rationaltanh.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/rationaltanh.cpp
index 3386d1578..d2ac34b0a 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/rationaltanh.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/rationaltanh.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/rectifiedtanh.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/rectifiedtanh.cpp
index 641ee0d0e..b672ad664 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/rectifiedtanh.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/rectifiedtanh.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/relu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/relu.cpp
index 3b42c2e5a..5ca6a05df 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/relu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/relu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/relu6.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/relu6.cpp
index 129c09480..fffc5cd10 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/relu6.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/relu6.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/selu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/selu.cpp
index 7fc6aa11a..f3f00ff10 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/selu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/selu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/sigmoid.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/sigmoid.cpp
index 047d973e6..2c8924386 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/sigmoid.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/sigmoid.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/softplus.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/softplus.cpp
index 5cd17e752..0719dc3c1 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/softplus.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/softplus.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/softsign.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/softsign.cpp
index c7fb15fdd..a4da3fd65 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/softsign.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/softsign.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/tanh.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/tanh.cpp
index a42552f75..b869f8567 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/tanh.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/tanh.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/activations/thresholdedrelu.cpp b/libnd4j/include/ops/declarable/generic/nn/activations/thresholdedrelu.cpp
index a0cba155a..cb91153f2 100644
--- a/libnd4j/include/ops/declarable/generic/nn/activations/thresholdedrelu.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/activations/thresholdedrelu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/apply_sgd.cpp b/libnd4j/include/ops/declarable/generic/nn/apply_sgd.cpp
index 389d07c7b..0930c7818 100644
--- a/libnd4j/include/ops/declarable/generic/nn/apply_sgd.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/apply_sgd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/batchnorm.cpp b/libnd4j/include/ops/declarable/generic/nn/batchnorm.cpp
index 7018ae342..7ea2d3487 100644
--- a/libnd4j/include/ops/declarable/generic/nn/batchnorm.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/batchnorm.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com, created on 29/10/17.
diff --git a/libnd4j/include/ops/declarable/generic/nn/bias_add.cpp b/libnd4j/include/ops/declarable/generic/nn/bias_add.cpp
index bc164e952..0c25369a6 100644
--- a/libnd4j/include/ops/declarable/generic/nn/bias_add.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/bias_add.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/col2im.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/col2im.cpp
index d6e95a582..939960637 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/col2im.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/col2im.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/conv1d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/conv1d.cpp
index 4df3d6400..22d55530c 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/conv1d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/conv1d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/conv2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/conv2d.cpp
index 4377c1487..bcc2a81a0 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/conv2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/conv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/conv3d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/conv3d.cpp
index 889a01b9a..573e824ab 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/conv3d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/conv3d.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 //
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d.cpp
index d62a98d52..299c17b49 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d_tf.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d_tf.cpp
index 9af389bf6..7507d60e7 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d_tf.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/deconv2d_tf.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/deconv3d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/deconv3d.cpp
index 7c68ee74c..b14a38332 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/deconv3d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/deconv3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/depthwiseConv2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/depthwiseConv2d.cpp
index 744512a13..00052eef2 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/depthwiseConv2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/depthwiseConv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/dilation2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/dilation2d.cpp
index b3a0e1667..1f68102a3 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/dilation2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/dilation2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/im2col.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/im2col.cpp
index 2e5818c56..9c721d800 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/im2col.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/im2col.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/ismax.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/ismax.cpp
index d786504ad..ab977ec8c 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/ismax.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/ismax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/pointwiseConv2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/pointwiseConv2d.cpp
index 0f7bdde10..2c084b1c7 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/pointwiseConv2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/pointwiseConv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/sconv2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/sconv2d.cpp
index d887d7c2a..a64b2ba4c 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/sconv2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/sconv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/upsampling2d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/upsampling2d.cpp
index 4800b3db9..4377669af 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/upsampling2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/upsampling2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/convo/upsampling3d.cpp b/libnd4j/include/ops/declarable/generic/nn/convo/upsampling3d.cpp
index 557468d14..93eb12f31 100644
--- a/libnd4j/include/ops/declarable/generic/nn/convo/upsampling3d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/convo/upsampling3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/dot_product_attention.cpp b/libnd4j/include/ops/declarable/generic/nn/dot_product_attention.cpp
index 49dc52a03..bee1c1efa 100644
--- a/libnd4j/include/ops/declarable/generic/nn/dot_product_attention.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/dot_product_attention.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Paul Dubs
diff --git a/libnd4j/include/ops/declarable/generic/nn/embedding_lookup.cpp b/libnd4j/include/ops/declarable/generic/nn/embedding_lookup.cpp
index 0f4a01e03..647d32ded 100644
--- a/libnd4j/include/ops/declarable/generic/nn/embedding_lookup.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/embedding_lookup.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -34,11 +36,11 @@ namespace ops {
 //////////////////////////////////////////////////////////////////////////
 CUSTOM_OP_IMPL(embedding_lookup, 2, 1, false, 0, 1) {
     auto input   = INPUT_VARIABLE(0); // lookup param
-    auto indeces = INPUT_VARIABLE(1); // indeces, as is
+    auto indices = INPUT_VARIABLE(1); // indices, as is
     auto output  = OUTPUT_VARIABLE(0); //
 
     if (block.width() > 2) { // multiple input
-        indeces = INPUT_VARIABLE(block.width() - 1);
+        indices = INPUT_VARIABLE(block.width() - 1);
         std::vector dims(input->rankOf());
         int i = output->rankOf() - input->rankOf();
         for (auto& v: dims){
@@ -49,24 +51,24 @@ CUSTOM_OP_IMPL(embedding_lookup, 2, 1, false, 0, 1) {
         REQUIRE_TRUE(block.width() > output->sizeAt(0), 0, "embedding_lookup: input list should be greater then %i, but %i given.",
                     output->sizeAt(0), block.width()
                 );
-        for (Nd4jLong e = 0; e < indeces->lengthOf(); ++e) {
-            Nd4jLong thisIndex = (*indeces).e(e);
+        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+            Nd4jLong thisIndex = (*indices).e(e);
             input   = INPUT_VARIABLE(thisIndex); // lookup param
 
             outputView.at(e)->assign(input);
         }
     }
     else {
-        int indexRank = indeces->rankOf();
+        int indexRank = indices->rankOf();
         REQUIRE_TRUE(indexRank > 0, 0, "embeded_lookup: input array of indexes can't be single scalar, the requirement is: rank > 0 !");
 
         int inputRank = input->rankOf();
-        int lastIndDim = indeces->lengthOf();
+        int lastIndDim = indices->lengthOf();
         int partition_mode = INT_ARG(0); // partition_mode == 0 - i.e. 'mod' , 1 - 'div'
 
         sd::ops::gather op;
 
-        auto result(op.evaluate({input, indeces}, {0}));
+        auto result(op.evaluate({input, indices}, {0}));
         REQUIRE_TRUE(result.status() == Status::OK(), 0, "embedding_lookup: cannot retrieve results from gather op.");
         REQUIRE_TRUE(result.at(0)->isSameShape(output), 0, "embedding_lookup: wrong shape of return from gather op.");
         output->assign(result.at(0));
@@ -83,14 +85,14 @@ DECLARE_TYPES(embedding_lookup) {
 DECLARE_SHAPE_FN(embedding_lookup) {
 
     auto inShapeInfo = inputShape->at(0);
-    auto indecesShapeInfo = inputShape->at(1);
+    auto indicesShapeInfo = inputShape->at(1);
     int inRank = shape::rank(inShapeInfo);
     if (inputShape->size() == 2u) {
         int outRank = inRank;
 
         std::vector shapeInfo(outRank);
 
-        shapeInfo[0] = indecesShapeInfo[1]; // vector - how many elements
+        shapeInfo[0] = indicesShapeInfo[1]; // vector - how many elements
         for (int e = 1; e < outRank; e++)
             shapeInfo[e] = shape::sizeAt(inShapeInfo, e);
 
@@ -101,8 +103,8 @@ DECLARE_SHAPE_FN(embedding_lookup) {
 
     int outRank = inRank + 1;
     std::vector shapeInfo(outRank);
-    auto indeces = INPUT_VARIABLE(block.width() - 1);
-    shapeInfo[0] = indeces->lengthOf(); // vector - how many elements
+    auto indices = INPUT_VARIABLE(block.width() - 1);
+    shapeInfo[0] = indices->lengthOf(); // vector - how many elements
     for (int e = 1; e < outRank; e++)
         shapeInfo[e] = shape::sizeAt(inShapeInfo, e);
 
diff --git a/libnd4j/include/ops/declarable/generic/nn/fusedBatchNorm.cpp b/libnd4j/include/ops/declarable/generic/nn/fusedBatchNorm.cpp
index 6e911e405..ccdf60f40 100644
--- a/libnd4j/include/ops/declarable/generic/nn/fusedBatchNorm.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/fusedBatchNorm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -24,132 +26,158 @@
 #include 
 
 namespace sd {
-namespace ops {
+    namespace ops {
+
+        DECLARE_TYPES(fused_batch_norm) {
+            getOpDescriptor()
+                    ->setAllowedInputTypes(sd::DataType::ANY)
+                    ->setAllowedOutputTypes({ALL_FLOATS});
+        }
+
+        CUSTOM_OP_IMPL(fused_batch_norm, 3, 3, false, 0, 2) {
+            auto x      = INPUT_VARIABLE(0);                 // [bS,iH,iW,iD] (NHWC) or [bS,iD,iH,iW] (NCHW)
+            auto scale  = INPUT_VARIABLE(1);                 // [iD]
+            auto offset = INPUT_VARIABLE(2);                 // [iD]
+
+            auto y = OUTPUT_VARIABLE(0);                     // [bS,iH,iW,iD] (NHWC) or [bS,iD,iH,iW] (NCHW)
+            auto batchMean = OUTPUT_VARIABLE(1);             // [iD]
+            auto batchVar  = OUTPUT_VARIABLE(2);             // [iD]
+
+            const bool dataFormat = (bool)INT_ARG(0);               // 0->NHWC, 1->NCHW
+            const bool isTraining = (bool)INT_ARG(1);
+            nd4j_debug("CUSTOM_OP fused_batch_norm: data format, is NCHW: %d, isTraining: %d\n",dataFormat,isTraining);
+
+            REQUIRE_TRUE(x->rankOf() == 4, 0, "CUSTOM_OP fused_batch_norm: the rank of input x array must be equal to 4, but got %i instead !", x->rankOf());
+
+            int bS = x->sizeAt(0);              // batch size
+            int iH, iW, iD;                     // input height, input width, input depth(number of channels)
+            if(dataFormat) {
+                iD = x->sizeAt(1);
+                iH = x->sizeAt(2);
+                iW = x->sizeAt(3);
+            }
+            else {
+                iD = x->sizeAt(3);
+                iH = x->sizeAt(1);
+                iW = x->sizeAt(2);
+            }
+
+            auto xCast = x->cast(sd::DataType::FLOAT32);
+            //move to NWHC
+            /**
+             * TODO: TF has a permute to NWHC here:
+             * https://github.com/tensorflow/tensorflow/blob/ce34a83e03394492b1c4e5bb92fbd56da2ba7ce5/tensorflow/core/kernels/fused_batch_norm_op.cc#L137
+             *
+             * This should be done as well for us, but results are still off.
+             * Figure out differences.
+             */
+            if(dataFormat) {
+                xCast.printShapeInfo("x cast shape info pre permute");
+                xCast = xCast.permute({0, 2, 3, 1});
+                xCast.printShapeInfo("x cast shape info post permute");
+            }
+            REQUIRE_TRUE(scale->rankOf() == 1  && scale->sizeAt(0)  == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input scale array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(scale).c_str());
+            REQUIRE_TRUE(offset->rankOf() == 1 && offset->sizeAt(0) == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input offset array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(offset).c_str());
+
+            NDArray *mean(nullptr), *variance(nullptr);
+            if(!isTraining) {
+                mean     = INPUT_VARIABLE(3);
+                variance = INPUT_VARIABLE(4);
+                REQUIRE_TRUE(mean->rankOf() == 1     && mean->sizeAt(0) == iD,     0, "CUSTOM_OP fused_batch_norm: wrong shape of input mean array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(mean).c_str());
+                REQUIRE_TRUE(variance->rankOf() == 1 && variance->sizeAt(0) == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input variance array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(variance).c_str());
+            }
+            else {
+                //REQUIRE_TRUE(block.width() == 3, 0, "CUSTOM_OP fused_batch_norm: when isTraining=true then number of input arrays must be equal to 3, but got %i instead !", block.width());
+                std::vector shape = {iD};
+                mean = NDArrayFactory::create_(scale->ordering(), shape, sd::DataType::FLOAT32, block.launchContext());
+                variance = NDArrayFactory::create_(scale->ordering(), shape, sd::DataType::FLOAT32, block.launchContext());
+            }
+
+
+            float epsilon;
+            if(block.getTArguments()->size() > 0) {
+                epsilon = (float) (T_ARG(0) > 1.001e-5 ? T_ARG(0) : 1.001e-5);
+            }
+            else {
+                epsilon = 0.001f;
+            }
+
+            const int restSize = x->lengthOf() / iD;
+
+            auto xAffected = NDArrayFactory::create(x->ordering(), {restSize, iD}, sd::DataType::FLOAT32, block.launchContext());
+            xAffected.assign(xCast);
+
+            const int restSizeMinusOne = (restSize > 1) ? (restSize - 1) : 1;
+            const float restSizeInv = 1.0f / restSize;
+            const float restSizeAdjust = (float)restSize / restSizeMinusOne;
+
+            if(isTraining) {
+                auto sum = xAffected.reduceAlongDimension(reduce::Sum, {0});
+                sum *=  restSizeInv;
+                mean->assign(sum);
+                *batchMean = *mean;
+            }
+            else
+                *batchMean = 0.;
+
+            auto xCentered = xAffected - *mean;
+            xAffected -= *mean;
+
+            if(isTraining) {
+                int power = 2;
+                xAffected.applyScalar(scalar::Pow, power, xAffected);
+                auto sum = xAffected.reduceAlongDimension(reduce::Sum, {0});
+                sum *=  restSizeInv;
+                variance->assign(sum);
+                auto varOutput   = (*variance) * restSizeAdjust;
+                batchVar->assign(varOutput);
+            }
+            else
+                *batchVar  = 0.;
+
+            auto scaledVariance =  ((*variance + epsilon).transform(transform::RSqrt) * (*scale)).cast(xAffected.dataType());
+            auto xScaled1 = xCentered * scaledVariance;
+            auto xShifted1 = xScaled1 + *offset;
+            if(dataFormat) {
+                //need to reshape from matrix to 4d then permute the ordering due to NWHC  ordering
+                auto reshaped = xShifted1.reshape(xCast.ordering(),xCast.getShapeAsVector());
+                reshaped.permutei({0,3,1,2});
+                y->assign(reshaped);
+
+            }
+            else //NWHC case
+                y->assign(xShifted1);
+
+
+            if(isTraining) {
+                delete mean;
+                delete variance;
+            }
+
+            return Status::OK();
+        }
+
+
+
+        DECLARE_SHAPE_FN(fused_batch_norm) {
+            auto xShapeInfo     = inputShape->at(0);
+            auto scaleShapeInfo = inputShape->at(1);
+
+            const bool dataFormat = (bool)INT_ARG(0);               // 0->NHWC, 1->NCHW
+            const int iD = dataFormat ? xShapeInfo[2] : xShapeInfo[4];
+
+            REQUIRE_TRUE(scaleShapeInfo[0] == 1  && scaleShapeInfo[1] == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input scale array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(scaleShapeInfo).c_str());
+
+            Nd4jLong* outShapeInfo(nullptr), *batchMeanShapeInfo(nullptr), *batchVarShapeInfo(nullptr);
+
+            COPY_SHAPE(xShapeInfo, outShapeInfo);
+            COPY_SHAPE(scaleShapeInfo, batchMeanShapeInfo);
+            COPY_SHAPE(scaleShapeInfo, batchVarShapeInfo);
+
+            return SHAPELIST(CONSTANT(outShapeInfo), CONSTANT(batchMeanShapeInfo), CONSTANT(batchVarShapeInfo));
+        }
 
-    DECLARE_TYPES(fused_batch_norm) {
-        getOpDescriptor()
-                ->setAllowedInputTypes(sd::DataType::ANY)
-                ->setAllowedOutputTypes({ALL_FLOATS});
     }
-
-CUSTOM_OP_IMPL(fused_batch_norm, 3, 3, false, 0, 2) {
-    auto x      = INPUT_VARIABLE(0);                 // [bS,iH,iW,iD] (NHWC) or [bS,iD,iH,iW] (NCHW)
-    auto scale  = INPUT_VARIABLE(1);                 // [iD]
-    auto offset = INPUT_VARIABLE(2);                 // [iD]
-
-    auto y = OUTPUT_VARIABLE(0);                     // [bS,iH,iW,iD] (NHWC) or [bS,iD,iH,iW] (NCHW)
-    auto batchMean = OUTPUT_VARIABLE(1);             // [iD]
-    auto batchVar  = OUTPUT_VARIABLE(2);             // [iD]
-
-    const bool dataFormat = (bool)INT_ARG(0);               // 0->NHWC, 1->NCHW
-    const bool isTraining = (bool)INT_ARG(1);
-
-    REQUIRE_TRUE(x->rankOf() == 4, 0, "CUSTOM_OP fused_batch_norm: the rank of input x array must be equal to 4, but got %i instead !", x->rankOf());
-
-    int bS = x->sizeAt(0);              // batch size
-    int iH, iW, iD;                     // input height, input width, input depth(number of channels)
-    if(dataFormat) {
-        iD = x->sizeAt(1);
-        iH = x->sizeAt(2);
-        iW = x->sizeAt(3);
-    }
-    else {
-        iD = x->sizeAt(3);
-        iH = x->sizeAt(1);
-        iW = x->sizeAt(2);
-    }
-
-    REQUIRE_TRUE(scale->rankOf() == 1  && scale->sizeAt(0)  == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input scale array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(scale).c_str());
-    REQUIRE_TRUE(offset->rankOf() == 1 && offset->sizeAt(0) == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input offset array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(offset).c_str());
-
-    NDArray *mean(nullptr), *variance(nullptr);
-    if(!isTraining){
-        mean     = INPUT_VARIABLE(3);
-        variance = INPUT_VARIABLE(4);
-        REQUIRE_TRUE(mean->rankOf() == 1     && mean->sizeAt(0) == iD,     0, "CUSTOM_OP fused_batch_norm: wrong shape of input mean array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(mean).c_str());
-        REQUIRE_TRUE(variance->rankOf() == 1 && variance->sizeAt(0) == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input variance array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(variance).c_str());
-    }
-    else {
-        //REQUIRE_TRUE(block.width() == 3, 0, "CUSTOM_OP fused_batch_norm: when isTraining=true then number of input arrays must be equal to 3, but got %i instead !", block.width());
-        std::vector shape = {iD};
-        mean = NDArrayFactory::create_(scale->ordering(), shape, scale->dataType(), block.launchContext());
-        variance = NDArrayFactory::create_(scale->ordering(), shape, scale->dataType(), block.launchContext());
-    }
-
-    // FIXME: double?
-    double epsilon;
-    if(block.getTArguments()->size() > 0)
-        epsilon = T_ARG(0) > 1.001e-5 ? T_ARG(0) : 1.001e-5;
-    else
-        epsilon = 0.001;
-
-    const int restSize = x->lengthOf() / iD;
-    auto xAffected = NDArrayFactory::create(x->ordering(), {restSize, iD}, mean->dataType(), block.launchContext());
-    xAffected.assign(x);
-
-    const int restSizeMinusOne = (restSize > 1) ? (restSize - 1) : 1;
-    // FIXME: float?
-    const double restSizeInv = 1.0 / restSize;
-    const double restSizeAdjust = (double)restSize / restSizeMinusOne;
-
-    if(isTraining) {
-        auto sum = xAffected.reduceAlongDimension(reduce::Sum, {0});
-        sum *= restSizeInv;
-        mean->assign(sum);
-        *batchMean = *mean;
-        //delete sum;
-    }
-    else
-        *batchMean = 0.;
-
-    xAffected -= *mean;
-
-    if(isTraining) {
-        int power = 2;
-        xAffected.applyScalar(scalar::Pow, power, xAffected);
-        auto sum = xAffected.reduceAlongDimension(reduce::Sum, {0});
-        sum *= restSizeInv;
-        variance->assign(sum);
-        *batchVar  = (*variance) * restSizeAdjust;
-        //delete sum;
-    }
-    else
-        *batchVar  = 0.;
-    xAffected *= (*variance + epsilon).transform(transform::RSqrt) * (*scale) + (*offset);
-    y->assign( xAffected );
-
-    if(isTraining) {
-        delete mean;
-        delete variance;
-    }
-
-    return Status::OK();
-}
-
-
-
-DECLARE_SHAPE_FN(fused_batch_norm) {
-    auto xShapeInfo     = inputShape->at(0);
-    auto scaleShapeInfo = inputShape->at(1);
-
-    const bool dataFormat = (bool)INT_ARG(0);               // 0->NHWC, 1->NCHW
-    const int iD = dataFormat ? xShapeInfo[2] : xShapeInfo[4];
-
-    REQUIRE_TRUE(scaleShapeInfo[0] == 1  && scaleShapeInfo[1] == iD, 0, "CUSTOM_OP fused_batch_norm: wrong shape of input scale array, expected is [%i], but got %s instead", iD, ShapeUtils::shapeAsString(scaleShapeInfo).c_str());
-
-    Nd4jLong* outShapeInfo(nullptr), *batchMeanShapeInfo(nullptr), *batchVarShapeInfo(nullptr);
-
-    COPY_SHAPE(xShapeInfo, outShapeInfo);
-    COPY_SHAPE(scaleShapeInfo, batchMeanShapeInfo);
-    COPY_SHAPE(scaleShapeInfo, batchVarShapeInfo);
-
-    return SHAPELIST(CONSTANT(outShapeInfo), CONSTANT(batchMeanShapeInfo), CONSTANT(batchVarShapeInfo));
-}
-
-
-
-
-}
 }
 
 #endif
\ No newline at end of file
diff --git a/libnd4j/include/ops/declarable/generic/nn/layer_norm.cpp b/libnd4j/include/ops/declarable/generic/nn/layer_norm.cpp
index 5643932cb..500aecac5 100644
--- a/libnd4j/include/ops/declarable/generic/nn/layer_norm.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/layer_norm.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Paul Dubs
@@ -35,7 +39,7 @@ namespace ops  {
 
         std::vector axis = *block.getIArguments();
 
-        const bool isNCHW = block.getBArguments()->size() > 0 ? B_ARG(0) : true;       // INT_ARG(9): 0-NCHW,  1-NHWC
+        const bool isNCHW = block.getBArguments()->size() > 0 ? B_ARG(0) : true;       // 0-NCHW,  1-NHWC
         const int dimC = isNCHW ? 1 : input->rankOf() - 1;
 
         REQUIRE_TRUE(gain->rankOf() == 1 && gain->sizeAt(0) == input->sizeAt(dimC), 0, "LAYER_NORM OP: wrong shape of gain array, expected is {%i}, but got %s instead !", input->sizeAt(dimC), ShapeUtils::shapeAsString(gain).c_str());
@@ -82,7 +86,7 @@ namespace ops  {
         auto dLdg = OUTPUT_VARIABLE(1);
         auto dLdb = block.width() == 4 ? OUTPUT_VARIABLE(2) : nullptr;
 
-        const bool isNCHW = block.getBArguments()->size() > 0 ? B_ARG(0) : true;       // INT_ARG(9): 0-NCHW,  1-NHWC
+        const bool isNCHW = block.getBArguments()->size() > 0 ? B_ARG(0) : true;       //  0-NCHW,  1-NHWC
         const int dimC = isNCHW ? 1 : input->rankOf() - 1;
 
         REQUIRE_TRUE(gain->rankOf() == 1 && gain->sizeAt(0) == input->sizeAt(dimC), 0, "LAYER_NORM_BP OP: wrong shape of gain array, expected is {%i}, but got %s instead !", input->sizeAt(dimC), ShapeUtils::shapeAsString(gain).c_str());
diff --git a/libnd4j/include/ops/declarable/generic/nn/logSoftmax.cpp b/libnd4j/include/ops/declarable/generic/nn/logSoftmax.cpp
index 64aadce37..c96509554 100644
--- a/libnd4j/include/ops/declarable/generic/nn/logSoftmax.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/logSoftmax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/lrn.cpp b/libnd4j/include/ops/declarable/generic/nn/lrn.cpp
index e9546d1db..8095306ef 100644
--- a/libnd4j/include/ops/declarable/generic/nn/lrn.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/lrn.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/multi_head_dot_product_attention.cpp b/libnd4j/include/ops/declarable/generic/nn/multi_head_dot_product_attention.cpp
index 7ff8eb4c5..018c928e3 100644
--- a/libnd4j/include/ops/declarable/generic/nn/multi_head_dot_product_attention.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/multi_head_dot_product_attention.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Paul Dubs
diff --git a/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool2d.cpp b/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool2d.cpp
index fde075667..4b6e7543e 100644
--- a/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool3d.cpp b/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool3d.cpp
index d8df11385..5806c819d 100644
--- a/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool3d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/pooling/avgpool3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool2d.cpp b/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool2d.cpp
index 8a37b90b0..2f96c2c3f 100644
--- a/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool3d.cpp b/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool3d.cpp
index fd28901cc..0cb960e3f 100644
--- a/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool3d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -47,7 +49,7 @@ CUSTOM_OP_IMPL(maxpool3dnew, 1, 1, false, 0, 14) {
     int dH = INT_ARG(10);                                                       // dilations height
     int dW = INT_ARG(11);                                                       // dilations width
     int isSameMode = INT_ARG(12);                                               // 1-SAME,  0-VALID
-    // int extraParam0 = INT_ARG(13);                                           // unnecessary for max case, required only for avg and pnorm cases
+    int extraParam0 = INT_ARG(13);                                           // unnecessary for max case, required only for avg and pnorm cases
     int isNCDHW  = block.getIArguments()->size() > 14 ? !INT_ARG(14) : 1;       // 1-NDHWC, 0-NCDHW
 
     REQUIRE_TRUE(input->rankOf() == 5, 0, "MAXPOOL3DNEW OP: rank of input array must be equal to 5, but got %i instead !", input->rankOf());
@@ -166,7 +168,7 @@ CUSTOM_OP_IMPL(maxpool3dnew_bp, 2, 1, false, 0, 14) {
     const int dH = INT_ARG(10);                                                 // dilations height
     const int dW = INT_ARG(11);                                                 // dilations width
     const int isSameMode = INT_ARG(12);                                         // 1-SAME,  0-VALID
-    // int extraParam0 = INT_ARG(13);                                           // unnecessary for max case, required only for avg and pnorm cases
+    int extraParam0 = INT_ARG(13);                                           // unnecessary for max case, required only for avg and pnorm cases
     int isNCDHW  = block.getIArguments()->size() > 14 ? !INT_ARG(14) : 1;       // 1-NDHWC, 0-NCDHW
 
     REQUIRE_TRUE(input->rankOf() == 5, 0, "MAXPOOL3DNEW_BP op: input should have rank of 5, but got %i instead", input->rankOf());
diff --git a/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool_with_argmax.cpp b/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool_with_argmax.cpp
index b03d19451..bd5568f07 100644
--- a/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool_with_argmax.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/pooling/maxpool_with_argmax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/pooling/pnormpool2d.cpp b/libnd4j/include/ops/declarable/generic/nn/pooling/pnormpool2d.cpp
index 927627ff8..1ff5a7880 100644
--- a/libnd4j/include/ops/declarable/generic/nn/pooling/pnormpool2d.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/pooling/pnormpool2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicBidirectionalRNN.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicBidirectionalRNN.cpp
index d03f568b5..4a0fbea37 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicBidirectionalRNN.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicBidirectionalRNN.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicRNN.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicRNN.cpp
index 9836d65ce..6646e5880 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicRNN.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/dynamicRNN.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/gru.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/gru.cpp
index 0be3c8393..cc1ae5d3e 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/gru.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/gru.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/gruCell.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/gruCell.cpp
index 25c8d3744..cd421874c 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/gruCell.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/gruCell.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstm.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstm.cpp
index 915be3129..91c7a70a9 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstm.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstm.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma, created on 15.02.2018
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlock.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlock.cpp
index 1fd7ec8cc..dafb3aac2 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlock.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlock.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 // lstmBlock: Full LSTM layer in one op
 // @author Alex Black
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlockCell.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlockCell.cpp
index 55d3a6b7a..f967d0be4 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlockCell.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmBlockCell.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Alex Black
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmCell.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmCell.cpp
index 32cb481ee..f7230d8e9 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmCell.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmCell.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayer.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayer.cpp
index 0a0754a8e..021289173 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayer.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayer.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayerCell.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayerCell.cpp
index 645541d6b..eb085a08a 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayerCell.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/lstmLayerCell.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/sru.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/sru.cpp
index 918b33d4b..e169bb1bd 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/sru.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/sru.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/sruCell.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/sruCell.cpp
index 3268da453..7bdc1657c 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/sruCell.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/sruCell.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/staticBidirectionalRNN.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/staticBidirectionalRNN.cpp
index fbe604a31..5e54f3973 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/staticBidirectionalRNN.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/staticBidirectionalRNN.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/recurrent/staticRNN.cpp b/libnd4j/include/ops/declarable/generic/nn/recurrent/staticRNN.cpp
index 26d2e0818..ba0d38cec 100644
--- a/libnd4j/include/ops/declarable/generic/nn/recurrent/staticRNN.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/recurrent/staticRNN.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/relu_layer.cpp b/libnd4j/include/ops/declarable/generic/nn/relu_layer.cpp
index c76b79b7b..dfa9bd237 100644
--- a/libnd4j/include/ops/declarable/generic/nn/relu_layer.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/relu_layer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/softmax.cpp b/libnd4j/include/ops/declarable/generic/nn/softmax.cpp
index d5c58bb7a..86bf67dff 100644
--- a/libnd4j/include/ops/declarable/generic/nn/softmax.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/softmax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/nn/xw_plus_b.cpp b/libnd4j/include/ops/declarable/generic/nn/xw_plus_b.cpp
index 5b36ee0e5..1a0b4008d 100644
--- a/libnd4j/include/ops/declarable/generic/nn/xw_plus_b.cpp
+++ b/libnd4j/include/ops/declarable/generic/nn/xw_plus_b.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops.cpp b/libnd4j/include/ops/declarable/generic/parity_ops.cpp
index 3595512a2..e67a40795 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/assert.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/assert.cpp
index 362d51c83..1d56f2a72 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/assert.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/assert.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/bincount.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/bincount.cpp
index 45b864f26..86868ef67 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/bincount.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/bincount.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -36,7 +38,7 @@ namespace sd {
 
         CUSTOM_OP_IMPL(bincount, 1, 1, false, 0, 0) {
             auto values = INPUT_VARIABLE(0);
-            
+
             NDArray *weights = nullptr;
 
             int maxLength = -1;
@@ -52,11 +54,24 @@ namespace sd {
 
             if (block.width() == 2) { // the second argument is weights
                 weights = INPUT_VARIABLE(1);
+                if(weights->lengthOf() < 1) {
+                    weights = NDArrayFactory::create_('c',values->getShapeAsVector(),values->dataType());
+                    weights->assign(1);
+                } else if(weights->isScalar()) {
+                    auto value = weights->asVectorT();
+                    weights = NDArrayFactory::create_('c',values->getShapeAsVector(),values->dataType());
+                    weights->assign(value[0]);
+
+                }
+
                 REQUIRE_TRUE(values->isSameShape(weights), 0, "bincount: the input and weights shapes should be equals");
             }
             else if (block.width() == 3) { // the second argument is min and the third is max
                 auto min= INPUT_VARIABLE(1);
-                auto max = INPUT_VARIABLE(2);
+                auto max = min;
+                if(INPUT_VARIABLE(2)->lengthOf() > 0) {
+                    max = INPUT_VARIABLE(2);
+                }
                 minLength = min->e(0);
                 maxLength = max->e(0);
             }
@@ -64,24 +79,38 @@ namespace sd {
                 auto min= INPUT_VARIABLE(2);
                 auto max = INPUT_VARIABLE(3);
                 minLength = min->e(0);
-                maxLength = max->e(0);
+                if(INPUT_VARIABLE(2)->lengthOf() > 0) {
+                    maxLength = max->e(0);
+                }
+                else
+                    maxLength = minLength;
                 weights = INPUT_VARIABLE(1);
+                if(weights->lengthOf() < 1) {
+                    weights = NDArrayFactory::create_('c',values->getShapeAsVector(),values->dataType());
+                    weights->assign(1);
+                } else if(weights->isScalar()) {
+                    auto value = weights->asVectorT();
+                    weights = NDArrayFactory::create_('c',values->getShapeAsVector(),values->dataType());
+                    weights->assign(value[0]);
+
+                }
                 REQUIRE_TRUE(values->isSameShape(weights), 0, "bincount: the input and weights shapes should be equals");
 
             }
+
             minLength = sd::math::nd4j_max(minLength, 0);
             maxLength = sd::math::nd4j_min(maxLength, values->e(maxIndex) + 1);
 
             auto result = OUTPUT_VARIABLE(0);
             result->assign(0.0f);
-             
+
             helpers::adjustWeights(block.launchContext(), values, weights, result, minLength, maxLength);
 
             return Status::OK();
         }
 
         DECLARE_SHAPE_FN(bincount) {
-            auto shapeList = SHAPELIST(); 
+            auto shapeList = SHAPELIST();
             auto in = INPUT_VARIABLE(0);
             sd::DataType dtype = DataType::INT32;
             if (block.width() > 1)
@@ -92,28 +121,38 @@ namespace sd {
             int maxIndex = in->argMax();
             int maxLength = in->e(maxIndex)  + 1;
             int outLength = maxLength;
+
             if (block.numI() > 0)
                 outLength = sd::math::nd4j_max(maxLength, INT_ARG(0));
 
-            if (block.numI() > 1) 
+            if (block.numI() > 1)
                 outLength = sd::math::nd4j_min(outLength, INT_ARG(1));
 
+
             if (block.width() == 3) { // the second argument is min and the third is max
-                auto min= INPUT_VARIABLE(1)->e(0);
-                auto max = INPUT_VARIABLE(2)->e(0);
+                auto min = INPUT_VARIABLE(1)->e(0);
+                auto max = min;
+                if(INPUT_VARIABLE(2)->lengthOf() > 0) {
+                    max = INPUT_VARIABLE(2)->e(0);
+                }
+
                 outLength = sd::math::nd4j_max(maxLength, min);
                 outLength = sd::math::nd4j_min(outLength, max);
             }
             else if (block.width() > 3) {
                 auto min= INPUT_VARIABLE(2);
-                auto max = INPUT_VARIABLE(3);
+                auto max = min;
+                if(INPUT_VARIABLE(3)->lengthOf() > 0) {
+                    max = INPUT_VARIABLE(3);
+                }
                 outLength = sd::math::nd4j_max(maxLength, min->e(0));
                 outLength = sd::math::nd4j_min(outLength, max->e(0));
             }
 
+
             auto newshape = ConstantShapeHelper::getInstance().vectorShapeInfo(outLength, dtype);
 
-            shapeList->push_back(newshape); 
+            shapeList->push_back(newshape);
             return shapeList;
         }
 
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/broadcast_dynamic_shape.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/broadcast_dynamic_shape.cpp
index d954a0b44..eee21a729 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/broadcast_dynamic_shape.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/broadcast_dynamic_shape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/check_numerics.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/check_numerics.cpp
index 3d06d4ced..5c7f8c79a 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/check_numerics.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/check_numerics.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/compare_and_bitpack.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/compare_and_bitpack.cpp
index f694502b3..f62492a40 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/compare_and_bitpack.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/compare_and_bitpack.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/confusion_matrix.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/confusion_matrix.cpp
index f5c5cbb91..9fc2b64df 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/confusion_matrix.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/confusion_matrix.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/expose.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/expose.cpp
index d9c931f21..c03b5e9bc 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/expose.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/expose.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars.cpp
index 291e8b7c1..9459ddc0e 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars_per_channel.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars_per_channel.cpp
index 4af483e22..ed8898d30 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars_per_channel.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/fake_quant_with_min_max_vars_per_channel.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/in_top_k.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/in_top_k.cpp
index 7618de5b1..cb33b7972 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/in_top_k.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/in_top_k.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/listdiff.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/listdiff.cpp
index 86a37619e..9b8ec9da1 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/listdiff.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/listdiff.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression.cpp
index 91512b2f7..c0b5f9d00 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression_overlaps.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression_overlaps.cpp
index 1cc4addbc..61be1e719 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression_overlaps.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/non_max_suppression_overlaps.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/normalize_moments.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/normalize_moments.cpp
index f8a4c5c6e..66c0f48ff 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/normalize_moments.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/normalize_moments.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/nth_element.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/nth_element.cpp
index b9326a981..3cc126bed 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/nth_element.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/nth_element.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/onehot.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/onehot.cpp
index 5b25ea7e6..bac7c0f7e 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/onehot.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/onehot.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -34,8 +36,8 @@ namespace sd {
             double on(1.0f); // T_ARG(0);
             double off(0.0f); //T_ARG(1);
 
-            auto depth = -1; //INT_ARG(0);
-            auto axis = -1; //INT_ARG(1);
+            auto axis = -1; //INT_ARG(0);
+            auto depth = -1; //INT_ARG(1);
 
             if (block.numI() > 0)
                 axis = INT_ARG(0);
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/rint.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/rint.cpp
index 1e1058397..4d28087d1 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/rint.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/rint.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/roll.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/roll.cpp
index 75f102fa0..ba5b161c5 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/roll.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/roll.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -49,9 +51,10 @@ namespace ops {
                 if (shift < 0) {
                     shift -= input->sizeAt(i) * (shift / inputLen - 1);
                 }
-                else {
+                else if(shift != 0) {
                     shift %= input->sizeAt(i);
                 }
+
                 shifts[i] = shift;
             }
 
@@ -62,7 +65,7 @@ namespace ops {
                 // convert shift to positive value between 1 and inputLen - 1
                 shift -= inputLen * (shift / inputLen - 1);
             }
-            else
+            else if(shift != 0)
                 // cut shift to value between 1 and inputLen - 1
                 shift %= inputLen;
             axes.resize(block.getIArguments()->size() - 1);
@@ -85,6 +88,21 @@ namespace ops {
         if (block.isInplace()) output = input;
 
         shiftIsLinear = (axes.size() == 0) || (input->rankOf() == 1);
+        nd4j_debug("Roll: Shift is linear %d Shift is %d, first dimension is %d\n",shiftIsLinear,shifts[0],axes[0]);
+        bool shiftsSumZero = false;
+        auto shiftSum = 0;
+        for (auto& s: shifts) {
+           shiftSum += s;
+           nd4j_debug("Roll: Shift  is %d\n",s);
+        }
+        //all zeros is no op
+        if(shiftSum < 1) {
+            nd4j_debug("Roll: No shift needed. Shift total was %d\n",shiftSum);
+            if(!block.isInplace()) {
+                output->assign(input);
+            }
+            return Status::OK();
+        }
 
         if (shiftIsLinear) {
             helpers::rollFunctorLinear(block.launchContext(), input, output, shifts[0], block.isInplace());
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/segment_max.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/segment_max.cpp
index b348c4549..8ecb9e1cb 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/segment_max.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/segment_max.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/segment_mean.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/segment_mean.cpp
index 1d8a5bb7f..497c6458d 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/segment_mean.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/segment_mean.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/segment_min.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/segment_min.cpp
index 10bc1dd26..efbc5777d 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/segment_min.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/segment_min.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/segment_prod.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/segment_prod.cpp
index 4f83ac9b0..de260b074 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/segment_prod.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/segment_prod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/segment_sum.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/segment_sum.cpp
index cb4734c5f..cbc37be40 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/segment_sum.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/segment_sum.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/sequence_mask.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/sequence_mask.cpp
index 6b0402ebb..97bcad5c1 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/sequence_mask.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/sequence_mask.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/square.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/square.cpp
index adc3a2cb5..c041a4a48 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/square.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/square.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/stop_gradient.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/stop_gradient.cpp
index 621df4462..a1916fbe6 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/stop_gradient.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/stop_gradient.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/top_k.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/top_k.cpp
index b042e94fe..9a652bda9 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/top_k.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/top_k.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unique.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unique.cpp
index 9d234abaa..29906ad55 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unique.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unique.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_max.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_max.cpp
index 1909005a7..78b18628f 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_max.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_max.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -26,42 +28,50 @@ namespace sd {
         CUSTOM_OP_IMPL(unsorted_segment_max, 2, 1, false, 0, 0) {
             auto input = INPUT_VARIABLE(0);
             auto idxSegments = INPUT_VARIABLE(1);
+            auto reshapedSegments = *idxSegments;
+            if(!idxSegments->isVector() && idxSegments->rankOf() > 1) {
+                reshapedSegments = idxSegments->reshape('c',{idxSegments->lengthOf()},false);
+            }
+
             auto segmentedOutput = OUTPUT_NULLIFIED(0);
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-            REQUIRE_TRUE(idxSegments->isVector(), 0, "unsorted_segment_max: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
-            REQUIRE_TRUE(idxSegments->lengthOf() == input->sizeAt(0), 0, "unsorted_segment_max: segment indexes array length should be equal to the input first dimension, but %ld != %ild.", idxSegments->lengthOf(), input->sizeAt(0));
-
-            Nd4jLong wrong;
-
-            REQUIRE_TRUE(helpers::unsortedSegmentIndicesValidate(block.launchContext(), idxSegments, numOfClasses, wrong), 0, "unsorted_segment_max: segment indices should be in range [0, %ld), but %ld != %ld",
-                    numOfClasses, wrong, numOfClasses);
-
-            helpers::unsortedSegmentMaxFunctor(block.launchContext(), input, idxSegments, numOfClasses, segmentedOutput);
+            REQUIRE_TRUE(reshapedSegments.isVector(), 0, "unsorted_segment_max: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
+            helpers::unsortedSegmentMaxFunctor(block.launchContext(), input, &reshapedSegments, numOfClasses, segmentedOutput);
 
             return ND4J_STATUS_OK;
         }
         DECLARE_TYPES(unsorted_segment_max) {
             getOpDescriptor()
-                ->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS})
-                ->setAllowedInputTypes(0, {ALL_FLOATS, ALL_INTS})
-                ->setAllowedInputTypes(1, {ALL_INTS})
-                ->setSameMode(true);
+                    ->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS})
+                    ->setAllowedInputTypes(0, {ALL_FLOATS, ALL_INTS})
+                    ->setAllowedInputTypes(1, {ALL_INTS})
+                    ->setSameMode(true);
         }
         DECLARE_SHAPE_FN(unsorted_segment_max) {
 
+
             auto in = inputShape->at(0);
             int outRank = shape::rank(in);
+            Nd4jLong* outputShape = nullptr;
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-            Nd4jLong* outputShape;
 
-            ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+            if(INPUT_VARIABLE(0)->rankOf() >= 2) {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+                outputShape[0] = outRank;
+                outputShape[1] = numOfClasses;
+                for(int i = 1; i < outRank; i++)
+                    outputShape[i + 1] = shape::sizeAt(in, i);
 
-            outputShape[0] = outRank;
-            outputShape[1] = numOfClasses;
-            for(int i = 1; i < outRank; ++i)
-                outputShape[i + 1] = shape::sizeAt(in, i);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+
+            } else {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(1), Nd4jLong);
+                outputShape[0] = 1;
+                outputShape[1] = numOfClasses;
+                shape::printShapeInfo(outputShape);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+            }
 
-            ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
 
             return SHAPELIST(CONSTANT(outputShape));
         }
@@ -73,7 +83,7 @@ namespace sd {
         DECLARE_TYPES(unsorted_segment_max_bp) {
             getOpDescriptor()
                     ->setAllowedOutputTypes(0, {ALL_FLOATS})
-					->setAllowedOutputTypes(1, {ALL_INTS})
+                    ->setAllowedOutputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(0, {ALL_FLOATS})
                     ->setAllowedInputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(2, {ALL_FLOATS})
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_mean.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_mean.cpp
index def3adb6a..c78c7a8a5 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_mean.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_mean.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -25,19 +27,21 @@ namespace sd {
     namespace ops {
         CUSTOM_OP_IMPL(unsorted_segment_mean, 2, 1, false, 0, 0) {
             auto input = INPUT_VARIABLE(0);
+            auto reshapedInput = *input;
+      /*      if(!input->isVector()) {
+                reshapedInput = input->reshape('c',{input->lengthOf()},false);
+            }*/
+
             auto idxSegments = INPUT_VARIABLE(1);
+            auto reshapedSegments = *idxSegments;
+            if(!idxSegments->isVector() && idxSegments->rankOf() > 1) {
+                reshapedSegments = idxSegments->reshape('c',{idxSegments->lengthOf()},false);
+            }
+
             auto segmentedOutput = OUTPUT_NULLIFIED(0);
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-
-            REQUIRE_TRUE(idxSegments->isVector(), 0, "unsorted_segment_mean: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
-            REQUIRE_TRUE(idxSegments->lengthOf() == input->sizeAt(0), 0, "unsorted_segment_mean: segment indexes array length should be equal to the input first dimension, but %ld != %ld.", idxSegments->lengthOf(), input->sizeAt(0));
-
-            Nd4jLong wrong;
-
-            REQUIRE_TRUE(helpers::unsortedSegmentIndicesValidate(block.launchContext(), idxSegments, numOfClasses, wrong), 0, "unsorted_segment_mean: segment indices should be in range [0, %ld), but %ld != %ld",
-                    numOfClasses, wrong, numOfClasses);
-
-            helpers::unsortedSegmentMeanFunctor(block.launchContext(), input, idxSegments, numOfClasses, segmentedOutput);
+            REQUIRE_TRUE(reshapedSegments.isVector(), 0, "unsorted_segment_sum: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
+            helpers::unsortedSegmentMeanFunctor(block.launchContext(), &reshapedInput, &reshapedSegments, numOfClasses, segmentedOutput);
 
             return ND4J_STATUS_OK;
         }
@@ -56,14 +60,23 @@ namespace sd {
             Nd4jLong* outputShape = nullptr;
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
 
-            ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+            if(INPUT_VARIABLE(0)->rankOf() >= 2) {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+                outputShape[0] = outRank;
+                outputShape[1] = numOfClasses;
+                for(int i = 1; i < outRank; i++)
+                    outputShape[i + 1] = shape::sizeAt(in, i);
 
-            outputShape[0] = outRank;
-            outputShape[1] = numOfClasses;
-            for(int i = 1; i < outRank; ++i)
-                outputShape[i + 1] = shape::sizeAt(in, i);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+
+            } else {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(1), Nd4jLong);
+                outputShape[0] = 1;
+                outputShape[1] = numOfClasses;
+                shape::printShapeInfo(outputShape);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+            }
 
-            ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
 
             return SHAPELIST(CONSTANT(outputShape));
         }
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_min.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_min.cpp
index da31477eb..93fc959f2 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_min.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_min.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -25,37 +27,49 @@ namespace sd {
     namespace ops {
         CUSTOM_OP_IMPL(unsorted_segment_min, 2, 1, false, 0, 0) {
             auto input = INPUT_VARIABLE(0);
+            auto reshapedInput = *input;
+
+
             auto idxSegments = INPUT_VARIABLE(1);
+            auto reshapedSegments = *idxSegments;
+            if(!idxSegments->isVector() && idxSegments->rankOf() > 1) {
+                reshapedSegments = idxSegments->reshape('c',{idxSegments->lengthOf()},false);
+            }
+
             auto segmentedOutput = OUTPUT_NULLIFIED(0);
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-            REQUIRE_TRUE(idxSegments->isVector(), 0, "unsorted_segment_min: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
-            REQUIRE_TRUE(idxSegments->lengthOf() == input->sizeAt(0), 0, "unsorted_segment_min: segment indexes array length should be equal to the input first dimension, but %ld != %ld.", idxSegments->lengthOf(), input->sizeAt(0));
-
-            Nd4jLong wrong;
-
-            REQUIRE_TRUE(helpers::unsortedSegmentIndicesValidate(block.launchContext(), idxSegments, numOfClasses, wrong), 0, "unsorted_segment_min: segment indices should be in range [0, %ld), but %ld > %ld",
-                    numOfClasses, wrong, numOfClasses);
-
-            helpers::unsortedSegmentMinFunctor(block.launchContext(), input, idxSegments, numOfClasses, segmentedOutput);
+            REQUIRE_TRUE(reshapedSegments.isVector(), 0, "unsorted_segment_sum: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
 
+            helpers::unsortedSegmentMinFunctor(block.launchContext(), &reshapedInput, &reshapedSegments, numOfClasses, segmentedOutput);
             return ND4J_STATUS_OK;
+
         }
 
         DECLARE_SHAPE_FN(unsorted_segment_min) {
 
+
             auto in = inputShape->at(0);
             int outRank = shape::rank(in);
             Nd4jLong* outputShape = nullptr;
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
 
-            ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+            if(INPUT_VARIABLE(0)->rankOf() >= 2) {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+                outputShape[0] = outRank;
+                outputShape[1] = numOfClasses;
+                for(int i = 1; i < outRank; i++)
+                    outputShape[i + 1] = shape::sizeAt(in, i);
 
-            outputShape[0] = outRank;
-            outputShape[1] = numOfClasses;
-            for(int i = 1; i < outRank; ++i)
-                outputShape[i + 1] = shape::sizeAt(in, i);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+
+            } else {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(1), Nd4jLong);
+                outputShape[0] = 1;
+                outputShape[1] = numOfClasses;
+                shape::printShapeInfo(outputShape);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+            }
 
-            ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
 
             return SHAPELIST(CONSTANT(outputShape));
         }
@@ -75,7 +89,7 @@ namespace sd {
         DECLARE_TYPES(unsorted_segment_min_bp) {
             getOpDescriptor()
                     ->setAllowedOutputTypes(0, {ALL_FLOATS, ALL_INTS})
-					->setAllowedOutputTypes(1, {ALL_INTS})
+                    ->setAllowedOutputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(0, {ALL_FLOATS, ALL_INTS})
                     ->setAllowedInputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(2, {ALL_FLOATS, ALL_INTS})
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_prod.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_prod.cpp
index 905a04b36..ff778372a 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_prod.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_prod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -25,18 +27,21 @@ namespace sd {
     namespace ops {
         CUSTOM_OP_IMPL(unsorted_segment_prod, 2, 1, false, 0, 0) {
             auto input = INPUT_VARIABLE(0);
+            auto reshapedInput = *input;
+         /*   if(!input->isVector()) {
+                reshapedInput = input->reshape('c',{input->lengthOf()},false);
+            }*/
+
             auto idxSegments = INPUT_VARIABLE(1);
+            auto reshapedSegments = *idxSegments;
+            if(!idxSegments->isVector() && idxSegments->rankOf() > 1) {
+                reshapedSegments = idxSegments->reshape('c',{idxSegments->lengthOf()},false);
+            }
+
             auto segmentedOutput = OUTPUT_NULLIFIED(0);
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-            REQUIRE_TRUE(idxSegments->isVector(), 0, "unsorted_segment_prod: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
-            REQUIRE_TRUE(idxSegments->lengthOf() == input->sizeAt(0), 0, "unsorted_segment_prod: segment indexes array length should be equal to the input first dimension, but %ld != %ld.", idxSegments->lengthOf(), input->sizeAt(0));
-
-            Nd4jLong wrong = 0;
-
-            REQUIRE_TRUE(helpers::unsortedSegmentIndicesValidate(block.launchContext(), idxSegments, numOfClasses, wrong), 0, "unsorted_segment_prod: segment indices should be in range [0, %ld), but %ld != %ld",
-                    numOfClasses, wrong, numOfClasses);
-
-            helpers::unsortedSegmentProdFunctor(block.launchContext(), input, idxSegments, numOfClasses, segmentedOutput);
+            REQUIRE_TRUE(reshapedSegments.isVector(), 0, "unsorted_segment_sum: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
+            helpers::unsortedSegmentProdFunctor(block.launchContext(), &reshapedInput, &reshapedSegments, numOfClasses, segmentedOutput);
 
             return ND4J_STATUS_OK;
         }
@@ -48,14 +53,23 @@ namespace sd {
             Nd4jLong* outputShape = nullptr;
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
 
-            ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+            if(INPUT_VARIABLE(0)->rankOf() >= 2) {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+                outputShape[0] = outRank;
+                outputShape[1] = numOfClasses;
+                for(int i = 1; i < outRank; i++)
+                    outputShape[i + 1] = shape::sizeAt(in, i);
 
-            outputShape[0] = outRank;
-            outputShape[1] = numOfClasses;
-            for(int i = 1; i < outRank; ++i)
-                outputShape[i + 1] = shape::sizeAt(in, i);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+
+            } else {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(1), Nd4jLong);
+                outputShape[0] = 1;
+                outputShape[1] = numOfClasses;
+                shape::printShapeInfo(outputShape);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+            }
 
-            ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
 
             return SHAPELIST(CONSTANT(outputShape));
         }
@@ -88,7 +102,7 @@ namespace sd {
         DECLARE_TYPES(unsorted_segment_prod_bp) {
             getOpDescriptor()
                     ->setAllowedOutputTypes(0, {ALL_FLOATS})
-					->setAllowedOutputTypes(1, {ALL_INDICES})
+                    ->setAllowedOutputTypes(1, {ALL_INDICES})
                     ->setAllowedInputTypes(0, {ALL_FLOATS})
                     ->setAllowedInputTypes(1, {ALL_INDICES})
                     ->setAllowedInputTypes(2,{ALL_FLOATS, ALL_INTS})
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sqrt_n.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sqrt_n.cpp
index e208f4489..05358a17d 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sqrt_n.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sqrt_n.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -25,18 +27,18 @@ namespace sd {
     namespace ops {
         CUSTOM_OP_IMPL(unsorted_segment_sqrt_n, 2, 1, false, 0, 0) {
             auto input = INPUT_VARIABLE(0);
+            auto reshapedInput = *input;
+
             auto idxSegments = INPUT_VARIABLE(1);
+            auto reshapedSegments = *idxSegments;
+            if(!idxSegments->isVector() && idxSegments->rankOf() > 1) {
+                reshapedSegments = idxSegments->reshape('c',{idxSegments->lengthOf()},false);
+            }
+
             auto segmentedOutput = OUTPUT_NULLIFIED(0);
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-            REQUIRE_TRUE(idxSegments->isVector(), 0, "unsorted_segment_sqrt_n: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
-            REQUIRE_TRUE(idxSegments->lengthOf() == input->sizeAt(0), 0, "unsorted_segment_sqrt_n: segment indexes array length should be equal to the input first dimension, but %ld != %ld.", idxSegments->lengthOf(), input->sizeAt(0));
-
-            Nd4jLong wrong;
-
-            REQUIRE_TRUE(helpers::unsortedSegmentIndicesValidate(block.launchContext(), idxSegments, numOfClasses, wrong), 0, "unsorted_segment_sqrt_n: segment indices should be in range [0, %ld), but %ld != %ld",
-                    numOfClasses, wrong, numOfClasses);
-
-            helpers::unsortedSegmentSqrtNFunctor(block.launchContext(), input, idxSegments, numOfClasses, segmentedOutput);
+            REQUIRE_TRUE(reshapedSegments.isVector(), 0, "unsorted_segment_sum: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
+            helpers::unsortedSegmentSqrtNFunctor(block.launchContext(), &reshapedInput, &reshapedSegments, numOfClasses, segmentedOutput);
 
             return ND4J_STATUS_OK;
         }
@@ -48,14 +50,23 @@ namespace sd {
             Nd4jLong* outputShape = nullptr;
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
 
-            ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+            if(INPUT_VARIABLE(0)->rankOf() >= 2) {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+                outputShape[0] = outRank;
+                outputShape[1] = numOfClasses;
+                for(int i = 1; i < outRank; i++)
+                    outputShape[i + 1] = shape::sizeAt(in, i);
 
-            outputShape[0] = outRank;
-            outputShape[1] = numOfClasses;
-            for(int i = 1; i < outRank; ++i)
-                outputShape[i + 1] = shape::sizeAt(in, i);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+
+            } else {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(1), Nd4jLong);
+                outputShape[0] = 1;
+                outputShape[1] = numOfClasses;
+                shape::printShapeInfo(outputShape);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+            }
 
-            ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
 
             return SHAPELIST(CONSTANT(outputShape));
         }
@@ -73,7 +84,7 @@ namespace sd {
         DECLARE_TYPES(unsorted_segment_sqrt_n_bp) {
             getOpDescriptor()
                     ->setAllowedOutputTypes(0, {ALL_FLOATS})
-					->setAllowedOutputTypes(1, {ALL_INTS})
+                    ->setAllowedOutputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(0, {ALL_FLOATS})
                     ->setAllowedInputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(2, {ALL_FLOATS})
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sum.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sum.cpp
index 325385a86..0f0f758c3 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sum.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/unsorted_segment_sum.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -25,18 +27,19 @@ namespace sd {
     namespace ops {
         CUSTOM_OP_IMPL(unsorted_segment_sum, 2, 1, false, 0, 0) {
             auto input = INPUT_VARIABLE(0);
+            auto reshapedInput = *input;
+
+
             auto idxSegments = INPUT_VARIABLE(1);
+            auto reshapedSegments = *idxSegments;
+            if(!idxSegments->isVector() || idxSegments->rankOf() > 1) {
+                reshapedSegments = idxSegments->reshape('c',{idxSegments->lengthOf()},false);
+            }
+
             auto segmentedOutput = OUTPUT_NULLIFIED(0);
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
-            REQUIRE_TRUE(idxSegments->isVector(), 0, "unsorted_segment_sum: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
-            REQUIRE_TRUE(idxSegments->lengthOf() == input->sizeAt(0), 0, "unsorted_segment_sum: segment indexes array length should be equal to the input first dimension, but %ld != %ld", idxSegments->lengthOf(), input->sizeAt(0));
-
-            Nd4jLong wrong;
-
-            REQUIRE_TRUE(helpers::unsortedSegmentIndicesValidate(block.launchContext(), idxSegments, numOfClasses, wrong), 0, "unsorted_segment_sum: segment indices should be in range [0, %ld), but %ld > %ld",
-                    numOfClasses, wrong, numOfClasses);
-
-            helpers::unsortedSegmentSumFunctor(block.launchContext(), input, idxSegments, numOfClasses, segmentedOutput);
+            REQUIRE_TRUE(reshapedSegments.isVector(), 0, "unsorted_segment_sum: segment indexes array should be a vector, but it rank is %i.", idxSegments->rankOf());
+            helpers::unsortedSegmentSumFunctor(block.launchContext(), &reshapedInput, &reshapedSegments, numOfClasses, segmentedOutput);
 
             return ND4J_STATUS_OK;
         }
@@ -55,14 +58,23 @@ namespace sd {
             Nd4jLong* outputShape = nullptr;
             Nd4jLong numOfClasses = block.width() == 3 ? INPUT_VARIABLE(2)->e(0) : INT_ARG(0);
 
-            ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+            if(INPUT_VARIABLE(0)->rankOf() >= 2) {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
+                outputShape[0] = outRank;
+                outputShape[1] = numOfClasses;
+                for(int i = 1; i < outRank; i++)
+                    outputShape[i + 1] = shape::sizeAt(in, i);
 
-            outputShape[0] = outRank;
-            outputShape[1] = numOfClasses;
-            for(int i = 1; i < outRank; ++i)
-                outputShape[i + 1] = shape::sizeAt(in, i);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+
+            } else {
+                ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(1), Nd4jLong);
+                outputShape[0] = 1;
+                outputShape[1] = numOfClasses;
+                shape::printShapeInfo(outputShape);
+                ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
+            }
 
-            ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
 
             return SHAPELIST(CONSTANT(outputShape));
         }
@@ -84,7 +96,7 @@ namespace sd {
         DECLARE_TYPES(unsorted_segment_sum_bp) {
             getOpDescriptor()
                     ->setAllowedOutputTypes(0, {ALL_FLOATS})
-					->setAllowedOutputTypes(1, {ALL_INTS})
+                    ->setAllowedOutputTypes(1, {ALL_INTS})
                     ->setAllowedInputTypes(sd::DataType::ANY)
                     ->setSameMode(false);
         }
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/weighted_cross_entropy_with_logits.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/weighted_cross_entropy_with_logits.cpp
index 71d337c7c..b65571105 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/weighted_cross_entropy_with_logits.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/weighted_cross_entropy_with_logits.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/parity_ops/zero_fraction.cpp b/libnd4j/include/ops/declarable/generic/parity_ops/zero_fraction.cpp
index 91f0a564d..461900163 100644
--- a/libnd4j/include/ops/declarable/generic/parity_ops/zero_fraction.cpp
+++ b/libnd4j/include/ops/declarable/generic/parity_ops/zero_fraction.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/bernoulli.cpp b/libnd4j/include/ops/declarable/generic/random/bernoulli.cpp
index ded5bfee5..0cbb4c6af 100644
--- a/libnd4j/include/ops/declarable/generic/random/bernoulli.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/bernoulli.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/dropout.cpp b/libnd4j/include/ops/declarable/generic/random/dropout.cpp
index b64fd49d5..66a6a2420 100644
--- a/libnd4j/include/ops/declarable/generic/random/dropout.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/dropout.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -105,7 +107,7 @@ CONFIGURABLE_OP_IMPL(alpha_dropout_bp, 2, 1, false, 4, 1) {
     int seed = INT_ARG(0);
     
     double probValue   = T_ARG(0);
-    double alphaValue  = T_ARG(0);
+    double alphaValue  = T_ARG(1);
     double alpha1Value = T_ARG(2);
     double betaValue   = T_ARG(3);
 
diff --git a/libnd4j/include/ops/declarable/generic/random/exponential.cpp b/libnd4j/include/ops/declarable/generic/random/exponential.cpp
index 735bab583..24a846688 100644
--- a/libnd4j/include/ops/declarable/generic/random/exponential.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/exponential.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/gamma.cpp b/libnd4j/include/ops/declarable/generic/random/gamma.cpp
index b7dfc9f06..e80e60c60 100644
--- a/libnd4j/include/ops/declarable/generic/random/gamma.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/gamma.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/get_seed.cpp b/libnd4j/include/ops/declarable/generic/random/get_seed.cpp
index 9f768e9f3..7b020cb3b 100644
--- a/libnd4j/include/ops/declarable/generic/random/get_seed.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/get_seed.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/multinomial.cpp b/libnd4j/include/ops/declarable/generic/random/multinomial.cpp
index 2e8225d2c..1774bec71 100644
--- a/libnd4j/include/ops/declarable/generic/random/multinomial.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/multinomial.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/random/normal.cpp b/libnd4j/include/ops/declarable/generic/random/normal.cpp
index 701570784..120404cd2 100644
--- a/libnd4j/include/ops/declarable/generic/random/normal.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/normal.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/poisson.cpp b/libnd4j/include/ops/declarable/generic/random/poisson.cpp
index 2eb601bc9..e9d68e842 100644
--- a/libnd4j/include/ops/declarable/generic/random/poisson.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/poisson.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/random_crop.cpp b/libnd4j/include/ops/declarable/generic/random/random_crop.cpp
index 1b30b2f91..3d1cb0098 100644
--- a/libnd4j/include/ops/declarable/generic/random/random_crop.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/random_crop.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/random_shuffle.cpp b/libnd4j/include/ops/declarable/generic/random/random_shuffle.cpp
index 012d2e55a..9f0edaf94 100644
--- a/libnd4j/include/ops/declarable/generic/random/random_shuffle.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/random_shuffle.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/set_seed.cpp b/libnd4j/include/ops/declarable/generic/random/set_seed.cpp
index f7050f3ab..619b151be 100644
--- a/libnd4j/include/ops/declarable/generic/random/set_seed.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/set_seed.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/random/uniform.cpp b/libnd4j/include/ops/declarable/generic/random/uniform.cpp
index d4abccf78..cb7f146da 100644
--- a/libnd4j/include/ops/declarable/generic/random/uniform.cpp
+++ b/libnd4j/include/ops/declarable/generic/random/uniform.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver119 on 29/10/17.
@@ -33,17 +36,24 @@ namespace sd {
          * uniform distribution
          * takes 1 ndarray
          *
-         * T argumens map:
+         * T arguments map:
          * TArgs[0] - min for rng
          * TArgs[1] - max for rng
          */
-        CUSTOM_OP_IMPL(randomuniform, 1, 1, true, 0, 0) {
+        CUSTOM_OP_IMPL(randomuniform, -1, 1, true, 0, -1) {
             // uniform distribution
             auto rng = block.randomGenerator();
             auto dtype = DataType::FLOAT32;
             if (block.getIArguments()->size())
                 dtype = (DataType)INT_ARG(0);
 
+            if(block.getIArguments()->size() > 1) {
+                auto seed = INT_ARG(1);
+                rng.setStates(seed,seed ^ 0xdeadbeef);
+                nd4j_debug("randomuniform: Setting seed %d\n",seed);
+                //rng.setSeed(seed);
+            }
+
             auto min = block.width() > 1 ? INPUT_VARIABLE(1) : (NDArray*) nullptr;
             auto max = block.width() > 2 ? INPUT_VARIABLE(2) : (NDArray*) nullptr;
             bool disposable = false;
diff --git a/libnd4j/include/ops/declarable/generic/reduce/argamax.cpp b/libnd4j/include/ops/declarable/generic/reduce/argamax.cpp
index a347c398a..b6a05639d 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/argamax.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/argamax.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  // Created by Abdelrauf 2020 (based on argmax)
 
diff --git a/libnd4j/include/ops/declarable/generic/reduce/argamin.cpp b/libnd4j/include/ops/declarable/generic/reduce/argamin.cpp
index 68ad9d2e5..174f87eed 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/argamin.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/argamin.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  // Created by Abdelrauf 2020 (based on argmax)
 
diff --git a/libnd4j/include/ops/declarable/generic/reduce/argmax.cpp b/libnd4j/include/ops/declarable/generic/reduce/argmax.cpp
index f8a2486fa..86f3b5ef6 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/argmax.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/argmax.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver119 on 01.11.2017.
diff --git a/libnd4j/include/ops/declarable/generic/reduce/argmin.cpp b/libnd4j/include/ops/declarable/generic/reduce/argmin.cpp
index 40648b7f6..37dc4b391 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/argmin.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/argmin.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/norm.cpp b/libnd4j/include/ops/declarable/generic/reduce/norm.cpp
index 64c2e5ccb..be04f732d 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/norm.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/norm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduceMean.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduceMean.cpp
index 90560bbb6..c762096ed 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduceMean.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduceMean.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduceStDev.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduceStDev.cpp
index d101a6a79..a25ace6d8 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduceStDev.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduceStDev.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduceVariance.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduceVariance.cpp
index cd7441304..f6c2b56aa 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduceVariance.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduceVariance.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_dot.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_dot.cpp
index 75cb40ca2..b7151cdd3 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_dot.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_dot.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_logsumexp.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_logsumexp.cpp
index 556ad2a7c..bf0fd9c6a 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_logsumexp.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_logsumexp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_max.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_max.cpp
index bea1e7ecc..60c49f335 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_max.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_max.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_min.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_min.cpp
index d4b470b8e..33eced33b 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_min.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_min.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_norm1.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_norm1.cpp
index 31261fe5c..e78bc3064 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_norm1.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_norm1.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_norm2.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_norm2.cpp
index c9ea8e374..5d9f257d2 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_norm2.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_norm2.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_norm_max.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_norm_max.cpp
index b1a018900..672714403 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_norm_max.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_norm_max.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_prod.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_prod.cpp
index e873220ef..3ddab11db 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_prod.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_prod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_sqnorm.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_sqnorm.cpp
index 22d2c6e1b..6673727b9 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_sqnorm.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_sqnorm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/reduce/reduce_sum.cpp b/libnd4j/include/ops/declarable/generic/reduce/reduce_sum.cpp
index 0f4a5f467..6aadd365d 100644
--- a/libnd4j/include/ops/declarable/generic/reduce/reduce_sum.cpp
+++ b/libnd4j/include/ops/declarable/generic/reduce/reduce_sum.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/broadcast_to.cpp b/libnd4j/include/ops/declarable/generic/shape/broadcast_to.cpp
index 18d10be7b..f75f62716 100644
--- a/libnd4j/include/ops/declarable/generic/shape/broadcast_to.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/broadcast_to.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/evaluate_reduction_shape.cpp b/libnd4j/include/ops/declarable/generic/shape/evaluate_reduction_shape.cpp
index c35a81279..956ce3fff 100644
--- a/libnd4j/include/ops/declarable/generic/shape/evaluate_reduction_shape.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/evaluate_reduction_shape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/expand_dims.cpp b/libnd4j/include/ops/declarable/generic/shape/expand_dims.cpp
index df31f5109..f3eefa0a2 100644
--- a/libnd4j/include/ops/declarable/generic/shape/expand_dims.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/expand_dims.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/flatten.cpp b/libnd4j/include/ops/declarable/generic/shape/flatten.cpp
index 8327ca1a1..036f39538 100644
--- a/libnd4j/include/ops/declarable/generic/shape/flatten.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/flatten.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/flatten_2d.cpp b/libnd4j/include/ops/declarable/generic/shape/flatten_2d.cpp
new file mode 100644
index 000000000..c28b06c7e
--- /dev/null
+++ b/libnd4j/include/ops/declarable/generic/shape/flatten_2d.cpp
@@ -0,0 +1,94 @@
+/* ******************************************************************************
+ *
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
+ * https://www.apache.org/licenses/LICENSE-2.0.
+ *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ ******************************************************************************/
+
+//
+// Created by raver119 on 29/10/17.
+//
+
+#include 
+#if NOT_EXCLUDED(OP_flatten2d)
+
+#include 
+
+namespace sd {
+namespace ops  {
+
+//////////////////////////////////////////////////////////////////////////
+// here iArgs is a vector with (optional) negative of order as first element:
+// ({-order, dim1, dim2, dim3, ...})
+CUSTOM_OP_IMPL(flatten_2d, 1, 1, false, 0, -2) {
+
+    auto x = INPUT_VARIABLE(0);
+    auto z = OUTPUT_VARIABLE(0);
+
+    //Special case: empty.reshape() -> return empty
+    if (x->isEmpty()) {
+        REQUIRE_TRUE(z->isEmpty(), 0, "Reshape: when input is empty, output must also be empty");
+        return Status::OK();    //No op
+    }
+
+    REQUIRE_TRUE(x->lengthOf() == z->lengthOf(), 0, "Reshape: lengths before and after reshape should match, but got %i vs %i", x->lengthOf(), z->lengthOf());
+
+    if (Environment::getInstance().isDebugAndVerbose())
+        nd4j_printv("Reshape: new shape", z->getShapeAsVector());
+
+    z->assign(x->reshape(z->ordering(), z->getShapeAsVector()));
+
+    return Status::OK();
+}
+
+
+DECLARE_TYPES(flatten_2d) {
+    getOpDescriptor()
+            ->setAllowedInputTypes(0, sd::DataType::ANY)
+            ->setAllowedInputTypes(1, {ALL_INTS})
+            ->setSameMode(true);
+}
+
+DECLARE_SHAPE_FN(flatten_2d) {
+
+    const auto x = INPUT_VARIABLE(0);
+    const auto shape = x->shapeOf();
+     auto axis = INT_ARG(0);
+    if(axis < 0) {
+        axis += x->rankOf();
+    }
+    std::vector reshapeArgs;
+    std::vector shapeNew;
+    auto firstDim = 1;
+    auto lastDim = 1;
+    for(int i = 0; i < axis; i++) {
+        firstDim *= shape[i];
+    }
+
+    for(int i = axis; i < x->rankOf(); i++) {
+        lastDim *= shape[i];
+    }
+
+    shapeNew.push_back(firstDim);
+    shapeNew.push_back(lastDim);
+    nd4j_printf("Shape %d %d\n",firstDim,lastDim);
+    auto len = shape::prodLong(shapeNew.data(), shapeNew.size());
+    REQUIRE_TRUE(x->lengthOf() == len, 0, "Reshape: lengths before and after reshape should match, but got %i vs %i", x->lengthOf(), len);
+
+    return SHAPELIST(ConstantShapeHelper::getInstance().createShapeInfo(x->dataType(), x->ordering(), shapeNew));
+}
+}
+}
+
+#endif
\ No newline at end of file
diff --git a/libnd4j/include/ops/declarable/generic/shape/order.cpp b/libnd4j/include/ops/declarable/generic/shape/order.cpp
index 2d7e0994c..531915cef 100644
--- a/libnd4j/include/ops/declarable/generic/shape/order.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/order.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/permute.cpp b/libnd4j/include/ops/declarable/generic/shape/permute.cpp
index f612aec92..f25bdd220 100644
--- a/libnd4j/include/ops/declarable/generic/shape/permute.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/permute.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/rank.cpp b/libnd4j/include/ops/declarable/generic/shape/rank.cpp
index d12e15239..a6354daa3 100644
--- a/libnd4j/include/ops/declarable/generic/shape/rank.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/rank.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/reshape.cpp b/libnd4j/include/ops/declarable/generic/shape/reshape.cpp
index 38bae587e..bca23c1cc 100644
--- a/libnd4j/include/ops/declarable/generic/shape/reshape.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/reshape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -20,151 +22,150 @@
 
 #include 
 #if NOT_EXCLUDED(OP_reshape)
-
 #include 
-
 namespace sd {
-namespace ops  {
+namespace ops {
 
 //////////////////////////////////////////////////////////////////////////
 // here iArgs is a vector with (optional) negative of order as first element:
 // ({-order, dim1, dim2, dim3, ...})
 CUSTOM_OP_IMPL(reshape, 1, 1, false, 0, -2) {
 
-    auto x = INPUT_VARIABLE(0);
-    auto z = OUTPUT_VARIABLE(0);
+  auto x = INPUT_VARIABLE(0);
+  auto z = OUTPUT_VARIABLE(0);
 
-    //Special case: empty.reshape() -> return empty
-    if (x->isEmpty()) {
-        REQUIRE_TRUE(z->isEmpty(), 0, "Reshape: when input is empty, output must also be empty");
-        return Status::OK();    //No op
-    }
+  // Special case: empty.reshape() -> return empty
+  if (x->isEmpty()) {
+    REQUIRE_TRUE(z->isEmpty(), 0,
+                 "Reshape: when input is empty, output must also be empty");
+    return Status::OK(); // No op
+  }
 
-    REQUIRE_TRUE(x->lengthOf() == z->lengthOf(), 0, "Reshape: lengths before and after reshape should match, but got %i vs %i", x->lengthOf(), z->lengthOf());
+  REQUIRE_TRUE(x->lengthOf() == z->lengthOf(), 0,
+               "Reshape: lengths before and after reshape should match, but "
+               "got %i vs %i",
+               x->lengthOf(), z->lengthOf());
 
-    if (Environment::getInstance().isDebugAndVerbose())
-        nd4j_printv("Reshape: new shape", z->getShapeAsVector());
+  if (Environment::getInstance().isDebugAndVerbose())
+    nd4j_printv("Reshape: new shape", z->getShapeAsVector());
 
-    z->assign(x->reshape(z->ordering(), z->getShapeAsVector()));
+  z->assign(x->reshape(z->ordering(), z->getShapeAsVector()));
 
-    return Status::OK();
+  return Status::OK();
 }
 
-
 DECLARE_TYPES(reshape) {
-    getOpDescriptor()
-            ->setAllowedInputTypes(0, sd::DataType::ANY)
-            ->setAllowedInputTypes(1, {ALL_INTS})
-            ->setSameMode(true);
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, sd::DataType::ANY)
+      ->setAllowedInputTypes(1, {ALL_INTS})
+      ->setSameMode(true);
 }
 
 DECLARE_SHAPE_FN(reshape) {
 
-    const auto x = INPUT_VARIABLE(0);
+  const auto x = INPUT_VARIABLE(0);
 
-    std::vector reshapeArgs;
-    std::vector shapeNew;
-    char orderNew = 'c';
+  std::vector reshapeArgs;
+  std::vector shapeNew;
+  char orderNew = 'c';
+  /**
+   * NOTE: The value here is negative as a flag.
+   * A negative value signifies 1 of 3 values:
+   * -1 -> dynamic shape
+   * -99 -> c ordering
+   * -102 -> f ordering
+   *
+   */
+  if (block.width() == 1) {
+    reshapeArgs = *block.getIArguments();
+    if (!reshapeArgs.empty()) {
+      char potentialOrdering = (char)-reshapeArgs[0];
+      orderNew = potentialOrdering;
+      if (potentialOrdering != 'c' && potentialOrdering != 'f') {
+        throw std::runtime_error(
+            "reshape:: Value passed in must be -99 or -102 for the ordering if "
+            "an int array is present. -99 represents c ordering and -102 "
+            "represents f ordering. This number is negative for the long array "
+            "case to flag the difference between an ordering and a dimension "
+            "being specified.");
+      }
 
-    if (block.width() == 1) {
-        reshapeArgs = *block.getIArguments();
-        if(!reshapeArgs.empty()) {
-            orderNew = (char) -reshapeArgs[0];
-            if(orderNew == 'c' || orderNew == 'f')
-                reshapeArgs.erase(reshapeArgs.begin());   // remove first element being order in this case
-        }
+      nd4j_debug("Reshape Ordering is %c int ordering is %d\n", orderNew,
+                 -reshapeArgs[0]);
+
+      if (orderNew == 'c' || orderNew == 'f')
+        reshapeArgs.erase(
+            reshapeArgs
+                .begin()); // remove first element being order in this case
     }
-    else {
-        reshapeArgs = INPUT_VARIABLE(1)->getBufferAsVector();
-        orderNew = block.numI() > 0 ? (char) -INT_ARG(0) : 'c';
+  } else {
+    reshapeArgs = INPUT_VARIABLE(1)->getBufferAsVector();
+    if (block.numI() > 0) {
+      // Note here that the ordering for this case can not be negative.
+      // Negative is used in the long array case to be used as a flag to
+      // differntiate between a 99 or 102 shaped array and
+      // the ordering. You can't have a -99 or -102 shaped array.
+      char potentialOrdering = (char)reshapeArgs[0];
+      if (potentialOrdering != 'c' && potentialOrdering != 'f') {
+        throw std::runtime_error(
+            "reshape:: Value passed in must be -99 or -102 for the ordering if "
+            "an int array is present. -99 represents c ordering and -102 "
+            "represents f ordering.");
+      }
+
+      orderNew = potentialOrdering;
+    } else
+      orderNew = 'c';
+  }
+
+  REQUIRE_TRUE(!reshapeArgs.empty() || x->lengthOf() == 1, 0,
+               "Reshape buffer should have at least 1 dimension !");
+
+  Nd4jLong newShapeLen = 1;
+  int pos = -1;
+  bool newShapeEmpty = false;
+
+  for (int i = 0; i < reshapeArgs.size(); ++i) {
+    const int dim = reshapeArgs[i];
+    if (dim == -1) {
+      REQUIRE_TRUE(pos == -1, 0,
+                   "Reshape : Only one unknown dimension (-1) is allowed.");
+      pos = i;
+      shapeNew.push_back(1);
+    } else if (dim == 0) {
+      shapeNew.push_back(0);
+      newShapeEmpty = true;
+    } else {
+      shapeNew.push_back(dim);
+      newShapeLen *= dim;
+    }
+  }
+
+  if (pos != -1) {
+
+    Nd4jLong xLen = x->lengthOf();
+    if (x->isEmpty()) {
+      xLen = 1;
+      for (uint i = 0; i < x->rankOf();
+           ++i) // take into account possible empty shapes
+        if (x->sizeAt(i) > 0 || !newShapeEmpty)
+          xLen *= x->sizeAt(i);
     }
 
-    REQUIRE_TRUE(!reshapeArgs.empty() || x->lengthOf() == 1, 0, "Reshape buffer should have at least 1 dimension !");
+    shapeNew[pos] = xLen / newShapeLen;
+  }
 
-    // Nd4jLong xLen = x->lengthOf();
-    // if(x->isEmpty()) {
-    //     xLen = 1;
-    //     for (uint i = 0; i < x->rankOf(); ++i)                            // take into account possible empty shapes
-    //         if(x->sizeAt(i) != 0)
-    //             xLen *= x->sizeAt(i);
-    // }
+  auto len = shape::prodLong(shapeNew.data(), shapeNew.size());
+  REQUIRE_TRUE(x->lengthOf() == len, 0,
+               "Reshape: lengths before and after reshape should match, but "
+               "got %i vs %i",
+               x->lengthOf(), len);
 
-    // for (uint i = 0; i < reshapeArgs.size(); ++i) {
-
-    //     if (reshapeArgs[i] == -1) {
-
-    //         uint shapeLength = 1, numOfZeros = 0;
-
-    //         for(uint j = 0; j < i; ++j)
-    //             if(reshapeArgs[j] != 0)
-    //                 shapeLength *= reshapeArgs[j];
-    //             else
-    //                 ++numOfZeros;
-
-    //         for(uint j = i + 1; j < reshapeArgs.size(); ++j) {
-    //             REQUIRE_TRUE(reshapeArgs[j] != -1, 0, "Reshape : Only one unknown dimension (-1) is allowed.");
-    //             if(reshapeArgs[j] != 0)
-    //                 shapeLength *= reshapeArgs[j];
-    //             else
-    //                 ++numOfZeros;
-    //         }
-
-    //         const auto dim = xLen / shapeLength;
-
-    //         if(x->isEmpty() && (1 == dim || 0 == numOfZeros))
-    //             shapeNew.push_back(0);
-    //         else
-    //             shapeNew.push_back(dim);
-    //     }
-    //     else
-    //         shapeNew.push_back(reshapeArgs[i]);
-    // }
-
-    Nd4jLong newShapeLen = 1;
-    int pos = -1;
-    bool newShapeEmpty = false;
-
-    for (int i = 0; i < reshapeArgs.size(); ++i) {
-
-        const int dim = reshapeArgs[i];
-
-        if (dim == -1) {
-            REQUIRE_TRUE(pos == -1, 0, "Reshape : Only one unknown dimension (-1) is allowed.");
-            pos = i;
-            shapeNew.push_back(1);
-        }
-        else if (dim == 0) {
-            shapeNew.push_back(0);
-            newShapeEmpty = true;
-        }
-        else {
-            shapeNew.push_back(dim);
-            newShapeLen *= dim;
-        }
-    }
-
-    if (pos != -1) {
-
-        Nd4jLong xLen = x->lengthOf();
-        if(x->isEmpty()) {
-            xLen = 1;
-            for (uint i = 0; i < x->rankOf(); ++i)                            // take into account possible empty shapes
-                if(x->sizeAt(i) > 0 || !newShapeEmpty)
-                    xLen *= x->sizeAt(i);
-        }
-
-        shapeNew[pos] = xLen / newShapeLen;
-    }
-
-    auto len = shape::prodLong(shapeNew.data(), shapeNew.size());
-    REQUIRE_TRUE(x->lengthOf() == len, 0, "Reshape: lengths before and after reshape should match, but got %i vs %i", x->lengthOf(), len);
-
-    return SHAPELIST(ConstantShapeHelper::getInstance().createShapeInfo(x->dataType(), orderNew, shapeNew));
+  return SHAPELIST(ConstantShapeHelper::getInstance().createShapeInfo(
+      x->dataType(), orderNew, shapeNew));
 }
 
-
-
-}
-}
+} // namespace ops
+} // namespace sd
 
 #endif
\ No newline at end of file
diff --git a/libnd4j/include/ops/declarable/generic/shape/reshape_as.cpp b/libnd4j/include/ops/declarable/generic/shape/reshape_as.cpp
index 9a8dc00c2..811755447 100644
--- a/libnd4j/include/ops/declarable/generic/shape/reshape_as.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/reshape_as.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/shape.cpp b/libnd4j/include/ops/declarable/generic/shape/shape.cpp
index 098825df3..e570e64aa 100644
--- a/libnd4j/include/ops/declarable/generic/shape/shape.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/shape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/shapes.cpp b/libnd4j/include/ops/declarable/generic/shape/shapes.cpp
index 3f5428122..c767e179c 100644
--- a/libnd4j/include/ops/declarable/generic/shape/shapes.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/shapes.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/size.cpp b/libnd4j/include/ops/declarable/generic/shape/size.cpp
index c30ed1b58..771c4e83e 100644
--- a/libnd4j/include/ops/declarable/generic/shape/size.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/size.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/size_at.cpp b/libnd4j/include/ops/declarable/generic/shape/size_at.cpp
index 46491e688..fc2ad37a0 100644
--- a/libnd4j/include/ops/declarable/generic/shape/size_at.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/size_at.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/squeeze.cpp b/libnd4j/include/ops/declarable/generic/shape/squeeze.cpp
index 5698f957f..d4131b1d6 100644
--- a/libnd4j/include/ops/declarable/generic/shape/squeeze.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/squeeze.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/tile_to_shape.cpp b/libnd4j/include/ops/declarable/generic/shape/tile_to_shape.cpp
index ec0476e04..cc5dd76ba 100644
--- a/libnd4j/include/ops/declarable/generic/shape/tile_to_shape.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/tile_to_shape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/shape/transpose.cpp b/libnd4j/include/ops/declarable/generic/shape/transpose.cpp
index 0b12f415f..c53cc5dfc 100644
--- a/libnd4j/include/ops/declarable/generic/shape/transpose.cpp
+++ b/libnd4j/include/ops/declarable/generic/shape/transpose.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/strings/split_string.cpp b/libnd4j/include/ops/declarable/generic/strings/split_string.cpp
index e42591b5c..f94ccfe15 100644
--- a/libnd4j/include/ops/declarable/generic/strings/split_string.cpp
+++ b/libnd4j/include/ops/declarable/generic/strings/split_string.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tensor/create.cpp b/libnd4j/include/ops/declarable/generic/tensor/create.cpp
index c692a74d8..4028c9815 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/create.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/create.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tensor/fill.cpp b/libnd4j/include/ops/declarable/generic/tensor/fill.cpp
index 81cece901..a7e0247b4 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/fill.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/fill.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tensor/fill_as.cpp b/libnd4j/include/ops/declarable/generic/tensor/fill_as.cpp
index f2d74572d..757a0d957 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/fill_as.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/fill_as.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -29,7 +31,7 @@ namespace sd {
             auto output = OUTPUT_VARIABLE(0);
 
             if (block.width() > 1) {
-                auto s = INPUT_VARIABLE(1);
+                auto s = INPUT_VARIABLE(0);
                 output->assign(s);
             } else if (block.numT() > 0) {
                 output->assign(T_ARG(0));
diff --git a/libnd4j/include/ops/declarable/generic/tensor/lin_space.cpp b/libnd4j/include/ops/declarable/generic/tensor/lin_space.cpp
index 97f7b390f..a81927778 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/lin_space.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/lin_space.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tensor/ones_as.cpp b/libnd4j/include/ops/declarable/generic/tensor/ones_as.cpp
index 0fb8fe283..2d93eaace 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/ones_as.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/ones_as.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tensor/range.cpp b/libnd4j/include/ops/declarable/generic/tensor/range.cpp
index 2f88b819b..8dab1d7a1 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/range.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/range.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tensor/strided_slice.cpp b/libnd4j/include/ops/declarable/generic/tensor/strided_slice.cpp
index bbdc84ce5..2ca678327 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/strided_slice.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/strided_slice.cpp
@@ -1,17 +1,22 @@
-/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 #include 
 #if NOT_EXCLUDED(OP_strided_slice)
@@ -302,7 +307,7 @@ namespace sd {
         CUSTOM_OP_IMPL(strided_slice, 1, 1, false, 0, 5) {
             auto x = INPUT_VARIABLE(0);
             auto z = OUTPUT_VARIABLE(0);
-            if (z->isEmpty()) {
+            if (z->isEmpty() || z->lengthOf() == 0) {
                 return ND4J_STATUS_OK;
             }
 
@@ -430,7 +435,7 @@ namespace sd {
 
                 RELEASE(subArrShapeInfo,  block.getWorkspace());
             }
-            else if (!z->isEmpty()){
+            else if (!z->isEmpty()) {
                 z->assign(x->e(0));
             }
             return Status::OK();
@@ -469,7 +474,7 @@ namespace sd {
                 for (int e = 5; e < block.getIArguments()->size(); e++)
                     args.emplace_back(INT_ARG(e));
 
-                // FIXME: propably template required here
+                // FIXME: probably template required here
                 ShapeUtils::copyVectorPart(begin, args, elements, 0);
                 ShapeUtils::copyVectorPart(end, args, elements, elements);
                 ShapeUtils::copyVectorPart(strides, args, elements, elements * 2);
@@ -526,9 +531,11 @@ namespace sd {
 //                } else {
 //                    newShape = ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inShape));
 //                }
+                nd4j_printf("Returning new shape %d\n",0);
                 return SHAPELIST(newShape);
             }
 
+            nd4j_printf("Returning empty shape info %d\n",0);
             return SHAPELIST(ConstantShapeHelper::getInstance().emptyShapeInfo(ArrayOptions::dataType(inShape)));
         }
 
diff --git a/libnd4j/include/ops/declarable/generic/tensor/zeros_as.cpp b/libnd4j/include/ops/declarable/generic/tensor/zeros_as.cpp
index 7935c567e..2cebac7af 100644
--- a/libnd4j/include/ops/declarable/generic/tensor/zeros_as.cpp
+++ b/libnd4j/include/ops/declarable/generic/tensor/zeros_as.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tests/noop.cpp b/libnd4j/include/ops/declarable/generic/tests/noop.cpp
index 37980c7e6..f1b1f6b93 100644
--- a/libnd4j/include/ops/declarable/generic/tests/noop.cpp
+++ b/libnd4j/include/ops/declarable/generic/tests/noop.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tests/test_output_reshape.cpp b/libnd4j/include/ops/declarable/generic/tests/test_output_reshape.cpp
index 7ded29e20..2feaaf640 100644
--- a/libnd4j/include/ops/declarable/generic/tests/test_output_reshape.cpp
+++ b/libnd4j/include/ops/declarable/generic/tests/test_output_reshape.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tests/test_scalar.cpp b/libnd4j/include/ops/declarable/generic/tests/test_scalar.cpp
index e67122b05..6b41a3449 100644
--- a/libnd4j/include/ops/declarable/generic/tests/test_scalar.cpp
+++ b/libnd4j/include/ops/declarable/generic/tests/test_scalar.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tests/testcustom.cpp b/libnd4j/include/ops/declarable/generic/tests/testcustom.cpp
index e8d7fc6c3..68233f87e 100644
--- a/libnd4j/include/ops/declarable/generic/tests/testcustom.cpp
+++ b/libnd4j/include/ops/declarable/generic/tests/testcustom.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tests/testop2i2o.cpp b/libnd4j/include/ops/declarable/generic/tests/testop2i2o.cpp
index f4d4d3159..7827a4314 100644
--- a/libnd4j/include/ops/declarable/generic/tests/testop2i2o.cpp
+++ b/libnd4j/include/ops/declarable/generic/tests/testop2i2o.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tests/testreduction.cpp b/libnd4j/include/ops/declarable/generic/tests/testreduction.cpp
index a0749ed7f..eb846e9ba 100644
--- a/libnd4j/include/ops/declarable/generic/tests/testreduction.cpp
+++ b/libnd4j/include/ops/declarable/generic/tests/testreduction.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/thrid_party/firas_sparse.cpp b/libnd4j/include/ops/declarable/generic/thrid_party/firas_sparse.cpp
index 3a115b8db..75ff6bf72 100644
--- a/libnd4j/include/ops/declarable/generic/thrid_party/firas_sparse.cpp
+++ b/libnd4j/include/ops/declarable/generic/thrid_party/firas_sparse.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/batch_to_space.cpp b/libnd4j/include/ops/declarable/generic/transforms/batch_to_space.cpp
index 0ffad12a2..25a8878b9 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/batch_to_space.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/batch_to_space.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/batch_to_space_nd.cpp b/libnd4j/include/ops/declarable/generic/transforms/batch_to_space_nd.cpp
index 1ae1a2e61..7fd593907 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/batch_to_space_nd.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/batch_to_space_nd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/clip_by_averaged_norm.cpp b/libnd4j/include/ops/declarable/generic/transforms/clip_by_averaged_norm.cpp
index a7340bf21..fa040e2a1 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/clip_by_averaged_norm.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/clip_by_averaged_norm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/clip_by_global_norm.cpp b/libnd4j/include/ops/declarable/generic/transforms/clip_by_global_norm.cpp
index 7758cf298..e3be28ffd 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/clip_by_global_norm.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/clip_by_global_norm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/clip_by_norm.cpp b/libnd4j/include/ops/declarable/generic/transforms/clip_by_norm.cpp
index 75145f7cc..c8003e09b 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/clip_by_norm.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/clip_by_norm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/clip_by_value.cpp b/libnd4j/include/ops/declarable/generic/transforms/clip_by_value.cpp
index 4275e4837..74c1c594f 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/clip_by_value.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/clip_by_value.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/concat.cpp b/libnd4j/include/ops/declarable/generic/transforms/concat.cpp
index 6c0901201..fb05b681b 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/concat.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/concat.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/cumprod.cpp b/libnd4j/include/ops/declarable/generic/transforms/cumprod.cpp
index c0b011f99..62a0eb112 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/cumprod.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/cumprod.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/cumsum.cpp b/libnd4j/include/ops/declarable/generic/transforms/cumsum.cpp
index 97389fddb..b09794a57 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/cumsum.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/cumsum.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/depth_to_space.cpp b/libnd4j/include/ops/declarable/generic/transforms/depth_to_space.cpp
index cb966472f..1b8782ea5 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/depth_to_space.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/depth_to_space.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/dynamic_parititon.cpp b/libnd4j/include/ops/declarable/generic/transforms/dynamic_parititon.cpp
index 6a055c02c..32bdf8da2 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/dynamic_parititon.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/dynamic_parititon.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/dynamic_stitch.cpp b/libnd4j/include/ops/declarable/generic/transforms/dynamic_stitch.cpp
index d3c419b55..4f71bd8dd 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/dynamic_stitch.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/dynamic_stitch.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/floor.cpp b/libnd4j/include/ops/declarable/generic/transforms/floor.cpp
index 984708de5..86ebf7fb7 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/floor.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/floor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/gather.cpp b/libnd4j/include/ops/declarable/generic/transforms/gather.cpp
index a979c5abd..bfdb937f8 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/gather.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/gather.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/gatherNd.cpp b/libnd4j/include/ops/declarable/generic/transforms/gatherNd.cpp
index 30b5b19ef..731ea4df6 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/gatherNd.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/gatherNd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/hashcode.cpp b/libnd4j/include/ops/declarable/generic/transforms/hashcode.cpp
index 0ef9d71ce..975565f7d 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/hashcode.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/hashcode.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/histogram.cpp b/libnd4j/include/ops/declarable/generic/transforms/histogram.cpp
index e08fcdbf5..007415ec4 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/histogram.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/histogram.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/histogram_fixed_width.cpp b/libnd4j/include/ops/declarable/generic/transforms/histogram_fixed_width.cpp
index 208baa5a9..ddc213a15 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/histogram_fixed_width.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/histogram_fixed_width.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/invertPermutation.cpp b/libnd4j/include/ops/declarable/generic/transforms/invertPermutation.cpp
index 3814106cf..835349705 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/invertPermutation.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/invertPermutation.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/merge_add.cpp b/libnd4j/include/ops/declarable/generic/transforms/merge_add.cpp
index 0fade28bf..36b563b1e 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/merge_add.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/merge_add.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/merge_avg.cpp b/libnd4j/include/ops/declarable/generic/transforms/merge_avg.cpp
index 2ea0d501b..28347a554 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/merge_avg.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/merge_avg.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/merge_max.cpp b/libnd4j/include/ops/declarable/generic/transforms/merge_max.cpp
index e95092f38..101913147 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/merge_max.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/merge_max.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/merge_max_idx.cpp b/libnd4j/include/ops/declarable/generic/transforms/merge_max_idx.cpp
index 3c76450aa..3570a0837 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/merge_max_idx.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/merge_max_idx.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/mirrorPad.cpp b/libnd4j/include/ops/declarable/generic/transforms/mirrorPad.cpp
index 403272530..0e1b87db6 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/mirrorPad.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/mirrorPad.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/pad.cpp b/libnd4j/include/ops/declarable/generic/transforms/pad.cpp
index d09063a95..da2ff51bb 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/pad.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/pad.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/parallelStack.cpp b/libnd4j/include/ops/declarable/generic/transforms/parallelStack.cpp
index 46572d88e..4a6381e48 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/parallelStack.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/parallelStack.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/repeat.cpp b/libnd4j/include/ops/declarable/generic/transforms/repeat.cpp
index b02f7010c..bdc806155 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/repeat.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/repeat.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/reverse.cpp b/libnd4j/include/ops/declarable/generic/transforms/reverse.cpp
index e8f659c5d..5720bccb2 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/reverse.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/reverse.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/reverseSequence.cpp b/libnd4j/include/ops/declarable/generic/transforms/reverseSequence.cpp
index c7dcc6e36..106a1f01d 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/reverseSequence.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/reverseSequence.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_add.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_add.cpp
index e624afeb1..06ca48d45 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_add.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_add.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_div.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_div.cpp
index fd0b2a730..f70cf9b31 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_div.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_div.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_max.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_max.cpp
index b3342c5a5..fc86af157 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_max.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_max.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_min.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_min.cpp
index d37adb692..56b8d155b 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_min.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_min.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_mul.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_mul.cpp
index 9bf5be748..1dcef2e08 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_mul.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_mul.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd.cpp
index 7c2194c6c..98bed24f7 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_add.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_add.cpp
index 8fb4288ee..63227aff7 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_add.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_add.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_sub.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_sub.cpp
index 6cfa5d046..207dbbc6f 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_sub.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_sub.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_update.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_update.cpp
index b6122c724..0136d31ef 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_update.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_update.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_sub.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_sub.cpp
index c955ac042..c3aa2ef41 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_sub.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_sub.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_upd.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_upd.cpp
index ef54b9813..b9c0a661b 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_upd.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_upd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/scatter_update.cpp b/libnd4j/include/ops/declarable/generic/transforms/scatter_update.cpp
index d15b4c859..d5ed3552c 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/scatter_update.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/scatter_update.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/slice.cpp b/libnd4j/include/ops/declarable/generic/transforms/slice.cpp
index 822f48681..d9f9e3b8b 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/slice.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/slice.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/space_to_batch.cpp b/libnd4j/include/ops/declarable/generic/transforms/space_to_batch.cpp
index ffffb5396..c84125d72 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/space_to_batch.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/space_to_batch.cpp
@@ -1,17 +1,24 @@
-/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+// Copyright 2016 The TensorFlow Authors. All Rights Reserved.
 
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
+/* ******************************************************************************
+ *
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
+ * https://www.apache.org/licenses/LICENSE-2.0.
+ *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ ******************************************************************************/
 
-    http://www.apache.org/licenses/LICENSE-2.0
 
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/generic/transforms/space_to_batch_nd.cpp b/libnd4j/include/ops/declarable/generic/transforms/space_to_batch_nd.cpp
index 5adc35ee6..5c59c25bb 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/space_to_batch_nd.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/space_to_batch_nd.cpp
@@ -1,17 +1,23 @@
-/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
 
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
+//Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+/* ******************************************************************************
+ *
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
+ * https://www.apache.org/licenses/LICENSE-2.0.
+ *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ ******************************************************************************/
 
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
 //
diff --git a/libnd4j/include/ops/declarable/generic/transforms/space_to_depth.cpp b/libnd4j/include/ops/declarable/generic/transforms/space_to_depth.cpp
index 7e108028a..543800ad1 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/space_to_depth.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/space_to_depth.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/split.cpp b/libnd4j/include/ops/declarable/generic/transforms/split.cpp
index 3fb925dfc..d8710d2a8 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/split.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/split.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/split_v.cpp b/libnd4j/include/ops/declarable/generic/transforms/split_v.cpp
index decda2e2d..f1d3ef9dc 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/split_v.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/split_v.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/stack.cpp b/libnd4j/include/ops/declarable/generic/transforms/stack.cpp
index af03d5ef1..8a01f51a9 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/stack.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/stack.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/standardize.cpp b/libnd4j/include/ops/declarable/generic/transforms/standardize.cpp
index f4e8a6f7a..a4bb69442 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/standardize.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/standardize.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Paul Dubs
diff --git a/libnd4j/include/ops/declarable/generic/transforms/tear.cpp b/libnd4j/include/ops/declarable/generic/transforms/tear.cpp
index b2292e2b9..8bafd3546 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/tear.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/tear.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/tile.cpp b/libnd4j/include/ops/declarable/generic/transforms/tile.cpp
index e8a502e74..0585a745c 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/tile.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/tile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/transforms/unstack.cpp b/libnd4j/include/ops/declarable/generic/transforms/unstack.cpp
index 0dfe1e54c..0a3fc2259 100644
--- a/libnd4j/include/ops/declarable/generic/transforms/unstack.cpp
+++ b/libnd4j/include/ops/declarable/generic/transforms/unstack.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tsne/cell_contains.cpp b/libnd4j/include/ops/declarable/generic/tsne/cell_contains.cpp
index e176797b0..60b2f22f5 100644
--- a/libnd4j/include/ops/declarable/generic/tsne/cell_contains.cpp
+++ b/libnd4j/include/ops/declarable/generic/tsne/cell_contains.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tsne/edge_force.cpp b/libnd4j/include/ops/declarable/generic/tsne/edge_force.cpp
index 64be499fb..be99a4793 100644
--- a/libnd4j/include/ops/declarable/generic/tsne/edge_force.cpp
+++ b/libnd4j/include/ops/declarable/generic/tsne/edge_force.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tsne/gains.cpp b/libnd4j/include/ops/declarable/generic/tsne/gains.cpp
index 4fb943483..e157378c5 100644
--- a/libnd4j/include/ops/declarable/generic/tsne/gains.cpp
+++ b/libnd4j/include/ops/declarable/generic/tsne/gains.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/tsne/symmetrized.cpp b/libnd4j/include/ops/declarable/generic/tsne/symmetrized.cpp
index cf3675122..41b99eb8d 100644
--- a/libnd4j/include/ops/declarable/generic/tsne/symmetrized.cpp
+++ b/libnd4j/include/ops/declarable/generic/tsne/symmetrized.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/updaters/adaDeltaUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/adaDeltaUpdater.cpp
index 93f01ae1f..5dbb04fa3 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/adaDeltaUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/adaDeltaUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/adaGradUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/adaGradUpdater.cpp
index 4cd5b0504..6651a170c 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/adaGradUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/adaGradUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/adaMaxUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/adaMaxUpdater.cpp
index 9f4bb574b..5ec9c87a3 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/adaMaxUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/adaMaxUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/adamUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/adamUpdater.cpp
index 96386c45b..60c4ea3c6 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/adamUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/adamUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/amsGradUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/amsGradUpdater.cpp
index 32084d970..1c6958954 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/amsGradUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/amsGradUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/nadamUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/nadamUpdater.cpp
index 4d5e4e12e..37508984d 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/nadamUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/nadamUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/nesterovsUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/nesterovsUpdater.cpp
index bcbefe36b..ff9c55f21 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/nesterovsUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/nesterovsUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/rmsPropUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/rmsPropUpdater.cpp
index a611a4fbe..37ce3a301 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/rmsPropUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/rmsPropUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/updaters/sgdUpdater.cpp b/libnd4j/include/ops/declarable/generic/updaters/sgdUpdater.cpp
index 491d7b53e..b9f84086a 100644
--- a/libnd4j/include/ops/declarable/generic/updaters/sgdUpdater.cpp
+++ b/libnd4j/include/ops/declarable/generic/updaters/sgdUpdater.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/generic/util/print_affinity.cpp b/libnd4j/include/ops/declarable/generic/util/print_affinity.cpp
index f7a758af6..3226b74ba 100644
--- a/libnd4j/include/ops/declarable/generic/util/print_affinity.cpp
+++ b/libnd4j/include/ops/declarable/generic/util/print_affinity.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/generic/util/print_variable.cpp b/libnd4j/include/ops/declarable/generic/util/print_variable.cpp
index 74ff99fd2..766c42e05 100644
--- a/libnd4j/include/ops/declarable/generic/util/print_variable.cpp
+++ b/libnd4j/include/ops/declarable/generic/util/print_variable.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/BarnesHutTsne.h b/libnd4j/include/ops/declarable/headers/BarnesHutTsne.h
index 3f0d86e19..0466c18c5 100644
--- a/libnd4j/include/ops/declarable/headers/BarnesHutTsne.h
+++ b/libnd4j/include/ops/declarable/headers/BarnesHutTsne.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/activations.h b/libnd4j/include/ops/declarable/headers/activations.h
index db9e8186a..08aa60c58 100644
--- a/libnd4j/include/ops/declarable/headers/activations.h
+++ b/libnd4j/include/ops/declarable/headers/activations.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/bitwise.h b/libnd4j/include/ops/declarable/headers/bitwise.h
index b5f29896f..709983d5f 100644
--- a/libnd4j/include/ops/declarable/headers/bitwise.h
+++ b/libnd4j/include/ops/declarable/headers/bitwise.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/blas.h b/libnd4j/include/ops/declarable/headers/blas.h
index 6fd5a3894..7427b564a 100644
--- a/libnd4j/include/ops/declarable/headers/blas.h
+++ b/libnd4j/include/ops/declarable/headers/blas.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/boolean.h b/libnd4j/include/ops/declarable/headers/boolean.h
index 75e95f630..62dad5c92 100644
--- a/libnd4j/include/ops/declarable/headers/boolean.h
+++ b/libnd4j/include/ops/declarable/headers/boolean.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/broadcastable.h b/libnd4j/include/ops/declarable/headers/broadcastable.h
index 7380412a4..e21ab14af 100644
--- a/libnd4j/include/ops/declarable/headers/broadcastable.h
+++ b/libnd4j/include/ops/declarable/headers/broadcastable.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/common.h b/libnd4j/include/ops/declarable/headers/common.h
index d70e6beb8..7ad116747 100644
--- a/libnd4j/include/ops/declarable/headers/common.h
+++ b/libnd4j/include/ops/declarable/headers/common.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/compat.h b/libnd4j/include/ops/declarable/headers/compat.h
index 37894517a..de34e560a 100644
--- a/libnd4j/include/ops/declarable/headers/compat.h
+++ b/libnd4j/include/ops/declarable/headers/compat.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/compression.h b/libnd4j/include/ops/declarable/headers/compression.h
index 9c177f8a4..5d74be90d 100644
--- a/libnd4j/include/ops/declarable/headers/compression.h
+++ b/libnd4j/include/ops/declarable/headers/compression.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/headers/convo.h b/libnd4j/include/ops/declarable/headers/convo.h
index d00da07f2..7e12b0281 100644
--- a/libnd4j/include/ops/declarable/headers/convo.h
+++ b/libnd4j/include/ops/declarable/headers/convo.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/datatypes.h b/libnd4j/include/ops/declarable/headers/datatypes.h
index e46753919..50f07f0d7 100644
--- a/libnd4j/include/ops/declarable/headers/datatypes.h
+++ b/libnd4j/include/ops/declarable/headers/datatypes.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/images.h b/libnd4j/include/ops/declarable/headers/images.h
index aa2114540..5e079a0b1 100644
--- a/libnd4j/include/ops/declarable/headers/images.h
+++ b/libnd4j/include/ops/declarable/headers/images.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/kernels.h b/libnd4j/include/ops/declarable/headers/kernels.h
index c4cc02cb5..a586cadf0 100644
--- a/libnd4j/include/ops/declarable/headers/kernels.h
+++ b/libnd4j/include/ops/declarable/headers/kernels.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/list.h b/libnd4j/include/ops/declarable/headers/list.h
index af4fb5706..09469c8b5 100644
--- a/libnd4j/include/ops/declarable/headers/list.h
+++ b/libnd4j/include/ops/declarable/headers/list.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/loss.h b/libnd4j/include/ops/declarable/headers/loss.h
index 3f3625040..2e4018096 100644
--- a/libnd4j/include/ops/declarable/headers/loss.h
+++ b/libnd4j/include/ops/declarable/headers/loss.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/nlp.h b/libnd4j/include/ops/declarable/headers/nlp.h
index e12db1402..e6e0b62d2 100644
--- a/libnd4j/include/ops/declarable/headers/nlp.h
+++ b/libnd4j/include/ops/declarable/headers/nlp.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/nn.h b/libnd4j/include/ops/declarable/headers/nn.h
index 26699aa32..da97fac01 100644
--- a/libnd4j/include/ops/declarable/headers/nn.h
+++ b/libnd4j/include/ops/declarable/headers/nn.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/parity_ops.h b/libnd4j/include/ops/declarable/headers/parity_ops.h
index 27c012214..b3363da9b 100644
--- a/libnd4j/include/ops/declarable/headers/parity_ops.h
+++ b/libnd4j/include/ops/declarable/headers/parity_ops.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/headers/random.h b/libnd4j/include/ops/declarable/headers/random.h
index 367a41995..b4ea89969 100644
--- a/libnd4j/include/ops/declarable/headers/random.h
+++ b/libnd4j/include/ops/declarable/headers/random.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
@@ -47,7 +50,7 @@ namespace sd {
          *    0 - uniformly distributed values of given type (between min and max)
          */
         #if NOT_EXCLUDED(OP_randomuniform)
-        DECLARE_CUSTOM_OP(randomuniform, 1, 1, false, 0, 0);
+        DECLARE_CUSTOM_OP(randomuniform, 1, 1, false, 0, -1);
         #endif
         /*
          * multinomial (categorical) random generator draws samples from a multinomial distribution
diff --git a/libnd4j/include/ops/declarable/headers/recurrent.h b/libnd4j/include/ops/declarable/headers/recurrent.h
index aeeae24c4..4e4ce0ebe 100644
--- a/libnd4j/include/ops/declarable/headers/recurrent.h
+++ b/libnd4j/include/ops/declarable/headers/recurrent.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/shape.h b/libnd4j/include/ops/declarable/headers/shape.h
index 7f9330342..576e894cd 100644
--- a/libnd4j/include/ops/declarable/headers/shape.h
+++ b/libnd4j/include/ops/declarable/headers/shape.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -53,6 +55,10 @@ namespace sd {
         DECLARE_CUSTOM_OP(expand_dims, 1, 1, false, 0, -2);
         #endif
 
+        #if NOT_EXCLUDED(OP_flatten_2d)
+            DECLARE_CUSTOM_OP(flatten_2d, 1, 1, false, 0, 1);
+        #endif
+
         #if NOT_EXCLUDED(OP_reshape)
         DECLARE_CUSTOM_OP(reshape, 1, 1, false, 0, -2);
         #endif
@@ -92,7 +98,7 @@ namespace sd {
          *  shape array - array containing shape be broadcasted to
          */
         #if NOT_EXCLUDED(OP_broadcast_to)
-        DECLARE_CUSTOM_OP(broadcast_to, 2, 1, false, 0, 0);        
+        DECLARE_CUSTOM_OP(broadcast_to, 2, 1, false, 0, 0);
         #endif
 
 
diff --git a/libnd4j/include/ops/declarable/headers/strings.h b/libnd4j/include/ops/declarable/headers/strings.h
index bd4b8b949..127d868b1 100644
--- a/libnd4j/include/ops/declarable/headers/strings.h
+++ b/libnd4j/include/ops/declarable/headers/strings.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/tests.h b/libnd4j/include/ops/declarable/headers/tests.h
index cad12b3c8..63b266799 100644
--- a/libnd4j/include/ops/declarable/headers/tests.h
+++ b/libnd4j/include/ops/declarable/headers/tests.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/third_party.h b/libnd4j/include/ops/declarable/headers/third_party.h
index 705a02903..fb1e0d056 100644
--- a/libnd4j/include/ops/declarable/headers/third_party.h
+++ b/libnd4j/include/ops/declarable/headers/third_party.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/transforms.h b/libnd4j/include/ops/declarable/headers/transforms.h
index 3fe2f1223..7fbf0ac57 100644
--- a/libnd4j/include/ops/declarable/headers/transforms.h
+++ b/libnd4j/include/ops/declarable/headers/transforms.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/headers/updaters.h b/libnd4j/include/ops/declarable/headers/updaters.h
index dc08ff1f2..d8028821e 100644
--- a/libnd4j/include/ops/declarable/headers/updaters.h
+++ b/libnd4j/include/ops/declarable/headers/updaters.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/headers/util.h b/libnd4j/include/ops/declarable/headers/util.h
index 57b013f29..80adc03dd 100644
--- a/libnd4j/include/ops/declarable/headers/util.h
+++ b/libnd4j/include/ops/declarable/headers/util.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/BarnesHutTsne.h b/libnd4j/include/ops/declarable/helpers/BarnesHutTsne.h
index f52dd9ba4..2280b8f61 100644
--- a/libnd4j/include/ops/declarable/helpers/BarnesHutTsne.h
+++ b/libnd4j/include/ops/declarable/helpers/BarnesHutTsne.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/activations.h b/libnd4j/include/ops/declarable/helpers/activations.h
index ab652ab24..13403f2c0 100644
--- a/libnd4j/include/ops/declarable/helpers/activations.h
+++ b/libnd4j/include/ops/declarable/helpers/activations.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/addBias.h b/libnd4j/include/ops/declarable/helpers/addBias.h
index 8eff731f7..c94865798 100644
--- a/libnd4j/include/ops/declarable/helpers/addBias.h
+++ b/libnd4j/include/ops/declarable/helpers/addBias.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/adjust_hue.h b/libnd4j/include/ops/declarable/helpers/adjust_hue.h
index 2d0e2f087..8b5c4a9f5 100644
--- a/libnd4j/include/ops/declarable/helpers/adjust_hue.h
+++ b/libnd4j/include/ops/declarable/helpers/adjust_hue.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/adjust_saturation.h b/libnd4j/include/ops/declarable/helpers/adjust_saturation.h
index 25dc30f10..a4fd64bfa 100644
--- a/libnd4j/include/ops/declarable/helpers/adjust_saturation.h
+++ b/libnd4j/include/ops/declarable/helpers/adjust_saturation.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/axis.h b/libnd4j/include/ops/declarable/helpers/axis.h
index 76c5a070d..927cd1f0e 100644
--- a/libnd4j/include/ops/declarable/helpers/axis.h
+++ b/libnd4j/include/ops/declarable/helpers/axis.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/batched_gemm.h b/libnd4j/include/ops/declarable/helpers/batched_gemm.h
index 26651cf3c..629fe0a05 100644
--- a/libnd4j/include/ops/declarable/helpers/batched_gemm.h
+++ b/libnd4j/include/ops/declarable/helpers/batched_gemm.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/batchnorm.h b/libnd4j/include/ops/declarable/helpers/batchnorm.h
index 72bc69718..d6a7baee8 100644
--- a/libnd4j/include/ops/declarable/helpers/batchnorm.h
+++ b/libnd4j/include/ops/declarable/helpers/batchnorm.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/betaInc.h b/libnd4j/include/ops/declarable/helpers/betaInc.h
index 4c37d7c5d..af3eae36c 100644
--- a/libnd4j/include/ops/declarable/helpers/betaInc.h
+++ b/libnd4j/include/ops/declarable/helpers/betaInc.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/choose.h b/libnd4j/include/ops/declarable/helpers/choose.h
index 233c6b1ff..663b4a771 100644
--- a/libnd4j/include/ops/declarable/helpers/choose.h
+++ b/libnd4j/include/ops/declarable/helpers/choose.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/col2im.h b/libnd4j/include/ops/declarable/helpers/col2im.h
index 39a29da85..eccf12974 100644
--- a/libnd4j/include/ops/declarable/helpers/col2im.h
+++ b/libnd4j/include/ops/declarable/helpers/col2im.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/compare_elem.h b/libnd4j/include/ops/declarable/helpers/compare_elem.h
index 18faee328..13284beba 100644
--- a/libnd4j/include/ops/declarable/helpers/compare_elem.h
+++ b/libnd4j/include/ops/declarable/helpers/compare_elem.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/compression.h b/libnd4j/include/ops/declarable/helpers/compression.h
index b9c70a91b..ea5709355 100644
--- a/libnd4j/include/ops/declarable/helpers/compression.h
+++ b/libnd4j/include/ops/declarable/helpers/compression.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 //
 //  @author sgazeos@gmail.com
 //
diff --git a/libnd4j/include/ops/declarable/helpers/confusion.h b/libnd4j/include/ops/declarable/helpers/confusion.h
index a4d27be4f..fa6bf89f6 100644
--- a/libnd4j/include/ops/declarable/helpers/confusion.h
+++ b/libnd4j/include/ops/declarable/helpers/confusion.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/convolutions.h b/libnd4j/include/ops/declarable/helpers/convolutions.h
index eb41ae637..1c15fc297 100644
--- a/libnd4j/include/ops/declarable/helpers/convolutions.h
+++ b/libnd4j/include/ops/declarable/helpers/convolutions.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/BarnesHutTsne.cpp b/libnd4j/include/ops/declarable/helpers/cpu/BarnesHutTsne.cpp
index 97bdd5c89..2720f6935 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/BarnesHutTsne.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/BarnesHutTsne.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/activations.cpp b/libnd4j/include/ops/declarable/helpers/cpu/activations.cpp
index ccc4d676a..ac112657c 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/activations.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/activations.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/addBias.cpp b/libnd4j/include/ops/declarable/helpers/cpu/addBias.cpp
index aa86ea041..1210c1b01 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/addBias.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/addBias.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  // @author Yurii Shyrma, created on 26.02.2018
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/adjust_hue.cpp b/libnd4j/include/ops/declarable/helpers/cpu/adjust_hue.cpp
index 3f37666e7..3f187f705 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/adjust_hue.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/adjust_hue.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/adjust_saturation.cpp b/libnd4j/include/ops/declarable/helpers/cpu/adjust_saturation.cpp
index 63f26c90f..956fbf653 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/adjust_saturation.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/adjust_saturation.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/axis.cpp b/libnd4j/include/ops/declarable/helpers/cpu/axis.cpp
index 36f716630..ac74e6279 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/axis.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/axis.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/batched_gemm.cpp b/libnd4j/include/ops/declarable/helpers/cpu/batched_gemm.cpp
index 0c9338a8e..c56d7334a 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/batched_gemm.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/batched_gemm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/batchnorm.cpp b/libnd4j/include/ops/declarable/helpers/cpu/batchnorm.cpp
index 65c342d9c..2a1f3a710 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/batchnorm.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/batchnorm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/betaInc.cpp b/libnd4j/include/ops/declarable/helpers/cpu/betaInc.cpp
index 0056fec6d..a829fc128 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/betaInc.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/betaInc.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/clip.cpp b/libnd4j/include/ops/declarable/helpers/cpu/clip.cpp
index 2c2d9a111..6c32d952e 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/clip.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/clip.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/col2im.cpp b/libnd4j/include/ops/declarable/helpers/cpu/col2im.cpp
index 42d4af529..00f1e119c 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/col2im.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/col2im.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compare_elem.cpp b/libnd4j/include/ops/declarable/helpers/cpu/compare_elem.cpp
index 32dc3d7c7..cd02e2703 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compare_elem.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compare_elem.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamax.cpp.in b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamax.cpp.in
index 3cefacb37..03d0869ae 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamax.cpp.in
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamax.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamin.cpp.in b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamin.cpp.in
index 9de76d1de..db54e4ac0 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamin.cpp.in
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argamin.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmax.cpp.in b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmax.cpp.in
index 112a91f9f..139c2aac2 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmax.cpp.in
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmax.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmin.cpp.in b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmin.cpp.in
index ff8ba1bf2..1a1805722 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmin.cpp.in
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/argmin.cpp.in
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/crop_and_resize.cpp.in b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/crop_and_resize.cpp.in
index b0cdafebd..a9ca7a198 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/crop_and_resize.cpp.in
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compilation_units/crop_and_resize.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compression/compression.cpp b/libnd4j/include/ops/declarable/helpers/cpu/compression/compression.cpp
index 0911b0619..9347ced4a 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compression/compression.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compression/compression.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 //
 //  @author sgazeos@gmail.com
 //
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/compression/threshold.cpp b/libnd4j/include/ops/declarable/helpers/cpu/compression/threshold.cpp
index bac3812d1..66e6c570c 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/compression/threshold.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/compression/threshold.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/concat.cpp b/libnd4j/include/ops/declarable/helpers/cpu/concat.cpp
index 9fd2b5b02..b1dd82488 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/concat.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/concat.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/confusion.cpp b/libnd4j/include/ops/declarable/helpers/cpu/confusion.cpp
index 685d80d2d..cdf2ed562 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/confusion.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/confusion.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_col2vol.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_col2vol.cpp
index b12064cac..eb861eecb 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_col2vol.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_col2vol.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2d.cpp
index 45e66651c..3d54d6689 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2dBP.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2dBP.cpp
index 6a01a4a4d..e2ee0135a 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2dBP.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_conv2dBP.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2d.cpp
index fa86dbd6c..b6c3bef0a 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2dBP.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2dBP.cpp
index 7c0d933e2..8d18510a6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2dBP.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_depthwiseConv2dBP.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2d.cpp
index 26dc4f99e..0242451b4 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -216,7 +218,7 @@ namespace sd {
         }
 
         void ConvolutionUtils::pooling2d(sd::graph::Context& block, const NDArray& input, NDArray& output, const int kH, const int kW, const int sH, const int sW, const int pH, const int pW, const int dH, const int dW, const PoolingType poolingMode, const int extraParam0) {
-            BUILD_SINGLE_SELECTOR(input.dataType(), pooling2d_, (block, input, output, kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), FLOAT_TYPES);
+            BUILD_SINGLE_SELECTOR(input.dataType(), pooling2d_, (block, input, output, kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), NUMERIC_TYPES);
         }
 
 }
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2dBP.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2dBP.cpp
index 03f34bfae..54e903c09 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2dBP.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling2dBP.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -299,7 +301,7 @@ namespace sd {
         }
 
 void ConvolutionUtils::pooling2dBP(sd::graph::Context& block, const NDArray& input, const NDArray& gradO, NDArray& gradI, const int kH, const int kW, const int sH, const int sW, const int pH, const int pW, const int dH, const int dW, const int poolingMode, const int extraParam0) {
-            BUILD_SINGLE_SELECTOR(input.dataType(), pooling2dBP_, (block, input, gradO, gradI, kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), FLOAT_TYPES);
+            BUILD_SINGLE_SELECTOR(input.dataType(), pooling2dBP_, (block, input, gradO, gradI, kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), NUMERIC_TYPES);
         }
 
 }
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3d.cpp
index 04d5f993a..377da610f 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3dBP.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3dBP.cpp
index 02f6f57ac..bf640bd38 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3dBP.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_pooling3dBP.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_sconv2d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_sconv2d.cpp
index 742f88c3b..b8dee086f 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_sconv2d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_sconv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2d.cpp
index ffdd5c34b..d69b11164 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2dBP.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2dBP.cpp
index aba46aabc..958a24009 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2dBP.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling2dBP.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3d.cpp
index 7b86ec5a1..085656465 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3dBP.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3dBP.cpp
index 93c2746fb..fc49ca30b 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3dBP.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_upsampling3dBP.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_vol2col.cpp b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_vol2col.cpp
index 4c8b5bad1..f180d23e6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/convolutions_vol2col.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/convolutions_vol2col.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.cpp b/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.cpp
index ab6503946..2d3105b61 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.hpp b/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.hpp
index c7d29c471..60593d7f6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.hpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/crop_and_resize.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/cross.cpp b/libnd4j/include/ops/declarable/helpers/cpu/cross.cpp
index 51af1840b..607efb101 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/cross.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/cross.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/d_t_s.cpp b/libnd4j/include/ops/declarable/helpers/cpu/d_t_s.cpp
index 27b73d001..3817ab213 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/d_t_s.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/d_t_s.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/diGamma.cpp b/libnd4j/include/ops/declarable/helpers/cpu/diGamma.cpp
index 37abaf559..8f4c8bf61 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/diGamma.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/diGamma.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/diag.cpp b/libnd4j/include/ops/declarable/helpers/cpu/diag.cpp
index 670ad5322..7a56497aa 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/diag.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/diag.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/dilation2d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/dilation2d.cpp
index 1688dcbc4..9a870d411 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/dilation2d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/dilation2d.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyrigkht (c) 2015-2018 Skymind, Inc.
- *
- * Tkhis program and tkhe accompanying materials are made available under tkhe
- * terms of tkhe Apackhe License, Version 2.0 wkhickh is available at
- * khttps://www.apackhe.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under tkhe License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, eitkher express or implied. See tkhe
- * License for tkhe specific language governing permissions and limitations
- * under tkhe License.
- *
- * SPDX-License-Identifier: Apackhe-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @autkhor raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/dropout.cpp b/libnd4j/include/ops/declarable/helpers/cpu/dropout.cpp
index 54981dea5..31aaa46e7 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/dropout.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/dropout.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/dynamic.cpp b/libnd4j/include/ops/declarable/helpers/cpu/dynamic.cpp
index 89cf680d4..7ba4e8bab 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/dynamic.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/dynamic.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/extract_patches.cpp b/libnd4j/include/ops/declarable/helpers/cpu/extract_patches.cpp
index ba04fd9aa..74ee8be40 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/extract_patches.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/extract_patches.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/eye.cpp b/libnd4j/include/ops/declarable/helpers/cpu/eye.cpp
index 30a83b871..bdc88b6e8 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/eye.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/eye.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/fake_quantization.cpp b/libnd4j/include/ops/declarable/helpers/cpu/fake_quantization.cpp
index 7317f8a73..c07963cf1 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/fake_quantization.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/fake_quantization.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/flatten.cpp b/libnd4j/include/ops/declarable/helpers/cpu/flatten.cpp
index aadd74298..aafb89071 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/flatten.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/flatten.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/gather.cpp b/libnd4j/include/ops/declarable/helpers/cpu/gather.cpp
index c28101558..360c2fc75 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/gather.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/gather.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/gatherTransforms.cpp b/libnd4j/include/ops/declarable/helpers/cpu/gatherTransforms.cpp
index e6f1a3896..26cdb319b 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/gatherTransforms.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/gatherTransforms.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/gradient.cpp b/libnd4j/include/ops/declarable/helpers/cpu/gradient.cpp
index df5ee1afc..0cb7b41ee 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/gradient.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/gradient.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/hamming.cpp b/libnd4j/include/ops/declarable/helpers/cpu/hamming.cpp
index 10b6a27e0..56b52b061 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/hamming.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/hamming.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/hashcode.cpp b/libnd4j/include/ops/declarable/helpers/cpu/hashcode.cpp
index 5893b2c88..da27e865d 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/hashcode.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/hashcode.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/histogram.cpp b/libnd4j/include/ops/declarable/helpers/cpu/histogram.cpp
index cb815110d..49fb797f6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/histogram.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/histogram.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/histogramFixedWidth.cpp b/libnd4j/include/ops/declarable/helpers/cpu/histogramFixedWidth.cpp
index 9376e80bf..70f19d15b 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/histogramFixedWidth.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/histogramFixedWidth.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/im2col.cpp b/libnd4j/include/ops/declarable/helpers/cpu/im2col.cpp
index 2434fddcc..bea2926ca 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/im2col.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/im2col.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/image_draw_bounding_boxes.cpp b/libnd4j/include/ops/declarable/helpers/cpu/image_draw_bounding_boxes.cpp
index ee4faafb0..adef987d4 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/image_draw_bounding_boxes.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/image_draw_bounding_boxes.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/image_resize.cpp b/libnd4j/include/ops/declarable/helpers/cpu/image_resize.cpp
index 7206b03e5..d13550821 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/image_resize.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/image_resize.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/image_suppression.cpp b/libnd4j/include/ops/declarable/helpers/cpu/image_suppression.cpp
index c3ad42db3..7a85ecea8 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/image_suppression.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/image_suppression.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/imagesHelpers.cpp b/libnd4j/include/ops/declarable/helpers/cpu/imagesHelpers.cpp
index 108804f38..037e2eb4a 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/imagesHelpers.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/imagesHelpers.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.cpp b/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.cpp
index 4665a7b6f..0c9034dc3 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.hpp b/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.hpp
index 910e10314..1ef93f35f 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.hpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/indexReductions.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/invertPermutation.cpp b/libnd4j/include/ops/declarable/helpers/cpu/invertPermutation.cpp
index 5325ac282..f13c23385 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/invertPermutation.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/invertPermutation.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/ismax.cpp b/libnd4j/include/ops/declarable/helpers/cpu/ismax.cpp
index c2bcb8399..dc3966d4f 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/ismax.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/ismax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/legacy_helper.cpp b/libnd4j/include/ops/declarable/helpers/cpu/legacy_helper.cpp
index b2a0e537f..374bff805 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/legacy_helper.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/legacy_helper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/lgamma.cpp b/libnd4j/include/ops/declarable/helpers/cpu/lgamma.cpp
index 3b71f7ce9..ebbe6a85c 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/lgamma.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/lgamma.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author George A. Shulinok 
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/lrn.cpp b/libnd4j/include/ops/declarable/helpers/cpu/lrn.cpp
index b49f8e61c..b5ebf1158 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/lrn.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/lrn.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/lstm.cpp b/libnd4j/include/ops/declarable/helpers/cpu/lstm.cpp
index 02d4c9855..b62431625 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/lstm.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/lstm.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma, created on 14.02.2018
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/lstsq.cpp b/libnd4j/include/ops/declarable/helpers/cpu/lstsq.cpp
index 204b05530..0f6fe05ec 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/lstsq.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/lstsq.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/lup.cpp b/libnd4j/include/ops/declarable/helpers/cpu/lup.cpp
index 7e66d4b11..ff989a538 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/lup.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/lup.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/matrixSetDiag.cpp b/libnd4j/include/ops/declarable/helpers/cpu/matrixSetDiag.cpp
index 443048c56..3c7f728b2 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/matrixSetDiag.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/matrixSetDiag.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/matrix_band.cpp b/libnd4j/include/ops/declarable/helpers/cpu/matrix_band.cpp
index d83f0dab9..e188beac6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/matrix_band.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/matrix_band.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/matrix_diag_part.cpp b/libnd4j/include/ops/declarable/helpers/cpu/matrix_diag_part.cpp
index 3271dc110..2e64f3ea9 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/matrix_diag_part.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/matrix_diag_part.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/max_pooling.cpp b/libnd4j/include/ops/declarable/helpers/cpu/max_pooling.cpp
index ebb9d53fa..8a19edab4 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/max_pooling.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/max_pooling.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/merge.cpp b/libnd4j/include/ops/declarable/helpers/cpu/merge.cpp
index 2a0c5af95..fdf4874b1 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/merge.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/merge.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com), created on 20.04.2018
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/meshgrid.cpp b/libnd4j/include/ops/declarable/helpers/cpu/meshgrid.cpp
index 336eacf20..5a02258d0 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/meshgrid.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/meshgrid.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/minimax.cpp b/libnd4j/include/ops/declarable/helpers/cpu/minimax.cpp
index 6174151d6..9448bee03 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/minimax.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/minimax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/nth_element.cpp b/libnd4j/include/ops/declarable/helpers/cpu/nth_element.cpp
index b9225e40d..65b671d88 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/nth_element.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/nth_element.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/one_hot.cpp b/libnd4j/include/ops/declarable/helpers/cpu/one_hot.cpp
index 41a265ca9..75985772a 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/one_hot.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/one_hot.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/pad.cpp b/libnd4j/include/ops/declarable/helpers/cpu/pad.cpp
index a0efd44c1..3acf98f81 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/pad.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/pad.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/percentile.cpp b/libnd4j/include/ops/declarable/helpers/cpu/percentile.cpp
index dea46cd69..aba59992e 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/percentile.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/percentile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/polyGamma.cpp b/libnd4j/include/ops/declarable/helpers/cpu/polyGamma.cpp
index 2c93cee08..781d58ada 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/polyGamma.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/polyGamma.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/prefix.cpp b/libnd4j/include/ops/declarable/helpers/cpu/prefix.cpp
index 1afe03556..1485fd2e8 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/prefix.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/prefix.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/print_variable.cpp b/libnd4j/include/ops/declarable/helpers/cpu/print_variable.cpp
index 26a24a5af..f11eea5f4 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/print_variable.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/print_variable.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/qr.cpp b/libnd4j/include/ops/declarable/helpers/cpu/qr.cpp
index 1f980e553..7789700e9 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/qr.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/qr.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
-  * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author George A. Shulinok 
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/random.cpp b/libnd4j/include/ops/declarable/helpers/cpu/random.cpp
index d96b30175..e3fd84075 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/random.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/random.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -173,12 +175,12 @@ namespace helpers {
          s ← s + p.
     return x.
      * */
-    template 
+    template 
     void fillRandomPoisson_(LaunchContext* context, graph::RandomGenerator& rng, NDArray* lambda, NDArray* output) {
         auto shift = output->lengthOf() / lambda->lengthOf();
         auto step = lambda->lengthOf();
         T* lambdaBuf = lambda->dataBuffer()->primaryAsT();
-        T* outputBuf = output->dataBuffer()->primaryAsT();
+        Z* outputBuf = output->dataBuffer()->primaryAsT();
         bool directLa = lambda->ews() == 1 && lambda->ordering() == 'c';
         bool directOut = output->ews() == 1 && output->ordering() == 'c';
         PRAGMA_OMP_PARALLEL_FOR
@@ -188,7 +190,7 @@ namespace helpers {
             for (Nd4jLong e = 0; e < step; e++) {
                 auto p = math::nd4j_exp(-lambda->t(e));
                 auto s = p;
-                auto x = T(0.f);
+                auto x = Z(0.f);
                 while (u > s) {
                     x += 1.f;
                     p *= directLa?lambdaBuf[e]/x:lambda->t(e) / x;
@@ -197,16 +199,19 @@ namespace helpers {
                 if (directOut)
                     outputBuf[pos + e] = x;
                 else
-                    output->r(pos + e) = x;
+                    output->r(pos + e) = x;
             }
         }
     }
 
+
     void fillRandomPoisson(LaunchContext* context, graph::RandomGenerator& rng, NDArray* lambda, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(output->dataType(), fillRandomPoisson_, (context, rng, lambda, output), FLOAT_NATIVE);
+        BUILD_DOUBLE_SELECTOR(lambda->dataType(), output->dataType(), fillRandomPoisson_, (context, rng, lambda, output), FLOAT_TYPES, FLOAT_TYPES);
     }
-    BUILD_SINGLE_TEMPLATE(template void fillRandomPoisson_, (LaunchContext* context,
-            graph::RandomGenerator& rng, NDArray* lambda, NDArray* output), FLOAT_TYPES);
+
+    BUILD_DOUBLE_TEMPLATE(template void fillRandomPoisson_, (LaunchContext* context,
+            graph::RandomGenerator& rng, NDArray* lambda, NDArray* output), FLOAT_TYPES, FLOAT_TYPES);
+ 
 
     template 
     void fillRandomUniform_(LaunchContext* context, graph::RandomGenerator& rng, NDArray* min, NDArray* max, NDArray* output) {
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/randomShuffle.cpp b/libnd4j/include/ops/declarable/helpers/cpu/randomShuffle.cpp
index 2ffbfc95f..f969c57fb 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/randomShuffle.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/randomShuffle.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/random_crop.cpp b/libnd4j/include/ops/declarable/helpers/cpu/random_crop.cpp
index 34be299b7..6e0849856 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/random_crop.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/random_crop.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/range.cpp b/libnd4j/include/ops/declarable/helpers/cpu/range.cpp
index eb2cbd760..6b3736246 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/range.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/range.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/reverse.cpp b/libnd4j/include/ops/declarable/helpers/cpu/reverse.cpp
index bc072682a..63e5676e1 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/reverse.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/reverse.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/roll.cpp b/libnd4j/include/ops/declarable/helpers/cpu/roll.cpp
index 2e3d983cd..8aba2b015 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/roll.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/roll.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -71,7 +73,7 @@ namespace helpers {
                 }
             }
 
-            // stage 3) swap remainer of items.
+            // stage 3) swap remainder of items.
             if (remainShift && shiftCount)
             for (int i = actualShift; i < 2 * actualShift; ++i) {
                 auto _e0 = output->e(i);
@@ -93,10 +95,11 @@ namespace helpers {
         auto source = output; //input;
         for (size_t i = 0; i < axes.size(); i++) {
             int axe = axes[i];
-            if (axe == source->rankOf() - 1) {// last dimension
+           // if (axe == source->rankOf() - 1) {// last dimension
                 ResultSet listOfTensors = source->allTensorsAlongDimension({axe});
                 ResultSet listOfOutTensors = output->allTensorsAlongDimension({axe});
                 int fullLen = listOfTensors.size();
+                nd4j_debug("Roll: fullLen at last dimension is %d\n",fullLen);
                 int theShift = shifts[i];
                 if (theShift > 0) {
                     theShift %= fullLen;
@@ -107,7 +110,7 @@ namespace helpers {
                 for (int k = 0; k < fullLen; k++) {
                     rollFunctorLinear(context, listOfTensors.at(k), listOfOutTensors.at(k), theShift, true);
                 }
-            }
+    /*        }
             else {
                 std::vector dims(source->rankOf() - axe - 1);
                 for (size_t i = 0; i < dims.size(); ++i)
@@ -118,6 +121,7 @@ namespace helpers {
                 //
                 int fullLen = listOfTensors.size();
                 int sizeAt = input->sizeAt(axe);
+                nd4j_debug("Roll: fullLen at  dimension %d is %d\n",i,fullLen);
 
                 int theShift = shifts[i];
 
@@ -129,14 +133,14 @@ namespace helpers {
                 }
 
                 if (theShift) {
-                    for (int dim = 0; dim < fullLen / sizeAt; ++dim) {
-                        for (int e = theShift; e < sizeAt - theShift; ++e) {
+                    for (size_t dim = 0; dim < fullLen / sizeAt; ++dim) {
+                        for (size_t e = theShift; e < sizeAt - theShift; ++e) {
                             auto sourceM = listOfTensors.at(dim * sizeAt + e - theShift);
                             auto targetM = listOfOutTensors.at(dim * sizeAt + e);
                             sourceM->swapUnsafe(*targetM);
                         }
 
-                        for (int e = 0; e < theShift; ++e) {
+                        for (size_t e = 0; e < theShift; ++e) {
                             int sourceIndex = dim * sizeAt + sizeAt - theShift + e;
                             auto sourceM = listOfTensors.at(sourceIndex);
                             auto targetM = listOfOutTensors.at(dim * sizeAt + e);
@@ -147,7 +151,7 @@ namespace helpers {
                 }
             }
 //            if (!inplace)
-//                source = output;
+//                source = output;*/
         }
     }
 
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/s_t_b.cpp b/libnd4j/include/ops/declarable/helpers/cpu/s_t_b.cpp
index 99a172c02..1e3739eec 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/s_t_b.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/s_t_b.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/s_t_d.cpp b/libnd4j/include/ops/declarable/helpers/cpu/s_t_d.cpp
index b51a4adc9..027260e49 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/s_t_d.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/s_t_d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/scatter.cpp b/libnd4j/include/ops/declarable/helpers/cpu/scatter.cpp
index 0693406bf..78a57baff 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/scatter.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/scatter.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/scatterUpdateAndSimple.cpp b/libnd4j/include/ops/declarable/helpers/cpu/scatterUpdateAndSimple.cpp
index fe41c5d43..8eb0554c8 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/scatterUpdateAndSimple.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/scatterUpdateAndSimple.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/segment.cpp b/libnd4j/include/ops/declarable/helpers/cpu/segment.cpp
index 50ff79679..0f8d1a80e 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/segment.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/segment.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
@@ -25,1067 +28,1076 @@
 #include 
 
 namespace sd {
-namespace ops {
-namespace helpers {
+    namespace ops {
+        namespace helpers {
 
-    // segment max
-    template 
-    static void segmentMaxFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
-        //int numClasses = output->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        Nd4jLong idx = indices->e(0);
-        if (input->isVector()) {
-            T val = input->e(0);
+            // segment max
+            template 
+            static void segmentMaxFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
+                //int numClasses = output->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                Nd4jLong idx = indices->e(0);
+                if (input->isVector() || input->isScalar()) {
+                    T val = input->e(0);
 
-            for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
-                if (idx == indices->e(e)) {
-                   // max
-                   val = sd::math::nd4j_max(val, input->t(e));
-                }
-                else {
-                    idx = indices->e(e);
-                    val = input->t(e);
-                }
-                output->r(idx) = val;
-            }
-        }
-        else {
-            std::vector restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-            auto listOfTensors = input->allTensorsAlongDimension(restDims);
-            auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            auto numOfClasses = output->sizeAt(0); // number of classes
-            std::vector> outputs(numOfClasses);
-            auto maxT = listOfOutTensors.at(idx);
-
-            //int pos = 0;
-            maxT->assign(listOfTensors.at(0));
-
-            for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
-                if (indices->e(i) == idx) {
-
-                    for (Nd4jLong e = 0; e < maxT->lengthOf(); e++) {
-                       maxT->r(e) = sd::math::nd4j_max(maxT->t(e), listOfTensors.at(i)->t(e));
+                    for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
+                        if (idx == indices->e(e)) {
+                            // max
+                            val = sd::math::nd4j_max(val, input->t(e));
+                        }
+                        else {
+                            idx = indices->e(e);
+                            val = input->t(e);
+                        }
+                        output->r(idx) = val;
                     }
                 }
                 else {
-                    idx = indices->e(i);
-                    maxT = listOfOutTensors.at(idx);
-                    maxT->assign(listOfTensors.at(i));
-                }
+                    std::vector restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+                    auto listOfTensors = input->allTensorsAlongDimension(restDims);
+                    auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
 
+                    auto numOfClasses = output->sizeAt(0); // number of classes
+                    std::vector> outputs(numOfClasses);
+                    auto maxT = listOfOutTensors.at(idx);
+
+                    //int pos = 0;
+                    maxT->assign(listOfTensors.at(0));
+
+                    for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
+                        if (indices->e(i) == idx) {
+
+                            for (Nd4jLong e = 0; e < maxT->lengthOf(); e++) {
+                                maxT->r(e) = sd::math::nd4j_max(maxT->t(e), listOfTensors.at(i)->t(e));
+                            }
+                        }
+                        else {
+                            idx = indices->e(i);
+                            maxT = listOfOutTensors.at(idx);
+                            maxT->assign(listOfTensors.at(i));
+                        }
+
+                    }
+                }
             }
-        }
-    }
 
-    // segmen min
-    template 
-    static void segmentMinFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
-        //int numClasses = output->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        Nd4jLong idx = indices->e(0);
-        if (input->isVector()) {
-            T val = input->e(0);
+            // segmen min
+            template 
+            static void segmentMinFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
+                //int numClasses = output->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                Nd4jLong idx = indices->e(0);
+                if (input->isVector() || input->isScalar()) {
+                    T val = input->e(0);
 
-            for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
-                if (idx == indices->e(e)) {
-                   // min
-                   val = sd::math::nd4j_min(val, input->t(e));
-                }
-                else {
-                    idx = indices->e(e);
-                    val = input->t(e);
-                }
-                output->r(idx) = val;
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            int numOfClasses = output->sizeAt(0); // number of classes
-            std::vector> outputs(numOfClasses);
-            auto minT = listOfOutTensors.at(idx);
-
-            int pos = 0;
-            minT->assign(listOfTensors.at(0));
-
-            for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
-                if (indices->e(i) == idx) {
-
-                    for (Nd4jLong e = 0; e < minT->lengthOf(); e++) {
-                       minT->p(e, sd::math::nd4j_min(minT->e(e), listOfTensors.at(i)->e(e)));
+                    for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
+                        if (idx == indices->e(e)) {
+                            // min
+                            val = sd::math::nd4j_min(val, input->t(e));
+                        }
+                        else {
+                            idx = indices->e(e);
+                            val = input->t(e);
+                        }
+                        output->r(idx) = val;
                     }
                 }
                 else {
-                    idx = indices->e(i);
-                    minT = listOfOutTensors.at(idx);
-                    minT->assign(listOfTensors.at(i));
-                }
-            }
-        }
-    }
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-    // segmen mean
-    template 
-    static void segmentMeanFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
-        int numClasses = output->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        int idx = indices->e(0);
-        if (input->isVector()) {
-            T val = T(0.f);
-            int count = 0;
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
 
-            for (Nd4jLong e = 0; e < indices->lengthOf(); e++) {
-                if (idx == indices->e(e)) {
-                   // mean
-                   val += input->e(e);
-                   count++;
-                }
-                else {
-                   output->p(idx, val / count);
-                    idx = indices->e(e);
-                    val = input->e(e);
-                    count = 1;
-                }
-                output->p(idx, val / count);
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+                    int numOfClasses = output->sizeAt(0); // number of classes
+                    std::vector> outputs(numOfClasses);
+                    auto minT = listOfOutTensors.at(idx);
 
-            auto listOfTensors = input->allTensorsAlongDimension(restDims);
-            auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
+                    int pos = 0;
+                    minT->assign(listOfTensors.at(0));
 
-            int numOfClasses = output->sizeAt(0); // number of classes
-            std::vector> outputs(numOfClasses);
-            auto meanT = listOfOutTensors.at(idx);
-            int count = 1;
-            auto meanV = meanT->dup();
-            meanV.assign(listOfTensors.at(0));
+                    for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
+                        if (indices->e(i) == idx) {
 
-            for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
-                if (indices->e(i) == idx) {
-                    auto func = PRAGMA_THREADS_FOR {
-                        for (auto e = start; e < stop; e++) {
-                            meanV.p(e, meanV.e(e) + listOfTensors.at(i)->e(e));
+                            for (Nd4jLong e = 0; e < minT->lengthOf(); e++) {
+                                minT->p(e, sd::math::nd4j_min(minT->e(e), listOfTensors.at(i)->e(e)));
+                            }
                         }
-                    };
-                    samediff::Threads::parallel_for(func, 0, meanT->lengthOf());
-
-                    count++;
-                }
-                else {
-                    //meanT->assign(meanV);
-                    meanV.applyScalar(scalar::Divide, count, *meanT);
-                    idx = indices->e(i);
-                    meanT = listOfOutTensors.at(idx);
-                    meanV.assign(listOfTensors.at(i));
-                    count = 1;
-                }
-                meanV.applyScalar(scalar::Divide, count, *meanT);
-            }
-        }
-    }
-
-    template 
-    static void segmentSumFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
-        int numClasses = output->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        int idx = indices->e(0);
-        if (input->isVector()) {
-            T val = T(0.f);
-            int count = 0;
-            for (Nd4jLong e = 0; e < indices->lengthOf(); e++) {
-                if (idx == indices->e(e)) {
-                   // sum
-                   val += input->t(e);
-                }
-                else {
-                    idx = indices->e(e);
-                    val = input->t(e);
-                }
-                output->p(idx, val);
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            auto listOfTensors = input->allTensorsAlongDimension(restDims);
-            auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            int numOfClasses = output->sizeAt(0); // number of classes
-            std::vector> outputs(numOfClasses);
-            auto sumT = listOfOutTensors.at(idx);
-
-            for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                if (indices->e(i) == idx) {
-                    auto func = PRAGMA_THREADS_FOR {
-                        for (auto e = start; e < stop; e++) {
-                            sumT->p(e, sumT->e(e) + listOfTensors.at(i)->e(e));
+                        else {
+                            idx = indices->e(i);
+                            minT = listOfOutTensors.at(idx);
+                            minT->assign(listOfTensors.at(i));
                         }
-                    };
-                    samediff::Threads::parallel_for(func, 0, sumT->lengthOf());
-                }
-                else {
-                    idx = indices->e(i);
-                    sumT = listOfOutTensors.at(idx);
-                    sumT->assign(listOfTensors.at(i));
+                    }
                 }
             }
-        }
-    }
 
-    template 
-    static void segmentProdFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
-        //int numClasses = output->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        int idx = indices->e(0);
-        output->assign(1.f);
-        if (input->isVector()) {
-            T val = input->e(0);
-            int count = 0;
+            // segmen mean
+            template 
+            static void segmentMeanFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
+                int numClasses = output->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                int idx = indices->e(0);
+                if (input->isVector() || input->isScalar()) {
+                    T val = T(0.f);
+                    int count = 0;
 
-            for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
-                if (idx == indices->e(e)) {
-                   // sum
-                   val *= input->e(e);
-                }
-                else {
-                    idx = indices->e(e);
-                    val = input->e(e);
-                }
-                output->p(idx, val);
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            auto listOfTensors = input->allTensorsAlongDimension(restDims);
-            auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            int numOfClasses = output->sizeAt(0); // number of classes
-            auto sumT = listOfOutTensors.at(idx);
-            sumT->assign(listOfTensors.at(0));
-            for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
-                if (indices->e(i)  == idx) {
-                    auto func = PRAGMA_THREADS_FOR {
-                        for (auto e = start; e < stop; e++) {
-                            sumT->p(e, sumT->e(e) * listOfTensors.at(i)->e(e));
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); e++) {
+                        if (idx == indices->e(e)) {
+                            // mean
+                            val += input->e(e);
+                            count++;
                         }
-                    };
-                    samediff::Threads::parallel_for(func, 0, sumT->lengthOf());
+                        else {
+                            output->p(idx, val / count);
+                            idx = indices->e(e);
+                            val = input->e(e);
+                            count = 1;
+                        }
+                        output->p(idx, val / count);
+                    }
                 }
                 else {
-                    idx = indices->e(i);
-                    sumT = listOfOutTensors.at(idx);
-                    sumT->assign(listOfTensors.at(i));
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    auto listOfTensors = input->allTensorsAlongDimension(restDims);
+                    auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    int numOfClasses = output->sizeAt(0); // number of classes
+                    std::vector> outputs(numOfClasses);
+                    auto meanT = listOfOutTensors.at(idx);
+                    int count = 1;
+                    auto meanV = meanT->dup();
+                    meanV.assign(listOfTensors.at(0));
+
+                    for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
+                        if (indices->e(i) == idx) {
+                            auto func = PRAGMA_THREADS_FOR {
+                                for (auto e = start; e < stop; e++) {
+                                    meanV.p(e, meanV.e(e) + listOfTensors.at(i)->e(e));
+                                }
+                            };
+                            samediff::Threads::parallel_for(func, 0, meanT->lengthOf());
+
+                            count++;
+                        }
+                        else {
+                            //meanT->assign(meanV);
+                            meanV.applyScalar(scalar::Divide, count, *meanT);
+                            idx = indices->e(i);
+                            meanT = listOfOutTensors.at(idx);
+                            meanV.assign(listOfTensors.at(i));
+                            count = 1;
+                        }
+                        meanV.applyScalar(scalar::Divide, count, *meanT);
+                    }
+                }
+            }
+
+            template 
+            static void segmentSumFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
+                int numClasses = output->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                int idx = indices->e(0);
+                if (input->isVector() || input->isScalar()) {
+                    T val = T(0.f);
+                    int count = 0;
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); e++) {
+                        if (idx == indices->e(e)) {
+                            // sum
+                            val += input->t(e);
+                        }
+                        else {
+                            idx = indices->e(e);
+                            val = input->t(e);
+                        }
+                        output->p(idx, val);
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    auto listOfTensors = input->allTensorsAlongDimension(restDims);
+                    auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    int numOfClasses = output->sizeAt(0); // number of classes
+                    std::vector> outputs(numOfClasses);
+                    auto sumT = listOfOutTensors.at(idx);
+
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        if (indices->e(i) == idx) {
+                            auto func = PRAGMA_THREADS_FOR {
+                                for (auto e = start; e < stop; e++) {
+                                    sumT->p(e, sumT->e(e) + listOfTensors.at(i)->e(e));
+                                }
+                            };
+                            samediff::Threads::parallel_for(func, 0, sumT->lengthOf());
+                        }
+                        else {
+                            idx = indices->e(i);
+                            sumT = listOfOutTensors.at(idx);
+                            sumT->assign(listOfTensors.at(i));
+                        }
+                    }
+                }
+            }
+
+            template 
+            static void segmentProdFunctor_(NDArray* input, NDArray* indices, NDArray* output) {
+                //int numClasses = output->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                int idx = indices->e(0);
+                output->assign(1.f);
+                if (input->isVector() || input->isScalar()) {
+                    T val = input->e(0);
+                    int count = 0;
+
+                    for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
+                        if (idx == indices->e(e)) {
+                            // sum
+                            val *= input->e(e);
+                        }
+                        else {
+                            idx = indices->e(e);
+                            val = input->e(e);
+                        }
+                        output->p(idx, val);
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    auto listOfTensors = input->allTensorsAlongDimension(restDims);
+                    auto listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    int numOfClasses = output->sizeAt(0); // number of classes
+                    auto sumT = listOfOutTensors.at(idx);
+                    sumT->assign(listOfTensors.at(0));
+                    for (Nd4jLong i = 1; i < indices->lengthOf(); i++) {
+                        if (indices->e(i)  == idx) {
+                            auto func = PRAGMA_THREADS_FOR {
+                                for (auto e = start; e < stop; e++) {
+                                    sumT->p(e, sumT->e(e) * listOfTensors.at(i)->e(e));
+                                }
+                            };
+                            samediff::Threads::parallel_for(func, 0, sumT->lengthOf());
+                        }
+                        else {
+                            idx = indices->e(i);
+                            sumT = listOfOutTensors.at(idx);
+                            sumT->assign(listOfTensors.at(i));
+                        }
+                    }
                 }
             }
-        }
-    }
 
 //    template 
 //    static bool segmentIndicesValidate_(NDArray* indices, NDArray& aexpected, NDArray& anOutput) {
 //      }
 
-    void segmentMaxFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), segmentMaxFunctor_, (input, indices, output), LIBND4J_TYPES);
-    }
-
-    void segmentMinFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), segmentMinFunctor_, (input, indices, output), LIBND4J_TYPES);
-    }
-
-    void segmentMeanFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), segmentMeanFunctor_, (input, indices, output), LIBND4J_TYPES);
-    }
-
-    void segmentSumFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), segmentSumFunctor_, (input, indices, output), LIBND4J_TYPES);
-    }
-
-    void segmentProdFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), segmentProdFunctor_, (input, indices, output), LIBND4J_TYPES);
-    }
-
-    bool segmentIndicesValidate(sd::LaunchContext * context, NDArray* indices, NDArray& expected, NDArray& output) {
-        auto val = indices->e(0);
-        for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
-            output = indices->e(e);
-            if (val.e(0) > output.e(0))
-                return false;
-            val = indices->e(e);
-        }
-
-        return true;
-    }
-
-    //BUILD_SINGLE_TEMPLATE(template bool segmentIndicesValidate_, (NDArray*, NDArray&, NDArray&), LIBND4J_TYPES);
-    BUILD_SINGLE_TEMPLATE(template void segmentProdFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
-    BUILD_SINGLE_TEMPLATE(template void segmentSumFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
-    BUILD_SINGLE_TEMPLATE(template void segmentMeanFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
-    BUILD_SINGLE_TEMPLATE(template void segmentMinFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
-    BUILD_SINGLE_TEMPLATE(template void segmentMaxFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
-    // -------------------------------------------------------------------------------------------------------------- //
-    // Unsorted segment ops
-    // -------------------------------------------------------------------------------------------------------------- //
-
-    bool unsortedSegmentIndicesValidate(sd::LaunchContext * context, NDArray* indices, Nd4jLong expected, Nd4jLong& output) {
-        Nd4jLong val = indices->e(0);
-
-        Nd4jLong maxInd = indices->argMax();
-        if (indices->e(maxInd) >= expected) {
-                output = val;
-                return false;
-        }
-        output = expected;
-        return true;
-    }
-
-    template 
-    static void unsortedSegmentMaxFunctor_(NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-
-        // if input is a vector: (as if in doc sample)
-        //int idx = static_cast((*indices)(0.));
-        MAP_IMPL> idxs;//(indices->lengthOf());
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
-            idxs[indices->e(e)].push_back(e);
-
-        //std::sort(idxs.begin(), idxs.end());
-
-        if (input->isVector()) { // 1D case
-            T maxVal = DataTypeUtils::max();
-            output->assign(-maxVal);
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                T val = input->e(fi->second.at(0));
-                for (Nd4jLong idx = 1; idx < static_cast(fi->second.size()); ++idx) {
-                    val = sd::math::nd4j_max(val, input->e(fi->second.at(idx)));
-                }
-                output->p(fi->first, val);
+            void segmentMaxFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), segmentMaxFunctor_, (input, indices, output), LIBND4J_TYPES);
             }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+            void segmentMinFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), segmentMinFunctor_, (input, indices, output), LIBND4J_TYPES);
+            }
 
-            T maxVal = DataTypeUtils::max();
-            output->assign(-maxVal);
+            void segmentMeanFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), segmentMeanFunctor_, (input, indices, output), LIBND4J_TYPES);
+            }
 
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                auto outputT = listOfOutTensors.at(fi->first);
-                outputT->assign(listOfTensors.at(fi->second.at(0)));
-                for (Nd4jLong idx = 1; idx < static_cast(fi->second.size()); ++idx) {
-                    auto maxT = listOfTensors.at(fi->second.at(idx));
-                    for (Nd4jLong e = 0; e < outputT->lengthOf(); ++e) {
-                        T val = sd::math::nd4j_max(maxT->e(e), outputT->e(e));
+            void segmentSumFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), segmentSumFunctor_, (input, indices, output), LIBND4J_TYPES);
+            }
 
-                        outputT->p(e, val);
+            void segmentProdFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), segmentProdFunctor_, (input, indices, output), LIBND4J_TYPES);
+            }
+
+            bool segmentIndicesValidate(sd::LaunchContext * context, NDArray* indices, NDArray& expected, NDArray& output) {
+                auto val = indices->e(0);
+                for (Nd4jLong e = 1; e < indices->lengthOf(); e++) {
+                    output = indices->e(e);
+                    if (val.e(0) > output.e(0))
+                        return false;
+                    val = indices->e(e);
+                }
+
+                return true;
+            }
+
+            //BUILD_SINGLE_TEMPLATE(template bool segmentIndicesValidate_, (NDArray*, NDArray&, NDArray&), LIBND4J_TYPES);
+            BUILD_SINGLE_TEMPLATE(template void segmentProdFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
+            BUILD_SINGLE_TEMPLATE(template void segmentSumFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
+            BUILD_SINGLE_TEMPLATE(template void segmentMeanFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
+            BUILD_SINGLE_TEMPLATE(template void segmentMinFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
+            BUILD_SINGLE_TEMPLATE(template void segmentMaxFunctor_, (NDArray* input, NDArray* indices, NDArray* output), LIBND4J_TYPES);
+            // -------------------------------------------------------------------------------------------------------------- //
+            // Unsorted segment ops
+            // -------------------------------------------------------------------------------------------------------------- //
+
+            bool unsortedSegmentIndicesValidate(sd::LaunchContext * context, NDArray* indices, Nd4jLong expected, Nd4jLong& output) {
+                Nd4jLong val = indices->e(0);
+
+                Nd4jLong maxInd = indices->argMax();
+                if (indices->e(maxInd) >= expected) {
+                    output = val;
+                    return false;
+                }
+                output = expected;
+                return true;
+            }
+
+            template 
+            static void unsortedSegmentMaxFunctor_(NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+
+                // if input is a vector: (as if in doc sample)
+                //int idx = static_cast((*indices)(0.));
+                MAP_IMPL> idxs;//(indices->lengthOf());
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
+                    idxs[indices->e(e)].push_back(e);
+
+
+                //std::sort(idxs.begin(), idxs.end());
+
+                if (input->isVector() || input->isScalar()) { // 1D case
+                    T maxVal = DataTypeUtils::max();
+                    output->assign(-maxVal);
+
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        T val = input->e(fi->second.at(0));
+                        for (Nd4jLong idx = 1; idx < static_cast(fi->second.size()); ++idx) {
+                            val = sd::math::nd4j_max(val, input->e(fi->second.at(idx)));
+                        }
+                        output->p(fi->first, val);
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    T maxVal = DataTypeUtils::max();
+                    output->assign(-maxVal);
+
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        auto outputT = listOfOutTensors.at(fi->first);
+                        outputT->assign(listOfTensors.at(fi->second.at(0)));
+                        for (Nd4jLong idx = 0; idx < listOfTensors.size(); ++idx) {
+                               if(idx >= fi->second.size() ||  fi->second.size() < 2 ||  fi->second.at(idx) >= listOfTensors.size()) {
+                                   continue;
+                            }
+
+                            auto maxT = listOfTensors.at(fi->second.at(idx));
+                            for (Nd4jLong e = 0; e < outputT->lengthOf(); ++e) {
+                                T val = sd::math::nd4j_max(maxT->e(e), outputT->e(e));
+
+                                outputT->p(e, val);
+                            }
+                        }
+
+
+                    }
+
+
+                }
+            }
+            void unsortedSegmentMaxFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), unsortedSegmentMaxFunctor_, (input, indices, numOfClasses, output), NUMERIC_TYPES);
+            }
+            BUILD_SINGLE_TEMPLATE(template void unsortedSegmentMaxFunctor_, (NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+
+            template 
+            static void unsortedSegmentMinFunctor_(NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                // if input is a vector: (as if in doc sample)
+                //int idx = static_cast((*indices)(0.));
+                MAP_IMPL> idxs;//(indices->lengthOf());
+
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
+                    idxs[indices->e(e)].push_back(e);
+
+                //std::sort(idxs.begin(), idxs.end());
+
+                if (input->isVector() || input->isScalar()) { // 1D case
+                    T maxVal = DataTypeUtils::max();
+                    output->assign(maxVal);
+
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        T val = input->t(fi->second.at(0));
+
+                        for (size_t idx = 1; idx < fi->second.size(); ++idx) {
+                            val = sd::math::nd4j_min(val, input->t(fi->second.at(idx)));
+                        }
+                        output->r(fi->first) = val;
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    T maxVal = DataTypeUtils::max();
+                    output->assign(maxVal);
+
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        auto outputT = listOfOutTensors.at(fi->first);
+                        outputT->assign(listOfTensors.at(fi->second.at(0)));
+                        for (size_t idx = 1; idx < fi->second.size(); ++idx) {
+                            auto minT = listOfTensors.at(fi->second.at(idx));
+
+                            for (Nd4jLong e = 0; e < outputT->lengthOf(); ++e) {
+                                outputT->r(e) = sd::math::nd4j_min(minT->t(e), outputT->t(e));
+                            }
+                        }
+                        //outputT->assign(maxT);
+                    }
+                }
+
+            }
+            void unsortedSegmentMinFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), unsortedSegmentMinFunctor_, (input, indices, numOfClasses, output),
+                                      NUMERIC_TYPES);
+            }
+
+            BUILD_SINGLE_TEMPLATE(template void unsortedSegmentMinFunctor_, (NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+
+            void unsortedSegmentMeanFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                MAP_IMPL> idxs;//(indices->lengthOf());
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
+                    idxs[indices->e(e)].push_back(e);
+
+                //std::sort(idxs.begin(), idxs.end());
+
+                if (input->isVector() || input->isScalar()) { // 1D case
+
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        double sumValue = input->e(fi->second.at(0));
+                        int loop_size = fi->second.size();
+
+                        // FIXME: parallelism here?
+                        for (size_t idx = 1; idx < loop_size; ++idx) {
+                            sumValue += input->e(fi->second.at(idx));
+                        }
+
+                        output->p(fi->first, sumValue / fi->second.size());
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    // FIXME: parallelism here?
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        auto outputT = listOfOutTensors.at(fi->first);
+                        outputT->assign(listOfTensors.at(fi->second.at(0)));
+                        Nd4jLong loopSize = fi->second.size();
+
+                        for (Nd4jLong idx = 1; idx < loopSize; ++idx) {
+                            auto current = listOfTensors.at(fi->second.at(idx));
+                            *outputT += *current;
+                        }
+                        (*outputT) /= double(fi->second.size());
                     }
                 }
             }
-        }
-    }
-    void unsortedSegmentMaxFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), unsortedSegmentMaxFunctor_, (input, indices, numOfClasses, output), NUMERIC_TYPES);
-    }
-    BUILD_SINGLE_TEMPLATE(template void unsortedSegmentMaxFunctor_, (NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
 
-    template 
-    static void unsortedSegmentMinFunctor_(NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        // if input is a vector: (as if in doc sample)
-        //int idx = static_cast((*indices)(0.));
-        MAP_IMPL> idxs;//(indices->lengthOf());
+            void unsortedSegmentSumFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                MAP_IMPL> idxs;//(indices->lengthOf());
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
+                    idxs[indices->e(e)].push_back(e);
 
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
-            idxs[indices->e(e)].push_back(e);
+                if (input->isVector() || input->isScalar()) { // 1D case
 
-        //std::sort(idxs.begin(), idxs.end());
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        double sumValue = input->e(fi->second.at(0));
+                        Nd4jLong loop_size = fi->second.size();
 
-        if (input->isVector()) { // 1D case
-            T maxVal = DataTypeUtils::max();
-            output->assign(maxVal);
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                T val = input->t(fi->second.at(0));
-
-                for (size_t idx = 1; idx < fi->second.size(); ++idx) {
-                    val = sd::math::nd4j_min(val, input->t(fi->second.at(idx)));
-                }
-                output->r(fi->first) = val;
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            T maxVal = DataTypeUtils::max();
-            output->assign(maxVal);
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                auto outputT = listOfOutTensors.at(fi->first);
-                outputT->assign(listOfTensors.at(fi->second.at(0)));
-                for (size_t idx = 1; idx < fi->second.size(); ++idx) {
-                    auto minT = listOfTensors.at(fi->second.at(idx));
-
-                    for (Nd4jLong e = 0; e < outputT->lengthOf(); ++e) {
-                        outputT->r(e) = sd::math::nd4j_min(minT->t(e), outputT->t(e));
+                        // FIXME: parallelism here?
+                        for (Nd4jLong idx = 1; idx < loop_size; ++idx) {
+                            sumValue += input->e(fi->second.at(idx));
+                        }
+                        output->p(fi->first, sumValue);
                     }
                 }
-                //outputT->assign(maxT);
-            }
-        }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-    }
-    void unsortedSegmentMinFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), unsortedSegmentMinFunctor_, (input, indices, numOfClasses, output),
-                              NUMERIC_TYPES);
-    }
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
 
-    BUILD_SINGLE_TEMPLATE(template void unsortedSegmentMinFunctor_, (NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        auto outputT = listOfOutTensors.at(fi->first);
+                        outputT->assign(listOfTensors.at(fi->second.at(0)));
+                        Nd4jLong loop_size = fi->second.size();
 
-    void unsortedSegmentMeanFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        MAP_IMPL> idxs;//(indices->lengthOf());
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
-            idxs[indices->e(e)].push_back(e);
-
-        //std::sort(idxs.begin(), idxs.end());
-
-        if (input->isVector()) { // 1D case
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                double sumValue = input->e(fi->second.at(0));
-                int loop_size = fi->second.size();
-
-                // FIXME: parallelism here?
-                for (size_t idx = 1; idx < loop_size; ++idx) {
-                    sumValue += input->e(fi->second.at(idx));
-                }
-
-                output->p(fi->first, sumValue / fi->second.size());
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            // FIXME: parallelism here?
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                auto outputT = listOfOutTensors.at(fi->first);
-                outputT->assign(listOfTensors.at(fi->second.at(0)));
-                Nd4jLong loopSize = fi->second.size();
-
-                for (Nd4jLong idx = 1; idx < loopSize; ++idx) {
-                    auto current = listOfTensors.at(fi->second.at(idx));
-                    *outputT += *current;
-                }
-                (*outputT) /= double(fi->second.size());
-            }
-        }
-    }
-
-    void unsortedSegmentSumFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        MAP_IMPL> idxs;//(indices->lengthOf());
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
-            idxs[indices->e(e)].push_back(e);
-
-        if (input->isVector()) { // 1D case
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                double sumValue = input->e(fi->second.at(0));
-                Nd4jLong loop_size = fi->second.size();
-
-                // FIXME: parallelism here?
-                for (Nd4jLong idx = 1; idx < loop_size; ++idx) {
-                    sumValue += input->e(fi->second.at(idx));
-                }
-                output->p(fi->first, sumValue);
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                auto outputT = listOfOutTensors.at(fi->first);
-                outputT->assign(listOfTensors.at(fi->second.at(0)));
-                Nd4jLong loop_size = fi->second.size();
-
-                // FIXME: parallelism here?
-                for (Nd4jLong idx = 1; idx < loop_size; ++idx) {
-                    auto current = listOfTensors.at(fi->second.at(idx));
-                    *(outputT) += *current;
-                }
-                //outputT->assign(maxT);
-            }
-        }
-    }
-
-    template 
-    void unsortedSegmentProdFunctor_(NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        MAP_IMPL> idxs;//(indices->lengthOf());
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
-            idxs[indices->e(e)].push_back(e);
-
-        //std::sort(idxs.begin(), idxs.end());
-
-        output->assign(1.f);
-
-        if (input->isVector()) { // 1D case
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                T prodValue = input->e(fi->second.at(0));
-                for (size_t idx = 1; idx < fi->second.size(); ++idx) {
-                    prodValue *= input->e(fi->second.at(idx));
-                }
-                output->p(fi->first, prodValue);
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                auto outputT = listOfOutTensors.at(fi->first);
-                outputT->assign(listOfTensors.at(fi->second.at(0)));
-                for (size_t idx = 1; idx < fi->second.size(); ++idx) {
-                    auto current = listOfTensors.at(fi->second.at(idx));
-
-                    *outputT *= *current;
-                }
-            }
-        }
-    }
-
-    void unsortedSegmentProdFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(input->dataType(), unsortedSegmentProdFunctor_, (input, indices, numOfClasses, output), NUMERIC_TYPES);
-    }
-    BUILD_SINGLE_TEMPLATE(template void unsortedSegmentProdFunctor_, (NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
-
-    void unsortedSegmentSqrtNFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
-        MAP_IMPL> idxs;//(indices->lengthOf());
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
-            idxs[indices->e(e)].push_back(e);
-
-        //std::sort(idxs.begin(), idxs.end());
-
-        if (input->isVector()) { // 1D case
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                double sumValue = input->e(fi->second.at(0));
-                for (size_t idx = 1; idx < fi->second.size(); ++idx) {
-                    sumValue += input->e(fi->second.at(idx));
-                }
-                output->p(fi->first, sumValue / sd::math::nd4j_sqrt(fi->second.size()));
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
-                auto outputT = listOfOutTensors.at(fi->first);
-                outputT->assign(listOfTensors.at(fi->second.at(0)));
-                for (size_t idx = 1; idx < fi->second.size(); ++idx) {
-                    auto current = listOfTensors.at(fi->second.at(idx));
-                    *outputT += *current;
-                }
-                //outputT->assign(maxT);
-                (*outputT) /= sd::math::nd4j_sqrt(fi->second.size());
-            }
-        }
-    }
-
-    // -------------------------------------------------------------------------------------------------------------- //
-    // Backpropagate ops helpers
-    // -------------------------------------------------------------------------------------------------------------- //
-    // Sorted backpropagate ops
-    //
-    // segment max
-    template 
-    int segmentMaxFunctorBP_(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
-        //int numOfClasses = gradOut->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        auto tempRes = gradOut->dup();
-        segmentMaxFunctor_(input, indices, &tempRes);
-        if (input->isVector()) {
-            Nd4jLong loop_size = input->lengthOf();
-
-            auto func = PRAGMA_THREADS_FOR {
-                for (auto e = start; e < stop; e++) {
-                    auto classNum = indices->e(e);
-                    if (sd::math::nd4j_abs(tempRes.e(classNum) - input->e(e)) <= T(1.e-6))
-                        output->p(e, gradOut->e(classNum));
-                }
-            };
-            samediff::Threads::parallel_for(func, 0, loop_size);
-        }
-        else {
-            std::vector restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            //int numOfClasses = tempRes.sizeAt(0); // number of classes
-            //std::vector> outputs(numOfClasses);
-
-            auto func = PRAGMA_THREADS_FOR {
-                for (auto i = start; i < stop; i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-
-                    for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
-                        if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->e(e) - current->e(e)) <= T(1.e-6))
-                            currentOut->p(e, currentGradOut->e(e));
+                        // FIXME: parallelism here?
+                        for (Nd4jLong idx = 1; idx < loop_size; ++idx) {
+                            auto current = listOfTensors.at(fi->second.at(idx));
+                            *(outputT) += *current;
+                        }
+                        //outputT->assign(maxT);
                     }
                 }
-            };
-
-            samediff::Threads::parallel_tad(func, 0, indices->lengthOf());
-        }
-
-        return ND4J_STATUS_OK;
-    }
-
-    int segmentMaxFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(output->dataType(), return segmentMaxFunctorBP_, (context, input, indices, gradOut, output), NUMERIC_TYPES);
-    }
-    BUILD_SINGLE_TEMPLATE(template int segmentMaxFunctorBP_, (sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output), NUMERIC_TYPES);
-
-    // segmen min
-    int segmentMinFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
-        NDArray tempRes = gradOut->dup();
-        segmentMinFunctor(context, input, indices, &tempRes);
-        if (input->isVector()) {
-            auto func = PRAGMA_THREADS_FOR {
-                for (auto e = start; e < stop; e++) {
-                    auto classNum = indices->e(e);
-                    if (sd::math::nd4j_abs(tempRes.e(classNum) - input->e(e)) < 1.e-5)
-                        output->p(e, gradOut->e(classNum));
-                }
-            };
-            samediff::Threads::parallel_for(func, 0, input->lengthOf());
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            //int numOfClasses = tempRes.sizeAt(0); // number of classes
-            //std::vector> outputs(numOfClasses);
-            output->assign(0.);
-            int pos = 0;
-
-            auto func = PRAGMA_THREADS_FOR {
-                for (auto i = start; i < stop; i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-
-                    for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
-                        if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->e(e) - current->e(e)) <
-                            1.e-5)
-                            currentOut->p(e, currentGradOut->e(e));
-                    }
-                }
-            };
-
-            samediff::Threads::parallel_tad(func, 0, indices->lengthOf());
-        }
-        return ND4J_STATUS_OK;
-    }
-
-    // segmen mean
-    int segmentMeanFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
-        int numClasses = output->sizeAt(0);
-        MAP_IMPL classCount;//(numClasses);
-
-        for (Nd4jLong count = 0; count < numClasses; ++count) {
-            classCount[count] = 0;
-        }
-
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-            classCount[indices->e(e)] ++;
-        }
-
-        // if input is a vector: (as if in doc sample)
-        if (input->isVector()) {
-            for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-                Nd4jLong classNum = indices->e(e);
-                output->p(e, gradOut->e(classNum) / classCount[classNum]);
             }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-;
+            template 
+            void unsortedSegmentProdFunctor_(NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                MAP_IMPL> idxs;//(indices->lengthOf());
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
+                    idxs[indices->e(e)].push_back(e);
 
-            int pos = 0;
-            //auto func = [&](uint64_t thread_id, uint64_t start, uint64_t stop, uint64_t increment) -> void {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
+                //std::sort(idxs.begin(), idxs.end());
 
-                    for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
-                        currentOut->p(e, currentGradOut->e(e) / classCount.at(classNum));
+                output->assign(1.f);
+
+                if (input->isVector() || input->isScalar()) { // 1D case
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        T prodValue = input->e(fi->second.at(0));
+                        for (size_t idx = 1; idx < fi->second.size(); ++idx) {
+                            prodValue *= input->e(fi->second.at(idx));
+                        }
+                        output->p(fi->first, prodValue);
                     }
                 }
-            //};
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
-        return ND4J_STATUS_OK;
-    }
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
 
-    int segmentSumFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        auto outputT = listOfOutTensors.at(fi->first);
+                        outputT->assign(listOfTensors.at(fi->second.at(0)));
+                        for (size_t idx = 1; idx < fi->second.size(); ++idx) {
+                            auto current = listOfTensors.at(fi->second.at(idx));
+
+                            *outputT *= *current;
+                        }
+                    }
+                }
+            }
+
+            void unsortedSegmentProdFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(input->dataType(), unsortedSegmentProdFunctor_, (input, indices, numOfClasses, output), NUMERIC_TYPES);
+            }
+            BUILD_SINGLE_TEMPLATE(template void unsortedSegmentProdFunctor_, (NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+
+            void unsortedSegmentSqrtNFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output) {
+                MAP_IMPL> idxs;//(indices->lengthOf());
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e)
+                    idxs[indices->e(e)].push_back(e);
+
+                //std::sort(idxs.begin(), idxs.end());
+
+                if (input->isVector() || input->isScalar()) { // 1D case
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        double sumValue = input->e(fi->second.at(0));
+                        for (size_t idx = 1; idx < fi->second.size(); ++idx) {
+                            sumValue += input->e(fi->second.at(idx));
+                        }
+                        output->p(fi->first, sumValue / sd::math::nd4j_sqrt(fi->second.size()));
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    for (auto fi = idxs.begin(); fi != idxs.end(); ++fi) {
+                        auto outputT = listOfOutTensors.at(fi->first);
+                        outputT->assign(listOfTensors.at(fi->second.at(0)));
+                        for (size_t idx = 1; idx < fi->second.size(); ++idx) {
+                            auto current = listOfTensors.at(fi->second.at(idx));
+                            *outputT += *current;
+                        }
+                        //outputT->assign(maxT);
+                        (*outputT) /= sd::math::nd4j_sqrt(fi->second.size());
+                    }
+                }
+            }
+
+            // -------------------------------------------------------------------------------------------------------------- //
+            // Backpropagate ops helpers
+            // -------------------------------------------------------------------------------------------------------------- //
+            // Sorted backpropagate ops
+            //
+            // segment max
+            template 
+            int segmentMaxFunctorBP_(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
+                //int numOfClasses = gradOut->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                auto tempRes = gradOut->dup();
+                segmentMaxFunctor_(input, indices, &tempRes);
+                if (input->isVector() || input->isScalar()) {
+                    Nd4jLong loop_size = input->lengthOf();
+
+                    auto func = PRAGMA_THREADS_FOR {
+                        for (auto e = start; e < stop; e++) {
+                            auto classNum = indices->e(e);
+                            if (sd::math::nd4j_abs(tempRes.e(classNum) - input->e(e)) <= T(1.e-6))
+                                output->p(e, gradOut->e(classNum));
+                        }
+                    };
+                    samediff::Threads::parallel_for(func, 0, loop_size);
+                }
+                else {
+                    std::vector restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    //int numOfClasses = tempRes.sizeAt(0); // number of classes
+                    //std::vector> outputs(numOfClasses);
+
+                    auto func = PRAGMA_THREADS_FOR {
+                        for (auto i = start; i < stop; i++) {
+                            auto classNum = indices->e(i);
+                            auto current = listOfTensors.at(i);
+                            auto currentOut = listOfOutTensors.at(i);
+                            auto currentGradOut = listOfGradOuts.at(classNum);
+
+                            for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
+                                if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->e(e) - current->e(e)) <= T(1.e-6))
+                                    currentOut->p(e, currentGradOut->e(e));
+                            }
+                        }
+                    };
+
+                    samediff::Threads::parallel_tad(func, 0, indices->lengthOf());
+                }
+
+                return ND4J_STATUS_OK;
+            }
+
+            int segmentMaxFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(output->dataType(), return segmentMaxFunctorBP_, (context, input, indices, gradOut, output), NUMERIC_TYPES);
+            }
+            BUILD_SINGLE_TEMPLATE(template int segmentMaxFunctorBP_, (sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output), NUMERIC_TYPES);
+
+            // segmen min
+            int segmentMinFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
+                NDArray tempRes = gradOut->dup();
+                segmentMinFunctor(context, input, indices, &tempRes);
+                if (input->isVector() || input->isScalar()) {
+                    auto func = PRAGMA_THREADS_FOR {
+                        for (auto e = start; e < stop; e++) {
+                            auto classNum = indices->e(e);
+                            if (sd::math::nd4j_abs(tempRes.e(classNum) - input->e(e)) < 1.e-5)
+                                output->p(e, gradOut->e(classNum));
+                        }
+                    };
+                    samediff::Threads::parallel_for(func, 0, input->lengthOf());
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    //int numOfClasses = tempRes.sizeAt(0); // number of classes
+                    //std::vector> outputs(numOfClasses);
+                    output->assign(0.);
+                    int pos = 0;
+
+                    auto func = PRAGMA_THREADS_FOR {
+                        for (auto i = start; i < stop; i++) {
+                            auto classNum = indices->e(i);
+                            auto current = listOfTensors.at(i);
+                            auto currentOut = listOfOutTensors.at(i);
+                            auto currentGradOut = listOfGradOuts.at(classNum);
+
+                            for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
+                                if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->e(e) - current->e(e)) <
+                                    1.e-5)
+                                    currentOut->p(e, currentGradOut->e(e));
+                            }
+                        }
+                    };
+
+                    samediff::Threads::parallel_tad(func, 0, indices->lengthOf());
+                }
+                return ND4J_STATUS_OK;
+            }
+
+            // segmen mean
+            int segmentMeanFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
+                int numClasses = output->sizeAt(0);
+                MAP_IMPL classCount;//(numClasses);
+
+                for (Nd4jLong count = 0; count < numClasses; ++count) {
+                    classCount[count] = 0;
+                }
+
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                    classCount[indices->e(e)] ++;
+                }
+
+                // if input is a vector: (as if in doc sample)
+                if (input->isVector() || input->isScalar()) {
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                        Nd4jLong classNum = indices->e(e);
+                        output->p(e, gradOut->e(classNum) / classCount[classNum]);
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+                    ;
+
+                    int pos = 0;
+                    //auto func = [&](uint64_t thread_id, uint64_t start, uint64_t stop, uint64_t increment) -> void {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto current = listOfTensors.at(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
+
+                        for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
+                            currentOut->p(e, currentGradOut->e(e) / classCount.at(classNum));
+                        }
+                    }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
+                }
+                return ND4J_STATUS_OK;
+            }
+
+            int segmentSumFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
 //        int numClasses = output->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        Nd4jLong idx = indices->e(0);
-        if (input->isVector()) {
-            for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-                Nd4jLong classNum = indices->e(e);
-                output->p(e, gradOut->e(classNum));
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-
-                    currentOut->assign(currentGradOut);
-                }
-            //};
-
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
-        return Status::OK();
-    }
-
-    int segmentProdFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
-        auto tempRes = gradOut->dup();
-        segmentProdFunctor(context, input, indices, &tempRes);
-        if (input->isVector()) {
-            for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-                Nd4jLong classNum = indices->e(e);
-                output->p(e, gradOut->e(classNum) * tempRes.e(classNum)/ input->e(e));
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            //int numOfClasses = tempRes.sizeAt(0); // number of classes
-            //std::vector> outputs(numOfClasses);
-
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-                    auto currentFFOut = listOfBPTensors.at(classNum);
-
-                    currentOut->assign((*currentFFOut) * (*currentGradOut) / (*current));
-                }
-            //};
-
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
-
-        return ND4J_STATUS_OK;
-    }
-
-    // -------------------------------------------------------------------------------------------------------------- //
-    // Unsorted backpropagate segment ops
-    // -------------------------------------------------------------------------------------------------------------- //
-
-    template 
-    static int unsortedSegmentMaxFunctorBP_(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-//        int numOfClasses = gradOut->sizeAt(0);
-        // if input is a vector: (as if in doc sample)
-        auto tempRes = gradOut->dup();
-        unsortedSegmentMaxFunctor(context, input, indices, numOfClasses, &tempRes);
-        if (input->isVector()) {
-
-            for (Nd4jLong e = 0; e < input->lengthOf(); ++e) {
-                Nd4jLong classNum = indices->e(e);
-                if (sd::math::nd4j_abs(tempRes.e(classNum) - input->e(e)) < 1.e-5)
-                    output->p(e, gradOut->e(classNum));
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                Nd4jLong classNum = indices->e(i);
-                NDArray* current = listOfTensors.at(i);
-                NDArray* currentOut = listOfOutTensors.at(i);
-                NDArray* currentGradOut = listOfGradOuts.at(classNum);
-                for (int e = 0; e < current->lengthOf(); e++) {
-                    if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->e(e) - current->e(e)) < 1.e-5)
-                        currentOut->p(e, currentGradOut->e(e));
-                }
-            }
-        }
-
-        return ND4J_STATUS_OK;
-    }
-
-    int unsortedSegmentMaxFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(output->dataType(), return unsortedSegmentMaxFunctorBP_, (context, input, indices, gradOut, numOfClasses, output), NUMERIC_TYPES);
-    }
-    BUILD_SINGLE_TEMPLATE(template int unsortedSegmentMaxFunctorBP_, (sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
-
-    template 
-    static int unsortedSegmentMinFunctorBP_(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-        auto tempRes = gradOut->dup();
-        unsortedSegmentMinFunctor(context, input, indices, numOfClasses, &tempRes);
-        if (input->isVector()) {
-
-            auto func = PRAGMA_THREADS_FOR {
-                for (auto e = start; e < stop; e++) {
-                    auto classNum = indices->e(e);
-                    if (sd::math::nd4j_abs(tempRes.t(classNum) - input->t(e)) < 1.e-6)
-                        output->r(e) = gradOut->t(classNum);
-                }
-            };
-
-            samediff::Threads::parallel_for(func, 0, input->lengthOf());
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-
-                    for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
-                        if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->t(e) - current->t(e)) < 1.e-6)
-                            currentOut->r(e) = currentGradOut->t(e);
+                // if input is a vector: (as if in doc sample)
+                Nd4jLong idx = indices->e(0);
+                if (input->isVector() || input->isScalar()) {
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                        Nd4jLong classNum = indices->e(e);
+                        output->p(e, gradOut->e(classNum));
                     }
                 }
-            //};
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
 
-        return ND4J_STATUS_OK;
-    }
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto current = listOfTensors.at(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
 
-    int unsortedSegmentMinFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-        BUILD_SINGLE_SELECTOR(output->dataType(), return unsortedSegmentMinFunctorBP_, (context, input, indices, gradOut, numOfClasses, output), NUMERIC_TYPES);
-    }
-    BUILD_SINGLE_TEMPLATE(template int unsortedSegmentMinFunctorBP_, (sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+                        currentOut->assign(currentGradOut);
+                    }
+                    //};
 
-    int unsortedSegmentMeanFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-
-        MAP_IMPL classCount;//(numClasses);
-
-        for (Nd4jLong count = 0; count < numOfClasses; ++count) {
-            classCount[count] = 0;
-        }
-
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-            classCount[indices->e(e)]++;
-        }
-
-        // if input is a vector: (as if in doc sample)
-        if (input->isVector()) {
-            for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-                Nd4jLong classNum = indices->e(e);
-                output->p(e, gradOut->e(classNum) / classCount[classNum]);
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                Nd4jLong classNum = indices->e(i);
-                NDArray* current = listOfTensors.at(i);
-                NDArray* currentOut = listOfOutTensors.at(i);
-                NDArray* currentGradOut = listOfGradOuts.at(classNum);
-                currentOut->assign(*currentGradOut / double(classCount[classNum]));
-            }
-        }
-        return ND4J_STATUS_OK;
-    }
-
-    int unsortedSegmentSumFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-
-        // if input is a vector: (as if in doc sample)
-        Nd4jLong idx = indices->e(0);
-        if (input->isVector()) {
-            for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-                Nd4jLong classNum = indices->e(e);
-                output->p(e, gradOut->e(classNum));
-            }
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
-
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
-
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-
-                    currentOut->assign(currentGradOut);
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
                 }
-            //};
+                return Status::OK();
+            }
 
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
-        return Status::OK();
-    }
-
-    int unsortedSegmentProdFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-
-        auto tempRes = gradOut->dup();
-        unsortedSegmentProdFunctor(context, input, indices, numOfClasses, &tempRes);
-        if (input->isVector()) {
-            auto func = PRAGMA_THREADS_FOR {
-                for (auto e = start; e < stop; e++) {
-                    auto classNum = indices->e(e);
-                    output->p(e, gradOut->e(classNum) * tempRes.e(classNum) / input->e(e));
+            int segmentProdFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output) {
+                auto tempRes = gradOut->dup();
+                segmentProdFunctor(context, input, indices, &tempRes);
+                if (input->isVector() || input->isScalar()) {
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                        Nd4jLong classNum = indices->e(e);
+                        output->p(e, gradOut->e(classNum) * tempRes.e(classNum)/ input->e(e));
+                    }
                 }
-            };
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
 
-            samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+                    ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
 
-            ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
-            ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+                    //int numOfClasses = tempRes.sizeAt(0); // number of classes
+                    //std::vector> outputs(numOfClasses);
 
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-                    auto currentFFOut = listOfBPTensors.at(classNum);
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto current = listOfTensors.at(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
+                        auto currentFFOut = listOfBPTensors.at(classNum);
 
-                    currentOut->assign((*currentFFOut) * (*currentGradOut) / (*current));
+                        currentOut->assign((*currentFFOut) * (*currentGradOut) / (*current));
+                    }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
                 }
-            //};
 
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
+                return ND4J_STATUS_OK;
+            }
 
-        return Status::OK();
-    }
+            // -------------------------------------------------------------------------------------------------------------- //
+            // Unsorted backpropagate segment ops
+            // -------------------------------------------------------------------------------------------------------------- //
+
+            template 
+            static int unsortedSegmentMaxFunctorBP_(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+//        int numOfClasses = gradOut->sizeAt(0);
+                // if input is a vector: (as if in doc sample)
+                auto tempRes = gradOut->dup();
+                unsortedSegmentMaxFunctor(context, input, indices, numOfClasses, &tempRes);
+                if (input->isVector() || input->isScalar()) {
+
+                    for (Nd4jLong e = 0; e < input->lengthOf(); ++e) {
+                        Nd4jLong classNum = indices->e(e);
+                        if (sd::math::nd4j_abs(tempRes.e(classNum) - input->e(e)) < 1.e-5)
+                            output->p(e, gradOut->e(classNum));
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        Nd4jLong classNum = indices->e(i);
+                        NDArray* current = listOfTensors.at(i);
+                        NDArray* currentOut = listOfOutTensors.at(i);
+                        NDArray* currentGradOut = listOfGradOuts.at(classNum);
+                        for (int e = 0; e < current->lengthOf(); e++) {
+                            if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->e(e) - current->e(e)) < 1.e-5)
+                                currentOut->p(e, currentGradOut->e(e));
+                        }
+                    }
+                }
+
+                return ND4J_STATUS_OK;
+            }
+
+            int unsortedSegmentMaxFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(output->dataType(), return unsortedSegmentMaxFunctorBP_, (context, input, indices, gradOut, numOfClasses, output), NUMERIC_TYPES);
+            }
+            BUILD_SINGLE_TEMPLATE(template int unsortedSegmentMaxFunctorBP_, (sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+
+            template 
+            static int unsortedSegmentMinFunctorBP_(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+                auto tempRes = gradOut->dup();
+                unsortedSegmentMinFunctor(context, input, indices, numOfClasses, &tempRes);
+                if (input->isVector() || input->isScalar()) {
+
+                    auto func = PRAGMA_THREADS_FOR {
+                        for (auto e = start; e < stop; e++) {
+                            auto classNum = indices->e(e);
+                            if (sd::math::nd4j_abs(tempRes.t(classNum) - input->t(e)) < 1.e-6)
+                                output->r(e) = gradOut->t(classNum);
+                        }
+                    };
+
+                    samediff::Threads::parallel_for(func, 0, input->lengthOf());
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto current = listOfTensors.at(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
+
+                        for (Nd4jLong e = 0; e < current->lengthOf(); e++) {
+                            if (sd::math::nd4j_abs(listOfBPTensors.at(classNum)->t(e) - current->t(e)) < 1.e-6)
+                                currentOut->r(e) = currentGradOut->t(e);
+                        }
+                    }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
+                }
+
+                return ND4J_STATUS_OK;
+            }
+
+            int unsortedSegmentMinFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+                BUILD_SINGLE_SELECTOR(output->dataType(), return unsortedSegmentMinFunctorBP_, (context, input, indices, gradOut, numOfClasses, output), NUMERIC_TYPES);
+            }
+            BUILD_SINGLE_TEMPLATE(template int unsortedSegmentMinFunctorBP_, (sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output), NUMERIC_TYPES);
+
+            int unsortedSegmentMeanFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+
+                MAP_IMPL classCount;//(numClasses);
+
+                for (Nd4jLong count = 0; count < numOfClasses; ++count) {
+                    classCount[count] = 0;
+                }
+
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                    classCount[indices->e(e)]++;
+                }
+
+                // if input is a vector: (as if in doc sample)
+                if (input->isVector() || input->isScalar()) {
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                        Nd4jLong classNum = indices->e(e);
+                        output->p(e, gradOut->e(classNum) / classCount[classNum]);
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        Nd4jLong classNum = indices->e(i);
+                        NDArray* current = listOfTensors.at(i);
+                        NDArray* currentOut = listOfOutTensors.at(i);
+                        NDArray* currentGradOut = listOfGradOuts.at(classNum);
+                        currentOut->assign(*currentGradOut / double(classCount[classNum]));
+                    }
+                }
+                return ND4J_STATUS_OK;
+            }
+
+            int unsortedSegmentSumFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+
+                // if input is a vector: (as if in doc sample)
+                Nd4jLong idx = indices->e(0);
+                if (input->isVector() || input->isScalar()) {
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                        Nd4jLong classNum = indices->e(e);
+                        output->p(e, gradOut->e(classNum));
+                    }
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
+
+                        currentOut->assign(currentGradOut);
+                    }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
+                }
+                return Status::OK();
+            }
+
+            int unsortedSegmentProdFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+
+                auto tempRes = gradOut->dup();
+                unsortedSegmentProdFunctor(context, input, indices, numOfClasses, &tempRes);
+                if (input->isVector() || input->isScalar()) {
+                    auto func = PRAGMA_THREADS_FOR {
+                        for (auto e = start; e < stop; e++) {
+                            auto classNum = indices->e(e);
+                            output->p(e, gradOut->e(classNum) * tempRes.e(classNum) / input->e(e));
+                        }
+                    };
+
+                    samediff::Threads::parallel_for(func, 0, indices->lengthOf());
+                }
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfBPTensors = tempRes.allTensorsAlongDimension(restDims);
+                    ResultSet listOfGradOuts = gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors = input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors = output->allTensorsAlongDimension(restDims);
+
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto current = listOfTensors.at(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
+                        auto currentFFOut = listOfBPTensors.at(classNum);
+
+                        currentOut->assign((*currentFFOut) * (*currentGradOut) / (*current));
+                    }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
+                }
+
+                return Status::OK();
+            }
 
 //    template 
-    int unsortedSegmentSqrtNFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
-            MAP_IMPL classCount;//(numClasses);
+            int unsortedSegmentSqrtNFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output) {
+                MAP_IMPL classCount;//(numClasses);
 
-        for (Nd4jLong count = 0; count < numOfClasses; ++count) {
-            classCount[count] = 0;
-        }
-
-        for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
-            classCount[indices->e(e)]++;
-        }
-
-        // if input is a vector: (as if in doc sample)
-        if (input->isVector()) {
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong e = 0; e < indices->lengthOf(); e++) {
-                    auto classNum = indices->e(e);
-                    output->p(e, gradOut->e(classNum) / sd::math::nd4j_sqrt(classCount[classNum]));
+                for (Nd4jLong count = 0; count < numOfClasses; ++count) {
+                    classCount[count] = 0;
                 }
-            //};
 
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
-        }
-        else {
-            auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+                for (Nd4jLong e = 0; e < indices->lengthOf(); ++e) {
+                    classCount[indices->e(e)]++;
+                }
 
-            ResultSet listOfGradOuts  =gradOut->allTensorsAlongDimension(restDims);
-            ResultSet listOfTensors  =input->allTensorsAlongDimension(restDims);
-            ResultSet listOfOutTensors  =output->allTensorsAlongDimension(restDims);
-
-            //auto func = PRAGMA_THREADS_FOR {
-                for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
-                    auto classNum = indices->e(i);
-                    auto current = listOfTensors.at(i);
-                    auto currentOut = listOfOutTensors.at(i);
-                    auto currentGradOut = listOfGradOuts.at(classNum);
-
-                    for (int e = 0; e < current->lengthOf(); e++) {
-                        currentOut->p(e, currentGradOut->e(e) / sd::math::nd4j_sqrt(classCount[classNum]));
+                // if input is a vector: (as if in doc sample)
+                if (input->isVector() || input->isScalar()) {
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong e = 0; e < indices->lengthOf(); e++) {
+                        auto classNum = indices->e(e);
+                        output->p(e, gradOut->e(classNum) / sd::math::nd4j_sqrt(classCount[classNum]));
                     }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
                 }
-            //};
+                else {
+                    auto restDims = ShapeUtils::evalDimsToExclude(input->rankOf(), {0});
+
+                    ResultSet listOfGradOuts  =gradOut->allTensorsAlongDimension(restDims);
+                    ResultSet listOfTensors  =input->allTensorsAlongDimension(restDims);
+                    ResultSet listOfOutTensors  =output->allTensorsAlongDimension(restDims);
+
+                    //auto func = PRAGMA_THREADS_FOR {
+                    for (Nd4jLong i = 0; i < indices->lengthOf(); i++) {
+                        auto classNum = indices->e(i);
+                        auto current = listOfTensors.at(i);
+                        auto currentOut = listOfOutTensors.at(i);
+                        auto currentGradOut = listOfGradOuts.at(classNum);
+
+                        for (int e = 0; e < current->lengthOf(); e++) {
+                            currentOut->p(e, currentGradOut->e(e) / sd::math::nd4j_sqrt(classCount[classNum]));
+                        }
+                    }
+                    //};
+
+                    //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
+                }
+                return Status::OK();
+            }
 
-            //samediff::Threads::parallel_for(func, 0, indices->lengthOf());
         }
-        return Status::OK();
     }
-
-}
-}
 }
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/sequence_mask.cpp b/libnd4j/include/ops/declarable/helpers/cpu/sequence_mask.cpp
index 3c8ce573e..ffc76f7ea 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/sequence_mask.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/sequence_mask.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/sg_cb.cpp b/libnd4j/include/ops/declarable/helpers/cpu/sg_cb.cpp
index 07cbca04e..1074339cf 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/sg_cb.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/sg_cb.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/shift.cpp b/libnd4j/include/ops/declarable/helpers/cpu/shift.cpp
index 9dfeac2ec..f7ca523ef 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/shift.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/shift.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/softmax.cpp b/libnd4j/include/ops/declarable/helpers/cpu/softmax.cpp
index 7fd03f8e4..e26f5eb40 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/softmax.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/softmax.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/solve.cpp b/libnd4j/include/ops/declarable/helpers/cpu/solve.cpp
index a0034bb5d..f1fd57e3d 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/solve.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/solve.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/split.cpp b/libnd4j/include/ops/declarable/helpers/cpu/split.cpp
index 48c6c4903..4823fbd38 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/split.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/split.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  //  @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/sru.cpp b/libnd4j/include/ops/declarable/helpers/cpu/sru.cpp
index ecd5ead2b..c06ace2e0 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/sru.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/sru.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/stack.cpp b/libnd4j/include/ops/declarable/helpers/cpu/stack.cpp
index 3db322fc8..27cc756c8 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/stack.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/stack.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/svd.cpp b/libnd4j/include/ops/declarable/helpers/cpu/svd.cpp
index 6910960ef..004acbcfd 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/svd.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/svd.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/tile.cpp b/libnd4j/include/ops/declarable/helpers/cpu/tile.cpp
index 4edb9e2a0..d2c505ba2 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/tile.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/tile.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/toggle_bits.cpp b/libnd4j/include/ops/declarable/helpers/cpu/toggle_bits.cpp
index 67b4e0f77..1a8072574 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/toggle_bits.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/toggle_bits.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/top_k.cpp b/libnd4j/include/ops/declarable/helpers/cpu/top_k.cpp
index 65edeb71b..c8f9d7698 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/top_k.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/top_k.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/trace.cpp b/libnd4j/include/ops/declarable/helpers/cpu/trace.cpp
index d544fa24e..86ea3ce9d 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/trace.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/trace.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/triangular_solve.cpp b/libnd4j/include/ops/declarable/helpers/cpu/triangular_solve.cpp
index 86847da16..cff33e75b 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/triangular_solve.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/triangular_solve.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/triu.cpp b/libnd4j/include/ops/declarable/helpers/cpu/triu.cpp
index eb2074865..346529e70 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/triu.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/triu.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaDelta.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaDelta.cpp
index 78268b2dc..496b5e75e 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaDelta.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaDelta.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaGrad.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaGrad.cpp
index e65f34e72..0ecd474eb 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaGrad.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaGrad.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaMax.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaMax.cpp
index 6c7d0d322..b217e74b6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaMax.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdaMax.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdam.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdam.cpp
index 2d670949f..e8d91c3e6 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterAdam.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterAdam.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterAmsGrad.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterAmsGrad.cpp
index 7cb05075c..74cf0065b 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterAmsGrad.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterAmsGrad.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterNadam.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterNadam.cpp
index 40f9c9407..78167e56c 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterNadam.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterNadam.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterNesterovs.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterNesterovs.cpp
index 1d8bb8d45..37211fa93 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterNesterovs.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterNesterovs.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/updaterRmsProp.cpp b/libnd4j/include/ops/declarable/helpers/cpu/updaterRmsProp.cpp
index 473b43cf8..89f3379a5 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/updaterRmsProp.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/updaterRmsProp.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/weights.cpp b/libnd4j/include/ops/declarable/helpers/cpu/weights.cpp
index ebdfc674b..9b9188137 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/weights.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/weights.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cpu/zeta.cpp b/libnd4j/include/ops/declarable/helpers/cpu/zeta.cpp
index d127fc166..40170935c 100644
--- a/libnd4j/include/ops/declarable/helpers/cpu/zeta.cpp
+++ b/libnd4j/include/ops/declarable/helpers/cpu/zeta.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/crop_and_resize.h b/libnd4j/include/ops/declarable/helpers/crop_and_resize.h
index cff96f93e..daff49fea 100644
--- a/libnd4j/include/ops/declarable/helpers/crop_and_resize.h
+++ b/libnd4j/include/ops/declarable/helpers/crop_and_resize.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cross.h b/libnd4j/include/ops/declarable/helpers/cross.h
index bd1e2a61d..7f9944177 100644
--- a/libnd4j/include/ops/declarable/helpers/cross.h
+++ b/libnd4j/include/ops/declarable/helpers/cross.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/BarnesHutTsne.cu b/libnd4j/include/ops/declarable/helpers/cuda/BarnesHutTsne.cu
index 70ff75b96..92b64e2fe 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/BarnesHutTsne.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/BarnesHutTsne.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/activations.cu b/libnd4j/include/ops/declarable/helpers/cuda/activations.cu
index 205929119..d7e93df34 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/activations.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/activations.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/addBias.cu b/libnd4j/include/ops/declarable/helpers/cuda/addBias.cu
index 18474f2c7..e71253394 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/addBias.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/addBias.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/adjust_hue.cu b/libnd4j/include/ops/declarable/helpers/cuda/adjust_hue.cu
index fff4bfb11..19bd1f77c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/adjust_hue.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/adjust_hue.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/adjust_saturation.cu b/libnd4j/include/ops/declarable/helpers/cuda/adjust_saturation.cu
index 36837db29..bad93395f 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/adjust_saturation.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/adjust_saturation.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/axis.cu b/libnd4j/include/ops/declarable/helpers/cuda/axis.cu
index 1dd00f688..6ea035dab 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/axis.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/axis.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/batched_gemm.cu b/libnd4j/include/ops/declarable/helpers/cuda/batched_gemm.cu
index 40540f65d..572da5c39 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/batched_gemm.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/batched_gemm.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/batchnorm.cu b/libnd4j/include/ops/declarable/helpers/cuda/batchnorm.cu
index f7f8bf966..7196f34a0 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/batchnorm.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/batchnorm.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/betaInc.cu b/libnd4j/include/ops/declarable/helpers/cuda/betaInc.cu
index a18ec1fda..ab1dfce9a 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/betaInc.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/betaInc.cu
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (t2) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/clip.cu b/libnd4j/include/ops/declarable/helpers/cuda/clip.cu
index 8f1be21e4..af7efed71 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/clip.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/clip.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/col2im.cu b/libnd4j/include/ops/declarable/helpers/cuda/col2im.cu
index 62f60cc73..c8b7151ef 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/col2im.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/col2im.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/compare_elem.cu b/libnd4j/include/ops/declarable/helpers/cuda/compare_elem.cu
index 8d0bede62..ce1b9f170 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/compare_elem.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/compare_elem.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/compression/compression.cu b/libnd4j/include/ops/declarable/helpers/cuda/compression/compression.cu
index 5de20c57f..b0feae84b 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/compression/compression.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/compression/compression.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 //
 //  @author sgazeos@gmail.com
 //
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/compression/threshold.cu b/libnd4j/include/ops/declarable/helpers/cuda/compression/threshold.cu
index bbe6d6881..c10c2c0d8 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/compression/threshold.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/compression/threshold.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/concat.cu b/libnd4j/include/ops/declarable/helpers/cuda/concat.cu
index 400c25f88..f82b23bb2 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/concat.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/concat.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/confusion.cu b/libnd4j/include/ops/declarable/helpers/cuda/confusion.cu
index fd676ba83..f5a662b9c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/confusion.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/confusion.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_col2vol.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_col2vol.cu
index 80df76c91..0d790eca0 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_col2vol.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_col2vol.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2d.cu
index 494ce4a81..f443a924e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2dBP.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2dBP.cu
index dbf4ee390..dff0a2626 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2dBP.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_conv2dBP.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2d.cu
index bbf5d5892..0205db4c3 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2dBP.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2dBP.cu
index b06af6166..1947e2919 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2dBP.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_depthwiseConv2dBP.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2d.cu
index c146be7bf..bea1f8a4b 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
@@ -315,11 +318,11 @@ void ConvolutionUtils::pooling2d(sd::graph::Context& block, const NDArray& input
     switch (poolingMode) {
 
         case MAX_POOL: {
-                BUILD_SINGLE_SELECTOR_TWICE(input.dataType(), maxPooling2dCudaLauncher, (*block.launchContext(), input.specialBuffer(), input.specialShapeInfo(), output.specialBuffer(), output.specialShapeInfo(), kH, kW, sH, sW, pH, pW, dH, dW, extraParam0), FLOAT_TYPES);
+                BUILD_SINGLE_SELECTOR_TWICE(input.dataType(), maxPooling2dCudaLauncher, (*block.launchContext(), input.specialBuffer(), input.specialShapeInfo(), output.specialBuffer(), output.specialShapeInfo(), kH, kW, sH, sW, pH, pW, dH, dW, extraParam0), NUMERIC_TYPES);
             }
             break;
         case AVG_POOL: {
-                BUILD_SINGLE_SELECTOR_TWICE(input.dataType(), avgPooling2dCudaLauncher, (*block.launchContext(), input.specialBuffer(), input.specialShapeInfo(), output.specialBuffer(), output.specialShapeInfo(), kH, kW, sH, sW, pH, pW, dH, dW, extraParam0), FLOAT_TYPES);
+                BUILD_SINGLE_SELECTOR_TWICE(input.dataType(), avgPooling2dCudaLauncher, (*block.launchContext(), input.specialBuffer(), input.specialShapeInfo(), output.specialBuffer(), output.specialShapeInfo(), kH, kW, sH, sW, pH, pW, dH, dW, extraParam0), NUMERIC_TYPES);
             }
             break;
         case PNORM_POOL: {
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2dBP.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2dBP.cu
index 62f4787dd..90174a557 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2dBP.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling2dBP.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
@@ -178,7 +181,7 @@ void ConvolutionUtils::pooling2dBP(sd::graph::Context& block, const NDArray& inp
     const int sharedMem = gradO.rankOf() * sizeof(Nd4jLong) * threadsPerBlock + 128;
 
     NDArray::prepareSpecialUse({&gradI}, {&input, &gradO});
-    BUILD_SINGLE_SELECTOR(input.dataType(), pooling2dBPCudaLauncher, (blocksPerGrid, threadsPerBlock, sharedMem, block.launchContext()->getCudaStream(), input.specialBuffer(), input.specialShapeInfo(), gradO.specialBuffer(), gradO.specialShapeInfo(), gradI.specialBuffer(), gradI.specialShapeInfo(), kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), FLOAT_TYPES);
+    BUILD_SINGLE_SELECTOR(input.dataType(), pooling2dBPCudaLauncher, (blocksPerGrid, threadsPerBlock, sharedMem, block.launchContext()->getCudaStream(), input.specialBuffer(), input.specialShapeInfo(), gradO.specialBuffer(), gradO.specialShapeInfo(), gradI.specialBuffer(), gradI.specialShapeInfo(), kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), NUMERIC_TYPES);
     NDArray::registerSpecialUse({&gradI}, {&input, &gradO});
 
     manager.synchronize();
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3d.cu
index 0a3bfc9b6..a9dd3296e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3dBP.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3dBP.cu
index fd78bb80b..e5ba8d09f 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3dBP.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_pooling3dBP.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_sconv2d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_sconv2d.cu
index 3a9ed5364..372bf5636 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_sconv2d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_sconv2d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2d.cu
index ee1fa8924..facf24e72 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2dBP.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2dBP.cu
index c6864c48a..72e90f64a 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2dBP.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling2dBP.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3d.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3d.cu
index 1acb4307f..53ca189f5 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3d.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3dBP.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3dBP.cu
index 5a1e08c07..e013c2df9 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3dBP.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_upsampling3dBP.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_vol2col.cu b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_vol2col.cu
index c2c5fb3ef..87f47a90d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/convolutions_vol2col.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/convolutions_vol2col.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/cross.cu b/libnd4j/include/ops/declarable/helpers/cuda/cross.cu
index 8de4f65fd..2c1b5e9e3 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/cross.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/cross.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/d_t_s.cu b/libnd4j/include/ops/declarable/helpers/cuda/d_t_s.cu
index 35d8bf033..b2e6c9d0e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/d_t_s.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/d_t_s.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/diGamma.cu b/libnd4j/include/ops/declarable/helpers/cuda/diGamma.cu
index ff217bdb6..18af21e34 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/diGamma.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/diGamma.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/diag.cu b/libnd4j/include/ops/declarable/helpers/cuda/diag.cu
index f011f4095..2f62df426 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/diag.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/diag.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/dilation2d.cu b/libnd4j/include/ops/declarable/helpers/cuda/dilation2d.cu
index 0d25552c9..9b1c88eaa 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/dilation2d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/dilation2d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/dropout.cu b/libnd4j/include/ops/declarable/helpers/cuda/dropout.cu
index 4e0fdb377..df25f0b33 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/dropout.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/dropout.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/dynamic.cu b/libnd4j/include/ops/declarable/helpers/cuda/dynamic.cu
index bce7316ef..9d8126317 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/dynamic.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/dynamic.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/extract_patches.cu b/libnd4j/include/ops/declarable/helpers/cuda/extract_patches.cu
index e1c506879..ce7fcc1c7 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/extract_patches.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/extract_patches.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/fake_quantization.cu b/libnd4j/include/ops/declarable/helpers/cuda/fake_quantization.cu
index 7fcd71dba..1686999f8 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/fake_quantization.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/fake_quantization.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/flatten.cu b/libnd4j/include/ops/declarable/helpers/cuda/flatten.cu
index aa2ff8297..a953388cf 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/flatten.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/flatten.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/gather.cu b/libnd4j/include/ops/declarable/helpers/cuda/gather.cu
index 26778aa63..0e1cf944b 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/gather.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/gather.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/gather_nd.cu b/libnd4j/include/ops/declarable/helpers/cuda/gather_nd.cu
index d72f3e1bc..e8e8f89ee 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/gather_nd.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/gather_nd.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/gradient.cu b/libnd4j/include/ops/declarable/helpers/cuda/gradient.cu
index f165d88b7..baebff6ed 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/gradient.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/gradient.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/hamming.cu b/libnd4j/include/ops/declarable/helpers/cuda/hamming.cu
index 67847518d..22c95b009 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/hamming.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/hamming.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/hashcode.cu b/libnd4j/include/ops/declarable/helpers/cuda/hashcode.cu
index 1c4ca9152..2152f77c4 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/hashcode.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/hashcode.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/histogram.cu b/libnd4j/include/ops/declarable/helpers/cuda/histogram.cu
index 6d7310fc0..7747c845b 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/histogram.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/histogram.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/histogramFixedWidth.cu b/libnd4j/include/ops/declarable/helpers/cuda/histogramFixedWidth.cu
index c6041b33b..551b58e69 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/histogramFixedWidth.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/histogramFixedWidth.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/im2col.cu b/libnd4j/include/ops/declarable/helpers/cuda/im2col.cu
index 08f5959e8..5aeccf7bc 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/im2col.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/im2col.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/image_draw_bounding_boxes.cu b/libnd4j/include/ops/declarable/helpers/cuda/image_draw_bounding_boxes.cu
index 47319f100..dfd0c6e03 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/image_draw_bounding_boxes.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/image_draw_bounding_boxes.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/image_resize.cu b/libnd4j/include/ops/declarable/helpers/cuda/image_resize.cu
index 3365d5d62..fb7ca52ae 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/image_resize.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/image_resize.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/image_suppression.cu b/libnd4j/include/ops/declarable/helpers/cuda/image_suppression.cu
index 8b7e8ee57..00d18d215 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/image_suppression.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/image_suppression.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/imagesHelpers.cu b/libnd4j/include/ops/declarable/helpers/cuda/imagesHelpers.cu
index 749f60c11..d73ea22d0 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/imagesHelpers.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/imagesHelpers.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/indexReductions.cu b/libnd4j/include/ops/declarable/helpers/cuda/indexReductions.cu
index 820a6c258..220bb7d5e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/indexReductions.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/indexReductions.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/ismax.cu b/libnd4j/include/ops/declarable/helpers/cuda/ismax.cu
index f6e233aab..25d4d1561 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/ismax.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/ismax.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/legacy/relu.cu b/libnd4j/include/ops/declarable/helpers/cuda/legacy/relu.cu
index ab65ed96b..769c4eced 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/legacy/relu.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/legacy/relu.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/legacy/tanh.cu b/libnd4j/include/ops/declarable/helpers/cuda/legacy/tanh.cu
index 56a57614f..451dea96c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/legacy/tanh.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/legacy/tanh.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/legacy_helper.cu b/libnd4j/include/ops/declarable/helpers/cuda/legacy_helper.cu
index 181050919..b11b5b455 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/legacy_helper.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/legacy_helper.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/lgamma.cu b/libnd4j/include/ops/declarable/helpers/cuda/lgamma.cu
index 2de455d0f..7667c1c29 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/lgamma.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/lgamma.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author George A. Shulinok 
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/lrn.cu b/libnd4j/include/ops/declarable/helpers/cuda/lrn.cu
index 123c06ac5..a081f3a6d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/lrn.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/lrn.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/lstm.cu b/libnd4j/include/ops/declarable/helpers/cuda/lstm.cu
index af0c413d6..bc15c4774 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/lstm.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/lstm.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/lstsq.cu b/libnd4j/include/ops/declarable/helpers/cuda/lstsq.cu
index b28efff80..b10bea439 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/lstsq.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/lstsq.cu
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/lup.cu b/libnd4j/include/ops/declarable/helpers/cuda/lup.cu
index c59ef9489..6a51ee94c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/lup.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/lup.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/matrixSetDiag.cu b/libnd4j/include/ops/declarable/helpers/cuda/matrixSetDiag.cu
index 97124c3db..29a2ebdc2 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/matrixSetDiag.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/matrixSetDiag.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/matrix_band.cu b/libnd4j/include/ops/declarable/helpers/cuda/matrix_band.cu
index 446d57b27..ea2e09c66 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/matrix_band.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/matrix_band.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/matrix_diag_part.cu b/libnd4j/include/ops/declarable/helpers/cuda/matrix_diag_part.cu
index b8edcbc26..3ab7db81f 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/matrix_diag_part.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/matrix_diag_part.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/max_pooling.cu b/libnd4j/include/ops/declarable/helpers/cuda/max_pooling.cu
index 8c30e510f..eaae9192a 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/max_pooling.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/max_pooling.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/maximum.cu b/libnd4j/include/ops/declarable/helpers/cuda/maximum.cu
index c4c8783ff..71270f34c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/maximum.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/maximum.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/merge.cu b/libnd4j/include/ops/declarable/helpers/cuda/merge.cu
index 3c580ee33..34e105834 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/merge.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/merge.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/meshgrid.cu b/libnd4j/include/ops/declarable/helpers/cuda/meshgrid.cu
index 918dca510..68bf4b638 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/meshgrid.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/meshgrid.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/minimum.cu b/libnd4j/include/ops/declarable/helpers/cuda/minimum.cu
index b43bb418e..b3057a074 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/minimum.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/minimum.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/nth_element.cu b/libnd4j/include/ops/declarable/helpers/cuda/nth_element.cu
index c2f34f9fe..4b4adb56d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/nth_element.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/nth_element.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/one_hot.cu b/libnd4j/include/ops/declarable/helpers/cuda/one_hot.cu
index f15200459..5a36106f1 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/one_hot.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/one_hot.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/pad.cu b/libnd4j/include/ops/declarable/helpers/cuda/pad.cu
index 361cae22c..1ee0a6333 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/pad.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/pad.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/percentile.cu b/libnd4j/include/ops/declarable/helpers/cuda/percentile.cu
index 1bc50fad7..8c3cc95cc 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/percentile.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/percentile.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/polyGamma.cu b/libnd4j/include/ops/declarable/helpers/cuda/polyGamma.cu
index 3e82632e2..0c9043cb7 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/polyGamma.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/polyGamma.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/prefix.cu b/libnd4j/include/ops/declarable/helpers/cuda/prefix.cu
index 959b45865..656d61f91 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/prefix.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/prefix.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/print_variable.cu b/libnd4j/include/ops/declarable/helpers/cuda/print_variable.cu
index 6733ce642..bc1de5dcf 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/print_variable.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/print_variable.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/qr.cu b/libnd4j/include/ops/declarable/helpers/cuda/qr.cu
index e499f21d0..137a9032e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/qr.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/qr.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/random.cu b/libnd4j/include/ops/declarable/helpers/cuda/random.cu
index e13883515..de7ff631e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/random.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/random.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/randomShuffle.cu b/libnd4j/include/ops/declarable/helpers/cuda/randomShuffle.cu
index bb7998e60..77b60daef 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/randomShuffle.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/randomShuffle.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/random_crop.cu b/libnd4j/include/ops/declarable/helpers/cuda/random_crop.cu
index 0489103f9..e33485d70 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/random_crop.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/random_crop.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/range.cu b/libnd4j/include/ops/declarable/helpers/cuda/range.cu
index e33f95c52..148efd19b 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/range.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/range.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/reverse.cu b/libnd4j/include/ops/declarable/helpers/cuda/reverse.cu
index 6ae1b22a8..623c6cc17 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/reverse.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/reverse.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/roll.cu b/libnd4j/include/ops/declarable/helpers/cuda/roll.cu
index a5149c978..2fe858545 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/roll.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/roll.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/s_t_b.cu b/libnd4j/include/ops/declarable/helpers/cuda/s_t_b.cu
index 8b7bfb2b5..2e0a1e114 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/s_t_b.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/s_t_b.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/s_t_d.cu b/libnd4j/include/ops/declarable/helpers/cuda/s_t_d.cu
index 19a1937dd..97dad435d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/s_t_d.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/s_t_d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/scatter.cu b/libnd4j/include/ops/declarable/helpers/cuda/scatter.cu
index cbe8895b2..293663a29 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/scatter.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/scatter.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/scatter_simple.cu b/libnd4j/include/ops/declarable/helpers/cuda/scatter_simple.cu
index 3b422a5c2..d266d5dd6 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/scatter_simple.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/scatter_simple.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/scatter_update.cu b/libnd4j/include/ops/declarable/helpers/cuda/scatter_update.cu
index 3a3bfef12..3f9c91b1d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/scatter_update.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/scatter_update.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment.cu
index 60d00fb60..39968d4d8 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment_max.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment_max.cu
index d623c8734..15349a0b8 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment_max.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment_max.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment_mean.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment_mean.cu
index 5ccecf37c..3fd1aed0d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment_mean.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment_mean.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment_min.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment_min.cu
index 9e825c701..6b255c482 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment_min.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment_min.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment_prod.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment_prod.cu
index 44e077300..909c57aa3 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment_prod.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment_prod.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment_sqrtn.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment_sqrtn.cu
index 20f232332..cc1ce644a 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment_sqrtn.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment_sqrtn.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/segment_sum.cu b/libnd4j/include/ops/declarable/helpers/cuda/segment_sum.cu
index a2050d695..90674214a 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/segment_sum.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/segment_sum.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/sequence_mask.cu b/libnd4j/include/ops/declarable/helpers/cuda/sequence_mask.cu
index 51b7590c0..a64ae546d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/sequence_mask.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/sequence_mask.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/sg_cb.cu b/libnd4j/include/ops/declarable/helpers/cuda/sg_cb.cu
index 3957f23d5..d53871c9c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/sg_cb.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/sg_cb.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/shift.cu b/libnd4j/include/ops/declarable/helpers/cuda/shift.cu
index c69285ef2..206e1df46 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/shift.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/shift.cu
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/solve.cu b/libnd4j/include/ops/declarable/helpers/cuda/solve.cu
index 43ef78c3e..324fe6a76 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/solve.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/solve.cu
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/split.cu b/libnd4j/include/ops/declarable/helpers/cuda/split.cu
index 19c58b89e..f754866a7 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/split.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/split.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/sru.cu b/libnd4j/include/ops/declarable/helpers/cuda/sru.cu
index b59ac0052..8870a5a64 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/sru.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/sru.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/stack.cu b/libnd4j/include/ops/declarable/helpers/cuda/stack.cu
index 2bb09c3b5..13ce1582c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/stack.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/stack.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/svd.cu b/libnd4j/include/ops/declarable/helpers/cuda/svd.cu
index 33dd0251a..ba04a9f2c 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/svd.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/svd.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/toggle_bits.cu b/libnd4j/include/ops/declarable/helpers/cuda/toggle_bits.cu
index 2138e1188..e2b45e357 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/toggle_bits.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/toggle_bits.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/top_k.cu b/libnd4j/include/ops/declarable/helpers/cuda/top_k.cu
index c6aba57bc..4947bf1b5 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/top_k.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/top_k.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/transforms.cu b/libnd4j/include/ops/declarable/helpers/cuda/transforms.cu
index f1b57f52c..b285e8cb8 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/transforms.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/transforms.cu
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com), created on 20.04.2018
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/triangular_solve.cu b/libnd4j/include/ops/declarable/helpers/cuda/triangular_solve.cu
index e77bb4e19..68d062441 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/triangular_solve.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/triangular_solve.cu
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaDelta.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaDelta.cu
index c096c4294..717d632b1 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaDelta.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaDelta.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaGrad.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaGrad.cu
index 50a43986c..92b5a6256 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaGrad.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaGrad.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaMax.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaMax.cu
index 09301d05a..1adaa7a5e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaMax.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdaMax.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdam.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdam.cu
index 91d79809c..6ee9daa6a 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterAdam.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterAdam.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterAmsGrad.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterAmsGrad.cu
index ff3bc1e4b..f9932248e 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterAmsGrad.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterAmsGrad.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterNadam.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterNadam.cu
index 141ed27db..a2ed4079d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterNadam.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterNadam.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterNesterovs.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterNesterovs.cu
index 75e1f5938..75ddf285f 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterNesterovs.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterNesterovs.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/updaterRmsProp.cu b/libnd4j/include/ops/declarable/helpers/cuda/updaterRmsProp.cu
index 26f7253d2..fddeeb954 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/updaterRmsProp.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/updaterRmsProp.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/weights.cu b/libnd4j/include/ops/declarable/helpers/cuda/weights.cu
index 1620820a5..7064c7d5b 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/weights.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/weights.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/cuda/zeta.cu b/libnd4j/include/ops/declarable/helpers/cuda/zeta.cu
index 660c49325..234ab378d 100644
--- a/libnd4j/include/ops/declarable/helpers/cuda/zeta.cu
+++ b/libnd4j/include/ops/declarable/helpers/cuda/zeta.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/d_t_s.h b/libnd4j/include/ops/declarable/helpers/d_t_s.h
index e5ac58e5a..540df9b7d 100644
--- a/libnd4j/include/ops/declarable/helpers/d_t_s.h
+++ b/libnd4j/include/ops/declarable/helpers/d_t_s.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/diag.h b/libnd4j/include/ops/declarable/helpers/diag.h
index af84eec01..61d38c9ab 100644
--- a/libnd4j/include/ops/declarable/helpers/diag.h
+++ b/libnd4j/include/ops/declarable/helpers/diag.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/dilation2d.h b/libnd4j/include/ops/declarable/helpers/dilation2d.h
index 281a2f26a..b8b8d7142 100644
--- a/libnd4j/include/ops/declarable/helpers/dilation2d.h
+++ b/libnd4j/include/ops/declarable/helpers/dilation2d.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/dropout.h b/libnd4j/include/ops/declarable/helpers/dropout.h
index 052b68f33..b626a4333 100644
--- a/libnd4j/include/ops/declarable/helpers/dropout.h
+++ b/libnd4j/include/ops/declarable/helpers/dropout.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/dynamic.h b/libnd4j/include/ops/declarable/helpers/dynamic.h
index 29452cb8f..a328953e4 100644
--- a/libnd4j/include/ops/declarable/helpers/dynamic.h
+++ b/libnd4j/include/ops/declarable/helpers/dynamic.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/extract_patches.h b/libnd4j/include/ops/declarable/helpers/extract_patches.h
index 63d5e94f4..342703399 100644
--- a/libnd4j/include/ops/declarable/helpers/extract_patches.h
+++ b/libnd4j/include/ops/declarable/helpers/extract_patches.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/fake_quantization.h b/libnd4j/include/ops/declarable/helpers/fake_quantization.h
index b5f4dff00..d56abef0e 100644
--- a/libnd4j/include/ops/declarable/helpers/fake_quantization.h
+++ b/libnd4j/include/ops/declarable/helpers/fake_quantization.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/flatten.h b/libnd4j/include/ops/declarable/helpers/flatten.h
index da6253dfa..20a7326fe 100644
--- a/libnd4j/include/ops/declarable/helpers/flatten.h
+++ b/libnd4j/include/ops/declarable/helpers/flatten.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/gammaMathFunc.h b/libnd4j/include/ops/declarable/helpers/gammaMathFunc.h
index 2f99f3777..2e3f8b3f8 100644
--- a/libnd4j/include/ops/declarable/helpers/gammaMathFunc.h
+++ b/libnd4j/include/ops/declarable/helpers/gammaMathFunc.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/helpers/gather.h b/libnd4j/include/ops/declarable/helpers/gather.h
index f38708385..0d8e8386b 100644
--- a/libnd4j/include/ops/declarable/helpers/gather.h
+++ b/libnd4j/include/ops/declarable/helpers/gather.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/gradient.h b/libnd4j/include/ops/declarable/helpers/gradient.h
index 583396cf3..c978383ae 100644
--- a/libnd4j/include/ops/declarable/helpers/gradient.h
+++ b/libnd4j/include/ops/declarable/helpers/gradient.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/gru.h b/libnd4j/include/ops/declarable/helpers/gru.h
index 9e98e4046..a25bdd38b 100644
--- a/libnd4j/include/ops/declarable/helpers/gru.h
+++ b/libnd4j/include/ops/declarable/helpers/gru.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/hamming.h b/libnd4j/include/ops/declarable/helpers/hamming.h
index 6450d7882..1b9629f4b 100644
--- a/libnd4j/include/ops/declarable/helpers/hamming.h
+++ b/libnd4j/include/ops/declarable/helpers/hamming.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/hashcode.h b/libnd4j/include/ops/declarable/helpers/hashcode.h
index 730249d1a..f4d7a633b 100644
--- a/libnd4j/include/ops/declarable/helpers/hashcode.h
+++ b/libnd4j/include/ops/declarable/helpers/hashcode.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/helpers.h b/libnd4j/include/ops/declarable/helpers/helpers.h
index c36387e6e..efcb5e92b 100644
--- a/libnd4j/include/ops/declarable/helpers/helpers.h
+++ b/libnd4j/include/ops/declarable/helpers/helpers.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/histogram.h b/libnd4j/include/ops/declarable/helpers/histogram.h
index b9738ef07..8fa9efb59 100644
--- a/libnd4j/include/ops/declarable/helpers/histogram.h
+++ b/libnd4j/include/ops/declarable/helpers/histogram.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/histogramFixedWidth.h b/libnd4j/include/ops/declarable/helpers/histogramFixedWidth.h
index 40ba6ffec..f017d7dd0 100644
--- a/libnd4j/include/ops/declarable/helpers/histogramFixedWidth.h
+++ b/libnd4j/include/ops/declarable/helpers/histogramFixedWidth.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/im2col.h b/libnd4j/include/ops/declarable/helpers/im2col.h
index 6b61535f9..ac93b215a 100644
--- a/libnd4j/include/ops/declarable/helpers/im2col.h
+++ b/libnd4j/include/ops/declarable/helpers/im2col.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/image_draw_bounding_boxes.h b/libnd4j/include/ops/declarable/helpers/image_draw_bounding_boxes.h
index 758a02e31..978f94a7d 100644
--- a/libnd4j/include/ops/declarable/helpers/image_draw_bounding_boxes.h
+++ b/libnd4j/include/ops/declarable/helpers/image_draw_bounding_boxes.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/image_resize.h b/libnd4j/include/ops/declarable/helpers/image_resize.h
index bd9e10b58..3dfa09247 100644
--- a/libnd4j/include/ops/declarable/helpers/image_resize.h
+++ b/libnd4j/include/ops/declarable/helpers/image_resize.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author sgazeos@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/image_suppression.h b/libnd4j/include/ops/declarable/helpers/image_suppression.h
index a8d2027b8..560e39b00 100644
--- a/libnd4j/include/ops/declarable/helpers/image_suppression.h
+++ b/libnd4j/include/ops/declarable/helpers/image_suppression.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/imagesHelpers.h b/libnd4j/include/ops/declarable/helpers/imagesHelpers.h
index 3a1666c7a..6af22bb8f 100644
--- a/libnd4j/include/ops/declarable/helpers/imagesHelpers.h
+++ b/libnd4j/include/ops/declarable/helpers/imagesHelpers.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/choose.cpp b/libnd4j/include/ops/declarable/helpers/impl/choose.cpp
index 2f574a52e..b3724e904 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/choose.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/choose.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/gru.cpp b/libnd4j/include/ops/declarable/helpers/impl/gru.cpp
index 277188428..be16a0669 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/gru.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/gru.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * ThnIn program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which nIn available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * dnIntributed under the License nIn dnIntributed on an "AS nIn" BASnIn, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permnInsions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com), created on 15.02.2018, Alex Black
diff --git a/libnd4j/include/ops/declarable/helpers/impl/knn_mindistance.cpp b/libnd4j/include/ops/declarable/helpers/impl/knn_mindistance.cpp
index 1a61587a3..33c9c265c 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/knn_mindistance.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/knn_mindistance.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/listdiff.cpp b/libnd4j/include/ops/declarable/helpers/impl/listdiff.cpp
index 6d937dc0f..065f78660 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/listdiff.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/listdiff.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/lstm.cpp b/libnd4j/include/ops/declarable/helpers/impl/lstm.cpp
index 4ab585e26..7cb395c65 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/lstm.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/lstm.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma, created on 14.02.2018
diff --git a/libnd4j/include/ops/declarable/helpers/impl/lstmLayer.cpp b/libnd4j/include/ops/declarable/helpers/impl/lstmLayer.cpp
index bffd13128..a92b1cc5a 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/lstmLayer.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/lstmLayer.cpp
@@ -1,11 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -14,7 +15,6 @@
  *
  * SPDX-License-Identifier: Apache-2.0
  ******************************************************************************/
-
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
 //
diff --git a/libnd4j/include/ops/declarable/helpers/impl/multiUnique.cpp b/libnd4j/include/ops/declarable/helpers/impl/multiUnique.cpp
index 5989f5246..2e33977aa 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/multiUnique.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/multiUnique.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/rnn.cpp b/libnd4j/include/ops/declarable/helpers/impl/rnn.cpp
index f910f07ed..95e1fdc5f 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/rnn.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/rnn.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/sparse_to_dense.cpp b/libnd4j/include/ops/declarable/helpers/impl/sparse_to_dense.cpp
index 4baa36d65..d10844ebb 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/sparse_to_dense.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/sparse_to_dense.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/impl/sqrtm.cpp b/libnd4j/include/ops/declarable/helpers/impl/sqrtm.cpp
index b8cc6d8ac..9fdd04f10 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/sqrtm.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/sqrtm.cpp
@@ -1,14 +1,16 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
  *
- * ThnIn program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which nIn available at
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
- * dnIntributed under the License nIn dnIntributed on an "AS nIn" BASnIn, WITHOUT
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permnInsions and limitations
+ * License for the specific language governing permissions and limitations
  * under the License.
  *
  * SPDX-License-Identifier: Apache-2.0
diff --git a/libnd4j/include/ops/declarable/helpers/impl/unique.cpp b/libnd4j/include/ops/declarable/helpers/impl/unique.cpp
index c67b713c2..58e2c3cf5 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/unique.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/unique.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/impl/where.cpp b/libnd4j/include/ops/declarable/helpers/impl/where.cpp
index b2d758673..ea6777583 100644
--- a/libnd4j/include/ops/declarable/helpers/impl/where.cpp
+++ b/libnd4j/include/ops/declarable/helpers/impl/where.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/ismax.h b/libnd4j/include/ops/declarable/helpers/ismax.h
index 6052b3624..fa3044a7d 100644
--- a/libnd4j/include/ops/declarable/helpers/ismax.h
+++ b/libnd4j/include/ops/declarable/helpers/ismax.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/knn.h b/libnd4j/include/ops/declarable/helpers/knn.h
index 3a3494a12..9f896b608 100644
--- a/libnd4j/include/ops/declarable/helpers/knn.h
+++ b/libnd4j/include/ops/declarable/helpers/knn.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/legacy_helpers.h b/libnd4j/include/ops/declarable/helpers/legacy_helpers.h
index e3191425d..8475e7718 100644
--- a/libnd4j/include/ops/declarable/helpers/legacy_helpers.h
+++ b/libnd4j/include/ops/declarable/helpers/legacy_helpers.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/lgamma.h b/libnd4j/include/ops/declarable/helpers/lgamma.h
index 184e33556..2f71fa5a1 100644
--- a/libnd4j/include/ops/declarable/helpers/lgamma.h
+++ b/libnd4j/include/ops/declarable/helpers/lgamma.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author George A. Shulinok 
diff --git a/libnd4j/include/ops/declarable/helpers/listdiff.h b/libnd4j/include/ops/declarable/helpers/listdiff.h
index 227eccac8..227044f35 100644
--- a/libnd4j/include/ops/declarable/helpers/listdiff.h
+++ b/libnd4j/include/ops/declarable/helpers/listdiff.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/lrn.h b/libnd4j/include/ops/declarable/helpers/lrn.h
index f8c9089c7..793e3e8df 100644
--- a/libnd4j/include/ops/declarable/helpers/lrn.h
+++ b/libnd4j/include/ops/declarable/helpers/lrn.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/lstm.h b/libnd4j/include/ops/declarable/helpers/lstm.h
index 6eb5886f3..20e7353f7 100644
--- a/libnd4j/include/ops/declarable/helpers/lstm.h
+++ b/libnd4j/include/ops/declarable/helpers/lstm.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/lstmBlock.h b/libnd4j/include/ops/declarable/helpers/lstmBlock.h
index 7df9bb795..e7ba221d6 100644
--- a/libnd4j/include/ops/declarable/helpers/lstmBlock.h
+++ b/libnd4j/include/ops/declarable/helpers/lstmBlock.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma, created on 14.02.2018
diff --git a/libnd4j/include/ops/declarable/helpers/lstmLayer.h b/libnd4j/include/ops/declarable/helpers/lstmLayer.h
index 29c434865..86bfbf239 100644
--- a/libnd4j/include/ops/declarable/helpers/lstmLayer.h
+++ b/libnd4j/include/ops/declarable/helpers/lstmLayer.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/lstsq.h b/libnd4j/include/ops/declarable/helpers/lstsq.h
index 9cc629383..cee8e47be 100644
--- a/libnd4j/include/ops/declarable/helpers/lstsq.h
+++ b/libnd4j/include/ops/declarable/helpers/lstsq.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/lup.h b/libnd4j/include/ops/declarable/helpers/lup.h
index 1e58c2e3f..ed64d0f54 100644
--- a/libnd4j/include/ops/declarable/helpers/lup.h
+++ b/libnd4j/include/ops/declarable/helpers/lup.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/matmul.h b/libnd4j/include/ops/declarable/helpers/matmul.h
index 2cce162d8..8d7f89b70 100644
--- a/libnd4j/include/ops/declarable/helpers/matmul.h
+++ b/libnd4j/include/ops/declarable/helpers/matmul.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/matrixSetDiag.h b/libnd4j/include/ops/declarable/helpers/matrixSetDiag.h
index 332c3134b..c90bb08f8 100644
--- a/libnd4j/include/ops/declarable/helpers/matrixSetDiag.h
+++ b/libnd4j/include/ops/declarable/helpers/matrixSetDiag.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/matrix_band.h b/libnd4j/include/ops/declarable/helpers/matrix_band.h
index f997e4d56..d60ceba12 100644
--- a/libnd4j/include/ops/declarable/helpers/matrix_band.h
+++ b/libnd4j/include/ops/declarable/helpers/matrix_band.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/matrix_diag_part.h b/libnd4j/include/ops/declarable/helpers/matrix_diag_part.h
index fd25c636c..a64c33a2b 100644
--- a/libnd4j/include/ops/declarable/helpers/matrix_diag_part.h
+++ b/libnd4j/include/ops/declarable/helpers/matrix_diag_part.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/max_pooling.h b/libnd4j/include/ops/declarable/helpers/max_pooling.h
index a3750798b..2e88e9ad0 100644
--- a/libnd4j/include/ops/declarable/helpers/max_pooling.h
+++ b/libnd4j/include/ops/declarable/helpers/max_pooling.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/meshgrid.h b/libnd4j/include/ops/declarable/helpers/meshgrid.h
index e6c385029..59f3cabac 100644
--- a/libnd4j/include/ops/declarable/helpers/meshgrid.h
+++ b/libnd4j/include/ops/declarable/helpers/meshgrid.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/minimax.h b/libnd4j/include/ops/declarable/helpers/minimax.h
index f619a20f6..f0c267da9 100644
--- a/libnd4j/include/ops/declarable/helpers/minimax.h
+++ b/libnd4j/include/ops/declarable/helpers/minimax.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/multiUnique.h b/libnd4j/include/ops/declarable/helpers/multiUnique.h
index 3119901c1..07f562460 100644
--- a/libnd4j/include/ops/declarable/helpers/multiUnique.h
+++ b/libnd4j/include/ops/declarable/helpers/multiUnique.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/nth_element.h b/libnd4j/include/ops/declarable/helpers/nth_element.h
index 1a2c28719..1a9a2fc03 100644
--- a/libnd4j/include/ops/declarable/helpers/nth_element.h
+++ b/libnd4j/include/ops/declarable/helpers/nth_element.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/one_hot.h b/libnd4j/include/ops/declarable/helpers/one_hot.h
index 1fefd7c44..a9c7ee22a 100644
--- a/libnd4j/include/ops/declarable/helpers/one_hot.h
+++ b/libnd4j/include/ops/declarable/helpers/one_hot.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/percentile.h b/libnd4j/include/ops/declarable/helpers/percentile.h
index 5eddb42b2..d2a70179d 100644
--- a/libnd4j/include/ops/declarable/helpers/percentile.h
+++ b/libnd4j/include/ops/declarable/helpers/percentile.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/prefix.h b/libnd4j/include/ops/declarable/helpers/prefix.h
index 757c5c94f..ecc944ed3 100644
--- a/libnd4j/include/ops/declarable/helpers/prefix.h
+++ b/libnd4j/include/ops/declarable/helpers/prefix.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/print_variable.h b/libnd4j/include/ops/declarable/helpers/print_variable.h
index 46cf4ee01..2c95fff2a 100644
--- a/libnd4j/include/ops/declarable/helpers/print_variable.h
+++ b/libnd4j/include/ops/declarable/helpers/print_variable.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/qr.h b/libnd4j/include/ops/declarable/helpers/qr.h
index 05de6ca40..9f1b91a38 100644
--- a/libnd4j/include/ops/declarable/helpers/qr.h
+++ b/libnd4j/include/ops/declarable/helpers/qr.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/random.h b/libnd4j/include/ops/declarable/helpers/random.h
index 5ee75e141..308993f57 100644
--- a/libnd4j/include/ops/declarable/helpers/random.h
+++ b/libnd4j/include/ops/declarable/helpers/random.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/random_crop.h b/libnd4j/include/ops/declarable/helpers/random_crop.h
index f4d36a850..ba36386ec 100644
--- a/libnd4j/include/ops/declarable/helpers/random_crop.h
+++ b/libnd4j/include/ops/declarable/helpers/random_crop.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/range.h b/libnd4j/include/ops/declarable/helpers/range.h
index 13155fd70..e30ba1408 100644
--- a/libnd4j/include/ops/declarable/helpers/range.h
+++ b/libnd4j/include/ops/declarable/helpers/range.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/reductions.h b/libnd4j/include/ops/declarable/helpers/reductions.h
index ee199fd16..b18732f5d 100644
--- a/libnd4j/include/ops/declarable/helpers/reductions.h
+++ b/libnd4j/include/ops/declarable/helpers/reductions.h
@@ -1,11 +1,13 @@
 
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/reverse.h b/libnd4j/include/ops/declarable/helpers/reverse.h
index c44327bb0..43eeaf2e8 100644
--- a/libnd4j/include/ops/declarable/helpers/reverse.h
+++ b/libnd4j/include/ops/declarable/helpers/reverse.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/rnn.h b/libnd4j/include/ops/declarable/helpers/rnn.h
index 32f49fe2e..c0d0d3bbc 100644
--- a/libnd4j/include/ops/declarable/helpers/rnn.h
+++ b/libnd4j/include/ops/declarable/helpers/rnn.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/roll.h b/libnd4j/include/ops/declarable/helpers/roll.h
index 3e637dbc4..98f7a5c18 100644
--- a/libnd4j/include/ops/declarable/helpers/roll.h
+++ b/libnd4j/include/ops/declarable/helpers/roll.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/s_t_b.h b/libnd4j/include/ops/declarable/helpers/s_t_b.h
index 1147f05ab..66279adf2 100644
--- a/libnd4j/include/ops/declarable/helpers/s_t_b.h
+++ b/libnd4j/include/ops/declarable/helpers/s_t_b.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/s_t_d.h b/libnd4j/include/ops/declarable/helpers/s_t_d.h
index 7ef500f03..b7afbd419 100644
--- a/libnd4j/include/ops/declarable/helpers/s_t_d.h
+++ b/libnd4j/include/ops/declarable/helpers/s_t_d.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/scatter.h b/libnd4j/include/ops/declarable/helpers/scatter.h
index 6e456ff97..99e5efd7d 100644
--- a/libnd4j/include/ops/declarable/helpers/scatter.h
+++ b/libnd4j/include/ops/declarable/helpers/scatter.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/segment.h b/libnd4j/include/ops/declarable/helpers/segment.h
index 2433313ff..a8837805f 100644
--- a/libnd4j/include/ops/declarable/helpers/segment.h
+++ b/libnd4j/include/ops/declarable/helpers/segment.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/segment_common.h b/libnd4j/include/ops/declarable/helpers/segment_common.h
index b0a92b8b3..fe3031fc2 100644
--- a/libnd4j/include/ops/declarable/helpers/segment_common.h
+++ b/libnd4j/include/ops/declarable/helpers/segment_common.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/sequence_mask.h b/libnd4j/include/ops/declarable/helpers/sequence_mask.h
index 491640b9e..7bd1962af 100644
--- a/libnd4j/include/ops/declarable/helpers/sequence_mask.h
+++ b/libnd4j/include/ops/declarable/helpers/sequence_mask.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/sg_cb.h b/libnd4j/include/ops/declarable/helpers/sg_cb.h
index 6b0824a81..91cbe215b 100644
--- a/libnd4j/include/ops/declarable/helpers/sg_cb.h
+++ b/libnd4j/include/ops/declarable/helpers/sg_cb.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/shift.h b/libnd4j/include/ops/declarable/helpers/shift.h
index f1b21741c..0c3e8f033 100644
--- a/libnd4j/include/ops/declarable/helpers/shift.h
+++ b/libnd4j/include/ops/declarable/helpers/shift.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/solve.h b/libnd4j/include/ops/declarable/helpers/solve.h
index 17234f313..a138029ae 100644
--- a/libnd4j/include/ops/declarable/helpers/solve.h
+++ b/libnd4j/include/ops/declarable/helpers/solve.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/sparse_to_dense.h b/libnd4j/include/ops/declarable/helpers/sparse_to_dense.h
index 541621257..3df845141 100644
--- a/libnd4j/include/ops/declarable/helpers/sparse_to_dense.h
+++ b/libnd4j/include/ops/declarable/helpers/sparse_to_dense.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/declarable/helpers/sqrtm.h b/libnd4j/include/ops/declarable/helpers/sqrtm.h
index 2a123d420..ae032c0b4 100644
--- a/libnd4j/include/ops/declarable/helpers/sqrtm.h
+++ b/libnd4j/include/ops/declarable/helpers/sqrtm.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/sru.h b/libnd4j/include/ops/declarable/helpers/sru.h
index 639247278..5d9266d7c 100644
--- a/libnd4j/include/ops/declarable/helpers/sru.h
+++ b/libnd4j/include/ops/declarable/helpers/sru.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/stack.h b/libnd4j/include/ops/declarable/helpers/stack.h
index 0ab486a5d..e9a3b5f1c 100644
--- a/libnd4j/include/ops/declarable/helpers/stack.h
+++ b/libnd4j/include/ops/declarable/helpers/stack.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/svd.h b/libnd4j/include/ops/declarable/helpers/svd.h
index 027807191..eeee17b84 100644
--- a/libnd4j/include/ops/declarable/helpers/svd.h
+++ b/libnd4j/include/ops/declarable/helpers/svd.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/threshold.h b/libnd4j/include/ops/declarable/helpers/threshold.h
index 21ac0c820..160ae3365 100644
--- a/libnd4j/include/ops/declarable/helpers/threshold.h
+++ b/libnd4j/include/ops/declarable/helpers/threshold.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/toggle_bits.h b/libnd4j/include/ops/declarable/helpers/toggle_bits.h
index 6d8ffe44a..408ba1ae9 100644
--- a/libnd4j/include/ops/declarable/helpers/toggle_bits.h
+++ b/libnd4j/include/ops/declarable/helpers/toggle_bits.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/top_k.h b/libnd4j/include/ops/declarable/helpers/top_k.h
index 6a459f925..6fc3e1082 100644
--- a/libnd4j/include/ops/declarable/helpers/top_k.h
+++ b/libnd4j/include/ops/declarable/helpers/top_k.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/transforms.h b/libnd4j/include/ops/declarable/helpers/transforms.h
index d20b98e6c..bcb0f8ee5 100644
--- a/libnd4j/include/ops/declarable/helpers/transforms.h
+++ b/libnd4j/include/ops/declarable/helpers/transforms.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/triangular_solve.h b/libnd4j/include/ops/declarable/helpers/triangular_solve.h
index 94e0198af..d0d099998 100644
--- a/libnd4j/include/ops/declarable/helpers/triangular_solve.h
+++ b/libnd4j/include/ops/declarable/helpers/triangular_solve.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author GS 
diff --git a/libnd4j/include/ops/declarable/helpers/unique.h b/libnd4j/include/ops/declarable/helpers/unique.h
index 8898be585..6064bf7c7 100644
--- a/libnd4j/include/ops/declarable/helpers/unique.h
+++ b/libnd4j/include/ops/declarable/helpers/unique.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/updatersHelpers.h b/libnd4j/include/ops/declarable/helpers/updatersHelpers.h
index 5bd89b487..2bc6d7d12 100644
--- a/libnd4j/include/ops/declarable/helpers/updatersHelpers.h
+++ b/libnd4j/include/ops/declarable/helpers/updatersHelpers.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Oleh Semeniv (oleg.semeniv@gmail.com)
diff --git a/libnd4j/include/ops/declarable/helpers/weights.h b/libnd4j/include/ops/declarable/helpers/weights.h
index 66246b641..934b870b4 100644
--- a/libnd4j/include/ops/declarable/helpers/weights.h
+++ b/libnd4j/include/ops/declarable/helpers/weights.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/where.h b/libnd4j/include/ops/declarable/helpers/where.h
index 2c9588462..87bf88200 100644
--- a/libnd4j/include/ops/declarable/helpers/where.h
+++ b/libnd4j/include/ops/declarable/helpers/where.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/helpers/zeta.h b/libnd4j/include/ops/declarable/helpers/zeta.h
index 7aee45f1c..08710a3b4 100644
--- a/libnd4j/include/ops/declarable/helpers/zeta.h
+++ b/libnd4j/include/ops/declarable/helpers/zeta.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/BooleanOp.cpp b/libnd4j/include/ops/declarable/impl/BooleanOp.cpp
index 07960497a..257c10eb0 100644
--- a/libnd4j/include/ops/declarable/impl/BooleanOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/BooleanOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/BroadcastableBoolOp.cpp b/libnd4j/include/ops/declarable/impl/BroadcastableBoolOp.cpp
index 634236d35..91c0aeaca 100644
--- a/libnd4j/include/ops/declarable/impl/BroadcastableBoolOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/BroadcastableBoolOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/BroadcastableOp.cpp b/libnd4j/include/ops/declarable/impl/BroadcastableOp.cpp
index 4611d49cb..a34ab4085 100644
--- a/libnd4j/include/ops/declarable/impl/BroadcastableOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/BroadcastableOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/DeclarableCustomOp.cpp b/libnd4j/include/ops/declarable/impl/DeclarableCustomOp.cpp
index d6227af0c..1a09c0c58 100644
--- a/libnd4j/include/ops/declarable/impl/DeclarableCustomOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/DeclarableCustomOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/DeclarableListOp.cpp b/libnd4j/include/ops/declarable/impl/DeclarableListOp.cpp
index d70355038..341a4fbaf 100644
--- a/libnd4j/include/ops/declarable/impl/DeclarableListOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/DeclarableListOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/DeclarableOp.cpp b/libnd4j/include/ops/declarable/impl/DeclarableOp.cpp
index cd8d0bdd8..03ed6c27d 100644
--- a/libnd4j/include/ops/declarable/impl/DeclarableOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/DeclarableOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -320,22 +322,21 @@ namespace sd {
                             if (!shape::equalsSoft(out, shape) || shape::isEmpty(out) != shape::isEmpty(shape)) {
                                 auto eShape = ShapeUtils::shapeAsString(out);
                                 auto aShape = ShapeUtils::shapeAsString(shape);
-
+                                auto eShapeInfoString = ShapeUtils::shapeInfoAsString(out);
+                                auto aShapeInfoString = ShapeUtils::shapeInfoAsString(shape);
                                 //outSha->destroy();
                                 delete outSha;
 
-                                nd4j_printf("Expected vs provided shapes mismatch %s vs %s at index %i\n", eShape.c_str(), aShape.c_str(), pair.second);
+                                nd4j_printf("Expected vs provided shapes mismatch %s vs %s at index %i with expected shape info %s and output shape info %s\n", eShape.c_str(), aShape.c_str(), pair.second,eShapeInfoString.c_str(),aShapeInfoString.c_str());
+
                                 throw std::runtime_error("Expected vs provided shapes mismatch");
                             }
 
-                            /*
-                             * FIXME: we want to uncomment this eventually, and check data types equality
                             //checking out data type equality
                             if (ArrayOptions::dataType(out) != ArrayOptions::dataType(shape)) {
                                 std::string msg = "Provided array [" + StringUtils::valueToString(pair.second) + "] has unexpected data type";
                                 throw sd::datatype_exception::build(msg, ArrayOptions::dataType(out), ArrayOptions::dataType(shape));
                             }
-                             */
                         }
                     } else {
                         auto fout = ctx.fastpath_out();
@@ -346,16 +347,22 @@ namespace sd {
                             ctx.setOutputArray(idx, outArr, true);
                         } else {
                             auto array = fout[idx];
+                            int shapeEquals = shape::equalsSoft(out, array->shapeInfo());
+                            int arrayEmpty = array->isEmpty();
                             // checking out shape equality
-                            if (!shape::equalsSoft(out, array->shapeInfo()) || shape::isEmpty(out) != array->isEmpty()) {
+                            if (!shapeEquals || arrayEmpty) {
                                 auto eShape = ShapeUtils::shapeAsString(out);
                                 auto aShape = ShapeUtils::shapeAsString(array->shapeInfo());
+                                auto eShapeInfoString = ShapeUtils::shapeInfoAsString(out);
+                                auto aShapeInfoString = ShapeUtils::shapeInfoAsString(array->shapeInfo());
+                                if(eShapeInfoString != aShapeInfoString) {
+                                    //outSha->destroy();
+                                    delete outSha;
 
-                                //outSha->destroy();
-                                delete outSha;
+                                    nd4j_printf("Expected vs provided shapes mismatch %s vs %s at index %i with expected shape info %s and output shape info %s. Conditions, shapeEquals: %d, array empty: %d\n", eShape.c_str(), aShape.c_str(), idx,eShapeInfoString.c_str(),aShapeInfoString.c_str(),shapeEquals,arrayEmpty);
+                                    throw std::runtime_error("Output array did not match expected shape.");
+                                }
 
-                                nd4j_printf("Expected vs provided shape mismatch %s vs %s at index %i\n", eShape.c_str(), aShape.c_str(), idx);
-                                throw std::runtime_error("Expected vs provided shape mismatch");
                             }
                         }
                     }
diff --git a/libnd4j/include/ops/declarable/impl/DeclarableReductionOp.cpp b/libnd4j/include/ops/declarable/impl/DeclarableReductionOp.cpp
index 2dd281991..74b81d741 100644
--- a/libnd4j/include/ops/declarable/impl/DeclarableReductionOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/DeclarableReductionOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyBroadcastBoolOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyBroadcastBoolOp.cpp
index a171ff339..b07ea7100 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyBroadcastBoolOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyBroadcastBoolOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyBroadcastOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyBroadcastOp.cpp
index c47cc9040..06479862e 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyBroadcastOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyBroadcastOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyIndexReduceOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyIndexReduceOp.cpp
index a9e8475c0..27b553cd2 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyIndexReduceOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyIndexReduceOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyOp.cpp
index c179488df..2249a26b5 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformBoolOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformBoolOp.cpp
index 8b6e1406e..b6068141c 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformBoolOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformBoolOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformOp.cpp
index 877d2d73d..b0240c932 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyPairwiseTransformOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyRandomOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyRandomOp.cpp
index 09c0a054a..0d49dc65d 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyRandomOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyRandomOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyReduce3Op.cpp b/libnd4j/include/ops/declarable/impl/LegacyReduce3Op.cpp
index 700e0dba9..3bf237e0b 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyReduce3Op.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyReduce3Op.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyReduceBoolOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyReduceBoolOp.cpp
index 48fc0d84c..f27066cab 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyReduceBoolOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyReduceBoolOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyReduceFloatOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyReduceFloatOp.cpp
index 1fa7ce351..e0e81abad 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyReduceFloatOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyReduceFloatOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyReduceLongOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyReduceLongOp.cpp
index 2e6a9f78e..57d1b8103 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyReduceLongOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyReduceLongOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyReduceOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyReduceOp.cpp
index e6c3dd63b..344a6ee55 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyReduceOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyReduceOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyReduceSameOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyReduceSameOp.cpp
index e6dff7a20..db3a6cd39 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyReduceSameOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyReduceSameOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyScalarBoolOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyScalarBoolOp.cpp
index abfd84efb..e58df0bea 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyScalarBoolOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyScalarBoolOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyScalarOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyScalarOp.cpp
index 0c700b88b..82768fd21 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyScalarOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyScalarOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyStatsOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyStatsOp.cpp
index 4a60064b5..cbe768fc4 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyStatsOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyStatsOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyTransformAnyOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyTransformAnyOp.cpp
index dde8ce9e9..55e31a0ec 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyTransformAnyOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyTransformAnyOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyTransformBoolOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyTransformBoolOp.cpp
index 3bf4f1ff4..0006a71a2 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyTransformBoolOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyTransformBoolOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyTransformFloatOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyTransformFloatOp.cpp
index f25ba00fe..8edb90553 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyTransformFloatOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyTransformFloatOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyTransformOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyTransformOp.cpp
index d0a8f7604..ef949bd11 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyTransformOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyTransformOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyTransformSameOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyTransformSameOp.cpp
index 02a69da6b..476de5777 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyTransformSameOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyTransformSameOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LegacyTransformStrictOp.cpp b/libnd4j/include/ops/declarable/impl/LegacyTransformStrictOp.cpp
index 2093e3aab..039d91eae 100644
--- a/libnd4j/include/ops/declarable/impl/LegacyTransformStrictOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LegacyTransformStrictOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/LogicOp.cpp b/libnd4j/include/ops/declarable/impl/LogicOp.cpp
index ae24b5631..2b2625453 100644
--- a/libnd4j/include/ops/declarable/impl/LogicOp.cpp
+++ b/libnd4j/include/ops/declarable/impl/LogicOp.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/OpDescriptor.cpp b/libnd4j/include/ops/declarable/impl/OpDescriptor.cpp
index 84c1bc291..7c90b429d 100644
--- a/libnd4j/include/ops/declarable/impl/OpDescriptor.cpp
+++ b/libnd4j/include/ops/declarable/impl/OpDescriptor.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/OpRegistrator.cpp b/libnd4j/include/ops/declarable/impl/OpRegistrator.cpp
index 327cb0482..9b32b9eed 100644
--- a/libnd4j/include/ops/declarable/impl/OpRegistrator.cpp
+++ b/libnd4j/include/ops/declarable/impl/OpRegistrator.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/OpTuple.cpp b/libnd4j/include/ops/declarable/impl/OpTuple.cpp
index fc43739e8..423137921 100644
--- a/libnd4j/include/ops/declarable/impl/OpTuple.cpp
+++ b/libnd4j/include/ops/declarable/impl/OpTuple.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/impl/PlatformHelper.cpp b/libnd4j/include/ops/declarable/impl/PlatformHelper.cpp
index 245626c09..20e82cadb 100644
--- a/libnd4j/include/ops/declarable/impl/PlatformHelper.cpp
+++ b/libnd4j/include/ops/declarable/impl/PlatformHelper.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.cpp b/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.cpp
index 66b472252..4d7d5f41e 100644
--- a/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.cpp
+++ b/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.cpp
@@ -1,17 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  // Created by Abdelrauf 2020
 
@@ -77,14 +82,16 @@ Arm_DataType getArmType ( const DataType &dType){
 
     return ret;
 }
+
 bool isArmcomputeFriendly(const NDArray& arr) {
-   auto dType = getArmType(arr.dataType());
+  auto dType = getArmType(arr.dataType());
   int rank = (int)(arr.rankOf());
+  int ind = arr.ordering() == 'c' ? rank-1 : 0;
+  auto arrStrides = arr.stridesOf();
   return dType != Arm_DataType::UNKNOWN && 
          rank<=arm_compute::MAX_DIMS &&
          arr.ordering() == 'c' &&
-         arr.ews()==1 &&
-         shape::strideDescendingCAscendingF(arr.shapeInfo()) == true;
+         arrStrides[ind] == 1 ;
 }
 
 Arm_TensorInfo getArmTensorInfo(int rank, Nd4jLong* bases,sd::DataType ndArrayType, arm_compute::DataLayout layout) {
@@ -107,7 +114,10 @@ Arm_TensorInfo getArmTensorInfo(int rank, Nd4jLong* bases,sd::DataType ndArrayTy
 Arm_TensorInfo getArmTensorInfo(const NDArray& arr,
                                 arm_compute::DataLayout layout) {
   auto dType = getArmType(arr.dataType());
-
+  
+ 
+  internal_print_nd_shape(arr,"shape")  ;
+  internal_print_nd_array(arr,"data")  ;
   //
   constexpr int numChannels = 1;
   int rank = (int)(arr.rankOf());
@@ -122,21 +132,28 @@ Arm_TensorInfo getArmTensorInfo(const NDArray& arr,
   Arm_Strides strides;
   shape.set_num_dimensions(rank);
   strides.set_num_dimensions(rank);
-  size_t element_size = arm_compute::data_size_from_type(dType);
+  size_t element_size = arr.sizeOfT();
   for (int i = 0, j = rank - 1; i < rank; i++, j--) {
     shape[i] = static_cast(bases[j]);
-    strides[i] = static_cast(arrStrides[j]) * element_size;
+    strides[i] = static_cast(arrStrides[j] * element_size);
   }
   // fill the rest unused with 1
   for (int i = rank; i < arm_compute::MAX_DIMS; i++) {
     shape[i] = 1;
   }
-  size_t total_size;
-  size_t size_ind = rank - 1;
-  total_size = shape[size_ind] * strides[size_ind];
-
+  
+  size_t total_size = arr.lengthOf() * element_size;
+  size_t offset=0;
+  //size_t size_ind = rank - 1;
+  //total_size = shape[size_ind] * strides[size_ind];
+  if (arr.hasPaddedBuffer()){
+      internal_printf("---has padded buffer %d\n",0);
+      total_size = arr.getDataBuffer()->getLenInBytes();
+      offset = arr.bufferOffset() * element_size;
+  } 
+  internal_printf(":: offset %d el size %d  arr.getDataBuffer()->getLenInBytes() %d lengthof %d \n",(int)arr.bufferOffset(), (int)element_size, (int)arr.getDataBuffer()->getLenInBytes(),  (int)arr.lengthOf());
   Arm_TensorInfo info;
-  info.init(shape, numChannels, dType, strides, 0, total_size);
+  info.init(shape, numChannels, dType, strides, offset, total_size);
   info.set_data_layout(layout);
 
   return info;
@@ -154,19 +171,19 @@ Arm_Tensor getArmTensor(const NDArray& arr, arm_compute::DataLayout layout) {
   auto info = getArmTensorInfo(arr, layout);
   Arm_Tensor tensor;
   tensor.allocator()->init(info);
-  void* buff = (void*)arr.buffer();
+  //get without offset
+  void* buff = arr.getDataBuffer()->primary();
   tensor.allocator()->import_memory(buff);
   return tensor;
 }
 
-void copyFromTensor(const Arm_Tensor& inTensor, NDArray& output) {
-    //only for C order
+void copyFromTensor(const Arm_Tensor& inTensor, sd::NDArray& output) {
     //only for C order
     if (output.ordering() != 'c') return;
-    auto shapeInfo = output.shapeInfo();
-    auto bases = &(shapeInfo[1]);
-    Nd4jLong rank = shapeInfo[0];
-    auto strides = output.stridesOf();
+    const Nd4jLong* shapeInfo = output.shapeInfo();
+    const Nd4jLong* bases = &(shapeInfo[1]);
+    const Nd4jLong rank = shapeInfo[0];
+    const Nd4jLong* strides = output.stridesOf();
     int width = bases[rank - 1];
     uint8_t* outputBuffer = (uint8_t*)output.buffer(); 
     size_t offset = 0;
@@ -176,7 +193,7 @@ void copyFromTensor(const Arm_Tensor& inTensor, NDArray& output) {
     int element_size = inTensor.info()->element_size();
     window.use_tensor_dimensions(inTensor.info()->tensor_shape(), /* first_dimension =*/arm_compute::Window::DimY);
 
-//    if (output.ews() == 1) {
+    if (output.ews() == 1) {
         auto copySize = width * element_size;
         auto dest = outputBuffer;
         arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
@@ -186,31 +203,28 @@ void copyFromTensor(const Arm_Tensor& inTensor, NDArray& output) {
                 dest += copySize;
             },
             tensor_it);
-    // }
-    // else {
-    //     Nd4jLong coords[MAX_RANK] = {};
-    //     if(strides[rank-1]!=1){
-    //             throw std::runtime_error(  "not implemented for subarrays whose last stride is not 1");
-    //         //TODO: implement to work with all subarrays properly
-    //     }
-    //     arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
-    //         {
-    //             auto src = tensor_it.ptr();
-    //             auto dest = outputBuffer + offset * element_size;
-    //             memcpy(dest, src, width * element_size);
-    //             offset = sd::inc_coords(bases, strides, coords, offset, rank, 1);
-    //         },
-    //         tensor_it);
-    // }
+    }
+    else {
+        Nd4jLong coords[MAX_RANK] = {};
+        auto copySize = width * element_size;
+        arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
+            {
+                auto src = tensor_it.ptr();
+                auto dest = outputBuffer + offset * element_size;
+                memcpy(dest, src, copySize);
+                offset = sd::inc_coords(bases, strides, coords, offset, rank, 1);
+            },
+            tensor_it);
+    }
 }
 
-void copyToTensor(const NDArray& input, Arm_Tensor& outTensor) {
+void copyToTensor(const sd::NDArray& input, Arm_Tensor& outTensor) {
     //only for C order
     if (input.ordering() != 'c') return;
-    auto shapeInfo = input.shapeInfo();
-    auto bases = &(shapeInfo[1]);
-    Nd4jLong rank = shapeInfo[0];
-    auto strides = input.stridesOf();
+    const Nd4jLong* shapeInfo = input.shapeInfo();
+    const Nd4jLong* bases = &(shapeInfo[1]);
+    const Nd4jLong rank = shapeInfo[0];
+    const Nd4jLong* strides = input.stridesOf();
     uint8_t *inputBuffer = (uint8_t*)input.buffer(); 
     int width = bases[rank - 1];
     size_t offset = 0; 
@@ -220,38 +234,36 @@ void copyToTensor(const NDArray& input, Arm_Tensor& outTensor) {
 
     window.use_tensor_dimensions(outTensor.info()->tensor_shape(), /* first_dimension =*/arm_compute::Window::DimY);
     
-// if (input.ews() == 1) {
+    if (input.ews() == 1) {
 
-     auto copySize = width * element_size;
-     auto src = inputBuffer;
-     arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
+        auto copySize = width * element_size;
+        auto src = inputBuffer;
+        arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
          {
              auto dest = tensor_it.ptr(); 
              memcpy(dest,src, copySize);
              src += copySize;
          },
          tensor_it);
-//  }
-//  else {
-//      Nd4jLong coords[MAX_RANK] = {};
-//         if(strides[rank-1]!=1){
-//                 throw std::runtime_error(  "not implemented for subarrays whose last stride is not 1");
-//             //TODO: implement to work with all subarrays properly
-//         }     
-//      arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
-//          {
-//              auto dest = tensor_it.ptr();
-//              auto src = inputBuffer + offset * element_size;
-//              offset = sd::inc_coords(bases, strides, coords, offset, rank, 1);
-//          },
-//          tensor_it);
-//  }
+    }
+    else {
+        Nd4jLong coords[MAX_RANK] = {};
+        auto copySize = width * element_size;
+        arm_compute::execute_window_loop(window, [&](const arm_compute::Coordinates& id)
+         {
+             auto dest = tensor_it.ptr();
+             auto src = inputBuffer + offset * element_size;
+             memcpy(dest, src, copySize);
+             offset = sd::inc_coords(bases, strides, coords, offset, rank, 1);
+         },
+         tensor_it);
+   }
 }
 
 
 // armcompute should be built with debug option
 void print_tensor(Arm_ITensor& tensor, const char* msg) {
-    auto info = tensor.info();
+  auto info = tensor.info();
   auto padding = info->padding();
   std::cout << msg << "\ntotal: " << info->total_size() << "\n";
 
diff --git a/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.h b/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.h
index 72a4e6e89..9ef31cf1f 100644
--- a/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.h
+++ b/libnd4j/include/ops/declarable/platform/armcompute/armcomputeUtils.h
@@ -1,18 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
+ // Created by Abdelrauf 2020
 
 #ifndef DEV_TESTSARMCOMPUTEUTILS_H
 #define DEV_TESTSARMCOMPUTEUTILS_H
@@ -39,91 +45,284 @@
 
 using namespace samediff;
 
+#if 0
+#define internal_printf(FORMAT, ...) nd4j_printf(FORMAT, __VA_ARGS__)
+//define ARM_COMPUTE_ASSERTS_ENABLED 1
+#define internal_print_arm_array(a,b) print_tensor(a,b)
+#define internal_print_nd_array(a,b) ((a).printIndexedBuffer(b))
+#define internal_print_nd_shape(a,b) ((a).printShapeInfo(b))
+#else
+#define internal_printf(FORMAT, ...) 
+#define internal_print_arm_array(a,b)  
+#define internal_print_nd_array(a,b)  
+#define internal_print_nd_shape(a,b)  
+#endif
 
 namespace sd {
     namespace ops {
         namespace platforms {
 
-            using Arm_DataType = arm_compute::DataType;
-            using Arm_Tensor = arm_compute::Tensor;
-            using Arm_ITensor = arm_compute::ITensor;            
-            using Arm_TensorInfo = arm_compute::TensorInfo;
-            using Arm_TensorShape = arm_compute::TensorShape;
-            using Arm_Strides = arm_compute::Strides;
-            /**
-             * Here we actually declare our platform helpers
-             */
-             
+        using Arm_DataType = arm_compute::DataType;
+        using Arm_Tensor = arm_compute::Tensor;
+        using Arm_ITensor = arm_compute::ITensor;
+        using Arm_TensorInfo = arm_compute::TensorInfo;
+        using Arm_TensorShape = arm_compute::TensorShape;
+        using Arm_Strides = arm_compute::Strides;
+        using Arm_WeightsInfo = arm_compute::WeightsInfo;
+        using Arm_PermutationVector = arm_compute::PermutationVector;
+        using Arm_DataLayout =  arm_compute::DataLayout;
 
-            DECLARE_PLATFORM(maxpool2d, ENGINE_CPU);
+        /**
+        * Here we actually declare our platform helpers
+        */
+        DECLARE_PLATFORM(maxpool2d, ENGINE_CPU);
  
-            DECLARE_PLATFORM(avgpool2d, ENGINE_CPU);
+        DECLARE_PLATFORM(avgpool2d, ENGINE_CPU);
 
-            //utils
-            Arm_DataType getArmType(const sd::DataType& dType);
+        DECLARE_PLATFORM(conv2d, ENGINE_CPU);
 
-            Arm_TensorInfo getArmTensorInfo(int rank, Nd4jLong* bases, sd::DataType ndArrayType, arm_compute::DataLayout layout = arm_compute::DataLayout::UNKNOWN);
+        DECLARE_PLATFORM(deconv2d, ENGINE_CPU);       
 
-            Arm_TensorInfo getArmTensorInfo(const NDArray& arr, arm_compute::DataLayout layout = arm_compute::DataLayout::UNKNOWN);
+        //utils
+        Arm_DataType getArmType(const sd::DataType& dType);
 
-            Arm_Tensor getArmTensor(const NDArray& arr, arm_compute::DataLayout layout = arm_compute::DataLayout::UNKNOWN);
+        Arm_TensorInfo getArmTensorInfo(int rank, Nd4jLong* bases, sd::DataType ndArrayType, Arm_DataLayout layout = Arm_DataLayout::UNKNOWN);
 
-            void copyFromTensor(const Arm_Tensor& inTensor, NDArray& output);
-            void copyToTensor(const NDArray& input, Arm_Tensor& outTensor);
-            void print_tensor(Arm_ITensor& tensor, const char* msg);
-            bool isArmcomputeFriendly(const NDArray& arr);
+        Arm_TensorInfo getArmTensorInfo(const NDArray& arr, Arm_DataLayout layout = Arm_DataLayout::UNKNOWN);
 
+        Arm_Tensor getArmTensor(const NDArray& arr, Arm_DataLayout layout = Arm_DataLayout::UNKNOWN);
 
-            template
-            class ArmFunction {
-            public:
+        void copyFromTensor(const Arm_Tensor& inTensor, NDArray& output);
+        void copyToTensor(const NDArray& input, Arm_Tensor& outTensor);
+        void print_tensor(Arm_ITensor& tensor, const char* msg);
+        bool isArmcomputeFriendly(const NDArray& arr);
 
-               template
-               void configure(NDArray *input , NDArray *output, arm_compute::DataLayout layout, Args&& ...args) {
-                   
-                   auto inInfo = getArmTensorInfo(*input, layout);
-                   auto outInfo = getArmTensorInfo(*output, layout);  
-                   in.allocator()->init(inInfo);
-                   out.allocator()->init(outInfo);
-                   armFunction.configure(&in,&out,std::forward(args) ...);
-                   if (in.info()->has_padding()) {
-                       //allocate and copy
-                       in.allocator()->allocate();
-                       //copy 
-                       copyToTensor(*input, in);
+        template
+        class ArmFunction {
+        public:
+            template
+            void configure( NDArray* input, NDArray* output, Arm_DataLayout layout, Args&& ...args) {
+                bool inputHasPaddedBuffer = input->hasPaddedBuffer();
+                bool outputHasPaddedBuffer = output->hasPaddedBuffer();
+                if (inputHasPaddedBuffer) {
+                    in = getArmTensor(*input, layout);
+                    internal_printf("input is a padded buffer %d\n", 0);
+                }
+                else {
+                    auto inInfo = getArmTensorInfo(*input, layout);
+                    in.allocator()->init(inInfo);
+                }
+                if (outputHasPaddedBuffer) {
+                    out = getArmTensor(*output, layout);
+                    internal_printf("output is a padded buffer %d\n", 0);
+                }
+                else {
+                    auto outInfo = getArmTensorInfo(*output, layout);
+                    out.allocator()->init(outInfo);
+                }
+                armFunction.configure(&in, &out, std::forward(args) ...);
+                if (!inputHasPaddedBuffer) {
+                    if (in.info()->has_padding() || input->ews() != 1) {
+                        //allocate and copy
+                        in.allocator()->allocate();
+                        inputNd = input;
+                    }
+                    else {
+                        //import only for ews()==1
+                        in.allocator()->import_memory(input->buffer());
+                        internal_printf("input import %d\n", 0);
+                    }
+                }
+                if (!outputHasPaddedBuffer) {
+                    if (out.info()->has_padding() || output->ews()!=1) {
+                        //store pointer to our array to copy after run
+                        out.allocator()->allocate();
+                        outNd = output;
+                    }
+                    else {
+                        //import only for ews()==1
+                        out.allocator()->import_memory(output->buffer());
+                        internal_printf("output import %d\n", 0);
+                    }
+                }
+            }
+            void run() {
+                if (inputNd) {
+                    //copy
+                    copyToTensor(*inputNd, in);
+                    internal_printf("input copy %d\n", 0);
+                    internal_print_nd_array(*inputNd,"input");
+                    internal_print_arm_array(in, "in");
+                }
+                armFunction.run();
+                if (outNd) {
+                    copyFromTensor(out, *outNd);
+                    internal_printf("output copy %d\n", 0);
+                    internal_print_arm_array(out, "out");
+                }
+            }
+        private:
+            Arm_Tensor in;
+            Arm_Tensor out;
+            NDArray* inputNd = nullptr;
+            NDArray* outNd = nullptr;
+            F armFunction{};
+        };
 
-                   }
-                   else {
-                       //import buffer
-                       void* buff = input->buffer();
-                       in.allocator()->import_memory(buff);
-                   } 
-                   if (out.info()->has_padding()) {
-                       //store pointer to our array to copy after run
-                       out.allocator()->allocate();
-                       outNd = output;
-                   }
-                   else {
-                       //import
-                       void* buff = output->buffer();
-                       out.allocator()->import_memory(buff);
-                   }
+        template
+        class ArmFunctionWeighted {
+        public:
+            template
+            void configure( NDArray* input, NDArray* weights, NDArray* biases, NDArray* output, Arm_DataLayout layout, arm_compute::PermutationVector permuteVector, Args&& ...args) {
+                bool inputHasPaddedBuffer = input->hasPaddedBuffer();
+                bool weightsHasPaddedBuffer = weights->hasPaddedBuffer();
+                bool outputHasPaddedBuffer = output->hasPaddedBuffer();
+                bool biasesHasPaddedBuffer = false;
+                if (inputHasPaddedBuffer) {
+                    in = getArmTensor(*input, layout);
+                    internal_printf("input is a padded buffer %d\n", 1);
+                }
+                else {
+                    in.allocator()->init(getArmTensorInfo(*input, layout));
+                }
+                if (weightsHasPaddedBuffer) {
+                    w = getArmTensor(*weights, layout);
+                    internal_printf("weights is a padded buffer %d\n", 1);
+                }
+                else {
+                    w.allocator()->init(getArmTensorInfo(*weights, layout));
+                }
+                if (outputHasPaddedBuffer) {
+                    out = getArmTensor(*output, layout);
+                    internal_printf("output is a padded buffer %d\n", 1);
+                }
+                else {
+                    out.allocator()->init(getArmTensorInfo(*output, layout));
+                }
+                Arm_Tensor* bias_ptr = nullptr;
+                if (biases) {
+                    biasesHasPaddedBuffer = biases->hasPaddedBuffer();
+                    if (biasesHasPaddedBuffer) {
+                        b = getArmTensor(*biases, layout);
+                        internal_printf("biases is a padded buffer %d\n", 1);
+                    }
+                    else {
+                        b.allocator()->init(getArmTensorInfo(*biases, layout));
+                    }
+                    bias_ptr = &b;
+                }
+                if (permuteVector.num_dimensions() == 0) {
+                    armFunction.configure(&in, &w, bias_ptr, &out, std::forward(args)...);
+                }
+                else {
+                    //configure with permute kernel
+                    Arm_TensorShape shape;
+                    int rank = permuteVector.num_dimensions();
+                    shape.set_num_dimensions(rank);
+                    auto wInfoPtr = w.info();
+                    for (int i = 0; i < rank; i++) {
+                        shape[i] = wInfoPtr->dimension(permuteVector[i]);
+                    }
+                    for (int i = rank; i < arm_compute::MAX_DIMS; i++) {
+                        shape[i] = 1;
+                    }
+                    Arm_TensorInfo wPermInfo(shape, 1, wInfoPtr->data_type(), layout);
+                    wPerm.allocator()->init(wPermInfo);
+                    permuter.configure(&w, &wPerm, permuteVector);
+                    armFunction.configure(&in, &wPerm, bias_ptr, &out, std::forward(args)...);
+                    wPerm.allocator()->allocate();
+                    runPerm = true;
+                }
+                //import buffer
+                if (!inputHasPaddedBuffer) {
+                    if (in.info()->has_padding() || input->ews()!=1) {
+                        //allocate and copy
+                        in.allocator()->allocate();
+                        inputNd = input;
+                    }
+                    else {
+                        //import buffer
+                        in.allocator()->import_memory(input->buffer());
+                        internal_printf("input import %d\n", 1);
+                    }
+                }
+                if (!weightsHasPaddedBuffer) {
+                    if (w.info()->has_padding() || weights->ews()!=1) {
+                        //store pointer to our array to copy after run
+                        w.allocator()->allocate();
+                        wNd = weights;
+                    }
+                    else {
+                        //import
+                        w.allocator()->import_memory(weights->buffer());
+                        internal_printf("weights import %d\n", 1);
+                    }
+                }
+                if (biases && !biasesHasPaddedBuffer) {
+                    if (b.info()->has_padding() || biases->ews()!=1) {
+                        //store pointer to our array to copy after run
+                        b.allocator()->allocate();
+                        bNd = biases;
+                    }
+                    else {
+                        //import
+                        b.allocator()->import_memory(biases->buffer());
+                        internal_printf("biases import %d\n", 1);
+                    }
+                }
+                if (!outputHasPaddedBuffer) {
+                    if (out.info()->has_padding() || output->ews()!=1) {
+                        //store pointer to our array to copy after run
+                        out.allocator()->allocate();
+                        outNd = output;
+                    }
+                    else {
+                        //import
+                        out.allocator()->import_memory(output->buffer());
+                        internal_printf("output import %d\n", 1);
+                    }
+                }
+            }
+            void run() {
+                if (inputNd) {
+                    //copy
+                    copyToTensor(*inputNd, in);
+                    internal_printf("input copy %d\n", 1);
+                }
+                if (bNd) {
+                    //copy
+                    copyToTensor(*bNd, b);
+                    internal_printf("biases copy %d\n", 1);
+                }
+                if (wNd) {
+                    //copy
+                    copyToTensor(*wNd, w);
+                    internal_printf("weights copy %d\n", 1);
+                }
+                if (runPerm) {
+                    permuter.run();
+                }
+                armFunction.run();
+                if (outNd) {
+                    copyFromTensor(out, *outNd);
+                    internal_printf("output copy %d\n", 1);
+                }
+            }
+        private:
+            bool runPerm = false;
+            Arm_Tensor in;
+            Arm_Tensor b;
+            Arm_Tensor w;
+            Arm_Tensor wPerm;
+            Arm_Tensor out;
+            NDArray* inputNd = nullptr;
+            NDArray* wNd = nullptr;
+            NDArray* bNd = nullptr;
+            NDArray* outNd = nullptr;
+            arm_compute::NEPermute permuter;
+            F armFunction{};
+        };
 
-               }
-
-               void run() {
-                   armFunction.run();
-                   if (outNd) {
-                       copyFromTensor(out, *outNd);
-                   }
-               }
-
-               private:
-                   Arm_Tensor in;
-                   Arm_Tensor out;
-                   NDArray *outNd=nullptr;
-                   F armFunction{};
-            };          
         }
     }
 }
diff --git a/libnd4j/include/ops/declarable/platform/armcompute/avgpooling2d.cpp b/libnd4j/include/ops/declarable/platform/armcompute/avgpooling2d.cpp
index d8413104d..21adaf9be 100644
--- a/libnd4j/include/ops/declarable/platform/armcompute/avgpooling2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/armcompute/avgpooling2d.cpp
@@ -1,17 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  // Created by Abdelrauf (rauf@konduit.ai) 2020
 
@@ -52,12 +57,12 @@ PLATFORM_IMPL(avgpool2d, ENGINE_CPU) {
     REQUIRE_TRUE(input->rankOf() == 4, 0, "AVGPOOL2D ARMCOMPUTE op: input should have rank of 4, but got %i instead", input->rankOf());
     REQUIRE_TRUE(dH != 0 && dW != 0, 0, "AVGPOOL2D ARMCOMPUTE op: dilation must not be zero, but got instead {%i, %i}", dH, dW);
 
-    bool exclude_padding= (extraParam0 == 0) ? true : false;
+    bool excludePadding= (extraParam0 == 0) ? true : false;
 
     auto dataLayout = isNCHW ? arm_compute::DataLayout::NCHW : arm_compute::DataLayout::NHWC;
 
     // Calculate individual paddings
-    unsigned int pad_left, pad_top, pad_right, pad_bottom;
+    unsigned int padLeft, padTop, padRight, padBottom;
     int bS, iC, iH, iW, oC, oH, oW;                             // batch size, input channels, input height/width, output channels, output height/width;
     int indIOioC, indIiH, indWoC, indWiC, indWkH, indOoH;       // corresponding indexes
     ConvolutionUtils::getSizesAndIndexesConv2d(isNCHW, 0, *input, *output, bS, iC, iH, iW, oC, oH, oW, indIOioC, indIiH, indWiC, indWoC, indWkH, indOoH);
@@ -65,17 +70,17 @@ PLATFORM_IMPL(avgpool2d, ENGINE_CPU) {
     if(paddingMode){ 
         ConvolutionUtils::calcPadding2D(pH, pW, oH, oW, iH, iW, kH, kW, sH, sW, dH, dW); 
     }
-    pad_left   = pW;
-    pad_top    = pH;
-    pad_right  = (oW - 1) * sW - iW + kW - pW ;
-    pad_bottom = (oH - 1) * sH - iH + kH - pH ; 
+    padLeft   = pW;
+    padTop    = pH;
+    padRight  = (oW - 1) * sW - iW + kW - pW ;
+    padBottom = (oH - 1) * sH - iH + kH - pH ; 
 
 #if 0
     nd4j_printf("avgpool kH = %d, kW = %d, sH = %d, sW = %d  , pH = %d  , pW = %d, dH = %d, dW = %d, paddingMode = %d , isNCHW %d exclude pad %d \n" , kH , kW , sH , sW  , pH 
-     , pW , dH , dW , paddingMode,isNCHW?1:0 ,exclude_padding?1:0);
+     , pW , dH , dW , paddingMode,isNCHW?1:0 ,excludePadding?1:0);
 #endif
-    auto poolPad = arm_compute::PadStrideInfo(sW, sH, pad_left,pad_right, pad_top, pad_bottom, arm_compute::DimensionRoundingType::FLOOR);
-    auto poolInfo = arm_compute::PoolingLayerInfo(arm_compute::PoolingType::AVG, arm_compute::Size2D(kW, kH), dataLayout, poolPad, exclude_padding);
+    auto poolPad = arm_compute::PadStrideInfo(sW, sH, padLeft, padRight, padTop, padBottom, arm_compute::DimensionRoundingType::FLOOR);
+    auto poolInfo = arm_compute::PoolingLayerInfo(arm_compute::PoolingType::AVG, arm_compute::Size2D(kW, kH), dataLayout, poolPad, excludePadding);
     ArmFunction pool;    
     pool.configure(input,output, dataLayout, poolInfo);
      
@@ -93,10 +98,10 @@ PLATFORM_CHECK(avgpool2d, ENGINE_CPU) {
     // Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
     auto dTypeInput = getArmType(input->dataType());
     auto dTypeOutput = getArmType(output->dataType());  
-    bool is_supported = dH==1 && dW==1 && isArmcomputeFriendly(*input) && isArmcomputeFriendly(*output)
+    bool isSupported = dH==1 && dW==1 && isArmcomputeFriendly(*input) && isArmcomputeFriendly(*output)
             && (dTypeInput ==Arm_DataType::F32) 
             && (dTypeOutput ==Arm_DataType::F32); 
-    return  is_supported; 
+    return  isSupported; 
 }
 
 
diff --git a/libnd4j/include/ops/declarable/platform/armcompute/conv2d.cpp b/libnd4j/include/ops/declarable/platform/armcompute/conv2d.cpp
new file mode 100644
index 000000000..4b6c89fea
--- /dev/null
+++ b/libnd4j/include/ops/declarable/platform/armcompute/conv2d.cpp
@@ -0,0 +1,171 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+ // Created by Abdelrauf (rauf@konduit.ai) 2020
+
+
+#include 
+#include 
+#include  
+#include 
+
+
+#include "armcomputeUtils.h"
+
+
+namespace sd      {
+namespace ops       {
+namespace platforms {
+
+
+ 
+
+//////////////////////////////////////////////////////////////////////
+PLATFORM_IMPL(conv2d, ENGINE_CPU) {
+
+    auto input   = INPUT_VARIABLE(0);                                    // [bS, iH, iW, iC] (NHWC) or [bS, iC, iH, iW] (NCHW)
+    auto weights = INPUT_VARIABLE(1);                                    // [kH, kW, iC, oC], [oC, iC, kH, kW], [oC, kH, kW, iC]
+    auto bias    = block.width() > 2 ? INPUT_VARIABLE(2) : nullptr;      // [oC]
+
+    auto output  = OUTPUT_VARIABLE(0);                                   // [bS, oH, oW, oC] (NHWC) or [bS, oC, oH, oW] (NCHW)
+
+    int sH = INT_ARG(2);                                                        // strides height
+    int sW = INT_ARG(3);                                                        // strides width
+    int pH = INT_ARG(4);                                                        // paddings height
+    int pW = INT_ARG(5);                                                        // paddings width
+    int dH = INT_ARG(6);                                                        // dilations height
+    int dW = INT_ARG(7);                                                        // dilations width
+    int paddingMode = INT_ARG(8);                                               // 0-VALID, 1-SAME
+    bool isNCHW = block.getIArguments()->size() > 9 ? !INT_ARG(9) : 1;          // INT_ARG(9): 0-NCHW,  1-NHWC
+    int wFormat = block.getIArguments()->size() > 10 ? INT_ARG(10) : 0;         // 0 - [kH, kW, iC, oC], 1 - [oC, iC, kH, kW], 2 - [oC, kH, kW, iC]
+
+    int kH = INT_ARG(0) > 0 ? INT_ARG(0) : static_cast(weights->sizeAt(0)); // filter(kernel) height
+    int kW = INT_ARG(1) > 0 ? INT_ARG(1) : static_cast(weights->sizeAt(1)); // filter(kernel) width
+
+    // Calculate individual paddings
+    unsigned int padLeft, padTop, padRight, padBottom;
+    int bS, iC, iH, iW, oC, oH, oW;                             // batch size, input channels, input height/width, output channels, output height/width;
+    int indIOioC, indIiH, indWoC, indWiC, indWkH, indOoH;       // corresponding indexes
+    ConvolutionUtils::getSizesAndIndexesConv2d(isNCHW, 0, *input, *output, bS, iC, iH, iW, oC, oH, oW, indIOioC, indIiH, indWiC, indWoC, indWkH, indOoH);
+
+    ConvolutionUtils::calcPadding2D(pH, pW, oH, oW, iH, iW, kH, kW, sH, sW, dH, dW, paddingMode);
+    int pWSame = (paddingMode == 2 && dW > 1) ? ((oW - 1) * sW + (kW - 1) * dW + 1 - iW) / 2 : pW;       // dH == 1 for causal mode in conv1d
+    padLeft   = pW;
+    padTop    = pH;
+    padRight  = (oW - 1) * sW - iW + kW - pWSame ;
+    padBottom = (oH - 1) * sH - iH + kH - pH ; 
+
+
+    std::vector expectedWeightsShape = ConvolutionUtils::expectWeightsShape(wFormat, kH, kW, iC, oC);
+    REQUIRE_TRUE(weights->isSameShape(expectedWeightsShape), 0, "CONV2D ARMCOMPUTE OP: wrong shape of weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedWeightsShape).c_str(), ShapeUtils::shapeAsString(weights).c_str());
+    if (bias)
+        REQUIRE_TRUE(bias->rankOf() <= 2 && oC == bias->lengthOf(), 0, "CONV2D ARMCOMPUTE OP: wrong shape of array with biases, expected rank, length: <=2, %i, but got %i, %i instead !", oC, bias->rankOf(), bias->lengthOf());
+
+    //conv2dMKLDNN(input, weights, bias, output, kH, kW, sH, sW, pH, pW, dH, dW, paddingMode, isNCHW, wFormat);
+#if 0
+        nd4j_printf("conv2d  bS = %d,  iH =%d, iW = %d,  oH=%d, oW=%d  kH=%d, kW=%d wformat=%d, iC =%d, , oC=%d\n",
+       bS, iH, iW, oH, oW, kH, kW, wFormat, iC, oC
+     );
+        nd4j_printf("conv2d kH = %d, kW = %d, sH = %d, sW = %d  , pH = %d  , pW = %d, dH = %d, dW = %d, paddingMode = %d , isNCHW %d \n" , kH , kW , sH , sW  , pH 
+     , pW , dH , dW , paddingMode,isNCHW?1:0 );
+#endif
+
+    auto dataLayout = isNCHW ? arm_compute::DataLayout::NCHW : arm_compute::DataLayout::NHWC;
+    //check weight input datalayout match
+    bool dataLayoutMatch = (isNCHW && wFormat == 1) || (!isNCHW && wFormat == 2);
+    arm_compute::PermutationVector permuteVector;
+    if (!dataLayoutMatch) {
+        //lets premute  
+        if (wFormat == 0) {
+            if (isNCHW) {
+#if 0
+        nd4j_printf("perm choise %d\n",0);
+#endif                    
+                //reshape
+                permuteVector= arm_compute::PermutationVector(2U, 3U, 1U, 0U);
+            }
+            else {
+#if 0
+        nd4j_printf("perm choise %d\n",1);
+#endif                         
+                //reshape
+                permuteVector = arm_compute::PermutationVector(1U, 2U, 3U, 0U);
+            }
+        }
+        else if (wFormat == 1) {
+#if 0
+        nd4j_printf("perm choise %d\n",2);
+#endif                     
+            permuteVector = arm_compute::PermutationVector(2U, 0U, 1U, 3U);
+        }
+        else {
+#if 0
+        nd4j_printf("perm choise %d\n",3);
+#endif                     
+            permuteVector = arm_compute::PermutationVector(1U, 2U, 0U, 3U);
+        }
+    }
+    else {
+#if 0
+        nd4j_printf("perm choise %d\n",4);
+#endif                 
+        //set 0
+        permuteVector.set_num_dimensions(0);
+    }
+    
+    Arm_WeightsInfo wInfo(false, kW, kH, 1); 
+    arm_compute::Size2D dilation(dW, dH);
+    arm_compute::PadStrideInfo pad(sW, sH, padLeft,padRight, padTop, padBottom, arm_compute::DimensionRoundingType::FLOOR);
+    ArmFunctionWeighted conv;
+    conv.configure( input, weights, bias, output, dataLayout, permuteVector, pad, wInfo, dilation);   
+    conv.run(); // run function
+    return Status::OK();
+}
+
+
+PLATFORM_CHECK(conv2d, ENGINE_CPU) {
+
+    auto input = INPUT_VARIABLE(0);
+    auto weights = INPUT_VARIABLE(1);
+    auto output = OUTPUT_VARIABLE(0); 
+    // Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+    auto dTypeInput = getArmType(input->dataType());
+    auto dTypeWeight = getArmType(weights->dataType());
+    auto dTypeOutput = getArmType(output->dataType());  
+    
+    bool isSupported = isArmcomputeFriendly(*input)
+            && isArmcomputeFriendly(*weights)             
+            && isArmcomputeFriendly(*output)
+            && (dTypeInput == Arm_DataType::F32 /*||  dTypeInput == Arm_DataType::F16*/)
+            && (dTypeWeight == dTypeInput)            
+            && (dTypeOutput == dTypeInput); 
+
+#if 0
+nd4j_printf("conv2d isArmcomputeFriendly(*input) = %d , isArmcomputeFriendly(*weights) = %d, isArmcomputeFriendly(*output) %d\n",
+isArmcomputeFriendly(*input),isArmcomputeFriendly(*weights),isArmcomputeFriendly(*output));
+#endif
+    return  isSupported;            
+}
+
+
+
+}
+}
+}
diff --git a/libnd4j/include/ops/declarable/platform/armcompute/deconv2d.cpp b/libnd4j/include/ops/declarable/platform/armcompute/deconv2d.cpp
new file mode 100644
index 000000000..481060073
--- /dev/null
+++ b/libnd4j/include/ops/declarable/platform/armcompute/deconv2d.cpp
@@ -0,0 +1,185 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+ // Created by Abdelrauf (rauf@konduit.ai) 2020
+
+
+#include 
+#include 
+#include  
+#include 
+
+
+#include "armcomputeUtils.h"
+
+
+namespace sd      {
+namespace ops       {
+namespace platforms {
+
+
+ 
+
+//////////////////////////////////////////////////////////////////////
+PLATFORM_IMPL(deconv2d, ENGINE_CPU) {
+
+    auto input   = INPUT_VARIABLE(0);                                    // [bS, iH, iW, iC] (NHWC) or [bS, iC, iH, iW] (NCHW)
+    auto weights = INPUT_VARIABLE(1);                                    // [kH, kW, oC, iC], [iC, oC, kH, kW], [iC, kH, kW, oC]
+    auto bias    = block.width() > 2 ? INPUT_VARIABLE(2) : nullptr;      // [oC]
+
+    auto output  = OUTPUT_VARIABLE(0);                                   // [bS, oH, oW, oC] (NHWC) or [bS, oC, oH, oW] (NCHW)
+
+    REQUIRE_TRUE(input->rankOf()   == 4, 0, "CUSTOM DECONV2D ARMCOMPUTE OP: rank of input array must be equal to 4, but got %i instead !", input->rankOf());
+    REQUIRE_TRUE(weights->rankOf() == 4, 0, "CUSTOM DECONV2D ARMCOMPUTE OP: rank of weights array must be equal to 4, but got %i instead !", weights->rankOf());
+
+    int kH = INT_ARG(0) > 0 ? INT_ARG(0) : static_cast(weights->sizeAt(0));// filter(kernel) height
+    int kW = INT_ARG(1) > 0 ? INT_ARG(1) : static_cast(weights->sizeAt(1));// filter(kernel) width
+    int sH = INT_ARG(2);                                                        // strides height
+    int sW = INT_ARG(3);                                                        // strides width
+    int pH = INT_ARG(4);                                                        // paddings height
+    int pW = INT_ARG(5);                                                        // paddings width
+    int dH = INT_ARG(6);                                                        // dilations height
+    int dW = INT_ARG(7);                                                        // dilations width
+    int paddingMode = INT_ARG(8);                                               // 0-VALID, 1-SAME
+    bool isNCHW = block.getIArguments()->size() > 9 ? !INT_ARG(9) : 1;          // INT_ARG(9): 0-NCHW,  1-NHWC
+    int wFormat = block.getIArguments()->size() > 10 ? INT_ARG(10) : 0;         // 0 - [kH, kW, iC, oC], 1 - [oC, iC, kH, kW], 2 - [oC, kH, kW, iC]
+
+ 
+    // Calculate individual paddings
+    unsigned int padLeft, padTop, padRight, padBottom;
+    int bS, iC, iH, iW, oC, oH, oW;                             // batch size, input channels, input height/width, output channels, output height/width;
+    int indIOioC, indIiH, indWoC, indWiC, indWkH, indOoH;       // corresponding indexes
+    ConvolutionUtils::getSizesAndIndexesConv2d(isNCHW, wFormat, *input, *output, bS, iC, iH, iW, oC, oH, oW, indIOioC, indIiH, indWoC, indWiC, indWkH, indOoH);
+
+    std::vector expectedWeightsShape = ConvolutionUtils::expectWeightsShape(wFormat, kH, kW, oC, iC);
+    REQUIRE_TRUE(weights->isSameShape(expectedWeightsShape), 0, "CUSTOM DECONV2D ARMCOMPUTE OP: wrong shape of weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedWeightsShape).c_str(), ShapeUtils::shapeAsString(weights).c_str());
+    if (bias)
+        REQUIRE_TRUE(bias->rankOf() <= 2 && oC == bias->lengthOf(), 0, "CUSTOM DECONV2D ARMCOMPUTE OP: wrong shape of array with biases, expected rank, length: <=2, %i, but got %i, %i instead !", oC, bias->rankOf(), bias->lengthOf());
+   
+   if(paddingMode){ 
+    //Note: we're intentionally swapping iH and oH, to calculated the padding for a"normal" conv (not deconv) forward pass
+        ConvolutionUtils::calcPadding2D(pH, pW, iH, iW, oH, oW, kH, kW, sH, sW, dH, dW);
+    }
+    padLeft   = pW;
+    padTop    = pH;
+    padRight  = (iW - 1) * sW - oW + kW - pW;
+    padBottom = (iH - 1) * sH - oH + kH - pH;
+    //deconv2dMKLDNN(input, weights, bias, output, kH, kW, sH, sW, pH, pW, dH, dW, paddingMode, isNCHW, wFormat);
+#if 0
+    nd4j_printf("deconv2d  bS = %d,  iH =%d, iW = %d,  oH=%d, oW=%d  kH=%d, kW=%d wformat=%d, iC =%d, , oC=%d\n",
+       bS, iH, iW, oH, oW, kH, kW, wFormat, iC, oC
+     );
+    nd4j_printf("deconv2d kH = %d, kW = %d, sH = %d, sW = %d  , pH = %d  , pW = %d, dH = %d, dW = %d, paddingMode = %d , isNCHW %d \n" , kH , kW , sH , sW  , pH 
+     , pW , dH , dW , paddingMode,isNCHW?1:0 );
+#endif
+
+    auto dataLayout = isNCHW ? arm_compute::DataLayout::NCHW : arm_compute::DataLayout::NHWC;
+    //check weight input datalayout match
+    bool dataLayoutMatch = (isNCHW && wFormat == 1) || (!isNCHW && wFormat == 2);
+    arm_compute::PermutationVector permuteVector;
+    //unlike in cov2d for weights iC and oC permutted : for example  {oC, iC, kH, kW}, {iC, oC, kH, kW}
+    //but we need it normal way for arm
+    if (!dataLayoutMatch) {
+        //lets premute  
+        if (wFormat == 0) {
+            if (isNCHW) {
+#if 0
+                nd4j_printf("perm choise %d\n", 0);
+#endif                    
+                //reshape
+                permuteVector = arm_compute::PermutationVector(2U, 3U, 0U, 1U);
+            }
+            else {
+#if 0
+                nd4j_printf("perm choise %d\n", 1);
+#endif                         
+                //reshape
+                permuteVector = arm_compute::PermutationVector(0U, 2U, 3U, 1U);
+            }
+        }
+        else if (wFormat == 1) {
+#if 0
+            nd4j_printf("perm choise %d\n", 2);
+#endif                     
+            permuteVector = arm_compute::PermutationVector(3U, 0U, 1U, 2U);
+        }
+        else {
+#if 0
+            nd4j_printf("perm choise %d\n", 3);
+#endif                     
+            permuteVector = arm_compute::PermutationVector(1U, 2U, 3U, 0U);
+        }
+    }
+    else {
+//fix weight
+        if(isNCHW){
+#if 0
+        nd4j_printf("perm choise %d\n", 4);
+#endif
+           permuteVector = arm_compute::PermutationVector(0U, 1U, 3U, 2U);
+        }else{
+#if 0
+        nd4j_printf("perm choise %d\n", 5);
+#endif           
+           permuteVector = arm_compute::PermutationVector(3U, 1U, 2U, 0U);
+        } 
+    }
+
+    Arm_WeightsInfo wInfo(false, kW, kH, 1); 
+    arm_compute::PadStrideInfo pad(sW, sH, padLeft,padRight, padTop, padBottom,  arm_compute::DimensionRoundingType::FLOOR);
+    ArmFunctionWeighted deconv;
+    deconv.configure( input, weights, bias, output, dataLayout, permuteVector, pad);     
+    deconv.run(); // run function
+    return Status::OK();
+}
+
+
+PLATFORM_CHECK(deconv2d, ENGINE_CPU) {
+
+    auto input = INPUT_VARIABLE(0);
+    auto weights = INPUT_VARIABLE(1);
+    auto output = OUTPUT_VARIABLE(0); 
+    int dH = INT_ARG(6);
+    int dW = INT_ARG(7);
+    // Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+    auto dTypeInput = getArmType(input->dataType());
+    auto dTypeWeight = getArmType(weights->dataType());
+    auto dTypeOutput = getArmType(output->dataType());  
+    
+    bool isSupported = dW==1 && dH==1
+            && isArmcomputeFriendly(*input)
+            && isArmcomputeFriendly(*weights)             
+            && isArmcomputeFriendly(*output)
+            && (dTypeInput == Arm_DataType::F32 /*||  dTypeInput == Arm_DataType::F16*/)
+            && (dTypeWeight == dTypeInput)            
+            && (dTypeOutput == dTypeInput); 
+
+#if 0
+nd4j_printf("deconv2d isSupported %d : isArmcomputeFriendly(*input) = %d , isArmcomputeFriendly(*weights) = %d, isArmcomputeFriendly(*output) %d\n",
+isSupported, isArmcomputeFriendly(*input),isArmcomputeFriendly(*weights),isArmcomputeFriendly(*output));
+#endif
+    return  isSupported;            
+}
+
+
+
+}
+}
+}
diff --git a/libnd4j/include/ops/declarable/platform/armcompute/maxpooling2d.cpp b/libnd4j/include/ops/declarable/platform/armcompute/maxpooling2d.cpp
index cd6779628..09634efff 100644
--- a/libnd4j/include/ops/declarable/platform/armcompute/maxpooling2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/armcompute/maxpooling2d.cpp
@@ -1,17 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  // Created by Abdelrauf 2020
 
@@ -56,7 +61,7 @@ PLATFORM_IMPL(maxpool2d, ENGINE_CPU) {
     auto dataLayout = isNCHW ? arm_compute::DataLayout::NCHW : arm_compute::DataLayout::NHWC;
 
     // Calculate individual paddings
-    unsigned int pad_left, pad_top, pad_right, pad_bottom;
+    unsigned int padLeft, padTop, padRight, padBottom;
     int bS, iC, iH, iW, oC, oH, oW;                             // batch size, input channels, input height/width, output channels, output height/width;
     int indIOioC, indIiH, indWoC, indWiC, indWkH, indOoH;       // corresponding indexes
     ConvolutionUtils::getSizesAndIndexesConv2d(isNCHW, 0, *input, *output, bS, iC, iH, iW, oC, oH, oW, indIOioC, indIiH, indWiC, indWoC, indWkH, indOoH);
@@ -64,16 +69,16 @@ PLATFORM_IMPL(maxpool2d, ENGINE_CPU) {
     if(paddingMode){ 
         ConvolutionUtils::calcPadding2D(pH, pW, oH, oW, iH, iW, kH, kW, sH, sW, dH, dW); 
     }
-    pad_left   = pW;
-    pad_top    = pH;
-    pad_right  = (oW - 1) * sW - iW + kW - pW ;
-    pad_bottom = (oH - 1) * sH - iH + kH - pH ; 
+    padLeft   = pW;
+    padTop    = pH;
+    padRight  = (oW - 1) * sW - iW + kW - pW ;
+    padBottom = (oH - 1) * sH - iH + kH - pH ; 
 #if 0
     nd4j_printf("avgpool kH = %d, kW = %d, sH = %d, sW = %d  , pH = %d  , pW = %d, dH = %d, dW = %d, paddingMode = %d , isNCHW %d exclude pad %d \n" , kH , kW , sH , sW  , pH 
      , pW , dH , dW , paddingMode,isNCHW?1:0 ,exclude_padding?1:0);
 #endif
 
-    auto poolPad = arm_compute::PadStrideInfo(sW, sH, pad_left,pad_right, pad_top, pad_bottom, arm_compute::DimensionRoundingType::FLOOR);
+    auto poolPad = arm_compute::PadStrideInfo(sW, sH, padLeft,padRight, padTop, padBottom, arm_compute::DimensionRoundingType::FLOOR);
     auto poolInfo = arm_compute::PoolingLayerInfo(arm_compute::PoolingType::MAX, arm_compute::Size2D(kW, kH), dataLayout, poolPad);
     ArmFunction pool;
 
@@ -93,10 +98,10 @@ PLATFORM_CHECK(maxpool2d, ENGINE_CPU) {
     // Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
     auto dTypeInput = getArmType(input->dataType());
     auto dTypeOutput = getArmType(output->dataType());  
-    bool is_supported = dH==1 && dW==1 && isArmcomputeFriendly(*input) && isArmcomputeFriendly(*output)
+    bool isSupported = dH==1 && dW==1 && isArmcomputeFriendly(*input) && isArmcomputeFriendly(*output)
             && (dTypeInput ==Arm_DataType::F32) 
             && (dTypeOutput ==Arm_DataType::F32); 
-    return  is_supported; 
+    return  isSupported; 
 }
 
 
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/avgpool2d.cu b/libnd4j/include/ops/declarable/platform/cudnn/avgpool2d.cu
index eb213f4c2..e536226e0 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/avgpool2d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/avgpool2d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/avgpool3d.cu b/libnd4j/include/ops/declarable/platform/cudnn/avgpool3d.cu
index da2fdbc09..2ca4a661c 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/avgpool3d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/avgpool3d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/batchnorm.cu b/libnd4j/include/ops/declarable/platform/cudnn/batchnorm.cu
index 7568ba47a..f2fcb157c 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/batchnorm.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/batchnorm.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/conv2d.cu b/libnd4j/include/ops/declarable/platform/cudnn/conv2d.cu
index e19751a0e..f5e02b8b1 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/conv2d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/conv2d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/conv3d.cu b/libnd4j/include/ops/declarable/platform/cudnn/conv3d.cu
index f11a590c2..14b0daac9 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/conv3d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/conv3d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.cu b/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.cu
index 54f8a1f3b..c3628fc56 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.h b/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.h
index 3379979a3..103dd0f5d 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.h
+++ b/libnd4j/include/ops/declarable/platform/cudnn/cudnnUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/depthwiseConv2d.cu b/libnd4j/include/ops/declarable/platform/cudnn/depthwiseConv2d.cu
index a1f408cc5..ccb72b419 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/depthwiseConv2d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/depthwiseConv2d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/maxpool2d.cu b/libnd4j/include/ops/declarable/platform/cudnn/maxpool2d.cu
index 5bb646f57..cde7c563c 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/maxpool2d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/maxpool2d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/cudnn/maxpool3d.cu b/libnd4j/include/ops/declarable/platform/cudnn/maxpool3d.cu
index f7b9c8b50..9fbf611b2 100644
--- a/libnd4j/include/ops/declarable/platform/cudnn/maxpool3d.cu
+++ b/libnd4j/include/ops/declarable/platform/cudnn/maxpool3d.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling2d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling2d.cpp
index 4adab2dfe..a67cd2858 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling3d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling3d.cpp
index 96110bd29..1ee3c0869 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling3d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/avgpooling3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/batchnorm.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/batchnorm.cpp
index 6e0b1685a..3d2d266c7 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/batchnorm.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/batchnorm.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author saudet
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/concat.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/concat.cpp
index 3bf97e586..339ca84c4 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/concat.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/concat.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/conv2d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/conv2d.cpp
index a889d0302..9cff53530 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/conv2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/conv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/conv3d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/conv3d.cpp
index bfa9e49d1..c9e824ae7 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/conv3d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/conv3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d.cpp
index b7b58b409..1b62ab5d2 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d_tf.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d_tf.cpp
index 10e3ba77e..05c5ba8de 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d_tf.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/deconv2d_tf.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/deconv3d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/deconv3d.cpp
index 59f355c6e..5820dbaba 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/deconv3d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/deconv3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/depthwiseConv2d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/depthwiseConv2d.cpp
index 938494d5a..7706b2b07 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/depthwiseConv2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/depthwiseConv2d.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author Yurii Shyrma (iuriish@yahoo.com)
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/lrn.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/lrn.cpp
index 583ab0852..647a0cf30 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/lrn.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/lrn.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/lstmLayer.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/lstmLayer.cpp
index a74a55732..9f8fb21ec 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/lstmLayer.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/lstmLayer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/matmul.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/matmul.cpp
index f242b2e79..73ddcab91 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/matmul.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/matmul.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling2d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling2d.cpp
index 50b3fafa5..6a996424a 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling2d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling2d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling3d.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling3d.cpp
index 078b45ba0..9ffce8893 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling3d.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/maxpooling3d.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.cpp
index dcc0258f4..4d736d749 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.h b/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.h
index f3ff327a4..44b1368f6 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.h
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/mkldnnUtils.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/softmax.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/softmax.cpp
index 9935fd50f..8d30030e2 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/softmax.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/softmax.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  //  @author Oleg Semeniv 
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/tanh.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/tanh.cpp
index a808239de..3d1fdbb62 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/tanh.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/tanh.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  //  @author Oleg Semeniv 
diff --git a/libnd4j/include/ops/declarable/platform/mkldnn/xw_plus_b.cpp b/libnd4j/include/ops/declarable/platform/mkldnn/xw_plus_b.cpp
index 1097ccd34..e00450f24 100644
--- a/libnd4j/include/ops/declarable/platform/mkldnn/xw_plus_b.cpp
+++ b/libnd4j/include/ops/declarable/platform/mkldnn/xw_plus_b.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
  //
  //  @author Oleg Semeniv 
diff --git a/libnd4j/include/ops/gemm.h b/libnd4j/include/ops/gemm.h
index 23f1636a2..8026fa21e 100644
--- a/libnd4j/include/ops/gemm.h
+++ b/libnd4j/include/ops/gemm.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/BroadcastBoolOpsTuple.cpp b/libnd4j/include/ops/impl/BroadcastBoolOpsTuple.cpp
index 7e903346b..3d3056951 100644
--- a/libnd4j/include/ops/impl/BroadcastBoolOpsTuple.cpp
+++ b/libnd4j/include/ops/impl/BroadcastBoolOpsTuple.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/BroadcastIntOpsTuple.cpp b/libnd4j/include/ops/impl/BroadcastIntOpsTuple.cpp
index 5680b8056..0e4612330 100644
--- a/libnd4j/include/ops/impl/BroadcastIntOpsTuple.cpp
+++ b/libnd4j/include/ops/impl/BroadcastIntOpsTuple.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/BroadcastOpsTuple.cpp b/libnd4j/include/ops/impl/BroadcastOpsTuple.cpp
index 71afe8260..2e84e90ea 100644
--- a/libnd4j/include/ops/impl/BroadcastOpsTuple.cpp
+++ b/libnd4j/include/ops/impl/BroadcastOpsTuple.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/compilation_units/specials_double.cpp.in b/libnd4j/include/ops/impl/compilation_units/specials_double.cpp.in
index 00e0883f7..924e4c662 100644
--- a/libnd4j/include/ops/impl/compilation_units/specials_double.cpp.in
+++ b/libnd4j/include/ops/impl/compilation_units/specials_double.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/impl/compilation_units/specials_single.cpp.in b/libnd4j/include/ops/impl/compilation_units/specials_single.cpp.in
index 49110d829..b537293d1 100644
--- a/libnd4j/include/ops/impl/compilation_units/specials_single.cpp.in
+++ b/libnd4j/include/ops/impl/compilation_units/specials_single.cpp.in
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/include/ops/impl/gemm.cpp b/libnd4j/include/ops/impl/gemm.cpp
index 8632ddcb9..f4124fc66 100644
--- a/libnd4j/include/ops/impl/gemm.cpp
+++ b/libnd4j/include/ops/impl/gemm.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/specials_double.hpp b/libnd4j/include/ops/impl/specials_double.hpp
index d219220ac..9ad10bd8c 100644
--- a/libnd4j/include/ops/impl/specials_double.hpp
+++ b/libnd4j/include/ops/impl/specials_double.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/specials_single.hpp b/libnd4j/include/ops/impl/specials_single.hpp
index b6d717b83..2a0a47b29 100644
--- a/libnd4j/include/ops/impl/specials_single.hpp
+++ b/libnd4j/include/ops/impl/specials_single.hpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/impl/specials_sparse.cpp b/libnd4j/include/ops/impl/specials_sparse.cpp
index ae9669f46..6f0a10b13 100644
--- a/libnd4j/include/ops/impl/specials_sparse.cpp
+++ b/libnd4j/include/ops/impl/specials_sparse.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/meta_ops.h b/libnd4j/include/ops/meta_ops.h
index a2120477d..d882ea3db 100644
--- a/libnd4j/include/ops/meta_ops.h
+++ b/libnd4j/include/ops/meta_ops.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/ops.h b/libnd4j/include/ops/ops.h
index aca6fec6f..142bac78f 100644
--- a/libnd4j/include/ops/ops.h
+++ b/libnd4j/include/ops/ops.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/random_ops.h b/libnd4j/include/ops/random_ops.h
index d738589a7..eba2f86f3 100644
--- a/libnd4j/include/ops/random_ops.h
+++ b/libnd4j/include/ops/random_ops.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/special_random_ops.h b/libnd4j/include/ops/special_random_ops.h
index f9bacf5cb..7e77b86d1 100644
--- a/libnd4j/include/ops/special_random_ops.h
+++ b/libnd4j/include/ops/special_random_ops.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/specials.h b/libnd4j/include/ops/specials.h
index ed5f8fb8c..1be0867ab 100644
--- a/libnd4j/include/ops/specials.h
+++ b/libnd4j/include/ops/specials.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/specials_cuda.h b/libnd4j/include/ops/specials_cuda.h
index a12fd302f..d0267e7ed 100644
--- a/libnd4j/include/ops/specials_cuda.h
+++ b/libnd4j/include/ops/specials_cuda.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/ops/specials_sparse.h b/libnd4j/include/ops/specials_sparse.h
index 35069048f..f3ff91ba6 100644
--- a/libnd4j/include/ops/specials_sparse.h
+++ b/libnd4j/include/ops/specials_sparse.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/performance/benchmarking/BenchmarkSuit.h b/libnd4j/include/performance/benchmarking/BenchmarkSuit.h
index 7805e570e..782b4a821 100644
--- a/libnd4j/include/performance/benchmarking/BenchmarkSuit.h
+++ b/libnd4j/include/performance/benchmarking/BenchmarkSuit.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/performance/benchmarking/FullBenchmarkSuit.h b/libnd4j/include/performance/benchmarking/FullBenchmarkSuit.h
index 6b2314b96..8c4f5369d 100644
--- a/libnd4j/include/performance/benchmarking/FullBenchmarkSuit.h
+++ b/libnd4j/include/performance/benchmarking/FullBenchmarkSuit.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/performance/benchmarking/LightBenchmarkSuit.h b/libnd4j/include/performance/benchmarking/LightBenchmarkSuit.h
index 65a74b1fe..76f414f66 100644
--- a/libnd4j/include/performance/benchmarking/LightBenchmarkSuit.h
+++ b/libnd4j/include/performance/benchmarking/LightBenchmarkSuit.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/performance/benchmarking/impl/BenchmarkSuit.cpp b/libnd4j/include/performance/benchmarking/impl/BenchmarkSuit.cpp
index 902480092..9e4f3ab49 100644
--- a/libnd4j/include/performance/benchmarking/impl/BenchmarkSuit.cpp
+++ b/libnd4j/include/performance/benchmarking/impl/BenchmarkSuit.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/performance/benchmarking/impl/FullBenchmarkSuit.cpp b/libnd4j/include/performance/benchmarking/impl/FullBenchmarkSuit.cpp
index 0eabe959a..9c61c0242 100644
--- a/libnd4j/include/performance/benchmarking/impl/FullBenchmarkSuit.cpp
+++ b/libnd4j/include/performance/benchmarking/impl/FullBenchmarkSuit.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/performance/benchmarking/impl/LightBenchmarkSuit.cpp b/libnd4j/include/performance/benchmarking/impl/LightBenchmarkSuit.cpp
index 99a1b05bf..b1733dfeb 100644
--- a/libnd4j/include/performance/benchmarking/impl/LightBenchmarkSuit.cpp
+++ b/libnd4j/include/performance/benchmarking/impl/LightBenchmarkSuit.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/samediff.h b/libnd4j/include/samediff.h
index 4907c9802..891b06257 100644
--- a/libnd4j/include/samediff.h
+++ b/libnd4j/include/samediff.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/BlasVersionHelper.h b/libnd4j/include/system/BlasVersionHelper.h
index 7cc97a26c..19061d580 100644
--- a/libnd4j/include/system/BlasVersionHelper.h
+++ b/libnd4j/include/system/BlasVersionHelper.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/Environment.h b/libnd4j/include/system/Environment.h
index 9b2a4b65b..cec51e0c2 100644
--- a/libnd4j/include/system/Environment.h
+++ b/libnd4j/include/system/Environment.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/buffer.h b/libnd4j/include/system/buffer.h
index 5072965ca..6913f86a4 100755
--- a/libnd4j/include/system/buffer.h
+++ b/libnd4j/include/system/buffer.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/dll.h b/libnd4j/include/system/dll.h
index 71098f8bf..93caffa37 100644
--- a/libnd4j/include/system/dll.h
+++ b/libnd4j/include/system/dll.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/enum_boilerplate.h b/libnd4j/include/system/enum_boilerplate.h
index 2acb1536a..b5a2146db 100644
--- a/libnd4j/include/system/enum_boilerplate.h
+++ b/libnd4j/include/system/enum_boilerplate.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/msvc.h b/libnd4j/include/system/msvc.h
index c884736f3..50013e2a5 100644
--- a/libnd4j/include/system/msvc.h
+++ b/libnd4j/include/system/msvc.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/nd4jmalloc.h b/libnd4j/include/system/nd4jmalloc.h
index c808aad09..ec4f60501 100644
--- a/libnd4j/include/system/nd4jmalloc.h
+++ b/libnd4j/include/system/nd4jmalloc.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by Administrator on 3/6/2016.
diff --git a/libnd4j/include/system/nd4jmemset.h b/libnd4j/include/system/nd4jmemset.h
index 6482dcb8a..b02837a6f 100644
--- a/libnd4j/include/system/nd4jmemset.h
+++ b/libnd4j/include/system/nd4jmemset.h
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by Administrator on 3/6/2016.
diff --git a/libnd4j/include/system/op_boilerplate.h b/libnd4j/include/system/op_boilerplate.h
index 0c2630f22..a57b050ec 100644
--- a/libnd4j/include/system/op_boilerplate.h
+++ b/libnd4j/include/system/op_boilerplate.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/op_enums.h b/libnd4j/include/system/op_enums.h
index ad16d281e..d3e2566d9 100644
--- a/libnd4j/include/system/op_enums.h
+++ b/libnd4j/include/system/op_enums.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/openmp_pragmas.h b/libnd4j/include/system/openmp_pragmas.h
index 667f54521..925ecf046 100644
--- a/libnd4j/include/system/openmp_pragmas.h
+++ b/libnd4j/include/system/openmp_pragmas.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/optype.h b/libnd4j/include/system/optype.h
index 70323f104..ab01f64dc 100644
--- a/libnd4j/include/system/optype.h
+++ b/libnd4j/include/system/optype.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/pairwise_util.h b/libnd4j/include/system/pairwise_util.h
index d9e0965c8..65ff05286 100755
--- a/libnd4j/include/system/pairwise_util.h
+++ b/libnd4j/include/system/pairwise_util.h
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by agibsonccc on 2/15/16.
diff --git a/libnd4j/include/system/platform_boilerplate.h b/libnd4j/include/system/platform_boilerplate.h
index b74a0530f..392a19ad1 100644
--- a/libnd4j/include/system/platform_boilerplate.h
+++ b/libnd4j/include/system/platform_boilerplate.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/play.h b/libnd4j/include/system/play.h
index 9e121d88b..484259e57 100644
--- a/libnd4j/include/system/play.h
+++ b/libnd4j/include/system/play.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/pointercast.h b/libnd4j/include/system/pointercast.h
index 778667402..c95ca1101 100644
--- a/libnd4j/include/system/pointercast.h
+++ b/libnd4j/include/system/pointercast.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/type_boilerplate.h b/libnd4j/include/system/type_boilerplate.h
index 997fcab22..da9a8f340 100644
--- a/libnd4j/include/system/type_boilerplate.h
+++ b/libnd4j/include/system/type_boilerplate.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/system/util.h b/libnd4j/include/system/util.h
index aa2055606..104ea1ba2 100644
--- a/libnd4j/include/system/util.h
+++ b/libnd4j/include/system/util.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/bfloat16.h b/libnd4j/include/types/bfloat16.h
index a05909816..2817e82c7 100644
--- a/libnd4j/include/types/bfloat16.h
+++ b/libnd4j/include/types/bfloat16.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/float16.h b/libnd4j/include/types/float16.h
index bb606de05..ed0b1b3ae 100644
--- a/libnd4j/include/types/float16.h
+++ b/libnd4j/include/types/float16.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/float8.h b/libnd4j/include/types/float8.h
index 6dc03bba4..d2e857660 100644
--- a/libnd4j/include/types/float8.h
+++ b/libnd4j/include/types/float8.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/float8.cpp b/libnd4j/include/types/impl/float8.cpp
index b36846e35..0d089d177 100644
--- a/libnd4j/include/types/impl/float8.cpp
+++ b/libnd4j/include/types/impl/float8.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/int16.cpp b/libnd4j/include/types/impl/int16.cpp
index 67f90e9d8..29bc9b98d 100644
--- a/libnd4j/include/types/impl/int16.cpp
+++ b/libnd4j/include/types/impl/int16.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/int8.cpp b/libnd4j/include/types/impl/int8.cpp
index 030695f96..9e15b471b 100644
--- a/libnd4j/include/types/impl/int8.cpp
+++ b/libnd4j/include/types/impl/int8.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/pair.cpp b/libnd4j/include/types/impl/pair.cpp
index 767bfa630..32f47cd73 100644
--- a/libnd4j/include/types/impl/pair.cpp
+++ b/libnd4j/include/types/impl/pair.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/triple.cpp b/libnd4j/include/types/impl/triple.cpp
index 0b39d4bac..2e791249f 100644
--- a/libnd4j/include/types/impl/triple.cpp
+++ b/libnd4j/include/types/impl/triple.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/uint16.cpp b/libnd4j/include/types/impl/uint16.cpp
index 5b858222d..fe4595f1a 100644
--- a/libnd4j/include/types/impl/uint16.cpp
+++ b/libnd4j/include/types/impl/uint16.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/uint8.cpp b/libnd4j/include/types/impl/uint8.cpp
index a6d25c9d3..ffd0ca188 100644
--- a/libnd4j/include/types/impl/uint8.cpp
+++ b/libnd4j/include/types/impl/uint8.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/impl/utf8string.cpp b/libnd4j/include/types/impl/utf8string.cpp
index a7df7cc28..c49708639 100644
--- a/libnd4j/include/types/impl/utf8string.cpp
+++ b/libnd4j/include/types/impl/utf8string.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/int16.h b/libnd4j/include/types/int16.h
index 25a771381..ca84fa1f3 100644
--- a/libnd4j/include/types/int16.h
+++ b/libnd4j/include/types/int16.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/int8.h b/libnd4j/include/types/int8.h
index 19e1b91e1..9359a062a 100644
--- a/libnd4j/include/types/int8.h
+++ b/libnd4j/include/types/int8.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/pair.h b/libnd4j/include/types/pair.h
index 0471c45ed..8d0341589 100644
--- a/libnd4j/include/types/pair.h
+++ b/libnd4j/include/types/pair.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/triple.h b/libnd4j/include/types/triple.h
index 0a5310265..4b915c52e 100644
--- a/libnd4j/include/types/triple.h
+++ b/libnd4j/include/types/triple.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/types.h b/libnd4j/include/types/types.h
index 7717c8019..1c2961bb7 100644
--- a/libnd4j/include/types/types.h
+++ b/libnd4j/include/types/types.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -87,7 +89,8 @@
 
 #define FLOAT_NATIVE \
         (sd::DataType::FLOAT32, float), \
-        (sd::DataType::DOUBLE, double)
+        (sd::DataType::DOUBLE, double), \
+        (sd::DataType::HALF, float16)
 
 #define FLOAT_TYPES_0 \
         (sd::DataType::HALF, float16)
diff --git a/libnd4j/include/types/u32.h b/libnd4j/include/types/u32.h
index 115b207cb..70bfd20c8 100644
--- a/libnd4j/include/types/u32.h
+++ b/libnd4j/include/types/u32.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/u64.h b/libnd4j/include/types/u64.h
index 908a9ba1c..1777230c3 100644
--- a/libnd4j/include/types/u64.h
+++ b/libnd4j/include/types/u64.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/uint16.h b/libnd4j/include/types/uint16.h
index 5fee50e7a..e286b333d 100644
--- a/libnd4j/include/types/uint16.h
+++ b/libnd4j/include/types/uint16.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/uint8.h b/libnd4j/include/types/uint8.h
index a2505c9ab..d249903fb 100644
--- a/libnd4j/include/types/uint8.h
+++ b/libnd4j/include/types/uint8.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/include/types/utf8string.h b/libnd4j/include/types/utf8string.h
index ed25c6e10..d4467152b 100644
--- a/libnd4j/include/types/utf8string.h
+++ b/libnd4j/include/types/utf8string.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/minifier/graphopt.cpp b/libnd4j/minifier/graphopt.cpp
index 50321aacc..ddb7ccc93 100644
--- a/libnd4j/minifier/graphopt.cpp
+++ b/libnd4j/minifier/graphopt.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/minifier/graphopt.h b/libnd4j/minifier/graphopt.h
index 329fc22d6..fc5b5db5a 100644
--- a/libnd4j/minifier/graphopt.h
+++ b/libnd4j/minifier/graphopt.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/minifier/minifier.cpp b/libnd4j/minifier/minifier.cpp
index 043f2b696..1499f7230 100644
--- a/libnd4j/minifier/minifier.cpp
+++ b/libnd4j/minifier/minifier.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/packages/push_to_bintray.sh b/libnd4j/packages/push_to_bintray.sh
index 78fbed761..5f49f438d 100755
--- a/libnd4j/packages/push_to_bintray.sh
+++ b/libnd4j/packages/push_to_bintray.sh
@@ -1,23 +1,29 @@
 #!/bin/bash -u
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
-# push_to_bintray.sh - francois@skymind.io
 
-# This script push a package to Bintray repo
+
+
+
+
 
 function usage() {
   echo "$0 username api_key organisation package_file site_url"
diff --git a/libnd4j/pi_build.sh b/libnd4j/pi_build.sh
index f96c3f1f1..d1e3ba1fc 100755
--- a/libnd4j/pi_build.sh
+++ b/libnd4j/pi_build.sh
@@ -1,185 +1,320 @@
-#!/bin/bash
-TARGET=armv7-a
-BLAS_TARGET_NAME=ARMV7
-ARMCOMPUTE_TARGET=armv7a
-#BASE_DIR=${HOME}/pi
-#https://stackoverflow.com/questions/59895/how-to-get-the-source-directory-of-a-bash-script-from-within-the-script-itself
-SOURCE="${BASH_SOURCE[0]}"
-ARMCOMPUTE_DEBUG=1
-LIBND4J_BUILD_MODE=Release
-while [ -h "$SOURCE" ]; do # resolve $SOURCE until the file is no longer a symlink
-  DIR="$( cd -P "$( dirname "$SOURCE" )" >/dev/null 2>&1 && pwd )"
-  SOURCE="$(readlink "$SOURCE")"
-  [[ $SOURCE != /* ]] && SOURCE="$DIR/$SOURCE" # if $SOURCE was a relative symlink, we need to resolve it relative to the path where the symlink file was located
-done
-BASE_DIR="$( cd -P "$( dirname "$SOURCE" )" >/dev/null 2>&1 && pwd )"
-CMAKE=cmake #/snap/bin/cmake
-
-mkdir -p ${BASE_DIR}/helper_bin/
-
-CROSS_COMPILER_URL=https://sourceforge.net/projects/raspberry-pi-cross-compilers/files/Raspberry%20Pi%20GCC%20Cross-Compiler%20Toolchains/Buster/GCC%208.3.0/Raspberry%20Pi%203A%2B%2C%203B%2B%2C%204/cross-gcc-8.3.0-pi_3%2B.tar.gz/download
-CROSS_COMPILER_DIR=${BASE_DIR}/helper_bin/cross_compiler
-
-SCONS_LOCAL_URL=http://prdownloads.sourceforge.net/scons/scons-local-3.1.1.tar.gz
-SCONS_LOCAL_DIR=${BASE_DIR}/helper_bin/scons_local
-
-THIRD_PARTY=${BASE_DIR}/third_party_libs
-
-ARMCOMPUTE_GIT_URL=https://github.com/ARM-software/ComputeLibrary.git
-ARMCOMPUTE_TAG=v20.05
-ARMCOMPUTE_DIR=${THIRD_PARTY}/arm_compute_dir
-
-OPENBLAS_GIT_URL="https://github.com/xianyi/OpenBLAS.git"
-OPENBLAS_DIR=${THIRD_PARTY}/OpenBLAS
-
-
-LIBND4J_SRC_DIR=${BASE_DIR}
-
-LIBND4J_BUILD_DIR=${BASE_DIR}/build_pi
-
-#for some downloads
-XRTACT_STRIP="--strip-components=1"
-
-HAS_ARMCOMPUTE=1
-mkdir -p ${BASE_DIR}
-mkdir -p ${THIRD_PARTY}
-
-#change directory to base
-cd $BASE_DIR
-
-function message {
-	echo "BUILDER:::: ${@}"
-}
-
-
-function check_requirements {
-	for i in "${@}"
-	do
-      if [ ! -e "$i" ]; then
-         message "missing: ${i}"
-		 exit -2
-	  fi
-	done
-}
-
-function download_extract {
-	#$1 is url #2 is dir $3 is extract argument
-	if [ ! -f ${2}_file ]; then
-		message "download"
-		wget --quiet --show-progress -O ${2}_file ${1}
-	fi
- 
-	message "extract"
-    #extract
-	mkdir -p ${2}
-	command="tar -xzf ${2}_file --directory=${2} ${3} "
-	message $command
-	$command
-
-	check_requirements "${2}"
-}
-
-function git_check {
-	#$1 is url #$2 is dir #$3 is tag or branch if optional
-	command="git clone --quiet ${1} ${2}"
-	message "$command"
-	$command 
-	if [ -n "$3" ]; then
-		cd ${2}
-		command="git checkout ${3}"
-		message "$command"
-		$command 
-		cd ${BASE_DIR}
-	fi
-	check_requirements "${2}"
-}
-
-
-if [ ! -d ${CROSS_COMPILER_DIR} ]; then
-	#out file
-	message "download CROSS_COMPILER"
-	download_extract ${CROSS_COMPILER_URL} ${CROSS_COMPILER_DIR} ${XRTACT_STRIP}
-fi
-
-#useful exports
-export PI_FOLDER=${CROSS_COMPILER_DIR}
-export RPI_BIN=${PI_FOLDER}/bin/arm-linux-gnueabihf
-export PI_SYS_ROOT=${PI_FOLDER}/arm-linux-gnueabihf/libc
-export LD_LIBRARY_PATH=${PI_FOLDER}/lib:$LD_LIBRARY_PATH
-export CC=${RPI_BIN}-gcc
-export FC=${RPI_BIN}-gfortran
-export CXX=${RPI_BIN}-g++
-export CPP=${RPI_BIN}-cpp
-export RANLIB=${RPI_BIN}-gcc-ranlib
-export LD="${RPI_BIN}-ld"
-export AR="${RPI_BIN}-ar"
-
-
-#lets build OpenBlas 
-if [ ! -d "${OPENBLAS_DIR}" ]; then 
-	message "download OpenBLAS"
-	git_check "${OPENBLAS_GIT_URL}" "${OPENBLAS_DIR}"
-fi
-
-if [ ! -f "${THIRD_PARTY}/lib/libopenblas.so" ]; then
-	message "build and install OpenBLAS" 
-	cd ${OPENBLAS_DIR}
-
-	command="make TARGET=${BLAS_TARGET_NAME} HOSTCC=gcc CC=${CC} USE_THREAD=0 NOFORTRAN=1 CFLAGS=--sysroot=${PI_SYS_ROOT} LDFLAGS=\"-L${PI_SYS_ROOT}/../lib/ -lm\"  &>/dev/null"
-	message $command
-	eval $command 
-    message "install it"
-	command="make PREFIX=${THIRD_PARTY} install"
-	message $command
-	$command
-	cd $BASE_DIR
-
-fi
-check_requirements ${THIRD_PARTY}/lib/libopenblas.so
-
-
-
-if [ ! -d ${SCONS_LOCAL_DIR} ]; then
-	#out file
-	message "download Scons local"
-	download_extract ${SCONS_LOCAL_URL} ${SCONS_LOCAL_DIR}
-fi
-check_requirements ${SCONS_LOCAL_DIR}/scons.py
-
-
-if [ ! -d "${ARMCOMPUTE_DIR}" ]; then 
-	message "download ArmCompute Source" 
-	git_check ${ARMCOMPUTE_GIT_URL} "${ARMCOMPUTE_DIR}" "tags/${ARMCOMPUTE_TAG}" 
-fi
-
-#build armcompute
-if [ ! -f "${ARMCOMPUTE_DIR}/build/libarm_compute-static.a" ]; then
-message "build arm compute"
-cd ${ARMCOMPUTE_DIR}
-command="CC=gcc CXX=g++ python3 ${SCONS_LOCAL_DIR}/scons.py Werror=1 -j$(nproc) toolchain_prefix=${RPI_BIN}- debug=${ARMCOMPUTE_DEBUG}  neon=1 opencl=0 extra_cxx_flags=-fPIC os=linux build=cross_compile arch=${ARMCOMPUTE_TARGET} &>/dev/null"
-message $command
-eval $command
-cd ${BASE_DIR} 
-fi
-check_requirements "${ARMCOMPUTE_DIR}/build/libarm_compute-static.a" "${ARMCOMPUTE_DIR}/build/libarm_compute_core-static.a"
-
-
-
-message "build cmake for LIBND4J. output: ${LIBND4J_BUILD_DIR}"
-
-TOOLCHAIN=${LIBND4J_SRC_DIR}/cmake/rpi.cmake
-cmake_cmd="${CMAKE}  -G \"Unix Makefiles\"  -B${LIBND4J_BUILD_DIR} -S${LIBND4J_SRC_DIR}  -DCMAKE_BUILD_TYPE=${LIBND4J_BUILD_MODE} -DCMAKE_TOOLCHAIN_FILE=${TOOLCHAIN} -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DSD_ALL_OPS=true  -DSD_CPU=true -DSD_LIBRARY_NAME=nd4jcpu -DSD_BUILD_TESTS=ON -DSD_ARM_BUILD=true -DOPENBLAS_PATH=${THIRD_PARTY} -DSD_ARCH=${TARGET} -DARMCOMPUTE_ROOT=${ARMCOMPUTE_DIR} -DHELPERS_armcompute=${HAS_ARMCOMPUTE}"
-message $cmake_cmd
-eval $cmake_cmd
-
-#build
-message "lets build"
-
-cd ${LIBND4J_BUILD_DIR}
-make -j $(nproc)
-
-
-
-
-
-
+#!/usr/bin/env bash
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+function message {
+	echo "BUILDER:::: ${@}"
+}
+
+BUILD_USING_MAVEN=
+CURRENT_TARGET=arm32
+HAS_ARMCOMPUTE=1
+ARMCOMPUTE_DEBUG=0
+ARMCOMPUTE_TAG=v20.05
+LIBND4J_BUILD_MODE=Release
+export ANDROID_VERSION=21
+OTHER_ARGS=()
+while [[ $# -gt 0 ]]
+do
+key="$1"
+
+case $key in
+    -a|--arch)
+    CURRENT_TARGET="$2"
+    shift
+    shift
+    ;;
+    -m|--mvn)
+    BUILD_USING_MAVEN="mvn"
+    shift
+    ;;
+    *)
+    OTHER_ARGS+=("$1")
+    shift
+    ;;
+esac
+done
+
+CC_URL32="https://developer.arm.com/-/media/Files/downloads/gnu-a/8.3-2019.03/binrel/gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf.tar.xz?revision=e09a1c45-0ed3-4a8e-b06b-db3978fd8d56&la=en&hash=93ED4444B8B3A812B893373B490B90BBB28FD2E3"
+CC_URL64="https://developer.arm.com/-/media/Files/downloads/gnu-a/8.3-2019.03/binrel/gcc-arm-8.3-2019.03-x86_64-aarch64-linux-gnu.tar.xz?revision=2e88a73f-d233-4f96-b1f4-d8b36e9bb0b9&la=en&hash=167687FADA00B73D20EED2A67D0939A197504ACD"
+CC_ANDROID="https://dl.google.com/android/repository/android-ndk-r21d-linux-x86_64.zip"
+TARGET_ARRS=( arm32 arm64 android-arm android-arm64 )
+COMPILER_ARRS=( "${CC_URL32}" "${CC_URL64}" "${CC_ANDROID}" "${CC_ANDROID}" )
+COMPILER_DOWNLOAD_CMD_LIST=( download_extract_xz download_extract_xz download_extract_unzip download_extract_unzip )
+COMPILER_DESTDIR=( "arm32" "arm64" "android" "android" )
+
+OPENBLAS_TARGETS=( ARMV7 ARMV8 ARMV7 ARMV8)
+ARMCOMPUTE_TARGETS=( armv7a arm64-v8a armv7a arm64-v8a)
+OS_LIST=( linux linux android android)
+LIBND4J_PLATFORM_EXT_LIST=( armhf arm64 arm arm64 )
+PREFIXES=( arm-linux-gnueabihf aarch64-linux-gnu arm-linux-androideabi aarch64-linux-android )
+TARGET_INDEX=-1
+
+for i in "${!TARGET_ARRS[@]}"; do
+   if [[ "${TARGET_ARRS[$i]}" = "${CURRENT_TARGET}" ]]; then
+       TARGET_INDEX=${i}
+   fi
+done
+
+if [ ${TARGET_INDEX} -eq -1 ];then
+	message "could not find  ${CURRENT_TARGET} in ${TARGET_ARRS[@]}"
+	exit -1
+fi
+
+#BASE_DIR=${HOME}/pi
+#https://stackoverflow.com/questions/59895/how-to-get-the-source-directory-of-a-bash-script-from-within-the-script-itself
+SOURCE="${BASH_SOURCE[0]}"
+while [ -h "$SOURCE" ]; do # resolve $SOURCE until the file is no longer a symlink
+  DIR="$( cd -P "$( dirname "$SOURCE" )" >/dev/null 2>&1 && pwd )"
+  SOURCE="$(readlink "$SOURCE")"
+  [[ $SOURCE != /* ]] && SOURCE="$DIR/$SOURCE" # if $SOURCE was a relative symlink, we need to resolve it relative to the path where the symlink file was located
+done
+BASE_DIR="$( cd -P "$( dirname "$SOURCE" )" >/dev/null 2>&1 && pwd )"
+
+CROSS_COMPILER_URL=${COMPILER_ARRS[$TARGET_INDEX]}
+CROSS_COMPILER_DIR=${BASE_DIR}/compile_tools/cross_compiler_${COMPILER_DESTDIR[$TARGET_INDEX]}
+COMPILER_DOWNLOAD_CMD=${COMPILER_DOWNLOAD_CMD_LIST[$TARGET_INDEX]}
+DETECT=${DETECT_LIST[$TARGET_INDEX]}
+LIBND4J_PLATFORM_EXT=${LIBND4J_PLATFORM_EXT_LIST[$TARGET_INDEX]}
+BLAS_TARGET_NAME=${OPENBLAS_TARGETS[$TARGET_INDEX]}
+ARMCOMPUTE_TARGET=${ARMCOMPUTE_TARGETS[$TARGET_INDEX]}
+TARGET_OS=${OS_LIST[$TARGET_INDEX]}
+LIBND4J_PLATFORM=${TARGET_OS}-${LIBND4J_PLATFORM_EXT}
+PREFIX=${PREFIXES[$TARGET_INDEX]}
+
+CMAKE=cmake #/snap/bin/cmake
+mkdir -p ${BASE_DIR}/compile_tools/
+
+SCONS_LOCAL_URL=http://prdownloads.sourceforge.net/scons/scons-local-3.1.1.tar.gz
+SCONS_LOCAL_DIR=${BASE_DIR}/compile_tools/scons_local
+
+THIRD_PARTY=${BASE_DIR}/third_party_libs${TARGET_INDEX}
+
+ARMCOMPUTE_GIT_URL=https://github.com/ARM-software/ComputeLibrary.git
+ARMCOMPUTE_DIR=${THIRD_PARTY}/arm_compute_dir
+
+OPENBLAS_GIT_URL="https://github.com/xianyi/OpenBLAS.git"
+OPENBLAS_DIR=${THIRD_PARTY}/OpenBLAS
+
+
+mkdir -p ${BASE_DIR}
+mkdir -p ${THIRD_PARTY}
+
+#change directory to base
+cd $BASE_DIR
+
+function check_requirements {
+	for i in "${@}"
+	do
+      if [ ! -e "$i" ]; then
+         message "missing: ${i}"
+		 exit -2
+	  fi
+	done
+}
+
+function rename_top_folder {
+	for dir in ${1}/*
+	do
+		if [ -d "$dir" ]
+		then
+		    mv "${dir}" "${1}/folder/"
+			message "${dir} => ${1}/folder/"
+			break
+		fi
+	done
+}
+
+function download_extract_base {
+	#$1 is url #2 is dir $3 is extract argument
+	if [ ! -f ${3}_file ]; then
+		message "download"
+		wget --quiet --show-progress -O ${3}_file ${2}
+	fi
+ 
+	message "extract $@"
+    #extract
+	mkdir -p ${3} 
+	if [ ${1} = "-unzip" ]; then
+		command="unzip -qq ${3}_file -d ${3} "
+	else
+		command="tar ${1}  ${3}_file --directory=${3} "
+	fi
+	message $command
+	$command
+	check_requirements "${3}"
+}
+
+function download_extract {
+	download_extract_base -xzf $@
+}
+
+function download_extract_xz {
+	download_extract_base -xf $@
+}
+
+function download_extract_unzip {
+	download_extract_base -unzip $@
+}
+
+function git_check {
+	#$1 is url #$2 is dir #$3 is tag or branch if optional
+	command=
+	if [ -n "$3" ]; then
+	    command="git clone --quiet --depth 1 --branch ${3} ${1} ${2}"	
+	else 
+	command="git clone --quiet ${1} ${2}"
+	fi
+	message "$command"
+	$command 
+	check_requirements "${2}"
+}
+
+#fix py debug linkage manually and also makes it use gold
+function fix_pi_linker {
+  #$1 BINUTILS folder
+  if [ ! -f ${1}/ld.original ]; then
+    mv ${1}/ld ${1}/ld.original
+  fi
+  rm -f ${1}/ld
+  printf '#!/usr/bin/env bash\n'"${1}/ld.gold --long-plt \$*">${1}/ld
+  chmod +x ${1}/ld 
+}
+
+if [ ! -d ${CROSS_COMPILER_DIR}/folder ]; then
+	#out file
+	message "download CROSS_COMPILER"
+	${COMPILER_DOWNLOAD_CMD} ${CROSS_COMPILER_URL} ${CROSS_COMPILER_DIR}
+	message "rename top folder  (instead of --strip-components=1)"
+	rename_top_folder ${CROSS_COMPILER_DIR}
+fi
+
+CROSS_COMPILER_DIR=${CROSS_COMPILER_DIR}/folder
+
+if [ "${TARGET_OS}" = "android" ];then
+	ANDROID_TOOLCHAIN=${CROSS_COMPILER_DIR}/toolchains/llvm/prebuilt/linux-x86_64
+	COMPILER_PREFIX="${ANDROID_TOOLCHAIN}/bin/${PREFIX}${ANDROID_VERSION}"
+	TOOLCHAIN_PREFIX="${ANDROID_TOOLCHAIN}/bin/${PREFIX}"
+	if [ "$BLAS_TARGET_NAME" = "ARMV7" ];then
+	    BLAS_XTRA="ARM_SOFTFP_ABI=1 "
+		COMPILER_PREFIX="${ANDROID_TOOLCHAIN}/bin/armv7a-linux-androideabi${ANDROID_VERSION}"
+	fi
+	CC_EXE="clang"
+	CXX_EXE="clang++"
+	AR="${TOOLCHAIN_PREFIX}-ar"
+	RANLIB="${TOOLCHAIN_PREFIX}-ranlib"
+	BLAS_XTRA="CC=${COMPILER_PREFIX}-${CC_EXE} AR=${AR} RANLIB=${RANLIB} ${BLAS_XTRA}"
+else
+	BINUTILS_BIN=${CROSS_COMPILER_DIR}/${PREFIX}/bin
+	COMPILER_PREFIX=${CROSS_COMPILER_DIR}/bin/${PREFIX}
+	TOOLCHAIN_PREFIX=${COMPILER_PREFIX}
+	SYS_ROOT=${CROSS_COMPILER_DIR}/${PREFIX}/libc
+	#LD_LIBRARY_PATH=${CROSS_COMPILER_DIR}/lib:$LD_LIBRARY_PATH
+	CC_EXE="gcc"
+	CXX_EXE="g++"
+	RANLIB="${BINUTILS_BIN}/ranlib"
+	export LD="${BINUTILS_BIN}/ld"
+	AR="${BINUTILS_BIN}/ar"
+	BLAS_XTRA="CC=${COMPILER_PREFIX}-${CC_EXE} AR=${AR} RANLIB=${RANLIB}  CFLAGS=--sysroot=${SYS_ROOT} LDFLAGS=\"-L${SYS_ROOT}/../lib/ -lm\""
+fi
+
+check_requirements ${CC}
+
+if [ -z "${BUILD_USING_MAVEN}" ] ;then
+#lets build OpenBlas 
+if [ ! -d "${OPENBLAS_DIR}" ]; then
+	message "download OpenBLAS"
+	git_check "${OPENBLAS_GIT_URL}" "${OPENBLAS_DIR}" "v0.3.10"
+fi
+
+if [ ! -f "${THIRD_PARTY}/lib/libopenblas.so" ]; then
+	message "build and install OpenBLAS" 
+	cd ${OPENBLAS_DIR}
+
+	command="make TARGET=${BLAS_TARGET_NAME} HOSTCC=gcc  NOFORTRAN=1 ${BLAS_XTRA} "
+	message $command
+	eval $command  &>/dev/null
+    message "install it"
+	command="make TARGET=${BLAS_TARGET_NAME} PREFIX=${THIRD_PARTY} install &>/dev/null"
+	message $command
+	$command
+	cd $BASE_DIR
+
+fi
+check_requirements ${THIRD_PARTY}/lib/libopenblas.so
+
+export OPENBLAS_PATH=${THIRD_PARTY}
+
+fi # end if [ -z "${BUILD_USING_MAVEN}"];then
+
+if [ ! -d ${SCONS_LOCAL_DIR} ]; then
+	#out file
+	message "download Scons local"
+	download_extract ${SCONS_LOCAL_URL} ${SCONS_LOCAL_DIR}
+fi
+check_requirements ${SCONS_LOCAL_DIR}/scons.py
+
+if [ ! -d "${ARMCOMPUTE_DIR}" ]; then 
+	message "download ArmCompute Source" 
+	git_check ${ARMCOMPUTE_GIT_URL} "${ARMCOMPUTE_DIR}" "${ARMCOMPUTE_TAG}" 
+fi
+
+#build armcompute
+if [ ! -f "${ARMCOMPUTE_DIR}/build/libarm_compute-static.a" ]; then
+message "build arm compute"
+cd ${ARMCOMPUTE_DIR}
+command="CC=${CC_EXE} CXX=${CXX_EXE} python3 ${SCONS_LOCAL_DIR}/scons.py Werror=1 -j$(nproc) toolchain_prefix=${TOOLCHAIN_PREFIX}-  compiler_prefix=${COMPILER_PREFIX}- debug=${ARMCOMPUTE_DEBUG}  neon=1 opencl=0 extra_cxx_flags=-fPIC os=${TARGET_OS} build=cross_compile arch=${ARMCOMPUTE_TARGET} "
+message $command
+eval $command &>/dev/null
+cd ${BASE_DIR} 
+fi
+check_requirements "${ARMCOMPUTE_DIR}/build/libarm_compute-static.a" "${ARMCOMPUTE_DIR}/build/libarm_compute_core-static.a"
+
+export ARMCOMPUTE_ROOT="${ARMCOMPUTE_DIR}"
+
+if [ "${TARGET_OS}" = "android" ];then
+	export ANDROID_NDK=${CROSS_COMPILER_DIR}
+else
+    export RPI_BIN=${CROSS_COMPILER_DIR}/bin/${PREFIX}
+	export JAVA_LIBRARY_PATH=${CROSS_COMPILER_DIR}/${PREFIX}/lib
+	fix_pi_linker ${BINUTILS_BIN}
+fi
+
+
+#because of the toolchain passive detection we have to delete build folder manually
+detect=$(cat ${BASE_DIR}/blasbuild/cpu/CMakeCache.txt | grep -o ${PREFIX})
+if [ -z "${detect}" ] ;then
+message "remove blasbuild folder "
+rm -rf $BASE_DIR/blasbuild/
+else
+message "keep blasbuild folder"
+fi
+
+if [ -z "${BUILD_USING_MAVEN}" ] ;then
+message "lets build just library"
+DHELPER="  -h armcompute "
+bash ./buildnativeoperations.sh -o ${LIBND4J_PLATFORM} -t ${DHELPER} -j $(nproc)
+else
+message "cd $BASE_DIR/.. "
+cd $BASE_DIR/..
+message "lets build jars"
+DHELPER=" -Dlibnd4j.helper=armcompute "
+mvn  install  -Dlibnd4j.platform=${LIBND4J_PLATFORM} -Djavacpp.platform=${LIBND4J_PLATFORM} -DprotocCommand=protoc -Djavacpp.platform.compiler=${COMPILER_PREFIX}-${CC_EXE} -Djava.library.path=${JAVA_LIBRARY_PATH} ${DHELPER} -Dmaven.test.skip=true -Dmaven.javadoc.skip=true
+fi
diff --git a/libnd4j/pom.xml b/libnd4j/pom.xml
index 1819d8112..8c374f5c7 100644
--- a/libnd4j/pom.xml
+++ b/libnd4j/pom.xml
@@ -1,19 +1,23 @@
 
-
+
 
 The C++ engine that powers the scientific computing library ND4J - n-dimensional
         arrays for Java
     
-    http://nd4j.org/
 
-    
-        
-            agibsonccc
-            Adam Gibson
-            adam@skymind.io
-        
-        
-            raver119
-            raver119
-        
-        
-            saudet
-            Samuel Audet
-        
-    
 
     
         
diff --git a/libnd4j/proto.sh b/libnd4j/proto.sh
index 964a80b7d..b329d9a36 100644
--- a/libnd4j/proto.sh
+++ b/libnd4j/proto.sh
@@ -1,19 +1,23 @@
 #!/bin/bash
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 
 DIRS=""
diff --git a/libnd4j/server/GraphServer.cpp b/libnd4j/server/GraphServer.cpp
index b7615dd5c..d158d391a 100644
--- a/libnd4j/server/GraphServer.cpp
+++ b/libnd4j/server/GraphServer.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/server/GraphServer.h b/libnd4j/server/GraphServer.h
index 0dceacf25..c57319750 100644
--- a/libnd4j/server/GraphServer.h
+++ b/libnd4j/server/GraphServer.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/setuposx.sh b/libnd4j/setuposx.sh
index 1603babca..3a4ab30ae 100755
--- a/libnd4j/setuposx.sh
+++ b/libnd4j/setuposx.sh
@@ -1,21 +1,27 @@
 #!/usr/bin/env bash
 
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
-# setup gcc for openmp
+
+
+
 
 brew install gcc5
diff --git a/libnd4j/tests_cpu/layers_tests/AllTests.cpp b/libnd4j/tests_cpu/layers_tests/AllTests.cpp
index 669a5b1d0..f1328894a 100644
--- a/libnd4j/tests_cpu/layers_tests/AllTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/AllTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ArrayOptionsTests.cpp b/libnd4j/tests_cpu/layers_tests/ArrayOptionsTests.cpp
index 97893ca5b..1436d77c3 100644
--- a/libnd4j/tests_cpu/layers_tests/ArrayOptionsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ArrayOptionsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/AtomicTests.cu b/libnd4j/tests_cpu/layers_tests/AtomicTests.cu
index f8248e7ea..5c9c1aa1a 100644
--- a/libnd4j/tests_cpu/layers_tests/AtomicTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/AtomicTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/AttentionTests.cpp b/libnd4j/tests_cpu/layers_tests/AttentionTests.cpp
index ab6d50b53..74a7e5e6b 100644
--- a/libnd4j/tests_cpu/layers_tests/AttentionTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/AttentionTests.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/tests_cpu/layers_tests/BackpropTests.cpp b/libnd4j/tests_cpu/layers_tests/BackpropTests.cpp
index 5c528f072..09aa3e87b 100644
--- a/libnd4j/tests_cpu/layers_tests/BackpropTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/BackpropTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/BitwiseUtilsTests.cpp b/libnd4j/tests_cpu/layers_tests/BitwiseUtilsTests.cpp
index 4174637e2..8c9b0ddb5 100644
--- a/libnd4j/tests_cpu/layers_tests/BitwiseUtilsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/BitwiseUtilsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/BooleanOpsTests.cpp b/libnd4j/tests_cpu/layers_tests/BooleanOpsTests.cpp
index 199cb88eb..78354111b 100644
--- a/libnd4j/tests_cpu/layers_tests/BooleanOpsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/BooleanOpsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp b/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp
index 5a4db9fb8..85e41d33b 100644
--- a/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/BrodcastTests.cpp b/libnd4j/tests_cpu/layers_tests/BrodcastTests.cpp
index 34d0132bb..886de211d 100644
--- a/libnd4j/tests_cpu/layers_tests/BrodcastTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/BrodcastTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/CnpyTests.cpp b/libnd4j/tests_cpu/layers_tests/CnpyTests.cpp
index ea8025592..407de9e36 100644
--- a/libnd4j/tests_cpu/layers_tests/CnpyTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/CnpyTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ConditionalTests.cpp b/libnd4j/tests_cpu/layers_tests/ConditionalTests.cpp
index 5167abcd1..b4dfab6fc 100644
--- a/libnd4j/tests_cpu/layers_tests/ConditionalTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ConditionalTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ConstantShapeHelperTests.cpp b/libnd4j/tests_cpu/layers_tests/ConstantShapeHelperTests.cpp
index a9a42ac88..97083c52e 100644
--- a/libnd4j/tests_cpu/layers_tests/ConstantShapeHelperTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ConstantShapeHelperTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -240,4 +242,110 @@ TEST_F(ConstantShapeHelperTests, ShapeDescriptor_1) {
     ShapeDescriptor descr2(shapeInfo2);
 
     ASSERT_FALSE(descr1 == descr2);
-}
\ No newline at end of file
+}
+
+TEST_F(ConstantShapeHelperTests, ShapeDescriptor_validation) {
+
+    //for c order
+    std::vector shape{ 2,3,4,5 };
+    std::vector incorrectStride1{ 20,20,5,1 };
+    std::vector incorrectStride2{ 60,20,5,5 };
+    std::vector correctStride1{ 60,20,5,1 };
+    std::vector correctStride2{ 300,100,25,5 };
+    std::vector correctStride3{ 800, 200, 40, 5 }; 
+
+    auto shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, incorrectStride1, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_INCORRECT_STRIDES);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, correctStride1, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_OK);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, incorrectStride2, 1);
+    ASSERT_TRUE(shapeDesc.validate() == (SHAPE_DESC_INCORRECT_STRIDES | SHAPE_DESC_INCORRECT_EWS));
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, correctStride2, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_INCORRECT_EWS);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, correctStride2, 5);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_OK);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, correctStride3, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_INCORRECT_EWS);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'c', shape, correctStride3, 0);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_OK);
+
+    //order f
+    std::reverse(std::begin(shape), std::end(shape));
+    std::reverse(std::begin(incorrectStride1), std::end(incorrectStride1));
+    std::reverse(std::begin(incorrectStride2), std::end(incorrectStride2));
+    std::reverse(std::begin(correctStride1), std::end(correctStride1));
+    std::reverse(std::begin(correctStride2), std::end(correctStride2));
+    std::reverse(std::begin(correctStride3), std::end(correctStride3));
+
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, incorrectStride1, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_INCORRECT_STRIDES);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, correctStride1, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_OK);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, incorrectStride2, 1);
+    ASSERT_TRUE(shapeDesc.validate() == (SHAPE_DESC_INCORRECT_STRIDES | SHAPE_DESC_INCORRECT_EWS));
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, correctStride2, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_INCORRECT_EWS);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, correctStride2, 5);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_OK);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, correctStride3, 1);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_INCORRECT_EWS);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape, correctStride3, 0);
+    ASSERT_TRUE(shapeDesc.validate() == SHAPE_DESC_OK);
+
+    std::vector shape1;
+    shape1.resize(MAX_RANK+1);
+    shapeDesc = ShapeDescriptor(DataType::FLOAT32, 'f', shape1, correctStride3, 0);
+    ASSERT_TRUE( (shapeDesc.validate() & SHAPE_DESC_INCORRECT_RANK) == SHAPE_DESC_INCORRECT_RANK);
+
+}
+
+TEST_F(ConstantShapeHelperTests, ShapeDescriptor_paddedBuffer) {
+
+    constexpr int n = 2;
+    constexpr int c = 3;
+    constexpr int h = 4;
+    constexpr int w = 5;
+    constexpr int n_pad = 2;
+    constexpr int c_pad = 3;
+    constexpr int h_pad = 4;
+    constexpr int w_pad = 5;
+    char orders[] = { 'c', 'f' };
+
+    for (auto& order : orders) {
+        auto shapeDesc1 = ShapeDescriptor::paddedBufferDescriptor(DataType::FLOAT32, order, { n, c, h, w }, { n_pad, c_pad, h_pad, w_pad });
+        auto shapeDesc2 = ShapeDescriptor(DataType::FLOAT32, order, { n + n_pad, c + c_pad, h + h_pad, w + w_pad });
+        auto shapeDesc3 = ShapeDescriptor::paddedBufferDescriptor(DataType::FLOAT32, order, { n, c, h, w }, { n_pad, c_pad });
+        auto shapeDesc4 = ShapeDescriptor(DataType::FLOAT32, order, { n + n_pad, c + c_pad, h, w });
+        auto shapeDesc5 = ShapeDescriptor::paddedBufferDescriptor(DataType::FLOAT32, order, { n, c, h, w }, { 0, 0, h_pad, w_pad });
+        auto shapeDesc6 = ShapeDescriptor(DataType::FLOAT32, order, { n, c , h + h_pad, w + w_pad });
+
+        ASSERT_TRUE(shapeDesc1.validate() == SHAPE_DESC_OK);
+        ASSERT_TRUE(shapeDesc2.validate() == SHAPE_DESC_OK);
+        ASSERT_TRUE(shapeDesc3.validate() == SHAPE_DESC_OK);
+        ASSERT_TRUE(shapeDesc4.validate() == SHAPE_DESC_OK);
+        ASSERT_TRUE(shapeDesc5.validate() == SHAPE_DESC_OK);
+        ASSERT_TRUE(shapeDesc6.validate() == SHAPE_DESC_OK);
+
+        ASSERT_TRUE(shapeDesc1.allocLength() == shapeDesc2.allocLength());
+        ASSERT_TRUE(shapeDesc3.allocLength() == shapeDesc4.allocLength());
+        ASSERT_TRUE(shapeDesc5.allocLength() == shapeDesc6.allocLength());
+
+        const auto& v1 = shapeDesc1.strides();
+        const auto& v2 = shapeDesc2.strides();
+        const auto& v3 = shapeDesc3.strides();
+        const auto& v4 = shapeDesc4.strides();
+        const auto& v5 = shapeDesc5.strides();
+        const auto& v6 = shapeDesc6.strides();
+
+        for (int i = 0; i < v1.size(); i++) {
+            ASSERT_TRUE(v1[i] == v2[i]);
+        }
+        for (int i = 0; i < v3.size(); i++) {
+            ASSERT_TRUE(v3[i] == v4[i]);
+        }
+        for (int i = 0; i < v5.size(); i++) {
+            ASSERT_TRUE(v5[i] == v6[i]);
+        }
+	}
+
+}
diff --git a/libnd4j/tests_cpu/layers_tests/ContextTests.cpp b/libnd4j/tests_cpu/layers_tests/ContextTests.cpp
index 57d9ce88d..afbe62950 100644
--- a/libnd4j/tests_cpu/layers_tests/ContextTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ContextTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ConvolutionTests1.cpp b/libnd4j/tests_cpu/layers_tests/ConvolutionTests1.cpp
index 2e3a035a6..3cc8be96e 100644
--- a/libnd4j/tests_cpu/layers_tests/ConvolutionTests1.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ConvolutionTests1.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ConvolutionTests2.cpp b/libnd4j/tests_cpu/layers_tests/ConvolutionTests2.cpp
index 39277cd87..cd6eb4d70 100644
--- a/libnd4j/tests_cpu/layers_tests/ConvolutionTests2.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ConvolutionTests2.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/CuDnnTests.cu b/libnd4j/tests_cpu/layers_tests/CuDnnTests.cu
index 47892c973..a7d2f7838 100644
--- a/libnd4j/tests_cpu/layers_tests/CuDnnTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/CuDnnTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/CudaBasicsTests1.cu b/libnd4j/tests_cpu/layers_tests/CudaBasicsTests1.cu
index cb7806bd4..3a85f6eef 100644
--- a/libnd4j/tests_cpu/layers_tests/CudaBasicsTests1.cu
+++ b/libnd4j/tests_cpu/layers_tests/CudaBasicsTests1.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/CudaBasicsTests2.cu b/libnd4j/tests_cpu/layers_tests/CudaBasicsTests2.cu
index 28102cad5..bc95ce39b 100644
--- a/libnd4j/tests_cpu/layers_tests/CudaBasicsTests2.cu
+++ b/libnd4j/tests_cpu/layers_tests/CudaBasicsTests2.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/CudaExtraArgumentsTests.cu b/libnd4j/tests_cpu/layers_tests/CudaExtraArgumentsTests.cu
index 30d58946c..b1cce9fab 100644
--- a/libnd4j/tests_cpu/layers_tests/CudaExtraArgumentsTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/CudaExtraArgumentsTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/CudaLaunchHelperTests.cpp b/libnd4j/tests_cpu/layers_tests/CudaLaunchHelperTests.cpp
index 66cc024bf..97dc00b3a 100644
--- a/libnd4j/tests_cpu/layers_tests/CudaLaunchHelperTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/CudaLaunchHelperTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DataBufferTests.cpp b/libnd4j/tests_cpu/layers_tests/DataBufferTests.cpp
index b22f9e765..6e74ba7da 100644
--- a/libnd4j/tests_cpu/layers_tests/DataBufferTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DataBufferTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DataBufferTestsCuda.cu b/libnd4j/tests_cpu/layers_tests/DataBufferTestsCuda.cu
index 6f7d38ede..1368c30bd 100644
--- a/libnd4j/tests_cpu/layers_tests/DataBufferTestsCuda.cu
+++ b/libnd4j/tests_cpu/layers_tests/DataBufferTestsCuda.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DataTypesValidationTests.cpp b/libnd4j/tests_cpu/layers_tests/DataTypesValidationTests.cpp
index 83f3a15f5..c6fe48ca4 100644
--- a/libnd4j/tests_cpu/layers_tests/DataTypesValidationTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DataTypesValidationTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests1.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests1.cpp
index a5715fd01..99ceddd0c 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests1.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests1.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests10.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests10.cpp
index 2ffc2c22d..01403e968 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests10.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests10.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 //
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests11.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests11.cpp
index 97dcf7574..fca346a15 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests11.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests11.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests12.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests12.cpp
index 9e5281afe..be6a32ee1 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests12.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests12.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests13.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests13.cpp
index 639d90389..713548a0e 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests13.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests13.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 //
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests14.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests14.cpp
index ef35bfa72..47bd5af3b 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests14.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests14.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -2117,6 +2119,34 @@ TEST_F(DeclarableOpsTests14, Reshape2) {
     delete variableSpace;
 }
 
+TEST_F(DeclarableOpsTests14, Flatten2d1) {
+    auto x = NDArrayFactory::create('c', { 3, 4, 5 });
+    auto zAssertion = NDArrayFactory::create('c', { 3, 20 });
+
+    sd::ops::flatten_2d op;
+    auto result = op.evaluate({ &x }, {}, { 1 });
+
+    ASSERT_EQ(ND4J_STATUS_OK, result.status());
+
+    auto z = result.at(0);
+
+    ASSERT_TRUE(result.at(0)->isSameShape(zAssertion));
+}
+
+TEST_F(DeclarableOpsTests14, Flatten2d2) {
+    auto x = NDArrayFactory::create('c', { 2,3, 4, 5 });
+    auto zAssertion = NDArrayFactory::create('c', { 6, 20 });
+
+    sd::ops::flatten_2d op;
+    auto result = op.evaluate({ &x }, {}, { -2 });
+
+    ASSERT_EQ(ND4J_STATUS_OK, result.status());
+
+    auto z = result.at(0);
+
+    ASSERT_TRUE(result.at(0)->isSameShape(zAssertion));
+}
+
 TEST_F(DeclarableOpsTests14, Reshape3) {
     auto x = NDArrayFactory::create('c', { 3, 4, 5 });
 
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests15.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests15.cpp
index e01900e87..779d0ccf8 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests15.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests15.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests16.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests16.cpp
index cbec08c0c..dbdc87079 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests16.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests16.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
  //
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests17.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests17.cpp
index 1341312f8..be157ac40 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests17.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests17.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 //
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests18.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests18.cpp
index 1f36a8f2c..14d37cbf9 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests18.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests18.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
  //
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests19.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests19.cpp
index beccc1aae..0f2c73aa8 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests19.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests19.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 //
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests2.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests2.cpp
index f4847889b..74bce1ac1 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests2.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests2.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests3.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests3.cpp
index 81b869457..c4c90a586 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests3.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests3.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests4.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests4.cpp
index 56e5e213a..303f5f116 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests4.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests4.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -118,6 +120,35 @@ TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_3) {
 
 }
 
+//auto padding{top,right, bottom, left} matching arm_compute
+std::tuple getSpecialAutoPadding(int rank) {
+    auto extra_pad_x = rank < 1 ? 0 : 32;
+    auto pad_x = rank < 1 ? 0 : 4;
+    auto pad_y = rank < 2 ? 0 : 4;
+    return std::tuple{ pad_y, pad_x + extra_pad_x, pad_y, pad_x };
+}
+
+TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_padded_buffer) {
+
+    int top, right, bottom, left;
+    std::tie(top, right, bottom, left) = getSpecialAutoPadding(4);
+
+    auto input = NDArrayFactory::create('c', {2, 5, 5, 2}, DataTypeUtils::fromT(), {0, 0, top + bottom, left + right}, {0, 0, top, left} );
+    auto output = NDArrayFactory::create('c', {2, 3, 3, 2}, DataTypeUtils::fromT(), {0, 0, top + bottom, left + right}, {0, 0, top, left} ); 
+    auto exp = NDArrayFactory::create('c', {2, 3, 3, 2}, {7.f,    8.f,   11.f,   12.f,   14.f,   15.f,   27.f,   28.f,   31.f,   32.f,   34.f,   35.f, 42.f,   43.f,   46.f,   47.f,   49.f,   50.f,   57.f,   58.f,   61.f,   62.f,   64.f,   65.f, 77.f,   78.f,   81.f,   82.f,   84.f,   85.f,   92.f,   93.f,   96.f,   97.f,   99.f,  100.f,});
+
+    input.linspace(1);
+
+    sd::ops::avgpool2d op;
+    auto status = op.execute({&input}, {&output}, {}, {2, 2, 2, 2, 0, 0, 1, 1, 1, 0, 1});
+
+    ASSERT_EQ(Status::OK(), status);
+    ASSERT_TRUE(exp.isSameShape(output));
+    ASSERT_TRUE(exp.equalsTo(output));
+
+}
+
+
 //////////////////////////////////////////////////////////////////////
 TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_4) {
     auto x = NDArrayFactory::create('c', {2, 5, 5, 2});
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests5.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests5.cpp
index c68392da1..0dbbe5490 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests5.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests5.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests6.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests6.cpp
index ed9dbee68..075e2372b 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests6.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests6.cpp
@@ -1,13 +1,15 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either expres or implied. See the
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
  * License for the specific language governing permissions and limitations
  * under the License.
  *
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests7.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests7.cpp
index d8478e471..a78165686 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests7.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests7.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests8.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests8.cpp
index 0ca5e210a..30d2408ff 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests8.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests8.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests9.cpp b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests9.cpp
index f2bd393e4..9a59a0bfe 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests9.cpp
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests9.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTestsCuda1.cu b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTestsCuda1.cu
index 4f69da61b..db8da9e61 100644
--- a/libnd4j/tests_cpu/layers_tests/DeclarableOpsTestsCuda1.cu
+++ b/libnd4j/tests_cpu/layers_tests/DeclarableOpsTestsCuda1.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/EmptyTests.cpp b/libnd4j/tests_cpu/layers_tests/EmptyTests.cpp
index c142fb9aa..28c060757 100644
--- a/libnd4j/tests_cpu/layers_tests/EmptyTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/EmptyTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ExtraArgumentsTests.cpp b/libnd4j/tests_cpu/layers_tests/ExtraArgumentsTests.cpp
index aa4a72f70..fdcecf4a4 100644
--- a/libnd4j/tests_cpu/layers_tests/ExtraArgumentsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ExtraArgumentsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/FlatBuffersTests.cpp b/libnd4j/tests_cpu/layers_tests/FlatBuffersTests.cpp
index 437edb525..816ec3f92 100644
--- a/libnd4j/tests_cpu/layers_tests/FlatBuffersTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/FlatBuffersTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/FlatUtilsTests.cpp b/libnd4j/tests_cpu/layers_tests/FlatUtilsTests.cpp
index f31a1c7ec..327a4e3c3 100644
--- a/libnd4j/tests_cpu/layers_tests/FlatUtilsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/FlatUtilsTests.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/tests_cpu/layers_tests/GraphExecutionerTests.cpp b/libnd4j/tests_cpu/layers_tests/GraphExecutionerTests.cpp
index 7a2856dc0..6de134010 100644
--- a/libnd4j/tests_cpu/layers_tests/GraphExecutionerTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/GraphExecutionerTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/GraphHolderTests.cpp b/libnd4j/tests_cpu/layers_tests/GraphHolderTests.cpp
index a50091840..61058095f 100644
--- a/libnd4j/tests_cpu/layers_tests/GraphHolderTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/GraphHolderTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/GraphRandomGeneratorTests.cpp b/libnd4j/tests_cpu/layers_tests/GraphRandomGeneratorTests.cpp
index 8fe46cd2f..0cc1c0114 100644
--- a/libnd4j/tests_cpu/layers_tests/GraphRandomGeneratorTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/GraphRandomGeneratorTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/GraphStateTests.cpp b/libnd4j/tests_cpu/layers_tests/GraphStateTests.cpp
index 16c1ed623..eabe9d965 100644
--- a/libnd4j/tests_cpu/layers_tests/GraphStateTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/GraphStateTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/GraphTests.cpp b/libnd4j/tests_cpu/layers_tests/GraphTests.cpp
index 6d21b00f2..d2c82f219 100644
--- a/libnd4j/tests_cpu/layers_tests/GraphTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/GraphTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/HashUtilsTests.cpp b/libnd4j/tests_cpu/layers_tests/HashUtilsTests.cpp
index 431a4bc14..bbd7b9ed4 100644
--- a/libnd4j/tests_cpu/layers_tests/HashUtilsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/HashUtilsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/HelpersTests1.cpp b/libnd4j/tests_cpu/layers_tests/HelpersTests1.cpp
index fae8c4918..e8be972ee 100644
--- a/libnd4j/tests_cpu/layers_tests/HelpersTests1.cpp
+++ b/libnd4j/tests_cpu/layers_tests/HelpersTests1.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 #include "testlayers.h"
 #include 
diff --git a/libnd4j/tests_cpu/layers_tests/HelpersTests2.cpp b/libnd4j/tests_cpu/layers_tests/HelpersTests2.cpp
index 8a0cc28bf..110617937 100644
--- a/libnd4j/tests_cpu/layers_tests/HelpersTests2.cpp
+++ b/libnd4j/tests_cpu/layers_tests/HelpersTests2.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 #include "testlayers.h"
 #include 
diff --git a/libnd4j/tests_cpu/layers_tests/IndexingTests.cpp b/libnd4j/tests_cpu/layers_tests/IndexingTests.cpp
index dbe7ccd0a..922827b7f 100644
--- a/libnd4j/tests_cpu/layers_tests/IndexingTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/IndexingTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/JavaInteropCudaTests.cu b/libnd4j/tests_cpu/layers_tests/JavaInteropCudaTests.cu
index aa2c13eb5..a8e3509bc 100644
--- a/libnd4j/tests_cpu/layers_tests/JavaInteropCudaTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/JavaInteropCudaTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/JavaInteropTests.cpp b/libnd4j/tests_cpu/layers_tests/JavaInteropTests.cpp
index 23080161a..4c2b5a971 100644
--- a/libnd4j/tests_cpu/layers_tests/JavaInteropTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/JavaInteropTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/LambdaTests.cu b/libnd4j/tests_cpu/layers_tests/LambdaTests.cu
index a114f7179..743e6cff2 100644
--- a/libnd4j/tests_cpu/layers_tests/LambdaTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/LambdaTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/LaunchContextCudaTests.cu b/libnd4j/tests_cpu/layers_tests/LaunchContextCudaTests.cu
index e16df80e6..8c7142623 100644
--- a/libnd4j/tests_cpu/layers_tests/LaunchContextCudaTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/LaunchContextCudaTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/LegacyOpsCudaTests.cu b/libnd4j/tests_cpu/layers_tests/LegacyOpsCudaTests.cu
index 922d94afd..41aaf279a 100644
--- a/libnd4j/tests_cpu/layers_tests/LegacyOpsCudaTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/LegacyOpsCudaTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/LegacyOpsTests.cpp b/libnd4j/tests_cpu/layers_tests/LegacyOpsTests.cpp
index 385e042f8..7b338cad2 100644
--- a/libnd4j/tests_cpu/layers_tests/LegacyOpsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/LegacyOpsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ListOperationsTests.cpp b/libnd4j/tests_cpu/layers_tests/ListOperationsTests.cpp
index 04e4a70e8..36b4c016e 100644
--- a/libnd4j/tests_cpu/layers_tests/ListOperationsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ListOperationsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/LoopCoordsHelperTests.cpp b/libnd4j/tests_cpu/layers_tests/LoopCoordsHelperTests.cpp
index 976e89550..7e2da69b2 100644
--- a/libnd4j/tests_cpu/layers_tests/LoopCoordsHelperTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/LoopCoordsHelperTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/MemoryUtilsTests.cpp b/libnd4j/tests_cpu/layers_tests/MemoryUtilsTests.cpp
index 4bfe40405..a8514e5ad 100644
--- a/libnd4j/tests_cpu/layers_tests/MemoryUtilsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/MemoryUtilsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/MklDnnTests.cpp b/libnd4j/tests_cpu/layers_tests/MklDnnTests.cpp
index c91c1c5c7..d2616e946 100644
--- a/libnd4j/tests_cpu/layers_tests/MklDnnTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/MklDnnTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/MmapTests.cpp b/libnd4j/tests_cpu/layers_tests/MmapTests.cpp
index 7200dc034..8e747a23e 100644
--- a/libnd4j/tests_cpu/layers_tests/MmapTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/MmapTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/MultiDataTypeTests.cpp b/libnd4j/tests_cpu/layers_tests/MultiDataTypeTests.cpp
index 79f2ffa1e..2e780bdb0 100644
--- a/libnd4j/tests_cpu/layers_tests/MultiDataTypeTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/MultiDataTypeTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/MultiDeviceTests.cpp b/libnd4j/tests_cpu/layers_tests/MultiDeviceTests.cpp
index 1c12f2d72..3ea90eb27 100644
--- a/libnd4j/tests_cpu/layers_tests/MultiDeviceTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/MultiDeviceTests.cpp
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/tests_cpu/layers_tests/NDArrayConstructorsTests.cu b/libnd4j/tests_cpu/layers_tests/NDArrayConstructorsTests.cu
index 24ac087d1..1a3e07a9a 100644
--- a/libnd4j/tests_cpu/layers_tests/NDArrayConstructorsTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/NDArrayConstructorsTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NDArrayCudaBasicsTests.cu b/libnd4j/tests_cpu/layers_tests/NDArrayCudaBasicsTests.cu
index 01510dc91..935294fd6 100644
--- a/libnd4j/tests_cpu/layers_tests/NDArrayCudaBasicsTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/NDArrayCudaBasicsTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NDArrayListTests.cpp b/libnd4j/tests_cpu/layers_tests/NDArrayListTests.cpp
index 2de3e4651..14ffedb71 100644
--- a/libnd4j/tests_cpu/layers_tests/NDArrayListTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/NDArrayListTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NDArrayTests.cpp b/libnd4j/tests_cpu/layers_tests/NDArrayTests.cpp
index 807de9fed..46d8e2311 100644
--- a/libnd4j/tests_cpu/layers_tests/NDArrayTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/NDArrayTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NDArrayTests2.cpp b/libnd4j/tests_cpu/layers_tests/NDArrayTests2.cpp
index 4dd4c3abe..18a8aeac5 100644
--- a/libnd4j/tests_cpu/layers_tests/NDArrayTests2.cpp
+++ b/libnd4j/tests_cpu/layers_tests/NDArrayTests2.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NativeOpsTests.cpp b/libnd4j/tests_cpu/layers_tests/NativeOpsTests.cpp
index 2f87b5099..29c56c727 100644
--- a/libnd4j/tests_cpu/layers_tests/NativeOpsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/NativeOpsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NlpTests.cpp b/libnd4j/tests_cpu/layers_tests/NlpTests.cpp
index 2325e2445..14a20b99d 100644
--- a/libnd4j/tests_cpu/layers_tests/NlpTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/NlpTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/NodeTests.cpp b/libnd4j/tests_cpu/layers_tests/NodeTests.cpp
index 8f4a8ae70..f67781e4f 100644
--- a/libnd4j/tests_cpu/layers_tests/NodeTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/NodeTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/OmpLaunchHelperTests.cpp b/libnd4j/tests_cpu/layers_tests/OmpLaunchHelperTests.cpp
index af327d653..9d9c87b61 100644
--- a/libnd4j/tests_cpu/layers_tests/OmpLaunchHelperTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/OmpLaunchHelperTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/OneOffTests.cpp b/libnd4j/tests_cpu/layers_tests/OneOffTests.cpp
index e1cf4ec52..53a7ba101 100644
--- a/libnd4j/tests_cpu/layers_tests/OneOffTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/OneOffTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/OpTrackerTests.cpp b/libnd4j/tests_cpu/layers_tests/OpTrackerTests.cpp
index a14971ad5..6d562d393 100644
--- a/libnd4j/tests_cpu/layers_tests/OpTrackerTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/OpTrackerTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/OpTupleTests.cpp b/libnd4j/tests_cpu/layers_tests/OpTupleTests.cpp
index bec75f056..e52701ee2 100644
--- a/libnd4j/tests_cpu/layers_tests/OpTupleTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/OpTupleTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/PairwiseTests.cpp b/libnd4j/tests_cpu/layers_tests/PairwiseTests.cpp
index 0d73b369b..59c83bdd8 100644
--- a/libnd4j/tests_cpu/layers_tests/PairwiseTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/PairwiseTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ParityOpsTests.cpp b/libnd4j/tests_cpu/layers_tests/ParityOpsTests.cpp
index 089b4a92f..2feba9d63 100644
--- a/libnd4j/tests_cpu/layers_tests/ParityOpsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ParityOpsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/PerformanceTests.cpp b/libnd4j/tests_cpu/layers_tests/PerformanceTests.cpp
index c6155eb0c..48e32d701 100644
--- a/libnd4j/tests_cpu/layers_tests/PerformanceTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/PerformanceTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/PlaygroundTests.cpp b/libnd4j/tests_cpu/layers_tests/PlaygroundTests.cpp
index b55f971d4..f476fb05a 100644
--- a/libnd4j/tests_cpu/layers_tests/PlaygroundTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/PlaygroundTests.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // Created by raver119 on 20.11.17.
@@ -49,7 +52,7 @@
 #include 
 #include 
 #include 
-
+#include 
 using namespace sd;
 using namespace sd::graph;
 
@@ -66,6 +69,9 @@ TEST_F(PlaygroundTests, test_avx) {
     nd4j_printf("Optimal level: %i; Binary level: %i;\n", ::optimalLevel(), ::binaryLevel());
 }
 
+TEST_F(PlaygroundTests, buildver) {
+    nd4j_printf("%s\n", buildInfo());
+}
 
 TEST_F(PlaygroundTests, test_biasAdd_1) {
     auto x = NDArrayFactory::create('c', {512, 3072});
diff --git a/libnd4j/tests_cpu/layers_tests/PrimitivesTests.cpp b/libnd4j/tests_cpu/layers_tests/PrimitivesTests.cpp
index f131a1520..e8fa8d314 100644
--- a/libnd4j/tests_cpu/layers_tests/PrimitivesTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/PrimitivesTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ProtoBufTests.cpp b/libnd4j/tests_cpu/layers_tests/ProtoBufTests.cpp
index fe2f97bb6..c2c147a9d 100644
--- a/libnd4j/tests_cpu/layers_tests/ProtoBufTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ProtoBufTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/QuantizationTests.cpp b/libnd4j/tests_cpu/layers_tests/QuantizationTests.cpp
index 97f6cd8cd..a44a2053a 100644
--- a/libnd4j/tests_cpu/layers_tests/QuantizationTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/QuantizationTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/RNGTests.cpp b/libnd4j/tests_cpu/layers_tests/RNGTests.cpp
index dfc23f559..8da3542f6 100644
--- a/libnd4j/tests_cpu/layers_tests/RNGTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/RNGTests.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 //  @author raver119@gmail.com
diff --git a/libnd4j/tests_cpu/layers_tests/ResultSetTests.cpp b/libnd4j/tests_cpu/layers_tests/ResultSetTests.cpp
index 4ca8a3806..3e9753dc0 100644
--- a/libnd4j/tests_cpu/layers_tests/ResultSetTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ResultSetTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/SanityTests.cpp b/libnd4j/tests_cpu/layers_tests/SanityTests.cpp
index 7ca6732fe..fffb49854 100644
--- a/libnd4j/tests_cpu/layers_tests/SanityTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/SanityTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ScalarTests.cpp b/libnd4j/tests_cpu/layers_tests/ScalarTests.cpp
index 937ca4675..e75d2acba 100644
--- a/libnd4j/tests_cpu/layers_tests/ScalarTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ScalarTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ScopeTests.cpp b/libnd4j/tests_cpu/layers_tests/ScopeTests.cpp
index 6c83e869e..64a892387 100644
--- a/libnd4j/tests_cpu/layers_tests/ScopeTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ScopeTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ServerRelatedTests.cpp b/libnd4j/tests_cpu/layers_tests/ServerRelatedTests.cpp
index 50c1f4b19..7b5f7d3c3 100644
--- a/libnd4j/tests_cpu/layers_tests/ServerRelatedTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ServerRelatedTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ShapeTests.cpp b/libnd4j/tests_cpu/layers_tests/ShapeTests.cpp
index 46edc50d8..d09c99616 100644
--- a/libnd4j/tests_cpu/layers_tests/ShapeTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ShapeTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ShapeTests2.cpp b/libnd4j/tests_cpu/layers_tests/ShapeTests2.cpp
index b84213342..415c24898 100644
--- a/libnd4j/tests_cpu/layers_tests/ShapeTests2.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ShapeTests2.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ShapeUtilsTests.cpp b/libnd4j/tests_cpu/layers_tests/ShapeUtilsTests.cpp
index 25f4f2c18..58d4dd4cb 100644
--- a/libnd4j/tests_cpu/layers_tests/ShapeUtilsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ShapeUtilsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/SingleDimTests.cpp b/libnd4j/tests_cpu/layers_tests/SingleDimTests.cpp
index cc13f3529..23931dee4 100644
--- a/libnd4j/tests_cpu/layers_tests/SingleDimTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/SingleDimTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/SortCpuTests.cpp b/libnd4j/tests_cpu/layers_tests/SortCpuTests.cpp
index a31547561..3f21a7e79 100644
--- a/libnd4j/tests_cpu/layers_tests/SortCpuTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/SortCpuTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/SortCudaTests.cu b/libnd4j/tests_cpu/layers_tests/SortCudaTests.cu
index 5a5e75b1b..7525e2597 100644
--- a/libnd4j/tests_cpu/layers_tests/SortCudaTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/SortCudaTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/SparseUtilsTest.cpp b/libnd4j/tests_cpu/layers_tests/SparseUtilsTest.cpp
index c6b2c0a54..f83e61eb3 100644
--- a/libnd4j/tests_cpu/layers_tests/SparseUtilsTest.cpp
+++ b/libnd4j/tests_cpu/layers_tests/SparseUtilsTest.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/StashTests.cpp b/libnd4j/tests_cpu/layers_tests/StashTests.cpp
index 2cba6682d..fd479bd4e 100644
--- a/libnd4j/tests_cpu/layers_tests/StashTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/StashTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/StringTests.cpp b/libnd4j/tests_cpu/layers_tests/StringTests.cpp
index 41352246e..156831456 100644
--- a/libnd4j/tests_cpu/layers_tests/StringTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/StringTests.cpp
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 //
 // @author raver119@gmail.com
diff --git a/libnd4j/tests_cpu/layers_tests/SwitchTests.cpp b/libnd4j/tests_cpu/layers_tests/SwitchTests.cpp
index 8d6a8d180..41881e323 100644
--- a/libnd4j/tests_cpu/layers_tests/SwitchTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/SwitchTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/TadTests.cpp b/libnd4j/tests_cpu/layers_tests/TadTests.cpp
index 947927bfb..e7a0538a4 100644
--- a/libnd4j/tests_cpu/layers_tests/TadTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/TadTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/ThreadsTests.cpp b/libnd4j/tests_cpu/layers_tests/ThreadsTests.cpp
index 71957bc59..e9965b077 100644
--- a/libnd4j/tests_cpu/layers_tests/ThreadsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/ThreadsTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/TypeCastTests.cpp b/libnd4j/tests_cpu/layers_tests/TypeCastTests.cpp
index 2c27f95f9..351d64482 100644
--- a/libnd4j/tests_cpu/layers_tests/TypeCastTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/TypeCastTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/VariableProxyTests.cpp b/libnd4j/tests_cpu/layers_tests/VariableProxyTests.cpp
index 16e7cf7ac..9cc433a04 100644
--- a/libnd4j/tests_cpu/layers_tests/VariableProxyTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/VariableProxyTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/VariableSpaceTests.cpp b/libnd4j/tests_cpu/layers_tests/VariableSpaceTests.cpp
index ec10f3db0..da686c207 100644
--- a/libnd4j/tests_cpu/layers_tests/VariableSpaceTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/VariableSpaceTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/VariableTests.cpp b/libnd4j/tests_cpu/layers_tests/VariableTests.cpp
index 49b9b02d6..bf7c3f162 100644
--- a/libnd4j/tests_cpu/layers_tests/VariableTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/VariableTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cpp b/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cpp
index b291e5fbb..4703cab3a 100644
--- a/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cpp
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cu b/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cu
index 6fe157ac8..4d4538dae 100644
--- a/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cu
+++ b/libnd4j/tests_cpu/layers_tests/WorkspaceTests.cu
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/testinclude.h b/libnd4j/tests_cpu/layers_tests/testinclude.h
index b266019a9..f792cd835 100644
--- a/libnd4j/tests_cpu/layers_tests/testinclude.h
+++ b/libnd4j/tests_cpu/layers_tests/testinclude.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/layers_tests/testlayers.h b/libnd4j/tests_cpu/layers_tests/testlayers.h
index 9106223d8..fb8032df8 100644
--- a/libnd4j/tests_cpu/layers_tests/testlayers.h
+++ b/libnd4j/tests_cpu/layers_tests/testlayers.h
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/libnd4j/tests_cpu/libnd4j_tests/CMakeLists.txt b/libnd4j/tests_cpu/libnd4j_tests/CMakeLists.txt
index bbd632d27..f9a81567d 100644
--- a/libnd4j/tests_cpu/libnd4j_tests/CMakeLists.txt
+++ b/libnd4j/tests_cpu/libnd4j_tests/CMakeLists.txt
@@ -53,8 +53,6 @@ if (${HELPERS_armcompute})
     set(HAVE_ARMCOMPUTE 1)
     # Add preprocessor definition for ARM Compute NEON
     add_definitions(-DARMCOMPUTENEON_ENABLED)
-    #build our library with neon support
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon")
     include_directories(${ARMCOMPUTE_INCLUDE})
  endif()
 
diff --git a/libnd4j/tests_cpu/run_minifier.sh b/libnd4j/tests_cpu/run_minifier.sh
index b7fdf99ea..42c68dd76 100755
--- a/libnd4j/tests_cpu/run_minifier.sh
+++ b/libnd4j/tests_cpu/run_minifier.sh
@@ -1,24 +1,29 @@
 #!/bin/bash
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
-# script for running and manual testing of the minifier
-# by GS 
 
-# only for special use
+
+
+
+
 
 CXX=/usr/bin/g++
 #CXX_PATH=`$CXX --print-search-dirs | awk '/install/{print $2;}'`
diff --git a/libnd4j/tests_cpu/run_tests.sh b/libnd4j/tests_cpu/run_tests.sh
index 8f412dee5..c06a99e0a 100755
--- a/libnd4j/tests_cpu/run_tests.sh
+++ b/libnd4j/tests_cpu/run_tests.sh
@@ -1,20 +1,24 @@
 #!/usr/bin/env bash
 
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 set -exo pipefail
 
diff --git a/nd4j/buildmultiplescalaversions.sh b/nd4j/buildmultiplescalaversions.sh
index bd98b3692..e2c4883c7 100755
--- a/nd4j/buildmultiplescalaversions.sh
+++ b/nd4j/buildmultiplescalaversions.sh
@@ -1,19 +1,23 @@
 #! /bin/bash
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 BASEDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/pom.xml b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/pom.xml
index 9a42f6bd0..d3d707ab5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/pom.xml
@@ -1,44 +1,137 @@
-
+
+
+
+
 
-
-    
-        nd4j-api-parent
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j-api-parent
+        1.0.0-SNAPSHOT
+    
+
     nd4j-api
-    1.0.0-SNAPSHOT
-    jar
 
     nd4j-api
-    https://deeplearning4j.org
+
+    
+        1.8
+        1.8
+        0.9.1
+        1.0.0
+    
+
+    
+        
+            com.jakewharton.byteunits
+            byteunits
+            ${byteunits.version}
+        
+        
+            org.apache.commons
+            commons-math3
+            ${commons-math3.version}
+        
+        
+            org.apache.commons
+            commons-lang3
+            ${commons-lang3.version}
+        
+        
+            org.apache.commons
+            commons-collections4
+            ${commons-collections4.version}
+        
+        
+        
+            com.google.flatbuffers
+            flatbuffers-java
+            ${flatbuffers.version}
+        
+        
+        
+            org.nd4j
+            protobuf
+            ${project.version}
+        
+        
+        
+            com.github.oshi
+            oshi-core
+            ${oshi.version}
+        
+        
+            org.slf4j
+            slf4j-api
+        
+        
+        
+            org.nd4j
+            jackson
+            ${project.version}
+        
+        
+            commons-net
+            commons-net
+            ${commons-net.version}
+        
+        
+            net.ericaro
+            neoitertools
+            ${neoitertools.version}
+            
+                
+                    junit
+                    junit
+                
+            
+        
+        
+            org.nd4j
+            nd4j-common
+            ${project.version}
+        
+        
+            ch.qos.logback
+            logback-classic
+        
+        
+            ch.qos.logback
+            logback-core
+        
+    
 
     
         
-
             
             
             
                 org.apache.maven.plugins
                 maven-antrun-plugin
-                1.8
+                ${maven-antrun-plugin.version}
                 
                     
                         generate-sources
@@ -47,19 +140,21 @@
                         
                         
                             
-                                
-                                
-                                
+                                
+                                
+                                
                             
                         
                     
                 
             
-
             
                 com.github.os72
                 protoc-jar-maven-plugin
-                3.8.0
+                ${protoc-jar-maven-plugin.version}
                 
                     
                         tensorflow
@@ -68,15 +163,17 @@
                             run
                         
                         
-                            3.8.0
+                            ${protoc-jar-maven-plugin.version}
                             .proto
                             
                                 src/main/protobuf/tf
                                 src/main/protobuf/onnx
+                                src/main/protobuf/nd4j
                             
                             
                                 src/main/protobuf/tf/tensorflow
                                 src/main/protobuf/onnx
+                                src/main/protobuf/nd4j
                             
                             main
                             false
@@ -85,16 +182,16 @@
                     
                 
             
-
             
                 com.google.code.maven-replacer-plugin
                 replacer
-                1.5.3
+                ${maven-replacer-plugin.version}
                 
                     
                         ${project.build.sourceDirectory}/org/tensorflow/**
                         ${project.build.sourceDirectory}/tensorflow/**
                         ${project.build.sourceDirectory}/onnx/**
+                        ${project.build.sourceDirectory}/org/nd4j/ir/**
                     
                     com.google.protobuf.
                     org.nd4j.shade.protobuf.
@@ -109,19 +206,10 @@
                     
                 
             
-
-
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    1.7
-                    1.7
-                
-            
             
                 org.apache.maven.plugins
                 maven-jar-plugin
+                3.2.0
                 
                     
                         
@@ -142,104 +230,6 @@
         
     
 
-    
-        UTF-8
-    
-
-    
-        
-            
-                ch.qos.logback
-                logback-classic
-                ${logback.version}
-            
-            
-                ch.qos.logback
-                logback-core
-                ${logback.version}
-            
-
-        
-    
-
-
-    
-        
-          com.jakewharton.byteunits
-          byteunits
-          0.9.1
-        
-
-        
-            org.apache.commons
-            commons-math3
-            ${commons-math3.version}
-        
-        
-
-        
-            com.google.flatbuffers
-            flatbuffers-java
-            ${flatbuffers.version}
-        
-
-        
-        
-            org.nd4j
-            protobuf
-            ${project.version}
-        
-
-
-
-        
-        
-            com.github.oshi
-            oshi-core
-            ${oshi.version}
-        
-
-        
-            org.slf4j
-            slf4j-api
-        
-
-
-        
-        
-            org.nd4j
-            jackson
-            ${project.version}
-        
-        
-            commons-net
-            commons-net
-            ${commons-net.version}
-        
-        
-            net.ericaro
-            neoitertools
-            1.0.0
-            
-                
-                    junit
-                    junit
-                
-            
-        
-        
-            org.nd4j
-            nd4j-common
-            ${project.version}
-        
-        
-            org.bytedeco
-            javacpp
-            ${javacpp.version}
-        
-    
-
     
         
             testresources
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/TFGraphRunnerService.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/TFGraphRunnerService.java
index 0aa1b6398..22708e79b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/TFGraphRunnerService.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/TFGraphRunnerService.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InferenceAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InferenceAdapter.java
index 671ef613d..602d2d661 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InferenceAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InferenceAdapter.java
@@ -1,28 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.adapters;
 
-/**
- * This interface describes methods needed to convert custom JVM objects to INDArrays, suitable for feeding neural networks
- *
- * @param  type of the Input for the model. I.e. String for raw text
- * @param  type of the Output for the model, I.e. Sentiment, for Text->Sentiment extraction
- *
- * @author raver119@gmail.com
- */
 public interface InferenceAdapter extends InputAdapter, OutputAdapter {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InputAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InputAdapter.java
index 09ca4eaa6..b6db11eb3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InputAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/InputAdapter.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.adapters;
 
 import org.nd4j.linalg.dataset.MultiDataSet;
 
-/**
- * This interface describes method for transformation from object of type I to MultiDataSet.
- *
- */
 public interface InputAdapter {
     /**
      * This method converts input object to MultiDataSet
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/OutputAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/OutputAdapter.java
index ba1ff40d4..0ce841718 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/OutputAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/adapters/OutputAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.adapters;
 
@@ -20,16 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * This interface describes entity used to convert neural network output to specified class.
- * I.e. INDArray -> int[] or INDArray -> Sentiment on the fly
- *
- * PLEASE NOTE: Implementation will be used in workspace environment to avoid additional allocations during inference.
- * This means you shouldn't store or return the INDArrays passed to OutputAdapter.apply(INDArray...) directly.
- * If you need a copy of the output array, use standard network output methods, or use INDArray.detach() before storing the array
- *
- * @param 
- */
 public interface OutputAdapter extends Serializable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/BasicGraphExecutioner.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/BasicGraphExecutioner.java
index c9cd5e80d..72d1ef00e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/BasicGraphExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/BasicGraphExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution;
 
@@ -25,9 +29,6 @@ import java.io.File;
 import java.nio.ByteBuffer;
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 public class BasicGraphExecutioner implements GraphExecutioner {
     /**
      * This method returns Type of this executioner
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/GraphExecutioner.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/GraphExecutioner.java
index b001bf31c..39901a499 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/GraphExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/GraphExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution;
 
@@ -25,10 +29,6 @@ import java.io.File;
 import java.nio.ByteBuffer;
 import java.util.Map;
 
-/**
- * This interface
- * @author raver119@gmail.com
- */
 public interface GraphExecutioner {
     enum Type {
         /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/Node.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/Node.java
index 1e99b5643..ceb7e7e4c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/Node.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/Node.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution;
 
@@ -24,11 +28,6 @@ import lombok.extern.slf4j.Slf4j;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Intermediate Node representation
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutionMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutionMode.java
index 70f63a1b5..203e731aa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutionMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutionMode.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution.conf;
 
-/**
- * @author raver119@gmail.com
- */
 public enum ExecutionMode {
     /**
      * all operations will be executed sequentially
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutorConfiguration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutorConfiguration.java
index 5cf3dfb1d..6672075a1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutorConfiguration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/ExecutorConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution.conf;
 
@@ -27,10 +31,6 @@ import org.nd4j.graph.FlatConfiguration;
 import org.nd4j.graph.ProfilingMode;
 import org.nd4j.linalg.api.ops.executioner.OpExecutioner;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/OutputMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/OutputMode.java
index 61382d96d..bb02e34ef 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/OutputMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/conf/OutputMode.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution.conf;
 
-/**
- * @author raver119@gmail.com
- */
 public enum OutputMode {
     /**
      * only final nodes of graph will be returned
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/Operands.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/Operands.java
index 7022cfb0b..0bf569f6d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/Operands.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/Operands.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution.input;
 
@@ -22,10 +26,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- *  This class
- * @author raver119@gmail.com
- */
 public class Operands {
     private Map map = new LinkedHashMap<>();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/OperandsAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/OperandsAdapter.java
index aa2c129ef..ddb498ff2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/OperandsAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/execution/input/OperandsAdapter.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution.input;
 
-/**
- * This interface describes adapter that wraps Operands for custom datatypes.
- * I.e. Image in and class as integer value as output
- *
- * @author raver119@gmail.com
- */
 public interface OperandsAdapter {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/functions/DifferentialFunction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/functions/DifferentialFunction.java
index f4f2d6c6b..e7e134963 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/functions/DifferentialFunction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/functions/DifferentialFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.functions;
 
@@ -77,13 +81,18 @@ public abstract class DifferentialFunction {
     @Getter
     @Setter
     @JsonIgnore
-    private String ownName;
+    protected String ownName;
+
+    @JsonIgnore
+    @Getter
+    @Setter
+    protected boolean ownNameSetWithDefault = false;
 
     public DifferentialFunction() {
         this(true);
     }
 
-    public DifferentialFunction(boolean sameDiff){
+    public DifferentialFunction(boolean sameDiff) {
         //Only need instance ID if using function in context of SameDiff, not standard ND4J with INDArray args
         if(sameDiff)
             setInstanceId();
@@ -166,9 +175,9 @@ public abstract class DifferentialFunction {
         return ret;
     }
 
-    public void setPropertiesForFunction(Map properties){
+    public void setPropertiesForFunction(Map properties) {
         Map fields = DifferentialFunctionClassHolder.getInstance().getFieldsForFunction(this);
-        for(String s : properties.keySet()){
+        for(String s : properties.keySet()) {
             Field f = fields.get(s);
             if(f == null){
                 log.warn("No fields found for property name {} for class {}", s, this.getClass().getName());
@@ -252,7 +261,7 @@ public abstract class DifferentialFunction {
                 target.set(o, value);
             } catch (IllegalAccessException e){
                 throw new RuntimeException("Error setting configuration field \"" + propertyName + "\" for config field \"" + propertyName
-                    + "\" on class " + getClass().getName());
+                        + "\" on class " + getClass().getName());
             }
 
         } else {
@@ -456,7 +465,12 @@ public abstract class DifferentialFunction {
         }
     }
 
-    public void replaceArg(int i, SDVariable newArg){
+    /**
+     * Replace argument at the specfied index
+     * @param i the index
+     * @param newArg the new argument
+     */
+    public void replaceArg(int i, SDVariable newArg) {
         if(sameDiff != null){
             sameDiff.replaceArgFor(i, newArg, this);
         }
@@ -475,20 +489,20 @@ public abstract class DifferentialFunction {
     /**
      * @return The output variable, or the first output variable, if multiple outputs exist
      */
-    public SDVariable outputVariable(){
+    public SDVariable outputVariable() {
         return outputVariables()[0];
     }
 
-    public List outputs(){
+    public List outputs() {
         SDVariable[] out = outputVariables();
         return out == null ? null : Arrays.asList(out);
     }
 
 
-    public String[] outputVariablesNames(){
+    public String[] outputVariablesNames() {
         SDVariable[] outputVars = outputVariables();
         String[] out = new String[outputVars.length];
-        for( int i=0; i calculateOutputShape() {
-        throw new ND4JIllegalStateException("calculateOutputShape() method leaked out for [" + this.opName() + "]");
+        throw new ND4JIllegalStateException("Op type of " + getClass().getName() + "did not override calculateOutputShape() method leaked out for [" + this.opName() + "]");
     }
 
     public List calculateOutputShape(OpContext oc){
-        throw new ND4JIllegalStateException("calculateOutputShape(OpContext) method leaked out for [" + this.opName() + "]");
+        throw new ND4JIllegalStateException("Op type of " + getClass().getName() + " did not override calculateOutputShape(OpContext) method leaked out for [" + this.opName() + "]");
     }
 
     /**
@@ -726,7 +737,7 @@ public abstract class DifferentialFunction {
      * @return The data types of the outputs
      */
     public List calculateOutputDataTypes(List dataTypes){
-        throw new UnsupportedOperationException("calculateOutputDataTypes() has not been implemented for " + getClass().getName());
+        throw new UnsupportedOperationException("Op type of " + getClass().getName() + " and name " +  this.toString() + " did not override  calculateOutputDataTypes()! This function has not been implemented for " + getClass().getName());
     }
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/At.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/At.java
index e05d067c6..be975f8e3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/At.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/At.java
@@ -1,15 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners;
 
 import lombok.*;
 import org.nd4j.autodiff.samediff.internal.FrameIter;
 
-/**
- *
- * Used in SameDiff {@link Listener} instances.
- * Contains information such as the current epoch, iteration and thread
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @EqualsAndHashCode
 @ToString
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseEvaluationListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseEvaluationListener.java
index c0af6bb5c..c3647758c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseEvaluationListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseEvaluationListener.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners;
@@ -28,14 +32,6 @@ import org.nd4j.evaluation.IEvaluation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * A base listener class that will preform the provided evaluations, and provide the results in epochEnd and validationDone
- *
- * Instead of overriding requiredVariables, epochStart, epochEnd, validationDone, and/or opExecution,
- * override otherRequiredVariables, epochStartEvaluations, epochEndEvaluations, validationDoneEvaluations, and/or opExecutionEvaluations
- *
- * If you want to use Evaluations in your listener, extend this class
- */
 public abstract class BaseEvaluationListener extends BaseListener {
 
     private Map> trainingEvaluations = new HashMap<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseListener.java
index 6978a79d0..5d9ca83c9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/BaseListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners;
 
 import org.nd4j.autodiff.listeners.records.LossCurve;
@@ -8,14 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.OpContext;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * A base/abstract {@link Listener} with all methods implemented as no-op.
- * Extend this for custom listeners to selectively override only the required methods
- *
- * If you want to use evaluations in your listener, use {@link BaseEvaluationListener}
- *
- * @author Alex Black
- */
 public abstract class BaseListener implements Listener {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Listener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Listener.java
index 4ed7df6c3..2645f916a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Listener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Listener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners;
 
 import org.nd4j.autodiff.listeners.records.LossCurve;
@@ -8,13 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.OpContext;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * A {@link SameDiff} listener interface that is called during every iteration of training or inference
- *
- * @author Alex Black
- * @see BaseListener BaseListener, for extending only the required methods (all others are no-op)
- * @see BaseEvaluationListener BaseEvaluationListener, for extending if you want to use evaluations
- */
 public interface Listener {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerEvaluations.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerEvaluations.java
index 256bdb4a6..20a8695ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerEvaluations.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerEvaluations.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners;
@@ -30,22 +34,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.evaluation.IEvaluation;
 
-/**
- * A class to allow Listeners to define what evaluations they need to run during training
        
- * 
        
- * Usage example - does classification ({@link org.nd4j.evaluation.classification.Evaluation}) evaluation on
- * the training set (as training proceeds) and also Evaluation/ROCMultiClass evaluation on the test/validation set.
- * Assumes that the output predictions are called "softmax" and the first DataSet/MultiDataSet labels are those corresponding
- * to the "softmax" node
- * 
        {@code
- * ListenerEvaluations.builder()
- *     //trainEvaluations: on the training data (in-line, as training proceeds through the epoch)
- *     .trainEvaluation("softmax", 0, new Evaluation(), new ROCMultiClass())
- *     //validationEvaluation: on the test/validation data, at the end of each epoch
- *     .validationEvaluation("softmax", 0, new Evaluation(), new ROCMultiClass())
- *     .build();
- * }
        
- */
 @Getter
 public class ListenerEvaluations {
     private Map> trainEvaluations;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerResponse.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerResponse.java
index c6ff02827..7ab5a262a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerResponse.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerResponse.java
@@ -1,26 +1,25 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners;
 
-/**
- * An enum representing feedback given by listeners during the training loop.
        
- * CONTINUE: Continue training for more epochs, unless the specified (maximum) number of training epochs have already been completed.
        
- * STOP: Terminate training at the current point, irrespective of how many total epochs were specified when calling fit.
        
- */
 public enum ListenerResponse {
     CONTINUE, STOP;
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerVariables.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerVariables.java
index 33baf7099..4b4b7ae30 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerVariables.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/ListenerVariables.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners;
@@ -33,13 +37,6 @@ import org.nd4j.autodiff.samediff.internal.SameDiffOp;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * Specifies a Listener's required variables for each operation.
- * Used to ensure those variables end up in the minimum required subgraph calculated by {@link org.nd4j.autodiff.samediff.internal.InferenceSession}.
- * Otherwise, if the variables weren't required by a loss variable, they would not be calculated.
- * 
        
- * Any variables in here are guaranteed to have {@link Listener#activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray)} called for them.
- */
 @RequiredArgsConstructor
 @Getter
 public class ListenerVariables {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Loss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Loss.java
index d95f662bf..43bf09b4d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Loss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Loss.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners;
 
 import java.util.ArrayList;
@@ -9,11 +29,6 @@ import org.nd4j.common.base.Preconditions;
 
 import java.util.List;
 
-/**
- * Loss class - represents the loss (score) for the network, for one iteration. Provides a breakdown of all the loss components
- *
- * @author Alex Black
- */
 @Data
 public class Loss {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Operation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Operation.java
index 8676c4b02..ee410c9da 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Operation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/Operation.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners;
@@ -21,15 +25,6 @@ import java.util.Map;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * An enum representing the operation being done on a SameDiff graph.
        
- * 
        
- * TRAINING: {@link SameDiff#fit()} methods training step (everything except validation)
        
- * TRAINING_VALIDATION: the validation step during {@link SameDiff#fit()} methods - i.e., test/validation set evaluation,
        
- * INFERENCE: {@link SameDiff#output()}, {@link SameDiff#batchOutput()} and {@link SameDiff#exec(Map, String...)} ()} methods,
- * including the single batch and placeholder ones.  Also {@link SDVariable#eval()}
        
- * EVALUATION: {@link SameDiff#evaluate()} methods
        
- */
 public enum Operation {
     /**
      * The training operation: {@link SameDiff#fit()} methods training step (everything except validation).
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/Checkpoint.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/Checkpoint.java
index 0c0a1429d..8d72da418 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/Checkpoint.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/Checkpoint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.listeners.checkpoint;
 
@@ -22,11 +26,6 @@ import lombok.Data;
 import java.io.Serializable;
 import java.util.Arrays;
 
-/**
- * A model checkpoint, used with {@link CheckpointListener}
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class Checkpoint implements Serializable {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/CheckpointListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/CheckpointListener.java
index c15db7e08..57a0ad4df 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/CheckpointListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/checkpoint/CheckpointListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners.checkpoint;
 
 
@@ -21,56 +41,6 @@ import java.text.SimpleDateFormat;
 import java.util.*;
 import java.util.concurrent.TimeUnit;
 
-/**
- *
- * CheckpointListener: The goal of this listener is to periodically save a copy of the model during training..
        
- * Model saving may be done:
        
- * 1. Every N epochs
        
- * 2. Every N iterations
        
- * 3. Every T time units (every 15 minutes, for example)
        
- * Or some combination of the 3.
        
- * 
        
- * Models can be restored using {@link #loadCheckpoint(File, int)}, {@link #loadLastCheckpoint(File)} and {@link #loadCheckpoint(int)}.
- * Checkpoints can be obtained using {@link #lastCheckpoint()} and {@link #availableCheckpoints()}
- * 
        
- * Example 1: Saving a checkpoint every 2 epochs, keep all model files
- * 
        - * {@code CheckpointListener l = new CheckpointListener.Builder("/save/directory")
- *       .keepAll() //Don't delete any models
- *       .saveEveryNEpochs(2)
- *       .build()
- * }
- * 
        
- * 
        
- * Example 2: Saving a checkpoint every 1000 iterations, but keeping only the last 3 models (all older model
- * files will be automatically deleted)
- * 
        - * {@code CheckpointListener l = new CheckpointListener.Builder(new File("/save/directory"))
- *          .keepLast(3)
- *          .saveEveryNIterations(1000)
- *          .build();
- * }
- * 
        
- * 
        
- * Example 3: Saving a checkpoint every 15 minutes, keeping the most recent 3 and otherwise every 4th checkpoint
- * file:
- * 
        - * {@code CheckpointListener l = new CheckpointListener.Builder(new File("/save/directory"))
- *          .keepLastAndEvery(3, 4)
- *          .saveEvery(15, TimeUnit.MINUTES)
- *          .build();
- * }
- * 
        
- * 
        
- * Note that you can mix these: for example, to save every epoch and every 15 minutes (independent of last save time):
        
- * {@code .saveEveryEpoch().saveEvery(15, TimeUnit.MINUTES)}
        
- * To save every epoch, and every 15 minutes, since the last model save use:
        
- * {@code .saveEveryEpoch().saveEvery(15, TimeUnit.MINUTES, true)}
        
- * Note that is this last example, the sinceLast parameter is true. This means the 15-minute counter will be
- * reset any time a model is saved.
        
- *
- * @author Alex Black
- */
 @Slf4j
 public class CheckpointListener extends BaseListener implements Serializable {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ArraySavingListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ArraySavingListener.java
index 2a9c6e9ad..c78510243 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ArraySavingListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ArraySavingListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners.debugging;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ExecDebuggingListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ExecDebuggingListener.java
index 847faea37..a862a2fe9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ExecDebuggingListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/ExecDebuggingListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners.debugging;
 
 import lombok.val;
@@ -16,39 +36,6 @@ import org.nd4j.linalg.api.ops.ScalarOp;
 
 import java.util.Arrays;
 
-/**
- * A listener that logs operation execution for debugging purposes.
- * 3 modes are supported:

        
- * OPS_ONLY: Only the operations names are printed. For example:
        
- * {@code (iter=0,epoch=0,op=1) org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp}
        
- * SHAPES_ONLY: Print the operation class, shape info (for inputs/output arrays) as well as any arguments - iArgs, bArgs, tArgs. For example:
        
- * 
        {@code
- * (iter=1,epoch=0,op=3) org.nd4j.linalg.api.ops.impl.loss.LogLoss
- * 	iArgs=[3]
- * 	tArgs=[1.0E-7]
- * 	Input[0]=Rank: 2, DataType: FLOAT, Offset: 0, Order: c, Shape: [1,2],  Stride: [1,1]
- * 	Input[1]=Rank: 0, DataType: FLOAT, Offset: 0, Order: c, Shape: [],  Stride: []
- * 	Input[2]=Rank: 2, DataType: FLOAT, Offset: 0, Order: c, Shape: [1,2],  Stride: [1,1]
- * 	Outputs[0]=Rank: 0, DataType: FLOAT, Offset: 0, Order: c, Shape: [],  Stride: []
- * }
- * 
        
- * REPRODUCE: Print runnable Java code that should reproduce that op execution (other than perhaps exact input/output strides). For example:
        
- * 
        {@code
- * (iter=2,epoch=0,op=1) org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
- * DynamicCustomOp op = new org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp();
- * INDArray[] inputs = new INDArray[2];
- * inputs[0] = Nd4j.createFromArray(1.5253239f, 0.8733858f).reshape(1, 2);
- * inputs[1] = Nd4j.createFromArray(0.483428f, 0.86025196f).reshape(1, 2);
- * op.addInputArgument(inputs);
- * INDArray[] outputs = new INDArray[1];
- * outputs[0] = Nd4j.createFromArray(2.012087f, 1.7303026f).reshape(1, 2);
- * op.addOutputArgument(outputs);
- * Nd4j.exec(op);
- * }
- * 
        
- *
- * @author Alex Black
- */
 public class ExecDebuggingListener extends BaseListener {
 
     public enum PrintMode {OPS_ONLY, SHAPES_ONLY, REPRODUCE}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/OpBenchmarkListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/OpBenchmarkListener.java
index 703559729..7ecba330e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/OpBenchmarkListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/debugging/OpBenchmarkListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners.debugging;
 
 import lombok.*;
@@ -17,14 +37,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.text.DecimalFormat;
 import java.util.*;
 
-/**
- * A simple listener for benchmarking single operations in SameDiff
        
- * Supports 2 modes:
        
- * - SINGLE_ITER_PRINT: Print the runtime of the first iteration
        
- * - AGGREGATE: Collect statistics for multiple runs, that can be accessed (by op name) via {@link #getAggregateModeMap()}
- *
- * @author Alex Black
- */
 @Getter
 public class OpBenchmarkListener extends BaseListener {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/HistoryListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/HistoryListener.java
index b337c0656..4e03b6efd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/HistoryListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/HistoryListener.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners.impl;
@@ -32,10 +36,6 @@ import org.nd4j.autodiff.listeners.Operation;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.autodiff.samediff.TrainingConfig;
 
-/**
- * HistoryListener is mainly used internally to collect information such as the loss curve and evaluations,
- * which will be reported later in a {@link History} instance
- */
 public class HistoryListener extends BaseEvaluationListener {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/ScoreListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/ScoreListener.java
index 9bb0c7de3..a070fdd5a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/ScoreListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/ScoreListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners.impl;
 
 import lombok.extern.slf4j.Slf4j;
@@ -13,21 +33,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 
 import java.text.DecimalFormat;
 
-/**
- * A listener that reports scores and performance metrics for each epoch.
        
- * At every N iterations, the following is reported:
- * (a) Epoch and iteration number
        
- * (b) Loss value (total loss)
        
- * (c) ETL time (if > 0) - this represents how long training was blocked waiting for data. Values consistently above 0 indicate an ETL bottleneck
        
- * 

        
- * At the end of every epoch, the following is reported:
        
- * (a) Epoch and iteration numbers
        
- * (b) Number of batches and examples in the epoch
        
- * (c) Average number of batches per second and examples per second
        
- * (d) Total amount of time blocked on ETL during the epoch (including percentage, if > 0)
        
- *
- * @author Alex Black
- */
 @Slf4j
 public class ScoreListener extends BaseListener {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/UIListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/UIListener.java
index 2cd544508..f5bc5c8b6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/UIListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/impl/UIListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.listeners.impl;
 
 import com.google.flatbuffers.Table;
@@ -28,28 +48,6 @@ import java.io.File;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * User interface listener for SameDiff
        
- * 
        
- * Basic usage:
- * 
        - * {@code
- * UIListener l = UIListener.builder(f)
- *                  //Plot loss curve, at every iteration (enabled and set to 1 by default)
- *                 .plotLosses(1)
- *                 //Plot the training set evaluation metrics: accuracy and f1 score
- *                 .trainEvaluationMetrics("softmax", 0, Evaluation.Metric.ACCURACY, Evaluation.Metric.F1)
- *                 //Plot the parameter to update:ratios for each parameter, every 10 iterations
- *                 .updateRatios(10)
- *                 .build();
- * }
- * 
        
- * 
        
- * Note that the UIListener supports continuing with the same network on the same file - but only if the network configuration
- * matches. See {@link FileMode} for configuration/details
- *
- * @author Alex Black
- */
 public class UIListener extends BaseListener {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/ProfilingListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/ProfilingListener.java
index 57de9f2e9..791049958 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/ProfilingListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/ProfilingListener.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler;
 
 import lombok.*;
@@ -42,30 +46,6 @@ import java.util.*;
 import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingDeque;
 
-/**
- * SameDiff profiling listener: for profiling operation execution
        
- * Writes profiles to a file in JSON format
        
- * Format is Chrome profiler format. The output can be read by Google Chrome browser; open Chrome and go to:
- * chrome://tracing and load the output JSON format data
- * 
        
- * At present, only operation execution is profiled, not other aspects such as memory allocation and training-related
- * functionality.
        
- * 
        
- * Tracing can be configured in a few different ways via the builder, {@link #builder(File)}:
        
- * (a) warmup - don't record traces for the first N iterations
        
- * (b) "all" mode (default) - record all-iterations, with no limit (after warmup, if applicable)
        
- * (c) "n iterations" mode: record at most the first N iterations (after warmup, if applicable)
        
- * (d) "n ms" mod: record for at most N milliseconds since the start of the first op execution (after warmup, if applicable)
        
- *
- * Note: The Chrome Trace Event format can be found here:
        
- * https://docs.google.com/document/d/1CvAClvFfyA5R-PhYUmn5OOQtYMH4h6I0nSsKchNAySU/edit
- * SameDiff uses the JSON Array Format, as this can be written in an online/streaming manner.
        
- * Conversely, TensorFlow uses the JSON Object Format.
        
- * 
        
- * For summarizing, analyzing and comparing the results (SameDiff or TensorFlow format), see {@link org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer}
        
- *
- * @author Alex Black
- */
 @Getter
 @Slf4j
 public class ProfilingListener extends BaseListener {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/Config.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/Config.java
index f174bfe4f..bc7626cbb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/Config.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/Config.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.comparison;
 
 import lombok.Builder;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/OpStats.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/OpStats.java
index 0949020af..6949f2a98 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/OpStats.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/OpStats.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.comparison;
 
 import lombok.AllArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/ProfileAnalyzer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/ProfileAnalyzer.java
index c60ebe20a..7e6d71025 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/ProfileAnalyzer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/comparison/ProfileAnalyzer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.comparison;
 
 import lombok.NonNull;
@@ -36,18 +40,6 @@ import java.io.IOException;
 import java.nio.charset.StandardCharsets;
 import java.util.*;
 
-/**
- * A profile analyzer, used for analyzing Chrome-format profiler dumps generated by both SameDiff's
        
- * {@link ProfilingListener} and TensorFlow's profiler.
        
- * Has methods for summarizing profiler statistics, as well as comparing two profiler dumps.
        
- * 
        
- * Also supports analyzing/aggregating multiple JSON files in a directory, via the "...Directory(...)" methods.
- * 
        
- * See {@link ProfilingListener}
        
- * See {@link TraceEvent}
- *
- * @author Alex Black
- */
 @Slf4j
 public class ProfileAnalyzer {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/ColorName.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/ColorName.java
index 0d9c08deb..43a68769f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/ColorName.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/ColorName.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.data;
 
 public enum ColorName {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/Phase.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/Phase.java
index bca7feb39..a54c6172a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/Phase.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/Phase.java
@@ -1,25 +1,24 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.data;
 
-/**
- * Chrome Profiler phase, for details see:
- * 
- *     https://docs.google.com/document/d/1CvAClvFfyA5R-PhYUmn5OOQtYMH4h6I0nSsKchNAySU/edit
- */
 public enum Phase {
     B,
     E,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvent.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvent.java
index e4270edd1..ac8c19d69 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvent.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvent.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.data;
 
 import lombok.AllArgsConstructor;
@@ -23,16 +27,6 @@ import lombok.NoArgsConstructor;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A TraceEvent, such as an operation execution.
        
- * Intended mainly for JSON serialization/deserialization in Chrome profiler format
        
- * Profiler format is described here: 
- * https://docs.google.com/document/d/1CvAClvFfyA5R-PhYUmn5OOQtYMH4h6I0nSsKchNAySU/edit
- * See {@link org.nd4j.autodiff.listeners.profiler.ProfilingListener}
        
- * See {@link org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer}
- *
- * @author Alex Black
- */
 @Builder
 @Data
 @AllArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvents.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvents.java
index b3ebf6d8a..67e032fc6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvents.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/profiler/data/TraceEvents.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.autodiff.listeners.profiler.data;
 
 import lombok.AllArgsConstructor;
@@ -21,11 +25,6 @@ import lombok.NoArgsConstructor;
 
 import java.util.List;
 
-/**
- * A simple holder for a list of trace events
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Data
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/EvaluationRecord.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/EvaluationRecord.java
index 1f05469c4..ca272ce69 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/EvaluationRecord.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/EvaluationRecord.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners.records;
@@ -33,9 +37,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.evaluation.IEvaluation;
 import org.nd4j.evaluation.IMetric;
 
-/**
- * A helper class to hold evaluations and provide methods to easily query them
- */
 @Getter
 public class EvaluationRecord {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/History.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/History.java
index c4bb830a4..1067ee413 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/History.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/History.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners.records;
@@ -29,14 +33,6 @@ import org.nd4j.evaluation.IEvaluation;
 import org.nd4j.evaluation.IMetric;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * An object containing training history for a SameDiff.fit call, such as {@link SameDiff#fit()}, {@link SameDiff#fit(DataSetIterator, int, Listener...)}, etc.
        
- * Contains information including:
        
- * - Evaluations performed (training set and test set)
        
- * - Loss curve (score values at each iteration)
        
- * - Training times, and validation times
        
- * - Number of epochs performed
        
- */
 @Getter
 public class History {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/LossCurve.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/LossCurve.java
index 4d7300c62..8c68dbafd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/LossCurve.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/listeners/records/LossCurve.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.listeners.records;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/loss/LossReduce.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/loss/LossReduce.java
index 1c1170903..56b8258e0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/loss/LossReduce.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/loss/LossReduce.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.loss;
 
-/**
- * The LossReduce enum specifies how (or if) the values of a loss function should be reduced to a single value.
- * See the javadoc comments on the individual enumeration constants for details.
- *
- * @author Alex Black
- */
 public enum LossReduce {
     /**
      * No reduction. In most cases, output is the same shape as the predictions/labels.
        
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArgumentInterceptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArgumentInterceptor.java
index a1f4734fc..21c2627a3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArgumentInterceptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArgumentInterceptor.java
@@ -1,30 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
-/**
- * Internal interface used to apply a transform to any arguments used within a certain block
- *
- * Intended for internal use only.
- *
- * Managed with {@link SameDiff#addArgumentInterceptor(ArgumentInterceptor)}, {@link SameDiff#removeArgumentInterceptor()},
- * {@link SameDiff#pauseArgumentInterceptor()}, and {@link SameDiff#unpauseArgumentInterceptor()}
- *
- */
 public interface ArgumentInterceptor {
     SDVariable intercept(SDVariable argument);
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArrayHolder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArrayHolder.java
index 9c8f59357..657cd3c54 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArrayHolder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ArrayHolder.java
@@ -1,17 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Collection;
 
-/**
- * Holds a set of arrays keyed by a String name, functioning essentially like a {@code Map}.
        
- * Implementations may have different internal ways of storing arrays, however.
        
- * For example for single threaded applications: {@link org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder}
        
- * And for multi-threaded: {@link org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder}
- *
- * @author Alex Black
- */
 public interface ArrayHolder {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/NameScope.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/NameScope.java
index aca2ce9cb..00fff5a8e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/NameScope.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/NameScope.java
@@ -1,14 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff;
 
 import lombok.Data;
 
 import java.io.Closeable;
 
-/**
- * Used with {@link SameDiff#withNameScope(String)}
- *
- * @author Alex Black
- */
 @Data
 public class NameScope implements Closeable {
     private final SameDiff sameDiff;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDIndex.java
index 058789aa2..ea08bf132 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 import lombok.Getter;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDVariable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDVariable.java
index d78c6b5b3..bfbd49ff0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDVariable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SDVariable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
@@ -34,17 +38,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Map;
 
-/**
- *
- * A variable representing a component within a
- * {@@link SameDiff} graph.
- *
- * SDVariable is used for symbolic declaration
- * of equations.
- *
- * @author Adam Gibson
- *
- */
 @Data
 @NoArgsConstructor
 @Slf4j
@@ -53,7 +46,6 @@ public class SDVariable implements Serializable {
     protected SameDiff sameDiff;
 
     @Getter
-    @Setter
     protected String varName;
     @Getter
     @Setter
@@ -91,6 +83,10 @@ public class SDVariable implements Serializable {
         return varName;
     }
 
+    public void setVarName(String varName) {
+        this.varName = varName;
+    }
+
     /**
      * @deprecated Use {@link #name()}
      */
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiff.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiff.java
index 1535ed105..a48a5bbe6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiff.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiff.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
@@ -43,6 +47,7 @@ import org.nd4j.evaluation.IEvaluation;
 import org.nd4j.evaluation.classification.Evaluation;
 import org.nd4j.evaluation.classification.ROC;
 import org.nd4j.graph.*;
+import org.nd4j.imports.VariableUtils;
 import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.memory.MemoryWorkspace;
@@ -94,16 +99,8 @@ import java.util.regex.Matcher;
 import java.util.regex.Pattern;
 
 import static org.nd4j.autodiff.util.SameDiffUtils.stackOutputs;
+import static org.nd4j.imports.VariableUtils.stripVarSuffix;
 
-/**
- * SameDiff is the entrypoint for ND4J's automatic differentiation functionality.
- * 
        
- * You define a graph symbolically.
- * 
        
- * That graph accumulates operations.
- * 
        
- * In order to execute the graph, you run one of the execution methods, such as {@link #output(Map, String...)}
- */
 @Slf4j
 public class SameDiff extends SDBaseOps {
     protected static final String GRAD_FN_KEY = "grad";
@@ -571,9 +568,9 @@ public class SameDiff extends SDBaseOps {
      */
     public DifferentialFunction getVariableOutputOp(String variableName) {
         Preconditions.checkState(variables.containsKey(variableName), "No variable with name \"%s\" found in graph", variableName);
-        if (variables.get(variableName).getOutputOfOp() == null)
+        if (variables.get(variableName).getOutputOfOp() == null || ops.get(stripVarSuffix(variables.get(variableName).getOutputOfOp())) == null)
             return null;
-        return ops.get(variables.get(variableName).getOutputOfOp()).getOp();
+        return ops.get(stripVarSuffix(variables.get(variableName).getOutputOfOp())).getOp();
     }
 
     /**
@@ -1100,13 +1097,16 @@ public class SameDiff extends SDBaseOps {
         ops.get(function.getOwnName()).setInputsToOp(Arrays.asList(variables));     //Duplicate variables OK/required here
 
         for (String variableName : variables) {
-            List funcs = this.variables.get(variableName).getInputsForOp();
-            if (funcs == null) {
-                funcs = new ArrayList<>();
-                this.variables.get(variableName).setInputsForOp(funcs);
+            if(this.variables.containsKey(variableName)) {
+                List funcs = this.variables.get(variableName).getInputsForOp();
+                if (funcs == null) {
+                    funcs = new ArrayList<>();
+                    this.variables.get(variableName).setInputsForOp(funcs);
+                }
+                if (!funcs.contains(function.getOwnName()))  //Avoid duplicates for function names.
+                    funcs.add(function.getOwnName());
             }
-            if (!funcs.contains(function.getOwnName()))  //Avoid duplicates for function names.
-                funcs.add(function.getOwnName());
+
         }
     }
 
@@ -2473,7 +2473,7 @@ public class SameDiff extends SDBaseOps {
      * Special case of {@link #batchOutput()}.
      */
     public Map outputAll(Map placeholders) {
-        return batchOutput().outputAll().inputs(placeholders).exec();
+        return batchOutput().outputAll().inputs(placeholders).output();
     }
     /**
      * Do inference for a single variable for a single batch.
@@ -2483,7 +2483,7 @@ public class SameDiff extends SDBaseOps {
      * Special case of {@link #batchOutput()}.
      */
     public INDArray outputSingle(Map placeholders, String output) {
-        return batchOutput().output(output).inputs(placeholders).execSingle();
+        return batchOutput().output(output).inputs(placeholders).outputSingle();
     }
 
     /**
@@ -2544,7 +2544,7 @@ public class SameDiff extends SDBaseOps {
 
         validateListenerActivations(activeListeners, operation);
 
-        Map ret = directExecHelper(placeholders, At.defaultAt(operation), null, Collections.emptyList(), activeListeners, outputs);
+        Map ret = directExecHelper(placeholders, At.defaultAt(operation), null, Collections.emptyList(), activeListeners, outputs);
 
         for (Listener l : activeListeners) {
             l.operationEnd(this, operation);
@@ -2576,7 +2576,7 @@ public class SameDiff extends SDBaseOps {
         //Placeholder validation is performed in InferenceSession
 
         InferenceSession is = sessions.get(threadId);
-        return is.output(outputs == null ? Collections.emptyList() : Arrays.asList(outputs),
+        return is.output(outputs == null ? Collections.emptyList() : Arrays.asList(outputs),
                 placeholders, batch, requiredActivations, activeListeners, at);
     }
 
@@ -3319,11 +3319,14 @@ public class SameDiff extends SDBaseOps {
 
     /**
      * Rename the specified variable to the new name.
-     *
+     * Note here we also specify the op.
+     * Sometimes, ops have multiple outputs and after the first rename of the variable
+     * we lose the reference to the correct op to modify.
+     * @param opToReName  the op to rename
      * @param from The variable to rename - this variable must exist
      * @param to   The new name for the variable - no variable with this name must already exist
      */
-    public void renameVariable(String from, String to) {
+    public void renameVariable(SameDiffOp opToReName,String from, String to) {
         Preconditions.checkState(variables.containsKey(from), "Cannot rename variable \"%s\": no variable with this name exists", from);
         Preconditions.checkState(!variables.containsKey(to), "Cannot rename variable \"%s\" to name \"%s\": a variable with name \"%s\" already exists", from, to, to);
 
@@ -3337,6 +3340,7 @@ public class SameDiff extends SDBaseOps {
                 while (newInputs.contains(from)) {
                     newInputs.set(newInputs.indexOf(from), to);
                 }
+
                 op.setInputsToOp(newInputs);
             }
         }
@@ -3386,15 +3390,15 @@ public class SameDiff extends SDBaseOps {
         variables.remove(from);
         variables.put(to, v);
 
-        if(v.getVariable().getVariableType() == VariableType.CONSTANT && constantArrays.hasArray(from)){
+        if(v.getVariable().getVariableType() == VariableType.CONSTANT && constantArrays.hasArray(from)) {
             constantArrays.rename(from, to);
         }
 
-        if(v.getVariable().getVariableType() == VariableType.VARIABLE && variablesArrays.hasArray(from)){
+        if(v.getVariable().getVariableType() == VariableType.VARIABLE && variablesArrays.hasArray(from)) {
             variablesArrays.rename(from, to);
         }
 
-        if(v.getVariable().getVariableType() == VariableType.PLACEHOLDER ){
+        if(v.getVariable().getVariableType() == VariableType.PLACEHOLDER) {
             for(Map e : placeholdersPerThread.values()){
                 //Not really thread safe - but renaming variables during execution in other threads can never be thread safe :)
                 if(e != null && e.containsKey(from)){
@@ -3434,6 +3438,7 @@ public class SameDiff extends SDBaseOps {
                 while (l.contains(from)) {
                     l.set(l.indexOf(from), to);
                 }
+
                 trainingConfig.setDataSetLabelMaskMapping(l);
             }
 
@@ -3453,13 +3458,25 @@ public class SameDiff extends SDBaseOps {
         }
 
         //Check losses:
-        if(lossVariables.contains(from)){
+        if(lossVariables.contains(from)) {
             int idx = lossVariables.indexOf(from);
             lossVariables.set(idx, to);
         }
     }
 
 
+    /**
+     * Rename the specified variable to the new name.
+     *
+     * @param from The variable to rename - this variable must exist
+     * @param to   The new name for the variable - no variable with this name must already exist
+     */
+    public void renameVariable(String from, String to) {
+        SameDiffOp op = ops.get(stripVarSuffix(from));
+        renameVariable(op,from,to);
+    }
+
+
     /**
      * Remove an argument for a function. Note that if this function does not contain the argument, it will just be a no op.
      *
@@ -4521,6 +4538,7 @@ public class SameDiff extends SDBaseOps {
         associateSameDiffWithOpsAndVariables();
     }
 
+
     /**
      * Try to infer the loss variable/s (usually loss variables). Note that this is not reliable in general.
      */
@@ -4568,16 +4586,19 @@ public class SameDiff extends SDBaseOps {
         return variables.get(varName).getVariable().isPlaceHolder();
     }
 
+
     /**
      * Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.
      * 
        
      * Note that if null for the new variable is passed in, it will just return the original input variable.
-     *
+     * @param opToRename  note we pass in the op here for times when an op may have multiple outputs
+     *                    when this is the case, we need to pass in the op to rename otherwise context gets lost
+     *                    and subsequent rename attempts will not operate on the op.
      * @param varToUpdate the variable to update
      * @param newVarName  the new variable name
      * @return the passed in variable
      */
-    public SDVariable updateVariableNameAndReference(SDVariable varToUpdate, String newVarName) {
+    public SDVariable updateVariableNameAndReference(SameDiffOp opToRename,SDVariable varToUpdate, String newVarName) {
         if (varToUpdate == null) {
             throw new NullPointerException("Null input: No variable found for updating!");
         }
@@ -4608,10 +4629,24 @@ public class SameDiff extends SDBaseOps {
 
         val oldVarName = varToUpdate.name();
         varToUpdate.setVarName(newVarName);
-        renameVariable(oldVarName, newVarName);
+        renameVariable(opToRename,oldVarName, newVarName);
         return varToUpdate;
     }
 
+    /**
+     * Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.
+     * 
        
+     * Note that if null for the new variable is passed in, it will just return the original input variable.
+     *
+     * @param varToUpdate the variable to update
+     * @param newVarName  the new variable name
+     * @return the passed in variable
+     */
+    public SDVariable updateVariableNameAndReference(SDVariable varToUpdate, String newVarName) {
+        SameDiffOp op = ops.get(varToUpdate.name());
+        return updateVariableNameAndReference(op,varToUpdate,newVarName);
+    }
+
 
     /**
      * Updates the variable name property on the passed in variables, its reference in samediff, and returns the variable.
@@ -4755,7 +4790,7 @@ public class SameDiff extends SDBaseOps {
         val flatNodes = new ArrayList();
 
         // first of all we build VariableSpace dump
-        val variableList = new ArrayList(variables());
+        val variableList = new ArrayList<>(variables());
         val reverseMap = new LinkedHashMap();
         val forwardMap = new LinkedHashMap();
         val framesMap = new LinkedHashMap();
@@ -5208,27 +5243,27 @@ public class SameDiff extends SDBaseOps {
             Variable v2 = sd.variables.get(n);
 
             //Reconstruct control dependencies
-            if(v.controlDepsLength() > 0){
+            if(v.controlDepsLength() > 0) {
                 int num = v.controlDepsLength();
                 List l = new ArrayList<>(num);
-                for( int i=0; i 0){
+            if(v.controlDepForOpLength() > 0) {
                 int num = v.controlDepForOpLength();
                 List l = new ArrayList<>(num);
-                for( int i=0; i 0){
+            if(v.controlDepsForVarLength() > 0) {
                 int num = v.controlDepsForVarLength();
                 List l = new ArrayList<>(num);
-                for( int i=0; i 0) {
                 int l = fn.controlDepsLength();
                 List list = new ArrayList<>(l);
-                for( int i=0; i 0) {
                 int l = fn.varControlDepsLength();
                 List list = new ArrayList<>(l);
-                for( int i=0; i 0) {
@@ -5674,7 +5709,7 @@ public class SameDiff extends SDBaseOps {
                 int fns = (sd.ops() == null ? 0 : sd.ops().length);
                 int defFns = sd.definedFunctionNames().size();
 
-                sb.append(String.format(format, e.getKey(), String.valueOf(vars), String.valueOf(fns), String.valueOf(defFns))).append("\n");
+                sb.append(String.format(format, e.getKey(), vars, fns, defFns)).append("\n");
             }
         }
 
@@ -5683,7 +5718,7 @@ public class SameDiff extends SDBaseOps {
 
     /**
      * For internal use only.
-     * Creates a new discinct block name from baseName.
+     * Creates a new distinct block name from baseName.
      * Block names are used by If and While
      */
     public String newBlockName(String baseName) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffConditional.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffConditional.java
index 6ecf9ec71..7e1b4f7d0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffConditional.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffConditional.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
-/**
- * An interface for representing a conditional statement
- */
 public interface SameDiffConditional {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffFunctionDefinition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffFunctionDefinition.java
index b0cf3f752..742addaf3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffFunctionDefinition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffFunctionDefinition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
@@ -20,9 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- * A function definition for samediff
- */
 public interface SameDiffFunctionDefinition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffLambda.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffLambda.java
index c9efc1428..3af2bf070 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffLambda.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffLambda.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
-/**
- * A basic SameDiff lambda, used in while loop creation (the body).
- */
 public interface SameDiffLambda {
     SDVariable[] define(SameDiff sameDiff, SDVariable[] inputs);
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffNoArgSingleLambda.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffNoArgSingleLambda.java
index 4c3f7a86d..03c0a8c97 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffNoArgSingleLambda.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffNoArgSingleLambda.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
-/**
- * A SameDiff lambda with only one output and no arguments.  Used in if condition creation (the condition and bodies).
- */
 public interface SameDiffNoArgSingleLambda {
     SDVariable define(SameDiff sameDiff);
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffSingleLambda.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffSingleLambda.java
index 21ba05689..47f4e3a29 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffSingleLambda.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/SameDiffSingleLambda.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
-/**
- * A SameDiff lambda with only one output, used in while loop creation (the condition).
- */
 public interface SameDiffSingleLambda {
     SDVariable define(SameDiff sameDiff, SDVariable[] inputs);
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/TrainingConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/TrainingConfig.java
index 70c962781..f06cfec9c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/TrainingConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/TrainingConfig.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
@@ -30,21 +34,6 @@ import org.nd4j.serde.json.JsonMappers;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * TrainingConfig is a simple configuration class for defining settings for training a {@link SameDiff} instance.
        
- * It defines the following settings:
        
- * 
          
- *     
        • The {@link IUpdater} to use (i.e., {@link org.nd4j.linalg.learning.config.Adam}, {@link org.nd4j.linalg.learning.config.Nesterovs} etc.
- *     The IUpdater instance is also how the learning rate (or learning rate schedule) is set.
          • 
- *     
        • The L1 and L2 regularization coefficients (set to 0.0 by default)
          • 
- *     
        • The DataSet feature and label mapping - which defines how the feature/label arrays from the DataSet/MultiDataSet
- *     should be associated with SameDiff variables (usually placeholders)
          • 
- * 
        
- * The TrainingConfig instance also stores the iteration count and the epoch count - these values are updated during training
- * and are used for example in learning rate schedules.
- *
- * @author Alex Black
- */
 @Data
 @Builder
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/VariableType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/VariableType.java
index 757b834df..4cebd0e29 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/VariableType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/VariableType.java
@@ -1,39 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff;
 
-/**
- * An SDVarible may have different uses in a SameDiff graph - VariableType represents these different roles/uses.
        
- * 
        
- * VARIABLE: an array of trainable parameters in the SameDiff instance. Must be floating point (to be trainable by backprop)
        
- * CONSTANT: a fixed value that should not be modified during training/inference. May be replaced by the user.
        
- * ARRAY: an intermediate array (ie., output of an op) that is not trainable and is usually not persisted. For example, activations.
        
- * PLACEHOLDER: represents an array to be provided later. Your input features and labels are placeholders.
        
- * 
        
- * 
        
- * 
        - * Type         Trainable   Gradients       Persisted       Workspaces      DataTypes
- * VARIABLE     Yes         Yes             Yes             No              Floating point only
- * CONSTANT     No          No              Yes             No              All
- * ARRAY        No          Yes             No              Yes             All
- * PLACEHOLDER  No          No              No              No              All
- * 
        
- *
- */
 public enum VariableType {
     VARIABLE,
     CONSTANT,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/api/OutAndGrad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/api/OutAndGrad.java
index d0bc4b8b6..49ad96f8d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/api/OutAndGrad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/api/OutAndGrad.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.api;
 
 import lombok.AllArgsConstructor;
@@ -6,9 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- * A simple object holding two maps - one of output arrays, another of gradient arrays
- */
 @AllArgsConstructor
 @Data
 public class OutAndGrad {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/SingleThreadArrayHolder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/SingleThreadArrayHolder.java
index 3f67b57bd..f80933660 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/SingleThreadArrayHolder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/SingleThreadArrayHolder.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.array;
 
 import lombok.NonNull;
@@ -9,12 +29,6 @@ import java.util.Collections;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * A simple {@link ArrayHolder} that uses a simple {@code Map} internally.
- * No thread safety guarantees
- *
- * @author Alex Black
- */
 public class SingleThreadArrayHolder implements ArrayHolder {
 
     private final Map map = new HashMap<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/ThreadSafeArrayHolder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/ThreadSafeArrayHolder.java
index 34832d45f..a6ccb3d4a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/ThreadSafeArrayHolder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/array/ThreadSafeArrayHolder.java
@@ -1,7 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.array;
 
 import lombok.NonNull;
 import org.nd4j.autodiff.samediff.ArrayHolder;
+import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.util.DeviceLocalNDArray;
 
@@ -10,11 +31,6 @@ import java.util.Collections;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * An {@link ArrayHolder} that uses the thread safe {@link DeviceLocalNDArray} internally
- *
- * @author Alex Black
- */
 public class ThreadSafeArrayHolder implements ArrayHolder {
 
     private final Map map = new ConcurrentHashMap<>();
@@ -42,7 +58,8 @@ public class ThreadSafeArrayHolder implements ArrayHolder {
         if (array.isView())
             array = array.dup();    //Device local doesn't support views
         if (!map.containsKey(name)) {
-            DeviceLocalNDArray dla = new DeviceLocalNDArray(array, lazyInit);
+            INDArray toBroadcast = array.dataType() == DataType.UTF8 ? array.dup() : array;
+            DeviceLocalNDArray dla = new DeviceLocalNDArray(toBroadcast, lazyInit);
             map.put(name, dla);
         } else {
             DeviceLocalNDArray dla = map.get(name);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/BatchOutputConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/BatchOutputConfig.java
index a0a3dd503..010b235ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/BatchOutputConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/BatchOutputConfig.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.samediff.config;
@@ -31,11 +35,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Configuration for a single batch {@link SameDiff} inference operation.
- *
- * Used in {@link SameDiff#batchOutput()}.
- */
 @Getter
 @Setter
 public class BatchOutputConfig {
@@ -58,7 +57,7 @@ public class BatchOutputConfig {
     /**
      * Add required outputs
      */
-    public BatchOutputConfig output(@NonNull String... outputs){
+    public BatchOutputConfig output(@NonNull String... outputs) {
         this.outputs.addAll(Arrays.asList(outputs));
         return this;
     }
@@ -139,7 +138,7 @@ public class BatchOutputConfig {
     /**
      * Do inference and return the results
      */
-    public Map output(){
+    public Map output() {
         return sd.output(placeholders, listeners, outputs.toArray(new String[0]));
     }
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/EvaluationConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/EvaluationConfig.java
index b77e13c8d..9a1fcd3e3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/EvaluationConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/EvaluationConfig.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.samediff.config;
@@ -35,11 +39,6 @@ import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Configuration for a {@link SameDiff} evaluation operation.
- *
- * Used in {@link SameDiff#evaluate()}.
- */
 @Getter
 @Setter
 public class EvaluationConfig {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/FitConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/FitConfig.java
index 8932a563f..b5ba64fbc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/FitConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/FitConfig.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.samediff.config;
@@ -33,11 +37,6 @@ import org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Configuration for a {@link SameDiff} training operation.
- * 
        
- * Used in {@link SameDiff#fit()}.
- */
 @Getter
 @Setter
 public class FitConfig {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/OutputConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/OutputConfig.java
index 97f80490a..2a6b5371a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/OutputConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/config/OutputConfig.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.samediff.config;
@@ -37,11 +41,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Configuration for a {@link SameDiff} inference operation.
- *
- * Used in {@link SameDiff#output()}.
- */
 @Getter
 @Setter
 public class OutputConfig {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/impl/DefaultSameDiffConditional.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/impl/DefaultSameDiffConditional.java
index f5e1ec96f..72bdd8cef 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/impl/DefaultSameDiffConditional.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/impl/DefaultSameDiffConditional.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractDependencyTracker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractDependencyTracker.java
index 5496df7a1..9c3b5d917 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractDependencyTracker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractDependencyTracker.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal;
 
 import lombok.Getter;
@@ -9,38 +29,21 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- * Object dependency tracker.
- * 
        
- * Dependency are denoted by: X -> Y, which means "Y depends on X"
        
- * In this implementation:
        
- * - Dependencies may be satisfied, or not satisfied
        
- * - The implementation tracks when the dependency for an object Y are fully satisfied. This occurs when:
        
- * 1. No dependencies X->Y exist
        
- * 2. All dependencies of the form X->Y have been marked as satisfied, via markSatisfied(x)
        
- * - When a dependency is satisfied, any dependent (Ys) are checked to see if all their dependencies are satisfied
        
- * - If a dependent has all dependencies satisfied, it is added to the "new all satisfied" queue for processing,
- * which can be accessed via {@link #hasNewAllSatisfied()}, {@link #getNewAllSatisfied()} and {@link #getNewAllSatisfiedList()}
        
- * 
        
- * Note: Two types of dependencies exist
        
- * 1. Standard dependencies - i.e., "Y depends on X"
        
- * 2. "Or" dependencies - i.e., "Y depends on (A or B)".
        
- * For Or dependencies of the form "(A or B) -> Y", Y will be marked as "all dependencies satisfied" if either A or B is marked as satisfied.
- *
- * @param  For a dependency X -> Y, Y has type T
- * @param  For a dependency X -> Y, X has type D
- */
 @Slf4j
 public abstract class AbstractDependencyTracker {
     @Getter
     private final Map> dependencies;                              //Key: the dependent. Value: all things that the key depends on
     @Getter
     private final Map>> orDependencies;                    //Key: the dependent. Value: the set of OR dependencies
+    @Getter
     private final Map> reverseDependencies = new HashMap<>();     //Key: the dependee. Value: The set of all dependents that depend on this value
+    @Getter
     private final Map> reverseOrDependencies = new HashMap<>();
+    @Getter
     private final Set satisfiedDependencies = new HashSet<>();           //Mark the dependency as satisfied. If not in set: assumed to not be satisfied
-
+    @Getter
     private final Set allSatisfied;                                      //Set of all dependent values (Ys) that have all dependencies satisfied
+    @Getter
     private final Queue allSatisfiedQueue = new LinkedList<>();          //Queue for *new* "all satisfied" values. Values are removed using the "new all satisfied" methods
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractSession.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractSession.java
index 650bdeab2..0b0079cb1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractSession.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/AbstractSession.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.internal;
 
@@ -31,17 +35,8 @@ import org.nd4j.common.function.Predicate;
 
 import java.util.*;
 
-/**
- * AbstractSession is a SameDiff graph execution class that inference and training it built upon
- * It walks through the graph, dynamically executing operations that can be executed next, but (again, dynamically) only
- * executing the subset of the graph that is actually required to get the requested outputs.
        
- * None of what AbstractSession implements is NDArray-specific.
        
- * Note that most of the implementation complexity comes from dynamic graphs - i.e., nested loops, control ops, etc
- *
- * @param  Node output type - for example, INDArray, shape, etc depending on what we're calculating
- * @param  Op type
- * @author Alex Black
- */
+import static org.nd4j.imports.VariableUtils.stripVarSuffix;
+
 @Slf4j
 public abstract class AbstractSession {
 
@@ -118,7 +113,7 @@ public abstract class AbstractSession {
     }
 
     /**
-     * Get the output of the session - i.e., perform inference/forward pass and return the autputs for the specified variables
+     * Get the output of the session - i.e., perform inference/forward pass and return the outputs for the specified variables
      *
      * @param variables           Name of the variables we want the arrays/activations for
      * @param placeholderValues   The placeholder values (if any). May be null.
@@ -514,7 +509,7 @@ public abstract class AbstractSession {
      * Execution failed - can't calculate all requested outputs, and there's nothing left to calculate.
      * Throws an exception with a useful message
      *
-     * @param userRequestedUnique All outputs that the user requseted
+     * @param userRequestedUnique All outputs that the user requested
      * @param out                 Current outputs
      * @param step                Execution step
      */
@@ -544,7 +539,7 @@ public abstract class AbstractSession {
             }
         }
         String s = sb.toString();
-//        System.out.println(sameDiff.summary());
+        System.out.println(sameDiff.summary());
         throw new IllegalStateException(s);
     }
 
@@ -564,6 +559,52 @@ public abstract class AbstractSession {
             List outNames = op.getOutputsOfOp();
             for (String s : outNames) {
                 Variable v = sameDiff.getVariables().get(s);
+                if(v != null) {
+                    List inputsToOps = v.getInputsForOp();
+                    if (inputsToOps != null) {
+                        for (String opName : inputsToOps) {
+                            if (subgraphOps.contains(opName)) {
+                                //We've just executed X, and there's dependency X -> Y
+                                //But, there also might be a Z -> Y that we should mark as needed for Y
+                                addDependenciesForOp(opName, outFrameIter);
+                            }
+                        }
+                    }
+
+
+                    //Also add control dependencies (variable)
+                    List cdForOps = v.getControlDepsForOp();
+                    if (cdForOps != null) {
+                        for (String opName : cdForOps) {
+                            if (subgraphOps.contains(opName)) {
+                                //We've just executed X, and there's dependency X -> Y
+                                //But, there also might be a Z -> Y that we should mark as needed for Y
+                                addDependenciesForOp(opName, outFrameIter);
+                            }
+                        }
+                    }
+                }
+
+            }
+        } else if (t == ExecType.VARIABLE || t == ExecType.CONSTANT || t == ExecType.PLACEHOLDER) {
+            Variable v = sameDiff.getVariables().get(n);
+            if(v != null) {
+                List inputsToOps = v.getInputsForOp();
+                if (inputsToOps != null) {
+                    for (String opName : inputsToOps) {
+                        if (subgraphOps.contains(opName)) {
+                            addDependenciesForOp(opName, outFrameIter);
+                        }
+                    }
+                }
+            }
+
+        } else if (justExecuted.getType() == ExecType.SWITCH_L || justExecuted.getType() == ExecType.SWITCH_R) {
+            SameDiffOp op = sameDiff.getOps().get(n);
+            List outNames = op.getOutputsOfOp();
+            String branchVarName = (justExecuted.getType() == ExecType.SWITCH_L ? outNames.get(0) : outNames.get(1));
+            Variable v = sameDiff.getVariables().get(branchVarName);
+            if(v != null) {
                 List inputsToOps = v.getInputsForOp();
                 if (inputsToOps != null) {
                     for (String opName : inputsToOps) {
@@ -574,45 +615,8 @@ public abstract class AbstractSession {
                         }
                     }
                 }
+            }
 
-
-                //Also add control dependencies (variable)
-                List cdForOps = v.getControlDepsForOp();
-                if (cdForOps != null) {
-                    for (String opName : cdForOps) {
-                        if (subgraphOps.contains(opName)) {
-                            //We've just executed X, and there's dependency X -> Y
-                            //But, there also might be a Z -> Y that we should mark as needed for Y
-                            addDependenciesForOp(opName, outFrameIter);
-                        }
-                    }
-                }
-            }
-        } else if (t == ExecType.VARIABLE || t == ExecType.CONSTANT || t == ExecType.PLACEHOLDER) {
-            Variable v = sameDiff.getVariables().get(n);
-            List inputsToOps = v.getInputsForOp();
-            if (inputsToOps != null) {
-                for (String opName : inputsToOps) {
-                    if (subgraphOps.contains(opName)) {
-                        addDependenciesForOp(opName, outFrameIter);
-                    }
-                }
-            }
-        } else if (justExecuted.getType() == ExecType.SWITCH_L || justExecuted.getType() == ExecType.SWITCH_R) {
-            SameDiffOp op = sameDiff.getOps().get(n);
-            List outNames = op.getOutputsOfOp();
-            String branchVarName = (justExecuted.getType() == ExecType.SWITCH_L ? outNames.get(0) : outNames.get(1));
-            Variable v = sameDiff.getVariables().get(branchVarName);
-            List inputsToOps = v.getInputsForOp();
-            if (inputsToOps != null) {
-                for (String opName : inputsToOps) {
-                    if (subgraphOps.contains(opName)) {
-                        //We've just executed X, and there's dependency X -> Y
-                        //But, there also might be a Z -> Y that we should mark as needed for Y
-                        addDependenciesForOp(opName, outFrameIter);
-                    }
-                }
-            }
         } else {
             throw new UnsupportedOperationException("Unknown or not yet implemented exec type: " + justExecuted);
         }
@@ -691,8 +695,17 @@ public abstract class AbstractSession {
             return new ExecStep(ExecType.CONSTANT, v.getVariable().name(), new FrameIter(OUTER_FRAME, 0, null));
         } else {
             //Array type. Must be output of an op
+            if(v.getOutputOfOp() == null) {
+                v = sameDiff.getVariables().get(stripVarSuffix(v.getName()));
+            }
+
             String outOfOp = v.getOutputOfOp();
             SameDiffOp sdo = sameDiff.getOps().get(outOfOp);
+
+            if(sdo == null) {
+                throw new IllegalStateException("Samediff output op named " + v.getName() + " did not have any ops associated with it.");
+            }
+
             if (sdo.getOp() instanceof Switch) {
                 //For dependency tracking purposes, we track left and right output branches of switch op separately
                 //Otherwise, ops depending both branches will be marked as available if we just rely on "op has been executed"
@@ -771,7 +784,11 @@ public abstract class AbstractSession {
 
             if (!subgraph.contains(varName)) {
                 String[] opInputs = opName == null ? null : sameDiff.getInputsForOp(sameDiff.getOpById(opName));
-                List controlDeps = sameDiff.getVariables().get(varName).getControlDeps();
+                Variable currVar = sameDiff.getVariables().get(varName);
+                log.trace("Adding " + varName + " to subgraph for output.");
+                List opInputsFor = currVar.getInputsForOp();
+                List controlDeps = currVar.getControlDeps();
+                String output = currVar.getOutputOfOp();
                 int numInputs = (opInputs == null ? 0 : opInputs.length);
                 if (controlDeps != null) {
                     //Also count variable control dependencies as inputs - even a constant may not be available for use
@@ -781,6 +798,8 @@ public abstract class AbstractSession {
                 if (numInputs == 0 && opName != null) {
                     zeroInputOpsInSubgraph.add(opName);
                 }
+
+
                 subgraph.add(varName);
 
                 if (opName != null) {
@@ -796,11 +815,14 @@ public abstract class AbstractSession {
                         }
                     }
                 }
+
+
             }
 
             if (opName != null) {
                 //To execute op - and hence get this variable: need inputs to that op
-                String[] inputs = sameDiff.getInputsForOp(sameDiff.getOpById(opName));
+                DifferentialFunction opById = sameDiff.getOpById(opName);
+                String[] inputs = sameDiff.getInputsForOp(opById);
                 for (String s2 : inputs) {
                     if (!subgraph.contains(s2)) {
                         processingQueue.add(s2);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyList.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyList.java
index 98b5806d5..7eaf4e7be 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyList.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyList.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal;
 
 import lombok.AllArgsConstructor;
@@ -6,11 +26,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- * A list of dependencies, used in {@link AbstractDependencyTracker}
- *
- * @author Alex Black
- */
 @Data
 @AllArgsConstructor
 public class DependencyList {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyTracker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyTracker.java
index 069fac4ab..aa09e4825 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyTracker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/DependencyTracker.java
@@ -1,15 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal;
 
 import lombok.extern.slf4j.Slf4j;
 
 import java.util.*;
 
-/**
- * Dependenci tracker. See {@link AbstractDependencyTracker} for details
- *
- * @param  For a dependency X -> Y, Y has type T
- * @param  For a dependency X -> Y, X has type D
- */
 @Slf4j
 public class DependencyTracker extends AbstractDependencyTracker {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/FrameIter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/FrameIter.java
index 4ca555327..e1a215a36 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/FrameIter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/FrameIter.java
@@ -1,28 +1,28 @@
-/* ******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.internal;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 
-/**
- * FrameIter: Identifies a frame + iteration (but not a specific op or variable).
        
- * Note that frames can be nested - which generally represents nested loop situations.
- */
 @Data
 @AllArgsConstructor
 public class FrameIter {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/IdentityDependencyTracker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/IdentityDependencyTracker.java
index 828b19a62..25e5e0b04 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/IdentityDependencyTracker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/IdentityDependencyTracker.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal;
 
 import lombok.extern.slf4j.Slf4j;
@@ -5,12 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.*;
 
-/**
- * Object dependency tracker, using object identity (not object equality) for the Ys (of type T)
        
- * See {@link AbstractDependencyTracker} for more details
- *
- * @author Alex Black
- */
 @Slf4j
 public class IdentityDependencyTracker extends AbstractDependencyTracker {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/InferenceSession.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/InferenceSession.java
index e29721749..cbf56b445 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/InferenceSession.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/InferenceSession.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.internal;
 
@@ -51,20 +55,8 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.*;
 
-/**
- * InferenceSession: Performs inference (forward pass) on a SameDiff instance to get the outputs of the requested nodes.
        
- * Dynamically (in AbstractSession) calculates the required subgraph to execute to get the required outputs.
        
- * Note that while AbstractSession handles the graph structure component, InferenceSession handles only op execution
- * and memory management
        
- * 
        
- * For INDArray memory management - i.e., tracking and releasing memory manually, as soon as possible, to
- * minimize memory use - this is implemented using a {@link SessionMemMgr} instance (for allocations/deallocations) and
- * also {@link IdentityDependencyTracker} to track where arrays are actually used. The IdentityDependencyTracker tells
- * us when the array is no longer needed (i.e., has been "fully consumed" by all ops depending on it) accounting for the
- * fact that some operations, such as identity, enter, exit, etc, are "zero copy" for performance reasons.
- *
- * @author Alex Black
- */
+import static org.nd4j.imports.VariableUtils.stripVarSuffix;
+
 @Slf4j
 public class InferenceSession extends AbstractSession> {
     private static final String SCOPE_PANIC_MSG = "If required, arrays in workspaces can be detached using INDArray.detach() before being passed to the SameDiff instance.\n" +
@@ -680,6 +672,7 @@ public class InferenceSession extends AbstractSession l = tensorArrays.get(tArr);
             Preconditions.checkState(l != null, "Could not find TensorArray: %s", tArr);
 
@@ -711,6 +704,14 @@ public class InferenceSession extends AbstractSession 0) {
                     get = get.reshape();
                 }
+
+                //reflect the expanded storage
+                if(outIdx >= l.size()) {
+                    while(l.size() <= outIdx) {
+                        l.add(null);
+                    }
+                }
+
                 l.set(outIdx, get);
 
                 //Add dependency for values array until end of execution
@@ -807,9 +808,9 @@ public class InferenceSession extends AbstractSession uniqueArgNames = new HashSet<>();
                 Collections.addAll(uniqueArgNames, argNames);
-                Preconditions.checkState(uniqueArgNames.size() == (numNonConstIns + numConstPhIns + numNonConstInsAllIters),
+             /*   Preconditions.checkState(uniqueArgNames.size() == (numNonConstIns + numConstPhIns + numNonConstInsAllIters),
                         "Different number of arg names as op inputs for op %s (%s): arg names %s vs. op inputs %s+%s", df.getClass().getSimpleName(),
-                        opName, uniqueArgNames, opInputs, constAndPhInputs);
+                        opName, uniqueArgNames, opInputs, constAndPhInputs);*/
             } else {
                 Preconditions.checkState(numArgs == (numNonConstIns + numConstPhIns),
                         "Different number of arg names as op inputs for op %s (%s): arg names %s vs. op inputs %s+%s", df.getClass().getSimpleName(),
@@ -891,6 +892,9 @@ public class InferenceSession extends AbstractSession controlDeps;         //Name of SDVariables as control dependencies (not data inputs, but need to be available before exec)
     protected List varControlDeps;      //Variables (constants, placeholders, etc) that are control dependencies for this op
     protected List controlDepFor;       //Name of the variables that this op is a control dependency for
+
+    @Builder
+    public SameDiffOp(String name, DifferentialFunction op, List inputsToOp, List outputsOfOp, List controlDeps, List varControlDeps, List controlDepFor) {
+        this.name = name;
+        this.op = op;
+        this.inputsToOp = inputsToOp;
+        this.outputsOfOp = outputsOfOp;
+        this.controlDeps = controlDeps;
+        this.varControlDeps = varControlDeps;
+        this.controlDepFor = controlDepFor;
+    }
+
+    public String getName() {
+        return name;
+    }
+
+    public void setName(String name) {
+        this.name = name;
+    }
+
+    public DifferentialFunction getOp() {
+        return op;
+    }
+
+    public void setOp(DifferentialFunction op) {
+        this.op = op;
+    }
+
+    public List getInputsToOp() {
+        return inputsToOp;
+    }
+
+    public void setInputsToOp(List inputsToOp) {
+        this.inputsToOp = inputsToOp;
+    }
+
+    public List getOutputsOfOp() {
+        return outputsOfOp;
+    }
+
+    public void setOutputsOfOp(List outputsOfOp) {
+        this.outputsOfOp = outputsOfOp;
+    }
+
+    public List getControlDeps() {
+        return controlDeps;
+    }
+
+    public void setControlDeps(List controlDeps) {
+        this.controlDeps = controlDeps;
+    }
+
+    public List getVarControlDeps() {
+        return varControlDeps;
+    }
+
+    public void setVarControlDeps(List varControlDeps) {
+        this.varControlDeps = varControlDeps;
+    }
+
+    public List getControlDepFor() {
+        return controlDepFor;
+    }
+
+    public void setControlDepFor(List controlDepFor) {
+        this.controlDepFor = controlDepFor;
+    }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/SessionMemMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/SessionMemMgr.java
index b54db548a..b79643ec5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/SessionMemMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/SessionMemMgr.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal;
 
 import org.nd4j.linalg.api.buffer.DataType;
@@ -6,14 +26,6 @@ import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 
 import java.io.Closeable;
 
-/**
- * SessionMemMgr - aka "Session Memory Manager" is responsible for allocating, managing, and deallocating memory used
- * during SameDiff execution.
        
- * This interface allows different memory management strategies to be used, abstracted away from the actual graph
- * execution logic
- *
- * @author Alex Black
- */
 public interface SessionMemMgr extends Closeable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/TrainingSession.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/TrainingSession.java
index ff900ef3c..a6f218a6b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/TrainingSession.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/TrainingSession.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal;
 
 import lombok.extern.slf4j.Slf4j;
@@ -20,14 +40,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- * TrainingSession extends InferenceSession, to add training-specific functionality:
        
- * - Application of regularization (L1, L2, weight decay etc)
        
- * - Inline updating of variables, using updater/optimizer (Adam, Nesterov, SGD, etc)
        
- * - Calculation of regularization scores (Score for L1, L2, etc)
- *
- * @author Alex Black
- */
 @Slf4j
 public class TrainingSession extends InferenceSession {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/Variable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/Variable.java
index 4e7c88a4b..9f0bb48f8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/Variable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/Variable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.internal;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/AbstractMemoryMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/AbstractMemoryMgr.java
index e498deaf5..b1ca9fda8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/AbstractMemoryMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/AbstractMemoryMgr.java
@@ -1,14 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal.memory;
 
 import lombok.NonNull;
 import org.nd4j.autodiff.samediff.internal.SessionMemMgr;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Abstract memory manager, that implements ulike and dup methods using the underlying allocate methods
- *
- * @author Alex Black
- */
 public abstract class AbstractMemoryMgr implements SessionMemMgr {
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCacheMemoryMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCacheMemoryMgr.java
index 69db24f03..754520dfb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCacheMemoryMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCacheMemoryMgr.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal.memory;
 
 import lombok.*;
@@ -6,38 +26,12 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.shape.LongShapeDescriptor;
+import org.nd4j.linalg.api.shape.options.ArrayOptionsHelper;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.util.ArrayUtil;
 
 import java.util.*;
 
-/**
- * ArrayCacheMemoryMgr reuses arrays to reduce the number of memory allocations and deallocations.
        
- * Memory allocations and deallocations can be quite expensive, especially on GPUs.
        
- * Note that when arrays are reused, they are reused for the same datatype only.
        
- * If caching a released array would result in the the maximum cache size being is exceeded, the oldest arrays will
- * be deallocated first, until the new array can in the cache.
- * 

        
- * By default, the following parameters are used for the cache:
- * 
          
- * 
        • Maximum cache size: 0.25 x max memory, where:
          • 
- * 
            
- *      
          • CPU: max memory is determined using {@link Pointer#maxBytes()}
            • 
- *      
          • GPU: max memory is determined using GPU 0 total memory
            • 
- * 
          
- * 
        • Larger array max multiple: 2.0
          • 
- * 
            
- *     
          • This means: if an exact array size can't be provided from the cache, use the next smallest array with a buffer up to 2.0x larger than requested
            • 
- *     
          • If no cached arrays of size < 2x requested exists, allocate a new array
            • 
- * 
          
- * 
        • Small array threshold: 1024 elements
          • 
- * 
            
- *      
          • This means: the "larger array max multiple" doesn't apply below this level. For example, we might return a size 1 array backed by a size 1023 buffer
            • 
- * 
          
- * 
        
- *
- * @author Alex Black
- */
 @Getter
 public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
 
@@ -71,7 +65,7 @@ public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
      */
     public ArrayCacheMemoryMgr(double maxMemFrac, long smallArrayThreshold, double largerArrayMaxMultiple) {
         Preconditions.checkArgument(maxMemFrac > 0 && maxMemFrac < 1, "Maximum memory fraction for cache must be between 0.0 and 1.0, got %s", maxMemFrac);
-        Preconditions.checkArgument(smallArrayThreshold >= 0, "Small array threshould must be >= 0, got %s", smallArrayThreshold);
+        Preconditions.checkArgument(smallArrayThreshold >= 0, "Small array threshold must be >= 0, got %s", smallArrayThreshold);
         Preconditions.checkArgument(largerArrayMaxMultiple >= 1.0, "Larger array max multiple must be >= 1.0, got %s", largerArrayMaxMultiple);
         this.maxMemFrac = maxMemFrac;
         this.smallArrayThreshold = smallArrayThreshold;
@@ -88,7 +82,7 @@ public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
         maxCacheBytes = (long)(maxMemFrac * totalMemBytes);
     }
 
-    private boolean isCpu(){
+    private boolean isCpu() {
         String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
         return !"CUDA".equalsIgnoreCase(backend);
     }
@@ -111,7 +105,34 @@ public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
 
     @Override
     public INDArray allocate(boolean detached, LongShapeDescriptor descriptor) {
-        return allocate(detached, descriptor.dataType(), descriptor.getShape());
+        if(descriptor.isEmpty()) {
+            INDArray ret =  Nd4j.create(descriptor);
+            if(detached) {
+                ret = ret.detach();
+            }
+
+            return ret;
+        }
+
+        DataType dataType = descriptor.dataType();
+        long[] shape = descriptor.getShape();
+        if (arrayStores.containsKey(dataType)) {
+            INDArray arr = arrayStores.get(dataType).get(shape);
+            if(arr != null && arr.ordering() != descriptor.getOrder()) {
+                arr.setOrder(descriptor.getOrder());
+            }
+
+
+            if (arr != null) {
+                //Decrement cache size
+                currentCacheSize -= dataType.width() * arr.data().length();
+
+                return arr; //Allocated from cache
+            }
+        }
+
+        //Allocation failed, allocate new array
+        return Nd4j.createUninitializedDetached(dataType, shape);
     }
 
     @Override
@@ -122,13 +143,18 @@ public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
 
 
         DataType dt = array.dataType();
+        if(array.data() == null && array.closeable()) {
+            array.close();
+            return;
+        }
+
         long thisBytes = array.data().length() * dt.width();
         if(array.dataType() == DataType.UTF8) {
             //Don't cache string arrays due to variable length buffers
             if(array.closeable())
                 array.close();
         } else if (currentCacheSize + thisBytes > maxCacheBytes) {
-            if(thisBytes > maxCacheBytes){
+            if(thisBytes > maxCacheBytes) {
                 //Can't store even if we clear everything - too large
                 if(array.closeable())
                     array.close();
@@ -137,7 +163,7 @@ public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
 
             //Need to deallocate some arrays to stay under limit - do in "oldest first" order
             Iterator iter = lruCache.iterator();
-            while(currentCacheSize + thisBytes > maxCacheBytes){
+            while(currentCacheSize + thisBytes > maxCacheBytes) {
                 long next = iter.next();
                 iter.remove();
                 INDArray nextOldest = lruCacheValues.remove(next);
@@ -162,7 +188,7 @@ public class ArrayCacheMemoryMgr extends AbstractMemoryMgr {
         lruCacheValues.put(array.getId(), array);
     }
 
-    private void cacheArray(INDArray array){
+    private void cacheArray(INDArray array) {
         DataType dt = array.dataType();
         if (!arrayStores.containsKey(dt))
             arrayStores.put(dt, new ArrayStore());
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCloseMemoryMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCloseMemoryMgr.java
index 24992c50b..3f3fa6251 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCloseMemoryMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/ArrayCloseMemoryMgr.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal.memory;
 
 import lombok.NonNull;
@@ -8,13 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * A simple memory management strategy that deallocates memory as soon as it is no longer needed.
        
- * This should result in a minimal amount of memory, but will have some overhead - notably, the cost of deallocating
- * and reallocating memory all the time.
- *
- * @author Alex Black
- */
 @Slf4j
 public class ArrayCloseMemoryMgr extends AbstractMemoryMgr implements SessionMemMgr {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/CloseValidationMemoryMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/CloseValidationMemoryMgr.java
index 433a9393d..c1bc01f2d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/CloseValidationMemoryMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/CloseValidationMemoryMgr.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal.memory;
 
 import lombok.NonNull;
@@ -17,20 +37,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.*;
 
-/**
- * A {@link SessionMemMgr} that wraps an existing memory manager, to ensure that:
        
- * - All arrays that are supposed to be closed, have been closed
        
- * - Arrays are only passed to the close method exactly one (unless they are requested outputs)
        
- * - Arrays that are passed to the close method were originally allocated by the session memory manager
        
- * 
        
- * How to use:
        
- * 1. Perform an inference or training iteration, as normal
        
- * 2. Call {@link #assertAllReleasedExcept(Collection)} with the output arrays
        
- * 
        
- * NOTE: This is intended for debugging and testing only
- *
- * @author Alex Black
- */
 @Slf4j
 public class CloseValidationMemoryMgr extends AbstractMemoryMgr implements SessionMemMgr {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/NoOpMemoryMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/NoOpMemoryMgr.java
index 30b891c2f..c29b1c2f7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/NoOpMemoryMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/internal/memory/NoOpMemoryMgr.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.samediff.internal.memory;
 
 import lombok.NonNull;
@@ -7,16 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * A simple "no-op" memory manager that relies on JVM garbage collector for memory management.
- * Assuming other references have been cleared (they should have been) the arrays will be cleaned up by the
- * garbage collector at some point.
- *
- * This memory management strategy is not recommended for performance or memory reasons, and should only be used
- * for testing and debugging purposes
- *
- * @author Alex Black
- */
 public class NoOpMemoryMgr extends AbstractMemoryMgr implements SessionMemMgr {
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java
index 8190c4849..8e2641b47 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java
@@ -1,26 +1,32 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
 import static org.nd4j.autodiff.samediff.ops.SDValidation.isSameType;
 
 import java.lang.String;
+import java.util.Arrays;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.stream.Collectors;
+
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.common.base.Preconditions;
@@ -301,7 +307,7 @@ public class SDBaseOps {
    * @param transposeB Whether to transpose B arrays or not
    */
   public SDVariable[] batchMmul(SDVariable[] inputsA, SDVariable[] inputsB, boolean transposeA,
-      boolean transposeB) {
+                                boolean transposeB) {
     SDValidation.validateNumerical("batchMmul", "inputsA", inputsA);
     Preconditions.checkArgument(inputsA.length >= 1, "inputsA has incorrect size/length. Expected: inputsA.length >= 1, got %s", inputsA.length);
     SDValidation.validateNumerical("batchMmul", "inputsB", inputsB);
@@ -325,7 +331,7 @@ public class SDBaseOps {
    * @param transposeB Whether to transpose B arrays or not
    */
   public SDVariable[] batchMmul(String[] names, SDVariable[] inputsA, SDVariable[] inputsB,
-      boolean transposeA, boolean transposeB) {
+                                boolean transposeA, boolean transposeB) {
     SDValidation.validateNumerical("batchMmul", "inputsA", inputsA);
     Preconditions.checkArgument(inputsA.length >= 1, "inputsA has incorrect size/length. Expected: inputsA.length >= 1, got %s", inputsA.length);
     SDValidation.validateNumerical("batchMmul", "inputsB", inputsB);
@@ -476,7 +482,7 @@ public class SDBaseOps {
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable cumprod(String name, SDVariable in, boolean exclusive, boolean reverse,
-      int... axis) {
+                            int... axis) {
     SDValidation.validateNumerical("cumprod", "in", in);
     Preconditions.checkArgument(axis.length >= 1, "axis has incorrect size/length. Expected: axis.length >= 1, got %s", axis.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd(sd,in, exclusive, reverse, axis).outputVariable();
@@ -557,7 +563,7 @@ public class SDBaseOps {
    * @return output  (NUMERIC type)
    */
   public SDVariable cumsum(String name, SDVariable in, boolean exclusive, boolean reverse,
-      int... axis) {
+                           int... axis) {
     SDValidation.validateNumerical("cumsum", "in", in);
     Preconditions.checkArgument(axis.length >= 1, "axis has incorrect size/length. Expected: axis.length >= 1, got %s", axis.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum(sd,in, exclusive, reverse, axis).outputVariable();
@@ -674,7 +680,7 @@ public class SDBaseOps {
    * @param numPartitions Number of partitions, >= 1
    */
   public SDVariable[] dynamicPartition(String[] names, SDVariable x, SDVariable partitions,
-      int numPartitions) {
+                                       int numPartitions) {
     SDValidation.validateNumerical("dynamicPartition", "x", x);
     SDValidation.validateInteger("dynamicPartition", "partitions", partitions);
     SDVariable[] out =  new org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition(sd,x, partitions, numPartitions).outputVariables();
@@ -1183,7 +1189,7 @@ public class SDBaseOps {
    * @return output INDArray  with linearly spaced elements (NUMERIC type)
    */
   public SDVariable linspace(String name, DataType dataType, double start, double stop,
-      long number) {
+                             long number) {
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.shape.Linspace(sd,dataType, start, stop, number).outputVariable();
     return sd.updateVariableNameAndReference(out, name);
   }
@@ -1199,7 +1205,7 @@ public class SDBaseOps {
    * @return output INDArray  with linearly spaced elements (NUMERIC type)
    */
   public SDVariable linspace(SDVariable start, SDVariable stop, SDVariable number,
-      DataType dataType) {
+                             DataType dataType) {
     SDValidation.validateNumerical("linspace", "start", start);
     SDValidation.validateNumerical("linspace", "stop", stop);
     SDValidation.validateInteger("linspace", "number", number);
@@ -1218,7 +1224,7 @@ public class SDBaseOps {
    * @return output INDArray  with linearly spaced elements (NUMERIC type)
    */
   public SDVariable linspace(String name, SDVariable start, SDVariable stop, SDVariable number,
-      DataType dataType) {
+                             DataType dataType) {
     SDValidation.validateNumerical("linspace", "start", start);
     SDValidation.validateNumerical("linspace", "stop", stop);
     SDValidation.validateInteger("linspace", "number", number);
@@ -1439,7 +1445,7 @@ public class SDBaseOps {
    * @return output Number of elements that the condition is satisfied for (NUMERIC type)
    */
   public SDVariable matchConditionCount(SDVariable in, Condition condition, boolean keepDim,
-      int... dimensions) {
+                                        int... dimensions) {
     SDValidation.validateNumerical("matchConditionCount", "in", in);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     return new org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition(sd,in, condition, keepDim, dimensions).outputVariable();
@@ -1463,7 +1469,7 @@ public class SDBaseOps {
    * @return output Number of elements that the condition is satisfied for (NUMERIC type)
    */
   public SDVariable matchConditionCount(String name, SDVariable in, Condition condition,
-      boolean keepDim, int... dimensions) {
+                                        boolean keepDim, int... dimensions) {
     SDValidation.validateNumerical("matchConditionCount", "in", in);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition(sd,in, condition, keepDim, dimensions).outputVariable();
@@ -1508,7 +1514,7 @@ public class SDBaseOps {
    * @return output Number of elements that the condition is satisfied for (NUMERIC type)
    */
   public SDVariable matchConditionCount(String name, SDVariable in, Condition condition,
-      int... dimensions) {
+                                        int... dimensions) {
     SDValidation.validateNumerical("matchConditionCount", "in", in);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition(sd,in, condition, false, dimensions).outputVariable();
@@ -1889,7 +1895,7 @@ public class SDBaseOps {
    * @return output  (NUMERIC type)
    */
   public SDVariable mmul(SDVariable x, SDVariable y, boolean transposeX, boolean transposeY,
-      boolean transposeZ) {
+                         boolean transposeZ) {
     SDValidation.validateNumerical("mmul", "x", x);
     SDValidation.validateNumerical("mmul", "y", y);
     return new org.nd4j.linalg.api.ops.impl.reduce.Mmul(sd,x, y, transposeX, transposeY, transposeZ).outputVariable();
@@ -1908,7 +1914,7 @@ public class SDBaseOps {
    * @return output  (NUMERIC type)
    */
   public SDVariable mmul(String name, SDVariable x, SDVariable y, boolean transposeX,
-      boolean transposeY, boolean transposeZ) {
+                         boolean transposeY, boolean transposeZ) {
     SDValidation.validateNumerical("mmul", "x", x);
     SDValidation.validateNumerical("mmul", "y", y);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.reduce.Mmul(sd,x, y, transposeX, transposeY, transposeZ).outputVariable();
@@ -2298,14 +2304,14 @@ public class SDBaseOps {
    *
    * @param indices Indices - value 0 to depth-1 (NUMERIC type)
    * @param depth Number of classes
-   * @param axis 
-   * @param on 
-   * @param off 
+   * @param axis
+   * @param on
+   * @param off
    * @param dataType Output data type
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable oneHot(SDVariable indices, int depth, int axis, double on, double off,
-      DataType dataType) {
+                           DataType dataType) {
     SDValidation.validateNumerical("oneHot", "indices", indices);
     return new org.nd4j.linalg.api.ops.impl.shape.OneHot(sd,indices, depth, axis, on, off, dataType).outputVariable();
   }
@@ -2318,14 +2324,14 @@ public class SDBaseOps {
    * @param name name May be null. Name for the output variable
    * @param indices Indices - value 0 to depth-1 (NUMERIC type)
    * @param depth Number of classes
-   * @param axis 
-   * @param on 
-   * @param off 
+   * @param axis
+   * @param on
+   * @param off
    * @param dataType Output data type
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable oneHot(String name, SDVariable indices, int depth, int axis, double on,
-      double off, DataType dataType) {
+                           double off, DataType dataType) {
     SDValidation.validateNumerical("oneHot", "indices", indices);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.shape.OneHot(sd,indices, depth, axis, on, off, dataType).outputVariable();
     return sd.updateVariableNameAndReference(out, name);
@@ -2338,9 +2344,9 @@ public class SDBaseOps {
    *
    * @param indices Indices - value 0 to depth-1 (NUMERIC type)
    * @param depth Number of classes
-   * @param axis 
-   * @param on 
-   * @param off 
+   * @param axis
+   * @param on
+   * @param off
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable oneHot(SDVariable indices, int depth, int axis, double on, double off) {
@@ -2356,13 +2362,13 @@ public class SDBaseOps {
    * @param name name May be null. Name for the output variable
    * @param indices Indices - value 0 to depth-1 (NUMERIC type)
    * @param depth Number of classes
-   * @param axis 
-   * @param on 
-   * @param off 
+   * @param axis
+   * @param on
+   * @param off
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable oneHot(String name, SDVariable indices, int depth, int axis, double on,
-      double off) {
+                           double off) {
     SDValidation.validateNumerical("oneHot", "indices", indices);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.shape.OneHot(sd,indices, depth, axis, on, off, DataType.FLOAT).outputVariable();
     return sd.updateVariableNameAndReference(out, name);
@@ -2430,7 +2436,7 @@ public class SDBaseOps {
    * As per onesLike(String, SDVariable) but the output datatype may be specified
        
    *
    * @param input  (NUMERIC type)
-   * @param dataType 
+   * @param dataType
    * @return output  (NUMERIC type)
    */
   public SDVariable onesLike(SDVariable input, DataType dataType) {
@@ -2443,7 +2449,7 @@ public class SDBaseOps {
    *
    * @param name name May be null. Name for the output variable
    * @param input  (NUMERIC type)
-   * @param dataType 
+   * @param dataType
    * @return output  (NUMERIC type)
    */
   public SDVariable onesLike(String name, SDVariable input, DataType dataType) {
@@ -2606,7 +2612,7 @@ public class SDBaseOps {
    * @param from Initial/smallest value
    * @param to Largest value (exclusive)
    * @param step Step size
-   * @param dataType 
+   * @param dataType
    * @return output INDArray  with the specified values (NUMERIC type)
    */
   public SDVariable range(double from, double to, double step, DataType dataType) {
@@ -2622,7 +2628,7 @@ public class SDBaseOps {
    * @param from Initial/smallest value
    * @param to Largest value (exclusive)
    * @param step Step size
-   * @param dataType 
+   * @param dataType
    * @return output INDArray  with the specified values (NUMERIC type)
    */
   public SDVariable range(String name, double from, double to, double step, DataType dataType) {
@@ -2638,7 +2644,7 @@ public class SDBaseOps {
    * @param from Initial/smallest value (NUMERIC type)
    * @param to Largest value (exclusive) (NUMERIC type)
    * @param step Step size (NUMERIC type)
-   * @param dataType 
+   * @param dataType
    * @return output INDArray  with the specified values (NUMERIC type)
    */
   public SDVariable range(SDVariable from, SDVariable to, SDVariable step, DataType dataType) {
@@ -2657,11 +2663,11 @@ public class SDBaseOps {
    * @param from Initial/smallest value (NUMERIC type)
    * @param to Largest value (exclusive) (NUMERIC type)
    * @param step Step size (NUMERIC type)
-   * @param dataType 
+   * @param dataType
    * @return output INDArray  with the specified values (NUMERIC type)
    */
   public SDVariable range(String name, SDVariable from, SDVariable to, SDVariable step,
-      DataType dataType) {
+                          DataType dataType) {
     SDValidation.validateNumerical("range", "from", from);
     SDValidation.validateNumerical("range", "to", to);
     SDValidation.validateNumerical("range", "step", step);
@@ -2721,7 +2727,7 @@ public class SDBaseOps {
    * @return output New array with values replaced where condition is satisfied (NUMERIC type)
    */
   public SDVariable replaceWhere(String name, SDVariable update, SDVariable from,
-      Condition condition) {
+                                 Condition condition) {
     SDValidation.validateNumerical("replaceWhere", "update", update);
     SDValidation.validateNumerical("replaceWhere", "from", from);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace(sd,update, from, condition).outputVariable();
@@ -2755,7 +2761,7 @@ public class SDBaseOps {
    * @return output New array with values replaced where condition is satisfied (NUMERIC type)
    */
   public SDVariable replaceWhere(String name, SDVariable update, double value,
-      Condition condition) {
+                                 Condition condition) {
     SDValidation.validateNumerical("replaceWhere", "update", update);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet(sd,update, value, condition).outputVariable();
     return sd.updateVariableNameAndReference(out, name);
@@ -2793,6 +2799,47 @@ public class SDBaseOps {
     return sd.updateVariableNameAndReference(out, name);
   }
 
+
+  /**
+   * Split the input in to a list of sub tensors
+   * @param input the input to split
+   * @param numSizeSplits the number of splits
+   * @param splitDim the dimension to split along
+   * @return the set of output variables
+   */
+  public SDVariable[] split(SDVariable input,int numSizeSplits,int splitDim) {
+    SDValidation.validateNumerical("split",input);
+    SDVariable[] out =  new org.nd4j.linalg.api.ops.impl.shape.Split(sd,input,numSizeSplits,splitDim).outputVariables();
+    return out;
+  }
+
+  /**
+   * Split the input in to a list of sub tensors
+   * @param name the potential name of the input
+   * @param input the input to split
+   * @param numSizeSplits the number of splits
+   * @param splitDim the dimension to split along
+   * @return the set of output variables
+   */
+  public SDVariable[] split(String name,SDVariable input,int numSizeSplits,int splitDim) {
+    SDValidation.validateNumerical("split",input);
+    SDVariable[] out =  new org.nd4j.linalg.api.ops.impl.shape.Split(sd,input,numSizeSplits,splitDim).outputVariables();
+    SDVariable[] ret = new SDVariable[out.length];
+    AtomicInteger index = new AtomicInteger(0);
+    Arrays.stream(out).forEach(output -> {
+      if(index.get() < 1) {
+        ret[index.get()] = sd.updateVariableNameAndReference(output,name);
+        index.incrementAndGet();
+      }
+      else {
+        ret[index.get()] = sd.updateVariableNameAndReference(output,name + ":" + index.get());
+        index.incrementAndGet();
+      }
+    });
+
+    return ret;
+  }
+
   /**
    * Reshape the input variable to the specified (fixed) shape. The output variable will have the same values as the
        
    * input, but with the specified shape.
        
@@ -2883,7 +2930,7 @@ public class SDBaseOps {
    * @return output Reversed sequences (NUMERIC type)
    */
   public SDVariable reverseSequence(SDVariable x, SDVariable seq_lengths, int seqDim,
-      int batchDim) {
+                                    int batchDim) {
     SDValidation.validateNumerical("reverseSequence", "x", x);
     SDValidation.validateInteger("reverseSequence", "seq_lengths", seq_lengths);
     return new org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence(sd,x, seq_lengths, seqDim, batchDim).outputVariable();
@@ -2900,7 +2947,7 @@ public class SDBaseOps {
    * @return output Reversed sequences (NUMERIC type)
    */
   public SDVariable reverseSequence(String name, SDVariable x, SDVariable seq_lengths, int seqDim,
-      int batchDim) {
+                                    int batchDim) {
     SDValidation.validateNumerical("reverseSequence", "x", x);
     SDValidation.validateInteger("reverseSequence", "seq_lengths", seq_lengths);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence(sd,x, seq_lengths, seqDim, batchDim).outputVariable();
@@ -3076,7 +3123,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterAdd(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                               SDVariable updates) {
     SDValidation.validateNumerical("scatterAdd", "ref", ref);
     SDValidation.validateNumerical("scatterAdd", "indices", indices);
     SDValidation.validateNumerical("scatterAdd", "updates", updates);
@@ -3119,7 +3166,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterDiv(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                               SDVariable updates) {
     SDValidation.validateNumerical("scatterDiv", "ref", ref);
     SDValidation.validateNumerical("scatterDiv", "indices", indices);
     SDValidation.validateNumerical("scatterDiv", "updates", updates);
@@ -3162,7 +3209,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterMax(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                               SDVariable updates) {
     SDValidation.validateNumerical("scatterMax", "ref", ref);
     SDValidation.validateNumerical("scatterMax", "indices", indices);
     SDValidation.validateNumerical("scatterMax", "updates", updates);
@@ -3205,7 +3252,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterMin(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                               SDVariable updates) {
     SDValidation.validateNumerical("scatterMin", "ref", ref);
     SDValidation.validateNumerical("scatterMin", "indices", indices);
     SDValidation.validateNumerical("scatterMin", "updates", updates);
@@ -3248,7 +3295,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterMul(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                               SDVariable updates) {
     SDValidation.validateNumerical("scatterMul", "ref", ref);
     SDValidation.validateNumerical("scatterMul", "indices", indices);
     SDValidation.validateNumerical("scatterMul", "updates", updates);
@@ -3291,7 +3338,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterSub(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                               SDVariable updates) {
     SDValidation.validateNumerical("scatterSub", "ref", ref);
     SDValidation.validateNumerical("scatterSub", "indices", indices);
     SDValidation.validateNumerical("scatterSub", "updates", updates);
@@ -3334,7 +3381,7 @@ public class SDBaseOps {
    * @return output The updated variable (NUMERIC type)
    */
   public SDVariable scatterUpdate(String name, SDVariable ref, SDVariable indices,
-      SDVariable updates) {
+                                  SDVariable updates) {
     SDValidation.validateNumerical("scatterUpdate", "ref", ref);
     SDValidation.validateNumerical("scatterUpdate", "indices", indices);
     SDValidation.validateNumerical("scatterUpdate", "updates", updates);
@@ -3548,7 +3595,7 @@ public class SDBaseOps {
    *
    * @param lengths Lengths of the sequences (NUMERIC type)
    * @param maxLen Maximum sequence length
-   * @param dataType 
+   * @param dataType
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable sequenceMask(SDVariable lengths, int maxLen, DataType dataType) {
@@ -3563,7 +3610,7 @@ public class SDBaseOps {
    * @param name name May be null. Name for the output variable
    * @param lengths Lengths of the sequences (NUMERIC type)
    * @param maxLen Maximum sequence length
-   * @param dataType 
+   * @param dataType
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable sequenceMask(String name, SDVariable lengths, int maxLen, DataType dataType) {
@@ -3578,7 +3625,7 @@ public class SDBaseOps {
    *
    * @param lengths Lengths of the sequences (NUMERIC type)
    * @param maxLen Maximum sequence length (INT type)
-   * @param dataType 
+   * @param dataType
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable sequenceMask(SDVariable lengths, SDVariable maxLen, DataType dataType) {
@@ -3594,11 +3641,11 @@ public class SDBaseOps {
    * @param name name May be null. Name for the output variable
    * @param lengths Lengths of the sequences (NUMERIC type)
    * @param maxLen Maximum sequence length (INT type)
-   * @param dataType 
+   * @param dataType
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable sequenceMask(String name, SDVariable lengths, SDVariable maxLen,
-      DataType dataType) {
+                                 DataType dataType) {
     SDValidation.validateNumerical("sequenceMask", "lengths", lengths);
     SDValidation.validateInteger("sequenceMask", "maxLen", maxLen);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.shape.SequenceMask(sd,lengths, maxLen, dataType).outputVariable();
@@ -3609,7 +3656,7 @@ public class SDBaseOps {
    * see sequenceMask(String, SDVariable, SDVariable, DataType)
        
    *
    * @param lengths  (NUMERIC type)
-   * @param dataType 
+   * @param dataType
    * @return output  (NUMERIC type)
    */
   public SDVariable sequenceMask(SDVariable lengths, DataType dataType) {
@@ -3622,7 +3669,7 @@ public class SDBaseOps {
    *
    * @param name name May be null. Name for the output variable
    * @param lengths  (NUMERIC type)
-   * @param dataType 
+   * @param dataType
    * @return output  (NUMERIC type)
    */
   public SDVariable sequenceMask(String name, SDVariable lengths, DataType dataType) {
@@ -3810,7 +3857,7 @@ public class SDBaseOps {
    * keepDims = false: [a,c]
        
    *
    * @param x  (NUMERIC type)
-   * @param keepDims 
+   * @param keepDims
    * @param dimensions  (Size: AtLeast(min=0))
    * @return output  (NUMERIC type)
    */
@@ -3832,7 +3879,7 @@ public class SDBaseOps {
    *
    * @param name name May be null. Name for the output variable
    * @param x  (NUMERIC type)
-   * @param keepDims 
+   * @param keepDims
    * @param dimensions  (Size: AtLeast(min=0))
    * @return output  (NUMERIC type)
    */
@@ -3968,7 +4015,7 @@ public class SDBaseOps {
    * @return output reduced array of rank (input rank - num dimensions) (NUMERIC type)
    */
   public SDVariable standardDeviation(SDVariable x, boolean biasCorrected, boolean keepDims,
-      int... dimensions) {
+                                      int... dimensions) {
     SDValidation.validateNumerical("standardDeviation", "x", x);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     return new org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation(sd,x, biasCorrected, keepDims, dimensions).outputVariable();
@@ -3992,7 +4039,7 @@ public class SDBaseOps {
    * @return output reduced array of rank (input rank - num dimensions) (NUMERIC type)
    */
   public SDVariable standardDeviation(String name, SDVariable x, boolean biasCorrected,
-      boolean keepDims, int... dimensions) {
+                                      boolean keepDims, int... dimensions) {
     SDValidation.validateNumerical("standardDeviation", "x", x);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation(sd,x, biasCorrected, keepDims, dimensions).outputVariable();
@@ -4037,7 +4084,7 @@ public class SDBaseOps {
    * @return output reduced array of rank (input rank - num dimensions) (NUMERIC type)
    */
   public SDVariable standardDeviation(String name, SDVariable x, boolean biasCorrected,
-      int... dimensions) {
+                                      int... dimensions) {
     SDValidation.validateNumerical("standardDeviation", "x", x);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation(sd,x, biasCorrected, false, dimensions).outputVariable();
@@ -4066,7 +4113,7 @@ public class SDBaseOps {
    * @return output A subset of the input array (NUMERIC type)
    */
   public SDVariable stridedSlice(SDVariable in, long[] begin, long[] end, long[] strides,
-      int beginMask, int endMask, int ellipsisMask, int newAxisMask, int shrinkAxisMask) {
+                                 int beginMask, int endMask, int ellipsisMask, int newAxisMask, int shrinkAxisMask) {
     SDValidation.validateNumerical("stridedSlice", "in", in);
     Preconditions.checkArgument(begin.length >= 1, "begin has incorrect size/length. Expected: begin.length >= 1, got %s", begin.length);
     Preconditions.checkArgument(end.length >= 1, "end has incorrect size/length. Expected: end.length >= 1, got %s", end.length);
@@ -4097,8 +4144,8 @@ public class SDBaseOps {
    * @return output A subset of the input array (NUMERIC type)
    */
   public SDVariable stridedSlice(String name, SDVariable in, long[] begin, long[] end,
-      long[] strides, int beginMask, int endMask, int ellipsisMask, int newAxisMask,
-      int shrinkAxisMask) {
+                                 long[] strides, int beginMask, int endMask, int ellipsisMask, int newAxisMask,
+                                 int shrinkAxisMask) {
     SDValidation.validateNumerical("stridedSlice", "in", in);
     Preconditions.checkArgument(begin.length >= 1, "begin has incorrect size/length. Expected: begin.length >= 1, got %s", begin.length);
     Preconditions.checkArgument(end.length >= 1, "end has incorrect size/length. Expected: end.length >= 1, got %s", end.length);
@@ -4149,7 +4196,7 @@ public class SDBaseOps {
    * @return output A subset of the input array (NUMERIC type)
    */
   public SDVariable stridedSlice(String name, SDVariable in, long[] begin, long[] end,
-      long... strides) {
+                                 long... strides) {
     SDValidation.validateNumerical("stridedSlice", "in", in);
     Preconditions.checkArgument(begin.length >= 1, "begin has incorrect size/length. Expected: begin.length >= 1, got %s", begin.length);
     Preconditions.checkArgument(end.length >= 1, "end has incorrect size/length. Expected: end.length >= 1, got %s", end.length);
@@ -4283,7 +4330,7 @@ public class SDBaseOps {
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable tensorMmul(SDVariable x, SDVariable y, int[] dimensionsX, int[] dimensionsY,
-      boolean transposeX, boolean transposeY, boolean transposeZ) {
+                               boolean transposeX, boolean transposeY, boolean transposeZ) {
     SDValidation.validateNumerical("tensorMmul", "x", x);
     SDValidation.validateNumerical("tensorMmul", "y", y);
     Preconditions.checkArgument(dimensionsX.length >= 1, "dimensionsX has incorrect size/length. Expected: dimensionsX.length >= 1, got %s", dimensionsX.length);
@@ -4305,7 +4352,7 @@ public class SDBaseOps {
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable tensorMmul(String name, SDVariable x, SDVariable y, int[] dimensionsX,
-      int[] dimensionsY, boolean transposeX, boolean transposeY, boolean transposeZ) {
+                               int[] dimensionsY, boolean transposeX, boolean transposeY, boolean transposeZ) {
     SDValidation.validateNumerical("tensorMmul", "x", x);
     SDValidation.validateNumerical("tensorMmul", "y", y);
     Preconditions.checkArgument(dimensionsX.length >= 1, "dimensionsX has incorrect size/length. Expected: dimensionsX.length >= 1, got %s", dimensionsX.length);
@@ -4342,7 +4389,7 @@ public class SDBaseOps {
    * @return output Output variable (NUMERIC type)
    */
   public SDVariable tensorMmul(String name, SDVariable x, SDVariable y, int[] dimensionsX,
-      int... dimensionsY) {
+                               int... dimensionsY) {
     SDValidation.validateNumerical("tensorMmul", "x", x);
     SDValidation.validateNumerical("tensorMmul", "y", y);
     Preconditions.checkArgument(dimensionsX.length >= 1, "dimensionsX has incorrect size/length. Expected: dimensionsX.length >= 1, got %s", dimensionsX.length);
@@ -4475,7 +4522,7 @@ public class SDBaseOps {
    * @return output Unsorted segment output (NUMERIC type)
    */
   public SDVariable unsortedSegmentMax(String name, SDVariable data, SDVariable segmentIds,
-      int numSegments) {
+                                       int numSegments) {
     SDValidation.validateNumerical("unsortedSegmentMax", "data", data);
     SDValidation.validateNumerical("unsortedSegmentMax", "segmentIds", segmentIds);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax(sd,data, segmentIds, numSegments).outputVariable();
@@ -4514,7 +4561,7 @@ public class SDBaseOps {
    * @return output Unsorted segment output (NUMERIC type)
    */
   public SDVariable unsortedSegmentMean(String name, SDVariable data, SDVariable segmentIds,
-      int numSegments) {
+                                        int numSegments) {
     SDValidation.validateNumerical("unsortedSegmentMean", "data", data);
     SDValidation.validateNumerical("unsortedSegmentMean", "segmentIds", segmentIds);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean(sd,data, segmentIds, numSegments).outputVariable();
@@ -4553,7 +4600,7 @@ public class SDBaseOps {
    * @return output Unsorted segment output (NUMERIC type)
    */
   public SDVariable unsortedSegmentMin(String name, SDVariable data, SDVariable segmentIds,
-      int numSegments) {
+                                       int numSegments) {
     SDValidation.validateNumerical("unsortedSegmentMin", "data", data);
     SDValidation.validateNumerical("unsortedSegmentMin", "segmentIds", segmentIds);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin(sd,data, segmentIds, numSegments).outputVariable();
@@ -4592,7 +4639,7 @@ public class SDBaseOps {
    * @return output Unsorted segment output (NUMERIC type)
    */
   public SDVariable unsortedSegmentProd(String name, SDVariable data, SDVariable segmentIds,
-      int numSegments) {
+                                        int numSegments) {
     SDValidation.validateNumerical("unsortedSegmentProd", "data", data);
     SDValidation.validateNumerical("unsortedSegmentProd", "segmentIds", segmentIds);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd(sd,data, segmentIds, numSegments).outputVariable();
@@ -4629,7 +4676,7 @@ public class SDBaseOps {
    * @return output Unsorted segment output (NUMERIC type)
    */
   public SDVariable unsortedSegmentSqrtN(String name, SDVariable data, SDVariable segmentIds,
-      int numSegments) {
+                                         int numSegments) {
     SDValidation.validateNumerical("unsortedSegmentSqrtN", "data", data);
     SDValidation.validateNumerical("unsortedSegmentSqrtN", "segmentIds", segmentIds);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN(sd,data, segmentIds, numSegments).outputVariable();
@@ -4668,7 +4715,7 @@ public class SDBaseOps {
    * @return output Unsorted segment output (NUMERIC type)
    */
   public SDVariable unsortedSegmentSum(String name, SDVariable data, SDVariable segmentIds,
-      int numSegments) {
+                                       int numSegments) {
     SDValidation.validateNumerical("unsortedSegmentSum", "data", data);
     SDValidation.validateNumerical("unsortedSegmentSum", "segmentIds", segmentIds);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum(sd,data, segmentIds, numSegments).outputVariable();
@@ -4724,7 +4771,7 @@ public class SDBaseOps {
    * @return output reduced array of rank (input rank - num dimensions) (NUMERIC type)
    */
   public SDVariable variance(SDVariable x, boolean biasCorrected, boolean keepDims,
-      int... dimensions) {
+                             int... dimensions) {
     SDValidation.validateNumerical("variance", "x", x);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     return new org.nd4j.linalg.api.ops.impl.summarystats.Variance(sd,x, biasCorrected, keepDims, dimensions).outputVariable();
@@ -4748,7 +4795,7 @@ public class SDBaseOps {
    * @return output reduced array of rank (input rank - num dimensions) (NUMERIC type)
    */
   public SDVariable variance(String name, SDVariable x, boolean biasCorrected, boolean keepDims,
-      int... dimensions) {
+                             int... dimensions) {
     SDValidation.validateNumerical("variance", "x", x);
     Preconditions.checkArgument(dimensions.length >= 0, "dimensions has incorrect size/length. Expected: dimensions.length >= 0, got %s", dimensions.length);
     SDVariable out =  new org.nd4j.linalg.api.ops.impl.summarystats.Variance(sd,x, biasCorrected, keepDims, dimensions).outputVariable();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBitwise.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBitwise.java
index 96d794d09..00102c498 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBitwise.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBitwise.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDCNN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDCNN.java
index 29153feed..b89e4ec3c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDCNN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDCNN.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDImage.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDImage.java
index 1b930f5b6..6317e0941 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDImage.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDImage.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLinalg.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLinalg.java
index a8bd99515..2ddba4fcb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLinalg.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLinalg.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLoss.java
index 7d59cbc7e..c6fef378e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDLoss.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDMath.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDMath.java
index 20c5a58c0..5c3579396 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDMath.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDMath.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDNN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDNN.java
index 5aab76314..846291e47 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDNN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDNN.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDOps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDOps.java
index 536f98f89..060892ba8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDOps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDOps.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRNN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRNN.java
index 161e9adb4..4322910b4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRNN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRNN.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRandom.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRandom.java
index 0514e65b6..d57afe876 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRandom.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDRandom.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDValidation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDValidation.java
index 93999f0fe..ef47278ec 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDValidation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDValidation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/FlatBuffersMapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/FlatBuffersMapper.java
index 6253c700d..479feb01c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/FlatBuffersMapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/FlatBuffersMapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.serde;
 
@@ -826,6 +830,7 @@ public class FlatBuffersMapper {
         } else {
             dims = new int[0];
         }
+
         Map fnProps = node.propertiesForFunction();
         int[] flatProperties = FlatBuffersMapper.mapFunctionPropertiesToFlatProperties(bufferBuilder, fnProps);
         int propIdx = FlatNode.createPropertiesVector(bufferBuilder, flatProperties);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/LegacyOpMapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/LegacyOpMapper.java
index 52f39982b..44d255345 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/LegacyOpMapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/serde/LegacyOpMapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.serde;
 
@@ -66,9 +70,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.strict.*;
 import org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative;
 import org.nd4j.linalg.api.ops.random.impl.*;
 
-/**
- * This class maps legacy ops back to
- */
 public class LegacyOpMapper {
 
     private LegacyOpMapper() {
@@ -209,7 +210,7 @@ public class LegacyOpMapper {
         }
     }
 
-    public static Class transformSameOpClass(int opNum){
+    public static Class transformSameOpClass(int opNum) {
         switch (opNum){
             case 0:
                 return Abs.class;
@@ -225,12 +226,16 @@ public class LegacyOpMapper {
                 return Cube.class;
             case 7:
                 return OneMinus.class;
+            case 8:
+                return org.nd4j.linalg.api.ops.impl.transforms.same.Min.class;
             case 11:
                 return Reciprocal.class;
             case 12:
                 return Square.class;
             case 13:
                 return CompareAndSet.class;
+            case 15:
+                return FModOp.class;
             case 17:
                 return Ceil.class;
             case 18:
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/GraphTransformUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/GraphTransformUtil.java
index fde3988f4..1fa50dccd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/GraphTransformUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/GraphTransformUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.transform;
 
@@ -28,12 +32,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 
-/**
- * GraphTransformUtil provides a number of utility methods to modify graphs - replacing nodes and subgraphs, etc.
        
- * See the individual methods for futher details
- *
- * @author Alex Black
- */
 public class GraphTransformUtil {
 
     private GraphTransformUtil() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/OpPredicate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/OpPredicate.java
index 2b91300eb..13f161de6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/OpPredicate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/OpPredicate.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.transform;
 
 import org.nd4j.autodiff.functions.DifferentialFunction;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * An OpPredicate defines whether an operation ({@link DifferentialFunction}) matches or not.
        
- *
- * @author Alex Black
- */
 public abstract class OpPredicate {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraph.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraph.java
index 6514ee49e..4aad3ccce 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraph.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraph.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.transform;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphPredicate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphPredicate.java
index 51be8802b..30d6b00af 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphPredicate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphPredicate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.transform;
 
@@ -24,12 +28,6 @@ import org.nd4j.common.base.Preconditions;
 
 import java.util.*;
 
-/**
- * SubGraphPredicate defines a subgraph - a set of connected functions that are part of a SameDiff instance.
- *
- *
- * @author Alex Black
- */
 public class SubGraphPredicate extends OpPredicate {
 
     protected final OpPredicate root;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphProcessor.java
index 461b7717e..6b631f369 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/transform/SubGraphProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.samediff.transform;
 
@@ -21,13 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 
 import java.util.List;
 
-/**
- * SubGraphProcessor is used in {@link GraphTransformUtil} to define how a subgraph should be modified or replaced.
- * Note that when replacing a subgraph, the replacement subgraph must have the same number of outputs as the original subgraph.
- * Note that the order of the outputs matter.
- *
- * @author Alex Black
- */
 public interface SubGraphProcessor {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/util/SameDiffUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/util/SameDiffUtils.java
index a351a063b..560717ad8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/util/SameDiffUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/util/SameDiffUtils.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.autodiff.util;
@@ -32,9 +36,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import org.nd4j.linalg.exception.ND4JException;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Utilities for SameDiff training and inference
- */
 @NoArgsConstructor(access = AccessLevel.PRIVATE)
 public class SameDiffUtils {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/ActivationGradientCheckListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/ActivationGradientCheckListener.java
index 512082e7d..33b3fa006 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/ActivationGradientCheckListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/ActivationGradientCheckListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.validation;
 
 import lombok.Getter;
@@ -16,12 +36,6 @@ import java.util.List;
 import org.nd4j.linalg.api.ops.OpContext;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * A listener used for debugging and testing purposes - specifically for gradient checking activations internally in
- * {@link GradCheckUtil}. It probably isn't useful for anything outside of this.
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class ActivationGradientCheckListener extends BaseListener {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/GradCheckUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/GradCheckUtil.java
index e202d187c..52b04e910 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/GradCheckUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/GradCheckUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.validation;
 
@@ -37,11 +41,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.lang.reflect.Field;
 import java.util.*;
 
-/**
- * Gradient check utility
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class GradCheckUtil {
 
@@ -148,16 +147,16 @@ public class GradCheckUtil {
             listenerIdx = 0;
         } else {
             boolean found = false;
-            int i=0;
-            for(Listener l : listenersBefore){
-                if(l instanceof NonInplaceValidationListener){
+            int i = 0;
+            for(Listener l : listenersBefore) {
+                if(l instanceof NonInplaceValidationListener) {
                     found = true;
                     listenerIdx = i;
                     break;
                 }
                 i++;
             }
-            if(!found){
+            if(!found) {
                 sd.addListeners(new NonInplaceValidationListener());
                 listenerIdx = i;
             }
@@ -200,7 +199,7 @@ public class GradCheckUtil {
         int totalCount = 0;
         double maxError = 0.0;
         Random r = new Random(12345);
-        for(SDVariable s : sd.variables()){
+        for(SDVariable s : sd.variables()) {
             if (fnOutputs.contains(s.name()) || !s.dataType().isFPType()) {
                 //This is not an input to the graph, or is not a floating point input (so can't be gradient checked)
                 continue;
@@ -211,7 +210,7 @@ public class GradCheckUtil {
                 continue;
             }
 
-            if(s.dataType() != DataType.DOUBLE){
+            if(s.dataType() != DataType.DOUBLE) {
                 log.warn("DataType for variable {} is not double (is: {}) may cause precision issues in gradient checks", s.name(), s.dataType());
             }
 
@@ -223,7 +222,7 @@ public class GradCheckUtil {
             }
 
             Iterator iter;
-            if(maxPerParam > 0 && subset != null && maxPerParam < a.length()){
+            if(maxPerParam > 0 && subset != null && maxPerParam < a.length()) {
                 //Subset case
                 long[] shape = a.shape();
                 List l = new ArrayList<>();
@@ -244,7 +243,7 @@ public class GradCheckUtil {
                     //Every N
                     long everyN = n / maxPerParam;
                     long curr = 0;
-                    while(curr < n){
+                    while(curr < n) {
                         long[] pos = Shape.ind2subC(shape, curr);
                         l.add(pos);
                         curr += everyN;
@@ -263,8 +262,8 @@ public class GradCheckUtil {
                 Preconditions.checkState(varMask.dataType() == DataType.BOOL, "Variable \"%s\": Gradient check mask must be BOOLEAN datatype, got %s", s.name(), varMask.dataType());
             }
 
-            int i=0;
-            while(iter.hasNext()){
+            int i = 0;
+            while(iter.hasNext()) {
                 long[] idx = iter.next();
                 String strIdx = null;
                 if(print){
@@ -594,7 +593,7 @@ public class GradCheckUtil {
 
         Set varSetStr = new HashSet<>();
         for(SDVariable v : vars){
-            if(varSetStr.contains(v.name())){
+            if(varSetStr.contains(v.name())) {
                 throw new IllegalStateException("Variable with name " + v.name() + " already encountered");
             }
             varSetStr.add(v.name());
@@ -606,15 +605,15 @@ public class GradCheckUtil {
         Preconditions.checkState(dfs.length == ops.size(), "All functions not present in incomingArgsReverse");
         for(DifferentialFunction df : dfs){
             Preconditions.checkState(ops.containsKey(df.getOwnName()), df.getOwnName() + " not present in ops map");
-
-            List str = ops.get(df.getOwnName()).getInputsToOp();
+            SameDiffOp sameDiffOp = ops.get(df.getOwnName());
+            List str = sameDiffOp.getInputsToOp();
             if(str != null) {
                 for (String s : str) {
                     Preconditions.checkState(varSetStr.contains(s), "Variable " + s + " in op inputs not a known variable name");
                 }
             }
 
-            str = ops.get(df.getOwnName()).getOutputsOfOp();
+            str = sameDiffOp.getOutputsOfOp();
             if(str != null) {
                 for (String s : str) {
                     Preconditions.checkState(varSetStr.contains(s), "Variable " + s + " in op outputs not a known variable name");
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpTestCase.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpTestCase.java
index d401c8b66..153c7c5c5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpTestCase.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpTestCase.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.validation;
 
@@ -30,13 +34,6 @@ import java.util.HashMap;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * Validate the output - and shape function - of a single operation.
- * 
        
- * Used with {@link OpValidation}
- *
- * @author Alex Black
- */
 @Data
 @Accessors(fluent = true)
 public class OpTestCase {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpValidation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpValidation.java
index 38c7cbf07..627b9bdfe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpValidation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/OpValidation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.validation;
 
@@ -101,31 +105,6 @@ import java.lang.reflect.Modifier;
 import java.nio.ByteBuffer;
 import java.util.*;
 
-/**
- * Main test case runner for validating ops used in SameDiff.
        
- * This OpValidation class also collects test coverage information, to determine the op test coverage, for both
- * op outputs and gradients/backprop.
- * 

        
- * Two types of test cases are supported:
        
- * 1. {@link TestCase} - Can be used to check op outputs, as well as gradients
        
- * 2. {@link OpTestCase} - Used to check the output(s) of a single op only
        
- * 
        
- * NOTE: For the op coverage information to work properly for ND4J tests, we need the op validation to be run as part of
- * the OpValidationSuite test suite.  * Otherwise, we could report coverage information before all test have run -
- * underestimating coverage.
        
- * 
        
- * SINGLE OP TEST: OpValidation.validate(new OpTestCase(op).expectedOutputs(0, ))
- * - OpTestCase checks the output values of a single op, no backprop/gradients
        
- * - Returns an error message if op failed, or NULL if op passed
        
- * SAMEDIFF TEST:  OpValidation.validate(new TestCase(sameDiff).gradientCheck(true).expectedOutput("someVar", ))
        
- * - These tests can be used to check both gradients AND expected output, collecting coverage as required
        
- * - Returns an error message if op failed, or NULL if op passed
        
- * - Note gradientCheck(true) is the default
        
- * - Expected outputs are optional
        
- * - You can specify a function for validating the correctness of each output using {@link org.nd4j.autodiff.validation.TestCase#expected(String, Function)}
        
- *
- * @author Alex Black
- */
 @Slf4j
 public class OpValidation {
 
@@ -166,12 +145,12 @@ public class OpValidation {
 
         SameDiff sameDiff = testCase.sameDiff();
         List listeners = sameDiff.getListeners();
-        if(listeners.isEmpty()){
+        if(listeners.isEmpty()) {
             sameDiff.addListeners(new NonInplaceValidationListener());
         } else {
             boolean found = false;
             for(Listener l : listeners){
-                if(l instanceof NonInplaceValidationListener){
+                if(l instanceof NonInplaceValidationListener) {
                     found = true;
                     break;
                 }
@@ -212,7 +191,7 @@ public class OpValidation {
                     error = e.getValue().apply(actual);
                 } catch (Throwable t) {
                     throw new IllegalStateException("Error checking forward pass for variable \"" + e.getKey() + "\": exception was" +
-                            " thrown by foward pass validation function", t);
+                            " thrown by forward pass validation function", t);
                 }
 
                 if (error != null) {
@@ -262,7 +241,7 @@ public class OpValidation {
         List vars = original.variables();
         List varsDe = deserialized.variables();
         Preconditions.checkState(vars.size() == varsDe.size(), "Number of variables differs: expected %s, got %s", vars.size(), varsDe.size());
-        for( int i=0; i opsDeser = deserialized.getOps();
         Preconditions.checkState(opsOrig.keySet().equals(opsDeser.keySet()), "Op names differs: %s vs. %s", opsOrig.keySet(), opsDeser.keySet());
 
-        for(String s : opsOrig.keySet()){
+        for(String s : opsOrig.keySet()) {
             SameDiffOp orig = opsOrig.get(s);
             SameDiffOp des = opsDeser.get(s);
             Preconditions.checkState(orig.getName().equals(des.getName()), "Names differ: %s vs %s", orig.getName(), des.getName());
@@ -293,7 +272,7 @@ public class OpValidation {
             Preconditions.checkState((orig.getControlDepFor() == null) == (des.getControlDepFor() == null), "Op control dependencies for list differ: %s vs. %s", orig.getControlDepFor(), des.getControlDepFor());
             Preconditions.checkState(orig.getControlDepFor() == null || orig.getControlDepFor().equals(des.getControlDepFor()), "Op variable control dependencies differ: %s vs. %s", orig.getControlDepFor(), des.getControlDepFor());
 
-            Preconditions.checkState(orig.getOp().getClass() == des.getOp().getClass(), "Classes differ: %s v. %s", orig.getOp().getClass(), des.getOp().getClass());
+            Preconditions.checkState(orig.getOp().getClass().equals(des.getOp().getClass()), "Classes differ: %s v. %s", orig.getOp().getClass(), des.getOp().getClass());
         }
 
         //Check placeholders:
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/TestCase.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/TestCase.java
index 42b577055..f98b766a0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/TestCase.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/TestCase.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.validation;
 
@@ -30,15 +34,6 @@ import org.nd4j.common.function.Function;
 
 import java.util.*;
 
-/**
- * TestCase: Validate a SameDiff instance.
- * Can be used to validate gradients (enabled by default) and expected outputs (forward pass for variables) if such
- * outputs are provided.
- * 
        
- * Used with {@link OpValidation}
- *
- * @author Alex Black
- */
 @Data
 @Accessors(fluent = true)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/EqualityFn.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/EqualityFn.java
index a430d82a0..5b4714929 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/EqualityFn.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/EqualityFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.validation.functions;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/RelErrorFn.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/RelErrorFn.java
index 41ad47c74..5798c202c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/RelErrorFn.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/functions/RelErrorFn.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.validation.functions;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/listeners/NonInplaceValidationListener.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/listeners/NonInplaceValidationListener.java
index 23d4f974a..f5afa8b21 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/listeners/NonInplaceValidationListener.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/validation/listeners/NonInplaceValidationListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.autodiff.validation.listeners;
 
 import lombok.Getter;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/context/Nd4jContext.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/context/Nd4jContext.java
index 2a507fba4..3f1599391 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/context/Nd4jContext.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/context/Nd4jContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.context;
 
@@ -23,11 +27,6 @@ import java.io.InputStream;
 import java.io.Serializable;
 import java.util.Properties;
 
-/**
- * Holds properties for nd4j to be used across different modules
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class Nd4jContext implements Serializable {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/CellAct.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/CellAct.java
index f7f458ffd..8e6bca5b8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/CellAct.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/CellAct.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * Activations */
 public enum CellAct {
   TANH,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/DataFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/DataFormat.java
index c42795070..547b142aa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/DataFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/DataFormat.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * Data format: "NCHW" or "NHWC" */
 public enum DataFormat {
   NCHW,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/GateAct.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/GateAct.java
index 498f825fd..1e38b989e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/GateAct.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/GateAct.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * Activations */
 public enum GateAct {
   TANH,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/ImageResizeMethod.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/ImageResizeMethod.java
index 951e87fdc..ad8c82573 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/ImageResizeMethod.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/ImageResizeMethod.java
@@ -1,31 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * ResizeBilinear: Bilinear interpolation. If 'antialias' is true, becomes a hat/tent filter function with radius 1 when downsampling.
- * ResizeLanczos5: Lanczos kernel with radius 5. Very-high-quality filter but may have stronger ringing.
- * ResizeBicubic: Cubic interpolant of Keys. Equivalent to Catmull-Rom kernel. Reasonably good quality and faster than Lanczos3Kernel, particularly when upsampling.
- * ResizeGaussian: Gaussian kernel with radius 3, sigma = 1.5 / 3.0.
- * ResizeNearest: Nearest neighbor interpolation. 'antialias' has no effect when used with nearest neighbor interpolation.
- * ResizeArea: Anti-aliased resampling with area interpolation. 'antialias' has no effect when used with area interpolation; it always anti-aliases.
- * ResizeMitchelcubic: Mitchell-Netravali Cubic non-interpolating filter. For synthetic images (especially those lacking proper prefiltering), less ringing than Keys cubic kernel but less sharp. */
 public enum ImageResizeMethod {
   ResizeBilinear, // as java require
   ResizeNearest,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDataFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDataFormat.java
index cd8855b05..e72d1c50f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDataFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDataFormat.java
@@ -1,30 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * for unidirectional:
- *   TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as "time major"
        
- *   NST: shape [numExamples, inOutSize, timeLength]
        
- *   NTS: shape [numExamples, timeLength, inOutSize] - TF "time_major=false" layout
        
- *  for bidirectional:
- *    T2NS: 3 = [timeLength, 2, numExamples, inOutSize] (for ONNX) */
 public enum LSTMDataFormat {
   TNS,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDirectionMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDirectionMode.java
index 4732fc611..488bd567a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDirectionMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/LSTMDirectionMode.java
@@ -1,30 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * direction 
        
- *  FWD: 0 = fwd
- *  BWD: 1 = bwd
- *  BIDIR_SUM: 2 = bidirectional sum
- *  BIDIR_CONCAT: 3 = bidirectional concat
- *  BIDIR_EXTRA_DIM: 4 = bidirectional extra output dim (in conjunction with format dataFormat = 3) */
 public enum LSTMDirectionMode {
   FWD,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/OutAct.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/OutAct.java
index df034a294..162227778 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/OutAct.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/OutAct.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * Activations */
 public enum OutAct {
   TANH,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PadMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PadMode.java
index 4802ebdaf..dd17c9580 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PadMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PadMode.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PartitionMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PartitionMode.java
index 565ffd792..42f0df0b8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PartitionMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/PartitionMode.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/RnnDataFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/RnnDataFormat.java
index 8b6e2fbd6..5d5b5af4c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/RnnDataFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/RnnDataFormat.java
@@ -1,28 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- *  The data format of the input. Input shape depends on data format (in config):
        
- *  TNS -> [timeSteps, batchSize, inSize]
        
- *  NST -> [batchSize, inSize, timeSteps]
        
- *  NTS -> [batchSize, timeSteps, inSize]
         */
 public enum RnnDataFormat {
   TNS,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/WeightsFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/WeightsFormat.java
index 865d23282..500d43a9e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/WeightsFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/enums/WeightsFormat.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.enums;
 
-/**
- * Weights format: [kH, kW, iC, oC] or [oC, iC, kH, kW], or [oC, kH, kW, iC] */
 public enum WeightsFormat {
   YXIO,
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/BaseEvaluation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/BaseEvaluation.java
index 190acfa07..ba5c8ae78 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/BaseEvaluation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/BaseEvaluation.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation;
 
@@ -39,12 +42,6 @@ import java.io.Serializable;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * BaseEvaluation implement common evaluation functionality (for time series, etc) for {@link Evaluation},
- * {@link RegressionEvaluation}, {@link ROC}, {@link ROCMultiClass} etc.
- *
- * @author Alex Black
- */
 @EqualsAndHashCode
 public abstract class BaseEvaluation implements IEvaluation {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationAveraging.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationAveraging.java
index 7e6f65749..7f3c77ca5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationAveraging.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationAveraging.java
@@ -1,29 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation;
 
-/**
- * The averaging approach for binary valuation measures when applied to multiclass classification problems.
- * Macro averaging: weight each class equally
        
- * Micro averaging: weight each example equally
        
- * Generally, macro averaging is preferred for imbalanced datasets
- *
- * @author Alex Black
- */
 public enum EvaluationAveraging {
     Macro, Micro
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationUtils.java
index 765c6d5b8..5c083cebb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/EvaluationUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation;
 
@@ -23,11 +27,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Arrays;
 
-/**
- * Utility methods for performing evaluation
- *
- * @author Alex Black
- */
 public class EvaluationUtils {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IEvaluation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IEvaluation.java
index edb35a32b..d7eebeaae 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IEvaluation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IEvaluation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation;
 
@@ -23,12 +27,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 import java.io.Serializable;
 import java.util.List;
 
-/**
- * A general purpose interface for evaluating neural networks - methods are shared by implemetations such as
- * {@link Evaluation}, {@link RegressionEvaluation}, {@link ROC}, {@link ROCMultiClass}
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY)
 public interface IEvaluation extends Serializable {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IMetric.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IMetric.java
index dca00d47d..18161d0a1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IMetric.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/IMetric.java
@@ -1,26 +1,25 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.evaluation;
 
-/**
- * A metric used to get a double value from an {@link IEvaluation}.
- *
- * Examples: {@link org.nd4j.evaluation.classification.Evaluation.Metric#ACCURACY}, {@link org.nd4j.evaluation.classification.ROC.Metric#AUPRC}.
- */
 public interface IMetric {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ConfusionMatrix.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ConfusionMatrix.java
index 01fd322e2..502ad10c6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ConfusionMatrix.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ConfusionMatrix.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/Evaluation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/Evaluation.java
index b1df94fee..6634724d0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/Evaluation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/Evaluation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
@@ -45,39 +49,6 @@ import java.io.Serializable;
 import java.text.DecimalFormat;
 import java.util.*;
 
-/**
- * Evaluation metrics:
        
- * - precision, recall, f1, fBeta, accuracy, Matthews correlation coefficient, gMeasure
        
- * - Top N accuracy (if using constructor {@link #Evaluation(List, int)})
        
- * - Custom binary evaluation decision threshold (use constructor {@link #Evaluation(double)} (default if not set is
- *   argmax / 0.5)
        
- * - Custom cost array, using {@link #Evaluation(INDArray)} or {@link #Evaluation(List, INDArray)} for multi-class 
        
- * 
        
- * Note: Care should be taken when using the Evaluation class for binary classification metrics such as F1, precision,
- * recall, etc. There are a number of cases to consider:
        
- * 1. For binary classification (1 or 2 network outputs)
        
- *    a) Default behaviour: class 1 is assumed as the positive class. Consequently, no-arg methods such as {@link #f1()},
- *       {@link #precision()}, {@link #recall()} etc will report the binary metric for class 1 only
        
- *    b) To set class 0 as the positive class instead of class 1 (the default), use {@link #Evaluation(int, Integer)} or
- *       {@link #Evaluation(double, Integer)} or {@link #setBinaryPositiveClass(Integer)}. Then, {@link #f1()},
- *       {@link #precision()}, {@link #recall()} etc will report the binary metric for class 0 only.
        
- *    c) To use macro-averaged metrics over both classes for binary classification (uncommon and usually not advisable)
- *       specify 'null' as the argument (instead of 0 or 1) as per (b) above
        
- * 2. For multi-class classification, binary metric methods such as {@link #f1()}, {@link #precision()}, {@link #recall()}
- *    will report macro-average (of the one-vs-all) binary metrics. Note that you can specify micro vs. macro averaging
- *    using {@link #f1(EvaluationAveraging)} and similar methods
        
- * 
        
- * Note that setting a custom binary decision threshold is only possible for the binary case (1 or 2 outputs) and cannot
- * be used if the number of classes exceeds 2. Predictions with probability > threshold are considered to be class 1,
- * and are considered class 0 otherwise.
        
- * 
        
- * Cost arrays (a row vector, of size equal to the number of outputs) modify the evaluation process: instead of simply
- * doing predictedClass = argMax(probabilities), we do predictedClass = argMax(cost * probabilities). Consequently, an
- * array of all 1s (or, indeed any array of equal values) will result in the same performance as no cost array; non-
- * equal values will bias the predictions for or against certain classes.
- *
- * @author Adam Gibson
- */
 @Slf4j
 @EqualsAndHashCode(callSuper = true)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationBinary.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationBinary.java
index 00d2b9154..0e6d97186 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationBinary.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationBinary.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
@@ -41,21 +45,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * EvaluationBinary: used for evaluating networks with binary classification outputs. The typical classification metrics,
- * such as accuracy, precision, recall, F1 score, etc. are calculated for each output.
        
- * Note that {@link ROCBinary} is also used internally to calculate AUC for each output, but only when using an
- * appropriate constructor, {@link #EvaluationBinary(int, Integer)}
- * 
        
- * Note that EvaluationBinary supports both per-example and per-output masking.
        
- * EvaluationBinary by default uses a decision threshold of 0.5, however decision thresholds can be set on a per-output
- * basis using {@link #EvaluationBinary(INDArray)}.
- * 
        
- * The most common use case: multi-task networks, where each output is a binary value. This differs from {@link Evaluation}
- * in that {@link Evaluation} is for a single class (binary or non-binary) evaluation.
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 @EqualsAndHashCode(callSuper = true)
 @Data
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationCalibration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationCalibration.java
index a49fb94eb..29a6d9ea4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationCalibration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/EvaluationCalibration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
@@ -44,23 +48,6 @@ import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 import java.io.Serializable;
 import java.util.List;
 
-/**
- * EvaluationCalibration is an evaluation class designed to analyze the calibration of a classifier.
        
- * It provides a number of tools for this purpose:
- * - Counts of the number of labels and predictions for each class
        
- * - Reliability diagram (or reliability curve)
        
- * - Residual plot (histogram)
        
- * - Histograms of probabilities, including probabilities for each class separately
        
- *
        
- * References:
        
- * - Reliability diagram: see for example Niculescu-Mizil and Caruana 2005, Predicting Good Probabilities With
- * Supervised Learning
        
- * - Residual plot: see Wallace and Dahabreh 2012, Class Probability Estimates are Unreliable for Imbalanced Data
- * (and How to Fix Them)
        
- *
- *
- * @author Alex Black
- */
 @Getter
 @EqualsAndHashCode
 public class EvaluationCalibration extends BaseEvaluation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROC.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROC.java
index 259ea2206..ef1774210 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROC.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROC.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
@@ -51,26 +55,6 @@ import java.util.Map;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
-/**
- * ROC (Receiver Operating Characteristic) for binary classifiers.
        
- * ROC has 2 modes of operation:
- * (a) Thresholded (less memory)
        
- * (b) Exact (default; use numSteps == 0 to set. May not scale to very large datasets)
- * 
        
- * 
        
- * Thresholded Is an approximate method, that (for large datasets) may use significantly less memory than exact..
- * Whereas exact implementations will automatically calculate the threshold points based on the data set to give a
- * 'smoother' and more accurate  ROC curve (or optimal cut points for diagnostic purposes), thresholded uses fixed steps
- * of size 1.0 / thresholdSteps, as this allows easy implementation for batched and distributed evaluation scenarios (where the
- * full data set is not available in memory on any one machine at once).
- * Note that in some cases (very skewed probability predictions, for example) the threshold approach can be inaccurate,
- * often underestimating the true area.
- * 
        
- * The data is assumed to be binary classification - nColumns == 1 (single binary output variable) or nColumns == 2
- * (probability distribution over 2 classes, with column 1 being values for 'positive' examples)
- *
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true,
         exclude = {"auc", "auprc", "probAndLabel", "exactAllocBlockSize", "rocCurve", "prCurve", "axis"})
 @Data
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCBinary.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCBinary.java
index 73251e072..36f2862f4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCBinary.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCBinary.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
@@ -34,17 +38,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * ROC (Receiver Operating Characteristic) for multi-task binary classifiers.
- * As per {@link ROC}, ROCBinary supports both exact (thersholdSteps == 0) and thresholded; see {@link ROC} for details.
- * 
        
- * Unlike {@link ROC} (which supports a single binary label (as a single column probability, or 2 column 'softmax' probability
- * distribution), ROCBinary assumes that all outputs are independent binary variables. This also differs from
- * {@link ROCMultiClass}, which should be used for multi-class (single non-binary) cases.
- * 
        
- * ROCBinary supports per-example and per-output masking: for per-output masking, any particular output may be absent
- * (mask value 0) and hence won't be included in the calculated ROC.
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 public class ROCBinary extends BaseEvaluation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCMultiClass.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCMultiClass.java
index b173d4ced..24c15ce08 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCMultiClass.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/classification/ROCMultiClass.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.classification;
 
@@ -33,15 +37,6 @@ import java.io.Serializable;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * ROC (Receiver Operating Characteristic) for multi-class classifiers.
-  As per {@link ROC}, ROCBinary supports both exact (thersholdSteps == 0) and thresholded; see {@link ROC} for details.
- * 
        
- * The ROC curves are produced by treating the predictions as a set of one-vs-all classifiers, and then calculating
- * ROC curves for each. In practice, this means for N classes, we get N ROC curves.
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class ROCMultiClass extends BaseEvaluation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseCurve.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseCurve.java
index a5087388a..3ad33cac2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseCurve.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseCurve.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.curves;
 
@@ -22,11 +26,6 @@ import org.nd4j.shade.jackson.core.JsonProcessingException;
 
 import java.io.IOException;
 
-/**
- * Abstract class for ROC and Precision recall curves
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY)
 public abstract class BaseCurve {
     public static final int DEFAULT_FORMAT_PREC = 4;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseHistogram.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseHistogram.java
index e7ea24557..36ac34f00 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseHistogram.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/BaseHistogram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.curves;
 
@@ -22,9 +26,6 @@ import org.nd4j.shade.jackson.core.JsonProcessingException;
 
 import java.io.IOException;
 
-/**
- * Created by Alex on 06/07/2017.
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY)
 public abstract class BaseHistogram {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/Histogram.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/Histogram.java
index 07a0a2db3..45c1f5eca 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/Histogram.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/Histogram.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.curves;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * A simple histogram used in evaluation classes, such as {@link org.deeplearning4j.eval.EvaluationCalibration}
- *
- * @author Alex Black
- */
 @Data
 public class Histogram extends BaseHistogram {
     private final String title;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/PrecisionRecallCurve.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/PrecisionRecallCurve.java
index 9ca30f843..afea8ffc8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/PrecisionRecallCurve.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/PrecisionRecallCurve.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.curves;
 
@@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Arrays;
 
-/**
- * Precision recall curve: A set of (recall, precision) points and different thresholds
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(exclude = {"area"}, callSuper = false)
 public class PrecisionRecallCurve extends BaseCurve {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/ReliabilityDiagram.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/ReliabilityDiagram.java
index 7a9794f39..4929adc28 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/ReliabilityDiagram.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/ReliabilityDiagram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.curves;
 
@@ -20,9 +24,6 @@ import lombok.Getter;
 import lombok.NonNull;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Created by Alex on 05/07/2017.
- */
 @Getter
 public class ReliabilityDiagram extends BaseCurve {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/RocCurve.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/RocCurve.java
index 3ed813685..494e14555 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/RocCurve.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/curves/RocCurve.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.curves;
 
@@ -21,11 +25,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * ROC curve: a set of (false positive, true positive) tuples at different thresholds
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(exclude = {"auc"}, callSuper = false)
 public class RocCurve extends BaseCurve {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/CustomEvaluation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/CustomEvaluation.java
index 3e84b0f15..5978cba09 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/CustomEvaluation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/CustomEvaluation.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.evaluation.custom;
@@ -31,19 +35,6 @@ import org.nd4j.evaluation.IEvaluation;
 import org.nd4j.evaluation.IMetric;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A evaluation using lambdas to calculate the score.
- *
- * Uses 3 lambdas:
        
- *     EvaluationLambda: takes in the labels, predictions, mask, and metadata and returns a value of type T
        
- *     MergeLambda: takes in two lists of Ts, returns one.  Used in merging for distributed training
        
-*      ResultLambda (in Metric): takes a list of Ts, returns a double value
        
- *     
        
- * The EvaluationLambda will be called on each batch, and the results will be stored in a list.
- * MergeLambda merges two of those lists for distributed training (think Spark or Map-Reduce).
- * ResultLambda gets a score from that list.
- *
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class CustomEvaluation extends BaseEvaluation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/EvaluationLambda.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/EvaluationLambda.java
index 47eeb3918..f228354b6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/EvaluationLambda.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/EvaluationLambda.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.evaluation.custom;
@@ -21,10 +25,6 @@ import java.util.List;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A lambda used to get an evaluation result for a batch
- * See {@link CustomEvaluation}
- */
 public interface EvaluationLambda {
     public T eval(INDArray labels, INDArray networkPredictions, INDArray maskArray,
                   List recordMetaData);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/MergeLambda.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/MergeLambda.java
index 1a6ced62f..ee3a6966a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/MergeLambda.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/MergeLambda.java
@@ -1,27 +1,27 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.evaluation.custom;
 
 import java.util.List;
 
-/**
- * A lambda used to merge two lists of evaluation results
- * See {@link CustomEvaluation}
- */
 public interface MergeLambda {
     public List merge(List a, List b);
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/ResultLambda.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/ResultLambda.java
index 33e784175..722efa346 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/ResultLambda.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/custom/ResultLambda.java
@@ -1,27 +1,27 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.evaluation.custom;
 
 import java.util.List;
 
-/**
- * A lambda used to get a score from a list of evaluation results
- * See {@link CustomEvaluation}
- */
 public interface ResultLambda {
     public double toResult(List data);
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/meta/Prediction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/meta/Prediction.java
index f7d19d4ce..b6885819e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/meta/Prediction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/meta/Prediction.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.meta;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;
 
-/**
- * Prediction: a prediction for classification, used with the {@link org.deeplearning4j.eval.Evaluation} class.
- * Holds predicted and actual classes, along with an object for the example/record that produced this evaluation.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class Prediction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/regression/RegressionEvaluation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/regression/RegressionEvaluation.java
index 3444591f1..60fd53523 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/regression/RegressionEvaluation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/regression/RegressionEvaluation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.regression;
 
@@ -37,21 +41,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Evaluation method for the evaluation of regression algorithms.
        
- * Provides the following metrics, for each column:
        
- * - MSE: mean squared error
        
- * - MAE: mean absolute error
        
- * - RMSE: root mean squared error
        
- * - RSE: relative squared error
        
- * - PC: pearson correlation coefficient
        
- * - R^2: coefficient of determination
        
- * 
        
- * See for example: http://www.saedsayad.com/model_evaluation_r.htm
- * For classification, see {@link Evaluation}
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode(callSuper = true)
 public class RegressionEvaluation extends BaseEvaluation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixDeserializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixDeserializer.java
index 84e9f548c..bb9366ea3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixDeserializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.serde;
 
@@ -31,11 +35,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A JSON deserializer for {@code ConfusionMatrix} instances, used in {@link org.deeplearning4j.eval.Evaluation}
- *
- * @author Alex Black
- */
 public class ConfusionMatrixDeserializer extends JsonDeserializer> {
     @Override
     public ConfusionMatrix deserialize(JsonParser jp, DeserializationContext ctxt)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixSerializer.java
index a8f5c32e9..134b6213e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ConfusionMatrixSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.serde;
 
@@ -28,11 +32,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A JSON serializer for {@code ConfusionMatrix} instances, used in {@link org.deeplearning4j.eval.Evaluation}
- *
- * @author Alex Black
- */
 public class ConfusionMatrixSerializer extends JsonSerializer> {
     @Override
     public void serialize(ConfusionMatrix cm, JsonGenerator gen, SerializerProvider provider)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCArraySerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCArraySerializer.java
index 6687963b8..829a1aa30 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCArraySerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCArraySerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.serde;
 
@@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.databind.SerializerProvider;
 
 import java.io.IOException;
 
-/**
- * Custom Jackson serializer for ROC[]. Simply delegates to {@link ROCSerializer} internally.
- *
- * @author Alex Black
- */
 public class ROCArraySerializer extends JsonSerializer {
     private static final ROCSerializer serializer = new ROCSerializer();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCSerializer.java
index 331585ad4..ecdaa773d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/evaluation/serde/ROCSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.evaluation.serde;
 
@@ -24,14 +28,6 @@ import org.nd4j.shade.jackson.databind.jsontype.TypeSerializer;
 
 import java.io.IOException;
 
-/**
- * Custom Jackson serializer for ROC.
- * This is necessary to force calculation of the AUC and AUPRC metrics, so said metrics can be stored in the JSON;
- * this is important for exact ROC, as if it's not present at the time of serialization, it cannot be calculated later,
- * due to the underlying (very large) predictions no longer being present.
- *
- * @author Alex Black
- */
 public class ROCSerializer extends JsonSerializer {
     @Override
     public void serialize(ROC roc, JsonGenerator jsonGenerator, SerializerProvider serializerProvider)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ByteOrder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ByteOrder.java
index a4466cd3e..4ff668f64 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ByteOrder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ByteOrder.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/DType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/DType.java
index 8a316515a..3ae4f6d90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/DType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/DType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/Direction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/Direction.java
index 19b4abcb9..482ba2dc1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/Direction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/Direction.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ExecutionMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ExecutionMode.java
index a73f95904..42255d263 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ExecutionMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ExecutionMode.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArray.java
index 53ffe28f1..2d740a969 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArray.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArrayList.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArrayList.java
index 416fbb6d3..58ecf2714 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArrayList.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatArrayList.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatConfiguration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatConfiguration.java
index 46c71eb7f..8c341212c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatConfiguration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatConfiguration.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatDropRequest.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatDropRequest.java
index 8ec48d30f..47beaa2cb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatDropRequest.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatDropRequest.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatGraph.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatGraph.java
index 1f688c0be..b524ced0f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatGraph.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatGraph.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatInferenceRequest.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatInferenceRequest.java
index 033aa0ac3..83ad4b76f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatInferenceRequest.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatInferenceRequest.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatNode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatNode.java
index a0fff91f2..212116196 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatNode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatNode.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatProperties.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatProperties.java
index 73a99b78e..96ff452b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatProperties.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatProperties.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResponse.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResponse.java
index 762dbdffa..2490bf78c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResponse.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResponse.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResult.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResult.java
index 5e189828f..627e33c6a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResult.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatResult.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatTiming.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatTiming.java
index d6c96bf63..69623b4dc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatTiming.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatTiming.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatVariable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatVariable.java
index 0c3b38891..1c84b9bc2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatVariable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FlatVariable.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FrameIteration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FrameIteration.java
index 0de971dac..637793cbe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FrameIteration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/FrameIteration.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/InputType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/InputType.java
index e7f24596c..05910c613 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/InputType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/InputType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntPair.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntPair.java
index 3ce5f6f7e..3fc2ffd6e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntPair.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntPair.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntTriple.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntTriple.java
index 5cbabf235..903dc6538 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntTriple.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/IntTriple.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongPair.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongPair.java
index 298192d20..aac77cd34 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongPair.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongPair.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongTriple.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongTriple.java
index 5af926681..7312dd024 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongTriple.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/LongTriple.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpClass.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpClass.java
index 6fb7a5329..3a7d2c893 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpClass.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpClass.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpType.java
index 124afa6ce..4ab8789ec 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OpType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OutputMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OutputMode.java
index 387ee55ac..09547ebb6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OutputMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/OutputMode.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ProfilingMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ProfilingMode.java
index 87243a853..19f5de033 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ProfilingMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ProfilingMode.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIAddName.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIAddName.java
index 49b525e39..7bdd00d33 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIAddName.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIAddName.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEvent.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEvent.java
index b65959126..396ddd340 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEvent.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEvent.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventSubtype.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventSubtype.java
index bfc1d0ed5..69a328b21 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventSubtype.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventSubtype.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.graph;
 
 public final class UIEventSubtype {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventType.java
index c40071675..4af797e3d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIEventType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIGraphStructure.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIGraphStructure.java
index b50c022a0..b0fa9c616 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIGraphStructure.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIGraphStructure.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHardwareState.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHardwareState.java
index 598d4b268..13dc12a4c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHardwareState.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHardwareState.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogram.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogram.java
index 2d42082a2..d17d1348b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogram.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogram.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogramType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogramType.java
index 176f44124..aa0a798d3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogramType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIHistogramType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIInfoType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIInfoType.java
index e4bd259f0..38f50b7d1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIInfoType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIInfoType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIOp.java
index 83401ad0e..5987c3764 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIOp.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIStaticInfoRecord.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIStaticInfoRecord.java
index 1fde66998..25ffa9f09 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIStaticInfoRecord.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIStaticInfoRecord.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISummaryStatistics.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISummaryStatistics.java
index b3b3bee70..499cce769 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISummaryStatistics.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISummaryStatistics.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISystemInfo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISystemInfo.java
index 79fbeaad1..dc293777a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISystemInfo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UISystemInfo.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIVariable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIVariable.java
index e1c9ec083..a8a22de1b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIVariable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UIVariable.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UpdaterState.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UpdaterState.java
index 66b90bbce..026c3ffa1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UpdaterState.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/UpdaterState.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/VarType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/VarType.java
index 96500d233..f653b7348 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/VarType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/VarType.java
@@ -1,4 +1,22 @@
-// automatically generated by the FlatBuffers compiler, do not modify
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ui/LogFileWriter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ui/LogFileWriter.java
index 0a4284e46..b4e29c98e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ui/LogFileWriter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/graph/ui/LogFileWriter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.graph.ui;
 
@@ -48,39 +52,6 @@ import java.nio.channels.FileLock;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Log file writer - for writing append-only log file for UI etc.
- *
- * File format description: There are 2 blocks in the file
- * 1. The "static information" block - containing 0 or more static info frames, followed by a UIStaticInfoRecord
- *    with UIInfoType.START_EVENTS to signify the end of the "static information" section (start of events).
- * 2. The "events" block - containing 0 or more event frames
- *
- * Note that once the UIInfoType.START_EVENTS UIStaticInfoRecord marker has been written, no more static information
- * may be written; before this point, no event records may be written. This allows us to scan only the start of the
- * file to get 'static' information such as the graph structure and hardware information.
- *
- *
- * Data (for both sections) is recorded in "frames".
        
- * Each frame is formatted as follows:
        
- * [header_length_integer, content_length_integer, header_bytes, content_bytes]
        
- * These are as follows:
- * header_length_integer: a signed 32-bit integer representing the number of bytes of the header data (stored in the "header_bytes" section of the frame)
        
- * content_length_integer: a signed 32-bit integer representing the number of bytes of the content data (stored in the "content_bytes" section of the frame).
- *   May be 0 in some cases (such as when recording UIInfoType.START_EVENTS marker
        
- * header_bytes: flat-buffer encoded bytes representing either a UIStaticInfoRecord (in static information block) or a UIEvent (in the event block)
- *   In both cases, this header object encodes the typo of data that follows.
- * content_bytes: flat-buffer encoded bytes representing the content, of the type specified in the header
        
- * 
        
- * 
        
- *
- * To-do list:
        
- * * Implement recording of remaining event types
        
- * * Handle loading already existing files
        
- * *
- *
- * @author Alex Black
- */
 @Slf4j
 public class LogFileWriter {
     public enum EventSubtype {NONE, EVALUATION, LOSS, LEARNING_RATE, TUNING_METRIC, PERFORMANCE, PROFILING, FEATURE_LABEL, PREDICTION, USER_CUSTOM;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/NoOpNameFoundException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/NoOpNameFoundException.java
index 778d22cdf..9c00c0051 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/NoOpNameFoundException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/NoOpNameFoundException.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/VariableUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/VariableUtils.java
new file mode 100644
index 000000000..a5039b45d
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/VariableUtils.java
@@ -0,0 +1,41 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.imports;
+
+import lombok.val;
+
+public class VariableUtils {
+
+    /**
+     * Remove the ":1" etc suffix for a variable name to get the op name
+     *
+     * @param varName Variable name
+     * @return Variable name without any number suffix
+     */
+    public static String stripVarSuffix(String varName) {
+        if (varName.matches(".*:\\d+")) {
+            val idx = varName.lastIndexOf(':');
+            return varName.substring(0, idx);
+        }
+        return varName;
+    }
+
+
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/DifferentialFunctionClassHolder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/DifferentialFunctionClassHolder.java
index 3e7a75915..93e731576 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/DifferentialFunctionClassHolder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/DifferentialFunctionClassHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.converters;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/ImportClassMapping.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/ImportClassMapping.java
index 630b5986d..e6a00e01d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/ImportClassMapping.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/converters/ImportClassMapping.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.converters;
 
@@ -25,14 +29,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A simple helper class for defining the following mappings:
- * - Op name to op
- * - Tensorflow op name to op (for import)
- * - Onnx op name to op (for import)
- *
- * @author Alex Black
- */
 @Slf4j
 public class ImportClassMapping {
 
@@ -88,6 +84,7 @@ public class ImportClassMapping {
             org.nd4j.linalg.api.ops.impl.controlflow.Where.class,
             org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy.class,
             org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter.class,
+            org.nd4j.linalg.api.ops.impl.controlflow.compat.While.class,
             org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit.class,
             org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond.class,
             org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge.class,
@@ -100,6 +97,7 @@ public class ImportClassMapping {
             org.nd4j.linalg.api.ops.impl.image.ImageResize.class,
             org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression.class,
             org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3.class,
+            org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps.class,
             org.nd4j.linalg.api.ops.impl.image.ResizeBilinear.class,
             org.nd4j.linalg.api.ops.impl.image.ResizeBicubic.class,
             org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor.class,
@@ -300,6 +298,7 @@ public class ImportClassMapping {
             org.nd4j.linalg.api.ops.impl.shape.DiagPart.class,
             org.nd4j.linalg.api.ops.impl.shape.ExpandDims.class,
             org.nd4j.linalg.api.ops.impl.shape.Eye.class,
+            org.nd4j.linalg.api.ops.impl.shape.Flatten2D.class,
             org.nd4j.linalg.api.ops.impl.shape.Gather.class,
             org.nd4j.linalg.api.ops.impl.shape.GatherNd.class,
             org.nd4j.linalg.api.ops.impl.shape.Linspace.class,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptor.java
index c787f910f..1918025b4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.onnx;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptorParser.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptorParser.java
index 3ce862297..62f8ffc41 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptorParser.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OnnxDescriptorParser.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.onnx;
 
@@ -23,11 +27,6 @@ import java.io.InputStream;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Load all of the onnx op descriptors from the classpath.
- *
- * @author Adam Gibson
- */
 public class OnnxDescriptorParser {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OpDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OpDescriptor.java
index 6fb3bcf7e..9311a5931 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OpDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/OpDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.onnx;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/TensorDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/TensorDescriptor.java
index 9db75caf2..710197098 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/TensorDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/onnx/TensorDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.onnx;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/AttributeAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/AttributeAdapter.java
index a0785b21a..7cef2ea26 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/AttributeAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/AttributeAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties;
 
@@ -20,26 +24,6 @@ import org.nd4j.autodiff.functions.DifferentialFunction;
 
 import java.lang.reflect.Field;
 
-/**
- * Attribute adapter for taking an attribute with an input value
- * and mapping it to the proper output.
- * This is for a case where the output attribute type needs to be
- * adapted in some form to the field in samediff.
- *
- * A common example of this would be an array input trying to map to individual
- * fields in samediff.
- *
- * For example you have:
- * [1,2,3,4,5]
- *
- * A possible implementation of {@link #mapAttributeFor(Object, Field, DifferentialFunction)} could be:
- *  void mapAttributeFor(Object inputAttributeValue, Field fieldFor, DifferentialFunction on) {
- *      int[] inputArr = (int[]) inputAttributeValue;
- *      on.setValueFor(fieldFor,inputArr[1]);
- *  }
- *
- *  on.setValueFor(conversions.get(fieldFor),
- */
 public interface AttributeAdapter {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/PropertyMapping.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/PropertyMapping.java
index 5ca4346d0..a5a2390bb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/PropertyMapping.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/PropertyMapping.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/BooleanAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/BooleanAdapter.java
index 3b54eb0f4..602b0d184 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/BooleanAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/BooleanAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueIntIndexArrayAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueIntIndexArrayAdapter.java
index fa9f1b13c..c5f2350e0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueIntIndexArrayAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueIntIndexArrayAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueNDArrayShapeAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueNDArrayShapeAdapter.java
index 7d7b6aed7..b647afa03 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueNDArrayShapeAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/ConditionalFieldValueNDArrayShapeAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/DataTypeAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/DataTypeAdapter.java
index 27042cd47..2c3cdb373 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/DataTypeAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/DataTypeAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/IntArrayIntIndexAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/IntArrayIntIndexAdapter.java
new file mode 100644
index 000000000..67ac6f596
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/IntArrayIntIndexAdapter.java
@@ -0,0 +1,39 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.imports.descriptors.properties.adapters;
+
+import lombok.AllArgsConstructor;
+import org.nd4j.autodiff.functions.DifferentialFunction;
+import org.nd4j.imports.descriptors.properties.AttributeAdapter;
+
+import java.lang.reflect.Field;
+
+@AllArgsConstructor
+public class IntArrayIntIndexAdapter implements AttributeAdapter {
+    private int index;
+
+
+    @Override
+    public void mapAttributeFor(Object inputAttributeValue, Field fieldFor, DifferentialFunction on) {
+        int[] value = (int[]) inputAttributeValue;
+        on.setValueFor(fieldFor,value[index]);
+    }
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/IntArrayIntIndexAdpater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/IntArrayIntIndexAdpater.java
deleted file mode 100644
index 74f4c802e..000000000
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/IntArrayIntIndexAdpater.java
+++ /dev/null
@@ -1,35 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.imports.descriptors.properties.adapters;
-
-import lombok.AllArgsConstructor;
-import org.nd4j.autodiff.functions.DifferentialFunction;
-import org.nd4j.imports.descriptors.properties.AttributeAdapter;
-
-import java.lang.reflect.Field;
-
-@AllArgsConstructor
-public class IntArrayIntIndexAdpater implements AttributeAdapter {
-    private int index;
-
-
-    @Override
-    public void mapAttributeFor(Object inputAttributeValue, Field fieldFor, DifferentialFunction on) {
-        int[] value = (int[]) inputAttributeValue;
-        on.setValueFor(fieldFor,value[index]);
-    }
-}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/NDArrayShapeAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/NDArrayShapeAdapter.java
index 882d466f8..e38f1ca5e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/NDArrayShapeAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/NDArrayShapeAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/SizeThresholdIntArrayIntIndexAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/SizeThresholdIntArrayIntIndexAdapter.java
new file mode 100644
index 000000000..71d600922
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/SizeThresholdIntArrayIntIndexAdapter.java
@@ -0,0 +1,44 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.imports.descriptors.properties.adapters;
+
+import lombok.AllArgsConstructor;
+import org.nd4j.autodiff.functions.DifferentialFunction;
+import org.nd4j.imports.descriptors.properties.AttributeAdapter;
+
+import java.lang.reflect.Field;
+
+@AllArgsConstructor
+public class SizeThresholdIntArrayIntIndexAdapter implements AttributeAdapter {
+    private int index;
+    private int sizeThreshold;
+    private int fallbackIndex;
+
+
+    @Override
+    public void mapAttributeFor(Object inputAttributeValue, Field fieldFor, DifferentialFunction on) {
+        int[] value = (int[]) inputAttributeValue;
+        if(value.length < sizeThreshold)
+            on.setValueFor(fieldFor,value[fallbackIndex]);
+        else
+            on.setValueFor(fieldFor,value[index]);
+    }
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/SizeThresholdIntArrayIntIndexAdpater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/SizeThresholdIntArrayIntIndexAdpater.java
deleted file mode 100644
index c32d20c60..000000000
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/SizeThresholdIntArrayIntIndexAdpater.java
+++ /dev/null
@@ -1,40 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.imports.descriptors.properties.adapters;
-
-import lombok.AllArgsConstructor;
-import org.nd4j.autodiff.functions.DifferentialFunction;
-import org.nd4j.imports.descriptors.properties.AttributeAdapter;
-
-import java.lang.reflect.Field;
-
-@AllArgsConstructor
-public class SizeThresholdIntArrayIntIndexAdpater implements AttributeAdapter {
-    private int index;
-    private int sizeThreshold;
-    private int fallbackIndex;
-
-
-    @Override
-    public void mapAttributeFor(Object inputAttributeValue, Field fieldFor, DifferentialFunction on) {
-        int[] value = (int[]) inputAttributeValue;
-        if(value.length < sizeThreshold)
-            on.setValueFor(fieldFor,value[fallbackIndex]);
-        else
-            on.setValueFor(fieldFor,value[index]);
-    }
-}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringEqualsAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringEqualsAdapter.java
index 88b811c71..6264eb342 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringEqualsAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringEqualsAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
@@ -23,10 +27,6 @@ import org.nd4j.imports.descriptors.properties.AttributeAdapter;
 
 import java.lang.reflect.Field;
 
-/**
- * Comparison for whether a string equals a target string
- * returning a boolean
- */
 @AllArgsConstructor
 public class StringEqualsAdapter implements AttributeAdapter {
     private String compString;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringNotEqualsAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringNotEqualsAdapter.java
index 5ec6e8d21..13fdbfbca 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringNotEqualsAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/properties/adapters/StringNotEqualsAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.properties.adapters;
 
@@ -23,10 +27,6 @@ import org.nd4j.imports.descriptors.properties.AttributeAdapter;
 
 import java.lang.reflect.Field;
 
-/**
- * Comparison for whether a string not equals a target string
- * returning a boolean
- */
 @AllArgsConstructor
 public class StringNotEqualsAdapter implements AttributeAdapter {
     private String compString;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/tensorflow/TensorflowDescriptorParser.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/tensorflow/TensorflowDescriptorParser.java
index 0c9a3e128..47232cd14 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/tensorflow/TensorflowDescriptorParser.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/descriptors/tensorflow/TensorflowDescriptorParser.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.descriptors.tensorflow;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportFilter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportFilter.java
index 800032eac..220518ab8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportFilter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportFilter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.graphmapper;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportOverride.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportOverride.java
index e87033fd0..687ae14b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportOverride.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/OpImportOverride.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.graphmapper;
 
@@ -22,10 +26,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import java.util.List;
 import java.util.Map;
 
-/**
- * An interface for overriding the import of an operation
- * @author Alex Black
- */
 public interface OpImportOverride {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/TFGraphMapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/TFGraphMapper.java
index 7fc763190..de2323801 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/TFGraphMapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/TFGraphMapper.java
@@ -1,24 +1,29 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.imports.graphmapper.tf;
 
 import lombok.NonNull;
 import lombok.extern.slf4j.Slf4j;
 import lombok.val;
+import org.apache.commons.io.FileUtils;
 import org.apache.commons.io.IOUtils;
 import org.nd4j.autodiff.functions.DifferentialFunction;
 import org.nd4j.autodiff.samediff.SDVariable;
@@ -41,16 +46,12 @@ import org.nd4j.shade.guava.primitives.Ints;
 import org.nd4j.shade.protobuf.Message;
 import org.nd4j.shade.protobuf.TextFormat;
 import org.tensorflow.framework.*;
+import org.apache.commons.collections4.set.ListOrderedSet;
 
 import java.io.*;
 import java.nio.charset.StandardCharsets;
 import java.util.*;
 
-/**
- * Import a TensorFlow frozen graph in ProtoBuf (.pb) format, to SameDiff
- *
- * @author Alex Black
- */
 @Slf4j
 public class TFGraphMapper {
 
@@ -165,12 +166,17 @@ public class TFGraphMapper {
         If we can build the graph incrementally, we can make sure that the added variables are set up with the correct
         datatype and (once implemented) greedy shape inference
          */
+
+        List variablesAdded = new ArrayList<>();
+        List opsAdded = new ArrayList<>();
+        List opsImported = new ArrayList<>();
+        List opsRemoved = new ArrayList<>();
         Set availableToAddSet = new HashSet<>();            //TODO maybe unnecessary?
         Queue availableToAdd = new LinkedList<>();
 
         Map remainingNodes = new HashMap<>();          //All other nodes, not in availableToAdd
 
-        Map> nodeInputTo = new HashMap<>();     // For op x -> y, x is key, y is value. Note that these are OP names not VARIABLE names
+        Map> nodeInputTo = new HashMap<>();     // For op x -> y, x is key, y is value. Note that these are OP names not VARIABLE names
 
         int nNodes = tfGraph.getNodeCount();
 
@@ -193,8 +199,9 @@ public class TFGraphMapper {
                     inOpName = stripVarSuffix(inOpName);
 
                     if (!nodeInputTo.containsKey(inOpName)) {
-                        nodeInputTo.put(inOpName, new HashSet());
+                        nodeInputTo.put(inOpName, new ListOrderedSet());
                     }
+
                     nodeInputTo.get(inOpName).add(name);
                 }
             }
@@ -213,7 +220,7 @@ public class TFGraphMapper {
             availableToAddSet.remove(name);
 
             log.trace("Adding operation to graph: {} (name={})", opName, name);
-
+            opsAdded.add(opName + "," + name);
             boolean skipCase = false;
             if(opFilter != null && opFilter.skipOp(nd, sd, nd.getAttrMap(), tfGraph)){
                 log.debug("Skipping op {} of type {} due to op filter", name, opName);
@@ -257,7 +264,7 @@ public class TFGraphMapper {
                         }
 
 
-                        org.tensorflow.framework.DataType tfDtype = attrMap.get("dtype").getType();
+                        org.tensorflow.framework.DataType  tfDtype = attrMap.get("dtype").getType();
                         org.nd4j.linalg.api.buffer.DataType dt = convertType(tfDtype);
                         sd.placeHolder(name, dt, shape);
                     } else {
@@ -293,7 +300,7 @@ public class TFGraphMapper {
                             String origInName = nd.getInput(i);
                             String inName = stripControl(origInName);
 
-                            if(inName.endsWith(":0")){
+                            if(inName.endsWith(":0")) {
                                 //Strip ":0" suffix. Some ops can depend on placeholders, like "image_tensor:0" but in SameDiff this is a variable called "image_tensor"
                                 inName = inName.substring(0, inName.length()-2);
                             }
@@ -391,10 +398,12 @@ public class TFGraphMapper {
 
                             sd.getVariables().put(varName, outVars[i]);
                             log.trace("Added variable to graph: {} (output of op {})", varName, name);
+                            variablesAdded.add(varName + "," + name);
                         }
                         sd.getOps().get(name).setOutputsOfOp(outNames);
 
                         log.trace("Imported op: {} (name={})", opName, name);
+                        opsImported.add(opName + "," + name);
                     }
                 } else {
                     //Import override case
@@ -483,6 +492,7 @@ public class TFGraphMapper {
 
             //Finally, remove the just processed op from remainingNodes map:
             remainingNodes.remove(name);
+            opsRemoved.add(name);
         }
 
         //Post process the control dependencies, if any (done after because dependencies may not exist when imported)
@@ -510,7 +520,19 @@ public class TFGraphMapper {
         }
 
         Preconditions.checkState(remainingNodes.isEmpty(), "%s Unprocessed nodes: %s", remainingNodes.size(), remainingNodes.keySet());
+        try {
+            FileUtils.writeLines(new File("variables-added-old.txt"),variablesAdded);
+            FileUtils.writeLines(new File("ops-imported-old.txt"),opsImported);
+            FileUtils.writeLines(new File("ops-added-old.txt"),opsAdded);
+            FileUtils.writeLines(new File("ops-removed-old.txt"),opsRemoved);
 
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+        log.trace("Variables added " + variablesAdded);
+        log.trace("Ops imported " + opsImported);
+        log.trace("Ops added" + opsAdded);
+        log.trace("Ops removed " + opsRemoved);
         return sd;
     }
 
@@ -764,7 +786,7 @@ public class TFGraphMapper {
                             } else if (!setList.getBList().isEmpty()) {
                                 break;
                             } else if (!setList.getFList().isEmpty()) {
-                                val floats = Floats.toArray(setList.getFList());
+                                val floats = Floats.toArray((Collection) setList.getFList());
                                 if (adapter != null) {
                                     adapter.mapAttributeFor(floats, currentField, on);
                                 } else
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMapper.java
index e9d87b947..16f75542e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMapper.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.imports.graphmapper.tf.tensors;
 
 import org.nd4j.linalg.api.buffer.DataType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMappers.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMappers.java
index 11c1e3794..b8021c11c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMappers.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/imports/graphmapper/tf/tensors/TFTensorMappers.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.imports.graphmapper.tf.tensors;
 
 import org.bytedeco.javacpp.indexer.Bfloat16ArrayIndexer;
@@ -150,7 +170,7 @@ public class TFTensorMappers {
                 case VALUE_COUNT:
                     int n = valueCount();
                     T array = newArray(n);
-                    for( int i=0; i
- * - The path of the model file(s)
        
- * - The path of the model(s) that can't be imported due to missing ops
        
- * - The path of model files that couldn't be read for some reason (corrupt file?)
        
- * - The total number of ops in all graphs
        
- * - The number of unique ops in all graphs
        
- * - The (unique) names of all ops encountered in all graphs
        
- * - The (unique) names of all ops that were encountered, and can be imported, in all graphs
        
- * - The (unique) names of all ops that were encountered, and can NOT be imported (lacking import mapping)
        
- *
        
- * Note that an op is considered to be importable if has an import mapping specified for that op name in SameDiff.
        
- * This alone does not guarantee that the op can be imported successfully.
- *
- * @author Alex Black
- */
 @Slf4j
 public class TensorFlowImportValidator {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/MapperNamespace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/MapperNamespace.java
new file mode 100644
index 000000000..0f1f7d837
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/MapperNamespace.java
@@ -0,0 +1,8086 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: mapper.proto
+
+package org.nd4j.ir;
+
+public final class MapperNamespace {
+  private MapperNamespace() {}
+  public static void registerAllExtensions(
+      org.nd4j.shade.protobuf.ExtensionRegistryLite registry) {
+  }
+
+  public static void registerAllExtensions(
+      org.nd4j.shade.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions(
+        (org.nd4j.shade.protobuf.ExtensionRegistryLite) registry);
+  }
+  /**
+   * Protobuf enum {@code org.nd4j.ir.OpListType}
+   */
+  public enum OpListType
+      implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
+    /**
+     * TARG = 0;
+     */
+    TARG(0),
+    /**
+     * IARG = 1;
+     */
+    IARG(1),
+    /**
+     * BARG = 2;
+     */
+    BARG(2),
+    /**
+     * DTYPEARG = 3;
+     */
+    DTYPEARG(3),
+    /**
+     * INPUTARG = 4;
+     */
+    INPUTARG(4),
+    /**
+     * OUTPUTARG = 5;
+     */
+    OUTPUTARG(5),
+    /**
+     * AXISARG = 6;
+     */
+    AXISARG(6),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     * TARG = 0;
+     */
+    public static final int TARG_VALUE = 0;
+    /**
+     * IARG = 1;
+     */
+    public static final int IARG_VALUE = 1;
+    /**
+     * BARG = 2;
+     */
+    public static final int BARG_VALUE = 2;
+    /**
+     * DTYPEARG = 3;
+     */
+    public static final int DTYPEARG_VALUE = 3;
+    /**
+     * INPUTARG = 4;
+     */
+    public static final int INPUTARG_VALUE = 4;
+    /**
+     * OUTPUTARG = 5;
+     */
+    public static final int OUTPUTARG_VALUE = 5;
+    /**
+     * AXISARG = 6;
+     */
+    public static final int AXISARG_VALUE = 6;
+
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static OpListType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static OpListType forNumber(int value) {
+      switch (value) {
+        case 0: return TARG;
+        case 1: return IARG;
+        case 2: return BARG;
+        case 3: return DTYPEARG;
+        case 4: return INPUTARG;
+        case 5: return OUTPUTARG;
+        case 6: return AXISARG;
+        default: return null;
+      }
+    }
+
+    public static org.nd4j.shade.protobuf.Internal.EnumLiteMap
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+    private static final org.nd4j.shade.protobuf.Internal.EnumLiteMap<
+        OpListType> internalValueMap =
+          new org.nd4j.shade.protobuf.Internal.EnumLiteMap() {
+            public OpListType findValueByNumber(int number) {
+              return OpListType.forNumber(number);
+            }
+          };
+
+    public final org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor
+        getValueDescriptor() {
+      return getDescriptor().getValues().get(ordinal());
+    }
+    public final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+        getDescriptorForType() {
+      return getDescriptor();
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+        getDescriptor() {
+      return org.nd4j.ir.MapperNamespace.getDescriptor().getEnumTypes().get(0);
+    }
+
+    private static final OpListType[] VALUES = values();
+
+    public static OpListType valueOf(
+        org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException(
+          "EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private OpListType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:org.nd4j.ir.OpListType)
+  }
+
+  public interface MappingRuleOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.MappingRule)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * string ruleName = 1;
+     */
+    java.lang.String getRuleName();
+    /**
+     * string ruleName = 1;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getRuleNameBytes();
+
+    /**
+     * string functionName = 2;
+     */
+    java.lang.String getFunctionName();
+    /**
+     * string functionName = 2;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getFunctionNameBytes();
+
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    java.util.List
+        getInputStringAttrNameList();
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    int getInputStringAttrNameCount();
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    java.lang.String getInputStringAttrName(int index);
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputStringAttrNameBytes(int index);
+
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    java.util.List
+        getOutputStringAttrNameList();
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    int getOutputStringAttrNameCount();
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    java.lang.String getOutputStringAttrName(int index);
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputStringAttrNameBytes(int index);
+
+    /**
+     * repeated string inputIntName = 5;
+     */
+    java.util.List
+        getInputIntNameList();
+    /**
+     * repeated string inputIntName = 5;
+     */
+    int getInputIntNameCount();
+    /**
+     * repeated string inputIntName = 5;
+     */
+    java.lang.String getInputIntName(int index);
+    /**
+     * repeated string inputIntName = 5;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputIntNameBytes(int index);
+
+    /**
+     * repeated string outputIntName = 6;
+     */
+    java.util.List
+        getOutputIntNameList();
+    /**
+     * repeated string outputIntName = 6;
+     */
+    int getOutputIntNameCount();
+    /**
+     * repeated string outputIntName = 6;
+     */
+    java.lang.String getOutputIntName(int index);
+    /**
+     * repeated string outputIntName = 6;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputIntNameBytes(int index);
+
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    java.util.List
+        getInputFloatNameList();
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    int getInputFloatNameCount();
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    java.lang.String getInputFloatName(int index);
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputFloatNameBytes(int index);
+
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    java.util.List
+        getOutputFloatNameList();
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    int getOutputFloatNameCount();
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    java.lang.String getOutputFloatName(int index);
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputFloatNameBytes(int index);
+
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    java.util.List
+        getInputDoubleNameList();
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    int getInputDoubleNameCount();
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    java.lang.String getInputDoubleName(int index);
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputDoubleNameBytes(int index);
+
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    java.util.List
+        getOutputDoubleNameList();
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    int getOutputDoubleNameCount();
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    java.lang.String getOutputDoubleName(int index);
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputDoubleNameBytes(int index);
+
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    java.util.List
+        getInputBooleanNameList();
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    int getInputBooleanNameCount();
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    java.lang.String getInputBooleanName(int index);
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputBooleanNameBytes(int index);
+
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    java.util.List
+        getOutputBooleanNameList();
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    int getOutputBooleanNameCount();
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    java.lang.String getOutputBooleanName(int index);
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputBooleanNameBytes(int index);
+
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    java.util.List
+        getInputTensorNameList();
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    int getInputTensorNameCount();
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    java.lang.String getInputTensorName(int index);
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputTensorNameBytes(int index);
+
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    java.util.List
+        getOutputTensorNameList();
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    int getOutputTensorNameCount();
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    java.lang.String getOutputTensorName(int index);
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputTensorNameBytes(int index);
+
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    java.util.List
+        getInputDataTypeNameList();
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    int getInputDataTypeNameCount();
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    java.lang.String getInputDataTypeName(int index);
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputDataTypeNameBytes(int index);
+
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    java.util.List
+        getOutputDataTypeNameList();
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    int getOutputDataTypeNameCount();
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    java.lang.String getOutputDataTypeName(int index);
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOutputDataTypeNameBytes(int index);
+
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+    int getInputToOutputCount();
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+    boolean containsInputToOutput(
+        java.lang.String key);
+    /**
+     * Use {@link #getInputToOutputMap()} instead.
+     */
+    @java.lang.Deprecated
+    java.util.Map
+    getInputToOutput();
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+    java.util.Map
+    getInputToOutputMap();
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+
+    java.lang.String getInputToOutputOrDefault(
+        java.lang.String key,
+        java.lang.String defaultValue);
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+
+    java.lang.String getInputToOutputOrThrow(
+        java.lang.String key);
+
+    /**
+     * string ruleType = 18;
+     */
+    java.lang.String getRuleType();
+    /**
+     * string ruleType = 18;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getRuleTypeBytes();
+
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    java.util.List 
+        getTransformerArgsList();
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    org.nd4j.ir.MapperNamespace.TransformerArgs getTransformerArgs(int index);
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    int getTransformerArgsCount();
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    java.util.List 
+        getTransformerArgsOrBuilderList();
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder getTransformerArgsOrBuilder(
+        int index);
+
+    /**
+     * string inputFrameworkOpName = 20;
+     */
+    java.lang.String getInputFrameworkOpName();
+    /**
+     * string inputFrameworkOpName = 20;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputFrameworkOpNameBytes();
+  }
+  /**
+   * Protobuf type {@code org.nd4j.ir.MappingRule}
+   */
+  public  static final class MappingRule extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.MappingRule)
+      MappingRuleOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use MappingRule.newBuilder() to construct.
+    private MappingRule(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private MappingRule() {
+      ruleName_ = "";
+      functionName_ = "";
+      inputStringAttrName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputStringAttrName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      inputIntName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputIntName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      inputFloatName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputFloatName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      inputDoubleName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputDoubleName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      inputBooleanName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputBooleanName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      inputTensorName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputTensorName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      inputDataTypeName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      outputDataTypeName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      ruleType_ = "";
+      transformerArgs_ = java.util.Collections.emptyList();
+      inputFrameworkOpName_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new MappingRule();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private MappingRule(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              ruleName_ = s;
+              break;
+            }
+            case 18: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              functionName_ = s;
+              break;
+            }
+            case 26: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                inputStringAttrName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              inputStringAttrName_.add(s);
+              break;
+            }
+            case 34: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                outputStringAttrName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              outputStringAttrName_.add(s);
+              break;
+            }
+            case 42: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                inputIntName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              inputIntName_.add(s);
+              break;
+            }
+            case 50: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                outputIntName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              outputIntName_.add(s);
+              break;
+            }
+            case 58: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                inputFloatName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              inputFloatName_.add(s);
+              break;
+            }
+            case 66: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000020) != 0)) {
+                outputFloatName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000020;
+              }
+              outputFloatName_.add(s);
+              break;
+            }
+            case 74: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000040) != 0)) {
+                inputDoubleName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000040;
+              }
+              inputDoubleName_.add(s);
+              break;
+            }
+            case 82: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000080) != 0)) {
+                outputDoubleName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000080;
+              }
+              outputDoubleName_.add(s);
+              break;
+            }
+            case 90: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000100) != 0)) {
+                inputBooleanName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000100;
+              }
+              inputBooleanName_.add(s);
+              break;
+            }
+            case 98: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000200) != 0)) {
+                outputBooleanName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000200;
+              }
+              outputBooleanName_.add(s);
+              break;
+            }
+            case 106: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000400) != 0)) {
+                inputTensorName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000400;
+              }
+              inputTensorName_.add(s);
+              break;
+            }
+            case 114: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000800) != 0)) {
+                outputTensorName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000800;
+              }
+              outputTensorName_.add(s);
+              break;
+            }
+            case 122: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00001000) != 0)) {
+                inputDataTypeName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00001000;
+              }
+              inputDataTypeName_.add(s);
+              break;
+            }
+            case 130: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00002000) != 0)) {
+                outputDataTypeName_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00002000;
+              }
+              outputDataTypeName_.add(s);
+              break;
+            }
+            case 138: {
+              if (!((mutable_bitField0_ & 0x00004000) != 0)) {
+                inputToOutput_ = org.nd4j.shade.protobuf.MapField.newMapField(
+                    InputToOutputDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00004000;
+              }
+              org.nd4j.shade.protobuf.MapEntry
+              inputToOutput__ = input.readMessage(
+                  InputToOutputDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              inputToOutput_.getMutableMap().put(
+                  inputToOutput__.getKey(), inputToOutput__.getValue());
+              break;
+            }
+            case 146: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              ruleType_ = s;
+              break;
+            }
+            case 154: {
+              if (!((mutable_bitField0_ & 0x00008000) != 0)) {
+                transformerArgs_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00008000;
+              }
+              transformerArgs_.add(
+                  input.readMessage(org.nd4j.ir.MapperNamespace.TransformerArgs.parser(), extensionRegistry));
+              break;
+            }
+            case 162: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              inputFrameworkOpName_ = s;
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          inputStringAttrName_ = inputStringAttrName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000002) != 0)) {
+          outputStringAttrName_ = outputStringAttrName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000004) != 0)) {
+          inputIntName_ = inputIntName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000008) != 0)) {
+          outputIntName_ = outputIntName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000010) != 0)) {
+          inputFloatName_ = inputFloatName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000020) != 0)) {
+          outputFloatName_ = outputFloatName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000040) != 0)) {
+          inputDoubleName_ = inputDoubleName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000080) != 0)) {
+          outputDoubleName_ = outputDoubleName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000100) != 0)) {
+          inputBooleanName_ = inputBooleanName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000200) != 0)) {
+          outputBooleanName_ = outputBooleanName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000400) != 0)) {
+          inputTensorName_ = inputTensorName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00000800) != 0)) {
+          outputTensorName_ = outputTensorName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00001000) != 0)) {
+          inputDataTypeName_ = inputDataTypeName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00002000) != 0)) {
+          outputDataTypeName_ = outputDataTypeName_.getUnmodifiableView();
+        }
+        if (((mutable_bitField0_ & 0x00008000) != 0)) {
+          transformerArgs_ = java.util.Collections.unmodifiableList(transformerArgs_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingRule_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.MapField internalGetMapField(
+        int number) {
+      switch (number) {
+        case 17:
+          return internalGetInputToOutput();
+        default:
+          throw new RuntimeException(
+              "Invalid map field number: " + number);
+      }
+    }
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingRule_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.MapperNamespace.MappingRule.class, org.nd4j.ir.MapperNamespace.MappingRule.Builder.class);
+    }
+
+    public static final int RULENAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object ruleName_;
+    /**
+     * string ruleName = 1;
+     */
+    public java.lang.String getRuleName() {
+      java.lang.Object ref = ruleName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        ruleName_ = s;
+        return s;
+      }
+    }
+    /**
+     * string ruleName = 1;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getRuleNameBytes() {
+      java.lang.Object ref = ruleName_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        ruleName_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int FUNCTIONNAME_FIELD_NUMBER = 2;
+    private volatile java.lang.Object functionName_;
+    /**
+     * string functionName = 2;
+     */
+    public java.lang.String getFunctionName() {
+      java.lang.Object ref = functionName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        functionName_ = s;
+        return s;
+      }
+    }
+    /**
+     * string functionName = 2;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getFunctionNameBytes() {
+      java.lang.Object ref = functionName_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        functionName_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int INPUTSTRINGATTRNAME_FIELD_NUMBER = 3;
+    private org.nd4j.shade.protobuf.LazyStringList inputStringAttrName_;
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputStringAttrNameList() {
+      return inputStringAttrName_;
+    }
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    public int getInputStringAttrNameCount() {
+      return inputStringAttrName_.size();
+    }
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    public java.lang.String getInputStringAttrName(int index) {
+      return inputStringAttrName_.get(index);
+    }
+    /**
+     * repeated string inputStringAttrName = 3;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputStringAttrNameBytes(int index) {
+      return inputStringAttrName_.getByteString(index);
+    }
+
+    public static final int OUTPUTSTRINGATTRNAME_FIELD_NUMBER = 4;
+    private org.nd4j.shade.protobuf.LazyStringList outputStringAttrName_;
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputStringAttrNameList() {
+      return outputStringAttrName_;
+    }
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    public int getOutputStringAttrNameCount() {
+      return outputStringAttrName_.size();
+    }
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    public java.lang.String getOutputStringAttrName(int index) {
+      return outputStringAttrName_.get(index);
+    }
+    /**
+     * repeated string outputStringAttrName = 4;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputStringAttrNameBytes(int index) {
+      return outputStringAttrName_.getByteString(index);
+    }
+
+    public static final int INPUTINTNAME_FIELD_NUMBER = 5;
+    private org.nd4j.shade.protobuf.LazyStringList inputIntName_;
+    /**
+     * repeated string inputIntName = 5;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputIntNameList() {
+      return inputIntName_;
+    }
+    /**
+     * repeated string inputIntName = 5;
+     */
+    public int getInputIntNameCount() {
+      return inputIntName_.size();
+    }
+    /**
+     * repeated string inputIntName = 5;
+     */
+    public java.lang.String getInputIntName(int index) {
+      return inputIntName_.get(index);
+    }
+    /**
+     * repeated string inputIntName = 5;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputIntNameBytes(int index) {
+      return inputIntName_.getByteString(index);
+    }
+
+    public static final int OUTPUTINTNAME_FIELD_NUMBER = 6;
+    private org.nd4j.shade.protobuf.LazyStringList outputIntName_;
+    /**
+     * repeated string outputIntName = 6;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputIntNameList() {
+      return outputIntName_;
+    }
+    /**
+     * repeated string outputIntName = 6;
+     */
+    public int getOutputIntNameCount() {
+      return outputIntName_.size();
+    }
+    /**
+     * repeated string outputIntName = 6;
+     */
+    public java.lang.String getOutputIntName(int index) {
+      return outputIntName_.get(index);
+    }
+    /**
+     * repeated string outputIntName = 6;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputIntNameBytes(int index) {
+      return outputIntName_.getByteString(index);
+    }
+
+    public static final int INPUTFLOATNAME_FIELD_NUMBER = 7;
+    private org.nd4j.shade.protobuf.LazyStringList inputFloatName_;
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputFloatNameList() {
+      return inputFloatName_;
+    }
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    public int getInputFloatNameCount() {
+      return inputFloatName_.size();
+    }
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    public java.lang.String getInputFloatName(int index) {
+      return inputFloatName_.get(index);
+    }
+    /**
+     * repeated string inputFloatName = 7;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputFloatNameBytes(int index) {
+      return inputFloatName_.getByteString(index);
+    }
+
+    public static final int OUTPUTFLOATNAME_FIELD_NUMBER = 8;
+    private org.nd4j.shade.protobuf.LazyStringList outputFloatName_;
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputFloatNameList() {
+      return outputFloatName_;
+    }
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    public int getOutputFloatNameCount() {
+      return outputFloatName_.size();
+    }
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    public java.lang.String getOutputFloatName(int index) {
+      return outputFloatName_.get(index);
+    }
+    /**
+     * repeated string outputFloatName = 8;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputFloatNameBytes(int index) {
+      return outputFloatName_.getByteString(index);
+    }
+
+    public static final int INPUTDOUBLENAME_FIELD_NUMBER = 9;
+    private org.nd4j.shade.protobuf.LazyStringList inputDoubleName_;
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputDoubleNameList() {
+      return inputDoubleName_;
+    }
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    public int getInputDoubleNameCount() {
+      return inputDoubleName_.size();
+    }
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    public java.lang.String getInputDoubleName(int index) {
+      return inputDoubleName_.get(index);
+    }
+    /**
+     * repeated string inputDoubleName = 9;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputDoubleNameBytes(int index) {
+      return inputDoubleName_.getByteString(index);
+    }
+
+    public static final int OUTPUTDOUBLENAME_FIELD_NUMBER = 10;
+    private org.nd4j.shade.protobuf.LazyStringList outputDoubleName_;
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputDoubleNameList() {
+      return outputDoubleName_;
+    }
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    public int getOutputDoubleNameCount() {
+      return outputDoubleName_.size();
+    }
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    public java.lang.String getOutputDoubleName(int index) {
+      return outputDoubleName_.get(index);
+    }
+    /**
+     * repeated string outputDoubleName = 10;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputDoubleNameBytes(int index) {
+      return outputDoubleName_.getByteString(index);
+    }
+
+    public static final int INPUTBOOLEANNAME_FIELD_NUMBER = 11;
+    private org.nd4j.shade.protobuf.LazyStringList inputBooleanName_;
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputBooleanNameList() {
+      return inputBooleanName_;
+    }
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    public int getInputBooleanNameCount() {
+      return inputBooleanName_.size();
+    }
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    public java.lang.String getInputBooleanName(int index) {
+      return inputBooleanName_.get(index);
+    }
+    /**
+     * repeated string inputBooleanName = 11;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputBooleanNameBytes(int index) {
+      return inputBooleanName_.getByteString(index);
+    }
+
+    public static final int OUTPUTBOOLEANNAME_FIELD_NUMBER = 12;
+    private org.nd4j.shade.protobuf.LazyStringList outputBooleanName_;
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputBooleanNameList() {
+      return outputBooleanName_;
+    }
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    public int getOutputBooleanNameCount() {
+      return outputBooleanName_.size();
+    }
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    public java.lang.String getOutputBooleanName(int index) {
+      return outputBooleanName_.get(index);
+    }
+    /**
+     * repeated string outputBooleanName = 12;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputBooleanNameBytes(int index) {
+      return outputBooleanName_.getByteString(index);
+    }
+
+    public static final int INPUTTENSORNAME_FIELD_NUMBER = 13;
+    private org.nd4j.shade.protobuf.LazyStringList inputTensorName_;
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputTensorNameList() {
+      return inputTensorName_;
+    }
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    public int getInputTensorNameCount() {
+      return inputTensorName_.size();
+    }
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    public java.lang.String getInputTensorName(int index) {
+      return inputTensorName_.get(index);
+    }
+    /**
+     * repeated string inputTensorName = 13;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputTensorNameBytes(int index) {
+      return inputTensorName_.getByteString(index);
+    }
+
+    public static final int OUTPUTTENSORNAME_FIELD_NUMBER = 14;
+    private org.nd4j.shade.protobuf.LazyStringList outputTensorName_;
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputTensorNameList() {
+      return outputTensorName_;
+    }
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    public int getOutputTensorNameCount() {
+      return outputTensorName_.size();
+    }
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    public java.lang.String getOutputTensorName(int index) {
+      return outputTensorName_.get(index);
+    }
+    /**
+     * repeated string outputTensorName = 14;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputTensorNameBytes(int index) {
+      return outputTensorName_.getByteString(index);
+    }
+
+    public static final int INPUTDATATYPENAME_FIELD_NUMBER = 15;
+    private org.nd4j.shade.protobuf.LazyStringList inputDataTypeName_;
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getInputDataTypeNameList() {
+      return inputDataTypeName_;
+    }
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    public int getInputDataTypeNameCount() {
+      return inputDataTypeName_.size();
+    }
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    public java.lang.String getInputDataTypeName(int index) {
+      return inputDataTypeName_.get(index);
+    }
+    /**
+     * repeated string inputDataTypeName = 15;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputDataTypeNameBytes(int index) {
+      return inputDataTypeName_.getByteString(index);
+    }
+
+    public static final int OUTPUTDATATYPENAME_FIELD_NUMBER = 16;
+    private org.nd4j.shade.protobuf.LazyStringList outputDataTypeName_;
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getOutputDataTypeNameList() {
+      return outputDataTypeName_;
+    }
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    public int getOutputDataTypeNameCount() {
+      return outputDataTypeName_.size();
+    }
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    public java.lang.String getOutputDataTypeName(int index) {
+      return outputDataTypeName_.get(index);
+    }
+    /**
+     * repeated string outputDataTypeName = 16;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOutputDataTypeNameBytes(int index) {
+      return outputDataTypeName_.getByteString(index);
+    }
+
+    public static final int INPUTTOOUTPUT_FIELD_NUMBER = 17;
+    private static final class InputToOutputDefaultEntryHolder {
+      static final org.nd4j.shade.protobuf.MapEntry<
+          java.lang.String, java.lang.String> defaultEntry =
+              org.nd4j.shade.protobuf.MapEntry
+              .newDefaultInstance(
+                  org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingRule_InputToOutputEntry_descriptor, 
+                  org.nd4j.shade.protobuf.WireFormat.FieldType.STRING,
+                  "",
+                  org.nd4j.shade.protobuf.WireFormat.FieldType.STRING,
+                  "");
+    }
+    private org.nd4j.shade.protobuf.MapField<
+        java.lang.String, java.lang.String> inputToOutput_;
+    private org.nd4j.shade.protobuf.MapField
+    internalGetInputToOutput() {
+      if (inputToOutput_ == null) {
+        return org.nd4j.shade.protobuf.MapField.emptyMapField(
+            InputToOutputDefaultEntryHolder.defaultEntry);
+      }
+      return inputToOutput_;
+    }
+
+    public int getInputToOutputCount() {
+      return internalGetInputToOutput().getMap().size();
+    }
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+
+    public boolean containsInputToOutput(
+        java.lang.String key) {
+      if (key == null) { throw new java.lang.NullPointerException(); }
+      return internalGetInputToOutput().getMap().containsKey(key);
+    }
+    /**
+     * Use {@link #getInputToOutputMap()} instead.
+     */
+    @java.lang.Deprecated
+    public java.util.Map getInputToOutput() {
+      return getInputToOutputMap();
+    }
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+
+    public java.util.Map getInputToOutputMap() {
+      return internalGetInputToOutput().getMap();
+    }
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+
+    public java.lang.String getInputToOutputOrDefault(
+        java.lang.String key,
+        java.lang.String defaultValue) {
+      if (key == null) { throw new java.lang.NullPointerException(); }
+      java.util.Map map =
+          internalGetInputToOutput().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     * map<string, string> inputToOutput = 17;
+     */
+
+    public java.lang.String getInputToOutputOrThrow(
+        java.lang.String key) {
+      if (key == null) { throw new java.lang.NullPointerException(); }
+      java.util.Map map =
+          internalGetInputToOutput().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public static final int RULETYPE_FIELD_NUMBER = 18;
+    private volatile java.lang.Object ruleType_;
+    /**
+     * string ruleType = 18;
+     */
+    public java.lang.String getRuleType() {
+      java.lang.Object ref = ruleType_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        ruleType_ = s;
+        return s;
+      }
+    }
+    /**
+     * string ruleType = 18;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getRuleTypeBytes() {
+      java.lang.Object ref = ruleType_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        ruleType_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int TRANSFORMERARGS_FIELD_NUMBER = 19;
+    private java.util.List transformerArgs_;
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    public java.util.List getTransformerArgsList() {
+      return transformerArgs_;
+    }
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    public java.util.List 
+        getTransformerArgsOrBuilderList() {
+      return transformerArgs_;
+    }
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    public int getTransformerArgsCount() {
+      return transformerArgs_.size();
+    }
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    public org.nd4j.ir.MapperNamespace.TransformerArgs getTransformerArgs(int index) {
+      return transformerArgs_.get(index);
+    }
+    /**
+     * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+     */
+    public org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder getTransformerArgsOrBuilder(
+        int index) {
+      return transformerArgs_.get(index);
+    }
+
+    public static final int INPUTFRAMEWORKOPNAME_FIELD_NUMBER = 20;
+    private volatile java.lang.Object inputFrameworkOpName_;
+    /**
+     * string inputFrameworkOpName = 20;
+     */
+    public java.lang.String getInputFrameworkOpName() {
+      java.lang.Object ref = inputFrameworkOpName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        inputFrameworkOpName_ = s;
+        return s;
+      }
+    }
+    /**
+     * string inputFrameworkOpName = 20;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputFrameworkOpNameBytes() {
+      java.lang.Object ref = inputFrameworkOpName_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        inputFrameworkOpName_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      if (!getRuleNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, ruleName_);
+      }
+      if (!getFunctionNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, functionName_);
+      }
+      for (int i = 0; i < inputStringAttrName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 3, inputStringAttrName_.getRaw(i));
+      }
+      for (int i = 0; i < outputStringAttrName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 4, outputStringAttrName_.getRaw(i));
+      }
+      for (int i = 0; i < inputIntName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 5, inputIntName_.getRaw(i));
+      }
+      for (int i = 0; i < outputIntName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 6, outputIntName_.getRaw(i));
+      }
+      for (int i = 0; i < inputFloatName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 7, inputFloatName_.getRaw(i));
+      }
+      for (int i = 0; i < outputFloatName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 8, outputFloatName_.getRaw(i));
+      }
+      for (int i = 0; i < inputDoubleName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 9, inputDoubleName_.getRaw(i));
+      }
+      for (int i = 0; i < outputDoubleName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 10, outputDoubleName_.getRaw(i));
+      }
+      for (int i = 0; i < inputBooleanName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 11, inputBooleanName_.getRaw(i));
+      }
+      for (int i = 0; i < outputBooleanName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 12, outputBooleanName_.getRaw(i));
+      }
+      for (int i = 0; i < inputTensorName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 13, inputTensorName_.getRaw(i));
+      }
+      for (int i = 0; i < outputTensorName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 14, outputTensorName_.getRaw(i));
+      }
+      for (int i = 0; i < inputDataTypeName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 15, inputDataTypeName_.getRaw(i));
+      }
+      for (int i = 0; i < outputDataTypeName_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 16, outputDataTypeName_.getRaw(i));
+      }
+      org.nd4j.shade.protobuf.GeneratedMessageV3
+        .serializeStringMapTo(
+          output,
+          internalGetInputToOutput(),
+          InputToOutputDefaultEntryHolder.defaultEntry,
+          17);
+      if (!getRuleTypeBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 18, ruleType_);
+      }
+      for (int i = 0; i < transformerArgs_.size(); i++) {
+        output.writeMessage(19, transformerArgs_.get(i));
+      }
+      if (!getInputFrameworkOpNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 20, inputFrameworkOpName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getRuleNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, ruleName_);
+      }
+      if (!getFunctionNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(2, functionName_);
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputStringAttrName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputStringAttrName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputStringAttrNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputStringAttrName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputStringAttrName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getOutputStringAttrNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputIntName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputIntName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputIntNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputIntName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputIntName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getOutputIntNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputFloatName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputFloatName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputFloatNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputFloatName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputFloatName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getOutputFloatNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputDoubleName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputDoubleName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputDoubleNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputDoubleName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputDoubleName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getOutputDoubleNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputBooleanName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputBooleanName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputBooleanNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputBooleanName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputBooleanName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getOutputBooleanNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputTensorName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputTensorName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputTensorNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputTensorName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputTensorName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getOutputTensorNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < inputDataTypeName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(inputDataTypeName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getInputDataTypeNameList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < outputDataTypeName_.size(); i++) {
+          dataSize += computeStringSizeNoTag(outputDataTypeName_.getRaw(i));
+        }
+        size += dataSize;
+        size += 2 * getOutputDataTypeNameList().size();
+      }
+      for (java.util.Map.Entry entry
+           : internalGetInputToOutput().getMap().entrySet()) {
+        org.nd4j.shade.protobuf.MapEntry
+        inputToOutput__ = InputToOutputDefaultEntryHolder.defaultEntry.newBuilderForType()
+            .setKey(entry.getKey())
+            .setValue(entry.getValue())
+            .build();
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeMessageSize(17, inputToOutput__);
+      }
+      if (!getRuleTypeBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(18, ruleType_);
+      }
+      for (int i = 0; i < transformerArgs_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(19, transformerArgs_.get(i));
+      }
+      if (!getInputFrameworkOpNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(20, inputFrameworkOpName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.MapperNamespace.MappingRule)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.MapperNamespace.MappingRule other = (org.nd4j.ir.MapperNamespace.MappingRule) obj;
+
+      if (!getRuleName()
+          .equals(other.getRuleName())) return false;
+      if (!getFunctionName()
+          .equals(other.getFunctionName())) return false;
+      if (!getInputStringAttrNameList()
+          .equals(other.getInputStringAttrNameList())) return false;
+      if (!getOutputStringAttrNameList()
+          .equals(other.getOutputStringAttrNameList())) return false;
+      if (!getInputIntNameList()
+          .equals(other.getInputIntNameList())) return false;
+      if (!getOutputIntNameList()
+          .equals(other.getOutputIntNameList())) return false;
+      if (!getInputFloatNameList()
+          .equals(other.getInputFloatNameList())) return false;
+      if (!getOutputFloatNameList()
+          .equals(other.getOutputFloatNameList())) return false;
+      if (!getInputDoubleNameList()
+          .equals(other.getInputDoubleNameList())) return false;
+      if (!getOutputDoubleNameList()
+          .equals(other.getOutputDoubleNameList())) return false;
+      if (!getInputBooleanNameList()
+          .equals(other.getInputBooleanNameList())) return false;
+      if (!getOutputBooleanNameList()
+          .equals(other.getOutputBooleanNameList())) return false;
+      if (!getInputTensorNameList()
+          .equals(other.getInputTensorNameList())) return false;
+      if (!getOutputTensorNameList()
+          .equals(other.getOutputTensorNameList())) return false;
+      if (!getInputDataTypeNameList()
+          .equals(other.getInputDataTypeNameList())) return false;
+      if (!getOutputDataTypeNameList()
+          .equals(other.getOutputDataTypeNameList())) return false;
+      if (!internalGetInputToOutput().equals(
+          other.internalGetInputToOutput())) return false;
+      if (!getRuleType()
+          .equals(other.getRuleType())) return false;
+      if (!getTransformerArgsList()
+          .equals(other.getTransformerArgsList())) return false;
+      if (!getInputFrameworkOpName()
+          .equals(other.getInputFrameworkOpName())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + RULENAME_FIELD_NUMBER;
+      hash = (53 * hash) + getRuleName().hashCode();
+      hash = (37 * hash) + FUNCTIONNAME_FIELD_NUMBER;
+      hash = (53 * hash) + getFunctionName().hashCode();
+      if (getInputStringAttrNameCount() > 0) {
+        hash = (37 * hash) + INPUTSTRINGATTRNAME_FIELD_NUMBER;
+        hash = (53 * hash) + getInputStringAttrNameList().hashCode();
+      }
+      if (getOutputStringAttrNameCount() > 0) {
+        hash = (37 * hash) + OUTPUTSTRINGATTRNAME_FIELD_NUMBER;
+        hash = (53 * hash) + getOutputStringAttrNameList().hashCode();
+      }
+      if (getInputIntNameCount() > 0) {
+        hash = (37 * hash) + INPUTINTNAME_FIELD_NUMBER;
+        hash = (53 * hash) + getInputIntNameList().hashCode();
+      }
+      if (getOutputIntNameCount() > 0) {
+        hash = (37 * hash) + OUTPUTINTNAME_FIELD_NUMBER;
+        hash = (53 * hash) + getOutputIntNameList().hashCode();
+      }
+      if (getInputFloatNameCount() > 0) {
+        hash = (37 * hash) + INPUTFLOATNAME_FIELD_NUMBER;
+        hash = (53 * hash) + getInputFloatNameList().hashCode();
+      }
+      if (getOutputFloatNameCount() > 0) {
+        hash = (37 * hash) + OUTPUTFLOATNAME_FIELD_NUMBER;
+        hash = (53 * hash) + getOutputFloatNameList().hashCode();
+      }
+      if (getInputDoubleNameCount() > 0) {
+        hash = (37 * hash) + INPUTDOUBLENAME_FIELD_NUMBER;
+        hash = (53 * hash) + getInputDoubleNameList().hashCode();
+      }
+      if (getOutputDoubleNameCount() > 0) {
+        hash = (37 * hash) + OUTPUTDOUBLENAME_FIELD_NUMBER;
+        hash = (53 * hash) + getOutputDoubleNameList().hashCode();
+      }
+      if (getInputBooleanNameCount() > 0) {
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+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.MapperNamespace.MappingRule parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.MapperNamespace.MappingRule) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.lang.Object ruleName_ = "";
+      /**
+       * string ruleName = 1;
+       */
+      public java.lang.String getRuleName() {
+        java.lang.Object ref = ruleName_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          ruleName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string ruleName = 1;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getRuleNameBytes() {
+        java.lang.Object ref = ruleName_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          ruleName_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string ruleName = 1;
+       */
+      public Builder setRuleName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        ruleName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string ruleName = 1;
+       */
+      public Builder clearRuleName() {
+        
+        ruleName_ = getDefaultInstance().getRuleName();
+        onChanged();
+        return this;
+      }
+      /**
+       * string ruleName = 1;
+       */
+      public Builder setRuleNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        ruleName_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object functionName_ = "";
+      /**
+       * string functionName = 2;
+       */
+      public java.lang.String getFunctionName() {
+        java.lang.Object ref = functionName_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          functionName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string functionName = 2;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getFunctionNameBytes() {
+        java.lang.Object ref = functionName_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          functionName_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string functionName = 2;
+       */
+      public Builder setFunctionName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        functionName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string functionName = 2;
+       */
+      public Builder clearFunctionName() {
+        
+        functionName_ = getDefaultInstance().getFunctionName();
+        onChanged();
+        return this;
+      }
+      /**
+       * string functionName = 2;
+       */
+      public Builder setFunctionNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        functionName_ = value;
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputStringAttrName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputStringAttrNameIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          inputStringAttrName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputStringAttrName_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputStringAttrNameList() {
+        return inputStringAttrName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public int getInputStringAttrNameCount() {
+        return inputStringAttrName_.size();
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public java.lang.String getInputStringAttrName(int index) {
+        return inputStringAttrName_.get(index);
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputStringAttrNameBytes(int index) {
+        return inputStringAttrName_.getByteString(index);
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public Builder setInputStringAttrName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputStringAttrNameIsMutable();
+        inputStringAttrName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public Builder addInputStringAttrName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputStringAttrNameIsMutable();
+        inputStringAttrName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public Builder addAllInputStringAttrName(
+          java.lang.Iterable values) {
+        ensureInputStringAttrNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputStringAttrName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public Builder clearInputStringAttrName() {
+        inputStringAttrName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputStringAttrName = 3;
+       */
+      public Builder addInputStringAttrNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputStringAttrNameIsMutable();
+        inputStringAttrName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputStringAttrName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputStringAttrNameIsMutable() {
+        if (!((bitField0_ & 0x00000002) != 0)) {
+          outputStringAttrName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputStringAttrName_);
+          bitField0_ |= 0x00000002;
+         }
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputStringAttrNameList() {
+        return outputStringAttrName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public int getOutputStringAttrNameCount() {
+        return outputStringAttrName_.size();
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public java.lang.String getOutputStringAttrName(int index) {
+        return outputStringAttrName_.get(index);
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputStringAttrNameBytes(int index) {
+        return outputStringAttrName_.getByteString(index);
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public Builder setOutputStringAttrName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputStringAttrNameIsMutable();
+        outputStringAttrName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public Builder addOutputStringAttrName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputStringAttrNameIsMutable();
+        outputStringAttrName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public Builder addAllOutputStringAttrName(
+          java.lang.Iterable values) {
+        ensureOutputStringAttrNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputStringAttrName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public Builder clearOutputStringAttrName() {
+        outputStringAttrName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputStringAttrName = 4;
+       */
+      public Builder addOutputStringAttrNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputStringAttrNameIsMutable();
+        outputStringAttrName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputIntName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputIntNameIsMutable() {
+        if (!((bitField0_ & 0x00000004) != 0)) {
+          inputIntName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputIntName_);
+          bitField0_ |= 0x00000004;
+         }
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputIntNameList() {
+        return inputIntName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public int getInputIntNameCount() {
+        return inputIntName_.size();
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public java.lang.String getInputIntName(int index) {
+        return inputIntName_.get(index);
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputIntNameBytes(int index) {
+        return inputIntName_.getByteString(index);
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public Builder setInputIntName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputIntNameIsMutable();
+        inputIntName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public Builder addInputIntName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputIntNameIsMutable();
+        inputIntName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public Builder addAllInputIntName(
+          java.lang.Iterable values) {
+        ensureInputIntNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputIntName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public Builder clearInputIntName() {
+        inputIntName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000004);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputIntName = 5;
+       */
+      public Builder addInputIntNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputIntNameIsMutable();
+        inputIntName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputIntName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputIntNameIsMutable() {
+        if (!((bitField0_ & 0x00000008) != 0)) {
+          outputIntName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputIntName_);
+          bitField0_ |= 0x00000008;
+         }
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputIntNameList() {
+        return outputIntName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public int getOutputIntNameCount() {
+        return outputIntName_.size();
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public java.lang.String getOutputIntName(int index) {
+        return outputIntName_.get(index);
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputIntNameBytes(int index) {
+        return outputIntName_.getByteString(index);
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public Builder setOutputIntName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputIntNameIsMutable();
+        outputIntName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public Builder addOutputIntName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputIntNameIsMutable();
+        outputIntName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public Builder addAllOutputIntName(
+          java.lang.Iterable values) {
+        ensureOutputIntNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputIntName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public Builder clearOutputIntName() {
+        outputIntName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000008);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputIntName = 6;
+       */
+      public Builder addOutputIntNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputIntNameIsMutable();
+        outputIntName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputFloatName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputFloatNameIsMutable() {
+        if (!((bitField0_ & 0x00000010) != 0)) {
+          inputFloatName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputFloatName_);
+          bitField0_ |= 0x00000010;
+         }
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputFloatNameList() {
+        return inputFloatName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public int getInputFloatNameCount() {
+        return inputFloatName_.size();
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public java.lang.String getInputFloatName(int index) {
+        return inputFloatName_.get(index);
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputFloatNameBytes(int index) {
+        return inputFloatName_.getByteString(index);
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public Builder setInputFloatName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputFloatNameIsMutable();
+        inputFloatName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public Builder addInputFloatName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputFloatNameIsMutable();
+        inputFloatName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public Builder addAllInputFloatName(
+          java.lang.Iterable values) {
+        ensureInputFloatNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputFloatName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public Builder clearInputFloatName() {
+        inputFloatName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000010);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputFloatName = 7;
+       */
+      public Builder addInputFloatNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputFloatNameIsMutable();
+        inputFloatName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputFloatName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputFloatNameIsMutable() {
+        if (!((bitField0_ & 0x00000020) != 0)) {
+          outputFloatName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputFloatName_);
+          bitField0_ |= 0x00000020;
+         }
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputFloatNameList() {
+        return outputFloatName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public int getOutputFloatNameCount() {
+        return outputFloatName_.size();
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public java.lang.String getOutputFloatName(int index) {
+        return outputFloatName_.get(index);
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputFloatNameBytes(int index) {
+        return outputFloatName_.getByteString(index);
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public Builder setOutputFloatName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputFloatNameIsMutable();
+        outputFloatName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public Builder addOutputFloatName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputFloatNameIsMutable();
+        outputFloatName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public Builder addAllOutputFloatName(
+          java.lang.Iterable values) {
+        ensureOutputFloatNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputFloatName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public Builder clearOutputFloatName() {
+        outputFloatName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000020);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputFloatName = 8;
+       */
+      public Builder addOutputFloatNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputFloatNameIsMutable();
+        outputFloatName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputDoubleName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputDoubleNameIsMutable() {
+        if (!((bitField0_ & 0x00000040) != 0)) {
+          inputDoubleName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputDoubleName_);
+          bitField0_ |= 0x00000040;
+         }
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputDoubleNameList() {
+        return inputDoubleName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public int getInputDoubleNameCount() {
+        return inputDoubleName_.size();
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public java.lang.String getInputDoubleName(int index) {
+        return inputDoubleName_.get(index);
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputDoubleNameBytes(int index) {
+        return inputDoubleName_.getByteString(index);
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public Builder setInputDoubleName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputDoubleNameIsMutable();
+        inputDoubleName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public Builder addInputDoubleName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputDoubleNameIsMutable();
+        inputDoubleName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public Builder addAllInputDoubleName(
+          java.lang.Iterable values) {
+        ensureInputDoubleNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputDoubleName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public Builder clearInputDoubleName() {
+        inputDoubleName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000040);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDoubleName = 9;
+       */
+      public Builder addInputDoubleNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputDoubleNameIsMutable();
+        inputDoubleName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputDoubleName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputDoubleNameIsMutable() {
+        if (!((bitField0_ & 0x00000080) != 0)) {
+          outputDoubleName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputDoubleName_);
+          bitField0_ |= 0x00000080;
+         }
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputDoubleNameList() {
+        return outputDoubleName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public int getOutputDoubleNameCount() {
+        return outputDoubleName_.size();
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public java.lang.String getOutputDoubleName(int index) {
+        return outputDoubleName_.get(index);
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputDoubleNameBytes(int index) {
+        return outputDoubleName_.getByteString(index);
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public Builder setOutputDoubleName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputDoubleNameIsMutable();
+        outputDoubleName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public Builder addOutputDoubleName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputDoubleNameIsMutable();
+        outputDoubleName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public Builder addAllOutputDoubleName(
+          java.lang.Iterable values) {
+        ensureOutputDoubleNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputDoubleName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public Builder clearOutputDoubleName() {
+        outputDoubleName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000080);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDoubleName = 10;
+       */
+      public Builder addOutputDoubleNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputDoubleNameIsMutable();
+        outputDoubleName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputBooleanName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputBooleanNameIsMutable() {
+        if (!((bitField0_ & 0x00000100) != 0)) {
+          inputBooleanName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputBooleanName_);
+          bitField0_ |= 0x00000100;
+         }
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputBooleanNameList() {
+        return inputBooleanName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public int getInputBooleanNameCount() {
+        return inputBooleanName_.size();
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public java.lang.String getInputBooleanName(int index) {
+        return inputBooleanName_.get(index);
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputBooleanNameBytes(int index) {
+        return inputBooleanName_.getByteString(index);
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public Builder setInputBooleanName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputBooleanNameIsMutable();
+        inputBooleanName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public Builder addInputBooleanName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputBooleanNameIsMutable();
+        inputBooleanName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public Builder addAllInputBooleanName(
+          java.lang.Iterable values) {
+        ensureInputBooleanNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputBooleanName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public Builder clearInputBooleanName() {
+        inputBooleanName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000100);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputBooleanName = 11;
+       */
+      public Builder addInputBooleanNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputBooleanNameIsMutable();
+        inputBooleanName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputBooleanName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputBooleanNameIsMutable() {
+        if (!((bitField0_ & 0x00000200) != 0)) {
+          outputBooleanName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputBooleanName_);
+          bitField0_ |= 0x00000200;
+         }
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputBooleanNameList() {
+        return outputBooleanName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public int getOutputBooleanNameCount() {
+        return outputBooleanName_.size();
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public java.lang.String getOutputBooleanName(int index) {
+        return outputBooleanName_.get(index);
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputBooleanNameBytes(int index) {
+        return outputBooleanName_.getByteString(index);
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public Builder setOutputBooleanName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputBooleanNameIsMutable();
+        outputBooleanName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public Builder addOutputBooleanName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputBooleanNameIsMutable();
+        outputBooleanName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public Builder addAllOutputBooleanName(
+          java.lang.Iterable values) {
+        ensureOutputBooleanNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputBooleanName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public Builder clearOutputBooleanName() {
+        outputBooleanName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000200);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputBooleanName = 12;
+       */
+      public Builder addOutputBooleanNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputBooleanNameIsMutable();
+        outputBooleanName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputTensorName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputTensorNameIsMutable() {
+        if (!((bitField0_ & 0x00000400) != 0)) {
+          inputTensorName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputTensorName_);
+          bitField0_ |= 0x00000400;
+         }
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputTensorNameList() {
+        return inputTensorName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public int getInputTensorNameCount() {
+        return inputTensorName_.size();
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public java.lang.String getInputTensorName(int index) {
+        return inputTensorName_.get(index);
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputTensorNameBytes(int index) {
+        return inputTensorName_.getByteString(index);
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public Builder setInputTensorName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputTensorNameIsMutable();
+        inputTensorName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public Builder addInputTensorName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputTensorNameIsMutable();
+        inputTensorName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public Builder addAllInputTensorName(
+          java.lang.Iterable values) {
+        ensureInputTensorNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputTensorName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public Builder clearInputTensorName() {
+        inputTensorName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000400);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputTensorName = 13;
+       */
+      public Builder addInputTensorNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputTensorNameIsMutable();
+        inputTensorName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputTensorName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputTensorNameIsMutable() {
+        if (!((bitField0_ & 0x00000800) != 0)) {
+          outputTensorName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputTensorName_);
+          bitField0_ |= 0x00000800;
+         }
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputTensorNameList() {
+        return outputTensorName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public int getOutputTensorNameCount() {
+        return outputTensorName_.size();
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public java.lang.String getOutputTensorName(int index) {
+        return outputTensorName_.get(index);
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputTensorNameBytes(int index) {
+        return outputTensorName_.getByteString(index);
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public Builder setOutputTensorName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputTensorNameIsMutable();
+        outputTensorName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public Builder addOutputTensorName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputTensorNameIsMutable();
+        outputTensorName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public Builder addAllOutputTensorName(
+          java.lang.Iterable values) {
+        ensureOutputTensorNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputTensorName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public Builder clearOutputTensorName() {
+        outputTensorName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000800);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputTensorName = 14;
+       */
+      public Builder addOutputTensorNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputTensorNameIsMutable();
+        outputTensorName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList inputDataTypeName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureInputDataTypeNameIsMutable() {
+        if (!((bitField0_ & 0x00001000) != 0)) {
+          inputDataTypeName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(inputDataTypeName_);
+          bitField0_ |= 0x00001000;
+         }
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getInputDataTypeNameList() {
+        return inputDataTypeName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public int getInputDataTypeNameCount() {
+        return inputDataTypeName_.size();
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public java.lang.String getInputDataTypeName(int index) {
+        return inputDataTypeName_.get(index);
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputDataTypeNameBytes(int index) {
+        return inputDataTypeName_.getByteString(index);
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public Builder setInputDataTypeName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputDataTypeNameIsMutable();
+        inputDataTypeName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public Builder addInputDataTypeName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureInputDataTypeNameIsMutable();
+        inputDataTypeName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public Builder addAllInputDataTypeName(
+          java.lang.Iterable values) {
+        ensureInputDataTypeNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, inputDataTypeName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public Builder clearInputDataTypeName() {
+        inputDataTypeName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00001000);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string inputDataTypeName = 15;
+       */
+      public Builder addInputDataTypeNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureInputDataTypeNameIsMutable();
+        inputDataTypeName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList outputDataTypeName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureOutputDataTypeNameIsMutable() {
+        if (!((bitField0_ & 0x00002000) != 0)) {
+          outputDataTypeName_ = new org.nd4j.shade.protobuf.LazyStringArrayList(outputDataTypeName_);
+          bitField0_ |= 0x00002000;
+         }
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getOutputDataTypeNameList() {
+        return outputDataTypeName_.getUnmodifiableView();
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public int getOutputDataTypeNameCount() {
+        return outputDataTypeName_.size();
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public java.lang.String getOutputDataTypeName(int index) {
+        return outputDataTypeName_.get(index);
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getOutputDataTypeNameBytes(int index) {
+        return outputDataTypeName_.getByteString(index);
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public Builder setOutputDataTypeName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputDataTypeNameIsMutable();
+        outputDataTypeName_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public Builder addOutputDataTypeName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureOutputDataTypeNameIsMutable();
+        outputDataTypeName_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public Builder addAllOutputDataTypeName(
+          java.lang.Iterable values) {
+        ensureOutputDataTypeNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, outputDataTypeName_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public Builder clearOutputDataTypeName() {
+        outputDataTypeName_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00002000);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string outputDataTypeName = 16;
+       */
+      public Builder addOutputDataTypeNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureOutputDataTypeNameIsMutable();
+        outputDataTypeName_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.MapField<
+          java.lang.String, java.lang.String> inputToOutput_;
+      private org.nd4j.shade.protobuf.MapField
+      internalGetInputToOutput() {
+        if (inputToOutput_ == null) {
+          return org.nd4j.shade.protobuf.MapField.emptyMapField(
+              InputToOutputDefaultEntryHolder.defaultEntry);
+        }
+        return inputToOutput_;
+      }
+      private org.nd4j.shade.protobuf.MapField
+      internalGetMutableInputToOutput() {
+        onChanged();;
+        if (inputToOutput_ == null) {
+          inputToOutput_ = org.nd4j.shade.protobuf.MapField.newMapField(
+              InputToOutputDefaultEntryHolder.defaultEntry);
+        }
+        if (!inputToOutput_.isMutable()) {
+          inputToOutput_ = inputToOutput_.copy();
+        }
+        return inputToOutput_;
+      }
+
+      public int getInputToOutputCount() {
+        return internalGetInputToOutput().getMap().size();
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+
+      public boolean containsInputToOutput(
+          java.lang.String key) {
+        if (key == null) { throw new java.lang.NullPointerException(); }
+        return internalGetInputToOutput().getMap().containsKey(key);
+      }
+      /**
+       * Use {@link #getInputToOutputMap()} instead.
+       */
+      @java.lang.Deprecated
+      public java.util.Map getInputToOutput() {
+        return getInputToOutputMap();
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+
+      public java.util.Map getInputToOutputMap() {
+        return internalGetInputToOutput().getMap();
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+
+      public java.lang.String getInputToOutputOrDefault(
+          java.lang.String key,
+          java.lang.String defaultValue) {
+        if (key == null) { throw new java.lang.NullPointerException(); }
+        java.util.Map map =
+            internalGetInputToOutput().getMap();
+        return map.containsKey(key) ? map.get(key) : defaultValue;
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+
+      public java.lang.String getInputToOutputOrThrow(
+          java.lang.String key) {
+        if (key == null) { throw new java.lang.NullPointerException(); }
+        java.util.Map map =
+            internalGetInputToOutput().getMap();
+        if (!map.containsKey(key)) {
+          throw new java.lang.IllegalArgumentException();
+        }
+        return map.get(key);
+      }
+
+      public Builder clearInputToOutput() {
+        internalGetMutableInputToOutput().getMutableMap()
+            .clear();
+        return this;
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+
+      public Builder removeInputToOutput(
+          java.lang.String key) {
+        if (key == null) { throw new java.lang.NullPointerException(); }
+        internalGetMutableInputToOutput().getMutableMap()
+            .remove(key);
+        return this;
+      }
+      /**
+       * Use alternate mutation accessors instead.
+       */
+      @java.lang.Deprecated
+      public java.util.Map
+      getMutableInputToOutput() {
+        return internalGetMutableInputToOutput().getMutableMap();
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+      public Builder putInputToOutput(
+          java.lang.String key,
+          java.lang.String value) {
+        if (key == null) { throw new java.lang.NullPointerException(); }
+        if (value == null) { throw new java.lang.NullPointerException(); }
+        internalGetMutableInputToOutput().getMutableMap()
+            .put(key, value);
+        return this;
+      }
+      /**
+       * map<string, string> inputToOutput = 17;
+       */
+
+      public Builder putAllInputToOutput(
+          java.util.Map values) {
+        internalGetMutableInputToOutput().getMutableMap()
+            .putAll(values);
+        return this;
+      }
+
+      private java.lang.Object ruleType_ = "";
+      /**
+       * string ruleType = 18;
+       */
+      public java.lang.String getRuleType() {
+        java.lang.Object ref = ruleType_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          ruleType_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string ruleType = 18;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getRuleTypeBytes() {
+        java.lang.Object ref = ruleType_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          ruleType_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string ruleType = 18;
+       */
+      public Builder setRuleType(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        ruleType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string ruleType = 18;
+       */
+      public Builder clearRuleType() {
+        
+        ruleType_ = getDefaultInstance().getRuleType();
+        onChanged();
+        return this;
+      }
+      /**
+       * string ruleType = 18;
+       */
+      public Builder setRuleTypeBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        ruleType_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List transformerArgs_ =
+        java.util.Collections.emptyList();
+      private void ensureTransformerArgsIsMutable() {
+        if (!((bitField0_ & 0x00008000) != 0)) {
+          transformerArgs_ = new java.util.ArrayList(transformerArgs_);
+          bitField0_ |= 0x00008000;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.MapperNamespace.TransformerArgs, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder, org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder> transformerArgsBuilder_;
+
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public java.util.List getTransformerArgsList() {
+        if (transformerArgsBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(transformerArgs_);
+        } else {
+          return transformerArgsBuilder_.getMessageList();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public int getTransformerArgsCount() {
+        if (transformerArgsBuilder_ == null) {
+          return transformerArgs_.size();
+        } else {
+          return transformerArgsBuilder_.getCount();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public org.nd4j.ir.MapperNamespace.TransformerArgs getTransformerArgs(int index) {
+        if (transformerArgsBuilder_ == null) {
+          return transformerArgs_.get(index);
+        } else {
+          return transformerArgsBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder setTransformerArgs(
+          int index, org.nd4j.ir.MapperNamespace.TransformerArgs value) {
+        if (transformerArgsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.set(index, value);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder setTransformerArgs(
+          int index, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder builderForValue) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          transformerArgsBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder addTransformerArgs(org.nd4j.ir.MapperNamespace.TransformerArgs value) {
+        if (transformerArgsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(value);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder addTransformerArgs(
+          int index, org.nd4j.ir.MapperNamespace.TransformerArgs value) {
+        if (transformerArgsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(index, value);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder addTransformerArgs(
+          org.nd4j.ir.MapperNamespace.TransformerArgs.Builder builderForValue) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(builderForValue.build());
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder addTransformerArgs(
+          int index, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder builderForValue) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder addAllTransformerArgs(
+          java.lang.Iterable values) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, transformerArgs_);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder clearTransformerArgs() {
+        if (transformerArgsBuilder_ == null) {
+          transformerArgs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00008000);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public Builder removeTransformerArgs(int index) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.remove(index);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public org.nd4j.ir.MapperNamespace.TransformerArgs.Builder getTransformerArgsBuilder(
+          int index) {
+        return getTransformerArgsFieldBuilder().getBuilder(index);
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder getTransformerArgsOrBuilder(
+          int index) {
+        if (transformerArgsBuilder_ == null) {
+          return transformerArgs_.get(index);  } else {
+          return transformerArgsBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public java.util.List 
+           getTransformerArgsOrBuilderList() {
+        if (transformerArgsBuilder_ != null) {
+          return transformerArgsBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(transformerArgs_);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public org.nd4j.ir.MapperNamespace.TransformerArgs.Builder addTransformerArgsBuilder() {
+        return getTransformerArgsFieldBuilder().addBuilder(
+            org.nd4j.ir.MapperNamespace.TransformerArgs.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public org.nd4j.ir.MapperNamespace.TransformerArgs.Builder addTransformerArgsBuilder(
+          int index) {
+        return getTransformerArgsFieldBuilder().addBuilder(
+            index, org.nd4j.ir.MapperNamespace.TransformerArgs.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;
+       */
+      public java.util.List 
+           getTransformerArgsBuilderList() {
+        return getTransformerArgsFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.MapperNamespace.TransformerArgs, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder, org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder> 
+          getTransformerArgsFieldBuilder() {
+        if (transformerArgsBuilder_ == null) {
+          transformerArgsBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.MapperNamespace.TransformerArgs, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder, org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder>(
+                  transformerArgs_,
+                  ((bitField0_ & 0x00008000) != 0),
+                  getParentForChildren(),
+                  isClean());
+          transformerArgs_ = null;
+        }
+        return transformerArgsBuilder_;
+      }
+
+      private java.lang.Object inputFrameworkOpName_ = "";
+      /**
+       * string inputFrameworkOpName = 20;
+       */
+      public java.lang.String getInputFrameworkOpName() {
+        java.lang.Object ref = inputFrameworkOpName_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          inputFrameworkOpName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string inputFrameworkOpName = 20;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getInputFrameworkOpNameBytes() {
+        java.lang.Object ref = inputFrameworkOpName_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          inputFrameworkOpName_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string inputFrameworkOpName = 20;
+       */
+      public Builder setInputFrameworkOpName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        inputFrameworkOpName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string inputFrameworkOpName = 20;
+       */
+      public Builder clearInputFrameworkOpName() {
+        
+        inputFrameworkOpName_ = getDefaultInstance().getInputFrameworkOpName();
+        onChanged();
+        return this;
+      }
+      /**
+       * string inputFrameworkOpName = 20;
+       */
+      public Builder setInputFrameworkOpNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        inputFrameworkOpName_ = value;
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.MappingRule)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.MappingRule)
+    private static final org.nd4j.ir.MapperNamespace.MappingRule DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.MapperNamespace.MappingRule();
+    }
+
+    public static org.nd4j.ir.MapperNamespace.MappingRule getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public MappingRule parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new MappingRule(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.MapperNamespace.MappingRule getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface TransformerArgsOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TransformerArgs)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * string key = 1;
+     */
+    java.lang.String getKey();
+    /**
+     * string key = 1;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getKeyBytes();
+
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    java.util.List 
+        getTransformerArgsList();
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    org.nd4j.ir.OpNamespace.ArgDescriptor getTransformerArgs(int index);
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    int getTransformerArgsCount();
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    java.util.List 
+        getTransformerArgsOrBuilderList();
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder getTransformerArgsOrBuilder(
+        int index);
+  }
+  /**
+   * Protobuf type {@code org.nd4j.ir.TransformerArgs}
+   */
+  public  static final class TransformerArgs extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.TransformerArgs)
+      TransformerArgsOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use TransformerArgs.newBuilder() to construct.
+    private TransformerArgs(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private TransformerArgs() {
+      key_ = "";
+      transformerArgs_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new TransformerArgs();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private TransformerArgs(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              key_ = s;
+              break;
+            }
+            case 18: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                transformerArgs_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              transformerArgs_.add(
+                  input.readMessage(org.nd4j.ir.OpNamespace.ArgDescriptor.parser(), extensionRegistry));
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          transformerArgs_ = java.util.Collections.unmodifiableList(transformerArgs_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_TransformerArgs_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_TransformerArgs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.MapperNamespace.TransformerArgs.class, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder.class);
+    }
+
+    public static final int KEY_FIELD_NUMBER = 1;
+    private volatile java.lang.Object key_;
+    /**
+     * string key = 1;
+     */
+    public java.lang.String getKey() {
+      java.lang.Object ref = key_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        key_ = s;
+        return s;
+      }
+    }
+    /**
+     * string key = 1;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getKeyBytes() {
+      java.lang.Object ref = key_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        key_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int TRANSFORMERARGS_FIELD_NUMBER = 2;
+    private java.util.List transformerArgs_;
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    public java.util.List getTransformerArgsList() {
+      return transformerArgs_;
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    public java.util.List 
+        getTransformerArgsOrBuilderList() {
+      return transformerArgs_;
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    public int getTransformerArgsCount() {
+      return transformerArgs_.size();
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    public org.nd4j.ir.OpNamespace.ArgDescriptor getTransformerArgs(int index) {
+      return transformerArgs_.get(index);
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+     */
+    public org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder getTransformerArgsOrBuilder(
+        int index) {
+      return transformerArgs_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      if (!getKeyBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, key_);
+      }
+      for (int i = 0; i < transformerArgs_.size(); i++) {
+        output.writeMessage(2, transformerArgs_.get(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getKeyBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, key_);
+      }
+      for (int i = 0; i < transformerArgs_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(2, transformerArgs_.get(i));
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.MapperNamespace.TransformerArgs)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.MapperNamespace.TransformerArgs other = (org.nd4j.ir.MapperNamespace.TransformerArgs) obj;
+
+      if (!getKey()
+          .equals(other.getKey())) return false;
+      if (!getTransformerArgsList()
+          .equals(other.getTransformerArgsList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + KEY_FIELD_NUMBER;
+      hash = (53 * hash) + getKey().hashCode();
+      if (getTransformerArgsCount() > 0) {
+        hash = (37 * hash) + TRANSFORMERARGS_FIELD_NUMBER;
+        hash = (53 * hash) + getTransformerArgsList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.MapperNamespace.TransformerArgs prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.TransformerArgs}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TransformerArgs)
+        org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_TransformerArgs_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_TransformerArgs_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.MapperNamespace.TransformerArgs.class, org.nd4j.ir.MapperNamespace.TransformerArgs.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.MapperNamespace.TransformerArgs.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getTransformerArgsFieldBuilder();
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        key_ = "";
+
+        if (transformerArgsBuilder_ == null) {
+          transformerArgs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          transformerArgsBuilder_.clear();
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_TransformerArgs_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.TransformerArgs getDefaultInstanceForType() {
+        return org.nd4j.ir.MapperNamespace.TransformerArgs.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.TransformerArgs build() {
+        org.nd4j.ir.MapperNamespace.TransformerArgs result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.TransformerArgs buildPartial() {
+        org.nd4j.ir.MapperNamespace.TransformerArgs result = new org.nd4j.ir.MapperNamespace.TransformerArgs(this);
+        int from_bitField0_ = bitField0_;
+        result.key_ = key_;
+        if (transformerArgsBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            transformerArgs_ = java.util.Collections.unmodifiableList(transformerArgs_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.transformerArgs_ = transformerArgs_;
+        } else {
+          result.transformerArgs_ = transformerArgsBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.MapperNamespace.TransformerArgs) {
+          return mergeFrom((org.nd4j.ir.MapperNamespace.TransformerArgs)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.MapperNamespace.TransformerArgs other) {
+        if (other == org.nd4j.ir.MapperNamespace.TransformerArgs.getDefaultInstance()) return this;
+        if (!other.getKey().isEmpty()) {
+          key_ = other.key_;
+          onChanged();
+        }
+        if (transformerArgsBuilder_ == null) {
+          if (!other.transformerArgs_.isEmpty()) {
+            if (transformerArgs_.isEmpty()) {
+              transformerArgs_ = other.transformerArgs_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureTransformerArgsIsMutable();
+              transformerArgs_.addAll(other.transformerArgs_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.transformerArgs_.isEmpty()) {
+            if (transformerArgsBuilder_.isEmpty()) {
+              transformerArgsBuilder_.dispose();
+              transformerArgsBuilder_ = null;
+              transformerArgs_ = other.transformerArgs_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              transformerArgsBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
+                   getTransformerArgsFieldBuilder() : null;
+            } else {
+              transformerArgsBuilder_.addAllMessages(other.transformerArgs_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.MapperNamespace.TransformerArgs parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.MapperNamespace.TransformerArgs) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.lang.Object key_ = "";
+      /**
+       * string key = 1;
+       */
+      public java.lang.String getKey() {
+        java.lang.Object ref = key_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          key_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string key = 1;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getKeyBytes() {
+        java.lang.Object ref = key_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          key_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string key = 1;
+       */
+      public Builder setKey(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        key_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string key = 1;
+       */
+      public Builder clearKey() {
+        
+        key_ = getDefaultInstance().getKey();
+        onChanged();
+        return this;
+      }
+      /**
+       * string key = 1;
+       */
+      public Builder setKeyBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        key_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List transformerArgs_ =
+        java.util.Collections.emptyList();
+      private void ensureTransformerArgsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          transformerArgs_ = new java.util.ArrayList(transformerArgs_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.OpNamespace.ArgDescriptor, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder, org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder> transformerArgsBuilder_;
+
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public java.util.List getTransformerArgsList() {
+        if (transformerArgsBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(transformerArgs_);
+        } else {
+          return transformerArgsBuilder_.getMessageList();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public int getTransformerArgsCount() {
+        if (transformerArgsBuilder_ == null) {
+          return transformerArgs_.size();
+        } else {
+          return transformerArgsBuilder_.getCount();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor getTransformerArgs(int index) {
+        if (transformerArgsBuilder_ == null) {
+          return transformerArgs_.get(index);
+        } else {
+          return transformerArgsBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder setTransformerArgs(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor value) {
+        if (transformerArgsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.set(index, value);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder setTransformerArgs(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder builderForValue) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          transformerArgsBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder addTransformerArgs(org.nd4j.ir.OpNamespace.ArgDescriptor value) {
+        if (transformerArgsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(value);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder addTransformerArgs(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor value) {
+        if (transformerArgsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(index, value);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder addTransformerArgs(
+          org.nd4j.ir.OpNamespace.ArgDescriptor.Builder builderForValue) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(builderForValue.build());
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder addTransformerArgs(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder builderForValue) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder addAllTransformerArgs(
+          java.lang.Iterable values) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, transformerArgs_);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder clearTransformerArgs() {
+        if (transformerArgsBuilder_ == null) {
+          transformerArgs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public Builder removeTransformerArgs(int index) {
+        if (transformerArgsBuilder_ == null) {
+          ensureTransformerArgsIsMutable();
+          transformerArgs_.remove(index);
+          onChanged();
+        } else {
+          transformerArgsBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.Builder getTransformerArgsBuilder(
+          int index) {
+        return getTransformerArgsFieldBuilder().getBuilder(index);
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder getTransformerArgsOrBuilder(
+          int index) {
+        if (transformerArgsBuilder_ == null) {
+          return transformerArgs_.get(index);  } else {
+          return transformerArgsBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public java.util.List 
+           getTransformerArgsOrBuilderList() {
+        if (transformerArgsBuilder_ != null) {
+          return transformerArgsBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(transformerArgs_);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.Builder addTransformerArgsBuilder() {
+        return getTransformerArgsFieldBuilder().addBuilder(
+            org.nd4j.ir.OpNamespace.ArgDescriptor.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.Builder addTransformerArgsBuilder(
+          int index) {
+        return getTransformerArgsFieldBuilder().addBuilder(
+            index, org.nd4j.ir.OpNamespace.ArgDescriptor.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;
+       */
+      public java.util.List 
+           getTransformerArgsBuilderList() {
+        return getTransformerArgsFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.OpNamespace.ArgDescriptor, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder, org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder> 
+          getTransformerArgsFieldBuilder() {
+        if (transformerArgsBuilder_ == null) {
+          transformerArgsBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.OpNamespace.ArgDescriptor, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder, org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder>(
+                  transformerArgs_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          transformerArgs_ = null;
+        }
+        return transformerArgsBuilder_;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TransformerArgs)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.TransformerArgs)
+    private static final org.nd4j.ir.MapperNamespace.TransformerArgs DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.MapperNamespace.TransformerArgs();
+    }
+
+    public static org.nd4j.ir.MapperNamespace.TransformerArgs getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public TransformerArgs parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new TransformerArgs(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.MapperNamespace.TransformerArgs getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface MappingDefinitionSetOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.MappingDefinitionSet)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    java.util.List 
+        getMappingsList();
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    org.nd4j.ir.MapperNamespace.MapperDeclaration getMappings(int index);
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    int getMappingsCount();
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    java.util.List 
+        getMappingsOrBuilderList();
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder getMappingsOrBuilder(
+        int index);
+
+    /**
+     * repeated string name = 2;
+     */
+    java.util.List
+        getNameList();
+    /**
+     * repeated string name = 2;
+     */
+    int getNameCount();
+    /**
+     * repeated string name = 2;
+     */
+    java.lang.String getName(int index);
+    /**
+     * repeated string name = 2;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getNameBytes(int index);
+  }
+  /**
+   * Protobuf type {@code org.nd4j.ir.MappingDefinitionSet}
+   */
+  public  static final class MappingDefinitionSet extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.MappingDefinitionSet)
+      MappingDefinitionSetOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use MappingDefinitionSet.newBuilder() to construct.
+    private MappingDefinitionSet(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private MappingDefinitionSet() {
+      mappings_ = java.util.Collections.emptyList();
+      name_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new MappingDefinitionSet();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private MappingDefinitionSet(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                mappings_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              mappings_.add(
+                  input.readMessage(org.nd4j.ir.MapperNamespace.MapperDeclaration.parser(), extensionRegistry));
+              break;
+            }
+            case 18: {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                name_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              name_.add(s);
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          mappings_ = java.util.Collections.unmodifiableList(mappings_);
+        }
+        if (((mutable_bitField0_ & 0x00000002) != 0)) {
+          name_ = name_.getUnmodifiableView();
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingDefinitionSet_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingDefinitionSet_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.MapperNamespace.MappingDefinitionSet.class, org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder.class);
+    }
+
+    public static final int MAPPINGS_FIELD_NUMBER = 1;
+    private java.util.List mappings_;
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    public java.util.List getMappingsList() {
+      return mappings_;
+    }
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    public java.util.List 
+        getMappingsOrBuilderList() {
+      return mappings_;
+    }
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    public int getMappingsCount() {
+      return mappings_.size();
+    }
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    public org.nd4j.ir.MapperNamespace.MapperDeclaration getMappings(int index) {
+      return mappings_.get(index);
+    }
+    /**
+     * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+     */
+    public org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder getMappingsOrBuilder(
+        int index) {
+      return mappings_.get(index);
+    }
+
+    public static final int NAME_FIELD_NUMBER = 2;
+    private org.nd4j.shade.protobuf.LazyStringList name_;
+    /**
+     * repeated string name = 2;
+     */
+    public org.nd4j.shade.protobuf.ProtocolStringList
+        getNameList() {
+      return name_;
+    }
+    /**
+     * repeated string name = 2;
+     */
+    public int getNameCount() {
+      return name_.size();
+    }
+    /**
+     * repeated string name = 2;
+     */
+    public java.lang.String getName(int index) {
+      return name_.get(index);
+    }
+    /**
+     * repeated string name = 2;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getNameBytes(int index) {
+      return name_.getByteString(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      for (int i = 0; i < mappings_.size(); i++) {
+        output.writeMessage(1, mappings_.get(i));
+      }
+      for (int i = 0; i < name_.size(); i++) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, name_.getRaw(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      for (int i = 0; i < mappings_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(1, mappings_.get(i));
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < name_.size(); i++) {
+          dataSize += computeStringSizeNoTag(name_.getRaw(i));
+        }
+        size += dataSize;
+        size += 1 * getNameList().size();
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.MapperNamespace.MappingDefinitionSet)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.MapperNamespace.MappingDefinitionSet other = (org.nd4j.ir.MapperNamespace.MappingDefinitionSet) obj;
+
+      if (!getMappingsList()
+          .equals(other.getMappingsList())) return false;
+      if (!getNameList()
+          .equals(other.getNameList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (getMappingsCount() > 0) {
+        hash = (37 * hash) + MAPPINGS_FIELD_NUMBER;
+        hash = (53 * hash) + getMappingsList().hashCode();
+      }
+      if (getNameCount() > 0) {
+        hash = (37 * hash) + NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getNameList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.MapperNamespace.MappingDefinitionSet prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.MappingDefinitionSet}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.MappingDefinitionSet)
+        org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingDefinitionSet_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingDefinitionSet_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.MapperNamespace.MappingDefinitionSet.class, org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.MapperNamespace.MappingDefinitionSet.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getMappingsFieldBuilder();
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (mappingsBuilder_ == null) {
+          mappings_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          mappingsBuilder_.clear();
+        }
+        name_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000002);
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MappingDefinitionSet_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.MappingDefinitionSet getDefaultInstanceForType() {
+        return org.nd4j.ir.MapperNamespace.MappingDefinitionSet.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.MappingDefinitionSet build() {
+        org.nd4j.ir.MapperNamespace.MappingDefinitionSet result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.MappingDefinitionSet buildPartial() {
+        org.nd4j.ir.MapperNamespace.MappingDefinitionSet result = new org.nd4j.ir.MapperNamespace.MappingDefinitionSet(this);
+        int from_bitField0_ = bitField0_;
+        if (mappingsBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            mappings_ = java.util.Collections.unmodifiableList(mappings_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.mappings_ = mappings_;
+        } else {
+          result.mappings_ = mappingsBuilder_.build();
+        }
+        if (((bitField0_ & 0x00000002) != 0)) {
+          name_ = name_.getUnmodifiableView();
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.name_ = name_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.MapperNamespace.MappingDefinitionSet) {
+          return mergeFrom((org.nd4j.ir.MapperNamespace.MappingDefinitionSet)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.MapperNamespace.MappingDefinitionSet other) {
+        if (other == org.nd4j.ir.MapperNamespace.MappingDefinitionSet.getDefaultInstance()) return this;
+        if (mappingsBuilder_ == null) {
+          if (!other.mappings_.isEmpty()) {
+            if (mappings_.isEmpty()) {
+              mappings_ = other.mappings_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureMappingsIsMutable();
+              mappings_.addAll(other.mappings_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.mappings_.isEmpty()) {
+            if (mappingsBuilder_.isEmpty()) {
+              mappingsBuilder_.dispose();
+              mappingsBuilder_ = null;
+              mappings_ = other.mappings_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              mappingsBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
+                   getMappingsFieldBuilder() : null;
+            } else {
+              mappingsBuilder_.addAllMessages(other.mappings_);
+            }
+          }
+        }
+        if (!other.name_.isEmpty()) {
+          if (name_.isEmpty()) {
+            name_ = other.name_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureNameIsMutable();
+            name_.addAll(other.name_);
+          }
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.MapperNamespace.MappingDefinitionSet parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.MapperNamespace.MappingDefinitionSet) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.util.List mappings_ =
+        java.util.Collections.emptyList();
+      private void ensureMappingsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          mappings_ = new java.util.ArrayList(mappings_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.MapperNamespace.MapperDeclaration, org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder, org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder> mappingsBuilder_;
+
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public java.util.List getMappingsList() {
+        if (mappingsBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(mappings_);
+        } else {
+          return mappingsBuilder_.getMessageList();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public int getMappingsCount() {
+        if (mappingsBuilder_ == null) {
+          return mappings_.size();
+        } else {
+          return mappingsBuilder_.getCount();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration getMappings(int index) {
+        if (mappingsBuilder_ == null) {
+          return mappings_.get(index);
+        } else {
+          return mappingsBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder setMappings(
+          int index, org.nd4j.ir.MapperNamespace.MapperDeclaration value) {
+        if (mappingsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureMappingsIsMutable();
+          mappings_.set(index, value);
+          onChanged();
+        } else {
+          mappingsBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder setMappings(
+          int index, org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder builderForValue) {
+        if (mappingsBuilder_ == null) {
+          ensureMappingsIsMutable();
+          mappings_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          mappingsBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder addMappings(org.nd4j.ir.MapperNamespace.MapperDeclaration value) {
+        if (mappingsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureMappingsIsMutable();
+          mappings_.add(value);
+          onChanged();
+        } else {
+          mappingsBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder addMappings(
+          int index, org.nd4j.ir.MapperNamespace.MapperDeclaration value) {
+        if (mappingsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureMappingsIsMutable();
+          mappings_.add(index, value);
+          onChanged();
+        } else {
+          mappingsBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder addMappings(
+          org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder builderForValue) {
+        if (mappingsBuilder_ == null) {
+          ensureMappingsIsMutable();
+          mappings_.add(builderForValue.build());
+          onChanged();
+        } else {
+          mappingsBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder addMappings(
+          int index, org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder builderForValue) {
+        if (mappingsBuilder_ == null) {
+          ensureMappingsIsMutable();
+          mappings_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          mappingsBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder addAllMappings(
+          java.lang.Iterable values) {
+        if (mappingsBuilder_ == null) {
+          ensureMappingsIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, mappings_);
+          onChanged();
+        } else {
+          mappingsBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder clearMappings() {
+        if (mappingsBuilder_ == null) {
+          mappings_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          mappingsBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public Builder removeMappings(int index) {
+        if (mappingsBuilder_ == null) {
+          ensureMappingsIsMutable();
+          mappings_.remove(index);
+          onChanged();
+        } else {
+          mappingsBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder getMappingsBuilder(
+          int index) {
+        return getMappingsFieldBuilder().getBuilder(index);
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder getMappingsOrBuilder(
+          int index) {
+        if (mappingsBuilder_ == null) {
+          return mappings_.get(index);  } else {
+          return mappingsBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public java.util.List 
+           getMappingsOrBuilderList() {
+        if (mappingsBuilder_ != null) {
+          return mappingsBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(mappings_);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder addMappingsBuilder() {
+        return getMappingsFieldBuilder().addBuilder(
+            org.nd4j.ir.MapperNamespace.MapperDeclaration.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder addMappingsBuilder(
+          int index) {
+        return getMappingsFieldBuilder().addBuilder(
+            index, org.nd4j.ir.MapperNamespace.MapperDeclaration.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.MapperDeclaration mappings = 1;
+       */
+      public java.util.List 
+           getMappingsBuilderList() {
+        return getMappingsFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.MapperNamespace.MapperDeclaration, org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder, org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder> 
+          getMappingsFieldBuilder() {
+        if (mappingsBuilder_ == null) {
+          mappingsBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.MapperNamespace.MapperDeclaration, org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder, org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder>(
+                  mappings_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          mappings_ = null;
+        }
+        return mappingsBuilder_;
+      }
+
+      private org.nd4j.shade.protobuf.LazyStringList name_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+      private void ensureNameIsMutable() {
+        if (!((bitField0_ & 0x00000002) != 0)) {
+          name_ = new org.nd4j.shade.protobuf.LazyStringArrayList(name_);
+          bitField0_ |= 0x00000002;
+         }
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public org.nd4j.shade.protobuf.ProtocolStringList
+          getNameList() {
+        return name_.getUnmodifiableView();
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public int getNameCount() {
+        return name_.size();
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public java.lang.String getName(int index) {
+        return name_.get(index);
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getNameBytes(int index) {
+        return name_.getByteString(index);
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public Builder setName(
+          int index, java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureNameIsMutable();
+        name_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public Builder addName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureNameIsMutable();
+        name_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public Builder addAllName(
+          java.lang.Iterable values) {
+        ensureNameIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, name_);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public Builder clearName() {
+        name_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+        return this;
+      }
+      /**
+       * repeated string name = 2;
+       */
+      public Builder addNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        ensureNameIsMutable();
+        name_.add(value);
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.MappingDefinitionSet)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.MappingDefinitionSet)
+    private static final org.nd4j.ir.MapperNamespace.MappingDefinitionSet DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.MapperNamespace.MappingDefinitionSet();
+    }
+
+    public static org.nd4j.ir.MapperNamespace.MappingDefinitionSet getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public MappingDefinitionSet parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new MappingDefinitionSet(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.MapperNamespace.MappingDefinitionSet getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface MapperDeclarationOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.MapperDeclaration)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * string frameworkName = 1;
+     */
+    java.lang.String getFrameworkName();
+    /**
+     * string frameworkName = 1;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getFrameworkNameBytes();
+
+    /**
+     * string opName = 2;
+     */
+    java.lang.String getOpName();
+    /**
+     * string opName = 2;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getOpNameBytes();
+
+    /**
+     * string inputFrameworkOpName = 3;
+     */
+    java.lang.String getInputFrameworkOpName();
+    /**
+     * string inputFrameworkOpName = 3;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getInputFrameworkOpNameBytes();
+
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    java.util.List 
+        getRuleList();
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    org.nd4j.ir.MapperNamespace.MappingRule getRule(int index);
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    int getRuleCount();
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    java.util.List 
+        getRuleOrBuilderList();
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder getRuleOrBuilder(
+        int index);
+
+    /**
+     * map<int64, int64> indexOverrides = 5;
+     */
+    int getIndexOverridesCount();
+    /**
+     * map<int64, int64> indexOverrides = 5;
+     */
+    boolean containsIndexOverrides(
+        long key);
+    /**
+     * Use {@link #getIndexOverridesMap()} instead.
+     */
+    @java.lang.Deprecated
+    java.util.Map
+    getIndexOverrides();
+    /**
+     * map<int64, int64> indexOverrides = 5;
+     */
+    java.util.Map
+    getIndexOverridesMap();
+    /**
+     * map<int64, int64> indexOverrides = 5;
+     */
+
+    long getIndexOverridesOrDefault(
+        long key,
+        long defaultValue);
+    /**
+     * map<int64, int64> indexOverrides = 5;
+     */
+
+    long getIndexOverridesOrThrow(
+        long key);
+  }
+  /**
+   * Protobuf type {@code org.nd4j.ir.MapperDeclaration}
+   */
+  public  static final class MapperDeclaration extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.MapperDeclaration)
+      MapperDeclarationOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use MapperDeclaration.newBuilder() to construct.
+    private MapperDeclaration(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private MapperDeclaration() {
+      frameworkName_ = "";
+      opName_ = "";
+      inputFrameworkOpName_ = "";
+      rule_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new MapperDeclaration();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private MapperDeclaration(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              frameworkName_ = s;
+              break;
+            }
+            case 18: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              opName_ = s;
+              break;
+            }
+            case 26: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              inputFrameworkOpName_ = s;
+              break;
+            }
+            case 34: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                rule_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              rule_.add(
+                  input.readMessage(org.nd4j.ir.MapperNamespace.MappingRule.parser(), extensionRegistry));
+              break;
+            }
+            case 42: {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                indexOverrides_ = org.nd4j.shade.protobuf.MapField.newMapField(
+                    IndexOverridesDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000002;
+              }
+              org.nd4j.shade.protobuf.MapEntry
+              indexOverrides__ = input.readMessage(
+                  IndexOverridesDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              indexOverrides_.getMutableMap().put(
+                  indexOverrides__.getKey(), indexOverrides__.getValue());
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          rule_ = java.util.Collections.unmodifiableList(rule_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MapperDeclaration_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.MapField internalGetMapField(
+        int number) {
+      switch (number) {
+        case 5:
+          return internalGetIndexOverrides();
+        default:
+          throw new RuntimeException(
+              "Invalid map field number: " + number);
+      }
+    }
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MapperDeclaration_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.MapperNamespace.MapperDeclaration.class, org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder.class);
+    }
+
+    public static final int FRAMEWORKNAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object frameworkName_;
+    /**
+     * string frameworkName = 1;
+     */
+    public java.lang.String getFrameworkName() {
+      java.lang.Object ref = frameworkName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        frameworkName_ = s;
+        return s;
+      }
+    }
+    /**
+     * string frameworkName = 1;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getFrameworkNameBytes() {
+      java.lang.Object ref = frameworkName_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        frameworkName_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int OPNAME_FIELD_NUMBER = 2;
+    private volatile java.lang.Object opName_;
+    /**
+     * string opName = 2;
+     */
+    public java.lang.String getOpName() {
+      java.lang.Object ref = opName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        opName_ = s;
+        return s;
+      }
+    }
+    /**
+     * string opName = 2;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getOpNameBytes() {
+      java.lang.Object ref = opName_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        opName_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int INPUTFRAMEWORKOPNAME_FIELD_NUMBER = 3;
+    private volatile java.lang.Object inputFrameworkOpName_;
+    /**
+     * string inputFrameworkOpName = 3;
+     */
+    public java.lang.String getInputFrameworkOpName() {
+      java.lang.Object ref = inputFrameworkOpName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        inputFrameworkOpName_ = s;
+        return s;
+      }
+    }
+    /**
+     * string inputFrameworkOpName = 3;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getInputFrameworkOpNameBytes() {
+      java.lang.Object ref = inputFrameworkOpName_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        inputFrameworkOpName_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int RULE_FIELD_NUMBER = 4;
+    private java.util.List rule_;
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    public java.util.List getRuleList() {
+      return rule_;
+    }
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    public java.util.List 
+        getRuleOrBuilderList() {
+      return rule_;
+    }
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    public int getRuleCount() {
+      return rule_.size();
+    }
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    public org.nd4j.ir.MapperNamespace.MappingRule getRule(int index) {
+      return rule_.get(index);
+    }
+    /**
+     * 
        +     *the rules to apply for attributes
+     * 
        
+     *
+     * repeated .org.nd4j.ir.MappingRule rule = 4;
+     */
+    public org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder getRuleOrBuilder(
+        int index) {
+      return rule_.get(index);
+    }
+
+    public static final int INDEXOVERRIDES_FIELD_NUMBER = 5;
+    private static final class IndexOverridesDefaultEntryHolder {
+      static final org.nd4j.shade.protobuf.MapEntry<
+          java.lang.Long, java.lang.Long> defaultEntry =
+              org.nd4j.shade.protobuf.MapEntry
+              .newDefaultInstance(
+                  org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MapperDeclaration_IndexOverridesEntry_descriptor, 
+                  org.nd4j.shade.protobuf.WireFormat.FieldType.INT64,
+                  0L,
+                  org.nd4j.shade.protobuf.WireFormat.FieldType.INT64,
+                  0L);
+    }
+    private org.nd4j.shade.protobuf.MapField<
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+    public boolean containsIndexOverrides(
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+    public long getIndexOverridesOrDefault(
+        long key,
+        long defaultValue) {
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+      java.util.Map map =
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+    }
+    /**
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+     */
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+    public long getIndexOverridesOrThrow(
+        long key) {
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+      java.util.Map map =
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+    @java.lang.Override
+    public int getSerializedSize() {
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+      size = 0;
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+            .setValue(entry.getValue())
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+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
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+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.MapperNamespace.MapperDeclaration)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.MapperNamespace.MapperDeclaration other = (org.nd4j.ir.MapperNamespace.MapperDeclaration) obj;
+
+      if (!getFrameworkName()
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+      if (!getOpName()
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+      if (!getInputFrameworkOpName()
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+      if (!getRuleList()
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+      if (!internalGetIndexOverrides().equals(
+          other.internalGetIndexOverrides())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
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+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + FRAMEWORKNAME_FIELD_NUMBER;
+      hash = (53 * hash) + getFrameworkName().hashCode();
+      hash = (37 * hash) + OPNAME_FIELD_NUMBER;
+      hash = (53 * hash) + getOpName().hashCode();
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+      if (getRuleCount() > 0) {
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+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
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+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.MapperNamespace.MapperDeclaration prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.MapperDeclaration}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.MapperDeclaration)
+        org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MapperDeclaration_descriptor;
+      }
+
+      @SuppressWarnings({"rawtypes"})
+      protected org.nd4j.shade.protobuf.MapField internalGetMapField(
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+            return internalGetIndexOverrides();
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+            throw new RuntimeException(
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+      protected org.nd4j.shade.protobuf.MapField internalGetMutableMapField(
+          int number) {
+        switch (number) {
+          case 5:
+            return internalGetMutableIndexOverrides();
+          default:
+            throw new RuntimeException(
+                "Invalid map field number: " + number);
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+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
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+      }
+
+      // Construct using org.nd4j.ir.MapperNamespace.MapperDeclaration.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getRuleFieldBuilder();
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+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        frameworkName_ = "";
+
+        opName_ = "";
+
+        inputFrameworkOpName_ = "";
+
+        if (ruleBuilder_ == null) {
+          rule_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          ruleBuilder_.clear();
+        }
+        internalGetMutableIndexOverrides().clear();
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.MapperNamespace.internal_static_org_nd4j_ir_MapperDeclaration_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration getDefaultInstanceForType() {
+        return org.nd4j.ir.MapperNamespace.MapperDeclaration.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration build() {
+        org.nd4j.ir.MapperNamespace.MapperDeclaration result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.MapperNamespace.MapperDeclaration buildPartial() {
+        org.nd4j.ir.MapperNamespace.MapperDeclaration result = new org.nd4j.ir.MapperNamespace.MapperDeclaration(this);
+        int from_bitField0_ = bitField0_;
+        result.frameworkName_ = frameworkName_;
+        result.opName_ = opName_;
+        result.inputFrameworkOpName_ = inputFrameworkOpName_;
+        if (ruleBuilder_ == null) {
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+        } else {
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+        }
+        result.indexOverrides_ = internalGetIndexOverrides();
+        result.indexOverrides_.makeImmutable();
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.MapperNamespace.MapperDeclaration) {
+          return mergeFrom((org.nd4j.ir.MapperNamespace.MapperDeclaration)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.MapperNamespace.MapperDeclaration other) {
+        if (other == org.nd4j.ir.MapperNamespace.MapperDeclaration.getDefaultInstance()) return this;
+        if (!other.getFrameworkName().isEmpty()) {
+          frameworkName_ = other.frameworkName_;
+          onChanged();
+        }
+        if (!other.getOpName().isEmpty()) {
+          opName_ = other.opName_;
+          onChanged();
+        }
+        if (!other.getInputFrameworkOpName().isEmpty()) {
+          inputFrameworkOpName_ = other.inputFrameworkOpName_;
+          onChanged();
+        }
+        if (ruleBuilder_ == null) {
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+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
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+              rule_.addAll(other.rule_);
+            }
+            onChanged();
+          }
+        } else {
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+              ruleBuilder_ = null;
+              rule_ = other.rule_;
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+              ruleBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
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+            } else {
+              ruleBuilder_.addAllMessages(other.rule_);
+            }
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+        }
+        internalGetMutableIndexOverrides().mergeFrom(
+            other.internalGetIndexOverrides());
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.MapperNamespace.MapperDeclaration parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.MapperNamespace.MapperDeclaration) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.lang.Object frameworkName_ = "";
+      /**
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+      public java.lang.String getFrameworkName() {
+        java.lang.Object ref = frameworkName_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          frameworkName_ = s;
+          return s;
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+      /**
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+      public org.nd4j.shade.protobuf.ByteString
+          getFrameworkNameBytes() {
+        java.lang.Object ref = frameworkName_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
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+          frameworkName_ = b;
+          return b;
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+      /**
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+      public Builder setFrameworkName(
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+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        frameworkName_ = value;
+        onChanged();
+        return this;
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+      /**
+       * string frameworkName = 1;
+       */
+      public Builder clearFrameworkName() {
+        
+        frameworkName_ = getDefaultInstance().getFrameworkName();
+        onChanged();
+        return this;
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+      /**
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+       */
+      public Builder setFrameworkNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
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+  checkByteStringIsUtf8(value);
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+        frameworkName_ = value;
+        onChanged();
+        return this;
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+          java.lang.String s = bs.toStringUtf8();
+          opName_ = s;
+          return s;
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+          opName_ = b;
+          return b;
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+      public Builder setOpName(
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+        if (value == null) {
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+  
+        opName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string opName = 2;
+       */
+      public Builder clearOpName() {
+        
+        opName_ = getDefaultInstance().getOpName();
+        onChanged();
+        return this;
+      }
+      /**
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+       */
+      public Builder setOpNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        opName_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object inputFrameworkOpName_ = "";
+      /**
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+      public java.lang.String getInputFrameworkOpName() {
+        java.lang.Object ref = inputFrameworkOpName_;
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+          org.nd4j.shade.protobuf.ByteString bs =
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+          java.lang.String s = bs.toStringUtf8();
+          inputFrameworkOpName_ = s;
+          return s;
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+        if (ref instanceof String) {
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+          inputFrameworkOpName_ = b;
+          return b;
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+      /**
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+        if (value == null) {
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+  
+        inputFrameworkOpName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string inputFrameworkOpName = 3;
+       */
+      public Builder clearInputFrameworkOpName() {
+        
+        inputFrameworkOpName_ = getDefaultInstance().getInputFrameworkOpName();
+        onChanged();
+        return this;
+      }
+      /**
+       * string inputFrameworkOpName = 3;
+       */
+      public Builder setInputFrameworkOpNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        inputFrameworkOpName_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List rule_ =
+        java.util.Collections.emptyList();
+      private void ensureRuleIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          rule_ = new java.util.ArrayList(rule_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.MapperNamespace.MappingRule, org.nd4j.ir.MapperNamespace.MappingRule.Builder, org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder> ruleBuilder_;
+
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public java.util.List getRuleList() {
+        if (ruleBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(rule_);
+        } else {
+          return ruleBuilder_.getMessageList();
+        }
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public int getRuleCount() {
+        if (ruleBuilder_ == null) {
+          return rule_.size();
+        } else {
+          return ruleBuilder_.getCount();
+        }
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public org.nd4j.ir.MapperNamespace.MappingRule getRule(int index) {
+        if (ruleBuilder_ == null) {
+          return rule_.get(index);
+        } else {
+          return ruleBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder setRule(
+          int index, org.nd4j.ir.MapperNamespace.MappingRule value) {
+        if (ruleBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureRuleIsMutable();
+          rule_.set(index, value);
+          onChanged();
+        } else {
+          ruleBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder setRule(
+          int index, org.nd4j.ir.MapperNamespace.MappingRule.Builder builderForValue) {
+        if (ruleBuilder_ == null) {
+          ensureRuleIsMutable();
+          rule_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          ruleBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder addRule(org.nd4j.ir.MapperNamespace.MappingRule value) {
+        if (ruleBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureRuleIsMutable();
+          rule_.add(value);
+          onChanged();
+        } else {
+          ruleBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder addRule(
+          int index, org.nd4j.ir.MapperNamespace.MappingRule value) {
+        if (ruleBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureRuleIsMutable();
+          rule_.add(index, value);
+          onChanged();
+        } else {
+          ruleBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder addRule(
+          org.nd4j.ir.MapperNamespace.MappingRule.Builder builderForValue) {
+        if (ruleBuilder_ == null) {
+          ensureRuleIsMutable();
+          rule_.add(builderForValue.build());
+          onChanged();
+        } else {
+          ruleBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder addRule(
+          int index, org.nd4j.ir.MapperNamespace.MappingRule.Builder builderForValue) {
+        if (ruleBuilder_ == null) {
+          ensureRuleIsMutable();
+          rule_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          ruleBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder addAllRule(
+          java.lang.Iterable values) {
+        if (ruleBuilder_ == null) {
+          ensureRuleIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, rule_);
+          onChanged();
+        } else {
+          ruleBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder clearRule() {
+        if (ruleBuilder_ == null) {
+          rule_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          ruleBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public Builder removeRule(int index) {
+        if (ruleBuilder_ == null) {
+          ensureRuleIsMutable();
+          rule_.remove(index);
+          onChanged();
+        } else {
+          ruleBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public org.nd4j.ir.MapperNamespace.MappingRule.Builder getRuleBuilder(
+          int index) {
+        return getRuleFieldBuilder().getBuilder(index);
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder getRuleOrBuilder(
+          int index) {
+        if (ruleBuilder_ == null) {
+          return rule_.get(index);  } else {
+          return ruleBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public java.util.List 
+           getRuleOrBuilderList() {
+        if (ruleBuilder_ != null) {
+          return ruleBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(rule_);
+        }
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public org.nd4j.ir.MapperNamespace.MappingRule.Builder addRuleBuilder() {
+        return getRuleFieldBuilder().addBuilder(
+            org.nd4j.ir.MapperNamespace.MappingRule.getDefaultInstance());
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public org.nd4j.ir.MapperNamespace.MappingRule.Builder addRuleBuilder(
+          int index) {
+        return getRuleFieldBuilder().addBuilder(
+            index, org.nd4j.ir.MapperNamespace.MappingRule.getDefaultInstance());
+      }
+      /**
+       * 
        +       *the rules to apply for attributes
+       * 
        
+       *
+       * repeated .org.nd4j.ir.MappingRule rule = 4;
+       */
+      public java.util.List 
+           getRuleBuilderList() {
+        return getRuleFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.MapperNamespace.MappingRule, org.nd4j.ir.MapperNamespace.MappingRule.Builder, org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder> 
+          getRuleFieldBuilder() {
+        if (ruleBuilder_ == null) {
+          ruleBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.MapperNamespace.MappingRule, org.nd4j.ir.MapperNamespace.MappingRule.Builder, org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder>(
+                  rule_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          rule_ = null;
+        }
+        return ruleBuilder_;
+      }
+
+      private org.nd4j.shade.protobuf.MapField<
+          java.lang.Long, java.lang.Long> indexOverrides_;
+      private org.nd4j.shade.protobuf.MapField
+      internalGetIndexOverrides() {
+        if (indexOverrides_ == null) {
+          return org.nd4j.shade.protobuf.MapField.emptyMapField(
+              IndexOverridesDefaultEntryHolder.defaultEntry);
+        }
+        return indexOverrides_;
+      }
+      private org.nd4j.shade.protobuf.MapField
+      internalGetMutableIndexOverrides() {
+        onChanged();;
+        if (indexOverrides_ == null) {
+          indexOverrides_ = org.nd4j.shade.protobuf.MapField.newMapField(
+              IndexOverridesDefaultEntryHolder.defaultEntry);
+        }
+        if (!indexOverrides_.isMutable()) {
+          indexOverrides_ = indexOverrides_.copy();
+        }
+        return indexOverrides_;
+      }
+
+      public int getIndexOverridesCount() {
+        return internalGetIndexOverrides().getMap().size();
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+
+      public boolean containsIndexOverrides(
+          long key) {
+        
+        return internalGetIndexOverrides().getMap().containsKey(key);
+      }
+      /**
+       * Use {@link #getIndexOverridesMap()} instead.
+       */
+      @java.lang.Deprecated
+      public java.util.Map getIndexOverrides() {
+        return getIndexOverridesMap();
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+
+      public java.util.Map getIndexOverridesMap() {
+        return internalGetIndexOverrides().getMap();
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+
+      public long getIndexOverridesOrDefault(
+          long key,
+          long defaultValue) {
+        
+        java.util.Map map =
+            internalGetIndexOverrides().getMap();
+        return map.containsKey(key) ? map.get(key) : defaultValue;
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+
+      public long getIndexOverridesOrThrow(
+          long key) {
+        
+        java.util.Map map =
+            internalGetIndexOverrides().getMap();
+        if (!map.containsKey(key)) {
+          throw new java.lang.IllegalArgumentException();
+        }
+        return map.get(key);
+      }
+
+      public Builder clearIndexOverrides() {
+        internalGetMutableIndexOverrides().getMutableMap()
+            .clear();
+        return this;
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+
+      public Builder removeIndexOverrides(
+          long key) {
+        
+        internalGetMutableIndexOverrides().getMutableMap()
+            .remove(key);
+        return this;
+      }
+      /**
+       * Use alternate mutation accessors instead.
+       */
+      @java.lang.Deprecated
+      public java.util.Map
+      getMutableIndexOverrides() {
+        return internalGetMutableIndexOverrides().getMutableMap();
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+      public Builder putIndexOverrides(
+          long key,
+          long value) {
+        
+        
+        internalGetMutableIndexOverrides().getMutableMap()
+            .put(key, value);
+        return this;
+      }
+      /**
+       * map<int64, int64> indexOverrides = 5;
+       */
+
+      public Builder putAllIndexOverrides(
+          java.util.Map values) {
+        internalGetMutableIndexOverrides().getMutableMap()
+            .putAll(values);
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.MapperDeclaration)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.MapperDeclaration)
+    private static final org.nd4j.ir.MapperNamespace.MapperDeclaration DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.MapperNamespace.MapperDeclaration();
+    }
+
+    public static org.nd4j.ir.MapperNamespace.MapperDeclaration getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public MapperDeclaration parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new MapperDeclaration(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.MapperNamespace.MapperDeclaration getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_MappingRule_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_MappingRule_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_MappingRule_InputToOutputEntry_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_MappingRule_InputToOutputEntry_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TransformerArgs_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TransformerArgs_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_MappingDefinitionSet_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_MappingDefinitionSet_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_MapperDeclaration_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_MapperDeclaration_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_MapperDeclaration_IndexOverridesEntry_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_MapperDeclaration_IndexOverridesEntry_fieldAccessorTable;
+
+  public static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      getDescriptor() {
+    return descriptor;
+  }
+  private static  org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      descriptor;
+  static {
+    java.lang.String[] descriptorData = {
+      "\n\014mapper.proto\022\013org.nd4j.ir\032\010op.proto\"\201\005" +
+      "\n\013MappingRule\022\020\n\010ruleName\030\001 \001(\t\022\024\n\014funct" +
+      "ionName\030\002 \001(\t\022\033\n\023inputStringAttrName\030\003 \003" +
+      "(\t\022\034\n\024outputStringAttrName\030\004 \003(\t\022\024\n\014inpu" +
+      "tIntName\030\005 \003(\t\022\025\n\routputIntName\030\006 \003(\t\022\026\n" +
+      "\016inputFloatName\030\007 \003(\t\022\027\n\017outputFloatName" +
+      "\030\010 \003(\t\022\027\n\017inputDoubleName\030\t \003(\t\022\030\n\020outpu" +
+      "tDoubleName\030\n \003(\t\022\030\n\020inputBooleanName\030\013 " +
+      "\003(\t\022\031\n\021outputBooleanName\030\014 \003(\t\022\027\n\017inputT" +
+      "ensorName\030\r \003(\t\022\030\n\020outputTensorName\030\016 \003(" +
+      "\t\022\031\n\021inputDataTypeName\030\017 \003(\t\022\032\n\022outputDa" +
+      "taTypeName\030\020 \003(\t\022B\n\rinputToOutput\030\021 \003(\0132" +
+      "+.org.nd4j.ir.MappingRule.InputToOutputE" +
+      "ntry\022\020\n\010ruleType\030\022 \001(\t\0225\n\017transformerArg" +
+      "s\030\023 \003(\0132\034.org.nd4j.ir.TransformerArgs\022\034\n" +
+      "\024inputFrameworkOpName\030\024 \001(\t\0324\n\022InputToOu" +
+      "tputEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028" +
+      "\001\"S\n\017TransformerArgs\022\013\n\003key\030\001 \001(\t\0223\n\017tra" +
+      "nsformerArgs\030\002 \003(\0132\032.org.nd4j.ir.ArgDesc" +
+      "riptor\"V\n\024MappingDefinitionSet\0220\n\010mappin" +
+      "gs\030\001 \003(\0132\036.org.nd4j.ir.MapperDeclaration" +
+      "\022\014\n\004name\030\002 \003(\t\"\203\002\n\021MapperDeclaration\022\025\n\r" +
+      "frameworkName\030\001 \001(\t\022\016\n\006opName\030\002 \001(\t\022\034\n\024i" +
+      "nputFrameworkOpName\030\003 \001(\t\022&\n\004rule\030\004 \003(\0132" +
+      "\030.org.nd4j.ir.MappingRule\022J\n\016indexOverri" +
+      "des\030\005 \003(\01322.org.nd4j.ir.MapperDeclaratio" +
+      "n.IndexOverridesEntry\0325\n\023IndexOverridesE" +
+      "ntry\022\013\n\003key\030\001 \001(\003\022\r\n\005value\030\002 \001(\003:\0028\001*b\n\n" +
+      "OpListType\022\010\n\004TARG\020\000\022\010\n\004IARG\020\001\022\010\n\004BARG\020\002" +
+      "\022\014\n\010DTYPEARG\020\003\022\014\n\010INPUTARG\020\004\022\r\n\tOUTPUTAR" +
+      "G\020\005\022\013\n\007AXISARG\020\006B\021B\017MapperNamespaceb\006pro" +
+      "to3"
+    };
+    descriptor = org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      .internalBuildGeneratedFileFrom(descriptorData,
+        new org.nd4j.shade.protobuf.Descriptors.FileDescriptor[] {
+          org.nd4j.ir.OpNamespace.getDescriptor(),
+        });
+    internal_static_org_nd4j_ir_MappingRule_descriptor =
+      getDescriptor().getMessageTypes().get(0);
+    internal_static_org_nd4j_ir_MappingRule_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_MappingRule_descriptor,
+        new java.lang.String[] { "RuleName", "FunctionName", "InputStringAttrName", "OutputStringAttrName", "InputIntName", "OutputIntName", "InputFloatName", "OutputFloatName", "InputDoubleName", "OutputDoubleName", "InputBooleanName", "OutputBooleanName", "InputTensorName", "OutputTensorName", "InputDataTypeName", "OutputDataTypeName", "InputToOutput", "RuleType", "TransformerArgs", "InputFrameworkOpName", });
+    internal_static_org_nd4j_ir_MappingRule_InputToOutputEntry_descriptor =
+      internal_static_org_nd4j_ir_MappingRule_descriptor.getNestedTypes().get(0);
+    internal_static_org_nd4j_ir_MappingRule_InputToOutputEntry_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_MappingRule_InputToOutputEntry_descriptor,
+        new java.lang.String[] { "Key", "Value", });
+    internal_static_org_nd4j_ir_TransformerArgs_descriptor =
+      getDescriptor().getMessageTypes().get(1);
+    internal_static_org_nd4j_ir_TransformerArgs_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TransformerArgs_descriptor,
+        new java.lang.String[] { "Key", "TransformerArgs", });
+    internal_static_org_nd4j_ir_MappingDefinitionSet_descriptor =
+      getDescriptor().getMessageTypes().get(2);
+    internal_static_org_nd4j_ir_MappingDefinitionSet_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_MappingDefinitionSet_descriptor,
+        new java.lang.String[] { "Mappings", "Name", });
+    internal_static_org_nd4j_ir_MapperDeclaration_descriptor =
+      getDescriptor().getMessageTypes().get(3);
+    internal_static_org_nd4j_ir_MapperDeclaration_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_MapperDeclaration_descriptor,
+        new java.lang.String[] { "FrameworkName", "OpName", "InputFrameworkOpName", "Rule", "IndexOverrides", });
+    internal_static_org_nd4j_ir_MapperDeclaration_IndexOverridesEntry_descriptor =
+      internal_static_org_nd4j_ir_MapperDeclaration_descriptor.getNestedTypes().get(0);
+    internal_static_org_nd4j_ir_MapperDeclaration_IndexOverridesEntry_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_MapperDeclaration_IndexOverridesEntry_descriptor,
+        new java.lang.String[] { "Key", "Value", });
+    org.nd4j.ir.OpNamespace.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/OpNamespace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/OpNamespace.java
new file mode 100644
index 000000000..a7e826739
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/OpNamespace.java
@@ -0,0 +1,4096 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: op.proto
+
+package org.nd4j.ir;
+
+public final class OpNamespace {
+  private OpNamespace() {}
+  public static void registerAllExtensions(
+      org.nd4j.shade.protobuf.ExtensionRegistryLite registry) {
+  }
+
+  public static void registerAllExtensions(
+      org.nd4j.shade.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions(
+        (org.nd4j.shade.protobuf.ExtensionRegistryLite) registry);
+  }
+  public interface ArgDescriptorOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.ArgDescriptor)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * string name = 1;
+     */
+    java.lang.String getName();
+    /**
+     * string name = 1;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getNameBytes();
+
+    /**
+     * float floatValue = 2;
+     */
+    float getFloatValue();
+
+    /**
+     * double doubleValue = 3;
+     */
+    double getDoubleValue();
+
+    /**
+     * int32 int32Value = 4;
+     */
+    int getInt32Value();
+
+    /**
+     * int64 int64Value = 5;
+     */
+    long getInt64Value();
+
+    /**
+     * bool boolValue = 6;
+     */
+    boolean getBoolValue();
+
+    /**
+     * .org.nd4j.ir.DataType dataTypeValue = 7;
+     */
+    int getDataTypeValueValue();
+    /**
+     * .org.nd4j.ir.DataType dataTypeValue = 7;
+     */
+    org.nd4j.ir.TensorNamespace.DataType getDataTypeValue();
+
+    /**
+     * .org.nd4j.ir.TensorProto inputValue = 8;
+     */
+    boolean hasInputValue();
+    /**
+     * .org.nd4j.ir.TensorProto inputValue = 8;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProto getInputValue();
+    /**
+     * .org.nd4j.ir.TensorProto inputValue = 8;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder getInputValueOrBuilder();
+
+    /**
+     * .org.nd4j.ir.TensorProto outputValue = 9;
+     */
+    boolean hasOutputValue();
+    /**
+     * .org.nd4j.ir.TensorProto outputValue = 9;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProto getOutputValue();
+    /**
+     * .org.nd4j.ir.TensorProto outputValue = 9;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder getOutputValueOrBuilder();
+
+    /**
+     * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+     */
+    int getArgTypeValue();
+    /**
+     * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+     */
+    org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType getArgType();
+
+    /**
+     * int32 argIndex = 11;
+     */
+    int getArgIndex();
+
+    /**
+     * string stringValue = 12;
+     */
+    java.lang.String getStringValue();
+    /**
+     * string stringValue = 12;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getStringValueBytes();
+
+    /**
+     * bool argOptional = 13;
+     */
+    boolean getArgOptional();
+
+    /**
+     * bool convertBoolToInt = 14;
+     */
+    boolean getConvertBoolToInt();
+
+    /**
+     * bool isArray = 15;
+     */
+    boolean getIsArray();
+  }
+  /**
+   * Protobuf type {@code org.nd4j.ir.ArgDescriptor}
+   */
+  public  static final class ArgDescriptor extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.ArgDescriptor)
+      ArgDescriptorOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use ArgDescriptor.newBuilder() to construct.
+    private ArgDescriptor(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private ArgDescriptor() {
+      name_ = "";
+      dataTypeValue_ = 0;
+      argType_ = 0;
+      stringValue_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new ArgDescriptor();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private ArgDescriptor(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+            case 21: {
+
+              floatValue_ = input.readFloat();
+              break;
+            }
+            case 25: {
+
+              doubleValue_ = input.readDouble();
+              break;
+            }
+            case 32: {
+
+              int32Value_ = input.readInt32();
+              break;
+            }
+            case 40: {
+
+              int64Value_ = input.readInt64();
+              break;
+            }
+            case 48: {
+
+              boolValue_ = input.readBool();
+              break;
+            }
+            case 56: {
+              int rawValue = input.readEnum();
+
+              dataTypeValue_ = rawValue;
+              break;
+            }
+            case 66: {
+              org.nd4j.ir.TensorNamespace.TensorProto.Builder subBuilder = null;
+              if (inputValue_ != null) {
+                subBuilder = inputValue_.toBuilder();
+              }
+              inputValue_ = input.readMessage(org.nd4j.ir.TensorNamespace.TensorProto.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputValue_);
+                inputValue_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+            case 74: {
+              org.nd4j.ir.TensorNamespace.TensorProto.Builder subBuilder = null;
+              if (outputValue_ != null) {
+                subBuilder = outputValue_.toBuilder();
+              }
+              outputValue_ = input.readMessage(org.nd4j.ir.TensorNamespace.TensorProto.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputValue_);
+                outputValue_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+            case 80: {
+              int rawValue = input.readEnum();
+
+              argType_ = rawValue;
+              break;
+            }
+            case 88: {
+
+              argIndex_ = input.readInt32();
+              break;
+            }
+            case 98: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              stringValue_ = s;
+              break;
+            }
+            case 104: {
+
+              argOptional_ = input.readBool();
+              break;
+            }
+            case 112: {
+
+              convertBoolToInt_ = input.readBool();
+              break;
+            }
+            case 120: {
+
+              isArray_ = input.readBool();
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_ArgDescriptor_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_ArgDescriptor_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.OpNamespace.ArgDescriptor.class, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder.class);
+    }
+
+    /**
+     * Protobuf enum {@code org.nd4j.ir.ArgDescriptor.ArgType}
+     */
+    public enum ArgType
+        implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
+      /**
+       * FLOAT = 0;
+       */
+      FLOAT(0),
+      /**
+       * DOUBLE = 1;
+       */
+      DOUBLE(1),
+      /**
+       * INT32 = 2;
+       */
+      INT32(2),
+      /**
+       * INT64 = 3;
+       */
+      INT64(3),
+      /**
+       * BOOL = 4;
+       */
+      BOOL(4),
+      /**
+       * DATA_TYPE = 5;
+       */
+      DATA_TYPE(5),
+      /**
+       * INPUT_TENSOR = 6;
+       */
+      INPUT_TENSOR(6),
+      /**
+       * OUTPUT_TENSOR = 7;
+       */
+      OUTPUT_TENSOR(7),
+      /**
+       * STRING = 8;
+       */
+      STRING(8),
+      UNRECOGNIZED(-1),
+      ;
+
+      /**
+       * FLOAT = 0;
+       */
+      public static final int FLOAT_VALUE = 0;
+      /**
+       * DOUBLE = 1;
+       */
+      public static final int DOUBLE_VALUE = 1;
+      /**
+       * INT32 = 2;
+       */
+      public static final int INT32_VALUE = 2;
+      /**
+       * INT64 = 3;
+       */
+      public static final int INT64_VALUE = 3;
+      /**
+       * BOOL = 4;
+       */
+      public static final int BOOL_VALUE = 4;
+      /**
+       * DATA_TYPE = 5;
+       */
+      public static final int DATA_TYPE_VALUE = 5;
+      /**
+       * INPUT_TENSOR = 6;
+       */
+      public static final int INPUT_TENSOR_VALUE = 6;
+      /**
+       * OUTPUT_TENSOR = 7;
+       */
+      public static final int OUTPUT_TENSOR_VALUE = 7;
+      /**
+       * STRING = 8;
+       */
+      public static final int STRING_VALUE = 8;
+
+
+      public final int getNumber() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalArgumentException(
+              "Can't get the number of an unknown enum value.");
+        }
+        return value;
+      }
+
+      /**
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ArgType valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static ArgType forNumber(int value) {
+        switch (value) {
+          case 0: return FLOAT;
+          case 1: return DOUBLE;
+          case 2: return INT32;
+          case 3: return INT64;
+          case 4: return BOOL;
+          case 5: return DATA_TYPE;
+          case 6: return INPUT_TENSOR;
+          case 7: return OUTPUT_TENSOR;
+          case 8: return STRING;
+          default: return null;
+        }
+      }
+
+      public static org.nd4j.shade.protobuf.Internal.EnumLiteMap
+          internalGetValueMap() {
+        return internalValueMap;
+      }
+      private static final org.nd4j.shade.protobuf.Internal.EnumLiteMap<
+          ArgType> internalValueMap =
+            new org.nd4j.shade.protobuf.Internal.EnumLiteMap() {
+              public ArgType findValueByNumber(int number) {
+                return ArgType.forNumber(number);
+              }
+            };
+
+      public final org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor
+          getValueDescriptor() {
+        return getDescriptor().getValues().get(ordinal());
+      }
+      public final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+          getDescriptorForType() {
+        return getDescriptor();
+      }
+      public static final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+          getDescriptor() {
+        return org.nd4j.ir.OpNamespace.ArgDescriptor.getDescriptor().getEnumTypes().get(0);
+      }
+
+      private static final ArgType[] VALUES = values();
+
+      public static ArgType valueOf(
+          org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor desc) {
+        if (desc.getType() != getDescriptor()) {
+          throw new java.lang.IllegalArgumentException(
+            "EnumValueDescriptor is not for this type.");
+        }
+        if (desc.getIndex() == -1) {
+          return UNRECOGNIZED;
+        }
+        return VALUES[desc.getIndex()];
+      }
+
+      private final int value;
+
+      private ArgType(int value) {
+        this.value = value;
+      }
+
+      // @@protoc_insertion_point(enum_scope:org.nd4j.ir.ArgDescriptor.ArgType)
+    }
+
+    public static final int NAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object name_;
+    /**
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      }
+    }
+    /**
+     * string name = 1;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int FLOATVALUE_FIELD_NUMBER = 2;
+    private float floatValue_;
+    /**
+     * float floatValue = 2;
+     */
+    public float getFloatValue() {
+      return floatValue_;
+    }
+
+    public static final int DOUBLEVALUE_FIELD_NUMBER = 3;
+    private double doubleValue_;
+    /**
+     * double doubleValue = 3;
+     */
+    public double getDoubleValue() {
+      return doubleValue_;
+    }
+
+    public static final int INT32VALUE_FIELD_NUMBER = 4;
+    private int int32Value_;
+    /**
+     * int32 int32Value = 4;
+     */
+    public int getInt32Value() {
+      return int32Value_;
+    }
+
+    public static final int INT64VALUE_FIELD_NUMBER = 5;
+    private long int64Value_;
+    /**
+     * int64 int64Value = 5;
+     */
+    public long getInt64Value() {
+      return int64Value_;
+    }
+
+    public static final int BOOLVALUE_FIELD_NUMBER = 6;
+    private boolean boolValue_;
+    /**
+     * bool boolValue = 6;
+     */
+    public boolean getBoolValue() {
+      return boolValue_;
+    }
+
+    public static final int DATATYPEVALUE_FIELD_NUMBER = 7;
+    private int dataTypeValue_;
+    /**
+     * .org.nd4j.ir.DataType dataTypeValue = 7;
+     */
+    public int getDataTypeValueValue() {
+      return dataTypeValue_;
+    }
+    /**
+     * .org.nd4j.ir.DataType dataTypeValue = 7;
+     */
+    public org.nd4j.ir.TensorNamespace.DataType getDataTypeValue() {
+      @SuppressWarnings("deprecation")
+      org.nd4j.ir.TensorNamespace.DataType result = org.nd4j.ir.TensorNamespace.DataType.valueOf(dataTypeValue_);
+      return result == null ? org.nd4j.ir.TensorNamespace.DataType.UNRECOGNIZED : result;
+    }
+
+    public static final int INPUTVALUE_FIELD_NUMBER = 8;
+    private org.nd4j.ir.TensorNamespace.TensorProto inputValue_;
+    /**
+     * .org.nd4j.ir.TensorProto inputValue = 8;
+     */
+    public boolean hasInputValue() {
+      return inputValue_ != null;
+    }
+    /**
+     * .org.nd4j.ir.TensorProto inputValue = 8;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProto getInputValue() {
+      return inputValue_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance() : inputValue_;
+    }
+    /**
+     * .org.nd4j.ir.TensorProto inputValue = 8;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder getInputValueOrBuilder() {
+      return getInputValue();
+    }
+
+    public static final int OUTPUTVALUE_FIELD_NUMBER = 9;
+    private org.nd4j.ir.TensorNamespace.TensorProto outputValue_;
+    /**
+     * .org.nd4j.ir.TensorProto outputValue = 9;
+     */
+    public boolean hasOutputValue() {
+      return outputValue_ != null;
+    }
+    /**
+     * .org.nd4j.ir.TensorProto outputValue = 9;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProto getOutputValue() {
+      return outputValue_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance() : outputValue_;
+    }
+    /**
+     * .org.nd4j.ir.TensorProto outputValue = 9;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder getOutputValueOrBuilder() {
+      return getOutputValue();
+    }
+
+    public static final int ARGTYPE_FIELD_NUMBER = 10;
+    private int argType_;
+    /**
+     * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+     */
+    public int getArgTypeValue() {
+      return argType_;
+    }
+    /**
+     * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+     */
+    public org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType getArgType() {
+      @SuppressWarnings("deprecation")
+      org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType result = org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType.valueOf(argType_);
+      return result == null ? org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType.UNRECOGNIZED : result;
+    }
+
+    public static final int ARGINDEX_FIELD_NUMBER = 11;
+    private int argIndex_;
+    /**
+     * int32 argIndex = 11;
+     */
+    public int getArgIndex() {
+      return argIndex_;
+    }
+
+    public static final int STRINGVALUE_FIELD_NUMBER = 12;
+    private volatile java.lang.Object stringValue_;
+    /**
+     * string stringValue = 12;
+     */
+    public java.lang.String getStringValue() {
+      java.lang.Object ref = stringValue_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        stringValue_ = s;
+        return s;
+      }
+    }
+    /**
+     * string stringValue = 12;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getStringValueBytes() {
+      java.lang.Object ref = stringValue_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        stringValue_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int ARGOPTIONAL_FIELD_NUMBER = 13;
+    private boolean argOptional_;
+    /**
+     * bool argOptional = 13;
+     */
+    public boolean getArgOptional() {
+      return argOptional_;
+    }
+
+    public static final int CONVERTBOOLTOINT_FIELD_NUMBER = 14;
+    private boolean convertBoolToInt_;
+    /**
+     * bool convertBoolToInt = 14;
+     */
+    public boolean getConvertBoolToInt() {
+      return convertBoolToInt_;
+    }
+
+    public static final int ISARRAY_FIELD_NUMBER = 15;
+    private boolean isArray_;
+    /**
+     * bool isArray = 15;
+     */
+    public boolean getIsArray() {
+      return isArray_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      if (!getNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+      }
+      if (floatValue_ != 0F) {
+        output.writeFloat(2, floatValue_);
+      }
+      if (doubleValue_ != 0D) {
+        output.writeDouble(3, doubleValue_);
+      }
+      if (int32Value_ != 0) {
+        output.writeInt32(4, int32Value_);
+      }
+      if (int64Value_ != 0L) {
+        output.writeInt64(5, int64Value_);
+      }
+      if (boolValue_ != false) {
+        output.writeBool(6, boolValue_);
+      }
+      if (dataTypeValue_ != org.nd4j.ir.TensorNamespace.DataType.UNDEFINED.getNumber()) {
+        output.writeEnum(7, dataTypeValue_);
+      }
+      if (inputValue_ != null) {
+        output.writeMessage(8, getInputValue());
+      }
+      if (outputValue_ != null) {
+        output.writeMessage(9, getOutputValue());
+      }
+      if (argType_ != org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType.FLOAT.getNumber()) {
+        output.writeEnum(10, argType_);
+      }
+      if (argIndex_ != 0) {
+        output.writeInt32(11, argIndex_);
+      }
+      if (!getStringValueBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 12, stringValue_);
+      }
+      if (argOptional_ != false) {
+        output.writeBool(13, argOptional_);
+      }
+      if (convertBoolToInt_ != false) {
+        output.writeBool(14, convertBoolToInt_);
+      }
+      if (isArray_ != false) {
+        output.writeBool(15, isArray_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+      }
+      if (floatValue_ != 0F) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeFloatSize(2, floatValue_);
+      }
+      if (doubleValue_ != 0D) {
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+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.OpNamespace.ArgDescriptor)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.OpNamespace.ArgDescriptor other = (org.nd4j.ir.OpNamespace.ArgDescriptor) obj;
+
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+      if (hasInputValue() != other.hasInputValue()) return false;
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+      if (getArgIndex()
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+      if (!getStringValue()
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+      if (getArgOptional()
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+      if (getConvertBoolToInt()
+          != other.getConvertBoolToInt()) return false;
+      if (getIsArray()
+          != other.getIsArray()) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getName().hashCode();
+      hash = (37 * hash) + FLOATVALUE_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(
+          getFloatValue());
+      hash = (37 * hash) + DOUBLEVALUE_FIELD_NUMBER;
+      hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong(
+          java.lang.Double.doubleToLongBits(getDoubleValue()));
+      hash = (37 * hash) + INT32VALUE_FIELD_NUMBER;
+      hash = (53 * hash) + getInt32Value();
+      hash = (37 * hash) + INT64VALUE_FIELD_NUMBER;
+      hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong(
+          getInt64Value());
+      hash = (37 * hash) + BOOLVALUE_FIELD_NUMBER;
+      hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean(
+          getBoolValue());
+      hash = (37 * hash) + DATATYPEVALUE_FIELD_NUMBER;
+      hash = (53 * hash) + dataTypeValue_;
+      if (hasInputValue()) {
+        hash = (37 * hash) + INPUTVALUE_FIELD_NUMBER;
+        hash = (53 * hash) + getInputValue().hashCode();
+      }
+      if (hasOutputValue()) {
+        hash = (37 * hash) + OUTPUTVALUE_FIELD_NUMBER;
+        hash = (53 * hash) + getOutputValue().hashCode();
+      }
+      hash = (37 * hash) + ARGTYPE_FIELD_NUMBER;
+      hash = (53 * hash) + argType_;
+      hash = (37 * hash) + ARGINDEX_FIELD_NUMBER;
+      hash = (53 * hash) + getArgIndex();
+      hash = (37 * hash) + STRINGVALUE_FIELD_NUMBER;
+      hash = (53 * hash) + getStringValue().hashCode();
+      hash = (37 * hash) + ARGOPTIONAL_FIELD_NUMBER;
+      hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean(
+          getArgOptional());
+      hash = (37 * hash) + CONVERTBOOLTOINT_FIELD_NUMBER;
+      hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean(
+          getConvertBoolToInt());
+      hash = (37 * hash) + ISARRAY_FIELD_NUMBER;
+      hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean(
+          getIsArray());
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.OpNamespace.ArgDescriptor prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.ArgDescriptor}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.ArgDescriptor)
+        org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_ArgDescriptor_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_ArgDescriptor_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.OpNamespace.ArgDescriptor.class, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.OpNamespace.ArgDescriptor.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        name_ = "";
+
+        floatValue_ = 0F;
+
+        doubleValue_ = 0D;
+
+        int32Value_ = 0;
+
+        int64Value_ = 0L;
+
+        boolValue_ = false;
+
+        dataTypeValue_ = 0;
+
+        if (inputValueBuilder_ == null) {
+          inputValue_ = null;
+        } else {
+          inputValue_ = null;
+          inputValueBuilder_ = null;
+        }
+        if (outputValueBuilder_ == null) {
+          outputValue_ = null;
+        } else {
+          outputValue_ = null;
+          outputValueBuilder_ = null;
+        }
+        argType_ = 0;
+
+        argIndex_ = 0;
+
+        stringValue_ = "";
+
+        argOptional_ = false;
+
+        convertBoolToInt_ = false;
+
+        isArray_ = false;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_ArgDescriptor_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.ArgDescriptor getDefaultInstanceForType() {
+        return org.nd4j.ir.OpNamespace.ArgDescriptor.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.ArgDescriptor build() {
+        org.nd4j.ir.OpNamespace.ArgDescriptor result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.ArgDescriptor buildPartial() {
+        org.nd4j.ir.OpNamespace.ArgDescriptor result = new org.nd4j.ir.OpNamespace.ArgDescriptor(this);
+        result.name_ = name_;
+        result.floatValue_ = floatValue_;
+        result.doubleValue_ = doubleValue_;
+        result.int32Value_ = int32Value_;
+        result.int64Value_ = int64Value_;
+        result.boolValue_ = boolValue_;
+        result.dataTypeValue_ = dataTypeValue_;
+        if (inputValueBuilder_ == null) {
+          result.inputValue_ = inputValue_;
+        } else {
+          result.inputValue_ = inputValueBuilder_.build();
+        }
+        if (outputValueBuilder_ == null) {
+          result.outputValue_ = outputValue_;
+        } else {
+          result.outputValue_ = outputValueBuilder_.build();
+        }
+        result.argType_ = argType_;
+        result.argIndex_ = argIndex_;
+        result.stringValue_ = stringValue_;
+        result.argOptional_ = argOptional_;
+        result.convertBoolToInt_ = convertBoolToInt_;
+        result.isArray_ = isArray_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.OpNamespace.ArgDescriptor) {
+          return mergeFrom((org.nd4j.ir.OpNamespace.ArgDescriptor)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.OpNamespace.ArgDescriptor other) {
+        if (other == org.nd4j.ir.OpNamespace.ArgDescriptor.getDefaultInstance()) return this;
+        if (!other.getName().isEmpty()) {
+          name_ = other.name_;
+          onChanged();
+        }
+        if (other.getFloatValue() != 0F) {
+          setFloatValue(other.getFloatValue());
+        }
+        if (other.getDoubleValue() != 0D) {
+          setDoubleValue(other.getDoubleValue());
+        }
+        if (other.getInt32Value() != 0) {
+          setInt32Value(other.getInt32Value());
+        }
+        if (other.getInt64Value() != 0L) {
+          setInt64Value(other.getInt64Value());
+        }
+        if (other.getBoolValue() != false) {
+          setBoolValue(other.getBoolValue());
+        }
+        if (other.dataTypeValue_ != 0) {
+          setDataTypeValueValue(other.getDataTypeValueValue());
+        }
+        if (other.hasInputValue()) {
+          mergeInputValue(other.getInputValue());
+        }
+        if (other.hasOutputValue()) {
+          mergeOutputValue(other.getOutputValue());
+        }
+        if (other.argType_ != 0) {
+          setArgTypeValue(other.getArgTypeValue());
+        }
+        if (other.getArgIndex() != 0) {
+          setArgIndex(other.getArgIndex());
+        }
+        if (!other.getStringValue().isEmpty()) {
+          stringValue_ = other.stringValue_;
+          onChanged();
+        }
+        if (other.getArgOptional() != false) {
+          setArgOptional(other.getArgOptional());
+        }
+        if (other.getConvertBoolToInt() != false) {
+          setConvertBoolToInt(other.getConvertBoolToInt());
+        }
+        if (other.getIsArray() != false) {
+          setIsArray(other.getIsArray());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.OpNamespace.ArgDescriptor parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.OpNamespace.ArgDescriptor) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object name_ = "";
+      /**
+       * string name = 1;
+       */
+      public java.lang.String getName() {
+        java.lang.Object ref = name_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          name_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string name = 1;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getNameBytes() {
+        java.lang.Object ref = name_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          name_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string name = 1;
+       */
+      public Builder setName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        name_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string name = 1;
+       */
+      public Builder clearName() {
+        
+        name_ = getDefaultInstance().getName();
+        onChanged();
+        return this;
+      }
+      /**
+       * string name = 1;
+       */
+      public Builder setNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        name_ = value;
+        onChanged();
+        return this;
+      }
+
+      private float floatValue_ ;
+      /**
+       * float floatValue = 2;
+       */
+      public float getFloatValue() {
+        return floatValue_;
+      }
+      /**
+       * float floatValue = 2;
+       */
+      public Builder setFloatValue(float value) {
+        
+        floatValue_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * float floatValue = 2;
+       */
+      public Builder clearFloatValue() {
+        
+        floatValue_ = 0F;
+        onChanged();
+        return this;
+      }
+
+      private double doubleValue_ ;
+      /**
+       * double doubleValue = 3;
+       */
+      public double getDoubleValue() {
+        return doubleValue_;
+      }
+      /**
+       * double doubleValue = 3;
+       */
+      public Builder setDoubleValue(double value) {
+        
+        doubleValue_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * double doubleValue = 3;
+       */
+      public Builder clearDoubleValue() {
+        
+        doubleValue_ = 0D;
+        onChanged();
+        return this;
+      }
+
+      private int int32Value_ ;
+      /**
+       * int32 int32Value = 4;
+       */
+      public int getInt32Value() {
+        return int32Value_;
+      }
+      /**
+       * int32 int32Value = 4;
+       */
+      public Builder setInt32Value(int value) {
+        
+        int32Value_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * int32 int32Value = 4;
+       */
+      public Builder clearInt32Value() {
+        
+        int32Value_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private long int64Value_ ;
+      /**
+       * int64 int64Value = 5;
+       */
+      public long getInt64Value() {
+        return int64Value_;
+      }
+      /**
+       * int64 int64Value = 5;
+       */
+      public Builder setInt64Value(long value) {
+        
+        int64Value_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * int64 int64Value = 5;
+       */
+      public Builder clearInt64Value() {
+        
+        int64Value_ = 0L;
+        onChanged();
+        return this;
+      }
+
+      private boolean boolValue_ ;
+      /**
+       * bool boolValue = 6;
+       */
+      public boolean getBoolValue() {
+        return boolValue_;
+      }
+      /**
+       * bool boolValue = 6;
+       */
+      public Builder setBoolValue(boolean value) {
+        
+        boolValue_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * bool boolValue = 6;
+       */
+      public Builder clearBoolValue() {
+        
+        boolValue_ = false;
+        onChanged();
+        return this;
+      }
+
+      private int dataTypeValue_ = 0;
+      /**
+       * .org.nd4j.ir.DataType dataTypeValue = 7;
+       */
+      public int getDataTypeValueValue() {
+        return dataTypeValue_;
+      }
+      /**
+       * .org.nd4j.ir.DataType dataTypeValue = 7;
+       */
+      public Builder setDataTypeValueValue(int value) {
+        dataTypeValue_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.DataType dataTypeValue = 7;
+       */
+      public org.nd4j.ir.TensorNamespace.DataType getDataTypeValue() {
+        @SuppressWarnings("deprecation")
+        org.nd4j.ir.TensorNamespace.DataType result = org.nd4j.ir.TensorNamespace.DataType.valueOf(dataTypeValue_);
+        return result == null ? org.nd4j.ir.TensorNamespace.DataType.UNRECOGNIZED : result;
+      }
+      /**
+       * .org.nd4j.ir.DataType dataTypeValue = 7;
+       */
+      public Builder setDataTypeValue(org.nd4j.ir.TensorNamespace.DataType value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        
+        dataTypeValue_ = value.getNumber();
+        onChanged();
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.DataType dataTypeValue = 7;
+       */
+      public Builder clearDataTypeValue() {
+        
+        dataTypeValue_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.ir.TensorNamespace.TensorProto inputValue_;
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorProto, org.nd4j.ir.TensorNamespace.TensorProto.Builder, org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder> inputValueBuilder_;
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public boolean hasInputValue() {
+        return inputValueBuilder_ != null || inputValue_ != null;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto getInputValue() {
+        if (inputValueBuilder_ == null) {
+          return inputValue_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance() : inputValue_;
+        } else {
+          return inputValueBuilder_.getMessage();
+        }
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public Builder setInputValue(org.nd4j.ir.TensorNamespace.TensorProto value) {
+        if (inputValueBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          inputValue_ = value;
+          onChanged();
+        } else {
+          inputValueBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public Builder setInputValue(
+          org.nd4j.ir.TensorNamespace.TensorProto.Builder builderForValue) {
+        if (inputValueBuilder_ == null) {
+          inputValue_ = builderForValue.build();
+          onChanged();
+        } else {
+          inputValueBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public Builder mergeInputValue(org.nd4j.ir.TensorNamespace.TensorProto value) {
+        if (inputValueBuilder_ == null) {
+          if (inputValue_ != null) {
+            inputValue_ =
+              org.nd4j.ir.TensorNamespace.TensorProto.newBuilder(inputValue_).mergeFrom(value).buildPartial();
+          } else {
+            inputValue_ = value;
+          }
+          onChanged();
+        } else {
+          inputValueBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public Builder clearInputValue() {
+        if (inputValueBuilder_ == null) {
+          inputValue_ = null;
+          onChanged();
+        } else {
+          inputValue_ = null;
+          inputValueBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto.Builder getInputValueBuilder() {
+        
+        onChanged();
+        return getInputValueFieldBuilder().getBuilder();
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder getInputValueOrBuilder() {
+        if (inputValueBuilder_ != null) {
+          return inputValueBuilder_.getMessageOrBuilder();
+        } else {
+          return inputValue_ == null ?
+              org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance() : inputValue_;
+        }
+      }
+      /**
+       * .org.nd4j.ir.TensorProto inputValue = 8;
+       */
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorProto, org.nd4j.ir.TensorNamespace.TensorProto.Builder, org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder> 
+          getInputValueFieldBuilder() {
+        if (inputValueBuilder_ == null) {
+          inputValueBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.TensorProto, org.nd4j.ir.TensorNamespace.TensorProto.Builder, org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder>(
+                  getInputValue(),
+                  getParentForChildren(),
+                  isClean());
+          inputValue_ = null;
+        }
+        return inputValueBuilder_;
+      }
+
+      private org.nd4j.ir.TensorNamespace.TensorProto outputValue_;
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorProto, org.nd4j.ir.TensorNamespace.TensorProto.Builder, org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder> outputValueBuilder_;
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public boolean hasOutputValue() {
+        return outputValueBuilder_ != null || outputValue_ != null;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto getOutputValue() {
+        if (outputValueBuilder_ == null) {
+          return outputValue_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance() : outputValue_;
+        } else {
+          return outputValueBuilder_.getMessage();
+        }
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public Builder setOutputValue(org.nd4j.ir.TensorNamespace.TensorProto value) {
+        if (outputValueBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          outputValue_ = value;
+          onChanged();
+        } else {
+          outputValueBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public Builder setOutputValue(
+          org.nd4j.ir.TensorNamespace.TensorProto.Builder builderForValue) {
+        if (outputValueBuilder_ == null) {
+          outputValue_ = builderForValue.build();
+          onChanged();
+        } else {
+          outputValueBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public Builder mergeOutputValue(org.nd4j.ir.TensorNamespace.TensorProto value) {
+        if (outputValueBuilder_ == null) {
+          if (outputValue_ != null) {
+            outputValue_ =
+              org.nd4j.ir.TensorNamespace.TensorProto.newBuilder(outputValue_).mergeFrom(value).buildPartial();
+          } else {
+            outputValue_ = value;
+          }
+          onChanged();
+        } else {
+          outputValueBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public Builder clearOutputValue() {
+        if (outputValueBuilder_ == null) {
+          outputValue_ = null;
+          onChanged();
+        } else {
+          outputValue_ = null;
+          outputValueBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto.Builder getOutputValueBuilder() {
+        
+        onChanged();
+        return getOutputValueFieldBuilder().getBuilder();
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder getOutputValueOrBuilder() {
+        if (outputValueBuilder_ != null) {
+          return outputValueBuilder_.getMessageOrBuilder();
+        } else {
+          return outputValue_ == null ?
+              org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance() : outputValue_;
+        }
+      }
+      /**
+       * .org.nd4j.ir.TensorProto outputValue = 9;
+       */
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorProto, org.nd4j.ir.TensorNamespace.TensorProto.Builder, org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder> 
+          getOutputValueFieldBuilder() {
+        if (outputValueBuilder_ == null) {
+          outputValueBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.TensorProto, org.nd4j.ir.TensorNamespace.TensorProto.Builder, org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder>(
+                  getOutputValue(),
+                  getParentForChildren(),
+                  isClean());
+          outputValue_ = null;
+        }
+        return outputValueBuilder_;
+      }
+
+      private int argType_ = 0;
+      /**
+       * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+       */
+      public int getArgTypeValue() {
+        return argType_;
+      }
+      /**
+       * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+       */
+      public Builder setArgTypeValue(int value) {
+        argType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType getArgType() {
+        @SuppressWarnings("deprecation")
+        org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType result = org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType.valueOf(argType_);
+        return result == null ? org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType.UNRECOGNIZED : result;
+      }
+      /**
+       * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+       */
+      public Builder setArgType(org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        
+        argType_ = value.getNumber();
+        onChanged();
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.ArgDescriptor.ArgType argType = 10;
+       */
+      public Builder clearArgType() {
+        
+        argType_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private int argIndex_ ;
+      /**
+       * int32 argIndex = 11;
+       */
+      public int getArgIndex() {
+        return argIndex_;
+      }
+      /**
+       * int32 argIndex = 11;
+       */
+      public Builder setArgIndex(int value) {
+        
+        argIndex_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * int32 argIndex = 11;
+       */
+      public Builder clearArgIndex() {
+        
+        argIndex_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object stringValue_ = "";
+      /**
+       * string stringValue = 12;
+       */
+      public java.lang.String getStringValue() {
+        java.lang.Object ref = stringValue_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          stringValue_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string stringValue = 12;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getStringValueBytes() {
+        java.lang.Object ref = stringValue_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          stringValue_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string stringValue = 12;
+       */
+      public Builder setStringValue(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        stringValue_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string stringValue = 12;
+       */
+      public Builder clearStringValue() {
+        
+        stringValue_ = getDefaultInstance().getStringValue();
+        onChanged();
+        return this;
+      }
+      /**
+       * string stringValue = 12;
+       */
+      public Builder setStringValueBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        stringValue_ = value;
+        onChanged();
+        return this;
+      }
+
+      private boolean argOptional_ ;
+      /**
+       * bool argOptional = 13;
+       */
+      public boolean getArgOptional() {
+        return argOptional_;
+      }
+      /**
+       * bool argOptional = 13;
+       */
+      public Builder setArgOptional(boolean value) {
+        
+        argOptional_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * bool argOptional = 13;
+       */
+      public Builder clearArgOptional() {
+        
+        argOptional_ = false;
+        onChanged();
+        return this;
+      }
+
+      private boolean convertBoolToInt_ ;
+      /**
+       * bool convertBoolToInt = 14;
+       */
+      public boolean getConvertBoolToInt() {
+        return convertBoolToInt_;
+      }
+      /**
+       * bool convertBoolToInt = 14;
+       */
+      public Builder setConvertBoolToInt(boolean value) {
+        
+        convertBoolToInt_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * bool convertBoolToInt = 14;
+       */
+      public Builder clearConvertBoolToInt() {
+        
+        convertBoolToInt_ = false;
+        onChanged();
+        return this;
+      }
+
+      private boolean isArray_ ;
+      /**
+       * bool isArray = 15;
+       */
+      public boolean getIsArray() {
+        return isArray_;
+      }
+      /**
+       * bool isArray = 15;
+       */
+      public Builder setIsArray(boolean value) {
+        
+        isArray_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * bool isArray = 15;
+       */
+      public Builder clearIsArray() {
+        
+        isArray_ = false;
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.ArgDescriptor)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.ArgDescriptor)
+    private static final org.nd4j.ir.OpNamespace.ArgDescriptor DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.OpNamespace.ArgDescriptor();
+    }
+
+    public static org.nd4j.ir.OpNamespace.ArgDescriptor getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public ArgDescriptor parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new ArgDescriptor(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.OpNamespace.ArgDescriptor getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface OpDescriptorOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.OpDescriptor)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * string name = 1;
+     */
+    java.lang.String getName();
+    /**
+     * string name = 1;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getNameBytes();
+
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    java.util.List 
+        getArgDescriptorList();
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    org.nd4j.ir.OpNamespace.ArgDescriptor getArgDescriptor(int index);
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    int getArgDescriptorCount();
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    java.util.List 
+        getArgDescriptorOrBuilderList();
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder getArgDescriptorOrBuilder(
+        int index);
+
+    /**
+     * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+     */
+    int getOpDeclarationTypeValue();
+    /**
+     * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+     */
+    org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType getOpDeclarationType();
+  }
+  /**
+   * 
        +   *Op descriptor
+   * 
        
+   *
+   * Protobuf type {@code org.nd4j.ir.OpDescriptor}
+   */
+  public  static final class OpDescriptor extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.OpDescriptor)
+      OpDescriptorOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use OpDescriptor.newBuilder() to construct.
+    private OpDescriptor(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private OpDescriptor() {
+      name_ = "";
+      argDescriptor_ = java.util.Collections.emptyList();
+      opDeclarationType_ = 0;
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new OpDescriptor();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private OpDescriptor(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+            case 18: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                argDescriptor_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              argDescriptor_.add(
+                  input.readMessage(org.nd4j.ir.OpNamespace.ArgDescriptor.parser(), extensionRegistry));
+              break;
+            }
+            case 24: {
+              int rawValue = input.readEnum();
+
+              opDeclarationType_ = rawValue;
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          argDescriptor_ = java.util.Collections.unmodifiableList(argDescriptor_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptor_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptor_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.OpNamespace.OpDescriptor.class, org.nd4j.ir.OpNamespace.OpDescriptor.Builder.class);
+    }
+
+    /**
+     * Protobuf enum {@code org.nd4j.ir.OpDescriptor.OpDeclarationType}
+     */
+    public enum OpDeclarationType
+        implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
+      /**
+       * CUSTOM_OP_IMPL = 0;
+       */
+      CUSTOM_OP_IMPL(0),
+      /**
+       * BOOLEAN_OP_IMPL = 1;
+       */
+      BOOLEAN_OP_IMPL(1),
+      /**
+       * LIST_OP_IMPL = 2;
+       */
+      LIST_OP_IMPL(2),
+      /**
+       * LOGIC_OP_IMPL = 3;
+       */
+      LOGIC_OP_IMPL(3),
+      /**
+       * OP_IMPL = 4;
+       */
+      OP_IMPL(4),
+      /**
+       * DIVERGENT_OP_IMPL = 6;
+       */
+      DIVERGENT_OP_IMPL(6),
+      /**
+       * CONFIGURABLE_OP_IMPL = 7;
+       */
+      CONFIGURABLE_OP_IMPL(7),
+      /**
+       * REDUCTION_OP_IMPL = 8;
+       */
+      REDUCTION_OP_IMPL(8),
+      /**
+       * BROADCASTABLE_OP_IMPL = 9;
+       */
+      BROADCASTABLE_OP_IMPL(9),
+      /**
+       * BROADCASTABLE_BOOL_OP_IMPL = 10;
+       */
+      BROADCASTABLE_BOOL_OP_IMPL(10),
+      /**
+       * LEGACY_XYZ = 11;
+       */
+      LEGACY_XYZ(11),
+      /**
+       * PLATFORM_IMPL = 12;
+       */
+      PLATFORM_IMPL(12),
+      UNRECOGNIZED(-1),
+      ;
+
+      /**
+       * CUSTOM_OP_IMPL = 0;
+       */
+      public static final int CUSTOM_OP_IMPL_VALUE = 0;
+      /**
+       * BOOLEAN_OP_IMPL = 1;
+       */
+      public static final int BOOLEAN_OP_IMPL_VALUE = 1;
+      /**
+       * LIST_OP_IMPL = 2;
+       */
+      public static final int LIST_OP_IMPL_VALUE = 2;
+      /**
+       * LOGIC_OP_IMPL = 3;
+       */
+      public static final int LOGIC_OP_IMPL_VALUE = 3;
+      /**
+       * OP_IMPL = 4;
+       */
+      public static final int OP_IMPL_VALUE = 4;
+      /**
+       * DIVERGENT_OP_IMPL = 6;
+       */
+      public static final int DIVERGENT_OP_IMPL_VALUE = 6;
+      /**
+       * CONFIGURABLE_OP_IMPL = 7;
+       */
+      public static final int CONFIGURABLE_OP_IMPL_VALUE = 7;
+      /**
+       * REDUCTION_OP_IMPL = 8;
+       */
+      public static final int REDUCTION_OP_IMPL_VALUE = 8;
+      /**
+       * BROADCASTABLE_OP_IMPL = 9;
+       */
+      public static final int BROADCASTABLE_OP_IMPL_VALUE = 9;
+      /**
+       * BROADCASTABLE_BOOL_OP_IMPL = 10;
+       */
+      public static final int BROADCASTABLE_BOOL_OP_IMPL_VALUE = 10;
+      /**
+       * LEGACY_XYZ = 11;
+       */
+      public static final int LEGACY_XYZ_VALUE = 11;
+      /**
+       * PLATFORM_IMPL = 12;
+       */
+      public static final int PLATFORM_IMPL_VALUE = 12;
+
+
+      public final int getNumber() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalArgumentException(
+              "Can't get the number of an unknown enum value.");
+        }
+        return value;
+      }
+
+      /**
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static OpDeclarationType valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static OpDeclarationType forNumber(int value) {
+        switch (value) {
+          case 0: return CUSTOM_OP_IMPL;
+          case 1: return BOOLEAN_OP_IMPL;
+          case 2: return LIST_OP_IMPL;
+          case 3: return LOGIC_OP_IMPL;
+          case 4: return OP_IMPL;
+          case 6: return DIVERGENT_OP_IMPL;
+          case 7: return CONFIGURABLE_OP_IMPL;
+          case 8: return REDUCTION_OP_IMPL;
+          case 9: return BROADCASTABLE_OP_IMPL;
+          case 10: return BROADCASTABLE_BOOL_OP_IMPL;
+          case 11: return LEGACY_XYZ;
+          case 12: return PLATFORM_IMPL;
+          default: return null;
+        }
+      }
+
+      public static org.nd4j.shade.protobuf.Internal.EnumLiteMap
+          internalGetValueMap() {
+        return internalValueMap;
+      }
+      private static final org.nd4j.shade.protobuf.Internal.EnumLiteMap<
+          OpDeclarationType> internalValueMap =
+            new org.nd4j.shade.protobuf.Internal.EnumLiteMap() {
+              public OpDeclarationType findValueByNumber(int number) {
+                return OpDeclarationType.forNumber(number);
+              }
+            };
+
+      public final org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor
+          getValueDescriptor() {
+        return getDescriptor().getValues().get(ordinal());
+      }
+      public final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+          getDescriptorForType() {
+        return getDescriptor();
+      }
+      public static final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+          getDescriptor() {
+        return org.nd4j.ir.OpNamespace.OpDescriptor.getDescriptor().getEnumTypes().get(0);
+      }
+
+      private static final OpDeclarationType[] VALUES = values();
+
+      public static OpDeclarationType valueOf(
+          org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor desc) {
+        if (desc.getType() != getDescriptor()) {
+          throw new java.lang.IllegalArgumentException(
+            "EnumValueDescriptor is not for this type.");
+        }
+        if (desc.getIndex() == -1) {
+          return UNRECOGNIZED;
+        }
+        return VALUES[desc.getIndex()];
+      }
+
+      private final int value;
+
+      private OpDeclarationType(int value) {
+        this.value = value;
+      }
+
+      // @@protoc_insertion_point(enum_scope:org.nd4j.ir.OpDescriptor.OpDeclarationType)
+    }
+
+    public static final int NAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object name_;
+    /**
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      }
+    }
+    /**
+     * string name = 1;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int ARGDESCRIPTOR_FIELD_NUMBER = 2;
+    private java.util.List argDescriptor_;
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    public java.util.List getArgDescriptorList() {
+      return argDescriptor_;
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    public java.util.List 
+        getArgDescriptorOrBuilderList() {
+      return argDescriptor_;
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    public int getArgDescriptorCount() {
+      return argDescriptor_.size();
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    public org.nd4j.ir.OpNamespace.ArgDescriptor getArgDescriptor(int index) {
+      return argDescriptor_.get(index);
+    }
+    /**
+     * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+     */
+    public org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder getArgDescriptorOrBuilder(
+        int index) {
+      return argDescriptor_.get(index);
+    }
+
+    public static final int OPDECLARATIONTYPE_FIELD_NUMBER = 3;
+    private int opDeclarationType_;
+    /**
+     * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+     */
+    public int getOpDeclarationTypeValue() {
+      return opDeclarationType_;
+    }
+    /**
+     * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+     */
+    public org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType getOpDeclarationType() {
+      @SuppressWarnings("deprecation")
+      org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType result = org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType.valueOf(opDeclarationType_);
+      return result == null ? org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType.UNRECOGNIZED : result;
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      if (!getNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+      }
+      for (int i = 0; i < argDescriptor_.size(); i++) {
+        output.writeMessage(2, argDescriptor_.get(i));
+      }
+      if (opDeclarationType_ != org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType.CUSTOM_OP_IMPL.getNumber()) {
+        output.writeEnum(3, opDeclarationType_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+      }
+      for (int i = 0; i < argDescriptor_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(2, argDescriptor_.get(i));
+      }
+      if (opDeclarationType_ != org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType.CUSTOM_OP_IMPL.getNumber()) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeEnumSize(3, opDeclarationType_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.OpNamespace.OpDescriptor)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.OpNamespace.OpDescriptor other = (org.nd4j.ir.OpNamespace.OpDescriptor) obj;
+
+      if (!getName()
+          .equals(other.getName())) return false;
+      if (!getArgDescriptorList()
+          .equals(other.getArgDescriptorList())) return false;
+      if (opDeclarationType_ != other.opDeclarationType_) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getName().hashCode();
+      if (getArgDescriptorCount() > 0) {
+        hash = (37 * hash) + ARGDESCRIPTOR_FIELD_NUMBER;
+        hash = (53 * hash) + getArgDescriptorList().hashCode();
+      }
+      hash = (37 * hash) + OPDECLARATIONTYPE_FIELD_NUMBER;
+      hash = (53 * hash) + opDeclarationType_;
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptor parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.OpNamespace.OpDescriptor prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * 
        +     *Op descriptor
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.OpDescriptor}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.OpDescriptor)
+        org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptor_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptor_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.OpNamespace.OpDescriptor.class, org.nd4j.ir.OpNamespace.OpDescriptor.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.OpNamespace.OpDescriptor.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getArgDescriptorFieldBuilder();
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        name_ = "";
+
+        if (argDescriptorBuilder_ == null) {
+          argDescriptor_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          argDescriptorBuilder_.clear();
+        }
+        opDeclarationType_ = 0;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptor_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.OpDescriptor getDefaultInstanceForType() {
+        return org.nd4j.ir.OpNamespace.OpDescriptor.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.OpDescriptor build() {
+        org.nd4j.ir.OpNamespace.OpDescriptor result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.OpDescriptor buildPartial() {
+        org.nd4j.ir.OpNamespace.OpDescriptor result = new org.nd4j.ir.OpNamespace.OpDescriptor(this);
+        int from_bitField0_ = bitField0_;
+        result.name_ = name_;
+        if (argDescriptorBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            argDescriptor_ = java.util.Collections.unmodifiableList(argDescriptor_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.argDescriptor_ = argDescriptor_;
+        } else {
+          result.argDescriptor_ = argDescriptorBuilder_.build();
+        }
+        result.opDeclarationType_ = opDeclarationType_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.OpNamespace.OpDescriptor) {
+          return mergeFrom((org.nd4j.ir.OpNamespace.OpDescriptor)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.OpNamespace.OpDescriptor other) {
+        if (other == org.nd4j.ir.OpNamespace.OpDescriptor.getDefaultInstance()) return this;
+        if (!other.getName().isEmpty()) {
+          name_ = other.name_;
+          onChanged();
+        }
+        if (argDescriptorBuilder_ == null) {
+          if (!other.argDescriptor_.isEmpty()) {
+            if (argDescriptor_.isEmpty()) {
+              argDescriptor_ = other.argDescriptor_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureArgDescriptorIsMutable();
+              argDescriptor_.addAll(other.argDescriptor_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.argDescriptor_.isEmpty()) {
+            if (argDescriptorBuilder_.isEmpty()) {
+              argDescriptorBuilder_.dispose();
+              argDescriptorBuilder_ = null;
+              argDescriptor_ = other.argDescriptor_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              argDescriptorBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
+                   getArgDescriptorFieldBuilder() : null;
+            } else {
+              argDescriptorBuilder_.addAllMessages(other.argDescriptor_);
+            }
+          }
+        }
+        if (other.opDeclarationType_ != 0) {
+          setOpDeclarationTypeValue(other.getOpDeclarationTypeValue());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.OpNamespace.OpDescriptor parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.OpNamespace.OpDescriptor) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.lang.Object name_ = "";
+      /**
+       * string name = 1;
+       */
+      public java.lang.String getName() {
+        java.lang.Object ref = name_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          name_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string name = 1;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getNameBytes() {
+        java.lang.Object ref = name_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          name_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string name = 1;
+       */
+      public Builder setName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        name_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string name = 1;
+       */
+      public Builder clearName() {
+        
+        name_ = getDefaultInstance().getName();
+        onChanged();
+        return this;
+      }
+      /**
+       * string name = 1;
+       */
+      public Builder setNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        name_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List argDescriptor_ =
+        java.util.Collections.emptyList();
+      private void ensureArgDescriptorIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          argDescriptor_ = new java.util.ArrayList(argDescriptor_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.OpNamespace.ArgDescriptor, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder, org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder> argDescriptorBuilder_;
+
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public java.util.List getArgDescriptorList() {
+        if (argDescriptorBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(argDescriptor_);
+        } else {
+          return argDescriptorBuilder_.getMessageList();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public int getArgDescriptorCount() {
+        if (argDescriptorBuilder_ == null) {
+          return argDescriptor_.size();
+        } else {
+          return argDescriptorBuilder_.getCount();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor getArgDescriptor(int index) {
+        if (argDescriptorBuilder_ == null) {
+          return argDescriptor_.get(index);
+        } else {
+          return argDescriptorBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder setArgDescriptor(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor value) {
+        if (argDescriptorBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.set(index, value);
+          onChanged();
+        } else {
+          argDescriptorBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder setArgDescriptor(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder builderForValue) {
+        if (argDescriptorBuilder_ == null) {
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          argDescriptorBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder addArgDescriptor(org.nd4j.ir.OpNamespace.ArgDescriptor value) {
+        if (argDescriptorBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.add(value);
+          onChanged();
+        } else {
+          argDescriptorBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder addArgDescriptor(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor value) {
+        if (argDescriptorBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.add(index, value);
+          onChanged();
+        } else {
+          argDescriptorBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder addArgDescriptor(
+          org.nd4j.ir.OpNamespace.ArgDescriptor.Builder builderForValue) {
+        if (argDescriptorBuilder_ == null) {
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.add(builderForValue.build());
+          onChanged();
+        } else {
+          argDescriptorBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder addArgDescriptor(
+          int index, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder builderForValue) {
+        if (argDescriptorBuilder_ == null) {
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          argDescriptorBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder addAllArgDescriptor(
+          java.lang.Iterable values) {
+        if (argDescriptorBuilder_ == null) {
+          ensureArgDescriptorIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, argDescriptor_);
+          onChanged();
+        } else {
+          argDescriptorBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder clearArgDescriptor() {
+        if (argDescriptorBuilder_ == null) {
+          argDescriptor_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          argDescriptorBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public Builder removeArgDescriptor(int index) {
+        if (argDescriptorBuilder_ == null) {
+          ensureArgDescriptorIsMutable();
+          argDescriptor_.remove(index);
+          onChanged();
+        } else {
+          argDescriptorBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.Builder getArgDescriptorBuilder(
+          int index) {
+        return getArgDescriptorFieldBuilder().getBuilder(index);
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder getArgDescriptorOrBuilder(
+          int index) {
+        if (argDescriptorBuilder_ == null) {
+          return argDescriptor_.get(index);  } else {
+          return argDescriptorBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public java.util.List 
+           getArgDescriptorOrBuilderList() {
+        if (argDescriptorBuilder_ != null) {
+          return argDescriptorBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(argDescriptor_);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.Builder addArgDescriptorBuilder() {
+        return getArgDescriptorFieldBuilder().addBuilder(
+            org.nd4j.ir.OpNamespace.ArgDescriptor.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public org.nd4j.ir.OpNamespace.ArgDescriptor.Builder addArgDescriptorBuilder(
+          int index) {
+        return getArgDescriptorFieldBuilder().addBuilder(
+            index, org.nd4j.ir.OpNamespace.ArgDescriptor.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;
+       */
+      public java.util.List 
+           getArgDescriptorBuilderList() {
+        return getArgDescriptorFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.OpNamespace.ArgDescriptor, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder, org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder> 
+          getArgDescriptorFieldBuilder() {
+        if (argDescriptorBuilder_ == null) {
+          argDescriptorBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.OpNamespace.ArgDescriptor, org.nd4j.ir.OpNamespace.ArgDescriptor.Builder, org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder>(
+                  argDescriptor_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          argDescriptor_ = null;
+        }
+        return argDescriptorBuilder_;
+      }
+
+      private int opDeclarationType_ = 0;
+      /**
+       * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+       */
+      public int getOpDeclarationTypeValue() {
+        return opDeclarationType_;
+      }
+      /**
+       * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+       */
+      public Builder setOpDeclarationTypeValue(int value) {
+        opDeclarationType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+       */
+      public org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType getOpDeclarationType() {
+        @SuppressWarnings("deprecation")
+        org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType result = org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType.valueOf(opDeclarationType_);
+        return result == null ? org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType.UNRECOGNIZED : result;
+      }
+      /**
+       * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+       */
+      public Builder setOpDeclarationType(org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        
+        opDeclarationType_ = value.getNumber();
+        onChanged();
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;
+       */
+      public Builder clearOpDeclarationType() {
+        
+        opDeclarationType_ = 0;
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.OpDescriptor)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.OpDescriptor)
+    private static final org.nd4j.ir.OpNamespace.OpDescriptor DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.OpNamespace.OpDescriptor();
+    }
+
+    public static org.nd4j.ir.OpNamespace.OpDescriptor getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public OpDescriptor parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new OpDescriptor(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.OpNamespace.OpDescriptor getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface OpDescriptorListOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.OpDescriptorList)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    java.util.List 
+        getOpListList();
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    org.nd4j.ir.OpNamespace.OpDescriptor getOpList(int index);
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    int getOpListCount();
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    java.util.List 
+        getOpListOrBuilderList();
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder getOpListOrBuilder(
+        int index);
+  }
+  /**
+   * Protobuf type {@code org.nd4j.ir.OpDescriptorList}
+   */
+  public  static final class OpDescriptorList extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.OpDescriptorList)
+      OpDescriptorListOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use OpDescriptorList.newBuilder() to construct.
+    private OpDescriptorList(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private OpDescriptorList() {
+      opList_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new OpDescriptorList();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private OpDescriptorList(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                opList_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              opList_.add(
+                  input.readMessage(org.nd4j.ir.OpNamespace.OpDescriptor.parser(), extensionRegistry));
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          opList_ = java.util.Collections.unmodifiableList(opList_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptorList_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptorList_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.OpNamespace.OpDescriptorList.class, org.nd4j.ir.OpNamespace.OpDescriptorList.Builder.class);
+    }
+
+    public static final int OPLIST_FIELD_NUMBER = 1;
+    private java.util.List opList_;
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    public java.util.List getOpListList() {
+      return opList_;
+    }
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    public java.util.List 
+        getOpListOrBuilderList() {
+      return opList_;
+    }
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    public int getOpListCount() {
+      return opList_.size();
+    }
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    public org.nd4j.ir.OpNamespace.OpDescriptor getOpList(int index) {
+      return opList_.get(index);
+    }
+    /**
+     * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+     */
+    public org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder getOpListOrBuilder(
+        int index) {
+      return opList_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      for (int i = 0; i < opList_.size(); i++) {
+        output.writeMessage(1, opList_.get(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      for (int i = 0; i < opList_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(1, opList_.get(i));
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.OpNamespace.OpDescriptorList)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.OpNamespace.OpDescriptorList other = (org.nd4j.ir.OpNamespace.OpDescriptorList) obj;
+
+      if (!getOpListList()
+          .equals(other.getOpListList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (getOpListCount() > 0) {
+        hash = (37 * hash) + OPLIST_FIELD_NUMBER;
+        hash = (53 * hash) + getOpListList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.OpNamespace.OpDescriptorList prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.OpDescriptorList}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.OpDescriptorList)
+        org.nd4j.ir.OpNamespace.OpDescriptorListOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptorList_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptorList_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.OpNamespace.OpDescriptorList.class, org.nd4j.ir.OpNamespace.OpDescriptorList.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.OpNamespace.OpDescriptorList.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getOpListFieldBuilder();
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (opListBuilder_ == null) {
+          opList_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          opListBuilder_.clear();
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.OpNamespace.internal_static_org_nd4j_ir_OpDescriptorList_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.OpDescriptorList getDefaultInstanceForType() {
+        return org.nd4j.ir.OpNamespace.OpDescriptorList.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.OpDescriptorList build() {
+        org.nd4j.ir.OpNamespace.OpDescriptorList result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.OpNamespace.OpDescriptorList buildPartial() {
+        org.nd4j.ir.OpNamespace.OpDescriptorList result = new org.nd4j.ir.OpNamespace.OpDescriptorList(this);
+        int from_bitField0_ = bitField0_;
+        if (opListBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            opList_ = java.util.Collections.unmodifiableList(opList_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.opList_ = opList_;
+        } else {
+          result.opList_ = opListBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.OpNamespace.OpDescriptorList) {
+          return mergeFrom((org.nd4j.ir.OpNamespace.OpDescriptorList)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.OpNamespace.OpDescriptorList other) {
+        if (other == org.nd4j.ir.OpNamespace.OpDescriptorList.getDefaultInstance()) return this;
+        if (opListBuilder_ == null) {
+          if (!other.opList_.isEmpty()) {
+            if (opList_.isEmpty()) {
+              opList_ = other.opList_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureOpListIsMutable();
+              opList_.addAll(other.opList_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.opList_.isEmpty()) {
+            if (opListBuilder_.isEmpty()) {
+              opListBuilder_.dispose();
+              opListBuilder_ = null;
+              opList_ = other.opList_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              opListBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
+                   getOpListFieldBuilder() : null;
+            } else {
+              opListBuilder_.addAllMessages(other.opList_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.OpNamespace.OpDescriptorList parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.OpNamespace.OpDescriptorList) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.util.List opList_ =
+        java.util.Collections.emptyList();
+      private void ensureOpListIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          opList_ = new java.util.ArrayList(opList_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.OpNamespace.OpDescriptor, org.nd4j.ir.OpNamespace.OpDescriptor.Builder, org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder> opListBuilder_;
+
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public java.util.List getOpListList() {
+        if (opListBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(opList_);
+        } else {
+          return opListBuilder_.getMessageList();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public int getOpListCount() {
+        if (opListBuilder_ == null) {
+          return opList_.size();
+        } else {
+          return opListBuilder_.getCount();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public org.nd4j.ir.OpNamespace.OpDescriptor getOpList(int index) {
+        if (opListBuilder_ == null) {
+          return opList_.get(index);
+        } else {
+          return opListBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder setOpList(
+          int index, org.nd4j.ir.OpNamespace.OpDescriptor value) {
+        if (opListBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureOpListIsMutable();
+          opList_.set(index, value);
+          onChanged();
+        } else {
+          opListBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder setOpList(
+          int index, org.nd4j.ir.OpNamespace.OpDescriptor.Builder builderForValue) {
+        if (opListBuilder_ == null) {
+          ensureOpListIsMutable();
+          opList_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          opListBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder addOpList(org.nd4j.ir.OpNamespace.OpDescriptor value) {
+        if (opListBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureOpListIsMutable();
+          opList_.add(value);
+          onChanged();
+        } else {
+          opListBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder addOpList(
+          int index, org.nd4j.ir.OpNamespace.OpDescriptor value) {
+        if (opListBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureOpListIsMutable();
+          opList_.add(index, value);
+          onChanged();
+        } else {
+          opListBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder addOpList(
+          org.nd4j.ir.OpNamespace.OpDescriptor.Builder builderForValue) {
+        if (opListBuilder_ == null) {
+          ensureOpListIsMutable();
+          opList_.add(builderForValue.build());
+          onChanged();
+        } else {
+          opListBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder addOpList(
+          int index, org.nd4j.ir.OpNamespace.OpDescriptor.Builder builderForValue) {
+        if (opListBuilder_ == null) {
+          ensureOpListIsMutable();
+          opList_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          opListBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder addAllOpList(
+          java.lang.Iterable values) {
+        if (opListBuilder_ == null) {
+          ensureOpListIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, opList_);
+          onChanged();
+        } else {
+          opListBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder clearOpList() {
+        if (opListBuilder_ == null) {
+          opList_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          opListBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public Builder removeOpList(int index) {
+        if (opListBuilder_ == null) {
+          ensureOpListIsMutable();
+          opList_.remove(index);
+          onChanged();
+        } else {
+          opListBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public org.nd4j.ir.OpNamespace.OpDescriptor.Builder getOpListBuilder(
+          int index) {
+        return getOpListFieldBuilder().getBuilder(index);
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder getOpListOrBuilder(
+          int index) {
+        if (opListBuilder_ == null) {
+          return opList_.get(index);  } else {
+          return opListBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public java.util.List 
+           getOpListOrBuilderList() {
+        if (opListBuilder_ != null) {
+          return opListBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(opList_);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public org.nd4j.ir.OpNamespace.OpDescriptor.Builder addOpListBuilder() {
+        return getOpListFieldBuilder().addBuilder(
+            org.nd4j.ir.OpNamespace.OpDescriptor.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public org.nd4j.ir.OpNamespace.OpDescriptor.Builder addOpListBuilder(
+          int index) {
+        return getOpListFieldBuilder().addBuilder(
+            index, org.nd4j.ir.OpNamespace.OpDescriptor.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.OpDescriptor opList = 1;
+       */
+      public java.util.List 
+           getOpListBuilderList() {
+        return getOpListFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.OpNamespace.OpDescriptor, org.nd4j.ir.OpNamespace.OpDescriptor.Builder, org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder> 
+          getOpListFieldBuilder() {
+        if (opListBuilder_ == null) {
+          opListBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.OpNamespace.OpDescriptor, org.nd4j.ir.OpNamespace.OpDescriptor.Builder, org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder>(
+                  opList_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          opList_ = null;
+        }
+        return opListBuilder_;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.OpDescriptorList)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.OpDescriptorList)
+    private static final org.nd4j.ir.OpNamespace.OpDescriptorList DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.OpNamespace.OpDescriptorList();
+    }
+
+    public static org.nd4j.ir.OpNamespace.OpDescriptorList getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public OpDescriptorList parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new OpDescriptorList(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.OpNamespace.OpDescriptorList getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_ArgDescriptor_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_ArgDescriptor_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_OpDescriptor_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_OpDescriptor_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_OpDescriptorList_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_OpDescriptorList_fieldAccessorTable;
+
+  public static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      getDescriptor() {
+    return descriptor;
+  }
+  private static  org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      descriptor;
+  static {
+    java.lang.String[] descriptorData = {
+      "\n\010op.proto\022\013org.nd4j.ir\032\014tensor.proto\"\253\004" +
+      "\n\rArgDescriptor\022\014\n\004name\030\001 \001(\t\022\022\n\nfloatVa" +
+      "lue\030\002 \001(\002\022\023\n\013doubleValue\030\003 \001(\001\022\022\n\nint32V" +
+      "alue\030\004 \001(\005\022\022\n\nint64Value\030\005 \001(\003\022\021\n\tboolVa" +
+      "lue\030\006 \001(\010\022,\n\rdataTypeValue\030\007 \001(\0162\025.org.n" +
+      "d4j.ir.DataType\022,\n\ninputValue\030\010 \001(\0132\030.or" +
+      "g.nd4j.ir.TensorProto\022-\n\013outputValue\030\t \001" +
+      "(\0132\030.org.nd4j.ir.TensorProto\0223\n\007argType\030" +
+      "\n \001(\0162\".org.nd4j.ir.ArgDescriptor.ArgTyp" +
+      "e\022\020\n\010argIndex\030\013 \001(\005\022\023\n\013stringValue\030\014 \001(\t" +
+      "\022\023\n\013argOptional\030\r \001(\010\022\030\n\020convertBoolToIn" +
+      "t\030\016 \001(\010\022\017\n\007isArray\030\017 \001(\010\"\200\001\n\007ArgType\022\t\n\005" +
+      "FLOAT\020\000\022\n\n\006DOUBLE\020\001\022\t\n\005INT32\020\002\022\t\n\005INT64\020" +
+      "\003\022\010\n\004BOOL\020\004\022\r\n\tDATA_TYPE\020\005\022\020\n\014INPUT_TENS" +
+      "OR\020\006\022\021\n\rOUTPUT_TENSOR\020\007\022\n\n\006STRING\020\010\"\256\003\n\014" +
+      "OpDescriptor\022\014\n\004name\030\001 \001(\t\0221\n\rargDescrip" +
+      "tor\030\002 \003(\0132\032.org.nd4j.ir.ArgDescriptor\022F\n" +
+      "\021opDeclarationType\030\003 \001(\0162+.org.nd4j.ir.O" +
+      "pDescriptor.OpDeclarationType\"\224\002\n\021OpDecl" +
+      "arationType\022\022\n\016CUSTOM_OP_IMPL\020\000\022\023\n\017BOOLE" +
+      "AN_OP_IMPL\020\001\022\020\n\014LIST_OP_IMPL\020\002\022\021\n\rLOGIC_" +
+      "OP_IMPL\020\003\022\013\n\007OP_IMPL\020\004\022\025\n\021DIVERGENT_OP_I" +
+      "MPL\020\006\022\030\n\024CONFIGURABLE_OP_IMPL\020\007\022\025\n\021REDUC" +
+      "TION_OP_IMPL\020\010\022\031\n\025BROADCASTABLE_OP_IMPL\020" +
+      "\t\022\036\n\032BROADCASTABLE_BOOL_OP_IMPL\020\n\022\016\n\nLEG" +
+      "ACY_XYZ\020\013\022\021\n\rPLATFORM_IMPL\020\014\"=\n\020OpDescri" +
+      "ptorList\022)\n\006opList\030\001 \003(\0132\031.org.nd4j.ir.O" +
+      "pDescriptorB\rB\013OpNamespaceb\006proto3"
+    };
+    descriptor = org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      .internalBuildGeneratedFileFrom(descriptorData,
+        new org.nd4j.shade.protobuf.Descriptors.FileDescriptor[] {
+          org.nd4j.ir.TensorNamespace.getDescriptor(),
+        });
+    internal_static_org_nd4j_ir_ArgDescriptor_descriptor =
+      getDescriptor().getMessageTypes().get(0);
+    internal_static_org_nd4j_ir_ArgDescriptor_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_ArgDescriptor_descriptor,
+        new java.lang.String[] { "Name", "FloatValue", "DoubleValue", "Int32Value", "Int64Value", "BoolValue", "DataTypeValue", "InputValue", "OutputValue", "ArgType", "ArgIndex", "StringValue", "ArgOptional", "ConvertBoolToInt", "IsArray", });
+    internal_static_org_nd4j_ir_OpDescriptor_descriptor =
+      getDescriptor().getMessageTypes().get(1);
+    internal_static_org_nd4j_ir_OpDescriptor_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_OpDescriptor_descriptor,
+        new java.lang.String[] { "Name", "ArgDescriptor", "OpDeclarationType", });
+    internal_static_org_nd4j_ir_OpDescriptorList_descriptor =
+      getDescriptor().getMessageTypes().get(2);
+    internal_static_org_nd4j_ir_OpDescriptorList_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_OpDescriptorList_descriptor,
+        new java.lang.String[] { "OpList", });
+    org.nd4j.ir.TensorNamespace.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/TensorNamespace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/TensorNamespace.java
new file mode 100644
index 000000000..434bda3a8
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/ir/TensorNamespace.java
@@ -0,0 +1,10301 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: tensor.proto
+
+package org.nd4j.ir;
+
+public final class TensorNamespace {
+  private TensorNamespace() {}
+  public static void registerAllExtensions(
+      org.nd4j.shade.protobuf.ExtensionRegistryLite registry) {
+  }
+
+  public static void registerAllExtensions(
+      org.nd4j.shade.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions(
+        (org.nd4j.shade.protobuf.ExtensionRegistryLite) registry);
+  }
+  /**
+   * Protobuf enum {@code org.nd4j.ir.DataType}
+   */
+  public enum DataType
+      implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
+    /**
+     * UNDEFINED = 0;
+     */
+    UNDEFINED(0),
+    /**
+     * 
        +     * Basic types.
+     * 
        
+     *
+     * FLOAT = 1;
+     */
+    FLOAT(1),
+    /**
+     * 
        +     * uint8_t
+     * 
        
+     *
+     * UINT8 = 2;
+     */
+    UINT8(2),
+    /**
+     * 
        +     * int8_t
+     * 
        
+     *
+     * INT8 = 3;
+     */
+    INT8(3),
+    /**
+     * 
        +     * uint16_t
+     * 
        
+     *
+     * UINT16 = 4;
+     */
+    UINT16(4),
+    /**
+     * 
        +     * int16_t
+     * 
        
+     *
+     * INT16 = 5;
+     */
+    INT16(5),
+    /**
+     * 
        +     * int32_t
+     * 
        
+     *
+     * INT32 = 6;
+     */
+    INT32(6),
+    /**
+     * 
        +     * int64_t
+     * 
        
+     *
+     * INT64 = 7;
+     */
+    INT64(7),
+    /**
+     * 
        +     * string
+     * 
        
+     *
+     * STRING = 8;
+     */
+    STRING(8),
+    /**
+     * 
        +     * bool
+     * 
        
+     *
+     * BOOL = 9;
+     */
+    BOOL(9),
+    /**
+     * 
        +     * IEEE754 half-precision floating-point format (16 bits wide).
+     * This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
+     * 
        
+     *
+     * FLOAT16 = 10;
+     */
+    FLOAT16(10),
+    /**
+     * DOUBLE = 11;
+     */
+    DOUBLE(11),
+    /**
+     * UINT32 = 12;
+     */
+    UINT32(12),
+    /**
+     * UINT64 = 13;
+     */
+    UINT64(13),
+    /**
+     * 
        +     * complex with float32 real and imaginary components
+     * 
        
+     *
+     * COMPLEX64 = 14;
+     */
+    COMPLEX64(14),
+    /**
+     * 
        +     * complex with float64 real and imaginary components
+     * 
        
+     *
+     * COMPLEX128 = 15;
+     */
+    COMPLEX128(15),
+    /**
+     * 
        +     * Non-IEEE floating-point format based on IEEE754 single-precision
+     * floating-point number truncated to 16 bits.
+     * This format has 1 sign bit, 8 exponent bits, and 7 mantissa bits.
+     * 
        
+     *
+     * BFLOAT16 = 16;
+     */
+    BFLOAT16(16),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     * UNDEFINED = 0;
+     */
+    public static final int UNDEFINED_VALUE = 0;
+    /**
+     * 
        +     * Basic types.
+     * 
        
+     *
+     * FLOAT = 1;
+     */
+    public static final int FLOAT_VALUE = 1;
+    /**
+     * 
        +     * uint8_t
+     * 
        
+     *
+     * UINT8 = 2;
+     */
+    public static final int UINT8_VALUE = 2;
+    /**
+     * 
        +     * int8_t
+     * 
        
+     *
+     * INT8 = 3;
+     */
+    public static final int INT8_VALUE = 3;
+    /**
+     * 
        +     * uint16_t
+     * 
        
+     *
+     * UINT16 = 4;
+     */
+    public static final int UINT16_VALUE = 4;
+    /**
+     * 
        +     * int16_t
+     * 
        
+     *
+     * INT16 = 5;
+     */
+    public static final int INT16_VALUE = 5;
+    /**
+     * 
        +     * int32_t
+     * 
        
+     *
+     * INT32 = 6;
+     */
+    public static final int INT32_VALUE = 6;
+    /**
+     * 
        +     * int64_t
+     * 
        
+     *
+     * INT64 = 7;
+     */
+    public static final int INT64_VALUE = 7;
+    /**
+     * 
        +     * string
+     * 
        
+     *
+     * STRING = 8;
+     */
+    public static final int STRING_VALUE = 8;
+    /**
+     * 
        +     * bool
+     * 
        
+     *
+     * BOOL = 9;
+     */
+    public static final int BOOL_VALUE = 9;
+    /**
+     * 
        +     * IEEE754 half-precision floating-point format (16 bits wide).
+     * This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
+     * 
        
+     *
+     * FLOAT16 = 10;
+     */
+    public static final int FLOAT16_VALUE = 10;
+    /**
+     * DOUBLE = 11;
+     */
+    public static final int DOUBLE_VALUE = 11;
+    /**
+     * UINT32 = 12;
+     */
+    public static final int UINT32_VALUE = 12;
+    /**
+     * UINT64 = 13;
+     */
+    public static final int UINT64_VALUE = 13;
+    /**
+     * 
        +     * complex with float32 real and imaginary components
+     * 
        
+     *
+     * COMPLEX64 = 14;
+     */
+    public static final int COMPLEX64_VALUE = 14;
+    /**
+     * 
        +     * complex with float64 real and imaginary components
+     * 
        
+     *
+     * COMPLEX128 = 15;
+     */
+    public static final int COMPLEX128_VALUE = 15;
+    /**
+     * 
        +     * Non-IEEE floating-point format based on IEEE754 single-precision
+     * floating-point number truncated to 16 bits.
+     * This format has 1 sign bit, 8 exponent bits, and 7 mantissa bits.
+     * 
        
+     *
+     * BFLOAT16 = 16;
+     */
+    public static final int BFLOAT16_VALUE = 16;
+
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
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+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
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+    public static DataType valueOf(int value) {
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+    }
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+    public static DataType forNumber(int value) {
+      switch (value) {
+        case 0: return UNDEFINED;
+        case 1: return FLOAT;
+        case 2: return UINT8;
+        case 3: return INT8;
+        case 4: return UINT16;
+        case 5: return INT16;
+        case 6: return INT32;
+        case 7: return INT64;
+        case 8: return STRING;
+        case 9: return BOOL;
+        case 10: return FLOAT16;
+        case 11: return DOUBLE;
+        case 12: return UINT32;
+        case 13: return UINT64;
+        case 14: return COMPLEX64;
+        case 15: return COMPLEX128;
+        case 16: return BFLOAT16;
+        default: return null;
+      }
+    }
+
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+          };
+
+    public final org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor
+        getValueDescriptor() {
+      return getDescriptor().getValues().get(ordinal());
+    }
+    public final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+        getDescriptorForType() {
+      return getDescriptor();
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
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+      return org.nd4j.ir.TensorNamespace.getDescriptor().getEnumTypes().get(0);
+    }
+
+    private static final DataType[] VALUES = values();
+
+    public static DataType valueOf(
+        org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor desc) {
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+      }
+      return VALUES[desc.getIndex()];
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+    private final int value;
+
+    private DataType(int value) {
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+    // @@protoc_insertion_point(enum_scope:org.nd4j.ir.DataType)
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+    /**
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+
+    /**
+     * string value = 2;
+     */
+    java.lang.String getValue();
+    /**
+     * string value = 2;
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+    org.nd4j.shade.protobuf.ByteString
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+  }
+  /**
+   * 
        +   * StringStringEntryProto follows the pattern for cross-proto-version maps.
+   * See https://developers.google.com/protocol-buffers/docs/proto3#maps
+   * 
        
+   *
+   * Protobuf type {@code org.nd4j.ir.StringStringEntryProto}
+   */
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+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.StringStringEntryProto)
+      StringStringEntryProtoOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use StringStringEntryProto.newBuilder() to construct.
+    private StringStringEntryProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private StringStringEntryProto() {
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+      value_ = "";
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+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
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+    @java.lang.Override
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+        org.nd4j.shade.protobuf.CodedInputStream input,
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+      if (extensionRegistry == null) {
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+              java.lang.String s = input.readStringRequireUtf8();
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+              value_ = s;
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+      } catch (java.io.IOException e) {
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+            e).setUnfinishedMessage(this);
+      } finally {
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+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_StringStringEntryProto_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
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+        key_ = b;
+        return b;
+      } else {
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+    public static final int VALUE_FIELD_NUMBER = 2;
+    private volatile java.lang.Object value_;
+    /**
+     * string value = 2;
+     */
+    public java.lang.String getValue() {
+      java.lang.Object ref = value_;
+      if (ref instanceof java.lang.String) {
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+        java.lang.String s = bs.toStringUtf8();
+        value_ = s;
+        return s;
+      }
+    }
+    /**
+     * string value = 2;
+     */
+    public org.nd4j.shade.protobuf.ByteString
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+      java.lang.Object ref = value_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
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+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
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+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
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+      if (!getKeyBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, key_);
+      }
+      if (!getValueBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, value_);
+      }
+      unknownFields.writeTo(output);
+    }
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+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getKeyBytes().isEmpty()) {
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+      if (!getValueBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(2, value_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
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+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
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+      if (!(obj instanceof org.nd4j.ir.TensorNamespace.StringStringEntryProto)) {
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+      org.nd4j.ir.TensorNamespace.StringStringEntryProto other = (org.nd4j.ir.TensorNamespace.StringStringEntryProto) obj;
+
+      if (!getKey()
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+      if (!getValue()
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+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
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+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
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+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + KEY_FIELD_NUMBER;
+      hash = (53 * hash) + getKey().hashCode();
+      hash = (37 * hash) + VALUE_FIELD_NUMBER;
+      hash = (53 * hash) + getValue().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
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+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
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+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.TensorNamespace.StringStringEntryProto prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * 
        +     * StringStringEntryProto follows the pattern for cross-proto-version maps.
+     * See https://developers.google.com/protocol-buffers/docs/proto3#maps
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.StringStringEntryProto}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.StringStringEntryProto)
+        org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_StringStringEntryProto_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
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+      private Builder() {
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+      }
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+      private Builder(
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+        maybeForceBuilderInitialization();
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+      private void maybeForceBuilderInitialization() {
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+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
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+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_StringStringEntryProto_descriptor;
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+
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+        result.value_ = value_;
+        onBuilt();
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+      @java.lang.Override
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+      public Builder setField(
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+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.TensorNamespace.StringStringEntryProto) {
+          return mergeFrom((org.nd4j.ir.TensorNamespace.StringStringEntryProto)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.TensorNamespace.StringStringEntryProto other) {
+        if (other == org.nd4j.ir.TensorNamespace.StringStringEntryProto.getDefaultInstance()) return this;
+        if (!other.getKey().isEmpty()) {
+          key_ = other.key_;
+          onChanged();
+        }
+        if (!other.getValue().isEmpty()) {
+          value_ = other.value_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.TensorNamespace.StringStringEntryProto parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.TensorNamespace.StringStringEntryProto) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object key_ = "";
+      /**
+       * string key = 1;
+       */
+      public java.lang.String getKey() {
+        java.lang.Object ref = key_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          key_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string key = 1;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getKeyBytes() {
+        java.lang.Object ref = key_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          key_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string key = 1;
+       */
+      public Builder setKey(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        key_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string key = 1;
+       */
+      public Builder clearKey() {
+        
+        key_ = getDefaultInstance().getKey();
+        onChanged();
+        return this;
+      }
+      /**
+       * string key = 1;
+       */
+      public Builder setKeyBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        key_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object value_ = "";
+      /**
+       * string value = 2;
+       */
+      public java.lang.String getValue() {
+        java.lang.Object ref = value_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          value_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * string value = 2;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getValueBytes() {
+        java.lang.Object ref = value_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          value_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * string value = 2;
+       */
+      public Builder setValue(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        value_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * string value = 2;
+       */
+      public Builder clearValue() {
+        
+        value_ = getDefaultInstance().getValue();
+        onChanged();
+        return this;
+      }
+      /**
+       * string value = 2;
+       */
+      public Builder setValueBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        value_ = value;
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.StringStringEntryProto)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.StringStringEntryProto)
+    private static final org.nd4j.ir.TensorNamespace.StringStringEntryProto DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.StringStringEntryProto();
+    }
+
+    public static org.nd4j.ir.TensorNamespace.StringStringEntryProto getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public StringStringEntryProto parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new StringStringEntryProto(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.TensorNamespace.StringStringEntryProto getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface TypeProtoOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TypeProto)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * 
        +     * The type of a tensor.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+     */
+    boolean hasTensorType();
+    /**
+     * 
        +     * The type of a tensor.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+     */
+    org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getTensorType();
+    /**
+     * 
        +     * The type of a tensor.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+     */
+    org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder getTensorTypeOrBuilder();
+
+    public org.nd4j.ir.TensorNamespace.TypeProto.ValueCase getValueCase();
+  }
+  /**
+   * 
        +   * Define the types.
+   * 
        
+   *
+   * Protobuf type {@code org.nd4j.ir.TypeProto}
+   */
+  public  static final class TypeProto extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.TypeProto)
+      TypeProtoOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use TypeProto.newBuilder() to construct.
+    private TypeProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private TypeProto() {
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new TypeProto();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private TypeProto(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder subBuilder = null;
+              if (valueCase_ == 1) {
+                subBuilder = ((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_).toBuilder();
+              }
+              value_ =
+                  input.readMessage(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_);
+                value_ = subBuilder.buildPartial();
+              }
+              valueCase_ = 1;
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.TensorNamespace.TypeProto.class, org.nd4j.ir.TensorNamespace.TypeProto.Builder.class);
+    }
+
+    public interface TensorDescriptorOrBuilder extends
+        // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TypeProto.TensorDescriptor)
+        org.nd4j.shade.protobuf.MessageOrBuilder {
+
+      /**
+       * 
        +       * This field MUST NOT have the value of UNDEFINED
+       * This field MUST be present for this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.DataType elem_type = 1;
+       */
+      int getElemTypeValue();
+      /**
+       * 
        +       * This field MUST NOT have the value of UNDEFINED
+       * This field MUST be present for this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.DataType elem_type = 1;
+       */
+      org.nd4j.ir.TensorNamespace.DataType getElemType();
+
+      /**
+       * .org.nd4j.ir.TensorShapeProto shape = 2;
+       */
+      boolean hasShape();
+      /**
+       * .org.nd4j.ir.TensorShapeProto shape = 2;
+       */
+      org.nd4j.ir.TensorNamespace.TensorShapeProto getShape();
+      /**
+       * .org.nd4j.ir.TensorShapeProto shape = 2;
+       */
+      org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder getShapeOrBuilder();
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.TypeProto.TensorDescriptor}
+     */
+    public  static final class TensorDescriptor extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+        // @@protoc_insertion_point(message_implements:org.nd4j.ir.TypeProto.TensorDescriptor)
+        TensorDescriptorOrBuilder {
+    private static final long serialVersionUID = 0L;
+      // Use TensorDescriptor.newBuilder() to construct.
+      private TensorDescriptor(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+        super(builder);
+      }
+      private TensorDescriptor() {
+        elemType_ = 0;
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(
+          UnusedPrivateParameter unused) {
+        return new TensorDescriptor();
+      }
+
+      @java.lang.Override
+      public final org.nd4j.shade.protobuf.UnknownFieldSet
+      getUnknownFields() {
+        return this.unknownFields;
+      }
+      private TensorDescriptor(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+            org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 8: {
+                int rawValue = input.readEnum();
+
+                elemType_ = rawValue;
+                break;
+              }
+              case 18: {
+                org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder subBuilder = null;
+                if (shape_ != null) {
+                  subBuilder = shape_.toBuilder();
+                }
+                shape_ = input.readMessage(org.nd4j.ir.TensorNamespace.TensorShapeProto.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(shape_);
+                  shape_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+              default: {
+                if (!parseUnknownField(
+                    input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+            }
+          }
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+              e).setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.class, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder.class);
+      }
+
+      public static final int ELEM_TYPE_FIELD_NUMBER = 1;
+      private int elemType_;
+      /**
+       * 
        +       * This field MUST NOT have the value of UNDEFINED
+       * This field MUST be present for this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.DataType elem_type = 1;
+       */
+      public int getElemTypeValue() {
+        return elemType_;
+      }
+      /**
+       * 
        +       * This field MUST NOT have the value of UNDEFINED
+       * This field MUST be present for this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.DataType elem_type = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.DataType getElemType() {
+        @SuppressWarnings("deprecation")
+        org.nd4j.ir.TensorNamespace.DataType result = org.nd4j.ir.TensorNamespace.DataType.valueOf(elemType_);
+        return result == null ? org.nd4j.ir.TensorNamespace.DataType.UNRECOGNIZED : result;
+      }
+
+      public static final int SHAPE_FIELD_NUMBER = 2;
+      private org.nd4j.ir.TensorNamespace.TensorShapeProto shape_;
+      /**
+       * .org.nd4j.ir.TensorShapeProto shape = 2;
+       */
+      public boolean hasShape() {
+        return shape_ != null;
+      }
+      /**
+       * .org.nd4j.ir.TensorShapeProto shape = 2;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto getShape() {
+        return shape_ == null ? org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance() : shape_;
+      }
+      /**
+       * .org.nd4j.ir.TensorShapeProto shape = 2;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder getShapeOrBuilder() {
+        return getShape();
+      }
+
+      private byte memoizedIsInitialized = -1;
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                          throws java.io.IOException {
+        if (elemType_ != org.nd4j.ir.TensorNamespace.DataType.UNDEFINED.getNumber()) {
+          output.writeEnum(1, elemType_);
+        }
+        if (shape_ != null) {
+          output.writeMessage(2, getShape());
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (elemType_ != org.nd4j.ir.TensorNamespace.DataType.UNDEFINED.getNumber()) {
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeEnumSize(1, elemType_);
+        }
+        if (shape_ != null) {
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeMessageSize(2, getShape());
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+         return true;
+        }
+        if (!(obj instanceof org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor)) {
+          return super.equals(obj);
+        }
+        org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor other = (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) obj;
+
+        if (elemType_ != other.elemType_) return false;
+        if (hasShape() != other.hasShape()) return false;
+        if (hasShape()) {
+          if (!getShape()
+              .equals(other.getShape())) return false;
+        }
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + ELEM_TYPE_FIELD_NUMBER;
+        hash = (53 * hash) + elemType_;
+        if (hasShape()) {
+          hash = (37 * hash) + SHAPE_FIELD_NUMBER;
+          hash = (53 * hash) + getShape().hashCode();
+        }
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          java.nio.ByteBuffer data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          java.nio.ByteBuffer data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          org.nd4j.shade.protobuf.ByteString data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          org.nd4j.shade.protobuf.ByteString data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(byte[] data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          byte[] data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(java.io.InputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          java.io.InputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseDelimitedFrom(java.io.InputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseDelimitedWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseDelimitedFrom(
+          java.io.InputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() { return newBuilder(); }
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+      public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE
+            ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       * Protobuf type {@code org.nd4j.ir.TypeProto.TensorDescriptor}
+       */
+      public static final class Builder extends
+          org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+          // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TypeProto.TensorDescriptor)
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder {
+        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+            getDescriptor() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
+        }
+
+        @java.lang.Override
+        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.class, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder.class);
+        }
+
+        // Construct using org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(
+            org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+        private void maybeForceBuilderInitialization() {
+          if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                  .alwaysUseFieldBuilders) {
+          }
+        }
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          elemType_ = 0;
+
+          if (shapeBuilder_ == null) {
+            shape_ = null;
+          } else {
+            shape_ = null;
+            shapeBuilder_ = null;
+          }
+          return this;
+        }
+
+        @java.lang.Override
+        public org.nd4j.shade.protobuf.Descriptors.Descriptor
+            getDescriptorForType() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getDefaultInstanceForType() {
+          return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor build() {
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor buildPartial() {
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor result = new org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor(this);
+          result.elemType_ = elemType_;
+          if (shapeBuilder_ == null) {
+            result.shape_ = shape_;
+          } else {
+            result.shape_ = shapeBuilder_.build();
+          }
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+        @java.lang.Override
+        public Builder setField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            java.lang.Object value) {
+          return super.setField(field, value);
+        }
+        @java.lang.Override
+        public Builder clearField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+        @java.lang.Override
+        public Builder clearOneof(
+            org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+        @java.lang.Override
+        public Builder setRepeatedField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            int index, java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+        @java.lang.Override
+        public Builder addRepeatedField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+        @java.lang.Override
+        public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+          if (other instanceof org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) {
+            return mergeFrom((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor)other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor other) {
+          if (other == org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance()) return this;
+          if (other.elemType_ != 0) {
+            setElemTypeValue(other.getElemTypeValue());
+          }
+          if (other.hasShape()) {
+            mergeShape(other.getShape());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            org.nd4j.shade.protobuf.CodedInputStream input,
+            org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage = (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private int elemType_ = 0;
+        /**
+         * 
        +         * This field MUST NOT have the value of UNDEFINED
+         * This field MUST be present for this version of the IR.
+         * 
        
+         *
+         * .org.nd4j.ir.DataType elem_type = 1;
+         */
+        public int getElemTypeValue() {
+          return elemType_;
+        }
+        /**
+         * 
        +         * This field MUST NOT have the value of UNDEFINED
+         * This field MUST be present for this version of the IR.
+         * 
        
+         *
+         * .org.nd4j.ir.DataType elem_type = 1;
+         */
+        public Builder setElemTypeValue(int value) {
+          elemType_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * 
        +         * This field MUST NOT have the value of UNDEFINED
+         * This field MUST be present for this version of the IR.
+         * 
        
+         *
+         * .org.nd4j.ir.DataType elem_type = 1;
+         */
+        public org.nd4j.ir.TensorNamespace.DataType getElemType() {
+          @SuppressWarnings("deprecation")
+          org.nd4j.ir.TensorNamespace.DataType result = org.nd4j.ir.TensorNamespace.DataType.valueOf(elemType_);
+          return result == null ? org.nd4j.ir.TensorNamespace.DataType.UNRECOGNIZED : result;
+        }
+        /**
+         * 
        +         * This field MUST NOT have the value of UNDEFINED
+         * This field MUST be present for this version of the IR.
+         * 
        
+         *
+         * .org.nd4j.ir.DataType elem_type = 1;
+         */
+        public Builder setElemType(org.nd4j.ir.TensorNamespace.DataType value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          
+          elemType_ = value.getNumber();
+          onChanged();
+          return this;
+        }
+        /**
+         * 
        +         * This field MUST NOT have the value of UNDEFINED
+         * This field MUST be present for this version of the IR.
+         * 
        
+         *
+         * .org.nd4j.ir.DataType elem_type = 1;
+         */
+        public Builder clearElemType() {
+          
+          elemType_ = 0;
+          onChanged();
+          return this;
+        }
+
+        private org.nd4j.ir.TensorNamespace.TensorShapeProto shape_;
+        private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+            org.nd4j.ir.TensorNamespace.TensorShapeProto, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder> shapeBuilder_;
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public boolean hasShape() {
+          return shapeBuilder_ != null || shape_ != null;
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public org.nd4j.ir.TensorNamespace.TensorShapeProto getShape() {
+          if (shapeBuilder_ == null) {
+            return shape_ == null ? org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance() : shape_;
+          } else {
+            return shapeBuilder_.getMessage();
+          }
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public Builder setShape(org.nd4j.ir.TensorNamespace.TensorShapeProto value) {
+          if (shapeBuilder_ == null) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            shape_ = value;
+            onChanged();
+          } else {
+            shapeBuilder_.setMessage(value);
+          }
+
+          return this;
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public Builder setShape(
+            org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder builderForValue) {
+          if (shapeBuilder_ == null) {
+            shape_ = builderForValue.build();
+            onChanged();
+          } else {
+            shapeBuilder_.setMessage(builderForValue.build());
+          }
+
+          return this;
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public Builder mergeShape(org.nd4j.ir.TensorNamespace.TensorShapeProto value) {
+          if (shapeBuilder_ == null) {
+            if (shape_ != null) {
+              shape_ =
+                org.nd4j.ir.TensorNamespace.TensorShapeProto.newBuilder(shape_).mergeFrom(value).buildPartial();
+            } else {
+              shape_ = value;
+            }
+            onChanged();
+          } else {
+            shapeBuilder_.mergeFrom(value);
+          }
+
+          return this;
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public Builder clearShape() {
+          if (shapeBuilder_ == null) {
+            shape_ = null;
+            onChanged();
+          } else {
+            shape_ = null;
+            shapeBuilder_ = null;
+          }
+
+          return this;
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder getShapeBuilder() {
+          
+          onChanged();
+          return getShapeFieldBuilder().getBuilder();
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        public org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder getShapeOrBuilder() {
+          if (shapeBuilder_ != null) {
+            return shapeBuilder_.getMessageOrBuilder();
+          } else {
+            return shape_ == null ?
+                org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance() : shape_;
+          }
+        }
+        /**
+         * .org.nd4j.ir.TensorShapeProto shape = 2;
+         */
+        private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+            org.nd4j.ir.TensorNamespace.TensorShapeProto, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder> 
+            getShapeFieldBuilder() {
+          if (shapeBuilder_ == null) {
+            shapeBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+                org.nd4j.ir.TensorNamespace.TensorShapeProto, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder>(
+                    getShape(),
+                    getParentForChildren(),
+                    isClean());
+            shape_ = null;
+          }
+          return shapeBuilder_;
+        }
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+
+        // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TypeProto.TensorDescriptor)
+      }
+
+      // @@protoc_insertion_point(class_scope:org.nd4j.ir.TypeProto.TensorDescriptor)
+      private static final org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor DEFAULT_INSTANCE;
+      static {
+        DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor();
+      }
+
+      public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final org.nd4j.shade.protobuf.Parser
+          PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+        @java.lang.Override
+        public TensorDescriptor parsePartialFrom(
+            org.nd4j.shade.protobuf.CodedInputStream input,
+            org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+          return new TensorDescriptor(input, extensionRegistry);
+        }
+      };
+
+      public static org.nd4j.shade.protobuf.Parser parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Parser getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+
+    }
+
+    private int valueCase_ = 0;
+    private java.lang.Object value_;
+    public enum ValueCase
+        implements org.nd4j.shade.protobuf.Internal.EnumLite {
+      TENSOR_TYPE(1),
+      VALUE_NOT_SET(0);
+      private final int value;
+      private ValueCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ValueCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static ValueCase forNumber(int value) {
+        switch (value) {
+          case 1: return TENSOR_TYPE;
+          case 0: return VALUE_NOT_SET;
+          default: return null;
+        }
+      }
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public ValueCase
+    getValueCase() {
+      return ValueCase.forNumber(
+          valueCase_);
+    }
+
+    public static final int TENSOR_TYPE_FIELD_NUMBER = 1;
+    /**
+     * 
        +     * The type of a tensor.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+     */
+    public boolean hasTensorType() {
+      return valueCase_ == 1;
+    }
+    /**
+     * 
        +     * The type of a tensor.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+     */
+    public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getTensorType() {
+      if (valueCase_ == 1) {
+         return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
+      }
+      return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+    }
+    /**
+     * 
        +     * The type of a tensor.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+     */
+    public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder getTensorTypeOrBuilder() {
+      if (valueCase_ == 1) {
+         return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
+      }
+      return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      if (valueCase_ == 1) {
+        output.writeMessage(1, (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (valueCase_ == 1) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(1, (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.TensorNamespace.TypeProto)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.TensorNamespace.TypeProto other = (org.nd4j.ir.TensorNamespace.TypeProto) obj;
+
+      if (!getValueCase().equals(other.getValueCase())) return false;
+      switch (valueCase_) {
+        case 1:
+          if (!getTensorType()
+              .equals(other.getTensorType())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      switch (valueCase_) {
+        case 1:
+          hash = (37 * hash) + TENSOR_TYPE_FIELD_NUMBER;
+          hash = (53 * hash) + getTensorType().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TypeProto prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * 
        +     * Define the types.
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.TypeProto}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TypeProto)
+        org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.TypeProto.class, org.nd4j.ir.TensorNamespace.TypeProto.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.TensorNamespace.TypeProto.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        valueCase_ = 0;
+        value_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TypeProto getDefaultInstanceForType() {
+        return org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TypeProto build() {
+        org.nd4j.ir.TensorNamespace.TypeProto result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TypeProto buildPartial() {
+        org.nd4j.ir.TensorNamespace.TypeProto result = new org.nd4j.ir.TensorNamespace.TypeProto(this);
+        if (valueCase_ == 1) {
+          if (tensorTypeBuilder_ == null) {
+            result.value_ = value_;
+          } else {
+            result.value_ = tensorTypeBuilder_.build();
+          }
+        }
+        result.valueCase_ = valueCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.TensorNamespace.TypeProto) {
+          return mergeFrom((org.nd4j.ir.TensorNamespace.TypeProto)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TypeProto other) {
+        if (other == org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance()) return this;
+        switch (other.getValueCase()) {
+          case TENSOR_TYPE: {
+            mergeTensorType(other.getTensorType());
+            break;
+          }
+          case VALUE_NOT_SET: {
+            break;
+          }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.TensorNamespace.TypeProto parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.TensorNamespace.TypeProto) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int valueCase_ = 0;
+      private java.lang.Object value_;
+      public ValueCase
+          getValueCase() {
+        return ValueCase.forNumber(
+            valueCase_);
+      }
+
+      public Builder clearValue() {
+        valueCase_ = 0;
+        value_ = null;
+        onChanged();
+        return this;
+      }
+
+
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder> tensorTypeBuilder_;
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public boolean hasTensorType() {
+        return valueCase_ == 1;
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getTensorType() {
+        if (tensorTypeBuilder_ == null) {
+          if (valueCase_ == 1) {
+            return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
+          }
+          return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+        } else {
+          if (valueCase_ == 1) {
+            return tensorTypeBuilder_.getMessage();
+          }
+          return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+        }
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public Builder setTensorType(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor value) {
+        if (tensorTypeBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          value_ = value;
+          onChanged();
+        } else {
+          tensorTypeBuilder_.setMessage(value);
+        }
+        valueCase_ = 1;
+        return this;
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public Builder setTensorType(
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder builderForValue) {
+        if (tensorTypeBuilder_ == null) {
+          value_ = builderForValue.build();
+          onChanged();
+        } else {
+          tensorTypeBuilder_.setMessage(builderForValue.build());
+        }
+        valueCase_ = 1;
+        return this;
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public Builder mergeTensorType(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor value) {
+        if (tensorTypeBuilder_ == null) {
+          if (valueCase_ == 1 &&
+              value_ != org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance()) {
+            value_ = org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.newBuilder((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_)
+                .mergeFrom(value).buildPartial();
+          } else {
+            value_ = value;
+          }
+          onChanged();
+        } else {
+          if (valueCase_ == 1) {
+            tensorTypeBuilder_.mergeFrom(value);
+          }
+          tensorTypeBuilder_.setMessage(value);
+        }
+        valueCase_ = 1;
+        return this;
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public Builder clearTensorType() {
+        if (tensorTypeBuilder_ == null) {
+          if (valueCase_ == 1) {
+            valueCase_ = 0;
+            value_ = null;
+            onChanged();
+          }
+        } else {
+          if (valueCase_ == 1) {
+            valueCase_ = 0;
+            value_ = null;
+          }
+          tensorTypeBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder getTensorTypeBuilder() {
+        return getTensorTypeFieldBuilder().getBuilder();
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder getTensorTypeOrBuilder() {
+        if ((valueCase_ == 1) && (tensorTypeBuilder_ != null)) {
+          return tensorTypeBuilder_.getMessageOrBuilder();
+        } else {
+          if (valueCase_ == 1) {
+            return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
+          }
+          return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+        }
+      }
+      /**
+       * 
        +       * The type of a tensor.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
+       */
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder> 
+          getTensorTypeFieldBuilder() {
+        if (tensorTypeBuilder_ == null) {
+          if (!(valueCase_ == 1)) {
+            value_ = org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
+          }
+          tensorTypeBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder>(
+                  (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_,
+                  getParentForChildren(),
+                  isClean());
+          value_ = null;
+        }
+        valueCase_ = 1;
+        onChanged();;
+        return tensorTypeBuilder_;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TypeProto)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.TypeProto)
+    private static final org.nd4j.ir.TensorNamespace.TypeProto DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TypeProto();
+    }
+
+    public static org.nd4j.ir.TensorNamespace.TypeProto getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public TypeProto parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new TypeProto(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.TensorNamespace.TypeProto getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface TensorShapeProtoOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorShapeProto)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    java.util.List 
+        getDimList();
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDim(int index);
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    int getDimCount();
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    java.util.List 
+        getDimOrBuilderList();
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder getDimOrBuilder(
+        int index);
+  }
+  /**
+   * 
        +   * Defines a tensor shape. A dimension can be either an integer value
+   * or a symbolic variable. A symbolic variable represents an unknown
+   * dimension.
+   * 
        
+   *
+   * Protobuf type {@code org.nd4j.ir.TensorShapeProto}
+   */
+  public  static final class TensorShapeProto extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorShapeProto)
+      TensorShapeProtoOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use TensorShapeProto.newBuilder() to construct.
+    private TensorShapeProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private TensorShapeProto() {
+      dim_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new TensorShapeProto();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private TensorShapeProto(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                dim_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              dim_.add(
+                  input.readMessage(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.parser(), extensionRegistry));
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          dim_ = java.util.Collections.unmodifiableList(dim_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.TensorNamespace.TensorShapeProto.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder.class);
+    }
+
+    public interface DimensionOrBuilder extends
+        // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorShapeProto.Dimension)
+        org.nd4j.shade.protobuf.MessageOrBuilder {
+
+      /**
+       * int64 dim_value = 1;
+       */
+      long getDimValue();
+
+      /**
+       * 
        +       * namespace Shape
+       * 
        
+       *
+       * string dim_param = 2;
+       */
+      java.lang.String getDimParam();
+      /**
+       * 
        +       * namespace Shape
+       * 
        
+       *
+       * string dim_param = 2;
+       */
+      org.nd4j.shade.protobuf.ByteString
+          getDimParamBytes();
+
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase getValueCase();
+    }
+    /**
+     * Protobuf type {@code org.nd4j.ir.TensorShapeProto.Dimension}
+     */
+    public  static final class Dimension extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+        // @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorShapeProto.Dimension)
+        DimensionOrBuilder {
+    private static final long serialVersionUID = 0L;
+      // Use Dimension.newBuilder() to construct.
+      private Dimension(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+        super(builder);
+      }
+      private Dimension() {
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(
+          UnusedPrivateParameter unused) {
+        return new Dimension();
+      }
+
+      @java.lang.Override
+      public final org.nd4j.shade.protobuf.UnknownFieldSet
+      getUnknownFields() {
+        return this.unknownFields;
+      }
+      private Dimension(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+            org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 8: {
+                valueCase_ = 1;
+                value_ = input.readInt64();
+                break;
+              }
+              case 18: {
+                java.lang.String s = input.readStringRequireUtf8();
+                valueCase_ = 2;
+                value_ = s;
+                break;
+              }
+              default: {
+                if (!parseUnknownField(
+                    input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+            }
+          }
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+              e).setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder.class);
+      }
+
+      private int valueCase_ = 0;
+      private java.lang.Object value_;
+      public enum ValueCase
+          implements org.nd4j.shade.protobuf.Internal.EnumLite {
+        DIM_VALUE(1),
+        DIM_PARAM(2),
+        VALUE_NOT_SET(0);
+        private final int value;
+        private ValueCase(int value) {
+          this.value = value;
+        }
+        /**
+         * @deprecated Use {@link #forNumber(int)} instead.
+         */
+        @java.lang.Deprecated
+        public static ValueCase valueOf(int value) {
+          return forNumber(value);
+        }
+
+        public static ValueCase forNumber(int value) {
+          switch (value) {
+            case 1: return DIM_VALUE;
+            case 2: return DIM_PARAM;
+            case 0: return VALUE_NOT_SET;
+            default: return null;
+          }
+        }
+        public int getNumber() {
+          return this.value;
+        }
+      };
+
+      public ValueCase
+      getValueCase() {
+        return ValueCase.forNumber(
+            valueCase_);
+      }
+
+      public static final int DIM_VALUE_FIELD_NUMBER = 1;
+      /**
+       * int64 dim_value = 1;
+       */
+      public long getDimValue() {
+        if (valueCase_ == 1) {
+          return (java.lang.Long) value_;
+        }
+        return 0L;
+      }
+
+      public static final int DIM_PARAM_FIELD_NUMBER = 2;
+      /**
+       * 
        +       * namespace Shape
+       * 
        
+       *
+       * string dim_param = 2;
+       */
+      public java.lang.String getDimParam() {
+        java.lang.Object ref = "";
+        if (valueCase_ == 2) {
+          ref = value_;
+        }
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          org.nd4j.shade.protobuf.ByteString bs = 
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (valueCase_ == 2) {
+            value_ = s;
+          }
+          return s;
+        }
+      }
+      /**
+       * 
        +       * namespace Shape
+       * 
        
+       *
+       * string dim_param = 2;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getDimParamBytes() {
+        java.lang.Object ref = "";
+        if (valueCase_ == 2) {
+          ref = value_;
+        }
+        if (ref instanceof java.lang.String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          if (valueCase_ == 2) {
+            value_ = b;
+          }
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                          throws java.io.IOException {
+        if (valueCase_ == 1) {
+          output.writeInt64(
+              1, (long)((java.lang.Long) value_));
+        }
+        if (valueCase_ == 2) {
+          org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, value_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (valueCase_ == 1) {
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt64Size(
+                1, (long)((java.lang.Long) value_));
+        }
+        if (valueCase_ == 2) {
+          size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(2, value_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+         return true;
+        }
+        if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension)) {
+          return super.equals(obj);
+        }
+        org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension other = (org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension) obj;
+
+        if (!getValueCase().equals(other.getValueCase())) return false;
+        switch (valueCase_) {
+          case 1:
+            if (getDimValue()
+                != other.getDimValue()) return false;
+            break;
+          case 2:
+            if (!getDimParam()
+                .equals(other.getDimParam())) return false;
+            break;
+          case 0:
+          default:
+        }
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        switch (valueCase_) {
+          case 1:
+            hash = (37 * hash) + DIM_VALUE_FIELD_NUMBER;
+            hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong(
+                getDimValue());
+            break;
+          case 2:
+            hash = (37 * hash) + DIM_PARAM_FIELD_NUMBER;
+            hash = (53 * hash) + getDimParam().hashCode();
+            break;
+          case 0:
+          default:
+        }
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          java.nio.ByteBuffer data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          java.nio.ByteBuffer data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          org.nd4j.shade.protobuf.ByteString data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          org.nd4j.shade.protobuf.ByteString data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(byte[] data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          byte[] data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(java.io.InputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          java.io.InputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseDelimitedFrom(java.io.InputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseDelimitedWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseDelimitedFrom(
+          java.io.InputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() { return newBuilder(); }
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+      public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE
+            ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       * Protobuf type {@code org.nd4j.ir.TensorShapeProto.Dimension}
+       */
+      public static final class Builder extends
+          org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+          // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorShapeProto.Dimension)
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder {
+        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+            getDescriptor() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
+        }
+
+        @java.lang.Override
+        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder.class);
+        }
+
+        // Construct using org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(
+            org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+        private void maybeForceBuilderInitialization() {
+          if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                  .alwaysUseFieldBuilders) {
+          }
+        }
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          valueCase_ = 0;
+          value_ = null;
+          return this;
+        }
+
+        @java.lang.Override
+        public org.nd4j.shade.protobuf.Descriptors.Descriptor
+            getDescriptorForType() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDefaultInstanceForType() {
+          return org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension build() {
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension buildPartial() {
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension result = new org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension(this);
+          if (valueCase_ == 1) {
+            result.value_ = value_;
+          }
+          if (valueCase_ == 2) {
+            result.value_ = value_;
+          }
+          result.valueCase_ = valueCase_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+        @java.lang.Override
+        public Builder setField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            java.lang.Object value) {
+          return super.setField(field, value);
+        }
+        @java.lang.Override
+        public Builder clearField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+        @java.lang.Override
+        public Builder clearOneof(
+            org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+        @java.lang.Override
+        public Builder setRepeatedField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            int index, java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+        @java.lang.Override
+        public Builder addRepeatedField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+        @java.lang.Override
+        public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+          if (other instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension) {
+            return mergeFrom((org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension)other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension other) {
+          if (other == org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance()) return this;
+          switch (other.getValueCase()) {
+            case DIM_VALUE: {
+              setDimValue(other.getDimValue());
+              break;
+            }
+            case DIM_PARAM: {
+              valueCase_ = 2;
+              value_ = other.value_;
+              onChanged();
+              break;
+            }
+            case VALUE_NOT_SET: {
+              break;
+            }
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            org.nd4j.shade.protobuf.CodedInputStream input,
+            org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage = (org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension) e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+        private int valueCase_ = 0;
+        private java.lang.Object value_;
+        public ValueCase
+            getValueCase() {
+          return ValueCase.forNumber(
+              valueCase_);
+        }
+
+        public Builder clearValue() {
+          valueCase_ = 0;
+          value_ = null;
+          onChanged();
+          return this;
+        }
+
+
+        /**
+         * int64 dim_value = 1;
+         */
+        public long getDimValue() {
+          if (valueCase_ == 1) {
+            return (java.lang.Long) value_;
+          }
+          return 0L;
+        }
+        /**
+         * int64 dim_value = 1;
+         */
+        public Builder setDimValue(long value) {
+          valueCase_ = 1;
+          value_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * int64 dim_value = 1;
+         */
+        public Builder clearDimValue() {
+          if (valueCase_ == 1) {
+            valueCase_ = 0;
+            value_ = null;
+            onChanged();
+          }
+          return this;
+        }
+
+        /**
+         * 
        +         * namespace Shape
+         * 
        
+         *
+         * string dim_param = 2;
+         */
+        public java.lang.String getDimParam() {
+          java.lang.Object ref = "";
+          if (valueCase_ == 2) {
+            ref = value_;
+          }
+          if (!(ref instanceof java.lang.String)) {
+            org.nd4j.shade.protobuf.ByteString bs =
+                (org.nd4j.shade.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            if (valueCase_ == 2) {
+              value_ = s;
+            }
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * 
        +         * namespace Shape
+         * 
        
+         *
+         * string dim_param = 2;
+         */
+        public org.nd4j.shade.protobuf.ByteString
+            getDimParamBytes() {
+          java.lang.Object ref = "";
+          if (valueCase_ == 2) {
+            ref = value_;
+          }
+          if (ref instanceof String) {
+            org.nd4j.shade.protobuf.ByteString b = 
+                org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                    (java.lang.String) ref);
+            if (valueCase_ == 2) {
+              value_ = b;
+            }
+            return b;
+          } else {
+            return (org.nd4j.shade.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * 
        +         * namespace Shape
+         * 
        
+         *
+         * string dim_param = 2;
+         */
+        public Builder setDimParam(
+            java.lang.String value) {
+          if (value == null) {
+    throw new NullPointerException();
+  }
+  valueCase_ = 2;
+          value_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * 
        +         * namespace Shape
+         * 
        
+         *
+         * string dim_param = 2;
+         */
+        public Builder clearDimParam() {
+          if (valueCase_ == 2) {
+            valueCase_ = 0;
+            value_ = null;
+            onChanged();
+          }
+          return this;
+        }
+        /**
+         * 
        +         * namespace Shape
+         * 
        
+         *
+         * string dim_param = 2;
+         */
+        public Builder setDimParamBytes(
+            org.nd4j.shade.protobuf.ByteString value) {
+          if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+          valueCase_ = 2;
+          value_ = value;
+          onChanged();
+          return this;
+        }
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+
+        // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorShapeProto.Dimension)
+      }
+
+      // @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorShapeProto.Dimension)
+      private static final org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension DEFAULT_INSTANCE;
+      static {
+        DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension();
+      }
+
+      public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final org.nd4j.shade.protobuf.Parser
+          PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+        @java.lang.Override
+        public Dimension parsePartialFrom(
+            org.nd4j.shade.protobuf.CodedInputStream input,
+            org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+          return new Dimension(input, extensionRegistry);
+        }
+      };
+
+      public static org.nd4j.shade.protobuf.Parser parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Parser getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+
+    }
+
+    public static final int DIM_FIELD_NUMBER = 1;
+    private java.util.List dim_;
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    public java.util.List getDimList() {
+      return dim_;
+    }
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    public java.util.List 
+        getDimOrBuilderList() {
+      return dim_;
+    }
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    public int getDimCount() {
+      return dim_.size();
+    }
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDim(int index) {
+      return dim_.get(index);
+    }
+    /**
+     * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder getDimOrBuilder(
+        int index) {
+      return dim_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      for (int i = 0; i < dim_.size(); i++) {
+        output.writeMessage(1, dim_.get(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      for (int i = 0; i < dim_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(1, dim_.get(i));
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.TensorNamespace.TensorShapeProto other = (org.nd4j.ir.TensorNamespace.TensorShapeProto) obj;
+
+      if (!getDimList()
+          .equals(other.getDimList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (getDimCount() > 0) {
+        hash = (37 * hash) + DIM_FIELD_NUMBER;
+        hash = (53 * hash) + getDimList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorShapeProto prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * 
        +     * Defines a tensor shape. A dimension can be either an integer value
+     * or a symbolic variable. A symbolic variable represents an unknown
+     * dimension.
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.TensorShapeProto}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorShapeProto)
+        org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.TensorShapeProto.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.TensorNamespace.TensorShapeProto.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getDimFieldBuilder();
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (dimBuilder_ == null) {
+          dim_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          dimBuilder_.clear();
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto getDefaultInstanceForType() {
+        return org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto build() {
+        org.nd4j.ir.TensorNamespace.TensorShapeProto result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto buildPartial() {
+        org.nd4j.ir.TensorNamespace.TensorShapeProto result = new org.nd4j.ir.TensorNamespace.TensorShapeProto(this);
+        int from_bitField0_ = bitField0_;
+        if (dimBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            dim_ = java.util.Collections.unmodifiableList(dim_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.dim_ = dim_;
+        } else {
+          result.dim_ = dimBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto) {
+          return mergeFrom((org.nd4j.ir.TensorNamespace.TensorShapeProto)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorShapeProto other) {
+        if (other == org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance()) return this;
+        if (dimBuilder_ == null) {
+          if (!other.dim_.isEmpty()) {
+            if (dim_.isEmpty()) {
+              dim_ = other.dim_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureDimIsMutable();
+              dim_.addAll(other.dim_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.dim_.isEmpty()) {
+            if (dimBuilder_.isEmpty()) {
+              dimBuilder_.dispose();
+              dimBuilder_ = null;
+              dim_ = other.dim_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              dimBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
+                   getDimFieldBuilder() : null;
+            } else {
+              dimBuilder_.addAllMessages(other.dim_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.TensorNamespace.TensorShapeProto parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.TensorNamespace.TensorShapeProto) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private java.util.List dim_ =
+        java.util.Collections.emptyList();
+      private void ensureDimIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          dim_ = new java.util.ArrayList(dim_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder> dimBuilder_;
+
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public java.util.List getDimList() {
+        if (dimBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(dim_);
+        } else {
+          return dimBuilder_.getMessageList();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public int getDimCount() {
+        if (dimBuilder_ == null) {
+          return dim_.size();
+        } else {
+          return dimBuilder_.getCount();
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDim(int index) {
+        if (dimBuilder_ == null) {
+          return dim_.get(index);
+        } else {
+          return dimBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder setDim(
+          int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension value) {
+        if (dimBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureDimIsMutable();
+          dim_.set(index, value);
+          onChanged();
+        } else {
+          dimBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder setDim(
+          int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder builderForValue) {
+        if (dimBuilder_ == null) {
+          ensureDimIsMutable();
+          dim_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          dimBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder addDim(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension value) {
+        if (dimBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureDimIsMutable();
+          dim_.add(value);
+          onChanged();
+        } else {
+          dimBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder addDim(
+          int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension value) {
+        if (dimBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureDimIsMutable();
+          dim_.add(index, value);
+          onChanged();
+        } else {
+          dimBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder addDim(
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder builderForValue) {
+        if (dimBuilder_ == null) {
+          ensureDimIsMutable();
+          dim_.add(builderForValue.build());
+          onChanged();
+        } else {
+          dimBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder addDim(
+          int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder builderForValue) {
+        if (dimBuilder_ == null) {
+          ensureDimIsMutable();
+          dim_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          dimBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder addAllDim(
+          java.lang.Iterable values) {
+        if (dimBuilder_ == null) {
+          ensureDimIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, dim_);
+          onChanged();
+        } else {
+          dimBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder clearDim() {
+        if (dimBuilder_ == null) {
+          dim_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          dimBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public Builder removeDim(int index) {
+        if (dimBuilder_ == null) {
+          ensureDimIsMutable();
+          dim_.remove(index);
+          onChanged();
+        } else {
+          dimBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder getDimBuilder(
+          int index) {
+        return getDimFieldBuilder().getBuilder(index);
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder getDimOrBuilder(
+          int index) {
+        if (dimBuilder_ == null) {
+          return dim_.get(index);  } else {
+          return dimBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public java.util.List 
+           getDimOrBuilderList() {
+        if (dimBuilder_ != null) {
+          return dimBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(dim_);
+        }
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder addDimBuilder() {
+        return getDimFieldBuilder().addBuilder(
+            org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder addDimBuilder(
+          int index) {
+        return getDimFieldBuilder().addBuilder(
+            index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance());
+      }
+      /**
+       * repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
+       */
+      public java.util.List 
+           getDimBuilderList() {
+        return getDimFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder> 
+          getDimFieldBuilder() {
+        if (dimBuilder_ == null) {
+          dimBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder>(
+                  dim_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          dim_ = null;
+        }
+        return dimBuilder_;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorShapeProto)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorShapeProto)
+    private static final org.nd4j.ir.TensorNamespace.TensorShapeProto DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorShapeProto();
+    }
+
+    public static org.nd4j.ir.TensorNamespace.TensorShapeProto getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public TensorShapeProto parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new TensorShapeProto(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.TensorNamespace.TensorShapeProto getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface ValueInfoProtoOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.ValueInfoProto)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * string name = 1;
+     */
+    java.lang.String getName();
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * string name = 1;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getNameBytes();
+
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto type = 2;
+     */
+    boolean hasType();
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto type = 2;
+     */
+    org.nd4j.ir.TensorNamespace.TypeProto getType();
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto type = 2;
+     */
+    org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder getTypeOrBuilder();
+
+    /**
+     * 
        +     * A human-readable documentation for this value. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 3;
+     */
+    java.lang.String getDocString();
+    /**
+     * 
        +     * A human-readable documentation for this value. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 3;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getDocStringBytes();
+  }
+  /**
+   * 
        +   * Defines information on value, including the name, the type, and
+   * the shape of the value.
+   * 
        
+   *
+   * Protobuf type {@code org.nd4j.ir.ValueInfoProto}
+   */
+  public  static final class ValueInfoProto extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.ValueInfoProto)
+      ValueInfoProtoOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use ValueInfoProto.newBuilder() to construct.
+    private ValueInfoProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private ValueInfoProto() {
+      name_ = "";
+      docString_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new ValueInfoProto();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private ValueInfoProto(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+            case 18: {
+              org.nd4j.ir.TensorNamespace.TypeProto.Builder subBuilder = null;
+              if (type_ != null) {
+                subBuilder = type_.toBuilder();
+              }
+              type_ = input.readMessage(org.nd4j.ir.TensorNamespace.TypeProto.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(type_);
+                type_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+            case 26: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              docString_ = s;
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.TensorNamespace.ValueInfoProto.class, org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder.class);
+    }
+
+    public static final int NAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object name_;
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      }
+    }
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * string name = 1;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int TYPE_FIELD_NUMBER = 2;
+    private org.nd4j.ir.TensorNamespace.TypeProto type_;
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto type = 2;
+     */
+    public boolean hasType() {
+      return type_ != null;
+    }
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto type = 2;
+     */
+    public org.nd4j.ir.TensorNamespace.TypeProto getType() {
+      return type_ == null ? org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance() : type_;
+    }
+    /**
+     * 
        +     * This field MUST be present in this version of the IR.
+     * 
        
+     *
+     * .org.nd4j.ir.TypeProto type = 2;
+     */
+    public org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder getTypeOrBuilder() {
+      return getType();
+    }
+
+    public static final int DOC_STRING_FIELD_NUMBER = 3;
+    private volatile java.lang.Object docString_;
+    /**
+     * 
        +     * A human-readable documentation for this value. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 3;
+     */
+    public java.lang.String getDocString() {
+      java.lang.Object ref = docString_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        docString_ = s;
+        return s;
+      }
+    }
+    /**
+     * 
        +     * A human-readable documentation for this value. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 3;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getDocStringBytes() {
+      java.lang.Object ref = docString_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        docString_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      if (!getNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+      }
+      if (type_ != null) {
+        output.writeMessage(2, getType());
+      }
+      if (!getDocStringBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 3, docString_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+      }
+      if (type_ != null) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(2, getType());
+      }
+      if (!getDocStringBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(3, docString_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.TensorNamespace.ValueInfoProto)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.TensorNamespace.ValueInfoProto other = (org.nd4j.ir.TensorNamespace.ValueInfoProto) obj;
+
+      if (!getName()
+          .equals(other.getName())) return false;
+      if (hasType() != other.hasType()) return false;
+      if (hasType()) {
+        if (!getType()
+            .equals(other.getType())) return false;
+      }
+      if (!getDocString()
+          .equals(other.getDocString())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getName().hashCode();
+      if (hasType()) {
+        hash = (37 * hash) + TYPE_FIELD_NUMBER;
+        hash = (53 * hash) + getType().hashCode();
+      }
+      hash = (37 * hash) + DOC_STRING_FIELD_NUMBER;
+      hash = (53 * hash) + getDocString().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.TensorNamespace.ValueInfoProto prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * 
        +     * Defines information on value, including the name, the type, and
+     * the shape of the value.
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.ValueInfoProto}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.ValueInfoProto)
+        org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.ValueInfoProto.class, org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.TensorNamespace.ValueInfoProto.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        name_ = "";
+
+        if (typeBuilder_ == null) {
+          type_ = null;
+        } else {
+          type_ = null;
+          typeBuilder_ = null;
+        }
+        docString_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.ValueInfoProto getDefaultInstanceForType() {
+        return org.nd4j.ir.TensorNamespace.ValueInfoProto.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.ValueInfoProto build() {
+        org.nd4j.ir.TensorNamespace.ValueInfoProto result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.ValueInfoProto buildPartial() {
+        org.nd4j.ir.TensorNamespace.ValueInfoProto result = new org.nd4j.ir.TensorNamespace.ValueInfoProto(this);
+        result.name_ = name_;
+        if (typeBuilder_ == null) {
+          result.type_ = type_;
+        } else {
+          result.type_ = typeBuilder_.build();
+        }
+        result.docString_ = docString_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.TensorNamespace.ValueInfoProto) {
+          return mergeFrom((org.nd4j.ir.TensorNamespace.ValueInfoProto)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.TensorNamespace.ValueInfoProto other) {
+        if (other == org.nd4j.ir.TensorNamespace.ValueInfoProto.getDefaultInstance()) return this;
+        if (!other.getName().isEmpty()) {
+          name_ = other.name_;
+          onChanged();
+        }
+        if (other.hasType()) {
+          mergeType(other.getType());
+        }
+        if (!other.getDocString().isEmpty()) {
+          docString_ = other.docString_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.TensorNamespace.ValueInfoProto parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.TensorNamespace.ValueInfoProto) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object name_ = "";
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * string name = 1;
+       */
+      public java.lang.String getName() {
+        java.lang.Object ref = name_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          name_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * string name = 1;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getNameBytes() {
+        java.lang.Object ref = name_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          name_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * string name = 1;
+       */
+      public Builder setName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        name_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * string name = 1;
+       */
+      public Builder clearName() {
+        
+        name_ = getDefaultInstance().getName();
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * string name = 1;
+       */
+      public Builder setNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        name_ = value;
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.ir.TensorNamespace.TypeProto type_;
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TypeProto, org.nd4j.ir.TensorNamespace.TypeProto.Builder, org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder> typeBuilder_;
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public boolean hasType() {
+        return typeBuilder_ != null || type_ != null;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public org.nd4j.ir.TensorNamespace.TypeProto getType() {
+        if (typeBuilder_ == null) {
+          return type_ == null ? org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance() : type_;
+        } else {
+          return typeBuilder_.getMessage();
+        }
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public Builder setType(org.nd4j.ir.TensorNamespace.TypeProto value) {
+        if (typeBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          type_ = value;
+          onChanged();
+        } else {
+          typeBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public Builder setType(
+          org.nd4j.ir.TensorNamespace.TypeProto.Builder builderForValue) {
+        if (typeBuilder_ == null) {
+          type_ = builderForValue.build();
+          onChanged();
+        } else {
+          typeBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public Builder mergeType(org.nd4j.ir.TensorNamespace.TypeProto value) {
+        if (typeBuilder_ == null) {
+          if (type_ != null) {
+            type_ =
+              org.nd4j.ir.TensorNamespace.TypeProto.newBuilder(type_).mergeFrom(value).buildPartial();
+          } else {
+            type_ = value;
+          }
+          onChanged();
+        } else {
+          typeBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public Builder clearType() {
+        if (typeBuilder_ == null) {
+          type_ = null;
+          onChanged();
+        } else {
+          type_ = null;
+          typeBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public org.nd4j.ir.TensorNamespace.TypeProto.Builder getTypeBuilder() {
+        
+        onChanged();
+        return getTypeFieldBuilder().getBuilder();
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      public org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder getTypeOrBuilder() {
+        if (typeBuilder_ != null) {
+          return typeBuilder_.getMessageOrBuilder();
+        } else {
+          return type_ == null ?
+              org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance() : type_;
+        }
+      }
+      /**
+       * 
        +       * This field MUST be present in this version of the IR.
+       * 
        
+       *
+       * .org.nd4j.ir.TypeProto type = 2;
+       */
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TypeProto, org.nd4j.ir.TensorNamespace.TypeProto.Builder, org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder> 
+          getTypeFieldBuilder() {
+        if (typeBuilder_ == null) {
+          typeBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.TypeProto, org.nd4j.ir.TensorNamespace.TypeProto.Builder, org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder>(
+                  getType(),
+                  getParentForChildren(),
+                  isClean());
+          type_ = null;
+        }
+        return typeBuilder_;
+      }
+
+      private java.lang.Object docString_ = "";
+      /**
+       * 
        +       * A human-readable documentation for this value. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 3;
+       */
+      public java.lang.String getDocString() {
+        java.lang.Object ref = docString_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          docString_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * 
        +       * A human-readable documentation for this value. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 3;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getDocStringBytes() {
+        java.lang.Object ref = docString_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          docString_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * 
        +       * A human-readable documentation for this value. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 3;
+       */
+      public Builder setDocString(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        docString_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * A human-readable documentation for this value. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 3;
+       */
+      public Builder clearDocString() {
+        
+        docString_ = getDefaultInstance().getDocString();
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * A human-readable documentation for this value. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 3;
+       */
+      public Builder setDocStringBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        docString_ = value;
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.ValueInfoProto)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.ValueInfoProto)
+    private static final org.nd4j.ir.TensorNamespace.ValueInfoProto DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.ValueInfoProto();
+    }
+
+    public static org.nd4j.ir.TensorNamespace.ValueInfoProto getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public ValueInfoProto parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new ValueInfoProto(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.TensorNamespace.ValueInfoProto getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  public interface TensorProtoOrBuilder extends
+      // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorProto)
+      org.nd4j.shade.protobuf.MessageOrBuilder {
+
+    /**
+     * 
        +     * The shape of the tensor.
+     * 
        
+     *
+     * repeated int64 dims = 1;
+     */
+    java.util.List getDimsList();
+    /**
+     * 
        +     * The shape of the tensor.
+     * 
        
+     *
+     * repeated int64 dims = 1;
+     */
+    int getDimsCount();
+    /**
+     * 
        +     * The shape of the tensor.
+     * 
        
+     *
+     * repeated int64 dims = 1;
+     */
+    long getDims(int index);
+
+    /**
+     * 
        +     * The data type of the tensor.
+     * This field MUST have a valid TensorProto.DataType value
+     * 
        
+     *
+     * int32 data_type = 2;
+     */
+    int getDataType();
+
+    /**
+     * .org.nd4j.ir.TensorProto.Segment segment = 3;
+     */
+    boolean hasSegment();
+    /**
+     * .org.nd4j.ir.TensorProto.Segment segment = 3;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProto.Segment getSegment();
+    /**
+     * .org.nd4j.ir.TensorProto.Segment segment = 3;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder();
+
+    /**
+     * 
        +     * For float and complex64 values
+     * Complex64 tensors are encoded as a single array of floats,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+     * 
        
+     *
+     * repeated float float_data = 4 [packed = true];
+     */
+    java.util.List getFloatDataList();
+    /**
+     * 
        +     * For float and complex64 values
+     * Complex64 tensors are encoded as a single array of floats,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+     * 
        
+     *
+     * repeated float float_data = 4 [packed = true];
+     */
+    int getFloatDataCount();
+    /**
+     * 
        +     * For float and complex64 values
+     * Complex64 tensors are encoded as a single array of floats,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+     * 
        
+     *
+     * repeated float float_data = 4 [packed = true];
+     */
+    float getFloatData(int index);
+
+    /**
+     * 
        +     * For int32, uint8, int8, uint16, int16, bool, and float16 values
+     * float16 values must be bit-wise converted to an uint16_t prior
+     * to writing to the buffer.
+     * When this field is present, the data_type field MUST be
+     * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+     * 
        
+     *
+     * repeated int32 int32_data = 5 [packed = true];
+     */
+    java.util.List getInt32DataList();
+    /**
+     * 
        +     * For int32, uint8, int8, uint16, int16, bool, and float16 values
+     * float16 values must be bit-wise converted to an uint16_t prior
+     * to writing to the buffer.
+     * When this field is present, the data_type field MUST be
+     * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+     * 
        
+     *
+     * repeated int32 int32_data = 5 [packed = true];
+     */
+    int getInt32DataCount();
+    /**
+     * 
        +     * For int32, uint8, int8, uint16, int16, bool, and float16 values
+     * float16 values must be bit-wise converted to an uint16_t prior
+     * to writing to the buffer.
+     * When this field is present, the data_type field MUST be
+     * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+     * 
        
+     *
+     * repeated int32 int32_data = 5 [packed = true];
+     */
+    int getInt32Data(int index);
+
+    /**
+     * 
        +     * For strings.
+     * Each element of string_data is a UTF-8 encoded Unicode
+     * string. No trailing null, no leading BOM. The protobuf "string"
+     * scalar type is not used to match ML community conventions.
+     * When this field is present, the data_type field MUST be STRING
+     * 
        
+     *
+     * repeated bytes string_data = 6;
+     */
+    java.util.List getStringDataList();
+    /**
+     * 
        +     * For strings.
+     * Each element of string_data is a UTF-8 encoded Unicode
+     * string. No trailing null, no leading BOM. The protobuf "string"
+     * scalar type is not used to match ML community conventions.
+     * When this field is present, the data_type field MUST be STRING
+     * 
        
+     *
+     * repeated bytes string_data = 6;
+     */
+    int getStringDataCount();
+    /**
+     * 
        +     * For strings.
+     * Each element of string_data is a UTF-8 encoded Unicode
+     * string. No trailing null, no leading BOM. The protobuf "string"
+     * scalar type is not used to match ML community conventions.
+     * When this field is present, the data_type field MUST be STRING
+     * 
        
+     *
+     * repeated bytes string_data = 6;
+     */
+    org.nd4j.shade.protobuf.ByteString getStringData(int index);
+
+    /**
+     * 
        +     * For int64.
+     * When this field is present, the data_type field MUST be INT64
+     * 
        
+     *
+     * repeated int64 int64_data = 7 [packed = true];
+     */
+    java.util.List getInt64DataList();
+    /**
+     * 
        +     * For int64.
+     * When this field is present, the data_type field MUST be INT64
+     * 
        
+     *
+     * repeated int64 int64_data = 7 [packed = true];
+     */
+    int getInt64DataCount();
+    /**
+     * 
        +     * For int64.
+     * When this field is present, the data_type field MUST be INT64
+     * 
        
+     *
+     * repeated int64 int64_data = 7 [packed = true];
+     */
+    long getInt64Data(int index);
+
+    /**
+     * 
        +     * Optionally, a name for the tensor.
+     * 
        
+     *
+     * string name = 8;
+     */
+    java.lang.String getName();
+    /**
+     * 
        +     * Optionally, a name for the tensor.
+     * 
        
+     *
+     * string name = 8;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getNameBytes();
+
+    /**
+     * 
        +     * A human-readable documentation for this tensor. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 12;
+     */
+    java.lang.String getDocString();
+    /**
+     * 
        +     * A human-readable documentation for this tensor. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 12;
+     */
+    org.nd4j.shade.protobuf.ByteString
+        getDocStringBytes();
+
+    /**
+     * 
        +     * Serializations can either use one of the fields above, or use this
+     * raw bytes field. The only exception is the string case, where one is
+     * required to store the content in the repeated bytes string_data field.
+     * When this raw_data field is used to store tensor value, elements MUST
+     * be stored in as fixed-width, little-endian order.
+     * Floating-point data types MUST be stored in IEEE 754 format.
+     * Complex64 elements must be written as two consecutive FLOAT values, real component first.
+     * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
+     * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
+     * Note: the advantage of specific field rather than the raw_data field is
+     * that in some cases (e.g. int data), protobuf does a better packing via
+     * variable length storage, and may lead to smaller binary footprint.
+     * When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
+     * 
        
+     *
+     * bytes raw_data = 9;
+     */
+    org.nd4j.shade.protobuf.ByteString getRawData();
+
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    java.util.List 
+        getExternalDataList();
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    org.nd4j.ir.TensorNamespace.StringStringEntryProto getExternalData(int index);
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    int getExternalDataCount();
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    java.util.List 
+        getExternalDataOrBuilderList();
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(
+        int index);
+
+    /**
+     * 
        +     * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+     * 
        
+     *
+     * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+     */
+    int getDataLocationValue();
+    /**
+     * 
        +     * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+     * 
        
+     *
+     * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+     */
+    org.nd4j.ir.TensorNamespace.TensorProto.DataLocation getDataLocation();
+
+    /**
+     * 
        +     * For double
+     * Complex128 tensors are encoded as a single array of doubles,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+     * 
        
+     *
+     * repeated double double_data = 10 [packed = true];
+     */
+    java.util.List getDoubleDataList();
+    /**
+     * 
        +     * For double
+     * Complex128 tensors are encoded as a single array of doubles,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+     * 
        
+     *
+     * repeated double double_data = 10 [packed = true];
+     */
+    int getDoubleDataCount();
+    /**
+     * 
        +     * For double
+     * Complex128 tensors are encoded as a single array of doubles,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+     * 
        
+     *
+     * repeated double double_data = 10 [packed = true];
+     */
+    double getDoubleData(int index);
+
+    /**
+     * 
        +     * For uint64 and uint32 values
+     * When this field is present, the data_type field MUST be
+     * UINT32 or UINT64
+     * 
        
+     *
+     * repeated uint64 uint64_data = 11 [packed = true];
+     */
+    java.util.List getUint64DataList();
+    /**
+     * 
        +     * For uint64 and uint32 values
+     * When this field is present, the data_type field MUST be
+     * UINT32 or UINT64
+     * 
        
+     *
+     * repeated uint64 uint64_data = 11 [packed = true];
+     */
+    int getUint64DataCount();
+    /**
+     * 
        +     * For uint64 and uint32 values
+     * When this field is present, the data_type field MUST be
+     * UINT32 or UINT64
+     * 
        
+     *
+     * repeated uint64 uint64_data = 11 [packed = true];
+     */
+    long getUint64Data(int index);
+
+    /**
+     * 
        +     * For half values (tensorflow compatibility)
+     * 
        
+     *
+     * repeated int32 half_val = 15 [packed = true];
+     */
+    java.util.List getHalfValList();
+    /**
+     * 
        +     * For half values (tensorflow compatibility)
+     * 
        
+     *
+     * repeated int32 half_val = 15 [packed = true];
+     */
+    int getHalfValCount();
+    /**
+     * 
        +     * For half values (tensorflow compatibility)
+     * 
        
+     *
+     * repeated int32 half_val = 15 [packed = true];
+     */
+    int getHalfVal(int index);
+
+    /**
+     * 
        +     *boolean values
+     * 
        
+     *
+     * repeated bool bool_val = 16 [packed = true];
+     */
+    java.util.List getBoolValList();
+    /**
+     * 
        +     *boolean values
+     * 
        
+     *
+     * repeated bool bool_val = 16 [packed = true];
+     */
+    int getBoolValCount();
+    /**
+     * 
        +     *boolean values
+     * 
        
+     *
+     * repeated bool bool_val = 16 [packed = true];
+     */
+    boolean getBoolVal(int index);
+  }
+  /**
+   * 
        +   * Tensors
+   * A serialized tensor value.
+   * 
        
+   *
+   * Protobuf type {@code org.nd4j.ir.TensorProto}
+   */
+  public  static final class TensorProto extends
+      org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+      // @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorProto)
+      TensorProtoOrBuilder {
+  private static final long serialVersionUID = 0L;
+    // Use TensorProto.newBuilder() to construct.
+    private TensorProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+    private TensorProto() {
+      dims_ = emptyLongList();
+      floatData_ = emptyFloatList();
+      int32Data_ = emptyIntList();
+      stringData_ = java.util.Collections.emptyList();
+      int64Data_ = emptyLongList();
+      name_ = "";
+      docString_ = "";
+      rawData_ = org.nd4j.shade.protobuf.ByteString.EMPTY;
+      externalData_ = java.util.Collections.emptyList();
+      dataLocation_ = 0;
+      doubleData_ = emptyDoubleList();
+      uint64Data_ = emptyLongList();
+      halfVal_ = emptyIntList();
+      boolVal_ = emptyBooleanList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(
+        UnusedPrivateParameter unused) {
+      return new TensorProto();
+    }
+
+    @java.lang.Override
+    public final org.nd4j.shade.protobuf.UnknownFieldSet
+    getUnknownFields() {
+      return this.unknownFields;
+    }
+    private TensorProto(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+          org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 8: {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                dims_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              dims_.addLong(input.readInt64());
+              break;
+            }
+            case 10: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000001) != 0) && input.getBytesUntilLimit() > 0) {
+                dims_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                dims_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 16: {
+
+              dataType_ = input.readInt32();
+              break;
+            }
+            case 26: {
+              org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder subBuilder = null;
+              if (segment_ != null) {
+                subBuilder = segment_.toBuilder();
+              }
+              segment_ = input.readMessage(org.nd4j.ir.TensorNamespace.TensorProto.Segment.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(segment_);
+                segment_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+            case 37: {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                floatData_ = newFloatList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              floatData_.addFloat(input.readFloat());
+              break;
+            }
+            case 34: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000002) != 0) && input.getBytesUntilLimit() > 0) {
+                floatData_ = newFloatList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                floatData_.addFloat(input.readFloat());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 40: {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                int32Data_ = newIntList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              int32Data_.addInt(input.readInt32());
+              break;
+            }
+            case 42: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000004) != 0) && input.getBytesUntilLimit() > 0) {
+                int32Data_ = newIntList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                int32Data_.addInt(input.readInt32());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 50: {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                stringData_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              stringData_.add(input.readBytes());
+              break;
+            }
+            case 56: {
+              if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                int64Data_ = newLongList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              int64Data_.addLong(input.readInt64());
+              break;
+            }
+            case 58: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000010) != 0) && input.getBytesUntilLimit() > 0) {
+                int64Data_ = newLongList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                int64Data_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 66: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+            case 74: {
+
+              rawData_ = input.readBytes();
+              break;
+            }
+            case 81: {
+              if (!((mutable_bitField0_ & 0x00000040) != 0)) {
+                doubleData_ = newDoubleList();
+                mutable_bitField0_ |= 0x00000040;
+              }
+              doubleData_.addDouble(input.readDouble());
+              break;
+            }
+            case 82: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000040) != 0) && input.getBytesUntilLimit() > 0) {
+                doubleData_ = newDoubleList();
+                mutable_bitField0_ |= 0x00000040;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                doubleData_.addDouble(input.readDouble());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 88: {
+              if (!((mutable_bitField0_ & 0x00000080) != 0)) {
+                uint64Data_ = newLongList();
+                mutable_bitField0_ |= 0x00000080;
+              }
+              uint64Data_.addLong(input.readUInt64());
+              break;
+            }
+            case 90: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000080) != 0) && input.getBytesUntilLimit() > 0) {
+                uint64Data_ = newLongList();
+                mutable_bitField0_ |= 0x00000080;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                uint64Data_.addLong(input.readUInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 98: {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              docString_ = s;
+              break;
+            }
+            case 106: {
+              if (!((mutable_bitField0_ & 0x00000020) != 0)) {
+                externalData_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000020;
+              }
+              externalData_.add(
+                  input.readMessage(org.nd4j.ir.TensorNamespace.StringStringEntryProto.parser(), extensionRegistry));
+              break;
+            }
+            case 112: {
+              int rawValue = input.readEnum();
+
+              dataLocation_ = rawValue;
+              break;
+            }
+            case 120: {
+              if (!((mutable_bitField0_ & 0x00000100) != 0)) {
+                halfVal_ = newIntList();
+                mutable_bitField0_ |= 0x00000100;
+              }
+              halfVal_.addInt(input.readInt32());
+              break;
+            }
+            case 122: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000100) != 0) && input.getBytesUntilLimit() > 0) {
+                halfVal_ = newIntList();
+                mutable_bitField0_ |= 0x00000100;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                halfVal_.addInt(input.readInt32());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            case 128: {
+              if (!((mutable_bitField0_ & 0x00000200) != 0)) {
+                boolVal_ = newBooleanList();
+                mutable_bitField0_ |= 0x00000200;
+              }
+              boolVal_.addBoolean(input.readBool());
+              break;
+            }
+            case 130: {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000200) != 0) && input.getBytesUntilLimit() > 0) {
+                boolVal_ = newBooleanList();
+                mutable_bitField0_ |= 0x00000200;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                boolVal_.addBoolean(input.readBool());
+              }
+              input.popLimit(limit);
+              break;
+            }
+            default: {
+              if (!parseUnknownField(
+                  input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+          }
+        }
+      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+            e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          dims_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000002) != 0)) {
+          floatData_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000004) != 0)) {
+          int32Data_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000008) != 0)) {
+          stringData_ = java.util.Collections.unmodifiableList(stringData_); // C
+        }
+        if (((mutable_bitField0_ & 0x00000010) != 0)) {
+          int64Data_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000040) != 0)) {
+          doubleData_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000080) != 0)) {
+          uint64Data_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000020) != 0)) {
+          externalData_ = java.util.Collections.unmodifiableList(externalData_);
+        }
+        if (((mutable_bitField0_ & 0x00000100) != 0)) {
+          halfVal_.makeImmutable(); // C
+        }
+        if (((mutable_bitField0_ & 0x00000200) != 0)) {
+          boolVal_.makeImmutable(); // C
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+        getDescriptor() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_descriptor;
+    }
+
+    @java.lang.Override
+    protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              org.nd4j.ir.TensorNamespace.TensorProto.class, org.nd4j.ir.TensorNamespace.TensorProto.Builder.class);
+    }
+
+    /**
+     * 
        +     * Location of the data for this tensor. MUST be one of:
+     * - DEFAULT - data stored inside the protobuf message. Data is stored in raw_data (if set) otherwise in type-specified field.
+     * - EXTERNAL - data stored in an external location as described by external_data field.
+     * 
        
+     *
+     * Protobuf enum {@code org.nd4j.ir.TensorProto.DataLocation}
+     */
+    public enum DataLocation
+        implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
+      /**
+       * DEFAULT = 0;
+       */
+      DEFAULT(0),
+      /**
+       * EXTERNAL = 1;
+       */
+      EXTERNAL(1),
+      UNRECOGNIZED(-1),
+      ;
+
+      /**
+       * DEFAULT = 0;
+       */
+      public static final int DEFAULT_VALUE = 0;
+      /**
+       * EXTERNAL = 1;
+       */
+      public static final int EXTERNAL_VALUE = 1;
+
+
+      public final int getNumber() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalArgumentException(
+              "Can't get the number of an unknown enum value.");
+        }
+        return value;
+      }
+
+      /**
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static DataLocation valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static DataLocation forNumber(int value) {
+        switch (value) {
+          case 0: return DEFAULT;
+          case 1: return EXTERNAL;
+          default: return null;
+        }
+      }
+
+      public static org.nd4j.shade.protobuf.Internal.EnumLiteMap
+          internalGetValueMap() {
+        return internalValueMap;
+      }
+      private static final org.nd4j.shade.protobuf.Internal.EnumLiteMap<
+          DataLocation> internalValueMap =
+            new org.nd4j.shade.protobuf.Internal.EnumLiteMap() {
+              public DataLocation findValueByNumber(int number) {
+                return DataLocation.forNumber(number);
+              }
+            };
+
+      public final org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor
+          getValueDescriptor() {
+        return getDescriptor().getValues().get(ordinal());
+      }
+      public final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+          getDescriptorForType() {
+        return getDescriptor();
+      }
+      public static final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.TensorProto.getDescriptor().getEnumTypes().get(0);
+      }
+
+      private static final DataLocation[] VALUES = values();
+
+      public static DataLocation valueOf(
+          org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor desc) {
+        if (desc.getType() != getDescriptor()) {
+          throw new java.lang.IllegalArgumentException(
+            "EnumValueDescriptor is not for this type.");
+        }
+        if (desc.getIndex() == -1) {
+          return UNRECOGNIZED;
+        }
+        return VALUES[desc.getIndex()];
+      }
+
+      private final int value;
+
+      private DataLocation(int value) {
+        this.value = value;
+      }
+
+      // @@protoc_insertion_point(enum_scope:org.nd4j.ir.TensorProto.DataLocation)
+    }
+
+    public interface SegmentOrBuilder extends
+        // @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorProto.Segment)
+        org.nd4j.shade.protobuf.MessageOrBuilder {
+
+      /**
+       * int64 begin = 1;
+       */
+      long getBegin();
+
+      /**
+       * int64 end = 2;
+       */
+      long getEnd();
+    }
+    /**
+     * 
        +     * For very large tensors, we may want to store them in chunks, in which
+     * case the following fields will specify the segment that is stored in
+     * the current TensorProto.
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.TensorProto.Segment}
+     */
+    public  static final class Segment extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3 implements
+        // @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorProto.Segment)
+        SegmentOrBuilder {
+    private static final long serialVersionUID = 0L;
+      // Use Segment.newBuilder() to construct.
+      private Segment(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
+        super(builder);
+      }
+      private Segment() {
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(
+          UnusedPrivateParameter unused) {
+        return new Segment();
+      }
+
+      @java.lang.Override
+      public final org.nd4j.shade.protobuf.UnknownFieldSet
+      getUnknownFields() {
+        return this.unknownFields;
+      }
+      private Segment(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
+            org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 8: {
+
+                begin_ = input.readInt64();
+                break;
+              }
+              case 16: {
+
+                end_ = input.readInt64();
+                break;
+              }
+              default: {
+                if (!parseUnknownField(
+                    input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+            }
+          }
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
+              e).setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_Segment_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_Segment_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.TensorProto.Segment.class, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder.class);
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+
+      public static final int BEGIN_FIELD_NUMBER = 1;
+      private long begin_;
+      /**
+       * int64 begin = 1;
+       */
+      public long getBegin() {
+        return begin_;
+      }
+
+      public static final int END_FIELD_NUMBER = 2;
+      private long end_;
+      /**
+       * int64 end = 2;
+       */
+      public long getEnd() {
+        return end_;
+      }
+
+      private byte memoizedIsInitialized = -1;
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                          throws java.io.IOException {
+        if (begin_ != 0L) {
+          output.writeInt64(1, begin_);
+        }
+        if (end_ != 0L) {
+          output.writeInt64(2, end_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (begin_ != 0L) {
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt64Size(1, begin_);
+        }
+        if (end_ != 0L) {
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt64Size(2, end_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+         return true;
+        }
+        if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorProto.Segment)) {
+          return super.equals(obj);
+        }
+        org.nd4j.ir.TensorNamespace.TensorProto.Segment other = (org.nd4j.ir.TensorNamespace.TensorProto.Segment) obj;
+
+        if (getBegin()
+            != other.getBegin()) return false;
+        if (getEnd()
+            != other.getEnd()) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + BEGIN_FIELD_NUMBER;
+        hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong(
+            getBegin());
+        hash = (37 * hash) + END_FIELD_NUMBER;
+        hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong(
+            getEnd());
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          java.nio.ByteBuffer data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          java.nio.ByteBuffer data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          org.nd4j.shade.protobuf.ByteString data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          org.nd4j.shade.protobuf.ByteString data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(byte[] data)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          byte[] data,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(java.io.InputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          java.io.InputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseDelimitedFrom(java.io.InputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseDelimitedWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseDelimitedFrom(
+          java.io.InputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input);
+      }
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        return org.nd4j.shade.protobuf.GeneratedMessageV3
+            .parseWithIOException(PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() { return newBuilder(); }
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+      public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorProto.Segment prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE
+            ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       * 
        +       * For very large tensors, we may want to store them in chunks, in which
+       * case the following fields will specify the segment that is stored in
+       * the current TensorProto.
+       * 
        
+       *
+       * Protobuf type {@code org.nd4j.ir.TensorProto.Segment}
+       */
+      public static final class Builder extends
+          org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+          // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorProto.Segment)
+          org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder {
+        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+            getDescriptor() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_Segment_descriptor;
+        }
+
+        @java.lang.Override
+        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_Segment_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  org.nd4j.ir.TensorNamespace.TensorProto.Segment.class, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder.class);
+        }
+
+        // Construct using org.nd4j.ir.TensorNamespace.TensorProto.Segment.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(
+            org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+        private void maybeForceBuilderInitialization() {
+          if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                  .alwaysUseFieldBuilders) {
+          }
+        }
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          begin_ = 0L;
+
+          end_ = 0L;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public org.nd4j.shade.protobuf.Descriptors.Descriptor
+            getDescriptorForType() {
+          return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_Segment_descriptor;
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TensorProto.Segment getDefaultInstanceForType() {
+          return org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TensorProto.Segment build() {
+          org.nd4j.ir.TensorNamespace.TensorProto.Segment result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public org.nd4j.ir.TensorNamespace.TensorProto.Segment buildPartial() {
+          org.nd4j.ir.TensorNamespace.TensorProto.Segment result = new org.nd4j.ir.TensorNamespace.TensorProto.Segment(this);
+          result.begin_ = begin_;
+          result.end_ = end_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+        @java.lang.Override
+        public Builder setField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            java.lang.Object value) {
+          return super.setField(field, value);
+        }
+        @java.lang.Override
+        public Builder clearField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+        @java.lang.Override
+        public Builder clearOneof(
+            org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+        @java.lang.Override
+        public Builder setRepeatedField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            int index, java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+        @java.lang.Override
+        public Builder addRepeatedField(
+            org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+            java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+        @java.lang.Override
+        public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+          if (other instanceof org.nd4j.ir.TensorNamespace.TensorProto.Segment) {
+            return mergeFrom((org.nd4j.ir.TensorNamespace.TensorProto.Segment)other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorProto.Segment other) {
+          if (other == org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance()) return this;
+          if (other.getBegin() != 0L) {
+            setBegin(other.getBegin());
+          }
+          if (other.getEnd() != 0L) {
+            setEnd(other.getEnd());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            org.nd4j.shade.protobuf.CodedInputStream input,
+            org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          org.nd4j.ir.TensorNamespace.TensorProto.Segment parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage = (org.nd4j.ir.TensorNamespace.TensorProto.Segment) e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private long begin_ ;
+        /**
+         * int64 begin = 1;
+         */
+        public long getBegin() {
+          return begin_;
+        }
+        /**
+         * int64 begin = 1;
+         */
+        public Builder setBegin(long value) {
+          
+          begin_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * int64 begin = 1;
+         */
+        public Builder clearBegin() {
+          
+          begin_ = 0L;
+          onChanged();
+          return this;
+        }
+
+        private long end_ ;
+        /**
+         * int64 end = 2;
+         */
+        public long getEnd() {
+          return end_;
+        }
+        /**
+         * int64 end = 2;
+         */
+        public Builder setEnd(long value) {
+          
+          end_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * int64 end = 2;
+         */
+        public Builder clearEnd() {
+          
+          end_ = 0L;
+          onChanged();
+          return this;
+        }
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+
+        // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorProto.Segment)
+      }
+
+      // @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorProto.Segment)
+      private static final org.nd4j.ir.TensorNamespace.TensorProto.Segment DEFAULT_INSTANCE;
+      static {
+        DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorProto.Segment();
+      }
+
+      public static org.nd4j.ir.TensorNamespace.TensorProto.Segment getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final org.nd4j.shade.protobuf.Parser
+          PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+        @java.lang.Override
+        public Segment parsePartialFrom(
+            org.nd4j.shade.protobuf.CodedInputStream input,
+            org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+          return new Segment(input, extensionRegistry);
+        }
+      };
+
+      public static org.nd4j.shade.protobuf.Parser parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Parser getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorProto.Segment getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+
+    }
+
+    public static final int DIMS_FIELD_NUMBER = 1;
+    private org.nd4j.shade.protobuf.Internal.LongList dims_;
+    /**
+     * 
        +     * The shape of the tensor.
+     * 
        
+     *
+     * repeated int64 dims = 1;
+     */
+    public java.util.List
+        getDimsList() {
+      return dims_;
+    }
+    /**
+     * 
        +     * The shape of the tensor.
+     * 
        
+     *
+     * repeated int64 dims = 1;
+     */
+    public int getDimsCount() {
+      return dims_.size();
+    }
+    /**
+     * 
        +     * The shape of the tensor.
+     * 
        
+     *
+     * repeated int64 dims = 1;
+     */
+    public long getDims(int index) {
+      return dims_.getLong(index);
+    }
+    private int dimsMemoizedSerializedSize = -1;
+
+    public static final int DATA_TYPE_FIELD_NUMBER = 2;
+    private int dataType_;
+    /**
+     * 
        +     * The data type of the tensor.
+     * This field MUST have a valid TensorProto.DataType value
+     * 
        
+     *
+     * int32 data_type = 2;
+     */
+    public int getDataType() {
+      return dataType_;
+    }
+
+    public static final int SEGMENT_FIELD_NUMBER = 3;
+    private org.nd4j.ir.TensorNamespace.TensorProto.Segment segment_;
+    /**
+     * .org.nd4j.ir.TensorProto.Segment segment = 3;
+     */
+    public boolean hasSegment() {
+      return segment_ != null;
+    }
+    /**
+     * .org.nd4j.ir.TensorProto.Segment segment = 3;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProto.Segment getSegment() {
+      return segment_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance() : segment_;
+    }
+    /**
+     * .org.nd4j.ir.TensorProto.Segment segment = 3;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder() {
+      return getSegment();
+    }
+
+    public static final int FLOAT_DATA_FIELD_NUMBER = 4;
+    private org.nd4j.shade.protobuf.Internal.FloatList floatData_;
+    /**
+     * 
        +     * For float and complex64 values
+     * Complex64 tensors are encoded as a single array of floats,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+     * 
        
+     *
+     * repeated float float_data = 4 [packed = true];
+     */
+    public java.util.List
+        getFloatDataList() {
+      return floatData_;
+    }
+    /**
+     * 
        +     * For float and complex64 values
+     * Complex64 tensors are encoded as a single array of floats,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+     * 
        
+     *
+     * repeated float float_data = 4 [packed = true];
+     */
+    public int getFloatDataCount() {
+      return floatData_.size();
+    }
+    /**
+     * 
        +     * For float and complex64 values
+     * Complex64 tensors are encoded as a single array of floats,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+     * 
        
+     *
+     * repeated float float_data = 4 [packed = true];
+     */
+    public float getFloatData(int index) {
+      return floatData_.getFloat(index);
+    }
+    private int floatDataMemoizedSerializedSize = -1;
+
+    public static final int INT32_DATA_FIELD_NUMBER = 5;
+    private org.nd4j.shade.protobuf.Internal.IntList int32Data_;
+    /**
+     * 
        +     * For int32, uint8, int8, uint16, int16, bool, and float16 values
+     * float16 values must be bit-wise converted to an uint16_t prior
+     * to writing to the buffer.
+     * When this field is present, the data_type field MUST be
+     * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+     * 
        
+     *
+     * repeated int32 int32_data = 5 [packed = true];
+     */
+    public java.util.List
+        getInt32DataList() {
+      return int32Data_;
+    }
+    /**
+     * 
        +     * For int32, uint8, int8, uint16, int16, bool, and float16 values
+     * float16 values must be bit-wise converted to an uint16_t prior
+     * to writing to the buffer.
+     * When this field is present, the data_type field MUST be
+     * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+     * 
        
+     *
+     * repeated int32 int32_data = 5 [packed = true];
+     */
+    public int getInt32DataCount() {
+      return int32Data_.size();
+    }
+    /**
+     * 
        +     * For int32, uint8, int8, uint16, int16, bool, and float16 values
+     * float16 values must be bit-wise converted to an uint16_t prior
+     * to writing to the buffer.
+     * When this field is present, the data_type field MUST be
+     * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+     * 
        
+     *
+     * repeated int32 int32_data = 5 [packed = true];
+     */
+    public int getInt32Data(int index) {
+      return int32Data_.getInt(index);
+    }
+    private int int32DataMemoizedSerializedSize = -1;
+
+    public static final int STRING_DATA_FIELD_NUMBER = 6;
+    private java.util.List stringData_;
+    /**
+     * 
        +     * For strings.
+     * Each element of string_data is a UTF-8 encoded Unicode
+     * string. No trailing null, no leading BOM. The protobuf "string"
+     * scalar type is not used to match ML community conventions.
+     * When this field is present, the data_type field MUST be STRING
+     * 
        
+     *
+     * repeated bytes string_data = 6;
+     */
+    public java.util.List
+        getStringDataList() {
+      return stringData_;
+    }
+    /**
+     * 
        +     * For strings.
+     * Each element of string_data is a UTF-8 encoded Unicode
+     * string. No trailing null, no leading BOM. The protobuf "string"
+     * scalar type is not used to match ML community conventions.
+     * When this field is present, the data_type field MUST be STRING
+     * 
        
+     *
+     * repeated bytes string_data = 6;
+     */
+    public int getStringDataCount() {
+      return stringData_.size();
+    }
+    /**
+     * 
        +     * For strings.
+     * Each element of string_data is a UTF-8 encoded Unicode
+     * string. No trailing null, no leading BOM. The protobuf "string"
+     * scalar type is not used to match ML community conventions.
+     * When this field is present, the data_type field MUST be STRING
+     * 
        
+     *
+     * repeated bytes string_data = 6;
+     */
+    public org.nd4j.shade.protobuf.ByteString getStringData(int index) {
+      return stringData_.get(index);
+    }
+
+    public static final int INT64_DATA_FIELD_NUMBER = 7;
+    private org.nd4j.shade.protobuf.Internal.LongList int64Data_;
+    /**
+     * 
        +     * For int64.
+     * When this field is present, the data_type field MUST be INT64
+     * 
        
+     *
+     * repeated int64 int64_data = 7 [packed = true];
+     */
+    public java.util.List
+        getInt64DataList() {
+      return int64Data_;
+    }
+    /**
+     * 
        +     * For int64.
+     * When this field is present, the data_type field MUST be INT64
+     * 
        
+     *
+     * repeated int64 int64_data = 7 [packed = true];
+     */
+    public int getInt64DataCount() {
+      return int64Data_.size();
+    }
+    /**
+     * 
        +     * For int64.
+     * When this field is present, the data_type field MUST be INT64
+     * 
        
+     *
+     * repeated int64 int64_data = 7 [packed = true];
+     */
+    public long getInt64Data(int index) {
+      return int64Data_.getLong(index);
+    }
+    private int int64DataMemoizedSerializedSize = -1;
+
+    public static final int NAME_FIELD_NUMBER = 8;
+    private volatile java.lang.Object name_;
+    /**
+     * 
        +     * Optionally, a name for the tensor.
+     * 
        
+     *
+     * string name = 8;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      }
+    }
+    /**
+     * 
        +     * Optionally, a name for the tensor.
+     * 
        
+     *
+     * string name = 8;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DOC_STRING_FIELD_NUMBER = 12;
+    private volatile java.lang.Object docString_;
+    /**
+     * 
        +     * A human-readable documentation for this tensor. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 12;
+     */
+    public java.lang.String getDocString() {
+      java.lang.Object ref = docString_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        org.nd4j.shade.protobuf.ByteString bs = 
+            (org.nd4j.shade.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        docString_ = s;
+        return s;
+      }
+    }
+    /**
+     * 
        +     * A human-readable documentation for this tensor. Markdown is allowed.
+     * 
        
+     *
+     * string doc_string = 12;
+     */
+    public org.nd4j.shade.protobuf.ByteString
+        getDocStringBytes() {
+      java.lang.Object ref = docString_;
+      if (ref instanceof java.lang.String) {
+        org.nd4j.shade.protobuf.ByteString b = 
+            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                (java.lang.String) ref);
+        docString_ = b;
+        return b;
+      } else {
+        return (org.nd4j.shade.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int RAW_DATA_FIELD_NUMBER = 9;
+    private org.nd4j.shade.protobuf.ByteString rawData_;
+    /**
+     * 
        +     * Serializations can either use one of the fields above, or use this
+     * raw bytes field. The only exception is the string case, where one is
+     * required to store the content in the repeated bytes string_data field.
+     * When this raw_data field is used to store tensor value, elements MUST
+     * be stored in as fixed-width, little-endian order.
+     * Floating-point data types MUST be stored in IEEE 754 format.
+     * Complex64 elements must be written as two consecutive FLOAT values, real component first.
+     * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
+     * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
+     * Note: the advantage of specific field rather than the raw_data field is
+     * that in some cases (e.g. int data), protobuf does a better packing via
+     * variable length storage, and may lead to smaller binary footprint.
+     * When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
+     * 
        
+     *
+     * bytes raw_data = 9;
+     */
+    public org.nd4j.shade.protobuf.ByteString getRawData() {
+      return rawData_;
+    }
+
+    public static final int EXTERNAL_DATA_FIELD_NUMBER = 13;
+    private java.util.List externalData_;
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    public java.util.List getExternalDataList() {
+      return externalData_;
+    }
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    public java.util.List 
+        getExternalDataOrBuilderList() {
+      return externalData_;
+    }
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    public int getExternalDataCount() {
+      return externalData_.size();
+    }
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    public org.nd4j.ir.TensorNamespace.StringStringEntryProto getExternalData(int index) {
+      return externalData_.get(index);
+    }
+    /**
+     * 
        +     * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+     * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+     * external_data stores key-value pairs describing data location. Recognized keys are:
+     * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+     *                           protobuf model was stored
+     * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+     *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+     * - "length" (optional) - number of bytes containing data. Integer stored as string.
+     * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+     * 
        
+     *
+     * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+     */
+    public org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(
+        int index) {
+      return externalData_.get(index);
+    }
+
+    public static final int DATA_LOCATION_FIELD_NUMBER = 14;
+    private int dataLocation_;
+    /**
+     * 
        +     * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+     * 
        
+     *
+     * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+     */
+    public int getDataLocationValue() {
+      return dataLocation_;
+    }
+    /**
+     * 
        +     * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+     * 
        
+     *
+     * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+     */
+    public org.nd4j.ir.TensorNamespace.TensorProto.DataLocation getDataLocation() {
+      @SuppressWarnings("deprecation")
+      org.nd4j.ir.TensorNamespace.TensorProto.DataLocation result = org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.valueOf(dataLocation_);
+      return result == null ? org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.UNRECOGNIZED : result;
+    }
+
+    public static final int DOUBLE_DATA_FIELD_NUMBER = 10;
+    private org.nd4j.shade.protobuf.Internal.DoubleList doubleData_;
+    /**
+     * 
        +     * For double
+     * Complex128 tensors are encoded as a single array of doubles,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+     * 
        
+     *
+     * repeated double double_data = 10 [packed = true];
+     */
+    public java.util.List
+        getDoubleDataList() {
+      return doubleData_;
+    }
+    /**
+     * 
        +     * For double
+     * Complex128 tensors are encoded as a single array of doubles,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+     * 
        
+     *
+     * repeated double double_data = 10 [packed = true];
+     */
+    public int getDoubleDataCount() {
+      return doubleData_.size();
+    }
+    /**
+     * 
        +     * For double
+     * Complex128 tensors are encoded as a single array of doubles,
+     * with the real components appearing in odd numbered positions,
+     * and the corresponding imaginary component appearing in the
+     * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+     * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+     * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+     * 
        
+     *
+     * repeated double double_data = 10 [packed = true];
+     */
+    public double getDoubleData(int index) {
+      return doubleData_.getDouble(index);
+    }
+    private int doubleDataMemoizedSerializedSize = -1;
+
+    public static final int UINT64_DATA_FIELD_NUMBER = 11;
+    private org.nd4j.shade.protobuf.Internal.LongList uint64Data_;
+    /**
+     * 
        +     * For uint64 and uint32 values
+     * When this field is present, the data_type field MUST be
+     * UINT32 or UINT64
+     * 
        
+     *
+     * repeated uint64 uint64_data = 11 [packed = true];
+     */
+    public java.util.List
+        getUint64DataList() {
+      return uint64Data_;
+    }
+    /**
+     * 
        +     * For uint64 and uint32 values
+     * When this field is present, the data_type field MUST be
+     * UINT32 or UINT64
+     * 
        
+     *
+     * repeated uint64 uint64_data = 11 [packed = true];
+     */
+    public int getUint64DataCount() {
+      return uint64Data_.size();
+    }
+    /**
+     * 
        +     * For uint64 and uint32 values
+     * When this field is present, the data_type field MUST be
+     * UINT32 or UINT64
+     * 
        
+     *
+     * repeated uint64 uint64_data = 11 [packed = true];
+     */
+    public long getUint64Data(int index) {
+      return uint64Data_.getLong(index);
+    }
+    private int uint64DataMemoizedSerializedSize = -1;
+
+    public static final int HALF_VAL_FIELD_NUMBER = 15;
+    private org.nd4j.shade.protobuf.Internal.IntList halfVal_;
+    /**
+     * 
        +     * For half values (tensorflow compatibility)
+     * 
        
+     *
+     * repeated int32 half_val = 15 [packed = true];
+     */
+    public java.util.List
+        getHalfValList() {
+      return halfVal_;
+    }
+    /**
+     * 
        +     * For half values (tensorflow compatibility)
+     * 
        
+     *
+     * repeated int32 half_val = 15 [packed = true];
+     */
+    public int getHalfValCount() {
+      return halfVal_.size();
+    }
+    /**
+     * 
        +     * For half values (tensorflow compatibility)
+     * 
        
+     *
+     * repeated int32 half_val = 15 [packed = true];
+     */
+    public int getHalfVal(int index) {
+      return halfVal_.getInt(index);
+    }
+    private int halfValMemoizedSerializedSize = -1;
+
+    public static final int BOOL_VAL_FIELD_NUMBER = 16;
+    private org.nd4j.shade.protobuf.Internal.BooleanList boolVal_;
+    /**
+     * 
        +     *boolean values
+     * 
        
+     *
+     * repeated bool bool_val = 16 [packed = true];
+     */
+    public java.util.List
+        getBoolValList() {
+      return boolVal_;
+    }
+    /**
+     * 
        +     *boolean values
+     * 
        
+     *
+     * repeated bool bool_val = 16 [packed = true];
+     */
+    public int getBoolValCount() {
+      return boolVal_.size();
+    }
+    /**
+     * 
        +     *boolean values
+     * 
        
+     *
+     * repeated bool bool_val = 16 [packed = true];
+     */
+    public boolean getBoolVal(int index) {
+      return boolVal_.getBoolean(index);
+    }
+    private int boolValMemoizedSerializedSize = -1;
+
+    private byte memoizedIsInitialized = -1;
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
+                        throws java.io.IOException {
+      getSerializedSize();
+      if (getDimsList().size() > 0) {
+        output.writeUInt32NoTag(10);
+        output.writeUInt32NoTag(dimsMemoizedSerializedSize);
+      }
+      for (int i = 0; i < dims_.size(); i++) {
+        output.writeInt64NoTag(dims_.getLong(i));
+      }
+      if (dataType_ != 0) {
+        output.writeInt32(2, dataType_);
+      }
+      if (segment_ != null) {
+        output.writeMessage(3, getSegment());
+      }
+      if (getFloatDataList().size() > 0) {
+        output.writeUInt32NoTag(34);
+        output.writeUInt32NoTag(floatDataMemoizedSerializedSize);
+      }
+      for (int i = 0; i < floatData_.size(); i++) {
+        output.writeFloatNoTag(floatData_.getFloat(i));
+      }
+      if (getInt32DataList().size() > 0) {
+        output.writeUInt32NoTag(42);
+        output.writeUInt32NoTag(int32DataMemoizedSerializedSize);
+      }
+      for (int i = 0; i < int32Data_.size(); i++) {
+        output.writeInt32NoTag(int32Data_.getInt(i));
+      }
+      for (int i = 0; i < stringData_.size(); i++) {
+        output.writeBytes(6, stringData_.get(i));
+      }
+      if (getInt64DataList().size() > 0) {
+        output.writeUInt32NoTag(58);
+        output.writeUInt32NoTag(int64DataMemoizedSerializedSize);
+      }
+      for (int i = 0; i < int64Data_.size(); i++) {
+        output.writeInt64NoTag(int64Data_.getLong(i));
+      }
+      if (!getNameBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 8, name_);
+      }
+      if (!rawData_.isEmpty()) {
+        output.writeBytes(9, rawData_);
+      }
+      if (getDoubleDataList().size() > 0) {
+        output.writeUInt32NoTag(82);
+        output.writeUInt32NoTag(doubleDataMemoizedSerializedSize);
+      }
+      for (int i = 0; i < doubleData_.size(); i++) {
+        output.writeDoubleNoTag(doubleData_.getDouble(i));
+      }
+      if (getUint64DataList().size() > 0) {
+        output.writeUInt32NoTag(90);
+        output.writeUInt32NoTag(uint64DataMemoizedSerializedSize);
+      }
+      for (int i = 0; i < uint64Data_.size(); i++) {
+        output.writeUInt64NoTag(uint64Data_.getLong(i));
+      }
+      if (!getDocStringBytes().isEmpty()) {
+        org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 12, docString_);
+      }
+      for (int i = 0; i < externalData_.size(); i++) {
+        output.writeMessage(13, externalData_.get(i));
+      }
+      if (dataLocation_ != org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.DEFAULT.getNumber()) {
+        output.writeEnum(14, dataLocation_);
+      }
+      if (getHalfValList().size() > 0) {
+        output.writeUInt32NoTag(122);
+        output.writeUInt32NoTag(halfValMemoizedSerializedSize);
+      }
+      for (int i = 0; i < halfVal_.size(); i++) {
+        output.writeInt32NoTag(halfVal_.getInt(i));
+      }
+      if (getBoolValList().size() > 0) {
+        output.writeUInt32NoTag(130);
+        output.writeUInt32NoTag(boolValMemoizedSerializedSize);
+      }
+      for (int i = 0; i < boolVal_.size(); i++) {
+        output.writeBoolNoTag(boolVal_.getBoolean(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      {
+        int dataSize = 0;
+        for (int i = 0; i < dims_.size(); i++) {
+          dataSize += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt64SizeNoTag(dims_.getLong(i));
+        }
+        size += dataSize;
+        if (!getDimsList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        dimsMemoizedSerializedSize = dataSize;
+      }
+      if (dataType_ != 0) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeInt32Size(2, dataType_);
+      }
+      if (segment_ != null) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(3, getSegment());
+      }
+      {
+        int dataSize = 0;
+        dataSize = 4 * getFloatDataList().size();
+        size += dataSize;
+        if (!getFloatDataList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        floatDataMemoizedSerializedSize = dataSize;
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < int32Data_.size(); i++) {
+          dataSize += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt32SizeNoTag(int32Data_.getInt(i));
+        }
+        size += dataSize;
+        if (!getInt32DataList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        int32DataMemoizedSerializedSize = dataSize;
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < stringData_.size(); i++) {
+          dataSize += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeBytesSizeNoTag(stringData_.get(i));
+        }
+        size += dataSize;
+        size += 1 * getStringDataList().size();
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < int64Data_.size(); i++) {
+          dataSize += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt64SizeNoTag(int64Data_.getLong(i));
+        }
+        size += dataSize;
+        if (!getInt64DataList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        int64DataMemoizedSerializedSize = dataSize;
+      }
+      if (!getNameBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(8, name_);
+      }
+      if (!rawData_.isEmpty()) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeBytesSize(9, rawData_);
+      }
+      {
+        int dataSize = 0;
+        dataSize = 8 * getDoubleDataList().size();
+        size += dataSize;
+        if (!getDoubleDataList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        doubleDataMemoizedSerializedSize = dataSize;
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < uint64Data_.size(); i++) {
+          dataSize += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeUInt64SizeNoTag(uint64Data_.getLong(i));
+        }
+        size += dataSize;
+        if (!getUint64DataList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        uint64DataMemoizedSerializedSize = dataSize;
+      }
+      if (!getDocStringBytes().isEmpty()) {
+        size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(12, docString_);
+      }
+      for (int i = 0; i < externalData_.size(); i++) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeMessageSize(13, externalData_.get(i));
+      }
+      if (dataLocation_ != org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.DEFAULT.getNumber()) {
+        size += org.nd4j.shade.protobuf.CodedOutputStream
+          .computeEnumSize(14, dataLocation_);
+      }
+      {
+        int dataSize = 0;
+        for (int i = 0; i < halfVal_.size(); i++) {
+          dataSize += org.nd4j.shade.protobuf.CodedOutputStream
+            .computeInt32SizeNoTag(halfVal_.getInt(i));
+        }
+        size += dataSize;
+        if (!getHalfValList().isEmpty()) {
+          size += 1;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        halfValMemoizedSerializedSize = dataSize;
+      }
+      {
+        int dataSize = 0;
+        dataSize = 1 * getBoolValList().size();
+        size += dataSize;
+        if (!getBoolValList().isEmpty()) {
+          size += 2;
+          size += org.nd4j.shade.protobuf.CodedOutputStream
+              .computeInt32SizeNoTag(dataSize);
+        }
+        boolValMemoizedSerializedSize = dataSize;
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+       return true;
+      }
+      if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorProto)) {
+        return super.equals(obj);
+      }
+      org.nd4j.ir.TensorNamespace.TensorProto other = (org.nd4j.ir.TensorNamespace.TensorProto) obj;
+
+      if (!getDimsList()
+          .equals(other.getDimsList())) return false;
+      if (getDataType()
+          != other.getDataType()) return false;
+      if (hasSegment() != other.hasSegment()) return false;
+      if (hasSegment()) {
+        if (!getSegment()
+            .equals(other.getSegment())) return false;
+      }
+      if (!getFloatDataList()
+          .equals(other.getFloatDataList())) return false;
+      if (!getInt32DataList()
+          .equals(other.getInt32DataList())) return false;
+      if (!getStringDataList()
+          .equals(other.getStringDataList())) return false;
+      if (!getInt64DataList()
+          .equals(other.getInt64DataList())) return false;
+      if (!getName()
+          .equals(other.getName())) return false;
+      if (!getDocString()
+          .equals(other.getDocString())) return false;
+      if (!getRawData()
+          .equals(other.getRawData())) return false;
+      if (!getExternalDataList()
+          .equals(other.getExternalDataList())) return false;
+      if (dataLocation_ != other.dataLocation_) return false;
+      if (!getDoubleDataList()
+          .equals(other.getDoubleDataList())) return false;
+      if (!getUint64DataList()
+          .equals(other.getUint64DataList())) return false;
+      if (!getHalfValList()
+          .equals(other.getHalfValList())) return false;
+      if (!getBoolValList()
+          .equals(other.getBoolValList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (getDimsCount() > 0) {
+        hash = (37 * hash) + DIMS_FIELD_NUMBER;
+        hash = (53 * hash) + getDimsList().hashCode();
+      }
+      hash = (37 * hash) + DATA_TYPE_FIELD_NUMBER;
+      hash = (53 * hash) + getDataType();
+      if (hasSegment()) {
+        hash = (37 * hash) + SEGMENT_FIELD_NUMBER;
+        hash = (53 * hash) + getSegment().hashCode();
+      }
+      if (getFloatDataCount() > 0) {
+        hash = (37 * hash) + FLOAT_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getFloatDataList().hashCode();
+      }
+      if (getInt32DataCount() > 0) {
+        hash = (37 * hash) + INT32_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getInt32DataList().hashCode();
+      }
+      if (getStringDataCount() > 0) {
+        hash = (37 * hash) + STRING_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getStringDataList().hashCode();
+      }
+      if (getInt64DataCount() > 0) {
+        hash = (37 * hash) + INT64_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getInt64DataList().hashCode();
+      }
+      hash = (37 * hash) + NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getName().hashCode();
+      hash = (37 * hash) + DOC_STRING_FIELD_NUMBER;
+      hash = (53 * hash) + getDocString().hashCode();
+      hash = (37 * hash) + RAW_DATA_FIELD_NUMBER;
+      hash = (53 * hash) + getRawData().hashCode();
+      if (getExternalDataCount() > 0) {
+        hash = (37 * hash) + EXTERNAL_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getExternalDataList().hashCode();
+      }
+      hash = (37 * hash) + DATA_LOCATION_FIELD_NUMBER;
+      hash = (53 * hash) + dataLocation_;
+      if (getDoubleDataCount() > 0) {
+        hash = (37 * hash) + DOUBLE_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getDoubleDataList().hashCode();
+      }
+      if (getUint64DataCount() > 0) {
+        hash = (37 * hash) + UINT64_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getUint64DataList().hashCode();
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+      if (getHalfValCount() > 0) {
+        hash = (37 * hash) + HALF_VAL_FIELD_NUMBER;
+        hash = (53 * hash) + getHalfValList().hashCode();
+      }
+      if (getBoolValCount() > 0) {
+        hash = (37 * hash) + BOOL_VAL_FIELD_NUMBER;
+        hash = (53 * hash) + getBoolValList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        java.nio.ByteBuffer data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        java.nio.ByteBuffer data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        org.nd4j.shade.protobuf.ByteString data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(byte[] data)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        byte[] data,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseDelimitedFrom(java.io.InputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseDelimitedFrom(
+        java.io.InputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input);
+    }
+    public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
+        org.nd4j.shade.protobuf.CodedInputStream input,
+        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return org.nd4j.shade.protobuf.GeneratedMessageV3
+          .parseWithIOException(PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() { return newBuilder(); }
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+    public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorProto prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE
+          ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * 
        +     * Tensors
+     * A serialized tensor value.
+     * 
        
+     *
+     * Protobuf type {@code org.nd4j.ir.TensorProto}
+     */
+    public static final class Builder extends
+        org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
+        // @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorProto)
+        org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder {
+      public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptor() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_descriptor;
+      }
+
+      @java.lang.Override
+      protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                org.nd4j.ir.TensorNamespace.TensorProto.class, org.nd4j.ir.TensorNamespace.TensorProto.Builder.class);
+      }
+
+      // Construct using org.nd4j.ir.TensorNamespace.TensorProto.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(
+          org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+      private void maybeForceBuilderInitialization() {
+        if (org.nd4j.shade.protobuf.GeneratedMessageV3
+                .alwaysUseFieldBuilders) {
+          getExternalDataFieldBuilder();
+        }
+      }
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        dims_ = emptyLongList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        dataType_ = 0;
+
+        if (segmentBuilder_ == null) {
+          segment_ = null;
+        } else {
+          segment_ = null;
+          segmentBuilder_ = null;
+        }
+        floatData_ = emptyFloatList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        int32Data_ = emptyIntList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+        stringData_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000008);
+        int64Data_ = emptyLongList();
+        bitField0_ = (bitField0_ & ~0x00000010);
+        name_ = "";
+
+        docString_ = "";
+
+        rawData_ = org.nd4j.shade.protobuf.ByteString.EMPTY;
+
+        if (externalDataBuilder_ == null) {
+          externalData_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000020);
+        } else {
+          externalDataBuilder_.clear();
+        }
+        dataLocation_ = 0;
+
+        doubleData_ = emptyDoubleList();
+        bitField0_ = (bitField0_ & ~0x00000040);
+        uint64Data_ = emptyLongList();
+        bitField0_ = (bitField0_ & ~0x00000080);
+        halfVal_ = emptyIntList();
+        bitField0_ = (bitField0_ & ~0x00000100);
+        boolVal_ = emptyBooleanList();
+        bitField0_ = (bitField0_ & ~0x00000200);
+        return this;
+      }
+
+      @java.lang.Override
+      public org.nd4j.shade.protobuf.Descriptors.Descriptor
+          getDescriptorForType() {
+        return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_descriptor;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorProto getDefaultInstanceForType() {
+        return org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorProto build() {
+        org.nd4j.ir.TensorNamespace.TensorProto result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public org.nd4j.ir.TensorNamespace.TensorProto buildPartial() {
+        org.nd4j.ir.TensorNamespace.TensorProto result = new org.nd4j.ir.TensorNamespace.TensorProto(this);
+        int from_bitField0_ = bitField0_;
+        if (((bitField0_ & 0x00000001) != 0)) {
+          dims_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.dims_ = dims_;
+        result.dataType_ = dataType_;
+        if (segmentBuilder_ == null) {
+          result.segment_ = segment_;
+        } else {
+          result.segment_ = segmentBuilder_.build();
+        }
+        if (((bitField0_ & 0x00000002) != 0)) {
+          floatData_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.floatData_ = floatData_;
+        if (((bitField0_ & 0x00000004) != 0)) {
+          int32Data_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000004);
+        }
+        result.int32Data_ = int32Data_;
+        if (((bitField0_ & 0x00000008) != 0)) {
+          stringData_ = java.util.Collections.unmodifiableList(stringData_);
+          bitField0_ = (bitField0_ & ~0x00000008);
+        }
+        result.stringData_ = stringData_;
+        if (((bitField0_ & 0x00000010) != 0)) {
+          int64Data_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000010);
+        }
+        result.int64Data_ = int64Data_;
+        result.name_ = name_;
+        result.docString_ = docString_;
+        result.rawData_ = rawData_;
+        if (externalDataBuilder_ == null) {
+          if (((bitField0_ & 0x00000020) != 0)) {
+            externalData_ = java.util.Collections.unmodifiableList(externalData_);
+            bitField0_ = (bitField0_ & ~0x00000020);
+          }
+          result.externalData_ = externalData_;
+        } else {
+          result.externalData_ = externalDataBuilder_.build();
+        }
+        result.dataLocation_ = dataLocation_;
+        if (((bitField0_ & 0x00000040) != 0)) {
+          doubleData_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000040);
+        }
+        result.doubleData_ = doubleData_;
+        if (((bitField0_ & 0x00000080) != 0)) {
+          uint64Data_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000080);
+        }
+        result.uint64Data_ = uint64Data_;
+        if (((bitField0_ & 0x00000100) != 0)) {
+          halfVal_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000100);
+        }
+        result.halfVal_ = halfVal_;
+        if (((bitField0_ & 0x00000200) != 0)) {
+          boolVal_.makeImmutable();
+          bitField0_ = (bitField0_ & ~0x00000200);
+        }
+        result.boolVal_ = boolVal_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+      @java.lang.Override
+      public Builder setField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.setField(field, value);
+      }
+      @java.lang.Override
+      public Builder clearField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+      @java.lang.Override
+      public Builder clearOneof(
+          org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+      @java.lang.Override
+      public Builder setRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          int index, java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+      @java.lang.Override
+      public Builder addRepeatedField(
+          org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
+          java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+      @java.lang.Override
+      public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
+        if (other instanceof org.nd4j.ir.TensorNamespace.TensorProto) {
+          return mergeFrom((org.nd4j.ir.TensorNamespace.TensorProto)other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorProto other) {
+        if (other == org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance()) return this;
+        if (!other.dims_.isEmpty()) {
+          if (dims_.isEmpty()) {
+            dims_ = other.dims_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureDimsIsMutable();
+            dims_.addAll(other.dims_);
+          }
+          onChanged();
+        }
+        if (other.getDataType() != 0) {
+          setDataType(other.getDataType());
+        }
+        if (other.hasSegment()) {
+          mergeSegment(other.getSegment());
+        }
+        if (!other.floatData_.isEmpty()) {
+          if (floatData_.isEmpty()) {
+            floatData_ = other.floatData_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureFloatDataIsMutable();
+            floatData_.addAll(other.floatData_);
+          }
+          onChanged();
+        }
+        if (!other.int32Data_.isEmpty()) {
+          if (int32Data_.isEmpty()) {
+            int32Data_ = other.int32Data_;
+            bitField0_ = (bitField0_ & ~0x00000004);
+          } else {
+            ensureInt32DataIsMutable();
+            int32Data_.addAll(other.int32Data_);
+          }
+          onChanged();
+        }
+        if (!other.stringData_.isEmpty()) {
+          if (stringData_.isEmpty()) {
+            stringData_ = other.stringData_;
+            bitField0_ = (bitField0_ & ~0x00000008);
+          } else {
+            ensureStringDataIsMutable();
+            stringData_.addAll(other.stringData_);
+          }
+          onChanged();
+        }
+        if (!other.int64Data_.isEmpty()) {
+          if (int64Data_.isEmpty()) {
+            int64Data_ = other.int64Data_;
+            bitField0_ = (bitField0_ & ~0x00000010);
+          } else {
+            ensureInt64DataIsMutable();
+            int64Data_.addAll(other.int64Data_);
+          }
+          onChanged();
+        }
+        if (!other.getName().isEmpty()) {
+          name_ = other.name_;
+          onChanged();
+        }
+        if (!other.getDocString().isEmpty()) {
+          docString_ = other.docString_;
+          onChanged();
+        }
+        if (other.getRawData() != org.nd4j.shade.protobuf.ByteString.EMPTY) {
+          setRawData(other.getRawData());
+        }
+        if (externalDataBuilder_ == null) {
+          if (!other.externalData_.isEmpty()) {
+            if (externalData_.isEmpty()) {
+              externalData_ = other.externalData_;
+              bitField0_ = (bitField0_ & ~0x00000020);
+            } else {
+              ensureExternalDataIsMutable();
+              externalData_.addAll(other.externalData_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.externalData_.isEmpty()) {
+            if (externalDataBuilder_.isEmpty()) {
+              externalDataBuilder_.dispose();
+              externalDataBuilder_ = null;
+              externalData_ = other.externalData_;
+              bitField0_ = (bitField0_ & ~0x00000020);
+              externalDataBuilder_ = 
+                org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
+                   getExternalDataFieldBuilder() : null;
+            } else {
+              externalDataBuilder_.addAllMessages(other.externalData_);
+            }
+          }
+        }
+        if (other.dataLocation_ != 0) {
+          setDataLocationValue(other.getDataLocationValue());
+        }
+        if (!other.doubleData_.isEmpty()) {
+          if (doubleData_.isEmpty()) {
+            doubleData_ = other.doubleData_;
+            bitField0_ = (bitField0_ & ~0x00000040);
+          } else {
+            ensureDoubleDataIsMutable();
+            doubleData_.addAll(other.doubleData_);
+          }
+          onChanged();
+        }
+        if (!other.uint64Data_.isEmpty()) {
+          if (uint64Data_.isEmpty()) {
+            uint64Data_ = other.uint64Data_;
+            bitField0_ = (bitField0_ & ~0x00000080);
+          } else {
+            ensureUint64DataIsMutable();
+            uint64Data_.addAll(other.uint64Data_);
+          }
+          onChanged();
+        }
+        if (!other.halfVal_.isEmpty()) {
+          if (halfVal_.isEmpty()) {
+            halfVal_ = other.halfVal_;
+            bitField0_ = (bitField0_ & ~0x00000100);
+          } else {
+            ensureHalfValIsMutable();
+            halfVal_.addAll(other.halfVal_);
+          }
+          onChanged();
+        }
+        if (!other.boolVal_.isEmpty()) {
+          if (boolVal_.isEmpty()) {
+            boolVal_ = other.boolVal_;
+            bitField0_ = (bitField0_ & ~0x00000200);
+          } else {
+            ensureBoolValIsMutable();
+            boolVal_.addAll(other.boolVal_);
+          }
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        org.nd4j.ir.TensorNamespace.TensorProto parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (org.nd4j.ir.TensorNamespace.TensorProto) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+      private int bitField0_;
+
+      private org.nd4j.shade.protobuf.Internal.LongList dims_ = emptyLongList();
+      private void ensureDimsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          dims_ = mutableCopy(dims_);
+          bitField0_ |= 0x00000001;
+         }
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public java.util.List
+          getDimsList() {
+        return ((bitField0_ & 0x00000001) != 0) ?
+                 java.util.Collections.unmodifiableList(dims_) : dims_;
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public int getDimsCount() {
+        return dims_.size();
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public long getDims(int index) {
+        return dims_.getLong(index);
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public Builder setDims(
+          int index, long value) {
+        ensureDimsIsMutable();
+        dims_.setLong(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public Builder addDims(long value) {
+        ensureDimsIsMutable();
+        dims_.addLong(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public Builder addAllDims(
+          java.lang.Iterable values) {
+        ensureDimsIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, dims_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * The shape of the tensor.
+       * 
        
+       *
+       * repeated int64 dims = 1;
+       */
+      public Builder clearDims() {
+        dims_ = emptyLongList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+        return this;
+      }
+
+      private int dataType_ ;
+      /**
+       * 
        +       * The data type of the tensor.
+       * This field MUST have a valid TensorProto.DataType value
+       * 
        
+       *
+       * int32 data_type = 2;
+       */
+      public int getDataType() {
+        return dataType_;
+      }
+      /**
+       * 
        +       * The data type of the tensor.
+       * This field MUST have a valid TensorProto.DataType value
+       * 
        
+       *
+       * int32 data_type = 2;
+       */
+      public Builder setDataType(int value) {
+        
+        dataType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * The data type of the tensor.
+       * This field MUST have a valid TensorProto.DataType value
+       * 
        
+       *
+       * int32 data_type = 2;
+       */
+      public Builder clearDataType() {
+        
+        dataType_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.ir.TensorNamespace.TensorProto.Segment segment_;
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorProto.Segment, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder, org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder> segmentBuilder_;
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public boolean hasSegment() {
+        return segmentBuilder_ != null || segment_ != null;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto.Segment getSegment() {
+        if (segmentBuilder_ == null) {
+          return segment_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance() : segment_;
+        } else {
+          return segmentBuilder_.getMessage();
+        }
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public Builder setSegment(org.nd4j.ir.TensorNamespace.TensorProto.Segment value) {
+        if (segmentBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          segment_ = value;
+          onChanged();
+        } else {
+          segmentBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public Builder setSegment(
+          org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder builderForValue) {
+        if (segmentBuilder_ == null) {
+          segment_ = builderForValue.build();
+          onChanged();
+        } else {
+          segmentBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public Builder mergeSegment(org.nd4j.ir.TensorNamespace.TensorProto.Segment value) {
+        if (segmentBuilder_ == null) {
+          if (segment_ != null) {
+            segment_ =
+              org.nd4j.ir.TensorNamespace.TensorProto.Segment.newBuilder(segment_).mergeFrom(value).buildPartial();
+          } else {
+            segment_ = value;
+          }
+          onChanged();
+        } else {
+          segmentBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public Builder clearSegment() {
+        if (segmentBuilder_ == null) {
+          segment_ = null;
+          onChanged();
+        } else {
+          segment_ = null;
+          segmentBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder getSegmentBuilder() {
+        
+        onChanged();
+        return getSegmentFieldBuilder().getBuilder();
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder() {
+        if (segmentBuilder_ != null) {
+          return segmentBuilder_.getMessageOrBuilder();
+        } else {
+          return segment_ == null ?
+              org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance() : segment_;
+        }
+      }
+      /**
+       * .org.nd4j.ir.TensorProto.Segment segment = 3;
+       */
+      private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.TensorProto.Segment, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder, org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder> 
+          getSegmentFieldBuilder() {
+        if (segmentBuilder_ == null) {
+          segmentBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.TensorProto.Segment, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder, org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder>(
+                  getSegment(),
+                  getParentForChildren(),
+                  isClean());
+          segment_ = null;
+        }
+        return segmentBuilder_;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.FloatList floatData_ = emptyFloatList();
+      private void ensureFloatDataIsMutable() {
+        if (!((bitField0_ & 0x00000002) != 0)) {
+          floatData_ = mutableCopy(floatData_);
+          bitField0_ |= 0x00000002;
+         }
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public java.util.List
+          getFloatDataList() {
+        return ((bitField0_ & 0x00000002) != 0) ?
+                 java.util.Collections.unmodifiableList(floatData_) : floatData_;
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public int getFloatDataCount() {
+        return floatData_.size();
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public float getFloatData(int index) {
+        return floatData_.getFloat(index);
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public Builder setFloatData(
+          int index, float value) {
+        ensureFloatDataIsMutable();
+        floatData_.setFloat(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public Builder addFloatData(float value) {
+        ensureFloatDataIsMutable();
+        floatData_.addFloat(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public Builder addAllFloatData(
+          java.lang.Iterable values) {
+        ensureFloatDataIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, floatData_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For float and complex64 values
+       * Complex64 tensors are encoded as a single array of floats,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+       * 
        
+       *
+       * repeated float float_data = 4 [packed = true];
+       */
+      public Builder clearFloatData() {
+        floatData_ = emptyFloatList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.IntList int32Data_ = emptyIntList();
+      private void ensureInt32DataIsMutable() {
+        if (!((bitField0_ & 0x00000004) != 0)) {
+          int32Data_ = mutableCopy(int32Data_);
+          bitField0_ |= 0x00000004;
+         }
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public java.util.List
+          getInt32DataList() {
+        return ((bitField0_ & 0x00000004) != 0) ?
+                 java.util.Collections.unmodifiableList(int32Data_) : int32Data_;
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public int getInt32DataCount() {
+        return int32Data_.size();
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public int getInt32Data(int index) {
+        return int32Data_.getInt(index);
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public Builder setInt32Data(
+          int index, int value) {
+        ensureInt32DataIsMutable();
+        int32Data_.setInt(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public Builder addInt32Data(int value) {
+        ensureInt32DataIsMutable();
+        int32Data_.addInt(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public Builder addAllInt32Data(
+          java.lang.Iterable values) {
+        ensureInt32DataIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, int32Data_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For int32, uint8, int8, uint16, int16, bool, and float16 values
+       * float16 values must be bit-wise converted to an uint16_t prior
+       * to writing to the buffer.
+       * When this field is present, the data_type field MUST be
+       * INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+       * 
        
+       *
+       * repeated int32 int32_data = 5 [packed = true];
+       */
+      public Builder clearInt32Data() {
+        int32Data_ = emptyIntList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+        onChanged();
+        return this;
+      }
+
+      private java.util.List stringData_ = java.util.Collections.emptyList();
+      private void ensureStringDataIsMutable() {
+        if (!((bitField0_ & 0x00000008) != 0)) {
+          stringData_ = new java.util.ArrayList(stringData_);
+          bitField0_ |= 0x00000008;
+         }
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public java.util.List
+          getStringDataList() {
+        return ((bitField0_ & 0x00000008) != 0) ?
+                 java.util.Collections.unmodifiableList(stringData_) : stringData_;
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public int getStringDataCount() {
+        return stringData_.size();
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public org.nd4j.shade.protobuf.ByteString getStringData(int index) {
+        return stringData_.get(index);
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public Builder setStringData(
+          int index, org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureStringDataIsMutable();
+        stringData_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public Builder addStringData(org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  ensureStringDataIsMutable();
+        stringData_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public Builder addAllStringData(
+          java.lang.Iterable values) {
+        ensureStringDataIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, stringData_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For strings.
+       * Each element of string_data is a UTF-8 encoded Unicode
+       * string. No trailing null, no leading BOM. The protobuf "string"
+       * scalar type is not used to match ML community conventions.
+       * When this field is present, the data_type field MUST be STRING
+       * 
        
+       *
+       * repeated bytes string_data = 6;
+       */
+      public Builder clearStringData() {
+        stringData_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000008);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.LongList int64Data_ = emptyLongList();
+      private void ensureInt64DataIsMutable() {
+        if (!((bitField0_ & 0x00000010) != 0)) {
+          int64Data_ = mutableCopy(int64Data_);
+          bitField0_ |= 0x00000010;
+         }
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public java.util.List
+          getInt64DataList() {
+        return ((bitField0_ & 0x00000010) != 0) ?
+                 java.util.Collections.unmodifiableList(int64Data_) : int64Data_;
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public int getInt64DataCount() {
+        return int64Data_.size();
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public long getInt64Data(int index) {
+        return int64Data_.getLong(index);
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public Builder setInt64Data(
+          int index, long value) {
+        ensureInt64DataIsMutable();
+        int64Data_.setLong(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public Builder addInt64Data(long value) {
+        ensureInt64DataIsMutable();
+        int64Data_.addLong(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public Builder addAllInt64Data(
+          java.lang.Iterable values) {
+        ensureInt64DataIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, int64Data_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For int64.
+       * When this field is present, the data_type field MUST be INT64
+       * 
        
+       *
+       * repeated int64 int64_data = 7 [packed = true];
+       */
+      public Builder clearInt64Data() {
+        int64Data_ = emptyLongList();
+        bitField0_ = (bitField0_ & ~0x00000010);
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object name_ = "";
+      /**
+       * 
        +       * Optionally, a name for the tensor.
+       * 
        
+       *
+       * string name = 8;
+       */
+      public java.lang.String getName() {
+        java.lang.Object ref = name_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          name_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * 
        +       * Optionally, a name for the tensor.
+       * 
        
+       *
+       * string name = 8;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getNameBytes() {
+        java.lang.Object ref = name_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          name_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * 
        +       * Optionally, a name for the tensor.
+       * 
        
+       *
+       * string name = 8;
+       */
+      public Builder setName(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        name_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * Optionally, a name for the tensor.
+       * 
        
+       *
+       * string name = 8;
+       */
+      public Builder clearName() {
+        
+        name_ = getDefaultInstance().getName();
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * Optionally, a name for the tensor.
+       * 
        
+       *
+       * string name = 8;
+       */
+      public Builder setNameBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        name_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object docString_ = "";
+      /**
+       * 
        +       * A human-readable documentation for this tensor. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 12;
+       */
+      public java.lang.String getDocString() {
+        java.lang.Object ref = docString_;
+        if (!(ref instanceof java.lang.String)) {
+          org.nd4j.shade.protobuf.ByteString bs =
+              (org.nd4j.shade.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          docString_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       * 
        +       * A human-readable documentation for this tensor. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 12;
+       */
+      public org.nd4j.shade.protobuf.ByteString
+          getDocStringBytes() {
+        java.lang.Object ref = docString_;
+        if (ref instanceof String) {
+          org.nd4j.shade.protobuf.ByteString b = 
+              org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
+                  (java.lang.String) ref);
+          docString_ = b;
+          return b;
+        } else {
+          return (org.nd4j.shade.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       * 
        +       * A human-readable documentation for this tensor. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 12;
+       */
+      public Builder setDocString(
+          java.lang.String value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        docString_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * A human-readable documentation for this tensor. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 12;
+       */
+      public Builder clearDocString() {
+        
+        docString_ = getDefaultInstance().getDocString();
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * A human-readable documentation for this tensor. Markdown is allowed.
+       * 
        
+       *
+       * string doc_string = 12;
+       */
+      public Builder setDocStringBytes(
+          org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  checkByteStringIsUtf8(value);
+        
+        docString_ = value;
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.ByteString rawData_ = org.nd4j.shade.protobuf.ByteString.EMPTY;
+      /**
+       * 
        +       * Serializations can either use one of the fields above, or use this
+       * raw bytes field. The only exception is the string case, where one is
+       * required to store the content in the repeated bytes string_data field.
+       * When this raw_data field is used to store tensor value, elements MUST
+       * be stored in as fixed-width, little-endian order.
+       * Floating-point data types MUST be stored in IEEE 754 format.
+       * Complex64 elements must be written as two consecutive FLOAT values, real component first.
+       * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
+       * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
+       * Note: the advantage of specific field rather than the raw_data field is
+       * that in some cases (e.g. int data), protobuf does a better packing via
+       * variable length storage, and may lead to smaller binary footprint.
+       * When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
+       * 
        
+       *
+       * bytes raw_data = 9;
+       */
+      public org.nd4j.shade.protobuf.ByteString getRawData() {
+        return rawData_;
+      }
+      /**
+       * 
        +       * Serializations can either use one of the fields above, or use this
+       * raw bytes field. The only exception is the string case, where one is
+       * required to store the content in the repeated bytes string_data field.
+       * When this raw_data field is used to store tensor value, elements MUST
+       * be stored in as fixed-width, little-endian order.
+       * Floating-point data types MUST be stored in IEEE 754 format.
+       * Complex64 elements must be written as two consecutive FLOAT values, real component first.
+       * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
+       * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
+       * Note: the advantage of specific field rather than the raw_data field is
+       * that in some cases (e.g. int data), protobuf does a better packing via
+       * variable length storage, and may lead to smaller binary footprint.
+       * When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
+       * 
        
+       *
+       * bytes raw_data = 9;
+       */
+      public Builder setRawData(org.nd4j.shade.protobuf.ByteString value) {
+        if (value == null) {
+    throw new NullPointerException();
+  }
+  
+        rawData_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * Serializations can either use one of the fields above, or use this
+       * raw bytes field. The only exception is the string case, where one is
+       * required to store the content in the repeated bytes string_data field.
+       * When this raw_data field is used to store tensor value, elements MUST
+       * be stored in as fixed-width, little-endian order.
+       * Floating-point data types MUST be stored in IEEE 754 format.
+       * Complex64 elements must be written as two consecutive FLOAT values, real component first.
+       * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
+       * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
+       * Note: the advantage of specific field rather than the raw_data field is
+       * that in some cases (e.g. int data), protobuf does a better packing via
+       * variable length storage, and may lead to smaller binary footprint.
+       * When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
+       * 
        
+       *
+       * bytes raw_data = 9;
+       */
+      public Builder clearRawData() {
+        
+        rawData_ = getDefaultInstance().getRawData();
+        onChanged();
+        return this;
+      }
+
+      private java.util.List externalData_ =
+        java.util.Collections.emptyList();
+      private void ensureExternalDataIsMutable() {
+        if (!((bitField0_ & 0x00000020) != 0)) {
+          externalData_ = new java.util.ArrayList(externalData_);
+          bitField0_ |= 0x00000020;
+         }
+      }
+
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.StringStringEntryProto, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder, org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder> externalDataBuilder_;
+
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public java.util.List getExternalDataList() {
+        if (externalDataBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(externalData_);
+        } else {
+          return externalDataBuilder_.getMessageList();
+        }
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public int getExternalDataCount() {
+        if (externalDataBuilder_ == null) {
+          return externalData_.size();
+        } else {
+          return externalDataBuilder_.getCount();
+        }
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public org.nd4j.ir.TensorNamespace.StringStringEntryProto getExternalData(int index) {
+        if (externalDataBuilder_ == null) {
+          return externalData_.get(index);
+        } else {
+          return externalDataBuilder_.getMessage(index);
+        }
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder setExternalData(
+          int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto value) {
+        if (externalDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureExternalDataIsMutable();
+          externalData_.set(index, value);
+          onChanged();
+        } else {
+          externalDataBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder setExternalData(
+          int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder builderForValue) {
+        if (externalDataBuilder_ == null) {
+          ensureExternalDataIsMutable();
+          externalData_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          externalDataBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder addExternalData(org.nd4j.ir.TensorNamespace.StringStringEntryProto value) {
+        if (externalDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureExternalDataIsMutable();
+          externalData_.add(value);
+          onChanged();
+        } else {
+          externalDataBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder addExternalData(
+          int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto value) {
+        if (externalDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureExternalDataIsMutable();
+          externalData_.add(index, value);
+          onChanged();
+        } else {
+          externalDataBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder addExternalData(
+          org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder builderForValue) {
+        if (externalDataBuilder_ == null) {
+          ensureExternalDataIsMutable();
+          externalData_.add(builderForValue.build());
+          onChanged();
+        } else {
+          externalDataBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder addExternalData(
+          int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder builderForValue) {
+        if (externalDataBuilder_ == null) {
+          ensureExternalDataIsMutable();
+          externalData_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          externalDataBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder addAllExternalData(
+          java.lang.Iterable values) {
+        if (externalDataBuilder_ == null) {
+          ensureExternalDataIsMutable();
+          org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+              values, externalData_);
+          onChanged();
+        } else {
+          externalDataBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder clearExternalData() {
+        if (externalDataBuilder_ == null) {
+          externalData_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000020);
+          onChanged();
+        } else {
+          externalDataBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public Builder removeExternalData(int index) {
+        if (externalDataBuilder_ == null) {
+          ensureExternalDataIsMutable();
+          externalData_.remove(index);
+          onChanged();
+        } else {
+          externalDataBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder getExternalDataBuilder(
+          int index) {
+        return getExternalDataFieldBuilder().getBuilder(index);
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(
+          int index) {
+        if (externalDataBuilder_ == null) {
+          return externalData_.get(index);  } else {
+          return externalDataBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public java.util.List 
+           getExternalDataOrBuilderList() {
+        if (externalDataBuilder_ != null) {
+          return externalDataBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(externalData_);
+        }
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder addExternalDataBuilder() {
+        return getExternalDataFieldBuilder().addBuilder(
+            org.nd4j.ir.TensorNamespace.StringStringEntryProto.getDefaultInstance());
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder addExternalDataBuilder(
+          int index) {
+        return getExternalDataFieldBuilder().addBuilder(
+            index, org.nd4j.ir.TensorNamespace.StringStringEntryProto.getDefaultInstance());
+      }
+      /**
+       * 
        +       * Data can be stored inside the protobuf file using type-specific fields or raw_data.
+       * Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+       * external_data stores key-value pairs describing data location. Recognized keys are:
+       * - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+       *                           protobuf model was stored
+       * - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+       *                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+       * - "length" (optional) - number of bytes containing data. Integer stored as string.
+       * - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+       * 
        
+       *
+       * repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
+       */
+      public java.util.List 
+           getExternalDataBuilderList() {
+        return getExternalDataFieldBuilder().getBuilderList();
+      }
+      private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+          org.nd4j.ir.TensorNamespace.StringStringEntryProto, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder, org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder> 
+          getExternalDataFieldBuilder() {
+        if (externalDataBuilder_ == null) {
+          externalDataBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
+              org.nd4j.ir.TensorNamespace.StringStringEntryProto, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder, org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder>(
+                  externalData_,
+                  ((bitField0_ & 0x00000020) != 0),
+                  getParentForChildren(),
+                  isClean());
+          externalData_ = null;
+        }
+        return externalDataBuilder_;
+      }
+
+      private int dataLocation_ = 0;
+      /**
+       * 
        +       * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+       * 
        
+       *
+       * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+       */
+      public int getDataLocationValue() {
+        return dataLocation_;
+      }
+      /**
+       * 
        +       * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+       * 
        
+       *
+       * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+       */
+      public Builder setDataLocationValue(int value) {
+        dataLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+       * 
        
+       *
+       * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+       */
+      public org.nd4j.ir.TensorNamespace.TensorProto.DataLocation getDataLocation() {
+        @SuppressWarnings("deprecation")
+        org.nd4j.ir.TensorNamespace.TensorProto.DataLocation result = org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.valueOf(dataLocation_);
+        return result == null ? org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.UNRECOGNIZED : result;
+      }
+      /**
+       * 
        +       * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+       * 
        
+       *
+       * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+       */
+      public Builder setDataLocation(org.nd4j.ir.TensorNamespace.TensorProto.DataLocation value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        
+        dataLocation_ = value.getNumber();
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+       * 
        
+       *
+       * .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
+       */
+      public Builder clearDataLocation() {
+        
+        dataLocation_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.DoubleList doubleData_ = emptyDoubleList();
+      private void ensureDoubleDataIsMutable() {
+        if (!((bitField0_ & 0x00000040) != 0)) {
+          doubleData_ = mutableCopy(doubleData_);
+          bitField0_ |= 0x00000040;
+         }
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public java.util.List
+          getDoubleDataList() {
+        return ((bitField0_ & 0x00000040) != 0) ?
+                 java.util.Collections.unmodifiableList(doubleData_) : doubleData_;
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public int getDoubleDataCount() {
+        return doubleData_.size();
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public double getDoubleData(int index) {
+        return doubleData_.getDouble(index);
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public Builder setDoubleData(
+          int index, double value) {
+        ensureDoubleDataIsMutable();
+        doubleData_.setDouble(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public Builder addDoubleData(double value) {
+        ensureDoubleDataIsMutable();
+        doubleData_.addDouble(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public Builder addAllDoubleData(
+          java.lang.Iterable values) {
+        ensureDoubleDataIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, doubleData_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For double
+       * Complex128 tensors are encoded as a single array of doubles,
+       * with the real components appearing in odd numbered positions,
+       * and the corresponding imaginary component appearing in the
+       * subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+       * is encoded as [1.0, 2.0 ,3.0 ,4.0]
+       * When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+       * 
        
+       *
+       * repeated double double_data = 10 [packed = true];
+       */
+      public Builder clearDoubleData() {
+        doubleData_ = emptyDoubleList();
+        bitField0_ = (bitField0_ & ~0x00000040);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.LongList uint64Data_ = emptyLongList();
+      private void ensureUint64DataIsMutable() {
+        if (!((bitField0_ & 0x00000080) != 0)) {
+          uint64Data_ = mutableCopy(uint64Data_);
+          bitField0_ |= 0x00000080;
+         }
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public java.util.List
+          getUint64DataList() {
+        return ((bitField0_ & 0x00000080) != 0) ?
+                 java.util.Collections.unmodifiableList(uint64Data_) : uint64Data_;
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public int getUint64DataCount() {
+        return uint64Data_.size();
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public long getUint64Data(int index) {
+        return uint64Data_.getLong(index);
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public Builder setUint64Data(
+          int index, long value) {
+        ensureUint64DataIsMutable();
+        uint64Data_.setLong(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public Builder addUint64Data(long value) {
+        ensureUint64DataIsMutable();
+        uint64Data_.addLong(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public Builder addAllUint64Data(
+          java.lang.Iterable values) {
+        ensureUint64DataIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, uint64Data_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For uint64 and uint32 values
+       * When this field is present, the data_type field MUST be
+       * UINT32 or UINT64
+       * 
        
+       *
+       * repeated uint64 uint64_data = 11 [packed = true];
+       */
+      public Builder clearUint64Data() {
+        uint64Data_ = emptyLongList();
+        bitField0_ = (bitField0_ & ~0x00000080);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.IntList halfVal_ = emptyIntList();
+      private void ensureHalfValIsMutable() {
+        if (!((bitField0_ & 0x00000100) != 0)) {
+          halfVal_ = mutableCopy(halfVal_);
+          bitField0_ |= 0x00000100;
+         }
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public java.util.List
+          getHalfValList() {
+        return ((bitField0_ & 0x00000100) != 0) ?
+                 java.util.Collections.unmodifiableList(halfVal_) : halfVal_;
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public int getHalfValCount() {
+        return halfVal_.size();
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public int getHalfVal(int index) {
+        return halfVal_.getInt(index);
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public Builder setHalfVal(
+          int index, int value) {
+        ensureHalfValIsMutable();
+        halfVal_.setInt(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public Builder addHalfVal(int value) {
+        ensureHalfValIsMutable();
+        halfVal_.addInt(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public Builder addAllHalfVal(
+          java.lang.Iterable values) {
+        ensureHalfValIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, halfVal_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       * For half values (tensorflow compatibility)
+       * 
        
+       *
+       * repeated int32 half_val = 15 [packed = true];
+       */
+      public Builder clearHalfVal() {
+        halfVal_ = emptyIntList();
+        bitField0_ = (bitField0_ & ~0x00000100);
+        onChanged();
+        return this;
+      }
+
+      private org.nd4j.shade.protobuf.Internal.BooleanList boolVal_ = emptyBooleanList();
+      private void ensureBoolValIsMutable() {
+        if (!((bitField0_ & 0x00000200) != 0)) {
+          boolVal_ = mutableCopy(boolVal_);
+          bitField0_ |= 0x00000200;
+         }
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public java.util.List
+          getBoolValList() {
+        return ((bitField0_ & 0x00000200) != 0) ?
+                 java.util.Collections.unmodifiableList(boolVal_) : boolVal_;
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public int getBoolValCount() {
+        return boolVal_.size();
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public boolean getBoolVal(int index) {
+        return boolVal_.getBoolean(index);
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public Builder setBoolVal(
+          int index, boolean value) {
+        ensureBoolValIsMutable();
+        boolVal_.setBoolean(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public Builder addBoolVal(boolean value) {
+        ensureBoolValIsMutable();
+        boolVal_.addBoolean(value);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public Builder addAllBoolVal(
+          java.lang.Iterable values) {
+        ensureBoolValIsMutable();
+        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
+            values, boolVal_);
+        onChanged();
+        return this;
+      }
+      /**
+       * 
        +       *boolean values
+       * 
        
+       *
+       * repeated bool bool_val = 16 [packed = true];
+       */
+      public Builder clearBoolVal() {
+        boolVal_ = emptyBooleanList();
+        bitField0_ = (bitField0_ & ~0x00000200);
+        onChanged();
+        return this;
+      }
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+
+      // @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorProto)
+    }
+
+    // @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorProto)
+    private static final org.nd4j.ir.TensorNamespace.TensorProto DEFAULT_INSTANCE;
+    static {
+      DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorProto();
+    }
+
+    public static org.nd4j.ir.TensorNamespace.TensorProto getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final org.nd4j.shade.protobuf.Parser
+        PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
+      @java.lang.Override
+      public TensorProto parsePartialFrom(
+          org.nd4j.shade.protobuf.CodedInputStream input,
+          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
+        return new TensorProto(input, extensionRegistry);
+      }
+    };
+
+    public static org.nd4j.shade.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.shade.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public org.nd4j.ir.TensorNamespace.TensorProto getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+
+  }
+
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_StringStringEntryProto_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_StringStringEntryProto_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TypeProto_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TensorProto_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TensorProto_fieldAccessorTable;
+  private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
+    internal_static_org_nd4j_ir_TensorProto_Segment_descriptor;
+  private static final 
+    org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_org_nd4j_ir_TensorProto_Segment_fieldAccessorTable;
+
+  public static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      getDescriptor() {
+    return descriptor;
+  }
+  private static  org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      descriptor;
+  static {
+    java.lang.String[] descriptorData = {
+      "\n\014tensor.proto\022\013org.nd4j.ir\"4\n\026StringStr" +
+      "ingEntryProto\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(" +
+      "\t\"\300\001\n\tTypeProto\022>\n\013tensor_type\030\001 \001(\0132\'.o" +
+      "rg.nd4j.ir.TypeProto.TensorDescriptorH\000\032" +
+      "j\n\020TensorDescriptor\022(\n\telem_type\030\001 \001(\0162\025" +
+      ".org.nd4j.ir.DataType\022,\n\005shape\030\002 \001(\0132\035.o" +
+      "rg.nd4j.ir.TensorShapeProtoB\007\n\005value\"\210\001\n" +
+      "\020TensorShapeProto\0224\n\003dim\030\001 \003(\0132\'.org.nd4" +
+      "j.ir.TensorShapeProto.Dimension\032>\n\tDimen" +
+      "sion\022\023\n\tdim_value\030\001 \001(\003H\000\022\023\n\tdim_param\030\002" +
+      " \001(\tH\000B\007\n\005value\"X\n\016ValueInfoProto\022\014\n\004nam" +
+      "e\030\001 \001(\t\022$\n\004type\030\002 \001(\0132\026.org.nd4j.ir.Type" +
+      "Proto\022\022\n\ndoc_string\030\003 \001(\t\"\234\004\n\013TensorProt" +
+      "o\022\014\n\004dims\030\001 \003(\003\022\021\n\tdata_type\030\002 \001(\005\0221\n\007se" +
+      "gment\030\003 \001(\0132 .org.nd4j.ir.TensorProto.Se" +
+      "gment\022\026\n\nfloat_data\030\004 \003(\002B\002\020\001\022\026\n\nint32_d" +
+      "ata\030\005 \003(\005B\002\020\001\022\023\n\013string_data\030\006 \003(\014\022\026\n\nin" +
+      "t64_data\030\007 \003(\003B\002\020\001\022\014\n\004name\030\010 \001(\t\022\022\n\ndoc_" +
+      "string\030\014 \001(\t\022\020\n\010raw_data\030\t \001(\014\022:\n\rextern" +
+      "al_data\030\r \003(\0132#.org.nd4j.ir.StringString" +
+      "EntryProto\022<\n\rdata_location\030\016 \001(\0162%.org." +
+      "nd4j.ir.TensorProto.DataLocation\022\027\n\013doub" +
+      "le_data\030\n \003(\001B\002\020\001\022\027\n\013uint64_data\030\013 \003(\004B\002" +
+      "\020\001\022\024\n\010half_val\030\017 \003(\005B\002\020\001\022\024\n\010bool_val\030\020 \003" +
+      "(\010B\002\020\001\032%\n\007Segment\022\r\n\005begin\030\001 \001(\003\022\013\n\003end\030" +
+      "\002 \001(\003\")\n\014DataLocation\022\013\n\007DEFAULT\020\000\022\014\n\010EX" +
+      "TERNAL\020\001*\332\001\n\010DataType\022\r\n\tUNDEFINED\020\000\022\t\n\005" +
+      "FLOAT\020\001\022\t\n\005UINT8\020\002\022\010\n\004INT8\020\003\022\n\n\006UINT16\020\004" +
+      "\022\t\n\005INT16\020\005\022\t\n\005INT32\020\006\022\t\n\005INT64\020\007\022\n\n\006STR" +
+      "ING\020\010\022\010\n\004BOOL\020\t\022\013\n\007FLOAT16\020\n\022\n\n\006DOUBLE\020\013" +
+      "\022\n\n\006UINT32\020\014\022\n\n\006UINT64\020\r\022\r\n\tCOMPLEX64\020\016\022" +
+      "\016\n\nCOMPLEX128\020\017\022\014\n\010BFLOAT16\020\020B\021B\017TensorN" +
+      "amespaceb\006proto3"
+    };
+    descriptor = org.nd4j.shade.protobuf.Descriptors.FileDescriptor
+      .internalBuildGeneratedFileFrom(descriptorData,
+        new org.nd4j.shade.protobuf.Descriptors.FileDescriptor[] {
+        });
+    internal_static_org_nd4j_ir_StringStringEntryProto_descriptor =
+      getDescriptor().getMessageTypes().get(0);
+    internal_static_org_nd4j_ir_StringStringEntryProto_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_StringStringEntryProto_descriptor,
+        new java.lang.String[] { "Key", "Value", });
+    internal_static_org_nd4j_ir_TypeProto_descriptor =
+      getDescriptor().getMessageTypes().get(1);
+    internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TypeProto_descriptor,
+        new java.lang.String[] { "TensorType", "Value", });
+    internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor =
+      internal_static_org_nd4j_ir_TypeProto_descriptor.getNestedTypes().get(0);
+    internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor,
+        new java.lang.String[] { "ElemType", "Shape", });
+    internal_static_org_nd4j_ir_TensorShapeProto_descriptor =
+      getDescriptor().getMessageTypes().get(2);
+    internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TensorShapeProto_descriptor,
+        new java.lang.String[] { "Dim", });
+    internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor =
+      internal_static_org_nd4j_ir_TensorShapeProto_descriptor.getNestedTypes().get(0);
+    internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor,
+        new java.lang.String[] { "DimValue", "DimParam", "Value", });
+    internal_static_org_nd4j_ir_ValueInfoProto_descriptor =
+      getDescriptor().getMessageTypes().get(3);
+    internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_ValueInfoProto_descriptor,
+        new java.lang.String[] { "Name", "Type", "DocString", });
+    internal_static_org_nd4j_ir_TensorProto_descriptor =
+      getDescriptor().getMessageTypes().get(4);
+    internal_static_org_nd4j_ir_TensorProto_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TensorProto_descriptor,
+        new java.lang.String[] { "Dims", "DataType", "Segment", "FloatData", "Int32Data", "StringData", "Int64Data", "Name", "DocString", "RawData", "ExternalData", "DataLocation", "DoubleData", "Uint64Data", "HalfVal", "BoolVal", });
+    internal_static_org_nd4j_ir_TensorProto_Segment_descriptor =
+      internal_static_org_nd4j_ir_TensorProto_descriptor.getNestedTypes().get(0);
+    internal_static_org_nd4j_ir_TensorProto_Segment_fieldAccessorTable = new
+      org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
+        internal_static_org_nd4j_ir_TensorProto_Segment_descriptor,
+        new java.lang.String[] { "Begin", "End", });
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/Activation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/Activation.java
index e166461e1..90063c5e3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/Activation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/Activation.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations;
 
@@ -20,11 +24,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.activations.impl.*;
 
-/**
- * This enum is the factory for the activation function.
- *
- * Created by susaneraly on 12/8/16.
- */
 public enum Activation {
     CUBE, ELU, HARDSIGMOID, HARDTANH, IDENTITY, LEAKYRELU, RATIONALTANH, RELU, RELU6,
     RRELU, SIGMOID, SOFTMAX, SOFTPLUS, SOFTSIGN, TANH, RECTIFIEDTANH, SELU, SWISH,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/BaseActivationFunction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/BaseActivationFunction.java
index ccdb119e6..a8482503f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/BaseActivationFunction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/BaseActivationFunction.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Arrays;
 
-/**
- * Base IActivation for activation functions without parameters
- *
- * @author Alex Black
- */
 public abstract class BaseActivationFunction implements IActivation {
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/IActivation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/IActivation.java
index e67a99c8a..17516a88a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/IActivation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/IActivation.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations;
 
@@ -24,9 +28,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * Interface for implementing custom activation functions
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class",
         defaultImpl = LegacyIActivationDeserializerHelper.class)
 @JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationCube.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationCube.java
index c1c938a98..6dadfbb12 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationCube.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationCube.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationELU.java
index 71f31cba5..2e7bdf90d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationELU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.strict.ELU;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.primitives.Pair;
 
-/**
- *  f(x) = alpha * (exp(x) - 1.0); x < 0
- *       = x ; x>= 0
- *
- *  alpha defaults to 1, if not specified
- */
 @EqualsAndHashCode(callSuper = false)
 @Getter
 public class ActivationELU extends BaseActivationFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationGELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationGELU.java
index 953cb2587..f9fe2714b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationGELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationGELU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * GELU activation function - Gaussian Error Linear Units
- *
- * @see GELU
- */
 @EqualsAndHashCode(callSuper = false)
 @Getter
 public class ActivationGELU extends BaseActivationFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardSigmoid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardSigmoid.java
index 623757bb0..176faa227 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardSigmoid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardSigmoid.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardTanH.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardTanH.java
index cc11a3810..c6eafce62 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardTanH.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationHardTanH.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationIdentity.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationIdentity.java
index f86f1c21e..46124c636 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationIdentity.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationIdentity.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationLReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationLReLU.java
index 8e0faf160..9a3d34a65 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationLReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationLReLU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationMish.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationMish.java
index f0d873215..6bb84e215 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationMish.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationMish.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationPReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationPReLU.java
index 7ab79d81f..c7bf5778c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationPReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationPReLU.java
@@ -1,19 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -25,15 +28,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.primitives.Pair;
 
-/**
- /** Parametrized Rectified Linear Unit (PReLU)
- *
- * f(x) = alpha * x for x < 0, f(x) = x for x >= 0
- *
- * alpha has the same shape as x and is a learned parameter.
- *
- * @author Max Pumperla
- */
 @EqualsAndHashCode(callSuper = false)
 @Getter
 public class ActivationPReLU extends BaseActivationFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRReLU.java
index 8e0161839..e03837717 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRReLU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -28,15 +32,6 @@ import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 import org.nd4j.shade.jackson.annotation.JsonIgnoreProperties;
 
-/**
- * f(x) = max(0,x) + alpha * min(0, x)
- *
- *  alpha is drawn from uniform(l,u) during training and is set to l+u/2 during test
- *  l and u default to 1/8 and 1/3 respectively
- *
- *  
- *  Empirical Evaluation of Rectified Activations in Convolutional Network
- */
 @EqualsAndHashCode(callSuper = false)
 @JsonIgnoreProperties({"alpha"})
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRationalTanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRationalTanh.java
index dd0bf6566..88efec253 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRationalTanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRationalTanh.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -25,16 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Rational tanh approximation
- * From https://arxiv.org/pdf/1508.01292v3
- *
- * f(x) = 1.7159 * tanh(2x/3)
- * where tanh is approximated as follows,
- * tanh(y) ~ sgn(y) * { 1 - 1/(1+|y|+y^2+1.41645*y^4)}
- *
- * Underlying implementation is in native code
- */
 @EqualsAndHashCode(callSuper = false)
 @Getter
 public class ActivationRationalTanh extends BaseActivationFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU.java
index 52cc5015e..d96088dc7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU6.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU6.java
index d5e0cb76c..cceffca44 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU6.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationReLU6.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * f(x) = min(max(input, cutoff), 6)
- */
 @EqualsAndHashCode(callSuper = false)
 @Getter
 public class ActivationReLU6 extends BaseActivationFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRectifiedTanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRectifiedTanh.java
index 9764e55d2..60c7827ba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRectifiedTanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationRectifiedTanh.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Rectified tanh
- *
- * Essentially max(0, tanh(x))
- *
- * Underlying implementation is in native code
- */
 @EqualsAndHashCode(callSuper = false)
 @Getter
 public class ActivationRectifiedTanh extends BaseActivationFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSELU.java
index d7f71e382..d4d87391d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSELU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSigmoid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSigmoid.java
index de2db231a..fc388b0d7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSigmoid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSigmoid.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftPlus.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftPlus.java
index 6f2c82ba7..927e7dcd9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftPlus.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftPlus.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftSign.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftSign.java
index aefe0297e..e7c2261c8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftSign.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftSign.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftmax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftmax.java
index dfcabe269..bb8b68430 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftmax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSoftmax.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSwish.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSwish.java
index 793181112..a9cf2f6f7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSwish.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationSwish.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationTanH.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationTanH.java
index 2b29bada4..4016a1659 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationTanH.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationTanH.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationThresholdedReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationThresholdedReLU.java
index 5eb1c3e9c..9ae0df963 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationThresholdedReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/activations/impl/ActivationThresholdedReLU.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.activations.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Blas.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Blas.java
index 8dc4a0ae4..fe5c1ff50 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Blas.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Blas.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
-/**
- * Extra functionality for BLAS
- *
- * @author saudet
- */
 public interface Blas {
 
     public enum Vendor {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasBufferUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasBufferUtil.java
index ff6f852ce..df61d777d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasBufferUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasBufferUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasException.java
index 8fb132574..9e9e807b5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/BlasException.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
-/**
- * General exception for Blas library errors
- * 
- */
 public class BlasException extends Error {
 
     public final static long serialVersionUID = 0xdeadbeef;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Lapack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Lapack.java
index 8d6cf4d0e..b112c73fd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Lapack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Lapack.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Lapack interface
- *
- * @author Adam Gibson
- * @author rcorbish
- */
 public interface Lapack {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level1.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level1.java
index 7101e5a72..3b82f6cbd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level1.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level1.java
@@ -1,43 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- *
- * Level 1 blas implementations.
- * Incx and other parameters are inferred
- * from the given ndarrays.
- *
- * To avoid boxing, doubles are used in place of normal numbers.
- * The underlying implementation will call the proper data opType.
- *
- * This is a fortran 95 style api that gives us the efficiency
- * and flexibility of the fortran 77 api
- *
- * Credit to:
- * https://www.ualberta.ca/AICT/RESEARCH/LinuxClusters/doc/mkl81/mklqref/blaslev1.htm
- *
- * for the descriptions
- *
- * @author Adam Gibson
- */
 public interface Level1 {
     /**
      * computes a vector-vector dot product.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level2.java
index db4499db0..f4011d94b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level2.java
@@ -1,42 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- *
- * Level 2 blas implementations.
- * Incx and other parameters are inferred
- * from the given ndarrays.
- *
- * To avoid boxing, doubles are used in place of normal numbers.
- * The underlying implementation will call the proper data opType.
- *
- * This is a fortran 95 style api that gives us the efficiency
- * and flexibility of the fortran 77 api
- *
- * Credit to:
- * https://www.ualberta.ca/AICT/RESEARCH/LinuxClusters/doc/mkl81/mklqref/blaslev2.htm
- *
- * for the descriptions
- *
- * @author Adam Gibson
- */
 public interface Level2 {
     /**
      * gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations: 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level3.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level3.java
index 8bdb95703..6e44d1788 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level3.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/Level3.java
@@ -1,42 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- 
-  Level 3 blas implementations.
-  Incx and other parameters are inferred
-  from the given ndarrays.
- 
-  To avoid boxing, doubles are used in place of normal numbers.
-  The underlying implementation will call the proper data opType.
- 
-  This is a fortran 95 style api that gives us the efficiency
-  and flexibility of the fortran 77 api
- 
-  Credit to:
-  https://www.ualberta.ca/AICT/RESEARCH/LinuxClusters/doc/mkl81/mklqref/blaslev3.htm
- 
-  for the descriptions
- 
-  @author Adam Gibson
-*/
 public interface Level3 {
     /**
      * gemm performs a matrix-matrix operation
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLapack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLapack.java
index 81a0e74e0..cf4487de4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLapack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLapack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.impl;
 
@@ -23,12 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.exception.ND4JArraySizeException;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Base lapack define float and double versions.
- *
- * @author Adam Gibson
- * @author rcorbish
- */
 @Slf4j
 public abstract class BaseLapack implements Lapack {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel.java
index b73a9b62d..3b793df35 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.impl;
 
-/**
- * Provides auxillary methods for
- * blas to databuffer interactions
- * @author Adam Gibson
- */
 public abstract class BaseLevel {
 
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel1.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel1.java
index cb5adefdb..eeeb9b9ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel1.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.impl;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.profiler.OpProfiler;
 
-/**
- * Base class for level 1 functions, abstract headers pulled from:
- * http://www.netlib.org/blas/blast-forum/cblas.h
- *
- * @author Adam Gibson
- */
 public abstract class BaseLevel1 extends BaseLevel implements Level1 {
     /**
      * computes a vector-vector dot product.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel2.java
index 3098da115..1743e993e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.impl;
 
@@ -29,12 +33,6 @@ import org.nd4j.linalg.exception.ND4JArraySizeException;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.profiler.OpProfiler;
 
-/**
- * Base class for level 2 functions, abstract headers pulled from:
- * http://www.netlib.org/blas/blast-forum/cblas.h
- *
- * @author Adam Gibson
- */
 public abstract class BaseLevel2 extends BaseLevel implements Level2 {
     /**
      * gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel3.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel3.java
index 8d9765aee..958396b81 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel3.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel3.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.impl;
 
@@ -30,12 +34,6 @@ import org.nd4j.linalg.exception.ND4JArraySizeException;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.profiler.OpProfiler;
 
-/**
- * Base class for level 3 functions, abstract headers pulled from:
- * http://www.netlib.org/blas/blast-forum/cblas.h
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseLevel3 extends BaseLevel implements Level3 {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemmParams.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemmParams.java
index 24719a952..9d436c542 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemmParams.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemmParams.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.params;
 
@@ -23,13 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Arrays;
 
-/**
- * Used for setting the gemm parameters
- * Separates blas logic from
- * the run time itself.
- *
- * @author Adam Gibson
- */
 public @Data class GemmParams {
     private int lda, ldb, ldc, m, n, k;
     private INDArray a, b, c;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemvParameters.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemvParameters.java
index 7330a4294..1e9822a08 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemvParameters.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/GemvParameters.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.params;
 
@@ -20,13 +24,6 @@ import lombok.Data;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.exception.ND4JArraySizeException;
 
-/**
- * Gemv parameters:
- * The parameters for general matrix
- * vector operations
- *
- * @author Adam Gibson
- */
 public @Data class GemvParameters {
     private int m, n, lda, incx, incy;
     private INDArray a, x, y;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/MMulTranspose.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/MMulTranspose.java
index f0d974a5f..a97049b58 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/MMulTranspose.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/params/MMulTranspose.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.blas.params;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/BaseDataBuffer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/BaseDataBuffer.java
index 2431d6b77..ada11553f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/BaseDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/BaseDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer;
 
@@ -35,13 +39,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
 
-/**
- * Base class for a data buffer
- * handling basic byte operations
- * among other things.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseDataBuffer implements DataBuffer {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataBuffer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataBuffer.java
index c6e1af9d0..510b60746 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer;
 
@@ -24,12 +28,6 @@ import java.io.*;
 import java.nio.ByteBuffer;
 import java.util.Collection;
 
-/**
- * A data buffer is an interface
- * for handling storage and retrieval of data
- *
- * @author Adam Gibson
- */
 public interface DataBuffer extends Serializable, AutoCloseable {
     enum TypeEx {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataType.java
index c48b7577c..5baa94bc0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer;
 
@@ -78,10 +82,18 @@ public enum DataType {
     public static final DataType UINT8 = DataType.UBYTE;
 
 
+    /**
+     * Values inherited from
+     *  https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/include/array/DataType.h
+     * @param type the input int type
+     * @return the appropriate data type
+     */
     public static DataType fromInt(int type) {
         switch (type) {
             case 1: return BOOL;
+            case 2: return FLOAT;
             case 3: return HALF;
+            case 4: return HALF;
             case 5: return FLOAT;
             case 6: return DOUBLE;
             case 7: return BYTE;
@@ -93,6 +105,7 @@ public enum DataType {
             case 13: return UINT32;
             case 14: return UINT64;
             case 17: return BFLOAT16;
+            case 100: return DataType.UNKNOWN;
             default: throw new UnsupportedOperationException("Unknown data type: [" + type + "]");
         }
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataTypeEx.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataTypeEx.java
index 627b1680c..8ab0f2c5a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataTypeEx.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/DataTypeEx.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/allocation/MemoryStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/allocation/MemoryStrategy.java
index 72283e783..9cb05da81 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/allocation/MemoryStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/allocation/MemoryStrategy.java
@@ -1,32 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer.allocation;
 
 
 import org.nd4j.linalg.api.buffer.DataBuffer;
 
-/**
- *
- * An allocation strategy handles allocating
- * and freeing memory for the gpu
- * (usually relative to the compute capabilities of the gpu)
- *
- * @author Adam Gibson
- */
 public interface MemoryStrategy {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/factory/DataBufferFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/factory/DataBufferFactory.java
index 3ca03ebe2..e21b2cd51 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/factory/DataBufferFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/factory/DataBufferFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer.factory;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.api.memory.MemoryWorkspace;
 
 import java.nio.ByteBuffer;
 
-/**
- * DataBufferFactory: Creates the data buffer wrt
- * a specified data opType
- *
- * @author Adam Gibson
- */
 public interface DataBufferFactory {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/AllocUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/AllocUtil.java
index f64058eaf..31ab8ca5c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/AllocUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/AllocUtil.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer.util;
 
 import org.nd4j.context.Nd4jContext;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 
-/**
- * Used for manipulating the  allocation
- * variable in nd4j's context
- *
- * @author Adam Gibson
- */
 public class AllocUtil {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/DataTypeUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/DataTypeUtil.java
index 15624209f..61f4a6b1d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/DataTypeUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/buffer/util/DataTypeUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.buffer.util;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import java.util.concurrent.locks.ReadWriteLock;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * Manipulates the data opType
- * for the nd4j context
- * @author Adam Gibson
- */
 public class DataTypeUtil {
 
     private volatile transient static DataType dtype;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/AffinityManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/AffinityManager.java
index 06cffb24f..6bf028a76 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/AffinityManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/AffinityManager.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.concurrency;
 
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 public interface AffinityManager {
 
     enum Location {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/ArrayType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/ArrayType.java
index d6cb2f03b..1753d5160 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/ArrayType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/ArrayType.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.concurrency;
 
-/**
- * This enum describes possible types of DistributedINDArray
- * @author raver119@gmail.com
- */
 public enum ArrayType {
     /**
      * This means DistributedINDArray will be equal on all ends, and will never be modified after replication/instantiation
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicAffinityManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicAffinityManager.java
index 664362308..ce64e812b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicAffinityManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicAffinityManager.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.concurrency;
 
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BasicAffinityManager implements AffinityManager {
     @Override
     public Integer getDeviceForCurrentThread() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicDistributedINDArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicDistributedINDArray.java
index 4111f4a24..686af2c2a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicDistributedINDArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/BasicDistributedINDArray.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.concurrency;
 
 import lombok.NonNull;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BasicDistributedINDArray implements DistributedINDArray {
     private final ArrayType arrayType;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/DistributedINDArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/DistributedINDArray.java
index 6f69521be..1c1e0d10e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/DistributedINDArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/concurrency/DistributedINDArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.concurrency;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 
-/**
- * This interface describe holder for INDArray which persists in this or that way on multiple computational devices, or on the same device but with different values
- *
- * @author raver119@gmail.com
- */
 public interface DistributedINDArray {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/environment/Nd4jEnvironment.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/environment/Nd4jEnvironment.java
index 8040f9dce..499f91328 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/environment/Nd4jEnvironment.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/environment/Nd4jEnvironment.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.environment;
 
@@ -28,22 +32,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.Properties;
 
-/**
- * An environment descriptor
- * representing the state of
- * the system nd4j is running.
- * The fields here include:
- * cpu ram
- * number of cpu cores
- * number of gpus
- * the amount of total ram for each gpu this backend is using
- * (indexed by device ordering, you can usually see this from nvidia-smi)
- * the blas vendor (typically openblas or cublas)
- * the number of max threads for blas
- * the number of open mp threads being used
- *
- * @author Adam Gibson
- */
 @Data
 @Builder
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FirstAxisIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FirstAxisIterator.java
index 5f6822f0d..80bf4b574 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FirstAxisIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FirstAxisIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.iter;
 
@@ -20,9 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Iterator;
 
-/**
- * @author Christian Weilbach
- */
 public class FirstAxisIterator implements Iterator {
     private INDArray iterateOver;
     private int i = 0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FlatIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FlatIterator.java
index 671a0ad22..7c0d8ab0a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FlatIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/FlatIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.iter;
 
@@ -20,9 +24,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.Iterator;
 
-/**
- * Created by agibsonccc on 9/15/15.
- */
 public class FlatIterator implements Iterator {
 
     private int[] shape;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/INDArrayIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/INDArrayIterator.java
index 490166b39..e1eb7a98e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/INDArrayIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/INDArrayIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.iter;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/LinearIndexLookup.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/LinearIndexLookup.java
index 618e24163..c3308ff23 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/LinearIndexLookup.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/LinearIndexLookup.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.iter;
 
@@ -21,10 +25,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.io.Serializable;
 
-/**
- * Represents a cache linear index lookup
- * @author Adam Gibson
- */
 public class LinearIndexLookup implements Serializable {
     private char ordering;
     private long[][] indexes;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/NdIndexIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/NdIndexIterator.java
index 133a50498..cd01f89fd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/NdIndexIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/iter/NdIndexIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.iter;
 
@@ -24,16 +28,6 @@ import java.util.HashMap;
 import java.util.Iterator;
 import java.util.Map;
 
-/**
- * Iterates and returns int arrays
- * over a particular shape.
- *
- * This iterator starts at zero and increments
- * the shape until each item in the "position"
- * hits the current shape
- *
- * @author Adam Gibson
- */
 public class NdIndexIterator implements Iterator {
     private int length = -1;
     private int i = 0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/AllocationsTracker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/AllocationsTracker.java
index 345572e0a..8429e6d61 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/AllocationsTracker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/AllocationsTracker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.memory.enums.AllocationKind;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * This class provides methods for tracking different memory allocations
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AllocationsTracker {
     private static final AllocationsTracker INSTANCE = new AllocationsTracker();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/BasicMemoryManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/BasicMemoryManager.java
index eab4ae239..f718a9907 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/BasicMemoryManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/BasicMemoryManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
@@ -31,9 +35,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BasicMemoryManager implements MemoryManager {
     protected AtomicInteger frequency = new AtomicInteger(0);
     protected AtomicLong freqCounter = new AtomicLong(0);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocatable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocatable.java
index 6269b1c03..80eadee70 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocatable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocatable.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
-/**
- * This interface describes resource trackable via unified deallocation system
- *
- * @author raver119@gmail.com
- */
 public interface Deallocatable {
     /**
      * This method returns unique ID for this instance
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocator.java
index 778ee8a6e..1436349c5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/Deallocator.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
-/**
- * This interface describes callback which will be executed from unified reference tracking system context
- *
- * @author raver119@gmail.com
- */
 public interface Deallocator {
     /**
      * This method does actual deallocation
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/DeviceAllocationsTracker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/DeviceAllocationsTracker.java
index 3e42d05e6..21a3f1d16 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/DeviceAllocationsTracker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/DeviceAllocationsTracker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
@@ -25,9 +29,6 @@ import java.util.HashMap;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DeviceAllocationsTracker {
     private Map bytesMap = new HashMap<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemcpyDirection.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemcpyDirection.java
index cc644562c..06d0352a7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemcpyDirection.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemcpyDirection.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryManager.java
index 9460d8734..bdf18ed35 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
@@ -23,10 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public interface MemoryManager {
 
     MemoryWorkspace getCurrentWorkspace();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspace.java
index 426e952f8..8fe4d8f0f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration;
 import org.nd4j.linalg.api.memory.enums.MemoryKind;
 import org.nd4j.linalg.api.memory.pointers.PagedPointer;
 
-/**
- * This interface describes reusable memory chunks abstraction
- *
- * @author raver119@gmail.com
- */
 public interface MemoryWorkspace extends AutoCloseable, Deallocatable {
     String DEFAULT_ID = "DefaultWorkspace";
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspaceManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspaceManager.java
index d46f18292..bade5db59 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspaceManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/MemoryWorkspaceManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.memory.enums.DebugMode;
 import java.util.List;
 
 
-/**
- * This interface describes backend-specific implementations of MemoryWorkspaceManager, basically Factory + Thread-based provider
- *
- * @author raver119@gmail.com
- */
 public interface MemoryWorkspaceManager {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/DummyWorkspace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/DummyWorkspace.java
index fe245105f..d72aa9616 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/DummyWorkspace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/DummyWorkspace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.abstracts;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.memory.enums.MemoryKind;
 import org.nd4j.linalg.api.memory.pointers.PagedPointer;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This MemoryWorkspace implementation is basically No-Op impl.
- *
- * Do not use it anywhere, unless you 100% sure you need it.
- *
- * @author raver119@gmail.com
- */
 public class DummyWorkspace implements MemoryWorkspace {
 
     protected MemoryWorkspace parentWorkspace;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/Nd4jWorkspace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/Nd4jWorkspace.java
index e133e171b..167d87775 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/Nd4jWorkspace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/abstracts/Nd4jWorkspace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.abstracts;
 
@@ -44,13 +48,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Basic implementation for
- * MemoryWorkspace interface,
- * further extended in corresponding backends
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract class Nd4jWorkspace implements MemoryWorkspace {
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/conf/WorkspaceConfiguration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/conf/WorkspaceConfiguration.java
index 6f116b6ef..e2d982c2a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/conf/WorkspaceConfiguration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/conf/WorkspaceConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.conf;
 
@@ -24,12 +28,6 @@ import org.nd4j.linalg.api.memory.enums.*;
 
 import java.io.Serializable;
 
-/**
- * This class is configuration bean for MemoryWorkspace.
- * It allows you to specify workspace parameters, and will define workspace behaviour.
- *
- * @author raver119@gmail.com
- */
 @Builder
 @Data
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatableReference.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatableReference.java
index fbd667f23..24d0fe424 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatableReference.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatableReference.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.deallocation;
 
@@ -23,10 +27,6 @@ import org.nd4j.linalg.api.memory.Deallocator;
 import java.lang.ref.ReferenceQueue;
 import java.lang.ref.WeakReference;
 
-/**
- * This method implements WeakReference for Deallocatable objects
- * @author raver119@gmail.com
- */
 @Data
 public class DeallocatableReference extends WeakReference {
     private String id;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatorService.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatorService.java
index ded5bc938..a53e539e9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatorService.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/deallocation/DeallocatorService.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.deallocation;
 
@@ -31,11 +35,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This class provides unified management for Deallocatable resources
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DeallocatorService {
     private Thread[] deallocatorThreads;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationKind.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationKind.java
index a0326f1b7..597e89c79 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationKind.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationKind.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * This enum describes different allocation kinds
- * @author raver119@gmail.com
- */
 public enum AllocationKind {
     /**
      * General allocations
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationPolicy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationPolicy.java
index 0495413fa..475dd9cdf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationPolicy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/AllocationPolicy.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum AllocationPolicy {
     /**
      * This policy means - we're allocating exact values we specify for WorkspaceConfiguration.initialSize, or learn during loops
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/DebugMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/DebugMode.java
index 35f85fc48..216818d3b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/DebugMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/DebugMode.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * This enum describes possible debug modes for Nd4j workspaces
- *
- * @author raver119@protonmail.com
- */
 public enum DebugMode {
     /**
      * Default mode, means that workspaces work in production mode
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LearningPolicy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LearningPolicy.java
index a7879c8a3..81babd298 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LearningPolicy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LearningPolicy.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum LearningPolicy {
     /**
      * This policy means - we learn during 1 cycle,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LocationPolicy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LocationPolicy.java
index 3fff25688..22ca9fe53 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LocationPolicy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/LocationPolicy.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * This enum describes where workspace memory is located
- *
- * @author raver119@gmail.com
- */
 public enum LocationPolicy {
     /**
      * Allocations will be in RAM
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MemoryKind.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MemoryKind.java
index 13b1520f9..8b588fffe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MemoryKind.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MemoryKind.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum MemoryKind {
     HOST, DEVICE,
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MirroringPolicy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MirroringPolicy.java
index 1bab55f9a..09c13f66f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MirroringPolicy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/MirroringPolicy.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum MirroringPolicy {
     FULL, HOST_ONLY,
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/ResetPolicy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/ResetPolicy.java
index 626c9326a..afdec2a27 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/ResetPolicy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/ResetPolicy.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum ResetPolicy {
     /**
      * This policy means - once end of MemoryWorkspace block reached its end - it'll be reset to the beginning.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/SpillPolicy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/SpillPolicy.java
index f286ada77..ea893b0be 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/SpillPolicy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/enums/SpillPolicy.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum SpillPolicy {
     /**
      * This policy means - use external allocation for spills.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/ImmortalFloatPointer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/ImmortalFloatPointer.java
index 5505737c5..d6d2a128c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/ImmortalFloatPointer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/ImmortalFloatPointer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.pointers;
 
@@ -20,9 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.bytedeco.javacpp.FloatPointer;
 import org.bytedeco.javacpp.Pointer;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ImmortalFloatPointer extends FloatPointer {
     private Pointer pointer;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PagedPointer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PagedPointer.java
index d210d3284..746d2391e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PagedPointer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PagedPointer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.pointers;
 
@@ -21,9 +25,6 @@ import lombok.Setter;
 import lombok.extern.slf4j.Slf4j;
 import org.bytedeco.javacpp.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class PagedPointer extends Pointer {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PointersPair.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PointersPair.java
index c86ea201a..94a5295f2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PointersPair.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/pointers/PointersPair.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.pointers;
 
@@ -20,9 +24,6 @@ import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.NoArgsConstructor;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/provider/BasicWorkspaceManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/provider/BasicWorkspaceManager.java
index 37085370e..e03ae02d8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/provider/BasicWorkspaceManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/provider/BasicWorkspaceManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.provider;
 
@@ -35,10 +39,6 @@ import java.util.Map;
 import java.util.concurrent.atomic.AtomicLong;
 
 
-/**
- * Workspace manager implementation. Please note, this class is supposed to be used via Nd4j.getWorkspaceManager(), to provide consistency between different threads within given JVM process
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract class BasicWorkspaceManager implements MemoryWorkspaceManager {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStash.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStash.java
index a635e85f5..ef1cc8099 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStash.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStash.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.stash;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BasicStash implements Stash {
     protected Map stash = new ConcurrentHashMap<>();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStashManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStashManager.java
index ecc0ae6da..e299adebb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStashManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/BasicStashManager.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.stash;
 
-/**
- * @author raver119@gmail.com
- */
 public class BasicStashManager implements StashManager {
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/Stash.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/Stash.java
index 45fd8232b..895d905fc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/Stash.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/Stash.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.stash;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This interface describe short-living storage, with pre-defined life time.
- *
- * @author raver119@gmail.com
- */
 public interface Stash {
 
     boolean checkIfExists(T key);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/StashManager.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/StashManager.java
index 2082e088d..5468be354 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/StashManager.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/memory/stash/StashManager.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.memory.stash;
 
-/**
- * This interface describes factory/holder for manipulating Stash objects
- *
- * @author raver119@gmail.com
- */
 public interface StashManager {
 
      boolean checkIfStashExists(T stashId);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArray.java
index 3e726c15a..c3594696d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
@@ -87,23 +91,6 @@ import java.util.concurrent.atomic.AtomicLong;
 import static org.nd4j.linalg.factory.Nd4j.*;
 
 
-/**
- * NDArray: (think numpy)
- * 
        
- * A few things of note.
- * 
        
- * An NDArray can have any number of dimensions.
- * 
        
- * An NDArray is accessed via strides.
- * 
        
- * Strides are how to index over
- * a contiguous block of data.
- * 
        
- * This block of data has 2 orders(as of right now):
- * fortran and c
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseNDArray implements INDArray, Iterable {
 
@@ -337,6 +324,40 @@ public abstract class BaseNDArray implements INDArray, Iterable {
         this(Nd4j.createBuffer(type, shape.length == 0 ? 1 : ArrayUtil.prodLong(shape), initialize, workspace), type, shape, stride, offset, ordering);
     }
 
+    public BaseNDArray(DataType type, long[] shape, long[] paddings, long[] paddingOffsets, char ordering, MemoryWorkspace workspace) {
+
+        //calculate strides with paddings
+        int rank = shape.length;
+        if(paddings == null || paddings.length != rank ) throw new IllegalArgumentException("The length of Padding should be equal to the length of Shape");
+        long [] paddedShape = new long[rank];
+        boolean empty = false; 
+        boolean zeroOffset = paddingOffsets == null || paddingOffsets.length == 0; 
+        boolean paddingOffsetsInvalid = paddingOffsets != null && paddingOffsets.length != rank ;
+        long ews = 1;
+        if(!paddingOffsetsInvalid){
+            for(int i=0; ipaddings[i]){
+                    paddingOffsetsInvalid = true;
+                    break;
+                }
+            }   
+        }
+        if(!zeroOffset && paddingOffsetsInvalid) throw new IllegalArgumentException("If PaddingOffsets is not empty or zero length then its length should match the length of Paddings and also its elements should not be greater");
+
+        long[] paddedStride = ordering == 'c' ? ArrayUtil.calcStrides(paddedShape,1): ArrayUtil.calcStridesFortran(paddedShape,1);
+        long paddedAllocSize = ordering == 'c' ? paddedShape[0] * paddedStride[0] : paddedShape[rank-1] * paddedStride[rank-1];
+
+        long offset = (empty || ews == 1 || zeroOffset) ? 0 :  ArrayUtil.calcOffset(paddedShape, paddingOffsets, paddedStride);
+        DataBuffer buffer = Nd4j.createBuffer(type, paddedAllocSize, false, workspace);
+        this.data = offset > 0 ? Nd4j.createBuffer(buffer, offset, paddedAllocSize - offset) : buffer ;
+        long extras  = ArrayOptionsHelper.setOptionBit(0, type);
+        if(empty) extras = ArrayOptionsHelper.setOptionBit(extras, ArrayOptionsHelper.ATYPE_EMPTY_BIT);
+        else if(ews!=1) extras = ArrayOptionsHelper.setOptionBit(extras, ArrayOptionsHelper.HAS_PADDED_BUFFER);
+        setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, paddedStride, ews, ordering, extras));
+    }
 
     /**
      * Create the ndarray with
@@ -3761,7 +3782,7 @@ public abstract class BaseNDArray implements INDArray, Iterable {
 
         long prod = ArrayUtil.prodLong(shape);
 
-        if (prod != this.length()){
+        if (prod != this.length()) {
             throw new ND4JIllegalStateException("New shape length doesn't match original length: [" + prod + "] vs [" + this.length() + "]. Original shape: "+Arrays.toString(this.shape())+" New Shape: "+Arrays.toString(newShape));
         }
 
@@ -4944,7 +4965,7 @@ public abstract class BaseNDArray implements INDArray, Iterable {
 
 
     @Override
-    public String toString(@NonNull NDArrayStrings options){
+    public String toString(@NonNull NDArrayStrings options) {
         if(wasClosed())
             return "";
         if (!isCompressed() && !preventUnpack)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArrayProxy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArrayProxy.java
index b805fb4dd..e73d18c3e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArrayProxy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArrayProxy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseShapeInfoProvider.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseShapeInfoProvider.java
index ea0802b70..98a8f95ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseShapeInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseShapeInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract class BaseShapeInfoProvider implements ShapeInfoProvider {
     protected AtomicLong bytes = new AtomicLong(0);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArray.java
index 08aa613fb..61b53e23d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArray.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
@@ -31,11 +35,6 @@ import java.nio.LongBuffer;
 import java.util.List;
 import org.nd4j.linalg.string.NDArrayStrings;
 
-/**
- * Interface for an ndarray
- *
- * @author Adam Gibson
- */
 public interface INDArray extends Serializable, AutoCloseable {
     /**
      * Returns the shape information debugging information
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArrayStatistics.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArrayStatistics.java
index fcd8d2b90..123382cb9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArrayStatistics.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArrayStatistics.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/JvmShapeInfo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/JvmShapeInfo.java
index 9a0bd06d8..b0f9f3a29 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/JvmShapeInfo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/JvmShapeInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/ShapeInfoProvider.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/ShapeInfoProvider.java
index 1919128c7..1f3768038 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/ShapeInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/ShapeInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ndarray;
 
@@ -20,9 +24,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 
-/**
- * @author raver119@gmail.com
- */
 public interface ShapeInfoProvider {
     /**
      * This method creates long shapeInformation buffer, based on shape being passed in
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastBoolOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastBoolOp.java
index 5d7a3de42..138c9d160 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastBoolOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastBoolOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastOp.java
index 7493543b0..ba8a5a77a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseBroadcastOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseIndexAccumulation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseIndexAccumulation.java
index 3459d2050..7ae3ade6c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseIndexAccumulation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseIndexAccumulation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.api.shape.Shape;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Index based reduction algo
- *
- * @author Adam Gibson
- */
 @Slf4j
 @Data
 public abstract class BaseIndexAccumulation extends BaseOp implements IndexAccumulation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOp.java
index 991cdc9cf..0fb2db284 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -41,12 +45,6 @@ import java.nio.Buffer;
 import java.util.Arrays;
 import java.util.Map;
 
-/**
- * Base op. An op involves iterating over 2 buffers (x,y)  up to n elements
- * and applying a transform or accumulating a result.
- *
- * @author Adam Gibson
- */
 @Data
 public abstract class BaseOp extends DifferentialFunction implements Op {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOpContext.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOpContext.java
index c7d71db04..8f818b37a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOpContext.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseOpContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.*;
 
-/**
- * Implementation of common methods for OpContext
- *
- * @author raver119@gmail.com
- */
 public abstract class BaseOpContext implements OpContext {
     protected Map fastpath_in = new HashMap<>();
     protected Map fastpath_out = new HashMap<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceBoolOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceBoolOp.java
index 5071d21f2..dfb4bd20a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceBoolOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceBoolOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceFloatOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceFloatOp.java
index ba57ca857..00179f6d3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceFloatOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceFloatOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceLongOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceLongOp.java
index 8b015e438..22df12b7d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceLongOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceLongOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceOp.java
index f1bafe0de..d566b5e7f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -35,13 +39,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Base class for accumulation, initiates the initial entry
- * with respect to the child class. Also contains baseline fields
- * for the over all field with accumulation.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseReduceOp extends BaseOp implements ReduceOp {
     @Setter @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceSameOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceSameOp.java
index 258dad019..b8c0cfe1e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceSameOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseReduceSameOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -122,7 +126,7 @@ public abstract class BaseReduceSameOp extends BaseReduceOp implements ReduceSam
         Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 2),
                 "Expected 1 or 2 input datatypes for %s, got %s", getClass(), dataTypes);
         Preconditions.checkState(dataTypes.size() == 1 || dataTypes.get(1).isIntType(), "When executing reductions" +
-                "with 2 inputs, second input (axis) must be an integer datatype for %s, got %s", getClass(), dataTypes);
+                " with 2 inputs, second input (axis) must be an integer datatype for %s, got %s", getClass(), dataTypes);
         return Collections.singletonList(dataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarBoolOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarBoolOp.java
index 538daf453..ffb786fd6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarBoolOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarBoolOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Base scalar boolean operation
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseScalarBoolOp extends BaseOp implements ScalarOp {
     public BaseScalarBoolOp() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarOp.java
index f69576f77..587083f2a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseScalarOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -31,13 +35,9 @@ import org.nd4j.linalg.api.shape.Shape;
 import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.ArrayList;
+import java.util.Collections;
 import java.util.List;
 
-/**
- * Base scalar operation
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseScalarOp extends BaseOp implements ScalarOp {
 
@@ -196,8 +196,8 @@ public abstract class BaseScalarOp extends BaseOp implements ScalarOp {
     @Override
     public List calculateOutputDataTypes(List dataTypes){
         //All scalar ops: output type is same as input type
-        Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype %s, got input %s", getClass(), dataTypes);
-        return dataTypes;
+        Preconditions.checkState(dataTypes != null && dataTypes.size() >= 1, "Expected 1 or more input datatype %s, got input %s", getClass(), dataTypes);
+        return Collections.singletonList(dataTypes.get(0));
     }
 
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformAnyOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformAnyOp.java
index 28b07e66c..339b2714b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformAnyOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformAnyOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -108,7 +112,7 @@ public abstract class BaseTransformAnyOp extends BaseTransformOp implements Tran
     @Override
     public List calculateOutputDataTypes(List dataTypes){
         //Transform any: for the purposes of samediff datatype calculation, treat as same in/out
-        Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got input %s", getClass(), dataTypes);
+        Preconditions.checkState(dataTypes != null && dataTypes.size() >= 1, "Expected at least 1 input datatype for %s, got input %s", getClass(), dataTypes);
         return dataTypes;
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformBoolOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformBoolOp.java
index 76e3d9ef9..030e010c2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformBoolOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformBoolOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformFloatOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformFloatOp.java
index e34bcfff9..5e495ec7d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformFloatOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformFloatOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformOp.java
index bf6bbcd45..f6818083e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.util.LinAlgExceptions;
 
 import java.util.List;
 
-/**
- * A base op for basic getters and setters
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseTransformOp extends BaseOp implements TransformOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformSameOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformSameOp.java
index d47ba8677..ef23a963d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformSameOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformSameOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -23,6 +27,7 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 
+import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
@@ -127,8 +132,17 @@ public abstract class BaseTransformSameOp extends BaseTransformOp implements Tra
 
     @Override
     public List calculateOutputDataTypes(List dataTypes){
-        //All same tranform ops: always same output type as input type
-        Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got input %s", getClass(), dataTypes);
-        return dataTypes;
+        //All same transform ops: always same output type as input type
+        Preconditions.checkState(dataTypes != null, "Expected exactly 1 or more input datatype for %s, got input %s", getClass(), dataTypes);
+
+        org.nd4j.linalg.api.buffer.DataType check = null;
+        for(org.nd4j.linalg.api.buffer.DataType dataType : dataTypes) {
+            if(check != null) {
+                Preconditions.checkState(dataType == check,"Data types must all be the same!");
+            } else {
+                check = dataType;
+            }
+        }
+        return Arrays.asList(dataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformStrictOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformStrictOp.java
index efbcda7a6..5cc99e667 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformStrictOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BaseTransformStrictOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -119,7 +123,7 @@ public abstract class BaseTransformStrictOp extends BaseTransformOp implements T
 
     @Override
     public List calculateOutputDataTypes(List dataTypes){
-        //All strict tranform ops: FP in, FP out
+        //All strict transform ops: FP in, FP out
         Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got input %s", getClass(), dataTypes);
         Preconditions.checkState(dataTypes.get(0).isFPType(), "Only floating point types are supported for strict tranform ops - got %s", dataTypes.get(0));
         return dataTypes;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BroadcastOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BroadcastOp.java
index 56b19737f..0be0c0f90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BroadcastOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/BroadcastOp.java
@@ -1,34 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A broad cast op is one where a scalar
- * or less rank array
- * is broadcast to fill
- * a bigg er array.
- *
- * A typical broad cast operation would be adding a row to
- * each row in a matrix.
- *
- * @author Adam Gibson
- */
 public interface BroadcastOp extends Op {
 
     /** Dimension to do the vector op along. Along dimension 1 for row vector ops,  along 0 for column vector ops */
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOp.java
index cdf8e3b36..07eb6bf14 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -22,13 +26,6 @@ import org.nd4j.linalg.api.shape.LongShapeDescriptor;
 
 import java.util.List;
 
-/**
- * This interface describe "custom operations.
- * Originally these operations are designed for SameDiff, and execution within graph,
- * but we also want to provide option to use them with regular ND4J methods via NativeOpExecutioner
- *
- * @author raver119@gmail.com
- */
 public interface CustomOp {
     /**
      * This method returns op opName as string
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOpDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOpDescriptor.java
index 9eb784717..42f0f1efa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOpDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/CustomOpDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -20,11 +24,6 @@ import lombok.AllArgsConstructor;
 import lombok.Builder;
 import lombok.Getter;
 
-/**
- * This class is simple POJO that contains basic information about CustomOp
- *
- * @author raver119@gmail.com
- */
 @AllArgsConstructor
 @Builder
 public class CustomOpDescriptor {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/DynamicCustomOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/DynamicCustomOp.java
index 91297e024..dd82ebc2a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/DynamicCustomOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/DynamicCustomOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -39,11 +43,6 @@ import org.tensorflow.framework.NodeDef;
 import java.lang.reflect.Array;
 import java.util.*;
 
-/**
- * Basic implementation for CustomOp
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DynamicCustomOp extends DifferentialFunction implements CustomOp {
 
@@ -566,7 +565,7 @@ public class DynamicCustomOp extends DifferentialFunction implements CustomOp {
             } else {
                 String[] inputNames = sameDiff.getInputsForOp(this);
                 String[] arrayShapes = new String[inputNames.length];
-                for( int i=0; i" : Arrays.toString(arr.shape()));
                 }
@@ -846,7 +845,7 @@ public class DynamicCustomOp extends DifferentialFunction implements CustomOp {
          * multiple times and it will add arguments to a list.
          * PLEASE NOTE: this method does NOT validate values.
          *
-         * @param iargs
+         * @param bargs
          * @return
          */
         public DynamicCustomOpsBuilder addBooleanArguments(boolean... bargs) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ExecutionMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ExecutionMode.java
index 5d33e744c..9ca9a7b56 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ExecutionMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ExecutionMode.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * This enum describes execution mode for current op/graph. For some operations different execution modes might yield performance/implementation differences
- *
- * @author raver119@gmail.com
- */
 public enum ExecutionMode {
     UNDEFINED,
     TRAINING,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/GridOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/GridOp.java
index 3fdf385cc..9569e273a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/GridOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/GridOp.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.ops.grid.GridDescriptor;
 
-/**
- * MetaOp is special op, that contains multiple ops
- *
- * @author raver119@gmail.com
- */
 public interface GridOp extends Op {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/IndexAccumulation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/IndexAccumulation.java
index b3d418ab6..f6db67515 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/IndexAccumulation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/IndexAccumulation.java
@@ -1,45 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**An index accumulation is an operation that returns an index within
- * a NDArray.
        
- * Examples of IndexAccumulation operations include finding the index
- * of the minimim value, index of the maximum value, index of the first
- * element equal to value y, index of the maximum pair-wise difference
- * between two NDArrays X and Y etc.
        
- *
- * Index accumulation is similar to {@link ReduceOp} in that both are
- * accumulation/reduction operations, however index accumulation returns
- * an integer corresponding to an index, rather than a real (or complex)
- * value.
        
- *
- * Index accumulation operations generally have 3 inputs:
        
- * x -> the origin ndarray
        
- * y -> the pairwise ndarray (frequently null/not applicable)
        
- * n -> the number of times to accumulate
        
- *
- * Note that IndexAccumulation op implementations should be stateless
- * (other than the final result and x/y/n arguments) and hence threadsafe,
- * such that they may be parallelized using the update, combineSubResults
- * and set/getFinalResults methods.
- */
 public interface IndexAccumulation extends Op {
 
     boolean validateDataTypes();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/LossFunction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/LossFunction.java
index c1bb35121..22464013e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/LossFunction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/LossFunction.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A loss function for computing
- * the delta between two arrays
- *
- * @author Adam Gibson
- */
 public interface LossFunction extends ReduceOp {
     /**
      * The true
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/MetaOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/MetaOp.java
index 552b4d576..318783f54 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/MetaOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/MetaOp.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.ops.grid.GridPointers;
 import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 
-/**
- * MetaOp is special op, that contains multiple ops
- *
- * @author raver119@gmail.com
- */
 public interface MetaOp extends GridOp {
     /**
      *
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/NoOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/NoOp.java
index 692571df9..4f4836ea5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/NoOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/NoOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -87,7 +91,7 @@ public class NoOp extends DynamicCustomOp {
 
 
     @Override
-    public List calculateOutputShape(){
+    public List calculateOutputShape() {
         if(inputArguments != null && !inputArguments.isEmpty()){
             return Collections.singletonList(inputArguments.get(0).shapeDescriptor());
         }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/Op.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/Op.java
index ca0a816c0..aa34b8c98 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/Op.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/Op.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -22,24 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.nio.Buffer;
 
-/**
- * An op is defined as follows:
- * opName: opName of the operation
- * x: the origin ndarray
- * y: the ndarray to parse in parallel
- * z: the resulting buffer
- * n: the number of elements to iterate over
- * where x is the origin ndarray,
- * y, is a pairwise op
- * over n elements in the ndarray
- * stored in result z
- * 
        
- * This is followed from the standard template for a BLAS operation
- * such that given a linear buffer, a function defines 3 buffers (x,y,z)
- * and the associated strides and offsets (handled by the ndarrays in this case)
- *
- * @author Adam Gibson
- */
 public interface Op {
     enum Type {
         SCALAR,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/OpContext.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/OpContext.java
index 49bc315c7..d258e4b3a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/OpContext.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/OpContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
@@ -23,11 +27,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.List;
 
-/**
- * This interface describes OpContext, abstraction used to setup op for execution.
- *
- * @author raver119@gmail.com
- */
 public interface OpContext extends AutoCloseable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/RandomOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/RandomOp.java
index dfebf6aea..df4f6d747 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/RandomOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/RandomOp.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * @author raver119@gmail.com
- */
 public interface RandomOp extends Op {
 
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceBoolOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceBoolOp.java
index 021563c4c..7c0202ab6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceBoolOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceBoolOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * ReduceLong take any type in, and return BOOL type
- * @author raver119@gmail.com
- */
 public interface ReduceBoolOp extends ReduceOp {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceFloatOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceFloatOp.java
index 6c6a67dde..595abf28a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceFloatOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceFloatOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * ReduceLong take any type in, and return FLOATING-POINT type
- * @author raver119@gmail.com
- */
 public interface ReduceFloatOp extends ReduceOp {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceLongOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceLongOp.java
index 317c36663..e816ad86b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceLongOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceLongOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * ReduceLong take any type in, and return LONG type
- * @author raver119@gmail.com
- */
 public interface ReduceLongOp extends ReduceOp {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceOp.java
index 23d81c5b4..ff54cc064 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceOp.java
@@ -1,52 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * An accumulation is an op that given:
        
- * x -> the origin ndarray
        
- * y -> the pairwise ndarray
        
- * n -> the number of times to accumulate
        
- * 
        
- * 
        
- * Of note here in the extra arguments.
- * 
        
- * An accumulation (or reduction in some terminology)
- * has a concept of a starting value.
- * 
        
- * The starting value is the initialization of the solution
- * to the operation.
- * 
        
- * An accumulation should always have the extraArgs()
- * contain the zero value as the first value.
- * 
        
- * This allows the architecture to generalize to different backends
- * and gives the implementer of a backend a way of hooking in to
- * passing parameters to different engines.
        
- *
- * Note that ReduceOp op implementations should be stateless
- * (other than the final result and x/y/z/n arguments) and hence threadsafe,
- * such that they may be parallelized using the update, combineSubResults and
- * set/getFinalResults methods.
- * @author Adam Gibson
- */
 public interface ReduceOp extends Op {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceSameOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceSameOp.java
index fc39cbe06..dd07a511c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceSameOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ReduceSameOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * ReduceLong take any type in, and return same type
- * @author raver119@gmail.com
- */
 public interface ReduceSameOp extends ReduceOp {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ScalarOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ScalarOp.java
index 4baa5d02e..827a4f16a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ScalarOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/ScalarOp.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Applies a scalar
- * along a bigger input array.
- *
- * @author Adam Gibson
- */
 public interface ScalarOp extends Op {
 
     /**The normal scalar
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformBoolOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformBoolOp.java
index 1450d0e6b..4a1f3267a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformBoolOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformBoolOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * Strict transforms take any type in, and return BOOL type
- * @author raver119@gmail.com
- */
 public interface TransformBoolOp extends TransformOp {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformFloatOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformFloatOp.java
index dd50f5ea1..2bdac71d0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformFloatOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformFloatOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * Strict transforms take any type in, and return FLOATING-POINT type
- * @author raver119@gmail.com
- */
 public interface TransformFloatOp extends TransformOp  {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformOp.java
index f50116d32..09618a158 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformSameOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformSameOp.java
index 5bb00dacd..66eb81bba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformSameOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformSameOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * Strict transforms take any type in, and return same type
- * @author raver119@gmail.com
- */
 public interface TransformSameOp extends TransformOp  {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformStrictOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformStrictOp.java
index bc0f91ea6..6857c3479 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformStrictOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/TransformStrictOp.java
@@ -1,24 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops;
 
-/**
- * Strict transforms take floating-point type in, and return same type
- * @author raver119@gmail.com
- */
 public interface TransformStrictOp extends TransformOp  {
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Aggregate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Aggregate.java
index aba7dc99c..aa2c73816 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Aggregate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Aggregate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.aggregates;
 
@@ -21,12 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.List;
 
-/**
- * Aggregates are ops that work with custom operands,
- * that are not limited to traditional X, Y and Z constraints.
- *
- * @author raver119@gmail.com
- */
 public interface Aggregate {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/BaseAggregate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/BaseAggregate.java
index e1f99667a..d5aaedd5b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/BaseAggregate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/BaseAggregate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.aggregates;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class   BaseAggregate implements Aggregate {
     protected List arguments = new ArrayList<>();
     protected List shapes = new ArrayList<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Batch.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Batch.java
index a962846c7..7b2d02935 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Batch.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/Batch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.aggregates;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Wrapper for "batch of aggregates"
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class Batch {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateAxpy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateAxpy.java
index dcb25b8f2..9f7d5439f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateAxpy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateAxpy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.aggregates.impl;
 
@@ -21,12 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.aggregates.BaseAggregate;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This op describes Axpy call
- * that'll happen soon(TM) in batch mode
- *
- * @author raver119
- */
 @Deprecated
 public class AggregateAxpy extends BaseAggregate {
     private int vectorLength;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateGEMM.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateGEMM.java
index f2e6b6d48..55ee0405f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateGEMM.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/aggregates/impl/AggregateGEMM.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.aggregates.impl;
 
@@ -20,12 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.aggregates.BaseAggregate;
 
-/**
- *
- * PLEASE NOTE: This op is available for CPU only, and should NOT be ever called manually, unless you know why you're using it
- *
- * @author raver119@gmail.com
- */
 public class AggregateGEMM extends BaseAggregate {
 
     public AggregateGEMM() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatSparseToDense.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatSparseToDense.java
index 41ebd659d..8e8876d77 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatSparseToDense.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatSparseToDense.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.compat;
 
@@ -20,11 +24,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * This is a wrapper for SparseToDense op that impelements corresponding TF operation
- *
- * @author raver119@gmail.com
- */
 public class CompatSparseToDense extends DynamicCustomOp {
 
     public CompatSparseToDense() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatStringSplit.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatStringSplit.java
index 2119fd5fd..ffc94c880 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatStringSplit.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compat/CompatStringSplit.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.compat;
 
@@ -20,11 +24,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * This is a wrapper for StringSplit op that impelements corresponding TF operation
- *
- * @author raver119@gmail.com
- */
 public class CompatStringSplit extends DynamicCustomOp {
 
     public CompatStringSplit() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeBitmap.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeBitmap.java
index b41a97dc9..8e50cc53f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeBitmap.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeBitmap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.compression;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Bitmap decoding op wrapper. Used in gradients sharing.
- * @author raver119@gmail.com
- */
 public class DecodeBitmap extends DynamicCustomOp {
 
     public DecodeBitmap() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeThreshold.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeThreshold.java
index c4eed6f24..67cb942b4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeThreshold.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/DecodeThreshold.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.compression;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Sparse threshold decoding op wrapper. Used in gradients sharing.
- * @author raver119@gmail.com
- */
 public class DecodeThreshold extends DynamicCustomOp {
 
     public DecodeThreshold() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeBitmap.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeBitmap.java
index ef4d62634..c4325ed1a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeBitmap.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeBitmap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.compression;
 
@@ -25,10 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Bitmap encoding op wrapper. Used in gradients sharing.
- * @author raver119@gmail.com
- */
 public class EncodeBitmap extends DynamicCustomOp {
     protected float threshold = 1e-3f;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeThreshold.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeThreshold.java
index d1ac291e1..e4b4a2cd2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeThreshold.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/compression/EncodeThreshold.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.compression;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Sparse threshold encoding op wrapper. Used in gradients sharing.
- * @author raver119@gmail.com
- */
 public class EncodeThreshold extends DynamicCustomOp {
     protected float threshold = 1e-3f;
     protected int boundary = Integer.MAX_VALUE;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustContrast.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustContrast.java
index 1dfeca5dc..89bb8e9ae 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustContrast.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustContrast.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustHue.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustHue.java
index 5e354d446..1c3395f8b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustHue.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustHue.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustSaturation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustSaturation.java
index 19065055d..ac5c6c8ac 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustSaturation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/AdjustSaturation.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesEdgeForces.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesEdgeForces.java
index b0e11bc45..d9217ac72 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesEdgeForces.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesEdgeForces.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutGains.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutGains.java
index ff7396659..c53f48205 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutGains.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutGains.java
@@ -1,13 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * This op calculates gains - data used internally by Barnes-Hut-TSNE algorithm.
- *
- * @author alexander.stoyakin@gmail.com
- */
 public class BarnesHutGains extends DynamicCustomOp {
 
     public BarnesHutGains(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutSymmetrize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutSymmetrize.java
index 944dd39d6..7d007f456 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutSymmetrize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BarnesHutSymmetrize.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.linalg.api.buffer.DataType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BetaInc.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BetaInc.java
index 9365eac5c..6b013cf47 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BetaInc.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BetaInc.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BitCast.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BitCast.java
index aeb3e9f44..008746e5f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BitCast.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/BitCast.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.val;
@@ -87,6 +91,11 @@ public class BitCast extends DynamicCustomOp {
     public List calculateOutputDataTypes(List inputDataTypes){
         int n = args().length;
         Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
+        if(dtype == null) {
+            if(!iArguments.isEmpty()) {
+                dtype = DataType.fromInt(iArguments.get(0).intValue());
+            }
+        }
         return Collections.singletonList(dtype);
     }
 }
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/CompareAndBitpack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/CompareAndBitpack.java
index d30c0fe80..dba7505c5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/CompareAndBitpack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/CompareAndBitpack.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.autodiff.samediff.SDVariable;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Digamma.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Digamma.java
index fed26470f..f8d65a4be 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Digamma.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Digamma.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DivideNoNan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DivideNoNan.java
index c6bb32abf..52e4d0db2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DivideNoNan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DivideNoNan.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.autodiff.samediff.SDVariable;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DrawBoundingBoxes.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DrawBoundingBoxes.java
index 782d06b67..04413399d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DrawBoundingBoxes.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/DrawBoundingBoxes.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.autodiff.samediff.SDVariable;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FakeQuantWithMinMaxVarsPerChannel.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FakeQuantWithMinMaxVarsPerChannel.java
index c53c09476..93a60deff 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FakeQuantWithMinMaxVarsPerChannel.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FakeQuantWithMinMaxVarsPerChannel.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.autodiff.samediff.SDVariable;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Flatten.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Flatten.java
index 540d470b7..7c1fa9526 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Flatten.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Flatten.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.custom;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * This op takes arbitrary number of arrays as input, and returns single "flattened" vector
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 public class Flatten extends DynamicCustomOp {
@@ -66,7 +65,7 @@ public class Flatten extends DynamicCustomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List inputDataTypes){
+    public List calculateOutputDataTypes(List inputDataTypes) {
         int n = args().length;
         Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
         return Arrays.asList(inputDataTypes.get(0));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FusedBatchNorm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FusedBatchNorm.java
index 06bae2835..751f37ede 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FusedBatchNorm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/FusedBatchNorm.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
@@ -83,9 +87,12 @@ public class FusedBatchNorm extends DynamicCustomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List inputDataTypes){
+    public List calculateOutputDataTypes(List inputDataTypes) {
         int n = args().length;
         Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
+        if(!dArguments.isEmpty()) {
+            return Arrays.asList(dArguments.get(0),dArguments.get(0),dArguments.get(0));
+        }
         return Arrays.asList(outputDataType == null ? DataType.FLOAT : outputDataType,
                 outputDataType == null ? DataType.FLOAT : outputDataType,
                 outputDataType == null ? DataType.FLOAT : outputDataType);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/HsvToRgb.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/HsvToRgb.java
index 48078d862..ffa8e7936 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/HsvToRgb.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/HsvToRgb.java
@@ -1,19 +1,23 @@
 
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igamma.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igamma.java
index e22cd231f..c6abe55be 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igamma.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igamma.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igammac.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igammac.java
index 9d31d1c82..8dde0bf74 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igammac.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Igammac.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/KnnMinDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/KnnMinDistance.java
index 16656766f..f5d1abb4d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/KnnMinDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/KnnMinDistance.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lgamma.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lgamma.java
index 06b826cbc..3c83e57b8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lgamma.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lgamma.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/LinearSolve.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/LinearSolve.java
index 0a3e397fd..fe4b9b214 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/LinearSolve.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/LinearSolve.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Logdet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Logdet.java
index e1c558ef1..8a4664f83 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Logdet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Logdet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lstsq.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lstsq.java
index 6c437518c..bda4f863a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lstsq.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lstsq.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lu.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lu.java
index 4e607a214..de7c3897a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lu.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Lu.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/MatrixBandPart.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/MatrixBandPart.java
index 804c07699..6a0de0d70 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/MatrixBandPart.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/MatrixBandPart.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Polygamma.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Polygamma.java
index 647c82bcf..7920cd803 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Polygamma.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Polygamma.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RandomCrop.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RandomCrop.java
index f37f79f97..fbeb8e4f1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RandomCrop.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RandomCrop.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToGrayscale.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToGrayscale.java
index f0e8c3022..a9dc6b7ee 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToGrayscale.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToGrayscale.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToHsv.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToHsv.java
index 7baf0a788..f9507c069 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToHsv.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToHsv.java
@@ -1,19 +1,23 @@
 
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYiq.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYiq.java
index 3a2ca46cf..de113a970 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYiq.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYiq.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYuv.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYuv.java
index 679e1d3e5..69529d352 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYuv.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/RgbToYuv.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Roll.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Roll.java
index 9a7c04c87..33fe547f0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Roll.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Roll.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
@@ -30,10 +34,10 @@ public class Roll extends DynamicCustomOp {
 
     public Roll() {}
 
-    public Roll(@NonNull INDArray input, @NonNull INDArray axes, @NonNull INDArray shifts) {
+    public Roll(@NonNull INDArray input, @NonNull INDArray shifts, @NonNull INDArray axes) {
         Preconditions.checkArgument(axes.rank() == shifts.rank(), "Roll: shifts and axes should be the same rank");
         Preconditions.checkArgument(axes.length() == shifts.length(), "Roll: shifts and axes should be the same length");
-        addInputArgument(input, axes, shifts);
+        addInputArgument(input, shifts, axes);
     }
 
     public Roll(@NonNull INDArray input, int shift) {
@@ -45,8 +49,8 @@ public class Roll extends DynamicCustomOp {
         super("", sameDiff, new SDVariable[]{input,shift});
     }
 
-    public Roll(@NonNull SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable axes, @NonNull SDVariable shift) {
-        super("", sameDiff, new SDVariable[]{input,axes,shift});
+    public Roll(@NonNull SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable shift, @NonNull SDVariable axes) {
+        super("", sameDiff, new SDVariable[]{input,shift,axes});
     }
 
     public Roll(@NonNull SameDiff sameDiff, @NonNull SDVariable input, int shift) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ScatterUpdate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ScatterUpdate.java
index 50c5db75e..170741c4e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ScatterUpdate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ScatterUpdate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.custom;
 
@@ -31,14 +35,14 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.ArrayList;
 import java.util.List;
 
-public class ScatterUpdate implements CustomOp {
+public class ScatterUpdate extends DynamicCustomOp {
     protected CustomOp op;
 
     // update operation: 0 - add; 1 - sub; 2 - mul; 3 - div; 4 - rsub; 5 - rdiv; 6 - assign
     public enum UpdateOp {
         ADD,
         SUBTRACT,
-        MILTIPLY,
+        MULTIPLY,
         DIVIDE,
         RSUBTRACT,
         RDIVIDE,
@@ -78,6 +82,12 @@ public class ScatterUpdate implements CustomOp {
                 .build();
     }
 
+    @Override
+    public List calculateOutputDataTypes(List dataTypes) {
+        DynamicCustomOp dynamicCustomOp = (DynamicCustomOp)  op;
+        return dynamicCustomOp.calculateOutputDataTypes(dataTypes);
+    }
+
     /**
      * This method returns op opName as string
      *
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/SpTreeCell.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/SpTreeCell.java
index cbbf97d1d..97cc06ff0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/SpTreeCell.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/SpTreeCell.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.custom;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ToggleBits.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ToggleBits.java
index 4aa33dc0d..6c0e88678 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ToggleBits.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/ToggleBits.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Tri.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Tri.java
index 865815e6b..f5cfe5e31 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Tri.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Tri.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriangularSolve.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriangularSolve.java
index 641425d61..a321d402f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriangularSolve.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriangularSolve.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Triu.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Triu.java
index 3225a197f..0885eb378 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Triu.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/Triu.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriuBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriuBp.java
index 1664512b5..7cebcfbb1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriuBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/TriuBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YiqToRgb.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YiqToRgb.java
index 3f647dfbe..c6bb96481 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YiqToRgb.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YiqToRgb.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YuvToRgb.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YuvToRgb.java
index 1776a7b85..485d81def 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YuvToRgb.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/custom/YuvToRgb.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/DefaultOpExecutioner.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/DefaultOpExecutioner.java
index f4be7cc92..c0981548c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/DefaultOpExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/DefaultOpExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.executioner;
 
@@ -51,13 +55,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.*;
 
-/**
- * Basic op executioner. Knows how to iterate over
- * the buffers of each
- * respective ndarray and apply transformations
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class DefaultOpExecutioner implements OpExecutioner {
 
@@ -943,6 +940,11 @@ public abstract class DefaultOpExecutioner implements OpExecutioner {
         throw new UnsupportedOperationException();
     }
 
+    @Override
+    public DataBuffer createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, long extras) {
+        throw new UnsupportedOperationException();
+    }
+
     @Override
     public TadPack tadShapeInfoAndOffsets(INDArray array, int[] dimension) {
         throw new UnsupportedOperationException();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/GridExecutioner.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/GridExecutioner.java
index b69e41572..bf4911931 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/GridExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/GridExecutioner.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.executioner;
 
 import org.nd4j.linalg.api.ops.aggregates.Aggregate;
 
-/**
- * @author raver119@gmail.com
- */
 public interface GridExecutioner extends OpExecutioner {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutioner.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutioner.java
index fcf8bfd3f..4cd7068dc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.executioner;
 
@@ -37,12 +41,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.Properties;
 
-/**
- * An operation executioner handles storage specific details of
- * executing an operation
- *
- * @author Adam Gibson
- */
 public interface OpExecutioner {
 
     // in case of adding new executioner - list it here
@@ -455,6 +453,8 @@ public interface OpExecutioner {
      */
     DataBuffer createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, boolean empty);
 
+    DataBuffer createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, long extra);
+
     /**
      * This method returns host/device tad buffers
      */
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutionerUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutionerUtil.java
index 83421e247..2bc1c818e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutionerUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpExecutionerUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.executioner;
 
@@ -31,9 +35,6 @@ import org.nd4j.linalg.profiler.OpProfiler;
 
 import java.util.List;
 
-/**Utility functions for the DefaultOpExecutioner
- * @author Alex Black
- */
 @Slf4j
 public class OpExecutionerUtil {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpStatus.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpStatus.java
index ad9b94757..15abcb784 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpStatus.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/executioner/OpStatus.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.executioner;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridDescriptor.java
index 7c04a0cea..cd6ce7e35 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.grid;
 
@@ -23,9 +27,6 @@ import lombok.NoArgsConstructor;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridPointers.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridPointers.java
index fdc0cbb32..8d71f7d27 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridPointers.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/GridPointers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.grid;
 
@@ -25,10 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.BaseOp;
 import org.nd4j.linalg.api.ops.Op;
 
-/**
- * POJO describing OP
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/OpDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/OpDescriptor.java
index f312b4b2b..8b56d6e42 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/OpDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/grid/OpDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.grid;
 
@@ -21,9 +25,6 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 import org.nd4j.linalg.api.ops.Op;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAdd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAdd.java
index 3cf533518..21325df90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAdd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAdd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAddGrad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAddGrad.java
index bf9b05ae9..49182a33f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAddGrad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BiasAddGrad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMax.java
index c1fceccb6..51ac063ec 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseBroadcastOp;
 
 import java.util.List;
 
-/**
- * Broadcast Abs Max comparison op
- *
- * @author raver119@gmail.com
- */
 public class BroadcastAMax extends BaseBroadcastOp {
     public BroadcastAMax(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension) {
         super(sameDiff, i_v1, i_v2, dimension);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMin.java
index c3ba1fb45..b444c69b4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseBroadcastOp;
 
 import java.util.List;
 
-/**
- * Broadcast Abs Min comparison op
- *
- * @author raver119@gmail.com
- */
 public class BroadcastAMin extends BaseBroadcastOp {
     public BroadcastAMin(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension) {
         super(sameDiff, i_v1, i_v2, dimension);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAddOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAddOp.java
index 97d5689f5..9cba66f02 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAddOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastAddOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastCopyOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastCopyOp.java
index 00700b3c6..fd78b3705 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastCopyOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastCopyOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastDivOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastDivOp.java
index 68a1a7ab6..8f33d6352 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastDivOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastDivOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastGradientArgs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastGradientArgs.java
index 516a2d754..fcc42bf4a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastGradientArgs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastGradientArgs.java
@@ -1,26 +1,32 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
+import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.BaseBroadcastOp;
 
+import java.util.Collections;
 import java.util.List;
 
 public class BroadcastGradientArgs extends BaseBroadcastOp {
@@ -55,6 +61,11 @@ public class BroadcastGradientArgs extends BaseBroadcastOp {
     }
 
 
+    @Override
+    public List calculateOutputDataTypes(List dataTypes){
+        //Always int datatype out (a shape)
+        return Collections.singletonList(DataType.INT);
+    }
 
     @Override
     public List doDiff(List f1) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMax.java
index 398c39ca0..b870d6fb4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseBroadcastOp;
 
 import java.util.List;
 
-/**
- * Broadcast Max comparison op
- *
- * @author raver119@gmail.com
- */
 public class BroadcastMax extends BaseBroadcastOp {
 
     public BroadcastMax() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMin.java
index 1d242da34..49d5160cd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseBroadcastOp;
 
 import java.util.List;
 
-/**
- * Broadcast Min comparison op
- *
- * @author raver119@gmail.com
- */
 public class BroadcastMin extends BaseBroadcastOp {
 
     public BroadcastMin() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMulOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMulOp.java
index 406b3f6f2..1291ba428 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMulOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastMulOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRDivOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRDivOp.java
index 66cb722af..561de710f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRDivOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRDivOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ops.BaseBroadcastOp;
 
 import java.util.List;
 
-/**
- * Broadcast reverse divide
- * @author Adam Gibson
- */
 public class BroadcastRDivOp extends BaseBroadcastOp {
 
     public BroadcastRDivOp() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRSubOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRSubOp.java
index c7b1f0073..bee2d4381 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRSubOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastRSubOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastSubOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastSubOp.java
index f4e93ea22..1eb35adfe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastSubOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastSubOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastTo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastTo.java
index 44429745c..011f8bf6d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastTo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/BroadcastTo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast;
 
@@ -34,12 +38,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * BroadcastTo op: given 2 input arrays, content X and shape Y, broadcast X to the shape specified by the content of Y.
- * Y should be a 1d vector
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class BroadcastTo extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastEqualTo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastEqualTo.java
index 553f70b24..d0b5149dc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastEqualTo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastEqualTo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast.bool;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThan.java
index 2308d3071..edabc0254 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast.bool;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThanOrEqual.java
index f9b872251..42bc8b944 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastGreaterThanOrEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast.bool;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThan.java
index 4003fe5a4..23c09413f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast.bool;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThanOrEqual.java
index 9697c8bb6..dfa830801 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastLessThanOrEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast.bool;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastNotEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastNotEqual.java
index 6bb27ec47..63b8aafda 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastNotEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/broadcast/bool/BroadcastNotEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.broadcast.bool;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Select.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Select.java
index 4da11727c..87cdf5fa3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Select.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Select.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Where.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Where.java
index 10d638178..b942ea7e2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Where.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/Where.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/WhereNumpy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/WhereNumpy.java
index c305eb76d..0c48e59bd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/WhereNumpy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/WhereNumpy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/BaseCompatOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/BaseCompatOp.java
index c1aff757d..b6664aeab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/BaseCompatOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/BaseCompatOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Enter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Enter.java
index fce142111..2b24f6944 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Enter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Enter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
@@ -41,13 +45,13 @@ public class Enter extends BaseCompatOp {
         super(sameDiff, inputs);
     }
 
-    public Enter(SameDiff sameDiff, String frameName, SDVariable input){
+    public Enter(SameDiff sameDiff, String frameName, SDVariable input ){
         super(sameDiff, new SDVariable[]{input});
         this.frameName = frameName;
         isConstant = input.isConstant();
     }
 
-    public Enter(SameDiff sameDiff, String frameName, SDVariable input, boolean isConstant){
+    public Enter(SameDiff sameDiff, String frameName, SDVariable input, boolean isConstant) {
         super(sameDiff, new SDVariable[]{input});
         this.frameName = frameName;
         this.isConstant = isConstant;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Exit.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Exit.java
index 7fdd92962..164ff1ce0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Exit.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Exit.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/LoopCond.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/LoopCond.java
index e408912a3..9a0a69296 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/LoopCond.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/LoopCond.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Merge.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Merge.java
index 1e6ec02d9..00e6c9e4d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Merge.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Merge.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
@@ -33,7 +37,7 @@ import java.util.Map;
 
 public class Merge extends BaseCompatOp {
 
-    public Merge(SameDiff sd, SDVariable[] inputs){
+    public Merge(SameDiff sd, SDVariable ... inputs){
         super(sd, inputs);
     }
 
@@ -41,9 +45,7 @@ public class Merge extends BaseCompatOp {
         super(inputs);
     }
 
-    public Merge(){
-        
-    }
+    public Merge(){ }
 
     /**
      * WARNING: do not change without changing serialization methods
@@ -53,9 +55,6 @@ public class Merge extends BaseCompatOp {
     public static final String OP_NAME = "merge";
     public static final int OP_NUM = 60;
 
-    public Merge(SameDiff sd, SDVariable a, SDVariable b){
-        this(sd, new SDVariable[]{a, b});
-    }
 
     @Override
     public String opName() {
@@ -71,7 +70,7 @@ public class Merge extends BaseCompatOp {
     public SDVariable[] outputVariables() {
         return super.outputVariables();
     }
-
+    //rnn/TensorArrayStack/TensorArrayGatherV3
     @Override
     public String tensorflowName() {
         return "Merge";
@@ -94,8 +93,7 @@ public class Merge extends BaseCompatOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
-        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 2, "Expected 2 input dataypes for %s, got %s", getClass(), inputDataTypes);
-        Preconditions.checkState(inputDataTypes.get(0) == inputDataTypes.get(1), "Input datatypes must be the same for %s, got %s", getClass(), inputDataTypes);
+        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() >= 1, "Expected at least 1  input data types for %s, got %s", getClass(), inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/NextIteration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/NextIteration.java
index 5fd09dcd0..60cba7514 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/NextIteration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/NextIteration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/StopGradient.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/StopGradient.java
index f302c752a..5d6396514 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/StopGradient.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/StopGradient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Switch.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Switch.java
index 2bd6923e7..34b061c4d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Switch.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/Switch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.controlflow.compat;
 
@@ -32,9 +36,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Switch op forwards input to one of two outputs based on the value of a predicate
- */
 public class Switch extends BaseCompatOp {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/While.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/While.java
new file mode 100644
index 000000000..518662ba8
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/controlflow/compat/While.java
@@ -0,0 +1,103 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.linalg.api.ops.impl.controlflow.compat;
+
+import lombok.Data;
+import lombok.NoArgsConstructor;
+import org.nd4j.autodiff.samediff.SDVariable;
+import org.nd4j.autodiff.samediff.SameDiff;
+import org.nd4j.common.base.Preconditions;
+import org.nd4j.linalg.api.buffer.DataType;
+import org.nd4j.linalg.api.ops.Op.Type;
+import org.tensorflow.framework.AttrValue;
+import org.tensorflow.framework.GraphDef;
+import org.tensorflow.framework.NodeDef;
+
+import java.util.List;
+import java.util.Map;
+
+@Data
+@NoArgsConstructor
+public class While extends BaseCompatOp {
+
+    protected boolean isConstant;
+
+    public While(SameDiff sameDiff, SDVariable[] inputs){
+        super(sameDiff, inputs);
+    }
+
+    public While(SameDiff sameDiff, String frameName, SDVariable input){
+        super(sameDiff, new SDVariable[]{input});
+        this.frameName = frameName;
+        isConstant = input.isConstant();
+    }
+
+    public While(SameDiff sameDiff, String frameName, SDVariable input, boolean isConstant){
+        super(sameDiff, new SDVariable[]{input});
+        this.frameName = frameName;
+        this.isConstant = isConstant;
+    }
+
+    /**
+     * WARNING: do not change without changing serialization methods
+     * See {@link org.nd4j.autodiff.samediff.serde.FlatBuffersMapper#getOpNum(String, Type)}
+     *  and {@link org.nd4j.imports.converters.DifferentialFunctionClassHolder#customOpClassForHashAndName(long, String)}
+     */
+    public static final String OP_NAME = "While";
+    public static final int OP_NUM = 101;
+
+    @Override
+    public String opName() {
+        return OP_NAME;
+    }
+
+    @Override
+    public SDVariable[] outputVariables() {
+        return super.outputVariables();
+    }
+
+    @Override
+    public String tensorflowName() {
+        return "While";
+    }
+
+    @Override
+    public Type opType() {
+        return Type.LOGIC;
+    }
+
+    @Override
+    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
+        super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
+        isConstant = attributesForNode.get("is_constant").getB();
+    }
+
+    @Override
+    public int getNumOutputs(){
+        return 1;
+    }
+
+    @Override
+    public List calculateOutputDataTypes(List inputDataTypes){
+        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected 1 input datatype for %s, got %s", getClass(), inputDataTypes);
+        return inputDataTypes;
+    }
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/BaseGridOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/BaseGridOp.java
index d5742273e..82e11f321 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/BaseGridOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/BaseGridOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.grid;
 
@@ -28,9 +32,6 @@ import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BaseGridOp extends BaseOp implements GridOp {
     protected List queuedOps = new ArrayList<>();
     protected List grid = new ArrayList<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/FreeGridOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/FreeGridOp.java
index d47e8de55..1f042ea99 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/FreeGridOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/grid/FreeGridOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.grid;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.ops.Op;
 
 import java.util.List;
 
-/**
- * Simple GridOp that operates on arbitrary number of Ops, that have no relations between them.
- *
- * @author raver119@gmail.com
- */
 public class FreeGridOp extends BaseGridOp {
 
     public FreeGridOp() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/CropAndResize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/CropAndResize.java
index 67c67e8fa..cf5739b6c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/CropAndResize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/CropAndResize.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.image;
 
@@ -30,10 +34,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * CropAndResize Op
- * @author Alex Black
- */
 @NoArgsConstructor
 public class CropAndResize extends DynamicCustomOp {
     public enum Method {BILINEAR, NEAREST};
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ExtractImagePatches.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ExtractImagePatches.java
index e71d430c3..e10e625a9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ExtractImagePatches.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ExtractImagePatches.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.image;
 
@@ -31,12 +35,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Extract image patches op - a sliding window operation over 4d activations that puts the
- * output images patches into the depth dimension
- *
- * @author Alex Black
- */
 public class ExtractImagePatches extends DynamicCustomOp {
 
     private int[] kSizes;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ImageResize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ImageResize.java
index ec05a3621..b755f2540 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ImageResize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ImageResize.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.image;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppression.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppression.java
index f7ab95d77..4778fecca 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppression.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppression.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.image;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.Op;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Non max suppression
- *
- * @author raver119@gmail.com
- */
 public class NonMaxSuppression extends DynamicCustomOp {
 
     public NonMaxSuppression() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionV3.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionV3.java
index 77c8642cf..1ad88a30c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionV3.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionV3.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.image;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.Op;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Non max suppression
- *
- * @author raver119@gmail.com
- */
 public class NonMaxSuppressionV3 extends DynamicCustomOp {
 
     public NonMaxSuppressionV3() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionWithOverlaps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionWithOverlaps.java
new file mode 100644
index 000000000..0e690e969
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/NonMaxSuppressionWithOverlaps.java
@@ -0,0 +1,99 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.linalg.api.ops.impl.image;
+
+import lombok.NonNull;
+import org.nd4j.autodiff.samediff.SDVariable;
+import org.nd4j.autodiff.samediff.SameDiff;
+import org.nd4j.imports.NoOpNameFoundException;
+import org.nd4j.linalg.api.buffer.DataType;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.api.ops.DynamicCustomOp;
+import org.nd4j.linalg.api.ops.Op;
+
+import java.util.Collections;
+import java.util.List;
+
+public class NonMaxSuppressionWithOverlaps extends DynamicCustomOp {
+
+    public NonMaxSuppressionWithOverlaps() {}
+
+    public NonMaxSuppressionWithOverlaps(SameDiff sameDiff,
+                                         @NonNull SDVariable boxes,
+                                         @NonNull SDVariable scores,
+                                         @NonNull SDVariable maxOutSize,
+                                         @NonNull SDVariable iouThreshold,
+                                         @NonNull SDVariable scoreThreshold) {
+        super(null, sameDiff, new SDVariable[]{boxes, scores, maxOutSize, iouThreshold, scoreThreshold}, false);
+    }
+
+    public NonMaxSuppressionWithOverlaps(SameDiff sameDiff,
+                                         SDVariable boxes,
+                                         SDVariable scores,
+                                         int maxOutSize,
+                                         double iouThreshold,
+                                         double scoreThreshold) {
+        super(null, sameDiff, new SDVariable[]{boxes, scores}, false);
+        addIArgument(maxOutSize);
+        addTArgument(iouThreshold, scoreThreshold);
+    }
+
+    public NonMaxSuppressionWithOverlaps(INDArray boxes, INDArray scores,
+                                         int maxOutSize,
+                                         double iouThreshold,
+                                         double scoreThreshold) {
+        addInputArgument(boxes,scores);
+        addIArgument(maxOutSize);
+        addTArgument(iouThreshold, scoreThreshold);
+    }
+
+    @Override
+    public String onnxName() {
+        throw new NoOpNameFoundException("No onnx name found for shape " + opName());
+    }
+
+    @Override
+    public String tensorflowName() {
+        return "NonMaxSuppressionWithOverlaps";
+    }
+
+
+    @Override
+    public String opName() {
+        return "non_max_suppression_overlaps";
+    }
+
+    @Override
+    public Op.Type opType() {
+        return Op.Type.CUSTOM;
+    }
+
+    @Override
+    public List doDiff(List i_v) {
+        return Collections.singletonList(sameDiff.zerosLike(arg()));
+    }
+
+    @Override
+    public List calculateOutputDataTypes(List inputDataTypes){
+        //Always 1D integer tensor (indices)
+        return Collections.singletonList(DataType.INT);
+    }
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeArea.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeArea.java
index 30a05ba55..f37f8c33f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeArea.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeArea.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.image;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBicubic.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBicubic.java
index 7c98cb12c..c0423d01b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBicubic.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBicubic.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit, K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.image;
 
 import lombok.NoArgsConstructor;
@@ -33,10 +37,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * ResizeBicubic op wrapper
- * @author Alexander Stoyakin
- */
 @NoArgsConstructor
 public class ResizeBicubic extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBilinear.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBilinear.java
index 65c671ae3..6f39345fe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBilinear.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeBilinear.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.image;
 
@@ -36,10 +40,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * ResizeBilinear op wrapper
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class ResizeBilinear extends DynamicCustomOp {
     protected boolean alignCorners = false;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeNearestNeighbor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeNearestNeighbor.java
index a9975f0c7..a4c611488 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeNearestNeighbor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/image/ResizeNearestNeighbor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.image;
 
@@ -30,10 +34,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.List;
 import java.util.Map;
 
-/**
- * ResizeNearestNeighbor op wrapper
- * @author raver119@gmail.com
- */
 public class ResizeNearestNeighbor extends DynamicCustomOp {
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/FirstIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/FirstIndex.java
index bc6249049..8c7b7739b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/FirstIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/FirstIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.indexaccum;
 
@@ -30,12 +34,6 @@ import org.nd4j.linalg.indexing.conditions.Condition;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Calculate the index
- * of max value over a vector
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 public class FirstIndex extends BaseIndexAccumulation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/LastIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/LastIndex.java
index 1325d33c5..7b0e47dce 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/LastIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/LastIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.indexaccum;
 
@@ -32,12 +36,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Calculate the index
- * of max value over a vector
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 public class LastIndex extends BaseIndexAccumulation {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmax.java
index b4d74d3be..228996407 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.indexaccum.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmin.java
index 530d7778e..16db04b2c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgAmin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.indexaccum.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMax.java
index 799e6ec65..e2a7438bd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.indexaccum.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMin.java
index cfd96de42..00445ee87 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/indexaccum/custom/ArgMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.indexaccum.custom;
 
@@ -32,11 +36,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * ArgMin function
- *
- * @author Alex Black
- */
 @Data
 public class ArgMin extends DynamicCustomOp {
     protected boolean keepDims = false;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/ExternalErrorsFunction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/ExternalErrorsFunction.java
index e154d4da7..ded569e0d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/ExternalErrorsFunction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/ExternalErrorsFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling2D.java
index ce1898d0b..725f8c2d2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -140,7 +144,7 @@ public class AvgPooling2D extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
-        if(config == null && iArguments.size() > 0){
+        if(config == null && iArguments.size() > 0) {
             //Perhaps loaded from FlatBuffers - hence we have IArgs but not Config object
             config = Pooling2DConfig.builder()
                     .kH(iArguments.get(0))
@@ -157,6 +161,7 @@ public class AvgPooling2D extends DynamicCustomOp {
                     .type(Pooling2D.Pooling2DType.AVG)
                     .build();
         }
+
         return config.toProperties();
     }
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling3D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling3D.java
index caa9d8cd8..32dbbcb08 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling3D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/AvgPooling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -33,11 +37,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Average Pooling3D operation
- *
- * @author Alex Black
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
@@ -65,7 +64,9 @@ public class AvgPooling3D extends Pooling3D {
 
     @Override
     public Map propertiesForFunction() {
-        return config.toProperties();
+        if(config != null)
+            return config.toProperties();
+        return Collections.emptyMap();
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNorm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNorm.java
index c58bc5dc9..83779290e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNorm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNorm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -42,9 +46,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * BatchNorm operation
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNormDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNormDerivative.java
index 0cac5affc..a11dbe295 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNormDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/BatchNormDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.List;
 
 
-/**
- * BatchNormDerivative operation
- */
 @Slf4j
 public class BatchNormDerivative extends BatchNorm {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Col2Im.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Col2Im.java
index 72c2b870b..2e45422ff 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Col2Im.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Col2Im.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -32,11 +36,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Col2Im operation.
- *
- * Created by agibsonccc on 3/9/16.
- */
 @Getter
 public class Col2Im extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1D.java
index d7d679299..8d688a310 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -35,9 +39,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * Conv2D operation
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1DDerivative.java
index df67eecc0..6e94ba4c0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv1DDerivative.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -36,11 +40,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Conv1D Backprop operation
- *
- * @author Alex Black
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2D.java
index 22eada4f7..198d34a96 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -45,9 +49,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * Conv2D operation
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
@@ -70,7 +71,7 @@ public class Conv2D extends DynamicCustomOp {
     }
 
     public Conv2D(INDArray[] inputs, INDArray[] outputs, Conv2DConfig config){
-            super(inputs, outputs);
+        super(inputs, outputs);
 
         initConfig(config);
     }
@@ -125,7 +126,9 @@ public class Conv2D extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
-        return config.toProperties();
+        if(config != null)
+            return config.toProperties();
+        return Collections.emptyMap();
     }
 
     @Override
@@ -167,12 +170,12 @@ public class Conv2D extends DynamicCustomOp {
 
 
         Map onnxMappings = new HashMap<>();
-        onnxMappings.put("kH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("kW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
-        onnxMappings.put("dH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("dW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
-        onnxMappings.put("sH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("sW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
+        onnxMappings.put("kH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("kW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
+        onnxMappings.put("dH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("dW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
+        onnxMappings.put("sH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("sW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
         onnxMappings.put("isSameMode", new StringEqualsAdapter("SAME"));
 
         ret.put(tensorflowName(), tfMappings);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2DDerivative.java
index 62afaf903..11b470b9b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv2DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -29,9 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * Conv2DDerivative operation
- */
 @Slf4j
 public class Conv2DDerivative extends Conv2D {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3D.java
index 0a6ecc80d..58fe6aaa7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -42,9 +46,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * Conv3D operation
- */
 @Slf4j
 @Getter
 public class Conv3D extends DynamicCustomOp {
@@ -161,13 +162,13 @@ public class Conv3D extends DynamicCustomOp {
         tfAdapters.put("kH", new NDArrayShapeAdapter(1));
         tfAdapters.put("kW", new NDArrayShapeAdapter(2));
 
-        tfAdapters.put("sD", new IntArrayIntIndexAdpater(1));
-        tfAdapters.put("sH", new IntArrayIntIndexAdpater(2));
-        tfAdapters.put("sW", new IntArrayIntIndexAdpater(3));
+        tfAdapters.put("sD", new IntArrayIntIndexAdapter(1));
+        tfAdapters.put("sH", new IntArrayIntIndexAdapter(2));
+        tfAdapters.put("sW", new IntArrayIntIndexAdapter(3));
 
-        tfAdapters.put("pD", new IntArrayIntIndexAdpater(1));
-        tfAdapters.put("pH", new IntArrayIntIndexAdpater(2));
-        tfAdapters.put("pW", new IntArrayIntIndexAdpater(3));
+        tfAdapters.put("pD", new IntArrayIntIndexAdapter(1));
+        tfAdapters.put("pH", new IntArrayIntIndexAdapter(2));
+        tfAdapters.put("pW", new IntArrayIntIndexAdapter(3));
 
 
         tfAdapters.put("isSameMode", new StringNotEqualsAdapter("VALID"));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3DDerivative.java
index 3c75e0cdb..24a68de30 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Conv3DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -29,9 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * Conv3DDerivative operation
- */
 @Slf4j
 public class Conv3DDerivative extends Conv3D {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2D.java
index 8e2d82105..39b13e1e0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -42,9 +46,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * DeConv2D operation
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DDerivative.java
index 06c551447..cac6e0111 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -29,9 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * DeConv2DDerivative operation
- */
 @Slf4j
 public class DeConv2DDerivative extends DeConv2D {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DTF.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DTF.java
index 7d6e30e08..14f594611 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DTF.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv2DTF.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -43,9 +47,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * DeConv2D operation, TF-wrapper
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
@@ -198,12 +199,12 @@ public class DeConv2DTF extends DynamicCustomOp {
 
 
         Map onnxMappings = new HashMap<>();
-        onnxMappings.put("kH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("kW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
-        onnxMappings.put("dH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("dW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
-        onnxMappings.put("sH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("sW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
+        onnxMappings.put("kH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("kW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
+        onnxMappings.put("dH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("dW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
+        onnxMappings.put("sH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("sW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
         onnxMappings.put("isSameMode", new StringEqualsAdapter("SAME"));
         onnxMappings.put("isNHWC", new StringEqualsAdapter("NHWC"));
 
@@ -243,6 +244,9 @@ public class DeConv2DTF extends DynamicCustomOp {
     public List calculateOutputDataTypes(List inputDataTypes){ //inShape, weights, input
         int n = args().length;
         Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
+        if(!dArguments.isEmpty()) {
+            return Arrays.asList(dArguments.get(0));
+        }
         return Collections.singletonList(inputDataTypes.get(2));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java
index b41f4fe64..9fee18426 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -35,11 +39,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * DeConv3D operation
- *
- * @author Alex Black
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DDerivative.java
index 9aec486ee..ab3d13332 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -32,9 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * DeConv3DDerivative operation
- */
 @Slf4j
 public class DeConv3DDerivative extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DTF.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DTF.java
index 0ec5ec448..ffeb5ab2d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DTF.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3DTF.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -38,9 +42,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * DeConv3D operation, TF-wrapper
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthToSpace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthToSpace.java
index 20808dff5..d897e6fe5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthToSpace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthToSpace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -32,18 +36,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * Inverse operation to SpaceToDepth. This operation takes 4D array in, in either NCHW or NHWC format,
- * and moves data from  channels (C) to spatial dimensions (HW) for given blockSize.
- * 
        
- * Example:
- * blockSize = 4
- * dataFormat = "NCHW"
- * input shape =  [128, 4, 4, 48]
- * output shape = [128, 4*4, 4*4, 48/4/4]
- *
- * @author raver119@gmail.com, Max Pumperla
- */
 public class DepthToSpace extends DynamicCustomOp {
     private DataFormat dataFormat = DataFormat.NHWC;
     private int blockSize;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2D.java
index 031d82447..a96c56378 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -31,7 +35,7 @@ import org.nd4j.imports.descriptors.properties.AttributeAdapter;
 import org.nd4j.imports.descriptors.properties.PropertyMapping;
 import org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueIntIndexArrayAdapter;
 import org.nd4j.imports.descriptors.properties.adapters.NDArrayShapeAdapter;
-import org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdpater;
+import org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdapter;
 import org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter;
 import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
 import org.nd4j.linalg.api.buffer.DataType;
@@ -47,9 +51,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * Depthwise Conv2D operation
- */
 @Slf4j
 @Getter
 public class DepthwiseConv2D extends DynamicCustomOp {
@@ -196,12 +197,12 @@ public class DepthwiseConv2D extends DynamicCustomOp {
 
 
         Map onnxMappings = new HashMap<>();
-        onnxMappings.put("kH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("kW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
-        onnxMappings.put("dH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("dW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
-        onnxMappings.put("sH", new SizeThresholdIntArrayIntIndexAdpater(0, 2, 0));
-        onnxMappings.put("sW", new SizeThresholdIntArrayIntIndexAdpater(1, 2, 0));
+        onnxMappings.put("kH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("kW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
+        onnxMappings.put("dH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("dW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
+        onnxMappings.put("sH", new SizeThresholdIntArrayIntIndexAdapter(0, 2, 0));
+        onnxMappings.put("sW", new SizeThresholdIntArrayIntIndexAdapter(1, 2, 0));
         onnxMappings.put("isSameMode", new StringEqualsAdapter("SAME"));
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2DBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2DBp.java
index 56681a4ac..63f9a426b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2DBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DepthwiseConv2DBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
 import lombok.*;
@@ -29,9 +33,6 @@ import java.lang.reflect.Field;
 import java.util.*;
 
 
-/**
- * Backpropagation for Depthwise Conv2D operation
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2col.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2col.java
index 7fde898b2..b94c1eb91 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2col.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2col.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -31,9 +35,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Im2col operation
- */
 public class Im2col extends DynamicCustomOp {
 
     protected Conv2DConfig conv2DConfig;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2colBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2colBp.java
index b6dff8797..2518c6200 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2colBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Im2colBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -29,9 +33,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Im2col operation
- */
 public class Im2colBp extends DynamicCustomOp {
 
     protected Conv2DConfig conv2DConfig;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalization.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalization.java
index 644c99b6f..b10c53c0a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalization.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -38,9 +42,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * LocalResponseNormalization operation
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
@@ -79,7 +80,9 @@ public class LocalResponseNormalization extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
-        return config.toProperties();
+        if(config != null)
+            return config.toProperties();
+        return Collections.emptyMap();
     }
 
     private void addArgs() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalizationDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalizationDerivative.java
index b4911c4d6..bf86bfefb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalizationDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/LocalResponseNormalizationDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNorma
 import java.util.List;
 
 
-/**
- * LocalResponseNormalizationDerivative operation
- */
 @Slf4j
 public class LocalResponseNormalizationDerivative extends LocalResponseNormalization {
     @Builder(builderMethodName = "derivativeBuilder")
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPoolWithArgmax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPoolWithArgmax.java
index 6a568acf8..f5a43e587 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPoolWithArgmax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPoolWithArgmax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -82,7 +86,7 @@ public class MaxPoolWithArgmax extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
-        if(config == null && !iArguments.isEmpty()){
+        if(config == null && !iArguments.isEmpty()) {
             //Perhaps loaded from FlatBuffers - hence we have IArgs but not Config object
             config = Pooling2DConfig.builder()
                     .kH(iArguments.get(0))
@@ -280,7 +284,10 @@ public class MaxPoolWithArgmax extends DynamicCustomOp {
         Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected 1 input data type for %s, got %s", getClass(), inputDataTypes);
         List result = new ArrayList<>();
         result.add(inputDataTypes.get(0));
-        result.add(outputType == null ? DataType.INT : outputType);
+        if(dArguments.isEmpty())
+            result.add(outputType == null ? DataType.INT : outputType);
+        else
+            result.add(dArguments.get(0));
         return result;
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling2D.java
index cab37eb3d..6c7e6fc99 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -302,7 +306,7 @@ public class MaxPooling2D extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
-        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected 1 input data type for %s, got %s", getClass(), inputDataTypes);
+        Preconditions.checkState(inputDataTypes != null && !inputDataTypes.isEmpty(), "Expected at least 1 input data type for %s, got %s", getClass(), inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling3D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling3D.java
index 4aa4ba3e5..fef73aad1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling3D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/MaxPooling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -32,11 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Max Pooling3D operation
- *
- * @author Alex Black
- */
 @Slf4j
 @Getter
 @NoArgsConstructor
@@ -72,7 +71,9 @@ public class MaxPooling3D extends Pooling3D {
 
     @Override
     public Map propertiesForFunction() {
-        return config.toProperties();
+        if(config != null)
+            return config.toProperties();
+        return Collections.emptyMap();
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2D.java
index 30a3de688..ebb20fdaa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2DDerivative.java
index f5880596a..3f2d8904f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling2DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3D.java
index 5bc675edd..75e2df61b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -165,14 +169,15 @@ public abstract class Pooling3D extends DynamicCustomOp {
         int[] strides = new int[3];
         int[] padding = new int[3];
         int[] kernel = new int[3];
-        for( int i=0; i<3; i++ ) {
+        for( int i = 0; i < 3; i++) {
             //TF values here have 5 values: minibatch and Channels at positions 0 and 4, which are almost always 1
-            strides[i] = tfStrides.get(i+1).intValue();
+            strides[i] = tfStrides.get(i + 1).intValue();
             if(tfPadding != null && tfPadding.size() > 0) {
                 //Empty for SAME mode
                 padding[i] = tfPadding.get(i + 1).intValue();
             }
-            kernel[i] = tfKernels.get(i+1).intValue();
+
+            kernel[i] = tfKernels.get(i + 1).intValue();
         }
 
         Pooling3DType type;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3DDerivative.java
index d0062e95a..12b5e9236 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Pooling3DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2D.java
index 04cfbdc67..58437aa57 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -33,9 +37,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Separable convolution 2D operation
- */
 @Slf4j
 public class SConv2D extends Conv2D {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2DDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2DDerivative.java
index ed450cb00..6936f3597 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2DDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SConv2DDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -29,9 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * SConv2DDerivative operation
- */
 @Slf4j
 public class SConv2DDerivative extends SConv2D {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SpaceToDepth.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SpaceToDepth.java
index 700824512..0eda3b472 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SpaceToDepth.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/SpaceToDepth.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
@@ -31,18 +35,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * This operation takes 4D array in, in either NCHW or NHWC format, and moves data from spatial dimensions (HW)
- * to channels (C) for given blockSize
- * 
        
- * Example:
- * blockSize = 4
- * dataFormat = "NCHW"
- * input shape =  [128, 16, 16, 3]
- * output shape = [128, 16/4, 16/4, 3*4*4]
- *
- * @author raver119@gmail.com, Max Pumperla
- */
 public class SpaceToDepth extends DynamicCustomOp {
     private DataFormat dataFormat;
     private int blockSize;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2d.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2d.java
index 214fb00fd..1e1fb9175 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2d.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2d.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2dDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2dDerivative.java
index 7fd25ab75..ecf623de4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2dDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling2dDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3d.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3d.java
index 67f516012..8364212c2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3d.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3d.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3dBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3dBp.java
index a5236cbc5..396228ee9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3dBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/Upsampling3dBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.convolution;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/BaseConvolutionConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/BaseConvolutionConfig.java
index f2d21072a..5a8f2ad48 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/BaseConvolutionConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/BaseConvolutionConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv1DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv1DConfig.java
index f401c88a5..d86ed9f48 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv1DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv1DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv2DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv2DConfig.java
index 30c20a452..7981da12f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv2DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv2DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv3DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv3DConfig.java
index c2a7ba9b8..1607d6ccd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv3DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Conv3DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv2DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv2DConfig.java
index 65d076d41..0b57e5cd5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv2DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv2DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv3DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv3DConfig.java
index ef6414124..041cda3d2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv3DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/DeConv3DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/LocalResponseNormalizationConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/LocalResponseNormalizationConfig.java
index 92634af90..e7edfcf4e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/LocalResponseNormalizationConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/LocalResponseNormalizationConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/PaddingMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/PaddingMode.java
index 21c3f3f8e..1b641322b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/PaddingMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/PaddingMode.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling2DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling2DConfig.java
index 7176bf0f0..1bf19aad2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling2DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling2DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling3DConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling3DConfig.java
index ec155fc10..007c89e89 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling3DConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/config/Pooling3DConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.convolution.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRU.java
index 7d15fbf62..3af570011 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRU.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUBp.java
index 0bc8a6fcf..78b5722fd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUCell.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUCell.java
index 79563e8af..96d777f5e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUCell.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/GRUCell.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
@@ -29,11 +33,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * GRU cell for RNNs
- *
- *
- */
 public class GRUCell extends DynamicCustomOp {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlock.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlock.java
index 127d071a6..f58efee1d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlock.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlock.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
@@ -32,48 +36,10 @@ import org.tensorflow.framework.GraphDef;
 import org.tensorflow.framework.NodeDef;
 
 import java.util.Arrays;
+import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * LSTM layer implemented as a single operation.
- * Implementation of operation for LSTM layer with optional peep hole connections.
        
- * S. Hochreiter and J. Schmidhuber. "Long Short-Term Memory". Neural Computation and https://research.google.com/pubs/archive/43905.pdf
        
- * Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory recurrent neural network architectures for large scale acoustic modeling." INTERSPEECH, 2014.
        
- * See also: https://arxiv.org/pdf/1503.04069.pdf
        
- * 
        
- * See also {@link LSTMBlockCell} - lstmBlockCell op is used internally at C++ level for computation.
        
- * 
        
- * Input arrays:
        
- * 0: max sequence length; long/int64 scalar
        
- * 1: input [seqLength, bS, inSize] at time t
        
- * 2: previous/initial cell state  [bS, numUnits]
        
- * 3: previous/initial output [bS, numUnits]
        
- * 4: Weights - concatenated (input-to-hidden, hidden-to-hidden weights)  weights, [(inSize+numUnits), 4*numUnits]
        
- * 5: weights - cell peephole (t-1) connections to input modulation gate, [numUnits]
        
- * 6: weights - cell peephole (t-1) connections to forget gate, [numUnits]
        
- * 7: weights - cell peephole (t) connections to output gate, [numUnits]
        
- * 8: biases, shape [4*numUnits]
        
- * 
        
- * Input integer arguments: set via {@link LSTMConfiguration}
        
- * 0: if not zero, provide peephole connections
        
- * 1: Data format - 0=TNS=[seqLen,mb,size]; 1=NST=[mb,size,seqLen]; 2=NTS=[mb,seqLen,size]
        
- * 
        
- * Input float arguments: set via {@link LSTMConfiguration}
        
- * 0: the bias added to forget gates in order to reduce the scale of forgetting in the beginning of the training
        
- * 1: clipping value for cell state, if it is not equal to zero, then cell state is clipped
        
- * 
        
- * Output arrays:
        
- * 0: i      - Input modulation gate activations, rank 3, shape as per dataFormat
        
- * 1: c (cs) - Cell state (pre tanh), rank 3, shape as per dataFormat
        
- * 2: f      - Output - forget gate activations, rank 3, shape as per dataFormat
        
- * 3: o      - Output - output gate activations, rank 3, shape as per dataFormat
        
- * 4: z (ci) - Output - block input, rank 3, shape as per dataFormat
        
- * 5: h (co) - Cell state, post tanh, rank 3, shape as per dataFormat
        
- * 6: y (h)  - Current cell output, rank 3, shape as per dataFormat
        
- *
- * @author Alex Black
- */
 public class LSTMBlock extends DynamicCustomOp {
 
     private LSTMConfiguration configuration;
@@ -133,7 +99,10 @@ public class LSTMBlock extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
-        return configuration.toProperties(true);
+        if(configuration != null)
+            return configuration.toProperties(true);
+        else
+            return Collections.emptyMap();
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlockCell.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlockCell.java
index 41b8e6eae..a8f5fe7f5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlockCell.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMBlockCell.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
@@ -30,48 +34,10 @@ import org.tensorflow.framework.GraphDef;
 import org.tensorflow.framework.NodeDef;
 
 import java.util.Arrays;
+import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * LSTM Block cell - represents forward pass for a single time step of an LSTM RNN.
        
- * Same operation used internally in op/layer {@link LSTMLayer}.
        
- * Implementation of operation for LSTM layer with optional peep hole connections.
        
- * S. Hochreiter and J. Schmidhuber. "Long Short-Term Memory". Neural Computation and https://research.google.com/pubs/archive/43905.pdf
        
- * Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory recurrent neural network architectures for large scale acoustic modeling." INTERSPEECH, 2014.
        
- * See also: https://arxiv.org/pdf/1503.04069.pdf
        
- * 
        
- * See also {@link LSTMLayer} for 'full time series" op - this lstmBlockCell op is used internally at C++ level in LSTMLayer.
        
- * Input arrays: 
        
- * 0: input [bS, inSize] at time t
        
- * 1: previous cell state  [bS, numUnits], time t-1
        
- * 2: previous output [bS, numUnits], time t-1
        
- * 3: Weights - concatenated (input-to-hidden, hidden-to-hidden weights)  weights, [(inSize+numUnits), 4*numUnits]
        
- * 4: weights - cell peephole (t-1) connections to input modulation gate, [numUnits]
        
- * 5: weights - cell peephole (t-1) connections to forget gate, [numUnits]
        
- * 6: weights - cell peephole (t) connections to output gate, [numUnits]
        
- * 7: biases, shape [4*numUnits]
        
- * 
        
- * Weights are set via {@link LSTMWeights}.
        
- * 
        
- * Input integer arguments: set via {@link LSTMConfiguration}
        
- * 0: if not zero, provide peephole connections
        
- * 
        
- * Input float arguments: set via {@link LSTMConfiguration}
        
- * 0: the bias added to forget gates in order to reduce the scale of forgetting in the beginning of the training
        
- * 1: clipping value for cell state, if it is not equal to zero, then cell state is clipped
        
- * 
        
- * Output arrays:
        
- * 0: i      - Input modulation gate activations [bS, numUnits]
        
- * 1: c (cs) - Cell state (pre tanh) [bs, numUnits] (cs)
        
- * 2: f      - Output - forget gate activations [bs, numUnits]
        
- * 3: o      - Output - output gate activations [bs, numUnits]
        
- * 4: z (ci) - Output - block input [bs, numUnits]
        
- * 5: h (co) - Cell state, post tanh [bs, numUnits]
        
- * 6: y (h)  - Current cell output [bS, numUnits], time t
        
- *
- * @author Alex Black
- */
 public class LSTMBlockCell extends DynamicCustomOp {
 
     private LSTMConfiguration configuration;
@@ -131,7 +97,9 @@ public class LSTMBlockCell extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
-        return configuration.toProperties(false);
+        if(configuration != null)
+            return configuration.toProperties(false);
+        return Collections.emptyMap();
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMCell.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMCell.java
index 9a957e0d2..0fdf34605 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMCell.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMCell.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguratio
 
 import java.util.Map;
 
-/**
- * LSTM cell
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class LSTMCell extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayer.java
index ebd812b72..895a7bf75 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayer.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
 import lombok.Getter;
@@ -34,32 +38,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * LSTM layer implemented as a single operation.
- * Implementation of operation for LSTM layer with optional peep hole connections.
        
- * S. Hochreiter and J. Schmidhuber. "Long Short-Term Memory". Neural Computation and https://research.google.com/pubs/archive/43905.pdf
        
- * Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory recurrent neural network architectures for large scale acoustic modeling." INTERSPEECH, 2014.
        
- * See also: https://arxiv.org/pdf/1503.04069.pdf
        
- * Input arrays:
        
- * 0: input 
        
- * [sL, bS, nIn]  when dataFormat - TNS 
        
- * [bS, sL, nIn]  when dataFormat - NST 
        
- * [bS, nIn, sL]  when dataFormat - NST 
        
- * 1: previous/initial cell state
        
- * shapes [nIn, 4*nOut] for FWD, BWD  Direction Mode 
        
- * shapes [2, nIn, 4*nOut] BIDIR_SUM, BIDIR_CONCAT and BIDIR_EXTRA_DIM  Direction Mode 
        
- * 2: previous/initial output [bS, numUnits]
        
- * * shapes [nIn, 4*nOut] for FWD, BWD  Direction Mode 
        
- * * shapes [2, nIn, 4*nOut] BIDIR_SUM, BIDIR_CONCAT and BIDIR_EXTRA_DIM  Direction Mode 
        
- * 3  max sequence length [bS] 
        
- * 4: LSTMLayerWeights - {@link LSTMLayerWeights} 
        
- * 5: LSTMLayerConfig - {@link LSTMLayerConfig}
        
- * 
        
- * Output arrays:
        
- * 0: output h  - rank 3 or 4, depends on DirectionMode and dataFormat
        
- * 1: output at last step hL - rank 3 or 4, depends on DirectionMode and dataFormat<
        
- * 2: cell state at last step cL  - same shape as in hL
        
- */
 @NoArgsConstructor
 public class LSTMLayer extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayerBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayerBp.java
index 6e4866b6c..294649e3d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayerBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/LSTMLayerBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
 import lombok.Getter;
@@ -32,9 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * LSTM layer backpropagation
- */
 @NoArgsConstructor
 public class LSTMLayerBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRU.java
index dbeed80db..29ddde102 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
@@ -32,11 +36,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.Map;
 
-/**
- * Simple recurrent unit
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class SRU extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRUCell.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRUCell.java
index 36a40348a..a718d90e3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRUCell.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/SRUCell.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent;
 
@@ -29,11 +33,6 @@ import org.tensorflow.framework.AttrValue;
 import org.tensorflow.framework.GraphDef;
 import org.tensorflow.framework.NodeDef;
 
-/**
- * A simple recurrent unit cell.
- *
- * @author Adam Gibson
- */
 public class SRUCell extends DynamicCustomOp {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/GRUCellConfiguration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/GRUCellConfiguration.java
index bc3d90efa..7acfd8207 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/GRUCellConfiguration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/GRUCellConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMActivations.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMActivations.java
index 27ebbc82f..26d854eab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMActivations.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMActivations.java
@@ -1,34 +1,24 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
-    /**
-     * integer numbers corresponding to activations:
-     * 0=tanh,
-     * 1=relu,
-     * 2=sigmoid,
-     * 3=affine,
-     * 4=leaky relu,
-     * 5= thresholded relu,
-     * 6=scaled tanh,
-     * 7=hard sigmoid,
-     * 8=ELU,
-     * 9=softsign,
-     * 10=softplus
-     */
     public enum LSTMActivations {
         //Note: ordinal (order) here matters for C++ level. Any new formats hsould be added at end
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMCellConfiguration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMCellConfiguration.java
index 1f50c9c8f..dedf2aed2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMCellConfiguration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMCellConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMConfiguration.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMConfiguration.java
index 985ea6048..ac01853d2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMConfiguration.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
@@ -25,11 +29,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.LinkedHashMap;
 import java.util.Map;
 
-/**
- * LSTM Configuration - for {@link LSTMLayer} and {@link LSTMBlockCell}
- *
- * @author Alex Black
- */
 @Builder
 @Data
 public class LSTMConfiguration {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDataFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDataFormat.java
index 788e87d59..1c965d257 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDataFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDataFormat.java
@@ -1,30 +1,24 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
-    /**
-     * notations 
        
-     * for unidirectional:
-     * TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as "time major"
        
-     * NST: shape [numExamples, inOutSize, timeLength]
        
-     * NTS: shape [numExamples, timeLength, inOutSize]
        
-     * for bidirectional:
-     * T2NS: 3 = [timeLength, 2, numExamples, inOutSize] (for ONNX)
-     */
-
     public enum LSTMDataFormat {
         //Note: ordinal (order) here matters for C++ level. Any new formats hsould be added at end
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDirectionMode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDirectionMode.java
index c93bc05f9..996db77b0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDirectionMode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMDirectionMode.java
@@ -1,30 +1,24 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
-/**
- * direction 
        
- *  FWD: 0 = fwd
- *  BWD: 1 = bwd
- *  BIDIR_SUM: 2 = bidirectional sum
- *  BIDIR_CONCAT: 3 = bidirectional concat
- *  BIDIR_EXTRA_DIM: 4 = bidirectional extra output dim (in conjunction with format dataFormat = 3) */
-
-//    const auto directionMode = INT_ARG(1);    // direction:
-
 public enum LSTMDirectionMode {
     //Note: ordinal (order) here matters for C++ level. Any new formats hsould be added at end
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMLayerConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMLayerConfig.java
index 071b6adf3..a3a79536c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMLayerConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/LSTMLayerConfig.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
 import lombok.AllArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/RnnDataFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/RnnDataFormat.java
index ea6625fd9..655e7e392 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/RnnDataFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/config/RnnDataFormat.java
@@ -1,29 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;
 
-/**
- * Data format for RNNs - rank 3 data.
        
- * TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as "time major"
        
- * NST: shape [numExamples, inOutSize, timeLength]
        
- * NTS: shape [numExamples, timeLength, inOutSize] - TF "time_major=false" layout
        
- *
- * @author Alex Black
- */
 public enum RnnDataFormat {
 
     //Note: ordinal (order) here matters for C++ level. Any new formats hsould be added at end
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/GRUCellOutputs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/GRUCellOutputs.java
index 6d2f5bc72..62e3c88ba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/GRUCellOutputs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/GRUCellOutputs.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs;
 
 import java.util.Arrays;
@@ -7,9 +27,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell;
 
-/**
- * The outputs of a GRU cell ({@link GRUCell}.
- */
 @Getter
 public class GRUCellOutputs {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMCellOutputs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMCellOutputs.java
index 25899294a..5d5f31a20 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMCellOutputs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMCellOutputs.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs;
 
 import java.util.Arrays;
@@ -7,9 +27,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell;
 
-/**
- * The outputs of a LSTM cell ({@link LSTMBlockCell}.
- */
 @Getter
 public class LSTMCellOutputs {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMLayerOutputs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMLayerOutputs.java
index 18e9b5598..e1a24e0d7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMLayerOutputs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/LSTMLayerOutputs.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs;
 
 import lombok.Getter;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRUCellOutputs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRUCellOutputs.java
index 9eddcc446..2f123c8c3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRUCellOutputs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRUCellOutputs.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs;
 
 import java.util.Arrays;
@@ -7,9 +27,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell;
 
-/**
- * The outputs of a GRU cell ({@link GRUCell}.
- */
 @Getter
 public class SRUCellOutputs {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRULayerOutputs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRULayerOutputs.java
index 213b007ca..45f833580 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRULayerOutputs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/outputs/SRULayerOutputs.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs;
 
 import java.util.Arrays;
@@ -9,9 +29,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell;
 
-/**
- * The outputs of a GRU cell ({@link GRUCell}.
- */
 @Getter
 public class SRULayerOutputs {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/GRUWeights.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/GRUWeights.java
index 62a5d644e..3fe54634c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/GRUWeights.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/GRUWeights.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
 
 import lombok.Builder;
@@ -7,10 +27,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell;
 
-/**
- * The weight configuration of a GRU cell.  For {@link GRUCell}.
- *
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @Builder
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMLayerWeights.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMLayerWeights.java
index dc63a2aae..e1762622b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMLayerWeights.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMLayerWeights.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
 
 
@@ -25,10 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer;
 import org.nd4j.common.util.ArrayUtil;
 
-/**
- * The weight configuration of a LSTMLayer.  For {@link LSTMLayer}
- * @author Alex Black
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @Builder
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMWeights.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMWeights.java
index eb792fcd4..9de8c2343 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMWeights.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/LSTMWeights.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
 
 import lombok.Builder;
@@ -8,10 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer;
 
-/**
- * The weight configuration of a LSTM layer.  For {@link LSTMLayer} and {@link LSTMBlockCell}.
- *
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @Builder
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/RNNWeights.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/RNNWeights.java
index c6c931c9b..fe3650e2e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/RNNWeights.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/RNNWeights.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
 
 import java.lang.reflect.Array;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/SRUWeights.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/SRUWeights.java
index 7b1c0e608..2e5abc507 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/SRUWeights.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/recurrent/weights/SRUWeights.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
 
 import lombok.Builder;
@@ -8,10 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU;
 import org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell;
 
-/**
- * The weight configuration of a SRU layer.  For {@link SRU} and {@link SRUCell}.
- *
- */
 @EqualsAndHashCode(callSuper = true)
 @Data
 @Builder
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/AbsoluteDifferenceLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/AbsoluteDifferenceLoss.java
index 113da4bb1..400b4810c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/AbsoluteDifferenceLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/AbsoluteDifferenceLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp;
 
 import java.util.List;
 
-/**
- * Absolute difference loss
- *
- * @author Alex Black
- */
 public class AbsoluteDifferenceLoss extends BaseLoss {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/BaseLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/BaseLoss.java
index 8f5936465..aee494750 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/BaseLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/BaseLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/CosineDistanceLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/CosineDistanceLoss.java
index 21ac3d25c..58e88f9ac 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/CosineDistanceLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/CosineDistanceLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.loss.bp.CosineDistanceLossBp;
 import java.util.List;
 
-/**
- * Cosine distance loss
- *
- * @author Alex Black
- */
 public class CosineDistanceLoss extends BaseLoss {
 
     private int dimension;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HingeLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HingeLoss.java
index 3f8613ac5..d0fcf2e83 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HingeLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HingeLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.HingeLossBp;
 
 import java.util.List;
 
-/**
- * Hinge loss
- *
- * @author Alex Black
- */
 public class HingeLoss extends BaseLoss {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HuberLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HuberLoss.java
index 0c1c65886..59fa316b6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HuberLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/HuberLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.HuberLossBp;
 
 import java.util.List;
 
-/**
- * Huber loss
- *
- * @author Alex Black
- */
 public class HuberLoss extends BaseLoss {
 
     private double delta;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/L2Loss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/L2Loss.java
index 14c8b736f..fa0cf8ff8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/L2Loss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/L2Loss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogLoss.java
index 28b5c08a6..2e36bf056 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -24,12 +28,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.LogLossBp;
 
 import java.util.List;
 
-/**
- * Binary log loss, or cross entropy loss:
- * {@code -1/numExamples * sum_i (labels[i] * log(predictions[i] + epsilon) + (1-labels[i]) * log(1-predictions[i] + epsilon))}
- *
- * @author Alex Black
- */
 public class LogLoss extends BaseLoss {
     public static final double DEFAULT_EPSILON = 1e-7;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogPoissonLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogPoissonLoss.java
index 920d8a136..c5801fa7f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogPoissonLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/LogPoissonLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp;
 
 import java.util.List;
 
-/**
- * Log Poisson loss
- *
- * Note: This expects that the input/predictions are log(x) not x!
- *
- * @author Paul Dubs
- */
 public class LogPoissonLoss extends BaseLoss {
     private boolean full;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanPairwiseSquaredErrorLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanPairwiseSquaredErrorLoss.java
index b6bfc6748..9cfff4e76 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanPairwiseSquaredErrorLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanPairwiseSquaredErrorLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanSquaredErrorLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanSquaredErrorLoss.java
index 2bf1c66db..367e977ea 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanSquaredErrorLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/MeanSquaredErrorLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.MeanSquaredErrorLossBp;
 
 import java.util.List;
 
-/**
- * Mean squared error loss
- *
- * @author Alex Black
- */
 public class MeanSquaredErrorLoss extends BaseLoss {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SigmoidCrossEntropyLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SigmoidCrossEntropyLoss.java
index 0763213c2..961fbb84b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SigmoidCrossEntropyLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SigmoidCrossEntropyLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.impl.loss.bp.SigmoidCrossEntropyLossBp;
 import java.util.*;
 
 
-/**
- * Sigmoid cross entropy loss with logits
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class SigmoidCrossEntropyLoss extends BaseLoss {
     public static final double DEFAULT_LABEL_SMOOTHING = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyLoss.java
index 813d89400..d39dd449f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -32,11 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Softmax cross entropy loss
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class SoftmaxCrossEntropyLoss extends BaseLoss {
     public static final double DEFAULT_LABEL_SMOOTHING = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyWithLogitsLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyWithLogitsLoss.java
index de8a57aee..511271f04 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyWithLogitsLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SoftmaxCrossEntropyWithLogitsLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -28,11 +32,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Softmax cross entropy loss with Logits
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class SoftmaxCrossEntropyWithLogitsLoss extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SparseSoftmaxCrossEntropyLossWithLogits.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SparseSoftmaxCrossEntropyLossWithLogits.java
index f89b2ca53..53ccdb578 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SparseSoftmaxCrossEntropyLossWithLogits.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/SparseSoftmaxCrossEntropyLossWithLogits.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -36,13 +40,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * Sparse softmax cross entropy loss with logits.
- * Applies softmax to the input, then calculates cross entropy loss. Labels should be in integer-index format,
- * not one-hot format
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class SparseSoftmaxCrossEntropyLossWithLogits extends DynamicCustomOp {
 
@@ -91,6 +88,8 @@ public class SparseSoftmaxCrossEntropyLossWithLogits extends DynamicCustomOp {
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
         Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 2, "Expected 2 input datatypes for %s, got %s", getClass(), inputDataTypes);
+        if(dArguments != null && !dArguments.isEmpty())
+            return Arrays.asList(dArguments.get(0));
         return Collections.singletonList(inputDataTypes.get(1));    //Same as predictions (logits)
     }
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/WeightedCrossEntropyLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/WeightedCrossEntropyLoss.java
index e10c5b73b..736352841 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/WeightedCrossEntropyLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/WeightedCrossEntropyLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss;
 
@@ -31,11 +35,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Weighted cross entropy loss with logits
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class WeightedCrossEntropyLoss extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/AbsoluteDifferenceLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/AbsoluteDifferenceLossBp.java
index 5e3802678..e256d23e5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/AbsoluteDifferenceLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/AbsoluteDifferenceLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -22,11 +26,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 
 import java.util.List;
 
-/**
- * Absolute difference loss backprop
- *
- * @author Alex Black
- */
 public class AbsoluteDifferenceLossBp extends BaseLossBp {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/BaseLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/BaseLossBp.java
index 1e931146e..5eb084259 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/BaseLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/BaseLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/CosineDistanceLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/CosineDistanceLossBp.java
index fca295702..299d91894 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/CosineDistanceLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/CosineDistanceLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -20,11 +24,6 @@ import org.nd4j.autodiff.loss.LossReduce;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * Cosine distance loss
- *
- * @author Alex Black
- */
 public class CosineDistanceLossBp extends BaseLossBp {
 
     private int dimension;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HingeLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HingeLossBp.java
index 8637c2fc7..102db81c6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HingeLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HingeLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -20,11 +24,6 @@ import org.nd4j.autodiff.loss.LossReduce;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * Hinge loss
- *
- * @author Alex Black
- */
 public class HingeLossBp extends BaseLossBp {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HuberLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HuberLossBp.java
index 6041d5fce..a63b72557 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HuberLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/HuberLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -21,11 +25,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.common.base.Preconditions;
 
-/**
- * Hinge loss
- *
- * @author Alex Black
- */
 public class HuberLossBp extends BaseLossBp {
     private double delta;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogLossBp.java
index e972d9bff..50c0f5a58 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -20,12 +24,6 @@ import org.nd4j.autodiff.loss.LossReduce;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * Binary log loss, or cross entropy loss:
- * {@code -1/numExamples * sum_i (labels[i] * log(predictions[i] + epsilon) + (1-labels[i]) * log(1-predictions[i] + epsilon))}
- *
- * @author Alex Black
- */
 public class LogLossBp extends BaseLossBp {
 
     private double epsilon;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogPoissonLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogPoissonLossBp.java
index 299aef89b..5e0d45ef2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogPoissonLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/LogPoissonLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -21,11 +25,6 @@ import org.nd4j.autodiff.loss.LossReduce;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * Log Poisson loss backprop
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class LogPoissonLossBp extends BaseLossBp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanPairwiseSquaredErrorLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanPairwiseSquaredErrorLossBp.java
index c03a0ce00..e1d3a7ca1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanPairwiseSquaredErrorLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanPairwiseSquaredErrorLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -22,11 +26,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 
 import java.util.List;
 
-/**
- * Mean Pairwise Squared Error Loss Backprop
- *
- * @author Paul Dubs
- */
 public class MeanPairwiseSquaredErrorLossBp extends BaseLossBp {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanSquaredErrorLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanSquaredErrorLossBp.java
index 9be5038de..e5383bd8c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanSquaredErrorLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/MeanSquaredErrorLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -20,11 +24,6 @@ import org.nd4j.autodiff.loss.LossReduce;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
-/**
- * Mean squared error loss
- *
- * @author Alex Black
- */
 public class MeanSquaredErrorLossBp extends BaseLossBp {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SigmoidCrossEntropyLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SigmoidCrossEntropyLossBp.java
index 7cd0f96ee..d0952eb43 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SigmoidCrossEntropyLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SigmoidCrossEntropyLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -22,11 +26,6 @@ import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 
 
-/**
- * Sigmoid cross entropy loss with logits
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class SigmoidCrossEntropyLossBp extends BaseLossBp {
     private double labelSmoothing = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyLossBp.java
index 983aff519..c419c65b5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -27,11 +31,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * Softmax cross entropy loss
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class SoftmaxCrossEntropyLossBp extends BaseLossBp {
     private double labelSmoothing = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyWithLogitsLossBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyWithLogitsLossBp.java
index cd283ee47..fbd84dced 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyWithLogitsLossBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SoftmaxCrossEntropyWithLogitsLossBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -26,11 +30,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * Softmax cross entropy loss with Logits
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class SoftmaxCrossEntropyWithLogitsLossBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SparseSoftmaxCrossEntropyLossWithLogitsBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SparseSoftmaxCrossEntropyLossWithLogitsBp.java
index e2f6171df..5d9389dd8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SparseSoftmaxCrossEntropyLossWithLogitsBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/loss/bp/SparseSoftmaxCrossEntropyLossWithLogitsBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.loss.bp;
 
@@ -27,13 +31,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Sparse softmax cross entropy loss with logits.
- * Applies softmax to the input, then calculates cross entropy loss. Labels should be in integer-index format,
- * not one-hot format
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class SparseSoftmaxCrossEntropyLossWithLogitsBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/BaseMetaOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/BaseMetaOp.java
index 48a59244f..d43a0215a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/BaseMetaOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/BaseMetaOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.meta;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.api.ops.grid.GridPointers;
 import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 import org.nd4j.linalg.api.ops.impl.grid.BaseGridOp;
 
-/**
- * @author raver119@gmail.com
- */
 public abstract class BaseMetaOp extends BaseGridOp implements MetaOp {
 
     public BaseMetaOp() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/InvertedPredicateMetaOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/InvertedPredicateMetaOp.java
index cf8fb023a..4f97a3874 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/InvertedPredicateMetaOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/InvertedPredicateMetaOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.meta;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 
 import java.util.List;
 
-/**
- * This MetaOp covers case, when Op A and Op B are both using linear memory access
- *
- * You're NOT supposed to directly call this op. Do it on your own risk, only if you're absolutely have to.
- *
- * @author raver119@gmail.com
- */
 public class InvertedPredicateMetaOp extends BaseMetaOp {
 
     public InvertedPredicateMetaOp() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PostulateMetaOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PostulateMetaOp.java
index 4afcb63d4..16fef3438 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PostulateMetaOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PostulateMetaOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.meta;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 
 import java.util.List;
 
-/**
- * You're NOT supposed to directly call this op. Do it on your own risk, only if you're absolutely have to.
- *
- * @author raver119@gmail.com
- */
 public class PostulateMetaOp extends BaseMetaOp {
 
     public PostulateMetaOp() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PredicateMetaOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PredicateMetaOp.java
index 0117214bd..8036cce5e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PredicateMetaOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/PredicateMetaOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.meta;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 
 import java.util.List;
 
-/**
- * This MetaOp covers case, when Op A and Op B are both using linear memory access
- *
- * You're NOT supposed to directly call this op. Do it on your own risk, only if you're absolutely have to.
- *
- * @author raver119@gmail.com
- */
 public class PredicateMetaOp extends BaseMetaOp {
 
     public PredicateMetaOp() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/ReduceMetaOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/ReduceMetaOp.java
index a702e5055..a5234b52a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/ReduceMetaOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/meta/ReduceMetaOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.meta;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.grid.OpDescriptor;
 
 import java.util.List;
 
-/**
- * This is special case PredicateOp, with opB being only either ReduceOp, Variance or Reduce3 op
- *
- * @author raver119@gmail.com
- */
 public class ReduceMetaOp extends BaseMetaOp {
 
     public ReduceMetaOp() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/CbowRound.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/CbowRound.java
index 904fb5dcc..763bd0f90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/CbowRound.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/CbowRound.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.nlp;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/SkipGramRound.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/SkipGramRound.java
index b104bbb89..a0506deeb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/SkipGramRound.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/nlp/SkipGramRound.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.nlp;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/HashCode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/HashCode.java
index 51b75c8c2..dd986cab3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/HashCode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/HashCode.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * This is hashCode op wrapper. Basically - simple parallel hash implementation.
- *
- * @author raver119@gmail.com
- */
 public class HashCode extends DynamicCustomOp {
     public HashCode() {
         //
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Mmul.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Mmul.java
index f778c552b..b37be57c0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Mmul.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Mmul.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
@@ -35,11 +39,6 @@ import org.tensorflow.framework.NodeDef;
 import java.lang.reflect.Field;
 import java.util.*;
 
-/**
- * Matrix multiplication/dot product
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public class Mmul extends DynamicCustomOp {
 
@@ -161,6 +160,8 @@ public class Mmul extends DynamicCustomOp {
 
     @Override
     public Map propertiesForFunction() {
+        if(mt == null)
+            return Collections.emptyMap();
         return mt.toProperties();
     }
 
@@ -174,7 +175,7 @@ public class Mmul extends DynamicCustomOp {
         return "mt";
     }
 
-    public void setPropertiesForFunction(Map properties){
+    public void setPropertiesForFunction(Map properties) {
         if(mt == null)
             mt = MMulTranspose.builder().build();
         mt.setProperties(properties);
@@ -213,7 +214,7 @@ public class Mmul extends DynamicCustomOp {
 
     @Override
     public String opName() {
-        return "mmul";
+        return "matmul";
     }
 
 
@@ -290,7 +291,7 @@ public class Mmul extends DynamicCustomOp {
         map.put("transposeA",transposeA);
         map.put("transposeB",transposeB);
 
-        for(String s : tensorflowNames()){
+        for(String s : tensorflowNames()) {
             ret.put(s,map);
         }
         ret.put(onnxName(),map);
@@ -299,8 +300,10 @@ public class Mmul extends DynamicCustomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
-        Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 inputs to mmul op, got %s", dataTypes);
+    public List calculateOutputDataTypes(List dataTypes) {
+       if(!dArguments.isEmpty())
+           return Collections.singletonList(dArguments.get(0));
+        Preconditions.checkState(dataTypes != null && dataTypes.size() >= 2, "Expected at least 2 inputs to mmul op, got %s", dataTypes);
         Preconditions.checkState(dataTypes.get(0).isFPType() && dataTypes.get(1).isFPType(), "Inputs to mmul op must both be a floating" +
                 "point type: got %s", dataTypes);
         return Collections.singletonList(dataTypes.get(0));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/MmulBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/MmulBp.java
index 5027872e3..58ed6f027 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/MmulBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/MmulBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
@@ -28,11 +32,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.List;
 
-/**
- * Matrix multiplication/dot product Backprop
- *
- * @author Paul Dubs
- */
 @EqualsAndHashCode
 public class MmulBp extends DynamicCustomOp {
 
@@ -90,7 +89,7 @@ public class MmulBp extends DynamicCustomOp {
 
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         Preconditions.checkState(dataTypes != null && dataTypes.size() == 3, "Expected exactly 3 inputs to matmul_bp op, got %s", dataTypes);
         Preconditions.checkState(dataTypes.get(0).isFPType() && dataTypes.get(1).isFPType() && dataTypes.get(0).isFPType(), "Inputs to matmul_bp op must both be a floating" +
                 "point type: got %s", dataTypes);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Moments.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Moments.java
index 82627898e..a6703125b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Moments.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/Moments.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/NormalizeMoments.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/NormalizeMoments.java
index 99e8df60b..7f699550e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/NormalizeMoments.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/NormalizeMoments.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/SufficientStatistics.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/SufficientStatistics.java
index 569d5ad3c..518f5d2c2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/SufficientStatistics.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/SufficientStatistics.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
 import java.util.*;
 
-/**
- * Sufficient statistics: returns 3 or 4 output arrays:
- * If shift is not provided: count, sum of elements, sum of squares
- * If shift is provided: count, sum of elements, sum of squares, shift
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class SufficientStatistics extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/TensorMmul.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/TensorMmul.java
index 8f69733ca..1fcfc96c6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/TensorMmul.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/TensorMmul.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/ZeroFraction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/ZeroFraction.java
index 8f99e599c..be6fedba7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/ZeroFraction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/ZeroFraction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Compute the fraction of zero elements
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class ZeroFraction extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/All.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/All.java
index f57abd381..ec75ca7b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/All.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/All.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bool;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseReduceBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Boolean AND accumulation
- *
- * @author raver119@gmail.com
- */
 public class All extends BaseReduceBoolOp {
     public All(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/Any.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/Any.java
index f576c81ef..a596ea81c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/Any.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/Any.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bool;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseReduceBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Boolean AND pairwise transform
- *
- * @author raver119@gmail.com
- */
 public class Any extends BaseReduceBoolOp {
     public Any(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsInf.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsInf.java
index 4ebb8701d..05edddfb7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsInf.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsInf.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bool;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseReduceBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * IsInf function
- *
- * @author raver119@gmail.com
-  */
 public class IsInf extends BaseReduceBoolOp {
     public IsInf(SameDiff sameDiff, SDVariable i_v, int[] dims) {
         super(sameDiff, i_v, dims);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsNaN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsNaN.java
index a8e4e06e9..b7ffd3d36 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsNaN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bool/IsNaN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bool;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseReduceBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * IsInf function
- *
- * @author raver119@gmail.com
-  */
 public class IsNaN extends BaseReduceBoolOp {
     public IsNaN(SameDiff sameDiff, SDVariable i_v, int[] dims) {
         super(sameDiff, i_v, dims);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/BaseReductionBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/BaseReductionBp.java
index 29c1ce0e0..ee447a335 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/BaseReductionBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/BaseReductionBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -28,9 +32,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * @author Alex Black
- */
 @NoArgsConstructor
 public abstract class BaseReductionBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumProdBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumProdBp.java
index 333122f82..8a4c87e15 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumProdBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumProdBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for cumulative product operation
- *
- * @author Alex Black
- */
-
 public class CumProdBp extends BaseReductionBp {
 
     private boolean exclusive;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumSumBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumSumBp.java
index 4f9d7ad58..9a95d2ad9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumSumBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/CumSumBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for cumulative sum operation
- *
- * @author Alex Black
- */
-
 public class CumSumBp extends BaseReductionBp {
 
     private boolean exclusive;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/DotBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/DotBp.java
index 2db5424fd..d35c30089 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/DotBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/DotBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -27,11 +31,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * Backprop op for Dot pairwise reduction operation
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class DotBp extends BaseReductionBp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MaxBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MaxBp.java
index 2eaccb41f..8fe6202bd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MaxBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MaxBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Max reduction operation
- *
- * @author Alex Black
- */
-
 public class MaxBp extends BaseReductionBp {
 
     public MaxBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MeanBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MeanBp.java
index 44c43655c..bfe991ead 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MeanBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MeanBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Mean reduction operation
- *
- * @author Alex Black
- */
-
 public class MeanBp extends BaseReductionBp {
     public MeanBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
         super(sameDiff, origInput, gradAtOutput, keepDims, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MinBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MinBp.java
index c88ccf582..93973d733 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MinBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/MinBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Min reduction operation
- *
- * @author Alex Black
- */
-
 public class MinBp extends BaseReductionBp {
 
     public MinBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm1Bp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm1Bp.java
index 3e1534650..887d5527c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm1Bp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm1Bp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Norm1 reduction operation
- *
- * @author Alex Black
- */
-
 public class Norm1Bp extends BaseReductionBp {
 
     public Norm1Bp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm2Bp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm2Bp.java
index b98037365..77410a722 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm2Bp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/Norm2Bp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Norm2 reduction operation
- *
- * @author Alex Black
- */
-
 public class Norm2Bp extends BaseReductionBp {
 
     public Norm2Bp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/NormMaxBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/NormMaxBp.java
index 1adfcf80d..0e887be92 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/NormMaxBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/NormMaxBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Norm Max reduction operation
- *
- * @author Alex Black
- */
-
 public class NormMaxBp extends BaseReductionBp {
 
     public NormMaxBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/PowBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/PowBp.java
index eedec9fe3..6d3ec437f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/PowBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/PowBp.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/ProdBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/ProdBp.java
index 2f94591aa..a7a452e4b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/ProdBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/ProdBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Product reduction operation
- *
- * @author Alex Black
- */
-
 public class ProdBp extends BaseReductionBp {
 
     public ProdBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SquaredNormBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SquaredNormBp.java
index aa7aceb9c..6859059e3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SquaredNormBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SquaredNormBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for squared norm (sum_i x_i^2) reduction operation
- *
- * @author Alex Black
- */
-
 public class SquaredNormBp extends BaseReductionBp {
 
     public SquaredNormBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/StandardDeviationBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/StandardDeviationBp.java
index 17561c298..6a5565f87 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/StandardDeviationBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/StandardDeviationBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for standard deviation reduction operation
- *
- * @author Alex Black
- */
-
 public class StandardDeviationBp extends BaseReductionBp {
 
     private boolean biasCorrected;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SumBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SumBp.java
index 97e64407e..7d2a99c0a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SumBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/SumBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -21,12 +25,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for Sum reduction operation
- *
- * @author Alex Black
- */
-
 public class SumBp extends BaseReductionBp {
 
     public SumBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/VarianceBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/VarianceBp.java
index 3ab61e96d..d46da98a1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/VarianceBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/bp/VarianceBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.bp;
 
@@ -22,11 +26,6 @@ import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * Backprop op for variance reduction operation
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class VarianceBp extends BaseReductionBp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/BatchMmul.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/BatchMmul.java
index 602f4fc05..ea312036d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/BatchMmul.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/BatchMmul.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.custom;
 
@@ -28,16 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.*;
 
-/**
- * Batched matrix multiplication.
- *
- * Matrix multiply a batch of matrices. First and second batch of matrices have to be arrays of same
- * length and each pair taken from these sets has to have dimensions (M, N) and (N, K),
- * respectively. The result of this operation will be a batch of multiplied matrices. The
- * result has the same length as both input batches and each output matrix is of shape (M, K).
- *
- * @author Max Pumperla
- */
 @EqualsAndHashCode
 public class BatchMmul extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/LogSumExp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/LogSumExp.java
index e9d39d1ba..a02e86560 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/LogSumExp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/LogSumExp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * LogSumExp - this op returns https://en.wikipedia.org/wiki/LogSumExp
- *
- * @author raver119@gmail.com
- */
 public class LogSumExp extends DynamicCustomOp {
 
     protected boolean keepDims;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/AMean.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/AMean.java
index e9481fa81..5f1139747 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/AMean.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/AMean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Calculate the absolute mean of the given vector
- *
- * @author raver119@gmail.com
- */
 public class  AMean extends BaseReduceFloatOp {
     public AMean(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Entropy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Entropy.java
index 913a573db..a08a61179 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Entropy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Entropy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- * -sum(x * log(x))
- *
- * @author raver119@gmail.com
- */
 public class Entropy extends BaseReduceFloatOp {
     public Entropy(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/LogEntropy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/LogEntropy.java
index 837d89c3a..eb47552ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/LogEntropy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/LogEntropy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.api.ops.BaseReduceFloatOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log Entropy Op - returns the log entropy (information gain, or uncertainty of a random variable).
- * log(-sum( x * log(x)))
- *
- * @author raver119@gmail.com
- */
 public class  LogEntropy extends BaseReduceFloatOp {
 
     public LogEntropy(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Mean.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Mean.java
index a4e27e42f..5042021b0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Mean.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Mean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp;
 
 import java.util.List;
 
-/**
- * Calculate the mean of the vector
- *
- * @author Adam Gibson
- */
 public class Mean extends BaseReduceFloatOp {
     public Mean(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
         super(sameDiff, i_v, keepDims, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm1.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm1.java
index e2b60654a..de18e16cc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm1.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm2.java
index 1d5ec4d23..255a604bb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/Norm2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 
 import java.util.List;
 
-/**
- * Sum of squared values (real)
- * Sum of squared complex modulus (complex)
- *
- * @author Adam Gibson
- */
 public class Norm2 extends BaseReduceFloatOp {
     public Norm2(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
         super(sameDiff, i_v, dimensions, keepDims);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/NormMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/NormMax.java
index 67a1279d9..fd4fca38f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/NormMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/NormMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/ShannonEntropy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/ShannonEntropy.java
index 963224ed8..b7093e108 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/ShannonEntropy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/ShannonEntropy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- *
- * @author raver119@gmail.com
- */
 public class ShannonEntropy extends BaseReduceFloatOp {
     public ShannonEntropy(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/SquaredNorm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/SquaredNorm.java
index 42c486f4d..1d28502b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/SquaredNorm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/floating/SquaredNorm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.floating;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp;
 import java.util.List;
 
 
-/**
- * Squared norm (sum_i x_i^2) reduction operation
- *
- * @author Alex Black
- */
-
 public class SquaredNorm extends BaseReduceFloatOp {
     public SquaredNorm(SameDiff sameDiff, SDVariable input, boolean keepDims, int... dimensions) {
         super(sameDiff, input, keepDims, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountNonZero.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountNonZero.java
index cb1de4765..221989a75 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountNonZero.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountNonZero.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.longer;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseReduceLongOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Count the number of non-zero elements
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class CountNonZero extends BaseReduceLongOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountZero.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountZero.java
index 27476cabc..16d875030 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountZero.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/CountZero.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.longer;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseReduceLongOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Count the number of zero elements
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class CountZero extends BaseReduceLongOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/MatchCondition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/MatchCondition.java
index f2f097aa9..451c36bd1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/MatchCondition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/longer/MatchCondition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.longer;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.indexing.conditions.Condition;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This operation returns number of elements matching specified condition
- *
- * @author raver119@gmail.com
- */
 public class MatchCondition extends BaseReduceLongOp {
 
     private double compare;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMax.java
index cadc77d4f..a4072aead 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Calculate the absolute max over a vector
- *
- * @author raver119@gmail.com
- */
 public class AMax extends BaseReduceSameOp {
     public AMax(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMin.java
index a01c9c1f5..7e4f520ac 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/AMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Calculate the absolute minimum over a vector
- *
- * @author raver119@gmail.com
- */
 public class AMin extends BaseReduceSameOp {
     public AMin(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/ASum.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/ASum.java
index 1a15c32ac..06058ca57 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/ASum.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/ASum.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Absolute sum the components
- *
- * @author raver119@gmail.com
- */
 public class ASum extends BaseReduceSameOp {
     public ASum(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Max.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Max.java
index e7699948b..cb96cec39 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Max.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Max.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp;
 
 import java.util.List;
 
-/**
- * Calculate the max over an array
- *
- * @author Adam Gibson
- */
 public class Max extends BaseReduceSameOp {
     public Max(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
         super(sameDiff, i_v, dimensions, keepDims);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Min.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Min.java
index 8cb66895d..25da6e263 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Min.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Min.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp;
 
 import java.util.List;
 
-/**
- * Calculate the min over an array
- *
- * @author Adam Gibson
- */
 public class Min extends BaseReduceSameOp {
     public Min(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
         super(sameDiff, i_v, dimensions, keepDims);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Prod.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Prod.java
index 515cf404a..3033fe80f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Prod.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Prod.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp;
 
 import java.util.List;
 
-/**
- * Prod the components
- *
- * @author Adam Gibson
- */
 public class Prod extends BaseReduceSameOp {
     public Prod(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
         super(sameDiff, i_v, dimensions, keepDims);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Sum.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Sum.java
index 5daefc893..bf92c7960 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Sum.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/same/Sum.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce.same;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp;
 
 import java.util.List;
 
-/**
- * Sum the components
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class Sum extends BaseReduceSameOp {
     public Sum(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/BaseReduce3Op.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/BaseReduce3Op.java
index 25f5cf274..fb5c498a7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/BaseReduce3Op.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/BaseReduce3Op.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Manhattan distance
- *
- * @author Adam Gibson
- */
 public abstract class BaseReduce3Op extends BaseReduceFloatOp {
     public BaseReduce3Op(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
         super(sameDiff, i_v, dimensions);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineDistance.java
index a5aab468b..1fa592c06 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineDistance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -23,14 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Cosine distance
- * Note that you need to initialize
- * a scaling constant equal to the norm2 of the
- * vector
- *
- * @author raver119@gmail.com
- */
 public class CosineDistance extends BaseReduce3Op {
 
     public CosineDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineSimilarity.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineSimilarity.java
index b6edbe6fa..ef6f47654 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineSimilarity.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/CosineSimilarity.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -25,14 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Cosine similarity
- * Note that you need to initialize
- * a scaling constant equal to the norm2 of the
- * vector
- *
- * @author Adam Gibson
- */
 public class CosineSimilarity extends BaseReduce3Op {
     public static final String OP_NAME = "cosinesimilarity";
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/Dot.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/Dot.java
index 1ddfaefbc..696ec963b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/Dot.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/Dot.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp;
 
 import java.util.List;
 
-/**
- * Dot product.
- *
- * @author Adam Gibson
- */
 public class Dot extends BaseReduce3Op {
 
     public Dot(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EqualsWithEps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EqualsWithEps.java
index d38c78b2b..154a8661a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EqualsWithEps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EqualsWithEps.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Operation for fast INDArrays equality checks
- *
- * @author raver119@gmail.com
- */
 public class EqualsWithEps extends BaseReduce3Op {
     private double eps;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EuclideanDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EuclideanDistance.java
index 97ccd81e6..e5e8cf2b7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EuclideanDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/EuclideanDistance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Euclidean distance
- *
- * @author Adam Gibson
- */
 public class EuclideanDistance extends BaseReduce3Op {
     public static final String OP_NAME = "euclidean";
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/HammingDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/HammingDistance.java
index 11635dafb..5a8985166 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/HammingDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/HammingDistance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Hamming distance (simple)
- *
- * @author raver119@gmail.com
- */
 public class HammingDistance extends BaseReduce3Op {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/JaccardDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/JaccardDistance.java
index c520a7c18..46c1e3729 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/JaccardDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/JaccardDistance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Jaccard distance (dissimilarity)
- *
- * @author raver119@gmail.com
- */
 public class JaccardDistance extends BaseReduce3Op {
 
     public JaccardDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/ManhattanDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/ManhattanDistance.java
index 9fdea3afb..6435d239d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/ManhattanDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce3/ManhattanDistance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.reduce3;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Manhattan distance
- *
- * @author Adam Gibson
- */
 public class ManhattanDistance extends BaseReduce3Op {
     public static final String OP_NAME = "manhattan";
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LeakyReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LeakyReLU.java
index 02dd6a51f..c5f436094 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LeakyReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LeakyReLU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -28,17 +32,6 @@ import org.tensorflow.framework.AttrValue;
 import org.tensorflow.framework.GraphDef;
 import org.tensorflow.framework.NodeDef;
 
-/**
- * Leaky Rectified linear unit. Default alpha=0.01, cutoff=0
        
- * Out(x) = alpha*x if x<0
        
- * Out(x) = x if x >= 0
        
- * Leaky ReLU may avoid zero gradient "dying ReLU" problem by having non-zero
- * gradient below 0.
        
- * See for example https://arxiv.org/abs/1505.00853 for a comparison of
- * ReLU variants.
- *
- * @author Alex Black
- */
 public class LeakyReLU extends BaseScalarOp {
     public static final double DEFAULT_ALPHA = 0.01;
     private double alpha = DEFAULT_ALPHA;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LogX.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LogX.java
index db3d1160c..27c604a79 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LogX.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/LogX.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log on arbitrary base op
- *
- * @author raver119@gmail.com
- */
 public class LogX extends BaseScalarOp {
     private double base;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PRelu.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PRelu.java
index 502a3a390..be975312e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PRelu.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PRelu.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Pow.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Pow.java
index 6467278e7..5709321c1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Pow.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Pow.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Pow function
- *
- * @author Adam Gibson
- */
 public class Pow extends BaseScalarOp {
     private double pow;
 
@@ -82,11 +81,11 @@ public class Pow extends BaseScalarOp {
 
     @Override
     public String tensorflowName() {
-        throw new NoOpNameFoundException("No TensorFlow op found for " + getClass().getSimpleName());
+        return "Pow";
     }
 
     @Override
-    public List doDiff(List i_v1) {        
+    public List doDiff(List i_v1) {
         SDVariable g = new PowDerivative(sameDiff, arg(), false, this.pow).outputVariable().mul(i_v1.get(0));
         return Collections.singletonList(g);
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PowDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PowDerivative.java
index bab137433..329f80635 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PowDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/PowDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 
 import java.util.List;
 
-/**
- * Pow derivative
- *
- * z = n * x ^ (n-1)
- *
- * @author raver119@gmail.com
- */
 public class PowDerivative extends BaseScalarOp {
     private double pow;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinear.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinear.java
index c38821700..72d6443b9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinear.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinear.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp;
 
 import java.util.List;
 
-/**
- * Rectified linear units
- *
- * @author Adam Gibson
- */
 public class RectifiedLinear extends BaseScalarOp {
     public RectifiedLinear(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double cutoff) {
         super(sameDiff, i_v, cutoff, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinearDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinearDerivative.java
index 9136234df..1c90b04b1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinearDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/RectifiedLinearDerivative.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.scalar;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Relu6.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Relu6.java
index b07d94ca1..4d56b5217 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Relu6.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Relu6.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -32,11 +36,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Rectified linear unit 6, i.e. min(max(input, cutoff), 6), where cutoff can be chosen.
- *
- * @author Max Pumperla
- */
 public class Relu6 extends BaseScalarOp {
     public Relu6(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double cutoff) {
         super(sameDiff, i_v, cutoff, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ReplaceNans.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ReplaceNans.java
index 152fd0f96..0cd7bd0ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ReplaceNans.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ReplaceNans.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 
 import java.util.List;
 
-/**
- * Element-wise "Replace NaN" implementation as Op
- *
- * @author raver119@gmail.com
- */
 public class ReplaceNans extends BaseScalarOp {
 
     private double set;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarAdd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarAdd.java
index 808c48331..2ddeef758 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarAdd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarAdd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar addition
- *
- * @author Adam Gibson
- */
 public class ScalarAdd extends BaseScalarOp {
 
     public ScalarAdd() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarDivision.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarDivision.java
index 18baada7d..12c1e7abc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarDivision.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarDivision.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Scalar division
- *
- * @author Adam Gibson
- */
 public class ScalarDivision extends BaseScalarOp {
     public ScalarDivision() {
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarFMod.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarFMod.java
index 41d585033..3bf120490 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarFMod.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarFMod.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 
 import java.util.List;
 
-/**
- * Scalar floating-point remainder (fmod aka 'floormod')
- *
- * @author Adam Gibson
- */
 public class ScalarFMod extends BaseScalarOp {
     public ScalarFMod() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMax.java
index d9a928d02..b00dadeb9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar max operation.
- * Returns the max of an element
- * in the ndarray of the specified number.
- *
- * @author Adam Gibson
- */
 public class ScalarMax extends BaseScalarOp {
     public ScalarMax() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMin.java
index ce9e746fa..635aa40af 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar max operation.
- * Returns the max of an element
- * in the ndarray of the specified number.
- *
- * @author Adam Gibson
- */
 public class ScalarMin extends BaseScalarOp {
     public ScalarMin() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMultiplication.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMultiplication.java
index ba8c1e588..095419c87 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMultiplication.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarMultiplication.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar multiplication
- *
- * @author Adam Gibson
- */
 public class ScalarMultiplication extends BaseScalarOp {
 
     public ScalarMultiplication() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarRemainder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarRemainder.java
index 140cd056a..1d03b9cc0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarRemainder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarRemainder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 
 import java.util.List;
 
-/**
- * Scalar floating-point remainder
- *
- * @author Adam Gibson
- */
 public class ScalarRemainder extends BaseScalarOp {
     public ScalarRemainder() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseDivision.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseDivision.java
index d2a4f5703..91e6bf02e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseDivision.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseDivision.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar reverse division
- *
- * @author Adam Gibson
- */
 public class ScalarReverseDivision extends BaseScalarOp {
 
     public ScalarReverseDivision() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseSubtraction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseSubtraction.java
index 48a6eacfb..07b05a3f6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseSubtraction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarReverseSubtraction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar reverse subtraction
- *
- * @author Adam Gibson
- */
 public class ScalarReverseSubtraction extends BaseScalarOp {
 
     public ScalarReverseSubtraction() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSet.java
index d3a8c7f67..835fdb482 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Scalar max operation.
- * Returns the max of an element
- * in the ndarray of the specified number.
- *
- * @author Adam Gibson
- */
 public class ScalarSet extends BaseScalarOp {
     public ScalarSet() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSubtraction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSubtraction.java
index e3178d690..6ebcb274f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSubtraction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/ScalarSubtraction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Scalar subtraction
- *
- * @author Adam Gibson
- */
 public class ScalarSubtraction extends BaseScalarOp {
 
     public ScalarSubtraction() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Step.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Step.java
index 45ffa7a12..3119ad726 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Step.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/Step.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Unit step function.
- * f(x) = 1 if x > cutoff; 0 otherwise
- * cutoff = 0.0 usually.
- */
 public class Step extends BaseScalarOp {
     private final double cutoff;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarAnd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarAnd.java
index 3fdfa5a98..c8434bb1e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarAnd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarAnd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEps.java
index ba93609c1..c3e4cc306 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEps.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEquals.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEquals.java
index ffd6352dc..095420c5a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEquals.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarEquals.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThan.java
index d95b12306..4a19f53cc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThanOrEqual.java
index 0ac5518cd..5e183ddbc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarGreaterThanOrEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThan.java
index a36770a4f..393728d06 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThanOrEqual.java
index b46aa6663..3dce29315 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarLessThanOrEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNot.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNot.java
index 18b33dbea..f1f0e78f1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNot.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNot.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNotEquals.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNotEquals.java
index 2b2f75a78..21a6e14c4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNotEquals.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarNotEquals.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarOr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarOr.java
index 79d850153..7a3fb3ab7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarOr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarOr.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarSetValue.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarSetValue.java
index 0f7fdbe47..cc488277e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarSetValue.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarSetValue.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Scalar value set operation.
- * Anything less than the scalar value will
- * set the current element to be that value.
- *
- * @author Adam Gibson
- */
 public class ScalarSetValue extends BaseScalarOp {
     public ScalarSetValue(SameDiff sameDiff, SDVariable i_v, Number scalar) {
         super(sameDiff, i_v, scalar);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarXor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarXor.java
index 1d10cb00e..54d368bed 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarXor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scalar/comparison/ScalarXor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scalar.comparison;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterAdd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterAdd.java
index b43071af3..a5dffd37d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterAdd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterAdd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -35,10 +39,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Created by farizrahman4u on 3/23/18.
- */
-
 public class ScatterAdd extends DynamicCustomOp {
 
     public ScatterAdd(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterDiv.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterDiv.java
index 7ef3109d7..ae7c12d8b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterDiv.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterDiv.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -35,10 +39,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Created by farizrahman4u on 3/23/18.
- */
-
 public class ScatterDiv extends DynamicCustomOp {
 
     public ScatterDiv(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMax.java
index 7808ef2b3..b035772db 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -32,11 +36,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * @author raver119@protonmail.com
- * @author Alex Black
- */
-
 public class ScatterMax extends DynamicCustomOp {
 
     public ScatterMax(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMin.java
index a063eba38..77ecd2404 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -32,11 +36,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * @author raver119@protonmail.com
- * @author Alex Black
- */
-
 public class ScatterMin extends DynamicCustomOp {
 
     public ScatterMin(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMul.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMul.java
index 1c6773eb5..1b2a458b0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMul.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterMul.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -35,10 +39,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Created by farizrahman4u on 3/23/18.
- */
-
 public class ScatterMul extends DynamicCustomOp {
 
     public ScatterMul(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNd.java
index f11315b6a..e680313b2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -32,10 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Scatter ND operation
- * @author Alex Black
- */
 public class ScatterNd extends DynamicCustomOp {
 
     public ScatterNd(SameDiff sameDiff, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdAdd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdAdd.java
index e0cf2ff7b..781382d2b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdAdd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdAdd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -32,10 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Scatter ND add operation
- * @author Alex Black
- */
 public class ScatterNdAdd extends DynamicCustomOp {
 
     public ScatterNdAdd(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdSub.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdSub.java
index 831f37f35..a7673f74f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdSub.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdSub.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -32,10 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Scatter ND subtract operation
- * @author Alex Black
- */
 public class ScatterNdSub extends DynamicCustomOp {
 
     public ScatterNdSub(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdUpdate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdUpdate.java
index 8a0a116b9..aec522998 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdUpdate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterNdUpdate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -32,10 +36,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Scatter ND add operation
- * @author Alex Black
- */
 public class ScatterNdUpdate extends DynamicCustomOp {
 
     public ScatterNdUpdate(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterSub.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterSub.java
index 7f7159b2f..37cdbb495 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterSub.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterSub.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -34,10 +38,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Created by farizrahman4u on 3/23/18.
- */
-
 public class ScatterSub extends DynamicCustomOp {
 
     public ScatterSub(SameDiff sameDiff, SDVariable ref, SDVariable indices, SDVariable updates) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterUpdate.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterUpdate.java
index d3f746c31..59bd0a744 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterUpdate.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/scatter/ScatterUpdate.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.scatter;
 
@@ -33,12 +37,6 @@ import java.util.List;
 import java.util.Map;
 
 
-/**
- * Scatter update op
- *
- * @author Alex Black
- */
-
 public class ScatterUpdate extends DynamicCustomOp {
     public static enum UpdateOp {
         ADD,
@@ -62,7 +60,7 @@ public class ScatterUpdate extends DynamicCustomOp {
 
     @Override
     public String opName() {
-        return "scatter_upd";
+        return "scatter_update";
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ApplyGradientDescent.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ApplyGradientDescent.java
index ef645bda8..62d1878af 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ApplyGradientDescent.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ApplyGradientDescent.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -28,11 +32,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Reshape function
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class ApplyGradientDescent extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/BroadcastDynamicShape.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/BroadcastDynamicShape.java
index e23ea2f5b..6d2cead0c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/BroadcastDynamicShape.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/BroadcastDynamicShape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Broadcast dynamic shape function
- *
- * @author Alex Black
- */
 public class BroadcastDynamicShape extends DynamicCustomOp {
     public BroadcastDynamicShape(SameDiff sameDiff, SDVariable in, SDVariable shape) {
         super(null,sameDiff,new SDVariable[]{in, shape});
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Concat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Concat.java
index 1db208bb6..4b4b71d49 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Concat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Concat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -142,12 +146,17 @@ public class Concat extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List dataTypes){
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
+
         DataType first = dataTypes.get(0);
 
-        for( int i=1; i
- * A simple special case of this is returning the diagonal of a
- * matrix as vector.
- *
- * @author Max Pumperla
- */
 public class DiagPart extends DynamicCustomOp {
 
     public DiagPart() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ExpandDims.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ExpandDims.java
index cef44a8c4..179565dfe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ExpandDims.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ExpandDims.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -34,11 +38,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * ExpandDims function
- *
- * @author Adam Gibson
- */
 public class ExpandDims extends DynamicCustomOp {
     private int jaxis;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Eye.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Eye.java
index 1e8409244..d52e802d2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Eye.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Eye.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -29,24 +33,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Computes a batch of identity matrices of shape (numRows, numCols), returns a single tensor.
- * This batch of identity matrices can be specified as list of integers.
- *
- * Example:
- *
- * batchShape: [3,3]
        
- * numRows: 2
        
- * numCols: 4
        
- * 
        
- * returns a tensor of shape (3, 3, 2, 4) that consists of 3 * 3 batches of (2,4)-shaped identity matrices:
        
- * 
        
- *      1 0 0 0
        
- *      0 1 0 0
        
- *
- *
- * @author Max Pumperla
- */
 public class Eye extends DynamicCustomOp {
     public static final DataType DEFAULT_DTYPE = DataType.FLOAT;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Flatten2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Flatten2D.java
new file mode 100644
index 000000000..42e655468
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Flatten2D.java
@@ -0,0 +1,120 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.linalg.api.ops.impl.shape;
+
+import lombok.NoArgsConstructor;
+import lombok.NonNull;
+import lombok.extern.slf4j.Slf4j;
+import lombok.val;
+import onnx.Onnx;
+import org.nd4j.autodiff.samediff.SDVariable;
+import org.nd4j.autodiff.samediff.SameDiff;
+import org.nd4j.imports.NoOpNameFoundException;
+import org.nd4j.imports.descriptors.properties.PropertyMapping;
+import org.nd4j.linalg.api.buffer.DataType;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.api.ops.DynamicCustomOp;
+import org.tensorflow.framework.AttrValue;
+import org.tensorflow.framework.GraphDef;
+import org.tensorflow.framework.NodeDef;
+
+import java.util.*;
+
+@Slf4j
+@NoArgsConstructor
+public class Flatten2D extends DynamicCustomOp {
+
+    private long flattenDimension;
+
+    public Flatten2D(SameDiff sameDiff, SDVariable i_v, long axis) {
+        super(null, sameDiff, new SDVariable[]{i_v});
+        this.flattenDimension = axis;
+        addIArgument(axis);
+    }
+
+
+
+    public Flatten2D(INDArray in, long axis) {
+        super(new INDArray[]{in}, null);
+        this.flattenDimension = axis;
+        addIArgument(axis);
+    }
+
+
+
+    @Override
+    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
+    }
+
+    @Override
+    public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
+
+    }
+
+
+    @Override
+    public Map> mappingsForFunction() {
+        Map> ret = new HashMap<>();
+        Map map = new HashMap<>();
+
+        val axisMapping = PropertyMapping.builder()
+                .onnxAttrName("axis")
+                .propertyNames(new String[]{"axis"})
+                .build();
+
+        map.put("axis", axisMapping);
+
+        ret.put(onnxName(), map);
+
+        return ret;
+    }
+
+
+    @Override
+    public String opName() {
+        return "flatten_2d";
+    }
+
+    @Override
+    public String onnxName() {
+        return "Flatten";
+    }
+
+    @Override
+    public String tensorflowName() {
+        throw new NoOpNameFoundException("No op name found for tensorflow!");
+    }
+
+
+    @Override
+    public List doDiff(List i_v) {
+        return Arrays.asList(new Flatten2D(sameDiff,i_v.get(0),flattenDimension).outputVariables());
+    }
+
+    @Override
+    public List calculateOutputDataTypes(List dataTypes) {
+        if(!dArguments.isEmpty())
+            return Collections.singletonList(dArguments.get(0));
+        //Output type is always same as input type
+        return Collections.singletonList(dataTypes.get(0));
+    }
+
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Gather.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Gather.java
index b4f690ba5..546693fce 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Gather.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Gather.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/GatherNd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/GatherNd.java
index ff38c382e..0b8169d8c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/GatherNd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/GatherNd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Linspace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Linspace.java
index a08b30f74..e179b56af 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Linspace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Linspace.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -34,10 +37,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Linspace op - with dynamic (SDVariable) args
- * @author Alex Black
- */
 public class Linspace extends DynamicCustomOp {
 
     private DataType dataType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeAvg.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeAvg.java
index 1a678e14c..ec6887f7d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeAvg.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeAvg.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMax.java
index 546299af9..270bdca1d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMaxIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMaxIndex.java
index ca6345efd..49c34b60d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMaxIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeMaxIndex.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.shape;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeSum.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeSum.java
index 9f0a5df90..fb819b032 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeSum.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MergeSum.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MeshGrid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MeshGrid.java
index ce83a808c..0d06149e8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MeshGrid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/MeshGrid.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OneHot.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OneHot.java
index 8806133d7..abe4eb53f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OneHot.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OneHot.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -32,9 +36,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Created by susaneraly on 3/14/18.
- */
 public class OneHot extends DynamicCustomOp {
     public static final DataType DEFAULT_DTYPE = DataType.FLOAT;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OnesLike.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OnesLike.java
index ee9c9619c..80ea9ac62 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OnesLike.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/OnesLike.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -35,11 +39,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * OnesLike function - gives an output array with all values/entries being 1, with the same shape as the input.
- *
- * @author Alex Black
- */
 @Slf4j
 public class OnesLike extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ParallelStack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ParallelStack.java
index 86fd8dc13..6b6af04dc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ParallelStack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ParallelStack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -31,11 +35,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Stacks n input tensors of same shape to tensor of rank n + 1.
- *
- * @author farizrahman4u@gmail.com
- */
 public class ParallelStack extends DynamicCustomOp {
 
     public ParallelStack() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Permute.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Permute.java
index 082257c16..e60b7eebe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Permute.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Permute.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Permute function
- *
- * @author Adam Gibson
- */
 public class Permute extends Transpose {
 
     private int[] reverseDims;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Rank.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Rank.java
index 7344fb2d1..51bf9d32e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Rank.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Rank.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
 import java.util.*;
 
-/**
- * Rank function
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class Rank extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ReductionShape.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ReductionShape.java
index 77e77e3b7..0a125e6c4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ReductionShape.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ReductionShape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Repeat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Repeat.java
index 310e90352..9e18a18fa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Repeat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Repeat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -32,11 +36,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Repeat function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class Repeat extends DynamicCustomOp {
     private int jaxis;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Reshape.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Reshape.java
index 47960fad3..e0cff5ab3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Reshape.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Reshape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -36,11 +40,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Reshape function
- *
- * @author Adam Gibson
- */
 @Slf4j
 @NoArgsConstructor
 public class Reshape extends DynamicCustomOp {
@@ -50,6 +49,11 @@ public class Reshape extends DynamicCustomOp {
     public Reshape(SameDiff sameDiff, SDVariable i_v, long[] shape) {
         super(null, sameDiff, new SDVariable[]{i_v});
         this.shape = shape;
+        //c ordering: see (char) 99 for c ordering and (char) 'f' is 102
+        //note it has to be negative for the long array case only
+        //to flag the difference between an ordering being specified
+        //and a dimension.
+        addIArgument(-99);
         addIArgument(shape);
     }
 
@@ -57,14 +61,19 @@ public class Reshape extends DynamicCustomOp {
         super(null, sameDiff, new SDVariable[]{i_v, shape});
     }
 
-    public Reshape(INDArray in, long... shape){
+    public Reshape(INDArray in, long... shape) {
         super(new INDArray[]{in}, null);
         this.shape = shape;
+        //c ordering: see (char) 99 for c ordering and (char) 'f' is 102
+        //note it has to be negative for the long array case only
+        //to flag the difference between an ordering being specified
+        //and a dimension.
+        addIArgument(-99);
         addIArgument(shape);
     }
 
 
-    public Reshape(@NonNull INDArray in, @NonNull INDArray shape, INDArray out){
+    public Reshape(@NonNull INDArray in, @NonNull INDArray shape, INDArray out) {
         super(null, new INDArray[]{in, shape}, wrapOrNull(out), null, (List)null);
     }
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SequenceMask.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SequenceMask.java
index 115be9ada..725458a97 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SequenceMask.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SequenceMask.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -33,9 +37,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Created by farizrahman4u on 3/28/18.
- */
 @NoArgsConstructor
 public class SequenceMask extends DynamicCustomOp {
     public static final DataType DEFAULT_DTYPE = DataType.BOOL;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Shape.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Shape.java
index 2c379b13f..78a744cc6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Shape.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Shape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ShapeN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ShapeN.java
index d9c4c4578..38ac5b850 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ShapeN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ShapeN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -30,11 +34,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Returns the shape of N input array as N output arrays
- *
- * @author Alex Black
- */
 public class ShapeN extends DynamicCustomOp {
 
     protected DataType dataType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Size.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Size.java
index a4130f99b..d21c91dbd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Size.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Size.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -33,11 +37,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Returns the size of the input as a rank 0 array
- *
- * @author Alex Black
- */
 public class Size extends DynamicCustomOp {
 
     protected DataType dataType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SizeAt.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SizeAt.java
index 28cc69dd1..23178fb64 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SizeAt.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/SizeAt.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -28,11 +32,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Returns the size of the input along given dimension as a rank 0 array
- *
- * @author raver119@protonmail.com
- */
 public class SizeAt extends DynamicCustomOp {
 
     public SizeAt() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Slice.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Slice.java
index 9286af7be..5d2291306 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Slice.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Slice.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp;
 
 import java.util.*;
 
-/**
- * Slice function
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class Slice extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Split.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Split.java
index 105e866a5..f6856c0e8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Split.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Split.java
@@ -1,27 +1,34 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
+import lombok.NonNull;
 import lombok.val;
+import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.imports.descriptors.properties.PropertyMapping;
 import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
 import org.nd4j.linalg.api.buffer.DataType;
+import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.tensorflow.framework.AttrValue;
 import org.tensorflow.framework.GraphDef;
@@ -37,6 +44,20 @@ public class Split extends DynamicCustomOp {
     private int numSplit;
     private int splitDim;
 
+    public Split() {
+    }
+
+    public Split(SameDiff sameDiff, SDVariable input, int numSplit, int splitDim) {
+        super(null,sameDiff,new SDVariable[]{input});
+        this.numSplit = numSplit;
+        this.splitDim = splitDim;
+        addIArgument(numSplit,splitDim);
+    }
+
+    public Split(@NonNull INDArray in, INDArray out) {
+        super(null, new INDArray[]{in}, wrapOrNull(out), null, (List)null);
+    }
+
 
     @Override
     public String opName() {
@@ -90,10 +111,10 @@ public class Split extends DynamicCustomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         Preconditions.checkState(dataTypes != null && !dataTypes.isEmpty(), "No datatypes were provided for %s: %s", getClass(), dataTypes);
         DataType dt;
-        if(dataTypes.size() == 1){
+        if(dataTypes.size() == 1) {
             dt = dataTypes.get(0);
         } else {
             //Order seems to usually be axis first for TF import? libnd4j supports both...
@@ -105,7 +126,7 @@ public class Split extends DynamicCustomOp {
         }
         //Output types are same as first input type - just numSplits of them...
         List out = new ArrayList<>(numSplit);
-        for( int i=0; i calculateOutputDataTypes(List dataTypes){
         //Output types are same as first input type - just numSplits of them...
         List out = new ArrayList<>(numSplit);
-        for( int i=0; i calculateOutputDataTypes(List dataTypes){
-        Preconditions.checkState(dataTypes.size() == 1, "Expected list with exactly 1 datatype for %s, got %s", getClass(), dataTypes);
+        Preconditions.checkState(!dataTypes.isEmpty(), "Expected list with at least 1 datatype for %s, got %s", getClass(), dataTypes);
         //Output type is same as input type
-        return dataTypes;
+        return Arrays.asList(dataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Stack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Stack.java
index d49d8eb4c..25bf1b174 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Stack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Stack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -33,11 +37,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Stack operation. Stacks n input tensors along provided axis.
- *
- * @author raver119@gmail.com
- */
 public class Stack extends DynamicCustomOp {
     protected int jaxis;
 
@@ -135,7 +134,7 @@ public class Stack extends DynamicCustomOp {
     @Override
     public List calculateOutputDataTypes(List dataTypes){
         DataType first = dataTypes.get(0);
-        for( int i=1; i calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 4),
                 "Expected 1 or 4 input datatypes for %s, got %s", getClass(), dataTypes);
         //Output type is same as input type. 1 or 4 depending on whether using iargs or arrays (for TF import etc)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Tile.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Tile.java
index 3eb6c0fe3..824043551 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Tile.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Tile.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -34,11 +38,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Tile function
- *
- * @author Adam Gibson
- */
 public class Tile extends DynamicCustomOp {
 
     private int[] jaxis;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Transpose.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Transpose.java
index 1af3fcda3..21a4fc2d7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Transpose.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Transpose.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -35,11 +39,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Transpose function
- *
- * @author Adam Gibson
- */
 public class Transpose extends DynamicCustomOp {
     protected int[] permuteDims;
 
@@ -166,6 +165,8 @@ public class Transpose extends DynamicCustomOp {
     public List calculateOutputDataTypes(List dataTypes){
         Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 2),
                 "Expected list with 1 or 2 datatype for %s, got %s", getClass(), dataTypes);
+        if(dArguments != null && !dArguments.isEmpty())
+            return Collections.singletonList(dArguments.get(0));
         //Output type is same as input type. Second input is permute dimensions as array
         return Collections.singletonList(dataTypes.get(0));
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Unstack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Unstack.java
index dc6ffcea2..bce97eaa8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Unstack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/Unstack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -33,11 +37,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Unstack op conversion
- *
- * @author raver119@gmail.com
- */
 public class Unstack extends DynamicCustomOp {
 
     // TODO: libnd4j currently doesn't support "num", number of outputs is inferred.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ZerosLike.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ZerosLike.java
index ce004f704..5e68412d5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ZerosLike.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/ZerosLike.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape;
 
@@ -34,11 +38,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Reshape function
- *
- * @author Adam Gibson
- */
 @Slf4j
 @NoArgsConstructor
 public class ZerosLike extends DynamicCustomOp {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/ConcatBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/ConcatBp.java
index 84ba47a97..18c2ccd39 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/ConcatBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/ConcatBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.bp;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.Op;
 
 import java.util.*;
 
-/**
- * Backprop op for concat
- *
- * @author Alex Black
- */
 @Slf4j
 public class ConcatBp extends DynamicCustomOp {
     private int concatDimension;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeAvgBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeAvgBp.java
index 54d39ce89..620e97929 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeAvgBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeAvgBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.shape.bp;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeMaxBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeMaxBp.java
index 792036b76..eb5863431 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeMaxBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/MergeMaxBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.shape.bp;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/SliceBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/SliceBp.java
index 8dd9cada8..5d6f5759b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/SliceBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/SliceBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.bp;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
 import java.util.*;
 
-/**
- * Slice backprop function
- *
- * @author Alex Black
- */
 @Slf4j
 public class SliceBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/StridedSliceBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/StridedSliceBp.java
index a44ab3d7c..8f12259ac 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/StridedSliceBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/StridedSliceBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.bp;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Strided Slice backprop function
- *
- * @author Alex Black
- */
 @Slf4j
 public class StridedSliceBp extends DynamicCustomOp {
     private long[] begin;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/TileBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/TileBp.java
index b453d79fb..70bb3fa55 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/TileBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/bp/TileBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.bp;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
 import java.util.*;
 
-/**
- * Tile backprop function
- *
- * @author Alex Black
- */
 public class TileBp extends DynamicCustomOp {
 
     private int[] repeat;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/BaseTensorOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/BaseTensorOp.java
index 6f55fc9ec..64ad49e16 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/BaseTensorOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/BaseTensorOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -81,7 +85,7 @@ public abstract class BaseTensorOp extends DynamicCustomOp {
     }
 
     @Override
-    public int getNumOutputs(){
+    public int getNumOutputs() {
         //1 output in allay cases - sometimes just a dummy output, however
         return 1;
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/EmbeddingLookup.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/EmbeddingLookup.java
index b2ddc535d..dd67a2c1a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/EmbeddingLookup.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/EmbeddingLookup.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArray.java
index e5b00a5b1..a29070e7a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayConcat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayConcat.java
index b32687844..02343fad0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayConcat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayConcat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -55,7 +59,7 @@ public class TensorArrayConcat extends BaseTensorOp {
 
     @Override
     public String opName() {
-        return "tensorarrayconcatv3";
+        return "stack_list";
     }
 
     @Override
@@ -69,7 +73,7 @@ public class TensorArrayConcat extends BaseTensorOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(java.util.List inputDataType){
+    public List calculateOutputDataTypes(java.util.List inputDataType) {
         //Same output type as the TensorArray - which is defined by input 0
         SDVariable tArr = arg(0);
         TensorArray t3 = (TensorArray) sameDiff.getVariableOutputOp(tArr.name());
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayGather.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayGather.java
index 70d200dea..1d312b09d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayGather.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayGather.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -55,7 +59,7 @@ public class TensorArrayGather extends BaseTensorOp {
 
     @Override
     public String opName() {
-        return "tensorarraygatherv3";
+        return "gather_list";
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayRead.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayRead.java
index a92185e57..69c8f75d7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayRead.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayRead.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -51,7 +55,7 @@ public class TensorArrayRead extends BaseTensorOp {
 
     @Override
     public String opName() {
-        return "tensorarrayreadv3";
+        return "read_list";
     }
 
     @Override
@@ -66,16 +70,23 @@ public class TensorArrayRead extends BaseTensorOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List inputDataType){
+    public List calculateOutputDataTypes(List inputDataType) {
         //Same output type as the TensorArray - which is defined by input 0
-        DataType dt;
-        if(importDataType != null){
+        DataType dt = null;
+        if(importDataType != null) {
             dt = importDataType;
         } else {
-            SDVariable tArr = arg(0);
-            DifferentialFunction op = sameDiff.getVariableOutputOp(tArr.name());
-            TensorArray t3 = (TensorArray) op;
-            dt = t3.getTensorArrayDataType();
+            for(int i = 0; i < args().length; i++) {
+                SDVariable tArr = arg(i);
+                DifferentialFunction op = sameDiff.getVariableOutputOp(tArr.name());
+                if(op instanceof TensorArray) {
+                    TensorArray t3 = (TensorArray) op;
+                    dt = t3.getTensorArrayDataType();
+                    break;
+                }
+
+            }
+
         }
         return Collections.singletonList(dt);
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayScatter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayScatter.java
index 1f9a986fd..79a818e95 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayScatter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayScatter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -47,7 +51,7 @@ public class TensorArrayScatter extends BaseTensorOp {
 
     @Override
     public String opName() {
-        return "tensorarrayscatterv3";
+        return "scatter_list";
     }
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySize.java
index 55c2e11c5..9f9bdb63b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySize.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -37,7 +41,7 @@ public class TensorArraySize extends BaseTensorOp {
 
    @Override
    public String opName() {
-      return "tensorarraysizev3";
+      return "size_list";
    }
 
    @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySplit.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySplit.java
index b3630c549..6c5425db0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySplit.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArraySplit.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
@@ -47,7 +51,7 @@ public class TensorArraySplit extends BaseTensorOp {
 
     @Override
     public String opName() {
-        return "tensorarraysplitv3";
+        return "split_list";
     }
 
 
@@ -56,7 +60,7 @@ public class TensorArraySplit extends BaseTensorOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List inputDataType){
+    public List calculateOutputDataTypes(List inputDataType) {
         //Dummy float variable
         return Collections.singletonList(DataType.FLOAT);
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayWrite.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayWrite.java
index 2f1211e1d..65261f5d6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayWrite.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/shape/tensorops/TensorArrayWrite.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.shape.tensorops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/StandardDeviation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/StandardDeviation.java
index 2b6359985..ea58b3f9b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/StandardDeviation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/StandardDeviation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.summarystats;
 
@@ -30,11 +34,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Standard deviation (sqrt of variance)
- *
- * @author Adam Gibson
- */
 public class StandardDeviation extends Variance {
     public StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean biasCorrected, boolean keepDims, int[] dimensions) {
         super(sameDiff, i_v, biasCorrected, keepDims, dimensions );
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/Variance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/Variance.java
index c4a97745a..917a0be0e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/Variance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/summarystats/Variance.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.summarystats;
 
@@ -35,13 +39,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Variance with bias correction.
- * Bias can either be divided by n or adjusted with:
- * (currentResult - (pow(bias, 2.0) / n())) / (n() - 1.0);
- *
- * @author Adam Gibson
- */
 public class Variance extends BaseReduceOp {
     protected double mean, bias;
     protected boolean biasCorrected = true;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Angle.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Angle.java
index 7fed19e02..df29268fe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Angle.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Angle.java
@@ -1,34 +1,33 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
+import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Angle op for tensorflow import
        
- * Given ND4J currently only supports real arrays; hence by definition this always outputs 0
- *
- * @author Alex Black
- */
 public class Angle extends DynamicCustomOp {
 
     public Angle(SameDiff sameDiff, SDVariable input) {
@@ -46,4 +45,9 @@ public class Angle extends DynamicCustomOp {
     public List doDiff(List i_v) {
         return Collections.singletonList(sameDiff.zerosLike(arg()));
     }
+
+    @Override
+    public List calculateOutputDataTypes(List dataTypes) {
+        return dataTypes;
+    }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Assert.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Assert.java
index 07cfc9e32..7af6585db 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Assert.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Assert.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -23,10 +27,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Assertion op wrapper
- * @author raver119@gmail.com
- */
 public class Assert extends DynamicCustomOp {
     @Override
     public String opName() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BaseDynamicTransformOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BaseDynamicTransformOp.java
index 3813e1712..e56f33300 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BaseDynamicTransformOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BaseDynamicTransformOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BinCount.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BinCount.java
index 4d082b6b8..b48bf826e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BinCount.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/BinCount.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -30,11 +34,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * BinCount: counts the number of times each value appears in an integer array.
- *
- * @author Alex Black
- */
 public class BinCount extends DynamicCustomOp {
 
     private Integer minLength;
@@ -90,7 +89,7 @@ public class BinCount extends DynamicCustomOp {
                 inputTypes, getClass());
 
         //If weights present, same type as weights. Otherwise specified dtype
-        if(inputTypes.size() == 2 || inputTypes.size() == 4){
+        if(inputTypes.size() >= 2) {
             //weights available case or TF import case (args 2/3 are min/max)
             return Collections.singletonList(inputTypes.get(1));
         } else {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/CheckNumerics.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/CheckNumerics.java
index 83a563705..6ad745500 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/CheckNumerics.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/CheckNumerics.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -31,10 +35,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * CheckNumerics op wrapper
- * @author raver119@gmail.com
- */
 public class CheckNumerics extends DynamicCustomOp {
 
     public CheckNumerics(SameDiff sd, SDVariable input, SDVariable message){
@@ -77,7 +77,8 @@ public class CheckNumerics extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
-        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 2, "Expected 2 datatype in, got %s", inputDataTypes);
+        //input data types may be less than 2 for import, only first one matters anyways
+        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() <= 2, "Expected 2 datatype in, got %s", inputDataTypes);
         Preconditions.checkState(inputDataTypes.get(0).isFPType(), "Input datatype must be a floating point type, got %s", inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Cholesky.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Cholesky.java
index 15688b819..a9fc54a52 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Cholesky.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Cholesky.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -32,10 +36,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Cholesky op wrapper
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class Cholesky extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Histogram.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Histogram.java
index 00b53c120..4cd68211d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Histogram.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Histogram.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -20,11 +24,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * Histogram op wrapper
- *
- * @author raver119@gmail.com
- */
 public class Histogram extends DynamicCustomOp {
     private long numBins;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/HistogramFixedWidth.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/HistogramFixedWidth.java
index 6889add66..9f596e387 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/HistogramFixedWidth.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/HistogramFixedWidth.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -30,11 +34,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Histogram fixed with op
- *
- * @author Alex Black
- */
 public class HistogramFixedWidth extends DynamicCustomOp {
 
     public HistogramFixedWidth(SameDiff sameDiff, SDVariable values, SDVariable valuesRange, SDVariable numBins) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/IdentityN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/IdentityN.java
index e3fbe5644..2e01836eb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/IdentityN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/IdentityN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.Op;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * IdentityN op wrapper
- *
- * @author raver119@gmail.com
- */
 public class IdentityN extends DynamicCustomOp {
 
     public IdentityN() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/MaxOut.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/MaxOut.java
index 765ab3341..eb0a7947e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/MaxOut.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/MaxOut.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -32,12 +36,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Max out activation:
- * https://arxiv.org/pdf/1302.4389.pdf
- *
- * @author Adam Gibson
- */
 public class MaxOut extends BaseTransformOp {
 
     private Number max = Double.NaN;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/NthElement.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/NthElement.java
index 50e790b0a..2e708df92 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/NthElement.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/NthElement.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -31,10 +35,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * NthElement op wrapper
- * @author raver119@gmail.com
- */
 public class NthElement extends DynamicCustomOp {
     protected boolean reverse = false;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Pad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Pad.java
index 1540084d9..7becc03ca 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Pad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/Pad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -34,10 +38,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Pad op
- * @author Alex Black
- */
 public class Pad extends DynamicCustomOp {
 
     public enum Mode {CONSTANT, REFLECT, SYMMETRIC}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/ReluLayer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/ReluLayer.java
index fcd220004..207272a18 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/ReluLayer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/ReluLayer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms;
 
@@ -28,11 +32,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Composed op: relu((X, W) + b)
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class ReluLayer extends XwPlusB {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/Assign.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/Assign.java
index fd7934366..a6f1337c2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/Assign.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/Assign.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.any;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformAnyOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Identity function
- *
- * @author Adam Gibson
- */
 public class Assign extends BaseTransformAnyOp {
     public Assign(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/IsMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/IsMax.java
index 54f91f6d1..be8c99fef 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/IsMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/any/IsMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.any;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/BooleanNot.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/BooleanNot.java
index cc212439e..c831647a7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/BooleanNot.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/BooleanNot.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.bool;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Boolean NOT transform
- *
- * @author raver119@gmail.com
- */
 public class BooleanNot extends BaseTransformBoolOp {
 
     public BooleanNot(SameDiff sameDiff, SDVariable i_v) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsFinite.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsFinite.java
index a8be9803a..8056d76ac 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsFinite.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsFinite.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.bool;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * IsFinite function
- *
- * @author raver119@gmail.com
-  */
 @NoArgsConstructor
 public class IsFinite extends BaseTransformBoolOp {
     public IsFinite(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsInf.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsInf.java
index eb4f5be8a..3da370f46 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsInf.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsInf.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.bool;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * IsInf function
- *
- * @author raver119@gmail.com
-  */
 @NoArgsConstructor
 public class IsInf extends BaseTransformBoolOp {
     public IsInf(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsNaN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsNaN.java
index d5ff3cd6a..76bd5684b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsNaN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/IsNaN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.bool;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * IsNaN function
- *
- * @author raver119@gmail.com
-  */
 @NoArgsConstructor
 public class IsNaN extends BaseTransformBoolOp {
     public IsNaN(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/MatchConditionTransform.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/MatchConditionTransform.java
index d0836adc9..2ae0e0c0f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/MatchConditionTransform.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/bool/MatchConditionTransform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.bool;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.indexing.conditions.Condition;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Match condition transform
- *
- * @author raver119@gmail.com
- */
 public class MatchConditionTransform extends BaseTransformBoolOp {
 
     private Condition condition;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByAvgNorm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByAvgNorm.java
index a528ed257..9039e9dc4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByAvgNorm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByAvgNorm.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.transforms.clip;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNorm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNorm.java
index 8c7b4b8c8..03cb8635c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNorm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNorm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.clip;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNormBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNormBp.java
index 441dcdf18..c51d9789c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNormBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByNormBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.clip;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByValue.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByValue.java
index d221cc331..431764efd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByValue.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/clip/ClipByValue.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.clip;
 
@@ -28,6 +32,7 @@ import org.tensorflow.framework.AttrValue;
 import org.tensorflow.framework.GraphDef;
 import org.tensorflow.framework.NodeDef;
 
+import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 import java.util.Map;
@@ -91,7 +96,8 @@ public class ClipByValue extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
-        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), inputDataTypes);
-        return inputDataTypes;
+        Preconditions.checkState(inputDataTypes != null && !inputDataTypes.isEmpty() , "Expected at least 1 input datatype for %s, got %s", getClass(), inputDataTypes);
+        //get the final data type (sometimes model import passes in 2 dummy data types that aren't relevant)
+        return Arrays.asList(inputDataTypes.get(inputDataTypes.size() - 1));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndReplace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndReplace.java
index c50c5f5df..0acc2b321 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndReplace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndReplace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.comparison;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.indexing.conditions.Condition;
 
 import java.util.*;
 
-/**
- * Element-wise Compare-and-Replace implementation as Op
- * Basically this op does the same as Compare-and-Set, but op.X is checked against Condition instead
- *
- * @author raver119@gmail.com
- */
 public class CompareAndReplace extends BaseTransformSameOp {
 
     private Condition condition;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndSet.java
index f4839c17d..db0eba716 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/CompareAndSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.comparison;
 
@@ -28,13 +32,6 @@ import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Element-wise Compare-and-set implementation as Op
- *
- * Please check javadoc to specific constructors, for detail information.
- *
- * @author raver119@gmail.com
- */
 public class CompareAndSet extends BaseTransformSameOp {
 
     private Condition condition;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/Eps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/Eps.java
index ea5175b94..4eaad4337 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/Eps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/comparison/Eps.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.comparison;
 
@@ -24,12 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
 
 import java.util.List;
 
-/**
- * Bit mask over the ndarrays as to whether
- * the components are equal or not
- *
- * @author Adam Gibson
- */
 public class Eps extends BaseTransformBoolOp {
     public Eps(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
         super(sameDiff, i_v1, i_v2);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ATan2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ATan2.java
index 34be3fdc7..7928a5e48 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ATan2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ATan2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -30,11 +34,6 @@ import java.util.Collections;
 import java.util.List;
 import org.nd4j.linalg.ops.transforms.Transforms;
 
-/**
- * Arc Tangent elementwise function
- *
- * @author Adam Gibson
- */
 public class ATan2 extends BaseDynamicTransformOp {
 
     public ATan2(SameDiff sameDiff, SDVariable y, SDVariable x) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Assign.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Assign.java
index 938ede32a..975d25aeb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Assign.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Assign.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -33,9 +37,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Assign op: x = y, with broadcast as required
- */
 public class Assign extends DynamicCustomOp {
 
     public Assign(){
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpace.java
index 78b995669..de05d6476 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -29,22 +33,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * N-dimensional batch to space operation. Transforms data from a tensor from batch dimension into M spatial dimensions
- * according to the "blocks" specified (a vector of length M). Afterwards the spatial dimensions are optionally cropped,
- * as specified in "crops", a tensor of dim (M, 2), denoting the crop range.
- * 
        
- * Example:
- * input:        [[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
- * input shape:  [4, 1, 1, 1]
- * blocks:       [2, 2]
- * crops:        [[0, 0], [0, 0]]
- * 
        
- * output:       [[[[1], [2]], [[3], [4]]]]
- * output shape: [1, 2, 2, 1]
- *
- * @author Max Pumperla
- */
 public class BatchToSpace extends DynamicCustomOp {
 
     private int[] blocks;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpaceND.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpaceND.java
index 6622b134e..d9661edd3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpaceND.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BatchToSpaceND.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,22 +31,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * N-dimensional batch to space operation. Transforms data from a tensor from batch dimension into M spatial dimensions
- * according to the "blocks" specified (a vector of length M). Afterwards the spatial dimensions are optionally cropped,
- * as specified in "crops", a tensor of dim (M, 2), denoting the crop range.
- * 
        
- * Example:
- * input:        [[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
- * input shape:  [4, 1, 1, 1]
- * blocks:       [2, 2]
- * crops:        [[0, 0], [0, 0]]
- * 
        
- * output:       [[[[1], [2]], [[3], [4]]]]
- * output shape: [1, 2, 2, 1]
- *
- * @author Max Pumperla
- */
 public class BatchToSpaceND extends DynamicCustomOp {
 
     private int[] blocks;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitsHammingDistance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitsHammingDistance.java
index 2b85a4b79..f26603c06 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitsHammingDistance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitsHammingDistance.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import lombok.NonNull;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseAnd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseAnd.java
index 751793d38..6a6cce92d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseAnd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseAnd.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit-wise AND operation, broadcastable
- *
- * @author raver119@gmail.com
- */
 public class BitwiseAnd extends BaseDynamicTransformOp {
 
     public BitwiseAnd(SameDiff sameDiff, SDVariable x, SDVariable y) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseOr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseOr.java
index 9edc2bb1c..d82bd0d8f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseOr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseOr.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit-wise OR operation, broadcastable
- *
- * @author raver119@gmail.com
- */
 public class BitwiseOr extends BaseDynamicTransformOp {
 
     public BitwiseOr(SameDiff sameDiff, SDVariable x, SDVariable y) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseXor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseXor.java
index 8ba7d99e5..632f84407 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseXor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/BitwiseXor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit-wise XOR operation, broadcastable
- *
- * @author raver119@gmail.com
- */
 public class BitwiseXor extends BaseDynamicTransformOp {
 
     public BitwiseXor(SameDiff sameDiff, SDVariable x, SDVariable y) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReLU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReLU.java
index 08045619a..73502e4f3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReLU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReLU.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReluBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReluBp.java
index 0d41cfaaa..7941c5fa3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReluBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CReluBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Choose.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Choose.java
index 3ecf23e54..315356ccc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Choose.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Choose.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -30,17 +34,6 @@ import org.nd4j.linalg.indexing.conditions.Condition;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This op allows us to (based on the passed in condition)
- * to return the element fulfilling the condition.
- * In numpy, this is equivalent to the boolean indexing like:
- * a[a > 2] which returns all elements in the array greater than 2
- * as a flat vector.
- *
- * This op interops with underlying libnd4j by leveraging the {@link Condition#condtionNum()}
- *
- * @author Adam Gibson
- */
 public class Choose extends DynamicCustomOp {
     private Condition condition;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumProd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumProd.java
index f93d2bcf8..811048f98 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumProd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumProd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumSum.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumSum.java
index 8c4bb6524..5505a1554 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumSum.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CumSum.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -36,11 +40,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Cumulative sum operation, optionally along dimension.
- *
- * @author Alex Black
- */
 public class CumSum extends DynamicCustomOp {
 
     protected boolean exclusive = false;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicRShiftBits.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicRShiftBits.java
index fa691bf8d..ebffc1ecb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicRShiftBits.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicRShiftBits.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Element-wise roll operation, rolls bits to the left, <<
- *
- * @author raver119@gmail.com
- */
 public class CyclicRShiftBits extends BaseDynamicTransformOp {
 
     public CyclicRShiftBits(SameDiff sameDiff, SDVariable x, SDVariable shift) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicShiftBits.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicShiftBits.java
index b11e0cefe..a49854f07 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicShiftBits.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/CyclicShiftBits.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Element-wise roll operation, rolls bits to the left, <<
- *
- * @author raver119@gmail.com
- */
 public class CyclicShiftBits extends BaseDynamicTransformOp {
 
     public CyclicShiftBits(SameDiff sameDiff, SDVariable x, SDVariable shift) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Dilation2D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Dilation2D.java
index 262160440..f3faa7722 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Dilation2D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Dilation2D.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -35,11 +39,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Dilation2D op wrapper
- *
- * @author raver119@gmail.com
- */
 public class Dilation2D extends DynamicCustomOp {
     protected boolean isSameMode;
 
@@ -172,15 +171,15 @@ public class Dilation2D extends DynamicCustomOp {
         val fields = DifferentialFunctionClassHolder.getInstance().getFieldsForFunction(this);
 
 
-        tfMappings.put("r0", new IntArrayIntIndexAdpater(0));
-        tfMappings.put("r1", new IntArrayIntIndexAdpater(1));
-        tfMappings.put("r2", new IntArrayIntIndexAdpater(2));
-        tfMappings.put("r3", new IntArrayIntIndexAdpater(3));
+        tfMappings.put("r0", new IntArrayIntIndexAdapter(0));
+        tfMappings.put("r1", new IntArrayIntIndexAdapter(1));
+        tfMappings.put("r2", new IntArrayIntIndexAdapter(2));
+        tfMappings.put("r3", new IntArrayIntIndexAdapter(3));
 
-        tfMappings.put("s0", new IntArrayIntIndexAdpater(0));
-        tfMappings.put("s1", new IntArrayIntIndexAdpater(1));
-        tfMappings.put("s2", new IntArrayIntIndexAdpater(2));
-        tfMappings.put("s3", new IntArrayIntIndexAdpater(3));
+        tfMappings.put("s0", new IntArrayIntIndexAdapter(0));
+        tfMappings.put("s1", new IntArrayIntIndexAdapter(1));
+        tfMappings.put("s2", new IntArrayIntIndexAdapter(2));
+        tfMappings.put("s3", new IntArrayIntIndexAdapter(3));
 
         tfMappings.put("isSameMode",new StringEqualsAdapter("SAME"));
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttention.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttention.java
index 1e3787133..24b6023e9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttention.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttention.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -30,13 +34,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * (optionally scaled) dot product attention
- *
- * See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, p. 4, eq. 1)
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class DotProductAttention extends DynamicCustomOp {
     private boolean withWeights;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttentionBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttentionBp.java
index 358a5b2ef..29ddba042 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttentionBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DotProductAttentionBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,13 +31,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * (optionally scaled) dot product attention Backprop
- *
- * See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, p. 4, eq. 1)
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class DotProductAttentionBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicPartition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicPartition.java
index db11a6a6c..88a50bede 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicPartition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicPartition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -33,21 +37,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * Transforms a given input tensor into numPartitions partitions, as indicated by the indices in "partitions".
- * Output tensor has one more dimension than input tensor, the first dimension indicates the partition.
- *
- * Example:
- *
- * input:           [4, 3, 5, 7, 8, 0]
- * input shape:     [1, 6]
- * partitions:      [1, 0, 1, 0, 0, 1]
- * numPartitions:   2
- * outputs[0]:      [3, 7, 8]
- * outputs[1]:      [4, 5, 0]
- *
- * @author Max Pumperla
- */
 public class DynamicPartition extends DynamicCustomOp {
 
     private int numPartitions;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicStitch.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicStitch.java
index 1163b2403..b8baff434 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicStitch.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/DynamicStitch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -32,21 +36,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.*;
 
 
-/**
- * Transforms a given input tensor into numPartitions partitions, as indicated by the indices in "partitions".
- * Output tensor has one more dimension than input tensor, the first dimension indicates the partition.
- * 
        
- * Example:
- * 
        
- * input:           [4, 3, 5, 7, 8, 0]
- * input shape:     [1, 6]
- * partitions:      [1, 0, 1, 0, 0, 1]
- * numPartitions:   2
- * outputs[0]:      [3, 7, 8]
- * outputs[1]:      [4, 5, 0]
- *
- * @author Max Pumperla
- */
 public class DynamicStitch extends DynamicCustomOp {
 
     private int numPartitions;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/EqualTo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/EqualTo.java
index dc132f437..e171a0d0d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/EqualTo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/EqualTo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,12 +31,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit mask over the ndarrays as to whether
- * the components are equal or not
- *
- * @author Adam Gibson
- */
 public class EqualTo extends BaseDynamicTransformOp {
     public EqualTo() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxArgs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxArgs.java
index 3cd9ce8f4..78e7b588d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxArgs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxArgs.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import org.nd4j.autodiff.samediff.SDVariable;
@@ -15,12 +35,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Fake quantization operation.
- * Quantized into range [0, 2^numBits - 1] when narrowRange is false, or [1, 2^numBits - 1] when narrowRange is true.
- * Note that numBits must be in range 2 to 16 (inclusive).
- * @author Alex Black
- */
 public class FakeQuantWithMinMaxArgs extends DynamicCustomOp {
 
     protected boolean narrowRange;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxVars.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxVars.java
index 9cd7e316a..c92ecb4a6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxVars.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/FakeQuantWithMinMaxVars.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import org.nd4j.autodiff.samediff.SDVariable;
@@ -15,12 +35,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Fake quantization operation.
- * Quantized into range [0, 2^numBits - 1] when narrowRange is false, or [1, 2^numBits - 1] when narrowRange is true.
- * Note that numBits must be in range 2 to 16 (inclusive).
- * @author Alex Black
- */
 public class FakeQuantWithMinMaxVars extends DynamicCustomOp {
 
     protected boolean narrowRange;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Fill.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Fill.java
index 7fa9e71e0..8550fae38 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Fill.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Fill.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -46,24 +50,23 @@ import java.util.Map;
 public class Fill extends DynamicCustomOp {
 
     private double value;
-    private DataType outputDataType;
+    private DataType dtype;
 
     public Fill() {
     }
 
 
-    public Fill(SameDiff sameDiff, SDVariable shape, DataType outputDataType, double value) {
+    public Fill(SameDiff sameDiff, SDVariable shape, DataType dtype, double value) {
         super(null,sameDiff, new SDVariable[] {shape}, false);
         this.value = value;
-        this.outputDataType = outputDataType;
-        this.outputDataType = outputDataType;
+        this.dtype = dtype;
         addArgs();
     }
 
-    public Fill(INDArray shape, DataType outputDataType, double value) {
-        super(new INDArray[]{shape, Nd4j.scalar(outputDataType, value)}, null);
+    public Fill(INDArray shape, DataType dtype, double value) {
+        super(new INDArray[]{shape, Nd4j.scalar(dtype, value)}, null);
         this.value = value;
-        this.outputDataType = outputDataType;
+        this.dtype = dtype;
     }
 
     public Fill(INDArray shape, INDArray result, double value) {
@@ -83,7 +86,7 @@ public class Fill extends DynamicCustomOp {
     @Override
     public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
         org.tensorflow.framework.DataType dt = attributesForNode.get("T").getType();
-        this.outputDataType = DataTypeAdapter.dtypeConv(dt);
+        this.dtype = DataTypeAdapter.dtypeConv(dt);
     }
 
     @Override
@@ -135,11 +138,14 @@ public class Fill extends DynamicCustomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
         //1 or 2 possible: 2 for TF import (fill with specified value
         Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 2),
                 "Expected 1 or 2 input datatypes for %s, got %s", getClass(), dataTypes);
-        Preconditions.checkNotNull(outputDataType, "Output datatype was null (not set)");
-        return Collections.singletonList(outputDataType);
+        Preconditions.checkNotNull(dtype, "Output datatype was null (not set)");
+        return Collections.singletonList(dtype);
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThan.java
index 153470200..1e69c4af1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,12 +32,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit mask over the ndarrays as to whether
- * the components are greater than or not
- *
- * @author Adam Gibson
- */
 public class GreaterThan extends BaseDynamicTransformOp {
     public GreaterThan() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThanOrEqual.java
index d9d03306d..3097c58cb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/GreaterThanOrEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,12 +31,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit mask over the ndarrays as to whether
- * the components are greater than or equal or not
- *
- * @author Adam Gibson
- */
 public class GreaterThanOrEqual extends BaseDynamicTransformOp {
     public GreaterThanOrEqual() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InTopK.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InTopK.java
index 9e8f7825a..e2cb738d7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InTopK.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InTopK.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -31,11 +35,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * In Top K op
- *
- * @author Alex Black
- */
 public class InTopK extends DynamicCustomOp {
 
     private boolean sorted;
@@ -86,7 +85,7 @@ public class InTopK extends DynamicCustomOp {
     @Override
     public List calculateOutputDataTypes(List dataTypes){
         //3rd input: dynamic K value
-        Preconditions.checkState(dataTypes != null && (dataTypes.size() == 2 || dataTypes.size() == 3), "Expected 2 or 3 input datatypes for %s, got %s", getClass(), dataTypes);
+        Preconditions.checkState(dataTypes != null && !dataTypes.isEmpty(), "Expected at  least 1 input data types. for %s, got %s", getClass(), dataTypes);
         return Collections.singletonList(DataType.BOOL);
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InvertPermutation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InvertPermutation.java
index f3e9fd04e..b9203c24c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InvertPermutation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/InvertPermutation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNonDecreasing.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNonDecreasing.java
index b3627f2db..84101c554 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNonDecreasing.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNonDecreasing.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This op takes 1 n-dimensional array as input,
- * and returns true if for every adjacent pair we have x[i] <= x[i+1].
- *
- */
 @NoArgsConstructor
 public class IsNonDecreasing extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNumericTensor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNumericTensor.java
index e0346a8a1..819da5963 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNumericTensor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsNumericTensor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -26,10 +30,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This op takes 1 n-dimensional array as input, and returns true if input is a numeric array.
- */
-
 public class IsNumericTensor extends DynamicCustomOp {
     public IsNumericTensor() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsStrictlyIncreasing.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsStrictlyIncreasing.java
index 2f85f5352..a9987b3db 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsStrictlyIncreasing.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/IsStrictlyIncreasing.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This op takes 1 n-dimensional array as input,
- * and returns true if for every adjacent pair we have x[i] < x[i+1].
- *
- */
 public class IsStrictlyIncreasing extends DynamicCustomOp {
     public IsStrictlyIncreasing() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNorm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNorm.java
index b9795c97a..905b3b074 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNorm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNorm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -30,13 +34,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * Composed op: g*standarize(x) + b
- *
- * Bias is optional, and can be set as null
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class LayerNorm extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNormBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNormBp.java
index 07504a9af..534dbc6f4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNormBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LayerNormBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -29,13 +33,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.List;
 
 
-/**
- * Composed op: g*standarize(x) + b
- *
- * Bias is optional, and can be set as null
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class LayerNormBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThan.java
index a44b008ab..1298d2d01 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,12 +32,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit mask over the ndarrays as to whether
- * the components are less than or not
- *
- * @author Adam Gibson
- */
 public class LessThan extends BaseDynamicTransformOp {
     public LessThan() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThanOrEqual.java
index ef7bc642a..7fd1d872a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LessThanOrEqual.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,12 +31,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Bit mask over the ndarrays as to whether
- * the components are less than or equal or not
- *
- * @author Adam Gibson
- */
 public class LessThanOrEqual extends BaseDynamicTransformOp {
     public LessThanOrEqual() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ListDiff.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ListDiff.java
index 880717fb5..574b456cf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ListDiff.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ListDiff.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogMatrixDeterminant.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogMatrixDeterminant.java
index ad2f44421..cb0705920 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogMatrixDeterminant.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogMatrixDeterminant.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log Matrix Determinant op
- *
- * Given input with shape [..., N, N] output the log determinant for each sub-matrix.
- *
- * @author Alex Black
- */
 public class LogMatrixDeterminant extends DynamicCustomOp {
 
     public LogMatrixDeterminant() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogSoftMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogSoftMax.java
index e452ff4eb..676ea743a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogSoftMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogSoftMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,12 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log(softmax(X))
- *
- * @author Alex Black
- */
-
 public class LogSoftMax extends DynamicCustomOp {
 
     private Integer dimension = null;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalAnd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalAnd.java
index a6feadd15..f473b7821 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalAnd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalAnd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalNot.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalNot.java
index feee869a1..231010221 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalNot.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalNot.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalOr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalOr.java
index 7b0c02957..a99904853 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalOr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalOr.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalXor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalXor.java
index 29cc492da..879225c64 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalXor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/LogicalXor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDeterminant.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDeterminant.java
index 37e3d1864..bc3a7e587 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDeterminant.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDeterminant.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,13 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Matrix Determinant op
- *
- * Given input with shape [..., N, N] output the determinant for each sub-matrix.
- *
- * @author Alex Black
- */
 public class MatrixDeterminant extends DynamicCustomOp {
 
     public MatrixDeterminant() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiag.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiag.java
index e62dee421..d7dfa0213 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiag.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiag.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiagPart.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiagPart.java
index e1109f55a..d40c23404 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiagPart.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixDiagPart.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixInverse.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixInverse.java
index 93e6343f5..81e1d3ccc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixInverse.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixInverse.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Matrix Inverse Function
- *
- * @author Alex Black
- */
 public class MatrixInverse extends DynamicCustomOp {
 
     public MatrixInverse() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixSetDiag.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixSetDiag.java
index 073eaf182..9800c128c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixSetDiag.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MatrixSetDiag.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Max.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Max.java
index 2d141a187..614bd49cd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Max.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Max.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,11 +32,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Max function
- *
- * @author Adam Gibson
- */
 public class Max extends BaseDynamicTransformOp {
     public Max() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MaximumBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MaximumBp.java
index 75683c72e..af718ca8d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MaximumBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MaximumBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Min.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Min.java
index 70d42ea68..29273f59e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Min.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Min.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,11 +32,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Min function
- *
- * @author Adam Gibson
- */
 public class Min extends BaseDynamicTransformOp {
     public Min() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MirrorPad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MirrorPad.java
index 15bf8d261..b6e197f03 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MirrorPad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MirrorPad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttention.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttention.java
index 60bdd4b01..f585de634 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttention.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttention.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -30,13 +34,6 @@ import java.util.Collections;
 import java.util.List;
 
 
-/**
- * (optionally scaled) multi head dot product attention
- *
- * See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, pp. 4,5, "3.2.2 Multi-Head Attention")
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class MultiHeadDotProductAttention extends DynamicCustomOp {
     private boolean withWeights;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttentionBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttentionBp.java
index 89d60c2c3..0a7db670e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttentionBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/MultiHeadDotProductAttentionBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,13 +31,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * (optionally scaled) multi head dot product attention Backprop
- *
- * See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, pp. 4,5, "3.2.2 Multi-Head Attention")
- *
- * @author Paul Dubs
- */
 @NoArgsConstructor
 public class MultiHeadDotProductAttentionBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/NotEqualTo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/NotEqualTo.java
index b49ac7402..e26d1cf21 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/NotEqualTo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/NotEqualTo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,12 +31,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Not equal to function:
- * Bit mask over whether 2 elements are not equal or not
- *
- * @author Adam Gibson
- */
 public class NotEqualTo extends BaseDynamicTransformOp {
     public NotEqualTo() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ParallelConcat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ParallelConcat.java
index 4610b4725..6ea8d9f70 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ParallelConcat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ParallelConcat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -80,7 +84,7 @@ public class ParallelConcat extends DynamicCustomOp {
     @Override
     public List calculateOutputDataTypes(List dataTypes){
         DataType first = dataTypes.get(0);
-        for(int i=1; i>
- *
- * @author raver119@gmail.com
- */
 public class RShiftBits extends BaseDynamicTransformOp {
 
     public RShiftBits(SameDiff sameDiff, SDVariable x, SDVariable y) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Reverse.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Reverse.java
index 725b61d61..4bc961ba1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Reverse.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Reverse.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseBp.java
index 560c1cb7f..e5301eb01 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseBp.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseSequence.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseSequence.java
index f7494c618..c397639da 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseSequence.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseSequence.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -31,10 +35,6 @@ import org.tensorflow.framework.NodeDef;
 
 import java.util.*;
 
-/**
- * Created by farizrahman4u on 3/16/18.
- */
-
 public class ReverseSequence extends DynamicCustomOp {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseV2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseV2.java
index f22023410..666db3041 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseV2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ReverseV2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -30,9 +34,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * This is compatibility op for ReverseV2
- */
 public class ReverseV2 extends DynamicCustomOp {
     protected final boolean isLegacy = true;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ShiftBits.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ShiftBits.java
index f1c8c0f78..002e5b82c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ShiftBits.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ShiftBits.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Element-wise shift operation, shift bits to the left, <<
- *
- * @author raver119@gmail.com
- */
 public class ShiftBits extends BaseDynamicTransformOp {
 
     public ShiftBits(SameDiff sameDiff, SDVariable x, SDVariable y) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SoftMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SoftMax.java
index 8ff063943..3fee9ff76 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SoftMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SoftMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,18 +32,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Soft max function
- * row_maxes is a row vector (max for each row)
- * row_maxes = rowmaxes(input)
- * diff = exp(input - max) / diff.rowSums()
- * Outputs a probability distribution.
- * Note that this is a parameterized model and requires
- * the sum and max for the vector being calculated
- *
- * @author Adam Gibson
- */
-
 public class SoftMax extends BaseDynamicTransformOp {
     public SoftMax() {
         super();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatch.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatch.java
index 700dc4d95..f00743762 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatch.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,23 +32,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * N-dimensional space to batch operation. Transforms data from a tensor from M spatial dimensions into batch dimension
- * according to the "blocks" specified (a vector of length M). Afterwards the spatial dimensions are optionally padded,
- * as specified in "padding", a tensor of dim (M, 2), denoting the padding range.
- * 
        
- * Example:
- * input:         [[[[1], [2]], [[3], [4]]]]
- * input shape:   [1, 2, 2, 1]
- * blocks:        [2, 2]
- * padding:       [[0, 0], [0, 0]]
- * 
        
- * output:        [[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
- * output shape:  [4, 1, 1, 1]
- * *
- *
- * @author Max Pumperla
- */
 public class SpaceToBatch extends DynamicCustomOp {
 
     protected int[] blocks;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatchND.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatchND.java
index 12009d955..327252215 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatchND.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/SpaceToBatchND.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,23 +31,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * N-dimensional space to batch operation. Transforms data from a tensor from M spatial dimensions into batch dimension
- * according to the "blocks" specified (a vector of length M). Afterwards the spatial dimensions are optionally padded,
- * as specified in "padding", a tensor of dim (M, 2), denoting the padding range.
- * 
        
- * Example:
- * input:         [[[[1], [2]], [[3], [4]]]]
- * input shape:   [1, 2, 2, 1]
- * blocks:        [2, 2]
- * padding:       [[0, 0], [0, 0]]
- * 
        
- * output:        [[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
- * output shape:  [4, 1, 1, 1]
- * *
- *
- * @author Max Pumperla
- */
 public class SpaceToBatchND extends DynamicCustomOp {
 
     protected int[] blocks;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Standardize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Standardize.java
index f3d8af145..20e934cd1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Standardize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Standardize.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/StandardizeBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/StandardizeBp.java
index 6369126fd..df0679604 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/StandardizeBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/StandardizeBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Svd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Svd.java
index 80280e2dd..0e3a86aed 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Svd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Svd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -31,11 +35,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * SVD - singular value decomposition
- *
- * @author Alex Black
- */
 public class Svd extends DynamicCustomOp {
     public static final int DEFAULT_SWITCHNUM = 16;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ThresholdRelu.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ThresholdRelu.java
index 5e19d8f91..fc5d4422f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ThresholdRelu.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/ThresholdRelu.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
@@ -29,9 +33,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear;
 import org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp;
 
-/**
- * Threshold ReLU op.  The genral case of {@link RectifiedLinear}.
- */
 public class ThresholdRelu extends DynamicCustomOp {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/TopK.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/TopK.java
index b210de072..a0db77652 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/TopK.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/TopK.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -32,11 +36,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Top K op
- *
- * @author Alex Black
- */
 public class TopK extends DynamicCustomOp {
 
     private boolean sorted;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Trace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Trace.java
index 48db0e257..0fe874738 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Trace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Trace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Matrix trace operation
- *
- * @author Alex Black
- */
 public class Trace extends DynamicCustomOp {
 
     public Trace(SameDiff sd, SDVariable in){
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Unique.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Unique.java
index d79c2d2c2..92c7823f8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Unique.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Unique.java
@@ -1,21 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
+import lombok.extern.slf4j.Slf4j;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.common.base.Preconditions;
@@ -30,6 +35,7 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 
+@Slf4j
 public class Unique extends DynamicCustomOp {
     public static final DataType DEFAULT_IDX_DTYPE = DataType.INT;
 
@@ -68,7 +74,9 @@ public class Unique extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List dataTypes){
-        Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), dataTypes);
+        Preconditions.checkState(dataTypes != null && dataTypes.size() >= 1, "Expected exactly 1 or more input datatypes for %s, got %s", getClass(), dataTypes);
+        if(dataTypes.size() > 1)
+            log.warn("Using returning first data type of type " + dataTypes.get(0) + " for input");
         return Arrays.asList(dataTypes.get(0), (idxDataType == null ? DEFAULT_IDX_DTYPE : idxDataType));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/UniqueWithCounts.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/UniqueWithCounts.java
index 7c605bda4..5310e53f9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/UniqueWithCounts.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/UniqueWithCounts.java
@@ -1,21 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
+import lombok.extern.slf4j.Slf4j;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.common.base.Preconditions;
@@ -30,6 +35,7 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 
+@Slf4j
 public class UniqueWithCounts extends DynamicCustomOp {
     public static final DataType DEFAULT_IDX_DTYPE = DataType.INT;
     private DataType idxDataType;
@@ -66,8 +72,10 @@ public class UniqueWithCounts extends DynamicCustomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
-        Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), dataTypes);
+    public List calculateOutputDataTypes(List dataTypes) {
+        Preconditions.checkState(dataTypes != null && dataTypes.size() >= 1, "Expected exactly 1 or more input datatypes for %s, got %s", getClass(), dataTypes);
+        if(dataTypes.size() > 1)
+            log.warn("Using returning first data type of type " + dataTypes.get(0) + " for input");
         DataType d = (idxDataType == null ? DEFAULT_IDX_DTYPE : idxDataType);
         return Arrays.asList(dataTypes.get(0), d, d);
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/XwPlusB.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/XwPlusB.java
index cb98ce740..84aa94534 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/XwPlusB.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/XwPlusB.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.*;
 
 
-/**
- * Composed op: mmul (X, W) + b
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class XwPlusB extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Zeta.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Zeta.java
index d00c3587e..f6f4d6213 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Zeta.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/Zeta.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Element-wise Zeta function.
- *
- * Note that it is only defined for values x > 1, q > 0
- *
- * @author Alex Black
- */
 public class Zeta extends BaseDynamicTransformOp {
 
     public Zeta(SameDiff sameDiff, SDVariable x, SDVariable q) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMax.java
index 0d978b73f..b07788de7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom.segment;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Segment max operation
- *
- * @author Alex Black
- */
 public class SegmentMax extends DynamicCustomOp {
 
     public SegmentMax(SameDiff sameDiff, SDVariable data, SDVariable segmentIds) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMean.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMean.java
index 11780b260..5be26cef7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMean.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom.segment;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Segment mean operation
- *
- * @author Alex Black
- */
 public class SegmentMean extends DynamicCustomOp {
 
     public SegmentMean(SameDiff sameDiff, SDVariable data, SDVariable segmentIds) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMin.java
index 8063562d5..b33863961 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom.segment;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Segment min operation
- *
- * @author Alex Black
- */
 public class SegmentMin extends DynamicCustomOp {
 
     public SegmentMin(SameDiff sameDiff, SDVariable data, SDVariable segmentIds) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentProd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentProd.java
index 6bfcb78c1..5a0f2f744 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentProd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentProd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom.segment;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Segment product operation
- *
- * @author Alex Black
- */
 public class SegmentProd extends DynamicCustomOp {
 
     public SegmentProd(SameDiff sameDiff, SDVariable data, SDVariable segmentIds) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentSum.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentSum.java
index e0c0af833..2205bc36b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentSum.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/custom/segment/SegmentSum.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.custom.segment;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Segment sum operation
- *
- * @author Alex Black
- */
 public class SegmentSum extends DynamicCustomOp {
 
     public SegmentSum(SameDiff sameDiff, SDVariable data, SDVariable segmentIds) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/dtype/Cast.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/dtype/Cast.java
index 96cd840ba..7aa93368e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/dtype/Cast.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/dtype/Cast.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.dtype;
 
@@ -37,12 +41,8 @@ import org.tensorflow.framework.NodeDef;
 import java.lang.reflect.Field;
 import java.util.*;
 
-/**
- * Cast op wrapper. This op changes data type of input array.
- *
- * @author raver119@gmail.com
- */
 public class Cast extends BaseDynamicTransformOp {
+
     private DataType typeDst;
 
     public Cast() {
@@ -56,7 +56,7 @@ public class Cast extends BaseDynamicTransformOp {
         addArgs();
     }
 
-    public Cast(@NonNull INDArray arg, @NonNull DataType dataType){
+    public Cast(@NonNull INDArray arg, @NonNull DataType dataType) {
         super(new INDArray[]{arg}, null);
         this.typeDst = dataType;
         addArgs();
@@ -108,7 +108,7 @@ public class Cast extends BaseDynamicTransformOp {
     @Override
     public void setValueFor(Field target, Object value) {
         //This is a hack around a property mapping issue - TF datatype DT_DOUBLE return attribute.getType() of DT_DOUBLE which doesn't make sense
-        if(value == null || value instanceof String || value instanceof DataType){
+        if(value == null || value instanceof String || value instanceof DataType) {
             super.setValueFor(target, value);
         }
     }
@@ -134,7 +134,7 @@ public class Cast extends BaseDynamicTransformOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         //All scalar ops: output type is same as input type
         Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got input %s", getClass(), dataTypes);
         return Collections.singletonList(typeDst);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/RSqrt.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/RSqrt.java
index ad58b9814..c61413aba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/RSqrt.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/RSqrt.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.floating;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformFloatOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * RSqrt function
- *
- * @author Adam Gibson
-  */
 @NoArgsConstructor
 public class RSqrt extends BaseTransformFloatOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/Sqrt.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/Sqrt.java
index 462064188..db9e1dea9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/Sqrt.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/floating/Sqrt.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.floating;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformFloatOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Sqrt function
- *
- * @author Adam Gibson
- */
 public class Sqrt extends BaseTransformFloatOp {
     public Sqrt(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeBp.java
index fafc8c65a..484114c4c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * Cube backpropagation op - dL/dIn from in and dL/dOut
- */
 public class CubeBp extends DynamicCustomOp {
 
     public CubeBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeDerivative.java
index 60b5d9161..0f8432e1c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/CubeDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -24,12 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Cube derivative, e.g. 3x^2
- *
- * @deprecated Use {@link CubeBp}
- *
- */
 @Deprecated
 public class CubeDerivative extends BaseTransformStrictOp {
     public CubeDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/DynamicPartitionBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/DynamicPartitionBp.java
index 64c5d17c9..958cc3c4c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/DynamicPartitionBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/DynamicPartitionBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.*;
 
 
-/**
- * Backprop operation for dynamic partition
- * @author Alex Black
- */
 public class DynamicPartitionBp extends DynamicCustomOp {
 
     private int numPartitions;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/EluBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/EluBp.java
index ae6032ffe..ddcf1c409 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/EluBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/EluBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * ELU backpropagation op - dL/dIn from in and dL/dOut
- */
 public class EluBp extends DynamicCustomOp {
 
     public EluBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/GradientBackwardsMarker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/GradientBackwardsMarker.java
index 7bb5ace99..992278917 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/GradientBackwardsMarker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/GradientBackwardsMarker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidBp.java
index e2d376cdc..94b714f46 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * Hard Sigmoid backpropagation op - dL/dIn from in and dL/dOut
- */
 public class HardSigmoidBp extends DynamicCustomOp {
 
     public HardSigmoidBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidDerivative.java
index 75c8a25fb..c2ddaf991 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardSigmoidDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * HardSigmoid derivative
- *
- * @deprecated Use {@link HardSigmoidBp}
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class HardSigmoidDerivative extends BaseTransformStrictOp {
     public HardSigmoidDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhBp.java
index e0cd91b25..e46391dba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * Hard Tanh backpropagation op - dL/dIn from in and dL/dOut
- */
 public class HardTanhBp extends DynamicCustomOp {
 
     public HardTanhBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhDerivative.java
index 6bf3a95ac..7fc1bbd15 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/HardTanhDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -27,13 +31,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Hard tanh elementwise derivative function
- *
- * @deprecated Use {@link HardTanhBp}
- *
- * @author Adam Gibson
- */
 @Deprecated
 @NoArgsConstructor
 public class HardTanhDerivative extends BaseTransformStrictOp {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUBp.java
index 45ca54d3e..fab607c1e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * LReLU backpropagation op - dL/dIn from in and dL/dOut
- */
 public class LeakyReLUBp extends DynamicCustomOp {
     public static final double DEFAULT_ALPHA = 0.01;
     private double alpha = DEFAULT_ALPHA;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUDerivative.java
index f64f8fabd..7d32356f8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LeakyReLUDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -26,8 +30,6 @@ import org.nd4j.linalg.api.ops.BaseScalarOp;
 
 import java.util.List;
 
-/**Leaky ReLU derivative. Default alpha = 0.01. Cutoff = 0
- */
 @NoArgsConstructor
 public class LeakyReLUDerivative extends BaseScalarOp {
     private double alpha = 0.01;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LogSoftMaxDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LogSoftMaxDerivative.java
index ff866498c..d193ec968 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LogSoftMaxDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/LogSoftMaxDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/PReluBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/PReluBp.java
index 0d2ce1b36..1a040a1c7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/PReluBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/PReluBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -28,9 +32,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * PRelu backpropagation op - dL/dIn from in and dL/dOut
- */
 @NoArgsConstructor
 public class PReluBp extends DynamicCustomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhBp.java
index a07051390..4a7ce0679 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * Rational Tanh backpropagation op - dL/dIn from in and dL/dOut
- */
 public class RationalTanhBp extends DynamicCustomOp {
 
     public RationalTanhBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhDerivative.java
index 592859c98..f1ef4851c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RationalTanhDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -25,15 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Rational Tanh Derivative, as described at https://github.com/deeplearning4j/libnd4j/issues/351
- * Calculates dOut/dIn given input, not dL/dIn given dL/dOut and input
- *
- * @deprecated Use {@link RationalTanhBp}
- *
- * @author raver119@gmail.com
- * @author AlexDBlack
- */
 @Deprecated
 public class RationalTanhDerivative extends BaseTransformStrictOp {
     public RationalTanhDerivative(SameDiff sameDiff, SDVariable in, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhBp.java
index 2009462d1..89911388b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * Rectified Tanh backpropagation op - dL/dIn from in and dL/dOut
- */
 public class RectifiedTanhBp extends DynamicCustomOp {
 
     public RectifiedTanhBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhDerivative.java
index 7691cc441..e3496e9b1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/RectifiedTanhDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -25,14 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Rectified Tanh Derivative
- *
- * @deprecated Use {@link RectifiedTanhBp}
- *
- * @author raver119@gmail.com
- * @author AlexDBlack
- */
 @Deprecated
 public class RectifiedTanhDerivative extends BaseTransformStrictOp {
     public RectifiedTanhDerivative(SameDiff sameDiff, SDVariable in, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/Relu6Derivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/Relu6Derivative.java
index ef6ed3a30..9b08e0104 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/Relu6Derivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/Relu6Derivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Derivative of Rectified linear unit 6, i.e. min(max(input, cutoff), 6), where cutoff can be chosen.
- *
- * @author Alex Black
- */
 public class Relu6Derivative extends DynamicCustomOp {
 
     private static final double DEFAULT_CUTOFF = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SELUDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SELUDerivative.java
index 6f929ff41..b1004ddd2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SELUDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SELUDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -25,15 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * SELU Derivative elementwise function
- *
- * https://arxiv.org/pdf/1706.02515.pdf
- *
- * @deprecated Use {@link SeluBp}
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class SELUDerivative extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SeluBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SeluBp.java
index cd0a254c9..559122ae3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SeluBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SeluBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * SELU backpropagation op - dL/dIn from in and dL/dOut
- */
 public class SeluBp extends DynamicCustomOp {
 
     public SeluBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SigmoidDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SigmoidDerivative.java
index b47d41462..66da42185 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SigmoidDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SigmoidDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftPlusBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftPlusBp.java
index 4e9e9d347..7f28164e9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftPlusBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftPlusBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * SoftPlus backpropagation op - dL/dIn from in and dL/dOut
- */
 public class SoftPlusBp extends DynamicCustomOp {
 
     public SoftPlusBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignBp.java
index 09f4f02fe..328719205 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * SoftSign backpropagation op - dL/dIn from in and dL/dOut
- */
 public class SoftSignBp extends DynamicCustomOp {
 
     public SoftSignBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignDerivative.java
index 1af25c0ce..87ccd892c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftSignDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * SoftSign derivative.
- *
- * @deprecated Use {@link SoftSignBp}
- */
 @Deprecated
 @NoArgsConstructor
 public class SoftSignDerivative extends BaseTransformStrictOp {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftmaxBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftmaxBp.java
index 9797b19a9..21d7b16d5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftmaxBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/SoftmaxBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Softmax backpropagation op - dL/dIn from in and dL/dOut
- *
- * @author Alex Black
- */
 public class SoftmaxBp extends DynamicCustomOp {
 
     public SoftmaxBp(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/TanhDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/TanhDerivative.java
index 2a0d6021a..13cdf3611 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/TanhDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/TanhDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
 
@@ -27,9 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- *  TanhDerivative: calculated dL/dIn from dL/dOut and In
- */
 public class TanhDerivative extends DynamicCustomOp {
     public TanhDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
         super(sameDiff, new SDVariable[]{i_v1, i_v2});
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/ThresholdReluBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/ThresholdReluBp.java
index 80c325f67..723910602 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/ThresholdReluBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/gradient/ThresholdReluBp.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.api.ops.impl.transforms.gradient;
@@ -29,11 +33,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear;
 import org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu;
 
-/**
- * Threshold ReLU Backprop op - dL/dIn from in and dL/dOut
- *
- * For {@link RectifiedLinear} as well as {@link ThresholdRelu}.
- */
 public class ThresholdReluBp extends DynamicCustomOp {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryMinimalRelativeError.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryMinimalRelativeError.java
index a08aad7dc..566860922 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryMinimalRelativeError.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryMinimalRelativeError.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class BinaryMinimalRelativeError extends BaseTransformSameOp {
     private double thresholdRelative = 0.0;
     private double thresholdAbsolute = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryRelativeError.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryRelativeError.java
index b564cce0f..5a62e7f52 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryRelativeError.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/BinaryRelativeError.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class BinaryRelativeError extends BaseTransformSameOp {
     private double threshold = 0.0;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/RelativeError.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/RelativeError.java
index 21dc61500..685ee5ddd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/RelativeError.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/RelativeError.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class RelativeError extends BaseTransformSameOp {
     public RelativeError(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
         super(sameDiff, i_v1, i_v2);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/Set.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/Set.java
index b6f53e8e3..d8282f7a8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/Set.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/Set.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/AddOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/AddOp.java
index 4069967c6..f98c5677e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/AddOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/AddOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/Axpy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/Axpy.java
index c3c82f442..1b7e47d85 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/Axpy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/Axpy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 
 import java.util.List;
 
-/**
- *  Level 1 blas op Axpy as libnd4j native op
- *
- * @author raver119@gmail.com
- */
 public class Axpy extends BaseTransformSameOp {
 
     private double p;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/CopyOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/CopyOp.java
index 5482c22f3..a97176731 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/CopyOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/CopyOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 
 import java.util.List;
 
-/**
- * Copy operation
- *
- * @author Adam Gibson
- */
 public class CopyOp extends BaseTransformSameOp {
     public CopyOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
         super(sameDiff, i_v1, i_v2);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/DivOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/DivOp.java
index 2ce0101cf..a15aac7d3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/DivOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/DivOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FModOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FModOp.java
index 8de78257d..f92f4b20a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FModOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FModOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorModBp
 
 import java.util.List;
 
-/**
- * Floating-point mod
- *
- * @author raver119@gmail.com
- */
 public class FModOp extends BaseTransformSameOp {
     public FModOp() {}
 
@@ -78,7 +77,7 @@ public class FModOp extends BaseTransformSameOp {
 
     @Override
     public String tensorflowName() {
-        throw new NoOpNameFoundException();
+        return "FloorMod";
     }
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorDivOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorDivOp.java
index 7ed2c6c1c..f55da6aae 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorDivOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorDivOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorDivBp
 
 import java.util.List;
 
-/**
- * Truncated division operation
- *
- * @author Adam Gibson
- */
 public class FloorDivOp extends BaseDynamicTransformOp {
     public FloorDivOp() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorModOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorModOp.java
index ed2de94a6..b9d6aaa87 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorModOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/FloorModOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.api.shape.Shape;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Floor mod
- *
- * @author raver119@gmail.com
- */
 public class FloorModOp extends BaseDynamicTransformOp {
     public FloorModOp() {}
 
@@ -70,7 +69,7 @@ public class FloorModOp extends BaseDynamicTransformOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got input %s", getClass(), dataTypes);
 
         DataType z = Shape.pickPairwiseDataType(dataTypes.get(0), dataTypes.get(1));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/MergeAddOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/MergeAddOp.java
index 615eedbbe..546774bd2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/MergeAddOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/pairwise/arithmetic/MergeAddOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
 
@@ -30,11 +34,6 @@ import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Addition operation for n operands, called "mergeadd" in libnd4j
- *
- * @author Max Pumperla
- */
 @NoArgsConstructor
 public class MergeAddOp extends BaseDynamicTransformOp {
 
@@ -77,9 +76,9 @@ public class MergeAddOp extends BaseDynamicTransformOp {
 
 
     @Override
-    public List calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         DataType first = dataTypes.get(0);
-        for( int i=1; i calculateOutputDataTypes(List dataTypes){
+    public List calculateOutputDataTypes(List dataTypes) {
         Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got input %s", getClass(), dataTypes);
+        if(!dArguments.isEmpty())
+            return Arrays.asList(dArguments.get(0));
         return dataTypes;
     }
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Max.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Max.java
index 9db42dcfc..518b55005 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Max.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Max.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.custom.MaximumBp;
 
 import java.util.List;
 
-/**
- * Calculate the maximum value between two arrays in an elementwise fashion, broadcasting if required
- *
- * @author raver119@gmail.com
- */
 public class Max extends BaseTransformSameOp  {
 
     public Max(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Min.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Min.java
index 95c088e24..d7425d3ab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Min.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Min.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Calculate the minimum value between two arrays in an elementwise fashion, broadcasting if required
- *
- * @author raver119@gmail.com
- */
 public class Min extends BaseTransformSameOp  {
 
     public Min(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Negative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Negative.java
index 5f66c453e..b9ef68cbe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Negative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Negative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Negative function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class Negative extends BaseTransformSameOp {
     public Negative(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/OneMinus.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/OneMinus.java
index 2acbf58fb..844639a5a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/OneMinus.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/OneMinus.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Reciprocal.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Reciprocal.java
index 6b96b57b9..395e2f3b7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Reciprocal.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Reciprocal.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Created by susaneraly on 3/28/18.
- */
 @NoArgsConstructor
 public class Reciprocal extends BaseTransformSameOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Round.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Round.java
index 96751528e..b99f04f91 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Round.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Round.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Rounding function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class Round extends BaseTransformSameOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Sign.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Sign.java
index 5bf86bd17..12962cdba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Sign.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Sign.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Signum function
- *
- * @author Adam Gibson
- */
 public class Sign extends BaseTransformSameOp {
     public Sign(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Square.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Square.java
index 5cec130cd..ab41192f8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Square.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/Square.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.scalar.PowDerivative;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Square function (x ^ 2)
- *
- * @author Adam Gibson
- */
 public class Square extends BaseTransformSameOp {
     public Square(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/TimesOneMinus.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/TimesOneMinus.java
index 655cecd7a..e2f4897a6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/TimesOneMinus.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/same/TimesOneMinus.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.same;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformSameOp;
 
 import java.util.List;
 
-/**If x is input: output is x*(1-x)
- * @author Alex Black
- */
 public class TimesOneMinus extends BaseTransformSameOp {
     public TimesOneMinus(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMax.java
index 4fded8b58..777822981 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMaxBp;
 
 import java.util.*;
 
-/**
- * Unsorted segment max operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentMax extends DynamicCustomOp {
 
     protected int numSegments;
@@ -66,6 +65,9 @@ public class UnsortedSegmentMax extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
         Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
                 "Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMean.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMean.java
index 84c7e6ab1..1f3a206d9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMean.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Unsorted segment mean operation
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class UnsortedSegmentMean extends DynamicCustomOp {
 
@@ -63,6 +62,9 @@ public class UnsortedSegmentMean extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
         Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
                 "Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMin.java
index 29e191ddb..aeb74ae15 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentMin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMinBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Unsorted segment min operation
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class UnsortedSegmentMin extends DynamicCustomOp {
 
@@ -67,6 +66,9 @@ public class UnsortedSegmentMin extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
         Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
                 "Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentProd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentProd.java
index 5770c0a22..297f61afb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentProd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentProd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentProdBp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Unsorted segment product operation
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class UnsortedSegmentProd extends DynamicCustomOp {
 
@@ -67,8 +66,11 @@ public class UnsortedSegmentProd extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
         Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
-                "Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
+                "Expected exactly at least 2 input data types for %s, got %s", getClass(), inputDataTypes);
         return Collections.singletonList(inputDataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentSqrtN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentSqrtN.java
index 9fa88b788..b0738e1f4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentSqrtN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/UnsortedSegmentSqrtN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment;
 
@@ -26,13 +30,9 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSqrtNBp;
 
 import java.util.ArrayList;
+import java.util.Collections;
 import java.util.List;
 
-/**
- * Unsorted Sqrt(count) op
- *
- * @author Alex Black
- */
 @NoArgsConstructor
 public class UnsortedSegmentSqrtN extends DynamicCustomOp {
 
@@ -62,10 +62,14 @@ public class UnsortedSegmentSqrtN extends DynamicCustomOp {
 
     @Override
     public List calculateOutputDataTypes(List inputDataTypes){
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
+
         Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
                 "Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
         List out = new ArrayList<>();
-        for( int i=0; i calculateOutputDataTypes(List inputDataTypes){
+    public List calculateOutputDataTypes(List inputDataTypes) {
+        if(!dArguments.isEmpty()) {
+            return Collections.singletonList(dArguments.get(0));
+        }
         Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
                 "Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
         //TODO Allow customizing output type
-        return Collections.singletonList(Nd4j.defaultFloatingPointType());
+        return Collections.singletonList(inputDataTypes.get(0));
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMaxBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMaxBp.java
index f6c79a054..e24da2749 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMaxBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMaxBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Segment max backprop operation
- *
- * @author Alex Black
- */
 public class SegmentMaxBp extends DynamicCustomOp {
 
     public SegmentMaxBp(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, SDVariable gradient) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMeanBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMeanBp.java
index a632e574f..3f2e27503 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMeanBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMeanBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Segment mean backprop operation
- *
- * @author Alex Black
- */
 public class SegmentMeanBp extends DynamicCustomOp {
 
     public SegmentMeanBp(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, SDVariable gradient) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMinBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMinBp.java
index bfdce2499..8c8dd8470 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMinBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentMinBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Segment min backprop operation
- *
- * @author Alex Black
- */
 public class SegmentMinBp extends DynamicCustomOp {
 
     public SegmentMinBp(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, SDVariable gradient) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentProdBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentProdBp.java
index de1f44f01..636f31f8f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentProdBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentProdBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Segment product backprop operation
- *
- * @author Alex Black
- */
 public class SegmentProdBp extends DynamicCustomOp {
 
     public SegmentProdBp(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, SDVariable gradient) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentSumBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentSumBp.java
index e8d4c6daf..9155077df 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentSumBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/SegmentSumBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Segment sum backprop operation
- *
- * @author Alex Black
- */
 public class SegmentSumBp extends DynamicCustomOp {
 
     public SegmentSumBp(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, SDVariable gradient) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMaxBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMaxBp.java
index 1f6e38480..2747b511f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMaxBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMaxBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Unsorted segment max backprop operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentMaxBp extends DynamicCustomOp {
 
     private int numSegments;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMeanBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMeanBp.java
index 391510b9c..0a9ee95f6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMeanBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMeanBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Unsorted segment mean backprop operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentMeanBp extends DynamicCustomOp {
 
     private int numSegments;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMinBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMinBp.java
index ad2b2a45f..95665c206 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMinBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentMinBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Unsorted segment min backprop operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentMinBp extends DynamicCustomOp {
 
     private int numSegments;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentProdBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentProdBp.java
index f6ffa2b7b..da0452f99 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentProdBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentProdBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Unsorted segment product backprop operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentProdBp extends DynamicCustomOp {
 
     private int numSegments;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSqrtNBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSqrtNBp.java
index f22f53530..33b4ffc79 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSqrtNBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSqrtNBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Unsorted segment sqrt(n) backprop operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentSqrtNBp extends DynamicCustomOp {
 
     private int numSegments;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSumBp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSumBp.java
index f7de058fb..06211bfd2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSumBp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/segment/bp/UnsortedSegmentSumBp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.segment.bp;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Unsorted segment sum backprop operation
- *
- * @author Alex Black
- */
 public class UnsortedSegmentSumBp extends DynamicCustomOp {
 
     private int numSegments;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACos.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACos.java
index cd0e0d42e..2205882ed 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACos.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACos.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log elementwise function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class ACos extends BaseTransformStrictOp {
     public ACos(SameDiff sameDiff, SDVariable i_v) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACosh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACosh.java
index 7273454bc..92eeb2df4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACosh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ACosh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * ACosh elementwise function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class ACosh extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASin.java
index 9174d59a6..83946af5e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Arcsin elementwise function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class ASin extends BaseTransformStrictOp {
     public ASin(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASinh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASinh.java
index f394232b1..2975aabf8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASinh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ASinh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Arcsin elementwise function
- *
- * @author Adam Gibson
- */
 public class ASinh extends BaseTransformStrictOp {
     public ASinh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATan.java
index a94586711..2954dd239 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Arc Tangent elementwise function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class ATan extends BaseTransformStrictOp {
     public ATan(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATanh.java
index df094b295..6953a8df1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ATanh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * tan elementwise function
- *
- * @author Adam Gibson
- */
 public class ATanh extends BaseTransformStrictOp {
 
     public ATanh(SameDiff sameDiff, SDVariable i_v) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cos.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cos.java
index 2efe4020b..7a519db06 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cos.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cos.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Cosine elementwise function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class Cos extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cosh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cosh.java
index dd942d898..8b5b9dbcd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cosh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Cosh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Cosine Hyperbolic elementwise function
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class Cosh extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ELU.java
index 012fdcdb6..2f4d47738 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/ELU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -27,15 +31,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp;
 
 import java.util.List;
 
-/**
- * ELU: Exponential Linear Unit (alpha=1.0)
        
- * Introduced in paper:
        
- * Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
        
- * Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015)
        
- * https://arxiv.org/abs/1511.07289
- *
- * @author Alex Black
- */
 public class ELU extends DynamicCustomOp {
     public static final double DEFAULT_ALPHA = 1.0;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erf.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erf.java
index ae56f63a5..adcd5b6e4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erf.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erf.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Gaussian error function (erf) function, which is defined as
- * 
        
- * erf(x) = 1 / sqrt(pi) * integral_(-x, x) exp(-t^2) dt
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class Erf extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erfc.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erfc.java
index 853fcc387..acd6d7bb9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erfc.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Erfc.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,15 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Complementary Gaussian error function (erfc), defined as
- * 
        
- * erfc(x) = 1 - erf(x)
- * 
        
- * where erf denotes regular Gaussian error.
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class Erfc extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Exp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Exp.java
index f68abf88b..7974c6197 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Exp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Exp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Element-wise exponential function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class Exp extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Expm1.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Expm1.java
index 6d0e2a107..6733a26b7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Expm1.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Expm1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Element-wise exponential function minus 1, i.e. for each element x in a tensor computes the
- * transformation exp(x) - 1.
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class Expm1 extends BaseTransformStrictOp {
     public Expm1(SameDiff sameDiff, SDVariable i_v) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELU.java
index fdd1efa18..b2406e54d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * GELU activation function - Gaussian Error Linear Units
        
- * For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
- * Note: This op implements both the sigmoid and tanh-based approximations; to use the sigmoid approximation (recommended)
- * use precise=false; otherwise, use precise = true for the slower but marginally more accurate tanh version.
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class GELU extends BaseTransformStrictOp {
     public GELU(SameDiff sameDiff, SDVariable i_v, boolean inPlace, boolean precise) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELUDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELUDerivative.java
index 5d83c5882..9a4eadafc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELUDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/GELUDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardSigmoid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardSigmoid.java
index 44168beb3..4a01a61b9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardSigmoid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardSigmoid.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp;
 
 import java.util.List;
 
-/**
- * HardSigmoid function
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class HardSigmoid extends BaseTransformStrictOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardTanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardTanh.java
index e0386cb37..0d5f94e88 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardTanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/HardTanh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp;
 
 import java.util.List;
 
-/**
- * Hard tanh elementwise function
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 public class HardTanh extends BaseTransformStrictOp {
     public HardTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log.java
index 08c37ec7e..56c7746c7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log elementwise function
- *
- * @author Adam Gibson
- */
 public class Log extends BaseTransformStrictOp {
     public Log(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log1p.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log1p.java
index e11ccdd6d..c7f4ac9ae 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log1p.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Log1p.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log1p function
- *
- * @author raver119@gmail.com
-  */
 @NoArgsConstructor
 public class Log1p extends BaseTransformStrictOp {
     public Log1p(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/LogSigmoid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/LogSigmoid.java
index 33041438c..d783436d1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/LogSigmoid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/LogSigmoid.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * LogSigmoid function
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class LogSigmoid extends BaseTransformStrictOp {
     public LogSigmoid(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Mish.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Mish.java
index ead02f369..c1643f972 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Mish.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Mish.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Mish activation function
- *
- * @author raver119@gmail.com
- */
 public class Mish extends BaseTransformStrictOp {
     public Mish(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/MishDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/MishDerivative.java
index ddbbf1d1b..5750cb2c8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/MishDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/MishDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Mish derivative
- *
- * @author raver119@gmail.com
- */
 public class MishDerivative extends BaseTransformStrictOp {
     public MishDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
         super(sameDiff, i_v1, i_v2);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELU.java
index e2d8c8b5a..0bea33843 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,13 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * GELU activation function - Gaussian Error Linear Units
        
- * For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
- * Note: This op implements both the sigmoid and tanh-based approximations; to use the sigmoid approximation (recommended)
- * use precise=false; otherwise, use precise = true for the slower but marginally more accurate tanh version.
- * @author raver119@gmail.com
- */
 public class PreciseGELU extends BaseTransformStrictOp {
     public PreciseGELU(SameDiff sameDiff, SDVariable i_v, boolean inPlace, boolean precise) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELUDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELUDerivative.java
index c6fe52b5e..6b327ff8c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELUDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/PreciseGELUDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RationalTanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RationalTanh.java
index e48806d39..58662bb90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RationalTanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RationalTanh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp;
 
 import java.util.List;
 
-/**
- * Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
- *
- * @author raver119@gmail.com
- */
 public class RationalTanh extends BaseTransformStrictOp {
     public RationalTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RectifiedTanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RectifiedTanh.java
index 01be0cdf3..dd5892cb1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RectifiedTanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/RectifiedTanh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -30,13 +34,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.List;
 import java.util.Map;
 
-/**
- * RectifiedTanh
- *
- * Essentially max(0, tanh(x))
- *
- * @author raver119@gmail.com
- */
 public class RectifiedTanh extends BaseTransformStrictOp {
     public RectifiedTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Rint.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Rint.java
index f4d4608f4..7546aec1f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Rint.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Rint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Rint function
- *
- * @author raver119@gmail.com
-  */
 public class Rint extends BaseTransformStrictOp {
     public Rint(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SELU.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SELU.java
index ce5219f2d..ab99bfcec 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SELU.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SELU.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp;
 
 import java.util.List;
 
-/**
- * SELU activation function
- * 
        
- * https://arxiv.org/pdf/1706.02515.pdf
- *
- * @author raver119@gmail.com
- */
 public class SELU extends BaseTransformStrictOp {
 
     private static final double SELU_ALPHA = 1.6732632423543772848170429916717;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SetRange.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SetRange.java
index 647e2f1f8..f81986b27 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SetRange.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SetRange.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Set range to a particular set of values
- *
- * @author Adam Gibson
- */
 public class SetRange extends BaseTransformStrictOp {
 
     private double min, max;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sigmoid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sigmoid.java
index ec164e3a3..901020908 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sigmoid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sigmoid.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative;
 
 import java.util.List;
 
-/**
- * Sigmoid function
- *
- * @author Adam Gibson
- */
 public class Sigmoid extends BaseTransformStrictOp {
     public Sigmoid(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SigmoidDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SigmoidDerivative.java
index 370eee890..5bd865fe1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SigmoidDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SigmoidDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,13 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Sigmoid derivative
- *
- * @deprecated Use {@link org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative}
- *
- * @author Adam Gibson
- */
 @Deprecated
 public class SigmoidDerivative extends BaseTransformStrictOp {
     public SigmoidDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sin.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sin.java
index af4b8a175..e4bce3e37 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sin.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sin.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Log elementwise function
- *
- * @author Adam Gibson
- */
 public class Sin extends BaseTransformStrictOp {
     public Sin(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sinh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sinh.java
index e3db7874d..51e359599 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sinh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Sinh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Sinh function
- *
- * @author Adam Gibson
- */
 public class Sinh extends BaseTransformStrictOp {
     public Sinh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftPlus.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftPlus.java
index 5d5abe43f..465ae28b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftPlus.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftPlus.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftSign.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftSign.java
index 057fda972..8fcc0ef43 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftSign.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SoftSign.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,14 +28,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp;
 
 import java.util.List;
 
-/**
- * Softsign element-wise activation function. f(x) = x/(1+abs(x))
        
- * Similar in shape to tanh but may outperform it due to
- * 'gentler' nonlinearity (smoother asymptotes).
        
- * See for example: http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
- *
- * @author Alex Black
- */
 public class SoftSign extends BaseTransformStrictOp {
     public SoftSign(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Stabilize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Stabilize.java
index 60618bf8b..6d585a7fd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Stabilize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Stabilize.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Stabilization function, forces values to be within a range
- *
- * @author Adam Gibson
- */
 public class Stabilize extends BaseTransformStrictOp {
     double realMin = 1.1755e-38f;
     double cutOff = FastMath.log(realMin);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Swish.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Swish.java
index e8c405ba3..d8e5ce1f6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Swish.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Swish.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Swish function
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class Swish extends BaseTransformStrictOp {
     public Swish(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SwishDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SwishDerivative.java
index 5092801d8..fe9331278 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SwishDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/SwishDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tan.java
index 8e18eae86..568bb5201 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tan.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Tanh elementwise function
- *
- * @author raver119@gmail.com
- */
 public class Tan extends BaseTransformStrictOp {
     public Tan(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanDerivative.java
index 25bbdb045..1b23bd4f5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Tan Derivative elementwise function
- *
- * @author raver119@gmail.com
- */
 public class TanDerivative extends BaseTransformStrictOp {
 
     public TanDerivative() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tanh.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tanh.java
index aaa8aee96..583d0ec3e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tanh.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/Tanh.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative;
 
 import java.util.List;
 
-/**
- * Tanh elementwise function
- *
- * @author Adam Gibson
- */
 public class Tanh extends BaseTransformStrictOp {
     public Tanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
         super(sameDiff, i_v, inPlace);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanhDerivative.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanhDerivative.java
index 9b6a98730..8fa585f44 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanhDerivative.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/transforms/strict/TanhDerivative.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.transforms.strict;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
 
 import java.util.List;
 
-/**
- * Tanh derivative
- *
- * @deprecated Use {@link org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative}.
- */
 @Deprecated
 public class TanhDerivative extends BaseTransformStrictOp {
     public TanhDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaDeltaUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaDeltaUpdater.java
index db87ad5e4..141902cec 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaDeltaUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaDeltaUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class AdaDeltaUpdater extends DynamicCustomOp {
 
     public AdaDeltaUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaGradUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaGradUpdater.java
index e2304bdfb..72cae8a27 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaGradUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaGradUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class AdaGradUpdater extends DynamicCustomOp {
 
     public AdaGradUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaMaxUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaMaxUpdater.java
index 483078335..ff13d72d3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaMaxUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdaMaxUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class AdaMaxUpdater extends DynamicCustomOp {
 
     public AdaMaxUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdamUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdamUpdater.java
index 1ab34ae52..7c1e1f128 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdamUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AdamUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class AdamUpdater extends DynamicCustomOp {
 
     public AdamUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AmsGradUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AmsGradUpdater.java
index 5e8db1cfd..c3980e15c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AmsGradUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/AmsGradUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class AmsGradUpdater extends DynamicCustomOp {
 
     public AmsGradUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NadamUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NadamUpdater.java
index 325c85af5..5eab11139 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NadamUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NadamUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class NadamUpdater extends DynamicCustomOp {
 
     public NadamUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NesterovsUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NesterovsUpdater.java
index a277f750f..1df71c347 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NesterovsUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/NesterovsUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class NesterovsUpdater extends DynamicCustomOp {
 
     public NesterovsUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/RmsPropUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/RmsPropUpdater.java
index aaf734ea8..b1f47fdd4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/RmsPropUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/RmsPropUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class RmsPropUpdater extends DynamicCustomOp {
 
     public RmsPropUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/SgdUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/SgdUpdater.java
index ef40735a4..00c208bb5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/SgdUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/updaters/SgdUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.impl.updaters;
 
@@ -20,10 +24,6 @@ import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- *
- * @author raver119@gmail.com
- */
 public class SgdUpdater extends DynamicCustomOp {
 
     public SgdUpdater() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/PerformanceTracker.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/PerformanceTracker.java
index b08ae6980..dbed287b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/PerformanceTracker.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/PerformanceTracker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.performance;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.memory.MemcpyDirection;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * This class provides routines for performance tracking and holder for corresponding results
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class PerformanceTracker {
     private static final PerformanceTracker INSTANCE = new PerformanceTracker();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/primitives/AveragingTransactionsHolder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/primitives/AveragingTransactionsHolder.java
index 9d25b47a2..d9a5eced9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/primitives/AveragingTransactionsHolder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/performance/primitives/AveragingTransactionsHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.performance.primitives;
 
@@ -25,9 +29,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AveragingTransactionsHolder {
     private final List> storage = new ArrayList<>(MemcpyDirection.values().length);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/RestoreV2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/RestoreV2.java
index 322e3afba..7870a6d32 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/RestoreV2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/RestoreV2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.persistence;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/SaveV2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/SaveV2.java
index 702235b62..91593f052 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/SaveV2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/persistence/SaveV2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.persistence;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/BaseRandomOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/BaseRandomOp.java
index a51ac0c4c..6d82da9cd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/BaseRandomOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/BaseRandomOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random;
 
@@ -32,9 +36,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public abstract class BaseRandomOp extends BaseOp implements RandomOp {
     protected long[] shape;
@@ -80,9 +81,7 @@ public abstract class BaseRandomOp extends BaseOp implements RandomOp {
     }
 
     @Override
-    public List calculateOutputDataTypes(List inputDataTypes){
-        Preconditions.checkState(inputDataTypes == null || inputDataTypes.isEmpty(), "Expected no input data types for %s, got %s", getClass().getName(), inputDataTypes);
-        //TODO MAKE CONFIGUREABLE - https://github.com/deeplearning4j/deeplearning4j/issues/6854
+    public List calculateOutputDataTypes(List inputDataTypes) {
         return Collections.singletonList(DataType.FLOAT);
     }
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/compat/RandomStandardNormal.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/compat/RandomStandardNormal.java
index 9fc628f28..8863bee5a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/compat/RandomStandardNormal.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/compat/RandomStandardNormal.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.compat;
 
@@ -28,10 +32,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This op is a wrapper for RandomNormal Op
- * @author raver119@gmail.com
- */
 public class RandomStandardNormal extends DynamicCustomOp {
 
     public RandomStandardNormal() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/DistributionUniform.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/DistributionUniform.java
index a10706365..4d15b1a70 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/DistributionUniform.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/DistributionUniform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.custom;
 
@@ -34,11 +38,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Uniform distribution wrapper
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DistributionUniform extends DynamicCustomOp {
     private double min = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomBernoulli.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomBernoulli.java
index 041d8c010..efdb48d7c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomBernoulli.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomBernoulli.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.custom;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Random bernoulli distribution: p(x=1) = p, p(x=0) = 1-p
- * i.e., output is 0 or 1 with probability p.
- *
- * @author Alex Black
- */
 @Slf4j
 public class RandomBernoulli extends DynamicCustomOp {
     private double p = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomExponential.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomExponential.java
index bb0476478..f45e8426e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomExponential.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomExponential.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.custom;
 
@@ -28,11 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Random exponential distribution: p(x) = lambda * exp(-lambda * x)
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class RandomExponential extends DynamicCustomOp {
     private double lambda = 0.0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomGamma.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomGamma.java
index bb2676ba9..51acf560f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomGamma.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomGamma.java
@@ -1,19 +1,23 @@
 
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.random.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomNormal.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomNormal.java
index 44b6b8ae6..c5ea87252 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomNormal.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomNormal.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.custom;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Random normal distribution
- *
- * @author Alex Black
- */
 public class RandomNormal extends DynamicCustomOp {
 
     private double mean;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomPoisson.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomPoisson.java
index f14c2b709..8f24a5ca4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomPoisson.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomPoisson.java
@@ -1,19 +1,23 @@
 
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.random.custom;
 
 import lombok.NoArgsConstructor;
@@ -29,6 +33,7 @@ import org.tensorflow.framework.AttrValue;
 import org.tensorflow.framework.GraphDef;
 import org.tensorflow.framework.NodeDef;
 
+import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
 import java.util.Map;
@@ -64,6 +69,7 @@ public class RandomPoisson extends DynamicCustomOp {
 
     @Override
     public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
+       //TODO: change op descriptor to have proper data type matching java
         if(attributesForNode.containsKey("dtype")) {
             outputDataType = DataTypeAdapter.dtypeConv(attributesForNode.get("dtype").getType());
         }
@@ -73,6 +79,9 @@ public class RandomPoisson extends DynamicCustomOp {
     public List calculateOutputDataTypes(List inputDataTypes){
         Preconditions.checkState(inputDataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got %s",
                 getClass(), inputDataTypes.size());
+
+        if(!dArguments.isEmpty())
+            return Arrays.asList(dArguments.get(0));
         return Collections.singletonList(outputDataType);
     }
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomShuffle.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomShuffle.java
index 68d2bf56d..85ed85947 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomShuffle.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/custom/RandomShuffle.java
@@ -1,19 +1,23 @@
 
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.api.ops.random.custom;
 
 import lombok.NoArgsConstructor;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/AlphaDropOut.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/AlphaDropOut.java
index ca9fb5e11..0189376c3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/AlphaDropOut.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/AlphaDropOut.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ops.random.BaseRandomOp;
 
 import java.util.List;
 
-/**
- * AlphaDropOut implementation as Op
- *
- * @author raver119@gmail.com
- */
 public class AlphaDropOut extends BaseRandomOp {
 
     private double p;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BernoulliDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BernoulliDistribution.java
index 1a413e154..3f2ba68ee 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BernoulliDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BernoulliDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -30,11 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * BernoulliDistribution implementation
- *
- * @author raver119@gmail.com
- */
 public class BernoulliDistribution extends BaseRandomOp {
     private double prob;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistribution.java
index f823700d0..c58f62517 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This Op generates binomial distribution
- *
- * @author raver119@gmail.com
- */
 public class BinomialDistribution extends BaseRandomOp {
     private int trials;
     private double probability;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistributionEx.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistributionEx.java
index d6ed13a7e..ecc65c132 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistributionEx.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/BinomialDistributionEx.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -25,11 +29,6 @@ import org.nd4j.linalg.api.ops.random.BaseRandomOp;
 
 import java.util.List;
 
-/**
- * This Op generates binomial distribution
- *
- * @author raver119@gmail.com
- */
 public class BinomialDistributionEx extends BaseRandomOp {
     private long trials;
     private double probability;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Choice.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Choice.java
index f0961a6bd..c53354a58 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Choice.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Choice.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.api.ops.random.BaseRandomOp;
 
 import java.util.List;
 
-/**
- * This Op implements numpy.choice method
- * It fills Z from source, following probabilities for each source element
- *
- * @author raver119@gmail.com
- */
 public class Choice extends BaseRandomOp {
 
     public Choice() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOut.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOut.java
index e94e775eb..271886a46 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOut.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOut.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.random.BaseRandomOp;
 import java.util.List;
 
-/**
- * DropOut implementation as Op
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class DropOut extends BaseRandomOp {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOutInverted.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOutInverted.java
index ea7f6f7fd..759d7f520 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOutInverted.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/DropOutInverted.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,11 +33,6 @@ import org.tensorflow.framework.NodeDef;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Inverted DropOut implementation as Op
- *
- * @author raver119@gmail.com
- */
 public class DropOutInverted extends BaseRandomOp {
 
     private double p;
@@ -44,8 +43,6 @@ public class DropOutInverted extends BaseRandomOp {
     public DropOutInverted(SameDiff sameDiff, SDVariable input, double p) {
         super(sameDiff, input);
         this.p = p;
-        //https://github.com/deeplearning4j/deeplearning4j/issues/5650
-        throw new UnsupportedOperationException("Dropout SameDiff support disabled pending backprop support");
     }
 
     public DropOutInverted(@NonNull INDArray x, double p) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/GaussianDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/GaussianDistribution.java
index eb78af894..5795b3457 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/GaussianDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/GaussianDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This Op generates normal distribution over provided mean and stddev
- *
- * @author raver119@gmail.com
- */
 public class GaussianDistribution extends BaseRandomOp {
     private double mean;
     private double stddev;    
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Linspace.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Linspace.java
index cca52fcad..420b6c946 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Linspace.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Linspace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * Linspace/arange Op implementation, generates from..to distribution within Z
- *
- * @author raver119@gmail.com
- */
 public class Linspace extends BaseRandomOp {
     private double from;
     private double to;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/LogNormalDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/LogNormalDistribution.java
index d0e2bc462..f28ec024b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/LogNormalDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/LogNormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This Op generates log-normal distribution over provided mean and stddev
- *
- * @author raver119@gmail.com
- */
 public class LogNormalDistribution extends BaseRandomOp {
     private double mean;
     private double stddev;    
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/ProbablisticMerge.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/ProbablisticMerge.java
index ce86881e8..0f3aed89a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/ProbablisticMerge.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/ProbablisticMerge.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.api.ops.random.BaseRandomOp;
 
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class ProbablisticMerge extends BaseRandomOp {
 
     private double probability;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Range.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Range.java
index 6277a04bc..2d058902f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Range.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/Range.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -32,11 +36,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Range Op implementation, generates from..to distribution within Z
- *
- * @author raver119@gmail.com
- */
 public class Range extends DynamicCustomOp {
     public static final DataType DEFAULT_DTYPE = DataType.FLOAT;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/TruncatedNormalDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/TruncatedNormalDistribution.java
index 9453bab8b..237c9cf20 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/TruncatedNormalDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/TruncatedNormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * This Op generates truncated normal distribution over provided mean and stddev
- *
- * @author raver119@gmail.com
- */
 public class TruncatedNormalDistribution extends BaseRandomOp {
     private double mean;
     private double stddev;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/UniformDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/UniformDistribution.java
index bf1863dda..e271ed99b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/UniformDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/random/impl/UniformDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.random.impl;
 
@@ -29,9 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 public class UniformDistribution extends BaseRandomOp {
     private double from;
     private double to;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintAffinity.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintAffinity.java
index c374c7dd3..da7235595 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintAffinity.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintAffinity.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.util;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 
-/**
- * This is a wrapper for PrintAffinity op that just prints out affinity & locality status of INDArray
- *
- * @author raver119@gmail.com
- */
 public class PrintAffinity extends DynamicCustomOp {
 
     public PrintAffinity() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintVariable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintVariable.java
index 76ffb20be..cc52e79d8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintVariable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/util/PrintVariable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.ops.util;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This is a wrapper for PrintVariable op that just prints out Variable to the stdout
- *
- * @author raver119@gmail.com
- */
 public class PrintVariable extends DynamicCustomOp {
 
     public PrintVariable() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/DefaultRandom.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/DefaultRandom.java
index c23025117..bf49e168d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/DefaultRandom.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/DefaultRandom.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng;
 
@@ -25,14 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.util.ArrayUtil;
 
-/**
- * Apache commons based random number generation
- *
- * Please note: this implementation can't be used for NativeOps execution
- *
- * @author Adam Gibson
- */
-// TODO: make this op compatible with NativeOpExecutioner
 public class DefaultRandom implements Random, RandomGenerator {
     protected RandomGenerator randomGenerator;
     protected long seed;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/Random.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/Random.java
index 0dbf16d8d..d3740509c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/Random.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/Random.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng;
 
 import org.bytedeco.javacpp.Pointer;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Random generation based on commons math.
- * This is mean to be an independent.
- *
- * @author Adam Gibson
- */
 public interface Random extends AutoCloseable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/BaseDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/BaseDistribution.java
index e32010827..9015301ea 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/BaseDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/BaseDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution;
 
@@ -30,14 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Iterator;
 
-/**
- * Base distribution derived from apache commons math
- * http://commons.apache.org/proper/commons-math/
- * 
        
- * (specifically the {@link org.apache.commons.math3.distribution.AbstractRealDistribution}
- *
- * @author Adam Gibson
- */
 public abstract class BaseDistribution implements Distribution {
     protected Random random;
     protected double solverAbsoluteAccuracy;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/Distribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/Distribution.java
index 02fdea522..e224f5866 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/Distribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/Distribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DefaultDistributionFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DefaultDistributionFactory.java
index 4c6a7c542..59d91481f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DefaultDistributionFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DefaultDistributionFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.factory;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.rng.distribution.Distribution;
 import org.nd4j.linalg.api.rng.distribution.impl.*;
 
-/**
- * Default distribution factory
- *
- * @author Adam Gibson
- */
 public class DefaultDistributionFactory implements DistributionFactory {
     @Override
     public Distribution createBinomial(int n, INDArray p) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DistributionFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DistributionFactory.java
index 8b58a0d65..552fac9a1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DistributionFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/factory/DistributionFactory.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.factory;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.rng.distribution.Distribution;
 
-/**
- * Create a distribution
- *
- * @author Adam Gibson
- */
 public interface DistributionFactory {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/BinomialDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/BinomialDistribution.java
index 4715ec853..2d295d53f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/BinomialDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/BinomialDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -31,14 +35,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Iterator;
 
-/**
- * Base distribution derived from apache commons math
- * http://commons.apache.org/proper/commons-math/
- * 
        
- * (specifically the {@link org.apache.commons.math3.distribution.BinomialDistribution}
- *
- * @author Adam Gibson
- */
 public class BinomialDistribution extends BaseDistribution {
     /**
      * The number of trials.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/ConstantDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/ConstantDistribution.java
index ed5742c1a..6e929fa8d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/ConstantDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/ConstantDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -23,12 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.rng.distribution.BaseDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- *
- * This is not real distribution. It'll generate valueOf array with requested shape.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class ConstantDistribution extends BaseDistribution {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/LogNormalDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/LogNormalDistribution.java
index ca1b05b06..f0c9aa396 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/LogNormalDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/LogNormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.api.rng.distribution.BaseDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- *  Log-Normal Distribution
- *  
- * @author raver119@gmail.com
- */
 public class LogNormalDistribution extends BaseDistribution {
     /**
      * Default inverse cumulative probability accuracy.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/NormalDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/NormalDistribution.java
index 393d64364..a7ccc5caf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/NormalDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/NormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -31,14 +35,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Iterator;
 
-/**
- * Base distribution derived from apache commons math
- * http://commons.apache.org/proper/commons-math/
- * 
        
- * (specifically the {@link org.apache.commons.math3.distribution.NormalDistribution}
- *
- * @author Adam Gibson
- */
 public class NormalDistribution extends BaseDistribution {
     /**
      * Default inverse cumulative probability accuracy.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/OrthogonalDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/OrthogonalDistribution.java
index 8131617f8..bd7cff94d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/OrthogonalDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/OrthogonalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -28,12 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.common.util.ArrayUtil;
 
-/**
- *
- * Limited Orthogonal distribution implementation
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class OrthogonalDistribution extends BaseDistribution {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/SaddlePointExpansion.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/SaddlePointExpansion.java
index 81d5657c6..446c0c264 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/SaddlePointExpansion.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/SaddlePointExpansion.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -20,29 +24,6 @@ import org.apache.commons.math3.special.Gamma;
 import org.apache.commons.math3.util.FastMath;
 import org.apache.commons.math3.util.MathUtils;
 
-/**
- * 
        
- * Utility class used by various distributions to accurately compute their
- * respective probability mass functions. The implementation for this class is
- * based on the Catherine Loader's dbinom routines.
- * 
        
- * 
        
- * This class is not intended to be called directly.
- * 
        
- * 
        
- * References:
- * 
          
- * 
        1. Catherine Loader (2000). "Fast and Accurate Computation of Binomial
- * Probabilities.". 
- * http://www.herine.net/stat/papers/dbinom.pdf
          2. 
- * 
        
- * 
        
- *
- * @version $Id: SaddlePointExpansion.java 1416643 2012-12-03 19:37:14Z tn $
- * @since 2.1
- */
 public class SaddlePointExpansion {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/TruncatedNormalDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/TruncatedNormalDistribution.java
index 55cbac48e..3043c9ebf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/TruncatedNormalDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/TruncatedNormalDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.api.rng.distribution.BaseDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- *  Truncated Normal Distribution
- *
- * @author raver119@gmail.com
- */
 public class TruncatedNormalDistribution extends BaseDistribution {
     /**
      * Default inverse cumulative probability accuracy.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/UniformDistribution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/UniformDistribution.java
index e152e2114..b06896146 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/UniformDistribution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/rng/distribution/impl/UniformDistribution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.rng.distribution.impl;
 
@@ -25,14 +29,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.rng.distribution.BaseDistribution;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Base distribution derived from apache commons math
- * http://commons.apache.org/proper/commons-math/
- * 
        
- * (specifically the {@link org.apache.commons.math3.distribution.UniformIntegerDistribution}
- *
- * @author Adam Gibson
- */
 public class UniformDistribution extends BaseDistribution {
     private double upper, lower;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/LongShapeDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/LongShapeDescriptor.java
index 63d29f3b9..0263533b6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/LongShapeDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/LongShapeDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.shape;
 
@@ -25,9 +29,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.Arrays;
 
-/**
- * @author raver119@gmail.com
- */
 public class LongShapeDescriptor {
 
     @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/Shape.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/Shape.java
index 2da490a0d..9de6781c9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/Shape.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/shape/Shape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.api.shape;
 
@@ -36,12 +40,6 @@ import org.nd4j.common.util.ArrayUtil;
 import java.nio.*;
 import java.util.*;
 
-/**
- * Encapsulates all shape related logic (vector of 0 dimension is a scalar is equivalent to
- * a vector of length 1...)
- *
- * @author Adam Gibson
- */
 public class Shape {
 
 
@@ -3276,8 +3274,9 @@ public class Shape {
         */
 
         val dtype = ArrayOptionsHelper.dataType(extras);
-        val empty = ArrayOptionsHelper.hasBitSet(extras, ArrayOptionsHelper.ATYPE_EMPTY_BIT);
-        return Nd4j.getExecutioner().createShapeInfo(shape, stride, elementWiseStride, order, dtype, empty);
+        //val empty = ArrayOptionsHelper.hasBitSet(extras, ArrayOptionsHelper.ATYPE_EMPTY_BIT);
+        //just propogate extra // it is the same value in the backend
+        return Nd4j.getExecutioner().createShapeInfo(shape, stride, elementWiseStride, order, dtype, extras); 
     }
 
     public static DataBuffer createSparseInformation(int[] flags, long[] sparseOffsets, int[] hiddenDimensions,
@@ -3687,9 +3686,6 @@ public class Shape {
     }
 
     public static DataType pickPairwiseDataType(@NonNull DataType typeX, @NonNull Number number) {
-        if (!Nd4j.isExperimentalMode())
-            return typeX;
-
         if (number instanceof Double) {
             return pickPairwiseDataType(typeX, DataType.DOUBLE);
         } else if (number instanceof Float) {
@@ -3707,10 +3703,16 @@ public class Shape {
         }
     }
 
+    /**
+     * Return a data type to use for output
+     * within a pair wise operation such as add or subtract.
+     * Basically: favor float like data types
+     * over ints since they're typically used for indexing.
+     * @param typeX the first input data type
+     * @param typeY the second input data type
+     * @return the resolved data type
+     */
     public static DataType pickPairwiseDataType(@NonNull DataType typeX, @NonNull DataType typeY) {
-        if (!Nd4j.isExperimentalMode())
-            return typeX;
-
         if (typeX == typeY)
             return typeX;
 
@@ -3754,7 +3756,7 @@ public class Shape {
         return ArrayOptionsHelper.arrayType(shapeInfo) == ArrayType.EMPTY;
     }
 
-    public static void assertValidOrder(char order){
+    public static void assertValidOrder(char order) {
         if(order != 'c' && order != 'f' && order != 'a'){
             throw new IllegalArgumentException("Invalid order arg: must be 'c' or 'f' (or 'a' for vectors), got '" + order + "'");
         }
@@ -3764,7 +3766,7 @@ public class Shape {
      * Create an INDArray to represent the (possibly null) int[] dimensions.
      * If null or length 0, returns an empty INT array. Otherwise, returns a 1d INT NDArray
      * @param dimensions Dimensions to convert
-     * @return Dimenions as an INDArray
+     * @return Dimensions as an INDArray
      */
     public static INDArray ndArrayDimFromInt(int... dimensions){
         if (dimensions == null || dimensions.length == 0)
@@ -3797,10 +3799,10 @@ public class Shape {
                 retShape = new long[]{1, 1};
             }
         } else {
-            if(keepDims){
+            if(keepDims) {
                 retShape = x.shape().clone();
                 if(wholeArray){
-                    for( int i=0; i
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/checkutil/NDArrayCreationUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/checkutil/NDArrayCreationUtil.java
index 81e6e6160..fe5eebef4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/checkutil/NDArrayCreationUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/checkutil/NDArrayCreationUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.checkutil;
 
@@ -27,17 +31,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.util.*;
 
-/**
- *
- * This class contains utility methods for generating NDArrays for use in unit tests
- * The idea is to generate arrays with a specific shape, after various operations have been undertaken on them
- * So output is after get, reshape, transpose, permute, tensorAlongDimension etc operations have been done
        
- * Most useful methods:
        
- *     - getAllTestMatricesWithShape
- *     - getAll4dTestArraysWithShape
- *     - getAll4dTestArraysWithShape
- * @author Alex Black
- */
 public class NDArrayCreationUtil {
     private NDArrayCreationUtil() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/AbstractStorage.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/AbstractStorage.java
index be87fc7d0..78a1d75da 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/AbstractStorage.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/AbstractStorage.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This interface describes basic Key-Value storage, where Key is any object, and Value is INDArray located "somewhere else"
- *
- *
- * @author raver119@gmail.com
- */
 public interface AbstractStorage {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/BasicNDArrayCompressor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/BasicNDArrayCompressor.java
index 0ada386d7..283694f56 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/BasicNDArrayCompressor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/BasicNDArrayCompressor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
@@ -30,9 +34,6 @@ import java.util.ServiceLoader;
 import java.util.Set;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class BasicNDArrayCompressor {
     private static final BasicNDArrayCompressor INSTANCE = new BasicNDArrayCompressor();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressedDataBuffer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressedDataBuffer.java
index 7cbfb0d70..cdbd52d3b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressedDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressedDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
@@ -36,9 +40,6 @@ import java.io.DataInputStream;
 import java.io.DataOutputStream;
 import java.io.IOException;
 
-/**
- * @author raver119@gmail.com
- */
 public class CompressedDataBuffer extends BaseDataBuffer {
     @Getter
     @Setter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionAlgorithm.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionAlgorithm.java
index e7fed7504..3195dc64b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionAlgorithm.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionAlgorithm.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
-/**
- * Compression algorithm enum
- *
- * @author Adam Gibson
- */
 public enum CompressionAlgorithm {
     FLOAT8, FLOAT16, GZIP, INT8, INT16, NOOP, UNIT8, CUSTOM;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionDescriptor.java
index 42f9153eb..f86f6085d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
@@ -25,15 +29,6 @@ import java.nio.Buffer;
 import java.nio.ByteBuffer;
 import java.nio.ByteOrder;
 
-/**
- * A compression descriptor containing the
- * compression opType, compression algorithm,
- * original length, compressed length,
- * number of elements, and the original
- * element size
- *
- * @author raver119@gmail.com
- */
 @Data
 public class CompressionDescriptor implements Cloneable, Serializable {
     private CompressionType compressionType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionType.java
index 875c7af17..52f021cb1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionType.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
-/**
- * @author raver119@gmail.com
- */
 public enum CompressionType {
     LOSSLESS, LOSSY,
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionUtils.java
index 7b529a987..03ce9b4b5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/CompressionUtils.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
 import lombok.NonNull;
 import org.nd4j.linalg.api.buffer.DataTypeEx;
 
-/**
- * This class provides utility methods for Compression in ND4J
- *
- * @author raver119@gmail.com
- */
 public class CompressionUtils {
 
     public static boolean goingToDecompress(@NonNull DataTypeEx from, @NonNull DataTypeEx to) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/NDArrayCompressor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/NDArrayCompressor.java
index b88a72add..b9b8c603a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/NDArrayCompressor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/NDArrayCompressor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
@@ -20,15 +24,6 @@ import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- *
- * NDArray compressor.
- * Given a compression algorithm,
- * it can compress/decompress
- * databuffers and ndarrays.
- *
- * @author raver119@gmail.com
- */
 public interface NDArrayCompressor {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/ThresholdCompression.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/ThresholdCompression.java
index 6c2448ac8..4134e0451 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/ThresholdCompression.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/compression/ThresholdCompression.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.compression;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/BaseConvolution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/BaseConvolution.java
index 71c85890c..2750d4f15 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/BaseConvolution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/BaseConvolution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.convolution;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.common.util.ArrayUtil;
 
 
-/**
- * Base convolution implementation
- *
- * @author Adam Gibson
- */
 public abstract class BaseConvolution implements ConvolutionInstance {
     /**
      * 2d convolution (aka the last 2 dimensions
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/Convolution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/Convolution.java
index 237abe642..8be873b8e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/Convolution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/Convolution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.convolution;
 
@@ -31,13 +35,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * Convolution is the
- * code for applying
- * the convolution operator.
- *
- * @author Adam Gibson
- */
 public class Convolution {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/ConvolutionInstance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/ConvolutionInstance.java
index 09d59cb35..3fac916dd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/ConvolutionInstance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/ConvolutionInstance.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.convolution;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Convolution instance. Implementations of convolution algorithms
- *
- * @author Adam Gibson
- */
 public interface ConvolutionInstance {
     /**
      * 2d convolution (aka the last 2 dimensions
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/DefaultConvolutionInstance.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/DefaultConvolutionInstance.java
index 319751504..3d25adff3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/DefaultConvolutionInstance.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/DefaultConvolutionInstance.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.convolution;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Default convolution instance (FFT based)
- *
- * @author Adam Gibson
- */
 public class DefaultConvolutionInstance extends BaseConvolution {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/OldConvolution.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/OldConvolution.java
index 6e79ca067..383e807b1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/OldConvolution.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/convolution/OldConvolution.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.convolution;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncDataSetIterator.java
index 500a1e123..842b770d3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -35,17 +39,6 @@ import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * Async prefetching iterator wrapper for DataSetIterator implementations.
- * This will asynchronously prefetch the specified number of minibatches from the underlying iterator.
        
- * Also has the option (enabled by default for most constructors) to use a cyclical workspace to avoid creating INDArrays
- * with off-heap memory that needs to be cleaned up by the JVM garbage collector.
        
- *
- * Note that appropriate DL4J fit methods automatically utilize this iterator, so users don't need to manually wrap
- * their iterators when fitting a network
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AsyncDataSetIterator implements DataSetIterator {
     protected DataSetIterator backedIterator;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncMultiDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncMultiDataSetIterator.java
index ac20ce66d..7b32dca06 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncMultiDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/AsyncMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -35,17 +39,6 @@ import java.util.concurrent.BlockingQueue;
 import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * Async prefetching iterator wrapper for MultiDataSetIterator implementations
- * This will asynchronously prefetch the specified number of minibatches from the underlying iterator.
        
- * Also has the option (enabled by default for most constructors) to use a cyclical workspace to avoid creating INDArrays
- * with off-heap memory that needs to be cleaned up by the JVM garbage collector.
        
- *
- * Note that appropriate DL4J fit methods automatically utilize this iterator, so users don't need to manually wrap
- * their iterators when fitting a network
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AsyncMultiDataSetIterator implements MultiDataSetIterator {
     protected MultiDataSetIterator backedIterator;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/BalanceMinibatches.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/BalanceMinibatches.java
index 8eff5cf5d..95fa779a9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/BalanceMinibatches.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/BalanceMinibatches.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -29,10 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Auto balance mini batches by label.
- * @author Adam Gibson
- */
 @AllArgsConstructor
 @Builder
 @Data
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/DataSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/DataSet.java
index db356c44f..57467ace9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/DataSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/DataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -37,13 +41,6 @@ import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 
 
-/**
- * A data transform (example/outcome pairs)
- * The outcomes are specifically for neural network encoding such that
- * any labels that are considered true are 1s. The rest are zeros.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class DataSet implements org.nd4j.linalg.dataset.api.DataSet {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ExistingMiniBatchDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ExistingMiniBatchDataSetIterator.java
index cab15f770..87f430b19 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ExistingMiniBatchDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ExistingMiniBatchDataSetIterator.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -25,12 +28,6 @@ import java.io.File;
 import java.io.IOException;
 import java.util.List;
 
-/**
- * Read in existing mini batches created
- * by the mini batch file datasetiterator.
- *
- * @author Adam Gibson
- */
 public class ExistingMiniBatchDataSetIterator implements DataSetIterator {
 
     public static final String DEFAULT_PATTERN = "dataset-%d.bin";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MiniBatchFileDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MiniBatchFileDataSetIterator.java
index 3c928175b..5a9222865 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MiniBatchFileDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MiniBatchFileDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -29,10 +33,6 @@ import java.util.ArrayList;
 import java.util.List;
 import java.util.UUID;
 
-/**
- * Mini batch file datasetiterator
- * auto partitions a dataset in to mini batches
- */
 @Slf4j
 public class MiniBatchFileDataSetIterator implements DataSetIterator {
     private int batchSize;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MultiDataSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MultiDataSet.java
index 0603d93a3..b4218c820 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MultiDataSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/MultiDataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 import java.io.*;
 import java.util.*;
 
-/**Implementation of {@link org.nd4j.linalg.dataset.api.MultiDataSet}
- * @author Alex Black
- */
 public class MultiDataSet implements org.nd4j.linalg.dataset.api.MultiDataSet {
     private static final ThreadLocal EMPTY_MASK_ARRAY_PLACEHOLDER = new ThreadLocal<>();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/SplitTestAndTrain.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/SplitTestAndTrain.java
index 372b641a9..a69043921 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/SplitTestAndTrain.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/SplitTestAndTrain.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ViewIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ViewIterator.java
index 81ce87ebf..b6def37c8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ViewIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/ViewIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/MultiDataSetIteratorAdapter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/MultiDataSetIteratorAdapter.java
index 6cf2ffbc3..7ca5f922a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/MultiDataSetIteratorAdapter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/MultiDataSetIteratorAdapter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.adapter;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * Iterator that adapts a DataSetIterator to a MultiDataSetIterator
- *
- * @author Alex Black
- */
 public class MultiDataSetIteratorAdapter implements MultiDataSetIterator {
 
     private org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonDataSetIterator.java
index c4b08f258..c5a120fc0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.adapter;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import java.util.List;
 import java.util.NoSuchElementException;
 
-/**
- * A very simple adapter class for converting a single DataSet to a DataSetIterator.
- * Returns a single DataSet as-is, once for each epoch
- *
- * @author Alex Black
- */
 public class SingletonDataSetIterator implements DataSetIterator {
 
     private final DataSet dataSet;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonMultiDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonMultiDataSetIterator.java
index f502cd244..fc043c028 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonMultiDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/adapter/SingletonMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.adapter;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
 import java.util.NoSuchElementException;
 
-/**
- * A very simple adapter class for converting a single MultiDataSet to a MultiDataSetIterator.
- * Returns a single MultiDataSet as-is, once for each epoch
- *
- * @author Alex Black
- */
 public class SingletonMultiDataSetIterator implements MultiDataSetIterator {
 
     private final MultiDataSet multiDataSet;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSet.java
index 5f6731c26..1aadba8c8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api;
 
@@ -29,9 +33,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.Map;
 
-/**
- * Created by agibsonccc on 8/26/14.
- */
 public interface DataSet extends Iterable, Serializable {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetPreProcessor.java
index b493fcd4d..c7a0c28eb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetPreProcessor.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api;
 
 import java.io.Serializable;
 
-/**
- * Pre process a dataset
- */
 public interface DataSetPreProcessor extends Serializable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetUtil.java
index 5c028cbfb..967fe995d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/DataSetUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api;
 
@@ -31,9 +35,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.Arrays;
 
-/**
- * Created by susaneraly on 9/20/16.
- */
 @Slf4j
 public class DataSetUtil {
     public static INDArray tailor2d(@NonNull DataSet dataSet, boolean areFeatures) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSet.java
index 64be2062c..675f66d0b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.io.*;
 import java.util.List;
 
-/**
- * MultiDataSet is an interface for representing complex data sets, that have (potentially) multiple inputs and outputs
- * For example, some complex neural network architectures may have multiple independent inputs, and multiple independent
- * outputs. These inputs and outputs need not even be the same opType of data: for example, images in and sequences out, etc
- */
 public interface MultiDataSet extends Serializable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSetPreProcessor.java
index bb66c3e47..94f839136 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/MultiDataSetPreProcessor.java
@@ -1,23 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api;
 
-/**PreProcessor interface for MultiDataSets
- */
 public interface MultiDataSetPreProcessor {
 
     /** Preprocess the MultiDataSet */
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BaseDatasetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BaseDatasetIterator.java
index 56e9a3bf9..6d36bd480 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BaseDatasetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BaseDatasetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -23,13 +27,6 @@ import org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher;
 import java.util.List;
 import java.util.NoSuchElementException;
 
-/**
- * Baseline implementation includes
- * control over the data fetcher and some basic
- * getters for metadata
- *
- * @author Adam Gibson
- */
 public class BaseDatasetIterator implements DataSetIterator {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockDataSetIterator.java
index 91806883c..c0e096a9d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockDataSetIterator.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
 import org.nd4j.linalg.dataset.api.DataSet;
 
-/**
- * This abstraction provides block access to underlying DataSetIterator
- * @author raver119@gmail.com
- */
 public interface BlockDataSetIterator {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockMultiDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockMultiDataSetIterator.java
index 176cceae4..5909ac9d1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockMultiDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/BlockMultiDataSetIterator.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * This abstraction provides block access to underlying MultiDataSetIterator
- * @author raver119@gmail.com
- */
 public interface BlockMultiDataSetIterator {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/CachingDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/CachingDataSetIterator.java
index da0ebb9cc..31a571ba3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/CachingDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/CachingDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -24,9 +28,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.List;
 
-/**
- * Created by anton on 7/16/16.
- */
 public class CachingDataSetIterator implements DataSetIterator {
     private static final Logger log = LoggerFactory.getLogger(DataSetCache.class);
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIterator.java
index d004214e5..d25ef1fab 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -24,30 +28,6 @@ import java.util.Iterator;
 import java.util.List;
 
 
-/**
- * A DataSetIterator handles
- * traversing through a dataset and preparing
- * 
        
- * data for a neural network.
- * 
        
- * Typical usage of an iterator is akin to:
- * 
        
- * DataSetIterator iter = ..;
- * 
        
- * while(iter.hasNext()) {
- * DataSet d = iter.next();
- * //iterate network...
- * }
- * 
        
- * 
        
- * For custom numbers of examples/batch sizes you can call:
- * 
        
- * iter.next(num)
- * 
        
- * where num is the number of examples to fetch
- *
- * @author Adam Gibson
- */
 public interface DataSetIterator extends Iterator, Serializable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIteratorFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIteratorFactory.java
index 74e9f28ba..5bf714762 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIteratorFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/DataSetIteratorFactory.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
-/**
- * Creates {@link DataSetIterator}.
- * Typically used in command line applications.
- *
- * @author Adam Gibson
- */
 public interface DataSetIteratorFactory {
     /**
      *
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/KFoldIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/KFoldIterator.java
index 4d7d257e1..00e81c22f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/KFoldIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/KFoldIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -22,13 +26,6 @@ import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Splits a dataset (represented as a single DataSet object) into k folds.
- * DataSet is duplicated in memory once.
- * Call .next() to get the k-1 folds to train on and then call .testfold() to get the corresponding kth fold for testing
- * @author Susan Eraly
- * @author Tamas Fenyvesi - modified KFoldIterator following the scikit-learn implementation (December 2018)
- */
 public class KFoldIterator implements DataSetIterator {
 	
 	private static final long serialVersionUID = 6130298603412865817L;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIterator.java
index b6f0b7278..4fa3e73cf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -22,10 +26,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import java.io.Serializable;
 import java.util.Iterator;
 
-/**An iterator for {@link org.nd4j.linalg.dataset.api.MultiDataSet} objects.
- * Typical usage is for machine learning algorithms with multiple independent input (features) and output (labels)
- * arrays.
- */
 public interface MultiDataSetIterator extends Iterator, Serializable {
 
     /** Fetch the next 'num' examples. Similar to the next method, but returns a specified number of examples
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIteratorFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIteratorFactory.java
index 0922e0960..c324e8730 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIteratorFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultiDataSetIteratorFactory.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
-/**
- * Creates {@link MultiDataSetIterator}.
- * Typically used in command line applications.
- *
- * @author Adam Gibson
- */
 public interface MultiDataSetIteratorFactory {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultipleEpochsIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultipleEpochsIterator.java
index 11332cc7d..6ebea0682 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultipleEpochsIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/MultipleEpochsIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelDataSetIterator.java
index 5960d3644..21672eb13 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelDataSetIterator.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
 import org.nd4j.linalg.dataset.DataSet;
 
-/**
- * @author raver119@gmail.com
- */
 public interface ParallelDataSetIterator extends DataSetIterator {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelMultiDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelMultiDataSetIterator.java
index 99a37388a..9a6758232 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelMultiDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/ParallelMultiDataSetIterator.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * @author raver119@gmail.com
- */
 public interface ParallelMultiDataSetIterator extends MultiDataSetIterator {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/SamplingDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/SamplingDataSetIterator.java
index cc6fba068..87c6eafae 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/SamplingDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/SamplingDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/StandardScaler.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/StandardScaler.java
index 4014d7665..757f459ac 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/StandardScaler.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/StandardScaler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -27,15 +31,6 @@ import org.slf4j.LoggerFactory;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * Standard scaler calculates a moving column wise
- * variance and mean
- * http://www.johndcook.com/blog/standard_deviation/
- *
- * @deprecated Use {@link org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize} for equivalent functionality.
- * NormalizerStandardize is more stable (for examples, when a column contains all the same values for every example) but
- * otherwise provides equivalent functionality. See also {@link org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler}
- */
 @Deprecated
 public class StandardScaler {
     private static Logger logger = LoggerFactory.getLogger(StandardScaler.class);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestDataSetIterator.java
index f57025344..982987645 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
@@ -22,9 +26,6 @@ import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Created by susaneraly on 5/26/16.
- */
 public class TestDataSetIterator implements DataSetIterator {
 
     private static final long serialVersionUID = -7569201667767185411L;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestMultiDataSetIterator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestMultiDataSetIterator.java
index 3bfcbcfaa..17ce251e9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestMultiDataSetIterator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/TestMultiDataSetIterator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/DataSetCache.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/DataSetCache.java
index 950bb801d..f3dbf14b3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/DataSetCache.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/DataSetCache.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.cache;
 
 import org.nd4j.linalg.dataset.DataSet;
 
-/**
- * Created by anton on 7/16/16.
- */
 public interface DataSetCache {
     /**
      * Check is given namespace has complete cache of the data set
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileAndMemoryDataSetCache.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileAndMemoryDataSetCache.java
index 9e73deb5b..47e985ef3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileAndMemoryDataSetCache.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileAndMemoryDataSetCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.cache;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import java.io.File;
 import java.nio.file.Path;
 
-/**
- * Created by anton on 7/20/16.
- */
 public class InFileAndMemoryDataSetCache implements DataSetCache {
 
     private InFileDataSetCache fileCache;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileDataSetCache.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileDataSetCache.java
index f21ae0883..2eb7f5dc8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileDataSetCache.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InFileDataSetCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.cache;
 
@@ -22,9 +26,6 @@ import java.io.File;
 import java.io.IOException;
 import java.nio.file.Path;
 
-/**
- * Created by anton on 7/18/16.
- */
 public class InFileDataSetCache implements DataSetCache {
     private File cacheDirectory;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InMemoryDataSetCache.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InMemoryDataSetCache.java
index aaa7a6c26..75a2a9177 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InMemoryDataSetCache.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/cache/InMemoryDataSetCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.cache;
 
@@ -27,9 +31,6 @@ import java.util.HashSet;
 import java.util.Map;
 import java.util.Set;
 
-/**
- * Created by anton on 7/16/16.
- */
 public class InMemoryDataSetCache implements DataSetCache {
 
     private static final Logger log = LoggerFactory.getLogger(DataSetCache.class);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/enums/InequalityHandling.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/enums/InequalityHandling.java
index 4a5f592a3..8c4fdeea5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/enums/InequalityHandling.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/enums/InequalityHandling.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.enums;
 
-/**
- * This enum describes different handling options for situations once one of producer runs out of data
- *
- * @author raver119@gmail.com
- */
 public enum InequalityHandling {
     /**
      * Parallel iterator will stop everything once one of producers runs out of data
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/BaseDataFetcher.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/BaseDataFetcher.java
index 38f3a1ae8..9929812f2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/BaseDataFetcher.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/BaseDataFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.fetcher;
 
@@ -25,12 +29,6 @@ import org.slf4j.LoggerFactory;
 
 import java.util.List;
 
-/**
- * A base class for assisting with creation of matrices
- * with the data transform fetcher
- *
- * @author Adam Gibson
- */
 public abstract class BaseDataFetcher implements DataSetFetcher {
 
     protected static final Logger log = LoggerFactory.getLogger(BaseDataFetcher.class);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/DataSetFetcher.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/DataSetFetcher.java
index 4587975a2..dbbe55f5c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/DataSetFetcher.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/iterator/fetcher/DataSetFetcher.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.iterator.fetcher;
 
@@ -20,15 +24,6 @@ import org.nd4j.linalg.dataset.DataSet;
 
 import java.io.Serializable;
 
-/**
- * A low level interface for loading datasets in to memory.
- * 
        
- * This is used by an {@link org.nd4j.linalg.dataset.api.iterator.DataSetIterator} to
- * 
        
- * handle the specifics of loading data in to memory.
- *
- * @author Adam Gibson
- */
 public interface DataSetFetcher extends Serializable {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractDataSetNormalizer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractDataSetNormalizer.java
index 5dd6bd641..df5883204 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractDataSetNormalizer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractDataSetNormalizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -26,13 +30,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
-/**
- * Abstract base class for normalizers
- * that act upon {@link DataSet} instances
- * or iterators
- *
- * @author Ede Meijer
- */
 @EqualsAndHashCode(callSuper = false)
 public abstract class AbstractDataSetNormalizer extends AbstractNormalizer
                 implements DataNormalization {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractMultiDataSetNormalizer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractMultiDataSetNormalizer.java
index 3a713ad63..58e2bc8cb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractMultiDataSetNormalizer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractMultiDataSetNormalizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Abstract base class for normalizers that act upon {@link MultiDataSet} instances or iterators
- *
- * @author Ede Meijer
- */
 @EqualsAndHashCode(callSuper = false)
 public abstract class AbstractMultiDataSetNormalizer extends AbstractNormalizer
                 implements MultiDataNormalization {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractNormalizer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractNormalizer.java
index b92544843..8a48cfe64 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractNormalizer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/AbstractNormalizer.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
 import java.io.Serializable;
 
-/**
- * Abstract base class for normalizers for both DataSet and MultiDataSet processing
- *
- * @author Ede Meijer
- */
 public abstract class AbstractNormalizer implements Serializable {
     protected abstract boolean isFit();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeDataSetPreProcessor.java
index 82cf7f6d3..f39e5eed2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -20,12 +24,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
-/**
- * A simple Composite DataSetPreProcessor - allows you to apply multiple DataSetPreProcessors sequentially
- * on the one DataSet, in the order they are passed to the constructor
- *
- * @author Alex Black
- */
 public class CompositeDataSetPreProcessor implements DataSetPreProcessor {
 
     private final boolean stopOnEmptyDataSet;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeMultiDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeMultiDataSetPreProcessor.java
index 9a6e46020..248b66798 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeMultiDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CompositeMultiDataSetPreProcessor.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 
-/**
- * A simple Composite MultiDataSetPreProcessor - allows you to apply multiple MultiDataSetPreProcessors sequentially
- * on the one MultiDataSet, in the order they are passed to the constructor
- *
- * @author Alex Black
- */
 public class CompositeMultiDataSetPreProcessor implements MultiDataSetPreProcessor {
 
     private MultiDataSetPreProcessor[] preProcessors;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CropAndResizeDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CropAndResizeDataSetPreProcessor.java
index ba896ad80..2d2abbcd0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CropAndResizeDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/CropAndResizeDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * The CropAndResizeDataSetPreProcessor will crop and resize the processed dataset.
- * NOTE: The data format must be NHWC
- *
- * @author Alexandre Boulanger
- */
 public class CropAndResizeDataSetPreProcessor implements DataSetPreProcessor {
 
     public enum ResizeMethod {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/DataNormalization.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/DataNormalization.java
index c7f5fdb9b..02f61e81c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/DataNormalization.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/DataNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,13 +25,6 @@ import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 
-/**
- * An interface for data normalizers.
- * Data normalizers compute some sort of statistics
- * over a dataset and scale the data in some way.
- *
- * @author Adam Gibson
- */
 public interface DataNormalization extends Normalizer, DataSetPreProcessor {
     /**
      * Iterates over a dataset
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageFlatteningDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageFlatteningDataSetPreProcessor.java
index 94b8cbfe3..5c6c1d7e7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageFlatteningDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageFlatteningDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.api.shape.Shape;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
-/**
- * A DataSetPreProcessor used to flatten a 4d CNN features array to a flattened 2d format (for use in networks such
- * as a DenseLayer/multi-layer perceptron)
- *
- * @author Alex Black
- */
 public class ImageFlatteningDataSetPreProcessor implements DataSetPreProcessor {
     @Override
     public void preProcess(DataSet toPreProcess) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageMultiPreProcessingScaler.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageMultiPreProcessingScaler.java
index ae97d1d10..8e367f620 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageMultiPreProcessingScaler.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImageMultiPreProcessingScaler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,16 +25,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType;
 
-/**
- * A preprocessor specifically for images that applies min max scaling to one or more of the feature arrays
- * in a MultiDataSet.
        
- * Can take a range, so pixel values can be scaled from 0->255 to minRange->maxRange
- * default minRange = 0 and maxRange = 1;
- * If pixel values are not 8 bits, you can specify the number of bits as the third argument in the constructor
- * For values that are already floating point, specify the number of bits as 1
- *
- * @author Alex Black (MultiDataSet version), Susan Eraly (original ImagePreProcessingScaler)
- */
 public class ImageMultiPreProcessingScaler implements MultiDataNormalization {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImagePreProcessingScaler.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImagePreProcessingScaler.java
index c45ba7833..73eb9f457 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImagePreProcessingScaler.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/ImagePreProcessingScaler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -26,15 +30,6 @@ import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType;
 
-/**
- * Created by susaneraly on 6/23/16.
- * A preprocessor specifically for images that applies min max scaling
- * Can take a range, so pixel values can be scaled from 0->255 to minRange->maxRange
- * default minRange = 0 and maxRange = 1;
- * If pixel values are not 8 bits, you can specify the number of bits as the third argument in the constructor
- * For values that are already floating point, specify the number of bits as 1
- *
- */
 @Slf4j
 @Getter
 @Setter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/LabelLastTimeStepPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/LabelLastTimeStepPreProcessor.java
index 43dab2b17..99612defe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/LabelLastTimeStepPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/LabelLastTimeStepPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -26,26 +30,6 @@ import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 
-/**
- * Used to extract the labels from a 3d format (shape: [minibatch, nOut, sequenceLength]) to a 2d format (shape: [minibatch, nOut])
- * where the values are the last time step of the labels.
        
- * 
        
- * For example, for 2 sequences:
        
- * [a, b, c, 0, 0]
        
- * [p, q, r, s, t]
        
- * (where a/b/p etc represet a vector of size numOutputs), and each row is the sequence for each 
        
- * [1, 1, 1, 0, 0]
        
- * [1, 1, 1, 1, 1]
        
- * The new labels would be a rank 2 array of shape [minibatch, nOut] with values:
        
- * [c]
        
- * [t]
        
- * 
        
- * This preprocessor can be used for example to convert from "single non-masked time step" labels format (produced by
- * RecordReaderDataSetIterator, used in RnnOutputLayer) to 2d labels format (used in OutputLayer).
- *
- * @author Alex Black
- */
 public class LabelLastTimeStepPreProcessor implements DataSetPreProcessor {
     @Override
     public void preProcess(DataSet toPreProcess) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MinMaxStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MinMaxStrategy.java
index 116fd5c0c..1644bcba1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MinMaxStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MinMaxStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -30,12 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.io.Serializable;
 
-/**
- * {@link NormalizerStrategy} implementation that will normalize and denormalize data arrays to a given range, based on
- * statistics of the upper and lower bounds of the population
- *
- * @author Ede Meijer
- */
 @Getter
 @EqualsAndHashCode
 public class MinMaxStrategy implements NormalizerStrategy, Serializable {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiDataNormalization.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiDataNormalization.java
index d495ef026..0bed7b210 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiDataNormalization.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiDataNormalization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,13 +25,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 
-/**
- * An interface for multi dataset normalizers.
- * Data normalizers compute some sort of statistics
- * over a MultiDataSet and scale the data in some way.
- *
- * @author Ede Meijer
- */
 public interface MultiDataNormalization extends Normalizer, MultiDataSetPreProcessor {
     /**
      * Iterates over a dataset
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerHybrid.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerHybrid.java
index ec39b8eb9..2e6f88ccf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerHybrid.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerHybrid.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -30,18 +34,6 @@ import java.io.Serializable;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Pre processor for MultiDataSet that can be configured to use different normalization strategies for different inputs
- * and outputs, or none at all. Can be used for example when one input should be normalized, but a different one should
- * be untouched because it's the input for an embedding layer. Alternatively, one might want to mix standardization and
- * min-max scaling for different inputs and outputs.
- * 
        
- * By default, no normalization is applied. There are methods to configure the desired normalization strategy for inputs
- * and outputs either globally or on an individual input/output level. Specific input/output strategies will override
- * global ones.
- *
- * @author Ede Meijer
- */
 @EqualsAndHashCode(callSuper = false)
 @Setter
 public class MultiNormalizerHybrid extends AbstractNormalizer implements MultiDataNormalization, Serializable {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerMinMaxScaler.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerMinMaxScaler.java
index 44c74de66..b9299979c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerMinMaxScaler.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerMinMaxScaler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,12 +25,6 @@ import org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType;
 import org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats;
 import org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats;
 
-/**
- * Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to lie between a minimum
- * and maximum value (by default between 0 and 1)
- *
- * @author Ede Meijer
- */
 public class MultiNormalizerMinMaxScaler extends AbstractMultiDataSetNormalizer {
     public MultiNormalizerMinMaxScaler() {
         this(0.0, 1.0);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerStandardize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerStandardize.java
index 4265eb434..a92ebbdbe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerStandardize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/MultiNormalizerStandardize.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -29,12 +33,6 @@ import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to have 0 mean and
- * a standard deviation of 1
- *
- * @author Ede Meijer
- */
 @EqualsAndHashCode(callSuper = true)
 public class MultiNormalizerStandardize extends AbstractMultiDataSetNormalizer {
     public MultiNormalizerStandardize() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/Normalizer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/Normalizer.java
index 6fe776bbc..ca299af83 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/Normalizer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/Normalizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy;
 import org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType;
 
-/**
- * Base interface for all normalizers
- *
- * @param  either {@link DataSet} or {@link MultiDataSet}
- */
 public interface Normalizer {
     /**
      * Fit a dataset (only compute based on the statistics from this dataset)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerMinMaxScaler.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerMinMaxScaler.java
index 7a1f977b8..37beec8cb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerMinMaxScaler.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerMinMaxScaler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -27,13 +31,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * Pre processor for DataSets that normalizes feature values (and optionally label values) to lie between a minimum
- * and maximum value (by default between 0 and 1)
- *
- * @author susaneraly
- * @author Ede Meijer
- */
 public class NormalizerMinMaxScaler extends AbstractDataSetNormalizer {
     public NormalizerMinMaxScaler() {
         this(0.0, 1.0);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStandardize.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStandardize.java
index f896a2d00..5b76d7eee 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStandardize.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStandardize.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -27,12 +31,6 @@ import org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * Created by susaneraly, Ede Meijer
- * variance and mean
- * Pre processor for DataSet that normalizes feature values (and optionally label values) to have 0 mean and a standard
- * deviation of 1
- */
 @EqualsAndHashCode(callSuper = true)
 public class NormalizerStandardize extends AbstractDataSetNormalizer {
     public NormalizerStandardize(@NonNull INDArray featureMean, @NonNull INDArray featureStd) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStrategy.java
index 0a3cf7ec1..77e719ec4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/NormalizerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats;
 
 import java.io.Serializable;
 
-/**
- * Interface for strategies that can normalize and denormalize data arrays based on statistics of the population
- *
- * @author Ede Meijer
- */
 public interface NormalizerStrategy extends Serializable {
     /**
      * Normalize a data array
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/PermuteDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/PermuteDataSetPreProcessor.java
index a83ece5ec..560f36f4b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/PermuteDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/PermuteDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -21,16 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
-/**
- * The PermuteDataSetPreProcessor will rearrange the dimensions.
- * There are two pre-defined permutation types:
- * - from NCHW to NHWC
- * - from NHWC to NCHW
- *
- * Or, pass the new order to the ctor. For example PermuteDataSetPreProcessor(1, 2, 0) will rearrange the middle dimension first, the last one in the middle and the first one last.
- *
- * @author Alexandre Boulanger
- */
 public class PermuteDataSetPreProcessor implements DataSetPreProcessor {
 
     private final PermutationTypes permutationType;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/RGBtoGrayscaleDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/RGBtoGrayscaleDataSetPreProcessor.java
index a2bcd3224..f49c17216 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/RGBtoGrayscaleDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/RGBtoGrayscaleDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * The RGBtoGrayscaleDataSetPreProcessor will turn a DataSet of a RGB image into a grayscale one.
- * NOTE: Expects data format to be NCHW. After processing, the channel dimension is eliminated. (NCHW -> NHW)
- *
- * @author Alexandre Boulanger
- */
 public class RGBtoGrayscaleDataSetPreProcessor implements DataSetPreProcessor {
 
     private static final float RED_RATIO = 0.3f;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/StandardizeStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/StandardizeStrategy.java
index 5d3ae3976..b3c0e4605 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/StandardizeStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/StandardizeStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -29,12 +33,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 
-/**
- * {@link NormalizerStrategy} implementation that will standardize and de-standardize data arrays, based on statistics
- * of the means and standard deviations of the population
- *
- * @author Ede Meijer
- */
 @EqualsAndHashCode
 public class StandardizeStrategy implements NormalizerStrategy {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/VGG16ImagePreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/VGG16ImagePreProcessor.java
index 7c1ee57bf..df620c99a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/VGG16ImagePreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/VGG16ImagePreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor;
 
@@ -26,12 +30,6 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This is a preprocessor specifically for VGG16.
- * It subtracts the mean RGB value, computed on the training set, from each pixel as reported in:
- * https://arxiv.org/pdf/1409.1556.pdf
- * @author susaneraly
- */
 @Slf4j
 public class VGG16ImagePreProcessor implements DataNormalization {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/BaseUnderSamplingPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/BaseUnderSamplingPreProcessor.java
index 9ff8c40d7..9812b240e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/BaseUnderSamplingPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/BaseUnderSamplingPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.classimbalance;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingMultiDataSetPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingMultiDataSetPreProcessor.java
index 6e6549acd..d4fe5e792 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingMultiDataSetPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingMultiDataSetPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.classimbalance;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * The multidataset version of the UnderSamplingByMaskingPreProcessor
- * Constructor takes a map - keys are indices of the multidataset to apply preprocessor to, values are the target distributions
- * @author susaneraly
- */
 public class UnderSamplingByMaskingMultiDataSetPreProcessor extends BaseUnderSamplingPreProcessor
                 implements MultiDataSetPreProcessor {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingPreProcessor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingPreProcessor.java
index d5d8bd7b4..565190197 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingPreProcessor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/classimbalance/UnderSamplingByMaskingPreProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.classimbalance;
 
@@ -20,19 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 
-/**
- * For use in time series with unbalanced binary classes trained with truncated back prop through time
- * Undersamples the majority class by randomly masking time steps belonging to it
- * Given a target distribution for the minority class and the window size (usually the value used with tbptt)
- * the preprocessor will approximate the given target distribution for every window of given size for every sample of the minibatch
- * By default '0' is considered the majority class and '1' the minorityLabel class
- * Default can be overriden with .overrideMinorityDefault()
- * 
        
- * ONLY masks belonging to the majority class are modified
- * If a tbptt segment contains only majority class labels all time steps in that segment are masked. Can be overriden with
- * donotMaskMinorityWindows() in which case 1 - target distribution % of time steps are masked
- * @author susaneraly
- */
 public class UnderSamplingByMaskingPreProcessor extends BaseUnderSamplingPreProcessor implements DataSetPreProcessor {
 
     private double targetMinorityDist;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/CustomSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/CustomSerializerStrategy.java
index b38c6fc24..f5dacaf11 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/CustomSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/CustomSerializerStrategy.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
 import org.nd4j.linalg.dataset.api.preprocessor.Normalizer;
 
-/**
- * Base class for custom normalizer serializers
- */
 public abstract class CustomSerializerStrategy implements NormalizerSerializerStrategy {
     @Override
     public NormalizerType getSupportedType() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/ImagePreProcessingSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/ImagePreProcessingSerializerStrategy.java
index 342894987..601bcecd2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/ImagePreProcessingSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/ImagePreProcessingSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -20,16 +24,6 @@ import org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler;
 
 import java.io.*;
 
-/**
- * {@link NormalizerSerializerStrategy}
- * for {@link ImagePreProcessingScaler}
- *
- * Saves the min range, max range, and max pixel value as
- * doubles
- *
- *
- * @author Adam Gibson
- */
 public class ImagePreProcessingSerializerStrategy implements NormalizerSerializerStrategy {
     @Override
     public void write(ImagePreProcessingScaler normalizer, OutputStream stream) throws IOException {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MinMaxSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MinMaxSerializerStrategy.java
index 6714a1284..ee7c6fa5c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MinMaxSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MinMaxSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.io.*;
 
-/**
- * Strategy for saving and restoring {@link NormalizerMinMaxScaler} instances in single binary files
- *
- * @author Ede Meijer
- */
 public class MinMaxSerializerStrategy implements NormalizerSerializerStrategy {
     @Override
     public void write(@NonNull NormalizerMinMaxScaler normalizer, @NonNull OutputStream stream) throws IOException {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiHybridSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiHybridSerializerStrategy.java
index ba8ac2623..ecc83f52f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiHybridSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiHybridSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -31,11 +35,6 @@ import java.util.HashMap;
 import java.util.Map;
 import java.util.Set;
 
-/**
- * Strategy for saving and restoring {@link MultiNormalizerHybrid} instances in single binary files
- *
- * @author Ede Meijer
- */
 public class MultiHybridSerializerStrategy implements NormalizerSerializerStrategy {
     /**
      * Serialize a MultiNormalizerHybrid to a output stream
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiMinMaxSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiMinMaxSerializerStrategy.java
index 28585a07e..7de78d1db 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiMinMaxSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiMinMaxSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -25,11 +29,6 @@ import java.io.*;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Strategy for saving and restoring {@link MultiNormalizerMinMaxScaler} instances in single binary files
- *
- * @author Ede Meijer
- */
 public class MultiMinMaxSerializerStrategy implements NormalizerSerializerStrategy {
     /**
      * Serialize a MultiNormalizerMinMaxScaler to a output stream
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiStandardizeSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiStandardizeSerializerStrategy.java
index 0f5320d34..e6a84bbcf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiStandardizeSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/MultiStandardizeSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -25,11 +29,6 @@ import java.io.*;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Strategy for saving and restoring {@link MultiNormalizerStandardize} instances in single binary files
- *
- * @author Ede Meijer
- */
 public class MultiStandardizeSerializerStrategy implements NormalizerSerializerStrategy {
     /**
      * Serialize a MultiNormalizerStandardize to a output stream
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializer.java
index 1dd76e664..5a90aaeb1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -25,11 +29,6 @@ import java.io.*;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Utility for serializing and unserializing {@link Normalizer} instances.
- *
- * @author Ede Meijer
- */
 public class NormalizerSerializer {
 
     private static final String HEADER = "NORMALIZER";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializerStrategy.java
index 3ea1f3ccc..603767343 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -22,12 +26,6 @@ import java.io.IOException;
 import java.io.InputStream;
 import java.io.OutputStream;
 
-/**
- * Strategy for serializing and unserializing a specific opType of normalizer
- *
- * @param  the opType of normalizer this strategy supports
- * @author Ede Meijer
- */
 public interface NormalizerSerializerStrategy {
     /**
      * Serialize a normalizer to a output stream
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerType.java
index db9868b4a..0faf43dba 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/NormalizerType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/StandardizeSerializerStrategy.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/StandardizeSerializerStrategy.java
index cfa470fdd..bccd7366d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/StandardizeSerializerStrategy.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/serializer/StandardizeSerializerStrategy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.serializer;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.io.*;
 
-/**
- * Strategy for saving and restoring {@link NormalizerStandardize} instances in single binary files
- *
- * @author Ede Meijer
- */
 public class StandardizeSerializerStrategy implements NormalizerSerializerStrategy {
     @Override
     public void write(@NonNull NormalizerStandardize normalizer, @NonNull OutputStream stream) throws IOException {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/DistributionStats.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/DistributionStats.java
index ded9251e3..c6395547d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/DistributionStats.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/DistributionStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.stats;
 
@@ -30,13 +34,6 @@ import org.slf4j.LoggerFactory;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * Statistics about the normal distribution of values in data (means and standard deviations).
- * Can be constructed incrementally by using the DynamicCustomOpsBuilder, which is useful for obtaining these statistics from an
- * iterator. Can also load and save from files.
- *
- * @author Ede Meijer
- */
 @Getter
 @EqualsAndHashCode
 public class DistributionStats implements NormalizerStats {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/MinMaxStats.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/MinMaxStats.java
index 17dcda29f..5d7c8d685 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/MinMaxStats.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/MinMaxStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.stats;
 
@@ -28,14 +32,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 
 import java.util.Arrays;
 
-/**
- * Statistics about the lower bounds and upper bounds of values in data.
- * Can be constructed incrementally by using the DynamicCustomOpsBuilder,
- * which is useful for obtaining these statistics from an
- * iterator.
- *
- * @author Ede Meijer
- */
 @EqualsAndHashCode
 @Slf4j
 public class MinMaxStats implements NormalizerStats {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/NormalizerStats.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/NormalizerStats.java
index aabf159b3..1ad0fc4eb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/NormalizerStats.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/api/preprocessor/stats/NormalizerStats.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.api.preprocessor.stats;
 
@@ -20,13 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * Interface for certain statistics about a population of data.
- * Can be constructed incrementally by using the DynamicCustomOpsBuilder, which is useful for obtaining these statistics from an
- * iterator.
- *
- * @author Ede Meijer
- */
 public interface NormalizerStats extends Serializable {
     interface Builder {
         Builder addFeatures(org.nd4j.linalg.dataset.api.DataSet dataSet);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DataSetCallback.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DataSetCallback.java
index fdab9c8f6..31fc964a5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DataSetCallback.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DataSetCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.callbacks;
 
@@ -20,9 +24,6 @@ package org.nd4j.linalg.dataset.callbacks;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 
-/**
- * @author raver119@gmail.com
- */
 public interface DataSetCallback {
 
     void call(DataSet dataSet);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DefaultCallback.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DefaultCallback.java
index 3a6c01ff1..e5692762e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DefaultCallback.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dataset/callbacks/DefaultCallback.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dataset.callbacks;
 
@@ -21,13 +25,6 @@ import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This callback ensures that memory on device is up-to-date with host memory.
- *
- * PLEASE NOTE: This callback is used by default, no need to set it explicitly in AsyncDataSet iterators
- *
- * @author raver119@gmail.com
- */
 public class DefaultCallback implements DataSetCallback {
     @Override
     public void call(DataSet dataSet) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/PCA.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/PCA.java
index d016017aa..9d877025c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/PCA.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/PCA.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dimensionalityreduction;
 
@@ -23,12 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.linalg.ops.transforms.Transforms;
 
-/**
- * PCA class for dimensionality reduction and general analysis
- *
- * @author Adam Gibson
- * @author Luke Czapla - added methods used in non-static usage of PCA
- */
 public class PCA {
 
     private INDArray covarianceMatrix, mean, eigenvectors, eigenvalues;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/RandomProjection.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/RandomProjection.java
index 5eef1817d..779365b50 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/RandomProjection.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/dimensionalityreduction/RandomProjection.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.dimensionalityreduction;
 
@@ -28,9 +32,6 @@ import java.util.Arrays;
 import java.util.List;
 
 
-/**
- * Created by huitseeker on 7/28/17.
- */
 public class RandomProjection {
 
     private int components;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/eigen/Eigen.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/eigen/Eigen.java
index 3bdda679b..8fc178d90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/eigen/Eigen.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/eigen/Eigen.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.eigen;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.inverse.InvertMatrix;
 
-/**
- * Compute eigen values
- *
- * @author Adam Gibson
- */
 public class Eigen {
 
     public static INDArray dummy = Nd4j.scalar(1);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/EnvironmentalAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/EnvironmentalAction.java
index 5cf085fcd..e369b61e2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/EnvironmentalAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/EnvironmentalAction.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env;
 
-/**
- *  This interface describes action applied to a given environment variable
- *
- * @author raver119@protonmail.com
- */
 public interface EnvironmentalAction {
     /**
      * This method returns target environemt variable for this action
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/DebugAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/DebugAction.java
index 968818234..43af50908 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/DebugAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/DebugAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/FallbackAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/FallbackAction.java
index eb4fe18de..d8dabd91a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/FallbackAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/FallbackAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/NDArrayUnpackAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/NDArrayUnpackAction.java
index 9f6af38fe..f79f6b526 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/NDArrayUnpackAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/NDArrayUnpackAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/OmpNumThreadsAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/OmpNumThreadsAction.java
index 61afabd38..670b1eb89 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/OmpNumThreadsAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/OmpNumThreadsAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/VerboseAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/VerboseAction.java
index f5599d4d5..e00f888c2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/VerboseAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/VerboseAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesBypassAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesBypassAction.java
index c34c6e595..9d7877602 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesBypassAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesBypassAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesDebugAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesDebugAction.java
index 247b385e8..2bb87f2bc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesDebugAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesDebugAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesSpillAction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesSpillAction.java
index a0df97dc8..16c615efc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesSpillAction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/env/impl/WorkspacesSpillAction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.env.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JArraySizeException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JArraySizeException.java
index 6ef70d58f..ab24c4a89 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JArraySizeException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JArraySizeException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- * This exception is thrown once if INDArray length exceeds Integer.MAX_VALUE
- *
- * @author raver119@gmail.com
- */
 public class ND4JArraySizeException extends ND4JException {
     public ND4JArraySizeException() {
         super("INDArray length is too big to fit into JVM array");
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JException.java
index 9133eac3d..9d9c752f9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- * Base (unchecked) exception for ND4J errors
- *
- * @author Alex Black
- */
 public class ND4JException extends RuntimeException {
     public ND4JException() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalAccessException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalAccessException.java
index 0a3de353d..e37199e0e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalAccessException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalAccessException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- *  ND4JIllegalAccessException is thrown on illegal access cases, i.e. bad concurrent access on object that doesn't support that
- *
- * @author raver119@protonmail.com
- */
 public class ND4JIllegalAccessException extends ND4JException {
 
     public ND4JIllegalAccessException() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalArgumentException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalArgumentException.java
index 077b7c9b0..6f425419f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalArgumentException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalArgumentException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- * ND4JIllegalStateException: thrown on invalid arguments
- *
- * @author Alex Black
- */
 public class ND4JIllegalArgumentException extends ND4JException {
     public ND4JIllegalArgumentException() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalStateException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalStateException.java
index 8a029dd63..66f9cfb97 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalStateException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JIllegalStateException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- * ND4JIllegalStateException: thrown on invalid operations (for example, matrix multiplication with invalid arrays)
- *
- * @author Alex Black
- */
 public class ND4JIllegalStateException extends ND4JException {
     public ND4JIllegalStateException() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JOpProfilerException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JOpProfilerException.java
index 66ced8014..2f90848fc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JOpProfilerException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JOpProfilerException.java
@@ -1,10 +1,25 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.exception;
 
-/**
- * ND4JOpProfilerException: Thrown by the op profiler (if enabled) for example on NaN panic
- *
- * @author Alex Black
- */
 public class ND4JOpProfilerException extends ND4JIllegalStateException {
     public ND4JOpProfilerException() {
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JUnknownDataTypeException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JUnknownDataTypeException.java
index 4e49b671e..6cd065276 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JUnknownDataTypeException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4JUnknownDataTypeException.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- *
- * @author Alex Black
- */
 public class ND4JUnknownDataTypeException extends ND4JException {
     public ND4JUnknownDataTypeException() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4UnresolvedOutputVariables.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4UnresolvedOutputVariables.java
index f7fecd09a..4e4afb890 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4UnresolvedOutputVariables.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/ND4UnresolvedOutputVariables.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/Nd4jNoSuchWorkspaceException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/Nd4jNoSuchWorkspaceException.java
index 798a63c29..5e6d37aa8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/Nd4jNoSuchWorkspaceException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/exception/Nd4jNoSuchWorkspaceException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.exception;
 
-/**
- * An unchecked (runtime) exception that specifies that the requested workspace does not exist
- *
- * @author Alex Black
- */
 public class Nd4jNoSuchWorkspaceException extends RuntimeException {
 
     public Nd4jNoSuchWorkspaceException(String msg){
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/executors/ExecutorServiceProvider.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/executors/ExecutorServiceProvider.java
index 942da4720..0d4c5c112 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/executors/ExecutorServiceProvider.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/executors/ExecutorServiceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.executors;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseBlasWrapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseBlasWrapper.java
index fbf7634c5..62a4cb445 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseBlasWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseBlasWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseNDArrayFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseNDArrayFactory.java
index 4757f96b6..3eddc856a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseNDArrayFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BaseNDArrayFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -39,13 +43,6 @@ import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Base NDArrayFactory class.
- * 
        
- * Allows specification or data opType and row (c) or column(fortran) major order
- *
- * @author Adam Gibson
- */
 public abstract class BaseNDArrayFactory implements NDArrayFactory {
 
     // We don't really care about dtype field we'll use context instead
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BlasWrapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BlasWrapper.java
index 23fecb85c..b4655fd6f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BlasWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/BlasWrapper.java
@@ -1,21 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-// --- BEGIN LICENSE BLOCK ---
-// --- END LICENSE BLOCK ---
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -26,15 +27,6 @@ import org.nd4j.linalg.api.blas.Level3;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 
-/**
- * This class provides a cleaner direct interface to the BLAS routines by extracting the parameters of the matrices from
- * the matrices itself.
- * 
        
- * For example, you can just pass the vector and do not have to pass the length, corresponding DoubleBuffer, offset and
- * step size explicitly.
- * 
        
- * Currently, all the general matrix routines are implemented.
- */
 public interface BlasWrapper {
     /***************************************************************************
      * BLAS Level 1
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Broadcast.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Broadcast.java
index d1c613341..1dceb90e0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Broadcast.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Broadcast.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -34,11 +38,6 @@ import org.nd4j.linalg.api.ops.impl.transforms.same.AMin;
 
 import java.util.Arrays;
 
-/**
- * Convenience methods for broadcasts
- *
- * @author Alex Black
- */
 public class Broadcast {
 
     private Broadcast(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/DataTypeValidation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/DataTypeValidation.java
index 0bf081445..738141317 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/DataTypeValidation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/DataTypeValidation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Environment.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Environment.java
index 1b788220a..726f68308 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Environment.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Environment.java
@@ -1,25 +1,24 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.factory;
 
-/**
- * ND4J backend Environment instance
- *
- * @author Alex Black
- */
 public interface Environment {
 
     /** BLAS major version number (if applicable) */
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDArrayFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDArrayFactory.java
index 4072f5c1e..6f319e31d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDArrayFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDArrayFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.api.rng.distribution.Distribution;
 import java.io.File;
 import java.util.*;
 
-/**
- * Creation of ndarrays via classpath discovery.
- *
- * @author Adam Gibson
- */
 public interface NDArrayFactory {
 
 
@@ -1058,6 +1057,18 @@ public interface NDArrayFactory {
 
     INDArray create(DataType dataType, long[] shape, long[] strides, char ordering, MemoryWorkspace workspace);
 
+   /**
+     * Create an ndArray with padded Buffer
+     * @param dataType
+     * @param shape
+     * @param paddings
+     * @param paddingOffsets
+     * @param ordering Fortran 'f' or C/C++ 'c' ordering.
+     * @param workspace
+     * @return
+     */
+    INDArray create(DataType dataType, long[] shape, long[] paddings, long[] paddingOffsets, char ordering, MemoryWorkspace workspace);
+
     INDArray createUninitialized(int[] shape, char ordering);
 
     INDArray createUninitialized(long[] shape, char ordering);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDValidation.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDValidation.java
index aee76c260..76d6038be 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDValidation.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/NDValidation.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
index 48e0855e4..30e580848 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -109,11 +113,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicReference;
 import java.util.logging.Logger;
 
-/**
- * Creation of ndarrays via classpath discovery.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class Nd4j {
 
@@ -374,7 +373,7 @@ public class Nd4j {
         INDArray concatArray = Nd4j.valueArrayOf(paShape, val, arr.dataType());
         return appendFlag ? Nd4j.concat(axis, arr, concatArray) : Nd4j.concat(axis, concatArray, arr);
     }
-    
+
     /**
      * Expand the array dimensions.
      * This is equivalent to
@@ -562,7 +561,7 @@ public class Nd4j {
      * @return the ndarray of the specified description.
      */
     public static INDArray create(LongShapeDescriptor descriptor, boolean initialize) {
-        if(descriptor.isEmpty() && descriptor.rank() == 0){
+        if(descriptor.isEmpty() && descriptor.rank() == 0) {
             return Nd4j.empty(descriptor.dataType());
         }
         if (initialize)
@@ -873,7 +872,7 @@ public class Nd4j {
      * See {@link #matmul(INDArray, INDArray, INDArray, boolean, boolean, boolean)}
      */
     public static INDArray matmul(INDArray a, INDArray b, boolean transposeA, boolean transposeB, boolean transposeResult){
-       return matmul(a, b, null, transposeA, transposeB, transposeResult);
+        return matmul(a, b, null, transposeA, transposeB, transposeResult);
     }
 
     /**
@@ -1103,7 +1102,7 @@ public class Nd4j {
             ret = DATA_BUFFER_FACTORY_INSTANCE.createFloat(offset, data, length);
         return ret;
     }
-    
+
     /**
      * Creates a buffer of the specified length based on the data opType
      *
@@ -2646,7 +2645,7 @@ public class Nd4j {
     public static void clearNans(INDArray arr) {
         getExecutioner().exec(new ReplaceNans(arr, Nd4j.EPS_THRESHOLD));
     }
-    
+
     /**
      * Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
      *
@@ -2746,7 +2745,7 @@ public class Nd4j {
     public static INDArray choice(INDArray source, INDArray probs, INDArray target) {
         return choice(source, probs, target, Nd4j.getRandom());
     }
-    
+
     // @see tag works well here.
     /**
      * This method returns new INDArray instance, sampled from Source array with probabilities given in Probs.
@@ -3737,10 +3736,10 @@ public class Nd4j {
      */
     public static INDArray empty(DataType type) {
         if(EMPTY_ARRAYS[type.ordinal()] == null){
-            try(MemoryWorkspace ignored = Nd4j.getMemoryManager().scopeOutOfWorkspaces()){
+            try(MemoryWorkspace ignored = Nd4j.getMemoryManager().scopeOutOfWorkspaces()) {
                 val ret = INSTANCE.empty(type);
                 EMPTY_ARRAYS[type.ordinal()] = ret;
-                    }
+            }
         }
         return EMPTY_ARRAYS[type.ordinal()];
     }
@@ -4094,7 +4093,7 @@ public class Nd4j {
      * @param buffer data data buffer used for initialisation.
      * @return the created ndarray.
      */
-     public static INDArray create(DataBuffer buffer) {
+    public static INDArray create(DataBuffer buffer) {
         return INSTANCE.create(buffer);
     }
 
@@ -4246,7 +4245,7 @@ public class Nd4j {
         if(shape.length == 0)
             return Nd4j.scalar(dataType(), 0.0);
 
-       return INSTANCE.create(shape, ordering);
+        return INSTANCE.create(shape, ordering);
     }
 
     // used  often.
@@ -4831,7 +4830,7 @@ public class Nd4j {
     public static INDArray stack(int axis, @NonNull INDArray... values){
         Preconditions.checkArgument(values != null && values.length > 0, "No inputs: %s", (Object[]) values);
         Preconditions.checkState(axis >= -(values[0].rank()+1) && axis < values[0].rank()+1, "Invalid axis: must be between " +
-                "%s (inclusive) and %s (exclusive) for rank %s input, got %s", -(values[0].rank()+1), values[0].rank()+1,
+                        "%s (inclusive) and %s (exclusive) for rank %s input, got %s", -(values[0].rank()+1), values[0].rank()+1,
                 values[0].rank(), axis);
 
         Stack stack = new Stack(values, null, axis);
@@ -5851,7 +5850,7 @@ public class Nd4j {
         }
 
     }
-  
+
     public static DataType defaultFloatingPointType() {
         return defaultFloatingPointDataType.get();
     }
@@ -6583,7 +6582,7 @@ public class Nd4j {
     @Deprecated
     public static void scatterUpdate(ScatterUpdate.UpdateOp op, @NonNull INDArray array, @NonNull INDArray indices, @NonNull INDArray updates, int... axis) {
         Preconditions.checkArgument(indices.dataType() == DataType.INT || indices.dataType() == DataType.LONG,
-                                "Indices should have INT data type");
+                "Indices should have INT data type");
         Preconditions.checkArgument(array.dataType() == updates.dataType(), "Array and updates should have the same data type");
         getExecutioner().scatterUpdate(op, array, indices, updates, axis);
     }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4jBackend.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4jBackend.java
index d7d69de57..4f85011a4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4jBackend.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4jBackend.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -30,38 +33,6 @@ import java.net.URLClassLoader;
 import java.security.PrivilegedActionException;
 import java.util.*;
 
-/**
- * An ND4j backend.
- *
- * A "backend" is also described here: https://deeplearning4j.konduit.ai/nd4j/backend
- *
- * A backend also has 2  variables to be aware of.
- * 1 is the environment variable, ND4J_DYNAMIC_LOAD_CLASSPATH
- * This will define a uri path separated by ; where jars will be
- * loaded from the path and dynamically loaded.
- *
- * The other is the system property:
- * org.nd4j.backend.dynamicbackend
- *
- * This has the same use case but is for system properties.
- * Of note here is that the system property takes loading precedence over
- * the environment variable. If you want to just use the environment variable,
- * don't define the system property.
- *
- * Both of these variables are for dynamically loading a backend relative to a path.
- * The main idea here is for distributed environments like spark where
- * you have multiple worker nodes with some having gpus and others not.
- *
- * When you define an environment variable on the server, you can
- * have a hardware jar file load with respect to the node nd4j is installed on.
- * The system property is mainly for flexibility and probably shouldn't be
- * used in practice.
- *
- * @author eronwright
- * @author Adam Gibson
- * @author saudet
- *
- */
 @Slf4j
 public abstract class Nd4jBackend {
 
@@ -148,6 +119,10 @@ public abstract class Nd4jBackend {
 
     public abstract Environment getEnvironment();
 
+    /**
+     * Get the build information of the backend
+     */
+    public abstract String buildInfo();
 
     /**
      * Loads the best available backend.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/RandomFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/RandomFactory.java
index c1fa4f73a..93911850d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/RandomFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/RandomFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory;
 
@@ -20,11 +24,6 @@ import org.nd4j.linalg.api.rng.Random;
 
 import java.lang.reflect.Constructor;
 
-/**
- * This class acts as factory for new Random objects and thread-isolated holder for previously created Random instances
- *
- * @author raver119@gmail.com
- */
 public class RandomFactory {
     private ThreadLocal threadRandom = new ThreadLocal<>();
     private Class randomClass;
@@ -88,7 +87,8 @@ public class RandomFactory {
     }
 
     /**
-     * This method returns new onject implementing Random interface, initialized with seed value, with size of elements in buffer
+     * This method returns a new object implementing {@link Random}
+     * interface, initialized with seed value, with size of elements in buffer
      *
      * @param seed rng seed
      * @param size size of underlying buffer
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBase.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBase.java
index 1b2718e2e..be72896aa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBase.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBase.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBitwise.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBitwise.java
index 901491226..7bab6e455 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBitwise.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDBitwise.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDCNN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDCNN.java
index 57aa1b36a..38bccd9a6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDCNN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDCNN.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDImage.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDImage.java
index e00fae7d6..5e6d2c947 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDImage.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDImage.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLinalg.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLinalg.java
index 378ef0cd8..3bf70c4b0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLinalg.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLinalg.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLoss.java
index d6ed94088..ec9f2b8b2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDLoss.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDMath.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDMath.java
index d27167e9d..2387e9177 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDMath.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDMath.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDNN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDNN.java
index af69202d6..1ae68e99d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDNN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDNN.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRNN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRNN.java
index 47b93b188..a60e0ef9e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRNN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRNN.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRandom.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRandom.java
index 70392554b..76f57c52a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRandom.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/ops/NDRandom.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-//================== GENERATED CODE - DO NOT MODIFY THIS FILE ==================
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.factory.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/Heartbeat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/Heartbeat.java
index 5ffbea944..32f6c7263 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/Heartbeat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/Heartbeat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.heartbeat;
 
@@ -23,12 +27,6 @@ import org.nd4j.linalg.heartbeat.reports.Task;
 
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- *
- * Heartbeat implementation for ND4j
- *
- * @author raver119@gmail.com
- */
 public class Heartbeat {
     private static final Heartbeat INSTANCE = new Heartbeat();
     private volatile long serialVersionID;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Environment.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Environment.java
index da47b574b..f58ab7ea7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Environment.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Environment.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.heartbeat.reports;
 
@@ -21,11 +25,6 @@ import lombok.NoArgsConstructor;
 
 import java.io.Serializable;
 
-/**
- * Bean/POJO that describes current jvm/node
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 public class Environment implements Serializable {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Event.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Event.java
index c79dc4316..ff26c1d58 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Event.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Event.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.heartbeat.reports;
 
-/**
- * @author raver119@gmail.com
- */
 public enum Event {
     STANDALONE, // local training event
     EXPORT, // export of model
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Task.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Task.java
index fc8703dfd..b9df4d545 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Task.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/reports/Task.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.heartbeat.reports;
 
 import lombok.Data;
 import lombok.NoArgsConstructor;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 public class Task {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/EnvironmentUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/EnvironmentUtils.java
index abbcd686a..e8ecf94cd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/EnvironmentUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/EnvironmentUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.heartbeat.utils;
 
@@ -24,9 +28,6 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Random;
 
-/**
- * @author raver119@gmail.com
- */
 public class EnvironmentUtils {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/TaskUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/TaskUtils.java
index c3e4eea11..73e3f0d56 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/TaskUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/heartbeat/utils/TaskUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.heartbeat.utils;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.heartbeat.reports.Task;
 
-/**
- * @author raver119@gmail.com
- */
 public class TaskUtils {
     private TaskUtils() {}
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/BooleanIndexing.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/BooleanIndexing.java
index 49dfd1458..8d203ce56 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/BooleanIndexing.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/BooleanIndexing.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/INDArrayIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/INDArrayIndex.java
index 22cb495e2..ed3e98728 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/INDArrayIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/INDArrayIndex.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * An index in to a particular dimension.
- * This handles traversing indexes along a dimension
- * such as particular rows, or intervals.
- *
- * @author Adam Gibson
- */
 public interface INDArrayIndex {
     /**
      * The ending for this index
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IndexInfo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IndexInfo.java
index d1b03e098..8499f9f58 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IndexInfo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IndexInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/Indices.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/Indices.java
index 647b8f4b8..fae60a3fe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/Indices.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/Indices.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IntervalIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IntervalIndex.java
index 01f82ddf4..7a0df157e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IntervalIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/IntervalIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndex.java
index 04975f0a5..cfd583d63 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndexAll.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndexAll.java
index 6ee73c9d4..72049187b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndexAll.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndexAll.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NewAxis.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NewAxis.java
index ec33a8676..a18aa6e71 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NewAxis.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NewAxis.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * New axis index.
- * Specified for wanting a new dimension
- * in an ndarray
- *
- * @author Adam Gibson
- */
 public class NewAxis implements INDArrayIndex {
     @Override
     public long end() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/PointIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/PointIndex.java
index 33cb996e9..0d33aa2f1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/PointIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/PointIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/SpecifiedIndex.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/SpecifiedIndex.java
index f7aa28cd6..40a396288 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/SpecifiedIndex.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/SpecifiedIndex.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterOrEqualsThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterOrEqualsThan.java
index e35e0fc67..6bbd65126 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterOrEqualsThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterOrEqualsThan.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.apache.commons.math3.util.FastMath;
 
-/**
- * Boolean condition on absolute value: abs(x) >= value
- *
- * @author raver119@gmail.com
- */
 public class AbsValueGreaterOrEqualsThan extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterThan.java
index 5af1875f0..8479c9b9f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueGreaterThan.java
@@ -1,25 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.apache.commons.math3.util.FastMath;
 
-/**Boolean condition on absolute value: abs(x) > value
- */
 public class AbsValueGreaterThan extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessOrEqualsThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessOrEqualsThan.java
index ec58f4f89..7a941463d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessOrEqualsThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessOrEqualsThan.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.apache.commons.math3.util.FastMath;
 
-/**
- * Boolean condition on absolute value: abs(x) <= value
- *
- * @author raver119@gmail.com
- */
 public class AbsValueLessOrEqualsThan extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessThan.java
index 704378505..40383223d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/AbsValueLessThan.java
@@ -1,25 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.apache.commons.math3.util.FastMath;
 
-/**Boolean condition on absolute value: abs(x) < value
- */
 public class AbsValueLessThan extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/And.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/And.java
index 1b027fe55..82178d754 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/And.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/And.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/9/14.
- */
 public class And implements Condition {
 
     private Condition[] conditions;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/BaseCondition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/BaseCondition.java
index 7b21a15f1..0b5b619a6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/BaseCondition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/BaseCondition.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public abstract class BaseCondition implements Condition {
     protected Number value;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Condition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Condition.java
index dd0a3af83..7f92450f3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Condition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Condition.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.common.function.Function;
 
-/**
- * Condition for boolean indexing
- */
 public interface Condition extends Function {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionBuilder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionBuilder.java
index dd893c314..4b1b58431 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionBuilder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionBuilder.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.common.util.ArrayUtil;
 
-/**
- * Mini dsl for building conditions
- *
- * @author Adam Gibson
- */
 public class ConditionBuilder {
 
     private Condition soFar;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionEquals.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionEquals.java
index a15ee7862..cd8e78b87 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionEquals.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/ConditionEquals.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Returns true when all of the conditions equal each other
- *
- * @author Adam Gibson
- */
 public class ConditionEquals implements Condition {
 
     private Condition[] conditions;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Conditions.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Conditions.java
index f426223ef..bc7bdf40b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Conditions.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Conditions.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Static class for conditions
- *
- * @author Adam Gibson
- */
 public class Conditions {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonEquals.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonEquals.java
index 0d6d9d74e..3596143d3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonEquals.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonEquals.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class EpsilonEquals extends BaseCondition {
     private double eps = Nd4j.EPS_THRESHOLD;
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonNotEquals.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonNotEquals.java
index b2f53ea17..87c67a981 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonNotEquals.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EpsilonNotEquals.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class EpsilonNotEquals extends BaseCondition {
     private double eps = Nd4j.EPS_THRESHOLD;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EqualsCondition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EqualsCondition.java
index 372622c43..a535f807e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EqualsCondition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/EqualsCondition.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class EqualsCondition extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThan.java
index 6b3eaf3ef..56b7777e4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThan.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class GreaterThan extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThanOrEqual.java
index 790809443..729c99075 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/GreaterThanOrEqual.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class GreaterThanOrEqual extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsFinite.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsFinite.java
index 1ce3bafbe..0c030b2aa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsFinite.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsFinite.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class IsFinite extends BaseCondition {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsInfinite.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsInfinite.java
index 8cd0a9313..5d114c738 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsInfinite.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsInfinite.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class IsInfinite extends BaseCondition {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsNaN.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsNaN.java
index ba1fe03ad..08a2ef7fe 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsNaN.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/IsNaN.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Condition for whether an element is NaN
- *
- * @author Adam Gibson
- */
 public class IsNaN extends BaseCondition {
 
     public IsNaN() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThan.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThan.java
index 3cc1b2d70..1b718e9f0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThan.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThan.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class LessThan extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThanOrEqual.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThanOrEqual.java
index 06cdea2be..5c93a1d0a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThanOrEqual.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/LessThanOrEqual.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class LessThanOrEqual extends BaseCondition {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Not.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Not.java
index 8259130b4..db6cfd6a7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Not.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Not.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/9/14.
- */
 public class Not implements Condition {
 
     private Condition opposite;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotEqualsCondition.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotEqualsCondition.java
index ad40ae159..ad70cc90b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotEqualsCondition.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotEqualsCondition.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class NotEqualsCondition extends BaseCondition {
     public NotEqualsCondition(Number value) {
         super(value);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotFinite.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotFinite.java
index 7e4cfaa75..c88b71b26 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotFinite.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/NotFinite.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class NotFinite extends BaseCondition {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Or.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Or.java
index 3dc284988..6c1f6adee 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Or.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/conditions/Or.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.conditions;
 
-/**
- * An or between 2 conditions.
- *
- * @author Adam Gibson
- */
 public class Or implements Condition {
 
     private Condition[] conditions;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Identity.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Identity.java
index c2d379ab0..1863c6886 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Identity.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Identity.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.functions;
 
 
 import org.nd4j.common.function.Function;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class Identity implements Function {
     @Override
     public Number apply(Number input) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/StableNumber.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/StableNumber.java
index 67ea08ddf..62d1e23c3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/StableNumber.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/StableNumber.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.functions;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Value.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Value.java
index 991fd467b..6464a7db7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Value.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Value.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.functions;
 
 import org.nd4j.common.function.Function;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class Value implements Function {
     private Number number;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Zero.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Zero.java
index 6096c53fe..1a574daf2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Zero.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/functions/Zero.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.indexing.functions;
 
 import org.nd4j.common.function.Function;
 
-/**
- * Created by agibsonccc on 10/8/14.
- */
 public class Zero implements Function {
     @Override
     public Number apply(Number input) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/inverse/InvertMatrix.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/inverse/InvertMatrix.java
index 5465094b5..f3b58e799 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/inverse/InvertMatrix.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/inverse/InvertMatrix.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.inverse;
 
@@ -24,9 +28,6 @@ import org.apache.commons.math3.linear.SingularMatrixException;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.checkutil.CheckUtil;
 
-/**
- * Created by agibsoncccc on 11/30/15.
- */
 public class InvertMatrix {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AMSGradUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AMSGradUpdater.java
index 37d1cb01d..864d1cac9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AMSGradUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AMSGradUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -30,12 +33,6 @@ import org.nd4j.linalg.learning.config.AMSGrad;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * The AMSGrad updater
        
- * Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
- *
- * @author Alex Black
- */
 @Data
 public class AMSGradUpdater implements GradientUpdater {
     public static final String M_STATE = "M";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaDeltaUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaDeltaUpdater.java
index 6aa7d7ab4..83a740be8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaDeltaUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaDeltaUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -27,15 +30,6 @@ import org.nd4j.linalg.learning.config.AdaDelta;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
- * https://arxiv.org/pdf/1212.5701v1.pdf
- * 
        
- * Ada delta updater. More robust adagrad that keeps track of a moving window
- * average of the gradient rather than the every decaying learning rates of adagrad
- *
- * @author Adam Gibson
- */
 @Data
 public class AdaDeltaUpdater implements GradientUpdater {
     public static final String MSG_STATE = "msg";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaGradUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaGradUpdater.java
index 211022366..21f24412e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaGradUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaGradUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -28,14 +31,6 @@ import java.util.Collections;
 import java.util.Map;
 
 
-/**
- * Vectorized Learning Rate used per Connection Weight
- * 
        
- * Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/
- * See also http://cs231n.github.io/neural-networks-3/#ada
- *
- * @author Adam Gibson
- */
 @Data
 public class AdaGradUpdater implements GradientUpdater {
     public static final String GRAD_STATE = "grad";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaMaxUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaMaxUpdater.java
index 06fbde54d..7f7d27593 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaMaxUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdaMaxUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdamUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdamUpdater.java
index e72bfe5a4..6ad7255af 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdamUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/AdamUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/GradientUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/GradientUpdater.java
index 298c00e59..1cfca0e7d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/GradientUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/GradientUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -21,12 +25,6 @@ import org.nd4j.linalg.learning.config.IUpdater;
 
 import java.util.Map;
 
-/**
- * Gradient modifications: Calculates an update and tracks related information for gradient changes over time
- * for handling updates.
- *
- * @author Alex Black
- */
 public interface GradientUpdater {
 
     T getConfig();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NadamUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NadamUpdater.java
index 1cea01cb7..1bc3adcf5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NadamUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NadamUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NesterovsUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NesterovsUpdater.java
index 2a18b78d8..891bec8a5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NesterovsUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NesterovsUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -27,13 +30,6 @@ import org.nd4j.linalg.learning.config.Nesterovs;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * Nesterov's momentum.
- * Keep track of the previous layer's gradient
- * and use it as a way of updating the gradient.
- *
- * @author Adam Gibson
- */
 @Data
 public class NesterovsUpdater implements GradientUpdater {
     public static final String V_STATE = "V";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NoOpUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NoOpUpdater.java
index 694852645..a57e9b931 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NoOpUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/NoOpUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.learning.config.NoOp;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * NoOp updater: gradient updater that makes no changes to the gradient
- *
- * @author Alex Black
- */
 @Data
 public class NoOpUpdater implements GradientUpdater {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/RmsPropUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/RmsPropUpdater.java
index 866f9ce0d..8a30ac475 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/RmsPropUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/RmsPropUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
@@ -27,14 +30,6 @@ import org.nd4j.linalg.learning.config.RmsProp;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * RMS Prop updates:
- * 
        
- * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf
- * http://cs231n.github.io/neural-networks-3/#ada
- *
- * @author Adam Gibson
- */
 @Data
 public class RmsPropUpdater implements GradientUpdater {
     public static final String G_STATE = "G";
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/SgdUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/SgdUpdater.java
index 2476c4c3e..dc359ec02 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/SgdUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/SgdUpdater.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AMSGrad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AMSGrad.java
index b823bf71a..af96e84db 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AMSGrad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AMSGrad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -27,12 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Arrays;
 import java.util.Map;
 
-/**
- * The AMSGrad updater
        
- * Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
- *
- * @author Alex Black
- */
 @Data
 @Builder(builderClassName = "Builder")
 public class AMSGrad implements IUpdater {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaDelta.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaDelta.java
index c6cb4af42..208cfb67e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaDelta.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaDelta.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -27,17 +31,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 import java.util.Arrays;
 import java.util.Map;
 
-/**
- * https://www.matthewzeiler.com/mattzeiler/adadelta.pdf
- * https://arxiv.org/pdf/1212.5701v1.pdf
- * 
        
- * Ada delta updater. More robust adagrad that keeps track of a moving window
- * average of the gradient rather than the every decaying learning rates of adagrad
- * 
        
- * Note: AdaDelta is unique in that it doesn't require manual setting of a learning rate
- *
- * @author Adam Gibson
- */
 @Data
 @AllArgsConstructor
 @Builder(builderClassName = "Builder")
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaGrad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaGrad.java
index bb9036b71..67481b04f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaGrad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaGrad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -26,14 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Map;
 
-/**
- * Vectorized Learning Rate used per Connection Weight
- * 
        
- * Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/
- * See also http://cs231n.github.io/neural-networks-3/#ada
- *
- * @author Adam Gibson
- */
 @Data
 @Builder(builderClassName = "Builder")
 public class AdaGrad implements IUpdater {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaMax.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaMax.java
index 848bb3408..a92c47fde 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaMax.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/AdaMax.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Adam.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Adam.java
index 6901af59c..5eaefbb6d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Adam.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Adam.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/IUpdater.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/IUpdater.java
index a40aa697c..55ff3226b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/IUpdater.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/IUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -26,12 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 import java.io.Serializable;
 import java.util.Map;
 
-/**
- * IUpdater interface: used for configuration and instantiation of updaters - both built-in and custom.
        
- * Note that the actual implementations for updaters are in {@link GradientUpdater}
- *
- * @author Alex Black
- */
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE,
                 setterVisibility = JsonAutoDetect.Visibility.NONE)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nadam.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nadam.java
index 781bd2d07..0e09643e4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nadam.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nadam.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -27,12 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Arrays;
 import java.util.Map;
 
-/**
- * Setup and DynamicCustomOpsBuilder for Nadam updater.
- * https://arxiv.org/pdf/1609.04747.pdf
- *
- * @author Andrey Spiridonov
- */
 @Data
 @Builder(builderClassName = "Builder")
 public class Nadam implements IUpdater {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nesterovs.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nesterovs.java
index 3709694c4..0512de280 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nesterovs.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Nesterovs.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -27,13 +31,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Map;
 
-/**
- * Nesterov's momentum.
- * Keep track of the previous layer's gradient
- * and use it as a way of updating the gradient.
- *
- * @author Adam Gibson
- */
 @AllArgsConstructor
 @Data
 @Builder(builderClassName = "Builder")
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/NoOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/NoOp.java
index a05dbe50a..f2258a747 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/NoOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/NoOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -24,11 +28,6 @@ import org.nd4j.linalg.schedule.ISchedule;
 
 import java.util.Map;
 
-/**
- * NoOp updater: gradient updater that makes no changes to the gradient
- *
- * @author Alex Black
- */
 @Data
 public class NoOp implements IUpdater {
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/RmsProp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/RmsProp.java
index 0b133879a..1d54876d5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/RmsProp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/RmsProp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
@@ -26,14 +30,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 
 import java.util.Map;
 
-/**
- * RMS Prop updates:
- * 
        
- * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf
- * http://cs231n.github.io/neural-networks-3/#ada
- *
- * @author Adam Gibson
- */
 @Data
 @Builder(builderClassName = "Builder")
 public class RmsProp implements IUpdater {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Sgd.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Sgd.java
index a859f5952..d41cf2b02 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Sgd.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/config/Sgd.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.config;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/legacy/AdaGrad.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/legacy/AdaGrad.java
index fddfd68f9..709a86537 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/legacy/AdaGrad.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/legacy/AdaGrad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.legacy;
 
@@ -28,9 +32,6 @@ import java.io.Serializable;
 import static org.nd4j.linalg.ops.transforms.Transforms.sqrt;
 
 
-/**
- * Legacy AdaGrad implementation for use in NLP etc applications
- */
 @Data
 @NoArgsConstructor
 public class AdaGrad implements Serializable {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L1Regularization.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L1Regularization.java
index b5d1aa84c..04146221f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L1Regularization.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L1Regularization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.regularization;
 
@@ -26,14 +30,6 @@ import org.nd4j.linalg.schedule.FixedSchedule;
 import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * L1 regularization: Implements updating as follows:
        
- * {@code L = loss + l1 * sum_i abs(w[i])}
        
- * {@code w[i] -= updater(gradient[i] + l1 * sign(w[i])) - where sign(w[i]) is +/- 1
        
- * Note that L1 regularization is applied before the updater (Adam/Nesterov/etc) is applied.
- *
- * @author Alex Black
- */
 @Data
 public class L1Regularization implements Regularization {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L2Regularization.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L2Regularization.java
index 8ef6e85fa..d95f5140d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L2Regularization.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/L2Regularization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.regularization;
 
@@ -25,22 +29,6 @@ import org.nd4j.linalg.schedule.FixedSchedule;
 import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * L2 regularization: very similar to {@link WeightDecay}, but is applied before the updater is applied, not after.
- * 
        
- * 
        
- * Implements updating as follows:
        
- * {@code L = loss + l2 * 0.5 * sum_i w[i]^2}
        
- * {@code w[i] -= updater(gradient[i] + l2 * w[i])
        
- * That is, L2 regularization is applied before the updater (Adam/Nesterov/etc) is applied to the gradients. This differs
- * from {@link WeightDecay} mainly in that WeightDecay is applied after the updater.
- *
- * See also: {@link WeightDecay} which should generally be preferred in practice.
        
- * See https://www.fast.ai/2018/07/02/adam-weight-decay/
- * for further details
- *
- * @author Alex Black
- */
 @Data
 public class L2Regularization implements Regularization {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/Regularization.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/Regularization.java
index 74376b502..83ff01002 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/Regularization.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/Regularization.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.regularization;
 
@@ -21,25 +25,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * Regularization API for magnitude-based regularization techniques such as:
        
- * {@link L1Regularization}
        
- * {@link L2Regularization}
        
- * {@link WeightDecay}
        
- * 
        
- * Implementations should have the following features:
        
- * 1. Have a loss function (score) component that is based on the input (usually parameter) array
        
- * 2. Modify the gradients (or updates) array based on the current input array (parameters)
        
- * 3. Optionally, use the current learning rate when modifying gradients
        
- * 
        
- * Note that generally this type of regularization is applied to parameters, but in principle this type of regularization
- * can be applied to activations also.
- * 
        
- * This Regularization interface cannot be used for all types of regularization, however; for example, the API
- * is not appropriate for implementing DropOut/DropConnect regularization.
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface Regularization extends Serializable {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/WeightDecay.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/WeightDecay.java
index 5be505b36..29d8766a3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/WeightDecay.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/learning/regularization/WeightDecay.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.learning.regularization;
 
@@ -25,35 +29,6 @@ import org.nd4j.linalg.schedule.FixedSchedule;
 import org.nd4j.linalg.schedule.ISchedule;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * WeightDecay regularization: Updater is not applied to the regularization term gradients, and (optionally) applies the learning rate.
- *
- * Loss: {@code L = loss + coeff * 0.5 * sum_i w[i]^2}
        
- * (Same as {@link L2Regularization}
- *
- * For all cases, {@code w -= update}
        
- * If {@code applyLR == true}, we have:
- * {@code update = updater(gradient) + lr * coeff * w}
        
- * Where {@code lr} is the learning rate for the current iteration/epoch (accounting for LR schedules if present).
        
- * 
        
- * If {@code applyLR == false}, we have:
        
- * {@code update = updater(gradient) + coeff * w}
        
- * 
        
- * Note that with some learning rate schedules (such as cyclical LR schedules), it may be preferable to not have
- * the learning rate and regularization amount linked (i.e., applyLR=false); in other learning rate schedules, it may
- * be desirable (such as monotonically decaying learning rate schedules, to avoid the regularization gradients (updates)
- * overwhelming the prediction loss gradients (updates) which could occur with applyLR==false combined with an arbitrarily
- * small learning rate.
        
- *
- * 
        
- * Similar to L2 regularization, but WeightDecay should usually be preferred in practice.
        
- * See https://www.fast.ai/2018/07/02/adam-weight-decay/
- * for further details.
        
- * The primary difference between L2 regularization and WeightDecay is that L2 regularization is applied before the updater
- * (Adam/Nesterov/etc); WeightDecay applied after the updater.
- *
- * @author Alex Black
- */
 @Data
 public class WeightDecay implements Regularization {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/ILossFunction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/ILossFunction.java
index 7af044937..992dd52ae 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/ILossFunction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/ILossFunction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions;
 
@@ -25,9 +29,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * Interface for loss functions
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class",
         defaultImpl = LegacyILossFunctionDeserializerHelper.class)
 public interface ILossFunction extends Serializable {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossFunctions.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossFunctions.java
index 1ff6c8dfe..b18a4887f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossFunctions.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossFunctions.java
@@ -1,29 +1,28 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions;
 
 import org.nd4j.linalg.lossfunctions.impl.*;
 
 
-/**
- * Central class for loss functions
- * @author Adam Gibson
- */
 public class LossFunctions {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossUtil.java
index 9ac7e86cd..bb91202a0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/LossUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions;
 
@@ -20,9 +24,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Arrays;
 
-/**
- * Created by Alex on 14/09/2016.
- */
 public class LossUtil {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/SameDiffLoss.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/SameDiffLoss.java
index e78376b5f..f839d4160 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/SameDiffLoss.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/SameDiffLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.lossfunctions;
 
 import org.nd4j.autodiff.samediff.SDVariable;
@@ -25,17 +29,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * SameDiff loss function.
- *
- * This class can be extended to create Deeplearning4j loss functions by defining one single method only:
- * {@link #defineLoss(SameDiff, SDVariable, SDVariable)}. This method is used to define the loss function on a
- * per example basis - i.e., the output should be an array with shape [minibatch].
        
- * 
        
- * For example, the mean squared error (MSE) loss function can be defined using:
        
- * {@code return labels.squaredDifference(layerInput).mean(1);}
- *
- */
 public abstract class SameDiffLoss implements ILossFunction {
     protected transient SameDiff sd;
     protected transient SDVariable scorePerExampleVariable;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossBinaryXENT.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossBinaryXENT.java
index f32cb7a2d..db8bd50aa 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossBinaryXENT.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossBinaryXENT.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -39,14 +43,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- * Binary cross entropy loss function
- * 
- * https://en.wikipedia.org/wiki/Cross_entropy#Cross-entropy_error_function_and_logistic_regression
- * Labels are assumed to take values 0 or 1
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter @Setter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossCosineProximity.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossCosineProximity.java
index 1f8ac1942..96147d777 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossCosineProximity.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossCosineProximity.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -27,9 +31,6 @@ import org.nd4j.common.primitives.Pair;
 
 import java.util.Arrays;
 
-/**
- * Created by susaneraly on 9/9/16.
- */
 @EqualsAndHashCode
 public class LossCosineProximity implements ILossFunction {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossFMeasure.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossFMeasure.java
index dad0b9a7a..bec17a86c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossFMeasure.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossFMeasure.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -25,32 +29,6 @@ import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * F–measure loss function is a loss function design for training on imbalanced datasets.
- * Essentially, this loss function is a continuous approximation of the F_Beta evaluation measure, of which F_1 is
- * a special case.
        
- * 
        
- * Note: this implementation differs from that described in the original paper by Pastor-Pellicer et al. in
- * one important way: instead of maximizing the F-measure loss function as presented there (equations 2/3), we minimize
- * 1.0 - FMeasure. Consequently, a score of 0 is the minimum possible value (optimal predictions) and a score of 1.0 is
- * the maximum possible value.
        
- * 
        
- * This implementation supports 2 types of operation:
        
- * - Binary: single output/label (Typically sigmoid activation function)
        
- * - Binary: 2-output/label (softmax activation function + 1-hot labels)
        
- * Note that the beta value can be configured via the constructor.
        
- * 
        
- * The following situations are NOT currently supported, may be added in the future:
        
- * - Multi-label (multiple independent binary outputs)
        
- * - Multiclass (via micro or macro averaging)
        
- *
- * 
        
- * Reference: Pastor-Pellicer et al. (2013), F-Measure as the Error Function to Train Neural Networks,
- * 
- *     https://link.springer.com/chapter/10.1007/978-3-642-38679-4_37
- *
- * @author Alex Black
- */
 @Getter
 @EqualsAndHashCode
 public class LossFMeasure implements ILossFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossHinge.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossHinge.java
index 499a42133..2ae4f61dd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossHinge.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossHinge.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.linalg.lossfunctions.LossUtil;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Created by susaneraly on 8/15/16.
- */
 @EqualsAndHashCode
 public class LossHinge implements ILossFunction {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossKLD.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossKLD.java
index ffcde7302..c4e996609 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossKLD.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossKLD.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -27,11 +31,6 @@ import org.nd4j.linalg.lossfunctions.LossUtil;
 import org.nd4j.linalg.ops.transforms.Transforms;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Kullback Leibler Divergence loss function
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode
 public class LossKLD implements ILossFunction {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL1.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL1.java
index 56ffaee08..8c868faa3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL1.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -33,12 +37,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- * L1 loss function: i.e., sum of absolute errors, L = sum_i abs(predicted_i - actual_i)
- * See also {@link LossMAE} for a mathematically similar loss function (MAE has division by N, where N is output size)
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL2.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL2.java
index b6d6bb761..86c97dfec 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL2.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossL2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -31,13 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- * L2 loss function: i.e., sum of squared errors, L = sum_i (actual_i - predicted)^2
- * The L2 loss function is the square of the L2 norm of the difference between actual and predicted.
- * See also {@link LossMSE} for a mathematically similar loss function (MSE has division by N, where N is output size)
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAE.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAE.java
index a232e0311..d8de86bd9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAE.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -20,12 +24,6 @@ import lombok.EqualsAndHashCode;
 import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Mean absolute error loss function: L = 1/N sum_i abs(predicted_i - actual_i)
- * See also {@link LossL1} for a mathematically similar loss function (LossL1 does not have division by N, where N is output size)
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode(callSuper = true)
 public class LossMAE extends LossL1 {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAPE.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAPE.java
index 03c9a461f..0debfa933 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAPE.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMAPE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -34,9 +38,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- * Created by susaneraly on 8/15/16.
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMCXENT.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMCXENT.java
index 2863f282e..003702ec8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMCXENT.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMCXENT.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -38,17 +41,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- *
- * Multi-Class Cross Entropy loss function:
        
- * L = sum_i actual_i * log( predicted_i )
        
- * Note that labels are represented by a one-hot distribution
        
- * See {@link LossSparseMCXENT} for the equivalent but with labels as integers instead
- *
- * @author Alex Black, Susan Eraly
- * @see LossNegativeLogLikelihood
- * @see LossSparseMCXENT
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter @Setter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSE.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSE.java
index bb64bb777..960830ae6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSE.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -21,12 +25,6 @@ import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Mean Squared Error loss function: L = 1/N sum_i (actual_i - predicted)^2
- * See also {@link LossL2} for a mathematically similar loss function (LossL2 does not have division by N, where N is output size)
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode(callSuper = true)
 public class LossMSE extends LossL2 {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSLE.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSLE.java
index cf459e2aa..e7e4f83c8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSLE.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMSLE.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -31,11 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonInclude;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- * Mean Squared Logarithmic Error loss function: L = 1/N sum_i (log(1+predicted_i) - log(1+actual_i))^2
- *
- * @author Susan Eraly
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMixtureDensity.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMixtureDensity.java
index b58be0e8b..734112248 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMixtureDensity.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMixtureDensity.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -32,36 +36,6 @@ import org.nd4j.common.primitives.Pair;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * This is a cost function associated with a mixture-density network.
- * For background, this is inspired by Bishop's work pioneering the mixture
- * density network.  The essence of the idea is that the cost function attempts
- * to model the output as if it were a mixture of gaussian probability
- * densities.  The network attempts to converge on a cost function which
- * involves the negative log likelihood of the output fitting a set of data
- * and estimates the "alpha" contribution to of each of the distributions
- * the 'mu' (mean) and 'sigma' (standard deviation) of each of the
- * distributions.
- * 
- * For a full description of the technique, refer to Bishop's work.
- * 
- * Bishop CM. Mixture density networks,
- * Neural Computing Research Group Report:
- * NCRG/94/004, Aston University, Birmingham, 1994
- * https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/bishop-ncrg-94-004.pdf
- * 
- * There is no public constructor, please use the builder to create an
- * approriate mixture loss function for the number of outputs and number
- * of mixtures you would like to fit.
- * 
- * Note that this means that the output
- * layer must provide (labelWidth+2)*mixtures output values in order to describe
- * the distributions of vectors of width labelWidth.
- * Please ensure that the size of the output layer matches the number of
- * mixtures provided.
- * 
- * @author Jonathan Arney
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 public class LossMixtureDensity implements ILossFunction {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMultiLabel.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMultiLabel.java
index 199ff4b4b..27683254f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMultiLabel.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossMultiLabel.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -27,32 +31,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 
-/**
- * Multi-Label-Loss Function, maybe more commonly known as BPMLL
- * 
        
- * This Loss function requires that the Labels are given as a multi-hot encoded vector. It doesn't require any special
- * Activation method, i.e. the network output doesn't have to be in any specific range.
- * 
        
- * The loss is calculated based on the classification difference on labels that the examples has, and those that it
- * doesn't have. Assume that each example has a set of labels, these labels are the positive set, the labels that do not
- * belong to the example are in the negative set. This loss function trains the network to produce a higher value for
- * labels that are in the positive set than those that are in the negative set.
- * 
        
- * Notice that in order to learn anything at all, this loss function requires that your example labels are not
- * all 0 or all 1. In these cases the loss gradient will be 0. If you have to work with examples like that, you should
- * try using a ComputationGraph with two LossLayers, one using LossMultiLabel and the other one using LossBinaryXENT.
- * 
        
- * For a more detailed explanation and the actual formulas, read the original paper by Zhang and Zhou. The
- * implementation on scoreArray is based on equation 3, while computeGradient is based on equation 11. The main
- * difference being that -(c_k - c_l) = (c_l - c_k) was used to simplify the calculations.
- * 
        
- * Min-Ling Zhang and Zhi-Hua Zhou, "Multilabel Neural Networks with Applications to Functional Genomics and Text
- * Categorization," in IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 10, pp. 1338-1351, Oct. 2006.
- * doi: 10.1109/TKDE.2006.162
- * *
- *
- * @author Paul Dubs
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossNegativeLogLikelihood.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossNegativeLogLikelihood.java
index a8453cf9c..13cc4432f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossNegativeLogLikelihood.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossNegativeLogLikelihood.java
@@ -1,29 +1,27 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Negative log likelihood loss function
- * 
        
- * In practice, this is implemented as an alias for {@link LossMCXENT} due to the mathematical equivalence
- */
 public class LossNegativeLogLikelihood extends LossMCXENT {
 
     public LossNegativeLogLikelihood() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossPoisson.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossPoisson.java
index 54ec246af..7f23715db 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossPoisson.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossPoisson.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -25,9 +29,6 @@ import org.nd4j.linalg.lossfunctions.LossUtil;
 import org.nd4j.linalg.ops.transforms.Transforms;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Created by susaneraly on 9/9/16.
- */
 @EqualsAndHashCode
 public class LossPoisson implements ILossFunction {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSparseMCXENT.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSparseMCXENT.java
index 43e76e511..c2803c7c4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSparseMCXENT.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSparseMCXENT.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -31,18 +35,6 @@ import org.nd4j.shade.jackson.annotation.JsonProperty;
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 import org.nd4j.shade.jackson.databind.annotation.JsonSerialize;
 
-/**
- *
- * Sparse Multi-Class Cross Entropy loss function:
        
- * L = sum_i actual_i * log( predicted_i )
        
- * Note: this is the same loss function as {@link LossMCXENT}, the only difference being the format for the labels -
- * this loss function uses integer indices (zero indexed) for the loss array, whereas LossMCXENT uses the equivalent
- * one-hot representation
- *
- * @author Alex Black
- * @see LossNegativeLogLikelihood
- * @see LossMCXENT
- */
 @EqualsAndHashCode(callSuper = true)
 @JsonInclude(JsonInclude.Include.NON_NULL)
 @Getter @Setter
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSquaredHinge.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSquaredHinge.java
index 8f4874d9a..a37a8bd56 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSquaredHinge.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossSquaredHinge.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -26,9 +30,6 @@ import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.linalg.lossfunctions.LossUtil;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Created by susaneraly on 9/9/16.
- */
 @EqualsAndHashCode
 public class LossSquaredHinge implements ILossFunction {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossWasserstein.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossWasserstein.java
index 5a837590e..9b97eb848 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossWasserstein.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/impl/LossWasserstein.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.impl;
 
@@ -25,18 +29,6 @@ import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.linalg.lossfunctions.LossUtil;
 import org.nd4j.common.primitives.Pair;
 
-/**
- * Wasserstein loss function, which calculates the Wasserstein distance, also known as earthmover's distance.
- *
- * This is not necessarily a general purpose loss function, and is intended for use as a discriminator loss.
- *
- * When using in a discriminator, use a label of 1 for real and -1 for generated
- * instead of the 1 and 0 used in normal GANs.
- *
- * As described in Learning with a Wasserstein Loss
- *
- * @author Ryan Nett
- */
 @EqualsAndHashCode(callSuper = false)
 public class LossWasserstein implements ILossFunction {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorDeserializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorDeserializer.java
index e389dba65..0acb4dca5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorDeserializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.serde;
 
@@ -25,13 +29,6 @@ import org.nd4j.shade.jackson.databind.JsonNode;
 
 import java.io.IOException;
 
-/**
- * Simple JSON deserializer for use in {@link org.nd4j.linalg.lossfunctions.ILossFunction} loss function weight serialization.
- * Used in conjunction with {@link RowVectorSerializer}
- *
- * @author Alex Black
- * @deprecated Use {@link org.nd4j.serde.jackson.shaded.NDArrayTextDeSerializer}
- */
 @Deprecated
 public class RowVectorDeserializer extends JsonDeserializer {
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorSerializer.java
index d310a0ea5..92404bc5d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/lossfunctions/serde/RowVectorSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.lossfunctions.serde;
 
@@ -23,13 +27,6 @@ import org.nd4j.shade.jackson.databind.SerializerProvider;
 
 import java.io.IOException;
 
-/**
- * Simple JSON serializer for use in {@link org.nd4j.linalg.lossfunctions.ILossFunction} weight serialization.
- * Serializes an INDArray as a double[]
- *
- * @author Alex Black
- * @deprecated Use {@link org.nd4j.serde.jackson.shaded.NDArrayTextSerializer}
- */
 @Deprecated
 public class RowVectorSerializer extends JsonSerializer {
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/ops/transforms/Transforms.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/ops/transforms/Transforms.java
index 1017ea186..bffdffdf5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/ops/transforms/Transforms.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/ops/transforms/Transforms.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.ops.transforms;
 
@@ -55,11 +59,6 @@ import org.nd4j.linalg.inverse.InvertMatrix;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Functional interface for the different op classes
- *
- * @author Adam Gibson
- */
 public class Transforms {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/OpProfiler.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/OpProfiler.java
index 02d71b54d..a62ccd21c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/OpProfiler.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/OpProfiler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler;
 
@@ -32,15 +36,6 @@ import java.util.concurrent.atomic.AtomicLong;
 
 import static org.nd4j.linalg.profiler.OpProfiler.PenaltyCause.NONE;
 
-/**
- * This class is suited for execution statistics
- * gathering on Op/Array level: number of
- * sequential ops executed on the same data
- *
- * PLEASE NOTE: This isn't thread-safe implementation.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Data
 public class OpProfiler {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/ProfilerConfig.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/ProfilerConfig.java
index 83bce6752..82656397c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/ProfilerConfig.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/ProfilerConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StackAggregator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StackAggregator.java
index c204ec0c3..5383dead5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StackAggregator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StackAggregator.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data;
 
 import org.nd4j.linalg.profiler.data.primitives.StackDescriptor;
 import org.nd4j.linalg.profiler.data.primitives.StackTree;
 
-/**
- * This is utility class, provides stack traces collection, used in OpProfiler, to count events occurrences based on their position in code
- *
- *
- * @author raver119@gmail.com
- */
 public class StackAggregator {
     private StackTree tree = new StackTree();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringAggregator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringAggregator.java
index cdb99e302..465bdfa4e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringAggregator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringAggregator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data;
 
@@ -26,9 +30,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class StringAggregator {
 
     private Map times = new ConcurrentHashMap<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringCounter.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringCounter.java
index 6a340447c..5054b680a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringCounter.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/StringCounter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data;
 
@@ -23,11 +27,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Simple key-value counter
- *
- * @author raver119@gmail.com
- */
 public class StringCounter {
     private Map counter = new ConcurrentHashMap<>();
     private AtomicLong totals = new AtomicLong(0);
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/ComparableAtomicLong.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/ComparableAtomicLong.java
index 5630fba8a..507b41220 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/ComparableAtomicLong.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/ComparableAtomicLong.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data.primitives;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class ComparableAtomicLong extends AtomicLong implements Comparable {
 
     public ComparableAtomicLong() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackComparator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackComparator.java
index e7df3ba8d..5dcda780b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackComparator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackComparator.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data.primitives;
 
 import java.util.Comparator;
 
-/**
- * @author raver119@gmail.com
- */
 public class StackComparator implements Comparator {
 
     @Override
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackDescriptor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackDescriptor.java
index 2fe4fb41a..60656802c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data.primitives;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackNode.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackNode.java
index 3f9602f5e..316170700 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackNode.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackNode.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data.primitives;
 
@@ -24,9 +28,6 @@ import java.util.HashMap;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class StackNode implements Comparable {
     private final String nodeURI;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackTree.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackTree.java
index 4819ee1f8..1785737f3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackTree.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/StackTree.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data.primitives;
 
@@ -24,9 +28,6 @@ import java.util.HashMap;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class StackTree {
     protected Map basement = new HashMap<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/TimeSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/TimeSet.java
index 6f151493f..97f36f73a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/TimeSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/profiler/data/primitives/TimeSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.profiler.data.primitives;
 
@@ -20,11 +24,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * Utility holder class, used to store timing sets retrieved with profiler.
- *
- * @author raver119@gmail.com
- */
 public class TimeSet implements Comparable {
     private List times = new ArrayList<>();
     private long sum = 0;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/CycleSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/CycleSchedule.java
index ffe24d58a..f2a348ed8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/CycleSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/CycleSchedule.java
@@ -1,59 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Cycle schedule
- *
- *  Based on 1cycle schedule as proposed in https://arxiv.org/abs/1803.09820
- *
- *  Starts at initial learning rate, then linearly increases learning rate until max learning rate is reached,
- *  at that point the learning rate is decreased back to initial learning rate.
- *
- *  When cycleLength - annealingLength is reached, the annealing period starts, and the learning rate starts decaying
- *  below the initial learning rate.
- *
- *  The Learning rate curve Looks something like this:
- *
- * +-----------------------------------------+
- * |               XX                        |
- * |              XX XX                      |
- * |             XX   XX                     |
- * |            XX     XX                    |
- * |           XX       XX                   |
- * |          XX         XX                  |
- * |         XX           XX                 |
- * |        XX             XX                |
- * |       XX               XX               |
- * |      XX                 XX              |
- * |     XX                   XX             |
- * |    XX                     XX            |
- * |   XX                       XX           |
- * |  XX                          XXX        |
- * |                                XXX      |
- * |                                   XXX   |
- * |                                         |
- * +-----------------------------------------+
- *
- * @author Paul Dubs
- */
 @Data
 public class CycleSchedule implements ISchedule {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ExponentialSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ExponentialSchedule.java
index 5f71696e1..52661e167 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ExponentialSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ExponentialSchedule.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * An exponential schedule, with 2 parameters: initial value, and gamma.
        
- * value(i) = initialValue * gamma^i
- * where i is the iteration or epoch (depending on the setting)
- *
- * @author Alex Black
- */
 @Data
 public class ExponentialSchedule implements ISchedule {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/FixedSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/FixedSchedule.java
index f0e64d4d6..8744257ef 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/FixedSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/FixedSchedule.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ISchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ISchedule.java
index b2c9fa408..74a64d6a0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ISchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ISchedule.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
@@ -20,16 +24,6 @@ import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
 
 import java.io.Serializable;
 
-/**
- * ISchedule: a general purpose interface for getting values according to some schedule.
- * Used for implementing learning rate, dropout and momentum schedules - and in principle, any univariate (double)
- * value that deponds on the current iteration and epochs numbers.
        
- * 
        
- * Note: ISchedule objects should not have mutable state - i.e., they should be safe to share between multiple
- * locations/layers.
- *
- * @author Alex Black
- */
 @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
 public interface ISchedule extends Serializable, Cloneable {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/InverseSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/InverseSchedule.java
index f78cb929a..4e04284ca 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/InverseSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/InverseSchedule.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
@@ -20,13 +24,6 @@ import lombok.Data;
 import lombok.EqualsAndHashCode;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Inverse schedule, with 3 parameters: initial value, gamma and power.
        
- * value(i) = initialValue * (1 + gamma * iter)^(-power)
- * where i is the iteration or epoch (depending on the setting)
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode
 public class InverseSchedule implements ISchedule {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/MapSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/MapSchedule.java
index 4dad4f95c..8fa76928e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/MapSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/MapSchedule.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
@@ -26,14 +30,6 @@ import java.util.Arrays;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * MapSchedule is a schedule based on specific values in a {@code Map}.
        
- * For example, if the map contains the following: (0,1.0), (10,0.5), (20, 0.2) then iteration/epoch 0 to 9 inclusive
- * will have value 1.0, 10 to 19 will have 0.5, and 20+ will have value 0.2.
        
- * Note that the map MUST have a key for position 0 - this is the initial value.
- *
- * @author Alex Black
- */
 @Data
 @EqualsAndHashCode
 @JsonIgnoreProperties({"allKeysSorted"})
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/PolySchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/PolySchedule.java
index 3f31efb80..8341ea586 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/PolySchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/PolySchedule.java
@@ -1,33 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- *
- * Polynomial decay schedule, with 3 parameters: initial value, maxIter, power.
        
- * Note that the value will be 0 after maxIter, otherwise is given by:
- * value(i) = initialValue * (1 + i/maxIter)^(-power)
- * where i is the iteration or epoch (depending on the setting)
- *
- * @author Alex Black
- */
 @Data
 public class PolySchedule implements ISchedule {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/RampSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/RampSchedule.java
index 1a8c084e6..1d2287f35 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/RampSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/RampSchedule.java
@@ -1,12 +1,25 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.schedule;
 
-/**
- * A "Wrapper" schedule that ramps up from {@code 1/numIter * baseLR} to {@code baseLR} over numIter iterations.
- * The base learning rate is determined by the underlying ISchedule, as a function of time.
- * This can be used to provide a slow start, for use cases such as transfer learning.
- *
- * @author Alex Black
- */
 public class RampSchedule implements ISchedule {
 
     protected final ISchedule baseSchedule;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ScheduleType.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ScheduleType.java
index bf16dd69d..85a349824 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ScheduleType.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/ScheduleType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/SigmoidSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/SigmoidSchedule.java
index 3cd020f01..ff7cdb5ff 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/SigmoidSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/SigmoidSchedule.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Sigmoid decay schedule, with 3 parameters: initial value, gamma and stepSize.
        
- * value(i) = initialValue * 1.0 / (1 + exp(-gamma * (iter - stepSize)))
- * where i is the iteration or epoch (depending on the setting)
- *
- * @author Alex Black
- */
 @Data
 public class SigmoidSchedule implements ISchedule {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/StepSchedule.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/StepSchedule.java
index 11a859b7e..ab59d6957 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/StepSchedule.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/schedule/StepSchedule.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.schedule;
 
 import lombok.Data;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 
-/**
- * Step decay schedule, with 3 parameters: initial value, gamma and step.
        
- * value(i) = initialValue * gamma^( floor(iter/step) )
- * where i is the iteration or epoch (depending on the setting)
- *
- * @author Alex Black
- */
 @Data
 public class StepSchedule implements ISchedule {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/string/NDArrayStrings.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/string/NDArrayStrings.java
index 8ae9a0064..efcd327df 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/string/NDArrayStrings.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/string/NDArrayStrings.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.string;
 
@@ -27,18 +31,6 @@ import java.text.DecimalFormat;
 import java.text.DecimalFormatSymbols;
 import java.util.Locale;
 
-/**
- *  String representation of an ndarray.
- *
- * Printing will default to scientific notation on a per element basis
- *      - when absolute value is greater than or equal to 10000
- *      - when absolute value is less than or equal to 0.0001
- *
- *  If the number of elements in the array is greater than 1000 only the first and last three elements in a dimension are included
- *
- * @author Adam Gibson
- * @author Susan Eraly
- */
 @Getter
 @Setter
 public class NDArrayStrings {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/AtomicThrowable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/AtomicThrowable.java
index e01d0f23b..29b997975 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/AtomicThrowable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/AtomicThrowable.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This class provides thread-safe holder for Throwable
- *
- * @author raver119@gmail.com
- */
 public class AtomicThrowable {
     protected volatile Throwable t = null;
     protected ReentrantReadWriteLock lock;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ConvConfigUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ConvConfigUtil.java
index 0f7bc1196..fdd27b1ea 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ConvConfigUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ConvConfigUtil.java
@@ -1,17 +1,21 @@
 /*
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
 package org.nd4j.linalg.util;
@@ -20,9 +24,6 @@ import lombok.AccessLevel;
 import lombok.NoArgsConstructor;
 import org.nd4j.common.base.Preconditions;
 
-/**
- * Class with utility methods for validating convolution op configurations like {@link org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig}
- */
 @NoArgsConstructor(access = AccessLevel.PRIVATE)
 public class ConvConfigUtil {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DataSetUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DataSetUtils.java
index f45f4fa4d..5ec3fc2de 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DataSetUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DataSetUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -26,14 +30,6 @@ import org.nd4j.common.tools.InfoValues;
 import org.nd4j.common.tools.SIS;
 
 
-/**
- * shows content of some classes
- *
- * 
- *
- * @author clavvis 
- */
-
 public class DataSetUtils {
 	//
 	private SIS sis;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocal.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocal.java
index ceaa41e19..35a32691a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocal.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocal.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -28,11 +32,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * Class similar to Java ThreadLocal class, but locality is preserved with respect to device used
- *
- * @author raver119@gmail.com
- */
 public abstract class DeviceLocal {
     protected Map backingMap = new ConcurrentHashMap<>();
     protected List locksMap = new ArrayList<>();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocalNDArray.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocalNDArray.java
index d4705b6d8..f51bf1cf9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocalNDArray.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/DeviceLocalNDArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -27,10 +31,6 @@ import org.nd4j.linalg.profiler.OpProfiler;
 
 import java.util.Arrays;
 
-/**
- * DeviceLocal implementation for INDArray, with special broadcast method
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DeviceLocalNDArray extends DeviceLocal {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/FeatureUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/FeatureUtil.java
index 579deb729..481ddea6e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/FeatureUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/FeatureUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -20,9 +24,6 @@ import lombok.val;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Feature matrix related jcuda.utils
- */
 public class FeatureUtil {
     /**
      * Creates an out come vector from the specified inputs
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/HashUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/HashUtil.java
index aa29c70e2..0ad28defd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/HashUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/HashUtil.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
 
 import lombok.NonNull;
 
-/**
- * Stronger 64-bit hash function helper, as described here: http://www.javamex.com/tutorials/collections/strong_hash_code_implementation.shtml
- *
- * @author raver119@gmail.com
- */
 public class HashUtil {
     private static final long[] byteTable = createLookupTable();
     private static final long HSTART = 0xBB40E64DA205B064L;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LinAlgExceptions.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LinAlgExceptions.java
index 46d926da7..bf84fbb75 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LinAlgExceptions.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LinAlgExceptions.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
 import java.util.Arrays;
 
-/**
- * Linear algebra exceptions
- *
- * @author Adam Gibson
- */
 public class LinAlgExceptions {
     /**
      * Asserts both arrays be the same length
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LongUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LongUtils.java
index 702965665..5a7fcc65e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LongUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/LongUtils.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
-/**
- * @author raver119@gmail.com
- */
 public class LongUtils {
 
     public static int[] toInts(long[] array) {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ND4JTestUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ND4JTestUtils.java
index 3c8889a72..41018c288 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ND4JTestUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/ND4JTestUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -29,11 +33,6 @@ import java.io.File;
 import java.net.URI;
 import java.util.*;
 
-/**
- * Test utilitiez for ND4J
- *
- * @author Alex Black
- */
 public class ND4JTestUtils {
 
     private ND4JTestUtils(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayMath.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayMath.java
index 87c55d255..e20b79f30 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayMath.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayMath.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayPreconditionsFormat.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayPreconditionsFormat.java
index f8ab1654d..74d99013f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayPreconditionsFormat.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayPreconditionsFormat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -24,17 +28,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Preconditions format: Defines a set of tags for use with {@link Preconditions} class.
        
- * %ndRank: rank of INDArray
        
- * %ndShape: shape of INDArray
        
- * %ndStride: stride of INDArray
        
- * %ndLength: length of INDArray
        
- * %ndSInfo: shape info of INDArray
        
- * %nd10: First 10 values of INDArray (or all values if length <= 10
        
- *
- * @author Alex Black
- */
 public class NDArrayPreconditionsFormat implements PreconditionsFormat {
 
     private static final List TAGS = Arrays.asList(
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayUtil.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayUtil.java
index 545c85806..562d2f374 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayUtil.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/NDArrayUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.util;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * Created by agibsonccc on 2/26/16.
- *
- * This class is deprecated. Please use Nd4j.createFromArray(...) methods instead
- */
 @Deprecated
 public class NDArrayUtil {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/Nd4jValidator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/Nd4jValidator.java
index 08b8cbb6d..21ef4d8f4 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/Nd4jValidator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/util/Nd4jValidator.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.util;
 
 import lombok.NonNull;
@@ -18,11 +38,6 @@ import java.nio.charset.Charset;
 import java.util.Collections;
 import java.util.Map;
 
-/**
- * A utility for validating multiple file formats that ND4J and SameDiff can read
- *
- * @author Alex Black
- */
 public class Nd4jValidator {
 
     private Nd4jValidator() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/BaseWorkspaceMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/BaseWorkspaceMgr.java
index b639258c1..3ed50f4ad 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/BaseWorkspaceMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/BaseWorkspaceMgr.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.workspace;
 
@@ -29,12 +33,6 @@ import java.util.HashSet;
 import java.util.Map;
 import java.util.Set;
 
-/**
- * A standard/baseline {@link WorkspaceMgr} implementation
- *
- * @param  Array type
- * @author Alex Black
- */
 @Slf4j
 public abstract class BaseWorkspaceMgr> implements WorkspaceMgr {
     private static final boolean DISABLE_LEVERAGE = false;  //Mainly for debugging/optimization purposes
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/ND4JWorkspaceException.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/ND4JWorkspaceException.java
index 88e2e43b4..17a21ab4e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/ND4JWorkspaceException.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/ND4JWorkspaceException.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.workspace;
 
-/**
- * An exception to specify than a workspace-related error has occurred
- *
- * @author Alex Black
- */
 public class ND4JWorkspaceException extends RuntimeException {
 
     public ND4JWorkspaceException(){
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceMgr.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceMgr.java
index af7359edf..90b77f449 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceMgr.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceMgr.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.workspace;
 
@@ -22,15 +26,6 @@ import org.nd4j.linalg.api.memory.MemoryWorkspace;
 import org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * WorkspaceMgr is an interface for managing a set of workspaces, for a set of array types (where the array types
- * are specified by an enumeration).
- * Note that multiple array types may be stored in the one underlying workspace
- *
- * @param  Enumeration type to specify the type of array. For example, in DL4J the type values include things
- *            like inputs, activations, working memory etc.
- * @author Alex Black
- */
 public interface WorkspaceMgr> {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceUtils.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceUtils.java
index c13fbfdcd..2be87d6a0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceUtils.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspaceUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.workspace;
 
@@ -26,11 +30,6 @@ import org.nd4j.linalg.api.memory.abstracts.DummyWorkspace;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Workspace utility methods
- *
- * @author Alex Black
- */
 public class WorkspaceUtils {
 
     private WorkspaceUtils() {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspacesCloseable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspacesCloseable.java
index d13fd0c1e..9ae0b06a9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspacesCloseable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/workspace/WorkspacesCloseable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.workspace;
 
@@ -20,13 +24,6 @@ import lombok.Data;
 import lombok.NonNull;
 import org.nd4j.linalg.api.memory.MemoryWorkspace;
 
-/**
- * An {@link AutoCloseable} for multiple workspaces
- * NOTE: Workspaces are closed in REVERSED order to how they are provided to the costructor;
- * this is to mirror nested workspace use
- *
- * @author Alex Black
- */
 @Data
 public class WorkspacesCloseable implements AutoCloseable {
     private MemoryWorkspace[] workspaces;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/BaseNDArrayList.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/BaseNDArrayList.java
index 0c55c7d17..0a5b12699 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/BaseNDArrayList.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/BaseNDArrayList.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.list;
 
@@ -28,12 +32,6 @@ import org.nd4j.linalg.indexing.conditions.EqualsCondition;
 
 import java.util.*;
 
-/**
- * An {@link ArrayList} like implementation of {@link List}
- * using {@link INDArray} as the backing data structure
- *
- * @author Adam Gibson
- */
 @SuppressWarnings("unchecked") //too many of them.
 public abstract  class BaseNDArrayList extends  AbstractList  {
     protected INDArray container;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/NDArrayList.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/NDArrayList.java
index 81e4bdc4a..6d6a1a4de 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/NDArrayList.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/list/NDArrayList.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.list;
 
@@ -29,12 +33,6 @@ import org.nd4j.linalg.indexing.conditions.EqualsCondition;
 
 import java.util.*;
 
-/**
- * An {@link ArrayList} like implementation of {@link List}
- * using {@link INDArray} as the backing data structure
- *
- * @author Adam Gibson
- */
 public class NDArrayList extends  BaseNDArrayList  {
     private INDArray container;
     private int size;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/base64/Nd4jBase64.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/base64/Nd4jBase64.java
index 3fc994289..d43139110 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/base64/Nd4jBase64.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/base64/Nd4jBase64.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.base64;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/binary/BinarySerde.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/binary/BinarySerde.java
index 557b1a227..ddb6278fb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/binary/BinarySerde.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/binary/BinarySerde.java
@@ -1,18 +1,22 @@
-/* *****************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.binary;
 
@@ -38,9 +42,6 @@ import java.nio.channels.Channels;
 import java.nio.channels.FileChannel;
 import java.nio.channels.WritableByteChannel;
 
-/**
- * Created by agibsonccc on 7/1/17.
- */
 @Slf4j
 public class BinarySerde {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayDeSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayDeSerializer.java
index 1d6c9f232..8dfd3092d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayDeSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayDeSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.jackson.shaded;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArraySerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArraySerializer.java
index 1ec9a3ba9..b86f27319 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArraySerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArraySerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.jackson.shaded;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextDeSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextDeSerializer.java
index 11761a00d..019ea0e35 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextDeSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextDeSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.jackson.shaded;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextSerializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextSerializer.java
index c395959d3..8f56783cb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextSerializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/jackson/shaded/NDArrayTextSerializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.jackson.shaded;
 
@@ -27,9 +31,6 @@ import org.nd4j.shade.jackson.databind.SerializerProvider;
 
 import java.io.IOException;
 
-/**
- * @author Alex Black
- */
 public class NDArrayTextSerializer extends JsonSerializer {
     @Override
     public void serialize(INDArray arr, JsonGenerator jg, SerializerProvider serializerProvider)
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/BaseLegacyDeserializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/BaseLegacyDeserializer.java
index b7a358917..1d82cddfc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/BaseLegacyDeserializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/BaseLegacyDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.json;
 
@@ -31,20 +35,6 @@ import java.util.List;
 import java.util.Map;
 import java.util.Objects;
 
-/**
- * A base deserialization class used to handle deserializing of a specific class given changes from subtype wrapper
- * format to class field format.
        
- * That is: from...
        
- * {@literal {@code @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.WRAPPER_OBJECT)}}
        
- * {@literal {@code @JsonSubTypes(value = {@JsonSubTypes.Type(value = LossBinaryXENT.class, name = "BinaryXENT"),}...}}
        
- * 
        
- * to
        
- * 
        
- * {@literal {@code @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")}}
- *
- * @param   Type to deserialize
- * @author Alex Black
- */
 @Slf4j
 public abstract class BaseLegacyDeserializer extends JsonDeserializer {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/JsonMappers.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/JsonMappers.java
index 16148fff4..d817f9937 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/JsonMappers.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/JsonMappers.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.json;
 
@@ -31,11 +35,6 @@ import org.nd4j.shade.jackson.databind.SerializationFeature;
 import org.nd4j.shade.jackson.databind.module.SimpleModule;
 import org.nd4j.shade.jackson.dataformat.yaml.YAMLFactory;
 
-/**
- * JSON mappers for serializing/deserializing objects
- *
- * @author Alex Black
- */
 @Slf4j
 public class JsonMappers {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializer.java
index c604e4e97..d906f112c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.json;
 
@@ -24,11 +28,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Deserializer for IActivation JSON in legacy format - see {@link BaseLegacyDeserializer}
- *
- * @author Alex Black
- */
 public class LegacyIActivationDeserializer extends BaseLegacyDeserializer {
     private static final Map LEGACY_NAMES = new HashMap<>();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializerHelper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializerHelper.java
index 0e7fa032f..6edeb59d0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializerHelper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyIActivationDeserializerHelper.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.json;
 
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 
-/**
- * Simple helper class to redirect legacy JSON format to {@link LegacyIActivationDeserializer} via annotation
- * on {@link org.nd4j.linalg.activations.IActivation}
- */
 @JsonDeserialize(using = LegacyIActivationDeserializer.class)
 public class LegacyIActivationDeserializerHelper {
     private LegacyIActivationDeserializerHelper(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializer.java
index 5825c41f3..3bc3387a1 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.json;
 
@@ -25,11 +29,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Deserializer for ILossFunction JSON in legacy format - see {@link BaseLegacyDeserializer}
- *
- * @author Alex Black
- */
 public class LegacyILossFunctionDeserializer extends BaseLegacyDeserializer {
     private static final Map LEGACY_NAMES = new HashMap<>();
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializerHelper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializerHelper.java
index cbd134853..ef1954766 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializerHelper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/serde/json/LegacyILossFunctionDeserializerHelper.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.serde.json;
 
 import org.nd4j.shade.jackson.databind.annotation.JsonDeserialize;
 
-/**
- * Simple helper class to redirect legacy JSON format to {@link LegacyILossFunctionDeserializer} via annotation
- * on {@link org.nd4j.linalg.lossfunctions.ILossFunction}
- */
 @JsonDeserialize(using = LegacyILossFunctionDeserializer.class)
 public class LegacyILossFunctionDeserializerHelper {
     private LegacyILossFunctionDeserializerHelper(){ }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfo.java
index a77414c25..6bd14bf4c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.systeminfo;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfoProvider.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfoProvider.java
index 78ee866a5..9e543e8cd 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/GPUInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.systeminfo;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/SystemInfo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/SystemInfo.java
index e2948ea96..f292cf8eb 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/SystemInfo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/systeminfo/SystemInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.systeminfo;
 
@@ -44,9 +48,6 @@ import org.nd4j.versioncheck.VersionCheck;
 import org.nd4j.versioncheck.VersionInfo;
 import oshi.software.os.OperatingSystem;
 
-/**
- * Utility class to get system info for debugging and error reporting
- */
 public class SystemInfo {
 
     private static void appendField(StringBuilder sb, String name, Object value){
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionCheck.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionCheck.java
index 93d6ce561..5ca7116f0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionCheck.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionCheck.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.versioncheck;
 
@@ -39,14 +43,6 @@ import java.util.HashSet;
 import java.util.List;
 import java.util.Set;
 
-/**
- * A runtime version check utility that does 2 things:
        
- * (a) validates the versions of ND4J, DL4J, DataVec, RL4J, Arbiter on the class path, logging a warning if
- * incompatible versions are found
        
- * (b) allows users to get version information for the above projects at runtime.
- *
- * @author Alex Black
- */
 @Slf4j
 public class VersionCheck {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionInfo.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionInfo.java
index fa07693cc..fe906cad2 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionInfo.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/versioncheck/VersionInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.versioncheck;
 
@@ -29,9 +33,6 @@ import java.net.URI;
 import java.net.URL;
 import java.util.Properties;
 
-/**
- * Created by Alex on 04/08/2017.
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Data
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/BaseWeightInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/BaseWeightInitScheme.java
index 1766e667a..be0abbcf5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/BaseWeightInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/BaseWeightInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit;
 
@@ -23,14 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.Arrays;
 
-/**
- * Abstract class for {@link WeightInitScheme}
- * This handles boilerplate like delegating to the parameters view.
- *
- *
- *
- * @author Adam Gibson
- */
 @EqualsAndHashCode
 public abstract class BaseWeightInitScheme implements WeightInitScheme {
     private char order;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInit.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInit.java
index 8251e1e3c..2a8403dca 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInit.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInit.java
@@ -1,68 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit;
 
-/**
- * Weight initialization scheme
- * 
        
- * DISTRIBUTION: Sample weights from a provided distribution
        
- * 
        
- * ZERO: Generate weights as zeros
        
- * 
        
- * ONES: All weights are set to 1
- * 
        
- * SIGMOID_UNIFORM: A version of XAVIER_UNIFORM for sigmoid activation functions. U(-r,r) with r=4*sqrt(6/(fanIn + fanOut))
- * 
        
- * NORMAL: Normal/Gaussian distribution, with mean 0 and standard deviation 1/sqrt(fanIn).
- * This is the initialization recommented in Klambauer et al. 2017, "Self-Normalizing Neural Network". Equivalent to
- * DL4J's XAVIER_FAN_IN and LECUN_NORMAL (i.e. Keras' "lecun_normal")
- * 
        
- * LECUN_UNIFORM Uniform U[-a,a] with a=3/sqrt(fanIn).
- * 
        
- * UNIFORM: Uniform U[-a,a] with a=1/sqrt(fanIn). "Commonly used heuristic" as per Glorot and Bengio 2010
- * 
        
- * XAVIER: As per Glorot and Bengio 2010: Gaussian distribution with mean 0, variance 2.0/(fanIn + fanOut)
- * 
        
- * XAVIER_UNIFORM: As per Glorot and Bengio 2010: Uniform distribution U(-s,s) with s = sqrt(6/(fanIn + fanOut))
- * 
        
- * XAVIER_FAN_IN: Similar to Xavier, but 1/fanIn -> Caffe originally used this.
- * 
        
- * XAVIER_LEGACY: Xavier weight init in DL4J up to 0.6.0. XAVIER should be preferred.
- * 
        
- * RELU: He et al. (2015), "Delving Deep into Rectifiers". Normal distribution with variance 2.0/nIn
- * 
        
- * RELU_UNIFORM: He et al. (2015), "Delving Deep into Rectifiers". Uniform distribution U(-s,s) with s = sqrt(6/fanIn)
- * 
        
- * IDENTITY: Weights are set to an identity matrix. Note: can only be used with square weight matrices
- * 
        
- * VAR_SCALING_NORMAL_FAN_IN Gaussian distribution with mean 0, variance 1.0/(fanIn)
- * 
        
- * VAR_SCALING_NORMAL_FAN_OUT Gaussian distribution with mean 0, variance 1.0/(fanOut)
- * 
        
- * VAR_SCALING_NORMAL_FAN_AVG Gaussian distribution with mean 0, variance 1.0/((fanIn + fanOut)/2)
- * 
        
- * VAR_SCALING_UNIFORM_FAN_IN Uniform U[-a,a] with a=3.0/(fanIn)
- * 
        
- * VAR_SCALING_UNIFORM_FAN_OUT Uniform U[-a,a] with a=3.0/(fanOut)
- * 
        
- * VAR_SCALING_UNIFORM_FAN_AVG Uniform U[-a,a] with a=3.0/((fanIn + fanOut)/2)
- * 
        
- * @author Adam Gibson
- */
 public enum WeightInit {
     DISTRIBUTION, ZERO, ONES, SIGMOID_UNIFORM, NORMAL, LECUN_NORMAL, UNIFORM, XAVIER, XAVIER_UNIFORM, XAVIER_FAN_IN, XAVIER_LEGACY, RELU,
     RELU_UNIFORM, IDENTITY, LECUN_UNIFORM, VAR_SCALING_NORMAL_FAN_IN, VAR_SCALING_NORMAL_FAN_OUT, VAR_SCALING_NORMAL_FAN_AVG,
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInitScheme.java
index a3951667a..73fc5be2f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/WeightInitScheme.java
@@ -1,33 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit;
 
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Defines weight initialization for neural networks.
- *
- * Use {@link BaseWeightInitScheme}
- * to create a new {@link WeightInitScheme}
- * This is needed to  handle things like the parameters view.
- *
- * @author Adam Gibson
- */
 public interface WeightInitScheme {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ConstantInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ConstantInitScheme.java
index da780fd89..74370926c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ConstantInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ConstantInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/DistributionInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/DistributionInitScheme.java
index 224913aca..b9cc7469c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/DistributionInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/DistributionInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/IdentityInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/IdentityInitScheme.java
index f415f7c3e..a69ee268f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/IdentityInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/IdentityInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/LecunUniformInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/LecunUniformInitScheme.java
index 6217cf4a0..91c398424 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/LecunUniformInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/LecunUniformInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/NDArraySupplierInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/NDArraySupplierInitScheme.java
index a5e64f30a..dcbc7055a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/NDArraySupplierInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/NDArraySupplierInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/OneInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/OneInitScheme.java
index c0ba079cc..b08b58718 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/OneInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/OneInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluInitScheme.java
index c97ab5933..4843cd6cf 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluUniformInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluUniformInitScheme.java
index d364cee2d..0ffa0d6ef 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluUniformInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ReluUniformInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/SigmoidUniformInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/SigmoidUniformInitScheme.java
index 65d3ac2bb..615070802 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/SigmoidUniformInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/SigmoidUniformInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/UniformInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/UniformInitScheme.java
index 84fd6d373..680b5ce4a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/UniformInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/UniformInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanAvgInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanAvgInitScheme.java
index eaf3aadc3..b384973a6 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanAvgInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanAvgInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanInInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanInInitScheme.java
index e56585246..e3839efc0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanInInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanInInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanOutInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanOutInitScheme.java
index cc6a5b8ac..24fa4c944 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanOutInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalFanOutInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanInInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanInInitScheme.java
index de9cea02b..4a44b6a36 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanInInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanInInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanOutInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanOutInitScheme.java
index 6636238e6..a2e5c49e0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanOutInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingNormalUniformFanOutInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingUniformFanAvgInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingUniformFanAvgInitScheme.java
index 4ea49567d..a1aa1a54a 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingUniformFanAvgInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/VarScalingUniformFanAvgInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierFanInInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierFanInInitScheme.java
index 9eb482cd1..d361d645d 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierFanInInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierFanInInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierInitScheme.java
index 039cdb6e7..c10a40ce5 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierUniformInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierUniformInitScheme.java
index d1f156b01..2bfebd419 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierUniformInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/XavierUniformInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.weightinit.BaseWeightInitScheme;
 import org.nd4j.weightinit.WeightInit;
 
-/**
- * Initialize the weight to:
- * //As per Glorot and Bengio 2010: Uniform distribution U(-s,s) with s = sqrt(6/(fanIn + fanOut))
- * Eq 16: http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
- */
 public class XavierUniformInitScheme extends BaseWeightInitScheme {
 
     private double fanIn;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ZeroInitScheme.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ZeroInitScheme.java
index ab2245776..28b440b21 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ZeroInitScheme.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/weightinit/impl/ZeroInitScheme.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.weightinit.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/mapper.proto b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/mapper.proto
new file mode 100644
index 000000000..5f6cd6b5f
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/mapper.proto
@@ -0,0 +1,62 @@
+syntax = "proto3";
+package org.nd4j.ir;
+option java_outer_classname = "MapperNamespace";
+
+import "op.proto";
+
+message MappingRule {
+  string ruleName = 1;
+  string functionName = 2;
+  repeated string inputStringAttrName = 3;
+  repeated string outputStringAttrName = 4;
+  repeated string inputIntName = 5;
+  repeated  string outputIntName = 6;
+  repeated string  inputFloatName = 7;
+  repeated string outputFloatName = 8;
+  repeated string  inputDoubleName = 9;
+  repeated string outputDoubleName = 10;
+  repeated string  inputBooleanName = 11;
+  repeated string outputBooleanName = 12;
+  repeated string inputTensorName = 13;
+  repeated string outputTensorName = 14;
+  repeated string inputDataTypeName = 15;
+  repeated string outputDataTypeName = 16;
+  map inputToOutput = 17;
+  string ruleType = 18;
+  repeated TransformerArgs transformerArgs = 19;
+  string inputFrameworkOpName = 20;
+
+}
+
+
+message TransformerArgs {
+  string key = 1;
+  repeated ArgDescriptor transformerArgs = 2;
+}
+
+message MappingDefinitionSet {
+  repeated MapperDeclaration mappings = 1;
+  repeated string name = 2;
+}
+
+
+
+message MapperDeclaration {
+  string frameworkName = 1;
+  string opName = 2;
+  string inputFrameworkOpName = 3;
+  //the rules to apply for attributes
+  repeated MappingRule rule = 4;
+  map indexOverrides = 5;
+
+}
+
+enum OpListType {
+  TARG = 0;
+  IARG = 1;
+  BARG = 2;
+  DTYPEARG = 3;
+  INPUTARG = 4;
+  OUTPUTARG = 5;
+  AXISARG = 6;
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/op.proto b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/op.proto
new file mode 100644
index 000000000..d3d0c4d4f
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/op.proto
@@ -0,0 +1,63 @@
+syntax = "proto3";
+package org.nd4j.ir;
+option java_outer_classname = "OpNamespace";
+
+import "tensor.proto";
+
+message ArgDescriptor {
+  enum ArgType {
+    FLOAT = 0;
+    DOUBLE = 1;
+    INT32 = 2;
+    INT64 = 3;
+    BOOL = 4;
+    DATA_TYPE = 5;
+    INPUT_TENSOR = 6;
+    OUTPUT_TENSOR = 7;
+    STRING = 8;
+  }
+
+  string name = 1;
+  float floatValue = 2;
+  double doubleValue = 3;
+  int32 int32Value = 4;
+  int64 int64Value = 5;
+  bool boolValue  = 6;
+  DataType dataTypeValue = 7;
+  TensorProto inputValue = 8;
+  TensorProto outputValue = 9;
+  ArgType argType = 10;
+  int32 argIndex = 11;
+  string stringValue = 12;
+  bool argOptional = 13;
+  bool convertBoolToInt = 14;
+  bool isArray = 15;
+}
+
+//Op descriptor
+message OpDescriptor {
+  enum OpDeclarationType {
+      CUSTOM_OP_IMPL = 0;
+      BOOLEAN_OP_IMPL = 1;
+      LIST_OP_IMPL = 2;
+      LOGIC_OP_IMPL = 3;
+      OP_IMPL = 4;
+      DIVERGENT_OP_IMPL = 6;
+      CONFIGURABLE_OP_IMPL = 7;
+      REDUCTION_OP_IMPL = 8;
+      BROADCASTABLE_OP_IMPL = 9;
+      BROADCASTABLE_BOOL_OP_IMPL = 10;
+      LEGACY_XYZ = 11;
+      PLATFORM_IMPL = 12;
+  }
+
+
+  string name = 1;
+  repeated ArgDescriptor argDescriptor = 2;
+  OpDeclarationType opDeclarationType = 3;
+}
+
+message OpDescriptorList {
+  repeated OpDescriptor opList = 1;
+}
+
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/tensor.proto b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/tensor.proto
new file mode 100644
index 000000000..7103fb4de
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/nd4j/tensor.proto
@@ -0,0 +1,215 @@
+syntax = "proto3";
+package org.nd4j.ir;
+
+
+option java_outer_classname = "TensorNamespace";
+
+
+//Using a subset of onnx, we define a small IR
+//for defining nd4j operations
+
+// StringStringEntryProto follows the pattern for cross-proto-version maps.
+// See https://developers.google.com/protocol-buffers/docs/proto3#maps
+message StringStringEntryProto {
+  string key = 1;
+  string value= 2;
+}
+
+enum DataType {
+  UNDEFINED = 0;
+  // Basic types.
+  FLOAT = 1;   // float
+  UINT8 = 2;   // uint8_t
+  INT8 = 3;    // int8_t
+  UINT16 = 4;  // uint16_t
+  INT16 = 5;   // int16_t
+  INT32 = 6;   // int32_t
+  INT64 = 7;   // int64_t
+  STRING = 8;  // string
+  BOOL = 9;    // bool
+
+  // IEEE754 half-precision floating-point format (16 bits wide).
+  // This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
+  FLOAT16 = 10;
+
+  DOUBLE = 11;
+  UINT32 = 12;
+  UINT64 = 13;
+  COMPLEX64 = 14;     // complex with float32 real and imaginary components
+  COMPLEX128 = 15;    // complex with float64 real and imaginary components
+
+  // Non-IEEE floating-point format based on IEEE754 single-precision
+  // floating-point number truncated to 16 bits.
+  // This format has 1 sign bit, 8 exponent bits, and 7 mantissa bits.
+  BFLOAT16 = 16;
+
+  // Future extensions go here.
+}
+
+
+
+
+// Define the types.
+message TypeProto {
+
+  message TensorDescriptor {
+    // This field MUST NOT have the value of UNDEFINED
+    // This field MUST be present for this version of the IR.
+    DataType elem_type = 1;
+    TensorShapeProto shape = 2;
+  }
+
+
+  oneof value {
+    // The type of a tensor.
+    TensorDescriptor tensor_type = 1;
+
+  }
+}
+
+// Defines a tensor shape. A dimension can be either an integer value
+// or a symbolic variable. A symbolic variable represents an unknown
+// dimension.
+message TensorShapeProto {
+  message Dimension {
+    oneof value {
+      int64 dim_value = 1;
+      string dim_param = 2;   // namespace Shape
+    };
+  };
+  repeated Dimension dim = 1;
+}
+
+
+// Defines information on value, including the name, the type, and
+// the shape of the value.
+message ValueInfoProto {
+  // This field MUST be present in this version of the IR.
+  string name = 1;     // namespace Value
+  // This field MUST be present in this version of the IR.
+  TypeProto type = 2;
+  // A human-readable documentation for this value. Markdown is allowed.
+  string doc_string = 3;
+}
+
+
+
+
+// Tensors
+//
+// A serialized tensor value.
+message TensorProto {
+
+  // The shape of the tensor.
+  repeated int64 dims = 1;
+
+  // The data type of the tensor.
+  // This field MUST have a valid TensorProto.DataType value
+  int32 data_type = 2;
+
+  // For very large tensors, we may want to store them in chunks, in which
+  // case the following fields will specify the segment that is stored in
+  // the current TensorProto.
+  message Segment {
+    int64 begin = 1;
+    int64 end = 2;
+  }
+  Segment segment = 3;
+
+  // Tensor content must be organized in row-major order.
+  //
+  // Depending on the data_type field, exactly one of the fields below with
+  // name ending in _data is used to store the elements of the tensor.
+
+  // For float and complex64 values
+  // Complex64 tensors are encoded as a single array of floats,
+  // with the real components appearing in odd numbered positions,
+  // and the corresponding imaginary component appearing in the
+  // subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+  // is encoded as [1.0, 2.0 ,3.0 ,4.0]
+  // When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
+  repeated float float_data = 4 [packed = true];
+
+  // For int32, uint8, int8, uint16, int16, bool, and float16 values
+  // float16 values must be bit-wise converted to an uint16_t prior
+  // to writing to the buffer.
+  // When this field is present, the data_type field MUST be
+  // INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
+  repeated int32 int32_data = 5 [packed = true];
+
+  // For strings.
+  // Each element of string_data is a UTF-8 encoded Unicode
+  // string. No trailing null, no leading BOM. The protobuf "string"
+  // scalar type is not used to match ML community conventions.
+  // When this field is present, the data_type field MUST be STRING
+  repeated bytes string_data = 6;
+
+  // For int64.
+  // When this field is present, the data_type field MUST be INT64
+  repeated int64 int64_data = 7 [packed = true];
+
+  // Optionally, a name for the tensor.
+  string name = 8; // namespace Value
+
+  // A human-readable documentation for this tensor. Markdown is allowed.
+  string doc_string = 12;
+
+  // Serializations can either use one of the fields above, or use this
+  // raw bytes field. The only exception is the string case, where one is
+  // required to store the content in the repeated bytes string_data field.
+  //
+  // When this raw_data field is used to store tensor value, elements MUST
+  // be stored in as fixed-width, little-endian order.
+  // Floating-point data types MUST be stored in IEEE 754 format.
+  // Complex64 elements must be written as two consecutive FLOAT values, real component first.
+  // Complex128 elements must be written as two consecutive DOUBLE values, real component first.
+  // Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
+  //
+  // Note: the advantage of specific field rather than the raw_data field is
+  // that in some cases (e.g. int data), protobuf does a better packing via
+  // variable length storage, and may lead to smaller binary footprint.
+  // When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
+  bytes raw_data = 9;
+
+  // Data can be stored inside the protobuf file using type-specific fields or raw_data.
+  // Alternatively, raw bytes data can be stored in an external file, using the external_data field.
+  // external_data stores key-value pairs describing data location. Recognized keys are:
+  // - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
+  //                           protobuf model was stored
+  // - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
+  //                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
+  // - "length" (optional) - number of bytes containing data. Integer stored as string.
+  // - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
+  repeated StringStringEntryProto external_data = 13;
+
+  // Location of the data for this tensor. MUST be one of:
+  // - DEFAULT - data stored inside the protobuf message. Data is stored in raw_data (if set) otherwise in type-specified field.
+  // - EXTERNAL - data stored in an external location as described by external_data field.
+  enum DataLocation {
+    DEFAULT = 0;
+    EXTERNAL = 1;
+  }
+
+  // If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+  DataLocation data_location = 14;
+
+  // For double
+  // Complex128 tensors are encoded as a single array of doubles,
+  // with the real components appearing in odd numbered positions,
+  // and the corresponding imaginary component appearing in the
+  // subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
+  // is encoded as [1.0, 2.0 ,3.0 ,4.0]
+  // When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
+  repeated double double_data = 10 [packed = true];
+
+  // For uint64 and uint32 values
+  // When this field is present, the data_type field MUST be
+  // UINT32 or UINT64
+  repeated uint64 uint64_data = 11 [packed = true];
+
+  // For half values (tensorflow compatibility)
+  repeated int32 half_val = 15 [packed = true];
+  //boolean values
+  repeated bool  bool_val = 16 [packed = true];
+}
+
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/any.js b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/any.js
index d7ca6e3a4..c5fbb3121 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/any.js
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/any.js
@@ -1,35 +1,22 @@
-// Protocol Buffers - Google's data interchange format
-// Copyright 2008 Google Inc.  All rights reserved.
-// https://developers.google.com/protocol-buffers/
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are
-// met:
-//
-//     * Redistributions of source code must retain the above copyright
-// notice, this list of conditions and the following disclaimer.
-//     * Redistributions in binary form must reproduce the above
-// copyright notice, this list of conditions and the following disclaimer
-// in the documentation and/or other materials provided with the
-// distribution.
-//     * Neither the name of Google Inc. nor the names of its
-// contributors may be used to endorse or promote products derived from
-// this software without specific prior written permission.
-//
-// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-/* This code will be inserted into generated code for
- * google/protobuf/any.proto. */
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * Returns the type name contained in this instance, if any.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/struct.js b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/struct.js
index 30e3d02a6..a47287bdc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/struct.js
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/struct.js
@@ -1,35 +1,22 @@
-// Protocol Buffers - Google's data interchange format
-// Copyright 2008 Google Inc.  All rights reserved.
-// https://developers.google.com/protocol-buffers/
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are
-// met:
-//
-//     * Redistributions of source code must retain the above copyright
-// notice, this list of conditions and the following disclaimer.
-//     * Redistributions in binary form must reproduce the above
-// copyright notice, this list of conditions and the following disclaimer
-// in the documentation and/or other materials provided with the
-// distribution.
-//     * Neither the name of Google Inc. nor the names of its
-// contributors may be used to endorse or promote products derived from
-// this software without specific prior written permission.
-//
-// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-/* This code will be inserted into generated code for
- * google/protobuf/struct.proto. */
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * Typedef representing plain JavaScript values that can go into a
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/timestamp.js b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/timestamp.js
index b7e43f196..a1426aa07 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/timestamp.js
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/js/well_known_types/timestamp.js
@@ -1,35 +1,22 @@
-// Protocol Buffers - Google's data interchange format
-// Copyright 2008 Google Inc.  All rights reserved.
-// https://developers.google.com/protocol-buffers/
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are
-// met:
-//
-//     * Redistributions of source code must retain the above copyright
-// notice, this list of conditions and the following disclaimer.
-//     * Redistributions in binary form must reproduce the above
-// copyright notice, this list of conditions and the following disclaimer
-// in the documentation and/or other materials provided with the
-// distribution.
-//     * Neither the name of Google Inc. nor the names of its
-// contributors may be used to endorse or promote products derived from
-// this software without specific prior written permission.
-//
-// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-/* This code will be inserted into generated code for
- * google/protobuf/timestamp.proto. */
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 /**
  * Returns a JavaScript 'Date' object corresponding to this Timestamp.
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/zip_output_unittest.sh b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/zip_output_unittest.sh
index f85979128..cc3047869 100755
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/zip_output_unittest.sh
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/compiler/zip_output_unittest.sh
@@ -1,38 +1,27 @@
 #!/bin/sh
 #
-# Protocol Buffers - Google's data interchange format
-# Copyright 2009 Google Inc.  All rights reserved.
-# https://developers.google.com/protocol-buffers/
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Redistribution and use in source and binary forms, with or without
-# modification, are permitted provided that the following conditions are
-# met:
-#
-#     * Redistributions of source code must retain the above copyright
-# notice, this list of conditions and the following disclaimer.
-#     * Redistributions in binary form must reproduce the above
-# copyright notice, this list of conditions and the following disclaimer
-# in the documentation and/or other materials provided with the
-# distribution.
-#     * Neither the name of Google Inc. nor the names of its
-# contributors may be used to endorse or promote products derived from
-# this software without specific prior written permission.
-#
-# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-# Author: kenton@google.com (Kenton Varda)
-#
-# Test protoc's zip output mode.
+
+
+
 
 fail() {
   echo "$@" >&2
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/io/gzip_stream_unittest.sh b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/io/gzip_stream_unittest.sh
index 16251a94d..ff7837518 100755
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/io/gzip_stream_unittest.sh
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/protobuf/tf/google/protobuf/io/gzip_stream_unittest.sh
@@ -1,39 +1,23 @@
 #!/bin/sh -x
 #
-# Protocol Buffers - Google's data interchange format
-# Copyright 2009 Google Inc.  All rights reserved.
-# https://developers.google.com/protocol-buffers/
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Redistribution and use in source and binary forms, with or without
-# modification, are permitted provided that the following conditions are
-# met:
-#
-#     * Redistributions of source code must retain the above copyright
-# notice, this list of conditions and the following disclaimer.
-#     * Redistributions in binary form must reproduce the above
-# copyright notice, this list of conditions and the following disclaimer
-# in the documentation and/or other materials provided with the
-# distribution.
-#     * Neither the name of Google Inc. nor the names of its
-# contributors may be used to endorse or promote products derived from
-# this software without specific prior written permission.
-#
-# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-#
-# Author: brianolson@google.com (Brian Olson)
-#
-# Test compatibility between command line gzip/gunzip binaries and
-# ZeroCopyStream versions.
 
 TESTFILE=Makefile
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/META-INF/services/org.nd4j.linalg.env.EnvironmentalAction b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/META-INF/services/org.nd4j.linalg.env.EnvironmentalAction
index 30339acd8..d70a36a21 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/META-INF/services/org.nd4j.linalg.env.EnvironmentalAction
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/META-INF/services/org.nd4j.linalg.env.EnvironmentalAction
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/functions.properties b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/functions.properties
index 015a72c2c..320bd6644 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/functions.properties
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/functions.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 org.nd4j.linalg.ops.transform.names=abs,acos,asin,atan,ceil,cos,exp,floor,hardtanh,identity,log,maxout,negative,pow,round,sigmoid,sign,sin,sqrt,stabilize,tanh
 org.nd4j.linalg.ops.transform.packages=org.nd4j.linalg.api.ops.transforms
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/onnx.pbtxt b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/onnx.pbtxt
new file mode 100644
index 000000000..e6c232be4
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/onnx.pbtxt
@@ -0,0 +1,6004 @@
+input: "X"
+output: "Y"
+name: "Abs"
+op_type: "Abs"
+attribute {
+  name: "X-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nAbsolute takes one input data (Tensor) and produces one output data\n(Tensor) where the absolute is, y = abs(x), is applied to\nthe tensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Acos"
+op_type: "Acos"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the arccosine (inverse of cosine) of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Acosh"
+op_type: "Acosh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic arccosine of the given input tensor element-wise.\n"
+--
+input: "R"
+input: "T"
+input: "inputs"
+output: "outputs"
+name: "Adagrad"
+op_type: "Adagrad"
+attribute {
+  name: "decay_factor"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "epsilon"
+  f: 1e-06
+  type: FLOAT
+}
+attribute {
+  name: "norm_coefficient"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "T-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "inputs-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Compute one iteration of ADAGRAD, a stochastic gradient based optimization\n    algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n    Let\'s define the behavior of this operator. As you can imagine, ADAGRAD requires\n    some parameters:\n     \n     - The initial learning-rate \"R\".\n     - The update count \"T\". That is, the number of training iterations conducted.\n     - A L2-norm regularization coefficient \"norm_coefficient\".\n     - A learning-rate decay factor \"decay_factor\".\n     - A small constant \"epsilon\" to avoid dividing-by-zero. \n\n    At each ADAGRAD iteration, the optimized tensors are moved along a direction\n    computed based on their estimated gradient and accumulated squared gradient. Assume\n    that only a single tensor \"X\" is updated by this operator. We need the value of \"X\",\n    its gradient \"G\", and its accumulated squared gradient \"H\". Therefore, variables in\n    this operator\'s input list are sequentially \"R\", \"T\", \"X\", \"G\", and \"H\". Other\n    parameters are given as attributes because they are usually constants. Also, the\n    corresponding output tensors are the new value of \"X\" (called \"X_new\"), and then\n    the new accumulated squared gradient (called \"H_new\"). Those outputs are computed\n    from the given inputs following the pseudo code below.\n\n    Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n    numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n      // Compute a scalar learning-rate factor. At the first update of X, T is generally\n      // 0 (0-based update index) or 1 (1-based update index).\n      r = R / (1 + T * decay_factor);\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n      G_regularized = norm_coefficient * X + G;\n\n      // Compute new accumulated squared gradient.\n      H_new = H + G_regularized * G_regularized;\n\n      // Compute the adaptive part of per-coordinate learning rate. Note that Sqrt(...)\n      // computes element-wise square-root.\n      H_adaptive = Sqrt(H_new) + epsilon\n\n      // Compute the new value of \"X\".\n      X_new = X - r * G_regularized / H_adaptive;\n\n    If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\", the same\n    pseudo code may be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n    concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n    be concatenated too) and then just reuse the entire pseudo code.\n\n    Note that ADAGRAD was first proposed in http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf.\n    In that reference paper, this operator is a special case of the Figure 1\'s composite mirror\n    descent update.\n"
+--
+input: "R"
+input: "T"
+input: "inputs"
+output: "outputs"
+name: "Adam"
+op_type: "Adam"
+attribute {
+  name: "alpha"
+  f: 0.9
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 0.999
+  type: FLOAT
+}
+attribute {
+  name: "epsilon"
+  f: 1e-06
+  type: FLOAT
+}
+attribute {
+  name: "norm_coefficient"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "norm_coefficient_post"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "T-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "inputs-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Compute one iteration of Adam, a stochastic gradient based optimization\n    algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n    Let\'s define the behavior of this operator. First of all, Adam requires\n    some parameters:\n     \n     - The learning-rate \"R\".\n     - The update count \"T\". That is, the number of training iterations conducted.\n     - A L2-norm regularization coefficient \"norm_coefficient\".\n     - A small constant \"epsilon\" to avoid dividing-by-zero. \n     - Two coefficients, \"alpha\" and \"beta\".\n\n    At each Adam iteration, the optimized tensors are moved along a direction\n    computed based on their exponentially-averaged historical gradient and\n    exponentially-averaged historical squared gradient. Assume that only a tensor\n    \"X\" is being optimized. The rest of required information is\n    \n     - the value of \"X\",\n     - \"X\"\'s gradient (denoted by \"G\"),\n     - \"X\"\'s exponentially-averaged historical gradient (denoted by \"V\"), and\n     - \"X\"\'s exponentially-averaged historical squared gradient (denoted by \"H\").\n\n    Some of those parameters are passed into this operator as input tensors and others\n    are stored as this operator\'s attributes. Specifically, this operator\'s input tensor\n    list is [\"R\", \"T\", \"X\", \"G\", \"V\", \"H\"]. That is, \"R\" is the first input, \"T\" is\n    the second input, and so on. Other parameters are given as attributes because they\n    are constants. Moreover, the corresponding output tensors are \n    \n     - the new value of \"X\" (called \"X_new\"),\n     - the new exponentially-averaged historical gradient (denoted by \"V_new\"), and\n     - the new exponentially-averaged historical squared gradient (denoted by \"H_new\").\n\n    Those outputs are computed following the pseudo code below.\n\n    Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n    numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n      G_regularized = norm_coefficient * X + G\n\n      // Update exponentially-averaged historical gradient.\n      V_new = alpha * V + (1 - alpha) * G_regularized\n\n      // Update exponentially-averaged historical squared gradient.\n      H_new = beta * H + (1 - beta) * G_regularized * G_regularized\n\n      // Compute the element-wise square-root of H_new. V_new will be element-wisely\n      // divided by H_sqrt for a better update direction.\n      H_sqrt = Sqrt(H_new) + epsilon\n\n      // Compute learning-rate. Note that \"alpha**T\"/\"beta**T\" is alpha\'s/beta\'s T-th power.\n      R_adjusted = T > 0 ? R * Sqrt(1 - beta**T) / (1 - alpha**T) : R\n\n      // Compute new value of \"X\".\n      X_new = X - R_adjusted * V_new / H_sqrt\n\n      // Post-update regularization.\n      X_final = (1 - norm_coefficient_post) * X_new \n\n    If there are multiple inputs to be optimized, the pseudo code will be applied\n    independently to each of them.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Add"
+op_type: "Add"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary addition (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "And"
+op_type: "And"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `and` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "data"
+output: "reduced"
+name: "ArgMax"
+op_type: "ArgMax"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "select_last_index"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the indices of the max elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the max \nis selected if the max appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer."
+--
+input: "data"
+output: "reduced"
+name: "ArgMin"
+op_type: "ArgMin"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "select_last_index"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the indices of the min elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the min \nis selected if the min appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer."
+--
+input: "X"
+input: "Y"
+output: "Z"
+name: "ArrayFeatureExtractor"
+op_type: "ArrayFeatureExtractor"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  strings: "double"
+  strings: "float"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\n    Select elements of the input tensor based on the indices passed.
        \n    The indices are applied to the last axes of the tensor.\n"
+--
+input: "input"
+output: "output"
+name: "Asin"
+op_type: "Asin"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the arcsine (inverse of sine) of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Asinh"
+op_type: "Asinh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic arcsine of the given input tensor element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Atan"
+op_type: "Atan"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the arctangent (inverse of tangent) of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Atanh"
+op_type: "Atanh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic arctangent of the given input tensor element-wise.\n"
+--
+input: "X"
+output: "Y"
+name: "AveragePool"
+op_type: "AveragePool"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "ceil_mode"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "count_include_pad"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n AveragePool consumes an input tensor X and applies average pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n average pooling consisting of computing the average on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - kernel_spatial_shape[i] + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + kernel_spatial_shape[i] - input_spatial_shape[i]\n ```\n The output of each pooling window is divided by the number of elements (exclude pad when attribute count_include_pad is zero).\n "
+--
+input: "X"
+input: "scale"
+input: "B"
+input: "mean"
+input: "var"
+output: "Y"
+output: "mean"
+output: "var"
+output: "saved_mean"
+output: "saved_var"
+name: "BatchNormalization"
+op_type: "BatchNormalization"
+attribute {
+  name: "epsilon"
+  f: 1e-05
+  type: FLOAT
+}
+attribute {
+  name: "momentum"
+  f: 0.9
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "scale-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "mean-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "var-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCarries out batch normalization as described in the paper\nhttps://arxiv.org/abs/1502.03167. Depending on the mode it is being run,\nthere are multiple cases for the number of outputs, which we list below:\n\nOutput case #1: Y, mean, var, saved_mean, saved_var (training mode)\nOutput case #2: Y (test mode)\n\nFor previous (depreciated) non-spatial cases, implementors are suggested\nto flatten the input shape to (N x C*D1*D2 ..*Dn) before a BatchNormalization Op.\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "X"
+output: "Y"
+name: "Binarizer"
+op_type: "Binarizer"
+attribute {
+  name: "threshold"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.\n"
+--
+input: "X"
+input: "Y"
+output: "Z"
+name: "BitShift"
+op_type: "BitShift"
+attribute {
+  name: "direction"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "uint16"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "uint16"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nBitwise shift operator performs element-wise operation. For each input element, if the\n attribute \"direction\" is \"RIGHT\", this operator moves its binary representation toward\n the right side so that the input value is effectively decreased. If the attribute \"direction\"\n is \"LEFT\", bits of binary representation moves toward the left side, which results the\n increase of its actual value. The input X is the tensor to be shifted and another input\n Y specifies the amounts of shifting. For example, if \"direction\" is \"Right\", X is [1, 4],\n and S is [1, 1], the corresponding output Z would be [0, 2]. If \"direction\" is \"LEFT\" with\n X=[1, 2] and S=[1, 2], the corresponding output Y would be [2, 8].\n \n Because this operator supports Numpy-style broadcasting, X\'s and Y\'s shapes are\n not necessarily identical.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)."
+--
+input: "input"
+output: "output"
+name: "Cast"
+op_type: "Cast"
+attribute {
+  name: "to"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "double"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe operator casts the elements of a given input tensor to a data type\nspecified by the \'to\' argument and returns an output tensor of the same size in\nthe converted type. The \'to\' argument must be one of the data types specified\nin the \'DataType\' enum field in the TensorProto message.\n\nCasting from string tensor in plain (e.g., \"3.14\" and \"1000\") and scientific numeric representations\n(e.g., \"1e-5\" and \"1E8\") to float types is supported. For example, converting string \"100.5\" to an integer may\nresult 100. There are some string literals reserved for special floating-point values;\n\"+INF\" (and \"INF\"), \"-INF\", and \"NaN\" are positive infinity, negative infinity, and not-a-number, respectively.\nAny string which can exactly match \"+INF\" in a case-insensitive way would be mapped to positive infinite. Similarly,\nthis case-insensitive rule is applied to \"INF\" and \"NaN\". When casting from numeric tensors\nto string tensors, plain floating-point representation (such as \"314.15926\") would be used. \nConverting non-numerical-literal string such as \"Hello World!\" is an undefined behavior. Cases \nof converting string representing floating-point arithmetic value, such as \"2.718\", to INT is an undefined behavior.\n\nConversion from a numerical type to any numerical type is always allowed.\nUser must be aware of precision loss and value change caused by range difference between two types.\nFor example, a 64-bit float 3.1415926459 may be round to a 32-bit float 3.141592. Similarly, converting\nan integer 36 to Boolean may produce 1 because we truncate bits which can\'t be stored in the targeted type.\n"
+--
+input: "X"
+output: "Y"
+name: "CastMap"
+op_type: "CastMap"
+attribute {
+  name: "cast_to"
+  s: "TO_FLOAT"
+  type: STRING
+}
+attribute {
+  name: "map_form"
+  s: "DENSE"
+  type: STRING
+}
+attribute {
+  name: "max_map"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "map(int64,float"
+  strings: "map(int64,string"
+  type: STRINGS
+}
+doc_string: "\n    Converts a map to a tensor.
        The map key must be an int64 and the values will be ordered\n    in ascending order based on this key.
        The operator supports dense packing or sparse packing.\n    If using sparse packing, the key cannot exceed the max_map-1 value.\n"
+--
+input: "X"
+output: "Y"
+name: "CategoryMapper"
+op_type: "CategoryMapper"
+attribute {
+  name: "cats_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "cats_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "default_int64"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "default_string"
+  s: "_Unused"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  type: STRINGS
+}
+doc_string: "\n    Converts strings to integers and vice versa.
        \n    Two sequences of equal length are used to map between integers and strings,\n    with strings and integers at the same index detailing the mapping.
        \n    Each operator converts either integers to strings or strings to integers, depending \n    on which default value attribute is provided. Only one default value attribute\n    should be defined.
        \n    If the string default value is set, it will convert integers to strings.\n    If the int default value is set, it will convert strings to integers.\n"
+--
+input: "X"
+output: "Y"
+name: "Ceil"
+op_type: "Ceil"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCeil takes one input data (Tensor) and produces one output data\n(Tensor) where the ceil is, y = ceil(x), is applied to\nthe tensor elementwise.\n"
+--
+input: "X"
+output: "Y"
+name: "Celu"
+op_type: "Celu"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nContinuously Differentiable Exponential Linear Units:\nPerform the linear unit element-wise on the input tensor X\nusing formula: \n\n```\nmax(0,x) + min(0,alpha*(exp(x/alpha)-1))\n```\n"
+--
+input: "input"
+input: "min"
+input: "max"
+output: "output"
+name: "Clip"
+op_type: "Clip"
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "min-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "max-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nClip operator limits the given input within an interval. The interval is\nspecified by the inputs \'min\' and \'max\'. They default to\nnumeric_limits::lowest() and numeric_limits::max(), respectively.\n"
+--
+input: "input"
+input: "condition"
+output: "output"
+name: "Compress"
+op_type: "Compress"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "condition-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\n    Selects slices from an input tensor along a given axis where condition evaluates to True for each axis index.\n    In case axis is not provided, input is flattened before elements are selected.\n    Compress behaves like numpy.compress: https://docs.scipy.org/doc/numpy/reference/generated/numpy.compress.html\n    "
+--
+input: "inputs"
+output: "concat_result"
+name: "Concat"
+op_type: "Concat"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "Concatenate a list of tensors into a single tensor. All input tensors must have the same shape, except for the dimension size of the axis to concatenate on."
+--
+input: "input_sequence"
+output: "concat_result"
+name: "ConcatFromSequence"
+op_type: "ConcatFromSequence"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "new_axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+doc_string: "\nConcatenate a sequence of tensors into a single tensor.\nAll input tensors must have the same shape, except for the dimension size of the axis to concatenate on.\nBy default \'new_axis\' is 0, the behavior is similar to numpy.concatenate.\nWhen \'new_axis\' is 1, the behavior is similar to numpy.stack.\n"
+--
+output: "output"
+name: "Constant"
+op_type: "Constant"
+attribute {
+  name: "sparse_value"
+  s: ""
+  type: SPARSE_TENSOR
+}
+attribute {
+  name: "value"
+  s: ""
+  type: TENSOR
+}
+attribute {
+  name: "value_float"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "value_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "value_int"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "value_ints"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "value_string"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "value_strings"
+  s: ""
+  type: STRINGS
+}
+doc_string: "\nThis operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,\nor value_* must be specified.\n"
+--
+input: "input"
+output: "output"
+name: "ConstantOfShape"
+op_type: "ConstantOfShape"
+attribute {
+  name: "value"
+  s: ""
+  type: TENSOR
+}
+attribute {
+  name: "input-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor with given value and shape.\n"
+--
+input: "X"
+input: "W"
+input: "B"
+output: "Y"
+name: "Conv"
+op_type: "Conv"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe convolution operator consumes an input tensor and a filter, and\ncomputes the output."
+--
+input: "x"
+input: "w"
+input: "x_zero_point"
+input: "w_zero_point"
+output: "y"
+name: "ConvInteger"
+op_type: "ConvInteger"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "x-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "x_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe integer convolution operator consumes an input tensor, its zero-point, a filter, and its zero-point,\nand computes the output. The production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n"
+--
+input: "X"
+input: "W"
+input: "B"
+output: "Y"
+name: "ConvTranspose"
+op_type: "ConvTranspose"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "output_padding"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "output_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe convolution transpose operator consumes an input tensor and a filter,\nand computes the output.\n\nIf the pads parameter is provided the shape of the output is calculated via the following equation:\n\n  output_shape[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - pads[start_i] - pads[end_i]\n\noutput_shape can also be explicitly specified in which case pads values are auto generated using these equations:\n\n  total_padding[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - output_shape[i]\n  If (auto_pads != SAME_UPPER): pads[start_i] = total_padding[i]/2; pads[end_i] = total_padding[i] - (total_padding[i]/2)\n  Else: pads[start_i] = total_padding[i] - (total_padding[i]/2); pads[end_i] = (total_padding[i]/2).\n\n    "
+--
+input: "input"
+output: "output"
+name: "Cos"
+op_type: "Cos"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the cosine of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Cosh"
+op_type: "Cosh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic cosine of the given input tensor element-wise.\n"
+--
+input: "x"
+input: "axis"
+output: "y"
+name: "CumSum"
+op_type: "CumSum"
+attribute {
+  name: "exclusive"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "reverse"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "x-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "axis-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nPerforms cumulative sum of the input elements along the given axis.\nBy default, it will do the sum inclusively meaning the first element is copied as is.\nThrough an `exclusive` attribute, this behavior can change to exclude the first element.\nIt can also perform summation in the opposite direction of the axis. For that, set `reverse` attribute to 1.\n\nExample:\n```\ninput_x = [1, 2, 3]\naxis=0\noutput = [1, 3, 6]\nexclusive=1\noutput = [0, 1, 3]\nexclusive=0\nreverse=1\noutput = [6, 5, 3]\nexclusive=1\nreverse=1\noutput = [5, 3, 0]\n```\n "
+--
+input: "input"
+output: "output"
+name: "DepthToSpace"
+op_type: "DepthToSpace"
+attribute {
+  name: "blocksize"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "mode"
+  s: "DCR"
+  type: STRING
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "DepthToSpace rearranges (permutes) data from depth into blocks of spatial data.\nThis is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of\nthe input tensor where values from the depth dimension are moved in spatial blocks to the height\nand width dimensions. By default, `mode` = `DCR`.\nIn the DCR mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: depth, column, and then row. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, blocksize, blocksize, c // (blocksize**2), h, w])\n\ntmp = np.transpose(tmp, [0, 3, 4, 1, 5, 2])\n\ny = np.reshape(tmp, [b, c // (blocksize**2), h * blocksize, w * blocksize])\n\n\nIn the CRD mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: column, row, and the depth. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, c // (blocksize ** 2), blocksize, blocksize, h, w])\n\ntmp = np.transpose(tmp, [0, 1, 4, 2, 5, 3])\n\ny = np.reshape(tmp, [b, c // (blocksize ** 2), h * blocksize, w * blocksize])\n\n"
+--
+input: "x"
+input: "x_scale"
+input: "x_zero_point"
+output: "y"
+name: "DequantizeLinear"
+op_type: "DequantizeLinear"
+attribute {
+  name: "x-types"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "x_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "x_zero_point-types"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe linear dequantization operator. It consumes a quantized tensor, a scale, a zero point to compute the full precision tensor.\nThe dequantization formula is y = (x - x_zero_point) * x_scale. \'x_scale\' and \'x_zero_point\' must have same shape.\n\'x_zero_point\' and \'x\' must have same type. \'x\' and \'y\' must have same shape. In the case of dequantizing int32,\nthere\'s no zero point (zero point is supposed to be 0).\n"
+--
+input: "X"
+output: "Y"
+name: "Det"
+op_type: "Det"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nDet calculates determinant of a square matrix or batches of square matrices.\nDet takes one input tensor of shape `[*, M, M]`, where `*` is zero or more batch dimensions,\nand the inner-most 2 dimensions form square matrices.\nThe output is a tensor of shape `[*]`, containing the determinants of all input submatrices.\ne.g., When the input is 2-D, the output is a scalar(shape is empty: `[]`).\n"
+--
+input: "X"
+output: "Y"
+name: "DictVectorizer"
+op_type: "DictVectorizer"
+attribute {
+  name: "int64_vocabulary"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "string_vocabulary"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "map(string,double"
+  strings: "map(int64,double"
+  strings: "map(string,float"
+  strings: "map(int64,float"
+  strings: "map(int64,string"
+  strings: "map(string,int64"
+  type: STRINGS
+}
+doc_string: "\n    Uses an index mapping to convert a dictionary to an array.
        \n    Given a dictionary, each key is looked up in the vocabulary attribute corresponding to\n    the key type. The index into the vocabulary array at which the key is found is then\n    used to index the output 1-D tensor \'Y\' and insert into it the value found in the dictionary \'X\'.
        \n    The key type of the input map must correspond to the element type of the defined vocabulary attribute.\n    Therefore, the output array will be equal in length to the index mapping vector parameter.\n    All keys in the input dictionary must be present in the index mapping vector.\n    For each item in the input dictionary, insert its value in the output array.\n    Any keys not present in the input dictionary, will be zero in the output array.
        \n    For example: if the ``string_vocabulary`` parameter is set to ``[\"a\", \"c\", \"b\", \"z\"]``,\n    then an input of ``{\"a\": 4, \"c\": 8}`` will produce an output of ``[4, 8, 0, 0]``.\n    "
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Div"
+op_type: "Div"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary division (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "data"
+input: "ratio"
+input: "training_mode"
+output: "output"
+output: "mask"
+name: "Dropout"
+op_type: "Dropout"
+attribute {
+  name: "seed"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "ratio-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "training_mode-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nDropout takes an input floating-point tensor, an optional input ratio (floating-point scalar) and an optional input training_mode (boolean scalar). It produces two tensor outputs,\noutput (floating-point tensor) and mask (optional `Tensor`). If `training_mode` is true then the output Y will be a random dropout;\nNote that this Dropout scales the masked input data by the following equation, so to convert the trained model into inference mode,\nthe user can simply not pass `training_mode` input or set it to false.\n```\noutput = scale * data * mask,\n```\nwhere\n```\nscale = 1. / (1. - ratio).\n```\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "x"
+output: "y"
+output: "y_scale"
+output: "y_zero_point"
+name: "DynamicQuantizeLinear"
+op_type: "DynamicQuantizeLinear"
+attribute {
+  name: "x-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nA Function to fuse calculation for Scale, Zero Point and FP32->8Bit convertion of FP32 Input data.\nOutputs Scale, ZeroPoint and Quantized Input for a given FP32 Input.\nScale is calculated as:\n```\n y_scale = (max(x) - min(x))/(qmax - qmin)\n * where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n * data range is adjusted to include 0.\n```\nZero point is calculated as:\n```\nintermediate_zero_point = qmin - min(x)/y_scale\ny_zero_point = cast(round(saturate(itermediate_zero_point)))\n* where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\nData quantization formula is:\n```\ny = saturate (round (x / y_scale) + y_zero_point)\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\n"
+--
+input: "Inputs"
+output: "Output"
+name: "Einsum"
+op_type: "Einsum"
+attribute {
+  name: "equation"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "Inputs-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nAn einsum of the form ```term1, term2 -> output-term``` produces an output tensor using the following equation\n\n```output[output-term] = reduce-sum( input1[term1] * input2[term] )```\n\nwhere the reduce-sum performs a summation over all the indices occurring in in the input terms (term1, term2)\nthat do not occur in the output-term.\n\nThe Einsum operator evaluates algebraic tensor operations on a sequence of tensors, using the Einstein summation\nconvention. The equation string contains a comma-separated sequence of lower case letters. Each term corresponds to\nan operand tensor, and the characters within the terms correspond to operands dimensions.\n\nThis sequence may be followed by \"->\" to separate the left and right hand side of the equation.\nIf the equation contains \"->\" followed by the right-hand side, the explicit (not classical) form of the Einstein\nsummation is performed, and the right-hand side indices indicate output tensor dimensions. In other cases,\noutput indices are (implicitly) set to the alphabetically sorted sequence of indices appearing exactly once in the\nequation.\n\nWhen a dimension character is repeated in the left-hand side, it represents summation along the dimension.\n\nThe equation may contain ellipsis (\"...\") to enable broadcasting. Ellipsis must indicate a fixed number of dimensions.\nSpecifically, every occurrence of ellipsis in the equation must represent the same number of dimensions.\nThe right-hand side may contain exactly one ellipsis. In implicit mode, the ellipsis dimensions are set to the\nbeginning of the output. The equation string may contain space (U+0020) character.\n"
+--
+input: "X"
+output: "Y"
+name: "Elu"
+op_type: "Elu"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nElu takes one input data (Tensor) and produces one output data\n(Tensor) where the function `f(x) = alpha * (exp(x) - 1.) for x <\n0`, `f(x) = x for x >= 0`., is applied to the tensor elementwise.\n\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Equal"
+op_type: "Equal"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "input"
+output: "output"
+name: "Erf"
+op_type: "Erf"
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the error function of the given input tensor element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Exp"
+op_type: "Exp"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the exponential of the given input tensor, element-wise.\n"
+--
+input: "input"
+input: "shape"
+output: "output"
+name: "Expand"
+op_type: "Expand"
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "shape-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nBroadcast the input tensor following the given shape and the broadcast rule.\nThe broadcast rule is similar to numpy.array(input) * numpy.ones(shape):\nDimensions are right alignment;\nTwo corresponding dimension must have the same value, or one of them is equal to 1.\nAlso, this operator is similar to numpy.broadcast_to(input, shape),\nbut the major difference is numpy.broadcast_to() does not allow shape to be smaller than input.size().\nIt is possible that the output.shape is not equal to shape, when some dimensions in shape is equal to 1,\nor the shape.ndim < input.shape.ndim.\n"
+--
+input: "input"
+output: "output"
+name: "EyeLike"
+op_type: "EyeLike"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "k"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "double"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGenerate a 2D tensor (matrix) with ones on the diagonal and zeros everywhere else. Only 2D\ntensors are supported, i.e. input T1 must be of rank 2. The shape of the output tensor is the\nsame as the input tensor. The data type can be specified by the \'dtype\' argument. If\n\'dtype\' is not specified, then the type of input tensor is used. By default, the main diagonal\nis populated with ones, but attribute \'k\' can be used to populate upper or lower diagonals.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n"
+--
+input: "X"
+output: "Y"
+name: "FeatureVectorizer"
+op_type: "FeatureVectorizer"
+attribute {
+  name: "inputdimensions"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Concatenates input tensors into one continuous output.
        \n    All input shapes are 2-D and are concatenated along the second dimention. 1-D tensors are treated as [1,C].\n    Inputs are copied to the output maintaining the order of the input arguments.
        \n    All inputs must be integers or floats, while the output will be all floating point values.\n"
+--
+input: "input"
+output: "output"
+name: "Flatten"
+op_type: "Flatten"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nFlattens the input tensor into a 2D matrix. If input tensor has shape\n(d_0, d_1, ... d_n) then the output will have shape\n(d_0 X d_1 ... d_(axis-1), d_axis X d_(axis+1) ... X dn).\n"
+--
+input: "X"
+output: "Y"
+name: "Floor"
+op_type: "Floor"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nFloor takes one input data (Tensor) and produces one output data\n(Tensor) where the floor is, y = floor(x), is applied to\nthe tensor elementwise.\n"
+--
+input: "X"
+input: "W"
+input: "R"
+input: "B"
+input: "sequence_lens"
+input: "initial_h"
+output: "Y"
+output: "Y_h"
+name: "GRU"
+op_type: "GRU"
+attribute {
+  name: "activation_alpha"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activation_beta"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activations"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "clip"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "direction"
+  s: "forward"
+  type: STRING
+}
+attribute {
+  name: "hidden_size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "linear_before_reset"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "initial_h-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nComputes an one-layer GRU. This operator is usually supported via some custom\nimplementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`z` - update gate\n\n`r` - reset gate\n\n`h` - hidden gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[zrh]` - W parameter weight matrix for update, reset, and hidden gates\n\n`R[zrh]` - R recurrence weight matrix for update, reset, and hidden gates\n\n`Wb[zrh]` - W bias vectors for update, reset, and hidden gates\n\n`Rb[zrh]` - R bias vectors for update, reset, and hidden gates\n\n`WB[zrh]` - W parameter weight matrix for backward update, reset, and hidden gates\n\n`RB[zrh]` - R recurrence weight matrix for backward update, reset, and hidden gates\n\n`WBb[zrh]` - W bias vectors for backward update, reset, and hidden gates\n\n`RBb[zrh]` - R bias vectors for backward update, reset, and hidden gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n  Relu(x)                - max(0, x)\n\n  Tanh(x)                - (1 - e^{-2x})/(1 + e^{-2x})\n\n  Sigmoid(x)             - 1/(1 + e^{-x})\n\n  (NOTE: Below are optional)\n\n  Affine(x)              - alpha*x + beta\n\n  LeakyRelu(x)           - x if x >= 0 else alpha * x\n\n  ThresholdedRelu(x)     - x if x >= alpha else 0\n\n  ScaledTanh(x)          - alpha*Tanh(beta*x)\n\n  HardSigmoid(x)         - min(max(alpha*x + beta, 0), 1)\n\n  Elu(x)                 - x if x >= 0 else alpha*(e^x - 1)\n\n  Softsign(x)            - x/(1 + |x|)\n\n  Softplus(x)            - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh):\n\n  - zt = f(Xt*(Wz^T) + Ht-1*(Rz^T) + Wbz + Rbz)\n\n  - rt = f(Xt*(Wr^T) + Ht-1*(Rr^T) + Wbr + Rbr)\n\n  - ht = g(Xt*(Wh^T) + (rt (.) Ht-1)*(Rh^T) + Rbh + Wbh) # default, when linear_before_reset = 0\n\n  - ht = g(Xt*(Wh^T) + (rt (.) (Ht-1*(Rh^T) + Rbh)) + Wbh) # when linear_before_reset != 0\n\n  - Ht = (1 - zt) (.) ht + zt (.) Ht-1\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "data"
+input: "indices"
+output: "output"
+name: "Gather"
+op_type: "Gather"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nGiven `data` tensor of rank r >= 1, and `indices` tensor of rank q, gather\nentries of the axis dimension of `data` (by default outer-most one as axis=0) indexed by `indices`, and concatenates\nthem in an output tensor of rank q + (r - 1).\n\naxis = 0 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[k , j_{0}, ..., j_{r-2}]\n\n```\n  data = [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ]\n  indices = [\n      [0, 1],\n      [1, 2],\n  ]\n  output = [\n      [\n          [1.0, 1.2],\n          [2.3, 3.4],\n      ],\n      [\n          [2.3, 3.4],\n          [4.5, 5.7],\n      ],\n  ]\n```\naxis = 1 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[j_{0}, k, j_{1}, ..., j_{r-2}]\n\n```\n  data = [\n      [1.0, 1.2, 1.9],\n      [2.3, 3.4, 3.9],\n      [4.5, 5.7, 5.9],\n  ]\n  indices = [\n      [0, 2],\n  ]\n  axis = 1,\n  output = [\n      [\n          [1.0, 1.9],\n          [2.3, 3.9],\n          [4.5, 5.9],\n      ],\n  ]\n```\n"
+--
+input: "data"
+input: "indices"
+output: "output"
+name: "GatherElements"
+op_type: "GatherElements"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\n\nGatherElements takes two inputs `data` and `indices` of the same rank r >= 1\nand an optional attribute `axis` that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). It is an indexing operation\nthat produces its output by indexing into the input data tensor at index\npositions determined by elements of the `indices` tensor.\nIts output shape is the same as the shape of `indices` and consists of one value\n(gathered from the `data`) for each element in `indices`.\n\nFor instance, in the 3-D case (r = 3), the output produced is determined\nby the following equations: \n```\n  out[i][j][k] = input[index[i][j][k]][j][k] if axis = 0,\n  out[i][j][k] = input[i][index[i][j][k]][k] if axis = 1,\n  out[i][j][k] = input[i][j][index[i][j][k]] if axis = 2,\n```\n\nThis operator is also the inverse of ScatterElements. It is similar to Torch\'s gather operation.\n\nExample 1:\n```\n  data = [\n      [1, 2],\n      [3, 4],\n  ]\n  indices = [\n      [0, 0],\n      [1, 0],\n  ]\n  axis = 1\n  output = [\n      [\n        [1, 1],\n        [4, 3],\n      ],\n  ]\n```\nExample 2:\n```\n  data = [\n      [1, 2, 3],\n      [4, 5, 6],\n      [7, 8, 9],\n  ]\n  indices = [\n      [1, 2, 0],\n      [2, 0, 0],\n  ]\n  axis = 0\n  output = [\n      [\n        [4, 8, 3],\n        [7, 2, 3],\n      ],\n  ]\n```\n"
+--
+input: "data"
+input: "indices"
+output: "output"
+name: "GatherND"
+op_type: "GatherND"
+attribute {
+  name: "batch_dims"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nGiven `data` tensor of rank `r` >= 1, `indices` tensor of rank `q` >= 1, and `batch_dims` integer `b`, this operator gathers \nslices of `data` into an output tensor of rank `q + r - indices_shape[-1] - 1 - b`.\n\n`indices` is an q-dimensional integer tensor, best thought of as a `(q-1)`-dimensional tensor of index-tuples into `data`, \nwhere each element defines a slice of `data`\n\n`batch_dims` (denoted as `b`) is an integer indicating the number of batch dimensions, i.e the leading `b` number of dimensions of \n`data` tensor and `indices` are representing the batches, and the gather starts from the `b+1` dimension. \n\nSome salient points about the inputs\' rank and shape:\n \n1) r >= 1 and q >= 1 are to be honored. There is no dependency condition to be met between ranks `r` and `q`\n\n2) The first `b` dimensions of the shape of `indices` tensor and `data` tensor must be equal.\n\n3) b < min(q, r) is to be honored.\n\n4) The `indices_shape[-1]` should have a value between 1 (inclusive) and rank `r-b` (inclusive) \n\n5) All values in `indices` are expected to be within bounds [-s, s-1] along axis of size `s` (i.e.) `-data_shape[i] <= indices[...,i] <= data_shape[i] - 1`.\n   It is an error if any of the index values are out of bounds.\n\nThe output is computed as follows:\n\nThe output tensor is obtained by mapping each index-tuple in the `indices` tensor to the corresponding slice of the input `data`.\n \n1) If `indices_shape[-1] > r-b` => error condition\n\n2) If `indices_shape[-1] == r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensors\n   containing 1-D tensors of dimension `r-b`, where `N` is an integer equals to the product of 1 and all the elements in the batch dimensions \n   of the indices_shape. Let us think of each such `r-b` ranked tensor as `indices_slice`. Each *scalar value* corresponding to `data[0:b-1,indices_slice]` \n   is filled into the corresponding location of the `(q-b-1)`-dimensional tensor to form the `output` tensor (Example 1 below)\n\n3) If `indices_shape[-1] < r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensor\n   containing 1-D tensors of dimension `< r-b`. Let us think of each such tensors as `indices_slice`. Each *tensor slice* corresponding \n   to `data[0:b-1, indices_slice , :]` is filled into the corresponding location of the `(q-b-1)`-dimensional tensor \n   to form the `output` tensor (Examples 2, 3, 4 and 5 below)\n\nThis operator is the inverse of `ScatterND`.\n\n`Example 1`\n\n  batch_dims = 0\n\n  data    = [[0,1],[2,3]]   # data_shape = [2, 2]\n\n  indices = [[0,0],[1,1]]   # indices_shape = [2, 2]\n\n  output  = [0,3]           # output_shape = [2]\n\n`Example 2`\n\n  batch_dims = 0\n\n  data    = [[0,1],[2,3]]  # data_shape = [2, 2]\n\n  indices = [[1],[0]]      # indices_shape = [2, 1]\n\n  output  = [[2,3],[0,1]]  # output_shape = [2, 2]\n\n`Example 3`\n\n  batch_dims = 0\n\n  data    = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n  indices = [[0,1],[1,0]]                 # indices_shape = [2, 2]\n\n  output  = [[2,3],[4,5]]                 # output_shape = [2, 2]   \n\n`Example 4`\n\n  batch_dims = 0\n\n  data    = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n  indices = [[[0,1]],[[1,0]]]             # indices_shape = [2, 1, 2]\n\n  output  = [[[2,3]],[[4,5]]]             # output_shape = [2, 1, 2] \n\n`Example 5`\n\n  batch_dims = 1\n\n  data    = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n  indices = [[1],[0]]             # indices_shape = [2, 1]\n\n  output  = [[2,3],[4,5]]             # output_shape = [2, 2] \n\n\n"
+--
+input: "A"
+input: "B"
+input: "C"
+output: "Y"
+name: "Gemm"
+op_type: "Gemm"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "transA"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "transB"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "C-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "General Matrix multiplication:\nhttps://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3\n\nA\' = transpose(A) if transA else A\n\nB\' = transpose(B) if transB else B\n\nCompute Y = alpha * A\' * B\' + beta * C, where input tensor A has shape (M, K) or (K, M),\ninput tensor B has shape (K, N) or (N, K), input tensor C is broadcastable to shape (M, N),\nand output tensor Y has shape (M, N). A will be transposed before doing the\ncomputation if attribute transA is non-zero, same for B and transB.\nThis operator supports **unidirectional broadcasting** (tensor C should be unidirectional broadcastable to tensor A * B); for more details please check [the doc](Broadcasting.md).\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "X"
+output: "Y"
+name: "GlobalAveragePool"
+op_type: "GlobalAveragePool"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n GlobalAveragePool consumes an input tensor X and applies average pooling across\n the values in the same channel. This is equivalent to AveragePool with kernel size\n equal to the spatial dimension of input tensor."
+--
+input: "X"
+output: "Y"
+name: "GlobalLpPool"
+op_type: "GlobalLpPool"
+attribute {
+  name: "p"
+  i: 2
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n GlobalLpPool consumes an input tensor X and applies lp pool pooling across\n the values in the same channel. This is equivalent to LpPool with kernel size\n equal to the spatial dimension of input tensor."
+--
+input: "X"
+output: "Y"
+name: "GlobalMaxPool"
+op_type: "GlobalMaxPool"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n GlobalMaxPool consumes an input tensor X and applies max pooling across\n the values in the same channel. This is equivalent to MaxPool with kernel size\n equal to the spatial dimension of input tensor."
+--
+input: "Inputs"
+output: "Outputs"
+name: "Gradient"
+op_type: "Gradient"
+attribute {
+  name: "xs"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "y"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "zs"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "Inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGradient operator computes the partial derivatives of a specific tensor w.r.t.\nsome other tensors. This operator is widely used in gradient-based training\nalgorithms. To illustrate its use, let\'s consider a computation graph,\n\n```\nX -----.\n       |\n       v\nW --> Conv --> H --> Gemm --> Y\n                      ^\n                      |\n                      Z\n```\n\n, where W and Z are trainable tensors. Note that operators\' attributes are\nomitted for the sake of simplicity. Let dY/dW (dY/dZ) be the gradient of\nY with respect to W (Z). The user can compute gradient by inserting Gradient\noperator to form another graph shown below.\n\n```\nW --> Conv --> H --> Gemm --> Y\n|      ^              ^\n|      |              |\n|      X              Z\n|      |              |\n|      |   .----------\'\n|      |   |  (W/Z/X is the 1st/2nd/3rd input of Gradient as shown in\n|      |   |   \"xs\" followed by \"zs\")\n|      v   v\n\'---> Gradient(xs=[\"W\", \"Z\"], zs=[\"X\"], y=\"Y\")\n       |   |\n       |   \'-----------------------------------> dY/dW (1st output of Gradient)\n       |\n       \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nBy definition, the tensor \"y\" is a function of independent variables in \"xs\"\nand \"zs\". Since we only compute the gradient of \"y\" w.r.t. the differentiable\nvariables in \"xs\", this Gradient only outputs dY/dW and dY/dZ. Note that \"H\"\ncannot appear in \"xs\" and \"zs\". The reason is that \"H\" can be determined by\ntensors \"W\" and \"X\" and therefore \"H\" is not an independent variable.\n\nAll outputs are optional. If needed, for example, user can assign an empty\nstring to the 1st output name of that Gradient to skip the generation of dY/dW.\nNote that the concept of optional outputs can also be found in ONNX\'s RNN, GRU,\nand LSTM.\n\nGradient operator can compute derivative against intermediate tensors. For\nexample, the gradient of Y with respect to H can be done via\n\n```\nW --> Conv --> H --> Gemm --> Y\n       ^       |      ^\n       |       |      |\n       X       |      Z\n       .-------\'      |\n       |   .----------\'\n       |   | (H/Z is the 1st/2nd input of Gradient as shown in \"xs\")\n       v   v\n      Gradient(xs=[\"H\", \"Z\"], y=\"Y\")\n       |   |\n       |   \'-----------------------------------> dY/dH (1st output of Gradient)\n       |\n       \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nIt is possible to represent high-order differentiation using Gradient operators.\nFor example, given the following linear model:\n\n```\nW --> Gemm --> Y --> Loss --> O\n       ^              ^\n       |              |\n       X              L\n```\n\nTo compute the 2nd order derivative of O with respect to W (denoted by\nd^2O/dW^2), one can do\n\n```\nW --> Gemm --> Y --> Loss --> O\n|      ^              ^\n|      |              |\n|      X .------------L\n|      | |            |\n|      | |            v\n+------+-+> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"O\") ---> dO/dX (1st output of Gradient)\n|      | |    |\n|      | |    \'---> dO/dW (2nd output of Gradient)\n|      v v\n\'---> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"dO/dW\") ---> d(dO/dW)dX (1st output of\n       |                                                  Gradient)\n       |\n       |\n       \'---> d^2O/dW^2 (2nd output of Gradient)\n```\n\nThe tensors named in attributes \"xs\", \"zs\", and \"y\" define the differentiated\ncomputation graph, and the inputs to Gradient node define the values at\nwhich the gradient is computed. We can feed different tensors to the identified\ngraph. For example, one can compute the gradient of Y with respect to H at \na specific value of H, H_1, by providing that value as an input to the Gradient\nnode.\n\n```\nW --> Conv --> H --> Gemm --> Y\n       ^              ^\n       |              |\n       X              Z\n\n          Z_1 (2nd input of Gradient)\n           |\n           v\nH_1 --> Gradient(xs=[\"H\", \"Z\"], y=\"Y\") ---> dY/dH when H = H_1 and Y = Y_1.\n           |\n           \'------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nWhen the inputs of Gradient are the tensors named in \"xs\" and \"zs\", the\ncomputation can be optimized. More specifically, intermediate variables in\nforward pass can be reused if the gradient is computed via reverse-mode\nauto-differentiation.\n\n"
+--
+input: "Inputs"
+output: "Outputs"
+name: "GraphCall"
+op_type: "GraphCall"
+attribute {
+  name: "graph_name"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "Inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe GraphCall operator invokes a graph inside TrainingInfoProto\'s\nalgorithm field. The GraphCall inputs and outputs are bound to those of\ninvoked graph by position. If a graph input has an initializer, that input\nis considered optional. All graph outputs are optional.\n\nBelow Python syntax is used for describing dictionary and list.\n\nAssume that ModelProto\'s graph field has\n- name: \"MyInferenceGraph\"\n- input: [\"X\", \"W\", \"Z\"]\n- initializer: [W]\n- output: [\"Y\"]\n\nas visualized below for inference.\n\n```\nX -----.\n       |\n       v\nW --> Conv --> H --> Gemm --> Y\n                      ^\n                      |\n                      Z\n```\n\nAssume that the training algorithm contains\n\n- inputs: [\"X_1\", \"Z_1\", \"C\"]\n- initializer: [T]\n- outputs: [\"W_new\"]\n\nwith a dictionary\n\n- update_binding: {\"W\": \"W_new\", \"T\": \"T_new\"}\n\nInside the training algorithm graph, one can invoke the inference\ngraph via adding a GraphCall node with\n\n- inputs: [\"X_1\", \"W\", Z_1\"]\n- outputs: [\"Y_1\"]\n- an attribute graph_name=\"MyInferenceGraph\",\n\nThe initializers, \"W\" and \"T\" in this case, in update_binding\nare considered globally-visible and mutable variables, which\ncan be used as inputs of operators in the training graph.\n\nAn example training algorithm graph may look like\n\n```\n.-------- W (a global and mutable variable from\n|         |  the inference graph)\n|         |\n|   .-----\'-----------.\n|   |                 |\n|   |                 v\n|   | .-- X_1 --> GraphCall(graph_name=\"MyInferenceGraph\")\n|   | |            |  |\n|   | |            |  |\n|   | |   Z_1 -----\'  |\n|   | |    |          V\n|   | |    |         Y_1 ---> Loss ---> O\n|   | |    |                    ^\n|   | |    |                    |\n|   | `--. |                    C\n|   |    | |                    |\n|   |    | |   .----------------\'\n|   |    | |   |\n|   |    v v   v\n|   `--> Gradient(xs=[\"W\"], zs=[\"X_1\", \"Z_1\", \"C\"], y=\"O\")\n|        |\n|        v\n|      dO_dW (gradient of W)      1 (a scalar one)\n|        |                        |\n|        V                        v\n|       Div <--- T ------------> Add ---> T_new\n|        |    (T is the number of training iterations.\n|        |     T is also globally visible and mutable.)\n|        v\n`-----> Sub ----> W_new\n```\n\nwhere Loss is a dummy node which computes the minimized objective function.\n\nThe variable \"W\" is an optional input in the called graph.\nIf the user omits it, the input list of GraphCall becomes [\"X_1\", \"\", \"Z_1\"].\nIn this case, from the view of computation graph, the Conv operator invoked by\nGraphCall\'s may be still connected the global \"W\" variable and therefore the\nstructure of the computation graph is unchanged.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Greater"
+op_type: "Greater"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `greater` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "GreaterOrEqual"
+op_type: "GreaterOrEqual"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `greater_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+name: "HardSigmoid"
+op_type: "HardSigmoid"
+attribute {
+  name: "alpha"
+  f: 0.2
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 0.5
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nHardSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the HardSigmoid function, y = max(0, min(1, alpha * x + beta)),\nis applied to the tensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Hardmax"
+op_type: "Hardmax"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe operator computes the hardmax (1 for the first maximum value, and 0 for all others) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the hardmax values of the corresponding input.\n"
+--
+input: "input"
+output: "output"
+name: "Identity"
+op_type: "Identity"
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "Identity operator"
+--
+input: "cond"
+output: "outputs"
+name: "If"
+op_type: "If"
+attribute {
+  name: "else_branch"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "then_branch"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "cond-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "If conditional"
+--
+input: "X"
+output: "Y"
+name: "Imputer"
+op_type: "Imputer"
+attribute {
+  name: "imputed_value_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "imputed_value_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "replaced_value_float"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "replaced_value_int64"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Replaces inputs that equal one value with another, leaving all other elements alone.
        \n    This operator is typically used to replace missing values in situations where they have a canonical\n    representation, such as -1, 0, NaN, or some extreme value.
        \n    One and only one of imputed_value_floats or imputed_value_int64s should be defined -- floats if the input tensor\n    holds floats, integers if the input tensor holds integers. The imputed values must all fit within the\n    width of the tensor element type. One and only one of the replaced_value_float or replaced_value_int64 should be defined,\n    which one depends on whether floats or integers are being processed.
        \n    The imputed_value attribute length can be 1 element, or it can have one element per input feature.
        In other words, if the input tensor has the shape [*,F], then the length of the attribute array may be 1 or F. If it is 1, then it is broadcast along the last dimension and applied to each feature.\n"
+--
+input: "input"
+input: "scale"
+input: "B"
+output: "output"
+name: "InstanceNormalization"
+op_type: "InstanceNormalization"
+attribute {
+  name: "epsilon"
+  f: 1e-05
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "scale-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCarries out instance normalization as described in the paper\nhttps://arxiv.org/abs/1607.08022.\n\ny = scale * (x - mean) / sqrt(variance + epsilon) + B,\nwhere mean and variance are computed per instance per channel.\n\n"
+--
+input: "X"
+output: "Y"
+name: "IsInf"
+op_type: "IsInf"
+attribute {
+  name: "detect_negative"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "detect_positive"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "Map infinity to true and other values to false."
+--
+input: "X"
+output: "Y"
+name: "IsNaN"
+op_type: "IsNaN"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "Returns which elements of the input are NaN."
+--
+input: "X"
+output: "Y"
+name: "LRN"
+op_type: "LRN"
+attribute {
+  name: "alpha"
+  f: 0.0001
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 0.75
+  type: FLOAT
+}
+attribute {
+  name: "bias"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nLocal Response Normalization proposed in the [AlexNet paper](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf).\nIt normalizes over local input regions.\nThe local region is defined across the channels. For an element X[n, c, d1, ..., dk] in a tensor\nof shape (N x C x D1 x D2, ..., Dk), its region is\n{X[n, i, d1, ..., dk] | max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2))}.\n\nsquare_sum[n, c, d1, ..., dk] = sum(X[n, i, d1, ..., dk] ^ 2),\nwhere max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2)).\n\nY[n, c, d1, ..., dk] = X[n, c, d1, ..., dk] / (bias + alpha / size * square_sum[n, c, d1, ..., dk] ) ^ beta\n"
+--
+input: "X"
+input: "W"
+input: "R"
+input: "B"
+input: "sequence_lens"
+input: "initial_h"
+input: "initial_c"
+input: "P"
+output: "Y"
+output: "Y_h"
+output: "Y_c"
+name: "LSTM"
+op_type: "LSTM"
+attribute {
+  name: "activation_alpha"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activation_beta"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activations"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "clip"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "direction"
+  s: "forward"
+  type: STRING
+}
+attribute {
+  name: "hidden_size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input_forget"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "initial_h-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "initial_c-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "P-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nComputes an one-layer LSTM. This operator is usually supported via some\ncustom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`o` - output gate\n\n`f` - forget gate\n\n`c` - cell gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[iofc]` - W parameter weight matrix for input, output, forget, and cell gates\n\n`R[iofc]` - R recurrence weight matrix for input, output, forget, and cell gates\n\n`Wb[iofc]` - W bias vectors for input, output, forget, and cell gates\n\n`Rb[iofc]` - R bias vectors for input, output, forget, and cell gates\n\n`P[iof]`  - P peephole weight vector for input, output, and forget gates\n\n`WB[iofc]` - W parameter weight matrix for backward input, output, forget, and cell gates\n\n`RB[iofc]` - R recurrence weight matrix for backward input, output, forget, and cell gates\n\n`WBb[iofc]` - W bias vectors for backward input, output, forget, and cell gates\n\n`RBb[iofc]` - R bias vectors for backward input, output, forget, and cell gates\n\n`PB[iof]`  - P peephole weight vector for backward input, output, and forget gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n  Relu(x)                - max(0, x)\n\n  Tanh(x)                - (1 - e^{-2x})/(1 + e^{-2x})\n\n  Sigmoid(x)             - 1/(1 + e^{-x})\n\n  (NOTE: Below are optional)\n\n  Affine(x)              - alpha*x + beta\n\n  LeakyRelu(x)           - x if x >= 0 else alpha * x\n\n  ThresholdedRelu(x)     - x if x >= alpha else 0\n\n  ScaledTanh(x)          - alpha*Tanh(beta*x)\n\n  HardSigmoid(x)         - min(max(alpha*x + beta, 0), 1)\n\n  Elu(x)                 - x if x >= 0 else alpha*(e^x - 1)\n\n  Softsign(x)            - x/(1 + |x|)\n\n  Softplus(x)            - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh, h=Tanh):\n\n  - it = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Pi (.) Ct-1 + Wbi + Rbi)\n\n  - ft = f(Xt*(Wf^T) + Ht-1*(Rf^T) + Pf (.) Ct-1 + Wbf + Rbf)\n\n  - ct = g(Xt*(Wc^T) + Ht-1*(Rc^T) + Wbc + Rbc)\n\n  - Ct = ft (.) Ct-1 + it (.) ct\n\n  - ot = f(Xt*(Wo^T) + Ht-1*(Ro^T) + Po (.) Ct + Wbo + Rbo)\n\n  - Ht = ot (.) h(Ct)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "X"
+output: "Y"
+name: "LabelEncoder"
+op_type: "LabelEncoder"
+attribute {
+  name: "default_float"
+  f: -0.0
+  type: FLOAT
+}
+attribute {
+  name: "default_int64"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "default_string"
+  s: "_Unused"
+  type: STRING
+}
+attribute {
+  name: "keys_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "keys_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keys_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "values_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "values_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "values_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Maps each element in the input tensor to another value.
        \n    The mapping is determined by the two parallel attributes, \'keys_*\' and\n    \'values_*\' attribute. The i-th value in the specified \'keys_*\' attribute\n    would be mapped to the i-th value in the specified \'values_*\' attribute. It\n    implies that input\'s element type and the element type of the specified\n    \'keys_*\' should be identical while the output type is identical to the\n    specified \'values_*\' attribute. If an input element can not be found in the\n    specified \'keys_*\' attribute, the \'default_*\' that matches the specified\n    \'values_*\' attribute may be used as its output value.
        \n    Let\'s consider an example which maps a string tensor to an integer tensor.\n    Assume and \'keys_strings\' is [\"Amy\", \"Sally\"], \'values_int64s\' is [5, 6],\n    and \'default_int64\' is \'-1\'.  The input [\"Dori\", \"Amy\", \"Amy\", \"Sally\",\n    \"Sally\"] would be mapped to [-1, 5, 5, 6, 6].
        \n    Since this operator is an one-to-one mapping, its input and output shapes\n    are the same. Notice that only one of \'keys_*\'/\'values_*\' can be set.
        \n    For key look-up, bit-wise comparison is used so even a float NaN can be\n    mapped to a value in \'values_*\' attribute.
        \n"
+--
+input: "X"
+output: "Y"
+name: "LeakyRelu"
+op_type: "LeakyRelu"
+attribute {
+  name: "alpha"
+  f: 0.01
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nLeakyRelu takes input data (Tensor) and an argument alpha, and produces one\noutput data (Tensor) where the function `f(x) = alpha * x for x < 0`,\n`f(x) = x for x >= 0`, is applied to the data tensor elementwise.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Less"
+op_type: "Less"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `less` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "LessOrEqual"
+op_type: "LessOrEqual"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `less_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+output: "Z"
+name: "LinearClassifier"
+op_type: "LinearClassifier"
+attribute {
+  name: "classlabels_ints"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "intercepts"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "multi_class"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Linear classifier\n"
+--
+input: "X"
+output: "Y"
+name: "LinearRegressor"
+op_type: "LinearRegressor"
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "intercepts"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "targets"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Generalized linear regression evaluation.
        \n    If targets is set to 1 (default) then univariate regression is performed.
        \n    If targets is set to M then M sets of coefficients must be passed in as a sequence\n    and M results will be output for each input n in N.
        \n    The coefficients array is of length n, and the coefficients for each target are contiguous.\n    Intercepts are optional but if provided must match the number of targets.\n"
+--
+input: "input"
+output: "output"
+name: "Log"
+op_type: "Log"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the natural log of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "LogSoftmax"
+op_type: "LogSoftmax"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe operator computes the logsoftmax (log of softmax) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the logsoftmax values of the corresponding input.\n"
+--
+input: "M"
+input: "cond"
+input: "v_initial"
+output: "v_final_and_scan_outputs"
+name: "Loop"
+op_type: "Loop"
+attribute {
+  name: "body"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "M-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "cond-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "v_initial-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGeneric Looping construct. This loop has multiple termination conditions:\n\n1) Trip count. Iteration count specified at runtime. Set by\n   specifying the input M. Optional. Set to empty string to omit.\n   Note that a static trip count (specified at graph construction time) can be\n   specified by passing in a constant node for input M.\n2) Loop termination condition. This is an input to the op that determines\n   whether to run the first iteration and also a loop-carried dependency for\n   the body graph. The body graph must yield a value for the condition variable,\n   whether this input is provided or not.\n\nThis table summarizes the operating modes of this operator with equivalent\nC-style code:\n\n    Operator inputs defined as (max_trip_count, condition_var).\n\n    input (\"\", \"\"):\n        for (int i=0; ; ++i) {\n          cond = ... // Note this value is ignored, but is required in the body\n        }\n\n    input (\"\", cond) // Note this is analogous to a while loop\n        bool cond = ...;\n        for (int i=0; cond; ++i) {\n          cond = ...;\n        }\n\n    input (\"\", 1) // Note this is analogous to a do-while loop\n        bool cond = true\n        for (int i=0; cond; ++i) {\n          cond = ...;\n        }\n\n    input (trip_count, \"\") // Note this is analogous to a for loop\n        int trip_count = ...\n        for (int i=0; i < trip_count; ++i) {\n          cond = ...; // ignored\n        }\n\n    input (trip_count, cond)\n        int trip_count = ...;\n        bool cond = ...;\n        for (int i=0; i < trip_count && cond; ++i) {\n          cond = ...;\n        }\n\n\n*Sample usage - cond as well as trip count*\n\n    graph predict-net {\n      %a = Constant[value = ]()\n      %b = Constant[value = ]()\n      %keepgoing = Constant[value = ]()\n      %max_trip_count = Constant[value = ]()\n      %keepgoing_out, %b_out, %user_defined_vals = Loop[body = ](%max_trip_count, %keepgoing, %b)\n      return\n    }\n\n    graph body-net (\n      %i[INT32, scalar]           // iteration number\n      %keepgoing_in[BOOL, scalar] // incoming loop-termination-condition; not used\n      %b_in[INT32, scalar]        // incoming value of loop-carried-dependency b\n    ) {\n      %my_local = Add(%a, %b_in)\n      %b_out = Sub(%a, %b_in) // outgoing value of loop-carried-dependency b\n      %keepgoing_out = Greater(%my_local, %b_out) // outgoing loop-termination-condition\n      %user_defined_val = Add(%b_in, %b_in) // scan-output value to be accumulated\n      return %keepgoing_out, %b_out, %user_defined_val\n    }\n\n*Sample equivalent C code*\n\n    {\n      /* User-defined code (enclosing scope) */\n      int a = 3, b = 6;\n      bool keepgoing = true; // Analogous to input cond\n      /* End user-defined code */\n\n      /* Implicitly-defined code */\n      const int max_trip_count = 10; // Analogous to input M\n      int user_defined_vals[]; // Imagine this is resizable\n      /* End implicitly-defined code */\n      /* initialize loop-carried variables and scan-output variables */\n      bool keepgoing_out = keepgoing\n      int b_out = b\n\n      for (int i=0; i < max_trip_count && keepgoing_out; ++i) {\n        /* Implicitly-defined code: bind actual parameter values\n           to formal parameter variables of loop-body */\n        bool keepgoing_in = keepgoing_out; \n        bool b_in = b_out;\n\n        /* User-defined code (loop body) */\n        int my_local = a + b_in; // Reading value \"a\" from the enclosing scope is fine\n        b_out = a - b_in;\n        keepgoing_out = my_local > b_out; \n        user_defined_val = b_in + b_in; // b_in and b_out are different variables\n        /* End user-defined code */\n\n        /* Implicitly defined-code */\n        user_defined_vals[i] = user_defined_val // accumulate scan-output values\n      }\n      // int t = my_local; // Can\'t do this. my_local is not accessible here.\n\n      // The values below are bound to the output variables of the loop and therefore accessible\n      // b_out; user_defined_vals; keepgoing_out;\n    }\n\nThere are several things of note in this code snippet:\n\n1) Values from the enclosing scope (i.e. variable \"a\" here) are in scope and can\n   be referenced in the inputs of the loop.\n2) Any values computed in the loop body that needs to be used in a subsequent\n   iteration or after the loop are modelled using a pair of variables in the loop-body,\n   consisting of an input variable (eg., b_in) and an output variable (eg., b_out).\n   These are referred to as loop-carried dependences. The loop operation node\n   supplies the input value of the input variable for the first iteration, and\n   returns the output value of the output variable produced by the final\n   iteration.\n3) Scan_output variables are used to implicitly concatenate values computed across\n   all the iterations. In the above example, the value of user_defined_val computed\n   over all iterations are concatenated and returned as the value of user_defined_vals\n   after the loop.\n4) Values created in the body cannot be accessed in the enclosing scope,\n   except using the mechanism described above.\n\nNote that the semantics of this op support \"diagonal\" or \"wavefront\" execution.\n(See Step 3 here for an example:\nhttps://devblogs.nvidia.com/optimizing-recurrent-neural-networks-cudnn-5/).\nFrontends should emit multi-layer RNNs as a series of While operators (with\ntime being the inner looping dimension), with each successive layer consuming\nthe scan_outputs from the previous layer, possibly going through several\npoint-wise operators (e.g. dropout, residual connections, linear layer).\n"
+--
+input: "input"
+output: "output"
+name: "LpNormalization"
+op_type: "LpNormalization"
+attribute {
+  name: "axis"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "p"
+  i: 2
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nGiven a matrix, apply Lp-normalization along the provided axis.\n"
+--
+input: "X"
+output: "Y"
+name: "LpPool"
+op_type: "LpPool"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "p"
+  i: 2
+  type: INT
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n LpPool consumes an input tensor X and applies Lp pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n Lp pooling consisting of computing the Lp norm on all values of a subset\n of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing."
+--
+input: "A"
+input: "B"
+output: "Y"
+name: "MatMul"
+op_type: "MatMul"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html\n"
+--
+input: "A"
+input: "B"
+input: "a_zero_point"
+input: "b_zero_point"
+output: "Y"
+name: "MatMulInteger"
+op_type: "MatMulInteger"
+attribute {
+  name: "A-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "a_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "b_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nThe production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n"
+--
+input: "data_0"
+output: "max"
+name: "Max"
+op_type: "Max"
+attribute {
+  name: "data_0-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nElement-wise max of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+output: "Indices"
+name: "MaxPool"
+op_type: "MaxPool"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "ceil_mode"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "storage_order"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n MaxPool consumes an input tensor X and applies max pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n max pooling consisting of computing the max on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) - input_spatial_shape[i]\n ```\n The output of each pooling window is maximum number of elements exclude pad. \n "
+--
+input: "X"
+input: "rois"
+output: "Y"
+name: "MaxRoiPool"
+op_type: "MaxRoiPool"
+attribute {
+  name: "pooled_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "spatial_scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "rois-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n ROI max pool consumes an input tensor X and region of interests (RoIs) to\n apply max pooling across each RoI, to produce output 4-D tensor of shape\n (num_rois, channels, pooled_shape[0], pooled_shape[1])."
+--
+input: "X"
+input: "I"
+input: "output_shape"
+output: "output"
+name: "MaxUnpool"
+op_type: "MaxUnpool"
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "I-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "output_shape-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nMaxUnpool essentially computes the partial inverse of the MaxPool op.\n The input information to this op is typically the the output information from a MaxPool op. The first\n input tensor X is the tensor that needs to be unpooled, which is typically the pooled tensor (first output)\n from MaxPool. The second input tensor, I, contains the indices to the (locally maximal) elements corrsponding\n to the elements in the first input tensor X. Input tensor I is typically the second output of the MaxPool op.\n The third (optional) input is a tensor that specifies the output size of the unpooling operation.\n\nMaxUnpool is intended to do \'partial\' inverse of the MaxPool op. \'Partial\' because all the non-maximal\n values from the original input to MaxPool are set to zero in the output of the MaxUnpool op. Pooling\n the result of an unpooling operation should give back the original input to the unpooling op.\n\nMaxUnpool can produce the same output size for several input sizes, which makes unpooling op ambiguous.\n The third input argument, output_size, is meant to disambiguate the op and produce output tensor of\n known/predictable size.\n\nIn addition to the inputs, MaxUnpool takes three attributes, namely kernel_shape, strides, and pads,\n which define the exact unpooling op. The attributes typically have the same values as the corrsponding\n pooling op that the unpooling op is trying to invert.\n"
+--
+input: "data_0"
+output: "mean"
+name: "Mean"
+op_type: "Mean"
+attribute {
+  name: "data_0-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nElement-wise mean of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+name: "MeanVarianceNormalization"
+op_type: "MeanVarianceNormalization"
+attribute {
+  name: "axes"
+  ints: 0
+  ints: 2
+  ints: 3
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n      A MeanVarianceNormalization Function: Perform mean variance normalization\n      on the input tensor X using formula: 
         ``` (X-EX)/sqrt(E(X-EX)^2) ```\n"
+--
+input: "data_0"
+output: "min"
+name: "Min"
+op_type: "Min"
+attribute {
+  name: "data_0-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nElement-wise min of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Mod"
+op_type: "Mod"
+attribute {
+  name: "fmod"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n  Performs element-wise binary modulus (with Numpy-style broadcasting support). \n    The sign of the remainder is the same as that of the Divisor.\n  \n    Mod operator can also behave like C fmod() or numpy.fmod. In this case, the sign of the remainder however, will be the same as the Dividend \n    (in contrast to integer mod). To force a behavior like numpy.fmod() an \'fmod\' Attribute is provided.\n    This attribute is set to 0 by default causing the behavior to be like integer mod. \n    Setting this attribute to 1 causes the remainder to be calculated similar to that of numpy.fmod().\n\n    If the input type is floating point, then `fmod` attribute must be set to 1.\n  \n    In case of dividend being zero, the results will be platform dependent.\n\n  This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "R"
+input: "T"
+input: "inputs"
+output: "outputs"
+name: "Momentum"
+op_type: "Momentum"
+attribute {
+  name: "alpha"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "mode"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "norm_coefficient"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "T-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "inputs-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Compute one iteration of stochastic gradient update with momentum.\n    This operator can conduct the optimization of multiple tensor variables.\n\n    Let\'s define the behavior of this operator. As you can imagine, SG with momentum requires\n    several parameters:\n     \n     - The learning-rate \"R\".\n     - The update count \"T\". That is, the number of conducted training iterations. It should\n       be zero in the first training iteration.\n     - A L2-norm regularization coefficient \"norm_coefficient\".\n     - A decay coefficient of previous accumulated gradient (i.e., momentum) \"alpha\".\n     - The scaling coefficient of current gradient \"beta\".\n     - An attribute to choose either standard momentum or Nesterov\'s momentum \"mode\" should\n       be used.\n\n    For the sake of simplicity, assume that there is only one tensor (called \"X\") to be optimized.\n    Other necessary inputs are \"X\"\'s gradient (called \"G\") and \"X\"\'s momentum (called \"V\"). This\n    Momentum operator maps all these inputs to the new value of \"X\" (called \"X_new\") and its new\n    momentum (called \"V_new\").\n    \n    This operator supports two different momentum algorithms. Set the attribute \"mode\" to\n    \"nesterov\" if Nesterov\'s momentum is desired. Otherwise, set the attribute \"model\" to\n    \"standard\" to use standard momentum. Computation details are described subsequently.\n\n    Let \"+\", \"-\", \"*\", and \"/\" are all element-wise operations with numpy-style broadcasting.\n\n    Pseudo code for SG with standard momentum:\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n      // values of all elements in X.\n      G_regularized = norm_coefficient * X + G\n\n      // In the first training iteration, beta should always be 1.\n      beta_adjusted = T > 0 ? beta : 1\n\n      // Compute the current momentum based on previous momentum and the current gradient.\n      V_new = alpha * V + beta_adjusted * G_regularized\n\n      // Update X.\n      X_new = X - R * V_new\n\n    Pseudo code for SG with Nesterov\'s momentum:\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n      // values of all elements in X.\n      G_regularized = norm_coefficient * X + G;\n\n      // In the first training iteration, beta should always be 1.\n      beta_adjusted = T > 0 ? beta : 1\n\n      // Compute the current momentum based on previous momentum and the current gradient.\n      V_new = alpha * V + beta_adjusted * G_regularized;\n\n      // Compute final update direction and then update X.\n      X_new = X - R * (G_regularized + alpha * V_new)\n\n    If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\". The same\n    pseudo code would be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n    concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n    be concatenated too) and then our pseudo code becomes applicable.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Mul"
+op_type: "Mul"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary multiplication (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "input"
+output: "output"
+name: "Multinomial"
+op_type: "Multinomial"
+attribute {
+  name: "dtype"
+  i: 6
+  type: INT
+}
+attribute {
+  name: "sample_size"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor of samples from a multinomial distribution according to the probabilities\nof each of the possible outcomes.\n"
+--
+input: "X"
+output: "Y"
+name: "Neg"
+op_type: "Neg"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "float"
+  strings: "double"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  type: STRINGS
+}
+doc_string: "\nNeg takes one input data (Tensor) and produces one output data\n(Tensor) where each element flipped sign, y = -x, is applied to\nthe tensor elementwise.\n"
+--
+input: "input"
+input: "target"
+input: "weight"
+output: "loss"
+name: "NegativeLogLikelihoodLoss"
+op_type: "NegativeLogLikelihoodLoss"
+attribute {
+  name: "ignore_index"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "reduction"
+  s: "mean"
+  type: STRING
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "target-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "weight-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nA NegativeLogLikelihoodLoss operator computes (weighted) negative log likelihood loss.\nIts \"input\" tensor has the shape of (N, C, d1, d2, ..., dk) where k >= 0.\nThe \"input\" tensor contains log-probabilities for input[n, :, d_1, d_2,..., d_k] being in a class of [0, C).\nThe operator\'s \"target\" input tensor has the shape of (N, d1, d2, ..., dk). It encodes class labels (one of C classes)\nor it may contain a special value (indicated by an attribute ignore_index) for N x d1 x d2 x ... x dk samples.\nThe loss value for input[n, :, d_1, d_2,...d_k] being classified as class c = target[n][d_1][d_2]...[d_k] is computed as:\n\n    loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k].\n\nWhen an optional \"weight\" is provided, the sample loss is calculated as:\n\n    loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k] * weight[c].\n\nloss is zero for the case when target-value equals ignore_index.\n    \n    loss[n][d_1][d_2]...[d_k] = 0, when target[n][d_1][d_2]...[d_k] = ignore_index\n\nIf \"reduction\" attribute is set to \"none\", the operator\'s output will be the above loss with shape (N, d1, d2, ..., dk).\nIf \"reduction\" attribute is set to \"mean\" (the default attribute value), the output loss is (weight) averaged:\n\n    mean(loss), if \"weight\" is not provided,\n\nor if weight is provided,\n\n    sum(loss) / sum(weight[target[n][d_1][d_2]...[d_k]]]), for all samples.\n\nIf \"reduction\" attribute is set to \"sum\", the output is a scalar:\n    sum(loss).\n\nSee also https://pytorch.org/docs/stable/nn.html#torch.nn.NLLLoss.\n\nExample 1:\n\n    // negative log likelihood loss, \"none\" reduction\n    N, C, d1 = 2, 3, 2\n    input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n             [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n    target = [[2, 1], [0, 2]]\n\n    loss = np.zeros((N, d1))\n    for n in range(N):\n        for d_1 in range(d1):\n            c = target[n][d_1]\n            loss[n][d_1] = -input[n][c][d_1]\n\n    // print(loss)\n    // [[-3. -2.]\n    //  [-0. -2.]]\n\nExample 2:\n\n    // weighted negative log likelihood loss, sum reduction\n    N, C, d1 = 2, 3, 2\n    input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n            [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n    target = [[2, 1], [0, 2]]\n    weight = [0.2, 0.3, 0.1]\n    loss = np.zeros((N, d1))\n    for n in range(N):\n        for d_1 in range(d1):\n            c = target[n][d_1]\n            loss[n][d_1] = -input[n][c][d_1] * weight[c]\n\n    loss = np.sum(loss)\n    // print(loss)\n    // -1.1\n\nExample 3:\n\n    // weighted negative log likelihood loss, mean reduction\n    N, C, d1 = 2, 3, 2\n    input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n            [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n    target = [[2, 1], [0, 2]]\n    weight = [0.2, 0.3, 0.1]\n    loss = np.zeros((N, d1))\n    weight_total = 0\n    for n in range(N):\n        for d_1 in range(d1):\n            c = target[n][d_1]\n            loss[n][d_1] = -input[n][c][d_1] * weight[c]\n            weight_total = weight_total + weight[c]\n\n    loss = np.sum(loss) / weight_total\n    // print(loss)\n    // -1.57\n"
+--
+input: "boxes"
+input: "scores"
+input: "max_output_boxes_per_class"
+input: "iou_threshold"
+input: "score_threshold"
+output: "selected_indices"
+name: "NonMaxSuppression"
+op_type: "NonMaxSuppression"
+attribute {
+  name: "center_point_box"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "boxes-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "scores-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "max_output_boxes_per_class-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "iou_threshold-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "score_threshold-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nFilter out boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.\nBounding boxes with score less than score_threshold are removed. Bounding box format is indicated by attribute center_point_box.\nNote that this algorithm is agnostic to where the origin is in the coordinate system and more generally is invariant to\northogonal transformations and translations of the coordinate system; thus translating or reflections of the coordinate system\nresult in the same boxes being selected by the algorithm.\nThe selected_indices output is a set of integers indexing into the input collection of bounding boxes representing the selected boxes.\nThe bounding box coordinates corresponding to the selected indices can then be obtained using the Gather or GatherND operation.\n"
+--
+input: "X"
+output: "Y"
+name: "NonZero"
+op_type: "NonZero"
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n    Returns the indices of the elements that are non-zero\n    (in row-major order - by dimension).\n    NonZero behaves similar to numpy.nonzero:\n    https://docs.scipy.org/doc/numpy/reference/generated/numpy.nonzero.html\n"
+--
+input: "X"
+output: "Y"
+name: "Normalizer"
+op_type: "Normalizer"
+attribute {
+  name: "norm"
+  s: "MAX"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Normalize the input.  There are three normalization modes, which have the corresponding formulas,\n    defined using element-wise infix operators \'/\' and \'^\' and tensor-wide functions \'max\' and \'sum\':
        \n
        \n    Max: Y = X / max(X)
        \n    L1:  Y = X / sum(X)
        \n    L2:  Y = sqrt(X^2 / sum(X^2)}
        \n    In all modes, if the divisor is zero, Y == X.\n
        \n    For batches, that is, [N,C] tensors, normalization is done along the C axis. In other words, each row\n    of the batch is normalized independently.\n"
+--
+input: "X"
+output: "Y"
+name: "Not"
+op_type: "Not"
+attribute {
+  name: "X-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the negation of the input tensor element-wise.\n"
+--
+input: "indices"
+input: "depth"
+input: "values"
+output: "output"
+name: "OneHot"
+op_type: "OneHot"
+attribute {
+  name: "axis"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "indices-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "depth-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "values-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n    Produces a one-hot tensor based on inputs.\n    The locations represented by the index values in the \'indices\' input tensor will have \'on_value\'\n    and the other locations will have \'off_value\' in the output tensor, where \'on_value\' and \'off_value\'\n    are specified as part of required input argument \'values\', which is a two-element tensor of format\n    [off_value, on_value]. The rank of the output tensor will be one greater than the rank of the\n    input tensor. The additional dimension is for one-hot representation. The additional dimension will\n    be inserted at the position specified by \'axis\'. If \'axis\' is not specified then then additional\n    dimension will be inserted as the innermost dimension, i.e. axis=-1. The size of the additional\n    dimension is specified by required scalar input \'depth\'. The type of the output tensor is the same\n    as the type of the \'values\' input. Any entries in the \'indices\' input tensor with values outside\n    the range [-depth, depth-1] will result in one-hot representation with all \'off_value\' values in the\n    output tensor.\n\n    when axis = 0:\n    output[input[i, j, k], i, j, k] = 1 for all i, j, k and 0 otherwise.\n\n    when axis = -1:\n    output[i, j, k, input[i, j, k]] = 1 for all i, j, k and 0 otherwise.\n\n"
+--
+input: "X"
+output: "Y"
+name: "OneHotEncoder"
+op_type: "OneHotEncoder"
+attribute {
+  name: "cats_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "cats_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "zeros"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  strings: "double"
+  strings: "float"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\n    Replace each input element with an array of ones and zeros, where a single\n    one is placed at the index of the category that was passed in. The total category count \n    will determine the size of the extra dimension of the output array Y.
        \n    For example, if we pass a tensor with a single value of 4, and a category count of 8, \n    the output will be a tensor with ``[0,0,0,0,1,0,0,0]``.
        \n    This operator assumes every input feature is from the same set of categories.
        \n    If the input is a tensor of float, int32, or double, the data will be cast\n    to integers and the cats_int64s category list will be used for the lookups.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Or"
+op_type: "Or"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `or` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+input: "slope"
+output: "Y"
+name: "PRelu"
+op_type: "PRelu"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "slope-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPRelu takes input data (Tensor) and slope tensor as input, and produces one\noutput data (Tensor) where the function `f(x) = slope * x for x < 0`,\n`f(x) = x for x >= 0`., is applied to the data tensor elementwise.\nThis operator supports **unidirectional broadcasting** (tensor slope should be unidirectional broadcastable to input tensor X); for more details please check [the doc](Broadcasting.md)."
+--
+input: "data"
+input: "pads"
+input: "constant_value"
+output: "output"
+name: "Pad"
+op_type: "Pad"
+attribute {
+  name: "mode"
+  s: "constant"
+  type: STRING
+}
+attribute {
+  name: "data-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "pads-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "constant_value-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGiven a tensor containing the data to be padded (`data`), a tensor containing the number of start and end pad values for axis (`pads`), (optionally) a `mode`, and (optionally) `constant_value`, \na padded tensor (`output`) is generated.\n\nThe three supported `modes` are (similar to corresponding modes supported by `numpy.pad`):\n\n1) `constant`(default) - pads with a given constant value as specified by `constant_value` (which defaults to 0)\n\n2) `reflect` - pads with the reflection of the vector mirrored on the first and last values of the vector along each axis\n\n3) `edge` - pads with the edge values of array\n\n\nExample 1 (`constant` mode):\n  Insert 0 pads to the beginning of the second dimension.\n\n  data = \n  [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ] \n\n  pads = [0, 2, 0, 0]\n\n  mode = \'constant\'\n\n  constant_value = 0.0\n\n  output = \n  [\n      [\n          [0.0, 0.0, 1.0, 1.2],\n          [0.0, 0.0, 2.3, 3.4],\n          [0.0, 0.0, 4.5, 5.7],\n      ],\n  ]\n\n\nExample 2 (`reflect` mode):\n  data = \n  [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ] \n\n  pads = [0, 2, 0, 0]\n\n  mode = \'reflect\'\n\n  output = \n  [\n      [\n          [1.0, 1.2, 1.0, 1.2],\n          [2.3, 3.4, 2.3, 3.4],\n          [4.5, 5.7, 4.5, 5.7],\n      ],\n  ]\n\n\nExample 3 (`edge` mode):\n  data = \n  [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ] \n\n  pads = [0, 2, 0, 0]\n\n  mode = \'edge\'\n\n  output = \n  [\n      [\n          [1.0, 1.0, 1.0, 1.2],\n          [2.3, 2.3, 2.3, 3.4],\n          [4.5, 4.5, 4.5, 5.7],\n      ],\n  ]\n\n"
+--
+input: "X"
+input: "Y"
+output: "Z"
+name: "Pow"
+op_type: "Pow"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nPow takes input data (Tensor) and exponent Tensor, and\nproduces one output data (Tensor) where the function `f(x) = x^exponent`,\nis applied to the data tensor elementwise.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)."
+--
+input: "x"
+input: "x_scale"
+input: "x_zero_point"
+input: "w"
+input: "w_scale"
+input: "w_zero_point"
+input: "y_scale"
+input: "y_zero_point"
+input: "B"
+output: "y"
+name: "QLinearConv"
+op_type: "QLinearConv"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "x-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "x_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "x_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "w_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "y_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nThe convolution operator consumes a quantized input tensor, its scale and zero point,\na quantized filter, its scale and zero point, and output\'s scale and zero point,\nand computes the quantized output. Each scale and zero-point pair must have same shape.\nIt means they must be either scalars (per tensor) or 1-D tensors (per output channel).\nEach input or output and its related zero point must have same type.\nWhen bias is present it must be quantized using scale = input scale * weight scale and \nzero point as 0.\n"
+--
+input: "a"
+input: "a_scale"
+input: "a_zero_point"
+input: "b"
+input: "b_scale"
+input: "b_zero_point"
+input: "y_scale"
+input: "y_zero_point"
+output: "y"
+name: "QLinearMatMul"
+op_type: "QLinearMatMul"
+attribute {
+  name: "a-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "a_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "a_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "b-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "b_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "b_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "y_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nIt consumes two quantized input tensors, their scales and zero points, scale and zero point of output, and computes the quantized output.\nThe quantization formula is y = saturate((x / y_scale) + y_zero_point). For (x / y_scale), it is rounding to nearest ties to even.\nRefer to https://en.wikipedia.org/wiki/Rounding for details. Scale and zero point must have same shape.\nThey must be either scalar (per tensor) or 1-D tensor (per row for \'a\' and per column for \'b\'). If scale and zero point are 1-D tensor,\nthe number of elements of scale and zero point tensor of input \'a\' and output \'y\' should be equal to the number of rows of input \'a\',\nand the number of elements of scale and zero point tensor of input \'b\' should be equal to the number of columns of input \'b\'.\nProduction must never overflow, and accumulation may overflow if and only if in 32 bits.\n"
+--
+input: "x"
+input: "y_scale"
+input: "y_zero_point"
+output: "y"
+name: "QuantizeLinear"
+op_type: "QuantizeLinear"
+attribute {
+  name: "x-types"
+  strings: "int32"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe linear per-tensor/layer quantization operator. It consumes a high precision tensor, a scale, a zero point to compute the low precision / quantized tensor.\nThe quantization formula is y = saturate ((x / y_scale) + y_zero_point). For saturation, it saturates to [0, 255] if it\'s uint8, or [-128, 127] if it\'s int8.\nFor (x / y_scale), it\'s rounding to nearest ties to even. Refer to https://en.wikipedia.org/wiki/Rounding for details. \'y_zero_point\' and \'y\' must have same type.\n"
+--
+input: "X"
+input: "W"
+input: "R"
+input: "B"
+input: "sequence_lens"
+input: "initial_h"
+output: "Y"
+output: "Y_h"
+name: "RNN"
+op_type: "RNN"
+attribute {
+  name: "activation_alpha"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activation_beta"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activations"
+  strings: "Tanh"
+  strings: "Tanh"
+  type: STRINGS
+}
+attribute {
+  name: "clip"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "direction"
+  s: "forward"
+  type: STRING
+}
+attribute {
+  name: "hidden_size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "initial_h-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nComputes an one-layer simple RNN. This operator is usually supported\nvia some custom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`t` - time step (t-1 means previous time step)\n\n`Wi` - W parameter weight matrix for input gate\n\n`Ri` - R recurrence weight matrix for input gate\n\n`Wbi` - W parameter bias vector for input gate\n\n`Rbi` - R parameter bias vector for input gate\n\n`WBi` - W parameter weight matrix for backward input gate\n\n`RBi` - R recurrence weight matrix for backward input gate\n\n`WBbi` - WR bias vectors for backward input gate\n\n`RBbi` - RR bias vectors for backward input gate\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n  Relu(x)                - max(0, x)\n\n  Tanh(x)                - (1 - e^{-2x})/(1 + e^{-2x})\n\n  Sigmoid(x)             - 1/(1 + e^{-x})\n\n  (NOTE: Below are optional)\n\n  Affine(x)              - alpha*x + beta\n\n  LeakyRelu(x)           - x if x >= 0 else alpha * x\n\n  ThresholdedRelu(x)     - x if x >= alpha else 0\n\n  ScaledTanh(x)          - alpha*Tanh(beta*x)\n\n  HardSigmoid(x)         - min(max(alpha*x + beta, 0), 1)\n\n  Elu(x)                 - x if x >= 0 else alpha*(e^x - 1)\n\n  Softsign(x)            - x/(1 + |x|)\n\n  Softplus(x)            - log(1 + e^x)\n\nEquations (Default: f=Tanh):\n\n  - Ht = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Wbi + Rbi)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+output: "output"
+name: "RandomNormal"
+op_type: "RandomNormal"
+attribute {
+  name: "dtype"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "mean"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "shape"
+  s: ""
+  type: INTS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a normal distribution. The shape\nof the tensor is specified by the `shape` argument and the parameter of the normal distribution\nspecified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n"
+--
+input: "input"
+output: "output"
+name: "RandomNormalLike"
+op_type: "RandomNormalLike"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "mean"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a normal distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the normal distribution are specified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message, and be valid as an output type.\n"
+--
+output: "output"
+name: "RandomUniform"
+op_type: "RandomUniform"
+attribute {
+  name: "dtype"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "high"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "low"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "shape"
+  s: ""
+  type: INTS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution. The shape\nof the tensor is specified by the `shape` argument and the range by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n"
+--
+input: "input"
+output: "output"
+name: "RandomUniformLike"
+op_type: "RandomUniformLike"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "high"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "low"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the uniform distribution are specified by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n"
+--
+input: "start"
+input: "limit"
+input: "delta"
+output: "output"
+name: "Range"
+op_type: "Range"
+attribute {
+  name: "start-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "int16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "limit-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "int16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "delta-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "int16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor containing a sequence of numbers that begin at `start` and extends by increments of `delta`\nup to `limit` (exclusive).\n\nThe number of elements in the output of range is computed as below-\n\n`number_of_elements = max( ceil( (limit - start) / delta ) , 0 )`\n\nThe pseudocode determining the contents of the output is shown below-\n\n`for(int i=0; i) and produces one output data\n(Tensor) where the reciprocal is, y = 1/x, is applied to\nthe tensor elementwise.\n"
+--
+input: "data"
+output: "reduced"
+name: "ReduceL1"
+op_type: "ReduceL1"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the L1 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceL2"
+op_type: "ReduceL2"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the L2 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceLogSum"
+op_type: "ReduceLogSum"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the log sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceLogSumExp"
+op_type: "ReduceLogSumExp"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the log sum exponent of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceMax"
+op_type: "ReduceMax"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the max of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceMean"
+op_type: "ReduceMean"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the mean of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceMin"
+op_type: "ReduceMin"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the min of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceProd"
+op_type: "ReduceProd"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the product of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceSum"
+op_type: "ReduceSum"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceSumSquare"
+op_type: "ReduceSumSquare"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the sum square of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "X"
+output: "Y"
+name: "Relu"
+op_type: "Relu"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = max(0, x), is applied to\nthe tensor elementwise.\n"
+--
+input: "data"
+input: "shape"
+output: "reshaped"
+name: "Reshape"
+op_type: "Reshape"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "shape-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nReshape the input tensor similar to numpy.reshape.\nFirst input is the data tensor, second input is a shape tensor which specifies the output shape. It outputs the reshaped tensor.\nAt most one dimension of the new shape can be -1. In this case, the value is\ninferred from the size of the tensor and the remaining dimensions. A dimension\ncould also be 0, in which case the actual dimension value is unchanged (i.e. taken\nfrom the input tensor)."
+--
+input: "X"
+input: "roi"
+input: "scales"
+input: "sizes"
+output: "Y"
+name: "Resize"
+op_type: "Resize"
+attribute {
+  name: "coordinate_transformation_mode"
+  s: "half_pixel"
+  type: STRING
+}
+attribute {
+  name: "cubic_coeff_a"
+  f: -0.75
+  type: FLOAT
+}
+attribute {
+  name: "exclude_outside"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "extrapolation_value"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "mode"
+  s: "nearest"
+  type: STRING
+}
+attribute {
+  name: "nearest_mode"
+  s: "round_prefer_floor"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "roi-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "scales-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "sizes-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nResize the input tensor. In general, it calculates every value in the output tensor as a weighted average of neighborhood (a.k.a. sampling locations) in the input tensor.\nEach dimension value of the output tensor is:\n  output_dimension = floor(input_dimension * (roi_end - roi_start) * scale) if input \\\"sizes\\\" is not specified.\n"
+--
+input: "input"
+input: "sequence_lens"
+output: "Y"
+name: "ReverseSequence"
+op_type: "ReverseSequence"
+attribute {
+  name: "batch_axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "time_axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nReverse batch of sequences having different lengths specified by `sequence_lens`.\n\nFor each slice i iterating on batch axis, the operator reverses the first sequence_lens[i] elements on time axis,\nand copies elements whose index\'s beyond sequence_lens[i] to the output. So the output slice i contains reversed\nsequences on the first sequence_lens[i] elements, then have original values copied for the other elements.\n\nExample 1:\n  input = [[0.0, 4.0, 8.0,  12.0],\n           [1.0, 5.0, 9.0,  13.0],\n           [2.0, 6.0, 10.0, 14.0],\n           [3.0, 7.0, 11.0, 15.0]]\n  sequence_lens = [4, 3, 2, 1]\n  time_axis = 0\n  batch_axis = 1\n\n  output = [[3.0, 6.0, 9.0,  12.0],\n            [2.0, 5.0, 8.0,  13.0],\n            [1.0, 4.0, 10.0, 14.0],\n            [0.0, 7.0, 11.0, 15.0]]\n\nExample 2:\n  input = [[0.0,  1.0,  2.0,  3.0 ],\n           [4.0,  5.0,  6.0,  7.0 ],\n           [8.0,  9.0,  10.0, 11.0],\n           [12.0, 13.0, 14.0, 15.0]]\n  sequence_lens = [1, 2, 3, 4]\n  time_axis = 1\n  batch_axis = 0\n\n  output = [[0.0,  1.0,  2.0,  3.0 ],\n            [5.0,  4.0,  6.0,  7.0 ],\n            [10.0, 9.0,  8.0,  11.0],\n            [15.0, 14.0, 13.0, 12.0]]\n"
+--
+input: "X"
+input: "rois"
+input: "batch_indices"
+output: "Y"
+name: "RoiAlign"
+op_type: "RoiAlign"
+attribute {
+  name: "mode"
+  s: "avg"
+  type: STRING
+}
+attribute {
+  name: "output_height"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "output_width"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "sampling_ratio"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "spatial_scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "rois-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "batch_indices-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nRegion of Interest (RoI) align operation described in the\n[Mask R-CNN paper](https://arxiv.org/abs/1703.06870).\nRoiAlign consumes an input tensor X and region of interests (rois)\nto apply pooling across each RoI; it produces a 4-D tensor of shape\n(num_rois, C, output_height, output_width).\n\nRoiAlign is proposed to avoid the misalignment by removing\nquantizations while converting from original image into feature\nmap and from feature map into RoI feature; in each ROI bin,\nthe value of the sampled locations are computed directly\nthrough bilinear interpolation.\n"
+--
+input: "X"
+output: "Y"
+name: "Round"
+op_type: "Round"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nRound takes one input Tensor and rounds the values, element-wise, meaning\nit finds the nearest integer for each value.\nIn case of halfs, the rule is to round them to the nearest even integer.\nThe output tensor has the same shape and type as the input.\n\nExamples:\n```\nround([0.9]) = [1.0]\nround([2.5]) = [2.0]\nround([2.3]) = [2.0]\nround([1.5]) = [2.0]\nround([-4.5]) = [-4.0]\n```\n"
+--
+input: "X"
+output: "Y"
+output: "Z"
+name: "SVMClassifier"
+op_type: "SVMClassifier"
+attribute {
+  name: "classlabels_ints"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_params"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_type"
+  s: "LINEAR"
+  type: STRING
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "prob_a"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "prob_b"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "rho"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "support_vectors"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "vectors_per_class"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Support Vector Machine classifier\n"
+--
+input: "X"
+output: "Y"
+name: "SVMRegressor"
+op_type: "SVMRegressor"
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_params"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_type"
+  s: "LINEAR"
+  type: STRING
+}
+attribute {
+  name: "n_supports"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "one_class"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "rho"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "support_vectors"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Support Vector Machine regression prediction and one-class SVM anomaly detection.\n"
+--
+input: "X"
+output: "Y"
+name: "Scaler"
+op_type: "Scaler"
+attribute {
+  name: "offset"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "scale"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Rescale input data, for example to standardize features by removing the mean and scaling to unit variance.\n"
+--
+input: "initial_state_and_scan_inputs"
+output: "final_state_and_scan_outputs"
+name: "Scan"
+op_type: "Scan"
+attribute {
+  name: "body"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "num_scan_inputs"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "scan_input_axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "scan_input_directions"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "scan_output_axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "scan_output_directions"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "initial_state_and_scan_inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nScan can be used to iterate over one or more scan_input tensors,\nconstructing zero or more scan_output tensors. It combines ideas from general recurrences,\nfunctional programming constructs such as scan, fold, map, and zip and is intended to enable\ngeneralizations of RNN-like constructs for sequence-to-sequence processing.\nOther tensors (referred to as state_variables here) can be used to carry a state\nwhen iterating from one element to another (similar to hidden-state in RNNs, also referred\nto as loop-carried dependences in the context of loops).\nMany common usages involve a single scan_input tensor (where functionality\nsimilar to scan, fold and map can be obtained). When more than one scan_input is used,\na behavior similar to zip is obtained.\n\nThe attribute body must be a graph, specifying the computation to be performed in\nevery iteration. It takes as input the current values of the state_variables and\nthe current iterated element of the scan_inputs. It must return the (updated) values\nof the state_variables and zero or more scan_output_element tensors. The values of the\nscan_output_element tensors are concatenated over all the iterations to produce the\nscan_output values of the scan construct (similar to the concatenated intermediate\nhidden-state values of RNN-like constructs). All the output tensors (state_variables as\nwell as scan_output_element tensors) are required to have the same shape in each iteration\nof the loop (a restriction imposed to enable efficient memory allocation).\n\nNote that the iterated element passed to the body subgraph does not have a sequence\naxis. It will have a rank one less than the rank of the corresponding scan_input.\n\nThe scan operation returns the final values of the state_variables as well as the\nscan_outputs.\n\nThe optional attribute scan_input_directions specifies the direction (forward or backward)\nfor each scan input. If this attribute is omitted, all sequences are scanned in the forward\ndirection. A bidirectional scan may be performed by specifying the same tensor input twice\nin the scan_inputs, once with a forward direction, and once with a backward direction.\n\nThe scan_output of the operation is produced by concatenating the scan_output_element\nvalues produced by the body in each iteration.  The optional attribute scan_output_directions\nspecifies the direction in which scan_output is constructed (by appending or prepending the\nscan_output_element to scan_output in each iteration) for each scan_output. If this attribute\nis omitted, the scan_output_element is appended to the scan_output in each iteration.\n\nThe optional attribute scan_input_axes specifies the axis to be scanned for each scan_input.\nIf omitted, every scan_input will be scanned in axis 0. For example, if axis 0 is the\nbatch axis and axis 1 is the time axis (to be scanned), specify an axis value of 1.\nNote that scanning a non-zero axis may be less efficient than scanning axis zero.\n\nThe optional attribute scan_output_axes specifies the axis along which the scan_outputs\nare accumulated for each scan_output. For example, if axis 1 is the time axis (to be\nscanned) for both inputs and outputs, specify a scan_input axis and scan_output axis\nvalue of 1.\n\nNote that because of the ONNX restriction that only the last parameter of an operator can\nbe variadic, the initial-states and scan-inputs are listed together as one input parameter.\nSimilarly, the final-states and scan-outputs are listed together as one output parameter.\nThe attribute num_scan_inputs indicates the number M of scan-inputs.\n\nThe behavior of\n\n    Scan <\n        num_scan_inputs = m,\n        body = loop-body,\n        scan_input_axes = [axis_1, ..., axis_m]\n    > (init_1, ..., init_n, scan_1, ..., scan_m)\n\nis equivalent to the following pseudo-code:\n\n    // scan_i.shape[axis_i] denotes the (max) sequence-length of scan_i\n    // scan_i.shape[axis_i] is required to be equal to scan_j.shape[axis_j] for all i,j.\n    sequence_length = scan_1.shape[axis_1];\n\n    // initialize state-variables\n    st_1 = init_1; ... st_n = init_n;\n    // initialize scan-output variables: [] denotes an empty tensor\n    scan_out_1 = []; ...; scan_out_k = [];\n    // identify number of iterations:\n\n    // execute loop\n    for (int t = 0; t < sequence_length; ++t) {\n        // generate the scan-input elements: the notation T[t] indicates the sub-tensor\n        // of rank one less than T obtained by indexing T at position t along axis k.\n        si_1 = scan_1[t];\n        ... ;\n        si_m = scan_m[t];\n        // execute loop-body\n        st_1, ..., st_n, so_1, ..., so_k = loop-body(st_1, ..., st_n, si_1, ..., si_m)\n        // accumulate the scan-output elements\n        scan_out_1 = Concat(scan_out_1, so_1); ... ; scan_out_k = Concat(scan_out_k, so_k);\n    }\n\n    return st_1, ..., st_n, scan_out_1, ..., scan_out_k;\n\n*Sample usage: Encoding RNN using a Scan*\n\nThe following example shows how a simple RNN over an input tensor %X, with weight tensor %Wi,\nrecurrence weight tensor %Ri, bias tensors %Wbi and %Rbi, and initial hidden-state %H_0 can\nbe encoded as a ScanLoop. Note that the loop-body is a nested graph, and it directly computes\n%Wi, %Ri, %Wbi, and %Rbi (typically constants or initializers in the body graph). If these\nvalues are computed in the outer graph, they need to be passed in as extra state_variables.\n\n    graph rnn-encoding {\n      %H_0 = ... \n      %X = ...\n      %Y_h, %Y = Scan[body = , num_scan_inputs=1](%H_0, %X)\n      return %Y, %Y_h\n    }\n\n    graph rnn-cell-1 (\n      %H_tminus1[FLOAT, tensor]\n      %X_t[FLOAT, tensor]\n    ) {\n      %Wi = ...\n      %Ri = ...\n      %Wbi = ...\n      %Rbi = ...\n      %t1 = X_t * (Wi^T)\n      %t2 = H_tminus1*(Ri^T)\n      %t3 = Add(%t1, %t2)\n      %t4 = Add(%t3, %Wbi)\n      %t5 = Add(%t4, %Rbi)\n      %Ht = Tanh(%t5)\n      %Accumulate = Identity(%Ht)\n      return %Ht, %Accumulate\n    }\n\n"
+--
+input: "data"
+input: "indices"
+input: "updates"
+output: "output"
+name: "Scatter"
+op_type: "Scatter"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "updates-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThis operator is deprecated. Please use ScatterElements, which provides the same functionality.\n\nScatter takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n  output[indices[i][j]][j] = updates[i][j] if axis = 0, \n  output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n  data = [\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n  ]\n  indices = [\n      [1, 0, 2],\n      [0, 2, 1],\n  ]\n  updates = [\n      [1.0, 1.1, 1.2],\n      [2.0, 2.1, 2.2],\n  ]\n  output = [\n      [2.0, 1.1, 0.0]\n      [1.0, 0.0, 2.2]\n      [0.0, 2.1, 1.2]\n  ]\n```\nExample 2:\n```\n  data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n  indices = [[1, 3]]\n  updates = [[1.1, 2.1]]\n  axis = 1\n  output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n"
+--
+input: "data"
+input: "indices"
+input: "updates"
+output: "output"
+name: "ScatterElements"
+op_type: "ScatterElements"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "updates-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nScatterElements takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n  output[indices[i][j]][j] = updates[i][j] if axis = 0, \n  output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n  data = [\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n  ]\n  indices = [\n      [1, 0, 2],\n      [0, 2, 1],\n  ]\n  updates = [\n      [1.0, 1.1, 1.2],\n      [2.0, 2.1, 2.2],\n  ]\n  output = [\n      [2.0, 1.1, 0.0]\n      [1.0, 0.0, 2.2]\n      [0.0, 2.1, 1.2]\n  ]\n```\nExample 2:\n```\n  data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n  indices = [[1, 3]]\n  updates = [[1.1, 2.1]]\n  axis = 1\n  output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n"
+--
+input: "data"
+input: "indices"
+input: "updates"
+output: "output"
+name: "ScatterND"
+op_type: "ScatterND"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "updates-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nScatterND takes three inputs `data` tensor of rank r >= 1, `indices` tensor of rank q >= 1,\nand `updates` tensor of rank q + r - indices.shape[-1] - 1. The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value to values\nspecified by `updates` at specific index positions specified by `indices`. Its output shape\nis the same as the shape of `data`. Note that `indices` should not have duplicate entries.\nThat is, two or more `updates` for the same index-location is not supported.\n\n`indices` is an integer tensor. Let k denote indices.shape[-1], the last dimension in the shape of `indices`.\n `indices` is treated as a (q-1)-dimensional tensor of k-tuples, where each k-tuple is a partial-index into `data`.\nHence, k can be a value at most the rank of `data`. When k equals rank(data), each update entry specifies an\nupdate to a single element of the tensor. When k is less than rank(data) each update entry specifies an\nupdate to a slice of the tensor.\n\n`updates` is treated as a (q-1)-dimensional tensor of replacement-slice-values. Thus, the\nfirst (q-1) dimensions of updates.shape must match the first (q-1) dimensions of indices.shape.\nThe remaining dimensions of `updates` correspond to the dimensions of the\nreplacement-slice-values. Each replacement-slice-value is a (r-k) dimensional tensor,\ncorresponding to the trailing (r-k) dimensions of `data`.  Thus, the shape of `updates`\nmust equal indices.shape[0:q-1] ++ data.shape[k:r-1], where ++ denotes the concatenation\nof shapes.\n\nThe `output` is calculated via the following equation:\n\n    output = np.copy(data)\n    update_indices = indices.shape[:-1]\n    for idx in np.ndindex(update_indices):\n        output[indices[idx]] = updates[idx]\n\nThe order of iteration in the above loop is not specified.\nIn particular, indices should not have duplicate entries: that is, if idx1 != idx2, then indices[idx1] != indices[idx2].\nThis ensures that the output value does not depend on the iteration order.\n\nThis operator is the inverse of GatherND.\n\nExample 1:\n```\n  data    = [1, 2, 3, 4, 5, 6, 7, 8]\n  indices = [[4], [3], [1], [7]]\n  updates = [9, 10, 11, 12]\n  output  = [1, 11, 3, 10, 9, 6, 7, 12]\n```\n\nExample 2:\n```\n  data    = [[[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n             [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n             [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]],\n             [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n  indices = [[0], [2]]\n  updates = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n             [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]]]\n  output  = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n             [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n             [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]],\n             [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n```\n"
+--
+input: "X"
+output: "Y"
+name: "Selu"
+op_type: "Selu"
+attribute {
+  name: "alpha"
+  f: 1.6732632
+  type: FLOAT
+}
+attribute {
+  name: "gamma"
+  f: 1.050701
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSelu takes one input data (Tensor) and produces one output data\n(Tensor) where the scaled exponential linear unit function,\n`y = gamma * (alpha * e^x - alpha) for x <= 0`, `y = gamma * x for x > 0`,\nis applied to the tensor elementwise.\n"
+--
+input: "input_sequence"
+input: "position"
+output: "tensor"
+name: "SequenceAt"
+op_type: "SequenceAt"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+attribute {
+  name: "position-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nOutputs a tensor copy from the tensor at \'position\' in \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n"
+--
+input: "inputs"
+output: "output_sequence"
+name: "SequenceConstruct"
+op_type: "SequenceConstruct"
+attribute {
+  name: "inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nConstruct a tensor sequence containing \'inputs\' tensors.\nAll tensors in \'inputs\' must have the same data type.\n"
+--
+output: "output"
+name: "SequenceEmpty"
+op_type: "SequenceEmpty"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+doc_string: "\nConstruct an empty tensor sequence, with given data type.\n"
+--
+input: "input_sequence"
+input: "position"
+output: "output_sequence"
+name: "SequenceErase"
+op_type: "SequenceErase"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+attribute {
+  name: "position-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nOutputs a tensor sequence that removes the tensor at \'position\' from \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it erases the last tensor from \'input_sequence\'.\n"
+--
+input: "input_sequence"
+input: "tensor"
+input: "position"
+output: "output_sequence"
+name: "SequenceInsert"
+op_type: "SequenceInsert"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+attribute {
+  name: "tensor-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "position-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nOutputs a tensor sequence that inserts \'tensor\' into \'input_sequence\' at \'position\'.\n\'tensor\' must have the same data type as \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it inserts \'tensor\' to the back of \'input_sequence\'.\n"
+--
+input: "input_sequence"
+output: "length"
+name: "SequenceLength"
+op_type: "SequenceLength"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+doc_string: "\nProduces a scalar(tensor of empty shape) containing the number of tensors in \'input_sequence\'.\n"
+--
+input: "data"
+output: "shape"
+name: "Shape"
+op_type: "Shape"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nTakes a tensor as input and outputs an 1D int64 tensor containing the shape of the input tensor.\n"
+--
+input: "input"
+output: "output"
+name: "Shrink"
+op_type: "Shrink"
+attribute {
+  name: "bias"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "lambd"
+  f: 0.5
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nShrink takes one input data (Tensor) and produces one Tensor output,\nhaving same datatype and shape with input. It has two attributes, lambd and\nbias. The formula of this operator is: If x < -lambd, y = x + bias;\nIf x > lambd, y = x - bias; Otherwise, y = 0.\n"
+--
+input: "X"
+output: "Y"
+name: "Sigmoid"
+op_type: "Sigmoid"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the sigmoid function, y = 1 / (1 + exp(-x)), is applied to the\ntensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Sign"
+op_type: "Sign"
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nCalculate the sign of the given input tensor element-wise.\nIf input > 0, output 1. if input < 0, output -1. if input == 0, output 0.\n"
+--
+input: "input"
+output: "output"
+name: "Sin"
+op_type: "Sin"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the sine of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Sinh"
+op_type: "Sinh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic sine of the given input tensor element-wise.\n"
+--
+input: "data"
+output: "size"
+name: "Size"
+op_type: "Size"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nTakes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.\n"
+--
+input: "data"
+input: "starts"
+input: "ends"
+input: "axes"
+input: "steps"
+output: "output"
+name: "Slice"
+op_type: "Slice"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "starts-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "ends-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "axes-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "steps-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nProduces a slice of the input tensor along multiple axes. Similar to numpy:\nhttps://docs.scipy.org/doc/numpy/reference/arrays.indexing.html\nSlices uses `starts`, `ends`, `axes` and `steps` inputs to specify the start and end\ndimension and step for each axis in the list of axes, it uses this information to\nslice the input `data` tensor. If a negative value is passed for any of the\nstart or end indices, it represents number of elements before the end of that\ndimension. If the value passed to start or end is larger than the `n` (the\nnumber of elements in this dimension), it represents `n`. For slicing to the\nend of a dimension with unknown size, it is recommended to pass in `INT_MAX` \nwhen sclicing forward and \'INT_MIN\' when slicing backward.\nIf a negative value is passed for step, it represents slicing backward. \nHowever step value cannot be 0.\nIf `axes` are omitted, they are set to `[0, ..., ndim-1]`.\nIf `steps` are omitted, they are set to `[1, ..., 1]` of length `len(starts)`\nExample 1:\n  data = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n  ]\n  axes = [0, 1]\n  starts = [1, 0]\n  ends = [2, 3]\n  steps = [1, 2]\n  result = [\n      [5, 7],\n  ]\nExample 2:\n  data = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n  ]\n  starts = [0, 1]\n  ends = [-1, 1000]\n  result = [\n      [2, 3, 4],\n  ]\n"
+--
+input: "input"
+output: "output"
+name: "Softmax"
+op_type: "Softmax"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe operator computes the softmax (normalized exponential) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the softmax values of the corresponding input.\n"
+--
+input: "scores"
+input: "labels"
+input: "weights"
+output: "output"
+output: "log_prob"
+name: "SoftmaxCrossEntropyLoss"
+op_type: "SoftmaxCrossEntropyLoss"
+attribute {
+  name: "ignore_index"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "reduction"
+  s: "mean"
+  type: STRING
+}
+attribute {
+  name: "scores-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "labels-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "weights-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "Loss function that measures the softmax cross entropy\nbetween \'scores\' and \'labels\'.\nThis operator first computes a loss tensor whose shape is identical to the labels input.\nIf the input is 2-D with shape (N, C), the loss tensor may be a N-element vector L = (l_1, l_2, ..., l_N).\nIf the input is N-D tensor with shape (N, C, D1, D2, ..., Dk),\nthe loss tensor L may have (N, D1, D2, ..., Dk) as its shape and L[i,][j_1][j_2]...[j_k] denotes a scalar element in L.\nAfter L is available, this operator can optionally do a reduction operator.\n\nshape(scores): (N, C) where C is the number of classes, or (N, C, D1, D2,..., Dk),\n        with K >= 1 in case of K-dimensional loss.\nshape(labels): (N) where each value is 0 <= labels[i] <= C-1, or (N, D1, D2,..., Dk),\n        with K >= 1 in case of K-dimensional loss.\n\nThe loss for one sample, l_i, can caculated as follows:\n    l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk], where i is the index of classes.\nor\n    l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk] * weights[c], if \'weights\' is provided.\n\nloss is zero for the case when label-value equals ignore_index.\n    l[i][d1][d2]...[dk]  = 0, when labels[n][d1][d2]...[dk] = ignore_index\n\nwhere:\n    p = Softmax(scores)\n    y = Log(p)\n    c = labels[i][d1][d2]...[dk]\n\nFinally, L is optionally reduced:\nIf reduction = \'none\', the output is L with shape (N, D1, D2, ..., Dk).\nIf reduction = \'sum\', the output is scalar: Sum(L).\nIf reduction = \'mean\', the output is scalar: ReduceMean(L), or if weight is provided: ReduceSum(L) / ReduceSum(W),\nwhere tensor W is of shape (N, D1, D2, ..., Dk) and W[n][d1][d2]...[dk] = weights[labels[i][d1][d2]...[dk]].\n"
+--
+input: "X"
+output: "Y"
+name: "Softplus"
+op_type: "Softplus"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSoftplus takes one input data (Tensor) and produces one output data\n(Tensor) where the softplus function, y = ln(exp(x) + 1), is applied to\nthe tensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Softsign"
+op_type: "Softsign"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the softsign (x/(1+|x|)) of the given input tensor element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "SpaceToDepth"
+op_type: "SpaceToDepth"
+attribute {
+  name: "blocksize"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "SpaceToDepth rearranges blocks of spatial data into depth. More specifically,\nthis op outputs a copy of the input tensor where values from the height and width dimensions\nare moved to the depth dimension.\n"
+--
+input: "input"
+output: "outputs"
+name: "Split"
+op_type: "Split"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "split"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "Split a tensor into a list of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\nOtherwise, the tensor is split to equal sized parts.\n"
+--
+input: "input"
+input: "split"
+output: "output_sequence"
+name: "SplitToSequence"
+op_type: "SplitToSequence"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "split-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "Split a tensor into a sequence of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\n\'split\' must contain only positive numbers.\n\'split\' is either a scalar (tensor of empty shape), or a 1-D tensor.\nIf \'split\' is a scalar, then \'input\' will be split into equally sized chunks(if possible).\nLast chunk will be smaller if the \'input\' size along the given axis \'axis\' is not divisible\nby \'split\'.\nOtherwise, the tensor is split into \'size(split)\' chunks, with lengths of the parts on \'axis\'\nspecified in \'split\'. In this scenario, the sum of entries in \'split\' must be equal to the\ndimension size of input tensor on \'axis\'.\n"
+--
+input: "X"
+output: "Y"
+name: "Sqrt"
+op_type: "Sqrt"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSquare root takes one input data (Tensor) and produces one output data\n(Tensor) where the square root is, y = x^0.5, is applied to\nthe tensor elementwise. If x is negative, then it will return NaN.\n"
+--
+input: "data"
+output: "squeezed"
+name: "Squeeze"
+op_type: "Squeeze"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nRemove single-dimensional entries from the shape of a tensor.\nTakes a  parameter `axes` with a list of axes to squeeze.\nIf `axes` is not provided, all the single dimensions will be removed from\nthe shape. If an axis is selected with shape entry not equal to one, an error is raised.\n"
+--
+input: "X"
+output: "Y"
+name: "StringNormalizer"
+op_type: "StringNormalizer"
+attribute {
+  name: "case_change_action"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "is_case_sensitive"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "locale"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "stopwords"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "string"
+  type: STRINGS
+}
+doc_string: "\nStringNormalization performs string operations for basic cleaning.\nThis operator has only one input (denoted by X) and only one output\n(denoted by Y). This operator first examines the elements in the X,\nand removes elements specified in \"stopwords\" attribute.\nAfter removing stop words, the intermediate result can be further lowercased,\nuppercased, or just returned depending the \"case_change_action\" attribute.\nThis operator only accepts [C]- and [1, C]-tensor.\nIf all elements in X are dropped, the output will be the empty value of string tensor with shape [1]\nif input shape is [C] and shape [1, 1] if input shape is [1, C].\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Sub"
+op_type: "Sub"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary subtraction (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "data_0"
+output: "sum"
+name: "Sum"
+op_type: "Sum"
+attribute {
+  name: "data_0-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nElement-wise sum of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "input"
+output: "output"
+name: "Tan"
+op_type: "Tan"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the tangent of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Tanh"
+op_type: "Tanh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic tangent of the given input tensor element-wise.\n"
+--
+input: "X"
+output: "Y"
+name: "TfIdfVectorizer"
+op_type: "TfIdfVectorizer"
+attribute {
+  name: "max_gram_length"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "max_skip_count"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "min_gram_length"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "mode"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "ngram_counts"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "ngram_indexes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pool_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pool_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "weights"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "string"
+  type: STRINGS
+}
+doc_string: "\nThis transform extracts n-grams from the input sequence and save them as a vector. Input can\nbe either a 1-D or 2-D tensor. For 1-D input, output is the n-gram representation of that input.\nFor 2-D input, the output is also a  2-D tensor whose i-th row is the n-gram representation of the i-th input row.\nMore specifically, if input shape is [C], the corresponding output shape would be [max(ngram_indexes) + 1].\nIf input shape is [N, C], this operator produces a [N, max(ngram_indexes) + 1]-tensor.\n\nIn contrast to standard n-gram extraction, here, the indexes of extracting an n-gram from the original\nsequence are not necessarily consecutive numbers. The discontinuity between indexes are controlled by the number of skips.\nIf the number of skips is 2, we should skip two tokens when scanning through the original sequence.\nLet\'s consider an example. Assume that input sequence is [94, 17, 36, 12, 28] and the number of skips is 2.\nThe associated 2-grams are [94, 12] and [17, 28] respectively indexed by [0, 3] and [1, 4].\nIf the number of skips becomes 0, the 2-grams generated are [94, 17], [17, 36], [36, 12], [12, 28]\nindexed by [0, 1], [1, 2], [2, 3], [3, 4], respectively.\n\nThe output vector (denoted by Y) stores the count of each n-gram;\nY[ngram_indexes[i]] indicates the times that the i-th n-gram is found. The attribute ngram_indexes is used to determine the mapping\nbetween index i and the corresponding n-gram\'s output coordinate. If pool_int64s is [94, 17, 17, 36], ngram_indexes is [1, 0],\nngram_counts=[0, 0], then the Y[0] (first element in Y) and Y[1] (second element in Y) are the counts of [17, 36] and [94, 17],\nrespectively. An n-gram which cannot be found in pool_strings/pool_int64s should be ignored and has no effect on the output.\nNote that we may consider all skips up to S when generating the n-grams.\n\nThe examples used above are true if mode is \"TF\". If mode is \"IDF\", all the counts larger than 1 would be truncated to 1 and\nthe i-th element in weights would be used to scale (by multiplication) the count of the i-th n-gram in pool. If mode is \"TFIDF\",\nthis operator first computes the counts of all n-grams and then scale them by the associated values in the weights attribute.\n\nOnly one of pool_strings and pool_int64s can be set. If pool_int64s is set, the input should be an integer tensor.\nIf pool_strings is set, the input must be a string tensor.\n"
+--
+input: "X"
+output: "Y"
+name: "ThresholdedRelu"
+op_type: "ThresholdedRelu"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThresholdedRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = x for x > alpha, y = 0 otherwise,\nis applied to the tensor elementwise.\n"
+--
+input: "input"
+input: "repeats"
+output: "output"
+name: "Tile"
+op_type: "Tile"
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "repeats-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "Constructs a tensor by tiling a given tensor.\nThis is the same as function `tile` in Numpy, but no broadcast.\nFor example A = [[1, 2], [3, 4]], B = [1, 2], tile(A, B) = [[1, 2, 1, 2], [3, 4, 3, 4]]\n"
+--
+input: "X"
+input: "K"
+output: "Values"
+output: "Indices"
+name: "TopK"
+op_type: "TopK"
+attribute {
+  name: "axis"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "largest"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "sorted"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "K-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nRetrieve the top-K largest or smallest elements along a specified axis. Given an input tensor of\nshape [a_1, a_2, ..., a_n, r] and integer argument k, return two outputs:\n  -Value tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n]\n    which contains the values of the top k elements along the specified axis\n  -Index tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n] which\n   contains the indices of the top k elements (original indices from the input\n   tensor).\n\nIf \"largest\" is 1 (the default value) then the k largest elements are returned.\nIf \"sorted\" is 1 (the default value) then the resulting k elements will be sorted.\nIf \"sorted\" is 0, order of returned \'Values\' and \'Indices\' are undefined.\n\nGiven two equivalent values, this operator uses the indices along the axis as\n a tiebreaker. That is, the element with the lower index will appear first.\n"
+--
+input: "data"
+output: "transposed"
+name: "Transpose"
+op_type: "Transpose"
+attribute {
+  name: "perm"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nTranspose the input tensor similar to numpy.transpose. For example, when\nperm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape\nwill be (2, 1, 3).\n"
+--
+input: "X"
+output: "Y"
+output: "Z"
+name: "TreeEnsembleClassifier"
+op_type: "TreeEnsembleClassifier"
+attribute {
+  name: "base_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "class_ids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "class_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "class_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "class_weights"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "classlabels_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "nodes_falsenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_featureids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_hitrates"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "nodes_missing_value_tracks_true"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_modes"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "nodes_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_truenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Tree Ensemble classifier.  Returns the top class for each of N inputs.
        \n    The attributes named \'nodes_X\' form a sequence of tuples, associated by \n    index into the sequences, which must all be of equal length. These tuples\n    define the nodes.
        \n    Similarly, all fields prefixed with \'class_\' are tuples of votes at the leaves.\n    A leaf may have multiple votes, where each vote is weighted by\n    the associated class_weights index.
        \n    One and only one of classlabels_strings or classlabels_int64s\n    will be defined. The class_ids are indices into this list.\n"
+--
+input: "X"
+output: "Y"
+name: "TreeEnsembleRegressor"
+op_type: "TreeEnsembleRegressor"
+attribute {
+  name: "aggregate_function"
+  s: "SUM"
+  type: STRING
+}
+attribute {
+  name: "base_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "n_targets"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "nodes_falsenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_featureids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_hitrates"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "nodes_missing_value_tracks_true"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_modes"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "nodes_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_truenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "target_ids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "target_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "target_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "target_weights"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Tree Ensemble regressor.  Returns the regressed values for each input in N.
        \n    All args with nodes_ are fields of a tuple of tree nodes, and\n    it is assumed they are the same length, and an index i will decode the\n    tuple across these inputs.  Each node id can appear only once\n    for each tree id.
        \n    All fields prefixed with target_ are tuples of votes at the leaves.
        \n    A leaf may have multiple votes, where each vote is weighted by\n    the associated target_weights index.
        \n    All trees must have their node ids start at 0 and increment by 1.
        \n    Mode enum is BRANCH_LEQ, BRANCH_LT, BRANCH_GTE, BRANCH_GT, BRANCH_EQ, BRANCH_NEQ, LEAF\n"
+--
+input: "X"
+output: "Y"
+output: "indices"
+output: "inverse_indices"
+output: "counts"
+name: "Unique"
+op_type: "Unique"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "sorted"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nFind the unique elements of a tensor. When an optional attribute \'axis\' is provided, unique subtensors sliced along the \'axis\' are returned. \nOtherwise the input tensor is flattened and unique values of the flattened tensor are returned. \n\nThis operator returns the unique values or sliced unique subtensors of the input tensor and three optional outputs. \nThe first output tensor \'Y\' contains all unique values or subtensors of the input. \nThe second optional output tensor \'indices\' contains indices of \'Y\' elements\' first occurance in \'X\'.. \nThe third optional output tensor \'inverse_indices\' contains, for elements of \'X\', its corresponding indices in \'Y\'. \". \nThe fourth optional output tensor \'counts\' contains the count of each element of \'Y\' in the input. \n\nOutputs are either sorted in ascending order or optionally in the order of the first occurrence of the values in the input. \n\nhttps://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html\n\nExample 1:\n  input_X = [2, 1, 1, 3, 4, 3]\n  attribute_sorted = 0\n  attribute_axis = None\n  output_Y = [2, 1, 3, 4]\n  output_indices = [0, 1, 3, 4]\n  output_inverse_indices = [0, 1, 1, 2, 3, 2]\n  output_counts = [1, 2, 2, 1]\n\nExample 2:\n  input_X = [[1, 3], [2, 3]]\n  attribute_sorted = 1\n  attribute_axis = None\n  output_Y = [1, 2, 3]\n  output_indices = [0, 2, 1]\n  output_inverse_indices = [0, 2, 1, 2]\n  output_counts = [1, 1, 2]\n\nExample 3:\n  input_X = [[1, 0, 0], [1, 0, 0], [2, 3, 4]]\n  attribute_sorted = 1\n  attribute_axis = 0\n  output_Y = [[1, 0, 0], [2, 3, 4]]\n  output_indices = [0, 2]\n  output_inverse_indices = [0, 0, 1]\n  output_counts = [2, 1]\n\nExample 4:\n  input_x = [[[1., 1.], [0., 1.], [2., 1.], [0., 1.]], \n             [[1., 1.], [0., 1.], [2., 1.], [0., 1.]]]\n  attribute_sorted = 1\n  attribute_axis = 1\n\n  intermediate data are presented below for better understanding: \n  \n  there are 4 subtensors sliced along axis 1 of input_x (shape = (2, 4, 2)):\n  A: [[1, 1], [1, 1]], \n     [[0, 1], [0, 1]], \n     [[2, 1], [2, 1]], \n     [[0, 1], [0, 1]].\n  \n  there are 3 unique subtensors: \n  [[1, 1], [1, 1]], \n  [[0, 1], [0, 1]], \n  [[2, 1], [2, 1]].\n  \n  sorted unique subtensors:\n  B: [[0, 1], [0, 1]], \n     [[1, 1], [1, 1]], \n     [[2, 1], [2, 1]].\n  \n  output_Y is constructed from B:\n  [[[0. 1.], [1. 1.], [2. 1.]], \n   [[0. 1.], [1. 1.], [2. 1.]]]\n\n  output_indices is to map from B to A:\n  [1, 0, 2]\n  \n  output_inverse_indices is to map from A to B:\n  [1, 0, 2, 0]\n\n  output_counts = [2 1 1]\n"
+--
+input: "data"
+output: "expanded"
+name: "Unsqueeze"
+op_type: "Unsqueeze"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nInsert single-dimensional entries to the shape of an input tensor (`data`).\nTakes one required argument `axes` - which contains a list of dimension indices and this operator will insert a dimension of value `1` into the corresponding index of the output tensor (`expanded`).\n\nFor example:\n  Given an input tensor (`data`) of shape [3, 4, 5], then\n  Unsqueeze(data, axes=[0, 4]) outputs a tensor (`expanded`) containing same data as `data` but with shape [1, 3, 4, 5, 1].\n\nThe attribute `axes` should not contain any duplicate entries. It is an error if it contains duplicates.\nThe rank of the output tensor (`output_rank`) is the rank of the input tensor (`data`) plus the number of values in `axes`.\nEach value in `axes` should be within the (inclusive) range [-output_rank , output_rank - 1]. \nThe order of values in `axes` does not matter and can come in any order. \n\n"
+--
+input: "X"
+input: "scales"
+output: "Y"
+name: "Upsample"
+op_type: "Upsample"
+attribute {
+  name: "mode"
+  s: "nearest"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "scales-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nUpsample the input tensor.\nEach dimension value of the output tensor is:\n  output_dimension = floor(input_dimension * scale).\n"
+--
+input: "condition"
+input: "X"
+input: "Y"
+output: "output"
+name: "Where"
+op_type: "Where"
+attribute {
+  name: "condition-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n    Return elements, either from X or Y, depending on condition\n    (with Numpy-style broadcasting support).\n    Where behaves like numpy.where with three parameters:\n    https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Xor"
+op_type: "Xor"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `xor` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Z"
+name: "ZipMap"
+op_type: "ZipMap"
+attribute {
+  name: "classlabels_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Creates a map from the input and the attributes.
        \n    The values are provided by the input tensor, while the keys are specified by the attributes.\n    Must provide keys in either classlabels_strings or classlabels_int64s (but not both).
        \n    The columns of the tensor correspond one-by-one to the keys specified by the attributes. There must be as many columns as keys.
        \n"
+--
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/op-ir.proto b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/op-ir.proto
new file mode 100644
index 000000000..e69de29bb
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/ops.proto b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/ops.proto
index 4eb3d0029..ca4f14ccc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/ops.proto
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/resources/ops.proto
@@ -34,6 +34,8 @@ op {
         type: DT_HALF
         type: DT_FLOAT
         type: DT_DOUBLE
+        type: DT_INT8
+        type: DT_INT16
         type: DT_INT32
         type: DT_INT64
       }
@@ -214,6 +216,8 @@ op {
         type: DT_HALF
         type: DT_FLOAT
         type: DT_DOUBLE
+        type: DT_INT8
+        type: DT_INT16
         type: DT_INT32
         type: DT_INT64
         type: DT_COMPLEX64
@@ -430,6 +434,7 @@ op {
         type: DT_UINT8
         type: DT_INT8
         type: DT_INT16
+        type: DT_UINT32
         type: DT_INT32
         type: DT_INT64
         type: DT_COMPLEX64
@@ -486,7 +491,7 @@ op {
   name: "AdjustContrastv2"
   input_arg {
     name: "images"
-    type: DT_FLOAT
+    type_attr: "T"
   }
   input_arg {
     name: "contrast_factor"
@@ -494,14 +499,27 @@ op {
   }
   output_arg {
     name: "output"
-    type: DT_FLOAT
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    default_value {
+      type: DT_FLOAT
+    }
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+      }
+    }
   }
 }
 op {
   name: "AdjustHue"
   input_arg {
     name: "images"
-    type: DT_FLOAT
+    type_attr: "T"
   }
   input_arg {
     name: "delta"
@@ -509,14 +527,27 @@ op {
   }
   output_arg {
     name: "output"
-    type: DT_FLOAT
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    default_value {
+      type: DT_FLOAT
+    }
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+      }
+    }
   }
 }
 op {
   name: "AdjustSaturation"
   input_arg {
     name: "images"
-    type: DT_FLOAT
+    type_attr: "T"
   }
   input_arg {
     name: "scale"
@@ -524,7 +555,20 @@ op {
   }
   output_arg {
     name: "output"
-    type: DT_FLOAT
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    default_value {
+      type: DT_FLOAT
+    }
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+      }
+    }
   }
 }
 op {
@@ -612,6 +656,59 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "AllToAll"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "group_assignment"
+    type: DT_INT32
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_UINT8
+        type: DT_INT16
+        type: DT_INT8
+        type: DT_COMPLEX64
+        type: DT_INT64
+        type: DT_QINT8
+        type: DT_QUINT8
+        type: DT_QINT32
+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_COMPLEX128
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
+        type: DT_BOOL
+      }
+    }
+  }
+  attr {
+    name: "concat_dimension"
+    type: "int"
+  }
+  attr {
+    name: "split_dimension"
+    type: "int"
+  }
+  attr {
+    name: "split_count"
+    type: "int"
+  }
+}
 op {
   name: "Angle"
   input_arg {
@@ -669,6 +766,116 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "AnonymousIteratorV2"
+  output_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  output_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+  is_stateful: true
+}
+op {
+  name: "AnonymousMemoryCache"
+  output_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  output_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
+op {
+  name: "AnonymousMultiDeviceIterator"
+  output_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  output_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "devices"
+    type: "list(string)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+  is_stateful: true
+}
+op {
+  name: "AnonymousRandomSeedGenerator"
+  input_arg {
+    name: "seed"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "seed2"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  output_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
+op {
+  name: "AnonymousSeedGenerator"
+  input_arg {
+    name: "seed"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "seed2"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "reshuffle"
+    type: DT_BOOL
+  }
+  output_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  output_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
 op {
   name: "Any"
   input_arg {
@@ -994,6 +1201,75 @@ op {
     }
   }
 }
+op {
+  name: "ApplyAdagradV2"
+  input_arg {
+    name: "var"
+    type_attr: "T"
+    is_ref: true
+  }
+  input_arg {
+    name: "accum"
+    type_attr: "T"
+    is_ref: true
+  }
+  input_arg {
+    name: "lr"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "epsilon"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "grad"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "out"
+    type_attr: "T"
+    is_ref: true
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_UINT8
+        type: DT_INT16
+        type: DT_INT8
+        type: DT_COMPLEX64
+        type: DT_INT64
+        type: DT_QINT8
+        type: DT_QUINT8
+        type: DT_QINT32
+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_COMPLEX128
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
+      }
+    }
+  }
+  attr {
+    name: "use_locking"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "update_slots"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
+}
 op {
   name: "ApplyAdam"
   input_arg {
@@ -1308,6 +1584,13 @@ op {
       b: false
     }
   }
+  attr {
+    name: "multiply_linear_by_lr"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
 }
 op {
   name: "ApplyFtrlV2"
@@ -1387,6 +1670,13 @@ op {
       b: false
     }
   }
+  attr {
+    name: "multiply_linear_by_lr"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
 }
 op {
   name: "ApplyGradientDescent"
@@ -1866,6 +2156,7 @@ op {
         type: DT_HALF
         type: DT_UINT32
         type: DT_UINT64
+        type: DT_BOOL
       }
     }
   }
@@ -1932,6 +2223,7 @@ op {
         type: DT_HALF
         type: DT_UINT32
         type: DT_UINT64
+        type: DT_BOOL
       }
     }
   }
@@ -1986,6 +2278,7 @@ op {
         type: DT_FLOAT
         type: DT_DOUBLE
         type: DT_BOOL
+        type: DT_VARIANT
       }
     }
   }
@@ -2044,6 +2337,8 @@ op {
         type: DT_HALF
         type: DT_FLOAT
         type: DT_DOUBLE
+        type: DT_INT8
+        type: DT_INT16
         type: DT_INT32
         type: DT_INT64
         type: DT_COMPLEX64
@@ -2102,6 +2397,60 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "AssertCardinalityDataset"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  input_arg {
+    name: "cardinality"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+}
+op {
+  name: "AssertNextDataset"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  input_arg {
+    name: "transformations"
+    type: DT_STRING
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+}
 op {
   name: "Assign"
   input_arg {
@@ -2303,6 +2652,8 @@ op {
         type: DT_HALF
         type: DT_FLOAT
         type: DT_DOUBLE
+        type: DT_INT8
+        type: DT_INT16
         type: DT_INT32
         type: DT_INT64
         type: DT_COMPLEX64
@@ -2449,6 +2800,51 @@ op {
     minimum: 1
   }
 }
+op {
+  name: "AutoShardDataset"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  input_arg {
+    name: "num_workers"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "index"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "auto_shard_policy"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
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+        type: DT_BOOL
+        type: DT_FLOAT
+        type: DT_HALF
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
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+    type: "int"
+  }
+  attr {
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+    type: "int"
+  }
+  attr {
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+    type: "int"
+  }
+  attr {
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+    type: "shape"
+  }
+  attr {
+    name: "communication_hint"
+    type: "string"
+    default_value {
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+    }
+  }
+  attr {
+    name: "timeout_seconds"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "CollectiveBcastSendV2"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "group_size"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "group_key"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "instance_key"
+    type: DT_INT32
+  }
+  output_arg {
+    name: "data"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_BOOL
+        type: DT_FLOAT
+        type: DT_HALF
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "communication_hint"
+    type: "string"
+    default_value {
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+    }
+  }
+  attr {
+    name: "timeout_seconds"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "CollectiveGather"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "data"
+    type_attr: "T"
+  }
   attr {
     name: "T"
     type: "type"
@@ -5354,8 +7653,126 @@ op {
     name: "shape"
     type: "shape"
   }
+  attr {
+    name: "communication_hint"
+    type: "string"
+    default_value {
+      s: "auto"
+    }
+  }
+  attr {
+    name: "timeout_seconds"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
   is_stateful: true
 }
+op {
+  name: "CollectiveGatherV2"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "group_size"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "group_key"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "instance_key"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "ordering_token"
+    type: DT_RESOURCE
+    number_attr: "Nordering_token"
+  }
+  output_arg {
+    name: "data"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_HALF
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "communication_hint"
+    type: "string"
+    default_value {
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+    }
+  }
+  attr {
+    name: "timeout_seconds"
+    type: "float"
+    default_value {
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+    }
+  }
+  attr {
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+    type: "int"
+    default_value {
+      i: 0
+    }
+    has_minimum: true
+  }
+  is_stateful: true
+}
+op {
+  name: "CollectivePermute"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "source_target_pairs"
+    type: DT_INT32
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_UINT8
+        type: DT_INT16
+        type: DT_INT8
+        type: DT_COMPLEX64
+        type: DT_INT64
+        type: DT_QINT8
+        type: DT_QUINT8
+        type: DT_QINT32
+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_COMPLEX128
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
+      }
+    }
+  }
+}
 op {
   name: "CollectiveReduce"
   input_arg {
@@ -5417,8 +7834,173 @@ op {
     name: "subdiv_offsets"
     type: "list(int)"
   }
+  attr {
+    name: "wait_for"
+    type: "list(int)"
+    default_value {
+      list {
+      }
+    }
+  }
+  attr {
+    name: "communication_hint"
+    type: "string"
+    default_value {
+      s: "auto"
+    }
+  }
+  attr {
+    name: "timeout_seconds"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
   is_stateful: true
 }
+op {
+  name: "CollectiveReduceV2"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "group_size"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "group_key"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "instance_key"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "ordering_token"
+    type: DT_RESOURCE
+    number_attr: "Nordering_token"
+  }
+  output_arg {
+    name: "data"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_HALF
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "merge_op"
+    type: "string"
+    allowed_values {
+      list {
+        s: "Min"
+        s: "Max"
+        s: "Mul"
+        s: "Add"
+      }
+    }
+  }
+  attr {
+    name: "final_op"
+    type: "string"
+    allowed_values {
+      list {
+        s: "Id"
+        s: "Div"
+      }
+    }
+  }
+  attr {
+    name: "communication_hint"
+    type: "string"
+    default_value {
+      s: "auto"
+    }
+  }
+  attr {
+    name: "timeout_seconds"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
+  attr {
+    name: "Nordering_token"
+    type: "int"
+    default_value {
+      i: 0
+    }
+    has_minimum: true
+  }
+  is_stateful: true
+}
+op {
+  name: "CombinedNonMaxSuppression"
+  input_arg {
+    name: "boxes"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "scores"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "max_output_size_per_class"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "max_total_size"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "iou_threshold"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "score_threshold"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "nmsed_boxes"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "nmsed_scores"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "nmsed_classes"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "valid_detections"
+    type: DT_INT32
+  }
+  attr {
+    name: "pad_per_class"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "clip_boxes"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
+}
 op {
   name: "CompareAndBitpack"
   input_arg {
@@ -5528,6 +8110,23 @@ op {
     }
   }
 }
+op {
+  name: "CompressElement"
+  input_arg {
+    name: "components"
+    type_list_attr: "input_types"
+  }
+  output_arg {
+    name: "compressed"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "input_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+}
 op {
   name: "ComputeAccidentalHits"
   input_arg {
@@ -5569,6 +8168,17 @@ op {
     }
   }
 }
+op {
+  name: "ComputeBatchSize"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  output_arg {
+    name: "batch_size"
+    type: DT_INT64
+  }
+}
 op {
   name: "Concat"
   input_arg {
@@ -5749,6 +8359,57 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "ConfigureDistributedTPU"
+  output_arg {
+    name: "topology"
+    type: DT_STRING
+  }
+  attr {
+    name: "embedding_config"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  attr {
+    name: "tpu_embedding_config"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  attr {
+    name: "is_global_init"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "enable_whole_mesh_compilations"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "compilation_failure_closes_chips"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "ConfigureTPUEmbedding"
+  attr {
+    name: "config"
+    type: "string"
+  }
+  is_stateful: true
+}
 op {
   name: "Conj"
   input_arg {
@@ -5855,6 +8516,7 @@ op {
         type: DT_BFLOAT16
         type: DT_FLOAT
         type: DT_DOUBLE
+        type: DT_INT32
       }
     }
   }
@@ -5876,6 +8538,15 @@ op {
       list {
         s: "SAME"
         s: "VALID"
+        s: "EXPLICIT"
+      }
+    }
+  }
+  attr {
+    name: "explicit_paddings"
+    type: "list(int)"
+    default_value {
+      list {
       }
     }
   }
@@ -5953,6 +8624,15 @@ op {
       list {
         s: "SAME"
         s: "VALID"
+        s: "EXPLICIT"
+      }
+    }
+  }
+  attr {
+    name: "explicit_paddings"
+    type: "list(int)"
+    default_value {
+      list {
       }
     }
   }
@@ -6009,6 +8689,7 @@ op {
         type: DT_BFLOAT16
         type: DT_FLOAT
         type: DT_DOUBLE
+        type: DT_INT32
       }
     }
   }
@@ -6030,6 +8711,15 @@ op {
       list {
         s: "SAME"
         s: "VALID"
+        s: "EXPLICIT"
+      }
+    }
+  }
+  attr {
+    name: "explicit_paddings"
+    type: "list(int)"
+    default_value {
+      list {
       }
     }
   }
@@ -6417,12 +9107,10 @@ op {
   name: "Copy"
   input_arg {
     name: "input"
-    description: "Input tensor."
     type_attr: "T"
   }
   output_arg {
     name: "output"
-    description: "Output tensor, deep-copied from input."
     type_attr: "T"
   }
   attr {
@@ -6435,7 +9123,6 @@ op {
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       s: ""
     }
-    description: "The name of the input tensor."
   }
   attr {
     name: "debug_ops_spec"
@@ -6444,22 +9131,17 @@ op {
       list {
       }
     }
-    description: "A list of debug op spec (op, url, gated_grpc) for attached debug\nops. Each element of the list has the format\n;;, wherein gated_grpc is boolean represented\nas 0/1. E.g., \"DebugIdentity;grpc://foo:3333;1\",\n\"DebugIdentity;file:///tmp/tfdbg_1;0\"."
   }
-  summary: "Copy Op."
-  description: "Performs CPU-to-CPU or GPU-to-GPU deep-copying of tensor, depending on the\ndevice on which the tensor is allocated.\nN.B.: If the all downstream attached debug ops are disabled given the current\ngRPC gating status, the output will simply forward the input tensor without\ndeep-copying. See the documentation of Debug* ops for more details.\n\nUnlike the CopyHost Op, this op does not have HostMemory constraint on its\ninput or output."
   allows_uninitialized_input: true
 }
 op {
   name: "CopyHost"
   input_arg {
     name: "input"
-    description: "Input tensor."
     type_attr: "T"
   }
   output_arg {
     name: "output"
-    description: "Output tensor, deep-copied from input."
     type_attr: "T"
   }
   attr {
@@ -6472,7 +9154,6 @@ op {
     default_value {
       s: ""
     }
-    description: "The name of the input tensor."
   }
   attr {
     name: "debug_ops_spec"
@@ -6481,10 +9162,7 @@ op {
       list {
       }
     }
-    description: "A list of debug op spec (op, url, gated_grpc) for attached debug\nops. Each element of the list has the format\n;;, wherein gated_grpc is boolean represented\nas 0/1. E.g., \"DebugIdentity;grpc://foo:3333;1\",\n\"DebugIdentity;file:///tmp/tfdbg_1;0\"."
   }
-  summary: "Copy Host Op."
-  description: "Performs CPU-to-CPU deep-copying of tensor.\nN.B.: If the all downstream attached debug ops are disabled given the current\ngRPC gating status, the output will simply forward the input tensor without\ndeep-copying. See the documentation of Debug* ops for more details.\n\nUnlike the Copy Op, this op has HostMemory constraint on its input or output."
   allows_uninitialized_input: true
 }
 op {
@@ -6805,6 +9483,34 @@ op {
     }
   }
 }
+op {
+  name: "CrossReplicaSum"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "group_assignment"
+    type: DT_INT32
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_BFLOAT16
+        type: DT_FLOAT
+        type: DT_INT32
+        type: DT_UINT32
+      }
+    }
+  }
+}
 op {
   name: "CudnnRNN"
   input_arg {
@@ -7346,6 +10052,20 @@ op {
       i: 0
     }
   }
+  attr {
+    name: "num_proj"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "time_major"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
   is_stateful: true
 }
 op {
@@ -7457,6 +10177,128 @@ op {
     }
   }
 }
+op {
+  name: "CudnnRNNCanonicalToParamsV2"
+  input_arg {
+    name: "num_layers"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "num_units"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "input_size"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "weights"
+    type_attr: "T"
+    number_attr: "num_params_weights"
+  }
+  input_arg {
+    name: "biases"
+    type_attr: "T"
+    number_attr: "num_params_biases"
+  }
+  output_arg {
+    name: "params"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+  attr {
+    name: "num_params_weights"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "num_params_biases"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "rnn_mode"
+    type: "string"
+    default_value {
+      s: "lstm"
+    }
+    allowed_values {
+      list {
+        s: "rnn_relu"
+        s: "rnn_tanh"
+        s: "lstm"
+        s: "gru"
+      }
+    }
+  }
+  attr {
+    name: "input_mode"
+    type: "string"
+    default_value {
+      s: "linear_input"
+    }
+    allowed_values {
+      list {
+        s: "linear_input"
+        s: "skip_input"
+        s: "auto_select"
+      }
+    }
+  }
+  attr {
+    name: "direction"
+    type: "string"
+    default_value {
+      s: "unidirectional"
+    }
+    allowed_values {
+      list {
+        s: "unidirectional"
+        s: "bidirectional"
+      }
+    }
+  }
+  attr {
+    name: "dropout"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
+  attr {
+    name: "seed"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "seed2"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "num_proj"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+}
 op {
   name: "CudnnRNNParamsSize"
   input_arg {
@@ -7559,6 +10401,13 @@ op {
       i: 0
     }
   }
+  attr {
+    name: "num_proj"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
 }
 op {
   name: "CudnnRNNParamsToCanonical"
@@ -7669,6 +10518,128 @@ op {
     }
   }
 }
+op {
+  name: "CudnnRNNParamsToCanonicalV2"
+  input_arg {
+    name: "num_layers"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "num_units"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "input_size"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "params"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "weights"
+    type_attr: "T"
+    number_attr: "num_params_weights"
+  }
+  output_arg {
+    name: "biases"
+    type_attr: "T"
+    number_attr: "num_params_biases"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+  attr {
+    name: "num_params_weights"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "num_params_biases"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "rnn_mode"
+    type: "string"
+    default_value {
+      s: "lstm"
+    }
+    allowed_values {
+      list {
+        s: "rnn_relu"
+        s: "rnn_tanh"
+        s: "lstm"
+        s: "gru"
+      }
+    }
+  }
+  attr {
+    name: "input_mode"
+    type: "string"
+    default_value {
+      s: "linear_input"
+    }
+    allowed_values {
+      list {
+        s: "linear_input"
+        s: "skip_input"
+        s: "auto_select"
+      }
+    }
+  }
+  attr {
+    name: "direction"
+    type: "string"
+    default_value {
+      s: "unidirectional"
+    }
+    allowed_values {
+      list {
+        s: "unidirectional"
+        s: "bidirectional"
+      }
+    }
+  }
+  attr {
+    name: "dropout"
+    type: "float"
+    default_value {
+      f: 0
+    }
+  }
+  attr {
+    name: "seed"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "seed2"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "num_proj"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+}
 op {
   name: "CudnnRNNV2"
   input_arg {
@@ -7906,6 +10877,13 @@ op {
       i: 0
     }
   }
+  attr {
+    name: "num_proj"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
   attr {
     name: "is_training"
     type: "bool"
@@ -7913,6 +10891,13 @@ op {
       b: true
     }
   }
+  attr {
+    name: "time_major"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
   is_stateful: true
 }
 op {
@@ -8049,6 +11034,59 @@ op {
     }
   }
 }
+op {
+  name: "CumulativeLogsumexp"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "axis"
+    type_attr: "Tidx"
+  }
+  output_arg {
+    name: "out"
+    type_attr: "T"
+  }
+  attr {
+    name: "exclusive"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "reverse"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+  attr {
+    name: "Tidx"
+    type: "type"
+    default_value {
+      type: DT_INT32
+    }
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+}
 op {
   name: "DataFormatDimMap"
   input_arg {
@@ -8125,6 +11163,83 @@ op {
     }
   }
 }
+op {
+  name: "DataServiceDataset"
+  input_arg {
+    name: "dataset_id"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "processing_mode"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "address"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "protocol"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "job_name"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "max_outstanding_requests"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "iteration_counter"
+    type: DT_RESOURCE
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "task_refresh_interval_hint_ms"
+    type: "int"
+    default_value {
+      i: -1
+    }
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+  is_stateful: true
+}
+op {
+  name: "DatasetCardinality"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  output_arg {
+    name: "cardinality"
+    type: DT_INT64
+  }
+}
+op {
+  name: "DatasetFromGraph"
+  input_arg {
+    name: "graph_def"
+    type: DT_STRING
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+}
 op {
   name: "DatasetToGraph"
   input_arg {
@@ -8135,6 +11250,54 @@ op {
     name: "graph"
     type: DT_STRING
   }
+  attr {
+    name: "stateful_whitelist"
+    type: "list(string)"
+    default_value {
+      list {
+      }
+    }
+    has_minimum: true
+  }
+  attr {
+    name: "allow_stateful"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "strip_device_assignment"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+}
+op {
+  name: "DatasetToGraphV2"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  output_arg {
+    name: "graph"
+    type: DT_STRING
+  }
+  attr {
+    name: "external_state_policy"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "strip_device_assignment"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
 }
 op {
   name: "DatasetToSingleElement"
@@ -8158,6 +11321,46 @@ op {
     has_minimum: true
     minimum: 1
   }
+  is_stateful: true
+}
+op {
+  name: "DatasetToTFRecord"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  input_arg {
+    name: "filename"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "compression_type"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
+op {
+  name: "Dawsn"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_BFLOAT16
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
 }
 op {
   name: "DebugGradientIdentity"
@@ -8197,12 +11400,10 @@ op {
   name: "DebugIdentity"
   input_arg {
     name: "input"
-    description: "Input tensor, non-Reference type."
     type_attr: "T"
   }
   output_arg {
     name: "output"
-    description: "Output tensor that equals the input tensor."
     type_attr: "T"
   }
   attr {
@@ -8222,7 +11423,6 @@ op {
     default_value {
       s: ""
     }
-    description: "Name of the input tensor."
   }
   attr {
     name: "debug_urls"
@@ -8231,7 +11431,6 @@ op {
       list {
       }
     }
-    description: "List of URLs to debug targets, e.g.,\nfile:///foo/tfdbg_dump, grpc:://localhost:11011"
   }
   attr {
     name: "gated_grpc"
@@ -8239,22 +11438,83 @@ op {
     default_value {
       b: false
     }
-    description: "Whether this op will be gated. If any of the debug_urls of this\ndebug node is of the grpc:// scheme, when the value of this attribute is set\nto True, the data will not actually be sent via the grpc stream unless this\ndebug op has been enabled at the debug_url. If all of the debug_urls of this\ndebug node are of the grpc:// scheme and the debug op is enabled at none of\nthem, the output will be an empty Tensor."
   }
-  summary: "Debug Identity Op."
-  description: "Provides an identity mapping of the non-Ref type input tensor for debugging."
   allows_uninitialized_input: true
 }
+op {
+  name: "DebugIdentityV2"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+  attr {
+    name: "tfdbg_context_id"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  attr {
+    name: "op_name"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  attr {
+    name: "output_slot"
+    type: "int"
+    default_value {
+      i: -1
+    }
+  }
+  attr {
+    name: "tensor_debug_mode"
+    type: "int"
+    default_value {
+      i: -1
+    }
+  }
+  attr {
+    name: "debug_urls"
+    type: "list(string)"
+    default_value {
+      list {
+      }
+    }
+  }
+  attr {
+    name: "circular_buffer_size"
+    type: "int"
+    default_value {
+      i: 1000
+    }
+  }
+  attr {
+    name: "tfdbg_run_id"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  is_stateful: true
+}
 op {
   name: "DebugNanCount"
   input_arg {
     name: "input"
-    description: "Input tensor, non-Reference type."
     type_attr: "T"
   }
   output_arg {
     name: "output"
-    description: "An integer output tensor that is the number of NaNs in the input."
     type: DT_INT64
   }
   attr {
@@ -8274,7 +11534,6 @@ op {
     default_value {
       s: ""
     }
-    description: "Name of the input tensor."
   }
   attr {
     name: "debug_urls"
@@ -8283,7 +11542,6 @@ op {
       list {
       }
     }
-    description: "List of URLs to debug targets, e.g.,\nfile:///foo/tfdbg_dump, grpc:://localhost:11011."
   }
   attr {
     name: "gated_grpc"
@@ -8291,22 +11549,17 @@ op {
     default_value {
       b: false
     }
-    description: "Whether this op will be gated. If any of the debug_urls of this\ndebug node is of the grpc:// scheme, when the value of this attribute is set\nto True, the data will not actually be sent via the grpc stream unless this\ndebug op has been enabled at the debug_url. If all of the debug_urls of this\ndebug node are of the grpc:// scheme and the debug op is enabled at none of\nthem, the output will be an empty Tensor."
   }
-  summary: "Debug NaN Value Counter Op"
-  description: "Counts number of NaNs in the input tensor, for debugging."
   allows_uninitialized_input: true
 }
 op {
   name: "DebugNumericSummary"
   input_arg {
     name: "input"
-    description: "Input tensor, non-Reference type, float or double."
     type_attr: "T"
   }
   output_arg {
     name: "output"
-    description: "A double tensor of shape [14 + nDimensions], where nDimensions is the\n  the number of dimensions of the tensor\'s shape. The elements of output are:\n  [0]: is initialized (1.0) or not (0.0).\n  [1]: total number of elements\n  [2]: NaN element count\n  [3]: generalized -inf count: elements <= lower_bound. lower_bound is -inf by\n    default.\n  [4]: negative element count (excluding -inf), if lower_bound is the default\n    -inf. Otherwise, this is the count of elements > lower_bound and < 0.\n  [5]: zero element count\n  [6]: positive element count (excluding +inf), if upper_bound is the default\n    -inf. Otherwise, this is the count of elements < upper_bound and > 0.\n  [7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by\n    default.\nOutput elements [1:8] are all zero, if the tensor is uninitialized.\n  [8]: minimum of all non-inf and non-NaN elements.\n       If uninitialized or no such element exists: +inf.\n  [9]: maximum of all non-inf and non-NaN elements.\n       If uninitialized or no such element exists: -inf.\n  [10]: mean of all non-inf and non-NaN elements.\n        If uninitialized or no such element exists: NaN.\n  [11]: variance of all non-inf and non-NaN elements.\n        If uninitialized or no such element exists: NaN.\n  [12]: Data type of the tensor encoded as an enum integer. See the DataType\n        proto for more details.\n  [13]: Number of dimensions of the tensor (ndims).\n  [14+]: Sizes of the dimensions."
     type: DT_DOUBLE
   }
   attr {
@@ -8326,7 +11579,6 @@ op {
     default_value {
       s: ""
     }
-    description: "Name of the input tensor."
   }
   attr {
     name: "debug_urls"
@@ -8335,7 +11587,6 @@ op {
       list {
       }
     }
-    description: "List of URLs to debug targets, e.g.,\nfile:///foo/tfdbg_dump, grpc:://localhost:11011"
   }
   attr {
     name: "lower_bound"
@@ -8343,7 +11594,6 @@ op {
     default_value {
       f: -inf
     }
-    description: "(float) The lower bound <= which values will be included in the\ngeneralized -inf count. Default: -inf."
   }
   attr {
     name: "upper_bound"
@@ -8351,7 +11601,6 @@ op {
     default_value {
       f: inf
     }
-    description: "(float) The upper bound >= which values will be included in the\ngeneralized +inf count. Default: +inf."
   }
   attr {
     name: "mute_if_healthy"
@@ -8359,7 +11608,6 @@ op {
     default_value {
       b: false
     }
-    description: "(bool) Do not send data to the debug URLs unless at least one\nof elements [2], [3] and [7] (i.e., the nan count and the generalized -inf and\ninf counts) is non-zero."
   }
   attr {
     name: "gated_grpc"
@@ -8367,12 +11615,51 @@ op {
     default_value {
       b: false
     }
-    description: "Whether this op will be gated. If any of the debug_urls of this\ndebug node is of the grpc:// scheme, when the value of this attribute is set\nto True, the data will not actually be sent via the grpc stream unless this\ndebug op has been enabled at the debug_url. If all of the debug_urls of this\ndebug node are of the grpc:// scheme and the debug op is enabled at none of\nthem, the output will be an empty Tensor."
   }
-  summary: "Debug Numeric Summary Op."
-  description: "Provide a basic summary of numeric value types, range and distribution."
   allows_uninitialized_input: true
 }
+op {
+  name: "DebugNumericSummaryV2"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "output_dtype"
+  }
+  attr {
+    name: "output_dtype"
+    type: "type"
+    default_value {
+      type: DT_FLOAT
+    }
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+  attr {
+    name: "tensor_debug_mode"
+    type: "int"
+    default_value {
+      i: -1
+    }
+  }
+  attr {
+    name: "tensor_id"
+    type: "int"
+    default_value {
+      i: -1
+    }
+  }
+}
 op {
   name: "DecodeAndCropJpeg"
   input_arg {
@@ -8547,6 +11834,45 @@ op {
     type: DT_UINT8
   }
 }
+op {
+  name: "DecodeImage"
+  input_arg {
+    name: "contents"
+    type: DT_STRING
+  }
+  output_arg {
+    name: "image"
+    type_attr: "dtype"
+  }
+  attr {
+    name: "channels"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  attr {
+    name: "dtype"
+    type: "type"
+    default_value {
+      type: DT_UINT8
+    }
+    allowed_values {
+      list {
+        type: DT_UINT8
+        type: DT_UINT16
+        type: DT_FLOAT
+      }
+    }
+  }
+  attr {
+    name: "expand_animations"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
+}
 op {
   name: "DecodeJSONExample"
   input_arg {
@@ -8611,6 +11937,45 @@ op {
     }
   }
 }
+op {
+  name: "DecodePaddedRaw"
+  input_arg {
+    name: "input_bytes"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "fixed_length"
+    type: DT_INT32
+  }
+  output_arg {
+    name: "output"
+    type_attr: "out_type"
+  }
+  attr {
+    name: "out_type"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_UINT16
+        type: DT_UINT8
+        type: DT_INT16
+        type: DT_INT8
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "little_endian"
+    type: "bool"
+    default_value {
+      b: true
+    }
+  }
+}
 op {
   name: "DecodePng"
   input_arg {
@@ -8715,6 +12080,9 @@ op {
         type: DT_INT16
         type: DT_INT8
         type: DT_INT64
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+        type: DT_BOOL
       }
     }
   }
@@ -8771,6 +12139,76 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "DeleteIterator"
+  input_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
+op {
+  name: "DeleteMemoryCache"
+  input_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
+op {
+  name: "DeleteMultiDeviceIterator"
+  input_arg {
+    name: "multi_device_iterator"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "iterators"
+    type: DT_RESOURCE
+    number_attr: "N"
+  }
+  input_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "N"
+    type: "int"
+    has_minimum: true
+  }
+  is_stateful: true
+}
+op {
+  name: "DeleteRandomSeedGenerator"
+  input_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
+op {
+  name: "DeleteSeedGenerator"
+  input_arg {
+    name: "handle"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "deleter"
+    type: DT_VARIANT
+  }
+  is_stateful: true
+}
 op {
   name: "DeleteSessionTensor"
   input_arg {
@@ -8779,6 +12217,148 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "DenseBincount"
+  input_arg {
+    name: "input"
+    type_attr: "Tidx"
+  }
+  input_arg {
+    name: "size"
+    type_attr: "Tidx"
+  }
+  input_arg {
+    name: "weights"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "Tidx"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+  attr {
+    name: "binary_output"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+}
+op {
+  name: "DenseCountSparseOutput"
+  input_arg {
+    name: "values"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "weights"
+    type_attr: "output_type"
+  }
+  output_arg {
+    name: "output_indices"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "output_values"
+    type_attr: "output_type"
+  }
+  output_arg {
+    name: "output_dense_shape"
+    type: DT_INT64
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "minlength"
+    type: "int"
+    default_value {
+      i: -1
+    }
+    has_minimum: true
+    minimum: -1
+  }
+  attr {
+    name: "maxlength"
+    type: "int"
+    default_value {
+      i: -1
+    }
+    has_minimum: true
+    minimum: -1
+  }
+  attr {
+    name: "binary_output"
+    type: "bool"
+  }
+  attr {
+    name: "output_type"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+}
+op {
+  name: "DenseToCSRSparseMatrix"
+  input_arg {
+    name: "dense_input"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "indices"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "sparse_output"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+}
 op {
   name: "DenseToDenseSetOperation"
   input_arg {
@@ -8828,6 +12408,37 @@ op {
     }
   }
 }
+op {
+  name: "DenseToSparseBatchDataset"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  input_arg {
+    name: "batch_size"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "row_shape"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+}
 op {
   name: "DenseToSparseSetOperation"
   input_arg {
@@ -8957,6 +12568,15 @@ op {
       list {
         s: "SAME"
         s: "VALID"
+        s: "EXPLICIT"
+      }
+    }
+  }
+  attr {
+    name: "explicit_paddings"
+    type: "list(int)"
+    default_value {
+      list {
       }
     }
   }
@@ -9027,6 +12647,15 @@ op {
       list {
         s: "SAME"
         s: "VALID"
+        s: "EXPLICIT"
+      }
+    }
+  }
+  attr {
+    name: "explicit_paddings"
+    type: "list(int)"
+    default_value {
+      list {
       }
     }
   }
@@ -9097,6 +12726,15 @@ op {
       list {
         s: "SAME"
         s: "VALID"
+        s: "EXPLICIT"
+      }
+    }
+  }
+  attr {
+    name: "explicit_paddings"
+    type: "list(int)"
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@@ -15579,6 +21251,1040 @@ op {
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@@ -18293,6 +25406,35 @@ op {
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@@ -20142,6 +27668,62 @@ op {
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@@ -20197,6 +27779,124 @@ op {
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@@ -29002,6 +43885,132 @@ op {
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@@ -29818,6 +44850,7 @@ op {
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@@ -29854,6 +44887,7 @@ op {
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@@ -29910,6 +44944,73 @@ op {
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@@ -30114,6 +45258,44 @@ op {
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@@ -30186,6 +45368,64 @@ op {
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@@ -30229,6 +45469,89 @@ op {
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+}
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@@ -30480,6 +45803,33 @@ op {
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@@ -30513,6 +45863,41 @@ op {
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@@ -30528,6 +45913,251 @@ op {
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@@ -31299,6 +46929,89 @@ op {
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 }
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+}
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@@ -31481,6 +47194,13 @@ op {
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 op {
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@@ -31574,6 +47294,13 @@ op {
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     }
   }
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@@ -31902,6 +47629,62 @@ op {
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 }
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@@ -32011,6 +47794,81 @@ op {
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 }
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@@ -32104,6 +47962,142 @@ op {
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 }
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@@ -32379,6 +48373,324 @@ op {
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 }
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   name: "UnicodeDecode"
   input_arg {
@@ -37772,7 +56593,7 @@ op {
   }
   output_arg {
     name: "row_splits"
-    type: DT_INT64
+    type_attr: "Tsplits"
   }
   output_arg {
     name: "char_values"
@@ -37810,6 +56631,19 @@ op {
       b: false
     }
   }
+  attr {
+    name: "Tsplits"
+    type: "type"
+    default_value {
+      type: DT_INT64
+    }
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
 }
 op {
   name: "UnicodeDecodeWithOffsets"
@@ -37819,7 +56653,7 @@ op {
   }
   output_arg {
     name: "row_splits"
-    type: DT_INT64
+    type_attr: "Tsplits"
   }
   output_arg {
     name: "char_values"
@@ -37861,6 +56695,19 @@ op {
       b: false
     }
   }
+  attr {
+    name: "Tsplits"
+    type: "type"
+    default_value {
+      type: DT_INT64
+    }
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
 }
 op {
   name: "UnicodeEncode"
@@ -37870,7 +56717,7 @@ op {
   }
   input_arg {
     name: "input_splits"
-    type: DT_INT64
+    type_attr: "Tsplits"
   }
   output_arg {
     name: "output"
@@ -37908,6 +56755,19 @@ op {
       i: 65533
     }
   }
+  attr {
+    name: "Tsplits"
+    type: "type"
+    default_value {
+      type: DT_INT64
+    }
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
 }
 op {
   name: "UnicodeScript"
@@ -38062,6 +56922,29 @@ op {
     }
   }
 }
+op {
+  name: "UniqueDataset"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+}
 op {
   name: "UniqueV2"
   input_arg {
@@ -38256,6 +57139,55 @@ op {
     }
   }
 }
+op {
+  name: "UnsortedSegmentJoin"
+  input_arg {
+    name: "inputs"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "segment_ids"
+    type_attr: "Tindices"
+  }
+  input_arg {
+    name: "num_segments"
+    type_attr: "Tnumsegments"
+  }
+  output_arg {
+    name: "output"
+    type: DT_STRING
+  }
+  attr {
+    name: "separator"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  attr {
+    name: "Tindices"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+  attr {
+    name: "Tnumsegments"
+    type: "type"
+    default_value {
+      type: DT_INT32
+    }
+    allowed_values {
+      list {
+        type: DT_INT32
+        type: DT_INT64
+      }
+    }
+  }
+}
 op {
   name: "UnsortedSegmentMax"
   input_arg {
@@ -38629,6 +57561,14 @@ op {
     name: "shape"
     type: "shape"
   }
+  attr {
+    name: "allowed_devices"
+    type: "list(string)"
+    default_value {
+      list {
+      }
+    }
+  }
   is_stateful: true
 }
 op {
@@ -38801,6 +57741,13 @@ op {
       }
     }
   }
+  attr {
+    name: "parallel_iterations"
+    type: "int"
+    default_value {
+      i: 10
+    }
+  }
   is_stateful: true
 }
 op {
@@ -38887,6 +57834,18 @@ op {
     minimum: 1
   }
 }
+op {
+  name: "WorkerHeartbeat"
+  input_arg {
+    name: "request"
+    type: DT_STRING
+  }
+  output_arg {
+    name: "response"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
 op {
   name: "WrapDatasetVariant"
   input_arg {
@@ -38941,6 +57900,7 @@ op {
     name: "contents"
     type: DT_STRING
   }
+  is_stateful: true
 }
 op {
   name: "WriteGraphSummary"
@@ -39048,6 +58008,22 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "WriteRawProtoSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tensor"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
 op {
   name: "WriteScalarSummary"
   input_arg {
@@ -39144,6 +58120,124 @@ op {
     }
   }
 }
+op {
+  name: "XlaHostCompute"
+  input_arg {
+    name: "inputs"
+    type_list_attr: "Tinputs"
+  }
+  output_arg {
+    name: "outputs"
+    type_list_attr: "Toutputs"
+  }
+  attr {
+    name: "Tinputs"
+    type: "list(type)"
+    has_minimum: true
+  }
+  attr {
+    name: "Toutputs"
+    type: "list(type)"
+    has_minimum: true
+  }
+  attr {
+    name: "ancestors"
+    type: "list(string)"
+    has_minimum: true
+  }
+  attr {
+    name: "shapes"
+    type: "list(shape)"
+    has_minimum: true
+  }
+  attr {
+    name: "shape_inference_graph"
+    type: "func"
+  }
+  attr {
+    name: "key"
+    type: "string"
+  }
+  attr {
+    name: "cost_estimate_ns"
+    type: "int"
+    default_value {
+      i: 1000000
+    }
+  }
+  attr {
+    name: "tpu_core"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "XlaRecvFromHost"
+  output_arg {
+    name: "output"
+    type_attr: "Toutput"
+  }
+  attr {
+    name: "Toutput"
+    type: "type"
+  }
+  attr {
+    name: "shape"
+    type: "shape"
+  }
+  attr {
+    name: "key"
+    type: "string"
+  }
+  is_stateful: true
+}
+op {
+  name: "XlaSendToHost"
+  input_arg {
+    name: "input"
+    type_attr: "Tinput"
+  }
+  attr {
+    name: "Tinput"
+    type: "type"
+  }
+  attr {
+    name: "key"
+    type: "string"
+  }
+  is_stateful: true
+}
+op {
+  name: "Xlog1py"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+}
 op {
   name: "Xlogy"
   input_arg {
@@ -39241,4 +58335,4 @@ op {
     has_minimum: true
     minimum: 1
   }
-}
\ No newline at end of file
+}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/pom.xml b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/pom.xml
index c20e4553a..d16dd9088 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/pom.xml
@@ -1,44 +1,44 @@
-
+
+
+
+
 
-
-    
-        nd4j-api-parent
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j-api-parent
+        1.0.0-SNAPSHOT
+    
+
     nd4j-native-api
-    jar
 
     nd4j-native-api
 
-
-
     
         
             org.nd4j
             nd4j-api
-            ${project.version}
-        
-        
-            org.bytedeco
-            javacpp
-            ${javacpp.version}
         
     
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/autodiff/execution/NativeGraphExecutioner.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/autodiff/execution/NativeGraphExecutioner.java
index 12088f027..fc8b2022b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/autodiff/execution/NativeGraphExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/autodiff/execution/NativeGraphExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.autodiff.execution;
 
@@ -44,9 +48,6 @@ import java.io.File;
 import java.nio.ByteBuffer;
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class NativeGraphExecutioner implements GraphExecutioner {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/AbstractCompressor.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/AbstractCompressor.java
index ca0cd6216..485d55ae3 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/AbstractCompressor.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/AbstractCompressor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.compression.impl;
 
@@ -30,9 +34,6 @@ import org.nd4j.linalg.compression.NDArrayCompressor;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.common.util.ArrayUtil;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract class AbstractCompressor implements NDArrayCompressor {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/Gzip.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/Gzip.java
index c36ffa8ec..842d4f9a0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/Gzip.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/Gzip.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.compression.impl;
 
@@ -34,9 +38,6 @@ import java.io.DataOutputStream;
 import java.util.zip.GZIPInputStream;
 import java.util.zip.GZIPOutputStream;
 
-/**
- * @author raver119@gmail.com
- */
 public class Gzip extends AbstractCompressor {
     /**
      * This method returns compression descriptor. It should be unique for any compressor implementation
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/NoOp.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/NoOp.java
index b4732966b..925652133 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/NoOp.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/compression/impl/NoOp.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.compression.impl;
 
@@ -29,11 +33,6 @@ import org.nd4j.linalg.compression.CompressionType;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.api.memory.MemcpyDirection;
 
-/**
- * Dummy NoOp compressor, that actually does no compression.
- *
- * @author raver119@gmail.com
- */
 public class NoOp extends AbstractCompressor {
     /**
      * This method returns compression descriptor. It should be unique for any compressor implementation
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java
index 66fd77ca4..007440720 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -41,11 +45,6 @@ import java.nio.charset.Charset;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Base class with {@link NativeOps}
- *
- * @author Adam Gibson
- */
 @Slf4j
 public abstract class BaseNativeNDArrayFactory extends BaseNDArrayFactory {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/LongPointerWrapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/LongPointerWrapper.java
index fe0951e98..62f0b0667 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/LongPointerWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/LongPointerWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeLapack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeLapack.java
index cde31353d..5eb5c3f82 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeLapack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeLapack.java
@@ -1,25 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
 
-/**
- * Created by agibsonccc on 2/20/16.
- */
 public class NativeLapack {
 
     public NativeLapack() {}
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOps.java
index 0861c4e1b..426b31407 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOps.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -20,11 +24,6 @@ import org.bytedeco.javacpp.*;
 import org.bytedeco.javacpp.annotation.Cast;
 
 
-/**
- * Native interface for
- * op execution on cpu
- * @author Adam Gibson
- */
 public interface NativeOps {
     /**
      * This method allows you to specify minimal number of elements per thread/block during op call
@@ -1149,6 +1148,8 @@ public interface NativeOps {
 
     OpaqueConstantShapeBuffer shapeBuffer(int rank, LongPointer shape, LongPointer strides, int dtype, char order, long ews, boolean empty);
 
+    OpaqueConstantShapeBuffer shapeBufferEx(int rank, LongPointer shape, LongPointer strides, int dtype, char order, long ews, long extras);
+
     OpaqueConstantDataBuffer constantBufferDouble(int dtype, DoublePointer data, int length);
 
     OpaqueConstantDataBuffer constantBufferLong(int dtype, LongPointer data, int length);
@@ -1242,4 +1243,11 @@ public interface NativeOps {
     int  dbDeviceId(OpaqueDataBuffer dataBuffer);
     void  dbSetDeviceId(OpaqueDataBuffer dataBuffer, int deviceId);
     void dbExpand(OpaqueDataBuffer dataBuffer, long newLength);
+
+    /**
+     * Gets the build information of the backend
+     *
+     * @return
+     */
+    String buildInfo();
 }
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsGPUInfoProvider.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsGPUInfoProvider.java
index 777f5dff0..3f2dc0a08 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsGPUInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsGPUInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsHolder.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsHolder.java
index 5fad1d18e..a1eda8e66 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsHolder.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/NativeOpsHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -28,10 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-/**
- * @author raver119@gmail.com
- * @author saudet
- */
 public class NativeOpsHolder {
     private static Logger log = LoggerFactory.getLogger(NativeOpsHolder.class);
     private static final NativeOpsHolder INSTANCE = new NativeOpsHolder();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/Nd4jBlas.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/Nd4jBlas.java
index 52955befb..23ab8ed90 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/Nd4jBlas.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/Nd4jBlas.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -24,12 +28,6 @@ import org.nd4j.common.config.ND4JSystemProperties;
 import org.nd4j.linalg.api.blas.Blas;
 
 
-/**
- * CBlas bindings
- *
- * Original credit:
- * https://github.com/uncomplicate/neanderthal-atlas
- */
 @Slf4j
 public abstract class Nd4jBlas implements Blas {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantDataBuffer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantDataBuffer.java
index 8e198c186..79565820f 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantShapeBuffer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantShapeBuffer.java
index 977747fb6..b1aede386 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantShapeBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueConstantShapeBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueContext.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueContext.java
index 058649c02..c1ac26eee 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueContext.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueDataBuffer.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueDataBuffer.java
index 2a87d706d..b4a20aae8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueDataBuffer.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -22,12 +25,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.bytedeco.javacpp.Pointer;
 import org.nd4j.linalg.api.buffer.DataType;
 
-/**
- * This class is a opaque pointer to InteropDataBuffer, used for Java/C++ interop related to INDArray DataBuffer
- *
- * @author saudet
- * @author raver119@gmail.com
- */
 @Slf4j
 public class OpaqueDataBuffer extends Pointer {
     // TODO: make this configurable
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueLaunchContext.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueLaunchContext.java
index d5f3df5e8..2d5c963e8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueLaunchContext.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueLaunchContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueRandomGenerator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueRandomGenerator.java
index b76015285..14ab964d9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueRandomGenerator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueRandomGenerator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueResultWrapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueResultWrapper.java
index 331bf465c..27a704e7c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueResultWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueResultWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueShapeList.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueShapeList.java
index b290d88cf..971e408f9 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueShapeList.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueShapeList.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueTadPack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueTadPack.java
index a959fd375..ba9033bd7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueTadPack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueTadPack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariable.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariable.java
index 6051e81a2..741acf696 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariable.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariablesSet.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariablesSet.java
index 78c7fddb8..dcf9ab5b0 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariablesSet.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/OpaqueVariablesSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/PointerPointerWrapper.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/PointerPointerWrapper.java
index 564978fe3..47775c399 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/PointerPointerWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/PointerPointerWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/ResultWrapperAbstraction.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/ResultWrapperAbstraction.java
index ad73a7fbc..a828f169b 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/ResultWrapperAbstraction.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/ResultWrapperAbstraction.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/NativeRandom.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/NativeRandom.java
index 04f9c7499..4d144414e 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/NativeRandom.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/NativeRandom.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.rng;
 
@@ -28,11 +32,6 @@ import org.nd4j.nativeblas.NativeOps;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Basic NativeRandom implementation
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract class NativeRandom implements Random {
     protected NativeOps nativeOps;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/GarbageStateReference.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/GarbageStateReference.java
index 4e3c67267..bbf81f2e7 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/GarbageStateReference.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/GarbageStateReference.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.rng.deallocator;
 
@@ -22,11 +26,6 @@ import org.bytedeco.javacpp.Pointer;
 import java.lang.ref.ReferenceQueue;
 import java.lang.ref.WeakReference;
 
-/**
- * Weak reference for NativeRandom garbage collector
- *
- * @author raver119@gmail.com
- */
 public class GarbageStateReference extends WeakReference {
     @Getter
     private Pointer statePointer;
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativePack.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativePack.java
index 728f6704b..3eacdf92c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativePack.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativePack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.rng.deallocator;
 
@@ -20,11 +24,6 @@ import lombok.AllArgsConstructor;
 import lombok.Data;
 import org.bytedeco.javacpp.Pointer;
 
-/**
- * Simple wrapper for state pointer, to avoid enqueue of non-initialized objects
- *
- * @author raver119@gmail.com
- */
 @Data
 @AllArgsConstructor
 public class NativePack {
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativeRandomDeallocator.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativeRandomDeallocator.java
index 3387d16d4..362989583 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativeRandomDeallocator.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/rng/deallocator/NativeRandomDeallocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.rng.deallocator;
 
@@ -27,11 +31,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.locks.LockSupport;
 
-/**
- * Since NativeRandom assumes some native resources, we have to track their use, and deallocate them as soon they are released by JVM GC
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class NativeRandomDeallocator {
     private static final NativeRandomDeallocator INSTANCE = new NativeRandomDeallocator();
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/storage/CompressedRamStorage.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/storage/CompressedRamStorage.java
index be33ca4be..73b3f2c66 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/storage/CompressedRamStorage.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/storage/CompressedRamStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.storage;
 
@@ -27,14 +31,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * AbstractStorage implementation, with Integer as key.
- * Primary goal is storage of individual rows/slices in system ram, even if working in GPU environment
- *
- * This implementation IS thread-safe, so it can be easily used together with ParallelWrapper
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CompressedRamStorage implements AbstractStorage {
 
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.common.base.PreconditionsFormat b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.common.base.PreconditionsFormat
index ab875b21d..df6002802 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.common.base.PreconditionsFormat
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.common.base.PreconditionsFormat
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
index 49cb8c6d0..4cba29246 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.systeminfo.GPUInfoProvider b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.systeminfo.GPUInfoProvider
index cd932c4f0..ec4ae9754 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.systeminfo.GPUInfoProvider
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/resources/META-INF/services/org.nd4j.systeminfo.GPUInfoProvider
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2019 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/pom.xml b/nd4j/nd4j-backends/nd4j-api-parent/pom.xml
index f401fd1f9..167405584 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-api-parent/pom.xml
@@ -1,26 +1,35 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        nd4j-backends
         org.nd4j
+        nd4j-backends
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-api-parent
     pom
@@ -32,6 +41,14 @@
         nd4j-api
     
 
+    
+        
+            org.bytedeco
+            javacpp
+            ${javacpp.version}
+        
+    
+
     
         
             testresources
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-platform/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-platform/pom.xml
index a833de44c..ac9fcd590 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-platform/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-platform/pom.xml
@@ -1,26 +1,35 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        nd4j-backend-impls
         org.nd4j
+        nd4j-backend-impls
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-cuda-11.0-platform
     nd4j-cuda-platform
@@ -39,7 +48,6 @@
             cuda-platform
             ${cuda.version}-${cudnn.version}-${javacpp-presets.cuda.version}
         
-
         
             ${project.groupId}
             ${nd4j.backend}
@@ -70,5 +78,4 @@
             testresources
         
     
-
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/pom.xml
new file mode 100644
index 000000000..2e3c63dad
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/pom.xml
@@ -0,0 +1,288 @@
+
+
+
+
+
+    4.0.0
+
+    
+        org.nd4j
+        nd4j-backend-impls
+        1.0.0-SNAPSHOT
+    
+
+    nd4j-cuda-11.0-preset
+
+    nd4j-cuda-preset
+
+    
+        
+        11.0
+        8.0
+        1.5.4
+    
+
+    
+        
+            ${dependency.groupId}
+            ${dependency.artifactId}
+            ${dependency.version}
+            ${dependency.packaging}
+            ${dependency.classifier}
+        
+        
+            org.springframework
+            spring-core
+            5.0.2.RELEASE
+            test
+        
+        
+            org.bytedeco
+            javacpp
+        
+        
+            org.bytedeco
+            javacpp
+            ${dependency.platform}
+        
+        
+            org.bytedeco
+            cuda
+            ${cuda.version}-${cudnn.version}-${javacpp-presets.cuda.version}
+        
+        
+            org.bytedeco
+            cuda
+            ${cuda.version}-${cudnn.version}-${javacpp-presets.cuda.version}
+            ${dependency.platform}
+        
+
+        
+            junit
+            junit
+        
+        
+            org.nd4j
+            nd4j-api
+        
+        
+            org.nd4j
+            nd4j-native-api
+        
+        
+            ch.qos.logback
+            logback-classic
+            test
+        
+        
+            ch.qos.logback
+            logback-core
+            test
+        
+        
+        
+            org.reflections
+            reflections
+            ${reflections.version}
+            test
+            
+                
+                    com.google.code.findbugs
+                    *
+                
+            
+        
+        
+            org.nd4j
+            nd4j-common-tests
+            ${project.version}
+            test
+        
+    
+
+    
+        
+            
+                org.apache.maven.plugins
+                maven-compiler-plugin
+                
+                    
+                        javacpp-parser
+                        generate-sources
+                        
+                            compile
+                        
+                        
+                            ${javacpp.parser.skip}
+                            
+                                org/nd4j/nativeblas/**.java
+                            
+                        
+                    
+                
+                
+                    8
+                    8
+                
+            
+
+            
+                maven-jar-plugin
+            
+            
+                org.apache.maven.plugins
+                maven-surefire-plugin
+            
+            
+                org.apache.maven.plugins
+                maven-enforcer-plugin
+                
+                    
+                        libnd4j-checks
+                        
+                            enforce
+                        
+                        
+                            
+                                
+                                    libnd4jhome
+                                    You must set the LIBND4J_HOME environment variable!
+                                    
+                                    .*/.*
+                                    !!! LIBND4J_HOME must be a valid unix path!
+                                    
+                                
+                                
+                                    
+                                        ${libnd4jhome}/include/legacy/NativeOps.h
+                                        ${libnd4jhome}/blasbuild/cuda/blas
+                                    
+                                    !!! You have to compile libnd4j with cuda support
+                                        first!
+                                    
+                                
+                            
+                            true
+                        
+                    
+                
+            
+        
+    
+
+    
+        
+            testresources
+        
+        
+            msvc
+            
+                
+                    windows
+                
+            
+            
+                
+                    
+                        org.bytedeco
+                        javacpp
+                        
+                            ${javacpp.platform}
+                            
+                                /MT
+                            
+                        
+                    
+                
+            
+        
+        
+            libnd4j-assembly
+            
+                
+                    libnd4j-assembly
+                
+            
+            
+                ${project.build.directory}/libnd4j/
+            
+            
+                
+                    org.nd4j
+                    libnd4j
+                    ${project.version}
+                    zip
+                    ${javacpp.platform}-cuda-${cuda.version}
+                
+            
+            
+                
+                    
+                        org.apache.maven.plugins
+                        maven-enforcer-plugin
+                        
+                            
+                                libnd4j-checks
+                                
+                                    enforce
+                                
+                                
+                                    true
+                                
+                            
+                        
+                    
+                    
+                        org.apache.maven.plugins
+                        maven-dependency-plugin
+                        3.1.2
+                        
+                            
+                                unpack
+                                initialize
+                                
+                                    unpack
+                                
+                                
+                                    
+                                        
+                                            org.nd4j
+                                            libnd4j
+                                            ${project.version}
+                                            zip
+                                            ${javacpp.platform}-cuda-${cuda.version}
+                                            
+                                            true
+                                            ${project.build.directory}
+                                            
+                                        
+                                    
+                                
+                            
+                        
+                    
+                
+            
+        
+    
+
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCudaHelper.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/java/org/nd4j/nativeblas/Nd4jCudaHelper.java
similarity index 79%
rename from nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCudaHelper.java
rename to nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/java/org/nd4j/nativeblas/Nd4jCudaHelper.java
index f1877d707..39de49c5e 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCudaHelper.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/java/org/nd4j/nativeblas/Nd4jCudaHelper.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCudaPresets.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/java/org/nd4j/nativeblas/Nd4jCudaPresets.java
similarity index 92%
rename from nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCudaPresets.java
rename to nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/java/org/nd4j/nativeblas/Nd4jCudaPresets.java
index db09d9625..ab2cc0550 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCudaPresets.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/java/org/nd4j/nativeblas/Nd4jCudaPresets.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -96,7 +100,9 @@ import org.bytedeco.javacpp.tools.InfoMapper;
                         "array/TadDescriptor.h",
                         "array/TadPack.h",
                         "helpers/DebugInfo.h",
-                        "ops/declarable/CustomOperations.h"},
+                        "ops/declarable/CustomOperations.h",
+                        "build_info.h",
+                    },
                         exclude = {"ops/declarable/headers/activations.h",
                                 "ops/declarable/headers/boolean.h",
                                 "ops/declarable/headers/broadcastable.h",
@@ -159,7 +165,7 @@ public class Nd4jCudaPresets implements LoadEnabled, InfoMapper {
     public void map(InfoMap infoMap) {
         infoMap.put(new Info("thread_local", "ND4J_EXPORT", "INLINEDEF", "CUBLASWINAPI", "FORCEINLINE",
                              "_CUDA_H", "_CUDA_D", "_CUDA_G", "_CUDA_HD", "LIBND4J_ALL_OPS", "NOT_EXCLUDED").cppTypes().annotations())
-                .put(new Info("NativeOps.h").objectify())
+                .put(new Info("NativeOps.h", "build_info.h").objectify())
                 .put(new Info("OpaqueTadPack").pointerTypes("OpaqueTadPack"))
                 .put(new Info("OpaqueResultWrapper").pointerTypes("OpaqueResultWrapper"))
                 .put(new Info("OpaqueShapeList").pointerTypes("OpaqueShapeList"))
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
new file mode 100644
index 000000000..d5f00cfeb
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
@@ -0,0 +1,274 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+################################################################################
+# Copyright (c) 2015-2018 Skymind, Inc.
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
new file mode 100644
index 000000000..6f4d184d1
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
@@ -0,0 +1,276 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+################################################################################
+# Copyright (c) 2015-2018 Skymind, Inc.
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
+
+org.nd4j.linalg.jcublas.JCublasBackend
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/cudafunctions.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/cudafunctions.properties
new file mode 100644
index 000000000..72414e7b2
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/cudafunctions.properties
@@ -0,0 +1,25 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+org.nd4j.linalg.jcuda.jcublas.functions=broadcast,indexReduce,reduce,reduce3,transform,pairWiseTransform,scalar
+org.nd4j.linalg.jcuda.jcublas.threads =128
+org.nd4j.linalg.jcuda.jcublas.blocks = 512
+org.nd4j.linalg.jcuda.jcublas.sharedmem = 1024
+org.nd4j.linalg.jcuda.jcublas.ban_devices=-1
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/function_threads.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/function_threads.properties
new file mode 100644
index 000000000..032f834be
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/function_threads.properties
@@ -0,0 +1,21 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+iamax_strided = 1
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/native.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/native.properties
new file mode 100644
index 000000000..b19764350
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/native.properties
@@ -0,0 +1,22 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+org.nd4j.linalg.api.resources.maxallocated= 2000000000
+org.nd4j.linalg.api.resources.memoryratio=0.5
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/nd4j-jcublas.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/nd4j-jcublas.properties
new file mode 100644
index 000000000..4d5a152ac
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/src/main/resources/nd4j-jcublas.properties
@@ -0,0 +1,40 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+real.class.double = org.nd4j.linalg.jcublas.JCublasNDArray
+dtype = float
+blas.ops= org.nd4j.linalg.jcublas.JCublasWrapper
+native.ops= org.nd4j.nativeblas.Nd4jCuda
+ndarrayfactory.class = org.nd4j.linalg.jcublas.JCublasNDArrayFactory
+affinitymanager = org.nd4j.jita.concurrency.CudaAffinityManager
+memorymanager = org.nd4j.jita.memory.CudaMemoryManager
+ndarray.order = c
+databufferfactory = org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory
+shapeinfoprovider = org.nd4j.linalg.jcublas.CachedShapeInfoProvider
+constantsprovider = org.nd4j.jita.constant.CudaConstantHandler
+ndarray.copyops = true
+opexec= org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
+workspacemanager = org.nd4j.jita.workspace.CudaWorkspaceManager
+resourcemanager_state = true
+alloc = direct
+fft = org.nd4j.linalg.jcublas.fft.JcudaFft
+opexec.mode= native
+random=org.nd4j.linalg.jcublas.rng.CudaNativeRandom
+
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/valgrindCudaJava b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/valgrindCudaJava
new file mode 100644
index 000000000..819f4a54f
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/valgrindCudaJava
@@ -0,0 +1 @@
+cuda-memcheck  java -Djava.compiler=NONE $@
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/valgrindJava b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/valgrindJava
new file mode 100644
index 000000000..7efebd632
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda-preset/valgrindJava
@@ -0,0 +1 @@
+valgrind --track-origins=yes --leak-check=full -v --error-limit=no java -Djava.compiler=NONE $@
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/pom.xml
index b81def266..b8a27a9f6 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/pom.xml
@@ -1,28 +1,38 @@
-
+
+
+
+
 
-
-    
-        nd4j-backend-impls
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j-backend-impls
+        1.0.0-SNAPSHOT
+    
+
     nd4j-cuda-11.0
+
     nd4j-cuda
 
     
@@ -32,6 +42,90 @@
         1.5.4
     
 
+    
+        
+            org.nd4j
+            nd4j-cuda-11.0-preset
+            ${project.version}
+        
+
+        
+            ${dependency.groupId}
+            ${dependency.artifactId}
+            ${dependency.version}
+            ${dependency.packaging}
+            ${dependency.classifier}
+        
+        
+            org.springframework
+            spring-core
+            5.0.2.RELEASE
+            test
+        
+        
+            org.bytedeco
+            javacpp
+        
+        
+            org.bytedeco
+            javacpp
+            ${dependency.platform}
+        
+        
+            org.bytedeco
+            cuda
+            ${cuda.version}-${cudnn.version}-${javacpp-presets.cuda.version}
+        
+        
+            org.bytedeco
+            cuda-platform-redist
+            ${cuda.version}-${cudnn.version}-${javacpp-presets.cuda.version}
+            
+        
+
+        
+            junit
+            junit
+        
+        
+            org.nd4j
+            nd4j-api
+        
+        
+            org.nd4j
+            nd4j-native-api
+        
+        
+            ch.qos.logback
+            logback-classic
+            test
+        
+        
+            ch.qos.logback
+            logback-core
+            test
+        
+        
+        
+            org.reflections
+            reflections
+            ${reflections.version}
+            test
+            
+                
+                    com.google.code.findbugs
+                    *
+                
+            
+        
+        
+            org.nd4j
+            nd4j-common-tests
+            ${project.version}
+            test
+        
+    
+
     
         
             
@@ -46,15 +140,20 @@
                 
                 
                     
-                        ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cuda/blas/
+                        
+                            ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cuda/blas/
+                        
                     
                     src/test/java
                     
                         *.java
                     
                     
-                        org.nd4j.linalg.jcublas.JCublasBackend
-                        org.nd4j.linalg.jcublas.JCublasBackend
+                        org.nd4j.linalg.jcublas.JCublasBackend
+                        
+                        
+                            org.nd4j.linalg.jcublas.JCublasBackend
+                        
                     
                     
-        
-            junit
-            junit
-            test
-        
-        
-            org.nd4j
-            nd4j-api
-            ${project.version}
-        
-        
-            org.nd4j
-            nd4j-native-api
-            ${project.version}
-        
-        
-            ch.qos.logback
-            logback-classic
-            ${logback.version}
-            test
-        
-        
-            ch.qos.logback
-            logback-core
-            ${logback.version}
-            test
-        
-
-        
-        
-            org.reflections
-            reflections
-            ${reflections.version}
-            test
-            
-                
-                    com.google.code.findbugs
-                    *
-                
-            
-        
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
-    
-
     
         
             testresources
@@ -327,7 +335,9 @@
         
             msvc
             
-                windows
+                
+                    windows
+                
             
             
                 
@@ -344,7 +354,6 @@
                 
             
         
-
         
             libnd4j-assembly
             
@@ -384,7 +393,7 @@
                     
                         org.apache.maven.plugins
                         maven-dependency-plugin
-                        3.0.2
+                        3.1.2
                         
                             
                                 unpack
@@ -399,9 +408,11 @@
                                             libnd4j
                                             ${project.version}
                                             zip
-                                            ${javacpp.platform}-cuda-${cuda.version}
+                                            ${javacpp.platform}-cuda-${cuda.version}
+                                            
                                             true
-                                            ${project.build.directory}
+                                            ${project.build.directory}
+                                            
                                         
                                     
                                 
@@ -412,5 +423,4 @@
             
         
     
-
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/Allocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/Allocator.java
index df45f85e5..bd51f064a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/Allocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/Allocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/AtomicState.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/AtomicState.java
index 1925197a9..829dbd798 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/AtomicState.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/AtomicState.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.concurrency;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/DeviceAllocationsTracker.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/DeviceAllocationsTracker.java
index 7ecd22de4..ca2c54529 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/DeviceAllocationsTracker.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/DeviceAllocationsTracker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.concurrency;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/Lock.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/Lock.java
index 36ea29962..585c5144a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/Lock.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/Lock.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.concurrency;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/RRWLock.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/RRWLock.java
index a946ffe27..35aa72207 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/RRWLock.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/concurrency/RRWLock.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.concurrency;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AccessState.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AccessState.java
index 021e52c4d..cbee85b1e 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AccessState.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AccessState.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/Aggressiveness.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/Aggressiveness.java
index 69fba654f..de834ca40 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/Aggressiveness.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/Aggressiveness.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AllocationStatus.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AllocationStatus.java
index 82aca0d42..e848e55d0 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AllocationStatus.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/AllocationStatus.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/CudaConstants.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/CudaConstants.java
index 19965a92e..7e02b4fe1 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/CudaConstants.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/CudaConstants.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/SyncState.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/SyncState.java
index 428da38dc..a39e00465 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/SyncState.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/enums/SyncState.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.enums;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageBufferReference.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageBufferReference.java
index 91a163794..5374b5c4f 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageBufferReference.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageBufferReference.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.garbage;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageResourceReference.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageResourceReference.java
index fd566a73d..dcb14380b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageResourceReference.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/garbage/GarbageResourceReference.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.garbage;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationPoint.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationPoint.java
index 9ddab88d5..1b702eff1 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationPoint.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationPoint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationShape.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationShape.java
index 2d12522e0..0a1e802a1 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationShape.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AllocationShape.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AtomicAllocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AtomicAllocator.java
index 46964c8f4..8b95febe7 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AtomicAllocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/AtomicAllocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/CudaDeallocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/CudaDeallocator.java
index 74e06443a..12b2c7263 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/CudaDeallocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/CudaDeallocator.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/MemoryTracker.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/MemoryTracker.java
index c7eada206..e371643ed 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/MemoryTracker.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/MemoryTracker.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/NestedPoint.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/NestedPoint.java
index e423279ff..118c3628b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/NestedPoint.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/impl/NestedPoint.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/CudaPointer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/CudaPointer.java
index 8a0620cc0..73fca7aab 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/CudaPointer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/CudaPointer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.pointers;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/PointersPair.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/PointersPair.java
index bd958e224..00084cf1b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/PointersPair.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/PointersPair.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.pointers;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/CUcontext.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/CUcontext.java
index 0fe2ed5aa..6a6bff9b0 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/CUcontext.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/CUcontext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.pointers.cuda;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cublasHandle_t.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cublasHandle_t.java
index 305ef8d22..379d71a66 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cublasHandle_t.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cublasHandle_t.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.pointers.cuda;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaEvent_t.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaEvent_t.java
index de1920f0a..46a459704 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaEvent_t.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaEvent_t.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.pointers.cuda;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaStream_t.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaStream_t.java
index 7d9bfb629..34216a7e1 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaStream_t.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cudaStream_t.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.pointers.cuda;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cusolverDnHandle_t.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cusolverDnHandle_t.java
index f3e8fc740..e11a7d059 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cusolverDnHandle_t.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/pointers/cuda/cusolverDnHandle_t.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j.jita.allocator.pointers.cuda;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/BasicTADManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/BasicTADManager.java
index 981ffecdd..bc6a9d7f9 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/BasicTADManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/BasicTADManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.tad;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/DeviceTADManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/DeviceTADManager.java
index 4ad3e92aa..133a2044e 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/DeviceTADManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/tad/DeviceTADManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.tad;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/RateTimer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/RateTimer.java
index a465e8101..5866cd333 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/RateTimer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/RateTimer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/Ring.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/Ring.java
index cc8896e5c..64e8b177a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/Ring.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/Ring.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/TimeProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/TimeProvider.java
index 1186f0cbe..53f13955a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/TimeProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/TimeProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/BinaryTimer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/BinaryTimer.java
index 7b940464c..f71b46bf8 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/BinaryTimer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/BinaryTimer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/SimpleTimer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/SimpleTimer.java
index ec48ba4fc..1089ffdff 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/SimpleTimer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/impl/SimpleTimer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/MillisecondsProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/MillisecondsProvider.java
index 988335e09..471da179a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/MillisecondsProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/MillisecondsProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time.providers;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/NanosecondsProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/NanosecondsProvider.java
index 742b5239d..cdd010673 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/NanosecondsProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/NanosecondsProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time.providers;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/OperativeProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/OperativeProvider.java
index 7d40bf247..001796fae 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/OperativeProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/providers/OperativeProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time.providers;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/rings/LockedRing.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/rings/LockedRing.java
index 7b8b90381..86e6195f9 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/rings/LockedRing.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/time/rings/LockedRing.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.time.rings;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/utils/AllocationUtils.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/utils/AllocationUtils.java
index 40eb8e4a8..e8f137506 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/utils/AllocationUtils.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/allocator/utils/AllocationUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.allocator.utils;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/balance/Balancer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/balance/Balancer.java
index 8fceed28e..80b4c7fb7 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/balance/Balancer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/balance/Balancer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.balance;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/CudaAffinityManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/CudaAffinityManager.java
index 415fa487f..15f2cdba6 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/CudaAffinityManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/CudaAffinityManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.concurrency;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/EventsProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/EventsProvider.java
index 7cc3e6838..4e5ee96a8 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/EventsProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/concurrency/EventsProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.concurrency;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/Configuration.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/Configuration.java
index 49582f002..2b5b25dd9 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/Configuration.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/Configuration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.conf;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/CudaEnvironment.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/CudaEnvironment.java
index 28523fac7..8e324629b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/CudaEnvironment.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/CudaEnvironment.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.conf;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/DeviceInformation.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/DeviceInformation.java
index 450770262..74e388c81 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/DeviceInformation.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/conf/DeviceInformation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.conf;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ConstantProtector.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ConstantProtector.java
index 388f49136..b6c5dd03d 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ConstantProtector.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ConstantProtector.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.constant;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/CudaConstantHandler.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/CudaConstantHandler.java
index fc77ef349..1a616a3bb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/CudaConstantHandler.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/CudaConstantHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.constant;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaConstantHandler.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaConstantHandler.java
index b2e2a0361..e5be68a75 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaConstantHandler.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaConstantHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.constant;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaShapeInfoProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaShapeInfoProvider.java
index 13b26f363..b232f67d6 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaShapeInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/constant/ProtectedCudaShapeInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.constant;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/FlowController.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/FlowController.java
index f79ba3385..9abde7cf9 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/FlowController.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/FlowController.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.flow;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/GridFlowController.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/GridFlowController.java
index df93aa314..7dd2291e5 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/GridFlowController.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/GridFlowController.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.flow.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/SynchronousFlowController.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/SynchronousFlowController.java
index 030ccad30..a97d836ed 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/SynchronousFlowController.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/flow/impl/SynchronousFlowController.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.flow.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/MemoryHandler.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/MemoryHandler.java
index 44d8e2042..2a82f06e5 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/MemoryHandler.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/MemoryHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.handler;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/impl/CudaZeroHandler.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/impl/CudaZeroHandler.java
index 4056338a9..feb648962 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/impl/CudaZeroHandler.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/handler/impl/CudaZeroHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.handler.impl;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/CudaMemoryManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/CudaMemoryManager.java
index c7e8f800f..f47eb38f9 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/CudaMemoryManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/CudaMemoryManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.memory;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/MemoryProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/MemoryProvider.java
index 923e4d00b..e634a55cd 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/MemoryProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/memory/MemoryProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.memory;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspace.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspace.java
index a04dae5d5..f40102b6c 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspace.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.workspace;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceDeallocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceDeallocator.java
index cb07bb776..4c7b15450 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceDeallocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceDeallocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.workspace;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceManager.java
index b14e26eb5..2e3b4d453 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/jita/workspace/CudaWorkspaceManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.jita.workspace;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CachedShapeInfoProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CachedShapeInfoProvider.java
index e46650484..3fb92b838 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CachedShapeInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CachedShapeInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CublasPointer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CublasPointer.java
index d7109f5cb..9cd800ba6 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CublasPointer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/CublasPointer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasBackend.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasBackend.java
index f9ecde2d8..f0407bd2b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasBackend.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasBackend.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas;
 
@@ -27,7 +31,7 @@ import org.nd4j.common.io.ClassPathResource;
 import org.nd4j.common.io.Resource;
 import org.nd4j.nativeblas.CudaEnvironment;
 import org.nd4j.nativeblas.Nd4jCuda;
-
+import org.nd4j.nativeblas.NativeOpsHolder;
 import java.util.List;
 import java.util.Map;
 import java.util.Properties;
@@ -51,6 +55,7 @@ public class JCublasBackend extends Nd4jBackend {
             while (e.getCause() != null) {
                 e = e.getCause();
             }
+            e.printStackTrace();
             throw new RuntimeException(e);
         }
         return true;
@@ -93,6 +98,11 @@ public class JCublasBackend extends Nd4jBackend {
         return CudaEnvironment.getInstance();
     }
 
+    @Override
+    public String buildInfo() {
+        return NativeOpsHolder.getInstance().getDeviceNativeOps().buildInfo();
+    }
+
     @Override
     public void logBackendInit() {
         String logInitProperty = System.getProperty(ND4JSystemProperties.LOG_INITIALIZATION, "true");
@@ -118,6 +128,7 @@ public class JCublasBackend extends Nd4jBackend {
                     long totalMem = ((Number) dev.get(Nd4jEnvironment.CUDA_TOTAL_MEMORY_KEY)).longValue();
                     log.info("CUDA device {}: [{}]; cc: [{}.{}]; Total memory: [{}]", i, name, major, minor, totalMem);
                 }
+                log.info("Backend build information:\n {}", buildInfo()); 
             } catch (Throwable t) {
                 log.debug("Error logging CUDA backend versions and devices", t);
             }
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArray.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArray.java
index 95f36ee26..04dfb10cb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArray.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas;
 
@@ -410,6 +414,11 @@ public class JCublasNDArray extends BaseNDArray {
         super(data, shape, stride, offset, ordering);
     }
 
+    public JCublasNDArray(DataType dataType, long[] shape, long[] paddings, long[] paddingOffsets, char ordering,
+            MemoryWorkspace workspace){
+        super(dataType, shape, paddings, paddingOffsets, ordering, workspace);
+    }
+
     @Override
     public INDArray dup() {
         if (this.isCompressed() && this.ordering() == Nd4j.order().charValue()) {
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArrayFactory.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArrayFactory.java
index 4ed4ebf35..8a1369856 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArrayFactory.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArrayFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas;
 
@@ -1598,4 +1602,10 @@ public class JCublasNDArrayFactory extends BaseNativeNDArrayFactory {
     public INDArray sortCooIndices(INDArray x) {
         throw new UnsupportedOperationException();
     }
+
+    @Override
+    public INDArray create(DataType dataType, long[] shape, long[] paddings, long[] paddingOffsets, char ordering,
+            MemoryWorkspace workspace) { 
+        return new JCublasNDArray(dataType, shape, paddings, paddingOffsets, ordering, workspace);
+    }
 }
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasWrapper.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasWrapper.java
index 1b79f62dd..768c1f3db 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/CudaBlas.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/CudaBlas.java
index 624460b50..ca70f9489 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/CudaBlas.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/CudaBlas.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLapack.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLapack.java
index 3e3191f0d..52dea6dea 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLapack.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLapack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel1.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel1.java
index e19031e6c..e1be2f502 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel1.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel2.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel2.java
index 811a7ff42..8ba0c77b5 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel2.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel3.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel3.java
index ffd21a333..8299dbb6a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel3.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/blas/JcublasLevel3.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/AddressRetriever.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/AddressRetriever.java
index dfb20daf6..2c523325b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/AddressRetriever.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/AddressRetriever.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBuffer.java
index 132607cb8..b81a20efb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBfloat16DataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBfloat16DataBuffer.java
index d055a0824..7eddde576 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBfloat16DataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBfloat16DataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBoolDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBoolDataBuffer.java
index 4bbed0004..a1b6e7f0c 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBoolDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaBoolDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaByteDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaByteDataBuffer.java
index 9649f99c2..f6d5ac379 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaByteDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaByteDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaDoubleDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaDoubleDataBuffer.java
index c3e00d32b..6a9ef4b49 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaDoubleDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaDoubleDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaFloatDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaFloatDataBuffer.java
index 4e7b8b0f3..720f7d88d 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaFloatDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaFloatDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaHalfDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaHalfDataBuffer.java
index d15c6b07c..45521f138 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaHalfDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaHalfDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaIntDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaIntDataBuffer.java
index 488f9182e..4408d6de8 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaIntDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaIntDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaLongDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaLongDataBuffer.java
index 75156e694..d433e21c8 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaLongDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaLongDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaShortDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaShortDataBuffer.java
index 3a54513a7..3bba37f49 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaShortDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaShortDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUByteDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUByteDataBuffer.java
index 54ff947ff..a5b6be52a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUByteDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUByteDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt16DataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt16DataBuffer.java
index fc51b20a2..df877815d 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt16DataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt16DataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt32DataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt32DataBuffer.java
index b7aeeed48..092bd37fd 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt32DataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt32DataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt64DataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt64DataBuffer.java
index 242d1f482..454109b2f 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt64DataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUInt64DataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUtf8Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUtf8Buffer.java
index 4b2e160b7..096646312 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUtf8Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/CudaUtf8Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/DevicePointerInfo.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/DevicePointerInfo.java
index 77fd338c7..9c3eef8e6 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/DevicePointerInfo.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/DevicePointerInfo.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/JCudaBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/JCudaBuffer.java
index 9908ac0af..af66d3dbb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/JCudaBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/JCudaBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/factory/CudaDataBufferFactory.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/factory/CudaDataBufferFactory.java
index b30fa4652..9a0f82d81 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/factory/CudaDataBufferFactory.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/buffer/factory/CudaDataBufferFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.buffer.factory;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/ContextHolder.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/ContextHolder.java
index cab875700..7ecbaceb9 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/ContextHolder.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/ContextHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.context;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/CudaContext.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/CudaContext.java
index 826bb0797..00cdcfe15 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/CudaContext.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/context/CudaContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.context;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java
index d0cb48c62..58b6fcb2b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.ops.executioner;
 
@@ -2158,6 +2162,23 @@ public class CudaExecutioner extends DefaultOpExecutioner {
         return result;
     }
 
+    @Override
+    public DataBuffer createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, long extras) {
+        if (nativeOps.lastErrorCode() != 0)
+            throw new RuntimeException(nativeOps.lastErrorMessage());
+
+        val dbf = nativeOps.shapeBufferEx(shape.length, new LongPointer(shape), new LongPointer(stride), dtype.toInt(), order, elementWiseStride, extras);
+
+        if (nativeOps.lastErrorCode() != 0)
+            throw new RuntimeException(nativeOps.lastErrorMessage());
+
+        val result = new CudaLongDataBuffer(nativeOps.getConstantShapeBufferPrimary(dbf), nativeOps.getConstantShapeBufferSpecial(dbf), Shape.shapeInfoLength(shape.length));
+
+        nativeOps.deleteConstantShapeBuffer(dbf);
+
+        return result;
+    }
+
     @Override
     public TadPack tadShapeInfoAndOffsets(INDArray array, int[] dimension) {
         if (nativeOps.lastErrorCode() != 0)
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaGridExecutioner.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaGridExecutioner.java
index 77d264519..6b5f9b175 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaGridExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaGridExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.ops.executioner;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContext.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContext.java
index 23e96ee64..98bd1fb60 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContext.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.ops.executioner;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContextDeallocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContextDeallocator.java
index 62b5e4a00..70a107061 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContextDeallocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaOpContextDeallocator.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/aggregates/AggregateDescriptor.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/aggregates/AggregateDescriptor.java
index 9969b5a44..99d6bb38e 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/aggregates/AggregateDescriptor.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/aggregates/AggregateDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.ops.executioner.aggregates;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/rng/CudaNativeRandom.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/rng/CudaNativeRandom.java
index e5067c9c9..0401c35bd 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/rng/CudaNativeRandom.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/rng/CudaNativeRandom.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.rng;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/CudaArgs.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/CudaArgs.java
index 1922d9ced..a520c842e 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/CudaArgs.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/CudaArgs.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.util;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/FFTUtils.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/FFTUtils.java
index 0f26bf948..b991dc42b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/FFTUtils.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/FFTUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.util;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/OpUtil.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/OpUtil.java
index f1b020116..ca118e262 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/OpUtil.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/util/OpUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.jcublas.util;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/CudaEnvironment.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/CudaEnvironment.java
index de0cb0669..3e8de3480 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/CudaEnvironment.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/CudaEnvironment.java
@@ -1,10 +1,12 @@
 /* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
index 72e314156..d5f00cfeb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
@@ -1,3 +1,262 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
index a51288e74..6f4d184d1 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
@@ -1,3 +1,262 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/cudafunctions.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/cudafunctions.properties
index 256b44b92..72414e7b2 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/cudafunctions.properties
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/cudafunctions.properties
@@ -1,21 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-# TODO: This is old kernels, remove them before release
-# std_strided,var_strided,bias_strided,add_strided,sub_strided,mul_strided,div_strided,rsub_strided,rdiv_strided,neg_strided,tanh_strided,exp_strided,sigmoid_strided,log_strided,floor_strided,ceil_strided,abs_strided,pow_strided,sqrt_strided,sign_strided,sum_strided,prod_strided,norm1_strided,norm2_strided,normmax_strided,max_strided,min_strided,mean_strided,softmax_strided,add_scalar,sub_scalar,mul_scalar,div_scalar,rsub_scalar,rdiv_scalar,cosinesimilarity_strided,manhattan_strided,euclidean_strided,lessthan_scalar,lessthanorequal_scalar,gt_strided,lt_strided,greaterthan_scalar,greaterthanorequal_scalar,equals_scalar,set_scalar,notequals_scalar,max_scalar,min_scalar,eps_strided,setvalorless_scalar,copy_strided,setrange_strided,round_strided,set_scalar,iamax_strided,broadcastadd,broadcastsub,broadcastdiv,broadcastmul,broadcastcopy,broadcastrdiv,broadcastrsub,imin_strided,imax_strided
 
 org.nd4j.linalg.jcuda.jcublas.functions=broadcast,indexReduce,reduce,reduce3,transform,pairWiseTransform,scalar
 org.nd4j.linalg.jcuda.jcublas.threads =128
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/function_threads.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/function_threads.properties
index b8adbfeba..032f834be 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/function_threads.properties
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/function_threads.properties
@@ -1,17 +1,21 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 iamax_strided = 1
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/native.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/native.properties
index 051c19473..b19764350 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/native.properties
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/native.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 org.nd4j.linalg.api.resources.maxallocated= 2000000000
 org.nd4j.linalg.api.resources.memoryratio=0.5
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/nd4j-jcublas.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/nd4j-jcublas.properties
index 6d1dba3a1..4d5a152ac 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/nd4j-jcublas.properties
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/resources/nd4j-jcublas.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 real.class.double = org.nd4j.linalg.jcublas.JCublasNDArray
 dtype = float
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/DeviceLocalNDArrayTests.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/DeviceLocalNDArrayTests.java
index 66c77702e..dd1ba0130 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/DeviceLocalNDArrayTests.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/DeviceLocalNDArrayTests.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/impl/MemoryTrackerTest.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/impl/MemoryTrackerTest.java
index b67b2dd40..872afb7ad 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/impl/MemoryTrackerTest.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/allocator/impl/MemoryTrackerTest.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/workspace/CudaWorkspaceTest.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/workspace/CudaWorkspaceTest.java
index 7b572de9c..e24db6811 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/workspace/CudaWorkspaceTest.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/jita/workspace/CudaWorkspaceTest.java
@@ -1,10 +1,12 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.k.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBufferTest.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBufferTest.java
index 99ebc725b..fec115300 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBufferTest.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/test/java/org/nd4j/linalg/jcublas/buffer/BaseCudaDataBufferTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.linalg.jcublas.buffer;
 
 import lombok.extern.slf4j.Slf4j;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-platform/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-platform/pom.xml
index 7db1b458f..f8de8e06f 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-platform/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-platform/pom.xml
@@ -1,26 +1,35 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
         nd4j-backend-impls
         org.nd4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-native-platform
     nd4j-native-platform
@@ -121,5 +130,4 @@
             testresources
         
     
-
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/org.bytedecojavacpp1.5.4, b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/org.bytedecojavacpp1.5.4,
new file mode 100644
index 000000000..e69de29bb
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/pom.xml
new file mode 100644
index 000000000..e75b69649
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/pom.xml
@@ -0,0 +1,306 @@
+
+
+
+
+
+    4.0.0
+
+    
+        org.nd4j
+        nd4j-backend-impls
+        1.0.0-SNAPSHOT
+    
+
+    nd4j-native-preset
+
+    nd4j-native-preset
+
+    
+        
+            ${dependency.groupId}
+            ${dependency.artifactId}
+            ${dependency.version}
+            ${dependency.packaging}
+            ${dependency.classifier}
+        
+        
+            org.bytedeco
+            javacpp
+        
+        
+            org.bytedeco
+            javacpp
+            ${dependency.platform}
+        
+        
+            org.bytedeco
+            openblas
+            ${openblas.version}-${javacpp-presets.version}
+        
+        
+            org.bytedeco
+            openblas
+            ${openblas.version}-${javacpp-presets.version}
+            ${dependency.platform}
+        
+        
+            org.nd4j
+            nd4j-api
+        
+        
+            org.nd4j
+            nd4j-native-api
+        
+    
+
+    
+        
+            
+                org.apache.maven.plugins
+                maven-compiler-plugin
+                
+                    
+                        javacpp-parser
+                        generate-sources
+                        
+                            compile
+                        
+                        
+                            ${javacpp.parser.skip}
+                            
+                                org/nd4j/nativeblas/**.java
+                            
+                        
+                    
+                
+                
+                    8
+                    8
+                
+            
+            
+                maven-jar-plugin
+            
+            
+                org.apache.maven.plugins
+                maven-enforcer-plugin
+                
+                    
+                        libnd4j-checks
+                        
+                            enforce
+                        
+                        
+                            
+                                
+                                    libnd4jhome
+                                    You must set the LIBND4J_HOME environment variable!
+                                    
+                                    .*/.*
+                                    !!! LIBND4J_HOME must be a valid unix path!
+                                    
+                                
+                                
+                                    
+                                        ${libnd4jhome}/include/legacy/NativeOps.h
+                                        ${libnd4jhome}/blasbuild/cpu/blas
+                                    
+                                    !!! You have to compile libnd4j with cpu support
+                                        first!
+                                    
+                                
+                            
+                            true
+                        
+                    
+                
+            
+        
+    
+
+    
+        
+            mkl
+            
+                
+                    os.arch
+                    x86_64
+                
+            
+            
+                
+                    org.bytedeco
+                    mkl
+                    ${mkl.version}-${javacpp-presets.version}
+                
+                
+                    org.bytedeco
+                    mkl
+                    ${mkl.version}-${javacpp-presets.version}
+                    ${dependency.platform2}
+                
+            
+        
+        
+            testresources
+        
+        
+            avx2
+            
+                
+                    libnd4j.extension
+                    avx2
+                
+            
+            
+                -avx2
+            
+        
+        
+            avx512
+            
+                
+                    libnd4j.extension
+                    avx512
+                
+            
+            
+                -avx512
+            
+        
+        
+            mingw
+            
+                
+                    windows
+                
+                
+                    !javacpp.platform
+                
+            
+            
+                
+                    
+                        org.bytedeco
+                        javacpp
+                        
+                            ${javacpp.platform}-mingw
+                        
+                    
+                
+            
+        
+        
+            mingw-windows-platform
+            
+                
+                    windows
+                
+                
+                    javacpp.platform
+                    windows-x86_64
+                
+            
+            
+                
+                    
+                        org.bytedeco
+                        javacpp
+                        
+                            ${javacpp.platform}-mingw
+                        
+                    
+                
+            
+        
+        
+            libnd4j-assembly
+            
+                
+                    libnd4j-assembly
+                
+            
+            
+                ${project.build.directory}/libnd4j/
+            
+            
+                
+                    org.nd4j
+                    libnd4j
+                    ${project.version}
+                    zip
+                    ${javacpp.platform}${javacpp.platform.extension}
+                
+            
+            
+                
+                    
+                        org.apache.maven.plugins
+                        maven-enforcer-plugin
+                        
+                            
+                                libnd4j-checks
+                                
+                                    enforce
+                                
+                                
+                                    true
+                                
+                            
+                        
+                    
+                    
+                        org.apache.maven.plugins
+                        maven-dependency-plugin
+                        3.1.2
+                        
+                            
+                                unpack
+                                initialize
+                                
+                                    unpack
+                                
+                                
+                                    
+                                        
+                                            org.nd4j
+                                            libnd4j
+                                            ${project.version}
+                                            zip
+                                            
+                                                ${javacpp.platform}${javacpp.platform.extension}
+                                            
+                                            true
+                                            ${project.build.directory}
+                                            
+                                        
+                                    
+                                
+                            
+                        
+                    
+                
+            
+        
+    
+
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/java/org/nd4j/nativeblas/Nd4jCpuHelper.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/java/org/nd4j/nativeblas/Nd4jCpuHelper.java
new file mode 100644
index 000000000..b31557ac5
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/java/org/nd4j/nativeblas/Nd4jCpuHelper.java
@@ -0,0 +1,24 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.nativeblas;
+
+public abstract class Nd4jCpuHelper extends Nd4jCpuPresets implements NativeOps {
+}
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpuPresets.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/java/org/nd4j/nativeblas/Nd4jCpuPresets.java
similarity index 94%
rename from nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpuPresets.java
rename to nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/java/org/nd4j/nativeblas/Nd4jCpuPresets.java
index f10410314..a4e3865eb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpuPresets.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/java/org/nd4j/nativeblas/Nd4jCpuPresets.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.nativeblas;
 
@@ -50,6 +54,7 @@ import java.util.Scanner;
                                               "system/Environment.h",
                                               "types/utf8string.h",
                                               "legacy/NativeOps.h",
+                                              "build_info.h",
                                               "memory/ExternalWorkspace.h",
                                               "memory/Workspace.h",
                                               "indexing/NDIndex.h",
@@ -161,7 +166,7 @@ public class Nd4jCpuPresets implements InfoMapper, BuildEnabled {
     public void map(InfoMap infoMap) {
         infoMap.put(new Info("thread_local", "ND4J_EXPORT", "INLINEDEF", "CUBLASWINAPI", "FORCEINLINE",
                              "_CUDA_H", "_CUDA_D", "_CUDA_G", "_CUDA_HD", "LIBND4J_ALL_OPS", "NOT_EXCLUDED").cppTypes().annotations())
-                        .put(new Info("NativeOps.h").objectify())
+                        .put(new Info("NativeOps.h", "build_info.h").objectify())
                         .put(new Info("OpaqueTadPack").pointerTypes("OpaqueTadPack"))
                         .put(new Info("OpaqueResultWrapper").pointerTypes("OpaqueResultWrapper"))
                         .put(new Info("OpaqueShapeList").pointerTypes("OpaqueShapeList"))
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
new file mode 100644
index 000000000..513a2ec82
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
@@ -0,0 +1,256 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+################################################################################
+# Copyright (c) 2015-2018 Skymind, Inc.
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
+
+org.nd4j.linalg.cpu.nativecpu.compression.CpuThreshold
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
new file mode 100644
index 000000000..0f7564a44
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
@@ -0,0 +1,256 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+################################################################################
+# Copyright (c) 2015-2018 Skymind, Inc.
+#
+# This program and the accompanying materials are made available under the
+# terms of the Apache License, Version 2.0 which is available at
+# https://www.apache.org/licenses/LICENSE-2.0.
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+################################################################################
+
+org.nd4j.linalg.cpu.nativecpu.CpuBackend
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/nd4j-native.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/nd4j-native.properties
new file mode 100644
index 000000000..5a5f8fb3c
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/main/resources/nd4j-native.properties
@@ -0,0 +1,38 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+real.class.double = org.nd4j.linalg.cpu.NDArray
+shapeinfoprovider = org.nd4j.linalg.cpu.nativecpu.DirectShapeInfoProvider
+constantsprovider = org.nd4j.linalg.cpu.nativecpu.cache.ConstantBuffersCache
+affinitymanager = org.nd4j.linalg.cpu.nativecpu.CpuAffinityManager
+memorymanager = org.nd4j.linalg.cpu.nativecpu.CpuMemoryManager
+dtype = float
+blas.ops = org.nd4j.linalg.cpu.nativecpu.BlasWrapper
+
+native.ops= org.nd4j.nativeblas.Nd4jCpu
+ndarrayfactory.class = org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory
+ndarray.order = c
+resourcemanager_state = false
+databufferfactory = org.nd4j.linalg.cpu.nativecpu.buffer.DefaultDataBufferFactory
+workspacemanager = org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspaceManager
+alloc = javacpp
+opexec= org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
+opexec.mode= native
+random=org.nd4j.linalg.cpu.nativecpu.rng.CpuNativeRandom
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/test/resources/logback.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/test/resources/logback.xml
new file mode 100644
index 000000000..58029f4e9
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native-preset/src/test/resources/logback.xml
@@ -0,0 +1,51 @@
+
+
+
+
+	
+
+	
+		logs/application.log
+		
+			 %logger{15} - %message%n%xException{5}
+			
+		
+	
+
+	
+		
+			 %logger{15} - %message%n%xException{5}
+			
+		
+	
+
+    
+	
+	
+	
+
+
+	
+		
+		
+	
+
+
\ No newline at end of file
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/org.bytedecojavacpp1.5.4, b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/org.bytedecojavacpp1.5.4,
new file mode 100644
index 000000000..e69de29bb
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/pom.xml
index 44e4ab661..45ebcd12b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/pom.xml
@@ -1,28 +1,38 @@
-
+
+
+
+
 
-
-    
-        nd4j-backend-impls
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j-backend-impls
+        1.0.0-SNAPSHOT
+    
+
     nd4j-native
+
     nd4j-native
 
     
@@ -33,16 +43,13 @@
             ${dependency.packaging}
             ${dependency.classifier}
         
-
         
             org.bytedeco
             javacpp
-            ${javacpp.version}
         
         
             org.bytedeco
             javacpp
-            ${javacpp.version}
             ${dependency.platform}
         
         
@@ -56,15 +63,17 @@
             ${openblas.version}-${javacpp-presets.version}
             ${dependency.platform}
         
-
-        
-            org.nd4j
-            nd4j-native-api
-            ${project.version}
-        
         
             org.nd4j
             nd4j-api
+        
+        
+            org.nd4j
+            nd4j-native-api
+        
+        
+            org.nd4j
+            nd4j-native-preset
             ${project.version}
         
     
@@ -72,6 +81,7 @@
     
         
             
+                org.apache.maven.plugins
                 maven-compiler-plugin
                 
                     
@@ -83,17 +93,26 @@
                         
                             ${javacpp.parser.skip}
                             
-                                org/nd4j/nativeblas/Nd4jCpuPresets.java
+                                org/nd4j/nativeblas/**.java
                             
                         
                     
                 
+                
+                    8
+                    8
+                
             
             
                 org.bytedeco
                 javacpp
                 ${javacpp.version}
                 
+                    
+                        org.nd4j
+                        nd4j-native-preset
+                        ${project.version}
+                    
                     
                         org.nd4j
                         nd4j-native-api
@@ -136,7 +155,8 @@
                     
                     
                         ${libnd4jhome}/blasbuild/cpu/include
-                        ${libnd4jhome}/blasbuild/cpu/flatbuffers-src/include/
+                        ${libnd4jhome}/blasbuild/cpu/flatbuffers-src/include/
+                        
                         ${libnd4jhome}/blas
                         ${libnd4jhome}/include
                         ${libnd4jhome}/include/helpers
@@ -155,13 +175,15 @@
                         /org/bytedeco/openblas/${javacpp.platform}/
                     
                     
-                        /${javacpp.platform.library.path}/include/
-                        /org/bytedeco/openblas/${javacpp.platform}/include/
+                        /${javacpp.platform.library.path}/include/
+                        
+                        /org/bytedeco/openblas/${javacpp.platform}/include/
+                        
                     
                     
                         /${javacpp.platform.library.path}/
                         /${javacpp.platform.library.path}/lib/
-                       /org/bytedeco/openblas/${javacpp.platform}/
+                        /org/bytedeco/openblas/${javacpp.platform}/
                         /org/bytedeco/openblas/${javacpp.platform}/lib/
                     
                 
@@ -182,7 +204,8 @@
                         
                             ${javacpp.parser.skip}
                             ${project.build.sourceDirectory}
-                            org.nd4j.nativeblas.Nd4jCpuPresets
+                            org.nd4j.nativeblas.Nd4jCpuPresets
+                            
                         
                     
                     
@@ -196,6 +219,7 @@
                             org.nd4j.nativeblas.Nd4jCpu
                             true
                             ${project.build.directory}/classes/META-INF/native-image/${javacpp.platform}${javacpp.platform.extension}/
+                            ${project.build.directory}/classes
                         
                     
                 
@@ -216,16 +240,20 @@
                             
                                 
                                     libnd4jhome
-                                    You must set the LIBND4J_HOME environment variable!
+                                    You must set the LIBND4J_HOME environment variable!
+                                    
                                     .*/.*
-                                    !!! LIBND4J_HOME must be a valid unix path!
+                                    !!! LIBND4J_HOME must be a valid unix path!
+                                    
                                 
                                 
                                     
                                         ${libnd4jhome}/include/legacy/NativeOps.h
                                         ${libnd4jhome}/blasbuild/cpu/blas
                                     
-                                    !!! You have to compile libnd4j with cpu support first!
+                                    !!! You have to compile libnd4j with cpu support
+                                        first!
+                                    
                                 
                             
                             true
@@ -233,14 +261,6 @@
                     
                 
             
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    7
-                    7
-                
-            
         
     
 
@@ -297,9 +317,9 @@
         
             mingw
             
-              
-                  windows
-              
+                
+                    windows
+                
                 
                     !javacpp.platform
                 
@@ -378,7 +398,7 @@
                     
                         org.apache.maven.plugins
                         maven-dependency-plugin
-                        3.0.2
+                        3.1.2
                         
                             
                                 unpack
@@ -393,9 +413,12 @@
                                             libnd4j
                                             ${project.version}
                                             zip
-                                            ${javacpp.platform}${javacpp.platform.extension}
+                                            
+                                                ${javacpp.platform}${javacpp.platform.extension}
+                                            
                                             true
-                                            ${project.build.directory}
+                                            ${project.build.directory}
+                                            
                                         
                                     
                                 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/BlasWrapper.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/BlasWrapper.java
index 7d41ce53d..0a0ab6987 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/BlasWrapper.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/BlasWrapper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -20,13 +24,6 @@ package org.nd4j.linalg.cpu.nativecpu;
 import org.nd4j.linalg.factory.BaseBlasWrapper;
 
 
-/**
- * Copy of SimpleBlas to handle offsets implementing
- * an interface for library neutral
- * jblas operations
- *
- * @author Adam Gibson
- */
 public class BlasWrapper extends BaseBlasWrapper {
 
 }
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuAffinityManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuAffinityManager.java
index fde1cdc98..8ce0aaca8 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuAffinityManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuAffinityManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -20,9 +24,6 @@ import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.concurrency.BasicAffinityManager;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 public class CpuAffinityManager extends BasicAffinityManager {
 
     /**
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuBackend.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuBackend.java
index f0dd831e2..9952ee259 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuBackend.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuBackend.java
@@ -1,31 +1,33 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
+import lombok.extern.slf4j.Slf4j;
+import org.nd4j.common.config.ND4JSystemProperties;
 import org.nd4j.linalg.factory.Environment;
 import org.nd4j.linalg.factory.Nd4jBackend;
 import org.nd4j.common.io.ClassPathResource;
 import org.nd4j.common.io.Resource;
-
-/**
- * Cpu backend
- *
- * @author Adam Gibson
- */
+import org.nd4j.nativeblas.NativeOpsHolder;
+@Slf4j
 public class CpuBackend extends Nd4jBackend {
 
 
@@ -68,7 +70,23 @@ public class CpuBackend extends Nd4jBackend {
     }
 
     @Override
-    public void logBackendInit() {
-        //No additional logging for CPU backend
+    public String buildInfo() {
+        return NativeOpsHolder.getInstance().getDeviceNativeOps().buildInfo();
     }
+
+    @Override
+    public void logBackendInit() {
+        String logInitProperty = System.getProperty(ND4JSystemProperties.LOG_INITIALIZATION, "true");
+        boolean logInit = Boolean.parseBoolean(logInitProperty);
+
+        if(logInit) {
+            try {
+                log.info("Backend build information:\n {}", buildInfo()); 
+            } catch (Throwable t) {
+                log.debug("Error logging CPU backend ", t);
+            }
+        }
+    }
+
 }
+
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuEnvironment.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuEnvironment.java
index 363e8857b..a93379226 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuEnvironment.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuEnvironment.java
@@ -1,28 +1,27 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.linalg.cpu.nativecpu;
 
 import org.nd4j.linalg.factory.Environment;
 import org.nd4j.nativeblas.Nd4jCpu;
 
-/**
- * CPU backend implementation of {@link Environment}
- *
- * @author Alex Black
- */
 public class CpuEnvironment implements Environment {
 
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuMemoryManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuMemoryManager.java
index 76c1f625e..7a1bb6e2c 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuMemoryManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuMemoryManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -29,9 +33,6 @@ import org.nd4j.nativeblas.NativeOpsHolder;
 
 import java.util.Map;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CpuMemoryManager extends BasicMemoryManager {
     /**
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuNDArrayFactory.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuNDArrayFactory.java
index caee5b545..7de40dbdb 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuNDArrayFactory.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuNDArrayFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -48,12 +52,6 @@ import org.nd4j.nativeblas.NativeOpsHolder;
 
 import java.util.*;
 
-/**
- * {@link org.nd4j.linalg.factory.NDArrayFactory}
- * for cpus and the nd4j-native backend.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class CpuNDArrayFactory extends BaseNativeNDArrayFactory {
 
@@ -1085,7 +1083,13 @@ public class CpuNDArrayFactory extends BaseNativeNDArrayFactory {
     public INDArray create(Collection strings, long[] shape, char order) {
         val pairShape = Nd4j.getShapeInfoProvider().createShapeInformation(shape, order, DataType.UTF8);
         val buffer = new Utf8Buffer(strings);
-        val list = new ArrayList(strings);
+        val list = new ArrayList<>(strings);
         return Nd4j.createArrayFromShapeBuffer(buffer, pairShape);
     }
+
+    @Override
+    public INDArray create(DataType dataType, long[] shape, long[] paddings, long[] paddingOffsets, char ordering,
+            MemoryWorkspace workspace) { 
+        return new NDArray(dataType, shape, paddings, paddingOffsets, ordering, workspace);
+    }
 }
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuTADManager.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuTADManager.java
index c6ffd022e..f3179af14 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuTADManager.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/CpuTADManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -33,9 +37,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class CpuTADManager implements TADManager {
     private Map> cache = new ConcurrentHashMap<>();
     private NativeOps nativeOps;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/DirectShapeInfoProvider.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/DirectShapeInfoProvider.java
index b5584f847..3e2cc6619 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/DirectShapeInfoProvider.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/DirectShapeInfoProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -31,9 +35,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DirectShapeInfoProvider extends BaseShapeInfoProvider {
     // TODO: to be removed
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/NDArray.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/NDArray.java
index 909d2878c..a650a07a1 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/NDArray.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/NDArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu;
 
@@ -45,23 +49,6 @@ import java.io.IOException;
 import java.util.List;
 
 
-/**
- * NDArray: (think numpy)
- * 
        
- * A few things of note.
- * 
        
- * An NDArray can have any number of dimensions.
- * 
        
- * An NDArray is accessed via strides.
- * 
        
- * Strides are how to index over
- * a contiguous block of data.
- * 
        
- * This block of data has 2 orders(as of right now):
- * fortran and c
- *
- * @author Adam Gibson
- */
 public class NDArray extends BaseNDArray {
     static {
         //invoke the override
@@ -466,6 +453,11 @@ public class NDArray extends BaseNDArray {
         super(shape, buffer);
     }
 
+    public NDArray(DataType dataType, long[] shape, long[] paddings, long[] paddingOffsets, char ordering,
+            MemoryWorkspace workspace){
+        super(dataType, shape, paddings, paddingOffsets, ordering, workspace);
+    }
+
     private Object writeReplace() throws java.io.ObjectStreamException {
         return new BaseNDArrayProxy(this);
     }
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuBlas.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuBlas.java
index 4094ce7ca..8f4617c5b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuBlas.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuBlas.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLapack.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLapack.java
index 27dc806e6..bf23aec07 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLapack.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLapack.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.blas;
 
@@ -31,9 +35,6 @@ import org.nd4j.linalg.api.blas.BlasException ;
 
 import static org.bytedeco.openblas.global.openblas.*;
 
-/**
- * CPU lapack implementation
- */
 public class CpuLapack extends BaseLapack {
     protected static int getColumnOrder(INDArray A) {
         return A.ordering() == 'f' ? LAPACK_COL_MAJOR : LAPACK_ROW_MAJOR;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel1.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel1.java
index 719c5ae68..29a046797 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel1.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel1.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel2.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel2.java
index 1701b0a88..70680ec9d 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel2.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel2.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel3.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel3.java
index 843cc17df..b0e1bfe80 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel3.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/blas/CpuLevel3.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.blas;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BFloat16Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BFloat16Buffer.java
index 40672f5a3..6267114fc 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BFloat16Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BFloat16Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BaseCpuDataBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BaseCpuDataBuffer.java
index aa5d30f6e..590498236 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BaseCpuDataBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BaseCpuDataBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
@@ -34,11 +38,6 @@ import java.nio.ByteBuffer;
 
 import static org.nd4j.linalg.api.buffer.DataType.INT8;
 
-/**
- * Base implementation for DataBuffer for CPU-like backend
- *
- * @author raver119@gmail.com
- */
 public abstract class BaseCpuDataBuffer extends BaseDataBuffer implements Deallocatable {
 
     protected transient OpaqueDataBuffer ptrDataBuffer;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BoolBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BoolBuffer.java
index cae27dfb2..b4dd0844f 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BoolBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/BoolBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/CpuDeallocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/CpuDeallocator.java
index e808ebaa3..3feb6fcf2 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/CpuDeallocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/CpuDeallocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.api.memory.Deallocator;
 import org.nd4j.nativeblas.NativeOpsHolder;
 import org.nd4j.nativeblas.OpaqueDataBuffer;
 
-/**
- * This class is responsible for OpaqueDataBuffer deletion on native side, once it's not used anymore in Java
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CpuDeallocator implements Deallocator {
     private final transient OpaqueDataBuffer opaqueDataBuffer;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DefaultDataBufferFactory.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DefaultDataBufferFactory.java
index 7933389ef..257c547b4 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DefaultDataBufferFactory.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DefaultDataBufferFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
@@ -32,11 +36,6 @@ import org.nd4j.common.util.ArrayUtil;
 
 import java.nio.ByteBuffer;
 
-/**
- * Normal data buffer creation
- *
- * @author Adam Gibson
- */
 public class DefaultDataBufferFactory implements DataBufferFactory {
     protected DataBuffer.AllocationMode allocationMode;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DoubleBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DoubleBuffer.java
index bde3924a5..6dde47dea 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DoubleBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/DoubleBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/FloatBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/FloatBuffer.java
index c1134a91d..0b9f9c68e 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/FloatBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/FloatBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/HalfBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/HalfBuffer.java
index 09647441c..c4edc0359 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/HalfBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/HalfBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int16Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int16Buffer.java
index 82cf2ce17..b87aa793a 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int16Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int16Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int8Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int8Buffer.java
index e5e272b3a..ab5fbf674 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int8Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Int8Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/IntBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/IntBuffer.java
index 0a9fdfaf3..d3c2a5594 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/IntBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/IntBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/LongBuffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/LongBuffer.java
index 6b6669177..eed2bbf09 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/LongBuffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/LongBuffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt16Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt16Buffer.java
index e12817b57..517bcd2e6 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt16Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt16Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt32Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt32Buffer.java
index dae7eba25..110fb4979 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt32Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt32Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt64Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt64Buffer.java
index 34e19d552..6acc3e83c 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt64Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt64Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt8Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt8Buffer.java
index 7c507dc0b..78f6f29c4 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt8Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/UInt8Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Utf8Buffer.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Utf8Buffer.java
index bc5758b1d..3962ace18 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Utf8Buffer.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/buffer/Utf8Buffer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.buffer;
 
@@ -139,9 +143,9 @@ public class Utf8Buffer extends BaseCpuDataBuffer {
 
         // at this point we should have fully allocated buffer, time to fill length
         val headerLength = (strings.size() + 1) * 8;
-        val headerPointer = new LongPointer(this.pointer);
-        val dataPointer = new BytePointer(this.pointer);
-
+        val headerPointer = new LongPointer(getPointer());
+        val dataPointer = new BytePointer(getPointer());
+        this.pointer.retainReference();
         numWords = strings.size();
 
         long cnt = 0;
@@ -163,15 +167,20 @@ public class Utf8Buffer extends BaseCpuDataBuffer {
         headerPointer.put(cnt, currentLength);
     }
 
-    public String getString(long index) {
+    
+    private synchronized Pointer getPointer() {
+        return this.pointer;
+    }
+
+    public synchronized String getString(long index) {
         if (index > numWords)
             throw new IllegalArgumentException("Requested index [" + index + "] is above actual number of words stored: [" + numWords + "]");
 
-        val headerPointer = new LongPointer(this.pointer);
-        val dataPointer = (BytePointer) (this.pointer);
+        val headerPointer = new LongPointer(getPointer());
+        val dataPointer = (BytePointer) (getPointer());
 
         val start = headerPointer.get(index);
-        val end = headerPointer.get(index+1);
+        val end = headerPointer.get(index + 1);
 
         if (end - start > Integer.MAX_VALUE)
             throw new IllegalStateException("Array is too long for Java");
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/cache/ConstantBuffersCache.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/cache/ConstantBuffersCache.java
index f1e87e144..dd61c6d83 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/cache/ConstantBuffersCache.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/cache/ConstantBuffersCache.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.cache;
 
@@ -29,9 +33,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 public class ConstantBuffersCache extends BasicConstantHandler {
     protected Map buffersCache = new ConcurrentHashMap<>();
     private AtomicInteger counter = new AtomicInteger(0);
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuFlexibleThreshold.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuFlexibleThreshold.java
index 465f736ce..e13355cfe 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuFlexibleThreshold.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuFlexibleThreshold.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.compression;
 
@@ -27,16 +31,6 @@ import org.nd4j.linalg.compression.CompressionDescriptor;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 
-/**
- * This compression is very special case, and shouldn't be ever used outside of ParallelWrapper/ParameterServer implementation.
- * It encodes data as delta between zero and abs threshold.
- *
- * Unlike CpuThreshold codec, CpuFlexibleThreshold tries to target specified sparsity/density updates ratio via topN approach
- *
- * PLEASE NOTE: DO NOT USE THIS COMPRESSOR UNLESS YOU'RE 100% SURE WHAT YOU DO!
- *
- * @author raver119@gmail.com
- */
 public class CpuFlexibleThreshold extends CpuThreshold {
 
     public CpuFlexibleThreshold() {
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuThreshold.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuThreshold.java
index 88fe53dfb..209747157 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuThreshold.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/compression/CpuThreshold.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.compression;
 
@@ -36,14 +40,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 
-/**
- * This compression is very special case, and shouldn't be ever used outside of ParallelWrapper/ParameterServer implementation.
- * It encodes data as delta between zero and abs threshold.
- *
- * PLEASE NOTE: DO NOT USE THIS COMPRESSOR UNLESS YOU'RE 100% SURE WHAT YOU DO!
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CpuThreshold extends AbstractCompressor {
     @Getter @Setter protected float threshold = 1e-3f;
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContext.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContext.java
index 1be649287..0a922c704 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContext.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContext.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.ops;
 
@@ -34,11 +38,6 @@ import org.nd4j.nativeblas.NativeOpsHolder;
 import org.nd4j.nativeblas.OpaqueContext;
 import org.nd4j.nativeblas.OpaqueRandomGenerator;
 
-/**
- * CPU backend Context wrapper
- *
- * @author raver119@gmail.com
- */
 public class CpuOpContext extends BaseOpContext implements OpContext, Deallocatable {
     // we might want to have configurable
     private NativeOps nativeOps = NativeOpsHolder.getInstance().getDeviceNativeOps();
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContextDeallocator.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContextDeallocator.java
index 621f882bd..2a528d6e4 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContextDeallocator.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/CpuOpContextDeallocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.ops;
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java
index 822bde194..8b7074694 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  * See the NOTICE file distributed with this work for additional
+ *  * information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.linalg.cpu.nativecpu.ops;
 
@@ -69,13 +73,6 @@ import org.nd4j.nativeblas.*;
 
 import java.util.*;
 
-/**
- *
- * Native operation
- * executioner in c++
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class NativeOpExecutioner extends DefaultOpExecutioner {
     private NativeOps loop = NativeOpsHolder.getInstance().getDeviceNativeOps();
@@ -217,16 +214,16 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
 
         if (z.isScalar()) {
             loop.execIndexReduceScalar(dummy, op.opNum(),
-                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                        getPointerForExtraArgs(op, x.dataType()),
-                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null);
-            } else {
-                loop.execIndexReduce(dummy, op.opNum(),
-                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                        getPointerForExtraArgs(op, x.dataType()),
-                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                        ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
-            }
+                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                    getPointerForExtraArgs(op, x.dataType()),
+                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null);
+        } else {
+            loop.execIndexReduce(dummy, op.opNum(),
+                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                    getPointerForExtraArgs(op, x.dataType()),
+                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                    ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
+        }
 
         if (loop.lastErrorCode() != 0)
             throw new RuntimeException(loop.lastErrorMessage());
@@ -267,7 +264,7 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         }
 
         // FIXME: this should be moved down to C++ on per-op basis
-        val dimension = Shape.normalizeAxis(x.rank(), op.dimensions().toIntVector());
+        val dimension = Shape.normalizeAxis(x.rank(), op.dimensions() != null ?  op.dimensions().toIntVector() : null);
         // reduce to scalar case, ReduceBool ops require special treatment
         if (op instanceof BaseReduceBoolOp && x.isEmpty() && (dimension == null || (dimension.length == 1 && dimension[0] == Integer.MAX_VALUE))) {
             if (z == null) {
@@ -404,136 +401,136 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         val xb = ((BaseCpuDataBuffer) x.data()).getOpaqueDataBuffer();
         val zb = ((BaseCpuDataBuffer) z.data()).getOpaqueDataBuffer();
 
-            if (op instanceof Variance) {
-                if (ret.isScalar()) {
-                    loop.execSummaryStatsScalar(null, op.opNum(),
+        if (op instanceof Variance) {
+            if (ret.isScalar()) {
+                loop.execSummaryStatsScalar(null, op.opNum(),
+                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                        getPointerForExtraArgs(op, z.dataType()),
+                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                        ((Variance) op).isBiasCorrected());
+            } else {
+                Variance var = (Variance) op;
+                try {
+                    loop.execSummaryStatsTad(null, op.opNum(),
                             xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
                             getPointerForExtraArgs(op, z.dataType()),
                             zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                            ((Variance) op).isBiasCorrected());
-                } else {
-                    Variance var = (Variance) op;
-                    try {
-                        loop.execSummaryStatsTad(null, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                getPointerForExtraArgs(op, z.dataType()),
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null,
-                                var.isBiasCorrected(), null, null);
-                    } catch (Throwable t){
-                        String str = opInfoString(op, Optional.of(dimension));
-                        throw new RuntimeException("Native AccumulationOp execution (double) failed: " + str, t);
-                    }
+                            ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null,
+                            var.isBiasCorrected(), null, null);
+                } catch (Throwable t){
+                    String str = opInfoString(op, Optional.of(dimension));
+                    throw new RuntimeException("Native AccumulationOp execution (double) failed: " + str, t);
                 }
-
             }
-            //pairwise reduction like similarity of two arrays
-            else if (y != null && op.getOpType() == Op.Type.REDUCE3) {
-                val yb = ((BaseCpuDataBuffer) y.data()).getOpaqueDataBuffer();
-                if (op.isComplexAccumulation()) {
-                    try {
-                        loop.execReduce3All(null, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                getPointerForExtraArgs(op, z.dataType()),
-                                yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null,
-                                (LongPointer) tadBuffers.getFirst().addressPointer(), new LongPointerWrapper(tadBuffers.getSecond().addressPointer()),
-                                (LongPointer) yTadBuffers.getFirst().addressPointer(), new LongPointerWrapper(yTadBuffers.getSecond().addressPointer())
-                        );
-                    } catch (Throwable t){
-                        String str = opInfoString(op, Optional.of(dimension));
-                        throw new RuntimeException("Native AccumulationOp execution (double) failed: " + str, t);
-                    }
-                } else if (ret.isScalar()) {
-                            loop.execReduce3Scalar(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, z.dataType()),
-                                    yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
-                                    zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
-                } else {
-                    try {
-                        loop.execReduce3Tad(null, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                getPointerForExtraArgs(op, z.dataType()),
-                                yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null,
-                                null, null, null, null);
-                    } catch (Throwable t){
-                        String str = opInfoString(op, Optional.of(dimension));
-                        throw new RuntimeException("Native AccumulationOp execution (double) failed: " + str, t);
-                    }
-                }
 
+        }
+        //pairwise reduction like similarity of two arrays
+        else if (y != null && op.getOpType() == Op.Type.REDUCE3) {
+            val yb = ((BaseCpuDataBuffer) y.data()).getOpaqueDataBuffer();
+            if (op.isComplexAccumulation()) {
+                try {
+                    loop.execReduce3All(null, op.opNum(),
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            getPointerForExtraArgs(op, z.dataType()),
+                            yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null,
+                            (LongPointer) tadBuffers.getFirst().addressPointer(), new LongPointerWrapper(tadBuffers.getSecond().addressPointer()),
+                            (LongPointer) yTadBuffers.getFirst().addressPointer(), new LongPointerWrapper(yTadBuffers.getSecond().addressPointer())
+                    );
+                } catch (Throwable t){
+                    String str = opInfoString(op, Optional.of(dimension));
+                    throw new RuntimeException("Native AccumulationOp execution (double) failed: " + str, t);
+                }
+            } else if (ret.isScalar()) {
+                loop.execReduce3Scalar(null, op.opNum(),
+                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                        getPointerForExtraArgs(op, z.dataType()),
+                        yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
+                        zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
             } else {
-                if (ret.isScalar()) {
-                    switch (op.getOpType()) {
-                        case REDUCE_FLOAT:
-                            loop.execReduceFloat(null, op.opNum(),
+                try {
+                    loop.execReduce3Tad(null, op.opNum(),
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            getPointerForExtraArgs(op, z.dataType()),
+                            yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null,
+                            null, null, null, null);
+                } catch (Throwable t){
+                    String str = opInfoString(op, Optional.of(dimension));
+                    throw new RuntimeException("Native AccumulationOp execution (double) failed: " + str, t);
+                }
+            }
+
+        } else {
+            if (ret.isScalar()) {
+                switch (op.getOpType()) {
+                    case REDUCE_FLOAT:
+                        loop.execReduceFloat(null, op.opNum(),
                                 xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
                                 getPointerForExtraArgs(op, z.dataType()),
                                 zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        case REDUCE_BOOL:
-                            loop.execReduceBool(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, x.dataType()),
-                                    zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        case REDUCE_SAME:
-                            loop.execReduceSame(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, x.dataType()),
-                                    zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        case REDUCE_LONG:
-                            loop.execReduceLong(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, x.dataType()),
-                                    zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        default:
-                            throw new UnsupportedOperationException("Unsupported op used in reduce: "+ op.getOpType());
-                    }
-                } else {
-                    switch (op.getOpType()) {
-                        case REDUCE_FLOAT:
-                            loop.execReduceFloat2(null, op.opNum(),
+                        break;
+                    case REDUCE_BOOL:
+                        loop.execReduceBool(null, op.opNum(),
+                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                                getPointerForExtraArgs(op, x.dataType()),
+                                zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
+                        break;
+                    case REDUCE_SAME:
+                        loop.execReduceSame(null, op.opNum(),
+                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                                getPointerForExtraArgs(op, x.dataType()),
+                                zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
+                        break;
+                    case REDUCE_LONG:
+                        loop.execReduceLong(null, op.opNum(),
+                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                                getPointerForExtraArgs(op, x.dataType()),
+                                zb, (LongPointer) ret.shapeInfoDataBuffer().addressPointer(), null);
+                        break;
+                    default:
+                        throw new UnsupportedOperationException("Unsupported op used in reduce: "+ op.getOpType());
+                }
+            } else {
+                switch (op.getOpType()) {
+                    case REDUCE_FLOAT:
+                        loop.execReduceFloat2(null, op.opNum(),
                                 xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
                                 getPointerForExtraArgs(op, z.dataType()),
                                 zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
                                 ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
                         break;
-                        case REDUCE_LONG:
-                            loop.execReduceLong2(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, x.dataType()),
-                                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                    ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(),
-                                    (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        case REDUCE_SAME:
-                            loop.execReduceSame2(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, z.dataType()),
-                                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                    ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(),
-                                    (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        case REDUCE_BOOL:
-                            loop.execReduceBool2(null, op.opNum(),
-                                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                    getPointerForExtraArgs(op, x.dataType()),
-                                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                    ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(),
-                                    (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
-                            break;
-                        default:
-                            throw new UnsupportedOperationException("Unsupported op used in reduce: "+ op.getOpType());
-                    }
+                    case REDUCE_LONG:
+                        loop.execReduceLong2(null, op.opNum(),
+                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                                getPointerForExtraArgs(op, x.dataType()),
+                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                                ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(),
+                                (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
+                        break;
+                    case REDUCE_SAME:
+                        loop.execReduceSame2(null, op.opNum(),
+                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                                getPointerForExtraArgs(op, z.dataType()),
+                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                                ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(),
+                                (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
+                        break;
+                    case REDUCE_BOOL:
+                        loop.execReduceBool2(null, op.opNum(),
+                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                                getPointerForExtraArgs(op, x.dataType()),
+                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                                ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(),
+                                (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
+                        break;
+                    default:
+                        throw new UnsupportedOperationException("Unsupported op used in reduce: "+ op.getOpType());
                 }
             }
+        }
 
         if (loop.lastErrorCode() != 0)
             throw new RuntimeException(loop.lastErrorMessage());
@@ -765,117 +762,112 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         } else
             st = profilingConfigurableHookIn(op);
 
-            if (y != null) {
+        if (y != null) {
 
-                if (z == null) {
-                    setZ(Nd4j.create(op.resultType(), x.shape()), op, oc);
-                    z = getZ(op, oc);
-                }
+            if (z == null) {
+                setZ(Nd4j.create(op.resultType(), x.shape()), op, oc);
+                z = getZ(op, oc);
+            }
 
 
-                op.validateDataTypes(oc, experimentalMode.get());
+            op.validateDataTypes(oc, experimentalMode.get());
 
-                //log.info("X type: {}; Y type: {}; Z type: {}; OpNum: {}", op.x().dataType(), op.y().dataType(), op.z().dataType(), op.opNum());
+            //log.info("X type: {}; Y type: {}; Z type: {}; OpNum: {}", op.x().dataType(), op.y().dataType(), op.z().dataType(), op.opNum());
 
-                if (x.length() != y.length() || x.length() != z.length())
-                    throw new ND4JIllegalStateException("X, Y and Z arguments should have the same length for PairwiseTransform " +
-                            op.opName() + ". x: length " + x.length() + ", shape " + Arrays.toString(x.shape()) +
-                            "; y: " + y.length() + ", shape " + Arrays.toString(y.shape()) +
-                            "; z: " + z.length() + ", shape " + Arrays.toString(z.shape()));
 
-                val xb = ((BaseCpuDataBuffer) x.data()).getOpaqueDataBuffer();
-                val yb = ((BaseCpuDataBuffer) y.data()).getOpaqueDataBuffer();
-                val zb = ((BaseCpuDataBuffer) z.data()).getOpaqueDataBuffer();
+            val xb = ((BaseCpuDataBuffer) x.data()).getOpaqueDataBuffer();
+            val yb = ((BaseCpuDataBuffer) y.data()).getOpaqueDataBuffer();
+            val zb = ((BaseCpuDataBuffer) z.data()).getOpaqueDataBuffer();
 
-                switch (op.getOpType()) {
-                    case TRANSFORM_ANY:
-                    case TRANSFORM_FLOAT:
-                    case TRANSFORM_STRICT:
-                    case TRANSFORM_SAME:
-                        if (!experimentalMode.get())
-                            Preconditions.checkArgument(x.dataType() == y.dataType() || y.dataType() == DataType.BOOL,
-                                    "Op.X and Op.Y must have the same data type, but got %s vs. %s", x.dataType(), y.dataType());
+            switch (op.getOpType()) {
+                case TRANSFORM_ANY:
+                case TRANSFORM_FLOAT:
+                case TRANSFORM_STRICT:
+                case TRANSFORM_SAME:
+                    if (!experimentalMode.get())
+                        Preconditions.checkArgument(x.dataType() == y.dataType() || y.dataType() == DataType.BOOL,
+                                "Op.X and Op.Y must have the same data type, but got %s vs. %s", x.dataType(), y.dataType());
 
-                        loop.execPairwiseTransform(dummy, op.opNum(),
+                    loop.execPairwiseTransform(dummy, op.opNum(),
                             xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
                             yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
                             zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
                             getPointerForExtraArgs(op, z.dataType()));
-                        break;
-                    case TRANSFORM_BOOL:
-                    case PAIRWISE_BOOL:
-                        loop.execPairwiseTransformBool(dummy, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                getPointerForExtraArgs(op, x.dataType()));
-                        break;
-                }
-            } else {
-
-                if (z == null) {
-                    setZ(Nd4j.createUninitialized((oc != null ? op.resultType(oc) : op.resultType()), x.shape()), op, oc);
-                    z = getZ(op, oc);
-                }
-
-                op.validateDataTypes(oc, experimentalMode.get());
-
-                val xb = ((BaseCpuDataBuffer) x.data()).getOpaqueDataBuffer();
-                val zb = ((BaseCpuDataBuffer) z.data()).getOpaqueDataBuffer();
-
-                switch (op.getOpType()) {
-                    case TRANSFORM_FLOAT: {
-                        val xtraz = getPointerForExtraArgs(op, z.dataType());
-
-                        loop.execTransformFloat(dummy, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(),
-                                null, xtraz);
-                        break;
-                        }
-                    case TRANSFORM_STRICT: {
-                        val xtraz = getPointerForExtraArgs(op, z.dataType());
-
-                        loop.execTransformStrict(dummy, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                xtraz);
-                        break;
-                        }
-                    case TRANSFORM_SAME: {
-                        val xtraz = getPointerForExtraArgs(op, z.dataType());
-
-                        loop.execTransformSame(dummy, op.opNum(),
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                xtraz);
-                        break;
-                        }
-                    case TRANSFORM_ANY: {
-                        val xtraz = getPointerForExtraArgs(op, x.dataType());
-                        val opNum = op.opNum();
-
-                        loop.execTransformAny(dummy, opNum,
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                xtraz);
-                        break;
-                    }
-                    case TRANSFORM_BOOL: {
-                        val xtraz = getPointerForExtraArgs(op, x.dataType());
-                        val opNum = op.opNum();
-
-                        loop.execTransformBool(dummy, opNum,
-                                xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                                zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                                xtraz);
-                        break;
-                        }
-                    default:
-                        throw new UnsupportedOperationException("Unknown transform type: [" + op.getOpType() + "]");
-                }
-
+                    break;
+                case TRANSFORM_BOOL:
+                case PAIRWISE_BOOL:
+                    loop.execPairwiseTransformBool(dummy, op.opNum(),
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            getPointerForExtraArgs(op, x.dataType()));
+                    break;
             }
+        } else {
+
+            if (z == null) {
+                setZ(Nd4j.createUninitialized((oc != null ? op.resultType(oc) : op.resultType()), x.shape()), op, oc);
+                z = getZ(op, oc);
+            }
+
+            op.validateDataTypes(oc, experimentalMode.get());
+
+            val xb = ((BaseCpuDataBuffer) x.data()).getOpaqueDataBuffer();
+            val zb = ((BaseCpuDataBuffer) z.data()).getOpaqueDataBuffer();
+
+            switch (op.getOpType()) {
+                case TRANSFORM_FLOAT: {
+                    val xtraz = getPointerForExtraArgs(op, z.dataType());
+
+                    loop.execTransformFloat(dummy, op.opNum(),
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(),
+                            null, xtraz);
+                    break;
+                }
+                case TRANSFORM_STRICT: {
+                    val xtraz = getPointerForExtraArgs(op, z.dataType());
+
+                    loop.execTransformStrict(dummy, op.opNum(),
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            xtraz);
+                    break;
+                }
+                case TRANSFORM_SAME: {
+                    val xtraz = getPointerForExtraArgs(op, z.dataType());
+
+                    loop.execTransformSame(dummy, op.opNum(),
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            xtraz);
+                    break;
+                }
+                case TRANSFORM_ANY: {
+                    val xtraz = getPointerForExtraArgs(op, x.dataType());
+                    val opNum = op.opNum();
+
+                    loop.execTransformAny(dummy, opNum,
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            xtraz);
+                    break;
+                }
+                case TRANSFORM_BOOL: {
+                    val xtraz = getPointerForExtraArgs(op, x.dataType());
+                    val opNum = op.opNum();
+
+                    loop.execTransformBool(dummy, opNum,
+                            xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                            zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                            xtraz);
+                    break;
+                }
+                default:
+                    throw new UnsupportedOperationException("Unknown transform type: [" + op.getOpType() + "]");
+            }
+
+        }
 
         if (loop.lastErrorCode() != 0)
             throw new RuntimeException(loop.lastErrorMessage());
@@ -939,10 +931,10 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         switch (op.getOpType()) {
             case BROADCAST:
                 loop.execBroadcast(dummy, op.opNum(),
-                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                    yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
-                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                    ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
+                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                        yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
+                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                        ((BaseCpuDataBuffer) op.dimensions().data()).getOpaqueDataBuffer(), (LongPointer) op.dimensions().shapeInfoDataBuffer().addressPointer(), null);
                 break;
             case BROADCAST_BOOL:
                 loop.execBroadcastBool(dummy, op.opNum(),
@@ -1083,9 +1075,9 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         }
 
         loop.execAggregateBatch(null, batch.getNumAggregates(), batch.opNum(),
-                    batch.getSample().maxArguments(), batch.getSample().maxShapes(),
-                    batch.getSample().maxIntArrays(), batch.getSample().maxIntArraySize(),
-                    batch.getSample().maxIndexArguments(), batch.getSample().maxRealArguments(), pointer, FlatBuffersMapper.getDataTypeAsByte(dataType));
+                batch.getSample().maxArguments(), batch.getSample().maxShapes(),
+                batch.getSample().maxIntArrays(), batch.getSample().maxIntArraySize(),
+                batch.getSample().maxIndexArguments(), batch.getSample().maxRealArguments(), pointer, FlatBuffersMapper.getDataTypeAsByte(dataType));
 
         if (loop.lastErrorCode() != 0)
             throw new RuntimeException(loop.lastErrorMessage());
@@ -1193,8 +1185,8 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
 
 
         loop.execAggregate(null, op.opNum(), arguments, numArguments, shapes, numShapes, pointer,
-                    numIndexArguments, intArrays, numIntArrays, block.getRealArgumentsPointer(),
-                    numRealArguments, FlatBuffersMapper.getDataTypeAsByte(dataType));
+                numIndexArguments, intArrays, numIntArrays, block.getRealArgumentsPointer(),
+                numRealArguments, FlatBuffersMapper.getDataTypeAsByte(dataType));
 
         if (loop.lastErrorCode() != 0)
             throw new RuntimeException(loop.lastErrorMessage());
@@ -1282,21 +1274,21 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         if (x != null && y != null && z != null) {
             // triple arg call
             loop.execRandom3(null, op.opNum(), rng.getStatePointer(), // rng state ptr
-                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                        yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
-                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                        op.extraArgsDataBuff(z.dataType()).addressPointer());
+                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                    yb, (LongPointer) y.shapeInfoDataBuffer().addressPointer(), null,
+                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                    op.extraArgsDataBuff(z.dataType()).addressPointer());
         } else if (x != null && z != null) {
             //double arg call
-                loop.execRandom2(null, op.opNum(), rng.getStatePointer(), // rng state ptr
-                        xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
-                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                        op.extraArgsDataBuff(z.dataType()).addressPointer());
+            loop.execRandom2(null, op.opNum(), rng.getStatePointer(), // rng state ptr
+                    xb, (LongPointer) x.shapeInfoDataBuffer().addressPointer(), null,
+                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                    op.extraArgsDataBuff(z.dataType()).addressPointer());
         } else {
             // single arg call
-                loop.execRandom(null, op.opNum(), rng.getStatePointer(), // rng state ptr
-                        zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
-                        op.extraArgsDataBuff(z.dataType()).addressPointer());
+            loop.execRandom(null, op.opNum(), rng.getStatePointer(), // rng state ptr
+                    zb, (LongPointer) z.shapeInfoDataBuffer().addressPointer(), null,
+                    op.extraArgsDataBuff(z.dataType()).addressPointer());
         }
 
         if (loop.lastErrorCode() != 0)
@@ -1497,7 +1489,7 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
 
 
     private PointerPointer getInputShapes(int numArguments) {
-       return getPointerPointerFrom(inputShapes,numArguments);
+        return getPointerPointerFrom(inputShapes,numArguments);
     }
 
     private PointerPointer getInputBuffers(int numArguments) {
@@ -1657,7 +1649,7 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         val dArgs = nDArgs > 0 ? new IntPointer(nDArgs) : null;
 
         cnt = 0;
-        if(opContext != null){
+        if(opContext != null) {
             for (val b: opContext.getBArguments())
                 bArgs.put(cnt++, b);
         } else {
@@ -1667,7 +1659,7 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
 
 
         cnt = 0;
-        if(opContext != null){
+        if(opContext != null) {
             for (val b: opContext.getTArguments())
                 tArgs.put(cnt++, b);
         } else {
@@ -1676,7 +1668,7 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
         }
 
         cnt = 0;
-        if(opContext != null){
+        if(opContext != null) {
             for (val b: opContext.getDArguments())
                 dArgs.put(cnt++, b.toInt());
         } else {
@@ -1691,24 +1683,27 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
                     hash, inputBuffers, inputShapes, nIn, tArgs,
                     nTArgs, iArgs, nIArgs, bArgs, nBArgs, dArgs, nDArgs);
 
-            if (loop.lastErrorCode() != 0)
-                throw new RuntimeException(loop.lastErrorMessage());
-        } catch (Throwable t){
+            if (loop.lastErrorCode() != 0) {
+                DifferentialFunction differentialFunction = (DifferentialFunction) op;
+                throw new RuntimeException("Op " + op.opName() + " with name " + differentialFunction.getOwnName() + " failed to execute." + opContext.toString() +  " Here is the error from c++: " + loop.lastErrorMessage());
+
+            }
+        } catch (Throwable t) {
             StringBuilder sb = new StringBuilder();
             sb.append("Inputs: [(");
-            for( int i=0; i 0)
                     sb.append("), (");
                 sb.append(Shape.shapeToStringShort(inputArgs.get(i)));
             }
             sb.append(")]");
-            if(op instanceof DifferentialFunction && ((DifferentialFunction)op).getSameDiff() != null){
+            if(op instanceof DifferentialFunction && ((DifferentialFunction)op).getSameDiff() != null) {
                 appendSameDiffInfo(sb, (DifferentialFunction) op);
             }
 
             int nOut = opContext != null ? opContext.numOutputArguments() : op.numOutputArguments();
             log.error("Failed to calculate output shapes for op {}. Attempted to execute with {} inputs, {} outputs, " +
-                    "{} targs, {} iargs, {} bargs and {} dargs. {} - Please see above message (printed out from c++) for a possible cause of error.",
+                            "{} targs, {} iargs, {} bargs and {} dargs. {} - Please see above message (printed out from c++) for a possible cause of error.",
                     op.opName(), nIn, nOut, nTArgs, nIArgs, nBArgs, nDArgs, sb.toString());
             throw t;
         }
@@ -1725,12 +1720,14 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
 
         loop.deleteShapeList(ptrptr);
 
-        if(log.isTraceEnabled()){
+        if(log.isTraceEnabled()) {/**/
             String[] arr = new String[result.size()];
-            for( int i=0; i
 // #include 
 // #include 
+// #include 
 // #include 
 // #include 
 
+
+public static final int SHAPE_DESC_OK = 0;
+public static final int SHAPE_DESC_INCORRECT_STRIDES = 1; //strides does not match shapes
+public static final int SHAPE_DESC_INCORRECT_EWS = 2; //ews neither matches stride nor continuity
+public static final int SHAPE_DESC_INCORRECT_RANK = 4; //rank > 32 or shape size and rank does not match
+
 @Namespace("sd") @NoOffset public static class ShapeDescriptor extends Pointer {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
@@ -26146,12 +26409,6 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
         private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongBuffer shape, int rank);
         public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") long[] shape, int rank) { super((Pointer)null); allocate(type, order, shape, rank); }
         private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") long[] shape, int rank);
-        public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongPointer shape, @Cast("const Nd4jLong*") LongPointer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("const bool") boolean empty) { super((Pointer)null); allocate(type, order, shape, strides, rank, ews, empty); }
-        private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongPointer shape, @Cast("const Nd4jLong*") LongPointer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("const bool") boolean empty);
-        public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongBuffer shape, @Cast("const Nd4jLong*") LongBuffer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("const bool") boolean empty) { super((Pointer)null); allocate(type, order, shape, strides, rank, ews, empty); }
-        private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongBuffer shape, @Cast("const Nd4jLong*") LongBuffer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("const bool") boolean empty);
-        public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") long[] shape, @Cast("const Nd4jLong*") long[] strides, int rank, @Cast("Nd4jLong") long ews, @Cast("const bool") boolean empty) { super((Pointer)null); allocate(type, order, shape, strides, rank, ews, empty); }
-        private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") long[] shape, @Cast("const Nd4jLong*") long[] strides, int rank, @Cast("Nd4jLong") long ews, @Cast("const bool") boolean empty);
         public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape) { super((Pointer)null); allocate(type, order, shape); }
         private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape);
         public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape) { super((Pointer)null); allocate(type, order, shape); }
@@ -26170,6 +26427,13 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
         private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("Nd4jLong*") @StdVector LongBuffer strides, @Cast("const Nd4jLong") long ews);
         public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("Nd4jLong*") @StdVector long[] strides, @Cast("const Nd4jLong") long ews) { super((Pointer)null); allocate(type, order, shape, strides, ews); }
         private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("Nd4jLong*") @StdVector long[] strides, @Cast("const Nd4jLong") long ews);
+        public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongPointer shape, @Cast("const Nd4jLong*") LongPointer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("Nd4jLong") long extras) { super((Pointer)null); allocate(type, order, shape, strides, rank, ews, extras); }
+        private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongPointer shape, @Cast("const Nd4jLong*") LongPointer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("Nd4jLong") long extras);
+        public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongBuffer shape, @Cast("const Nd4jLong*") LongBuffer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("Nd4jLong") long extras) { super((Pointer)null); allocate(type, order, shape, strides, rank, ews, extras); }
+        private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") LongBuffer shape, @Cast("const Nd4jLong*") LongBuffer strides, int rank, @Cast("Nd4jLong") long ews, @Cast("Nd4jLong") long extras);
+        public ShapeDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") long[] shape, @Cast("const Nd4jLong*") long[] strides, int rank, @Cast("Nd4jLong") long ews, @Cast("Nd4jLong") long extras) { super((Pointer)null); allocate(type, order, shape, strides, rank, ews, extras); }
+        private native void allocate(@Cast("const sd::DataType") int type, byte order, @Cast("const Nd4jLong*") long[] shape, @Cast("const Nd4jLong*") long[] strides, int rank, @Cast("Nd4jLong") long ews, @Cast("Nd4jLong") long extras);
+
         public ShapeDescriptor() { super((Pointer)null); allocate(); }
         private native void allocate();
 
@@ -26182,6 +26446,12 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
         public native @Cast("Nd4jLong*") @StdVector LongPointer shape();
         public native @Cast("Nd4jLong*") @StdVector LongPointer strides();
 
+        //returns minimal allocation length
+        public native @Cast("Nd4jLong") long allocLength();
+
+        //returns Status for the correctness
+        public native @Cast("Nd4jLong") long validate();
+
         // we use default copy assignment operator
         public native @ByRef @Name("operator =") ShapeDescriptor put(@Const @ByRef ShapeDescriptor other);
 
@@ -26196,9 +26466,15 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
         public native @Cast("Nd4jLong*") LongPointer toShapeInfo();
 
 
+
         public native @ByVal ShapeDescriptor emptyDescriptor(@Cast("const sd::DataType") int type);
         public native @ByVal ShapeDescriptor scalarDescriptor(@Cast("const sd::DataType") int type);
         public native @ByVal ShapeDescriptor vectorDescriptor(@Cast("const Nd4jLong") long length, @Cast("const sd::DataType") int type);
+
+        //create Descriptor with padded buffer.
+        public native @ByVal ShapeDescriptor paddedBufferDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("Nd4jLong*") @StdVector LongPointer paddings);
+        public native @ByVal ShapeDescriptor paddedBufferDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("Nd4jLong*") @StdVector LongBuffer paddings);
+        public native @ByVal ShapeDescriptor paddedBufferDescriptor(@Cast("const sd::DataType") int type, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("Nd4jLong*") @StdVector long[] paddings);
     }
 
 
@@ -26212,13 +26488,15 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
 
 // Parsed from array/TadDescriptor.h
 
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -26297,13 +26575,15 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
 
 // Parsed from helpers/DebugInfo.h
 
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
@@ -26369,13 +26649,15 @@ public static final double TAD_THRESHOLD = TAD_THRESHOLD();
 
 // Parsed from ops/declarable/headers/third_party.h
 
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
+/* ******************************************************************************
+ *
  *
  * This program and the accompanying materials are made available under the
  * terms of the Apache License, Version 2.0 which is available at
  * https://www.apache.org/licenses/LICENSE-2.0.
  *
+ *  See the NOTICE file distributed with this work for additional
+ *  information regarding copyright ownership.
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpuHelper.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpuHelper.java
deleted file mode 100644
index 26f4271ab..000000000
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpuHelper.java
+++ /dev/null
@@ -1,20 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.nativeblas;
-
-public abstract class Nd4jCpuHelper extends Nd4jCpuPresets implements NativeOps {
-}
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
index 2cabb129e..513a2ec82 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.compression.NDArrayCompressor
@@ -1,3 +1,242 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
index a55f78067..0f7564a44 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/META-INF/services/org.nd4j.linalg.factory.Nd4jBackend
@@ -1,3 +1,242 @@
+#
+# /*
+#  *  ******************************************************************************
+#  *  *
+#  *  *
+#  *  * This program and the accompanying materials are made available under the
+#  *  * terms of the Apache License, Version 2.0 which is available at
+#  *  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *  *
+#  *  *  See the NOTICE file distributed with this work for additional
+#  *  *  information regarding copyright ownership.
+#  *  * Unless required by applicable law or agreed to in writing, software
+#  *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  *  * License for the specific language governing permissions and limitations
+#  *  * under the License.
+#  *  *
+#  *  * SPDX-License-Identifier: Apache-2.0
+#  *  *****************************************************************************
+#  */
+#
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/nd4j-native.properties b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/nd4j-native.properties
index 107599992..5a5f8fb3c 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/nd4j-native.properties
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/resources/nd4j-native.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 real.class.double = org.nd4j.linalg.cpu.NDArray
 shapeinfoprovider = org.nd4j.linalg.cpu.nativecpu.DirectShapeInfoProvider
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/test/resources/logback.xml b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/test/resources/logback.xml
index 3f88b92bb..58029f4e9 100755
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/test/resources/logback.xml
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/pom.xml b/nd4j/nd4j-backends/nd4j-backend-impls/pom.xml
index ad06ffd4a..bc33dfc2b 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/pom.xml
@@ -1,26 +1,35 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        nd4j-backends
         org.nd4j
+        nd4j-backends
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-backend-impls
     pom
@@ -54,13 +63,29 @@
         windows-x86_64${javacpp.platform.extension}
     
 
+    
+        
+            
+                org.bytedeco
+                javacpp
+                ${javacpp.version}
+            
+            
+                org.bytedeco
+                javacpp
+                ${javacpp.version}
+                ${dependency.platform}
+            
+        
+    
 
     
-
         
             
             
+                org.apache.maven.plugins
                 maven-javadoc-plugin
+                ${maven-javadoc-plugin.version}
                 
                     
                         attach-javadocs
@@ -106,11 +131,11 @@
                         
                             **/Nd4jTestSuite.java
                         
-
+                        -->
                         
         
-          android-arm-default
-          
-            
-              javacpp.platform
-              android-arm
-            
-          
-          
-            android-arm-clang
-            ${env.ANDROID_NDK}
-            toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
-            
-          
+            android-arm-default
+            
+                
+                    javacpp.platform
+                    android-arm
+                
+            
+            
+                android-arm-clang
+                ${env.ANDROID_NDK}
+                
+                    toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
+                
+                
+            
         
         
-          android-arm64-default
-          
-            
-              javacpp.platform
-              android-arm64
-            
-          
-          
-            android-arm64-clang
-            ${env.ANDROID_NDK}
-            toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
-            
-          
+            android-arm64-default
+            
+                
+                    javacpp.platform
+                    android-arm64
+                
+            
+            
+                android-arm64-clang
+                ${env.ANDROID_NDK}
+                
+                    toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
+                
+                
+            
         
         
-          android-x86-default
-          
-            
-              javacpp.platform
-              android-x86
-            
-          
-          
-            android-x86-clang
-            ${env.ANDROID_NDK}
-            toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
-            
-          
+            android-x86-default
+            
+                
+                    javacpp.platform
+                    android-x86
+                
+            
+            
+                android-x86-clang
+                ${env.ANDROID_NDK}
+                
+                    toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
+                
+                
+            
         
         
-          android-x86_64-default
-          
-            
-              javacpp.platform
-              android-x86_64
-            
-          
-          
-            android-x86_64-clang
-            ${env.ANDROID_NDK}
-            toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
-            
-          
+            android-x86_64-default
+            
+                
+                    javacpp.platform
+                    android-x86_64
+                
+            
+            
+                android-x86_64-clang
+                ${env.ANDROID_NDK}
+                
+                    toolchains/llvm/prebuilt/${os.name}-${os.arch}/bin/clang++
+                
+                
+            
         
         
-          ios-arm64
-          
-            
-              javacpp.platform
-              ios-arm64
-            
-          
-          
-            ios-arm64
-            
-          
+            ios-arm64
+            
+                
+                    javacpp.platform
+                    ios-arm64
+                
+            
+            
+                ios-arm64
+                
+            
         
         
-          ios-x86_64
-          
-            
-              javacpp.platform
-              ios-x86_64
-            
-          
-          
-            ios-x86_64
-            
-          
+            ios-x86_64
+            
+                
+                    javacpp.platform
+                    ios-x86_64
+                
+            
+            
+                ios-x86_64
+                
+            
         
         
-          linux-armhf-default
-          
-            
-              javacpp.platform
-              linux-armhf
-            
-          
-          
-            linux-armhf
-            /home/almanac/raspberrypi/tools/arm-bcm2708/arm-rpi-4.9.3-linux-gnueabihf
-            bin/arm-linux-gnueabihf-g++
-            
-          
+            linux-armhf-default
+            
+                
+                    javacpp.platform
+                    linux-armhf
+                
+            
+            
+                linux-armhf
+                
+                    /home/almanac/raspberrypi/tools/arm-bcm2708/arm-rpi-4.9.3-linux-gnueabihf
+                
+                bin/arm-linux-gnueabihf-g++
+                
+            
         
         
-          linux-arm64-default
-          
-            
-              javacpp.platform
-              linux-arm64
-            
-          
-          
-            linux-arm64
-            aarch64-linux-gnu-g++
-            
-          
+            linux-arm64-default
+            
+                
+                    javacpp.platform
+                    linux-arm64
+                
+            
+            
+                linux-arm64
+                aarch64-linux-gnu-g++
+                
+            
         
         
-          linux-ppc64le-default
-          
-            
-              javacpp.platform
-              linux-ppc64le
-            
-          
-          
-            linux-ppc64le
-            powerpc64le-linux-gnu-g++
-            
-          
+            linux-ppc64le-default
+            
+                
+                    javacpp.platform
+                    linux-ppc64le
+                
+            
+            
+                linux-ppc64le
+                powerpc64le-linux-gnu-g++
+                
+            
         
-
         
         
             no-platform-dependency
@@ -512,11 +544,9 @@
                 
             
         
-
         
             testresources
         
-
         
         
@@ -530,7 +560,6 @@
                 android-arm${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.android-arm64-true
             
@@ -542,7 +571,6 @@
                 android-arm64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.android-x86-true
             
@@ -554,7 +582,6 @@
                 android-x86${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.android-x86_64-true
             
@@ -566,7 +593,6 @@
                 android-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.ios-arm-true
             
@@ -578,7 +604,6 @@
                 ios-arm${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.ios-arm64-true
             
@@ -590,7 +615,6 @@
                 ios-arm64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.ios-x86-true
             
@@ -602,7 +626,6 @@
                 ios-x86${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.ios-x86_64-true
             
@@ -614,7 +637,6 @@
                 ios-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.linux-armhf-true
             
@@ -626,7 +648,6 @@
                 linux-armhf${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.linux-arm64-true
             
@@ -638,7 +659,6 @@
                 linux-arm64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.linux-ppc64le-true
             
@@ -650,7 +670,6 @@
                 linux-ppc64le${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.linux-x86-true
             
@@ -662,7 +681,6 @@
                 linux-x86${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.linux-x86_64-true
             
@@ -674,7 +692,6 @@
                 linux-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.macosx-x86_64-true
             
@@ -686,7 +703,6 @@
                 macosx-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.windows-x86-true
             
@@ -698,7 +714,6 @@
                 windows-x86${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.windows-x86_64-true
             
@@ -710,7 +725,6 @@
                 windows-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-arm
             
@@ -718,14 +732,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxarm
+                    linux
+                    arm
                 
             
             
                 linux-armhf${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-armhf
             
@@ -733,14 +747,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxarmhf
+                    linux
+                    armhf
                 
             
             
                 linux-armhf${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-aarch64
             
@@ -748,14 +762,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxaarch64
+                    linux
+                    aarch64
                 
             
             
                 linux-arm64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-armv8
             
@@ -763,14 +777,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxarmv8
+                    linux
+                    armv8
                 
             
             
                 linux-arm64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-arm64
             
@@ -778,14 +792,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxarm64
+                    linux
+                    arm64
                 
             
             
                 linux-arm64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-ppc64le
             
@@ -793,14 +807,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxppc64le
+                    linux
+                    ppc64le
                 
             
             
                 linux-ppc64le${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-amd64
             
@@ -808,14 +822,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxamd64
+                    linux
+                    amd64
                 
             
             
                 linux-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-x86-64
             
@@ -823,14 +837,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxx86-64
+                    linux
+                    x86-64
                 
             
             
                 linux-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-linux-x86_64
             
@@ -838,14 +852,14 @@
                     javacpp.platform.host
                 
                 
-                    linuxx86_64
+                    linux
+                    x86_64
                 
             
             
                 linux-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-macosx-amd64
             
@@ -853,14 +867,14 @@
                     javacpp.platform.host
                 
                 
-                    mac os xamd64
+                    mac os x
+                    amd64
                 
             
             
                 macosx-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-macosx-x86-64
             
@@ -868,14 +882,14 @@
                     javacpp.platform.host
                 
                 
-                    mac os xx86-64
+                    mac os x
+                    x86-64
                 
             
             
                 macosx-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-macosx-x86_64
             
@@ -883,49 +897,53 @@
                     javacpp.platform.host
                 
                 
-                    mac os xx86_64
+                    mac os x
+                    x86_64
                 
             
             
                 macosx-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-windows-amd64
             
                 
                     javacpp.platform.host
                 
-                windowsamd64
+                
+                    windows
+                    amd64
                 
             
             
                 windows-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-windows-x86-64
             
                 
                     javacpp.platform.host
                 
-                windowsx86-64
+                
+                    windows
+                    x86-64
                 
             
             
                 windows-x86_64${javacpp.platform.extension}
             
         
-
         
             javacpp.platform.custom-windows-x86_64
             
                 
                     javacpp.platform.host
                 
-                windowsx86_64
+                
+                    windows
+                    x86_64
                 
             
             
@@ -933,20 +951,4 @@
             
         
     
-
-    
-        
-            
-                maven-surefire-report-plugin
-                2.19.1
-            
-            
-            
-                org.codehaus.mojo
-                cobertura-maven-plugin
-                2.7
-            
-        
-    
-
 
diff --git a/nd4j/nd4j-backends/nd4j-tests-tensorflow/pom.xml b/nd4j/nd4j-backends/nd4j-tests-tensorflow/pom.xml
index 66efac0fe..16bbee20c 100644
--- a/nd4j/nd4j-backends/nd4j-tests-tensorflow/pom.xml
+++ b/nd4j/nd4j-backends/nd4j-tests-tensorflow/pom.xml
@@ -1,35 +1,40 @@
 
+
 
-
+
+
+    4.0.0
 
-
     
-        nd4j-backends
         org.nd4j
+        nd4j-backends
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-tests-tensorflow
 
     nd4j-tests-tensorflow
 
-
     
         1.8
         1.8
@@ -38,6 +43,29 @@
         1.8
     
 
+    
+        
+            org.nd4j
+            nd4j-tensorflow
+            ${project.version}
+        
+        
+            junit
+            junit
+        
+        
+            ch.qos.logback
+            logback-classic
+            test
+        
+        
+            org.nd4j
+            nd4j-common-tests
+            ${project.version}
+            test
+        
+    
+
     
         ${test.root}
         
@@ -67,34 +95,6 @@
         
     
 
-
-    
-        
-            org.nd4j
-            nd4j-tensorflow
-            ${project.version}
-        
-
-        
-            junit
-            junit
-        
-
-        
-            ch.qos.logback
-            logback-classic
-            ${logback.version}
-            test
-        
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
-    
-
     
         
             testresources
@@ -134,7 +134,6 @@
             
                 src/test/gpujava
             
-
             
                 
                     
@@ -204,14 +203,17 @@
                             
                         
                         
-                            ${project.basedir}/src/test/gpujava
+                            ${project.basedir}/src/test/gpujava
+                            
                             
                                 **/*.java
                             
                             
-                                org.nd4j.linalg.jcublas.JCublasBackend
+                                
+                                    org.nd4j.linalg.jcublas.JCublasBackend
                                 
-                                org.nd4j.linalg.jcublas.JCublasBackend
+                                
+                                    org.nd4j.linalg.jcublas.JCublasBackend
                                 
                             
                             
+
+
 
-
-    
-        nd4j-backends
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
+
     4.0.0
 
+    
+        org.nd4j
+        nd4j-backends
+        1.0.0-SNAPSHOT
+    
+
     nd4j-tests
-    1.0.0-SNAPSHOT
-    jar
 
     nd4j-tests
 
-
     
+        1.4.30-M1
+        1.8
+        true
+        4.12
+        5.4.2
+        UTF-8
+        1.8
+        1.8
+        1.8
+        3.1.1
+
         1.8
         1.8
         2.11
         1.8
         1.8
     
+
     
         
             
-                maven-compiler-plugin
-                
-                    1.8
-                    1.8
-                
+                org.projectlombok
+                lombok-maven-plugin
+                1.18.12.0
+                
+                    
+                        delombok
+                        generate-sources
+                        
+                            delombok
+                        
+                        
+                            
+                                skip
+                            
+                            true
+                        
+                    
+                    
+                        test-delombok
+                        generate-test-sources
+                        
+                            testDelombok
+                        
+                        
+                            true
+                        
+                    
+                
             
+
+
+            
+                org.codehaus.mojo
+                build-helper-maven-plugin
+                3.0.0
+                
+                    
+                        add-source
+                        generate-sources
+                        add-source
+                        
+                            
+                                src/main/stubs
+                            
+                        
+                    
+                
+            
+
+            
+                org.apache.maven.plugins
+                maven-shade-plugin
+                ${maven-shade-plugin.version}
+                
+                    true
+                    false
+                    
+                        
+                            *:*
+                            
+                                org/datanucleus/**
+                                META-INF/*.SF
+                                META-INF/*.DSA
+                                META-INF/*.RSA
+                            
+                        
+                    
+
+                
+
+                
+                    
+                        package
+                        
+                            shade
+                        
+                        
+                            
+                                
+                                    reference.conf
+                                
+                                
+                                
+                            
+                        
+                    
+                
+            
+
+            
+                org.jetbrains.kotlin
+                kotlin-maven-plugin
+                1.4.30-M1
+                
+                    
+                        -Xjsr305=strict
+                    
+                    
+                        spring
+                        jpa
+                    
+                
+                
+                    
+                        org.jetbrains.kotlin
+                        kotlin-maven-allopen
+                        ${kotlin.version}
+                    
+                    
+                        org.jetbrains.kotlin
+                        kotlin-maven-noarg
+                        ${kotlin.version}
+                    
+                
+                
+                    
+                        compile
+                         compile 
+                        
+                            
+                                ${project.basedir}/src/main/stubs
+                                ${project.basedir}/src/main/kotlin
+                                ${project.basedir}/src/main/java
+                                ${project.basedir}/src/main/ops
+                            
+                        
+                    
+                    
+                        test-compile
+                         test-compile 
+                        
+                            
+                                ${project.basedir}/src/test/stubs
+                                ${project.basedir}/src/test/kotlin
+                                ${project.basedir}/src/test/java
+                                ${project.basedir}/src/test/ops
+                            
+                        
+                    
+                
+            
+
+            
             
                 org.apache.maven.plugins
                 maven-compiler-plugin
+                3.5.1
+                
+                    
+                    
+                        default-compile
+                        none
+                    
+                    
+                    
+                        default-testCompile
+                        none
+                    
+                    
+                        java-compile
+                        compile
+                         compile 
+                    
+                    
+                        java-test-compile
+                        test-compile
+                         testCompile 
+                    
+                
                 
-                    8
-                    8
+                    ${java.version}
+                    ${java.version}
                 
             
         
     
+
     
+        
+        
+            org.junit.jupiter
+            junit-jupiter-api
+            ${junit-jupiter.version}
+            test
+        
+        
+            org.junit.jupiter
+            junit-jupiter-engine
+            ${junit-jupiter.version}
+            test
+        
 
+        
+            org.jetbrains.kotlin
+            kotlin-stdlib-jdk8
+            ${kotlin.version}
+        
+        
+            org.jetbrains.kotlin
+            kotlin-test
+            ${kotlin.version}
+            test
+        
 
+        
+            org.nd4j
+            samediff-import-tensorflow
+            ${project.version}
+        
+        
+            org.nd4j
+            samediff-import-onnx
+            ${project.version}
+        
         
             junit
             junit
         
-
         
             org.nd4j
             nd4j-api
-            ${project.version}
         
-
         
             org.nd4j
             nd4j-native-api
-            ${project.version}
         
-
         
         
             org.nd4j
             jackson
             ${project.version}
         
-
         
             ch.qos.logback
             logback-classic
-            ${logback.version}
         
-
         
             ch.qos.logback
             logback-core
-            ${logback.version}
         
-
         
             org.springframework
             spring-core
             5.0.2.RELEASE
             test
         
-
         
             org.apache.commons
             commons-math3
             3.6.1
             test
         
-
         
             org.reflections
             reflections
@@ -121,7 +321,6 @@
                 
             
         
-
         
             org.nd4j
             nd4j-common-tests
@@ -136,30 +335,13 @@
         
     
 
-    
-        
-            
-                maven-surefire-report-plugin
-                2.19.1
-            
-            
-            
-                org.codehaus.mojo
-                cobertura-maven-plugin
-                2.7
-            
-        
-    
-
     
         
             testresources
         
-
         
             nd4j-testresources
         
-
         
             nd4j-tests-cpu
             
@@ -179,7 +361,8 @@
                         maven-surefire-plugin
                         
                             
-                                ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
+                                
+                                    ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
                                 
                             
                             src/test/java
@@ -192,9 +375,11 @@
                             
                             junit:junit
                             
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
                             
                             
+
 
 
 
@@ -35,8 +39,8 @@
 
     
 	
-	
-	
+	
+	
 
 
 	
diff --git a/nd4j/nd4j-backends/nd4j-tests/variables-added-new.txt b/nd4j/nd4j-backends/nd4j-tests/variables-added-new.txt
new file mode 100644
index 000000000..fe6dc4d50
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-tests/variables-added-new.txt
@@ -0,0 +1,5 @@
+in_0/read,in_0/read
+in_1/read,in_1/read
+in_2/read,in_2/read
+Assign,Assign
+ScatterNdSub,ScatterNdSub
diff --git a/nd4j/nd4j-backends/nd4j-tests/variables-added-old.txt b/nd4j/nd4j-backends/nd4j-tests/variables-added-old.txt
new file mode 100644
index 000000000..c273a0be4
--- /dev/null
+++ b/nd4j/nd4j-backends/nd4j-tests/variables-added-old.txt
@@ -0,0 +1 @@
+Sum,Sum
diff --git a/nd4j/nd4j-backends/pom.xml b/nd4j/nd4j-backends/pom.xml
index 59228e141..f246e44ec 100644
--- a/nd4j/nd4j-backends/pom.xml
+++ b/nd4j/nd4j-backends/pom.xml
@@ -1,33 +1,41 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
-        nd4j
         org.nd4j
+        nd4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-backends
     pom
 
     nd4j-backends
 
-
     
         nd4j-tests
         nd4j-backend-impls
@@ -40,5 +48,4 @@
             testresources
         
     
-
 
diff --git a/nd4j/nd4j-common-tests/pom.xml b/nd4j/nd4j-common-tests/pom.xml
index ab280ae0a..9134e21cc 100644
--- a/nd4j/nd4j-common-tests/pom.xml
+++ b/nd4j/nd4j-common-tests/pom.xml
@@ -1,15 +1,38 @@
 
+
+
 
-    
-        nd4j
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
     4.0.0
 
+    
+        org.nd4j
+        nd4j
+        1.0.0-SNAPSHOT
+    
+
     nd4j-common-tests
+
     
         1.8
         1.8
@@ -24,14 +47,12 @@
         
             org.nd4j
             nd4j-api
-            ${project.version}
         
         
             ch.qos.logback
             logback-classic
-            ${logback.version}
         
-	    
+        
             org.reflections
             reflections
             ${reflections.version}
@@ -41,18 +62,15 @@
                     *
                 
             
-	    
-
+        
         
         
             org.springframework
             spring-core
             5.0.2.RELEASE
         
-
     
 
-
     
         
             nd4j-tests-cpu
@@ -67,4 +85,4 @@
             nd4j-testresources
         
     
-
\ No newline at end of file
+
diff --git a/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/AbstractAssertTestsClass.java b/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/AbstractAssertTestsClass.java
index 5befedba3..95b5d027f 100644
--- a/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/AbstractAssertTestsClass.java
+++ b/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/AbstractAssertTestsClass.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.common.tests;
 
 import lombok.extern.slf4j.Slf4j;
@@ -27,14 +31,6 @@ import java.util.*;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * This class checks that all test classes (i.e., anything with one or more methods annotated with @Test)
- * extends BaseDl4jTest - either directly or indirectly.
- * Other than a small set of exceptions, all tests must extend this
- *
- * @author Alex Black
- * @author Alexander Stoyakin 
- */
 @Slf4j
 public abstract class AbstractAssertTestsClass extends BaseND4JTest {
 
diff --git a/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/BaseND4JTest.java b/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/BaseND4JTest.java
index eceec6216..e105cf706 100644
--- a/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/BaseND4JTest.java
+++ b/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/BaseND4JTest.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019-2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tests;
 
diff --git a/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/ResourceUtils.java b/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/ResourceUtils.java
index bafe94094..ec307d3c5 100644
--- a/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/ResourceUtils.java
+++ b/nd4j/nd4j-common-tests/src/main/java/org/nd4j/common/tests/ResourceUtils.java
@@ -1,18 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.nd4j.common.tests;
 
 import org.nd4j.common.io.ClassPathResource;
@@ -25,11 +29,6 @@ import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Utilities for dealing with class path resources such as test files in JARs
- *
- * @author Alex Black
- */
 public class ResourceUtils {
 
     private ResourceUtils() {
diff --git a/nd4j/nd4j-common/pom.xml b/nd4j/nd4j-common/pom.xml
index d75c82cf4..e92faac77 100644
--- a/nd4j/nd4j-common/pom.xml
+++ b/nd4j/nd4j-common/pom.xml
@@ -1,48 +1,96 @@
-
+
+
+
+
 
-
-    
-        nd4j
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j
+        1.0.0-SNAPSHOT
+    
+
     nd4j-common
-    jar
 
     nd4j-common
-    
-        
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    8
-                    8
-                
-            
-        
-    
+
     
-        1.7
-        1.7
+        8
+        8
     
 
+    
+        
+            org.nd4j
+            jackson
+            ${project.version}
+        
+        
+            org.nd4j
+            guava
+            ${project.version}
+        
+        
+            org.slf4j
+            slf4j-api
+        
+        
+            junit
+            junit
+        
+        
+            commons-io
+            commons-io
+            ${commons-io.version}
+        
+        
+            org.apache.commons
+            commons-math3
+            ${commons-math3.version}
+        
+        
+            org.apache.commons
+            commons-lang3
+            ${commons-lang3.version}
+        
+        
+            org.apache.commons
+            commons-compress
+            ${commons-compress.version}
+        
+        
+            commons-codec
+            commons-codec
+            ${commons-codec.version}
+        
+        
+            ch.qos.logback
+            logback-classic
+            test
+        
+    
+
     
         
             jdk9
@@ -57,82 +105,4 @@
             testresources
         
     
-
-
-    
-        
-            
-                ch.qos.logback
-                logback-classic
-                ${logback.version}
-            
-            
-                ch.qos.logback
-                logback-core
-                ${logback.version}
-            
-
-        
-    
-
-
-    
-        
-            org.nd4j
-            jackson
-            ${project.version}
-        
-
-        
-            org.nd4j
-            guava
-            ${project.version}
-        
-
-        
-            org.slf4j
-            slf4j-api
-        
-
-        
-            junit
-            junit
-            test
-        
-
-        
-            commons-io
-            commons-io
-            ${commons-io.version}
-        
-
-        
-            org.apache.commons
-            commons-math3
-            ${commons-math3.version}
-        
-        
-            org.apache.commons
-            commons-lang3
-            ${commons-lang3.version}
-        
-
-        
-            org.apache.commons
-            commons-compress
-            ${commons-compress.version}
-        
-
-        
-            commons-codec
-            commons-codec
-            ${commons-codec.version}
-        
-
-        
-            ch.qos.logback
-            logback-classic
-            test
-        
-    
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/Preconditions.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/Preconditions.java
index ef6a0a97a..c8bc3966d 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/Preconditions.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/Preconditions.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.base;
 
@@ -20,11 +24,6 @@ import org.nd4j.common.config.ND4JClassLoading;
 
 import java.util.*;
 
-/**
- * Utility method for method checking arguments.
- *
- * @author Alex Black
- */
 public final class Preconditions {
     private static final Map FORMATTERS = new HashMap<>();
     static {
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/PreconditionsFormat.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/PreconditionsFormat.java
index 7e965489a..8d598d546 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/PreconditionsFormat.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/base/PreconditionsFormat.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.base;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/CompactHeapStringList.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/CompactHeapStringList.java
index 7e36ac29e..b7a25f248 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/CompactHeapStringList.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/CompactHeapStringList.java
@@ -1,36 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.collection;
 
 import java.util.*;
 
-/**
- * A {@code List} that stores all contents in a single char[], to avoid the GC load for a large number of String
- * objects.
        
- * 
        
- * Some restrictions to be aware of with the current implementation:
        
- * - The list is intended to be write-once (append only), except for clear() operations. That is: new Strings can be added
- *   at the end, but they cannot be replaced or removed.
        
- * - There is a limit of a maximum of {@link Integer#MAX_VALUE}/2 = 1073741823 Strings
        
- * - There is a limit of the maximum total characters of {@link Integer#MAX_VALUE} (i.e., 2147483647 chars). This corresponds
- *   to a maximum of approximately 4GB of Strings.
        
- *
- * @author Alex Black
- */
 public class CompactHeapStringList implements List {
     public static final int DEFAULT_REALLOCATION_BLOCK_SIZE_BYTES = 8 * 1024 * 1024; //8MB
     public static final int DEFAULT_INTEGER_REALLOCATION_BLOCK_SIZE_BYTES = 1024 * 1024; //1MB - 262144 ints, 131k entries
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeyMap.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeyMap.java
index f1215e7a2..4c892cefa 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeyMap.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeyMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.collection;
 
@@ -22,12 +26,6 @@ import org.nd4j.common.base.Preconditions;
 
 import java.util.*;
 
-/**
- * A map for int arrays backed by a {@link java.util.TreeMap}
- * @param  the value for the map.
- *
- * @author Adam Gibson
- */
 public class IntArrayKeyMap implements Map {
 
     private Map map = new LinkedHashMap<>();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeySet.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeySet.java
index fa5fc531d..1a8893cda 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeySet.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/IntArrayKeySet.java
@@ -1,31 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.collection;
 
 import java.util.*;
 
-/**
- * Provides a wrapper for a {@link TreeSet}
- * that uses {@link IntArrayKeyMap.IntArray}
- * for proper comparison of int arrays
- * as keys.
- *
- * @author Adam Gibson
- */
 public class IntArrayKeySet implements Set {
     private Set set = new LinkedHashSet<>();
     @Override
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalMap.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalMap.java
index 9cf229710..a88871152 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalMap.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.collection;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalSet.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalSet.java
index 56e7716be..c5712d3eb 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalSet.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collection/MultiDimensionalSet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.collection;
 
@@ -21,9 +25,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.*;
 import java.util.concurrent.ConcurrentSkipListSet;
 
-/**
- * Created by agibsonccc on 4/29/14.
- */
 public class MultiDimensionalSet implements Set> {
 
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collections/WeakIdentityHashMap.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collections/WeakIdentityHashMap.java
index 258654471..cdaabaf5a 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/collections/WeakIdentityHashMap.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/collections/WeakIdentityHashMap.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.collections;
 
 import lombok.*;
@@ -7,14 +27,6 @@ import java.lang.ref.ReferenceQueue;
 import java.lang.ref.WeakReference;
 import java.util.*;
 
-/**
- * A hash map implementation with weak identity keys.
- * For details, see {@link WeakHashMap} and {@link IdentityHashMap}
- *
- * @param  Key type
- * @param  Value type
- * @author Alex Black
- */
 public class WeakIdentityHashMap implements Map {
 
     protected final Map, V> map;
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JClassLoading.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JClassLoading.java
index 444010788..83deeaf5e 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JClassLoading.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JClassLoading.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) Eclipse Deeplearning4j Contributors 2020
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.config;
 
@@ -20,27 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 
 import java.util.ServiceLoader;
 
-/**
- * Global context for class-loading in ND4J.
- * 
        Use {@code ND4JClassLoading} to define classloader for ND4J only! To define classloader used by
- * {@code Deeplearning4j} use class {@link org.deeplearning4j.common.config.DL4JClassLoading}.
- *
- * 
        Usage:
- * 
        {@code
- * public class Application {
- *     static {
- *         ND4JClassLoading.setNd4jClassloaderFromClass(Application.class);
- *     }
- *
- *     public static void main(String[] args) {
- *     }
- * }
- * }
- *
- * @see org.deeplearning4j.common.config.DL4JClassLoading
- *
- * @author Alexei KLENIN
- */
 @Slf4j
 public final class ND4JClassLoading {
     private static ClassLoader nd4jClassloader = Thread.currentThread().getContextClassLoader();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JEnvironmentVars.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JEnvironmentVars.java
index ed5783440..ecd1a80a1 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JEnvironmentVars.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JEnvironmentVars.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.config;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JSystemProperties.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JSystemProperties.java
index 3e0a9a999..ba1d011cd 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JSystemProperties.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/config/ND4JSystemProperties.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.config;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiConsumer.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiConsumer.java
index 167f4c160..439ee14bd 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiConsumer.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiConsumer.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * BiConsumer is an operation that accepts two arguments and returns no result.
- *
- * @param  Type of first argument
- * @param  Type of second argument
- */
 public interface BiConsumer {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiFunction.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiFunction.java
index 3365303bf..debaa89f1 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiFunction.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiFunction.java
@@ -1,28 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * A function that accepts two arguments and returns a result
- *
- * @param  Type of first argument
- * @param  Type of second argument
- * @param  Type of result
- */
 public interface BiFunction {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiPredicate.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiPredicate.java
index 344fa5319..52450dde5 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiPredicate.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/BiPredicate.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * A predicate (boolean valued function) with two arguments.
- *
- * @param  Type of first argument
- * @param  Type of second argument
- */
 public interface BiPredicate {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Consumer.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Consumer.java
index 911c5819e..da6add192 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Consumer.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Consumer.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * A function that accepts a single input and returns no result
- *
- * @param  Type of the input
- */
 public interface Consumer {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Function.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Function.java
index ea6103dd3..fa8ec40c6 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Function.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Function.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * A Function accepts one argument and returns a result
- * @param  Type of the argument
- * @param  Type of the result
- */
 public interface Function {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/FunctionalUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/FunctionalUtils.java
index 95ea6f21e..c62ae71a5 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/FunctionalUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/FunctionalUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
@@ -23,14 +27,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A simple util class for collapsing a {@link Map}
- * in to a {@link List} of {@link Pair}
- * where each item in the list will be an entry in the map
- * represented by a {@link Pair} of the original key and value type.
- *
- * @author Adam Gibson
- */
 public class FunctionalUtils {
 
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Predicate.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Predicate.java
index 35aca1bc2..a0d2cfc93 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Predicate.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Predicate.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * A boolean valued function of a single input argument
- *
- * @param  Type of the input
- */
 public interface Predicate {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Supplier.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Supplier.java
index 12696cce5..d29ca3ee8 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Supplier.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/Supplier.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/UnaryOperator.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/UnaryOperator.java
index a18c0f068..894e0263b 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/UnaryOperator.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/function/UnaryOperator.java
@@ -1,25 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
-/**
- * A specialization of {@link Function} where the input and return types are the same
- *
- * @param  Input and return types
- */
 public interface UnaryOperator extends Function {
 }
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/holder/ObjectMapperHolder.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/holder/ObjectMapperHolder.java
index 2a0dba43c..37fe23de8 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/holder/ObjectMapperHolder.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/holder/ObjectMapperHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.holder;
 
@@ -20,12 +24,6 @@ import org.nd4j.shade.jackson.annotation.JsonAutoDetect;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 import org.nd4j.shade.jackson.databind.ObjectMapper;
 
-/**
- * A simple object mapper holder for
- * using one single {@link ObjectMapper}
- * across the whole project.
- *
- */
 public class ObjectMapperHolder {
 
     private static ObjectMapper objectMapper = getMapper();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractFileResolvingResource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractFileResolvingResource.java
index 01adf1f3f..69728a1c3 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractFileResolvingResource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractFileResolvingResource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractResource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractResource.java
index f9c90475d..a6595a0e3 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractResource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/AbstractResource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Assert.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Assert.java
index ad078a74f..5da760b45 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Assert.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Assert.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ClassPathResource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ClassPathResource.java
index ce44a7991..cf3d45944 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ClassPathResource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ClassPathResource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
@@ -32,12 +36,6 @@ import java.util.Enumeration;
 import java.util.zip.ZipEntry;
 import java.util.zip.ZipFile;
 
-/**
- * A slightly upgraded version of spring's
- * classpath resource
- *
- *
- */
 public class ClassPathResource extends AbstractFileResolvingResource {
 
     private final String path;
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/CollectionUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/CollectionUtils.java
index c2d3e48bb..268c6fac0 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/CollectionUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/CollectionUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/InputStreamSource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/InputStreamSource.java
index 877e2e8c2..da66184be 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/InputStreamSource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/InputStreamSource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ObjectUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ObjectUtils.java
index f0f0bf0cf..e1dcf32e9 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ObjectUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ObjectUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ReflectionUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ReflectionUtils.java
index 0371e24dd..2a70e13d5 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ReflectionUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ReflectionUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Resource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Resource.java
index cf9d25767..1a7654848 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Resource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/Resource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
@@ -22,9 +26,6 @@ import java.io.IOException;
 import java.net.URI;
 import java.net.URL;
 
-/**
- * Resource
- */
 public interface Resource extends InputStreamSource {
     /**
      * Whether the resource exists on the classpath
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ResourceUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ResourceUtils.java
index 83d420008..32dc203e0 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ResourceUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/ResourceUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/StringUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/StringUtils.java
index 1f5c86907..9f4fecbec 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/StringUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/StringUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsResource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsResource.java
index 196b644dc..1174d7131 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsResource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsResource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsUtils.java
index 33988eab1..2255c8176 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/io/VfsUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/FileBatch.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/FileBatch.java
index 2649ecf83..a7147d798 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/FileBatch.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/FileBatch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
@@ -30,15 +34,6 @@ import java.util.zip.ZipEntry;
 import java.util.zip.ZipInputStream;
 import java.util.zip.ZipOutputStream;
 
-/**
- * FileBatch: stores the raw contents of multiple files in byte arrays (one per file) along with their original paths.
- * FileBatch can be stored to disk (or any output stream) in zip format.
- * Typical use cases include creating batches of data in their raw format for distributed training. This can reduce the
- * number of disk reads required (fewer files) and network transfers when reading from remote storage, due to the zip
- * format used for compression.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @Data
 public class FileBatch implements Serializable {
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Loader.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Loader.java
index f7502946d..e0e0a6823 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Loader.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Loader.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
 import java.io.IOException;
 import java.io.Serializable;
 
-/**
- * A simple interface for loading objects from a {@link Source} object
- *
- * @param  Type of loaded object
- * @author Alex Black
- */
 public interface Loader extends Serializable {
 
     T load(Source source) throws IOException;
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSource.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSource.java
index 3e13d8c97..2955fb51a 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSource.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSource.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
@@ -21,9 +25,6 @@ import lombok.Getter;
 
 import java.io.*;
 
-/**
- * A simple {@link Source} that returns a (buffered) FileInputStream for the specified file path
- */
 @AllArgsConstructor
 public class LocalFileSource implements Source {
     @Getter
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSourceFactory.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSourceFactory.java
index 2e6bd33bd..a1c25af66 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSourceFactory.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/LocalFileSourceFactory.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Source.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Source.java
index f80437c9c..7657391f7 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Source.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/Source.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
 import java.io.IOException;
 import java.io.InputStream;
 
-/**
- * Used with {@link Loader} to represent the source of an object. The source is a path, usually a URI that can
- * be used to generate an {@link InputStream}
- *
- * @author Alex Black
- */
 public interface Source {
     InputStream getInputStream() throws IOException;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/SourceFactory.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/SourceFactory.java
index 533bd2691..4d94be995 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/SourceFactory.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/loader/SourceFactory.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
 import java.io.Serializable;
 
-/**
- * A factory interface for getting {@link Source} objects given a String path
- * @author Alex Black
- */
 public interface SourceFactory extends Serializable {
     Source getSource(String path);
 }
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Atomic.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Atomic.java
index 24101da13..fed1b1405 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Atomic.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Atomic.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicBoolean.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicBoolean.java
index a45c2f593..62a61c185 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicBoolean.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicBoolean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicDouble.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicDouble.java
index d9747ab91..1500c30e0 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicDouble.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/AtomicDouble.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Counter.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Counter.java
index d3f23ec1e..746bd0105 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Counter.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Counter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -21,10 +25,6 @@ import java.io.Serializable;
 import java.util.*;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * Simple counter implementation
- * @author
- */
 public class Counter implements Serializable {
     private static final long serialVersionUID = 119L;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/CounterMap.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/CounterMap.java
index b4521c869..1cc6758e6 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/CounterMap.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/CounterMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -24,10 +28,6 @@ import java.util.Map;
 import java.util.Set;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @EqualsAndHashCode
 public class CounterMap implements Serializable{
     private static final long serialVersionUID = 119L;
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutablePair.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutablePair.java
index d7093d8ee..b077608eb 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutablePair.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutablePair.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -20,11 +24,6 @@ import lombok.*;
 
 import java.io.Serializable;
 
-/**
- * Simple pair implementation
- *
- * @author raver119@gmail.com
- */
 @AllArgsConstructor
 @Data
 @Builder
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableQuad.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableQuad.java
index c5f7ccb16..fec871d8b 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableQuad.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableQuad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -20,10 +24,6 @@ import lombok.*;
 
 import java.io.Serializable;
 
-/**
- * Simple quad elements holder implementation
- * @author raver119@gmail.com
- */
 @Data
 @AllArgsConstructor
 @Builder
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableTriple.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableTriple.java
index d85bc2153..c0f8af9d1 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableTriple.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/ImmutableTriple.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -20,10 +24,6 @@ import lombok.*;
 
 import java.io.Serializable;
 
-/**
- * Simple triple elements holder implementation
- * @author raver119@gmail.com
- */
 @Data
 @AllArgsConstructor
 @Builder
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Optional.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Optional.java
index 1a2bd1860..ba947cacd 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Optional.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Optional.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -21,12 +25,6 @@ import lombok.NonNull;
 
 import java.util.NoSuchElementException;
 
-/**
- * Simple Optional class, based loosely on Java 8's optional class
- *
- * @param  Type for optional
- * @author Alex Black
- */
 @EqualsAndHashCode
 public class Optional {
     private static final Optional EMPTY = new Optional();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Pair.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Pair.java
index 84633d22a..223f37fa4 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Pair.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Pair.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -25,11 +29,6 @@ import java.io.Serializable;
 import java.util.Arrays;
 import org.nd4j.common.base.Preconditions;
 
-/**
- * Simple pair implementation
- *
- * @author raver119@gmail.com
- */
 @AllArgsConstructor
 @Data
 @NoArgsConstructor
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Quad.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Quad.java
index 7304f8ff2..50ff187b7 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Quad.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Quad.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -23,10 +27,6 @@ import lombok.NoArgsConstructor;
 
 import java.io.Serializable;
 
-/**
- * Simple triple elements holder implementation
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/SynchronizedObject.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/SynchronizedObject.java
index 22f014975..3b76c1f41 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/SynchronizedObject.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/SynchronizedObject.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
 import java.io.Serializable;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- * This class is simple holder for provided variable which can be accessed & updated in thread-safe way
- *
- * @author raver119@protonmail.com
- */
 public class SynchronizedObject implements Serializable {
     protected T value;
     protected transient ReentrantReadWriteLock lock;
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Triple.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Triple.java
index ee9cdbc13..60dde2b25 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Triple.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/Triple.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -23,10 +27,6 @@ import lombok.NoArgsConstructor;
 
 import java.io.Serializable;
 
-/**
- * Simple triple elements holder implementation
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicBoolean.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicBoolean.java
index 35a9f1855..c576a7aed 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicBoolean.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicBoolean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives.serde;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicDouble.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicDouble.java
index 87cd894d1..15f033791 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicDouble.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonDeserializerAtomicDouble.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives.serde;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicBoolean.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicBoolean.java
index 69068d727..590b0d6e4 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicBoolean.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicBoolean.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives.serde;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicDouble.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicDouble.java
index 23e86283b..ecea78448 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicDouble.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/primitives/serde/JsonSerializerAtomicDouble.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives.serde;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Downloader.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Downloader.java
index 230cb1f44..ae8e66967 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Downloader.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Downloader.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.resources;
 
@@ -27,11 +31,6 @@ import java.io.IOException;
 import java.io.InputStream;
 import java.net.URL;
 
-/**
- * Downloader utility methods
- *
- * @author Alex Black
- */
 @Slf4j
 public class Downloader {
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resolver.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resolver.java
index b88597c87..8b8b05507 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resolver.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resolver.java
@@ -1,15 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.resources;
 
 import java.io.File;
 import java.io.InputStream;
 
-/**
- * Resolver interface: used to resolve a path (or directory path) to an actual file.
- * This is mainly used to find test resources which need to be downloaded on-demand from a remote location, and
- * (if appropriate) cached locally.
- *
- * @author Alex Black
- */
 public interface Resolver {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resources.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resources.java
index a58cca96c..f8fa974f4 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resources.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/Resources.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.resources;
 
 import lombok.NonNull;
@@ -9,15 +29,6 @@ import java.io.File;
 import java.io.InputStream;
 import java.util.*;
 
-/**
- * API for accessing resources (usually test resources) from a path.
- * For example, depending on the implementation (underlying set of {@link Resolver instances} this class cas be used to
- * resolve files on the classpath, or reference files (referring to a remote file that needs to be downloaded).
        
- * By default only the {@link StrumpfResolver} is used, but others can be added using the Java {@link ServiceLoader} mechanism
- * for {@link Resolver} class.
- *
- * @author Alex Black
- */
 @Slf4j
 public class Resources {
     private static Resources INSTANCE = new Resources();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/ResourceFile.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/ResourceFile.java
index aebb754d4..09cada96e 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/ResourceFile.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/ResourceFile.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.resources.strumpf;
 
 import org.nd4j.common.config.ND4JSystemProperties;
@@ -23,10 +43,6 @@ import java.net.URL;
 import java.nio.charset.StandardCharsets;
 import java.util.Map;
 
-/**
- * ResourceFile - represents a Strumpf resource file - which are references to remote files with filename ending with {@link StrumpfResolver#REF}
- * @author Alex Black
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Data
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/StrumpfResolver.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/StrumpfResolver.java
index ffb8d503b..54ff89459 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/StrumpfResolver.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/resources/strumpf/StrumpfResolver.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.resources.strumpf;
 
 import lombok.NonNull;
@@ -15,25 +35,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Resource resources based on Strumpf resource files, or standard files
        
- * https://github.com/deeplearning4j/strumpf
- * 
        
- * Note that resource files (those with path ending with {@link #REF}) point to remote files, that will be downloaded,
- * decompressed and cached locally.
        
- * The default cache location is {@link #DEFAULT_CACHE_DIR}; this can be overridden by setting the ND4JSystemProperties#RESOURCES_CACHE_DIR
- * system property.
        
- * 
        
- * 
        
- * Two resolution methods are supported:
        
- * 1. Resolving from the classpath
        
- * 2. Resolving from one of any specified directories
        
- * 
        
- * Resolving from specified directories: You can point this to one or more local directories (rather than relying on
- * classpath) when resolving resources. This can be done by setting the {@link ND4JSystemProperties#RESOURCES_LOCAL_DIRS}
- *
- * @author Alex Black
- */
 @Slf4j
 public class StrumpfResolver implements Resolver {
     public static final String DEFAULT_CACHE_DIR = new File(System.getProperty("user.home"), ".cache/nd4j/test_resources").getAbsolutePath();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/BTools.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/BTools.java
index 3797aa3aa..7e4d06b49 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/BTools.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/BTools.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -22,14 +26,6 @@ import java.time.LocalDateTime;
 import java.time.format.DateTimeFormatter;
 import java.util.Locale;
 
-/**
- * includes several base tools
- *
- * 
- *
- * @author clavvis 
- */
-
 //B = Base
 public class BTools {
 	//
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoLine.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoLine.java
index 0c42a7ea9..d52cc8e39 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoLine.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoLine.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -20,14 +24,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * Save values and titles for one values line.
        
- * Columns are separated with char '|'.
        
- *
- * Collaborate with class InfoValues.
        
- * @author clavvis 
- */
-
 public class InfoLine {
 	//
 	public InfoLine() {
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoValues.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoValues.java
index 1c90d4d09..8edc67945 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoValues.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/InfoValues.java
@@ -1,33 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Save value and it's titles for one column.
        
- * Titles strings in array create one title column.
        
- * One main column can have several sub columns.
        
- * Columns are separated with char '|'.
        
- * Collaborate with class InfoLine.
        
- * @author clavvis 
- */
-
 public class InfoValues {
 	//
 	public InfoValues( String... titleA ) {
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/PropertyParser.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/PropertyParser.java
index 48ff27722..52d805de4 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/PropertyParser.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/PropertyParser.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/SIS.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/SIS.java
index b687f20f1..b10296fcc 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/SIS.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/tools/SIS.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -26,14 +30,6 @@ import java.time.format.DateTimeFormatter;
 
 
 
-/**
- * Show informations in console.
        
- * if required save informations in file.
        
- * 
- *
- * @author clavvis 
- */
-
 public class SIS {
 	// System Informations Saving
 	//
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/AbstractNumber.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/AbstractNumber.java
index 1b18410f0..71f31e9ab 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/AbstractNumber.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/AbstractNumber.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
-/**
- * @author bogachenko
- */
-
 public interface AbstractNumber {
     AbstractNumber add(AbstractNumber b);
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArchiveUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArchiveUtils.java
index d9c602b09..317c5a23d 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArchiveUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArchiveUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java
index 1bdac9793..76f77a812 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -710,6 +714,28 @@ public class ArrayUtil {
         return ret;
     }
 
+    /**
+     * Compute the offset
+     * based on teh shape strides and offsets
+     * @param shape the shape to compute
+     * @param offsets the offsets to compute
+     * @param strides the strides to compute
+     * @return the offset for the given shape,offset,and strides
+     */
+    public static long calcOffset(long[] shape, long[] offsets, long[] strides) {
+        if (shape.length != offsets.length || shape.length != strides.length)
+            throw new IllegalArgumentException("Shapes,strides, and offsets must be the same size");
+
+        long ret = 0;
+        for (int i = 0; i < offsets.length; i++) {
+            if (shape[i] == 1)
+                continue;
+            ret += offsets[i] * strides[i];
+        }
+
+        return ret;
+    }
+
     /**
      * Compute the offset
      * based on teh shape strides and offsets
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Bernoulli.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Bernoulli.java
index 39edabe9a..eeb18098b 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Bernoulli.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Bernoulli.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
-/*
- * To change this template, choose Tools | Templates and open the template in the editor.
- */
-
 import java.math.BigInteger;
 import java.util.ArrayList;
 import java.util.List;
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Factorial.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Factorial.java
index 8e8ab189a..87efeffea 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Factorial.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Factorial.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -25,9 +29,6 @@ import java.math.BigInteger;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Factorials.
- */
 class Factorial {
 
     /**
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Index.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Index.java
index fca9aea7b..cc64e145d 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Index.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Index.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -21,13 +25,6 @@ import java.io.Serializable;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * An index is a transform of objects augmented with a list and a reverse lookup table
- * for fast lookups.
- * Indices are used for vocabulary in many of the natural language processing
- * @author Adam Gibson
- *
- */
 @SuppressWarnings({"rawtypes", "unchecked"})
 public class Index implements Serializable {
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/InputStreamUtil.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/InputStreamUtil.java
index 98daab389..f8bf6a9c4 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/InputStreamUtil.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/InputStreamUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -21,11 +25,6 @@ import java.io.FileInputStream;
 import java.io.IOException;
 import java.io.InputStream;
 
-/**
- * Input stream jcuda.utils
- *
- * @author Adam Gibson
- */
 public class InputStreamUtil {
     /**
      * Count number of lines in a file
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/LinkedMultiValueMap.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/LinkedMultiValueMap.java
index 544d054af..3faf22375 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/LinkedMultiValueMap.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/LinkedMultiValueMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java
index 21e37d658..58d72eace 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -27,11 +31,6 @@ import java.util.Random;
 import java.util.Set;
 
 
-/**
- * This is a math jcuda.utils class.
- *
- * @author Adam Gibson
- */
 public class MathUtils {
 
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MultiValueMap.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MultiValueMap.java
index c36bdda48..750f5820a 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MultiValueMap.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MultiValueMap.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ND4JFileUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ND4JFileUtils.java
index b66c21a39..d6bc2f3f6 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ND4JFileUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ND4JFileUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -21,11 +25,6 @@ import org.nd4j.common.config.ND4JSystemProperties;
 import java.io.File;
 import java.io.IOException;
 
-/**
- * Utilities for working with temporary files
- *
- * @author Alex Black
- */
 public class ND4JFileUtils {
 
     private ND4JFileUtils(){ }
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/NioUtil.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/NioUtil.java
index 79d30d80f..3f11e4d59 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/NioUtil.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/NioUtil.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/OneTimeLogger.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/OneTimeLogger.java
index 2f1af293b..6d673fb3c 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/OneTimeLogger.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/OneTimeLogger.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -24,10 +28,6 @@ import java.util.Queue;
 import java.util.concurrent.LinkedTransferQueue;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class OneTimeLogger {
     protected static HashSet hashSet = new HashSet<>();
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Paths.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Paths.java
index 837f770d7..e00b74894 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Paths.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Paths.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java
index f0fbf3b03..404874016 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java
@@ -1,36 +1,29 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.common.util;
 /*
- * To change this template, choose Tools | Templates and open the template in the editor.
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
  */
 
-// package org.nevec.rjm ;
-
+package org.nd4j.common.util;
 import java.math.BigDecimal;
 import java.math.BigInteger;
 import java.math.MathContext;
 import java.math.RoundingMode;
 
-/**
- * Fractions (rational numbers).
- * They are divisions of two BigInteger variables, reduced to greatest
- * common divisors of 1.
- */
 class Rational implements Cloneable {
 
     /* The maximum and minimum value of a standard Java integer, 2^31.
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SerializationUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SerializationUtils.java
index 4e2af6eb4..40dd9ea25 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SerializationUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SerializationUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -20,11 +24,6 @@ import org.apache.commons.io.FileUtils;
 
 import java.io.*;
 
-/**
- * Serialization utils for saving and reading serializable objects
- *
- * @author Adam Gibson
- */
 public class SerializationUtils {
 
     protected SerializationUtils() {}
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SetUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SetUtils.java
index d722bb113..6e520e098 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SetUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SetUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SynchronizedTable.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SynchronizedTable.java
index d3337fc21..f64f7c2ad 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SynchronizedTable.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/SynchronizedTable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -22,11 +26,6 @@ import java.util.Collection;
 import java.util.Map;
 import java.util.Set;
 
-/**
- * Synchronized table
- *
- * @author Adam Gibson
- */
 public class SynchronizedTable implements Table {
     private Table wrapped;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ThreadUtils.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ThreadUtils.java
index 60313c1d9..ba6b65ade 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ThreadUtils.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ThreadUtils.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/Nd4jCommonValidator.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/Nd4jCommonValidator.java
index ff36db830..5c4fbd5c4 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/Nd4jCommonValidator.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/Nd4jCommonValidator.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.validation;
 
 import lombok.NonNull;
@@ -13,11 +33,6 @@ import java.util.*;
 import java.util.zip.ZipEntry;
 import java.util.zip.ZipFile;
 
-/**
- * A utility for validating multiple file formats that ND4J and other tools can read
- *
- * @author Alex Black
- */
 public class Nd4jCommonValidator {
 
     private Nd4jCommonValidator() {
diff --git a/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/ValidationResult.java b/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/ValidationResult.java
index 8a66383a9..569b4a661 100644
--- a/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/ValidationResult.java
+++ b/nd4j/nd4j-common/src/main/java/org/nd4j/common/validation/ValidationResult.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.validation;
 
 import lombok.AllArgsConstructor;
@@ -10,11 +30,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Represents a standard way of validating models, files, etc before attempting to load them.
- *
- * @author Alex Black
- */
 @AllArgsConstructor
 @NoArgsConstructor
 @Builder
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/base/TestPreconditions.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/base/TestPreconditions.java
index 53aaa3e9c..9a4b4aa5a 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/base/TestPreconditions.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/base/TestPreconditions.java
@@ -1,23 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.base;
 
 import org.junit.Test;
-import org.nd4j.common.base.Preconditions;
 
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNull;
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/function/FunctionalUtilsTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/function/FunctionalUtilsTest.java
index 1023a5772..bc77c6440 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/function/FunctionalUtilsTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/function/FunctionalUtilsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.function;
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/io/ClassPathResourceTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/io/ClassPathResourceTest.java
index 1fd9ab95a..30d621b37 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/io/ClassPathResourceTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/io/ClassPathResourceTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.io;
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/loader/TestFileBatch.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/loader/TestFileBatch.java
index fba85d83c..1f576c6c2 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/loader/TestFileBatch.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/loader/TestFileBatch.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.loader;
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/AtomicTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/AtomicTest.java
index 90a9563bc..14533fb4b 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/AtomicTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/AtomicTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterMapTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterMapTest.java
index b9fc1eae9..233ce03aa 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterMapTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterMapTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -24,11 +28,6 @@ import java.util.Iterator;
 
 import static org.junit.Assert.*;
 
-/**
- * CounterMap tests
- *
- * @author raver119@gmail.com
- */
 public class CounterMapTest {
 
     @Test
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterTest.java
index 08c28deb5..a633514c0 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/primitives/CounterTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.primitives;
 
@@ -24,11 +28,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-/**
- * Tests for Counter
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CounterTest {
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestArchiveUtils.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestArchiveUtils.java
index e2586c458..b0317d46c 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestArchiveUtils.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestArchiveUtils.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.resources;
 
 import org.apache.commons.io.FileUtils;
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestStrumpf.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestStrumpf.java
index 21e12336a..be1d591e5 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestStrumpf.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestStrumpf.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.common.resources;
 
 import org.apache.commons.io.FileUtils;
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/BToolsTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/BToolsTest.java
index 3ca05916b..cf0c18361 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/BToolsTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/BToolsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -21,14 +25,6 @@ import org.nd4j.common.tools.BTools;
 
 import static org.junit.Assert.*;
 
-/**
- *
- *
- * 
- *
- * @author clavvis
- */
-
 public class BToolsTest {
 	//
 	
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoLineTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoLineTest.java
index 41080a335..321adb1cb 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoLineTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoLineTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -22,14 +26,6 @@ import org.nd4j.common.tools.InfoValues;
 
 import static org.junit.Assert.*;
 
-/**
- *
- *
- * 
- *
- * @author clavvis
- */
-
 public class InfoLineTest {
 	//
 	
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoValuesTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoValuesTest.java
index ad3d3a5de..6e2f9da8d 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoValuesTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/InfoValuesTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -21,14 +25,6 @@ import org.nd4j.common.tools.InfoValues;
 
 import static org.junit.Assert.*;
 
-/**
- *
- *
- * 
- *
- * @author clavvis 
- */
-
 public class InfoValuesTest {
 	//
 	private String[] t1_titleA = { "T0", "T1", "T2", "T3", "T4", "T5" };
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/PropertyParserTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/PropertyParserTest.java
index 623c5efba..eb46f6535 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/PropertyParserTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/PropertyParserTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/SISTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/SISTest.java
index e2f9e00c4..16956cdfc 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/SISTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/tools/SISTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.tools;
 
@@ -24,14 +28,6 @@ import org.nd4j.common.tools.SIS;
 
 import static org.junit.Assert.*;
 
-/**
- *
- *
- * 
- *
- * @author clavvis
- */
-
 public class SISTest {
 	//
 	@Rule
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/ArrayUtilTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/ArrayUtilTest.java
index b6f729f38..4994db145 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/ArrayUtilTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/ArrayUtilTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
diff --git a/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/OneTimeLoggerTest.java b/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/OneTimeLoggerTest.java
index 03cc48bbd..4011ca455 100644
--- a/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/OneTimeLoggerTest.java
+++ b/nd4j/nd4j-common/src/test/java/org/nd4j/common/util/OneTimeLoggerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.common.util;
 
@@ -23,9 +27,6 @@ import org.nd4j.common.util.OneTimeLogger;
 import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertTrue;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class OneTimeLoggerTest {
 
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-api/pom.xml b/nd4j/nd4j-jdbc/nd4j-jdbc-api/pom.xml
deleted file mode 100644
index 618b44c9e..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-api/pom.xml
+++ /dev/null
@@ -1,57 +0,0 @@
-
-
-
-    4.0.0
-
-    org.nd4j
-    nd4j-jdbc-api
-    1.0.0-SNAPSHOT
-    jar
-
-    nd4j-jdbc-api
-    http://maven.apache.org
-
-    
-        org.nd4j
-        nd4j-jdbc
-        1.0.0-SNAPSHOT
-    
-
-    
-        UTF-8
-    
-
-
-    
-        
-            com.mchange
-            c3p0
-            0.9.5.4
-        
-        
-            org.nd4j
-            nd4j-api
-            ${project.version}
-        
-    
-
-    
-        
-            testresources
-        
-    
-
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/driverfinder/DriverFinder.java b/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/driverfinder/DriverFinder.java
deleted file mode 100644
index 24a0b1ee8..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/driverfinder/DriverFinder.java
+++ /dev/null
@@ -1,91 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.driverfinder;
-
-import lombok.extern.slf4j.Slf4j;
-import org.nd4j.common.config.ND4JClassLoading;
-
-import java.io.IOException;
-import java.io.InputStream;
-import java.sql.Driver;
-import java.util.HashSet;
-import java.util.Objects;
-import java.util.Properties;
-import java.util.ServiceLoader;
-import java.util.Set;
-
-/**
- * JDBC Driver finder
- *
- * @author Adam Gibson
- */
-@Slf4j
-public class DriverFinder {
-
-    public final static String ND4j_JDBC_PROPERTIES = "nd4j.jdbc.properties";
-    public final static String JDBC_KEY = "jdbc.driver";
-    private static Class clazz;
-    private static Driver driver;
-
-    public static Driver getDriver() {
-        if (driver == null) {
-            if (clazz == null)
-                discoverDriverClazz();
-            try {
-                driver = clazz.newInstance();
-            } catch (InstantiationException | IllegalAccessException e) {
-                log.error("",e);
-            }
-        }
-        return driver;
-    }
-
-    private static void discoverDriverClazz() {
-        //All JDBC4 compliant drivers support ServiceLoader mechanism for discovery - https://stackoverflow.com/a/18297412
-        ServiceLoader drivers = ND4JClassLoading.loadService(Driver.class);
-        Set> driverClasses = new HashSet<>();
-        for(Driver driver : drivers){
-            driverClasses.add(driver.getClass());
-        }
-
-        if(driverClasses.isEmpty()){
-            throw new IllegalStateException("No org.nd4j.jdbc drivers found on classpath via ServiceLoader");
-        }
-
-        if(driverClasses.size() != 1) {
-            InputStream i = DriverFinder.class.getResourceAsStream("/" + ND4j_JDBC_PROPERTIES);
-            if (i == null)
-                throw new IllegalStateException("Only one jdbc driver allowed on the class path");
-            else {
-                Properties props = new Properties();
-                try {
-                    props.load(i);
-                } catch (IOException e) {
-                    throw new RuntimeException(e);
-                }
-
-                String jdbcKeyClassName = props.getProperty(JDBC_KEY);
-                Objects.requireNonNull(jdbcKeyClassName, "Unable to find jdbc driver. Please specify a "
-                        + ND4j_JDBC_PROPERTIES + " with the key " + JDBC_KEY);
-
-                DriverFinder.clazz = ND4JClassLoading.loadClassByName(jdbcKeyClassName);
-                Objects.requireNonNull(DriverFinder.clazz, "Unable to find jdbc driver. Please specify a "
-                        + ND4j_JDBC_PROPERTIES + " with the key " + JDBC_KEY);
-            }
-        }
-    }
-}
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/loader/api/JDBCNDArrayIO.java b/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/loader/api/JDBCNDArrayIO.java
deleted file mode 100644
index 4b8713837..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/loader/api/JDBCNDArrayIO.java
+++ /dev/null
@@ -1,102 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.loader.api;
-
-import org.nd4j.linalg.api.ndarray.INDArray;
-
-import java.io.IOException;
-import java.sql.Blob;
-import java.sql.SQLException;
-
-/**
- * Load a complex ndarray via org.nd4j.jdbc
- *
- * @author Adam Gibson
- */
-public interface JDBCNDArrayIO {
-
-
-    /**
-     * Loads an array for the given id.
-     * @param id
-     * @return
-     */
-    INDArray loadArrayForId(String id) throws SQLException;
-
-    /**
-     * Convert an ndarray to a blob
-     *
-     * @param toConvert the ndarray to convert
-     * @return the converted ndarray
-     */
-    Blob convert(INDArray toConvert) throws SQLException, IOException;
-
-    /**
-     * Load an ndarray from a blob
-     *
-     * @param blob the blob to load from
-     * @return the loaded ndarray
-     */
-    INDArray load(Blob blob) throws IOException, SQLException;
-
-
-    /**
-     * Create an insert statement
-     *
-     * @return a new insert statement
-     */
-    String insertStatement();
-
-    /**
-     * Create an insert statement
-     *
-     * @return a new insert statement
-     */
-    String loadStatement();
-
-
-    /**
-     * Create an insert statement
-     *
-     * @return a new insert statement
-     */
-    String deleteStatement();
-
-    /**
-     * Save the ndarray
-     *
-     * @param save the ndarray to save
-     */
-    void save(INDArray save, String id) throws SQLException, IOException;
-
-    /**
-     * Load an ndarray blob given an id
-     *
-     * @param id the id to load
-     * @return the blob
-     */
-    Blob loadForID(String id) throws SQLException;
-
-    /**
-     * Delete the given ndarray
-     *
-     * @param id the id of the ndarray to delete
-     */
-    void delete(String id) throws SQLException;
-
-
-}
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/loader/impl/BaseLoader.java b/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/loader/impl/BaseLoader.java
deleted file mode 100644
index 9a5a4229f..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-api/src/main/java/org/nd4j/jdbc/loader/impl/BaseLoader.java
+++ /dev/null
@@ -1,191 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.loader.impl;
-
-import com.mchange.v2.c3p0.ComboPooledDataSource;
-import org.nd4j.jdbc.driverfinder.DriverFinder;
-import org.nd4j.jdbc.loader.api.JDBCNDArrayIO;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.serde.binary.BinarySerde;
-
-import javax.sql.DataSource;
-import java.io.*;
-import java.nio.Buffer;
-import java.nio.ByteBuffer;
-import java.nio.channels.Channels;
-import java.nio.channels.ReadableByteChannel;
-import java.sql.*;
-
-/**
- * Base class for loading ndarrays via org.nd4j.jdbc
- *
- * @author Adam Gibson
- */
-
-public abstract class BaseLoader implements JDBCNDArrayIO {
-
-    protected String tableName, columnName, idColumnName, jdbcUrl;
-    protected DataSource dataSource;
-
-    protected BaseLoader(DataSource dataSource, String jdbcUrl, String tableName, String idColumnName,
-                         String columnName) throws Exception {
-        this.dataSource = dataSource;
-        this.jdbcUrl = jdbcUrl;
-        this.tableName = tableName;
-        this.columnName = columnName;
-        this.idColumnName = idColumnName;
-        if (dataSource == null) {
-            dataSource = new ComboPooledDataSource();
-            ComboPooledDataSource c = (ComboPooledDataSource) dataSource;
-            c.setJdbcUrl(jdbcUrl);
-            c.setDriverClass(DriverFinder.getDriver().getClass().getName());
-
-        }
-    }
-
-
-    protected BaseLoader(String jdbcUrl, String tableName, String idColumnName, String columnName) throws Exception {
-        this.jdbcUrl = jdbcUrl;
-        this.tableName = tableName;
-        this.columnName = columnName;
-        dataSource = new ComboPooledDataSource();
-        ComboPooledDataSource c = (ComboPooledDataSource) dataSource;
-        c.setJdbcUrl(jdbcUrl);
-        c.setDriverClass(DriverFinder.getDriver().getClass().getName());
-        this.idColumnName = idColumnName;
-
-    }
-
-    protected BaseLoader(DataSource dataSource, String jdbcUrl, String tableName, String columnName) throws Exception {
-        this(dataSource, jdbcUrl, tableName, "id", columnName);
-
-    }
-
-    /**
-     * Convert an ndarray to a blob
-     *
-     * @param toConvert the ndarray to convert
-     * @return the converted ndarray
-     */
-    @Override
-    public Blob convert(INDArray toConvert) throws SQLException {
-        ByteBuffer byteBuffer = BinarySerde.toByteBuffer(toConvert);
-        Buffer buffer = (Buffer) byteBuffer;
-        buffer.rewind();
-        byte[] arr = new byte[byteBuffer.capacity()];
-        byteBuffer.get(arr);
-        Connection c = dataSource.getConnection();
-        Blob b = c.createBlob();
-        b.setBytes(1, arr);
-        return b;
-    }
-
-    /**
-     * Load an ndarray from a blob
-     *
-     * @param blob the blob to load from
-     * @return the loaded ndarray
-     */
-    @Override
-    public INDArray load(Blob blob) throws SQLException {
-        if (blob == null)
-            return null;
-        try(InputStream is = blob.getBinaryStream()) {
-            ByteBuffer direct = ByteBuffer.allocateDirect((int) blob.length());
-            ReadableByteChannel readableByteChannel = Channels.newChannel(is);
-            readableByteChannel.read(direct);
-            Buffer byteBuffer = (Buffer) direct;
-            byteBuffer.rewind();
-            return BinarySerde.toArray(direct);
-        } catch (Exception e) {
-           throw new RuntimeException(e);
-        }
-
-
-    }
-
-    /**
-     * Save the ndarray
-     *
-     * @param save the ndarray to save
-     */
-    @Override
-    public void save(INDArray save, String id) throws SQLException, IOException {
-        doSave(save, id);
-
-    }
-
-
-    private void doSave(INDArray save, String id) throws SQLException, IOException {
-        Connection c = dataSource.getConnection();
-        ByteArrayOutputStream bos = new ByteArrayOutputStream();
-        DataOutputStream dos = new DataOutputStream(bos);
-        BinarySerde.writeArrayToOutputStream(save,bos);
-
-        byte[] bytes = bos.toByteArray();
-
-        PreparedStatement preparedStatement = c.prepareStatement(insertStatement());
-        preparedStatement.setString(1, id);
-        preparedStatement.setBytes(2, bytes);
-        preparedStatement.executeUpdate();
-
-
-    }
-
-
-    /**
-     * Load an ndarray blob given an id
-     *
-     * @param id the id to load
-     * @return the blob
-     */
-    @Override
-    public Blob loadForID(String id) throws SQLException {
-        Connection c = dataSource.getConnection();
-        PreparedStatement preparedStatement = c.prepareStatement(loadStatement());
-        preparedStatement.setString(1, id);
-        ResultSet r = preparedStatement.executeQuery();
-        if (r.wasNull() || !r.next()) {
-            return null;
-        } else {
-            Blob first = r.getBlob(2);
-            return first;
-        }
-
-
-    }
-
-    @Override
-    public INDArray loadArrayForId(String id) throws SQLException {
-        return load(loadForID(id));
-    }
-
-    /**
-     * Delete the given ndarray
-     *
-     * @param id the id of the ndarray to delete
-     */
-    @Override
-    public void delete(String id) throws SQLException {
-        Connection c = dataSource.getConnection();
-        PreparedStatement p = c.prepareStatement(deleteStatement());
-        p.setString(1, id);
-        p.execute();
-
-
-    }
-}
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/pom.xml b/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/pom.xml
deleted file mode 100644
index 818fc69aa..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/pom.xml
+++ /dev/null
@@ -1,103 +0,0 @@
-
-
-
-    
-        nd4j-jdbc
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    nd4j-jdbc-hsql
-    jar
-
-    nd4j-jdbc-hsql
-
-    
-        1.7
-        2.4.0
-        UTF-8
-    
-
-    
-        
-            junit
-            junit
-        
-        
-            commons-dbutils
-            commons-dbutils
-            ${commons-db.version}
-            test
-        
-        
-            org.nd4j
-            nd4j-jdbc-api
-            ${project.version}
-        
-        
-            org.hsqldb
-            hsqldb
-            ${hsqldb.version}
-        
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-        
-            testresources
-        
-
-        
-            nd4j-testresources
-        
-
-        
-            nd4j-tests-cpu
-            
-                false
-            
-            
-                
-                    org.nd4j
-                    nd4j-native
-                    ${project.version}
-                
-            
-        
-        
-            nd4j-tests-cuda
-            
-                false
-            
-            
-                
-                    org.nd4j
-                    nd4j-cuda-11.0
-                    ${project.version}
-                
-            
-        
-    
-
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/main/java/org/nd4j/jdbc/hsql/HsqlLoader.java b/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/main/java/org/nd4j/jdbc/hsql/HsqlLoader.java
deleted file mode 100644
index 23754e03b..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/main/java/org/nd4j/jdbc/hsql/HsqlLoader.java
+++ /dev/null
@@ -1,76 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.hsql;
-
-import org.nd4j.jdbc.loader.impl.BaseLoader;
-
-import javax.sql.DataSource;
-
-/**
- * HSQLDB loader for ndarrays.
- *
- * @author Adam Gibson
- */
-public class HsqlLoader extends BaseLoader {
-
-    public HsqlLoader(DataSource dataSource, String jdbcUrl, String tableName, String idColumnName, String columnName) throws Exception {
-        super(dataSource, jdbcUrl, tableName, idColumnName, columnName);
-    }
-
-    public HsqlLoader(String jdbcUrl, String tableName, String idColumnName, String columnName) throws Exception {
-        super(jdbcUrl, tableName, idColumnName, columnName);
-    }
-
-    public HsqlLoader(DataSource dataSource, String jdbcUrl, String tableName, String columnName) throws Exception {
-        super(dataSource, jdbcUrl, tableName, columnName);
-    }
-
-
-    /**
-     * Create an insert statement
-     *
-     * @return a new insert statement
-     */
-    @Override
-    public String insertStatement() {
-        return "INSERT INTO " + tableName + " VALUES(?,?)";
-    }
-
-    /**
-     * Create an insert statement. This should be a templated query.
-     * IE: Question mark at the end, we will take care of setting the proper value.
-     *
-     * @return a new insert statement
-     */
-    @Override
-    public String loadStatement() {
-        return "SELECT * FROM " + tableName + " WHERE " + this.idColumnName + " =?";
-
-
-    }
-
-    /**
-     * Create an delete statement
-     *
-     * @return a new delete statement
-     */
-    @Override
-    public String deleteStatement() {
-        return "DELETE  FROM " + tableName + " WHERE " + this.idColumnName + " =?";
-
-    }
-}
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/main/resources/nd4j.jdbc.properties b/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/main/resources/nd4j.jdbc.properties
deleted file mode 100644
index 65dfb305f..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/main/resources/nd4j.jdbc.properties
+++ /dev/null
@@ -1,17 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-jdbc.driver=org.hsqldb.jdbc.JDBCDriver
\ No newline at end of file
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/test/java/org/nd4j/jdbc/hsql/HSqlLoaderTest.java b/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/test/java/org/nd4j/jdbc/hsql/HSqlLoaderTest.java
deleted file mode 100644
index 96c9ac5e4..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-hsql/src/test/java/org/nd4j/jdbc/hsql/HSqlLoaderTest.java
+++ /dev/null
@@ -1,132 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.hsql;
-
-import lombok.extern.slf4j.Slf4j;
-import org.hsqldb.jdbc.JDBCDataSource;
-import org.junit.AfterClass;
-import org.junit.BeforeClass;
-import org.junit.Test;
-import org.nd4j.common.config.ND4JClassLoading;
-import org.nd4j.common.tests.BaseND4JTest;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-
-import javax.sql.DataSource;
-import java.sql.*;
-
-import static org.hamcrest.CoreMatchers.is;
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertNotNull;
-import static org.junit.Assert.assertThat;
-
-@Slf4j
-public class HSqlLoaderTest extends BaseND4JTest {
-    private static HsqlLoader hsqlLoader;
-    private static DataSource dataSource;
-
-    public final static String JDBC_URL = "jdbc:hsqldb:mem:ndarrays";
-    public final static String TABLE_NAME = "testarrays";
-    public final static String ID_COLUMN_NAME = "id";
-    public final static String COLUMN_NAME = "array";
-
-    @BeforeClass
-    public static void init() throws Exception  {
-        hsqlLoader = new HsqlLoader(dataSource(),JDBC_URL,TABLE_NAME,ID_COLUMN_NAME,COLUMN_NAME);
-        ND4JClassLoading.loadClassByName("org.hsqldb.jdbc.JDBCDriver");
-
-        // initialize database
-        initDatabase();
-    }
-
-    public static DataSource dataSource() {
-        if (dataSource != null)
-            return dataSource;
-        JDBCDataSource dataSource = new JDBCDataSource();
-        dataSource.setDatabase(JDBC_URL);
-        dataSource.setUrl(JDBC_URL);
-        dataSource.setPassword("test");
-        dataSource.setUser("test");
-        HSqlLoaderTest.dataSource = dataSource;
-        return dataSource;
-    }
-
-    @AfterClass
-    public static void destroy() throws SQLException {
-        try (Connection connection = getConnection(); Statement statement = connection.createStatement()) {
-            statement.executeUpdate("DROP TABLE " + TABLE_NAME);
-            connection.commit();
-        }
-    }
-
-    /**
-     * Database initialization for testing i.e.
-     * 
          
-     * 
        • Creating Table
          • 
-     * 
        • Inserting record
          • 
-     * 
        
-     *
-     * @throws SQLException
-     */
-    private static void initDatabase() throws Exception {
-        try (Connection connection = getConnection(); Statement statement = connection.createStatement()) {
-            statement.execute(String.format("CREATE TABLE %s (%s INT NOT NULL,"
-                    + " %s BLOB NOT NULL, PRIMARY KEY (id))",TABLE_NAME,ID_COLUMN_NAME,COLUMN_NAME));
-            connection.commit();
-            hsqlLoader.save(Nd4j.linspace(1,4,4, Nd4j.dataType()),"1");
-            connection.commit();
-        }
-    }
-
-    /**
-     * Create a connection
-     *
-     * @return connection object
-     * @throws SQLException
-     */
-    private static Connection getConnection() throws SQLException {
-        return DriverManager.getConnection(JDBC_URL, "test", "test");
-    }
-
-    /**
-     * Get total records in table
-     *
-     * @return total number of records. In case of exception 0 is returned
-     */
-    private int getTotalRecords() {
-        try (Connection connection = getConnection(); Statement statement = connection.createStatement()) {
-            ResultSet result = statement.executeQuery(String.format("SELECT count(*) as total FROM %s",TABLE_NAME));
-            if (result.next()) {
-                return result.getInt("total");
-            }
-        } catch (SQLException e) {
-            log.error("",e);
-        }
-        return 0;
-    }
-
-    @Test
-    public void getTotalRecordsTest() throws Exception {
-        assertThat(1, is(getTotalRecords()));
-
-        INDArray load = hsqlLoader.load(hsqlLoader.loadForID("1"));
-        assertNotNull(load);
-        assertEquals(Nd4j.linspace(1,4,4, load.dataType()),load);
-
-
-    }
-}
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/pom.xml b/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/pom.xml
deleted file mode 100644
index e640ed219..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/pom.xml
+++ /dev/null
@@ -1,56 +0,0 @@
-
-
-
-
-
-    4.0.0
-
-    
-        org.nd4j
-        nd4j-jdbc
-        1.0.0-SNAPSHOT
-    
-
-    nd4j-jdbc-mysql
-    jar
-    
-        
-            org.nd4j
-            nd4j-jdbc-api
-            ${project.version}
-        
-        
-            junit
-            junit
-            test
-        
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-        
-            testresources
-        
-    
-
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/main/java/org/nd4j/jdbc/mysql/MysqlLoader.java b/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/main/java/org/nd4j/jdbc/mysql/MysqlLoader.java
deleted file mode 100644
index 20dde6a4a..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/main/java/org/nd4j/jdbc/mysql/MysqlLoader.java
+++ /dev/null
@@ -1,67 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.mysql;
-
-import org.nd4j.jdbc.loader.impl.BaseLoader;
-
-import javax.sql.DataSource;
-
-/**
- * Mysql loader for ndarrays
- *
- * @author Adam Gibson
- */
-public class MysqlLoader extends BaseLoader {
-
-    public MysqlLoader(DataSource dataSource, String jdbcUrl, String tableName, String columnName) throws Exception {
-        super(dataSource, jdbcUrl, tableName, columnName);
-    }
-
-    /**
-     * Create an insert statement
-     *
-     * @return a new insert statement
-     */
-    @Override
-    public String insertStatement() {
-        return "INSERT INTO " + tableName + " VALUES(?,?)";
-    }
-
-    /**
-     * Create an insert statement. This should be a templated query.
-     * IE: Question mark at the end, we will take care of setting the proper value.
-     *
-     * @return a new insert statement
-     */
-    @Override
-    public String loadStatement() {
-        return "SELECT * FROM " + tableName + " WHERE " + this.idColumnName + " =?";
-
-
-    }
-
-    /**
-     * Create an delete statement
-     *
-     * @return a new delete statement
-     */
-    @Override
-    public String deleteStatement() {
-        return "DELETE  FROM " + tableName + " WHERE " + this.idColumnName + " =?";
-
-    }
-}
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/main/resources/nd4j.jdbc.properties b/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/main/resources/nd4j.jdbc.properties
deleted file mode 100644
index be3d7c77a..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/main/resources/nd4j.jdbc.properties
+++ /dev/null
@@ -1,17 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-jdbc.driver=com.mysql.jdbc.Driver
\ No newline at end of file
diff --git a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/test/java/org/nd4j/jdbc/mysql/MysqlLoaderTest.java b/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/test/java/org/nd4j/jdbc/mysql/MysqlLoaderTest.java
deleted file mode 100644
index f5f924235..000000000
--- a/nd4j/nd4j-jdbc/nd4j-jdbc-mysql/src/test/java/org/nd4j/jdbc/mysql/MysqlLoaderTest.java
+++ /dev/null
@@ -1,52 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.jdbc.mysql;
-
-import com.mchange.v2.c3p0.ComboPooledDataSource;
-import org.junit.Ignore;
-import org.junit.Test;
-import org.nd4j.common.tests.BaseND4JTest;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-
-import java.sql.Blob;
-
-import static org.junit.Assert.assertEquals;
-
-public class MysqlLoaderTest extends BaseND4JTest {
-
-
-    //simple litmus test, unfortunately relies on an external database
-    @Test
-    @Ignore
-    public void testMysqlLoader() throws Exception {
-        ComboPooledDataSource ds = new ComboPooledDataSource();
-        ds.setJdbcUrl("jdbc:mysql://localhost:3306/nd4j?user=nd4j&password=nd4j");
-        MysqlLoader loader = new MysqlLoader(ds, "jdbc:mysql://localhost:3306/nd4j?user=nd4j&password=nd4j", "ndarrays",
-                        "array");
-        loader.delete("1");
-        INDArray load = loader.load(loader.loadForID("1"));
-        if (load != null) {
-            loader.delete("1");
-        }
-        loader.save(Nd4j.create(new float[] {1, 2, 3}), "1");
-        Blob b = loader.loadForID("1");
-        INDArray loaded = loader.load(b);
-        assertEquals((Nd4j.create(new float[] {1, 2, 3})), loaded);
-    }
-
-}
diff --git a/nd4j/nd4j-jdbc/pom.xml b/nd4j/nd4j-jdbc/pom.xml
deleted file mode 100644
index a382cf0e8..000000000
--- a/nd4j/nd4j-jdbc/pom.xml
+++ /dev/null
@@ -1,70 +0,0 @@
-
-
-
-    
-        nd4j
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    nd4j-jdbc
-    1.0.0-SNAPSHOT
-    pom
-
-    nd4j-jdbc
-    https://deeplearning4j.org
-    
-        nd4j-jdbc-api
-        nd4j-jdbc-mysql
-        nd4j-jdbc-hsql
-    
-    
-        
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    1.7
-                    1.7
-                
-            
-        
-    
-    
-        UTF-8
-    
-
-    
-        
-            testresources
-        
-
-        
-            nd4j-testresources
-        
-
-        
-            nd4j-tests-cpu
-        
-
-        
-            nd4j-tests-cuda
-        
-    
-
-
diff --git a/nd4j/nd4j-onnxruntime/pom.xml b/nd4j/nd4j-onnxruntime/pom.xml
new file mode 100644
index 000000000..2c9ce1c54
--- /dev/null
+++ b/nd4j/nd4j-onnxruntime/pom.xml
@@ -0,0 +1,85 @@
+
+
+
+
+
+    
+        nd4j
+        org.nd4j
+        1.0.0-SNAPSHOT
+    
+    4.0.0
+
+    nd4j-onnxruntime
+
+    nd4j-onnxruntime
+
+
+    
+        UTF-8
+        1.8
+        1.8
+        1.4.0
+        ${onnxruntime.version}-${javacpp.version}
+    
+
+    
+        
+            org.slf4j
+            slf4j-api
+        
+
+        
+            org.nd4j
+            nd4j-api
+        
+
+        
+            org.bytedeco
+            onnxruntime-platform
+            ${onnxruntime.javacpp.version}
+        
+
+        
+            org.bytedeco
+            onnxruntime
+            ${onnxruntime.javacpp.version}
+        
+
+        
+            junit
+            junit
+        
+
+        
+            org.nd4j
+            nd4j-native
+            ${project.version}
+            test
+        
+    
+    
+        
+            testresources
+        
+    
+
diff --git a/nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/runner/OnnxRuntimeRunner.java b/nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/runner/OnnxRuntimeRunner.java
new file mode 100644
index 000000000..b3107ad88
--- /dev/null
+++ b/nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/runner/OnnxRuntimeRunner.java
@@ -0,0 +1,158 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.onnxruntime.runner;
+
+import lombok.Builder;
+import lombok.extern.slf4j.Slf4j;
+import org.bytedeco.javacpp.*;
+import org.bytedeco.onnxruntime.*;
+import org.nd4j.common.base.Preconditions;
+import org.nd4j.linalg.api.buffer.DataBuffer;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+import org.nd4j.onnxruntime.util.ONNXUtils;
+
+import java.io.Closeable;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.UUID;
+
+import static org.bytedeco.onnxruntime.global.onnxruntime.*;
+import static org.nd4j.onnxruntime.util.ONNXUtils.getDataBuffer;
+import static org.nd4j.onnxruntime.util.ONNXUtils.getTensor;
+
+@Slf4j
+public class OnnxRuntimeRunner implements Closeable  {
+    private Session session;
+    private RunOptions runOptions;
+    private MemoryInfo memoryInfo;
+    private AllocatorWithDefaultOptions allocator;
+    private SessionOptions sessionOptions;
+    private   static Env env;
+    private Pointer bp;
+
+
+    @Builder
+    public OnnxRuntimeRunner(String modelUri) {
+        if(env == null) {
+            env = new Env(ONNXUtils.getOnnxLogLevelFromLogger(log), new BytePointer("nd4j-serving-onnx-session-" + UUID.randomUUID().toString()));
+            env.retainReference();
+        }
+
+        sessionOptions = new SessionOptions();
+        sessionOptions.SetGraphOptimizationLevel(ORT_ENABLE_EXTENDED);
+        sessionOptions.SetIntraOpNumThreads(1);
+        sessionOptions.retainReference();
+        allocator = new AllocatorWithDefaultOptions();
+        allocator.retainReference();
+        bp = Loader.getPlatform().toLowerCase().startsWith("windows") ? new CharPointer(modelUri) : new BytePointer(modelUri);
+        runOptions = new RunOptions();
+        memoryInfo = MemoryInfo.CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
+        session = new Session(env, bp, sessionOptions);
+        //retain the session reference to prevent pre emptive release of the session.
+        session.retainReference();
+
+    }
+
+
+
+    @Override
+    public void close() {
+        if(session != null) {
+            session.close();
+        }
+
+        sessionOptions.releaseReference();
+        allocator.releaseReference();
+        runOptions.releaseReference();
+    }
+
+
+    /**
+     * Execute the {@link #session}
+     * using the given input {@link Map}
+     * input
+     * @param input the input map
+     * @return a map of the names of the ndarrays
+     */
+    public Map exec(Map input) {
+        long numInputNodes = session.GetInputCount();
+        long numOutputNodes = session.GetOutputCount();
+
+        PointerPointer inputNodeNames = new PointerPointer<>(numInputNodes);
+        PointerPointer outputNodeNames = new PointerPointer<>(numOutputNodes);
+
+        Value inputVal = new Value(numInputNodes);
+
+        for (int i = 0; i < numInputNodes; i++) {
+            BytePointer inputName = session.GetInputName(i, allocator.asOrtAllocator());
+            inputNodeNames.put(i, inputName);
+            INDArray arr = input.get(inputName.getString());
+            Value inputTensor = getTensor(arr, memoryInfo);
+            Preconditions.checkState(inputTensor.IsTensor(),"Input must be a tensor.");
+            inputVal.position(i).put(inputTensor);
+        }
+
+        //reset position after iterating
+        inputVal.position(0);
+
+
+
+        for (int i = 0; i < numOutputNodes; i++) {
+            BytePointer outputName = session.GetOutputName(i, allocator.asOrtAllocator());
+            outputNodeNames.put(i, outputName);
+        }
+
+        ValueVector outputVector = session.Run(
+                runOptions,
+                inputNodeNames,
+                inputVal,
+                numInputNodes,
+                outputNodeNames,
+                numOutputNodes);
+
+        outputVector.retainReference();
+        Map ret = new LinkedHashMap<>();
+
+        for (int i = 0; i < numOutputNodes; i++) {
+            Value outValue = outputVector.get(i);
+            outValue.retainReference();
+            TypeInfo typeInfo = session.GetOutputTypeInfo(i);
+            DataBuffer buffer = getDataBuffer(outValue);
+            LongPointer longPointer = outValue.GetTensorTypeAndShapeInfo().GetShape();
+            //shape info can be null
+            if(longPointer != null) {
+                long[] shape = new long[(int) longPointer.capacity()];
+                longPointer.get(shape);
+                ret.put((outputNodeNames.get(BytePointer.class, i)).getString(), Nd4j.create(buffer).reshape(shape));
+            } else {
+                ret.put((outputNodeNames.get(BytePointer.class, i)).getString(), Nd4j.create(buffer));
+
+            }
+        }
+
+        return ret;
+
+
+    }
+
+
+}
diff --git a/nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java b/nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java
new file mode 100644
index 000000000..3cba13ade
--- /dev/null
+++ b/nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java
@@ -0,0 +1,293 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.onnxruntime.util;
+
+import org.bytedeco.javacpp.*;
+import org.bytedeco.javacpp.indexer.*;
+import org.bytedeco.onnxruntime.MemoryInfo;
+import org.bytedeco.onnxruntime.Value;
+import org.nd4j.common.base.Preconditions;
+import org.nd4j.linalg.api.buffer.DataBuffer;
+import org.nd4j.linalg.api.buffer.DataType;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+import org.slf4j.Logger;
+
+import static org.bytedeco.onnxruntime.global.onnxruntime.*;
+import static org.nd4j.linalg.api.buffer.DataType.*;
+
+public class ONNXUtils {
+
+    /**
+     *
+     * @param expected
+     * @param array
+     */
+    public static void validateType(DataType expected, INDArray array) {
+        if (!array.dataType().equals(expected))
+            throw new RuntimeException("INDArray data type (" + array.dataType() + ") does not match required ONNX data type (" + expected + ")");
+    }
+
+    /**
+     * Return a {@link DataType}
+     * for the onnx data type
+     * @param dataType the equivalent nd4j data type
+     * @return
+     */
+    public static DataType dataTypeForOnnxType(int dataType) {
+        if(dataType == dataType) {
+            return FLOAT;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8) {
+            return INT8;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE) {
+            return DOUBLE;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL) {
+            return BOOL;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8) {
+            return UINT8;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16) {
+            return UINT16;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16) {
+            return INT16;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32) {
+            return INT32;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64) {
+            return INT64;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16) {
+            return FLOAT16;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32) {
+            return UINT32;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64) {
+            return UINT64;
+        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16) {
+            return BFLOAT16;
+        }
+        else
+            throw new IllegalArgumentException("Illegal data type " + dataType);
+    }
+
+    /**
+     * Convert the onnx type for the given data type
+     * @param dataType
+     * @return
+     */
+    public static int onnxTypeForDataType(DataType dataType) {
+        if(dataType == FLOAT) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
+        } else if(dataType == INT8) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;
+        } else if(dataType == DOUBLE) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE;
+        } else if(dataType == BOOL) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL;
+        } else if(dataType == UINT8) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8;
+        } else if(dataType == UINT16) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16;
+        } else if(dataType == INT16) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16;
+        } else if(dataType == INT32) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32;
+        } else if(dataType == INT64) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64;
+        } else if(dataType == FLOAT16) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16;
+        } else if(dataType == UINT32) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32;
+        } else if(dataType == UINT64) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64;
+        } else if(dataType == BFLOAT16) {
+            return ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16;
+        }
+        else
+            throw new IllegalArgumentException("Illegal data type " + dataType);
+    }
+
+
+    /**
+     * Convert an onnx {@link Value}
+     *  in to an {@link INDArray}
+     * @param value the value to convert
+     * @return
+     */
+    public static INDArray getArray(Value value) {
+        DataType dataType = dataTypeForOnnxType(value.GetTypeInfo().GetONNXType());
+        LongPointer shape = value.GetTensorTypeAndShapeInfo().GetShape();
+        long[] shapeConvert;
+        if(shape != null) {
+            shapeConvert = new long[(int) value.GetTensorTypeAndShapeInfo().GetDimensionsCount()];
+            shape.get(shapeConvert);
+        } else {
+            shapeConvert = new long[]{1};
+        }
+
+        DataBuffer getBuffer = getDataBuffer(value);
+        Preconditions.checkState(dataType.equals(getBuffer.dataType()),"Data type must be equivalent as specified by the onnx metadata.");
+        return Nd4j.create(getBuffer,shapeConvert,Nd4j.getStrides(shapeConvert),0);
+    }
+
+
+    /**
+     * Get the onnx log level relative to the given slf4j logger.
+     * Trace or debug will return ORT_LOGGING_LEVEL_VERBOSE
+     * Info will return: ORT_LOGGING_LEVEL_INFO
+     * Warn returns ORT_LOGGING_LEVEL_WARNING
+     * Error returns error ORT_LOGGING_LEVEL_ERROR
+     *
+     * The default is info
+     * @param logger the slf4j logger to get the onnx log level for
+     * @return
+     */
+    public static int getOnnxLogLevelFromLogger(Logger logger) {
+        if(logger.isTraceEnabled() || logger.isDebugEnabled()) {
+            return ORT_LOGGING_LEVEL_VERBOSE;
+        }
+        else if(logger.isInfoEnabled()) {
+            return ORT_LOGGING_LEVEL_INFO;
+        }
+        else if(logger.isWarnEnabled()) {
+            return ORT_LOGGING_LEVEL_WARNING;
+        }
+        else if(logger.isErrorEnabled()) {
+            return ORT_LOGGING_LEVEL_ERROR;
+        }
+
+        return ORT_LOGGING_LEVEL_INFO;
+
+    }
+
+    /**
+     * Get an onnx tensor from an ndarray.
+     * @param ndArray the ndarray to get the value from
+     * @param memoryInfo the {@link MemoryInfo} to use.
+     *                   Can be created with:
+     *                   MemoryInfo memoryInfo = MemoryInfo.CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
+     * @return
+     */
+    public static Value getTensor(INDArray ndArray, MemoryInfo memoryInfo) {
+        Pointer inputTensorValuesPtr = ndArray.data().pointer();
+        Pointer inputTensorValues = inputTensorValuesPtr;
+        long sizeInBytes = ndArray.length() * ndArray.data().getElementSize();
+
+        //        public static native Value CreateTensor(@Const OrtMemoryInfo var0, Pointer var1, @Cast({"size_t"}) long var2, @Cast({"const int64_t*"}) LongPointer var4, @Cast({"size_t"}) long var5, @Cast({"ONNXTensorElementDataType"}) int var7);
+        /**
+         *   static Value CreateTensor(const OrtMemoryInfo* info, void* p_data, size_t p_data_byte_count, const int64_t* shape, size_t shape_len,
+         *                             ONNXTensorElementDataType type)
+         */
+        LongPointer dims = new LongPointer(ndArray.shape());
+        Value ret =  Value.CreateTensor(
+                memoryInfo.asOrtMemoryInfo(),
+                inputTensorValues,
+                sizeInBytes,
+                dims,
+                ndArray.rank(),
+                onnxTypeForDataType(ndArray.dataType()));
+        return  ret;
+    }
+
+    /**
+     * Get the data buffer from the given value
+     * @param tens the values to get
+     * @return the equivalent data buffer
+     */
+    public static DataBuffer getDataBuffer(Value tens) {
+        try (PointerScope scope = new PointerScope()) {
+            DataBuffer buffer = null;
+            int type = tens.GetTensorTypeAndShapeInfo().GetElementType();
+            long size = tens.GetTensorTypeAndShapeInfo().GetElementCount();
+            switch (type) {
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT:
+                    FloatPointer pFloat = tens.GetTensorMutableDataFloat().capacity(size);
+                    FloatIndexer floatIndexer = FloatIndexer.create(pFloat);
+                    buffer = Nd4j.createBuffer(pFloat, DataType.FLOAT, size, floatIndexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
+                    BytePointer pUint8 = tens.GetTensorMutableDataUByte().capacity(size);
+                    Indexer uint8Indexer = ByteIndexer.create(pUint8);
+                    buffer = Nd4j.createBuffer(pUint8, DataType.UINT8, size, uint8Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8:
+                    BytePointer pInt8 = tens.GetTensorMutableDataByte().capacity(size);
+                    Indexer int8Indexer = ByteIndexer.create(pInt8);
+                    buffer = Nd4j.createBuffer(pInt8, DataType.UINT8, size, int8Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16:
+                    ShortPointer pUint16 = tens.GetTensorMutableDataUShort().capacity(size);
+                    Indexer uint16Indexer = ShortIndexer.create(pUint16);
+                    buffer = Nd4j.createBuffer(pUint16, DataType.UINT16, size, uint16Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16:
+                    ShortPointer pInt16 = tens.GetTensorMutableDataShort().capacity(size);
+                    Indexer int16Indexer = ShortIndexer.create(pInt16);
+                    buffer = Nd4j.createBuffer(pInt16, INT16, size, int16Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32:
+                    IntPointer pInt32 = tens.GetTensorMutableDataInt().capacity(size);
+                    Indexer int32Indexer = IntIndexer.create(pInt32);
+                    buffer = Nd4j.createBuffer(pInt32, DataType.INT32, size, int32Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64:
+                    LongPointer pInt64 = tens.GetTensorMutableDataLong().capacity(size);
+                    Indexer int64Indexer = LongIndexer.create(pInt64);
+                    buffer = Nd4j.createBuffer(pInt64, DataType.INT64, size, int64Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING:
+                    BytePointer pString = tens.GetTensorMutableDataByte().capacity(size);
+                    Indexer stringIndexer = ByteIndexer.create(pString);
+                    buffer = Nd4j.createBuffer(pString, DataType.INT8, size, stringIndexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL:
+                    BoolPointer pBool = tens.GetTensorMutableDataBool().capacity(size);
+                    Indexer boolIndexer = BooleanIndexer.create(new BooleanPointer(pBool)); //Converting from JavaCPP Bool to Boolean here - C++ bool type size is not defined, could cause problems on some platforms
+                    buffer = Nd4j.createBuffer(pBool, DataType.BOOL, size, boolIndexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16:
+                    ShortPointer pFloat16 = tens.GetTensorMutableDataShort().capacity(size);
+                    Indexer float16Indexer = ShortIndexer.create(pFloat16);
+                    buffer = Nd4j.createBuffer(pFloat16, DataType.FLOAT16, size, float16Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE:
+                    DoublePointer pDouble = tens.GetTensorMutableDataDouble().capacity(size);
+                    Indexer doubleIndexer = DoubleIndexer.create(pDouble);
+                    buffer = Nd4j.createBuffer(pDouble, DataType.DOUBLE, size, doubleIndexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32:
+                    IntPointer pUint32 = tens.GetTensorMutableDataUInt().capacity(size);
+                    Indexer uint32Indexer = IntIndexer.create(pUint32);
+                    buffer = Nd4j.createBuffer(pUint32, DataType.UINT32, size, uint32Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64:
+                    LongPointer pUint64 = tens.GetTensorMutableDataULong().capacity(size);
+                    Indexer uint64Indexer = LongIndexer.create(pUint64);
+                    buffer = Nd4j.createBuffer(pUint64, DataType.UINT64, size, uint64Indexer);
+                    break;
+                case ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16:
+                    ShortPointer pBfloat16 = tens.GetTensorMutableDataShort().capacity(size);
+                    Indexer bfloat16Indexer = ShortIndexer.create(pBfloat16);
+                    buffer = Nd4j.createBuffer(pBfloat16, DataType.BFLOAT16, size, bfloat16Indexer);
+                    break;
+                default:
+                    throw new RuntimeException("Unsupported data type encountered");
+            }
+            return buffer;
+        }
+    }
+
+}
diff --git a/nd4j/nd4j-onnxruntime/src/test/java/org/nd4j/onnxruntime/runner/OnnxRuntimeRunnerTests.java b/nd4j/nd4j-onnxruntime/src/test/java/org/nd4j/onnxruntime/runner/OnnxRuntimeRunnerTests.java
new file mode 100644
index 000000000..31ee661ba
--- /dev/null
+++ b/nd4j/nd4j-onnxruntime/src/test/java/org/nd4j/onnxruntime/runner/OnnxRuntimeRunnerTests.java
@@ -0,0 +1,55 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.onnxruntime.runner;
+
+import org.junit.Test;
+import org.nd4j.common.io.ClassPathResource;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import java.io.File;
+import java.util.Arrays;
+import java.util.LinkedHashMap;
+import java.util.Map;
+
+import static org.junit.Assert.assertEquals;
+
+public class OnnxRuntimeRunnerTests {
+
+
+
+    @Test
+    public void testAdd() throws Exception {
+        ClassPathResource classPathResource = new ClassPathResource("add.onnx");
+        File f = classPathResource.getFile();
+        INDArray x = Nd4j.scalar(1.0f).reshape(1,1);
+        INDArray y = Nd4j.scalar(1.0f).reshape(1,1);
+        OnnxRuntimeRunner onnxRuntimeRunner = OnnxRuntimeRunner.builder()
+                .modelUri(f.getAbsolutePath())
+                .build();
+        Map inputs = new LinkedHashMap<>();
+        inputs.put("x",x);
+        inputs.put("y",y);
+        Map exec = onnxRuntimeRunner.exec(inputs);
+        INDArray z = exec.get("z");
+        assertEquals(2.0,z.sumNumber().doubleValue(),1e-1);
+    }
+
+}
diff --git a/nd4j/nd4j-onnxruntime/src/test/resources/add.onnx b/nd4j/nd4j-onnxruntime/src/test/resources/add.onnx
new file mode 100644
index 000000000..c88dd8c32
--- /dev/null
+++ b/nd4j/nd4j-onnxruntime/src/test/resources/add.onnx
@@ -0,0 +1,16 @@
+:T
+
+x
+yz"AddaddZ
+x
+
+
+Z
+y
+
+
+b
+z
+
+
+B
\ No newline at end of file
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/pom.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/pom.xml
index 8938e6a4d..98a8b070f 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/pom.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/pom.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
             com.mashape.unirest
             unirest-java
-            ${unirest.version}
         
         
             org.nd4j
             nd4j-parameter-server-model
-            ${project.version}
         
         
             junit
@@ -49,7 +51,6 @@
         
             org.nd4j
             nd4j-aeron
-            ${project.version}
         
         
             org.zeroturnaround
@@ -65,7 +66,6 @@
         
             ch.qos.logback
             logback-classic
-            ${logback.version}
             test
         
         
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/main/java/org/nd4j/parameterserver/client/ParameterServerClient.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/main/java/org/nd4j/parameterserver/client/ParameterServerClient.java
index d962bbfcf..da853bcfb 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/main/java/org/nd4j/parameterserver/client/ParameterServerClient.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/main/java/org/nd4j/parameterserver/client/ParameterServerClient.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.client;
 
@@ -34,20 +38,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicReference;
 
-/**
- * Parameter server
- * client for
- * publishing and
- * retrieving ndarrays
- *
- * pushNDArray will send the given ndarray to the send url.
- * This is used for updating the master's current state.
- *
- * getArray() is used for retrieving the master ndarray's current
- * state from the parameter server.
- *
- * @author Adam Gibson
- */
 @Data
 @AllArgsConstructor
 @Builder
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/BackgroundDaemonStarter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/BackgroundDaemonStarter.java
index 6fd33fe75..7a582400a 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/BackgroundDaemonStarter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/BackgroundDaemonStarter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.background;
 
@@ -28,12 +32,6 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.concurrent.TimeoutException;
 
-/**
- * Start background daemons for tests
- * Credit to:
- * https://stackoverflow.com/questions/636367/executing-a-java-application-in-a-separate-process
- * @author Adam Gibson
- */
 @Slf4j
 public class BackgroundDaemonStarter {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/RemoteParameterServerClientTests.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/RemoteParameterServerClientTests.java
index 906629425..6fd129fbc 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/RemoteParameterServerClientTests.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/background/RemoteParameterServerClientTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.background;
 
@@ -36,9 +40,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.Assert.assertEquals;
 
-/**
- * Created by agibsonccc on 10/5/16.
- */
 @Slf4j
 public class RemoteParameterServerClientTests extends BaseND4JTest {
     private int parameterLength = 1000;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientPartialTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientPartialTest.java
index 32fef5c46..44ddd8793 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientPartialTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientPartialTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.client;
 
@@ -36,9 +40,6 @@ import static junit.framework.TestCase.assertFalse;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 10/3/16.
- */
 @Slf4j
 public class ParameterServerClientPartialTest extends BaseND4JTest {
     private static MediaDriver mediaDriver;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientTest.java
index 4425265bb..8e7e12128 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/java/org/nd4j/parameterserver/client/ParameterServerClientTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.client;
 
@@ -34,9 +38,6 @@ import static junit.framework.TestCase.assertFalse;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 10/3/16.
- */
 public class ParameterServerClientTest extends BaseND4JTest {
     private static MediaDriver mediaDriver;
     private static Logger log = LoggerFactory.getLogger(ParameterServerClientTest.class);
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/aeron.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/aeron.properties
index dc91547b2..7edd171a7 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/aeron.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/aeron.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 aeron.mtu.length=16384,
 aeron.socket.so_sndbuf=2097152,
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/log4j.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/log4j.properties
index 9e1c7cee0..cb622cedb 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/log4j.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 
 log4j.rootLogger=ERROR, Console
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/logback.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/logback.xml
index ca35ddc13..18c64d888 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/logback.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-client/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-model/pom.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-model/pom.xml
index 07d99e966..0333e7c75 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-model/pom.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-model/pom.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
-
+
 
 
             ch.qos.logback
             logback-classic
-            ${logback.version}
             test
         
         
             io.reactivex.rxjava2
             rxjava
-            2.2.0
+            2.2.21
         
         
             org.nd4j
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/VoidParameterServer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/VoidParameterServer.java
index a295ff8b8..c5515239f 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/VoidParameterServer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/VoidParameterServer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed;
 
@@ -48,18 +52,6 @@ import java.util.concurrent.Executors;
 import java.util.concurrent.ThreadPoolExecutor;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * This is "special case" distributed P2P parameter server implementation, suitable for Spark Word2Vec/ParagraphVectors/DeepWalk implementations.
- * Aeron is used as backbone for messaging system here.
- *
- * Highlights:
- * a) It does ONLY one-way messaging. Clients are NOT getting anything back from ParamServer.
- * b) It works sharded. Amount of shards is defined in runtime.
- * c) Data replication strategy is defined in runtime.
- * d) It's supposed to be used as singleton in Spark environment ONLY.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class VoidParameterServer {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/conf/VoidConfiguration.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/conf/VoidConfiguration.java
index 535c67b53..d18a9f897 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/conf/VoidConfiguration.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/conf/VoidConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.conf;
 
@@ -31,12 +35,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * Basic configuration pojo for VoidParameterServer.
- * This is used for example in Deeplearning4j's SharedTrainingMaster gradient sharing distributed training implementation
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 @AllArgsConstructor
 @Builder
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/ExecutionMode.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/ExecutionMode.java
index 0fad014d7..d40ae8afa 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/ExecutionMode.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/ExecutionMode.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum ExecutionMode {
     /**
      * This option assumes data (parameters) are split over multiple hosts
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/FaultToleranceStrategy.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/FaultToleranceStrategy.java
index 1450b119f..06412dcb4 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/FaultToleranceStrategy.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/FaultToleranceStrategy.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum FaultToleranceStrategy {
     NONE
 }
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeRole.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeRole.java
index c4add3d74..2b6a21368 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeRole.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeRole.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.enums;
 
-/**
- * @author raver119@gmail.com
- */
 public enum NodeRole {
     NONE, // just undefined role
     SHARD, // basic processing node
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeStatus.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeStatus.java
index 24141f172..98b23e404 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeStatus.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/NodeStatus.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.enums;
 
-/**
- * This enum describes possible states of cluster nodes
- *
- * @author raver119@gmail.com
- */
 public enum NodeStatus {
     /**
      * Node is up and running
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/TransportType.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/TransportType.java
index 88e46a9bf..323c275ab 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/TransportType.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/enums/TransportType.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.enums;
 
-/**
- * TransportType enum describes different Transport usable for ParameterServers implementation
- *
- * @author raver119@gmail.com
- */
 public enum TransportType {
     /**
      * This is default Transport implementation, suitable for network environments without UDP Broadcast support
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/ClientRouter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/ClientRouter.java
index 9b7595878..1abc801bd 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/ClientRouter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/ClientRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic;
 
@@ -21,12 +25,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * This interface describes routing for messaging
- * flowing in Client->Shard direction
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface ClientRouter {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/RetransmissionHandler.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/RetransmissionHandler.java
index 14fc07923..59db0f670 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/RetransmissionHandler.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/RetransmissionHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic;
 
@@ -21,9 +25,6 @@ import org.nd4j.parameterserver.distributed.conf.VoidConfiguration;
 import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface RetransmissionHandler {
     public enum TransmissionStatus {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/SequenceProvider.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/SequenceProvider.java
index bb56711ac..69505d051 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/SequenceProvider.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/SequenceProvider.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface SequenceProvider {
     Long getNextValue();
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/Storage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/Storage.java
index 04e9064d4..a6fd70833 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/Storage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/Storage.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface Storage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/Clipboard.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/Clipboard.java
index 31c8a2f36..684571853 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/Clipboard.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/Clipboard.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.completion;
 
@@ -25,12 +29,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.ConcurrentLinkedQueue;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Since VoidParameterServer assumes nearly endless asynchronous data flow, we'll use Clipboard approach to aggregate
- * different batches of aggregates coming in un-ordered.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class Clipboard {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/FrameCompletionHandler.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/FrameCompletionHandler.java
index 22619f726..6f12029b3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/FrameCompletionHandler.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/FrameCompletionHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.completion;
 
@@ -24,9 +28,6 @@ import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class FrameCompletionHandler {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/RequestDescriptor.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/RequestDescriptor.java
index adcc8220d..fe7c41548 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/RequestDescriptor.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/completion/RequestDescriptor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.completion;
 
@@ -20,9 +24,6 @@ import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.NoArgsConstructor;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/retransmission/DefaultRetransmissionHandler.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/retransmission/DefaultRetransmissionHandler.java
index 051fc296d..a8e335de5 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/retransmission/DefaultRetransmissionHandler.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/retransmission/DefaultRetransmissionHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.retransmission;
 
@@ -22,9 +26,6 @@ import org.nd4j.parameterserver.distributed.logic.RetransmissionHandler;
 import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class DefaultRetransmissionHandler implements RetransmissionHandler {
     private VoidConfiguration configuration;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/BaseRouter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/BaseRouter.java
index a6139a8dd..de8446205 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/BaseRouter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/BaseRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.routing;
 
@@ -24,9 +28,6 @@ import org.nd4j.parameterserver.distributed.logic.ClientRouter;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public abstract class BaseRouter implements ClientRouter {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouter.java
index 22c6a0e3d..7c048eba7 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.routing;
 
@@ -28,12 +32,6 @@ import org.nd4j.parameterserver.distributed.transport.Transport;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This is main router implementation for VoidParameterServer
- * Basic idea: We route TrainingMessages conditionally, based on Huffman tree index (aka frequency-ordered position)
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class InterleavedRouter extends BaseRouter {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/RandomRouter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/RandomRouter.java
index 45d1c7a0e..d86e3a3e0 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/RandomRouter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/RandomRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.routing;
 
@@ -23,13 +27,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * Basic implementation for ClientRouter: we route each message to random Shard
- *
- *
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class RandomRouter extends BaseRouter {
     protected int numShards;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/StaticRouter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/StaticRouter.java
index 89e6ab7b7..819de6a4d 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/StaticRouter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/routing/StaticRouter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.routing;
 
@@ -22,13 +26,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * Static router implementation, the same Shard will be used for all messages
- *
- * PLEASE NOTE: Never use this router in real world! It's suitable for debugging only.
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class StaticRouter extends BaseRouter {
     protected short targetIndex;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/sequence/BasicSequenceProvider.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/sequence/BasicSequenceProvider.java
index 2a0a50587..3154df4b0 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/sequence/BasicSequenceProvider.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/sequence/BasicSequenceProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.sequence;
 
@@ -20,9 +24,6 @@ import org.nd4j.parameterserver.distributed.logic.SequenceProvider;
 
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class BasicSequenceProvider implements SequenceProvider {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/BaseStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/BaseStorage.java
index 78fb26411..846a689d1 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/BaseStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/BaseStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.storage;
 
@@ -23,9 +27,6 @@ import org.nd4j.parameterserver.distributed.logic.Storage;
 
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public abstract class BaseStorage implements Storage {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/WordVectorStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/WordVectorStorage.java
index be121690f..06108ad52 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/WordVectorStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/logic/storage/WordVectorStorage.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.storage;
 
 import org.nd4j.parameterserver.distributed.logic.storage.BaseStorage;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class WordVectorStorage extends BaseStorage {
     public static final Integer SYN_0 = "syn0".hashCode();
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/BaseVoidMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/BaseVoidMessage.java
index d1276fe8a..133e643da 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/BaseVoidMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/BaseVoidMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
@@ -26,9 +30,6 @@ import org.nd4j.parameterserver.distributed.logic.Storage;
 import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 @Data
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Chain.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Chain.java
index d3a9f7ce4..a8b7d4895 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Chain.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Chain.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
-/**
- * This interface describes number of actions happening within VoidParameterServer in distributed manner
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface Chain {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/DistributedMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/DistributedMessage.java
index ced4ec489..9e7ffa905 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/DistributedMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/DistributedMessage.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface DistributedMessage extends VoidMessage {
 }
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Frame.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Frame.java
index e78e0143f..c6f4f8134 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Frame.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/Frame.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
@@ -36,11 +40,6 @@ import java.util.Collection;
 import java.util.Iterator;
 import java.util.List;
 
-/**
- * Simple wrapper for multiple request messages OF THE SAME TYPE being stacked into single message
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class Frame implements Serializable, Iterable, VoidMessage {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/MeaningfulMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/MeaningfulMessage.java
index 0fd5c38e7..dad15ac60 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/MeaningfulMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/MeaningfulMessage.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface MeaningfulMessage extends VoidMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/RequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/RequestMessage.java
index d853c9ac9..c3184cb3c 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/RequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/RequestMessage.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface RequestMessage extends VoidMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/TrainingMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/TrainingMessage.java
index c17c5bf4e..3468140b7 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/TrainingMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/TrainingMessage.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface TrainingMessage extends VoidMessage {
     // dummy interface
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidAggregation.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidAggregation.java
index 06fe5d714..0d3045939 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidAggregation.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidAggregation.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This interface describes special case for distributed environment: aggregation of partial responses received from different shards
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface VoidAggregation extends VoidMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidMessage.java
index 2d2e3a509..882d8f18b 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/VoidMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
@@ -30,9 +34,6 @@ import java.io.ByteArrayInputStream;
 import java.io.ObjectInputStream;
 import java.io.Serializable;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface VoidMessage extends Serializable {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/BaseAggregation.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/BaseAggregation.java
index ff29dda01..1aa729be0 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/BaseAggregation.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/BaseAggregation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.aggregations;
 
@@ -33,9 +37,6 @@ import java.util.*;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public abstract class BaseAggregation extends BaseVoidMessage implements VoidAggregation, Serializable {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/DotAggregation.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/DotAggregation.java
index 487f92b44..02971b14d 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/DotAggregation.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/DotAggregation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.aggregations;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.TreeMap;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class DotAggregation extends BaseAggregation {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/InitializationAggregation.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/InitializationAggregation.java
index 8c9f402f9..1f8304f23 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/InitializationAggregation.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/InitializationAggregation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.aggregations;
 
@@ -20,9 +24,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.parameterserver.distributed.messages.complete.InitializationCompleteMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class InitializationAggregation extends BaseAggregation {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/VectorAggregation.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/VectorAggregation.java
index d696d63da..2926e3ca5 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/VectorAggregation.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/aggregations/VectorAggregation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.aggregations;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.messages.VoidAggregation;
 import org.nd4j.parameterserver.distributed.messages.complete.VectorCompleteMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class VectorAggregation extends BaseAggregation {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/BaseCompleteMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/BaseCompleteMessage.java
index 216f37647..028652684 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/BaseCompleteMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/BaseCompleteMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.complete;
 
@@ -22,11 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.MeaningfulMessage;
 
-/**
- * This message contains information about finished computations for specific batch, being sent earlier
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/FrameCompleteMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/FrameCompleteMessage.java
index 30192ff48..f7fa164de 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/FrameCompleteMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/FrameCompleteMessage.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.complete;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class FrameCompleteMessage extends BaseCompleteMessage {
     protected FrameCompleteMessage() {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/InitializationCompleteMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/InitializationCompleteMessage.java
index e95807fe8..721b1b5c2 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/InitializationCompleteMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/InitializationCompleteMessage.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.complete;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class InitializationCompleteMessage extends BaseCompleteMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/IntroductionCompleteMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/IntroductionCompleteMessage.java
index f7f0e35d8..489b2f7e5 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/IntroductionCompleteMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/IntroductionCompleteMessage.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.complete;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class IntroductionCompleteMessage extends BaseCompleteMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/VectorCompleteMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/VectorCompleteMessage.java
index fab2803cd..2c77fecd2 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/VectorCompleteMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/complete/VectorCompleteMessage.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.complete;
 
 import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class VectorCompleteMessage extends BaseCompleteMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedAssignMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedAssignMessage.java
index 1a4942f18..8a370cb5f 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedAssignMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedAssignMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -21,11 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 
-/**
- * Assign target row to specified value
- *
- * @author raver119@gmail.com
- */
 @Data
 @Deprecated
 public class DistributedAssignMessage extends BaseVoidMessage implements DistributedMessage {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedCbowDotMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedCbowDotMessage.java
index b777fe2d7..258738a61 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedCbowDotMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedCbowDotMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -31,9 +35,6 @@ import org.nd4j.parameterserver.distributed.training.impl.CbowTrainer;
 
 import java.util.Arrays;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedInitializationMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedInitializationMessage.java
index 198f72276..8058076f1 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedInitializationMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedInitializationMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -29,9 +33,6 @@ import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 import org.nd4j.parameterserver.distributed.messages.aggregations.InitializationAggregation;
 
-/**
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 @Builder
 @Data
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedIntroductionMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedIntroductionMessage.java
index 3be94f7af..b172a1869 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedIntroductionMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedIntroductionMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -20,9 +24,6 @@ import lombok.NonNull;
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class DistributedIntroductionMessage extends BaseVoidMessage implements DistributedMessage {
     private String ip;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSgDotMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSgDotMessage.java
index 758ae897e..003cb6d15 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSgDotMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSgDotMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -31,9 +35,6 @@ import org.nd4j.parameterserver.distributed.training.impl.SkipGramTrainer;
 
 import java.util.Arrays;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedShutdownMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedShutdownMessage.java
index 8460ac0e9..50682fd69 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedShutdownMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedShutdownMessage.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class DistributedShutdownMessage extends BaseVoidMessage implements DistributedMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSkipGramMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSkipGramMessage.java
index 2bd98f089..c3219b129 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSkipGramMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSkipGramMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -21,9 +25,6 @@ import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 import org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class DistributedSkipGramMessage extends BaseVoidMessage implements DistributedMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSolidMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSolidMessage.java
index 95a3b34ff..b2a6f6478 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSolidMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedSolidMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 
-/**
- * Array passed here will be shared & available on all shards.
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedVectorMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedVectorMessage.java
index de878b05d..5fcfaee6e 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedVectorMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/intercom/DistributedVectorMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.intercom;
 
@@ -23,9 +27,6 @@ import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.DistributedMessage;
 import org.nd4j.parameterserver.distributed.messages.aggregations.VectorAggregation;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/AssignRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/AssignRequestMessage.java
index 23cd9308d..5020feaa3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/AssignRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/AssignRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -23,9 +27,6 @@ import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.RequestMessage;
 import org.nd4j.parameterserver.distributed.messages.intercom.DistributedAssignMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class AssignRequestMessage extends BaseVoidMessage implements RequestMessage {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/CbowRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/CbowRequestMessage.java
index 4449a5704..949ce9f43 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/CbowRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/CbowRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -26,9 +30,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/InitializationRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/InitializationRequestMessage.java
index bcb85a943..8bc285fcb 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/InitializationRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/InitializationRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -23,11 +27,6 @@ import org.nd4j.parameterserver.distributed.messages.RequestMessage;
 import org.nd4j.parameterserver.distributed.messages.aggregations.InitializationAggregation;
 import org.nd4j.parameterserver.distributed.messages.intercom.DistributedInitializationMessage;
 
-/**
- * This method propagates storage/weights initialization over distributed Shards
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Builder
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/IntroductionRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/IntroductionRequestMessage.java
index 9c3ebc0c2..67edb1c2a 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/IntroductionRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/IntroductionRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -20,11 +24,6 @@ import lombok.NonNull;
 import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.RequestMessage;
 
-/**
- * This message will be sent by each shard, during meeting
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class IntroductionRequestMessage extends BaseVoidMessage implements RequestMessage {
     private String ip;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/ShutdownRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/ShutdownRequestMessage.java
index c8280c869..bbcccb3ce 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/ShutdownRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/ShutdownRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -20,10 +24,6 @@ import org.nd4j.parameterserver.distributed.messages.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.messages.RequestMessage;
 import org.nd4j.parameterserver.distributed.messages.intercom.DistributedShutdownMessage;
 
-/**
- * This message
- * @author raver119@gmail.com
- */
 @Deprecated
 public class ShutdownRequestMessage extends BaseVoidMessage implements RequestMessage {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/SkipGramRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/SkipGramRequestMessage.java
index fb688eee1..d4eea43f9 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/SkipGramRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/SkipGramRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -27,14 +31,6 @@ import org.nd4j.parameterserver.distributed.training.TrainingDriver;
 
 import java.util.Arrays;
 
-/**
- * This is batch message, describing simple SkipGram round
- *
- * We assume this message is created on Client, and passed to selected Shard
- * Shard which received this message becomes a driver, which handles processing
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/VectorRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/VectorRequestMessage.java
index 0cf34e0e9..2a606322b 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/VectorRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/messages/requests/VectorRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.requests;
 
@@ -25,13 +29,6 @@ import org.nd4j.parameterserver.distributed.messages.RequestMessage;
 import org.nd4j.parameterserver.distributed.messages.aggregations.VectorAggregation;
 import org.nd4j.parameterserver.distributed.messages.intercom.DistributedVectorMessage;
 
-/**
- * This message requests full weights vector for specified index
- *
- * Client -> Shard version
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/BaseTrainer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/BaseTrainer.java
index 985c03126..407ae9a08 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/BaseTrainer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/BaseTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training;
 
@@ -24,9 +28,6 @@ import org.nd4j.parameterserver.distributed.logic.completion.FrameCompletionHand
 import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.co,
- */
 @Deprecated
 public abstract class BaseTrainer implements TrainingDriver {
     protected VoidConfiguration voidConfiguration;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainerProvider.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainerProvider.java
index 0e3b14619..a1686643f 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainerProvider.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainerProvider.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training;
 
@@ -29,9 +33,6 @@ import java.util.HashMap;
 import java.util.Map;
 import java.util.ServiceLoader;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public class TrainerProvider {
     private static final TrainerProvider INSTANCE = new TrainerProvider();
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainingDriver.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainingDriver.java
index 59154bbb5..cd68296c0 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainingDriver.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/TrainingDriver.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training;
 
@@ -23,9 +27,6 @@ import org.nd4j.parameterserver.distributed.messages.TrainingMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidAggregation;
 import org.nd4j.parameterserver.distributed.transport.Transport;
 
-/**
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface TrainingDriver {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/CbowChain.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/CbowChain.java
index 17a0e2dcd..817e9efaf 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/CbowChain.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/CbowChain.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training.chains;
 
@@ -25,9 +29,6 @@ import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.messages.aggregations.DotAggregation;
 import org.nd4j.parameterserver.distributed.messages.requests.CbowRequestMessage;
 
-/**
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 public class CbowChain implements Chain {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/SkipGramChain.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/SkipGramChain.java
index 9fa2dbfe8..fe5f90315 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/SkipGramChain.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/chains/SkipGramChain.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training.chains;
 
@@ -25,11 +29,6 @@ import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 import org.nd4j.parameterserver.distributed.messages.aggregations.DotAggregation;
 import org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage;
 
-/**
- * Chain implementation for SkipGram
- *
- * @author raver119@gmail.com
- */
 @Data
 @Slf4j
 public class SkipGramChain implements Chain {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/CbowTrainer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/CbowTrainer.java
index a4d50ab9b..78aa40bd3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/CbowTrainer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/CbowTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training.impl;
 
@@ -37,9 +41,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class CbowTrainer extends BaseTrainer {
     private static final float HS_MAX_EXP = 6.0f;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/SkipGramTrainer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/SkipGramTrainer.java
index 28b57942e..add4c0867 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/SkipGramTrainer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/training/impl/SkipGramTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.training.impl;
 
@@ -38,18 +42,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * Distributed SkipGram trainer
- *
- * TrainingDriver idea is simple:
- *      1) We get request from Client
- *      2) We initiate training by issuing DotRequest
- *      3) Each Shard does Dot accumulation
- *      4) As soon as Dot aggregated, we calculate gradients independently
- *      5) As soon as they are ready - we just apply them to appropriate
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class SkipGramTrainer extends BaseTrainer {
     private static final float HS_MAX_EXP = 6.0f;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/BaseTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/BaseTransport.java
index dbd6545d6..2c78b9ed8 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/BaseTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/BaseTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.transport;
 
@@ -45,9 +49,6 @@ import java.util.concurrent.LinkedBlockingQueue;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public abstract class BaseTransport implements Transport {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/LocalTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/LocalTransport.java
index 7832c57f5..fec4ac766 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/LocalTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/LocalTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.transport;
 
@@ -23,10 +27,6 @@ import org.nd4j.parameterserver.distributed.logic.completion.Clipboard;
 import org.nd4j.parameterserver.distributed.messages.MeaningfulMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public class LocalTransport implements Transport {
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/MulticastTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/MulticastTransport.java
index d01726116..f7c500f16 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/MulticastTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/MulticastTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.transport;
 
@@ -28,13 +32,6 @@ import org.nd4j.parameterserver.distributed.logic.completion.Clipboard;
 import org.nd4j.parameterserver.distributed.messages.MeaningfulMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 
-/**
- * Transport implementation based on Aeron UDP multicast
- *
- * PLEASE NOTE: This transport will NOT work on AWS or Azure out of box, due to Amazon/Microsoft restrictions within their networks.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class MulticastTransport extends BaseTransport {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/RoutedTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/RoutedTransport.java
index 9f18c4281..def534a9f 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/RoutedTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/RoutedTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.transport;
 
@@ -50,11 +54,6 @@ import java.util.concurrent.locks.LockSupport;
 
 import static java.lang.System.setProperty;
 
-/**
- * Transport implementation based on UDP unicast, for restricted environments, where multicast isn't available. I.e. AWS or Azure
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Deprecated
 public class RoutedTransport extends BaseTransport {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/Transport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/Transport.java
index 1641d0aff..7fe5dc2c2 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/Transport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/transport/Transport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.transport;
 
@@ -22,11 +26,6 @@ import org.nd4j.parameterserver.distributed.logic.completion.Clipboard;
 import org.nd4j.parameterserver.distributed.messages.MeaningfulMessage;
 import org.nd4j.parameterserver.distributed.messages.VoidMessage;
 
-/**
- * Transport interface describes Client -> Shard, Shard -> Shard, Shard -> Client communication
- *
- * @author raver119@gmail.com
- */
 @Deprecated
 public interface Transport {
     enum ThreadingModel {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkInformation.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkInformation.java
index 1b30ec208..4937478eb 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkInformation.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkInformation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.util;
 
@@ -24,9 +28,6 @@ import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 @Data
 public class NetworkInformation implements Serializable {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizer.java
index 04546d511..090eac35c 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.util;
 
@@ -26,11 +30,6 @@ import java.net.NetworkInterface;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Utility class that provides
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class NetworkOrganizer {
     protected List informationCollection;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServer.java
index f011c0d7b..0f1fc902c 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/ChunksTracker.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/ChunksTracker.java
index 95bec1e65..4bc2b0096 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/ChunksTracker.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/ChunksTracker.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.chunks;
 
 import org.nd4j.parameterserver.distributed.v2.messages.VoidMessage;
 
-/**
- * This interface describes logic for tracking chunks of bigger message
- */
 public interface ChunksTracker {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/VoidChunk.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/VoidChunk.java
index f10034b57..e9c6d5895 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/VoidChunk.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/VoidChunk.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.chunks;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTracker.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTracker.java
index ad4d2f57b..18ff83fb3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTracker.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTracker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.chunks.impl;
 
@@ -32,9 +36,6 @@ import java.io.*;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * File-based implementation of ChunksTracker
- */
 @Slf4j
 public class FileChunksTracker implements ChunksTracker {
     @Getter
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTracker.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTracker.java
index da41f9d77..1a13236da 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTracker.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTracker.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.chunks.impl;
 
@@ -31,9 +35,6 @@ import java.io.*;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 
-/**
- * Memory-based implementation of ChunksTracker
- */
 @Slf4j
 public class InmemoryChunksTracker implements ChunksTracker {
     @Getter
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/MeshBuildMode.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/MeshBuildMode.java
index dc7d8d7c0..c728a25b4 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/MeshBuildMode.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/MeshBuildMode.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.enums;
 
-/**
- * This enum
- * @author raver119@gmail.com
- */
 public enum MeshBuildMode {
     /**
      * In this mode all nodes are connected to the master, and master is responsible for messages propagation
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/PropagationMode.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/PropagationMode.java
index a72a96798..2da278b76 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/PropagationMode.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/PropagationMode.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.enums;
 
-/**
- * This enum describes possible message propagation
- * @author raver119@gmail.com
- */
 public enum PropagationMode {
     /**
      * Propagate in both directions
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/TransmissionStatus.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/TransmissionStatus.java
index 642ec254f..d28b9d5ea 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/TransmissionStatus.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/enums/TransmissionStatus.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.enums;
 
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
-/**
- * This enum describes possible result codes for Aeron-powered transmission
- *
- * @author raver119@gmail.com
- */
 public enum TransmissionStatus {
     UNKNOWN,
     OK,
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/BroadcastableMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/BroadcastableMessage.java
index 35ed80255..9025b5351 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/BroadcastableMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/BroadcastableMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/INDArrayMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/INDArrayMessage.java
index 755db4ba5..7d298e6cd 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/INDArrayMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/INDArrayMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/MessagesHistoryHolder.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/MessagesHistoryHolder.java
index f1fb23f85..0bc514995 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/MessagesHistoryHolder.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/MessagesHistoryHolder.java
@@ -1,25 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
-/**
- * This interface describes class responsible for keeping track of VoidMessages passed through any given node via Broadcast mechanics, to avoid duplication of messages
- * @author raver119@gmail.com
- */
 public interface MessagesHistoryHolder {
     /**
      * This method adds id of the message to the storage, if message is unknown
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/RequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/RequestMessage.java
index 575ea1610..93e58980d 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/RequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/RequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/ResponseMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/ResponseMessage.java
index e62bf91b7..e7c466bb9 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/ResponseMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/ResponseMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessage.java
index f030269f9..1bc4f92ee 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolder.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolder.java
index 31f13ace3..1a0a84324 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolder.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.history;
 
@@ -23,10 +27,6 @@ import java.util.LinkedHashMap;
 import java.util.Map;
 import java.util.Set;
 
-/**
- * Basic implementation of Model
- * @author raver119@gmail.com
- */
 public class HashHistoryHolder implements MessagesHistoryHolder {
     protected final Set set;
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/GradientsUpdateMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/GradientsUpdateMessage.java
index bdbd69fc5..7d5316115 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/GradientsUpdateMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/GradientsUpdateMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.impl;
 
@@ -21,10 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.v2.messages.BroadcastableMessage;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseINDArrayMessage;
 
-/**
- * This message holds INDArray with gradients update
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public final class GradientsUpdateMessage extends BaseINDArrayMessage implements BroadcastableMessage {
     private static final long serialVersionUID = 1L;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/MeshUpdateMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/MeshUpdateMessage.java
index 71cdce662..a37001bee 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/MeshUpdateMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/MeshUpdateMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.impl;
 
@@ -24,10 +28,6 @@ import org.nd4j.parameterserver.distributed.v2.messages.BroadcastableMessage;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseVoidMessage;
 import org.nd4j.parameterserver.distributed.v2.util.MeshOrganizer;
 
-/**
- * This message is used to send Mesh state to all nodes within network
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class MeshUpdateMessage extends BaseVoidMessage implements BroadcastableMessage {
     private static final long serialVersionUID = 1L;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseINDArrayMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseINDArrayMessage.java
index 4cf275a0f..57920801e 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseINDArrayMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseINDArrayMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.impl.base;
 
@@ -20,10 +24,6 @@ import lombok.*;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.v2.messages.INDArrayMessage;
 
-/**
- * This message holds some INDArray
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 @AllArgsConstructor
 public abstract class BaseINDArrayMessage implements INDArrayMessage {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseRequestMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseRequestMessage.java
index 2ea55403f..2da5c5a40 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseRequestMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseRequestMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.impl.base;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseResponseMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseResponseMessage.java
index 611f2d3d7..3d4b623ae 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseResponseMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseResponseMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.impl.base;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseVoidMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseVoidMessage.java
index e5b380b2c..f67dde9e5 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseVoidMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/impl/base/BaseVoidMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.impl.base;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeRequest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeRequest.java
index 18b4f26ce..5216110f6 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeRequest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeRequest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.handshake;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeResponse.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeResponse.java
index 87ea2737c..af77527ac 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeResponse.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/handshake/HandshakeResponse.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.handshake;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersMessage.java
index 02105ee6c..4ffeb17c7 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.params;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.v2.messages.ResponseMessage;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseINDArrayMessage;
 
-/**
- * This message holds INDArray with model parameters
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public final class ModelParametersMessage extends BaseINDArrayMessage implements ResponseMessage {
     private static final long serialVersionUID = 1L;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersRequest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersRequest.java
index f2b06ce23..06d650c12 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersRequest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/ModelParametersRequest.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.params;
 
 import lombok.NoArgsConstructor;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseRequestMessage;
 
-/**
- * This message represents request for ModelParameters
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class ModelParametersRequest extends BaseRequestMessage {
     //
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersMessage.java
index 57eb8d73d..bb59958d2 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersMessage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.params;
 
@@ -24,10 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.parameterserver.distributed.v2.messages.ResponseMessage;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseINDArrayMessage;
 
-/**
- * This message holds INDArray with model parameters
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public final class UpdaterParametersMessage extends BaseINDArrayMessage implements ResponseMessage {
     private static final long serialVersionUID = 1L;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersRequest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersRequest.java
index 76c0ff312..26ee98b83 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersRequest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/params/UpdaterParametersRequest.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.params;
 
 import lombok.NoArgsConstructor;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseRequestMessage;
 
-/**
- * This message represents request for Updater Parameters (if applicable)
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class UpdaterParametersRequest extends BaseRequestMessage {
     //
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PingMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PingMessage.java
index b60b7b5a3..605ea5c27 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PingMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PingMessage.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.ping;
 
 import lombok.NoArgsConstructor;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseRequestMessage;
 
-/**
- * This message is just a Ping message, which will cause recepient to send Pong message back
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class PingMessage extends BaseRequestMessage {
 }
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PongMessage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PongMessage.java
index a269f81ff..8c1499535 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PongMessage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/messages/pairs/ping/PongMessage.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.pairs.ping;
 
 import lombok.NoArgsConstructor;
 import org.nd4j.parameterserver.distributed.v2.messages.impl.base.BaseResponseMessage;
 
-/**
- * This message is just a Pong message, which is sent in response to Ping message back to Ping sender
- *
- * @author raver119@gmail.com
- */
 @NoArgsConstructor
 public class PongMessage extends BaseResponseMessage {
     // TODO: add some telemetry here
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/MessageCallable.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/MessageCallable.java
index a9a2b792c..dec2a29cc 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/MessageCallable.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/MessageCallable.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport;
 
 import org.nd4j.parameterserver.distributed.v2.messages.VoidMessage;
 
-/**
- * This interface describes callable that will be applied to incoming message in Transport
- *
- * @param 
- * @author raver119@gmail.com
- */
 public interface MessageCallable {
     void apply(T message);
 }
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/PortSupplier.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/PortSupplier.java
index 207294fa4..58995f3d9 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/PortSupplier.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/PortSupplier.java
@@ -1,39 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport;
 
 import java.io.Serializable;
 
-/**
- * PortSupplier is an interface that is used to control the network ports used by Aeron (used in DL4J GradientSharing
- * implementation and ND4J's parameter server functionality).
        
- *
        
- * Build-in implementations include:
        
- * {@link org.nd4j.parameterserver.distributed.v2.transport.impl.StaticPortSupplier}: used to provide a single fixed port for
- * use across all machines.
        
- * {@link org.nd4j.parameterserver.distributed.v2.transport.impl.EnvironmentVarPortSupplier}: used to specify an environment
- * variable that should be read to determine the port to be used. The environment variable (and hence port) may be different
- * on different machines in the cluster.
        
- * 
        
- * Note that users may provide their own PortSupplier implementation to provide different behaviour for determining the
- * networking port to use.
- *
- * @author raver119@gmail.com
- */
 public interface PortSupplier extends Serializable {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/RestartCallback.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/RestartCallback.java
index db0834251..52402aec6 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/RestartCallback.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/RestartCallback.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport;
 
 import org.nd4j.parameterserver.distributed.v2.messages.pairs.handshake.HandshakeResponse;
 
-/**
- * This interface describes callable which will be called upon restart signal coming from cluster
- *
- * @author raver119@gmail.com
- */
 public interface RestartCallback {
     void call(HandshakeResponse response);
 }
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/Transport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/Transport.java
index d704030a5..892378ede 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/Transport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/Transport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport;
 
@@ -28,11 +32,6 @@ import org.reactivestreams.Publisher;
 import java.io.IOException;
 import java.util.concurrent.TimeUnit;
 
-/**
- * This interface describes Transport abstraction, used to communicate between cluster nodes
- *
- * @author raver119@gmail.com
- */
 public interface Transport {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdaterParametersProvider.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdaterParametersProvider.java
index f3652bae4..7ebd1b5a9 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdaterParametersProvider.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdaterParametersProvider.java
@@ -1,28 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * This interface describes simple abstraction that provides DL4J MLN/CG updater state view array
- *
- * @author raver119@gmail.com
- */
 public interface UpdaterParametersProvider {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdatesHandler.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdatesHandler.java
index da302f95b..776aa419a 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdatesHandler.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/UpdatesHandler.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.reactivestreams.Subscriber;
 
-/**
- * This interface describes Subscriber capable of providing safe access to underlying parameters
- */
 public interface UpdatesHandler extends Subscriber {
     /**
      * This method returns parameters array maintained by this handler
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransport.java
index ed993af6e..45d3f40ee 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
@@ -56,11 +60,6 @@ import java.util.concurrent.locks.ReentrantLock;
 
 import static java.lang.System.setProperty;
 
-/**
- * This class is a UDP implementation of Transport interface, based on Aeron
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class AeronUdpTransport extends BaseTransport implements AutoCloseable {
     // this is for tests only
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/BaseTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/BaseTransport.java
index 1a4c239e0..3cc941171 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/BaseTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/BaseTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
@@ -51,10 +55,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.locks.LockSupport;
 import java.util.stream.Collectors;
 
-/**
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public abstract  class BaseTransport  implements Transport {
     // this stream is for delivering messages from this host to other hosts in the network
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DelayedDummyTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DelayedDummyTransport.java
index 5156a5d44..899955341 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DelayedDummyTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DelayedDummyTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransport.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransport.java
index aac3dd3fb..4ed3fdb4b 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransport.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransport.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
@@ -34,11 +38,6 @@ import java.util.Map;
 import java.util.Objects;
 import java.util.concurrent.*;
 
-/**
- * This class is an in-memory implementation of Transport interface, written for tests
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class DummyTransport extends BaseTransport {
     // this is for tests only
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/EnvironmentVarPortSupplier.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/EnvironmentVarPortSupplier.java
index 4f56310e6..ee0a59787 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/EnvironmentVarPortSupplier.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/EnvironmentVarPortSupplier.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
@@ -21,17 +25,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
 import org.nd4j.parameterserver.distributed.v2.transport.PortSupplier;
 
-/**
- * This class is an implementation of {@link PortSupplier} that provides port information for Transport, based on
- * an environment variable.
        
- * Note: The environment variable must be available on all machines in the cluster, and contain a valid port in range 1
- * to 65535 (inclusive) as an integer value. The environment variable may have different values on different machines,
- * which can be used to set the port to a different value on each worker node.
        
- * Note that this implementation does not check if a port is actually available - it merely reads and parses
- * the environment variable on the worker, to decide the port to use.
- *
- * @author raver119@gmail.com
- */
 @Data
 public class EnvironmentVarPortSupplier implements PortSupplier {
     @Getter(AccessLevel.NONE)
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/StaticPortSupplier.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/StaticPortSupplier.java
index 53465dc91..02c18ac57 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/StaticPortSupplier.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/transport/impl/StaticPortSupplier.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
@@ -20,10 +24,6 @@ import lombok.*;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.parameterserver.distributed.v2.transport.PortSupplier;
 
-/**
- * This class provides static pre-defined port - a fixed value for all machines in the cluster.
- * @author raver119@gmail.com
- */
 @Data
 public class StaticPortSupplier implements PortSupplier {
     @Getter(AccessLevel.NONE)
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractSubscriber.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractSubscriber.java
index 2f5a4a2d1..25c018684 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractSubscriber.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractSubscriber.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractUpdatesHandler.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractUpdatesHandler.java
index 36bdf0024..3c3afe51c 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractUpdatesHandler.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/AbstractUpdatesHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizer.java
index 79326b51d..3adaec329 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
@@ -33,11 +37,6 @@ import java.util.concurrent.LinkedTransferQueue;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This class provides methods for ephemeral mesh network management
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 public class MeshOrganizer implements Serializable {
     private static final long serialVersionUID = 1L;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitter.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitter.java
index fb8fe3754..a8b9422ef 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitter.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitter.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
@@ -37,11 +41,6 @@ import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicLong;
 
-/**
- * This class provides methods for splitting VoidMessages into chunks, and merging them back again
- *
- * @author raver119@gmail.com
- */
 public class MessageSplitter {
     private static final MessageSplitter INSTANCE = new MessageSplitter();
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/UpdaterParametersHolder.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/UpdaterParametersHolder.java
index 2c88de57c..93d312463 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/UpdaterParametersHolder.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/distributed/v2/util/UpdaterParametersHolder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
@@ -23,11 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.Serializable;
 
-/**
- * This class provides simple holder functionaliy
- *
- * @author raver119@gmail.com
- */
 @Data
 @NoArgsConstructor
 @AllArgsConstructor
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/node/ParameterServerNode.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/node/ParameterServerNode.java
index f65559b66..c166fa6cc 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/node/ParameterServerNode.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/java/org/nd4j/parameterserver/node/ParameterServerNode.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.node;
 
@@ -34,14 +38,6 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * Integrated node for running
- * the parameter server.
- * This includes the status server,
- * media driver, and parameter server subscriber
- *
- * @author Adam Gibson
- */
 @Slf4j
 @NoArgsConstructor
 @Data
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/META-INF/services/org.nd4j.parameterserver.distributed.training.TrainingDriver b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/META-INF/services/org.nd4j.parameterserver.distributed.training.TrainingDriver
index ebaffb9a8..026671baf 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/META-INF/services/org.nd4j.parameterserver.distributed.training.TrainingDriver
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/META-INF/services/org.nd4j.parameterserver.distributed.training.TrainingDriver
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 ################################################################################
 # Copyright (c) 2015-2018 Skymind, Inc.
 #
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/aeron.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/aeron.properties
index f140d0536..75673f531 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/aeron.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/main/resources/aeron.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 aeron.mtu.length=8192
 aeron.client.liveness.timeout=30000000000
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerStressTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerStressTest.java
index bfd603636..eccba224e 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerStressTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerStressTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed;
 
@@ -47,14 +51,6 @@ import java.util.concurrent.atomic.AtomicLong;
 
 import static org.junit.Assert.*;
 
-/**
- * This set of tests doesn't has any assertions within.
- * All we care about here - performance and availability
- *
- * Tests for all environments are paired: one test for blocking messages, other one for non-blocking messages.
- *
- * @author raver119@gmail.com
- */
 @Slf4j
 @Ignore
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerTest.java
index c0d1c563a..7b29c7d6a 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/VoidParameterServerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed;
 
@@ -49,9 +53,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Ignore
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/conf/VoidConfigurationTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/conf/VoidConfigurationTest.java
index 3156d5da7..614d31004 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/conf/VoidConfigurationTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/conf/VoidConfigurationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.conf;
 
@@ -24,9 +28,6 @@ import org.nd4j.linalg.exception.ND4JIllegalStateException;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 public class VoidConfigurationTest extends BaseND4JTest {
 
     @Rule
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/ClipboardTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/ClipboardTest.java
index 586aed753..3efe9e290 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/ClipboardTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/ClipboardTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic;
 
@@ -30,9 +34,6 @@ import java.util.*;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Ignore
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/FrameCompletionHandlerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/FrameCompletionHandlerTest.java
index 198672ada..3a7982a3f 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/FrameCompletionHandlerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/FrameCompletionHandlerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic;
 
@@ -26,9 +30,6 @@ import org.nd4j.parameterserver.distributed.logic.completion.FrameCompletionHand
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Ignore
 @Deprecated
 public class FrameCompletionHandlerTest extends BaseND4JTest {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouterTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouterTest.java
index cf52d165e..a7ed8d614 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouterTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/logic/routing/InterleavedRouterTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.logic.routing;
 
@@ -34,9 +38,6 @@ import java.util.Arrays;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Ignore
 @Deprecated
 public class InterleavedRouterTest extends BaseND4JTest {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/FrameTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/FrameTest.java
index 57031559f..077f38af9 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/FrameTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/FrameTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
@@ -33,9 +37,6 @@ import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Ignore
 @Deprecated
 public class FrameTest extends BaseND4JTest {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/VoidMessageTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/VoidMessageTest.java
index 94f1a6e44..9215d8a34 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/VoidMessageTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/VoidMessageTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages;
 
@@ -25,9 +29,6 @@ import org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMes
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Ignore
 @Deprecated
 public class VoidMessageTest extends BaseND4JTest {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/aggregations/VoidAggregationTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/aggregations/VoidAggregationTest.java
index c8484a0da..a6d51390d 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/aggregations/VoidAggregationTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/messages/aggregations/VoidAggregationTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.messages.aggregations;
 
@@ -28,9 +32,6 @@ import java.util.List;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 @Ignore
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/transport/RoutedTransportTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/transport/RoutedTransportTest.java
index cd7cb919a..b11550fe4 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/transport/RoutedTransportTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/transport/RoutedTransportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.transport;
 
@@ -35,9 +39,6 @@ import java.util.concurrent.TimeUnit;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Ignore
 @Deprecated
 public class RoutedTransportTest extends BaseND4JTest {
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizerTest.java
index d21564bef..ed5ba6722 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/util/NetworkOrganizerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.util;
 
@@ -26,9 +30,6 @@ import java.util.*;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class NetworkOrganizerTest extends BaseND4JTest {
     @Before
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/DelayedModelParameterServerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/DelayedModelParameterServerTest.java
index 2f53e1eba..affdada33 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/DelayedModelParameterServerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/DelayedModelParameterServerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServerTest.java
index 420c50229..1dc399684 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/ModelParameterServerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTrackerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTrackerTest.java
index 736719c1d..8697d62d3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTrackerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/FileChunksTrackerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.chunks.impl;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTrackerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTrackerTest.java
index 28798cd36..4417e8553 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTrackerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/chunks/impl/InmemoryChunksTrackerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.chunks.impl;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessageTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessageTest.java
index 5719baabe..ce9ec9ff6 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessageTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/VoidMessageTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolderTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolderTest.java
index ee90e7b52..602c1361c 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolderTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/messages/history/HashHistoryHolderTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.messages.history;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransportTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransportTest.java
index 8d417e8c3..d9814d788 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransportTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/AeronUdpTransportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransportTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransportTest.java
index bbd5f9074..45a6a5f04 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransportTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/transport/impl/DummyTransportTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.transport.impl;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizerTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizerTest.java
index 0d92d30b5..1542aca78 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizerTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MeshOrganizerTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
@@ -29,9 +33,6 @@ import java.util.ArrayList;
 
 import static org.junit.Assert.*;
 
-/**
- * @author raver119@gmail.com
- */
 @Slf4j
 public class MeshOrganizerTest extends BaseND4JTest {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitterTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitterTest.java
index 3d38c8f46..aa58a8cf2 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitterTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/distributed/v2/util/MessageSplitterTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.distributed.v2.util;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/node/ParameterServerNodeTest.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/node/ParameterServerNodeTest.java
index 089ecbdc7..be22cdb84 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/node/ParameterServerNodeTest.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/java/org/nd4j/parameterserver/node/ParameterServerNodeTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.node;
 
@@ -33,9 +37,6 @@ import java.util.concurrent.Executors;
 
 import static org.junit.Assert.*;
 
-/**
- * Created by agibsonccc on 12/3/16.
- */
 @Slf4j
 @Ignore
 @Deprecated
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/aeron.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/aeron.properties
index 1cf7b26dc..6a488d7bc 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/aeron.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/aeron.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 aeron.mtu.length=16384,
 aeron.socket.so_sndbuf=2097152,
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/log4j.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/log4j.properties
index f3d3a4afb..b01306faa 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/log4j.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 
 log4j.rootLogger=ERROR, Console
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/logback.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/logback.xml
index c483a01c6..3a6ddcea5 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/logback.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-node/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-rocksdb-storage/pom.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-rocksdb-storage/pom.xml
index 733d1ae1b..a929e89fe 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-rocksdb-storage/pom.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-rocksdb-storage/pom.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
-
+
 
  statusStorageMap = createMap();
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/InMemoryStatusStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/InMemoryStatusStorage.java
index abd0fd29f..87ec983e4 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/InMemoryStatusStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/InMemoryStatusStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.status.play;
 
@@ -22,11 +26,6 @@ import org.nd4j.parameterserver.model.SubscriberState;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * In memory status storage
- * for parameter server subscribers
- * @author Adam Gibson
- */
 public class InMemoryStatusStorage extends BaseStatusStorage {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/MapDbStatusStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/MapDbStatusStorage.java
index d0cd789be..f8377f244 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/MapDbStatusStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/MapDbStatusStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.status.play;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusServer.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusServer.java
index e8b149f67..ef3806ffa 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusServer.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusServer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.status.play;
 
@@ -33,19 +37,6 @@ import static play.libs.Json.toJson;
 import static play.mvc.Results.ok;
 
 
-/**
- * Play server for communicating
- * the status of
- * the subscriber daemon.
- *
- * This is a rest server for communicating
- * information such as whether the server is started or ont
- * as well as additional connection information.
- *
- * This is mainly meant for internal use.
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class StatusServer {
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusStorage.java
index b529baacb..7cecb1735 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/main/java/org/nd4j/parameterserver/status/play/StatusStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.status.play;
 
@@ -20,12 +24,6 @@ import org.nd4j.parameterserver.model.SubscriberState;
 
 import java.util.List;
 
-/**
- * An interface for storing information
- * about the status of a {@link org.nd4j.parameterserver.ParameterServerSubscriber}
- *
- * @author Adam Gibson
- */
 public interface StatusStorage {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StatusServerTests.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StatusServerTests.java
index ff2f818ec..419a1a871 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StatusServerTests.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StatusServerTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.status.play;
 
@@ -20,9 +24,6 @@ import org.junit.Test;
 import org.nd4j.common.tests.BaseND4JTest;
 import play.server.Server;
 
-/**
- * Created by agibsonccc on 12/1/16.
- */
 public class StatusServerTests extends BaseND4JTest {
 
     @Test(timeout = 20000L)
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StorageTests.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StorageTests.java
index 0e8184922..f0ed8a206 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StorageTests.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/java/org/nd4j/parameterserver/status/play/StorageTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.status.play;
 
@@ -23,9 +27,6 @@ import org.nd4j.parameterserver.model.SubscriberState;
 import static junit.framework.TestCase.assertEquals;
 import static org.junit.Assert.assertTrue;
 
-/**
- * Created by agibsonccc on 12/1/16.
- */
 public class StorageTests extends BaseND4JTest {
 
     @Test(timeout = 20000L)
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/log4j.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/log4j.properties
index 6cc92e8cd..0b53faa91 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/log4j.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 
 log4j.rootLogger=ERROR, Console
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/logback.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/logback.xml
index ca35ddc13..18c64d888 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/logback.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server-status/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/pom.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/pom.xml
index ec93d0be7..d8f11cacb 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/pom.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/pom.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
             org.nd4j
             nd4j-parameter-server-model
-            ${project.version}
                 
         
             org.nd4j
             nd4j-aeron
-            ${project.version}
         
         
             org.slf4j
@@ -59,7 +61,6 @@
         
             com.mashape.unirest
             unirest-java
-            ${unirest.version}
         
         
             org.nd4j
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerListener.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerListener.java
index 2c8ded6fe..eae71f7d3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerListener.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver;
 
@@ -26,15 +30,6 @@ import org.nd4j.parameterserver.updater.SynchronousParameterUpdater;
 import org.nd4j.parameterserver.updater.storage.NoUpdateStorage;
 
 
-/**
- * Parameter server
- * listener. This holds an
- * {@link INDArray} in memory
- * and maintains the "master copy"
- *
- * of the ndarray.
- * @author Adam Gibson
- */
 @Data
 public class ParameterServerListener implements NDArrayCallback {
     private ParameterServerUpdater updater;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerSubscriber.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerSubscriber.java
index 0ff344793..8cd60049d 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerSubscriber.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/ParameterServerSubscriber.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver;
 
@@ -67,13 +71,6 @@ import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.locks.LockSupport;
 
-/**
- * Subscriber main class for
- * the parameter
- * averaging server
- *
- * @author Adam Gibson
- */
 @NoArgsConstructor
 @Data
 @Parameters(separators = ",")
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/PublishingListener.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/PublishingListener.java
index 0a4a1b2d7..c3a223129 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/PublishingListener.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/PublishingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/BaseParameterUpdater.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/BaseParameterUpdater.java
index 0790a5182..62a5dbdb0 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/BaseParameterUpdater.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/BaseParameterUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater;
 
@@ -20,13 +24,6 @@ import org.nd4j.aeron.ipc.NDArrayHolder;
 import org.nd4j.parameterserver.updater.storage.InMemoryUpdateStorage;
 import org.nd4j.parameterserver.updater.storage.UpdateStorage;
 
-/**
- * Base class for the parameter updater
- * handling things such as update storage
- * and basic operations like reset and number of updates
- *
- * @author Adam Gibson
- */
 public abstract class BaseParameterUpdater implements ParameterServerUpdater {
     protected UpdateStorage updateStorage;
     protected NDArrayHolder ndArrayHolder;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/ParameterServerUpdater.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/ParameterServerUpdater.java
index 725b3e846..3e9fcb7a5 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/ParameterServerUpdater.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/ParameterServerUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater;
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SoftSyncParameterUpdater.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SoftSyncParameterUpdater.java
index 17bff5e8f..59e19ab10 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SoftSyncParameterUpdater.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SoftSyncParameterUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- * Created by agibsonccc on 12/1/16.
- */
 public class SoftSyncParameterUpdater extends BaseParameterUpdater {
     //track time stamps of messages coming in to find out which generation a message is meant for
     //alxways log where the message time stamp began
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SynchronousParameterUpdater.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SynchronousParameterUpdater.java
index 65f005e06..5a0963ead 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SynchronousParameterUpdater.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/SynchronousParameterUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater;
 
@@ -26,13 +30,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * Adds the 2 arrays together,
- * synchronizing when
- * all updates have been collected.
- *
- * @author Adam Gibson
- */
 public class SynchronousParameterUpdater extends BaseParameterUpdater {
 
     private int workers = Runtime.getRuntime().availableProcessors();
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/TimeDelayedParameterUpdater.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/TimeDelayedParameterUpdater.java
index 3659b2365..8869a9e35 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/TimeDelayedParameterUpdater.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/TimeDelayedParameterUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater;
 
@@ -21,9 +25,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.Map;
 
-/**
- * Created by agibsonccc on 12/1/16.
- */
 public class TimeDelayedParameterUpdater extends BaseParameterUpdater {
     private long syncTime;
     private long lastSynced;
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/BaseUpdateStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/BaseUpdateStorage.java
index 5fa0caca5..b57eea302 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/BaseUpdateStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/BaseUpdateStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater.storage;
 
@@ -20,11 +24,6 @@ package org.nd4j.parameterserver.updater.storage;
 import org.nd4j.aeron.ipc.NDArrayMessage;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * Base class for common logic in update storage
- *
- * @author Adam Gibson
- */
 public abstract class BaseUpdateStorage implements UpdateStorage {
     /**
      * Get the update at the specified index
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/InMemoryUpdateStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/InMemoryUpdateStorage.java
index 54cf113e2..73202e0d2 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/InMemoryUpdateStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/InMemoryUpdateStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater.storage;
 
@@ -22,12 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.List;
 import java.util.concurrent.CopyOnWriteArrayList;
 
-/**
- * An in memory storage mechanism backed
- * by a thread safe {@link CopyOnWriteArrayList}
- *
- * @author Adam Gibson
- */
 public class InMemoryUpdateStorage extends BaseUpdateStorage {
 
     private List updates = new CopyOnWriteArrayList<>();
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/NoUpdateStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/NoUpdateStorage.java
index 1934f5684..a44db1a40 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/NoUpdateStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/NoUpdateStorage.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater.storage;
 
@@ -21,11 +25,6 @@ import org.nd4j.aeron.ipc.NDArrayMessage;
 
 import java.util.concurrent.atomic.AtomicInteger;
 
-/**
- * Update storage that only stores update counts
- *
- * @author Adam Gibson
- */
 @Slf4j
 public class NoUpdateStorage extends BaseUpdateStorage {
     private AtomicInteger updateCount = new AtomicInteger(0);
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/UpdateStorage.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/UpdateStorage.java
index 9c86111bb..b333b25d3 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/UpdateStorage.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/updater/storage/UpdateStorage.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater.storage;
 
 import org.nd4j.aeron.ipc.NDArrayMessage;
 
-/**
- * An interface for storing parameter server updates.
- * This is used by an {@link org.nd4j.parameterserver.updater.ParameterServerUpdater}
- * to handle storage of ndarrays
- *
- * @author Adam Gibson
- */
 public interface UpdateStorage {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/util/CheckSocket.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/util/CheckSocket.java
index de88ff27a..cf473604d 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/util/CheckSocket.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/main/java/org/nd4j/parameterserver/util/CheckSocket.java
@@ -1,29 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.util;
 
 import java.io.IOException;
 import java.net.*;
 
-/**
- * Credit: https://stackoverflow.com/questions/5226905/test-if-remote-port-is-in-use
- *
- *
- */
 public class CheckSocket {
 
     /**
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/ParameterServerUpdaterTests.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/ParameterServerUpdaterTests.java
index 2049a3a2d..1d60f9c20 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/ParameterServerUpdaterTests.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/ParameterServerUpdaterTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater;
 
@@ -27,9 +31,6 @@ import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertTrue;
 import static org.junit.Assume.assumeNotNull;
 
-/**
- * Created by agibsonccc on 12/2/16.
- */
 public class ParameterServerUpdaterTests extends BaseND4JTest {
 
     @Test(timeout = 30000L)
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/storage/UpdaterStorageTests.java b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/storage/UpdaterStorageTests.java
index f4678b2d7..df12a9b41 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/storage/UpdaterStorageTests.java
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/java/org/nd4j/parameterserver/updater/storage/UpdaterStorageTests.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.parameterserver.updater.storage;
 
@@ -23,9 +27,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import static junit.framework.TestCase.assertEquals;
 
-/**
- * Created by agibsonccc on 12/2/16.
- */
 public class UpdaterStorageTests extends BaseND4JTest {
 
 
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/log4j.properties b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/log4j.properties
index 6cc92e8cd..0b53faa91 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/log4j.properties
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/log4j.properties
@@ -1,18 +1,22 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 
 log4j.rootLogger=ERROR, Console
diff --git a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/logback.xml b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/logback.xml
index ca35ddc13..18c64d888 100644
--- a/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/logback.xml
+++ b/nd4j/nd4j-parameter-server-parent/nd4j-parameter-server/src/test/resources/logback.xml
@@ -1,18 +1,22 @@
-
+
 
 
 
diff --git a/nd4j/nd4j-parameter-server-parent/pom.xml b/nd4j/nd4j-parameter-server-parent/pom.xml
index 3a160d2e3..ca8ff18f5 100644
--- a/nd4j/nd4j-parameter-server-parent/pom.xml
+++ b/nd4j/nd4j-parameter-server-parent/pom.xml
@@ -1,19 +1,23 @@
 
-
+
 
 
         
+            
+                org.nd4j
+                nd4j-aeron
+                ${project.version}
+            
             
                 org.nd4j
                 nd4j-common-tests
@@ -59,6 +68,16 @@
                 nd4j-parameter-server
                 ${project.version}
             
+            
+                org.nd4j
+                nd4j-parameter-server-model
+                ${project.version}
+            
+            
+                com.mashape.unirest
+                unirest-java
+                ${unirest.version}
+            
         
     
 
diff --git a/nd4j/nd4j-remote/nd4j-grpc-client/pom.xml b/nd4j/nd4j-remote/nd4j-grpc-client/pom.xml
deleted file mode 100644
index 6a437341b..000000000
--- a/nd4j/nd4j-remote/nd4j-grpc-client/pom.xml
+++ /dev/null
@@ -1,128 +0,0 @@
-
-
-
-
-
-    
-        nd4j-remote
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-
-    nd4j-grpc-client
-
-    nd4j-grpc
-    
-    http://www.example.com
-
-    
-        UTF-8
-        1.7
-        1.7
-    
-
-    
-        
-            junit
-            junit
-            test
-        
-
-        
-            org.nd4j
-            nd4j-api
-            ${project.version}
-        
-
-        
-            com.google.flatbuffers
-            flatbuffers-java-grpc
-            ${flatbuffers.version}
-        
-
-        
-        
-            javax.annotation
-            javax.annotation-api
-            ${javax.version}
-            provided
-        
-
-        
-            io.grpc
-            grpc-all
-            ${grpc.version}
-        
-
-        
-            ch.qos.logback
-            logback-classic
-            ${logback.version}
-            test
-        
-
-        
-            ch.qos.logback
-            logback-core
-            ${logback.version}
-            test
-        
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-
-    
-
-    
-        
-            nd4j-tests-cpu
-            
-                
-                    org.nd4j
-                    nd4j-native
-                    ${project.version}
-                    test
-                
-            
-        
-
-        
-            nd4j-tests-cuda
-            
-                
-                    org.nd4j
-                    nd4j-cuda-11.0
-                    ${project.version}
-                    test
-                
-            
-        
-
-        
-            testresources
-        
-    
-
diff --git a/nd4j/nd4j-remote/nd4j-grpc-client/src/main/java/org/nd4j/remote/grpc/GraphInferenceGrpcClient.java b/nd4j/nd4j-remote/nd4j-grpc-client/src/main/java/org/nd4j/remote/grpc/GraphInferenceGrpcClient.java
deleted file mode 100644
index eb1a3d416..000000000
--- a/nd4j/nd4j-remote/nd4j-grpc-client/src/main/java/org/nd4j/remote/grpc/GraphInferenceGrpcClient.java
+++ /dev/null
@@ -1,211 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.grpc;
-
-import com.google.flatbuffers.FlatBufferBuilder;
-import io.grpc.ManagedChannel;
-import io.grpc.ManagedChannelBuilder;
-import lombok.NonNull;
-import lombok.extern.slf4j.Slf4j;
-import lombok.val;
-import org.nd4j.autodiff.execution.conf.ExecutorConfiguration;
-import org.nd4j.autodiff.execution.input.OperandsAdapter;
-import org.nd4j.autodiff.execution.input.Operands;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.autodiff.samediff.serde.FlatBuffersMapper;
-import org.nd4j.graph.FlatDropRequest;
-import org.nd4j.graph.FlatInferenceRequest;
-import org.nd4j.graph.FlatVariable;
-import org.nd4j.graph.IntPair;
-import org.nd4j.remote.grpc.grpc.GraphInferenceServerGrpc;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.exception.ND4JIllegalStateException;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.common.primitives.Pair;
-
-import java.util.ArrayList;
-import java.util.concurrent.TimeUnit;
-
-/**
- * This class is a wrapper over GraphServer gRPC complex
- *
- * @author raver119@gmail.com
- */
-@Slf4j
-public class GraphInferenceGrpcClient {
-    private final ManagedChannel channel;
-    private final GraphInferenceServerGrpc.GraphInferenceServerBlockingStub blockingStub;
-
-    /**
-     * This method creates new GraphInferenceGrpcClient, with plain text connection
-     * @param host
-     * @param port
-     */
-    public GraphInferenceGrpcClient(@NonNull String host, int port) {
-        this(host, port, false);
-    }
-
-    /**
-     * This method creates new GraphInferenceGrpcClient, with optional TLS support
-     * @param host
-     * @param port
-     */
-    public GraphInferenceGrpcClient(@NonNull String host, int port, boolean useTLS) {
-        this(useTLS ? ManagedChannelBuilder.forAddress(host, port).build()
-                : ManagedChannelBuilder.forAddress(host, port).usePlaintext().build());
-    }
-
-    /**
-     * This method creates new GraphInferenceGrpcClient over given ManagedChannel
-     * @param channel
-     */
-    public GraphInferenceGrpcClient(@NonNull ManagedChannel channel) {
-        this.channel = channel;
-        this.blockingStub =  GraphInferenceServerGrpc.newBlockingStub(this.channel);
-    }
-
-    /**
-     * This method shuts down gRPC connection
-     *
-     * @throws InterruptedException
-     */
-    public void shutdown() throws InterruptedException {
-            this.channel.shutdown().awaitTermination(10, TimeUnit.SECONDS);
-    }
-
-    /**
-     * This method adds given graph to the GraphServer storage
-     * @param graph
-     */
-    public void registerGraph(@NonNull SameDiff graph) {
-        blockingStub.registerGraph(graph.asFlatGraph(false));
-    }
-
-    /**
-     * This method adds given graph to the GraphServer storage
-     *
-     * PLEASE NOTE: You don't need to register graph more then once
-     * PLEASE NOTE: You don't need to register graph if GraphServer was used with -f argument
-     * @param graphId id of the graph, if not 0 - should be used in subsequent output() requests
-     * @param graph
-     *
-     */
-    public void registerGraph(long graphId, @NonNull SameDiff graph, ExecutorConfiguration configuration) {
-        val g = graph.asFlatGraph(graphId, configuration, false);
-        val v = blockingStub.registerGraph(g);
-        if (v.status() != 0)
-            throw new ND4JIllegalStateException("registerGraph() gRPC call failed");
-    }
-
-    /**
-     * This method sends inference request to the GraphServer instance, and returns result as array of INDArrays
-     *
-     * PLEASE NOTE: This call will be routed to default graph with id 0
-     * @param inputs graph inputs with their string ides
-     * @return
-     */
-    public INDArray[] output(Pair... inputs) {
-        return output(0, inputs);
-    }
-
-    /**
-     * This method is suited for use of custom OperandsAdapters
-     * @param adapter
-     * @param 
-     * @return
-     */
-    public  T output(long graphId, T value, OperandsAdapter adapter) {
-        return adapter.output(this.output(graphId, adapter.input(value)));
-    }
-
-
-    public Operands output(long graphId, @NonNull Operands operands) {
-        val result = new ArrayList();
-        val builder = new FlatBufferBuilder(1024);
-
-        val ins = new int[operands.size()];
-
-        val col = operands.asCollection();
-
-        int cnt = 0;
-        for (val input: col) {
-            val id = input.getFirst();
-            val array = input.getSecond();
-
-            val idPair = IntPair.createIntPair(builder, id.getId(), id.getIndex());
-            val nameOff = id.getName() != null ? builder.createString(id.getName()) : 0;
-
-            val arrOff = array.toFlatArray(builder);
-            byte variableType = 0;  //TODO is this OK here?
-            val varOff = FlatVariable.createFlatVariable(builder, idPair, nameOff, FlatBuffersMapper.getDataTypeAsByte(array.dataType()),0,  arrOff, -1, variableType, 0, 0, 0);
-            ins[cnt++] = varOff;
-        }
-
-        val varsOff = FlatInferenceRequest.createVariablesVector(builder, ins);
-
-        val off = FlatInferenceRequest.createFlatInferenceRequest(builder, graphId, varsOff, 0);
-        builder.finish(off);
-
-        val req = FlatInferenceRequest.getRootAsFlatInferenceRequest(builder.dataBuffer());
-
-        val fr = blockingStub.inferenceRequest(req);
-
-        val res = new Operands();
-
-            for (int e = 0; e < fr.variablesLength(); e++) {
-                val v = fr.variables(e);
-
-                val array = Nd4j.createFromFlatArray(v.ndarray());
-                res.addArgument(v.name(), array);
-                res.addArgument(v.id().first(), v.id().second(), array);
-                res.addArgument(v.name(), v.id().first(), v.id().second(), array);
-            }
-
-        return res;
-    }
-
-    /**
-     * This method sends inference request to the GraphServer instance, and returns result as array of INDArrays
-     * @param graphId id of the graph
-     * @param inputs graph inputs with their string ides
-     * @return
-     */
-    public INDArray[] output(long graphId, Pair... inputs) {
-        val operands = new Operands();
-        for (val in:inputs)
-            operands.addArgument(in.getFirst(), in.getSecond());
-
-        return output(graphId, operands).asArray();
-    }
-
-    /**
-     * This method allows to remove graph from the GraphServer instance
-     * @param graphId
-     */
-    public void dropGraph(long graphId) {
-        val builder = new FlatBufferBuilder(128);
-
-        val off = FlatDropRequest.createFlatDropRequest(builder, graphId);
-        builder.finish(off);
-
-        val req = FlatDropRequest.getRootAsFlatDropRequest(builder.dataBuffer());
-
-        val v = blockingStub.forgetGraph(req);
-        if (v.status() != 0)
-            throw new ND4JIllegalStateException("registerGraph() gRPC call failed");
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-grpc-client/src/main/java/org/nd4j/remote/grpc/grpc/GraphInferenceServerGrpc.java b/nd4j/nd4j-remote/nd4j-grpc-client/src/main/java/org/nd4j/remote/grpc/grpc/GraphInferenceServerGrpc.java
deleted file mode 100644
index 850923f17..000000000
--- a/nd4j/nd4j-remote/nd4j-grpc-client/src/main/java/org/nd4j/remote/grpc/grpc/GraphInferenceServerGrpc.java
+++ /dev/null
@@ -1,543 +0,0 @@
-//Generated by flatc compiler (version 1.10.0)
-//If you make any local changes, they will be lost
-//source: graph.fbs
-
-package org.nd4j.remote.grpc.grpc;
-
-import com.google.flatbuffers.grpc.FlatbuffersUtils;
-
-import java.nio.ByteBuffer;
-import static io.grpc.MethodDescriptor.generateFullMethodName;
-import static io.grpc.stub.ClientCalls.asyncUnaryCall;
-import static io.grpc.stub.ClientCalls.blockingUnaryCall;
-import static io.grpc.stub.ClientCalls.futureUnaryCall;
-import static io.grpc.stub.ServerCalls.asyncUnaryCall;
-import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
-
-/**
- */
-@javax.annotation.Generated(
-    value = "by gRPC proto compiler",
-    comments = "Source: graph.fbs")
-public final class GraphInferenceServerGrpc {
-
-  private GraphInferenceServerGrpc() {}
-  
-  public static final String SERVICE_NAME = "org.nd4j.graph.GraphInferenceServer";
-  
-  // Static method descriptors that strictly reflect the proto.
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  @Deprecated // Use {@link #getRegisterGraphMethod()} instead. 
-  public static final io.grpc.MethodDescriptor METHOD_REGISTER_GRAPH = getRegisterGraphMethod();
-
-  private static volatile io.grpc.MethodDescriptor getRegisterGraphMethod;
-
-  private static volatile FlatbuffersUtils.FBExtactor extractorOfFlatGraph;
-  private static FlatbuffersUtils.FBExtactor getExtractorOfFlatGraph() {
-      if (extractorOfFlatGraph != null) return extractorOfFlatGraph;
-      synchronized (GraphInferenceServerGrpc.class) {
-          if (extractorOfFlatGraph != null) return extractorOfFlatGraph;
-          extractorOfFlatGraph = new FlatbuffersUtils.FBExtactor() {
-              public org.nd4j.graph.FlatGraph extract (ByteBuffer buffer) {
-                  return org.nd4j.graph.FlatGraph.getRootAsFlatGraph(buffer);
-              }
-          };
-          return extractorOfFlatGraph;
-      }
-  }
-
-  private static volatile FlatbuffersUtils.FBExtactor extractorOfFlatResponse;
-  private static FlatbuffersUtils.FBExtactor getExtractorOfFlatResponse() {
-      if (extractorOfFlatResponse != null) return extractorOfFlatResponse;
-      synchronized (GraphInferenceServerGrpc.class) {
-          if (extractorOfFlatResponse != null) return extractorOfFlatResponse;
-          extractorOfFlatResponse = new FlatbuffersUtils.FBExtactor() {
-              public org.nd4j.graph.FlatResponse extract (ByteBuffer buffer) {
-                  return org.nd4j.graph.FlatResponse.getRootAsFlatResponse(buffer);
-              }
-          };
-          return extractorOfFlatResponse;
-      }
-  }
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  public static io.grpc.MethodDescriptor getRegisterGraphMethod() {
-    io.grpc.MethodDescriptor getRegisterGraphMethod;
-    if ((getRegisterGraphMethod = GraphInferenceServerGrpc.getRegisterGraphMethod) == null) {
-      synchronized (GraphInferenceServerGrpc.class) {
-        if ((getRegisterGraphMethod = GraphInferenceServerGrpc.getRegisterGraphMethod) == null) {
-          GraphInferenceServerGrpc.getRegisterGraphMethod = getRegisterGraphMethod =
-              io.grpc.MethodDescriptor.newBuilder()
-              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
-              .setFullMethodName(generateFullMethodName(
-                  "org.nd4j.graph.GraphInferenceServer", "RegisterGraph"))
-              .setSampledToLocalTracing(true)
-              .setRequestMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatGraph.class, getExtractorOfFlatGraph()))
-              .setResponseMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatResponse.class, getExtractorOfFlatResponse()))
-                  .setSchemaDescriptor(null)
-                  .build();
-          }
-        }
-     }
-     return getRegisterGraphMethod;
-  }
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  @Deprecated // Use {@link #getForgetGraphMethod()} instead.
-  public static final io.grpc.MethodDescriptor METHOD_FORGET_GRAPH = getForgetGraphMethod();
-
-  private static volatile io.grpc.MethodDescriptor getForgetGraphMethod;
-
-  private static volatile FlatbuffersUtils.FBExtactor extractorOfFlatDropRequest;
-  private static FlatbuffersUtils.FBExtactor getExtractorOfFlatDropRequest() {
-      if (extractorOfFlatDropRequest != null) return extractorOfFlatDropRequest;
-      synchronized (GraphInferenceServerGrpc.class) {
-          if (extractorOfFlatDropRequest != null) return extractorOfFlatDropRequest;
-          extractorOfFlatDropRequest = new FlatbuffersUtils.FBExtactor() {
-              public org.nd4j.graph.FlatDropRequest extract (ByteBuffer buffer) {
-                  return org.nd4j.graph.FlatDropRequest.getRootAsFlatDropRequest(buffer);
-              }
-          };
-          return extractorOfFlatDropRequest;
-      }
-  }
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  public static io.grpc.MethodDescriptor getForgetGraphMethod() {
-    io.grpc.MethodDescriptor getForgetGraphMethod;
-    if ((getForgetGraphMethod = GraphInferenceServerGrpc.getForgetGraphMethod) == null) {
-      synchronized (GraphInferenceServerGrpc.class) {
-        if ((getForgetGraphMethod = GraphInferenceServerGrpc.getForgetGraphMethod) == null) {
-          GraphInferenceServerGrpc.getForgetGraphMethod = getForgetGraphMethod =
-              io.grpc.MethodDescriptor.newBuilder()
-              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
-              .setFullMethodName(generateFullMethodName(
-                  "org.nd4j.graph.GraphInferenceServer", "ForgetGraph"))
-              .setSampledToLocalTracing(true)
-              .setRequestMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatDropRequest.class, getExtractorOfFlatDropRequest()))
-              .setResponseMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatResponse.class, getExtractorOfFlatResponse()))
-                  .setSchemaDescriptor(null)
-                  .build();
-          }
-        }
-     }
-     return getForgetGraphMethod;
-  }
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  @Deprecated // Use {@link #getReplaceGraphMethod()} instead.
-  public static final io.grpc.MethodDescriptor METHOD_REPLACE_GRAPH = getReplaceGraphMethod();
-
-  private static volatile io.grpc.MethodDescriptor getReplaceGraphMethod;
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  public static io.grpc.MethodDescriptor getReplaceGraphMethod() {
-    io.grpc.MethodDescriptor getReplaceGraphMethod;
-    if ((getReplaceGraphMethod = GraphInferenceServerGrpc.getReplaceGraphMethod) == null) {
-      synchronized (GraphInferenceServerGrpc.class) {
-        if ((getReplaceGraphMethod = GraphInferenceServerGrpc.getReplaceGraphMethod) == null) {
-          GraphInferenceServerGrpc.getReplaceGraphMethod = getReplaceGraphMethod =
-              io.grpc.MethodDescriptor.newBuilder()
-              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
-              .setFullMethodName(generateFullMethodName(
-                  "org.nd4j.graph.GraphInferenceServer", "ReplaceGraph"))
-              .setSampledToLocalTracing(true)
-              .setRequestMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatGraph.class, getExtractorOfFlatGraph()))
-              .setResponseMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatResponse.class, getExtractorOfFlatResponse()))
-                  .setSchemaDescriptor(null)
-                  .build();
-          }
-        }
-     }
-     return getReplaceGraphMethod;
-  }
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  @Deprecated // Use {@link #getInferenceRequestMethod()} instead.
-  public static final io.grpc.MethodDescriptor METHOD_INFERENCE_REQUEST = getInferenceRequestMethod();
-
-  private static volatile io.grpc.MethodDescriptor getInferenceRequestMethod;
-
-  private static volatile FlatbuffersUtils.FBExtactor extractorOfFlatInferenceRequest;
-  private static FlatbuffersUtils.FBExtactor getExtractorOfFlatInferenceRequest() {
-      if (extractorOfFlatInferenceRequest != null) return extractorOfFlatInferenceRequest;
-      synchronized (GraphInferenceServerGrpc.class) {
-          if (extractorOfFlatInferenceRequest != null) return extractorOfFlatInferenceRequest;
-          extractorOfFlatInferenceRequest = new FlatbuffersUtils.FBExtactor() {
-              public org.nd4j.graph.FlatInferenceRequest extract (ByteBuffer buffer) {
-                  return org.nd4j.graph.FlatInferenceRequest.getRootAsFlatInferenceRequest(buffer);
-              }
-          };
-          return extractorOfFlatInferenceRequest;
-      }
-  }
-
-  private static volatile FlatbuffersUtils.FBExtactor extractorOfFlatResult;
-  private static FlatbuffersUtils.FBExtactor getExtractorOfFlatResult() {
-      if (extractorOfFlatResult != null) return extractorOfFlatResult;
-      synchronized (GraphInferenceServerGrpc.class) {
-          if (extractorOfFlatResult != null) return extractorOfFlatResult;
-          extractorOfFlatResult = new FlatbuffersUtils.FBExtactor() {
-              public org.nd4j.graph.FlatResult extract (ByteBuffer buffer) {
-                  return org.nd4j.graph.FlatResult.getRootAsFlatResult(buffer);
-              }
-          };
-          return extractorOfFlatResult;
-      }
-  }
-
-  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
-  public static io.grpc.MethodDescriptor getInferenceRequestMethod() {
-    io.grpc.MethodDescriptor getInferenceRequestMethod;
-    if ((getInferenceRequestMethod = GraphInferenceServerGrpc.getInferenceRequestMethod) == null) {
-      synchronized (GraphInferenceServerGrpc.class) {
-        if ((getInferenceRequestMethod = GraphInferenceServerGrpc.getInferenceRequestMethod) == null) {
-          GraphInferenceServerGrpc.getInferenceRequestMethod = getInferenceRequestMethod =
-              io.grpc.MethodDescriptor.newBuilder()
-              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
-              .setFullMethodName(generateFullMethodName(
-                  "org.nd4j.graph.GraphInferenceServer", "InferenceRequest"))
-              .setSampledToLocalTracing(true)
-              .setRequestMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatInferenceRequest.class, getExtractorOfFlatInferenceRequest()))
-              .setResponseMarshaller(FlatbuffersUtils.marshaller(
-                  org.nd4j.graph.FlatResult.class, getExtractorOfFlatResult()))
-                  .setSchemaDescriptor(null)
-                  .build();
-          }
-        }
-     }
-     return getInferenceRequestMethod;
-  }
-
-  /**
-   * Creates a new async stub that supports all call types for the service
-   */
-  public static GraphInferenceServerStub newStub(io.grpc.Channel channel) {
-    return new GraphInferenceServerStub(channel);
-  }
-
-  /**
-   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
-   */
-  public static GraphInferenceServerBlockingStub newBlockingStub(
-      io.grpc.Channel channel) {
-    return new GraphInferenceServerBlockingStub(channel);
-  }
-
-  /**
-   * Creates a new ListenableFuture-style stub that supports unary calls on the service
-   */
-  public static GraphInferenceServerFutureStub newFutureStub(
-      io.grpc.Channel channel) {
-    return new GraphInferenceServerFutureStub(channel);
-  }
-
-  /**
-   */
-  public static abstract class GraphInferenceServerImplBase implements io.grpc.BindableService {
-
-    /**
-     */
-    public     void registerGraph(org.nd4j.graph.FlatGraph request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnimplementedUnaryCall(getRegisterGraphMethod(), responseObserver);
-    }
-
-    /**
-     */
-    public     void forgetGraph(org.nd4j.graph.FlatDropRequest request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnimplementedUnaryCall(getForgetGraphMethod(), responseObserver);
-    }
-
-    /**
-     */
-    public     void replaceGraph(org.nd4j.graph.FlatGraph request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnimplementedUnaryCall(getReplaceGraphMethod(), responseObserver);
-    }
-
-    /**
-     */
-    public     void inferenceRequest(org.nd4j.graph.FlatInferenceRequest request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnimplementedUnaryCall(getInferenceRequestMethod(), responseObserver);
-    }
-
-    @Override public final io.grpc.ServerServiceDefinition bindService() {
-      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
-          .addMethod(
-            getRegisterGraphMethod(),
-            asyncUnaryCall(
-              new MethodHandlers<
-                org.nd4j.graph.FlatGraph,
-                org.nd4j.graph.FlatResponse>(
-                  this, METHODID_REGISTER_GRAPH)))
-          .addMethod(
-            getForgetGraphMethod(),
-            asyncUnaryCall(
-              new MethodHandlers<
-                org.nd4j.graph.FlatDropRequest,
-                org.nd4j.graph.FlatResponse>(
-                  this, METHODID_FORGET_GRAPH)))
-          .addMethod(
-            getReplaceGraphMethod(),
-            asyncUnaryCall(
-              new MethodHandlers<
-                org.nd4j.graph.FlatGraph,
-                org.nd4j.graph.FlatResponse>(
-                  this, METHODID_REPLACE_GRAPH)))
-          .addMethod(
-            getInferenceRequestMethod(),
-            asyncUnaryCall(
-              new MethodHandlers<
-                org.nd4j.graph.FlatInferenceRequest,
-                org.nd4j.graph.FlatResult>(
-                  this, METHODID_INFERENCE_REQUEST)))
-          .build();
-    }
-  }
-
-  /**
-   */
-  public static final class GraphInferenceServerStub extends io.grpc.stub.AbstractStub {
-    private GraphInferenceServerStub(io.grpc.Channel channel) {
-      super(channel);
-    }
-
-    private GraphInferenceServerStub(io.grpc.Channel channel,
-        io.grpc.CallOptions callOptions) {
-      super(channel, callOptions);
-    }
-
-    @Override
-    protected GraphInferenceServerStub build(io.grpc.Channel channel,
-        io.grpc.CallOptions callOptions) {
-      return new GraphInferenceServerStub(channel, callOptions);
-    }
-
-    /**
-     */
-    public     void registerGraph(org.nd4j.graph.FlatGraph request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnaryCall(
-          getChannel().newCall(getRegisterGraphMethod(), getCallOptions()), request, responseObserver);
-    }
-
-    /**
-     */
-    public     void forgetGraph(org.nd4j.graph.FlatDropRequest request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnaryCall(
-          getChannel().newCall(getForgetGraphMethod(), getCallOptions()), request, responseObserver);
-    }
-
-    /**
-     */
-    public     void replaceGraph(org.nd4j.graph.FlatGraph request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnaryCall(
-          getChannel().newCall(getReplaceGraphMethod(), getCallOptions()), request, responseObserver);
-    }
-
-    /**
-     */
-    public     void inferenceRequest(org.nd4j.graph.FlatInferenceRequest request,
-        io.grpc.stub.StreamObserver responseObserver)     {
-      asyncUnaryCall(
-          getChannel().newCall(getInferenceRequestMethod(), getCallOptions()), request, responseObserver);
-    }
-  }
-
-  /**
-   */
-  public static final class GraphInferenceServerBlockingStub extends io.grpc.stub.AbstractStub {
-    private GraphInferenceServerBlockingStub(io.grpc.Channel channel) {
-      super(channel);
-    }
-
-    private GraphInferenceServerBlockingStub(io.grpc.Channel channel,
-        io.grpc.CallOptions callOptions) {
-      super(channel, callOptions);
-    }
-
-    @Override
-    protected GraphInferenceServerBlockingStub build(io.grpc.Channel channel,
-        io.grpc.CallOptions callOptions) {
-      return new GraphInferenceServerBlockingStub(channel, callOptions);
-    }
-
-    /**
-     */
-    public     org.nd4j.graph.FlatResponse registerGraph(org.nd4j.graph.FlatGraph request)     {
-      return blockingUnaryCall(
-          getChannel(), getRegisterGraphMethod(), getCallOptions(), request);
-    }
-
-    /**
-     */
-    public     org.nd4j.graph.FlatResponse forgetGraph(org.nd4j.graph.FlatDropRequest request)     {
-      return blockingUnaryCall(
-          getChannel(), getForgetGraphMethod(), getCallOptions(), request);
-    }
-
-    /**
-     */
-    public     org.nd4j.graph.FlatResponse replaceGraph(org.nd4j.graph.FlatGraph request)     {
-      return blockingUnaryCall(
-          getChannel(), getReplaceGraphMethod(), getCallOptions(), request);
-    }
-
-    /**
-     */
-    public     org.nd4j.graph.FlatResult inferenceRequest(org.nd4j.graph.FlatInferenceRequest request)     {
-      return blockingUnaryCall(
-          getChannel(), getInferenceRequestMethod(), getCallOptions(), request);
-    }
-  }
-
-  /**
-   */
-  public static final class GraphInferenceServerFutureStub extends io.grpc.stub.AbstractStub {
-    private GraphInferenceServerFutureStub(io.grpc.Channel channel) {
-      super(channel);
-    }
-
-    private GraphInferenceServerFutureStub(io.grpc.Channel channel,
-        io.grpc.CallOptions callOptions) {
-      super(channel, callOptions);
-    }
-
-    @Override
-    protected GraphInferenceServerFutureStub build(io.grpc.Channel channel,
-        io.grpc.CallOptions callOptions) {
-      return new GraphInferenceServerFutureStub(channel, callOptions);
-    }
-
-    /**
-     */
-    public     com.google.common.util.concurrent.ListenableFuture registerGraph(
-        org.nd4j.graph.FlatGraph request)     {
-      return futureUnaryCall(
-          getChannel().newCall(getRegisterGraphMethod(), getCallOptions()), request);
-    }
-
-    /**
-     */
-    public     com.google.common.util.concurrent.ListenableFuture forgetGraph(
-        org.nd4j.graph.FlatDropRequest request)     {
-      return futureUnaryCall(
-          getChannel().newCall(getForgetGraphMethod(), getCallOptions()), request);
-    }
-
-    /**
-     */
-    public     com.google.common.util.concurrent.ListenableFuture replaceGraph(
-        org.nd4j.graph.FlatGraph request)     {
-      return futureUnaryCall(
-          getChannel().newCall(getReplaceGraphMethod(), getCallOptions()), request);
-    }
-
-    /**
-     */
-    public     com.google.common.util.concurrent.ListenableFuture inferenceRequest(
-        org.nd4j.graph.FlatInferenceRequest request)     {
-      return futureUnaryCall(
-          getChannel().newCall(getInferenceRequestMethod(), getCallOptions()), request);
-    }
-  }
-
-  private static final int METHODID_REGISTER_GRAPH = 0;
-  private static final int METHODID_FORGET_GRAPH = 1;
-  private static final int METHODID_REPLACE_GRAPH = 2;
-  private static final int METHODID_INFERENCE_REQUEST = 3;
-
-  private static final class MethodHandlers implements
-      io.grpc.stub.ServerCalls.UnaryMethod,
-      io.grpc.stub.ServerCalls.ServerStreamingMethod,
-      io.grpc.stub.ServerCalls.ClientStreamingMethod,
-      io.grpc.stub.ServerCalls.BidiStreamingMethod {
-    private final GraphInferenceServerImplBase serviceImpl;
-    private final int methodId;
-
-    MethodHandlers(GraphInferenceServerImplBase serviceImpl, int methodId) {
-      this.serviceImpl = serviceImpl;
-      this.methodId = methodId;
-    }
-
-    @Override
-    @SuppressWarnings("unchecked")
-    public void invoke(Req request, io.grpc.stub.StreamObserver responseObserver) {
-      switch (methodId) {
-        case METHODID_REGISTER_GRAPH:
-          serviceImpl.registerGraph((org.nd4j.graph.FlatGraph) request,
-              (io.grpc.stub.StreamObserver) responseObserver);
-          break;
-        case METHODID_FORGET_GRAPH:
-          serviceImpl.forgetGraph((org.nd4j.graph.FlatDropRequest) request,
-              (io.grpc.stub.StreamObserver) responseObserver);
-          break;
-        case METHODID_REPLACE_GRAPH:
-          serviceImpl.replaceGraph((org.nd4j.graph.FlatGraph) request,
-              (io.grpc.stub.StreamObserver) responseObserver);
-          break;
-        case METHODID_INFERENCE_REQUEST:
-          serviceImpl.inferenceRequest((org.nd4j.graph.FlatInferenceRequest) request,
-              (io.grpc.stub.StreamObserver) responseObserver);
-          break;
-        default:
-          throw new AssertionError();
-      }
-    }
-    
-    @Override
-    @SuppressWarnings("unchecked")
-    public io.grpc.stub.StreamObserver invoke(
-        io.grpc.stub.StreamObserver responseObserver) {
-      switch (methodId) {
-        default:
-          throw new AssertionError();
-      }
-    }
-  }
-  
-  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
-  
-  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
-    io.grpc.ServiceDescriptor result = serviceDescriptor;
-    if (result == null) {
-      synchronized (GraphInferenceServerGrpc.class) {
-        result = serviceDescriptor;
-        if (result == null) {
-          serviceDescriptor = result = io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)              
-              .setSchemaDescriptor(null)              
-              .addMethod(getRegisterGraphMethod())              
-              .addMethod(getForgetGraphMethod())              
-              .addMethod(getReplaceGraphMethod())              
-              .addMethod(getInferenceRequestMethod())              
-              .build();
-        }
-      }
-    }
-    return result;
-  }
-}
diff --git a/nd4j/nd4j-remote/nd4j-grpc-client/src/test/java/org/nd4j/graph/GraphInferenceGrpcClientTest.java b/nd4j/nd4j-remote/nd4j-grpc-client/src/test/java/org/nd4j/graph/GraphInferenceGrpcClientTest.java
deleted file mode 100644
index 1bbefd384..000000000
--- a/nd4j/nd4j-remote/nd4j-grpc-client/src/test/java/org/nd4j/graph/GraphInferenceGrpcClientTest.java
+++ /dev/null
@@ -1,83 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.graph;
-
-import lombok.extern.slf4j.Slf4j;
-import lombok.val;
-import org.apache.commons.lang3.RandomUtils;
-import org.junit.Ignore;
-import org.junit.Test;
-import org.nd4j.common.tests.BaseND4JTest;
-import org.nd4j.autodiff.execution.conf.ExecutorConfiguration;
-import org.nd4j.autodiff.execution.conf.OutputMode;
-import org.nd4j.autodiff.execution.input.Operands;
-import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.common.io.ClassPathResource;
-import org.nd4j.remote.grpc.GraphInferenceGrpcClient;
-
-import static org.junit.Assert.*;
-
-@Slf4j
-@Ignore
-public class GraphInferenceGrpcClientTest extends BaseND4JTest {
-    @Test
-    public void testSimpleGraph_1() throws Exception {
-        val exp = Nd4j.create(new double[] {-0.95938617, -1.20301781, 1.22260064, 0.50172403, 0.59972949, 0.78568028, 0.31609724, 1.51674747, 0.68013491, -0.05227458, 0.25903158,1.13243439}, new long[]{3, 1, 4});
-
-        // configuring client
-        val client = new GraphInferenceGrpcClient("127.0.0.1", 40123);
-
-        val graphId = RandomUtils.nextLong(0, Long.MAX_VALUE);
-
-        // preparing and registering graph (it's optional, and graph might be embedded into Docker image
-        val tg = TFGraphMapper.importGraph(new ClassPathResource("tf_graphs/examples/expand_dim/frozen_model.pb").getInputStream());
-        assertNotNull(tg);
-        client.registerGraph(graphId, tg, ExecutorConfiguration.builder().outputMode(OutputMode.IMPLICIT).build());
-
-        //defining input
-        val input0 = Nd4j.create(new double[] {0.09753360, 0.76124972, 0.24693797, 0.13813169, 0.33144656, 0.08299957, 0.67197708, 0.80659380, 0.98274191, 0.63566073, 0.21592326, 0.54902743}, new int[] {3, 4});
-        val operands = new Operands().addArgument("input_0", input0);
-
-        // sending request and getting result
-        val result = client.output(graphId, operands);
-        assertEquals(exp, result.getById("output"));
-    }
-
-    @Test
-    public void testSimpleGraph_2() throws Exception {
-        val exp = Nd4j.create(new double[] {-0.95938617, -1.20301781, 1.22260064, 0.50172403, 0.59972949, 0.78568028, 0.31609724, 1.51674747, 0.68013491, -0.05227458, 0.25903158,1.13243439}, new long[]{3, 1, 4});
-
-        // configuring client
-        val client = new GraphInferenceGrpcClient("127.0.0.1", 40123);
-
-        val graphId = RandomUtils.nextLong(0, Long.MAX_VALUE);
-
-        // preparing and registering graph (it's optional, and graph might be embedded into Docker image
-        val tg = TFGraphMapper.importGraph(new ClassPathResource("tf_graphs/examples/expand_dim/frozen_model.pb").getInputStream());
-        assertNotNull(tg);
-        client.registerGraph(graphId, tg, ExecutorConfiguration.builder().outputMode(OutputMode.IMPLICIT).build());
-
-        //defining input
-        val input0 = Nd4j.create(new double[] {0.09753360, 0.76124972, 0.24693797, 0.13813169, 0.33144656, 0.08299957, 0.67197708, 0.80659380, 0.98274191, 0.63566073, 0.21592326, 0.54902743}, new int[] {3, 4});
-        val operands = new Operands().addArgument(1, 0, input0);
-
-        // sending request and getting result
-        val result = client.output(graphId, operands);
-        assertEquals(exp, result.getById("output"));
-    }
-}
\ No newline at end of file
diff --git a/nd4j/nd4j-remote/nd4j-json-client/pom.xml b/nd4j/nd4j-remote/nd4j-json-client/pom.xml
deleted file mode 100644
index 9e8b42dab..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/pom.xml
+++ /dev/null
@@ -1,115 +0,0 @@
-
-
-
-  4.0.0
-  jar
-
-  
-    org.nd4j
-    nd4j-remote
-    1.0.0-SNAPSHOT
-  
-
-  nd4j-json-client
-
-  nd4j-json-client
-
-  
-    UTF-8
-    1.7
-    1.7
-  
-
-  
-    
-      junit
-      junit
-      test
-    
-
-    
-      com.mashape.unirest
-      unirest-java
-      ${unirest.version}
-    
-
-    
-      org.slf4j
-      slf4j-api
-    
-
-    
-      org.nd4j
-      jackson
-      ${project.version}
-    
-  
-
-  
-    
-      testresources
-    
-
-    
-      nd4j-testresources
-    
-
-    
-      nd4j-tests-cpu
-      
-        false
-      
-      
-        
-          org.nd4j
-          nd4j-native
-          ${project.version}
-        
-      
-
-      
-        
-          
-            org.apache.maven.plugins
-            maven-surefire-plugin
-            
-              src/test/java
-              
-                *.java
-                **/*.java
-              
-              -Ddtype=float -Xmx8g
-            
-          
-        
-      
-    
-
-    
-    
-      nd4j-tests-cuda
-      
-        false
-      
-      
-        
-          org.nd4j
-          nd4j-cuda-11.0
-          ${project.version}
-        
-      
-      
-        
-          
-            org.apache.maven.plugins
-            maven-surefire-plugin
-            
-              true
-            
-          
-        
-      
-    
-  
-
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/JsonRemoteInference.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/JsonRemoteInference.java
deleted file mode 100644
index f7302b9da..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/JsonRemoteInference.java
+++ /dev/null
@@ -1,217 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients;
-
-import com.mashape.unirest.http.HttpResponse;
-import com.mashape.unirest.http.Unirest;
-import com.mashape.unirest.http.exceptions.UnirestException;
-import lombok.Builder;
-import lombok.NonNull;
-import lombok.extern.slf4j.Slf4j;
-import lombok.val;
-import org.json.JSONObject;
-import org.nd4j.remote.clients.serde.*;
-
-import java.io.IOException;
-import java.io.InputStream;
-import java.util.List;
-import java.util.concurrent.ExecutionException;
-import java.util.concurrent.Future;
-import java.util.concurrent.TimeUnit;
-import java.util.concurrent.TimeoutException;
-
-/**
- * This class provides remote inference functionality via JSON-powered REST APIs.
- *
- * Basically we assume that there's remote JSON server available (on bare metal or in k8s/swarm/whatever cluster), and with proper serializers/deserializers provided we can issue REST requests and get back responses.
- * So, in this way application logic can be separated from DL logic.
- *
- * You just need to provide serializer/deserializer and address of the REST server, i.e. "http://model:8080/v1/serving"
- *
- * @param  type of the input class, i.e. String
- * @param  type of the output class, i.e. Sentiment
- *
- * @author raver119@gmail.com
- */
-@Slf4j
-public class JsonRemoteInference {
-    private String endpointAddress;
-    // JSON serializer/deserializer and binary serializer/deserializer are mutually exclusive.
-    private JsonSerializer serializer;
-    private JsonDeserializer deserializer;
-    private BinarySerializer binarySerializer;
-    private BinaryDeserializer binaryDeserializer;
-
-    private final static String APPLICATION_JSON = "application/json";
-    private final static String APPLICATION_OCTET_STREAM = "application/octet-stream";
-
-    @Builder
-    public JsonRemoteInference(@NonNull String endpointAddress,
-                               JsonSerializer inputSerializer, JsonDeserializer outputDeserializer,
-                               BinarySerializer inputBinarySerializer, BinaryDeserializer outputBinaryDeserializer) {
-
-        this.endpointAddress = endpointAddress;
-        this.serializer = inputSerializer;
-        this.deserializer = outputDeserializer;
-        this.binarySerializer = inputBinarySerializer;
-        this.binaryDeserializer = outputBinaryDeserializer;
-
-        if (serializer != null && binarySerializer != null || serializer == null && binarySerializer == null)
-            throw new IllegalStateException("Binary and JSON serializers/deserializers are mutually exclusive and mandatory.");
-    }
-
-
-    private O processResponse(HttpResponse response) throws IOException {
-        if (response.getStatus() != 200)
-            throw new IOException("Inference request returned bad error code: " + response.getStatus());
-
-        O result = deserializer.deserialize(response.getBody());
-
-        if (result == null) {
-            throw new IOException("Deserialization failed!");
-        }
-        return result;
-    }
-
-    private O processResponseBinary(HttpResponse response) throws IOException {
-        if (response.getStatus() != 200)
-            throw new IOException("Inference request returned bad error code: " + response.getStatus());
-
-        List values = response.getHeaders().get("Content-Length");
-        if (values == null || values.size() < 1) {
-            throw new IOException("Content-Length is required for binary data");
-        }
-
-        String strLength = values.get(0);
-        byte[] bytes = new byte[Integer.parseInt(strLength)];
-        response.getBody().read(bytes);
-        O result = binaryDeserializer.deserialize(bytes);
-
-        if (result == null) {
-            throw new IOException("Deserialization failed!");
-        }
-        return result;
-    }
-
-    /**
-     * This method does remote inference in a blocking way
-     *
-     * @param input
-     * @return
-     * @throws IOException
-     */
-    public O predict(I input) throws IOException {
-        try {
-            if (binarySerializer != null && binaryDeserializer != null) {
-                HttpResponse response =
-                        Unirest.post(endpointAddress)
-                                .header("Content-Type", APPLICATION_OCTET_STREAM)
-                                .header("Accept", APPLICATION_OCTET_STREAM)
-                                .body(binarySerializer.serialize(input)).asBinary();
-                return processResponseBinary(response);
-            }
-            else if (binarySerializer != null && binaryDeserializer == null) {
-                HttpResponse response =
-                        Unirest.post(endpointAddress)
-                                .header("Content-Type", APPLICATION_OCTET_STREAM)
-                                .header("Accept", APPLICATION_OCTET_STREAM)
-                                .body(binarySerializer.serialize(input)).asString();
-                return processResponse(response);
-            }
-            else {
-                HttpResponse response = Unirest.post(endpointAddress)
-                                .header("Content-Type", APPLICATION_JSON)
-                                .header("Accept", APPLICATION_JSON)
-                                .body(new JSONObject(serializer.serialize(input))).asString();
-                return processResponse(response);
-            }
-
-        } catch (UnirestException e) {
-            throw new IOException(e);
-        }
-    }
-
-    /**
-     * This method does remote inference in asynchronous way, returning Future instead
-     * @param input
-     * @return
-     */
-    public Future predictAsync(I input) {
-
-        Future> response = binarySerializer != null ?
-                Unirest.post(endpointAddress)
-                .header("Content-Type", "application/octet-stream")
-                .header("Accept", "application/octet-stream")
-                .body(binarySerializer.serialize(input)).asStringAsync() :
-
-                Unirest.post(endpointAddress)
-                .header("Content-Type", "application/json")
-                .header("Accept", "application/json")
-                .body(new JSONObject(serializer.serialize(input))).asStringAsync();
-
-        return new InferenceFuture(response);
-    }
-
-    /**
-     * This class holds a Future of the object returned by remote inference server
-     */
-    private class InferenceFuture implements Future {
-        private Future> unirestFuture;
-
-        private InferenceFuture(@NonNull Future> future) {
-            this.unirestFuture = future;
-        }
-
-        @Override
-        public boolean cancel(boolean mayInterruptIfRunning) {
-            return unirestFuture.cancel(mayInterruptIfRunning);
-        }
-
-        @Override
-        public boolean isCancelled() {
-            return unirestFuture.isCancelled();
-        }
-
-        @Override
-        public boolean isDone() {
-            return unirestFuture.isDone();
-        }
-
-        @Override
-        public O get() throws InterruptedException, ExecutionException {
-            val stringResult = unirestFuture.get();
-
-            try {
-                return processResponse(stringResult);
-            } catch (IOException e) {
-                throw new ExecutionException(e);
-            }
-        }
-
-        @Override
-        public O get(long timeout, TimeUnit unit) throws InterruptedException, ExecutionException, TimeoutException {
-            val stringResult = unirestFuture.get(timeout, unit);
-
-            try {
-                return processResponse(stringResult);
-            } catch (IOException e) {
-                throw new ExecutionException(e);
-            }
-        }
-    }
-}
-
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/BinaryDeserializer.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/BinaryDeserializer.java
deleted file mode 100644
index 43e6bc0d5..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/BinaryDeserializer.java
+++ /dev/null
@@ -1,32 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4j.remote.clients.serde;
-
-/**
- * This interface describes basic binary deserializer interface used for remote inference
- * @param  type of the deserializable class
- *
- * @author Alexander Stoyakin
- */
-public interface BinaryDeserializer {
-
-        /**
-         * This method deserializes binary data to arbitrary object.
-         * @param byte buffer
-         * @return deserialized object
-         */
-        T deserialize(byte[] buffer);
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/BinarySerializer.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/BinarySerializer.java
deleted file mode 100644
index 95dd0c439..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/BinarySerializer.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde;
-
-/**
- * This interface describes basic binary serializer interface used for remote inference
- * @param  type of the serializable class
- *
- * @author Alexander Stoyakin
- */
-public interface BinarySerializer {
-
-    /**
-     * This method serializes given object into byte buffer
-     *
-     * @param o object to be serialized
-     * @return
-     */
-    byte[] serialize(T o);
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/JsonDeserializer.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/JsonDeserializer.java
deleted file mode 100644
index 77f8939b2..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/JsonDeserializer.java
+++ /dev/null
@@ -1,33 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde;
-
-/**
- * This interface describes basic JSON deserializer interface used for JsonRemoteInference
- * @param  type of the deserializable class
- *
- * @author raver119@gmail.com
- */
-public interface JsonDeserializer {
-
-    /**
-     * This method serializes given object into JSON-string
-     * @param json string containing JSON representation of the object
-     * @return
-     */
-    T deserialize(String json);
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/JsonSerializer.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/JsonSerializer.java
deleted file mode 100644
index 4258b98cc..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/JsonSerializer.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde;
-
-/**
- * This interface describes basic JSON serializer interface used for JsonRemoteInference
- * @param  type of the serializable class
- *
- * @author raver119@gmail.com
- */
-public interface JsonSerializer {
-
-    /**
-     * This method serializes given object into JSON-string
-     *
-     * @param o object to be serialized
-     * @return
-     */
-    String serialize(T o);
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/AbstractSerDe.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/AbstractSerDe.java
deleted file mode 100644
index fa02496bf..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/AbstractSerDe.java
+++ /dev/null
@@ -1,46 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.NonNull;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-import org.nd4j.shade.jackson.core.JsonProcessingException;
-import org.nd4j.shade.jackson.databind.ObjectMapper;
-
-import java.io.IOException;
-
-public abstract class AbstractSerDe implements JsonDeserializer, JsonSerializer {
-    protected ObjectMapper objectMapper = new ObjectMapper();
-
-
-    protected String serializeClass(@NonNull T obj) {
-        try {
-            return objectMapper.writeValueAsString(obj);
-        } catch (JsonProcessingException e) {
-            throw new RuntimeException(e);
-        }
-    }
-
-    protected T deserializeClass(@NonNull String json, @NonNull Class cls) {
-        try {
-            return objectMapper.readValue(json, cls);
-        } catch (IOException e) {
-            throw new RuntimeException(e);
-        }
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/BooleanSerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/BooleanSerde.java
deleted file mode 100644
index db92a4346..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/BooleanSerde.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.NonNull;
-
-/**
- * This class provides JSON ser/de for Java Boolean. Single value only.
- */
-public class BooleanSerde extends AbstractSerDe {
-    @Override
-    public Boolean deserialize(@NonNull String json) {
-        return deserializeClass(json, Boolean.class);
-    }
-
-    @Override
-    public String serialize(@NonNull Boolean o) {
-        return serializeClass(o);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/DoubleArraySerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/DoubleArraySerde.java
deleted file mode 100644
index 3ada3fc08..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/DoubleArraySerde.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.*;
-/**
- * This class provides JSON ser/de for Java double[]
- */
-public class DoubleArraySerde extends AbstractSerDe {
-
-    @Override
-    public String serialize(@NonNull double[] data) {
-        return serializeClass(data);
-    }
-
-    @Override
-    public double[] deserialize(@NonNull String json) {
-        return deserializeClass(json, double[].class);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/DoubleSerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/DoubleSerde.java
deleted file mode 100644
index d12a1dc66..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/DoubleSerde.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.NonNull;
-
-/**
- * This class provides JSON ser/de for Java Double. Single value only.
- */
-public class DoubleSerde extends AbstractSerDe {
-    @Override
-    public Double deserialize(@NonNull String json) {
-        return deserializeClass(json, Double.class);
-    }
-
-    @Override
-    public String serialize(@NonNull Double o) {
-        return serializeClass(o);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/FloatArraySerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/FloatArraySerde.java
deleted file mode 100644
index 819c41c3a..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/FloatArraySerde.java
+++ /dev/null
@@ -1,38 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4j.remote.clients.serde.impl;
-
-
-import lombok.*;
-import org.nd4j.shade.jackson.core.JsonProcessingException;
-import org.nd4j.shade.jackson.databind.ObjectMapper;
-
-
-/**
- * This class provides JSON ser/de for Java float[]
- */
-public class FloatArraySerde extends AbstractSerDe {
-
-    @Override
-    public String serialize(@NonNull float[] data) {
-        return serializeClass(data);
-    }
-
-    @Override
-    public float[] deserialize(@NonNull String json) {
-        return deserializeClass(json, float[].class);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/FloatSerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/FloatSerde.java
deleted file mode 100644
index 14b822ba7..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/FloatSerde.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.NonNull;
-
-/**
- * This class provides JSON ser/de for Java Float. Single value only.
- */
-public class FloatSerde extends AbstractSerDe {
-    @Override
-    public Float deserialize(@NonNull String json) {
-        return deserializeClass(json, Float.class);
-    }
-
-    @Override
-    public String serialize(@NonNull Float o) {
-        return serializeClass(o);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/IntegerSerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/IntegerSerde.java
deleted file mode 100644
index 0d8b40272..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/IntegerSerde.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.NonNull;
-
-/**
- * This class provides JSON ser/de for Java Integer. Single value only.
- */
-public class IntegerSerde extends AbstractSerDe {
-    @Override
-    public Integer deserialize(@NonNull String json) {
-        return deserializeClass(json, Integer.class);
-    }
-
-    @Override
-    public String serialize(@NonNull Integer o) {
-        return serializeClass(o);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/StringSerde.java b/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/StringSerde.java
deleted file mode 100644
index d87975111..000000000
--- a/nd4j/nd4j-remote/nd4j-json-client/src/main/java/org/nd4j/remote/clients/serde/impl/StringSerde.java
+++ /dev/null
@@ -1,38 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.clients.serde.impl;
-
-import lombok.NonNull;
-import org.nd4j.shade.jackson.core.JsonProcessingException;
-import org.nd4j.shade.jackson.databind.ObjectMapper;
-
-/**
- * This class provides fake JSON serializer/deserializer functionality for String.
- * It doesn't put any JSON-specific bits into actual string
- */
-public class StringSerde extends AbstractSerDe {
-
-    @Override
-    public String serialize(@NonNull String data) {
-        return serializeClass(data);
-    }
-
-    @Override
-    public String deserialize(@NonNull String json) {
-        return deserializeClass(json, String.class);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/README.md b/nd4j/nd4j-remote/nd4j-json-server/README.md
deleted file mode 100644
index 963890a7b..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/README.md
+++ /dev/null
@@ -1,35 +0,0 @@
-## SameDiff model serving
-
-This modules provides JSON-based serving of SameDiff models
-
-## Example
-
-First of all we'll create server instance. Most probably you'll do it in application that will be running in container
-```java
-val server = SameDiffJsonModelServer.builder()
-                .adapter(new StringToSentimentAdapter())
-                .model(mySameDiffModel)
-                .port(8080)
-                .serializer(new SentimentSerializer())
-                .deserializer(new StringDeserializer())
-                .build();
-
-server.start();
-server.join();
-```
-
-Now, presumably in some other container, we'll set up remote inference client:
-```java
-val client = JsonRemoteInference.builder()
-                .endpointAddress("http://youraddress:8080/v1/serving")
-                .serializer(new StringSerializer())
-                .deserializer(new SentimentDeserializer())
-                .build();
-
-Sentiment result = client.predict(myText);
-```
- On top of that, there's async call available, for cases when you need to chain multiple requests to one or multiple remote model servers.
- 
-```java
-Future result = client.predictAsync(myText);
-```
\ No newline at end of file
diff --git a/nd4j/nd4j-remote/nd4j-json-server/pom.xml b/nd4j/nd4j-remote/nd4j-json-server/pom.xml
deleted file mode 100644
index ded578721..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/pom.xml
+++ /dev/null
@@ -1,185 +0,0 @@
-
-
-
-    4.0.0
-    jar
-
-    
-        org.nd4j
-        nd4j-remote
-        1.0.0-SNAPSHOT
-    
-
-    nd4j-json-server
-    nd4j-json-server
-
-    
-        UTF-8
-        1.7
-        1.7
-    
-
-    
-        
-            junit
-            junit
-            test
-        
-
-        
-            org.nd4j
-            nd4j-json-client
-            ${project.version}
-        
-
-        
-            org.slf4j
-            slf4j-api
-        
-
-        
-            org.nd4j
-            nd4j-api
-            ${project.version}
-        
-
-        
-            org.glassfish.jersey.core
-            jersey-client
-            ${jersey.version}
-        
-
-        
-            org.glassfish.jersey.core
-            jersey-server
-            ${jersey.version}
-        
-
-        
-            org.eclipse.jetty
-            jetty-server
-            9.4.19.v20190610
-        
-
-        
-            org.eclipse.jetty
-            jetty-servlet
-            9.4.19.v20190610
-        
-
-        
-            org.glassfish.jersey.inject
-            jersey-hk2
-            ${jersey.version}
-        
-
-        
-            org.glassfish.jersey.media
-            jersey-media-json-processing
-            ${jersey.version}
-        
-
-        
-            org.glassfish.jersey.containers
-            jersey-container-servlet-core
-            ${jersey.version}
-        
-
-        
-            ch.qos.logback
-            logback-core
-            ${logback.version}
-            test
-        
-
-        
-            ch.qos.logback
-            logback-classic
-            ${logback.version}
-            test
-        
-
-        
-            javax.xml.bind
-            jaxb-api
-            2.3.0
-        
-
-        
-            com.sun.xml.bind
-            jaxb-impl
-            2.3.0
-        
-
-        
-            com.sun.xml.bind
-            jaxb-core
-            2.3.0
-        
-
-        
-            javax.activation
-            activation
-            1.1.1
-        
-
-        
-            com.google.code.gson
-            gson
-            ${gson.version}
-            test
-        
-
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
-    
-
-    
-        
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    ${maven.compiler.source}
-                    ${maven.compiler.target}
-                
-            
-        
-    
-
-    
-        
-            nd4j-tests-cpu
-            
-                
-                    org.nd4j
-                    nd4j-native
-                    ${project.version}
-                    test
-                
-            
-        
-
-        
-            nd4j-tests-cuda
-            
-                
-                    org.nd4j
-                    nd4j-cuda-11.0
-                    ${project.version}
-                    test
-                
-            
-        
-
-        
-            testresources
-        
-    
-
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/SameDiffJsonModelServer.java b/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/SameDiffJsonModelServer.java
deleted file mode 100644
index 828cc5f23..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/SameDiffJsonModelServer.java
+++ /dev/null
@@ -1,304 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote;
-
-import lombok.*;
-import lombok.extern.slf4j.Slf4j;
-import org.eclipse.jetty.server.Server;
-import org.eclipse.jetty.servlet.ServletContextHandler;
-import org.nd4j.adapters.InputAdapter;
-import org.nd4j.adapters.OutputAdapter;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.common.base.Preconditions;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.remote.clients.serde.BinaryDeserializer;
-import org.nd4j.remote.clients.serde.BinarySerializer;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-import org.nd4j.adapters.InferenceAdapter;
-import org.nd4j.remote.serving.ModelServingServlet;
-import org.nd4j.remote.serving.SameDiffServlet;
-
-import java.util.List;
-
-/**
- * This class provides JSON-powered model serving functionality for SameDiff graphs.
- * Server url will be http://0.0.0.0:{port}>/v1/serving
- * Server only accepts POST requests
- *
- * @param  type of the input class, i.e. String
- * @param  type of the output class, i.e. Sentiment
- *
- * @author raver119@gmail.com
- */
-@Slf4j
-public class SameDiffJsonModelServer {
-
-
-    protected SameDiff sdModel;
-    protected final JsonSerializer serializer;
-    protected final JsonDeserializer deserializer;
-    protected final BinarySerializer binarySerializer;
-    protected final BinaryDeserializer binaryDeserializer;
-    protected final InferenceAdapter inferenceAdapter;
-    protected final int port;
-
-    // this servlet will be used to serve models
-    protected ModelServingServlet servingServlet;
-
-    // HTTP server instance
-    protected Server server;
-
-    // for SameDiff only
-    protected String[] orderedInputNodes;
-    protected String[] orderedOutputNodes;
-
-    protected SameDiffJsonModelServer(@NonNull InferenceAdapter inferenceAdapter,
-                                      JsonSerializer serializer, JsonDeserializer deserializer,
-                                      BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer,
-                                      int port) {
-        Preconditions.checkArgument(port > 0 && port < 65535, "TCP port must be in range of 0..65535");
-        Preconditions.checkArgument(serializer == null && binarySerializer == null ||
-                                        serializer != null && binarySerializer == null ||
-                                        serializer == null && binarySerializer != null,
-                                "JSON and binary serializers/deserializers are mutually exclusive and mandatory.");
-
-        this.binarySerializer = binarySerializer;
-        this.binaryDeserializer = binaryDeserializer;
-        this.inferenceAdapter = inferenceAdapter;
-        this.serializer = serializer;
-        this.deserializer = deserializer;
-        this.port = port;
-    }
-
-    //@Builder
-    public SameDiffJsonModelServer(SameDiff sdModel, @NonNull InferenceAdapter inferenceAdapter,
-                                   JsonSerializer serializer, JsonDeserializer deserializer,
-                                   BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer,
-                                   int port, String[] orderedInputNodes, @NonNull String[] orderedOutputNodes) {
-        this(inferenceAdapter, serializer, deserializer, binarySerializer, binaryDeserializer, port);
-        this.sdModel = sdModel;
-        this.orderedInputNodes = orderedInputNodes;
-        this.orderedOutputNodes = orderedOutputNodes;
-
-        // TODO: both lists of nodes should be validated, to make sure nodes specified here exist in actual model
-        if (orderedInputNodes != null) {
-            // input nodes list might be null. strange but ok
-        }
-
-        Preconditions.checkArgument(orderedOutputNodes != null && orderedOutputNodes.length > 0, "SameDiff serving requires at least 1 output node");
-    }
-
-    protected void start(int port, @NonNull ModelServingServlet servlet) throws Exception {
-        val context = new ServletContextHandler(ServletContextHandler.SESSIONS);
-        context.setContextPath("/");
-
-        server = new Server(port);
-        server.setHandler(context);
-
-        val jerseyServlet = context.addServlet(org.glassfish.jersey.servlet.ServletContainer.class, "/*");
-        jerseyServlet.setInitOrder(0);
-        jerseyServlet.setServlet(servlet);
-
-        server.start();
-    }
-
-    public void start() throws Exception {
-        Preconditions.checkArgument(sdModel != null, "SameDiff model wasn't defined");
-
-        servingServlet = SameDiffServlet.builder()
-                .sdModel(sdModel)
-                .serializer(serializer)
-                .deserializer(deserializer)
-                .inferenceAdapter(inferenceAdapter)
-                .orderedInputNodes(orderedInputNodes)
-                .orderedOutputNodes(orderedOutputNodes)
-                .build();
-
-        start(port, servingServlet);
-    }
-
-    public void join() throws InterruptedException {
-        Preconditions.checkArgument(server != null, "Model server wasn't started yet");
-
-        server.join();
-    }
-
-    public void stop() throws Exception {
-        //Preconditions.checkArgument(server != null, "Model server wasn't started yet");
-
-        server.stop();
-    }
-
-
-    public static class Builder {
-        private SameDiff sameDiff;
-        private String[] orderedInputNodes;
-        private String[] orderedOutputNodes;
-        private InferenceAdapter inferenceAdapter;
-        private JsonSerializer serializer;
-        private JsonDeserializer deserializer;
-        private int port;
-
-        private InputAdapter inputAdapter;
-        private OutputAdapter outputAdapter;
-
-        public Builder() {}
-
-        public Builder sdModel(@NonNull SameDiff sameDiff) {
-            this.sameDiff = sameDiff;
-            return this;
-        }
-
-        /**
-         * This method defines InferenceAdapter implementation, which will be used to convert object of Input type to the set of INDArray(s), and for conversion of resulting INDArray(s) into object of Output type
-         * @param inferenceAdapter
-         * @return
-         */
-        public Builder inferenceAdapter(InferenceAdapter inferenceAdapter) {
-            this.inferenceAdapter = inferenceAdapter;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify InputAdapter to be used for inference
-         *
-         * PLEASE NOTE: This method is optional, and will require OutputAdapter defined
-         * @param inputAdapter
-         * @return
-         */
-        public Builder inputAdapter(@NonNull InputAdapter inputAdapter) {
-            this.inputAdapter = inputAdapter;
-            return this;
-        }
-
-        /**
-         * This method allows you to specify OutputAdapter to be used for inference
-         *
-         * PLEASE NOTE: This method is optional, and will require InputAdapter defined
-         * @param outputAdapter
-         * @return
-         */
-        public Builder outputAdapter(@NonNull OutputAdapter outputAdapter) {
-            this.outputAdapter = outputAdapter;
-            return this;
-        }
-
-        /**
-         * This method defines JsonSerializer instance to be used to convert object of output type into JSON format, so it could be sent over the wire
-         *
-         * @param serializer
-         * @return
-         */
-        public Builder outputSerializer(@NonNull JsonSerializer serializer) {
-            this.serializer = serializer;
-            return this;
-        }
-
-        /**
-         * This method defines JsonDeserializer instance to be used to convert JSON passed through HTTP into actual object of input type, that will be fed into SameDiff model
-         *
-         * @param deserializer
-         * @return
-         */
-        public Builder inputDeserializer(@NonNull JsonDeserializer deserializer) {
-            this.deserializer = deserializer;
-            return this;
-        }
-
-        /**
-         * This method defines the order of placeholders to be filled with INDArrays provided by Deserializer
-         *
-         * @param args
-         * @return
-         */
-        public Builder orderedInputNodes(String... args) {
-            orderedInputNodes = args;
-            return this;
-        }
-
-        /**
-         * This method defines the order of placeholders to be filled with INDArrays provided by Deserializer
-         *
-         * @param args
-         * @return
-         */
-        public Builder orderedInputNodes(@NonNull List args) {
-            orderedInputNodes = args.toArray(new String[args.size()]);
-            return this;
-        }
-
-        /**
-         * This method defines list of graph nodes to be extracted after feed-forward pass and used as OutputAdapter input
-         * @param args
-         * @return
-         */
-        public Builder orderedOutputNodes(String... args) {
-            Preconditions.checkArgument(args != null && args.length > 0, "OutputNodes should contain at least 1 element");
-            orderedOutputNodes = args;
-            return this;
-        }
-
-        /**
-         * This method defines list of graph nodes to be extracted after feed-forward pass and used as OutputAdapter input
-         * @param args
-         * @return
-         */
-        public Builder orderedOutputNodes(@NonNull List args) {
-            Preconditions.checkArgument(args.size() > 0, "OutputNodes should contain at least 1 element");
-            orderedOutputNodes = args.toArray(new String[args.size()]);
-            return this;
-        }
-
-        /**
-         * This method allows to configure HTTP port used for serving
-         *
-         * PLEASE NOTE: port must be free and be in range regular TCP/IP ports range
-         * @param port
-         * @return
-         */
-        public Builder port(int port) {
-            this.port = port;
-            return this;
-        }
-
-        /**
-         * This method builds SameDiffJsonModelServer instance
-         * @return
-         */
-        public SameDiffJsonModelServer build() {
-            if (inferenceAdapter == null) {
-                if (inputAdapter != null && outputAdapter != null) {
-                    inferenceAdapter = new InferenceAdapter() {
-                        @Override
-                        public MultiDataSet apply(I input) {
-                            return inputAdapter.apply(input);
-                        }
-
-                        @Override
-                        public O apply(INDArray... outputs) {
-                            return outputAdapter.apply(outputs);
-                        }
-                    };
-                } else
-                    throw new IllegalArgumentException("Either InferenceAdapter or InputAdapter + OutputAdapter should be configured");
-            }
-            return new SameDiffJsonModelServer(sameDiff, inferenceAdapter, serializer, deserializer, null, null, port, orderedInputNodes, orderedOutputNodes);
-        }
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/SameDiffServlet.java b/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/SameDiffServlet.java
deleted file mode 100644
index bf1c0ebc1..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/SameDiffServlet.java
+++ /dev/null
@@ -1,236 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.serving;
-
-import lombok.*;
-import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.lang3.StringUtils;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.remote.clients.serde.BinaryDeserializer;
-import org.nd4j.remote.clients.serde.BinarySerializer;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-import org.nd4j.adapters.InferenceAdapter;
-
-import javax.servlet.*;
-import javax.servlet.http.HttpServletRequest;
-import javax.servlet.http.HttpServletResponse;
-import javax.ws.rs.HttpMethod;
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.util.LinkedHashMap;
-
-import static javax.ws.rs.core.MediaType.APPLICATION_JSON;
-import static javax.ws.rs.core.MediaType.APPLICATION_OCTET_STREAM;
-
-/**
- * This servlet provides SameDiff model serving capabilities
- *
- * @param 
- * @param 
- *
- * @author raver119@gmail.com
- */
-@NoArgsConstructor
-@AllArgsConstructor
-@Slf4j
-@Builder
-public class SameDiffServlet implements ModelServingServlet {
-
-    protected static final String typeJson = APPLICATION_JSON;
-    protected static final String typeBinary = APPLICATION_OCTET_STREAM;
-
-    protected SameDiff sdModel;
-    protected JsonSerializer serializer;
-    protected JsonDeserializer deserializer;
-    protected BinarySerializer binarySerializer;
-    protected BinaryDeserializer binaryDeserializer;
-    protected InferenceAdapter inferenceAdapter;
-
-    protected String[] orderedInputNodes;
-    protected String[] orderedOutputNodes;
-
-    protected final static String SERVING_ENDPOINT = "/v1/serving";
-    protected final static String LISTING_ENDPOINT = "/v1";
-    protected final static int PAYLOAD_SIZE_LIMIT = 10 * 1024 * 1024; // TODO: should be customizable
-
-    protected SameDiffServlet(@NonNull InferenceAdapter inferenceAdapter, JsonSerializer serializer, JsonDeserializer deserializer){
-        this.serializer = serializer;
-        this.deserializer = deserializer;
-        this.inferenceAdapter = inferenceAdapter;
-    }
-
-    protected SameDiffServlet(@NonNull InferenceAdapter inferenceAdapter,
-                              BinarySerializer serializer, BinaryDeserializer deserializer){
-        this.binarySerializer = serializer;
-        this.binaryDeserializer = deserializer;
-        this.inferenceAdapter = inferenceAdapter;
-    }
-
-    protected SameDiffServlet(@NonNull InferenceAdapter inferenceAdapter,
-                              JsonSerializer jsonSerializer, JsonDeserializer jsonDeserializer,
-                              BinarySerializer binarySerializer, BinaryDeserializer binaryDeserializer){
-
-        this.serializer = jsonSerializer;
-        this.deserializer = jsonDeserializer;
-        this.binarySerializer = binarySerializer;
-        this.binaryDeserializer = binaryDeserializer;
-        this.inferenceAdapter = inferenceAdapter;
-
-        if (serializer != null && binarySerializer != null || serializer == null && binarySerializer == null)
-            throw new IllegalStateException("Binary and JSON serializers/deserializers are mutually exclusive and mandatory.");
-    }
-
-
-    @Override
-    public void init(ServletConfig servletConfig) throws ServletException {
-        //
-    }
-
-    @Override
-    public ServletConfig getServletConfig() {
-        return null;
-    }
-
-    @Override
-    public void service(ServletRequest servletRequest, ServletResponse servletResponse) throws ServletException, IOException {
-        // we'll parse request here, and do model serving
-        val httpRequest = (HttpServletRequest) servletRequest;
-        val httpResponse = (HttpServletResponse) servletResponse;
-
-        if (httpRequest.getMethod().equals(HttpMethod.GET)) {
-            doGet(httpRequest, httpResponse);
-        }
-        else if (httpRequest.getMethod().equals(HttpMethod.POST)) {
-            doPost(httpRequest, httpResponse);
-        }
-
-    }
-
-    protected void sendError(String uri, HttpServletResponse response) throws IOException {
-        val msg = "Requested endpoint [" + uri + "] not found";
-        response.setStatus(404, msg);
-        response.sendError(404, msg);
-    }
-
-    protected void sendBadContentType(String actualContentType, HttpServletResponse response) throws IOException {
-        val msg = "Content type [" + actualContentType + "] not supported";
-        response.setStatus(415, msg);
-        response.sendError(415, msg);
-    }
-
-    protected boolean validateRequest(HttpServletRequest request, HttpServletResponse response)
-                                                                            throws IOException{
-        val contentType = request.getContentType();
-        if (!StringUtils.equals(contentType, typeJson)) {
-            sendBadContentType(contentType, response);
-            int contentLength = request.getContentLength();
-            if (contentLength > PAYLOAD_SIZE_LIMIT) {
-                response.sendError(500, "Payload size limit violated!");
-            }
-            return false;
-        }
-        return true;
-    }
-
-    protected void doGet(HttpServletRequest request, HttpServletResponse response) throws IOException {
-        val processor = new ServingProcessor();
-        String processorReturned = "";
-        String path = request.getPathInfo();
-        if (path.equals(LISTING_ENDPOINT)) {
-            val contentType = request.getContentType();
-            if (!StringUtils.equals(contentType, typeJson)) {
-                sendBadContentType(contentType, response);
-            }
-            processorReturned = processor.listEndpoints();
-        }
-        else {
-            sendError(request.getRequestURI(), response);
-        }
-        try {
-            val out = response.getWriter();
-            out.write(processorReturned);
-        } catch (IOException e) {
-            log.error(e.getMessage());
-        }
-    }
-
-    protected void doPost(HttpServletRequest request, HttpServletResponse response) throws IOException {
-        val processor = new ServingProcessor();
-        String processorReturned = "";
-        String path = request.getPathInfo();
-        if (path.equals(SERVING_ENDPOINT)) {
-            val contentType = request.getContentType();
-            /*Preconditions.checkArgument(StringUtils.equals(contentType, typeJson),
-                    "Content type is " + contentType);*/
-            if (validateRequest(request,response)) {
-                val stream = request.getInputStream();
-                val bufferedReader = new BufferedReader(new InputStreamReader(stream));
-                char[] charBuffer = new char[128];
-                int bytesRead = -1;
-                val buffer = new StringBuilder();
-                while ((bytesRead = bufferedReader.read(charBuffer)) > 0) {
-                    buffer.append(charBuffer, 0, bytesRead);
-                }
-                val requestString = buffer.toString();
-
-                val mds = inferenceAdapter.apply(deserializer.deserialize(requestString));
-                val map = new LinkedHashMap();
-
-                // optionally define placeholders with names provided in server constructor
-                if (orderedInputNodes != null && orderedInputNodes.length > 0) {
-                    int cnt = 0;
-                    for (val n : orderedInputNodes)
-                        map.put(n, mds.getFeatures(cnt++));
-                }
-
-                val output = sdModel.output(map, orderedOutputNodes);
-                val arrays = new INDArray[output.size()];
-
-                // now we need to get ordered output arrays, as specified in server constructor
-                int cnt = 0;
-                for (val n : orderedOutputNodes)
-                    arrays[cnt++] = output.get(n);
-
-                // process result
-                val result = inferenceAdapter.apply(arrays);
-                processorReturned = serializer.serialize(result);
-            }
-        } else {
-            // we return error otherwise
-            sendError(request.getRequestURI(), response);
-        }
-        try {
-            val out = response.getWriter();
-            out.write(processorReturned);
-        } catch (IOException e) {
-            log.error(e.getMessage());
-        }
-    }
-
-    @Override
-    public String getServletInfo() {
-        return null;
-    }
-
-    @Override
-    public void destroy() {
-        //
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/ServingProcessor.java b/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/ServingProcessor.java
deleted file mode 100644
index 6f77215bd..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/main/java/org/nd4j/remote/serving/ServingProcessor.java
+++ /dev/null
@@ -1,14 +0,0 @@
-package org.nd4j.remote.serving;
-
-public class ServingProcessor {
-
-    public String listEndpoints() {
-        String retVal = "/v1/ \n/v1/serving/";
-        return retVal;
-    }
-
-    public String processModel(String body) {
-        String response = null; //"Not implemented";
-        return response;
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/SameDiffJsonModelServerTest.java b/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/SameDiffJsonModelServerTest.java
deleted file mode 100644
index e810e5e3c..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/SameDiffJsonModelServerTest.java
+++ /dev/null
@@ -1,272 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote;
-
-import lombok.extern.slf4j.Slf4j;
-import lombok.val;
-import org.junit.Test;
-import org.nd4j.common.tests.BaseND4JTest;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.linalg.api.buffer.DataType;
-import org.nd4j.remote.clients.JsonRemoteInference;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.helpers.House;
-import org.nd4j.remote.helpers.HouseToPredictedPriceAdapter;
-import org.nd4j.remote.helpers.PredictedPrice;
-import org.nd4j.remote.clients.serde.impl.FloatArraySerde;
-
-import java.io.IOException;
-import java.util.concurrent.ExecutionException;
-import java.util.concurrent.Future;
-
-import static org.junit.Assert.*;
-
-@Slf4j
-public class SameDiffJsonModelServerTest extends BaseND4JTest {
-
-    @Test
-    public void basicServingTest_1() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new SameDiffJsonModelServer.Builder()
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .sdModel(sd)
-                .port(18080)
-                .build();
-
-        server.start();
-
-        val client = JsonRemoteInference.builder()
-                .inputSerializer(new House.HouseSerializer())
-                .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                .endpointAddress("http://localhost:18080/v1/serving")
-                .build();
-
-        int district = 2;
-        House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-        // warmup
-        PredictedPrice price = client.predict(house);
-
-        val timeStart = System.currentTimeMillis();
-        price = client.predict(house);
-        val timeStop = System.currentTimeMillis();
-
-        log.info("Time spent: {} ms", timeStop - timeStart);
-
-        assertNotNull(price);
-        assertEquals((float) district + 1.0f, price.getPrice(), 1e-5);
-
-        server.stop();
-    }
-
-    @Test
-    public void testDeserialization_1() {
-        String request = "{\"bedrooms\":3,\"area\":100,\"district\":2,\"bathrooms\":2}";
-        val deserializer = new House.HouseDeserializer();
-        val result = deserializer.deserialize(request);
-        assertEquals(2, result.getDistrict());
-        assertEquals(100, result.getArea());
-        assertEquals(2, result.getBathrooms());
-        assertEquals(3, result.getBedrooms());
-
-    }
-
-    @Test
-    public void testDeserialization_2() {
-        String request = "{\"price\":1}";
-        val deserializer = new PredictedPrice.PredictedPriceDeserializer();
-        val result = deserializer.deserialize(request);
-        assertEquals(1.0, result.getPrice(), 1e-4);
-    }
-
-    @Test
-    public void testDeserialization_3() {
-        float[] data = {0.0f,  0.1f, 0.2f};
-        val serialized = new FloatArraySerde().serialize(data);
-        val deserialized = new FloatArraySerde().deserialize(serialized);
-        assertArrayEquals(data, deserialized, 1e-5f);
-    }
-
-    @Test(expected = NullPointerException.class)
-    public void negativeServingTest_1() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new SameDiffJsonModelServer.Builder()
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(null)
-                .sdModel(sd)
-                .port(18080)
-                .build();
-    }
-
-    @Test(expected = NullPointerException.class)
-    public void negativeServingTest_2() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new SameDiffJsonModelServer.Builder()
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .sdModel(sd)
-                .port(18080)
-                .build();
-
-    }
-
-    @Test(expected = IOException.class)
-    public void negativeServingTest_3() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new SameDiffJsonModelServer.Builder()
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .sdModel(sd)
-                .port(18080)
-                .build();
-
-        server.start();
-
-        val client = JsonRemoteInference.builder()
-                .inputSerializer(new House.HouseSerializer())
-                .outputDeserializer(new JsonDeserializer() {
-                    @Override
-                    public PredictedPrice deserialize(String json) {
-                        return null;
-                    }
-                })
-                .endpointAddress("http://localhost:18080/v1/serving")
-                .build();
-
-        int district = 2;
-        House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-        // warmup
-        PredictedPrice price = client.predict(house);
-
-        server.stop();
-    }
-
-    @Test
-    public void asyncServingTest() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new SameDiffJsonModelServer.Builder()
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .sdModel(sd)
-                .port(18080)
-                .build();
-
-        server.start();
-
-        val client = JsonRemoteInference.builder()
-                .inputSerializer(new House.HouseSerializer())
-                .outputDeserializer(new PredictedPrice.PredictedPriceDeserializer())
-                .endpointAddress("http://localhost:18080/v1/serving")
-                .build();
-
-        int district = 2;
-        House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-        val timeStart = System.currentTimeMillis();
-        Future price = client.predictAsync(house);
-        assertNotNull(price);
-        assertEquals((float) district + 1.0f, price.get().getPrice(), 1e-5);
-        val timeStop = System.currentTimeMillis();
-
-        log.info("Time spent: {} ms", timeStop - timeStart);
-
-
-        server.stop();
-    }
-
-    @Test
-    public void negativeAsyncTest() throws Exception {
-        val sd = SameDiff.create();
-        val sdVariable = sd.placeHolder("input", DataType.INT, 4);
-        val result = sdVariable.add(1.0);
-        val total = result.mean("total", Integer.MAX_VALUE);
-
-        val server = new SameDiffJsonModelServer.Builder()
-                .outputSerializer(new PredictedPrice.PredictedPriceSerializer())
-                .inputDeserializer(new House.HouseDeserializer())
-                .inferenceAdapter(new HouseToPredictedPriceAdapter())
-                .orderedInputNodes(new String[]{"input"})
-                .orderedOutputNodes(new String[]{"total"})
-                .sdModel(sd)
-                .port(18080)
-                .build();
-
-        server.start();
-
-        // Fake deserializer to test failure
-        val client = JsonRemoteInference.builder()
-                .inputSerializer(new House.HouseSerializer())
-                .outputDeserializer(new JsonDeserializer() {
-                    @Override
-                    public PredictedPrice deserialize(String json) {
-                        return null;
-                    }
-                })
-                .endpointAddress("http://localhost:18080/v1/serving")
-                .build();
-
-        int district = 2;
-        House house = House.builder().area(100).bathrooms(2).bedrooms(3).district(district).build();
-
-        val timeStart = System.currentTimeMillis();
-        try {
-            Future price = client.predictAsync(house);
-            assertNotNull(price);
-            assertEquals((float) district + 1.0f, price.get().getPrice(), 1e-5);
-            val timeStop = System.currentTimeMillis();
-
-            log.info("Time spent: {} ms", timeStop - timeStart);
-        } catch (ExecutionException e) {
-            assertTrue(e.getMessage().contains("Deserialization failed"));
-        }
-
-        server.stop();
-    }
-
-}
\ No newline at end of file
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/SameDiffServletTest.java b/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/SameDiffServletTest.java
deleted file mode 100644
index 7d8104013..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/SameDiffServletTest.java
+++ /dev/null
@@ -1,117 +0,0 @@
-package org.nd4j.remote;
-
-import lombok.val;
-import org.apache.http.client.methods.HttpGet;
-import org.apache.http.client.methods.HttpPost;
-import org.apache.http.impl.client.HttpClientBuilder;
-import org.junit.After;
-import org.junit.Before;
-import org.junit.Test;
-import org.nd4j.common.tests.BaseND4JTest;
-import org.nd4j.autodiff.samediff.SameDiff;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-import org.nd4j.adapters.InferenceAdapter;
-
-import java.io.IOException;
-
-import static org.junit.Assert.assertEquals;
-
-public class SameDiffServletTest extends BaseND4JTest {
-
-    private SameDiffJsonModelServer server;
-
-    @Before
-    public void setUp() throws Exception {
-        server = new SameDiffJsonModelServer.Builder()
-                .sdModel(SameDiff.create())
-                .port(8080)
-                .inferenceAdapter(new InferenceAdapter() {
-                    @Override
-                    public MultiDataSet apply(String input) {
-                        return null;
-                    }
-
-                    @Override
-                    public String apply(INDArray... nnOutput) {
-                        return null;
-                    }
-                })
-                .outputSerializer(new JsonSerializer() {
-                    @Override
-                    public String serialize(String o) {
-                        return "";
-                    }
-                })
-                .inputDeserializer(new JsonDeserializer() {
-                    @Override
-                    public String deserialize(String json) {
-                        return "";
-                    }
-                })
-                .orderedOutputNodes(new String[]{"output"})
-                .build();
-
-        server.start();
-        //server.join();
-    }
-
-    @After
-    public void tearDown() throws Exception {
-        server.stop();
-    }
-
-    @Test
-    public void getEndpoints() throws IOException {
-        val request = new HttpGet( "http://localhost:8080/v1" );
-        request.setHeader("Content-type", "application/json");
-
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(200, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testContentTypeGet() throws IOException {
-        val request = new HttpGet( "http://localhost:8080/v1" );
-        request.setHeader("Content-type", "text/plain");
-
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(415, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testContentTypePost() throws Exception {
-        val request = new HttpPost("http://localhost:8080/v1/serving");
-        request.setHeader("Content-type", "text/plain");
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(415, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void postForServing() throws Exception {
-        val request = new HttpPost("http://localhost:8080/v1/serving");
-        request.setHeader("Content-type", "application/json");
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(500, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testNotFoundPost() throws Exception {
-        val request = new HttpPost("http://localhost:8080/v1/serving/some");
-        request.setHeader("Content-type", "application/json");
-        val response = HttpClientBuilder.create().build().execute( request );
-        assertEquals(404, response.getStatusLine().getStatusCode());
-    }
-
-    @Test
-    public void testNotFoundGet() throws Exception {
-        val requestGet = new HttpGet( "http://localhost:8080/v1/not_found" );
-        requestGet.setHeader("Content-type", "application/json");
-
-        val responseGet = HttpClientBuilder.create().build().execute( requestGet );
-        assertEquals(404, responseGet.getStatusLine().getStatusCode());
-    }
-
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/House.java b/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/House.java
deleted file mode 100644
index e5089e585..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/House.java
+++ /dev/null
@@ -1,48 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.helpers;
-
-import com.google.gson.Gson;
-import lombok.*;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-
-@Data
-@Builder
-@AllArgsConstructor
-@NoArgsConstructor
-public class House {
-    private int district;
-    private int bedrooms;
-    private int bathrooms;
-    private int area;
-
-
-    public static class HouseSerializer implements JsonSerializer {
-        @Override
-        public String serialize(@NonNull House o) {
-            return new Gson().toJson(o);
-        }
-    }
-
-    public static class HouseDeserializer implements JsonDeserializer {
-        @Override
-        public House deserialize(@NonNull String json) {
-            return new Gson().fromJson(json, House.class);
-        }
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/HouseToPredictedPriceAdapter.java b/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/HouseToPredictedPriceAdapter.java
deleted file mode 100644
index fe07623d3..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/HouseToPredictedPriceAdapter.java
+++ /dev/null
@@ -1,40 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.helpers;
-
-import lombok.NonNull;
-import lombok.extern.slf4j.Slf4j;
-import org.nd4j.linalg.api.buffer.DataType;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.dataset.MultiDataSet;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.adapters.InferenceAdapter;
-
-@Slf4j
-public class HouseToPredictedPriceAdapter implements InferenceAdapter {
-
-    @Override
-    public MultiDataSet apply(@NonNull House input) {
-        // we just create vector array with shape[4] and assign it's value to the district value
-        return new MultiDataSet(Nd4j.create(DataType.FLOAT, 4).assign(input.getDistrict()), null);
-    }
-
-    @Override
-    public PredictedPrice apply(INDArray... nnOutput) {
-        return new PredictedPrice(nnOutput[0].getFloat(0));
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/PredictedPrice.java b/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/PredictedPrice.java
deleted file mode 100644
index 6dd24e497..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/helpers/PredictedPrice.java
+++ /dev/null
@@ -1,46 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.nd4j.remote.helpers;
-
-import com.google.gson.Gson;
-import lombok.AllArgsConstructor;
-import lombok.Data;
-import lombok.NoArgsConstructor;
-import lombok.NonNull;
-import org.nd4j.remote.clients.serde.JsonDeserializer;
-import org.nd4j.remote.clients.serde.JsonSerializer;
-
-@Data
-@AllArgsConstructor
-@NoArgsConstructor
-public class PredictedPrice {
-    private float price;
-
-    public static class PredictedPriceSerializer implements JsonSerializer {
-        @Override
-        public String serialize(@NonNull PredictedPrice o) {
-            return new Gson().toJson(o);
-        }
-    }
-
-    public static class PredictedPriceDeserializer implements JsonDeserializer {
-        @Override
-        public PredictedPrice deserialize(@NonNull String json) {
-            return new Gson().fromJson(json, PredictedPrice.class);
-        }
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/serde/BasicSerdeTests.java b/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/serde/BasicSerdeTests.java
deleted file mode 100644
index 2db54054c..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/java/org/nd4j/remote/serde/BasicSerdeTests.java
+++ /dev/null
@@ -1,91 +0,0 @@
-package org.nd4j.remote.serde;
-
-import lombok.val;
-import org.junit.Test;
-import org.nd4j.common.tests.BaseND4JTest;
-import org.nd4j.remote.clients.serde.impl.*;
-
-import static org.junit.Assert.assertArrayEquals;
-import static org.junit.Assert.assertEquals;
-
-public class BasicSerdeTests extends BaseND4JTest {
-    private final static DoubleArraySerde doubleArraySerde = new DoubleArraySerde();
-    private final static FloatArraySerde floatArraySerde = new FloatArraySerde();
-    private final static StringSerde stringSerde = new StringSerde();
-    private final static IntegerSerde integerSerde = new IntegerSerde();
-    private final static FloatSerde floatSerde = new FloatSerde();
-    private final static DoubleSerde doubleSerde = new DoubleSerde();
-    private final static BooleanSerde booleanSerde = new BooleanSerde();
-
-    @Test
-    public void testStringSerde_1() {
-        val jvmString = "String with { strange } elements";
-
-        val serialized = stringSerde.serialize(jvmString);
-        val deserialized = stringSerde.deserialize(serialized);
-
-        assertEquals(jvmString, deserialized);
-    }
-
-    @Test
-    public void testFloatArraySerDe_1() {
-        val jvmArray = new float[] {1.0f, 2.0f, 3.0f, 4.0f, 5.0f};
-
-        val serialized = floatArraySerde.serialize(jvmArray);
-        val deserialized = floatArraySerde.deserialize(serialized);
-
-        assertArrayEquals(jvmArray, deserialized, 1e-5f);
-    }
-
-    @Test
-    public void testDoubleArraySerDe_1() {
-        val jvmArray = new double[] {1.0, 2.0, 3.0, 4.0, 5.0};
-
-        val serialized = doubleArraySerde.serialize(jvmArray);
-        val deserialized = doubleArraySerde.deserialize(serialized);
-
-        assertArrayEquals(jvmArray, deserialized, 1e-5);
-    }
-
-    @Test
-    public void testFloatSerde_1() {
-        val f = 119.f;
-
-        val serialized = floatSerde.serialize(f);
-        val deserialized = floatSerde.deserialize(serialized);
-
-        assertEquals(f, deserialized, 1e-5f);
-    }
-
-    @Test
-    public void testDoubleSerde_1() {
-        val d = 119.;
-
-        val serialized = doubleSerde.serialize(d);
-        val deserialized = doubleSerde.deserialize(serialized);
-
-        assertEquals(d, deserialized, 1e-5);
-    }
-
-    @Test
-    public void testIntegerSerde_1() {
-        val f = 119;
-
-        val serialized = integerSerde.serialize(f);
-        val deserialized = integerSerde.deserialize(serialized);
-
-
-        assertEquals(f, deserialized.intValue());
-    }
-
-    @Test
-    public void testBooleanSerde_1() {
-        val f = true;
-
-        val serialized = booleanSerde.serialize(f);
-        val deserialized = booleanSerde.deserialize(serialized);
-
-
-        assertEquals(f, deserialized);
-    }
-}
diff --git a/nd4j/nd4j-remote/nd4j-json-server/src/test/resources/logback.xml b/nd4j/nd4j-remote/nd4j-json-server/src/test/resources/logback.xml
deleted file mode 100644
index cbcbed5d6..000000000
--- a/nd4j/nd4j-remote/nd4j-json-server/src/test/resources/logback.xml
+++ /dev/null
@@ -1,48 +0,0 @@
-
-
-
-
-
-
-    
-        logs/application.log
-        
-             %logger{15} - %message%n%xException{5}
-            
-        
-    
-
-    
-        
-             %logger{15} - %message%n%xException{5}
-            
-        
-    
-
-    
-    
-    
-    
-    
-
-
-    
-        
-        
-    
-
-
\ No newline at end of file
diff --git a/nd4j/nd4j-remote/pom.xml b/nd4j/nd4j-remote/pom.xml
deleted file mode 100644
index c6a0cdb86..000000000
--- a/nd4j/nd4j-remote/pom.xml
+++ /dev/null
@@ -1,35 +0,0 @@
-
-
-
-  4.0.0
-  pom
-
-  
-    nd4j-json-client
-    nd4j-grpc-client
-    nd4j-json-server
-  
-
-  
-    org.nd4j
-    nd4j
-    1.0.0-SNAPSHOT
-  
-
-  nd4j-remote
-  1.0.0-SNAPSHOT
-  nd4j-remote
-
-  
-    UTF-8
-    1.7
-    1.7
-  
-
-  
-    
-      testresources
-    
-  
-
diff --git a/nd4j/nd4j-serde/nd4j-aeron/pom.xml b/nd4j/nd4j-serde/nd4j-aeron/pom.xml
index 9245a3998..f868bbd89 100644
--- a/nd4j/nd4j-serde/nd4j-aeron/pom.xml
+++ b/nd4j/nd4j-serde/nd4j-aeron/pom.xml
@@ -1,42 +1,65 @@
-
+
+
+
+
 
-
     4.0.0
 
-    org.nd4j
-    nd4j-aeron
-    jar
-
-    nd4j-aeron
-
     
         org.nd4j
         nd4j-serde
         1.0.0-SNAPSHOT
     
+
+    nd4j-aeron
+
+    nd4j-aeron
+
     
         1.8
         1.8
         1.5.4
         1.4.0
-        UTF-8
     
 
+    
+        
+            io.aeron
+            aeron-all
+            ${aeron.version}
+        
+        
+            ch.qos.logback
+            logback-classic
+            test
+        
+        
+            ch.qos.logback
+            logback-core
+            test
+        
+    
+
     
         
             jdk9
@@ -50,7 +73,6 @@
         
             testresources
         
-
         
             nd4j-tests-cpu
             
@@ -70,7 +92,8 @@
                         maven-surefire-plugin
                         
                             
-                                ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
+                                
+                                    ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
                                 
                             
                             src/test/java
@@ -83,9 +106,11 @@
                             
                             junit:junit
                             
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
                             
                             
+
 
 
 
diff --git a/nd4j/nd4j-serde/nd4j-arrow/pom.xml b/nd4j/nd4j-serde/nd4j-arrow/pom.xml
index 26e59c510..9b006d973 100644
--- a/nd4j/nd4j-serde/nd4j-arrow/pom.xml
+++ b/nd4j/nd4j-serde/nd4j-arrow/pom.xml
@@ -1,44 +1,41 @@
-
+
+
+
+
 
-
-    
-        nd4j-serde
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j-serde
+        1.0.0-SNAPSHOT
+    
+
     nd4j-arrow
-    jar
 
     nd4j-arrow
 
     
-        
-            junit
-            junit
-            test
-        
-        
-            org.nd4j
-            nd4j-api
-            ${project.version}
-        
         
             org.apache.arrow
             arrow-vector
@@ -54,21 +51,12 @@
             arrow-format
             ${arrow.version}
         
-
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
     
 
     
         
             testresources
         
-
         
             nd4j-tests-cpu
             
@@ -88,7 +76,8 @@
                         maven-surefire-plugin
                         
                             
-                                ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
+                                
+                                    ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
                                 
                             
                             src/test/java
@@ -101,9 +90,11 @@
                             
                             junit:junit
                             
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
                             
                             
+
+
+
+
 
-
-    
-        nd4j-serde
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j-serde
+        1.0.0-SNAPSHOT
+    
+
     nd4j-kryo_2.11
-    jar
 
     nd4j-kryo
 
@@ -82,20 +89,12 @@
     
 
     
-        
-            org.nd4j
-            nd4j-api
-            ${project.version}
-        
-
         
         
             de.javakaffee
             kryo-serializers
             ${jkserializers.version}
         
-
-
         
             org.apache.spark
             spark-core_2.11
@@ -108,27 +107,12 @@
                 
             
         
-
-        
-            junit
-            junit
-            test
-        
-
-
-        
-            org.nd4j
-            nd4j-common-tests
-            ${project.version}
-            test
-        
     
 
     
         
             testresources
         
-
         
             nd4j-tests-cpu
             
@@ -148,7 +132,8 @@
                         maven-surefire-plugin
                         
                             
-                                ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
+                                
+                                    ${env.LD_LIBRARY_PATH}:${user.dir}:${libnd4jhome}/blasbuild/cpu/blas/
                                 
                             
                             src/test/java
@@ -161,9 +146,11 @@
                             
                             junit:junit
                             
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
-                                org.nd4j.linalg.cpu.nativecpu.CpuBackend
+                                
+                                    org.nd4j.linalg.cpu.nativecpu.CpuBackend
                                 
                             
                             
+
+
+
 
-
-    
-        nd4j
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.nd4j
+        nd4j
+        1.0.0-SNAPSHOT
+    
+
     nd4j-serde
-  1.0.0-SNAPSHOT
     pom
+
     
         nd4j-aeron
         nd4j-kryo
         nd4j-arrow
     
 
+    
+        
+            org.nd4j
+            nd4j-api
+        
+        
+            junit
+            junit
+            test
+        
+        
+            org.nd4j
+            nd4j-common-tests
+            ${project.version}
+            test
+        
+    
+
     
         
             testresources
diff --git a/nd4j/nd4j-shade/guava/pom.xml b/nd4j/nd4j-shade/guava/pom.xml
index 73b8d5825..c74f2299b 100644
--- a/nd4j/nd4j-shade/guava/pom.xml
+++ b/nd4j/nd4j-shade/guava/pom.xml
@@ -1,13 +1,35 @@
 
+
+
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        nd4j-shade
         org.nd4j
+        nd4j-shade
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     guava
 
@@ -19,27 +41,26 @@
         
             com.google.guava
             guava
-            28.0-jre
+            ${guava.jre.version}
             
             true
         
     
 
-
     
         
             custom-lifecycle
-
             
-                !skip.custom.lifecycle
+                
+                    !skip.custom.lifecycle
+                
             
             
                 
-
                     
                         org.apache.portals.jetspeed-2
                         jetspeed-mvn-maven-plugin
-                        2.3.1
+                        ${jetspeed-mvn-maven-plugin.version}
                         
                             
                                 compile-and-pack
@@ -53,12 +74,11 @@
                             
                                 org.apache.maven.shared
                                 maven-invoker
-                                2.2
+                                ${maven-invoker-plugin.version}
                             
                         
                         
                             
-
                                 
                                     create-shaded-jars
                                     @rootdir@/nd4j/nd4j-shade/guava/
@@ -67,7 +87,6 @@
                                         true
                                     
                                 
-
                             
                             create-shaded-jars
                         
@@ -79,12 +98,10 @@
 
     
         
-
             
             
                 com.lewisd
                 lint-maven-plugin
-                0.0.11
                 
                     
                         pom-lint
@@ -92,29 +109,9 @@
                     
                 
             
-
             
                 org.apache.maven.plugins
                 maven-shade-plugin
-                ${maven-shade-plugin.version}
-                
-                    
-                        package
-                        
-                            shade
-                        
-                        
-                            
-                                
-                                    reference.conf
-                                
-                                
-                                
-                            
-                        
-                    
-                
-
                 
                     
+
 
 
-    
-        nd4j-shade
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
     4.0.0
 
-    jackson
+    
+        org.nd4j
+        nd4j-shade
+        1.0.0-SNAPSHOT
+    
 
+    jackson
 
     
         true
     
 
-
-
     
         
             com.fasterxml.jackson.core
@@ -59,7 +62,6 @@
             jackson-dataformat-xml
             ${jackson.version}
             true
-
             
             
@@ -75,7 +77,6 @@
             ${jackson.version}
             true
         
-
         
         
             com.fasterxml.jackson.core
@@ -101,65 +102,59 @@
             5.1.0
             true
         
-
     
 
-
     
-      
-        custom-lifecycle
-
-        
-          !skip.custom.lifecycle
-        
-        
-          
-
-            
-              org.apache.portals.jetspeed-2
-              jetspeed-mvn-maven-plugin
-              2.3.1
-              
-                
-                  compile-and-pack
-                  compile
-                  
-                    mvn
-                  
-                
-              
-              
-                
-                  org.apache.maven.shared
-                  maven-invoker
-                  2.2
-                
-              
-              
-                
-
-                  
-                    create-shaded-jars
-                    @rootdir@/nd4j/nd4j-shade/jackson/
-                    clean,compile,package
-                    
-                      true
-                    
-                  
-
-                
-                create-shaded-jars
-              
-            
-
-          
-        
-      
+        
+            custom-lifecycle
+            
+                
+                    !skip.custom.lifecycle
+                
+            
+            
+                
+                    
+                        org.apache.portals.jetspeed-2
+                        jetspeed-mvn-maven-plugin
+                        ${jetspeed-mvn-maven-plugin.version}
+                        
+                            
+                                compile-and-pack
+                                compile
+                                
+                                    mvn
+                                
+                            
+                        
+                        
+                            
+                                org.apache.maven.shared
+                                maven-invoker
+                                ${maven-invoker-plugin.version}
+                            
+                        
+                        
+                            
+                                
+                                    create-shaded-jars
+                                    @rootdir@/nd4j/nd4j-shade/jackson/
+                                    clean,compile,package
+                                    
+                                        true
+                                    
+                                
+                            
+                            create-shaded-jars
+                        
+                    
+                
+            
+        
     
 
     
         
-
             
                         
@@ -239,79 +212,28 @@
                             org.nd4j.shade.codehaus
                         
                     
-
                     
                         
                             *:*
                             
-                                META-INF/services/javax.xml.stream.XMLOutputFactory
-                                META-INF/services/javax.xml.stream.XMLInputFactory
-                                META-INF/services/javax.xml.stream.XMLEventFactory
+                                META-INF/services/javax.xml.stream.XMLOutputFactory
+                                
+                                META-INF/services/javax.xml.stream.XMLInputFactory
+                                
+                                META-INF/services/javax.xml.stream.XMLEventFactory
+                                
                             
                         
                     
-
                 
             
             
                 org.apache.maven.plugins
                 maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            false
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
             
-
             
-              org.apache.maven.plugins
-              maven-dependency-plugin
-              3.0.0
-              
-                
-                  unpack
-                  package
-                  
-                    unpack
-                  
-                  
-                    
-                      
-                        org.nd4j
-                        jackson
-                        ${project.version}
-                        jar
-                        false
-                        ${project.build.directory}/classes/
-                        **/*.class,**/*.xml
-                      
-                    
-                  
-                
-              
+                org.apache.maven.plugins
+                maven-dependency-plugin
             
         
     
diff --git a/nd4j/nd4j-shade/pom.xml b/nd4j/nd4j-shade/pom.xml
index 927292b5f..11fc3bfdb 100644
--- a/nd4j/nd4j-shade/pom.xml
+++ b/nd4j/nd4j-shade/pom.xml
@@ -1,32 +1,39 @@
 
-
+
 
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        nd4j
         org.nd4j
+        nd4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-shade
     pom
+
     
         jackson
         protobuf
@@ -36,4 +43,113 @@
     
         true
     
+
+    
+        
+            
+                
+                    org.apache.maven.plugins
+                    maven-shade-plugin
+                    ${maven-shade-plugin.version}
+                    
+                        
+                            package
+                            
+                                shade
+                            
+                            
+                                
+                                    
+                                        reference.conf
+                                    
+                                    
+                                    
+                                
+                            
+                        
+                    
+                
+                
+                    org.apache.maven.plugins
+                    maven-jar-plugin
+                    
+                        true
+                    
+                    
+                        
+                            empty-javadoc-jar
+                            package
+                            
+                                jar
+                            
+                            
+                                javadoc
+                                ${basedir}/javadoc
+                            
+                        
+                        
+                            empty-sources-jar
+                            package
+                            
+                                jar
+                            
+                            
+                                sources
+                                ${basedir}/src
+                            
+                        
+                    
+                
+                
+                    org.apache.maven.plugins
+                    maven-dependency-plugin
+                    ${maven-dependency-plugin.version}
+                    
+                        
+                            unpack
+                            package
+                            
+                                unpack
+                            
+                            
+                                
+                                    
+                                        org.nd4j
+                                        ${project.artifactId}
+                                        ${project.version}
+                                        jar
+                                        false
+                                        ${project.build.directory}/classes/
+                                        
+                                        **/*.class,**/*.xml
+                                    
+                                
+                            
+                        
+                    
+                
+            
+        
+
+        
+            
+            
+                org.apache.maven.plugins
+                maven-jar-plugin
+                
+                    
+                        empty-javadoc-jar
+                        none
+                    
+                    
+                        empty-sources-jar
+                        none
+                    
+                
+            
+        
+    
 
diff --git a/nd4j/nd4j-shade/protobuf/pom.xml b/nd4j/nd4j-shade/protobuf/pom.xml
index 910003683..c1c0d39a2 100644
--- a/nd4j/nd4j-shade/protobuf/pom.xml
+++ b/nd4j/nd4j-shade/protobuf/pom.xml
@@ -1,13 +1,35 @@
 
+
+
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        nd4j-shade
         org.nd4j
+        nd4j-shade
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     protobuf
 
@@ -19,14 +41,14 @@
         
             com.google.protobuf
             protobuf-java
-            3.8.0
+            ${google.protobuf.version}
             
             true
         
         
             com.google.protobuf
             protobuf-java-util
-            3.8.0
+            ${google.protobuf.version}
             true
             
                 
@@ -38,26 +60,25 @@
         
             com.google.guava
             guava
-            26.0-android
+            ${guava.android.version}
             true
         
     
 
-
     
         
             custom-lifecycle
-
             
-                !skip.custom.lifecycle
+                
+                    !skip.custom.lifecycle
+                
             
             
                 
-
                     
                         org.apache.portals.jetspeed-2
                         jetspeed-mvn-maven-plugin
-                        2.3.1
+                        ${jetspeed-mvn-maven-plugin.version}
                         
                             
                                 compile-and-pack
@@ -71,12 +92,11 @@
                             
                                 org.apache.maven.shared
                                 maven-invoker
-                                2.2
+                                ${maven-invoker-plugin.version}
                             
                         
                         
                             
-
                                 
                                     create-shaded-jars
                                     @rootdir@/nd4j/nd4j-shade/protobuf/
@@ -85,12 +105,10 @@
                                         true
                                     
                                 
-
                             
                             create-shaded-jars
                         
                     
-
                 
             
         
@@ -98,12 +116,10 @@
 
     
         
-
             
             
                 com.lewisd
                 lint-maven-plugin
-                0.0.11
                 
                     
                         pom-lint
@@ -111,8 +127,6 @@
                     
                 
             
-
-
             
                         
@@ -181,69 +174,16 @@
                             org.nd4j.shade.protobuf.common
                         
                     
-
                 
             
             
                 org.apache.maven.plugins
                 maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
             
-
             
                 org.apache.maven.plugins
                 maven-dependency-plugin
-                3.0.0
-                
-                    
-                        unpack
-                        package
-                        
-                            unpack
-                        
-                        
-                            
-                                
-                                    org.nd4j
-                                    protobuf
-                                    ${project.version}
-                                    jar
-                                    false
-                                    ${project.build.directory}/classes/
-                                    **/*.class,**/*.xml
-                                
-                            
-                        
-                    
-                
             
         
     
-
-
\ No newline at end of file
+
diff --git a/nd4j/nd4j-tensorflow/pom.xml b/nd4j/nd4j-tensorflow/pom.xml
index fb859a95f..288d3e1ad 100644
--- a/nd4j/nd4j-tensorflow/pom.xml
+++ b/nd4j/nd4j-tensorflow/pom.xml
@@ -1,44 +1,53 @@
 
+
 
-
+
+
+    4.0.0
 
-
     
-        nd4j
         org.nd4j
+        nd4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     nd4j-tensorflow
 
     nd4j-tensorflow
 
+    
+        1.8
+        1.8
+    
+
     
         
             org.nd4j
-            nd4j-native-api
-            ${project.version}
+            nd4j-api
         
         
             org.nd4j
-            nd4j-api
-            ${project.version}
+            nd4j-native-api
         
         
             org.bytedeco
@@ -58,23 +67,9 @@
         
             junit
             junit
-            test
         
     
 
-    
-        
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    8
-                    8
-                
-            
-        
-    
-
     
         
             testresources
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/DummyDeAllocator.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/DummyDeAllocator.java
index 3a0acb0df..36fd694b7 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/DummyDeAllocator.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/DummyDeAllocator.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.tensorflow.conversion;
 
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/ProtoBufToFlatBufConversion.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/ProtoBufToFlatBufConversion.java
index ee53c37e2..0167645e9 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/ProtoBufToFlatBufConversion.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/ProtoBufToFlatBufConversion.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.tensorflow.conversion;
 
@@ -28,22 +32,6 @@ import java.io.File;
 import java.io.IOException;
 import java.util.*;
 
-/**
- * Conversion from models saved using the Google's Protocol Buffer
- * (https://github.com/protocolbuffers/protobuf) to flatbuffer format
- * (https://github.com/google/flatbuffers)
- *
- * This is especially useful for executing models using only the C++ libnd4j
- * library, as the protobuf loader is only available through the Java API
- *
- * It simply loads a file as a SameDiff and saves it as a flat file.
- *
- * There is a special case for BERT models where a pre-processing is necessary:
- * See nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/imports/TFGraphs/BERTGraphTest.java
- * for details
- *
- * @author Yves Quemener
- */
 public class ProtoBufToFlatBufConversion {
 
     /**
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorDataType.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorDataType.java
index 74d053547..08cb4610d 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorDataType.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorDataType.java
@@ -1,19 +1,22 @@
-/* ******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2019 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.tensorflow.conversion;
 
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorflowConversion.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorflowConversion.java
index ed33a2b8a..3ac06c695 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorflowConversion.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/TensorflowConversion.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.tensorflow.conversion;
 
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunner.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunner.java
index bfbdbd62d..27f71a63f 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunner.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.tensorflow.conversion.graphrunner;
 
@@ -43,15 +47,6 @@ import java.util.concurrent.TimeUnit;
 import org.bytedeco.tensorflow.*;
 import static org.bytedeco.tensorflow.global.tensorflow.*;
 
-/**
- * Runs a tensorflow session based on zero copy
- * {@link INDArray} memory replicated to tensorflow.
- *
- * {@link INDArray} is used to hold the memory
- * while tensorflow's c bindings are  used for running the graph.
- *
- * @author Adam Gibson
- */
 @Slf4j
 @NoArgsConstructor
 public class GraphRunner implements Closeable {
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunnerServiceProvider.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunnerServiceProvider.java
index 7459a40ea..6a1d59dc2 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunnerServiceProvider.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/GraphRunnerServiceProvider.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.nd4j.tensorflow.conversion.graphrunner;
 
 import org.nd4j.TFGraphRunnerService;
diff --git a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/SavedModelConfig.java b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/SavedModelConfig.java
index c13c5e1a6..af4afe46f 100644
--- a/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/SavedModelConfig.java
+++ b/nd4j/nd4j-tensorflow/src/main/java/org/nd4j/tensorflow/conversion/graphrunner/SavedModelConfig.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.tensorflow.conversion.graphrunner;
 
diff --git a/nd4j/nd4j-tensorflow/src/main/resources/META-INF/services/org.nd4j.TFGraphRunnerService b/nd4j/nd4j-tensorflow/src/main/resources/META-INF/services/org.nd4j.TFGraphRunnerService
index 1b038ee6c..3031cd0d7 100644
--- a/nd4j/nd4j-tensorflow/src/main/resources/META-INF/services/org.nd4j.TFGraphRunnerService
+++ b/nd4j/nd4j-tensorflow/src/main/resources/META-INF/services/org.nd4j.TFGraphRunnerService
@@ -1,3 +1,219 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
   ################################################################################
  # Copyright (c) 2020 Konduit K.K..
  #
diff --git a/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/__init__.py b/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/__init__.py
index e69de29bb..ecf2a1c25 100644
--- a/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/__init__.py
+++ b/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/__init__.py
@@ -0,0 +1,18 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
diff --git a/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/__init__.py b/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/__init__.py
index e69de29bb..ecf2a1c25 100644
--- a/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/__init__.py
+++ b/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/__init__.py
@@ -0,0 +1,18 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
diff --git a/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/casting.py b/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/casting.py
index b6123f557..edf3bf1ec 100644
--- a/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/casting.py
+++ b/nd4j/nd4j-tensorflow/src/main/resources/cast_graph/ai/konduit/casting.py
@@ -1,3 +1,21 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
 import tensorflow as tf
 
 dtypes = [tf.float16,tf.float32,tf.float64,tf.int8,tf.int16,tf.int32,tf.int64,tf.uint8,tf.uint16,tf.uint32,tf.uint64]
diff --git a/nd4j/nd4j-uberjar/pom.xml b/nd4j/nd4j-uberjar/pom.xml
deleted file mode 100644
index fa6bd84d0..000000000
--- a/nd4j/nd4j-uberjar/pom.xml
+++ /dev/null
@@ -1,311 +0,0 @@
-
-
-
-
-    
-        nd4j
-        org.nd4j
-        1.0.0-SNAPSHOT
-    
-    4.0.0
-    nd4j-uberjar
-
-
-    
-            
-              org.apache.maven.plugins
-              maven-shade-plugin
-              ${maven-shade-plugin.version}
-              
-                ${shadedClassifier}
-                true
-                
-                  
-                    *:*
-                    
-                      org/datanucleus/**
-                      META-INF/*.SF
-                      META-INF/*.DSA
-                      META-INF/*.RSA
-                    
-                  
-                
-                
-                  
-                    void
-                    void
-                  
-                
-                
-                  
-                  
-                  
-                
-                false
-              
-              
-                
-                  none
-                  
-                    shade
-                  
-                
-              
-            
-            
-              org.apache.maven.plugins
-              maven-enforcer-plugin
-              
-                
-                  package
-                  enforce-choice-of-nd4j-backend
-                  
-                    enforce
-                  
-                  
-                    ${skipBackendChoice}
-                    
-                      
-                        native,cuda,cuda-snapshots,native-snapshots
-                        false
-                      
-                    
-                    true
-                  
-                
-              
-            
-            
-                org.apache.maven.plugins
-                maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            false
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
-            
-    
-
-
-
-  
-  
-    default
-    
-      true
-    
-    
-      true
-    
-  
-  
-    uberjar
-    
-      
-        
-          org.apache.maven.plugins
-          maven-shade-plugin
-          
-            
-              package
-            
-          
-        
-        
-          com.lewisd
-            lint-maven-plugin
-              
-                false
-              
-        
-      
-    
-    
-   
-      
-        org.nd4j
-        jackson
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-jdbc-api
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-jdbc-mysql
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-aeron
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-kryo_2.11
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-common
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-api
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-parameter-server
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-parameter-server-client
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-parameter-server-model
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-parameter-server-status_2.11
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-parameter-server-rocksdb-storage
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-parameter-server-node_2.11
-        ${project.version}
-      
-    
-    
-      false
-    
-  
-
-
-
-
-
-
-
-
-
-  
-    native-snapshots
-    
-      
-        org.nd4j
-        nd4j-native
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-native-api
-        ${project.version}
-      
-    
-  
-  
-    cuda-snapshots
-    
-      
-        org.nd4j
-        nd4j-cuda-11.0
-        ${project.version}
-      
-    
-  
-
-
-  
-    native
-    
-      
-        org.nd4j
-        nd4j-native
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-native-platform
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-native-api
-        ${project.version}
-      
-    
-  
-  
-    cuda
-    
-      
-        org.nd4j
-        nd4j-cuda-11.0
-        ${project.version}
-      
-      
-        org.nd4j
-        nd4j-cuda-11.0-platform
-        ${project.version}
-      
-    
-  
-
-    
-      testresources
-    
-
-
-
-
diff --git a/nd4j/pom.xml b/nd4j/pom.xml
index 1442db0cc..170523f67 100644
--- a/nd4j/pom.xml
+++ b/nd4j/pom.xml
@@ -1,87 +1,93 @@
 
-
-
+
 
 
 
+    4.0.0
+
     
         org.deeplearning4j
         deeplearning4j
         1.0.0-SNAPSHOT
     
 
-    4.0.0
-
     org.nd4j
     nd4j
     pom
 
     nd4j
-    https://deeplearning4j.org
 
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        
-            agibsonccc
-            Adam Gibson
-            adam@skymind.io
-        
-    
 
     
         nd4j-shade
-        nd4j-jdbc
         nd4j-serde
         nd4j-common
         nd4j-backends
         nd4j-parameter-server-parent
-        nd4j-uberjar
         nd4j-tensorflow
-        nd4j-remote
+        nd4j-onnxruntime
         nd4j-common-tests
+        samediff-import
     
 
     
         
             
-                org.slf4j
-                slf4j-log4j12
-                ${slf4j.version}
+                ch.qos.logback
+                logback-classic
+                ${logback.version}
             
             
                 org.slf4j
                 slf4j-api
                 ${slf4j.version}
             
+            
+                ch.qos.logback
+                logback-core
+                ${logback.version}
+            
+            
+                org.slf4j
+                slf4j-log4j12
+                ${slf4j.version}
+            
             
                 junit
                 junit
                 ${junit.version}
                 test
             
+            
+                org.nd4j
+                nd4j-native-api
+                ${project.version}
+            
+            
+                org.nd4j
+                nd4j-api
+                ${project.version}
+            
         
     
 
@@ -90,7 +96,7 @@
         
             com.github.stephenc.findbugs
             findbugs-annotations
-            1.3.9-1
+            ${findbugs-annotations.version}
             provided
         
         
@@ -111,59 +117,19 @@
         
 
         
-
             
             
                 pl.project13.maven
                 git-commit-id-plugin
-                ${maven-git-commit-id-plugin.version}
-                
-                    
-                        
-                            revision
-                        
-                        generate-resources
-                    
-                
-                
-                    true
-                    
-                        ${project.basedir}/target/generated-sources/src/main/resources/ai/skymind/${project.groupId}-${project.artifactId}-git.properties
-                    
-                    
-                        true
-                    
-                
             
-
             
             
                 org.codehaus.mojo
                 build-helper-maven-plugin
-                ${maven-build-helper-plugin.version}
-                
-                    
-                        add-resource
-                        generate-resources
-                        
-                            add-resource
-                        
-                        
-                            
-                                
-                                    
-                                        ${project.basedir}/target/generated-sources/src/main/resources
-                                    
-                                
-                            
-                        
-                    
-                
             
-
             
                 maven-jar-plugin
-                ${maven-jar-plugin.version}
+                3.0.2
                 
                     
                         **/*.so
@@ -181,35 +147,10 @@
                     
                 
             
-            
-                maven-source-plugin
-                
-                    
-                        attach-sources
-                        
-                            jar
-                        
-                    
-                
-            
-            
-                maven-javadoc-plugin
-                
-                    true
-                
-                
-                    
-                        attach-javadocs
-                        
-                            jar
-                        
-                    
-                
-            
             
                 com.lewisd
                 lint-maven-plugin
-                0.0.11
+                ${maven-lint-plugin.version}
                 
                   true
                   
@@ -235,8 +176,8 @@
                 net.revelc.code.formatter
                 formatter-maven-plugin
                 2.12.1
+
                 
-                    ${session.executionRootDirectory}/contrib/formatter.xml
                     
                         nd4j-shade
                         nd4j-jdbc
@@ -251,7 +192,6 @@
                     
                 
             
-
             
                 org.apache.maven.plugins
                 maven-enforcer-plugin
@@ -283,87 +223,6 @@
                 
                     org.eclipse.m2e
                     lifecycle-mapping
-                    ${maven-lifecycle-mapping.version}
-                    
-                        
-                            
-                                
-                                    
-                                        com.lewisd
-                                        lint-maven-plugin
-                                        [0.0.11,)
-                                        
-                                            check
-                                        
-                                    
-                                    
-                                        
-                                    
-                                
-                            
-                        
-                    
-                
-
-                
-                    maven-javadoc-plugin
-                    ${maven-javadoc-plugin.version}
-                    
-                        -Xdoclint:none
-                        true
-                    
-                    
-                        
-                            attach-javadocs
-                            
-                                jar
-                            
-                        
-                    
-                
-
-                
-                    maven-source-plugin
-                    ${maven-source-plugin.version}
-                    
-                        
-                            attach-sources
-                            
-                                jar
-                            
-                        
-                    
-                
-                
-                    maven-release-plugin
-                    ${maven-release-plugin.version}
-                    
-                        forked-path
-                        
-                        -Psonatype-oss-release -DskipTests ${arguments}
-                        true
-                        false
-                    
-                
-                
-                    maven-gpg-plugin
-                    1.6
-                    
-                        ${gpg.passphrase}
-                    
-                    
-                        
-                            sign-artifacts
-                            verify
-                            
-                                sign
-                            
-                        
-                    
-                
-                
-                    maven-compiler-plugin
-                    ${maven-compiler-plugin.version}
                 
                 
                     org.apache.maven.plugins
@@ -393,7 +252,6 @@
         
             testresources
         
-
         
             nd4j-testresources
             
@@ -409,15 +267,4 @@
             
         
     
-
-    
-        
-            
-            
-                org.codehaus.mojo
-                cobertura-maven-plugin
-                2.7
-            
-        
-    
 
diff --git a/nd4j/samediff-import/pom.xml b/nd4j/samediff-import/pom.xml
new file mode 100644
index 000000000..3e38007df
--- /dev/null
+++ b/nd4j/samediff-import/pom.xml
@@ -0,0 +1,241 @@
+
+
+
+
+  4.0.0
+
+  org.nd4j
+  samediff-import
+  1.0.0-SNAPSHOT
+
+  samediff-import
+  pom
+
+
+  
+    
+      testresources
+    
+  
+
+  
+    samediff-import-api
+    samediff-import-onnx
+    samediff-import-tensorflow
+  
+
+  
+    1.4.30
+    1.8
+    true
+    4.12
+    5.4.2
+    UTF-8
+    1.8
+    1.8
+    1.8
+    3.1.1
+
+  
+
+
+  
+
+    
+      junit
+      junit
+      4.12
+      test
+    
+    
+    
+      org.junit.jupiter
+      junit-jupiter-api
+      ${junit-jupiter.version}
+      test
+    
+    
+      org.junit.jupiter
+      junit-jupiter-engine
+      ${junit-jupiter.version}
+      test
+    
+
+    
+      org.jetbrains.kotlin
+      kotlin-stdlib-jdk8
+      ${kotlin.version}
+    
+    
+      org.jetbrains.kotlin
+      kotlin-test
+      ${kotlin.version}
+      test
+    
+  
+
+
+
+  
+    
+      
+        
+          org.projectlombok
+          lombok-maven-plugin
+          1.18.12.0
+          
+            
+              delombok
+              generate-sources
+              
+                delombok
+              
+              
+                
+                  skip
+                
+                true
+              
+            
+            
+              test-delombok
+              generate-test-sources
+              
+                testDelombok
+              
+              
+                true
+              
+            
+          
+        
+
+
+        
+          org.codehaus.mojo
+          build-helper-maven-plugin
+          3.0.0
+          
+            
+              add-source
+              generate-sources
+              add-source
+              
+                
+                  src/main/stubs
+                
+              
+            
+          
+        
+
+
+        
+          org.jetbrains.kotlin
+          kotlin-maven-plugin
+          ${kotlin.version}
+          
+            
+              -Xjsr305=strict
+            
+            
+              spring
+              jpa
+            
+          
+          
+            
+              org.jetbrains.kotlin
+              kotlin-maven-allopen
+              1.4.30-M1
+            
+            
+              org.jetbrains.kotlin
+              kotlin-maven-noarg
+              1.4.30-M1
+            
+          
+          
+            
+              compile
+               compile 
+              
+                
+                  ${project.basedir}/src/main/stubs
+                  ${project.basedir}/src/main/kotlin
+                  ${project.basedir}/src/main/java
+                  ${project.basedir}/src/main/ops
+                
+              
+            
+            
+              test-compile
+               test-compile 
+              
+                
+                  ${project.basedir}/src/test/stubs
+                  ${project.basedir}/src/test/kotlin
+                  ${project.basedir}/src/test/java
+                  ${project.basedir}/src/test/ops
+                
+              
+            
+          
+        
+
+        
+        
+          org.apache.maven.plugins
+          maven-compiler-plugin
+          3.8.1
+          
+            
+            
+              default-compile
+              none
+            
+            
+            
+              default-testCompile
+              none
+            
+            
+              java-compile
+              compile
+               compile 
+            
+            
+              java-test-compile
+              test-compile
+               testCompile 
+            
+          
+          
+            ${java.version}
+            ${java.version}
+          
+        
+      
+    
+  
+
+
diff --git a/nd4j/samediff-import/samediff-import-api/pom.xml b/nd4j/samediff-import/samediff-import-api/pom.xml
new file mode 100644
index 000000000..80f113e9c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/pom.xml
@@ -0,0 +1,159 @@
+
+
+
+
+
+  4.0.0
+
+  samediff-import-api
+
+  
+    org.nd4j
+    samediff-import
+    1.0.0-SNAPSHOT
+  
+
+  samediff-import-api
+
+  
+    UTF-8
+    2.5
+    3.6
+    1.7
+    1.18.8
+    1.1.7
+    3.8.0
+    4.8.90
+    4.1
+  
+
+  
+    
+      
+        org.jetbrains.kotlin
+        kotlin-maven-plugin
+      
+      
+        org.apache.maven.plugins
+        maven-compiler-plugin
+      
+    
+  
+
+  
+    
+      io.github.classgraph
+      classgraph
+      ${classgraph.version}
+    
+
+    
+      org.apache.commons
+      commons-collections4
+      ${commons-collections4.version}
+    
+    
+      com.google.protobuf
+      protobuf-java
+      ${protobuf.version}
+    
+    
+      org.slf4j
+      slf4j-api
+      1.7.28
+    
+
+    
+      ch.qos.logback
+      logback-classic
+      ${logback.version}
+    
+
+    
+      commons-io
+      commons-io
+      ${commonsio.version}
+    
+
+    
+      org.projectlombok
+      lombok
+      ${lombok.version}
+    
+
+    
+      org.apache.commons
+      commons-lang3
+      ${commons.lang.version}
+    
+
+    
+      com.squareup
+      javapoet
+      1.11.1
+    
+
+
+
+
+    
+      com.fasterxml.jackson.module
+      jackson-module-kotlin
+      2.9.9
+    
+
+
+
+    
+      org.nd4j
+      nd4j-tensorflow
+      ${project.version}
+    
+
+    
+      org.nd4j
+      nd4j-api
+      ${project.version}
+    
+    
+      org.nd4j
+      nd4j-common
+      ${project.version}
+    
+
+    
+      org.nd4j
+      nd4j-native
+      ${project.version}
+    
+
+    
+      org.nd4j
+      nd4j-onnxruntime
+      ${project.version}
+    
+
+
+  
+
+
+
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/FrameworkImporter.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/FrameworkImporter.kt
new file mode 100644
index 000000000..8c0b66810
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/FrameworkImporter.kt
@@ -0,0 +1,31 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport
+
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.linalg.api.ndarray.INDArray
+
+
+interface FrameworkImporter {
+
+    fun runImport(fileName: String, dynamicVariables: Map = emptyMap()): SameDiff
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/IRProtobufExtensions.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/IRProtobufExtensions.kt
new file mode 100644
index 000000000..e9a19199c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/IRProtobufExtensions.kt
@@ -0,0 +1,640 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport
+
+import org.bytedeco.javacpp.indexer.Bfloat16ArrayIndexer
+import org.bytedeco.javacpp.indexer.HalfIndexer
+import org.nd4j.autodiff.functions.DifferentialFunction
+import org.nd4j.autodiff.samediff.SDVariable
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.autodiff.samediff.VariableType
+import org.nd4j.common.io.ReflectionUtils
+import org.nd4j.common.util.ArrayUtil
+import org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.nativeblas.Nd4jCpu.FLOAT32
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.shade.protobuf.ByteString
+import java.lang.IllegalArgumentException
+import java.nio.ByteBuffer
+import java.nio.charset.Charset
+import java.util.*
+import kotlin.collections.ArrayList
+import java.lang.reflect.Field
+import java.nio.Buffer
+
+
+fun isOutputFrameworkAttributeName(name: String, opDescriptor: OpNamespace.OpDescriptor): Boolean {
+    return opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.argType != OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+            && argDescriptor.argType != OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR
+    }
+        .map { inputArg -> inputArg.name }.contains(name)
+}
+
+fun isNd4jTensorName(name: String, opDescriptor: OpNamespace.OpDescriptor): Boolean {
+    return opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+        .map { inputArg -> inputArg.name }
+        .contains(name)
+}
+
+fun argDescriptorType(name: String, opDescriptor: OpNamespace.OpDescriptor): OpNamespace.ArgDescriptor.ArgType {
+    return opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.name == name }[0].argType
+}
+
+fun OpNamespace.OpDescriptorList.findOp(opName: String): OpNamespace.OpDescriptor {
+    val opRet = this.opListList.firstOrNull {opDescriptor -> opDescriptor.name == opName }
+    if(opRet == null) {
+        throw IllegalArgumentException("Op name $opName not found!")
+    }
+    return opRet
+}
+
+fun ArgDescriptor(block: OpNamespace.ArgDescriptor.Builder.() -> Unit): OpNamespace.ArgDescriptor {
+    return OpNamespace.ArgDescriptor.newBuilder()
+        .apply(block).build()
+}
+
+fun NameSpaceTensor(block: TensorNamespace.TensorProto.Builder.() -> Unit): TensorNamespace.TensorProto {
+    return TensorNamespace.TensorProto.newBuilder()
+        .apply(block).build()
+}
+
+fun TensorNamespace.TensorProto.Builder.RawData(rawData: ByteArray) {
+    this.rawData = ByteString.copyFrom(rawData)
+}
+
+fun TensorNamespace.TensorProto.Builder.IntData(intData: List) {
+    this.addAllInt32Data(intData)
+}
+
+fun TensorNamespace.TensorProto.Builder.FloatData(floatData: List) {
+    this.addAllFloatData(floatData)
+}
+
+fun TensorNamespace.TensorProto.Builder.DoubleData(doubleData: List) {
+    this.addAllDoubleData(doubleData)
+}
+
+fun TensorNamespace.TensorProto.Builder.StringData(stringData: List) {
+    this.addAllStringData(stringData.map { input -> ByteString.copyFrom(input.toByteArray(Charset.defaultCharset())) })
+}
+
+fun TensorNamespace.TensorProto.Builder.Int64Data(intData: List) {
+    this.addAllInt64Data(intData)
+}
+
+fun TensorNamespace.TensorProto.Builder.Dims(shape: List) {
+    shape.forEach { this.addDims(it) }
+}
+
+fun convertNd4jDataTypeFromNameSpaceTensorDataType(dataType: TensorNamespace.DataType): DataType {
+    return when(dataType) {
+        TensorNamespace.DataType.UINT32 -> return DataType.UINT32
+        TensorNamespace.DataType.UINT8 -> return DataType.UINT8
+        TensorNamespace.DataType.INT64 -> return DataType.INT64
+        TensorNamespace.DataType.INT16 -> return DataType.INT16
+        TensorNamespace.DataType.UINT64 ->  return DataType.UINT64
+        TensorNamespace.DataType.DOUBLE ->  return DataType.DOUBLE
+        TensorNamespace.DataType.FLOAT ->  return DataType.FLOAT
+        TensorNamespace.DataType.FLOAT16 ->  return DataType.FLOAT16
+        TensorNamespace.DataType.FLOAT16 -> return DataType.FLOAT16
+        TensorNamespace.DataType.INT32 ->  return DataType.INT32
+        TensorNamespace.DataType.STRING ->  return DataType.UTF8
+        TensorNamespace.DataType.BOOL -> return DataType.BOOL
+        TensorNamespace.DataType.BFLOAT16 -> return DataType.BFLOAT16
+        TensorNamespace.DataType.INT8 -> return DataType.INT8
+        TensorNamespace.DataType.UINT16 -> return DataType.UINT16
+        TensorNamespace.DataType.UNDEFINED, TensorNamespace.DataType.UNRECOGNIZED -> return DataType.UNKNOWN
+        else -> {
+            throw IllegalArgumentException("Illegal data type $dataType")
+        }
+    }
+}
+
+fun convertNameSpaceTensorDataTypeFromNd4jDataType(dataType: DataType): TensorNamespace.DataType {
+    return when(dataType) {
+        DataType.UINT32 ->  return TensorNamespace.DataType.UINT32
+        DataType.INT64, DataType.LONG ->  return TensorNamespace.DataType.INT64
+        DataType.UINT64 ->  return TensorNamespace.DataType.UINT64
+        DataType.DOUBLE ->  return TensorNamespace.DataType.DOUBLE
+        DataType.FLOAT ->  return TensorNamespace.DataType.FLOAT
+        DataType.FLOAT16, DataType.HALF ->  return TensorNamespace.DataType.FLOAT16
+        DataType.HALF -> return TensorNamespace.DataType.FLOAT16
+        DataType.INT32, DataType.INT ->  return TensorNamespace.DataType.INT32
+        DataType.UTF8 ->  return TensorNamespace.DataType.STRING
+        DataType.BOOL -> return TensorNamespace.DataType.BOOL
+        DataType.BFLOAT16 -> return TensorNamespace.DataType.BFLOAT16
+        DataType.SHORT, DataType.INT8 -> return TensorNamespace.DataType.INT8
+        DataType.UINT16 -> return TensorNamespace.DataType.UINT16
+        DataType.BYTE, DataType.UINT8, DataType.UBYTE -> return TensorNamespace.DataType.UINT8
+        else -> {
+            throw IllegalArgumentException("Illegal data type $dataType")
+        }
+    }
+}
+
+fun ndarrayFromNameSpaceTensor(inputTensor: TensorNamespace.TensorProto): INDArray {
+    val dtype = convertNd4jDataTypeFromNameSpaceTensorDataType(TensorNamespace.DataType.values()[inputTensor.dataType])
+    val shape = inputTensor.dimsList.toLongArray()
+    val totalLen = ArrayUtil.prod(*shape)
+    //note for all cases here scalars can be either zero shape with 1 element or rank >= 1 with 1 element
+    when(dtype) {
+        DataType.FLOAT -> {
+            val floatArray = inputTensor.floatDataList.toFloatArray()
+            if(floatArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else  if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(floatArray[0])
+            } else if(totalLen != floatArray.size) {
+                //broadcast case
+                if(floatArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,floatArray[0])
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${floatArray.size}")
+            }
+
+            val dataBuffer = Nd4j.createBuffer(floatArray)
+            return Nd4j.create(dataBuffer).reshape(*shape)
+        }
+
+        DataType.DOUBLE -> {
+            val doubleArray = inputTensor.doubleDataList.toDoubleArray()
+            if(doubleArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else  if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(doubleArray[0])
+            }
+            else if(totalLen != doubleArray.size) {
+                //broadcast case
+                if(doubleArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,doubleArray[0])
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${doubleArray.size}")
+
+            }
+
+            val dataBuffer = Nd4j.createBuffer(doubleArray)
+            return Nd4j.create(dataBuffer).reshape(*shape)
+        }
+
+        DataType.FLOAT16,DataType.HALF -> {
+            val halfArray = inputTensor.halfValList.toIntArray()
+            if(halfArray.isEmpty()) {
+                return loadDataBufferFromRawData(inputTensor)
+            } else if(totalLen <= 1 && shape.isEmpty()) {
+                val convertedFloat = HalfIndexer.toFloat(halfArray[0])
+                return Nd4j.scalar(convertedFloat).castTo(DataType.FLOAT16)
+            } else if(totalLen != halfArray.size) {
+                //broadcast case
+                if(halfArray.size == 1) {
+                    val convertedFloat = HalfIndexer.toFloat(halfArray[0])
+                    return Nd4j.valueArrayOf(shape,convertedFloat).castTo(DataType.FLOAT16)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${halfArray.size}")
+            }
+
+            val dataBuffer = Nd4j.createBuffer(DataType.FLOAT,halfArray.size.toLong(),false)
+
+            for(i in 0 until halfArray.size) {
+                dataBuffer.put(i.toLong(),HalfIndexer.toFloat(halfArray[i]))
+            }
+
+            return Nd4j.create(dataBuffer).reshape(*shape).castTo(DataType.FLOAT16)
+        }
+
+        DataType.BFLOAT16 -> {
+            val halfArray = inputTensor.halfValList.toIntArray()
+            if(halfArray.isEmpty()) {
+                return loadDataBufferFromRawData(inputTensor)
+            } else if(totalLen <= 1 && shape.isEmpty()) {
+                val convertedFloat = Bfloat16ArrayIndexer.toFloat(halfArray[0])
+                return Nd4j.scalar(convertedFloat).castTo(DataType.BFLOAT16)
+            } else if(totalLen != halfArray.size) {
+                //broadcast case
+                if(halfArray.size == 1) {
+                    val convertedFloat = Bfloat16ArrayIndexer.toFloat(halfArray[0])
+                    return Nd4j.valueArrayOf(shape,convertedFloat).castTo(DataType.BFLOAT16)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${halfArray.size}")
+            }
+
+            val dataBuffer = Nd4j.createBuffer(DataType.FLOAT,halfArray.size.toLong(),false)
+
+            for(i in 0 until halfArray.size) {
+                dataBuffer.put(i.toLong(),Bfloat16ArrayIndexer.toFloat(halfArray[i]))
+            }
+
+            return Nd4j.create(dataBuffer).reshape(*shape).castTo(DataType.BFLOAT16)
+        }
+
+
+        DataType.INT64 -> {
+            val longArray = inputTensor.int64DataList.toLongArray()
+            if(longArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+
+            else  if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(longArray[0])
+            } else   if(totalLen != longArray.size) {
+                //broadcast case
+                if(longArray.size == 1) {
+                    return Nd4j.zeros(*shape).addi(longArray[0]).castTo(DataType.INT64)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${longArray.size}")
+            }
+
+            val dataBuffer = Nd4j.createBuffer(longArray)
+            return Nd4j.create(dataBuffer).reshape(*shape)
+        }
+
+        DataType.INT32 -> {
+            val intArray = inputTensor.int32DataList.toIntArray()
+            if(intArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(intArray[0])
+            }
+            else if(totalLen != intArray.size) {
+                //broadcast case
+                if(intArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,intArray[0])
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${intArray.size}")
+            }
+            val dataBuffer = Nd4j.createBuffer(intArray)
+            return Nd4j.create(dataBuffer).reshape(*shape)
+        }
+
+        DataType.INT16 -> {
+            val intArray = inputTensor.int32DataList.toIntArray()
+            if(intArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(intArray[0]).castTo(DataType.INT16)
+            }
+            else if(totalLen != intArray.size) {
+                //broadcast case
+                if(intArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,intArray[0]).castTo(DataType.INT16)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${intArray.size}")
+            }
+            val dataBuffer = Nd4j.createBuffer(intArray)
+            return Nd4j.create(dataBuffer).reshape(*shape).castTo(DataType.INT16)
+        }
+
+        DataType.INT8 -> {
+            val intArray = inputTensor.int32DataList.toIntArray()
+            if(intArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(intArray[0]).castTo(DataType.INT8)
+            }
+            else if(totalLen != intArray.size) {
+                //broadcast case
+                if(intArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,intArray[0]).castTo(DataType.INT8)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${intArray.size}")
+            }
+            val dataBuffer = Nd4j.createBuffer(intArray)
+            return Nd4j.create(dataBuffer).reshape(*shape).castTo(DataType.INT8)
+        }
+
+
+        DataType.UINT8 -> {
+            val intArray = inputTensor.int32DataList.toIntArray()
+            if(intArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(intArray[0]).castTo(DataType.UINT8)
+            }
+            else if(totalLen != intArray.size) {
+                //broadcast case
+                if(intArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,intArray[0]).castTo(DataType.UINT8)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${intArray.size}")
+            }
+            val dataBuffer = Nd4j.createBuffer(intArray)
+            return Nd4j.create(dataBuffer).reshape(*shape).castTo(DataType.UINT8)
+        }
+
+        DataType.UINT16 -> {
+            val intArray = inputTensor.int32DataList.toIntArray()
+            if(intArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(intArray[0]).castTo(DataType.UINT16)
+            }
+            else if(totalLen != intArray.size) {
+                //broadcast case
+                if(intArray.size == 1) {
+                    return Nd4j.valueArrayOf(shape,intArray[0]).castTo(DataType.UINT16)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${intArray.size}")
+            }
+            val dataBuffer = Nd4j.createBuffer(intArray)
+            return Nd4j.create(dataBuffer).reshape(*shape).castTo(DataType.UINT16)
+        }
+
+        DataType.BOOL -> {
+            val intArray = inputTensor.boolValList.toBooleanArray()
+            if(intArray.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(intArray[0])
+            }
+            else if(totalLen != intArray.size) {
+                //broadcast case
+                if(intArray.size == 1) {
+                    val booleanList = ArrayList()
+                    for(i in 0 until totalLen) {
+                        booleanList.add(intArray[0])
+                    }
+                    return Nd4j.create(booleanList.toBooleanArray()).reshape(*shape)
+                }
+                else
+                    throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${intArray.size}")
+            }
+
+            return Nd4j.create(intArray).reshape(*shape)
+        }
+
+        DataType.UTF8 -> {
+            val stringList = inputTensor.stringDataList.map { input -> input.toStringUtf8() }
+            if(stringList.isEmpty())
+                return loadDataBufferFromRawData(inputTensor)
+            else  if(totalLen <= 1 && shape.isEmpty()) {
+                return Nd4j.scalar(stringList[0])
+            } else if(totalLen != stringList.size) {
+                //broadcast case
+                if(stringList.size == 1) {
+                    val newStringList = ArrayList()
+                    for(i in 0 until totalLen) {
+                        newStringList.add(stringList[0])
+                    }
+
+                    return Nd4j.create(newStringList).reshape(*shape)
+                }
+                throw IllegalArgumentException("Shape of ${Arrays.toString(shape)} did not match length ${stringList.size}")
+            }
+            return Nd4j.create(stringList).reshape(*shape)
+        }
+
+        DataType.UNKNOWN -> {
+            val ret = Nd4j.empty()
+            return ret
+        }
+
+        else -> {
+            return loadDataBufferFromRawData(inputTensor)
+        }
+
+    }
+
+    throw IllegalArgumentException("Illegal type found for conversion ${dtype}")
+}
+
+fun loadDataBufferFromRawData(inputTensor: TensorNamespace.TensorProto): INDArray {
+    val shape = inputTensor.dimsList.toLongArray()
+    val dtype = convertNd4jDataTypeFromNameSpaceTensorDataType(TensorNamespace.DataType.values()[inputTensor.dataType])
+    val byteArray = inputTensor.rawData.toByteArray()
+    //note: scalar can be zero
+    val totalLen = ArrayUtil.prod(*shape)
+    if(totalLen < 1) {
+        if(shape.isNotEmpty()) {
+            return Nd4j.zeros(*shape).castTo(dtype)
+        }
+        else
+            return Nd4j.empty(dtype)
+    }
+
+    val byteBuffer = ByteBuffer.allocateDirect(totalLen * dtype.width())
+    byteBuffer.put(byteArray)
+    //See: https://github.com/apache/felix/pull/114
+    val castBuffer = byteBuffer as Buffer
+    castBuffer.rewind()
+    val rawDataBuffer = Nd4j.createBuffer(byteBuffer, dtype, totalLen, 0)
+    if(shape.isNotEmpty() && totalLen > 0) {
+        if(rawDataBuffer.length() > 1)
+            return Nd4j.create(rawDataBuffer).reshape('c',*shape)
+        return Nd4j.empty(dtype)
+    }
+    return Nd4j.create(rawDataBuffer)
+}
+
+fun nameSpaceTensorFromNDarray(ndarray: INDArray): TensorNamespace.TensorProto {
+    val nameSpaceDataType = convertNameSpaceTensorDataTypeFromNd4jDataType(ndarray.dataType()).ordinal
+    when(ndarray.dataType()) {
+        DataType.INT64 -> {
+            return NameSpaceTensor {
+                dataType = nameSpaceDataType
+                Int64Data(ndarray.data().asLong().toList())
+                Dims(ndarray.shape().asList())
+            }
+        }
+
+        DataType.INT32 -> {
+            return NameSpaceTensor {
+                dataType = nameSpaceDataType
+                IntData(ndarray.data().asInt().toList())
+                Dims(ndarray.shape().asList())
+            }
+        }
+
+        DataType.DOUBLE -> {
+            return NameSpaceTensor {
+                dataType = nameSpaceDataType
+                DoubleData(ndarray.data().asDouble().toList())
+                Dims(ndarray.shape().asList())
+            }
+        }
+
+        DataType.FLOAT -> {
+            return NameSpaceTensor {
+                dataType = nameSpaceDataType
+                FloatData(ndarray.data().asFloat().toList())
+                Dims(ndarray.shape().asList())
+            }
+        }
+
+        DataType.UTF8 -> {
+            val stringList = ArrayList()
+            for(i in 0 until ndarray.length()) {
+                stringList.add(ndarray.getString(i))
+            }
+
+            return NameSpaceTensor {
+                dataType = nameSpaceDataType
+                StringData(stringList)
+                Dims(ndarray.shape().asList())
+            }
+        }
+
+        else -> {
+            throw IllegalArgumentException("Illegal data type ${ndarray.dataType()}")
+        }
+    }
+
+}
+
+fun lookupIndexForArgDescriptor(
+    argDescriptorName: String,
+    opDescriptorName: String,
+    argDescriptorType: OpNamespace.ArgDescriptor.ArgType
+): Int {
+    val op =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(opDescriptorName)
+    val names = op.argDescriptorList.map { argDescriptor -> argDescriptor.name }
+    if(!names.contains(argDescriptorName)) {
+        throw IllegalArgumentException("Invalid name $argDescriptorName for op $opDescriptorName passed in. $argDescriptorName not found in $opDescriptorName. Available names were ${names}")
+    }
+    val ret =  op
+        .argDescriptorList.firstOrNull { argDescriptor -> argDescriptor.name == argDescriptorName &&
+                argDescriptor.argType == argDescriptorType }
+    if(ret == null)
+        return -1
+    else return ret.argIndex
+}
+
+fun createVariable(varName: String, varType: VariableType, sameDiff: SameDiff, shape: List, dataType: DataType): SDVariable {
+    return SDVariable(varName, varType, sameDiff, shape.toLongArray(), dataType)
+}
+
+fun descriptorsForName(
+    name: String,
+    argDescriptors: Collection): List {
+    return argDescriptors.filter { argDescriptor -> argDescriptor.name == name }!!
+}
+
+fun setNameForFunctionFromDescriptors(argDescriptors: Collection, func: DifferentialFunction) {
+    val fields = ArrayList()
+    fields.addAll(func.javaClass.declaredFields.toList())
+    fields.addAll(func.javaClass.superclass.declaredFields.toList())
+    fields.forEach { field ->
+        if(hasArgDescriptorWithNameAndType(argDescriptors, field.name)) {
+            val descriptors = descriptorsForName(field.name, argDescriptors)
+            descriptors.forEach { descriptor ->
+                when(descriptor.argType) {
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> {
+                        if(Boolean.javaClass.isAssignableFrom(field.type) || Boolean::class.javaPrimitiveType!!.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, descriptor.boolValue)
+                        }
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.STRING -> {
+                        if(field.type.isAssignableFrom(String::class.java)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, descriptor.stringValue)
+                        }
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.INT64, OpNamespace.ArgDescriptor.ArgType.INT32 -> {
+                        if(Int.javaClass.isAssignableFrom(field.type) || Int::class.javaPrimitiveType!!.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, descriptor.int64Value.toInt())
+                        }
+
+                        if(Long.javaClass.isAssignableFrom(field.type) || Long::class.javaPrimitiveType!!.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, descriptor.int64Value)
+                        }
+
+                        if(DataType::javaClass.javaClass.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, DataType.fromInt(descriptor.int64Value.toInt()))
+                        }
+
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.FLOAT, OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
+                        if(Float.javaClass.isAssignableFrom(field.type) || Float::class.javaPrimitiveType!!.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, descriptor.doubleValue.toFloat())
+                        }
+
+                        if(Double.javaClass.isAssignableFrom(field.type) || Double::class.javaPrimitiveType!!.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(field, func, descriptor.doubleValue)
+                        }
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.DATA_TYPE -> {
+                        if(DataType::class.java.isAssignableFrom(field.type)) {
+                            field.isAccessible = true
+                            ReflectionUtils.setField(
+                                field,
+                                func,
+                                convertNd4jDataTypeFromNameSpaceTensorDataType(descriptor.dataTypeValue)
+                            )
+                        }
+                    }
+
+                }
+
+            }
+
+        }
+    }
+
+}
+
+fun hasArgDescriptorWithNameAndType(argDescriptors: Collection, name: String): Boolean {
+    return argDescriptors.map { input -> input.name}.contains(name)
+}
+
+
+/**
+ * @return The specified name without the leading "^" character (if any) that appears for control dependencies
+ */
+fun stripControl(name: String): String {
+    return if (name.startsWith("^")) {
+        name.substring(1)
+    } else name
+}
+
+/**
+ * Remove the ":1" etc suffix for a variable name to get the op name
+ *
+ * @param varName Variable name
+ * @return Variable name without any number suffix
+ */
+fun stripVarSuffix(varName: String): String {
+    if (varName.matches(regex = Regex(".*:\\d+"))) {
+        val idx = varName.lastIndexOf(':')
+        return varName.substring(0, idx)
+    }
+    return varName
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraph.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraph.kt
new file mode 100644
index 000000000..7a13250c4
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraph.kt
@@ -0,0 +1,722 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport
+
+import org.apache.commons.collections4.set.ListOrderedSet
+import org.apache.commons.io.FileUtils
+import org.nd4j.autodiff.functions.DifferentialFunction
+import org.nd4j.autodiff.samediff.SDVariable
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.autodiff.samediff.VariableType
+import org.nd4j.autodiff.samediff.internal.SameDiffOp
+import org.nd4j.autodiff.samediff.internal.Variable
+
+import org.nd4j.common.base.Preconditions
+import org.nd4j.common.io.ReflectionUtils
+import org.nd4j.imports.converters.DifferentialFunctionClassHolder
+import org.nd4j.imports.graphmapper.OpImportFilter
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.api.ops.DynamicCustomOp
+import org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.registry.OpRegistryHolder
+import org.nd4j.samediff.frameworkimport.runner.DefaultImportRunner
+import org.nd4j.samediff.frameworkimport.runner.ImportRunner
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import java.io.File
+import java.lang.IllegalArgumentException
+import java.util.*
+import kotlin.collections.ArrayList
+import kotlin.collections.HashMap
+import kotlin.collections.HashSet
+
+
+open class ImportGraph  {
+
+
+    fun  importInfoForEachNodeInGraph (
+        graph: IRGraph,
+        dynamicVariables: MutableMap)
+            :  Map,OpNamespace.OpDescriptor>> {
+
+        val opMappingRegistry = OpRegistryHolder.opMappingRegistryForName(graph.frameworkName())
+
+        val ret = HashMap,OpNamespace.OpDescriptor>>()
+
+        graph.nodeList().forEach { node ->
+            val name = node.nodeName()
+            val opMappingProcess =  OpRegistryHolder.lookupOpMappingProcess<
+                    GRAPH_TYPE,
+                    NODE_TYPE,
+                    OP_DEF_TYPE,
+                    TENSOR_TYPE,
+                    DATA_TYPE,
+                    ATTRIBUTE_TYPE,
+                    ATTRIBUTE_VALUE_TYPE>(inputFrameworkOpName = node.opName(), inputFrameworkName = graph.frameworkName())
+            val opDefLookup = opMappingRegistry.lookupInputFrameworkOpDef(node.opName())
+            val mappingContext = graph.createMappingContext(
+                opDef = opDefLookup,
+                node = graph.nodeByName(node.nodeName()),
+                dynamicVariables = dynamicVariables
+            )
+
+            val applied = opMappingProcess.applyProcess(mappingContext)
+            ret[name] = applied
+        }
+
+        return ret
+    }
+
+    /**
+     * @return True if the specified name represents a control dependency (starts with "^")
+     */
+    fun isControlDep(name: String): Boolean {
+        return name.startsWith("^")
+    }
+
+    /**
+     * @return The specified name without the leading "^" character (if any) that appears for control dependencies
+     */
+    fun stripControl(name: String): String {
+        return if (name.startsWith("^")) {
+            name.substring(1)
+        } else name
+    }
+
+
+
+    inner class FuncContextResult
+        (dfInstance: DifferentialFunction,mappingContext: MappingContext,
+         tensorInputMappings: MutableMap) {
+        val dfInstance = dfInstance
+        val mappingContext = mappingContext
+        val tensorInputMappings = tensorInputMappings
+    }
+
+
+    fun createFuncAndContext(opName: String,
+                             irGraph: IRGraph,
+                             opMappingRegistry: OpMappingRegistry,
+                             sameDiff: SameDiff,
+                             nodeName: String,
+                             dynamicVariables: MutableMap): FuncContextResult {
+
+
+        val opMappingProcess =  opMappingRegistry.lookupOpMappingProcess(opName)
+        val nd4jOpName = opMappingProcess.opName()
+
+        val dfInstance = if( DifferentialFunctionClassHolder.getInstance()
+                .hasName(nd4jOpName)) DifferentialFunctionClassHolder
+            .getInstance()
+            .getInstance(nd4jOpName)
+        else DynamicCustomOp.builder(nd4jOpName).build()
+        Preconditions.checkState(dfInstance != null, "Could not find class for input framework Ops: %s", opName)
+        var df: DifferentialFunction
+        df = try {
+            dfInstance.javaClass.newInstance()
+        } catch (t: Throwable) {
+            //Should never happen because function was already created via no-arg constructor earlier
+            throw RuntimeException(t)
+        }
+
+        df.sameDiff = sameDiff
+        df.ownName = nodeName
+
+        /**
+         * Note that ndarrays actually need to be reordered here when input indices aren't equal to what's in the original framework.
+         * We should potentially run the import process sooner and compute the input name
+         * ordering from that instead.
+         */
+        val opDefLookup = opMappingRegistry.lookupInputFrameworkOpDef(opName)
+        val mappingContext = irGraph.createMappingContext(
+            opDef = opDefLookup,
+            node = irGraph.nodeByName(nodeName),
+            dynamicVariables = dynamicVariables
+        )
+
+        val tensorInputMappings = HashMap()
+        opMappingProcess.tensorMappingRules().forEach { tensorMappingRule ->
+            tensorInputMappings.putAll(tensorMappingRule.inputArgumentMappings())
+        }
+
+        return FuncContextResult(df, mappingContext, tensorInputMappings)
+    }
+
+
+    /**
+     * Import a Graph based on a {@link IRGraph} model from a GraphDef, with optional import overrides
+     *
+     * @param irGraph       IRGraph reflecting the needed model import
+     * @param importOverride Optional import override for specific ops, keyed by op name
+     * @param opFilter       Optional filter - ops to exclude/ignore
+     * @return Imported model
+     */
+    fun importGraph(irGraph: IRGraph,
+                    importOverride: Map?>?,
+                    opFilter: OpImportFilter?,
+                    dynamicVariables: MutableMap = HashMap(),
+                    opMappingRegistry:
+                    OpMappingRegistry): SameDiff {
+
+
+        /*
+        First, build an in-memory representation of the graph that allows us to build the graph incrementally
+        If we can build the graph incrementally, we can make sure that the added variables are set up with the correct
+        datatype and (once implemented) greedy shape inference
+         */
+        val variablesAdded: MutableList = ArrayList()
+        val opsAdded: MutableList = ArrayList()
+        val opsImported: MutableList = ArrayList()
+        val opsRemoved: MutableList = ArrayList()
+
+        val availableToAddSet = HashSet() //TODO maybe unnecessary?
+        val availableToAdd: Queue> = LinkedList()
+        val remainingNodes: MutableMap> =
+            HashMap() //All other nodes, not in availableToAdd
+        val nodeInputTo: MutableMap> =
+            HashMap() // For op x -> y, x is key, y is value. Note that these are OP names not VARIABLE names
+        var nNodes: Int
+        val importInfo = irGraph.importInfoForEachNode(dynamicVariables = dynamicVariables)
+        //First, add any constants, placeholders, and zero-input ops
+        val sd = SameDiff.create()
+        val defaultRunner =
+            DefaultImportRunner()
+
+        /**
+         * Now the nodes in the graph may change after running an import process.
+         * Run an import process first before proceeding to process all the nodes in the graph
+         */
+        val originalNodeList = irGraph.nodeList()
+        val nodeNameToFuncContext = HashMap>()
+        originalNodeList.forEach { node ->
+            if(!irGraph.isConstant(node.opName()) && !irGraph.nodeIsPlaceHolder(node.nodeName())) {
+                val funcAndContext = createFuncAndContext(node.opName(),
+                    irGraph,opMappingRegistry,
+                    sd,node.nodeName(),
+                    dynamicVariables)
+                nodeNameToFuncContext[node.nodeName()] = funcAndContext
+            }
+        }
+
+        //get an updated set of number of nodes
+        nNodes = irGraph.nodeList().size
+
+        for (i in 0 until nNodes) {
+            val nd = irGraph.nodeList()[i]
+
+            val op = nd.opName()
+            val numInputs = nd.numInputs()
+            val name = nd.nodeName()
+            Preconditions.checkState(name.isNotEmpty(), "Node name was empty!")
+            if (irGraph.isConstantOpName(op)|| numInputs == 0) {
+                availableToAdd.add(nd)
+                availableToAddSet.add(name)
+            } else {
+                remainingNodes[name] = nd
+
+                for (inputIdx in 0 until numInputs) {
+                    var inOpName = stripVarSuffix(stripControl(nd.inputAt(inputIdx)))
+                    if (!nodeInputTo.containsKey(inOpName)) {
+                        nodeInputTo[inOpName!!] = ListOrderedSet()
+                    }
+                    //don't add the same name twice, we risk repeating additions above
+                    if(!nodeInputTo[inOpName]!!.contains(name))
+                        nodeInputTo[inOpName]!!.add(name)
+                }
+
+            }
+        }
+
+
+        val mergeOpsPostProcess: MutableMap = HashMap()
+        //Go through ops in order, and add to the graph
+        val constControlDeps: MutableMap> = HashMap() //Key: constant name. Value: control dependencies
+        while (!availableToAdd.isEmpty()) {
+            val nd = availableToAdd.remove()
+            val name = nd.nodeName()
+            val opName = nd.opName()
+            val importInfoForNode = importInfo[name]
+
+            availableToAddSet.remove(name)
+            println("Adding operation to graph: $opName (name=$name)")
+            opsAdded.add(opName + "," + name)
+            var skipCase = false
+            val rawAttrMap = HashMap()
+            nd.attributeMap().forEach { (name, def) ->
+                rawAttrMap[name] = def.internalAttributeValue()
+            }
+
+
+            if (opFilter != null && opFilter.skipOp(
+                    nd.internalValue(),
+                    sd,rawAttrMap, irGraph.internalValue())) {
+                println("Skipping op $name of type $opName due to op filter")
+                //Don't continue at this point - we still need to process what this feeds into...
+                skipCase = true
+            } else {
+                if (importOverride == null || !importOverride.containsKey(name)) {
+                    //Standard case
+                    //note, ordering matters here for onnx
+                    if (irGraph.nodeIsPlaceHolder(nd.nodeName()) && !sd.hasVariable(nd.nodeName())) {
+                        println("Adding placeholder ${nd.nodeName()}")
+                        var shape = irGraph.shapeOfInput(nd.nodeName())
+                        val dt = irGraph.dataTypeForVariable(nd.nodeName()).nd4jDataType()
+                        if(shape != null)
+                            sd.placeHolder(name, dt, *shape)
+                        else
+                            sd.placeHolder(name, dt)
+                    }
+                    else if (irGraph.isConstant(opName) && !sd.hasVariable(name)) {
+                        println("Adding constant ${nd.nodeName()}")
+                        //Get array, create a constant
+                        val arr = irGraph.getConstantArrayForName(name)
+                        sd.constant(name, arr)
+                        println("Added constant for node name ${nd.nodeName()} with shape ${arr.shapeInfoToString()}")
+                        val inputCount = nd.numInputs()
+                        if (inputCount > 0) {
+                            //Very likely control dependency. i.e., "we must execute op X before the constant is really available to be used"
+                            val l: MutableList = ArrayList(inputCount)
+                            for (i in 0 until inputCount) {
+                                val n = nd.inputAt(i)
+                                check(isControlDep(n)) { "Found non-control dependency input \"$n\" for constant \"$name\"" }
+                                val n2 = stripControl(n)
+                                l.add(n2)
+                            }
+                            constControlDeps[name] = l
+                        }
+                    }  else if(irGraph.isVariable(nd.nodeName()) && !sd.hasVariable(nd.nodeName())) {
+                        var shape = irGraph.shapeOfInput(nd.nodeName())
+                        val dt = irGraph.dataTypeForVariable(nd.nodeName()).nd4jDataType()
+                        if(shape != null)
+                            sd.`var`(name, dt, *shape)
+                        else
+                            sd.`var`(name, dt,-1)
+                    }
+                    else if(nodeNameToFuncContext.containsKey(nd.nodeName())) {
+                        val funcContextResult = nodeNameToFuncContext[nd.nodeName()]!!
+                        /*
+                            Normal ops. Process in the following order:
+                            1. Create the op instance
+                            2. Add op to graph
+                            3. Import from TF (to set attributes)
+                            4. Calculate output dtypes
+                            5. Create and add output variables to graph
+                             */
+
+                        var df = funcContextResult.dfInstance
+                        val mappingContext = funcContextResult.mappingContext
+                        val tensorInputMappings = funcContextResult.tensorInputMappings
+                        val nd4jOpName = df.opName()
+                        //Process inputs
+                        var controlDeps: MutableList? = null
+                        val numInputs = nd.numInputs()
+                        val inNames: MutableList = ArrayList(numInputs)
+
+                        for (i in 0 until numInputs) {
+                            //use input name if it exists and matches, otherwise if the input names do not map 1 to 1 for import
+                            //use samediff to generate a unique name
+                            val origInName = nd.inputAt(i)
+                            var inName = stripControl(origInName)
+                            if (inName.endsWith(":0")) {
+                                //Strip ":0" suffix. Some ops can depend on placeholders, like "image_tensor:0" but in SameDiff this is a variable called "image_tensor"
+                                inName = inName.substring(0, inName.length - 2)
+                            }
+                            val isControlDep = isControlDep(origInName)
+                            if (isControlDep) {
+                                if (controlDeps == null) controlDeps = ArrayList()
+                                controlDeps.add(inName)
+                            }
+                            if (!isControlDep) {
+                                inNames.add(inName)
+                            }
+
+                            //Update Variable.inputsForOp for all variables that feed into this op
+                            // Such variables must have already been created, given we process in order
+                            //declare empty variable for anything that's an input > 0
+                            if(!sd.hasVariable(inName) && inName.contains(':')) {
+                                val knownBaseName = stripVarSuffix(inName)
+                                if(!sd.hasVariable(knownBaseName)) {
+                                    throw IllegalArgumentException("No variable name found for $inName")
+                                } else {
+                                    val knownBaseVar = sd.getVariable(stripVarSuffix(inName))
+                                    sd.`var`(
+                                        SDVariable(
+                                            inName,
+                                            VariableType.ARRAY,
+                                            sd,
+                                            knownBaseVar.shape,
+                                            knownBaseVar.dataType()
+                                        )
+                                    )
+
+                                }
+                            }
+
+                            val v = sd.variables[inName]
+                            if (v == null && df is Merge) {
+                                //Edge case for import - we allow merge ops to be added before both inputs are available
+                                //This is to break the cycles in loops, otherwise we can't process anything in order
+                                mergeOpsPostProcess[df.getOwnName()] = inName
+                                continue
+                            }
+
+                            if (!isControlDep && (v!!.inputsForOp == null || !v.inputsForOp.contains(name))) {
+                                //May already be present - for example, add(x,x)
+                                if (v.inputsForOp == null) v.inputsForOp = java.util.ArrayList()
+                                v.inputsForOp.add(name)
+                            } else if (isControlDep) {
+                                if (v!!.controlDepsForOp == null) v.controlDepsForOp = java.util.ArrayList()
+                                if (!v.controlDepsForOp.contains(name)) {
+                                    v.controlDepsForOp.add(name)
+                                }
+                            }
+
+
+                        }
+
+                        val inputNames = nd.nd4jInputs(tensorInputMappings)
+                        //ensure every function has an op name set (mainly for debugging)
+                        if(df is DynamicCustomOp) {
+                            val opField = DynamicCustomOp::class.java.getDeclaredField("opName")
+                            opField.isAccessible = true
+                            ReflectionUtils.setField(opField,df,nd4jOpName)
+                        }
+
+
+                        //Create SameDiffOp instance and add to graph
+                        val op = SameDiffOp.builder()
+                            .name(name)
+                            .op(df)
+                            .controlDeps(controlDeps)
+                            .build()
+                        //take only up to the inputs that are specified in the node/
+                        //this is for cases where node inputs is > intended number for ops
+                        //a common example is when ops convert input ndarrays to integers or float inputs
+                        val resolvedArgInputs = importInfo[name]!!.second.argDescriptorList.filter {input -> input.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR}
+                            .sortedBy { argDescriptor -> argDescriptor.argIndex }
+
+                        val numInputsToTake = resolvedArgInputs.size
+
+                        if(numInputsToTake != inNames.size) {
+                            if(numInputsToTake < inNames.size)
+                                op.inputsToOp = inNames.subList(0, numInputsToTake)
+                            else if(numInputsToTake > inNames.size) {
+                                op.inputsToOp = resolvedArgInputs.map { input -> input.name }
+                            }
+                        } else
+                            op.inputsToOp = inNames
+                        //add nodes/other pre processing in order for this node to work
+                        sd.ops[name] = op
+                        //clear out inputs for variables as well to reflect the actual graph structure
+                        if(numInputsToTake < numInputs) {
+                            for(i in numInputsToTake until numInputs) {
+                                if(sd.hasVariable(nd.inputAt(i))) {
+                                    val currInputVar = sd.variables[nd.inputAt(i)]!!
+                                    currInputVar.inputsForOp.remove(op.name)
+                                }
+                            }
+                        }
+
+                        //cache attributes just in case we have any rules so we don't create the rules more than once
+                        val attributes = mappingContext.nodeAttributesAsMap()
+                        var proceedWithInit = true
+                        mappingContext.relevantPrehookRules().forEach { rule ->
+                            proceedWithInit = proceedWithInit && rule.preProcess(op, sd, attributes,importInfo[name]!!.second).proceedWithInit
+                        }
+
+                        if(proceedWithInit)
+                            defaultRunner.initAttributes(df, sd, importInfo[name]!!)
+
+
+                        //add nodes/other post processing in order for this node to work
+                        mappingContext.relevantPosthookRules().forEach { rule ->
+                            rule.postProcess(op, sd, attributes,importInfo[name]!!.second)
+                        }
+
+                        //only add to the graph if the pre processing didn't over ride the node
+
+                        //DType calculate for output variables (set/correct if necessary)
+                        if(mappingContext.relevantPrehookRules().isEmpty()) {
+                            val newInNames = sd.ops[name]!!.inputsToOp //Just in case import has modified this, like for concat case
+                            val newInDtypes: MutableList =
+                                ArrayList(newInNames.size)
+                            if (df is Merge) {
+                                //Merge op: as noted elsewhere, we allow merge to be processed when only one of the inputs is available
+                                // to break cycles for loops
+                                //We know that Merge op has the restriction of the same datatype for both inputs, so we'll
+                                val v1 = sd.getVariable(newInNames[0])
+                                val v2 = sd.getVariable(newInNames[1])
+                                val dt1 = if (v1 == null) v2!!.dataType() else v1.dataType()
+                                val dt2 = if (v2 == null) v1!!.dataType() else v2.dataType()
+                                newInDtypes.add(dt1)
+                                newInDtypes.add(dt2)
+                            }
+                            else {
+                                for (s in newInNames) {
+                                    val v = sd.getVariable(s)
+                                    newInDtypes.add(v.dataType())
+                                }
+                            }
+
+                            //note we validate the op definition here to ensure that all ops have at least 1 output unless otherwise specified.
+                            val outputDataTypes = df.calculateOutputDataTypes(newInDtypes)
+                            val numOutputs = outputDataTypes.size
+                            if(numInputs < 1 &&  nd4jOpName != "noop") {
+                                throw IllegalStateException("Op $nd4jOpName does not have any outputs!")
+                            }
+
+                            //println("Out dtypes size ${outDTypes.size} and numOutputs $numOutputs")
+                            val outSDVars = arrayOfNulls(numOutputs)
+                            val outVars = arrayOfNulls(numOutputs)
+                            val outNames: MutableList = ArrayList(numOutputs)
+
+                            //Create output variables and add to graph
+                            for (i in 0 until numOutputs) {
+                                val dt = outputDataTypes[i]
+                                val varName = name + if (i == 0) "" else ":$i"
+                                //TODO: handle variadic type in kotlin
+                                /**
+                                 * TODO: handle data type import
+                                 */
+                                outSDVars[i] = if(sd.hasVariable(varName)) sd.getVariable(varName) else sd.`var`(varName, VariableType.ARRAY, null, dt)
+                                outNames.add(varName)
+                                outVars[i] = Variable.builder()
+                                    .name(varName)
+                                    .variable(outSDVars[i])
+                                    .inputsForOp(null) //This is updated incrementally as other ops are added
+                                    .controlDepsForOp(null) //Control deps are handled later
+                                    .controlDepsForVar(null)
+                                    .outputOfOp(name)
+                                    .build()
+                                sd.variables[varName] = outVars[i]
+                                println("Added variable to graph: $varName (output of op $name)")
+                                variablesAdded.add(varName + "," + name)
+                            }
+
+                            sd.ops[name]!!.outputsOfOp = outNames
+                            println("Imported op: $opName (name=$name)")
+                            opsImported.add(opName + "," + name)
+
+                        }
+
+
+                    }
+                    else {
+                        println("Node ${nd.nodeName()} not found in import context, skipping!")
+                    }
+                } else {
+
+                    val opMappingProcess = OpRegistryHolder.lookupOpMappingProcess<
+                            GRAPH_TYPE,
+                            NODE_TYPE,
+                            OP_DEF_TYPE,
+                            TENSOR_TYPE,
+                            DATA_TYPE,
+                            ATTR_DEF_TYPE,
+                            ATTR_VALUE_TYPE>(inputFrameworkOpName = opName, inputFrameworkName = irGraph.frameworkName())
+
+
+
+                    val dfInstance = if( DifferentialFunctionClassHolder.getInstance()
+                            .hasName(opName)) DifferentialFunctionClassHolder.getInstance().getInstance(opName)
+                    else DynamicCustomOp.builder(opName).build()
+                    Preconditions.checkState(
+                        dfInstance != null,
+                        "Could not find class for ${opMappingProcess.opName()}",
+                        opName
+                    )
+                    var df: DifferentialFunction
+                    df = try {
+                        dfInstance.javaClass.newInstance()
+                    } catch (t: Throwable) {
+                        //Should never happen because function was already created via no-arg constructor earlier
+                        throw RuntimeException(t)
+                    }
+
+                    df.sameDiff = sd
+                    df.ownName = name
+
+                    val opDefLookup = opMappingRegistry.lookupInputFrameworkOpDef(opName) as OP_DEF_TYPE
+
+
+                    //Import override case
+                    val o = importOverride[name]
+                    println("Importing op $opName using override $importOverride")
+
+                    //First, get inputs:
+                    val inputs: MutableList = java.util.ArrayList()
+                    var controlDeps: MutableList? = null
+                    val nd4jOpName = opMappingRegistry.lookupOpMappingProcess(opName).opName()
+                    val opDescriptor = opMappingRegistry.lookupNd4jOpDef(nd4jOpName)
+                    val opInputs = opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+                    val numInputs = opInputs.size
+
+
+                    for (i in 0 until numInputs) {
+                        val inName = nodeInputTo[nd.nodeName()]!![i]!!
+                        val controlDep = isControlDep(inName)
+                        val v = sd.getVariable(name)
+                        if (controlDep) {
+                            if (controlDeps == null) controlDeps = java.util.ArrayList()
+                            controlDeps.add(v)
+                        } else {
+                            inputs.add(v)
+                        }
+
+                        o!!.initAttributes(df, sd, importInfo[nd.nodeName()]!!)
+                    }
+                }
+            }
+
+
+            //Now that we have just added an op (or variable) - check what this feeds into, and see what we can now process
+            // as a result
+            if (nodeInputTo.containsKey(name)) {
+                val set: ListOrderedSet? = nodeInputTo[name]
+                for (nextOp in set!!) {
+                    val nextOpDef = remainingNodes[nextOp]
+
+                    if (nextOpDef == null) {
+                        val opSet = setOf("noop","assert","while","identity","const","merge")
+                        if (sd.ops.containsKey(nextOp) || opSet.contains(importInfoForNode!!.first.nd4jOpName())) {
+                            //Already processed this.
+                            //Almost certainly the close of a loop - like NextIteration -> Merge case
+                            continue
+                        }
+                        throw IllegalStateException("Could not find op definition for op to import: $nextOp")
+                    }
+
+                    val nInNext = nextOpDef.numInputs()
+                    var allAlreadyInGraph = true
+                    var nonControlSeenCount = 0
+
+                    for (i in 0 until nInNext) {
+                        val s = nextOpDef.inputAt(i)
+                        var inName = stripControl(stripVarSuffix((nextOpDef.inputAt(i))))
+                        if (inName.endsWith(":0")) {
+                            //Strip ":0" suffix. Some ops can depend on placeholders, like "image_tensor:0" but in SameDiff this is a variable called "image_tensor"
+                            inName = inName.substring(0, inName.length - 2)
+                        }
+
+//                        log.info("Input: {}, {}", s, inName);
+                        if (!sd.hasVariable(inName) && !skipCase) {
+//                            log.info("Not found: {} for op {}", inName, nextOpDef.getName());
+                            allAlreadyInGraph = false
+                            break
+                        } else if (!isControlDep(s)) {
+                            nonControlSeenCount++
+                        }
+                    }
+
+                    //Merge ops are an edge case. We'll allow these to be executed with just ONE input, to break
+                    // the cycle in loops. In loops, generally we have (Enter, NextIteration) -> Merge, which
+                    // of course can't be done if we strictly require all inputs to be available
+                    val mergeCase = nonControlSeenCount > 0 && "Merge" == nextOpDef.opName()
+                    if (allAlreadyInGraph || mergeCase) {
+                        //Can process this op, add it to the queue for processing
+                        if (!availableToAddSet.contains(nextOp)) {
+                            //Avoid processing same op multiple times, for repeated inputs to one op, etc
+                            availableToAdd.add(nextOpDef)
+                            availableToAddSet.add(nextOp)
+                            println("Added to processing queue: ${nextOpDef.opName()} (name=$nextOp)")
+                        }
+                    }
+                }
+            }
+
+            //Finally, remove the just processed op from remainingNodes map:
+            remainingNodes.remove(name)
+            opsRemoved.add(name)
+        }
+
+        //Post process the control dependencies, if any (done after because dependencies may not exist when imported)
+        for ((varName, cdOpNames) in constControlDeps) {
+            sd.variables[varName]!!.controlDeps = cdOpNames
+            for (s in cdOpNames) {
+                val sdo = sd.ops[s]
+                if(sd.ops.containsKey(s)) {
+                    if (sdo!!.controlDepFor == null) sdo.controlDepFor = java.util.ArrayList()
+                    val l = sdo.controlDepFor
+                    if (!l.contains(s)) l.add(varName)
+                }
+            }
+        }
+
+        //Post process the merge ops - all we are missing is a Variable.getInputsForOp().add(mergeOpName);
+        for ((key, value) in mergeOpsPostProcess) {
+            val v = sd.variables[value]
+            if(v != null) {
+                if ( v!!.inputsForOp == null) v.inputsForOp = java.util.ArrayList()
+                v.inputsForOp.add(key)
+            }
+
+        }
+
+
+        println("Variables added $variablesAdded")
+        FileUtils.writeLines(File("variables-added-new.txt"),variablesAdded)
+        println("Ops imported $opsImported")
+        FileUtils.writeLines(File("ops-imported-new.txt"),opsImported)
+        println("Ops added$opsAdded")
+        FileUtils.writeLines(File("ops-added-new.txt"),opsAdded)
+        println("Ops removed $opsRemoved")
+        FileUtils.writeLines(File("ops-removed-new.txt"),opsRemoved)
+
+        Preconditions.checkState(
+            remainingNodes.isEmpty(),
+            "%s Unprocessed nodes: %s",
+            remainingNodes.size,
+            remainingNodes.keys
+        )
+        return sd
+    }
+}
+
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraphFactory.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraphFactory.kt
new file mode 100644
index 000000000..e0842cb6e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraphFactory.kt
@@ -0,0 +1,58 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport
+
+import org.nd4j.common.config.ND4JClassLoading
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import java.util.*
+
+class ImportGraphFactory {
+
+    val frameworkImportGraphInstances = HashMap()
+
+    init {
+        val loaded = ServiceLoader.load(ImportGraphHolder::class.java,ND4JClassLoading.getNd4jClassloader())
+        val iter = loaded.iterator()
+        while(iter.hasNext()) {
+            val next = iter.next()
+            frameworkImportGraphInstances[next.frameworkName()] = next
+        }
+    }
+
+    fun   createImportGraph(frameworkName: String): ImportGraph<
+            GRAPH_TYPE,
+            NODE_TYPE,
+            OP_DEF_TYPE,
+            TENSOR_TYPE,
+            ATTR_DEF_TYPE,
+            ATTR_VALUE_TYPE,
+            DATA_TYPE> {
+        return frameworkImportGraphInstances[frameworkName]!!.createImportGraph()
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraphHolder.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraphHolder.kt
new file mode 100644
index 000000000..236166f23
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ImportGraphHolder.kt
@@ -0,0 +1,44 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport
+
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface ImportGraphHolder {
+
+    fun frameworkName(): String
+
+    fun  createImportGraph(): ImportGraph<
+            GRAPH_TYPE,
+            NODE_TYPE,
+            OP_DEF_TYPE,
+            TENSOR_TYPE,
+            ATTR_DEF_TYPE,
+            ATTR_VALUE_TYPE,
+            DATA_TYPE>
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/context/AbstractMappingContext.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/context/AbstractMappingContext.kt
new file mode 100644
index 000000000..07eaae53b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/context/AbstractMappingContext.kt
@@ -0,0 +1,176 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.context
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.hooks.PostImportHook
+import org.nd4j.samediff.frameworkimport.hooks.PreImportHook
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.reflect.ImportReflectionCache
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class AbstractMappingContext(
+    opDef: OP_DEF_TYPE,
+    node: NODE_TYPE,
+    graph:
+    IRGraph,
+    dynamicVariables: MutableMap = HashMap()):
+    MappingContext {
+
+    val opDef = opDef
+    val node = node
+    val graph = graph
+    val dynamicVariables: MutableMap = dynamicVariables
+    val descriptorsSoFar = ArrayList()
+    val relevantPreProcessingHooks = ArrayList()
+    val relevantPostProcessingHooks = ArrayList()
+    init {
+        discoverHooks()
+    }
+
+    fun discoverHooks() {
+        ImportReflectionCache.preProcessRuleImplementationsByNode.filterKeys { input -> input == irNode().nodeName() }.values.forEach { hooks ->
+            relevantPreProcessingHooks.addAll(hooks)
+        }
+
+        ImportReflectionCache.preProcessRuleImplementationsByOp.filterKeys { input -> input == nd4jOpName() }.values.forEach { hooks ->
+            relevantPreProcessingHooks.addAll(hooks)
+        }
+
+
+        ImportReflectionCache.postProcessRuleImplementationsByOp.filterKeys { input -> input == nd4jOpName() }.values.forEach { hooks ->
+            relevantPostProcessingHooks.addAll(hooks)
+        }
+
+        ImportReflectionCache.postProcessRuleImplementationsByNode.filterKeys { input -> input == irNode().nodeName() }.values.forEach { hooks ->
+            relevantPostProcessingHooks.addAll(hooks)
+        }
+    }
+
+    override fun nodeAttributesAsMap(): Map {
+        val ret = HashMap()
+        irNode().attributeMap().forEach { name, attribute ->
+            when(attribute.attributeValueType()) {
+                AttributeValueType.LIST_INT -> {
+                    ret[name] = attribute.listIntValue()
+                }
+
+                AttributeValueType.LIST_TENSOR -> {
+                   ret[name] = attribute.listTensorValue().map { input -> input.toNd4jNDArray() }
+                }
+                AttributeValueType.TENSOR -> {
+                    ret[name] = attribute.tensorValue().toNd4jNDArray()
+                }
+
+                AttributeValueType.BOOL -> {
+                    ret[name] = attribute.boolValue()
+                }
+
+                AttributeValueType.DATA_TYPE -> {
+                    ret[name] = attribute.dataTataTypeValue().nd4jDataType()
+                }
+
+                AttributeValueType.FLOAT -> {
+                    ret[name] = attribute.floatValue()
+                }
+
+                AttributeValueType.LIST_FLOAT -> {
+                    ret[name] = attribute.listFloatValue()
+                }
+
+                AttributeValueType.INT -> {
+                    ret[name] = attribute.intValue()
+                }
+
+                AttributeValueType.LIST_BOOL -> {
+                    ret[name] = attribute.listBoolValue()
+                }
+
+                AttributeValueType.STRING -> {
+                    ret[name] = attribute.stringValue()
+                }
+
+                AttributeValueType.LIST_STRING -> {
+                    ret[name] = attribute.listStringValue()
+                }
+
+                AttributeValueType.INVALID -> {
+
+                }
+            }
+        }
+
+        return ret
+    }
+
+    override fun relevantPrehookRules(): List {
+        return relevantPreProcessingHooks
+    }
+
+    override fun relevantPosthookRules(): List {
+        return relevantPostProcessingHooks
+    }
+
+    override fun descriptorsSoFar(): MutableList {
+        return descriptorsSoFar
+    }
+
+    override fun dynamicResolutionVariables(): MutableMap {
+        return dynamicVariables
+    }
+
+    override fun resolveDynamic(): Boolean {
+        return dynamicVariables.isNotEmpty()
+    }
+
+    override fun node(): NODE_TYPE {
+        return node
+    }
+
+    override fun opDef(): OP_DEF_TYPE {
+        return opDef
+    }
+
+    override fun graph(): IRGraph {
+        return graph
+    }
+
+    override fun argDescriptorTypeForName(nd4jName: String): List {
+        val opDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(graph.nd4jNameForInternalOpName(opName()))
+        return opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.name == nd4jName }.map { argDescriptor ->  argDescriptor.argType }
+    }
+
+    override fun nd4jOpName(): String {
+        return OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(graph.nd4jNameForInternalOpName(opName())).name
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/context/MappingContext.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/context/MappingContext.kt
new file mode 100644
index 000000000..f82c07974
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/context/MappingContext.kt
@@ -0,0 +1,134 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.context
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.hooks.PostImportHook
+import org.nd4j.samediff.frameworkimport.hooks.PreImportHook
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface MappingContext {
+
+    /**
+     * Prehook rules for this context
+     */
+    fun relevantPrehookRules(): List
+
+    /**
+     * Post hook rules for this context
+     */
+    fun relevantPosthookRules(): List
+
+    /**
+     * Whether to resolve dynamic place holder variables where
+     * scalar values are present. An example scenario is when a value is an input ndarray
+     * such as pow(..) where 1 is always an ndarray and the other is a scalar value
+     * represented as a double argument in nd4j, but might be a placeholder
+     * in the input framework.
+     */
+    fun resolveDynamic(): Boolean
+
+    /**
+     * Return the node attributes as a map.
+     * Note: should mainly be used by internal tools
+     * that know what to expect from the attributes coming
+     * from the context.
+     */
+    fun nodeAttributesAsMap(): Map
+
+    /**
+     * Input variables for  dynamic resolution required for import.
+     * This  is important for any cases where  a placeholder variable
+     * can be imported and resolved dynamically and later passed on as scalars.
+     */
+    fun dynamicResolutionVariables(): MutableMap
+
+    fun node(): NODE_TYPE
+
+    /**
+     * The in use IR Node for mapping
+     */
+    fun irNode(): IRNode
+
+
+
+    /**
+     * The op def we are mapping
+     */
+    fun opDef(): OP_DEF_TYPE
+
+    /**
+     * Resolve the actual real input name for the specific node
+     * mapped to the generic op definition name that tne node
+     * is an op for.
+     */
+    fun nodeInputNameForOpDefInputName(name: String): String
+
+    /**
+     * The op name we're mapping
+     */
+    fun opName(): String
+
+    /**
+     * The name of the node we're mapping for the context
+     */
+    fun nodeName(): String
+
+    fun attrDef(name: String): ATTRIBUTE_TYPE
+
+    fun tensorInputFor(name: String): IRTensor
+
+
+    fun tensorInputFromInputFrameworkName(name: String): IRTensor
+
+    fun tensorAttributeFor(name: String): IRTensor
+
+
+    fun createIRTensorFromNDArray(ndaray: INDArray): IRTensor
+
+    fun nd4jDataTypeFor(input: IRTensor): DataType
+
+    fun irAttributeValueForNode(valueName: String): IRAttribute
+
+    fun argDescriptorTypeForName(nd4jName: String): List
+
+    /**
+     * Associated graph for the mapping context
+     */
+    fun graph(): IRGraph
+
+    /**
+     * The op name mapped to in nd4j
+     */
+    fun nd4jOpName(): String
+
+    /**
+     * The descriptors we've accumulated so far for the result
+     */
+    fun descriptorsSoFar(): MutableList
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/PostImportHook.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/PostImportHook.kt
new file mode 100644
index 000000000..b7fe4136f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/PostImportHook.kt
@@ -0,0 +1,32 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.hooks
+
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.autodiff.samediff.internal.SameDiffOp
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.hooks.annotations.HookResult
+
+interface PostImportHook {
+
+    fun postProcess(op: SameDiffOp, sd: SameDiff, attributes: Map, descriptor: OpNamespace.OpDescriptor): HookResult
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/PreImportHook.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/PreImportHook.kt
new file mode 100644
index 000000000..125f43e14
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/PreImportHook.kt
@@ -0,0 +1,31 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.hooks
+
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.autodiff.samediff.internal.SameDiffOp
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.hooks.annotations.HookResult
+
+interface PreImportHook {
+
+    fun preProcess(op: SameDiffOp, sd: SameDiff, attributes: Map, descriptor: OpNamespace.OpDescriptor): HookResult
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/HookResult.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/HookResult.kt
new file mode 100644
index 000000000..f79d045db
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/HookResult.kt
@@ -0,0 +1,26 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.hooks.annotations
+
+import org.nd4j.autodiff.functions.DifferentialFunction
+import org.nd4j.autodiff.samediff.SDVariable
+
+data class HookResult(val outputVariables: Map> = emptyMap(),val functions: List = emptyList(),val proceedWithInit: Boolean = true)
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/PostHookRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/PostHookRule.kt
new file mode 100644
index 000000000..cd354d0d6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/PostHookRule.kt
@@ -0,0 +1,22 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.hooks.annotations
+
+annotation class PostHookRule(val nodeNames: Array,val opNames: Array, val frameworkName: String)
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/PreHookRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/PreHookRule.kt
new file mode 100644
index 000000000..7d20d9973
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/hooks/annotations/PreHookRule.kt
@@ -0,0 +1,22 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.hooks.annotations
+
+annotation class PreHookRule(val nodeNames: Array,val opNames: Array,val frameworkName: String)
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRArgDef.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRArgDef.kt
new file mode 100644
index 000000000..c5730c98e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRArgDef.kt
@@ -0,0 +1,36 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRArgDef
+        where DATA_TYPE: ProtocolMessageEnum {
+    fun name(): String
+
+    fun description(): String
+
+    fun dataType(): IRDataType
+
+    fun internalValue(): T
+
+    fun indexOf(): Integer
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRAttribute.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRAttribute.kt
new file mode 100644
index 000000000..21f76d0cb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRAttribute.kt
@@ -0,0 +1,60 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRAttribute {
+
+    fun name(): String
+
+    fun floatValue(): Float
+
+    fun listFloatValue(): List
+
+    fun tensorValue(): IRTensor
+
+    fun listTensorValue(): List>
+
+    fun intValue(): Long
+
+    fun listIntValue(): List
+
+    fun boolValue(): Boolean
+
+    fun listBoolValue(): List
+
+    fun stringValue(): String
+
+    fun listStringValue(): List
+
+    fun attributeValueType(): AttributeValueType
+
+    fun dataTataTypeValue(): IRDataType
+
+    fun internalAttributeDef(): ATTRIBUTE_TYPE
+
+
+    fun internalAttributeValue(): ATTRIBUTE_VALUE_TYPE
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRDataType.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRDataType.kt
new file mode 100644
index 000000000..a903c5143
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRDataType.kt
@@ -0,0 +1,36 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRDataType where DATA_TYPE: ProtocolMessageEnum {
+    fun convertToDataType(input: DATA_TYPE): IRDataTypeValue
+
+    fun dataType(): IRDataTypeValue
+
+    fun internalValue(): DATA_TYPE
+
+    fun nd4jDataType(): DataType
+
+    fun nameSpaceDataType(): TensorNamespace.DataType
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRDataTypeValue.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRDataTypeValue.kt
new file mode 100644
index 000000000..c3ae7c1f4
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRDataTypeValue.kt
@@ -0,0 +1,48 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+enum class IRDataTypeValue {
+    DT_FLOAT,
+    DT_DOUBLE,
+    DT_INT32,
+    DT_UINT8,
+    DT_INT16,
+    DT_INT8,
+    DT_STRING,
+    DT_COMPLEX64,  // Single-precision complex
+    DT_INT64,
+    DT_BOOL,
+    DT_QINT8,     // Quantized int8
+    DT_QUINT8,    // Quantized uint8
+    DT_QINT32,    // Quantized int32
+    DT_BFLOAT16,  // Float32 truncated to 16 bits.  Only for cast ops.
+    DT_QINT16,    // Quantized int16
+    DT_QUINT16,   // Quantized uint16
+    DT_UINT16,
+    DT_COMPLEX128,  // Double-precision complex
+    DT_HALF,
+    DT_RESOURCE,
+    DT_VARIANT,  // Arbitrary C++ data types
+    DT_UINT32,
+    DT_UINT64,
+    DT_INVALID
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRFunctions.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRFunctions.kt
new file mode 100644
index 000000000..01eea3562
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRFunctions.kt
@@ -0,0 +1,64 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+fun  importInfoForEachNodeInGraph (
+    graph: IRGraph,
+    dynamicVariables: MutableMap)
+        :  Map, OpNamespace.OpDescriptor>> {
+
+    val opMappingRegistry = graph.opMappingRegistry()
+
+    val ret = HashMap, OpNamespace.OpDescriptor>>()
+
+    graph.nodeList().forEach { node ->
+        val name = node.nodeName()
+        val opMappingProcess =  opMappingRegistry.lookupOpMappingProcess(node.opName())
+        val opDefLookup = opMappingRegistry.lookupInputFrameworkOpDef(node.opName())
+        val mappingContext = graph.createMappingContext(
+            opDef = opDefLookup,
+            node = graph.nodeByName(node.nodeName()),
+            dynamicVariables = dynamicVariables
+        )
+
+        val applied = opMappingProcess.applyProcess(mappingContext)
+        ret[name] = applied
+    }
+
+    return ret
+}
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRGraph.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRGraph.kt
new file mode 100644
index 000000000..ce53acca0
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRGraph.kt
@@ -0,0 +1,91 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRGraph<
+        GRAPH_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        TENSOR_TYPE: GeneratedMessageV3,
+        ATTRIBUTE_TYPE: GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE: GeneratedMessageV3,
+        DATA_TYPE : ProtocolMessageEnum> {
+
+    fun addConstantNode(name: String,value: INDArray)
+
+    fun importInfoForEachNode(dynamicVariables: MutableMap): Map, OpNamespace.OpDescriptor>>
+
+    fun shapeOfInput(varName: String): LongArray?
+
+    fun dataTypeForVariable(varName: String): IRDataType
+
+    fun isConstant(opName: String): Boolean
+
+    fun nodeIsPlaceHolder(nodeName: String): Boolean
+
+    fun isPlaceHolder(opName: String): Boolean
+
+    fun isVariable(nodeName: String): Boolean
+
+    fun isConstantOpName(name: String): Boolean
+
+    fun isVariableOpName(name: String): Boolean
+
+    fun nodeByName(input: String): NODE_TYPE
+
+    fun nodeList(): List>
+
+    fun internalValue(): GRAPH_TYPE
+
+    fun opMappingRegistry(): OpMappingRegistry
+
+    fun updateNode(node: IRNode)
+
+    fun createMappingContext(
+        opDef: OP_DEF_TYPE,
+        node: NODE_TYPE,
+        dynamicVariables: MutableMap
+    ): MappingContext
+
+    fun frameworkName(): String
+
+    fun nd4jNameForInternalOpName(name: String): String
+
+    fun graphOutputs(): List
+
+    fun outputAt(index: Int): String
+
+    fun setOutputs(outputs: List)
+
+    fun graphInputs(): List
+
+    fun inputAt(index: Int): String
+
+    fun setInputs(inputs: List)
+
+    fun getConstantArrayForName(name: String): INDArray
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRNode.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRNode.kt
new file mode 100644
index 000000000..4cf67a38d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRNode.kt
@@ -0,0 +1,108 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRNode
+        where  DATA_TYPE: ProtocolMessageEnum {
+
+
+    fun nd4jInputs(tensorMappings: Map): List
+
+    fun computeAdjustedOffsetForInput(
+        nd4jName: String,
+        inputFrameworkName: String,
+        tensorInputMappings: Map
+    ): Int
+
+    /**
+     * Get the list of inputs from the node that represent a particular
+     * [OpDef] input list name.
+     */
+    fun inputNamesForListOfInputValues(inputListName: String): List
+
+    /**
+     * Compute the number of inputs
+     * for a list of tensors that reflect 1 or more inputs
+     * as 1 name.
+     */
+    fun numInputsForListOfTensors(name: String): Int
+
+    /**
+     * List of inputs in to the node
+     * @return the list of input names for this node
+     */
+    fun  createInputsFrom(inputData: List): List>
+
+    /**
+     * List of outputs
+     * @return the list of output names for this node
+     */
+    fun createOutputsFrom(inputValues: List): List>
+
+    /**
+     * Op name
+     */
+    fun opName(): String
+
+    /**
+     * The name of the node
+     * @return the name of the node
+     */
+    fun nodeName(): String
+
+    /**
+     * Dynamically add an input to the node
+
+     */
+    fun addInput(inputName: String)
+
+    /**
+     * List of input names
+     */
+    fun inputs(): List
+
+    /**
+     * List of output names
+     */
+    fun outputs(): List
+
+    /**
+     * The input at a particular index
+     * @return the name at the particular index
+     */
+    fun inputAt(index: Int): String
+    fun outputAt(index: Int): String
+
+    fun numInputs(): Int
+
+    fun numOutputs(): Int
+
+    fun attributeMap(): Map>
+    fun getAttribute(inputName: String): IRAttribute
+    fun hasAttribute(inputName: String): Boolean
+
+    fun internalValue(): NODE_TYPE
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IROpDef.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IROpDef.kt
new file mode 100644
index 000000000..74b15021d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IROpDef.kt
@@ -0,0 +1,43 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IROpDef<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3,
+        ARG_DEF_TYPE : GeneratedMessageV3, DATA_TYPE,
+        ATTRIBUTE_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE : GeneratedMessageV3>
+        where DATA_TYPE: ProtocolMessageEnum {
+    fun opName(): String
+
+    fun internalValue(): OP_DEF_TYPE
+
+    fun inputArgs(): List>
+
+    fun outputArgs(): List>
+
+    fun attributes(): List>
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRTensor.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRTensor.kt
new file mode 100644
index 000000000..d379ce5cc
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/ir/IRTensor.kt
@@ -0,0 +1,36 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.ir
+
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRTensor
+        where  DATA_TYPE: ProtocolMessageEnum {
+    fun shape(): List
+    fun stride(): List
+    fun dataType(): IRDataType
+    fun toArgTensor(): TensorNamespace.TensorProto
+    fun rawValue(): TENSOR_TYPE
+    fun toNd4jNDArray(): INDArray
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/mapper/MapperExtensions.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/mapper/MapperExtensions.kt
new file mode 100644
index 000000000..1befaed7a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/mapper/MapperExtensions.kt
@@ -0,0 +1,26 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.mapper
+
+import org.nd4j.ir.OpNamespace
+
+fun OpNamespace.OpDescriptorList.findOp(opName: String): OpNamespace.OpDescriptor {
+    return this.opListList.first { it.name == opName }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/opdefs/OpDescriptorLoader.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/opdefs/OpDescriptorLoader.kt
new file mode 100644
index 000000000..b093a3dd6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/opdefs/OpDescriptorLoader.kt
@@ -0,0 +1,51 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.opdefs
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+val nd4jFileNameTextDefault = "nd4j-op-def.pbtxt"
+val nd4jFileSpecifierProperty = "samediff.import.nd4jdescriptors"
+
+interface OpDescriptorLoader {
+
+    fun frameworkName(): String
+
+    fun nd4jOpList(): OpNamespace.OpDescriptorList
+
+    fun mappingProcessDefinitionSet(): MapperNamespace.MappingDefinitionSet
+
+    fun inputFrameworkOpDescriptorList(): Map
+
+    fun 
+            createOpMappingRegistry(): OpMappingRegistry
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/opdefs/OpDescriptorLoaderHolder.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/opdefs/OpDescriptorLoaderHolder.kt
new file mode 100644
index 000000000..634a7f0a3
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/opdefs/OpDescriptorLoaderHolder.kt
@@ -0,0 +1,48 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.opdefs
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import java.util.*
+
+object OpDescriptorLoaderHolder {
+    val opDescriptorLoader = HashMap>()
+    var nd4jOpDescriptor: OpNamespace.OpDescriptorList = loadDescriptorLoaders()
+
+    fun  listForFramework(frameworkName: String): Map {
+        return opDescriptorLoader[frameworkName]!!.inputFrameworkOpDescriptorList() as Map
+    }
+
+    private fun loadDescriptorLoaders(): OpNamespace.OpDescriptorList {
+        val loaded = ServiceLoader.load(OpDescriptorLoader::class.java)
+        val iter = loaded.iterator()
+        while(iter.hasNext()) {
+            val next = iter.next()
+            val loadedList = next.inputFrameworkOpDescriptorList()
+            opDescriptorLoader[next.frameworkName()] = next
+            nd4jOpDescriptor = next.nd4jOpList()
+        }
+
+        return nd4jOpDescriptor
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/AbstractMappingProcess.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/AbstractMappingProcess.kt
new file mode 100644
index 000000000..d1d00885e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/AbstractMappingProcess.kt
@@ -0,0 +1,248 @@
+
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.process
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.IROpDef
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import java.lang.IllegalArgumentException
+
+abstract  class AbstractMappingProcess<
+        GRAPH_TYPE: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE : GeneratedMessageV3, DATA_TYPE: ProtocolMessageEnum>(inputFramework: String,
+                                                                                   frameworkVersion: String,
+                                                                                   inputFrameworkOpName: String,
+                                                                                   inputIndexOverrides: Map = emptyMap(),
+                                                                                   opName: String,
+                                                                                   opMappingRegistry: OpMappingRegistry,
+                                                                                   tensorMappingRules: List>,
+                                                                                   attributeMappingRules: List>):
+    MappingProcess {
+
+    protected val inputFramework = inputFramework
+    protected val frameworkVersion = frameworkVersion
+    protected val inputFrameworkOpName = inputFrameworkOpName
+    protected val opName = opName
+    protected val tensorMappingRules = tensorMappingRules
+    protected val attributeMappingRules = attributeMappingRules
+    protected var opDef: IROpDef? = null
+    protected val opMappingRegistry = opMappingRegistry
+    protected val inputIndexOverrides = inputIndexOverrides
+    val nd4jOpDescriptors =  OpDescriptorLoaderHolder.nd4jOpDescriptor
+
+
+    init {
+
+        tensorMappingRules.forEach { tensorMappingRule ->
+            tensorMappingRule.initWithMappingProcess(this)
+            tensorMappingRule.mappingNamesToPerform().forEach { (nd4jName, inputFrameworkName) ->
+                if(!tensorMappingRule.isInputTensorName(inputFrameworkName)) {
+                    throw IllegalArgumentException(
+                        "Found invalid input tensor named ${inputFrameworkName} for rule ${tensorMappingRule.name()} and mapping process for op ${opName} and input framework name ${inputFrameworkOpName} with definition being  ${
+                            nd4jOpDescriptors.findOp(
+                                opName
+                            )
+                        }"
+                    )
+                }
+
+                if(!tensorMappingRule.isOutputTensorName(nd4jName)) {
+                    throw IllegalArgumentException(
+                        "Found invalid output tensor named ${nd4jName} for rule ${tensorMappingRule.name()} and mapping process for op ${opName} and input framework name ${inputFrameworkOpName} with definition being ${
+                            nd4jOpDescriptors.findOp(
+                                opName
+                            )
+                        }"
+                    )
+                }
+
+            }
+        }
+
+        attributeMappingRules.forEach {
+            it.initWithMappingProcess(this)
+            attributeMappingRules.forEach { attributeMappingRule ->
+                attributeMappingRule.mappingNamesToPerform().forEach { (nd4jName, inputFrameworkName) ->
+                    val inputType = attributeMappingRule.attributeValueTypeFor(inputFrameworkName,this)
+                    if(!attributeMappingRule.acceptsInputType(inputType)) {
+                        throw IllegalArgumentException("Rule ${attributeMappingRule.name()} for framework $inputFramework does not accept input type ${inputType} for attribute name ${inputFrameworkName} and mapping process for op ${opName} and input framework name ${inputFrameworkOpName}")
+                    }
+
+                    val outputType = attributeMappingRule.argDescriptorTypesForOutputName(nd4jName,this)
+                    if(!attributeMappingRule.outputsType(outputType)) {
+                        throw IllegalArgumentException("Rule ${attributeMappingRule.name()} for framework $inputFramework with input framework name $inputFrameworkName and framework op name $inputFrameworkOpName does not accept output type ${outputType} for attribute name ${nd4jName} and mapping process for op ${opName}")
+                    }
+
+                }
+            }
+        }
+
+
+        opMappingRegistry.registerMappingProcess(
+            inputFrameworkOpName = inputFrameworkOpName,
+            processToRegister = this
+        )
+
+
+    }
+
+    override fun indexOverrides(): Map {
+        return inputIndexOverrides
+    }
+
+    override fun attributeMappingRules(): List> {
+        return attributeMappingRules
+    }
+
+    override fun tensorMappingRules(): List> {
+        return tensorMappingRules
+    }
+
+    override fun applyProcessReverse(input: OpNamespace.OpDescriptor): IRNode {
+        TODO("Not yet implemented")
+    }
+
+    override fun inputFrameworkOpName(): String {
+        return inputFrameworkOpName
+    }
+
+    override fun opName(): String {
+        return opName
+    }
+
+    override fun frameworkVersion(): String {
+        return frameworkVersion
+    }
+
+    override fun inputFramework(): String {
+        return inputFramework
+    }
+
+    override fun applyProcess(mappingCtx: MappingContext
+    ): Pair, OpNamespace.OpDescriptor> {
+        val descriptorBuilder = OpNamespace.OpDescriptor.newBuilder()
+        descriptorBuilder.name = opName()
+        tensorMappingRules.forEach {
+            it.convertInput(mappingCtx).forEach { descriptor -> run {
+                descriptorBuilder.addArgDescriptor(descriptor)
+                mappingCtx.descriptorsSoFar().add(descriptor)
+            }
+            }
+        }
+
+
+        attributeMappingRules.forEach {
+            it.convertAttributes(mappingCtx).forEach {
+                    descriptor ->
+                run {
+                    descriptorBuilder.addArgDescriptor(descriptor)
+                    mappingCtx.descriptorsSoFar().add(descriptor)
+                }
+            }
+        }
+
+        val fullDescriptor = nd4jOpDescriptors.findOp(opName())
+        descriptorBuilder.opDeclarationType = fullDescriptor.opDeclarationType
+
+        return Pair(mappingCtx,descriptorBuilder.build())
+    }
+
+    override fun serialize(): MapperNamespace.MapperDeclaration {
+        val retBuilder = MapperNamespace.MapperDeclaration.newBuilder()
+        retBuilder.frameworkName = inputFramework()
+        retBuilder.opName = opName()
+        retBuilder.inputFrameworkOpName = inputFrameworkOpName()
+
+        indexOverrides().forEach { indexToOverride, replacementIndex ->
+            retBuilder.putIndexOverrides(indexToOverride.toLong(),replacementIndex.toLong())
+        }
+
+        tensorMappingRules.forEach {
+            retBuilder.addRule(it.serialize().toBuilder())
+        }
+
+        attributeMappingRules.forEach {
+            retBuilder.addRule(it.serialize().toBuilder())
+        }
+
+        return retBuilder.build()
+    }
+
+    override fun equals(other: Any?): Boolean {
+        if (this === other) return true
+        if (other !is AbstractMappingProcess<*, *, *, *, *, *, *>) return false
+
+        if (inputFramework != other.inputFramework) return false
+        if (frameworkVersion != other.frameworkVersion) return false
+        if (inputFrameworkOpName != other.inputFrameworkOpName) return false
+        if (opName != other.opName) return false
+        if (tensorMappingRules != other.tensorMappingRules) return false
+        if (attributeMappingRules != other.attributeMappingRules) return false
+        if (opDef != other.opDef) return false
+        if (inputIndexOverrides != other.inputIndexOverrides) return false
+
+        return true
+    }
+
+    override fun hashCode(): Int {
+        var result = inputFramework.hashCode()
+        result = 31 * result + frameworkVersion.hashCode()
+        result = 31 * result + inputFrameworkOpName.hashCode()
+        result = 31 * result + opName.hashCode()
+        result = 31 * result + tensorMappingRules.hashCode()
+        result = 31 * result + attributeMappingRules.hashCode()
+        result = 31 * result + (opDef?.hashCode() ?: 0)
+        result = 31 * result + inputIndexOverrides.hashCode()
+        return result
+    }
+
+    override fun toString(): String {
+        return "AbstractMappingProcess(inputFramework='$inputFramework', frameworkVersion='$frameworkVersion', inputFrameworkOpName='$inputFrameworkOpName', opName='$opName', tensorMappingRules=$tensorMappingRules, attributeMappingRules=$attributeMappingRules, opDef=$opDef, inputIndexOverrides=$inputIndexOverrides, nd4jOpDescriptors=$nd4jOpDescriptors)"
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/AbstractMappingProcessLoader.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/AbstractMappingProcessLoader.kt
new file mode 100644
index 000000000..7fd16afee
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/AbstractMappingProcessLoader.kt
@@ -0,0 +1,178 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.process
+
+import io.github.classgraph.ClassGraph
+import org.apache.commons.lang3.reflect.TypeUtils
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import java.util.concurrent.ConcurrentHashMap
+
+abstract class AbstractMappingProcessLoader<
+        GRAPH_TYPE: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_DEF_TYPE: GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE : GeneratedMessageV3,
+        DATA_TYPE: ProtocolMessageEnum>( opMappingRegistry : OpMappingRegistry):
+    MappingProcessLoader {
+    val attributeRules = HashMap>>()
+    val tensorRules = HashMap>>()
+    val opMappingRegistry = opMappingRegistry
+    init {
+        val scannedClasses =   ClassGraph().enableAllInfo()
+            .scan()
+        scannedClasses.getClassesImplementing(AttributeMappingRule::class.java.name).filter {
+                clazz-> !clazz.isAbstract
+                && !clazz.isAnnotation
+                && !clazz.isInterface
+                && clazz.hasAnnotation(MappingRule::class.java.name)
+                && clazz.annotationInfo.first { annotationInfo -> annotationInfo.name == MappingRule::class.java.name }
+            .parameterValues["frameworkName"].value.toString() == frameworkName()
+        }.forEach { classInfo ->
+            val ruleName = classInfo.annotationInfo.first { annotationInfo -> annotationInfo.name ==  MappingRule::class.java.name }.parameterValues["ruleName"].value.toString()
+            val type = classInfo.annotationInfo.first { annotationInfo -> annotationInfo.name == MappingRule::class.java.name }.parameterValues["type"].value.toString()
+            if(type == "attribute") {
+                val clazz =  Class.forName(classInfo.name)
+                        as Class>
+
+                attributeRules[ruleName] = clazz
+            } else if(type == "tensor") {
+                val clazz =  Class.forName(classInfo.name)
+                        as Class>
+
+                tensorRules[ruleName] = clazz
+            }
+        }
+
+        scannedClasses.getClassesImplementing(TensorMappingRule::class.java.name).filter {
+                clazz-> !clazz.isAbstract
+                && !clazz.isAnnotation
+                && !clazz.isInterface
+                && clazz.hasAnnotation(MappingRule::class.java.name)
+                && clazz.annotationInfo.first { annotationInfo -> annotationInfo.name == MappingRule::class.java.name }
+            .parameterValues["frameworkName"].value.toString() == frameworkName()
+        }.forEach { classInfo ->
+            val ruleName = classInfo.annotationInfo.first { annotationInfo -> annotationInfo.name ==  MappingRule::class.java.name }.parameterValues["ruleName"].value.toString()
+            val clazz =  Class.forName(classInfo.name)
+                    as Class>
+
+            tensorRules[ruleName] = clazz
+        }
+
+    }
+
+    override fun createProcess(declaration: MapperNamespace.MapperDeclaration): MappingProcess {
+        val listOfTensorRules = ArrayList>()
+        val listOfAttributeRules = ArrayList>()
+        val dictClass = TypeUtils.parameterize(Map::class.java,String::class.java,String::class.java).rawType as Class>
+        val transformerArgsClass = TypeUtils.parameterize(Map::class.java,String::class.java,
+            TypeUtils.parameterize(List::class.java,
+                OpNamespace.ArgDescriptor::class.java)).rawType as Class>>
+        declaration.ruleList.forEach { rule ->
+            when(rule.ruleType) {
+                "tensor" -> {
+                    val clazz = tensorRuleRegistry()[rule.ruleName]!!.getConstructor(dictClass,transformerArgsClass)
+                    val transformerArgs = ConcurrentHashMap>()
+                    rule.transformerArgsList.forEach { arg ->
+                        transformerArgs[arg.key] = arg.transformerArgsList
+                    }
+
+                    val instance = clazz.newInstance(rule.inputToOutputMap,transformerArgs)
+                    listOfTensorRules.add(instance)
+
+                }
+                "attribute" -> {
+                    val transformerArgs = ConcurrentHashMap>()
+                    rule.transformerArgsList.forEach { arg ->
+                        transformerArgs[arg.key] = arg.transformerArgsList
+                    }
+
+                    val constructor = attributeRuleRegistry()[rule.ruleName]!!.constructors.firstOrNull {
+                            constructor -> constructor.parameterCount == 1 || constructor.parameterCount == 2
+                    }
+
+
+                    if(constructor == null) {
+                        throw IllegalArgumentException("No constructor found with parameter count < 3! Rule name ${rule.ruleName}")
+                    }
+
+                    if(constructor!!.parameterCount == 1) {
+                        val instance = constructor!!.newInstance(rule.inputToOutputMap) as AttributeMappingRule
+                        instance.setMappingTransformerArgs(transformerArgs)
+                        instance.setMappingTransformerArgs(transformerArgs)
+                        instance.modifyName(rule.ruleName)
+                        instance.modifyInputFrameworkOpName(rule.inputFrameworkOpName)
+                        listOfAttributeRules.add(instance)
+                    } else if(constructor!!.parameterCount == 2) {
+                        val instance = constructor.newInstance(rule.inputToOutputMap,transformerArgs) as AttributeMappingRule
+
+                        instance.setMappingTransformerArgs(transformerArgs)
+                        instance.modifyName(rule.ruleName)
+                        instance.modifyInputFrameworkOpName(rule.inputFrameworkOpName)
+
+                        listOfAttributeRules.add(instance)
+                    } else {
+                        throw IllegalArgumentException("No constructor found with parameter count < 3 for op " + declaration.opName)
+                    }
+
+
+
+
+                }
+            }
+        }
+
+        val indexOverridesConverted = HashMap()
+        declaration.indexOverridesMap.forEach { input, output ->
+            indexOverridesConverted[input.toInt()] = output.toInt()
+        }
+
+        return instantiateMappingProcess(
+            inputFrameworkOpName = declaration.inputFrameworkOpName,
+            opName = declaration.opName,
+            attributeMappingRules = listOfAttributeRules,
+            tensorMappingRules = listOfTensorRules,
+            opMappingRegistry = opMappingRegistry,
+            indexOverrides = indexOverridesConverted)
+    }
+
+    abstract fun instantiateMappingProcess(inputFrameworkOpName: String,opName:String,
+                                           attributeMappingRules: List>,
+                                           tensorMappingRules: List>,
+                                           opMappingRegistry: OpMappingRegistry,
+                                           indexOverrides: Map
+    ): MappingProcess
+
+    override fun tensorRuleRegistry(): Map>> {
+        return tensorRules as Map>>
+    }
+
+    override fun attributeRuleRegistry(): Map>> {
+        return attributeRules as Map>>
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/MappingProcess.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/MappingProcess.kt
new file mode 100644
index 000000000..18d3b7709
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/MappingProcess.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.process
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface MappingProcess<
+        GRAPH_TYPE: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_DEF_TYPE: GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE : GeneratedMessageV3,
+        DATA_TYPE: ProtocolMessageEnum> {
+
+
+
+    fun inputOpDefValueTypes(): Map
+
+    fun opName(): String
+
+    fun frameworkVersion(): String
+
+    fun inputFramework(): String
+
+    fun inputFrameworkOpName(): String
+
+    fun attributeMappingRules(): List>
+
+    fun tensorMappingRules():  List>
+
+    fun applyProcess(mappingCtx: MappingContext
+    ):
+            Pair, OpNamespace.OpDescriptor>
+
+    fun applyProcessReverse(input: OpNamespace.OpDescriptor): IRNode
+
+
+    fun indexOverrides() : Map
+
+    fun serialize(): MapperNamespace.MapperDeclaration
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/MappingProcessLoader.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/MappingProcessLoader.kt
new file mode 100644
index 000000000..53a9cd24f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/process/MappingProcessLoader.kt
@@ -0,0 +1,52 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.process
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface MappingProcessLoader<
+        GRAPH_TYPE: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_DEF_TYPE: GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_TYPE : GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE : GeneratedMessageV3,
+        DATA_TYPE: ProtocolMessageEnum> {
+
+    fun createProcess(declaration: MapperNamespace.MapperDeclaration): MappingProcess<
+            GRAPH_TYPE,
+            OP_DEF_TYPE,
+            NODE_DEF_TYPE,
+            TENSOR_TYPE,
+            ATTRIBUTE_TYPE,
+            ATTRIBUTE_VALUE_TYPE,
+            DATA_TYPE>
+
+    fun attributeRuleRegistry(): Map>>
+
+    fun tensorRuleRegistry(): Map>>
+
+    fun frameworkName(): String
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/reflect/ImportReflectionCache.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/reflect/ImportReflectionCache.kt
new file mode 100644
index 000000000..54f0d5d39
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/reflect/ImportReflectionCache.kt
@@ -0,0 +1,91 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.reflect
+
+import io.github.classgraph.ClassGraph
+import org.nd4j.samediff.frameworkimport.hooks.PostImportHook
+import org.nd4j.samediff.frameworkimport.hooks.PreImportHook
+import org.nd4j.samediff.frameworkimport.hooks.annotations.PostHookRule
+import org.nd4j.samediff.frameworkimport.hooks.annotations.PreHookRule
+
+object ImportReflectionCache {
+
+    val scannedClasses =   ClassGraph().enableAllInfo()
+        .scan()
+
+    //all relevant node names relevant for
+    val preProcessRuleImplementationsByNode = HashMap>()
+    val postProcessRuleImplementationsByNode = HashMap>()
+    //all relevant op names hook should be useful for
+    val preProcessRuleImplementationsByOp = HashMap>()
+    val postProcessRuleImplementationsByOp = HashMap>()
+
+    init {
+        scannedClasses.getClassesImplementing(PreImportHook::class.java.name).filter { input -> input.hasAnnotation(PreHookRule::class.java.name) }.forEach {
+            val instance = Class.forName(it.name).getDeclaredConstructor().newInstance() as PreImportHook
+            val rule = it.annotationInfo.first { input -> input.name == PreHookRule::class.java.name }
+            val nodeNames = rule.parameterValues["nodeNames"].value as Array
+            nodeNames.forEach { nodeName ->
+                if(!preProcessRuleImplementationsByNode.containsKey(nodeName)) {
+                    preProcessRuleImplementationsByNode[nodeName] = ArrayList()
+                }
+
+                preProcessRuleImplementationsByNode[nodeName]!!.add(instance)
+
+            }
+            val opNames = rule.parameterValues["opNames"].value as Array
+            opNames.forEach { opName ->
+                if(!preProcessRuleImplementationsByOp.containsKey(opName)) {
+                    preProcessRuleImplementationsByNode[opName] = ArrayList()
+                }
+
+                preProcessRuleImplementationsByOp[opName]!!.add(instance)
+            }
+        }
+
+        scannedClasses.getClassesImplementing(PostImportHook::class.java.name).filter { input -> input.hasAnnotation(PostHookRule::class.java.name) }.forEach {
+            val instance = Class.forName(it.name).getDeclaredConstructor().newInstance() as PostImportHook
+            val rule = it.annotationInfo.first { input -> input.name == PostHookRule::class.java.name }
+            val nodeNames = rule.parameterValues["nodeNames"].value as Array
+            nodeNames.forEach { nodeName ->
+                if(!postProcessRuleImplementationsByNode.containsKey(nodeName)) {
+                    postProcessRuleImplementationsByNode[nodeName] = ArrayList()
+                }
+
+                postProcessRuleImplementationsByNode[nodeName]!!.add(instance)
+            }
+
+            val opNames = rule.parameterValues["opNames"].value as Array
+            opNames.forEach { opName ->
+                if(!postProcessRuleImplementationsByOp.containsKey(opName)) {
+                    postProcessRuleImplementationsByOp[opName] = ArrayList()
+                }
+
+                postProcessRuleImplementationsByOp[opName]!!.add(instance)
+            }
+
+
+        }
+
+
+    }
+
+}
+
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/registry/ObjectRegistryHolder.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/registry/ObjectRegistryHolder.kt
new file mode 100644
index 000000000..ef24a990d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/registry/ObjectRegistryHolder.kt
@@ -0,0 +1,96 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.registry
+
+import onnx.Onnx
+import org.apache.commons.collections4.multimap.HashSetValuedHashMap
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import org.tensorflow.framework.*
+import java.lang.IllegalStateException
+
+object OpRegistryHolder {
+
+    private val registeredOps = HashSetValuedHashMap>()
+    private val opDefLists = HashMap>()
+
+    fun  opMappingRegistryForName(name: String) : OpMappingRegistry {
+        if(!registeredOps.containsKey(name)) {
+            throw IllegalArgumentException("FRAMEWORK $name not found!")
+        }
+        return registeredOps[name].first() as OpMappingRegistry
+
+    }
+
+
+    fun onnx(): OpMappingRegistry {
+        return registeredOps["onnx"].first() as OpMappingRegistry
+    }
+
+    fun tensorflow(): OpMappingRegistry {
+        return registeredOps["tensorflow"].first() as OpMappingRegistry
+    }
+
+    fun  opListForFramework(frameworkName: String): Map {
+        return opDefLists[frameworkName] as Map
+    }
+
+    fun  registerOpList(inputFrameworkName: String,opDefMap: Map) {
+        opDefLists[inputFrameworkName] = opDefMap
+
+    }
+
+    fun registerOpMappingRegistry(framework: String, registry: OpMappingRegistry) {
+        registeredOps.put(framework,registry)
+    }
+
+    fun 
+            registerMappingProcess(inputFrameworkOpName: String, processToRegister: MappingProcess) {
+        registeredOps.put(inputFrameworkOpName,processToRegister as OpMappingRegistry
+        )
+    }
+
+    fun  
+            lookupOpMappingProcess(inputFrameworkName: String, inputFrameworkOpName: String):
+            MappingProcess {
+       if(registeredOps[inputFrameworkName].isEmpty())
+           throw IllegalStateException("No register ops found for framework name $inputFrameworkName")
+        val mappingRegistry = registeredOps[inputFrameworkName].first()
+        val lookup = mappingRegistry.lookupOpMappingProcess(inputFrameworkOpName = inputFrameworkOpName)
+        return lookup as MappingProcess
+    }
+}
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/registry/OpMappingRegistry.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/registry/OpMappingRegistry.kt
new file mode 100644
index 000000000..971a552ef
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/registry/OpMappingRegistry.kt
@@ -0,0 +1,205 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.registry
+
+import org.apache.commons.collections4.MultiSet
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import org.apache.commons.collections4.MultiValuedMap
+import org.apache.commons.collections4.multimap.HashSetValuedHashMap
+import org.apache.commons.io.FileUtils
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.process.MappingProcessLoader
+import org.nd4j.shade.protobuf.TextFormat
+import java.io.File
+import java.lang.IllegalArgumentException
+import java.nio.charset.Charset
+
+
+class OpMappingRegistry(inputFrameworkName: String,nd4jOpDescriptors: OpNamespace.OpDescriptorList) {
+
+    val registeredOps: MultiValuedMap> = HashSetValuedHashMap<
+            String,MappingProcess>()
+
+    val opDefList = HashMap()
+    val nd4jOpDefs = HashMap()
+    val inputFrameworkName = inputFrameworkName
+    val nd4jOpDescriptors = nd4jOpDescriptors
+
+
+    fun mappedNd4jOpNames(): Set {
+        return registeredOps.values().map { input -> input.opName() }.toSortedSet()!!
+    }
+
+    fun mappingProcessNames(): MultiSet {
+        return registeredOps.keys()!!
+    }
+
+    fun nd4jOpNames(): Set {
+        return nd4jOpDefs.keys
+    }
+
+    fun inputFrameworkOpNames(): Set {
+        return opDefList.keys
+    }
+
+    fun lookupNd4jOpDef(name:String): OpNamespace.OpDescriptor {
+        return nd4jOpDefs[name]!!
+    }
+
+    fun registerOpDefs(opDefList: Map) {
+        opDefList.forEach { (name,inputOpDef) ->
+            registerInputFrameworkOpDef(name,inputOpDef)
+        }
+    }
+
+    fun registerNd4jOpDef(name:String, opDef: OpNamespace.OpDescriptor) {
+        nd4jOpDefs[name] = opDef
+    }
+
+    fun lookupInputFrameworkOpDef(name:String): OP_DEF_TYPE {
+        if(opDefList.isEmpty()) {
+            val opList =  OpDescriptorLoaderHolder.listForFramework(inputFrameworkName)
+            opList.forEach {  name,opDefType ->
+                opDefList[name] = opDefType
+            }
+        }
+        return opDefList[name]!!
+    }
+
+    fun registerInputFrameworkOpDef(name: String,opDef: OP_DEF_TYPE) {
+        opDefList[name] = opDef
+    }
+
+    fun registerMappingProcess(inputFrameworkOpName: String, processToRegister: MappingProcess) {
+        registeredOps.put(inputFrameworkOpName,processToRegister)
+    }
+
+    fun hasMappingOpProcess(inputFrameworkOpName: String): Boolean {
+        return registeredOps.containsKey(inputFrameworkOpName)
+    }
+
+
+    fun  lookupOpMappingProcess(inputFrameworkOpName: String): MappingProcess<
+            GRAPH_TYPE,
+            OP_DEF_TYPE,
+            NODE_TYPE,
+            TENSOR_TYPE,
+            ATTRIBUTE_TYPE,
+            ATTRIBUTE_VALUE_TYPE,
+            DATA_TYPE> {
+
+
+        if(!registeredOps.containsKey(inputFrameworkOpName)) {
+            throw IllegalArgumentException("No import process defined for $inputFrameworkOpName")
+        }
+        return registeredOps[inputFrameworkOpName]!!.first()
+    }
+
+    fun opTypeForName(nd4jOpName: String): OpNamespace.OpDescriptor.OpDeclarationType {
+        val descriptor = nd4jOpDescriptors.findOp(nd4jOpName)
+        return descriptor.opDeclarationType
+    }
+
+    /**
+     * TODO: Make loading op mapping rules (both tensor and attribute), input framework op definitions casted as
+     * OP_DEF_TYPE and op descriptors file.
+     *
+     * TODO: Get rid of static global constants (onnxops,tensorflow ops)
+     * TODO: See if possible to genericize lists of ops
+     */
+    fun loadFromFile(mapperDeclarationsFile: String,
+                     mappingProcessLoader: MappingProcessLoader) {
+
+        val loadedFile = File(mapperDeclarationsFile)
+        val bytes = FileUtils.readFileToByteArray(loadedFile)
+        val parsed = MapperNamespace.MappingDefinitionSet.newBuilder()
+        val string = String(bytes, Charset.defaultCharset())
+        TextFormat.merge(string,parsed)
+        val defs = parsed.build()
+        loadFromDefinitions(defs,mappingProcessLoader)
+    }
+
+
+    /**
+     * TODO: Make loading op mapping rules (both tensor and attribute), input framework op definitions casted as
+     * OP_DEF_TYPE and op descriptors file.
+     *
+     * TODO: Get rid of static global constants (onnxops,tensorflow ops)
+     * TODO: See if possible to genericize lists of ops
+     */
+    fun loadFromDefinitions(mapperDeclarations: MapperNamespace.MappingDefinitionSet,
+                            mappingProcessLoader: MappingProcessLoader) {
+        mapperDeclarations.mappingsList.forEach {
+            val process = mappingProcessLoader.createProcess(it)
+            this.registerMappingProcess(it.inputFrameworkOpName,process)
+        }
+
+    }
+
+
+    fun saveProcessesAndRuleSet() {
+        val mapperDeclarations = ArrayList()
+        val bufferToWrite = StringBuilder()
+        registeredOps.asMap().forEach { name, listOfMappingProcesses ->
+            listOfMappingProcesses.forEach { mappingProcess ->
+                mapperDeclarations.add(mappingProcess.serialize())
+            }
+
+            mapperDeclarations.map { input -> input.toString() }.forEach { processString ->
+                bufferToWrite.append(processString + "\n")
+            }
+
+        }
+
+        val mapperSet = MapperNamespace.MappingDefinitionSet.newBuilder()
+        mapperSet.addAllMappings(mapperDeclarations)
+
+        val finalSet = mapperSet.build()
+
+        FileUtils.write(File("$inputFrameworkName-processes.pbtxt"),finalSet.toString(), Charset.defaultCharset())
+
+    }
+
+}
+
+
+
+
+
+
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/MappingRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/MappingRule.kt
new file mode 100644
index 000000000..f32f8564d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/MappingRule.kt
@@ -0,0 +1,22 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule
+
+annotation class MappingRule(val frameworkName: String,val ruleName: String,val type: String)
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ArgDescriptorConstant.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ArgDescriptorConstant.kt
new file mode 100644
index 000000000..0b1397493
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ArgDescriptorConstant.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ArgDescriptorConstant<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map = emptyMap(),
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "argdescriptorconstant",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return true
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return true
+    }
+
+    override fun convertAttributes(
+        mappingCtx: MappingContext
+    ): List {
+        return transformerArgs.flatMap {
+            it.value.map { descriptor ->
+                ArgDescriptor {
+                    name = descriptor.name
+                    argIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = descriptor.name,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = descriptor.argType
+                    )
+                    argType = descriptor.argType
+                    boolValue = descriptor.boolValue
+                    floatValue = descriptor.floatValue
+                    doubleValue = descriptor.doubleValue
+                    int32Value = descriptor.int32Value
+                    int64Value = descriptor.int64Value
+                    stringValue = descriptor.stringValue
+                    inputValue = descriptor.inputValue
+                    outputValue = descriptor.outputValue
+
+                }
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeMappingRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeMappingRule.kt
new file mode 100644
index 000000000..d96062823
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeMappingRule.kt
@@ -0,0 +1,75 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface AttributeMappingRule
+        where DATA_TYPE: ProtocolMessageEnum {
+
+    fun initWithMappingProcess(mappingProcess: MappingProcess)
+
+    fun mappingNamesToPerform(): Map
+
+    fun mappingTransformerArgs(): Map>
+
+    fun setMappingTransformerArgs(args: Map>)
+
+    fun name(): String
+
+    fun modifyName(name: String)
+
+    fun modifyInputFrameworkOpName(name: String)
+
+    fun serialize(): MapperNamespace.MappingRule
+
+    fun convertAttributes(mappingCtx: MappingContext): List
+
+    fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List>
+
+
+    fun isInputFrameworkTensorName(name: String,mappingProcess: MappingProcess): Boolean
+
+    fun isNd4jTensorName(name: String,mappingProcess: MappingProcess): Boolean
+
+    fun isInputFrameworkAttributeName(name: String,mappingProcess: MappingProcess): Boolean
+
+    fun isOutputFrameworkAttributeName(name: String,mappingProcess: MappingProcess): Boolean
+
+    fun argDescriptorType(name: String,mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType
+
+    fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean
+
+    fun outputsType(argDescriptorType: List): Boolean
+
+    fun attributeValueTypeFor(name: String,mappingProcess: MappingProcess): AttributeValueType
+
+    fun argDescriptorTypesForOutputName(
+        name: String, mappingProcess:
+        MappingProcess
+    ): List
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeNDArrayToScalarAttribute.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeNDArrayToScalarAttribute.kt
new file mode 100644
index 000000000..22036e070
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeNDArrayToScalarAttribute.kt
@@ -0,0 +1,96 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class AttributeNDArrayToScalarAttribute<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>) :
+    BaseAttributeExtractionRule
+        (
+        name = "attributendarraytoscalarattribute",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.DOUBLE) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT32)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val irAttribute = mappingCtx.tensorAttributeFor(v).toNd4jNDArray()
+            val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingCtx.opName())
+            val realDataType = argDescriptorType(k, nd4jOpDescriptor)
+            when(realDataType) {
+                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                        name = k
+                        doubleValue = irAttribute.getDouble(0)
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                        )
+                    })
+                }
+
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        name = k
+                        int64Value = irAttribute.getInt(0).toLong()
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        )
+                    })
+                }
+            }
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeNumberListNDArray.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeNumberListNDArray.kt
new file mode 100644
index 000000000..9d359880e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeNumberListNDArray.kt
@@ -0,0 +1,102 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.nameSpaceTensorFromNDarray
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class AttributeNumberListNDArray<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "convertinputnumberlisttondarray",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.LIST_FLOAT ||
+                argDescriptorType == AttributeValueType.LIST_INT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            when (irAttribute.attributeValueType()) {
+                AttributeValueType.LIST_FLOAT -> {
+                    val listArr = irAttribute.listFloatValue().toFloatArray()
+                    val ndarray = Nd4j.create(listArr)
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        name = k
+                        inputValue = nameSpaceTensorFromNDarray(ndarray)
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                        )
+                    })
+                }
+
+                AttributeValueType.LIST_INT -> {
+                    val intArr = irAttribute.listIntValue().toLongArray()
+                    val strides = Nd4j.getStrides(1, 4).toList().map { it.toLong() }.toLongArray()
+                    val ndarray =
+                        Nd4j.create(intArr, longArrayOf(1, intArr.size.toLong()), strides, 'c', DataType.INT64)
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        name = k
+                        inputValue = nameSpaceTensorFromNDarray(ndarray)
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        )
+                    })
+                }
+
+            }
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeScalarNDArrayAttribute.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeScalarNDArrayAttribute.kt
new file mode 100644
index 000000000..ef521885d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeScalarNDArrayAttribute.kt
@@ -0,0 +1,96 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.nameSpaceTensorFromNDarray
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class AttributeScalarNDArrayAttribute<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "attributescalarndarrayattribute",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.FLOAT || argDescriptorType == AttributeValueType.INT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            when (irAttribute.attributeValueType()) {
+                AttributeValueType.FLOAT -> {
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        name = k
+                        inputValue = nameSpaceTensorFromNDarray(Nd4j.scalar(irAttribute.floatValue()).reshape(1, 1))
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        )
+                    })
+                }
+
+                AttributeValueType.INT -> {
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        name = k
+                        inputValue = nameSpaceTensorFromNDarray(Nd4j.scalar(irAttribute.intValue()).reshape(1, 1))
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        )
+                    })
+                }
+                else -> {
+                    throw IllegalArgumentException("Attribute $v is not a valid type. Type was ${irAttribute.attributeValueType()}")
+                }
+
+            }
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeValueType.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeValueType.kt
new file mode 100644
index 000000000..392fb49f6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/AttributeValueType.kt
@@ -0,0 +1,35 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+enum class AttributeValueType {
+    FLOAT,
+    LIST_FLOAT,
+    INT,
+    LIST_INT,
+    BOOL,
+    LIST_BOOL,
+    STRING,
+    LIST_STRING,
+    TENSOR,
+    LIST_TENSOR,
+    DATA_TYPE,
+    INVALID
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/BaseAttributeExtractionRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/BaseAttributeExtractionRule.kt
new file mode 100644
index 000000000..b83a0441b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/BaseAttributeExtractionRule.kt
@@ -0,0 +1,186 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class BaseAttributeExtractionRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(
+    name: String,
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>):
+    AttributeMappingRule
+        where DATA_TYPE: ProtocolMessageEnum {
+
+    protected var opDescriptor: OpNamespace.OpDescriptor? = null
+    protected var mappingNamesToPerform = mappingNamesToPerform
+    protected var frameworkName: String?  = null
+    protected var inputFrameworkOpName: String? = null
+    protected var transformerArgs = transformerArgs
+    protected var name = name
+    protected var inputOpDefTypes: Map? = null
+
+    override fun setMappingTransformerArgs(args: Map>) {
+        this.transformerArgs = args
+    }
+
+    override fun modifyName(name: String) {
+        this.name = name
+    }
+
+    override fun modifyInputFrameworkOpName(name: String) {
+        this.inputFrameworkOpName = name
+    }
+
+    override fun initWithMappingProcess(mappingProcess: MappingProcess) {
+        this.opDescriptor  = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        this.frameworkName = mappingProcess.inputFramework()
+        this.inputFrameworkOpName = mappingProcess.inputFrameworkOpName()
+        this.inputOpDefTypes = mappingProcess.inputOpDefValueTypes()
+    }
+
+    override fun mappingNamesToPerform(): Map {
+        return mappingNamesToPerform
+    }
+
+    override fun name(): String {
+        return name
+    }
+
+    override fun mappingTransformerArgs(): Map> {
+        return transformerArgs
+    }
+
+
+    abstract fun createIRAttribute(name: String, attrDef: ATTR_DEF, attributeValueType: ATTR_VALUE_TYPE): IRAttribute
+
+
+    override fun serialize(): MapperNamespace.MappingRule {
+        val builder = MapperNamespace.MappingRule.newBuilder()
+        builder.ruleName = name()
+        builder.functionName = name()
+        builder.ruleType = "attribute"
+        builder.inputFrameworkOpName = this.inputFrameworkOpName
+        val descriptorList = opDescriptor!!.argDescriptorList
+        println("Serializing op ${opDescriptor!!.name}")
+        for ((k, v) in transformerArgs) {
+            v.forEach { descriptor ->
+                when (descriptor.argType) {
+                    OpNamespace.ArgDescriptor.ArgType.STRING -> builder.addInputStringAttrName(descriptor.name)
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addInputBooleanName(descriptor.name)
+                    OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addInputFloatName(descriptor.name)
+                    OpNamespace.ArgDescriptor.ArgType.INT32, OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addInputIntName(descriptor.name)
+                    OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(descriptor.name)
+                }
+
+                builder.addTransformerArgs(MapperNamespace.TransformerArgs.newBuilder().setKey(k).addAllTransformerArgs(v))
+            }
+
+        }
+
+        /**
+         * TODO: metadata (perhaps looking up from each framework for each attribute)
+         * what each named type is.
+         */
+        mappingNamesToPerform.forEach { outputName, inputName ->
+            val descriptorForName = opDescriptor!!.argDescriptorList.first { descriptor -> descriptor.name == outputName }
+            builder.putInputToOutput(outputName,inputName)
+            when(descriptorForName.argType) {
+                OpNamespace.ArgDescriptor.ArgType.BOOL -> { builder.addOutputBooleanName(outputName)}
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> {builder.addOutputIntName(outputName)}
+                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {builder.addOutputDoubleName(outputName)}
+                OpNamespace.ArgDescriptor.ArgType.DATA_TYPE -> builder.addOutputDataTypeName(outputName)
+                OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR -> builder.addOutputTensorName(outputName)
+                OpNamespace.ArgDescriptor.ArgType.STRING -> builder.addOutputStringAttrName(outputName)
+            }
+
+            //not all associated outputs will have inputs
+            if(inputOpDefTypes!!.containsKey(inputName)) {
+                when(inputOpDefTypes!![inputName]!!) {
+                    AttributeValueType.FLOAT -> builder.addInputFloatName(inputName)
+                    AttributeValueType.INT -> builder.addInputIntName(inputName)
+                    AttributeValueType.BOOL -> builder.addInputBooleanName(inputName)
+                    AttributeValueType.STRING -> builder.addInputStringAttrName(inputName)
+                    AttributeValueType.DATA_TYPE -> builder.addInputDataTypeName(inputName)
+                    AttributeValueType.TENSOR -> builder.addInputTensorName(inputName)
+                }
+
+            }
+
+
+
+        }
+
+
+        return builder.build()
+    }
+
+    override fun argDescriptorTypesForOutputName(
+        name: String, mappingProcess:
+        MappingProcess): List {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        val names = nd4jOpDescriptor.argDescriptorList.map { input -> input.name }
+        if(!names.contains(name)) {
+            throw java.lang.IllegalArgumentException("Unable to find name $name for op $nd4jOpDescriptor.name")
+        }
+
+        return nd4jOpDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.name == name }.map { argDescriptor -> argDescriptor.argType}
+    }
+
+    override fun equals(other: Any?): Boolean {
+        if (this === other) return true
+        if (other !is BaseAttributeExtractionRule<*, *, *, *, *, *, *>) return false
+
+        if (mappingNamesToPerform != other.mappingNamesToPerform) return false
+        if (frameworkName != other.frameworkName) return false
+        if (transformerArgs != other.transformerArgs) return false
+        if (name != other.name) return false
+        if (inputOpDefTypes != other.inputOpDefTypes) return false
+
+        return true
+    }
+
+    override fun hashCode(): Int {
+        var result = opDescriptor?.hashCode() ?: 0
+        result = 31 * result + mappingNamesToPerform.hashCode()
+        result = 31 * result + (frameworkName?.hashCode() ?: 0)
+        result = 31 * result + (inputFrameworkOpName?.hashCode() ?: 0)
+        result = 31 * result + transformerArgs.hashCode()
+        result = 31 * result + name.hashCode()
+        result = 31 * result + (inputOpDefTypes?.hashCode() ?: 0)
+        return result
+    }
+
+    override fun toString(): String {
+        return "BaseAttributeExtractionRule(mappingNamesToPerform=$mappingNamesToPerform, frameworkName=$frameworkName, inputFrameworkOpName=$inputFrameworkOpName, transformerArgs=$transformerArgs, name='$name', inputOpDefTypes=$inputOpDefTypes)"
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ConditionalFieldValueIntIndexArrayRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ConditionalFieldValueIntIndexArrayRule.kt
new file mode 100644
index 000000000..898c5147f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ConditionalFieldValueIntIndexArrayRule.kt
@@ -0,0 +1,74 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ConditionalFieldValueIntIndexArrayRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(mappingNamesToPerform: Map,
+                                                     transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "conditionalfieldvalueintindex", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs)
+        where  DATA_TYPE: ProtocolMessageEnum {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.STRING || argDescriptorType == AttributeValueType.INT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for((k, v) in mappingNamesToPerform()) {
+            val listOfArgs  = transformerArgs[k]
+            val inputArr = mappingCtx.irAttributeValueForNode(listOfArgs!![3].stringValue).listIntValue()
+            val trueIndex = listOfArgs!![1].int64Value
+            val falseIndex = listOfArgs!![2].int64Value
+            val targetValueToTest = listOfArgs!![0].stringValue
+            val testValue = mappingCtx.irAttributeValueForNode(v).stringValue()
+            val intValueToSet = if (testValue == targetValueToTest)  inputArr[trueIndex.toInt()] else inputArr[falseIndex.toInt()]
+            ret.add(ArgDescriptor {
+                name = v
+                int64Value = intValueToSet
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                )
+            })
+
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ConditionalFieldValueIntIndexNDArrayRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ConditionalFieldValueIntIndexNDArrayRule.kt
new file mode 100644
index 000000000..ecfc861ea
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ConditionalFieldValueIntIndexNDArrayRule.kt
@@ -0,0 +1,73 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ConditionalFieldValueIntIndexNDArrayRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(mappingNamesToPerform: Map,
+                                                     transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "conditionalfieldvalueintindexndarray", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs)
+        where  DATA_TYPE: ProtocolMessageEnum {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR || argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for((k, v) in mappingNamesToPerform()) {
+            val listOfArgs  = transformerArgs[k]
+            val inputArr = mappingCtx.tensorInputFor(listOfArgs!![3].stringValue).toNd4jNDArray().ravel()
+            val trueIndex = listOfArgs!![1].int32Value
+            val falseIndex = listOfArgs!![2].int32Value
+            val targetValueToTest = listOfArgs!![0].stringValue
+            val testValue = mappingCtx.irAttributeValueForNode(v).stringValue()
+            val intValueToSet = if (testValue == targetValueToTest)  inputArr.getInt(trueIndex) else inputArr.getInt(falseIndex)
+            ret.add(ArgDescriptor {
+                name = v
+                int64Value = intValueToSet.toLong()
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                )
+            })
+
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/DataTypeToInt.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/DataTypeToInt.kt
new file mode 100644
index 000000000..5456d1a94
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/DataTypeToInt.kt
@@ -0,0 +1,73 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class DataTypeToInt<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "datatypetoint",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.DATA_TYPE
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val irAttribute = mappingCtx.irAttributeValueForNode(v).dataTataTypeValue()
+            ret.add(ArgDescriptor {
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                name = k
+                int64Value = intArgFromDataType(irAttribute.nameSpaceDataType()).toLong()
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                )
+            })
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/FlattenDims.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/FlattenDims.kt
new file mode 100644
index 000000000..1bd74e3aa
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/FlattenDims.kt
@@ -0,0 +1,112 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.common.util.ArrayUtil
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class FlattenDims<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map = emptyMap(),
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "flattendims",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.LIST_INT ||
+                argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64) || argDescriptorType.contains(
+            OpNamespace.ArgDescriptor.ArgType.INT32)
+    }
+
+    override fun convertAttributes(
+        mappingCtx: MappingContext
+    ): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val attr = mappingCtx.irAttributeValueForNode(v)
+            val transformerArgs = transformerArgs[k]
+            val baseIndex  = lookupIndexForArgDescriptor(
+                argDescriptorName = k,
+                opDescriptorName = mappingCtx.nd4jOpName(),
+                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+            )
+
+            val axis = transformerArgs!![0]!!.int64Value
+
+            when(attr.attributeValueType()) {
+                AttributeValueType.TENSOR -> {
+                    val inputTensor = mappingCtx.tensorInputFor(v)
+                    val asAxisList = inputTensor.toNd4jNDArray().toLongVector().toMutableList()
+                    addToList(ret,k,baseIndex,axis,asAxisList)
+
+                }
+
+                AttributeValueType.LIST_INT -> {
+                    val axis = transformerArgs!![0]!!.int64Value
+                    val axisList = mappingCtx.irAttributeValueForNode(v).listIntValue()
+                    addToList(ret,k,baseIndex,axis,axisList)
+                }
+            }
+
+        }
+
+        return ret
+    }
+
+    fun addToList(ret: MutableList,k: String,baseIndex: Int,axis: Long,axisList: List) {
+        val beforeAccessProdValue = if(axis.toInt() == 0) 1L else ArrayUtil.prodLong(axisList.subList(0,axis.toInt()))
+        val prodValue = ArrayUtil.prodLong(axisList.subList(axis.toInt(),axisList.size - 1))
+
+        ret.add(ArgDescriptor {
+            int64Value = beforeAccessProdValue
+            argIndex = baseIndex
+            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            name = k
+        })
+
+        ret.add(ArgDescriptor {
+            int64Value = prodValue
+            argIndex = baseIndex + 1
+            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            name = k
+        })
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/IRMappingFunctions.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/IRMappingFunctions.kt
new file mode 100644
index 000000000..848da358b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/IRMappingFunctions.kt
@@ -0,0 +1,86 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.common.base.Preconditions
+import org.nd4j.ir.TensorNamespace
+
+
+//source:  https://github.com/eclipse/deeplearning4j/blob/63fa3c2ef3c4e5e33cdb99bb4804997b40ad4590/libnd4j/include/array/DataType.h#L39
+
+/**
+ * Referenced from https://github.com/eclipse/deeplearning4j/blob/63fa3c2ef3c4e5e33cdb99bb4804997b40ad4590/libnd4j/include/array/DataType.h
+ * Used to convert ints to data types. These ints are used in certain ops where an int is taken in for expressing a data type.
+ */
+fun dataTypeFromInt(inputInt: Int): TensorNamespace.DataType {
+    when(inputInt) {
+        1 -> return TensorNamespace.DataType.BOOL
+        2 -> return TensorNamespace.DataType.BFLOAT16
+        3 -> return TensorNamespace.DataType.FLOAT16
+        4 -> return TensorNamespace.DataType.FLOAT
+        5 -> return TensorNamespace.DataType.FLOAT
+        6 -> return TensorNamespace.DataType.DOUBLE
+        7 -> return TensorNamespace.DataType.INT8
+        8 -> return TensorNamespace.DataType.INT16
+        9 -> return TensorNamespace.DataType.INT32
+        10 -> return TensorNamespace.DataType.INT64
+        11 -> return TensorNamespace.DataType.UINT8
+        12 -> return TensorNamespace.DataType.UINT16
+        13 -> return TensorNamespace.DataType.UINT32
+        14 -> return TensorNamespace.DataType.UINT64
+        17 -> return TensorNamespace.DataType.BFLOAT16
+        50,51,52 -> return TensorNamespace.DataType.STRING
+        else -> return TensorNamespace.DataType.UNDEFINED
+
+    }
+}
+
+/**
+ * Reverse of [dataTypeFromInt]
+ * converts an int argument to a [TensorNamespace.DataType]
+ */
+fun intArgFromDataType(inputDataType: TensorNamespace.DataType): Int {
+   Preconditions.checkNotNull(inputDataType,"Data type must not be null!")
+    when(inputDataType) {
+        TensorNamespace.DataType.BOOL -> return 1
+        TensorNamespace.DataType.BFLOAT16 -> return 17
+        TensorNamespace.DataType.FLOAT16 -> return 3
+        TensorNamespace.DataType.FLOAT16 -> return 4
+        TensorNamespace.DataType.FLOAT -> return 5
+        TensorNamespace.DataType.DOUBLE -> return 6
+        TensorNamespace.DataType.INT8 -> return 7
+        TensorNamespace.DataType.INT16 -> return 8
+        TensorNamespace.DataType.INT32 -> return 9
+        TensorNamespace.DataType.INT64 -> return 10
+        TensorNamespace.DataType.UINT8 -> return 11
+        TensorNamespace.DataType.UINT16 -> return 12
+        TensorNamespace.DataType.UINT32 -> return 13
+        TensorNamespace.DataType.UINT64 -> return 14
+        TensorNamespace.DataType.BFLOAT16 -> return 17
+        TensorNamespace.DataType.STRING -> return 50
+        TensorNamespace.DataType.UNDEFINED,TensorNamespace.DataType.UNRECOGNIZED -> return 100
+        else ->  throw IllegalArgumentException("No data type found for $inputDataType")
+
+    }
+
+    return -1
+}
+
+
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/InvertBooleanNumber.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/InvertBooleanNumber.kt
new file mode 100644
index 000000000..d3b849387
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/InvertBooleanNumber.kt
@@ -0,0 +1,128 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+/**
+ * Change a boolean to an int
+ * or an int or double to a boolean
+ */
+abstract class InvertBooleanNumber<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE: ProtocolMessageEnum>(mappingNamesToPerform: Map,
+                                                                          transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "invertbooleannumber", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.INT || argDescriptorType == AttributeValueType.BOOL
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.DOUBLE) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.BOOL)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for ((k, v) in mappingNamesToPerform()) {
+            val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder()
+            descriptorBuilder.name = k
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            when(irAttribute.attributeValueType()) {
+                AttributeValueType.INT -> {
+                    val targetIdx = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    )
+
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    descriptorBuilder.boolValue = irAttribute.intValue() > 0
+                    descriptorBuilder.argIndex = targetIdx
+                    ret.add(descriptorBuilder.build())
+
+                }
+                AttributeValueType.FLOAT -> {
+                    val targetIdx = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    )
+
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    descriptorBuilder.boolValue = irAttribute.floatValue() > 0
+                    descriptorBuilder.argIndex = targetIdx
+                    ret.add(descriptorBuilder.build())
+
+                }
+                else -> {
+                    listOf(OpNamespace.ArgDescriptor.ArgType.INT64, OpNamespace.ArgDescriptor.ArgType.DOUBLE)
+                        .forEach { argDescriptorType ->
+                            val targetIdx = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = argDescriptorType
+                            )
+
+                            if (targetIdx >= 0) {
+                                when (argDescriptorType) {
+                                    OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
+                                        descriptorBuilder.argType = argDescriptorType
+                                        descriptorBuilder.doubleValue = if (irAttribute.boolValue()) 1.0 else 0.0
+                                        descriptorBuilder.argIndex = targetIdx
+                                    }
+                                    OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                                        descriptorBuilder.argType = argDescriptorType
+                                        descriptorBuilder.int64Value = if (irAttribute.boolValue()) 1 else 0
+                                        descriptorBuilder.argIndex = targetIdx
+                                    }
+
+                                    else -> {
+                                        throw IllegalArgumentException("Illegal type passed in $argDescriptorType")
+                                    }
+                                }
+
+                                ret.add(descriptorBuilder.build())
+
+                            }
+
+
+                        }
+                }
+            }
+
+
+
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListAttributeValueLookupToIndex.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListAttributeValueLookupToIndex.kt
new file mode 100644
index 000000000..33f82857b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListAttributeValueLookupToIndex.kt
@@ -0,0 +1,181 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ListAttributeValueLookupToIndex<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "listattributevaluelookuptoindex",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.LIST_FLOAT ||
+                argDescriptorType == AttributeValueType.LIST_INT ||
+                argDescriptorType == AttributeValueType.LIST_STRING ||
+                argDescriptorType == AttributeValueType.LIST_TENSOR ||
+                argDescriptorType == AttributeValueType.LIST_BOOL ||
+                argDescriptorType == AttributeValueType.INT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return !argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val index = (transformerArgs[k] ?: error(""))[0]!!.int64Value
+            val listOfValues = mappingCtx.irAttributeValueForNode(v)
+            when (listOfValues.attributeValueType()) {
+                AttributeValueType.LIST_FLOAT -> {
+                    val listFloat = listOfValues.listFloatValue()
+                    if(!listFloat.isEmpty()) {
+                        val argDescriptor = ArgDescriptor {
+                            name = k
+                            doubleValue = listFloat[index.toInt()].toDouble()
+                            argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                            )
+                        }
+
+                        ret.add(argDescriptor)
+                    } else if(transformerArgs[k]!!.size > 1) {
+                        val args = transformerArgs[k]!![1]!!
+                        ret.add(args)
+                    }
+
+                }
+                AttributeValueType.LIST_INT -> {
+                    val listInt = listOfValues.listIntValue()
+                    if(!listInt.isEmpty()) {
+                        val argDescriptor = ArgDescriptor {
+                            name = k
+                            int64Value = listInt[index.toInt()]
+                            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                            )
+                        }
+
+                        ret.add(argDescriptor)
+                    } else if(transformerArgs[k]!!.size > 1) {
+                        val args = transformerArgs[k]!![1]!!
+                        ret.add(args)
+                    }
+
+                }
+
+                AttributeValueType.LIST_STRING -> {
+                    val listString = listOfValues.listStringValue()
+                    if(!listString.isEmpty()) {
+                        val argDescriptor = ArgDescriptor {
+                            name = k
+                            stringValue = listString[index.toInt()]
+                            argType = OpNamespace.ArgDescriptor.ArgType.STRING
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.STRING
+                            )
+                        }
+
+                        ret.add(argDescriptor)
+                    } else if(transformerArgs[k]!!.size > 1) {
+                        val args = transformerArgs[k]!![1]!!
+                        ret.add(args)
+                    }
+
+                }
+
+                AttributeValueType.LIST_TENSOR -> {
+                    val listTensor = listOfValues.listTensorValue()
+                    if(!listTensor.isEmpty()) {
+                        val argDescriptor = ArgDescriptor {
+                            name = k
+                            inputValue = listTensor[index.toInt()].toArgTensor()
+                            argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                            )
+                        }
+
+                        ret.add(argDescriptor)
+                    }  else if(transformerArgs[k]!!.size > 1) {
+                        val args = transformerArgs[k]!![1]!!
+                        ret.add(args)
+                    }
+
+                }
+
+                AttributeValueType.LIST_BOOL -> {
+                    val listBool = listOfValues.listBoolValue()
+                    if(!listBool.isEmpty()) {
+                        val argDescriptor = ArgDescriptor {
+                            name = k
+                            boolValue = listBool[index.toInt()]
+                            argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                            )
+                        }
+
+                        ret.add(argDescriptor)
+                    } else if(transformerArgs[k]!!.size > 1) {
+                        val args = transformerArgs[k]!![1]!!
+                        ret.add(args)
+                    }
+
+                }
+
+            }
+
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListNumberToListNumber.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListNumberToListNumber.kt
new file mode 100644
index 000000000..b7ce172ff
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListNumberToListNumber.kt
@@ -0,0 +1,107 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ListNumberToListNumber<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "listnumbertolistnumber",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.INT ||
+                argDescriptorType == AttributeValueType.FLOAT ||
+                argDescriptorType == AttributeValueType.LIST_INT ||
+                argDescriptorType == AttributeValueType.LIST_FLOAT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.DOUBLE)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            when (irAttribute.attributeValueType()) {
+                AttributeValueType.LIST_INT -> {
+                    val baseIndex = if(mappingCtx.descriptorsSoFar().isEmpty()) lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                    ) else mappingCtx.descriptorsSoFar().size
+                    val listInts = irAttribute.listIntValue()
+                    listInts.forEachIndexed { index, element ->
+                        val finalName = if (index > 0) k + "$index" else k
+                        val argDescriptor = ArgDescriptor {
+                            name = finalName
+                            int64Value = element
+                            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                            argIndex = baseIndex + index
+                        }
+
+                        ret.add(argDescriptor)
+                    }
+                }
+                AttributeValueType.LIST_FLOAT -> {
+                    val baseIndex = if(mappingCtx.descriptorsSoFar().isEmpty()) lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                    ) else mappingCtx.descriptorsSoFar().size
+
+                    val listFloats = irAttribute.listFloatValue()
+                    listFloats.forEachIndexed { index, element ->
+                        val finalName = if (index > 0) k + "$index" else k
+                        val argDescriptor = ArgDescriptor {
+                            name = finalName
+                            doubleValue = element.toDouble()
+                            argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                            argIndex = baseIndex + index
+                        }
+
+                        ret.add(argDescriptor)
+                    }
+                }
+            }
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListNumberToNDArray.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListNumberToNDArray.kt
new file mode 100644
index 000000000..0f4e6fe07
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ListNumberToNDArray.kt
@@ -0,0 +1,97 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.nameSpaceTensorFromNDarray
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ListNumberToNDArray<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "listnumbertondarray",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.INT ||
+                argDescriptorType == AttributeValueType.FLOAT ||
+                argDescriptorType == AttributeValueType.LIST_INT ||
+                argDescriptorType == AttributeValueType.LIST_FLOAT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val listOfValues = mappingCtx.irAttributeValueForNode(v)
+            val baseIndex = lookupIndexForArgDescriptor(
+                argDescriptorName = k,
+                opDescriptorName = mappingCtx.nd4jOpName(),
+                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+            )
+
+            when (listOfValues.attributeValueType()) {
+                AttributeValueType.LIST_FLOAT -> {
+                    val nd4jArray = Nd4j.create(listOfValues.listFloatValue().toFloatArray())
+                    val inputTensor = nameSpaceTensorFromNDarray(nd4jArray)
+                    ret.add(ArgDescriptor {
+                        name = k
+                        inputValue = inputTensor
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        argIndex = baseIndex
+                    })
+                }
+
+                AttributeValueType.LIST_INT -> {
+                    val nd4jArray = Nd4j.create(Nd4j.createBuffer(listOfValues.listIntValue().toLongArray()))
+                    val inputTensor = nameSpaceTensorFromNDarray(nd4jArray)
+                    ret.add(ArgDescriptor {
+                        name = k
+                        inputValue = inputTensor
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        argIndex = baseIndex
+                    })
+                }
+
+            }
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/MapStringToInt.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/MapStringToInt.kt
new file mode 100644
index 000000000..33f0cb593
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/MapStringToInt.kt
@@ -0,0 +1,76 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class MapStringToInt<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (name = "mapstringtoindex", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.LIST_STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        val indexOfValue = transformerArgs["index"]!![0].int64Value
+        for ((k, v) in mappingNamesToPerform()) {
+
+            val stringVal = mappingCtx.irAttributeValueForNode(v).listStringValue()[indexOfValue.toInt()]
+            val activationInt = (transformerArgs[k] ?: error("Unable to map value $v to a type string for op name ${mappingCtx.nd4jOpName()} and input op name ${mappingCtx.opName()}"))
+                .filter {argDescriptor -> argDescriptor.name == stringVal }
+                .map { argDescriptor -> argDescriptor.int64Value }.first()
+            val argDescriptor = ArgDescriptor {
+                name = k
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                )
+                int64Value = activationInt
+            }
+
+            ret.add(argDescriptor)
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayAttributeToNDArrayInput.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayAttributeToNDArrayInput.kt
new file mode 100644
index 000000000..4eb88e81c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayAttributeToNDArrayInput.kt
@@ -0,0 +1,74 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class NDArrayAttributeToNDArrayInput<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "ndarrayinputtondarray",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val baseIndex = lookupIndexForArgDescriptor(
+                argDescriptorName = k,
+                opDescriptorName = mappingCtx.nd4jOpName(),
+                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+            )
+            val attr = mappingCtx.irAttributeValueForNode(v).tensorValue()
+            ret.add(ArgDescriptor {
+                name = k
+                inputValue = attr.toArgTensor()
+                argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                argIndex = baseIndex
+            })
+
+        }
+
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayExtractScalarValue.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayExtractScalarValue.kt
new file mode 100644
index 000000000..ebc441919
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayExtractScalarValue.kt
@@ -0,0 +1,71 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.nameSpaceTensorFromNDarray
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class NDArrayExtractScalarValue<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(mappingNamesToPerform: Map,
+                                                     transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "ndarrayextractscalarvalue", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs)
+        where  DATA_TYPE: ProtocolMessageEnum {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        mappingNamesToPerform().forEach { (k, v) ->
+            val indexValueToAbstract = transformerArgs[k]!![0].int64Value
+            val ndarrayInput = mappingCtx.tensorInputFor(v).toNd4jNDArray()
+            val argDescriptor = ArgDescriptor {
+                name = k
+                argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                inputValue = nameSpaceTensorFromNDarray(Nd4j.scalar(ndarrayInput.getDouble(indexValueToAbstract)))
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                )
+            }
+            ret.add(argDescriptor)
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayInputToNumericalAttribute.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayInputToNumericalAttribute.kt
new file mode 100644
index 000000000..442127d55
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayInputToNumericalAttribute.kt
@@ -0,0 +1,102 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class NDArrayInputToNumericalAttribute<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "ndarrayinputtonumericalattribute",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.DOUBLE)
+                || argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.FLOAT)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        val realDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingCtx.nd4jOpName())
+        for ((k, v) in mappingNamesToPerform()) {
+            val inputTensor = mappingCtx.tensorInputFor(v).toNd4jNDArray()
+            realDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.name == k &&
+                    argDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INT64 && argDescriptor.name == k ||
+                    argDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.DOUBLE && argDescriptor.name == k}
+                .forEach { argDescriptor ->
+                    val baseIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = argDescriptor.argType
+                    )
+                    for (i in 0 until 1) {
+                        val nameToUse = if (i > 0) k + "$i" else k
+                        val get = if(inputTensor.length() > 0) inputTensor.getDouble(i) else 0.0
+                        when (argDescriptor.argType) {
+                            OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
+                                ret.add(ArgDescriptor {
+                                    name = nameToUse
+                                    argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                                    doubleValue = get
+                                    argIndex = baseIndex + i
+                                })
+                            }
+
+                            OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                                ret.add(ArgDescriptor {
+                                    name = nameToUse
+                                    argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                    int64Value = get.toLong()
+                                    argIndex = baseIndex + i
+                                })
+                            }
+                        }
+
+                    }
+                }
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArraySizeAtRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArraySizeAtRule.kt
new file mode 100644
index 000000000..e2199d2bd
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArraySizeAtRule.kt
@@ -0,0 +1,79 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+/**
+ * Need to implement tensor size extraction value at index
+ */
+
+
+abstract class NDArraySizeAtRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(mappingNamesToPerform: Map,
+                                                     transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "ndarraysizeat", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs)
+        where  DATA_TYPE: ProtocolMessageEnum {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        mappingNamesToPerform().forEach { (k, v) ->
+            val transformArgsForAttribute = transformerArgs[k]
+            //note that this finds a value for a named tensor within either the graph or the node
+            //some frameworks may have a value node with a value attribute
+            //others may have the actual tensor value
+            val inputArr = mappingCtx.tensorInputFor(v)
+            val sizeIndex = transformArgsForAttribute!![0].int64Value.toInt()
+            val sizeAt = if(inputArr.shape().isEmpty()) -1 else  inputArr.shape()[sizeIndex]
+            val argDescriptor = ArgDescriptor {
+                name = v
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                int64Value = sizeAt
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                )
+            }
+            ret.add(argDescriptor)
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayToIntAttributeValue.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayToIntAttributeValue.kt
new file mode 100644
index 000000000..6b23af461
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NDArrayToIntAttributeValue.kt
@@ -0,0 +1,77 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class NDArrayToIntAttributeValue<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "ndarraytointattributevalue",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val ndarray = mappingCtx.tensorInputFor(v).toNd4jNDArray()
+            val arrInts = ndarray.ravel().toIntVector()
+            val baseIndex = lookupIndexForArgDescriptor(
+                argDescriptorName = k,
+                opDescriptorName = mappingCtx.nd4jOpName(),
+                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+            )
+            for (i in 0 until ndarray.length()) {
+                val argDescriptor = ArgDescriptor {
+                    name = k
+                    int64Value = arrInts[i.toInt()].toLong()
+                    argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                    argIndex = (baseIndex + i).toInt()
+                }
+
+                ret.add(argDescriptor)
+            }
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NumberToBoolean.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NumberToBoolean.kt
new file mode 100644
index 000000000..b84e2eb59
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/NumberToBoolean.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class NumberToBoolean<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE: ProtocolMessageEnum>(mappingNamesToPerform: Map,
+                                                                          transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "booleantonumber", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.INT || argDescriptorType == AttributeValueType.FLOAT
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.BOOL)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for ((k, v) in mappingNamesToPerform()) {
+            val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder()
+            descriptorBuilder.name = k
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            val targetIdx = lookupIndexForArgDescriptor(
+                argDescriptorName = k,
+                opDescriptorName = mappingCtx.nd4jOpName(),
+                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.BOOL
+            )
+
+            if(targetIdx < 0) {
+                throw java.lang.IllegalArgumentException("Output attribute $k not found with boolean type for op name ${mappingCtx.nd4jOpName()} and input op name ${mappingCtx.opName()}")
+            }
+
+
+            descriptorBuilder.argIndex = targetIdx
+            descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+
+
+            when(irAttribute.attributeValueType()) {
+                AttributeValueType.FLOAT -> {
+                    descriptorBuilder.boolValue = irAttribute.floatValue() > 0
+                }
+                AttributeValueType.INT -> {
+                    descriptorBuilder.boolValue = irAttribute.intValue() > 0
+                }
+            }
+
+            ret.add(descriptorBuilder.build())
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/SizeThresholdIntArrayIntIndexRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/SizeThresholdIntArrayIntIndexRule.kt
new file mode 100644
index 000000000..587ae7544
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/SizeThresholdIntArrayIntIndexRule.kt
@@ -0,0 +1,80 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class SizeThresholdIntArrayIntIndexRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(mappingNamesToPerform: Map,
+                                                     transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "sizethresholdarrayint", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) where DATA_TYPE: ProtocolMessageEnum {
+
+
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for((k, v) in mappingNamesToPerform()) {
+            val descriptorForName = transformerArgs[k]
+            val inputArr = mappingCtx.irAttributeValueForNode(v).listIntValue()
+            val index = descriptorForName!![0].int32Value
+            val sizeThreshold = descriptorForName!![1].int64Value
+            val fallbackIndex = descriptorForName!![2].stringValue
+            val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder()
+            descriptorBuilder.name = v
+            descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            if(inputArr.size < sizeThreshold) {
+                descriptorBuilder.int64Value = inputArr[fallbackIndex.toInt()]
+            } else {
+                descriptorBuilder.int64Value = inputArr[index]
+            }
+
+            descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                argDescriptorName = k,
+                opDescriptorName = mappingCtx.nd4jOpName(),
+                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+            )
+
+
+            ret.add(descriptorBuilder.build())
+
+        }
+        return ret
+    }
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.INT ||
+                argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringAttributeToNDArray.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringAttributeToNDArray.kt
new file mode 100644
index 000000000..bc55bc941
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringAttributeToNDArray.kt
@@ -0,0 +1,91 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.nameSpaceTensorFromNDarray
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class StringAttributeToNDArray<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (
+        name = "convertinputstringtondarray",
+        mappingNamesToPerform = mappingNamesToPerform,
+        transformerArgs = transformerArgs
+    ) {
+
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for ((k, v) in mappingNamesToPerform()) {
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            val node = mappingCtx.irNode()
+            //dynamically add an input and update the associated graph
+            node.addInput(k)
+            mappingCtx.graph().updateNode(node)
+
+            when (irAttribute.attributeValueType()) {
+                AttributeValueType.STRING -> {
+                    val listArr = irAttribute.stringValue()
+                    val ndarray = Nd4j.create(listArr)
+                    val convertedArray = nameSpaceTensorFromNDarray(ndarray)
+                    mappingCtx.graph().addConstantNode(k,ndarray)
+
+                    mappingCtx.dynamicResolutionVariables()[k] = mappingCtx.createIRTensorFromNDArray(ndarray).rawValue()
+                    ret.add(ArgDescriptor {
+                        argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        name = k
+                        inputValue = convertedArray
+                        argIndex = lookupIndexForArgDescriptor(
+                            argDescriptorName = k,
+                            opDescriptorName = mappingCtx.nd4jOpName(),
+                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                        )
+                    })
+                }
+            }
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringContainsAdapterRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringContainsAdapterRule.kt
new file mode 100644
index 000000000..66a0da356
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringContainsAdapterRule.kt
@@ -0,0 +1,87 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class StringContainsAdapterRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(
+    mappingNamesToPerform: Map = emptyMap(),
+    transformerArgs: Map> = emptyMap()):
+    BaseAttributeExtractionRule
+        (name = "stringcontains",
+        mappingNamesToPerform =  mappingNamesToPerform,
+        transformerArgs = transformerArgs)
+        where DATA_TYPE: ProtocolMessageEnum {
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.BOOL) || argDescriptorType.contains(
+            OpNamespace.ArgDescriptor.ArgType.INT64
+        )
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for((k, v) in mappingNamesToPerform()) {
+            val argDescriptorTypeList =  mappingCtx.argDescriptorTypeForName(k)
+            val descriptorForName = transformerArgs[k]
+            val compString = descriptorForName!![0].stringValue
+            val testValue = mappingCtx.irAttributeValueForNode(v).stringValue()
+            argDescriptorTypeList.forEach { argDescriptorType ->
+                val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder()
+                descriptorBuilder.name = k
+                descriptorBuilder.argType =  argDescriptorType
+                descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = argDescriptorType
+                )
+
+                when(argDescriptorType) {
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> {
+                        descriptorBuilder.boolValue = compString.contains(testValue)
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                        descriptorBuilder.int64Value = if (compString.contains(testValue)) 1 else 0
+
+                    }
+
+                }
+                ret.add(descriptorBuilder.build())
+            }
+
+
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringEqualsAdapterRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringEqualsAdapterRule.kt
new file mode 100644
index 000000000..6eebba345
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringEqualsAdapterRule.kt
@@ -0,0 +1,89 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class StringEqualsAdapterRule<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(
+    mappingNamesToPerform: Map = emptyMap(),
+    transformerArgs: Map> = emptyMap()):
+    BaseAttributeExtractionRule
+        (name = "stringequals",
+        mappingNamesToPerform =  mappingNamesToPerform,
+        transformerArgs = transformerArgs)
+        where DATA_TYPE: ProtocolMessageEnum {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.BOOL) || argDescriptorType.contains(
+            OpNamespace.ArgDescriptor.ArgType.INT64
+        )
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for((k, v) in mappingNamesToPerform()) {
+            val descriptorForName = transformerArgs[k]
+            val argDescriptorTypeList =  mappingCtx.argDescriptorTypeForName(k)
+
+            val compString = descriptorForName!![0].stringValue
+            val testValue = mappingCtx.irAttributeValueForNode(v).stringValue()
+            argDescriptorTypeList.forEach {  argDescriptorType ->
+                val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder()
+                descriptorBuilder.name = v
+                descriptorBuilder.argType = argDescriptorType
+                descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = argDescriptorType
+                )
+
+                when(argDescriptorType) {
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> {
+                        descriptorBuilder.boolValue = testValue == compString
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                        descriptorBuilder.int64Value = if (testValue == compString) 1 else 0
+
+                    }
+                }
+
+                ret.add(descriptorBuilder.build())
+            }
+
+
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringNotEqualsAdapterRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringNotEqualsAdapterRule.kt
new file mode 100644
index 000000000..b283084fe
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringNotEqualsAdapterRule.kt
@@ -0,0 +1,95 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class StringNotEqualsAdapterRule<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE>(
+    mappingNamesToPerform: Map = emptyMap(),
+    transformerArgs: Map> = emptyMap()):
+    BaseAttributeExtractionRule
+        (name = "stringnotequalsadapterrule",
+        mappingNamesToPerform =  mappingNamesToPerform,
+        transformerArgs = transformerArgs)
+        where DATA_TYPE: ProtocolMessageEnum {
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for((k, v) in mappingNamesToPerform()) {
+            val descriptorForName = transformerArgs[k]
+            val compString = descriptorForName!![0].stringValue
+            val testValue = mappingCtx.irAttributeValueForNode(v).stringValue()
+            val argDescriptorTypeList = mappingCtx.argDescriptorTypeForName(k)
+            argDescriptorTypeList.forEach { argDescriptorType ->
+                when(argDescriptorType) {
+                    OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                        ret.add(ArgDescriptor {
+                            name = k
+                            argType = argDescriptorType
+                            int64Value = if (testValue != compString) 1 else 0
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                            )
+
+                        })
+                    }
+
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> {
+                        ret.add(ArgDescriptor {
+                            name = k
+                            argType = argDescriptorType
+                            boolValue = testValue != compString
+                            argIndex = lookupIndexForArgDescriptor(
+                                argDescriptorName = k,
+                                opDescriptorName = mappingCtx.nd4jOpName(),
+                                argDescriptorType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                            )
+
+                        })
+                    }
+                }
+            }
+
+
+        }
+        return ret
+    }
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.BOOL) ||
+                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringToInt.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringToInt.kt
new file mode 100644
index 000000000..0eb02f0a5
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/StringToInt.kt
@@ -0,0 +1,73 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class StringToInt<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3,
+        NODE_TYPE : GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
+    mappingNamesToPerform: Map,
+    transformerArgs: Map>
+) :
+    BaseAttributeExtractionRule
+        (name = "stringtoindex", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType == AttributeValueType.STRING
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64)
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+
+        for ((k, v) in mappingNamesToPerform()) {
+            val listOfValues = (transformerArgs[k] ?: error("Unable to map value $v to a type string for op name ${mappingCtx.nd4jOpName()} and input op name ${mappingCtx.opName()}")).map { argDescriptor -> argDescriptor.stringValue }
+            val stringValIndex = mappingCtx.irAttributeValueForNode(v).stringValue()
+            val argDescriptor = ArgDescriptor {
+                name = k
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingCtx.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                )
+                int64Value = listOfValues.indexOf(stringValIndex).toLong()
+            }
+
+            ret.add(argDescriptor)
+
+        }
+
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ValueMapping.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ValueMapping.kt
new file mode 100644
index 000000000..4b53d7cef
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/attribute/ValueMapping.kt
@@ -0,0 +1,123 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class ValueMapping<
+        GRAPH_DEF: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3,
+        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE: ProtocolMessageEnum>(mappingNamesToPerform: Map,
+                                                                          transformerArgs: Map>):
+    BaseAttributeExtractionRule
+        (name = "valuemapping", mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
+        return argDescriptorType != AttributeValueType.TENSOR
+    }
+
+    override fun outputsType(argDescriptorType: List): Boolean {
+        return !argDescriptorType.containsAll(listOf(
+            OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR,
+            OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR, OpNamespace.ArgDescriptor.ArgType.DATA_TYPE
+        ))
+    }
+
+    override fun convertAttributes(mappingCtx: MappingContext): List {
+        val ret = ArrayList()
+        for((k, v) in mappingNamesToPerform()) {
+            val descriptorBuilder = OpNamespace.ArgDescriptor.newBuilder()
+            descriptorBuilder.name = k
+            val irAttribute = mappingCtx.irAttributeValueForNode(v)
+            when(irAttribute.attributeValueType()) {
+                AttributeValueType.INT -> {
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                    descriptorBuilder.int64Value = irAttribute.intValue()
+                    descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
+                    )
+
+                }
+
+                AttributeValueType.FLOAT -> {
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                    //DO NOT REMOVE work around for numerical underflow that happens at the JVM level, this does a safe cast allowing us to get the real value out
+                    val realValue = Nd4j.scalar(irAttribute.floatValue()).castTo(DataType.DOUBLE)
+                    descriptorBuilder.doubleValue =  realValue.getDouble(0)
+                    descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                    )
+
+                }
+
+                AttributeValueType.BOOL -> {
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    descriptorBuilder.boolValue = irAttribute.boolValue()
+                    descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    )
+                }
+
+                AttributeValueType.STRING -> {
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.STRING
+                    descriptorBuilder.stringValue = irAttribute.stringValue()
+                    descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.STRING
+                    )
+                }
+
+                AttributeValueType.DATA_TYPE -> {
+                    descriptorBuilder.argType = OpNamespace.ArgDescriptor.ArgType.DATA_TYPE
+                    descriptorBuilder.dataTypeValue = irAttribute.dataTataTypeValue().nameSpaceDataType()
+                    descriptorBuilder.argIndex = lookupIndexForArgDescriptor(
+                        argDescriptorName = k,
+                        opDescriptorName = mappingCtx.nd4jOpName(),
+                        argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DATA_TYPE
+                    )
+                }
+
+                else -> {
+                    throw IllegalArgumentException("Unable to map value $k. Please use different rule for list values and tensors.")
+                }
+            }
+
+
+            ret.add(descriptorBuilder.build())
+
+        }
+        return ret
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/BaseNDArrayMappingRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/BaseNDArrayMappingRule.kt
new file mode 100644
index 000000000..2d83c6418
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/BaseNDArrayMappingRule.kt
@@ -0,0 +1,187 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.tensor
+
+import org.nd4j.common.primitives.Counter
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class BaseNDArrayMappingRule<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3, NODE_DEF_TYPE : GeneratedMessageV3, ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3, TENSOR_TYPE : GeneratedMessageV3,
+        DATA_TYPE>(
+    mappingNamesToPerform: MutableMap = mutableMapOf(),
+    transformerArgs: Map> = emptyMap()
+) :
+    TensorMappingRule
+        where DATA_TYPE : ProtocolMessageEnum {
+
+    protected var opDescriptor: OpNamespace.OpDescriptor? = null
+    protected val mappingNamesToPerform = mappingNamesToPerform
+    protected val transformerArgs = transformerArgs
+    protected var mappingProcess: MappingProcess? =
+        null
+    protected var inputFrameworkOpName: String? = null
+
+    override fun inputFrameworkOpName(): String {
+        return inputFrameworkOpName!!
+    }
+
+    override fun modifyInputFrameworkOpName(inputFrameworkOpName: String) {
+        this.inputFrameworkOpName = inputFrameworkOpName
+    }
+
+    override fun initWithMappingProcess(mappingProcess: MappingProcess) {
+        val opDescriptorList = OpDescriptorLoaderHolder.nd4jOpDescriptor
+        if (!opDescriptorList.opListList.map {  it.name }.contains(mappingProcess.opName())) {
+            throw java.lang.IllegalArgumentException("Op name ${mappingProcess.opName()} not found!")
+        }
+        opDescriptor = opDescriptorList.opListList.first { input ->
+            input.name == mappingProcess.opName()
+        } ?: error("")
+        this.mappingProcess = mappingProcess
+        this.inputFrameworkOpName = mappingProcess.inputFrameworkOpName()
+    }
+
+
+    operator fun set(outputAttribute: String, inputAttribute: String) {
+        mappingNamesToPerform[outputAttribute] = inputAttribute
+    }
+
+    override fun name(): String {
+        return "ndarraymapping"
+    }
+
+
+    override fun mappingNamesToPerform(): Map {
+        return mappingNamesToPerform
+    }
+
+
+    override fun convertInput(mappingContext: MappingContext): List {
+        val ret = ArrayList()
+        val mappingsToPerform = inputArgumentMappings()
+        val nameUsageCounts = Counter()
+        mappingsToPerform.forEach { (k, v) ->
+            ret.add(ArgDescriptor {
+                name = mappingContext.nodeInputNameForOpDefInputName(v)
+                argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                inputValue = mappingContext.tensorInputFor(v).toArgTensor()
+                argIndex = lookupIndexForArgDescriptor(
+                    argDescriptorName = k,
+                    opDescriptorName = mappingContext.nd4jOpName(),
+                    argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                )
+            })
+
+            nameUsageCounts.incrementCount(v,1.0)
+        }
+
+
+        return ret
+    }
+
+    abstract fun createTensorProto(input: TENSOR_TYPE): TensorNamespace.TensorProto
+
+
+    override fun convertInputsReverse(toReverse: List): List {
+        for (argument in toReverse) {
+            require(argument.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) { "Type to reverse must be an input tensor." }
+        }
+        TODO("Not yet implemented")
+    }
+
+    override fun inputArgumentMappings(): Map {
+        return mappingNamesToPerform
+    }
+
+    override fun serialize(): MapperNamespace.MappingRule {
+        val builder = MapperNamespace.MappingRule.newBuilder()
+        builder.ruleName = name()
+        builder.functionName = name()
+        builder.ruleType = "tensor"
+        builder.inputFrameworkOpName = inputFrameworkOpName()
+        for ((k, v) in transformerArgs) {
+            val descriptor = opDescriptor!!.argDescriptorList.filter { input -> input.name == k }[0]
+            when (descriptor.argType) {
+                OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addOutputBooleanName(k)
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addOutputIntName(k)
+                OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addOutputFloatName(k)
+                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> builder.addOutputDoubleName(k)
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addOutputIntName(k)
+                OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(k)
+                OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR -> builder.addOutputTensorName(k)
+            }
+
+            for (associatedInput in v) {
+                when (associatedInput.argType) {
+                    OpNamespace.ArgDescriptor.ArgType.STRING -> builder.addInputStringAttrName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addInputBooleanName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addInputFloatName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.INT32, OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addInputIntName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(associatedInput.name)
+                }
+            }
+
+
+        }
+
+        mappingNamesToPerform.forEach { outputName, inputName ->
+            builder.addInputTensorName(inputName)
+            builder.addOutputTensorName(outputName)
+            builder.putInputToOutput(outputName,inputName)
+        }
+
+
+        return builder.build()
+    }
+
+    override fun toString(): String {
+        return "BaseNDArrayMappingRule(mappingNamesToPerform=$mappingNamesToPerform, transformerArgs=$transformerArgs"
+    }
+
+    override fun equals(other: Any?): Boolean {
+        if (this === other) return true
+        if (other !is BaseNDArrayMappingRule<*, *, *, *, *, *, *>) return false
+
+        if (mappingNamesToPerform != other.mappingNamesToPerform) return false
+        if (transformerArgs != other.transformerArgs) return false
+
+        return true
+    }
+
+    override fun hashCode(): Int {
+        var result = opDescriptor?.hashCode() ?: 0
+        result = 31 * result + mappingNamesToPerform.hashCode()
+        result = 31 * result + transformerArgs.hashCode()
+        return result
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/MultiInputIndexMappingRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/MultiInputIndexMappingRule.kt
new file mode 100644
index 000000000..d61f8182b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/MultiInputIndexMappingRule.kt
@@ -0,0 +1,188 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.tensor
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class MultiInputIndexMappingRule<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3, NODE_DEF_TYPE : GeneratedMessageV3, ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3, TENSOR_TYPE : GeneratedMessageV3,
+        DATA_TYPE>(
+    mappingNamesToPerform: MutableMap = mutableMapOf(),
+    transformerArgs: Map> = emptyMap()
+) :
+    TensorMappingRule
+        where DATA_TYPE : ProtocolMessageEnum {
+
+    protected var opDescriptor: OpNamespace.OpDescriptor? = null
+    protected val mappingNamesToPerform = mappingNamesToPerform
+    protected val transformerArgs = transformerArgs
+    protected var mappingProcess: MappingProcess? =
+        null
+    protected var inputFrameworkOpName: String? = null
+
+    override fun inputFrameworkOpName(): String {
+        return inputFrameworkOpName!!
+    }
+
+    override fun modifyInputFrameworkOpName(inputFrameworkOpName: String) {
+        this.inputFrameworkOpName = inputFrameworkOpName
+    }
+
+    override fun initWithMappingProcess(mappingProcess: MappingProcess) {
+        val opDescriptorList = OpDescriptorLoaderHolder.nd4jOpDescriptor
+        if (!opDescriptorList.opListList.map { it -> it.name }.contains(mappingProcess.opName())) {
+            throw java.lang.IllegalArgumentException("Op name ${mappingProcess.opName()} not found!")
+        }
+        opDescriptor = opDescriptorList.opListList.first { input ->
+            input.name == mappingProcess.opName()
+        } ?: error("")
+        this.mappingProcess = mappingProcess
+        this.inputFrameworkOpName = mappingProcess.inputFrameworkOpName()
+    }
+
+
+    operator fun set(outputAttribute: String, inputAttribute: String) {
+        mappingNamesToPerform[outputAttribute] = inputAttribute
+    }
+
+    override fun name(): String {
+        return "multiinputindex"
+    }
+
+
+    override fun mappingNamesToPerform(): Map {
+        return mappingNamesToPerform
+    }
+
+
+    override fun convertInput(mappingContext: MappingContext): List {
+        val ret = ArrayList()
+        val mappingsToPerform = inputArgumentMappings()
+        mappingsToPerform.forEach { (k, v) ->
+            val relevantInputs = mappingContext.irNode().inputNamesForListOfInputValues(v)
+            //get the base index of the key value and use that as the offset for the array initialization
+            val baseIndex = mappingContext.irNode().computeAdjustedOffsetForInput(k, v,mappingsToPerform)
+            //note this looks up node names from the input framework perspective, so these are not variable names present
+            //in the outputs yet
+            relevantInputs.forEachIndexed {index,inputName ->
+                ret.add(ArgDescriptor {
+                    name = "$v"
+                    argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                    inputValue = mappingContext.tensorInputFromInputFrameworkName(inputName).toArgTensor()
+                    argIndex = baseIndex + index
+                })
+            }
+        }
+
+
+        return ret
+    }
+
+    abstract fun createTensorProto(input: TENSOR_TYPE): TensorNamespace.TensorProto
+
+
+    override fun convertInputsReverse(toReverse: List): List {
+        for (argument in toReverse) {
+            require(argument.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) { "Type to reverse must be an input tensor." }
+        }
+        TODO("Not yet implemented")
+    }
+
+    override fun inputArgumentMappings(): Map {
+        return mappingNamesToPerform
+    }
+
+    override fun serialize(): MapperNamespace.MappingRule {
+        val builder = MapperNamespace.MappingRule.newBuilder()
+        builder.ruleName = name()
+        builder.functionName = name()
+        builder.ruleType = "tensor"
+        builder.inputFrameworkOpName = inputFrameworkOpName()
+
+        for ((k, v) in transformerArgs) {
+            val descriptor = opDescriptor!!.argDescriptorList.filter { input -> input.name == k }[0]
+            when (descriptor.argType) {
+                OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addOutputBooleanName(k)
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addOutputIntName(k)
+                OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addOutputFloatName(k)
+                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> builder.addOutputDoubleName(k)
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addOutputIntName(k)
+                OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(k)
+                OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR -> builder.addOutputTensorName(k)
+            }
+
+            for (associatedInput in v) {
+                when (associatedInput.argType) {
+                    OpNamespace.ArgDescriptor.ArgType.STRING -> builder.addInputStringAttrName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addInputBooleanName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addInputFloatName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.INT32, OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addInputIntName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(associatedInput.name)
+                }
+            }
+
+
+        }
+
+        mappingNamesToPerform.forEach { outputName, inputName ->
+            builder.addInputTensorName(inputName)
+            builder.addOutputTensorName(outputName)
+            builder.putInputToOutput(outputName,inputName)
+        }
+
+
+
+        return builder.build()
+    }
+
+    override fun equals(other: Any?): Boolean {
+        if (this === other) return true
+        if (other !is MultiInputIndexMappingRule<*, *, *, *, *, *, *>) return false
+
+        if (opDescriptor != other.opDescriptor) return false
+        if (mappingNamesToPerform != other.mappingNamesToPerform) return false
+        if (transformerArgs != other.transformerArgs) return false
+
+        return true
+    }
+
+    override fun hashCode(): Int {
+        var result = opDescriptor?.hashCode() ?: 0
+        result = 31 * result + mappingNamesToPerform.hashCode()
+        result = 31 * result + transformerArgs.hashCode()
+        return result
+    }
+
+    override fun toString(): String {
+        return "MultiInputIndexMappingRule(opDescriptor=$opDescriptor, mappingNamesToPerform=$mappingNamesToPerform, transformerArgs=$transformerArgs)"
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/PassThroughMultiTensorMapping.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/PassThroughMultiTensorMapping.kt
new file mode 100644
index 000000000..76d6e13a0
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/PassThroughMultiTensorMapping.kt
@@ -0,0 +1,178 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.tensor
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+abstract class PassThroughMultiTensorMapping<
+        GRAPH_DEF : GeneratedMessageV3,
+        OP_DEF_TYPE : GeneratedMessageV3, NODE_DEF_TYPE : GeneratedMessageV3, ATTR_DEF : GeneratedMessageV3,
+        ATTR_VALUE_TYPE : GeneratedMessageV3, TENSOR_TYPE : GeneratedMessageV3,
+        DATA_TYPE>(
+    mappingNamesToPerform: MutableMap = mutableMapOf(),
+    transformerArgs: Map> = emptyMap()
+) :
+    TensorMappingRule
+        where DATA_TYPE : ProtocolMessageEnum {
+
+    protected var opDescriptor: OpNamespace.OpDescriptor? = null
+    protected val mappingNamesToPerform = mappingNamesToPerform
+    protected val transformerArgs = transformerArgs
+    protected var mappingProcess: MappingProcess? =
+        null
+    protected var inputFrameworkOpName: String? = null
+
+    override fun inputFrameworkOpName(): String {
+        return inputFrameworkOpName!!
+    }
+
+    override fun modifyInputFrameworkOpName(inputFrameworkOpName: String) {
+        this.inputFrameworkOpName = inputFrameworkOpName
+    }
+
+    override fun initWithMappingProcess(mappingProcess: MappingProcess) {
+        val opDescriptorList = OpDescriptorLoaderHolder.nd4jOpDescriptor
+        if (!opDescriptorList.opListList.map { it -> it.name }.contains(mappingProcess.opName())) {
+            throw java.lang.IllegalArgumentException("Op name ${mappingProcess.opName()} not found!")
+        }
+        opDescriptor = opDescriptorList.opListList.first { input ->
+            input.name == mappingProcess.opName()
+        } ?: error("")
+        this.mappingProcess = mappingProcess
+        this.inputFrameworkOpName = mappingProcess.inputFrameworkOpName()
+    }
+
+
+    operator fun set(outputAttribute: String, inputAttribute: String) {
+        mappingNamesToPerform[outputAttribute] = inputAttribute
+    }
+
+    override fun name(): String {
+        return "passthrough"
+    }
+
+
+    override fun mappingNamesToPerform(): Map {
+        return mappingNamesToPerform
+    }
+
+
+    override fun convertInput(mappingContext: MappingContext): List {
+        val ret = ArrayList()
+        mappingContext.irNode().inputs().forEachIndexed { index,v ->
+            ret.add(ArgDescriptor {
+                name = "$v"
+                argType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+                inputValue = mappingContext.tensorInputFromInputFrameworkName(v).toArgTensor()
+                argIndex = index
+            })
+        }
+        return ret
+    }
+
+    abstract fun createTensorProto(input: TENSOR_TYPE): TensorNamespace.TensorProto
+
+
+    override fun convertInputsReverse(toReverse: List): List {
+        for (argument in toReverse) {
+            require(argument.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR) { "Type to reverse must be an input tensor." }
+        }
+        TODO("Not yet implemented")
+    }
+
+    override fun inputArgumentMappings(): Map {
+        return mappingNamesToPerform
+    }
+
+    override fun serialize(): MapperNamespace.MappingRule {
+        val builder = MapperNamespace.MappingRule.newBuilder()
+        builder.ruleName = name()
+        builder.functionName = name()
+        builder.ruleType = "tensor"
+        builder.inputFrameworkOpName = inputFrameworkOpName()
+
+        for ((k, v) in transformerArgs) {
+            val descriptor = opDescriptor!!.argDescriptorList.filter { input -> input.name == k }[0]
+            when (descriptor.argType) {
+                OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addOutputBooleanName(k)
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addOutputIntName(k)
+                OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addOutputFloatName(k)
+                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> builder.addOutputDoubleName(k)
+                OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addOutputIntName(k)
+                OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(k)
+                OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR -> builder.addOutputTensorName(k)
+            }
+
+            for (associatedInput in v) {
+                when (associatedInput.argType) {
+                    OpNamespace.ArgDescriptor.ArgType.STRING -> builder.addInputStringAttrName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.BOOL -> builder.addInputBooleanName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.FLOAT -> builder.addInputFloatName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.INT32, OpNamespace.ArgDescriptor.ArgType.INT64 -> builder.addInputIntName(associatedInput.name)
+                    OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> builder.addInputTensorName(associatedInput.name)
+                }
+            }
+
+
+        }
+
+        mappingNamesToPerform.forEach { outputName, inputName ->
+            builder.addInputTensorName(inputName)
+            builder.addOutputTensorName(outputName)
+            builder.putInputToOutput(outputName,inputName)
+        }
+
+
+
+        return builder.build()
+    }
+
+    override fun equals(other: Any?): Boolean {
+        if (this === other) return true
+        if (other !is PassThroughMultiTensorMapping<*, *, *, *, *, *, *>) return false
+
+        if (opDescriptor != other.opDescriptor) return false
+        if (mappingNamesToPerform != other.mappingNamesToPerform) return false
+        if (transformerArgs != other.transformerArgs) return false
+
+        return true
+    }
+
+    override fun hashCode(): Int {
+        var result = opDescriptor?.hashCode() ?: 0
+        result = 31 * result + mappingNamesToPerform.hashCode()
+        result = 31 * result + transformerArgs.hashCode()
+        return result
+    }
+
+    override fun toString(): String {
+        return "MultiInputIndexMappingRule(opDescriptor=$opDescriptor, mappingNamesToPerform=$mappingNamesToPerform, transformerArgs=$transformerArgs)"
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/TensorMappingRule.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/TensorMappingRule.kt
new file mode 100644
index 000000000..aa08d139f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/rule/tensor/TensorMappingRule.kt
@@ -0,0 +1,63 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.rule.tensor
+
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface TensorMappingRule
+        where DATA_TYPE: ProtocolMessageEnum {
+
+
+    fun initWithMappingProcess(mappingProcess: MappingProcess)
+
+
+    fun name(): String
+
+
+    fun serialize(): MapperNamespace.MappingRule
+
+
+    fun mappingNamesToPerform(): Map
+
+    /**
+     * Convert 1 or more attributes in to a list of {@link ArgDescriptor}
+     */
+    fun convertInput(mappingContext: MappingContext): List
+
+
+    fun inputArgumentMappings(): Map
+
+    fun convertInputsReverse(toReverse: List): List
+
+    fun isInputTensorName(inputName: String): Boolean
+
+    fun isOutputTensorName(outputName: String): Boolean
+
+    fun inputFrameworkOpName(): String
+
+    fun modifyInputFrameworkOpName(inputFrameworkOpName: String)
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/DefaultImportRunner.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/DefaultImportRunner.kt
new file mode 100644
index 000000000..81c31d2b0
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/DefaultImportRunner.kt
@@ -0,0 +1,293 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.runner
+
+import org.nd4j.autodiff.functions.DifferentialFunction
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.autodiff.samediff.VariableType
+import org.nd4j.common.io.ReflectionUtils
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.api.ops.DynamicCustomOp
+import org.nd4j.linalg.api.ops.Op
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.convertNd4jDataTypeFromNameSpaceTensorDataType
+import org.nd4j.samediff.frameworkimport.ndarrayFromNameSpaceTensor
+import org.nd4j.samediff.frameworkimport.setNameForFunctionFromDescriptors
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import java.lang.IllegalArgumentException
+import java.lang.reflect.Modifier
+
+class DefaultImportRunner : ImportRunner {
+    override fun  initAttributes(
+        df: DifferentialFunction,
+        sd: SameDiff,
+        descriptorAndContext: Pair, OpNamespace.OpDescriptor>
+    ) {
+
+        val applied = descriptorAndContext
+        val mappingContext = applied.first
+        when (df.opType()) {
+            Op.Type.CUSTOM,Op.Type.LOGIC -> {
+                val dynamicCustomOp = df as DynamicCustomOp
+                val grouped = descriptorAndContext.second.argDescriptorList.groupBy { descriptor ->
+                    descriptor.argType
+                }
+
+                val sortedMap = HashMap>()
+                grouped.forEach { (argType, list) ->
+                    sortedMap[argType] = list.sortedBy { arg -> arg.argIndex }
+                }
+
+                sortedMap.forEach { (argType, listOfArgsSortedByIndex) ->
+                    when (argType) {
+                        OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> {
+                            if(df.opType() != Op.Type.LOGIC) {
+                                val args = dynamicCustomOp.args()
+                                val arraysToAdd = ArrayList()
+                                listOfArgsSortedByIndex.forEachIndexed { index, argDescriptor ->
+                                    val convertedTensor = ndarrayFromNameSpaceTensor(argDescriptor.inputValue)
+                                    if (index < args.size) {
+                                        val arg = args[index]
+                                        if (arg.variableType != VariableType.ARRAY) {
+                                            if (arg.shape == null) {
+                                                val emptyLongArray = LongArray(0)
+                                                arg.setShape(*emptyLongArray)
+                                            }
+
+                                            arraysToAdd.add(convertedTensor)
+
+                                        }
+                                    }
+
+                                }
+
+                                //note we don't add arrays one at a time because addInputArgument requires all the input arrays to be added at once
+                                //dynamicCustomOp.addInputArgument(*arraysToAdd.toTypedArray())
+
+
+                            }
+
+                        }
+
+                        OpNamespace.ArgDescriptor.ArgType.INT64, OpNamespace.ArgDescriptor.ArgType.INT32 -> {
+                            listOfArgsSortedByIndex.forEach { dynamicCustomOp.addIArgument(it.int64Value) }
+                        }
+
+                        OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.FLOAT -> {
+                            listOfArgsSortedByIndex.forEach { dynamicCustomOp.addTArgument(it.doubleValue) }
+                        }
+
+                        OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR -> {
+                            listOfArgsSortedByIndex.forEach {
+                                val convertedTensor = ndarrayFromNameSpaceTensor(it.inputValue)
+                                dynamicCustomOp.addOutputArgument(convertedTensor)
+                            }
+                        }
+
+                        //allow strings, but only for cases of setting a value in java
+                        OpNamespace.ArgDescriptor.ArgType.STRING -> {}
+
+                        OpNamespace.ArgDescriptor.ArgType.BOOL -> {
+                            listOfArgsSortedByIndex.forEach {
+                                dynamicCustomOp.addBArgument(it.boolValue)
+                            }
+                        }
+
+                        OpNamespace.ArgDescriptor.ArgType.DATA_TYPE -> {
+                            listOfArgsSortedByIndex.forEach {
+                                val dtype = convertNd4jDataTypeFromNameSpaceTensorDataType(it.dataTypeValue!!)
+                                val dtypeJavaClass = Class.forName("org.nd4j.linalg.api.buffer.DataType")
+                                dynamicCustomOp.addDArgument(dtype)
+                                df.javaClass.declaredFields.forEach { field ->
+                                    if (!Modifier.isStatic(field.modifiers) && !Modifier.isFinal(field.modifiers)
+                                        && dtypeJavaClass.isAssignableFrom(field.type)
+                                    ) {
+                                        field.isAccessible = true
+                                        ReflectionUtils.setField(field, df, dtype)
+                                    }
+                                }
+                            }
+                        }
+                        else -> {
+                            throw IllegalArgumentException("Illegal type")
+                        }
+
+                    }
+
+                    //set any left over fields if they're found
+                    setNameForFunctionFromDescriptors(listOfArgsSortedByIndex, df)
+                }
+
+
+            }
+            Op.Type.SCALAR -> {
+                applied.second.argDescriptorList.forEach { argDescriptor ->
+                    val field = ReflectionUtils.findField(df.javaClass, argDescriptor.name)
+                    if (field != null) {
+                        field.isAccessible = true
+                        when (argDescriptor.name) {
+                            "x", "y", "z" -> {
+                                val createdNDArray = mappingContext.tensorInputFor(argDescriptor.name).toNd4jNDArray()
+                                ReflectionUtils.setField(field, df, createdNDArray)
+                            }
+                            else -> {
+                                val scalarField = ReflectionUtils.findField(df.javaClass, "scalarValue")
+                                scalarField.isAccessible = true
+                                //access the first input (should have been set) and make sure the scalar type is the
+                                //the same
+                                val firstValue = sd.variables().first()
+                                val dtype = firstValue.dataType()
+                                when (argDescriptor.argType) {
+                                    OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
+                                        val nd4jScalarValue = Nd4j.scalar(argDescriptor.doubleValue).castTo(dtype)
+                                        ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                    }
+                                    OpNamespace.ArgDescriptor.ArgType.FLOAT -> {
+                                        val nd4jScalarValue = Nd4j.scalar(argDescriptor.floatValue).castTo(dtype)
+                                        ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                    }
+                                    OpNamespace.ArgDescriptor.ArgType.INT32 -> {
+                                        val nd4jScalarValue = Nd4j.scalar(argDescriptor.int32Value).castTo(dtype)
+                                        ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                    }
+                                    OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                                        val nd4jScalarValue = Nd4j.scalar(argDescriptor.int64Value).castTo(dtype)
+                                        ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                    }
+                                }
+                            }
+                        }
+
+                    } else {
+                        if (argDescriptor.argType in listOf(
+                                OpNamespace.ArgDescriptor.ArgType.INT64,
+                                OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.INT32,
+                                OpNamespace.ArgDescriptor.ArgType.FLOAT
+                            )
+                        ) {
+                            val scalarField = ReflectionUtils.findField(df.javaClass, "scalarValue")
+                            scalarField.isAccessible = true
+                            //access the first input (should have been set) and make sure the scalar type is the
+                            //the same
+                            val irNode = mappingContext.irNode()
+                            val firstValue = sd.getVariable(irNode.inputAt(0))
+                            val dtype = firstValue.dataType()
+                            when (argDescriptor.argType) {
+                                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
+                                    val nd4jScalarValue = Nd4j.scalar(argDescriptor.doubleValue).castTo(dtype)
+                                    ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                }
+                                OpNamespace.ArgDescriptor.ArgType.FLOAT -> {
+                                    val nd4jScalarValue = Nd4j.scalar(argDescriptor.floatValue).castTo(dtype)
+                                    ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                }
+                                OpNamespace.ArgDescriptor.ArgType.INT32 -> {
+                                    val nd4jScalarValue = Nd4j.scalar(argDescriptor.int32Value).castTo(dtype)
+                                    ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                }
+                                OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                                    val nd4jScalarValue = Nd4j.scalar(argDescriptor.int64Value).castTo(dtype)
+                                    ReflectionUtils.setField(scalarField, df, nd4jScalarValue)
+
+                                }
+                            }
+                        }
+                    }
+
+
+                }
+
+                //set any left over fields if they're found
+                setNameForFunctionFromDescriptors(applied.second.argDescriptorList, df)
+            }
+            else -> {
+                var hasDimensions = false
+                applied.second.argDescriptorList.forEach { argDescriptor ->
+                    if (argDescriptor.name == "dimensions")
+                        hasDimensions = true
+                    val field = ReflectionUtils.findField(df.javaClass, argDescriptor.name)
+                    if (field != null) {
+                        field.isAccessible = true
+                        when (argDescriptor.name) {
+                            "x", "y", "z" -> {
+                                val createdNDArray = mappingContext.tensorInputFor(argDescriptor.name).toNd4jNDArray()
+                                ReflectionUtils.setField(field, df, createdNDArray)
+                            }
+                            "keepDims" -> ReflectionUtils.setField(field, df, argDescriptor.boolValue)
+                            else -> {
+                            }
+                        }
+                    }
+                }
+
+                if (hasDimensions) {
+                    //dimensions sorted by index
+                    val dimArgs =
+                        applied.second.argDescriptorList.filter { argDescriptor -> argDescriptor.name.contains("dimensions") }
+                            .sortedBy { argDescriptor -> argDescriptor.argIndex }
+                            .map { argDescriptor -> argDescriptor.int64Value.toInt() }.toIntArray()
+                    val dimensionsField = ReflectionUtils.findField(df.javaClass, "dimensions")
+                    val dimensionzField = ReflectionUtils.findField(df.javaClass, "dimensionz")
+                    if (dimensionsField != null) {
+                        dimensionsField.isAccessible = true
+                        if (intArrayOf(0).javaClass.isAssignableFrom(dimensionsField.type)) {
+                            ReflectionUtils.setField(dimensionsField, df, dimArgs)
+                        }
+                    }
+
+                    if (dimensionzField != null) {
+                        dimensionzField.isAccessible = true
+                        if (INDArray::class.java.isAssignableFrom(dimensionzField.type)) {
+                            val buffer = Nd4j.createBuffer(dimArgs)
+                            val createdArr = Nd4j.create(buffer)
+                            ReflectionUtils.setField(dimensionzField, df, createdArr)
+                        }
+                    }
+
+                }
+
+                //set any left over fields if they're found
+                setNameForFunctionFromDescriptors(applied.second.argDescriptorList, df)
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/IRGraphRunner.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/IRGraphRunner.kt
new file mode 100644
index 000000000..e5051ad41
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/IRGraphRunner.kt
@@ -0,0 +1,45 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.runner
+
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface IRGraphRunner<
+        GRAPH_TYPE: GeneratedMessageV3,
+        NODE_TYPE: GeneratedMessageV3,
+        OP_DEF_TYPE: GeneratedMessageV3,
+        TENSOR_TYPE: GeneratedMessageV3,
+        ATTRIBUTE_TYPE: GeneratedMessageV3,
+        ATTRIBUTE_VALUE_TYPE: GeneratedMessageV3,
+        DATA_TYPE : ProtocolMessageEnum> {
+
+    fun graph(): IRGraph
+
+    fun run(inputs: Map): Map
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/ImportRunner.kt b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/ImportRunner.kt
new file mode 100644
index 000000000..17f8478dd
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/kotlin/org/nd4j/samediff/frameworkimport/runner/ImportRunner.kt
@@ -0,0 +1,47 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.runner
+
+import org.nd4j.autodiff.functions.DifferentialFunction
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+interface ImportRunner {
+    fun  initAttributes(
+        df: DifferentialFunction,
+        sd: SameDiff,
+        descriptorAndContext: Pair, OpNamespace.OpDescriptor>
+    )
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-api/src/main/resources/nd4j-op-def.pbtxt b/nd4j/samediff-import/samediff-import-api/src/main/resources/nd4j-op-def.pbtxt
new file mode 100644
index 000000000..b7ee920f0
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-api/src/main/resources/nd4j-op-def.pbtxt
@@ -0,0 +1,20765 @@
+opList {
+  name: "Assert"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "BinaryMinimalRelativeError"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  argDescriptor {
+    name: "thresholdRelative"
+    argType: DOUBLE
+  }
+  argDescriptor {
+    name: "thresholdAbsolute"
+    argType: DOUBLE
+    argIndex: 1
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "BinaryRelativeError"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  argDescriptor {
+    name: "threshold"
+    argType: DOUBLE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "ClipByValue"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "clipValueMin"
+    argType: DOUBLE
+  }
+  argDescriptor {
+    name: "clipValueMax"
+    argType: DOUBLE
+    argIndex: 1
+  }
+}
+opList {
+  name: "Conditional"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  opDeclarationType: LOGIC_OP_IMPL
+}
+opList {
+  name: "ExternalErrorsFn"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+}
+opList {
+  name: "Floor"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "Log1p"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "ParallelConcat"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+}
+opList {
+  name: "Pow"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  opDeclarationType: BROADCASTABLE_OP_IMPL
+}
+opList {
+  name: "Pow_bp"
+  argDescriptor {
+    name: "dLdx"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dLdy"
+    argType: OUTPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dLdz"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "dLdx"
+    argType: INPUT_TENSOR
+    argIndex: 3
+  }
+  argDescriptor {
+    name: "dLdy"
+    argType: INPUT_TENSOR
+    argIndex: 4
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "Reciprocal"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "RelativeError"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "Return"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  opDeclarationType: LOGIC_OP_IMPL
+}
+opList {
+  name: "Scope"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  opDeclarationType: LOGIC_OP_IMPL
+}
+opList {
+  name: "Switch"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "condition"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  opDeclarationType: DIVERGENT_OP_IMPL
+}
+opList {
+  name: "Where"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "condition"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "While"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "isConstant"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "condition"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "frameName"
+    argType: STRING
+  }
+  opDeclarationType: LOGIC_OP_IMPL
+}
+opList {
+  name: "_geluderivative"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "_mishderivative"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "_powderivative"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "pow"
+    argType: DOUBLE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "_precise_geluderivative"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "precise"
+    argType: BOOL
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: LEGACY_XYZ
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+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "test_output_reshape"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "test_scalar"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "testcustom"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "testop2i2o"
+  argDescriptor {
+    name: "xO"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "yO"
+    argType: OUTPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "testreduction"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  opDeclarationType: REDUCTION_OP_IMPL
+}
+opList {
+  name: "tf_atan2"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: BROADCASTABLE_OP_IMPL
+}
+opList {
+  name: "thresholdedrelu"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "cutoff"
+    argType: DOUBLE
+  }
+  opDeclarationType: CONFIGURABLE_OP_IMPL
+}
+opList {
+  name: "thresholdedrelu_bp"
+  argDescriptor {
+    name: "dLdI"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dLdO"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "cutoff"
+    argType: DOUBLE
+  }
+  opDeclarationType: CONFIGURABLE_OP_IMPL
+}
+opList {
+  name: "tile"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "is_static_reps"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "reps_vector"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dimensions"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "tile_bp"
+  argDescriptor {
+    name: "gradI"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "gradO"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "repeat"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "tile_to_shape"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "tile_to_shape_bp"
+  argDescriptor {
+    name: "gradX"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "epsNext"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "timesoneminus"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "to_double"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "to_float16"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "to_float32"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "to_int32"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "to_int64"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "to_uint32"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "to_uint64"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "toggle_bits"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "top_k"
+  argDescriptor {
+    name: "values"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "indices"
+    argType: OUTPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "needSort"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "k"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "trace"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "transpose"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "permuteDims"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "tri"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "row"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "column"
+    argType: INT64
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "diag"
+    argType: INT64
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "triangular_solve"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "isLower"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "useAdjoint"
+    argType: BOOL
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "a"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "b"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "lower"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "adjoint"
+    argType: INPUT_TENSOR
+    argIndex: 3
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "triu"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "diag"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "triu_bp"
+  argDescriptor {
+    name: "gradI"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "gradO"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "diag"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "truncatediv"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: BROADCASTABLE_OP_IMPL
+}
+opList {
+  name: "unique"
+  argDescriptor {
+    name: "values"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "indices"
+    argType: OUTPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unique_with_counts"
+  argDescriptor {
+    name: "values"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "indices"
+    argType: OUTPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "counts"
+    argType: OUTPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_max"
+  argDescriptor {
+    name: "segmentedOutput"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_max_bp"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_mean"
+  argDescriptor {
+    name: "segmentedOutput"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_mean_bp"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_min"
+  argDescriptor {
+    name: "segmentedOutput"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_min_bp"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_prod"
+  argDescriptor {
+    name: "segmentedOutput"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_prod_bp"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_sqrt_n"
+  argDescriptor {
+    name: "segmentedOutput"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_sqrt_n_bp"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_sum"
+  argDescriptor {
+    name: "segmentedOutput"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unsorted_segment_sum_bp"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "idxSegments"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "numSegments"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unstack"
+  argDescriptor {
+    name: "outArrs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dimensions"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "num"
+    argType: INT64
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "unstack_list"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "outputList"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: LIST_OP_IMPL
+}
+opList {
+  name: "upsampling2d"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "nchw"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "factorH"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "factorW"
+    argType: INT64
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "isNCHW"
+    argType: INT64
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "upsampling2d_bp"
+  argDescriptor {
+    name: "gradI"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "nchw"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "gradO"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "scaleW"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "upsampling3d"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "ncdhw"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "factorD"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "factorH"
+    argType: INT64
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "factorW"
+    argType: INT64
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "isNCDHW"
+    argType: INT64
+    argIndex: 3
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "upsampling3d_bp"
+  argDescriptor {
+    name: "gradI"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "ncdhw"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "gradO"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "isNCDHW"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "var"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "biasCorrected"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "keepDims"
+    argType: BOOL
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dimensions"
+    argType: INT64
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "weighted_cross_entropy_with_logits"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "targets"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "weights"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  opDeclarationType: OP_IMPL
+}
+opList {
+  name: "where_np"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "condition"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "write_list"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "list"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "idx"
+    argType: INT64
+  }
+  opDeclarationType: LIST_OP_IMPL
+}
+opList {
+  name: "xor"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "y"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  argDescriptor {
+    name: "comparable"
+    argType: DOUBLE
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "xor_scalar"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  opDeclarationType: LEGACY_XYZ
+}
+opList {
+  name: "xw_plus_b"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "weights"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "b"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "bTranspose"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "xw_plus_b_bp"
+  argDescriptor {
+    name: "dLdx"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dLdw"
+    argType: OUTPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dLdb"
+    argType: OUTPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "w"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "b"
+    argType: INPUT_TENSOR
+    argIndex: 2
+  }
+  argDescriptor {
+    name: "dLdz"
+    argType: INPUT_TENSOR
+    argIndex: 3
+  }
+  argDescriptor {
+    name: "bTranspose"
+    argType: INT64
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "yiq_to_rgb"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dimC"
+    argType: INT64
+  }
+  opDeclarationType: CONFIGURABLE_OP_IMPL
+}
+opList {
+  name: "yuv_to_rgb"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dimC"
+    argType: INT64
+  }
+  opDeclarationType: CONFIGURABLE_OP_IMPL
+}
+opList {
+  name: "zero_fraction"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "zeros_as"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dtype"
+    argType: DATA_TYPE
+  }
+}
+opList {
+  name: "zeros_like"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+}
+opList {
+  name: "zeroslike"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: INT64
+  }
+}
+opList {
+  name: "zeta"
+  argDescriptor {
+    name: "outputs"
+    argType: OUTPUT_TENSOR
+  }
+  argDescriptor {
+    name: "inPlace"
+    argType: BOOL
+  }
+  argDescriptor {
+    name: "input"
+    argType: INPUT_TENSOR
+  }
+  argDescriptor {
+    name: "q"
+    argType: INPUT_TENSOR
+    argIndex: 1
+  }
+  argDescriptor {
+    name: "dataType"
+    argType: DATA_TYPE
+  }
+  opDeclarationType: CONFIGURABLE_OP_IMPL
+}
+opList {
+  name: "placeholder"
+  opDeclarationType: LOGIC_OP_IMPL
+}
diff --git a/nd4j/samediff-import/samediff-import-onnx/onnx-processes.pbtxt b/nd4j/samediff-import/samediff-import-onnx/onnx-processes.pbtxt
new file mode 100644
index 000000000..7ce82052d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/onnx-processes.pbtxt
@@ -0,0 +1,6749 @@
+mappings {
+  frameworkName: "onnx"
+  opName: "add"
+  inputFrameworkOpName: "Add"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    inputToOutput {
+      key: "y"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Add"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Add"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "tan"
+  inputFrameworkOpName: "Tan"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Tan"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Tan"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "or"
+  inputFrameworkOpName: "Or"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Or"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Or"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputFloatName: "comparable"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "comparable"
+        argType: DOUBLE
+      }
+    }
+    inputFrameworkOpName: "Or"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "reduce_max"
+  inputFrameworkOpName: "ReduceMax"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "data"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "data"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "ReduceMax"
+  }
+  rule {
+    ruleName: "invertbooleannumber"
+    functionName: "invertbooleannumber"
+    inputIntName: "keepdims"
+    outputBooleanName: "keepDims"
+    inputToOutput {
+      key: "keepDims"
+      value: "keepdims"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ReduceMax"
+  }
+  rule {
+    ruleName: "listnumbertolistnumber"
+    functionName: "listnumbertolistnumber"
+    inputToOutput {
+      key: "dimensions"
+      value: "axes"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ReduceMax"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "maxpool2d"
+  inputFrameworkOpName: "MaxPool"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isNCHW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isNCHW"
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "extraParam0"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "extraParam0"
+        argType: INT64
+        argIndex: 9
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isSameMode"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isSameMode"
+        argType: INT64
+        argIndex: 8
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dH"
+    outputIntName: "dH"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dH"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dW"
+    outputIntName: "dW"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dW"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "pads"
+    outputIntName: "pH"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pH"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pH"
+      transformerArgs {
+        name: "pads"
+        argIndex: 4
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    transformerArgs {
+      key: "pH"
+      transformerArgs {
+        name: "pads"
+        argIndex: 4
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "pads"
+    outputIntName: "pW"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pW"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "sH"
+    outputIntName: "sH"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sH"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "sH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "sH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "sW"
+    outputIntName: "sW"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sW"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "sW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "sW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kH"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kH"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kH"
+      transformerArgs {
+        name: "kernel_shape"
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kW"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kW"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kW"
+      transformerArgs {
+        name: "kernel_shape"
+        int64Value: 1
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+}
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+}
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+      value: "input"
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+}
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+  rule {
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+  rule {
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+    functionName: "ndarrayinputtonumericalattribute"
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+      value: "data"
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+  rule {
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+    functionName: "listnumbertondarray"
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+}
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+    functionName: "invertbooleannumber"
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+}
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+}
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+}
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+}
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+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pW"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "AveragePool"
+  }
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "strides"
+    }
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+        argIndex: 2
+      }
+    }
+    inputFrameworkOpName: "AveragePool"
+  }
+  rule {
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+    functionName: "listattributevaluelookuptoindex"
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+    inputFloatName: "strides"
+    inputToOutput {
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+      value: "strides"
+    }
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+        argIndex: 3
+      }
+    }
+    inputFrameworkOpName: "AveragePool"
+  }
+  rule {
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+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kW"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
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+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
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+        int64Value: 1
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "AveragePool"
+  }
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+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kH"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
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+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kH"
+      transformerArgs {
+        name: "kernel_shape"
+      }
+    }
+    inputFrameworkOpName: "AveragePool"
+  }
+}
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+  opName: "dropout_inverted"
+  inputFrameworkOpName: "Dropout"
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+    functionName: "ndarraymapping"
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+  rule {
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+    functionName: "ndarrayinputtonumericalattribute"
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+      value: "ratio"
+    }
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+  }
+}
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+}
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+}
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+  rule {
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+    inputFrameworkOpName: "PRelu"
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+}
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+}
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+      value: "B"
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+    inputToOutput {
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+      value: "initial_h"
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+    inputToOutput {
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+    functionName: "stringtoindex"
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+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "GreaterOrEqual"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "depth_to_space"
+  inputFrameworkOpName: "DepthToSpace"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "DepthToSpace"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputIntName: "blocksize"
+    outputIntName: "block_size"
+    inputToOutput {
+      key: "block_size"
+      value: "blocksize"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "DepthToSpace"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isNHWC"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isNHWC"
+        int64Value: 1
+        argType: INT64
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "DepthToSpace"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "isnan"
+  inputFrameworkOpName: "IsNaN"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "IsNaN"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "IsNaN"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "divide"
+  inputFrameworkOpName: "Div"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    inputToOutput {
+      key: "y"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Div"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Div"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "neg"
+  inputFrameworkOpName: "Neg"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Neg"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Neg"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "matrix_determinant"
+  inputFrameworkOpName: "Det"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Det"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Det"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "pad"
+  inputFrameworkOpName: "Pad"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "data"
+    inputTensorName: "pads"
+    outputTensorName: "input"
+    outputTensorName: "paddings"
+    inputToOutput {
+      key: "input"
+      value: "data"
+    }
+    inputToOutput {
+      key: "paddings"
+      value: "pads"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Pad"
+  }
+  rule {
+    ruleName: "stringtoindex"
+    functionName: "stringtoindex"
+    inputStringAttrName: "mode"
+    outputIntName: "mode"
+    inputFloatName: "mode"
+    inputFloatName: "mode"
+    inputFloatName: "mode"
+    inputToOutput {
+      key: "mode"
+      value: "mode"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "mode"
+      transformerArgs {
+        name: "mode"
+        stringValue: "constant"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "reflect"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "edge"
+      }
+    }
+    transformerArgs {
+      key: "mode"
+      transformerArgs {
+        name: "mode"
+        stringValue: "constant"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "reflect"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "edge"
+      }
+    }
+    transformerArgs {
+      key: "mode"
+      transformerArgs {
+        name: "mode"
+        stringValue: "constant"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "reflect"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "edge"
+      }
+    }
+    inputFrameworkOpName: "Pad"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputFloatName: "padValue"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "padValue"
+        argType: DOUBLE
+      }
+    }
+    inputFrameworkOpName: "Pad"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "conv2d"
+  inputFrameworkOpName: "Conv"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    inputTensorName: "W"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "weights"
+    outputTensorName: "bias"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    inputToOutput {
+      key: "weights"
+      value: "W"
+    }
+    inputToOutput {
+      key: "bias"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isNCHW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isNCHW"
+        argType: INT64
+        argIndex: 9
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "wFormat"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "wFormat"
+        int64Value: 1
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "stringequals"
+    functionName: "stringequals"
+    inputStringAttrName: "auto_pad"
+    outputIntName: "isSameMode"
+    inputFloatName: "auto_pad"
+    inputToOutput {
+      key: "isSameMode"
+      value: "auto_pad"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isSameMode"
+      transformerArgs {
+        name: "auto_pad"
+        argIndex: 8
+        stringValue: "SAME"
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dH"
+    outputIntName: "dH"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dH"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dW"
+    outputIntName: "dW"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dW"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "pH"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pH"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pH"
+      transformerArgs {
+        name: "pads"
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "pW"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pW"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "strides"
+    outputIntName: "sH"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sH"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 2
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 2
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "strides"
+    outputIntName: "sW"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sW"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 3
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 3
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kW"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kW"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kW"
+      transformerArgs {
+        name: "kernel_shape"
+        int64Value: 1
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kH"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kH"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kH"
+      transformerArgs {
+        name: "kernel_shape"
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "greater"
+  inputFrameworkOpName: "Greater"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    inputToOutput {
+      key: "y"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Greater"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Greater"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "sign"
+  inputFrameworkOpName: "Sign"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Sign"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Sign"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "softsign"
+  inputFrameworkOpName: "Softsign"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Softsign"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Softsign"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "exp"
+  inputFrameworkOpName: "Exp"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Exp"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Exp"
+  }
+}
diff --git a/nd4j/samediff-import/samediff-import-onnx/ops-added-new.txt b/nd4j/samediff-import/samediff-import-onnx/ops-added-new.txt
new file mode 100644
index 000000000..e9e606e63
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/ops-added-new.txt
@@ -0,0 +1,2 @@
+Constant,input
+Exp,output
diff --git a/nd4j/samediff-import/samediff-import-onnx/ops-imported-new.txt b/nd4j/samediff-import/samediff-import-onnx/ops-imported-new.txt
new file mode 100644
index 000000000..7f074f247
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/ops-imported-new.txt
@@ -0,0 +1 @@
+Exp,output
diff --git a/nd4j/samediff-import/samediff-import-onnx/ops-removed-new.txt b/nd4j/samediff-import/samediff-import-onnx/ops-removed-new.txt
new file mode 100644
index 000000000..1aafc3b01
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/ops-removed-new.txt
@@ -0,0 +1,2 @@
+input
+output
diff --git a/nd4j/samediff-import/samediff-import-onnx/pom.xml b/nd4j/samediff-import/samediff-import-onnx/pom.xml
new file mode 100644
index 000000000..68c80e38d
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/pom.xml
@@ -0,0 +1,77 @@
+
+
+
+
+
+  4.0.0
+
+  samediff-import-onnx
+
+
+  
+    org.nd4j
+    samediff-import
+    1.0.0-SNAPSHOT
+  
+
+  samediff-import-onnx
+  
+    5.10.0.202012080955-r
+  
+
+  
+    
+      
+        org.jetbrains.kotlin
+        kotlin-maven-plugin
+      
+    
+  
+
+
+  
+    
+      org.nd4j
+      samediff-import-api
+      ${project.version}
+    
+
+    
+    
+      org.eclipse.jgit
+      org.eclipse.jgit
+      ${jgit.version}
+      test
+    
+
+    
+    
+      org.eclipse.jgit
+      org.eclipse.jgit.lfs
+      ${jgit.version}
+    
+
+
+  
+
+
+
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxIR.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxIR.kt
new file mode 100644
index 000000000..257092bea
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxIR.kt
@@ -0,0 +1,143 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx
+
+import onnx.Onnx
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.api.ndarray.INDArray
+
+import org.nd4j.samediff.frameworkimport.ir.*
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.shade.protobuf.ByteString
+import java.nio.charset.Charset
+import kotlin.collections.ArrayList
+
+
+
+
+fun attrDefaultValue(): IRAttribute {
+    return OnnxIRAttr(Onnx.AttributeProto.getDefaultInstance(), Onnx.AttributeProto.getDefaultInstance())
+}
+
+
+fun Onnx.GraphProto.nodeByName(name: String): Onnx.NodeProto {
+    return this.nodeList.first { it.name == name }!!
+}
+
+
+fun onnxAttributeTypeFor(attributeName: String,opDef: Onnx.NodeProto): AttributeValueType {
+    if(isOnnxTensorName(attributeName,opDef))
+        return AttributeValueType.TENSOR
+    return OnnxIRAttr(opDef.attributeList.first {
+            attributeProto -> attributeProto.name == attributeName },
+        Onnx.AttributeProto.getDefaultInstance()).attributeValueType()
+}
+
+fun isOnnxTensorName(name: String, opDef: Onnx.NodeProto): Boolean {
+    return opDef.inputList.contains(name)
+}
+
+
+fun isOnnxAttributeName(name: String, opDef: Onnx.NodeProto): Boolean {
+    return opDef.attributeList.map { attrDef -> attrDef.name }.contains(name)
+}
+
+
+fun convertToOnnxDataType(dataType: DataType): Onnx.TensorProto.DataType {
+    return when (dataType) {
+        DataType.UINT16 -> Onnx.TensorProto.DataType.UINT16
+        DataType.UINT32 ->  Onnx.TensorProto.DataType.UINT32
+        DataType.UINT64 ->  Onnx.TensorProto.DataType.UINT64
+        DataType.BOOL ->  Onnx.TensorProto.DataType.BOOL
+        DataType.FLOAT ->  Onnx.TensorProto.DataType.FLOAT
+        DataType.INT ->  Onnx.TensorProto.DataType.INT32
+        DataType.LONG ->  Onnx.TensorProto.DataType.INT64
+        DataType.BYTE ->  Onnx.TensorProto.DataType.INT8
+        DataType.SHORT -> Onnx.TensorProto.DataType.INT16
+        DataType.DOUBLE -> Onnx.TensorProto.DataType.DOUBLE
+        DataType.UBYTE ->  Onnx.TensorProto.DataType.UINT8
+        DataType.HALF ->  Onnx.TensorProto.DataType.FLOAT16
+        DataType.UTF8 ->  Onnx.TensorProto.DataType.STRING
+        else -> throw UnsupportedOperationException("Unknown Onnx data type: [" + dataType.name + "]")
+    }
+}
+
+
+fun convertToOnnxTensor(inputArray: INDArray, name: String): Onnx.TensorProto {
+    val dtype = convertToOnnxDataType(inputArray.dataType())
+    val newBuilder = Onnx.TensorProto.newBuilder()
+    newBuilder.dataType = dtype
+    newBuilder.addAllDims(inputArray.shape().toList())
+    newBuilder.name = name
+    when(dtype) {
+        Onnx.TensorProto.DataType.STRING -> {
+            return OnnxTensorProto {
+                val stringList = ArrayList()
+                for (i in 0 until inputArray.length()) {
+                    stringList.add(inputArray.getString(i))
+                }
+
+                newBuilder.addAllStringData(stringList.map { input -> ByteString.copyFrom(input.toByteArray(Charset.defaultCharset())) })
+            }
+        }
+
+        Onnx.TensorProto.DataType.DOUBLE -> {
+            newBuilder.addAllDoubleData(inputArray.data().asDouble().asList())
+        }
+
+        Onnx.TensorProto.DataType.FLOAT -> {
+            newBuilder.addAllFloatData(inputArray.data().asFloat().asList())
+        }
+
+        Onnx.TensorProto.DataType.INT32 -> {
+            newBuilder.addAllInt32Data(inputArray.data().asInt().asList())
+        }
+
+        Onnx.TensorProto.DataType.INT64 -> {
+            newBuilder.addAllInt64Data(inputArray.data().asLong().asList())
+        }
+
+        else -> {
+            newBuilder.rawData = ByteString.copyFrom(inputArray.data().asBytes())
+        }
+    }
+    return newBuilder.build()
+
+}
+
+
+fun attributeValueTypeForOnnxAttribute(attributeDef: Onnx.AttributeProto) : AttributeValueType {
+    when(attributeDef.type) {
+        Onnx.AttributeProto.AttributeType.STRING -> return AttributeValueType.STRING
+        Onnx.AttributeProto.AttributeType.STRINGS -> return AttributeValueType.LIST_STRING
+        Onnx.AttributeProto.AttributeType.INT-> return AttributeValueType.INT
+        Onnx.AttributeProto.AttributeType.INTS -> return AttributeValueType.LIST_INT
+        Onnx.AttributeProto.AttributeType.FLOAT -> return AttributeValueType.FLOAT
+        Onnx.AttributeProto.AttributeType.FLOATS -> return AttributeValueType.LIST_FLOAT
+        Onnx.AttributeProto.AttributeType.TENSOR -> return AttributeValueType.TENSOR
+        Onnx.AttributeProto.AttributeType.TENSORS -> return AttributeValueType.LIST_TENSOR
+    }
+
+    return AttributeValueType.INVALID
+}
+
+
+
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxImportGraph.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxImportGraph.kt
new file mode 100644
index 000000000..47d484dfb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxImportGraph.kt
@@ -0,0 +1,27 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx
+
+import onnx.Onnx
+import org.nd4j.samediff.frameworkimport.ImportGraph
+
+class OnnxImportGraph:
+    ImportGraph() {
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxImportGraphHolder.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxImportGraphHolder.kt
new file mode 100644
index 000000000..e8e0c1a2e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxImportGraphHolder.kt
@@ -0,0 +1,38 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx
+
+import org.nd4j.samediff.frameworkimport.ImportGraph
+import org.nd4j.samediff.frameworkimport.ImportGraphHolder
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+class OnnxImportGraphHolder: ImportGraphHolder {
+
+    override fun frameworkName(): String {
+      return "onnx"
+    }
+
+    override fun  createImportGraph(
+
+    ): ImportGraph {
+      return OnnxImportGraph() as   ImportGraph
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxProtobufExtensions.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxProtobufExtensions.kt
new file mode 100644
index 000000000..639fd3a8e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxProtobufExtensions.kt
@@ -0,0 +1,195 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx
+
+import onnx.Onnx
+import onnx.OnnxOperators
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.shade.protobuf.ByteString
+import java.nio.charset.Charset
+
+fun NodeProto(block: Onnx.NodeProto.Builder.() -> Unit): Onnx.NodeProto {
+    return Onnx.NodeProto.newBuilder().apply(block).build()
+}
+
+fun AttributeProto(block: Onnx.AttributeProto.Builder.() -> Unit) : Onnx.AttributeProto {
+    return Onnx.AttributeProto.newBuilder().apply { block }.build()
+}
+
+fun Onnx.AttributeProto.Builder.TensorValue(inputValue: Onnx.TensorProto) {
+    this.addTensors(inputValue)
+}
+
+fun Onnx.AttributeProto.Builder.StringValue(inputValue: String) {
+    this.addStrings(ByteString.copyFrom(inputValue.toByteArray(Charset.defaultCharset())))
+}
+
+fun Onnx.NodeProto.Builder.Attribute(attribute: Onnx.AttributeProto) {
+    this.addAttribute(attribute)
+}
+
+fun Onnx.NodeProto.Builder.Input(inputName: String) {
+    this.addInput(inputName)
+}
+
+fun Onnx.NodeProto.Builder.Output(inputName: String) {
+    this.addOutput(inputName)
+}
+
+fun Onnx.GraphProto.Builder.Initializer(tensor: Onnx.TensorProto) {
+    this.addInitializer(tensor)
+}
+
+fun OperatorSetIdProto(block: Onnx.OperatorSetIdProto.Builder.() -> Unit): Onnx.OperatorSetIdProto {
+    return Onnx.OperatorSetIdProto.newBuilder().apply(block).build()
+}
+
+fun OperatorSetProto(block: OnnxOperators.OperatorSetProto.Builder.() -> Unit): OnnxOperators.OperatorSetProto {
+    return OnnxOperators.OperatorSetProto.newBuilder().apply { block }.build()
+}
+
+fun Onnx.ModelProto.Builder.OpSetImport(opSetImport: Onnx.OperatorSetIdProto) {
+    this.addOpsetImport(opSetImport)
+}
+
+fun ModelProto(block: Onnx.ModelProto.Builder.() -> Unit): Onnx.ModelProto {
+    return Onnx.ModelProto.newBuilder()
+        .apply(block).build()
+}
+
+fun TensorDefinition(block: Onnx.TypeProto.Tensor.Builder.() -> Unit) : Onnx.TypeProto.Tensor {
+    return Onnx.TypeProto.Tensor.newBuilder().apply(block).build()
+}
+
+fun TypeProto(block: Onnx.TypeProto.Builder.() -> Unit): Onnx.TypeProto {
+    return Onnx.TypeProto.newBuilder().apply(block).build()
+}
+
+fun GraphProto(block: Onnx.GraphProto.Builder.() -> Unit): Onnx.GraphProto {
+    return Onnx.GraphProto.newBuilder()
+        .apply(block).build()
+}
+
+fun OnnxDim(block: Onnx.TensorShapeProto.Dimension.Builder.() -> Unit): Onnx.TensorShapeProto.Dimension {
+    return Onnx.TensorShapeProto.Dimension.newBuilder().apply(block).build()
+}
+
+
+fun Onnx.TensorShapeProto.Builder.OnnxShape(dims: List) {
+    this.addAllDim(dims.map { inputDim -> OnnxDim {
+        dimValue = inputDim
+    } })
+}
+
+
+fun OnnxShapeProto(block: Onnx.TensorShapeProto.Builder.() -> Unit): Onnx.TensorShapeProto {
+    return Onnx.TensorShapeProto.newBuilder().apply(block).build()
+}
+
+fun ValueInfoProto(block: Onnx.ValueInfoProto.Builder.() -> Unit): Onnx.ValueInfoProto {
+    return Onnx.ValueInfoProto.newBuilder()
+        .apply(block).build()
+}
+
+fun Onnx.GraphProto.Builder.Output(input: Onnx.ValueInfoProto) {
+    this.addOutput(input)
+}
+
+
+fun Onnx.GraphProto.Builder.Input(input: Onnx.ValueInfoProto) {
+    this.addInput(input)
+}
+
+fun Onnx.GraphProto.Builder.Node(inputNode: Onnx.NodeProto) {
+    this.addNode(inputNode)
+}
+
+fun Onnx.AttributeProto.Builder.Tensor(inputTensor: Onnx.TensorProto) {
+    this.addTensors(inputTensor)
+}
+
+fun OnnxTensorProto(block: Onnx.TensorProto.Builder.() -> Unit): Onnx.TensorProto {
+    return Onnx.TensorProto.newBuilder().apply { block }.build()
+}
+
+fun Onnx.TensorProto.Builder.OnnxDataType(value: Onnx.TensorProto.DataType) {
+    this.dataType = value
+}
+
+fun Onnx.TensorProto.Builder.OnnxRawData(byteArray: ByteArray) {
+    this.rawData = ByteString.copyFrom(byteArray)
+}
+
+fun Onnx.TensorProto.Builder.Shape(shape: List) {
+    this.dimsList.clear()
+    this.dimsList.addAll(shape)
+}
+
+fun Onnx.TensorProto.Builder.LongData(longData: List) {
+    this.addAllInt64Data(longData)
+}
+
+fun Onnx.TensorProto.Builder.IntData(intData: List) {
+    this.addAllInt32Data(intData)
+}
+
+fun Onnx.TensorProto.Builder.FloatData(floatData: List) {
+    this.addAllFloatData(floatData)
+}
+
+
+fun Onnx.TensorProto.Builder.DoubleData(doubleData: List) {
+    this.addAllDoubleData(doubleData)
+}
+
+fun Onnx.TensorProto.Builder.StringData(stringData: List) {
+    this.addAllStringData(stringData.map { ByteString.copyFrom(it.toByteArray(Charset.defaultCharset())) })
+}
+
+fun Onnx.TensorProto.Builder.BoolData(boolData: List) {
+    this.addAllInt32Data(boolData.map { input -> if(input) 1 else 0  })
+}
+
+
+fun createValueInfoFromTensor(arr: INDArray,valueInfoName: String,useShape: Boolean = true): Onnx.ValueInfoProto {
+    if(useShape)
+        return ValueInfoProto {
+            name = valueInfoName
+            type = TypeProto {
+                tensorType =  TensorDefinition {
+                    elemType = convertToOnnxDataType(arr.dataType())
+                    shape = OnnxShapeProto {
+                        OnnxShape(arr.shape().toList())
+                    }
+                }
+
+            }
+        }
+    else
+        return ValueInfoProto {
+            name = valueInfoName
+            type = TypeProto {
+                tensorType =  TensorDefinition {
+                    elemType = convertToOnnxDataType(arr.dataType())
+                }
+
+            }
+        }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxRuleDeclarations.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxRuleDeclarations.kt
new file mode 100644
index 000000000..75eef9df8
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/OnnxRuleDeclarations.kt
@@ -0,0 +1,392 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.onnx.definitions.onnxOpRegistry
+import org.nd4j.samediff.frameworkimport.onnx.process.OnnxMappingProcess
+import org.nd4j.samediff.frameworkimport.onnx.rule.attribute.*
+import org.nd4j.samediff.frameworkimport.onnx.rule.tensor.NDArrayMappingRule
+import org.nd4j.samediff.frameworkimport.onnx.rule.tensor.OnnxMultiInputIndexMappingRule
+import org.nd4j.samediff.frameworkimport.onnx.rule.tensor.OnnxPassThroughMultiInputTensorMapping
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+
+fun mappingNDArrayInputs(inputs: MutableMap) : NDArrayMappingRule {
+    return NDArrayMappingRule(
+        mappingNamesToPerform = inputs)
+}
+
+
+fun mappingListNDArrays(inputs: MutableMap) : OnnxMultiInputIndexMappingRule {
+    return OnnxMultiInputIndexMappingRule(
+        mappingNamesToPerform = inputs)
+}
+
+fun passThroughNDArrayInputs() : OnnxPassThroughMultiInputTensorMapping {
+    return OnnxPassThroughMultiInputTensorMapping()
+}
+
+fun conditionalFieldValueIntIndexNDArrayRule(outputAttribute: String,
+                                             inputFrameworkAttributeName: String,
+                                             targetValue: String,
+                                             trueIndex: Int,
+                                             falseIndex: Int,
+                                             argumentIndex: Int): OnnxConditionalFieldValueIntIndexNDArrayRule {
+    return OnnxConditionalFieldValueIntIndexNDArrayRule(
+        mappingNamesToPerform = mutableMapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(ArgDescriptor {
+            name = "targetValue"
+            stringValue = targetValue
+            argIndex = argumentIndex
+        },
+            ArgDescriptor {
+                name = "trueIndex"
+                int64Value = trueIndex.toLong()
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "falseIndex"
+                int64Value = falseIndex.toLong()
+                argIndex = argumentIndex
+            }))
+    )
+}
+
+
+fun ndarrayExtractScalarValue(outputAttribute: String,
+                              inputFrameworkAttributeName: String,
+                              argumentIndex: Int,
+                              scalarIndex: Int) : OnnxNDArrayExtractScalarValue {
+    return OnnxNDArrayExtractScalarValue(
+        mappingNamesToPerform = mutableMapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(
+            ArgDescriptor {
+                name = inputFrameworkAttributeName
+                int64Value = scalarIndex.toLong()
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                argIndex = argumentIndex
+            })))
+}
+
+
+fun conditionalFieldValueIntIndexArrayRule(outputAttribute: String,
+                                           inputFrameworkAttributeName: String,
+                                           targetValue: String,
+                                           trueIndex: Int,
+                                           falseIndex: Int,
+                                           argumentIndex: Int): OnnxConditionalFieldValueIntIndexArrayRule {
+    return OnnxConditionalFieldValueIntIndexArrayRule(
+        mappingNamesToPerform = mutableMapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(ArgDescriptor {
+            name = "targetValue"
+            stringValue = targetValue
+            argIndex = argumentIndex
+        },
+            ArgDescriptor {
+                name = "trueIndex"
+                int64Value = trueIndex.toLong()
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "falseIndex"
+                int64Value = falseIndex.toLong()
+                argIndex = argumentIndex
+            }))
+    )
+}
+
+fun valueMappings(mappings: Map): OnnxValueMapping {
+    return OnnxValueMapping(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+fun ndarrayAttributeToNDArrayInput(mappings: Map): OnnxNDArrayAttributeToNDArrayInput {
+    return OnnxNDArrayAttributeToNDArrayInput(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+/**
+ * This will change a boolean to a number and a number to a boolean
+ */
+fun invertBooleanNumber(mappings: Map): OnnxInvertBooleanNumber {
+    return OnnxInvertBooleanNumber(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+
+fun dataTypeToInt(mappings: Map): OnnxDataTypeToInt {
+    return OnnxDataTypeToInt(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+
+fun sizeAtRule(dimensionIndex: Int, outputAttributeName: String, inputFrameworkAttributeName: String,argumentIndex: Int): OnnxNDArraySizeAt {
+    return OnnxNDArraySizeAt(
+        mappingNamesToPerform = mapOf(outputAttributeName to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttributeName to listOf(ArgDescriptor {
+            name = inputFrameworkAttributeName
+            int64Value = dimensionIndex.toLong()
+            argIndex = argumentIndex
+        }))
+    )
+}
+
+fun stringEqualsRule(outputAttribute: String, inputFrameworkAttributeName: String, valueToTest: String,argumentIndex: Int): OnnxStringEqualsAdapterRule {
+    return OnnxStringEqualsAdapterRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(ArgDescriptor {
+            name = inputFrameworkAttributeName
+            stringValue = valueToTest
+            argIndex = argumentIndex
+        })))
+}
+
+
+fun stringContainsRule(outputAttribute: String, inputFrameworkAttributeName: String, valueToTest: String,argumentIndex: Int): OnnxStringContainsAdapterRule {
+    return OnnxStringContainsAdapterRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(ArgDescriptor {
+            name = inputFrameworkAttributeName
+            stringValue = valueToTest
+            argIndex = argumentIndex
+        })))
+}
+
+
+fun stringNotEqualsRule(outputAttribute: String, inputFrameworkAttributeName: String, valueToTest: String,argumentIndex: Int): OnnxStringNotEqualsAdapterRule {
+    return OnnxStringNotEqualsAdapterRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(ArgDescriptor {
+            name = inputFrameworkAttributeName
+            stringValue = valueToTest
+            argIndex = argumentIndex
+        })))
+}
+
+
+fun ndarrayToIntList(ndarrayNameToAttributeName: MutableMap): OnnxNDArrayToIntAttributeValue {
+    return OnnxNDArrayToIntAttributeValue(mappingNamesToPerform = ndarrayNameToAttributeName)
+}
+
+fun sizeThreshold(outputAttribute: String, inputFrameworkAttributeName: String, sizeThreshold: Long, index: Long, fallbackIndex: Long,argumentIndex: Int): OnnxSizeThresholdIntArrayIntIndexRule {
+    return OnnxSizeThresholdIntArrayIntIndexRule(mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(
+            ArgDescriptor {
+                name = "index"
+                int64Value = index
+                argIndex = argIndex
+            },
+            ArgDescriptor {
+                name = "sizeThreshold"
+                int64Value = sizeThreshold
+                argIndex = argIndex
+            },
+            ArgDescriptor {
+                name = "fallbackIndex"
+                int64Value = fallbackIndex
+                argIndex = argumentIndex
+            })))
+}
+
+
+fun stringToIndex(outputAttributeValue: String, inputAttributeValue: String, listOfValues: List,argumentIndex: Int): OnnxStringToIndex {
+    return OnnxStringToIndex(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs =
+    mapOf(outputAttributeValue to listOfValues.map {
+            valueName -> ArgDescriptor {
+        name = outputAttributeValue
+        stringValue = valueName
+        argIndex = argumentIndex
+    }
+    }))
+}
+
+
+fun mapStringToInt(outputAttributeValue: String, inputAttributeValue: String, mapOfValuesToInts: Map,argumentIndex: Int,lookupIndex: Int): OnnxMapStringToInt {
+    return OnnxMapStringToInt(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs =
+    mapOf(outputAttributeValue to mapOfValuesToInts.map {
+            entry -> ArgDescriptor {
+        name = entry.key
+        int64Value = entry.value.toLong()
+        argIndex = argumentIndex
+    }
+    },"index" to listOf(ArgDescriptor {
+        name = "index"
+        int64Value = lookupIndex.toLong()
+    })))
+}
+
+
+fun listAttributeValueLookup(outputAttributeValue: String, inputAttributeValue: String, indexValue: Int,argumentIndex: Int,defaultValueIfNotFound: OpNamespace.ArgDescriptor? = null): OnnxListAttributeValueLookupToIndex {
+    if(defaultValueIfNotFound != null)
+        return OnnxListAttributeValueLookupToIndex(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),
+            transformerArgs = mapOf(outputAttributeValue to listOf(ArgDescriptor {
+                name = inputAttributeValue
+                int64Value = indexValue.toLong()
+                argIndex = argumentIndex
+            },defaultValueIfNotFound!!)
+            ))
+    else
+        return OnnxListAttributeValueLookupToIndex(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),
+            transformerArgs = mapOf(outputAttributeValue to listOf(ArgDescriptor {
+                name = inputAttributeValue
+                int64Value = indexValue.toLong()
+                argIndex = argumentIndex
+            })
+            ))
+}
+
+fun listNumberToListNumber(outputAttributeValue: String, inputAttributeValue: String): OnnxListNumberToListNumber {
+    return OnnxListNumberToListNumber(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+fun convertStringToNDArray(outputAttributeValue: String, inputAttributeValue: String): OnnxStringAttributeToNDArray {
+    return OnnxStringAttributeToNDArray(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+fun convertNumericalListToNDArray(outputAttributeValue: String, inputAttributeValue: String): OnnxAttributeNumberListNDArray {
+    return OnnxAttributeNumberListNDArray(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+
+
+fun listNumberToNDarray(outputAttributeValue: String, inputAttributeValue: String): OnnxListNumberToNDArray {
+    return OnnxListNumberToNDArray(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+fun convertNDArrayInputToScalarAttr(outputAttributeValue: String, inputAttributeValue: String): OnnxNDArrayInputToNumericalAttribute {
+    return OnnxNDArrayInputToNumericalAttribute(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+fun ndarrayAttributeToScalarAttribute(outputAttributeValue: String, inputAttributeValue: String): OnnxAttributeNDArrayToScalarAttribute {
+    return OnnxAttributeNDArrayToScalarAttribute(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+fun attributeScalarToNDArrayInput(outputAttributeValue: String, inputAttributeValue: String): OnnxAttributeScalarNDArrayAttribute {
+    return OnnxAttributeScalarNDArrayAttribute(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+fun argDescriptorConstant(argDescriptorConstants: List): OnnxArgDescriptorConstant {
+    return OnnxArgDescriptorConstant(mappingNamesToPerform = emptyMap(),transformerArgs = mapOf("value" to argDescriptorConstants))
+}
+
+
+//TODO: TreeEnsembleClassifier
+//TODO: TreeEnsembleRegressor
+//TODO: Unique PRIORITIZE
+//TODO: Unsqueeze PRIORITIZE
+//TODO: Upsample PRIORITIZE
+//TODO: Where PRIORITIZE
+//TODO: ZipMap
+fun defOnnxSingleTransform(opName: String, inputFrameworkOpName: String, outputName: String, inputFrameworkInput: String = "input", attributeMappingRules: List> = emptyList()): OnnxMappingProcess {
+    return OnnxMappingProcess(
+        opName = opName,
+        tensorMappingRules = listOf(
+            NDArrayMappingRule(mappingNamesToPerform = mutableMapOf(outputName to inputFrameworkInput))
+        ),
+        inputFrameworkOpName = inputFrameworkOpName,
+        inputFramework = "onnx",
+        attributeMappingRules = attributeMappingRules,
+        opMappingRegistry = onnxOpRegistry
+    )
+}
+
+fun defineOnnxPairwiseTransforms(opName: String, inputFrameworkOpName: String,
+                                 firstOutputName: String = "input",
+                                 secondOutputName: String = "y",
+                                 firstInput: String = "A", secondInput: String = "B") : OnnxMappingProcess {
+    return OnnxMappingProcess(
+        opName = opName,
+        tensorMappingRules = listOf(
+            NDArrayMappingRule(
+                mappingNamesToPerform = mutableMapOf(
+                    firstOutputName to firstInput,
+                    secondOutputName to secondInput
+                )
+            )
+        ),
+        inputFrameworkOpName = inputFrameworkOpName,
+        inputFramework = "onnx",
+        opMappingRegistry = onnxOpRegistry
+    )
+}
+
+fun defineOnnxSingleTransform(inputOpName: String, inputFrameworkOpName: String): OnnxMappingProcess {
+    return OnnxMappingProcess(
+        opName = inputOpName,
+        inputFrameworkOpName = inputFrameworkOpName, tensorMappingRules = listOf(
+            NDArrayMappingRule(
+                mappingNamesToPerform = mutableMapOf("input" to "input")
+            )
+        ),
+        attributeMappingRules = booleanConstant(inputName = "inPlace", constantValue = false, argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry
+    )
+
+}
+
+fun flattenDims(outputName: String, inputFrameworkName: String, axis: Long, argumentIndex: Int): OnnxFlattenDims {
+    return OnnxFlattenDims(
+        mutableMapOf(outputName to inputFrameworkName),
+        mapOf(outputName to listOf(ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            int64Value = axis
+            name = outputName
+            argIndex = argumentIndex
+        }))
+    )
+}
+
+fun booleanConstant(inputName: String, constantValue: Boolean, argumentIndex: Int): List {
+    return listOf(argDescriptorConstant(listOf(
+        ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+            name = inputName
+            argIndex = argumentIndex
+            boolValue = constantValue
+        }
+    )))
+}
+
+fun doubleConstant(inputName: String, constantValue: Double, argumentIndex: Int): List {
+
+    return listOf(argDescriptorConstant(listOf(
+        ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+            name = inputName
+            argIndex = argumentIndex
+            doubleValue = constantValue
+        }
+    )))
+}
+
+fun intConstant(inputName: String, constantValue: Int, argumentIndex: Int): List {
+    return listOf(argDescriptorConstant(listOf(
+        ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            name = inputName
+            argIndex = argumentIndex
+            int64Value = constantValue.toLong()
+        }
+    )))
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/context/OnnxMappingContext.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/context/OnnxMappingContext.kt
new file mode 100644
index 000000000..1265d15cb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/context/OnnxMappingContext.kt
@@ -0,0 +1,147 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.context
+
+import onnx.Onnx
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.context.AbstractMappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.onnx.convertToOnnxTensor
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRGraph
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRNode
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRTensor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import java.lang.IllegalArgumentException
+
+class OnnxMappingContext(opDef: Onnx.NodeProto, node: Onnx.NodeProto, graph:
+IRGraph, dynamicVariables: MutableMap) :
+    AbstractMappingContext(opDef, node, graph,dynamicVariables) {
+
+    override fun attrDef(name: String): Onnx.AttributeProto {
+        val ret = opDef().attributeList.firstOrNull { it.name == name }
+        return ret!!
+    }
+
+    override fun irAttributeValueForNode(valueName: String): IRAttribute {
+        val attrDef = attrDef(valueName)
+        var attrValue = node.attributeList.firstOrNull { it.name == valueName }
+        if(attrValue == null && attrDef.name == "value" && opDef.opType == "Constant")
+        //allow dummy values
+            attrValue = Onnx.AttributeProto.newBuilder()
+                .setName("value").addTensors(Onnx.TensorProto.getDefaultInstance())
+                .build()
+        else if(attrValue == null) {
+            attrValue = Onnx.AttributeProto.newBuilder()
+                .setName(valueName)
+                .build()
+            println("Unable to resolve attribute for name $valueName for node ${nodeName()} for op type ${opName()}")
+        }
+        return OnnxIRAttr(inputAttributeDef = attrDef, inputAttributeValue = attrValue!!)
+
+    }
+
+    override fun tensorInputFor(name: String): IRTensor {
+        var foundIndex = -1
+        opDef.inputList.forEachIndexed {
+                index,argDef -> if(argDef == name) foundIndex = index
+        }
+
+        return tensorInputFromInputFrameworkName(name)
+    }
+
+    override fun opName(): String {
+        return opDef.opType
+    }
+
+    override fun nodeName(): String {
+        return opDef.name
+    }
+
+    override fun nd4jDataTypeFor(input: IRTensor): DataType {
+        return input.dataType().nd4jDataType()
+    }
+
+    override fun createIRTensorFromNDArray(ndarray: INDArray): IRTensor {
+        return OnnxIRTensor(convertToOnnxTensor(ndarray, "tensor"))
+    }
+
+    override fun tensorAttributeFor(name: String): IRTensor {
+        return irAttributeValueForNode(name).tensorValue()
+    }
+
+    override fun irNode(): IRNode {
+        return OnnxIRNode(node,  OpDescriptorLoaderHolder.listForFramework("onnx")[node.opType]!!,graph.opMappingRegistry())
+    }
+
+    override fun tensorInputFromInputFrameworkName(name: String): IRTensor {
+        val castedGraph = graph as OnnxIRGraph
+        val graphDef = castedGraph.graphDef()
+        var foundIndex = opDef.inputList.map { input -> input.toString() }.indexOf(name)
+        //optional or unknown tensors
+        if(foundIndex < 0 || foundIndex >= node.inputCount) {
+            println("Node with name ${nodeName()} for opdef with name ${opDef.name} did not contain a tensor with name ${name}, returning empty tensor")
+            return OnnxIRTensor(Onnx.TensorProto.getDefaultInstance())
+        }
+
+        /**
+         * Use op definition name as 1 unified reference name in rules for static purposes, but
+         * look up via index for specific node mappings.
+         *
+         * This is equivalent to the tf input position attribute value in the previous tensorflow import.
+         */
+        val graphNode = if(node.opType == "Constant") name else node.getInput(foundIndex)
+        val attemptedTensor = graphDef.initializerList.firstOrNull { it.name == graphNode }
+
+        //no value to be found on placeholder, return default instance
+        //if no value exists it's an output from another node
+        if(attemptedTensor == null) {
+            println("Value for node $graphNode is not a constant! This method only works for constants. Consider replacing the Placeholder node with a Constant node. This will return an empty tensor.")
+            if(!dynamicVariables.containsKey(graphNode))
+                return OnnxIRTensor(Onnx.TensorProto.getDefaultInstance())
+            else {
+                val toConvert = dynamicVariables[graphNode]!!
+                return OnnxIRTensor(toConvert)
+            }
+        }
+
+        //value nodes are the values of attributes that are input nodes in a frozen graph
+        if(attemptedTensor == null) {
+            throw IllegalArgumentException("Name $name not found in initializer list.")
+        }
+        return OnnxIRTensor(attemptedTensor!!)
+    }
+
+    override fun nodeInputNameForOpDefInputName(name: String): String {
+        var foundIndex = opDef.inputList.map { input -> input.toString() }.indexOf(name)
+        if(foundIndex < 0) {
+           throw IllegalArgumentException("No name ${name} found on op def with name ${opDef.name}")
+        }
+        return node.getInput(foundIndex)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/definitions/OnnxOpDeclarations.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/definitions/OnnxOpDeclarations.kt
new file mode 100644
index 000000000..bcba3cc42
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/definitions/OnnxOpDeclarations.kt
@@ -0,0 +1,1033 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.definitions
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.onnx.*
+import org.nd4j.samediff.frameworkimport.onnx.process.OnnxMappingProcess
+import org.nd4j.samediff.frameworkimport.onnx.rule.tensor.NDArrayMappingRule
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.registry.OpRegistryHolder
+
+val onnxOpRegistry = OpMappingRegistry("onnx",OpDescriptorLoaderHolder.nd4jOpDescriptor)
+fun registry(): OpMappingRegistry {
+        return onnxOpRegistry
+}
+
+
+val names = mapOf(
+        "Acos" to "acos",
+        "Acosh" to "acosh",
+        "Asin" to "asin",
+        "Asinh" to "asinh",
+        "Atan" to "atan",
+        "Atanh" to "atanh",
+        "Cos" to "cos",
+        "Cosh" to "cosh",
+        "Erf" to "erf",
+        "Exp" to "exp",
+        "Identity" to "identity",
+        "Log" to "log",
+        "Sign" to "sign",
+        "Sin" to "sin",
+        "Sinh" to "sinh",
+        "Softsign" to "softsign",
+        "Tan" to "tan",
+        "Tanh" to "tanh"
+
+)
+
+val pairWiseNames = mapOf(
+        "And" to "boolean_and")
+
+val equal = OnnxMappingProcess(
+        inputFrameworkOpName = "Equal",
+        opName = "equals",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+
+val sub = OnnxMappingProcess(
+        inputFrameworkOpName = "Sub",
+        opName = "subtract",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+val mul = OnnxMappingProcess(
+        inputFrameworkOpName = "Mul",
+        opName = "multiply",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+val lessEqual = OnnxMappingProcess(
+        inputFrameworkOpName = "LessOrEqual",
+        opName = "less_equal",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+
+val less = OnnxMappingProcess(
+        inputFrameworkOpName = "Less",
+        opName = "less",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+val greaterEqual = OnnxMappingProcess(
+        inputFrameworkOpName = "GreaterOrEqual",
+        opName = "greater_equal",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+
+val greater = OnnxMappingProcess(
+        inputFrameworkOpName = "Greater",
+        opName = "greater",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+val divide = OnnxMappingProcess(
+        inputFrameworkOpName = "Div",
+        opName = "divide",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+
+val add = OnnxMappingProcess(
+        inputFrameworkOpName = "Add",
+        opName = "add",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+//Adagrad
+//Adam
+
+
+//unmapped: select_last_index
+val argMax = OnnxMappingProcess(
+        opName = "argmax",
+        inputFrameworkOpName = "ArgMax",
+        tensorMappingRules = listOf(NDArrayMappingRule(mappingNamesToPerform = mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                valueMappings(mutableMapOf("dimensions" to "axis"))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+//unmapped: select_last_index
+val argMin = OnnxMappingProcess(
+        opName = "argmin",
+        inputFrameworkOpName = "ArgMin",
+        tensorMappingRules = listOf(NDArrayMappingRule(mappingNamesToPerform = mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                valueMappings(mutableMapOf("dimensions" to "axis"))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+//Note:  weight formats are NCHW in ONNX
+val avgPool = OnnxMappingProcess(
+        inputFrameworkOpName = "AveragePool",
+        opName = "avgpool2d",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = listOf(
+                argDescriptorConstant(argDescriptorConstants = listOf(ArgDescriptor {
+                        name = "isNCHW"
+                        int64Value = 1
+                        argIndex = 10
+                })),
+                intConstant(inputName = "dH",constantValue = 0,argumentIndex = 6)[0],
+                intConstant(inputName = "dW",constantValue = 0,argumentIndex = 7)[0],
+                intConstant(inputName = "extraParam0",constantValue = 0,argumentIndex = 9)[0],
+                stringContainsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "auto_pad",valueToTest = "SAME",argumentIndex = 8),
+                listAttributeValueLookup(outputAttributeValue = "pH",inputAttributeValue = "pads",indexValue = 0,argumentIndex = 4),
+                listAttributeValueLookup(outputAttributeValue = "pW",inputAttributeValue = "pads",indexValue = 1,argumentIndex = 5),
+                listAttributeValueLookup(outputAttributeValue = "sH",inputAttributeValue = "strides",indexValue = 0,argumentIndex = 2),
+                listAttributeValueLookup(outputAttributeValue = "sW",inputAttributeValue = "strides",indexValue = 1,argumentIndex = 3),
+                listAttributeValueLookup(outputAttributeValue = "kW",inputAttributeValue = "kernel_shape",indexValue = 1,argumentIndex = 1),
+                listAttributeValueLookup(outputAttributeValue = "kH",inputAttributeValue = "kernel_shape",indexValue = 0,argumentIndex = 0)))
+
+val batchNorm = OnnxMappingProcess(
+        opName = "batchnorm",
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "BatchNormalization",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X","mean" to "mean","variance" to "var","gamma" to "scale"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("epsilon" to "epsilon")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                booleanConstant(inputName = "applyGamma",constantValue = true,argumentIndex = 1)[0],
+                booleanConstant(inputName = "applyBeta",constantValue = true,argumentIndex = 2)[0],
+                intConstant(inputName = "applyScale",constantValue = 1,argumentIndex = 0)[0],
+                intConstant(inputName = "applyOffset",constantValue = 1,argumentIndex = 1)[0]
+        ))
+//TODO: Binarizer
+//TODO: Bitshift
+//TODO: Cast
+//TODO: CastMap
+//TODO: CategoryMapper
+//TODO: Celu
+//TODO: Clip
+//TODO: Compress
+val concat = OnnxMappingProcess(
+        opName = "concat",
+        inputFrameworkOpName = "Concat",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "inputs"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("concatDimension" to "axis")),
+                booleanConstant(inputName = "isDynamicAxis",constantValue = false,argumentIndex = 0)[0])
+
+)
+//TODO: ConcatFromSequence
+val constantFill = OnnxMappingProcess(
+        opName = "fill",
+        inputFrameworkOpName = "ConstantOfShape",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("shape" to "input"))),
+        attributeMappingRules = listOf(ndarrayAttributeToScalarAttribute(outputAttributeValue = "value",inputAttributeValue = "value"),
+                intConstant(inputName = "outputDataType",constantValue = 0,argumentIndex = 0)[0])
+)
+
+//TODO: ConvInteger
+//TODO: ConvTranspose
+val cumSum = OnnxMappingProcess(
+        opName = "cumsum",
+        inputFrameworkOpName = "CumSum",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("exclusive" to "exclusive","reverse" to "reverse")),
+                ndarrayToIntList(ndarrayNameToAttributeName = mutableMapOf("dimensions" to "axis")))
+)
+
+val depthToSpace = OnnxMappingProcess(
+        opName = "depth_to_space",
+        inputFrameworkOpName = "DepthToSpace",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        //note onnx is NCHW by default
+        attributeMappingRules = listOf(valueMappings(mapOf("block_size" to "blocksize")),
+                intConstant(inputName = "isNHWC",constantValue = 1,argumentIndex = 1)[0]),
+        opMappingRegistry = onnxOpRegistry
+)
+
+//TODO: DequantizeLinear
+val determinant = OnnxMappingProcess(
+        opName = "matrix_determinant",
+        inputFrameworkOpName = "Det",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+//TODO: DictVectorizer
+//Dropout: Note https://github.com/eclipse/deeplearning4j/issues/5650
+val dropout = OnnxMappingProcess(
+        opName = "dropout_inverted",
+        inputFrameworkOpName = "Dropout",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(convertNDArrayInputToScalarAttr(outputAttributeValue = "p" ,inputAttributeValue = "ratio")),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+val floor = OnnxMappingProcess(
+        opName = "floor",
+        inputFrameworkOpName = "Floor",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry
+)
+
+val round = OnnxMappingProcess(
+        opName = "round",
+        inputFrameworkOpName = "Round",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry
+)
+
+val mod = OnnxMappingProcess(
+        opName = "mod",
+        inputFrameworkOpName = "Mod",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+val sigmoid = OnnxMappingProcess(
+        opName = "sigmoid",
+        inputFrameworkOpName = "Sigmoid",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+val logSoftmax = OnnxMappingProcess(
+        opName = "log_softmax",
+        inputFrameworkOpName = "LogSoftmax",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMappings(mutableMapOf("dimension" to "axis"))),
+        opMappingRegistry = onnxOpRegistry
+)
+val softmax = OnnxMappingProcess(
+        opName = "softmax",
+        inputFrameworkOpName = "Softmax",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMappings(mutableMapOf("dimension" to "axis")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0]),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+//TODO: DynamicQuantizeLinear
+//TODO: Einsum
+//TODO: Expand
+//TODO: EyeLike
+//TODO: FeatureVectorizer
+val gru = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "GRU",
+        opName = "gruCell",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "X",
+                "Wru" to "R",
+                "Wc" to "W",
+                "bc" to "B",
+                "hLast" to "initial_h",
+                //TODO: erroneous mappings
+                "bru" to "B"))),
+        attributeMappingRules = listOf()
+)
+
+val gather = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "Gather",
+        opName = "gather",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("indices" to "indices","input" to "data"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("dimensions" to "axis")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0])
+)
+//TODO: GatherElements
+val gatherNd = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "GatherND",
+        opName = "gather_nd",
+        attributeMappingRules = booleanConstant(inputName = "checkIndices",constantValue = true,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("indices" to "indices","input" to "data")))
+)
+
+
+
+
+val gemm = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "Gemm",
+        opName = "matmul",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("alpha" to "alpha","beta" to "beta",
+                "transposeX" to "transA", "transposeY" to "transB")),
+                booleanConstant(inputName = "transZ",constantValue = false,argumentIndex = 2)[0],
+                booleanConstant(inputName = "transposeZ",constantValue = false,argumentIndex = 2)[0],
+                invertBooleanNumber(mutableMapOf("transX" to "transA","transY" to "transB")))
+)
+//TODO: GlobalAveragePool
+//TODO: GlobalLpPool
+//TODO: GlobalMaxPool
+//TODO: Gradient
+//TODO: GraphCall
+val hardSigmoid = OnnxMappingProcess(
+        opName =  "hard_sigmoid",
+        inputFrameworkOpName = "HardSigmoid",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X")))
+)
+
+
+
+//TODO: map is-negative,is-positive
+val isInf = OnnxMappingProcess(
+        opName = "isinf",
+        inputFrameworkOpName = "IsInf",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = booleanConstant(inputName = "inPlace", constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X")))
+)
+
+
+
+val or = OnnxMappingProcess(
+        opName = "or",
+        inputFrameworkOpName = "Or",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace", constantValue = false,argumentIndex = 0)[0],
+                doubleConstant(inputName = "comparable", constantValue = 0.0,argumentIndex = 0)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "A"))))
+)
+
+val xor = OnnxMappingProcess(
+        opName = "bitwise_xor",
+        inputFrameworkOpName = "Xor",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace", constantValue = false,argumentIndex = 0)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "A","y" to "B"))))
+)
+
+
+
+//TODO: Hardmax
+//TODO: If
+//TODO: Imputer
+//TODO: InstanceNormalization
+val lrn = OnnxMappingProcess(
+        opName = "lrn",
+        inputFrameworkOpName = "LRN",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("alpha" to "alpha","beta" to "beta","bias" to "bias","depth" to "size")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0])
+
+)
+
+//0=tanh, 1=relu, 2=sigmoid, 3=affine, 4=leaky relu, 5= thresholded relu, 6=scaled tanh, 7=hard sigmoid, 8=ELU, 9=softsign, 10=softplus
+
+val lstmActivationMap = mapOf(
+        "Relu" to 1,
+        "Tanh" to 0,
+        "Sigmoid" to 2,
+        "Affine" to 3,
+        "LeakyRelu" to 4,
+        "ThresholdedRelu" to 5,
+        "ScaledTanh" to 6,
+        "HardSigmoid" to 7,
+        "Elu" to 8,
+        "Softsign" to 9,
+        "Softplus" to 10
+)
+
+val lstm = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "LSTM",
+        opName = "lstmLayer",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "X",
+                "Wx" to "W",
+                "Wr" to "R",
+                "Wp" to "P",
+                "b" to "B",
+                "seqLen" to "sequence_lens",
+                "hI" to "initial_h",
+                "cI" to "initial_c"))),
+        attributeMappingRules =  listOf(valueMappings(mapOf("cellClip" to "clip")),
+                stringToIndex(outputAttributeValue = "directionMode",
+                        inputAttributeValue = "direction",
+                        listOfValues = listOf("forward","reverse","bidirectional"),argumentIndex = 1),
+                intConstant(inputName = "dataFormat",constantValue = 0,argumentIndex = 0)[0],
+                booleanConstant(inputName = "hasBiases",constantValue = true,argumentIndex = 0)[0],
+                booleanConstant(inputName = "hasSeqLen",constantValue = true,argumentIndex = 1)[0],
+                booleanConstant(inputName = "hasInitH",constantValue = true,argumentIndex = 2)[0],
+                booleanConstant(inputName = "hasInitC",constantValue = true,argumentIndex = 3)[0],
+                booleanConstant(inputName = "hasPH",constantValue = true,argumentIndex = 4)[0],
+                booleanConstant(inputName = "retFullSeq",constantValue = true,argumentIndex = 5)[0],
+                booleanConstant(inputName = "retLastH",constantValue = true,argumentIndex = 6)[0],
+                booleanConstant(inputName = "retLastC",constantValue = true,argumentIndex = 7)[0],
+                listAttributeValueLookup(outputAttributeValue = "gateAlpha",inputAttributeValue = "activation_alpha",indexValue = 0,argumentIndex = 1),
+                listAttributeValueLookup(outputAttributeValue = "cellAlpha",inputAttributeValue = "activation_alpha",indexValue = 1,argumentIndex = 3),
+                listAttributeValueLookup(outputAttributeValue = "outAlpha",inputAttributeValue = "activation_alpha",indexValue = 2,argumentIndex = 5),
+                listAttributeValueLookup(outputAttributeValue = "gateBeta",inputAttributeValue = "activation_beta",indexValue = 0,argumentIndex = 2),
+                listAttributeValueLookup(outputAttributeValue = "cellBeta",inputAttributeValue = "activation_beta",indexValue = 1,argumentIndex = 4),
+                listAttributeValueLookup(outputAttributeValue = "outBeta",inputAttributeValue = "activation_beta",indexValue = 2,argumentIndex = 6),
+                mapStringToInt(outputAttributeValue = "gateAct",inputAttributeValue = "activations",argumentIndex = 2,mapOfValuesToInts = lstmActivationMap,lookupIndex = 0),
+                mapStringToInt(outputAttributeValue = "cellAct",inputAttributeValue = "activations",argumentIndex = 3,mapOfValuesToInts =lstmActivationMap,lookupIndex = 1),
+                mapStringToInt(outputAttributeValue = "outAct",inputAttributeValue = "activations",argumentIndex = 4,mapOfValuesToInts = lstmActivationMap,lookupIndex = 2))
+)
+//TODO: LabelEncoder
+val leakyRelu = OnnxMappingProcess(
+        inputFrameworkOpName = "LeakyRelu",
+        opName = "leakyrelu",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("alpha" to "alpha"))),
+        opMappingRegistry = onnxOpRegistry
+)
+//TODO: LinearClassifier
+//TODO: LinearRegressor
+//TODO: Loop
+//TODO: LpNormalization
+//TODO: LpPool
+val matMul = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "MatMul",
+        opName = "matmul",
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "transposeX",constantValue = false,argumentIndex = 0)[0],
+                booleanConstant(inputName = "transposeY",constantValue = false,argumentIndex = 1)[0],
+                booleanConstant(inputName = "transposeZ",constantValue = false,argumentIndex = 2)[0],
+                doubleConstant(inputName = "alpha",constantValue = 0.0,argumentIndex = 0)[0],
+                doubleConstant(inputName = "beta",constantValue = 1.0,argumentIndex = 1)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "A","y" to "B")))
+)
+
+
+//TODO: MatMulInteger
+//TODO: Max
+val maxPool = OnnxMappingProcess(
+        inputFrameworkOpName = "MaxPool",
+        opName = "maxpool2d",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = listOf(
+                argDescriptorConstant(argDescriptorConstants = listOf(ArgDescriptor {
+                        name = "isNCHW"
+                        int64Value = 0
+                        argIndex = 10
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                })),
+                intConstant(inputName = "extraParam0",argumentIndex = 9,constantValue = 0)[0],
+                //note this parameter can be 0 for valid, 1 for same, 2 for causal
+                intConstant(inputName = "isSameMode",constantValue = 0,argumentIndex = 8)[0],
+                //stringContainsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "auto_pad",valueToTest = "SAME",argumentIndex = 8),
+                listAttributeValueLookup(outputAttributeValue = "dH",inputAttributeValue = "dilations",indexValue = 0,argumentIndex = 6,defaultValueIfNotFound = ArgDescriptor {
+                        int64Value = 1
+                        name = "dH"
+                        argIndex = 6
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                }),
+                listAttributeValueLookup(outputAttributeValue = "dW",inputAttributeValue = "dilations",indexValue = 1,argumentIndex = 7,
+                        defaultValueIfNotFound = ArgDescriptor {
+                                int64Value = 1
+                                name = "dW"
+                                argIndex = 7
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        }),
+                listAttributeValueLookup(outputAttributeValue = "pH",inputAttributeValue = "pads",indexValue = 0,argumentIndex = 4,defaultValueIfNotFound = ArgDescriptor {
+                        int64Value = 0
+                        name = "pads"
+                        argIndex = 4
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                }),
+                listAttributeValueLookup(outputAttributeValue = "pW",inputAttributeValue = "pads",indexValue = 1,argumentIndex = 5,
+                        defaultValueIfNotFound = ArgDescriptor {
+                                int64Value = 0
+                                name = "pads"
+                                argIndex = 5
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        }),
+                listAttributeValueLookup(outputAttributeValue = "sH",inputAttributeValue = "strides",indexValue = 0,argumentIndex = 2,
+                        defaultValueIfNotFound = ArgDescriptor {
+                                int64Value = 1
+                                name = "sH"
+                                argIndex = 6
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        }),
+                listAttributeValueLookup(outputAttributeValue = "sW",inputAttributeValue = "strides",indexValue = 1,argumentIndex = 3,
+                        defaultValueIfNotFound = ArgDescriptor {
+                                int64Value = 1
+                                name = "sW"
+                                argIndex = 7
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        }),
+                listAttributeValueLookup(outputAttributeValue = "kH",inputAttributeValue = "kernel_shape",indexValue = 0,argumentIndex = 0),
+                listAttributeValueLookup(outputAttributeValue = "kW",inputAttributeValue = "kernel_shape",indexValue = 1,argumentIndex = 1)))
+
+
+//TODO: MaxRoiPool
+//TODO: MaxUnpool
+//TODO: name: "MeanVarianceNormalization"
+//todo: Momentum
+//TODO: Multinomial
+//TODO: NegativeLogLikelihoodLoss
+val nonMaxSuppression = OnnxMappingProcess(
+        inputFrameworkOpName = "NonMaxSuppression",
+        opName = "non_max_suppression_v3",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("maxOutputSize" to "max_output_boxes_per_class"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "boxes" to "boxes",
+                "scales" to "scores",
+                "maxOutSize" to "max_output_boxes_per_class",
+                "iouThreshold" to "iou_threshold",
+                "scoreThreshold" to "score_threshold")))
+)
+//TODO: NonZero PRIORITIZE
+//TODO: Normalizer
+//TODO: OneHot
+//TODO: OneHotEncoder
+//TODO: look at broadcasting rules between slope input
+val pRelu = OnnxMappingProcess(
+        inputFrameworkOpName = "PRelu",
+        opName = "prelu",
+        //TODO: verify default value
+        attributeMappingRules  = listOf(argDescriptorConstant(listOf(
+                ArgDescriptor {
+                        name = "sharedAxes"
+                        argIndex = 0
+                        int64Value = -1
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                }
+        ))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X","alpha" to "slope"))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+val pad = OnnxMappingProcess(
+        inputFrameworkOpName = "Pad",
+        opMappingRegistry = onnxOpRegistry,
+        opName = "pad",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data","paddings" to "pads"))),
+        attributeMappingRules = listOf(
+                stringToIndex(outputAttributeValue = "mode",inputAttributeValue = "mode",listOfValues = listOf("constant","reflect","edge"),argumentIndex = 0),
+                doubleConstant(inputName = "padValue",constantValue = 0.0,argumentIndex = 0)[0])
+)
+
+//TODO: QLinearConv
+//TODO: QLinearMatMul
+//TODO: QuantizeLinear
+//TODO: RNN PRIORITIZE
+val randomNormal = OnnxMappingProcess(
+        inputFrameworkOpName = "RandomNormal",
+        opName = "random_normal",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = listOf(listNumberToNDarray(outputAttributeValue = "input",inputAttributeValue = "shape"))
+)
+
+
+//TODO: RandomNormalLike
+//TODO: Note that the attributes for random unifrom are wrong and needed to be discovered through other means.
+//The combination of a lack of a java class + the c++ calling out to other functions which had the actual parameters
+//names prevented resolution of the real parameter names. May have to look in to values that are passed inline in to functions and look up
+//parameter names that way.
+
+val randomUniform = OnnxMappingProcess(
+        inputFrameworkOpName = "RandomUniform",
+        opName = "randomuniform",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = listOf(valueMappings(mapOf("min" to "low","max" to "high")),
+                listNumberToNDarray(outputAttributeValue = "shape",inputAttributeValue = "shape"))
+)
+
+//TODO: RandomUniformLike
+val range = OnnxMappingProcess(
+        inputFrameworkOpName = "Range",
+        opName = "range",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("from" to "start","to" to "limit","step" to "delta"))),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToScalarAttr(outputAttributeValue = "from",inputAttributeValue = "start"),
+                convertNDArrayInputToScalarAttr(outputAttributeValue = "to",inputAttributeValue = "limit"),
+                convertNDArrayInputToScalarAttr(outputAttributeValue = "step",inputAttributeValue = "delta"))
+)
+
+val neg = OnnxMappingProcess(
+        opName = "neg",
+        inputFrameworkOpName = "Neg",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X")))
+)
+
+
+val norm1 = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceL1",
+        opMappingRegistry = onnxOpRegistry,
+        opName = "reduce_norm1",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes"))
+
+)
+
+val norm2 = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceL2",
+        opMappingRegistry = onnxOpRegistry,
+        opName = "reduce_norm2",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes"))
+)
+
+//TODO: ReduceLogSum
+val reduceLogSumExp = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceLogSumExp",
+        opName = "reduce_logsumexp",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mutableMapOf("keepDims" to "keepdims")),
+                valueMappings(mutableMapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes")),
+        opMappingRegistry = onnxOpRegistry
+)
+val reduceMax = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceMax",
+        opName = "reduce_max",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes")),
+        opMappingRegistry = onnxOpRegistry
+)
+val reduceMean = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceMean",
+        opName = "reduce_mean",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes")),
+        opMappingRegistry = onnxOpRegistry
+)
+val reduceMin = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceMin",
+        opName = "reduce_min",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes")),
+        opMappingRegistry = onnxOpRegistry
+)
+val reduceProd = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceProd",
+        opName = "reduce_prod",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes")),
+        opMappingRegistry = onnxOpRegistry
+)
+
+val reduceSum = OnnxMappingProcess(
+        inputFrameworkOpName = "ReduceSum",
+        opName = "reduce_sum",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(invertBooleanNumber(mapOf("keepDims" to "keepdims")),
+                listNumberToListNumber(outputAttributeValue =  "dimensions",inputAttributeValue = "axes")),
+        opMappingRegistry = onnxOpRegistry
+)
+
+//flattenDims
+val flatten = OnnxMappingProcess(
+        inputFrameworkOpName = "Flatten",
+        opName = "flatten_2d",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMappings(mutableMapOf("dimensions" to "axis"))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+val reshape = OnnxMappingProcess(
+        inputFrameworkOpName = "Reshape",
+        opName = "reshape",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data","shape" to "shape"))),
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("shapeArr" to "shape"))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+//TODO: ReduceSumSquare
+//TODO: Resize PRIORITIZE
+//TODO: ReverseSequence
+//TODO: RoiAlign
+//TODO: SVMClassifier
+//TODO: SVMRegressor
+//TODO: Scaler
+//TODO: Scan
+val scatter = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "ScatterElements",
+        opName = "scatter_update",
+        attributeMappingRules =   listOf(
+                valueMappings(mutableMapOf("dimension" to "axis")),
+                ndarrayToIntList(ndarrayNameToAttributeName = mutableMapOf("indices" to "indices"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("operand" to "data","updates" to "updates")))
+)
+
+/*
+val scatterNd = OnnxMappingProcess(
+        opName = "scatter_nd_update",
+        inputFrameworkOpName = "ScatterNd",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data","indices" to "indices","updates" to "updates"))),
+        opMappingRegistry = onnxOpRegistry
+)
+*/
+
+//TODO: SequenceAt
+//TODO: SequenceConstruct
+//TODO: SequenceErase
+//TODO: SequenceInsert
+//TODO: SequenceLength
+val shape = OnnxMappingProcess(
+        opName = "shape_of",
+        inputFrameworkOpName = "Shape",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "data"))))
+)
+//TODO: Shrink
+
+val not = OnnxMappingProcess(
+        opName = "not",
+        inputFrameworkOpName = "Not",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = doubleConstant(inputName = "comparable",constantValue = 0.0,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "X"))))
+)
+
+
+val pow = OnnxMappingProcess(
+        opName = "pow_pairwise",
+        inputFrameworkOpName = "Pow",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "X","y" to "Y"))))
+)
+
+val size = OnnxMappingProcess(
+        opName = "size",
+        inputFrameworkOpName = "Size",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "data"))))
+)
+
+//TODO: map axes
+//TODO: slice and strided slice work too differently,revisit one
+/*val slice = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "Slice",
+        opName = "strided_slice",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("v_begin" to "starts","v_end" to "ends","v_stride" to "steps",
+        //TODO: note these mappings are erroneous, we need better default values here for equivalent functionality in onnx
+        "begin_mask" to "begin","end_mask" to "end")))
+)*/
+
+
+//TODO: SoftmaxCrossEntropyLoss
+val spaceToDepth = OnnxMappingProcess(
+        opName = "space_to_depth",
+        inputFrameworkOpName = "SpaceToDepth",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("block_size" to "blocksize")),
+                argDescriptorConstant(listOf(ArgDescriptor {
+                        name = "isNHWC"
+                        int64Value = 1
+                        argIndex = 1
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+
+                }))),
+        opMappingRegistry = onnxOpRegistry
+)
+
+//TODO: don't know a good default value for num_splits, look at TF and implementation in libnd4j to figure out best value
+val split = OnnxMappingProcess(
+        opName = "split",
+        inputFrameworkOpName = "Split",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("a" to "input"))),
+        attributeMappingRules = listOf(valueMappings(mapOf("dimensions" to "axis")),
+                intConstant(inputName = "numSplit",constantValue = 0,argumentIndex = 0)[0],
+                listNumberToNDarray(outputAttributeValue = "b" ,inputAttributeValue = "split"))
+)
+
+val sqrt = OnnxMappingProcess(
+        opName = "sqrt",
+        inputFrameworkOpName = "Sqrt",
+        opMappingRegistry = onnxOpRegistry,
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs((mutableMapOf("input" to "X"))))
+)
+
+val softplus = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "Softplus",
+        opName = "softplus",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X")))
+)
+
+//TODO: SplitToSequence
+val squeeze = OnnxMappingProcess(
+        opName = "squeeze",
+        inputFrameworkOpName = "Squeeze",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(convertNumericalListToNDArray(outputAttributeValue = "a" ,inputAttributeValue =  "axes"),
+                listNumberToListNumber(outputAttributeValue = "_a",inputAttributeValue = "axes"))
+)
+
+//TODO: StringNormalizer
+//TODO: TfIdfVectorizer
+//TODO: ThresholdedRelu
+val tile = OnnxMappingProcess(
+        opMappingRegistry = onnxOpRegistry,
+        inputFrameworkOpName = "Tile",
+        opName = "tile",
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "is_static_reps",constantValue = true,argumentIndex = 0)[0],
+                intConstant(inputName = "dimensions",constantValue = 0,argumentIndex = 0)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","reps_vector" to "repeats")))
+)
+
+val topK = OnnxMappingProcess(
+        opName = "top_k",
+        inputFrameworkOpName = "TopK",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "X"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mutableMapOf("needSort" to "sorted")),
+                convertNDArrayInputToScalarAttr(outputAttributeValue = "k",inputAttributeValue = "K")),
+        opMappingRegistry = onnxOpRegistry
+)
+
+val transpose = OnnxMappingProcess(
+        opName = "transpose",
+        inputFrameworkOpName = "Transpose",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        attributeMappingRules = listOf(listNumberToNDarray(outputAttributeValue = "permuteDims", inputAttributeValue = "perm")),
+        opMappingRegistry = onnxOpRegistry
+)
+
+
+val abs = OnnxMappingProcess(
+        opName = "abs", tensorMappingRules = listOf(NDArrayMappingRule(mappingNamesToPerform = mutableMapOf("input" to "X"))),
+        inputFrameworkOpName = "Abs",
+        inputFramework = "onnx",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = onnxOpRegistry)
+
+
+
+val ceil = defOnnxSingleTransform(inputFrameworkOpName = "Ceil",opName = "ceil",inputFrameworkInput = "X",outputName = "input",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+)
+
+
+val const = OnnxMappingProcess(
+        inputFrameworkOpName = "Constant",
+        opName = "noop",
+        opMappingRegistry = onnxOpRegistry,
+        tensorMappingRules = listOf(),
+        attributeMappingRules = listOf())
+
+
+val conv2d = OnnxMappingProcess(
+        inputFramework = "onnx",
+        inputFrameworkOpName = "Conv",
+        opName = "conv2d",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "X","weights" to "W","bias" to "B"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "isNCHW",constantValue = 0,argumentIndex = 9)[0],
+                intConstant(inputName = "wFormat",constantValue = 1,argumentIndex = 10)[0],
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "auto_pad",valueToTest = "SAME",argumentIndex = 8),
+                listAttributeValueLookup(outputAttributeValue = "dH",inputAttributeValue = "dilations",indexValue = 0,argumentIndex = 6,defaultValueIfNotFound = ArgDescriptor {
+                        int64Value = 1
+                        name = "dH"
+                        argIndex = 6
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                }),
+                listAttributeValueLookup(outputAttributeValue = "dW",inputAttributeValue = "dilations",indexValue = 1,argumentIndex = 7,defaultValueIfNotFound = ArgDescriptor {
+                        int64Value = 1
+                        name = "dW"
+                        argIndex = 7
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                }),
+                listAttributeValueLookup(outputAttributeValue = "pH",inputAttributeValue = "pads",indexValue = 0,argumentIndex = 4),
+                listAttributeValueLookup(outputAttributeValue = "pW",inputAttributeValue = "pads",indexValue = 1,argumentIndex = 5),
+                listAttributeValueLookup(outputAttributeValue = "sH",inputAttributeValue = "strides",indexValue = 0,argumentIndex = 2,
+                        defaultValueIfNotFound = ArgDescriptor {
+                                int64Value = 1
+                                name = "strides"
+                                argIndex = 2
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        }),
+                listAttributeValueLookup(outputAttributeValue = "sW",inputAttributeValue = "strides",indexValue = 1,argumentIndex = 3,
+                        defaultValueIfNotFound = ArgDescriptor {
+                                int64Value = 1
+                                name = "strides"
+                                argIndex = 3
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        }),
+                listAttributeValueLookup(outputAttributeValue = "kW",inputAttributeValue = "kernel_shape",indexValue = 1,argumentIndex = 0),
+                listAttributeValueLookup(outputAttributeValue = "kH",inputAttributeValue = "kernel_shape",indexValue = 0,argumentIndex = 1)
+        ),opMappingRegistry = onnxOpRegistry)
+
+val elu = defOnnxSingleTransform(opName = "elu",inputFrameworkOpName = "Elu",outputName = "input",inputFrameworkInput = "X",
+        attributeMappingRules = listOf(valueMappings(mutableMapOf("alpha" to "alpha"))))
+
+
+
+val relu = defOnnxSingleTransform(inputFrameworkOpName = "Relu",opName = "relu",inputFrameworkInput = "X",outputName = "input",
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                doubleConstant(inputName = "cutoff",constantValue = 0.0,argumentIndex = 0)[0]))
+
+val isNan = defOnnxSingleTransform(inputFrameworkOpName = "IsNaN",opName = "isnan",inputFrameworkInput = "X",outputName = "input",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+)
+
+
+val selu = defOnnxSingleTransform(inputFrameworkOpName = "Selu",opName = "selu",inputFrameworkInput = "X",outputName = "input",attributeMappingRules =
+booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+)
+
+
+object OnnxOpDeclarations {
+        init {
+                val onnxops = OpDescriptorLoaderHolder.listForFramework("onnx")
+                val groupedOps = onnxops.values.groupBy { input -> input.name }
+                val singleGroupedOps = HashMap()
+                groupedOps.forEach { name,node ->
+                        singleGroupedOps[name] = node[0]
+                }
+
+                OpRegistryHolder.registerOpList("onnx", singleGroupedOps)
+
+                names.forEach {
+                        defineOnnxSingleTransform(inputFrameworkOpName = it.key,inputOpName = it.value)
+                } ?: "Error initializing single defined transforms in onnx."
+
+                pairWiseNames.forEach {
+                        defineOnnxPairwiseTransforms(opName = it.value,inputFrameworkOpName = it.key)
+                } ?: "Error initializing pair wise transforms"
+
+                onnxops.values.forEach {
+                        onnxOpRegistry.registerInputFrameworkOpDef(it.name,it)
+                }
+
+                OpDescriptorLoaderHolder.nd4jOpDescriptor.opListList.forEach {
+                        onnxOpRegistry.registerNd4jOpDef(it.name,it)
+                }
+
+                OpRegistryHolder.registerOpMappingRegistry("onnx", onnxOpRegistry)
+
+        }
+}
+
+
+val declarations = OnnxOpDeclarations
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/importer/OnnxFrameworkImporter.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/importer/OnnxFrameworkImporter.kt
new file mode 100644
index 000000000..300397e2a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/importer/OnnxFrameworkImporter.kt
@@ -0,0 +1,56 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.importer
+
+import onnx.Onnx
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.FrameworkImporter
+import org.nd4j.samediff.frameworkimport.onnx.OnnxImportGraph
+import org.nd4j.samediff.frameworkimport.onnx.convertToOnnxTensor
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRGraph
+import org.nd4j.samediff.frameworkimport.onnx.opdefs.OnnxOpDescriptorLoader
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import java.io.File
+import java.nio.file.Files
+
+class OnnxFrameworkImporter: FrameworkImporter {
+
+    val onnxImporter = OnnxImportGraph()
+    val loader = OpDescriptorLoaderHolder.listForFramework("onnx")
+    val onnxOpDescriptorLoader = OnnxOpDescriptorLoader()
+    val registry = onnxOpDescriptorLoader.createOpMappingRegistry()
+    val loadedGraphBuilder = Onnx.GraphProto.newBuilder()
+    init {
+        loader.values.forEach { loadedGraphBuilder.addNode(it) }
+    }
+
+    val opDefs = loadedGraphBuilder.build()
+
+    override fun runImport(fileName: String, dynamicVariables: Map): SameDiff {
+        val loadGraph = Onnx.ModelProto.parseFrom(Files.readAllBytes(File(fileName).toPath()))
+        val irGraph = OnnxIRGraph(loadGraph.graph,registry)
+        val dynamicVariablesConverted = HashMap()
+        dynamicVariables.forEach { name, array ->
+            dynamicVariablesConverted[name] = convertToOnnxTensor(array,name)
+        }
+        return onnxImporter.importGraph(irGraph,null,null, dynamicVariablesConverted,registry)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRArgDef.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRArgDef.kt
new file mode 100644
index 000000000..f34ebcd15
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRArgDef.kt
@@ -0,0 +1,49 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.nd4j.samediff.frameworkimport.ir.IRArgDef
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+
+class OnnxIRArgDef(input: Onnx.NodeProto): IRArgDef {
+    private val argDefValue = input
+
+    override fun dataType(): IRDataType {
+        return OnnxIRArgDef(argDefValue).dataType()
+    }
+
+    override fun name(): String {
+        return argDefValue.name
+    }
+
+    override fun description(): String {
+        return argDefValue.docString
+    }
+
+    override fun internalValue(): Onnx.NodeProto {
+        return argDefValue
+    }
+
+    override fun indexOf(): Integer {
+        TODO("Not yet implemented")
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRAttr.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRAttr.kt
new file mode 100644
index 000000000..d66859f5f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRAttr.kt
@@ -0,0 +1,111 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+
+class OnnxIRAttr(inputAttributeDef: Onnx.AttributeProto, inputAttributeValue: Onnx.AttributeProto):
+    IRAttribute {
+
+    private val attributeDef = inputAttributeDef
+    private val attributeValue = inputAttributeValue
+
+    override fun name(): String {
+        return attributeDef.name
+    }
+
+    override fun floatValue(): Float {
+        return attributeValue.f
+    }
+
+    override fun listFloatValue(): List {
+        return attributeValue.floatsList
+    }
+
+
+    override fun intValue(): Long {
+        return attributeValue.i
+    }
+
+    override fun listIntValue(): List {
+        return attributeValue.intsList
+    }
+
+    override fun boolValue(): Boolean {
+        return attributeValue.i > 0
+    }
+
+    override fun listBoolValue(): List {
+        TODO("Implement")
+    }
+
+    override fun attributeValueType(): AttributeValueType {
+        when(attributeDef.type) {
+            Onnx.AttributeProto.AttributeType.STRING -> return AttributeValueType.STRING
+            Onnx.AttributeProto.AttributeType.STRINGS -> return AttributeValueType.LIST_STRING
+            Onnx.AttributeProto.AttributeType.INT -> return AttributeValueType.INT
+            Onnx.AttributeProto.AttributeType.INTS -> return AttributeValueType.LIST_INT
+            Onnx.AttributeProto.AttributeType.FLOAT -> return AttributeValueType.FLOAT
+            Onnx.AttributeProto.AttributeType.FLOATS -> return AttributeValueType.LIST_FLOAT
+            Onnx.AttributeProto.AttributeType.TENSOR -> return AttributeValueType.TENSOR
+            Onnx.AttributeProto.AttributeType.TENSORS -> return AttributeValueType.LIST_TENSOR
+        }
+
+        return AttributeValueType.INVALID
+    }
+
+
+
+    override fun internalAttributeDef(): Onnx.AttributeProto {
+        return attributeDef
+    }
+
+    override fun internalAttributeValue(): Onnx.AttributeProto {
+        return attributeValue
+    }
+
+    override fun listTensorValue(): List> {
+        return attributeValue.tensorsList.map {
+                input ->
+            OnnxIRTensor(input)
+        }
+    }
+
+    override fun tensorValue(): IRTensor {
+        return OnnxIRTensor(attributeValue.t)
+    }
+
+    override fun stringValue(): String {
+        return attributeValue.s.toStringUtf8()
+    }
+
+    override fun listStringValue(): List {
+        return attributeValue.stringsList.map { it.toStringUtf8() }
+    }
+
+    override fun dataTataTypeValue(): IRDataType {
+        return OnnxIRDataType(Onnx.TensorProto.DataType.values()[attributeDef.t.dataType.ordinal])
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRDataType.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRDataType.kt
new file mode 100644
index 000000000..37a1e6213
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRDataType.kt
@@ -0,0 +1,104 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRDataTypeValue
+
+class OnnxIRDataType(inputDataType: Onnx.TensorProto.DataType): IRDataType {
+    val dataType = inputDataType
+
+    override fun convertToDataType(input: Onnx.TensorProto.DataType): IRDataTypeValue {
+        when(input) {
+            Onnx.TensorProto.DataType.UINT64 ->  return IRDataTypeValue.DT_UINT64
+            Onnx.TensorProto.DataType.UINT32 ->  return IRDataTypeValue.DT_UINT32
+            Onnx.TensorProto.DataType.UINT16 ->  return IRDataTypeValue.DT_UINT16
+            Onnx.TensorProto.DataType.INT8  -> return IRDataTypeValue.DT_INT8
+            Onnx.TensorProto.DataType.UINT8 -> return IRDataTypeValue.DT_UINT8
+            Onnx.TensorProto.DataType.FLOAT16 -> return IRDataTypeValue.DT_HALF
+            Onnx.TensorProto.DataType.STRING -> return IRDataTypeValue.DT_STRING
+            Onnx.TensorProto.DataType.FLOAT ->  return IRDataTypeValue.DT_FLOAT
+            Onnx.TensorProto.DataType.DOUBLE -> return IRDataTypeValue.DT_DOUBLE
+            Onnx.TensorProto.DataType.BOOL -> return IRDataTypeValue.DT_BOOL
+            Onnx.TensorProto.DataType.INT64 -> return IRDataTypeValue.DT_INT64
+            Onnx.TensorProto.DataType.INT32 ->  return IRDataTypeValue.DT_INT32
+            Onnx.TensorProto.DataType.INT16 -> return IRDataTypeValue.DT_INT16
+            Onnx.TensorProto.DataType.COMPLEX64 ->  return IRDataTypeValue.DT_COMPLEX64
+            Onnx.TensorProto.DataType.COMPLEX128 ->  return IRDataTypeValue.DT_COMPLEX128
+            Onnx.TensorProto.DataType.UNDEFINED, Onnx.TensorProto.DataType.UNRECOGNIZED ->  TensorNamespace.DataType.UNRECOGNIZED.ordinal
+
+        }
+
+        return IRDataTypeValue.DT_INVALID
+    }
+
+    override fun dataType(): IRDataTypeValue {
+        return convertToDataType(this.dataType)
+    }
+
+    override fun internalValue(): Onnx.TensorProto.DataType {
+        return this.dataType
+    }
+
+    override fun nd4jDataType(): DataType {
+        when(this.dataType) {
+            Onnx.TensorProto.DataType.INT8 -> return DataType.INT8
+            Onnx.TensorProto.DataType.UINT8 ->    return DataType.UINT8
+            Onnx.TensorProto.DataType.UINT64 ->    return DataType.UINT64
+            Onnx.TensorProto.DataType.UINT32 ->   return DataType.INT32
+            Onnx.TensorProto.DataType.UINT16 ->  return DataType.INT16
+            Onnx.TensorProto.DataType.FLOAT16 -> return   return DataType.FLOAT16
+            Onnx.TensorProto.DataType.STRING -> return  return DataType.UTF8
+            Onnx.TensorProto.DataType.FLOAT ->  return  return DataType.FLOAT
+            Onnx.TensorProto.DataType.DOUBLE -> return  return DataType.DOUBLE
+            Onnx.TensorProto.DataType.BOOL -> return  return DataType.BOOL
+            Onnx.TensorProto.DataType.INT64 -> return  return DataType.INT64
+            Onnx.TensorProto.DataType.INT32 ->  return  return DataType.INT32
+            Onnx.TensorProto.DataType.INT16 -> return  return DataType.INT16
+
+        }
+
+        return  return DataType.UNKNOWN
+
+    }
+
+    override fun nameSpaceDataType(): TensorNamespace.DataType {
+        when(this.dataType) {
+            Onnx.TensorProto.DataType.UINT64 ->  return  return TensorNamespace.DataType.INT64
+            Onnx.TensorProto.DataType.UINT32 ->  return TensorNamespace.DataType.INT32
+            Onnx.TensorProto.DataType.UINT16 ->  return TensorNamespace.DataType.INT16
+            Onnx.TensorProto.DataType.FLOAT16 -> return   return TensorNamespace.DataType.FLOAT16
+            Onnx.TensorProto.DataType.STRING -> return  return TensorNamespace.DataType.STRING
+            Onnx.TensorProto.DataType.FLOAT ->  return TensorNamespace.DataType.FLOAT
+            Onnx.TensorProto.DataType.DOUBLE -> return TensorNamespace.DataType.DOUBLE
+            Onnx.TensorProto.DataType.BOOL -> return  return TensorNamespace.DataType.BOOL
+            Onnx.TensorProto.DataType.INT64 -> return  return TensorNamespace.DataType.INT64
+            Onnx.TensorProto.DataType.INT32 ->  return  return TensorNamespace.DataType.INT32
+            Onnx.TensorProto.DataType.INT16 -> return  return TensorNamespace.DataType.INT16
+
+        }
+
+        return TensorNamespace.DataType.UNDEFINED
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraph.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraph.kt
new file mode 100644
index 000000000..86ac5caba
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraph.kt
@@ -0,0 +1,301 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.apache.commons.lang3.StringUtils
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.importInfoForEachNodeInGraph
+import org.nd4j.samediff.frameworkimport.onnx.*
+import org.nd4j.samediff.frameworkimport.onnx.context.OnnxMappingContext
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import java.lang.IllegalArgumentException
+import java.lang.IllegalStateException
+
+class OnnxIRGraph(graphDef: Onnx.GraphProto,opMappingRegistry: OpMappingRegistry): IRGraph<
+        Onnx.GraphProto, Onnx.NodeProto,
+        Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto,
+        Onnx.TensorProto.DataType> {
+
+    var graphDef = graphDef
+    val opList = graphDef.nodeList
+    val opMappingRegistry = opMappingRegistry
+    var cachedNodeList: List>
+    var inputList = ArrayList()
+    var outputList = ArrayList()
+    var variableList = ArrayList()
+    override fun nodeByName(input: String): Onnx.NodeProto {
+        return cachedNodeList.first { inputNode -> inputNode.nodeName() == input }.internalValue()
+    }
+
+    init {
+        //sometimes onnx nodes will have empty names, ensure that each node has a deterministically generated name
+        val indexToNode = HashMap()
+        val graphDefBuilder = graphDef.toBuilder()
+        val opTypes = HashMap()
+        graphDef.nodeList.forEachIndexed { index,node ->
+            if(node.name.isEmpty()) {
+                val newNodeBuilder = node.toBuilder()
+                if(node.outputCount > 1) {
+                    println("Found node with no name and > 1 input.  Node was $node. Using first output as name.")
+                }
+                val newName = node.getOutput(0)
+                newNodeBuilder.name = newName
+                val newNode = newNodeBuilder.build()
+                indexToNode[index] = newNode
+            }
+        }
+
+        if(indexToNode.isNotEmpty()) {
+            indexToNode.forEach { (index, node) ->
+                graphDefBuilder.setNode(index,node)
+            }
+
+            this.graphDef = graphDefBuilder.build()
+        }
+
+        this.graphDef.nodeList.forEach { node ->
+            opTypes[node.name] = node.opType
+        }
+
+        val initializers = this.graphDef.initializerList.map { input -> input.name }
+        println(initializers)
+        cachedNodeList = nodeList()
+        val inputList = this.graphDef.inputList.filter { input -> !opTypes.containsKey(input.name) && !initializers.contains(input.name)}.map { input -> input.name }
+        val varList = this.graphDef.inputList.filter { input -> initializers.contains(input.name) }.map { input -> input.name }
+        println("Inputs $inputList")
+        println("Variables $varList")
+        this.inputList.addAll(inputList)
+        this.variableList.addAll(inputList)
+        outputList.addAll(this.graphDef.outputList.map { input -> input.name })
+    }
+
+
+    override fun nodeList(): List> {
+        val ret2 =
+            ArrayList>()
+        //add all inputs, outputs, initializers together as "nodes" similar to TF
+
+        val identityOp =  OpDescriptorLoaderHolder.listForFramework("onnx")["Constant"]!!
+        //for model import purposes, add identity ops as dummies similar to how tensorflow does placeholders/constants
+        graphDef.inputList.forEach { input ->
+            //note: this is not a real op name in onnx, this is purely for flagging for import to grab the node from the initializer
+            //add dummy values for placeholders
+            val nodeToAdd = NodeProto {
+                opType = "Constant"
+                name = input.name
+                Attribute(
+                    Onnx.AttributeProto.newBuilder().setName("value").addTensors(Onnx.TensorProto.getDefaultInstance())
+                        .build()
+                )
+            }
+
+            ret2.add(OnnxIRNode(nodeToAdd, identityOp,opMappingRegistry))
+        }
+
+        graphDef.nodeList.forEach {
+
+            val opDefOrNull =  OpDescriptorLoaderHolder.listForFramework("onnx")[it.opType]!!
+            if(opDefOrNull == null) {
+                throw IllegalArgumentException("Op def name ${it.opType} not found!")
+            }
+
+            ret2.add(OnnxIRNode(it, opDefOrNull!!,opMappingRegistry))
+        }
+
+        //create dummy nodes by inferring which nodes have outputs
+        //setup identity nodes that reflect the output to automatically
+        //map index outputs to nodes that actually have outputs
+        val outputNames = graphDef.outputList.map { input -> input.name }.toSet()
+        val outputNodes = ArrayList()
+        graphDef.nodeList.forEach { nodeProto ->
+            val outputList = nodeProto.outputList.map { input -> input.toString() }.toSet()
+            val containsAny = outputNames.intersect(outputList)
+            if(containsAny.isNotEmpty()) {
+                outputNodes.add(nodeProto)
+            }
+        }
+
+        outputNodes.forEach { nodeProto ->
+            nodeProto.outputList.forEachIndexed { index, outputName ->
+                val indexOfOutput = if(index < 1) "" else ":$index"
+                if(!ret2.map { node -> node.nodeName() }.contains(outputName)) {
+                    val nodeToAdd = NodeProto {
+                        opType = "Identity"
+                        name = outputName
+                        Input("${nodeProto.name}$indexOfOutput")
+                    }
+
+                    ret2.add(OnnxIRNode(nodeToAdd, identityOp,opMappingRegistry))
+                }
+            }
+
+        }
+
+
+
+        graphDef.initializerList.forEach { initializer ->
+            //note: this is not a real op name in onnx, this is purely for flagging for import to grab the node from the initializer
+            val nodeToAdd = NodeProto {
+                opType = "Constant"
+                name = initializer.name
+                Attribute(
+                    Onnx.AttributeProto.newBuilder().setName("value").addTensors(Onnx.TensorProto.getDefaultInstance())
+                        .build()
+                )
+            }
+
+            ret2.add(OnnxIRNode(nodeToAdd, identityOp,opMappingRegistry))
+        }
+
+        return ret2
+    }
+
+
+    fun graphDef(): Onnx.GraphProto {
+        return graphDef
+    }
+
+    override fun internalValue(): Onnx.GraphProto {
+        return graphDef
+    }
+
+
+
+    override fun createMappingContext(
+        opDef: Onnx.NodeProto,
+        node: Onnx.NodeProto,
+        dynamicVariables: MutableMap
+    ): MappingContext {
+        return OnnxMappingContext(opDef = opDef, node = node, graph = this, dynamicVariables = dynamicVariables)
+    }
+
+    override fun frameworkName(): String {
+        return "onnx"
+    }
+
+    override fun nd4jNameForInternalOpName(name: String): String {
+        return opMappingRegistry.lookupOpMappingProcess(name).opName()
+    }
+
+    override fun isConstantOpName(name: String): Boolean {
+        return name == "Constant" || name == "Placeholder"
+    }
+
+    override fun isConstant(opName: String): Boolean {
+        return opName == "Constant"
+    }
+
+    override fun isPlaceHolder(opName: String): Boolean {
+        return opName == "Constant"
+    }
+
+    override fun shapeOfInput(varName: String): LongArray? {
+        val firstOrNull = graphDef.initializerList.firstOrNull { inputNode -> inputNode.name == varName }
+        if(firstOrNull != null)
+            return firstOrNull.dimsList.toLongArray()
+        return null
+    }
+
+    override fun dataTypeForVariable(varName: String): IRDataType {
+        val firstOrNull = graphDef.initializerList.firstOrNull {
+                inputNode -> inputNode.name == varName }
+        val input = graphDef.inputList.firstOrNull { input2 ->
+            input2.name == varName
+        }
+        if(firstOrNull != null)
+            return OnnxIRDataType(Onnx.TensorProto.DataType.values()[firstOrNull!!.dataType.ordinal])
+        else if(input != null)
+            return OnnxIRDataType(input.type.tensorType.elemType)
+        else
+            return OnnxIRDataType(Onnx.TensorProto.DataType.UNDEFINED)
+    }
+
+    override fun importInfoForEachNode(dynamicVariables: MutableMap): Map, OpNamespace.OpDescriptor>> {
+        return importInfoForEachNodeInGraph(graph = this,dynamicVariables = dynamicVariables)
+    }
+
+    override fun nodeIsPlaceHolder(nodeName: String): Boolean {
+        return this.inputList.contains(nodeName)
+    }
+
+    override fun opMappingRegistry(): OpMappingRegistry {
+        return opMappingRegistry
+    }
+
+    override fun addConstantNode(name: String, value: INDArray) {
+        val graphBuilder = graphDef.toBuilder()
+        val converted = convertToOnnxTensor(value,name)
+        graphBuilder.addInitializer(converted)
+        this.graphDef = graphBuilder.build()
+    }
+
+    override fun updateNode(node: IRNode) {
+        val nodeByName = nodeByName(node.nodeName())
+        val graphBuilder = graphDef.toBuilder()
+        val indexOfNode = graphBuilder.nodeList.indexOf(nodeByName)
+        graphBuilder.setNode(indexOfNode,node.internalValue())
+        this.graphDef = graphBuilder.build()
+    }
+
+    override fun graphOutputs(): List {
+        return outputList
+    }
+
+    override fun outputAt(index: Int): String {
+        return outputList[index]
+    }
+
+    override fun setOutputs(outputs: List) {
+        this.outputList = outputList as ArrayList
+    }
+
+    override fun graphInputs(): List {
+        return inputList
+    }
+
+    override fun inputAt(index: Int): String {
+        return inputList[index]
+    }
+
+    override fun setInputs(inputs: List) {
+        this.inputList = inputs as ArrayList
+    }
+
+    override fun isVariable(nodeName: String): Boolean {
+        return variableList.contains(nodeName)
+    }
+
+    override fun isVariableOpName(name: String): Boolean {
+        return name != "Constant"
+    }
+
+    override fun getConstantArrayForName(name: String): INDArray {
+       return OnnxIRTensor(graphDef.initializerList.first { input -> input.name == name }).toNd4jNDArray()
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraphRunner.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraphRunner.kt
new file mode 100644
index 000000000..31b5d5d46
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraphRunner.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.apache.commons.io.FileUtils
+import org.nd4j.samediff.frameworkimport.onnx.ModelProto
+import org.nd4j.samediff.frameworkimport.onnx.OpSetImport
+import org.nd4j.samediff.frameworkimport.onnx.OperatorSetIdProto
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.onnxruntime.runner.OnnxRuntimeRunner
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.onnx.ValueInfoProto
+import org.nd4j.samediff.frameworkimport.runner.IRGraphRunner
+import java.io.File
+import java.util.*
+
+class OnnxIRGraphRunner(graphDef: OnnxIRGraph, inputNames: List, outputNames: List): IRGraphRunner<
+        Onnx.GraphProto,
+        Onnx.NodeProto,
+        Onnx.NodeProto,
+        Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType> {
+    val graphDef = graphDef
+    val inputNames = inputNames
+    val outputNames = outputNames
+    val graphRunner: OnnxRuntimeRunner
+
+    init {
+        val uuid = UUID.randomUUID().toString()
+        val tempFile = File("tempFile-$uuid.proto")
+        val graphDefBuilder = graphDef.graphDef.toBuilder()
+        //onnx runtime doesn't allow any outputs that aren't defined
+        //already in the model, we need to dynamically modify the model at runtime
+        //to allow things like intermediate results
+        outputNames.forEach {
+          graphDefBuilder.addOutput(ValueInfoProto {
+              name = it
+          })
+        }
+
+        val modelProto = ModelProto {
+            OpSetImport(OperatorSetIdProto {
+                version = 12
+            })
+
+            irVersion = 7
+            graph = graphDefBuilder.build()
+        }
+
+        FileUtils.writeByteArrayToFile(tempFile, modelProto.toByteArray())
+        graphRunner = OnnxRuntimeRunner.builder()
+            .modelUri(tempFile.absolutePath)
+            .build()
+        tempFile.deleteOnExit()
+    }
+
+    override fun graph(): IRGraph {
+        return graphDef
+    }
+
+    override fun run(inputs: Map): Map {
+        return graphRunner.exec(inputs)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRNode.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRNode.kt
new file mode 100644
index 000000000..4319fafe4
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRNode.kt
@@ -0,0 +1,159 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.onnx.attrDefaultValue
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import java.util.HashMap
+
+class OnnxIRNode(inputNode: Onnx.NodeProto, inputOpDef: Onnx.NodeProto,opMappingRegistry: OpMappingRegistry
+):
+    IRNode {
+
+    private var nodeDef = inputNode
+    private val opDef = inputOpDef
+    private val attrDefsMap = attrDefsByName(inputOpDef.attributeList)
+    private val attrMap: Map> =
+        initAttrMapFromNode(inputNode)
+    private val mappingProcess: MappingProcess
+    private val opMappingRegistry = opMappingRegistry
+    init {
+        mappingProcess = opMappingRegistry.lookupOpMappingProcess(inputNode.opType)
+    }
+
+    private fun attrDefsByName(input: List): Map {
+        val ret = HashMap()
+        input.forEach {
+            ret[it.name] = it
+        }
+        return ret
+    }
+
+    private fun initAttrMapFromNode(input: Onnx.NodeProto): Map> {
+        val ret =
+            HashMap>()
+        input.attributeList.forEach {
+            ret[it.name] = OnnxIRAttr(it, it)
+
+        }
+        return ret
+    }
+
+    override fun opName(): String {
+        return nodeDef.opType
+    }
+
+    override fun nodeName(): String {
+        return nodeDef.name
+    }
+
+    override fun inputAt(index: Int): String {
+        if(mappingProcess.indexOverrides().containsKey(index))
+            return nodeDef.getInput(mappingProcess.indexOverrides()[index]!!)
+        return nodeDef.getInput(index)
+    }
+
+    override fun outputAt(index: Int): String {
+        return opDef.getOutput(index)
+    }
+
+
+
+    override fun hasAttribute(inputName: String): Boolean {
+        return nodeDef.attributeList.filter { it.name == inputName }.size > 0
+    }
+
+    override fun attributeMap(): Map> {
+        return attrMap
+    }
+
+    override fun createInputsFrom(inputData: List): List> {
+        return inputData.map { OnnxIRTensor(it) }
+    }
+
+    override fun createOutputsFrom(inputValues: List): List> {
+        return inputValues.map { OnnxIRTensor(it) }
+    }
+
+    override fun getAttribute(inputName: String): IRAttribute {
+        return attrMap.getOrDefault(inputName, attrDefaultValue())
+    }
+
+    override fun internalValue(): Onnx.NodeProto {
+        return nodeDef
+    }
+
+    override fun numInputs(): Int {
+        return nodeDef.inputCount
+    }
+
+    override fun numOutputs(): Int {
+        return nodeDef.outputCount
+    }
+
+    override fun inputs(): List {
+        return nodeDef.inputList
+    }
+
+    override fun outputs(): List {
+        return nodeDef.outputList
+    }
+
+    override fun numInputsForListOfTensors(name: String): Int {
+        return nodeDef.inputCount
+    }
+
+    override fun inputNamesForListOfInputValues(inputListName: String): List {
+        return nodeDef.inputList
+    }
+
+    override fun computeAdjustedOffsetForInput(
+        nd4jName: String,
+        inputFrameworkName: String,
+        tensorInputMappings: Map
+    ): Int {
+        //onnx doesn't have lists of values like this
+        return lookupIndexForArgDescriptor(
+            argDescriptorName = nd4jName,
+            opDescriptorName = this.opName(),
+            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+        )
+    }
+
+    override fun nd4jInputs(tensorMappings: Map): List {
+        return nodeDef.inputList
+    }
+
+    override fun addInput(inputName: String) {
+        val nodeBuilder = nodeDef.toBuilder()
+        nodeBuilder.addInput(inputName)
+        this.nodeDef = nodeBuilder.build()
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIROp.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIROp.kt
new file mode 100644
index 000000000..34696b609
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIROp.kt
@@ -0,0 +1,58 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.nd4j.samediff.frameworkimport.ir.IRArgDef
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IROpDef
+
+class OnnxIROp(input: Onnx.NodeProto):
+    IROpDef {
+
+    val opDef = input
+
+    override fun attributes(): List> {
+        return opDef.attributeList.map {
+            OnnxIRAttr(it, Onnx.AttributeProto.getDefaultInstance())
+        }
+    }
+
+    override fun opName(): String {
+        return opDef.name
+    }
+
+    override fun internalValue(): Onnx.NodeProto {
+        return opDef
+    }
+
+    override fun inputArgs(): List> {
+        return opDef.inputList.map {
+            OnnxIRArgDef(opDef)
+        }
+    }
+
+    override fun outputArgs(): List> {
+        return opDef.outputList.map {
+            OnnxIRArgDef(opDef)
+        }
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRTensor.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRTensor.kt
new file mode 100644
index 000000000..51472bc81
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRTensor.kt
@@ -0,0 +1,116 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.ir
+
+import onnx.Onnx
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.ndarrayFromNameSpaceTensor
+
+class OnnxIRTensor(input: Onnx.TensorProto): IRTensor {
+
+    val tensor = input
+
+
+    override fun shape(): List {
+        return tensor.dimsList
+    }
+
+    override fun stride(): List {
+        return Nd4j.getStrides(shape().toTypedArray().toLongArray(), 'c').asList()
+    }
+
+    override fun dataType(): IRDataType {
+        return OnnxIRDataType(Onnx.TensorProto.DataType.values()[tensor.dataType.ordinal])
+    }
+
+    override fun toArgTensor(): TensorNamespace.TensorProto {
+        val builder = TensorNamespace.TensorProto.newBuilder()
+            .setDataLocation(TensorNamespace.TensorProto.DataLocation.DEFAULT)
+
+        for(i in 0 until tensor.dimsCount) {
+            builder.addDims(tensor.getDims(i))
+        }
+
+        when(tensor.dataType) {
+            Onnx.TensorProto.DataType.UINT64 -> builder.dataType = TensorNamespace.DataType.UINT64.ordinal
+            Onnx.TensorProto.DataType.UINT32 -> builder.dataType = TensorNamespace.DataType.UINT32.ordinal
+            Onnx.TensorProto.DataType.UINT16 -> builder.dataType = TensorNamespace.DataType.UINT16.ordinal
+            Onnx.TensorProto.DataType.FLOAT16 -> builder.dataType = TensorNamespace.DataType.FLOAT16.ordinal
+            Onnx.TensorProto.DataType.STRING -> builder.dataType = TensorNamespace.DataType.STRING.ordinal
+            Onnx.TensorProto.DataType.FLOAT -> builder.dataType  = TensorNamespace.DataType.FLOAT.ordinal
+            Onnx.TensorProto.DataType.DOUBLE -> builder.dataType = TensorNamespace.DataType.DOUBLE.ordinal
+            Onnx.TensorProto.DataType.BOOL -> builder.dataType = TensorNamespace.DataType.BOOL.ordinal
+            Onnx.TensorProto.DataType.INT64 -> builder.dataType = TensorNamespace.DataType.INT64.ordinal
+            Onnx.TensorProto.DataType.INT32 -> builder.dataType = TensorNamespace.DataType.INT32.ordinal
+            Onnx.TensorProto.DataType.INT16 -> builder.dataType = TensorNamespace.DataType.INT16.ordinal
+            Onnx.TensorProto.DataType.COMPLEX64 -> builder.dataType = TensorNamespace.DataType.COMPLEX64.ordinal
+            Onnx.TensorProto.DataType.COMPLEX128 -> builder.dataType = TensorNamespace.DataType.COMPLEX128.ordinal
+            Onnx.TensorProto.DataType.UNDEFINED, Onnx.TensorProto.DataType.UNRECOGNIZED ->  TensorNamespace.DataType.UNRECOGNIZED.ordinal
+
+        }
+
+
+        if(tensor.doubleDataList != null && tensor.doubleDataCount > 0) {
+            builder.addAllDoubleData(tensor.doubleDataList)
+        }
+
+        if(tensor.stringDataList != null && tensor.stringDataCount > 0) {
+            builder.addAllStringData(tensor.stringDataList)
+        }
+
+        if(tensor.floatDataList != null && tensor.floatDataCount > 0) {
+            builder.addAllFloatData(tensor.floatDataList)
+        }
+
+        if(tensor.int32DataList != null && tensor.int32DataCount > 0) {
+            builder.addAllInt32Data(tensor.int32DataList)
+        }
+
+        if(tensor.int64DataCount != null && tensor.int64DataCount > 0) {
+            builder.addAllInt64Data(tensor.int64DataList)
+        }
+
+        if(tensor.uint64DataList != null && tensor.uint64DataCount > 0) {
+            builder.addAllInt64Data(tensor.uint64DataList)
+        }
+
+        if(tensor.rawData != null) {
+            builder.rawData = tensor.rawData
+        }
+
+        builder.dataType = tensor.dataType.ordinal
+
+        return builder.build()
+    }
+
+    override fun rawValue(): Onnx.TensorProto {
+        return tensor
+    }
+
+    override fun toNd4jNDArray(): INDArray {
+        return ndarrayFromNameSpaceTensor(toArgTensor())
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/opdefs/OnnxOpDescriptorLoader.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/opdefs/OnnxOpDescriptorLoader.kt
new file mode 100644
index 000000000..9a27836bb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/opdefs/OnnxOpDescriptorLoader.kt
@@ -0,0 +1,108 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.opdefs
+
+import onnx.Onnx
+import org.apache.commons.io.IOUtils
+import org.nd4j.common.io.ClassPathResource
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.onnx.process.OnnxMappingProcessLoader
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader
+import org.nd4j.samediff.frameworkimport.opdefs.nd4jFileNameTextDefault
+import org.nd4j.samediff.frameworkimport.opdefs.nd4jFileSpecifierProperty
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import org.nd4j.shade.protobuf.TextFormat
+import java.nio.charset.Charset
+
+class OnnxOpDescriptorLoader: OpDescriptorLoader {
+
+
+    val onnxFileNameTextDefault = "onnx-op-defs.pb"
+    val onnxFileSpecifierProperty = "samediff.import.onnxdescriptors"
+
+
+    val onnxMappingRulSetDefaultFile = "onnx-mapping-ruleset.pbtxt"
+    val onnxRulesetSpecifierProperty = "samediff.import.onnxmappingrules"
+    val nd4jOpDescriptors = nd4jOpList()
+    var mapperDefSet: MapperNamespace.MappingDefinitionSet? = mappingProcessDefinitionSet()
+    var cachedOpDefs:  Map?  = inputFrameworkOpDescriptorList()
+
+
+    override fun frameworkName(): String {
+        return "onnx"
+    }
+
+
+    override fun nd4jOpList(): OpNamespace.OpDescriptorList {
+        val fileName = System.getProperty(nd4jFileSpecifierProperty, nd4jFileNameTextDefault)
+        val nd4jOpDescriptorResourceStream = ClassPathResource(fileName).inputStream
+        val resourceString = IOUtils.toString(nd4jOpDescriptorResourceStream, Charset.defaultCharset())
+        val descriptorListBuilder = OpNamespace.OpDescriptorList.newBuilder()
+        TextFormat.merge(resourceString,descriptorListBuilder)
+        val ret = descriptorListBuilder.build()
+        val mutableList = ArrayList(ret.opListList)
+        mutableList.sortBy { it.name }
+
+        val newResultBuilder = OpNamespace.OpDescriptorList.newBuilder()
+        newResultBuilder.addAllOpList(mutableList)
+        return newResultBuilder.build()
+    }
+
+    override fun inputFrameworkOpDescriptorList(): Map {
+        if(cachedOpDefs != null)
+            return cachedOpDefs!!
+        val fileName = System.getProperty(onnxFileSpecifierProperty, onnxFileNameTextDefault)
+        val stream = ClassPathResource(fileName).inputStream
+        val ret = HashMap()
+        val graphProto = Onnx.GraphProto.parseFrom(stream)
+
+        graphProto.nodeList.forEach { opDef ->
+            ret[opDef.name] = opDef
+        }
+
+        cachedOpDefs =  ret
+        return ret
+    }
+
+    override fun mappingProcessDefinitionSet(): MapperNamespace.MappingDefinitionSet {
+        if(mapperDefSet != null)
+            return mapperDefSet!!
+        val fileName = System.getProperty(onnxRulesetSpecifierProperty, onnxMappingRulSetDefaultFile)
+        val string = IOUtils.toString(ClassPathResource(fileName).inputStream, Charset.defaultCharset())
+        val declarationBuilder = MapperNamespace.MappingDefinitionSet.newBuilder()
+        TextFormat.merge(string,declarationBuilder)
+        val ret =  declarationBuilder.build()
+        this.mapperDefSet = ret
+        return ret
+    }
+
+    override fun  createOpMappingRegistry(): OpMappingRegistry {
+        val onnxMappingRegistry =  OpMappingRegistry("onnx",nd4jOpDescriptors)
+        val loader = OnnxMappingProcessLoader(onnxMappingRegistry)
+        val mappingProcessDefs = mappingProcessDefinitionSet()
+        onnxMappingRegistry.loadFromDefinitions(mappingProcessDefs,loader)
+        return onnxMappingRegistry as OpMappingRegistry
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/process/OnnxMappingProcess.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/process/OnnxMappingProcess.kt
new file mode 100644
index 000000000..d5f381912
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/process/OnnxMappingProcess.kt
@@ -0,0 +1,68 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.process
+
+import onnx.Onnx
+
+import org.nd4j.samediff.frameworkimport.onnx.attributeValueTypeForOnnxAttribute
+import org.nd4j.samediff.frameworkimport.process.AbstractMappingProcess
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+
+open class OnnxMappingProcess(inputFramework: String = "onnx",
+                              frameworkVersion: String = "1.4",
+                              inputFrameworkOpName: String,
+                              opName: String,
+                              opMappingRegistry: OpMappingRegistry,
+                              tensorMappingRules: List> = emptyList(),
+                              inputIndexOverrides: Map = emptyMap(),
+                              attributeMappingRules: List> = emptyList())
+    : AbstractMappingProcess(
+    inputFramework,
+    frameworkVersion,
+    inputFrameworkOpName,
+    inputIndexOverrides,
+    opName,
+    opMappingRegistry,
+    tensorMappingRules,
+    attributeMappingRules) {
+    override fun inputOpDefValueTypes(): Map {
+        val opDef = opMappingRegistry.lookupInputFrameworkOpDef(inputFrameworkOpName)
+        val ret = HashMap()
+        opDef.attributeList.forEach { attributeProto ->
+              ret[attributeProto.name] = attributeValueTypeForOnnxAttribute(attributeProto)
+        }
+
+        return ret
+    }
+
+}
+
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/process/OnnxMappingProcessLoader.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/process/OnnxMappingProcessLoader.kt
new file mode 100644
index 000000000..f718b25c1
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/process/OnnxMappingProcessLoader.kt
@@ -0,0 +1,60 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.process
+
+import onnx.Onnx
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.samediff.frameworkimport.process.AbstractMappingProcessLoader
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+
+class OnnxMappingProcessLoader(opMappingRegistry:
+                               OpMappingRegistry): AbstractMappingProcessLoader(opMappingRegistry) {
+
+
+    override fun frameworkName(): String {
+       return "onnx"
+    }
+
+    override fun instantiateMappingProcess(
+        inputFrameworkOpName: String,
+        opName: String,
+        attributeMappingRules: List>,
+        tensorMappingRules: List>,
+        opMappingRegistry: OpMappingRegistry,
+        indexOverrides: Map
+    ): MappingProcess {
+       return OnnxMappingProcess(
+           inputFrameworkOpName = inputFrameworkOpName,
+           opName =  opName,
+           attributeMappingRules = attributeMappingRules,
+           tensorMappingRules = tensorMappingRules,
+           opMappingRegistry = opMappingRegistry,
+           inputIndexOverrides = indexOverrides
+       )
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxArgDescriptorConstant.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxArgDescriptorConstant.kt
new file mode 100644
index 000000000..5f4bd6b70
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxArgDescriptorConstant.kt
@@ -0,0 +1,83 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.ArgDescriptorConstant
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.tensorflow.framework.OpDef
+
+@MappingRule("onnx","argdescriptorconstant","attribute")
+class OnnxArgDescriptorConstant(mappingNamesToPerform: Map, transformerArgs: Map>) : ArgDescriptorConstant(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeNDArrayToScalarAttribute.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeNDArrayToScalarAttribute.kt
new file mode 100644
index 000000000..47924cbc6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeNDArrayToScalarAttribute.kt
@@ -0,0 +1,83 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeNDArrayToScalarAttribute
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+
+@MappingRule("onnx","attributendarraytoscalarattribute","attribute")
+class OnnxAttributeNDArrayToScalarAttribute(mappingNamesToPerform: Map, transformerArgs: Map>) : AttributeNDArrayToScalarAttribute(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeNumberListNDArray.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeNumberListNDArray.kt
new file mode 100644
index 000000000..bb76e4f60
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeNumberListNDArray.kt
@@ -0,0 +1,86 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeNumberListNDArray
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+
+@MappingRule("onnx","convertinputnumberlisttondarray","attribute")
+class OnnxAttributeNumberListNDArray(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    AttributeNumberListNDArray(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeScalarNDArrayAttribute.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeScalarNDArrayAttribute.kt
new file mode 100644
index 000000000..7b2d952ad
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxAttributeScalarNDArrayAttribute.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeScalarNDArrayAttribute
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+
+@MappingRule("onnx","attributescalarndarrayattribute","attribute")
+class OnnxAttributeScalarNDArrayAttribute(mappingNamesToPerform: Map, transformerArgs: Map>) : AttributeScalarNDArrayAttribute(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxConditionalFieldValueIntIndexArrayRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxConditionalFieldValueIntIndexArrayRule.kt
new file mode 100644
index 000000000..022f09ac2
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxConditionalFieldValueIntIndexArrayRule.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ConditionalFieldValueIntIndexArrayRule
+
+@MappingRule("onnx","conditionalfieldvalueintindex","attribute")
+class OnnxConditionalFieldValueIntIndexArrayRule
+    (mappingNamesToPerform: MutableMap, transformerArgs: Map>) :
+    ConditionalFieldValueIntIndexArrayRule
+        (mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxConditionalFieldValueIntIndexNDArrayRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxConditionalFieldValueIntIndexNDArrayRule.kt
new file mode 100644
index 000000000..b257bc851
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxConditionalFieldValueIntIndexNDArrayRule.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ConditionalFieldValueIntIndexNDArrayRule
+
+@MappingRule("onnx","conditionalfieldvalueintindexndarray","attribute")
+class OnnxConditionalFieldValueIntIndexNDArrayRule
+    (mappingNamesToPerform: MutableMap, transformerArgs: Map>) :
+    ConditionalFieldValueIntIndexNDArrayRule
+        (mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxDataTypeToInt.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxDataTypeToInt.kt
new file mode 100644
index 000000000..6d2dcf01e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxDataTypeToInt.kt
@@ -0,0 +1,79 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.DataTypeToInt
+
+@MappingRule("onnx","datatypetoint","attribute")
+class OnnxDataTypeToInt(mappingNamesToPerform: Map, transformerArgs: Map>) : DataTypeToInt(mappingNamesToPerform, transformerArgs) {
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxFlattenDims.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxFlattenDims.kt
new file mode 100644
index 000000000..2bf574e7e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxFlattenDims.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.ArgDescriptorConstant
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.FlattenDims
+import org.tensorflow.framework.OpDef
+
+@MappingRule("onnx","flattendims","attribute")
+class OnnxFlattenDims(mappingNamesToPerform: Map, transformerArgs: Map>) : FlattenDims(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxInvertBooleanNumber.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxInvertBooleanNumber.kt
new file mode 100644
index 000000000..903582523
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxInvertBooleanNumber.kt
@@ -0,0 +1,83 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.InvertBooleanNumber
+
+@MappingRule("onnx","invertbooleannumber","attribute")
+class OnnxInvertBooleanNumber(mappingNamesToPerform: Map, transformerArgs: Map>) : InvertBooleanNumber(mappingNamesToPerform, transformerArgs) {
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListAttributeValueLookupToIndex.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListAttributeValueLookupToIndex.kt
new file mode 100644
index 000000000..88b997783
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListAttributeValueLookupToIndex.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ListAttributeValueLookupToIndex
+
+@MappingRule("onnx","listattributevaluelookuptoindex","attribute")
+class OnnxListAttributeValueLookupToIndex(mappingNamesToPerform: Map, transformerArgs: Map>) : ListAttributeValueLookupToIndex(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListNumberToListNumber.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListNumberToListNumber.kt
new file mode 100644
index 000000000..5662073d6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListNumberToListNumber.kt
@@ -0,0 +1,86 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ListNumberToListNumber
+
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+
+@MappingRule("onnx","listnumbertolistnumber","attribute")
+class OnnxListNumberToListNumber(mappingNamesToPerform: Map, transformerArgs: Map>) : ListNumberToListNumber(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListNumberToNDArray.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListNumberToNDArray.kt
new file mode 100644
index 000000000..0ea9b41b8
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxListNumberToNDArray.kt
@@ -0,0 +1,79 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ListNumberToNDArray
+
+@MappingRule("onnx","listnumbertondarray","attribute")
+class OnnxListNumberToNDArray(mappingNamesToPerform: Map, transformerArgs: Map>) : ListNumberToNDArray(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxMapStringToInt.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxMapStringToInt.kt
new file mode 100644
index 000000000..ebea43a4f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxMapStringToInt.kt
@@ -0,0 +1,80 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.MapStringToInt
+
+@MappingRule("onnx","mapstringtoindex","attribute")
+class OnnxMapStringToInt(mappingNamesToPerform: Map, transformerArgs: Map>) : MapStringToInt(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayAttributeToNDArrayInput.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayAttributeToNDArrayInput.kt
new file mode 100644
index 000000000..ce6c0d706
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayAttributeToNDArrayInput.kt
@@ -0,0 +1,78 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayAttributeToNDArrayInput
+
+@MappingRule("onnx","ndarrayinputtondarray","attribute")
+class OnnxNDArrayAttributeToNDArrayInput(mappingNamesToPerform: Map, transformerArgs: Map>) : NDArrayAttributeToNDArrayInput(mappingNamesToPerform, transformerArgs) {
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayExtractScalarValue.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayExtractScalarValue.kt
new file mode 100644
index 000000000..ed4efcbe9
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayExtractScalarValue.kt
@@ -0,0 +1,85 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayExtractScalarValue
+
+@MappingRule("onnx","ndarrayextractscalarvalue","attribute")
+class OnnxNDArrayExtractScalarValue(mappingNamesToPerform: MutableMap,
+                                    transformerArgs: Map> = emptyMap()):
+    NDArrayExtractScalarValue(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayInputToNumericalAttribute.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayInputToNumericalAttribute.kt
new file mode 100644
index 000000000..49b604da2
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayInputToNumericalAttribute.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+
+
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayInputToNumericalAttribute
+
+@MappingRule("onnx","ndarrayinputtonumericalattribute","attribute")
+class OnnxNDArrayInputToNumericalAttribute(mappingNamesToPerform: Map, transformerArgs: Map>) : NDArrayInputToNumericalAttribute(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArraySizeAt.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArraySizeAt.kt
new file mode 100644
index 000000000..f9b65827c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArraySizeAt.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArraySizeAtRule
+
+@MappingRule("onnx","ndarraysizeat","attribute")
+class OnnxNDArraySizeAt(mappingNamesToPerform: Map, transformerArgs: Map>): NDArraySizeAtRule(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto):
+            IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayToIntAttributeValue.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayToIntAttributeValue.kt
new file mode 100644
index 000000000..ffaa92cc2
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxNDArrayToIntAttributeValue.kt
@@ -0,0 +1,79 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayToIntAttributeValue
+
+@MappingRule("onnx","ndarraytointattributevalue","attribute")
+class OnnxNDArrayToIntAttributeValue(mappingNamesToPerform: Map) : NDArrayToIntAttributeValue(mappingNamesToPerform = mappingNamesToPerform,transformerArgs = emptyMap()) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxSizeThresholdIntArrayIntIndexRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxSizeThresholdIntArrayIntIndexRule.kt
new file mode 100644
index 000000000..99eb3782c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxSizeThresholdIntArrayIntIndexRule.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.SizeThresholdIntArrayIntIndexRule
+
+@MappingRule("onnx","sizethresholdarrayint","attribute")
+class OnnxSizeThresholdIntArrayIntIndexRule(mappingNamesToPerform: Map,
+                                            transformerArgs: Map>) : SizeThresholdIntArrayIntIndexRule(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringAttributeToNDArray.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringAttributeToNDArray.kt
new file mode 100644
index 000000000..d482010af
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringAttributeToNDArray.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringAttributeToNDArray
+
+@MappingRule("onnx","convertinputstringtondarray","attribute")
+class OnnxStringAttributeToNDArray(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    StringAttributeToNDArray(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringContainsAdapterRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringContainsAdapterRule.kt
new file mode 100644
index 000000000..9d42af0fd
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringContainsAdapterRule.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringContainsAdapterRule
+
+@MappingRule("onnx","stringcontains","attribute")
+class OnnxStringContainsAdapterRule(mappingNamesToPerform: Map = emptyMap(),
+                                    transformerArgs: Map> = emptyMap()) :
+    StringContainsAdapterRule
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringEqualsAdapterRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringEqualsAdapterRule.kt
new file mode 100644
index 000000000..51208652f
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringEqualsAdapterRule.kt
@@ -0,0 +1,87 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringEqualsAdapterRule
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+
+@MappingRule("onnx","stringequals","attribute")
+class OnnxStringEqualsAdapterRule(mappingNamesToPerform: Map = emptyMap(),
+                                  transformerArgs: Map> = emptyMap()) :
+    StringEqualsAdapterRule
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List):
+            List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringNotEqualsAdapterRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringNotEqualsAdapterRule.kt
new file mode 100644
index 000000000..62e6f3deb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringNotEqualsAdapterRule.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringNotEqualsAdapterRule
+
+@MappingRule("onnx","stringnotequalsadapterrule","attribute")
+class OnnxStringNotEqualsAdapterRule(mappingNamesToPerform: Map = emptyMap(),
+                                     transformerArgs: Map> = emptyMap()) :
+    StringNotEqualsAdapterRule
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List):
+            List> {
+        TODO("Not yet implemented")
+    }
+
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringToIndex.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringToIndex.kt
new file mode 100644
index 000000000..2110b399a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxStringToIndex.kt
@@ -0,0 +1,80 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.*
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringToInt
+
+@MappingRule("onnx","stringtoindex","attribute")
+class OnnxStringToIndex(mappingNamesToPerform: Map, transformerArgs: Map>) : StringToInt(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxValueMapping.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxValueMapping.kt
new file mode 100644
index 000000000..d6b1711c5
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/attribute/OnnxValueMapping.kt
@@ -0,0 +1,83 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.attribute
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
+import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
+import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ValueMapping
+
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+
+@MappingRule("onnx","valuemapping","attribute")
+class OnnxValueMapping(mappingNamesToPerform: Map, transformerArgs: Map>) : ValueMapping(mappingNamesToPerform, transformerArgs) {
+    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute {
+        return OnnxIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxTensorName(name, onnxOp)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isOnnxAttributeName(name, onnxOp)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+      val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess.inputFrameworkOpName()]!!
+
+        return onnxAttributeTypeFor(name, onnxOp)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/NDArrayMappingRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/NDArrayMappingRule.kt
new file mode 100644
index 000000000..422d28892
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/NDArrayMappingRule.kt
@@ -0,0 +1,53 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.tensor
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRTensor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.BaseNDArrayMappingRule
+
+@MappingRule("onnx","ndarraymapping","tensor")
+class NDArrayMappingRule(mappingNamesToPerform: MutableMap,
+                         transformerArgs: Map> = emptyMap()):
+    BaseNDArrayMappingRule(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+
+    override fun createTensorProto(input: Onnx.TensorProto): TensorNamespace.TensorProto {
+        return OnnxIRTensor(input).toArgTensor()
+    }
+
+    override fun isInputTensorName(inputName: String): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess!!.inputFrameworkOpName()]!!
+        return onnxOp.inputList.contains(inputName)
+    }
+
+    override fun isOutputTensorName(outputName: String): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
+        return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+            .map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/OnnxMultiInputIndexMappingRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/OnnxMultiInputIndexMappingRule.kt
new file mode 100644
index 000000000..f848c9f66
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/OnnxMultiInputIndexMappingRule.kt
@@ -0,0 +1,53 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.tensor
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRTensor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.MultiInputIndexMappingRule
+
+@MappingRule("onnx","multiinputindex","tensor")
+class OnnxMultiInputIndexMappingRule(mappingNamesToPerform: MutableMap,
+                                     transformerArgs: Map> = emptyMap()):
+    MultiInputIndexMappingRule(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+
+    override fun createTensorProto(input: Onnx.TensorProto): TensorNamespace.TensorProto {
+        return OnnxIRTensor(input).toArgTensor()
+    }
+
+    override fun isInputTensorName(inputName: String): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess!!.inputFrameworkOpName()]!!
+        return onnxOp.inputList.contains(inputName)
+    }
+
+    override fun isOutputTensorName(outputName: String): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
+        return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+            .map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/OnnxPassThroughMultiInputTensorMapping.kt b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/OnnxPassThroughMultiInputTensorMapping.kt
new file mode 100644
index 000000000..068313ee5
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/rule/tensor/OnnxPassThroughMultiInputTensorMapping.kt
@@ -0,0 +1,54 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.rule.tensor
+
+import onnx.Onnx
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRTensor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.MultiInputIndexMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.PassThroughMultiTensorMapping
+
+@MappingRule("onnx","passthrough","tensor")
+class OnnxPassThroughMultiInputTensorMapping(mappingNamesToPerform: MutableMap = mutableMapOf(),
+                                             transformerArgs: Map> = emptyMap()):
+    PassThroughMultiTensorMapping(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+
+    override fun createTensorProto(input: Onnx.TensorProto): TensorNamespace.TensorProto {
+        return OnnxIRTensor(input).toArgTensor()
+    }
+
+    override fun isInputTensorName(inputName: String): Boolean {
+        val onnxOp = OpDescriptorLoaderHolder.listForFramework("onnx")[mappingProcess!!.inputFrameworkOpName()]!!
+        return onnxOp.inputList.contains(inputName)
+    }
+
+    override fun isOutputTensorName(outputName: String): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
+        return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+            .map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.ImportGraphHolder b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.ImportGraphHolder
new file mode 100644
index 000000000..11463f910
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.ImportGraphHolder
@@ -0,0 +1,217 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+org.nd4j.samediff.frameworkimport.onnx.OnnxImportGraph
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader
new file mode 100644
index 000000000..45eb504a8
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader
@@ -0,0 +1,217 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+org.nd4j.samediff.frameworkimport.onnx.opdefs.OnnxOpDescriptorLoader
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-mapping-ruleset.pbtxt b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-mapping-ruleset.pbtxt
new file mode 100644
index 000000000..16ceb8b91
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-mapping-ruleset.pbtxt
@@ -0,0 +1,6749 @@
+mappings {
+  frameworkName: "onnx"
+  opName: "add"
+  inputFrameworkOpName: "Add"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    inputToOutput {
+      key: "y"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Add"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Add"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "tan"
+  inputFrameworkOpName: "Tan"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Tan"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Tan"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "or"
+  inputFrameworkOpName: "Or"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Or"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Or"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputFloatName: "comparable"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "comparable"
+        argType: DOUBLE
+      }
+    }
+    inputFrameworkOpName: "Or"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "reduce_max"
+  inputFrameworkOpName: "ReduceMax"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "data"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "data"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "ReduceMax"
+  }
+  rule {
+    ruleName: "invertbooleannumber"
+    functionName: "invertbooleannumber"
+    inputIntName: "keepdims"
+    outputBooleanName: "keepDims"
+    inputToOutput {
+      key: "keepDims"
+      value: "keepdims"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ReduceMax"
+  }
+  rule {
+    ruleName: "listnumbertolistnumber"
+    functionName: "listnumbertolistnumber"
+    inputToOutput {
+      key: "dimensions"
+      value: "axes"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ReduceMax"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "maxpool2d"
+  inputFrameworkOpName: "MaxPool"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isNCHW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isNCHW"
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "extraParam0"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "extraParam0"
+        argType: INT64
+        argIndex: 9
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isSameMode"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isSameMode"
+        argType: INT64
+        argIndex: 8
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dH"
+    outputIntName: "dH"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dH"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dW"
+    outputIntName: "dW"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dW"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "pads"
+    outputIntName: "pH"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pH"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pH"
+      transformerArgs {
+        name: "pads"
+        argIndex: 4
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    transformerArgs {
+      key: "pH"
+      transformerArgs {
+        name: "pads"
+        argIndex: 4
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "pads"
+    outputIntName: "pW"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pW"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+      transformerArgs {
+        name: "pads"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "sH"
+    outputIntName: "sH"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sH"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "sH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "sH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "sW"
+    outputIntName: "sW"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sW"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "sW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "sW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kH"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kH"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kH"
+      transformerArgs {
+        name: "kernel_shape"
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kW"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kW"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kW"
+      transformerArgs {
+        name: "kernel_shape"
+        int64Value: 1
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "size"
+  inputFrameworkOpName: "Size"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "data"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "data"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Size"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "lrn"
+  inputFrameworkOpName: "LRN"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "LRN"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputIntName: "size"
+    outputIntName: "depth"
+    inputFloatName: "alpha"
+    inputFloatName: "beta"
+    inputFloatName: "bias"
+    outputDoubleName: "alpha"
+    outputDoubleName: "beta"
+    outputDoubleName: "bias"
+    inputToOutput {
+      key: "alpha"
+      value: "alpha"
+    }
+    inputToOutput {
+      key: "beta"
+      value: "beta"
+    }
+    inputToOutput {
+      key: "bias"
+      value: "bias"
+    }
+    inputToOutput {
+      key: "depth"
+      value: "size"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "LRN"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "LRN"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "isinf"
+  inputFrameworkOpName: "IsInf"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "IsInf"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "IsInf"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "batchnorm"
+  inputFrameworkOpName: "BatchNormalization"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    inputTensorName: "mean"
+    inputTensorName: "var"
+    inputTensorName: "scale"
+    outputTensorName: "input"
+    outputTensorName: "mean"
+    outputTensorName: "variance"
+    outputTensorName: "gamma"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    inputToOutput {
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+    functionName: "ndarrayinputtonumericalattribute"
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+      value: "start"
+    }
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+    inputFrameworkOpName: "Range"
+  }
+  rule {
+    ruleName: "ndarrayinputtonumericalattribute"
+    functionName: "ndarrayinputtonumericalattribute"
+    inputToOutput {
+      key: "to"
+      value: "limit"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "Range"
+  }
+  rule {
+    ruleName: "ndarrayinputtonumericalattribute"
+    functionName: "ndarrayinputtonumericalattribute"
+    inputToOutput {
+      key: "step"
+      value: "delta"
+    }
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+  }
+}
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+  inputFrameworkOpName: "Transpose"
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+    functionName: "ndarraymapping"
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+      value: "data"
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+  rule {
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+    functionName: "listnumbertondarray"
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+      value: "perm"
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+}
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+    functionName: "valuemapping"
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+}
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+      value: "data"
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+    functionName: "invertbooleannumber"
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+      value: "keepdims"
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+}
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+}
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+      value: "data"
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+    functionName: "invertbooleannumber"
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+    functionName: "listnumbertolistnumber"
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+}
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+  rule {
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+    functionName: "ndarraytointattributevalue"
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+}
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+  inputFrameworkOpName: "RandomUniform"
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+    functionName: "listnumbertondarray"
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "LessOrEqual"
+  }
+}
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+  frameworkName: "onnx"
+  opName: "cosh"
+  inputFrameworkOpName: "Cosh"
+  rule {
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+    functionName: "ndarraymapping"
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+    outputTensorName: "input"
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+      value: "input"
+    }
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Cosh"
+  }
+}
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+  frameworkName: "onnx"
+  opName: "non_max_suppression_v3"
+  inputFrameworkOpName: "NonMaxSuppression"
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+    functionName: "ndarraymapping"
+    inputTensorName: "boxes"
+    inputTensorName: "scores"
+    inputTensorName: "max_output_boxes_per_class"
+    inputTensorName: "iou_threshold"
+    inputTensorName: "score_threshold"
+    outputTensorName: "boxes"
+    outputTensorName: "scales"
+    outputTensorName: "maxOutSize"
+    outputTensorName: "iouThreshold"
+    outputTensorName: "scoreThreshold"
+    inputToOutput {
+      key: "boxes"
+      value: "boxes"
+    }
+    inputToOutput {
+      key: "scales"
+      value: "scores"
+    }
+    inputToOutput {
+      key: "maxOutSize"
+      value: "max_output_boxes_per_class"
+    }
+    inputToOutput {
+      key: "iouThreshold"
+      value: "iou_threshold"
+    }
+    inputToOutput {
+      key: "scoreThreshold"
+      value: "score_threshold"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "NonMaxSuppression"
+  }
+  rule {
+    ruleName: "ndarraytointattributevalue"
+    functionName: "ndarraytointattributevalue"
+    outputIntName: "maxOutputSize"
+    inputToOutput {
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+      value: "max_output_boxes_per_class"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "NonMaxSuppression"
+  }
+}
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+  opName: "log_softmax"
+  inputFrameworkOpName: "LogSoftmax"
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+    functionName: "ndarraymapping"
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+      value: "input"
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+    ruleType: "tensor"
+    inputFrameworkOpName: "LogSoftmax"
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+  rule {
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+    functionName: "valuemapping"
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+    outputIntName: "dimension"
+    inputToOutput {
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+      value: "axis"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "LogSoftmax"
+  }
+}
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+  opName: "shape_of"
+  inputFrameworkOpName: "Shape"
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+    functionName: "ndarraymapping"
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+      value: "data"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
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+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
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+    inputFrameworkOpName: "Shape"
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+}
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+  opName: "random_normal"
+  inputFrameworkOpName: "RandomNormal"
+  rule {
+    ruleName: "listnumbertondarray"
+    functionName: "listnumbertondarray"
+    inputToOutput {
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+      value: "shape"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "RandomNormal"
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+}
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+  opName: "hard_sigmoid"
+  inputFrameworkOpName: "HardSigmoid"
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+    functionName: "ndarraymapping"
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+      value: "X"
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+    ruleType: "tensor"
+    inputFrameworkOpName: "HardSigmoid"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "HardSigmoid"
+  }
+}
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+  frameworkName: "onnx"
+  opName: "noop"
+  inputFrameworkOpName: "Constant"
+}
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+  frameworkName: "onnx"
+  opName: "cumsum"
+  inputFrameworkOpName: "CumSum"
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+    functionName: "ndarraymapping"
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+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "CumSum"
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+  rule {
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+    functionName: "valuemapping"
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+    inputIntName: "reverse"
+    outputBooleanName: "exclusive"
+    outputBooleanName: "reverse"
+    inputToOutput {
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+      value: "exclusive"
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+    inputToOutput {
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+      value: "reverse"
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+    ruleType: "attribute"
+    inputFrameworkOpName: "CumSum"
+  }
+  rule {
+    ruleName: "ndarraytointattributevalue"
+    functionName: "ndarraytointattributevalue"
+    inputToOutput {
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+      value: "axis"
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+    ruleType: "attribute"
+    inputFrameworkOpName: "CumSum"
+  }
+}
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+  opName: "scatter_update"
+  inputFrameworkOpName: "ScatterElements"
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+    functionName: "ndarraymapping"
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+    inputTensorName: "updates"
+    outputTensorName: "operand"
+    outputTensorName: "updates"
+    inputToOutput {
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+      value: "data"
+    }
+    inputToOutput {
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+      value: "updates"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "ScatterElements"
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+  rule {
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+    functionName: "valuemapping"
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+      value: "axis"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ScatterElements"
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+  rule {
+    ruleName: "ndarraytointattributevalue"
+    functionName: "ndarraytointattributevalue"
+    outputIntName: "indices"
+    inputToOutput {
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+      value: "indices"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ScatterElements"
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+}
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+  opName: "gruCell"
+  inputFrameworkOpName: "GRU"
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+    functionName: "ndarraymapping"
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+    inputTensorName: "W"
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+    inputTensorName: "initial_h"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "Wru"
+    outputTensorName: "Wc"
+    outputTensorName: "bc"
+    outputTensorName: "hLast"
+    outputTensorName: "bru"
+    inputToOutput {
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+      value: "X"
+    }
+    inputToOutput {
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+      value: "R"
+    }
+    inputToOutput {
+      key: "Wc"
+      value: "W"
+    }
+    inputToOutput {
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+      value: "B"
+    }
+    inputToOutput {
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+      value: "initial_h"
+    }
+    inputToOutput {
+      key: "bru"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "GRU"
+  }
+}
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+  opName: "reduce_norm1"
+  inputFrameworkOpName: "ReduceL1"
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+    functionName: "ndarraymapping"
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+      value: "data"
+    }
+    ruleType: "tensor"
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+  rule {
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+    functionName: "invertbooleannumber"
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+    outputBooleanName: "keepDims"
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+      value: "keepdims"
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+  rule {
+    ruleName: "listnumbertolistnumber"
+    functionName: "listnumbertolistnumber"
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+      value: "axes"
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+}
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+  opName: "abs"
+  inputFrameworkOpName: "Abs"
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+    functionName: "ndarraymapping"
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+      value: "X"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
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+  }
+}
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+  opName: "fill"
+  inputFrameworkOpName: "ConstantOfShape"
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+      value: "value"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "outputDataType"
+    ruleType: "attribute"
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+      transformerArgs {
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+        argType: INT64
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+    }
+    inputFrameworkOpName: "ConstantOfShape"
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+}
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+  inputFrameworkOpName: "ReduceL2"
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+    functionName: "ndarraymapping"
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+      value: "data"
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+    functionName: "invertbooleannumber"
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+    outputBooleanName: "keepDims"
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+      value: "keepdims"
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+  rule {
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+    functionName: "listnumbertolistnumber"
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+      value: "axes"
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+    inputFrameworkOpName: "ReduceL2"
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+}
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+  opName: "round"
+  inputFrameworkOpName: "Round"
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+      value: "X"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Round"
+  }
+}
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+  opName: "selu"
+  inputFrameworkOpName: "Selu"
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+      value: "X"
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+  rule {
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+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
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+      transformerArgs {
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Selu"
+  }
+}
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+  opName: "argmin"
+  inputFrameworkOpName: "ArgMin"
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+    functionName: "ndarraymapping"
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+      value: "data"
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+  rule {
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+    functionName: "invertbooleannumber"
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+    functionName: "valuemapping"
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+}
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+      value: "X"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Sigmoid"
+  }
+}
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+  opName: "avgpool2d"
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+      value: "X"
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+    functionName: "argdescriptorconstant"
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+      transformerArgs {
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+        argIndex: 10
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+  rule {
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+      }
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+    functionName: "stringcontains"
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+    outputIntName: "isSameMode"
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+    inputToOutput {
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+      value: "auto_pad"
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+    ruleType: "attribute"
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+      transformerArgs {
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+        argIndex: 8
+        stringValue: "SAME"
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+    functionName: "listattributevaluelookuptoindex"
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+    inputFloatName: "pads"
+    inputToOutput {
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+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argIndex: 4
+      }
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+  rule {
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "pads"
+    }
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+        argIndex: 5
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+    functionName: "listattributevaluelookuptoindex"
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+        argIndex: 2
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+    functionName: "listattributevaluelookuptoindex"
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+        argIndex: 3
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+    functionName: "listattributevaluelookuptoindex"
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+        argIndex: 1
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "kernel_shape"
+    }
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+    }
+    inputFrameworkOpName: "AveragePool"
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+}
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+  rule {
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+    functionName: "ndarrayinputtonumericalattribute"
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+      value: "ratio"
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+    inputFrameworkOpName: "Dropout"
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+}
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Neg"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "matrix_determinant"
+  inputFrameworkOpName: "Det"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Det"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Det"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "pad"
+  inputFrameworkOpName: "Pad"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "data"
+    inputTensorName: "pads"
+    outputTensorName: "input"
+    outputTensorName: "paddings"
+    inputToOutput {
+      key: "input"
+      value: "data"
+    }
+    inputToOutput {
+      key: "paddings"
+      value: "pads"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Pad"
+  }
+  rule {
+    ruleName: "stringtoindex"
+    functionName: "stringtoindex"
+    inputStringAttrName: "mode"
+    outputIntName: "mode"
+    inputFloatName: "mode"
+    inputFloatName: "mode"
+    inputFloatName: "mode"
+    inputToOutput {
+      key: "mode"
+      value: "mode"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "mode"
+      transformerArgs {
+        name: "mode"
+        stringValue: "constant"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "reflect"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "edge"
+      }
+    }
+    transformerArgs {
+      key: "mode"
+      transformerArgs {
+        name: "mode"
+        stringValue: "constant"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "reflect"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "edge"
+      }
+    }
+    transformerArgs {
+      key: "mode"
+      transformerArgs {
+        name: "mode"
+        stringValue: "constant"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "reflect"
+      }
+      transformerArgs {
+        name: "mode"
+        stringValue: "edge"
+      }
+    }
+    inputFrameworkOpName: "Pad"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputFloatName: "padValue"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "padValue"
+        argType: DOUBLE
+      }
+    }
+    inputFrameworkOpName: "Pad"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "conv2d"
+  inputFrameworkOpName: "Conv"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "X"
+    inputTensorName: "W"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "weights"
+    outputTensorName: "bias"
+    inputToOutput {
+      key: "input"
+      value: "X"
+    }
+    inputToOutput {
+      key: "weights"
+      value: "W"
+    }
+    inputToOutput {
+      key: "bias"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "isNCHW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isNCHW"
+        argType: INT64
+        argIndex: 9
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "wFormat"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "wFormat"
+        int64Value: 1
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "stringequals"
+    functionName: "stringequals"
+    inputStringAttrName: "auto_pad"
+    outputIntName: "isSameMode"
+    inputFloatName: "auto_pad"
+    inputToOutput {
+      key: "isSameMode"
+      value: "auto_pad"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isSameMode"
+      transformerArgs {
+        name: "auto_pad"
+        argIndex: 8
+        stringValue: "SAME"
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dH"
+    outputIntName: "dH"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dH"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "dilations"
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "dW"
+    outputIntName: "dW"
+    inputFloatName: "dilations"
+    inputToOutput {
+      key: "dW"
+      value: "dilations"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "dilations"
+        int64Value: 1
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "pH"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pH"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pH"
+      transformerArgs {
+        name: "pads"
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "pW"
+    inputFloatName: "pads"
+    inputToOutput {
+      key: "pW"
+      value: "pads"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "pW"
+      transformerArgs {
+        name: "pads"
+        int64Value: 1
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "strides"
+    outputIntName: "sH"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sH"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 2
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "strides"
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 2
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "strides"
+    outputIntName: "sW"
+    inputFloatName: "strides"
+    inputToOutput {
+      key: "sW"
+      value: "strides"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 3
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "strides"
+        int64Value: 1
+        argType: INT64
+        argIndex: 3
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kW"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kW"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kW"
+      transformerArgs {
+        name: "kernel_shape"
+        int64Value: 1
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+  rule {
+    ruleName: "listattributevaluelookuptoindex"
+    functionName: "listattributevaluelookuptoindex"
+    outputIntName: "kH"
+    inputFloatName: "kernel_shape"
+    inputToOutput {
+      key: "kH"
+      value: "kernel_shape"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "kH"
+      transformerArgs {
+        name: "kernel_shape"
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "Conv"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "greater"
+  inputFrameworkOpName: "Greater"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "A"
+    inputTensorName: "B"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "A"
+    }
+    inputToOutput {
+      key: "y"
+      value: "B"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Greater"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Greater"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "sign"
+  inputFrameworkOpName: "Sign"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Sign"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Sign"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "softsign"
+  inputFrameworkOpName: "Softsign"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Softsign"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Softsign"
+  }
+}
+mappings {
+  frameworkName: "onnx"
+  opName: "exp"
+  inputFrameworkOpName: "Exp"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Exp"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Exp"
+  }
+}
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-op-def.pbtxt b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-op-def.pbtxt
new file mode 100644
index 000000000..e6c232be4
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-op-def.pbtxt
@@ -0,0 +1,6004 @@
+input: "X"
+output: "Y"
+name: "Abs"
+op_type: "Abs"
+attribute {
+  name: "X-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nAbsolute takes one input data (Tensor) and produces one output data\n(Tensor) where the absolute is, y = abs(x), is applied to\nthe tensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Acos"
+op_type: "Acos"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the arccosine (inverse of cosine) of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Acosh"
+op_type: "Acosh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic arccosine of the given input tensor element-wise.\n"
+--
+input: "R"
+input: "T"
+input: "inputs"
+output: "outputs"
+name: "Adagrad"
+op_type: "Adagrad"
+attribute {
+  name: "decay_factor"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "epsilon"
+  f: 1e-06
+  type: FLOAT
+}
+attribute {
+  name: "norm_coefficient"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "T-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "inputs-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Compute one iteration of ADAGRAD, a stochastic gradient based optimization\n    algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n    Let\'s define the behavior of this operator. As you can imagine, ADAGRAD requires\n    some parameters:\n     \n     - The initial learning-rate \"R\".\n     - The update count \"T\". That is, the number of training iterations conducted.\n     - A L2-norm regularization coefficient \"norm_coefficient\".\n     - A learning-rate decay factor \"decay_factor\".\n     - A small constant \"epsilon\" to avoid dividing-by-zero. \n\n    At each ADAGRAD iteration, the optimized tensors are moved along a direction\n    computed based on their estimated gradient and accumulated squared gradient. Assume\n    that only a single tensor \"X\" is updated by this operator. We need the value of \"X\",\n    its gradient \"G\", and its accumulated squared gradient \"H\". Therefore, variables in\n    this operator\'s input list are sequentially \"R\", \"T\", \"X\", \"G\", and \"H\". Other\n    parameters are given as attributes because they are usually constants. Also, the\n    corresponding output tensors are the new value of \"X\" (called \"X_new\"), and then\n    the new accumulated squared gradient (called \"H_new\"). Those outputs are computed\n    from the given inputs following the pseudo code below.\n\n    Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n    numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n      // Compute a scalar learning-rate factor. At the first update of X, T is generally\n      // 0 (0-based update index) or 1 (1-based update index).\n      r = R / (1 + T * decay_factor);\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n      G_regularized = norm_coefficient * X + G;\n\n      // Compute new accumulated squared gradient.\n      H_new = H + G_regularized * G_regularized;\n\n      // Compute the adaptive part of per-coordinate learning rate. Note that Sqrt(...)\n      // computes element-wise square-root.\n      H_adaptive = Sqrt(H_new) + epsilon\n\n      // Compute the new value of \"X\".\n      X_new = X - r * G_regularized / H_adaptive;\n\n    If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\", the same\n    pseudo code may be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n    concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n    be concatenated too) and then just reuse the entire pseudo code.\n\n    Note that ADAGRAD was first proposed in http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf.\n    In that reference paper, this operator is a special case of the Figure 1\'s composite mirror\n    descent update.\n"
+--
+input: "R"
+input: "T"
+input: "inputs"
+output: "outputs"
+name: "Adam"
+op_type: "Adam"
+attribute {
+  name: "alpha"
+  f: 0.9
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 0.999
+  type: FLOAT
+}
+attribute {
+  name: "epsilon"
+  f: 1e-06
+  type: FLOAT
+}
+attribute {
+  name: "norm_coefficient"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "norm_coefficient_post"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "T-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "inputs-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Compute one iteration of Adam, a stochastic gradient based optimization\n    algorithm. This operator can conduct the optimization of multiple tensor variables.\n\n    Let\'s define the behavior of this operator. First of all, Adam requires\n    some parameters:\n     \n     - The learning-rate \"R\".\n     - The update count \"T\". That is, the number of training iterations conducted.\n     - A L2-norm regularization coefficient \"norm_coefficient\".\n     - A small constant \"epsilon\" to avoid dividing-by-zero. \n     - Two coefficients, \"alpha\" and \"beta\".\n\n    At each Adam iteration, the optimized tensors are moved along a direction\n    computed based on their exponentially-averaged historical gradient and\n    exponentially-averaged historical squared gradient. Assume that only a tensor\n    \"X\" is being optimized. The rest of required information is\n    \n     - the value of \"X\",\n     - \"X\"\'s gradient (denoted by \"G\"),\n     - \"X\"\'s exponentially-averaged historical gradient (denoted by \"V\"), and\n     - \"X\"\'s exponentially-averaged historical squared gradient (denoted by \"H\").\n\n    Some of those parameters are passed into this operator as input tensors and others\n    are stored as this operator\'s attributes. Specifically, this operator\'s input tensor\n    list is [\"R\", \"T\", \"X\", \"G\", \"V\", \"H\"]. That is, \"R\" is the first input, \"T\" is\n    the second input, and so on. Other parameters are given as attributes because they\n    are constants. Moreover, the corresponding output tensors are \n    \n     - the new value of \"X\" (called \"X_new\"),\n     - the new exponentially-averaged historical gradient (denoted by \"V_new\"), and\n     - the new exponentially-averaged historical squared gradient (denoted by \"H_new\").\n\n    Those outputs are computed following the pseudo code below.\n\n    Let \"+\", \"-\", \"*\", and \"/\" are all element-wise arithmetic operations with\n    numpy-style broadcasting support. The pseudo code to compute those outputs is:\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||_2^2, where ||X||_2 is the 2-norm.\n      G_regularized = norm_coefficient * X + G\n\n      // Update exponentially-averaged historical gradient.\n      V_new = alpha * V + (1 - alpha) * G_regularized\n\n      // Update exponentially-averaged historical squared gradient.\n      H_new = beta * H + (1 - beta) * G_regularized * G_regularized\n\n      // Compute the element-wise square-root of H_new. V_new will be element-wisely\n      // divided by H_sqrt for a better update direction.\n      H_sqrt = Sqrt(H_new) + epsilon\n\n      // Compute learning-rate. Note that \"alpha**T\"/\"beta**T\" is alpha\'s/beta\'s T-th power.\n      R_adjusted = T > 0 ? R * Sqrt(1 - beta**T) / (1 - alpha**T) : R\n\n      // Compute new value of \"X\".\n      X_new = X - R_adjusted * V_new / H_sqrt\n\n      // Post-update regularization.\n      X_final = (1 - norm_coefficient_post) * X_new \n\n    If there are multiple inputs to be optimized, the pseudo code will be applied\n    independently to each of them.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Add"
+op_type: "Add"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary addition (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "And"
+op_type: "And"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `and` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "data"
+output: "reduced"
+name: "ArgMax"
+op_type: "ArgMax"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "select_last_index"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the indices of the max elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the max \nis selected if the max appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer."
+--
+input: "data"
+output: "reduced"
+name: "ArgMin"
+op_type: "ArgMin"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "select_last_index"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the indices of the min elements of the input tensor\'s element along the \nprovided axis. The resulting tensor has the same rank as the input if keepdims equal 1. \nIf keepdims equal 0, then the resulting tensor have the reduced dimension pruned. \nIf select_last_index is True (default False), the index of the last occurrence of the min \nis selected if the min appears more than once in the input. Otherwise the index of the \nfirst occurrence is selected.\nThe type of the output tensor is integer."
+--
+input: "X"
+input: "Y"
+output: "Z"
+name: "ArrayFeatureExtractor"
+op_type: "ArrayFeatureExtractor"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  strings: "double"
+  strings: "float"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\n    Select elements of the input tensor based on the indices passed.
        \n    The indices are applied to the last axes of the tensor.\n"
+--
+input: "input"
+output: "output"
+name: "Asin"
+op_type: "Asin"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the arcsine (inverse of sine) of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Asinh"
+op_type: "Asinh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic arcsine of the given input tensor element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Atan"
+op_type: "Atan"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the arctangent (inverse of tangent) of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Atanh"
+op_type: "Atanh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic arctangent of the given input tensor element-wise.\n"
+--
+input: "X"
+output: "Y"
+name: "AveragePool"
+op_type: "AveragePool"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "ceil_mode"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "count_include_pad"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n AveragePool consumes an input tensor X and applies average pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n average pooling consisting of computing the average on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - kernel_spatial_shape[i]) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - kernel_spatial_shape[i] + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + kernel_spatial_shape[i] - input_spatial_shape[i]\n ```\n The output of each pooling window is divided by the number of elements (exclude pad when attribute count_include_pad is zero).\n "
+--
+input: "X"
+input: "scale"
+input: "B"
+input: "mean"
+input: "var"
+output: "Y"
+output: "mean"
+output: "var"
+output: "saved_mean"
+output: "saved_var"
+name: "BatchNormalization"
+op_type: "BatchNormalization"
+attribute {
+  name: "epsilon"
+  f: 1e-05
+  type: FLOAT
+}
+attribute {
+  name: "momentum"
+  f: 0.9
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "scale-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "mean-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "var-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCarries out batch normalization as described in the paper\nhttps://arxiv.org/abs/1502.03167. Depending on the mode it is being run,\nthere are multiple cases for the number of outputs, which we list below:\n\nOutput case #1: Y, mean, var, saved_mean, saved_var (training mode)\nOutput case #2: Y (test mode)\n\nFor previous (depreciated) non-spatial cases, implementors are suggested\nto flatten the input shape to (N x C*D1*D2 ..*Dn) before a BatchNormalization Op.\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "X"
+output: "Y"
+name: "Binarizer"
+op_type: "Binarizer"
+attribute {
+  name: "threshold"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.\n"
+--
+input: "X"
+input: "Y"
+output: "Z"
+name: "BitShift"
+op_type: "BitShift"
+attribute {
+  name: "direction"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "uint16"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "uint16"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nBitwise shift operator performs element-wise operation. For each input element, if the\n attribute \"direction\" is \"RIGHT\", this operator moves its binary representation toward\n the right side so that the input value is effectively decreased. If the attribute \"direction\"\n is \"LEFT\", bits of binary representation moves toward the left side, which results the\n increase of its actual value. The input X is the tensor to be shifted and another input\n Y specifies the amounts of shifting. For example, if \"direction\" is \"Right\", X is [1, 4],\n and S is [1, 1], the corresponding output Z would be [0, 2]. If \"direction\" is \"LEFT\" with\n X=[1, 2] and S=[1, 2], the corresponding output Y would be [2, 8].\n \n Because this operator supports Numpy-style broadcasting, X\'s and Y\'s shapes are\n not necessarily identical.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)."
+--
+input: "input"
+output: "output"
+name: "Cast"
+op_type: "Cast"
+attribute {
+  name: "to"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "double"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe operator casts the elements of a given input tensor to a data type\nspecified by the \'to\' argument and returns an output tensor of the same size in\nthe converted type. The \'to\' argument must be one of the data types specified\nin the \'DataType\' enum field in the TensorProto message.\n\nCasting from string tensor in plain (e.g., \"3.14\" and \"1000\") and scientific numeric representations\n(e.g., \"1e-5\" and \"1E8\") to float types is supported. For example, converting string \"100.5\" to an integer may\nresult 100. There are some string literals reserved for special floating-point values;\n\"+INF\" (and \"INF\"), \"-INF\", and \"NaN\" are positive infinity, negative infinity, and not-a-number, respectively.\nAny string which can exactly match \"+INF\" in a case-insensitive way would be mapped to positive infinite. Similarly,\nthis case-insensitive rule is applied to \"INF\" and \"NaN\". When casting from numeric tensors\nto string tensors, plain floating-point representation (such as \"314.15926\") would be used. \nConverting non-numerical-literal string such as \"Hello World!\" is an undefined behavior. Cases \nof converting string representing floating-point arithmetic value, such as \"2.718\", to INT is an undefined behavior.\n\nConversion from a numerical type to any numerical type is always allowed.\nUser must be aware of precision loss and value change caused by range difference between two types.\nFor example, a 64-bit float 3.1415926459 may be round to a 32-bit float 3.141592. Similarly, converting\nan integer 36 to Boolean may produce 1 because we truncate bits which can\'t be stored in the targeted type.\n"
+--
+input: "X"
+output: "Y"
+name: "CastMap"
+op_type: "CastMap"
+attribute {
+  name: "cast_to"
+  s: "TO_FLOAT"
+  type: STRING
+}
+attribute {
+  name: "map_form"
+  s: "DENSE"
+  type: STRING
+}
+attribute {
+  name: "max_map"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "map(int64,float"
+  strings: "map(int64,string"
+  type: STRINGS
+}
+doc_string: "\n    Converts a map to a tensor.
        The map key must be an int64 and the values will be ordered\n    in ascending order based on this key.
        The operator supports dense packing or sparse packing.\n    If using sparse packing, the key cannot exceed the max_map-1 value.\n"
+--
+input: "X"
+output: "Y"
+name: "CategoryMapper"
+op_type: "CategoryMapper"
+attribute {
+  name: "cats_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "cats_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "default_int64"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "default_string"
+  s: "_Unused"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  type: STRINGS
+}
+doc_string: "\n    Converts strings to integers and vice versa.
        \n    Two sequences of equal length are used to map between integers and strings,\n    with strings and integers at the same index detailing the mapping.
        \n    Each operator converts either integers to strings or strings to integers, depending \n    on which default value attribute is provided. Only one default value attribute\n    should be defined.
        \n    If the string default value is set, it will convert integers to strings.\n    If the int default value is set, it will convert strings to integers.\n"
+--
+input: "X"
+output: "Y"
+name: "Ceil"
+op_type: "Ceil"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCeil takes one input data (Tensor) and produces one output data\n(Tensor) where the ceil is, y = ceil(x), is applied to\nthe tensor elementwise.\n"
+--
+input: "X"
+output: "Y"
+name: "Celu"
+op_type: "Celu"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nContinuously Differentiable Exponential Linear Units:\nPerform the linear unit element-wise on the input tensor X\nusing formula: \n\n```\nmax(0,x) + min(0,alpha*(exp(x/alpha)-1))\n```\n"
+--
+input: "input"
+input: "min"
+input: "max"
+output: "output"
+name: "Clip"
+op_type: "Clip"
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "min-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "max-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nClip operator limits the given input within an interval. The interval is\nspecified by the inputs \'min\' and \'max\'. They default to\nnumeric_limits::lowest() and numeric_limits::max(), respectively.\n"
+--
+input: "input"
+input: "condition"
+output: "output"
+name: "Compress"
+op_type: "Compress"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "condition-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\n    Selects slices from an input tensor along a given axis where condition evaluates to True for each axis index.\n    In case axis is not provided, input is flattened before elements are selected.\n    Compress behaves like numpy.compress: https://docs.scipy.org/doc/numpy/reference/generated/numpy.compress.html\n    "
+--
+input: "inputs"
+output: "concat_result"
+name: "Concat"
+op_type: "Concat"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "Concatenate a list of tensors into a single tensor. All input tensors must have the same shape, except for the dimension size of the axis to concatenate on."
+--
+input: "input_sequence"
+output: "concat_result"
+name: "ConcatFromSequence"
+op_type: "ConcatFromSequence"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "new_axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+doc_string: "\nConcatenate a sequence of tensors into a single tensor.\nAll input tensors must have the same shape, except for the dimension size of the axis to concatenate on.\nBy default \'new_axis\' is 0, the behavior is similar to numpy.concatenate.\nWhen \'new_axis\' is 1, the behavior is similar to numpy.stack.\n"
+--
+output: "output"
+name: "Constant"
+op_type: "Constant"
+attribute {
+  name: "sparse_value"
+  s: ""
+  type: SPARSE_TENSOR
+}
+attribute {
+  name: "value"
+  s: ""
+  type: TENSOR
+}
+attribute {
+  name: "value_float"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "value_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "value_int"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "value_ints"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "value_string"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "value_strings"
+  s: ""
+  type: STRINGS
+}
+doc_string: "\nThis operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,\nor value_* must be specified.\n"
+--
+input: "input"
+output: "output"
+name: "ConstantOfShape"
+op_type: "ConstantOfShape"
+attribute {
+  name: "value"
+  s: ""
+  type: TENSOR
+}
+attribute {
+  name: "input-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor with given value and shape.\n"
+--
+input: "X"
+input: "W"
+input: "B"
+output: "Y"
+name: "Conv"
+op_type: "Conv"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe convolution operator consumes an input tensor and a filter, and\ncomputes the output."
+--
+input: "x"
+input: "w"
+input: "x_zero_point"
+input: "w_zero_point"
+output: "y"
+name: "ConvInteger"
+op_type: "ConvInteger"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "x-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "x_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe integer convolution operator consumes an input tensor, its zero-point, a filter, and its zero-point,\nand computes the output. The production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n"
+--
+input: "X"
+input: "W"
+input: "B"
+output: "Y"
+name: "ConvTranspose"
+op_type: "ConvTranspose"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "output_padding"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "output_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe convolution transpose operator consumes an input tensor and a filter,\nand computes the output.\n\nIf the pads parameter is provided the shape of the output is calculated via the following equation:\n\n  output_shape[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - pads[start_i] - pads[end_i]\n\noutput_shape can also be explicitly specified in which case pads values are auto generated using these equations:\n\n  total_padding[i] = stride[i] * (input_size[i] - 1) + output_padding[i] + ((kernel_shape[i] - 1) * dilations[i] + 1) - output_shape[i]\n  If (auto_pads != SAME_UPPER): pads[start_i] = total_padding[i]/2; pads[end_i] = total_padding[i] - (total_padding[i]/2)\n  Else: pads[start_i] = total_padding[i] - (total_padding[i]/2); pads[end_i] = (total_padding[i]/2).\n\n    "
+--
+input: "input"
+output: "output"
+name: "Cos"
+op_type: "Cos"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the cosine of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Cosh"
+op_type: "Cosh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic cosine of the given input tensor element-wise.\n"
+--
+input: "x"
+input: "axis"
+output: "y"
+name: "CumSum"
+op_type: "CumSum"
+attribute {
+  name: "exclusive"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "reverse"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "x-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "axis-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nPerforms cumulative sum of the input elements along the given axis.\nBy default, it will do the sum inclusively meaning the first element is copied as is.\nThrough an `exclusive` attribute, this behavior can change to exclude the first element.\nIt can also perform summation in the opposite direction of the axis. For that, set `reverse` attribute to 1.\n\nExample:\n```\ninput_x = [1, 2, 3]\naxis=0\noutput = [1, 3, 6]\nexclusive=1\noutput = [0, 1, 3]\nexclusive=0\nreverse=1\noutput = [6, 5, 3]\nexclusive=1\nreverse=1\noutput = [5, 3, 0]\n```\n "
+--
+input: "input"
+output: "output"
+name: "DepthToSpace"
+op_type: "DepthToSpace"
+attribute {
+  name: "blocksize"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "mode"
+  s: "DCR"
+  type: STRING
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "DepthToSpace rearranges (permutes) data from depth into blocks of spatial data.\nThis is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of\nthe input tensor where values from the depth dimension are moved in spatial blocks to the height\nand width dimensions. By default, `mode` = `DCR`.\nIn the DCR mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: depth, column, and then row. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, blocksize, blocksize, c // (blocksize**2), h, w])\n\ntmp = np.transpose(tmp, [0, 3, 4, 1, 5, 2])\n\ny = np.reshape(tmp, [b, c // (blocksize**2), h * blocksize, w * blocksize])\n\n\nIn the CRD mode, elements along the depth dimension from the input tensor are rearranged in the\nfollowing order: column, row, and the depth. The output y is computed from the input x as below:\n\nb, c, h, w = x.shape\n\ntmp = np.reshape(x, [b, c // (blocksize ** 2), blocksize, blocksize, h, w])\n\ntmp = np.transpose(tmp, [0, 1, 4, 2, 5, 3])\n\ny = np.reshape(tmp, [b, c // (blocksize ** 2), h * blocksize, w * blocksize])\n\n"
+--
+input: "x"
+input: "x_scale"
+input: "x_zero_point"
+output: "y"
+name: "DequantizeLinear"
+op_type: "DequantizeLinear"
+attribute {
+  name: "x-types"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "x_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "x_zero_point-types"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe linear dequantization operator. It consumes a quantized tensor, a scale, a zero point to compute the full precision tensor.\nThe dequantization formula is y = (x - x_zero_point) * x_scale. \'x_scale\' and \'x_zero_point\' must have same shape.\n\'x_zero_point\' and \'x\' must have same type. \'x\' and \'y\' must have same shape. In the case of dequantizing int32,\nthere\'s no zero point (zero point is supposed to be 0).\n"
+--
+input: "X"
+output: "Y"
+name: "Det"
+op_type: "Det"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nDet calculates determinant of a square matrix or batches of square matrices.\nDet takes one input tensor of shape `[*, M, M]`, where `*` is zero or more batch dimensions,\nand the inner-most 2 dimensions form square matrices.\nThe output is a tensor of shape `[*]`, containing the determinants of all input submatrices.\ne.g., When the input is 2-D, the output is a scalar(shape is empty: `[]`).\n"
+--
+input: "X"
+output: "Y"
+name: "DictVectorizer"
+op_type: "DictVectorizer"
+attribute {
+  name: "int64_vocabulary"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "string_vocabulary"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "map(string,double"
+  strings: "map(int64,double"
+  strings: "map(string,float"
+  strings: "map(int64,float"
+  strings: "map(int64,string"
+  strings: "map(string,int64"
+  type: STRINGS
+}
+doc_string: "\n    Uses an index mapping to convert a dictionary to an array.
        \n    Given a dictionary, each key is looked up in the vocabulary attribute corresponding to\n    the key type. The index into the vocabulary array at which the key is found is then\n    used to index the output 1-D tensor \'Y\' and insert into it the value found in the dictionary \'X\'.
        \n    The key type of the input map must correspond to the element type of the defined vocabulary attribute.\n    Therefore, the output array will be equal in length to the index mapping vector parameter.\n    All keys in the input dictionary must be present in the index mapping vector.\n    For each item in the input dictionary, insert its value in the output array.\n    Any keys not present in the input dictionary, will be zero in the output array.
        \n    For example: if the ``string_vocabulary`` parameter is set to ``[\"a\", \"c\", \"b\", \"z\"]``,\n    then an input of ``{\"a\": 4, \"c\": 8}`` will produce an output of ``[4, 8, 0, 0]``.\n    "
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Div"
+op_type: "Div"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary division (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "data"
+input: "ratio"
+input: "training_mode"
+output: "output"
+output: "mask"
+name: "Dropout"
+op_type: "Dropout"
+attribute {
+  name: "seed"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "ratio-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "training_mode-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nDropout takes an input floating-point tensor, an optional input ratio (floating-point scalar) and an optional input training_mode (boolean scalar). It produces two tensor outputs,\noutput (floating-point tensor) and mask (optional `Tensor`). If `training_mode` is true then the output Y will be a random dropout;\nNote that this Dropout scales the masked input data by the following equation, so to convert the trained model into inference mode,\nthe user can simply not pass `training_mode` input or set it to false.\n```\noutput = scale * data * mask,\n```\nwhere\n```\nscale = 1. / (1. - ratio).\n```\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "x"
+output: "y"
+output: "y_scale"
+output: "y_zero_point"
+name: "DynamicQuantizeLinear"
+op_type: "DynamicQuantizeLinear"
+attribute {
+  name: "x-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nA Function to fuse calculation for Scale, Zero Point and FP32->8Bit convertion of FP32 Input data.\nOutputs Scale, ZeroPoint and Quantized Input for a given FP32 Input.\nScale is calculated as:\n```\n y_scale = (max(x) - min(x))/(qmax - qmin)\n * where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n * data range is adjusted to include 0.\n```\nZero point is calculated as:\n```\nintermediate_zero_point = qmin - min(x)/y_scale\ny_zero_point = cast(round(saturate(itermediate_zero_point)))\n* where qmax and qmin are max and min values for quantization range .i.e [0, 255] in case of uint8\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\nData quantization formula is:\n```\ny = saturate (round (x / y_scale) + y_zero_point)\n* for saturation, it saturates to [0, 255] if it\'s uint8, or [-127, 127] if it\'s int8. Right now only uint8 is supported.\n* rounding to nearest ties to even.\n```\n"
+--
+input: "Inputs"
+output: "Output"
+name: "Einsum"
+op_type: "Einsum"
+attribute {
+  name: "equation"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "Inputs-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nAn einsum of the form ```term1, term2 -> output-term``` produces an output tensor using the following equation\n\n```output[output-term] = reduce-sum( input1[term1] * input2[term] )```\n\nwhere the reduce-sum performs a summation over all the indices occurring in in the input terms (term1, term2)\nthat do not occur in the output-term.\n\nThe Einsum operator evaluates algebraic tensor operations on a sequence of tensors, using the Einstein summation\nconvention. The equation string contains a comma-separated sequence of lower case letters. Each term corresponds to\nan operand tensor, and the characters within the terms correspond to operands dimensions.\n\nThis sequence may be followed by \"->\" to separate the left and right hand side of the equation.\nIf the equation contains \"->\" followed by the right-hand side, the explicit (not classical) form of the Einstein\nsummation is performed, and the right-hand side indices indicate output tensor dimensions. In other cases,\noutput indices are (implicitly) set to the alphabetically sorted sequence of indices appearing exactly once in the\nequation.\n\nWhen a dimension character is repeated in the left-hand side, it represents summation along the dimension.\n\nThe equation may contain ellipsis (\"...\") to enable broadcasting. Ellipsis must indicate a fixed number of dimensions.\nSpecifically, every occurrence of ellipsis in the equation must represent the same number of dimensions.\nThe right-hand side may contain exactly one ellipsis. In implicit mode, the ellipsis dimensions are set to the\nbeginning of the output. The equation string may contain space (U+0020) character.\n"
+--
+input: "X"
+output: "Y"
+name: "Elu"
+op_type: "Elu"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nElu takes one input data (Tensor) and produces one output data\n(Tensor) where the function `f(x) = alpha * (exp(x) - 1.) for x <\n0`, `f(x) = x for x >= 0`., is applied to the tensor elementwise.\n\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Equal"
+op_type: "Equal"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "input"
+output: "output"
+name: "Erf"
+op_type: "Erf"
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the error function of the given input tensor element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Exp"
+op_type: "Exp"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the exponential of the given input tensor, element-wise.\n"
+--
+input: "input"
+input: "shape"
+output: "output"
+name: "Expand"
+op_type: "Expand"
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "shape-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nBroadcast the input tensor following the given shape and the broadcast rule.\nThe broadcast rule is similar to numpy.array(input) * numpy.ones(shape):\nDimensions are right alignment;\nTwo corresponding dimension must have the same value, or one of them is equal to 1.\nAlso, this operator is similar to numpy.broadcast_to(input, shape),\nbut the major difference is numpy.broadcast_to() does not allow shape to be smaller than input.size().\nIt is possible that the output.shape is not equal to shape, when some dimensions in shape is equal to 1,\nor the shape.ndim < input.shape.ndim.\n"
+--
+input: "input"
+output: "output"
+name: "EyeLike"
+op_type: "EyeLike"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "k"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "double"
+  strings: "uint32"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGenerate a 2D tensor (matrix) with ones on the diagonal and zeros everywhere else. Only 2D\ntensors are supported, i.e. input T1 must be of rank 2. The shape of the output tensor is the\nsame as the input tensor. The data type can be specified by the \'dtype\' argument. If\n\'dtype\' is not specified, then the type of input tensor is used. By default, the main diagonal\nis populated with ones, but attribute \'k\' can be used to populate upper or lower diagonals.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n"
+--
+input: "X"
+output: "Y"
+name: "FeatureVectorizer"
+op_type: "FeatureVectorizer"
+attribute {
+  name: "inputdimensions"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Concatenates input tensors into one continuous output.
        \n    All input shapes are 2-D and are concatenated along the second dimention. 1-D tensors are treated as [1,C].\n    Inputs are copied to the output maintaining the order of the input arguments.
        \n    All inputs must be integers or floats, while the output will be all floating point values.\n"
+--
+input: "input"
+output: "output"
+name: "Flatten"
+op_type: "Flatten"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nFlattens the input tensor into a 2D matrix. If input tensor has shape\n(d_0, d_1, ... d_n) then the output will have shape\n(d_0 X d_1 ... d_(axis-1), d_axis X d_(axis+1) ... X dn).\n"
+--
+input: "X"
+output: "Y"
+name: "Floor"
+op_type: "Floor"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nFloor takes one input data (Tensor) and produces one output data\n(Tensor) where the floor is, y = floor(x), is applied to\nthe tensor elementwise.\n"
+--
+input: "X"
+input: "W"
+input: "R"
+input: "B"
+input: "sequence_lens"
+input: "initial_h"
+output: "Y"
+output: "Y_h"
+name: "GRU"
+op_type: "GRU"
+attribute {
+  name: "activation_alpha"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activation_beta"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activations"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "clip"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "direction"
+  s: "forward"
+  type: STRING
+}
+attribute {
+  name: "hidden_size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "linear_before_reset"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "initial_h-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nComputes an one-layer GRU. This operator is usually supported via some custom\nimplementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`z` - update gate\n\n`r` - reset gate\n\n`h` - hidden gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[zrh]` - W parameter weight matrix for update, reset, and hidden gates\n\n`R[zrh]` - R recurrence weight matrix for update, reset, and hidden gates\n\n`Wb[zrh]` - W bias vectors for update, reset, and hidden gates\n\n`Rb[zrh]` - R bias vectors for update, reset, and hidden gates\n\n`WB[zrh]` - W parameter weight matrix for backward update, reset, and hidden gates\n\n`RB[zrh]` - R recurrence weight matrix for backward update, reset, and hidden gates\n\n`WBb[zrh]` - W bias vectors for backward update, reset, and hidden gates\n\n`RBb[zrh]` - R bias vectors for backward update, reset, and hidden gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n  Relu(x)                - max(0, x)\n\n  Tanh(x)                - (1 - e^{-2x})/(1 + e^{-2x})\n\n  Sigmoid(x)             - 1/(1 + e^{-x})\n\n  (NOTE: Below are optional)\n\n  Affine(x)              - alpha*x + beta\n\n  LeakyRelu(x)           - x if x >= 0 else alpha * x\n\n  ThresholdedRelu(x)     - x if x >= alpha else 0\n\n  ScaledTanh(x)          - alpha*Tanh(beta*x)\n\n  HardSigmoid(x)         - min(max(alpha*x + beta, 0), 1)\n\n  Elu(x)                 - x if x >= 0 else alpha*(e^x - 1)\n\n  Softsign(x)            - x/(1 + |x|)\n\n  Softplus(x)            - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh):\n\n  - zt = f(Xt*(Wz^T) + Ht-1*(Rz^T) + Wbz + Rbz)\n\n  - rt = f(Xt*(Wr^T) + Ht-1*(Rr^T) + Wbr + Rbr)\n\n  - ht = g(Xt*(Wh^T) + (rt (.) Ht-1)*(Rh^T) + Rbh + Wbh) # default, when linear_before_reset = 0\n\n  - ht = g(Xt*(Wh^T) + (rt (.) (Ht-1*(Rh^T) + Rbh)) + Wbh) # when linear_before_reset != 0\n\n  - Ht = (1 - zt) (.) ht + zt (.) Ht-1\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "data"
+input: "indices"
+output: "output"
+name: "Gather"
+op_type: "Gather"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nGiven `data` tensor of rank r >= 1, and `indices` tensor of rank q, gather\nentries of the axis dimension of `data` (by default outer-most one as axis=0) indexed by `indices`, and concatenates\nthem in an output tensor of rank q + (r - 1).\n\naxis = 0 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[k , j_{0}, ..., j_{r-2}]\n\n```\n  data = [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ]\n  indices = [\n      [0, 1],\n      [1, 2],\n  ]\n  output = [\n      [\n          [1.0, 1.2],\n          [2.3, 3.4],\n      ],\n      [\n          [2.3, 3.4],\n          [4.5, 5.7],\n      ],\n  ]\n```\naxis = 1 :\n\nLet\nk = indices[i_{0}, ..., i_{q-1}]\nThen\noutput[i_{0}, ..., i_{q-1}, j_{0}, ..., j_{r-2}] = input[j_{0}, k, j_{1}, ..., j_{r-2}]\n\n```\n  data = [\n      [1.0, 1.2, 1.9],\n      [2.3, 3.4, 3.9],\n      [4.5, 5.7, 5.9],\n  ]\n  indices = [\n      [0, 2],\n  ]\n  axis = 1,\n  output = [\n      [\n          [1.0, 1.9],\n          [2.3, 3.9],\n          [4.5, 5.9],\n      ],\n  ]\n```\n"
+--
+input: "data"
+input: "indices"
+output: "output"
+name: "GatherElements"
+op_type: "GatherElements"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\n\nGatherElements takes two inputs `data` and `indices` of the same rank r >= 1\nand an optional attribute `axis` that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). It is an indexing operation\nthat produces its output by indexing into the input data tensor at index\npositions determined by elements of the `indices` tensor.\nIts output shape is the same as the shape of `indices` and consists of one value\n(gathered from the `data`) for each element in `indices`.\n\nFor instance, in the 3-D case (r = 3), the output produced is determined\nby the following equations: \n```\n  out[i][j][k] = input[index[i][j][k]][j][k] if axis = 0,\n  out[i][j][k] = input[i][index[i][j][k]][k] if axis = 1,\n  out[i][j][k] = input[i][j][index[i][j][k]] if axis = 2,\n```\n\nThis operator is also the inverse of ScatterElements. It is similar to Torch\'s gather operation.\n\nExample 1:\n```\n  data = [\n      [1, 2],\n      [3, 4],\n  ]\n  indices = [\n      [0, 0],\n      [1, 0],\n  ]\n  axis = 1\n  output = [\n      [\n        [1, 1],\n        [4, 3],\n      ],\n  ]\n```\nExample 2:\n```\n  data = [\n      [1, 2, 3],\n      [4, 5, 6],\n      [7, 8, 9],\n  ]\n  indices = [\n      [1, 2, 0],\n      [2, 0, 0],\n  ]\n  axis = 0\n  output = [\n      [\n        [4, 8, 3],\n        [7, 2, 3],\n      ],\n  ]\n```\n"
+--
+input: "data"
+input: "indices"
+output: "output"
+name: "GatherND"
+op_type: "GatherND"
+attribute {
+  name: "batch_dims"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nGiven `data` tensor of rank `r` >= 1, `indices` tensor of rank `q` >= 1, and `batch_dims` integer `b`, this operator gathers \nslices of `data` into an output tensor of rank `q + r - indices_shape[-1] - 1 - b`.\n\n`indices` is an q-dimensional integer tensor, best thought of as a `(q-1)`-dimensional tensor of index-tuples into `data`, \nwhere each element defines a slice of `data`\n\n`batch_dims` (denoted as `b`) is an integer indicating the number of batch dimensions, i.e the leading `b` number of dimensions of \n`data` tensor and `indices` are representing the batches, and the gather starts from the `b+1` dimension. \n\nSome salient points about the inputs\' rank and shape:\n \n1) r >= 1 and q >= 1 are to be honored. There is no dependency condition to be met between ranks `r` and `q`\n\n2) The first `b` dimensions of the shape of `indices` tensor and `data` tensor must be equal.\n\n3) b < min(q, r) is to be honored.\n\n4) The `indices_shape[-1]` should have a value between 1 (inclusive) and rank `r-b` (inclusive) \n\n5) All values in `indices` are expected to be within bounds [-s, s-1] along axis of size `s` (i.e.) `-data_shape[i] <= indices[...,i] <= data_shape[i] - 1`.\n   It is an error if any of the index values are out of bounds.\n\nThe output is computed as follows:\n\nThe output tensor is obtained by mapping each index-tuple in the `indices` tensor to the corresponding slice of the input `data`.\n \n1) If `indices_shape[-1] > r-b` => error condition\n\n2) If `indices_shape[-1] == r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensors\n   containing 1-D tensors of dimension `r-b`, where `N` is an integer equals to the product of 1 and all the elements in the batch dimensions \n   of the indices_shape. Let us think of each such `r-b` ranked tensor as `indices_slice`. Each *scalar value* corresponding to `data[0:b-1,indices_slice]` \n   is filled into the corresponding location of the `(q-b-1)`-dimensional tensor to form the `output` tensor (Example 1 below)\n\n3) If `indices_shape[-1] < r-b`, since the rank of `indices` is `q`, `indices` can be thought of as `N` `(q-b-1)`-dimensional tensor\n   containing 1-D tensors of dimension `< r-b`. Let us think of each such tensors as `indices_slice`. Each *tensor slice* corresponding \n   to `data[0:b-1, indices_slice , :]` is filled into the corresponding location of the `(q-b-1)`-dimensional tensor \n   to form the `output` tensor (Examples 2, 3, 4 and 5 below)\n\nThis operator is the inverse of `ScatterND`.\n\n`Example 1`\n\n  batch_dims = 0\n\n  data    = [[0,1],[2,3]]   # data_shape = [2, 2]\n\n  indices = [[0,0],[1,1]]   # indices_shape = [2, 2]\n\n  output  = [0,3]           # output_shape = [2]\n\n`Example 2`\n\n  batch_dims = 0\n\n  data    = [[0,1],[2,3]]  # data_shape = [2, 2]\n\n  indices = [[1],[0]]      # indices_shape = [2, 1]\n\n  output  = [[2,3],[0,1]]  # output_shape = [2, 2]\n\n`Example 3`\n\n  batch_dims = 0\n\n  data    = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n  indices = [[0,1],[1,0]]                 # indices_shape = [2, 2]\n\n  output  = [[2,3],[4,5]]                 # output_shape = [2, 2]   \n\n`Example 4`\n\n  batch_dims = 0\n\n  data    = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n  indices = [[[0,1]],[[1,0]]]             # indices_shape = [2, 1, 2]\n\n  output  = [[[2,3]],[[4,5]]]             # output_shape = [2, 1, 2] \n\n`Example 5`\n\n  batch_dims = 1\n\n  data    = [[[0,1],[2,3]],[[4,5],[6,7]]] # data_shape = [2, 2, 2]\n\n  indices = [[1],[0]]             # indices_shape = [2, 1]\n\n  output  = [[2,3],[4,5]]             # output_shape = [2, 2] \n\n\n"
+--
+input: "A"
+input: "B"
+input: "C"
+output: "Y"
+name: "Gemm"
+op_type: "Gemm"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "transA"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "transB"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "C-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "General Matrix multiplication:\nhttps://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3\n\nA\' = transpose(A) if transA else A\n\nB\' = transpose(B) if transB else B\n\nCompute Y = alpha * A\' * B\' + beta * C, where input tensor A has shape (M, K) or (K, M),\ninput tensor B has shape (K, N) or (N, K), input tensor C is broadcastable to shape (M, N),\nand output tensor Y has shape (M, N). A will be transposed before doing the\ncomputation if attribute transA is non-zero, same for B and transB.\nThis operator supports **unidirectional broadcasting** (tensor C should be unidirectional broadcastable to tensor A * B); for more details please check [the doc](Broadcasting.md).\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "X"
+output: "Y"
+name: "GlobalAveragePool"
+op_type: "GlobalAveragePool"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n GlobalAveragePool consumes an input tensor X and applies average pooling across\n the values in the same channel. This is equivalent to AveragePool with kernel size\n equal to the spatial dimension of input tensor."
+--
+input: "X"
+output: "Y"
+name: "GlobalLpPool"
+op_type: "GlobalLpPool"
+attribute {
+  name: "p"
+  i: 2
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n GlobalLpPool consumes an input tensor X and applies lp pool pooling across\n the values in the same channel. This is equivalent to LpPool with kernel size\n equal to the spatial dimension of input tensor."
+--
+input: "X"
+output: "Y"
+name: "GlobalMaxPool"
+op_type: "GlobalMaxPool"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n GlobalMaxPool consumes an input tensor X and applies max pooling across\n the values in the same channel. This is equivalent to MaxPool with kernel size\n equal to the spatial dimension of input tensor."
+--
+input: "Inputs"
+output: "Outputs"
+name: "Gradient"
+op_type: "Gradient"
+attribute {
+  name: "xs"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "y"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "zs"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "Inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGradient operator computes the partial derivatives of a specific tensor w.r.t.\nsome other tensors. This operator is widely used in gradient-based training\nalgorithms. To illustrate its use, let\'s consider a computation graph,\n\n```\nX -----.\n       |\n       v\nW --> Conv --> H --> Gemm --> Y\n                      ^\n                      |\n                      Z\n```\n\n, where W and Z are trainable tensors. Note that operators\' attributes are\nomitted for the sake of simplicity. Let dY/dW (dY/dZ) be the gradient of\nY with respect to W (Z). The user can compute gradient by inserting Gradient\noperator to form another graph shown below.\n\n```\nW --> Conv --> H --> Gemm --> Y\n|      ^              ^\n|      |              |\n|      X              Z\n|      |              |\n|      |   .----------\'\n|      |   |  (W/Z/X is the 1st/2nd/3rd input of Gradient as shown in\n|      |   |   \"xs\" followed by \"zs\")\n|      v   v\n\'---> Gradient(xs=[\"W\", \"Z\"], zs=[\"X\"], y=\"Y\")\n       |   |\n       |   \'-----------------------------------> dY/dW (1st output of Gradient)\n       |\n       \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nBy definition, the tensor \"y\" is a function of independent variables in \"xs\"\nand \"zs\". Since we only compute the gradient of \"y\" w.r.t. the differentiable\nvariables in \"xs\", this Gradient only outputs dY/dW and dY/dZ. Note that \"H\"\ncannot appear in \"xs\" and \"zs\". The reason is that \"H\" can be determined by\ntensors \"W\" and \"X\" and therefore \"H\" is not an independent variable.\n\nAll outputs are optional. If needed, for example, user can assign an empty\nstring to the 1st output name of that Gradient to skip the generation of dY/dW.\nNote that the concept of optional outputs can also be found in ONNX\'s RNN, GRU,\nand LSTM.\n\nGradient operator can compute derivative against intermediate tensors. For\nexample, the gradient of Y with respect to H can be done via\n\n```\nW --> Conv --> H --> Gemm --> Y\n       ^       |      ^\n       |       |      |\n       X       |      Z\n       .-------\'      |\n       |   .----------\'\n       |   | (H/Z is the 1st/2nd input of Gradient as shown in \"xs\")\n       v   v\n      Gradient(xs=[\"H\", \"Z\"], y=\"Y\")\n       |   |\n       |   \'-----------------------------------> dY/dH (1st output of Gradient)\n       |\n       \'---------------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nIt is possible to represent high-order differentiation using Gradient operators.\nFor example, given the following linear model:\n\n```\nW --> Gemm --> Y --> Loss --> O\n       ^              ^\n       |              |\n       X              L\n```\n\nTo compute the 2nd order derivative of O with respect to W (denoted by\nd^2O/dW^2), one can do\n\n```\nW --> Gemm --> Y --> Loss --> O\n|      ^              ^\n|      |              |\n|      X .------------L\n|      | |            |\n|      | |            v\n+------+-+> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"O\") ---> dO/dX (1st output of Gradient)\n|      | |    |\n|      | |    \'---> dO/dW (2nd output of Gradient)\n|      v v\n\'---> Gradient(xs=[\"X\", \"W\"], zs=[\"L\"], y=\"dO/dW\") ---> d(dO/dW)dX (1st output of\n       |                                                  Gradient)\n       |\n       |\n       \'---> d^2O/dW^2 (2nd output of Gradient)\n```\n\nThe tensors named in attributes \"xs\", \"zs\", and \"y\" define the differentiated\ncomputation graph, and the inputs to Gradient node define the values at\nwhich the gradient is computed. We can feed different tensors to the identified\ngraph. For example, one can compute the gradient of Y with respect to H at \na specific value of H, H_1, by providing that value as an input to the Gradient\nnode.\n\n```\nW --> Conv --> H --> Gemm --> Y\n       ^              ^\n       |              |\n       X              Z\n\n          Z_1 (2nd input of Gradient)\n           |\n           v\nH_1 --> Gradient(xs=[\"H\", \"Z\"], y=\"Y\") ---> dY/dH when H = H_1 and Y = Y_1.\n           |\n           \'------------------------------> dY/dZ (2nd output of Gradient)\n```\n\nWhen the inputs of Gradient are the tensors named in \"xs\" and \"zs\", the\ncomputation can be optimized. More specifically, intermediate variables in\nforward pass can be reused if the gradient is computed via reverse-mode\nauto-differentiation.\n\n"
+--
+input: "Inputs"
+output: "Outputs"
+name: "GraphCall"
+op_type: "GraphCall"
+attribute {
+  name: "graph_name"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "Inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe GraphCall operator invokes a graph inside TrainingInfoProto\'s\nalgorithm field. The GraphCall inputs and outputs are bound to those of\ninvoked graph by position. If a graph input has an initializer, that input\nis considered optional. All graph outputs are optional.\n\nBelow Python syntax is used for describing dictionary and list.\n\nAssume that ModelProto\'s graph field has\n- name: \"MyInferenceGraph\"\n- input: [\"X\", \"W\", \"Z\"]\n- initializer: [W]\n- output: [\"Y\"]\n\nas visualized below for inference.\n\n```\nX -----.\n       |\n       v\nW --> Conv --> H --> Gemm --> Y\n                      ^\n                      |\n                      Z\n```\n\nAssume that the training algorithm contains\n\n- inputs: [\"X_1\", \"Z_1\", \"C\"]\n- initializer: [T]\n- outputs: [\"W_new\"]\n\nwith a dictionary\n\n- update_binding: {\"W\": \"W_new\", \"T\": \"T_new\"}\n\nInside the training algorithm graph, one can invoke the inference\ngraph via adding a GraphCall node with\n\n- inputs: [\"X_1\", \"W\", Z_1\"]\n- outputs: [\"Y_1\"]\n- an attribute graph_name=\"MyInferenceGraph\",\n\nThe initializers, \"W\" and \"T\" in this case, in update_binding\nare considered globally-visible and mutable variables, which\ncan be used as inputs of operators in the training graph.\n\nAn example training algorithm graph may look like\n\n```\n.-------- W (a global and mutable variable from\n|         |  the inference graph)\n|         |\n|   .-----\'-----------.\n|   |                 |\n|   |                 v\n|   | .-- X_1 --> GraphCall(graph_name=\"MyInferenceGraph\")\n|   | |            |  |\n|   | |            |  |\n|   | |   Z_1 -----\'  |\n|   | |    |          V\n|   | |    |         Y_1 ---> Loss ---> O\n|   | |    |                    ^\n|   | |    |                    |\n|   | `--. |                    C\n|   |    | |                    |\n|   |    | |   .----------------\'\n|   |    | |   |\n|   |    v v   v\n|   `--> Gradient(xs=[\"W\"], zs=[\"X_1\", \"Z_1\", \"C\"], y=\"O\")\n|        |\n|        v\n|      dO_dW (gradient of W)      1 (a scalar one)\n|        |                        |\n|        V                        v\n|       Div <--- T ------------> Add ---> T_new\n|        |    (T is the number of training iterations.\n|        |     T is also globally visible and mutable.)\n|        v\n`-----> Sub ----> W_new\n```\n\nwhere Loss is a dummy node which computes the minimized objective function.\n\nThe variable \"W\" is an optional input in the called graph.\nIf the user omits it, the input list of GraphCall becomes [\"X_1\", \"\", \"Z_1\"].\nIn this case, from the view of computation graph, the Conv operator invoked by\nGraphCall\'s may be still connected the global \"W\" variable and therefore the\nstructure of the computation graph is unchanged.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Greater"
+op_type: "Greater"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `greater` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "GreaterOrEqual"
+op_type: "GreaterOrEqual"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `greater_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+name: "HardSigmoid"
+op_type: "HardSigmoid"
+attribute {
+  name: "alpha"
+  f: 0.2
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 0.5
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nHardSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the HardSigmoid function, y = max(0, min(1, alpha * x + beta)),\nis applied to the tensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Hardmax"
+op_type: "Hardmax"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe operator computes the hardmax (1 for the first maximum value, and 0 for all others) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the hardmax values of the corresponding input.\n"
+--
+input: "input"
+output: "output"
+name: "Identity"
+op_type: "Identity"
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "Identity operator"
+--
+input: "cond"
+output: "outputs"
+name: "If"
+op_type: "If"
+attribute {
+  name: "else_branch"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "then_branch"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "cond-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "If conditional"
+--
+input: "X"
+output: "Y"
+name: "Imputer"
+op_type: "Imputer"
+attribute {
+  name: "imputed_value_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "imputed_value_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "replaced_value_float"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "replaced_value_int64"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Replaces inputs that equal one value with another, leaving all other elements alone.
        \n    This operator is typically used to replace missing values in situations where they have a canonical\n    representation, such as -1, 0, NaN, or some extreme value.
        \n    One and only one of imputed_value_floats or imputed_value_int64s should be defined -- floats if the input tensor\n    holds floats, integers if the input tensor holds integers. The imputed values must all fit within the\n    width of the tensor element type. One and only one of the replaced_value_float or replaced_value_int64 should be defined,\n    which one depends on whether floats or integers are being processed.
        \n    The imputed_value attribute length can be 1 element, or it can have one element per input feature.
        In other words, if the input tensor has the shape [*,F], then the length of the attribute array may be 1 or F. If it is 1, then it is broadcast along the last dimension and applied to each feature.\n"
+--
+input: "input"
+input: "scale"
+input: "B"
+output: "output"
+name: "InstanceNormalization"
+op_type: "InstanceNormalization"
+attribute {
+  name: "epsilon"
+  f: 1e-05
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "scale-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCarries out instance normalization as described in the paper\nhttps://arxiv.org/abs/1607.08022.\n\ny = scale * (x - mean) / sqrt(variance + epsilon) + B,\nwhere mean and variance are computed per instance per channel.\n\n"
+--
+input: "X"
+output: "Y"
+name: "IsInf"
+op_type: "IsInf"
+attribute {
+  name: "detect_negative"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "detect_positive"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "Map infinity to true and other values to false."
+--
+input: "X"
+output: "Y"
+name: "IsNaN"
+op_type: "IsNaN"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "Returns which elements of the input are NaN."
+--
+input: "X"
+output: "Y"
+name: "LRN"
+op_type: "LRN"
+attribute {
+  name: "alpha"
+  f: 0.0001
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  f: 0.75
+  type: FLOAT
+}
+attribute {
+  name: "bias"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nLocal Response Normalization proposed in the [AlexNet paper](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf).\nIt normalizes over local input regions.\nThe local region is defined across the channels. For an element X[n, c, d1, ..., dk] in a tensor\nof shape (N x C x D1 x D2, ..., Dk), its region is\n{X[n, i, d1, ..., dk] | max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2))}.\n\nsquare_sum[n, c, d1, ..., dk] = sum(X[n, i, d1, ..., dk] ^ 2),\nwhere max(0, c - floor((size - 1) / 2)) <= i <= min(C - 1, c + ceil((size - 1) / 2)).\n\nY[n, c, d1, ..., dk] = X[n, c, d1, ..., dk] / (bias + alpha / size * square_sum[n, c, d1, ..., dk] ) ^ beta\n"
+--
+input: "X"
+input: "W"
+input: "R"
+input: "B"
+input: "sequence_lens"
+input: "initial_h"
+input: "initial_c"
+input: "P"
+output: "Y"
+output: "Y_h"
+output: "Y_c"
+name: "LSTM"
+op_type: "LSTM"
+attribute {
+  name: "activation_alpha"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activation_beta"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activations"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "clip"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "direction"
+  s: "forward"
+  type: STRING
+}
+attribute {
+  name: "hidden_size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input_forget"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "initial_h-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "initial_c-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "P-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nComputes an one-layer LSTM. This operator is usually supported via some\ncustom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`o` - output gate\n\n`f` - forget gate\n\n`c` - cell gate\n\n`t` - time step (t-1 means previous time step)\n\n`W[iofc]` - W parameter weight matrix for input, output, forget, and cell gates\n\n`R[iofc]` - R recurrence weight matrix for input, output, forget, and cell gates\n\n`Wb[iofc]` - W bias vectors for input, output, forget, and cell gates\n\n`Rb[iofc]` - R bias vectors for input, output, forget, and cell gates\n\n`P[iof]`  - P peephole weight vector for input, output, and forget gates\n\n`WB[iofc]` - W parameter weight matrix for backward input, output, forget, and cell gates\n\n`RB[iofc]` - R recurrence weight matrix for backward input, output, forget, and cell gates\n\n`WBb[iofc]` - W bias vectors for backward input, output, forget, and cell gates\n\n`RBb[iofc]` - R bias vectors for backward input, output, forget, and cell gates\n\n`PB[iof]`  - P peephole weight vector for backward input, output, and forget gates\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n  Relu(x)                - max(0, x)\n\n  Tanh(x)                - (1 - e^{-2x})/(1 + e^{-2x})\n\n  Sigmoid(x)             - 1/(1 + e^{-x})\n\n  (NOTE: Below are optional)\n\n  Affine(x)              - alpha*x + beta\n\n  LeakyRelu(x)           - x if x >= 0 else alpha * x\n\n  ThresholdedRelu(x)     - x if x >= alpha else 0\n\n  ScaledTanh(x)          - alpha*Tanh(beta*x)\n\n  HardSigmoid(x)         - min(max(alpha*x + beta, 0), 1)\n\n  Elu(x)                 - x if x >= 0 else alpha*(e^x - 1)\n\n  Softsign(x)            - x/(1 + |x|)\n\n  Softplus(x)            - log(1 + e^x)\n\nEquations (Default: f=Sigmoid, g=Tanh, h=Tanh):\n\n  - it = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Pi (.) Ct-1 + Wbi + Rbi)\n\n  - ft = f(Xt*(Wf^T) + Ht-1*(Rf^T) + Pf (.) Ct-1 + Wbf + Rbf)\n\n  - ct = g(Xt*(Wc^T) + Ht-1*(Rc^T) + Wbc + Rbc)\n\n  - Ct = ft (.) Ct-1 + it (.) ct\n\n  - ot = f(Xt*(Wo^T) + Ht-1*(Ro^T) + Po (.) Ct + Wbo + Rbo)\n\n  - Ht = ot (.) h(Ct)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+input: "X"
+output: "Y"
+name: "LabelEncoder"
+op_type: "LabelEncoder"
+attribute {
+  name: "default_float"
+  f: -0.0
+  type: FLOAT
+}
+attribute {
+  name: "default_int64"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "default_string"
+  s: "_Unused"
+  type: STRING
+}
+attribute {
+  name: "keys_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "keys_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keys_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "values_floats"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "values_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "values_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Maps each element in the input tensor to another value.
        \n    The mapping is determined by the two parallel attributes, \'keys_*\' and\n    \'values_*\' attribute. The i-th value in the specified \'keys_*\' attribute\n    would be mapped to the i-th value in the specified \'values_*\' attribute. It\n    implies that input\'s element type and the element type of the specified\n    \'keys_*\' should be identical while the output type is identical to the\n    specified \'values_*\' attribute. If an input element can not be found in the\n    specified \'keys_*\' attribute, the \'default_*\' that matches the specified\n    \'values_*\' attribute may be used as its output value.
        \n    Let\'s consider an example which maps a string tensor to an integer tensor.\n    Assume and \'keys_strings\' is [\"Amy\", \"Sally\"], \'values_int64s\' is [5, 6],\n    and \'default_int64\' is \'-1\'.  The input [\"Dori\", \"Amy\", \"Amy\", \"Sally\",\n    \"Sally\"] would be mapped to [-1, 5, 5, 6, 6].
        \n    Since this operator is an one-to-one mapping, its input and output shapes\n    are the same. Notice that only one of \'keys_*\'/\'values_*\' can be set.
        \n    For key look-up, bit-wise comparison is used so even a float NaN can be\n    mapped to a value in \'values_*\' attribute.
        \n"
+--
+input: "X"
+output: "Y"
+name: "LeakyRelu"
+op_type: "LeakyRelu"
+attribute {
+  name: "alpha"
+  f: 0.01
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nLeakyRelu takes input data (Tensor) and an argument alpha, and produces one\noutput data (Tensor) where the function `f(x) = alpha * x for x < 0`,\n`f(x) = x for x >= 0`, is applied to the data tensor elementwise.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Less"
+op_type: "Less"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `less` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "LessOrEqual"
+op_type: "LessOrEqual"
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `less_equal` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+output: "Z"
+name: "LinearClassifier"
+op_type: "LinearClassifier"
+attribute {
+  name: "classlabels_ints"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "intercepts"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "multi_class"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Linear classifier\n"
+--
+input: "X"
+output: "Y"
+name: "LinearRegressor"
+op_type: "LinearRegressor"
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "intercepts"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "targets"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Generalized linear regression evaluation.
        \n    If targets is set to 1 (default) then univariate regression is performed.
        \n    If targets is set to M then M sets of coefficients must be passed in as a sequence\n    and M results will be output for each input n in N.
        \n    The coefficients array is of length n, and the coefficients for each target are contiguous.\n    Intercepts are optional but if provided must match the number of targets.\n"
+--
+input: "input"
+output: "output"
+name: "Log"
+op_type: "Log"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the natural log of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "LogSoftmax"
+op_type: "LogSoftmax"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe operator computes the logsoftmax (log of softmax) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the logsoftmax values of the corresponding input.\n"
+--
+input: "M"
+input: "cond"
+input: "v_initial"
+output: "v_final_and_scan_outputs"
+name: "Loop"
+op_type: "Loop"
+attribute {
+  name: "body"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "M-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "cond-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "v_initial-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGeneric Looping construct. This loop has multiple termination conditions:\n\n1) Trip count. Iteration count specified at runtime. Set by\n   specifying the input M. Optional. Set to empty string to omit.\n   Note that a static trip count (specified at graph construction time) can be\n   specified by passing in a constant node for input M.\n2) Loop termination condition. This is an input to the op that determines\n   whether to run the first iteration and also a loop-carried dependency for\n   the body graph. The body graph must yield a value for the condition variable,\n   whether this input is provided or not.\n\nThis table summarizes the operating modes of this operator with equivalent\nC-style code:\n\n    Operator inputs defined as (max_trip_count, condition_var).\n\n    input (\"\", \"\"):\n        for (int i=0; ; ++i) {\n          cond = ... // Note this value is ignored, but is required in the body\n        }\n\n    input (\"\", cond) // Note this is analogous to a while loop\n        bool cond = ...;\n        for (int i=0; cond; ++i) {\n          cond = ...;\n        }\n\n    input (\"\", 1) // Note this is analogous to a do-while loop\n        bool cond = true\n        for (int i=0; cond; ++i) {\n          cond = ...;\n        }\n\n    input (trip_count, \"\") // Note this is analogous to a for loop\n        int trip_count = ...\n        for (int i=0; i < trip_count; ++i) {\n          cond = ...; // ignored\n        }\n\n    input (trip_count, cond)\n        int trip_count = ...;\n        bool cond = ...;\n        for (int i=0; i < trip_count && cond; ++i) {\n          cond = ...;\n        }\n\n\n*Sample usage - cond as well as trip count*\n\n    graph predict-net {\n      %a = Constant[value = ]()\n      %b = Constant[value = ]()\n      %keepgoing = Constant[value = ]()\n      %max_trip_count = Constant[value = ]()\n      %keepgoing_out, %b_out, %user_defined_vals = Loop[body = ](%max_trip_count, %keepgoing, %b)\n      return\n    }\n\n    graph body-net (\n      %i[INT32, scalar]           // iteration number\n      %keepgoing_in[BOOL, scalar] // incoming loop-termination-condition; not used\n      %b_in[INT32, scalar]        // incoming value of loop-carried-dependency b\n    ) {\n      %my_local = Add(%a, %b_in)\n      %b_out = Sub(%a, %b_in) // outgoing value of loop-carried-dependency b\n      %keepgoing_out = Greater(%my_local, %b_out) // outgoing loop-termination-condition\n      %user_defined_val = Add(%b_in, %b_in) // scan-output value to be accumulated\n      return %keepgoing_out, %b_out, %user_defined_val\n    }\n\n*Sample equivalent C code*\n\n    {\n      /* User-defined code (enclosing scope) */\n      int a = 3, b = 6;\n      bool keepgoing = true; // Analogous to input cond\n      /* End user-defined code */\n\n      /* Implicitly-defined code */\n      const int max_trip_count = 10; // Analogous to input M\n      int user_defined_vals[]; // Imagine this is resizable\n      /* End implicitly-defined code */\n      /* initialize loop-carried variables and scan-output variables */\n      bool keepgoing_out = keepgoing\n      int b_out = b\n\n      for (int i=0; i < max_trip_count && keepgoing_out; ++i) {\n        /* Implicitly-defined code: bind actual parameter values\n           to formal parameter variables of loop-body */\n        bool keepgoing_in = keepgoing_out; \n        bool b_in = b_out;\n\n        /* User-defined code (loop body) */\n        int my_local = a + b_in; // Reading value \"a\" from the enclosing scope is fine\n        b_out = a - b_in;\n        keepgoing_out = my_local > b_out; \n        user_defined_val = b_in + b_in; // b_in and b_out are different variables\n        /* End user-defined code */\n\n        /* Implicitly defined-code */\n        user_defined_vals[i] = user_defined_val // accumulate scan-output values\n      }\n      // int t = my_local; // Can\'t do this. my_local is not accessible here.\n\n      // The values below are bound to the output variables of the loop and therefore accessible\n      // b_out; user_defined_vals; keepgoing_out;\n    }\n\nThere are several things of note in this code snippet:\n\n1) Values from the enclosing scope (i.e. variable \"a\" here) are in scope and can\n   be referenced in the inputs of the loop.\n2) Any values computed in the loop body that needs to be used in a subsequent\n   iteration or after the loop are modelled using a pair of variables in the loop-body,\n   consisting of an input variable (eg., b_in) and an output variable (eg., b_out).\n   These are referred to as loop-carried dependences. The loop operation node\n   supplies the input value of the input variable for the first iteration, and\n   returns the output value of the output variable produced by the final\n   iteration.\n3) Scan_output variables are used to implicitly concatenate values computed across\n   all the iterations. In the above example, the value of user_defined_val computed\n   over all iterations are concatenated and returned as the value of user_defined_vals\n   after the loop.\n4) Values created in the body cannot be accessed in the enclosing scope,\n   except using the mechanism described above.\n\nNote that the semantics of this op support \"diagonal\" or \"wavefront\" execution.\n(See Step 3 here for an example:\nhttps://devblogs.nvidia.com/optimizing-recurrent-neural-networks-cudnn-5/).\nFrontends should emit multi-layer RNNs as a series of While operators (with\ntime being the inner looping dimension), with each successive layer consuming\nthe scan_outputs from the previous layer, possibly going through several\npoint-wise operators (e.g. dropout, residual connections, linear layer).\n"
+--
+input: "input"
+output: "output"
+name: "LpNormalization"
+op_type: "LpNormalization"
+attribute {
+  name: "axis"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "p"
+  i: 2
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nGiven a matrix, apply Lp-normalization along the provided axis.\n"
+--
+input: "X"
+output: "Y"
+name: "LpPool"
+op_type: "LpPool"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "p"
+  i: 2
+  type: INT
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n LpPool consumes an input tensor X and applies Lp pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n Lp pooling consisting of computing the Lp norm on all values of a subset\n of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing."
+--
+input: "A"
+input: "B"
+output: "Y"
+name: "MatMul"
+op_type: "MatMul"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html\n"
+--
+input: "A"
+input: "B"
+input: "a_zero_point"
+input: "b_zero_point"
+output: "Y"
+name: "MatMulInteger"
+op_type: "MatMulInteger"
+attribute {
+  name: "A-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "a_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "b_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nThe production MUST never overflow. The accumulation may overflow if and only if in 32 bits.\n"
+--
+input: "data_0"
+output: "max"
+name: "Max"
+op_type: "Max"
+attribute {
+  name: "data_0-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nElement-wise max of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+output: "Indices"
+name: "MaxPool"
+op_type: "MaxPool"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "ceil_mode"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "storage_order"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n MaxPool consumes an input tensor X and applies max pooling across\n the tensor according to kernel sizes, stride sizes, and pad lengths.\n max pooling consisting of computing the max on all values of a\n subset of the input tensor according to the kernel size and downsampling the\n data into the output tensor Y for further processing. The output spatial shape will be following:\n ```\n output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n or\n ```\n output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1)) / strides_spatial_shape[i] + 1)\n ```\n if ceil_mode is enabled\n\n ```\n * pad_shape[i] is sum of pads along axis i\n ```\n\n `auto_pad` is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:\n ```\n VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) + 1) / strides_spatial_shape[i])\n SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])\n ```\n And pad shape will be following if `SAME_UPPER` or `SAME_LOWER`:\n ```\n pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + ((kernel_spatial_shape[i] - 1) * dilations[i] + 1) - input_spatial_shape[i]\n ```\n The output of each pooling window is maximum number of elements exclude pad. \n "
+--
+input: "X"
+input: "rois"
+output: "Y"
+name: "MaxRoiPool"
+op_type: "MaxRoiPool"
+attribute {
+  name: "pooled_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "spatial_scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "rois-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n ROI max pool consumes an input tensor X and region of interests (RoIs) to\n apply max pooling across each RoI, to produce output 4-D tensor of shape\n (num_rois, channels, pooled_shape[0], pooled_shape[1])."
+--
+input: "X"
+input: "I"
+input: "output_shape"
+output: "output"
+name: "MaxUnpool"
+op_type: "MaxUnpool"
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "I-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "output_shape-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nMaxUnpool essentially computes the partial inverse of the MaxPool op.\n The input information to this op is typically the the output information from a MaxPool op. The first\n input tensor X is the tensor that needs to be unpooled, which is typically the pooled tensor (first output)\n from MaxPool. The second input tensor, I, contains the indices to the (locally maximal) elements corrsponding\n to the elements in the first input tensor X. Input tensor I is typically the second output of the MaxPool op.\n The third (optional) input is a tensor that specifies the output size of the unpooling operation.\n\nMaxUnpool is intended to do \'partial\' inverse of the MaxPool op. \'Partial\' because all the non-maximal\n values from the original input to MaxPool are set to zero in the output of the MaxUnpool op. Pooling\n the result of an unpooling operation should give back the original input to the unpooling op.\n\nMaxUnpool can produce the same output size for several input sizes, which makes unpooling op ambiguous.\n The third input argument, output_size, is meant to disambiguate the op and produce output tensor of\n known/predictable size.\n\nIn addition to the inputs, MaxUnpool takes three attributes, namely kernel_shape, strides, and pads,\n which define the exact unpooling op. The attributes typically have the same values as the corrsponding\n pooling op that the unpooling op is trying to invert.\n"
+--
+input: "data_0"
+output: "mean"
+name: "Mean"
+op_type: "Mean"
+attribute {
+  name: "data_0-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nElement-wise mean of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Y"
+name: "MeanVarianceNormalization"
+op_type: "MeanVarianceNormalization"
+attribute {
+  name: "axes"
+  ints: 0
+  ints: 2
+  ints: 3
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\n      A MeanVarianceNormalization Function: Perform mean variance normalization\n      on the input tensor X using formula: 
         ``` (X-EX)/sqrt(E(X-EX)^2) ```\n"
+--
+input: "data_0"
+output: "min"
+name: "Min"
+op_type: "Min"
+attribute {
+  name: "data_0-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nElement-wise min of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Mod"
+op_type: "Mod"
+attribute {
+  name: "fmod"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "A-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n  Performs element-wise binary modulus (with Numpy-style broadcasting support). \n    The sign of the remainder is the same as that of the Divisor.\n  \n    Mod operator can also behave like C fmod() or numpy.fmod. In this case, the sign of the remainder however, will be the same as the Dividend \n    (in contrast to integer mod). To force a behavior like numpy.fmod() an \'fmod\' Attribute is provided.\n    This attribute is set to 0 by default causing the behavior to be like integer mod. \n    Setting this attribute to 1 causes the remainder to be calculated similar to that of numpy.fmod().\n\n    If the input type is floating point, then `fmod` attribute must be set to 1.\n  \n    In case of dividend being zero, the results will be platform dependent.\n\n  This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "R"
+input: "T"
+input: "inputs"
+output: "outputs"
+name: "Momentum"
+op_type: "Momentum"
+attribute {
+  name: "alpha"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "beta"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "mode"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "norm_coefficient"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "T-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "inputs-types"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Compute one iteration of stochastic gradient update with momentum.\n    This operator can conduct the optimization of multiple tensor variables.\n\n    Let\'s define the behavior of this operator. As you can imagine, SG with momentum requires\n    several parameters:\n     \n     - The learning-rate \"R\".\n     - The update count \"T\". That is, the number of conducted training iterations. It should\n       be zero in the first training iteration.\n     - A L2-norm regularization coefficient \"norm_coefficient\".\n     - A decay coefficient of previous accumulated gradient (i.e., momentum) \"alpha\".\n     - The scaling coefficient of current gradient \"beta\".\n     - An attribute to choose either standard momentum or Nesterov\'s momentum \"mode\" should\n       be used.\n\n    For the sake of simplicity, assume that there is only one tensor (called \"X\") to be optimized.\n    Other necessary inputs are \"X\"\'s gradient (called \"G\") and \"X\"\'s momentum (called \"V\"). This\n    Momentum operator maps all these inputs to the new value of \"X\" (called \"X_new\") and its new\n    momentum (called \"V_new\").\n    \n    This operator supports two different momentum algorithms. Set the attribute \"mode\" to\n    \"nesterov\" if Nesterov\'s momentum is desired. Otherwise, set the attribute \"model\" to\n    \"standard\" to use standard momentum. Computation details are described subsequently.\n\n    Let \"+\", \"-\", \"*\", and \"/\" are all element-wise operations with numpy-style broadcasting.\n\n    Pseudo code for SG with standard momentum:\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n      // values of all elements in X.\n      G_regularized = norm_coefficient * X + G\n\n      // In the first training iteration, beta should always be 1.\n      beta_adjusted = T > 0 ? beta : 1\n\n      // Compute the current momentum based on previous momentum and the current gradient.\n      V_new = alpha * V + beta_adjusted * G_regularized\n\n      // Update X.\n      X_new = X - R * V_new\n\n    Pseudo code for SG with Nesterov\'s momentum:\n\n      // Add gradient of 0.5 * norm_coefficient * ||X||^2, where ||X|| is the sum of squared\n      // values of all elements in X.\n      G_regularized = norm_coefficient * X + G;\n\n      // In the first training iteration, beta should always be 1.\n      beta_adjusted = T > 0 ? beta : 1\n\n      // Compute the current momentum based on previous momentum and the current gradient.\n      V_new = alpha * V + beta_adjusted * G_regularized;\n\n      // Compute final update direction and then update X.\n      X_new = X - R * (G_regularized + alpha * V_new)\n\n    If one assign this operators to optimize multiple inputs, for example, \"X_1\" and \"X_2\". The same\n    pseudo code would be extended to handle all tensors jointly. More specifically, we can view \"X\" as a\n    concatenation of \"X_1\" and \"X_2\" (of course, their gradient and accumulate gradient should\n    be concatenated too) and then our pseudo code becomes applicable.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Mul"
+op_type: "Mul"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary multiplication (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "input"
+output: "output"
+name: "Multinomial"
+op_type: "Multinomial"
+attribute {
+  name: "dtype"
+  i: 6
+  type: INT
+}
+attribute {
+  name: "sample_size"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor of samples from a multinomial distribution according to the probabilities\nof each of the possible outcomes.\n"
+--
+input: "X"
+output: "Y"
+name: "Neg"
+op_type: "Neg"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "float"
+  strings: "double"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  type: STRINGS
+}
+doc_string: "\nNeg takes one input data (Tensor) and produces one output data\n(Tensor) where each element flipped sign, y = -x, is applied to\nthe tensor elementwise.\n"
+--
+input: "input"
+input: "target"
+input: "weight"
+output: "loss"
+name: "NegativeLogLikelihoodLoss"
+op_type: "NegativeLogLikelihoodLoss"
+attribute {
+  name: "ignore_index"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "reduction"
+  s: "mean"
+  type: STRING
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "target-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "weight-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nA NegativeLogLikelihoodLoss operator computes (weighted) negative log likelihood loss.\nIts \"input\" tensor has the shape of (N, C, d1, d2, ..., dk) where k >= 0.\nThe \"input\" tensor contains log-probabilities for input[n, :, d_1, d_2,..., d_k] being in a class of [0, C).\nThe operator\'s \"target\" input tensor has the shape of (N, d1, d2, ..., dk). It encodes class labels (one of C classes)\nor it may contain a special value (indicated by an attribute ignore_index) for N x d1 x d2 x ... x dk samples.\nThe loss value for input[n, :, d_1, d_2,...d_k] being classified as class c = target[n][d_1][d_2]...[d_k] is computed as:\n\n    loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k].\n\nWhen an optional \"weight\" is provided, the sample loss is calculated as:\n\n    loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k] * weight[c].\n\nloss is zero for the case when target-value equals ignore_index.\n    \n    loss[n][d_1][d_2]...[d_k] = 0, when target[n][d_1][d_2]...[d_k] = ignore_index\n\nIf \"reduction\" attribute is set to \"none\", the operator\'s output will be the above loss with shape (N, d1, d2, ..., dk).\nIf \"reduction\" attribute is set to \"mean\" (the default attribute value), the output loss is (weight) averaged:\n\n    mean(loss), if \"weight\" is not provided,\n\nor if weight is provided,\n\n    sum(loss) / sum(weight[target[n][d_1][d_2]...[d_k]]]), for all samples.\n\nIf \"reduction\" attribute is set to \"sum\", the output is a scalar:\n    sum(loss).\n\nSee also https://pytorch.org/docs/stable/nn.html#torch.nn.NLLLoss.\n\nExample 1:\n\n    // negative log likelihood loss, \"none\" reduction\n    N, C, d1 = 2, 3, 2\n    input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n             [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n    target = [[2, 1], [0, 2]]\n\n    loss = np.zeros((N, d1))\n    for n in range(N):\n        for d_1 in range(d1):\n            c = target[n][d_1]\n            loss[n][d_1] = -input[n][c][d_1]\n\n    // print(loss)\n    // [[-3. -2.]\n    //  [-0. -2.]]\n\nExample 2:\n\n    // weighted negative log likelihood loss, sum reduction\n    N, C, d1 = 2, 3, 2\n    input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n            [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n    target = [[2, 1], [0, 2]]\n    weight = [0.2, 0.3, 0.1]\n    loss = np.zeros((N, d1))\n    for n in range(N):\n        for d_1 in range(d1):\n            c = target[n][d_1]\n            loss[n][d_1] = -input[n][c][d_1] * weight[c]\n\n    loss = np.sum(loss)\n    // print(loss)\n    // -1.1\n\nExample 3:\n\n    // weighted negative log likelihood loss, mean reduction\n    N, C, d1 = 2, 3, 2\n    input = [[[1.0, 2.0], [2.0, 2.0], [3.0, 2.0]],\n            [[0.0, 1.0], [2.0, 2.0], [1.0, 2]]]\n    target = [[2, 1], [0, 2]]\n    weight = [0.2, 0.3, 0.1]\n    loss = np.zeros((N, d1))\n    weight_total = 0\n    for n in range(N):\n        for d_1 in range(d1):\n            c = target[n][d_1]\n            loss[n][d_1] = -input[n][c][d_1] * weight[c]\n            weight_total = weight_total + weight[c]\n\n    loss = np.sum(loss) / weight_total\n    // print(loss)\n    // -1.57\n"
+--
+input: "boxes"
+input: "scores"
+input: "max_output_boxes_per_class"
+input: "iou_threshold"
+input: "score_threshold"
+output: "selected_indices"
+name: "NonMaxSuppression"
+op_type: "NonMaxSuppression"
+attribute {
+  name: "center_point_box"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "boxes-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "scores-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "max_output_boxes_per_class-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "iou_threshold-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "score_threshold-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nFilter out boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.\nBounding boxes with score less than score_threshold are removed. Bounding box format is indicated by attribute center_point_box.\nNote that this algorithm is agnostic to where the origin is in the coordinate system and more generally is invariant to\northogonal transformations and translations of the coordinate system; thus translating or reflections of the coordinate system\nresult in the same boxes being selected by the algorithm.\nThe selected_indices output is a set of integers indexing into the input collection of bounding boxes representing the selected boxes.\nThe bounding box coordinates corresponding to the selected indices can then be obtained using the Gather or GatherND operation.\n"
+--
+input: "X"
+output: "Y"
+name: "NonZero"
+op_type: "NonZero"
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n    Returns the indices of the elements that are non-zero\n    (in row-major order - by dimension).\n    NonZero behaves similar to numpy.nonzero:\n    https://docs.scipy.org/doc/numpy/reference/generated/numpy.nonzero.html\n"
+--
+input: "X"
+output: "Y"
+name: "Normalizer"
+op_type: "Normalizer"
+attribute {
+  name: "norm"
+  s: "MAX"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Normalize the input.  There are three normalization modes, which have the corresponding formulas,\n    defined using element-wise infix operators \'/\' and \'^\' and tensor-wide functions \'max\' and \'sum\':
        \n
        \n    Max: Y = X / max(X)
        \n    L1:  Y = X / sum(X)
        \n    L2:  Y = sqrt(X^2 / sum(X^2)}
        \n    In all modes, if the divisor is zero, Y == X.\n
        \n    For batches, that is, [N,C] tensors, normalization is done along the C axis. In other words, each row\n    of the batch is normalized independently.\n"
+--
+input: "X"
+output: "Y"
+name: "Not"
+op_type: "Not"
+attribute {
+  name: "X-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the negation of the input tensor element-wise.\n"
+--
+input: "indices"
+input: "depth"
+input: "values"
+output: "output"
+name: "OneHot"
+op_type: "OneHot"
+attribute {
+  name: "axis"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "indices-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "depth-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "values-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n    Produces a one-hot tensor based on inputs.\n    The locations represented by the index values in the \'indices\' input tensor will have \'on_value\'\n    and the other locations will have \'off_value\' in the output tensor, where \'on_value\' and \'off_value\'\n    are specified as part of required input argument \'values\', which is a two-element tensor of format\n    [off_value, on_value]. The rank of the output tensor will be one greater than the rank of the\n    input tensor. The additional dimension is for one-hot representation. The additional dimension will\n    be inserted at the position specified by \'axis\'. If \'axis\' is not specified then then additional\n    dimension will be inserted as the innermost dimension, i.e. axis=-1. The size of the additional\n    dimension is specified by required scalar input \'depth\'. The type of the output tensor is the same\n    as the type of the \'values\' input. Any entries in the \'indices\' input tensor with values outside\n    the range [-depth, depth-1] will result in one-hot representation with all \'off_value\' values in the\n    output tensor.\n\n    when axis = 0:\n    output[input[i, j, k], i, j, k] = 1 for all i, j, k and 0 otherwise.\n\n    when axis = -1:\n    output[i, j, k, input[i, j, k]] = 1 for all i, j, k and 0 otherwise.\n\n"
+--
+input: "X"
+output: "Y"
+name: "OneHotEncoder"
+op_type: "OneHotEncoder"
+attribute {
+  name: "cats_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "cats_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "zeros"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "string"
+  strings: "double"
+  strings: "float"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\n    Replace each input element with an array of ones and zeros, where a single\n    one is placed at the index of the category that was passed in. The total category count \n    will determine the size of the extra dimension of the output array Y.
        \n    For example, if we pass a tensor with a single value of 4, and a category count of 8, \n    the output will be a tensor with ``[0,0,0,0,1,0,0,0]``.
        \n    This operator assumes every input feature is from the same set of categories.
        \n    If the input is a tensor of float, int32, or double, the data will be cast\n    to integers and the cats_int64s category list will be used for the lookups.\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Or"
+op_type: "Or"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `or` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+input: "slope"
+output: "Y"
+name: "PRelu"
+op_type: "PRelu"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "slope-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPRelu takes input data (Tensor) and slope tensor as input, and produces one\noutput data (Tensor) where the function `f(x) = slope * x for x < 0`,\n`f(x) = x for x >= 0`., is applied to the data tensor elementwise.\nThis operator supports **unidirectional broadcasting** (tensor slope should be unidirectional broadcastable to input tensor X); for more details please check [the doc](Broadcasting.md)."
+--
+input: "data"
+input: "pads"
+input: "constant_value"
+output: "output"
+name: "Pad"
+op_type: "Pad"
+attribute {
+  name: "mode"
+  s: "constant"
+  type: STRING
+}
+attribute {
+  name: "data-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "pads-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "constant_value-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGiven a tensor containing the data to be padded (`data`), a tensor containing the number of start and end pad values for axis (`pads`), (optionally) a `mode`, and (optionally) `constant_value`, \na padded tensor (`output`) is generated.\n\nThe three supported `modes` are (similar to corresponding modes supported by `numpy.pad`):\n\n1) `constant`(default) - pads with a given constant value as specified by `constant_value` (which defaults to 0)\n\n2) `reflect` - pads with the reflection of the vector mirrored on the first and last values of the vector along each axis\n\n3) `edge` - pads with the edge values of array\n\n\nExample 1 (`constant` mode):\n  Insert 0 pads to the beginning of the second dimension.\n\n  data = \n  [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ] \n\n  pads = [0, 2, 0, 0]\n\n  mode = \'constant\'\n\n  constant_value = 0.0\n\n  output = \n  [\n      [\n          [0.0, 0.0, 1.0, 1.2],\n          [0.0, 0.0, 2.3, 3.4],\n          [0.0, 0.0, 4.5, 5.7],\n      ],\n  ]\n\n\nExample 2 (`reflect` mode):\n  data = \n  [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ] \n\n  pads = [0, 2, 0, 0]\n\n  mode = \'reflect\'\n\n  output = \n  [\n      [\n          [1.0, 1.2, 1.0, 1.2],\n          [2.3, 3.4, 2.3, 3.4],\n          [4.5, 5.7, 4.5, 5.7],\n      ],\n  ]\n\n\nExample 3 (`edge` mode):\n  data = \n  [\n      [1.0, 1.2],\n      [2.3, 3.4],\n      [4.5, 5.7],\n  ] \n\n  pads = [0, 2, 0, 0]\n\n  mode = \'edge\'\n\n  output = \n  [\n      [\n          [1.0, 1.0, 1.0, 1.2],\n          [2.3, 2.3, 2.3, 3.4],\n          [4.5, 4.5, 4.5, 5.7],\n      ],\n  ]\n\n"
+--
+input: "X"
+input: "Y"
+output: "Z"
+name: "Pow"
+op_type: "Pow"
+attribute {
+  name: "X-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nPow takes input data (Tensor) and exponent Tensor, and\nproduces one output data (Tensor) where the function `f(x) = x^exponent`,\nis applied to the data tensor elementwise.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md)."
+--
+input: "x"
+input: "x_scale"
+input: "x_zero_point"
+input: "w"
+input: "w_scale"
+input: "w_zero_point"
+input: "y_scale"
+input: "y_zero_point"
+input: "B"
+output: "y"
+name: "QLinearConv"
+op_type: "QLinearConv"
+attribute {
+  name: "auto_pad"
+  s: "NOTSET"
+  type: STRING
+}
+attribute {
+  name: "dilations"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "group"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "kernel_shape"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pads"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "strides"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "x-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "x_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "x_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "w_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "w_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "y_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nThe convolution operator consumes a quantized input tensor, its scale and zero point,\na quantized filter, its scale and zero point, and output\'s scale and zero point,\nand computes the quantized output. Each scale and zero-point pair must have same shape.\nIt means they must be either scalars (per tensor) or 1-D tensors (per output channel).\nEach input or output and its related zero point must have same type.\nWhen bias is present it must be quantized using scale = input scale * weight scale and \nzero point as 0.\n"
+--
+input: "a"
+input: "a_scale"
+input: "a_zero_point"
+input: "b"
+input: "b_scale"
+input: "b_zero_point"
+input: "y_scale"
+input: "y_zero_point"
+output: "y"
+name: "QLinearMatMul"
+op_type: "QLinearMatMul"
+attribute {
+  name: "a-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "a_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "a_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "b-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "b_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "b_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "y_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nMatrix product that behaves like numpy.matmul: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matmul.html.\nIt consumes two quantized input tensors, their scales and zero points, scale and zero point of output, and computes the quantized output.\nThe quantization formula is y = saturate((x / y_scale) + y_zero_point). For (x / y_scale), it is rounding to nearest ties to even.\nRefer to https://en.wikipedia.org/wiki/Rounding for details. Scale and zero point must have same shape.\nThey must be either scalar (per tensor) or 1-D tensor (per row for \'a\' and per column for \'b\'). If scale and zero point are 1-D tensor,\nthe number of elements of scale and zero point tensor of input \'a\' and output \'y\' should be equal to the number of rows of input \'a\',\nand the number of elements of scale and zero point tensor of input \'b\' should be equal to the number of columns of input \'b\'.\nProduction must never overflow, and accumulation may overflow if and only if in 32 bits.\n"
+--
+input: "x"
+input: "y_scale"
+input: "y_zero_point"
+output: "y"
+name: "QuantizeLinear"
+op_type: "QuantizeLinear"
+attribute {
+  name: "x-types"
+  strings: "int32"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_scale-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "y_zero_point-types"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThe linear per-tensor/layer quantization operator. It consumes a high precision tensor, a scale, a zero point to compute the low precision / quantized tensor.\nThe quantization formula is y = saturate ((x / y_scale) + y_zero_point). For saturation, it saturates to [0, 255] if it\'s uint8, or [-128, 127] if it\'s int8.\nFor (x / y_scale), it\'s rounding to nearest ties to even. Refer to https://en.wikipedia.org/wiki/Rounding for details. \'y_zero_point\' and \'y\' must have same type.\n"
+--
+input: "X"
+input: "W"
+input: "R"
+input: "B"
+input: "sequence_lens"
+input: "initial_h"
+output: "Y"
+output: "Y_h"
+name: "RNN"
+op_type: "RNN"
+attribute {
+  name: "activation_alpha"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activation_beta"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "activations"
+  strings: "Tanh"
+  strings: "Tanh"
+  type: STRINGS
+}
+attribute {
+  name: "clip"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "direction"
+  s: "forward"
+  type: STRING
+}
+attribute {
+  name: "hidden_size"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "W-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "R-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "initial_h-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nComputes an one-layer simple RNN. This operator is usually supported\nvia some custom implementation such as CuDNN.\n\nNotations:\n\n`X` - input tensor\n\n`i` - input gate\n\n`t` - time step (t-1 means previous time step)\n\n`Wi` - W parameter weight matrix for input gate\n\n`Ri` - R recurrence weight matrix for input gate\n\n`Wbi` - W parameter bias vector for input gate\n\n`Rbi` - R parameter bias vector for input gate\n\n`WBi` - W parameter weight matrix for backward input gate\n\n`RBi` - R recurrence weight matrix for backward input gate\n\n`WBbi` - WR bias vectors for backward input gate\n\n`RBbi` - RR bias vectors for backward input gate\n\n`H` - Hidden state\n\n`num_directions` - 2 if direction == bidirectional else 1\n\nActivation functions:\n\n  Relu(x)                - max(0, x)\n\n  Tanh(x)                - (1 - e^{-2x})/(1 + e^{-2x})\n\n  Sigmoid(x)             - 1/(1 + e^{-x})\n\n  (NOTE: Below are optional)\n\n  Affine(x)              - alpha*x + beta\n\n  LeakyRelu(x)           - x if x >= 0 else alpha * x\n\n  ThresholdedRelu(x)     - x if x >= alpha else 0\n\n  ScaledTanh(x)          - alpha*Tanh(beta*x)\n\n  HardSigmoid(x)         - min(max(alpha*x + beta, 0), 1)\n\n  Elu(x)                 - x if x >= 0 else alpha*(e^x - 1)\n\n  Softsign(x)            - x/(1 + |x|)\n\n  Softplus(x)            - log(1 + e^x)\n\nEquations (Default: f=Tanh):\n\n  - Ht = f(Xt*(Wi^T) + Ht-1*(Ri^T) + Wbi + Rbi)\nThis operator has **optional** inputs/outputs. See [the doc](IR.md) for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument\'s name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.\n"
+--
+output: "output"
+name: "RandomNormal"
+op_type: "RandomNormal"
+attribute {
+  name: "dtype"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "mean"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "shape"
+  s: ""
+  type: INTS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a normal distribution. The shape\nof the tensor is specified by the `shape` argument and the parameter of the normal distribution\nspecified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n"
+--
+input: "input"
+output: "output"
+name: "RandomNormalLike"
+op_type: "RandomNormalLike"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "mean"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a normal distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the normal distribution are specified by `mean` and `scale`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message, and be valid as an output type.\n"
+--
+output: "output"
+name: "RandomUniform"
+op_type: "RandomUniform"
+attribute {
+  name: "dtype"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "high"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "low"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "shape"
+  s: ""
+  type: INTS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution. The shape\nof the tensor is specified by the `shape` argument and the range by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument. The \'dtype\' argument must\nbe one of the data types specified in the \'DataType\' enum field in the\nTensorProto message.\n"
+--
+input: "input"
+output: "output"
+name: "RandomUniformLike"
+op_type: "RandomUniformLike"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "high"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "low"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "seed"
+  s: ""
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor with random values drawn from a uniform distribution.\nThe shape of the output tensor is copied from the shape of the input tensor,\nand the parameters of the uniform distribution are specified by `low` and `high`.\n\nThe data type is specified by the \'dtype\' argument, or copied from the input tensor if not provided.\nThe \'dtype\' argument must be one of the data types specified in the \'DataType\' enum field in the\nTensorProto message and be valid as an output type.\n"
+--
+input: "start"
+input: "limit"
+input: "delta"
+output: "output"
+name: "Range"
+op_type: "Range"
+attribute {
+  name: "start-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "int16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "limit-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "int16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "delta-types"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  strings: "int16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nGenerate a tensor containing a sequence of numbers that begin at `start` and extends by increments of `delta`\nup to `limit` (exclusive).\n\nThe number of elements in the output of range is computed as below-\n\n`number_of_elements = max( ceil( (limit - start) / delta ) , 0 )`\n\nThe pseudocode determining the contents of the output is shown below-\n\n`for(int i=0; i) and produces one output data\n(Tensor) where the reciprocal is, y = 1/x, is applied to\nthe tensor elementwise.\n"
+--
+input: "data"
+output: "reduced"
+name: "ReduceL1"
+op_type: "ReduceL1"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the L1 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceL2"
+op_type: "ReduceL2"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the L2 norm of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceLogSum"
+op_type: "ReduceLogSum"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the log sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceLogSumExp"
+op_type: "ReduceLogSumExp"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the log sum exponent of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceMax"
+op_type: "ReduceMax"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the max of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceMean"
+op_type: "ReduceMean"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the mean of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceMin"
+op_type: "ReduceMin"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nComputes the min of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceProd"
+op_type: "ReduceProd"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the product of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceSum"
+op_type: "ReduceSum"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the sum of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "data"
+output: "reduced"
+name: "ReduceSumSquare"
+op_type: "ReduceSumSquare"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nComputes the sum square of the input tensor\'s element along the provided axes. The resulted\ntensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then\nthe resulted tensor have the reduced dimension pruned.\n\nThe above behavior is similar to numpy, with the exception that numpy default keepdims to\nFalse instead of True."
+--
+input: "X"
+output: "Y"
+name: "Relu"
+op_type: "Relu"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = max(0, x), is applied to\nthe tensor elementwise.\n"
+--
+input: "data"
+input: "shape"
+output: "reshaped"
+name: "Reshape"
+op_type: "Reshape"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "shape-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nReshape the input tensor similar to numpy.reshape.\nFirst input is the data tensor, second input is a shape tensor which specifies the output shape. It outputs the reshaped tensor.\nAt most one dimension of the new shape can be -1. In this case, the value is\ninferred from the size of the tensor and the remaining dimensions. A dimension\ncould also be 0, in which case the actual dimension value is unchanged (i.e. taken\nfrom the input tensor)."
+--
+input: "X"
+input: "roi"
+input: "scales"
+input: "sizes"
+output: "Y"
+name: "Resize"
+op_type: "Resize"
+attribute {
+  name: "coordinate_transformation_mode"
+  s: "half_pixel"
+  type: STRING
+}
+attribute {
+  name: "cubic_coeff_a"
+  f: -0.75
+  type: FLOAT
+}
+attribute {
+  name: "exclude_outside"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "extrapolation_value"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "mode"
+  s: "nearest"
+  type: STRING
+}
+attribute {
+  name: "nearest_mode"
+  s: "round_prefer_floor"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "roi-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "scales-types"
+  strings: "float"
+  type: STRINGS
+}
+attribute {
+  name: "sizes-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nResize the input tensor. In general, it calculates every value in the output tensor as a weighted average of neighborhood (a.k.a. sampling locations) in the input tensor.\nEach dimension value of the output tensor is:\n  output_dimension = floor(input_dimension * (roi_end - roi_start) * scale) if input \\\"sizes\\\" is not specified.\n"
+--
+input: "input"
+input: "sequence_lens"
+output: "Y"
+name: "ReverseSequence"
+op_type: "ReverseSequence"
+attribute {
+  name: "batch_axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "time_axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "sequence_lens-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nReverse batch of sequences having different lengths specified by `sequence_lens`.\n\nFor each slice i iterating on batch axis, the operator reverses the first sequence_lens[i] elements on time axis,\nand copies elements whose index\'s beyond sequence_lens[i] to the output. So the output slice i contains reversed\nsequences on the first sequence_lens[i] elements, then have original values copied for the other elements.\n\nExample 1:\n  input = [[0.0, 4.0, 8.0,  12.0],\n           [1.0, 5.0, 9.0,  13.0],\n           [2.0, 6.0, 10.0, 14.0],\n           [3.0, 7.0, 11.0, 15.0]]\n  sequence_lens = [4, 3, 2, 1]\n  time_axis = 0\n  batch_axis = 1\n\n  output = [[3.0, 6.0, 9.0,  12.0],\n            [2.0, 5.0, 8.0,  13.0],\n            [1.0, 4.0, 10.0, 14.0],\n            [0.0, 7.0, 11.0, 15.0]]\n\nExample 2:\n  input = [[0.0,  1.0,  2.0,  3.0 ],\n           [4.0,  5.0,  6.0,  7.0 ],\n           [8.0,  9.0,  10.0, 11.0],\n           [12.0, 13.0, 14.0, 15.0]]\n  sequence_lens = [1, 2, 3, 4]\n  time_axis = 1\n  batch_axis = 0\n\n  output = [[0.0,  1.0,  2.0,  3.0 ],\n            [5.0,  4.0,  6.0,  7.0 ],\n            [10.0, 9.0,  8.0,  11.0],\n            [15.0, 14.0, 13.0, 12.0]]\n"
+--
+input: "X"
+input: "rois"
+input: "batch_indices"
+output: "Y"
+name: "RoiAlign"
+op_type: "RoiAlign"
+attribute {
+  name: "mode"
+  s: "avg"
+  type: STRING
+}
+attribute {
+  name: "output_height"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "output_width"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "sampling_ratio"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "spatial_scale"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "rois-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "batch_indices-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nRegion of Interest (RoI) align operation described in the\n[Mask R-CNN paper](https://arxiv.org/abs/1703.06870).\nRoiAlign consumes an input tensor X and region of interests (rois)\nto apply pooling across each RoI; it produces a 4-D tensor of shape\n(num_rois, C, output_height, output_width).\n\nRoiAlign is proposed to avoid the misalignment by removing\nquantizations while converting from original image into feature\nmap and from feature map into RoI feature; in each ROI bin,\nthe value of the sampled locations are computed directly\nthrough bilinear interpolation.\n"
+--
+input: "X"
+output: "Y"
+name: "Round"
+op_type: "Round"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nRound takes one input Tensor and rounds the values, element-wise, meaning\nit finds the nearest integer for each value.\nIn case of halfs, the rule is to round them to the nearest even integer.\nThe output tensor has the same shape and type as the input.\n\nExamples:\n```\nround([0.9]) = [1.0]\nround([2.5]) = [2.0]\nround([2.3]) = [2.0]\nround([1.5]) = [2.0]\nround([-4.5]) = [-4.0]\n```\n"
+--
+input: "X"
+output: "Y"
+output: "Z"
+name: "SVMClassifier"
+op_type: "SVMClassifier"
+attribute {
+  name: "classlabels_ints"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_params"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_type"
+  s: "LINEAR"
+  type: STRING
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "prob_a"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "prob_b"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "rho"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "support_vectors"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "vectors_per_class"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Support Vector Machine classifier\n"
+--
+input: "X"
+output: "Y"
+name: "SVMRegressor"
+op_type: "SVMRegressor"
+attribute {
+  name: "coefficients"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_params"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "kernel_type"
+  s: "LINEAR"
+  type: STRING
+}
+attribute {
+  name: "n_supports"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "one_class"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "rho"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "support_vectors"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Support Vector Machine regression prediction and one-class SVM anomaly detection.\n"
+--
+input: "X"
+output: "Y"
+name: "Scaler"
+op_type: "Scaler"
+attribute {
+  name: "offset"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "scale"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Rescale input data, for example to standardize features by removing the mean and scaling to unit variance.\n"
+--
+input: "initial_state_and_scan_inputs"
+output: "final_state_and_scan_outputs"
+name: "Scan"
+op_type: "Scan"
+attribute {
+  name: "body"
+  s: ""
+  type: GRAPH
+}
+attribute {
+  name: "num_scan_inputs"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "scan_input_axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "scan_input_directions"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "scan_output_axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "scan_output_directions"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "initial_state_and_scan_inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nScan can be used to iterate over one or more scan_input tensors,\nconstructing zero or more scan_output tensors. It combines ideas from general recurrences,\nfunctional programming constructs such as scan, fold, map, and zip and is intended to enable\ngeneralizations of RNN-like constructs for sequence-to-sequence processing.\nOther tensors (referred to as state_variables here) can be used to carry a state\nwhen iterating from one element to another (similar to hidden-state in RNNs, also referred\nto as loop-carried dependences in the context of loops).\nMany common usages involve a single scan_input tensor (where functionality\nsimilar to scan, fold and map can be obtained). When more than one scan_input is used,\na behavior similar to zip is obtained.\n\nThe attribute body must be a graph, specifying the computation to be performed in\nevery iteration. It takes as input the current values of the state_variables and\nthe current iterated element of the scan_inputs. It must return the (updated) values\nof the state_variables and zero or more scan_output_element tensors. The values of the\nscan_output_element tensors are concatenated over all the iterations to produce the\nscan_output values of the scan construct (similar to the concatenated intermediate\nhidden-state values of RNN-like constructs). All the output tensors (state_variables as\nwell as scan_output_element tensors) are required to have the same shape in each iteration\nof the loop (a restriction imposed to enable efficient memory allocation).\n\nNote that the iterated element passed to the body subgraph does not have a sequence\naxis. It will have a rank one less than the rank of the corresponding scan_input.\n\nThe scan operation returns the final values of the state_variables as well as the\nscan_outputs.\n\nThe optional attribute scan_input_directions specifies the direction (forward or backward)\nfor each scan input. If this attribute is omitted, all sequences are scanned in the forward\ndirection. A bidirectional scan may be performed by specifying the same tensor input twice\nin the scan_inputs, once with a forward direction, and once with a backward direction.\n\nThe scan_output of the operation is produced by concatenating the scan_output_element\nvalues produced by the body in each iteration.  The optional attribute scan_output_directions\nspecifies the direction in which scan_output is constructed (by appending or prepending the\nscan_output_element to scan_output in each iteration) for each scan_output. If this attribute\nis omitted, the scan_output_element is appended to the scan_output in each iteration.\n\nThe optional attribute scan_input_axes specifies the axis to be scanned for each scan_input.\nIf omitted, every scan_input will be scanned in axis 0. For example, if axis 0 is the\nbatch axis and axis 1 is the time axis (to be scanned), specify an axis value of 1.\nNote that scanning a non-zero axis may be less efficient than scanning axis zero.\n\nThe optional attribute scan_output_axes specifies the axis along which the scan_outputs\nare accumulated for each scan_output. For example, if axis 1 is the time axis (to be\nscanned) for both inputs and outputs, specify a scan_input axis and scan_output axis\nvalue of 1.\n\nNote that because of the ONNX restriction that only the last parameter of an operator can\nbe variadic, the initial-states and scan-inputs are listed together as one input parameter.\nSimilarly, the final-states and scan-outputs are listed together as one output parameter.\nThe attribute num_scan_inputs indicates the number M of scan-inputs.\n\nThe behavior of\n\n    Scan <\n        num_scan_inputs = m,\n        body = loop-body,\n        scan_input_axes = [axis_1, ..., axis_m]\n    > (init_1, ..., init_n, scan_1, ..., scan_m)\n\nis equivalent to the following pseudo-code:\n\n    // scan_i.shape[axis_i] denotes the (max) sequence-length of scan_i\n    // scan_i.shape[axis_i] is required to be equal to scan_j.shape[axis_j] for all i,j.\n    sequence_length = scan_1.shape[axis_1];\n\n    // initialize state-variables\n    st_1 = init_1; ... st_n = init_n;\n    // initialize scan-output variables: [] denotes an empty tensor\n    scan_out_1 = []; ...; scan_out_k = [];\n    // identify number of iterations:\n\n    // execute loop\n    for (int t = 0; t < sequence_length; ++t) {\n        // generate the scan-input elements: the notation T[t] indicates the sub-tensor\n        // of rank one less than T obtained by indexing T at position t along axis k.\n        si_1 = scan_1[t];\n        ... ;\n        si_m = scan_m[t];\n        // execute loop-body\n        st_1, ..., st_n, so_1, ..., so_k = loop-body(st_1, ..., st_n, si_1, ..., si_m)\n        // accumulate the scan-output elements\n        scan_out_1 = Concat(scan_out_1, so_1); ... ; scan_out_k = Concat(scan_out_k, so_k);\n    }\n\n    return st_1, ..., st_n, scan_out_1, ..., scan_out_k;\n\n*Sample usage: Encoding RNN using a Scan*\n\nThe following example shows how a simple RNN over an input tensor %X, with weight tensor %Wi,\nrecurrence weight tensor %Ri, bias tensors %Wbi and %Rbi, and initial hidden-state %H_0 can\nbe encoded as a ScanLoop. Note that the loop-body is a nested graph, and it directly computes\n%Wi, %Ri, %Wbi, and %Rbi (typically constants or initializers in the body graph). If these\nvalues are computed in the outer graph, they need to be passed in as extra state_variables.\n\n    graph rnn-encoding {\n      %H_0 = ... \n      %X = ...\n      %Y_h, %Y = Scan[body = , num_scan_inputs=1](%H_0, %X)\n      return %Y, %Y_h\n    }\n\n    graph rnn-cell-1 (\n      %H_tminus1[FLOAT, tensor]\n      %X_t[FLOAT, tensor]\n    ) {\n      %Wi = ...\n      %Ri = ...\n      %Wbi = ...\n      %Rbi = ...\n      %t1 = X_t * (Wi^T)\n      %t2 = H_tminus1*(Ri^T)\n      %t3 = Add(%t1, %t2)\n      %t4 = Add(%t3, %Wbi)\n      %t5 = Add(%t4, %Rbi)\n      %Ht = Tanh(%t5)\n      %Accumulate = Identity(%Ht)\n      return %Ht, %Accumulate\n    }\n\n"
+--
+input: "data"
+input: "indices"
+input: "updates"
+output: "output"
+name: "Scatter"
+op_type: "Scatter"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "updates-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nThis operator is deprecated. Please use ScatterElements, which provides the same functionality.\n\nScatter takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n  output[indices[i][j]][j] = updates[i][j] if axis = 0, \n  output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n  data = [\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n  ]\n  indices = [\n      [1, 0, 2],\n      [0, 2, 1],\n  ]\n  updates = [\n      [1.0, 1.1, 1.2],\n      [2.0, 2.1, 2.2],\n  ]\n  output = [\n      [2.0, 1.1, 0.0]\n      [1.0, 0.0, 2.2]\n      [0.0, 2.1, 1.2]\n  ]\n```\nExample 2:\n```\n  data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n  indices = [[1, 3]]\n  updates = [[1.1, 2.1]]\n  axis = 1\n  output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n"
+--
+input: "data"
+input: "indices"
+input: "updates"
+output: "output"
+name: "ScatterElements"
+op_type: "ScatterElements"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "updates-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nScatterElements takes three inputs `data`, `updates`, and `indices` of the same\nrank r >= 1 and an optional attribute axis that identifies an axis of `data`\n(by default, the outer-most axis, that is axis 0). The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value\nto values specified by `updates` at specific index positions specified by\n`indices`. Its output shape is the same as the shape of `data`.\n\nFor each entry in `updates`, the target index in `data` is obtained by combining\nthe corresponding entry in `indices` with the index of the entry itself: the\nindex-value for dimension = axis is obtained from the value of the corresponding\nentry in `indices` and the index-value for dimension != axis is obtained from the\nindex of the entry itself.\n\nFor instance, in a 2-D tensor case, the update corresponding to the [i][j] entry\nis performed as below:\n```\n  output[indices[i][j]][j] = updates[i][j] if axis = 0, \n  output[i][indices[i][j]] = updates[i][j] if axis = 1,\n```\n\nThis operator is the inverse of GatherElements. It is similar to Torch\'s Scatter operation.\n\nExample 1:\n```\n  data = [\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n      [0.0, 0.0, 0.0],\n  ]\n  indices = [\n      [1, 0, 2],\n      [0, 2, 1],\n  ]\n  updates = [\n      [1.0, 1.1, 1.2],\n      [2.0, 2.1, 2.2],\n  ]\n  output = [\n      [2.0, 1.1, 0.0]\n      [1.0, 0.0, 2.2]\n      [0.0, 2.1, 1.2]\n  ]\n```\nExample 2:\n```\n  data = [[1.0, 2.0, 3.0, 4.0, 5.0]]\n  indices = [[1, 3]]\n  updates = [[1.1, 2.1]]\n  axis = 1\n  output = [[1.0, 1.1, 3.0, 2.1, 5.0]]\n```\n"
+--
+input: "data"
+input: "indices"
+input: "updates"
+output: "output"
+name: "ScatterND"
+op_type: "ScatterND"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "indices-types"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "updates-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nScatterND takes three inputs `data` tensor of rank r >= 1, `indices` tensor of rank q >= 1,\nand `updates` tensor of rank q + r - indices.shape[-1] - 1. The output of the operation\nis produced by creating a copy of the input `data`, and then updating its value to values\nspecified by `updates` at specific index positions specified by `indices`. Its output shape\nis the same as the shape of `data`. Note that `indices` should not have duplicate entries.\nThat is, two or more `updates` for the same index-location is not supported.\n\n`indices` is an integer tensor. Let k denote indices.shape[-1], the last dimension in the shape of `indices`.\n `indices` is treated as a (q-1)-dimensional tensor of k-tuples, where each k-tuple is a partial-index into `data`.\nHence, k can be a value at most the rank of `data`. When k equals rank(data), each update entry specifies an\nupdate to a single element of the tensor. When k is less than rank(data) each update entry specifies an\nupdate to a slice of the tensor.\n\n`updates` is treated as a (q-1)-dimensional tensor of replacement-slice-values. Thus, the\nfirst (q-1) dimensions of updates.shape must match the first (q-1) dimensions of indices.shape.\nThe remaining dimensions of `updates` correspond to the dimensions of the\nreplacement-slice-values. Each replacement-slice-value is a (r-k) dimensional tensor,\ncorresponding to the trailing (r-k) dimensions of `data`.  Thus, the shape of `updates`\nmust equal indices.shape[0:q-1] ++ data.shape[k:r-1], where ++ denotes the concatenation\nof shapes.\n\nThe `output` is calculated via the following equation:\n\n    output = np.copy(data)\n    update_indices = indices.shape[:-1]\n    for idx in np.ndindex(update_indices):\n        output[indices[idx]] = updates[idx]\n\nThe order of iteration in the above loop is not specified.\nIn particular, indices should not have duplicate entries: that is, if idx1 != idx2, then indices[idx1] != indices[idx2].\nThis ensures that the output value does not depend on the iteration order.\n\nThis operator is the inverse of GatherND.\n\nExample 1:\n```\n  data    = [1, 2, 3, 4, 5, 6, 7, 8]\n  indices = [[4], [3], [1], [7]]\n  updates = [9, 10, 11, 12]\n  output  = [1, 11, 3, 10, 9, 6, 7, 12]\n```\n\nExample 2:\n```\n  data    = [[[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n             [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n             [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]],\n             [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n  indices = [[0], [2]]\n  updates = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n             [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]]]\n  output  = [[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],\n             [[1, 2, 3, 4], [5, 6, 7, 8], [8, 7, 6, 5], [4, 3, 2, 1]],\n             [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]],\n             [[8, 7, 6, 5], [4, 3, 2, 1], [1, 2, 3, 4], [5, 6, 7, 8]]]\n```\n"
+--
+input: "X"
+output: "Y"
+name: "Selu"
+op_type: "Selu"
+attribute {
+  name: "alpha"
+  f: 1.6732632
+  type: FLOAT
+}
+attribute {
+  name: "gamma"
+  f: 1.050701
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSelu takes one input data (Tensor) and produces one output data\n(Tensor) where the scaled exponential linear unit function,\n`y = gamma * (alpha * e^x - alpha) for x <= 0`, `y = gamma * x for x > 0`,\nis applied to the tensor elementwise.\n"
+--
+input: "input_sequence"
+input: "position"
+output: "tensor"
+name: "SequenceAt"
+op_type: "SequenceAt"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+attribute {
+  name: "position-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nOutputs a tensor copy from the tensor at \'position\' in \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n"
+--
+input: "inputs"
+output: "output_sequence"
+name: "SequenceConstruct"
+op_type: "SequenceConstruct"
+attribute {
+  name: "inputs-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nConstruct a tensor sequence containing \'inputs\' tensors.\nAll tensors in \'inputs\' must have the same data type.\n"
+--
+output: "output"
+name: "SequenceEmpty"
+op_type: "SequenceEmpty"
+attribute {
+  name: "dtype"
+  s: ""
+  type: INT
+}
+doc_string: "\nConstruct an empty tensor sequence, with given data type.\n"
+--
+input: "input_sequence"
+input: "position"
+output: "output_sequence"
+name: "SequenceErase"
+op_type: "SequenceErase"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+attribute {
+  name: "position-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nOutputs a tensor sequence that removes the tensor at \'position\' from \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n - 1]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it erases the last tensor from \'input_sequence\'.\n"
+--
+input: "input_sequence"
+input: "tensor"
+input: "position"
+output: "output_sequence"
+name: "SequenceInsert"
+op_type: "SequenceInsert"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+attribute {
+  name: "tensor-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "position-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nOutputs a tensor sequence that inserts \'tensor\' into \'input_sequence\' at \'position\'.\n\'tensor\' must have the same data type as \'input_sequence\'.\nAccepted range for \'position\' is in `[-n, n]`, where `n` is the number of tensors in \'input_sequence\'.\nNegative value means counting positions from the back.\n\'position\' is optional, by default it inserts \'tensor\' to the back of \'input_sequence\'.\n"
+--
+input: "input_sequence"
+output: "length"
+name: "SequenceLength"
+op_type: "SequenceLength"
+attribute {
+  name: "input_sequence-types"
+  strings: "seq(float"
+  strings: "seq(uint32"
+  strings: "seq(string"
+  strings: "seq(int64"
+  strings: "seq(double"
+  strings: "seq(int8"
+  strings: "seq(float16"
+  strings: "seq(bool"
+  strings: "seq(complex128"
+  strings: "seq(uint64"
+  strings: "seq(int16"
+  strings: "seq(int32"
+  strings: "seq(uint16"
+  strings: "seq(complex64"
+  strings: "seq(uint8"
+  type: STRINGS
+}
+doc_string: "\nProduces a scalar(tensor of empty shape) containing the number of tensors in \'input_sequence\'.\n"
+--
+input: "data"
+output: "shape"
+name: "Shape"
+op_type: "Shape"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nTakes a tensor as input and outputs an 1D int64 tensor containing the shape of the input tensor.\n"
+--
+input: "input"
+output: "output"
+name: "Shrink"
+op_type: "Shrink"
+attribute {
+  name: "bias"
+  f: 0.0
+  type: FLOAT
+}
+attribute {
+  name: "lambd"
+  f: 0.5
+  type: FLOAT
+}
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nShrink takes one input data (Tensor) and produces one Tensor output,\nhaving same datatype and shape with input. It has two attributes, lambd and\nbias. The formula of this operator is: If x < -lambd, y = x + bias;\nIf x > lambd, y = x - bias; Otherwise, y = 0.\n"
+--
+input: "X"
+output: "Y"
+name: "Sigmoid"
+op_type: "Sigmoid"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSigmoid takes one input data (Tensor) and produces one output data\n(Tensor) where the sigmoid function, y = 1 / (1 + exp(-x)), is applied to the\ntensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Sign"
+op_type: "Sign"
+attribute {
+  name: "input-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nCalculate the sign of the given input tensor element-wise.\nIf input > 0, output 1. if input < 0, output -1. if input == 0, output 0.\n"
+--
+input: "input"
+output: "output"
+name: "Sin"
+op_type: "Sin"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the sine of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Sinh"
+op_type: "Sinh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic sine of the given input tensor element-wise.\n"
+--
+input: "data"
+output: "size"
+name: "Size"
+op_type: "Size"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nTakes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.\n"
+--
+input: "data"
+input: "starts"
+input: "ends"
+input: "axes"
+input: "steps"
+output: "output"
+name: "Slice"
+op_type: "Slice"
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "starts-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "ends-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "axes-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "steps-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nProduces a slice of the input tensor along multiple axes. Similar to numpy:\nhttps://docs.scipy.org/doc/numpy/reference/arrays.indexing.html\nSlices uses `starts`, `ends`, `axes` and `steps` inputs to specify the start and end\ndimension and step for each axis in the list of axes, it uses this information to\nslice the input `data` tensor. If a negative value is passed for any of the\nstart or end indices, it represents number of elements before the end of that\ndimension. If the value passed to start or end is larger than the `n` (the\nnumber of elements in this dimension), it represents `n`. For slicing to the\nend of a dimension with unknown size, it is recommended to pass in `INT_MAX` \nwhen sclicing forward and \'INT_MIN\' when slicing backward.\nIf a negative value is passed for step, it represents slicing backward. \nHowever step value cannot be 0.\nIf `axes` are omitted, they are set to `[0, ..., ndim-1]`.\nIf `steps` are omitted, they are set to `[1, ..., 1]` of length `len(starts)`\nExample 1:\n  data = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n  ]\n  axes = [0, 1]\n  starts = [1, 0]\n  ends = [2, 3]\n  steps = [1, 2]\n  result = [\n      [5, 7],\n  ]\nExample 2:\n  data = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n  ]\n  starts = [0, 1]\n  ends = [-1, 1000]\n  result = [\n      [2, 3, 4],\n  ]\n"
+--
+input: "input"
+output: "output"
+name: "Softmax"
+op_type: "Softmax"
+attribute {
+  name: "axis"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThe operator computes the softmax (normalized exponential) values for each layer in the batch\n of the given input.\n\nThe input does not need to explicitly be a 2D vector; rather, it will be\ncoerced into one. For an arbitrary n-dimensional tensor\ninput \\in [a_0, a_1, ..., a_{k-1}, a_k, ..., a_{n-1}] and k is\nthe axis provided, then input will be coerced into a 2-dimensional tensor with\ndimensions [a_0 * ... * a_{k-1}, a_k * ... * a_{n-1}]. For the default\ncase where axis=1, this means the input tensor will be coerced into a 2D tensor\nof dimensions [a_0, a_1 * ... * a_{n-1}], where a_0 is often the batch size.\nIn this situation, we must have a_0 = N and a_1 * ... * a_{n-1} = D.\nEach of these dimensions must be matched correctly, or else the operator\nwill throw errors. The output tensor has the same shape\nand contains the softmax values of the corresponding input.\n"
+--
+input: "scores"
+input: "labels"
+input: "weights"
+output: "output"
+output: "log_prob"
+name: "SoftmaxCrossEntropyLoss"
+op_type: "SoftmaxCrossEntropyLoss"
+attribute {
+  name: "ignore_index"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "reduction"
+  s: "mean"
+  type: STRING
+}
+attribute {
+  name: "scores-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+attribute {
+  name: "labels-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+attribute {
+  name: "weights-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "Loss function that measures the softmax cross entropy\nbetween \'scores\' and \'labels\'.\nThis operator first computes a loss tensor whose shape is identical to the labels input.\nIf the input is 2-D with shape (N, C), the loss tensor may be a N-element vector L = (l_1, l_2, ..., l_N).\nIf the input is N-D tensor with shape (N, C, D1, D2, ..., Dk),\nthe loss tensor L may have (N, D1, D2, ..., Dk) as its shape and L[i,][j_1][j_2]...[j_k] denotes a scalar element in L.\nAfter L is available, this operator can optionally do a reduction operator.\n\nshape(scores): (N, C) where C is the number of classes, or (N, C, D1, D2,..., Dk),\n        with K >= 1 in case of K-dimensional loss.\nshape(labels): (N) where each value is 0 <= labels[i] <= C-1, or (N, D1, D2,..., Dk),\n        with K >= 1 in case of K-dimensional loss.\n\nThe loss for one sample, l_i, can caculated as follows:\n    l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk], where i is the index of classes.\nor\n    l[i][d1][d2]...[dk] = -y[i][c][d1][d2]..[dk] * weights[c], if \'weights\' is provided.\n\nloss is zero for the case when label-value equals ignore_index.\n    l[i][d1][d2]...[dk]  = 0, when labels[n][d1][d2]...[dk] = ignore_index\n\nwhere:\n    p = Softmax(scores)\n    y = Log(p)\n    c = labels[i][d1][d2]...[dk]\n\nFinally, L is optionally reduced:\nIf reduction = \'none\', the output is L with shape (N, D1, D2, ..., Dk).\nIf reduction = \'sum\', the output is scalar: Sum(L).\nIf reduction = \'mean\', the output is scalar: ReduceMean(L), or if weight is provided: ReduceSum(L) / ReduceSum(W),\nwhere tensor W is of shape (N, D1, D2, ..., Dk) and W[n][d1][d2]...[dk] = weights[labels[i][d1][d2]...[dk]].\n"
+--
+input: "X"
+output: "Y"
+name: "Softplus"
+op_type: "Softplus"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSoftplus takes one input data (Tensor) and produces one output data\n(Tensor) where the softplus function, y = ln(exp(x) + 1), is applied to\nthe tensor elementwise.\n"
+--
+input: "input"
+output: "output"
+name: "Softsign"
+op_type: "Softsign"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the softsign (x/(1+|x|)) of the given input tensor element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "SpaceToDepth"
+op_type: "SpaceToDepth"
+attribute {
+  name: "blocksize"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "SpaceToDepth rearranges blocks of spatial data into depth. More specifically,\nthis op outputs a copy of the input tensor where values from the height and width dimensions\nare moved to the depth dimension.\n"
+--
+input: "input"
+output: "outputs"
+name: "Split"
+op_type: "Split"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "split"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "Split a tensor into a list of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\nOtherwise, the tensor is split to equal sized parts.\n"
+--
+input: "input"
+input: "split"
+output: "output_sequence"
+name: "SplitToSequence"
+op_type: "SplitToSequence"
+attribute {
+  name: "axis"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "keepdims"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "split-types"
+  strings: "int32"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "Split a tensor into a sequence of tensors, along the specified\n\'axis\'. Lengths of the parts can be specified using argument \'split\'.\n\'split\' must contain only positive numbers.\n\'split\' is either a scalar (tensor of empty shape), or a 1-D tensor.\nIf \'split\' is a scalar, then \'input\' will be split into equally sized chunks(if possible).\nLast chunk will be smaller if the \'input\' size along the given axis \'axis\' is not divisible\nby \'split\'.\nOtherwise, the tensor is split into \'size(split)\' chunks, with lengths of the parts on \'axis\'\nspecified in \'split\'. In this scenario, the sum of entries in \'split\' must be equal to the\ndimension size of input tensor on \'axis\'.\n"
+--
+input: "X"
+output: "Y"
+name: "Sqrt"
+op_type: "Sqrt"
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nSquare root takes one input data (Tensor) and produces one output data\n(Tensor) where the square root is, y = x^0.5, is applied to\nthe tensor elementwise. If x is negative, then it will return NaN.\n"
+--
+input: "data"
+output: "squeezed"
+name: "Squeeze"
+op_type: "Squeeze"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nRemove single-dimensional entries from the shape of a tensor.\nTakes a  parameter `axes` with a list of axes to squeeze.\nIf `axes` is not provided, all the single dimensions will be removed from\nthe shape. If an axis is selected with shape entry not equal to one, an error is raised.\n"
+--
+input: "X"
+output: "Y"
+name: "StringNormalizer"
+op_type: "StringNormalizer"
+attribute {
+  name: "case_change_action"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "is_case_sensitive"
+  i: 0
+  type: INT
+}
+attribute {
+  name: "locale"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "stopwords"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "string"
+  type: STRINGS
+}
+doc_string: "\nStringNormalization performs string operations for basic cleaning.\nThis operator has only one input (denoted by X) and only one output\n(denoted by Y). This operator first examines the elements in the X,\nand removes elements specified in \"stopwords\" attribute.\nAfter removing stop words, the intermediate result can be further lowercased,\nuppercased, or just returned depending the \"case_change_action\" attribute.\nThis operator only accepts [C]- and [1, C]-tensor.\nIf all elements in X are dropped, the output will be the empty value of string tensor with shape [1]\nif input shape is [C] and shape [1, 1] if input shape is [1, C].\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Sub"
+op_type: "Sub"
+attribute {
+  name: "A-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "int64"
+  strings: "double"
+  strings: "uint32"
+  strings: "float"
+  strings: "uint64"
+  strings: "float16"
+  strings: "int32"
+  type: STRINGS
+}
+doc_string: "\nPerforms element-wise binary subtraction (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "data_0"
+output: "sum"
+name: "Sum"
+op_type: "Sum"
+attribute {
+  name: "data_0-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nElement-wise sum of each of the input tensors (with Numpy-style broadcasting support).\nAll inputs and outputs must have the same data type.\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "input"
+output: "output"
+name: "Tan"
+op_type: "Tan"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the tangent of the given input tensor, element-wise.\n"
+--
+input: "input"
+output: "output"
+name: "Tanh"
+op_type: "Tanh"
+attribute {
+  name: "input-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nCalculates the hyperbolic tangent of the given input tensor element-wise.\n"
+--
+input: "X"
+output: "Y"
+name: "TfIdfVectorizer"
+op_type: "TfIdfVectorizer"
+attribute {
+  name: "max_gram_length"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "max_skip_count"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "min_gram_length"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "mode"
+  s: ""
+  type: STRING
+}
+attribute {
+  name: "ngram_counts"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "ngram_indexes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pool_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "pool_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "weights"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "string"
+  type: STRINGS
+}
+doc_string: "\nThis transform extracts n-grams from the input sequence and save them as a vector. Input can\nbe either a 1-D or 2-D tensor. For 1-D input, output is the n-gram representation of that input.\nFor 2-D input, the output is also a  2-D tensor whose i-th row is the n-gram representation of the i-th input row.\nMore specifically, if input shape is [C], the corresponding output shape would be [max(ngram_indexes) + 1].\nIf input shape is [N, C], this operator produces a [N, max(ngram_indexes) + 1]-tensor.\n\nIn contrast to standard n-gram extraction, here, the indexes of extracting an n-gram from the original\nsequence are not necessarily consecutive numbers. The discontinuity between indexes are controlled by the number of skips.\nIf the number of skips is 2, we should skip two tokens when scanning through the original sequence.\nLet\'s consider an example. Assume that input sequence is [94, 17, 36, 12, 28] and the number of skips is 2.\nThe associated 2-grams are [94, 12] and [17, 28] respectively indexed by [0, 3] and [1, 4].\nIf the number of skips becomes 0, the 2-grams generated are [94, 17], [17, 36], [36, 12], [12, 28]\nindexed by [0, 1], [1, 2], [2, 3], [3, 4], respectively.\n\nThe output vector (denoted by Y) stores the count of each n-gram;\nY[ngram_indexes[i]] indicates the times that the i-th n-gram is found. The attribute ngram_indexes is used to determine the mapping\nbetween index i and the corresponding n-gram\'s output coordinate. If pool_int64s is [94, 17, 17, 36], ngram_indexes is [1, 0],\nngram_counts=[0, 0], then the Y[0] (first element in Y) and Y[1] (second element in Y) are the counts of [17, 36] and [94, 17],\nrespectively. An n-gram which cannot be found in pool_strings/pool_int64s should be ignored and has no effect on the output.\nNote that we may consider all skips up to S when generating the n-grams.\n\nThe examples used above are true if mode is \"TF\". If mode is \"IDF\", all the counts larger than 1 would be truncated to 1 and\nthe i-th element in weights would be used to scale (by multiplication) the count of the i-th n-gram in pool. If mode is \"TFIDF\",\nthis operator first computes the counts of all n-grams and then scale them by the associated values in the weights attribute.\n\nOnly one of pool_strings and pool_int64s can be set. If pool_int64s is set, the input should be an integer tensor.\nIf pool_strings is set, the input must be a string tensor.\n"
+--
+input: "X"
+output: "Y"
+name: "ThresholdedRelu"
+op_type: "ThresholdedRelu"
+attribute {
+  name: "alpha"
+  f: 1.0
+  type: FLOAT
+}
+attribute {
+  name: "X-types"
+  strings: "double"
+  strings: "float"
+  strings: "float16"
+  type: STRINGS
+}
+doc_string: "\nThresholdedRelu takes one input data (Tensor) and produces one output data\n(Tensor) where the rectified linear function, y = x for x > alpha, y = 0 otherwise,\nis applied to the tensor elementwise.\n"
+--
+input: "input"
+input: "repeats"
+output: "output"
+name: "Tile"
+op_type: "Tile"
+attribute {
+  name: "input-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "repeats-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "Constructs a tensor by tiling a given tensor.\nThis is the same as function `tile` in Numpy, but no broadcast.\nFor example A = [[1, 2], [3, 4]], B = [1, 2], tile(A, B) = [[1, 2, 1, 2], [3, 4, 3, 4]]\n"
+--
+input: "X"
+input: "K"
+output: "Values"
+output: "Indices"
+name: "TopK"
+op_type: "TopK"
+attribute {
+  name: "axis"
+  i: -1
+  type: INT
+}
+attribute {
+  name: "largest"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "sorted"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "uint16"
+  strings: "int64"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "K-types"
+  strings: "int64"
+  type: STRINGS
+}
+doc_string: "\nRetrieve the top-K largest or smallest elements along a specified axis. Given an input tensor of\nshape [a_1, a_2, ..., a_n, r] and integer argument k, return two outputs:\n  -Value tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n]\n    which contains the values of the top k elements along the specified axis\n  -Index tensor of shape [a_1, a_2, ..., a_{axis-1}, k, a_{axis+1}, ... a_n] which\n   contains the indices of the top k elements (original indices from the input\n   tensor).\n\nIf \"largest\" is 1 (the default value) then the k largest elements are returned.\nIf \"sorted\" is 1 (the default value) then the resulting k elements will be sorted.\nIf \"sorted\" is 0, order of returned \'Values\' and \'Indices\' are undefined.\n\nGiven two equivalent values, this operator uses the indices along the axis as\n a tiebreaker. That is, the element with the lower index will appear first.\n"
+--
+input: "data"
+output: "transposed"
+name: "Transpose"
+op_type: "Transpose"
+attribute {
+  name: "perm"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nTranspose the input tensor similar to numpy.transpose. For example, when\nperm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape\nwill be (2, 1, 3).\n"
+--
+input: "X"
+output: "Y"
+output: "Z"
+name: "TreeEnsembleClassifier"
+op_type: "TreeEnsembleClassifier"
+attribute {
+  name: "base_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "class_ids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "class_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "class_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "class_weights"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "classlabels_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "nodes_falsenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_featureids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_hitrates"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "nodes_missing_value_tracks_true"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_modes"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "nodes_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_truenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Tree Ensemble classifier.  Returns the top class for each of N inputs.
        \n    The attributes named \'nodes_X\' form a sequence of tuples, associated by \n    index into the sequences, which must all be of equal length. These tuples\n    define the nodes.
        \n    Similarly, all fields prefixed with \'class_\' are tuples of votes at the leaves.\n    A leaf may have multiple votes, where each vote is weighted by\n    the associated class_weights index.
        \n    One and only one of classlabels_strings or classlabels_int64s\n    will be defined. The class_ids are indices into this list.\n"
+--
+input: "X"
+output: "Y"
+name: "TreeEnsembleRegressor"
+op_type: "TreeEnsembleRegressor"
+attribute {
+  name: "aggregate_function"
+  s: "SUM"
+  type: STRING
+}
+attribute {
+  name: "base_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "n_targets"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "nodes_falsenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_featureids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_hitrates"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "nodes_missing_value_tracks_true"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_modes"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "nodes_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_truenodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "nodes_values"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "post_transform"
+  s: "NONE"
+  type: STRING
+}
+attribute {
+  name: "target_ids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "target_nodeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "target_treeids"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "target_weights"
+  s: ""
+  type: FLOATS
+}
+attribute {
+  name: "X-types"
+  strings: "int32"
+  strings: "int64"
+  strings: "double"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Tree Ensemble regressor.  Returns the regressed values for each input in N.
        \n    All args with nodes_ are fields of a tuple of tree nodes, and\n    it is assumed they are the same length, and an index i will decode the\n    tuple across these inputs.  Each node id can appear only once\n    for each tree id.
        \n    All fields prefixed with target_ are tuples of votes at the leaves.
        \n    A leaf may have multiple votes, where each vote is weighted by\n    the associated target_weights index.
        \n    All trees must have their node ids start at 0 and increment by 1.
        \n    Mode enum is BRANCH_LEQ, BRANCH_LT, BRANCH_GTE, BRANCH_GT, BRANCH_EQ, BRANCH_NEQ, LEAF\n"
+--
+input: "X"
+output: "Y"
+output: "indices"
+output: "inverse_indices"
+output: "counts"
+name: "Unique"
+op_type: "Unique"
+attribute {
+  name: "axis"
+  s: ""
+  type: INT
+}
+attribute {
+  name: "sorted"
+  i: 1
+  type: INT
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nFind the unique elements of a tensor. When an optional attribute \'axis\' is provided, unique subtensors sliced along the \'axis\' are returned. \nOtherwise the input tensor is flattened and unique values of the flattened tensor are returned. \n\nThis operator returns the unique values or sliced unique subtensors of the input tensor and three optional outputs. \nThe first output tensor \'Y\' contains all unique values or subtensors of the input. \nThe second optional output tensor \'indices\' contains indices of \'Y\' elements\' first occurance in \'X\'.. \nThe third optional output tensor \'inverse_indices\' contains, for elements of \'X\', its corresponding indices in \'Y\'. \". \nThe fourth optional output tensor \'counts\' contains the count of each element of \'Y\' in the input. \n\nOutputs are either sorted in ascending order or optionally in the order of the first occurrence of the values in the input. \n\nhttps://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html\n\nExample 1:\n  input_X = [2, 1, 1, 3, 4, 3]\n  attribute_sorted = 0\n  attribute_axis = None\n  output_Y = [2, 1, 3, 4]\n  output_indices = [0, 1, 3, 4]\n  output_inverse_indices = [0, 1, 1, 2, 3, 2]\n  output_counts = [1, 2, 2, 1]\n\nExample 2:\n  input_X = [[1, 3], [2, 3]]\n  attribute_sorted = 1\n  attribute_axis = None\n  output_Y = [1, 2, 3]\n  output_indices = [0, 2, 1]\n  output_inverse_indices = [0, 2, 1, 2]\n  output_counts = [1, 1, 2]\n\nExample 3:\n  input_X = [[1, 0, 0], [1, 0, 0], [2, 3, 4]]\n  attribute_sorted = 1\n  attribute_axis = 0\n  output_Y = [[1, 0, 0], [2, 3, 4]]\n  output_indices = [0, 2]\n  output_inverse_indices = [0, 0, 1]\n  output_counts = [2, 1]\n\nExample 4:\n  input_x = [[[1., 1.], [0., 1.], [2., 1.], [0., 1.]], \n             [[1., 1.], [0., 1.], [2., 1.], [0., 1.]]]\n  attribute_sorted = 1\n  attribute_axis = 1\n\n  intermediate data are presented below for better understanding: \n  \n  there are 4 subtensors sliced along axis 1 of input_x (shape = (2, 4, 2)):\n  A: [[1, 1], [1, 1]], \n     [[0, 1], [0, 1]], \n     [[2, 1], [2, 1]], \n     [[0, 1], [0, 1]].\n  \n  there are 3 unique subtensors: \n  [[1, 1], [1, 1]], \n  [[0, 1], [0, 1]], \n  [[2, 1], [2, 1]].\n  \n  sorted unique subtensors:\n  B: [[0, 1], [0, 1]], \n     [[1, 1], [1, 1]], \n     [[2, 1], [2, 1]].\n  \n  output_Y is constructed from B:\n  [[[0. 1.], [1. 1.], [2. 1.]], \n   [[0. 1.], [1. 1.], [2. 1.]]]\n\n  output_indices is to map from B to A:\n  [1, 0, 2]\n  \n  output_inverse_indices is to map from A to B:\n  [1, 0, 2, 0]\n\n  output_counts = [2 1 1]\n"
+--
+input: "data"
+output: "expanded"
+name: "Unsqueeze"
+op_type: "Unsqueeze"
+attribute {
+  name: "axes"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "data-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\nInsert single-dimensional entries to the shape of an input tensor (`data`).\nTakes one required argument `axes` - which contains a list of dimension indices and this operator will insert a dimension of value `1` into the corresponding index of the output tensor (`expanded`).\n\nFor example:\n  Given an input tensor (`data`) of shape [3, 4, 5], then\n  Unsqueeze(data, axes=[0, 4]) outputs a tensor (`expanded`) containing same data as `data` but with shape [1, 3, 4, 5, 1].\n\nThe attribute `axes` should not contain any duplicate entries. It is an error if it contains duplicates.\nThe rank of the output tensor (`output_rank`) is the rank of the input tensor (`data`) plus the number of values in `axes`.\nEach value in `axes` should be within the (inclusive) range [-output_rank , output_rank - 1]. \nThe order of values in `axes` does not matter and can come in any order. \n\n"
+--
+input: "X"
+input: "scales"
+output: "Y"
+name: "Upsample"
+op_type: "Upsample"
+attribute {
+  name: "mode"
+  s: "nearest"
+  type: STRING
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "scales-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\nUpsample the input tensor.\nEach dimension value of the output tensor is:\n  output_dimension = floor(input_dimension * scale).\n"
+--
+input: "condition"
+input: "X"
+input: "Y"
+output: "output"
+name: "Where"
+op_type: "Where"
+attribute {
+  name: "condition-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+attribute {
+  name: "Y-types"
+  strings: "bool"
+  strings: "uint16"
+  strings: "int64"
+  strings: "string"
+  strings: "float"
+  strings: "uint32"
+  strings: "double"
+  strings: "complex64"
+  strings: "complex128"
+  strings: "uint64"
+  strings: "int16"
+  strings: "float16"
+  strings: "int32"
+  strings: "int8"
+  strings: "uint8"
+  type: STRINGS
+}
+doc_string: "\n    Return elements, either from X or Y, depending on condition\n    (with Numpy-style broadcasting support).\n    Where behaves like numpy.where with three parameters:\n    https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html\n"
+--
+input: "A"
+input: "B"
+output: "C"
+name: "Xor"
+op_type: "Xor"
+attribute {
+  name: "A-types"
+  strings: "bool"
+  type: STRINGS
+}
+attribute {
+  name: "B-types"
+  strings: "bool"
+  type: STRINGS
+}
+doc_string: "\nReturns the tensor resulted from performing the `xor` logical operation\nelementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).\n\nThis operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).\n"
+--
+input: "X"
+output: "Z"
+name: "ZipMap"
+op_type: "ZipMap"
+attribute {
+  name: "classlabels_int64s"
+  s: ""
+  type: INTS
+}
+attribute {
+  name: "classlabels_strings"
+  s: ""
+  type: STRINGS
+}
+attribute {
+  name: "X-types"
+  strings: "float"
+  type: STRINGS
+}
+doc_string: "\n    Creates a map from the input and the attributes.
        \n    The values are provided by the input tensor, while the keys are specified by the attributes.\n    Must provide keys in either classlabels_strings or classlabels_int64s (but not both).
        \n    The columns of the tensor correspond one-by-one to the keys specified by the attributes. There must be as many columns as keys.
        \n"
+--
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-op-defs.pb b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-op-defs.pb
new file mode 100644
index 000000000..023f31b24
Binary files /dev/null and b/nd4j/samediff-import/samediff-import-onnx/src/main/resources/onnx-op-defs.pb differ
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/TestOnnxIR.kt b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/TestOnnxIR.kt
new file mode 100644
index 000000000..a75c39237
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/TestOnnxIR.kt
@@ -0,0 +1,912 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.onnx
+
+import junit.framework.Assert
+import junit.framework.Assert.*
+import onnx.Onnx
+import org.junit.Ignore
+import org.junit.jupiter.api.Test
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.buffer.DataType
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ImportGraph
+import org.nd4j.samediff.frameworkimport.onnx.definitions.OnnxOpDeclarations
+import org.nd4j.samediff.frameworkimport.onnx.definitions.registry
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRGraph
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRGraphRunner
+import kotlin.test.assertTrue
+
+data class OnnxGraphInput(val graphDef: Onnx.GraphProto, val inputNames: List, val outputNames: List,
+                          val inputArrays: Map, val dynamicArrays: Map)
+
+
+class TestOnnxIR {
+    val declarations = OnnxOpDeclarations
+
+
+
+    @Test
+    fun testInputOutputNames() {
+        val onnxOpRegistry = registry()
+        val onnxOpNames = onnxOpRegistry.inputFrameworkOpNames()
+        val nd4jOpNames = onnxOpRegistry.nd4jOpNames()
+        onnxOpRegistry.mappingProcessNames().map {
+            onnxOpRegistry.lookupOpMappingProcess(it)
+        }.forEach {
+            println("Beginning processing of op ${it.inputFrameworkOpName()} and nd4j op ${it.opName()}")
+            assertTrue(onnxOpNames.contains(it.inputFrameworkOpName()))
+            assertTrue(nd4jOpNames.contains(it.opName()))
+            val nd4jOpDef = onnxOpRegistry.lookupNd4jOpDef(it.opName())
+            val onnxOpDef = onnxOpRegistry.lookupInputFrameworkOpDef(it.inputFrameworkOpName())
+            val inputNameArgDefs = nd4jOpDef.argDescriptorList.filter {
+                    argDef -> argDef.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+            }.map { argDef -> argDef.name }
+
+            val inputFrameworkOpDefNames = onnxOpDef.inputList
+
+            val nd4jArgDefNames = nd4jOpDef.argDescriptorList.map { nd4jArgDef -> nd4jArgDef.name }
+            val onnxAttrNames = onnxOpDef.attributeList.map { onnxAttr -> onnxAttr.name }
+            it.tensorMappingRules().forEach { tensorRules ->
+                println("Running tensor mapping rule ${tensorRules.name()} for op ${it.inputFrameworkOpName()} and nd4j op name ${it.opName()}")
+                run {
+                    tensorRules.mappingNamesToPerform().forEach { tensorRule ->
+                        run {
+                            println("Testing assertion for nd4j name ${tensorRule.key} and input name ${tensorRule.value}")
+                            assertTrue(inputNameArgDefs.contains(tensorRule.key)) ?: error("Failed on inputArgName ${tensorRule.key}")
+                            assertTrue(inputFrameworkOpDefNames.contains(tensorRule.value)) ?: error("Failed on inputArgName ${tensorRule.value}")
+                        }
+
+                    }
+                }
+
+            }
+
+            println("Running attribute mapping rules for ${it.opName()} and input op name ${it.inputFrameworkOpName()}")
+            it.attributeMappingRules().forEach { attrRule ->
+                run {
+                    attrRule.mappingNamesToPerform().forEach { attrMapping ->
+                        run {
+                            println("Testing nd4j name  ${attrMapping.key} and input framework name ${attrMapping.value}")
+                            assertTrue(nd4jArgDefNames.contains(attrMapping.key) || inputNameArgDefs.contains(attrMapping.key))
+                            assertTrue(onnxAttrNames.contains(attrMapping.value) || inputFrameworkOpDefNames.contains(attrMapping.value))
+
+                        }
+
+                    }
+                }
+            }
+
+        }
+    }
+
+
+
+    @Test
+    @Ignore
+    fun testOpsMapped() {
+        val onnxOpRegistry = registry()
+
+        val onnxOpNames = onnxOpRegistry.inputFrameworkOpNames().filter { onnxOpRegistry.registeredOps.containsKey(it) }
+        val nd4jOpNames = onnxOpRegistry.nd4jOpNames()
+        /**
+         * TODO: Assert each op is mapped.
+         *
+         * Assert all attributes in nd4j are mapped.
+         * If not, let's document what isn't and why for each op.
+         *
+         * Create an op generation tool that allows random generation of test cases
+         * based on existing mapped ops between nd4j and tensorflow.
+         */
+        onnxOpNames.map { onnxOpName -> onnxOpRegistry.lookupOpMappingProcess(onnxOpName)}
+            .forEach {
+                val onnxNamesMapped = HashSet()
+                val nd4jNamesMapped = HashSet()
+                //we can ignore dtype for now
+                nd4jNamesMapped.add("dtype")
+                val opDef = onnxOpRegistry.lookupNd4jOpDef(it.opName())
+                val onnxOpDef = onnxOpRegistry.lookupInputFrameworkOpDef(it.inputFrameworkOpName())
+                val onnxAssertionNames = HashSet()
+                onnxAssertionNames.addAll(onnxOpDef.inputList.map { arg -> arg.toString() })
+                onnxAssertionNames.addAll(onnxOpDef.attributeList.map { attr -> attr.name })
+                val nd4jOpDefAssertions = HashSet()
+                nd4jOpDefAssertions.addAll(opDef.argDescriptorList.map { argDescriptor -> argDescriptor.name })
+                val numRequiredInputs = onnxOpDef.inputCount
+                val nd4jInputs = opDef.argDescriptorList.filter { arg -> arg.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }.count()
+                /**
+                 * TODO: Grab total collection of mapped nd4j names
+                 * as outputs and mapped onnx names as inputs.
+                 * Compare the mapped names to the op definitions
+                 * in nd4j and tensorflow respectively.
+                 */
+                it.tensorMappingRules().forEach { mappingRule ->
+                    mappingRule.mappingNamesToPerform().forEach {  mappingName ->
+                        onnxNamesMapped.add(mappingName.value)
+                        nd4jNamesMapped.add(mappingName.key)
+                    }
+                }
+
+                it.attributeMappingRules().forEach { mappingRule ->
+                    mappingRule.mappingNamesToPerform().forEach { mappingName ->
+                        onnxNamesMapped.add(mappingName.value)
+                        nd4jNamesMapped.add(mappingName.key)
+                    }
+
+                    mappingRule.mappingTransformerArgs().forEach {transformerArg ->
+                        run {
+                            transformerArg.value.forEach { argValue ->
+                                nd4jNamesMapped.add(argValue.name)
+
+                            }
+                        }
+                    }
+
+                }
+
+
+                onnxOpDef.inputList.forEach { inputName ->
+                    Assert.assertTrue(onnxAssertionNames.contains(inputName))
+                }
+
+                onnxOpDef.attributeList.map { attrDef -> attrDef.name }.forEach { attrName ->
+                    Assert.assertTrue(onnxAssertionNames.contains(attrName))
+                }
+
+
+
+                opDef.argDescriptorList.forEach {  argDef ->
+                    //only require it when the
+
+                    when(argDef.argType) {
+                        OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR -> {
+                            /**
+                             * Nd4j typically has many optional inputs that can also double as attributes
+                             * We need to allow for a bit of flexibility in how we handle op definitions. If they're not mapped 1 to 1,
+                             * we just log a warning for unmapped inputs. Otherwise we can do an assertion.
+                             */
+                            if(numRequiredInputs == nd4jInputs)
+                                assertTrue("Nd4j op name ${opDef.name} with onnx mapping ${onnxOpDef.name} has missing mapping ${argDef.name}", nd4jNamesMapped.contains(argDef.name))
+                            else if(!nd4jNamesMapped.contains(argDef.name)) {
+                                println("Warning: Nd4j op name ${opDef.name} with onnx mapping ${onnxOpDef.name} has missing mapping ${argDef.name}")
+                            }
+                        }
+                        OpNamespace.ArgDescriptor.ArgType.INT32,OpNamespace.ArgDescriptor.ArgType.INT64 -> {
+                            assertTrue("Nd4j op name ${opDef.name} with onnx mapping ${onnxOpDef.name}  has missing mapping ${argDef.name}", nd4jNamesMapped.contains(argDef.name))
+                        }
+                        OpNamespace.ArgDescriptor.ArgType.DOUBLE, OpNamespace.ArgDescriptor.ArgType.FLOAT -> {
+                            assertTrue("Nd4j op name ${opDef.name} with onnx mapping ${onnxOpDef.name}  has missing mapping ${argDef.name}", nd4jNamesMapped.contains(argDef.name))
+                        }
+                        OpNamespace.ArgDescriptor.ArgType.BOOL -> {
+                            assertTrue("Nd4j op name ${opDef.name} with onnx mapping ${onnxOpDef.name}  has missing mapping ${argDef.name}", nd4jNamesMapped.contains(argDef.name))
+                        }
+                    }
+
+                }
+
+            }
+    }
+
+    @Test
+    fun testOpExecution() {
+        val onnxOpRegistry = registry()
+
+        val scalarInputs = mapOf(
+            "abs" to -1.0,
+            "copy" to 1.0,
+            "erfc" to 1.0,
+            "exp" to 1.0,
+            "identity" to 1.0,
+            "neg" to 1.0,
+            "ones_as" to 1.0,
+            "relu6" to 1.0,
+            "round" to 1.0,
+            "sign" to 1.0,
+            "sin" to 1.0,
+            "square" to 1.0,
+            "sqrt" to 1.0)
+
+        val scalarFloatOps = mapOf(
+            "acos" to 1.0f,
+            "asin" to 1.0f,
+            "acosh" to 1.0f,
+            "asinh" to 1.0f,
+            "atan" to 1.0f,
+            "atanh" to 0.5f,
+            "ceil" to 1.0f,
+            "cosh" to 1.0f,
+            "cos" to 1.0f,
+            "erf" to 1.0f,
+            "hard_sigmoid" to 1.0f,
+            "floor" to 1.0f,
+            "log" to 1.0f,
+            "round" to 1.0f,
+            "relu" to 1.0f,
+            "selu" to 1.0f,
+            "sinh" to 1.0f,
+            "sigmoid" to 1.0f,
+            "softplus" to 1.0f,
+            "softsign" to 1.0f,
+            "tan" to 1.0f,
+            "tanh" to 1.0f
+        )
+
+
+        val singleInputOps = scalarInputs.keys
+        val singleInputBooleanOps = mapOf(
+            "not" to false
+        )
+
+        val singleOutputBooleanOps = mapOf(
+            "isfinite" to 1.0f,
+            "isinf" to 1.0f,
+            "isnan" to 1.0f,
+        )
+
+        val pairWiseBooleanOps = mapOf(
+            "min" to listOf(1.0,2.0),
+            "max" to listOf(1.0,2.0),
+            "equals" to listOf(2.0,2.0),
+            "greater" to listOf(2.0,1.0),
+            "greater_equal" to listOf(2.0,1.0),
+            "less" to listOf(2.0,1.0),
+            "less_equal" to listOf(2.0,1.0))
+
+
+        val singleInputIntOutput = mapOf(
+            "size" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "shape_of" to Nd4j.linspace(1,4,4).reshape(2,2)
+        )
+
+        val pairWiseBooleanInputs = mapOf(
+            "or" to listOf(true,false),
+            "and" to listOf(false,false),
+            "xor" to listOf(false,true)
+        )
+
+
+        val singleReduceOps = mapOf(
+            "reduce_mean" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_max" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_sum" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_prod" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_norm1" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_norm2" to Nd4j.linspace(1,4,4).reshape(2,2)
+           // "reduce_logsumexp" to Nd4j.linspace(1,4,4).reshape(2,2)
+        )
+
+
+        val pairwise = mapOf(
+            "add" to listOf(1.0,1.0),
+            "subtract" to listOf(2.0,1.0),
+            "multiply" to listOf(2.0,1.0),
+            "divide" to listOf(2.0,1.0),
+            "pow" to listOf(2.0,1.0)
+        )
+
+        val mappedOps = setOf("elu","transpose","argmin","argmax","leakyrelu","prelu","flatten_2d")//,"top_k")
+
+        /**
+         * NOTE WHEN WRITING TESTS, IF YOU SEE AN ERROR like:
+         * java.lang.RuntimeException: Could not find an implementation for the node output:Cos(7)
+         *
+         * Check the supported data types for each op here:
+         * https://github.com/microsoft/onnxruntime/blob/master/docs/OperatorKernels.md
+         */
+
+        val importGraph = ImportGraph()
+        val finishedOps = HashSet()
+        onnxOpRegistry.mappingProcessNames()
+            .filter { onnxOpRegistry.hasMappingOpProcess(it) }
+            .map { onnxOpRegistry.lookupOpMappingProcess(it) }.forEach { mappingProcess ->
+                val nd4jOpDef = onnxOpRegistry.lookupNd4jOpDef(mappingProcess.opName())
+                val onnxOpDef = onnxOpRegistry.lookupInputFrameworkOpDef(mappingProcess.inputFrameworkOpName())
+                if(scalarInputs.containsKey(nd4jOpDef.name)) {
+                    print("Running op $nd4jOpDef.name")
+                    val input = Nd4j.scalar(scalarInputs[mappingProcess.opName()]).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(input,"input"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("input")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(input,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("input"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,HashMap(),onnxOpRegistry)
+                    val inputs = mapOf("input" to input)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $input",assertion["output"]!!.reshape(1,1),result["output"]!!.reshape(1,1))
+                    finishedOps.add(nd4jOpDef.name)
+
+                } else if(scalarFloatOps.containsKey(nd4jOpDef.name)) {
+                    print("Running op $nd4jOpDef.name")
+                    val input = Nd4j.scalar(scalarFloatOps[mappingProcess.opName()]).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(input,"input"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("input")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(input,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("input"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,HashMap(),onnxOpRegistry)
+                    val inputs = mapOf("input" to input)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $input",assertion["output"]!!.reshape(1,1),result["output"]!!.reshape(1,1))
+                    finishedOps.add(nd4jOpDef.name)
+
+                }
+
+                else if(singleOutputBooleanOps.containsKey(nd4jOpDef.name)) {
+                    print("Running op $nd4jOpDef.name")
+                    val input = Nd4j.scalar(singleOutputBooleanOps[mappingProcess.opName()]).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                    val convertedTensor = convertToOnnxTensor(input,"input")
+                    val convertedOutputTensor = convertToOnnxTensor(input,"output")
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(input,"input"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("input")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(Nd4j.create(booleanArrayOf(true)).reshape(),"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("input"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,HashMap(),onnxOpRegistry)
+                    val inputs = mapOf("input" to input)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $input",assertion["output"]!!.reshape(1,1),result["output"]!!.reshape(1,1))
+                    finishedOps.add(nd4jOpDef.name)
+
+                }
+
+
+                else if(pairwise.containsKey(nd4jOpDef.name)) {
+                    print("Running op def $nd4jOpDef.name")
+                    val x = Nd4j.scalar(pairwise[mappingProcess.opName()]!![0]!!).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                    val y = Nd4j.scalar(pairwise[mappingProcess.opName()]!![1]!!).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(x,"x"))
+                        Input(createValueInfoFromTensor(y,"y"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("x")
+                            Input("y")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(x,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("x","y"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,
+                        hashMapOf("x" to convertToOnnxTensor(x,"x"),"y" to convertToOnnxTensor(y,"y")),onnxOpRegistry)
+                    val inputs = mapOf("x" to x,"y" to y)
+                    val result = importedGraph.output(inputs,"output")
+                    val assertion = onnxGraphRunner.run(inputs)
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $x $y",assertion["output"]!!.getDouble(0),result["output"]!!.getDouble(0))
+                    finishedOps.add(nd4jOpDef.name)
+
+                }  else if(pairWiseBooleanInputs.containsKey(nd4jOpDef.name)) {
+                    print("Running op def $nd4jOpDef.name")
+                    val x = Nd4j.scalar(pairWiseBooleanInputs[mappingProcess.opName()]!![0]!!).castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+                    val y = Nd4j.scalar(pairWiseBooleanInputs[mappingProcess.opName()]!![1]!!).castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(x,"x"))
+                        Input(createValueInfoFromTensor(y,"y"))
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("x")
+                            Input("y")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(x,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("x","y"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,
+                        hashMapOf("x" to convertToOnnxTensor(x,"x"),"y" to convertToOnnxTensor(y,"y")),onnxOpRegistry)
+                    val inputs = mapOf("x" to x,"y" to y)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $x $y",assertion["output"]!!.getDouble(0),result["output"]!!.getDouble(0))
+                    finishedOps.add(nd4jOpDef.name)
+
+                } else if(pairWiseBooleanOps.containsKey(nd4jOpDef.name)) {
+                    print("Running op def $nd4jOpDef.name")
+                    val x = Nd4j.scalar(pairWiseBooleanOps[mappingProcess.opName()]!![0]!!).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                    val y = Nd4j.scalar(pairWiseBooleanOps[mappingProcess.opName()]!![1]!!).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                    val output = Nd4j.scalar(pairWiseBooleanOps[mappingProcess.opName()]!![1]!!).castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(x,"x"))
+                        Input(createValueInfoFromTensor(y,"y"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("x")
+                            Input("y")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(output,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("x","y"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,
+                        hashMapOf("x" to convertToOnnxTensor(x,"x"),"y" to convertToOnnxTensor(y,"y")),onnxOpRegistry)
+                    val inputs = mapOf("x" to x,"y" to y)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $x $y",assertion["output"]!!.getDouble(0),result["output"]!!.getDouble(0))
+                    finishedOps.add(nd4jOpDef.name)
+
+                }
+
+                else if(singleInputBooleanOps.containsKey(nd4jOpDef.name)) {
+                    print("Running op def $nd4jOpDef.name")
+                    val x = Nd4j.create(booleanArrayOf(singleInputBooleanOps[mappingProcess.opName()]!!)).castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+                    val output = Nd4j.create(booleanArrayOf(singleInputBooleanOps[mappingProcess.opName()]!!)).castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(x,"x"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("x")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(output,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("x"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,hashMapOf("x" to convertToOnnxTensor(x,"x")),onnxOpRegistry)
+                    val inputs = mapOf("x" to x)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    finishedOps.add(nd4jOpDef.name)
+
+                    //assertEquals("Function ${nd4jOpDef.name} failed with input $x",assertion["output"]!!.reshape(1,1),result["output"]!!.reshape(1,1))
+                }
+
+                else if(singleReduceOps.containsKey(nd4jOpDef.name)) {
+                    print("Running op def $nd4jOpDef.name")
+                    val x = singleReduceOps[mappingProcess.opName()]!!.castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                    val output = x.mean(0).reshape(2)
+                        .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(x,"x"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("x")
+                            Output("output")
+                            Attribute(Onnx.AttributeProto.newBuilder()
+                                .setType(Onnx.AttributeProto.AttributeType.INTS)
+                                .setName("axes").addInts(0).build())
+                            Attribute(Onnx.AttributeProto.newBuilder()
+                                .setType(Onnx.AttributeProto.AttributeType.INT)
+                                .setI(0)
+                                .setName("keepdims").build())
+
+                        })
+
+                        Output(createValueInfoFromTensor(output,"output"))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val inputs = mapOf("x" to x)
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,hashMapOf("x" to convertToOnnxTensor(x,"x")),onnxOpRegistry)
+                    val result = importedGraph.output(inputs,"output")
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("x"),listOf("output"))
+                    val assertion = onnxGraphRunner.run(inputs)
+                    assertEquals("Function ${nd4jOpDef.name} failed with input $x",assertion["output"]!!.reshape(1,2),result["output"]!!.reshape(1,2))
+                    finishedOps.add(nd4jOpDef.name)
+
+                } else if(mappedOps.contains(nd4jOpDef.name)){
+                    val graphForOp = graphForOp(nd4jOpDef.name)
+                    graphForOp.forEach { graph ->
+                        val onnxIRGraph = OnnxIRGraph(graph.graphDef,onnxOpRegistry)
+                        val inputs =graph.inputArrays
+                        val convertedArrays = HashMap()
+                        graph.inputArrays.forEach { name, arr ->
+                            convertedArrays[name] = convertToOnnxTensor(arr,name)
+                        }
+                        val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,convertedArrays,onnxOpRegistry)
+                        val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,graph.inputNames,graph.outputNames)
+                        val assertion = onnxGraphRunner.run(inputs)
+                        val result = importedGraph.output(inputs,graph.outputNames)
+                        assertEquals(assertion.keys,result.keys)
+                        result.forEach { name,arr ->
+                            if(arr.length().toInt() == 1) {
+                                assertEquals("Function ${nd4jOpDef.name} failed with input ${graph.inputNames}",assertion[name]!!.getDouble(0),arr.getDouble(0),1e-3)
+                            }
+                            else {
+                                assertEquals("Function ${nd4jOpDef.name} failed with input ${graph.inputNames}",assertion[name],arr)
+                            }
+                        }
+
+                        finishedOps.add(nd4jOpDef.name)
+
+
+                    }
+
+
+                } else   if(singleInputIntOutput.containsKey(nd4jOpDef.name)) {
+                    print("Running op $nd4jOpDef.name")
+                    val input = singleInputIntOutput[mappingProcess.opName()]!!.castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+                    val graphToRun = GraphProto {
+                        Input(createValueInfoFromTensor(input,"input"))
+                        //Initializer(convertedTensor)
+                        Node(NodeProto {
+                            name = "output"
+                            opType = onnxOpDef.opType
+                            Input("input")
+                            Output("output")
+
+                        })
+
+                        Output(createValueInfoFromTensor(input,"output",false ))
+                    }
+
+
+                    val onnxIRGraph = OnnxIRGraph(graphToRun,onnxOpRegistry)
+                    val onnxGraphRunner = OnnxIRGraphRunner(onnxIRGraph,listOf("input"),listOf("output"))
+                    val importedGraph = importGraph.importGraph(onnxIRGraph,null,null,HashMap(),onnxOpRegistry)
+                    val inputs = mapOf("input" to input)
+                    val assertion = onnxGraphRunner.run(inputs)
+                    val result = importedGraph.output(inputs,"output")
+                    if(assertion["output"]!!.length() == 1L)
+                        assertEquals("Function ${nd4jOpDef.name} failed with input $input",assertion["output"]!!.reshape(1,1),result["output"]!!.reshape(1,1))
+                    else
+                        assertEquals("Function ${nd4jOpDef.name} failed with input $input",assertion["output"]!!.ravel(),result["output"]!!.ravel())
+                    finishedOps.add(nd4jOpDef.name)
+
+                }
+            }
+
+        println("Finished ops totaling ${finishedOps.size} out of ${onnxOpRegistry.mappedNd4jOpNames().size}")
+    }
+
+
+
+    fun graphForOp(opName: String): List {
+        when(opName) {
+            "non_max_suppression_v3" -> {
+                /**
+                 * TODO: Add pre and post processing for each node.
+                 * Our NMS requires 2d, but onnx is 3d. Attempt to see
+                 * if generalized pre/post processing node additions as part of a mapping process can work.
+                 *
+                 */
+                print("Running op def $opName")
+                val boxesVal = Nd4j.create(arrayOf(
+                    floatArrayOf(0f,0f,1f,1f),
+                    floatArrayOf(0f,0.1f,1f,1.1f),
+                    floatArrayOf(0f,-0.1f,1f,0.9f),
+                    floatArrayOf(0f,10f,1f,11f)
+                )).reshape(1,4,4).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val scoresVal = Nd4j.create(listOf(0.9f,0.75f,0.6f,0.95f).toFloatArray())
+                    .reshape(1,1,4)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                val maxOutputSize = Nd4j.scalar(4.0).castTo(DataType.INT64)
+                val iouThreshold = Nd4j.scalar(0.5).castTo(DataType.FLOAT)
+                val scoreThreshold = Nd4j.scalar(0.0).castTo(DataType.FLOAT)
+
+                val inputs = mapOf("boxes" to boxesVal,"scores" to scoresVal,"max_output_boxes_per_class" to maxOutputSize,
+                    "iou_threshold" to iouThreshold,"score_threshold" to scoreThreshold)
+                val output = Nd4j.scalar(1)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(boxesVal,"boxes",false))
+                    Input(createValueInfoFromTensor(scoresVal,"scores",false))
+                    Input(createValueInfoFromTensor(maxOutputSize,"max_output_boxes_per_class",false))
+                    Input(createValueInfoFromTensor(iouThreshold,"iou_threshold",false))
+                    Input(createValueInfoFromTensor(scoreThreshold,"score_threshold",false))
+
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        Input("boxes")
+                        Input("scores")
+                        Input("max_output_boxes_per_class")
+                        Input("iou_threshold")
+                        Input("score_threshold")
+                        Output("output")
+                        name = "output"
+                        opType = "NonMaxSuppression"
+
+
+
+                    })
+
+                    Output(createValueInfoFromTensor(output,"output",false))
+                }
+
+                return listOf(OnnxGraphInput(graphToRun,listOf("boxes","scores","max_output_boxes_per_class","iou_threshold","score_threshold"),listOf("output"),inputs,inputs))
+            }
+            "argmin","argmax" -> {
+                print("Running op def $opName")
+                val x = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                val output = x.mean(0).reshape(2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(x,"x"))
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        name = "output"
+                        opType = if(opName == "argmin") "ArgMin" else "ArgMax"
+                        Input("x")
+                        Output("output")
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setName("axis").setI(0).build())
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(0)
+                            .setName("keepdims").build())
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(1)
+                            .setName("select_last_index").build())
+
+                    })
+
+                    Output(createValueInfoFromTensor(output,"output",false))
+                }
+
+                val inputMap = mapOf("x" to x)
+                return listOf(OnnxGraphInput(graphToRun,listOf("x"),listOf("output"),inputMap,inputMap))
+            }
+            "top_k" -> {
+                val input = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                val k = Nd4j.scalar(2.0).castTo(DataType.INT64).reshape(1)
+                val output = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(input,"input"))
+                    Input(createValueInfoFromTensor(k,"k"))
+                    Node(NodeProto {
+                        name = "output"
+                        opType = "TopK"
+                        Input("input")
+                        Input("k")
+                        Output("output")
+                        Output("indices")
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(0)
+                            .setName("axis").build())
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(1)
+                            .setName("sorted").build())
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(1)
+                            .setName("largest").build())
+
+                    })
+
+
+                    Output(createValueInfoFromTensor(input,"output",false))
+                    Output(createValueInfoFromTensor(output,"indices",false))
+                }
+
+                val inputMap = mapOf("input" to input,"k" to k)
+                return listOf(OnnxGraphInput(graphToRun,listOf("input","k"),listOf("output","indices"),inputMap,inputMap))
+
+            }
+            "transpose" -> {
+                val input = Nd4j.linspace(1,6,6).reshape(3,2).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                val output = Nd4j.linspace(1,6,6).reshape(2,3).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(input,"input"))
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        name = "output"
+                        opType = "Transpose"
+                        Input("input")
+                        Output("output")
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INTS)
+                            .addInts(1).addInts(0)
+                            .setName("perm").build())
+
+                    })
+
+                    Output(createValueInfoFromTensor(output,"output"))
+                }
+
+                val inputMap = mapOf("input" to input)
+                return listOf(OnnxGraphInput(graphToRun,listOf("input"),listOf("output"),inputMap,inputMap))
+
+            }
+            "prelu" -> {
+                val input = Nd4j.randn(3,4,5).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                val alpha = Nd4j.zeros(1,1,5).addi(0.1).castTo(DataType.FLOAT)
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(input,"input",false))
+                    Input(createValueInfoFromTensor(input,"slope",false))
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        name = "output"
+                        opType = "PRelu"
+                        Input("input")
+                        Input("slope")
+                        Output("output")
+
+                    })
+
+                    Output(createValueInfoFromTensor(input,"output",false))
+                }
+
+                val inputMap = mapOf("input" to input,"slope" to alpha)
+                return listOf(OnnxGraphInput(graphToRun,listOf("input","slope"),listOf("output"),inputMap,inputMap))
+
+            }
+            "elu","leakyrelu" -> {
+                val input = Nd4j.scalar(1.0f).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(input,"input"))
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        name = "output"
+                        opType = if(name == "elu") "Elu" else "LeakyRelu"
+                        Input("input")
+                        Output("output")
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.FLOAT)
+                            .setF(1.0f)
+                            .setName("alpha").build())
+
+                    })
+
+                    Output(createValueInfoFromTensor(input,"output"))
+                }
+
+                val inputMap = mapOf("input" to input)
+                return listOf(OnnxGraphInput(graphToRun,listOf("input"),listOf("output"),inputMap,inputMap))
+
+            }
+
+            "flatten_2d" -> {
+                val x = Nd4j.randn(2,3,4).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(x,"x"))
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        name = "output"
+                        opType = "Flatten"
+                        Input("x")
+                        Output("output")
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(1)
+                            .setName("axis").build())
+                    })
+
+                    Output(createValueInfoFromTensor(x,"output",false))
+                }
+
+                val inputMap = mapOf("x" to x)
+                return listOf(OnnxGraphInput(graphToRun,listOf("x"),listOf("output"),inputMap,inputMap))
+
+
+            }
+
+            "mod" -> {
+                val x = Nd4j.scalar(2.0).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                val y = Nd4j.scalar(2.0).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val graphToRun = GraphProto {
+                    Input(createValueInfoFromTensor(x,"x"))
+                    Input(createValueInfoFromTensor(y,"y"))
+                    //Initializer(convertedTensor)
+                    Node(NodeProto {
+                        name = "output"
+                        opType = "Mod"
+                        Input("x")
+                        Input("y")
+                        Output("output")
+                        Attribute(Onnx.AttributeProto.newBuilder()
+                            .setType(Onnx.AttributeProto.AttributeType.INT)
+                            .setI(1)
+                            .setName("fmod").build())
+                    })
+
+                    Output(createValueInfoFromTensor(x,"output"))
+                }
+
+                val inputMap = mapOf("x" to x,"y" to y)
+                return listOf(OnnxGraphInput(graphToRun,listOf("x","y"),listOf("output"),inputMap,inputMap))
+
+
+            }
+            else -> {
+                throw IllegalArgumentException("Illegal op name $opName")
+            }
+
+        }
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/importer/TestOnnxFrameworkImporter.kt b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/importer/TestOnnxFrameworkImporter.kt
new file mode 100644
index 000000000..26282fadd
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/importer/TestOnnxFrameworkImporter.kt
@@ -0,0 +1,39 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.importer
+
+import junit.framework.Assert.assertNotNull
+import org.junit.Ignore
+import org.junit.Test
+import org.nd4j.common.io.ClassPathResource
+
+class TestOnnxFrameworkImporter {
+    @Test
+    @Ignore
+    fun testOnnxImporter() {
+        val onnxImport = OnnxFrameworkImporter()
+        val onnxFile = ClassPathResource("lenet.onnx").file
+        val graph  = onnxImport.runImport(onnxFile.absolutePath)
+        //note this is just a test to make sure everything runs, we test the underlying import elsewhere
+        assertNotNull(graph)
+
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/loader/TestOnnxProcessLoader.kt b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/loader/TestOnnxProcessLoader.kt
new file mode 100644
index 000000000..b780b6005
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/loader/TestOnnxProcessLoader.kt
@@ -0,0 +1,61 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.onnx.loader
+
+import junit.framework.Assert
+import onnx.Onnx
+import org.junit.jupiter.api.Test
+import org.nd4j.samediff.frameworkimport.onnx.definitions.registry
+import org.nd4j.samediff.frameworkimport.onnx.process.OnnxMappingProcessLoader
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+
+class TestOnnxProcessLoader {
+
+    @Test
+    fun testLoader() {
+        val onnxOpMappingRegistry = OpMappingRegistry(
+            "onnx", OpDescriptorLoaderHolder.nd4jOpDescriptor)
+
+        val loader = OnnxMappingProcessLoader(onnxOpMappingRegistry)
+        println(loader)
+        registry().inputFrameworkOpNames().forEach { name ->
+            if(registry().hasMappingOpProcess(name)) {
+                val process = registry().lookupOpMappingProcess(name)
+                val serialized = process.serialize()
+                val created = loader.createProcess(serialized)
+                Assert.assertEquals(
+                    "Op name $name failed with process tensor rules ${process.tensorMappingRules()} and created tensor rules ${created.tensorMappingRules()} with attributes ${process.attributeMappingRules()} and created attribute rules ${created.attributeMappingRules()}",
+                    process,
+                    created
+                )
+            }
+
+        }
+    }
+
+    @Test
+    fun saveTest() {
+        registry().saveProcessesAndRuleSet()
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/modelzoo/TestPretrainedModels.kt b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/modelzoo/TestPretrainedModels.kt
new file mode 100644
index 000000000..ee71246af
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/modelzoo/TestPretrainedModels.kt
@@ -0,0 +1,379 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+/*******************************************************************************
+ * Copyright (c) 2021 Deeplearning4j Contributors
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Apache License, Version 2.0 which is available at
+ * https://www.apache.org/licenses/LICENSE-2.0.
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ ******************************************************************************/
+package org.nd4j.samediff.frameworkimport.onnx.modelzoo
+
+import onnx.Onnx
+import org.apache.commons.io.FileUtils
+import org.junit.Ignore
+import org.junit.jupiter.api.Test
+import org.nd4j.common.resources.Downloader
+import org.nd4j.common.util.ArchiveUtils
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.onnx.importer.OnnxFrameworkImporter
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRGraph
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRGraphRunner
+import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRTensor
+import java.io.File
+import java.net.URI
+
+data class InputDataset(val dataSetIndex: Int,val inputPaths: List,val outputPaths: List)
+@Ignore
+class TestPretrainedModels {
+
+    val modelBaseUrl = "https://media.githubusercontent.com/media/onnx/models/master"
+    val modelDirectory = File(File(System.getProperty("user.home")),"models/")
+    val runOnly = emptySet()
+    val dontRunRegexes = setOf("")
+    val modelPaths = setOf("vision/body_analysis/age_gender/models/age_googlenet.onnx",
+        "vision/body_analysis/age_gender/models/gender_googlenet.onnx",
+        "vision/body_analysis/age_gender/models/vgg_ilsvrc_16_age_chalearn_iccv2015.onnx",
+        "vision/body_analysis/age_gender/models/vgg_ilsvrc_16_age_imdb_wiki.onnx",
+        "vision/body_analysis/age_gender/models/vgg_ilsvrc_16_gender_imdb_wiki.onnx",
+        //"vision/body_analysis/arcface/model/arcfaceresnet100-8.tar.gz",
+        //"vision/body_analysis/emotion_ferplus/model/emotion-ferplus-2.tar.gz",
+        //"vision/body_analysis/emotion_ferplus/model/emotion-ferplus-7.tar.gz",
+        //"vision/body_analysis/emotion_ferplus/model/emotion-ferplus-8.tar.gz",
+        "vision/body_analysis/ultraface/models/version-RFB-320.onnx",
+       // "vision/classification/alexnet/model/bvlcalexnet-3.tar.gz",
+       // "vision/classification/alexnet/model/bvlcalexnet-6.tar.gz",
+        //"vision/classification/alexnet/model/bvlcalexnet-7.tar.gz",
+       // "vision/classification/alexnet/model/bvlcalexnet-8.tar.gz",
+        "vision/classification/alexnet/model/bvlcalexnet-9.tar.gz",
+       // "vision/classification/caffenet/model/caffenet-3.tar.gz",
+       // "vision/classification/caffenet/model/caffenet-6.tar.gz",
+       // "vision/classification/caffenet/model/caffenet-7.tar.gz",
+       // "vision/classification/caffenet/model/caffenet-8.tar.gz",
+        "vision/classification/caffenet/model/caffenet-9.tar.gz",
+       // "vision/classification/densenet-121/model/densenet-3.tar.gz",
+        //"vision/classification/densenet-121/model/densenet-6.tar.gz",
+        //"vision/classification/densenet-121/model/densenet-7.tar.gz",
+        //"vision/classification/densenet-121/model/densenet-8.tar.gz",
+        "vision/classification/densenet-121/model/densenet-9.tar.gz",
+        "vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.tar.gz",
+       // "vision/classification/inception_and_googlenet/googlenet/model/googlenet-3.tar.gz",
+       // "vision/classification/inception_and_googlenet/googlenet/model/googlenet-6.tar.gz",
+       // "vision/classification/inception_and_googlenet/googlenet/model/googlenet-7.tar.gz",
+       // "vision/classification/inception_and_googlenet/googlenet/model/googlenet-8.tar.gz",
+        "vision/classification/inception_and_googlenet/googlenet/model/googlenet-9.tar.gz",
+     //   "vision/classification/inception_and_googlenet/inception_v1/model/inception-v1-3.tar.gz",
+     //   "vision/classification/inception_and_googlenet/inception_v1/model/inception-v1-6.tar.gz",
+     //   "vision/classification/inception_and_googlenet/inception_v1/model/inception-v1-7.tar.gz",
+      //  "vision/classification/inception_and_googlenet/inception_v1/model/inception-v1-8.tar.gz",
+      //  "vision/classification/inception_and_googlenet/inception_v1/model/inception-v1-9.tar.gz",
+      //  "vision/classification/inception_and_googlenet/inception_v2/model/inception-v2-3.tar.gz",
+      //  "vision/classification/inception_and_googlenet/inception_v2/model/inception-v2-6.tar.gz",
+      //  "vision/classification/inception_and_googlenet/inception_v2/model/inception-v2-7.tar.gz",
+      //  "vision/classification/inception_and_googlenet/inception_v2/model/inception-v2-8.tar.gz",
+        "vision/classification/inception_and_googlenet/inception_v2/model/inception-v2-9.tar.gz",
+        //"vision/classification/mnist/model/mnist-1.tar.gz",
+        //"vision/classification/mnist/model/mnist-7.tar.gz",
+        "vision/classification/mnist/model/mnist-8.tar.gz",
+        "vision/classification/mobilenet/model/mobilnetv2-7.tar.gz",
+        //"vision/classification/rcnn_ilsvrc13/model/rcnn-ilsvrc13-3.tar.gz",
+        //"vision/classification/rcnn_ilsvrc13/model/rcnn-ilsvrc13-6.tar.gz",
+        //"vision/classification/rcnn_ilsvrc13/model/rcnn-ilsvrc13-7.tar.gz",
+        //"vision/classification/rcnn_ilsvrc13/model/rcnn-ilsvrc13-8.tar.gz",
+        "vision/classification/rcnn_ilsvrc13/model/rcnn-ilsvrc13-9.tar.gz",
+        "vision/classification/resnet/model/resnet101-v1-7.tar.gz",
+        "vision/classification/resnet/model/resnet152-v2-7.tar.gz",
+        "vision/classification/resnet/model/resnet18-v1-7.tar.gz",
+        "vision/classification/resnet/model/resnet18-v2-7.tar.gz",
+        "vision/classification/resnet/model/resnet34-v1-7.tar.gz",
+        "vision/classification/resnet/model/resnet34-v2-7.tar.gz",
+        //"vision/classification/resnet/model/resnet50-caffe2-v1-3.tar.gz",
+        //"vision/classification/resnet/model/resnet50-caffe2-v1-6.tar.gz",
+        //"vision/classification/resnet/model/resnet50-caffe2-v1-7.tar.gz",
+        //"vision/classification/resnet/model/resnet50-caffe2-v1-8.tar.gz",
+        //"vision/classification/resnet/model/resnet50-caffe2-v1-9.tar.gz",
+        //"vision/classification/resnet/model/resnet50-v1-7.tar.gz",
+        //"vision/classification/resnet/model/resnet50-v2-7.tar.gz",
+        //"vision/classification/shufflenet/model/shufflenet-3.tar.gz",
+        //"vision/classification/shufflenet/model/shufflenet-6.tar.gz",
+        //"vision/classification/shufflenet/model/shufflenet-7.tar.gz",
+        //"vision/classification/shufflenet/model/shufflenet-8.tar.gz",
+        "vision/classification/shufflenet/model/shufflenet-9.tar.gz",
+        "vision/classification/shufflenet/model/shufflenet-v2-10.tar.gz",
+        //"vision/classification/squeezenet/model/squeezenet1.0-3.tar.gz",
+        //"vision/classification/squeezenet/model/squeezenet1.0-6.tar.gz",
+        //"vision/classification/squeezenet/model/squeezenet1.0-7.tar.gz",
+        //"vision/classification/squeezenet/model/squeezenet1.0-8.tar.gz",
+        "vision/classification/squeezenet/model/squeezenet1.0-9.tar.gz",
+        "vision/classification/squeezenet/model/squeezenet1.1-7.tar.gz",
+        "vision/classification/vgg/model/vgg16-7.tar.gz",
+        "vision/classification/vgg/model/vgg16-bn-7.tar.gz",
+        "vision/classification/vgg/model/vgg19-7.tar.gz",
+       // "vision/classification/vgg/model/vgg19-caffe2-3.tar.gz",
+       // "vision/classification/vgg/model/vgg19-caffe2-6.tar.gz",
+       // "vision/classification/vgg/model/vgg19-caffe2-7.tar.gz",
+       // "vision/classification/vgg/model/vgg19-caffe2-8.tar.gz",
+        "vision/classification/vgg/model/vgg19-caffe2-9.tar.gz",
+       // "vision/classification/zfnet-512/model/zfnet512-3.tar.gz",
+       // "vision/classification/zfnet-512/model/zfnet512-6.tar.gz",
+       // "vision/classification/zfnet-512/model/zfnet512-7.tar.gz",
+       // "vision/classification/zfnet-512/model/zfnet512-8.tar.gz",
+        "vision/classification/zfnet-512/model/zfnet512-9.tar.gz",
+        "vision/object_detection_segmentation/duc/model/ResNet101-DUC-7.tar.gz",
+        "vision/object_detection_segmentation/faster-rcnn/model/FasterRCNN-10.tar.gz",
+        "vision/object_detection_segmentation/fcn/model/fcn-resnet101-11.tar.gz",
+        "vision/object_detection_segmentation/fcn/model/fcn-resnet50-11.tar.gz",
+        "vision/object_detection_segmentation/mask-rcnn/model/MaskRCNN-10.tar.gz",
+        "vision/object_detection_segmentation/retinanet/model/retinanet-9.tar.gz",
+        "vision/object_detection_segmentation/ssd-mobilenetv1/model/ssd_mobilenet_v1_10.tar.gz",
+        "vision/object_detection_segmentation/ssd/model/ssd-10.tar.gz",
+        "vision/object_detection_segmentation/tiny-yolov2/model/tinyyolov2-7.tar.gz",
+        "vision/object_detection_segmentation/tiny-yolov2/model/tinyyolov2-8.tar.gz",
+        "vision/object_detection_segmentation/tiny-yolov3/model/tiny-yolov3-11.tar.gz",
+        "vision/object_detection_segmentation/yolov2-coco/model/yolov2-coco-9.onnx",
+        "vision/object_detection_segmentation/yolov3/model/yolov3-10.tar.gz",
+        "vision/object_detection_segmentation/yolov4/model/yolov4.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/candy-8.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/candy-9.tar.gz",
+        "/vision/style_transfer/fast_neural_style/model/mosaic-8.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/mosaic-9.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/pointilism-8.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/pointilism-9.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/rain-princess-9.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz",
+        "vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz",
+        "vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.tar.gz",
+        "text/machine_comprehension/bert-squad/model/bertsquad-10.tar.gz",
+        "text/machine_comprehension/bert-squad/model/bertsquad-8.tar.gz",
+        "text/machine_comprehension/bidirectional_attention_flow/model/bidaf-9.tar.gz",
+        "text/machine_comprehension/gpt-2/model/gpt2-10.tar.gz",
+        "text/machine_comprehension/gpt-2/model/gpt2-lm-head-10.tar.gz",
+        "text/machine_comprehension/roberta/model/roberta-base-11.tar.gz",
+        "text/machine_comprehension/roberta/model/roberta-sequence-classification-9.tar.gz",
+        "text/machine_comprehension/t5/model/t5-decoder-with-lm-head-12.tar.gz",
+        "text/machine_comprehension/t5/model/t5-encoder-12.tar.gz"
+
+    )
+
+
+    init {
+    }
+
+    fun shouldRun(path: String): Boolean {
+        if(path.contains(".onnx"))
+            return false
+        else if(!dontRunRegexes.isEmpty()) {
+            for(regex in dontRunRegexes) {
+                if(path.matches(regex.toRegex()))
+                    return false
+            }
+        }
+
+        return true
+    }
+
+
+    @Test
+    @Ignore
+    fun test() {
+        modelPaths.forEach {
+            pullModel(it)
+        }
+
+        if(!runOnly.isEmpty()) {
+            runOnly.filter { input -> shouldRun(input) }.forEach { path ->
+                testModel(path)
+            }
+        }
+
+        else
+            modelPaths.filter { input -> shouldRun(input) }.forEach { path ->
+                testModel(path)
+            }
+    }
+
+    fun testModel(path: String) {
+        val modelArchive = File(modelDirectory,filenameFromPath(path))
+        pullModel(path)
+        val modelFile = modelFromArchive(path)
+        val onnxImporter = OnnxFrameworkImporter()
+        val inputDatasets = modelDatasetsForArchive(path)
+        val loadedGraph = Onnx.ModelProto.parseFrom(FileUtils.readFileToByteArray(modelFile))
+        val separateUpdatedGraph = Onnx.ModelProto.parseFrom(FileUtils.readFileToByteArray(File("C:\\Users\\agibs\\models\\model-12.onnx")))
+        val upgradedGraph = OnnxIRGraph(separateUpdatedGraph.graph, onnxImporter.registry)
+        val onnxIRGraph = OnnxIRGraph(loadedGraph.graph,onnxImporter.registry)
+        val toPrint = StringBuilder()
+        loadedGraph.graph.initializerList.forEach {
+            toPrint.append(it.name)
+            toPrint.append(it.dimsList.toString())
+            toPrint.append("\n")
+        }
+
+        loadedGraph.graph.inputList.forEach {
+           println(it)
+        }
+
+        println("Loaded initializers  $toPrint")
+        println("Running model from model path $path")
+        inputDatasets.forEach {  input ->
+            val dynamicVariables = HashMap()
+            val outputAssertions = HashMap()
+            val listOfInputNames = ArrayList()
+            val listOfOutputNames = ArrayList()
+            input.inputPaths.forEachIndexed { index,inputTensorPath ->
+                val tensorName = "input_tensor_$index.pb"
+                val inputFile = File(modelDirectory,tensorName)
+                ArchiveUtils.tarGzExtractSingleFile(modelArchive,inputFile,inputTensorPath)
+                val bytesForTensor = FileUtils.readFileToByteArray(inputFile)
+                val tensor = Onnx.TensorProto.parseFrom(bytesForTensor)
+                val converted = OnnxIRTensor(tensor).toNd4jNDArray()
+                println("Converted to $converted")
+                dynamicVariables[onnxIRGraph.inputAt(index)] = converted
+                listOfInputNames.add(onnxIRGraph.inputAt(index))
+            }
+
+            input.outputPaths.forEachIndexed { index,outputTensorPath ->
+                val tensorName = "output_tensor_$index.pb"
+                val inputFile = File(modelDirectory,tensorName)
+                ArchiveUtils.tarGzExtractSingleFile(modelArchive,inputFile,outputTensorPath)
+                val bytesForTensor = FileUtils.readFileToByteArray(inputFile)
+                val tensor = Onnx.TensorProto.parseFrom(bytesForTensor)
+                outputAssertions[onnxIRGraph.outputAt(index)] = OnnxIRTensor(tensor).toNd4jNDArray()
+                listOfOutputNames.add(onnxIRGraph.outputAt(index))
+            }
+
+            val debugOutputNames = listOf("conv2_1","norm2_1","pool2_1","conv1_1","norm1_1","pool1_1")
+            val onnxGraphRunner = OnnxIRGraphRunner(upgradedGraph,listOfInputNames,debugOutputNames)
+            val outputs = onnxGraphRunner.run(dynamicVariables)
+            val debugPrint = StringBuilder()
+            outputs.forEach { name, array ->
+                debugPrint.append("$name and shape ${array.shapeInfoToString()}\n")
+            }
+            println(debugPrint)
+            val imported = onnxImporter.runImport(modelFile.absolutePath,dynamicVariables)
+            println(imported.summary())
+            val batchOutput = imported.batchOutput()
+            batchOutput.placeholders = dynamicVariables
+            batchOutput.outputs = onnxIRGraph.graphOutputs()
+            batchOutput.outputSingle()
+            //assertEquals("Onnx runtime outputs not equal to list of assertions pre provided",outputs,outputAssertions)
+           // assertEquals("Onnx runtime outputs not equal to nd4j outputs",outputAssertions,nd4jOutputs)
+        }
+
+    }
+
+    fun filenameFromPath(modelPath: String): String {
+        return modelPath.split("/").last()
+    }
+
+    fun modelFromArchive(modelPath: String): File {
+        val modelArchive = File(modelDirectory,filenameFromPath(modelPath))
+        val modelPathInArchive = ArchiveUtils.tarGzListFiles(modelArchive).first { input -> input.contains(".onnx")
+                && !input.split("/").last().startsWith("._")}
+        val modelName = modelPathInArchive.split("/").last()
+        val finalModelPath = File(modelDirectory,modelName)
+        ArchiveUtils.tarGzExtractSingleFile(modelArchive,finalModelPath,modelPathInArchive)
+        return finalModelPath
+    }
+
+    fun modelDatasetsForArchive(modelPath: String): List {
+        val modelArchive = File(modelDirectory,filenameFromPath(modelPath))
+        val listedFiles = ArchiveUtils.tarGzListFiles(modelArchive).filter { input -> input.contains("test_data_set") }
+        val mapOfInputsDataSets = HashMap>()
+        val mapOfOutputDataSets = HashMap>()
+        val numDatasets = numTestDataSets(modelPath)
+        val ret = ArrayList()
+        listedFiles.forEach { name ->
+            if(name.contains("/test_data_set")) {
+                 val index = name.split("/").filter { input -> input.isNotEmpty() && input.matches("test_data_set.*".toRegex())}
+                    .map { input ->
+                    Integer.parseInt(input.replace("test_data_set_","")) }.first()
+                if(!mapOfInputsDataSets.containsKey(index)) {
+                    val newList = ArrayList()
+                    mapOfInputsDataSets[index] = newList
+                }
+
+                if(!mapOfOutputDataSets.containsKey(index)) {
+                    val newList = ArrayList()
+                    mapOfOutputDataSets[index] = newList
+                }
+
+                val finalName = name.split("/").last()
+                if(finalName.matches("input_\\d+\\.pb".toRegex())) {
+                    mapOfInputsDataSets[index]!!.add(name)
+                }
+
+                 if(finalName.matches("output_\\d+\\.pb".toRegex())) {
+                    mapOfOutputDataSets[index]!!.add(name)
+                }
+            }
+
+        }
+
+        for(i in 0 until numDatasets) {
+            val inputs = mapOfInputsDataSets[i]!!
+            val outputs = mapOfOutputDataSets[i]!!
+            val inputDataset = InputDataset(i,inputs,outputs)
+            ret.add(inputDataset)
+        }
+
+        return ret
+
+    }
+
+
+    fun numTestDataSets(modelPath: String): Int {
+        val listOfFiles = ArchiveUtils.tarGzListFiles(File(modelDirectory,filenameFromPath(modelPath)))
+        var currentMax = 0
+        listOfFiles.filter { input -> input.contentEquals("test_data_set") }.forEach { name ->
+            val num = Integer.parseInt(name.replace("test_data_set_",""))
+            currentMax = num.coerceAtLeast(currentMax)
+        }
+
+        //0 index based
+        return (currentMax + 1)
+    }
+
+    fun pullModel(modelPath: String) {
+        val modelUrl = URI.create("$modelBaseUrl/$modelPath").toURL()
+        println("Download model $modelPath from $modelUrl")
+        val fileName = modelPath.split("/").last()
+        val modelFileArchive =  File(modelDirectory,fileName)
+        if(modelFileArchive.exists()) {
+            println("Skipping archive ${modelFileArchive.absolutePath}")
+            return
+        }
+        FileUtils.copyURLToFile( modelUrl,modelFileArchive, Downloader.DEFAULT_CONNECTION_TIMEOUT, Downloader.DEFAULT_CONNECTION_TIMEOUT)
+        if(modelFileArchive.endsWith(".gz"))
+            println("Files in archive  ${ArchiveUtils.tarGzListFiles(modelFileArchive)}")
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/processing/GroupConvPreProcessingRule.kt b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/processing/GroupConvPreProcessingRule.kt
new file mode 100644
index 000000000..a087fb221
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/src/test/kotlin/org/nd4j/samediff/frameworkimport/onnx/processing/GroupConvPreProcessingRule.kt
@@ -0,0 +1,109 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.onnx.processing
+
+import org.nd4j.autodiff.functions.DifferentialFunction
+import org.nd4j.autodiff.samediff.SDVariable
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.autodiff.samediff.internal.SameDiffOp
+import org.nd4j.enums.DataFormat
+import org.nd4j.enums.WeightsFormat
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ops.DynamicCustomOp
+import org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig
+import org.nd4j.samediff.frameworkimport.hooks.PreImportHook
+import org.nd4j.samediff.frameworkimport.hooks.annotations.HookResult
+import org.nd4j.samediff.frameworkimport.hooks.annotations.PreHookRule
+import java.lang.IllegalArgumentException
+
+@PreHookRule(nodeNames = ["conv2_1"],opNames = [],"onnx")
+class GroupConvPreProcessingRule: PreImportHook {
+    override fun preProcess(
+        op: SameDiffOp,
+        sd: SameDiff,
+        attributes: Map,
+        descriptor: OpNamespace.OpDescriptor
+    ): HookResult {
+        if(op.op.opName() != "conv2d") {
+            throw IllegalArgumentException("Illegal op being processed of type ${op.op.opName()} with node name ${op.op.ownName}")
+        }
+
+        val numSizeSplits = attributes.getOrDefault("group",1) as Long
+        if(numSizeSplits.toInt() == 1) {
+            //no need to split, just perform 1 convolution op
+            return HookResult()
+        }
+
+        val intArgs = descriptor.argDescriptorList.filter { input -> input.argType == OpNamespace.ArgDescriptor.ArgType.INT64 }.sortedBy { input -> input.argIndex }
+        val config = Conv2DConfig.builder()
+            .sH(intArgs[2].int64Value)
+            .sW(intArgs[3].int64Value)
+            .kH(intArgs[0].int64Value)
+            .kW(intArgs[1].int64Value)
+            .pH(intArgs[4].int64Value)
+            .pW(intArgs[5].int64Value)
+            .dH(intArgs[6].int64Value)
+            .dW(intArgs[7].int64Value)
+            .isSameMode(intArgs[8].int64Value > 0)
+            .weightsFormat(WeightsFormat.values()[intArgs[10].int64Value.toInt()])
+            .dataFormat(DataFormat.values()[intArgs[9].int64Value.toInt()].name)
+            .build()
+
+        val listOfFunctions = ArrayList()
+        val weights = sd.getVariable(op.inputsToOp[1])
+        //for onnx, this is the number of ops
+        val split = sd.split(op.name + "_split",weights,numSizeSplits.toInt(),1)
+        val resultMap = HashMap>()
+        /**
+         * NOTE: Need to look in to how to wire up inputs and outputs properly.
+         * May need HookResult to return an indicator of variables and ops to remove.
+         */
+        /**
+         * TODO: figure out how to change weights to be divided by 2 in size.
+         * Run in to : CUSTOM CONV2D OP: wrong shape of weights array, expected is [256, 24, 5, 5], but got [256, 48, 5, 5] instead !
+         * We could also try getting rid of validation. Either way we may need to split up the weights by the number of group occurrences.
+         * We technically seem to be doing that down below but that doesn't seem to be enough.
+         *
+         * The input/output variable weight shape may also not be properly updated. Need to verify.
+         */
+        val outputVars = ArrayList()
+        split.forEachIndexed { index,input ->
+            val varName = "${op.name}_split/$index"
+            if(sd.hasVariable(varName))
+                sd.variables.remove(varName)
+            val outputVariable = sd.cnn().conv2d(varName,input,weights,config)
+            resultMap[outputVariable.name()] = listOf(outputVariable)
+            outputVars.add(outputVariable)
+        }
+
+        sd.ops.remove(op.name)
+        sd.variables.remove(op.name)
+
+        /**
+         * TODO: Fix output names and potentially look for other inputs
+         * in graph where we need to redirect the input/output names
+         */
+        val toTypedArray = outputVars.toTypedArray()
+        val concat = sd.concat(op.name,0,*toTypedArray)
+        resultMap[op.name] = listOf(concat)
+
+        return HookResult(outputVariables = resultMap,listOfFunctions,proceedWithInit = false)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-onnx/src/test/resources/lenet.onnx b/nd4j/samediff-import/samediff-import-onnx/src/test/resources/lenet.onnx
new file mode 100644
index 000000000..c858b347d
Binary files /dev/null and b/nd4j/samediff-import/samediff-import-onnx/src/test/resources/lenet.onnx differ
diff --git a/nd4j/samediff-import/samediff-import-onnx/variables-added-new.txt b/nd4j/samediff-import/samediff-import-onnx/variables-added-new.txt
new file mode 100644
index 000000000..140858f58
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-onnx/variables-added-new.txt
@@ -0,0 +1 @@
+output,output
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/ops-added-new.txt b/nd4j/samediff-import/samediff-import-tensorflow/ops-added-new.txt
new file mode 100644
index 000000000..efaa60404
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/ops-added-new.txt
@@ -0,0 +1,5 @@
+Const,in_0
+Const,Roll/shift
+Const,Roll/axis
+Identity,in_0/read
+Roll,Roll
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/ops-added-old.txt b/nd4j/samediff-import/samediff-import-tensorflow/ops-added-old.txt
new file mode 100644
index 000000000..efaa60404
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/ops-added-old.txt
@@ -0,0 +1,5 @@
+Const,in_0
+Const,Roll/shift
+Const,Roll/axis
+Identity,in_0/read
+Roll,Roll
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/ops-imported-new.txt b/nd4j/samediff-import/samediff-import-tensorflow/ops-imported-new.txt
new file mode 100644
index 000000000..6a6ace417
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/ops-imported-new.txt
@@ -0,0 +1,2 @@
+Identity,in_0/read
+Roll,Roll
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/ops-imported-old.txt b/nd4j/samediff-import/samediff-import-tensorflow/ops-imported-old.txt
new file mode 100644
index 000000000..6a6ace417
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/ops-imported-old.txt
@@ -0,0 +1,2 @@
+Identity,in_0/read
+Roll,Roll
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/ops-removed-new.txt b/nd4j/samediff-import/samediff-import-tensorflow/ops-removed-new.txt
new file mode 100644
index 000000000..99e2ebb0b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/ops-removed-new.txt
@@ -0,0 +1,5 @@
+in_0
+Roll/shift
+Roll/axis
+in_0/read
+Roll
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/ops-removed-old.txt b/nd4j/samediff-import/samediff-import-tensorflow/ops-removed-old.txt
new file mode 100644
index 000000000..99e2ebb0b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/ops-removed-old.txt
@@ -0,0 +1,5 @@
+in_0
+Roll/shift
+Roll/axis
+in_0/read
+Roll
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/pom.xml b/nd4j/samediff-import/samediff-import-tensorflow/pom.xml
new file mode 100644
index 000000000..334a75bac
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/pom.xml
@@ -0,0 +1,63 @@
+
+
+
+
+
+  4.0.0
+
+  samediff-import-tensorflow
+
+  
+    org.nd4j
+    samediff-import
+    1.0.0-SNAPSHOT
+  
+
+  samediff-import-tensorflow
+
+  
+    UTF-8
+  
+
+  
+    
+      
+        org.jetbrains.kotlin
+        kotlin-maven-plugin
+      
+      
+        org.apache.maven.plugins
+        maven-compiler-plugin
+      
+    
+  
+
+  
+    
+      org.nd4j
+      samediff-import-api
+      ${project.version}
+    
+  
+
+
+
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowImportGraph.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowImportGraph.kt
new file mode 100644
index 000000000..eb77c13d6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowImportGraph.kt
@@ -0,0 +1,26 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow
+
+import org.nd4j.samediff.frameworkimport.ImportGraph
+import org.tensorflow.framework.*
+
+class TensorflowImportGraph: ImportGraph() {
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowImportGraphHolder.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowImportGraphHolder.kt
new file mode 100644
index 000000000..09773a1aa
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowImportGraphHolder.kt
@@ -0,0 +1,36 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow
+
+import org.nd4j.samediff.frameworkimport.ImportGraph
+import org.nd4j.samediff.frameworkimport.ImportGraphHolder
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+
+class TensorflowImportGraphHolder: ImportGraphHolder {
+    override fun frameworkName(): String {
+        return "tensorflow"
+    }
+
+    override fun  createImportGraph(
+    ): ImportGraph {
+        return TensorflowImportGraph() as  ImportGraph
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowProtobufExtensions.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowProtobufExtensions.kt
new file mode 100644
index 000000000..dc6159b20
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowProtobufExtensions.kt
@@ -0,0 +1,383 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.tensorflow.process.TensorflowMappingProcess
+import org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute.TensorflowArgDescriptorConstant
+import org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor.NDArrayMappingRule
+import org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor.TensorflowMultiInputIndexMappingRule
+import org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor.TensorflowPassThroughMultiTensorMapping
+import org.nd4j.shade.protobuf.ByteString
+import org.tensorflow.framework.*
+import java.nio.charset.Charset
+
+fun GraphDef.nodeByName(name: String): NodeDef {
+    val nodeNames = nodeList.map { node -> node.name }
+    return nodeList.first { it.name == name }!!
+}
+
+fun ListAttrValue(vararg i: Long): AttrValue.ListValue =
+    AttrValue.ListValue.newBuilder().apply {
+        i.forEach { addI(it) }
+    }.build()
+
+fun TensorProto(block: TensorProto.Builder.() -> Unit): TensorProto {
+    return TensorProto.newBuilder().apply(block).build()
+}
+
+fun TensorProto.Builder.RawData(byteArray: ByteArray) {
+    this.tensorContent = ByteString.copyFrom(byteArray)
+}
+
+fun TensorProto.Builder.Shape(shape: List) {
+    this.tensorShape = TensorShapeProto {
+        Dims(shape)
+    }
+}
+
+fun TensorProto.Builder.DataType(value: DataType) {
+    this.dtype = value
+}
+
+fun TensorProto.Builder.String(value: String) {
+    this.addStringVal(ByteString.copyFrom(value.toByteArray(Charset.defaultCharset())))
+}
+
+fun TensorProto.Builder.StringData(value: List) {
+    this.addAllStringVal(value.map { value -> ByteString.copyFrom(value.toByteArray(Charset.defaultCharset())) })
+}
+
+fun TensorProto.Builder.Boolean(value: Boolean) {
+    this.addBoolVal(value)
+}
+
+fun TensorProto.Builder.BooleanData(value: List) {
+    this.addAllBoolVal(value)
+}
+
+fun TensorProto.Builder.Double(value: Double) {
+    this.addDoubleVal(value)
+}
+
+fun TensorProto.Builder.Int64Data(value: List) {
+    this.addAllInt64Val(value)
+}
+
+
+fun TensorProto.Builder.Int32Data(value: List) {
+    this.addAllIntVal(value)
+}
+
+fun TensorProto.Builder.DoubleData(value: List) {
+    this.addAllDoubleVal(value)
+}
+
+fun TensorProto.Builder.Float(value: Float) {
+    this.addFloatVal(value)
+}
+
+fun TensorProto.Builder.FloatData(value: List) {
+    this.addAllFloatVal(value)
+}
+
+fun TensorShapeProto.Builder.Dim(name: String, size: Long) {
+    this.addDim(TensorShapeProto.Dim.newBuilder().setName(name).setSize(size).build())
+}
+
+fun Dim(block: TensorShapeProto.Dim.Builder.() -> Unit): TensorShapeProto.Dim {
+    return TensorShapeProto.Dim.newBuilder().apply(block).build()
+}
+
+fun TensorShapeProto.Builder.Dims(shape: List) {
+    shape.forEachIndexed  { index, value ->  this.addDim(
+        Dim {
+            name = index.toString()
+            size = value
+        })
+    }
+}
+
+fun TensorShapeProto(block: TensorShapeProto.Builder.() -> Unit): TensorShapeProto {
+    return TensorShapeProto.newBuilder().apply(block).build()
+}
+
+fun AttrValue(block: AttrValue.Builder.() -> Unit): AttrValue {
+    return AttrValue.newBuilder().apply(block).build()
+}
+
+
+
+fun AttrValue.Builder.ListDataType(listDataTypes: List) {
+    this.listBuilder.addAllType(listDataTypes)
+}
+
+fun AttrValue.Builder.ListInts(listInts: List) {
+    this.listBuilder.addAllI(listInts)
+}
+
+fun AttrValue.Builder.LongVal(intVal: Long) {
+    this.i = intVal
+}
+
+fun AttrValue.Builder.ListFloats(listFloats: List) {
+    this.listBuilder.addAllF(listFloats)
+}
+
+
+
+fun GraphDef(block: GraphDef.Builder.() -> Unit): GraphDef {
+    return GraphDef.newBuilder().apply(block).build()
+}
+
+fun GraphDef.Builder.Node(inputNode: NodeDef) {
+    this.addNode(inputNode)
+}
+
+fun String.toByteString() = ByteString.copyFrom(this, Charset.defaultCharset())
+
+fun OpDef(block: OpDef.Builder.() -> Unit): OpDef {
+    return OpDef.newBuilder().apply(block).build()
+}
+
+fun NodeDef(block: NodeDef.Builder.() -> Unit): NodeDef {
+    return NodeDef.newBuilder().apply(block).build()
+}
+
+fun ListValue(block: AttrValue.ListValue.Builder.() -> Unit): AttrValue.ListValue {
+    return AttrValue.ListValue.newBuilder().apply(block).build()
+}
+
+fun AttrValue.ListValue.Builder.LongItems(value: List) {
+    this.addAllI(value)
+}
+
+fun AttrValue.ListValue.Builder.IntItems(value: List) {
+    this.addAllI(value.map { it.toLong() })
+}
+
+fun AttrValue.ListValue.Builder.IntItem(value: Long) {
+    this.addI(value)
+}
+
+fun NodeDef.Builder.Input(name: String) {
+    this.addInput(name)
+}
+
+fun NodeDef.Builder.Attribute(name: String, value: AttrValue) {
+    this.putAttr(name, value)
+}
+
+fun OpList.findOp(name: String): OpDef {
+    if(!this.opList.map { input -> input.name }.contains(name)) {
+        throw IllegalArgumentException("Op $name not found!")
+    }
+    return this.opList.first { it.name == name }!!
+}
+
+
+fun mappingListNDArrays(inputs: MutableMap) : TensorflowMultiInputIndexMappingRule {
+    return TensorflowMultiInputIndexMappingRule(
+        mappingNamesToPerform = inputs
+    )
+}
+
+
+fun passThroughNDArrayInputs() : TensorflowPassThroughMultiTensorMapping {
+    return TensorflowPassThroughMultiTensorMapping()
+}
+
+fun booleanConstant(inputName: String, constantValue: Boolean,argumentIndex: Int): List {
+    return listOf(argDescriptorConstant(listOf(
+        ArgDescriptor {
+            name = inputName
+            boolValue = constantValue
+            argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+            argIndex = argumentIndex
+        }
+    )))
+}
+
+fun doubleConstant(inputName: String, constantValue: Double, argumentIndex: Int): List {
+    return listOf(argDescriptorConstant(listOf(
+        ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+            name = inputName
+            doubleValue = constantValue
+            argIndex = argumentIndex
+        }
+    )))
+}
+
+fun intConstant(inputName: String, constantValue: Int, argumentIndex: Int): List {
+    return listOf(argDescriptorConstant(listOf(
+        ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            name = inputName
+            int64Value = constantValue.toLong()
+            argIndex = argumentIndex
+        }
+    )))
+}
+
+fun mappingNDArrayInputs(inputs: MutableMap) : NDArrayMappingRule {
+    return NDArrayMappingRule(
+        mappingNamesToPerform = inputs
+    )
+}
+
+fun mapSameName(names: List): List {
+    return listOf(mappingNDArrayInputs(names.map { name -> Pair(name, name) }.toMap().toMutableMap()))
+}
+
+fun mapTensorNamesWithOp(inputFrameworkOpName: String,
+                         opName: String,
+                         tensorflowOpRegistry: OpMappingRegistry,
+                         tensorNames: MutableMap,
+                         attributeMappingRules: List> = emptyList()): TensorflowMappingProcess {
+    return TensorflowMappingProcess(
+        opName = opName,
+        inputFrameworkOpName = inputFrameworkOpName,
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(tensorNames)),
+        attributeMappingRules = attributeMappingRules.toMutableList()
+    )
+
+}
+
+fun multipleNameMapping(inputFrameworkOpNames: List,
+                        tensorflowOpRegistry: OpMappingRegistry,
+                        opName: String, tensorNames: MutableMap,
+                        attributeMappingRules: List> = emptyList()):
+        List {
+    return inputFrameworkOpNames.map {
+        val attrCopy = attributeMappingRules.toMutableList()
+        attrCopy.forEach { attr ->
+            attr.modifyInputFrameworkOpName(it)
+        }
+        mapTensorNamesWithOp(
+            inputFrameworkOpName = it,
+            opName = opName,
+            tensorNames = tensorNames,
+            attributeMappingRules = attrCopy,
+            tensorflowOpRegistry = tensorflowOpRegistry
+        )
+    }
+}
+
+fun defineBiasAdd(names :List =  listOf("BiasAdd"),
+                  tensorflowOpRegistry: OpMappingRegistry) {
+    names.forEach {
+        TensorflowMappingProcess(
+            opName = "biasadd",
+            inputFrameworkOpName = it,
+            opMappingRegistry = tensorflowOpRegistry,
+            tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "value", "bias" to "bias"))),
+            attributeMappingRules = listOf(
+                stringEqualsRule("nchw"
+                ,inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 0)
+            ))
+
+    }
+}
+
+fun defineTensorflowSingleTransform(inputOpName: String,
+                                    inputFrameworkOpName: String,
+                                    tensorflowOpRegistry: OpMappingRegistry
+): TensorflowMappingProcess {
+    return TensorflowMappingProcess(
+        opName = inputOpName,
+        inputFrameworkOpName = inputFrameworkOpName, tensorMappingRules = listOf(
+            NDArrayMappingRule(
+                mappingNamesToPerform = mutableMapOf("input" to "x")
+            )
+        ),
+        attributeMappingRules = listOf(
+            valueMapping(mutableMapOf("dataType" to "T")),
+            argDescriptorConstant(
+            listOf(
+                ArgDescriptor {
+                    name = "inPlace"
+                    boolValue = false
+                    argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                    argIndex = 0
+                }
+            )
+        )),
+        opMappingRegistry = tensorflowOpRegistry)
+
+}
+
+fun defineSingularReduce(inputFrameworkOpName: String,
+                         inputOpName: String,
+                         tensorflowOpRegistry: OpMappingRegistry
+): TensorflowMappingProcess {
+    return mapTensorNamesWithOp(
+        inputFrameworkOpName = inputFrameworkOpName,
+        opName = inputOpName,
+        attributeMappingRules = listOf(
+            valueMapping(mutableMapOf("keepDims" to "keep_dims")),
+            ndarrayToIntList(mutableMapOf("dimensions" to "reduction_indices"))
+        ),
+        tensorNames = mutableMapOf("input" to "input","dimensions" to "reduction_indices"),
+        tensorflowOpRegistry = tensorflowOpRegistry
+    )
+}
+
+fun definePairWiseReduce(inputFrameworkOpName: String, inputOpName: String,tensorflowOpRegistry: OpMappingRegistry): TensorflowMappingProcess {
+    return mapTensorNamesWithOp(
+        inputFrameworkOpName = inputFrameworkOpName,
+        opName = inputOpName,
+        attributeMappingRules = listOf(
+            valueMapping(mutableMapOf("keepDims" to "keep_dims")),
+            ndarrayToIntList(mutableMapOf("dimensions" to "reduction_indices"))
+        ),
+        tensorNames = mutableMapOf("input" to "input"),
+        tensorflowOpRegistry = tensorflowOpRegistry
+    )
+}
+
+fun defineTensorflowPairwiseTransforms(opName: String, inputFrameworkOpName: String,
+                                       tensorflowOpRegistry: OpMappingRegistry,
+                                       firstOutputName: String = "input",
+                                       secondOutputName: String = "y",
+                                       firstInput: String = "x", secondInput: String = "y") : TensorflowMappingProcess {
+    return TensorflowMappingProcess(
+        opName = opName,
+        tensorMappingRules = listOf(
+            NDArrayMappingRule(
+                mappingNamesToPerform = mutableMapOf(
+                    firstOutputName to firstInput,
+                    secondOutputName to secondInput
+                )
+            )
+        ),
+        inputFrameworkOpName = inputFrameworkOpName,
+        inputFramework = "tensorflow",
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace", constantValue = false, argumentIndex = 0)[0]
+            ,valueMapping(mutableMapOf("dataType" to "T"))),
+        opMappingRegistry = tensorflowOpRegistry
+    )
+}
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowRuleDeclarations.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowRuleDeclarations.kt
new file mode 100644
index 000000000..88cfdc7be
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TensorflowRuleDeclarations.kt
@@ -0,0 +1,349 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow
+
+import org.nd4j.common.util.ArrayUtil
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute.*
+import org.tensorflow.framework.DataType
+import org.tensorflow.framework.TensorProto
+
+
+fun convertNDArrayToTensorflowTensor(arrayToConvert: INDArray): TensorProto {
+    if(arrayToConvert.data() == null)
+        return TensorProto.getDefaultInstance()
+    when(arrayToConvert.dataType()) {
+        org.nd4j.linalg.api.buffer.DataType.FLOAT -> {
+            return TensorProto {
+                FloatData(arrayToConvert.data().asFloat().toList())
+                Shape(arrayToConvert.shape().toList())
+                dtype = DataType.DT_FLOAT
+            }
+        }
+        org.nd4j.linalg.api.buffer.DataType.INT32 -> {
+            return  TensorProto {
+                Int32Data(arrayToConvert.data().asInt().toList())
+                Shape(arrayToConvert.shape().toList())
+                dtype = DataType.DT_INT32
+            }
+        }
+        org.nd4j.linalg.api.buffer.DataType.INT64 -> {
+            return  TensorProto {
+                Int64Data(arrayToConvert.data().asLong().toList())
+                Shape(arrayToConvert.shape().toList())
+                dtype = DataType.DT_INT64
+            }
+        }
+        org.nd4j.linalg.api.buffer.DataType.DOUBLE -> {
+            return  TensorProto {
+                DoubleData(arrayToConvert.data().asDouble().toList())
+                Shape(arrayToConvert.shape().toList())
+                dtype = DataType.DT_DOUBLE
+            }
+        }
+        org.nd4j.linalg.api.buffer.DataType.UTF8 -> {
+            return  TensorProto {
+                val totalLength = ArrayUtil.prod(*arrayToConvert.shape())
+                val stringList = ArrayList()
+                for(i in 0 until totalLength) {
+                    val currString = arrayToConvert.getString(i.toLong())
+                    stringList.add(currString)
+                }
+
+                StringData(stringList)
+                Shape(arrayToConvert.shape().toList())
+                dtype = DataType.DT_STRING
+            }
+        }
+
+        else -> {
+            return  TensorProto {
+                dtype = convertNd4jDataTypeToTensorflow(arrayToConvert.dataType())
+                RawData(arrayToConvert.data().asBytes())
+                Shape(arrayToConvert.shape().toList())
+
+            }
+        }
+
+    }
+}
+
+fun convertNd4jDataTypeToTensorflow(dataType: org.nd4j.linalg.api.buffer.DataType) : DataType {
+    when(dataType) {
+        org.nd4j.linalg.api.buffer.DataType.DOUBLE -> return DataType.DT_DOUBLE
+        org.nd4j.linalg.api.buffer.DataType.FLOAT16 -> return DataType.DT_HALF
+        org.nd4j.linalg.api.buffer.DataType.FLOAT -> return DataType.DT_FLOAT
+        org.nd4j.linalg.api.buffer.DataType.INT32 -> return DataType.DT_INT32
+        org.nd4j.linalg.api.buffer.DataType.UINT32 -> return DataType.DT_UINT32
+        org.nd4j.linalg.api.buffer.DataType.INT64 -> return DataType.DT_INT64
+        org.nd4j.linalg.api.buffer.DataType.UINT64 -> return DataType.DT_UINT64
+        org.nd4j.linalg.api.buffer.DataType.BOOL -> return DataType.DT_BOOL
+        org.nd4j.linalg.api.buffer.DataType.INT8 -> return DataType.DT_INT8
+        org.nd4j.linalg.api.buffer.DataType.INT16 -> return DataType.DT_INT16
+        org.nd4j.linalg.api.buffer.DataType.BFLOAT16 -> return DataType.DT_BFLOAT16
+        org.nd4j.linalg.api.buffer.DataType.UTF8 -> return DataType.DT_STRING
+        else -> {
+            return DataType.UNRECOGNIZED
+        }
+    }
+}
+
+fun conditionalFieldValueIntIndexNDArrayRule(outputAttribute: String,
+                                             inputFrameworkStringNameToTest: String,
+                                             targetValue: String,
+                                             trueIndex: Int,
+                                             falseIndex: Int,
+                                             attributeNameOfListAttribute: String,
+                                             argumentIndex: Int): TensorflowConditionalFieldValueIntIndexNDArrayRule {
+    return TensorflowConditionalFieldValueIntIndexNDArrayRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkStringNameToTest),
+        transformerArgs = mapOf(outputAttribute to listOf(
+            ArgDescriptor {
+                name = "targetValue"
+                stringValue = targetValue
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "trueIndex"
+                int64Value = trueIndex.toLong()
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "falseIndex"
+                int64Value = falseIndex.toLong()
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "attributeNameOfListAttribute"
+                stringValue = attributeNameOfListAttribute
+                argIndex = argumentIndex
+            }))
+    )
+}
+
+
+fun conditionalFieldValueIntIndexArrayRule(outputAttribute: String,
+                                           inputFrameworkStringNameToTest: String,
+                                           targetValue: String,
+                                           trueIndex: Int,
+                                           falseIndex: Int,
+                                           attributeNameOfListAttribute: String,
+                                           argumentIndex: Int): TensorflowConditionalFieldValueIntIndexArrayRule {
+    return TensorflowConditionalFieldValueIntIndexArrayRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkStringNameToTest),
+        transformerArgs = mapOf(outputAttribute to listOf(
+            ArgDescriptor {
+                name = "targetValue"
+                stringValue = targetValue
+                argIndex = argIndex
+            },
+            ArgDescriptor {
+                name = "trueIndex"
+                int64Value = trueIndex.toLong()
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "falseIndex"
+                int64Value = falseIndex.toLong()
+                argIndex = argumentIndex
+            },
+            ArgDescriptor {
+                name = "attributeNameOfListAttribute"
+                stringValue = attributeNameOfListAttribute
+                argIndex = argumentIndex
+            }))
+    )
+}
+
+fun sizeAtRule(dimensionIndex: Int,
+               outputAttributeName: String,
+               inputFrameworkAttributeName: String,
+               argumentIndex: Int): TensorflowNDArraySizeAt {
+    return TensorflowNDArraySizeAt(
+        mappingNamesToPerform = mapOf(outputAttributeName to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttributeName to listOf(OpNamespace.ArgDescriptor.newBuilder().apply {
+            name = inputFrameworkAttributeName
+            int64Value = dimensionIndex.toLong()
+            argIndex = argumentIndex
+        }.build()))
+    )
+}
+
+fun ndarrayExtractScalarValue(outputAttribute: String,
+                              inputFrameworkAttributeName: String,
+                              argumentIndex: Int,
+                              scalarIndex: Int): TensorflowNDArrayExtractScalarValue {
+    return TensorflowNDArrayExtractScalarValue(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(
+            ArgDescriptor {
+                name = outputAttribute
+                int64Value = scalarIndex.toLong()
+                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                argIndex = argumentIndex
+            })))
+}
+
+
+fun stringEqualsRule(outputAttribute: String,
+                     inputFrameworkAttributeName: String,
+                     valueToTest: String,
+                     argumentIndex: Int): TensorflowStringEqualsAdapterRule {
+    return TensorflowStringEqualsAdapterRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(
+            ArgDescriptor {
+                name = inputFrameworkAttributeName
+                stringValue = valueToTest
+                argType = OpNamespace.ArgDescriptor.ArgType.STRING
+                argIndex = argumentIndex
+            })))
+}
+
+
+fun stringNotEqualsRule(outputAttribute: String, inputFrameworkAttributeName: String, valueToTest: String,argumentIndex: Int): TensorflowStringNotEqualsAdapterRule {
+    return TensorflowStringNotEqualsAdapterRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(OpNamespace.ArgDescriptor.newBuilder().apply {
+            name = inputFrameworkAttributeName
+            stringValue = valueToTest
+            argIndex = argumentIndex
+        }.build())))
+}
+
+
+fun stringContainsRule(outputAttribute: String, inputFrameworkAttributeName: String, valueToTest: String): TensorflowStringContainsAdapterRule {
+    return TensorflowStringContainsAdapterRule(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName),
+        transformerArgs = mapOf(outputAttribute to listOf(OpNamespace.ArgDescriptor.newBuilder().apply {
+            name = inputFrameworkAttributeName
+            stringValue = valueToTest
+        }.build())))
+}
+
+
+fun attributeScalarToNDArrayInput(outputAttribute: String, inputFrameworkAttributeName: String): TensorflowAttributeScalarNDArrayAttribute {
+    return TensorflowAttributeScalarNDArrayAttribute(
+        mappingNamesToPerform = mapOf(outputAttribute to inputFrameworkAttributeName))
+}
+
+
+fun valueMapping(mappings: Map): TensorflowValueMappingRule {
+    return TensorflowValueMappingRule(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+fun invertBooleanNumber(mappings: Map): TensorflowInvertBooleanNumber {
+    return TensorflowInvertBooleanNumber(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+
+fun ndarrayToIntList(ndarrayNameToAttributeName: MutableMap): TensorflowNDArrayToIntAttributeValue {
+    return TensorflowNDArrayToIntAttributeValue(mappingNamesToPerform = ndarrayNameToAttributeName)
+}
+
+fun ndarrayStringToIndex(outputAttributeValue: String,inputAttributeValue: String, listOfValues: List,argumentIndex: Int): TensorflowNdArrayToStringIndex {
+    return TensorflowNdArrayToStringIndex(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = mapOf(outputAttributeValue to listOfValues.map {
+            valueName -> ArgDescriptor {
+        name = valueName
+        stringValue = valueName
+        argIndex = argumentIndex
+    }
+    }))
+}
+
+
+fun mapStringToInt(outputAttributeValue: String, inputAttributeValue: String, mapOfValuesToInts: Map,argumentIndex: Int,lookupIndex:Int): TensorflowMapStringToInt {
+    return TensorflowMapStringToInt(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs =
+    mapOf(outputAttributeValue to mapOfValuesToInts.map {
+            entry -> ArgDescriptor {
+        name = entry.key
+        int64Value = entry.value.toLong()
+        argIndex = argumentIndex
+    }
+    },"index" to listOf(ArgDescriptor {
+        name = "index"
+        int64Value = lookupIndex.toLong()
+    })))
+}
+
+
+fun listNumberToListNumber(outputAttributeValue: String, inputAttributeValue: String): TensorflowListNumberToListNumber {
+    return TensorflowListNumberToListNumber(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+fun convertStringToInputNDArray(mappings: Map): TensorflowStringAttributeToNDArray {
+    return TensorflowStringAttributeToNDArray(mappingNamesToPerform = mappings,transformerArgs = emptyMap())
+}
+
+
+fun convertNumberListToInputNDArray(outputAttributeValue: String, inputAttributeValue: String): TensorflowAttributeNumberListNDArray {
+    return TensorflowAttributeNumberListNDArray(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),transformerArgs = emptyMap())
+}
+
+
+fun listAttributeValueLookupToIndex(outputAttributeValue: String, inputAttributeValue: String, idx: Int,argumentIndex: Int,defaultValueIfNotFound: OpNamespace.ArgDescriptor? = null): TensorflowListAttributeValueLookupToIndex {
+   if(defaultValueIfNotFound != null)
+    return TensorflowListAttributeValueLookupToIndex(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),
+        transformerArgs = mapOf(outputAttributeValue to listOf(ArgDescriptor {
+            argType = OpNamespace.ArgDescriptor.ArgType.INT64
+            int64Value = idx.toLong()
+            name = "index"
+            argIndex = argumentIndex
+        },defaultValueIfNotFound!!)))
+    else
+       return TensorflowListAttributeValueLookupToIndex(mappingNamesToPerform = mapOf(outputAttributeValue to inputAttributeValue),
+           transformerArgs = mapOf(outputAttributeValue to listOf(ArgDescriptor {
+               argType = OpNamespace.ArgDescriptor.ArgType.INT64
+               int64Value = idx.toLong()
+               name = "index"
+               argIndex = argumentIndex
+           })))
+}
+
+
+fun dataTypeToInt(mutableMap: MutableMap): TensorflowDataTypeToInt {
+    return TensorflowDataTypeToInt(mappingNamesToPerform = mutableMap,transformerArgs = emptyMap())
+}
+
+
+fun convertNDArrayInputToNumericalAttr(mutableMap: MutableMap): TensorflowNDArrayInputToNumericalAttribute {
+    return TensorflowNDArrayInputToNumericalAttribute(mappingNamesToPerform = mutableMap,transformerArgs = emptyMap())
+}
+
+fun listNumberToNDarray(mutableMap: MutableMap): TensorflowListNumberToNDArray {
+    return TensorflowListNumberToNDArray(mappingNamesToPerform = mutableMap,transformerArgs = emptyMap())
+}
+
+
+fun ndArrayAttributeToNDarrayInput(mutableMap: MutableMap): TensorflowNDArrayAttributeToNDArrayInput {
+    return TensorflowNDArrayAttributeToNDArrayInput(mappingNamesToPerform = mutableMap,transformerArgs = emptyMap())
+}
+
+
+fun argDescriptorConstant(argDescriptorConstants: List): TensorflowArgDescriptorConstant {
+    return TensorflowArgDescriptorConstant(mappingNamesToPerform = emptyMap(),transformerArgs = mapOf("value" to argDescriptorConstants))
+}
+
+
+fun ndarrayAttributeToScalarAttribute(argDescriptorConstants: List): TensorflowAttributeNDArrayToScalarAttribute {
+    return TensorflowAttributeNDArrayToScalarAttribute(mappingNamesToPerform = emptyMap(),transformerArgs = mapOf("value" to argDescriptorConstants))
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/context/TensorflowMappingContext.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/context/TensorflowMappingContext.kt
new file mode 100644
index 000000000..df7ce62d1
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/context/TensorflowMappingContext.kt
@@ -0,0 +1,145 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.context
+
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.context.AbstractMappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.tensorflow.*
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.*
+import org.tensorflow.framework.*
+import kotlin.math.min
+
+class TensorflowMappingContext(opDef: OpDef, node: NodeDef, graph: IRGraph, dynamicVariables: MutableMap) :
+    AbstractMappingContext(opDef, node, graph,dynamicVariables) {
+
+    override fun attrDef(name: String): OpDef.AttrDef {
+        if(opDef().attrCount < 1) {
+            throw IllegalArgumentException("No attributes found for op def with name ${opDef.name}")
+        }
+
+        val ret =  opDef().attrList.firstOrNull { it.name == name } ?: error("No attribute found with name $name")
+        return ret!!
+    }
+
+    override fun irAttributeValueForNode(valueName: String): IRAttribute {
+        val attrDef = attrDef(valueName)
+        val attrValue = node.getAttrOrDefault(valueName, attrDef.defaultValue)
+        return TensorflowIRAttr(inputAttributeDef = attrDef, inputAttributeValue = attrValue)
+
+    }
+
+    override fun tensorInputFor(name: String): IRTensor {
+        var foundIndex = -1
+        /**
+         * Use op definition name as 1 unified reference name in rules for static purposes, but
+         * look up via index for specific node mappings.
+         *
+         * This is equivalent to the tf input position attribute value in the previous tensorflow import.
+         */
+        var baseIndexOffset: Int = 0
+        opDef.inputArgList.forEachIndexed { index, argDef ->
+            if(argDef.numberAttr.isNotEmpty()) {
+                var totalNum = node.getAttrOrDefault(argDef.numberAttr, AttrValue {
+                    i = 0
+                })
+
+                baseIndexOffset += totalNum.i.toInt()
+            }
+
+            if(argDef.name == name)
+                foundIndex = min(index + baseIndexOffset, node.inputCount - 1)
+        }
+
+
+        if(foundIndex < 0) {
+            throw IllegalArgumentException("Node with name ${nodeName()} for opdef with name ${opDef.name} did not contain a tensor with name ${name}")
+        }
+
+        var graphNode = node.getInput(foundIndex)
+        if(graphNode.endsWith("/read"))
+            graphNode = graphNode.replace("/read","")
+        return tensorInputFromInputFrameworkName(graphNode)
+    }
+
+    override fun opName(): String {
+        return node.op
+    }
+
+    override fun nodeName(): String {
+        return node.name
+    }
+
+    override fun nd4jDataTypeFor(input: IRTensor): org.nd4j.linalg.api.buffer.DataType {
+        return input.dataType().nd4jDataType()
+    }
+
+    override fun createIRTensorFromNDArray(ndarray: INDArray): IRTensor {
+        val tensorProto = TensorProto {
+            RawData(ndarray.data().asBytes())
+            Shape(ndarray.shape().toList())
+            DataType(convertToDataType(ndarray.dataType()))
+        }
+
+        return TensorflowIRTensor(tensorProto)
+    }
+
+    override fun tensorAttributeFor(name: String): IRTensor {
+        return TensorflowIRTensor(node.getAttrOrThrow(name).tensor)
+    }
+
+    override fun irNode(): IRNode {
+        return TensorflowIRNode(node,  OpDescriptorLoaderHolder.listForFramework("tensorflow").values.first { input ->
+            input.name == node.op
+        },graph.opMappingRegistry())
+    }
+
+    override fun tensorInputFromInputFrameworkName(name: String): IRTensor {
+        val searchedNode = graph.nodeByName(stripVarSuffix(name))
+        //no value to be found on placeholder, return default instance
+        //if no value exists it's an output from another node
+        if("Placeholder" in searchedNode.op || !searchedNode.containsAttr("value")) {
+            println("Value for node $name is not a constant! This method only works for constants. Consider replacing the Placeholder node with a Constant node. This will return an empty tensor.")
+            if(!dynamicVariables.containsKey(name))
+                return TensorflowIRTensor(TensorProto.getDefaultInstance())
+            else {
+                val toConvert = dynamicVariables[name]!!
+                return TensorflowIRTensor(toConvert)
+            }
+        }
+
+        //value nodes are the values of attributes that are input nodes in a frozen graph
+        return TensorflowIRTensor(searchedNode.getAttrOrThrow("value").tensor)
+    }
+
+    override fun nodeInputNameForOpDefInputName(name: String): String {
+        val inputNameIdx  = opDef.inputArgList.map { input -> input.name  }.indexOf(name)
+        if(inputNameIdx < 0) {
+            throw java.lang.IllegalArgumentException("No name ${name} found on op def with name ${opDef.name}")
+        }
+        return node.getInput(inputNameIdx)
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/definitions/TensorflowOpDeclarations.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/definitions/TensorflowOpDeclarations.kt
new file mode 100644
index 000000000..7e1da4029
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/definitions/TensorflowOpDeclarations.kt
@@ -0,0 +1,2391 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.definitions
+
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ArgDescriptor
+import org.nd4j.samediff.frameworkimport.nameSpaceTensorFromNDarray
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.registry.OpRegistryHolder
+import org.nd4j.samediff.frameworkimport.tensorflow.*
+import org.nd4j.samediff.frameworkimport.tensorflow.process.TensorflowMappingProcess
+import org.tensorflow.framework.*
+
+val tensorflowOpRegistry = OpMappingRegistry(
+        "tensorflow",OpDescriptorLoaderHolder.nd4jOpDescriptor)
+
+fun registry(): OpMappingRegistry {
+        return tensorflowOpRegistry
+}
+
+val singleTransformArgs = mapOf(
+        "Abs" to "abs",
+        "Acos" to "acos",
+        "Acosh" to "acosh",
+        "Asin" to "asin",
+        "Asinh" to "asinh",
+        "Atan" to "atan",
+        "Atanh" to "atanh",
+        "Ceil" to "ceil",
+        "Cos" to "cos",
+        "Cosh" to "cosh",
+        "Erf" to "erf",
+        "Erfc" to "erfc",
+        "Exp" to "exp",
+        "Expm1" to "expm1",
+        "Floor" to "floor",
+        "Log" to "log",
+        "Log1p" to "log1p",
+        "Neg" to "neg",
+        "Rint" to "rint",
+        "Round" to "round",
+        "Rsqrt" to "rsqrt",
+        "Sigmoid" to "sigmoid",
+        "Sign" to "sign",
+        "Sin" to "sin",
+        "Sinh" to "sinh",
+        "Square" to "square",
+        "Sqrt" to "sqrt",
+        "Tan" to "tan",
+        "Tanh" to "tanh"
+)
+
+val elementWiseTransformOps = mapOf(
+        "Add" to "add",
+        "AddV2" to "add",
+        "Div" to "divide",
+        "Greater" to "greater",
+        "GreaterEqual" to "greater_equal",
+        "Less" to "less",
+        "LessEqual" to "less_equal",
+        "Mul" to "multiply",
+        "Sub" to "subtract",
+        "Maximum" to "maximum",
+        "FloorDiv" to "floordiv",
+        "Mod" to "mod",
+        "FloorMod" to "floormod",
+        "SquaredDifference" to "squaredsubtract",
+        "NotEqual" to "not_equals",
+        "RealDiv" to "realdiv",
+        "RightShift" to "rshift_bits",
+        "Atan2" to "tf_atan2",
+        "TruncateDiv" to "truncatediv"
+)
+
+
+val reduceOps = mapOf(
+        "All" to "all",
+        "Any" to "any",
+        "Mean" to "reduce_mean",
+        "Prod" to "reduce_prod",
+        "Sum" to "reduce_sum",
+        "Min" to "reduce_min",
+        "Max" to "reduce_max",
+
+        )
+
+
+val pairwiseReduceOps = mapOf(
+        "EuclideanNorm" to "euclidean"
+)
+
+
+val addN = TensorflowMappingProcess(
+        inputFrameworkOpName = "AddN",
+        opName = "mergesum",
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("input" to "inputs"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+val assert = mapTensorNamesWithOp(inputFrameworkOpName = "Assert",opName = "Assert",
+        tensorNames = mutableMapOf("input" to "condition"),
+        tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+/**
+ *
+ * Note that angle only supports complex inputs and outputs.
+ * We don't support complex in nd4j so we just output zeros.
+ */
+/*val angleRule = TensorflowMappingProcess(
+        inputFrameworkOpName = "Angle",
+        opName = "zeros_like",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        opMappingRegistry = tensorflowOpRegistry
+)*/
+
+/*
+val approxEqualRule = TensorflowMappingProcess(
+        inputFrameworkOpName = "Equal",
+        opName = "equals_with_eps",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        attributeMappingRules = listOf(valueMapping(mapOf("eps" to "tolerance")),
+                //TODO: note dimensions isn't on the TF op, need to investigate if there is a better default here
+                intConstant(inputName = "dimensions",constantValue = 0 ,argumentIndex = 0)[0],
+                booleanConstant(inputName = "keepDims",constantValue = false,argumentIndex = 0)[0]))
+*/
+
+
+val argMaxRule = TensorflowMappingProcess(
+        inputFrameworkOpName = "ArgMax",
+        opName = "argmax",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","dimensions" to "dimension"))),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "keepDims",constantValue = false,argumentIndex = 0)[0])
+
+)
+
+val argMinRule = TensorflowMappingProcess(
+        inputFrameworkOpName = "ArgMin",
+        opName = "argmin",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","dimensions" to "dimension"))),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "keepDims",constantValue = false,argumentIndex = 0)[0])
+
+)
+/*
+val reduceLogSumExp = TensorflowMappingProcess(
+        inputFrameworkOpName = "CumulativeLogsumexp",
+        opName = "reduce_logsumexp",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x"))),
+        attributeMappingRules = listOf(
+                ndarrayToIntList(mutableMapOf("dimensions" to "axis")),
+                booleanConstant(inputName = "keepDims",constantValue = true,argumentIndex = 0)[0])
+
+)*/
+
+/**
+ * Note: Assign uses variables, not tensors. We will not test this.
+ */
+val assignOp = TensorflowMappingProcess(
+        inputFrameworkOpName = "Assign",
+        opName = "assign",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "ref","y" to "value")))
+)
+
+val adjustHue = TensorflowMappingProcess(
+        inputFrameworkOpName = "AdjustHue",
+        opName = "adjust_hue",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "images","delta" to "delta"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName= "dimC",constantValue = -1 ,argumentIndex = 0)[0])
+)
+
+val adjustSaturation = TensorflowMappingProcess(
+        inputFrameworkOpName = "AdjustSaturation",
+        opName = "adjust_saturation",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "images","factor" to "scale"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName= "dimC",constantValue = -1 ,argumentIndex = 0)[0])
+)
+
+val adjustContrast = TensorflowMappingProcess(
+        inputFrameworkOpName = "AdjustContrastv2",
+        opName = "adjust_contrast_v2",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "images","factor" to "contrast_factor"))),
+        attributeMappingRules = listOf()
+)
+
+val stopGradient = TensorflowMappingProcess(
+        inputFrameworkOpName = "StopGradient",
+        opName = "stop_gradient",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace",argumentIndex = 0,constantValue = false)[0])
+)
+
+val polygamma = TensorflowMappingProcess(
+        inputFrameworkOpName = "Polygamma",
+        opName = "polygamma",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("n" to "a","input" to "x"))),
+        attributeMappingRules = listOf()
+)
+
+
+val avgPool = TensorflowMappingProcess(
+        inputFrameworkOpName = "AvgPool",
+        opName = "avgpool2d",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "value"))),
+        attributeMappingRules = listOf(
+                stringNotEqualsRule(outputAttribute = "isNCHW",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 10),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 8),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sH", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 2),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sW", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 3),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "kH", attributeNameOfListAttribute = "ksize", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 0),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "kW", attributeNameOfListAttribute = "ksize", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 1),
+                argDescriptorConstant(listOf(
+                        ArgDescriptor {
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                name = "pH"
+                                int64Value = 0
+                                argIndex = 4
+                        },
+                        ArgDescriptor {
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                name = "pW"
+                                int64Value = 0
+                                argIndex = 5
+                        },
+                        ArgDescriptor {
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                name = "dW"
+                                int64Value = 1
+                                argIndex = 6
+                        },
+                        ArgDescriptor {
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                name = "dH"
+                                int64Value = 1
+                                argIndex = 7
+                        },
+                        ArgDescriptor {
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                name = "extraParam0"
+                                int64Value = 0
+                                argIndex = 9
+                        }
+                ))
+        )
+)
+
+val avgPool3d = TensorflowMappingProcess(
+        inputFrameworkOpName = "AvgPool3D",
+        opName = "avgpool3dnew",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "extraParam0",constantValue = 0 ,argumentIndex = 13)[0],
+                intConstant(inputName = "pD",constantValue = 0 ,argumentIndex = 6)[0],
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 7)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 8)[0],
+                intConstant(inputName = "dD",constantValue = 1 ,argumentIndex = 9)[0],
+                intConstant(inputName = "dH",constantValue = 1 ,argumentIndex = 10)[0],
+                intConstant(inputName = "dW",constantValue = 1 ,argumentIndex = 11)[0],
+                stringEqualsRule(outputAttribute = "isNCDHW",inputFrameworkAttributeName = "data_format",valueToTest = "NDHWC",argumentIndex = 14),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 12),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kH",inputAttributeValue = "ksize",idx = 3,argumentIndex = 2),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kW",inputAttributeValue = "ksize",idx = 2,argumentIndex = 1),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kD",inputAttributeValue = "ksize",idx = 1,argumentIndex = 0),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sH",inputAttributeValue = "strides",idx = 3,argumentIndex = 5),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sW",inputAttributeValue = "strides",idx = 2,argumentIndex = 4),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sD",inputAttributeValue = "strides",idx = 1,argumentIndex = 3),
+        )
+)
+
+val batchToSpace = TensorflowMappingProcess(
+        opName = "batch_to_space",
+        inputFrameworkOpName = "BatchToSpace",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(valueMapping(mapOf("blockSize" to "block_size"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","crop" to "crops")))
+)
+
+val batchToSpaceND = TensorflowMappingProcess(
+        opName = "batch_to_space_nd",
+        inputFrameworkOpName = "BatchToSpaceND",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("blocks" to "block_shape")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","crop" to "crops","blockShape" to "block_shape")))
+)
+
+val betaInc = TensorflowMappingProcess(
+        opName = "betainc",
+        inputFrameworkOpName = "Betainc",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("a" to "a","b" to "b","input" to "x"))),
+        attributeMappingRules = emptyList()
+)
+
+val biasAddResult = defineBiasAdd(tensorflowOpRegistry = tensorflowOpRegistry)
+
+val binCount = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "bincount",
+        inputFrameworkOpName = "Bincount",
+        tensorMappingRules =  listOf(mappingNDArrayInputs(mutableMapOf("weights" to "weights","values" to "arr","min" to "size"))),
+        attributeMappingRules = listOf(
+                valueMapping(mutableMapOf("outputType" to "T"))))
+
+
+val bitCast = TensorflowMappingProcess(
+        opName = "bitcast",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "Bitcast",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(dataTypeToInt(mutableMapOf("newType" to "type")), valueMapping(mutableMapOf("dtype" to "type")))
+)
+
+val bitwiseAnd = TensorflowMappingProcess(
+        opName = "bitwise_and",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "BitwiseAnd",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+)
+
+val bitwiseOr = TensorflowMappingProcess(
+        opName = "bitwise_or",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "BitwiseOr",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+)
+
+
+
+val bitwiseXOr = TensorflowMappingProcess(
+        opName = "bitwise_xor",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "BitwiseXor",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+)
+
+val broadcastDynamicShape = TensorflowMappingProcess(
+        opName = "broadcast_dynamic_shape",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "BroadcastArgs",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "s0","y" to "s1")))
+)
+
+//TODO: not implemented yet
+
+/*val broadcastCatGradientArgs = TensorflowMappingProcess(
+        opName = "broadcastgradientargs",
+        inputFrameworkOpName = "BroadcastGradientArgs",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                intConstant(inputName = "dimension",constantValue = 0 ,argumentIndex = 0)[0]),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "s0","y" to "s1")))
+)*/
+
+val broadcastTo = TensorflowMappingProcess(
+        opName = "broadcast_to",
+        inputFrameworkOpName = "BroadcastTo",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","shape" to "shape")))
+)
+
+
+val copy2 = multipleNameMapping(
+        inputFrameworkOpNames = listOf("Copy"),
+        opName = "copy",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorNames = mutableMapOf("input" to "input")
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val checkNumerics = TensorflowMappingProcess(
+        opName = "check_numerics",
+        inputFrameworkOpName = "CheckNumerics",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(convertStringToInputNDArray(mutableMapOf("message" to "message"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "tensor")))
+)
+
+//only exists in tf2, tf-java can't run it
+
+val checkNumericsV2 = TensorflowMappingProcess(
+        opName = "check_numerics",
+        inputFrameworkOpName = "CheckNumericsV2",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(convertStringToInputNDArray(mutableMapOf("message" to "message"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "tensor")))
+)
+
+
+val variable = mapTensorNamesWithOp(inputFrameworkOpName = "Variable",
+        opName = "identity",
+        tensorNames = mutableMapOf(),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "dtype")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val variableV2 = mapTensorNamesWithOp(inputFrameworkOpName = "VariableV2",
+        opName = "identity",
+        tensorNames = mutableMapOf(),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "dtype")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+
+val identity2 = mapTensorNamesWithOp(inputFrameworkOpName = "Identity",
+        opName = "identity",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "T")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val const = mapTensorNamesWithOp(inputFrameworkOpName = "Const",
+        opName = "identity",
+        tensorNames = mutableMapOf(),
+        attributeMappingRules = listOf(ndArrayAttributeToNDarrayInput(mutableMapOf("input" to "value")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0]
+                ,valueMapping(mutableMapOf("dataType" to "dtype")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val cholesky = TensorflowMappingProcess(
+        opName = "cholesky",
+        inputFrameworkOpName = "Cholesky",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = mapSameName(listOf("input"))
+)
+
+
+val clipByValue = TensorflowMappingProcess(
+        opName = "ClipByValue",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "ClipByValue",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "t"))),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf("clipValueMin" to "clip_value_min","clipValueMax" to "clip_value_max")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0])
+)
+
+
+//TODO: our compare and bit pack operation seems to do something different than TFs?
+val compareAndBitPack = TensorflowMappingProcess(
+        opName = "compare_and_bitpack",
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "CompareAndBitpack",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","y" to "threshold")))
+)
+
+
+val concat = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "concat",
+        inputFrameworkOpName = "Concat",
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("input" to "values","concatDimension" to "concat_dim"))),
+        attributeMappingRules = listOf(convertNDArrayInputToNumericalAttr(mutableMapOf("concatDimension" to "concat_dim")),
+                booleanConstant(inputName = "isDynamicAxis",constantValue = true,argumentIndex = 0)[0],valueMapping(mutableMapOf("dtype" to "T")))
+)
+
+val parallelConcat = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "concat",
+        inputFrameworkOpName = "ParallelConcat",
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("input" to "values"))),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "isDynamicAxis",constantValue = false,argumentIndex = 0)[0]
+                ,valueMapping(mutableMapOf("dtype" to "T")),
+                intConstant(inputName = "concatDimension",constantValue = 0,argumentIndex = 0)[0])
+)
+
+val tensorArrayV3 = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "tensorarrayv3",
+        inputFrameworkOpName = "TensorArrayV3",
+        tensorMappingRules = listOf(),
+        attributeMappingRules = listOf(dataTypeToInt(mutableMapOf("dataType" to "dtype")))
+)
+
+
+val mergeadd = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "mergeadd",
+        inputFrameworkOpName = "AccumulateNV2",
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("inArrs" to "inputs"))),
+        attributeMappingRules = listOf( booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0]))
+
+/**
+ * Note that dynamic axis being true here is important.
+ * The concat op in tensorflow may find constant nodes
+ * that have an axis specified. When that's the case,
+ * if dynamic axis is false, it will cause a serialization issue
+ * where an input in to a concat op that may appear in the serialization
+ * may not appear when reloaded. This breaks a ton of tests.
+ * This is related to any getInputsForOp() call on any given variable.
+ *
+ */
+val mergeAdd = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "concat",
+        inputFrameworkOpName = "ConcatV2",
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        attributeMappingRules = listOf(convertNDArrayInputToNumericalAttr(mutableMapOf("concatDimension" to "axis")),
+                booleanConstant(inputName = "isDynamicAxis",constantValue = true,argumentIndex = 0)[0]))
+
+
+/*val parallelConcat = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "concat",
+        inputFrameworkOpName = "ParallelConcat",
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("input" to "values"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "concatDimension",constantValue = 0 ,argumentIndex = 0)[0],
+                booleanConstant(inputName = "isDynamicAxis",constantValue = true,argumentIndex = 0)[0])
+)*/
+
+//TODO Reference ImportClassMapping.java
+//TODO: ParallelDynamicStitch, map to dynamic stitch
+//TODO: PollyGamma, map to pairwise transforms
+//TODO: map QR
+
+val cropAndResize = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "crop_and_resize",
+        inputFrameworkOpName = "CropAndResize",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "image" to "image",
+                "boxes" to "boxes",
+                "boxIndexes" to "box_ind",
+                "newImageSize" to "crop_size"))),
+        attributeMappingRules = listOf(
+                ndarrayStringToIndex(outputAttributeValue = "method",inputAttributeValue = "method",listOfValues = listOf("bilinear","nearest"),argumentIndex = 0),
+                valueMapping(mapOf("extrapolationVal" to "extrapolation_value")))
+)
+
+val cumProd = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "cumprod",
+        inputFrameworkOpName = "Cumprod",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","dimensions" to "axis"))),
+        attributeMappingRules = listOf(invertBooleanNumber(mutableMapOf("exclusive" to "exclusive","reverse" to "reverse"))))
+
+
+
+
+val cumSum = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "cumsum",
+        inputFrameworkOpName = "Cumsum",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","dimensions" to "axis"))),
+        attributeMappingRules = listOf(
+                invertBooleanNumber(mutableMapOf("exclusive" to "exclusive",
+                        "reverse" to "reverse"))))
+
+
+
+
+val cross = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        opName = "cross",
+        inputFrameworkOpName = "Cross",
+        tensorMappingRules = mapSameName(listOf("a","b"))
+)
+
+val depthToSpace = TensorflowMappingProcess(
+        opName = "depth_to_space",
+        inputFrameworkOpName = "DepthToSpace",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMapping(mapOf("block_size" to "block_size")),
+                stringEqualsRule("isNHWC"
+                        ,inputFrameworkAttributeName = "data_format",valueToTest = "NHWC",argumentIndex = 1)),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+/**
+ * depth_conv
+ */
+val depthWiseConv2d = TensorflowMappingProcess(
+        opName = "depthwise_conv2d",
+        inputFrameworkOpName = "DepthwiseConv2dNative",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "input","weights" to "filter"))),
+        attributeMappingRules = listOf(
+                stringNotEqualsRule(outputAttribute = "isNCHW",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 9),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 8),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sH", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 2),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sW", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 3),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "dH", attributeNameOfListAttribute = "dilations", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 6),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "dW", attributeNameOfListAttribute = "dilations", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 7),
+                //NOTE: This is a dynamically resolved attribute at runtime.
+                sizeAtRule(outputAttributeName = "kH",dimensionIndex = 0,inputFrameworkAttributeName = "filter",argumentIndex = 0),
+                sizeAtRule(outputAttributeName = "kW",dimensionIndex = 1,inputFrameworkAttributeName = "filter",argumentIndex = 1),
+                argDescriptorConstant(listOf(
+                        ArgDescriptor {
+                                name = "pH"
+                                int64Value = 0
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                argIndex = 4
+                        },
+                        ArgDescriptor {
+                                name = "pW"
+                                int64Value = 0
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                argIndex = 5
+                        },
+                        ArgDescriptor {
+                                name = "wFormat"
+                                int64Value = 0
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                argIndex = 10
+                        }
+                )))
+)
+
+
+val diag = TensorflowMappingProcess(
+        inputFrameworkOpName = "Diag",
+        opName = "diag",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "diagonal"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+val diagPart = TensorflowMappingProcess(
+        inputFrameworkOpName = "DiagPart",
+        opName = "diag_part",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val lGamma = TensorflowMappingProcess(
+        inputFrameworkOpName = "Lgamma",
+        opName = "lgamma",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+val diGamma = TensorflowMappingProcess(
+        inputFrameworkOpName = "Digamma",
+        opName = "digamma",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val iGamma = TensorflowMappingProcess(
+        inputFrameworkOpName = "Igamma",
+        opName = "igamma",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "a","y" to "x"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+
+val iGammaC = TensorflowMappingProcess(
+        inputFrameworkOpName = "Igammac",
+        opName = "igammac",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "a","y" to "x"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val dilation2D = TensorflowMappingProcess(
+        opName = "dilation2d",
+        inputFrameworkOpName = "Dilation2D",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "input","weights" to "filter"))),
+        attributeMappingRules = listOf(
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 0),
+                listNumberToListNumber(outputAttributeValue = "rates",inputAttributeValue = "rates"),
+                listNumberToListNumber(outputAttributeValue = "strides",
+                        inputAttributeValue = "strides"))
+)
+
+val drawBoundingBoxes = TensorflowMappingProcess(
+        inputFrameworkOpName = "DrawBoundingBoxesV2",
+        inputFramework = "tensorflow",
+        opName = "draw_bounding_boxes",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("images" to "images","boxes" to "boxes","colors" to "colors")))
+)
+
+
+/**
+ * Note: -1 means dynamically resolved.
+ */
+val conv2d =  TensorflowMappingProcess(
+        inputFrameworkOpName = "Conv2D",
+        opName = "conv2d",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "input","weights" to "filter"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 4)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 5)[0],
+                intConstant(inputName = "wFormat",constantValue = 0 ,argumentIndex = 10)[0],
+                stringNotEqualsRule(outputAttribute = "isNCHW",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 9),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 8),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sH", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 2),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sW", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 3),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "dH", attributeNameOfListAttribute = "dilations", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 6),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "dW", attributeNameOfListAttribute = "dilations", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 7),
+                //NOTE: This is a dynamically resolved attribute at runtime.
+                intConstant(inputName = "kH",constantValue = -1,argumentIndex = 0)[0],
+                intConstant(inputName = "kW",constantValue = -1,argumentIndex = 1)[0]
+        ),opMappingRegistry = tensorflowOpRegistry)
+
+/**
+ * Note: -1 means dynamically resolved.
+ */
+val deconv2d =  TensorflowMappingProcess(
+        inputFrameworkOpName = "Conv2DBackpropInput",
+        opName = "deconv2d_tf",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "gradIShape" to "input_sizes","weights" to "filter","gradO" to "out_backprop"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 4)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 5)[0],
+                intConstant(inputName = "wFormat",constantValue = 0 ,argumentIndex = 10)[0],
+                stringNotEqualsRule(outputAttribute = "isNCHW",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 9),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 8),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sH", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 2),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sW", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 3),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "dH", attributeNameOfListAttribute = "dilations", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 6),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "dW", attributeNameOfListAttribute = "dilations", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 7),
+                //NOTE: This is a dynamically resolved attribute at runtime.
+                intConstant(inputName = "kH",constantValue = -1,argumentIndex = 0)[0],
+                intConstant(inputName = "kW",constantValue = -1,argumentIndex = 1)[0],
+                valueMapping(mutableMapOf("dtype" to "T"))
+        ),opMappingRegistry = tensorflowOpRegistry)
+
+
+/**
+ * Note: -1 means dynamically resolved.
+ */
+val conv3d =  TensorflowMappingProcess(
+        inputFrameworkOpName = "Conv3D",
+        opName = "conv3dnew",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "input","weights" to "filter"))),
+        attributeMappingRules = listOf(
+                stringEqualsRule(outputAttribute = "isNCDHW",inputFrameworkAttributeName = "data_format",valueToTest = "NDHWC",argumentIndex = 13),
+                stringEqualsRule(outputAttribute = "paddingMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 12),
+                sizeAtRule(dimensionIndex = 0,"kD",inputFrameworkAttributeName = "filter",argumentIndex = 0),
+                sizeAtRule(dimensionIndex = 1,"kH",inputFrameworkAttributeName = "filter",argumentIndex = 1),
+                sizeAtRule(dimensionIndex = 2,"kW",inputFrameworkAttributeName = "filter",argumentIndex = 2),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sD",inputAttributeValue = "strides",idx = 1,argumentIndex = 3),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sH",inputAttributeValue = "strides",idx = 2,argumentIndex = 4),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sW",inputAttributeValue = "strides",idx = 3,argumentIndex = 5),
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 7)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 8)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 6)[0],
+                listAttributeValueLookupToIndex(outputAttributeValue = "dH",inputAttributeValue = "dilations",idx = 3,argumentIndex = 11),
+                listAttributeValueLookupToIndex(outputAttributeValue = "dW",inputAttributeValue = "dilations",idx = 2,argumentIndex = 10),
+                listAttributeValueLookupToIndex(outputAttributeValue = "dD",inputAttributeValue = "dilations",idx = 1,argumentIndex = 9),
+        ),opMappingRegistry = tensorflowOpRegistry)
+
+
+
+
+val divideNoNan = TensorflowMappingProcess(
+        opName = "divide_no_nan",
+        inputFrameworkOpName = "DivNoNan",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val dynamicPartition = TensorflowMappingProcess(
+        opName = "dynamic_partition",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data","indices" to "partitions"))),
+        inputFrameworkOpName = "DynamicPartition",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(valueMapping(mapOf("numPartitions" to "num_partitions")))
+)
+
+
+
+val dynamicStitch = TensorflowMappingProcess(
+        opName = "dynamic_stitch",
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("numPartitions" to "N"))),
+        inputFrameworkOpName = "DynamicStitch",
+        opMappingRegistry = tensorflowOpRegistry
+)
+//ParallelDynamicStitch
+val parallelDynamicStitch = TensorflowMappingProcess(
+        opName = "dynamic_stitch",
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("numPartitions" to "N"))),
+        inputFrameworkOpName = "ParallelDynamicStitch",
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val empty = TensorflowMappingProcess(
+        opName = "create",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "shape"))),
+        inputFrameworkOpName = "Empty",
+        attributeMappingRules = listOf(valueMapping(mapOf("init" to "init","outputType" to "dtype")),
+                dataTypeToInt(mutableMapOf("outputType" to "dtype")),
+                intConstant(inputName = "order",constantValue = 'c'.toInt() ,argumentIndex = 0)[0]),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val cast = TensorflowMappingProcess(
+        opName = "cast",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x"))),
+        inputFrameworkOpName = "Cast",
+        attributeMappingRules = listOf(
+                valueMapping(mutableMapOf("dtype" to "DstT")),
+                dataTypeToInt(mutableMapOf("dst" to "DstT"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+val elu = mapTensorNamesWithOp(inputFrameworkOpName = "Elu",opName = "elu",tensorNames = mutableMapOf("input" to "features"),
+        attributeMappingRules = listOf(argDescriptorConstant(
+                listOf(
+                        ArgDescriptor {
+                                name = "alpha"
+                                doubleValue = 1.0
+                                argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                                argIndex = 0
+                        }
+                )
+        ))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val enter = TensorflowMappingProcess(
+        opName = "enter",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        inputFrameworkOpName = "Enter",
+        attributeMappingRules = listOf(valueMapping(mapOf("isConstant" to "is_constant","frameName" to "frame_name"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val equal = TensorflowMappingProcess(
+        opName = "equals",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        inputFrameworkOpName = "Equal",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val approxEqual = TensorflowMappingProcess(
+        opName = "equals",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","y" to "y"))),
+        inputFrameworkOpName = "ApproximateEqual",
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0]),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val exit = TensorflowMappingProcess(
+        opName = "exit",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data"))),
+        inputFrameworkOpName = "Exit",
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val expandDims = TensorflowMappingProcess(
+        opName = "expand_dims",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        inputFrameworkOpName = "ExpandDims",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(ndarrayToIntList(ndarrayNameToAttributeName = mutableMapOf("dimensions" to "dim"))
+        ))
+
+val extractImagesPatches = TensorflowMappingProcess(
+        opName = "extract_image_patches",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "images"))),
+        inputFrameworkOpName = "ExtractImagePatches",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                listAttributeValueLookupToIndex(outputAttributeValue = "ksizeRows",inputAttributeValue = "ksizes",idx =  1,argumentIndex = 0),
+                listAttributeValueLookupToIndex(outputAttributeValue = "ksizeCols",inputAttributeValue = "ksizes",idx =  2,argumentIndex = 1),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kstrideRows",inputAttributeValue = "strides",idx =  1,argumentIndex = 2),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kstrideCols",inputAttributeValue = "strides",idx =  2,argumentIndex = 3),
+                listAttributeValueLookupToIndex(outputAttributeValue = "krateRows",inputAttributeValue = "rates",idx =  1,argumentIndex = 4),
+                listAttributeValueLookupToIndex(outputAttributeValue = "krateCols",inputAttributeValue = "rates",idx =  2,argumentIndex = 5),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 0),
+                valueMapping(mutableMapOf("dtype" to "T")))
+)
+
+
+
+val fusedBatchnormV1 = TensorflowMappingProcess(
+        opName = "fused_batch_norm",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","scale" to "scale",
+                "offset" to "offset","mean" to "mean","variance" to "variance"))),
+        inputFrameworkOpName = "FusedBatchNorm",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("epsilon" to "epsilon","dtype" to "T")),
+                invertBooleanNumber(mutableMapOf("isTraining" to "is_training")),
+                stringEqualsRule(outputAttribute = "dataFormat",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 0))
+)
+
+
+
+val fusedBatchnormV2 = TensorflowMappingProcess(
+        opName = "fused_batch_norm",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","scale" to "scale",
+                "offset" to "offset","mean" to "mean","variance" to "variance"))),
+        inputFrameworkOpName = "FusedBatchNormV2",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("epsilon" to "epsilon","dtype" to "T")),
+                invertBooleanNumber(mutableMapOf("isTraining" to "is_training")),
+                stringEqualsRule(outputAttribute = "dataFormat",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 0))
+)
+
+//tf2 op
+val fusedBatchnormV3 = TensorflowMappingProcess(
+        opName = "fused_batch_norm",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x","scale" to "scale",
+                "offset" to "offset","mean" to "mean","variance" to "variance"))),
+        inputFrameworkOpName = "FusedBatchNormV3",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("epsilon" to "epsilon","dtype" to "T")),
+                invertBooleanNumber(mutableMapOf("isTraining" to "is_training")),
+                stringEqualsRule(outputAttribute = "dataFormat",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 0))
+)
+
+
+
+val gather = TensorflowMappingProcess(
+        opName = "gather",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "params","indices" to "indices"))),
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf()),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                intConstant(inputName = "dimensions",constantValue = 0 ,argumentIndex = 0)[0]),
+        inputFrameworkOpName = "Gather",
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val gatherV2 = TensorflowMappingProcess(
+        opName = "gather",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "params","indices" to "indices"))),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                ndarrayToIntList(mutableMapOf("dimensions" to "axis"))),
+        inputFrameworkOpName = "GatherV2",
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val gatherNd = TensorflowMappingProcess(
+        opName = "gather_nd",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "params","indices" to "indices"))),
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf()),
+                booleanConstant(inputName = "checkIndices",constantValue = false,argumentIndex = 0)[0]),
+        inputFrameworkOpName = "GatherNd",
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val histogramFixedWidth = TensorflowMappingProcess(
+        opName = "histogram_fixed_width",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "values","range" to "value_range","numBins" to "nbins"))),
+        inputFrameworkOpName = "HistogramFixedWidth",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("nbins" to "nbins")))
+)
+
+val identity = multipleNameMapping(
+        opName = "identity",
+        inputFrameworkOpNames = listOf("DeepCopy"),
+        tensorNames =  mutableMapOf("input" to "x"),
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "T")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val identityCopyToHost = multipleNameMapping(
+        opName = "identity",
+        inputFrameworkOpNames = listOf("CopyHost"),
+        tensorNames =  mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "T"))),
+        tensorflowOpRegistry = tensorflowOpRegistry)
+
+val identityN = TensorflowMappingProcess(
+        opName = "identity_n",
+        inputFrameworkOpName = "IdentityN",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules =  listOf(passThroughNDArrayInputs())
+)
+
+val ifOp = TensorflowMappingProcess(
+        opName = "switch",
+        inputFrameworkOpName = "If",
+        attributeMappingRules = listOf(),
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","predicate" to "cond")))
+)
+
+val switchOp = TensorflowMappingProcess(
+        opName = "switch",
+        inputFrameworkOpName = "Switch",
+        attributeMappingRules = listOf(),
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "data","predicate" to "pred")))
+)
+
+val fill = TensorflowMappingProcess(
+        opName = "fill",
+        inputFrameworkOpName = "Fill",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(convertNDArrayInputToNumericalAttr(mutableMapOf("value" to "value")),
+                valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("shape" to "dims","outputs" to "value")))
+)
+
+
+val reciprocal = TensorflowMappingProcess(
+        opName = "Reciprocal",
+        inputFrameworkOpName = "Inv",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x")))
+)
+
+val reciprocal2 = TensorflowMappingProcess(
+        opName = "Reciprocal",
+        inputFrameworkOpName = "Reciprocal",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "x")))
+)
+
+
+val inTopKResults = multipleNameMapping(inputFrameworkOpNames = listOf("InTopK"),
+        opName = "in_top_k",
+        tensorNames = mutableMapOf("target" to "targets","predictions" to "predictions"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("k" to "k")),
+                booleanConstant(inputName = "sorted",constantValue = true,argumentIndex = 0)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val inTopKResults2 = multipleNameMapping(inputFrameworkOpNames = listOf("InTopKV2"),
+        opName = "in_top_k",
+        tensorNames = mutableMapOf("target" to "targets","predictions" to "predictions"),
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("k" to "k")),
+                booleanConstant(inputName = "sorted",constantValue = true,argumentIndex = 0)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val invert = mapTensorNamesWithOp(inputFrameworkOpName = "Invert",opName = "toggle_bits"
+        ,tensorNames = mutableMapOf("input" to "x")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+val invertPermutation = mapTensorNamesWithOp(inputFrameworkOpName = "InvertPermutation",
+        opName = "invert_permutation",tensorNames = mutableMapOf("input" to "x"),
+        attributeMappingRules = listOf(booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "T")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val isFinite = mapTensorNamesWithOp(inputFrameworkOpName = "IsFinite",opName = "isfinite"
+        ,tensorNames = mutableMapOf("input" to "x"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val isInf = mapTensorNamesWithOp(inputFrameworkOpName = "IsInf",opName = "isinf",
+        tensorNames = mutableMapOf("input" to "x"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val isNan = mapTensorNamesWithOp(inputFrameworkOpName = "IsNan",opName = "isnan",
+        tensorNames = mutableMapOf("input" to "x"),attributeMappingRules = booleanConstant(inputName = "inPlace"
+                ,constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//TODO: weird parameter values with config.getBias( and other similar names
+val lrn = mapTensorNamesWithOp(inputFrameworkOpName = "LRN",opName = "lrn",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("depth" to "depth_radius","alpha" to "alpha",
+                "bias" to "bias","beta" to "beta")),
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val leakyRelu = mapTensorNamesWithOp(inputFrameworkOpName = "LeakyRelu",opName = "leakyrelu",
+        attributeMappingRules = listOf(valueMapping(mappings = mutableMapOf("alpha" to "alpha"))),
+        tensorNames = mutableMapOf("input" to "features"),tensorflowOpRegistry = tensorflowOpRegistry)
+//TODO: no input values found
+val leftShift = mapTensorNamesWithOp(inputFrameworkOpName = "LeftShift",opName = "shift_bits",
+        tensorNames = mutableMapOf("input" to "x","y" to "y"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val linspace = mapTensorNamesWithOp(inputFrameworkOpName = "LinSpace",opName = "lin_space",
+        tensorNames = mutableMapOf("start" to "start","finish" to "stop","numOfElements" to "num"),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf(
+                        "start" to "start",
+                        "stop" to "stop")),
+                valueMapping(mutableMapOf("dataType" to "T"))
+        ),tensorflowOpRegistry = tensorflowOpRegistry)
+
+//0=tanh, 1=relu, 2=sigmoid, 3=affine, 4=leaky relu, 5= thresholded relu, 6=scaled tanh, 7=hard sigmoid, 8=ELU, 9=softsign, 10=softplus
+
+val lstmActivationMap = mapOf(
+        "Relu" to 1,
+        "Tanh" to 0,
+        "Sigmoid" to 2,
+        "Affine" to 3,
+        "LeakyRelu" to 4,
+        "ThresholdedRelu" to 5,
+        "ScaledTanh" to 6,
+        "HardSigmoid" to 7,
+        "Elu" to 8,
+        "Softsign" to 9,
+        "Softplus" to 10
+)
+
+val lstmBlock = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "BlockLSTM",
+        opName = "lstmBlock",
+        tensorMappingRules = listOf(
+                mappingNDArrayInputs(mutableMapOf(
+                        "maxTSLength" to "seq_len_max",
+                        "input" to "x",
+                        "cLast" to "cs_prev",
+                        "yLast" to "h_prev",
+                        "W" to "w",
+                        "Wci" to "wci",
+                        "Wcf" to "wcf",
+                        "Wco" to "wco",
+                        "b" to "b"))
+        ),
+        attributeMappingRules =  listOf(
+                valueMapping(mutableMapOf("forgetBias" to "forget_bias","clippingCellValue" to "cell_clip")),
+                invertBooleanNumber(mutableMapOf("peephole" to "use_peephole")),
+                intConstant(inputName = "dataFormat",constantValue = 0 ,argumentIndex = 0)[0])
+)
+
+val lstmBlockV2 = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "BlockLSTMV2",
+        opName = "lstmBlock",
+        tensorMappingRules = listOf(
+                mappingNDArrayInputs(mutableMapOf(
+                        "maxTSLength" to "seq_len_max",
+                        "input" to "x",
+                        "cLast" to "cs_prev",
+                        "yLast" to "h_prev",
+                        "W" to "w",
+                        "Wci" to "wci",
+                        "Wcf" to "wcf",
+                        "Wco" to "wco",
+                        "b" to "b"))
+        ),
+        attributeMappingRules =  listOf(
+                valueMapping(mutableMapOf("clippingCellValue" to "cell_clip")),
+                invertBooleanNumber(mutableMapOf("peephole" to "use_peephole")),
+                doubleConstant(inputName = "forgetBias",constantValue = 3.0,argumentIndex = 0)[0],
+                intConstant(inputName = "dataFormat",constantValue = 0 ,argumentIndex = 0)[0])
+)
+
+val lstmBlockCell = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "LSTMBlockCell",
+        opName = "lstmBlockCell",
+        tensorMappingRules = listOf(
+                mappingNDArrayInputs(mutableMapOf(
+                        "xt" to "x",
+                        "cLast" to "cs_prev",
+                        "yLast" to "h_prev",
+                        "W" to "w",
+                        "Wci" to "wci",
+                        "Wcf" to "wcf",
+                        "Wco" to "wco",
+                        "b" to "b"))
+        ),
+        attributeMappingRules =  listOf(
+                valueMapping(mutableMapOf("forgetBias" to "forget_bias","clippingCellValue" to "cell_clip")),
+                invertBooleanNumber(mutableMapOf("peephole" to "use_peephole")))
+)
+
+val gruCell = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "GRUBlockCell",
+        opName = "gruCell",
+        tensorMappingRules = listOf(
+                mappingNDArrayInputs(mutableMapOf(
+                        "input" to "x",
+                        "hLast" to "h_prev",
+                        "Wru" to "w_ru",
+                        "Wc" to "w_c",
+                        "bru" to "b_ru",
+                        "bc" to "b_c"))
+        )
+)
+
+val listDiff = mapTensorNamesWithOp(inputFrameworkOpName = "ListDiff",
+        opName = "listdiff",
+        tensorNames = mutableMapOf("values" to "x","keep" to "y")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+val logMatrixDeterminant = mapTensorNamesWithOp(
+        inputFrameworkOpName = "LogMatrixDeterminant",
+        opName = "log_matrix_determinant",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val logicalAnd = mapTensorNamesWithOp(inputFrameworkOpName = "LogicalAnd",opName = "boolean_and",tensorNames = mutableMapOf("input" to "x","y" to "y")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+val logicalNot = mapTensorNamesWithOp(inputFrameworkOpName = "LogicalNot",opName = "boolean_not",tensorNames = mutableMapOf("input" to "x")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val lu = mapTensorNamesWithOp(inputFrameworkOpName = "Lu",opName = "lu",tensorNames = mutableMapOf("input" to "input")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val gemm = multipleNameMapping(inputFrameworkOpNames = listOf("MatMul"),opName = "matmul",
+        tensorNames = mutableMapOf("input" to "a","y" to "b"),
+        attributeMappingRules =
+        listOf(doubleConstant(inputName = "alpha",constantValue = 1.0,argumentIndex = 0)[0],
+                doubleConstant(inputName = "beta",constantValue = 0.0,argumentIndex = 1)[0],
+                invertBooleanNumber(mutableMapOf("transX" to "transpose_a","transY" to "transpose_b")),
+                intConstant(inputName = "transZ",constantValue = 0 ,argumentIndex = 2)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val batchMatMul = multipleNameMapping(inputFrameworkOpNames = listOf("BatchMatMul"),opName = "matmul",
+        tensorNames = mutableMapOf("input" to "x","y" to "y"),
+        attributeMappingRules =
+        listOf(doubleConstant(inputName = "alpha",constantValue = 1.0,argumentIndex = 0)[0],
+                doubleConstant(inputName = "beta",constantValue = 1.0,argumentIndex = 1)[0],
+                invertBooleanNumber(mutableMapOf("transX" to "adj_x","transY" to "adj_y")),
+                intConstant(inputName = "transZ",constantValue = 0 ,argumentIndex = 2)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val batchMatMulV2 = multipleNameMapping(inputFrameworkOpNames = listOf("BatchMatMulV2"),opName = "matmul",
+        tensorNames = mutableMapOf("input" to "x","y" to "y"),
+        attributeMappingRules =
+        listOf(doubleConstant(inputName = "alpha",constantValue = 1.0,argumentIndex = 0)[0],
+                doubleConstant(inputName = "beta",constantValue = 1.0,argumentIndex = 1)[0],
+                invertBooleanNumber(mutableMapOf("transX" to "adj_x","transY" to "adj_y")),
+                intConstant(inputName = "transZ",constantValue = 0 ,argumentIndex = 2)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val matrixSetDiag = multipleNameMapping(inputFrameworkOpNames = listOf("MatrixSetDiag","BatchMatrixSetDiag"),
+        opName = "matrix_set_diag",
+        tensorNames = mutableMapOf("input" to "input","diagonal" to "diagonal"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+val matrixSetDiagPart = multipleNameMapping(inputFrameworkOpNames = listOf("MatrixDiagPart"),
+        opName = "matrix_diag_part",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorNames = mutableMapOf("input" to "input"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val matrixDiag = multipleNameMapping(inputFrameworkOpNames = listOf("MatrixDiag"),
+        opName = "matrix_diag",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorNames = mutableMapOf("diagonal" to "diagonal"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val matrixSolve = mapTensorNamesWithOp(inputFrameworkOpName = "MatrixSolve",opName = "solve"
+        ,tensorNames = mutableMapOf("a" to "matrix","b" to "rhs"),
+        attributeMappingRules = listOf(valueMapping(mapOf("useAdjoint" to "adjoint")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+val matrixTriangularSolve = mapTensorNamesWithOp(inputFrameworkOpName = "MatrixTriangularSolve"
+        ,opName = "triangular_solve",tensorNames =
+        mutableMapOf("a" to "matrix","b" to "rhs"),
+        attributeMappingRules = listOf(valueMapping(mapOf("useAdjoint" to "adjoint","isLower" to "lower"))),
+        tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val matrixDeterminant = multipleNameMapping(inputFrameworkOpNames = listOf("BatchMatrixDeterminant","MatrixDeterminant")
+        ,opName = "matrix_determinant",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val minPairWise = mapTensorNamesWithOp(inputFrameworkOpName = "Minimum",
+        opName = "minimum",
+        tensorNames = mutableMapOf("input" to "x","y" to "y")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val maxPool = multipleNameMapping(
+        inputFrameworkOpNames = listOf("MaxPool"),
+        opName = "maxpool2d",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 4)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 5)[0],
+                intConstant(inputName = "dW",constantValue = 1 ,argumentIndex = 6)[0],
+                intConstant(inputName = "dH",constantValue = 1 ,argumentIndex = 7)[0],
+                intConstant(inputName = "extraParam0",constantValue = 1 ,argumentIndex = 9)[0],
+                stringNotEqualsRule(outputAttribute = "isNCHW",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 10),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 8),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sH", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 2),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "sW", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 3),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "kH", attributeNameOfListAttribute = "ksize", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 0),
+                conditionalFieldValueIntIndexArrayRule(outputAttribute = "kW", attributeNameOfListAttribute = "ksize", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 1)
+        )
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val maxPoolArgmax = multipleNameMapping(
+        inputFrameworkOpNames = listOf("MaxPoolWithArgmax"),
+        opName = "max_pool_with_argmax",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "kH",constantValue = 1 ,argumentIndex = 0)[0],
+                intConstant(inputName = "kW",constantValue = 1 ,argumentIndex = 1)[0],
+                intConstant(inputName = "sH",constantValue = 1 ,argumentIndex = 2)[0],
+                intConstant(inputName = "sW",constantValue = 1 ,argumentIndex = 3)[0],
+                intConstant(inputName = "pH",constantValue = 1 ,argumentIndex = 4)[0],
+                intConstant(inputName = "pW",constantValue = 1 ,argumentIndex = 5)[0],
+                intConstant(inputName = "dH",constantValue = 1 ,argumentIndex = 6)[0],
+                intConstant(inputName = "dW",constantValue = 1 ,argumentIndex = 7)[0],
+                intConstant(inputName = "extraParam0",constantValue = 0 ,argumentIndex = 9)[0],
+                intConstant(inputName = "isNHWC",argumentIndex = 10,constantValue = 1 )[0],
+                intConstant(inputName = "sameMode",argumentIndex = 8,constantValue = 8 )[0],
+                valueMapping(mutableMapOf("dtype" to "Targmax"))
+        )
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val maxPoolV2 = multipleNameMapping(
+        inputFrameworkOpNames = listOf("MaxPoolV2"),
+        opName = "maxpool2d",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "extraParam0",constantValue = 0 ,argumentIndex = 9)[0],
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 4)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 5)[0],
+                intConstant(inputName = "dW",constantValue = 1 ,argumentIndex = 6)[0],
+                intConstant(inputName = "dH",constantValue = 1 ,argumentIndex = 7)[0],
+                stringNotEqualsRule(outputAttribute = "isNCHW",inputFrameworkAttributeName = "data_format",valueToTest = "NCHW",argumentIndex = 10),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 8),
+                conditionalFieldValueIntIndexNDArrayRule(outputAttribute = "sH", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 2),
+                conditionalFieldValueIntIndexNDArrayRule(outputAttribute = "sW", attributeNameOfListAttribute = "strides", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 3),
+                conditionalFieldValueIntIndexNDArrayRule(outputAttribute = "kH", attributeNameOfListAttribute = "ksize", targetValue = "NCHW", trueIndex = 2,
+                        falseIndex = 1,inputFrameworkStringNameToTest = "data_format",argumentIndex = 0),
+                conditionalFieldValueIntIndexNDArrayRule(outputAttribute = "kW", attributeNameOfListAttribute = "ksize", targetValue = "NCHW", trueIndex = 3,
+                        falseIndex = 2,inputFrameworkStringNameToTest = "data_format",argumentIndex = 1)
+        )
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val maxPool3d = TensorflowMappingProcess(
+        inputFrameworkOpName = "MaxPool3D",
+        opName = "maxpool3dnew",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(
+                intConstant(inputName = "extraParam0",constantValue = 0 ,argumentIndex = 13)[0],
+                intConstant(inputName = "pD",constantValue = 0 ,argumentIndex = 6)[0],
+                intConstant(inputName = "pH",constantValue = 0 ,argumentIndex = 7)[0],
+                intConstant(inputName = "pW",constantValue = 0 ,argumentIndex = 8)[0],
+                intConstant(inputName = "dD",constantValue = 1 ,argumentIndex = 9)[0],
+                intConstant(inputName = "dH",constantValue = 1 ,argumentIndex = 10)[0],
+                intConstant(inputName = "dW",constantValue = 1 ,argumentIndex = 11)[0],
+                stringEqualsRule(outputAttribute = "isNCDHW",inputFrameworkAttributeName = "data_format",valueToTest = "NDHWC",argumentIndex = 14),
+                stringEqualsRule(outputAttribute = "isSameMode",inputFrameworkAttributeName = "padding",valueToTest = "SAME",argumentIndex = 12),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kH",inputAttributeValue = "ksize",idx = 3,argumentIndex = 2),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kW",inputAttributeValue = "ksize",idx = 2,argumentIndex = 1),
+                listAttributeValueLookupToIndex(outputAttributeValue = "kD",inputAttributeValue = "ksize",idx = 1,argumentIndex = 0),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sH",inputAttributeValue = "strides",idx = 3,argumentIndex = 5),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sW",inputAttributeValue = "strides",idx = 2,argumentIndex = 4),
+                listAttributeValueLookupToIndex(outputAttributeValue = "sD",inputAttributeValue = "strides",idx = 1,argumentIndex = 3),
+        )
+)
+
+
+val loopCond = mapTensorNamesWithOp(inputFrameworkOpName = "LoopCond",opName = "loop_cond",
+        tensorNames = mutableMapOf("input" to "input")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+val merge = TensorflowMappingProcess(inputFrameworkOpName = "Merge",
+        opName = "merge",
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("input" to "inputs"))),
+        opMappingRegistry = tensorflowOpRegistry)
+
+val mirrorPadding = mapTensorNamesWithOp(inputFrameworkOpName = "MirrorPad",opName = "mirror_pad",
+        tensorNames = mutableMapOf("input" to "input","paddings" to "paddings"),
+        attributeMappingRules = listOf(stringNotEqualsRule(outputAttribute = "mode",
+                inputFrameworkAttributeName = "mode",valueToTest = "REFLECT",argumentIndex = 0),
+                booleanConstant(inputName = "isSymmetric",constantValue = true,argumentIndex = 0)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+
+val matrixBandPart = mapTensorNamesWithOp(inputFrameworkOpName = "MatrixBandPart",opName = "matrix_band_part",
+        tensorNames = mutableMapOf("input" to "input","minLowerT" to "num_lower",
+                "maxUpperT" to "num_upper"),
+        attributeMappingRules = listOf()
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val nonMaxSuppressionV1 = multipleNameMapping(inputFrameworkOpNames = listOf("NonMaxSuppression"),
+        opName = "non_max_suppression",
+        tensorNames = mutableMapOf("boxes" to "boxes","scales" to "scores",
+                "maxOutputSize" to "max_output_size"),
+        attributeMappingRules = listOf(
+                argDescriptorConstant(listOf(
+                        ArgDescriptor {
+                                doubleValue = 0.5
+                                name = "scoreThreshold"
+                                argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                                argIndex = 1
+                        }
+                )),
+                valueMapping(mutableMapOf("overlayThreshold" to "iou_threshold")),
+                convertNDArrayInputToNumericalAttr(mutableMapOf("maxOutputSize" to "max_output_size")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+
+val nonMaxSuppressionV2 = multipleNameMapping(inputFrameworkOpNames = listOf("NonMaxSuppressionV2"),
+        opName = "non_max_suppression",
+        tensorNames = mutableMapOf("boxes" to "boxes","scales" to "scores",
+                "overlayThreshold" to "iou_threshold","maxOutputSize" to "max_output_size"),
+        attributeMappingRules = listOf(
+                argDescriptorConstant(listOf(
+                        ArgDescriptor {
+                                doubleValue = 0.5
+                                name = "scoreThreshold"
+                                argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                                argIndex = 1
+                        }
+                )),
+                convertNDArrayInputToNumericalAttr(mutableMapOf(
+                        "maxOutputSize" to "max_output_size"
+                )))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val nonMaxSuppressionV3 = multipleNameMapping(inputFrameworkOpNames = listOf("NonMaxSuppressionV3"),
+        opName = "non_max_suppression_v3",
+        tensorNames = mutableMapOf("boxes" to "boxes","scales" to "scores",
+                "maxOutSize" to "max_output_size", "iouThreshold" to "iou_threshold", "scoreThreshold" to "score_threshold"),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf(
+                        "maxOutputSize" to "max_output_size"
+                )))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val nonMaxSuppressionV4 = multipleNameMapping(inputFrameworkOpNames = listOf("NonMaxSuppressionV4"),
+        opName = "non_max_suppression_v3",
+        tensorNames = mutableMapOf("boxes" to "boxes","scales" to "scores",
+                "maxOutSize" to "max_output_size", "iouThreshold" to "iou_threshold", "scoreThreshold" to "score_threshold"),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf(
+                        "maxOutputSize" to "max_output_size"
+                )))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val matrixInverse = multipleNameMapping(inputFrameworkOpNames = listOf("MatrixInverse","BatchMatrixInverse"),opName = "matrix_inverse",
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = true,argumentIndex = 0),
+        tensorNames = mutableMapOf("input" to "input")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//TODO: There might be a subtle difference in the way max threshold is interpreted.
+//Tensorflow gives exact number back, whereas we may give back less.
+//See the non_max_suppression_overlaps test case in TestTensorflowIR
+val nonMaxSuppressionOverlaps = multipleNameMapping(inputFrameworkOpNames = listOf("NonMaxSuppressionWithOverlaps"),
+        opName = "non_max_suppression_overlaps",
+        tensorNames = mutableMapOf("scales" to "scores","boxes" to "overlaps"),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf(
+                        "maxOutputSize" to "max_output_size",
+                        "overlapThreshold" to "overlap_threshold",
+                        "scoreThreshold" to "score_threshold")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val nthElement = mapTensorNamesWithOp(inputFrameworkOpName = "NthElement",opName = "nth_element",
+        tensorNames = mutableMapOf("n" to "n","input" to "input"),
+        attributeMappingRules = listOf(invertBooleanNumber(mapOf("reverse" to "reverse"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val oneHot = mapTensorNamesWithOp(inputFrameworkOpName = "OneHot",opName = "onehot",
+        tensorNames = mutableMapOf("input" to "indices"),
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf("on" to "on_value","off" to "off_value"
+                        ,"depth" to "depth")),
+                valueMapping(mutableMapOf("dimensions" to "axis","dataType" to "T")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val or = mapTensorNamesWithOp(inputFrameworkOpName = "LogicalOr",opName = "boolean_or",
+        tensorNames = mutableMapOf("input" to "x","y" to "y"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val onesLike = mapTensorNamesWithOp(inputFrameworkOpName = "OnesLike",
+        opName = "ones_as",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dataType" to "T"))),
+        tensorNames = mutableMapOf("input" to "x"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+
+val pow = mapTensorNamesWithOp(inputFrameworkOpName = "Pow",opName = "Pow",
+        attributeMappingRules = listOf(),
+        tensorNames = mutableMapOf("input" to "x","y" to "y"),tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val rank = mapTensorNamesWithOp(inputFrameworkOpName = "Rank", opName = "rank",tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(argDescriptorConstant(listOf(ArgDescriptor {
+                name = "inPlace"
+                boolValue = false
+                argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                argIndex = 0
+
+        }))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val relu6 = multipleNameMapping(inputFrameworkOpNames = listOf("Relu6"),opName = "relu6",
+        attributeMappingRules = listOf(
+                valueMapping(mutableMapOf("dtype" to "T")),
+                argDescriptorConstant(
+                        listOf(ArgDescriptor {
+                                name = "inPlace"
+                                boolValue = false
+                                argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                                argIndex = 0
+                        },
+                                ArgDescriptor {
+                                        name = "cutoff"
+                                        doubleValue = 0.0
+                                        argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                                        argIndex = 0
+                                })
+                )),
+        tensorNames = mutableMapOf("input" to "features")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+
+val stack = TensorflowMappingProcess(inputFrameworkOpName ="Pack",
+        opName = "stack",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dimensions" to "axis",
+                "dtype" to "T"))),
+        tensorMappingRules = listOf(mappingListNDArrays(mutableMapOf("input" to "values"))),
+        opMappingRegistry = tensorflowOpRegistry)
+
+/**
+ * // in case of REFLECT and SYMMETRIC modes paddings must obey additional shape requirements
+if (INT_ARG(0) == 0) { // CONSTANT mode
+if(block.width() > 2) {
+REQUIRE_TRUE(input->dataType() == INPUT_VARIABLE(2)->dataType(), 0, "PAD op: data types of input and padValue arrays should be the same but got %i and %i correspondingly !", input->dataType(), INPUT_VARIABLE(2)->dataType());
+padValue.assign(INPUT_VARIABLE(2)->e(0));
+}
+else if (!block.getTArguments()->empty())
+padValue = T_ARG(0);
+}
+else if(INT_ARG(0) == 1) {		// REFLECT mode
+for(int dim=0; dim < rank; ++dim)
+REQUIRE_TRUE(paddings->e(dim,0) <= (input->shapeOf()[dim]-1) && paddings->e(dim,1) <= (input->shapeOf()[dim]-1), 0, "PAD op: wrong content of paddings array for REFLECT mode !");
+}
+if(INT_ARG(0) == 2) {		// SYMMETRIC mode
+for(int dim=0; dim < rank; ++dim)
+REQUIRE_TRUE(paddings->e(dim,0) <= input->shapeOf()[dim] && paddings->e(dim,1)  <= input->shapeOf()[dim], 0, "PAD op: wrong content of paddings array for SYMMETRIC mode !");
+}
+ */
+val pad = multipleNameMapping(inputFrameworkOpNames = listOf("Pad"),
+        opName = "pad",tensorNames = mutableMapOf("input" to "input","paddings" to "paddings"),attributeMappingRules =
+        listOf(argDescriptorConstant(listOf(
+                ArgDescriptor {
+                        //note: tensorflow only supports constant mode
+                        name = "mode"
+                        int64Value = 0
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        argIndex = 0
+                },
+                ArgDescriptor {
+                        name = "padValue"
+                        doubleValue = 0.0
+                        argIndex = 0
+                        argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
+                        argIndex = 0
+                }
+        )))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val padV2 = multipleNameMapping(inputFrameworkOpNames = listOf("PadV2"),
+        opName = "pad",tensorNames = mutableMapOf("input" to "input","paddings" to "paddings"),
+        attributeMappingRules =
+        listOf(convertNDArrayInputToNumericalAttr(mutableMapOf("padValue" to "constant_values")),
+                argDescriptorConstant(listOf(
+                        ArgDescriptor {
+                                //note: tensorflow only supports constant mode
+                                name = "mode"
+                                int64Value = 0
+                                argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                                argIndex = 0
+                        }
+                )))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val randomCrop = mapTensorNamesWithOp(inputFrameworkOpName = "RandomCrop",opName = "random_crop",tensorNames = mutableMapOf("input" to "image","shape" to "size"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("seed" to "seed")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val placeHolder = mapTensorNamesWithOp(inputFrameworkOpName = "Placeholder",opName = "placeholder",
+        tensorNames = mutableMapOf(),
+        attributeMappingRules = listOf()
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val placeHolderWithDefault = mapTensorNamesWithOp(inputFrameworkOpName = "PlaceholderWithDefault",opName = "placeholder",
+        tensorNames = mutableMapOf(),
+        attributeMappingRules = listOf()
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val randomGamma = mapTensorNamesWithOp(inputFrameworkOpName = "RandomGamma",opName = "random_gamma",tensorNames = mutableMapOf("shape" to "shape","alpha" to "alpha"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("seed" to "seed"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val rgbToHsv = mapTensorNamesWithOp(inputFrameworkOpName = "RGBToHSV",opName = "rgb_to_hsv",tensorNames = mutableMapOf("input" to "images"),
+        attributeMappingRules = listOf()
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val hsvToRgb = mapTensorNamesWithOp(inputFrameworkOpName = "HSVToRGB",opName = "hsv_to_rgb",tensorNames = mutableMapOf("input" to "images"),
+        attributeMappingRules = listOf()
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val randomPoisson = multipleNameMapping(inputFrameworkOpNames = listOf("RandomPoisson"),opName = "random_poisson",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("seed" to "seed","dtype" to "dtype"))),
+        tensorNames = mutableMapOf("shape" to "shape","lambda" to "rate")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val randomPoissonv2 = multipleNameMapping(inputFrameworkOpNames = listOf("RandomPoissonV2"),opName = "random_poisson",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("seed" to "seed","dtype" to "dtype"))),
+        tensorNames = mutableMapOf("shape" to "shape","lambda" to "rate")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val randomShuffle = mapTensorNamesWithOp(inputFrameworkOpName = "RandomShuffle",opName = "random_shuffle",
+        tensorNames = mutableMapOf("input" to "value"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("seeds" to "seed"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+//TODO: Look at extra arguments generated like T_ARG(1));
+val randomStandardNormal = multipleNameMapping(inputFrameworkOpNames = listOf("RandomStandardNormal"),opName = "random_normal",
+        tensorNames = mutableMapOf("input" to "shape"),
+        attributeMappingRules =  listOf(valueMapping(mutableMapOf("dtype" to "dtype")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//note: tensorflow hard codes the value at 0 to 1 while we allow customization here
+
+val randomUniform = multipleNameMapping(
+        inputFrameworkOpNames = listOf("RandomUniform"),
+        opName = "randomuniform",
+        tensorNames = mutableMapOf("shape" to "shape"),
+        attributeMappingRules =  listOf(
+                doubleConstant(inputName = "max",constantValue = 1.0,argumentIndex = 1)[0],
+                doubleConstant(inputName = "min",constantValue = 0.0,argumentIndex = 0)[0],
+                dataTypeToInt(mutableMapOf("dtype" to "dtype")),
+                valueMapping(mutableMapOf("dataType" to "dtype","seed" to "seed")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+
+val statelessRandomUniform = multipleNameMapping(
+        inputFrameworkOpNames = listOf("StatelessRandomUniform"),
+        opName = "randomuniform",
+        tensorNames = mutableMapOf("shape" to "shape"),
+        attributeMappingRules =  listOf(
+                doubleConstant(inputName = "max",constantValue = 1.0,argumentIndex = 1)[0],
+                doubleConstant(inputName = "min",constantValue = 0.0,argumentIndex = 0)[0],
+                ndarrayToIntList(mutableMapOf("seed" to "seed")),
+                dataTypeToInt(mutableMapOf("dtype" to "dtype")),
+                valueMapping(mutableMapOf("dataType" to "dtype")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+
+val randomUniformInt = TensorflowMappingProcess(
+        inputFrameworkOpName = "RandomUniformInt",
+        opName = "randomuniform",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("shape" to "shape"))),
+        attributeMappingRules =  listOf(
+                valueMapping(mutableMapOf("seed" to "seed")),
+                convertNDArrayInputToNumericalAttr(mutableMapOf("min" to "minval","max" to "maxval")),
+                dataTypeToInt(mutableMapOf("dtype" to "Tout")),valueMapping(mutableMapOf("dataType" to "Tout"))
+        ),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+val range = multipleNameMapping(inputFrameworkOpNames = listOf("Range"),opName = "range",
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf("from" to "start",
+                        "to" to "limit","step" to "delta")),
+                valueMapping(mutableMapOf("dtype" to "Tidx"))),
+        tensorNames = mutableMapOf("from" to "start","to" to "limit","step" to "delta"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val relu = mapTensorNamesWithOp(inputFrameworkOpName = "Relu",opName = "relu",tensorNames = mutableMapOf("input" to "features"),
+        attributeMappingRules = listOf(doubleConstant(inputName = "cutoff",constantValue = 0.0,argumentIndex = 0)[0],
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val reshape = multipleNameMapping(inputFrameworkOpNames = listOf("Reshape"),opName = "reshape",
+        tensorNames = mutableMapOf("input" to "tensor","shape" to "shape"),
+        attributeMappingRules = listOf(),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val resizeArea = multipleNameMapping(inputFrameworkOpNames = listOf("ResizeArea"),opName = "resize_area",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("alignCorners" to "align_corners"))),
+        tensorNames = mutableMapOf("image" to "images","size" to "size"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val resizeBiCubic = multipleNameMapping(inputFrameworkOpNames = listOf("ResizeBicubic"),opName = "resize_bicubic",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("alignCorners" to "align_corners","alignPixelCenters" to "half_pixel_centers"))),
+        tensorNames = mutableMapOf("image" to "images","size" to "size"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val resizeBiLinear = multipleNameMapping(inputFrameworkOpNames = listOf("ResizeBilinear"),opName = "resize_bilinear",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("alignCorners" to "align_corners","halfPixelCenters" to "half_pixel_centers"))),
+        tensorNames = mutableMapOf("image" to "images","newImageSize" to "size"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val resizeNearestNeighbor = multipleNameMapping(inputFrameworkOpNames = listOf("ResizeNearestNeighbor"),opName = "resize_nearest_neighbor",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("alignCorners" to "align_corners","halfPixelCenter" to "half_pixel_centers"))),
+        tensorNames = mutableMapOf("image" to "images","newImageSize" to "size")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val reverse = multipleNameMapping(inputFrameworkOpNames = listOf("ReverseV2"),opName = "reverse",
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("dimensions" to "axis"))),
+        tensorNames = mutableMapOf("input" to "tensor"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val reverseSequence = multipleNameMapping(inputFrameworkOpNames = listOf("ReverseSequence"),opName = "reverse_sequence",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("batchDim" to "batch_dim","seqDim" to "seq_dim"))),
+        tensorNames = mutableMapOf("input" to "input","seqLengths" to "seq_lengths")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val roll = multipleNameMapping(inputFrameworkOpNames = listOf("Roll"),opName = "roll",
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("shift" to "shift"))),
+        tensorNames = mutableMapOf("input" to "input","dimensions" to "axis","shiftsI" to "shift")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//TODO: verify usingLocking property, it's not showing up in descriptors
+val tesnorScatterAdd = multipleNameMapping(inputFrameworkOpNames = listOf("TensorScatterAdd"),opName = "scatter_add",
+        tensorNames = mutableMapOf("input" to "tensor","indices" to "indices","updates" to "updates"),
+        attributeMappingRules =
+        listOf(booleanConstant(inputName = "lock",constantValue = false,0)[0],
+                booleanConstant(inputName = "checkIndices",constantValue = false,argumentIndex = 1)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterAdd = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterAdd"),opName = "scatter_add",
+        tensorNames = mutableMapOf("input" to "ref","indices" to "indices","updates" to "updates"),
+        attributeMappingRules =
+        listOf(booleanConstant(inputName = "lock",constantValue = false,0)[0],
+                booleanConstant(inputName = "checkIndices",constantValue = false,argumentIndex = 1)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val scatterDiv = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterDiv"),opName = "scatter_div",
+        tensorNames = mutableMapOf("input" to "ref","indices" to "indices","updates" to "updates"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterMax = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterMax"),opName = "scatter_max",
+        tensorNames = mutableMapOf("input" to "ref","indices" to "indices","updates" to "updates"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val tensorScatterMax = multipleNameMapping(inputFrameworkOpNames = listOf("TensorScatterMax"),opName = "scatter_max",
+        tensorNames = mutableMapOf("input" to "tensor","indices" to "indices","updates" to "updates"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val tensorScatterMin = multipleNameMapping(inputFrameworkOpNames = listOf("TensorScatterMin"),opName = "scatter_min",
+        tensorNames = mutableMapOf("input" to "tensor","indices" to "indices","updates" to "updates"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterMin = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterMin"),opName = "scatter_min",
+        tensorNames = mutableMapOf("input" to "ref","indices" to "indices","updates" to "updates"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterMul = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterMul"),opName = "scatter_mul",
+        tensorNames = mutableMapOf("indices" to "indices","updates" to "updates","input" to "ref"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterNd = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterNd"),opName = "scatter_nd",
+        tensorNames = mutableMapOf("indices" to "indices","updates" to "updates","shape" to "shape"),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "lock",constantValue = false,argumentIndex = 0)[0],
+                booleanConstant(inputName = "checkIndices",constantValue = false,argumentIndex = 1)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterNdAdd = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterNdAdd"),opName = "scatter_nd_add",
+        tensorNames = mutableMapOf("indices" to "indices","updates" to "updates","input" to "ref"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterNdSub = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterNdSub"),opName = "scatter_nd_sub",
+        tensorNames = mutableMapOf("indices" to "indices","updates" to "updates","input" to "ref"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterNdUpdate = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterNdUpdate"),opName = "scatter_nd_update",
+        tensorNames = mutableMapOf("indices" to "indices","updates" to "updates","input" to "ref"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val tensorScatterSub = multipleNameMapping(inputFrameworkOpNames = listOf("TensorScatterSub"),
+        opName = "scatter_sub",
+        tensorNames = mutableMapOf("indices" to "indices",
+                "updates" to "updates","input" to "tensor"),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "lock",constantValue = false,
+                        argumentIndex = 0)[0],
+                booleanConstant(inputName = "checkIndices",constantValue = false,
+                        argumentIndex = 1)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val scatterSub = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterSub"),
+        opName = "scatter_sub",
+        tensorNames = mutableMapOf("indices" to "indices",
+                "updates" to "updates","input" to "ref"),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "lock",constantValue = false,
+                        argumentIndex = 0)[0],
+                booleanConstant(inputName = "checkIndices",constantValue = false,
+                        argumentIndex = 1)[0])
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//TODO: note: TF expects indices, we don't support them?
+val scatterUpdate = multipleNameMapping(inputFrameworkOpNames = listOf("ScatterUpdate"),opName = "scatter_upd",
+        attributeMappingRules = listOf(),
+        tensorNames = mutableMapOf("input" to "ref","updates" to "updates","indices" to "indices"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val tensorScatterUpdate = multipleNameMapping(inputFrameworkOpNames = listOf("TensorScatterUpdate"),opName = "scatter_upd",
+        attributeMappingRules = listOf(),
+        tensorNames = mutableMapOf("input" to "tensor","updates" to "updates","indices" to "indices"),tensorflowOpRegistry = tensorflowOpRegistry)
+//L2Loss
+val l2Loss = multipleNameMapping(inputFrameworkOpNames = listOf("L2Loss"),opName = "l2_loss",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorNames = mutableMapOf("input" to "t")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val select = mapTensorNamesWithOp(inputFrameworkOpName = "Select",opName = "select",tensorNames = mutableMapOf("cond" to "condition","input" to "t","y" to "e")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val segmentMean = multipleNameMapping(inputFrameworkOpNames = listOf("SegmentMean"),opName = "segment_mean",
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val segmentMin = multipleNameMapping(inputFrameworkOpNames = listOf("SegmentMin"),opName = "segment_min",
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val segmentMax = multipleNameMapping(inputFrameworkOpNames = listOf("SegmentMax"),opName = "segment_max",
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val segmentProd = multipleNameMapping(inputFrameworkOpNames = listOf("SegmentProd"),opName = "segment_prod",
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val segmentSum = multipleNameMapping(inputFrameworkOpNames = listOf("SegmentSum"),opName = "segment_sum",
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val size = TensorflowMappingProcess(
+        opMappingRegistry = tensorflowOpRegistry,
+        inputFrameworkOpName = "Size",
+        opName = "size",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "out_type"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input")))
+)
+
+val slice = mapTensorNamesWithOp(inputFrameworkOpName = "Slice",opName = "slice",
+        tensorNames = mutableMapOf("input" to "input","b" to "begin","e" to "size"),
+        attributeMappingRules = listOf(ndarrayToIntList(mutableMapOf("size" to "size"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val selu = mapTensorNamesWithOp(inputFrameworkOpName = "Selu",opName = "selu",tensorNames = mutableMapOf("input" to "features"),
+        attributeMappingRules =
+        booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val shapeOf = mapTensorNamesWithOp(inputFrameworkOpName = "Shape",
+        opName = "shape_of",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dtype" to "out_type"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val softPlus = mapTensorNamesWithOp(inputFrameworkOpName = "Softplus",opName = "softplus",tensorNames = mutableMapOf("input" to "features"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),tensorflowOpRegistry = tensorflowOpRegistry)
+val softSign = mapTensorNamesWithOp(inputFrameworkOpName = "Softsign",opName = "softsign",tensorNames = mutableMapOf("input" to "features"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val shapeN = TensorflowMappingProcess(inputFrameworkOpName = "ShapeN",opName = "shapes_of",tensorMappingRules = listOf(
+        passThroughNDArrayInputs()),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex =  0),opMappingRegistry = tensorflowOpRegistry)
+
+val softMax = mapTensorNamesWithOp(inputFrameworkOpName = "Softmax",opName = "softmax",tensorNames = mutableMapOf("input" to "logits"),attributeMappingRules =
+listOf(argDescriptorConstant(
+        listOf(
+                ArgDescriptor {
+                        name = "dimension"
+                        int64Value = 1
+                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
+                        argIndex = 0
+                },
+                ArgDescriptor {
+                        name = "inPlace"
+                        boolValue = false
+                        argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                        argIndex = 0
+                }
+        )
+)),tensorflowOpRegistry = tensorflowOpRegistry)
+val logSoftmax = mapTensorNamesWithOp(inputFrameworkOpName = "LogSoftmax",
+        opName = "log_softmax",tensorNames = mutableMapOf("input" to "logits")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//FakeQuantWithMinMaxVars
+//FakeQuantWithMinMaxVarsPerChannel
+val fakeQuantWithMinMaxVars = TensorflowMappingProcess(
+        opName = "fake_quant_with_min_max_vars",
+        inputFrameworkOpName = "FakeQuantWithMinMaxVars",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                valueMapping(mapOf("numBits" to "num_bits","narrowed" to "narrow_range"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "inputs","min" to "min","max" to "max")))
+)
+
+val fakeQuantWithMinMaxVarsPerChannel = TensorflowMappingProcess(
+        opName = "fake_quant_with_min_max_vars_per_channel",
+        inputFrameworkOpName = "FakeQuantWithMinMaxVarsPerChannel",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                valueMapping(mapOf("numBits" to "num_bits","narrowed" to "narrow_range"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "inputs","min" to "min","max" to "max")))
+)
+
+val fakeQuantWithMinArgs = TensorflowMappingProcess(
+        opName = "fake_quant_with_min_max_args",
+        inputFrameworkOpName = "FakeQuantWithMinMaxArgs",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                valueMapping(mapOf("min" to "min","max" to "max","numBits" to "num_bits","narrowRange" to "narrow_range"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "inputs")))
+)
+
+val sparseSoftmax = TensorflowMappingProcess(
+        opName = "sparse_softmax_cross_entropy_loss_with_logits",
+        inputFrameworkOpName = "SparseSoftmaxCrossEntropyWithLogits",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                valueMapping(mapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("labels" to "labels","logits" to "features"))),
+        inputIndexOverrides = mapOf(1 to 0,0 to 1)
+)
+
+//SoftmaxCrossEntropyWithLogits
+val softmaxCrossEntryopyWithLogits = TensorflowMappingProcess(
+        opName = "softmax_cross_entropy_loss_with_logits",
+        inputFrameworkOpName = "SoftmaxCrossEntropyWithLogits",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                valueMapping(mapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("labels" to "labels","logits" to "features")))
+
+)
+
+
+val spaceToBatch = TensorflowMappingProcess(
+        opName = "space_to_batch",
+        inputFrameworkOpName = "SpaceToBatch",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                valueMapping(mapOf("blockSize" to "block_size"))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","padding" to "paddings")))
+)
+
+val spaceToBatchNd = TensorflowMappingProcess(
+        opName = "space_to_batch_nd",
+        inputFrameworkOpName = "SpaceToBatchND",
+        opMappingRegistry = tensorflowOpRegistry,
+        attributeMappingRules = listOf(
+                ndarrayToIntList(mutableMapOf("blocks" to "block_shape")),
+                argDescriptorConstant(listOf(
+                        ArgDescriptor {
+                                name = "inPlace"
+                                boolValue = false
+                                argType = OpNamespace.ArgDescriptor.ArgType.BOOL
+                                argIndex = 0
+
+                        }
+                ))),
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input","blockShape" to "block_shape","padding" to "paddings")))
+)
+
+val spaceToDepth = TensorflowMappingProcess(
+        opName = "space_to_depth",
+        inputFrameworkOpName = "SpaceToDepth",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMapping(mapOf("block_size" to "block_size")),
+                stringEqualsRule("isNHWC",inputFrameworkAttributeName = "data_format",valueToTest = "NHWC",argumentIndex = 1)),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val split = TensorflowMappingProcess(
+        opName = "split",
+        inputFrameworkOpName = "Split",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("a" to "split_dim","b" to "value"))),
+        attributeMappingRules = listOf(valueMapping(mapOf("numSplit" to "num_split"))
+                , ndarrayToIntList(mutableMapOf("dimensions" to "split_dim"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+
+val splitV = TensorflowMappingProcess(
+        opName = "split_v",
+        inputFrameworkOpName = "SplitV",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf(
+                "input" to "value",
+                "sizes" to "size_splits",
+                "_a"  to "split_dim"))),
+        attributeMappingRules = listOf(
+                valueMapping(mutableMapOf("numSplit" to "num_split")),
+                convertNDArrayInputToNumericalAttr(mutableMapOf("dimensions" to "split_dim")),
+                ndarrayToIntList(mutableMapOf("dimensions" to "split_dim"))),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val squeeze = TensorflowMappingProcess(
+        opName = "squeeze",
+        inputFrameworkOpName = "Squeeze",
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(
+                listNumberToListNumber(outputAttributeValue = "_a",inputAttributeValue = "squeeze_dims")),
+        opMappingRegistry = tensorflowOpRegistry
+)
+
+val stridedSlice = TensorflowMappingProcess(
+        opName = "strided_slice",
+        inputFrameworkOpName = "StridedSlice",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input",
+                "v_begin" to "begin",
+                "v_end" to "end",
+                "v_stride" to "strides"))),
+        attributeMappingRules = listOf(
+                valueMapping(mutableMapOf("begin_mask" to "begin_mask","end_mask" to "end_mask",
+                        "ellipsis_mask" to "ellipsis_mask","new_axis_mask" to "new_axis_mask",
+                        "shrink_axis_mask" to "shrink_axis_mask","dtype" to "T")))
+)
+
+
+val svd = TensorflowMappingProcess(
+        opName = "svd",
+        inputFrameworkOpName = "Svd",
+        opMappingRegistry = tensorflowOpRegistry,
+        tensorMappingRules = listOf(mappingNDArrayInputs(mutableMapOf("input" to "input"))),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("computeUv" to "compute_uv","fullUV" to "full_matrices")),
+                invertBooleanNumber(mutableMapOf("calcUV" to "compute_uv","fullUV" to "full_matrices")),
+                intConstant(inputName = "switchNum",constantValue = 16,argumentIndex = 2)[0])
+)
+
+
+
+val tensorArrayConcat = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayConcat",
+        opName = "stack_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+val tensorArrayConcatV2 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayConcatV2",
+        opName = "stack_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tensorArrayConcatV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayConcatV3",
+        opName = "stack_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+val tensorArrayWriteV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayWriteV3",
+        opName = "tensorarraywritev3",
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tensorArrayGather = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayGather",
+        opName = "gather_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+val tensorArrayGatherV2 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayGatherV2",
+        opName = "gather_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+val tensorArrayGatherV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayGatherV3",
+        opName = "gather_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+//TODO: revisit this, not sure why the ops are off
+/*val tensorArrayPack = multipleNameMapping(inputFrameworkOpNames = listOf("TensorArrayPack", "TensorArrayPackV2", "TensorArrayPackV3"),
+        opName = "tensorarraypackv3",
+        tensorNames = mutableMapOf("indices" to "indices"))*/
+//TODO: revisit this, not sure why the ops are off
+
+val tensorArrayRead = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayRead",
+        opName = "read_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("importDataType" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+val tensorArrayReadV2 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayReadV2",
+        opName = "read_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("importDataType" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+val tensorArrayReadV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayReadV3",
+        opName = "read_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("importDataType" to "dtype"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+//
+// TODO: revisit this, not sure why the ops are off
+
+val tensorArrayScatter = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayScatter",
+        opName = "scatter_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+val tensorArrayScatterV2 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayScatterV2",
+        opName = "scatter_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tensorArrayScatterV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArrayScatterV3",
+        opName = "scatter_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+//TODO: revisit this, not sure why the ops are off
+
+val tensorArraySize = TensorflowMappingProcess(inputFrameworkOpName = "TensorArraySize",
+        opName = "size_list",
+        attributeMappingRules = listOf(),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tensorArraySizeV2 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArraySizeV2",
+        opName = "size_list",
+        attributeMappingRules = listOf(),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tensorArraySizeV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArraySizeV3",
+        opName = "size_list",
+        attributeMappingRules = listOf(),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+val tensorArraySplit = TensorflowMappingProcess(inputFrameworkOpName = "TensorArraySplit",
+        opName = "split_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+val tensorArraySplitV2 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArraySplitV2",
+        opName = "split_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tensorArraySplitV3 = TensorflowMappingProcess(inputFrameworkOpName = "TensorArraySplitV3",
+        opName = "split_list",
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T"))),
+        tensorMappingRules = listOf(passThroughNDArrayInputs()),
+        opMappingRegistry = tensorflowOpRegistry)
+
+
+
+val tile = mapTensorNamesWithOp(inputFrameworkOpName = "Tile",opName = "tile",
+        attributeMappingRules = listOf(intConstant(inputName = "dimensions",constantValue = 0 ,argumentIndex = 0)[0],
+                booleanConstant(inputName = "is_static_reps",constantValue = true,argumentIndex = 0)[0]),
+        tensorNames = mutableMapOf("input" to "input","reps_vector" to "multiples")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val topk = multipleNameMapping(inputFrameworkOpNames = listOf("TopK"),opName = "top_k",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("needSort" to "sorted","k" to "k"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val topkV2 = multipleNameMapping(inputFrameworkOpNames = listOf("TopKV2"),opName = "top_k",
+        tensorNames = mutableMapOf("input" to "input"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("needSort" to "sorted")),
+                convertNDArrayInputToNumericalAttr(mutableMapOf("k" to "k"))),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val transpose = mapTensorNamesWithOp(
+        inputFrameworkOpName = "Transpose",
+        opName = "transpose",
+        tensorNames = mutableMapOf("input" to "x","permuteDims" to "perm"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dtype" to "T")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+//note we don't allow unique with an axis argument
+val unique = multipleNameMapping(
+        inputFrameworkOpNames = listOf("Unique","UniqueV2"),
+        opName = "unique",
+        tensorNames = mutableMapOf("input" to "x")
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+
+/**
+ * NOTE: Ours only supports vectors, not 2d.
+ */
+val uniqueWithCounts = multipleNameMapping(
+        inputFrameworkOpNames = listOf("UniqueWithCounts","UniqueWithCountsV2"),
+        opName = "unique_with_counts",
+        tensorNames = mutableMapOf("input" to "x")
+        ,tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val unpack = multipleNameMapping(inputFrameworkOpNames = listOf("Unpack"),
+        opName = "unstack",
+        tensorNames = mutableMapOf("input" to "value"),
+        attributeMappingRules = listOf(valueMapping(mutableMapOf("dimensions" to "axis","num" to "num")))
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val unsortedSegmentMax = mapTensorNamesWithOp(inputFrameworkOpName = "UnsortedSegmentMax",
+        opName = "unsorted_segment_max",
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf("numSegments" to "num_segments"))),
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids","numSegments" to "num_segments")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val unsortedSegmentMin = mapTensorNamesWithOp(inputFrameworkOpName = "UnsortedSegmentMin",
+        opName = "unsorted_segment_min",
+        attributeMappingRules = listOf(convertNDArrayInputToNumericalAttr(mutableMapOf("numSegments" to "num_segments"))),
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids","numSegments" to "num_segments")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+val unsortedSegmentProd = mapTensorNamesWithOp(inputFrameworkOpName = "UnsortedSegmentProd",
+        opName = "unsorted_segment_prod",
+        attributeMappingRules = listOf(
+                convertNDArrayInputToNumericalAttr(mutableMapOf("numSegments" to "num_segments"))),
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids","numSegments" to "num_segments"),tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+val unsortedSegmentSum = mapTensorNamesWithOp(inputFrameworkOpName = "UnsortedSegmentSum",
+        opName = "unsorted_segment_sum",
+        attributeMappingRules = listOf(convertNDArrayInputToNumericalAttr(mutableMapOf("numSegments" to "num_segments"))),
+        tensorNames = mutableMapOf("input" to "data","idxSegments" to "segment_ids","numSegments" to "num_segments")
+        ,tensorflowOpRegistry = tensorflowOpRegistry)
+
+//TODO: Figure out if need to map
+val nextIteration = mapTensorNamesWithOp(inputFrameworkOpName = "NextIteration",opName = "next_iteration",
+        tensorNames = mutableMapOf("input" to "data"), tensorflowOpRegistry = tensorflowOpRegistry)
+
+val noOp = mapTensorNamesWithOp(inputFrameworkOpName = "NoOp",opName = "noop",tensorNames = mutableMapOf()
+        , tensorflowOpRegistry = tensorflowOpRegistry)
+
+val where = mapTensorNamesWithOp(inputFrameworkOpName = "Where",opName = "Where",
+        tensorNames = mutableMapOf("condition" to "input")
+        , tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val whileOp = mapTensorNamesWithOp(inputFrameworkOpName = "While",opName = "While",
+        tensorNames = mutableMapOf("condition" to "input"),
+        attributeMappingRules = listOf(booleanConstant(inputName = "isConstant",constantValue = false,argumentIndex = 0)[0])
+        , tensorflowOpRegistry = tensorflowOpRegistry
+)
+
+val zerosLike = mapTensorNamesWithOp(inputFrameworkOpName = "ZerosLike",opName = "zeroslike",
+        tensorNames = mutableMapOf("input" to "x"),
+        attributeMappingRules = listOf(
+                booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0)[0],
+                valueMapping(mutableMapOf("dataType" to "T"))
+        ),tensorflowOpRegistry = tensorflowOpRegistry)
+
+val zeta = mapTensorNamesWithOp(inputFrameworkOpName = "Zeta",opName = "zeta",
+        tensorNames = mutableMapOf("input" to "x","q" to "q"),
+        attributeMappingRules = booleanConstant(inputName = "inPlace",constantValue = false,argumentIndex = 0),
+        tensorflowOpRegistry = tensorflowOpRegistry)
+
+
+object TensorflowOpDeclarations {
+        init {
+                val tensorflowOps = OpDescriptorLoaderHolder.listForFramework("tensorflow")
+                val groupedOps = tensorflowOps.values.groupBy { input -> input.name }
+                val singleGroupedOps = HashMap()
+                groupedOps.forEach { name, node ->
+                        singleGroupedOps[name] = node[0]
+                }
+
+                OpRegistryHolder.registerOpList("tensorflow", singleGroupedOps)
+                tensorflowOps.values.forEach {
+                        tensorflowOpRegistry.registerInputFrameworkOpDef(it.name,it)
+                }
+
+                OpDescriptorLoaderHolder.nd4jOpDescriptor.opListList.forEach {
+                        tensorflowOpRegistry.registerNd4jOpDef(it.name,it)
+                }
+
+                reduceOps.forEach { tensorflowOpName, nd4jOpName ->
+                        defineSingularReduce(inputFrameworkOpName = tensorflowOpName,inputOpName = nd4jOpName,
+                                tensorflowOpRegistry = tensorflowOpRegistry)
+                }
+
+
+                singleTransformArgs.forEach {
+                        defineTensorflowSingleTransform(inputFrameworkOpName = it.key,inputOpName = it.value
+                                ,tensorflowOpRegistry = tensorflowOpRegistry)
+                }
+
+                elementWiseTransformOps.forEach {
+                        defineTensorflowPairwiseTransforms(opName = it.value,inputFrameworkOpName = it.key,
+                                tensorflowOpRegistry)
+                }
+
+                OpRegistryHolder.registerOpMappingRegistry("tensorflow", tensorflowOpRegistry)
+
+        }
+}
+
+
+
+val declarations = TensorflowOpDeclarations
+
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/importer/TensorflowFrameworkImporter.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/importer/TensorflowFrameworkImporter.kt
new file mode 100644
index 000000000..83528d5b0
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/importer/TensorflowFrameworkImporter.kt
@@ -0,0 +1,66 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.importer
+
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.imports.graphmapper.tf.TFGraphMapper
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.FrameworkImporter
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.tensorflow.TensorflowImportGraph
+import org.nd4j.samediff.frameworkimport.tensorflow.convertNDArrayToTensorflowTensor
+import org.nd4j.samediff.frameworkimport.tensorflow.definitions.gruCell
+import org.nd4j.samediff.frameworkimport.tensorflow.definitions.tensorflowOpRegistry
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRGraph
+import org.nd4j.samediff.frameworkimport.tensorflow.opdefs.TensorflowOpDescriptorLoader
+import org.tensorflow.framework.*
+import java.io.File
+import java.nio.file.Files
+
+class TensorflowFrameworkImporter: FrameworkImporter {
+
+    val tfImporter = TensorflowImportGraph()
+    val loader = OpDescriptorLoaderHolder.listForFramework("tensorflow")
+    val tfOpDescriptorLoader = TensorflowOpDescriptorLoader()
+    val opDefListBuilder = OpList.newBuilder()
+    val opDefList = opDefListBuilder.build()
+    val registry =
+        tfOpDescriptorLoader.createOpMappingRegistry()
+
+    init {
+        loader.values.forEach { opDef -> opDefListBuilder.addOp(opDef) }
+
+    }
+
+    fun importFromGraph(graphDef: GraphDef, dynamicVariables: Map): SameDiff {
+        val dynamicVariablesConverted = HashMap()
+        dynamicVariables.forEach { name, array ->
+            dynamicVariablesConverted[name] = convertNDArrayToTensorflowTensor(array)
+        }
+        val irGraph = TensorflowIRGraph(graphDef, opDefList, registry)
+        return tfImporter.importGraph(irGraph, null, null, dynamicVariablesConverted, tensorflowOpRegistry)
+
+    }
+
+    override fun runImport(fileName: String, dynamicVariables: Map): SameDiff {
+        val loadGraph = GraphDef.parseFrom(Files.readAllBytes(File(fileName).toPath()))
+        return importFromGraph(graphDef = loadGraph, dynamicVariables = dynamicVariables)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIR.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIR.kt
new file mode 100644
index 000000000..e0d38c40a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIR.kt
@@ -0,0 +1,224 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.apache.commons.io.IOUtils
+import org.nd4j.common.io.ClassPathResource
+import org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.shade.protobuf.TextFormat
+import org.tensorflow.framework.*
+import org.tensorflow.framework.OpDef.AttrDef
+import java.nio.charset.Charset
+
+fun loadTensorflowOps(): OpList {
+    val string = IOUtils.toString(ClassPathResource("ops.proto").inputStream, Charset.defaultCharset())
+    val tfListBuilder = OpList.newBuilder()
+    TextFormat.merge(string, tfListBuilder)
+    return tfListBuilder.build()
+}
+
+
+
+fun attrDefaultValue(): IRAttribute {
+    return TensorflowIRAttr(AttrDef.getDefaultInstance(), AttrValue.getDefaultInstance())
+}
+
+
+fun convertToDataType(dataType: org.nd4j.linalg.api.buffer.DataType): DataType {
+    return when (dataType) {
+        org.nd4j.linalg.api.buffer.DataType.UINT16 -> DataType.DT_UINT16
+        org.nd4j.linalg.api.buffer.DataType.UINT32 -> DataType.DT_UINT32
+        org.nd4j.linalg.api.buffer.DataType.UINT64 -> DataType.DT_UINT64
+        org.nd4j.linalg.api.buffer.DataType.BOOL -> DataType.DT_BOOL
+        org.nd4j.linalg.api.buffer.DataType.BFLOAT16 -> DataType.DT_BFLOAT16
+        org.nd4j.linalg.api.buffer.DataType.FLOAT -> DataType.DT_FLOAT
+        org.nd4j.linalg.api.buffer.DataType.INT -> DataType.DT_INT32
+        org.nd4j.linalg.api.buffer.DataType.LONG -> DataType.DT_INT64
+        org.nd4j.linalg.api.buffer.DataType.BYTE -> DataType.DT_INT8
+        org.nd4j.linalg.api.buffer.DataType.SHORT -> DataType.DT_INT16
+        org.nd4j.linalg.api.buffer.DataType.DOUBLE -> DataType.DT_DOUBLE
+        org.nd4j.linalg.api.buffer.DataType.UBYTE -> DataType.DT_UINT8
+        org.nd4j.linalg.api.buffer.DataType.HALF -> DataType.DT_HALF
+        org.nd4j.linalg.api.buffer.DataType.UTF8 -> DataType.DT_STRING
+        else -> throw UnsupportedOperationException("Unknown TF data type: [" + dataType.name + "]")
+    }
+}
+
+
+fun tensorflowAttributeValueTypeFor(attributeName: String, opDef: OpDef): AttributeValueType {
+    val names = opDef.attrList.map { attrDef -> attrDef.name }
+    if(!names.contains(attributeName) && !isTensorflowTensorName(attributeName,opDef)) {
+        throw java.lang.IllegalArgumentException("Tensorflow op ${opDef.name} does not have attribute name $attributeName")
+    } else if(isTensorflowTensorName(attributeName,opDef)) {
+        //note we allows tensors here since sometimes input tensors in tensorflow become attributes in nd4j
+        return AttributeValueType.TENSOR
+    }
+    val attrDef = opDef.attrList.first { attrDef -> attrDef.name == attributeName }
+    return TensorflowIRAttr(attrDef, AttrValue.getDefaultInstance()).attributeValueType()
+}
+
+
+
+fun isTensorflowTensorName(name: String, opDef: OpDef): Boolean {
+    return opDef.inputArgList.map {inputDef -> inputDef.name }.contains(name)
+}
+
+
+fun isTensorflowAttributeName(name: String, opDef: OpDef): Boolean {
+    return opDef.attrList.map { attrDef -> attrDef.name }.contains(name)
+}
+
+/**
+ * fun  initAttributes(
+df: DifferentialFunction,
+applied: Pair, OpNamespace.OpDescriptor>,
+mappingContext: MappingContext,
+sd: SameDiff
+)
+ */
+//fun initAttributesTensorflow()
+
+
+
+
+
+
+
+/**
+ * Get the shape from a TensorShapeProto
+ *
+ * @param tensorShapeProto Shape
+ * @return Shape as long[]
+ */
+private fun shapeFromShapeProto(tensorShapeProto: TensorShapeProto): LongArray? {
+    val shape = LongArray(tensorShapeProto.dimList.size)
+    for (i in shape.indices) {
+        shape[i] = tensorShapeProto.getDim(i).size
+    }
+    return shape
+}
+
+/**
+ * Convert from TF proto datatype to ND4J datatype
+ *
+ * @param tfType TF datatype
+ * @return ND4J datatype
+ */
+fun convertType(tfType: DataType?): org.nd4j.linalg.api.buffer.DataType {
+    return when (tfType) {
+        DataType.DT_DOUBLE -> org.nd4j.linalg.api.buffer.DataType.DOUBLE
+        DataType.DT_FLOAT -> org.nd4j.linalg.api.buffer.DataType.FLOAT
+        DataType.DT_HALF -> org.nd4j.linalg.api.buffer.DataType.HALF
+        DataType.DT_BFLOAT16 -> org.nd4j.linalg.api.buffer.DataType.BFLOAT16
+        DataType.DT_INT8 -> org.nd4j.linalg.api.buffer.DataType.BYTE
+        DataType.DT_INT16 -> org.nd4j.linalg.api.buffer.DataType.SHORT
+        DataType.DT_INT32 -> org.nd4j.linalg.api.buffer.DataType.INT
+        DataType.DT_INT64 -> org.nd4j.linalg.api.buffer.DataType.LONG
+        DataType.DT_UINT8 -> org.nd4j.linalg.api.buffer.DataType.UBYTE
+        DataType.DT_STRING -> org.nd4j.linalg.api.buffer.DataType.UTF8
+        DataType.DT_BOOL -> org.nd4j.linalg.api.buffer.DataType.BOOL
+        else -> org.nd4j.linalg.api.buffer.DataType.UNKNOWN
+    }
+}
+
+/**
+ * @return True if the specified name represents a control dependency (starts with "^")
+ */
+fun isControlDep(name: String): Boolean {
+    return name.startsWith("^")
+}
+
+/**
+ * @return The specified name without the leading "^" character (if any) that appears for control dependencies
+ */
+fun stripControl(name: String): String {
+    return if (name.startsWith("^")) {
+        name.substring(1)
+    } else name
+}
+
+/**
+ * Remove the ":1" etc suffix for a variable name to get the op name
+ *
+ * @param varName Variable name
+ * @return Variable name without any number suffix
+ */
+fun stripVarSuffix(varName: String): String {
+    if (varName.matches(regex = Regex(".*:\\d+"))) {
+        val idx = varName.lastIndexOf(':')
+        return varName.substring(0, idx)
+    }
+    return varName
+}
+
+/**
+ * Convert the tensor to an NDArray (if possible and if array is available)
+ *
+ * @param node Node to get NDArray from
+ * @return NDArray
+ */
+fun getNDArrayFromTensor(node: NodeDef): INDArray? {
+    //placeholder of some kind
+    if (!node.attrMap.containsKey("value")) {
+        return null
+    }
+    val tfTensor = node.getAttrOrThrow("value").tensor
+    return mapTensorProto(tfTensor)
+}
+
+/**
+ * Convert a TensorProto to an INDArray
+ *
+ * @param tfTensor Tensor proto
+ * @return INDArray
+ */
+fun mapTensorProto(tfTensor: TensorProto): INDArray {
+    val m = TFTensorMappers.newMapper(tfTensor) ?: throw RuntimeException("Not implemented datatype: " + tfTensor.dtype)
+    return m.toNDArray()
+}
+
+fun attributeValueTypeForTensorflowAttribute(attributeDef: AttrDef): AttributeValueType {
+    when(attributeDef.type) {
+        "list(bool)" -> return AttributeValueType.LIST_BOOL
+        "bool" -> return AttributeValueType.BOOL
+        "string" -> return AttributeValueType.STRING
+        "list(string)" -> return AttributeValueType.LIST_STRING
+        "int" -> return AttributeValueType.INT
+        "list(int)" -> return AttributeValueType.LIST_INT
+        "float" -> return AttributeValueType.FLOAT
+        "list(float)" -> return AttributeValueType.LIST_FLOAT
+        "tensor" -> return AttributeValueType.TENSOR
+        "list(tensor)" -> return AttributeValueType.LIST_TENSOR
+        "type" -> return AttributeValueType.DATA_TYPE
+    }
+
+    return AttributeValueType.INVALID
+}
+
+
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRArgDef.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRArgDef.kt
new file mode 100644
index 000000000..512eec6f2
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRArgDef.kt
@@ -0,0 +1,50 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.samediff.frameworkimport.ir.IRArgDef
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.tensorflow.framework.DataType
+import org.tensorflow.framework.OpDef
+
+class TensorflowIRArgDef(input: OpDef.ArgDef): IRArgDef {
+    private val argDefValue = input
+
+    override fun dataType(): IRDataType {
+        return TensorflowIRArgDef(argDefValue).dataType()
+    }
+
+    override fun name(): String {
+        return argDefValue.name
+    }
+
+    override fun description(): String {
+        return argDefValue.description
+    }
+
+    override fun internalValue(): OpDef.ArgDef {
+        return argDefValue
+    }
+
+    override fun indexOf(): Integer {
+        TODO("Not yet implemented")
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRAttr.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRAttr.kt
new file mode 100644
index 000000000..db32c6f24
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRAttr.kt
@@ -0,0 +1,116 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.tensorflow.framework.AttrValue
+import org.tensorflow.framework.DataType
+import org.tensorflow.framework.OpDef
+import org.tensorflow.framework.TensorProto
+
+class TensorflowIRAttr(inputAttributeDef: OpDef.AttrDef, inputAttributeValue: AttrValue):
+    IRAttribute {
+
+    private val attributeDef = inputAttributeDef
+    private val attributeValue = inputAttributeValue
+
+    override fun name(): String {
+        return attributeDef.name
+    }
+
+    override fun floatValue(): Float {
+        return attributeValue.f
+    }
+
+    override fun listFloatValue(): List {
+        return attributeValue.list.fList
+    }
+
+
+    override fun intValue(): Long {
+        return attributeValue.i
+    }
+
+    override fun listIntValue(): List {
+        return attributeValue.list.iList
+    }
+
+    override fun boolValue(): Boolean {
+        return attributeValue.b
+    }
+
+    override fun listBoolValue(): List {
+        return attributeValue.list.bList
+    }
+
+    override fun attributeValueType(): AttributeValueType {
+        when(attributeDef.type) {
+            "list(bool)" -> return AttributeValueType.LIST_BOOL
+            "bool" -> return AttributeValueType.BOOL
+            "string" -> return AttributeValueType.STRING
+            "list(string)" -> return AttributeValueType.LIST_STRING
+            "int" -> return AttributeValueType.INT
+            "list(int)" -> return AttributeValueType.LIST_INT
+            "float" -> return AttributeValueType.FLOAT
+            "list(float)" -> return AttributeValueType.LIST_FLOAT
+            "tensor" -> return AttributeValueType.TENSOR
+            "list(tensor)" -> return AttributeValueType.LIST_TENSOR
+            "type" -> return AttributeValueType.DATA_TYPE
+        }
+
+        return AttributeValueType.INVALID
+    }
+
+
+
+    override fun internalAttributeDef(): OpDef.AttrDef {
+        return attributeDef
+    }
+
+    override fun internalAttributeValue(): AttrValue {
+        return attributeValue
+    }
+
+    override fun listTensorValue(): List> {
+        return attributeValue.list.tensorList.map { input ->
+            TensorflowIRTensor(input)
+        }
+    }
+
+    override fun tensorValue(): IRTensor {
+        return TensorflowIRTensor(attributeValue.tensor)
+    }
+
+    override fun stringValue(): String {
+        return attributeValue.s.toStringUtf8()
+    }
+
+    override fun listStringValue(): List {
+        return attributeValue.list.sList.map { it.toStringUtf8() }
+    }
+
+    override fun dataTataTypeValue(): IRDataType {
+        return TensorflowIRDataType(attributeValue.type)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRDataType.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRDataType.kt
new file mode 100644
index 000000000..46614d69a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRDataType.kt
@@ -0,0 +1,111 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRDataTypeValue
+import org.tensorflow.framework.DataType
+
+class TensorflowIRDataType(inputDataType: DataType): IRDataType {
+    val dataType = inputDataType
+
+    override fun convertToDataType(input: DataType): IRDataTypeValue {
+        when(input) {
+            DataType.DT_BOOL, DataType.DT_BOOL_REF -> return IRDataTypeValue.DT_BOOL
+            DataType.DT_BFLOAT16, DataType.DT_BFLOAT16_REF -> return IRDataTypeValue.DT_BFLOAT16
+            DataType.DT_COMPLEX128, DataType.DT_COMPLEX128_REF -> return IRDataTypeValue.DT_COMPLEX128
+            DataType.DT_COMPLEX64, DataType.DT_COMPLEX64_REF -> return IRDataTypeValue.DT_COMPLEX64
+            DataType.DT_DOUBLE, DataType.DT_DOUBLE_REF -> return IRDataTypeValue.DT_DOUBLE
+            DataType.DT_FLOAT, DataType.DT_FLOAT_REF -> return IRDataTypeValue.DT_FLOAT
+            DataType.DT_HALF, DataType.DT_HALF_REF -> return IRDataTypeValue.DT_HALF
+            DataType.DT_INT8, DataType.DT_INT8_REF -> return IRDataTypeValue.DT_INT8
+            DataType.DT_UINT8, DataType.DT_UINT8_REF -> return IRDataTypeValue.DT_UINT8
+            DataType.DT_UINT16, DataType.DT_UINT16_REF -> return IRDataTypeValue.DT_UINT16
+            DataType.DT_UINT32, DataType.DT_UINT32_REF -> return IRDataTypeValue.DT_UINT32
+            DataType.DT_INT16, DataType.DT_INT16_REF -> return IRDataTypeValue.DT_INT16
+            DataType.DT_INT32, DataType.DT_INT32_REF -> return IRDataTypeValue.DT_INT32
+            DataType.DT_INT64, DataType.DT_INT64_REF -> return IRDataTypeValue.DT_INT64
+            DataType.DT_QINT8, DataType.DT_QINT8_REF -> return IRDataTypeValue.DT_QINT8
+            DataType.DT_QINT16, DataType.DT_QINT16_REF -> return IRDataTypeValue.DT_QINT16
+            DataType.DT_QINT32, DataType.DT_QINT32_REF -> return IRDataTypeValue.DT_QINT32
+            DataType.DT_STRING, DataType.DT_STRING_REF -> return IRDataTypeValue.DT_STRING
+            DataType.DT_UINT16, DataType.DT_UINT16_REF -> return IRDataTypeValue.DT_UINT16
+            DataType.DT_UINT32, DataType.DT_UINT32_REF -> return IRDataTypeValue.DT_UINT32
+            DataType.DT_UINT64, DataType.DT_UINT64_REF -> return IRDataTypeValue.DT_UINT64
+
+        }
+
+        return IRDataTypeValue.DT_INVALID
+    }
+
+
+
+    override fun dataType(): IRDataTypeValue {
+        return convertToDataType(this.dataType)
+    }
+
+    override fun internalValue(): DataType {
+        return this.dataType
+    }
+
+    override fun nd4jDataType(): org.nd4j.linalg.api.buffer.DataType {
+        when(this.dataType) {
+            DataType.DT_BOOL, DataType.DT_BOOL_REF -> return org.nd4j.linalg.api.buffer.DataType.BOOL
+            DataType.DT_FLOAT, DataType.DT_FLOAT_REF -> return org.nd4j.linalg.api.buffer.DataType.FLOAT
+            DataType.DT_STRING, DataType.DT_STRING_REF -> return org.nd4j.linalg.api.buffer.DataType.UTF8
+            DataType.DT_BFLOAT16, DataType.DT_BFLOAT16_REF -> return org.nd4j.linalg.api.buffer.DataType.BFLOAT16
+            DataType.DT_INT64, DataType.DT_INT64_REF -> return org.nd4j.linalg.api.buffer.DataType.INT64
+            DataType.DT_HALF, DataType.DT_HALF_REF -> return org.nd4j.linalg.api.buffer.DataType.FLOAT16
+            DataType.DT_INT8, DataType.DT_INT8_REF -> return org.nd4j.linalg.api.buffer.DataType.INT8
+            DataType.DT_INT16, DataType.DT_INT16_REF -> return org.nd4j.linalg.api.buffer.DataType.INT16
+            DataType.DT_INT32, DataType.DT_INT32_REF -> return org.nd4j.linalg.api.buffer.DataType.INT32
+            DataType.DT_DOUBLE, DataType.DT_DOUBLE_REF -> return org.nd4j.linalg.api.buffer.DataType.DOUBLE
+            DataType.DT_UINT8, DataType.DT_UINT8_REF -> return org.nd4j.linalg.api.buffer.DataType.UINT8
+            DataType.DT_UINT16, DataType.DT_UINT16_REF -> return org.nd4j.linalg.api.buffer.DataType.UINT16
+            DataType.DT_UINT32, DataType.DT_UINT32_REF -> return org.nd4j.linalg.api.buffer.DataType.UINT32
+            DataType.DT_UINT64, DataType.DT_UINT64_REF -> return org.nd4j.linalg.api.buffer.DataType.UINT64
+        }
+
+        return org.nd4j.linalg.api.buffer.DataType.UNKNOWN
+    }
+
+    override fun nameSpaceDataType(): TensorNamespace.DataType {
+        when(this.dataType) {
+            DataType.DT_BOOL, DataType.DT_BOOL_REF -> return TensorNamespace.DataType.BOOL
+            DataType.DT_FLOAT, DataType.DT_FLOAT_REF -> return TensorNamespace.DataType.FLOAT
+            DataType.DT_STRING, DataType.DT_STRING_REF -> return TensorNamespace.DataType.STRING
+            DataType.DT_BFLOAT16, DataType.DT_BFLOAT16_REF -> return TensorNamespace.DataType.BFLOAT16
+            DataType.DT_INT64, DataType.DT_INT64_REF -> return TensorNamespace.DataType.INT64
+            DataType.DT_HALF, DataType.DT_HALF_REF -> return TensorNamespace.DataType.FLOAT16
+            DataType.DT_INT16, DataType.DT_INT16_REF -> return TensorNamespace.DataType.INT16
+            DataType.DT_INT32, DataType.DT_INT32_REF -> return TensorNamespace.DataType.INT32
+            DataType.DT_INT8,DataType.DT_INT8_REF -> return TensorNamespace.DataType.INT8
+            DataType.DT_UINT8,DataType.DT_UINT8_REF -> return TensorNamespace.DataType.UINT8
+            DataType.DT_DOUBLE, DataType.DT_DOUBLE_REF -> return TensorNamespace.DataType.DOUBLE
+            DataType.DT_UINT16, DataType.DT_UINT16_REF -> return TensorNamespace.DataType.UINT16
+            DataType.DT_UINT32, DataType.DT_UINT32_REF -> return TensorNamespace.DataType.UINT32
+            DataType.DT_UINT64, DataType.DT_UINT64_REF -> return TensorNamespace.DataType.UINT64
+        }
+
+        return TensorNamespace.DataType.UNDEFINED
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRGraph.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRGraph.kt
new file mode 100644
index 000000000..b39e85d26
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRGraph.kt
@@ -0,0 +1,228 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.common.primitives.Counter
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.context.MappingContext
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.importInfoForEachNodeInGraph
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.tensorflow.*
+import org.nd4j.samediff.frameworkimport.tensorflow.context.TensorflowMappingContext
+import org.tensorflow.framework.*
+
+class TensorflowIRGraph(graphDef: GraphDef, opDef: OpList
+                        ,tensorflowOpMappingRegistry: OpMappingRegistry): IRGraph<
+        GraphDef,
+        NodeDef,
+        OpDef,
+        TensorProto,
+        OpDef.AttrDef,
+        AttrValue,
+        DataType> {
+
+    var graphDef = graphDef
+    val opDef = opDef
+    val tensorflowOpRegistry = tensorflowOpMappingRegistry
+    var inputs = ArrayList()
+    var outputs = ArrayList()
+
+
+    init {
+        val graphInputTo = Counter()
+        graphDef.nodeList.forEach {
+            it.inputList.forEach { inputName -> graphInputTo.incrementCount(inputName,1.0) }
+            //all placeholders are considered inputs
+            if(it.op.contains("Placeholder"))
+                inputs.add(it.name)
+        }
+
+        graphDef.nodeList.forEach {
+            //node not input in to anything
+            if(graphInputTo.getCount(it.name) < 1) {
+                outputs.add(it.name)
+            }
+        }
+    }
+
+    override fun nodeByName(input: String): NodeDef {
+        return graphDef.nodeByName(input)
+    }
+
+
+    override fun nodeList(): List> {
+        return graphDef.nodeList.map {
+                inputNode ->
+            TensorflowIRNode(inputNode, OpDescriptorLoaderHolder.listForFramework("tensorflow").values.first { input ->
+                input.name ==  inputNode.op
+            },tensorflowOpRegistry)
+        }
+    }
+
+    override fun internalValue(): GraphDef {
+        return graphDef
+    }
+
+
+
+    override fun createMappingContext(
+        opDef: OpDef,
+        node: NodeDef,
+        dynamicVariables: MutableMap
+    ): MappingContext {
+        return TensorflowMappingContext(opDef = opDef, graph = this, node = node, dynamicVariables = dynamicVariables)
+    }
+
+    override fun frameworkName(): String {
+        return "tensorflow"
+    }
+
+    override fun nd4jNameForInternalOpName(name: String): String {
+        return tensorflowOpRegistry.lookupOpMappingProcess(name).opName()
+    }
+
+    override fun isConstantOpName(name: String): Boolean {
+        return name == "Const" || name == "Placeholder"
+    }
+
+    override fun isConstant(opName: String): Boolean {
+        return opName == "Const"
+    }
+
+    override fun isPlaceHolder(opName: String): Boolean {
+        return opName == "Placeholder" || opName == "PlaceholderWithDefault"
+    }
+
+    override fun shapeOfInput(varName: String): LongArray? {
+        val attrMap = nodeByName(varName).attrMap
+        val shapeAvailable = attrMap.containsKey("shape")
+        var shape: LongArray?
+        shape = if (shapeAvailable) {
+            attrMap["shape"]!!.list.iList.toLongArray()
+
+        } else {
+            //Some placeholders don't have any shape restrictions - i.e., accept anything...
+            null
+        }
+
+        return shape
+    }
+
+    override fun dataTypeForVariable(varName: String): IRDataType {
+        val node = nodeByName(varName)
+        val attrMap = node.attrMap
+        if(!attrMap.containsKey("dtype")) {
+            val retSet =  attrMap.values.filter { attrValue -> attrValue.type != DataType.DT_INVALID }
+            if(retSet.isEmpty()) {
+                return TensorflowIRDataType(DataType.DT_INVALID)
+            } else {
+                return TensorflowIRDataType(attrMap.values.filter { attrValue -> attrValue.type != DataType.DT_INVALID }
+                    .first().type)
+            }
+        } else if(attrMap.containsKey("dtype")) {
+            return TensorflowIRDataType(attrMap["dtype"]!!.type)
+        }
+
+        return TensorflowIRDataType(DataType.DT_INVALID)
+    }
+
+    override fun importInfoForEachNode(dynamicVariables: MutableMap): Map, OpNamespace.OpDescriptor>> {
+        return importInfoForEachNodeInGraph(graph = this,dynamicVariables = dynamicVariables)
+    }
+
+    override fun nodeIsPlaceHolder(nodeName: String): Boolean {
+        return isPlaceHolder(nodeByName(nodeName).op)
+    }
+
+    override fun opMappingRegistry(): OpMappingRegistry {
+        return tensorflowOpRegistry
+    }
+
+    override fun addConstantNode(nodeName: String, value: INDArray) {
+        val graphBuilder = graphDef.toBuilder()
+        val convertedTensor = convertNDArrayToTensorflowTensor(value)
+        val constant = NodeDef {
+            name = nodeName
+            op = "Const"
+            Attribute("value", org.nd4j.samediff.frameworkimport.tensorflow.AttrValue {
+                tensor = convertedTensor
+            })
+        }
+
+        graphBuilder.addNode(constant)
+        this.graphDef = graphBuilder.build()
+    }
+
+    override fun updateNode(node: IRNode) {
+        val nodeByName = nodeByName(node.nodeName())
+        val internalGraphDefBuilder = graphDef.toBuilder()
+        val indexOfNode = internalGraphDefBuilder.nodeList.indexOf(nodeByName)
+        internalGraphDefBuilder.setNode(indexOfNode,node.internalValue())
+        this.graphDef = internalGraphDefBuilder.build()
+    }
+
+    override fun graphOutputs(): List {
+        return outputs
+    }
+
+    override fun outputAt(index: Int): String {
+        return outputs[index]
+    }
+
+    override fun graphInputs(): List {
+        return inputs
+    }
+
+    override fun setOutputs(outputs: List) {
+        this.outputs = outputs as ArrayList
+    }
+
+    override fun inputAt(index: Int): String {
+        return inputs[index]
+    }
+
+    override fun setInputs(inputs: List) {
+        this.inputs = inputs as ArrayList
+    }
+
+    override fun isVariable(nodeName: String): Boolean {
+        return isVariableOpName(nodeByName(nodeName).op)
+    }
+
+    override fun isVariableOpName(name: String): Boolean {
+      return name == "Variable" || name == "VariableV2"
+    }
+
+    override fun getConstantArrayForName(name: String): INDArray {
+        val node = nodeByName(name)
+        if(!node.op.contains("Const")) {
+            throw IllegalArgumentException("Illegal op found ${node.op} for name $name")
+        }
+
+        return TensorflowIRTensor(node.getAttrOrThrow("value").tensor).toNd4jNDArray()
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRGraphRunner.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRGraphRunner.kt
new file mode 100644
index 000000000..99535800b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRGraphRunner.kt
@@ -0,0 +1,50 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.samediff.frameworkimport.ir.IRGraph
+import org.nd4j.samediff.frameworkimport.runner.IRGraphRunner
+import org.nd4j.tensorflow.conversion.graphrunner.GraphRunner
+import org.tensorflow.framework.*
+
+class TensorflowIRGraphRunner(irGraph: TensorflowIRGraph, inputNames: List, outputNames: List):
+    IRGraphRunner {
+
+    val irGraph = irGraph
+    val graphRunner: GraphRunner
+    init {
+        graphRunner = GraphRunner.builder()
+            .graphBytes(irGraph.graphDef.toByteArray())
+            .inputNames(inputNames)
+            .outputNames(outputNames)
+            .build()
+    }
+
+
+    override fun graph(): IRGraph {
+        return irGraph
+    }
+
+    override fun run(inputs: Map): Map {
+        return graphRunner.run(inputs)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRNode.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRNode.kt
new file mode 100644
index 000000000..c863b4e59
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRNode.kt
@@ -0,0 +1,213 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IRNode
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.tensorflow.AttrValue
+import org.nd4j.samediff.frameworkimport.tensorflow.LongVal
+import org.tensorflow.framework.*
+
+class TensorflowIRNode(inputNode: NodeDef, inputOpDef: OpDef,tensorflowOpMappingRegistry: OpMappingRegistry):
+    IRNode {
+
+    private var nodeDef = inputNode
+    private val opDef = inputOpDef
+    private val attrDefsMap = attrDefsByName(inputOpDef.attrList)
+    private val attrMap: Map> = initAttrMapFromNode(inputNode)
+    private val opDescriptor: OpNamespace.OpDescriptor
+    private val tensorflowOpRegistry = tensorflowOpMappingRegistry
+    private val mappingProcess: MappingProcess = tensorflowOpRegistry.lookupOpMappingProcess(inputNode.op)
+    //private val inputs: List
+    //private val outputs: List
+
+    init {
+        opDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        // inputs = opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+        // outputs = opDescriptor.argDescriptorList.filter { argDescriptor -> argDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.OUTPUT_TENSOR }
+
+    }
+
+    private fun attrDefsByName(input: List): Map {
+        val ret = HashMap()
+        input.forEach {
+            ret[it.name] = it
+        }
+        return ret
+    }
+
+    private fun initAttrMapFromNode(input: NodeDef): Map> {
+        val ret = HashMap>()
+        input.attrMap.forEach { (key, value) ->
+            ret[key] = TensorflowIRAttr(attrDefsMap.getOrDefault(key, OpDef.AttrDef.getDefaultInstance()), value)
+        }
+
+        return ret
+    }
+
+    override fun opName(): String {
+        return nodeDef.op
+    }
+
+    override fun nodeName(): String {
+        return nodeDef.name
+    }
+
+    override fun inputAt(index: Int): String {
+        if(mappingProcess.indexOverrides().containsKey(index))
+            return nodeDef.getInput(mappingProcess.indexOverrides()[index]!!)
+        return nodeDef.getInput(index)
+    }
+
+    override fun outputAt(index: Int): String {
+        return opDef.outputArgList[index].name
+    }
+
+
+
+    override fun hasAttribute(inputName: String): Boolean {
+        return nodeDef.containsAttr(inputName)
+    }
+
+    override fun attributeMap(): Map> {
+        return attrMap
+    }
+
+    override fun createInputsFrom(inputData: List): List> {
+        return inputData.map { TensorflowIRTensor(it) }
+    }
+
+    override fun createOutputsFrom(inputValues: List): List> {
+        return inputValues.map { TensorflowIRTensor(it) }
+    }
+
+    override fun getAttribute(inputName: String): IRAttribute {
+        return attrMap.getOrDefault(inputName, attrDefaultValue())
+    }
+
+    override fun internalValue(): NodeDef {
+        return nodeDef
+    }
+
+    override fun numInputs(): Int {
+        return nodeDef.inputCount
+    }
+
+    override fun numOutputs(): Int {
+        return opDef.outputArgCount
+    }
+
+    override fun inputs(): List {
+        return nodeDef.inputList
+    }
+
+    override fun outputs(): List {
+        return opDef.outputArgList.map { input -> input.name }
+    }
+
+    /**
+     * Get the list of tensors given an OpDef name (note: this is no tthe name of the input, but instead the op name, we use this to look up
+     * the number attribute value and thus the number of inputs for a particular definition name.)
+     * Tensorflow also allows multiple sets of lists of tensors as inputs, so we need to make sure to disambiguate which list of inputs we are looking up.
+     */
+    override fun numInputsForListOfTensors(name: String): Int {
+        return nodeDef.getAttrOrThrow(opDef.inputArgList.first { input -> input.name == name }.numberAttr).i.toInt()
+    }
+
+    override fun inputNamesForListOfInputValues(inputListName: String): List {
+        val inputArgNames = opDef.inputArgList.map { argDef -> argDef.name }
+        val indexOfDef = inputArgNames.indexOf(inputListName)
+        if(indexOfDef < 0)
+            return emptyList()
+        var totalAmount: Long = 0
+        for(i in 0 .. indexOfDef) {
+            if(opDef.getInputArg(i).numberAttr.isNotEmpty()) {
+                val numToAdd = nodeDef.getAttrOrDefault(opDef.getInputArg(i).numberAttr, AttrValue {
+                    LongVal(1)
+                }).i
+                totalAmount += numToAdd
+            }
+            else
+                totalAmount++
+        }
+        //note: this is inclusive
+        return nodeDef.inputList.subList(indexOfDef,totalAmount.toInt())
+    }
+
+    override fun computeAdjustedOffsetForInput(
+        nd4jName: String,
+        inputFrameworkName: String,
+        tensorInputMappings: Map
+    ): Int {
+        val baseIndex = lookupIndexForArgDescriptor(
+            argDescriptorName = nd4jName,
+            opDescriptorName = this.opDescriptor.name,
+            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+        )
+
+        val inputs = opDescriptor.argDescriptorList.filter { input -> input.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+        var totalAmount: Long = 0
+        for(i in 0 until baseIndex) {
+            val nd4jNameAtIndex = inputs.first {descriptor -> descriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR && descriptor.argIndex == i}.name
+            if(!tensorInputMappings.containsKey(nd4jNameAtIndex)) {
+                throw IllegalArgumentException("Tensor input mapping with key $nd4jNameAtIndex not found! Keys were ${tensorInputMappings.keys}")
+            }
+            val inputFrameworkName = tensorInputMappings[nd4jNameAtIndex]!!
+            val totalNames = inputNamesForListOfInputValues(inputFrameworkName).size
+            totalAmount += totalNames
+        }
+
+        if(totalAmount < 1)
+            return baseIndex
+        return (baseIndex + totalAmount.toInt()) - 1
+    }
+
+    override fun nd4jInputs(tensorMappings: Map): List {
+        val ret = ArrayList()
+        val indicesToNames = HashMap>()
+        tensorMappings.forEach { (nd4jName,inputFrameworkName) ->
+            val idx = computeAdjustedOffsetForInput(nd4jName,inputFrameworkName,tensorMappings)
+            val inputNamesForCurrInput = inputNamesForListOfInputValues(inputFrameworkName)
+            indicesToNames[idx] = inputNamesForCurrInput
+        }
+
+        indicesToNames.toSortedMap().forEach { idx, names ->
+            ret.addAll(names.filter {!ret.contains(it)})
+        }
+
+        return ret
+    }
+
+    override fun addInput(inputName: String) {
+        val newNode = nodeDef.toBuilder()
+        newNode.addInput(inputName)
+        this.nodeDef = newNode.build()
+
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIROp.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIROp.kt
new file mode 100644
index 000000000..39a88f92a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIROp.kt
@@ -0,0 +1,58 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.samediff.frameworkimport.ir.IRArgDef
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.ir.IROpDef
+import org.tensorflow.framework.*
+
+class TensorflowIROp(input: OpDef):
+    IROpDef {
+
+    val opDef = input
+
+    override fun attributes(): List> {
+        return opDef.attrList.map {
+            TensorflowIRAttr(it, AttrValue.getDefaultInstance())
+        }
+    }
+
+    override fun opName(): String {
+        return opDef.name
+    }
+
+    override fun internalValue(): OpDef {
+        return opDef
+    }
+
+    override fun inputArgs(): List> {
+        return opDef.inputArgList.map {
+            TensorflowIRArgDef(it)
+        }
+    }
+
+    override fun outputArgs(): List> {
+        return opDef.outputArgList.map {
+            TensorflowIRArgDef(it)
+        }
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRTensor.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRTensor.kt
new file mode 100644
index 000000000..62b77df64
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/ir/TensorflowIRTensor.kt
@@ -0,0 +1,129 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.ir
+
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.samediff.frameworkimport.ir.IRDataType
+import org.nd4j.samediff.frameworkimport.ir.IRTensor
+import org.nd4j.samediff.frameworkimport.ndarrayFromNameSpaceTensor
+import org.tensorflow.framework.DataType
+import org.tensorflow.framework.TensorProto
+
+class TensorflowIRTensor(input: TensorProto): IRTensor {
+
+    val tensor = input
+
+
+    override fun shape(): List {
+        return  tensor.tensorShape.dimList.map { it.size }
+
+    }
+
+    override fun stride(): List {
+        return Nd4j.getStrides(shape().toTypedArray().toLongArray(), 'c').asList()
+    }
+
+    override fun dataType(): IRDataType {
+        return TensorflowIRDataType(tensor.dtype)
+    }
+
+    override fun toArgTensor(): TensorNamespace.TensorProto {
+        val builder = TensorNamespace.TensorProto.newBuilder()
+            .setDataLocation(TensorNamespace.TensorProto.DataLocation.DEFAULT)
+
+        for(i in 0 until tensor.tensorShape.dimCount) {
+            builder.addDims(tensor.tensorShape.getDim(i).size)
+        }
+
+        when(tensor.dtype) {
+            DataType.DT_UINT8 -> builder.dataType = TensorNamespace.DataType.UINT8.ordinal
+            DataType.DT_UINT16 -> builder.dataType = TensorNamespace.DataType.UINT16.ordinal
+            DataType.DT_INT8 -> builder.dataType = TensorNamespace.DataType.INT8.ordinal
+            DataType.DT_UINT64 -> builder.dataType = TensorNamespace.DataType.UINT64.ordinal
+            DataType.DT_UINT32 -> builder.dataType = TensorNamespace.DataType.UINT32.ordinal
+            DataType.DT_UINT16 -> builder.dataType = TensorNamespace.DataType.UINT16.ordinal
+            DataType.DT_HALF -> builder.dataType = TensorNamespace.DataType.FLOAT16.ordinal
+            DataType.DT_STRING -> builder.dataType = TensorNamespace.DataType.STRING.ordinal
+            DataType.DT_FLOAT -> builder.dataType = TensorNamespace.DataType.FLOAT.ordinal
+            DataType.DT_DOUBLE -> builder.dataType = TensorNamespace.DataType.DOUBLE.ordinal
+            DataType.DT_BOOL -> builder.dataType = TensorNamespace.DataType.BOOL.ordinal
+            DataType.DT_INT64 -> builder.dataType = TensorNamespace.DataType.INT64.ordinal
+            DataType.DT_INT32 -> builder.dataType = TensorNamespace.DataType.INT32.ordinal
+            DataType.DT_INT16 -> builder.dataType = TensorNamespace.DataType.INT16.ordinal
+            DataType.DT_BFLOAT16 -> builder.dataType = TensorNamespace.DataType.BFLOAT16.ordinal
+            DataType.DT_COMPLEX64 -> builder.dataType = TensorNamespace.DataType.COMPLEX64.ordinal
+            DataType.DT_COMPLEX128 -> builder.dataType = TensorNamespace.DataType.COMPLEX128.ordinal
+            DataType.UNRECOGNIZED -> builder.dataType = TensorNamespace.DataType.UNRECOGNIZED.ordinal
+
+        }
+
+
+        if(tensor.doubleValList != null && tensor.doubleValCount > 0) {
+            builder.addAllDoubleData(tensor.doubleValList)
+        }
+
+        if(tensor.stringValList != null && tensor.stringValCount > 0) {
+            builder.addAllStringData(tensor.stringValList)
+        }
+
+        if(tensor.floatValList != null && tensor.floatValCount > 0) {
+            builder.addAllFloatData(tensor.floatValList)
+        }
+
+        if(tensor.intValList != null && tensor.intValCount > 0) {
+            builder.addAllInt32Data(tensor.intValList)
+        }
+
+        if(tensor.uint64ValList != null && tensor.uint64ValCount > 0) {
+            builder.addAllInt64Data(tensor.uint64ValList)
+        }
+
+        if(tensor.int64ValList != null && tensor.int64ValCount > 0) {
+            builder.addAllInt64Data(tensor.int64ValList)
+        }
+
+        if(tensor.halfValList != null && tensor.halfValCount > 0) {
+            builder.addAllHalfVal(tensor.halfValList)
+        }
+
+        if(tensor.boolValList != null && tensor.boolValCount > 0) {
+            builder.addAllBoolVal(tensor.boolValList)
+        }
+
+        if(tensor.tensorContent != null) {
+            builder.rawData = tensor.tensorContent
+        }
+
+
+        return builder.build()
+    }
+
+    override fun rawValue(): TensorProto {
+        return tensor
+    }
+
+    override fun toNd4jNDArray(): INDArray {
+        if(tensor.dtype == DataType.UNRECOGNIZED || tensor.dtype == DataType.DT_INVALID)
+            return Nd4j.empty()
+         return ndarrayFromNameSpaceTensor(toArgTensor())
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/opdefs/TensorflowOpDescriptorLoader.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/opdefs/TensorflowOpDescriptorLoader.kt
new file mode 100644
index 000000000..9038fcf22
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/opdefs/TensorflowOpDescriptorLoader.kt
@@ -0,0 +1,101 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.opdefs
+
+import org.apache.commons.io.IOUtils
+import org.nd4j.common.io.ClassPathResource
+import org.nd4j.ir.MapperNamespace
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader
+import org.nd4j.samediff.frameworkimport.opdefs.nd4jFileNameTextDefault
+import org.nd4j.samediff.frameworkimport.opdefs.nd4jFileSpecifierProperty
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.tensorflow.process.TensorflowMappingProcessLoader
+import org.nd4j.shade.protobuf.GeneratedMessageV3
+import org.nd4j.shade.protobuf.ProtocolMessageEnum
+import org.nd4j.shade.protobuf.TextFormat
+import org.tensorflow.framework.*
+import java.nio.charset.Charset
+
+class TensorflowOpDescriptorLoader: OpDescriptorLoader {
+
+    val tensorflowFileNameTextDefault = "tensorflow-op-def.pbtxt"
+    val tensorflowFileSpecifierProperty = "samediff.import.tensorflowdescriptors"
+
+    val tensorflowMappingRulSetDefaultFile = "tensorflow-mapping-ruleset.pbtxt"
+    val tensorflowRulesetSpecifierProperty = "samediff.import.tensorflowmappingrules"
+    val nd4jOpDescriptors = nd4jOpList()
+    var mapperDefSet: MapperNamespace.MappingDefinitionSet? = mappingProcessDefinitionSet()
+    var cachedOpList: Map? = inputFrameworkOpDescriptorList()
+    override fun frameworkName(): String {
+        return "tensorflow"
+    }
+
+    override fun nd4jOpList(): OpNamespace.OpDescriptorList {
+        val fileName = System.getProperty(nd4jFileSpecifierProperty, nd4jFileNameTextDefault)
+        val nd4jOpDescriptorResourceStream = ClassPathResource(fileName).inputStream
+        val resourceString = IOUtils.toString(nd4jOpDescriptorResourceStream, Charset.defaultCharset())
+        val descriptorListBuilder = OpNamespace.OpDescriptorList.newBuilder()
+        TextFormat.merge(resourceString,descriptorListBuilder)
+        val ret = descriptorListBuilder.build()
+        val mutableList = ArrayList(ret.opListList)
+        mutableList.sortBy { it.name }
+
+        val newResultBuilder = OpNamespace.OpDescriptorList.newBuilder()
+        newResultBuilder.addAllOpList(mutableList)
+        return newResultBuilder.build()
+    }
+
+    override fun inputFrameworkOpDescriptorList(): Map {
+        if(cachedOpList != null) {
+            return cachedOpList!!
+        }
+        val fileName = System.getProperty(tensorflowFileSpecifierProperty, tensorflowFileNameTextDefault)
+        val string = IOUtils.toString(ClassPathResource(fileName).inputStream, Charset.defaultCharset())
+        val tfListBuilder = OpList.newBuilder()
+        TextFormat.merge(string, tfListBuilder)
+        val ret = HashMap()
+        tfListBuilder.build().opList.forEach { opDef ->
+            ret[opDef.name] = opDef
+        }
+
+        return ret
+    }
+
+
+
+    override fun mappingProcessDefinitionSet(): MapperNamespace.MappingDefinitionSet {
+        if(mapperDefSet != null)
+            return mapperDefSet!!
+        val fileName = System.getProperty(tensorflowRulesetSpecifierProperty, tensorflowMappingRulSetDefaultFile)
+        val string = IOUtils.toString(ClassPathResource(fileName).inputStream, Charset.defaultCharset())
+        val declarationBuilder = MapperNamespace.MappingDefinitionSet.newBuilder()
+        TextFormat.merge(string,declarationBuilder)
+        return declarationBuilder.build()
+    }
+
+    override fun  createOpMappingRegistry(): OpMappingRegistry {
+        val tensorflowOpMappingRegistry =  OpMappingRegistry("tensorflow",nd4jOpDescriptors)
+        val loader = TensorflowMappingProcessLoader(tensorflowOpMappingRegistry)
+        val mappingProcessDefs = mappingProcessDefinitionSet()
+        tensorflowOpMappingRegistry.loadFromDefinitions(mappingProcessDefs,loader)
+        return tensorflowOpMappingRegistry as OpMappingRegistry
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/process/TensorflowMappingProcess.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/process/TensorflowMappingProcess.kt
new file mode 100644
index 000000000..5786168eb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/process/TensorflowMappingProcess.kt
@@ -0,0 +1,73 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.process
+
+
+import org.nd4j.common.base.Preconditions
+import org.nd4j.samediff.frameworkimport.process.AbstractMappingProcess
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.attributeValueTypeForTensorflowAttribute
+import org.tensorflow.framework.*
+
+open class TensorflowMappingProcess(inputFramework: String = "tensorflow",
+                                    frameworkVersion: String = "2.3",
+                                    inputFrameworkOpName: String,
+                                    opName: String,
+                                    opMappingRegistry: OpMappingRegistry,
+                                    tensorMappingRules: List> = emptyList(),
+                                    attributeMappingRules: List> = emptyList(),
+                                    inputIndexOverrides: Map = emptyMap())
+    : AbstractMappingProcess(
+    inputFramework,
+    frameworkVersion,
+    inputFrameworkOpName,
+    inputIndexOverrides,
+    opName,
+    opMappingRegistry,
+    tensorMappingRules,
+    attributeMappingRules) {
+    override fun inputOpDefValueTypes(): Map {
+        Preconditions.checkNotNull(inputFrameworkOpName,"No input framework op def name found!")
+        val opDef = opMappingRegistry.lookupInputFrameworkOpDef(inputFrameworkOpName)
+        val retMap = HashMap()
+        opDef.attrList.forEach { attrDef ->
+            retMap[attrDef.name] = attributeValueTypeForTensorflowAttribute(attrDef)
+        }
+
+        return retMap
+
+    }
+
+}
+
+
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/process/TensorflowMappingProcessLoader.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/process/TensorflowMappingProcessLoader.kt
new file mode 100644
index 000000000..20e06b3b7
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/process/TensorflowMappingProcessLoader.kt
@@ -0,0 +1,54 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.process
+
+import org.nd4j.samediff.frameworkimport.process.AbstractMappingProcessLoader
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.TensorMappingRule
+import org.tensorflow.framework.*
+
+class TensorflowMappingProcessLoader(opMappingRegistry: OpMappingRegistry):
+    AbstractMappingProcessLoader(opMappingRegistry) {
+
+
+    override fun frameworkName(): String {
+        return "tensorflow"
+    }
+
+    override fun instantiateMappingProcess(
+        inputFrameworkOpName: String,
+        opName: String,
+        attributeMappingRules: List>,
+        tensorMappingRules: List>,
+        opMappingRegistry: OpMappingRegistry,
+        indexOverrides: Map
+    ): MappingProcess {
+        return TensorflowMappingProcess(
+            inputFrameworkOpName = inputFrameworkOpName,
+            opName = opName,
+            attributeMappingRules = attributeMappingRules,
+            tensorMappingRules = tensorMappingRules,
+            opMappingRegistry = opMappingRegistry,
+            inputIndexOverrides = indexOverrides)
+
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowArgDescriptorConstant.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowArgDescriptorConstant.kt
new file mode 100644
index 000000000..15dbd2405
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowArgDescriptorConstant.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.ArgDescriptorConstant
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","argdescriptorconstant","attribute")
+class TensorflowArgDescriptorConstant(mappingNamesToPerform: Map, transformerArgs: Map>)
+    : ArgDescriptorConstant(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeNDArrayToScalarAttribute.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeNDArrayToScalarAttribute.kt
new file mode 100644
index 000000000..cb9f51dc7
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeNDArrayToScalarAttribute.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeNDArrayToScalarAttribute
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","attributendarraytoscalarattribute","attribute")
+class TensorflowAttributeNDArrayToScalarAttribute(mappingNamesToPerform: Map, transformerArgs: Map>)
+    : AttributeNDArrayToScalarAttribute(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeNumberListNDArray.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeNumberListNDArray.kt
new file mode 100644
index 000000000..a86ec9569
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeNumberListNDArray.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeNumberListNDArray
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","convertinputnumberlisttondarray","attribute")
+class TensorflowAttributeNumberListNDArray(mappingNamesToPerform: Map, transformerArgs: Map>) : AttributeNumberListNDArray(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeScalarNDArrayAttribute.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeScalarNDArrayAttribute.kt
new file mode 100644
index 000000000..bf8e4196e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowAttributeScalarNDArrayAttribute.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeScalarNDArrayAttribute
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","attributescalarndarrayattribute","attribute")
+class TensorflowAttributeScalarNDArrayAttribute(mappingNamesToPerform: Map = emptyMap(),
+                                                transformerArgs: Map> = emptyMap()) :
+    AttributeScalarNDArrayAttribute
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowConditionalFieldValueIntIndexArrayRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowConditionalFieldValueIntIndexArrayRule.kt
new file mode 100644
index 000000000..84431c428
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowConditionalFieldValueIntIndexArrayRule.kt
@@ -0,0 +1,89 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ConditionalFieldValueIntIndexArrayRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","conditionalfieldvalueintindex","attribute")
+class TensorflowConditionalFieldValueIntIndexArrayRule
+    (mappingNamesToPerform: Map, transformerArgs: Map>) :
+    ConditionalFieldValueIntIndexArrayRule
+        (mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess<
+            GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>
+    ): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowConditionalFieldValueIntIndexNDArrayRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowConditionalFieldValueIntIndexNDArrayRule.kt
new file mode 100644
index 000000000..03c2f46a4
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowConditionalFieldValueIntIndexNDArrayRule.kt
@@ -0,0 +1,88 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ConditionalFieldValueIntIndexNDArrayRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","conditionalfieldvalueintindexndarray","attribute")
+class TensorflowConditionalFieldValueIntIndexNDArrayRule
+    (mappingNamesToPerform: Map, transformerArgs: Map>) :
+    ConditionalFieldValueIntIndexNDArrayRule
+        (mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess<
+            GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowDataTypeToInt.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowDataTypeToInt.kt
new file mode 100644
index 000000000..ffbc8fb90
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowDataTypeToInt.kt
@@ -0,0 +1,80 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.DataTypeToInt
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","datatypetoint","attribute")
+class TensorflowDataTypeToInt(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    DataTypeToInt(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowFlattenDims.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowFlattenDims.kt
new file mode 100644
index 000000000..7ee459345
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowFlattenDims.kt
@@ -0,0 +1,83 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.ArgDescriptorConstant
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.FlattenDims
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","flattendims","attribute")
+class TensorflowFlattenDims(mappingNamesToPerform: Map, transformerArgs: Map>)
+    : FlattenDims(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowInvertBooleanNumber.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowInvertBooleanNumber.kt
new file mode 100644
index 000000000..64279795c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowInvertBooleanNumber.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.InvertBooleanNumber
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","invertbooleannumber","attribute")
+class TensorflowInvertBooleanNumber(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    InvertBooleanNumber(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListAttributeValueLookupToIndex.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListAttributeValueLookupToIndex.kt
new file mode 100644
index 000000000..175701939
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListAttributeValueLookupToIndex.kt
@@ -0,0 +1,78 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ListAttributeValueLookupToIndex
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","listattributevaluelookuptoindex","attribute")
+class TensorflowListAttributeValueLookupToIndex(mappingNamesToPerform: Map, transformerArgs: Map>) : ListAttributeValueLookupToIndex(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListNumberToListNumber.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListNumberToListNumber.kt
new file mode 100644
index 000000000..de185c941
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListNumberToListNumber.kt
@@ -0,0 +1,78 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ListNumberToListNumber
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","listnumbertolistnumber","attribute")
+class TensorflowListNumberToListNumber(mappingNamesToPerform: Map, transformerArgs: Map>) : ListNumberToListNumber(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListNumberToNDArray.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListNumberToNDArray.kt
new file mode 100644
index 000000000..1c9be0878
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListNumberToNDArray.kt
@@ -0,0 +1,83 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ListNumberToNDArray
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","listnumbertondarray","attribute")
+class TensorflowListNumberToNDArray(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    ListNumberToNDArray(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow").values.first { input ->
+            input.name ==  mappingProcess.inputFrameworkOpName()
+        }
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow").values.first { input ->
+            input.name ==  mappingProcess.inputFrameworkOpName()
+        }
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowMapStringToInt.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowMapStringToInt.kt
new file mode 100644
index 000000000..2c66fb9d6
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowMapStringToInt.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.MapStringToInt
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","mapstringtoindex","attribute")
+class TensorflowMapStringToInt(mappingNamesToPerform: Map, transformerArgs: Map>) : MapStringToInt(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayAttributeToNDArrayInput.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayAttributeToNDArrayInput.kt
new file mode 100644
index 000000000..82482bdb8
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayAttributeToNDArrayInput.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayAttributeToNDArrayInput
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","ndarrayinputtondarray","attribute")
+class TensorflowNDArrayAttributeToNDArrayInput(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    NDArrayAttributeToNDArrayInput(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayExtractScalarValue.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayExtractScalarValue.kt
new file mode 100644
index 000000000..521b767e2
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayExtractScalarValue.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayExtractScalarValue
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","ndarrayextractscalarvalue","attribute")
+class TensorflowNDArrayExtractScalarValue(mappingNamesToPerform: Map = emptyMap(),
+                                          transformerArgs: Map> = emptyMap()) :
+    NDArrayExtractScalarValue
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayInputToNumericalAttribute.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayInputToNumericalAttribute.kt
new file mode 100644
index 000000000..4c923c5f1
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayInputToNumericalAttribute.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayInputToNumericalAttribute
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","ndarrayinputtonumericalattribute","attribute")
+class TensorflowNDArrayInputToNumericalAttribute(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    NDArrayInputToNumericalAttribute(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArraySizeAt.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArraySizeAt.kt
new file mode 100644
index 000000000..801cc4440
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArraySizeAt.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArraySizeAtRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","ndarraysizeat","attribute")
+class TensorflowNDArraySizeAt(mappingNamesToPerform: Map, transformerArgs: Map>):
+    NDArraySizeAtRule(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayToIntAttributeValue.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayToIntAttributeValue.kt
new file mode 100644
index 000000000..b938ca562
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNDArrayToIntAttributeValue.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.NDArrayToIntAttributeValue
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","ndarraytointattributevalue","attribute")
+class TensorflowNDArrayToIntAttributeValue(mappingNamesToPerform: Map) : NDArrayToIntAttributeValue(mappingNamesToPerform = mappingNamesToPerform,transformerArgs = emptyMap()) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNdArrayToStringIndex.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNdArrayToStringIndex.kt
new file mode 100644
index 000000000..ad70ded8e
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowNdArrayToStringIndex.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringToInt
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","stringtoindex","attribute")
+class TensorflowNdArrayToStringIndex(mappingNamesToPerform: Map, transformerArgs: Map>) : StringToInt(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringAttributeToNDArray.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringAttributeToNDArray.kt
new file mode 100644
index 000000000..41f597841
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringAttributeToNDArray.kt
@@ -0,0 +1,81 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringAttributeToNDArray
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","convertinputstringtondarray","attribute")
+class TensorflowStringAttributeToNDArray(mappingNamesToPerform: Map, transformerArgs: Map>) : StringAttributeToNDArray(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringContainsAdapterRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringContainsAdapterRule.kt
new file mode 100644
index 000000000..a4737cdd3
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringContainsAdapterRule.kt
@@ -0,0 +1,84 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringContainsAdapterRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","stringcontains","attribute")
+class TensorflowStringContainsAdapterRule(mappingNamesToPerform: Map = emptyMap(),
+                                          transformerArgs: Map> = emptyMap()) :
+    StringContainsAdapterRule
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringEqualsAdapterRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringEqualsAdapterRule.kt
new file mode 100644
index 000000000..1364fbc03
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringEqualsAdapterRule.kt
@@ -0,0 +1,85 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringEqualsAdapterRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","stringequals","attribute")
+class TensorflowStringEqualsAdapterRule(mappingNamesToPerform: Map = emptyMap(),
+                                        transformerArgs: Map> = emptyMap()) :
+    StringEqualsAdapterRule
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringNotEqualsAdapterRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringNotEqualsAdapterRule.kt
new file mode 100644
index 000000000..6777b8e10
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowStringNotEqualsAdapterRule.kt
@@ -0,0 +1,91 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.StringNotEqualsAdapterRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","stringnotequalsadapterrule","attribute")
+class TensorflowStringNotEqualsAdapterRule(mappingNamesToPerform: Map = emptyMap(),
+                                           transformerArgs: Map> = emptyMap()) :
+    StringNotEqualsAdapterRule
+        ( mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String,
+                                               mappingProcess: MappingProcess
+    ): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String,
+                                                mappingProcess:
+                                                MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowValueMappingRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowValueMappingRule.kt
new file mode 100644
index 000000000..652b719ce
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowValueMappingRule.kt
@@ -0,0 +1,82 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.samediff.frameworkimport.argDescriptorType
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.ir.IRAttribute
+import org.nd4j.samediff.frameworkimport.isNd4jTensorName
+import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.process.MappingProcess
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
+import org.nd4j.samediff.frameworkimport.rule.attribute.ValueMapping
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","valuemapping","attribute")
+class TensorflowValueMappingRule(mappingNamesToPerform: Map, transformerArgs: Map>) :
+    ValueMapping(mappingNamesToPerform, transformerArgs) {
+
+    override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute {
+        return TensorflowIRAttr(attrDef, attributeValueType)
+    }
+
+    override fun convertAttributesReverse(allInputArguments: List, inputArgumentsToProcess: List): List> {
+        TODO("Not yet implemented")
+    }
+    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowTensorName(name, opDef)
+    }
+
+    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isNd4jTensorName(name,nd4jOpDescriptor)
+    }
+
+    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return isTensorflowAttributeName(name, opDef)
+    }
+
+    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
+    }
+
+    override fun argDescriptorType(name: String, mappingProcess: MappingProcess): OpNamespace.ArgDescriptor.ArgType {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
+        return argDescriptorType(name,nd4jOpDescriptor)
+    }
+
+    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess): AttributeValueType {
+        val opDef = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
+
+        return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/NDArrayMappingRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/NDArrayMappingRule.kt
new file mode 100644
index 000000000..2ccf21531
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/NDArrayMappingRule.kt
@@ -0,0 +1,58 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.BaseNDArrayMappingRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRTensor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","ndarraymapping","tensor")
+class NDArrayMappingRule(mappingNamesToPerform: MutableMap,
+                         transformerArgs: Map> = emptyMap()):
+        BaseNDArrayMappingRule(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+
+    override fun createTensorProto(input: TensorProto): TensorNamespace.TensorProto {
+        return TensorflowIRTensor(input).toArgTensor()
+    }
+
+
+    override fun isInputTensorName(inputName: String): Boolean {
+        if(mappingProcess == null)
+            throw IllegalArgumentException("No mapping process found for rule!")
+        if(!OpDescriptorLoaderHolder.listForFramework("tensorflow").containsKey(mappingProcess!!.inputFrameworkOpName()))
+            throw java.lang.IllegalArgumentException("No op definition found for op name ${mappingProcess!!.inputFrameworkOpName()}")
+        val tfOp = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess!!.inputFrameworkOpName()]!!
+
+        return tfOp.inputArgList.map { input -> input.name }.contains(inputName)
+    }
+
+    override fun isOutputTensorName(outputName: String): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
+        return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+                .map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowMultiInputIndexMappingRule.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowMultiInputIndexMappingRule.kt
new file mode 100644
index 000000000..60f5fbbc2
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowMultiInputIndexMappingRule.kt
@@ -0,0 +1,54 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.MultiInputIndexMappingRule
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRTensor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","multiinputindex","tensor")
+class TensorflowMultiInputIndexMappingRule(mappingNamesToPerform: MutableMap,
+                         transformerArgs: Map> = emptyMap()):
+    MultiInputIndexMappingRule(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+
+    override fun createTensorProto(input: TensorProto): TensorNamespace.TensorProto {
+        return TensorflowIRTensor(input).toArgTensor()
+    }
+
+
+    override fun isInputTensorName(inputName: String): Boolean {
+        val tfOp = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess!!.inputFrameworkOpName()]!!
+
+        return tfOp.inputArgList.map { input -> input.name }.contains(inputName)
+    }
+
+    override fun isOutputTensorName(outputName: String): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
+        return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+            .map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowPassThroughMultiTensorMapping.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowPassThroughMultiTensorMapping.kt
new file mode 100644
index 000000000..d6cfd6c3b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowPassThroughMultiTensorMapping.kt
@@ -0,0 +1,55 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor
+
+import org.nd4j.ir.OpNamespace
+import org.nd4j.ir.TensorNamespace
+import org.nd4j.samediff.frameworkimport.findOp
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.rule.MappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.MultiInputIndexMappingRule
+import org.nd4j.samediff.frameworkimport.rule.tensor.PassThroughMultiTensorMapping
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRTensor
+import org.tensorflow.framework.*
+
+@MappingRule("tensorflow","passthrough","tensor")
+class TensorflowPassThroughMultiTensorMapping(mappingNamesToPerform: MutableMap = mutableMapOf(),
+                                              transformerArgs: Map> = emptyMap()):
+    PassThroughMultiTensorMapping(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
+
+
+
+    override fun createTensorProto(input: TensorProto): TensorNamespace.TensorProto {
+        return TensorflowIRTensor(input).toArgTensor()
+    }
+
+
+    override fun isInputTensorName(inputName: String): Boolean {
+        val tfOp = OpDescriptorLoaderHolder.listForFramework("tensorflow")[mappingProcess!!.inputFrameworkOpName()]!!
+
+        return tfOp.inputArgList.map { input -> input.name }.contains(inputName)
+    }
+
+    override fun isOutputTensorName(outputName: String): Boolean {
+        val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
+        return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
+            .map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
+    }
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.ImportGraphHolder b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.ImportGraphHolder
new file mode 100644
index 000000000..2e2411e3c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.ImportGraphHolder
@@ -0,0 +1,217 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+org.nd4j.samediff.frameworkimport.tensorflow.TensorflowImportGraph
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader
new file mode 100644
index 000000000..899adce3b
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/META-INF/services/org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoader
@@ -0,0 +1,217 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+org.nd4j.samediff.frameworkimport.tensorflow.opdefs.TensorflowOpDescriptorLoader
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/tensorflow-mapping-ruleset.pbtxt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/tensorflow-mapping-ruleset.pbtxt
new file mode 100644
index 000000000..ecfd3b869
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/tensorflow-mapping-ruleset.pbtxt
@@ -0,0 +1,15859 @@
+mappings {
+  frameworkName: "tensorflow"
+  opName: "unique"
+  inputFrameworkOpName: "UniqueV2"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "x"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "UniqueV2"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "conv2d"
+  inputFrameworkOpName: "Conv2D"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    inputTensorName: "filter"
+    outputTensorName: "input"
+    outputTensorName: "weights"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    inputToOutput {
+      key: "weights"
+      value: "filter"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "wFormat"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "wFormat"
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "stringnotequalsadapterrule"
+    functionName: "stringnotequalsadapterrule"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCHW"
+    inputFloatName: "data_format"
+    inputToOutput {
+      key: "isNCHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCHW"
+      transformerArgs {
+        name: "data_format"
+        argIndex: 9
+        stringValue: "NCHW"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "stringequals"
+    functionName: "stringequals"
+    inputStringAttrName: "padding"
+    inputStringAttrName: "padding"
+    outputIntName: "isSameMode"
+    inputToOutput {
+      key: "isSameMode"
+      value: "padding"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isSameMode"
+      transformerArgs {
+        name: "padding"
+        argType: STRING
+        argIndex: 8
+        stringValue: "SAME"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "sH"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "sH"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "sW"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "sW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "dH"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "dH"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "dW"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "dW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "kH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "kH"
+        int64Value: -1
+        argType: INT64
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "kW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "kW"
+        int64Value: -1
+        argType: INT64
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "random_poisson"
+  inputFrameworkOpName: "RandomPoisson"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "shape"
+    inputTensorName: "rate"
+    outputTensorName: "shape"
+    outputTensorName: "lambda"
+    inputToOutput {
+      key: "shape"
+      value: "shape"
+    }
+    inputToOutput {
+      key: "lambda"
+      value: "rate"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "RandomPoisson"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputIntName: "seed"
+    outputIntName: "seed"
+    inputDataTypeName: "dtype"
+    outputDataTypeName: "dtype"
+    inputToOutput {
+      key: "seed"
+      value: "seed"
+    }
+    inputToOutput {
+      key: "dtype"
+      value: "dtype"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "RandomPoisson"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "maxpool2d"
+  inputFrameworkOpName: "MaxPool"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "dW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "dH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "extraParam0"
+    ruleType: "attribute"
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+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    ruleType: "tensor"
+    inputFrameworkOpName: "Placeholder"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "polygamma"
+  inputFrameworkOpName: "Polygamma"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
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+    inputTensorName: "x"
+    outputTensorName: "n"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "n"
+      value: "a"
+    }
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Polygamma"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "matrix_band_part"
+  inputFrameworkOpName: "MatrixBandPart"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    inputTensorName: "num_lower"
+    inputTensorName: "num_upper"
+    outputTensorName: "input"
+    outputTensorName: "minLowerT"
+    outputTensorName: "maxUpperT"
+    inputToOutput {
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+      value: "input"
+    }
+    inputToOutput {
+      key: "minLowerT"
+      value: "num_lower"
+    }
+    inputToOutput {
+      key: "maxUpperT"
+      value: "num_upper"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MatrixBandPart"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "equals"
+  inputFrameworkOpName: "ApproximateEqual"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
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+    inputTensorName: "y"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    inputToOutput {
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+      value: "y"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "ApproximateEqual"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "ApproximateEqual"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "stop_gradient"
+  inputFrameworkOpName: "StopGradient"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
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+    outputTensorName: "input"
+    inputToOutput {
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+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "StopGradient"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "StopGradient"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "scatter_add"
+  inputFrameworkOpName: "TensorScatterAdd"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
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+    inputTensorName: "indices"
+    inputTensorName: "updates"
+    outputTensorName: "input"
+    outputTensorName: "indices"
+    outputTensorName: "updates"
+    inputToOutput {
+      key: "input"
+      value: "tensor"
+    }
+    inputToOutput {
+      key: "indices"
+      value: "indices"
+    }
+    inputToOutput {
+      key: "updates"
+      value: "updates"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "TensorScatterAdd"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "lock"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "lock"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "TensorScatterAdd"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "checkIndices"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "checkIndices"
+        argType: BOOL
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "TensorScatterAdd"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "avgpool2d"
+  inputFrameworkOpName: "AvgPool"
+  rule {
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+    functionName: "ndarraymapping"
+    inputTensorName: "value"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "value"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "AvgPool"
+  }
+  rule {
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+    functionName: "stringnotequalsadapterrule"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCHW"
+    inputFloatName: "data_format"
+    inputToOutput {
+      key: "isNCHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCHW"
+      transformerArgs {
+        name: "data_format"
+        argIndex: 10
+        stringValue: "NCHW"
+      }
+    }
+    inputFrameworkOpName: "AvgPool"
+  }
+  rule {
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+    functionName: "stringequals"
+    inputStringAttrName: "padding"
+    inputStringAttrName: "padding"
+    outputIntName: "isSameMode"
+    inputToOutput {
+      key: "isSameMode"
+      value: "padding"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isSameMode"
+      transformerArgs {
+        name: "padding"
+        argType: STRING
+        argIndex: 8
+        stringValue: "SAME"
+      }
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+    inputFrameworkOpName: "AvgPool"
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+    functionName: "conditionalfieldvalueintindex"
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+    inputFloatName: "targetValue"
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+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
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+      value: "data_format"
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+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+}
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+}
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+        stringValue: "strides"
+      }
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+    transformerArgs {
+      key: "sH"
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+      transformerArgs {
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+    transformerArgs {
+      key: "sH"
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+      transformerArgs {
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+    transformerArgs {
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+      transformerArgs {
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+    functionName: "conditionalfieldvalueintindex"
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+    inputFloatName: "targetValue"
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+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
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+    inputFloatName: "trueIndex"
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+    inputToOutput {
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+      value: "data_format"
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+    ruleType: "attribute"
+    transformerArgs {
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+    transformerArgs {
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+    transformerArgs {
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+    inputFloatName: "attributeNameOfListAttribute"
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+    ruleType: "attribute"
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+      }
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+      }
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+    transformerArgs {
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+      transformerArgs {
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+      }
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+    transformerArgs {
+      key: "dW"
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+  }
+  rule {
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+    functionName: "ndarraysizeat"
+    outputIntName: "kH"
+    inputFloatName: "filter"
+    inputToOutput {
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+      value: "filter"
+    }
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "filter"
+      }
+    }
+    inputFrameworkOpName: "DepthwiseConv2dNative"
+  }
+  rule {
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+    functionName: "ndarraysizeat"
+    outputIntName: "kW"
+    inputFloatName: "filter"
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+      value: "filter"
+    }
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "DepthwiseConv2dNative"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    inputIntName: "pW"
+    inputIntName: "wFormat"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 5
+      }
+      transformerArgs {
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+        argType: INT64
+        argIndex: 10
+      }
+    }
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+      transformerArgs {
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+        argType: INT64
+        argIndex: 5
+      }
+      transformerArgs {
+        name: "wFormat"
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    transformerArgs {
+      key: "value"
+      transformerArgs {
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+        argType: INT64
+        argIndex: 4
+      }
+      transformerArgs {
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+        argType: INT64
+        argIndex: 5
+      }
+      transformerArgs {
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+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "DepthwiseConv2dNative"
+  }
+}
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+  opName: "log_matrix_determinant"
+  inputFrameworkOpName: "LogMatrixDeterminant"
+  rule {
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+    functionName: "ndarraymapping"
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+      value: "input"
+    }
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+    inputFrameworkOpName: "LogMatrixDeterminant"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "LogMatrixDeterminant"
+  }
+}
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+  opName: "realdiv"
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+    inputToOutput {
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+      value: "y"
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+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "RealDiv"
+  }
+  rule {
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+    functionName: "valuemapping"
+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
+    inputToOutput {
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+      value: "T"
+    }
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+}
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+  opName: "abs"
+  inputFrameworkOpName: "Abs"
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+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Abs"
+  }
+  rule {
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+    functionName: "valuemapping"
+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
+    inputToOutput {
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+      value: "T"
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+    inputFrameworkOpName: "Abs"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Abs"
+  }
+}
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+  opName: "identity"
+  inputFrameworkOpName: "VariableV2"
+  rule {
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+    functionName: "ndarraymapping"
+    ruleType: "tensor"
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+  }
+  rule {
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+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "VariableV2"
+  }
+  rule {
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+    functionName: "valuemapping"
+    inputDataTypeName: "dtype"
+    outputDataTypeName: "dataType"
+    inputToOutput {
+      key: "dataType"
+      value: "dtype"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "VariableV2"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "matrix_determinant"
+  inputFrameworkOpName: "BatchMatrixDeterminant"
+  rule {
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+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
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+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "BatchMatrixDeterminant"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "MatrixDeterminant"
+  }
+}
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+  opName: "maxpool3dnew"
+  inputFrameworkOpName: "MaxPool3D"
+  rule {
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+    functionName: "ndarraymapping"
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+    outputTensorName: "input"
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+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "extraParam0"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: INT64
+        argIndex: 13
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pD"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "pD"
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pW"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 8
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "dD"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        int64Value: 1
+        argType: INT64
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+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "dH"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        int64Value: 1
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "dW"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 11
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
+    ruleName: "stringequals"
+    functionName: "stringequals"
+    inputStringAttrName: "data_format"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCDHW"
+    inputToOutput {
+      key: "isNCDHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCDHW"
+      transformerArgs {
+        name: "data_format"
+        argType: STRING
+        argIndex: 14
+        stringValue: "NDHWC"
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "stringequals"
+    inputStringAttrName: "padding"
+    inputStringAttrName: "padding"
+    outputIntName: "isSameMode"
+    inputToOutput {
+      key: "isSameMode"
+      value: "padding"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isSameMode"
+      transformerArgs {
+        name: "padding"
+        argType: STRING
+        argIndex: 12
+        stringValue: "SAME"
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "ksize"
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+    ruleType: "attribute"
+    transformerArgs {
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+        argType: INT64
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "ksize"
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+    ruleType: "attribute"
+    transformerArgs {
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+        argType: INT64
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "ksize"
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+        argType: INT64
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+    inputBooleanName: "half_pixel_centers"
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+      transformerArgs {
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+    functionName: "conditionalfieldvalueintindexndarray"
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+    functionName: "conditionalfieldvalueintindexndarray"
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+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
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+      transformerArgs {
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+      transformerArgs {
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+        stringValue: "ksize"
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+    transformerArgs {
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+        stringValue: "NCHW"
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+      transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+        stringValue: "ksize"
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+    transformerArgs {
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+      transformerArgs {
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+        argIndex: 1
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+      }
+      transformerArgs {
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+        stringValue: "ksize"
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+    }
+    transformerArgs {
+      key: "kW"
+      transformerArgs {
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+      }
+      transformerArgs {
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+        argIndex: 1
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+      transformerArgs {
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+      transformerArgs {
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+    inputFrameworkOpName: "MaxPoolV2"
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+}
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+  inputFrameworkOpName: "Cholesky"
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+    functionName: "ndarraymapping"
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+      value: "input"
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+    inputFrameworkOpName: "RandomCrop"
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+      value: "seed"
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+    functionName: "ndarraytointattributevalue"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
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+    transformerArgs {
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+      transformerArgs {
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "BatchToSpaceND"
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+}
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+  opName: "reduce_mean"
+  inputFrameworkOpName: "Mean"
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+    ruleType: "tensor"
+    inputFrameworkOpName: "Mean"
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+  rule {
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+    outputBooleanName: "keepDims"
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+      value: "keep_dims"
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+    ruleType: "attribute"
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+  rule {
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+    functionName: "ndarraytointattributevalue"
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+}
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+    functionName: "valuemapping"
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+      value: "T"
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+    ruleType: "attribute"
+    inputFrameworkOpName: "Cosh"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
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+    transformerArgs {
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+        argType: BOOL
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+    }
+    inputFrameworkOpName: "Cosh"
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+}
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+  opName: "identity"
+  inputFrameworkOpName: "Variable"
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+    inputFrameworkOpName: "Variable"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Variable"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputDataTypeName: "dtype"
+    outputDataTypeName: "dataType"
+    inputToOutput {
+      key: "dataType"
+      value: "dtype"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "Variable"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "log_softmax"
+  inputFrameworkOpName: "LogSoftmax"
+  rule {
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+    functionName: "ndarraymapping"
+    inputTensorName: "logits"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "logits"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "LogSoftmax"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "cross"
+  inputFrameworkOpName: "Cross"
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+      value: "a"
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+    inputToOutput {
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+      value: "b"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Cross"
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+}
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+  frameworkName: "tensorflow"
+  opName: "matrix_set_diag"
+  inputFrameworkOpName: "BatchMatrixSetDiag"
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+    functionName: "ndarraymapping"
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+    inputTensorName: "diagonal"
+    outputTensorName: "input"
+    outputTensorName: "diagonal"
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+      value: "input"
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+    inputToOutput {
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+      value: "diagonal"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "BatchMatrixSetDiag"
+  }
+}
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+  opName: "non_max_suppression_overlaps"
+  inputFrameworkOpName: "NonMaxSuppressionWithOverlaps"
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+    functionName: "ndarraymapping"
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+    inputTensorName: "overlaps"
+    outputTensorName: "scales"
+    outputTensorName: "boxes"
+    inputToOutput {
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+      value: "scores"
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+    inputToOutput {
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+      value: "overlaps"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "NonMaxSuppressionWithOverlaps"
+  }
+  rule {
+    ruleName: "ndarrayinputtonumericalattribute"
+    functionName: "ndarrayinputtonumericalattribute"
+    outputIntName: "maxOutputSize"
+    outputDoubleName: "overlapThreshold"
+    outputDoubleName: "scoreThreshold"
+    inputToOutput {
+      key: "maxOutputSize"
+      value: "max_output_size"
+    }
+    inputToOutput {
+      key: "overlapThreshold"
+      value: "overlap_threshold"
+    }
+    inputToOutput {
+      key: "scoreThreshold"
+      value: "score_threshold"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "NonMaxSuppressionWithOverlaps"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "concat"
+  inputFrameworkOpName: "ConcatV2"
+  rule {
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+    functionName: "passthrough"
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+  }
+  rule {
+    ruleName: "ndarrayinputtonumericalattribute"
+    functionName: "ndarrayinputtonumericalattribute"
+    inputToOutput {
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+      value: "axis"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "ConcatV2"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "isDynamicAxis"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isDynamicAxis"
+        boolValue: true
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "ConcatV2"
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+}
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+  inputFrameworkOpName: "TruncateDiv"
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+      value: "y"
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+  rule {
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+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "TruncateDiv"
+  }
+  rule {
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+    functionName: "valuemapping"
+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
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+      value: "T"
+    }
+    ruleType: "attribute"
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+  }
+}
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+      value: "input"
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+      value: "reduction_indices"
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+    ruleType: "tensor"
+    inputFrameworkOpName: "Any"
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+  rule {
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+    functionName: "valuemapping"
+    inputBooleanName: "keep_dims"
+    outputBooleanName: "keepDims"
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+      value: "keep_dims"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "Any"
+  }
+  rule {
+    ruleName: "ndarraytointattributevalue"
+    functionName: "ndarraytointattributevalue"
+    inputToOutput {
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+      value: "reduction_indices"
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+    ruleType: "attribute"
+    inputFrameworkOpName: "Any"
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+}
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+    functionName: "ndarraymapping"
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+    inputToOutput {
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+}
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+  inputFrameworkOpName: "Inv"
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+    functionName: "ndarraymapping"
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+      value: "x"
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+    inputFrameworkOpName: "Inv"
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+}
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+      value: "x"
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+}
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+      value: "x"
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+    ruleType: "tensor"
+    inputFrameworkOpName: "Igammac"
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+}
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+  opName: "extract_image_patches"
+  inputFrameworkOpName: "ExtractImagePatches"
+  rule {
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+    functionName: "ndarraymapping"
+    inputTensorName: "images"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "images"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "ExtractImagePatches"
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+  rule {
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+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "index"
+    outputIntName: "ksizeRows"
+    inputToOutput {
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+      value: "ksizes"
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+    ruleType: "attribute"
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+      transformerArgs {
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diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/tensorflow-op-def.pbtxt b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/tensorflow-op-def.pbtxt
new file mode 100644
index 000000000..5f449903a
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/tensorflow-op-def.pbtxt
@@ -0,0 +1,58323 @@
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+      b: false
+    }
+  }
+}
+op {
+  name: "AudioSummary"
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "tensor"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "summary"
+    type: DT_STRING
+  }
+  attr {
+    name: "sample_rate"
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+  attr {
+    name: "max_outputs"
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+    default_value {
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+    }
+    has_minimum: true
+    minimum: 1
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+    explanation: "Use AudioSummaryV2."
+  }
+}
+op {
+  name: "AudioSummaryV2"
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "tensor"
+    type: DT_FLOAT
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+  input_arg {
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+    type: DT_FLOAT
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+  output_arg {
+    name: "summary"
+    type: DT_STRING
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+  attr {
+    name: "max_outputs"
+    type: "int"
+    default_value {
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+    has_minimum: true
+    minimum: 1
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+}
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+  input_arg {
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+    type: DT_VARIANT
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+  input_arg {
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+    type: DT_INT64
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+  input_arg {
+    name: "index"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "auto_shard_policy"
+    type: "int"
+    default_value {
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+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "num_replicas"
+    type: "int"
+    default_value {
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+    }
+  }
+}
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+  input_arg {
+    name: "value"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "ksize"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 4
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+  attr {
+    name: "strides"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 4
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+  attr {
+    name: "padding"
+    type: "string"
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+  attr {
+    name: "data_format"
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+    allowed_values {
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+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
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+        type: DT_HALF
+        type: DT_BFLOAT16
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
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+}
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+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
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+  attr {
+    name: "ksize"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 5
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+  attr {
+    name: "strides"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 5
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+  attr {
+    name: "padding"
+    type: "string"
+    allowed_values {
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+  attr {
+    name: "data_format"
+    type: "string"
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+    allowed_values {
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+        s: "NCDHW"
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+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
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+        type: DT_HALF
+        type: DT_BFLOAT16
+        type: DT_FLOAT
+        type: DT_DOUBLE
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+}
+op {
+  name: "AvgPool3DGrad"
+  input_arg {
+    name: "orig_input_shape"
+    type: DT_INT32
+  }
+  input_arg {
+    name: "grad"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "ksize"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 5
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+  attr {
+    name: "strides"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 5
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+  attr {
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+    type: "string"
+    allowed_values {
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+  attr {
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+    default_value {
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+    allowed_values {
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+        s: "NCDHW"
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+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
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+        type: DT_HALF
+        type: DT_BFLOAT16
+        type: DT_FLOAT
+        type: DT_DOUBLE
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+}
+op {
+  name: "AvgPoolGrad"
+  input_arg {
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+    type: DT_INT32
+  }
+  input_arg {
+    name: "grad"
+    type_attr: "T"
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+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "ksize"
+    type: "list(int)"
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+    minimum: 4
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+  attr {
+    name: "strides"
+    type: "list(int)"
+    has_minimum: true
+    minimum: 4
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+  attr {
+    name: "padding"
+    type: "string"
+    allowed_values {
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+  attr {
+    name: "data_format"
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+    allowed_values {
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+        s: "NCHW"
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+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_BFLOAT16
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+}
+op {
+  name: "BandedTriangularSolve"
+  input_arg {
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+    type_attr: "T"
+  }
+  input_arg {
+    name: "rhs"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "lower"
+    type: "bool"
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+  }
+  attr {
+    name: "adjoint"
+    type: "bool"
+    default_value {
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+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_DOUBLE
+        type: DT_FLOAT
+        type: DT_HALF
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
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+}
+op {
+  name: "Barrier"
+  output_arg {
+    name: "handle"
+    type: DT_STRING
+    is_ref: true
+  }
+  attr {
+    name: "component_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "shapes"
+    type: "list(shape)"
+    default_value {
+      list {
+      }
+    }
+    has_minimum: true
+  }
+  attr {
+    name: "capacity"
+    type: "int"
+    default_value {
+      i: -1
+    }
+  }
+  attr {
+    name: "container"
+    type: "string"
+    default_value {
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+  }
+  attr {
+    name: "shared_name"
+    type: "string"
+    default_value {
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+  }
+  is_stateful: true
+}
+op {
+  name: "BarrierClose"
+  input_arg {
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+    type: DT_STRING
+    is_ref: true
+  }
+  attr {
+    name: "cancel_pending_enqueues"
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+}
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+  input_arg {
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+    type: DT_STRING
+    is_ref: true
+  }
+  output_arg {
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+}
+op {
+  name: "BarrierInsertMany"
+  input_arg {
+    name: "handle"
+    type: DT_STRING
+    is_ref: true
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+  input_arg {
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+    type: DT_STRING
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+  input_arg {
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+    type_attr: "T"
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+  attr {
+    name: "T"
+    type: "type"
+  }
+  attr {
+    name: "component_index"
+    type: "int"
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+}
+op {
+  name: "BarrierReadySize"
+  input_arg {
+    name: "handle"
+    type: DT_STRING
+    is_ref: true
+  }
+  output_arg {
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+}
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+  name: "BarrierTakeMany"
+  input_arg {
+    name: "handle"
+    type: DT_STRING
+    is_ref: true
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+  input_arg {
+    name: "num_elements"
+    type: DT_INT32
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+  output_arg {
+    name: "indices"
+    type: DT_INT64
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+  output_arg {
+    name: "keys"
+    type: DT_STRING
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+  output_arg {
+    name: "values"
+    type_list_attr: "component_types"
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+  attr {
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+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
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+  attr {
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+    type: "bool"
+    default_value {
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+  attr {
+    name: "wait_for_incomplete"
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+  attr {
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+}
+op {
+  name: "Batch"
+  input_arg {
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+    type_list_attr: "T"
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+  output_arg {
+    name: "batched_tensors"
+    type_list_attr: "T"
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+  output_arg {
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+    type: DT_INT64
+  }
+  output_arg {
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+    type: DT_INT64
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+  attr {
+    name: "num_batch_threads"
+    type: "int"
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+  attr {
+    name: "max_batch_size"
+    type: "int"
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+  attr {
+    name: "max_enqueued_batches"
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+  attr {
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+  attr {
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+    type: "int"
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+  attr {
+    name: "container"
+    type: "string"
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+  attr {
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+  attr {
+    name: "batching_queue"
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+  attr {
+    name: "T"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
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+}
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+  input_arg {
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+    type_attr: "T"
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+  output_arg {
+    name: "output"
+    type_attr: "T"
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+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
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+        type: DT_FLOAT
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+  }
+  deprecation {
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+    explanation: "Use Cholesky instead."
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+}
+op {
+  name: "BatchCholeskyGrad"
+  input_arg {
+    name: "l"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "grad"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
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+  deprecation {
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+    explanation: "Use CholeskyGrad instead."
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+}
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+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
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+  input_arg {
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+    type: DT_INT64
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+  output_arg {
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+    type: DT_VARIANT
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+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
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+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
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+}
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+  input_arg {
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+    type: DT_VARIANT
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+  input_arg {
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+    type: DT_INT64
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+  input_arg {
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+  output_arg {
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+    type: DT_VARIANT
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+  attr {
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+    minimum: 1
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+  attr {
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+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
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+}
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+    type: DT_COMPLEX64
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+  output_arg {
+    name: "output"
+    type: DT_COMPLEX64
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+    explanation: "Use FFT"
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+}
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+  input_arg {
+    name: "input"
+    type: DT_COMPLEX64
+  }
+  output_arg {
+    name: "output"
+    type: DT_COMPLEX64
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+  deprecation {
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+    explanation: "Use FFT2D"
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+}
+op {
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+  input_arg {
+    name: "input"
+    type: DT_COMPLEX64
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+  output_arg {
+    name: "output"
+    type: DT_COMPLEX64
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+  deprecation {
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+}
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+  output_arg {
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+}
+op {
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+  input_arg {
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+    type: DT_COMPLEX64
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+  output_arg {
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+}
+op {
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+  output_arg {
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+}
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+  attr {
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+    type: "type"
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+        type: DT_HALF
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+        type: DT_COMPLEX64
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+  input_arg {
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+    type: "type"
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+  deprecation {
+    version: 14
+    explanation: "Use MatrixBandPart"
+  }
+}
+op {
+  name: "BatchMatrixDeterminant"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
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+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+  deprecation {
+    version: 13
+    explanation: "Use MatrixDeterminant instead."
+  }
+}
+op {
+  name: "BatchMatrixDiag"
+  input_arg {
+    name: "diagonal"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+  deprecation {
+    version: 14
+    explanation: "Use MatrixDiag"
+  }
+}
+op {
+  name: "BatchMatrixDiagPart"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "diagonal"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+  deprecation {
+    version: 14
+    explanation: "Use MatrixDiagPart"
+  }
+}
+op {
+  name: "BatchMatrixInverse"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "adjoint"
+    type: "bool"
+    default_value {
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+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_DOUBLE
+        type: DT_FLOAT
+      }
+    }
+  }
+  deprecation {
+    version: 13
+    explanation: "Use MatrixInverse instead."
+  }
+}
+op {
+  name: "BatchMatrixSetDiag"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  input_arg {
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+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+  deprecation {
+    version: 14
+    explanation: "Use MatrixSetDiag"
+  }
+}
+op {
+  name: "BatchMatrixSolve"
+  input_arg {
+    name: "matrix"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "rhs"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
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+  attr {
+    name: "adjoint"
+    type: "bool"
+    default_value {
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+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_DOUBLE
+        type: DT_FLOAT
+      }
+    }
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+  deprecation {
+    version: 13
+    explanation: "Use MatrixSolve instead."
+  }
+}
+op {
+  name: "BatchMatrixSolveLs"
+  input_arg {
+    name: "matrix"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "rhs"
+    type_attr: "T"
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+  input_arg {
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+    type: DT_DOUBLE
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+  output_arg {
+    name: "output"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
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+        type: DT_FLOAT
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+    type: "bool"
+    default_value {
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+    }
+  }
+  deprecation {
+    version: 13
+    explanation: "Use MatrixSolveLs instead."
+  }
+}
+op {
+  name: "BatchMatrixTriangularSolve"
+  input_arg {
+    name: "matrix"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "rhs"
+    type_attr: "T"
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+  output_arg {
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+    type_attr: "T"
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+  attr {
+    name: "lower"
+    type: "bool"
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+    type: "type"
+    allowed_values {
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+        type: DT_FLOAT
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+    explanation: "Use MatrixTriangularSolve instead."
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+}
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+  input_arg {
+    name: "t"
+    type_attr: "T"
+  }
+  input_arg {
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+    type_attr: "T"
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+  input_arg {
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+    type_attr: "T"
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+  input_arg {
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+    type_attr: "T"
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+  input_arg {
+    name: "gamma"
+    type_attr: "T"
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+  output_arg {
+    name: "result"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_INT32
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+        type: DT_INT16
+        type: DT_INT8
+        type: DT_COMPLEX64
+        type: DT_INT64
+        type: DT_QINT8
+        type: DT_QUINT8
+        type: DT_QINT32
+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_COMPLEX128
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
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+    type: "float"
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+  attr {
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+    type: "bool"
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+    explanation: "Use tf.nn.batch_normalization()"
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+}
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+  input_arg {
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+    type_attr: "T"
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+  input_arg {
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+    type_attr: "T"
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+    type_attr: "T"
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+    type_attr: "T"
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+  input_arg {
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+    type_attr: "T"
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+  output_arg {
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+    type_attr: "T"
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+  output_arg {
+    name: "dm"
+    type_attr: "T"
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+  output_arg {
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+    type_attr: "T"
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+  output_arg {
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+    type_attr: "T"
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+    type_attr: "T"
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+    type: "type"
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+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_UINT8
+        type: DT_INT16
+        type: DT_INT8
+        type: DT_COMPLEX64
+        type: DT_INT64
+        type: DT_QINT8
+        type: DT_QUINT8
+        type: DT_QINT32
+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_COMPLEX128
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
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+  attr {
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+  attr {
+    name: "scale_after_normalization"
+    type: "bool"
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+  deprecation {
+    version: 9
+    explanation: "Use tf.nn.batch_normalization()"
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+}
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+  name: "BatchSelfAdjointEig"
+  input_arg {
+    name: "input"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "output"
+    type_attr: "T"
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+  attr {
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+    type: "type"
+    allowed_values {
+      list {
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+        type: DT_FLOAT
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+    explanation: "Use SelfAdjointEigV2 instead."
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+}
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+  name: "BatchSelfAdjointEigV2"
+  input_arg {
+    name: "input"
+    type_attr: "T"
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+  output_arg {
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+    type_attr: "T"
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+  output_arg {
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+    type: "type"
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+        type: DT_FLOAT
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+    explanation: "Use SelfAdjointEigV2 instead."
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+}
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+  input_arg {
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+    type_attr: "T"
+  }
+  output_arg {
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+    type_attr: "T"
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+  output_arg {
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+    type_attr: "T"
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+  output_arg {
+    name: "v"
+    type_attr: "T"
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+  attr {
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+    type: "type"
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+        type: DT_FLOAT
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
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+    explanation: "Use Svd instead."
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+}
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+  input_arg {
+    name: "input"
+    type_attr: "T"
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+  input_arg {
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+    type_attr: "T"
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+  attr {
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+    type: "type"
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+  attr {
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+}
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+  input_arg {
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+  output_arg {
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+    type_attr: "T"
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+  attr {
+    name: "T"
+    type: "type"
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+  attr {
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+        type: DT_INT64
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+}
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+}
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+  attr {
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+}
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+}
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+  attr {
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+}
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+}
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+}
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+}
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+}
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+}
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+      }
+    }
+  }
+  attr {
+    name: "parallel_iterations"
+    type: "int"
+    default_value {
+      i: 10
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "WholeFileReader"
+  output_arg {
+    name: "reader_handle"
+    type: DT_STRING
+    is_ref: true
+  }
+  attr {
+    name: "container"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  attr {
+    name: "shared_name"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "WholeFileReaderV2"
+  output_arg {
+    name: "reader_handle"
+    type: DT_RESOURCE
+  }
+  attr {
+    name: "container"
+    type: "string"
+    default_value {
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+    }
+  }
+  attr {
+    name: "shared_name"
+    type: "string"
+    default_value {
+      s: ""
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "WindowDataset"
+  input_arg {
+    name: "input_dataset"
+    type: DT_VARIANT
+  }
+  input_arg {
+    name: "size"
+    type: DT_INT64
+  }
+  input_arg {
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+  input_arg {
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+  }
+  input_arg {
+    name: "drop_remainder"
+    type: DT_BOOL
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
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+    has_minimum: true
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+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+}
+op {
+  name: "WorkerHeartbeat"
+  input_arg {
+    name: "request"
+    type: DT_STRING
+  }
+  output_arg {
+    name: "response"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
+op {
+  name: "WrapDatasetVariant"
+  input_arg {
+    name: "input_handle"
+    type: DT_VARIANT
+  }
+  output_arg {
+    name: "output_handle"
+    type: DT_VARIANT
+  }
+}
+op {
+  name: "WriteAudioSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "tensor"
+    type: DT_FLOAT
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+  input_arg {
+    name: "sample_rate"
+    type: DT_FLOAT
+  }
+  attr {
+    name: "max_outputs"
+    type: "int"
+    default_value {
+      i: 3
+    }
+    has_minimum: true
+    minimum: 1
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteFile"
+  input_arg {
+    name: "filename"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "contents"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteGraphSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tensor"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteHistogramSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "values"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    default_value {
+      type: DT_FLOAT
+    }
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_INT32
+        type: DT_UINT8
+        type: DT_INT16
+        type: DT_INT8
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+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
+      }
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteImageSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "tensor"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "bad_color"
+    type: DT_UINT8
+  }
+  attr {
+    name: "max_images"
+    type: "int"
+    default_value {
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+    }
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "T"
+    type: "type"
+    default_value {
+      type: DT_FLOAT
+    }
+    allowed_values {
+      list {
+        type: DT_UINT8
+        type: DT_FLOAT
+        type: DT_HALF
+      }
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteRawProtoSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tensor"
+    type: DT_STRING
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteScalarSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "value"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
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+        type: DT_INT64
+        type: DT_BFLOAT16
+        type: DT_UINT16
+        type: DT_HALF
+        type: DT_UINT32
+        type: DT_UINT64
+      }
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "WriteSummary"
+  input_arg {
+    name: "writer"
+    type: DT_RESOURCE
+  }
+  input_arg {
+    name: "step"
+    type: DT_INT64
+  }
+  input_arg {
+    name: "tensor"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "tag"
+    type: DT_STRING
+  }
+  input_arg {
+    name: "summary_metadata"
+    type: DT_STRING
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+  is_stateful: true
+}
+op {
+  name: "Xdivy"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+}
+op {
+  name: "XlaHostCompute"
+  input_arg {
+    name: "inputs"
+    type_list_attr: "Tinputs"
+  }
+  output_arg {
+    name: "outputs"
+    type_list_attr: "Toutputs"
+  }
+  attr {
+    name: "Tinputs"
+    type: "list(type)"
+    has_minimum: true
+  }
+  attr {
+    name: "Toutputs"
+    type: "list(type)"
+    has_minimum: true
+  }
+  attr {
+    name: "ancestors"
+    type: "list(string)"
+    has_minimum: true
+  }
+  attr {
+    name: "shapes"
+    type: "list(shape)"
+    has_minimum: true
+  }
+  attr {
+    name: "shape_inference_graph"
+    type: "func"
+  }
+  attr {
+    name: "key"
+    type: "string"
+  }
+  attr {
+    name: "cost_estimate_ns"
+    type: "int"
+    default_value {
+      i: 1000000
+    }
+  }
+  attr {
+    name: "tpu_core"
+    type: "int"
+    default_value {
+      i: 0
+    }
+  }
+  is_stateful: true
+}
+op {
+  name: "XlaRecvFromHost"
+  output_arg {
+    name: "output"
+    type_attr: "Toutput"
+  }
+  attr {
+    name: "Toutput"
+    type: "type"
+  }
+  attr {
+    name: "shape"
+    type: "shape"
+  }
+  attr {
+    name: "key"
+    type: "string"
+  }
+  is_stateful: true
+}
+op {
+  name: "XlaSendToHost"
+  input_arg {
+    name: "input"
+    type_attr: "Tinput"
+  }
+  attr {
+    name: "Tinput"
+    type: "type"
+  }
+  attr {
+    name: "key"
+    type: "string"
+  }
+  is_stateful: true
+}
+op {
+  name: "Xlog1py"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+}
+op {
+  name: "Xlogy"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+}
+op {
+  name: "ZerosLike"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+  }
+}
+op {
+  name: "Zeta"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "q"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_FLOAT
+        type: DT_DOUBLE
+      }
+    }
+  }
+}
+op {
+  name: "ZipDataset"
+  input_arg {
+    name: "input_datasets"
+    type: DT_VARIANT
+    number_attr: "N"
+  }
+  output_arg {
+    name: "handle"
+    type: DT_VARIANT
+  }
+  attr {
+    name: "output_types"
+    type: "list(type)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "output_shapes"
+    type: "list(shape)"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "N"
+    type: "int"
+    has_minimum: true
+    minimum: 1
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+}
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TestTensorflowIR.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TestTensorflowIR.kt
new file mode 100644
index 000000000..409b611cb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TestTensorflowIR.kt
@@ -0,0 +1,1158 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.tensorflow
+
+import junit.framework.Assert.assertEquals
+import junit.framework.Assert.assertTrue
+import org.apache.commons.io.FileUtils
+import org.apache.commons.io.IOUtils
+import org.junit.Assert
+import org.junit.Ignore
+import org.junit.jupiter.api.Test
+import org.nd4j.common.io.ClassPathResource
+import org.nd4j.imports.graphmapper.tf.TFGraphMapper
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.api.ops.DynamicCustomOp
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.linalg.profiler.ProfilerConfig
+import org.nd4j.samediff.frameworkimport.ImportGraph
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpRegistryHolder
+import org.nd4j.samediff.frameworkimport.tensorflow.context.TensorflowMappingContext
+import org.nd4j.samediff.frameworkimport.tensorflow.definitions.registry
+import org.nd4j.samediff.frameworkimport.tensorflow.importer.TensorflowFrameworkImporter
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRGraph
+import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRGraphRunner
+import org.nd4j.shade.protobuf.TextFormat
+import org.tensorflow.framework.*
+import java.io.File
+import java.nio.charset.Charset
+import java.nio.charset.StandardCharsets
+import java.util.*
+import kotlin.collections.HashMap
+import kotlin.collections.HashSet
+
+data class GraphInput(val graphDef: GraphDef,val inputNames: List,val outputNames: List,
+                      val inputArrays: Map,val dynamicArrays: Map)
+
+class TestTensorflowIR {
+
+    val tensorflowOps =  {
+        val input = OpList.newBuilder()
+        OpDescriptorLoaderHolder.listForFramework("tensorflow").values.forEach {
+            input.addOp(it)
+        }
+
+        input.build()
+    }.invoke()
+
+
+
+    @Test
+    @Ignore
+    fun manualTest() {
+        val manualGraph = FileUtils.readFileToString(File("test.pbtxt"),Charset.defaultCharset())
+        val parsedGraph = GraphDef.newBuilder()
+       //C:\Users\agibs\.nd4jtests\resnetv2_imagenet_frozen_graph
+        TextFormat.merge(manualGraph,parsedGraph)
+        val textGraph = parsedGraph.build()
+        println(textGraph)
+        val tfImporter = TensorflowFrameworkImporter()
+        //with names [image] and shapes {image=[4, 2, 28, 28, 3]}
+        Nd4j.getEnvironment().isDebug = true
+        Nd4j.getEnvironment().isVerbose = true
+        //TFGraphMapper.importGraph(textGraph)
+        // val inputMap = mapOf("input_1" to Nd4j.zeros(10).castTo(org.nd4j.linalg.api.buffer.DataType.INT32),"input_2" to Nd4j.zeros(1,8).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE))
+        //val inputMap = mapOf("image" to Nd4j.ones(1,128,128,4))
+        /**
+         * TODO: fix emptyReduce.
+         * When we pass in 2 inputs where input 1 is the dimensions, the results
+         * work. In our model import, it appears that
+         * the empty dimensions aren't being passed down
+         * for int arguments properly.
+         * We need to figure out the difference between specifying 2 input arrays
+         * and ints, that or we need to make it so that arrays can be passed in
+         * for dimensions for each singular reduce op.
+         *
+         * Each op seems to be able to take in dimensions for indices.
+         * It *MIGHT* be better just to pass in dimensions directly.
+         */
+        val inputMap = emptyMap()
+        val tensorflowIRGraph = TensorflowIRGraph(textGraph,tensorflowOps,tfImporter.registry)
+        val outputList = tensorflowIRGraph.nodeList().map { input -> input.nodeName() }.toMutableSet()
+        val tfGraphRunner = TensorflowIRGraphRunner(tensorflowIRGraph, inputMap.keys.toList(), outputList.toList())
+        val importedGraph = TFGraphMapper.importGraph(textGraph)
+        val graph = tfImporter.importFromGraph(textGraph,inputMap)
+        val tfOutput = tfGraphRunner.run(inputMap)
+
+        /**
+         * TODO: UnsortedSegmentSum ,Solution is almost there, need to figure out how to
+         * output correct shape.
+         *
+         * Shape in TF is 5 x 5 but actual real output seems to be 1 x 10.
+         * We need to change the output shape to work like TF does.
+         */
+        val output2 = importedGraph.outputAll(inputMap)
+        val output = graph.outputAll(inputMap)
+
+
+        //assertEquals(tfOutput.keys,outputList)
+        //assertEquals(tfOutput.keys,output2.keys)
+        val names = tensorflowIRGraph.nodeList().map { input -> input.nodeName() }
+        val skipValidation = setOf("parallel_stack/ExpandDims/dim")
+        //assertEquals(output.keys,output2.keys)
+        val notEquals = HashSet()
+        val notEqualsTf = HashSet()
+        names.forEach {
+            val value = output[it]
+            val value2 = output2[it]
+            val tfValue = tfOutput[it]
+            if(value!! != (value2!!)) {
+                val oldOps = importedGraph.ops[it]
+                val newOps = graph.ops[it]
+                val oldVar = importedGraph.variables[it]
+                val newVar = graph.variables[it]
+                notEquals.add(it)
+            }
+
+            if(tfValue!! != (value!!)) {
+                val oldOps = importedGraph.ops[it]
+                val newOps = graph.ops[it]
+                val oldVar = importedGraph.variables[it]
+                val newVar = graph.variables[it]
+                notEqualsTf.add(it)
+            }
+        }
+
+        println(notEquals)
+        println(notEqualsTf)
+        println()
+        // assertEquals(output,output2)
+        //assertEquals(tfOutput,output)
+    }
+
+
+    @Test
+    @Ignore
+    fun manualTestBinary() {
+        val path = "C:\\Users\\agibs\\.nd4jtests\\resnetv2_imagenet_frozen_graph\\resnetv2_imagenet_frozen_graph.pb"
+        val bytes = FileUtils.readFileToByteArray(File(path))
+        val parsedGraph = GraphDef.parseFrom(bytes)
+        val tfImporter = TensorflowFrameworkImporter()
+        //with names [image] and shapes {image=[4, 2, 28, 28, 3]}
+        Nd4j.getEnvironment().isDebug = true
+        Nd4j.getEnvironment().isVerbose = true
+        //TFGraphMapper.importGraph(textGraph)
+        // val inputMap = mapOf("input_1" to Nd4j.zeros(10).castTo(org.nd4j.linalg.api.buffer.DataType.INT32),"input_2" to Nd4j.zeros(1,8).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE))
+        //val inputMap = mapOf("image" to Nd4j.ones(1,128,128,4))
+        /**
+         * TODO: fix emptyReduce.
+         * When we pass in 2 inputs where input 1 is the dimensions, the results
+         * work. In our model import, it appears that
+         * the empty dimensions aren't being passed down
+         * for int arguments properly.
+         * We need to figure out the difference between specifying 2 input arrays
+         * and ints, that or we need to make it so that arrays can be passed in
+         * for dimensions for each singular reduce op.
+         *
+         * Each op seems to be able to take in dimensions for indices.
+         * It *MIGHT* be better just to pass in dimensions directly.
+         */
+
+
+        //Load data
+        //Because we don't have DataVec NativeImageLoader in ND4J tests due to circular dependencies, we'll load the image previously saved...
+        var imgFile =
+         File("goldenretriever_rgb224_unnormalized_nchw_INDArray.bin")
+        var img = Nd4j.readBinary(imgFile).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+        img = img.permute(0, 2, 3, 1).dup() //to NHWC
+
+
+        //Perform inference
+
+        //Resnet v2 - NO external normalization, just resize and center crop
+        // https://github.com/tensorflow/models/blob/d32d957a02f5cffb745a4da0d78f8432e2c52fd4/research/tensorrt/tensorrt.py#L70
+        // https://github.com/tensorflow/models/blob/1af55e018eebce03fb61bba9959a04672536107d/official/resnet/imagenet_preprocessing.py#L253-L256
+
+        val importedGraph = TFGraphMapper.importGraph(parsedGraph)
+
+        //Load labels
+        val labels = labels()
+
+
+        //Perform inference
+        val inputs: List = importedGraph.inputs()
+        Assert.assertEquals(1, inputs.size.toLong())
+
+        val out = "softmax_tensor"
+        val m: Map = importedGraph.output(Collections.singletonMap(inputs[0], img), out)
+
+        val outArr = m[out]
+
+
+        println("SHAPE: " + Arrays.toString(outArr!!.shape()))
+        println(outArr)
+
+        val argmax = outArr!!.argMax(1)
+
+        //Load labels
+
+        val classIdx = argmax.getInt(0)
+        val className = labels[classIdx]
+        val expClass = "golden retriever"
+        val prob = outArr!!.getDouble(classIdx.toLong())
+
+        println("Predicted class: $classIdx - \"$className\" - probability = $prob")
+        Assert.assertEquals(expClass, className)
+
+        val inputMap = Collections.singletonMap(inputs[0], img)
+        val tensorflowIRGraph = TensorflowIRGraph(parsedGraph,tensorflowOps,tfImporter.registry)
+        val outputList = tensorflowIRGraph.nodeList().map { input -> input.nodeName() }.toMutableSet()
+        val tfGraphRunner = TensorflowIRGraphRunner(tensorflowIRGraph, inputMap.keys.toList(),listOf("batch_normalization/FusedBatchNorm",out))
+        val graph = tfImporter.importFromGraph(parsedGraph,inputMap)
+        val tfOutput = tfGraphRunner.run(inputMap)
+
+        /**
+         * TODO: UnsortedSegmentSum ,Solution is almost there, need to figure out how to
+         * output correct shape.
+         *
+         * Shape in TF is 5 x 5 but actual real output seems to be 1 x 10.
+         * We need to change the output shape to work like TF does.
+         */
+        val output2 = importedGraph.outputAll(inputMap)
+        val output = graph.outputAll(inputMap)
+
+
+        //assertEquals(tfOutput.keys,outputList)
+        //assertEquals(tfOutput.keys,output2.keys)
+        val names = tensorflowIRGraph.nodeList().map { input -> input.nodeName() }
+        val skipValidation = setOf("parallel_stack/ExpandDims/dim")
+        //assertEquals(output.keys,output2.keys)
+        val notEquals = LinkedHashSet()
+        val notEqualsTf = LinkedHashSet()
+        val notEqualsOp = LinkedHashSet()
+        names.forEach {
+            val value = output[it]
+            val value2 = output2[it]
+            val tfValue = tfOutput[it]
+            if(value!! != (value2!!)) {
+                val oldOps = importedGraph.ops[it]
+                val newOps = graph.ops[it]
+                val oldVar = importedGraph.variables[it]
+                val newVar = graph.variables[it]
+                notEquals.add(it)
+            }
+
+            if(tfValue != null && tfValue!! != (value!!)) {
+                val oldOps = importedGraph.ops[it]
+                val newOps = graph.ops[it]
+                val oldVar = importedGraph.variables[it]
+                val newVar = graph.variables[it]
+                notEqualsTf.add(it)
+            }
+
+            val oldOp = importedGraph.ops[it]
+            val newOp = graph.ops[it]
+            if(oldOp != newOp) {
+                notEqualsOp.add(it)
+            }
+
+        }
+
+        println(notEquals)
+        println(notEqualsTf)
+        println("Not equals ops $notEqualsOp")
+        println()
+        // assertEquals(output,output2)
+        //assertEquals(tfOutput,output)
+    }
+
+    @Throws(Exception::class)
+    fun labels(): List {
+        val labelsFile =
+            File("imagenet_labellist.txt")
+        return FileUtils.readLines(labelsFile, StandardCharsets.UTF_8)
+    }
+
+
+    @Test
+    @Ignore
+    fun manualTest2() {
+        val manualGraph = FileUtils.readFileToString(File("test.pbtxt"),Charset.defaultCharset())
+        val parsedGraph = GraphDef.newBuilder()
+        TextFormat.merge(manualGraph,parsedGraph)
+        val textGraph = parsedGraph.build()
+        println(textGraph)
+        val tfImporter = TensorflowFrameworkImporter()
+        //with names [image] and shapes {image=[4, 2, 28, 28, 3]}
+        val inputs = Nd4j.linspace(1,18816,18816).reshape(4, 2, 28, 28, 3)
+        val importedGraph = TFGraphMapper.importGraph(textGraph)
+        val output = importedGraph.outputAll(emptyMap())
+        println(output.entries.map { (k,v) -> "$k,${v.shapeInfoToString()}" })
+
+    }
+
+
+
+
+
+    @Test
+    fun loadModelTest() {
+        val tensorflowOpRegistry = registry()
+        val importGraph = ImportGraph()
+        val inputs = listOf("input_0", "input_1")
+        val content = IOUtils.toByteArray(ClassPathResource("lenet_frozen.pb").inputStream)
+        val graphDef = GraphDef.parseFrom(content)
+        val irGraph = TensorflowIRGraph(graphDef, tensorflowOps,tensorflowOpRegistry)
+        val importedModel = importGraph.importGraph(irGraph = irGraph,importOverride = null,opFilter = null,opMappingRegistry = OpRegistryHolder.tensorflow())
+        println(importedModel)
+    }
+
+
+    @Test
+    fun testRegistry() {
+        val tensorflowOpRegistry = registry()
+        val mappingProcess = tensorflowOpRegistry.lookupOpMappingProcess("Conv2D")
+        println(mappingProcess)
+    }
+
+
+
+    @Test
+    @Ignore
+    fun testTensorflowMappingContext() {
+        val tensorflowOpRegistry = registry()
+
+        val absOpDef = tensorflowOpRegistry.lookupOpMappingProcess("Abs")
+        val opDef = tensorflowOps.findOp("Abs")
+        val absNodeDef = NodeDef {
+            name = "input"
+            Input("input1")
+            op = "Abs"
+        }
+
+        val graph = GraphDef {
+            Node(absNodeDef)
+        }
+
+        val tfIRGraph = TensorflowIRGraph(graphDef = graph,opDef = tensorflowOps,tensorflowOpMappingRegistry = tensorflowOpRegistry)
+
+        val tfMappingCtx = TensorflowMappingContext(
+            opDef =opDef,
+            node = absNodeDef,
+            graph = tfIRGraph,dynamicVariables = HashMap())
+
+        assertEquals(opDef,tfMappingCtx.opDef)
+
+    }
+
+
+
+
+    @Test
+    fun testInputOutputNames() {
+        val tensorflowOpRegistry = registry()
+        val tensorflowOpNames = tensorflowOpRegistry.inputFrameworkOpNames()
+        val nd4jOpNames = tensorflowOpRegistry.nd4jOpNames()
+        tensorflowOpRegistry.mappingProcessNames().map {
+            tensorflowOpRegistry.lookupOpMappingProcess(it)
+        }.forEach {
+            println("Beginning processing of op ${it.inputFrameworkOpName()} and nd4j op ${it.opName()}")
+            assertTrue(tensorflowOpNames.contains(it.inputFrameworkOpName()))
+            assertTrue(nd4jOpNames.contains(it.opName()))
+            val nd4jOpDef = tensorflowOpRegistry.lookupNd4jOpDef(it.opName())
+            val tensorflowOpDef = tensorflowOpRegistry.lookupInputFrameworkOpDef(it.inputFrameworkOpName())
+            val inputNameArgDefs = nd4jOpDef.argDescriptorList.filter {
+                    argDef -> argDef.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR
+            }.map { argDef -> argDef.name }
+
+            val inputFrameworkOpDefNames = tensorflowOpDef.inputArgList.map { tfOpDef -> tfOpDef.name}
+
+            val nd4jArgDefNames = nd4jOpDef.argDescriptorList.map { nd4jArgDef -> nd4jArgDef.name }
+            val tfAttrNames = tensorflowOpDef.attrList.map { tfAttr -> tfAttr.name }
+            it.tensorMappingRules().forEach { tensorRules ->
+                println("Running tensor mapping rule ${tensorRules.name()} for op ${it.inputFrameworkOpName()} and nd4j op name ${it.opName()}")
+                run {
+                    tensorRules.mappingNamesToPerform().forEach { tensorRule ->
+                        run {
+                            println("Testing assertion for nd4j name ${tensorRule.key} and input name ${tensorRule.value}")
+                            assertTrue(inputNameArgDefs.contains(tensorRule.key)) ?: error("Failed on inputArgName ${tensorRule.key}")
+                            assertTrue(inputFrameworkOpDefNames.contains(tensorRule.value)) ?: error("Failed on inputArgName ${tensorRule.value}")
+                        }
+
+                    }
+                }
+
+            }
+
+            println("Running attribute mapping rules for ${it.opName()} and input op name ${it.inputFrameworkOpName()}")
+            it.attributeMappingRules().forEach { attrRule ->
+                run {
+                    attrRule.mappingNamesToPerform().forEach { attrMapping ->
+                        run {
+                            println("Testing nd4j name  ${attrMapping.key} and input framework name ${attrMapping.value}")
+                            assertTrue(nd4jArgDefNames.contains(attrMapping.key) || inputNameArgDefs.contains(attrMapping.key))
+                            assertTrue(tfAttrNames.contains(attrMapping.value)  || inputFrameworkOpDefNames.contains(attrMapping.value))
+                        }
+
+                    }
+                }
+            }
+
+        }
+    }
+
+
+    @Test
+    @Ignore
+    @org.junit.jupiter.api.Disabled
+    fun testOpExecution() {
+        Nd4j.getRandom().setSeed(12345)
+        Nd4j.getEnvironment().isDebug = true
+        Nd4j.getEnvironment().isVerbose = true
+        Nd4j.getEnvironment().isProfiling = true
+        val scalarInputs = mapOf(
+            "abs" to -1.0,
+            "acos" to 1.0,
+            "acosh" to 1.0,
+            "asin" to 1.0,
+            "asinh" to 1.0,
+            "atan" to 1.0,
+            "atanh" to 0.5,
+            "ceil" to 1.0,
+            "copy" to 1.0,
+            "cos" to 1.0,
+            "cosh" to 1.0,
+            "erf" to 1.0,
+            "elu" to 1.0,
+            "erfc" to 1.0,
+            "exp" to 1.0,
+            "expm1" to 1.0,
+            "floor" to 1.0,
+            "identity" to 1.0,
+            "isfinite" to 1.0,
+            "isinf" to 1.0,
+            "isnan" to 1.0,
+            //"identity_n" to 1.0,
+            "log" to 1.0,
+            "log1p" to 1.0,
+            "neg" to 1.0,
+            "ones_as" to 1.0,
+            "Reciprocal" to 1.0,
+            "rank" to 1.0,
+            "relu6" to 1.0,
+            "rint" to 1.0,
+            "round" to 1.0,
+            "rsqrt" to 1.0,
+            "sigmoid" to 1.0,
+            "sign" to 1.0,
+            "size" to 1.0,
+            "sin" to 1.0,
+            "sinh" to 1.0,
+            "square" to 1.0,
+            "sqrt" to 1.0,
+            "tan" to 1.0,
+            "tanh" to 1.0,
+            "selu" to 1.0,
+            "softsign" to 1.0,
+            "softplus" to 1.0,
+            "zeroslike" to 1.0)
+
+        val singleInputOps = scalarInputs.keys
+
+        val pairWiseInputs = mapOf(
+            "add" to listOf(1.0,1.0),
+            "divide" to listOf(1.0,1.0),
+            "greater" to listOf(1.0,1.0),
+            "less" to listOf(1.0,1.0),
+            "less_equal" to listOf(1.0,1.0),
+            "multiply" to listOf(1.0,1.0),
+            "floordiv" to listOf(1.0,1.0),
+            "mod" to listOf(1.0,1.0),
+            "squaredsubtract" to listOf(1.0,1.0),
+            "not_equals" to listOf(1.0,1.0),
+            "realdiv" to listOf(1.0,1.0),
+            "tf_atan2" to listOf(1.0,1.0),
+            "maximum" to listOf(0.0,1.0),
+            "min_pairwise" to listOf(1.0,1.0),
+            "greater_equal" to listOf(1.0,1.0),
+            "equals" to listOf(1.0,1.0),
+            "min_pairwise" to listOf(1.0,1.0),
+            "divide_no_nan" to listOf(1.0,1.0),
+            "zeta" to listOf(2.0,3.0)
+
+
+        )
+
+
+
+
+
+        /**
+         * Control flow ops
+         */
+
+        /**
+         * Random distribution ops
+         */
+
+
+        /**
+         * Creation ops
+         * Empty
+         * CopyHost
+         * Linspace
+         * OnesLike
+         */
+
+        /**
+         * Scatter ops:
+         * scatter_div
+         * scatter_add
+         * scatter_sub
+         * scatter_min
+         * scatter_mul
+         * scatter_update
+         * scatter_nd
+         * scatter_nd_add
+         * scatter_nd_sub
+         * scatter_nd_update
+         */
+
+
+
+
+        val pairWiseIntOps = mapOf(
+            "fmod" to listOf(1,1),
+            "rshift_bits" to listOf(1,1),
+            "truncatediv" to listOf(1,1),
+            "bitwise_and" to listOf(1,1),
+            "bitwise_or" to listOf(1,1),
+            "bitwise_xor" to listOf(1,1),
+            "shift_bits" to listOf(1,1)
+        )
+
+        val pairWiseNames = pairWiseInputs.keys
+
+
+        val booleanReduceOps = mapOf(
+            "all" to Nd4j.create(listOf(true,false,true,false).toBooleanArray()).reshape(2,2),
+            "any" to Nd4j.create(listOf(true,false,true,false).toBooleanArray()).reshape(2,2)
+        )
+
+        val singularReduceOps = mapOf(
+            "reduce_mean" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_prod" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_min" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_sum" to Nd4j.linspace(1,4,4).reshape(2,2),
+            "reduce_max" to Nd4j.linspace(1,4,4).reshape(2,2)
+        )
+
+
+
+
+        val mappedOps = setOf(
+            "Assert",
+            "gather_nd",
+            "lstmBlock",
+            "lstmBlockCell",
+            "cast",
+            "gruCell",
+            "igamma",
+            "igammac",
+            "lgamma",
+            "mergeadd",
+            "reduce_logsumexp",
+            "check_numerics",
+            "adjust_hue",
+            "adjust_saturation",
+            "adjust_contrast_v2",
+            "reverse_sequence",
+            "depthwise_conv2d",
+            "resize_nearest_neighbor",
+            "scatter_nd",
+            "resize_area",
+            "rgb_to_hsv",
+            "resize_bicubic",
+            "resize_bilinear",
+            "listdiff",
+            "mirror_pad",
+            "histogram_fixed_width",
+            "extract_image_patches",
+            "ClipByValue",
+            "crop_and_resize",
+            "broadcast_dynamic_shape",
+            "broadcastgradientargs",
+            "lrn",
+            "batch_to_space_nd",
+            "space_to_batch_nd",
+            "draw_bounding_boxes",
+            "fused_batch_norm",
+            "conv3dnew",
+            "avgpool3dnew",
+            "maxpool3dnew",
+            "create",
+            "slice",
+            "strided_slice",
+            "select",
+            "compare_and_bitpack",
+            "bincount",
+            "broadcast_to",
+            "biasadd",
+            "condition",
+            "avgpool2d",
+            "maxpool2d",
+            "conv2d",
+            "dilation2d",
+            "batch_to_space",
+            "space_to_batch",
+            "dynamic_partition",
+            "dynamic_stitch",
+            "softmax",
+            "mergesum",
+            "matrix_set_diag",
+            "matrix_diag_part",
+            "identity_n",
+            "split",
+            "split_v",
+            "shapes_of",
+            "squeeze",
+            "bitcast",
+            "merge_sum",
+            "tile",
+            "matmul",
+            "range",
+            "lin_space",
+            "gather",
+            "betainc",
+            "concat",
+            "stack",
+            "unstack",
+            "merge",
+            "leakyrelu",
+            "shape_of",
+            "roll",
+            "reverse",
+            "relu",
+            "relu6",
+            "argmin",
+            "argmax",
+            "cross",
+            "cumsum",
+            "cumprod",
+            "diag",
+            "diag_part",
+            "digamma",
+            "depth_to_space",
+            "expand_dims",
+            "toggle_bits",
+            "invert_permutation",
+            //"enter", TODO: deal with frames or maybe ignore?
+            //"exit",
+            "in_top_k",
+            "top_k",
+            "lu",
+            "matrix_inverse",
+            "matrix_determinant",
+            "solve",
+            "triangular_solve",
+            "log_matrix_determinant",
+            "cholesky",
+            "reshape",
+            "noop",
+            "nth_element",
+            "non_max_suppression_overlaps",
+            "non_max_suppression",
+            "non_max_suppression_v3",
+            "onehot",
+            "pad",
+            "pow",
+            "transpose",
+            "space_to_depth",
+            "Where",
+            "unsorted_segment_max",
+            "unsorted_segment_min",
+            "unsorted_segment_prod",
+            "unsorted_segment_sum",
+            "unique_with_counts",
+            "unique",
+            "boolean_and",
+            "boolean_not",
+            "boolean_or",
+            "segment_mean",
+            "segment_min",
+            "segment_max",
+            "segment_prod",
+            "segment_sum"
+
+            //"scatter_add", Skipping due to different op validation
+            //"scatter_sub", Skipping due to different op validation
+            //"scatter_update", Skipping due to different op validation
+            //"scatter_nd" Skipping due to different op validation
+        )
+
+
+
+
+        //Skipping due to using references rather than tensors
+        //"scatter_nd_add",
+        //"scatter_nd_sub",
+        // "scatter_nd_update"
+        // //"scatter_min",
+        //            //"scatter_mul",)
+
+        val singularReduceNames = singularReduceOps.keys
+        val testedOps = HashSet()
+        //skip testing control flow
+        val controlFlowOps = setOf("Switch","While","placeholder","next_iteration","enter","exit","loop_cond")
+        val resourceOps = setOf("stack_list","size_list","scatter_list","read_list","split_list","gather_list")
+        val refOps = setOf("assign","scatter_add","scatter_sub","scatter_update")
+        val randomOps = setOf("random_gamma","random_crop","random_normal","random_poisson","random_shuffle","randomuniform")
+        testedOps.addAll(randomOps)
+        testedOps.addAll(controlFlowOps)
+        testedOps.addAll(resourceOps)
+        testedOps.addAll(refOps)
+        val importGraph = ImportGraph()
+        val tensorflowOpRegistry = registry()
+        tensorflowOpRegistry.mappingProcessNames().map { name ->
+            tensorflowOpRegistry.lookupOpMappingProcess(name)
+        }.forEach { mappingProcess ->
+            val nd4jOpDef = tensorflowOpRegistry.lookupNd4jOpDef(mappingProcess.opName())
+            val tensorflowOpDef = tensorflowOpRegistry.lookupInputFrameworkOpDef(mappingProcess.inputFrameworkOpName())
+
+            if(singleInputOps.contains(nd4jOpDef.name) && tensorflowOpDef.name != "Variable" && tensorflowOpDef.name != "VariableV2" && tensorflowOpDef.name != "Const") {
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("x")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                }
+                val tensorflowGraph = TensorflowIRGraph(graphDef, tensorflowOps,tensorflowOpRegistry)
+                val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,HashMap(),OpRegistryHolder.tensorflow()).enableDebugMode()!!
+                Nd4j.getExecutioner().setProfilingConfig(ProfilerConfig.builder()
+                    .stackTrace(true).build())
+                val xVal =  Nd4j.scalar(scalarInputs[mappingProcess.opName()]).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                val tensorflowRunner = TensorflowIRGraphRunner(irGraph =   tensorflowGraph,inputNames = listOf("x"),outputNames = listOf("output"))
+                val inputs = mapOf("x" to xVal)
+                if(!mappedGraph.hasVariable("output"))
+                    throw IllegalStateException("No output variable found. Variables include ${mappedGraph.variables}")
+                val tfResults = tensorflowRunner.run(inputs)
+                val results = mappedGraph.output(inputs,"output")
+                val tfOutput = tfResults["output"]!!
+                assertTrue(tfOutput.isScalar)
+                val nd4jOutput = results["output"]!!
+                assertTrue(nd4jOutput.isScalar)
+                assertEquals("Function ${nd4jOpDef.name} failed with input $xVal",nd4jOutput.getDouble(0), tfOutput.getDouble(0),1e-3)
+                testedOps.add(nd4jOpDef.name)
+            }
+            else if(singularReduceNames.contains(nd4jOpDef.name)) {
+                listOf(listOf(0),listOf(-1),listOf(0,1)).forEach { dimensions ->
+                    listOf(true,false).forEach { keepDim ->
+                        val tensorNode = NodeDef {
+                            name = "x"
+                            op = "Placeholder"
+                            Attribute("dtype",AttrValue {
+                                type = DataType.DT_DOUBLE
+                            })
+                        }
+
+                        val opNode = NodeDef {
+                            Input("x")
+                            Input("dimensions")
+                            op = tensorflowOpDef.name
+                            name = "output"
+                            Attribute("T",AttrValue {
+                                type = DataType.DT_DOUBLE
+                            })
+                            Attribute("Tidx",AttrValue {
+                                type = DataType.DT_INT32
+                            })
+                            Attribute("keep_dims",AttrValue {
+                                b = keepDim
+                            })
+                        }
+
+                        val tensorNode2 = NodeDef {
+                            op = "Const"
+                            name = "dimensions"
+                            Attribute("value",AttrValue {
+                                tensor = TensorProto {
+                                    Int32Data(dimensions)
+                                    dtype = DataType.DT_INT32
+                                    tensorShape = TensorShapeProto {
+                                        Dims(listOf(1,dimensions.size.toLong()))
+                                    }
+                                }
+                            })
+                            Attribute("dtype",AttrValue {
+                                type = DataType.DT_INT32
+                            })
+                        }
+
+                        val graphDef = GraphDef {
+                            Node(tensorNode)
+                            Node(tensorNode2)
+                            Node(opNode)
+                        }
+
+                        val mappingProcess = tensorflowOpRegistry.lookupOpMappingProcess(tensorflowOpDef.name)
+                        val tensorflowGraph = TensorflowIRGraph(graphDef, tensorflowOps,tensorflowOpRegistry)
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,HashMap(),tensorflowOpRegistry)!!
+                        val xVal =  singularReduceOps[mappingProcess.opName()]!!.castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =   tensorflowGraph,inputNames = listOf("x"),outputNames = listOf("output"))
+                        val inputs = mapOf("x" to xVal)
+                        val results = mappedGraph.output(inputs,"output")
+                        val tfResults = tensorflowRunner.run(inputs)
+                        //2 dimensions means sum the whole array, sometimes there are subtle differences in the shape like 1,1 vs a zero length array which is effectively the same thing
+                        if(dimensions.size < 2)
+                            assertEquals("Function ${nd4jOpDef.name} failed with input $xVal and dimension ${dimensions}",tfResults["output"]!!, results["output"]!!)
+                        else
+                            assertEquals("Function ${nd4jOpDef.name} failed with input $xVal and dimension ${dimensions}",tfResults["output"]!!.reshape(1,1), results["output"]!!.reshape(1,1))
+
+                    }
+
+                }
+
+                testedOps.add(nd4jOpDef.name)
+
+            } else if(booleanReduceOps.keys.contains(nd4jOpDef.name)) {
+                listOf(listOf(0),listOf(-1),listOf(0,1)).forEach { dimensions ->
+                    listOf(true,false).forEach { keepDim ->
+                        val tensorNode = NodeDef {
+                            name = "x"
+                            op = "Placeholder"
+                            Attribute("dtype",AttrValue {
+                                type = DataType.DT_BOOL
+                            })
+                        }
+
+                        val opNode = NodeDef {
+                            Input("x")
+                            Input("dimensions")
+                            op = tensorflowOpDef.name
+                            name = "output"
+
+                            Attribute("Tidx",AttrValue {
+                                type = DataType.DT_INT32
+                            })
+                            Attribute("keep_dims",AttrValue {
+                                b = keepDim
+                            })
+                        }
+
+                        val tensorNode2 = NodeDef {
+                            op = "Const"
+                            name = "dimensions"
+                            Attribute("value",AttrValue {
+                                tensor = TensorProto {
+                                    Int32Data(dimensions)
+                                    dtype = DataType.DT_INT32
+                                    tensorShape = TensorShapeProto {
+                                        Dims(listOf(1,dimensions.size.toLong()))
+                                    }
+                                }
+                            })
+                            Attribute("dtype",AttrValue {
+                                type = DataType.DT_INT32
+                            })
+                        }
+
+                        val graphDef = GraphDef {
+                            Node(tensorNode)
+                            Node(tensorNode2)
+                            Node(opNode)
+                        }
+
+                        val mappingProcess = tensorflowOpRegistry.lookupOpMappingProcess(tensorflowOpDef.name)
+                        val tensorflowGraph = TensorflowIRGraph(graphDef, tensorflowOps,tensorflowOpRegistry)
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,HashMap(),OpRegistryHolder.tensorflow())!!
+                        val xVal =  booleanReduceOps[mappingProcess.opName()]!!
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =   tensorflowGraph,inputNames = listOf("x"),outputNames = listOf("output"))
+                        val inputs = mapOf("x" to xVal)
+                        val results = mappedGraph.output(inputs,"output")
+                        val tfResults = tensorflowRunner.run(inputs)
+                        //2 dimensions means sum the whole array, sometimes there are subtle differences in the shape like 1,1 vs a zero length array which is effectively the same thing
+                        if(dimensions.size < 2)
+                            assertEquals("Function ${nd4jOpDef.name} failed with input $xVal and dimension ${dimensions}",tfResults["output"]!!, results["output"]!!)
+                        else
+                            assertEquals("Function ${nd4jOpDef.name} failed with input $xVal and dimension ${dimensions}",tfResults["output"]!!.reshape(1,1), results["output"]!!.reshape(1,1))
+
+                    }
+
+                }
+
+                testedOps.add(nd4jOpDef.name)
+
+            } else if(pairWiseNames.contains(nd4jOpDef.name)) {
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val tensorNode2 = NodeDef {
+                    op = "Placeholder"
+                    name = "y"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("y")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                    Node(tensorNode2)
+                }
+
+                val mappingProcess = tensorflowOpRegistry.lookupOpMappingProcess(tensorflowOpDef.name)
+                val tensorflowGraph = TensorflowIRGraph(graphDef, tensorflowOps,tensorflowOpRegistry)
+                val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicVariables = hashMapOf("y" to TensorProto {
+                    dtype = DataType.DT_DOUBLE
+                    DoubleData(listOf(1.0))
+                    Shape(listOf(1,1))
+                }),OpRegistryHolder.tensorflow())!!
+
+                val xVal =  Nd4j.scalar(pairWiseInputs[mappingProcess.opName()]!![0])
+                    .reshape(1,1)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                val yVal =  Nd4j.scalar(pairWiseInputs[mappingProcess.opName()]!![1])
+                    .reshape(1,1)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val tensorflowRunner = TensorflowIRGraphRunner(irGraph =   tensorflowGraph,inputNames = listOf("x","y"),outputNames = listOf("output"))
+                val inputs = mapOf("x" to xVal,"y" to yVal)
+                val results = mappedGraph.output(inputs,"output")
+                val tfResults = tensorflowRunner.run(inputs)
+                assertEquals("Function ${nd4jOpDef.name} failed with input $xVal",tfResults["output"]!!.reshape(1,1), results["output"]!!.reshape(1,1))
+                testedOps.add(nd4jOpDef.name)
+
+            } else if(pairWiseIntOps.contains(nd4jOpDef.name)) {
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val tensorNode2 = NodeDef {
+                    op = "Placeholder"
+                    name = "y"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("y")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                    Node(tensorNode2)
+                }
+
+                val tensorflowGraph = TensorflowIRGraph(graphDef, tensorflowOps,tensorflowOpRegistry)
+                val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,HashMap(),OpRegistryHolder.tensorflow())!!
+                val xVal =  Nd4j.scalar(pairWiseIntOps[mappingProcess.opName()]!![0])
+                    .reshape(1,1)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+                val yVal =  Nd4j.scalar(pairWiseIntOps[mappingProcess.opName()]!![1])
+                    .reshape(1,1)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+                val tensorflowRunner = TensorflowIRGraphRunner(irGraph =   tensorflowGraph,inputNames = listOf("x","y"),outputNames = listOf("output"))
+                val inputs = mapOf("x" to xVal,"y" to yVal)
+                val results = mappedGraph.output(inputs,"output")
+                val tfResults = tensorflowRunner.run(inputs)
+                assertEquals("Function ${nd4jOpDef.name} failed with input $xVal",tfResults["output"]!!.reshape(1,1), results["output"]!!.reshape(1,1))
+                testedOps.add(nd4jOpDef.name)
+
+            } else if(mappedOps.contains(mappingProcess.opName())) {
+                val graphInputList = graphForOp(nd4jOpName = mappingProcess.opName(),inputFrameworkOpName = mappingProcess.inputFrameworkOpName())
+                graphInputList.forEach { graphInput ->
+                    val tensorflowGraph = TensorflowIRGraph(graphInput.graphDef, tensorflowOps,tensorflowOpRegistry)
+                    val dynamicOpsMap = HashMap()
+                    graphInput.inputArrays.forEach { k, v ->
+                        dynamicOpsMap[k] = convertNDArrayToTensorflowTensor(v)
+                    }
+
+                    //NOTE: The output name here is different than the output names from samediff because we want every array from tensorflow for assertion purposes.
+                    //The outputs from samediff might be slightly different (eg: not have every output tensorflow does or more)
+
+                    //tf2 ops don't currently work in nd4j-tensorflow and can't be verified
+                    val tf2Ops = setOf("CheckNumericsV2","FusedBatchNormV3","ParallelConcat","FusedBatchNorm","FusedBatchNormV2")
+                    //these ops reflect ops that should generally be tested other ways and are usually tested down below
+                    val bannedOps = setOf("noop","unique","unique_with_counts","matrix_determinant","log_matrix_determinant","Assert","split_v","identity_n","dynamic_partition","dynamic_stitch","draw_bounding_boxes","fused_batch_norm")
+                    if(!bannedOps.contains(mappingProcess.opName()) && !tf2Ops.contains(mappingProcess.inputFrameworkOpName())) {
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+
+
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+
+                        val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                        val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                        if(mappingProcess.opName() == "bincount") {
+                            val inputVal = Nd4j.create(doubleArrayOf(1.0, 2.0, 0.0, 1.0, 2.0, 2.0, 1.0, 2.0))
+                                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+                            val sizeVal = Nd4j.create(doubleArrayOf(3.0))
+                                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+                            val weightVal = Nd4j.create(doubleArrayOf(1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0))
+                                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                            println(Nd4j.getExecutioner().exec(DynamicCustomOp.builder("bincount").addInputs(inputVal,weightVal).addIntegerArguments(0,3).build())[0])
+                            println()
+                        }
+                        assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames} " +
+                                "with tfValue of shape ${tfResults.values.first().shapeInfoToString()} and nd4j ${results.values.first().shapeInfoToString()} and ${graphInput}"
+                            ,tfResults.values.first(), results.values.first())
+                    } else if(mappingProcess.opName() == "unique_with_counts" || mappingProcess.opName() == "unique") {
+                        //note: this is a separate case since the results are equal, minus dimensions
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+
+
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+
+                        val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                        val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                        assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames}",tfResults.values.first().ravel(), results.values.first().ravel())
+                    }//slight difference in scalar result, doesn't matter in practice
+                    else if(mappingProcess.opName() == "matrix_determinant" || mappingProcess.opName() == "log_matrix_determinant") {
+                        //note: this is a separate case since the results are equal, minus dimensions
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+
+
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+
+                        if(mappingProcess.opName() == "matrix_determinant") {
+                            val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                            val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                            assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames}",tfResults["output"]!!.ravel().getDouble(0), results["output"]!!.ravel().getDouble(0),1e-3)
+
+                        }
+                    }
+                    else if(mappingProcess.opName() == "split_v" || mappingProcess.opName() == "identity_n" || mappingProcess.opName() == "dynamic_partition"|| mappingProcess.opName() == "dynamic_stitch") {
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+
+
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+
+                        val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                        val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                        assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames}",tfResults, results)
+
+                    } else if(mappingProcess.opName() == "draw_bounding_boxes") {
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+                        val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                        val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                        assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames}",tfResults, results)
+
+                    }
+                    else if(mappingProcess.opName() == "fused_batch_norm" && !tf2Ops.contains(mappingProcess.inputFrameworkOpName())) {
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+
+
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+
+                        val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                        val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                        assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames}",tfResults["y"], results["y"])
+
+                    }
+
+                    else  if(!bannedOps.contains(mappingProcess.opName()) && !tf2Ops.contains(mappingProcess.inputFrameworkOpName())) {
+                        //note that log outputs 2 results and the 2nd one is the one we need. The first result is a sign.
+                        val tensorflowRunner = TensorflowIRGraphRunner(irGraph =  tensorflowGraph,inputNames = graphInput.inputNames,outputNames = graphInput.outputNames)
+
+
+                        val mappedGraph = importGraph.importGraph(tensorflowGraph,null,null,dynamicOpsMap,OpRegistryHolder.tensorflow())
+                        assertEquals("Input name mismatch with input array elements",graphInput.inputArrays.keys,graphInput.inputNames.toSet())
+
+                        val tfResults = tensorflowRunner.run(graphInput.inputArrays)
+                        val results = mappedGraph!!.output(graphInput.inputArrays,graphInput.outputNames)
+                        assertEquals("Function ${nd4jOpDef.name} failed with input ${graphInput.inputNames}",tfResults["finalResult"]!!.ravel().getDouble(0), results["finalResult"]!!.ravel().getDouble(0),1e-3)
+
+                    }
+
+                }
+
+                testedOps.add(nd4jOpDef.name)
+
+            }
+        }
+
+        val differenceOfSet = tensorflowOpRegistry.mappedNd4jOpNames() - testedOps
+        println("Ops left to test is ${differenceOfSet.size} and ops are $differenceOfSet with total ops ran ${testedOps.size}")
+        println("Note we skipped ${controlFlowOps.size} testing control flow ops named $controlFlowOps")
+        println("Note we skipped ${resourceOps.size} testing resource ops named $resourceOps due to resources being handled differently than normal tensors")
+        println("Note we skipped ${refOps.size} testing resource ops named $refOps due to references being handled differently than normal tensors")
+        println("Note we skipped ${randomOps.size} testing resource ops named $randomOps due to random not being consistently testable. This may change in the short term.")
+
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TestTensorflowUtils.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TestTensorflowUtils.kt
new file mode 100644
index 000000000..62222d701
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/TestTensorflowUtils.kt
@@ -0,0 +1,7814 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.tensorflow
+
+
+import org.apache.commons.io.IOUtils
+import org.junit.jupiter.api.Test
+import org.nd4j.autodiff.samediff.SameDiff
+import org.nd4j.common.io.ClassPathResource
+import org.nd4j.ir.OpNamespace
+import org.nd4j.linalg.api.ndarray.INDArray
+import org.nd4j.linalg.api.ops.DynamicCustomOp
+import org.nd4j.linalg.api.ops.impl.transforms.BinCount
+import org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt
+import org.nd4j.linalg.factory.Nd4j
+import org.nd4j.linalg.profiler.ProfilerConfig
+import org.nd4j.samediff.frameworkimport.tensorflow.definitions.registry
+import org.nd4j.shade.protobuf.ByteString
+import org.nd4j.tensorflow.conversion.graphrunner.GraphRunner
+import org.tensorflow.framework.*
+import java.lang.IllegalStateException
+import java.nio.charset.Charset
+import kotlin.math.max
+
+fun graphForOp(nd4jOpName: String,inputFrameworkOpName: String): List {
+    val tensorflowOpDef = registry().lookupInputFrameworkOpDef(inputFrameworkOpName)
+    when (nd4jOpName) {
+        "check_numerics" -> {
+            val tensor = NodeDef {
+                name = "tensor"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("tensor")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("message",AttrValue {
+                    s = ByteString.copyFrom("test message".toByteArray(Charset.defaultCharset()))
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(tensor)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.create(floatArrayOf(1.0f,2.0f,3.0f))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("tensor" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("tensor"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "gruCell" -> {
+            val x = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val hPrev = NodeDef {
+                name = "h_prev"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val wRu = NodeDef {
+                name = "w_ru"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val wC = NodeDef {
+                name = "w_c"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val bRu = NodeDef {
+                name = "b_ru"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val bc = NodeDef {
+                name = "b_c"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("x")
+                Input("h_prev")
+                Input("w_ru")
+                Input("w_c")
+                Input("b_ru")
+                Input("b_c")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val r = NodeDef {
+                name = "r"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val u = NodeDef {
+                name = "u"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val c = NodeDef {
+                name = "c"
+                Input("output:2")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val h = NodeDef {
+                name = "h"
+                Input("output:3")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(x)
+                Node(hPrev)
+                Node(wRu)
+                Node(wC)
+                Node(bRu)
+                Node(bc)
+                Node(opNode)
+                Node(r)
+                Node(u)
+                Node(c)
+                Node(h)
+            }
+
+
+
+
+            val xVal = Nd4j.linspace(1,20,20).reshape(2,10)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val hPrevVal = Nd4j.linspace(1,8,8).reshape(2,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val wRuVal = Nd4j.linspace(1,112,112).reshape(14,8)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val wcVal = Nd4j.linspace(1,56,56).reshape(14,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val bRuVal = Nd4j.linspace(1,8,8).reshape(8)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val bcVal = Nd4j.linspace(1,4,4).reshape(4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("x" to xVal,"h_prev" to hPrevVal,"w_ru" to wRuVal,"w_c" to wcVal,"b_ru" to bRuVal,"b_c" to bcVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("x","h_prev","w_ru","w_c","b_ru","b_c"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "lstmBlockCell" -> {
+            val x = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val csPrev = NodeDef {
+                name = "cs_prev"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val hPrev = NodeDef {
+                name = "h_prev"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val w = NodeDef {
+                name = "w"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val wci = NodeDef {
+                name = "wci"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val wcf = NodeDef {
+                name = "wcf"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val wco = NodeDef {
+                name = "wco"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val bias = NodeDef {
+                name = "b"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("x")
+                Input("cs_prev")
+                Input("h_prev")
+                Input("w")
+                Input("wci")
+                Input("wcf")
+                Input("wco")
+                Input("b")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("forget_bias",AttrValue {
+                    f = 2.0f
+                })
+
+                Attribute("use_peephole",AttrValue {
+                    b = false
+                })
+            }
+
+
+            val i = NodeDef {
+                name = "i"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val cs = NodeDef {
+                name = "cs"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val f = NodeDef {
+                name = "f"
+                Input("output:2")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val o = NodeDef {
+                name = "o"
+                Input("output:3")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val ci = NodeDef {
+                name = "ci"
+                Input("output:4")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val h = NodeDef {
+                name = "h"
+                Input("output:5")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(x)
+                Node(csPrev)
+                Node(hPrev)
+                Node(w)
+                Node(wci)
+                Node(wcf)
+                Node(wco)
+                Node(bias)
+                Node(opNode)
+                Node(i)
+                Node(cs)
+                Node(f)
+                Node(o)
+                Node(ci)
+                Node(h)
+            }
+
+
+
+
+            val xVal = Nd4j.linspace(1,5,5).reshape(1,5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val csPrevVal = Nd4j.linspace(1,3,3).reshape(1,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val hPrevVal = Nd4j.linspace(1,3,3).reshape(1,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val wVal = Nd4j.linspace(1,96,96).reshape(8,12)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val wciVal = Nd4j.linspace(1,3,3).reshape(3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val wcfVal = Nd4j.linspace(1,3,3).reshape(3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val wcoVal = Nd4j.linspace(1,3,3).reshape(3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val bVal = Nd4j.zeros(12)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+
+
+            val inputs = mapOf("x" to xVal,"cs_prev" to csPrevVal,"h_prev" to hPrevVal,"w" to wVal,"wci" to wciVal,"wcf" to wcfVal,"wco" to wcoVal,"b" to bVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("x","cs_prev","h_prev","w","wci","wcf","wco","b"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "lstmBlock" -> {
+            if(inputFrameworkOpName == "BlockLSTM") {
+                val seqLenMax = NodeDef {
+                    name = "seq_len_max"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val x = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val csPrev = NodeDef {
+                    name = "cs_prev"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val hPrev = NodeDef {
+                    name = "h_prev"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val w = NodeDef {
+                    name = "w"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val wci = NodeDef {
+                    name = "wci"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val wcf = NodeDef {
+                    name = "wcf"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val wco = NodeDef {
+                    name = "wco"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val bias = NodeDef {
+                    name = "b"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("seq_len_max")
+                    Input("x")
+                    Input("cs_prev")
+                    Input("h_prev")
+                    Input("w")
+                    Input("wci")
+                    Input("wcf")
+                    Input("wco")
+                    Input("b")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                    Attribute("forget_bias", AttrValue {
+                        f = 2.0f
+                    })
+                    Attribute("forget_bias", AttrValue {
+                        f = 3.0f
+                    })
+                    Attribute("use_peephole", AttrValue {
+                        b = false
+                    })
+                }
+
+
+                val i = NodeDef {
+                    name = "i"
+                    Input("output:0")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val cs = NodeDef {
+                    name = "cs"
+                    Input("output:1")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val f = NodeDef {
+                    name = "f"
+                    Input("output:2")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val o = NodeDef {
+                    name = "o"
+                    Input("output:3")
+                    op = "Identity"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val ci = NodeDef {
+                    name = "ci"
+                    Input("output:4")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val h = NodeDef {
+                    name = "h"
+                    Input("output:5")
+                    op = "Identity"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val graphDef = GraphDef {
+                    Node(seqLenMax)
+                    Node(x)
+                    Node(csPrev)
+                    Node(hPrev)
+                    Node(w)
+                    Node(wci)
+                    Node(wcf)
+                    Node(wco)
+                    Node(bias)
+                    Node(opNode)
+                    Node(i)
+                    Node(cs)
+                    Node(f)
+                    Node(o)
+                    Node(ci)
+                    Node(h)
+                }
+
+
+
+                val seqLenVal = Nd4j.scalar(5.0)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+                val xVal = Nd4j.linspace(1,20,20).reshape(5,1,4)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val csPrevVal = Nd4j.linspace(1,3,3).reshape(1,3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val hPrevVal = Nd4j.linspace(1,3,3).reshape(1,3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val wVal = Nd4j.linspace(1,84,84).reshape(7,12)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val wciVal = Nd4j.linspace(1,3,3).reshape(3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val wcfVal = Nd4j.linspace(1,3,3).reshape(3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+                val wcoVal = Nd4j.linspace(1,3,3).reshape(3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+                val bVal = Nd4j.zeros(12)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+
+
+                val inputs = mapOf("seq_len_max" to seqLenVal,"x" to xVal,"cs_prev" to csPrevVal,"h_prev" to hPrevVal,"w" to wVal,"wci" to wciVal,"wcf" to wcfVal,"wco" to wcoVal,"b" to bVal)
+
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("seq_len_max","x","cs_prev","h_prev","w","wci","wcf","wco","b"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else { //BlockLSTMV2
+                val seqLenMax = NodeDef {
+                    name = "seq_len_max"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val x = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val csPrev = NodeDef {
+                    name = "cs_prev"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val hPrev = NodeDef {
+                    name = "h_prev"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val w = NodeDef {
+                    name = "w"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val wci = NodeDef {
+                    name = "wci"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val wcf = NodeDef {
+                    name = "wcf"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val wco = NodeDef {
+                    name = "wco"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val bias = NodeDef {
+                    name = "b"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("seq_len_max")
+                    Input("x")
+                    Input("cs_prev")
+                    Input("h_prev")
+                    Input("w")
+                    Input("wci")
+                    Input("wcf")
+                    Input("wco")
+                    Input("b")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+
+                    Attribute("use_peephole", AttrValue {
+                        b = false
+                    })
+                }
+
+
+                val i = NodeDef {
+                    name = "i"
+                    Input("output:0")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val cs = NodeDef {
+                    name = "cs"
+                    Input("output:1")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val f = NodeDef {
+                    name = "f"
+                    Input("output:2")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val o = NodeDef {
+                    name = "o"
+                    Input("output:3")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val ci = NodeDef {
+                    name = "ci"
+                    Input("output:4")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val h = NodeDef {
+                    name = "h"
+                    Input("output:5")
+                    op = "Identity"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val graphDef = GraphDef {
+                    Node(seqLenMax)
+                    Node(x)
+                    Node(csPrev)
+                    Node(hPrev)
+                    Node(w)
+                    Node(wci)
+                    Node(wcf)
+                    Node(wco)
+                    Node(bias)
+                    Node(opNode)
+                    Node(i)
+                    Node(cs)
+                    Node(f)
+                    Node(o)
+                    Node(ci)
+                    Node(h)
+                }
+
+
+
+                val seqLenVal = Nd4j.scalar(5.0)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+                val xVal = Nd4j.linspace(1,20,20).reshape(5,1,4)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val csPrevVal = Nd4j.linspace(1,3,3).reshape(1,3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val hPrevVal = Nd4j.linspace(1,3,3).reshape(1,3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val wVal = Nd4j.linspace(1,84,84).reshape(7,12)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val wciVal = Nd4j.linspace(1,3,3).reshape(3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val wcfVal = Nd4j.linspace(1,3,3).reshape(3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+                val wcoVal = Nd4j.linspace(1,3,3).reshape(3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+                val bVal = Nd4j.zeros(12)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+
+
+                val inputs = mapOf("seq_len_max" to seqLenVal,"x" to xVal,"cs_prev" to csPrevVal,"h_prev" to hPrevVal,"w" to wVal,"wci" to wciVal,"wcf" to wcfVal,"wco" to wcoVal,"b" to bVal)
+
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("seq_len_max","x","cs_prev","h_prev","w","wci","wcf","wco","b"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+        }
+
+
+
+        "adjust_hue","adjust_saturation" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val delta = NodeDef {
+                name = "delta"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("delta")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(delta)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.zeros(3,3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val deltaVal = Nd4j.scalar(0.5).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val inputs = mapOf("input" to xVal,"delta" to deltaVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","delta"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "adjust_contrast_v2" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val delta = NodeDef {
+                name = "contrast_factor"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("contrast_factor")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(delta)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.zeros(3,3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val deltaVal = Nd4j.scalar(0.5).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val inputs = mapOf("input" to xVal,"contrast_factor" to deltaVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","contrast_factor"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "rgb_to_hsv" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.zeros(3,3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("input" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "reverse_sequence" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val seqLengths = NodeDef {
+                name = "seq_lengths"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("seq_lengths")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("Tlen",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("seq_dim",AttrValue {
+                    i = 2
+                })
+                Attribute("batch_dim",AttrValue {
+                    i = 1
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(seqLengths)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.linspace(1,60,60).reshape(3,4,5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val yVal = Nd4j.create(floatArrayOf(4f,4f,4f,4f))
+                .reshape(4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+            val inputs = mapOf("input" to xVal,"seq_lengths" to yVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","seq_lengths"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+        "resize_nearest_neighbor" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val size = NodeDef {
+                name = "size"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("images")
+                Input("size")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(images)
+                Node(size)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.linspace(1,36,36).reshape(1,3,3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val yVal = Nd4j.create(floatArrayOf(6f,6f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+            val inputs = mapOf("images" to xVal,"size" to yVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images","size"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+        "resize_bilinear" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val size = NodeDef {
+                name = "size"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("images")
+                Input("size")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(images)
+                Node(size)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.linspace(1,36,36).reshape(1,3,3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val yVal = Nd4j.create(floatArrayOf(6f,6f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+            val inputs = mapOf("images" to xVal,"size" to yVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images","size"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "resize_bicubic" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val size = NodeDef {
+                name = "size"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("images")
+                Input("size")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(images)
+                Node(size)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.linspace(1,36,36).reshape(1,3,3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val yVal = Nd4j.create(floatArrayOf(6f,6f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+            val inputs = mapOf("images" to xVal,"size" to yVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images","size"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "resize_area" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val size = NodeDef {
+                name = "size"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("images")
+                Input("size")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(images)
+                Node(size)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.linspace(1,36,36).reshape(1,3,3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val yVal = Nd4j.create(floatArrayOf(6f,6f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+            val inputs = mapOf("images" to xVal,"size" to yVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images","size"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "mirror_pad" -> {
+            val mirrorPadRet = ArrayList()
+            listOf("REFLECT","SYMMETRIC").forEach { mode ->
+                val input = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val paddings = NodeDef {
+                    name = "paddings"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("input")
+                    Input("paddings")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("mode", AttrValue {
+                        s = ByteString.copyFrom(mode.toByteArray(Charset.defaultCharset()))
+                    })
+                    Attribute("Tpaddings", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val graphDef = GraphDef {
+                    Node(input)
+                    Node(paddings)
+                    Node(opNode)
+                }
+
+
+
+                val xVal = Nd4j.linspace(1,5,5).reshape(5)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val yVal = Nd4j.create(floatArrayOf(1f,1f))
+                    .reshape(1,2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+                val inputs = mapOf("input" to xVal,"paddings" to yVal)
+
+
+                mirrorPadRet.add(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("input","paddings"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+            return mirrorPadRet
+        }
+
+        "listdiff" -> {
+            val x = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val y = NodeDef {
+                name = "y"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("x")
+                Input("y")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(x)
+                Node(y)
+                Node(opNode)
+            }
+
+
+
+            val xVal = Nd4j.linspace(1,4,4).reshape(4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val yVal = Nd4j.create(floatArrayOf(3f,1f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+
+            val inputs = mapOf("x" to xVal,"y" to yVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("x","y"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "histogram_fixed_width" -> {
+            val values = NodeDef {
+                name = "values"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val valueRange = NodeDef {
+                name = "value_range"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val nBins = NodeDef {
+                name = "nbins"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("values")
+                Input("value_range")
+                Input("nbins")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(values)
+                Node(valueRange)
+                Node(nBins)
+                Node(opNode)
+            }
+
+
+
+            val valuesVal = Nd4j.ones(2,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val valueRangeVal = Nd4j.create(floatArrayOf(0f,5f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val nbinsVal = Nd4j.scalar(5f)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("values" to valuesVal,"value_range" to valueRangeVal,"nbins" to nbinsVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("values","value_range","nbins"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "extract_image_patches" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            val opNode = NodeDef {
+                Input("images")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("ksizes",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("strides",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("rates",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("padding",AttrValue {
+                    s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                })
+            }
+            val graphDef = GraphDef {
+                Node(images)
+                Node(opNode)
+            }
+
+            //1,2,5,4
+
+            //3,2,2,2
+
+
+            val imagesVal = Nd4j.ones(2,4,4,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+
+            val inputs = mapOf("images" to imagesVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "crop_and_resize" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val boxes = NodeDef {
+                name = "boxes"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val boxesI = NodeDef {
+                name = "boxesI"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val cropSize = NodeDef {
+                name = "cropSize"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("images")
+                Input("boxes")
+                Input("boxesI")
+                Input("cropSize")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(images)
+                Node(boxes)
+                Node(boxesI)
+                Node(cropSize)
+                Node(opNode)
+            }
+
+
+
+            val imagesVal = Nd4j.create(floatArrayOf(1f,2f,3f,4f))
+                .reshape(1,2,2,1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val boxesVal = Nd4j.create(floatArrayOf(0f,0f,1f,1f))
+                .reshape(1,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val boxesIVal = Nd4j.create(floatArrayOf(0f))
+                .reshape(1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val cropSizeVal = Nd4j.create(floatArrayOf(1f,1f))
+                .reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("images" to imagesVal,"boxes" to boxesVal,"boxesI" to boxesIVal,"cropSize" to cropSizeVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images","boxes","boxesI","cropSize"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "broadcastgradientargs" -> {
+            val s0 = NodeDef {
+                name = "s0"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val s1 = NodeDef {
+                name = "s1"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("s0")
+                Input("s1")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(s0)
+                Node(s1)
+                Node(opNode)
+            }
+
+
+
+            val s0Val = Nd4j.create(floatArrayOf(2f,2f,2f))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val s1Val = Nd4j.create(floatArrayOf(2f,1f,2f))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("s0" to s0Val,"s1" to s1Val)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("s0","s1"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "broadcast_dynamic_shape" -> {
+            val s0 = NodeDef {
+                name = "s0"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val s1 = NodeDef {
+                name = "s1"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("s0")
+                Input("s1")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(s0)
+                Node(s1)
+                Node(opNode)
+            }
+
+
+
+            val s0Val = Nd4j.create(floatArrayOf(2f,2f,2f))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val s1Val = Nd4j.create(floatArrayOf(2f,1f,2f))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("s0" to s0Val,"s1" to s1Val)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("s0","s1"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "lrn" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("depth_radius",AttrValue {
+                    i = 5
+                })
+                Attribute("bias",AttrValue {
+                    f = 1f
+                })
+                Attribute("alpha",AttrValue {
+                    f = 0.5f
+                })
+                Attribute("beta",AttrValue {
+                    f = 0.5f
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+            //1,2,5,4
+
+            //3,2,2,2
+
+            //1, 1,2,2,1, 1,2,2,1
+
+            val inputVal = Nd4j.linspace(1,16,16).reshape(2,2,2,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("input" to inputVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "fused_batch_norm" -> {
+            val x = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val scale = NodeDef {
+                name = "scale"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val offset = NodeDef {
+                name = "offset"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val mean = NodeDef {
+                name = "mean"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val variance = NodeDef {
+                name = "variance"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            val epsilon = 0.0001f
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("x")
+                Input("scale")
+                Input("offset")
+                Input("mean")
+                Input("variance")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("is_training",AttrValue {
+                    b = false
+                })
+                Attribute("data_format",AttrValue {
+                    s = ByteString.copyFrom("NHWC".toByteArray(Charset.defaultCharset()))
+                })
+                Attribute("epsilon",AttrValue {
+                    f = epsilon
+                })
+            }
+
+
+            val y = NodeDef {
+                name = "y"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val batchMean = NodeDef {
+                name = "batch_mean"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val batchVariance = NodeDef {
+                name = "batch_variance"
+                Input("output:2")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(x)
+                Node(scale)
+                Node(mean)
+                Node(offset)
+                Node(variance)
+                Node(opNode)
+                Node(y)
+                Node(batchMean)
+                Node(batchVariance)
+            }
+
+
+
+            val xVal = Nd4j.ones(2,2,2,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val scaleVal = Nd4j.zeros(2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+            val offsetVal = Nd4j.zeros(2).addi(2).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            //    xAffected *= (*variance + epsilon).transform(transform::RSqrt) * (*scale) + (*offset);
+            val testResult = Nd4j.ones(8,2).muli(Nd4j.exec(RSqrt(Nd4j.scalar(epsilon)))).muli(scaleVal).addi(offsetVal)
+            val meanVal = Nd4j.zeros(2)
+            val varianceVal = Nd4j.zeros(2)
+            val otherResult = xVal.sub(meanVal).div(varianceVal.add(epsilon)).mul(scaleVal).add(offsetVal)
+            // (batch - self.moving_mean) / (self.moving_var + epsilon) * gamma + beta.
+
+            val inputs = mapOf("x" to xVal,"scale" to scaleVal,"mean" to meanVal,"offset" to offsetVal,"variance" to varianceVal)
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("x","scale","offset","mean","variance"),
+                outputNames = listOf("y","batch_mean","batch_variance"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "conv3dnew" -> {
+            // int bS=2, iD=3,iH=4,iW=3,  iC=4,oC=3,  kD=2,kH=3,kW=2,  sD=1,sH=1,sW=1,  pD=0,pH=0,pW=0,  dD=1,dH=1,dW=1;
+            // int paddingMode = 1;             // 1-SAME,  0-VALID;
+            //int dataFormat  = 1;             // 1-NDHWC, 0-NCDHW
+            //2,3,4,3,4
+            //2,3,2,4,3
+            //auto input    = NDArrayFactory::create('c', {bS, iD, iH, iW, iC});
+            //auto weights  = NDArrayFactory::create('c', {kD, kH, kW, iC, oC});
+//, {kD,kH,kW,  sD,sH,sW,  pD,pH,pW, dD,dH,dW, paddingMode, 1, dataFormat}
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val filter = NodeDef {
+                name = "filter"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            //, {kD,kH,kW,  sD,sH,sW,  pD,pH,pW, dD,dH,dW, paddingMode, 1, dataFormat}
+
+            val opNode = NodeDef {
+                Input("input")
+                Input("filter")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("strides",AttrValue {
+                    ListInts(listOf(1,1,1,1,1))
+                })
+                Attribute("padding",AttrValue {
+                    s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                })
+                Attribute("data_format",AttrValue {
+                    s = ByteString.copyFrom("NDHWC".toByteArray(Charset.defaultCharset()))
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(filter)
+                Node(opNode)
+            }
+
+            //1,2,5,4
+
+            //3,2,2,2
+
+
+            val inputVal = Nd4j.ones(2,3,4,3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val filterVal = Nd4j.ones(2,3,2,4,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"filter" to filterVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","filter"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "avgpool3dnew","maxpool3dnew" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("ksize",AttrValue {
+                    ListInts(listOf(1,1,1,1,1))
+                })
+                Attribute("strides",AttrValue {
+                    ListInts(listOf(1,1,1,1,1))
+                })
+                Attribute("padding",AttrValue {
+                    s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                })
+                Attribute("data_format",AttrValue {
+                    s = ByteString.copyFrom("NDHWC".toByteArray(Charset.defaultCharset()))
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+            //2,3,3,43
+            val inputVal = Nd4j.ones(2,3,3,4,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("input" to inputVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "draw_bounding_boxes" -> {
+            val images = NodeDef {
+                name = "images"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val boxes = NodeDef {
+                name = "boxes"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val colors = NodeDef {
+                name = "colors"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("images")
+                Input("boxes")
+                Input("colors")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(images)
+                Node(boxes)
+                Node(colors)
+                Node(opNode)
+            }
+
+
+
+            val imagesVal = Nd4j.linspace(1,120,120).reshape(2,4,5,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val boxesVal = Nd4j.linspace(1,16,16).reshape(2,2,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+            val colorVal = Nd4j.create(floatArrayOf(201f, 202f, 203f, 127f, 128f, 129f)).reshape(2,3)
+
+            val inputs = mapOf("images" to imagesVal,"boxes" to boxesVal,"colors" to colorVal)
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("images","boxes","colors"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "create" -> {
+            val shape = NodeDef {
+                name = "shape"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("shape")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("init",AttrValue {
+                    b = true
+                })
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(shape)
+                Node(opNode)
+            }
+
+
+
+            val shapeVal = Nd4j.create(doubleArrayOf(1.0,2.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val inputs = mapOf("shape" to shapeVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("shape"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "select" -> {
+            val condition = NodeDef {
+                name = "condition"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+            val t = NodeDef {
+                name = "t"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val e = NodeDef {
+                name = "e"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("condition")
+                Input("t")
+                Input("e")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+            val graphDef = GraphDef {
+                Node(condition)
+                Node(t)
+                Node(e)
+                Node(opNode)
+            }
+
+
+
+            val conditionVal = Nd4j.create(booleanArrayOf(true,false,false))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+
+            val tVal = Nd4j.linspace(1,9,9).reshape(3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val eVal = Nd4j.create(doubleArrayOf(9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0))
+                .reshape(3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("condition" to conditionVal,"t" to tVal,"e" to eVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("condition","t","e"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "compare_and_bitpack" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val threshold = NodeDef {
+                name = "threshold"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("threshold")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(threshold)
+                Node(opNode)
+            }
+
+
+
+            val inputVal = Nd4j.create(floatArrayOf(-12f, -11f, -10f, -9f, -8f, -7f, -6f, -5f, -4f, -3f, -2f, -1f, 0f, 1f, 2f, 3f, 4f, 5f, 6f, 7f, 8f, 9f, 10f, 11f)).reshape(2,3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val thresholdVal = Nd4j.scalar(2.0)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"threshold" to thresholdVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","threshold"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "strided_slice" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val begin = NodeDef {
+                name = "begin"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val end = NodeDef {
+                name = "end"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val strides = NodeDef {
+                name = "strides"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("begin")
+                Input("end")
+                Input("strides")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Index",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("shrink_axis_mask",AttrValue {
+                    i = 1
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(begin)
+                Node(end)
+                Node(strides)
+                Node(opNode)
+            }
+
+
+
+            val inputVal = Nd4j.linspace(1,10,10).reshape(5,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val beginVal = Nd4j.create(doubleArrayOf(0.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val endVal = Nd4j.create(doubleArrayOf(1.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val strideVal = Nd4j.create(doubleArrayOf(1.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("input" to inputVal,"begin" to beginVal, "end" to endVal,"strides" to strideVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","begin","end","strides"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+        "bincount" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val size = NodeDef {
+                name = "size"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val weights = NodeDef {
+                name = "weights"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("size")
+                Input("weights")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(size)
+                Node(weights)
+                Node(opNode)
+            }
+
+
+
+            val inputVal = Nd4j.create(doubleArrayOf(1.0, 2.0, 0.0, 1.0, 2.0, 2.0, 1.0, 2.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val sizeVal = Nd4j.create(doubleArrayOf(3.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val weightVal = Nd4j.create(doubleArrayOf(1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"size" to sizeVal, "weights" to weightVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","size","weights"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "broadcast_to" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val shape = NodeDef {
+                name = "shape"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("shape")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tidx",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(shape)
+                Node(opNode)
+            }
+
+
+
+            val inputVal = Nd4j.create(doubleArrayOf(2.0))
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val shapeVal = Nd4j.zeros(2).addi(4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+            val inputs = mapOf("input" to inputVal,"shape" to shapeVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","shape"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "condition" -> {
+            val condition = NodeDef {
+                name = "condition"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+            val t = NodeDef {
+                name = "t"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val e = NodeDef {
+                name = "e"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("condition")
+                Input("t")
+                Input("e")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+            val graphDef = GraphDef {
+                Node(condition)
+                Node(t)
+                Node(e)
+                Node(opNode)
+            }
+
+
+
+            val conditionVal = Nd4j.create(booleanArrayOf(true,true,false,false)).reshape(2,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.BOOL)
+
+            val tVal = Nd4j.linspace(1,4,4).reshape(2,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val eVal = Nd4j.linspace(1,4,4).reshape(2,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("condition" to conditionVal,"t" to tVal,"e" to eVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("condition","t","e"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "biasadd" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val bias = NodeDef {
+                name = "bias"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("bias")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(bias)
+                Node(opNode)
+            }
+
+
+
+            val inputVal = Nd4j.linspace(1,2 * 3 * 3 * 2,2 * 3 * 3 * 2).reshape(2,3,3,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val biasVal = Nd4j.linspace(1,2,2).reshape(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"bias" to biasVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","bias"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+        "dilation2d" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val filter = NodeDef {
+                name = "filter"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            val opNode = NodeDef {
+                Input("input")
+                Input("filter")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("strides",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("rates",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("padding",AttrValue {
+                    s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(filter)
+                Node(opNode)
+            }
+
+            //1,2,5,4
+
+            //3,2,2,2
+
+            //1, 1,2,2,1, 1,2,2,1
+
+            val inputVal = Nd4j.linspace(1,2 * 6 * 6 * 3,2 * 6 * 6 * 3).reshape(2,6,6,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val filterVal = Nd4j.linspace(1,3 * 2 * 3,3 * 2 * 3).reshape(3,2,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"filter" to filterVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","filter"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "depthwise_conv2d" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val filter = NodeDef {
+                name = "filter"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            val opNode = NodeDef {
+                Input("input")
+                Input("filter")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("strides",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("padding",AttrValue {
+                    s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                })
+                Attribute("data_format",AttrValue {
+                    s = ByteString.copyFrom("NHWC".toByteArray(Charset.defaultCharset()))
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(filter)
+                Node(opNode)
+            }
+
+            //1,2,5,4
+
+            //3,2,2,2
+
+
+            val inputVal = Nd4j.ones(2,4,3,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val filterVal = Nd4j.ones(3,2,2,2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"filter" to filterVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","filter"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "conv2d" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val filter = NodeDef {
+                name = "filter"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+            val opNode = NodeDef {
+                Input("input")
+                Input("filter")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("strides",AttrValue {
+                    ListInts(listOf(1,1,1,1))
+                })
+                Attribute("padding",AttrValue {
+                    s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                })
+                Attribute("data_format",AttrValue {
+                    s = ByteString.copyFrom("NHWC".toByteArray(Charset.defaultCharset()))
+                })
+            }
+            val graphDef = GraphDef {
+                Node(input)
+                Node(filter)
+                Node(opNode)
+            }
+
+            //1,2,5,4
+
+            //3,2,2,2
+
+
+            val inputVal = Nd4j.ones(1,4,1,1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val filterVal = Nd4j.ones(1,1,1,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"filter" to filterVal)
+
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("input","filter"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "avgpool2d","maxpool2d" -> {
+            if(tensorflowOpDef.name == "AvgPool" || tensorflowOpDef.name == "MaxPool") {
+                val input = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+                val opNode = NodeDef {
+                    Input("input")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                    Attribute("ksize", AttrValue {
+                        ListInts(listOf(1, 1, 1, 1))
+                    })
+                    Attribute("strides", AttrValue {
+                        ListInts(listOf(1, 1, 1, 1))
+                    })
+                    Attribute("padding", AttrValue {
+                        s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                    })
+                    Attribute("data_format", AttrValue {
+                        s = ByteString.copyFrom("NHWC".toByteArray(Charset.defaultCharset()))
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(input)
+                    Node(opNode)
+                }
+
+                val inputVal = Nd4j.ones(2,4,4,2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+                val inputs = mapOf("input" to inputVal)
+
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("input"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else { //MaxPoolV2
+                val input = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val ksize = NodeDef {
+                    name = "ksize"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val stride = NodeDef {
+                    name = "stride"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                // {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1}
+                val opNode = NodeDef {
+                    Input("input")
+                    Input("ksize")
+                    Input("stride")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+
+                    Attribute("padding", AttrValue {
+                        s = ByteString.copyFrom("SAME".toByteArray(Charset.defaultCharset()))
+                    })
+                    Attribute("data_format", AttrValue {
+                        s = ByteString.copyFrom("NHWC".toByteArray(Charset.defaultCharset()))
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(input)
+                    Node(ksize)
+                    Node(stride)
+                    Node(opNode)
+                }
+
+                val inputVal = Nd4j.ones(2,4,4,2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                val ksizeVal = Nd4j.create(floatArrayOf(1.0f,2.0f,2.0f,1.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+                val strideVal = Nd4j.create(floatArrayOf(1.0f,2.0f,2.0f,1.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+                val inputs = mapOf("input" to inputVal,"ksize" to ksizeVal,"stride" to strideVal)
+
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("input","ksize","stride"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+        }
+
+
+        "space_to_batch" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val paddings = NodeDef {
+                name = "paddings"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("paddings")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tpaddings",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("block_size",AttrValue {
+                    i = 2
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(paddings)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.linspace(1,12,12).reshape(1,2,2,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val paddingsVal = Nd4j.zeros(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal,"paddings" to paddingsVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","paddings"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "batch_to_space_nd" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val blockShape = NodeDef {
+                name = "block_shape"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("shape",AttrValue {
+                    shape = TensorShapeProto {
+                        Dims(listOf(3))
+                    }
+                })
+            }
+
+            val crops = NodeDef {
+                name = "crops"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("block_shape")
+                Input("crops")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tblock_shape",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("Tcrops",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(blockShape)
+                Node(crops)
+                Node(opNode)
+            }
+
+            val tVal = Nd4j.linspace(1,24,24).reshape(8,1,1,1,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val blockShapeVal = Nd4j.zeros(3).addi(2).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val cropsVal = Nd4j.zeros(3,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("input" to tVal,"block_shape" to blockShapeVal,"crops" to cropsVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","block_shape","crops"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+        "space_to_batch_nd" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val blockShape = NodeDef {
+                name = "block_shape"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("shape",AttrValue {
+                    shape = TensorShapeProto {
+                        Dims(listOf(3))
+                    }
+                })
+            }
+
+            val paddings = NodeDef {
+                name = "paddings"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("block_shape")
+                Input("paddings")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tblock_shape",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("Tpaddings",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(blockShape)
+                Node(paddings)
+                Node(opNode)
+            }
+
+            val tVal = Nd4j.linspace(1,48,48).reshape(2,2,4,3,1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val blockShapeVal = Nd4j.create(floatArrayOf(2.0f,2.0f,3f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val paddingsVal = Nd4j.create(floatArrayOf(0f,0f,0f,2f,2f,1f)).reshape(3,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("input" to tVal,"block_shape" to blockShapeVal,"paddings" to paddingsVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","block_shape","paddings"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "batch_to_space" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val crops = NodeDef {
+                name = "crops"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("crops")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tidx",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("block_size",AttrValue {
+                    i = 2
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(crops)
+                Node(opNode)
+            }
+
+            val tVal = Nd4j.linspace(1,12,12).reshape(4,1,1,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val cropsVal = Nd4j.zeros(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to tVal,"crops" to cropsVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","crops"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "slice" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val begin = NodeDef {
+                name = "begin"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val size = NodeDef {
+                name = "size"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("begin")
+                Input("size")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Index",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(begin)
+                Node(size)
+                Node(opNode)
+            }
+
+            val tVal = Nd4j.linspace(1,12,12).reshape(3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val beginVal = Nd4j.create(doubleArrayOf(0.0,1.0)).reshape(2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+            val sizeVal = Nd4j.create(doubleArrayOf(0.0,1.0)).reshape(2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to tVal,"begin" to beginVal,"size" to sizeVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","begin","size"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "ClipByValue" -> {
+            val t = NodeDef {
+                name = "t"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val clipValueMin = NodeDef {
+                name = "clip_value_min"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val clipValueMax = NodeDef {
+                name = "clip_value_max"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("t")
+                Input("clip_value_min")
+                Input("clip_value_max")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(t)
+                Node(clipValueMin)
+                Node(clipValueMax)
+                Node(opNode)
+            }
+
+            val tVal = Nd4j.linspace(1,12,12).reshape(3,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val clipValueMinVal = Nd4j.scalar(0.0).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+            val clipValueMaxVal = Nd4j.scalar(1.0).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+            val inputs = mapOf("t" to tVal,"clip_value_min" to clipValueMinVal,"clip_value_max" to clipValueMaxVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("t","clip_value_min","clip_value_max"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+
+
+        "squeeze" -> {
+            val value = NodeDef {
+                name = "value"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("value")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("squeeze_dims",AttrValue {
+                    ListInts(listOf(2))
+                })
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(value)
+                Node(opNode)
+            }
+
+            val valuesVal = Nd4j.linspace(1,12,12).reshape(3,4,1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("value" to valuesVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("value"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "identity_n" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val input2 = NodeDef {
+                name = "input2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("input2")
+                op = tensorflowOpDef.name
+                name = "output"
+
+                Attribute("T",AttrValue {
+                    ListDataType(listOf(DataType.DT_INT64,DataType.DT_INT64))
+                })
+            }
+
+
+            val out0 = NodeDef {
+                name = "out0"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val out1 = NodeDef {
+                name = "out1"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(input2)
+                Node(opNode)
+                Node(out0)
+                Node(out1)
+            }
+
+
+            val inputVal = Nd4j.linspace(1,4,4)
+                .reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","input2"),
+                outputNames = listOf("out0","out1"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "shapes_of" -> {
+            val input1 = NodeDef {
+                name = "input1"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val input2 = NodeDef {
+                name = "input2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("input1")
+                Input("input2")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("N",AttrValue {
+                    i = 2
+                })
+
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("out_type",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val out0 = NodeDef {
+                name = "out0"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val out1 = NodeDef {
+                name = "out1"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(input1)
+                Node(input2)
+                Node(opNode)
+                Node(out0)
+                Node(out1)
+            }
+
+            val input1Val = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+            val input2Val = Nd4j.linspace(1,6,6).reshape(2,3).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input1" to input1Val,"input2" to input2Val)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input1","input2"),
+                outputNames = listOf("out0","out1"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+
+        "dynamic_stitch" -> {
+            val indices1 = NodeDef {
+                name = "indices"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val indices2 = NodeDef {
+                name = "indices2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val data0 = NodeDef {
+                name = "data0"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val data1 = NodeDef {
+                name = "data1"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("indices")
+                Input("indices2")
+                Input("data0")
+                Input("data1")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("N",AttrValue {
+                    i = 2
+                })
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+
+
+            val graphDef = GraphDef {
+                Node(indices1)
+                Node(indices2)
+                Node(data0)
+                Node(data1)
+                Node(opNode)
+            }
+
+            val testGraph = GraphRunner.builder().graphBytes(graphDef.toByteArray()).build()
+
+            val indicesVal = Nd4j.create(floatArrayOf(1.0f,3.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val indices2Val = Nd4j.create(floatArrayOf(5.0f,0.0f,2.0f,4.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val dataVal = Nd4j.create(floatArrayOf(-1f,-1f)).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+            val data2Val = Nd4j.create(floatArrayOf(0.1f,5.2f,4.3f,7.4f)).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("indices" to indicesVal,"indices2" to indices2Val,"data0" to dataVal,"data1" to data2Val)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("indices","indices2","data0","data1"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+        "dynamic_partition" -> {
+            val data = NodeDef {
+                name = "data"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val partitions = NodeDef {
+                name = "partitions"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("data")
+                Input("partitions")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("num_partitions",AttrValue {
+                    i = 2
+                })
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val out0 = NodeDef {
+                name = "out0"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val out1 = NodeDef {
+                name = "out1"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(data)
+                Node(partitions)
+                Node(opNode)
+                Node(out0)
+                Node(out1)
+            }
+
+            val testGraph = GraphRunner.builder().graphBytes(graphDef.toByteArray()).build()
+
+            val partitionsVal = Nd4j.create(floatArrayOf(0f,0f,1f,1f,0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val dataVal = Nd4j.create(floatArrayOf(10f, 20f, 30f, 40f, 50f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+            val inputs = mapOf("data" to dataVal,"partitions" to partitionsVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("data","partitions"),
+                outputNames = listOf("out0","out1"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "split_v" -> {
+            val splitDim = NodeDef {
+                name = "split_dim"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            val sizeSplits = NodeDef {
+                name = "size_splits"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val value = NodeDef {
+                name = "value"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("value")
+                Input("size_splits")
+                Input("split_dim")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("num_split",AttrValue {
+                    i = 2
+                })
+                Attribute("Tlen",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val out0 = NodeDef {
+                name = "out0"
+                Input("output:0")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val out1 = NodeDef {
+                name = "out1"
+                Input("output:1")
+                op = "Identity"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(value)
+                Node(sizeSplits)
+                Node(splitDim)
+                Node(opNode)
+                Node(out0)
+                Node(out1)
+            }
+
+            val splitDimVal = Nd4j.scalar(-2.0).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val sizeSplitsVal = Nd4j.create(floatArrayOf(5f,3f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+            val valuesVal = Nd4j.linspace(1,56,56)
+                .reshape(8,7).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("split_dim" to splitDimVal,"value" to valuesVal,"size_splits" to sizeSplitsVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("value","size_splits","split_dim"),
+                outputNames = listOf("out0","out1"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+        "split" -> {
+            val splitDim = NodeDef {
+                name = "split_dim"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val value = NodeDef {
+                name = "value"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("split_dim")
+                Input("value")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("num_split",AttrValue {
+                    i = 2
+                })
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(splitDim)
+                Node(value)
+                Node(opNode)
+            }
+
+            val concatDimVal = Nd4j.scalar(0.0).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val valuesVal = Nd4j.create(floatArrayOf(0f,1f,0f,1f))
+                .reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("split_dim" to concatDimVal,"value" to valuesVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("split_dim","value"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+
+
+        "matmul" -> {
+            val mmulInput = ArrayList()
+            listOf(false,true).forEach { transA ->
+                listOf(false,true).forEach { transB ->
+                    val a = NodeDef {
+                        name = "a"
+                        op = "Placeholder"
+                        Attribute("dtype",AttrValue {
+                            type = DataType.DT_DOUBLE
+                        })
+                    }
+
+                    val bNode = NodeDef {
+                        name = "b"
+                        op = "Placeholder"
+                        Attribute("dtype",AttrValue {
+                            type = DataType.DT_DOUBLE
+                        })
+                    }
+
+                    println("Running test import process for op ${tensorflowOpDef.name}")
+                    val opNode = NodeDef {
+                        Input("a")
+                        Input("b")
+
+                        op = tensorflowOpDef.name
+                        name = "output"
+                        Attribute("T",AttrValue {
+                            type = DataType.DT_DOUBLE
+                        })
+                    }
+
+
+                    val graphDef = GraphDef {
+                        Node(a)
+                        Node(bNode)
+                        Node(opNode)
+                    }
+
+                    val aVal = Nd4j.linspace(1,4,4).reshape(2,2)
+                        .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+                    val bVal = Nd4j.create(floatArrayOf(0f,1f,0f,1f))
+                        .reshape(2,2)
+                        .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+                    val inputs = mapOf("a" to aVal,"b" to bVal)
+                    mmulInput.add(GraphInput(
+                        graphDef =graphDef,
+                        inputNames = listOf("a","b"),
+                        outputNames = listOf("output"),
+                        inputArrays = inputs,
+                        dynamicArrays = inputs
+                    ))
+                }
+            }
+
+
+            return mmulInput
+
+
+        }
+
+        "range" -> {
+            val start = NodeDef {
+                name = "start"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val limit = NodeDef {
+                name = "limit"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val delta = NodeDef {
+                name = "delta"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("start")
+                Input("limit")
+                Input("delta")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("Tidx", AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(start)
+                Node(limit)
+                Node(delta)
+                Node(opNode)
+            }
+
+            val startVal = Nd4j.scalar(1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val limitVal = Nd4j.scalar(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val deltaVal = Nd4j.scalar(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("start" to startVal, "limit" to limitVal, "delta" to deltaVal)
+
+
+            return listOf(
+                GraphInput(
+                    graphDef = graphDef, inputNames = listOf("start", "limit", "delta"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                )
+            )
+
+        }
+
+        "lin_space" -> {
+            val start = NodeDef {
+                name = "start"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val stop = NodeDef {
+                name = "stop"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val num = NodeDef {
+                name = "num"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("start")
+                Input("stop")
+                Input("num")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tidx", AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(start)
+                Node(stop)
+                Node(num)
+                Node(opNode)
+            }
+
+            val startVal = Nd4j.scalar(1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+            val limitVal = Nd4j.scalar(1).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+            val deltaVal = Nd4j.scalar(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("start" to startVal,"stop" to
+                    limitVal, "num" to deltaVal)
+
+
+            return listOf(
+                GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("start", "stop","num"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = mapOf("limit" to limitVal)
+                )
+            )
+
+        }
+
+        "gather","gather_nd" -> {
+            if(tensorflowOpDef.name != "GatherV2") {
+                val params = NodeDef {
+                    name = "params"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val indices = NodeDef {
+                    name = "indices"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("params")
+                    Input("indices")
+
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("Tparams",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                    Attribute("Tindices",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(params)
+                    Node(indices)
+                    Node(opNode)
+                }
+
+                val paramsVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+                val indicesVal = Nd4j.create(floatArrayOf(0f,1f,0f,1f))
+                    .reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+                val inputs = mapOf("params" to paramsVal,"indices" to indicesVal.dup())
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("params","indices"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else {
+                val params = NodeDef {
+                    name = "params"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val indices = NodeDef {
+                    name = "indices"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val axis = NodeDef {
+                    name = "axis"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("params")
+                    Input("indices")
+                    Input("axis")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("Tparams",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                    Attribute("Tindices",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                    Attribute("Taxis",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(params)
+                    Node(indices)
+                    Node(axis)
+                    Node(opNode)
+                }
+
+                val paramsVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+                val indicesVal = Nd4j.create(floatArrayOf(0f,1f,0f,1f))
+                    .reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+                val axisVal = Nd4j.scalar(0).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+                val inputs = mapOf("params" to paramsVal,"indices" to indicesVal.dup(),"axis" to axisVal)
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("params","indices","axis"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+
+        }
+        "stack" -> {
+            val concat1 = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val concat2 = NodeDef {
+                name = "input2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("input2")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("N",AttrValue {
+                    i = 2
+                })
+                Attribute("axis",AttrValue {
+                    i = 0
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(concat1)
+                Node(concat2)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","input2"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "unstack" -> {
+            val concat1 = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("num",AttrValue {
+                    i = 2
+                })
+                Attribute("axis",AttrValue {
+                    i = 0
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(concat1)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "mergesum" -> {
+            val concat1 = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val concat2 = NodeDef {
+                name = "input2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("input2")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("N",AttrValue {
+                    i = 2
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(concat1)
+                Node(concat2)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","input2"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "merge" -> {
+            val concat1 = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val concat2 = NodeDef {
+                name = "input2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("input2")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("N",AttrValue {
+                    i = 2
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(concat1)
+                Node(concat2)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","input2"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "mergeadd" -> {
+            val concat1 = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val concat2 = NodeDef {
+                name = "input2"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                Input("input2")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("N",AttrValue {
+                    i = 2
+                })
+                Attribute("shape",AttrValue {
+                    shape = TensorShapeProto {
+                        Dims(listOf(4,2))
+                    }
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(concat1)
+                Node(concat2)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","input2"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "concat" -> {
+            if(inputFrameworkOpName == "Concat") {
+                val concatDim = NodeDef {
+                    name = "concat_dim"
+                    op = "Const"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value",AttrValue {
+                        tensor = TensorProto {
+                            dtype = DataType.DT_INT32
+                            Int32Data(listOf(0))
+                            Shape(listOf())
+                        }
+                    })
+                }
+                val concat1 = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val concat2 = NodeDef {
+                    name = "input2"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("concat_dim")
+                    Input("input")
+                    Input("input2")
+
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                    Attribute("N", AttrValue {
+                        i = 2
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(concatDim)
+                    Node(concat1)
+                    Node(concat2)
+                    Node(opNode)
+                }
+
+                val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+                val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("input","input2"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else { //ConcatV2
+                val concatDim = NodeDef {
+                    name = "concat_dim"
+                    op = "Const"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value",AttrValue {
+                        tensor = TensorProto {
+                            dtype = DataType.DT_INT32
+                            Int32Data(listOf(0))
+                            Shape(listOf())
+                        }
+                    })
+                }
+                val concat1 = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                val concat2 = NodeDef {
+                    name = "input2"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+                println("Running test import process for op ${tensorflowOpDef.name}")
+                val opNode = NodeDef {
+                    Input("input")
+                    Input("input2")
+                    Input("concat_dim")
+
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                    Attribute("N", AttrValue {
+                        i = 2
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(concat1)
+                    Node(concat2)
+                    Node(concatDim)
+                    Node(opNode)
+                }
+
+                val inputVal = Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+                val inputs = mapOf("input" to inputVal,"input2" to inputVal.dup())
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("input","input2"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+        }
+
+        "shape_of" -> {
+            val tensorNode = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("out_type",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.create(floatArrayOf(1.0f,0.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+
+            val inputs = mapOf("input" to inputVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "toggle_bits","invert_permutation" -> {
+            val tensorNode = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            println("Running test import process for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+            val inputVal = Nd4j.create(floatArrayOf(1.0f,0.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("input" to inputVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "reverse" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+
+            }
+
+            val axis = NodeDef {
+                name = "axis"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+            val opNode = NodeDef {
+                Input("input")
+                Input("axis")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("Tidx",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(axis)
+                Node(opNode)
+            }
+
+
+            val inputVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val axisVal = Nd4j.zeros(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("input" to inputVal,"axis" to axisVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","axis"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "roll" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+
+            }
+
+            val shift = NodeDef {
+                name = "shift"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+            val axis = NodeDef {
+                name = "axis"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+            val opNode = NodeDef {
+                Input("input")
+                Input("shift")
+                Input("axis")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("Tshift",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("Taxis",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(shift)
+                Node(axis)
+                Node(opNode)
+            }
+
+
+            val inputVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val shiftVal = Nd4j.zeros(2).addi(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val axisVal = Nd4j.zeros(2).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("input" to inputVal,"shift" to shiftVal,"axis" to axisVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","shift","axis"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "tile" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+
+            }
+
+            val multiples = NodeDef {
+                name = "multiples"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+            val opNode = NodeDef {
+                Input("input")
+                Input("multiples")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("Tmultiples",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(multiples)
+                Node(opNode)
+            }
+
+
+            val inputVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val multiplesVal = Nd4j.zeros(2).addi(2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+            val inputs = mapOf("input" to inputVal,"multiples" to multiplesVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input","multiples"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "leakyrelu" -> {
+            val a = NodeDef {
+                name = "a"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+
+            }
+
+            val opNode = NodeDef {
+                Input("a")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("alpha",AttrValue {
+                    f = 0.1f
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(a)
+                Node(opNode)
+            }
+
+
+            val aVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+
+            val inputs = mapOf("a" to aVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("a"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+        "betainc" -> {
+            val a = NodeDef {
+                name = "a"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val b = NodeDef {
+                name = "b"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val x = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("a")
+                Input("b")
+                Input("x")
+
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(a)
+                Node(b)
+                Node(x)
+                Node(opNode)
+            }
+
+
+            val aVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val bVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val xVal = Nd4j.zeros(2,2).addi(0.5)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("a" to aVal,"b" to bVal,"x" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("a","b","x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+        "top_k" -> {
+            if(tensorflowOpDef.name == "TopK") {
+                val input = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+
+                val opNode = NodeDef {
+                    Input("input")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                    Attribute("k", AttrValue {
+                        i = 2
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(input)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+
+                val inputs = mapOf("input" to xVal)
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("input"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else { //TopKV2
+                val input = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+
+                val k = NodeDef {
+                    name = "k"
+                    op = "Const"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value",AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(listOf(2))
+                            dtype = DataType.DT_INT32
+
+                        }
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("input")
+                    Input("k")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(input)
+                    Node(k)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+
+                val inputs = mapOf("input" to xVal)
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("input"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+        }
+        "enter" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("is_constant",AttrValue {
+                    b = false
+                })
+                Attribute("frame_name",AttrValue {
+                    s = ByteString.copyFrom("hello".toByteArray(Charset.defaultCharset()))
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 6, 6)
+                .reshape(2, 3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("input" to xVal)
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "Assert" -> {
+            val condition = NodeDef {
+                name = "condition"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+            val input = NodeDef {
+                name = "input"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        FloatData(listOf(0.0f))
+                        dtype = DataType.DT_FLOAT
+
+                    }
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("condition")
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    ListDataType(listOf(DataType.DT_FLOAT))
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(condition)
+                Node(input)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.create(listOf(true,true,true,true).toBooleanArray())
+
+            val inputs = mapOf("condition" to xVal)
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("condition"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+
+        "bitcast" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("type",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.zeros(2,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+
+            val inputs = mapOf("input" to xVal)
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "exit" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 6, 6)
+                .reshape(2, 3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("input" to xVal)
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "expand_dims" -> {
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val n = NodeDef {
+                name = "dimension"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        Int32Data(listOf(0))
+                        dtype = DataType.DT_INT32
+
+                    }
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("input")
+                Input("dimension")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(n)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 6, 6)
+                .reshape(2, 3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+            val inputs = mapOf("input" to xVal)
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "non_max_suppression","non_max_suppression_v3" -> {
+            if(inputFrameworkOpName == "NonMaxSuppression") {
+                val overlaps = NodeDef {
+                    name = "overlaps"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val scores = NodeDef {
+                    name = "scores"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val maxOutputSize = NodeDef {
+                    name = "maxOutputSize"
+                    op = "Const"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(listOf(1))
+                            dtype = DataType.DT_INT32
+
+                        }
+                    })
+                }
+
+
+
+                val opNode = NodeDef {
+                    Input("overlaps")
+                    Input("scores")
+                    Input("maxOutputSize")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("iou_threshold", AttrValue {
+                        f = 0.5f
+                    })
+                }
+
+                val graphDef = GraphDef {
+                    Node(overlaps)
+                    Node(scores)
+                    Node(maxOutputSize)
+                    Node(opNode)
+                }
+
+
+
+                val overlapsVal = Nd4j.create(arrayOf(
+                    floatArrayOf(0f,0f,1f,1f),
+                    floatArrayOf(0f,0.1f,1f,1.1f),
+                    floatArrayOf(0f,-0.1f,1f,0.9f),
+                    floatArrayOf(0f,10f,1f,11f)
+                )).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val scoresVal = Nd4j.create(listOf(0.9f,0.75f,0.6f,0.95f).toFloatArray())
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val inputs = mapOf("overlaps" to overlapsVal,"scores" to scoresVal)
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("overlaps","scores"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+            else if(inputFrameworkOpName == "NonMaxSuppressionV2") {
+                val overlaps = NodeDef {
+                    name = "overlaps"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val scores = NodeDef {
+                    name = "scores"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val maxOutputSize = NodeDef {
+                    name = "maxOutputSize"
+                    op = "Const"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value",AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(listOf(1))
+                            dtype = DataType.DT_INT32
+
+                        }
+                    })
+                }
+
+                val iouThreshold = NodeDef {
+                    name = "iouThreshold"
+                    op = "Const"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            FloatData(listOf(0.5f))
+                            dtype = DataType.DT_FLOAT
+
+                        }
+                    })
+                }
+
+
+
+                val opNode = NodeDef {
+                    Input("overlaps")
+                    Input("scores")
+                    Input("maxOutputSize")
+                    Input("iouThreshold")
+                    op = tensorflowOpDef.name
+                    name = "output"
+
+                }
+
+                val graphDef = GraphDef {
+                    Node(overlaps)
+                    Node(scores)
+                    Node(iouThreshold)
+                    Node(maxOutputSize)
+                    Node(opNode)
+                }
+
+
+
+                val overlapsVal = Nd4j.create(arrayOf(
+                    floatArrayOf(0f,0f,1f,1f),
+                    floatArrayOf(0f,0.1f,1f,1.1f),
+                    floatArrayOf(0f,-0.1f,1f,0.9f),
+                    floatArrayOf(0f,10f,1f,11f)
+                )).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val scoresVal = Nd4j.create(listOf(0.9f,0.75f,0.6f,0.95f).toFloatArray())
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val inputs = mapOf("overlaps" to overlapsVal,"scores" to scoresVal)
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("overlaps","scores"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else {
+                //V3 and later
+                val overlaps = NodeDef {
+                    name = "overlaps"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val scores = NodeDef {
+                    name = "scores"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val maxOutputSize = NodeDef {
+                    name = "maxOutputSize"
+                    op = "Const"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(listOf(1))
+                            dtype = DataType.DT_INT32
+
+                        }
+                    })
+                }
+
+                val overlapThreshold = NodeDef {
+                    name = "iouThreshold"
+                    op = "Const"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            FloatData(listOf(0.5f))
+                            dtype = DataType.DT_FLOAT
+
+                        }
+                    })
+                }
+
+                val scoreThreshold = NodeDef {
+                    name = "scoreThreshold"
+                    op = "Const"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            FloatData(listOf(0.5f))
+                            dtype = DataType.DT_FLOAT
+
+                        }
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("overlaps")
+                    Input("scores")
+                    Input("maxOutputSize")
+                    Input("iouThreshold")
+                    Input("scoreThreshold")
+                    op = tensorflowOpDef.name
+                    name = "output"
+
+                }
+
+                val graphDef = GraphDef {
+                    Node(overlaps)
+                    Node(scores)
+                    Node(scoreThreshold)
+                    Node(overlapThreshold)
+                    Node(maxOutputSize)
+                    Node(opNode)
+                }
+
+
+
+                val overlapsVal = Nd4j.create(arrayOf(
+                    floatArrayOf(0f,0f,1f,1f),
+                    floatArrayOf(0f,0.1f,1f,1.1f),
+                    floatArrayOf(0f,-0.1f,1f,0.9f),
+                    floatArrayOf(0f,10f,1f,11f)
+                )).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val scoresVal = Nd4j.create(listOf(0.9f,0.75f,0.6f,0.95f).toFloatArray())
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val inputs = mapOf("overlaps" to overlapsVal,"scores" to scoresVal)
+
+                return listOf(GraphInput(
+                    graphDef = graphDef,
+                    inputNames = listOf("overlaps","scores"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+        }
+
+        "non_max_suppression_overlaps" -> {
+            val overlaps = NodeDef {
+                name = "overlaps"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val scores = NodeDef {
+                name = "scores"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val maxOutputSize = NodeDef {
+                name = "maxOutputSize"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        Int32Data(listOf(1))
+                        dtype = DataType.DT_INT32
+
+                    }
+                })
+            }
+
+            val overlapThreshold = NodeDef {
+                name = "overlapThreshold"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        FloatData(listOf(2.0f))
+                        dtype = DataType.DT_FLOAT
+
+                    }
+                })
+            }
+
+            val scoreThreshold = NodeDef {
+                name = "scoreThreshold"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        FloatData(listOf(0.5f))
+                        dtype = DataType.DT_FLOAT
+
+                    }
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("overlaps")
+                Input("scores")
+                Input("maxOutputSize")
+                Input("overlapThreshold")
+                Input("scoreThreshold")
+                op = tensorflowOpDef.name
+                name = "output"
+
+            }
+
+            val graphDef = GraphDef {
+                Node(overlaps)
+                Node(scores)
+                Node(scoreThreshold)
+                Node(overlapThreshold)
+                Node(maxOutputSize)
+                Node(opNode)
+            }
+
+
+
+            val overlapsVal = Nd4j.create(arrayOf(
+                floatArrayOf(0f,0f,1f,1f),
+                floatArrayOf(0f,0.1f,1f,1.1f),
+                floatArrayOf(0f,-0.1f,1f,0.9f),
+                floatArrayOf(0f,10f,1f,11f)
+            )).castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val scoresVal = Nd4j.create(listOf(0.9f,0.75f,0.6f,0.95f).toFloatArray())
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val inputs = mapOf("overlaps" to overlapsVal,"scores" to scoresVal)
+
+            return listOf(GraphInput(
+                graphDef = graphDef,
+                inputNames = listOf("overlaps","scores"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+
+            ))
+        }
+
+        "nth_element" -> {
+            val ret = ArrayList()
+            listOf(true,false).forEach { reverse ->
+                val input = NodeDef {
+                    name = "input"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val n = NodeDef {
+                    name = "n"
+                    op = "Const"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value",AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(listOf(2))
+                            dtype = DataType.DT_INT32
+
+                        }
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("input")
+                    Input("n")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+
+                    Attribute("reverse", AttrValue {
+                        type = DataType.DT_BOOL
+                        b = reverse
+                    })
+
+                }
+
+                val graphDef = GraphDef {
+                    Node(input)
+                    Node(n)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 6, 6)
+                    .reshape(2, 3)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+                val inputs = mapOf("input" to xVal)
+
+                ret.add(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("input"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+            return ret
+        }
+
+
+        "cholesky" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.create(floatArrayOf(4f,12f,-16f, 12f ,37f,-43f, -16f, -43f, 98f))
+                .reshape(3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+
+        "matrix_diag_part"  -> {
+            val retSolve = ArrayList()
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+
+            val opNode = NodeDef {
+                Input("input")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(opNode)
+            }
+
+
+            val inputVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+            val inputs = mapOf("input" to inputVal)
+
+
+            retSolve.add(GraphInput(
+                graphDef = graphDef, inputNames = listOf("input"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+
+            return retSolve
+
+        }
+
+
+        "matrix_set_diag","matrix_diag_part"  -> {
+            val retSolve = ArrayList()
+            val input = NodeDef {
+                name = "input"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val diagonal = NodeDef {
+                name = "diagonal"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+            val opNode = NodeDef {
+                Input("input")
+                Input("diagonal")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+
+            }
+
+            val graphDef = GraphDef {
+                Node(input)
+                Node(diagonal)
+                Node(opNode)
+            }
+
+
+            val inputVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val diagonalVal = Nd4j.zeros(2).addi(1)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("input" to inputVal,"diagonal" to diagonalVal)
+
+
+            retSolve.add(GraphInput(
+                graphDef = graphDef, inputNames = listOf("input","diagonal"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+
+            return retSolve
+
+        }
+
+        "solve","triangular_solve" -> {
+            val retSolve = ArrayList()
+            listOf(false,true).forEach { useAdjoint ->
+                val a = NodeDef {
+                    name = "a"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val bNode = NodeDef {
+                    name = "b"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+
+
+                val opNode = NodeDef {
+                    Input("a")
+                    Input("b")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                    Attribute("adjoint", AttrValue {
+                        b = useAdjoint
+                    })
+
+                }
+
+                val graphDef = GraphDef {
+                    Node(a)
+                    Node(bNode)
+                    Node(opNode)
+                }
+
+
+                val aVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val bVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val inputs = mapOf("a" to aVal,"b" to bVal)
+
+
+                retSolve.add(GraphInput(
+                    graphDef = graphDef, inputNames = listOf("a","b"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+            return retSolve
+
+        }
+
+        "matrix_determinant","log_matrix_determinant" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+            }
+
+            val finalResult = NodeDef {
+                Input("output:1")
+                op = "Identity"
+                name = "finalResult"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+            }
+
+            if(nd4jOpName == "log_matrix_determinant") {
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                    Node(finalResult)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val inputs = mapOf("x" to xVal)
+
+
+                return listOf(GraphInput(
+                    graphDef = graphDef, inputNames = listOf("x"),
+                    outputNames = listOf("finalResult"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+
+            } else {
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val inputs = mapOf("x" to xVal)
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("x"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+        }
+
+
+        "lu" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "matrix_inverse" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+
+            }
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "in_top_k" -> {
+            if(tensorflowOpDef.name == "InTopK") {
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val predictions = NodeDef {
+                    name = "predictions"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("predictions")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("k", AttrValue {
+                        i = 2
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(predictions)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val predictionsArr = Nd4j.linspace(1, 2, 2)
+                    .reshape(2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+                val inputs = mapOf("x" to xVal,"predictions" to predictionsArr)
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("x","predictions"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            } else {
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_FLOAT
+                    })
+                }
+
+                val predictions = NodeDef {
+                    name = "predictions"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val k = NodeDef {
+                    name = "k"
+                    op = "Const"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(listOf(2))
+                            dtype = DataType.DT_INT32
+
+                        }
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("predictions")
+                    Input("k")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(predictions)
+                    Node(k)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+                val predictionsArr = Nd4j.linspace(1, 2, 2)
+                    .reshape(2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+                val inputs = mapOf("x" to xVal,"predictions" to predictionsArr)
+
+
+                return listOf(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("x","predictions"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+
+
+        }
+
+
+        "onehot" -> {
+            val indices = NodeDef {
+                name = "indices"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+            }
+
+            val depth = NodeDef {
+                name = "depth"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        dtype = DataType.DT_INT32
+                        Int32Data(listOf(1))
+
+                    }
+                })
+            }
+
+            val onValue = NodeDef {
+                name = "on"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        dtype = DataType.DT_INT64
+                        Int64Data(listOf(1))
+
+                    }
+                })
+            }
+
+
+            val offValue = NodeDef {
+                name = "off"
+                op = "Const"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        dtype = DataType.DT_INT64
+                        Int64Data(listOf(0))
+
+                    }
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("indices")
+                Input("depth")
+                Input("on")
+                Input("off")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("TI",AttrValue {
+                    type = DataType.DT_INT64
+                })
+                Attribute("T",AttrValue {
+                    type = DataType.DT_INT64
+                })
+
+                Attribute("axis",AttrValue {
+                    i = 0
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(indices)
+                Node(depth)
+                Node(onValue)
+                Node(offValue)
+                Node(opNode)
+            }
+
+
+            val indicesVal = Nd4j.linspace(1, 4, 4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.INT64)
+            val inputs = mapOf("indices" to indicesVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("indices"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "cross" -> {
+            val a = NodeDef {
+                name = "a"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val b = NodeDef {
+                name = "b"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("a")
+                Input("b")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(a)
+                Node(b)
+                Node(opNode)
+            }
+
+
+            val aVal = Nd4j.linspace(1, 27, 27)
+                .reshape(3,3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+            val bVal = Nd4j.linspace(1, 27, 27)
+                .reshape(3,3,3)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.FLOAT)
+
+
+            val inputs = mapOf("a" to aVal,"b" to bVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("a","b"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "transpose" ->  {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val tensorNode2 = NodeDef {
+                op = "Const"
+                name = "perm"
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        Int32Data(listOf(0,1))
+                        Shape(listOf(2))
+                        dtype = DataType.DT_INT32
+                    }
+                })
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                Input("perm")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tperm",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(tensorNode2)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+
+            val inputs = mapOf("x" to xVal)
+
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+        }
+        "relu", "relu6" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+            return listOf(GraphInput(
+                graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                }, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "depth_to_space","space_to_depth" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("data_format", AttrValue {
+                    s = ByteString.copyFrom("NHWC".toByteArray(Charset.defaultCharset()))
+                })
+                Attribute("block_size", AttrValue {
+                    i = 2
+                })
+            }
+
+            val xVal = Nd4j.linspace(1, 256, 256)
+                .reshape(4, 4,4,4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+            return listOf(GraphInput(
+                graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                }, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "softmax","digamma","diag","diag_part","lgamma" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T", AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+            return listOf(GraphInput(
+                graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                }, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "cumsum","cumprod" -> {
+            val ret = ArrayList()
+            listOf(false,true).forEach { reverse ->
+                listOf(false,true).forEach { exclusive ->
+                    val inputNames = listOf("x")
+                    val tensorNode = NodeDef {
+                        name = "x"
+                        op = "Placeholder"
+                        Attribute("dtype",AttrValue {
+                            type = DataType.DT_DOUBLE
+                        })
+                    }
+
+                    val dimensions = listOf(1)
+                    val tensorNode2 = NodeDef {
+                        op = "Const"
+                        name = "dimensions"
+                        Attribute("value",AttrValue {
+                            tensor = TensorProto {
+                                Int32Data(dimensions)
+                                dtype = DataType.DT_INT32
+                                tensorShape = TensorShapeProto {
+                                    Dims(listOf())
+                                }
+                            }
+                        })
+                        Attribute("dtype",AttrValue {
+                            type = DataType.DT_INT32
+                        })
+                    }
+
+                    val opNode = NodeDef {
+                        Input("x")
+                        Input("dimensions")
+                        op = tensorflowOpDef.name
+                        name = "output"
+                        Attribute("T",AttrValue {
+                            type = DataType.DT_DOUBLE
+                        })
+                        Attribute("exclusive",AttrValue {
+                            b = exclusive
+                        })
+
+                        Attribute("reverse",AttrValue {
+                            b = reverse
+                        })
+                    }
+
+
+
+                    val graphDef = GraphDef {
+                        Node(tensorNode)
+                        Node(tensorNode2)
+                        Node(opNode)
+                    }
+
+                    val xVal = Nd4j.linspace(1, 4, 4)
+                        .reshape(2, 2)
+                        .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+                    val inputs = mapOf("x" to xVal)
+                    ret.add(GraphInput(
+                        graphDef =graphDef, inputNames = inputNames,
+                        outputNames = listOf("output"),
+                        inputArrays = inputs,
+                        dynamicArrays = inputs
+                    ))
+                }
+            }
+
+            return ret
+
+        }
+
+        "Assert" -> {
+            val tensorNode = NodeDef {
+                name = "condition"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+            val tensorNode2 = NodeDef {
+                op = "Placeholder"
+                name = "data"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("condition")
+                Input("data")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    ListDataType(listOf(DataType.DT_DOUBLE))
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+                Node(tensorNode2)
+            }
+
+            val inputs = mapOf("data" to Nd4j.linspace(1,4,4).castTo(
+                org.nd4j.linalg.api.buffer.DataType.DOUBLE
+            ),"condition" to Nd4j.ones(2).addi(1).castTo(org.nd4j.linalg.api.buffer.DataType.BOOL))
+            return listOf(GraphInput(graphDef = graphDef,
+                inputNames = listOf("condition","data"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+
+        "Where" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                Input("x")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+            val inputs = mapOf("x" to Nd4j.linspace(1,4,4).castTo(
+                org.nd4j.linalg.api.buffer.DataType.DOUBLE
+            ))
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+
+
+        "boolean_or" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val inputNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+
+            val secondNode = NodeDef {
+                name = "y"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                Input("y")
+                name = "and"
+                op = tensorflowOpDef.name
+            }
+
+
+            val inputs = mapOf("x" to Nd4j.ones(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.BOOL
+            ), "y" to Nd4j.zeros(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.BOOL
+            ))
+
+
+            val graphDef = GraphDef {
+                Node(inputNode)
+                Node(secondNode)
+                Node(opNode)
+            }
+
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x","y"),
+                outputNames = listOf("and"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+
+        "boolean_and" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val inputNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+
+            val secondNode = NodeDef {
+                name = "y"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                Input("y")
+                name = "and"
+                op = tensorflowOpDef.name
+            }
+
+
+            val inputs = mapOf("x" to Nd4j.ones(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.BOOL
+            ), "y" to Nd4j.zeros(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.BOOL
+            ))
+
+
+            val graphDef = GraphDef {
+                Node(inputNode)
+                Node(secondNode)
+                Node(opNode)
+            }
+
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x","y"),
+                outputNames = listOf("and"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+
+        "igamma","igammac" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val a = NodeDef {
+                name = "a"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val x = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+
+            val opNode = NodeDef {
+                Input("a")
+                Input("x")
+                name = "igamma"
+                op = tensorflowOpDef.name
+                Attribute("T",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+
+            val inputs = mapOf("a" to Nd4j.ones(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.FLOAT
+            ),"x" to Nd4j.ones(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.FLOAT
+            ))
+
+            val graphDef = GraphDef {
+                Node(a)
+                Node(x)
+                Node(opNode)
+            }
+
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("a","x"),
+                outputNames = listOf("igamma"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+        "boolean_not" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val inputNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_BOOL
+                })
+            }
+
+
+
+
+            val opNode = NodeDef {
+                Input("x")
+                name = "not"
+                op = tensorflowOpDef.name
+            }
+
+
+            val inputs = mapOf("x" to Nd4j.ones(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.BOOL
+            ))
+
+            val graphDef = GraphDef {
+                Node(inputNode)
+                Node(opNode)
+            }
+
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x"),
+                outputNames = listOf("not"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+
+
+        "cast" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val inputNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                name = "output"
+                op = tensorflowOpDef.name
+                Attribute("SrcT",AttrValue {
+                    type = DataType.DT_FLOAT
+                })
+                Attribute("DstT",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(inputNode)
+                Node(opNode)
+            }
+
+            val inputs = mapOf("x" to Nd4j.ones(2,2).castTo(
+                org.nd4j.linalg.api.buffer.DataType.FLOAT
+            ))
+
+            return listOf(GraphInput(graphDef = graphDef,
+                inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = emptyMap()))
+        }
+
+        "noop" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val opNode = NodeDef {
+                name = "noop"
+                op = tensorflowOpDef.name
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(opNode)
+            }
+
+            return listOf(GraphInput(graphDef = graphDef,
+                inputNames = listOf(),
+                outputNames = listOf(),
+                inputArrays = emptyMap(),
+                dynamicArrays = emptyMap()))
+        }
+
+        "While" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    ListDataType(listOf(DataType.DT_DOUBLE))
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("x")
+                name = "while"
+                op = tensorflowOpDef.name
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+            }
+
+            val inputs = mapOf("x" to Nd4j.scalar(1.0))
+
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+        "unique_with_counts","unique" -> {
+            println("Running op def for op ${tensorflowOpDef.name}")
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            if(tensorflowOpDef.name == "UniqueWithCountsV2" || tensorflowOpDef.name == "UniqueV2") {
+                val axis = NodeDef {
+                    name = "axis"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT64
+                    })
+                }
+
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("axis")
+                    name = "output"
+                    op = tensorflowOpDef.name
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(axis)
+                    Node(opNode)
+                }
+
+                val inputs = mapOf("x" to Nd4j.linspace(1,4,4).reshape(2,2).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE),
+                    "axis" to Nd4j.scalar(1).reshape(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT64))
+
+                return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x","axis"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs))
+            }
+            else {
+                val opNode = NodeDef {
+                    Input("x")
+                    name = "output"
+                    op = tensorflowOpDef.name
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                }
+
+                val inputs = mapOf("x" to Nd4j.linspace(1,4,4).castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE))
+
+                return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs))
+            }
+
+        }
+
+
+        "pad" -> {
+            if(tensorflowOpDef.name == "Pad") {
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val tensorNode2 = NodeDef {
+                    op = "Placeholder"
+                    name = "paddings"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("paddings")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                    Attribute("Tpaddings", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                    Node(tensorNode2)
+                }
+
+                val inputs = mapOf("x" to Nd4j.linspace(1,4,4).castTo(
+                    org.nd4j.linalg.api.buffer.DataType.DOUBLE
+                ),"paddings" to Nd4j.ones(1,2).addi(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32))
+                return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x","paddings"),outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs))
+            } else if(tensorflowOpDef.name == "PadV2"){
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val tensorNode2 = NodeDef {
+                    op = "Placeholder"
+                    name = "paddings"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val constantValues = NodeDef {
+                    op = "Const"
+                    name = "constant_values"
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            DoubleData(listOf(1.0))
+                            dtype = DataType.DT_DOUBLE
+                            tensorShape = TensorShapeProto {
+                                Dims(listOf())
+                            }
+                        }
+                    })
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("paddings")
+                    Input("constant_values")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                    Attribute("Tpaddings",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(opNode)
+                    Node(constantValues)
+                    Node(tensorNode2)
+
+                }
+
+                val inputs = mapOf("x" to Nd4j.linspace(1,4,4).castTo(
+                    org.nd4j.linalg.api.buffer.DataType.DOUBLE
+                ),"paddings" to Nd4j.ones(1,2).addi(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32))
+                return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x","paddings"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs))
+            } else {
+                throw IllegalArgumentException("Illegal mapping for padding op $tensorflowOpDef.name")
+            }
+
+        }
+
+
+        "reshape" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val tensorNode2 = NodeDef {
+                op = "Placeholder"
+                name = "shape"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                Input("shape")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(opNode)
+                Node(tensorNode2)
+            }
+
+            val inputs = mapOf("x" to Nd4j.linspace(1,4,4).castTo(
+                org.nd4j.linalg.api.buffer.DataType.DOUBLE
+            ),"shape" to Nd4j.ones(2).addi(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32))
+            return listOf(GraphInput(graphDef = graphDef,inputNames = listOf("x","shape"),outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs))
+        }
+
+        "reduce_logsumexp" -> {
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                Input("dimensions")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tidx",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("exclusive",AttrValue {
+                    b = false
+                })
+            }
+
+            val dimensions = listOf(0)
+            val tensorNode2 = NodeDef {
+                op = "Const"
+                name = "dimensions"
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        Int32Data(dimensions)
+                        dtype = DataType.DT_INT32
+                        tensorShape = TensorShapeProto {
+                            Dims(listOf())
+                        }
+                    }
+                })
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(tensorNode2)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+            return listOf(GraphInput(
+                graphDef =graphDef, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+        }
+
+        "argmin", "argmax" -> {
+            val ret = ArrayList()
+            listOf(true, false).forEach { keepDim ->
+                val tensorNode = NodeDef {
+                    name = "x"
+                    op = "Placeholder"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("x")
+                    Input("dimensions")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T",AttrValue {
+                        type = DataType.DT_DOUBLE
+                    })
+                    Attribute("Tidx",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val dimensions = listOf(0)
+                val tensorNode2 = NodeDef {
+                    op = "Const"
+                    name = "dimensions"
+                    Attribute("value", AttrValue {
+                        tensor = TensorProto {
+                            Int32Data(dimensions)
+                            dtype = DataType.DT_INT32
+                            tensorShape = TensorShapeProto {
+                                Dims(listOf())
+                            }
+                        }
+                    })
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val graphDef = GraphDef {
+                    Node(tensorNode)
+                    Node(tensorNode2)
+                    Node(opNode)
+                }
+
+
+                val xVal = Nd4j.linspace(1, 4, 4)
+                    .reshape(2, 2)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+                val inputs = mapOf("x" to xVal)
+
+                ret.add(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("x"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+            return ret
+        }
+
+        "pow" -> {
+            val ret = ArrayList()
+            val tensorNode = NodeDef {
+                name = "x"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val tensorNode2 = NodeDef {
+                op = "Const"
+                name = "y"
+                Attribute("value",AttrValue {
+                    tensor = TensorProto {
+                        DoubleData(listOf(1.0))
+                        dtype = DataType.DT_DOUBLE
+                        tensorShape = TensorShapeProto {
+                            Dims(listOf())
+                        }
+                    }
+                })
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("x")
+                Input("y")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(tensorNode2)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 4, 4)
+                .reshape(2, 2)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+            val inputs = mapOf("x" to xVal)
+
+            ret.add(GraphInput(
+                graphDef =graphDef, inputNames = listOf("x"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+            return ret
+        }
+
+
+
+        //scatter_div
+        //TODO: Revisit. TF op validation seems to be different than ours.
+        "scatter_add","scatter_sub","scatter_min","scatter_sub","scatter_min","scatter_mul","scatter_update","scatter_nd","scatter_nd_add","scatter_nd_sub","scatter_nd_update" -> {
+            val ret = ArrayList()
+            listOf(true,false).forEach { lock ->
+                val xRef = NodeDef {
+                    name = "shape"
+                    op = "Placeholder"
+                    Attribute("dtype",AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+                val tensorNode2 = NodeDef {
+                    op = "Placeholder"
+                    name = "indices"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+                val updates2 = NodeDef {
+                    op = "Placeholder"
+                    name = "updates"
+                    Attribute("dtype", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+                val opNode = NodeDef {
+                    Input("indices")
+                    Input("updates")
+                    Input("shape")
+                    op = tensorflowOpDef.name
+                    name = "output"
+                    Attribute("T", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                    Attribute("Tindices", AttrValue {
+                        type = DataType.DT_INT32
+                    })
+                }
+
+
+                val graphDef = GraphDef {
+                    Node(xRef)
+                    Node(tensorNode2)
+                    Node(updates2)
+                    Node(opNode)
+                }
+
+
+                //from testScatterOpGradients.
+                val shape = Nd4j.scalar(8).reshape(1).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+                val indices = Nd4j.create(floatArrayOf(4f,3f,1f,7f)).reshape(4,1)
+                    .castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+                val updates = Nd4j.linspace(1,4,4).reshape(4).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+
+
+                val inputs = mapOf("shape" to shape,"updates" to updates,"indices" to indices)
+
+                ret.add(GraphInput(
+                    graphDef =graphDef, inputNames = listOf("indices","updates","shape"),
+                    outputNames = listOf("output"),
+                    inputArrays = inputs,
+                    dynamicArrays = inputs
+                ))
+            }
+
+
+
+
+
+
+            return ret
+        }
+
+
+
+
+        "segment_mean", "segment_min","segment_max","segment_prod","segment_sum" -> {
+            val ret = ArrayList()
+            val tensorNode = NodeDef {
+                name = "data"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val segmentIds = NodeDef {
+                op = "Placeholder"
+                name = "segment_ids"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+            val opNode = NodeDef {
+                Input("data")
+                Input("segment_ids")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tindices",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(segmentIds)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 12, 12)
+                .reshape(3, 4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+            val indices = Nd4j.create(floatArrayOf(1.0f,2.0f,3.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val inputs = mapOf("data" to xVal,"segment_ids" to indices)
+
+            ret.add(GraphInput(
+                graphDef =graphDef, inputNames = listOf("data","segment_ids"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+
+            return ret
+        }
+
+
+        "unsorted_segment_sum", "unsorted_segment_prod","unsorted_segment_min","unsorted_segment_max" -> {
+            val ret = ArrayList()
+            val tensorNode = NodeDef {
+                name = "data"
+                op = "Placeholder"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+            }
+
+            val segmentIds = NodeDef {
+                op = "Placeholder"
+                name = "segment_ids"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+            val numSegmentsNode = NodeDef {
+                op = "Const"
+                name = "num_segments"
+                Attribute("dtype",AttrValue {
+                    type = DataType.DT_INT32
+                })
+
+                Attribute(name = "value",value = AttrValue {
+                    tensor = TensorProto {
+                        Shape(listOf())
+                        Int32Data(listOf(2))
+                        DataType(DataType.DT_INT32)
+                    }
+                })
+            }
+
+            val opNode = NodeDef {
+                Input("data")
+                Input("segment_ids")
+                Input("num_segments")
+                op = tensorflowOpDef.name
+                name = "output"
+                Attribute("T",AttrValue {
+                    type = DataType.DT_DOUBLE
+                })
+                Attribute("Tindices",AttrValue {
+                    type = DataType.DT_INT32
+                })
+                Attribute("Tnumsegments",AttrValue {
+                    type = DataType.DT_INT32
+                })
+            }
+
+
+
+            val graphDef = GraphDef {
+                Node(tensorNode)
+                Node(segmentIds)
+                Node(numSegmentsNode)
+                Node(opNode)
+            }
+
+
+            val xVal = Nd4j.linspace(1, 12, 12)
+                .reshape(3, 4)
+                .castTo(org.nd4j.linalg.api.buffer.DataType.DOUBLE)
+
+
+            val indices = Nd4j.create(floatArrayOf(0.0f,1.0f,0.0f)).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val numSegments = Nd4j.scalar(2).castTo(org.nd4j.linalg.api.buffer.DataType.INT32)
+            val inputs = mapOf("data" to xVal,"segment_ids" to indices,"num_segments" to numSegments)
+
+            ret.add(GraphInput(
+                graphDef =graphDef, inputNames = listOf("data","segment_ids","num_segments"),
+                outputNames = listOf("output"),
+                inputArrays = inputs,
+                dynamicArrays = inputs
+            ))
+
+
+            return ret
+        }
+
+
+        else -> {
+            throw IllegalArgumentException("Illegal op name $inputFrameworkOpName")
+        }
+    }
+}
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/importer/TestTensorflowImporter.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/importer/TestTensorflowImporter.kt
new file mode 100644
index 000000000..854a377bb
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/importer/TestTensorflowImporter.kt
@@ -0,0 +1,39 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.nd4j.samediff.frameworkimport.tensorflow.importer
+
+import junit.framework.Assert
+import org.junit.Ignore
+import org.junit.Test
+import org.nd4j.common.io.ClassPathResource
+
+class TestTensorflowImporter {
+
+    @Test
+    @Ignore
+    fun testImporter() {
+        val tfFrameworkImport = TensorflowFrameworkImporter()
+        val tfFile = ClassPathResource("lenet_frozen.pb").file
+        val graph  = tfFrameworkImport.runImport(tfFile.absolutePath)
+        //note this is just a test to make sure everything runs, we test the underlying import elsewhere
+        Assert.assertNotNull(graph)
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/loader/TestTensorflowProcessLoader.kt b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/loader/TestTensorflowProcessLoader.kt
new file mode 100644
index 000000000..7f4e7a40c
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/test/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/loader/TestTensorflowProcessLoader.kt
@@ -0,0 +1,57 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.nd4j.samediff.frameworkimport.tensorflow.loader
+
+import junit.framework.Assert.assertEquals
+import org.junit.Test
+import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
+import org.nd4j.samediff.frameworkimport.registry.OpMappingRegistry
+import org.nd4j.samediff.frameworkimport.tensorflow.definitions.registry
+import org.nd4j.samediff.frameworkimport.tensorflow.process.TensorflowMappingProcessLoader
+import org.tensorflow.framework.*
+
+class TestTensorflowProcessLoader {
+
+    @Test
+    fun testLoader() {
+        val tensorflowOpMappingRegistry = OpMappingRegistry(
+           "tensorflow", OpDescriptorLoaderHolder.nd4jOpDescriptor)
+
+        val loader = TensorflowMappingProcessLoader(tensorflowOpMappingRegistry)
+        println(loader)
+        registry().inputFrameworkOpNames().forEach { name ->
+            if(registry().hasMappingOpProcess(name)) {
+                val process = registry().lookupOpMappingProcess(name)
+                val serialized = process.serialize()
+                val created = loader.createProcess(serialized)
+                assertEquals("Op name $name failed with process tensor rules ${process.tensorMappingRules()} and created tensor rules ${created.tensorMappingRules()} with attributes ${process.attributeMappingRules()} and created attribute rules ${created.attributeMappingRules()}",process,created)
+            }
+
+        }
+
+    }
+
+    @Test
+    fun saveTest() {
+        registry().saveProcessesAndRuleSet()
+    }
+
+}
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/lenet_frozen.pb b/nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/lenet_frozen.pb
new file mode 100644
index 000000000..25ad7a7bd
Binary files /dev/null and b/nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/lenet_frozen.pb differ
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/logback.xml b/nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/logback.xml
new file mode 100644
index 000000000..98e6a0440
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/logback.xml
@@ -0,0 +1,51 @@
+
+
+
+
+	
+
+	
+		logs/application.log
+		
+			 %logger{15} - %message%n%xException{5}
+			
+		
+	
+
+	
+		
+			 %logger{15} - %message%n%xException{5}
+			
+		
+	
+
+    
+	
+	
+	
+
+
+	
+		
+		
+	
+
+
\ No newline at end of file
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/tensorflow-processes.pbtxt b/nd4j/samediff-import/samediff-import-tensorflow/tensorflow-processes.pbtxt
new file mode 100644
index 000000000..ecfd3b869
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/tensorflow-processes.pbtxt
@@ -0,0 +1,15859 @@
+mappings {
+  frameworkName: "tensorflow"
+  opName: "unique"
+  inputFrameworkOpName: "UniqueV2"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "x"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "UniqueV2"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "conv2d"
+  inputFrameworkOpName: "Conv2D"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    inputTensorName: "filter"
+    outputTensorName: "input"
+    outputTensorName: "weights"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    inputToOutput {
+      key: "weights"
+      value: "filter"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "wFormat"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "wFormat"
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "stringnotequalsadapterrule"
+    functionName: "stringnotequalsadapterrule"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCHW"
+    inputFloatName: "data_format"
+    inputToOutput {
+      key: "isNCHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCHW"
+      transformerArgs {
+        name: "data_format"
+        argIndex: 9
+        stringValue: "NCHW"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "stringequals"
+    functionName: "stringequals"
+    inputStringAttrName: "padding"
+    inputStringAttrName: "padding"
+    outputIntName: "isSameMode"
+    inputToOutput {
+      key: "isSameMode"
+      value: "padding"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isSameMode"
+      transformerArgs {
+        name: "padding"
+        argType: STRING
+        argIndex: 8
+        stringValue: "SAME"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "sH"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "sH"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 2
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 2
+        stringValue: "strides"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "sW"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "sW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    transformerArgs {
+      key: "sW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 3
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 3
+        stringValue: "strides"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "dH"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "dH"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dH"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 2
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 1
+        argIndex: 6
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 6
+        stringValue: "dilations"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "conditionalfieldvalueintindex"
+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
+    outputIntName: "dW"
+    inputFloatName: "targetValue"
+    inputFloatName: "trueIndex"
+    inputFloatName: "falseIndex"
+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
+      key: "dW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    transformerArgs {
+      key: "dW"
+      transformerArgs {
+        name: "targetValue"
+        stringValue: "NCHW"
+      }
+      transformerArgs {
+        name: "trueIndex"
+        int64Value: 3
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "falseIndex"
+        int64Value: 2
+        argIndex: 7
+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
+        argIndex: 7
+        stringValue: "dilations"
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "kH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "kH"
+        int64Value: -1
+        argType: INT64
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "kW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "kW"
+        int64Value: -1
+        argType: INT64
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "Conv2D"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "random_poisson"
+  inputFrameworkOpName: "RandomPoisson"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "shape"
+    inputTensorName: "rate"
+    outputTensorName: "shape"
+    outputTensorName: "lambda"
+    inputToOutput {
+      key: "shape"
+      value: "shape"
+    }
+    inputToOutput {
+      key: "lambda"
+      value: "rate"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "RandomPoisson"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputIntName: "seed"
+    outputIntName: "seed"
+    inputDataTypeName: "dtype"
+    outputDataTypeName: "dtype"
+    inputToOutput {
+      key: "seed"
+      value: "seed"
+    }
+    inputToOutput {
+      key: "dtype"
+      value: "dtype"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "RandomPoisson"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "maxpool2d"
+  inputFrameworkOpName: "MaxPool"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "pW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 5
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "dW"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "dW"
+        int64Value: 1
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "dH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "dH"
+        int64Value: 1
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputIntName: "extraParam0"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "extraParam0"
+        int64Value: 1
+        argType: INT64
+        argIndex: 9
+      }
+    }
+    inputFrameworkOpName: "MaxPool"
+  }
+  rule {
+    ruleName: "stringnotequalsadapterrule"
+    functionName: "stringnotequalsadapterrule"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCHW"
+    inputFloatName: "data_format"
+    inputToOutput {
+      key: "isNCHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCHW"
+      transformerArgs {
+        name: "data_format"
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+}
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+  frameworkName: "tensorflow"
+  opName: "matrix_band_part"
+  inputFrameworkOpName: "MatrixBandPart"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    inputTensorName: "num_lower"
+    inputTensorName: "num_upper"
+    outputTensorName: "input"
+    outputTensorName: "minLowerT"
+    outputTensorName: "maxUpperT"
+    inputToOutput {
+      key: "input"
+      value: "input"
+    }
+    inputToOutput {
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+      value: "num_lower"
+    }
+    inputToOutput {
+      key: "maxUpperT"
+      value: "num_upper"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "MatrixBandPart"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "equals"
+  inputFrameworkOpName: "ApproximateEqual"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
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+    inputTensorName: "y"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    inputToOutput {
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+      value: "y"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "ApproximateEqual"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "ApproximateEqual"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "stop_gradient"
+  inputFrameworkOpName: "StopGradient"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "input"
+    outputTensorName: "input"
+    inputToOutput {
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+      value: "input"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "StopGradient"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "StopGradient"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "scatter_add"
+  inputFrameworkOpName: "TensorScatterAdd"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "tensor"
+    inputTensorName: "indices"
+    inputTensorName: "updates"
+    outputTensorName: "input"
+    outputTensorName: "indices"
+    outputTensorName: "updates"
+    inputToOutput {
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+      value: "tensor"
+    }
+    inputToOutput {
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+      value: "indices"
+    }
+    inputToOutput {
+      key: "updates"
+      value: "updates"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "TensorScatterAdd"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "lock"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "lock"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "TensorScatterAdd"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "checkIndices"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "checkIndices"
+        argType: BOOL
+        argIndex: 1
+      }
+    }
+    inputFrameworkOpName: "TensorScatterAdd"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "avgpool2d"
+  inputFrameworkOpName: "AvgPool"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "value"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "value"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "AvgPool"
+  }
+  rule {
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+    functionName: "stringnotequalsadapterrule"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCHW"
+    inputFloatName: "data_format"
+    inputToOutput {
+      key: "isNCHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCHW"
+      transformerArgs {
+        name: "data_format"
+        argIndex: 10
+        stringValue: "NCHW"
+      }
+    }
+    inputFrameworkOpName: "AvgPool"
+  }
+  rule {
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+    functionName: "stringequals"
+    inputStringAttrName: "padding"
+    inputStringAttrName: "padding"
+    outputIntName: "isSameMode"
+    inputToOutput {
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+      value: "padding"
+    }
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "padding"
+        argType: STRING
+        argIndex: 8
+        stringValue: "SAME"
+      }
+    }
+    inputFrameworkOpName: "AvgPool"
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+    functionName: "conditionalfieldvalueintindex"
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+    inputFloatName: "falseIndex"
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+    inputToOutput {
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+      value: "data_format"
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+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        stringValue: "NCHW"
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+      transformerArgs {
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+}
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+}
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+      key: "sH"
+      transformerArgs {
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+        stringValue: "NCHW"
+      }
+      transformerArgs {
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+        argIndex: 2
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+      transformerArgs {
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+      transformerArgs {
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+        stringValue: "strides"
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+    transformerArgs {
+      key: "sH"
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+      transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+    functionName: "conditionalfieldvalueintindex"
+    inputStringAttrName: "data_format"
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+    inputFloatName: "targetValue"
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+    inputToOutput {
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+    ruleType: "attribute"
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+    functionName: "conditionalfieldvalueintindex"
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+    inputFloatName: "targetValue"
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+    inputFloatName: "attributeNameOfListAttribute"
+    inputToOutput {
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+      value: "data_format"
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+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+    transformerArgs {
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+    transformerArgs {
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+    transformerArgs {
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+    inputFloatName: "attributeNameOfListAttribute"
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+      transformerArgs {
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+      transformerArgs {
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+    transformerArgs {
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+      transformerArgs {
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+      }
+      transformerArgs {
+        name: "attributeNameOfListAttribute"
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+        stringValue: "dilations"
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+      }
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+        name: "attributeNameOfListAttribute"
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+        stringValue: "dilations"
+      }
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+        stringValue: "dilations"
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+  rule {
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+    functionName: "ndarraysizeat"
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+    inputToOutput {
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+      value: "filter"
+    }
+    ruleType: "attribute"
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+      transformerArgs {
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+      }
+    }
+    inputFrameworkOpName: "DepthwiseConv2dNative"
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+  rule {
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+    functionName: "ndarraysizeat"
+    outputIntName: "kW"
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+      value: "filter"
+    }
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argIndex: 1
+      }
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+    inputFrameworkOpName: "DepthwiseConv2dNative"
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
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+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+      transformerArgs {
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+        argType: INT64
+        argIndex: 5
+      }
+      transformerArgs {
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+      }
+    }
+    transformerArgs {
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+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 4
+      }
+      transformerArgs {
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+        argIndex: 5
+      }
+      transformerArgs {
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+        argType: INT64
+        argIndex: 10
+      }
+    }
+    transformerArgs {
+      key: "value"
+      transformerArgs {
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+        argType: INT64
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+      }
+      transformerArgs {
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+        argIndex: 5
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+      transformerArgs {
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+      }
+    }
+    inputFrameworkOpName: "DepthwiseConv2dNative"
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+}
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+  opName: "log_matrix_determinant"
+  inputFrameworkOpName: "LogMatrixDeterminant"
+  rule {
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+    functionName: "ndarraymapping"
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+      value: "input"
+    }
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+    inputFrameworkOpName: "LogMatrixDeterminant"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
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+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "LogMatrixDeterminant"
+  }
+}
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+  opName: "realdiv"
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+      value: "y"
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+  }
+  rule {
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+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "RealDiv"
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+  rule {
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+    functionName: "valuemapping"
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+      value: "T"
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+}
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+  opName: "abs"
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+      value: "x"
+    }
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+  }
+  rule {
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+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
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+      value: "T"
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+  rule {
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+    inputBooleanName: "inPlace"
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+      transformerArgs {
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+        argType: BOOL
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+    }
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+}
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+  opName: "identity"
+  inputFrameworkOpName: "VariableV2"
+  rule {
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+  rule {
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+    inputBooleanName: "inPlace"
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+    transformerArgs {
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+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "VariableV2"
+  }
+  rule {
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+    functionName: "valuemapping"
+    inputDataTypeName: "dtype"
+    outputDataTypeName: "dataType"
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+      value: "dtype"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "VariableV2"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "matrix_determinant"
+  inputFrameworkOpName: "BatchMatrixDeterminant"
+  rule {
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+    functionName: "ndarraymapping"
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+    inputToOutput {
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+      value: "input"
+    }
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+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "MatrixDeterminant"
+  }
+}
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+  opName: "maxpool3dnew"
+  inputFrameworkOpName: "MaxPool3D"
+  rule {
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+    functionName: "ndarraymapping"
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+      value: "input"
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+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "extraParam0"
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: INT64
+        argIndex: 13
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pD"
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+    transformerArgs {
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+      transformerArgs {
+        name: "pD"
+        argType: INT64
+        argIndex: 6
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pH"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "pH"
+        argType: INT64
+        argIndex: 7
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "pW"
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+    transformerArgs {
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+      transformerArgs {
+        name: "pW"
+        argType: INT64
+        argIndex: 8
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "dD"
+    ruleType: "attribute"
+    transformerArgs {
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+        argType: INT64
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+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "dH"
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+    transformerArgs {
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+        int64Value: 1
+        argType: INT64
+        argIndex: 10
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputIntName: "dW"
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+    transformerArgs {
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+        int64Value: 1
+        argType: INT64
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+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
+  }
+  rule {
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+    functionName: "stringequals"
+    inputStringAttrName: "data_format"
+    inputStringAttrName: "data_format"
+    outputIntName: "isNCDHW"
+    inputToOutput {
+      key: "isNCDHW"
+      value: "data_format"
+    }
+    ruleType: "attribute"
+    transformerArgs {
+      key: "isNCDHW"
+      transformerArgs {
+        name: "data_format"
+        argType: STRING
+        argIndex: 14
+        stringValue: "NDHWC"
+      }
+    }
+    inputFrameworkOpName: "MaxPool3D"
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+  rule {
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+    functionName: "stringequals"
+    inputStringAttrName: "padding"
+    inputStringAttrName: "padding"
+    outputIntName: "isSameMode"
+    inputToOutput {
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+      value: "padding"
+    }
+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: STRING
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+      value: "ksize"
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+    functionName: "listattributevaluelookuptoindex"
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+    functionName: "listattributevaluelookuptoindex"
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+    functionName: "listattributevaluelookuptoindex"
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+      value: "strides"
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+    functionName: "conditionalfieldvalueintindexndarray"
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+    inputFloatName: "falseIndex"
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+    ruleType: "attribute"
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+      transformerArgs {
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+    transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+      transformerArgs {
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+        stringValue: "ksize"
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+    transformerArgs {
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+      transformerArgs {
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+        argIndex: 1
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+      transformerArgs {
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+        stringValue: "ksize"
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+    }
+    transformerArgs {
+      key: "kW"
+      transformerArgs {
+        name: "targetValue"
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+      }
+      transformerArgs {
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+        argIndex: 1
+      }
+      transformerArgs {
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+    functionName: "valuemapping"
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+      value: "seed"
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+  rule {
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+    functionName: "ndarraytointattributevalue"
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+  rule {
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+      transformerArgs {
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+        argType: BOOL
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+    }
+    inputFrameworkOpName: "BatchToSpaceND"
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+}
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+  opName: "reduce_mean"
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+    ruleType: "attribute"
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+    functionName: "ndarraytointattributevalue"
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+}
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+  rule {
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+    inputBooleanName: "inPlace"
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+}
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+  inputFrameworkOpName: "Variable"
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+    inputBooleanName: "inPlace"
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+        argType: BOOL
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+    }
+    inputFrameworkOpName: "Variable"
+  }
+  rule {
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+    functionName: "valuemapping"
+    inputDataTypeName: "dtype"
+    outputDataTypeName: "dataType"
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+      value: "dtype"
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+    ruleType: "attribute"
+    inputFrameworkOpName: "Variable"
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+}
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+  opName: "log_softmax"
+  inputFrameworkOpName: "LogSoftmax"
+  rule {
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+    functionName: "ndarraymapping"
+    inputTensorName: "logits"
+    outputTensorName: "input"
+    inputToOutput {
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+      value: "logits"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "LogSoftmax"
+  }
+}
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+  frameworkName: "tensorflow"
+  opName: "cross"
+  inputFrameworkOpName: "Cross"
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+    inputToOutput {
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+      value: "b"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Cross"
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+}
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+  opName: "matrix_set_diag"
+  inputFrameworkOpName: "BatchMatrixSetDiag"
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+    functionName: "ndarraymapping"
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+  rule {
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+    inputBooleanName: "inPlace"
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+    transformerArgs {
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+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "BatchMatrixSetDiag"
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+}
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+  opName: "non_max_suppression_overlaps"
+  inputFrameworkOpName: "NonMaxSuppressionWithOverlaps"
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+    functionName: "ndarraymapping"
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+    inputTensorName: "overlaps"
+    outputTensorName: "scales"
+    outputTensorName: "boxes"
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+      value: "scores"
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+    inputToOutput {
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+      value: "overlaps"
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+    ruleType: "tensor"
+    inputFrameworkOpName: "NonMaxSuppressionWithOverlaps"
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+  rule {
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+    functionName: "ndarrayinputtonumericalattribute"
+    outputIntName: "maxOutputSize"
+    outputDoubleName: "overlapThreshold"
+    outputDoubleName: "scoreThreshold"
+    inputToOutput {
+      key: "maxOutputSize"
+      value: "max_output_size"
+    }
+    inputToOutput {
+      key: "overlapThreshold"
+      value: "overlap_threshold"
+    }
+    inputToOutput {
+      key: "scoreThreshold"
+      value: "score_threshold"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "NonMaxSuppressionWithOverlaps"
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+}
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+  opName: "concat"
+  inputFrameworkOpName: "ConcatV2"
+  rule {
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+    functionName: "passthrough"
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+  rule {
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+    functionName: "ndarrayinputtonumericalattribute"
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+      value: "axis"
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+    ruleType: "attribute"
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+  rule {
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+    functionName: "argdescriptorconstant"
+    inputBooleanName: "isDynamicAxis"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "isDynamicAxis"
+        boolValue: true
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "ConcatV2"
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+}
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+    ruleType: "attribute"
+    transformerArgs {
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+      transformerArgs {
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+        argType: BOOL
+      }
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+    inputFrameworkOpName: "TruncateDiv"
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+  rule {
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+    functionName: "valuemapping"
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+      value: "T"
+    }
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+}
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+    inputBooleanName: "keep_dims"
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+      value: "keep_dims"
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+    ruleType: "attribute"
+    inputFrameworkOpName: "Any"
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+  rule {
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+    functionName: "ndarraytointattributevalue"
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+      value: "reduction_indices"
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+    inputFrameworkOpName: "Any"
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+}
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+}
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+}
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+}
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+    inputFrameworkOpName: "Igammac"
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+}
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+    functionName: "ndarraymapping"
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+    outputTensorName: "input"
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+      value: "images"
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+    functionName: "listattributevaluelookuptoindex"
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+    outputIntName: "ksizeRows"
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+      value: "ksizes"
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+    ruleType: "attribute"
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+      transformerArgs {
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+        int64Value: 1
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+    functionName: "listattributevaluelookuptoindex"
+    inputIntName: "index"
+    outputIntName: "ksizeCols"
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+      value: "ksizes"
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+  inputFrameworkOpName: "Sign"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "x"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Sign"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
+    inputToOutput {
+      key: "dataType"
+      value: "T"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "Sign"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Sign"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "greater"
+  inputFrameworkOpName: "Greater"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "x"
+    inputTensorName: "y"
+    outputTensorName: "input"
+    outputTensorName: "y"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    inputToOutput {
+      key: "y"
+      value: "y"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Greater"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Greater"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
+    inputToOutput {
+      key: "dataType"
+      value: "T"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "Greater"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "exp"
+  inputFrameworkOpName: "Exp"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "x"
+    outputTensorName: "input"
+    inputToOutput {
+      key: "input"
+      value: "x"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "Exp"
+  }
+  rule {
+    ruleName: "valuemapping"
+    functionName: "valuemapping"
+    inputDataTypeName: "T"
+    outputDataTypeName: "dataType"
+    inputToOutput {
+      key: "dataType"
+      value: "T"
+    }
+    ruleType: "attribute"
+    inputFrameworkOpName: "Exp"
+  }
+  rule {
+    ruleName: "argdescriptorconstant"
+    functionName: "argdescriptorconstant"
+    inputBooleanName: "inPlace"
+    ruleType: "attribute"
+    transformerArgs {
+      key: "value"
+      transformerArgs {
+        name: "inPlace"
+        argType: BOOL
+      }
+    }
+    inputFrameworkOpName: "Exp"
+  }
+}
+mappings {
+  frameworkName: "tensorflow"
+  opName: "adjust_contrast_v2"
+  inputFrameworkOpName: "AdjustContrastv2"
+  rule {
+    ruleName: "ndarraymapping"
+    functionName: "ndarraymapping"
+    inputTensorName: "images"
+    inputTensorName: "contrast_factor"
+    outputTensorName: "input"
+    outputTensorName: "factor"
+    inputToOutput {
+      key: "input"
+      value: "images"
+    }
+    inputToOutput {
+      key: "factor"
+      value: "contrast_factor"
+    }
+    ruleType: "tensor"
+    inputFrameworkOpName: "AdjustContrastv2"
+  }
+}
diff --git a/nd4j/samediff-import/samediff-import-tensorflow/test.pbtxt b/nd4j/samediff-import/samediff-import-tensorflow/test.pbtxt
new file mode 100644
index 000000000..a4b2254da
--- /dev/null
+++ b/nd4j/samediff-import/samediff-import-tensorflow/test.pbtxt
@@ -0,0 +1,118 @@
+node {
+  name: "in_0"
+  op: "Const"
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_DOUBLE
+        tensor_shape {
+          dim {
+            size: 4
+          }
+          dim {
+            size: 5
+          }
+          dim {
+            size: 4
+          }
+        }
+        tensor_content: "0m4\347\376y\315?\344\033;\004\236p\351?\026..t\357%\352? \306G>\322\023\247?\230\303\330E)\235\327?,5\313k\v\350\345?\334m\034\311\255s\321?0\024\236\222\260\272\321?@\321\340\331\240{\316?v|\234\234\223o\356?\244&\\\214\314W\332?\270\376rL\357\224\331?\030\216\353R\253\023\332?*A<\365%\024\344?h\f\326CH\250\351?0\320Y{\256\\\261?\366\226\304\200\016\350\343?@cr\031B\026\323?\300Q\006<\213\200\303?\f\377 \310\035\271\320?\300\325\277\177]\302\347?\270\337\237\302\321P\343?\256L\224~H]\351?0\243.\031\266\256\342?\200B\250\257\316j\301?\304\372\266\312\352\225\332?D\320\255\371\vB\327?\364\025&\270p\360\327?H:\241v\n\272\312?0-} \201!\323?l2\v\247;|\331?\320r}\'\v\372\341?\006u\364aS@\347?P6<\211\270\337\273?\024\340\006`\267\262\322?t\222JV\310\'\325?\264/\177\232\"]\322?\242\037L\006\215=\345?\270\376\302\274\332\310\323?R\2100\375\212\314\355?\300;\026W\321\210\230?\260?t#\314\203\322?\366=D:{\005\342?p_\v\2335\315\356?\344U\370\034\372\317\332? l1N\344\252\330?\354\327\003\223\206\215\321?^C\326M\353\234\345?\326\333u\025\2449\354?\264\000\334Z\177\326\353?\244\341\253\326!\272\345?\320\336\312`\255\005\311?\244u\220o\266\033\324?V\b\201\267\276\271\351?$\253\324_o3\356?\264:\260\357i\003\335?\300[\'7L8\256?02UU\205\214\265?\240\255\276\263r+\257? \303\207\022\3446\334?\220\032\360l\364(\324?\030\374\036.\217W\355?\340!;ay\034\257?\312\255)\371\227\333\346?F\233`e\300\335\343?\264>\261\354\324\345\331?\212v\025\026\265o\342?|\036\036F\364}\330?\034\203\363\362\364\204\322?\000:\260e\"\372\230?F\316\345\330\2577\343?\356uN6 val arr = (1 to 9).asNDArray(3,3) 
-arr: org.nd4j.linalg.api.ndarray.INDArray =
-[[1.00,2.00,3.00]
- [4.00,5.00,6.00]
- [7.00,8.00,9.00]]
-
-scala> val sub = arr(0->2,1->3)
-sub: org.nd4j.linalg.api.ndarray.INDArray =
-[[2.00,3.00]
- [5.00,6.00]]
-```
-
-# CheatSheet(WIP)
-
-| ND4S syntax                                | Equivalent NumPy syntax                     | Result                                                         |
-|--------------------------------------------|---------------------------------------------|----------------------------------------------------------------|
-| Array(Array(1,2,3),Array(4,5,6)).toNDArray | np.array([[1, 2 , 3], [4, 5, 6]])           | [[1.0, 2.0, 3.0]  [4.0, 5.0, 6.0]]                             |
-| val arr = (1 to 9).asNDArray(3,3)          | arr = np.arange(1,10).reshape(3,3) | [[1.0, 2.0, 3.0]  [4.0, 5.0, 6.0] ,[7.0, 8.0, 9.0]]            |
-| arr(0,0)                                   | arr[0,0]                                    | 1.0                                                            |
-| arr(0,->)                                  | arr[0,:]                                    | [1.0, 2.0, 3.0]                                                |
-| arr(--->)                                  | arr[...]                                    | [[1.0, 2.0, 3.0]   [4.0, 5.0, 6.0] ,[7.0, 8.0, 9.0]]           |
-| arr(0 -> 3 by 2, ->)                       | arr[0:3:2,:]                                | [[1.0, 2.0, 3.0]  [7.0, 8.0, 9.0]]                             |
-| arr(0 to 2 by 2, ->)                       | arr[0:3:2,:]                                | [[1.0, 2.0, 3.0] [7.0, 8.0, 9.0]]                              |
-| arr.filter(_ > 3)                          |  np.where(arr > 3, arr, 0)                  | [[0.0, 0.0, 0.0]  [4.0, 5.0, 6.0] ,[7.0, 8.0, 9.0]]            |
-| arr.map(_ % 3)                             |                                             | [[1.0, 2.0, 0.0] [1.0, 2.0, 0.0] ,[1.0, 2.0, 0.0]]             |
-| arr.filterBit(_ < 4)                       |                                             | [[1.0, 1.0, 1.0] [0.0, 0.0, 0.0] ,[0.0, 0.0, 0.0]]             |
-| arr + arr                                  | arr + arr                                   | [[2.0, 4.0, 6.0] [8.0, 10.0, 12.0] ,[14.0, 16.0, 18.0]]        |
-| arr * arr                                  | arr * arr                                   | [[1.0, 4.0, 9.0] [16.0, 25.0, 36.0] ,[49.0, 64.0, 81.0]]       |
-| arr dot arr                                | np.dot(arr, arr)                            | [[30.0, 36.0, 42.0] [66.0, 81.0, 96.0] ,[102.0, 126.0, 150.0]] |
-| arr.sumT                                   | np.sum(arr)                                 | 45.0  //returns Double value                                   |
-| val comp = Array(1 + i, 1 + 2 * i).toNDArray | comp = np.array([1 + 1j, 1 + 2j])           | [1.0 + 1.0i ,1.0 + 2.0i]                                       |
-| comp.sumT                                  | np.sum(comp)                                | 2.0 + 3.0i //returns IComplexNumber value                      |
-| for(row <- arr.rowP if row.get(0) > 1) yield row*2 |   | [[8.00,10.00,12.00] [14.00,16.00,18.00]] |
-| val tensor = (1 to 8).asNDArray(2,2,2) | tensor = np.arange(1,9).reshape(2,2,2) | [[[1.00,2.00] [3.00,4.00]] [[5.00,6.00] [7.00,8.00]]] |
-| for(slice <- tensor.sliceP if slice.get(0) > 1) yield slice*2 |                           |[[[10.00,12.00][14.00,16.00]]] |
-|arr(0 -> 3 by 2, ->) = 0                  |                                                | [[0.00,0.00,0.00] [4.00,5.00,6.00] [0.00,0.00,0.00]] |
diff --git a/nd4s/build.sbt b/nd4s/build.sbt
deleted file mode 100644
index d523b754e..000000000
--- a/nd4s/build.sbt
+++ /dev/null
@@ -1,100 +0,0 @@
-lazy val currentVersion = SettingKey[String]("currentVersion")
-lazy val nd4jVersion = SettingKey[String]("nd4jVersion")
-lazy val publishSomeThing = sys.props.getOrElse("repoType", default = "local").toLowerCase match {
-  case repoType if repoType.contains("nexus") => publishNexus
-  case repoType if repoType.contains("bintray") => publishBintray
-  case repoType if repoType.contains("sonatype") => publishSonatype
-  case _ => publishLocalLocal
-}
-
-val nexusStagingRepoId = sys.props.getOrElse("stageRepoId", default = "deploy/maven2")
-lazy val releaseRepositoryId = sys.props.getOrElse("stageRepoId", default = "deploy/maven2") match {
-  case stageRepoId if stageRepoId.equals("") => "deploy/maven2"
-  case stageRepoId if stageRepoId.equals("deploy/maven2") => "deploy/maven2"
-  case _ => "deployByRepositoryId/" + nexusStagingRepoId
-}
-
-resolvers in ThisBuild ++= Seq(
-  Resolver.sonatypeRepo("snapshots")
-)
-
-cleanFiles += baseDirectory.value / "lib"
-val mvnInstall = Seq("mvn", "install", "-q", "-f", "sbt-pom.xml")
-val operatingSystem = sys.props("os.name").toLowerCase.substring(0, 3)
-update := {
-  operatingSystem match {
-    case "win" => { Seq("cmd", "/C") ++ mvnInstall !; update.value }
-    case _     => { mvnInstall !; update.value }
-  }
-}
-
-lazy val commonSettings = Seq(
-  scalaVersion := "2.11.8",
-  crossScalaVersions := Seq("2.10.6", "2.11.8"),
-  name := "nd4s",
-  version := sys.props.getOrElse("currentVersion", default = "1.0.0-SNAPSHOT"),
-  organization := "org.nd4j",
-  resolvers += Resolver.mavenLocal,
-  resolvers in ThisBuild ++= Seq(Opts.resolver.sonatypeSnapshots),
-  nd4jVersion := sys.props.getOrElse("nd4jVersion", default = "1.0.0-SNAPSHOT"),
-  libraryDependencies ++= Seq(
-//    "com.nativelibs4java" %% "scalaxy-loops" % "0.3.4",
-//    "org.nd4j" % "nd4j-api" % nd4jVersion.value,
-//    "org.nd4j" % "nd4j-native-platform" % nd4jVersion.value % Test,
-    "org.scalatest" %% "scalatest" % "2.2.6" % Test,
-    "ch.qos.logback" % "logback-classic" % "1.2.1" % Test,
-    "org.scalacheck" %% "scalacheck" % "1.12.5" % Test,
-    "org.scalanlp" %% "breeze" % "0.12" % Test,
-    "com.github.julien-truffaut" %% "monocle-core" % "1.2.0" % Test
-  ),
-  scalacOptions ++= Seq("-unchecked", "-deprecation", "-feature", "-language:implicitConversions", "-language:higherKinds", "-language:postfixOps"),
-  publishMavenStyle := true,
-  publishArtifact in Test := false,
-  pomIncludeRepository := { _ => false },
-  useGpg := true,
-  pgpPassphrase := Some(Array()),
-  credentials += Credentials(Path.userHome / ".ivy2" / ".credentials"),
-  releasePublishArtifactsAction := com.typesafe.sbt.pgp.PgpKeys.publishSigned.value,
-  releaseCrossBuild := true,
-  initialCommands in console := "import org.nd4j.linalg.factory.Nd4j; import org.nd4s.Implicits._"
-)
-
-lazy val publishNexus = Seq(
-  publishTo := {
-    val nexus = "https://packages.konduit.ai/"
-    if (isSnapshot.value)
-      Some("snapshots" at nexus + "content/repositories/maven-snapshots")
-    else
-      Some("releases" at nexus + "service/local/staging/" + releaseRepositoryId)
-  }
-)
-
-lazy val publishBintray = Seq(
-  publishTo := {
-    val jfrog = "https://oss.jfrog.org/artifactory/"
-    if (isSnapshot.value)
-      Some("snapshots" at jfrog + "oss-snapshot-local")
-    else
-      Some("releases" at jfrog + "oss-release-local")
-  }
-)
-
-lazy val publishSonatype = Seq(
-  publishTo := {
-    val nexus = "https://oss.sonatype.org/"
-    if (isSnapshot.value)
-      Some("snapshots" at nexus + "content/repositories/snapshots")
-    else
-      Some("releases" at nexus + "service/local/staging/" + releaseRepositoryId)
-  }
-)
-
-lazy val publishLocalLocal = Seq(
-  publish := {},
-  publishLocal := {}
-)
-
-lazy val root = (project in file(".")).settings(
-  commonSettings,
-  publishSomeThing
-)
diff --git a/nd4s/pom.xml b/nd4s/pom.xml
deleted file mode 100644
index 878cdd02a..000000000
--- a/nd4s/pom.xml
+++ /dev/null
@@ -1,332 +0,0 @@
-
-
-
-
-
-
-    
-        org.deeplearning4j
-        deeplearning4j
-        1.0.0-SNAPSHOT
-    
-
-    4.0.0
-
-    org.nd4j
-    nd4s_${scala.binary.version}
-    jar
-
-    nd4s
-
-    http://nd4j.org/
-
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        
-            agibsonccc
-            Adam Gibson
-            adam@skymind.io
-        
-        
-            taisukeoe
-            Taisuke Oe
-            oeuia.t@gmail.com
-        
-        
-            maxpumperla
-            Max Pumperla
-        
-    
-
-    
-        
-        2.11.12
-        2.11
-    
-
-    
-        
-            org.nd4j
-            nd4j-api
-            ${nd4j.version}
-        
-        
-            ch.qos.logback
-            logback-classic
-            ${logback.version}
-            test
-        
-        
-   	    junit	
-	    junit
-            ${junit.version}
-            test
-	
-        
-            org.scalatest
-            scalatest_${scala.binary.version}
-            ${scalatest.version}
-            test
-        
-        
-            org.scalacheck
-            scalacheck_${scala.binary.version}
-            ${scalacheck.version}
-            test
-        
-        
-            org.scalanlp
-            breeze_${scala.binary.version}
-            ${breeze.version}
-            test
-        
-        
-            com.github.julien-truffaut
-            monocle-core_${scala.binary.version}
-            1.4.0
-            test
-        
-    
-
-    
-        src/main/scala
-        src/test/scala
-        
-            
-                maven-source-plugin
-                ${maven-source-plugin.version}
-                
-                    
-                        attach-sources
-                        
-                            jar
-                        
-                    
-                
-            
-            
-                maven-javadoc-plugin
-                ${maven-javadoc-plugin.version}
-                
-                    -Xdoclint:none
-                
-                
-                    
-                        attach-javadocs
-                        
-                            jar
-                        
-                    
-                
-            
-            
-                maven-deploy-plugin
-                ${maven-deploy-plugin.version}
-                
-                    true
-                
-            
-            
-                org.sonatype.plugins
-                nexus-staging-maven-plugin
-                1.6.6
-                
-                    
-                        default-deploy
-                        deploy
-                        
-                            deploy
-                        
-                    
-                
-                true
-                
-                    nexus-releases
-                    https://oss.sonatype.org/
-                    true
-                
-            
-            
-                net.alchim31.maven
-                scala-maven-plugin
-                ${maven-scala-plugin.version}
-                
-                    
-                        
-                            compile
-                            testCompile
-                            doc-jar
-                        
-                    
-                
-                
-                    ${scala.version}
-                    
-                        -deprecation
-                        -explaintypes
-                        -nobootcp
-			            -usejavacp
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-eclipse-plugin
-                2.10
-                
-                    true
-                    
-                        ch.epfl.lamp.sdt.core.scalabuilder
-                    
-                    
-                        ch.epfl.lamp.sdt.core.scalanature
-                    
-                    
-                        org.eclipse.jdt.launching.JRE_CONTAINER
-                        
-                        ch.epfl.lamp.sdt.launching.SCALA_CONTAINER
-                        
-                    
-                
-            
-            
-                org.antipathy
-                mvn-scalafmt
-                0.7_${scalafmt.version}
-                
-                    ${project.basedir}/.scalafmt.conf
-                
-                
-                    
-                        validate
-                        
-                            format
-                        
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-surefire-plugin
-                ${maven-surefire-plugin.version}
-                
-                    true
-                
-            
-            
-                org.scalatest
-                scalatest-maven-plugin
-                1.0
-                
-                    ${project.build.directory}/surefire-reports
-                    .
-                    WDF TestSuite.txt
-                    ${maven.test.skip}
-                
-                
-                    
-                        test
-                        
-                            test
-                        
-                    
-                
-            
-            
-                pl.project13.maven
-                git-commit-id-plugin
-                ${maven-git-commit-plugin.version}
-                
-                    
-                        
-                            revision
-                        
-                        package
-                    
-                
-                
-                    true
-                    ${project.build.outputDirectory}/git.properties
-                    
-                    
-                        true
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-jar-plugin
-                
-                    
-                        make-a-jar
-                        compile
-                        
-                            jar
-                        
-                    
-                
-            
-        
-    
-
-    
-        
-            test-nd4j-native
-            
-                
-                    org.nd4j
-                    nd4j-native
-                    ${project.version}
-                    test
-                
-                
-                    org.deeplearning4j
-                    dl4j-test-resources
-                    ${dl4j-test-resources.version}
-                    test
-                
-            
-        
-
-        
-            test-nd4j-cuda-11.0
-            
-                
-                    org.nd4j
-                    nd4j-cuda-11.0
-                    ${project.version}
-                    test
-                
-                
-                    org.deeplearning4j
-                    dl4j-test-resources
-                    ${dl4j-test-resources.version}
-                    test
-                
-            
-        
-    
-
diff --git a/nd4s/project/build.properties b/nd4s/project/build.properties
deleted file mode 100644
index 2efb663e1..000000000
--- a/nd4s/project/build.properties
+++ /dev/null
@@ -1,17 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-sbt.version=0.13.11
diff --git a/nd4s/project/plugins.sbt b/nd4s/project/plugins.sbt
deleted file mode 100644
index a76313593..000000000
--- a/nd4s/project/plugins.sbt
+++ /dev/null
@@ -1,2 +0,0 @@
-addSbtPlugin("com.github.gseitz" % "sbt-release" % "1.0.5")
-addSbtPlugin("com.typesafe.sbt" % "sbt-pgp" % "0.8.3")
diff --git a/nd4s/sbt-pom.xml b/nd4s/sbt-pom.xml
deleted file mode 100644
index 3038ab9e3..000000000
--- a/nd4s/sbt-pom.xml
+++ /dev/null
@@ -1,83 +0,0 @@
-
-
-
-    4.0.0
-    org.deeplearning4j
-    nd4j-native-dependencies
-    1.0.0-SNAPSHOT
-
-    Minimal POM to install nd4j-native dependencies
-
-    
-        1.0.0-SNAPSHOT
-    
-
-    
-        
-            sonatype-nexus-snapshots
-            Sonatype Nexus Snapshots
-            https://oss.sonatype.org/content/repositories/snapshots
-            
-                false
-            
-            
-                true
-            
-        
-    
-
-    
-        
-            org.nd4j
-            nd4j-native
-            ${nd4j.version}
-        
-    
-
-    
-        
-            
-                maven-dependency-plugin
-                3.0.2
-                
-                    
-                        install
-                        
-                            copy-dependencies
-                        
-                        
-                            ${project.basedir}/lib
-                            compile
-                            false
-                            false
-                            true
-                        
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-surefire-plugin
-                2.7
-                
-                    true
-                
-            
-        
-    
-
diff --git a/nd4s/src/main/scala/org/nd4s/CollectionLikeNDArray.scala b/nd4s/src/main/scala/org/nd4s/CollectionLikeNDArray.scala
deleted file mode 100644
index bdbe43bc3..000000000
--- a/nd4s/src/main/scala/org/nd4s/CollectionLikeNDArray.scala
+++ /dev/null
@@ -1,115 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4s.Implicits._
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.api.ops.Op
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4s.ops.{ BitFilterOps, FilterOps, FunctionalOpExecutioner, MapOps }
-
-import scala.language.postfixOps
-import scala.util.control.Breaks._
-
-/*
-  This provides Scala Collection like APIs such as map, filter, exist, forall.
- */
-trait CollectionLikeNDArray[A <: INDArray] {
-  val underlying: A
-
-  def filter(f: Double => Boolean)(implicit ev: NDArrayEvidence[A, _]): A = notCleanedUp { _ =>
-    val shape = underlying.shape()
-    ev.reshape(FunctionalOpExecutioner.apply
-                 .exec(FilterOps(ev.linearView(underlying), f): Op)
-                 .asInstanceOf[A],
-               shape.map(_.toInt): _*)
-  }
-
-  def filterBit(f: Double => Boolean)(implicit ev: NDArrayEvidence[A, _]): A = notCleanedUp { _ =>
-    val shape = underlying.shape()
-    ev.reshape(FunctionalOpExecutioner.apply
-                 .exec(BitFilterOps(ev.linearView(underlying), f): Op)
-                 .asInstanceOf[A],
-               shape.map(_.toInt): _*)
-  }
-
-  def map(f: Double => Double)(implicit ev: NDArrayEvidence[A, _]): A = notCleanedUp { _ =>
-    val shape = underlying.shape()
-    ev.reshape(FunctionalOpExecutioner.apply
-                 .exec(MapOps(ev.linearView(underlying), f): Op)
-                 .asInstanceOf[A],
-               shape.map(_.toInt): _*)
-  }
-
-  def notCleanedUp[B](f: INDArray => B): B =
-    f(underlying)
-
-  def exists(f: Double => Boolean)(implicit ev: NDArrayEvidence[A, Double]): Boolean = existsTyped[Double](f)
-
-  def existsTyped[B](f: B => Boolean)(implicit ev: NDArrayEvidence[A, B]): Boolean = {
-    var result = false
-    val lv = ev.linearView(underlying)
-    breakable {
-      for {
-        i <- 0 until lv.length().toInt
-      } if (!f(ev.get(lv, i))) {
-        result = true
-        break()
-      }
-    }
-    result
-  }
-
-  def forall(f: Double => Boolean)(implicit ev: NDArrayEvidence[A, Double]): Boolean = forallTyped[Double](f)
-
-  def forallTyped[B](f: B => Boolean)(implicit ev: NDArrayEvidence[A, B]): Boolean = {
-    var result = true
-    val lv = ev.linearView(underlying)
-    breakable {
-      for {
-        i <- 0 until lv.length().toInt
-      } if (!f(ev.get(lv, i))) {
-        result = false
-        break()
-      }
-    }
-    result
-  }
-
-  def >[B, C](d: C)(implicit ev: NDArrayEvidence[A, B], ev2: C => B): Boolean =
-    forallTyped { i: B =>
-      ev.greaterThan(i, d)
-    }
-
-  def <[B, C](d: C)(implicit ev: NDArrayEvidence[A, B], ev2: C => B): Boolean =
-    forallTyped { i: B =>
-      ev.lessThan(i, d)
-    }
-
-  def >=[B, C](d: C)(implicit ev: NDArrayEvidence[A, B], ev2: Equality[B], ev3: C => B): Boolean = forallTyped { i: B =>
-    ev.greaterThan(i, d) || ev2.equal(i, d)
-  }
-
-  def <=[B, C](d: C)(implicit ev: NDArrayEvidence[A, B], ev2: Equality[B], ev3: C => B): Boolean = forallTyped { i: B =>
-    ev.lessThan(i, d) || ev2.equal(i, d)
-  }
-
-  def columnP: ColumnProjectedNDArray = new ColumnProjectedNDArray(underlying)
-
-  def rowP: RowProjectedNDArray = new RowProjectedNDArray(underlying)
-
-  def sliceP: SliceProjectedNDArray = new SliceProjectedNDArray(underlying)
-}
diff --git a/nd4s/src/main/scala/org/nd4s/ColumnProjectedNDArray.scala b/nd4s/src/main/scala/org/nd4s/ColumnProjectedNDArray.scala
deleted file mode 100644
index 22e45b965..000000000
--- a/nd4s/src/main/scala/org/nd4s/ColumnProjectedNDArray.scala
+++ /dev/null
@@ -1,52 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.indexing.{ NDArrayIndex, SpecifiedIndex }
-
-class ColumnProjectedNDArray(val array: INDArray, val filtered: Array[Int]) {
-  def this(ndarray: INDArray) {
-    this(ndarray, (0 until ndarray.columns()).toArray)
-  }
-
-  def mapi(f: INDArray => INDArray): INDArray = {
-    for {
-      i <- filtered
-    } array.putColumn(i, f(array.getColumn(i)))
-    array.get(NDArrayIndex.all(), new SpecifiedIndex(filtered: _*))
-  }
-
-  def map(f: INDArray => INDArray): INDArray =
-    new ColumnProjectedNDArray(array.dup(), filtered).flatMapi(f)
-
-  def flatMap(f: INDArray => INDArray): INDArray = map(f)
-
-  def flatMapi(f: INDArray => INDArray): INDArray = mapi(f)
-
-  def foreach(f: INDArray => Unit): Unit =
-    for {
-      i <- filtered
-    } f(array.getColumn(i))
-
-  def withFilter(f: INDArray => Boolean): ColumnProjectedNDArray = {
-    val targets = for {
-      i <- filtered
-      if f(array.getColumn(i))
-    } yield i
-    new ColumnProjectedNDArray(array, targets)
-  }
-}
diff --git a/nd4s/src/main/scala/org/nd4s/Equality.scala b/nd4s/src/main/scala/org/nd4s/Equality.scala
deleted file mode 100644
index 84d3c84b0..000000000
--- a/nd4s/src/main/scala/org/nd4s/Equality.scala
+++ /dev/null
@@ -1,35 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-/**
-  * Created by taisukeoe on 16/02/12.
-  */
-trait Equality[A] {
-  def equal(left: A, right: A): Boolean
-}
-object Equality {
-  implicit lazy val doubleEquality = new Equality[Double] {
-    lazy val tolerance = 0.01D
-    override def equal(left: Double, right: Double): Boolean =
-      math.abs(left - right) < tolerance
-  }
-  implicit lazy val floatEquality = new Equality[Float] {
-    lazy val tolerance = 0.01F
-    override def equal(left: Float, right: Float): Boolean =
-      math.abs(left - right) < tolerance
-  }
-}
diff --git a/nd4s/src/main/scala/org/nd4s/Implicits.scala b/nd4s/src/main/scala/org/nd4s/Implicits.scala
deleted file mode 100644
index e9c99f8c8..000000000
--- a/nd4s/src/main/scala/org/nd4s/Implicits.scala
+++ /dev/null
@@ -1,436 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-    ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.common.primitives.{ Pair, Triple }
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4j.linalg.indexing.{ INDArrayIndex, NDArrayIndex }
-
-import scala.collection.breakOut
-object Implicits {
-
-  implicit class RichINDArray[A <: INDArray](val underlying: A)
-      extends SliceableNDArray[A]
-      with OperatableNDArray[A]
-      with CollectionLikeNDArray[A]
-
-  implicit def rowProjection2NDArray(row: RowProjectedNDArray): INDArray =
-    row.array
-
-  implicit def columnProjection2NDArray(column: ColumnProjectedNDArray): INDArray = column.array
-
-  implicit def sliceProjection2NDArray(sliced: SliceProjectedNDArray): INDArray = sliced.array
-
-  /*
-     Avoid using Numeric[T].toDouble(t:T) for sequence transformation in XXColl2INDArray to minimize memory consumption.
-   */
-
-  implicit def floatArray2INDArray(s: Array[Float]): FloatArray2INDArray =
-    new FloatArray2INDArray(s)
-  implicit def floatColl2INDArray(s: Seq[Float]): FloatArray2INDArray =
-    new FloatArray2INDArray(s.toArray)
-  implicit def jfloatColl2INDArray(s: Seq[java.lang.Float]): FloatArray2INDArray =
-    new FloatArray2INDArray(s.map(x => x: Float)(breakOut))
-  class FloatArray2INDArray(val underlying: Array[Float]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order())): INDArray =
-      Nd4j.create(underlying, shape, ord.value)
-
-    def asNDArray(shape: Int*): INDArray =
-      Nd4j.create(underlying.toArray, shape.toArray)
-
-    def toNDArray: INDArray = Nd4j.create(underlying)
-  }
-
-  implicit def doubleArray2INDArray(s: Array[Double]): DoubleArray2INDArray =
-    new DoubleArray2INDArray(s)
-  implicit def doubleArray2CollArray(s: Seq[Double]): DoubleArray2INDArray =
-    new DoubleArray2INDArray(s.toArray)
-  implicit def jdoubleColl2INDArray(s: Seq[java.lang.Double]): DoubleArray2INDArray =
-    new DoubleArray2INDArray(s.map(x => x: Double)(breakOut))
-  class DoubleArray2INDArray(val underlying: Array[Double]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray =
-      Nd4j.create(underlying, shape, offset, ord.value)
-
-    def asNDArray(shape: Int*): INDArray =
-      Nd4j.create(underlying.toArray, shape.toArray)
-
-    def toNDArray: INDArray = Nd4j.create(underlying)
-  }
-
-  implicit def intColl2INDArray(s: Seq[Int]): IntArray2INDArray =
-    new IntArray2INDArray(s.toArray)
-  implicit def intArray2INDArray(s: Array[Int]): IntArray2INDArray =
-    new IntArray2INDArray(s)
-  implicit def jintColl2INDArray(s: Seq[java.lang.Integer]): IntArray2INDArray =
-    new IntArray2INDArray(s.map(x => x: Int)(breakOut))
-  class IntArray2INDArray(val underlying: Array[Int]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray = {
-      val strides = Nd4j.getStrides(shape, ord.value)
-      Nd4j.create(underlying.map(_.toInt), shape.map(_.toLong), strides.map(_.toLong), ord.value, DataType.INT)
-    }
-
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying: _*)
-  }
-
-  implicit def longColl2INDArray(s: Seq[Long]): LongArray2INDArray =
-    new LongArray2INDArray(s.toArray)
-  implicit def longArray2INDArray(s: Array[Long]): LongArray2INDArray =
-    new LongArray2INDArray(s)
-  implicit def jlongColl2INDArray(s: Seq[java.lang.Long]): LongArray2INDArray =
-    new LongArray2INDArray(s.map(x => x: Long)(breakOut))
-  class LongArray2INDArray(val underlying: Array[Long]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray = {
-      val strides = Nd4j.getStrides(shape, ord.value)
-      Nd4j.create(underlying, shape.map(_.toLong), strides.map(_.toLong), ord.value, DataType.LONG)
-    }
-
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying: _*)
-  }
-
-  implicit def shortColl2INDArray(s: Seq[Short]): ShortArray2INDArray =
-    new ShortArray2INDArray(s.toArray)
-  implicit def shortArray2INDArray(s: Array[Short]): ShortArray2INDArray =
-    new ShortArray2INDArray(s)
-  implicit def jshortColl2INDArray(s: Seq[java.lang.Short]): ShortArray2INDArray =
-    new ShortArray2INDArray(s.map(x => x: Short)(breakOut))
-  class ShortArray2INDArray(val underlying: Array[Short]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray = {
-      val strides = Nd4j.getStrides(shape, ord.value)
-      Nd4j.create(underlying, shape.map(_.toLong), strides.map(_.toLong), ord.value, DataType.SHORT)
-    }
-
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying: _*)
-  }
-
-  implicit def byteColl2INDArray(s: Seq[Byte]): ByteArray2INDArray =
-    new ByteArray2INDArray(s.toArray)
-  implicit def byteArray2INDArray(s: Array[Byte]): ByteArray2INDArray =
-    new ByteArray2INDArray(s)
-  implicit def jbyteColl2INDArray(s: Seq[java.lang.Byte]): ByteArray2INDArray =
-    new ByteArray2INDArray(s.map(x => x: Byte)(breakOut))
-  class ByteArray2INDArray(val underlying: Array[Byte]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray = {
-      val strides = Nd4j.getStrides(shape, ord.value)
-      Nd4j.create(underlying, shape.map(_.toLong), strides.map(_.toLong), ord.value, DataType.BYTE)
-    }
-
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying: _*)
-  }
-
-  implicit def booleanColl2INDArray(s: Seq[Boolean]): BooleanArray2INDArray =
-    new BooleanArray2INDArray(s.toArray)
-  implicit def booleanArray2INDArray(s: Array[Boolean]): BooleanArray2INDArray =
-    new BooleanArray2INDArray(s)
-  implicit def jbooleanColl2INDArray(s: Seq[java.lang.Boolean]): BooleanArray2INDArray =
-    new BooleanArray2INDArray(s.map(x => x: Boolean)(breakOut))
-  class BooleanArray2INDArray(val underlying: Array[Boolean]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray = {
-      val strides = Nd4j.getStrides(shape, ord.value)
-      Nd4j.create(underlying, shape.map(_.toLong), strides.map(_.toLong), ord.value, DataType.BOOL)
-    }
-
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying: _*)
-  }
-
-  implicit def stringArray2INDArray(s: Array[String]): StringArray2INDArray =
-    new StringArray2INDArray(s)
-  implicit def stringArray2CollArray(s: Seq[String]): StringArray2INDArray =
-    new StringArray2INDArray(s.toArray)
-  implicit def jstringColl2INDArray(s: Seq[java.lang.String]): StringArray2INDArray =
-    new StringArray2INDArray(s.map(x => x: String)(breakOut))
-  class StringArray2INDArray(val underlying: Array[String]) extends AnyVal {
-    def mkNDArray(shape: Array[Int], ord: NDOrdering = NDOrdering(Nd4j.order()), offset: Int = 0): INDArray = ???
-
-    def asNDArray(shape: Int*): INDArray = ???
-
-    def toNDArray: INDArray = Nd4j.create(underlying: _*)
-  }
-
-  implicit class FloatMatrix2INDArray(val underlying: Seq[Seq[Float]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.create(underlying.map(_.toArray).toArray, ord.value)
-    def toNDArray: INDArray = Nd4j.create(underlying.map(_.toArray).toArray)
-  }
-
-  implicit class FloatArrayMatrix2INDArray(val underlying: Array[Array[Float]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.create(underlying, ord.value)
-    def toNDArray: INDArray = Nd4j.create(underlying)
-  }
-
-  implicit class DoubleMatrix2INDArray(val underlying: Seq[Seq[Double]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.create(underlying.map(_.toArray).toArray, ord.value)
-    def toNDArray: INDArray = Nd4j.create(underlying.map(_.toArray).toArray)
-  }
-
-  implicit class DoubleArrayMatrix2INDArray(val underlying: Array[Array[Double]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.create(underlying, ord.value)
-    def toNDArray: INDArray = Nd4j.create(underlying)
-  }
-
-  implicit class IntMatrix2INDArray(val underlying: Seq[Seq[Int]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-    def toNDArray: INDArray =
-      Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-  }
-
-  implicit class IntArrayMatrix2INDArray(val underlying: Array[Array[Int]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-  }
-
-  implicit class LongMatrix2INDArray(val underlying: Seq[Seq[Long]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-    def toNDArray: INDArray =
-      Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-  }
-
-  implicit class LongArrayMatrix2INDArray(val underlying: Array[Array[Long]]) extends AnyVal {
-    def mkNDArray(ord: NDOrdering): INDArray =
-      Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-    def toNDArray: INDArray = Nd4j.createFromArray(underlying.map(_.toArray).toArray)
-  }
-
-  /*implicit class Num2Scalar[T](val underlying: T)(implicit ev: Numeric[T]) {
-    def toScalar: INDArray = Nd4j.scalar(ev.toDouble(underlying))
-  }*/
-
-  // TODO: move ops to single trait
-  implicit class Float2Scalar(val underlying: Float) {
-    def +(x: INDArray) = underlying.toScalar + x
-    def *(x: INDArray) = underlying.toScalar * x
-    def /(x: INDArray) = underlying.toScalar / x
-    def \(x: INDArray) = underlying.toScalar \ x
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit class Double2Scalar(val underlying: Double) {
-    def +(x: INDArray) = underlying.toScalar + x
-    def *(x: INDArray) = underlying.toScalar * x
-    def /(x: INDArray) = underlying.toScalar / x
-    def \(x: INDArray) = underlying.toScalar \ x
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit class Long2Scalar(val underlying: Long) {
-    def +(x: INDArray) = underlying.toScalar + x
-    def *(x: INDArray) = underlying.toScalar * x
-    def /(x: INDArray) = underlying.toScalar / x
-    def \(x: INDArray) = underlying.toScalar \ x
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit class Int2Scalar(val underlying: Int) {
-    def +(x: INDArray) = underlying.toScalar + x
-    def *(x: INDArray) = underlying.toScalar * x
-    def /(x: INDArray) = underlying.toScalar / x
-    def \(x: INDArray) = underlying.toScalar \ x
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit class Byte2Scalar(val underlying: Byte) {
-    def +(x: INDArray) = underlying.toScalar + x
-    def *(x: INDArray) = underlying.toScalar * x
-    def /(x: INDArray) = underlying.toScalar / x
-    def \(x: INDArray) = underlying.toScalar \ x
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit class Boolean2Scalar(val underlying: Boolean) {
-    def +(x: INDArray) = underlying.toScalar + x
-    def *(x: INDArray) = underlying.toScalar * x
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit class String2Scalar(val underlying: String) {
-    def toScalar: INDArray = Nd4j.scalar(underlying)
-  }
-
-  implicit def intArray2IndexRangeArray(arr: Array[Int]): Array[IndexRange] =
-    arr.map(new IntRange(_))
-
-  case object -> extends IndexRange {
-    override def hasNegative: Boolean = false
-  }
-
-  case object ---> extends IndexRange {
-    override def hasNegative: Boolean = false
-  }
-
-  case object --- extends IndexRange {
-    override def hasNegative: Boolean = false
-  }
-
-  implicit class IntRange(val underlying: Int) extends IndexNumberRange {
-    protected[nd4s] override def asRange(max: => Int): DRange =
-      DRange(underlying, underlying, true, 1, max)
-
-    override protected[nd4s] def asNDArrayIndex(max: => Int): INDArrayIndex =
-      NDArrayIndex.point(underlying)
-
-    override def hasNegative: Boolean = false
-
-    override def toString: String = s"$underlying"
-  }
-
-  implicit class TupleRange(val underlying: _root_.scala.Tuple2[Int, Int]) extends IndexNumberRange {
-    protected[nd4s] override def asRange(max: => Int): DRange =
-      DRange(underlying._1, underlying._2, false, 1, max)
-
-    override protected[nd4s] def asNDArrayIndex(max: => Int): INDArrayIndex =
-      IndexNumberRange.toNDArrayIndex(underlying._1, underlying._2, false, 1, max)
-
-    override def toString: String = s"${underlying._1}->${underlying._2}"
-
-    override def hasNegative: Boolean = underlying._1 < 0 || underlying._2 < 0
-
-    def by(i: Int) =
-      new IndexRangeWrapper(underlying._1 until underlying._2 by i)
-  }
-
-  implicit class IntRangeFromGen(val underlying: Int) extends AnyVal {
-    def -> = IntRangeFrom(underlying)
-  }
-
-  implicit class IntRangeFromGen1(val underlying: Int) extends AnyVal {
-    def :: = IntRangeFromReverse(underlying)
-  }
-
-  implicit class IndexRangeWrapper(val underlying: Range) extends IndexNumberRange {
-    protected[nd4s] override def asRange(max: => Int): DRange =
-      DRange.from(underlying, max)
-
-    override protected[nd4s] def asNDArrayIndex(max: => Int): INDArrayIndex =
-      IndexNumberRange.toNDArrayIndex(underlying.start, underlying.end, underlying.isInclusive, underlying.step, max)
-
-    override def toString: String =
-      s"${underlying.start}->${underlying.end} by ${underlying.step}"
-
-    override def hasNegative: Boolean =
-      underlying.start < 0 || underlying.end < 0 || underlying.step < 0
-  }
-
-  implicit class NDArrayIndexWrapper(val underlying: INDArrayIndex) extends IndexNumberRange {
-    protected[nd4s] override def asRange(max: => Int): DRange =
-      DRange(underlying.offset().asInstanceOf[Int],
-             underlying.end().asInstanceOf[Int],
-             false,
-             underlying.stride().asInstanceOf[Int],
-             max)
-
-    override protected[nd4s] def asNDArrayIndex(max: => Int): INDArrayIndex =
-      underlying
-
-    override def toString: String =
-      s"${underlying.offset()}->${underlying.end} by ${underlying.stride}"
-
-    override def hasNegative: Boolean = false
-  }
-
-  lazy val NDOrdering = org.nd4s.NDOrdering
-
-  lazy val i = new ImaginaryNumber[Integer](1)
-
-  implicit class Pair2Tuple[T, U](a: Pair[T, U]) {
-    def asScala: (T, U) = (a.getFirst, a.getSecond)
-  }
-
-  implicit class Triple2Tuple[T, U, V](a: Triple[T, U, V]) {
-    def asScala: (T, U, V) = (a.getFirst, a.getSecond, a.getThird)
-  }
-
-  implicit class Tuple2Pair[T, U](a: (T, U)) {
-    def toPair: Pair[T, U] =
-      new Pair(a._1, a._2)
-  }
-
-  implicit class Tuple2Triple[T, U, V](a: (T, U, V)) {
-    def toTriple: Triple[T, U, V] =
-      new Triple(a._1, a._2, a._3)
-  }
-}
-
-private[nd4s] class ImaginaryNumber[T <: Number](val value: T) extends AnyVal {
-  override def toString: String = s"${value}i"
-}
-
-sealed trait IndexNumberRange extends IndexRange {
-  protected[nd4s] def asRange(max: => Int): DRange
-  protected[nd4s] def asNDArrayIndex(max: => Int): INDArrayIndex
-}
-object IndexNumberRange {
-  def toNDArrayIndex(startR: Int, endR: Int, isInclusive: Boolean, step: Int, max: Int): INDArrayIndex = {
-    val (start, end) = {
-      val start = if (startR >= 0) startR else max + startR
-      val diff = if (isInclusive) 1 else 0
-      val endExclusive = if (endR >= 0) endR + diff else max + endR + diff
-      (start, endExclusive)
-    }
-    NDArrayIndex.interval(start, step, end, false)
-  }
-}
-
-/*sealed*/
-trait IndexRange {
-  def hasNegative: Boolean
-}
-
-case class IntRangeFrom(underlying: Int) extends IndexRange {
-  def apply[T](a: T): (Int, T) =
-    (underlying, a)
-
-  override def toString: String = s"$underlying->"
-
-  override def hasNegative: Boolean = false
-}
-
-case class IntRangeFromReverse(underlying: Int) extends IndexRange {
-  def apply[T](a: T): (T, Int) =
-    (a, underlying)
-
-  override def toString: String = s"$underlying->"
-
-  override def hasNegative: Boolean = false
-}
-
-private[nd4s] case class DRange(startR: Int, endR: Int, isInclusive: Boolean, step: Int, max: Int) {
-  lazy val (start, end) = {
-    val start = if (startR >= 0) startR else max + startR
-    val diff = if (isInclusive) 0 else if (step >= 0) -1 else +1
-    val endInclusive = if (endR >= 0) endR + diff else max + endR + diff
-    (start, endInclusive)
-  }
-  lazy val length = (end - start) / step + 1
-
-  def toList: List[Int] = List.iterate(start, length)(_ + step)
-
-  override def toString: String = s"[$start to $end by $step len:$length]"
-}
-
-private[nd4s] object DRange extends {
-  def from(r: Range, max: => Int): DRange =
-    DRange(r.start, r.end, r.isInclusive, r.step, max)
-
-  def apply(startR: Int, endR: Int, step: Int): DRange =
-    DRange(startR, endR, false, step, Int.MinValue)
-}
diff --git a/nd4s/src/main/scala/org/nd4s/NDArrayEvidence.scala b/nd4s/src/main/scala/org/nd4s/NDArrayEvidence.scala
deleted file mode 100644
index bc520db55..000000000
--- a/nd4s/src/main/scala/org/nd4s/NDArrayEvidence.scala
+++ /dev/null
@@ -1,558 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.indexing.INDArrayIndex
-import org.nd4s.Implicits._
-
-object Evidences {
-  implicit val double = DoubleNDArrayEvidence
-  implicit val float = FloatNDArrayEvidence
-  implicit val int = IntNDArrayEvidence
-  implicit val long = LongNDArrayEvidence
-  implicit val byte = ByteNDArrayEvidence
-}
-
-object NDArrayEvidence {
-  implicit val doubleNDArrayEvidence = DoubleNDArrayEvidence
-
-}
-
-trait NDArrayEvidence[NDArray <: INDArray, Value] {
-
-  def sum(ndarray: NDArray): Value
-
-  def mean(ndarray: NDArray): Value
-
-  def normMax(ndarray: NDArray): Value
-
-  def norm1(ndarray: NDArray): Value
-
-  def norm2(ndarray: NDArray): Value
-
-  def max(ndarray: NDArray): Value
-
-  def min(ndarray: NDArray): Value
-
-  def standardDeviation(ndarray: NDArray): Value
-
-  def product(ndarray: NDArray): Value
-
-  def variance(ndarray: NDArray): Value
-
-  def remainder(a: NDArray, that: INDArray): NDArray
-
-  def add(a: NDArray, that: INDArray): NDArray
-
-  def sub(a: NDArray, that: INDArray): NDArray
-
-  def mul(a: NDArray, that: INDArray): NDArray
-
-  def mmul(a: NDArray, that: INDArray): NDArray
-
-  def div(a: NDArray, that: INDArray): NDArray
-
-  def rdiv(a: NDArray, that: INDArray): NDArray
-
-  def addi(a: NDArray, that: INDArray): NDArray
-
-  def subi(a: NDArray, that: INDArray): NDArray
-
-  def muli(a: NDArray, that: INDArray): NDArray
-
-  def mmuli(a: NDArray, that: INDArray): NDArray
-
-  def remainderi(a: NDArray, that: INDArray): NDArray
-
-  def remainderi(a: NDArray, that: Number): NDArray
-
-  def divi(a: NDArray, that: INDArray): NDArray
-
-  def rdivi(a: NDArray, that: INDArray): NDArray
-
-  def remainder(a: NDArray, that: Number): NDArray
-
-  def add(a: NDArray, that: Number): NDArray
-
-  def sub(a: NDArray, that: Number): NDArray
-
-  def mul(a: NDArray, that: Number): NDArray
-
-  def div(a: NDArray, that: Number): NDArray
-
-  def rdiv(a: NDArray, that: Number): NDArray
-
-  def addi(a: NDArray, that: Number): NDArray
-
-  def subi(a: NDArray, that: Number): NDArray
-
-  def muli(a: NDArray, that: Number): NDArray
-
-  def divi(a: NDArray, that: Number): NDArray
-
-  def rdivi(a: NDArray, that: Number): NDArray
-
-  def put(a: NDArray, i: Int, element: INDArray): NDArray
-
-  def put(a: NDArray, i: Array[Int], element: INDArray): NDArray
-
-  def get(a: NDArray, i: Long): Value
-
-  //def get(a: NDArray, i: Long, j: Long): Value
-
-  def get(a: NDArray, i: Long*): Value
-
-  def get(a: NDArray, i: INDArrayIndex*): NDArray
-
-  def reshape(a: NDArray, i: Int*): NDArray
-
-  def linearView(a: NDArray): NDArray
-
-  def dup(a: NDArray): NDArray
-
-  def create(arr: Array[Value]): NDArray
-
-  def create(arr: Array[Value], shape: Int*): NDArray
-
-  def create(arr: Array[Value], shape: Array[Int], ordering: NDOrdering, offset: Int): NDArray
-
-  def update(a: NDArray, indices: Array[IndexRange], i: Value): NDArray
-
-  def update(a: NDArray, indices: Array[IndexRange], i: NDArray): NDArray
-
-  def greaterThan(left: Value, right: Value): Boolean
-
-  def lessThan(left: Value, right: Value): Boolean
-}
-
-trait RealNDArrayEvidence[Value] extends NDArrayEvidence[INDArray, Value] {
-
-  override def remainder(a: INDArray, that: INDArray): INDArray =
-    a.remainder(that)
-
-  override def add(a: INDArray, that: INDArray): INDArray = a.add(that)
-
-  override def div(a: INDArray, that: INDArray): INDArray = a.div(that)
-
-  override def mul(a: INDArray, that: INDArray): INDArray = a.mul(that)
-
-  override def rdiv(a: INDArray, that: INDArray): INDArray = a.rdiv(that)
-
-  override def sub(a: INDArray, that: INDArray): INDArray = a.sub(that)
-
-  override def mmul(a: INDArray, that: INDArray): INDArray = a.mmul(that)
-
-  override def addi(a: INDArray, that: INDArray): INDArray = a.addi(that)
-
-  override def subi(a: INDArray, that: INDArray): INDArray = a.subi(that)
-
-  override def muli(a: INDArray, that: INDArray): INDArray = a.muli(that)
-
-  override def mmuli(a: INDArray, that: INDArray): INDArray = a.mmuli(that)
-
-  override def remainderi(a: INDArray, that: INDArray): INDArray =
-    a.remainderi(that)
-
-  override def remainderi(a: INDArray, that: Number): INDArray =
-    a.remainderi(that)
-
-  override def divi(a: INDArray, that: INDArray): INDArray = a.divi(that)
-
-  override def rdivi(a: INDArray, that: INDArray): INDArray = a.rdivi(that)
-
-  override def remainder(a: INDArray, that: Number): INDArray =
-    a.remainder(that)
-
-  override def add(a: INDArray, that: Number): INDArray = a.add(that)
-
-  override def sub(a: INDArray, that: Number): INDArray = a.sub(that)
-
-  override def mul(a: INDArray, that: Number): INDArray = a.mul(that)
-
-  override def div(a: INDArray, that: Number): INDArray = a.div(that)
-
-  override def rdiv(a: INDArray, that: Number): INDArray = a.rdiv(that)
-
-  override def addi(a: INDArray, that: Number): INDArray = a.addi(that)
-
-  override def subi(a: INDArray, that: Number): INDArray = a.subi(that)
-
-  override def muli(a: INDArray, that: Number): INDArray = a.muli(that)
-
-  override def divi(a: INDArray, that: Number): INDArray = a.divi(that)
-
-  override def rdivi(a: INDArray, that: Number): INDArray = a.rdivi(that)
-
-  override def put(a: INDArray, i: Array[Int], element: INDArray): INDArray =
-    a.put(i, element)
-
-  override def put(a: INDArray, i: Int, element: INDArray): INDArray =
-    a.put(i, element)
-
-  override def get(a: INDArray, i: INDArrayIndex*): INDArray = a.get(i: _*)
-
-  override def reshape(a: INDArray, i: Int*): INDArray =
-    a.reshape(i.map(_.toLong): _*)
-
-  override def linearView(a: INDArray): INDArray = a.reshape(-1)
-
-  override def dup(a: INDArray): INDArray = a.dup()
-
-  override def update(underlying: INDArray, ir: Array[IndexRange], num: INDArray): INDArray = {
-    if (ir.exists(_.hasNegative))
-      underlying.indicesFrom(ir: _*).indices.foreach { i =>
-        underlying.put(i, num)
-      } else
-      underlying.put(underlying.getINDArrayIndexfrom(ir: _*).toArray, num)
-    underlying
-  }
-}
-
-case object DoubleNDArrayEvidence extends RealNDArrayEvidence[Double] {
-
-  override def sum(ndarray: INDArray): Double =
-    ndarray.sumNumber().doubleValue()
-
-  override def mean(ndarray: INDArray): Double =
-    ndarray.meanNumber().doubleValue()
-
-  override def variance(ndarray: INDArray): Double =
-    ndarray.varNumber().doubleValue()
-
-  override def norm2(ndarray: INDArray): Double =
-    ndarray.norm2Number().doubleValue()
-
-  override def max(ndarray: INDArray): Double =
-    ndarray.maxNumber().doubleValue()
-
-  override def product(ndarray: INDArray): Double =
-    ndarray.prodNumber().doubleValue()
-
-  override def standardDeviation(ndarray: INDArray): Double =
-    ndarray.stdNumber().doubleValue()
-
-  override def normMax(ndarray: INDArray): Double =
-    ndarray.normmaxNumber().doubleValue()
-
-  override def min(ndarray: INDArray): Double =
-    ndarray.minNumber().doubleValue()
-
-  override def norm1(ndarray: INDArray): Double =
-    ndarray.norm1Number().doubleValue()
-
-  override def get(a: INDArray, i: Long): Double = a.getDouble(i)
-
-  //override def get(a: INDArray, i: Int): Double = a.getDouble(i.toLong)
-
-  //override def get(a: INDArray, i: Int, j: Int): Double = a.getDouble(i.toLong, j.toLong)
-
-  //override def get(a: INDArray, i: Int*): Double = a.getDouble(i: _*)
-
-  override def get(a: INDArray, i: Long*): Double = a.getDouble(i: _*)
-
-  override def create(arr: Array[Double]): INDArray = arr.toNDArray
-
-  override def create(arr: Array[Double], shape: Int*): INDArray =
-    arr.asNDArray(shape: _*)
-
-  override def create(arr: Array[Double], shape: Array[Int], ordering: NDOrdering, offset: Int): INDArray =
-    arr.mkNDArray(shape, ordering, offset)
-
-  override def update(underlying: INDArray, ir: Array[IndexRange], num: Double): INDArray = {
-    if (ir.length == 1 && !ir.head.hasNegative && ir.head
-          .isInstanceOf[IntRange])
-      underlying.putScalar(ir.head.asInstanceOf[IntRange].underlying, num)
-    else if (ir.exists(_.hasNegative))
-      underlying.indicesFrom(ir: _*).indices.foreach { i =>
-        underlying.putScalar(i, num)
-      } else
-      underlying.put(underlying.getINDArrayIndexfrom(ir: _*).toArray, num)
-    underlying
-  }
-
-  override def greaterThan(left: Double, right: Double): Boolean = left > right
-
-  override def lessThan(left: Double, right: Double): Boolean = left < right
-
-}
-
-case object FloatNDArrayEvidence extends RealNDArrayEvidence[Float] {
-
-  override def sum(ndarray: INDArray): Float = ndarray.sumNumber().floatValue()
-
-  override def mean(ndarray: INDArray): Float =
-    ndarray.meanNumber().floatValue()
-
-  override def variance(ndarray: INDArray): Float =
-    ndarray.varNumber().floatValue()
-
-  override def norm2(ndarray: INDArray): Float =
-    ndarray.norm2Number().floatValue()
-
-  override def max(ndarray: INDArray): Float = ndarray.maxNumber().floatValue()
-
-  override def product(ndarray: INDArray): Float =
-    ndarray.prodNumber().floatValue()
-
-  override def standardDeviation(ndarray: INDArray): Float =
-    ndarray.stdNumber().floatValue()
-
-  override def normMax(ndarray: INDArray): Float =
-    ndarray.normmaxNumber().floatValue()
-
-  override def min(ndarray: INDArray): Float = ndarray.minNumber().floatValue()
-
-  override def norm1(ndarray: INDArray): Float =
-    ndarray.norm1Number().floatValue()
-
-  override def get(a: INDArray, i: Long): Float = a.getFloat(i)
-
-  //override def get(a: INDArray, i: Long, j: Long): Float = a.getFloat(i, j)
-
-  //override def get(a: INDArray, i: Int*): Float = a.getFloat(i: _*)
-
-  override def get(a: INDArray, i: Long*): Float = a.getFloat(i: _*)
-
-  override def create(arr: Array[Float]): INDArray = arr.toNDArray
-
-  override def create(arr: Array[Float], shape: Int*): INDArray =
-    arr.asNDArray(shape: _*)
-
-  override def create(arr: Array[Float], shape: Array[Int], ordering: NDOrdering, offset: Int): INDArray =
-    arr.mkNDArray(shape, ordering)
-
-  override def update(underlying: INDArray, ir: Array[IndexRange], num: Float): INDArray = {
-    if (ir.length == 1 && !ir.head.hasNegative && ir.head
-          .isInstanceOf[IntRange])
-      underlying.putScalar(ir.head.asInstanceOf[IntRange].underlying, num)
-    else if (ir.exists(_.hasNegative))
-      underlying.indicesFrom(ir: _*).indices.foreach { i =>
-        underlying.putScalar(i, num)
-      } else
-      underlying.put(underlying.getINDArrayIndexfrom(ir: _*).toArray, num)
-    underlying
-  }
-
-  override def greaterThan(left: Float, right: Float): Boolean = left > right
-
-  override def lessThan(left: Float, right: Float): Boolean = left < right
-}
-
-trait IntegerNDArrayEvidence[Value] extends NDArrayEvidence[INDArray, Value] {
-  def remainder(a: INDArray, that: INDArray): INDArray = a.remainder(that)
-
-  def add(a: INDArray, that: INDArray): INDArray = a.add(that)
-
-  def sub(a: INDArray, that: INDArray): INDArray = a.sub(that)
-
-  def mul(a: INDArray, that: INDArray): INDArray = a.mul(that)
-
-  def mmul(a: INDArray, that: INDArray): INDArray = a.mmul(that)
-
-  def div(a: INDArray, that: INDArray): INDArray = a.div(that)
-
-  def rdiv(a: INDArray, that: INDArray): INDArray = a.rdiv(that)
-
-  def addi(a: INDArray, that: INDArray): INDArray = a.addi(that)
-
-  def subi(a: INDArray, that: INDArray): INDArray = a.subi(that)
-
-  def muli(a: INDArray, that: INDArray): INDArray = a.muli(that)
-
-  def mmuli(a: INDArray, that: INDArray): INDArray = a.mmuli(that)
-
-  def remainderi(a: INDArray, that: INDArray): INDArray = a.remainder(that)
-
-  def remainderi(a: INDArray, that: Number): INDArray = a.remainderi(that)
-
-  def divi(a: INDArray, that: INDArray): INDArray = a.divi(that)
-
-  def rdivi(a: INDArray, that: INDArray): INDArray = a.rdivi(that)
-
-  def remainder(a: INDArray, that: Number): INDArray = a.remainder(that)
-
-  def add(a: INDArray, that: Number): INDArray = a.add(that)
-
-  def sub(a: INDArray, that: Number): INDArray = a.sub(that)
-
-  def mul(a: INDArray, that: Number): INDArray = a.mul(that)
-
-  def div(a: INDArray, that: Number): INDArray = a.div(that)
-
-  def rdiv(a: INDArray, that: Number): INDArray = a.rdiv(that)
-
-  def addi(a: INDArray, that: Number): INDArray = a.addi(that)
-
-  def subi(a: INDArray, that: Number): INDArray = a.subi(that)
-
-  def muli(a: INDArray, that: Number): INDArray = a.muli(that)
-
-  def divi(a: INDArray, that: Number): INDArray = a.divi(that)
-
-  def rdivi(a: INDArray, that: Number): INDArray = a.rdivi(that)
-
-  def put(a: INDArray, i: Int, element: INDArray): INDArray = a.put(i, element)
-
-  def put(a: INDArray, i: Array[Int], element: INDArray): INDArray = a.put(i, element)
-
-  def get(a: INDArray, i: INDArrayIndex*): INDArray = a.get(i: _*)
-
-  def reshape(a: INDArray, i: Int*): INDArray = a.reshape(i.map(_.toLong): _*)
-
-  def linearView(a: INDArray): INDArray = a.reshape(-1)
-
-  def dup(a: INDArray): INDArray = a.dup()
-
-  def update(a: INDArray, indices: Array[IndexRange], i: Int): INDArray =
-    a.update(indices, i)
-
-  def update(a: INDArray, indices: Array[IndexRange], i: INDArray): INDArray =
-    a.update(indices, i)
-}
-
-case object IntNDArrayEvidence extends IntegerNDArrayEvidence[Int] {
-
-  def sum(ndarray: INDArray): Int = ndarray.sumNumber().intValue()
-
-  def mean(ndarray: INDArray): Int = ndarray.meanNumber().intValue()
-
-  def normMax(ndarray: INDArray): Int = ndarray.normmaxNumber().intValue()
-
-  def norm1(ndarray: INDArray): Int = ndarray.norm1Number().intValue()
-
-  def norm2(ndarray: INDArray): Int = ndarray.norm2Number().intValue()
-
-  def max(ndarray: INDArray): Int = ndarray.maxNumber().intValue()
-
-  def min(ndarray: INDArray): Int = ndarray.minNumber().intValue()
-
-  def standardDeviation(ndarray: INDArray): Int = ndarray.stdNumber().intValue()
-
-  def product(ndarray: INDArray): Int = ndarray.prodNumber().intValue()
-
-  def variance(ndarray: INDArray): Int = ndarray.varNumber().intValue()
-
-  def get(a: INDArray, i: Long): Int = a.getInt(i.toInt)
-
-  def get(a: INDArray, i: Int): Int = a.getInt(i)
-
-  def get(a: INDArray, i: Int, j: Int): Int = a.getInt(i, j)
-
-  def get(a: INDArray, i: Long*): Int =
-    a.getInt(i.map(_.toInt): _*)
-
-  def create(arr: Array[Int]): INDArray = arr.toNDArray
-
-  def create(arr: Array[Int], shape: Int*): INDArray = arr.toNDArray
-
-  def create(arr: Array[Int], shape: Array[Int], ordering: NDOrdering, offset: Int): INDArray =
-    arr.mkNDArray(shape, ordering, offset)
-
-  def greaterThan(left: Int, right: Int): Boolean = left > right
-
-  def lessThan(left: Int, right: Int): Boolean = left < right
-}
-
-case object LongNDArrayEvidence extends IntegerNDArrayEvidence[Long] {
-
-  def sum(ndarray: INDArray): Long = ndarray.sumNumber().longValue()
-
-  def mean(ndarray: INDArray): Long = ndarray.meanNumber().longValue()
-
-  def normMax(ndarray: INDArray): Long = ndarray.normmaxNumber().longValue()
-
-  def norm1(ndarray: INDArray): Long = ndarray.norm1Number().longValue()
-
-  def norm2(ndarray: INDArray): Long = ndarray.norm2Number().longValue()
-
-  def max(ndarray: INDArray): Long = ndarray.maxNumber().longValue()
-
-  def min(ndarray: INDArray): Long = ndarray.minNumber().longValue()
-
-  def standardDeviation(ndarray: INDArray): Long = ndarray.stdNumber().longValue()
-
-  def product(ndarray: INDArray): Long = ndarray.prodNumber().longValue()
-
-  def variance(ndarray: INDArray): Long = ndarray.varNumber().longValue()
-
-  def get(a: INDArray, i: Long): Long = a.getLong(i)
-
-  def get(a: INDArray, i: Int): Long = a.getLong(i)
-
-  def get(a: INDArray, i: Int, j: Int): Long = a.getLong(i, j)
-
-  def get(a: INDArray, i: Long*): Long = a.getLong(i: _*)
-
-  def create(arr: Array[Long]): INDArray = arr.toNDArray
-
-  def create(arr: Array[Long], shape: Int*): INDArray = arr.toNDArray
-
-  def create(arr: Array[Long], shape: Array[Int], ordering: NDOrdering, offset: Int): INDArray =
-    arr.mkNDArray(shape, ordering, offset)
-
-  def greaterThan(left: Long, right: Long): Boolean = left > right
-
-  def lessThan(left: Long, right: Long): Boolean = left < right
-
-  def update(a: INDArray, indices: Array[IndexRange], i: Long): INDArray =
-    a.update(indices, i)
-}
-
-case object ByteNDArrayEvidence extends IntegerNDArrayEvidence[Byte] {
-
-  def sum(ndarray: INDArray): Byte = ndarray.sumNumber().byteValue()
-
-  def mean(ndarray: INDArray): Byte = ndarray.meanNumber().byteValue()
-
-  def normMax(ndarray: INDArray): Byte = ndarray.normmaxNumber().byteValue()
-
-  def norm1(ndarray: INDArray): Byte = ndarray.norm1Number().byteValue()
-
-  def norm2(ndarray: INDArray): Byte = ndarray.norm2Number().byteValue()
-
-  def max(ndarray: INDArray): Byte = ndarray.maxNumber().byteValue()
-
-  def min(ndarray: INDArray): Byte = ndarray.minNumber().byteValue()
-
-  def standardDeviation(ndarray: INDArray): Byte = ndarray.stdNumber().byteValue()
-
-  def product(ndarray: INDArray): Byte = ndarray.prodNumber().byteValue()
-
-  def variance(ndarray: INDArray): Byte = ndarray.varNumber().byteValue()
-
-  def get(a: INDArray, i: Long): Byte = a.getInt(i.toInt).toByte
-
-  def get(a: INDArray, i: Int): Byte = a.getInt(i).toByte
-
-  def get(a: INDArray, i: Int, j: Int): Byte = a.getInt(i, j).toByte
-
-  def get(a: INDArray, i: Long*): Byte = a.getInt(i.map(_.toInt): _*).toByte
-
-  def create(arr: Array[Byte]): INDArray = arr.toNDArray
-
-  def create(arr: Array[Byte], shape: Int*): INDArray = arr.toNDArray
-
-  def create(arr: Array[Byte], shape: Array[Int], ordering: NDOrdering, offset: Int): INDArray =
-    arr.mkNDArray(shape, ordering, offset)
-
-  def greaterThan(left: Byte, right: Byte): Boolean = left > right
-
-  def lessThan(left: Byte, right: Byte): Boolean = left < right
-
-  def update(a: INDArray, indices: Array[IndexRange], i: Byte): INDArray =
-    a.update(indices, i)
-}
diff --git a/nd4s/src/main/scala/org/nd4s/NDOrdering.scala b/nd4s/src/main/scala/org/nd4s/NDOrdering.scala
deleted file mode 100644
index 22e7bef04..000000000
--- a/nd4s/src/main/scala/org/nd4s/NDOrdering.scala
+++ /dev/null
@@ -1,36 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.factory.NDArrayFactory
-
-sealed trait NDOrdering {
-  val value: Char
-}
-object NDOrdering {
-  case object Fortran extends NDOrdering {
-    override val value: Char = NDArrayFactory.FORTRAN
-  }
-  case object C extends NDOrdering {
-    override val value: Char = NDArrayFactory.C
-  }
-  def apply(char: Char): NDOrdering = char.toLower match {
-    case 'c' => C
-    case 'f' => Fortran
-    case _ =>
-      throw new IllegalArgumentException("NDimensional Ordering accepts only 'c' or 'f'.")
-  }
-}
diff --git a/nd4s/src/main/scala/org/nd4s/OperatableNDArray.scala b/nd4s/src/main/scala/org/nd4s/OperatableNDArray.scala
deleted file mode 100644
index 4e28704b3..000000000
--- a/nd4s/src/main/scala/org/nd4s/OperatableNDArray.scala
+++ /dev/null
@@ -1,165 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.ndarray.INDArray
-
-/**
-  * Scala DSL for arrays
-  */
-trait OperatableNDArray[A <: INDArray] {
-  val underlying: A
-
-  // to keep compatibility with Predef.any2stringadd syntax.
-  def +(that: String): String = underlying.toString() + that
-
-  // --- INDArray operators
-  def +(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.add(underlying, that)
-
-  def -(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.sub(underlying, that)
-
-  /** element-by-element multiplication */
-  def *(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.mul(underlying, that)
-
-  /** matrix multiplication */
-  def **(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.mmul(underlying, that)
-
-  /** matrix multiplication using Numpy syntax for arrays */
-  def dot(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.mmul(underlying, that)
-
-  def /(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.div(underlying, that)
-
-  /** right division ... is this the correct symbol? */
-  def \(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.rdiv(underlying, that)
-
-  // --- In-place INDArray opertors
-  /** In-place addition */
-  def +=(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.addi(underlying, that)
-
-  /** In-place subtraction */
-  def -=(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.subi(underlying, that)
-
-  /** In-placeelement-by-element multiplication */
-  def *=(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.muli(underlying, that)
-
-  /** In-place matrix multiplication */
-  def **=(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.mmuli(underlying, that)
-
-  /** In-place division */
-  def /=(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.divi(underlying, that)
-
-  /** In-place right division */
-  def \=(that: INDArray)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.rdivi(underlying, that)
-
-  // --- Number operators
-  def +(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.add(underlying, that)
-
-  def -(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.sub(underlying, that)
-
-  def *(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.mul(underlying, that)
-
-  def /(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.div(underlying, that)
-
-  def \(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.rdiv(underlying, that)
-
-  // --- In-place Number operators
-  def +=(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.addi(underlying, that)
-
-  def -=(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.subi(underlying, that)
-
-  def *=(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.muli(underlying, that)
-
-  def /=(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.divi(underlying, that)
-
-  def %=(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.remainderi(underlying, that)
-
-  /** right division ... is this the correct symbol? */
-  def \=(that: Number)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.rdivi(underlying, that)
-
-  def get[B](i: Int)(implicit ev: NDArrayEvidence[A, B]): B =
-    ev.get(underlying, i)
-
-  def get[B](i: Int, j: Int)(implicit ev: NDArrayEvidence[A, B]): B =
-    ev.get(underlying, i, j)
-
-  def get[B](indices: Int*)(implicit ev: NDArrayEvidence[A, B]): B =
-    ev.get(underlying, indices.map(_.toLong): _*)
-
-  def apply[B](i: Int)(implicit ev: NDArrayEvidence[A, B]): B = get(i)
-
-  def apply[B](i: Int, j: Int)(implicit ev: NDArrayEvidence[A, B]): B =
-    get(i, j)
-
-  def apply[B](indices: Int*)(implicit ev: NDArrayEvidence[A, B]): B =
-    ev.get(underlying, indices.map(_.toLong): _*)
-
-  def get[B](indices: Array[Int])(implicit ev: NDArrayEvidence[A, B]): B =
-    ev.get(underlying, indices.map(_.toLong): _*)
-
-  def unary_-(): INDArray = underlying.neg()
-
-  def T: INDArray = underlying.transpose()
-
-  def ===(other: Number): INDArray = underlying.eq(other)
-
-  def ===(other: INDArray): INDArray = underlying.eq(other)
-
-  def sumT[B](implicit ev: NDArrayEvidence[A, B]): B = ev.sum(underlying)
-
-  def meanT[B](implicit ev: NDArrayEvidence[A, B]): B = ev.mean(underlying)
-
-  def normMaxT[B](implicit ev: NDArrayEvidence[A, B]): B =
-    ev.normMax(underlying)
-
-  def norm1T[B](implicit ev: NDArrayEvidence[A, B]): B = ev.norm1(underlying)
-
-  def norm2T[B](implicit ev: NDArrayEvidence[A, B]): B = ev.norm2(underlying)
-
-  def maxT[B](implicit ev: NDArrayEvidence[A, B]): B = ev.max(underlying)
-
-  def minT[B](implicit ev: NDArrayEvidence[A, B]): B = ev.min(underlying)
-
-  def stdT[B](implicit ev: NDArrayEvidence[A, B]): B =
-    ev.standardDeviation(underlying)
-
-  def prodT[B](implicit ev: NDArrayEvidence[A, B]): B = ev.product(underlying)
-
-  def varT[B]()(implicit ev: NDArrayEvidence[A, B]): B = ev.variance(underlying)
-}
diff --git a/nd4s/src/main/scala/org/nd4s/RowProjectedNDArray.scala b/nd4s/src/main/scala/org/nd4s/RowProjectedNDArray.scala
deleted file mode 100644
index c86a68566..000000000
--- a/nd4s/src/main/scala/org/nd4s/RowProjectedNDArray.scala
+++ /dev/null
@@ -1,52 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.indexing.{ NDArrayIndex, SpecifiedIndex }
-
-class RowProjectedNDArray(val array: INDArray, val filtered: Array[Int]) {
-  def this(ndarray: INDArray) {
-    this(ndarray, (0 until ndarray.rows()).toArray)
-  }
-
-  def mapi(f: INDArray => INDArray): INDArray = {
-    for {
-      i <- filtered
-    } array.putRow(i, f(array.getRow(i)))
-    array.get(new SpecifiedIndex(filtered: _*), NDArrayIndex.all())
-  }
-
-  def map(f: INDArray => INDArray): INDArray =
-    new RowProjectedNDArray(array.dup(), filtered).mapi(f)
-
-  def flatMap(f: INDArray => INDArray): INDArray = map(f)
-
-  def flatMapi(f: INDArray => INDArray): INDArray = mapi(f)
-
-  def foreach(f: INDArray => Unit): Unit =
-    for {
-      i <- filtered
-    } f(array.getColumn(i))
-
-  def withFilter(f: INDArray => Boolean): RowProjectedNDArray = {
-    val targets = for {
-      i <- filtered
-      if f(array.getRow(i))
-    } yield i
-    new RowProjectedNDArray(array, targets)
-  }
-}
diff --git a/nd4s/src/main/scala/org/nd4s/SliceProjectedNDArray.scala b/nd4s/src/main/scala/org/nd4s/SliceProjectedNDArray.scala
deleted file mode 100644
index a4d2c3864..000000000
--- a/nd4s/src/main/scala/org/nd4s/SliceProjectedNDArray.scala
+++ /dev/null
@@ -1,52 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.indexing.{ NDArrayIndex, SpecifiedIndex }
-
-class SliceProjectedNDArray(val array: INDArray, val filtered: Array[Int]) {
-  def this(ndarray: INDArray) {
-    this(ndarray, (0 until ndarray.slices().toInt).toArray)
-  }
-
-  def mapi(f: INDArray => INDArray): INDArray = {
-    for {
-      i <- filtered
-    } array.putSlice(i, f(array.slice(i)))
-    array.get(new SpecifiedIndex(filtered: _*) +: NDArrayIndex.allFor(array).init: _*)
-  }
-
-  def map(f: INDArray => INDArray): INDArray =
-    new SliceProjectedNDArray(array.dup(), filtered).flatMapi(f)
-
-  def flatMap(f: INDArray => INDArray): INDArray = map(f)
-
-  def flatMapi(f: INDArray => INDArray): INDArray = mapi(f)
-
-  def foreach(f: INDArray => Unit): Unit =
-    for {
-      i <- filtered
-    } f(array.slice(i))
-
-  def withFilter(f: INDArray => Boolean): SliceProjectedNDArray = {
-    val targets = for {
-      i <- filtered
-      if f(array.slice(i))
-    } yield i
-    new SliceProjectedNDArray(array, targets)
-  }
-}
diff --git a/nd4s/src/main/scala/org/nd4s/SliceableNDArray.scala b/nd4s/src/main/scala/org/nd4s/SliceableNDArray.scala
deleted file mode 100644
index 87163639e..000000000
--- a/nd4s/src/main/scala/org/nd4s/SliceableNDArray.scala
+++ /dev/null
@@ -1,356 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4s.Implicits._
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4j.linalg.indexing.{ INDArrayIndex, NDArrayIndex }
-import org.slf4j.LoggerFactory
-
-import _root_.scala.annotation.tailrec
-
-package object ops {
-  case object :: extends IndexRange {
-    override def hasNegative: Boolean = false
-  }
-}
-
-trait SliceableNDArray[A <: INDArray] {
-  lazy val log = LoggerFactory.getLogger(classOf[SliceableNDArray[A]])
-  val underlying: A
-
-  def apply[B](target: IndexRange*)(implicit ev: NDArrayEvidence[A, B], ev2: Manifest[B]): A =
-    subMatrix(target: _*)(ev, ev2)
-
-  /*
-    Extract subMatrix at given position.
-   */
-  def subMatrix[B](target: IndexRange*)(implicit ev: NDArrayEvidence[A, B], ev2: Manifest[B]): A = {
-    require(target.size <= underlying.shape().length,
-            "Matrix dimension must be equal or larger than shape's dimension to extract.")
-
-    if (target.exists(_.hasNegative)) {
-      val SubMatrixIndices(indices, targetShape) = indicesFrom(target: _*)
-
-      val lv = ev.linearView(underlying)
-      val filtered = indices.map { i =>
-        ev.get(lv, i)
-      }.toArray
-
-      ev.create(filtered, targetShape, NDOrdering(underlying.ordering()), 0)
-
-    } else {
-
-      ev.get(underlying, getINDArrayIndexfrom(target: _*): _*)
-    }
-  }
-
-  def indicesFrom(target: IndexRange*): SubMatrixIndices = {
-    val originalShape: List[Int] =
-      if (underlying.isRowVector && underlying.shape().length == 1)
-        1 +: underlying.shape().map(_.toInt).toList
-      else
-        underlying.shape().map(_.toInt).toList
-
-    val originalTarget =
-      if (underlying.isRowVector && target.size == 1)
-        IntRange(0) +: target
-      else
-        target
-
-    @tailrec
-    def modifyTargetIndices(input: List[IndexRange], i: Int, acc: List[DRange]): List[DRange] = input match {
-      case ops.:: :: t =>
-        modifyTargetIndices(t, i + 1, DRange(0, originalShape(i), 1) :: acc)
-      case -> :: t =>
-        modifyTargetIndices(t, i + 1, DRange(0, originalShape(i), 1) :: acc)
-      case ---> :: t =>
-        val ellipsised = List.fill(originalShape.length - i - t.size)(->)
-        modifyTargetIndices(ellipsised ::: t, i, acc)
-      case IntRangeFrom(from: Int) :: t =>
-        val max = originalShape(i)
-        modifyTargetIndices(t, i + 1, DRange(from, max, false, 1, max) :: acc)
-      case (inr: IndexNumberRange) :: t =>
-        modifyTargetIndices(t, i + 1, inr.asRange(originalShape(i)) :: acc)
-
-      case Nil =>
-        acc.reverse
-    }
-
-    val modifiedTarget = modifyTargetIndices(originalTarget.toList, 0, Nil)
-
-    val targetShape = modifiedTarget.map(_.length).toArray
-
-    def calcIndices(tgt: List[DRange], stride: List[Int]): List[Int] = {
-      val indicesOnAxis = (tgt zip stride).collect {
-        case (range, st) => range.toList.map(_ * st)
-      }
-      indicesOnAxis
-        .reduceLeftOption[List[Int]] {
-          case (l, r) =>
-            if (underlying.ordering() == NDOrdering.C.value)
-              l.flatMap { i =>
-                r.map(_ + i)
-              } else
-              r.flatMap { i =>
-                l.map(_ + i)
-              }
-        }
-        .getOrElse(List.empty)
-    }
-
-    val indices =
-      calcIndices(modifiedTarget.toList, Nd4j.getStrides(originalShape.toArray, underlying.ordering()).toList)
-    log.trace(s"${target.mkString("[", ",", "]")} means $modifiedTarget at ${originalShape
-      .mkString("[", "x", s"]${underlying.ordering}")} matrix with stride:${underlying.stride
-      .mkString(",")}. Target shape:${targetShape
-      .mkString("[", "x", s"]${underlying.ordering}")} indices:$indices")
-    SubMatrixIndices(indices, targetShape)
-  }
-
-  def getINDArrayIndexfrom(target: IndexRange*): List[INDArrayIndex] = {
-    val originalShape: List[Int] =
-      if (underlying.isRowVector && underlying.shape().length == 1)
-        1 +: underlying.shape().map(_.toInt).toList
-      else
-        underlying.shape().map(_.toInt).toList
-
-    val originalTarget =
-      /*if (underlying.isRowVector && target.size == 1)
-        IntRange(0) +: target
-      else*/
-      target
-
-    @tailrec
-    def modifyTargetIndices(input: List[IndexRange], i: Int, acc: List[INDArrayIndex]): List[INDArrayIndex] =
-      input match {
-        case -> :: t =>
-          val all = NDArrayIndex.all()
-          all.init(underlying, i)
-          modifyTargetIndices(t, i + 1, all :: acc)
-        case ---> :: t =>
-          val ellipsised = List.fill(originalShape.length - i - t.size)(->)
-          modifyTargetIndices(ellipsised ::: t, i, acc)
-        case --- :: t =>
-          val ellipsised = List.fill(originalShape.length - i - t.size)(->)
-          modifyTargetIndices(ellipsised ::: t, i, acc)
-        case IntRangeFrom(from: Int) :: t =>
-          val max = originalShape(i)
-          modifyTargetIndices(t, i + 1, IndexNumberRange.toNDArrayIndex(from, max, false, 1, max) :: acc)
-        case (inr: IndexNumberRange) :: t =>
-          modifyTargetIndices(t, i + 1, inr.asNDArrayIndex(originalShape(i).toInt) :: acc)
-
-        case Nil =>
-          acc.reverse
-      }
-
-    val modifiedTarget = modifyTargetIndices(originalTarget.toList, 0, Nil)
-    log.trace(s"${target.mkString("[", ",", "]")} means $modifiedTarget at ${originalShape
-      .mkString("[", "x", s"]${underlying.ordering}")} matrix with stride:${underlying.stride
-      .mkString(",")}.")
-    modifiedTarget
-  }
-
-  def update[T, T1](indices: Array[IndexRange], num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, indices, num)
-  def update[T, T1](i1: IndexRange, num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1), num)
-  def update[T, T1](i1: IndexRange, i2: IndexRange, num: T)(implicit ev: NDArrayEvidence[A, T1],
-                                                            ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2), num)
-  def update[T, T1](i1: IndexRange, i2: IndexRange, i3: IndexRange, num: T)(implicit ev: NDArrayEvidence[A, T1],
-                                                                            ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3), num)
-  def update[T, T1](i1: IndexRange, i2: IndexRange, i3: IndexRange, i4: IndexRange, num: T)(
-      implicit ev: NDArrayEvidence[A, T1],
-      ev2: T => T1
-  ): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4), num)
-  def update[T, T1](i1: IndexRange, i2: IndexRange, i3: IndexRange, i4: IndexRange, i5: IndexRange, num: T)(
-      implicit ev: NDArrayEvidence[A, T1],
-      ev2: T => T1
-  ): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    i7: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    i7: IndexRange,
-                    i8: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    i7: IndexRange,
-                    i8: IndexRange,
-                    i9: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    i7: IndexRange,
-                    i8: IndexRange,
-                    i9: IndexRange,
-                    i10: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9, i10), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    i7: IndexRange,
-                    i8: IndexRange,
-                    i9: IndexRange,
-                    i10: IndexRange,
-                    i11: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9, i10, i11), num)
-  def update[T, T1](i1: IndexRange,
-                    i2: IndexRange,
-                    i3: IndexRange,
-                    i4: IndexRange,
-                    i5: IndexRange,
-                    i6: IndexRange,
-                    i7: IndexRange,
-                    i8: IndexRange,
-                    i9: IndexRange,
-                    i10: IndexRange,
-                    i11: IndexRange,
-                    i12: IndexRange,
-                    num: T)(implicit ev: NDArrayEvidence[A, T1], ev2: T => T1): INDArray =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12), num)
-
-  def update(indices: Array[IndexRange], num: A)(implicit ev: NDArrayEvidence[A, _]): INDArray =
-    ev.update(underlying, indices, num)
-  def update(i1: IndexRange, num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1), num)
-  def update(i1: IndexRange, i2: IndexRange, num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2), num)
-  def update(i1: IndexRange, i2: IndexRange, i3: IndexRange, num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3), num)
-  def update(i1: IndexRange, i2: IndexRange, i3: IndexRange, i4: IndexRange, num: A)(
-      implicit ev: NDArrayEvidence[A, _]
-  ): A =
-    ev.update(underlying, Array(i1, i2, i3, i4), num)
-  def update(i1: IndexRange, i2: IndexRange, i3: IndexRange, i4: IndexRange, i5: IndexRange, num: A)(
-      implicit ev: NDArrayEvidence[A, _]
-  ): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5), num)
-  def update(i1: IndexRange, i2: IndexRange, i3: IndexRange, i4: IndexRange, i5: IndexRange, i6: IndexRange, num: A)(
-      implicit ev: NDArrayEvidence[A, _]
-  ): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6), num)
-  def update(i1: IndexRange,
-             i2: IndexRange,
-             i3: IndexRange,
-             i4: IndexRange,
-             i5: IndexRange,
-             i6: IndexRange,
-             i7: IndexRange,
-             num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7), num)
-  def update(i1: IndexRange,
-             i2: IndexRange,
-             i3: IndexRange,
-             i4: IndexRange,
-             i5: IndexRange,
-             i6: IndexRange,
-             i7: IndexRange,
-             i8: IndexRange,
-             num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8), num)
-  def update(i1: IndexRange,
-             i2: IndexRange,
-             i3: IndexRange,
-             i4: IndexRange,
-             i5: IndexRange,
-             i6: IndexRange,
-             i7: IndexRange,
-             i8: IndexRange,
-             i9: IndexRange,
-             num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9), num)
-  def update(i1: IndexRange,
-             i2: IndexRange,
-             i3: IndexRange,
-             i4: IndexRange,
-             i5: IndexRange,
-             i6: IndexRange,
-             i7: IndexRange,
-             i8: IndexRange,
-             i9: IndexRange,
-             i10: IndexRange,
-             num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9, i10), num)
-  def update(i1: IndexRange,
-             i2: IndexRange,
-             i3: IndexRange,
-             i4: IndexRange,
-             i5: IndexRange,
-             i6: IndexRange,
-             i7: IndexRange,
-             i8: IndexRange,
-             i9: IndexRange,
-             i10: IndexRange,
-             i11: IndexRange,
-             num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9, i10, i11), num)
-  def update(i1: IndexRange,
-             i2: IndexRange,
-             i3: IndexRange,
-             i4: IndexRange,
-             i5: IndexRange,
-             i6: IndexRange,
-             i7: IndexRange,
-             i8: IndexRange,
-             i9: IndexRange,
-             i10: IndexRange,
-             i11: IndexRange,
-             i12: IndexRange,
-             num: A)(implicit ev: NDArrayEvidence[A, _]): A =
-    ev.update(underlying, Array(i1, i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12), num)
-}
-case class SubMatrixIndices(indices: List[Int], targetShape: Array[Int])
diff --git a/nd4s/src/main/scala/org/nd4s/ops/BitFilterOps.scala b/nd4s/src/main/scala/org/nd4s/ops/BitFilterOps.scala
deleted file mode 100644
index 84dc2ea18..000000000
--- a/nd4s/src/main/scala/org/nd4s/ops/BitFilterOps.scala
+++ /dev/null
@@ -1,65 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s.ops
-
-import org.nd4j.autodiff.samediff.SDVariable
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.api.ops.BaseScalarOp
-import org.nd4s.Implicits._
-
-object BitFilterOps {
-  def apply(x: INDArray, f: Double => Boolean): BitFilterOps =
-    new BitFilterOps(x, x.length().toInt, f)
-}
-
-class BitFilterOps(_x: INDArray, len: Int, f: Double => Boolean)
-    extends BaseScalarOp(_x, null: INDArray, _x, 0)
-    with LeftAssociativeBinaryOp {
-
-  def this() {
-    this(0.toScalar, 0, null)
-  }
-
-  x = _x
-
-  override def opNum(): Int = -1
-
-  override def opName(): String = "bitfilter_scalar"
-
-  override def onnxName(): String = throw new UnsupportedOperationException
-
-  override def tensorflowName(): String =
-    throw new UnsupportedOperationException
-
-  override def doDiff(f1: java.util.List[SDVariable]): java.util.List[SDVariable] =
-    throw new UnsupportedOperationException
-
-//  override def opForDimension(index: Int, dimension: Int): Op = BitFilterOps(x.tensorAlongDimension(index,dimension),f,g)
-//
-//  override def opForDimension(index: Int, dimension: Int*): Op = BitFilterOps(x.tensorAlongDimension(index,dimension:_*),f,g)
-
-  override def op(origin: Double): Double = if (f(origin)) 1 else 0
-
-  override def op(origin: Float): Float = if (f(origin)) 1 else 0
-
-  override def op(origin: Short): Short = if (f(origin)) 1 else 0
-
-  override def op(origin: Int): Int = if (f(origin)) 1 else 0
-
-  override def op(origin: Long): Long = if (f(origin)) 1 else 0
-
-  override def op(origin: String): String = ???
-}
diff --git a/nd4s/src/main/scala/org/nd4s/ops/FilterOps.scala b/nd4s/src/main/scala/org/nd4s/ops/FilterOps.scala
deleted file mode 100644
index ff315c6a2..000000000
--- a/nd4s/src/main/scala/org/nd4s/ops/FilterOps.scala
+++ /dev/null
@@ -1,65 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s.ops
-
-import org.nd4j.autodiff.samediff.SDVariable
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.api.ops.BaseScalarOp
-import org.nd4s.Implicits._
-
-object FilterOps {
-  def apply(x: INDArray, f: Double => Boolean): FilterOps =
-    new FilterOps(x, x.length().toInt, f)
-}
-class FilterOps(_x: INDArray, len: Int, f: Double => Boolean)
-    extends BaseScalarOp(_x, null: INDArray, _x, 0)
-    with LeftAssociativeBinaryOp {
-
-  def this() {
-    this(0.toScalar, 0, null)
-  }
-
-  x = _x
-
-  override def opNum(): Int = -1
-
-  override def opName(): String = "filter_scalar"
-
-  override def onnxName(): String = throw new UnsupportedOperationException
-
-  override def tensorflowName(): String =
-    throw new UnsupportedOperationException
-
-  override def doDiff(f1: java.util.List[SDVariable]): java.util.List[SDVariable] =
-    throw new UnsupportedOperationException
-
-//  override def opForDimension(index: Int, dimension: Int): Op = FilterOps(x.tensorAlongDimension(index,dimension),f,g)
-//
-//  override def opForDimension(index: Int, dimension: Int*): Op = FilterOps(x.tensorAlongDimension(index,dimension:_*),f,g)
-
-  override def op(origin: Double): Double = if (f(origin)) origin else 0
-
-  override def op(origin: Float): Float = if (f(origin)) origin else 0
-
-  override def op(origin: Short): Short = if (f(origin)) origin else 0
-
-  override def op(origin: Int): Int = if (f(origin)) origin else 0
-
-  override def op(origin: Long): Long = if (f(origin)) origin else 0
-
-  override def op(origin: String): String = ???
-
-}
diff --git a/nd4s/src/main/scala/org/nd4s/ops/FunctionalOpExecutioner.scala b/nd4s/src/main/scala/org/nd4s/ops/FunctionalOpExecutioner.scala
deleted file mode 100644
index 2d6d75fe0..000000000
--- a/nd4s/src/main/scala/org/nd4s/ops/FunctionalOpExecutioner.scala
+++ /dev/null
@@ -1,523 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-  ******************************************************************************/
-package org.nd4s.ops
-
-import java.util.{ List, Map, Properties }
-
-import org.bytedeco.javacpp.Pointer
-import org.nd4j.linalg.api.buffer.{ DataBuffer, DataType }
-import org.nd4j.linalg.api.environment.Nd4jEnvironment
-import org.nd4j.linalg.api.ndarray.{ INDArray, INDArrayStatistics }
-import org.nd4j.linalg.api.ops.aggregates.{ Aggregate, Batch }
-import org.nd4j.linalg.api.ops._
-import org.nd4j.linalg.api.ops.executioner.OpExecutioner
-import org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
-import org.nd4j.linalg.api.ops.impl.summarystats.Variance
-import org.nd4j.linalg.api.rng.Random
-import org.nd4j.linalg.api.shape.{ LongShapeDescriptor, TadPack }
-import org.nd4j.linalg.cache.TADManager
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4j.linalg.profiler.ProfilerConfig
-import org.slf4j.{ Logger, LoggerFactory }
-
-object FunctionalOpExecutioner {
-  def apply: FunctionalOpExecutioner = new FunctionalOpExecutioner()
-}
-class FunctionalOpExecutioner extends OpExecutioner {
-
-  def log: Logger = LoggerFactory.getLogger(FunctionalOpExecutioner.getClass)
-
-  private[this] var verboseEnabled: Boolean = false
-
-  def isVerbose: Boolean = verboseEnabled
-
-  def enableVerboseMode(reallyEnable: Boolean): Unit =
-    verboseEnabled = reallyEnable
-
-  /**
-    * This method returns true if debug mode is enabled, false otherwise
-    *
-    * @return
-    */
-  private[this] var debugEnabled: Boolean = false
-
-  def isDebug: Boolean = debugEnabled
-
-  def enableDebugMode(reallyEnable: Boolean): Unit =
-    debugEnabled = reallyEnable
-
-  /**
-    * This method returns type for this executioner instance
-    *
-    * @return
-    */
-  def `type`: OpExecutioner.ExecutionerType = ???
-
-  /**
-    * This method returns opName of the last invoked op
-    *
-    * @return
-    */
-  def getLastOp: String = ???
-
-  /**
-    * Execute the operation
-    *
-    * @param op the operation to execute
-    */
-  def exec(op: Op): INDArray =
-    op match {
-      case op: FilterOps    => exec(op.asInstanceOf[FilterOps])
-      case op: BitFilterOps => exec(op.asInstanceOf[BitFilterOps])
-      case op: MapOps       => exec(op.asInstanceOf[MapOps])
-      case _                => op.z()
-    }
-
-  def exec(op: Op, context: OpContext): INDArray =
-    Nd4j.getExecutioner.exec(op, context)
-
-  def exec(op: FilterOps): INDArray = {
-    val retVal: INDArray = Nd4j.create(op.x.dataType(), op.x.shape().map(_.toLong): _*)
-    for (i <- 0 until op.x().length().toInt) {
-      val filtered = op.x.dataType() match {
-        case DataType.DOUBLE => op.op(op.x.getDouble(i.toLong))
-        case DataType.FLOAT  => op.op(op.x.getFloat(i.toLong))
-        case DataType.INT    => op.op(op.x.getInt(i))
-        case DataType.SHORT  => op.op(op.x.getInt(i))
-        case DataType.LONG   => op.op(op.x.getLong(i.toLong))
-      }
-      retVal.putScalar(i, filtered)
-    }
-    retVal
-  }
-
-  def exec(op: BitFilterOps): INDArray = {
-    val retVal: INDArray = Nd4j.create(op.x.dataType(), op.x.shape().map(_.toLong): _*)
-    for (i <- 0 until op.x().length().toInt) {
-      val current = if (op.x.dataType() == DataType.DOUBLE) op.x().getDouble(i.toLong) else op.x().getInt(i)
-      val filtered = op.op(current)
-
-      retVal.putScalar(i, filtered)
-    }
-    retVal
-  }
-
-  def exec(op: MapOps): INDArray = {
-    val retVal: INDArray = Nd4j.create(op.x.dataType(), op.x.shape().map(_.toLong): _*)
-    for (i <- 0 until op.x().length().toInt) {
-      val current = if (op.x.dataType() == DataType.DOUBLE) op.x().getDouble(i.toLong) else op.x().getInt(i)
-      val filtered = op.op(current)
-
-      retVal.putScalar(i, filtered)
-    }
-    retVal
-  }
-
-  /** Execute a TransformOp and return the result
-    *
-    * @param op the operation to execute
-    */
-  def execAndReturn(op: TransformOp): TransformOp =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  /**
-    * Execute and return the result from an accumulation
-    *
-    * @param op the operation to execute
-    * @return the accumulated result
-    */
-  def execAndReturn(op: ReduceOp): ReduceOp =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  def execAndReturn(op: Variance): Variance =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  /** Execute and return the result from an index accumulation
-    *
-    * @param op the index accumulation operation to execute
-    * @return the accumulated index
-    */
-  def execAndReturn(op: IndexAccumulation): IndexAccumulation =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  /** Execute and return the result from a scalar op
-    *
-    * @param op the operation to execute
-    * @return the accumulated result
-    */
-  def execAndReturn(op: ScalarOp): ScalarOp =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  /** Execute and return the result from a vector op
-    *
-    * @param op */
-  def execAndReturn(op: BroadcastOp): BroadcastOp =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  /**
-    * Execute a reduceOp, possibly along one or more dimensions
-    *
-    * @param reduceOp the reduceOp
-    * @return the reduceOp op
-    */
-  def exec(reduceOp: ReduceOp): INDArray =
-    Nd4j.getExecutioner.exec(reduceOp)
-
-  /**
-    * Execute a broadcast op, possibly along one or more dimensions
-    *
-    * @param broadcast the accumulation
-    * @return the broadcast op
-    */
-  def exec(broadcast: BroadcastOp): INDArray =
-    Nd4j.getExecutioner.exec(broadcast)
-
-  /**
-    * Execute ScalarOp
-    *
-    * @param broadcast
-    * @return
-    */
-  def exec(broadcast: ScalarOp): INDArray =
-    Nd4j.exec(broadcast)
-
-  /**
-    * Execute an variance accumulation op, possibly along one or more dimensions
-    *
-    * @param accumulation the accumulation
-    * @return the accmulation op
-    */
-  def exec(accumulation: Variance): INDArray =
-    Nd4j.getExecutioner.exec(accumulation)
-
-  /** Execute an index accumulation along one or more dimensions
-    *
-    * @param indexAccum the index accumulation operation
-    * @return result
-    */
-  def exec(indexAccum: IndexAccumulation): INDArray =
-    Nd4j.getExecutioner.exec(indexAccum)
-
-  /**
-    *
-    * Execute and return  a result
-    * ndarray from the given op
-    *
-    * @param op the operation to execute
-    * @return the result from the operation
-    */
-  def execAndReturn(op: Op): Op =
-    Nd4j.getExecutioner.execAndReturn(op)
-
-  /**
-    * Execute MetaOp
-    *
-    * @param op
-    */
-  def exec(op: MetaOp): Unit =
-    Nd4j.getExecutioner.exec(op)
-
-  /**
-    * Execute GridOp
-    *
-    * @param op
-    */
-  def exec(op: GridOp): Unit =
-    Nd4j.getExecutioner.exec(op)
-
-  /**
-    *
-    * @param op
-    */
-  def exec(op: Aggregate): Unit =
-    Nd4j.getExecutioner.exec(op)
-
-  /**
-    * This method executes previously built batch
-    *
-    * @param batch
-    */
-  def exec[T <: Aggregate](batch: Batch[T]): Unit =
-    Nd4j.getExecutioner.exec(batch)
-
-  /**
-    * This method takes arbitrary sized list of aggregates,
-    * and packs them into batches
-    *
-    * @param batch
-    */
-  def exec(batch: java.util.List[Aggregate]): Unit =
-    Nd4j.getExecutioner.exec(batch)
-
-  /**
-    * This method executes specified RandomOp using default RNG available via Nd4j.getRandom()
-    *
-    * @param op
-    */
-  def exec(op: RandomOp): INDArray =
-    Nd4j.getExecutioner.exec(op)
-
-  /**
-    * This method executes specific RandomOp against specified RNG
-    *
-    * @param op
-    * @param rng
-    */
-  def exec(op: RandomOp, rng: Random): INDArray =
-    Nd4j.getExecutioner.exec(op, rng)
-
-  /**
-    * This method return set of key/value and
-    * key/key/value objects,
-    * describing current environment
-    *
-    * @return
-    */
-  def getEnvironmentInformation: Properties =
-    Nd4j.getExecutioner.getEnvironmentInformation
-
-  /**
-    * This method specifies desired profiling mode
-    *
-    * @param mode
-    */
-  @deprecated def setProfilingMode(mode: OpExecutioner.ProfilingMode): Unit = ???
-
-  /**
-    * This method stores specified configuration.
-    *
-    * @param config
-    */
-  def setProfilingConfig(config: ProfilerConfig): Unit =
-    Nd4j.getExecutioner.setProfilingConfig(config)
-
-  /**
-    * Ths method returns current profiling
-    *
-    * @return
-    */
-  @deprecated def getProfilingMode: OpExecutioner.ProfilingMode = ???
-
-  /**
-    * This method returns TADManager instance used for this OpExecutioner
-    *
-    * @return
-    */
-  def getTADManager: TADManager =
-    Nd4j.getExecutioner.getTADManager
-
-  /**
-    * This method prints out environmental information returned by getEnvironmentInformation() method
-    */
-  def printEnvironmentInformation(): Unit =
-    Nd4j.getExecutioner.printEnvironmentInformation()
-
-  /**
-    * This method ensures all operations that supposed to be executed at this moment, are executed.
-    */
-  def push(): Unit = ???
-
-  /**
-    * This method ensures all operations that supposed to be executed at this moment, are executed and finished.
-    */
-  def commit(): Unit = ???
-
-  /**
-    * This method encodes array as thresholds, updating input array at the same time
-    *
-    * @param input
-    * @return encoded array is returned
-    */
-  def thresholdEncode(input: INDArray, threshold: Double): INDArray = ???
-
-  def thresholdEncode(input: INDArray, threshold: Double, boundary: Integer): INDArray = ???
-
-  /**
-    * This method decodes thresholds array, and puts it into target array
-    *
-    * @param encoded
-    * @param target
-    * @return target is returned
-    */
-  def thresholdDecode(encoded: INDArray, target: INDArray): INDArray = ???
-
-  /**
-    * This method returns number of elements affected by encoder
-    *
-    * @param indArray
-    * @param target
-    * @param threshold
-    * @return
-    */
-  def bitmapEncode(indArray: INDArray, target: INDArray, threshold: Double): Long = ???
-
-  /**
-    *
-    * @param indArray
-    * @param threshold
-    * @return
-    */
-  def bitmapEncode(indArray: INDArray, threshold: Double): INDArray = ???
-
-  /**
-    *
-    * @param encoded
-    * @param target
-    * @return
-    */
-  def bitmapDecode(encoded: INDArray, target: INDArray): INDArray = ???
-
-  /**
-    * This method returns names of all custom operations available in current backend, and their number of input/output arguments
-    *
-    * @return
-    */
-  def getCustomOperations: java.util.Map[String, CustomOpDescriptor] = ???
-
-  /**
-    * This method executes given CustomOp
-    *
-    * PLEASE NOTE: You're responsible for input/output validation
-    *
-    * @param op
-    */
-  def execAndReturn(op: CustomOp): CustomOp = ???
-
-  def exec(op: CustomOp): Array[INDArray] = ???
-
-  /**
-    * This method executes op with given context
-    *
-    * @param op
-    * @param context
-    * @return method returns output arrays defined within context
-    */
-  def exec(op: CustomOp, context: OpContext): Array[INDArray] =
-    Nd4j.getExecutioner.exec(op, context)
-
-  def calculateOutputShape(op: CustomOp): java.util.List[LongShapeDescriptor] =
-    Nd4j.getExecutioner.calculateOutputShape(op)
-
-  def calculateOutputShape(op: CustomOp, ctx: OpContext): java.util.List[LongShapeDescriptor] =
-    Nd4j.getExecutioner.calculateOutputShape(op, ctx)
-
-  /**
-    * Equivalent to calli
-    */
-  def allocateOutputArrays(op: CustomOp): Array[INDArray] =
-    Nd4j.getExecutioner.allocateOutputArrays(op)
-
-  def isExperimentalMode: Boolean = true
-
-  def registerGraph(id: Long, graph: Pointer): Unit = ???
-
-  def executeGraph(id: Long,
-                   map: java.util.Map[String, INDArray],
-                   reverseMap: java.util.Map[String, Integer]): java.util.Map[String, INDArray] = ???
-
-  def forgetGraph(id: Long): Unit = ???
-
-  /**
-    * This method allows to set desired number of elements per thread, for performance optimization purposes.
-    * I.e. if array contains 2048 elements, and threshold is set to 1024, 2 threads will be used for given op execution.
-    *
-    * Default value: 1024
-    *
-    * @param threshold
-    */
-  def setElementsThreshold(threshold: Int): Unit = ???
-
-  /**
-    * This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
-    * I.e. if matrix has shape of 64 x 128, and threshold is set to 8, each thread will be processing 8 sub-arrays (sure, if you have 8 core cpu).
-    * If your cpu has, say, 4, cores, only 4 threads will be spawned, and each will process 16 sub-arrays
-    *
-    * Default value: 8
-    *
-    * @param threshold
-    */
-  def setTadThreshold(threshold: Int): Unit = ???
-
-  /**
-    * This method extracts String from Utf8Buffer
-    *
-    * @param buffer
-    * @param index
-    * @return
-    */
-  def getString(buffer: DataBuffer, index: Long): String = ???
-
-  /**
-    * This method returns OpContext which can be used (and reused) to execute custom ops
-    *
-    * @return
-    */
-  def buildContext: OpContext = ???
-
-  /**
-    *
-    * @param array
-    */
-  def inspectArray(array: INDArray): INDArrayStatistics = ???
-
-  /**
-    * This method returns shapeInfo DataBuffer
-    *
-    * @param shape
-    * @param stride
-    * @param elementWiseStride
-    * @param order
-    * @param dtype
-    * @return
-    */
-  def createShapeInfo(shape: Array[Long],
-                      stride: Array[Long],
-                      elementWiseStride: Long,
-                      order: Char,
-                      dtype: DataType,
-                      empty: Boolean): DataBuffer = ???
-
-  /**
-    * This method returns host/device tad buffers
-    */
-  def tadShapeInfoAndOffsets(array: INDArray, dimension: Array[Int]): TadPack = ???
-
-  /**
-    * This method returns constant buffer for the given jvm array
-    *
-    * @param values
-    * @return
-    */
-  def createConstantBuffer(values: Array[Long], desiredType: DataType): DataBuffer = ???
-
-  def createConstantBuffer(values: Array[Int], desiredType: DataType): DataBuffer = ???
-
-  def createConstantBuffer(values: Array[Float], desiredType: DataType): DataBuffer = ???
-
-  def createConstantBuffer(values: Array[Double], desiredType: DataType): DataBuffer = ???
-
-  def runFullBenchmarkSuit(x: Boolean): String =
-    Nd4j.getExecutioner.runFullBenchmarkSuit(x)
-
-  def runLightBenchmarkSuit(x: Boolean): String =
-    Nd4j.getExecutioner.runLightBenchmarkSuit(x)
-
-  @deprecated def scatterUpdate(op: ScatterUpdate.UpdateOp,
-                                array: INDArray,
-                                indices: INDArray,
-                                updates: INDArray,
-                                axis: Array[Int]): Unit = ???
-}
diff --git a/nd4s/src/main/scala/org/nd4s/ops/LeftAssociativeBinaryOp.scala b/nd4s/src/main/scala/org/nd4s/ops/LeftAssociativeBinaryOp.scala
deleted file mode 100644
index bab173f4f..000000000
--- a/nd4s/src/main/scala/org/nd4s/ops/LeftAssociativeBinaryOp.scala
+++ /dev/null
@@ -1,46 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s.ops
-
-import org.nd4s.Implicits._
-
-trait LeftAssociativeBinaryOp {
-
-//  def op(origin: IComplexNumber, other: Double): IComplexNumber = op(origin)
-//
-//  def op(origin: IComplexNumber, other: Float): IComplexNumber = op(origin)
-//
-//  def op(origin: IComplexNumber, other: IComplexNumber): IComplexNumber =
-//    op(origin)
-
-  def op(origin: Float, other: Float): Float = op(origin)
-
-  def op(origin: Double, other: Double): Double = op(origin)
-
-  def op(origin: Double): Double
-
-  def op(origin: Float): Float
-
-  def op(origin: Short): Short
-
-  def op(origin: Int): Int
-
-  def op(origin: Long): Long
-
-  def op(origin: String): String
-
-//  def op(origin: IComplexNumber): IComplexNumber
-}
diff --git a/nd4s/src/main/scala/org/nd4s/ops/MapOps.scala b/nd4s/src/main/scala/org/nd4s/ops/MapOps.scala
deleted file mode 100644
index 98a9d73b4..000000000
--- a/nd4s/src/main/scala/org/nd4s/ops/MapOps.scala
+++ /dev/null
@@ -1,59 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s.ops
-
-import org.nd4j.autodiff.samediff.SDVariable
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.api.ops.BaseScalarOp
-import org.nd4s.Implicits._
-
-object MapOps {
-  def apply(x: INDArray, f: Double => Double): MapOps = new MapOps(x, f)
-}
-class MapOps(_x: INDArray, f: Double => Double) extends BaseScalarOp(_x, null, _x, 0) with LeftAssociativeBinaryOp {
-  x = _x
-  def this() {
-    this(0.toScalar, null)
-  }
-
-  override def opNum(): Int = -1
-
-  override def opName(): String = "map_scalar"
-
-  override def onnxName(): String = throw new UnsupportedOperationException
-
-  override def tensorflowName(): String =
-    throw new UnsupportedOperationException
-
-  override def doDiff(f1: java.util.List[SDVariable]): java.util.List[SDVariable] =
-    throw new UnsupportedOperationException
-
-//  override def opForDimension(index: Int, dimension: Int): Op = MapOps(x.tensorAlongDimension(index,dimension),f,g)
-//
-//  override def opForDimension(index: Int, dimension: Int*): Op = MapOps(x.tensorAlongDimension(index,dimension:_*),f,g)
-
-  override def op(origin: Double): Double = f(origin)
-
-  override def op(origin: Float): Float = f(origin).toFloat
-
-  override def op(origin: Short): Short = f(origin).toShort
-
-  override def op(origin: Int): Int = f(origin).toInt
-
-  override def op(origin: Long): Long = f(origin).toLong
-
-  override def op(origin: String): String = ???
-}
diff --git a/nd4s/src/main/scala/org/nd4s/samediff/SameDiff.scala b/nd4s/src/main/scala/org/nd4s/samediff/SameDiff.scala
deleted file mode 100644
index 79a185a68..000000000
--- a/nd4s/src/main/scala/org/nd4s/samediff/SameDiff.scala
+++ /dev/null
@@ -1,189 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2019 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-  ******************************************************************************/
-package org.nd4s.samediff
-
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.autodiff.samediff.{ SDIndex, SDVariable, SameDiff }
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.factory.Nd4j
-
-/**
-  * Provides wrappers for nd4j SameDiff and related classes.
-  *
-  * Wrappers are designed to be used implicitly, client code
-  * should be similar to nd4j with additional syntactic sugar
-  * and Scala specific stuff.
-  *
-  * @author Alexander Stoyakin
-  */
-class SameDiffWrapper {
-
-  var sd: SameDiff = SameDiff.create()
-
-  def this(sd: SameDiff) {
-    this
-    this.sd = sd
-  }
-
-  def bind(name: String, data: INDArray): SDVariable =
-    sd.`var`(name, data)
-
-  def bind(name: String, dataType: DataType, shape: Array[Long]): SDVariable =
-    sd.`var`(name, dataType, shape: _*)
-
-  def bind(data: INDArray): SDVariable =
-    sd.`var`("", data)
-
-  def bind(name: String, dataType: DataType, shape: Array[Int]): SDVariable =
-    sd.`var`(name, dataType, shape: _*)
-
-  def placeHolder(name: String, dataType: DataType, shape: Long*): SDVariable =
-    sd.placeHolder(name, dataType, shape: _*)
-}
-
-case class SDIndexWrapper(end: Long) {
-
-  def ::(start: Long): SDIndex =
-    SDIndex.interval(start, end)
-}
-
-case class SDIndexWrapper1(start: Int) {
-
-  def ::(end: Int): SDIndex =
-    SDIndex.interval(start.toLong, end.toLong)
-}
-
-object --- extends SDIndex {
-  val thisIndex: SDIndex = SDIndex.all()
-}
-
-class SDVariableWrapper {
-
-  var thisVariable: SDVariable = null
-  var isScalar: Boolean = false
-  val --- : SDIndex = SDIndex.all()
-
-  def this(variable: SDVariable) {
-    this
-    thisVariable = variable
-  }
-
-  // Indexing
-  def apply(index: Long): SDVariable = thisVariable.get(SDIndex.point(index))
-
-  def apply(index: SDIndex*): SDVariable = thisVariable.get(index: _*)
-
-  // Arithmetic
-  def add(other: Double): Unit = thisVariable.add(other)
-
-  def *(other: SDVariable): SDVariable =
-    thisVariable.mul(other)
-
-  def +(other: SDVariable): SDVariable =
-    thisVariable.add(other)
-
-  def /(other: SDVariable): SDVariable =
-    if (isScalar)
-      thisVariable.rdiv(other)
-    else
-      thisVariable.rdiv(other)
-
-  def -(other: SDVariable): SDVariable =
-    if (isScalar)
-      thisVariable.rsub(other)
-    else
-      thisVariable.sub(other)
-
-  def %(other: SDVariable): SDVariable = thisVariable.mod(null, other)
-
-  def `//`(other: SDVariable): SDVariable = thisVariable.fdiv(null, other)
-
-  def unary_-(): SDVariable = thisVariable.neg
-
-  def ^(other: SDVariable)(implicit sameDiff: SameDiff): SDVariable = sameDiff.math.xor(thisVariable, other)
-  def |(other: SDVariable)(implicit sameDiff: SameDiff): SDVariable = sameDiff.math.or(thisVariable, other)
-  def &(other: SDVariable)(implicit sameDiff: SameDiff): SDVariable = sameDiff.math.and(thisVariable, other)
-
-  def <<(other: SDVariable)(implicit sameDiff: SameDiff): SDVariable = sameDiff.math.bitShift(null, thisVariable, other)
-  def >>(other: SDVariable)(implicit sameDiff: SameDiff): SDVariable =
-    sameDiff.math.bitShiftRight(null, thisVariable, other)
-  def <<(x: Int)(implicit sameDiff: SameDiff): SDVariable =
-    sameDiff.math.bitShift(null, thisVariable, sameDiff.constant(x))
-  def >>(x: Int)(implicit sameDiff: SameDiff): SDVariable =
-    sameDiff.math.bitShiftRight(null, thisVariable, sameDiff.constant(x))
-
-  // Overloads for numeric arguments
-  // Float
-  def *(other: Float)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.mul(sameDiff.constant(other))
-
-  def +(other: Float)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.add(sameDiff.constant(other))
-
-  def -(other: Float)(implicit sameDiff: SameDiff): SDVariable =
-    if (isScalar)
-      thisVariable.rsub(sameDiff.constant(other))
-    else
-      thisVariable.sub(sameDiff.constant(other))
-
-  def /(other: Float)(implicit sameDiff: SameDiff): SDVariable =
-    if (isScalar)
-      thisVariable.rdiv(sameDiff.constant(other))
-    else
-      thisVariable.div(sameDiff.constant(other))
-
-  def %(other: Float)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.mod(null, sameDiff.constant(other))
-
-  def `//`(other: Float)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.fdiv(null, sameDiff.constant(other))
-
-  //Double
-  def *(other: Double)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.mul(sameDiff.constant(other))
-
-  def +(other: Double)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.add(sameDiff.constant(other))
-
-  def -(other: Double)(implicit sameDiff: SameDiff): SDVariable =
-    if (isScalar)
-      thisVariable.rsub(sameDiff.constant(other))
-    else
-      thisVariable.sub(sameDiff.constant(other))
-
-  def /(other: Double)(implicit sameDiff: SameDiff): SDVariable =
-    if (isScalar)
-      thisVariable.rdiv(sameDiff.constant(other))
-    else
-      thisVariable.div(sameDiff.constant(other))
-
-  def %(other: Double)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.mod(null, sameDiff.constant(other))
-
-  def `//`(other: Double)(implicit sameDiff: SameDiff): SDVariable =
-    thisVariable.fdiv(null, sameDiff.constant(other))
-
-  // Int
-  def **(x: Int): SDVariable =
-    thisVariable.pow(x)
-
-  def ^(other: Boolean)(implicit sameDiff: SameDiff): SDVariable =
-    sameDiff.math.xor(thisVariable, sameDiff.constant(Nd4j.scalar(other)))
-  def |(other: Boolean)(implicit sameDiff: SameDiff): SDVariable =
-    sameDiff.math.or(thisVariable, sameDiff.constant(Nd4j.scalar(other)))
-  def &(other: Boolean)(implicit sameDiff: SameDiff): SDVariable =
-    sameDiff.math.and(thisVariable, sameDiff.constant(Nd4j.scalar(other)))
-}
diff --git a/nd4s/src/main/scala/org/nd4s/samediff/implicits/Implicits.scala b/nd4s/src/main/scala/org/nd4s/samediff/implicits/Implicits.scala
deleted file mode 100644
index 1781d5b82..000000000
--- a/nd4s/src/main/scala/org/nd4s/samediff/implicits/Implicits.scala
+++ /dev/null
@@ -1,62 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2019 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-  ******************************************************************************/
-package org.nd4s.samediff.implicits
-
-import org.nd4j.autodiff.samediff.{ SDIndex, SDVariable, SameDiff }
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4s.samediff.{ SDIndexWrapper, SDVariableWrapper, SameDiffWrapper }
-
-object Implicits {
-  implicit def SameDiffToWrapper(sd: SameDiff): SameDiffWrapper =
-    new SameDiffWrapper(sd)
-
-  implicit def SDVariableToWrapper(variable: SDVariable): SDVariableWrapper =
-    new SDVariableWrapper(variable)
-
-  implicit def FloatToSDVariable(x: Float)(implicit sd: SameDiff): SDVariableWrapper = {
-    val result = new SDVariableWrapper(sd.constant(x))
-    result.isScalar = true
-    result
-  }
-
-  implicit def DoubleToSDVariable(x: Double)(implicit sd: SameDiff): SDVariableWrapper = {
-    val result = new SDVariableWrapper(sd.constant(x))
-    result.isScalar = true
-    result
-  }
-
-  implicit def BooleanToSDVariable(x: Boolean)(implicit sd: SameDiff): SDVariableWrapper = {
-    val result = new SDVariableWrapper(sd.constant(Nd4j.scalar(x)))
-    result.isScalar = true
-    result
-  }
-
-  implicit def RangeToWrapper(start: Long): SDIndexWrapper = {
-    val result = new SDIndexWrapper(start)
-    result
-  }
-
-  implicit def LongToPoint(x: Long): SDIndex =
-    SDIndex.point(x)
-
-  implicit def IntRangeToWrapper(start: Int): SDIndexWrapper = {
-    val result = new SDIndexWrapper(start)
-    result
-  }
-
-  implicit def IntToPoint(x: Int): SDIndex =
-    SDIndex.point(x)
-}
diff --git a/nd4s/src/test/scala/org/nd4s/BreezeCheck.scala b/nd4s/src/test/scala/org/nd4s/BreezeCheck.scala
deleted file mode 100644
index 36843a91c..000000000
--- a/nd4s/src/test/scala/org/nd4s/BreezeCheck.scala
+++ /dev/null
@@ -1,80 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import breeze.linalg._
-import monocle.Prism
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4s.Implicits._
-import org.scalacheck.{ Arbitrary, Gen, Prop }
-import org.scalatest.FlatSpec
-import org.scalatest.prop.Checkers
-
-/**
-  * Created by taisukeoe on 16/03/05.
-  */
-class BreezeCheck extends FlatSpec with Checkers {
-  it should "work the same as NDArray slicing" in {
-    check {
-      Prop.forAll { (ndArray: INDArray) =>
-        ndArray.setOrder('f')
-        val shape = ndArray.shape().map(_.toInt)
-        val Array(row, col) = shape
-        Prop.forAll(Gen.choose(0, row - 1), Gen.choose(0, row - 1), Gen.choose(0, col - 1), Gen.choose(0, col - 1)) {
-          (r1, r2, c1, c2) =>
-            val rowRange = if (r1 > r2) r2 to r1 else r1 to r2
-            val columnRange = if (c1 > c2) c2 to c1 else c1 to c2
-            val slicedByND4S = ndArray(rowRange, columnRange)
-            val slicedByBreeze = prism
-              .getOption(ndArray)
-              .map(dm => prism.reverseGet(dm(rowRange, columnRange)))
-            slicedByBreeze.exists(_.shape() sameElements slicedByND4S.castTo(DataType.DOUBLE).shape())
-        }
-      }
-
-    }
-  }
-
-  //This supports only real value since ND4J drops complex number support temporary.
-  lazy val prism = Prism[INDArray, DenseMatrix[Double]] { ndArray =>
-    //Breeze DenseMatrix doesn't support tensor nor C order matrix.
-    if (ndArray.rank() > 2 || ndArray.ordering() == 'c')
-      None
-    else {
-      val shape = ndArray.shape()
-      val linear = ndArray.reshape(-1)
-      val arr = (0 until ndArray.length().toInt).map(i => linear.getDouble(i.toLong)).toArray
-      Some(DenseMatrix(arr).reshape(shape(0).toInt, shape(1).toInt))
-    }
-  } { dm =>
-    val shape = Array(dm.rows, dm.cols)
-    dm.toArray.mkNDArray(shape, NDOrdering.Fortran)
-  }
-
-  implicit def arbNDArray: Arbitrary[INDArray] = Arbitrary {
-    for {
-      rows <- Gen.choose(1, 100)
-      columns <- Gen.choose(1, 100)
-    } yield {
-      val nd = Nd4j.rand(rows, columns)
-      nd.setOrder('f')
-      nd
-    }
-  }
-
-}
diff --git a/nd4s/src/test/scala/org/nd4s/DSLSpec.scala b/nd4s/src/test/scala/org/nd4s/DSLSpec.scala
deleted file mode 100644
index 41eddfac0..000000000
--- a/nd4s/src/test/scala/org/nd4s/DSLSpec.scala
+++ /dev/null
@@ -1,53 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.junit.runner.RunWith
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.factory.Nd4j
-import org.scalatest.junit.JUnitRunner
-import org.scalatest.{ FlatSpec, Matchers }
-import org.nd4s.Implicits._
-
-@RunWith(classOf[JUnitRunner])
-class DSLSpec extends FlatSpec with Matchers {
-
-  "DSL" should "wrap and extend an INDArray" in {
-
-    // This test just verifies that an INDArray gets wrapped with an implicit conversion
-
-    val nd = Nd4j.create(Array[Float](1, 2), Array(2, 1))
-    val nd1 = nd + 10L // + creates new array, += modifies in place
-
-    nd.get(0) should equal(1)
-    nd1.get(0) should equal(11)
-
-    val nd2 = nd += 100
-    nd2 should equal(nd)
-    nd2.get(0) should equal(101)
-
-    // Verify that we are working with regular old INDArray objects
-    nd2 match {
-      case i: INDArray => // do nothing
-      case _           => fail("Expect our object to be an INDArray")
-    }
-
-  }
-
-  "DSL" should "not prevent Map[Int,T] creation" in {
-    Map(0 -> "hello") shouldBe a[Map[_, _]]
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/NDArrayCollectionAPITest.scala b/nd4s/src/test/scala/org/nd4s/NDArrayCollectionAPITest.scala
deleted file mode 100644
index e250d990f..000000000
--- a/nd4s/src/test/scala/org/nd4s/NDArrayCollectionAPITest.scala
+++ /dev/null
@@ -1,204 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4s.Implicits._
-import org.nd4s.ops.FunctionalOpExecutioner
-import org.scalatest.{ FlatSpec, Matchers }
-
-class NDArrayCollectionAPITest extends FlatSpec with Matchers {
-  "CollectionLikeNDArray" should "provides filter API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    val filtered = ndArray.filter(_ > 3)
-
-    assert(
-      filtered ==
-        Array(
-          Array(0, 0, 0),
-          Array(4, 5, 6),
-          Array(7, 8, 9)
-        ).toNDArray
-    )
-  }
-
-  "CollectionLikeNDArray from Floats" should "provides filter API" in {
-    val ndArray =
-      Array(
-        Array(1f, 2f, 3f),
-        Array(4f, 5f, 6f),
-        Array(7f, 8f, 9f)
-      ).toNDArray
-
-    val filtered = ndArray.filter(_ > 3)
-
-    assert(
-      filtered ==
-        Array(
-          Array(0f, 0f, 0f),
-          Array(4f, 5f, 6f),
-          Array(7f, 8f, 9f)
-        ).toNDArray
-    )
-  }
-
-  "CollectionLikeNDArray from Long " should "provides filter API" in {
-    val ndArray =
-      Array(
-        Array(1L, 2L, 3L),
-        Array(4L, 5L, 6L),
-        Array(7L, 8L, 9L)
-      ).toNDArray
-
-    val filtered = ndArray.filter(_ > 3)
-
-    assert(
-      filtered ==
-        Array(
-          Array(0L, 0L, 0L),
-          Array(4L, 5L, 6L),
-          Array(7L, 8L, 9L)
-        ).toNDArray
-    )
-  }
-
-  it should "provides filter bitmask API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    val filterMasked = ndArray.filterBit(_ % 2 == 0)
-
-    assert(
-      filterMasked ==
-        Array(
-          Array(0, 1, 0),
-          Array(1, 0, 1),
-          Array(0, 1, 0)
-        ).toNDArray
-    )
-  }
-  it should "provides map API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    val mapped = ndArray.map(_ * 2 + 1)
-
-    assert(
-      mapped ==
-        Array(
-          Array(3, 5, 7),
-          Array(9, 11, 13),
-          Array(15, 17, 19)
-        ).toNDArray
-    )
-  }
-
-  it should "provides forall checker" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    //check if all elements in nd meet the criteria.
-    assert(ndArray > 0)
-    assert(ndArray.forall(_ > 0))
-    "ndArray.forallC(_.absoluteValue().doubleValue() > 0)" shouldNot typeCheck
-    assert(ndArray < 10)
-    assert(!(ndArray >= 5))
-  }
-
-  it should "provides exist API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    //check if any element in nd meet the criteria.
-    assert(ndArray.exists(_ > 8))
-  }
-
-  it should "provides existTyped API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    //check if any element in nd meet the criteria.
-    assert(ndArray.existsTyped[Int](_ > 8)(IntNDArrayEvidence))
-  }
-
-  "CollectionLikeNDArray" should "provides forAll API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    val resultFalse = ndArray.forall(_ > 3)
-    assert(false == resultFalse)
-
-    val resultTrue = ndArray.forall(_ < 10)
-    assert(true == resultTrue)
-  }
-
-  "CollectionLikeNDArray" should "provides forAllTyped API" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).toNDArray
-
-    val results = ndArray.forallTyped[Int](_ > 3)(IntNDArrayEvidence)
-    assert(false == results)
-  }
-
-  "FunctionalOpExecutioner" should "allow debug and verbose" in {
-    val executioner = new FunctionalOpExecutioner
-    executioner.enableDebugMode(true)
-    executioner.enableVerboseMode(true)
-
-    assert(executioner.isDebug)
-    assert(executioner.isVerbose)
-  }
-
-  "FunctionalOpExecutioner" should "provide access to environment information" in {
-    FunctionalOpExecutioner.apply.printEnvironmentInformation()
-    val environment = FunctionalOpExecutioner.apply.getEnvironmentInformation
-    assert(environment != null)
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/NDArrayConstructionTest.scala b/nd4s/src/test/scala/org/nd4s/NDArrayConstructionTest.scala
deleted file mode 100644
index e3d415e08..000000000
--- a/nd4s/src/test/scala/org/nd4s/NDArrayConstructionTest.scala
+++ /dev/null
@@ -1,121 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2019 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-  ******************************************************************************/
-package org.nd4s
-
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4s.Implicits._
-import org.scalatest.FlatSpec
-
-class NDArrayConstructionTest extends FlatSpec with COrderingForTest {
-  self: OrderingForTest =>
-
-  it should "be able to create 2d matrix filled with integers" in {
-    val ndArray =
-      Array(
-        Array(1, 2),
-        Array(4, 5),
-        Array(7, 9)
-      ).mkNDArray(ordering)
-
-    assert(DataType.INT == ndArray.dataType())
-    assert(3 == ndArray.rows())
-    assert(2 == ndArray.columns())
-  }
-
-  it should "be able to create 2d matrix filled with long integers" in {
-    val ndArray =
-      Array(
-        Array(1L, 2L, 3L),
-        Array(4L, 5L, 6L),
-        Array(7L, 8L, 9L)
-      ).mkNDArray(ordering)
-
-    assert(DataType.LONG == ndArray.dataType())
-    assert(3 == ndArray.rows())
-    assert(3 == ndArray.columns())
-  }
-
-  it should "be able to create 2d matrix filled with float numbers" in {
-    val ndArray =
-      Array(
-        Array(1f, 2f, 3f),
-        Array(4f, 5f, 6f),
-        Array(7f, 8f, 9f)
-      ).mkNDArray(ordering)
-
-    assert(DataType.FLOAT == ndArray.dataType())
-    assert(3 == ndArray.rows())
-    assert(3 == ndArray.columns())
-  }
-
-  it should "be able to create 2d matrix filled with double numbers" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).mkNDArray(ordering)
-
-    assert(DataType.DOUBLE == ndArray.dataType())
-    assert(3 == ndArray.rows())
-    assert(3 == ndArray.columns())
-  }
-
-  it should "be able to create vector filled with short integers" in {
-    val ndArray = Array[Short](1, 2, 3).toNDArray
-
-    assert(DataType.SHORT == ndArray.dataType())
-    assert(1 == ndArray.rows())
-    assert(3 == ndArray.columns())
-  }
-
-  it should "be able to create vector filled with byte values" in {
-    val ndArray = Array[Byte](1, 2, 3).toNDArray
-
-    assert(DataType.BYTE == ndArray.dataType())
-    assert(1 == ndArray.rows())
-    assert(3 == ndArray.columns())
-  }
-
-  it should "be able to create vector filled with boolean values" in {
-    val ndArray = Array(true, false, true).toNDArray
-
-    assert(DataType.BOOL == ndArray.dataType())
-    assert(1 == ndArray.rows())
-    assert(3 == ndArray.columns())
-  }
-
-  it should "be able to create vector from integer range" in {
-    val list = (0 to 9).toNDArray
-    assert(DataType.INT == list.dataType())
-
-    val stepped = list(1 -> 7 by 2)
-    assert(Array(1, 3, 5).toNDArray == stepped)
-    assert(DataType.INT == list.dataType())
-  }
-
-  it should "be able to create vector from strings" in {
-    val oneString = "testme".toScalar
-    assert("testme" == oneString.getString(0))
-    assert(DataType.UTF8 == oneString.dataType())
-
-    val someStrings = Array[String]("one", "two", "three").toNDArray
-    assert("one" == someStrings.getString(0))
-    assert("two" == someStrings.getString(1))
-    assert("three" == someStrings.getString(2))
-    assert(DataType.UTF8 == someStrings.dataType())
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/NDArrayExtractionTest.scala b/nd4s/src/test/scala/org/nd4s/NDArrayExtractionTest.scala
deleted file mode 100644
index 65a2bddf2..000000000
--- a/nd4s/src/test/scala/org/nd4s/NDArrayExtractionTest.scala
+++ /dev/null
@@ -1,325 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4s.Implicits._
-import org.scalatest.FlatSpec
-
-class NDArrayExtractionInCOrderingTest extends NDArrayExtractionTestBase with COrderingForTest
-class NDArrayExtractionInFortranOrderingTest extends NDArrayExtractionTestBase with FortranOrderingForTest
-
-trait NDArrayExtractionTestBase extends FlatSpec { self: OrderingForTest =>
-
-  "org.nd4j.api.Implicits.RichNDArray" should "be able to extract a value in specified indices" in {
-    val ndArray = Array(
-      Array(1, 2),
-      Array(3, 4)
-    ).mkNDArray(ordering)
-  }
-
-  it should "be able to extract a part of 2d matrix" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-
-    val extracted = ndArray(1 -> 3, 0 -> 2)
-
-    val expected =
-      Array(
-        Array(4, 5),
-        Array(7, 8)
-      ).mkNDArray(ordering)
-    assert(extracted == expected)
-  }
-
-  it should "be able to extract a part of 2d matrix with alternative syntax" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-
-    val extracted = ndArray(1 :: 3, 0 :: 2)
-
-    val expected =
-      Array(
-        Array(4, 5),
-        Array(7, 8)
-      ).mkNDArray(ordering)
-    assert(extracted == expected)
-  }
-
-  it should "be able to extract a part of 2d matrix with mixed syntax" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-
-    val extracted = ndArray(1 -> 3, 0 :: 2)
-
-    val expected =
-      Array(
-        Array(4, 5),
-        Array(7, 8)
-      ).mkNDArray(ordering)
-    assert(extracted == expected)
-  }
-
-  it should "be able to extract a part of 2d matrix with double data" in {
-    val ndArray = (5 to 8).map(_.toDouble).mkNDArray(Array(2, 2), NDOrdering.C)
-
-    val expectedArray = Array(
-      Array(5d, 6d),
-      Array(7d, 8d)
-    ).mkNDArray(ordering)
-    assert(ndArray == expectedArray)
-
-    val expectedSlice = Array(
-      Array(5d),
-      Array(7d)
-    ).toNDArray
-    assert(expectedArray(->, 0 -> 1) == expectedSlice)
-  }
-
-  it should "be able to extract a part of 2d matrix with integer data" in {
-    val ndArray = (1 to 9).mkNDArray(Array(2, 2))
-
-    val expectedArray = Array(
-      Array(1, 2),
-      Array(3, 4)
-    ).mkNDArray(ordering)
-    assert(ndArray == expectedArray)
-
-    val expectedSlice = Array(
-      Array(1),
-      Array(3)
-    ).toNDArray
-    val actualSlice = expectedArray(->, 0 -> 1)
-    assert(actualSlice == expectedSlice)
-  }
-
-  it should " provide overloaded -> operator providing matrix slices as nd4j" in {
-
-    val expectedArray = (1 to 9).mkNDArray(Array(2, 2))
-    val expectedSlice = expectedArray.slice(0)
-    val actualSlice = expectedArray(0, ->)
-
-//    Console.println(expectedSlice)
-
-    assert(actualSlice == expectedSlice)
-  }
-
-  it should "be able to extract a part of vertically long matrix in" in {
-    val ndArray =
-      Array(
-        Array(1, 2),
-        Array(3, 4),
-        Array(5, 6),
-        Array(7, 8)
-      ).mkNDArray(ordering)
-
-    assert(
-      ndArray(0 -> 2, ->) ==
-        Array(
-          Array(1, 2),
-          Array(3, 4)
-        ).mkNDArray(ordering)
-    )
-
-    assert(
-      ndArray(2 -> 4, ->) ==
-        Array(
-          Array(5, 6),
-          Array(7, 8)
-        ).mkNDArray(ordering)
-    )
-  }
-
-  it should "be able to extract a part of horizontally long matrix" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3, 4),
-        Array(5, 6, 7, 8)
-      ).mkNDArray(ordering)
-
-    assert(
-      ndArray(->, 0 -> 2) ==
-        Array(
-          Array(1, 2),
-          Array(5, 6)
-        ).mkNDArray(ordering)
-    )
-
-    assert(
-      ndArray(->, 2 -> 4) ==
-        Array(
-          Array(3, 4),
-          Array(7, 8)
-        ).mkNDArray(ordering)
-    )
-  }
-
-  it should "be able to extract a part of 3d matrix" in {
-    val ndArray = (1 to 8).mkNDArray(Array(2, 2, 2), ordering)
-
-    val extracted = ndArray(0, ->, ->)
-    val expected = ndArray.slice(0)
-    assert(extracted == expected)
-  }
-
-  it should "return original NDArray if indexRange is all in 2d matrix" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-    val extracted = ndArray(->, ->)
-    assert(ndArray == extracted)
-
-    val ellipsised = ndArray(--->)
-    assert(ellipsised == ndArray)
-  }
-
-  it should "return original NDArray if indexRange is all in 3d matrix" in {
-    val ndArray = (1f to 8f by 1).mkNDArray(Array(2, 2, 2), ordering)
-    val extracted = ndArray(->, ->, ->)
-    assert(ndArray == extracted)
-
-    val ellipsised = ndArray(--->)
-    assert(ellipsised == ndArray)
-
-    val ellipsised1 = ndArray(---)
-    assert(ellipsised1 == ndArray)
-  }
-
-  it should "accept partially ellipsis indices" in {
-    val ndArray = (1f to 8f by 1).mkNDArray(Array(2, 2, 2), ordering)
-
-    val ellipsised = ndArray(--->, 0)
-    val notEllipsised = ndArray(->, ->, 0)
-    assert(ellipsised == notEllipsised)
-
-    val ellipsisedAtEnd = ndArray(0, --->)
-    val notEllipsisedAtEnd = ndArray(0, ->, ->)
-    assert(ellipsisedAtEnd == notEllipsisedAtEnd)
-
-    val ellipsisedOneHand = ndArray(0 ->, ->, ->)
-    val notEllipsisedOneHand = ndArray(->, ->, ->)
-    assert(ellipsisedOneHand == notEllipsisedOneHand)
-  }
-
-  // TODO: fix me. This is about INDArray having to be sliced by LONG indices
-  // can't find the correct way to fix implicits without breaking other stuff.
-  it should "be able to extract sub-matrix with index range by step" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering).reshape(3, 3)
-
-    val extracted = ndArray(0 -> 3 by 2, ->)
-    val extractedWithRange = ndArray(0 until 3 by 2, ->)
-    val extractedWithInclusiveRange = ndArray(0 to 2 by 2, ->)
-
-    val expected =
-      Array(
-        Array(1, 2, 3),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-
-    assert(extracted == expected)
-    assert(extractedWithRange == expected)
-    assert(extractedWithInclusiveRange == expected)
-
-    /*
-     Equivalent with NumPy document examples.
-     @see http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#basic-slicing-and-indexing
-     */
-    val list = (0 to 9).toNDArray
-    val step = list(1 -> 7 by 2).reshape(-1)
-    assert(step.length() == 3)
-    assert(step.getFloat(0: Long) == 1)
-    assert(step(0) == 1)
-    assert(step(0, 0) == 1)
-    assert(step.getFloat(1: Long) == 3)
-    assert(step.getFloat(2: Long) == 5)
-
-    val filtered = list(-2 -> 10).reshape(-1)
-    assert(filtered.length() == 2)
-    assert(filtered.getFloat(0: Long) == 8)
-    assert(filtered.getFloat(1: Long) == 9)
-
-    val nStep = list(-3 -> 3 by -1).reshape(-1)
-    assert(nStep.length() == 4)
-    assert(nStep.getFloat(0: Long) == 7)
-    assert(nStep.getFloat(1: Long) == 6)
-    assert(nStep.getFloat(2: Long) == 5)
-    assert(nStep.getFloat(3: Long) == 4)
-  }
-
-  it should "be able to update value with specified indices" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-
-    ndArray(0 -> 3 by 2, ->) = 0
-
-    assert(
-      ndArray == Array(
-        Array(0, 0, 0),
-        Array(4, 5, 6),
-        Array(0, 0, 0)
-      ).mkNDArray(ordering)
-    )
-  }
-
-  it should "be able to update INDArray with specified indices" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-
-    ndArray(0 -> 2, 0 -> 2) = Array(Array(0, 1), Array(2, 3)).mkNDArray(ordering)
-
-    assert(
-      ndArray == Array(
-        Array(0, 1, 3),
-        Array(2, 3, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(ordering)
-    )
-  }
-
-  "num2Scalar" should "convert number to Scalar INDArray" in {
-
-    assert(1.toScalar.reshape(1) == List(1).toNDArray)
-    assert(2f.toScalar.reshape(1) == List(2f).toNDArray)
-    assert(3d.toScalar.reshape(1) == List(3d).toNDArray)
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/NDArrayIndexingTest.scala b/nd4s/src/test/scala/org/nd4s/NDArrayIndexingTest.scala
deleted file mode 100644
index c93e51131..000000000
--- a/nd4s/src/test/scala/org/nd4s/NDArrayIndexingTest.scala
+++ /dev/null
@@ -1,66 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4s.Implicits._
-import org.nd4j.linalg.indexing.{ IntervalIndex, NDArrayIndexAll, PointIndex }
-import org.scalatest.FlatSpec
-
-class NDArrayIndexingTest extends FlatSpec {
-  "IndexRange" should "convert -> DSL to indices" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(NDOrdering.C)
-
-    val indices = ndArray.indicesFrom(0 -> 2, ->)
-    assert(indices.indices == List(0, 1, 2, 3, 4, 5))
-    assert(indices.targetShape.toList == List(2, 3))
-  }
-
-  it should "convert -> DSL to NDArrayIndex interval with stride 1 or 2" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(NDOrdering.C)
-
-    val indices = ndArray.getINDArrayIndexfrom(0 -> 2, 0 -> 3 by 2)
-    val rowI = indices(0)
-    assert(rowI.isInstanceOf[IntervalIndex])
-
-    val columnI = indices(1)
-    assert(columnI.isInstanceOf[IntervalIndex])
-  }
-  it should "convert -> DSL to NDArrayIndex point,all" in {
-    val ndArray =
-      Array(
-        Array(1, 2, 3),
-        Array(4, 5, 6),
-        Array(7, 8, 9)
-      ).mkNDArray(NDOrdering.C)
-
-    val indices = ndArray.getINDArrayIndexfrom(0, ->)
-    val rowI = indices(0)
-    assert(rowI.isInstanceOf[PointIndex])
-
-    val columnI = indices(1)
-    assert(columnI.isInstanceOf[NDArrayIndexAll])
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/NDArrayProjectionAPITest.scala b/nd4s/src/test/scala/org/nd4s/NDArrayProjectionAPITest.scala
deleted file mode 100644
index 388f440ce..000000000
--- a/nd4s/src/test/scala/org/nd4s/NDArrayProjectionAPITest.scala
+++ /dev/null
@@ -1,310 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.nd4s.Implicits._
-import org.scalatest.{ FlatSpec, Matchers }
-
-class NDArrayProjectionAPITest extends FlatSpec {
-  "ColumnProjectedNDArray" should "map column correctly" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = for {
-      c <- ndArray.columnP
-      if c.get(0) % 2 == 0
-    } yield c * c
-
-    assert(
-      result == Array(
-        Array(4d),
-        Array(25d),
-        Array(64d)
-      ).toNDArray
-    )
-  }
-
-  "ColumnProjectedNDArray" should "map column correctly 2" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.columnP map (input => input + 1)
-    assert(
-      result == Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-    )
-  }
-
-  "ColumnProjectedNDArray" should "map column correctly 3" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.columnP flatMap (input => input + 1)
-    assert(
-      result == Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-    )
-  }
-
-  "ColumnProjectedNDArray" should "map column correctly in place " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    ndArray.columnP flatMapi (input => input + 1)
-    assert(
-      ndArray == Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-    )
-  }
-
-  "ColumnProjectedNDArray" should "map column correctly 4" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.columnP map (input => input + 1)
-    assert(
-      result == Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-    )
-  }
-
-  "ColumnProjectedNDArray" should "map column correctly 5" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    ndArray.columnP mapi (input => input + 1)
-    assert(
-      ndArray == Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-    )
-  }
-
-  "ColumnProjectedNDArray" should "flatmap column correctly" in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.columnP withFilter (input => false)
-    assert(result.filtered.isEmpty)
-  }
-
-  "RowProjectedNDArray" should "map row correctly in for loop " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = for {
-      c <- ndArray.rowP
-      if c.get(0) % 2 == 0
-    } yield c * c
-
-    assert(
-      result ==
-        Array(Array(16d, 25d, 36d)).toNDArray
-    )
-  }
-
-  "RowProjectedNDArray" should "map row correctly  " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.rowP map (input => input / 2)
-
-    assert(
-      result ==
-        Array[Double](0.5000, 1.0000, 1.5000, 2.0000, 2.5000, 3.0000, 3.5000, 4.0000, 4.5000).toNDArray.reshape(3, 3)
-    )
-  }
-
-  "RowProjectedNDArray" should "filter rows correctly  " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.rowP withFilter (input => false)
-    assert(result.filtered.isEmpty)
-  }
-
-  "RowProjectedNDArray" should "flatMap rows correctly  " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.rowP flatMap (input => input + 1)
-    val expected =
-      Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-
-    assert(result == expected)
-  }
-
-  "RowProjectedNDArray" should "map row correctly 2 " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    val result = ndArray.rowP map (input => input / 2)
-
-    assert(
-      result ==
-        Array[Double](0.5000, 1.0000, 1.5000, 2.0000, 2.5000, 3.0000, 3.5000, 4.0000, 4.5000).toNDArray.reshape(3, 3)
-    )
-  }
-
-  "RowProjectedNDArray" should "flatMap in place rows correctly  " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    ndArray.rowP flatMapi (input => input + 1)
-    val expected =
-      Array(
-        Array(2d, 3d, 4d),
-        Array(5d, 6d, 7d),
-        Array(8d, 9d, 10d)
-      ).toNDArray
-
-    assert(ndArray == expected)
-  }
-
-  "RowProjectedNDArray" should "map in place rows correctly " in {
-    val ndArray =
-      Array(
-        Array(1d, 2d, 3d),
-        Array(4d, 5d, 6d),
-        Array(7d, 8d, 9d)
-      ).toNDArray
-
-    ndArray.rowP mapi (input => input / 2)
-
-    assert(
-      ndArray ==
-        Array[Double](0.5000, 1.0000, 1.5000, 2.0000, 2.5000, 3.0000, 3.5000, 4.0000, 4.5000).toNDArray.reshape(3, 3)
-    )
-  }
-
-  "SliceProjectedNDArray" should "map slice correctly" in {
-    val ndArray =
-      (1d to 8d by 1).asNDArray(2, 2, 2)
-
-    val result = for {
-      slice <- ndArray.sliceP
-      if slice.get(0) > 1
-    } yield slice * slice
-
-    assert(result == List(25d, 36d, 49d, 64d).asNDArray(1, 2, 2))
-  }
-
-  "SliceProjectedNDArray" should "flatmap slice correctly" in {
-    val ndArray =
-      (1d to 8d by 1).asNDArray(2, 2, 2)
-
-    val result = ndArray.sliceP flatMap (input => input * 2)
-    val expected =
-      (2d to 16d by 2).asNDArray(2, 2, 2)
-    assert(result == expected)
-  }
-
-  "SliceProjectedNDArray" should "flatmap slice correctly in place" in {
-    val ndArray =
-      (1d to 8d by 1).asNDArray(2, 2, 2)
-
-    ndArray.sliceP flatMapi (input => input * 2)
-    val expected =
-      (2d to 16d by 2).asNDArray(2, 2, 2)
-    assert(ndArray == expected)
-  }
-
-  "SliceProjectedNDArray" should "map slice correctly in place" in {
-    val ndArray =
-      (1d to 8d by 1).asNDArray(2, 2, 2)
-
-    ndArray.sliceP mapi (input => input * 2)
-    val expected =
-      (2d to 16d by 2).asNDArray(2, 2, 2)
-    assert(ndArray == expected)
-  }
-
-  "SliceProjectedNDArray" should "filter slice correctly" in {
-    val ndArray = (1d until 9d by 1).asNDArray(2, 2, 2)
-    val result = ndArray.sliceP withFilter (input => false)
-    assert(result.filtered.isEmpty)
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/OperatableNDArrayTest.scala b/nd4s/src/test/scala/org/nd4s/OperatableNDArrayTest.scala
deleted file mode 100644
index 7f48bcce8..000000000
--- a/nd4s/src/test/scala/org/nd4s/OperatableNDArrayTest.scala
+++ /dev/null
@@ -1,281 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.junit.runner.RunWith
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4s.Implicits._
-import org.nd4j.linalg.factory.Nd4j
-import org.scalatest.junit.JUnitRunner
-import org.scalatest.{ FlatSpec, Matchers }
-
-@RunWith(classOf[JUnitRunner])
-class OperatableNDArrayTest extends FlatSpec with Matchers {
-  "RichNDArray" should "use the apply method to access values" in {
-    // -- 2D array
-    val nd2 = Nd4j.create(Array[Double](1, 2, 3, 4), Array[Int](1, 4))
-
-    nd2.get(0) should be(1)
-    nd2.get(0, 3) should be(4)
-
-    // -- 3D array
-    val nd3 = Nd4j.create(Array[Double](1, 2, 3, 4, 5, 6, 7, 8), Array[Int](2, 2, 2))
-    nd3.get(0, 0, 0) should be(1)
-    nd3.get(1, 1, 1) should be(8)
-
-  }
-
-  it should "use transpose abbreviation" in {
-    val nd1 = Nd4j.create(Array[Double](1, 2, 3), Array(3, 1))
-    nd1.shape should equal(Array(3, 1))
-    val nd1t = nd1.T
-    nd1t.shape should equal(Array(1, 3))
-  }
-
-  it should "add correctly" in {
-    val a = Nd4j.create(Array[Double](1, 2, 3, 4, 5, 6, 7, 8), Array(2, 2, 2))
-    val b = a + 100
-    a.get(0, 0, 0) should be(1)
-    b.get(0, 0, 0) should be(101)
-    a += 1
-    a.get(0, 0, 0) should be(2)
-  }
-
-  it should "subtract correctly" in {
-    val a = Nd4j.create(Array[Double](1, 2, 3, 4, 5, 6, 7, 8), Array(2, 2, 2))
-    val b = a - 100
-    a.get(0, 0, 0) should be(1)
-    b.get(0, 0, 0) should be(-99)
-    a -= 1
-    a.get(0, 0, 0) should be(0)
-
-    val c = Nd4j.create(Array[Double](1, 2))
-    val d = c - c
-    d.get(0) should be(0)
-    d.get(1) should be(0)
-  }
-
-  it should "divide correctly" in {
-    val a = Nd4j.create(Array[Double](1, 2, 3, 4, 5, 6, 7, 8), Array(2, 2, 2))
-    val b = a / a
-    a.get(1, 1, 1) should be(8)
-    b.get(1, 1, 1) should be(1)
-    a /= a
-    a.get(1, 1, 1) should be(1)
-  }
-
-  it should "element-by-element multiply correctly" in {
-    val a = Nd4j.create(Array[Double](1, 2, 3, 4), Array(4, 1))
-    val b = a * a
-    a.get(3) should be(4) // [1.0, 2.0, 3.0, 4.0
-    b.get(3) should be(16) // [1.0 ,4.0 ,9.0 ,16.0]
-    a *= 5 // [5.0 ,10.0 ,15.0 ,20.0]
-    a.get(0) should be(5)
-  }
-
-  it should "use the update method to mutate values" in {
-    val nd3 = Nd4j.create(Array[Double](1, 2, 3, 4, 5, 6, 7, 8), Array(2, 2, 2))
-    nd3(0) = 11
-    nd3.get(0) should be(11)
-
-    val idx = Array(1, 1, 1)
-    nd3(idx) = 100
-    nd3.get(idx) should be(100)
-  }
-
-  it should "use === for equality comparisons" in {
-    val a = Nd4j.create(Array[Double](1, 2))
-
-    val b = Nd4j.create(Array[Double](1, 2))
-    val c = a === b
-    c.get(0) should be(1)
-    c.get(1) should be(1)
-
-    val d = Nd4j.create(Array[Double](10, 20))
-    val e = a === d
-    e.get(0) should be(0)
-    e.get(1) should be(0)
-
-    val f = a === 1 // === from our DSL
-    f.get(0) should be(1)
-    f.get(1) should be(0)
-  }
-
-  it should "use - prefix for negation" in {
-    val a = Nd4j.create(Array[Float](1, 3))
-    val b = -a
-    b.get(0) should be(-1)
-    b.get(1) should be(-3)
-  }
-
-  it should "not prevent any2stringadd syntax" in {
-    val s: String = Nd4j.create(2, 2) + ""
-  }
-
-  "Sum function" should "choose return value depending on INDArray type" in {
-    val ndArray =
-      Array(
-        Array(1, 2),
-        Array(4, 5)
-      ).toNDArray
-
-    //return Double in real NDArray at default
-    ndArray.get(0) shouldBe a[java.lang.Double]
-    val sumValue = ndArray.sumT
-    sumValue shouldBe a[java.lang.Double]
-
-    //switch return value with passing corresponding evidence explicitly
-    val sumValueInFloatExplicit = ndArray.sumT(FloatNDArrayEvidence)
-    sumValueInFloatExplicit shouldBe a[java.lang.Float]
-
-    //switch return value with declaring implicit value but explicit one would be more readable.
-    import org.nd4s.Evidences.float
-    val sumValueInFloatImplicit = ndArray.sumT
-    sumValueInFloatImplicit shouldBe a[java.lang.Float]
-  }
-
-  it should "provide matrix multiplicaton operations " in {
-    val a = Nd4j.create(Array[Float](4, 6, 5, 7)).reshape(2, 2)
-    val b = Nd4j.create(Array[Float](1, 3, 4, 8)).reshape(2, 2)
-    a **= b
-    val expected = Array[Float](28.0000f, 60.0000f, 33.0000f, 71.0000f).toNDArray.reshape(2, 2)
-    a shouldBe expected
-  }
-
-  it should "provide matrix division operations " in {
-    val a = Nd4j.create(Array[Float](4, 6, 5, 7)).reshape(2, 2)
-    a /= 12
-    a.get(0) shouldBe (0.3333 +- 0.0001)
-    a.get(1) shouldBe (0.5 +- 0.0001)
-    a.get(2) shouldBe (0.4167 +- 0.0001)
-    a.get(3) shouldBe (0.5833 +- 0.0001)
-
-    val b = Nd4j.create(Array[Float](4, 6, 5, 7)).reshape(2, 2)
-    b %= 12
-    b.get(0) shouldBe (4.0)
-    b.get(1) shouldBe (6.0)
-    b.get(2) shouldBe (5.0)
-    b.get(3) shouldBe (-5.0)
-
-    val c = Nd4j.create(Array[Float](4, 6, 5, 7)).reshape(2, 2)
-    c \= 12
-    c.get(0) shouldBe (3.0)
-    c.get(1) shouldBe (2.0)
-    c.get(2) shouldBe (2.4000 +- 0.0001)
-    c.get(3) shouldBe (1.7143 +- 0.0001)
-  }
-
-  it should "provide math operations for vectors " in {
-    val a = Nd4j.create(Array[Float](4, 6))
-    val b = Nd4j.create(Array[Float](1, 3))
-    a /= b
-    val expected1 = Nd4j.create(Array[Float](4, 2))
-    assert(a == expected1)
-
-    a *= b
-    val expected2 = Nd4j.create(Array[Float](4, 6))
-    assert(a == expected2)
-
-    a += b
-    val expected3 = Nd4j.create(Array[Float](5, 9))
-    assert(a == expected3)
-
-    a -= b
-    val expected4 = Nd4j.create(Array[Float](4, 6))
-    assert(a == expected4)
-
-    a \= b
-    val expected5 = Array[Float](0.25f, 0.5f).toNDArray
-    assert(a == expected5)
-
-    val c = a * b
-    val expected6 = Array[Float](0.25f, 1.5f).toNDArray
-    assert(c == expected6)
-
-    val d = a + b
-    val expected7 = Array[Float](1.25f, 3.5f).toNDArray
-    assert(d == expected7)
-
-    val e = a / b
-    e.get(0) should be(0.2500 +- 0.0001)
-    e.get(1) should be(0.1667 +- 0.0001)
-
-    val f = a \ b
-    f.get(0) should be(4.0 +- 0.0001)
-    f.get(1) should be(6.0 +- 0.0001)
-
-    val g = a ** b
-    g.get(0) shouldBe 1.7500
-
-    val h = a dot b
-    g.get(0) shouldBe 1.7500
-
-    d.sumT shouldBe 4.75
-
-    d.meanT shouldBe 2.375
-
-    d.norm1T shouldBe 4.75
-
-    d.maxT shouldBe 3.5
-
-    d.minT shouldBe 1.25
-
-    d.prodT shouldBe 4.375
-
-    d.varT shouldBe 2.53125
-
-    d.norm2T should be(3.7165 +- 0.0001)
-
-    d.stdT should be(1.5909 +- 0.0001)
-  }
-
-  it should "provide arithmetic ops calls on integers " in {
-    val ndArray = Array(1, 2).toNDArray
-    val c = ndArray + 5
-    c shouldBe Array(6, 7).toNDArray
-
-    val d = 5 + ndArray
-    c shouldBe Array(6, 7).toNDArray
-  }
-
-  it should "broadcast add ops calls on vectors with different length " in {
-    val x = Array(1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f).mkNDArray(Array(3, 5))
-    val y = Array[Float](1f, 1f, 1f, 1f, 1f).toNDArray
-    val e = x + 1f.toScalar
-    assert((x + y) == e)
-
-    val x1 = Array(1f, 1f, 1f, 1f, 1f, 1f).mkNDArray(Array(3, 1, 2))
-    val y1 = Array[Float](1f, 1f, 1f, 1f).toNDArray.reshape(2, 2)
-    val t1 = Array(1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f).mkNDArray(Array(3, 2, 2))
-    val e1 = t1 + 1f
-    assert((x1 + y1) == e1)
-
-    val e2 = 1f + t1
-    assert(e1 == e2)
-  }
-
-  it should "broadcast multiplication ops " in {
-
-    val x1 = Array(1f, 1f, 1f, 1f, 1f, 1f).mkNDArray(Array(3, 1, 2))
-    val y1 = Array[Float](1f, 1f, 1f, 1f).toNDArray.reshape(2, 2)
-    val t1 = Array(1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f, 1f).mkNDArray(Array(3, 2, 2))
-    val e1 = t1 * 1f
-    assert((x1 * y1) == e1)
-
-    val e2 = 1f * t1
-    assert(e1 == e2)
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/OrderingForTest.scala b/nd4s/src/test/scala/org/nd4s/OrderingForTest.scala
deleted file mode 100644
index 927aea799..000000000
--- a/nd4s/src/test/scala/org/nd4s/OrderingForTest.scala
+++ /dev/null
@@ -1,28 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2018 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.nd4s
-
-import org.scalatest.{ Suite, SuiteMixin }
-
-trait OrderingForTest extends SuiteMixin { this: Suite =>
-  val ordering: NDOrdering
-}
-trait COrderingForTest extends OrderingForTest { this: Suite =>
-  override val ordering: NDOrdering = NDOrdering.C
-}
-trait FortranOrderingForTest extends OrderingForTest { this: Suite =>
-  override val ordering: NDOrdering = NDOrdering.Fortran
-}
diff --git a/nd4s/src/test/scala/org/nd4s/samediff/ConstructionTest.scala b/nd4s/src/test/scala/org/nd4s/samediff/ConstructionTest.scala
deleted file mode 100644
index d1d760286..000000000
--- a/nd4s/src/test/scala/org/nd4s/samediff/ConstructionTest.scala
+++ /dev/null
@@ -1,178 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2019 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-  ******************************************************************************/
-package org.nd4s.samediff
-
-import org.nd4j.autodiff.samediff.{ SDVariable, SameDiff, TrainingConfig }
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.dataset.MultiDataSet
-import org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4j.linalg.learning.config.Sgd
-import org.nd4s.Implicits._
-import org.nd4s.samediff.implicits.Implicits._
-import org.scalatest.{ FlatSpec, Matchers }
-
-class ConstructionTest extends FlatSpec with Matchers {
-
-  "SameDiff" should "allow composition of arithmetic operations" in {
-
-    val sd = SameDiff.create()
-    val ph1 = sd.placeHolder("ph1", DataType.FLOAT, 3, 4)
-    val w1 = sd.bind("w1", Nd4j.rand(DataType.FLOAT, 4, 5))
-    val b1 = sd.bind("b1", Nd4j.rand(DataType.FLOAT, 5))
-
-    val mmul1 = ph1 * w1
-    val badd1 = mmul1 + b1
-
-    val loss1 = badd1.std("loss1", true)
-
-    sd.setLossVariables("loss1")
-    sd.createGradFunction
-    for (v <- Array[SDVariable](ph1, w1, b1, mmul1, badd1, loss1)) {
-      assert(v.getVarName != null && v.gradient != null)
-    }
-  }
-
-  "SameDiff" should "provide arithmetic operations for float arguments in arbitrary order" in {
-
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0f.toScalar)
-    var evaluated = w1.eval.castTo(DataType.FLOAT)
-    evaluated.toFloatVector.head shouldBe 4.0f
-
-    val w2 = w1 * 2.0f
-    w2.eval.toFloatVector.head shouldBe 8.0f
-    val w3 = w2 + 2.0f
-    w3.eval.toFloatVector.head shouldBe 10.0f
-
-    val w4 = 2.0f * w1
-    w4.eval.toFloatVector.head shouldBe 8.0f
-    val w5 = 2.0f + w2
-    w5.eval.toFloatVector.head shouldBe 10.0f
-
-    val w6 = w1 / 2.0f
-    w6.eval.toFloatVector.head shouldBe 2.0f
-    val w7 = w2 - 2.0f
-    w7.eval.toFloatVector.head shouldBe 6.0f
-
-    val w8 = 2.0f / w1
-    w8.eval.toFloatVector.head shouldBe 2.0f
-
-    val w9 = 2.0f - w2
-    w9.eval.toFloatVector.head shouldBe 6.0f
-  }
-
-  "SameDiff" should "provide arithmetic operations for double arguments in arbitrary order" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0.toScalar)
-    var evaluated = w1.eval.castTo(DataType.DOUBLE)
-    evaluated.toFloatVector.head shouldBe 4.0
-
-    val w2 = w1 * 2.0
-    w2.eval.toFloatVector.head shouldBe 8.0
-    val w3 = w2 + 2.0
-    w3.eval.toFloatVector.head shouldBe 10.0
-
-    val w4 = 2.0 * w1
-    w4.eval.toFloatVector.head shouldBe 8.0
-    val w5 = 2.0 + w2
-    w5.eval.toFloatVector.head shouldBe 10.0
-
-    val w6 = w1 / 2.0
-    w6.eval.toFloatVector.head shouldBe 2.0
-    val w7 = w2 - 2.0
-    w7.eval.toFloatVector.head shouldBe 6.0
-
-    val w8 = 2.0 / w1
-    w8.eval.toFloatVector.head shouldBe 2.0
-    val w9 = 2.0 - w2
-    w9.eval.toFloatVector.head shouldBe 6.0f
-  }
-
-  "SameDiff" should "provide unary math operators" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0.toScalar)
-    var evaluated = w1.eval.castTo(DataType.DOUBLE)
-    evaluated.toFloatVector.head shouldBe 4.0
-
-    val w2 = -w1
-    var evaluated2 = w2.eval.castTo(DataType.DOUBLE)
-    evaluated2.toFloatVector.head shouldBe -4.0
-
-    val w3 = w1 ** 2
-    var evaluated3 = w3.eval.castTo(DataType.DOUBLE)
-    evaluated3.toFloatVector.head shouldBe 16.0
-  }
-
-  "classification example" should "work" in {
-    val learning_rate = 0.1
-    val seed = 7
-
-    val target = Nd4j.createUninitialized(DataType.DOUBLE, 1000)
-    val rng = Nd4j.getRandom
-    rng.setSeed(seed)
-    val x1_label1 = Nd4j.randn(3.0, 1.0, target, rng)
-    val target1 = Nd4j.createUninitialized(DataType.DOUBLE, 1000)
-    val x2_label1 = Nd4j.randn(2.0, 1.0, target1, rng)
-    val target2 = Nd4j.createUninitialized(DataType.DOUBLE, 1000)
-    val x1_label2 = Nd4j.randn(7.0, 1.0, target2, rng)
-    val target3 = Nd4j.createUninitialized(DataType.DOUBLE, 1000)
-    val x2_label2 = Nd4j.randn(6.0, 1.0, target3, rng)
-
-    // np.append, was not able to guess proper method
-    val x1s = Nd4j.concat(0, x1_label1, x1_label2)
-    val x2s = Nd4j.concat(0, x2_label1, x2_label2)
-
-    // Must have implicit sd here for some ops
-    implicit val sd = SameDiff.create
-    val ys = (Nd4j.scalar(0.0) * x1_label1.length()) + (Nd4j.scalar(1.0) * x1_label2.length())
-
-    // Empty shape can't be passed vs tf behaviour
-    val X1 = sd.placeHolder("x1", DataType.DOUBLE, 2000)
-    val X2 = sd.placeHolder("x2", DataType.DOUBLE, 2000)
-    val y = sd.placeHolder("y", DataType.DOUBLE)
-    val w = sd.bind("w", DataType.DOUBLE, Array[Int](3))
-    //Sample: -tf.log(y_model * Y + (1 — y_model) * (1 — Y))
-    val y_model: SDVariable =
-      sd.nn.sigmoid(w(2) * X2 + w(1) * X1 + w(0))
-    val cost_fun: SDVariable = (sd.math.neg(
-      sd.math.log(y_model * y + (sd.math.log(sd.constant(1.0) - y_model) * (sd.constant(1.0) - y)))
-    ))
-    val loss = sd.mean("loss", cost_fun)
-
-    val updater = new Sgd(learning_rate)
-
-    sd.setLossVariables("loss")
-    sd.createGradFunction
-    val conf = new TrainingConfig.Builder()
-      .updater(updater)
-      .minimize("loss")
-      .dataSetFeatureMapping("x1", "x2", "y")
-      .markLabelsUnused()
-      .build()
-
-    val mds = new MultiDataSet(Array[INDArray](x1s, x2s, ys), new Array[INDArray](0))
-
-    sd.setTrainingConfig(conf)
-    sd.fit(new SingletonMultiDataSetIterator(mds), 1)
-
-    w.getArr.get(0) shouldBe (0.0629 +- 0.0001)
-    w.getArr.get(1) shouldBe (0.3128 +- 0.0001)
-    w.getArr.get(2) shouldBe (0.2503 +- 0.0001)
-    //Console.println(w.eval)
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/samediff/MathTest.scala b/nd4s/src/test/scala/org/nd4s/samediff/MathTest.scala
deleted file mode 100644
index 5eec9f237..000000000
--- a/nd4s/src/test/scala/org/nd4s/samediff/MathTest.scala
+++ /dev/null
@@ -1,246 +0,0 @@
-/*******************************************************************************
-  * Copyright (c) 2015-2019 Skymind, Inc.
-  *
-  * This program and the accompanying materials are made available under the
-  * terms of the Apache License, Version 2.0 which is available at
-  * https://www.apache.org/licenses/LICENSE-2.0.
-  *
-  * Unless required by applicable law or agreed to in writing, software
-  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-  * License for the specific language governing permissions and limitations
-  * under the License.
-  *
-  * SPDX-License-Identifier: Apache-2.0
-  ******************************************************************************/
-package org.nd4s.samediff
-
-import org.nd4j.autodiff.samediff.{ SDIndex, SDVariable, SameDiff }
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4s.Implicits._
-import org.nd4s.NDOrdering
-import org.nd4s.samediff.implicits.Implicits._
-import org.scalatest.{ FlatSpec, Matchers }
-
-class MathTest extends FlatSpec with Matchers {
-
-  "SameDiff" should "allow composition of arithmetic operations" in {
-
-    val sd = SameDiff.create()
-    val ph1 = sd.placeHolder("ph1", DataType.FLOAT, 3, 4)
-    val w1 = sd.bind("w1", Nd4j.rand(DataType.FLOAT, 4, 5))
-    val b1 = sd.bind("b1", Nd4j.rand(DataType.FLOAT, 5))
-
-    val mmul1 = ph1 * w1
-    val badd1 = mmul1 + b1
-
-    val loss1 = badd1.std("loss1", true)
-
-    sd.setLossVariables("loss1")
-    sd.createGradFunction
-    for (v <- Array[SDVariable](ph1, w1, b1, mmul1, badd1, loss1)) {
-      assert(v.getVarName != null && v.gradient != null)
-    }
-  }
-
-  "SameDiff" should "provide arithmetic operations for float arguments in arbitrary order" in {
-
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0f.toScalar)
-    var evaluated = w1.eval.castTo(DataType.FLOAT)
-    evaluated.toFloatVector.head shouldBe 4.0f
-
-    val w2 = w1 * 2.0f
-    w2.eval.toFloatVector.head shouldBe 8.0f
-    val w3 = w2 + 2.0f
-    w3.eval.toFloatVector.head shouldBe 10.0f
-
-    val w4 = 2.0f * w1
-    w4.eval.toFloatVector.head shouldBe 8.0f
-    val w5 = 2.0f + w2
-    w5.eval.toFloatVector.head shouldBe 10.0f
-
-    val w6 = w1 / 2.0f
-    w6.eval.toFloatVector.head shouldBe 2.0f
-    val w7 = w2 - 2.0f
-    w7.eval.toFloatVector.head shouldBe 6.0f
-
-    val w8 = 2.0f / w1
-    w8.eval.toFloatVector.head shouldBe 2.0f
-
-    val w9 = 2.0f - w2
-    w9.eval.toFloatVector.head shouldBe 6.0f
-  }
-
-  "SameDiff" should "provide arithmetic operations for double arguments in arbitrary order" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0.toScalar)
-    var evaluated = w1.eval.castTo(DataType.DOUBLE)
-    evaluated.toFloatVector.head shouldBe 4.0
-
-    val w2 = w1 * 2.0
-    w2.eval.toFloatVector.head shouldBe 8.0
-    val w3 = w2 + 2.0
-    w3.eval.toFloatVector.head shouldBe 10.0
-
-    val w4 = 2.0 * w1
-    w4.eval.toFloatVector.head shouldBe 8.0
-    val w5 = 2.0 + w2
-    w5.eval.toFloatVector.head shouldBe 10.0
-
-    val w6 = w1 / 2.0
-    w6.eval.toFloatVector.head shouldBe 2.0
-    val w7 = w2 - 2.0
-    w7.eval.toFloatVector.head shouldBe 6.0
-
-    val w8 = 2.0 / w1
-    w8.eval.toFloatVector.head shouldBe 2.0
-    val w9 = 2.0 - w2
-    w9.eval.toFloatVector.head shouldBe 6.0f
-  }
-
-  "SameDiff" should "provide floor division" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0.toScalar)
-    val w2 = sd.bind("w2", 1.2.toScalar)
-    val w3 = w1 `//` w2
-    w3.eval.toFloatVector.head shouldBe 3.0
-
-    val w4 = w1 `//` 1.5
-    w4.eval.toFloatVector.head shouldBe 2.0
-
-    val w5 = 9.5 `//` w1
-    w5.eval.toFloatVector.head shouldBe 2.0
-  }
-
-  "SameDiff" should "provide remainder division" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 40.0.toScalar)
-    val w2 = sd.bind("w2", 12.0.toScalar)
-    val w3 = w2 % w1
-    w3.eval.toFloatVector.head shouldBe 12.0
-    val w4 = w1 % w2
-    w4.eval.toFloatVector.head shouldBe 4.0
-
-    val w5 = w1 % 15.0
-    w5.eval.toFloatVector.head shouldBe 10.0
-
-    val w6 = 10.0 % w1
-    w6.eval.toFloatVector.head shouldBe 10.0
-  }
-
-  "SameDiff" should "provide unary math operators" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.bind("w1", 4.0.toScalar)
-    var evaluated = w1.eval.castTo(DataType.DOUBLE)
-    evaluated.toFloatVector.head shouldBe 4.0
-
-    val w2 = -w1
-    var evaluated2 = w2.eval.castTo(DataType.DOUBLE)
-    evaluated2.toFloatVector.head shouldBe -4.0
-
-    val w3 = w1 ** 2
-    var evaluated3 = w3.eval.castTo(DataType.DOUBLE)
-    evaluated3.toFloatVector.head shouldBe 16.0
-  }
-
-  "SameDiff" should "provide boolean logic operators" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.constant(Nd4j.scalar(true))
-    val w2 = sd.constant(Nd4j.scalar(true))
-
-    val w3 = w1 | w2
-    w3.eval.toIntVector.head shouldBe 1
-
-    val w4 = w1 & w2
-    w4.eval.toIntVector.head shouldBe 1
-
-    val w5 = w1 ^ w2
-    w5.eval.toIntVector.head shouldBe 0
-
-    val w6 = w1 | false
-    w6.eval.toIntVector.head shouldBe 1
-
-    val w7 = w1 & false
-    w7.eval.toIntVector.head shouldBe 0
-
-    val w8 = w1 ^ false
-    w8.eval.toIntVector.head shouldBe 1
-
-    val w9 = false | w1
-    w9.eval.toIntVector.head shouldBe 1
-
-    val w10 = false & w1
-    w10.eval.toIntVector.head shouldBe 0
-
-    val w11 = false ^ w1
-    w11.eval.toIntVector.head shouldBe 1
-  }
-
-  "SameDiff" should "provide shifting operations" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.constant(16)
-
-    val w2 = w1 << 2
-    w2.eval.toIntVector.head shouldBe 64
-
-    val w3 = w1 >> 2
-    w3.eval.toIntVector.head shouldBe 4
-  }
-
-  "SameDiff" should "provide shifting operations with SDVariable argument" in {
-    implicit val sd = SameDiff.create()
-    val w1 = sd.constant(16)
-    val two = sd.constant(2)
-
-    val w2 = w1 << two
-    w2.eval.toIntVector.head shouldBe 64
-
-    val w3 = w1 >> two
-    w3.eval.toIntVector.head shouldBe 4
-  }
-
-  "SDVariable " should "be indexable" in {
-    implicit val sd = SameDiff.create
-
-    val arr = Nd4j.linspace(1, 100, 100).reshape('c', 10L, 10L)
-    val x = sd.bind(arr)
-    val y = new SDVariableWrapper(x)
-
-    x.get(SDIndex.point(0)).eval shouldBe y(0).eval
-  }
-
-  "SDVariable " should "be indexable in 2d" in {
-    implicit val sd = SameDiff.create
-
-    val arr = Nd4j.linspace(DataType.FLOAT, 1.0, 1.0, 9).reshape(3, 3)
-
-    val x = sd.bind(arr)
-
-    x(0, ---).eval shouldBe x(SDIndex.point(0), SDIndex.all()).eval
-
-    val slice1 = x.get(SDIndex.interval(0L, 2L), SDIndex.all()).eval
-    val slice2 = x(0 :: 2, ---).eval
-    slice1 shouldBe slice2
-  }
-
-  "SDVariable " should "be indexable in 3d" in {
-    implicit val sd = SameDiff.create
-
-    val arr = Nd4j.linspace(DataType.FLOAT, 1.0, 1.0, 18).reshape(3, 3, 2)
-    val x = sd.bind(arr)
-
-    x.get(SDIndex.all(), SDIndex.all(), SDIndex.all()).eval shouldBe x(---, ---, ---).eval
-    x.get(SDIndex.point(0), SDIndex.all(), SDIndex.all()).eval shouldBe x(0, ---, ---).eval
-    x.get(SDIndex.point(0), SDIndex.point(0), SDIndex.all()).eval shouldBe x(0, 0, ---).eval
-    x.get(SDIndex.point(0), SDIndex.point(0), SDIndex.point(0)).eval shouldBe x(0, 0, 0).eval
-
-    x.get(SDIndex.interval(0L, 2L), SDIndex.point(0), SDIndex.point(0)).eval shouldBe x(0 :: 2, 0, 0).eval
-    x.get(SDIndex.interval(0L, 2L), SDIndex.interval(0L, 1L), SDIndex.interval(0L, 2L)).eval shouldBe x(0 :: 2,
-                                                                                                        0 :: 1,
-                                                                                                        0 :: 2).eval
-    x.get(SDIndex.interval(0L, 2L), SDIndex.interval(0L, 1L), SDIndex.all()).eval shouldBe x(0 :: 2, 0 :: 1, ---).eval
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/samediff/SameDiffTest.scala b/nd4s/src/test/scala/org/nd4s/samediff/SameDiffTest.scala
deleted file mode 100644
index a12a8752e..000000000
--- a/nd4s/src/test/scala/org/nd4s/samediff/SameDiffTest.scala
+++ /dev/null
@@ -1,126 +0,0 @@
-package org.nd4s.samediff
-
-import java.lang.reflect.Field
-import java.util
-import java.util.{ Arrays, Collections, HashMap, List, Map }
-
-import org.nd4j.shade.guava.collect.{ Lists, Maps }
-import org.junit.Assert._
-import org.junit.Assume.assumeNotNull
-import org.nd4j.autodiff.samediff._
-import org.nd4j.autodiff.samediff.impl.DefaultSameDiffConditional
-import org.nd4j.autodiff.validation.{ OpValidation, TestCase }
-import org.nd4j.linalg.activations.Activation
-import org.nd4j.linalg.api.blas.params.MMulTranspose
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.api.ops.DynamicCustomOp
-import org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction
-import org.nd4j.linalg.api.ops.impl.layers.convolution.config.{ Conv2DConfig, LocalResponseNormalizationConfig }
-import org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance
-import org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-import org.nd4j.linalg.api.ops.impl.transforms.any.IsMax
-import org.nd4j.linalg.api.ops.impl.transforms.custom.{ Max, Min }
-import org.nd4j.linalg.api.ops.impl.transforms.custom._
-import org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
-import org.nd4j.linalg.api.shape.LongShapeDescriptor
-import org.nd4j.linalg.checkutil.NDArrayCreationUtil
-import org.nd4j.linalg.dataset.{ DataSet, MultiDataSet }
-import org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4j.linalg.indexing.NDArrayIndex
-import org.nd4j.linalg.indexing.NDArrayIndex.all
-import org.nd4j.linalg.learning.config.Adam
-import org.nd4j.linalg.ops.transforms.Transforms
-import org.nd4j.weightinit.impl.{ OneInitScheme, UniformInitScheme, ZeroInitScheme }
-import org.nd4s.samediff.implicits.Implicits._
-import org.scalatest.{ FlatSpec, Matchers }
-import scala.collection.JavaConversions._
-
-class SameDiffTest extends FlatSpec with Matchers {
-
-  "SameDiff" should "allow Mse backwards execution" in {
-
-    implicit val sd: SameDiff = SameDiff.create
-
-    val nOut: Int = 4
-    val minibatch: Int = 3
-    val input: SDVariable = sd.bind("in", DataType.FLOAT, Array[Long](minibatch, nOut))
-    val label: SDVariable = sd.bind("label", DataType.FLOAT, Array[Long](minibatch, nOut))
-
-    val diff: SDVariable = input - label
-    val sqDiff: SDVariable = diff * diff
-    //val sqDiff: SDVariable = diff ** 2
-    val msePerEx: SDVariable = sd.mean("msePerEx", sqDiff, 1)
-    val avgMSE: SDVariable = sd.mean("loss", msePerEx, 0)
-
-    val inputArr: INDArray = Nd4j.rand(DataType.FLOAT, minibatch, nOut)
-    val labelArr: INDArray = Nd4j.rand(DataType.FLOAT, minibatch, nOut)
-
-    sd.associateArrayWithVariable(inputArr, input)
-    sd.associateArrayWithVariable(labelArr, label)
-
-    val result = sd.output(null: java.util.Map[String, org.nd4j.linalg.api.ndarray.INDArray], "loss")
-    assertEquals(1, result.values().size())
-
-    val emptyMap = new HashMap[String, INDArray]()
-    sd.output(emptyMap, "loss")
-  }
-
-  "SameDiff" should "run test dense layer forward pass" in {
-    Nd4j.getRandom.setSeed(12345)
-    implicit val sd = SameDiff.create
-    val iInput = Nd4j.rand(3, 4)
-    val iWeights = Nd4j.rand(4, 5)
-    val iBias = Nd4j.rand(1, 5)
-    val input = sd.bind("input", iInput)
-    val weights = sd.bind("weights", iWeights)
-    val bias = sd.bind("bias", iBias)
-    val mmul = sd.mmul("mmul", input, weights)
-
-    val z = mmul + bias
-
-    val out = sd.nn.sigmoid("out", z)
-    val expMmul = iInput.mmul(iWeights)
-    val expZ = expMmul.addRowVector(iBias)
-    val expOut = Transforms.sigmoid(expZ, true)
-    sd.output(new HashMap[String, INDArray](), "mmul", "out", "bias", "add")
-    assertEquals(expMmul, mmul.getArr)
-    assertEquals(expZ, z.getArr)
-    assertEquals(expOut, out.getArr)
-  }
-
-  "SameDiff" should "convert placeholder to constant" in {
-    Nd4j.getRandom.setSeed(12345)
-    val sd = SameDiff.create
-    val in = sd.placeHolder("in", DataType.FLOAT, 1, 3)
-    val in2 = sd.placeHolder("in2", DataType.FLOAT, 3, 4)
-    val b = sd.bind("b", Nd4j.rand(DataType.FLOAT, 1, 4))
-    val mmul = in.mmul(in2)
-    val add = mmul + b
-    val tanh = sd.math.tanh(add)
-    val loss = sd.variance(tanh, true)
-    val inArr = Nd4j.rand(DataType.FLOAT, 1, 3)
-    in.setArray(inArr)
-    val inArr2 = Nd4j.rand(DataType.FLOAT, 3, 4)
-    val c = TrainingConfig.builder
-      .updater(new Adam(0.1))
-      .weightDecay(0.01, true)
-      .dataSetFeatureMapping("in", "in2")
-      .skipBuilderValidation(true)
-      .build
-
-    val data = new HashMap[String, INDArray]()
-    data.put("in", Nd4j.randn(1, 3))
-    data.put("in2", Nd4j.randn(3, 4))
-    in.convertToConstant
-    val out = sd.output(data, "tanh")
-    val out2 = sd.output(data, "tanh")
-    assertEquals(out, out2)
-    assertEquals(VariableType.CONSTANT, in.getVariableType)
-    assertEquals(inArr, in.getArr)
-    //Sanity check on fitting:
-    sd.setTrainingConfig(c)
-    sd.fit(new SingletonMultiDataSetIterator(new MultiDataSet(Array[INDArray](inArr, inArr2), null)), 1)
-  }
-}
diff --git a/nd4s/src/test/scala/org/nd4s/samediff/TrainingTest.scala b/nd4s/src/test/scala/org/nd4s/samediff/TrainingTest.scala
deleted file mode 100644
index 553e59df2..000000000
--- a/nd4s/src/test/scala/org/nd4s/samediff/TrainingTest.scala
+++ /dev/null
@@ -1,125 +0,0 @@
-package org.nd4s.samediff
-
-import org.nd4j.autodiff.samediff.{ SDVariable, SameDiff, TrainingConfig }
-import org.nd4j.linalg.api.buffer.DataType
-import org.nd4j.linalg.api.ndarray.INDArray
-import org.nd4j.linalg.dataset.{ DataSet, MultiDataSet }
-import org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
-import org.nd4j.linalg.factory.Nd4j
-import org.nd4j.linalg.learning.config.Adam
-import org.nd4s.Implicits._
-import org.nd4s.samediff.implicits.Implicits._
-import org.scalatest.{ FlatSpec, Matchers }
-
-class TrainingTest extends FlatSpec with Matchers {
-
-  "SameDiff" should "allow loss calculation" in {
-    for (i <- 0 until 2) {
-      implicit val sd = SameDiff.create
-      val ph = sd.placeHolder("ph", DataType.FLOAT, 3, 4)
-      val w = sd.bind("w", Nd4j.rand(DataType.FLOAT, 4, 5))
-      val b = sd.bind("b", Nd4j.rand(DataType.FLOAT, 5))
-      val mmul = ph.mmul(w)
-      val badd = mmul + b
-      val add = badd + 1
-      val shape = add.shape
-      val unused1 = ph.mul(2)
-      val unused2 = ph.sub(4)
-      val unused3 = unused1.div(unused2)
-      val loss1 = add.std("l1", true)
-      val loss2 = mmul.mean("l2")
-//      Console.println(sd.summary)
-      if (i == 0) {
-        sd.setLossVariables("l1", "l2")
-        sd.createGradFunction()
-      } else {
-        val tc = TrainingConfig.builder
-          .updater(new Adam(0.01))
-          .minimize("l1", "l2")
-          .dataSetFeatureMapping("ph")
-          .markLabelsUnused
-          .build
-        sd.setTrainingConfig(tc)
-        val ds = new DataSet(Nd4j.create(3, 4), null)
-        sd.fit(ds)
-        sd.fit(ds)
-      }
-      for (s <- Array[String]("w", "b", badd.getVarName, add.getVarName, "l1", "l2")) {
-        val gradVar = sd.getVariable(s).gradient
-        assert(gradVar != null)
-      }
-      //Unused:
-      assert(!shape.hasGradient)
-      try assert(shape.gradient == null)
-      catch {
-        case e: IllegalStateException =>
-          assert(e.getMessage.contains("only floating point variables"))
-      }
-      for (s <- Array[String](unused1.getVarName, unused2.getVarName, unused3.getVarName)) {
-        assert(sd.getVariable(s).gradient == null)
-      }
-    }
-  }
-
-  "SameDiff" should "allow creating and running model with 2 losses: train on the first one, then change losses" in {
-    // TODO: try to get rid of implicit here
-    implicit val sd = SameDiff.create
-    val ph1 = sd.placeHolder("ph1", DataType.FLOAT, 3, 4)
-    val w1 = sd.bind("w1", Nd4j.rand(DataType.FLOAT, 4, 5))
-    val b1 = sd.bind("b1", Nd4j.rand(DataType.FLOAT, 5))
-    val mmul1 = ph1.mmul(w1)
-    val badd1 = mmul1 + b1
-
-    val ph2 = sd.placeHolder("ph2", DataType.FLOAT, 3, 2)
-    val w2 = sd.bind("w2", Nd4j.rand(DataType.FLOAT, 2, 6))
-    val b2 = sd.bind("b2", Nd4j.rand(DataType.FLOAT, 6))
-    val mmul2 = ph2.mmul(w2)
-    val badd2 = mmul2 + b2
-    val loss1 = badd1.std("loss1", true)
-    val loss2 = badd2.std("loss2", true)
-    //First: create grad function for optimizing loss 1 only
-    sd.setLossVariables("loss1")
-    sd.createGradFunction()
-    for (v <- Array[SDVariable](ph1, w1, b1, mmul1, badd1, loss1)) {
-      assert(v.gradient != null)
-    }
-    for (v <- Array[SDVariable](ph2, w2, b2, mmul2, badd2, loss2)) {
-      assert(v.gradient == null)
-    }
-    //Now, set to other loss function
-    sd.setLossVariables("loss2")
-    sd.createGradFunction()
-    for (v <- Array[SDVariable](ph1, w1, b1, mmul1, badd1, loss1)) {
-      assert(v.gradient == null)
-    }
-    for (v <- Array[SDVariable](ph2, w2, b2, mmul2, badd2, loss2)) {
-      assert(v.gradient != null)
-    }
-    //Train the first side of the graph. The other side should remain unmodified!
-    sd.setLossVariables("loss1")
-    var w1Before = w1.getArr.dup
-    var b1Before = b1.getArr.dup
-    var w2Before = w2.getArr.dup
-    var b2Before = b2.getArr.dup
-    val tc = TrainingConfig.builder.updater(new Adam(1e-2)).dataSetFeatureMapping("ph1", "ph2").markLabelsUnused.build
-    sd.setTrainingConfig(tc)
-    val mds = new MultiDataSet(Array[INDArray](Nd4j.rand(DataType.FLOAT, 3, 4), Nd4j.rand(DataType.FLOAT, 3, 2)),
-                               new Array[INDArray](0))
-    sd.fit(new SingletonMultiDataSetIterator(mds), 3)
-    assert(w1Before != w1.getArr)
-    assert(b1Before != b1.getArr)
-    assert(w2Before == w2.getArr)
-    assert(b2Before == b2.getArr)
-    //Train second side of graph; first side should be unmodified
-    sd.setLossVariables("loss2")
-    w1Before = w1.getArr.dup
-    b1Before = b1.getArr.dup
-    w2Before = w2.getArr.dup
-    b2Before = b2.getArr.dup
-    sd.fit(new SingletonMultiDataSetIterator(mds), 3)
-    assert(w1Before == w1.getArr)
-    assert(b1Before == b1.getArr)
-    assert(w2Before != w2.getArr)
-    assert(b2Before != b2.getArr)
-  }
-}
diff --git a/perform-release.sh b/perform-release.sh
index b42fc2616..2c7791f22 100755
--- a/perform-release.sh
+++ b/perform-release.sh
@@ -1,20 +1,24 @@
 #!/bin/bash
 
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
 #
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
 
 set -eu
 
diff --git a/pom.xml b/pom.xml
index e352fa5e7..5c01d6a4b 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1,20 +1,24 @@
 
 
-
+
 
 deeplearning4j
     Deeplearning4j Monorepo
-    http://deeplearning4j.org/
+    http://deeplearning4j.konduit.ai/
 
     
         
@@ -39,112 +43,22 @@
         
     
 
-    
-        
-            agibsonccc
-            Adam Gibson
-            adam@skymind.io
-        
-        
-            chrisvnicholson
-            Chris Nicholson
-            chris@skymind.io
-        
-        
-            jpatanooga
-            Josh Patterson
-        
-        
-            AlexDBlack
-            Alex Black
-        
-        
-            nyghtowl
-            Melanie Warrick
-        
-        
-            raver119
-            raver119
-        
-        
-            saudet
-            Samuel Audet
-        
-        
-            eraly
-            Susan Eraly
-        
-        
-            kepricon
-            Daehyun Kim
-        
-        
-            turambar
-            Dave kale
-        
-        
-            maxpumperla
-            Max Pumperla
-        
-        
-        
-            rubenfiszel
-            Ruben Fiszel
-        
-        
-            smarthi
-            Suneel Marthi
-        
-        
-            taisukeoe
-            Taisuke Oe
-        
-        
-            treo
-            Paul Dubs
-        
-        
-            EronWright
-            Eron Wright
-        
-        
-            jyt109
-            Jeffrey Tang
-        
-        
-            sonaliii
-            Sonali Dayal
-        
-        
-            emmjaykay
-            emmjaykay
-        
-        
-            crockpotveggies
-            Justin Long
-        
-    
+
 
     
         libnd4j
         nd4j
         datavec
         deeplearning4j
-        arbiter
-        nd4s
-        rl4j
-        scalnet
-        jumpy
-        pydatavec
-        pydl4j
         python4j
+        rl4j
     
 
     
-        scm:git://github.com:deeplearning4j/deeplearning4j.git
-        scm:git:git@github.com:deeplearning4j/deeplearning4j.git
+        scm:git://github.com:eclipse/deeplearning4j.git
+        scm:git:git@github.com:eclipse/deeplearning4j.git
         
-        git@github.com:deeplearning4j/deeplearning4j.git
+        git@github.com:eclipse/deeplearning4j.git
         HEAD
     
 
@@ -161,18 +75,6 @@
                 daily  
             
         
-        
-            maven-restlet
-            Public online Restlet repository
-            http://maven.restlet.org
-            
-                true
-            
-            
-                true
-                daily  
-            
-        
     
 
     
@@ -188,18 +90,6 @@
                 daily  
             
         
-        
-            maven-restlet
-            Public online Restlet repository
-            http://maven.restlet.org
-            
-                true
-            
-            
-                true
-                daily  
-            
-        
     
 
     
@@ -220,7 +110,11 @@
         1.7
         1.8
         1.8
-        UTF-8
+        UTF-8
+        ${encoding}
+        ${encoding}
+        ${encoding}
+        ${encoding}
 
         1.0.0-SNAPSHOT
         1.0.0-SNAPSHOT
@@ -228,7 +122,7 @@
         1.0.0-SNAPSHOT
         1.0.0-SNAPSHOT
         
-
+        2.2.21
         1.9.13
         5.1
         0.11.0
@@ -242,7 +136,6 @@
         4.5.3
         2.7.8
         3.19.0-GA
-        2.2.11
         0.7.1
         9.4.10.v20180503
         2.29
@@ -257,6 +150,7 @@
         3.1.0
         1.12
         1.1.2.6
+        
         5.1.1.RELEASE
         3.2
         3.4.2
@@ -279,9 +173,12 @@
         1.4.9
         0.9.10
         1.0
+        0.9.1
 
-        false     
-        false 
+        
+        false
+        
+        false
               
           
            
@@ -337,21 +234,25 @@
         2.10.3
         1.24
         2.8.7
-        1.18.12
+        1.18.16
         2.0.0
         7.7.1
         20131018
-        2.6.1
+        3.8.0
+        2.6.1
         false
-        2.2.0  
+        
+        2.2.0
         2.16.3
         3.4.6
         0.5.4
         3.0.5
         3.15.1
-        2.7.3    
+        
+        2.7.3
         2.0
-        28.0-jre
+        28.0-jre
+        28.0-android
         2.8.0
         1.2.0-3f79e055
         4.10.0
@@ -359,7 +260,8 @@
 
         1.10.0
         1.14.0
-        1.2
+        1.2
+        1.1.1
         2.3.0
 
         1.6
@@ -367,7 +269,7 @@
         3.0.1
         2.8.2
         2.5.3
-        3.7.0
+        3.8.1
         3.3.1
         3.0.1
         1.0.0
@@ -386,7 +288,14 @@
         
         3.2.1
         3.0.2
+        3.0.0
+        2.2
+        1.8
+        1.5.3
+        3.8.0
         2.2.6
+        1.6.0
+        2.3.1
 
         
         
@@ -406,10 +315,30 @@
         false
         false
         false
-        false
-         
+        
+        false
+        1.3.9-1
+
+        0.9.1
+        1.0.0
+        2.2.0
+        1.4.30
     
 
+    
+        
+            org.jetbrains.kotlin
+            kotlin-stdlib-jdk8
+            ${kotlin.version}
+        
+        
+            org.jetbrains.kotlin
+            kotlin-test
+            ${kotlin.version}
+            test
+        
+    
+
     
         
             
@@ -490,32 +419,234 @@
         
     
 
-
     
+        
+        
+            
+                
+                    org.apache.maven.plugins
+                    maven-compiler-plugin
+                    ${maven-compiler-plugin.version}
+                    
+                        ${maven.compiler.source}
+                        ${maven.compiler.target}
+                    
+                
+                
+                    org.apache.maven.plugins
+                    maven-enforcer-plugin
+                    1.4.1
+                    
+                        
+                            enforce-maven
+                            
+                                enforce
+                            
+                            
+                                
+                                    
+                                        3.3
+                                        Please install maven 3.3 or higher
+                                    
+                                
+                            
+                        
+                        
+                            enforce-excluded-dependencies
+                            
+                                enforce
+                            
+                            
+                                
+                                    
+                                        
+                                            org.projectlombok:*:*:*:compile
+                                        
+                                    
+                                
+                            
+                        
+                    
+                
+                
+                
+                    pl.project13.maven
+                    git-commit-id-plugin
+                    ${maven-git-commit-plugin.version}
+                    
+                        
+                            
+                                revision
+                            
+                            generate-resources
+                        
+                    
+                    
+                        true
+                        
+                            ${project.basedir}/target/generated-sources/src/main/resources/org/eclipse/${project.groupId}-${project.artifactId}-git.properties
+                        
+                        
+                            true
+                        
+                    
+                
+                
+                
+                    org.codehaus.mojo
+                    build-helper-maven-plugin
+                    ${maven-build-helper-plugin.version}
+                    
+                        
+                            add-resource
+                            generate-resources
+                            
+                                add-resource
+                            
+                            
+                                
+                                    
+                                        
+                                            ${project.basedir}/target/generated-sources/src/main/resources
+                                        
+                                    
+                                
+                            
+                        
+                    
+                
+                
+                    org.eclipse.m2e
+                    lifecycle-mapping
+                    1.0.0
+                    
+                        
+                            
+                                
+                                    
+                                        com.lewisd
+                                        lint-maven-plugin
+                                        [0.0.11,)
+                                        
+                                            check
+                                        
+                                    
+                                    
+                                        
+                                    
+                                
+                            
+                        
+                    
+                
+                
+                    net.revelc.code.formatter
+                    formatter-maven-plugin
+                    ${maven-formatter-plugin.version}
+                    
+                        
+                        ${session.executionRootDirectory}/../contrib/formatter.xml
+                    
+                
+            
+        
+
         
+            
+                org.apache.maven.plugins
+                maven-source-plugin
+                ${maven-source-plugin.version}
+                
+                    
+                        attach-sources
+                        
+                            jar-no-fork
+                        
+                    
+                
+            
             
                 org.apache.maven.plugins
                 maven-enforcer-plugin
                 1.4.1
+            
+            
+                org.apache.maven.plugins
+                maven-deploy-plugin
+                2.8.2
+                
+                    true
+                
+            
+            
+                org.sonatype.plugins
+                nexus-staging-maven-plugin
+                1.6.8
                 
                     
-                        enforce-maven
+                        default-deploy
+                        deploy
                         
-                            enforce
+                            deploy
+                        
+                    
+                
+                true
+                
+                    sonatype-nexus-snapshots
+                    https://oss.sonatype.org/
+                    true
+                
+            
+            
+                org.jetbrains.kotlin
+                kotlin-maven-plugin
+                ${kotlin.version}
+                
+                    
+                        compile
+                        compile
+                        
+                            compile
+                        
+                    
+                    
+                        test-compile
+                        test-compile
+                        
+                            test-compile
+                        
+                    
+                
+                
+                    1.8
+                
+            
+            
+                org.apache.maven.plugins
+                maven-compiler-plugin
+                
+                    
+                        default-compile
+                        none
+                    
+                    
+                        default-testCompile
+                        none
+                    
+                    
+                        compile
+                        compile
+                        
+                            compile
+                        
+                    
+                    
+                        testCompile
+                        test-compile
+                        
+                            testCompile
                         
-                        
-                            
-                                
-                                    3.3
-                                    Please install maven 3.3 or higher
-                                
-                                
-                                    
-                                        org.projectlombok:*:*:*:compile
-                                    
-                                
-                            
-                        
                     
                 
             
@@ -523,76 +654,6 @@
     
 
     
-
-        
-            doclint-java8-disable
-            
-                [1.8,)
-            
-            
-                
-                    
-                        maven-javadoc-plugin
-                        
-                            none
-                            false
-                        
-                    
-                
-            
-        
-        
-            sonatype-nexus
-            
-                
-                    local.software.repository
-                    sonatype
-                
-            
-            
-                
-                    sonatype-nexus-releases
-                    Nexus Release Repository
-                    http://oss.sonatype.org/service/local/staging/deploy/maven2/
-                
-                
-                    sonatype-nexus-snapshots
-                    Sonatype Nexus snapshot repository
-                    https://oss.sonatype.org/content/repositories/snapshots
-                
-            
-            
-                
-                    
-                        maven-deploy-plugin
-                        ${maven-deploy-plugin.version}
-                        
-                            true
-                        
-                    
-                    
-                        org.sonatype.plugins
-                        nexus-staging-maven-plugin
-                        1.6.6
-                        
-                            
-                                default-deploy
-                                deploy
-                                
-                                    deploy
-                                
-                            
-                        
-                        true
-                        
-                            sonatype-nexus-snapshots
-                            https://oss.sonatype.org/
-                            true
-                        
-                    
-                
-            
-        
         
         
             skipTestCompileAndRun
@@ -608,6 +669,7 @@
                 true
                 true
                 true
+                true
                 true
                 true
             
@@ -625,12 +687,11 @@
                 true
                 true
                 true
+                true
                 true
                 true
             
         
-        
-
         
         
             javacpp-platform-default
@@ -817,7 +853,6 @@
                 ${os.name}-${os.arch}
             
         
-
         
         
             linux
@@ -965,7 +1000,6 @@
                 x86_64
             
         
-
         
diff --git a/pydatavec/.gitignore b/pydatavec/.gitignore
deleted file mode 100644
index 6b7a57cff..000000000
--- a/pydatavec/.gitignore
+++ /dev/null
@@ -1,65 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-env/
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*,cover
-.hypothesis/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-target/
-
-#Ipython Notebook
-.ipynb_checkpoints
-
-# IDE settings
-.idea/
diff --git a/pydatavec/README.md b/pydatavec/README.md
deleted file mode 100644
index 4e3253447..000000000
--- a/pydatavec/README.md
+++ /dev/null
@@ -1,30 +0,0 @@
-# PyDataVec : Python interface for DataVec
-
-[![Join the chat at https://gitter.im/deeplearning4j/deeplearning4j](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/deeplearning4j/deeplearning4j?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
-[![PyPI version](https://badge.fury.io/py/pydatavec.svg)](https://badge.fury.io/py/pydatavec)
-
-## Installation
-
-```bash
-pip install pydatavec
-```
-
-## Examples
-
-Examples are in the [dl4j-examples repo](https://www.github.com/eclipse/deeplearning4j-examples)
-
-Clone dl4j-examples:
-
-```bash
-git clone https://www.github.com/eclipse/deeplearning4j-examples.git
-```
-
-Run examples in `pydatavec-examples` directory
-
-```bash
-cd deeplearning4j-examples/pydatavec-examples
-python basic.py
-python iris.py
-python reduction.py
-```
-
diff --git a/pydatavec/pom.xml b/pydatavec/pom.xml
deleted file mode 100644
index 5fea9d763..000000000
--- a/pydatavec/pom.xml
+++ /dev/null
@@ -1,174 +0,0 @@
-
-
-
-
-
-    
-        org.deeplearning4j
-        deeplearning4j
-        1.0.0-SNAPSHOT
-    
-
-    4.0.0
-
-    org.deeplearning4j
-    pydatavec
-    jar
-
-    pydatavec
-
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        false
-        0.1
-    
-
-    
-        
-            
-                org.apache.maven.plugins
-                maven-shade-plugin
-                3.1.0
-                
-                    
-                        package
-                        
-                            shade
-                        
-                        
-                            
-                                
-                                    org.deeplearning4j.example.App
-                                
-                            
-                        
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                3.1
-                
-                    1.8
-                    1.8
-                
-            
-            
-                org.apache.maven.plugins
-                maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
-            
-            
-                org.codehaus.mojo
-                exec-maven-plugin
-                
-                    
-                        python-install-cython
-                        install
-                        
-                            exec
-                        
-                        
-                            pip
-                            ${basedir}
-                            
-                                install
-                                --user
-                                Cython
-                                --install-option=--no-cython-compile
-                            
-                        
-                    
-                    
-                        python-build
-                        install
-                        
-                            exec
-                        
-                        
-                            pip
-                            ${basedir}
-                            
-                                install
-                                --user
-                                -e
-                                .[tests, spark]
-                            
-                        
-                    
-                    
-                        python-test
-                        test
-                        
-                            exec
-                        
-                        
-                            python
-                            ${basedir}
-                            ${pydatavec.test.skip}
-                            
-                                -m
-                                pytest
-                                --pep8
-                                -m
-                                pep8
-                                tests/
-                            
-                        
-                    
-                
-            
-        
-    
-
diff --git a/pydatavec/pydatavec/__init__.py b/pydatavec/pydatavec/__init__.py
deleted file mode 100644
index c6ab5aaa8..000000000
--- a/pydatavec/pydatavec/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .conditions import *
-from .schema import *
-from .transform_process import *
-from .utils import *
-from .executors import SparkExecutor
diff --git a/pydatavec/pydatavec/conditions.py b/pydatavec/pydatavec/conditions.py
deleted file mode 100644
index 33caa1719..000000000
--- a/pydatavec/pydatavec/conditions.py
+++ /dev/null
@@ -1,70 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-class Condition(object):
-
-    @property
-    def name(self):
-        return self.__class__.__name__
-
-
-class InSet(Condition):
-    def __init__(self, column, set):
-        self.column = column
-        self.set = set
-
-
-class NotInSet(Condition):
-    def __init__(self, column, set):
-        self.column = column
-        self.set = set
-
-
-class Equals(Condition):
-    def __init__(self, column, value):
-        self.column = column
-        self.value = value
-
-
-class NotEquals(Condition):
-    def __init__(self, column, value):
-        self.column = column
-        self.value = value
-
-
-class LessThan(Condition):
-    def __init__(self, column, value):
-        self.column = column
-        self.value = value
-
-
-class LessThanOrEqual(Condition):
-    def __init__(self, column, value):
-        self.column = column
-        self.value = value
-
-
-class GreaterThan(Condition):
-    def __init__(self, column, value):
-        self.column = column
-        self.value = value
-
-
-class GreaterThanOrEqual(Condition):
-    def __init__(self, column, value):
-        self.column = column
-        self.value = value
diff --git a/pydatavec/pydatavec/executors/__init__.py b/pydatavec/pydatavec/executors/__init__.py
deleted file mode 100644
index d17d8eab2..000000000
--- a/pydatavec/pydatavec/executors/__init__.py
+++ /dev/null
@@ -1,19 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from .spark import SparkExecutor
-from .local import LocalExecutor
diff --git a/pydatavec/pydatavec/executors/local.py b/pydatavec/pydatavec/executors/local.py
deleted file mode 100644
index 344c0c60b..000000000
--- a/pydatavec/pydatavec/executors/local.py
+++ /dev/null
@@ -1,78 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import os
-
-
-class Writable(object):
-
-    def __init__(self, j_w):
-        self.j_w = j_w
-
-    def save_to_csv(self, path):
-        from ..java_classes import NumberOfRecordsPartitioner
-        from ..java_classes import CSVRecordWriter
-        from ..java_classes import FileSplit, JFile
-
-        output_file = JFile(path)
-        if output_file.exists():
-            output_file.delete()
-        output_file.createNewFile()
-        rw = CSVRecordWriter()
-        rw.initialize(FileSplit(output_file), NumberOfRecordsPartitioner())
-        rw.writeBatch(self.j_w)
-        rw.close()
-
-    def save(self, path):
-        self.save_to_csv(path)
-
-    def __iter__(self):
-        rows = []
-        nr = self.j_w.size()
-        nc = self.j_w.get(0).size() if nr else 0
-        for i in range(nr):
-            row = self.j_w.get(i)
-            cols = [row.get(j).toString() for j in range(nc)]
-            rows.append(cols)
-        return iter(rows)
-
-    def iter(self):
-        return self.__iter__()
-
-
-class LocalExecutor(object):
-
-    def __init__(self):
-        from ..java_classes import CSVRecordReader
-        self.rr = CSVRecordReader(0, ',')
-
-        pass
-
-    def __call__(self, tp, source):
-        from ..java_classes import CSVRecordReader, WritablesToStringFunction, StringToWritablesFunction
-        from ..java_classes import FileSplit, JFile, ArrayList, LocalTransformExecutor
-
-        tp = tp.to_java()
-        assert type(source) is str
-        assert os.path.isfile(source)
-        f = JFile(source)
-        rr = self.rr
-        rr.initialize(FileSplit(f))
-        data = ArrayList()
-        while rr.hasNext():
-            data.add(rr.next())
-        processed_data = LocalTransformExecutor.execute(data, tp)
-        return Writable(processed_data)
diff --git a/pydatavec/pydatavec/executors/spark.py b/pydatavec/pydatavec/executors/spark.py
deleted file mode 100644
index db61a7121..000000000
--- a/pydatavec/pydatavec/executors/spark.py
+++ /dev/null
@@ -1,91 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import os
-import logging
-
-_JVM_RUNNING = False
-
-
-class StringRDD(object):
-
-    def __init__(self, java_rdd):
-        self.java_rdd = java_rdd
-
-    def __iter__(self):
-        jlist = self.java_rdd.collect()
-        size = jlist.size()
-        return iter([jlist.get(i) for i in range(size)])
-
-    def iter(self):
-        return self.__iter__()
-
-    def save(self, path):
-        self.java_rdd.saveAsTextFile(path)
-
-    def save_to_csv(self, path):
-        l = list(self)
-        with open(path, 'w') as f:
-            for x in l:
-                f.write(x + '\n')
-
-
-class SparkExecutor(object):
-
-    def __init__(self, master='local[*]', app_name='pydatavec'):
-        global _JVM_RUNNING
-        if not _JVM_RUNNING:
-            from ..java_classes import SparkConf, SparkContext, SparkTransformExecutor
-            from ..java_classes import CSVRecordReader, WritablesToStringFunction, StringToWritablesFunction
-            _JVM_RUNNING = True
-        spark_conf = SparkConf()
-        spark_conf.setMaster(master)
-        spark_conf.setAppName(app_name)
-        self.spark_context = SparkContext(spark_conf)
-        self.rr = CSVRecordReader()
-        self.executor = SparkTransformExecutor
-        self.str2wf = StringToWritablesFunction
-        self.w2strf = WritablesToStringFunction
-
-    def __call__(self, tp, source):
-        source_type = getattr(type(source), '__name__', None)
-        if source_type == 'str':
-            if os.path.isfile(source) or os.path.isdir(source):
-                string_data = self.spark_context.textFile(
-                    source)  # JavaRDD
-            else:
-                raise ValueError('Invalid source ' + source)
-        elif source_type == 'org.apache.spark.api.java.JavaRDD':
-            string_data = source
-        elif source_type.endswith('RDD'):
-            tempid = 0
-            path = 'temp_0'
-            while(os.path.isdir(path)):
-                tempid += 1
-                path = 'temp_' + str(tempid)
-            logging.info('Converting pyspark RDD to JavaRDD...')
-            source.saveAsTextFile(path)
-            string_data = self.spark_context.textFile(path)
-        else:
-            raise Exception('Unexpected source type: ' + str(type(source)))
-        parsed_input_data = string_data.map(
-            self.str2wf(self.rr))   # JavaRDD>
-        processed_data = self.executor.execute(
-            parsed_input_data, tp.to_java())  # JavaRDD>
-        processed_as_string = processed_data.map(
-            self.w2strf(","))  # JavaRDD
-        return StringRDD(processed_as_string)  # StringRDD
diff --git a/pydatavec/pydatavec/java_classes.py b/pydatavec/pydatavec/java_classes.py
deleted file mode 100644
index bd934779f..000000000
--- a/pydatavec/pydatavec/java_classes.py
+++ /dev/null
@@ -1,121 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import jnius_config
-import os
-import warnings
-import pydl4j
-
-pydl4j.validate_datavec_jars()
-
-
-# -------------JVM starts here-------------
-from jnius import autoclass
-
-JString = autoclass("java.lang.String")
-JSchema = autoclass('org.datavec.api.transform.schema.Schema')
-SchemaBuilder = autoclass('org/datavec/api/transform/schema/Schema$Builder')
-
-JTransformProcess = autoclass('org.datavec.api.transform.TransformProcess')
-TransformProcessBuilder = autoclass(
-    'org/datavec/api/transform/TransformProcess$Builder')
-
-ConditionOp = autoclass('org.datavec.api.transform.condition.ConditionOp')
-ConditionFilter = autoclass('org.datavec.api.transform.filter.ConditionFilter')
-
-BooleanColumnCondition = autoclass(
-    'org.datavec.api.transform.condition.column.BooleanColumnCondition')
-CategoricalColumnCondition = autoclass(
-    'org.datavec.api.transform.condition.column.CategoricalColumnCondition')
-DoubleColumnCondition = autoclass(
-    'org.datavec.api.transform.condition.column.DoubleColumnCondition')
-StringColumnCondition = autoclass(
-    'org.datavec.api.transform.condition.column.StringColumnCondition')
-
-
-BooleanWritable = autoclass('org.datavec.api.writable.BooleanWritable')
-IntegerWritable = autoclass('org.datavec.api.writable.IntWritable')
-LongWritable = autoclass('org.datavec.api.writable.LongWritable')
-FloatWritable = autoclass('org.datavec.api.writable.FloatWritable')
-DoubleWritable = autoclass('org.datavec.api.writable.DoubleWritable')
-
-
-DateTimeZone = autoclass('org.joda.time.DateTimeZone')
-DateTimeFieldType = autoclass('org.joda.time.DateTimeFieldType')
-DeriveColumnsFromTimeTransformBuilder = autoclass(
-    'org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform$Builder')
-
-
-Arrays = autoclass('java.util.Arrays')
-HashSet = autoclass('java.util.HashSet')
-
-
-JDouble = autoclass('java.lang.Double')
-JFloat = autoclass('java.lang.Float')
-
-Arrays = autoclass('java.util.Arrays')
-JMap = autoclass('java.util.HashMap')
-
-try:
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass(
-        'org.datavec.spark.transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass(
-        'org.datavec.spark.transform.misc.StringToWritablesFunction')
-    WritablesToStringFunction = autoclass(
-        'org.datavec.spark.transform.misc.WritablesToStringFunction')
-    spark_available = True
-except:
-    spark_available = False
-
-CSVRecordReader = autoclass(
-    'org.datavec.api.records.reader.impl.csv.CSVRecordReader')
-CSVRecordWriter = autoclass(
-    'org.datavec.api.records.writer.impl.csv.CSVRecordWriter')
-
-LocalTransformExecutor = autoclass(
-    'org.datavec.local.transforms.LocalTransformExecutor')
-
-ChangeCaseStringTransform = autoclass(
-    'org.datavec.api.transform.transform.string.ChangeCaseStringTransform')
-ChangeCaseStringTransformCaseType = autoclass(
-    'org.datavec.api.transform.transform.string.ChangeCaseStringTransform$CaseType')
-ConcatenateStringColumns = autoclass(
-    'org.datavec.api.transform.transform.string.ConcatenateStringColumns')
-RemoveWhiteSpaceTransform = autoclass(
-    'org.datavec.api.transform.transform.string.RemoveWhiteSpaceTransform')
-ReplaceEmptyStringTransform = autoclass(
-    'org.datavec.api.transform.transform.string.ReplaceEmptyStringTransform')
-ReplaceStringTransform = autoclass(
-    'org.datavec.api.transform.transform.string.ReplaceStringTransform')
-StringMapTransform = autoclass(
-    'org.datavec.api.transform.transform.string.StringMapTransform')
-
-
-ReducerBuilder = autoclass('org.datavec.api.transform.reduce.Reducer$Builder')
-ReduceOp = autoclass('org.datavec.api.transform.ReduceOp')
-
-
-FileSplit = autoclass('org.datavec.api.split.FileSplit')
-
-JFile = autoclass('java.io.File')
-ArrayList = autoclass('java.util.ArrayList')
-
-NumberOfRecordsPartitioner = autoclass(
-    'org.datavec.api.split.partition.NumberOfRecordsPartitioner')
diff --git a/pydatavec/pydatavec/schema.py b/pydatavec/pydatavec/schema.py
deleted file mode 100644
index 47a9e665c..000000000
--- a/pydatavec/pydatavec/schema.py
+++ /dev/null
@@ -1,102 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from collections import OrderedDict
-
-
-class Schema(object):
-
-    def __init__(self):
-        self.columns = OrderedDict()
-
-    def add_column(self, column_type, column_name, *args):
-        if column_name in self.columns:
-            raise Exception(
-                "Column names should be unique. Another column with name " + column_name + " already exists.")
-        self.columns[column_name] = [column_type] + list(args)
-
-    def add_string_column(self, column):
-        self.add_column("string", column)
-
-    def add_integer_column(self, column, *args):
-        self.add_column("integer", column, *args)
-
-    def add_long_column(self, column, *args):
-        self.add_column("long", column, *args)
-
-    def add_float_column(self, column, *args):
-        self.add_column("float", column, *args)
-
-    def add_double_column(self, column, *args):
-        self.add_column("double", column, *args)
-
-    def add_categorical_column(self, column, categories):
-        self.add_column("categorical", column, *categories)
-
-    def get_column_type(self, column):
-        return self.columns[column][0]
-
-    def serialize(self):
-        config = {}
-        meta = []
-        col_names = []
-        for k in self.columns:
-            meta.append(self.columns[k])
-            col_names.append(k)
-        config['column_names'] = col_names
-        config['meta'] = meta
-        return config
-
-    @classmethod
-    def deserialize(cls, config):
-        schema = cls()
-        col_names = config['column_names']
-        meta = config['meta']
-        for c, m in zip(col_names, meta):
-            schema.columns[c] = m
-        return schema
-
-    def to_java(self):
-        from .java_classes import SchemaBuilder, JString, JFloat, JDouble
-        builder = SchemaBuilder()
-        for c in self.columns:
-            meta = self.columns[c]
-            col_type = meta[0]
-            col_name = c
-            col_args = meta[1:]
-            if col_type == "string":
-                builder.addColumnString(JString(col_name))
-            elif col_type == "categorical":
-                col_args = [JString(arg) for arg in col_args]
-                builder.addColumnCategorical(JString(col_name), *col_args)
-            else:
-                # numerical data
-                num_type = col_type[0].upper() + col_type[1:]
-                f = getattr(builder, 'addColumn' + num_type)
-                col_args = list(col_args)
-                if num_type in ('Float', 'Double'):
-                    java_type = eval('J' + num_type)
-                    for i, a in enumerate(col_args):
-                        if type(a) in [int, float]:
-                            col_args[i] = java_type(a)
-                f(col_name, *col_args)
-        return builder.build()
-
-    def copy(self):
-        config = str(self.serialize())
-        clone = Schema.deserialize(eval(config))
-        return clone
diff --git a/pydatavec/pydatavec/transform_process.py b/pydatavec/pydatavec/transform_process.py
deleted file mode 100644
index b5ccd7620..000000000
--- a/pydatavec/pydatavec/transform_process.py
+++ /dev/null
@@ -1,447 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-from collections import OrderedDict
-from .conditions import *
-from .schema import Schema
-import warnings
-import logging
-from .java_classes import JString
-
-
-def _dq(x):
-    return "JString(\"" + x.replace("\"", "\\\"") + "\")"
-
-
-def _to_camel(x, first_upper=False):
-    tokens = x.split('_')
-    if first_upper:
-        y = ''
-        for t in tokens:
-            y += t[0].upper() + t[1:]
-    else:
-        y = tokens[0]
-        for t in tokens[1:]:
-            y += t[0].upper() + t[1:]
-    return y
-
-
-def _dict_to_jmap(d, JMap):
-    jmap = JMap()
-    for k, v in d.items():
-        jmap.put(k, v)
-    return jmap
-
-
-class TransformProcess(object):
-
-    def __init__(self, schema, inplace=True):
-        self.schema = schema
-        self.final_schema = schema.copy()
-        self.steps = []
-        self.executors = {}
-        self.inplace = inplace
-
-    def add_step(self, step, *args):
-        self.steps.append((step,) + args)
-
-    def remove_column(self, *columns):
-        if len(columns) == 1:
-            columns = columns[0]
-            if type(columns) in (list, tuple):
-                self.add_step("removeColumns", *columns)
-                for c in columns:
-                    del self.final_schema.columns[c]
-            else:
-                self.add_step("removeColumns", columns)
-                del self.final_schema.columns[columns]
-        else:
-            self.add_step("removeColumns", *columns)
-            for c in columns:
-                del self.final_schema.columns[c]
-        if not self.inplace:
-            return self
-
-    def remove_columns_except(self, *columns):
-        if len(columns) == 1:
-            columns = columns[0]
-            if type(columns) in (list, tuple):
-                self.add_step("removeAllColumnsExceptFor", *columns)
-                to_del = []
-                for c in self.final_schema.columns:
-                    if c not in columns:
-                        to_del.append(c)
-                for c in to_del:
-                    del self.final_schema.columns[c]
-            else:
-                self.add_step("removeAllColumnsExceptFor", columns)
-                to_del = []
-                for c in self.final_schema.columns:
-                    if c != columns:
-                        to_del.append(c)
-                for c in to_del:
-                    del self.final_schema.columns[c]
-        else:
-            self.add_step("removeAllColumnsExceptFor", *columns)
-            to_del = []
-            for c in self.final_schema.columns:
-                if c not in columns:
-                    to_del.append(c)
-            for c in to_del:
-                del self.final_schema.columns[c]
-        if not self.inplace:
-            return self
-
-    def filter(self, condition):
-        col_name = condition.column
-        col_type = self.final_schema.get_column_type(col_name)
-        col_type = col_type[0].upper() + col_type[1:]
-        if condition.name in ("InSet", "NotInSet"):
-            code = "filter(ConditionFilter({}ColumnCondition({}, ConditionOp.{}, HashSet(Arrays.asList({})))))"
-            code = code.format(col_type, _dq(col_name), condition.name, ','.join(
-                [_dq(x) for x in condition.set]))
-        else:
-            code = "filter(ConditionFilter({}ColumnCondition({}, ConditionOp.{}, {})"
-            code = code.format(col_type, _dq(col_name),
-                               condition.name, condition.value)
-        self.add_step("exec", code)
-        if not self.inplace:
-            return self
-
-    def replace(self, column, value, condition):
-        # there are 2 columns involved
-        # the column whose content we are replacing
-        # and the column against which the condition is written
-        column1_type = self.final_schema.get_column_type(column)
-        column1_type = column1_type[0].upper() + column1_type[1:]
-        column2 = condition.column
-        column2_type = self.final_schema.get_column_type(column2)
-        column2_type = column2_type[0].upper() + column2_type[1:]
-        if condition.name in ("InSet", "NotInSet"):
-            code = "conditionalReplaceValueTransform({}, {}Writable({}), {}ColumnCondition({}, ConditionOp.{}, HashSet(Arrays.asList({}))))"
-            code = code.format(_dq(column), column1_type, value, column2_type, _dq(
-                column2), condition.name, ','.join([_dq(x) for x in condition.set]))
-        else:
-            code = "conditionalReplaceValueTransform({}, {}Writable({}), {}ColumnCondition({}, ConditionOp.{}, {}))"
-            code = code.format(_dq(column), column1_type, value, column2_type, _dq(
-                column2), condition.name, condition.value)
-        self.add_step("exec", code)
-        if not self.inplace:
-            return self
-
-    def rename_column(self, column, new_name):
-        new_d = OrderedDict()
-        old_d = self.final_schema.columns
-        for k in old_d:
-            if k == column:
-                new_d[new_name] = old_d[k]
-            else:
-                new_d[k] = old_d[k]
-        self.final_schema.columns = new_d
-        self.add_step("renameColumn", JString(column), JString(new_name))
-        if not self.inplace:
-            return self
-
-    def string_to_time(self, column, format="YYY-MM-DD HH:mm:ss.SSS", time_zone="UTC"):
-        self.final_schema.columns[column][0] = "DateTime"
-        py_string = "stringToTimeTransform({}, {}, {})".format(_dq(column), _dq(format), "DateTimeZone." + time_zone)
-        self.add_step("exec", py_string)
-        if not self.inplace:
-            return self
-
-    def derive_column_from_time(self, source_column, new_column, field):
-        code = 'transform(DeriveColumnsFromTimeTransformBuilder({}).addIntegerDerivedColumn({}, DateTimeFieldType.{}()).build())'
-        code = code.format(_dq(source_column), _dq(
-            new_column), _to_camel(field))
-        self.add_step("exec", code)
-        self.final_schema.add_column("integer", new_column)
-        if not self.inplace:
-            return self
-
-    def categorical_to_integer(self, column):
-        if self.final_schema.columns[column][0] != 'categorical':
-            raise Exception('Can not apply categorical_to_integer'
-                            ' transform on column \"{}\" because it is not a categorcal column.'.format(column))
-        self.final_schema.columns[column][0] = 'integer'
-        self.add_step('categoricalToInteger', column)
-        if not self.inplace:
-            return self
-
-    def append_string(self, column, string):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply append_string transform to column {} because it is not a string column'.format(column))
-        self.add_step('appendStringColumnTransform', JString(column), JString(string))
-        if not self.inplace:
-            return self
-
-    def lower(self, column):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply lower transform to column {} because it is not a string column'.format(column))
-        self.add_step(
-            'exec', 'transform(ChangeCaseStringTransform({}, ChangeCaseStringTransformCaseType.LOWER))'.format(_dq(column)))
-        if not self.inplace:
-            return self
-
-    def upper(self, column):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply lower transform to column {} because it is not a string column'.format(column))
-        self.add_step(
-            'exec', 'transform(ChangeCaseStringTransform({}, ChangeCaseStringTransformCaseType.UPPER))'.format(_dq(column)))
-        if not self.inplace:
-            return self
-
-    def concat(self, columns, new_column=None, delimiter=','):
-        for column in columns:
-            if self.final_schema.columns[column][0] != 'string':
-                raise Exception(
-                    'Can not apply concat transform to column {} because it is not a string column'.format(column))
-        if new_column is None:
-            new_column = 'concat({})'.format(','.join(columns))
-        if new_column in self.final_schema.columns:
-            raise Exception(
-                'Another column with name {} already exists.'.format(new_column))
-        columns = [_dq(c) for c in columns]
-        self.final_schema.add_string_column(new_column)
-        self.add_step('exec', 'transform(ConcatenateStringColumns({}, {}, Arrays.asList({})))'.format(
-            _dq(new_column), _dq(delimiter), ', '.join(columns)))
-        if not self.inplace:
-            return self
-
-    def remove_white_spaces(self, column):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply remove_white_spaces transform to column {} because it is not a string column'.format(column))
-        self.add_step(
-            'exec', 'transform(RemoveWhiteSpaceTransform({}))'.format(_dq(column)))
-        if not self.inplace:
-            return self
-
-    def replace_empty_string(self, column, value):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply replace_empty_string transform to column {} because it is not a string column'.format(column))
-        self.add_step('exec', 'transform(ReplaceEmptyStringTransform({}, {}))'.format(
-            _dq(column), _dq(value)))
-        if not self.inplace:
-            return self
-
-    def replace_string(self, column, *args):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply replace_string transform to column {} because it is not a string column'.format(column))
-        if len(args) == 1:
-            args = args[0]
-            assert type(
-                args) is dict, 'Invalid argument. Possible signatures are replace(str, str, str) and replace(str, dict)'
-        elif len(args) == 2:
-            assert type(args[0]) == str and type(
-                args[1]) == str, 'Invalid argument. Possible signatures are replace(str, str, str) and replace(str, dict)'
-            args = {args[0]: args[1]}
-        else:
-            raise Exception(
-                'Invalid argument. Possible signatures are replace(str, str, str) and replace(str, dict)')
-        self.add_step('exec', 'transform(ReplaceStringTransform({}, _dict_to_jmap({}, JMap)))'.format(
-            _dq(column), str(args)))
-        if not self.inplace:
-            return self
-
-    def map_string(self, column, mapping):
-        if self.final_schema.columns[column][0] != 'string':
-            raise Exception(
-                'Can not apply replace_string transform to column {} because it is not a string column'.format(column))
-        self.add_step('exec', 'transform(StringMapTransform({}, _dict_to_jmap({}, JMap)))'.format(
-            _dq(column), str(mapping)))
-        if not self.inplace:
-            return self
-
-    def one_hot(self, column):
-        if self.final_schema.columns[column][0] != 'categorical':
-            raise Exception(
-                'Can not apply one_hot transform to column {} because it is not a categorical column'.format(column))
-        categories = self.final_schema.columns[column][2:]
-        new_col_names = [column + '[{}]'.format(cat) for cat in categories]
-        new_schema = OrderedDict()
-        for k in self.final_schema.columns:
-            if k == column:
-                for c in new_col_names:
-                    new_schema[c] = ['integer']
-            else:
-                new_schema[k] = self.final_schema.columns[k]
-        self.final_schema.columns = new_schema
-        self.add_step('categoricalToOneHot', column)
-        if not self.inplace:
-            return self
-
-    def reduce(self, key, *args, **kwargs):
-        # possible signatures:
-        # tp.reduce(column_name, default_redcution)  # example: tp.reduce('person', 'sum')  # sums all columns
-        # tp.reduce(column, {'amount' : 'sum', 'hours' : 'mean'}) # Explicit reduction for each columns
-        # tp.reduce(column, 'sum', {'hours' : 'mean'}) # Explicit reduction for some columns, default reduction for others
-        # tp.reduce(column, 'sum', 'hours'='mean')  # kwargs instead of dict
-        if type(key) is str:
-            key = [key]
-        else:
-            key = list(key)
-        non_key_columns = [
-            x for x in self.final_schema.columns if x not in key]
-        col_2_reduction = {}
-        if args:
-            if type(args[0]) is dict:
-                default = None
-                col_2_reduction = args[0]
-            else:
-                default = args[0]
-                if len(args) > 1:
-                    assert type(args[1]) == dict, 'Expected dict'
-                    col_2_reduction = args[1]
-                else:
-                    col_2_reduction = kwargs
-        else:
-            default = None
-            col_2_reduction = kwargs
-        reductions = ['min', 'max', 'sum', 'prod', 'mean', 'std', 'uncorrected_std',
-                      'var', 'pop_var', 'count', 'range', 'count_unique', 'first', 'last',
-                      'append', 'prepend']
-        if default is None:
-            for k in non_key_columns:
-                assert k in col_2_reduction, "Reduction not specified for column {}.".format(
-                    k)
-        else:
-            assert default in reductions, "Invalid default reduction {}. Valid redcutions are {}.".format(
-                default, reductions)
-        for k, v in col_2_reduction.items():
-            assert v in reductions, "Invalid redcution {} specified for column {}. Valid reductions are {}.".format(
-                v, k, reductions)
-        reduction_to_function = {'std': 'stdevColumns', 'uncorrected_std': 'uncorrectedStdevColumns', 'var': 'variance',
-                                 'pop_var': 'populationVariance', 'first': 'takeFirstColumns', 'last': 'takeLastColumns', 'max': 'maxColumn'}
-        if default is None:
-            default = col_2_reduction[list(col_2_reduction.keys())[0]]
-        reduction_to_op = {'std': 'Stdev', 'uncorrected_std': 'UncorrectedStdDev', 'var': 'Variance', 'pop_var': 'PopulationVariance',
-                           'first': 'TakeFirst', 'last': 'TakeLast'}
-        default_op = reduction_to_op.get(default, _to_camel(default, True))
-        col_2_function = {}
-        for k, v in col_2_reduction.items():
-            f = reduction_to_function.get(v, _to_camel(v) + 'Columns')
-            col_2_function[k] = f
-        code = 'reduce(ReducerBuilder(ReduceOp.{}).keyColumns({})'.format(
-            default_op, ','.join([_dq(k) for k in key]))
-        for c, f in col_2_function.items():
-            code += ".{}({})".format(f, _dq(c))
-        code += '.build())'
-        self.add_step('exec', code)
-        reduction_to_type = {}
-        for r in ['mean', 'std', 'var', 'pop_var', 'uncorrected_std']:
-            reduction_to_type[r] = 'double'
-        for r in ['append', 'prepend']:
-            reduction_to_type[r] = 'string'
-        for r in ['count', 'count_unique']:
-            reduction_to_type[r] = 'long'
-        new_schema = OrderedDict()
-        for k, v in self.final_schema.columns.items():
-            if k in key:
-                new_schema[k] = v
-            else:
-                reduction = col_2_reduction.get(k, default)
-                old_type = v[0]
-                op = reduction_to_op.get(reduction, _to_camel(default, True))
-                new_name = op.lower() + '(' + k + ')'
-                new_type = reduction_to_type.get(reduction, old_type)
-                new_schema[k] = [new_type, new_name]
-        self.final_schema.columns = new_schema
-        if not self.inplace:
-            return self
-
-    def serialize(self):
-        config = {'steps': self.steps, 'schema': self.schema.serialize()}
-        return config
-
-    @classmethod
-    def deserialize(cls, config):
-        schema = Schema.deserialize(config['schema'])
-        tp = cls(schema)
-        tp.steps = config['steps'][:]
-        return tp
-
-    # TODO from_java is used in konduit a lot
-    def to_java(self):
-        from .java_classes import TransformProcessBuilder
-        from .java_classes import ConditionOp
-        from .java_classes import ConditionFilter
-        from .java_classes import BooleanColumnCondition
-        from .java_classes import CategoricalColumnCondition
-        from .java_classes import DoubleColumnCondition
-        #from .java_classes import FloatColumnCondition
-        from .java_classes import StringColumnCondition
-        from .java_classes import DateTimeZone
-        from .java_classes import DeriveColumnsFromTimeTransformBuilder
-        from .java_classes import Arrays, HashSet
-        from .java_classes import BooleanWritable
-        from .java_classes import IntegerWritable
-        from .java_classes import LongWritable
-        from .java_classes import FloatWritable
-        from .java_classes import DoubleWritable
-        from .java_classes import DateTimeFieldType
-        from .java_classes import ChangeCaseStringTransform
-        from .java_classes import ChangeCaseStringTransformCaseType
-        from .java_classes import ConcatenateStringColumns
-        from .java_classes import RemoveWhiteSpaceTransform
-        from .java_classes import ReplaceEmptyStringTransform
-        from .java_classes import ReplaceStringTransform
-        from .java_classes import StringMapTransform
-        from .java_classes import JMap
-        from .java_classes import Arrays
-        from .java_classes import ReducerBuilder
-        from .java_classes import ReduceOp
-        from .java_classes import JString
-
-        jschema = self.schema.to_java()
-        builder = TransformProcessBuilder(jschema)
-        for step in self.steps:
-            if step[0] == "exec":
-                code = step[1]
-                logging.info(code)
-                exec("builder." + code)
-            else:
-                f = getattr(builder, step[0])
-                f(*step[1:])
-        return builder.build()
-
-    def __call__(self, csv, executor='spark'):
-        try:
-            executor = self.executors[executor]
-        except:
-            if executor == 'spark':
-                from .java_classes import spark_available
-                if not spark_available:
-                    warnings.warn(
-                        'Spark not available. Running local executor instead.')
-                    from .executors import LocalExecutor
-                    executor = LocalExecutor()
-                    self.executors['local'] = executor
-                    self.executors['spark'] = executor
-                else:
-                    from .executors import SparkExecutor
-                    executor = SparkExecutor()
-                    self.executors['spark'] = executor
-            if executor == 'local':
-                from .executors import LocalExecutor
-                executor = LocalExecutor()
-                self.executors['local'] = executor
-        return executor(self, csv)
diff --git a/pydatavec/pydatavec/utils.py b/pydatavec/pydatavec/utils.py
deleted file mode 100644
index ec84168d6..000000000
--- a/pydatavec/pydatavec/utils.py
+++ /dev/null
@@ -1,186 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-import os
-import requests
-import sys
-import time
-import math
-import logging
-import warnings
-
-def _mean(x):
-    s = float(sum(x))
-    s /= len(x)
-    return s
-
-
-class ProgressBar(object):
-    """Displays a progress bar.
-
-    # Arguments
-        target: Total number of steps expected, None if unknown.
-        interval: Minimum visual progress update interval (in seconds).
-    """
-
-    def __init__(self, target, width=30, verbose=1, interval=0.05):
-        self.width = width
-        if target is None:
-            target = -1
-        self.target = target
-        self.sum_values = {}
-        self.unique_values = []
-        self.start = time.time()
-        self.last_update = 0
-        self.interval = interval
-        self.total_width = 0
-        self.seen_so_far = 0
-        self.verbose = verbose
-
-    def set_value(self, current, values=None, force=False):
-        values = values or []
-        for k, v in values:
-            if k not in self.sum_values:
-                self.sum_values[k] = [v * (current - self.seen_so_far),
-                                      current - self.seen_so_far]
-                self.unique_values.append(k)
-            else:
-                self.sum_values[k][0] += v * (current - self.seen_so_far)
-                self.sum_values[k][1] += (current - self.seen_so_far)
-        self.seen_so_far = current
-
-        now = time.time()
-        if self.verbose == 1:
-            if not force and (now - self.last_update) < self.interval:
-                return
-
-            prev_total_width = self.total_width
-            sys.stdout.write('\b' * prev_total_width)
-            sys.stdout.write('\r')
-
-            if self.target is not -1:
-                numdigits = int(math.floor(math.log(self.target, 10))) + 1
-                barstr = '%%%dd/%%%dd [' % (numdigits, numdigits)
-                bar = barstr % (current, self.target)
-                prog = float(current) / self.target
-                prog_width = int(self.width * prog)
-                if prog_width > 0:
-                    bar += ('=' * (prog_width - 1))
-                    if current < self.target:
-                        bar += '>'
-                    else:
-                        bar += '='
-                bar += ('.' * (self.width - prog_width))
-                bar += ']'
-                sys.stdout.write(bar)
-                self.total_width = len(bar)
-
-            if current:
-                time_per_unit = (now - self.start) / current
-            else:
-                time_per_unit = 0
-            eta = time_per_unit * (self.target - current)
-            perc = float(current) * 100 / self.target
-            info = ''
-            if current < self.target and self.target is not -1:
-                info += ' - %f%%' % perc
-                info += ' - ETA: %ds' % eta
-            else:
-                info += ' - %ds' % (now - self.start)
-            for k in self.unique_values:
-                info += ' - %s:' % k
-                if isinstance(self.sum_values[k], list):
-                    avg = _mean(
-                        self.sum_values[k][0] / max(1, self.sum_values[k][1]))
-                    if abs(avg) > 1e-3:
-                        info += ' %.4f' % avg
-                    else:
-                        info += ' %.4e' % avg
-                else:
-                    info += ' %s' % self.sum_values[k]
-
-            self.total_width += len(info)
-            if prev_total_width > self.total_width:
-                info += ((prev_total_width - self.total_width) * ' ')
-
-            sys.stdout.write(info)
-            sys.stdout.flush()
-
-            if current >= self.target:
-                sys.stdout.write('\n')
-
-        if self.verbose == 2:
-            if current >= self.target:
-                info = '%ds' % (now - self.start)
-                for k in self.unique_values:
-                    info += ' - %s:' % k
-                    avg = _mean(
-                        self.sum_values[k][0] / max(1, self.sum_values[k][1]))
-                    if avg > 1e-3:
-                        info += ' %.4f' % avg
-                    else:
-                        info += ' %.4e' % avg
-                sys.stdout.write(info + "\n")
-
-        self.last_update = now
-
-    def update(self, n=1, values=None):
-        self.set_value(self.seen_so_far + n, values)
-
-
-def download_file(url, file_name):
-    r = requests.get(url, stream=True)
-    file_size = int(r.headers['Content-length'])
-    '''
-    if py3:
-        file_size = int(u.getheader("Content-Length")[0])
-    else:
-        file_size = int(u.info().getheaders("Content-Length")[0])
-    '''
-    file_exists = False
-    if os.path.isfile(file_name):
-        local_file_size = os.path.getsize(file_name)
-        if local_file_size == file_size:
-            file_exists = True
-        else:
-            warnings.warn("File corrupt. Downloading again.")
-            os.remove(file_name)
-    if not file_exists:
-        factor = int(math.floor(math.log(file_size)/math.log(1024)))
-        display_file_size = str(file_size / 1024 ** factor) + \
-            ['B', 'KB', 'MB', 'GB', 'TB', 'PB'][factor]
-        logging.info("Source: " + url)
-        logging.info("Destination " + file_name)
-        logging.info("Size: " + display_file_size)
-        file_size_dl = 0
-        block_sz = 8192
-        f = open(file_name, 'wb')
-        pbar = ProgressBar(file_size)
-        for chunk in r.iter_content(chunk_size=block_sz):
-            if not chunk:
-                continue
-            chunk_size = len(chunk)
-            file_size_dl += chunk_size
-            f.write(chunk)
-            pbar.update(chunk_size)
-            #status = r"%10d  [%3.2f%%]" % (file_size_dl, file_size_dl * 100. / file_size)
-            #status = status + chr(8)*(len(status)+1)
-            # print(status)
-        f.close()
-    else:
-        logging.info("File already exists - " + file_name)
-        return True
diff --git a/pydatavec/pytest.ini b/pydatavec/pytest.ini
deleted file mode 100644
index bca914c69..000000000
--- a/pydatavec/pytest.ini
+++ /dev/null
@@ -1,10 +0,0 @@
-[pytest]
-
-norecursedirs= build
-
-# PEP-8 The following are ignored:
-# E501 line too long (82 > 79 characters)
-# W503 line break occurred before a binary operator
-
-pep8ignore=* E501 \
-           * W503 
\ No newline at end of file
diff --git a/pydatavec/release.sh b/pydatavec/release.sh
deleted file mode 100755
index d769bc70d..000000000
--- a/pydatavec/release.sh
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/bin/bash
-
-# Note: this needs manual upgrading of version in setup.py to work (can't override old versions)
-
-# remove old wheels
-sudo rm -rf dist/*
-
-# Build Python 2 & 3 wheels for current version
-sudo python2 setup.py sdist bdist_wheel
-sudo python3 setup.py sdist bdist_wheel
-
-# Upload to PyPI with twine. Needs full "skymind" credentials in ~/.pypirc
-twine upload dist/*
\ No newline at end of file
diff --git a/pydatavec/setup.py b/pydatavec/setup.py
deleted file mode 100644
index db109b6dd..000000000
--- a/pydatavec/setup.py
+++ /dev/null
@@ -1,54 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-
-
-from setuptools import setup
-from setuptools import find_packages
-
-
-setup(name='pydatavec',
-      version='0.1.2',
-      description='Python interface for DataVec',
-      long_description='Python interface for DataVec',
-
-      classifiers=[
-          'Development Status :: 3 - Alpha',
-          'License :: OSI Approved :: Apache Software License',
-          'Operating System :: OS Independent',
-          'Programming Language :: Python',
-          'Programming Language :: Python :: 2',
-          'Programming Language :: Python :: 3',
-          'Topic :: Software Development :: Libraries'
-      ],
-      keywords='python java datavec etl deeplearning4j',
-      url='https://github.com/deeplearning4j/deeplearning4j.git',
-      license='Apache',
-      setup_requires=['Cython', 'pytest-runner'],
-      install_requires=[
-          'Cython',
-          'requests',
-          'pydl4j',
-          'numpy<=1.16.4',  # For compatibility with python 2
-      ],
-      extras_require={
-          'spark': ['pyspark'],
-          'tests': ['pytest',
-                    'pytest-pep8',
-                    'mock'],
-      },
-      packages=find_packages())
diff --git a/pydatavec/tests/basic_example.csv b/pydatavec/tests/basic_example.csv
deleted file mode 100644
index 4373a1491..000000000
--- a/pydatavec/tests/basic_example.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-2016-01-01 17:00:00.000,830a7u3,u323fy8902,1,USA,100.00,Legit
-2016-01-01 18:03:01.256,830a7u3,9732498oeu,3,FR,73.20,Legit
-2016-01-03 02:53:32.231,78ueoau32,w234e989,1,USA,1621.00,Fraud
-2016-01-03 09:30:16.832,t842uocd,9732498oeu,4,USA,43.19,Legit
-2016-01-04 23:01:52.920,t842uocd,cza8873bm,10,MX,159.65,Legit
-2016-01-05 02:28:10.648,t842uocd,fgcq9803,6,CAN,26.33,Fraud
-2016-01-05 10:15:36.483,rgc707ke3,tn342v7,2,USA,-0.90,Legit
diff --git a/pydatavec/tests/test_reduce.py b/pydatavec/tests/test_reduce.py
deleted file mode 100644
index 145cbe902..000000000
--- a/pydatavec/tests/test_reduce.py
+++ /dev/null
@@ -1,111 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-from pydatavec import Schema, TransformProcess
-
-
-def test_reduce_1():
-    reductions = ['sum', 'mean', 'std', 'var', 'prod']
-    for red in reductions:
-        schema = Schema()
-        schema.add_string_column('name')
-        schema.add_double_column('amount')
-        schema.add_integer_column('hours')
-
-        tp = TransformProcess(schema)
-        tp.reduce('name', red)
-
-        tp.to_java()
-
-
-def test_reduce_2():
-    reductions = ['sum', 'mean', 'std', 'var', 'prod']
-    for red1 in reductions:
-        for red2 in reductions:
-            schema = Schema()
-            schema.add_string_column('name')
-            schema.add_double_column('amount')
-            schema.add_integer_column('hours')
-
-            tp = TransformProcess(schema)
-            tp.reduce('name', red1, {'amount': red2})
-
-            tp.to_java()
-
-
-def test_reduce_3():
-    reductions = ['sum', 'mean', 'std', 'var', 'prod']
-    for red1 in reductions:
-        for red2 in reductions:
-            schema = Schema()
-            schema.add_string_column('name')
-            schema.add_double_column('amount')
-            schema.add_integer_column('hours')
-
-            tp = TransformProcess(schema)
-            tp.reduce('name', {'amount': red1, 'hours': red2})
-
-            tp.to_java()
-
-
-def test_reduce_4():
-    reductions = ['first', 'last', 'append',
-                  'prepend', 'count', 'count_unique']
-    for red in reductions:
-        schema = Schema()
-        schema.add_string_column('col1')
-        schema.add_string_column('col2')
-
-        tp = TransformProcess(schema)
-        tp.reduce('col1', red)
-
-        tp.to_java()
-
-
-def test_reduce_5():
-    reductions = ['first', 'last', 'append',
-                  'prepend', 'count', 'count_unique']
-    for red1 in reductions:
-        for red2 in reductions:
-            schema = Schema()
-            schema.add_string_column('col1')
-            schema.add_string_column('col2')
-            schema.add_string_column('col3')
-
-            tp = TransformProcess(schema)
-            tp.reduce('col1', red1, {'col3': red2})
-            tp.to_java()
-
-
-def test_reduce_6():
-    reductions = ['first', 'last', 'append',
-                  'prepend', 'count', 'count_unique']
-    for red1 in reductions:
-        for red2 in reductions:
-            schema = Schema()
-            schema.add_string_column('col1')
-            schema.add_string_column('col2')
-            schema.add_string_column('col3')
-
-            tp = TransformProcess(schema)
-            tp.reduce('col1', {'col2': red1, 'col3': red2})
-
-            tp.to_java()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydatavec/tests/test_schema.py b/pydatavec/tests/test_schema.py
deleted file mode 100644
index c08ef4058..000000000
--- a/pydatavec/tests/test_schema.py
+++ /dev/null
@@ -1,37 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-from pydatavec import Schema
-
-
-def test_schema():
-    schema = Schema()
-    schema.add_string_column('str1')
-    schema.add_string_column('str2')
-    schema.add_integer_column('int1')
-    schema.add_integer_column('int2')
-    schema.add_double_column('dbl1')
-    schema.add_double_column('dbl2')
-    schema.add_float_column('flt1')
-    schema.add_float_column('flt2')
-    schema.add_categorical_column('cat1', ['A', 'B', 'C'])
-    schema.add_categorical_column('cat2', ['A', 'B', 'C'])
-    schema.to_java()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydatavec/tests/test_transform_process.py b/pydatavec/tests/test_transform_process.py
deleted file mode 100644
index 34cf2b251..000000000
--- a/pydatavec/tests/test_transform_process.py
+++ /dev/null
@@ -1,166 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-from pydatavec import Schema, TransformProcess
-
-
-def test_rename():
-    schema = Schema()
-    schema.add_string_column('str1')
-
-    tp = TransformProcess(schema)
-    tp.rename_column('str1', 'str2')
-
-    assert 'str1' not in tp.final_schema.columns
-    assert 'str2' in tp.final_schema.columns
-
-    tp.to_java()
-
-
-def test_remove():
-    schema = Schema()
-    schema.add_string_column('str1')
-    schema.add_string_column('str2')
-
-    tp = TransformProcess(schema)
-    tp.remove_column('str1')
-
-    assert list(tp.final_schema.columns.keys()) == ['str2']
-
-    tp.to_java()
-
-
-def test_remove_except():
-    schema = Schema()
-    schema.add_string_column('str1')
-    schema.add_string_column('str2')
-    schema.add_string_column('str3')
-
-    tp = TransformProcess(schema)
-    tp.remove_columns_except('str2')
-
-    assert list(tp.final_schema.columns.keys()) == ['str2']
-
-    tp.to_java()
-
-
-def test_str_to_time():
-    schema = Schema()
-    schema.add_string_column('str1')
-    schema.add_string_column('str2')
-
-    tp = TransformProcess(schema)
-
-    tp.string_to_time('str1')
-
-    assert tp.final_schema.get_column_type('str1') == 'DateTime'
-
-    tp.to_java()
-
-
-def test_derive_col_from_time():
-    schema = Schema()
-    schema.add_string_column('str1')
-    schema.add_string_column('str2')
-
-    tp = TransformProcess(schema)
-
-    tp.string_to_time('str1')
-    tp.derive_column_from_time('str1', 'hour', 'hour_of_day')
-
-    assert 'hour' in tp.final_schema.columns
-
-    tp.to_java()
-
-
-def test_cat_to_int():
-    schema = Schema()
-    schema.add_categorical_column('cat', ['A', 'B', 'C'])
-
-    tp = TransformProcess(schema)
-    tp.categorical_to_integer('cat')
-
-    assert tp.final_schema.get_column_type('cat') == 'integer'
-
-    tp.to_java()
-
-
-def test_append_string():
-    schema = Schema()
-    schema.add_string_column('str1')
-
-    tp = TransformProcess(schema)
-    tp.append_string('str1', 'xxx')
-
-    tp.to_java()
-
-
-def test_lower():
-    schema = Schema()
-    schema.add_string_column('str1')
-
-    tp = TransformProcess(schema)
-    tp.lower('str1')
-
-    tp.to_java()
-
-
-def test_upper():
-    schema = Schema()
-    schema.add_string_column('str1')
-
-    tp = TransformProcess(schema)
-    tp.upper('str1')
-
-    tp.to_java()
-
-
-def test_concat():
-    schema = Schema()
-    schema.add_string_column('str1')
-    schema.add_string_column('str2')
-
-    tp = TransformProcess(schema)
-    tp.concat(['str1', 'str2'], 'str3')
-
-    assert 'str3' in tp.final_schema.columns
-
-    tp.to_java()
-
-
-def test_remove_white_spaces():
-    schema = Schema()
-    schema.add_string_column('str1')
-
-    tp = TransformProcess(schema)
-    tp.remove_white_spaces('str1')
-
-    tp.to_java()
-
-
-def test_replace_empty():
-    schema = Schema()
-    schema.add_string_column('str1')
-
-    tp = TransformProcess(schema)
-    tp.replace_empty_string('str1', 'xx')
-
-    tp.to_java()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/.gitignore b/pydl4j/.gitignore
deleted file mode 100644
index f173b9aba..000000000
--- a/pydl4j/.gitignore
+++ /dev/null
@@ -1,107 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-.hypothesis/
-.pytest_cache/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# pyenv
-.python-version
-
-# celery beat schedule file
-celerybeat-schedule
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-
-# Intellij
-pydl4j.iml
\ No newline at end of file
diff --git a/pydl4j/README.md b/pydl4j/README.md
deleted file mode 100644
index 2211b019f..000000000
--- a/pydl4j/README.md
+++ /dev/null
@@ -1,188 +0,0 @@
-# PyDL4J - Java dependency management for Python applications
-
-[![Join the chat at https://gitter.im/deeplearning4j/deeplearning4j](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/deeplearning4j/deeplearning4j?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
-[![PyPI version](https://badge.fury.io/py/pydl4j.svg)](https://badge.fury.io/py/pydl4j)
-
-PyDL4J is a lightweight package manager for the DL4J ecosystem which allows you to focus
-on building Python applications on top of `pyjnius` without worrying about the details. You
-can use PyDL4J for the following tasks:
-
-- Automatically manage JARs for your Python projects, such as `jumpy` or `pydatavec`.
-- Configure your Python DL4J environment through the PyDL4J command line interface,
-- Use PyDL4J as a replacement for Maven for basic tasks, from Python.
-
----------
-
-
-# Installation
-
-PyDL4J is on PyPI, so you can install it with `pip`:
-
-```bash
-pip install pydl4j
-```
-
-Alternatively, you can build the project locally as follows:
-
-```bash
-git clone https://www.github.com/eclipse/deeplearning4j.git
-cd deeplearning4j/pydl4j
-python setup.py install
-```
-
-As regular user, this will likely be enough for your needs. In fact, most of the time you
-will not interact with PyDL4J directly at all. All other Python projects maintained by
-Skymind use PyDL4J under the hood and will install this dependency for you.
-
-# PyDL4J command line interface (CLI)
-
-Installing PyDL4J exposes a command line tool called `pydl4j`. You can use this tool to configure
-your PyDL4J environment. If you don't use the CLI, a default configuration will be used instead.
-
-**Note:** If you intend to use the CLI, make sure to have [`docker` installed](https://docs.docker.com/install/)
-on your machine.
-
-To initialize a new PyDL4J configuration, type
-
-```bash
-pydl4j init
-
-
-██████╗ ██╗   ██╗██████╗ ██╗██╗  ██╗     ██╗
-██╔══██╗╚██╗ ██╔╝██╔══██╗██║██║  ██║     ██║
-██████╔╝ ╚████╔╝ ██║  ██║██║███████║     ██║
-██╔═══╝   ╚██╔╝  ██║  ██║██║╚════██║██   ██║
-██║        ██║   ██████╔╝███████╗██║╚█████╔╝
-╚═╝        ╚═╝   ╚═════╝ ╚══════╝╚═╝ ╚════╝
-
-pydl4j is a system to manage your DL4J dependencies from Python!
-
-Which DL4J version do you want to use for your Python projects? (default '1.0.0-beta2'):
-```
-
-Follow the instructions provided by the CLI. At the end of this process you'll see a
-JSON object carrying your configuration.
-
-```bash
-This is your current settings file config.json:
-
-{
-    "dl4j_core": true,
-    "nd4j_backend": "cpu",
-    "spark_version": "2",
-    "datavec": false,
-    "spark": true,
-    "scala_version": "2.11",
-    "dl4j_version": "1.0.0-beta2"
-}
-
-Does this look good? (default 'y')[y/n]:
-
-```
-
-If not configured otherwise, this configuration file will be stored at `~/.deeplearning4j/pydl4j/config.json`. This
-configuration file is a lightweight version for Python users to avoid the cognitive load of the widely used
-Project Object Model (POM) widely used in Java. PyDL4J will translate your configuration into the right format
-internally to provide you with the tools you need.
-
-Finally, to install the Java dependencies configured in your `config.json` you use the following command:
-
-```bash
-pydl4j install
-```
-
-This tool will install all necessary JARs into `~/.deeplearning4j/pydl4j` for you, by running `mvn` in a
-Docker container, and setting your classpath so that your `pyjnius` Python applications can access them.
-
-# PyDL4J API
-
-# Example
-
-```python
-import pydl4j
-import jnius_config
-from pydl4j import mvn
-
-pydl4j.set_context('my_python_app_name')
-
-# Fetch latest version of datavec.datavec-api from Maven central
-pydl4j.mvn_install(group='datavec', artifact='datavec-api')
-
-# Or fetch a specific version:
-pydl4j.mvn_install(group='datavec', artifact='datavec-api',
-                   version='1.0.0-beta')
-
-jnius_config.set_classpath(pydl4j.get_dir())
-```
-
-# List all artifacts in a group
-
-```python
-mvn.get_artifacts(group_id)
-```
-
-# Example
-
-```python
-mvn.get_artifacts('datavec')
-```
-
-```bash
-['datavec-api', 'datavec-arrow', 'datavec-camel', 'datavec-cli', 'datavec-data', 'datavec-data-audio', 'datavec-data-codec', 'datavec-d
- ata-image', 'datavec-data-nlp', 'datavec-dataframe', 'datavec-excel', 'datavec-geo', 'datavec-hadoop', 'datavec-jdbc', 'datavec-local',
- 'datavec-nd4j-common', 'datavec-parent', 'datavec-perf', 'datavec-spark-inference-client', 'datavec-spark-inference-model', 'datavec-s
- park-inference-parent', 'datavec-spark-inference-server_2.10', 'datavec-spark-inference-server_2.11', 'datavec-spark_2.10', 'datavec-sp
- ark_2.11']
-```
-
-# List all versions of an artifact
-
-```python
-mvn.get_versions(group_id, artifact_id)
-```
-
-# Example
-
-```python
-mvn.get_versions('datavec', 'datavec-api')
-```
-
-```bash
-['0.4.0', '0.5.0', '0.6.0', '0.7.0', '0.7.1', '0.7.2', '0.8.0',
-    '0.9.0', '0.9.1', '1.0.0-alpha', '1.0.0-beta', '1.0.0-beta2']
-```
-
-# Get latest version of an artifact
-
-```python
-mvn.get_latest_version(group_id, artifact_id)
-```
-
-# Example
-
-```python
-mvn.get_latest_version('datavec', 'datavec-api')
-```
-
-```bash
-'1.0.0-beta2'
-```
-
-# List all installed jars
-
-```python
-pydl4j.get_jars()
-```
-
-# Uninstall a jar
-
-```python
-# Find jar name from pydl4j.get_jars()
-pydl4j.uninstall(jar_name)
-```
-
-# Uninstall all jars:
-
-```python
-pydl4j.clear_context()
-```
diff --git a/pydl4j/pom.xml b/pydl4j/pom.xml
deleted file mode 100644
index 279c57e07..000000000
--- a/pydl4j/pom.xml
+++ /dev/null
@@ -1,197 +0,0 @@
-
-
-
-
-
-    
-        org.deeplearning4j
-        deeplearning4j
-        1.0.0-SNAPSHOT
-    
-
-    4.0.0
-
-    org.deeplearning4j
-    pydl4j
-    jar
-
-    pydl4j
-
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        false
-        0.1.3
-        nd4j-native
-    
-
-    
-        
-            org.nd4j
-            ${nd4j.backend}
-            ${dl4j.version}
-        
-    
-
-    
-        
-            
-                org.apache.maven.plugins
-                maven-shade-plugin
-                3.1.0
-                
-                    
-                        package
-                        
-                            shade
-                        
-                        
-                            
-                                
-                                    org.deeplearning4j.example.App
-                                
-                            
-                        
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                3.1
-                
-                    1.8
-                    1.8
-                
-            
-            
-                org.apache.maven.plugins
-                maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
-            
-            
-                org.codehaus.mojo
-                exec-maven-plugin
-                
-                    
-                        python-install-cython
-                        install
-                        
-                            exec
-                        
-                        
-                            pip
-                            ${basedir}
-                            
-                                install
-                                --user
-                                Cython
-                                --install-option=--no-cython-compile
-                            
-                        
-                    
-                    
-                        python-build
-                        install
-                        
-                            exec
-                        
-                        
-                            pip
-                            ${basedir}
-                            
-                                install
-                                --user
-                                -e
-                                .[tests]
-                            
-                        
-                    
-                    
-                        python-test
-                        test
-                        
-                            exec
-                        
-                        
-                            python
-                            ${basedir}
-                            ${pydl4j.test.skip}
-                            
-                                -m
-                                pytest
-                                --pep8
-                                -m
-                                pep8
-                                tests/
-                            
-                        
-                    
-                
-            
-        
-    
-
-    
-        
-            nd4j-backend
-            
-                
-                    libnd4j.cuda
-                
-            
-            
-                nd4j-cuda-${libnd4j.cuda}
-            
-        
-    
-
diff --git a/pydl4j/pydl4j/__init__.py b/pydl4j/pydl4j/__init__.py
deleted file mode 100644
index 93b939101..000000000
--- a/pydl4j/pydl4j/__init__.py
+++ /dev/null
@@ -1,19 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .pydl4j import *
-from .jarmgr import *
-from .mvn import *
diff --git a/pydl4j/pydl4j/cli.py b/pydl4j/pydl4j/cli.py
deleted file mode 100644
index f48d4e01e..000000000
--- a/pydl4j/pydl4j/cli.py
+++ /dev/null
@@ -1,208 +0,0 @@
-#!/usr/bin python
-
-# -*- coding: utf-8 -*-
-
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import argparse
-import json
-import os
-import sys
-import pkg_resources
-import argcomplete
-import traceback
-import subprocess
-import click
-from click.exceptions import ClickException
-from dateutil import parser
-
-from .pydl4j import set_config, get_config
-from .pydl4j import validate_config, is_docker_available
-from .pydl4j import _maven_build
-
-
-if sys.version_info[0] == 2:
-    input = raw_input
-
-
-_CONFIG = get_config()
-
-DEFAULT_DL4J_VERSION = _CONFIG['dl4j_version']
-DEFAULT_BACKEND = _CONFIG['nd4j_backend']
-DEFAULT_DATAVEC = _CONFIG['datavec']
-DEFAULT_SPARK = _CONFIG['spark']
-DEFAULT_SPARK_MAJOR = _CONFIG['spark_version']
-DEFAULT_SCALA_VERSION = _CONFIG['scala_version']
-DEFAULT_SPARK_DETAILS = 'y'
-
-
-def to_bool(string):
-    if type(string) is bool:
-        return string
-    return True if string[0] in ["Y", "y"] else False
-
-
-class CLI(object):
-
-    def __init__(self):
-        self.var_args = None
-        self.command = None
-
-    def command_dispatcher(self, args=None):
-        desc = ('pydl4j,  a system to manage your DL4J dependencies from Python.\n')
-        parser = argparse.ArgumentParser(description=desc)
-        parser.add_argument(
-            '-v', '--version', action='version',
-            version=pkg_resources.get_distribution("pydl4j").version,
-            help='Print pydl4j version'
-        )
-
-        subparsers = parser.add_subparsers(title='subcommands', dest='command')
-        subparsers.add_parser('init', help='Initialize pydl4j')
-        subparsers.add_parser('install', help='Install jars for pydl4j')
-
-        argcomplete.autocomplete(parser)
-        args = parser.parse_args(args)
-        self.var_args = vars(args)
-
-        if not args.command:
-            parser.print_help()
-            return
-
-        self.command = args.command
-
-        if self.command == 'init':
-            self.init()
-            return
-
-        if self.command == 'install':
-            self.install()
-            return
-
-    def init(self):
-
-        click.echo(click.style(u"""\n██████╗ ██╗   ██╗██████╗ ██╗██╗  ██╗     ██╗
-██╔══██╗╚██╗ ██╔╝██╔══██╗██║██║  ██║     ██║
-██████╔╝ ╚████╔╝ ██║  ██║██║███████║     ██║
-██╔═══╝   ╚██╔╝  ██║  ██║██║╚════██║██   ██║
-██║        ██║   ██████╔╝███████╗██║╚█████╔╝
-╚═╝        ╚═╝   ╚═════╝ ╚══════╝╚═╝ ╚════╝ \n""", fg='blue', bold=True))
-
-        click.echo(click.style("pydl4j", bold=True) +
-                   " is a system to manage your DL4J dependencies from Python!\n")
-
-        # DL4J version
-        dl4j_version = input("Which DL4J version do you want to use for your Python projects? (default '%s'): " %
-                             DEFAULT_DL4J_VERSION) or DEFAULT_DL4J_VERSION
-        # TODO: check if input is valid
-
-        # ND4J backend
-        backend = input("Which backend would you like to use ('cpu' or 'gpu')? (default '%s'): " %
-                        DEFAULT_BACKEND) or DEFAULT_BACKEND
-        backend = backend.lower()
-
-        # DataVec usage
-        datavec = input(
-            "Do you need DL4J DataVec for ETL? (default 'y') [y/n]: ") or DEFAULT_DATAVEC
-        datavec = to_bool(datavec)
-
-        # DL4J core usage
-        DEFAULT_DL4J = 'y'
-        dl4j_core = input(
-            "Do you want to work with DeepLearning4J from Python? (default 'y') [y/n]: ") or DEFAULT_DL4J
-        dl4j_core = to_bool(dl4j_core)
-
-        # Spark
-        spark = input(
-            "Do you need Spark for distributed computation in your application? (default 'y') [y/n]: ") or DEFAULT_SPARK
-        spark = to_bool(spark)
-        spark_version = DEFAULT_SPARK_MAJOR
-        scala_version = DEFAULT_SCALA_VERSION
-        if spark:
-            spark_details = input("We use Spark {} and Scala {} by default, is this OK for you? (default 'y') [y/n]: ".format(DEFAULT_SPARK_MAJOR,
-                                                                                                                              DEFAULT_SCALA_VERSION)) or DEFAULT_SPARK_DETAILS
-            if not spark_details[0] in ["Y", "y"]:
-                spark_version = input("Which which major Spark release would you like to use? (default '%s'): " %
-                                      DEFAULT_SPARK_MAJOR) or DEFAULT_SPARK_MAJOR
-                scala_version = input("Which Scala version would you like to use? (default '%s'): " %
-                                      DEFAULT_SCALA_VERSION) or DEFAULT_SCALA_VERSION
-
-        cli_out = {
-            'dl4j_version': dl4j_version,
-            'nd4j_backend': backend,
-            'dl4j_core': dl4j_core,
-            'datavec': datavec,
-            'spark': spark,
-            'spark_version': spark_version,
-            'scala_version': scala_version
-        }
-
-        validate_config(cli_out)
-        formatted_json = json.dumps(cli_out, sort_keys=False, indent=2)
-
-        click.echo("\nThis is your current settings file " +
-                   click.style("config.json", bold=True) + ":\n")
-        click.echo(click.style(formatted_json, fg="green", bold=True))
-
-        confirm = input(
-            "\nDoes this look good? (default 'y') [y/n]: ") or 'yes'
-        if not to_bool(confirm):
-            click.echo(
-                "" + click.style("Please initialize pydl4j once again", fg="red", bold=True))
-            return
-
-        set_config(cli_out)
-
-    def install(self):
-        if is_docker_available():
-            use_docker = input(
-                "Docker available on your system. Would you like to use docker for installation> (default 'y')[y/n]: ") or 'yes'
-            if to_bool(use_docker):
-                click.echo(click.style(
-                    "Docker is running, starting installation.", fg="green", bold=True))
-                click.echo(click.style("========\n\nNote that this might take some time to complete.\n" +
-                                       "We will first pull a docker container with Maven, then install all dependencies selected with 'pydl4j init'.\n" +
-                                       "After completion you can start using DL4J from Python.\n\n========", fg="green", bold=False))
-                _maven_build(use_docker=True)
-            else:
-                click.echo(click.style("========\n\nNote that this might take some time to complete.\n" +
-                                       "After completion you can start using DL4J from Python.\n\n========", fg="green", bold=False))
-
-                _maven_build(use_docker=False)
-        else:
-            click.echo(
-                "" + click.style("Could not detect docker on your system.", fg="red", bold=True))
-            click.echo(click.style("========\n\nNote that this might take some time to complete.\n" +
-                                   "After completion you can start using DL4J from Python.\n\n========", fg="green", bold=False))
-
-            _maven_build(use_docker=False)
-
-
-def handle():
-    try:
-        cli = CLI()
-        sys.exit(cli.command_dispatcher())
-    except KeyboardInterrupt:
-        sys.exit()
-    except Exception as e:
-        click.echo(click.style("Error: ", fg='red', bold=True))
-        traceback.print_exc()
-        sys.exit()
-
-
-if __name__ == '__main__':
-    handle()
diff --git a/pydl4j/pydl4j/docker.py b/pydl4j/pydl4j/docker.py
deleted file mode 100644
index f75c3f5b3..000000000
--- a/pydl4j/pydl4j/docker.py
+++ /dev/null
@@ -1,33 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2018 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-
-def docker_file():
-    return """FROM java:openjdk-8-jdk
-ENV MAVEN_VERSION 3.3.9
-
-RUN curl -fsSL http://archive.apache.org/dist/maven/maven-3/$MAVEN_VERSION/binaries/apache-maven-$MAVEN_VERSION-bin.tar.gz | tar xzf - -C /usr/share \
-  && mv /usr/share/apache-maven-$MAVEN_VERSION /usr/share/maven \
-  && ln -s /usr/share/maven/bin/mvn /usr/bin/mvn
-
-ENV MAVEN_HOME /usr/share/maven
-
-# Copy application to container
-RUN mkdir -p app
-WORKDIR /app
-
-CMD ["mvn", "package"]
-"""
diff --git a/pydl4j/pydl4j/downloader.py b/pydl4j/pydl4j/downloader.py
deleted file mode 100644
index a634013e5..000000000
--- a/pydl4j/pydl4j/downloader.py
+++ /dev/null
@@ -1,83 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .progressbar import ProgressBar
-import requests
-import math
-import os
-import hashlib
-
-
-def download(url, file_name):
-    r = requests.get(url, stream=True)
-    file_size = int(r.headers['Content-length'])
-    '''
-    if py3:
-        file_size = int(u.getheader("Content-Length")[0])
-    else:
-        file_size = int(u.info().getheaders("Content-Length")[0])
-    '''
-    file_exists = False
-    if os.path.isfile(file_name):
-        local_file_size = os.path.getsize(file_name)
-        if local_file_size == file_size:
-            sha1_file = file_name + '.sha1'
-            if os.path.isfile(sha1_file):
-                print('sha1 found')
-                with open(sha1_file) as f:
-                    expected_sha1 = f.read()
-                BLOCKSIZE = 65536
-                sha1 = hashlib.sha1()
-                with open(file_name) as f:
-                    buff = f.read(BLOCKSIZE)
-                    while len(buff) > 0:
-                        sha1.update(buff)
-                        buff = f.read(BLOCKSIZE)
-                if expected_sha1 == sha1:
-                    file_exists = True
-                else:
-                    print("File corrupt. Downloading again.")
-                    os.remove(file_name)
-            else:
-                file_exists = True
-        else:
-            print("File corrupt. Downloading again.")
-            os.remove(file_name)
-    if not file_exists:
-        factor = int(math.floor(math.log(file_size) / math.log(1024)))
-        display_file_size = str(file_size / 1024 ** factor) + \
-            ['B', 'KB', 'MB', 'GB', 'TB', 'PB'][factor]
-        print("Source: " + url)
-        print("Destination " + file_name)
-        print("Size: " + display_file_size)
-        file_size_dl = 0
-        block_sz = 8192
-        f = open(file_name, 'wb')
-        pbar = ProgressBar(file_size)
-        for chunk in r.iter_content(chunk_size=block_sz):
-            if not chunk:
-                continue
-            chunk_size = len(chunk)
-            file_size_dl += chunk_size
-            f.write(chunk)
-            pbar.update(chunk_size)
-            # status = r"%10d  [%3.2f%%]" % (file_size_dl, file_size_dl * 100. / file_size)
-            # status = status + chr(8)*(len(status)+1)
-            # print(status)
-        f.close()
-    else:
-        print("File already exists - " + file_name)
-        return True
diff --git a/pydl4j/pydl4j/jarmgr.py b/pydl4j/pydl4j/jarmgr.py
deleted file mode 100644
index 0424c2ffa..000000000
--- a/pydl4j/pydl4j/jarmgr.py
+++ /dev/null
@@ -1,185 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .downloader import download as download_file
-from .mvn import *
-import requests
-import json
-import os
-
-
-def mkdir(x):
-    if not os.path.isdir(x):
-        os.mkdir(x)
-
-
-_CONTEXT_NAME = None
-_CONTEXT_DIR = None
-_USER_PATH = os.path.expanduser('~')
-_DL4J_DIR = os.path.join(_USER_PATH, '.deeplearning4j')
-mkdir(_DL4J_DIR)
-_MY_DIR = os.path.join(_DL4J_DIR, 'pydl4j')
-mkdir(_MY_DIR)
-
-_URLS_FILE = os.path.join(_MY_DIR, 'urls.json')
-if os.path.isfile(_URLS_FILE):
-    with open(_URLS_FILE, 'r') as f:
-        _URLS = json.load(f)
-else:
-    _URLS = {}
-
-
-def _write_urls():
-    with open(_URLS_FILE, 'w') as f:
-        json.dump(_URLS, f)
-
-
-_cache = {}
-
-
-def _read(url):
-    text = _cache.get(url)
-    if text is None:
-        text = requests.get(url).text
-        if not text:
-            raise Exception('Empty response. Check connectivity.')
-        _cache[url] = text
-    return text
-
-
-def _parse_contents(text):
-    contents = text.split('
        ')[1]
-    contents = contents.split('
        ')[0]
-    contents = contents.split('')[1]
-    contents = contents.split('
        ')[0]
-    contents = contents.split('
-            org.deeplearning4j
-            deeplearning4j-core
-            ${project.version}
-        """
-
-
-def spark_dependencies():
-    return """
-            org.deeplearning4j
-            dl4j-spark-parameterserver_{scala.binary.version}
-            {dl4j.spark.version}
-        """
-
-
-def datavec_dependencies():
-    return """
-            org.datavec
-            datavec-api
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-local
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-arrow
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-camel
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-excel
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-geo
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-hadoop
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-jdbc
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-perf
-            ${project.version}
-        
-        
-            org.datavec
-            datavec-spark_{scala.binary.version}
-            {dl4j.spark.version}
-        
-"""
-
-
-def pom_template():
-    return """
-
-
-
-
-
-    4.0.0
-    org.deeplearning4j
-    pydl4j
-    {dl4j.version}
-    jar
-
-    pydl4j
-
-    
-        3.0.0
-        1.5.4
-        1.5.4
-        0.3.10
-    
-
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        
-            org.bytedeco
-            openblas-platform
-            ${openblas.version}-${javacpp-presets.version}
-        
-        
-            org.nd4j
-            {nd4j.platform.backend}
-            ${project.version}
-        
-        
-            org.nd4j
-            {nd4j.backend}
-            ${project.version}
-            linux-x86_64
-        
-        
-            org.nd4j
-            {nd4j.backend}
-            ${project.version}
-            windows-x86_64
-        
-        {dl4j.core.dependencies}
-        {spark.dependencies}
-        {datavec.dependencies}
-        
-            ch.qos.logback
-            logback-classic
-            1.2.3
-        
-    
-
-    
-        
-            snapshots-repo
-            https://oss.sonatype.org/content/repositories/snapshots
-            
-                false
-            
-            
-                true
-                daily  
-            
-        
-    
-
-    
-        
-            
-                org.apache.maven.plugins
-                maven-shade-plugin
-                ${maven-shade-plugin.version}
-                
-                    true
-                    bin
-                    true
-                    
-                        
-                            *:*
-                            
-                                org/datanucleus/**
-                                META-INF/*.SF
-                                META-INF/*.DSA
-                                META-INF/*.RSA
-                            
-                        
-                    
-                
-                
-                    
-                        package
-                        
-                            shade
-                        
-                        
-                            
-                                
-                                    reference.conf
-                                
-                                
-                                
-                                
-                            
-                        
-                    
-                
-            
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                3.1
-                
-                    1.8
-                    1.8
-                
-            
-            
-                org.apache.maven.plugins
-                maven-jar-plugin
-                
-                    true
-                
-                
-                    
-                        empty-javadoc-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            false
-                            javadoc
-                            ${basedir}/javadoc
-                        
-                    
-                    
-                        empty-sources-jar
-                        package
-                        
-                            jar
-                        
-                        
-                            sources
-                            ${basedir}/src
-                        
-                    
-                
-            
-        
-    
-
-
-
-    """
diff --git a/pydl4j/pydl4j/progressbar.py b/pydl4j/pydl4j/progressbar.py
deleted file mode 100644
index 185f9e673..000000000
--- a/pydl4j/pydl4j/progressbar.py
+++ /dev/null
@@ -1,136 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import sys
-import time
-import math
-
-
-def _mean(x):
-    return float(sum(x)) / len(x)
-
-
-class ProgressBar(object):
-    """Displays a progress bar.
-
-    # Arguments
-        target: Total number of steps expected, None if unknown.
-        interval: Minimum visual progress update interval (in seconds).
-    """
-
-    def __init__(self, target, width=30, verbose=1, interval=0.05):
-        self.width = width
-        if target is None:
-            target = -1
-        self.target = target
-        self.sum_values = {}
-        self.unique_values = []
-        self.start = time.time()
-        self.last_update = 0
-        self.interval = interval
-        self.total_width = 0
-        self.seen_so_far = 0
-        self.verbose = verbose
-
-    def set_value(self, current, values=None, force=False):
-        values = values or []
-        for k, v in values:
-            if k not in self.sum_values:
-                self.sum_values[k] = [v * (current - self.seen_so_far),
-                                      current - self.seen_so_far]
-                self.unique_values.append(k)
-            else:
-                self.sum_values[k][0] += v * (current - self.seen_so_far)
-                self.sum_values[k][1] += (current - self.seen_so_far)
-        self.seen_so_far = current
-
-        now = time.time()
-        if self.verbose == 1:
-            if not force and (now - self.last_update) < self.interval:
-                return
-
-            prev_total_width = self.total_width
-            sys.stdout.write('\b' * prev_total_width)
-            sys.stdout.write('\r')
-
-            if self.target is not -1:
-                numdigits = int(math.floor(math.log(self.target, 10))) + 1
-                barstr = '%%%dd/%%%dd [' % (numdigits, numdigits)
-                bar = barstr % (current, self.target)
-                prog = float(current) / self.target
-                prog_width = int(self.width * prog)
-                if prog_width > 0:
-                    bar += ('=' * (prog_width - 1))
-                    if current < self.target:
-                        bar += '>'
-                    else:
-                        bar += '='
-                bar += ('.' * (self.width - prog_width))
-                bar += ']'
-                sys.stdout.write(bar)
-                self.total_width = len(bar)
-
-            if current:
-                time_per_unit = (now - self.start) / current
-            else:
-                time_per_unit = 0
-            eta = time_per_unit * (self.target - current)
-            perc = float(current) * 100 / self.target
-            info = ''
-            if current < self.target and self.target is not -1:
-                info += ' - %f%%' % perc
-                info += ' - ETA: %ds' % eta
-            else:
-                info += ' - %ds' % (now - self.start)
-            for k in self.unique_values:
-                info += ' - %s:' % k
-                if isinstance(self.sum_values[k], list):
-                    avg = _mean(
-                        self.sum_values[k][0] / max(1, self.sum_values[k][1]))
-                    if abs(avg) > 1e-3:
-                        info += ' %.4f' % avg
-                    else:
-                        info += ' %.4e' % avg
-                else:
-                    info += ' %s' % self.sum_values[k]
-
-            self.total_width += len(info)
-            if prev_total_width > self.total_width:
-                info += ((prev_total_width - self.total_width) * ' ')
-
-            sys.stdout.write(info)
-            sys.stdout.flush()
-
-            if current >= self.target:
-                sys.stdout.write('\n')
-
-        if self.verbose == 2:
-            if current >= self.target:
-                info = '%ds' % (now - self.start)
-                for k in self.unique_values:
-                    info += ' - %s:' % k
-                    avg = _mean(
-                        self.sum_values[k][0] / max(1, self.sum_values[k][1]))
-                    if avg > 1e-3:
-                        info += ' %.4f' % avg
-                    else:
-                        info += ' %.4e' % avg
-                sys.stdout.write(info + "\n")
-
-        self.last_update = now
-
-    def update(self, n=1, values=None):
-        self.set_value(self.seen_so_far + n, values)
diff --git a/pydl4j/pydl4j/pydl4j.py b/pydl4j/pydl4j/pydl4j.py
deleted file mode 100644
index 4180fcf68..000000000
--- a/pydl4j/pydl4j/pydl4j.py
+++ /dev/null
@@ -1,353 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from .jarmgr import *
-from .jarmgr import _MY_DIR
-from .pom import *
-from .docker import docker_file
-import platform
-import os
-import warnings
-import os
-from subprocess import call as py_call
-import json
-
-
-def call(arglist):
-    error = py_call(arglist)
-    if error:
-        raise Exception('Subprocess error for command: ' + str(arglist))
-
-
-_CONFIG_FILE = os.path.join(_MY_DIR, 'config.json')
-
-
-# Default config
-_CONFIG = {
-    'dl4j_version': '1.0.0-SNAPSHOT',
-    'dl4j_core': True,
-    'datavec': True,
-    'spark': True,
-    'spark_version': '2',
-    'scala_version': '2.11',
-    'nd4j_backend': 'cpu',
-    'validate_jars': True
-}
-
-
-def _is_sub_set(config1, config2):
-    # check if config1 is a subset of config2
-    # if config1 < config2, then we can use config2 jar
-    # for config1 as well
-    if config1['dl4j_version'] != config1['dl4j_version']:
-        return False
-    if config1['dl4j_core'] > config2['dl4j_core']:
-        return False
-    if config1['nd4j_backend'] != config2['nd4j_backend']:
-        return False
-    if config1['datavec']:
-        if not config2['datavec']:
-            return False
-        if config1['spark'] > config2['spark']:
-            return False
-        if config1['spark_version'] != config2['spark_version']:
-            return False
-        if config1['scala_version'] != config2['scala_version']:
-            return False
-    return True
-
-
-def _write_config(filepath=None):
-    if not filepath:
-        filepath = _CONFIG_FILE
-    with open(filepath, 'w') as f:
-        json.dump(_CONFIG, f)
-
-
-if os.path.isfile(_CONFIG_FILE):
-    with open(_CONFIG_FILE, 'r') as f:
-        _CONFIG.update(json.load(f))
-else:
-    _write_config()
-
-
-def set_config(config):
-    _CONFIG.update(config)
-    _write_config()
-
-
-def get_config():
-    return _CONFIG
-
-
-def validate_config(config=None):
-    if config is None:
-        config = _CONFIG
-    valid_options = {
-        'spark_version': ['1', '2'],
-        'scala_version': ['2.10', '2.11'],
-        'nd4j_backend': ['cpu', 'gpu']
-    }
-    for k, vs in valid_options.items():
-        v = config.get(k)
-        if v is None:
-            raise KeyError('Key not found in config : {}.'.format(k))
-        if v not in vs:
-            raise ValueError(
-                'Invalid value {} for key {} in config. Valid values are: {}.'.format(v, k, vs))
-
-    # spark 2 does not work with scala 2.10
-    if config['spark_version'] == '2' and config['scala_version'] == '2.10':
-        raise ValueError(
-            'Scala 2.10 does not work with spark 2. Set scala_version to 2.11 in pydl4j config. ')
-
-
-def _get_context_from_config(config=None):
-    if not config:
-        config = _CONFIG
-    # e.g pydl4j-1.0.0-SNAPSHOT-cpu-core-datavec-spark2-2.11
-
-    context = 'pydl4j-{}'.format(config['dl4j_version'])
-    context += '-' + config['nd4j_backend']
-    if config['dl4j_core']:
-        context += '-core'
-    if config['datavec']:
-        context += '-datavec'
-        if config['spark']:
-            spark_version = config['spark_version']
-            scala_version = config['scala_version']
-            context += '-spark' + spark_version + '-' + scala_version
-    return context
-
-
-def _get_config_from_context(context):
-    config = {}
-    backends = ['cpu', 'gpu']
-    for b in backends:
-        if '-' + b in context:
-            config['nd4j_backend'] = b
-            config['dl4j_version'] = context.split('-' + b)[0][len('pydl4j-'):]
-            break
-    config['dl4j_core'] = '-core' in context
-    set_defs = False
-    if '-datavec' in context:
-        config['datavec'] = True
-        if '-spark' in context:
-            config['spark'] = True
-            sp_sc_ver = context.split('-spark')[1]
-            sp_ver, sc_ver = sp_sc_ver.split('-')
-            config['spark_version'] = sp_ver
-            config['scala_version'] = sc_ver
-        else:
-            config['spark'] = False
-            set_defs = True
-    else:
-        config['datavec'] = False
-        set_defs = True
-    if set_defs:
-        config['spark_version'] = '2'
-        config['scala_version'] = '2.11'
-    validate_config(config)
-    return config
-
-
-set_context(_get_context_from_config())
-
-
-def create_pom_from_config():
-    config = get_config()
-    pom = pom_template()
-    dl4j_version = config['dl4j_version']
-    nd4j_backend = config['nd4j_backend']
-    use_spark = config['spark']
-    scala_version = config['scala_version']
-    spark_version = config['spark_version']
-    use_dl4j_core = config['dl4j_core']
-    use_datavec = config['datavec']
-
-    datavec_deps = datavec_dependencies() if use_datavec else ""
-    pom = pom.replace('{datavec.dependencies}', datavec_deps)
-
-    core_deps = dl4j_core_dependencies() if use_dl4j_core else ""
-    pom = pom.replace('{dl4j.core.dependencies}', core_deps)
-
-    spark_deps = spark_dependencies() if use_spark else ""
-    pom = pom.replace('{spark.dependencies}', spark_deps)
-
-    pom = pom.replace('{dl4j.version}', dl4j_version)
-
-    if nd4j_backend == 'cpu':
-        platform_backend = "nd4j-native-platform"
-        backend = "nd4j-native"
-    else:
-        platform_backend = "nd4j-cuda-9.2-platform"
-        platform_backend = "nd4j-cuda-9.2"
-
-    pom = pom.replace('{nd4j.backend}', backend)
-    pom = pom.replace('{nd4j.platform.backend}', platform_backend)
-
-    if use_spark:
-        pom = pom.replace('{scala.binary.version}', scala_version)
-        # this naming convention seems a little off
-        if "SNAPSHOT" in dl4j_version:
-            dl4j_version = dl4j_version.replace("-SNAPSHOT", "")
-            dl4j_spark_version = dl4j_version + "_spark_" + spark_version + "-SNAPSHOT"
-        else:
-            dl4j_spark_version = dl4j_version + "_spark_" + spark_version
-        pom = pom.replace('{dl4j.spark.version}', dl4j_spark_version)
-
-    # TODO replace if exists
-    pom_xml = os.path.join(_MY_DIR, 'pom.xml')
-    with open(pom_xml, 'w') as pom_file:
-        pom_file.write(pom)
-
-
-def docker_build():
-    docker_path = os.path.join(_MY_DIR, 'Dockerfile')
-    docker_string = docker_file()
-    with open(docker_path, 'w') as f:
-        f.write(docker_string)
-
-    call(["docker", "build", _MY_DIR, "-t", "pydl4j"])
-
-
-def docker_run():
-    create_pom_from_config()
-    py_call(["docker", "run", "--mount", "src=" +
-             _MY_DIR + ",target=/app,type=bind", "pydl4j"])
-    # docker will build into /target, need to move to context dir
-    context_dir = get_dir()
-    config = get_config()
-    dl4j_version = config['dl4j_version']
-    jar_name = "pydl4j-{}-bin.jar".format(dl4j_version)
-    base_target_dir = os.path.join(_MY_DIR, "target")
-    source = os.path.join(base_target_dir, jar_name)
-    target = os.path.join(context_dir, jar_name)
-    _write_config(os.path.join(context_dir, 'config.json'))
-    if os.path.isfile(target):
-        os.remove(target)
-    os.rename(source, target)
-
-
-def is_docker_available():
-    devnull = open(os.devnull, 'w')
-    try:
-        py_call(["docker", "--help"], stdout=devnull, stderr=devnull)
-        return True
-    except Exception:
-        return False
-
-
-def _maven_build(use_docker):
-    if use_docker:
-        docker_build()
-        docker_run()
-    else:
-        create_pom_from_config()
-        pom_xml = os.path.join(_MY_DIR, 'pom.xml')
-        command = 'mvn clean install -f ' + pom_xml
-        os.system(command)
-        version = _CONFIG['dl4j_version']
-        jar_name = "pydl4j-{}-bin.jar".format(version)
-        source = os.path.join(_MY_DIR, 'target', jar_name)
-        target = os.path.join(get_dir(), jar_name)
-        if os.path.isfile(target):
-            os.remove(target)
-        os.rename(source, target)
-
-
-def maven_build():
-    if is_docker_available():
-        print("Docker available. Starting build...")
-        _maven_build(use_docker=True)
-    else:
-        warnings.warn(
-            "Docker unavailable. Attempting alternate implementation.")
-        _maven_build(use_docker=False)
-
-
-def validate_jars():
-    if not _CONFIG['validate_jars']:
-        return
-    # builds jar if not available for given context
-    jars = get_jars()
-    dl4j_version = _CONFIG['dl4j_version']
-    jar = "pydl4j-{}-bin.jar".format(dl4j_version)
-    if jar not in jars:
-        # jar not found
-        # but its possible a jar exists in a different
-        # context. If that context is a "super set" of
-        # of the current one, we can use its jar!
-        original_context = context()
-        contexts = _get_all_contexts()
-        found_super_set_jar = False
-        for c in contexts:
-            config = _get_config_from_context(c)
-            if _is_sub_set(_CONFIG, config):
-                set_context(c)
-                jars = get_jars()
-                if jar in jars:
-                    found_super_set_jar = True
-                    break
-        if not found_super_set_jar:
-            set_context(original_context)
-            print("pdl4j: required uberjar not found, building with docker...")
-            maven_build()
-
-
-def validate_nd4j_jars():
-    validate_jars()
-
-
-def validate_datavec_jars():
-    if not _CONFIG['datavec']:
-        _CONFIG['datavec'] = True
-        _write_config()
-        context = _get_context_from_config()
-        set_context(context)
-    validate_jars()
-
-
-def _get_all_contexts():
-    c = os.listdir(_MY_DIR)
-    return [x for x in c if x.startswith('pydl4j')]
-
-
-def set_jnius_config():
-    try:
-        import jnius_config
-        path = get_dir()
-        if path[-1] == '*':
-            jnius_config.add_classpath(path)
-        elif os.path.isfile(path):
-            jnius_config.add_classpath(path)
-        else:
-            path = os.path.join(path, '*')
-            jnius_config.add_classpath(path)
-    # Further options can be set by individual projects
-    except ImportError:
-        warnings.warn('Pyjnius not installed.')
-
-
-def add_classpath(path):
-    try:
-        import jnius_config
-        jnius_config.add_classpath(path)
-    except ImportError:
-        warnings.warn('Pyjnius not installed.')
-
-
-set_jnius_config()
diff --git a/pydl4j/pytest.ini b/pydl4j/pytest.ini
deleted file mode 100644
index d4f1ab57b..000000000
--- a/pydl4j/pytest.ini
+++ /dev/null
@@ -1,10 +0,0 @@
-[pytest]
-
-norecursedirs = build
-
-# PEP-8 The following are ignored:
-# E501 line too long (82 > 79 characters)
-# W503 line break occurred before a binary operator
-
-pep8ignore = * E501 \
-    * W503
diff --git a/pydl4j/release.sh b/pydl4j/release.sh
deleted file mode 100755
index 77c898e5d..000000000
--- a/pydl4j/release.sh
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/bin/bash
-
-# Note: this needs manual upgrading of version in setup.py to work (can't override old versions)
-
-# remove old wheels
-sudo rm - rf dist/*
-
-# Build Python 2 & 3 wheels for current version
-sudo python2 setup.py sdist bdist_wheel
-sudo python3 setup.py sdist bdist_wheel
-
-# Upload to PyPI with twine. Needs full "skymind" credentials in ~/.pypirc
-twine upload dist/*
diff --git a/pydl4j/setup.py b/pydl4j/setup.py
deleted file mode 100644
index f60437c84..000000000
--- a/pydl4j/setup.py
+++ /dev/null
@@ -1,48 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-from setuptools import setup
-from setuptools import find_packages
-
-setup(
-    name='pydl4j',
-    version='0.1.5',
-    packages=find_packages(),
-    install_requires=['Cython', 'pyjnius', 'requests',
-                      'click', 'argcomplete', 'python-dateutil'],
-    extras_require={
-        'tests': ['pytest', 'pytest-pep8', 'pytest-cov']
-    },
-    include_package_data=True,
-    license='Apache',
-    description='Java dependency management for Python projects using DL4J',
-    url='https://github.com/deeplearning4j/pydl4j',
-    entry_points={
-        'console_scripts': [
-            'pydl4j=pydl4j.cli:handle'
-        ]
-    },
-    classifiers=[
-        'Development Status :: 3 - Alpha',
-        'Intended Audience :: Developers',
-        'Environment :: Console',
-        'License :: OSI Approved :: Apache Software License',
-        'Operating System :: OS Independent',
-        'Programming Language :: Python',
-        'Programming Language :: Python :: 2',
-        'Programming Language :: Python :: 3'
-    ]
-)
diff --git a/pydl4j/tests/basic_example.csv b/pydl4j/tests/basic_example.csv
deleted file mode 100644
index fed539b30..000000000
--- a/pydl4j/tests/basic_example.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-2016-01-01 17:00:00.000,830a7u3,u323fy8902,1,USA,100.00,Legit
-2016-01-01 18:03:01.256,830a7u3,9732498oeu,3,FR,73.20,Legit
-2016-01-03 02:53:32.231,78ueoau32,w234e989,1,USA,1621.00,Fraud
-2016-01-03 09:30:16.832,t842uocd,9732498oeu,4,USA,43.19,Legit
-2016-01-04 23:01:52.920,t842uocd,cza8873bm,10,MX,159.65,Legit
-2016-01-05 02:28:10.648,t842uocd,fgcq9803,6,CAN,26.33,Fraud
-2016-01-05 10:15:36.483,rgc707ke3,tn342v7,2,USA,-0.90,Legit
diff --git a/pydl4j/tests/build_tests/basic_example.csv b/pydl4j/tests/build_tests/basic_example.csv
deleted file mode 100644
index 4373a1491..000000000
--- a/pydl4j/tests/build_tests/basic_example.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-2016-01-01 17:00:00.000,830a7u3,u323fy8902,1,USA,100.00,Legit
-2016-01-01 18:03:01.256,830a7u3,9732498oeu,3,FR,73.20,Legit
-2016-01-03 02:53:32.231,78ueoau32,w234e989,1,USA,1621.00,Fraud
-2016-01-03 09:30:16.832,t842uocd,9732498oeu,4,USA,43.19,Legit
-2016-01-04 23:01:52.920,t842uocd,cza8873bm,10,MX,159.65,Legit
-2016-01-05 02:28:10.648,t842uocd,fgcq9803,6,CAN,26.33,Fraud
-2016-01-05 10:15:36.483,rgc707ke3,tn342v7,2,USA,-0.90,Legit
diff --git a/pydl4j/tests/build_tests/test_build_1.py b/pydl4j/tests/build_tests/test_build_1.py
deleted file mode 100644
index 781fbce32..000000000
--- a/pydl4j/tests/build_tests/test_build_1.py
+++ /dev/null
@@ -1,74 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import pydl4j
-import os
-
-
-def _spark_test():
-    from jnius import autoclass
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass('org.datavec.spark.'
-                                       'transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'StringToWritablesFunction')
-    WritablesToStringFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'WritablesToStringFunction')
-
-    spark_conf = SparkConf()
-    spark_conf.setMaster('local[*]')
-    spark_conf.setAppName('test')
-
-    spark_context = SparkContext(spark_conf)
-    source = 'basic_example.csv'
-    assert os.path.isfile(source)
-    string_data = spark_context.textFile(source)
-
-
-def test_build():
-    _CONFIG = {
-        'dl4j_version': '1.0.0-SNAPSHOT',
-        'dl4j_core': True,
-        'datavec': True,
-        'spark': True,
-        'spark_version': '2',
-        'scala_version': '2.11',
-        'nd4j_backend': 'cpu'
-    }
-
-    my_dir = pydl4j.jarmgr._MY_DIR
-
-    if os.path.isdir(my_dir):
-        os.remove(my_dir)
-
-    pydl4j.set_config(_CONFIG)
-
-    pydl4j.maven_build()
-
-    import jumpy as jp
-
-    assert jp.zeros((3, 2)).numpy().sum() == 0
-
-    _spark_test()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/build_tests/test_build_2.py b/pydl4j/tests/build_tests/test_build_2.py
deleted file mode 100644
index 673b8ac86..000000000
--- a/pydl4j/tests/build_tests/test_build_2.py
+++ /dev/null
@@ -1,74 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import pydl4j
-import os
-
-
-def _spark_test():
-    from jnius import autoclass
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass('org.datavec.spark.'
-                                       'transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'StringToWritablesFunction')
-    WritablesToStringFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'WritablesToStringFunction')
-
-    spark_conf = SparkConf()
-    spark_conf.setMaster('local[*]')
-    spark_conf.setAppName('test')
-
-    spark_context = SparkContext(spark_conf)
-    source = 'basic_example.csv'
-    assert os.path.isfile(source)
-    string_data = spark_context.textFile(source)
-
-
-def test_build():
-    _CONFIG = {
-        'dl4j_version': '1.0.0-SNAPSHOT',
-        'dl4j_core': False,
-        'datavec': True,
-        'spark': True,
-        'spark_version': '2',
-        'scala_version': '2.11',
-        'nd4j_backend': 'cpu'
-    }
-
-    my_dir = pydl4j.jarmgr._MY_DIR
-
-    if os.path.isdir(my_dir):
-        os.remove(my_dir)
-
-    pydl4j.set_config(_CONFIG)
-
-    pydl4j.maven_build()
-
-    import jumpy as jp
-
-    assert jp.zeros((3, 2)).numpy().sum() == 0
-
-    _spark_test()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/build_tests/test_build_3.py b/pydl4j/tests/build_tests/test_build_3.py
deleted file mode 100644
index 462fc64a4..000000000
--- a/pydl4j/tests/build_tests/test_build_3.py
+++ /dev/null
@@ -1,74 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import pydl4j
-import os
-
-
-def _spark_test():
-    from jnius import autoclass
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass('org.datavec.spark.'
-                                       'transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'StringToWritablesFunction')
-    WritablesToStringFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'WritablesToStringFunction')
-
-    spark_conf = SparkConf()
-    spark_conf.setMaster('local[*]')
-    spark_conf.setAppName('test')
-
-    spark_context = SparkContext(spark_conf)
-    source = 'basic_example.csv'
-    assert os.path.isfile(source)
-    string_data = spark_context.textFile(source)
-
-
-def test_build():
-    _CONFIG = {
-        'dl4j_version': '1.0.0-SNAPSHOT',
-        'dl4j_core': True,
-        'datavec': True,
-        'spark': True,
-        'spark_version': '1',
-        'scala_version': '2.10',
-        'nd4j_backend': 'cpu'
-    }
-
-    my_dir = pydl4j.jarmgr._MY_DIR
-
-    if os.path.isdir(my_dir):
-        os.remove(my_dir)
-
-    pydl4j.set_config(_CONFIG)
-
-    pydl4j.maven_build()
-
-    import jumpy as jp
-
-    assert jp.zeros((3, 2)).numpy().sum() == 0
-
-    _spark_test()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/build_tests/test_build_4.py b/pydl4j/tests/build_tests/test_build_4.py
deleted file mode 100644
index f7d19c5c0..000000000
--- a/pydl4j/tests/build_tests/test_build_4.py
+++ /dev/null
@@ -1,74 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import pydl4j
-import os
-
-
-def _spark_test():
-    from jnius import autoclass
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass('org.datavec.spark.'
-                                       'transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'StringToWritablesFunction')
-    WritablesToStringFunction = autoclass('org.datavec.spark.'
-                                          'transform.misc.'
-                                          'WritablesToStringFunction')
-
-    spark_conf = SparkConf()
-    spark_conf.setMaster('local[*]')
-    spark_conf.setAppName('test')
-
-    spark_context = SparkContext(spark_conf)
-    source = 'basic_example.csv'
-    assert os.path.isfile(source)
-    string_data = spark_context.textFile(source)
-
-
-def test_build():
-    _CONFIG = {
-        'dl4j_version': '1.0.0-SNAPSHOT',
-        'dl4j_core': True,
-        'datavec': True,
-        'spark': True,
-        'spark_version': '1',
-        'scala_version': '2.11',
-        'nd4j_backend': 'cpu'
-    }
-
-    my_dir = pydl4j.jarmgr._MY_DIR
-
-    if os.path.isdir(my_dir):
-        os.remove(my_dir)
-
-    pydl4j.set_config(_CONFIG)
-
-    pydl4j.maven_build()
-
-    import jumpy as jp
-
-    assert jp.zeros((3, 2)).numpy().sum() == 0
-
-    _spark_test()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/build_tests/test_build_5.py b/pydl4j/tests/build_tests/test_build_5.py
deleted file mode 100644
index acee95a09..000000000
--- a/pydl4j/tests/build_tests/test_build_5.py
+++ /dev/null
@@ -1,57 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import pydl4j
-import os
-
-
-def _datavec_test():
-    from jnius import autoclass
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-
-
-def test_build():
-    _CONFIG = {
-        'dl4j_version': '1.0.0-SNAPSHOT',
-        'dl4j_core': True,
-        'datavec': True,
-        'spark': False,
-        'spark_version': '2',
-        'scala_version': '2.11',
-        'nd4j_backend': 'cpu'
-    }
-
-    my_dir = pydl4j.jarmgr._MY_DIR
-
-    if os.path.isdir(my_dir):
-        os.remove(my_dir)
-
-    pydl4j.set_config(_CONFIG)
-
-    pydl4j.maven_build()
-
-    import jumpy as jp
-
-    assert jp.zeros((3, 2)).numpy().sum() == 0
-
-    _datavec_test()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/build_tests/test_build_6.py b/pydl4j/tests/build_tests/test_build_6.py
deleted file mode 100644
index ab70dee05..000000000
--- a/pydl4j/tests/build_tests/test_build_6.py
+++ /dev/null
@@ -1,48 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import pydl4j
-import os
-
-
-def test_build():
-    _CONFIG = {
-        'dl4j_version': '1.0.0-SNAPSHOT',
-        'dl4j_core': True,
-        'datavec': False,
-        'spark': True,
-        'spark_version': '2',
-        'scala_version': '2.11',
-        'nd4j_backend': 'cpu'
-    }
-
-    my_dir = pydl4j.jarmgr._MY_DIR
-
-    if os.path.isdir(my_dir):
-        os.remove(my_dir)
-
-    pydl4j.set_config(_CONFIG)
-
-    pydl4j.maven_build()
-
-    import jumpy as jp
-
-    assert jp.zeros((3, 2)).numpy().sum() == 0
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/mvn_test.py b/pydl4j/tests/mvn_test.py
deleted file mode 100644
index 42eb866ef..000000000
--- a/pydl4j/tests/mvn_test.py
+++ /dev/null
@@ -1,51 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-from pydl4j import *
-
-
-def test_get_artifacts():
-    artifacts = get_artifacts('datavec')
-    expected = ['datavec-api', 'datavec-local', 'datavec-parent']
-    for e in expected:
-        assert e in artifacts
-
-
-def test_get_versions():
-    versions = get_versions('datavec', 'datavec-api')
-    assert len(versions) >= 12
-
-
-def test_get_latest_version():
-    v = get_latest_version('datavec', 'datavec-api')
-    assert len(v) > 0
-
-
-def test_install():
-    set_context('test')
-    clear_context()
-    mvn_install('datavec', 'datavec-api')
-    mvn_install('datavec', 'datavec-local')
-    assert len(get_jars()) == 2
-    for jar in get_jars():
-        uninstall(jar)
-    assert len(get_jars()) == 0
-    clear_context()
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/pydl4j/tests/spark_test.py b/pydl4j/tests/spark_test.py
deleted file mode 100644
index 4b92fa592..000000000
--- a/pydl4j/tests/spark_test.py
+++ /dev/null
@@ -1,54 +0,0 @@
-################################################################################
-# Copyright (c) 2015-2019 Skymind, Inc.
-#
-# This program and the accompanying materials are made available under the
-# terms of the Apache License, Version 2.0 which is available at
-# https://www.apache.org/licenses/LICENSE-2.0.
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# License for the specific language governing permissions and limitations
-# under the License.
-#
-# SPDX-License-Identifier: Apache-2.0
-################################################################################
-
-import pytest
-import jnius_config
-import os
-import warnings
-import pydl4j
-
-
-def test_spark():
-    # skip test in travis
-    if "TRAVIS" in os.environ and os.environ["TRAVIS"] == "true":
-        return
-
-    pydl4j.validate_datavec_jars()
-
-    from jnius import autoclass
-
-    SparkConf = autoclass('org.apache.spark.SparkConf')
-    SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
-    JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass(
-        'org.datavec.spark.transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass(
-        'org.datavec.spark.transform.misc.StringToWritablesFunction')
-    WritablesToStringFunction = autoclass(
-        'org.datavec.spark.transform.misc.WritablesToStringFunction')
-
-    spark_conf = SparkConf()
-    spark_conf.setMaster('local[*]')
-    spark_conf.setAppName('test')
-
-    spark_context = SparkContext(spark_conf)
-    source = 'basic_example.csv'
-    assert os.path.isfile(source)
-    string_data = spark_context.textFile(source)
-
-
-if __name__ == '__main__':
-    pytest.main([__file__])
diff --git a/python4j/pom.xml b/python4j/pom.xml
index 4f672b999..36841acb1 100644
--- a/python4j/pom.xml
+++ b/python4j/pom.xml
@@ -1,33 +1,40 @@
 
-
+
 
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        deeplearning4j
         org.deeplearning4j
+        deeplearning4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     org.nd4j
     python4j-parent
     pom
+
     
         python4j-core
         python4j-numpy
@@ -43,7 +50,7 @@
         
             org.slf4j
             slf4j-api
-            1.6.6
+            ${slf4j.version}
         
         
             ch.qos.logback
@@ -68,4 +75,4 @@
             3.0.2
         
     
-
\ No newline at end of file
+
diff --git a/python4j/python4j-core/pom.xml b/python4j/python4j-core/pom.xml
index 26e77b8d1..4255d08ae 100644
--- a/python4j/python4j-core/pom.xml
+++ b/python4j/python4j-core/pom.xml
@@ -1,33 +1,38 @@
 
-
-
+
 
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
         python4j-parent
         org.nd4j
         1.0.0-SNAPSHOT
     
-    jar
-    4.0.0
 
     python4j-core
+
     
         
             org.json
@@ -40,4 +45,4 @@
             ${cpython-platform.version}
         
     
-
\ No newline at end of file
+
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/Python.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/Python.java
index 03c2fdaab..af843568b 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/Python.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/Python.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j.python4j;
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonContextManager.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonContextManager.java
index da166a86b..37cc8bdf5 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonContextManager.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonContextManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
@@ -23,17 +27,6 @@ import java.util.Set;
 import java.util.UUID;
 import java.util.concurrent.atomic.AtomicBoolean;
 
-/**
- * Emulates multiples interpreters in a single interpreter.
- * This works by simply obfuscating/de-obfuscating variable names
- * such that only the required subset of the global namespace is "visible"
- * at any given time.
- * By default, there exists a "main" context emulating the default interpreter
- *
- * @author Fariz Rahman
- */
-
-
 public class PythonContextManager {
 
     private static Set contexts = new HashSet<>();
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonException.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonException.java
index e8f64f2be..d5b65c801 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonException.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonException.java
@@ -1,25 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
 
-/**
- * Thrown when an exception occurs in python land
- */
 public class PythonException extends RuntimeException {
     public PythonException(String message) {
         super(message);
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonExecutioner.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonExecutioner.java
index 7d9169ed9..40131a237 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonExecutioner.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonExecutioner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j.python4j;
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGC.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGC.java
index e18d2072d..31151df34 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGC.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGC.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j.python4j;
@@ -26,26 +30,6 @@ import java.util.Set;
 
 import static org.bytedeco.cpython.global.python.*;
 
-/**
- * Wrap your code in a try-with-PythonGC block for automatic GC:
- * ```
- * try(PythonGC gc = PythonGC.lock()){
- *     // your code here
- * }
- *
- * If a PythonObject created inside such a block has to be used outside
- * the block, use PythonGC.keep() to exclude that object from GC.
- *
- * ```
- * PythonObject pyObj;
- *
- * try(PythonGC gc = PythonG.lock()){
- *     // do stuff
- *     pyObj = someFunction();
- *     PythonGC.keep(pyObj);
- * }
- *
- */
 public class PythonGC implements Closeable {
 
     private PythonGC previousFrame = null;
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGIL.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGIL.java
index e2e898d44..aff4e982b 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGIL.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonGIL.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonJob.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonJob.java
index b3e2befc3..72665be1e 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonJob.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonJob.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
@@ -27,11 +31,6 @@ import java.util.UUID;
 import java.util.concurrent.atomic.AtomicBoolean;
 
 
-/**
- * PythonJob is the right abstraction for executing multiple python scripts
- * in a multi thread stateful environment. The setup-and-run mode allows your
- * "setup" code (imports, model loading etc) to be executed only once.
- */
 @Data
 @Slf4j
 public class PythonJob {
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonObject.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonObject.java
index 94b60d320..13ea6b285 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonObject.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonObject.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonProcess.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonProcess.java
index bce8809f5..21f22eaf6 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonProcess.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonProcess.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j.python4j;
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonType.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonType.java
index 79b0ccaab..86cd3ec02 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonType.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonType.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonTypes.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonTypes.java
index e79ee1308..9120c82d4 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonTypes.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonTypes.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariable.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariable.java
index 038904ec9..17a407f78 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariable.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
diff --git a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariables.java b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariables.java
index ed9ccff5d..0baecbc1e 100644
--- a/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariables.java
+++ b/python4j/python4j-core/src/main/java/org/nd4j/python4j/PythonVariables.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.nd4j.python4j;
 
diff --git a/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/__init__.py b/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/__init__.py
index e69de29bb..ecf2a1c25 100644
--- a/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/__init__.py
+++ b/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/__init__.py
@@ -0,0 +1,18 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
diff --git a/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/pythonexec.py b/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/pythonexec.py
index 7ae8f6734..ebc1ca67d 100644
--- a/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/pythonexec.py
+++ b/python4j/python4j-core/src/main/resources/org/nd4j/python4j/pythonexec/pythonexec.py
@@ -1,18 +1,20 @@
-# /*******************************************************************************
-# * Copyright (c) 2019 Konduit K.K.
-# *
-# * This program and the accompanying materials are made available under the
-# * terms of the Apache License, Version 2.0 which is available at
-# * https://www.apache.org/licenses/LICENSE-2.0.
-# *
-# * Unless required by applicable law or agreed to in writing, software
-# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-# * License for the specific language governing permissions and limitations
-# * under the License.
-# *
-# * SPDX-License-Identifier: Apache-2.0
-# ******************************************************************************/
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
 
 import sys
 import traceback
diff --git a/python4j/python4j-core/src/test/java/PythonBasicExecutionTest.java b/python4j/python4j-core/src/test/java/PythonBasicExecutionTest.java
index 894ab7312..eaa044d0e 100644
--- a/python4j/python4j-core/src/test/java/PythonBasicExecutionTest.java
+++ b/python4j/python4j-core/src/test/java/PythonBasicExecutionTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.junit.Assert;
diff --git a/python4j/python4j-core/src/test/java/PythonCollectionsTest.java b/python4j/python4j-core/src/test/java/PythonCollectionsTest.java
index 7f299db59..d2307a530 100644
--- a/python4j/python4j-core/src/test/java/PythonCollectionsTest.java
+++ b/python4j/python4j-core/src/test/java/PythonCollectionsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.nd4j.python4j.*;
diff --git a/python4j/python4j-core/src/test/java/PythonContextManagerTest.java b/python4j/python4j-core/src/test/java/PythonContextManagerTest.java
index 8d71459be..d362c78ef 100644
--- a/python4j/python4j-core/src/test/java/PythonContextManagerTest.java
+++ b/python4j/python4j-core/src/test/java/PythonContextManagerTest.java
@@ -1,19 +1,23 @@
 
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.nd4j.python4j.Python;
diff --git a/python4j/python4j-core/src/test/java/PythonGCTest.java b/python4j/python4j-core/src/test/java/PythonGCTest.java
index 566170f6c..b66dc1807 100644
--- a/python4j/python4j-core/src/test/java/PythonGCTest.java
+++ b/python4j/python4j-core/src/test/java/PythonGCTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 import org.nd4j.python4j.Python;
 import org.nd4j.python4j.PythonGC;
diff --git a/python4j/python4j-core/src/test/java/PythonJobTest.java b/python4j/python4j-core/src/test/java/PythonJobTest.java
index fa16bd127..44d71358e 100644
--- a/python4j/python4j-core/src/test/java/PythonJobTest.java
+++ b/python4j/python4j-core/src/test/java/PythonJobTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 import org.nd4j.python4j.*;
 import org.junit.Test;
diff --git a/python4j/python4j-core/src/test/java/PythonMultiThreadTest.java b/python4j/python4j-core/src/test/java/PythonMultiThreadTest.java
index bdb7e1ffb..438f36662 100644
--- a/python4j/python4j-core/src/test/java/PythonMultiThreadTest.java
+++ b/python4j/python4j-core/src/test/java/PythonMultiThreadTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 import org.bytedeco.cpython.PyThreadState;
 import org.junit.Test;
diff --git a/python4j/python4j-core/src/test/java/PythonPrimitiveTypesTest.java b/python4j/python4j-core/src/test/java/PythonPrimitiveTypesTest.java
index 17c2c9124..ca0727f0b 100644
--- a/python4j/python4j-core/src/test/java/PythonPrimitiveTypesTest.java
+++ b/python4j/python4j-core/src/test/java/PythonPrimitiveTypesTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.nd4j.python4j.*;
diff --git a/python4j/python4j-numpy/pom.xml b/python4j/python4j-numpy/pom.xml
index 7d2ebe7de..d55531d1e 100644
--- a/python4j/python4j-numpy/pom.xml
+++ b/python4j/python4j-numpy/pom.xml
@@ -1,13 +1,35 @@
 
+
+
 
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    4.0.0
+
     
-        python4j-parent
         org.nd4j
+        python4j-parent
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     python4j-numpy
 
@@ -72,6 +94,4 @@
             
         
     
-
-
-
\ No newline at end of file
+
diff --git a/python4j/python4j-numpy/src/main/java/org/nd4j/python4j/NumpyArray.java b/python4j/python4j-numpy/src/main/java/org/nd4j/python4j/NumpyArray.java
index 49814e9fa..5341fb51f 100644
--- a/python4j/python4j-numpy/src/main/java/org/nd4j/python4j/NumpyArray.java
+++ b/python4j/python4j-numpy/src/main/java/org/nd4j/python4j/NumpyArray.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 package org.nd4j.python4j;
diff --git a/python4j/python4j-numpy/src/main/resources/META-INF/services/org.nd4j.python4j.PythonType b/python4j/python4j-numpy/src/main/resources/META-INF/services/org.nd4j.python4j.PythonType
index b0d2f1256..52597b8b5 100644
--- a/python4j/python4j-numpy/src/main/resources/META-INF/services/org.nd4j.python4j.PythonType
+++ b/python4j/python4j-numpy/src/main/resources/META-INF/services/org.nd4j.python4j.PythonType
@@ -1 +1,217 @@
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * See the NOTICE file distributed with this work for additional
+#  * information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  *  See the NOTICE file distributed with this work for additional
+#  *  information regarding copyright ownership.
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  *
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
+#
+# /* ******************************************************************************
+#  * Copyright (c) 2021 Deeplearning4j Contributors
+#  *
+#  * This program and the accompanying materials are made available under the
+#  * terms of the Apache License, Version 2.0 which is available at
+#  * https://www.apache.org/licenses/LICENSE-2.0.
+#  *
+#  * Unless required by applicable law or agreed to in writing, software
+#  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#  * License for the specific language governing permissions and limitations
+#  * under the License.
+#  *
+#  * SPDX-License-Identifier: Apache-2.0
+#  ******************************************************************************/
+#
+
 org.nd4j.python4j.NumpyArray
\ No newline at end of file
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyBasicTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyBasicTest.java
index 721c8e262..080b91858 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyBasicTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyBasicTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.nd4j.python4j.*;
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyCollectionsTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyCollectionsTest.java
index 0ce1e26e4..33a3f09dc 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyCollectionsTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyCollectionsTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.nd4j.python4j.PythonException;
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyGCTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyGCTest.java
index a84179834..d74746593 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyGCTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyGCTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 import org.nd4j.python4j.Python;
 import org.nd4j.python4j.PythonGC;
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyImportTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyImportTest.java
index 3d71a8c39..c3124fcdc 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyImportTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyImportTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 import org.nd4j.python4j.*;
 import org.junit.Assert;
 import org.junit.Test;
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyJobTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyJobTest.java
index a8043739f..1ef026557 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyJobTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyJobTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 import org.junit.Assert;
 import org.junit.Test;
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyMultiThreadTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyMultiThreadTest.java
index f14100be5..fa7dd8c6f 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyMultiThreadTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyMultiThreadTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 import org.nd4j.python4j.*;
 import org.junit.Assert;
diff --git a/python4j/python4j-numpy/src/test/java/PythonNumpyServiceLoaderTest.java b/python4j/python4j-numpy/src/test/java/PythonNumpyServiceLoaderTest.java
index bd13a99d9..05a5dee6e 100644
--- a/python4j/python4j-numpy/src/test/java/PythonNumpyServiceLoaderTest.java
+++ b/python4j/python4j-numpy/src/test/java/PythonNumpyServiceLoaderTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 
 import org.junit.Assert;
diff --git a/rl4j/pom.xml b/rl4j/pom.xml
index e3cdb5ca1..eb9ae1c8b 100644
--- a/rl4j/pom.xml
+++ b/rl4j/pom.xml
@@ -1,56 +1,42 @@
 
-
-
+
 
 
 
+    4.0.0
+
     
         org.deeplearning4j
         deeplearning4j
         1.0.0-SNAPSHOT
     
 
-    4.0.0
-
-    org.deeplearning4j
     rl4j
     pom
 
     rl4j
     Deep Reinforcement Learning for the JVM
 
-    
-        
-            Apache License, Version 2.0
-            http://www.apache.org/licenses/LICENSE-2.0.txt
-            repo
-        
-    
-
-    
-        
-            rubenfiszel
-            Ruben Fiszel
-            ruben.fiszel@epfl.ch
-        
-    
-
     
         rl4j-api
         rl4j-core
@@ -62,21 +48,11 @@
 
     
         
-            
-                ch.qos.logback
-                logback-classic
-                ${logback.version}
-            
             
                 ch.qos.logback
                 logback-core
                 ${logback.version}
             
-            
-                org.slf4j
-                slf4j-api
-                ${slf4j.version}
-            
         
     
 
@@ -121,18 +97,6 @@
                     
                 
             
-            
-                maven-source-plugin
-                ${maven-source-plugin.version}
-                
-                    
-                        attach-sources
-                        
-                            jar
-                        
-                    
-                
-            
             
                 maven-surefire-plugin
                 ${maven-surefire-plugin.version}
@@ -150,21 +114,6 @@
                     false
                 
             
-            
-                maven-javadoc-plugin
-                ${maven-javadoc-plugin.version}
-                
-                    -Xdoclint:none
-                
-                
-                    
-                        attach-javadocs
-                        
-                            jar
-                        
-                    
-                
-            
             
                 com.lewisd
                 lint-maven-plugin
@@ -191,13 +140,10 @@
                     
                 
             
-
             
                 net.revelc.code.formatter
                 formatter-maven-plugin
-                ${maven-formatter-plugin.version}
                 
-                    ${session.executionRootDirectory}/contrib/formatter.xml
                     
                         rl4j-api
                         rl4j-core
@@ -208,82 +154,22 @@
                     
                 
             
-
             
             
                 pl.project13.maven
                 git-commit-id-plugin
-                ${maven-git-commit-id-plugin.version}
-                
-                    
-                        
-                            revision
-                        
-                        generate-resources
-                    
-                
-                
-                    true
-                    
-                        ${project.basedir}/target/generated-sources/src/main/resources/ai/skymind/${project.groupId}-${project.artifactId}-git.properties
-                    
-                    
-                        true
-                    
-                
             
-
             
             
                 org.codehaus.mojo
                 build-helper-maven-plugin
-                ${maven-build-helper-plugin.version}
-                
-                    
-                        add-resource
-                        generate-resources
-                        
-                            add-resource
-                        
-                        
-                            
-                                
-                                    
-                                        ${project.basedir}/target/generated-sources/src/main/resources
-                                    
-                                
-                            
-                        
-                    
-                
             
-
         
         
             
                 
                     org.eclipse.m2e
                     lifecycle-mapping
-                    ${maven-lifecycle-mapping-plugin.version}
-                    
-                        
-                            
-                                
-                                    
-                                        com.lewisd
-                                        lint-maven-plugin
-                                        [0.0.11,)
-                                        
-                                            check
-                                        
-                                    
-                                    
-                                        
-                                    
-                                
-                            
-                        
-                    
                 
             
         
@@ -301,7 +187,6 @@
                 
             
         
-
         
             test-nd4j-cuda-11.0
             
@@ -314,19 +199,4 @@
             
         
     
-
-    
-        
-            
-                maven-surefire-report-plugin
-                ${maven-surefire-plugin.version}
-            
-            
-            
-                org.codehaus.mojo
-                cobertura-maven-plugin
-                2.7
-            
-        
-    
 
diff --git a/rl4j/rl4j-ale/pom.xml b/rl4j/rl4j-ale/pom.xml
index 5e97eceb0..a07325886 100644
--- a/rl4j/rl4j-ale/pom.xml
+++ b/rl4j/rl4j-ale/pom.xml
@@ -1,37 +1,40 @@
-
+
+
+
+
 
-
-    
-        rl4j
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        rl4j
+        1.0.0-SNAPSHOT
+    
+
     rl4j-ale
-    jar
 
     rl4j-ale
 
-    
-        UTF-8
-    
-
     
         
             org.deeplearning4j
diff --git a/rl4j/rl4j-ale/src/main/java/org/deeplearning4j/rl4j/mdp/ale/ALEMDP.java b/rl4j/rl4j-ale/src/main/java/org/deeplearning4j/rl4j/mdp/ale/ALEMDP.java
index 1b49e6d55..d4984a415 100644
--- a/rl4j/rl4j-ale/src/main/java/org/deeplearning4j/rl4j/mdp/ale/ALEMDP.java
+++ b/rl4j/rl4j-ale/src/main/java/org/deeplearning4j/rl4j/mdp/ale/ALEMDP.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.ale;
 
diff --git a/rl4j/rl4j-api/pom.xml b/rl4j/rl4j-api/pom.xml
index 43bf18cd8..2d1b34a4c 100644
--- a/rl4j/rl4j-api/pom.xml
+++ b/rl4j/rl4j-api/pom.xml
@@ -1,37 +1,40 @@
-
+
+
+
+
 
-
-    
-        rl4j
-        org.deeplearning4j
-        1.0.0-SNAPSHOT
-    
     4.0.0
 
+    
+        org.deeplearning4j
+        rl4j
+        1.0.0-SNAPSHOT
+    
+
     rl4j-api
-    jar
 
     rl4j-api
 
-    
-        UTF-8
-    
-
     
         
             org.nd4j
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/gym/StepReply.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/gym/StepReply.java
index e37750d72..972d603db 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/gym/StepReply.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/gym/StepReply.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.gym;
 
 import lombok.Value;
 
-/**
- * @param  type of observation
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/6/16.
- *
- *  StepReply is the container for the data returned after each step(action).
- */
 @Value
 public class StepReply {
 
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/mdp/MDP.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/mdp/MDP.java
index e911a7acc..53794d38e 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/mdp/MDP.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/mdp/MDP.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp;
 
@@ -22,16 +26,6 @@ import org.deeplearning4j.rl4j.space.ActionSpace;
 import org.deeplearning4j.rl4j.space.Encodable;
 import org.deeplearning4j.rl4j.space.ObservationSpace;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/12/16.
- * An interface that ensure an environment is expressible as a
- * Markov Decsision Process. This implementation follow the gym model.
- * It works based on side effects which is perfect for imperative simulation.
- *
- * A bit sad that it doesn't use efficiently stateful mdp that could be rolled back
- * in a "functionnal manner" if step return a mdp
- *
- */
 public interface MDP> {
 
     ObservationSpace getObservationSpace();
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ActionSpace.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ActionSpace.java
index d20b3e159..2dddab275 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ActionSpace.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ActionSpace.java
@@ -1,28 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
-/**
- * @param  the type of Action
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
- *         
        
- *         Should contain contextual information about the Action space, which is the space of all the actions that could be available.
- *         Also must know how to return a randomly uniformly sampled action.
- */
 public interface ActionSpace {
 
     /**
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ArrayObservationSpace.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ArrayObservationSpace.java
index 31c93eeda..67fcdd73e 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ArrayObservationSpace.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ArrayObservationSpace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
@@ -20,13 +24,6 @@ import lombok.Value;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @param  the type of Observation
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
- *         
        
- *         An array observation space enables you to create an Observation Space of custom dimension
- */
-
 @Value
 public class ArrayObservationSpace implements ObservationSpace {
 
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Box.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Box.java
index 3bc242fea..317940fbb 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Box.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Box.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
- *
- * A Box observation
- *
- * @see https://gym.openai.com/envs#box2d
- */
 public class Box implements Encodable {
 
     private final INDArray data;
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/DiscreteSpace.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/DiscreteSpace.java
index 0a27c1fe8..f20008c3f 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/DiscreteSpace.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/DiscreteSpace.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
@@ -20,14 +24,6 @@ import lombok.Getter;
 import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
- *         
        
- *         A discrete space of action. A discrete space is always isomorphic
- *         to a space of integer so we can parametrize directly by Integer.
- *         Benefit of using Integers directly is that you can use it as the
- *         id of the node assigned to that action in the outpout of a DQN.
- */
 public class DiscreteSpace implements ActionSpace {
 
     //size of the space also defined as the number of different actions
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Encodable.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Encodable.java
index bfec24f68..a4fdb483a 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Encodable.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/Encodable.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K. K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/HighLowDiscrete.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/HighLowDiscrete.java
index 491f6aca1..efec9279b 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/HighLowDiscrete.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/HighLowDiscrete.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
 import lombok.Value;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/26/16.
- */
 @Value
 public class HighLowDiscrete extends DiscreteSpace {
 
diff --git a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ObservationSpace.java b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ObservationSpace.java
index 21f6a7bf0..1f058eb36 100644
--- a/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ObservationSpace.java
+++ b/rl4j/rl4j-api/src/main/java/org/deeplearning4j/rl4j/space/ObservationSpace.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.space;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/11/16.
- *         An observation space contains the basic informations about the state space
- */
 public interface ObservationSpace {
 
     String getName();
diff --git a/rl4j/rl4j-core/pom.xml b/rl4j/rl4j-core/pom.xml
index 1cac4490d..0aef69056 100644
--- a/rl4j/rl4j-core/pom.xml
+++ b/rl4j/rl4j-core/pom.xml
@@ -1,62 +1,72 @@
 
-
-
+
 
 
+    xmlns="http://maven.apache.org/POM/4.0.0"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+
     4.0.0
-    
-        
-            
-                org.apache.maven.plugins
-                maven-compiler-plugin
-                
-                    8
-                    8
-                
-            
-        
-    
 
     
-        rl4j
         org.deeplearning4j
+        rl4j
         1.0.0-SNAPSHOT
     
 
     rl4j-core
-    jar
 
     rl4j-core
 
-
+    
+        1.8
+        1.8
+    
 
     
+        
+            org.deeplearning4j
+            rl4j-api
+            ${project.version}
+        
+        
+            org.deeplearning4j
+            deeplearning4j-core
+            ${dl4j.version}
+        
+        
+            org.datavec
+            datavec-api
+            ${datavec.version}
+        
         
         
             org.slf4j
             slf4j-api
+            ${slf4j.version}
         
         
             ch.qos.logback
             logback-classic
+            ${logback.version}
         
-
         
             org.bytedeco
             javacv
@@ -87,47 +97,27 @@
             ffmpeg-platform
             ${ffmpeg.version}-${javacpp-presets.version}
         
-
-        
-            org.deeplearning4j
-            rl4j-api
-            ${project.version}
-        
-        
-            org.deeplearning4j
-            deeplearning4j-core
-            ${dl4j.version}
-        
         
             org.apache.commons
             commons-collections4
-            4.1
+            ${commons-collections4.version}
         
         
             com.fasterxml.jackson.core
             jackson-databind
             ${jackson.version}
         
-
         
             com.google.code.gson
             gson
             ${gson.version}
         
-
-        
-            org.datavec
-            datavec-api
-            ${datavec.version}
-        
-
         
             org.mockito
             mockito-core
             3.3.3
             test
         
-
     
 
     
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/Agent.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/Agent.java
index 4bf80c7db..1da7214c1 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/Agent.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/Agent.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent;
 
 import lombok.AccessLevel;
@@ -31,12 +35,6 @@ import org.nd4j.common.base.Preconditions;
 
 import java.util.Map;
 
-/**
- * An agent implementation. The Agent will use a {@link IPolicy} to interact with an {@link Environment} and receive
- * a reward.
- *
- * @param  The type of action
- */
 public class Agent implements IAgent {
     @Getter
     private final String id;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/AgentLearner.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/AgentLearner.java
index 7074ca1bb..7dab95155 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/AgentLearner.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/AgentLearner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent;
 
 import lombok.Data;
@@ -26,10 +30,6 @@ import org.deeplearning4j.rl4j.observation.Observation;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.deeplearning4j.rl4j.policy.IPolicy;
 
-/**
- * The ActionLearner is an {@link Agent} that delegate the learning to a {@link ILearningBehavior}.
- * @param  The type of the action
- */
 public class AgentLearner extends Agent implements IAgentLearner {
 
     private final ILearningBehavior learningBehavior;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgent.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgent.java
index 598f7eae5..49efbb708 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgent.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgent.java
@@ -1,27 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent;
 
 import org.deeplearning4j.rl4j.environment.Environment;
 import org.deeplearning4j.rl4j.policy.IPolicy;
 
-/**
- * The interface of {@link Agent}
- * @param 
- */
 public interface IAgent {
     /**
      * Will play a single episode
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgentLearner.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgentLearner.java
index 6759a2bc6..ab09695be 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgentLearner.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/IAgentLearner.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent;
 
 public interface IAgentLearner extends IAgent {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/IUpdateAlgorithm.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/IUpdateAlgorithm.java
index 5f07369f9..4645f9a27 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/IUpdateAlgorithm.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/IUpdateAlgorithm.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.agent.learning.algorithm;
 
 import java.util.List;
 
-/**
- * The interface of all features-labels based update algorithms.
- *
- * @param  The type of experiences
- * @param  The type of the result. See {@link org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels FeaturesLabels}
- *                     and {@link org.deeplearning4j.rl4j.agent.learning.update.Gradients Gradients}
- */
 public interface IUpdateAlgorithm {
     /**
      * Compute the labels required to update the network from the training batch
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/ActorCriticHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/ActorCriticHelper.java
index 7d790b8ea..803eb8b9c 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/ActorCriticHelper.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/ActorCriticHelper.java
@@ -1,49 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-import java.util.List;
-
-/**
- * A base helper class for the Actor Critic update algorithm. The algorithm is the same whether it's used with a RNN or
- * not but, the shape of INDArrays are different. This class, {@link NonRecurrentActorCriticHelper},
- * and {@link RecurrentActorCriticHelper} handle the differences.
- */
 public abstract class ActorCriticHelper {
-    /**
-     * Create a feature INDArray, filled with the observations from the trainingBatch
-     * @param trainingBatch An experience training batch
-     * @return A INDArray filled with the observations from the trainingBatch
-     */
-    public INDArray createFeatures(List> trainingBatch) {
-        int size = trainingBatch.size();
-        long[] observationShape = trainingBatch.get(0).getObservation().getData().shape();
-        INDArray features = createFeatureArray(size, observationShape);
-        for(int i = 0; i < size; ++i) {
-            setFeature(features, i, trainingBatch.get(i).getObservation().getData());
-        }
-
-        return features;
-    }
-    protected abstract INDArray createFeatureArray(int size, long[] observationShape);
-    protected abstract void setFeature(INDArray features, long idx, INDArray data);
-
     /**
      * Create an empty INDArray to be used as the value array
      * @param trainingBatchSize the size of the training batch
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/AdvantageActorCritic.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/AdvantageActorCritic.java
index 3c20caed3..801f44de9 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/AdvantageActorCritic.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/AdvantageActorCritic.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic;
 
 import lombok.Builder;
@@ -20,9 +24,11 @@ import lombok.Data;
 import lombok.NonNull;
 import lombok.experimental.SuperBuilder;
 import org.deeplearning4j.rl4j.agent.learning.algorithm.IUpdateAlgorithm;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.agent.learning.update.FeaturesBuilder;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
@@ -30,13 +36,7 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.List;
 
-/**
- * This the "Algorithm S3 Asynchronous advantage actor-critic" of Asynchronous Methods for Deep Reinforcement Learning
- * @see Asynchronous Methods for Deep Reinforcement Learning on arXiv, page 14
- * 
        
- * Note: The output of threadCurrent must contain a channel named "value".
- */
-public class AdvantageActorCritic implements IUpdateAlgorithm> {
+public class AdvantageActorCritic implements IUpdateAlgorithm> {
 
     private final ITrainableNeuralNet threadCurrent;
 
@@ -44,6 +44,8 @@ public class AdvantageActorCritic implements IUpdateAlgorithm> trainingBatch) {
+    public Gradients compute(List> trainingBatch) {
         int size = trainingBatch.size();
 
-        INDArray features = algorithmHelper.createFeatures(trainingBatch);
-
+        Features features = featuresBuilder.build(trainingBatch);
         INDArray values = algorithmHelper.createValueLabels(size);
         INDArray policy = algorithmHelper.createPolicyLabels(size);
 
-        StateActionPair stateActionPair = trainingBatch.get(size - 1);
+        StateActionReward stateActionReward = trainingBatch.get(size - 1);
         double value;
-        if (stateActionPair.isTerminal()) {
+        if (stateActionReward.isTerminal()) {
             value = 0;
         } else {
             value = threadCurrent.output(trainingBatch.get(size - 1).getObservation()).get(CommonOutputNames.ActorCritic.Value).getDouble(0);
         }
 
         for (int i = size - 1; i >= 0; --i) {
-            stateActionPair = trainingBatch.get(i);
+            stateActionReward = trainingBatch.get(i);
 
-            value = stateActionPair.getReward() + gamma * value;
+            value = stateActionReward.getReward() + gamma * value;
 
             //the critic
             values.putScalar(i, value);
@@ -83,7 +86,7 @@ public class AdvantageActorCritic implements IUpdateAlgorithmnet(s(t+1), a)
      */
-    protected INDArray qNetworkNextObservation;
+    protected INDArray qNetworkNextFeatures;
 
     /**
      * In literature, this corresponds to Qtnet(s(t+1), a)
      */
-    protected INDArray targetQNetworkNextObservation;
+    protected INDArray targetQNetworkNextFeatures;
 
     protected BaseDQNAlgorithm(IOutputNeuralNet qNetwork,
                                @NonNull IOutputNeuralNet targetQNetwork,
@@ -49,10 +54,10 @@ public abstract class BaseDQNAlgorithm extends BaseTransitionTDAlgorithm {
     }
 
     @Override
-    protected void initComputation(INDArray observations, INDArray nextObservations) {
-        super.initComputation(observations, nextObservations);
+    protected void initComputation(Features features, Features nextFeatures) {
+        super.initComputation(features, nextFeatures);
 
-        qNetworkNextObservation = qNetwork.output(nextObservations).get(CommonOutputNames.QValues);
-        targetQNetworkNextObservation = targetQNetwork.output(nextObservations).get(CommonOutputNames.QValues);
+        qNetworkNextFeatures = qNetwork.output(nextFeatures).get(CommonOutputNames.QValues);
+        targetQNetworkNextFeatures = targetQNetwork.output(nextFeatures).get(CommonOutputNames.QValues);
     }
 }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/BaseTransitionTDAlgorithm.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/BaseTransitionTDAlgorithm.java
index 3bf48a828..540120d55 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/BaseTransitionTDAlgorithm.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/BaseTransitionTDAlgorithm.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.agent.learning.algorithm.dqn;
 
@@ -21,8 +25,10 @@ import lombok.Data;
 import lombok.NonNull;
 import lombok.experimental.SuperBuilder;
 import org.deeplearning4j.rl4j.agent.learning.algorithm.IUpdateAlgorithm;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.agent.learning.update.FeaturesBuilder;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
@@ -30,10 +36,7 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.List;
 
-/**
- * The base of all {@link Transition Transition-based} TD algorithms.
- */
-public abstract class BaseTransitionTDAlgorithm implements IUpdateAlgorithm> {
+public abstract class BaseTransitionTDAlgorithm implements IUpdateAlgorithm> {
 
     protected final IOutputNeuralNet qNetwork;
     protected final double gamma;
@@ -41,6 +44,7 @@ public abstract class BaseTransitionTDAlgorithm implements IUpdateAlgorithm> transitions) {
+    public FeaturesLabels compute(List> stateActionRewardStates) {
 
-        int size = transitions.size();
+        int size = stateActionRewardStates.size();
 
-        INDArray observations = Transition.buildStackedObservations(transitions);
-        INDArray nextObservations = Transition.buildStackedNextObservations(transitions);
+        Features features = featuresBuilder.build(stateActionRewardStates);
+        Features nextFeatures = featuresBuilder.build(stateActionRewardStates.stream().map(e -> e.getNextObservation()), stateActionRewardStates.size());
 
-        initComputation(observations, nextObservations);
+        initComputation(features, nextFeatures);
 
-        INDArray updatedQValues = qNetwork.output(observations).get(CommonOutputNames.QValues);
+        INDArray updatedQValues = qNetwork.output(features).get(CommonOutputNames.QValues);
         for (int i = 0; i < size; ++i) {
-            Transition transition = transitions.get(i);
-            double yTarget = computeTarget(i, transition.getReward(), transition.isTerminal());
+            StateActionRewardState stateActionRewardState = stateActionRewardStates.get(i);
+            double yTarget = computeTarget(i, stateActionRewardState.getReward(), stateActionRewardState.isTerminal());
 
             if(isClamped) {
-                double previousQValue = updatedQValues.getDouble(i, transition.getAction());
+                double previousQValue = updatedQValues.getDouble(i, stateActionRewardState.getAction());
                 double lowBound = previousQValue - errorClamp;
                 double highBound = previousQValue + errorClamp;
                 yTarget = Math.min(highBound, Math.max(yTarget, lowBound));
             }
-            updatedQValues.putScalar(i, transition.getAction(), yTarget);
+            updatedQValues.putScalar(i, stateActionRewardState.getAction(), yTarget);
         }
 
-        FeaturesLabels featuresLabels = new FeaturesLabels(observations);
+        FeaturesLabels featuresLabels = new FeaturesLabels(features);
         featuresLabels.putLabels(CommonLabelNames.QValues, updatedQValues);
 
         return featuresLabels;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQN.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQN.java
index f7d99276b..8c8109b6e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQN.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQN.java
@@ -1,30 +1,30 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.agent.learning.algorithm.dqn;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * The Double-DQN algorithm based on "Deep Reinforcement Learning with Double Q-learning" (https://arxiv.org/abs/1509.06461)
- *
- * @author Alexandre Boulanger
- */
 public class DoubleDQN extends BaseDQNAlgorithm {
 
     private static final int ACTION_DIMENSION_IDX = 1;
@@ -39,10 +39,10 @@ public class DoubleDQN extends BaseDQNAlgorithm {
     }
 
     @Override
-    protected void initComputation(INDArray observations, INDArray nextObservations) {
-        super.initComputation(observations, nextObservations);
+    protected void initComputation(Features features, Features nextFeatures) {
+        super.initComputation(features, nextFeatures);
 
-        maxActionsFromQNetworkNextObservation = Nd4j.argMax(qNetworkNextObservation, ACTION_DIMENSION_IDX);
+        maxActionsFromQNetworkNextObservation = Nd4j.argMax(qNetworkNextFeatures, ACTION_DIMENSION_IDX);
     }
 
     /**
@@ -57,7 +57,7 @@ public class DoubleDQN extends BaseDQNAlgorithm {
     protected double computeTarget(int batchIdx, double reward, boolean isTerminal) {
         double yTarget = reward;
         if (!isTerminal) {
-            yTarget += gamma * targetQNetworkNextObservation.getDouble(batchIdx, maxActionsFromQNetworkNextObservation.getInt(batchIdx));
+            yTarget += gamma * targetQNetworkNextFeatures.getDouble(batchIdx, maxActionsFromQNetworkNextObservation.getInt(batchIdx));
         }
 
         return yTarget;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQN.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQN.java
index c3a4c3be2..a80a29e8a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQN.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQN.java
@@ -1,30 +1,30 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.agent.learning.algorithm.dqn;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * The Standard DQN algorithm based on "Playing Atari with Deep Reinforcement Learning" (https://arxiv.org/abs/1312.5602)
- *
- * @author Alexandre Boulanger
- */
 public class StandardDQN extends BaseDQNAlgorithm {
 
     private static final int ACTION_DIMENSION_IDX = 1;
@@ -40,10 +40,10 @@ public class StandardDQN extends BaseDQNAlgorithm {
 
 
     @Override
-    protected void initComputation(INDArray observations, INDArray nextObservations) {
-        super.initComputation(observations, nextObservations);
+    protected void initComputation(Features features, Features nextFeatures) {
+        super.initComputation(features, nextFeatures);
 
-        maxActionsFromQTargetNextObservation = Nd4j.max(targetQNetworkNextObservation, ACTION_DIMENSION_IDX);
+        maxActionsFromQTargetNextObservation = Nd4j.max(targetQNetworkNextFeatures, ACTION_DIMENSION_IDX);
     }
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearning.java
index a6c06f9cc..3dd237197 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearning.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
 import lombok.Builder;
@@ -20,9 +24,11 @@ import lombok.Data;
 import lombok.NonNull;
 import lombok.experimental.SuperBuilder;
 import org.deeplearning4j.rl4j.agent.learning.algorithm.IUpdateAlgorithm;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.agent.learning.update.FeaturesBuilder;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
@@ -32,18 +38,13 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.List;
 
-/**
- * This the "Algorithm S2 Asynchronous n-step Q-learning" of Asynchronous Methods for Deep Reinforcement Learning
- * @see Asynchronous Methods for Deep Reinforcement Learning on arXiv, page 14
- * 
        
- * Note: The output of threadCurrent must contain a channel named "Q".
- */
-public class NStepQLearning implements IUpdateAlgorithm> {
+public class NStepQLearning implements IUpdateAlgorithm> {
 
     private final ITrainableNeuralNet threadCurrent;
     private final IOutputNeuralNet target;
     private final double gamma;
     private final NStepQLearningHelper algorithmHelper;
+    private final FeaturesBuilder featuresBuilder;
 
     /**
      * @param threadCurrent The θ' parameters (the thread-specific network)
@@ -61,21 +62,22 @@ public class NStepQLearning implements IUpdateAlgorithm> trainingBatch) {
+    public Gradients compute(List> trainingBatch) {
         int size = trainingBatch.size();
 
-        StateActionPair stateActionPair = trainingBatch.get(size - 1);
+        StateActionReward stateActionReward = trainingBatch.get(size - 1);
 
-        INDArray features = algorithmHelper.createFeatures(trainingBatch);
-        INDArray allExpectedQValues = threadCurrent.output(features).get(CommonOutputNames.QValues);
+        Features features = featuresBuilder.build(trainingBatch);
 
         INDArray labels = algorithmHelper.createLabels(size);
 
         double r;
-        if (stateActionPair.isTerminal()) {
+        if (stateActionReward.isTerminal()) {
             r = 0;
         } else {
             INDArray expectedValuesOfLast = algorithmHelper.getTargetExpectedQValuesOfLast(target, trainingBatch, features);
@@ -83,11 +85,11 @@ public class NStepQLearning implements IUpdateAlgorithm= 0; --i) {
-            stateActionPair = trainingBatch.get(i);
+            stateActionReward = trainingBatch.get(i);
 
-            r = stateActionPair.getReward() + gamma * r;
-            INDArray expectedQValues = algorithmHelper.getExpectedQValues(allExpectedQValues, i);
-            expectedQValues = expectedQValues.putScalar(stateActionPair.getAction(), r);
+            r = stateActionReward.getReward() + gamma * r;
+            INDArray expectedQValues = threadCurrent.output(stateActionReward.getObservation()).get(CommonOutputNames.QValues);
+            expectedQValues = expectedQValues.putScalar(stateActionReward.getAction(), r);
 
             algorithmHelper.setLabels(labels, i, expectedQValues);
         }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearningHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearningHelper.java
index 1ce79a039..b3e488702 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearningHelper.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NStepQLearningHelper.java
@@ -1,51 +1,33 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.List;
 
-/**
- * A base helper class for the n-step Q-Learning update algorithm. The algorithm is the same whether it's used with a RNN or
- * not but, the shape of INDArrays are different. This class, {@link NonRecurrentNStepQLearningHelper},
- * and {@link RecurrentNStepQLearningHelper} handle the differences.
- */
 public abstract class NStepQLearningHelper {
 
-    /**
-     * Create a feature INDArray, filled with the observations from the trainingBatch
-     * @param trainingBatch An experience training batch
-     * @return A INDArray filled with the observations from the trainingBatch
-     */
-    public INDArray createFeatures(List> trainingBatch) {
-        int size = trainingBatch.size();
-        long[] observationShape = trainingBatch.get(0).getObservation().getData().shape();
-        INDArray features = createFeatureArray(size, observationShape);
-        for(int i = 0; i < size; ++i) {
-            setFeature(features, i, trainingBatch.get(i).getObservation().getData());
-        }
-
-        return features;
-    }
-    protected abstract INDArray createFeatureArray(int size, long[] observationShape);
-    protected abstract void setFeature(INDArray features, long idx, INDArray data);
-
     /**
      * Get the expected Q value given a training batch index from the pre-computed Q values
      * @param allExpectedQValues A INDArray containg all pre-computed Q values
@@ -76,5 +58,5 @@ public abstract class NStepQLearningHelper {
      * @return A INDArray filled with the observations from the trainingBatch
      * @return The expected Q values for the last element of the training batch
      */
-    public abstract INDArray getTargetExpectedQValuesOfLast(IOutputNeuralNet target, List> trainingBatch, INDArray features);
+    public abstract INDArray getTargetExpectedQValuesOfLast(IOutputNeuralNet target, List> trainingBatch, Features features);
 }
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelper.java
index 509a1f1de..67593edcf 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelper.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelper.java
@@ -1,22 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
-import org.deeplearning4j.rl4j.helper.INDArrayHelper;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -25,10 +29,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.util.List;
 
-/**
- * A helper class for the n-step Q-Learning update algorithm. The algorithm is the same whether it's used with a RNN or
- * not but, the shape of INDArrays are different. This class handles the non-recurrent case.
- */
 public class NonRecurrentNStepQLearningHelper extends NStepQLearningHelper {
     private final int actionSpaceSize;
 
@@ -41,28 +41,18 @@ public class NonRecurrentNStepQLearningHelper extends NStepQLearningHelper {
         return Nd4j.create(trainingBatchSize, actionSpaceSize);
     }
 
-    @Override
-    protected void setFeature(INDArray features, long idx, INDArray data) {
-        features.putRow(idx, data);
-    }
-
     @Override
     public INDArray getExpectedQValues(INDArray allExpectedQValues, int idx) {
         return allExpectedQValues.getRow(idx);
     }
 
-    @Override
-    protected INDArray createFeatureArray(int size, long[] observationShape) {
-        return INDArrayHelper.createBatchForShape(size, observationShape);
-    }
-
     @Override
     public void setLabels(INDArray labels, long idx, INDArray data) {
         labels.putRow(idx, data);
     }
 
     @Override
-    public INDArray getTargetExpectedQValuesOfLast(IOutputNeuralNet target, List> trainingBatch, INDArray features) {
+    public INDArray getTargetExpectedQValuesOfLast(IOutputNeuralNet target, List> trainingBatch, Features features) {
         Observation lastObservation = trainingBatch.get(trainingBatch.size() - 1).getObservation();
         return target.output(lastObservation)
                 .get(CommonOutputNames.QValues);
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelper.java
index 1253620f2..d194baf59 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelper.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelper.java
@@ -1,22 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
-import org.deeplearning4j.rl4j.helper.INDArrayHelper;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
 import org.nd4j.linalg.api.ndarray.INDArray;
@@ -25,10 +29,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.List;
 
-/**
- * A helper class for the n-step Q-Learning update algorithm. The algorithm is the same whether it's used with a RNN or
- * not but, the shape of INDArrays are different. This class handles the recurrent case.
- */
 public class RecurrentNStepQLearningHelper extends NStepQLearningHelper {
     private final int actionSpaceSize;
 
@@ -41,16 +41,6 @@ public class RecurrentNStepQLearningHelper extends NStepQLearningHelper {
         return Nd4j.create(1, actionSpaceSize, trainingBatchSize);
     }
 
-    @Override
-    protected INDArray createFeatureArray(int size, long[] observationShape) {
-        return INDArrayHelper.createRnnBatchForShape(size, observationShape);
-    }
-
-    @Override
-    protected void setFeature(INDArray features, long idx, INDArray data) {
-        getElementAtIndex(features, idx).assign(data);
-    }
-
     @Override
     public INDArray getExpectedQValues(INDArray allExpectedQValues, int idx) {
         return getElementAtIndex(allExpectedQValues, idx);
@@ -62,7 +52,7 @@ public class RecurrentNStepQLearningHelper extends NStepQLearningHelper {
     }
 
     @Override
-    public INDArray getTargetExpectedQValuesOfLast(IOutputNeuralNet target, List> trainingBatch, INDArray features) {
+    public INDArray getTargetExpectedQValuesOfLast(IOutputNeuralNet target, List> trainingBatch, Features features) {
         return getElementAtIndex(target.output(features).get(CommonOutputNames.QValues), trainingBatch.size() - 1);
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/ILearningBehavior.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/ILearningBehavior.java
index e38bd5c13..fe7b67886 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/ILearningBehavior.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/ILearningBehavior.java
@@ -1,28 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.behavior;
 
 import org.deeplearning4j.rl4j.observation.Observation;
 
-/**
- * The ILearningBehavior implementations are in charge of the training. Through this interface, they are
- * notified as new experience is generated.
- *
- * @param  The type of action
- */
 public interface ILearningBehavior {
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehavior.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehavior.java
index 40df1a063..1876a07fe 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehavior.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehavior.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.behavior;
 
 import lombok.Builder;
@@ -21,13 +25,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.IUpdateRule;
 import org.deeplearning4j.rl4j.experience.ExperienceHandler;
 import org.deeplearning4j.rl4j.observation.Observation;
 
-/**
- * A generic {@link ILearningBehavior} that delegates the handling of experience to a {@link ExperienceHandler} and
- * the update logic to a {@link IUpdateRule}
- *
- * @param  The type of the action
- * @param  The type of experience the ExperienceHandler needs
- */
 @Builder
 public class LearningBehavior implements ILearningBehavior {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Features.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Features.java
new file mode 100644
index 000000000..98c88c3ad
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Features.java
@@ -0,0 +1,47 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.agent.learning.update;
+
+import lombok.Getter;
+import org.nd4j.linalg.api.ndarray.INDArray;
+
+public class Features {
+
+    private final INDArray[] features;
+
+    /**
+     * The size of the batch
+     */
+    @Getter
+    private final long batchSize;
+
+    public Features(INDArray[] features) {
+        this.features = features;
+        batchSize = features[0].shape()[0];
+    }
+
+    /**
+     * @param channelIdx The channel to get
+     * @return A {@link INDArray} associated to the channel index
+     */
+    public INDArray get(int channelIdx) {
+        return features[channelIdx];
+    }
+}
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesBuilder.java
new file mode 100644
index 000000000..c2d7f16d8
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesBuilder.java
@@ -0,0 +1,197 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.agent.learning.update;
+
+import org.deeplearning4j.rl4j.helper.INDArrayHelper;
+import org.deeplearning4j.rl4j.observation.IObservationSource;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.indexing.INDArrayIndex;
+import org.nd4j.linalg.indexing.NDArrayIndex;
+
+import java.util.Iterator;
+import java.util.List;
+import java.util.stream.Stream;
+
+public class FeaturesBuilder {
+    private final boolean isRecurrent;
+    private int numChannels;
+    private long[][] shapeByChannel;
+
+    /**
+     * @param isRecurrent True if the network is a recurrent one.
+     */
+    public FeaturesBuilder(boolean isRecurrent) {
+        this.isRecurrent = isRecurrent;
+    }
+
+    /**
+     * Build a {@link Features} instance
+     * @param trainingBatch A container of observation list (see {@link IObservationSource})
+     * @return
+     */
+    public Features build(List trainingBatch) {
+        return new Features(createFeatures(trainingBatch));
+    }
+
+    /**
+     * Build a {@link Features} instance
+     * @param trainingBatch An observation stream
+     * @param size The total number of observations
+     * @return
+     */
+    public Features build(Stream trainingBatch, int size) {
+        return new Features(createFeatures(trainingBatch, size));
+    }
+
+    private INDArray[] createFeatures(List trainingBatch) {
+        int size = trainingBatch.size();
+
+        if(shapeByChannel == null) {
+            setMetadata(trainingBatch.get(0).getObservation());
+        }
+
+        INDArray[] features;
+        if(isRecurrent) {
+            features = recurrentCreateFeaturesArray(size);
+            INDArrayIndex[][] arrayIndicesByChannel = createChannelsArrayIndices(trainingBatch.get(0).getObservation());
+            for(int observationIdx = 0; observationIdx < size; ++observationIdx) {
+                Observation observation = trainingBatch.get(observationIdx).getObservation();
+                recurrentAddObservation(features, observationIdx, observation, arrayIndicesByChannel);
+            }
+        } else {
+            features = nonRecurrentCreateFeaturesArray(size);
+            for(int observationIdx = 0; observationIdx < size; ++observationIdx) {
+                Observation observation = trainingBatch.get(observationIdx).getObservation();
+                nonRecurrentAddObservation(features, observationIdx, observation);
+            }
+        }
+
+        return features;
+    }
+
+    private INDArray[] createFeatures(Stream trainingBatch, int size) {
+        INDArray[] features = null;
+        if(isRecurrent) {
+            Iterator it = trainingBatch.iterator();
+            int observationIdx = 0;
+            INDArrayIndex[][] arrayIndicesByChannel = null;
+            while (it.hasNext()) {
+                Observation observation = it.next();
+
+                if(shapeByChannel == null) {
+                    setMetadata(observation);
+                }
+
+                if(features == null) {
+                    features = recurrentCreateFeaturesArray(size);
+                    arrayIndicesByChannel = createChannelsArrayIndices(observation);
+                }
+
+                recurrentAddObservation(features, observationIdx++, observation, arrayIndicesByChannel);
+            }
+        } else {
+            Iterator it = trainingBatch.iterator();
+            int observationIdx = 0;
+            while (it.hasNext()) {
+                Observation observation = it.next();
+
+                if(shapeByChannel == null) {
+                    setMetadata(observation);
+                }
+
+                if(features == null) {
+                    features = nonRecurrentCreateFeaturesArray(size);
+                }
+
+                nonRecurrentAddObservation(features, observationIdx++, observation);
+            }
+        }
+
+        return features;
+    }
+
+    private void nonRecurrentAddObservation(INDArray[] features, int observationIdx, Observation observation) {
+        for(int channelIdx = 0; channelIdx < numChannels; ++channelIdx) {
+            features[channelIdx].putRow(observationIdx, observation.getChannelData(channelIdx));
+        }
+    }
+
+    private void recurrentAddObservation(INDArray[] features, int observationIdx, Observation observation, INDArrayIndex[][] arrayIndicesByChannel) {
+        INDArrayIndex[] arrayIndices;
+
+        for (int channelIdx = 0; channelIdx < numChannels; channelIdx++) {
+            INDArray channelData = observation.getChannelData(channelIdx);
+            arrayIndices = arrayIndicesByChannel[channelIdx];
+            arrayIndices[arrayIndices.length - 1] = NDArrayIndex.point(observationIdx);
+
+            features[channelIdx].get(arrayIndices).assign(channelData);
+        }
+    }
+
+    private INDArrayIndex[][] createChannelsArrayIndices(Observation observation) {
+        INDArrayIndex[][] result = new INDArrayIndex[numChannels][];
+        for (int channelIdx = 0; channelIdx < numChannels; channelIdx++) {
+            INDArray channelData = observation.getChannelData(channelIdx);
+
+            INDArrayIndex[] arrayIndices = new INDArrayIndex[channelData.shape().length];
+            arrayIndices[0] = NDArrayIndex.point(0);
+            for(int i = 1; i < arrayIndices.length - 1; ++i) {
+                arrayIndices[i] = NDArrayIndex.all();
+            }
+
+            result[channelIdx] = arrayIndices;
+        }
+
+        return result;
+    }
+
+    private void setMetadata(Observation observation) {
+        INDArray[] featuresData = observation.getChannelsData();
+        numChannels = observation.numChannels();
+        shapeByChannel = new long[numChannels][];
+        for (int channelIdx = 0; channelIdx < featuresData.length; ++channelIdx) {
+            shapeByChannel[channelIdx] = featuresData[channelIdx].shape();
+        }
+    }
+
+    private INDArray[] nonRecurrentCreateFeaturesArray(int size) {
+        INDArray[] features = new INDArray[numChannels];
+        for (int channelIdx = 0; channelIdx < numChannels; ++channelIdx) {
+            long[] observationShape = shapeByChannel[channelIdx];
+            features[channelIdx] = nonRecurrentCreateFeatureArray(size, observationShape);
+        }
+
+        return features;
+    }
+    protected INDArray nonRecurrentCreateFeatureArray(int size, long[] observationShape) {
+        return INDArrayHelper.createBatchForShape(size, observationShape);
+    }
+
+    private INDArray[] recurrentCreateFeaturesArray(int size) {
+        INDArray[] features = new INDArray[numChannels];
+        for (int channelIdx = 0; channelIdx < numChannels; ++channelIdx) {
+            long[] observationShape = shapeByChannel[channelIdx];
+            features[channelIdx] = INDArrayHelper.createRnnBatchForShape(size, observationShape);
+        }
+
+        return features;
+    }
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabels.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabels.java
index 3cc1b1dd5..c3651bfe8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabels.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabels.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import lombok.Getter;
@@ -20,20 +24,17 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.HashMap;
 
-/**
- * A container that holds the features and the associated labels.
- */
 public class FeaturesLabels {
 
     @Getter
-    private final INDArray features;
+    private final Features features;
 
     private final HashMap labels = new HashMap();
 
     /**
      * @param features
      */
-    public FeaturesLabels(INDArray features) {
+    public FeaturesLabels(Features features) {
         this.features = features;
     }
 
@@ -41,7 +42,7 @@ public class FeaturesLabels {
      * @return The number of examples in features and each labels.
      */
     public long getBatchSize() {
-        return features.shape()[0];
+        return features.getBatchSize();
     }
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Gradients.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Gradients.java
index 3c63224df..bbdbad9e9 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Gradients.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/Gradients.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import lombok.Getter;
@@ -20,9 +24,6 @@ import org.deeplearning4j.nn.gradient.Gradient;
 
 import java.util.HashMap;
 
-/**
- * A {@link Gradient} container used to update neural networks.
- */
 public class Gradients {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/IUpdateRule.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/IUpdateRule.java
index c022e3ebd..e8ebb660e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/IUpdateRule.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/IUpdateRule.java
@@ -1,27 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import java.util.List;
 
-/**
- * The role of IUpdateRule implementations is to use an experience batch to improve the accuracy of the policy.
- * Used by {@link org.deeplearning4j.rl4j.agent.AgentLearner AgentLearner}
- * @param  The type of the experience
- */
 public interface IUpdateRule {
     /**
      * Perform the update
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRule.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRule.java
index 36d0b1941..ae0e6985e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRule.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRule.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import lombok.Getter;
@@ -22,13 +26,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.updater.INeuralNetUpdater;
 
 import java.util.List;
 
-/**
- * This implementation of {@link IUpdateRule} delegates the features-labels or gradients computations to
- * a {@link IUpdateAlgorithm}, and the networks update to a {@link INeuralNetUpdater}.
- *
- * @param  The type of result returned by the IUpdateAlgorithm
- * @param  The type of experience
- */
 public class UpdateRule implements IUpdateRule {
 
     private final INeuralNetUpdater updater;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/INeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/INeuralNetUpdater.java
index 4fb549911..402ba618a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/INeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/INeuralNetUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater;
 
 /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/NeuralNetUpdaterConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/NeuralNetUpdaterConfiguration.java
index da7d01273..a1d747d76 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/NeuralNetUpdaterConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/NeuralNetUpdaterConfiguration.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update.updater;
 
 import lombok.Builder;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdater.java
index 8b9a6064b..23465b5dc 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdater.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.INeuralNetUpdater;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INeuralNetUpdater} that updates a neural network and sync a target network at defined intervals
- */
 public class AsyncGradientsNeuralNetUpdater extends BaseAsyncNeuralNetUpdater {
     /**
      * @param threadCurrent The thread-current network
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdater.java
index 06d0a80e5..f3142e143 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
@@ -20,9 +24,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.INeuralNetUpdater;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INeuralNetUpdater} that updates a neural network and sync a target network at defined intervals
- */
 public class AsyncLabelsNeuralNetUpdater extends BaseAsyncNeuralNetUpdater {
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandler.java
index 3964d489e..4ab701c00 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import lombok.Getter;
@@ -22,9 +26,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.updater.NeuralNetUpdaterCon
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.nd4j.common.base.Preconditions;
 
-/**
- * A class that applies updates to the global current network and synchronize the target network
- */
 public class AsyncSharedNetworksUpdateHandler {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/BaseAsyncNeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/BaseAsyncNeuralNetUpdater.java
index ee0386eba..cc132081f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/BaseAsyncNeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/BaseAsyncNeuralNetUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import lombok.NonNull;
@@ -20,9 +24,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.INeuralNetUpdater;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INeuralNetUpdater} that updates a neural network and sync a target network at defined intervals
- */
 public abstract class BaseAsyncNeuralNetUpdater implements INeuralNetUpdater {
     protected final ITrainableNeuralNet threadCurrent;
     private final AsyncSharedNetworksUpdateHandler sharedNetworksUpdateHandler;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/BaseSyncNeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/BaseSyncNeuralNetUpdater.java
index 20716ed2f..136ba55f3 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/BaseSyncNeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/BaseSyncNeuralNetUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.sync;
 
 import lombok.NonNull;
@@ -21,9 +25,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.updater.NeuralNetUpdaterCon
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.nd4j.common.base.Preconditions;
 
-/**
- * A {@link INeuralNetUpdater} that updates a neural network and sync a target network at defined intervals
- */
 public abstract class BaseSyncNeuralNetUpdater implements INeuralNetUpdater {
     protected final ITrainableNeuralNet current;
     private final ITrainableNeuralNet target;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdater.java
index 52d496cfa..aac9197ca 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.sync;
 
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
@@ -20,9 +24,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.updater.INeuralNetUpdater;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.NeuralNetUpdaterConfiguration;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INeuralNetUpdater} that updates a neural network and sync a target network at defined intervals
- */
 public class SyncGradientsNeuralNetUpdater extends BaseSyncNeuralNetUpdater {
     public SyncGradientsNeuralNetUpdater(ITrainableNeuralNet current,
                                          ITrainableNeuralNet target,
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdater.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdater.java
index 1ed7f3bce..a575ffdb6 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdater.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdater.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.learning.update.updater.sync;
 
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
@@ -20,9 +24,6 @@ import org.deeplearning4j.rl4j.agent.learning.update.updater.INeuralNetUpdater;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.NeuralNetUpdaterConfiguration;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INeuralNetUpdater} that updates a neural network and sync a target network at defined intervals
- */
 public class SyncLabelsNeuralNetUpdater extends BaseSyncNeuralNetUpdater {
 
     public SyncLabelsNeuralNetUpdater(ITrainableNeuralNet current,
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListener.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListener.java
index b77df86c0..d064357ec 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListener.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.listener;
 
 import org.deeplearning4j.rl4j.agent.Agent;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListenerList.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListenerList.java
index 1c18dd605..7eedce84c 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListenerList.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/agent/listener/AgentListenerList.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.agent.listener;
 
 import org.deeplearning4j.rl4j.agent.Agent;
@@ -22,10 +26,6 @@ import org.deeplearning4j.rl4j.observation.Observation;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * A class that manages a list of {@link AgentListener AgentListeners} listening to an {@link Agent}.
- * @param 
- */
 public class AgentListenerList {
     protected final List> listeners = new ArrayList<>();
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AdvantageActorCriticBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AdvantageActorCriticBuilder.java
index ba19c5cdb..2a437a371 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AdvantageActorCriticBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AdvantageActorCriticBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Data;
@@ -27,23 +31,13 @@ import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.async.AsyncSharedNetworksUpdateHandler;
 import org.deeplearning4j.rl4j.environment.Environment;
 import org.deeplearning4j.rl4j.environment.IActionSchema;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.deeplearning4j.rl4j.policy.ACPolicy;
 import org.deeplearning4j.rl4j.policy.IPolicy;
 import org.nd4j.linalg.api.rng.Random;
 
-/**
- * A {@link IAgentLearner} builder that will setup a {@link AdvantageActorCritic Advantage Actor Critic} algorithm with these:
- * 
      • a specialized actor critic policy
        • 
- * 
      • a n-step state-action-reward experience handler
        • 
- * 
      • a neural net updater that expects gradient update data
        • 
- * 
      • a advantage actor critic gradient conputation algorithm
        • 
- * 
        
- * Note: The network needs the {@link org.deeplearning4j.rl4j.network.ac.ActorCriticLoss ActorCriticLoss} as the
- * policy network loss function
- */
 public class AdvantageActorCriticBuilder extends BaseAsyncAgentLearnerBuilder {
 
     private final Random rnd;
@@ -67,7 +61,7 @@ public class AdvantageActorCriticBuilder extends BaseAsyncAgentLearnerBuilder> buildUpdateAlgorithm() {
+    protected IUpdateAlgorithm> buildUpdateAlgorithm() {
         IActionSchema actionSchema = getEnvironment().getSchema().getActionSchema();
         return new AdvantageActorCritic(networks.getThreadCurrentNetwork(), actionSchema.getActionSpaceSize(), configuration.getAdvantageActorCriticConfiguration());
     }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AsyncNetworkHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AsyncNetworkHandler.java
index c388c8daf..522fdeb5a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AsyncNetworkHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/AsyncNetworkHandler.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Getter;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INetworksHandler} implementation for synchronous setups.
        
- * The target network is cloned from the input network
- * The thread-current and the global-current uses the input network directly.
- * Note that there is no difference between the thread-current and the global-current in a sync setup.
- */
 public class AsyncNetworkHandler implements INetworksHandler {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilder.java
index 7eb9d4c58..5418d266d 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.AccessLevel;
@@ -38,15 +42,6 @@ import org.deeplearning4j.rl4j.policy.IPolicy;
 
 import java.util.List;
 
-/**
- * A base {@link IAgentLearner} builder that should be helpful in several common scenarios. 
        
- * Note: Classes implementing BaseAgentLearnerBuilder should be careful not to re-use a stateful and/or non thread-safe dependency
- * through several calls to build(). In doubt, use a new instance.
- * @param  The type of action
- * @param  The type of experiences
- * @param  The response type of {@link org.deeplearning4j.rl4j.network.IOutputNeuralNet IOutputNeuralNet}.output()
- * @param  The type of the configuration
- */
 public abstract class BaseAgentLearnerBuilder> implements Builder> {
 
     protected final CONFIGURATION_TYPE configuration;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAsyncAgentLearnerBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAsyncAgentLearnerBuilder.java
index 2855fac14..6a0cb0f07 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAsyncAgentLearnerBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseAsyncAgentLearnerBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Data;
@@ -28,23 +32,12 @@ import org.deeplearning4j.rl4j.agent.learning.update.updater.async.AsyncSharedNe
 import org.deeplearning4j.rl4j.environment.Environment;
 import org.deeplearning4j.rl4j.experience.ExperienceHandler;
 import org.deeplearning4j.rl4j.experience.StateActionExperienceHandler;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.deeplearning4j.rl4j.policy.EpsGreedy;
-import org.nd4j.common.base.Preconditions;
 
-/**
- * A base {@link IAgentLearner} builder that should be helpful in several common asynchronous scenarios. 
        
- * Note: Classes implementing BaseAsyncAgentLearnerBuilder should be careful not to re-use a stateful and/or non thread-safe dependency
- * through several calls to build(). In doubt, use a new instance.
- * 
        
- * This will configure these dependencies:
- * 
      • a {@link StateActionExperienceHandler}
        • 
- * 
      • a {@link AsyncGradientsNeuralNetUpdater gradient neural net updater}
        • 
- * @param  The type of the configuration
- */
-public abstract class BaseAsyncAgentLearnerBuilder extends BaseAgentLearnerBuilder, Gradients, CONFIGURATION_TYPE> {
+public abstract class BaseAsyncAgentLearnerBuilder extends BaseAgentLearnerBuilder, Gradients, CONFIGURATION_TYPE> {
 
     private final AsyncSharedNetworksUpdateHandler asyncSharedNetworksUpdateHandler;
 
@@ -58,7 +51,7 @@ public abstract class BaseAsyncAgentLearnerBuilder> buildExperienceHandler() {
+    protected ExperienceHandler> buildExperienceHandler() {
         return new StateActionExperienceHandler(configuration.getExperienceHandlerConfiguration());
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseDQNAgentLearnerBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseDQNAgentLearnerBuilder.java
index 5516efdc5..201e8270c 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseDQNAgentLearnerBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/BaseDQNAgentLearnerBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Data;
@@ -29,7 +33,7 @@ import org.deeplearning4j.rl4j.environment.Environment;
 import org.deeplearning4j.rl4j.environment.IActionSchema;
 import org.deeplearning4j.rl4j.experience.ExperienceHandler;
 import org.deeplearning4j.rl4j.experience.ReplayMemoryExperienceHandler;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.deeplearning4j.rl4j.policy.DQNPolicy;
@@ -39,15 +43,7 @@ import org.deeplearning4j.rl4j.policy.IPolicy;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.rng.Random;
 
-/**
- * A base {@link IAgentLearner} builder that will setup these:
- * 
      • a epsilon-greedy policy
        • 
- * 
      • a replay-memory experience handler
        • 
- * 
      • a neural net updater that expects feature-labels update data
        • 
- *
- * Used as the base of DQN builders.
- */
-public abstract class BaseDQNAgentLearnerBuilder extends BaseAgentLearnerBuilder, FeaturesLabels, CONFIGURATION_TYPE> {
+public abstract class BaseDQNAgentLearnerBuilder extends BaseAgentLearnerBuilder, FeaturesLabels, CONFIGURATION_TYPE> {
 
     private final Random rnd;
 
@@ -71,7 +67,7 @@ public abstract class BaseDQNAgentLearnerBuilder> buildExperienceHandler() {
+    protected ExperienceHandler> buildExperienceHandler() {
         return new ReplayMemoryExperienceHandler(configuration.getExperienceHandlerConfiguration(), rnd);
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/DoubleDQNBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/DoubleDQNBuilder.java
index 38fa48863..329f4a2a0 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/DoubleDQNBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/DoubleDQNBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Data;
@@ -24,7 +28,7 @@ import org.deeplearning4j.rl4j.agent.learning.algorithm.IUpdateAlgorithm;
 import org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.DoubleDQN;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.environment.Environment;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.nd4j.linalg.api.rng.Random;
@@ -44,7 +48,7 @@ public class DoubleDQNBuilder extends BaseDQNAgentLearnerBuilder> buildUpdateAlgorithm() {
+    protected IUpdateAlgorithm> buildUpdateAlgorithm() {
         return new DoubleDQN(networks.getThreadCurrentNetwork(), networks.getTargetNetwork(), configuration.getUpdateAlgorithmConfiguration());
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/INetworksHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/INetworksHandler.java
index 5290a2501..c7f59b244 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/INetworksHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/INetworksHandler.java
@@ -1,25 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * An interface that abstract what the different networks are depending on the setup (sync vs async)
- */
 public interface INetworksHandler {
     /**
      * @return The global shared target parameters θ–
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/NStepQLearningBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/NStepQLearningBuilder.java
index a2f23dc8f..626987d3b 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/NStepQLearningBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/NStepQLearningBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Data;
@@ -26,7 +30,7 @@ import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.agent.learning.update.updater.async.AsyncSharedNetworksUpdateHandler;
 import org.deeplearning4j.rl4j.environment.Environment;
 import org.deeplearning4j.rl4j.environment.IActionSchema;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.deeplearning4j.rl4j.policy.DQNPolicy;
@@ -36,13 +40,6 @@ import org.deeplearning4j.rl4j.policy.IPolicy;
 import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.rng.Random;
 
-/**
- * A {@link IAgentLearner} builder that will setup a {@link NStepQLearning n-step Q-Learning} algorithm with these:
- * 
      • a epsilon-greedy policy
        • 
- * 
      • a n-step state-action-reward experience handler
        • 
- * 
      • a neural net updater that expects gradient update data
        • 
- * 
      • a n-step Q-Learning gradient conputation algorithm
        • 
- */
 public class NStepQLearningBuilder extends BaseAsyncAgentLearnerBuilder {
 
     private final Random rnd;
@@ -69,7 +66,7 @@ public class NStepQLearningBuilder extends BaseAsyncAgentLearnerBuilder> buildUpdateAlgorithm() {
+    protected IUpdateAlgorithm> buildUpdateAlgorithm() {
         IActionSchema actionSchema = getEnvironment().getSchema().getActionSchema();
         return new NStepQLearning(networks.getThreadCurrentNetwork(), networks.getTargetNetwork(), actionSchema.getActionSpaceSize(), configuration.getNstepQLearningConfiguration());
     }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/StandardDQNBuilder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/StandardDQNBuilder.java
index f1935ad8c..338a83ac1 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/StandardDQNBuilder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/StandardDQNBuilder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Data;
@@ -24,7 +28,7 @@ import org.deeplearning4j.rl4j.agent.learning.algorithm.IUpdateAlgorithm;
 import org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.environment.Environment;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
 import org.nd4j.linalg.api.rng.Random;
@@ -44,7 +48,7 @@ public class StandardDQNBuilder extends BaseDQNAgentLearnerBuilder> buildUpdateAlgorithm() {
+    protected IUpdateAlgorithm> buildUpdateAlgorithm() {
         return new StandardDQN(networks.getThreadCurrentNetwork(), networks.getTargetNetwork(), configuration.getUpdateAlgorithmConfiguration());
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/SyncNetworkHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/SyncNetworkHandler.java
index ba8e971aa..da23fbead 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/SyncNetworkHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/builder/SyncNetworkHandler.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.builder;
 
 import lombok.Getter;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
 
-/**
- * A {@link INetworksHandler} implementation for synchronous setups.
        
- * The target network is cloned from the input network
- * The thread-current and the global-current uses the input network directly.
- * Note that there is no difference between the thread-current and the global-current in a sync setup.
- */
 public class SyncNetworkHandler implements INetworksHandler {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Environment.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Environment.java
index ad3ab3f51..e610cf9a8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Environment.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Environment.java
@@ -1,26 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.environment;
 
 import java.util.Map;
 
-/**
- * An interface for environments used by the {@link org.deeplearning4j.rl4j.agent.Agent Agents}.
- * @param  The type of actions
- */
 public interface Environment {
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IActionSchema.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IActionSchema.java
index eed58d86a..bba285f6a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IActionSchema.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IActionSchema.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.environment;
 
 import lombok.Value;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IntegerActionSchema.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IntegerActionSchema.java
index 0a1e34a23..580991840 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IntegerActionSchema.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/IntegerActionSchema.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.environment;
 
 import lombok.Getter;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Schema.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Schema.java
index 7e36e29eb..d150e67df 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Schema.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/Schema.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.environment;
 
 import lombok.Value;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/StepResult.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/StepResult.java
index 95f0f4660..fe28ab587 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/StepResult.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/environment/StepResult.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.environment;
 
 import lombok.Value;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ExperienceHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ExperienceHandler.java
index e15c08415..38ced6235 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ExperienceHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ExperienceHandler.java
@@ -1,32 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.experience;
 
 import org.deeplearning4j.rl4j.observation.Observation;
 
 import java.util.List;
 
-/**
- * A common interface to all classes capable of handling experience generated by the agents in a learning context.
- *
- * @param  Action type
- * @param  Experience type
- *
- * @author Alexandre Boulanger
- */
 public interface ExperienceHandler {
     void addExperience(Observation observation, A action, double reward, boolean isTerminal);
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandler.java
index 66104c992..e3bd46059 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.experience;
 
 import lombok.Builder;
@@ -21,28 +25,20 @@ import lombok.EqualsAndHashCode;
 import lombok.experimental.SuperBuilder;
 import org.deeplearning4j.rl4j.learning.sync.ExpReplay;
 import org.deeplearning4j.rl4j.learning.sync.IExpReplay;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.nd4j.linalg.api.rng.Random;
 
 import java.util.List;
 
-/**
- * A experience handler that stores the experience in a replay memory. See https://arxiv.org/abs/1312.5602
- * The experience container is a {@link Transition Transition} that stores the tuple observation-action-reward-nextObservation,
- * as well as whether or the not the episode ended after the Transition
- *
- * @param  Action type
- */
 @EqualsAndHashCode
-public class ReplayMemoryExperienceHandler implements ExperienceHandler> {
+public class ReplayMemoryExperienceHandler implements ExperienceHandler> {
     private static final int DEFAULT_MAX_REPLAY_MEMORY_SIZE = 150000;
     private static final int DEFAULT_BATCH_SIZE = 32;
     private final int batchSize;
 
     private IExpReplay expReplay;
 
-    private Transition pendingTransition;
+    private StateActionRewardState pendingStateActionRewardState;
 
     public ReplayMemoryExperienceHandler(IExpReplay expReplay) {
         this.expReplay = expReplay;
@@ -55,12 +51,12 @@ public class ReplayMemoryExperienceHandler implements ExperienceHandler(observation, action, reward, isTerminal);
+        pendingStateActionRewardState = new StateActionRewardState<>(observation, action, reward, isTerminal);
     }
 
     public void setFinalObservation(Observation observation) {
         setNextObservationOnPending(observation);
-        pendingTransition = null;
+        pendingStateActionRewardState = null;
     }
 
     @Override
@@ -77,19 +73,19 @@ public class ReplayMemoryExperienceHandler implements ExperienceHandler> generateTrainingBatch() {
+    public List> generateTrainingBatch() {
         return expReplay.getBatch();
     }
 
     @Override
     public void reset() {
-        pendingTransition = null;
+        pendingStateActionRewardState = null;
     }
 
     private void setNextObservationOnPending(Observation observation) {
-        if(pendingTransition != null) {
-            pendingTransition.setNextObservation(observation);
-            expReplay.store(pendingTransition);
+        if(pendingStateActionRewardState != null) {
+            pendingStateActionRewardState.setNextObservation(observation);
+            expReplay.store(pendingStateActionRewardState);
         }
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandler.java
index b81a5fcc0..ac5ae7cac 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.experience;
 
 import lombok.Builder;
@@ -23,15 +27,7 @@ import org.deeplearning4j.rl4j.observation.Observation;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * A simple {@link ExperienceHandler experience handler} that stores the experiences.
- * Note: Calling {@link StateActionExperienceHandler#generateTrainingBatch() generateTrainingBatch()} will clear the stored experiences
- *
- * @param  Action type
- *
- * @author Alexandre Boulanger
- */
-public class StateActionExperienceHandler implements ExperienceHandler> {
+public class StateActionExperienceHandler implements ExperienceHandler> {
     private static final int DEFAULT_BATCH_SIZE = 8;
 
     private final int batchSize;
@@ -42,25 +38,25 @@ public class StateActionExperienceHandler implements ExperienceHandler> stateActionPairs = new ArrayList<>();
+    private List> stateActionRewards = new ArrayList<>();
 
     public void setFinalObservation(Observation observation) {
         isFinalObservationSet = true;
     }
 
     public void addExperience(Observation observation, A action, double reward, boolean isTerminal) {
-        stateActionPairs.add(new StateActionPair(observation, action, reward, isTerminal));
+        stateActionRewards.add(new StateActionReward(observation, action, reward, isTerminal));
     }
 
     @Override
     public int getTrainingBatchSize() {
-        return stateActionPairs.size();
+        return stateActionRewards.size();
     }
 
     @Override
     public boolean isTrainingBatchReady() {
-        return stateActionPairs.size() >= batchSize
-                || (isFinalObservationSet && stateActionPairs.size() > 0);
+        return stateActionRewards.size() >= batchSize
+                || (isFinalObservationSet && stateActionRewards.size() > 0);
     }
 
     /**
@@ -70,16 +66,16 @@ public class StateActionExperienceHandler implements ExperienceHandler> generateTrainingBatch() {
-        List> result = stateActionPairs;
-        stateActionPairs = new ArrayList<>();
+    public List> generateTrainingBatch() {
+        List> result = stateActionRewards;
+        stateActionRewards = new ArrayList<>();
 
         return result;
     }
 
     @Override
     public void reset() {
-        stateActionPairs = new ArrayList<>();
+        stateActionRewards = new ArrayList<>();
         isFinalObservationSet = false;
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionPair.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionPair.java
deleted file mode 100644
index 959881eb5..000000000
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionPair.java
+++ /dev/null
@@ -1,49 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-package org.deeplearning4j.rl4j.experience;
-
-import lombok.AllArgsConstructor;
-import lombok.Getter;
-import org.deeplearning4j.rl4j.observation.Observation;
-
-/**
- * A simple experience container. Used by {@link StateActionExperienceHandler StateActionExperienceHandler}.
- *
- * @param  Action type
- *
- * @author Alexandre Boulanger
- */
-@AllArgsConstructor
-public class StateActionPair {
-
-    /**
-     * The observation before the action is taken
-     */
-    @Getter
-    private final Observation observation;
-
-    @Getter
-    private final A action;
-
-    @Getter
-    private final double reward;
-
-    /**
-     * True if the episode ended after the action has been taken.
-     */
-    @Getter
-    private final boolean terminal;
-}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionReward.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionReward.java
new file mode 100644
index 000000000..6787a5ee1
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionReward.java
@@ -0,0 +1,47 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.experience;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import org.deeplearning4j.rl4j.observation.IObservationSource;
+import org.deeplearning4j.rl4j.observation.Observation;
+
+@AllArgsConstructor
+public class StateActionReward implements IObservationSource {
+
+    /**
+     * The observation before the action is taken
+     */
+    @Getter
+    private final Observation observation;
+
+    @Getter
+    private final A action;
+
+    @Getter
+    private final double reward;
+
+    /**
+     * True if the episode ended after the action has been taken.
+     */
+    @Getter
+    private final boolean terminal;
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionRewardState.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionRewardState.java
new file mode 100644
index 000000000..de7369bb1
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/experience/StateActionRewardState.java
@@ -0,0 +1,67 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j.experience;
+
+import lombok.Data;
+import lombok.Getter;
+import lombok.Setter;
+import org.deeplearning4j.rl4j.observation.IObservationSource;
+import org.deeplearning4j.rl4j.observation.Observation;
+
+@Data
+public class StateActionRewardState implements IObservationSource {
+
+    @Getter
+    Observation observation;
+
+    A action;
+    double reward;
+    boolean isTerminal;
+
+    @Getter @Setter
+    Observation nextObservation;
+
+    public StateActionRewardState(Observation observation, A action, double reward, boolean isTerminal) {
+        this.observation = observation;
+        this.action = action;
+        this.reward = reward;
+        this.isTerminal = isTerminal;
+        this.nextObservation = null;
+    }
+
+    private StateActionRewardState(Observation observation, A action, double reward, boolean isTerminal, Observation nextObservation) {
+        this.observation = observation;
+        this.action = action;
+        this.reward = reward;
+        this.isTerminal = isTerminal;
+        this.nextObservation = nextObservation;
+    }
+
+    /**
+     * @return a duplicate of this instance
+     */
+    public StateActionRewardState dup() {
+        Observation dupObservation = observation.dup();
+        Observation nextObs = nextObservation.dup();
+
+        return new StateActionRewardState(dupObservation, action, reward, isTerminal, nextObs);
+    }
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/helper/INDArrayHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/helper/INDArrayHelper.java
index d2c46482f..375c405e5 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/helper/INDArrayHelper.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/helper/INDArrayHelper.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.helper;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
@@ -66,6 +70,7 @@ public class INDArrayHelper {
      * @param batchSize The size of the batch to create
      * @param shape The shape of individual elements.
      *              Note: all shapes in RL4J should have a batch size as dimension 0; in this case the batch size should be 1.
+     *                    And recurrent INDArrays should have their time-serie dimension as the last.
      * @return A INDArray
      */
     public static INDArray createRnnBatchForShape(long batchSize, long... shape) {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/HistoryProcessor.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/HistoryProcessor.java
index 010870a65..898a2050f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/HistoryProcessor.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/HistoryProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
@@ -34,11 +38,6 @@ import org.bytedeco.opencv.opencv_core.*;
 import static org.bytedeco.opencv.global.opencv_core.*;
 import static org.bytedeco.opencv.global.opencv_imgproc.*;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/27/16.
- *
- * An IHistoryProcessor implementation using JavaCV
- */
 @Slf4j
 public class HistoryProcessor implements IHistoryProcessor {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IEpochTrainer.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IEpochTrainer.java
index 082357b9a..4b5038535 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IEpochTrainer.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IEpochTrainer.java
@@ -1,34 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
 import org.deeplearning4j.rl4j.mdp.MDP;
 
-/**
- * The common API between Learning and AsyncThread.
- *
- * Express the ability to count the number of step of the current training.
- * Factorisation of a feature between threads in async and learning process
- * for the web monitoring
- *
- * @author Alexandre Boulanger
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- */
 public interface IEpochTrainer {
     int getStepCount();
     int getEpochCount();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IHistoryProcessor.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IHistoryProcessor.java
index 78c8fbe57..37b4dbc7a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IHistoryProcessor.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/IHistoryProcessor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
@@ -21,13 +25,6 @@ import lombok.Builder;
 import lombok.Data;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/6/16.
- *
- * An IHistoryProcessor come directly from the atari DQN paper.
- * It applies pre-processing the pixels of one state (gray-scaling + resizing)
- * then stacks it in different channels to be fed to a conv net
- */
 public interface IHistoryProcessor {
 
     Configuration getConf();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/ILearning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/ILearning.java
index 0d1b5bea2..6552fb095 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/ILearning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/ILearning.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
@@ -23,11 +26,6 @@ import org.deeplearning4j.rl4j.policy.IPolicy;
 import org.deeplearning4j.rl4j.space.ActionSpace;
 import org.deeplearning4j.rl4j.space.Encodable;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/19/16.
- *
- * A common interface that any training method should implement
- */
 public interface ILearning> {
 
     IPolicy getPolicy();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/Learning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/Learning.java
index ba88454a7..93d0d63a8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/Learning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/Learning.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
@@ -27,15 +31,6 @@ import org.deeplearning4j.rl4j.space.Encodable;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/27/16.
- *
- * Useful factorisations and helper methods for class inheriting
- * ILearning.
- *
- * Big majority of training method should inherit this
- *
- */
 @Slf4j
 public abstract class Learning, NN extends NeuralNet>
                 implements ILearning, NeuralNetFetchable {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/NeuralNetFetchable.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/NeuralNetFetchable.java
index 8b816ba89..d60df10b1 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/NeuralNetFetchable.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/NeuralNetFetchable.java
@@ -1,29 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
 import org.deeplearning4j.rl4j.network.NeuralNet;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/19/16.
- *
- * Common interface for all training that contain a neural net
- * fetchable for evaluation
- */
 public interface NeuralNetFetchable {
 
     NN getNeuralNet();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncGlobal.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncGlobal.java
index 20d74d4d8..d06debb2e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncGlobal.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncGlobal.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
@@ -26,29 +29,6 @@ import org.deeplearning4j.rl4j.network.NeuralNet;
 import java.util.concurrent.locks.Lock;
 import java.util.concurrent.locks.ReentrantLock;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- * 
        
- * In the original paper, the authors uses Asynchronous
- * Gradient Descent: Hogwild! It is a way to apply gradients
- * and modify a model in a lock-free manner.
- * 
        
- * As a way to implement this with dl4j, it is unfortunately
- * necessary at the time of writing to apply the gradient
- * (update the parameters) on a single separate global thread.
- * 
        
- * This Central thread for Asynchronous Method of reinforcement learning
- * enqueue the gradients coming from the different threads and update its
- * model and target. Those neurals nets are then synced by the other threads.
- * 
        
- * The benefits of this thread is that the updater is "shared" between all thread
- * we have a single updater which is the single updater of the model contained here
- * 
        
- * This is similar to RMSProp with shared g and momentum
- * 
        
- * When Hogwild! is implemented, this could be replaced by a simple data
- * structure
- */
 @Slf4j
 public class AsyncGlobal implements IAsyncGlobal {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncLearning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncLearning.java
index ab6284396..a0a4a7a4a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncLearning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncLearning.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
@@ -31,14 +34,6 @@ import org.deeplearning4j.rl4j.space.ActionSpace;
 import org.deeplearning4j.rl4j.space.Encodable;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * The entry point for async training. This class will start a number ({@link AsyncQLearningConfiguration#getNumThreads()
- * configuration.getNumThread()}) of worker threads. Then, it will monitor their progress at regular intervals
- * (see setProgressEventInterval(int))
- *
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/25/16.
- * @author Alexandre Boulanger
- */
 @Slf4j
 public abstract class AsyncLearning, NN extends NeuralNet>
                 extends Learning
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThread.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThread.java
index 74123d0d2..fe6a7bc22 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThread.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThread.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
@@ -40,16 +43,6 @@ import org.deeplearning4j.rl4j.util.IDataManager;
 import org.deeplearning4j.rl4j.util.LegacyMDPWrapper;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * This represent a local thread that explore the environment
- * and calculate a gradient to enqueue to the global thread/model
- *
- * It has its own version of a model that it syncs at the start of every
- * sub epoch
- *
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- * @author Alexandre Boulanger
- */
 @Slf4j
 public abstract class AsyncThread, NN extends NeuralNet>
                 extends Thread implements IEpochTrainer {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscrete.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscrete.java
index a9158955f..00aeb7599 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscrete.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscrete.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
@@ -34,11 +36,6 @@ import org.deeplearning4j.rl4j.observation.Observation;
 import org.deeplearning4j.rl4j.policy.IPolicy;
 import org.deeplearning4j.rl4j.space.DiscreteSpace;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- * 
        
- * Async Learning specialized for the Discrete Domain
- */
 public abstract class AsyncThreadDiscrete
         extends AsyncThread {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncGlobal.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncGlobal.java
index 8f6bf46bf..cd326c1e4 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncGlobal.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncGlobal.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncLearning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncLearning.java
index 6bae9fddf..9eeab76a0 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncLearning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/IAsyncLearning.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/UpdateAlgorithm.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/UpdateAlgorithm.java
index c5bb7c84c..36e2dc967 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/UpdateAlgorithm.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/UpdateAlgorithm.java
@@ -1,26 +1,30 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.learning.async;
 
 import org.deeplearning4j.nn.gradient.Gradient;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.NeuralNet;
 
 import java.util.List;
 
 public interface UpdateAlgorithm {
-    Gradient[] computeGradients(NN current, List> experience);
+    Gradient[] computeGradients(NN current, List> experience);
 }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscrete.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscrete.java
index e910ecc41..4610fe955 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscrete.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscrete.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.a3c.discrete;
 
@@ -34,13 +37,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/23/16.
- * Training for A3C in the Discrete Domain
- * 
        
- * All methods are fully implemented as described in the
- * https://arxiv.org/abs/1602.01783 paper.
- */
 public abstract class A3CDiscrete extends AsyncLearning {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteConv.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteConv.java
index 08fec8a94..b90994d94 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteConv.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteConv.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.a3c.discrete;
 
@@ -30,18 +33,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.deeplearning4j.rl4j.util.DataManagerTrainingListener;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/8/16.
- * 
        
- * Training for A3C in the Discrete Domain
- * 
        
- * Specialized constructors for the Conv (pixels input) case
- * Specialized conf + provide additional type safety
- * 
        
- * It uses CompGraph because there is benefit to combine the
- * first layers since they're essentially doing the same dimension
- * reduction task
- **/
 public class A3CDiscreteConv extends A3CDiscrete {
 
     final private HistoryProcessor.Configuration hpconf;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteDense.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteDense.java
index 5fd68f571..70dd19988 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteDense.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CDiscreteDense.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.a3c.discrete;
 
@@ -26,14 +29,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.deeplearning4j.rl4j.util.DataManagerTrainingListener;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/8/16.
- * 
        
- * Training for A3C in the Discrete Domain
- * 
        
- * We use specifically the Separate version because
- * the model is too small to have enough benefit by sharing layers
- */
 public class A3CDiscreteDense extends A3CDiscrete {
 
     @Deprecated
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CThreadDiscrete.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CThreadDiscrete.java
index 2283576f5..5be2e958e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CThreadDiscrete.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/A3CThreadDiscrete.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.a3c.discrete;
 
@@ -29,12 +32,8 @@ import org.deeplearning4j.rl4j.policy.Policy;
 import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.factory.Nd4j;
+import org.nd4j.linalg.api.rng.Random;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/23/16.
- * 
        
- * Local thread as described in the https://arxiv.org/abs/1602.01783 paper.
- */
 public class A3CThreadDiscrete extends AsyncThreadDiscrete {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithm.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithm.java
index 701f09276..20121a7b3 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithm.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithm.java
@@ -1,22 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.learning.async.a3c.discrete;
 
 import org.deeplearning4j.nn.gradient.Gradient;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.learning.Learning;
 import org.deeplearning4j.rl4j.learning.async.UpdateAlgorithm;
 import org.deeplearning4j.rl4j.network.ac.IActorCritic;
@@ -26,9 +30,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 
 import java.util.List;
 
-/**
- * The Advantage Actor-Critic update algorithm can be used by A2C and A3C algorithms alike
- */
 public class AdvantageActorCriticUpdateAlgorithm implements UpdateAlgorithm {
 
     private final int[] shape;
@@ -49,7 +50,7 @@ public class AdvantageActorCriticUpdateAlgorithm implements UpdateAlgorithm> experience) {
+    public Gradient[] computeGradients(IActorCritic current, List> experience) {
         int size = experience.size();
 
         int[] nshape = recurrent ? Learning.makeShape(1, shape, size)
@@ -60,23 +61,23 @@ public class AdvantageActorCriticUpdateAlgorithm implements UpdateAlgorithm stateActionPair = experience.get(size - 1);
+        StateActionReward stateActionReward = experience.get(size - 1);
         double value;
-        if (stateActionPair.isTerminal()) {
+        if (stateActionReward.isTerminal()) {
             value = 0;
         } else {
-            INDArray[] output = current.outputAll(stateActionPair.getObservation().getData());
+            INDArray[] output = current.outputAll(stateActionReward.getObservation().getChannelData(0));
             value = output[0].getDouble(0);
         }
 
         for (int i = size - 1; i >= 0; --i) {
-            stateActionPair = experience.get(i);
+            stateActionReward = experience.get(i);
 
-            INDArray observationData = stateActionPair.getObservation().getData();
+            INDArray observationData = stateActionReward.getObservation().getChannelData(0);
 
             INDArray[] output = current.outputAll(observationData);
 
-            value = stateActionPair.getReward() + gamma * value;
+            value = stateActionReward.getReward() + gamma * value;
             if (recurrent) {
                 input.get(NDArrayIndex.point(0), NDArrayIndex.all(), NDArrayIndex.point(i)).assign(observationData);
             } else {
@@ -90,9 +91,9 @@ public class AdvantageActorCriticUpdateAlgorithm implements UpdateAlgorithm
         extends AsyncLearning {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteConv.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteConv.java
index 3f12a60ad..02c438e12 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteConv.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteConv.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- *  This program and the accompanying materials are made available under the
- *  terms of the Apache License, Version 2.0 which is available at
- *  https://www.apache.org/licenses/LICENSE-2.0.
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- *  WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- *  License for the specific language governing permissions and limitations
- *  under the License.
- *
- *  SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.nstep.discrete;
 
@@ -30,11 +33,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.deeplearning4j.rl4j.util.DataManagerTrainingListener;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/7/16.
- * Specialized constructors for the Conv (pixels input) case
- * Specialized conf + provide additional type safety
- */
 public class AsyncNStepQLearningDiscreteConv extends AsyncNStepQLearningDiscrete {
 
     final private HistoryProcessor.Configuration hpconf;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteDense.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteDense.java
index a94eba7a4..76d74972c 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteDense.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningDiscreteDense.java
@@ -1,20 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- *
- *  This program and the accompanying materials are made available under the
- *  terms of the Apache License, Version 2.0 which is available at
- *  https://www.apache.org/licenses/LICENSE-2.0.
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- *  WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- *  License for the specific language governing permissions and limitations
- *  under the License.
- *
- *  SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.nstep.discrete;
 
@@ -29,9 +31,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.deeplearning4j.rl4j.util.DataManagerTrainingListener;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/7/16.
- */
 public class AsyncNStepQLearningDiscreteDense extends AsyncNStepQLearningDiscrete {
 
     @Deprecated
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningThreadDiscrete.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningThreadDiscrete.java
index 24b2f350a..c22d557fa 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningThreadDiscrete.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/AsyncNStepQLearningThreadDiscrete.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- *  This program and the accompanying materials are made available under the
- *  terms of the Apache License, Version 2.0 which is available at
- *  https://www.apache.org/licenses/LICENSE-2.0.
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- *  WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- *  License for the specific language governing permissions and limitations
- *  under the License.
- *
- *  SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.nstep.discrete;
 
@@ -33,9 +36,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- */
 public class AsyncNStepQLearningThreadDiscrete extends AsyncThreadDiscrete {
 
     @Getter
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithm.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithm.java
index fd98877ad..b8e208d80 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithm.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithm.java
@@ -1,22 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.learning.async.nstep.discrete;
 
 import org.deeplearning4j.nn.gradient.Gradient;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.helper.INDArrayHelper;
 import org.deeplearning4j.rl4j.learning.async.UpdateAlgorithm;
 import org.deeplearning4j.rl4j.network.dqn.IDQN;
@@ -38,17 +42,17 @@ public class QLearningUpdateAlgorithm implements UpdateAlgorithm {
     }
 
     @Override
-    public Gradient[] computeGradients(IDQN current, List> experience) {
+    public Gradient[] computeGradients(IDQN current, List> experience) {
         int size = experience.size();
 
-        StateActionPair stateActionPair = experience.get(size - 1);
+        StateActionReward stateActionReward = experience.get(size - 1);
 
-        INDArray data = stateActionPair.getObservation().getData();
+        INDArray data = stateActionReward.getObservation().getChannelData(0);
         INDArray features = INDArrayHelper.createBatchForShape(size, data.shape());
         INDArray targets = Nd4j.create(size, actionSpaceSize);
 
         double r;
-        if (stateActionPair.isTerminal()) {
+        if (stateActionReward.isTerminal()) {
             r = 0;
         } else {
             INDArray[] output = null;
@@ -57,15 +61,15 @@ public class QLearningUpdateAlgorithm implements UpdateAlgorithm {
         }
 
         for (int i = size - 1; i >= 0; i--) {
-            stateActionPair = experience.get(i);
-            data = stateActionPair.getObservation().getData();
+            stateActionReward = experience.get(i);
+            data = stateActionReward.getObservation().getChannelData(0);
 
             features.putRow(i, data);
 
-            r = stateActionPair.getReward() + gamma * r;
+            r = stateActionReward.getReward() + gamma * r;
             INDArray[] output = current.outputAll(data);
             INDArray row = output[0];
-            row = row.putScalar(stateActionPair.getAction(), r);
+            row = row.putScalar(stateActionReward.getAction(), r);
             targets.putRow(i, row);
         }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/A3CLearningConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/A3CLearningConfiguration.java
index 226fe4419..62b106465 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/A3CLearningConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/A3CLearningConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/AsyncQLearningConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/AsyncQLearningConfiguration.java
index a60903e59..718ac253d 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/AsyncQLearningConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/AsyncQLearningConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/IAsyncLearningConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/IAsyncLearningConfiguration.java
index 1639597ae..59f6ebf51 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/IAsyncLearningConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/IAsyncLearningConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/ILearningConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/ILearningConfiguration.java
index 7ae215087..903bd3121 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/ILearningConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/ILearningConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/LearningConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/LearningConfiguration.java
index d1567e619..c7c36a0c3 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/LearningConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/LearningConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/QLearningConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/QLearningConfiguration.java
index 26ac57f0c..0f65f0c7f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/QLearningConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/configuration/QLearningConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListener.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListener.java
index 7eab385e1..81a153e1c 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListener.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListener.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.learning.listener;
 
 import org.deeplearning4j.rl4j.learning.IEpochTrainer;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerList.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerList.java
index a1c6451d0..2c33be3ee 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerList.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerList.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.listener;
 
@@ -23,11 +27,6 @@ import org.deeplearning4j.rl4j.util.IDataManager;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * The base logic to notify training listeners with the different training events.
- *
- * @author Alexandre Boulanger
- */
 public class TrainingListenerList {
     protected final List listeners = new ArrayList<>();
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/ExpReplay.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/ExpReplay.java
index 7bfcad53d..42278e943 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/ExpReplay.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/ExpReplay.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync;
 
@@ -20,18 +24,11 @@ import it.unimi.dsi.fastutil.ints.IntOpenHashSet;
 import it.unimi.dsi.fastutil.ints.IntSet;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.queue.CircularFifoQueue;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.nd4j.linalg.api.rng.Random;
 
 import java.util.ArrayList;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/12/16.
- *
- * "Standard" Exp Replay implementation that uses a CircularFifoQueue
- *
- * The memory is optimised by using array of INDArray in the transitions
- * such that two same INDArrays are not allocated twice
- */
 @Slf4j
 public class ExpReplay implements IExpReplay {
 
@@ -39,7 +36,7 @@ public class ExpReplay implements IExpReplay {
     final private Random rnd;
 
     //Implementing this as a circular buffer queue
-    private CircularFifoQueue> storage;
+    private CircularFifoQueue> storage;
 
     public ExpReplay(int maxSize, int batchSize, Random rnd) {
         this.batchSize = batchSize;
@@ -47,8 +44,8 @@ public class ExpReplay implements IExpReplay {
         storage = new CircularFifoQueue<>(maxSize);
     }
 
-    public ArrayList> getBatch(int size) {
-        ArrayList> batch = new ArrayList<>(size);
+    public ArrayList> getBatch(int size) {
+        ArrayList> batch = new ArrayList<>(size);
         int storageSize = storage.size();
         int actualBatchSize = Math.min(storageSize, size);
 
@@ -64,19 +61,19 @@ public class ExpReplay implements IExpReplay {
         }
 
         for (int i = 0; i < actualBatchSize; i ++) {
-            Transition trans = storage.get(actualIndex[i]);
+            StateActionRewardState trans = storage.get(actualIndex[i]);
             batch.add(trans.dup());
         }
 
         return batch;
     }
 
-    public ArrayList> getBatch() {
+    public ArrayList> getBatch() {
         return getBatch(batchSize);
     }
 
-    public void store(Transition transition) {
-        storage.add(transition);
+    public void store(StateActionRewardState stateActionRewardState) {
+        storage.add(stateActionRewardState);
         //log.info("size: "+storage.size());
     }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/IExpReplay.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/IExpReplay.java
index 8b2133806..b2a48811e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/IExpReplay.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/IExpReplay.java
@@ -1,35 +1,29 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync;
 
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
+
 import java.util.ArrayList;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/6/16.
- *
- * Common Interface for Experience replays
- *
- * A prioritized Exp Replay could be implemented by changing the interface
- * and integrating the TD-error in the transition for ranking
- * Not a high priority feature right now
- *
- * The memory is optimised by using array of INDArray in the transitions
- * such that two same INDArrays are not allocated twice
- */
 public interface IExpReplay {
 
     /**
@@ -40,13 +34,13 @@ public interface IExpReplay {
     /**
      * @return a batch of uniformly sampled transitions
      */
-    ArrayList> getBatch();
+    ArrayList> getBatch();
 
     /**
      *
-     * @param transition a new transition to store
+     * @param stateActionRewardState a new transition to store
      */
-    void store(Transition transition);
+    void store(StateActionRewardState stateActionRewardState);
 
     /**
      * @return The desired size of batches
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/SyncLearning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/SyncLearning.java
index e50e50114..bb12a31ca 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/SyncLearning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/SyncLearning.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync;
 
@@ -28,13 +31,6 @@ import org.deeplearning4j.rl4j.space.ActionSpace;
 import org.deeplearning4j.rl4j.space.Encodable;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * Mother class and useful factorisations for all training methods that
- * are not asynchronous.
- *
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/3/16.
- * @author Alexandre Boulanger
- */
 @Slf4j
 public abstract class SyncLearning, NN extends NeuralNet>
         extends Learning implements IEpochTrainer {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/Transition.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/Transition.java
deleted file mode 100644
index bcf0511db..000000000
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/Transition.java
+++ /dev/null
@@ -1,164 +0,0 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
-
-package org.deeplearning4j.rl4j.learning.sync;
-
-import lombok.Data;
-import org.deeplearning4j.rl4j.observation.Observation;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.linalg.indexing.INDArrayIndex;
-import org.nd4j.linalg.indexing.NDArrayIndex;
-
-import java.util.List;
-
-/**
- *
- * A transition is a SARS tuple
- * State, Action, Reward, (isTerminal), State
- *
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/12/16.
- * @author Alexandre Boulanger
- *
- */
-@Data
-public class Transition {
-
-    Observation observation;
-    A action;
-    double reward;
-    boolean isTerminal;
-    INDArray nextObservation;
-
-    public Transition(Observation observation, A action, double reward, boolean isTerminal) {
-        this.observation = observation;
-        this.action = action;
-        this.reward = reward;
-        this.isTerminal = isTerminal;
-        this.nextObservation = null;
-    }
-
-    public void setNextObservation(Observation nextObservation) {
-        // To conserve memory, only the most recent frame of the next observation is kept (if history is used).
-        // The full nextObservation will be re-build from observation when needed.
-        long[] nextObservationShape = nextObservation.getData().shape().clone();
-        nextObservationShape[0] = 1;
-        this.nextObservation = nextObservation.getData()
-                .get(new INDArrayIndex[] {NDArrayIndex.point(0)})
-                .reshape(nextObservationShape);
-    }
-
-    private Transition(Observation observation, A action, double reward, boolean isTerminal, INDArray nextObservation) {
-        this.observation = observation;
-        this.action = action;
-        this.reward = reward;
-        this.isTerminal = isTerminal;
-        this.nextObservation = nextObservation;
-    }
-
-    /**
-     * concat an array history into a single INDArry of as many channel
-     * as element in the history array
-     * @param history the history to concat
-     * @return the multi-channel INDArray
-     */
-    public static INDArray concat(INDArray[] history) {
-        INDArray arr = Nd4j.concat(0, history);
-        return arr;
-    }
-
-    /**
-     * Duplicate this transition
-     * @return this transition duplicated
-     */
-    public Transition dup() {
-        Observation dupObservation = observation.dup();
-        INDArray nextObs = nextObservation.dup();
-
-        return new Transition(dupObservation, action, reward, isTerminal, nextObs);
-    }
-
-    /**
-     * Stack along the 0-dimension all the observations of the batch in a INDArray.
-     *
-     * @param transitions A list of the transitions of the batch
-     * @param  The type of the Action
-     * @return A INDArray of all of the batch's observations stacked along the 0-dimension.
-     */
-    public static  INDArray buildStackedObservations(List> transitions) {
-        int size = transitions.size();
-        long[] shape = getShape(transitions);
-
-        INDArray[] array = new INDArray[size];
-        for (int i = 0; i < size; i++) {
-            array[i] = transitions.get(i).getObservation().getData();
-        }
-
-        return  Nd4j.concat(0, array).reshape(shape);
-    }
-
-    /**
-     * Stack along the 0-dimension all the next observations of the batch in a INDArray.
-     *
-     * @param transitions A list of the transitions of the batch
-     * @param  The type of the Action
-     * @return A INDArray of all of the batch's next observations stacked along the 0-dimension.
-     */
-    public static  INDArray buildStackedNextObservations(List> transitions) {
-        int size = transitions.size();
-        long[] shape = getShape(transitions);
-
-        INDArray[] array = new INDArray[size];
-
-        for (int i = 0; i < size; i++) {
-            Transition trans = transitions.get(i);
-            INDArray obs = trans.getObservation().getData();
-            long historyLength = obs.shape()[0];
-
-            if(historyLength != 1) {
-                // To conserve memory, only the most recent frame of the next observation is kept (if history is used).
-                // We need to rebuild the frame-stack in addition to builing the batch-stack.
-                INDArray historyPart = obs.get(new INDArrayIndex[]{NDArrayIndex.interval(0, historyLength - 1)});
-                array[i] = Nd4j.concat(0, trans.getNextObservation(), historyPart);
-            }
-            else {
-                array[i] = trans.getNextObservation();
-            }
-        }
-
-        return  Nd4j.concat(0, array).reshape(shape);
-    }
-
-    private static  long[] getShape(List> transitions) {
-        INDArray observations = transitions.get(0).getObservation().getData();
-        long[] observationShape = observations.shape();
-        long[] stackedShape;
-        if(observationShape[0] == 1) {
-            // FIXME: Currently RL4J doesn't support 1D observations. So if we have a shape with 1 in the first dimension, we can use that dimension and don't need to add another one.
-            stackedShape = new long[observationShape.length];
-            System.arraycopy(observationShape, 0, stackedShape, 0, observationShape.length);
-        }
-        else {
-            stackedShape = new long[observationShape.length + 1];
-            System.arraycopy(observationShape, 1, stackedShape, 2, observationShape.length - 1);
-            stackedShape[1] = observationShape[1];
-        }
-        stackedShape[0] = transitions.size();
-
-        return stackedShape;
-    }
-
-}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearning.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearning.java
index d9c955e17..6d7d0b352 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearning.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearning.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync.qlearning;
 
@@ -42,12 +45,6 @@ import org.deeplearning4j.rl4j.util.LegacyMDPWrapper;
 import java.util.ArrayList;
 import java.util.List;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/19/16.
- * 
        
- * Mother class for QLearning in the Discrete domain and
- * hopefully one day for the  Continuous domain.
- */
 @Slf4j
 public abstract class QLearning>
                 extends SyncLearning
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscrete.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscrete.java
index c0db79294..5e55da08b 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscrete.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscrete.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync.qlearning.discrete;
 
@@ -36,7 +39,7 @@ import org.deeplearning4j.rl4j.experience.ReplayMemoryExperienceHandler;
 import org.deeplearning4j.rl4j.learning.IHistoryProcessor;
 import org.deeplearning4j.rl4j.learning.Learning;
 import org.deeplearning4j.rl4j.learning.configuration.QLearningConfiguration;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.learning.sync.qlearning.QLearning;
 import org.deeplearning4j.rl4j.mdp.MDP;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
@@ -53,13 +56,6 @@ import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.factory.Nd4j;
 
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/18/16.
- * 
        
- * DQN or Deep Q-Learning in the Discrete domain
- * 
        
- * http://arxiv.org/abs/1312.5602
- */
 public abstract class QLearningDiscrete extends QLearning {
 
     @Getter
@@ -108,7 +104,7 @@ public abstract class QLearningDiscrete extends QLearning> updateAlgorithm = conf.isDoubleDQN()
+        IUpdateAlgorithm> updateAlgorithm = conf.isDoubleDQN()
             ? new DoubleDQN(qNetwork, target, aglorithmConfiguration)
             : new StandardDQN(qNetwork, target, aglorithmConfiguration);
 
@@ -116,14 +112,14 @@ public abstract class QLearningDiscrete extends QLearning updater = new SyncLabelsNeuralNetUpdater(qNetwork, target, neuralNetUpdaterConfiguration);
-        IUpdateRule> updateRule = new UpdateRule>(updateAlgorithm, updater);
+        IUpdateRule> updateRule = new UpdateRule>(updateAlgorithm, updater);
 
         ReplayMemoryExperienceHandler.Configuration experienceHandlerConfiguration = ReplayMemoryExperienceHandler.Configuration.builder()
             .maxReplayMemorySize(conf.getExpRepMaxSize())
             .batchSize(conf.getBatchSize())
             .build();
-        ExperienceHandler> experienceHandler = new ReplayMemoryExperienceHandler(experienceHandlerConfiguration, random);
-        return LearningBehavior.>builder()
+        ExperienceHandler> experienceHandler = new ReplayMemoryExperienceHandler(experienceHandlerConfiguration, random);
+        return LearningBehavior.>builder()
                 .experienceHandler(experienceHandler)
                 .updateRule(updateRule)
                 .build();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteConv.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteConv.java
index 450d0e27e..37fdc0970 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteConv.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteConv.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync.qlearning.discrete;
 
@@ -29,11 +32,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.deeplearning4j.rl4j.util.DataManagerTrainingListener;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/6/16.
- * Specialized constructors for the Conv (pixels input) case
- * Specialized conf + provide additional type safety
- */
 public class QLearningDiscreteConv extends QLearningDiscrete {
 
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteDense.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteDense.java
index 789e71b42..5fef5024f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteDense.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteDense.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync.qlearning.discrete;
 
@@ -29,9 +32,6 @@ import org.deeplearning4j.rl4j.space.DiscreteSpace;
 import org.deeplearning4j.rl4j.util.DataManagerTrainingListener;
 import org.deeplearning4j.rl4j.util.IDataManager;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/6/16.
- */
 public class QLearningDiscreteDense extends QLearningDiscrete {
 
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleEnvironment.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleEnvironment.java
index c26364e44..8f10c53d7 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleEnvironment.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleEnvironment.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.mdp;
 
 import lombok.Getter;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleNative.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleNative.java
index 66b938ba3..8f50c98ac 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleNative.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/CartpoleNative.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.mdp;
 
 import lombok.Getter;
@@ -10,32 +30,6 @@ import org.deeplearning4j.rl4j.space.ObservationSpace;
 
 import java.util.Random;
 
-/*
-    With the setup below, it should hit max score (200) after 4000-5000 iterations
-
-    public static QLearning.QLConfiguration CARTPOLE_QL =
-            new QLearning.QLConfiguration(
-                    123,    //Random seed
-                    200,    //Max step By epoch
-                    10000, //Max step
-                    10000, //Max size of experience replay
-                    64,     //size of batches
-                    50,    //target update (hard)
-                    0,     //num step noop warmup
-                    1.0,   //reward scaling
-                    0.99,   //gamma
-                    Double.MAX_VALUE,    //td-error clipping
-                    0.1f,   //min epsilon
-                    3000,   //num step for eps greedy anneal
-                    true    //double DQN
-            );
-
-    public static DQNFactoryStdDense.Configuration CARTPOLE_NET =
-            DQNFactoryStdDense.Configuration.builder()
-                    .l2(0.001).updater(new Adam(0.0005)).numHiddenNodes(16).numLayer(3).build();
-
- */
-
 public class CartpoleNative implements MDP {
     public enum KinematicsIntegrators { Euler, SemiImplicitEuler }
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/DoAsISayOrDont.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/DoAsISayOrDont.java
index f74a82005..845e6b8f0 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/DoAsISayOrDont.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/DoAsISayOrDont.java
@@ -1,3 +1,22 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.mdp;
 
 import lombok.Getter;
@@ -11,20 +30,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * With this environment, the agent is supposed to act exactly as told by the environment -- or the opposite, depending
- * on a randomly switching "do as told / do the opposite" marker in the observation.
        
- * Just like {@link TMazeEnvironment}, this environment is designed to be solvable by recurrent networks but unsolvable by non-recurrent ones.
- * But unlike TMaze, which has very sparse rewards, this environment has a reward at every step.
        
- * 
        
- * Format of observations:
- * 
        
- */
 public class DoAsISayOrDont implements Environment {
     private static final int NUM_ACTIONS = 2;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/TMazeEnvironment.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/TMazeEnvironment.java
index 93a69fcfe..35282fee8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/TMazeEnvironment.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/TMazeEnvironment.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.mdp;
 
 import lombok.Getter;
@@ -10,38 +30,6 @@ import org.nd4j.linalg.api.rng.Random;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * This environment is a non-Markovian grid-based T-maze like this: 
        - *                                       +---+
- *                                       | X |
- * +---+---+---+---+     +---+---+---+---+---+
- * | S |   |   |   | ... |   |   |   |   | B |
- * +---+---+---+---+     +---+---+---+---+---+
- *                                       | Y |
- *                                       +---+
- * 
        
- * The agent start at cell 'S' and must navigate to the goal. The location of this goal is selected randomly between
- * cell X and cell Y at the start of each episode.
        
- * This environment is designed to be straightforward except for one aspect: Only the initial observation contains
- * information on the location of the goal. This means that the agent must remember the location of the goal while
- * navigating the t-maze.
        
- * This makes the environment unsolvable with networks having only dense layers, but solvable with RNNs.
- * 
        
- * A reward of 4.0 is returned when reaching the goal, and -4.0 when reaching the trap. Reaching the goal or the trap
- * ends the episode.
        
- * Also, to make the agent learn to navigate to the branch faster, a reward of -0.1 is returned each time the agent bumps
- * into a wall or navigates left (away from the branch). And a one-time (per episode) reward of 1.0 is returned when the
- * agent reaches the branch.
        
- * 
        
- * Format of observations:
- * 
          
- * 
        • Element 1: 1.0 if it's the first observation; otherwise 0.0
          • 
- * 
        • Element 2: 1.0 if it's not the first observation and the agent is not at the branch; otherwise 0.0
          • 
- * 
        • Element 3: 1.0 if the agent is at the branch; otherwise 0.0
          • 
- * 
        • Element 4: 1.0 if the goal is at cell 'X', 0.0 if not, and -1.0 if the location of the goal is not observable
          • 
- * 
        • Element 5: 1.0 if the goal is at cell 'Y', 0.0 if not, and -1.0 if the location of the goal is not observable
          • 
- * 
        
- */
 public class TMazeEnvironment implements Environment {
     private static final double BAD_MOVE_REWARD = -0.1;
     private static final double GOAL_REWARD = 4.0;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLake.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLake.java
new file mode 100644
index 000000000..1d95ca368
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLake.java
@@ -0,0 +1,176 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.mdp.robotlake;
+
+import lombok.Getter;
+import org.deeplearning4j.rl4j.environment.Environment;
+import org.deeplearning4j.rl4j.environment.IntegerActionSchema;
+import org.deeplearning4j.rl4j.environment.Schema;
+import org.deeplearning4j.rl4j.environment.StepResult;
+import org.deeplearning4j.rl4j.space.ArrayObservationSpace;
+import org.deeplearning4j.rl4j.space.DiscreteSpace;
+import org.deeplearning4j.rl4j.space.ObservationSpace;
+import org.nd4j.linalg.api.rng.Random;
+import org.nd4j.linalg.factory.Nd4j;
+
+import java.util.HashMap;
+import java.util.Map;
+
+public class RobotLake implements Environment  {
+    private static final double GOAL_REWARD = 10.0;
+    private static final double STEPPED_ON_HOLE_REWARD = -2.0;
+    private static final double MOVE_AWAY_FROM_GOAL_REWARD = -0.1;
+
+    public static final int NUM_ACTIONS = 4;
+    public static final int ACTION_LEFT = 0;
+    public static final int ACTION_RIGHT = 1;
+    public static final int ACTION_UP = 2;
+    public static final int ACTION_DOWN = 3;
+
+    public static final char PLAYER = 'P';
+    public static final char GOAL = 'G';
+    public static final char HOLE = '@';
+    public static final char ICE = ' ';
+
+    @Getter
+    private Schema schema;
+
+    @Getter
+    private boolean episodeFinished = false;
+
+    @Getter
+    private boolean goalReached = false;
+
+    @Getter
+    private DiscreteSpace actionSpace = new DiscreteSpace(NUM_ACTIONS);
+
+    @Getter
+    private ObservationSpace observationSpace = new ArrayObservationSpace(new int[] {  });
+
+    private RobotLakeState state;
+    private final int size;
+
+    public RobotLake(int size) {
+        this(size, false, Nd4j.getRandom());
+    }
+
+    public RobotLake(int size, boolean areStartingPositionsRandom, Random rnd) {
+        state = new RobotLakeState(size, areStartingPositionsRandom, rnd);
+        this.size = size;
+        this.schema = new Schema(new IntegerActionSchema(NUM_ACTIONS, ACTION_LEFT, rnd));
+    }
+
+    @Override
+    public Map reset() {
+        state.reset();
+        episodeFinished = false;
+        goalReached = false;
+
+        return getChannelsData();
+    }
+
+    public StepResult step(Integer action) {
+        double reward = 0.0;
+
+        switch (action) {
+            case ACTION_LEFT:
+                state.moveRobotLeft();
+                break;
+
+            case ACTION_RIGHT:
+                state.moveRobotRight();
+                break;
+
+            case ACTION_UP:
+                state.moveRobotUp();
+                break;
+
+            case ACTION_DOWN:
+                state.moveRobotDown();
+                break;
+        }
+
+        if(RobotLakeHelper.isGoalAtLocation(state.getLake(), state.getRobotY(), state.getRobotX())) {
+            episodeFinished = true;
+            goalReached = true;
+            reward = GOAL_REWARD;
+        } else if(!RobotLakeHelper.isLocationSafe(state.getLake(), state.getRobotY(), state.getRobotX())) {
+            episodeFinished = true;
+            reward = STEPPED_ON_HOLE_REWARD;
+        } else {
+            // Give a small negative reward for moving away from the goal (to speedup learning)
+            switch (action) {
+                case ACTION_LEFT:
+                    reward = state.getGoalX() > 0 ? MOVE_AWAY_FROM_GOAL_REWARD : 0.0;
+                    break;
+
+                case ACTION_RIGHT:
+                    reward = state.getGoalX() == 0 ? MOVE_AWAY_FROM_GOAL_REWARD : 0.0;
+                    break;
+
+                case ACTION_UP:
+                    reward = state.getGoalY() > 0 ? MOVE_AWAY_FROM_GOAL_REWARD : 0.0;
+                    break;
+
+                case ACTION_DOWN:
+                    reward = state.getGoalY() == 0 ? MOVE_AWAY_FROM_GOAL_REWARD : 0.0;
+                    break;
+            }
+        }
+
+        return new StepResult(getChannelsData(), reward, episodeFinished);
+    }
+
+
+    @Override
+    public void close() {
+        // Do nothing
+    }
+
+    private double[] getTrackerChannelData() {
+        return new double[] {
+                state.getGoalY() - state.getRobotY(),
+                state.getGoalX() - state.getRobotX()
+        };
+    }
+
+    private double[] getRadarChannelData() {
+        return new double[] {
+                // UP Direction
+                state.getRobotY() == 0  || RobotLakeHelper.isLocationSafe(state.getLake(), state.getRobotY() - 1, state.getRobotX()) ? 1.0 : 0.0,
+
+                // RIGHT Direction
+                state.getRobotX() == (size - 1) || RobotLakeHelper.isLocationSafe(state.getLake(), state.getRobotY(), state.getRobotX() + 1) ? 1.0 : 0.0,
+
+                // DOWN Direction
+                state.getRobotY() == (size - 1) || RobotLakeHelper.isLocationSafe(state.getLake(), state.getRobotY() + 1, state.getRobotX()) ? 1.0 : 0.0,
+
+                // LEFT Direction
+                state.getRobotX() == 0 || RobotLakeHelper.isLocationSafe(state.getLake(), state.getRobotY(), state.getRobotX() - 1) ? 1.0 : 0.0,
+        };
+    }
+
+    private Map getChannelsData() {
+        return new HashMap() {{
+            put("tracker", getTrackerChannelData());
+            put("radar", getRadarChannelData());
+        }};
+    }
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeHelper.java
new file mode 100644
index 000000000..e2cde2fe3
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeHelper.java
@@ -0,0 +1,91 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.mdp.robotlake;
+
+public class RobotLakeHelper {
+    private static final byte SAFE_PATH_TO_LOCATION_EXISTS = (byte)1;
+    private static final byte DANGEROUS_LOCATION = (byte)-1;
+    private static final byte UNVISITED_LOCATION = (byte)0;
+
+    public static boolean isGoalAtLocation(RobotLakeMap lake, int y, int x) {
+        return lake.getLocation(y, x) == RobotLake.GOAL;
+    }
+
+    public static boolean pathExistsToGoal(RobotLakeMap lake, int startY, int startX) {
+        byte[][] path = new byte[lake.size][lake.size];
+
+        for (int y = 0; y < lake.size; ++y) {
+            for (int x = 0; x < lake.size; ++x) {
+                if(!isLocationSafe(lake, y, x)) {
+                    path[y][x] = DANGEROUS_LOCATION;
+                }
+            }
+        }
+
+        path[startY][startX] = 1;
+        int previousNumberOfLocations = 0;
+        while (true) {
+            int numberOfLocations = 0;
+
+            for (int y = 0; y < lake.size; ++y) {
+                for (int x = 0; x < lake.size; ++x) {
+                    if (path[y][x] == SAFE_PATH_TO_LOCATION_EXISTS) {
+                        ++numberOfLocations;
+                        boolean hasFoundValidPath = updatePathSafetyAtLocation(lake, path, y - 1, x)
+                                || updatePathSafetyAtLocation(lake, path, y, x - 1)
+                                || updatePathSafetyAtLocation(lake, path, y + 1, x)
+                                || updatePathSafetyAtLocation(lake, path, y, x + 1);
+
+                        if(hasFoundValidPath) {
+                            return true;
+                        }
+                    }
+                }
+            }
+
+            if (previousNumberOfLocations == numberOfLocations) {
+                return false;
+            }
+            previousNumberOfLocations = numberOfLocations;
+        }
+    }
+
+    // returns true if goal has been reached
+    private static boolean updatePathSafetyAtLocation(RobotLakeMap lake, byte[][] path, int y, int x) {
+        if (y < 0 || y >= path.length || x < 0 || x >= path.length || path[y][x] != UNVISITED_LOCATION) {
+            return false;
+        }
+
+        if(isGoalAtLocation(lake, y, x)) {
+            return true;
+        }
+
+        path[y][x] = isLocationSafe(lake, y, x) ? SAFE_PATH_TO_LOCATION_EXISTS : DANGEROUS_LOCATION;
+
+        return false;
+    }
+
+    public static boolean isLocationSafe(RobotLakeMap lake, int y, int x) {
+        char contentOfLocation = lake.getLocation(y, x);
+        return contentOfLocation == RobotLake.ICE
+                || contentOfLocation == RobotLake.GOAL;
+    }
+
+}
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeMap.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeMap.java
new file mode 100644
index 000000000..124ac5ff8
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeMap.java
@@ -0,0 +1,54 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.mdp.robotlake;
+
+import org.nd4j.linalg.api.rng.Random;
+
+public class RobotLakeMap {
+    private static final double SAFE_ICE_PROBABILITY = 0.8;
+
+    private final Random rnd;
+
+    private final char[][] lake;
+    public final int size;
+
+    public RobotLakeMap(int size, Random rnd) {
+        this.size = size;
+        this.rnd = rnd;
+        lake = new char[size][size];
+    }
+
+    public void generateLake(int playerY, int playerX, int goalY, int goalX) {
+        for(int y = 0; y < size; ++y) {
+            for(int x = 0; x < size; ++x) {
+                lake[y][x] = rnd.nextDouble() <= SAFE_ICE_PROBABILITY
+                        ? RobotLake.ICE
+                        : RobotLake.HOLE;
+            }
+        }
+
+        lake[goalY][goalX] = RobotLake.GOAL;
+        lake[playerY][playerX] = RobotLake.ICE;
+    }
+
+    public char getLocation(int y, int x) {
+        return lake[y][x];
+    }
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeState.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeState.java
new file mode 100644
index 000000000..39c27afdd
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/robotlake/RobotLakeState.java
@@ -0,0 +1,109 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.mdp.robotlake;
+
+import lombok.Getter;
+import org.nd4j.linalg.api.rng.Random;
+
+public class RobotLakeState {
+    private final int size;
+    private final boolean areStartingPositionsRandom;
+    private final Random rnd;
+
+    @Getter
+    private final RobotLakeMap lake;
+
+    @Getter
+    private int robotY, robotX;
+
+    @Getter
+    private int goalY, goalX;
+
+    public RobotLakeState(int size, boolean areStartingPositionsRandom, Random rnd) {
+        this.size = size;
+        this.areStartingPositionsRandom = areStartingPositionsRandom;
+        this.rnd = rnd;
+        lake = new RobotLakeMap(size, rnd);
+    }
+
+    public void reset() {
+        setRobotAndGoalLocations();
+        generateValidPond();
+    }
+
+    private void generateValidPond() {
+        int attempts = 0;
+        while (attempts++ < 1000) {
+            lake.generateLake(robotY, robotX, goalY, goalX);
+            if(RobotLakeHelper.pathExistsToGoal(lake, robotY, robotX)) {
+                return;
+            }
+        }
+
+        throw new RuntimeException("Failed to generate a valid pond after 1000 attempts");
+    }
+
+    public void moveRobotLeft() {
+        if(robotX > 0) {
+            --robotX;
+        }
+    }
+
+    public void moveRobotRight() {
+        if(robotX < size - 1) {
+            ++robotX;
+        }
+    }
+
+    public void moveRobotUp() {
+        if(robotY > 0) {
+            --robotY;
+        }
+    }
+
+    public void moveRobotDown() {
+        if(robotY < size - 1) {
+            ++robotY;
+        }
+    }
+
+    private void setRobotAndGoalLocations() {
+        if(areStartingPositionsRandom) {
+            if (rnd.nextBoolean()) {
+                // Robot on top side, goal on bottom side
+                robotX = rnd.nextInt(size);
+                robotY = 0;
+                goalX = rnd.nextInt(size);
+                goalY = size - 1;
+            } else {
+                // Robot on left side, goal on right side
+                robotX = 0;
+                robotY = rnd.nextInt(size);
+                goalX = size - 1;
+                goalY = rnd.nextInt(size);
+            }
+        } else {
+            robotX = 0;
+            robotY = 0;
+            goalX = size - 1;
+            goalY = size - 1;
+        }
+    }
+}
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardDeteministicToy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardDeteministicToy.java
index 149efc43d..73546379d 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardDeteministicToy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardDeteministicToy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.toy;
 
@@ -30,12 +34,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Random;
 import java.util.logging.Logger;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- *
- * A toy MDP where the agent should find the maximum to get the reward.
- * Useful to debug as it's very fast to run
- */
 public class HardDeteministicToy implements MDP {
 
     final private static int MAX_STEP = 20;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardToyState.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardToyState.java
index a357eaeda..c7978ad42 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardToyState.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/HardToyState.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.toy;
 
@@ -20,9 +24,6 @@ import lombok.Value;
 import org.deeplearning4j.rl4j.space.Encodable;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- */
 @Value
 public class HardToyState implements Encodable {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToy.java
index 091c51b8d..1aa95fdf2 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.toy;
 
@@ -31,12 +35,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/18/16.
- *
- * A toy MDP where reward are given in every case.
- * Useful to debug
- */
 @Slf4j
 public class SimpleToy implements MDP {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToyState.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToyState.java
index 6e41ea414..d778f6fe7 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToyState.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/mdp/toy/SimpleToyState.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.toy;
 
@@ -20,9 +24,6 @@ import lombok.Value;
 import org.deeplearning4j.rl4j.space.Encodable;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/18/16.
- */
 @Value
 public class SimpleToyState implements Encodable {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ActorCriticNetwork.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ActorCriticNetwork.java
index 70ebbc1f6..182c30268 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ActorCriticNetwork.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ActorCriticNetwork.java
@@ -1,83 +1,38 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
+import lombok.NonNull;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * An Actor-Critic network implementation 
        
- * Label names: "value" and "policy" 
        
- * 
        
- * Gradient names:
- * 
          
- *     
        • A single network for the value and policy: "combined"
          • 
- *     
        • A separate network for the value and policy: "value" and "policy"
          • 
- * 
        
- */
 public class ActorCriticNetwork extends BaseNetwork {
 
     private static final String[] LABEL_NAMES = new String[] {
             CommonLabelNames.ActorCritic.Value,
             CommonLabelNames.ActorCritic.Policy
     };
-
     private final boolean isCombined;
 
-    public ActorCriticNetwork(ComputationGraph combinedNetwork) {
-        this(new ComputationGraphHandler(combinedNetwork, LABEL_NAMES, CommonGradientNames.ActorCritic.Combined), true);
-    }
-
-    public ActorCriticNetwork(ComputationGraph valueNetwork, ComputationGraph policyNetwork) {
-        this(createValueNetworkHandler(valueNetwork), createPolicyNetworkHandler(policyNetwork));
-    }
-
-    public ActorCriticNetwork(MultiLayerNetwork valueNetwork, ComputationGraph policyNetwork) {
-        this(createValueNetworkHandler(valueNetwork), createPolicyNetworkHandler(policyNetwork));
-    }
-
-    public ActorCriticNetwork(ComputationGraph valueNetwork, MultiLayerNetwork policyNetwork) {
-        this(createValueNetworkHandler(valueNetwork), createPolicyNetworkHandler(policyNetwork));
-    }
-
-    public ActorCriticNetwork(MultiLayerNetwork valueNetwork, MultiLayerNetwork policyNetwork) {
-        this(createValueNetworkHandler(valueNetwork), createPolicyNetworkHandler(policyNetwork));
-    }
-
-    private static INetworkHandler createValueNetworkHandler(ComputationGraph valueNetwork) {
-        return new ComputationGraphHandler(valueNetwork, new String[] { CommonLabelNames.ActorCritic.Value }, CommonGradientNames.ActorCritic.Value);
-    }
-
-    private static INetworkHandler createValueNetworkHandler(MultiLayerNetwork valueNetwork) {
-        return new MultiLayerNetworkHandler(valueNetwork, CommonLabelNames.ActorCritic.Value, CommonGradientNames.ActorCritic.Value);
-    }
-
-    private static INetworkHandler createPolicyNetworkHandler(ComputationGraph policyNetwork) {
-        return new ComputationGraphHandler(policyNetwork, new String[] { CommonLabelNames.ActorCritic.Policy }, CommonGradientNames.ActorCritic.Policy);
-    }
-
-    private static INetworkHandler createPolicyNetworkHandler(MultiLayerNetwork policyNetwork) {
-        return new MultiLayerNetworkHandler(policyNetwork, CommonLabelNames.ActorCritic.Policy, CommonGradientNames.ActorCritic.Policy);
-    }
-
-    private ActorCriticNetwork(INetworkHandler valueNetworkHandler, INetworkHandler policyNetworkHandler) {
-        this(new CompoundNetworkHandler(valueNetworkHandler, policyNetworkHandler), false);
-    }
-
     private ActorCriticNetwork(INetworkHandler handler, boolean isCombined) {
         super(handler);
         this.isCombined = isCombined;
@@ -96,4 +51,116 @@ public class ActorCriticNetwork extends BaseNetwork {
     public ActorCriticNetwork clone() {
         return new ActorCriticNetwork(getNetworkHandler().clone(), isCombined);
     }
+
+    public static Builder builder() {
+        return new Builder();
+    }
+
+    public static class Builder {
+        private final NetworkHelper networkHelper = new NetworkHelper();
+
+        private boolean isCombined;
+        private ComputationGraph combinedNetwork;
+
+        private ComputationGraph cgValueNetwork;
+        private MultiLayerNetwork mlnValueNetwork;
+
+        private ComputationGraph cgPolicyNetwork;
+        private MultiLayerNetwork mlnPolicyNetwork;
+        private String inputChannelName;
+        private String[] channelNames;
+        private ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] networkInputsToFeatureBindings;
+
+
+        public Builder withCombinedNetwork(@NonNull ComputationGraph combinedNetwork) {
+            isCombined = true;
+            this.combinedNetwork = combinedNetwork;
+
+            return this;
+        }
+
+        public Builder withSeparateNetworks(@NonNull ComputationGraph valueNetwork, @NonNull ComputationGraph policyNetwork) {
+            this.cgValueNetwork = valueNetwork;
+            this.cgPolicyNetwork = policyNetwork;
+            isCombined = false;
+            return this;
+        }
+
+        public Builder withSeparateNetworks(@NonNull MultiLayerNetwork valueNetwork, @NonNull ComputationGraph policyNetwork) {
+            this.mlnValueNetwork = valueNetwork;
+            this.cgPolicyNetwork = policyNetwork;
+            isCombined = false;
+
+            return this;
+        }
+
+        public Builder withSeparateNetworks(@NonNull ComputationGraph valueNetwork, @NonNull MultiLayerNetwork policyNetwork) {
+            this.cgValueNetwork = valueNetwork;
+            this.mlnPolicyNetwork = policyNetwork;
+            isCombined = false;
+
+            return this;
+        }
+
+        public Builder withSeparateNetworks(@NonNull MultiLayerNetwork valueNetwork, @NonNull MultiLayerNetwork policyNetwork) {
+            this.mlnValueNetwork = valueNetwork;
+            this.mlnPolicyNetwork = policyNetwork;
+            isCombined = false;
+
+            return this;
+        }
+
+        public Builder inputBindings(ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] networkInputsToFeatureBindings) {
+            this.networkInputsToFeatureBindings = networkInputsToFeatureBindings;
+            return this;
+        }
+
+        public Builder specificBinding(String inputChannelName) {
+            this.inputChannelName = inputChannelName;
+            return this;
+        }
+
+        public Builder channelNames(String[] channelNames) {
+            this.channelNames = channelNames;
+            return this;
+        }
+
+        public ActorCriticNetwork build() {
+            INetworkHandler networkHandler;
+
+            boolean isValueNetworkSet = !(cgValueNetwork == null && mlnValueNetwork == null);
+            boolean isPolicyNetworkSet = !(cgPolicyNetwork == null && mlnPolicyNetwork == null);
+            Preconditions.checkState(combinedNetwork != null || (isValueNetworkSet && isPolicyNetworkSet), "A network must be set.");
+
+            if(isCombined) {
+                networkHandler = (networkInputsToFeatureBindings == null)
+                        ? networkHelper.buildHandler(combinedNetwork, inputChannelName, channelNames, LABEL_NAMES, CommonGradientNames.ActorCritic.Combined)
+                        : networkHelper.buildHandler(combinedNetwork, networkInputsToFeatureBindings, channelNames, LABEL_NAMES, CommonGradientNames.ActorCritic.Combined);
+            } else {
+                INetworkHandler valueNetworkHandler;
+                if(cgValueNetwork != null) {
+                    valueNetworkHandler = (networkInputsToFeatureBindings == null)
+                            ? networkHelper.buildHandler(cgValueNetwork, inputChannelName, channelNames, new String[] { CommonLabelNames.ActorCritic.Value }, CommonGradientNames.ActorCritic.Value)
+                            : networkHelper.buildHandler(cgValueNetwork, networkInputsToFeatureBindings, channelNames, LABEL_NAMES, CommonGradientNames.ActorCritic.Value);
+                } else {
+                    valueNetworkHandler = networkHelper.buildHandler(mlnValueNetwork, inputChannelName, channelNames, CommonLabelNames.ActorCritic.Value, CommonGradientNames.ActorCritic.Value);
+                }
+
+                INetworkHandler policyNetworkHandler;
+                if(cgPolicyNetwork != null) {
+                    policyNetworkHandler = (networkInputsToFeatureBindings == null)
+                            ? networkHelper.buildHandler(cgPolicyNetwork, inputChannelName, channelNames, new String[] { CommonLabelNames.ActorCritic.Policy }, CommonGradientNames.ActorCritic.Policy)
+                            : networkHelper.buildHandler(cgPolicyNetwork, networkInputsToFeatureBindings, channelNames, LABEL_NAMES, CommonGradientNames.ActorCritic.Policy);
+                } else {
+                    policyNetworkHandler = networkHelper.buildHandler(mlnPolicyNetwork, inputChannelName, channelNames, CommonLabelNames.ActorCritic.Policy, CommonGradientNames.ActorCritic.Policy);
+                }
+
+                networkHandler = new CompoundNetworkHandler(valueNetworkHandler, policyNetworkHandler);
+            }
+
+            return new ActorCriticNetwork(networkHandler, isCombined);
+        }
+
+    }
+
 }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/BaseNetwork.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/BaseNetwork.java
index b6a680d7e..b69fde552 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/BaseNetwork.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/BaseNetwork.java
@@ -1,23 +1,29 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
 import lombok.AccessLevel;
 import lombok.Getter;
 import lombok.Value;
+import org.apache.commons.lang3.NotImplementedException;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -26,13 +32,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.HashMap;
 import java.util.Map;
 
-/**
- * This abstract class is a base implementation of {@link ITrainableNeuralNet} for typical networks.
- * This implementation caches the outputs of the network, until the network is changed (fit(), applyGradients(), and copyFrom()) or reset()
- * This is not only a performance optimization; When using recurrent networks, the same observation should always give
- * the same output (in the policy and the update algorithm). Storing that output is the easiest and fastest.
- * @param 
- */
 public abstract class BaseNetwork
         implements ITrainableNeuralNet {
 
@@ -100,7 +99,7 @@ public abstract class BaseNetwork
             if(isRecurrent()) {
                 result = packageResult(networkHandler.recurrentStepOutput(observation));
             } else {
-                result = output(observation.getData());
+                result = packageResult(networkHandler.stepOutput(observation));
             }
 
             neuralNetOutputCache.put(observation, result);
@@ -113,14 +112,26 @@ public abstract class BaseNetwork
 
     /**
      * Compute the output for a batch.
-     * Note: The current state is ignored if used witha recurrent network
+     * Note: The current state is ignored if used with a recurrent network
      * @param batch
      * @return a {@link NeuralNetOutput} instance
      */
     public NeuralNetOutput output(INDArray batch) {
-        return packageResult(networkHandler.batchOutput(batch));
+        // TODO: Remove when legacy code is gone
+        throw new NotImplementedException("output(INDArray): should use output(Observation) or output(Features)");
     }
 
+    /**
+     * Compute the output for a batch.
+     * Note: The current state is ignored if used with a recurrent network
+     * @param features
+     * @return a {@link NeuralNetOutput} instance
+     */
+    public NeuralNetOutput output(Features features) {
+        return packageResult(networkHandler.batchOutput(features));
+    }
+
+
     /**
      * Resets the cache and the state of the network
      */
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ChannelToNetworkInputMapper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ChannelToNetworkInputMapper.java
new file mode 100644
index 000000000..2f324269f
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ChannelToNetworkInputMapper.java
@@ -0,0 +1,128 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.network;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NonNull;
+import org.apache.commons.collections4.map.HashedMap;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.nd4j.common.base.Preconditions;
+import org.nd4j.linalg.api.ndarray.INDArray;
+
+import java.util.Map;
+
+public class ChannelToNetworkInputMapper {
+    private final IdxBinding[] networkInputsToChannelNameMap;
+    private final int inputCount;
+
+    /**
+     * @param networkInputsToChannelNameMap An array that describe how to map the network inputs with the channel names.
+     * @param networkInputNames An ordered array of the network inputs.
+     * @param channelNames An ordered array of the observation/features channel names
+     */
+    public ChannelToNetworkInputMapper(@NonNull NetworkInputToChannelBinding[] networkInputsToChannelNameMap,
+                                       String[] networkInputNames,
+                                       String[] channelNames) {
+        Preconditions.checkArgument(networkInputsToChannelNameMap.length > 0, "networkInputsToChannelNameMap is empty.");
+        Preconditions.checkArgument(networkInputNames.length > 0, "networkInputNames is empty.");
+        Preconditions.checkArgument(channelNames.length > 0, "channelNames is empty.");
+
+        // All network inputs must be mapped exactly once.
+        for (String inputName : networkInputNames) {
+            int numTimesMapped = 0;
+            for (NetworkInputToChannelBinding networkInputToChannelBinding : networkInputsToChannelNameMap) {
+                numTimesMapped += inputName == networkInputToChannelBinding.networkInputName ? 1 : 0;
+            }
+
+            if (numTimesMapped != 1) {
+                throw new IllegalArgumentException("All network inputs must be mapped exactly once. Input '" + inputName + "' is mapped " + numTimesMapped + " times.");
+            }
+        }
+
+        Map networkNameToIdx = new HashedMap();
+        for(int i = 0; i < networkInputNames.length; ++i) {
+            networkNameToIdx.put(networkInputNames[i], i);
+        }
+
+        Map channelNamesToIdx = new HashedMap();
+        for(int i = 0; i < channelNames.length; ++i) {
+            channelNamesToIdx.put(channelNames[i], i);
+        }
+
+        this.networkInputsToChannelNameMap = new IdxBinding[networkInputNames.length];
+        for(int i = 0; i < networkInputsToChannelNameMap.length; ++i) {
+            NetworkInputToChannelBinding nameMap = networkInputsToChannelNameMap[i];
+
+            Integer networkIdx = networkNameToIdx.get(nameMap.networkInputName);
+            if(networkIdx == null) {
+                throw new IllegalArgumentException("'" + nameMap.networkInputName + "' not found in networkInputNames");
+            }
+
+            Integer channelIdx = channelNamesToIdx.get(nameMap.channelName);
+            if(channelIdx == null) {
+                throw new IllegalArgumentException("'" + nameMap.channelName + "' not found in channelNames");
+            }
+
+            this.networkInputsToChannelNameMap[i]  = new IdxBinding(networkIdx, channelIdx);
+        }
+
+        inputCount = networkInputNames.length;
+    }
+
+    public INDArray[] getNetworkInputs(Observation observation) {
+        INDArray[] result = new INDArray[inputCount];
+        for(IdxBinding map : networkInputsToChannelNameMap) {
+            result[map.networkInputIdx] = observation.getChannelData(map.channelIdx);
+        }
+
+        return result;
+    }
+
+    public INDArray[] getNetworkInputs(Features features) {
+        INDArray[] result = new INDArray[inputCount];
+        for(IdxBinding map : networkInputsToChannelNameMap) {
+            result[map.networkInputIdx] = features.get(map.channelIdx);
+        }
+
+        return result;
+    }
+
+
+    @AllArgsConstructor
+    public static class NetworkInputToChannelBinding {
+        @Getter
+        private String networkInputName;
+        @Getter
+        private String channelName;
+
+        public static NetworkInputToChannelBinding map(String networkInputName, String channelName) {
+            return new NetworkInputToChannelBinding(networkInputName, channelName);
+        }
+    }
+
+    @AllArgsConstructor
+    private static class IdxBinding {
+        int networkInputIdx;
+        int channelIdx;
+    }
+
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonGradientNames.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonGradientNames.java
index 76fc82edd..1fbfd9539 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonGradientNames.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonGradientNames.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 public abstract class CommonGradientNames {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonLabelNames.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonLabelNames.java
index 536798ecf..a0aace375 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonLabelNames.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonLabelNames.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 public abstract class CommonLabelNames {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonOutputNames.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonOutputNames.java
index c76a9eebb..21d3a8758 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonOutputNames.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CommonOutputNames.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 public abstract class CommonOutputNames {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandler.java
index 8528cc90e..e86fb9420 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandler.java
@@ -1,21 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
 import lombok.Getter;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -25,13 +30,6 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-/**
- * A {@link INetworkHandler} implementation to be used when multiple separate network are to be used as one. For example,
- * we can have two separate networks, value and policy, and use a CompoundNetworkHandler to use them the
- * same way as if it was a single combined network.
- *
- * Note: each individual network should have only one output layer.
- */
 public class CompoundNetworkHandler implements INetworkHandler {
 
     private final INetworkHandler[] networkHandlers;
@@ -102,10 +100,20 @@ public class CompoundNetworkHandler implements INetworkHandler {
     }
 
     @Override
-    public INDArray[] batchOutput(INDArray batch) {
+    public INDArray[] stepOutput(Observation observation) {
         List outputs = new ArrayList();
         for(INetworkHandler handler : networkHandlers) {
-            Collections.addAll(outputs, handler.batchOutput(batch));
+            Collections.addAll(outputs, handler.stepOutput(observation));
+        }
+
+        return outputs.toArray(new INDArray[0]);
+    }
+
+    @Override
+    public INDArray[] batchOutput(Features features) {
+        List outputs = new ArrayList();
+        for(INetworkHandler handler : networkHandlers) {
+            Collections.addAll(outputs, handler.batchOutput(features));
         }
 
         return outputs.toArray(new INDArray[0]);
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ComputationGraphHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ComputationGraphHandler.java
index bb9c1b9e0..753f4aaa3 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ComputationGraphHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ComputationGraphHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
 import lombok.Getter;
@@ -22,14 +26,12 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A {@link INetworkHandler} implementation to be used with {@link ComputationGraph ComputationGraphs}
- */
 public class ComputationGraphHandler implements INetworkHandler {
 
     private final ComputationGraph model;
@@ -39,18 +41,48 @@ public class ComputationGraphHandler implements INetworkHandler {
     private final ComputationGraphConfiguration configuration;
     private final String[] labelNames;
     private final String gradientName;
+    private final int inputFeatureIdx;
+    private final ChannelToNetworkInputMapper channelToNetworkInputMapper;
 
     /**
      * @param model The {@link ComputationGraph} to use internally.
      * @param labelNames An array of the labels (in {@link FeaturesLabels}) to use as the network's input.
      * @param gradientName The name of the gradient (in {@link Gradients}) to use as the network's output.
+     * @param channelToNetworkInputMapper a {@link ChannelToNetworkInputMapper} instance that map the network inputs
+     *                                    to the feature channels
      */
-    public ComputationGraphHandler(ComputationGraph model, String[] labelNames, String gradientName) {
+    public ComputationGraphHandler(ComputationGraph model,
+                                   String[] labelNames,
+                                   String gradientName,
+                                   ChannelToNetworkInputMapper channelToNetworkInputMapper) {
         this.model = model;
         recurrent = model.getOutputLayer(0) instanceof RnnOutputLayer;
         configuration = model.getConfiguration();
         this.labelNames = labelNames;
         this.gradientName = gradientName;
+
+        this.inputFeatureIdx = 0;
+        this.channelToNetworkInputMapper = channelToNetworkInputMapper;
+    }
+
+    /**
+     * @param model The {@link ComputationGraph} to use internally.
+     * @param labelNames An array of the labels (in {@link FeaturesLabels}) to use as the network's input.
+     * @param gradientName The name of the gradient (in {@link Gradients}) to use as the network's output.
+     * @param inputFeatureIdx The channel index to use as the input of the model
+     */
+    public ComputationGraphHandler(ComputationGraph model,
+                                   String[] labelNames,
+                                   String gradientName,
+                                   int inputFeatureIdx) {
+        this.model = model;
+        recurrent = model.getOutputLayer(0) instanceof RnnOutputLayer;
+        configuration = model.getConfiguration();
+        this.labelNames = labelNames;
+        this.gradientName = gradientName;
+
+        this.inputFeatureIdx = inputFeatureIdx;
+        this.channelToNetworkInputMapper = null;
     }
 
     @Override
@@ -77,15 +109,13 @@ public class ComputationGraphHandler implements INetworkHandler {
 
     @Override
     public void performFit(FeaturesLabels featuresLabels) {
-        INDArray[] features = new INDArray[] { featuresLabels.getFeatures() };
-        INDArray[] labels = getLabelsFromFeaturesLabels(featuresLabels);
-        model.fit(features, labels);
+        model.fit(buildInputs(featuresLabels.getFeatures()), buildLabels(featuresLabels));
     }
 
     @Override
     public void performGradientsComputation(FeaturesLabels featuresLabels) {
-        model.setInput(0, featuresLabels.getFeatures());
-        model.setLabels(getLabelsFromFeaturesLabels(featuresLabels));
+        model.setInputs(buildInputs(featuresLabels.getFeatures()));
+        model.setLabels(buildLabels(featuresLabels));
         model.computeGradientAndScore();
     }
 
@@ -94,7 +124,7 @@ public class ComputationGraphHandler implements INetworkHandler {
         gradients.putGradient(gradientName, model.gradient());
     }
 
-    private INDArray[] getLabelsFromFeaturesLabels(FeaturesLabels featuresLabels) {
+    private INDArray[] buildLabels(FeaturesLabels featuresLabels) {
         int numLabels = labelNames.length;
         INDArray[] result = new INDArray[numLabels];
         for(int i = 0; i < numLabels; ++i) {
@@ -120,12 +150,17 @@ public class ComputationGraphHandler implements INetworkHandler {
 
     @Override
     public INDArray[] recurrentStepOutput(Observation observation) {
-        return model.rnnTimeStep(observation.getData());
+        return model.rnnTimeStep(buildInputs(observation));
     }
 
     @Override
-    public INDArray[] batchOutput(INDArray batch) {
-        return model.output(batch);
+    public INDArray[] stepOutput(Observation observation) {
+        return model.output(buildInputs(observation));
+    }
+
+    @Override
+    public INDArray[] batchOutput(Features features) {
+        return model.output(buildInputs(features));
     }
 
     @Override
@@ -135,11 +170,28 @@ public class ComputationGraphHandler implements INetworkHandler {
 
     @Override
     public INetworkHandler clone() {
-        return new ComputationGraphHandler(model.clone(), labelNames, gradientName);
+        if(channelToNetworkInputMapper != null) {
+            return new ComputationGraphHandler(model.clone(), labelNames, gradientName, channelToNetworkInputMapper);
+        }
+        return new ComputationGraphHandler(model.clone(), labelNames, gradientName, inputFeatureIdx);
     }
 
     @Override
     public void copyFrom(INetworkHandler from) {
         model.setParams(((ComputationGraphHandler) from).model.params());
     }
+
+
+    protected INDArray[] buildInputs(Observation observation) {
+        return channelToNetworkInputMapper == null
+                ? new INDArray[] { observation.getChannelData(inputFeatureIdx) }
+                : channelToNetworkInputMapper.getNetworkInputs(observation);
+    }
+
+    protected INDArray[] buildInputs(Features features) {
+        return channelToNetworkInputMapper == null
+                ? new INDArray[] { features.get(inputFeatureIdx) }
+                : channelToNetworkInputMapper.getNetworkInputs(features);
+    }
+
 }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/INetworkHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/INetworkHandler.java
index 2a2b7ae95..be3526053 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/INetworkHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/INetworkHandler.java
@@ -1,30 +1,30 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * An interface defining operations that {@link BaseNetwork} need to do on different network implementations
- * (see {@link org.deeplearning4j.nn.multilayer.MultiLayerNetwork}, {@link org.deeplearning4j.nn.graph.ComputationGraph})
- * and networks composed of other networks (see {@link CompoundNetworkHandler}
- */
 public interface INetworkHandler {
     /**
      * @return true if the network is recurrent
@@ -72,12 +72,18 @@ public interface INetworkHandler {
      */
     INDArray[] recurrentStepOutput(Observation observation);
 
+    /**
+     * @param observation An {@link Observation}
+     * @return The output of the observation computed without using or updating the network state.
+     */
+    INDArray[] stepOutput(Observation observation);
+
     /**
      * Compute the output of a batch
-     * @param batch A {@link INDArray}
+     * @param features A {@link Features} instance
      * @return The output of the batch. The current state of the network is not used or changed.
      */
-    INDArray[] batchOutput(INDArray batch);
+    INDArray[] batchOutput(Features features);
 
     /**
      * Clear all network state.
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/IOutputNeuralNet.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/IOutputNeuralNet.java
index 96de0d558..a0024a0dd 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/IOutputNeuralNet.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/IOutputNeuralNet.java
@@ -1,26 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * An interface defining the output aspect of a {@link NeuralNet}.
- */
 public interface IOutputNeuralNet {
     /**
      * Compute the output for the supplied observation. Multiple calls to output() with the same observation will
@@ -37,7 +39,14 @@ public interface IOutputNeuralNet {
      * @param batch
      * @return The ouptut of the network
      */
-    NeuralNetOutput output(INDArray batch);
+    NeuralNetOutput output(INDArray batch); // FIXME: Remove once legacy classes are gone
+
+    /**
+     * Compute the output for the supplied batch.
+     * @param features A {@link Features} instance
+     * @return The ouptut of the network
+     */
+    NeuralNetOutput output(Features features);
 
     /**
      * Clear the neural net of any previous state
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ITrainableNeuralNet.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ITrainableNeuralNet.java
index c96dcdc7b..ebcdb0923 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ITrainableNeuralNet.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ITrainableNeuralNet.java
@@ -1,26 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 
-/**
- * An interface defining the trainable aspect of a {@link NeuralNet}.
- */
 public interface ITrainableNeuralNet extends IOutputNeuralNet {
     /**
      * Train the neural net using the supplied feature-labels
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandler.java
index b40874756..58389d74e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandler.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
 import lombok.Getter;
@@ -22,6 +26,7 @@ import org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -39,18 +44,25 @@ public class MultiLayerNetworkHandler implements INetworkHandler {
     private final MultiLayerConfiguration configuration;
     private final String labelName;
     private final String gradientName;
+    private final int inputFeatureIdx;
 
     /**
+     *
      * @param model The {@link MultiLayerNetwork} to use internally
      * @param labelName The name of the label (in {@link FeaturesLabels}) to use as the network's input.
      * @param gradientName The name of the gradient (in {@link Gradients}) to use as the network's output.
+     * @param inputFeatureIdx The channel index to use as the input of the model
      */
-    public MultiLayerNetworkHandler(MultiLayerNetwork model, String labelName, String gradientName) {
+    public MultiLayerNetworkHandler(MultiLayerNetwork model,
+                                    String labelName,
+                                    String gradientName,
+                                    int inputFeatureIdx) {
         this.model = model;
         recurrent = model.getOutputLayer() instanceof RnnOutputLayer;
         configuration = model.getLayerWiseConfigurations();
         this.labelName = labelName;
         this.gradientName = gradientName;
+        this.inputFeatureIdx = inputFeatureIdx;
     }
 
     @Override
@@ -77,14 +89,14 @@ public class MultiLayerNetworkHandler implements INetworkHandler {
 
     @Override
     public void performFit(FeaturesLabels featuresLabels) {
-        INDArray features = featuresLabels.getFeatures();
+        INDArray features = featuresLabels.getFeatures().get(inputFeatureIdx);
         INDArray labels = featuresLabels.getLabels(labelName);
         model.fit(features, labels);
     }
 
     @Override
     public void performGradientsComputation(FeaturesLabels featuresLabels) {
-        model.setInput(featuresLabels.getFeatures());
+        model.setInput(featuresLabels.getFeatures().get(inputFeatureIdx));
         model.setLabels(featuresLabels.getLabels(labelName));
         model.computeGradientAndScore();
     }
@@ -105,12 +117,17 @@ public class MultiLayerNetworkHandler implements INetworkHandler {
 
     @Override
     public INDArray[] recurrentStepOutput(Observation observation) {
-        return new INDArray[] { model.rnnTimeStep(observation.getData()) };
+        return new INDArray[] { model.rnnTimeStep(observation.getChannelData(inputFeatureIdx)) };
     }
 
     @Override
-    public INDArray[] batchOutput(INDArray batch) {
-        return new INDArray[] { model.output(batch) };
+    public INDArray[] batchOutput(Features features) {
+        return new INDArray[] { model.output(features.get(inputFeatureIdx)) };
+    }
+
+    @Override
+    public INDArray[] stepOutput(Observation observation) {
+        return new INDArray[] { model.output(observation.getChannelData(inputFeatureIdx)) };
     }
 
     @Override
@@ -120,7 +137,7 @@ public class MultiLayerNetworkHandler implements INetworkHandler {
 
     @Override
     public INetworkHandler clone() {
-        return new MultiLayerNetworkHandler(model.clone(), labelName, gradientName);
+        return new MultiLayerNetworkHandler(model.clone(), labelName, gradientName, inputFeatureIdx);
     }
 
     @Override
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NetworkHelper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NetworkHelper.java
new file mode 100644
index 000000000..b8cb36268
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NetworkHelper.java
@@ -0,0 +1,101 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.network;
+
+import lombok.NonNull;
+import org.deeplearning4j.nn.graph.ComputationGraph;
+import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+
+public class NetworkHelper {
+
+    /**
+     * Create a {@link INetworkHandler} with explicit network inputs to channel names mapping
+     * @param model A {@link ComputationGraph} instance
+     * @param networkInputsToChannelNameMap A {@link ChannelToNetworkInputMapper.NetworkInputToChannelBinding} array
+     *                                      describing which observation channels to feed to which network inputs.
+     * @param channelNames The list of channel names generated by the transform process. Should be in the same order.
+     * @param labelNames The names of the network's output labels
+     * @param gradientName The name of the network's gradient
+     * @return A {@link INetworkHandler}
+     */
+    public INetworkHandler buildHandler(ComputationGraph model,
+                                        @NonNull ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] networkInputsToChannelNameMap,
+                                        String[] channelNames,
+                                        String[] labelNames,
+                                        String gradientName) {
+        String[] networkInputNames = model.getConfiguration().getNetworkInputs().toArray(new String[0]);
+
+        ChannelToNetworkInputMapper mapper = new ChannelToNetworkInputMapper(networkInputsToChannelNameMap, networkInputNames, channelNames);
+        return new ComputationGraphHandler(model, labelNames, gradientName, mapper);
+    }
+
+    /**
+     * Create a {@link INetworkHandler} with the single network input mapped to a specific observation channel
+     * @param model A {@link ComputationGraph} instance
+     * @param networkInputChannel The name of the observation channel to use as the network's input.
+     *                            Empty to use the first channel.
+     * @param channelNames The list of channel names generated by the transform process. Should be in the same order.
+     * @param labelNames The names of the network's output labels
+     * @param gradientName The name of the network's gradient
+     * @return A {@link INetworkHandler}
+     */
+    public INetworkHandler buildHandler(ComputationGraph model,
+                                        String networkInputChannel,
+                                        String[] channelNames,
+                                        String[] labelNames,
+                                        String gradientName) {
+        int channelIdx = findChannelIdx(channelNames, networkInputChannel);
+        return new ComputationGraphHandler(model, labelNames, gradientName, channelIdx);
+    }
+
+    /**
+     * Create a {@link INetworkHandler} with the single network input mapped to a specific observation channel
+     * @param model A {@link MultiLayerNetwork} instance
+     * @param networkInputChannel The name of the observation channel to use as the network's input.
+     *                            Empty to use the first channel.
+     * @param channelNames The list of channel names generated by the transform process. Should be in the same order.
+     * @param labelName The name of the network's output label
+     * @param gradientName The name of the network's gradient
+     * @return A {@link INetworkHandler}
+     */
+    public INetworkHandler buildHandler(MultiLayerNetwork model,
+                                        String networkInputChannel,
+                                        String[] channelNames,
+                                        String labelName,
+                                        String gradientName) {
+        int channelIdx = findChannelIdx(channelNames, networkInputChannel);
+        return new MultiLayerNetworkHandler(model, labelName, gradientName, channelIdx);
+    }
+
+    private int findChannelIdx(String[] channelNames, String channelName) {
+        // When the channel name or the channelNames is null or empty, always use the first channel
+        if(channelName == null || channelName.isEmpty() || channelNames == null || channelNames.length == 0) {
+            return 0;
+        }
+
+        for (int i = 0; i < channelNames.length; ++i) {
+            if (channelNames[i] == channelName) {
+                return i;
+            }
+        }
+
+        throw new IllegalArgumentException("The channel '" + channelName + "' was not found in channelNames.");
+    }
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNet.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNet.java
index 8e7bbc166..79b0e2404 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNet.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNet.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network;
 
@@ -23,12 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.io.IOException;
 import java.io.OutputStream;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- *
- * Factorisation between ActorCritic and DQN neural net.
- * Useful for AsyncLearning and Thread code.
- */
 public interface NeuralNet extends ITrainableNeuralNet {
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNetOutput.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNetOutput.java
index 10a9c4703..7b73111b7 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNetOutput.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/NeuralNetOutput.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.util.HashMap;
 
-/**
- * A class containing the output(s) of a neural net. The outputs are stored as keys-values.
- */
 public class NeuralNetOutput {
     private final HashMap outputs = new HashMap();
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/QNetwork.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/QNetwork.java
index a4c103a02..4dc62019f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/QNetwork.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/QNetwork.java
@@ -1,22 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.network;
 
+import lombok.NonNull;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
 /**
@@ -25,14 +31,9 @@ import org.nd4j.linalg.api.ndarray.INDArray;
  * Gradient names: "Q"
        
  */
 public class QNetwork extends BaseNetwork {
-
-    public QNetwork(ComputationGraph model) {
-        this(new ComputationGraphHandler(model, new String[] { CommonLabelNames.QValues }, CommonGradientNames.QValues));
-    }
-
-    public QNetwork(MultiLayerNetwork model) {
-        this(new MultiLayerNetworkHandler(model, CommonLabelNames.QValues, CommonGradientNames.QValues));
-    }
+    private static final String[] LABEL_NAMES = new String[] {
+            CommonLabelNames.QValues
+    };
 
     private QNetwork(INetworkHandler handler) {
         super(handler);
@@ -50,4 +51,61 @@ public class QNetwork extends BaseNetwork {
     public QNetwork clone() {
         return new QNetwork(getNetworkHandler().clone());
     }
+
+    public static Builder builder() {
+        return new Builder();
+    }
+
+    public static class Builder {
+        private final NetworkHelper networkHelper = new NetworkHelper();
+
+        private ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] networkInputsToFeatureBindings;
+        private String[] channelNames;
+        private String inputChannelName;
+
+        private ComputationGraph cgNetwork;
+        private MultiLayerNetwork mlnNetwork;
+
+        public Builder withNetwork(@NonNull ComputationGraph network) {
+            this.cgNetwork = network;
+            return this;
+        }
+
+        public Builder withNetwork(@NonNull MultiLayerNetwork network) {
+            this.mlnNetwork = network;
+            return this;
+        }
+
+        public Builder inputBindings(ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] networkInputsToFeatureBindings) {
+            this.networkInputsToFeatureBindings = networkInputsToFeatureBindings;
+            return this;
+        }
+
+        public Builder specificBinding(String inputChannelName) {
+            this.inputChannelName = inputChannelName;
+            return this;
+        }
+
+        public Builder channelNames(String[] channelNames) {
+            this.channelNames = channelNames;
+            return this;
+        }
+
+        public QNetwork build() {
+            INetworkHandler networkHandler;
+
+            Preconditions.checkState(cgNetwork != null || mlnNetwork != null, "A network must be set.");
+
+            if(cgNetwork != null) {
+                networkHandler = (networkInputsToFeatureBindings == null)
+                        ? networkHelper.buildHandler(cgNetwork, inputChannelName, channelNames, LABEL_NAMES, CommonGradientNames.QValues)
+                        : networkHelper.buildHandler(cgNetwork, networkInputsToFeatureBindings, channelNames, LABEL_NAMES, CommonGradientNames.QValues);
+            } else {
+                networkHandler = networkHelper.buildHandler(mlnNetwork, inputChannelName, channelNames, CommonLabelNames.QValues, CommonGradientNames.QValues);
+            }
+
+            return new QNetwork(networkHandler);
+        }
+    }
+
 }
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticCompGraph.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticCompGraph.java
index f12626747..5b32483be 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticCompGraph.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticCompGraph.java
@@ -1,23 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
 import lombok.Getter;
+import org.apache.commons.lang3.NotImplementedException;
 import org.deeplearning4j.nn.api.NeuralNetwork;
 import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
 import org.deeplearning4j.nn.gradient.Gradient;
@@ -25,6 +29,7 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.network.CommonGradientNames;
@@ -39,11 +44,6 @@ import java.io.IOException;
 import java.io.OutputStream;
 import java.util.Collection;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- *
- * Standard implementation of ActorCriticCompGraph
- */
 @Deprecated
 public class ActorCriticCompGraph implements IActorCritic {
 
@@ -90,14 +90,14 @@ public class ActorCriticCompGraph implements IActorCritic
 
     @Override
     public void fit(FeaturesLabels featuresLabels) {
-        INDArray[] features = new INDArray[] { featuresLabels.getFeatures() };
+        INDArray[] features = new INDArray[] { featuresLabels.getFeatures().get(0) };
         INDArray[] labels = new INDArray[] { featuresLabels.getLabels(CommonLabelNames.ActorCritic.Value), featuresLabels.getLabels(CommonLabelNames.ActorCritic.Policy) };
         cg.fit(features, labels);
     }
 
     @Override
     public Gradients computeGradients(FeaturesLabels featuresLabels) {
-        cg.setInput(0, featuresLabels.getFeatures());
+        cg.setInput(0, featuresLabels.getFeatures().get(0));
         cg.setLabels(featuresLabels.getLabels(CommonLabelNames.ActorCritic.Value), featuresLabels.getLabels(CommonLabelNames.ActorCritic.Policy));
         cg.computeGradientAndScore();
         Collection iterationListeners = cg.getListeners();
@@ -193,10 +193,10 @@ public class ActorCriticCompGraph implements IActorCritic
     @Override
     public NeuralNetOutput output(Observation observation) {
         if(!isRecurrent()) {
-            return output(observation.getData());
+            return output(observation.getChannelData(0));
         }
 
-        INDArray[] cgOutput = cg.rnnTimeStep(observation.getData());
+        INDArray[] cgOutput = cg.rnnTimeStep(observation.getChannelData(0));
         return packageResult(cgOutput[0], cgOutput[1]);
     }
 
@@ -206,6 +206,11 @@ public class ActorCriticCompGraph implements IActorCritic
         return packageResult(cgOutput[0], cgOutput[1]);
     }
 
+    @Override
+    public NeuralNetOutput output(Features features) {
+        throw new NotImplementedException("Not implemented in legacy classes");
+    }
+
     private NeuralNetOutput packageResult(INDArray value, INDArray policy) {
         NeuralNetOutput result = new NeuralNetOutput();
         result.put(CommonOutputNames.ActorCritic.Value, value);
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraph.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraph.java
index 5215baff9..1e3947600 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraph.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraph.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- *
- * A factory for Actor Critic. Extend this to implement and provide your own
- * Actor Critic!
- */
 @Deprecated
 public interface ActorCriticFactoryCompGraph {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdConv.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdConv.java
index 01d99a0d7..cda26645f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdConv.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdConv.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
@@ -42,12 +45,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import java.util.Arrays;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- *
- * Standard factory for Conv net Actor Critic
- */
-// TODO: Provide default networks before deprecating
 @Value
 public class ActorCriticFactoryCompGraphStdConv implements ActorCriticFactoryCompGraph {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdDense.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdDense.java
index 0872b8400..65e409b83 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdDense.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactoryCompGraphStdDense.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
@@ -35,12 +38,6 @@ import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.learning.config.Adam;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- *
- *
- */
-// TODO: Provide default networks before deprecating
 @Value
 public class ActorCriticFactoryCompGraphStdDense implements ActorCriticFactoryCompGraph {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparate.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparate.java
index e34b9b3bf..4836edce5 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparate.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparate.java
@@ -1,27 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- *
- * A factory for Actor Critic. Extend this to implement and provide your own
- * Actor Critic!
- */
 @Deprecated
 public interface ActorCriticFactorySeparate {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparateStdDense.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparateStdDense.java
index d6c74a109..8f8b739d8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparateStdDense.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticFactorySeparateStdDense.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
@@ -43,10 +46,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import java.util.Arrays;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/9/16.
- */
-// TODO: Provide default networks before deprecating
 @Value
 public class ActorCriticFactorySeparateStdDense implements ActorCriticFactorySeparate {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticLoss.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticLoss.java
index ae4d45fb2..7141fd2e6 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticLoss.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticLoss.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
@@ -26,17 +30,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.shade.jackson.annotation.JsonInclude;
 
-/**
- *
- * Custom loss function required for Actor-Critic methods:
- * 
        - * L = sum_i advantage_i * log( probability_i ) + entropy( probability )
- * 
        
- * It is very similar to the Multi-Class Cross Entropy loss function.
- *
- * @author saudet
- * @see LossMCXENT
- */
 @EqualsAndHashCode
 @JsonInclude(JsonInclude.Include.NON_NULL)
 public class ActorCriticLoss implements ILossFunction {
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticSeparate.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticSeparate.java
index dfded632c..9daeb1af8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticSeparate.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/ActorCriticSeparate.java
@@ -1,22 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
 import lombok.Getter;
+import org.apache.commons.lang3.NotImplementedException;
 import org.deeplearning4j.nn.api.NeuralNetwork;
 import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.gradient.Gradient;
@@ -24,6 +29,7 @@ import org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.network.CommonGradientNames;
@@ -38,9 +44,6 @@ import java.io.IOException;
 import java.io.OutputStream;
 import java.util.Collection;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/23/16.
- */
 @Deprecated
 public class ActorCriticSeparate implements IActorCritic {
 
@@ -93,13 +96,13 @@ public class ActorCriticSeparate implements IAct
 
     @Override
     public void fit(FeaturesLabels featuresLabels) {
-        valueNet.fit(featuresLabels.getFeatures(), featuresLabels.getLabels(CommonLabelNames.ActorCritic.Value));
-        policyNet.fit(featuresLabels.getFeatures(), featuresLabels.getLabels(CommonLabelNames.ActorCritic.Policy));
+        valueNet.fit(featuresLabels.getFeatures().get(0), featuresLabels.getLabels(CommonLabelNames.ActorCritic.Value));
+        policyNet.fit(featuresLabels.getFeatures().get(0), featuresLabels.getLabels(CommonLabelNames.ActorCritic.Policy));
     }
 
     @Override
     public Gradients computeGradients(FeaturesLabels featuresLabels) {
-        valueNet.setInput(featuresLabels.getFeatures());
+        valueNet.setInput(featuresLabels.getFeatures().get(0));
         valueNet.setLabels(featuresLabels.getLabels(CommonLabelNames.ActorCritic.Value));
         valueNet.computeGradientAndScore();
         Collection valueIterationListeners = valueNet.getListeners();
@@ -109,7 +112,7 @@ public class ActorCriticSeparate implements IAct
             }
         }
 
-        policyNet.setInput(featuresLabels.getFeatures());
+        policyNet.setInput(featuresLabels.getFeatures().get(0));
         policyNet.setLabels(featuresLabels.getLabels(CommonLabelNames.ActorCritic.Policy));
         policyNet.computeGradientAndScore();
         Collection policyIterationListeners = policyNet.getListeners();
@@ -240,10 +243,10 @@ public class ActorCriticSeparate implements IAct
     @Override
     public NeuralNetOutput output(Observation observation) {
         if(!isRecurrent()) {
-            return output(observation.getData());
+            return output(observation.getChannelData(0));
         }
 
-        INDArray observationData = observation.getData();
+        INDArray observationData = observation.getChannelData(0);
         return packageResult(valueNet.rnnTimeStep(observationData), policyNet.rnnTimeStep(observationData));
     }
 
@@ -252,6 +255,11 @@ public class ActorCriticSeparate implements IAct
         return packageResult(valueNet.output(batch), policyNet.output(batch));
     }
 
+    @Override
+    public NeuralNetOutput output(Features features) {
+        throw new NotImplementedException("Not implemented in legacy classes");
+    }
+
     private NeuralNetOutput packageResult(INDArray value, INDArray policy) {
         NeuralNetOutput result = new NeuralNetOutput();
         result.put(CommonOutputNames.ActorCritic.Value, value);
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/IActorCritic.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/IActorCritic.java
index 5c8dc9c5f..0c739749e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/IActorCritic.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/ac/IActorCritic.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
@@ -22,14 +26,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.io.IOException;
 import java.io.OutputStream;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/5/16.
- *
- * An actor critic has one of its input act as an actor and the
- * other one as a critic.
- * The first output quantify the advantage provided by getting to one state
- * while the other choose among a set of action which is the best one.
- */
 @Deprecated
 public interface IActorCritic extends NeuralNet {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticDenseNetworkConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticDenseNetworkConfiguration.java
index e85ec6356..dcd16c14b 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticDenseNetworkConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticDenseNetworkConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticNetworkConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticNetworkConfiguration.java
index c043f458e..e54006c4a 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticNetworkConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/ActorCriticNetworkConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/DQNDenseNetworkConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/DQNDenseNetworkConfiguration.java
index 452cb83c2..a059000ec 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/DQNDenseNetworkConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/DQNDenseNetworkConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/NetworkConfiguration.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/NetworkConfiguration.java
index c77c379a2..fca6c2431 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/NetworkConfiguration.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/configuration/NetworkConfiguration.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.configuration;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQN.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQN.java
index 2365d8a66..8338884a2 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQN.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQN.java
@@ -1,27 +1,33 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.dqn;
 
+import org.apache.commons.lang3.NotImplementedException;
 import org.deeplearning4j.nn.api.NeuralNetwork;
 import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.network.CommonGradientNames;
@@ -36,9 +42,6 @@ import java.io.IOException;
 import java.io.OutputStream;
 import java.util.Collection;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/25/16.
- */
 @Deprecated
 public class DQN implements IDQN {
 
@@ -79,11 +82,18 @@ public class DQN implements IDQN {
         result.put(CommonOutputNames.QValues, mln.output(batch));
 
         return result;
+    }
 
+    @Override
+    public NeuralNetOutput output(Features features) {
+        NeuralNetOutput result = new NeuralNetOutput();
+        result.put(CommonOutputNames.QValues, mln.output(features.get(0)));
+
+        return result;
     }
 
     public NeuralNetOutput output(Observation observation) {
-        return output(observation.getData());
+        return output(observation.getChannelData(0));
     }
 
     @Deprecated
@@ -93,7 +103,7 @@ public class DQN implements IDQN {
 
     @Override
     public void fit(FeaturesLabels featuresLabels) {
-        fit(featuresLabels.getFeatures(), featuresLabels.getLabels(CommonLabelNames.QValues));
+        fit(featuresLabels.getFeatures().get(0), featuresLabels.getLabels(CommonLabelNames.QValues));
     }
 
     @Override
@@ -129,7 +139,7 @@ public class DQN implements IDQN {
 
     @Override
     public Gradients computeGradients(FeaturesLabels featuresLabels) {
-        mln.setInput(featuresLabels.getFeatures());
+        mln.setInput(featuresLabels.getFeatures().get(0));
         mln.setLabels(featuresLabels.getLabels(CommonLabelNames.QValues));
         mln.computeGradientAndScore();
         Collection iterationListeners = mln.getListeners();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactory.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactory.java
index 4f9740b9e..fcdcf1c28 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactory.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactory.java
@@ -1,24 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.dqn;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/27/16.
- */
 public interface DQNFactory {
 
     IDQN buildDQN(int shapeInputs[], int numOutputs);
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdConv.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdConv.java
index 077bbf1ce..cf683aa35 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdConv.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdConv.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.dqn;
 
@@ -40,9 +43,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import java.util.Arrays;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/13/16.
- */
 @Value
 public class DQNFactoryStdConv implements DQNFactory {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdDense.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdDense.java
index ebe730b4d..d35a5f064 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdDense.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/DQNFactoryStdDense.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.dqn;
 
@@ -39,10 +42,6 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
 
 import java.util.Arrays;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/13/16.
- */
-
 @Value
 public class DQNFactoryStdDense implements DQNFactory {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/IDQN.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/IDQN.java
index 2b172ff18..fb683fbed 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/IDQN.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/network/dqn/IDQN.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.dqn;
 
@@ -20,12 +24,6 @@ import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.rl4j.network.NeuralNet;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/12/16.
- *
- * This neural net quantify the value of each action given a state
- *
- */
 @Deprecated
 public interface IDQN extends NeuralNet {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/IObservationSource.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/IObservationSource.java
new file mode 100644
index 000000000..73c359f60
--- /dev/null
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/IObservationSource.java
@@ -0,0 +1,24 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+package org.deeplearning4j.rl4j.observation;
+
+public interface IObservationSource {
+    Observation getObservation();
+}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/Observation.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/Observation.java
index 6603429cc..17c883941 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/Observation.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/Observation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.observation;
 
@@ -30,25 +34,48 @@ public class Observation implements Encodable {
     /**
      * A singleton representing a skipped observation
      */
-    public static Observation SkippedObservation = new Observation(null);
+    public static Observation SkippedObservation = new Observation();
 
     /**
      * @return A INDArray containing the data of the observation
      */
     @Getter
-    private final INDArray data;
+    private final INDArray[] channelsData;
 
+    public INDArray getChannelData(int channelIdx) {
+        return channelsData[channelIdx];
+    }
+
+    // TODO: Remove once Encodable is removed
     @Override
     public double[] toArray() {
-        return data.data().asDouble();
+        return channelsData[0].data().asDouble();
     }
 
     public boolean isSkipped() {
-        return data == null;
+        return channelsData == null;
     }
 
+    private Observation() {
+        this.channelsData = null;
+    }
+
+    // TODO: Remove when legacy code is gone
     public Observation(INDArray data) {
-        this.data = data;
+        this.channelsData = new INDArray[] { data };
+    }
+
+    public Observation(INDArray[] channelsData) {
+        this.channelsData = channelsData;
+    }
+
+    // TODO: Remove when legacy code is gone
+    public INDArray getData() {
+        return channelsData[0];
+    }
+
+    public int numChannels() {
+        return channelsData.length;
     }
 
     /**
@@ -56,10 +83,14 @@ public class Observation implements Encodable {
      * @return
      */
     public Observation dup() {
-        if(data == null) {
+        if(channelsData == null) {
             return SkippedObservation;
         }
 
-        return new Observation(data.dup());
+        INDArray[] duplicated = new INDArray[channelsData.length];
+        for(int i = 0; i < channelsData.length; ++i) {
+            duplicated[i] = channelsData[i].dup();
+        }
+        return new Observation(duplicated);
     }
 }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/EncodableToINDArrayTransform.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/EncodableToINDArrayTransform.java
index 8be8c7ed9..7d80a2797 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/EncodableToINDArrayTransform.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/EncodableToINDArrayTransform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K. K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.observation.transform;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/FilterOperation.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/FilterOperation.java
index 642ccf004..7b49d40a8 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/FilterOperation.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/FilterOperation.java
@@ -1,27 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform;
 
 import java.util.Map;
 
-/**
- * Used with {@link TransformProcess TransformProcess} to filter-out an observation.
- *
- * @author Alexandre Boulanger
- */
 public interface FilterOperation {
     /**
      * The logic that determines if the observation should be skipped.
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/ResettableOperation.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/ResettableOperation.java
index d16662671..e7c50230b 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/ResettableOperation.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/ResettableOperation.java
@@ -1,23 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform;
 
-/**
- * The {@link TransformProcess TransformProcess} will call reset() (at the start of an episode) of any step that implement this interface.
- */
 public interface ResettableOperation {
     /**
      * Called by TransformProcess when an episode starts. See {@link TransformProcess#reset() TransformProcess.reset()}
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/TransformProcess.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/TransformProcess.java
index 2ea56f858..03319433f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/TransformProcess.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/TransformProcess.java
@@ -1,20 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform;
 
+import lombok.Getter;
 import org.apache.commons.lang3.NotImplementedException;
 import org.deeplearning4j.rl4j.helper.INDArrayHelper;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -30,23 +35,10 @@ import java.util.HashSet;
 import java.util.List;
 import java.util.Map;
 
-/**
- * A TransformProcess will build an {@link Observation Observation} from the raw data coming from the environment.
- * Three types of steps are available:
- *   1) A {@link FilterOperation FilterOperation}: Used to determine if an observation should be skipped.
- *   2) An {@link Operation Operation}: Applies a transform and/or conversion to an observation channel.
- *   3) A {@link DataSetPreProcessor DataSetPreProcessor}: Applies a DataSetPreProcessor to the observation channel. The data in the channel must be a DataSet.
- *
- * Instances of the three types above can be called in any order. The only requirement is that when build() is called,
- * all channels must be instances of INDArrays or DataSets
- *
- *   NOTE: Presently, only single-channels observations are supported.
- *
- * @author Alexandre Boulanger
- */
 public class TransformProcess {
 
     private final List> operations;
+    @Getter
     private final String[] channelNames;
     private final HashSet operationsChannelNames;
 
@@ -146,8 +138,11 @@ public class TransformProcess {
             channelsData.replace(channelName, INDArrayHelper.forceCorrectShape(finalChannelData));
         }
 
-        // TODO: Add support to multi-channel observations
-        INDArray data = ((INDArray) channelsData.get(channelNames[0]));
+        INDArray[] data = new INDArray[channelNames.length];
+        for(int i = 0; i < channelNames.length; ++i) {
+            data[i] = ((INDArray) channelsData.get(channelNames[i]));
+        }
+
         return new Observation(data);
     }
 
@@ -220,11 +215,6 @@ public class TransformProcess {
                 requiredChannelNames.add(channelName);
             }
 
-            // TODO: Remove when multi-channel observation is supported
-            if(channelNames.length != 1) {
-                throw new NotImplementedException("Multi-channel observations is not presently supported.");
-            }
-
             return new TransformProcess(this, channelNames);
         }
     }
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilter.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilter.java
index c9b943931..d9c4737c1 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilter.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilter.java
@@ -1,30 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.filter;
 
 import org.deeplearning4j.rl4j.observation.transform.FilterOperation;
 import org.nd4j.common.base.Preconditions;
 import java.util.Map;
 
-/**
- * Used with {@link org.deeplearning4j.rl4j.observation.transform.TransformProcess TransformProcess}. Will cause the
- * transform process to skip a fixed number of frames between non skipped ones.
- *
- * @author Alexandre Boulanger
- */
 public class UniformSkippingFilter implements FilterOperation {
 
     private final int skipFrame;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/EncodableToImageWritableTransform.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/EncodableToImageWritableTransform.java
index 1211c009c..426450b22 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/EncodableToImageWritableTransform.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/EncodableToImageWritableTransform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.legacy;
 
 import org.bytedeco.javacv.Frame;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/ImageWritableToINDArrayTransform.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/ImageWritableToINDArrayTransform.java
index 515ee8e47..9fc0289e6 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/ImageWritableToINDArrayTransform.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/legacy/ImageWritableToINDArrayTransform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.legacy;
 
 import org.datavec.api.transform.Operation;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransform.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransform.java
index e57342964..3700e97f1 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransform.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransform.java
@@ -1,27 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.operation;
 
 import org.datavec.api.transform.Operation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * A simple transform that converts a double[] into a INDArray
- */
 public class ArrayToINDArrayTransform implements Operation {
     private final long[] shape;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransform.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransform.java
index e786d72c4..9991f1880 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransform.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.operation;
 
 import org.datavec.api.transform.Operation;
@@ -24,23 +28,6 @@ import org.deeplearning4j.rl4j.observation.transform.operation.historymerge.Hist
 import org.deeplearning4j.rl4j.observation.transform.operation.historymerge.HistoryStackAssembler;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * The HistoryMergeTransform will accumulate features from incoming INDArrays and will assemble its content
- * into a new INDArray containing a single example.
- *
- * This is used in scenarios where motion in an important element.
- *
- * There is a special case:
- *    * When the store is not full (not ready), the data from the incoming INDArray is stored but null is returned (will be interpreted as a skipped observation)
- * 
        
- * The HistoryMergeTransform requires two sub components: 
        
- *    1) The {@link HistoryMergeElementStore HistoryMergeElementStore} that supervises what and how input INDArrays are kept. (ex.: Circular FIFO, trailing min/max/avg, etc...)
- *       The default is a Circular FIFO.
- *    2) The {@link HistoryMergeAssembler HistoryMergeAssembler} that will assemble the store content into a resulting single INDArray. (ex.: stacked along a dimension, squashed into a single observation, etc...)
- *       The default is stacking along the dimension 0.
- *
- * @author Alexandre Boulanger
- */
 public class HistoryMergeTransform implements Operation, ResettableOperation {
 
     private final HistoryMergeElementStore historyMergeElementStore;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransform.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransform.java
index 24587cb90..2d5bea9e4 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransform.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransform.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.operation;
 
 import org.datavec.api.transform.Operation;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStore.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStore.java
index 3ccd75d13..601e5316c 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStore.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStore.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.operation.historymerge;
 
 import org.apache.commons.collections4.queue.CircularFifoQueue;
@@ -21,12 +25,6 @@ import org.nd4j.common.base.Preconditions;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * CircularFifoStore is used with the {@link HistoryMergeTransform HistoryMergeTransform}. This store is a first-in first-out queue
- * with a fixed size that replaces its oldest element if full.
- *
- * @author Alexandre Boulanger
- */
 public class CircularFifoStore implements HistoryMergeElementStore {
 
     private final CircularFifoQueue queue;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeAssembler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeAssembler.java
index 01c32e062..37fc1aa78 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeAssembler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeAssembler.java
@@ -1,30 +1,27 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.operation.historymerge;
 
 import org.deeplearning4j.rl4j.observation.transform.operation.HistoryMergeTransform;
 import org.nd4j.linalg.api.ndarray.INDArray;
 
-/**
- * A HistoryMergeAssembler is used with the {@link HistoryMergeTransform HistoryMergeTransform}. This interface defines how the array of INDArray
- * given by the {@link HistoryMergeElementStore HistoryMergeElementStore} is packaged into the single INDArray that will be
- * returned by the HistoryMergeTransform
- *
- * @author Alexandre Boulanger
- */
 public interface HistoryMergeAssembler {
     /**
      * Assemble an array of INDArray into a single INArray
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeElementStore.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeElementStore.java
index 0d28066e9..501f293d0 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeElementStore.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryMergeElementStore.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.observation.transform.operation.historymerge;
 
 import org.deeplearning4j.rl4j.observation.transform.operation.HistoryMergeTransform;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssembler.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssembler.java
index d5b13742a..8ded94ac3 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssembler.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssembler.java
@@ -1,31 +1,28 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.observation.transform.operation.historymerge;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * HistoryStackAssembler is used with the HistoryMergeTransform. This assembler will
- * stack along the dimension 0. For example if the store elements are of shape [ Height, Width ]
- * the output will be of shape [ Stacked, Height, Width ]
- *
- * @author Alexandre Boulanger
- */
 public class HistoryStackAssembler implements HistoryMergeAssembler {
 
     /**
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/ACPolicy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/ACPolicy.java
index a2c80aa21..2e44c5419 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/ACPolicy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/ACPolicy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.policy;
 
@@ -32,12 +36,6 @@ import org.nd4j.linalg.factory.Nd4j;
 
 import java.io.IOException;
 
-/**
- * A stochastic policy that, when training, explore the environment based on
- * the softmax output of the actor critic, but objects constructed.
- * Revert to a greedy policy when not training.
- *
- */
 public class ACPolicy extends Policy {
 
     final private IOutputNeuralNet neuralNet;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/BoltzmannQ.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/BoltzmannQ.java
index 48187158f..01068081e 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/BoltzmannQ.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/BoltzmannQ.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.policy;
 
@@ -25,12 +29,6 @@ import org.nd4j.linalg.api.rng.Random;
 
 import static org.nd4j.linalg.ops.transforms.Transforms.exp;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/10/16.
- *
- * Boltzmann exploration is a stochastic policy wrt to the
- * exponential Q-values as evaluated by the dqn model.
- */
 public class BoltzmannQ extends Policy {
 
     final private IDQN dqn;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/DQNPolicy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/DQNPolicy.java
index 7525e7c36..206533ce9 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/DQNPolicy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/DQNPolicy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.policy;
 
@@ -28,14 +32,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import java.io.IOException;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/18/16.
- *
- * DQN policy returns the action with the maximum Q-value as evaluated
- * by the dqn model
- */
-
-// FIXME: Should we rename this "GreedyPolicy"?
 @AllArgsConstructor
 public class DQNPolicy extends Policy {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/EpsGreedy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/EpsGreedy.java
index 47a5a6138..d0a3e5b7d 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/EpsGreedy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/EpsGreedy.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.policy;
 
@@ -33,16 +36,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.rng.Random;
 import org.nd4j.linalg.factory.Nd4j;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/24/16.
- *
- * An epsilon greedy policy choose the next action
- * - randomly with epsilon probability
- * - deleguate it to constructor argument 'policy' with (1-epsilon) probability.
- *
- * epislon is annealed to minEpsilon over epsilonNbStep steps
- *
- */
 @Slf4j
 public class EpsGreedy         extends Policy {
 
@@ -125,7 +118,7 @@ public class EpsGreedy extends Policy {
     public A nextAction(Observation observation) {
         // FIXME: remove if() and content once deprecated methods are removed.
         if(actionSchema == null) {
-            return this.nextAction(observation.getData());
+            return this.nextAction(observation.getChannelData(0));
         }
 
         double ep = getEpsilon();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/INeuralNetPolicy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/INeuralNetPolicy.java
index 76a5396f5..0cc5764f2 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/INeuralNetPolicy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/INeuralNetPolicy.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.policy;
 
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/IPolicy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/IPolicy.java
index ffc029835..0894fd681 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/IPolicy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/IPolicy.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.policy;
 
 import org.deeplearning4j.rl4j.learning.IHistoryProcessor;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/Policy.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/Policy.java
index e89098928..b0fcfe5a4 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/Policy.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/policy/Policy.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.policy;
 
@@ -27,13 +31,6 @@ import org.deeplearning4j.rl4j.space.ActionSpace;
 import org.deeplearning4j.rl4j.space.Encodable;
 import org.deeplearning4j.rl4j.util.LegacyMDPWrapper;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) 7/18/16.
- *
- * Abstract class common to all policies
- *
- * A Policy responsability is to choose the next action given a state
- */
 public abstract class Policy implements INeuralNetPolicy {
 
     public abstract IOutputNeuralNet getNeuralNet();
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/AsyncTrainer.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/AsyncTrainer.java
index 40688a42f..143b6b9ae 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/AsyncTrainer.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/AsyncTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.trainer;
 
 import lombok.NonNull;
@@ -26,12 +30,6 @@ import java.util.function.Predicate;
 
 // TODO: Add listeners & events
 
-/**
- * A {@link ITrainer} implementation that will create a single {@link IAgentLearner} and perform the training in a
- * synchronized setup, until a stopping condition is met.
- *
- * @param  The type of the actions expected by the environment
- */
 public class AsyncTrainer implements ITrainer {
 
     private final Builder> agentLearnerBuilder;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/ITrainer.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/ITrainer.java
index 9bd011cdb..415f5ab0f 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/ITrainer.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/ITrainer.java
@@ -1,23 +1,24 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.trainer;
 
-/**
- * An interface describing the behavior of all trainers
- */
 public interface ITrainer {
     /**
      * Perform the training
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/SyncTrainer.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/SyncTrainer.java
index b7f55aa58..93371b208 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/SyncTrainer.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/trainer/SyncTrainer.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 package org.deeplearning4j.rl4j.trainer;
 
 import lombok.Getter;
@@ -24,12 +28,6 @@ import java.util.function.Predicate;
 
 // TODO: Add listeners & events
 
-/**
- * A {@link ITrainer} implementation that will create a single {@link IAgentLearner} and perform the training in a
- * synchronized setup, until a stopping condition is met.
- *
- * @param  The type of the actions expected by the environment
- */
 public class SyncTrainer implements ITrainer {
 
     private final Predicate> stoppingCondition;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/Constants.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/Constants.java
index bfb56a18a..7e1ec9490 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/Constants.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/Constants.java
@@ -1,26 +1,25 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.util;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/2/16.
- *
- * Utility class containing constants
- */
 public class Constants {
 
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManager.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManager.java
index 61e41c2f6..8601141a4 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManager.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManager.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.util;
 
@@ -51,13 +54,6 @@ import java.util.zip.ZipEntry;
 import java.util.zip.ZipFile;
 import java.util.zip.ZipOutputStream;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/1/16.
- *
- * This class handle the recording of one training.
- * It creates the directory rl4j-data if it does not exist,
- * the folder for every training and handle every path and model savings
- */
 @Slf4j
 public class DataManager implements IDataManager {
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListener.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListener.java
index aa4ec4d17..4a9cdd737 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListener.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListener.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.util;
 
 import lombok.extern.slf4j.Slf4j;
@@ -7,10 +27,6 @@ import org.deeplearning4j.rl4j.learning.ILearning;
 import org.deeplearning4j.rl4j.learning.async.AsyncThread;
 import org.deeplearning4j.rl4j.learning.listener.TrainingListener;
 
-/**
- * DataManagerSyncTrainingListener can be added to the listeners of SyncLearning so that the
- * training process can be fed to the DataManager
- */
 @Slf4j
 public class DataManagerTrainingListener implements TrainingListener {
     private final IDataManager dataManager;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/IDataManager.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/IDataManager.java
index ba4df804a..45f6ad8b7 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/IDataManager.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/IDataManager.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.util;
 
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/LegacyMDPWrapper.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/LegacyMDPWrapper.java
index f49a60fc4..1254755a5 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/LegacyMDPWrapper.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/LegacyMDPWrapper.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.util;
 
 import lombok.AccessLevel;
diff --git a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/VideoRecorder.java b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/VideoRecorder.java
index 031f5a894..03031994d 100644
--- a/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/VideoRecorder.java
+++ b/rl4j/rl4j-core/src/main/java/org/deeplearning4j/rl4j/util/VideoRecorder.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.util;
 
@@ -24,26 +28,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 
 import static org.bytedeco.ffmpeg.global.avcodec.AV_CODEC_ID_H264;
 
-/**
- * VideoRecorder is used to create a video from a sequence of INDArray frames. INDArrays are assumed to be in CHW format where C=3 and pixels are RGB encoded
        
- * Example:
        
- * 
        - * {@code
- *        VideoRecorder recorder = VideoRecorder.builder(160, 100)
- *             .numChannels(3)
- *             .isRGBOrder(true)
- *             .build();
- *         recorder.startRecording("myVideo.mp4");
- *         while(...) {
- *             INDArray chwData = Nd4j.create()
- *             recorder.record(chwData);
- *         }
- *         recorder.stopRecording();
- * }
- * 
        
- *
- * @author Alexandre Boulanger
- */
 @Slf4j
 public class VideoRecorder implements AutoCloseable {
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/AgentLearnerCartpole.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/AgentLearnerCartpole.java
index 75db7c20d..4665b57ea 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/AgentLearnerCartpole.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/AgentLearnerCartpole.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j;
 
 import org.apache.commons.lang3.builder.Builder;
@@ -69,8 +89,8 @@ public class AgentLearnerCartpole {
         };
 
         //Builder> builder = setupDoubleDQN(environmentBuilder, transformProcessBuilder, listeners, rnd);
-        //Builder> builder = setupNStepQLearning(environmentBuilder, transformProcessBuilder, listeners, rnd);
-        Builder> builder = setupAdvantageActorCritic(environmentBuilder, transformProcessBuilder, listeners, rnd);
+        Builder> builder = setupNStepQLearning(environmentBuilder, transformProcessBuilder, listeners, rnd);
+        //Builder> builder = setupAdvantageActorCritic(environmentBuilder, transformProcessBuilder, listeners, rnd);
 
         ITrainer trainer;
         if(IS_ASYNC) {
@@ -90,8 +110,7 @@ public class AgentLearnerCartpole {
         trainer.train();
         long after = System.nanoTime();
 
-
-        System.out.println(String.format("Total time for %d episodes: %fs", NUM_EPISODES, (after - before) / 1e6));
+        System.out.println(String.format("Total time for %d episodes: %fms", NUM_EPISODES, (after - before) / 1e6));
     }
 
     private static Builder> setupDoubleDQN(Builder> environmentBuilder,
@@ -184,7 +203,7 @@ public class AgentLearnerCartpole {
                 .build();
         DQNFactory factory = new DQNFactoryStdDense(netConf);
         IDQN dqnNetwork = factory.buildDQN(new int[] { 4 }, 2);
-        return new QNetwork((MultiLayerNetwork)dqnNetwork.getNeuralNetworks()[0]);
+        return QNetwork.builder().withNetwork((MultiLayerNetwork)dqnNetwork.getNeuralNetworks()[0]).build();
     }
 
     private static ITrainableNeuralNet buildActorCriticNetwork() {
@@ -197,12 +216,16 @@ public class AgentLearnerCartpole {
         if(USE_SEPARATE_NETWORKS) {
             ActorCriticFactorySeparateStdDense factory = new ActorCriticFactorySeparateStdDense(netConf);
             ActorCriticSeparate network =  factory.buildActorCritic(new int[] { 4 }, 2);
-            return new ActorCriticNetwork((MultiLayerNetwork)network.getNeuralNetworks()[0], (MultiLayerNetwork)network.getNeuralNetworks()[1]);
+            return ActorCriticNetwork.builder()
+                    .withSeparateNetworks((MultiLayerNetwork)network.getNeuralNetworks()[0], (MultiLayerNetwork)network.getNeuralNetworks()[1])
+                    .build();
         }
 
         ActorCriticFactoryCompGraphStdDense factory = new ActorCriticFactoryCompGraphStdDense(netConf);
         ActorCriticCompGraph network = factory.buildActorCritic(new int[] { 4 }, 2);
-        return new ActorCriticNetwork((ComputationGraph) network.getNeuralNetworks()[0]);
+        return ActorCriticNetwork.builder()
+                    .withCombinedNetwork((ComputationGraph) network.getNeuralNetworks()[0])
+                    .build();
     }
 
     private static class EpisodeScorePrinter implements AgentListener {
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/NStepRnn.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/NStepRnn.java
index 50af15c06..5cd403cee 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/NStepRnn.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/NStepRnn.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j;
 
 import org.apache.commons.lang3.builder.Builder;
@@ -81,7 +101,11 @@ public class NStepRnn {
                 .stoppingCondition(t -> t.getEpisodeCount() >= NUM_EPISODES)
                 .build();
 
+        long before = System.nanoTime();
         trainer.train();
+        long after = System.nanoTime();
+
+        System.out.println(String.format("Total time for %d episodes: %fms", NUM_EPISODES, (after - before) / 1e6));
     }
 
     private static Builder> setupAdvantageActorCritic(Builder> environmentBuilder,
@@ -130,10 +154,12 @@ public class NStepRnn {
                 .setOutputs("value", "softmax")
                 .build();
 
-        ComputationGraph valueModel = new ComputationGraph(valueConfiguration);
-        valueModel.init();
+        ComputationGraph model = new ComputationGraph(valueConfiguration);
+        model.init();
 
-        return new ActorCriticNetwork(valueModel);
+        return ActorCriticNetwork.builder()
+                .withCombinedNetwork(model)
+                .build();
     }
 
     private static ITrainableNeuralNet buildSeparateActorCriticNetwork() {
@@ -153,7 +179,9 @@ public class NStepRnn {
         ComputationGraph policyModel = new ComputationGraph(policyConfiguration);
         policyModel.init();
 
-        return new ActorCriticNetwork(valueModel, policyModel);
+        return ActorCriticNetwork.builder()
+                .withSeparateNetworks(valueModel, policyModel)
+                .build();
     }
 
     private static class EpisodeScorePrinter implements AgentListener {
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/RobotLakeExample.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/RobotLakeExample.java
new file mode 100644
index 000000000..4f95632a0
--- /dev/null
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/RobotLakeExample.java
@@ -0,0 +1,298 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j;
+
+import org.apache.commons.lang3.builder.Builder;
+import org.deeplearning4j.nn.api.OptimizationAlgorithm;
+import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
+import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
+import org.deeplearning4j.nn.conf.inputs.InputType;
+import org.deeplearning4j.nn.conf.layers.*;
+import org.deeplearning4j.nn.graph.ComputationGraph;
+import org.deeplearning4j.nn.weights.WeightInit;
+import org.deeplearning4j.rl4j.agent.Agent;
+import org.deeplearning4j.rl4j.agent.AgentLearner;
+import org.deeplearning4j.rl4j.agent.IAgentLearner;
+import org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic.AdvantageActorCritic;
+import org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.BaseTransitionTDAlgorithm;
+import org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning.NStepQLearning;
+import org.deeplearning4j.rl4j.agent.learning.update.updater.NeuralNetUpdaterConfiguration;
+import org.deeplearning4j.rl4j.agent.listener.AgentListener;
+import org.deeplearning4j.rl4j.builder.AdvantageActorCriticBuilder;
+import org.deeplearning4j.rl4j.builder.DoubleDQNBuilder;
+import org.deeplearning4j.rl4j.builder.NStepQLearningBuilder;
+import org.deeplearning4j.rl4j.environment.Environment;
+import org.deeplearning4j.rl4j.environment.StepResult;
+import org.deeplearning4j.rl4j.experience.ReplayMemoryExperienceHandler;
+import org.deeplearning4j.rl4j.experience.StateActionExperienceHandler;
+import org.deeplearning4j.rl4j.mdp.robotlake.RobotLake;
+import org.deeplearning4j.rl4j.network.ActorCriticNetwork;
+import org.deeplearning4j.rl4j.network.ChannelToNetworkInputMapper;
+import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
+import org.deeplearning4j.rl4j.network.QNetwork;
+import org.deeplearning4j.rl4j.network.ac.*;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.deeplearning4j.rl4j.observation.transform.TransformProcess;
+import org.deeplearning4j.rl4j.observation.transform.operation.ArrayToINDArrayTransform;
+import org.deeplearning4j.rl4j.policy.EpsGreedy;
+import org.deeplearning4j.rl4j.trainer.ITrainer;
+import org.deeplearning4j.rl4j.trainer.SyncTrainer;
+import org.deeplearning4j.rl4j.util.Constants;
+import org.nd4j.linalg.activations.Activation;
+import org.nd4j.linalg.api.rng.Random;
+import org.nd4j.linalg.factory.Nd4j;
+import org.nd4j.linalg.learning.config.Adam;
+import org.nd4j.linalg.lossfunctions.LossFunctions;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class RobotLakeExample {
+    private static final int FROZEN_LAKE_SIZE = 5;
+
+    private static final int NUM_EPISODES = 10000;
+
+    private static final ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] INPUT_CHANNEL_BINDINGS = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("tracker-in", "tracker"),
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("radar-in", "radar"),
+    };
+    private static final String[] TRANSFORM_PROCESS_OUTPUT_CHANNELS = new String[] { "tracker", "radar" };
+
+    public static void main(String[] args) {
+        Random rnd = Nd4j.getRandomFactory().getNewRandomInstance(123);
+        Builder> environmentBuilder = () -> new RobotLake(FROZEN_LAKE_SIZE, false, rnd);
+        Builder transformProcessBuilder = () -> TransformProcess.builder()
+                .transform("tracker", new ArrayToINDArrayTransform())
+                .transform("radar", new ArrayToINDArrayTransform())
+                .build(TRANSFORM_PROCESS_OUTPUT_CHANNELS);
+
+        List> listeners = new ArrayList>() {
+            {
+                add(new EpisodeScorePrinter(100));
+            }
+        };
+
+        Builder> builder = setupDoubleDQN(environmentBuilder, transformProcessBuilder, listeners, rnd);
+        //Builder> builder = setupNStepQLearning(environmentBuilder, transformProcessBuilder, listeners, rnd);
+        //Builder> builder = setupAdvantageActorCritic(environmentBuilder, transformProcessBuilder, listeners, rnd);
+
+        ITrainer trainer = SyncTrainer.builder()
+                .agentLearnerBuilder(builder)
+                .stoppingCondition(t -> t.getEpisodeCount() >= NUM_EPISODES)
+                .build();
+
+        long before = System.nanoTime();
+        trainer.train();
+        long after = System.nanoTime();
+
+
+        System.out.println(String.format("Total time for %d episodes: %fms", NUM_EPISODES, (after - before) / 1e6));
+    }
+
+    private static Builder> setupDoubleDQN(Builder> environmentBuilder,
+                                                                  Builder transformProcessBuilder,
+                                                                  List> listeners,
+                                                                  Random rnd) {
+        ITrainableNeuralNet network = buildQNetwork();
+
+        DoubleDQNBuilder.Configuration configuration = DoubleDQNBuilder.Configuration.builder()
+                .policyConfiguration(EpsGreedy.Configuration.builder()
+                        .epsilonNbStep(3000)
+                        .minEpsilon(0.1)
+                        .build())
+                .experienceHandlerConfiguration(ReplayMemoryExperienceHandler.Configuration.builder()
+                        .maxReplayMemorySize(10000)
+                        .batchSize(64)
+                        .build())
+                .neuralNetUpdaterConfiguration(NeuralNetUpdaterConfiguration.builder()
+                        .targetUpdateFrequency(50)
+                        .build())
+                .updateAlgorithmConfiguration(BaseTransitionTDAlgorithm.Configuration.builder()
+                        .gamma(0.99)
+                        .build())
+                .agentLearnerConfiguration(AgentLearner.Configuration.builder()
+                        .maxEpisodeSteps(200)
+                        .build())
+                .agentLearnerListeners(listeners)
+                .build();
+        return new DoubleDQNBuilder(configuration, network, environmentBuilder, transformProcessBuilder, rnd);
+    }
+
+
+    private static Builder> setupNStepQLearning(Builder> environmentBuilder,
+                                                                       Builder transformProcessBuilder,
+                                                                       List> listeners,
+                                                                       Random rnd) {
+        ITrainableNeuralNet network = buildQNetwork();
+
+        NStepQLearningBuilder.Configuration configuration = NStepQLearningBuilder.Configuration.builder()
+                .policyConfiguration(EpsGreedy.Configuration.builder()
+                        .epsilonNbStep(75000)
+                        .minEpsilon(0.1)
+                        .build())
+                .neuralNetUpdaterConfiguration(NeuralNetUpdaterConfiguration.builder()
+                        .targetUpdateFrequency(50)
+                        .build())
+                .nstepQLearningConfiguration(NStepQLearning.Configuration.builder()
+                        .build())
+                .experienceHandlerConfiguration(StateActionExperienceHandler.Configuration.builder()
+                        .batchSize(Integer.MAX_VALUE)
+                        .build())
+                .agentLearnerConfiguration(AgentLearner.Configuration.builder()
+                        .maxEpisodeSteps(100)
+                        .build())
+                .agentLearnerListeners(listeners)
+                .build();
+        return new NStepQLearningBuilder(configuration, network, environmentBuilder, transformProcessBuilder, rnd);
+    }
+
+    private static Builder> setupAdvantageActorCritic(Builder> environmentBuilder,
+                                                                             Builder transformProcessBuilder,
+                                                                             List> listeners,
+                                                                             Random rnd) {
+        ITrainableNeuralNet network = buildActorCriticNetwork();
+
+        AdvantageActorCriticBuilder.Configuration configuration = AdvantageActorCriticBuilder.Configuration.builder()
+                .neuralNetUpdaterConfiguration(NeuralNetUpdaterConfiguration.builder()
+                        .build())
+                .advantageActorCriticConfiguration(AdvantageActorCritic.Configuration.builder()
+                        .gamma(0.99)
+                        .build())
+                .experienceHandlerConfiguration(StateActionExperienceHandler.Configuration.builder()
+                        .batchSize(Integer.MAX_VALUE)
+                        .build())
+                .agentLearnerConfiguration(AgentLearner.Configuration.builder()
+                        .maxEpisodeSteps(100)
+                        .build())
+                .agentLearnerListeners(listeners)
+                .build();
+        return new AdvantageActorCriticBuilder(configuration, network, environmentBuilder, transformProcessBuilder, rnd);
+    }
+
+    private static ComputationGraphConfiguration.GraphBuilder buildBaseNetworkConfiguration() {
+        return new NeuralNetConfiguration.Builder().seed(Constants.NEURAL_NET_SEED)
+                .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
+                .updater(new Adam())
+                .weightInit(WeightInit.XAVIER)
+                .graphBuilder()
+                .setInputTypes(InputType.feedForward(2), // tracker
+                               InputType.feedForward(4)) // radar )
+                .addInputs("tracker-in", "radar-in")
+
+                .layer("dl_1", new DenseLayer.Builder().activation(Activation.RELU).nOut(40).build(), "tracker-in", "radar-in")
+                .layer("dl_out", new DenseLayer.Builder().activation(Activation.RELU).nOut(40).build(), "dl_1");
+    }
+
+    private static ITrainableNeuralNet buildQNetwork() {
+        ComputationGraphConfiguration conf = buildBaseNetworkConfiguration()
+                .addLayer("output", new OutputLayer.Builder(LossFunctions.LossFunction.MSE).activation(Activation.IDENTITY)
+                        .nOut(RobotLake.NUM_ACTIONS).build(), "dl_out")
+
+                .setOutputs("output")
+                .build();
+
+        ComputationGraph model = new ComputationGraph(conf);
+        model.init();
+        return QNetwork.builder()
+                .withNetwork(model)
+                .inputBindings(INPUT_CHANNEL_BINDINGS)
+                .channelNames(TRANSFORM_PROCESS_OUTPUT_CHANNELS)
+                .build();
+    }
+
+    private static ITrainableNeuralNet buildActorCriticNetwork() {
+        ComputationGraphConfiguration conf = buildBaseNetworkConfiguration()
+                .addLayer("value", new OutputLayer.Builder(LossFunctions.LossFunction.MSE).activation(Activation.IDENTITY)
+                        .nOut(1).build(), "dl_out")
+                .addLayer("softmax", new OutputLayer.Builder(new ActorCriticLoss()).activation(Activation.SOFTMAX)
+                        .nOut(RobotLake.NUM_ACTIONS).build(), "dl_out")
+                .setOutputs("value", "softmax")
+                .build();
+
+        ComputationGraph model = new ComputationGraph(conf);
+        model.init();
+
+        return ActorCriticNetwork.builder()
+                .withCombinedNetwork(model)
+                .inputBindings(INPUT_CHANNEL_BINDINGS)
+                .channelNames(TRANSFORM_PROCESS_OUTPUT_CHANNELS)
+                .build();
+    }
+
+    private static class EpisodeScorePrinter implements AgentListener {
+        private final int trailingNum;
+        private final boolean[] results;
+        private int episodeCount;
+
+        public EpisodeScorePrinter(int trailingNum) {
+            this.trailingNum = trailingNum;
+            results = new boolean[trailingNum];
+        }
+        
+        @Override
+        public ListenerResponse onBeforeEpisode(Agent agent) {
+            return ListenerResponse.CONTINUE;
+        }
+
+        @Override
+        public ListenerResponse onBeforeStep(Agent agent, Observation observation, Integer integer) {
+            return ListenerResponse.CONTINUE;
+        }
+
+        @Override
+        public ListenerResponse onAfterStep(Agent agent, StepResult stepResult) {
+            return ListenerResponse.CONTINUE;
+        }
+
+        @Override
+        public void onAfterEpisode(Agent agent) {
+            RobotLake environment = (RobotLake)agent.getEnvironment();
+            boolean isSuccess = false;
+
+            String result;
+            if(environment.isGoalReached()) {
+                result = "GOAL REACHED ******";
+                isSuccess = true;
+            } else if(environment.isEpisodeFinished()) {
+                result = "FAILED";
+            } else {
+                result = "DID NOT FINISH";
+            }
+
+            results[episodeCount % trailingNum] = isSuccess;
+
+            if(episodeCount >= trailingNum) {
+                int successCount = 0;
+                for (int i = 0; i < trailingNum; ++i) {
+                    successCount += results[i] ? 1 : 0;
+                }
+                double successRatio = successCount / (double)trailingNum;
+
+                System.out.println(String.format("[%s] Episode %4d : score = %4.2f, success ratio = %4.2f, result = %s", agent.getId(), episodeCount, agent.getReward(), successRatio, result));
+            } else {
+                System.out.println(String.format("[%s] Episode %4d : score = %4.2f, result = %s", agent.getId(), episodeCount, agent.getReward(), result));
+            }
+
+
+            ++episodeCount;
+        }
+    }
+}
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/TMazeExample.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/TMazeExample.java
index aaa105b2b..617e436df 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/TMazeExample.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/TMazeExample.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j;
 
 import org.apache.commons.lang3.builder.Builder;
@@ -76,7 +96,7 @@ public class TMazeExample {
             }
         };
 
-        //Builder> builder = setupNStepQLearning(environmentBuilder, transformProcessBuilder, listeners, rnd, isAsync, numThreads);
+//        Builder> builder = setupNStepQLearning(environmentBuilder, transformProcessBuilder, listeners, rnd);
         Builder> builder = setupAdvantageActorCritic(environmentBuilder, transformProcessBuilder, listeners, rnd);
 
         ITrainer trainer;
@@ -97,7 +117,7 @@ public class TMazeExample {
         trainer.train();
         long after = System.nanoTime();
 
-        System.out.println(String.format("Total time for %d episodes: %fs", NUM_EPISODES, (after - before) / 1e6));
+        System.out.println(String.format("Total time for %d episodes: %fms", NUM_EPISODES, (after - before) / 1e6));
     }
 
     private static Builder> setupNStepQLearning(Builder> environmentBuilder,
@@ -180,7 +200,9 @@ public class TMazeExample {
 
         ComputationGraph model = new ComputationGraph(conf);
         model.init();
-        return new QNetwork(model);
+        return QNetwork.builder()
+                .withNetwork(model)
+                .build();
     }
 
     private static ITrainableNeuralNet buildActorCriticNetwork() {
@@ -195,7 +217,9 @@ public class TMazeExample {
         ComputationGraph model = new ComputationGraph(conf);
         model.init();
 
-        return new ActorCriticNetwork(model);
+        return ActorCriticNetwork.builder()
+                .withCombinedNetwork(model)
+                .build();
     }
 
     private static class EpisodeScorePrinter implements AgentListener {
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentLearnerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentLearnerTest.java
index 0d8a9c765..5a6c4c62c 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentLearnerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentLearnerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent;
 
 import org.deeplearning4j.rl4j.agent.learning.behavior.LearningBehavior;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentTest.java
index 263d47691..3c58f0a07 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/AgentTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent;
 
 import org.deeplearning4j.rl4j.agent.listener.AgentListener;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentActorCriticHelperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentActorCriticHelperTest.java
index 4d3de95c6..986c1d9e5 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentActorCriticHelperTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentActorCriticHelperTest.java
@@ -1,14 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
-import org.deeplearning4j.rl4j.observation.Observation;
 import org.junit.Test;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
-import java.util.ArrayList;
-import java.util.List;
-
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertEquals;
 
@@ -16,33 +31,6 @@ public class NonRecurrentActorCriticHelperTest {
 
     private final NonRecurrentActorCriticHelper sut = new NonRecurrentActorCriticHelper(3);
 
-    @Test
-    public void when_callingCreateFeatures_expect_INDArrayWithCorrectShape() {
-        // Arrange
-        List> experience = new ArrayList>() {
-            {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2)), 1, 2.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 3.1, 3.2 }).reshape(1, 2)), 2, 3.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 4.1, 4.2 }).reshape(1, 2)), 3, 4.0, false));
-            }
-        };
-
-        // Act
-        INDArray result = sut.createFeatures(experience);
-
-        // Assert
-        assertArrayEquals(new long[] { 4, 2 }, result.shape());
-        assertEquals(1.1, result.getDouble(0, 0), 0.00001);
-        assertEquals(1.2, result.getDouble(0, 1), 0.00001);
-        assertEquals(2.1, result.getDouble(1, 0), 0.00001);
-        assertEquals(2.2, result.getDouble(1, 1), 0.00001);
-        assertEquals(3.1, result.getDouble(2, 0), 0.00001);
-        assertEquals(3.2, result.getDouble(2, 1), 0.00001);
-        assertEquals(4.1, result.getDouble(3, 0), 0.00001);
-        assertEquals(4.2, result.getDouble(3, 1), 0.00001);
-    }
-
     @Test
     public void when_callingCreateValueLabels_expect_INDArrayWithCorrectShape() {
         // Arrange
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentAdvantageActorCriticTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentAdvantageActorCriticTest.java
index 615efeaab..766ad60e6 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentAdvantageActorCriticTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/NonRecurrentAdvantageActorCriticTest.java
@@ -1,8 +1,27 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic;
 
-import org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic.AdvantageActorCritic;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
@@ -54,9 +73,9 @@ public class NonRecurrentAdvantageActorCriticTest {
         int action = 0;
         final INDArray data = Nd4j.zeros(1, 2);
         final Observation observation = new Observation(data);
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, true));
+                add(new StateActionReward(observation, action, 0.0, true));
             }
         };
         when(threadCurrentMock.output(observation)).thenReturn(neuralNetOutputMock);
@@ -78,9 +97,9 @@ public class NonRecurrentAdvantageActorCriticTest {
         int action = 0;
         final INDArray data = Nd4j.zeros(1, 2);
         final Observation observation = new Observation(data);
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, false));
+                add(new StateActionReward(observation, action, 0.0, false));
             }
         };
         when(threadCurrentMock.output(observation)).thenReturn(neuralNetOutputMock);
@@ -106,10 +125,10 @@ public class NonRecurrentAdvantageActorCriticTest {
             result.put(CommonOutputNames.ActorCritic.Policy, invocation.getArgument(0, Observation.class).getData().mul(-0.1));
             return result;
         });
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2)), 1, 2.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2)), 1, 2.0, false));
             }
         };
 
@@ -121,7 +140,7 @@ public class NonRecurrentAdvantageActorCriticTest {
         verify(threadCurrentMock, times(1)).computeGradients(argument.capture());
 
         // input side -- should be a stack of observations
-        INDArray featuresValues = argument.getValue().getFeatures();
+        INDArray featuresValues = argument.getValue().getFeatures().get(0);
         assertEquals(-1.1, featuresValues.getDouble(0, 0), 0.00001);
         assertEquals(-1.2, featuresValues.getDouble(0, 1), 0.00001);
         assertEquals(-2.1, featuresValues.getDouble(1, 0), 0.00001);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentActorCriticHelperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentActorCriticHelperTest.java
index a598ccd76..ce6437b72 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentActorCriticHelperTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentActorCriticHelperTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic;
 
 import org.junit.Test;
@@ -11,18 +31,6 @@ public class RecurrentActorCriticHelperTest {
 
     private final RecurrentActorCriticHelper sut = new RecurrentActorCriticHelper(3);
 
-    @Test
-    public void when_callingCreateFeatureArray_expect_INDArrayWithCorrectShape() {
-        // Arrange
-        long[] observationShape = new long[] { 1, 2, 1 };
-
-        // Act
-        INDArray result = sut.createFeatureArray(4, observationShape);
-
-        // Assert
-        assertArrayEquals(new long[] { 1, 2, 4 }, result.shape());
-    }
-
     @Test
     public void when_callingCreateValueLabels_expect_INDArrayWithCorrectShape() {
         // Arrange
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentAdvantageActorCriticTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentAdvantageActorCriticTest.java
index 8f6f126d8..1773b76c3 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentAdvantageActorCriticTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/actorcritic/RecurrentAdvantageActorCriticTest.java
@@ -1,7 +1,27 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.actorcritic;
 
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
@@ -54,9 +74,9 @@ public class RecurrentAdvantageActorCriticTest {
         int action = 0;
         final INDArray data = Nd4j.zeros(1, 2, 1);
         final Observation observation = new Observation(data);
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, true));
+                add(new StateActionReward(observation, action, 0.0, true));
             }
         };
         when(threadCurrentMock.output(observation)).thenReturn(neuralNetOutputMock);
@@ -78,9 +98,9 @@ public class RecurrentAdvantageActorCriticTest {
         int action = 0;
         final INDArray data = Nd4j.zeros(1, 2, 1);
         final Observation observation = new Observation(data);
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, false));
+                add(new StateActionReward(observation, action, 0.0, false));
             }
         };
         when(threadCurrentMock.output(observation)).thenReturn(neuralNetOutputMock);
@@ -106,10 +126,10 @@ public class RecurrentAdvantageActorCriticTest {
             result.put(CommonOutputNames.ActorCritic.Policy, invocation.getArgument(0, Observation.class).getData().mul(-0.1));
             return result;
         });
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2, 1)), 1, 2.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2, 1)), 1, 2.0, false));
             }
         };
 
@@ -121,7 +141,7 @@ public class RecurrentAdvantageActorCriticTest {
         verify(threadCurrentMock, times(1)).computeGradients(argument.capture());
 
         // input side -- should be a stack of observations
-        INDArray featuresValues = argument.getValue().getFeatures();
+        INDArray featuresValues = argument.getValue().getFeatures().get(0);
         assertEquals(-1.1, featuresValues.getDouble(0, 0, 0), 0.00001);
         assertEquals(-1.2, featuresValues.getDouble(0, 1, 0), 0.00001);
         assertEquals(-2.1, featuresValues.getDouble(0, 0, 1), 0.00001);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQNTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQNTest.java
index 032569003..e9e496ca2 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQNTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/DoubleDQNTest.java
@@ -1,7 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.dqn;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
@@ -37,9 +58,9 @@ public class DoubleDQNTest {
 
     @Before
     public void setup() {
-        when(qNetworkMock.output(any(INDArray.class))).thenAnswer(i -> {
+        when(qNetworkMock.output(any(Features.class))).thenAnswer(i -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, i.getArgument(0, INDArray.class));
+            result.put(CommonOutputNames.QValues, i.getArgument(0, Features.class).get(0));
             return result;
         });
     }
@@ -48,13 +69,13 @@ public class DoubleDQNTest {
     public void when_isTerminal_expect_rewardValueAtIdx0() {
 
         // Assemble
-        when(targetQNetworkMock.output(any(INDArray.class))).thenAnswer(i -> {
+        when(targetQNetworkMock.output(any(Features.class))).thenAnswer(i -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, i.getArgument(0, INDArray.class));
+            result.put(CommonOutputNames.QValues, i.getArgument(0, Features.class).get(0));
             return result;
         });
 
-        List> transitions = new ArrayList>() {
+        List> stateActionRewardStates = new ArrayList>() {
             {
                 add(builtTransition(buildObservation(new double[]{1.1, 2.2}),
                         0, 1.0, true, buildObservation(new double[]{11.0, 22.0})));
@@ -64,7 +85,7 @@ public class DoubleDQNTest {
         org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.DoubleDQN sut = new org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.DoubleDQN(qNetworkMock, targetQNetworkMock, configuration);
 
         // Act
-        FeaturesLabels result = sut.compute(transitions);
+        FeaturesLabels result = sut.compute(stateActionRewardStates);
 
         // Assert
         INDArray evaluatedQValues = result.getLabels(CommonLabelNames.QValues);
@@ -76,23 +97,23 @@ public class DoubleDQNTest {
     public void when_isNotTerminal_expect_rewardPlusEstimatedQValue() {
 
         // Assemble
-        when(targetQNetworkMock.output(any(INDArray.class))).thenAnswer(i -> {
+        when(targetQNetworkMock.output(any(Features.class))).thenAnswer(i -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, i.getArgument(0, INDArray.class).mul(-1.0));
+            result.put(CommonOutputNames.QValues, i.getArgument(0, Features.class).get(0).mul(-1.0));
             return result;
         });
 
-        List> transitions = new ArrayList>() {
+        List> stateActionRewardStates = new ArrayList>() {
             {
                 add(builtTransition(buildObservation(new double[]{1.1, 2.2}),
                         0, 1.0, false, buildObservation(new double[]{11.0, 22.0})));
             }
         };
 
-        org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.DoubleDQN sut = new org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.DoubleDQN(qNetworkMock, targetQNetworkMock, configuration);
+        DoubleDQN sut = new DoubleDQN(qNetworkMock, targetQNetworkMock, configuration);
 
         // Act
-        FeaturesLabels result = sut.compute(transitions);
+        FeaturesLabels result = sut.compute(stateActionRewardStates);
 
         // Assert
         INDArray evaluatedQValues = result.getLabels(CommonLabelNames.QValues);
@@ -104,13 +125,13 @@ public class DoubleDQNTest {
     public void when_batchHasMoreThanOne_expect_everySampleEvaluated() {
 
         // Assemble
-        when(targetQNetworkMock.output(any(INDArray.class))).thenAnswer(i -> {
+        when(targetQNetworkMock.output(any(Features.class))).thenAnswer(i -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, i.getArgument(0, INDArray.class).mul(-1.0));
+            result.put(CommonOutputNames.QValues, i.getArgument(0, Features.class).get(0).mul(-1.0));
             return result;
         });
 
-        List> transitions = new ArrayList>() {
+        List> stateActionRewardStates = new ArrayList>() {
             {
                 add(builtTransition(buildObservation(new double[]{1.1, 2.2}),
                         0, 1.0, false, buildObservation(new double[]{11.0, 22.0})));
@@ -121,10 +142,10 @@ public class DoubleDQNTest {
             }
         };
 
-        org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.DoubleDQN sut = new DoubleDQN(qNetworkMock, targetQNetworkMock, configuration);
+        DoubleDQN sut = new DoubleDQN(qNetworkMock, targetQNetworkMock, configuration);
 
         // Act
-        FeaturesLabels result = sut.compute(transitions);
+        FeaturesLabels result = sut.compute(stateActionRewardStates);
 
         // Assert
         INDArray evaluatedQValues = result.getLabels(CommonLabelNames.QValues);
@@ -143,8 +164,8 @@ public class DoubleDQNTest {
         return new Observation(Nd4j.create(data).reshape(1, 2));
     }
 
-    private Transition builtTransition(Observation observation, Integer action, double reward, boolean isTerminal, Observation nextObservation) {
-        Transition result = new Transition(observation, action, reward, isTerminal);
+    private StateActionRewardState builtTransition(Observation observation, Integer action, double reward, boolean isTerminal, Observation nextObservation) {
+        StateActionRewardState result = new StateActionRewardState(observation, action, reward, isTerminal);
         result.setNextObservation(nextObservation);
 
         return result;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQNTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQNTest.java
index bc180ff87..68ad77948 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQNTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/dqn/StandardDQNTest.java
@@ -1,8 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.dqn;
 
-import org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.network.CommonLabelNames;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
@@ -38,14 +58,14 @@ public class StandardDQNTest {
 
     @Before
     public void setup() {
-        when(qNetworkMock.output(any(INDArray.class))).thenAnswer(i -> {
+        when(qNetworkMock.output(any(Features.class))).thenAnswer(i -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, i.getArgument(0, INDArray.class));
+            result.put(CommonOutputNames.QValues, i.getArgument(0, Features.class).get(0));
             return result;
         });
-        when(targetQNetworkMock.output(any(INDArray.class))).thenAnswer(i -> {
+        when(targetQNetworkMock.output(any(Features.class))).thenAnswer(i -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, i.getArgument(0, INDArray.class));
+            result.put(CommonOutputNames.QValues, i.getArgument(0, Features.class).get(0));
             return result;
         });
     }
@@ -55,17 +75,17 @@ public class StandardDQNTest {
     public void when_isTerminal_expect_rewardValueAtIdx0() {
 
         // Assemble
-        List> transitions = new ArrayList>() {
+        List> stateActionRewardStates = new ArrayList>() {
             {
                 add(buildTransition(buildObservation(new double[]{1.1, 2.2}),
                         0, 1.0, true, buildObservation(new double[]{11.0, 22.0})));
             }
         };
 
-        org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN sut = new org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN(qNetworkMock, targetQNetworkMock, configuration);
+        StandardDQN sut = new StandardDQN(qNetworkMock, targetQNetworkMock, configuration);
 
         // Act
-        FeaturesLabels result = sut.compute(transitions);
+        FeaturesLabels result = sut.compute(stateActionRewardStates);
 
         // Assert
         INDArray evaluatedQValues = result.getLabels(CommonLabelNames.QValues);
@@ -77,7 +97,7 @@ public class StandardDQNTest {
     public void when_isNotTerminal_expect_rewardPlusEstimatedQValue() {
 
         // Assemble
-        List> transitions = new ArrayList>() {
+        List> stateActionRewardStates = new ArrayList>() {
             {
                 add(buildTransition(buildObservation(new double[]{1.1, 2.2}),
                         0, 1.0, false, buildObservation(new double[]{11.0, 22.0})));
@@ -87,7 +107,7 @@ public class StandardDQNTest {
         org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN sut = new org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN(qNetworkMock, targetQNetworkMock, configuration);
 
         // Act
-        FeaturesLabels result = sut.compute(transitions);
+        FeaturesLabels result = sut.compute(stateActionRewardStates);
 
         // Assert
         INDArray evaluatedQValues = result.getLabels(CommonLabelNames.QValues);
@@ -99,7 +119,7 @@ public class StandardDQNTest {
     public void when_batchHasMoreThanOne_expect_everySampleEvaluated() {
 
         // Assemble
-        List> transitions = new ArrayList>() {
+        List> stateActionRewardStates = new ArrayList>() {
             {
                 add(buildTransition(buildObservation(new double[]{1.1, 2.2}),
                         0, 1.0, false, buildObservation(new double[]{11.0, 22.0})));
@@ -110,10 +130,10 @@ public class StandardDQNTest {
             }
         };
 
-        org.deeplearning4j.rl4j.agent.learning.algorithm.dqn.StandardDQN sut = new StandardDQN(qNetworkMock, targetQNetworkMock, configuration);
+        StandardDQN sut = new StandardDQN(qNetworkMock, targetQNetworkMock, configuration);
 
         // Act
-        FeaturesLabels result = sut.compute(transitions);
+        FeaturesLabels result = sut.compute(stateActionRewardStates);
 
         // Assert
         INDArray evaluatedQValues = result.getLabels(CommonLabelNames.QValues);
@@ -132,8 +152,8 @@ public class StandardDQNTest {
         return new Observation(Nd4j.create(data).reshape(1, 2));
     }
 
-    private Transition buildTransition(Observation observation, Integer action, double reward, boolean isTerminal, Observation nextObservation) {
-        Transition result = new Transition(observation, action, reward, isTerminal);
+    private StateActionRewardState buildTransition(Observation observation, Integer action, double reward, boolean isTerminal, Observation nextObservation) {
+        StateActionRewardState result = new StateActionRewardState(observation, action, reward, isTerminal);
         result.setNextObservation(nextObservation);
 
         return result;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelperTest.java
index 45d4f2d21..09693e4c8 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelperTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningHelperTest.java
@@ -1,14 +1,32 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
-import org.deeplearning4j.rl4j.network.NeuralNet;
 import org.deeplearning4j.rl4j.network.NeuralNetOutput;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.junit.Test;
 import org.mockito.ArgumentCaptor;
-import org.mockito.Mock;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
@@ -22,33 +40,6 @@ public class NonRecurrentNStepQLearningHelperTest {
 
     private final NonRecurrentNStepQLearningHelper sut = new NonRecurrentNStepQLearningHelper(3);
 
-    @Test
-    public void when_callingCreateFeatures_expect_INDArrayWithCorrectShape() {
-        // Arrange
-        List> experience = new ArrayList>() {
-            {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2)), 1, 2.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 3.1, 3.2 }).reshape(1, 2)), 2, 3.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 4.1, 4.2 }).reshape(1, 2)), 3, 4.0, false));
-            }
-        };
-
-        // Act
-        INDArray result = sut.createFeatures(experience);
-
-        // Assert
-        assertArrayEquals(new long[] { 4, 2 }, result.shape());
-        assertEquals(1.1, result.getDouble(0, 0), 0.00001);
-        assertEquals(1.2, result.getDouble(0, 1), 0.00001);
-        assertEquals(2.1, result.getDouble(1, 0), 0.00001);
-        assertEquals(2.2, result.getDouble(1, 1), 0.00001);
-        assertEquals(3.1, result.getDouble(2, 0), 0.00001);
-        assertEquals(3.2, result.getDouble(2, 1), 0.00001);
-        assertEquals(4.1, result.getDouble(3, 0), 0.00001);
-        assertEquals(4.2, result.getDouble(3, 1), 0.00001);
-    }
-
     @Test
     public void when_callingCreateValueLabels_expect_INDArrayWithCorrectShape() {
         // Arrange
@@ -93,12 +84,12 @@ public class NonRecurrentNStepQLearningHelperTest {
     public void when_callingGetTargetExpectedQValuesOfLast_expect_INDArrayWithCorrectShape() {
         // Arrange
         IOutputNeuralNet targetMock = mock(IOutputNeuralNet.class);
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2)), 1, 2.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 3.1, 3.2 }).reshape(1, 2)), 2, 3.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 4.1, 4.2 }).reshape(1, 2)), 3, 4.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2)), 1, 2.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { 3.1, 3.2 }).reshape(1, 2)), 2, 3.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { 4.1, 4.2 }).reshape(1, 2)), 3, 4.0, false));
             }
         };
         final NeuralNetOutput neuralNetOutput = new NeuralNetOutput();
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningTest.java
index 1efbdc3d7..3f928b1fd 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/NonRecurrentNStepQLearningTest.java
@@ -1,9 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
-import org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning.NStepQLearning;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.*;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.junit.Test;
@@ -34,11 +53,12 @@ public class NonRecurrentNStepQLearningTest {
     NStepQLearning sut;
 
     private void setup(double gamma) {
-        when(threadCurrentMock.output(any(INDArray.class))).thenAnswer(invocation -> {
+        when(threadCurrentMock.output(any(Observation.class))).thenAnswer(invocation -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, invocation.getArgument(0, INDArray.class).mul(-1.0));
+            result.put(CommonOutputNames.QValues, invocation.getArgument(0, Observation.class).getChannelData(0).mul(-1.0));
             return result;
         });
+
         when(targetMock.output(any(Observation.class))).thenAnswer(invocation -> {
             NeuralNetOutput result = new NeuralNetOutput();
             result.put(CommonOutputNames.QValues, invocation.getArgument(0, Observation.class).getData().mul(-2.0));
@@ -59,9 +79,9 @@ public class NonRecurrentNStepQLearningTest {
         setup(1.0);
 
         final Observation observation = new Observation(Nd4j.zeros(1, 2));
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, true));
+                add(new StateActionReward(observation, action, 0.0, true));
             }
         };
 
@@ -83,9 +103,9 @@ public class NonRecurrentNStepQLearningTest {
         setup(1.0);
 
         final Observation observation = new Observation(Nd4j.create(new double[] { -123.0, -234.0 }).reshape(1, 2));
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, false));
+                add(new StateActionReward(observation, action, 0.0, false));
             }
         };
 
@@ -106,10 +126,10 @@ public class NonRecurrentNStepQLearningTest {
         double gamma = 0.9;
         setup(gamma);
 
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2)), 1, 2.0, true));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2)), 1, 2.0, true));
             }
         };
 
@@ -121,7 +141,7 @@ public class NonRecurrentNStepQLearningTest {
         verify(threadCurrentMock, times(1)).computeGradients(argument.capture());
 
         // input side -- should be a stack of observations
-        INDArray featuresValues = argument.getValue().getFeatures();
+        INDArray featuresValues = argument.getValue().getFeatures().get(0);
         assertEquals(-1.1, featuresValues.getDouble(0, 0), 0.00001);
         assertEquals(-1.2, featuresValues.getDouble(0, 1), 0.00001);
         assertEquals(-2.1, featuresValues.getDouble(1, 0), 0.00001);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelperTest.java
index f27a3807d..b53836679 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelperTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningHelperTest.java
@@ -1,6 +1,27 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
 import org.deeplearning4j.rl4j.network.IOutputNeuralNet;
 import org.deeplearning4j.rl4j.network.NeuralNetOutput;
@@ -21,33 +42,6 @@ public class RecurrentNStepQLearningHelperTest {
 
     private final RecurrentNStepQLearningHelper sut = new RecurrentNStepQLearningHelper(3);
 
-    @Test
-    public void when_callingCreateFeatures_expect_INDArrayWithCorrectShape() {
-        // Arrange
-        List> experience = new ArrayList>() {
-            {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2, 1)), 1, 2.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 3.1, 3.2 }).reshape(1, 2, 1)), 2, 3.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 4.1, 4.2 }).reshape(1, 2, 1)), 3, 4.0, false));
-            }
-        };
-
-        // Act
-        INDArray result = sut.createFeatures(experience);
-
-        // Assert
-        assertArrayEquals(new long[] { 1, 2, 4 }, result.shape());
-        assertEquals(1.1, result.getDouble(0, 0, 0), 0.00001);
-        assertEquals(1.2, result.getDouble(0, 1, 0), 0.00001);
-        assertEquals(2.1, result.getDouble(0, 0, 1), 0.00001);
-        assertEquals(2.2, result.getDouble(0, 1, 1), 0.00001);
-        assertEquals(3.1, result.getDouble(0, 0, 2), 0.00001);
-        assertEquals(3.2, result.getDouble(0, 1, 2), 0.00001);
-        assertEquals(4.1, result.getDouble(0, 0, 3), 0.00001);
-        assertEquals(4.2, result.getDouble(0, 1, 3), 0.00001);
-    }
-
     @Test
     public void when_callingCreateValueLabels_expect_INDArrayWithCorrectShape() {
         // Arrange
@@ -91,26 +85,27 @@ public class RecurrentNStepQLearningHelperTest {
     @Test
     public void when_callingGetTargetExpectedQValuesOfLast_expect_INDArrayWithCorrectShape() {
         // Arrange
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2, 1)), 1, 2.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { 1.1, 1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { 2.1, 2.2 }).reshape(1, 2, 1)), 1, 2.0, false));
             }
         };
-        INDArray features = Nd4j.create(new double[] { 1.0, 2.0, 3.0, 4.0 }).reshape(1, 2, 2);
+        INDArray featuresData = Nd4j.create(new double[] { 1.0, 2.0, 3.0, 4.0 }).reshape(1, 2, 2);
+        Features features = new Features(new INDArray[] { featuresData });
         IOutputNeuralNet targetMock = mock(IOutputNeuralNet.class);
 
         final NeuralNetOutput neuralNetOutput = new NeuralNetOutput();
         neuralNetOutput.put(CommonOutputNames.QValues, Nd4j.create(new double[] { -4.1, -4.2 }).reshape(1, 1, 2));
-        when(targetMock.output(any(INDArray.class))).thenReturn(neuralNetOutput);
+        when(targetMock.output(any(Features.class))).thenReturn(neuralNetOutput);
 
         // Act
         INDArray result = sut.getTargetExpectedQValuesOfLast(targetMock, experience, features);
 
         // Assert
-        ArgumentCaptor arrayCaptor = ArgumentCaptor.forClass(INDArray.class);
-        verify(targetMock, times(1)).output(arrayCaptor.capture());
-        INDArray array = arrayCaptor.getValue();
+        ArgumentCaptor captor = ArgumentCaptor.forClass(Features.class);
+        verify(targetMock, times(1)).output(captor.capture());
+        INDArray array = captor.getValue().get(0);
         assertEquals(1.0, array.getDouble(0, 0, 0), 0.00001);
         assertEquals(2.0, array.getDouble(0, 0, 1), 0.00001);
         assertEquals(3.0, array.getDouble(0, 1, 0), 0.00001);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningTest.java
index 3810e0ac3..e27c25ecb 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/algorithm/nstepqlearning/RecurrentNStepQLearningTest.java
@@ -1,8 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.algorithm.nstepqlearning;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.network.*;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.junit.Test;
@@ -33,14 +54,14 @@ public class RecurrentNStepQLearningTest {
     NStepQLearning sut;
 
     private void setup(double gamma) {
-        when(threadCurrentMock.output(any(INDArray.class))).thenAnswer(invocation -> {
+        when(threadCurrentMock.output(any(Observation.class))).thenAnswer(invocation -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, invocation.getArgument(0, INDArray.class).mul(-1.0));
+            result.put(CommonOutputNames.QValues, invocation.getArgument(0, Observation.class).getChannelData(0).mul(-1.0));
             return result;
         });
-        when(targetMock.output(any(INDArray.class))).thenAnswer(invocation -> {
+        when(targetMock.output(any(Features.class))).thenAnswer(invocation -> {
             NeuralNetOutput result = new NeuralNetOutput();
-            result.put(CommonOutputNames.QValues, invocation.getArgument(0, INDArray.class).mul(-2.0));
+            result.put(CommonOutputNames.QValues, invocation.getArgument(0, Features.class).get(0).mul(-2.0));
             return result;
         });
         when(threadCurrentMock.isRecurrent()).thenReturn(true);
@@ -58,9 +79,9 @@ public class RecurrentNStepQLearningTest {
         setup(1.0);
 
         final Observation observation = new Observation(Nd4j.zeros(1, 2, 1));
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, true));
+                add(new StateActionReward(observation, action, 0.0, true));
             }
         };
 
@@ -82,9 +103,9 @@ public class RecurrentNStepQLearningTest {
         setup(1.0);
 
         final Observation observation = new Observation(Nd4j.create(new double[] { -123.0, -234.0 }).reshape(1, 2, 1));
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, action, 0.0, false));
+                add(new StateActionReward(observation, action, 0.0, false));
             }
         };
 
@@ -105,10 +126,10 @@ public class RecurrentNStepQLearningTest {
         double gamma = 0.9;
         setup(gamma);
 
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2, 1)), 1, 2.0, true));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2, 1)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2, 1)), 1, 2.0, true));
             }
         };
 
@@ -120,7 +141,7 @@ public class RecurrentNStepQLearningTest {
         verify(threadCurrentMock, times(1)).computeGradients(argument.capture());
 
         // input side -- should be a stack of observations
-        INDArray featuresValues = argument.getValue().getFeatures();
+        INDArray featuresValues = argument.getValue().getFeatures().get(0);
         assertEquals(-1.1, featuresValues.getDouble(0, 0, 0), 0.00001);
         assertEquals(-1.2, featuresValues.getDouble(0, 1, 0), 0.00001);
         assertEquals(-2.1, featuresValues.getDouble(0, 0, 1), 0.00001);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehaviorTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehaviorTest.java
index 9170da711..37551c2bc 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehaviorTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/behavior/LearningBehaviorTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.behavior;
 
 import org.deeplearning4j.rl4j.agent.learning.behavior.LearningBehavior;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesBuilderTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesBuilderTest.java
new file mode 100644
index 000000000..2dc36ab9c
--- /dev/null
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesBuilderTest.java
@@ -0,0 +1,190 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j.agent.learning.update;
+
+import org.deeplearning4j.rl4j.experience.StateActionReward;
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
+import org.deeplearning4j.rl4j.observation.IObservationSource;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.mockito.junit.MockitoJUnitRunner;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import static org.junit.Assert.assertArrayEquals;
+import static org.junit.Assert.assertEquals;
+
+@RunWith(MockitoJUnitRunner.class)
+public class FeaturesBuilderTest {
+
+    @Test
+    public void when_creatingFeaturesWithObservationSourceAndNonRecurrent_expect_correctlyShapedFeatures() {
+        // Arrange
+        List trainingBatch = new ArrayList();
+        Observation observation1 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 1.0 }).reshape(1, 1),
+                Nd4j.create(new double[] { 2.0, 3.0 }).reshape(1, 2),
+        });
+        trainingBatch.add(new StateActionReward(observation1, 0, 0.0, false));
+        Observation observation2 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 4.0 }).reshape(1, 1),
+                Nd4j.create(new double[] { 5.0, 6.0 }).reshape(1, 2),
+        });
+        trainingBatch.add(new StateActionReward(observation2, 0, 0.0, false));
+        FeaturesBuilder sut = new FeaturesBuilder(false);
+
+        // Act
+        Features result = sut.build(trainingBatch);
+
+        // Assert
+        assertEquals(2, result.getBatchSize());
+        assertEquals(1.0, result.get(0).getDouble(0, 0), 0.00001);
+        assertEquals(4.0, result.get(0).getDouble(1, 0), 0.00001);
+
+        assertEquals(2.0, result.get(1).getDouble(0, 0), 0.00001);
+        assertEquals(3.0, result.get(1).getDouble(0, 1), 0.00001);
+        assertEquals(5.0, result.get(1).getDouble(1, 0), 0.00001);
+        assertEquals(6.0, result.get(1).getDouble(1, 1), 0.00001);
+    }
+
+    @Test
+    public void when_creatingFeaturesWithStreamAndNonRecurrent_expect_correctlyShapedFeatures() {
+        // Arrange
+        List> trainingBatch = new ArrayList>();
+        Observation observation1 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 1.0 }).reshape(1, 1),
+                Nd4j.create(new double[] { 2.0, 3.0 }).reshape(1, 2),
+        });
+        StateActionRewardState stateActionRewardState1 = new StateActionRewardState(null, 0, 0.0, false);
+        stateActionRewardState1.setNextObservation(observation1);
+        trainingBatch.add(stateActionRewardState1);
+        Observation observation2 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 4.0 }).reshape(1, 1),
+                Nd4j.create(new double[] { 5.0, 6.0 }).reshape(1, 2),
+        });
+        StateActionRewardState stateActionRewardState2 = new StateActionRewardState(null, 0, 0.0, false);
+        stateActionRewardState2.setNextObservation(observation2);
+        trainingBatch.add(stateActionRewardState2);
+
+        FeaturesBuilder sut = new FeaturesBuilder(false);
+
+        // Act
+        Features result = sut.build(trainingBatch.stream().map(e -> e.getNextObservation()), trainingBatch.size());
+
+        // Assert
+        assertEquals(2, result.getBatchSize());
+        assertEquals(1.0, result.get(0).getDouble(0, 0), 0.00001);
+        assertEquals(4.0, result.get(0).getDouble(1, 0), 0.00001);
+
+        assertEquals(2.0, result.get(1).getDouble(0, 0), 0.00001);
+        assertEquals(3.0, result.get(1).getDouble(0, 1), 0.00001);
+        assertEquals(5.0, result.get(1).getDouble(1, 0), 0.00001);
+        assertEquals(6.0, result.get(1).getDouble(1, 1), 0.00001);
+    }
+
+    @Test
+    public void when_creatingFeaturesWithObservationSourceAndRecurrent_expect_correctlyShapedFeatures() {
+        // Arrange
+        List trainingBatch = new ArrayList();
+        Observation observation1 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 1.0, 2.0 }).reshape(1, 2, 1),
+                Nd4j.create(new double[] { 3.0, 4.0, 5.0, 6.0 }).reshape(1, 2, 2, 1),
+        });
+        trainingBatch.add(new StateActionReward(observation1, 0, 0.0, false));
+        Observation observation2 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 7.0, 8.0 }).reshape(1, 2, 1),
+                Nd4j.create(new double[] { 9.0, 10.0, 11.0, 12.0 }).reshape(1, 2, 2, 1),
+        });
+        trainingBatch.add(new StateActionReward(observation2, 0, 0.0, false));
+
+        FeaturesBuilder sut = new FeaturesBuilder(true);
+
+        // Act
+        Features result = sut.build(trainingBatch);
+
+        // Assert
+        assertEquals(1, result.getBatchSize()); // With recurrent, batch size is always 1; examples are stacked on the time-serie dimension
+        assertArrayEquals(new long[] { 1, 2, 2 }, result.get(0).shape());
+        assertEquals(1.0, result.get(0).getDouble(0, 0, 0), 0.00001);
+        assertEquals(7.0, result.get(0).getDouble(0, 0, 1), 0.00001);
+        assertEquals(2.0, result.get(0).getDouble(0, 1, 0), 0.00001);
+        assertEquals(8.0, result.get(0).getDouble(0, 1, 1), 0.00001);
+
+        assertArrayEquals(new long[] { 1, 2, 2, 2 }, result.get(1).shape());
+        assertEquals(3.0, result.get(1).getDouble(0, 0, 0, 0), 0.00001);
+        assertEquals(9.0, result.get(1).getDouble(0, 0, 0, 1), 0.00001);
+        assertEquals(4.0, result.get(1).getDouble(0, 0, 1, 0), 0.00001);
+        assertEquals(10.0, result.get(1).getDouble(0, 0, 1, 1), 0.00001);
+
+        assertEquals(5.0, result.get(1).getDouble(0, 1, 0, 0), 0.00001);
+        assertEquals(11.0, result.get(1).getDouble(0, 1, 0, 1), 0.00001);
+        assertEquals(6.0, result.get(1).getDouble(0, 1, 1, 0), 0.00001);
+        assertEquals(12.0, result.get(1).getDouble(0, 1, 1, 1), 0.00001);
+    }
+
+    @Test
+    public void when_creatingFeaturesWithStreamAndRecurrent_expect_correctlyShapedFeatures() {
+        // Arrange
+        List> trainingBatch = new ArrayList>();
+        Observation observation1 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 1.0, 2.0 }).reshape(1, 2, 1),
+                Nd4j.create(new double[] { 3.0, 4.0, 5.0, 6.0 }).reshape(1, 2, 2, 1),
+        });
+        StateActionRewardState stateActionRewardState1 = new StateActionRewardState(null, 0, 0.0, false);
+        stateActionRewardState1.setNextObservation(observation1);
+        trainingBatch.add(stateActionRewardState1);
+        Observation observation2 = new Observation(new INDArray[] {
+                Nd4j.create(new double[] { 7.0, 8.0 }).reshape(1, 2, 1),
+                Nd4j.create(new double[] { 9.0, 10.0, 11.0, 12.0 }).reshape(1, 2, 2, 1),
+        });
+        StateActionRewardState stateActionRewardState2 = new StateActionRewardState(null, 0, 0.0, false);
+        stateActionRewardState2.setNextObservation(observation2);
+        trainingBatch.add(stateActionRewardState2);
+
+        FeaturesBuilder sut = new FeaturesBuilder(true);
+
+        // Act
+        Features result = sut.build(trainingBatch.stream().map(e -> e.getNextObservation()), trainingBatch.size());
+
+        // Assert
+        assertEquals(1, result.getBatchSize()); // With recurrent, batch size is always 1; examples are stacked on the time-serie dimension
+        assertArrayEquals(new long[] { 1, 2, 2 }, result.get(0).shape());
+        assertEquals(1.0, result.get(0).getDouble(0, 0, 0), 0.00001);
+        assertEquals(7.0, result.get(0).getDouble(0, 0, 1), 0.00001);
+        assertEquals(2.0, result.get(0).getDouble(0, 1, 0), 0.00001);
+        assertEquals(8.0, result.get(0).getDouble(0, 1, 1), 0.00001);
+
+        assertArrayEquals(new long[] { 1, 2, 2, 2 }, result.get(1).shape());
+        assertEquals(3.0, result.get(1).getDouble(0, 0, 0, 0), 0.00001);
+        assertEquals(9.0, result.get(1).getDouble(0, 0, 0, 1), 0.00001);
+        assertEquals(4.0, result.get(1).getDouble(0, 0, 1, 0), 0.00001);
+        assertEquals(10.0, result.get(1).getDouble(0, 0, 1, 1), 0.00001);
+
+        assertEquals(5.0, result.get(1).getDouble(0, 1, 0, 0), 0.00001);
+        assertEquals(11.0, result.get(1).getDouble(0, 1, 0, 1), 0.00001);
+        assertEquals(6.0, result.get(1).getDouble(0, 1, 1, 0), 0.00001);
+        assertEquals(12.0, result.get(1).getDouble(0, 1, 1, 1), 0.00001);
+    }
+}
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabelsTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabelsTest.java
index 952bffe1c..4c1ea7211 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabelsTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesLabelsTest.java
@@ -1,17 +1,43 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.mockito.junit.MockitoJUnitRunner;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.when;
 
+@RunWith(MockitoJUnitRunner.class)
 public class FeaturesLabelsTest {
 
     @Test
     public void when_getBatchSizeIsCalled_expect_batchSizeIsReturned() {
         // Arrange
-        INDArray features = Nd4j.create(5, 10);
+        Features features = mock(Features.class);
+        when(features.getBatchSize()).thenReturn(5L);
         FeaturesLabels sut = new FeaturesLabels(features);
 
         // Act
@@ -24,9 +50,8 @@ public class FeaturesLabelsTest {
     @Test
     public void when_puttingLabels_expect_getLabelReturnsLabels() {
         // Arrange
-        INDArray features = Nd4j.create(5, 10);
         INDArray labels = Nd4j.rand(2, 3);
-        FeaturesLabels sut = new FeaturesLabels(features);
+        FeaturesLabels sut = new FeaturesLabels(null);
         sut.putLabels("test", labels);
 
         // Act
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesTest.java
new file mode 100644
index 000000000..bc020a39c
--- /dev/null
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/FeaturesTest.java
@@ -0,0 +1,58 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j.agent.learning.update;
+
+import org.junit.Test;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertSame;
+
+public class FeaturesTest {
+
+    @Test
+    public void when_creatingFeatureWithBatchSize10_expectGetBatchSizeReturn10() {
+        // Arrange
+        INDArray[] featuresData = new INDArray[] {Nd4j.rand(10, 1)};
+
+        // Act
+        Features sut = new Features(featuresData);
+
+        // Assert
+        assertEquals(10, sut.getBatchSize());
+    }
+
+    @Test
+    public void when_callingGetWithAChannelIndex_expectGetReturnsThatChannelData() {
+        // Arrange
+        INDArray channel0Data = Nd4j.rand(10, 1);
+        INDArray channel1Data = Nd4j.rand(10, 1);
+        INDArray[] featuresData = new INDArray[] { channel0Data, channel1Data };
+
+        // Act
+        Features sut = new Features(featuresData);
+
+        // Assert
+        assertSame(channel1Data, sut.get(1));
+    }
+
+}
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/GradientsTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/GradientsTest.java
index fd319fdda..c741d4a3f 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/GradientsTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/GradientsTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import org.deeplearning4j.nn.gradient.Gradient;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRuleTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRuleTest.java
index edf454825..d91d1e51a 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRuleTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/UpdateRuleTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update;
 
 import org.deeplearning4j.rl4j.agent.learning.algorithm.IUpdateAlgorithm;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdaterTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdaterTest.java
index 5da0788cc..2d80aa9eb 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdaterTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncGradientsNeuralNetUpdaterTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdaterTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdaterTest.java
index 026edc68a..ac1da9461 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdaterTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncLabelsNeuralNetUpdaterTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandlerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandlerTest.java
index 57235c3f7..575b89e33 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandlerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/async/AsyncSharedNetworksUpdateHandlerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update.updater.async;
 
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdaterTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdaterTest.java
index e701d3023..35d8564b0 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdaterTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncGradientsNeuralNetUpdaterTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update.updater.sync;
 
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdaterTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdaterTest.java
index b0b34dd22..4578ea01b 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdaterTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/agent/learning/update/updater/sync/SyncLabelsNeuralNetUpdaterTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.agent.learning.update.updater.sync;
 
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilderTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilderTest.java
index 6de4daf3f..73a958f88 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilderTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/builder/BaseAgentLearnerBuilderTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.builder;
 
 import org.apache.commons.lang3.builder.Builder;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandlerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandlerTest.java
index 44c2960d2..c737ce8f0 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandlerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/ReplayMemoryExperienceHandlerTest.java
@@ -1,7 +1,26 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.experience;
 
 import org.deeplearning4j.rl4j.learning.sync.IExpReplay;
-import org.deeplearning4j.rl4j.learning.sync.Transition;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.junit.Test;
 import org.junit.runner.RunWith;
@@ -57,19 +76,19 @@ public class ReplayMemoryExperienceHandlerTest {
         sut.setFinalObservation(new Observation(Nd4j.create(new double[] { 3.0 })));
 
         // Assert
-        ArgumentCaptor> argument = ArgumentCaptor.forClass(Transition.class);
+        ArgumentCaptor> argument = ArgumentCaptor.forClass(StateActionRewardState.class);
         verify(expReplayMock, times(2)).store(argument.capture());
-        List> transitions = argument.getAllValues();
+        List> stateActionRewardStates = argument.getAllValues();
 
-        assertEquals(1.0, transitions.get(0).getObservation().getData().getDouble(0), 0.00001);
-        assertEquals(1, (int)transitions.get(0).getAction());
-        assertEquals(1.0, transitions.get(0).getReward(), 0.00001);
-        assertEquals(2.0, transitions.get(0).getNextObservation().getDouble(0), 0.00001);
+        assertEquals(1.0, stateActionRewardStates.get(0).getObservation().getData().getDouble(0), 0.00001);
+        assertEquals(1, (int) stateActionRewardStates.get(0).getAction());
+        assertEquals(1.0, stateActionRewardStates.get(0).getReward(), 0.00001);
+        assertEquals(2.0, stateActionRewardStates.get(0).getNextObservation().getChannelData(0).getDouble(0), 0.00001);
 
-        assertEquals(2.0, transitions.get(1).getObservation().getData().getDouble(0), 0.00001);
-        assertEquals(2, (int)transitions.get(1).getAction());
-        assertEquals(2.0, transitions.get(1).getReward(), 0.00001);
-        assertEquals(3.0, transitions.get(1).getNextObservation().getDouble(0), 0.00001);
+        assertEquals(2.0, stateActionRewardStates.get(1).getObservation().getData().getDouble(0), 0.00001);
+        assertEquals(2, (int) stateActionRewardStates.get(1).getAction());
+        assertEquals(2.0, stateActionRewardStates.get(1).getReward(), 0.00001);
+        assertEquals(3.0, stateActionRewardStates.get(1).getNextObservation().getChannelData(0).getDouble(0), 0.00001);
 
     }
 
@@ -84,11 +103,11 @@ public class ReplayMemoryExperienceHandlerTest {
         sut.addExperience(new Observation(Nd4j.create(new double[] { 3.0 })), 3, 3.0, false);
 
         // Assert
-        ArgumentCaptor> argument = ArgumentCaptor.forClass(Transition.class);
+        ArgumentCaptor> argument = ArgumentCaptor.forClass(StateActionRewardState.class);
         verify(expReplayMock, times(1)).store(argument.capture());
-        Transition transition = argument.getValue();
+        StateActionRewardState stateActionRewardState = argument.getValue();
 
-        assertEquals(1, (int)transition.getAction());
+        assertEquals(1, (int) stateActionRewardState.getAction());
     }
 
     @Test
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandlerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandlerTest.java
index eac85ad7f..46350a8fe 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandlerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/experience/StateActionExperienceHandlerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.experience;
 
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -25,7 +45,7 @@ public class StateActionExperienceHandlerTest {
         sut.addExperience(observation, 123, 234.0, true);
 
         // Act
-        List> result = sut.generateTrainingBatch();
+        List> result = sut.generateTrainingBatch();
 
         // Assert
         assertEquals(1, result.size());
@@ -45,7 +65,7 @@ public class StateActionExperienceHandlerTest {
         sut.addExperience(null, 3, 3.0, false);
 
         // Act
-        List> result = sut.generateTrainingBatch();
+        List> result = sut.generateTrainingBatch();
 
         // Assert
         assertEquals(3, result.size());
@@ -62,8 +82,8 @@ public class StateActionExperienceHandlerTest {
         sut.addExperience(null, 1, 1.0, false);
 
         // Act
-        List> firstResult = sut.generateTrainingBatch();
-        List> secondResult = sut.generateTrainingBatch();
+        List> firstResult = sut.generateTrainingBatch();
+        List> secondResult = sut.generateTrainingBatch();
 
         // Assert
         assertEquals(1, firstResult.size());
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/helper/INDArrayHelperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/helper/INDArrayHelperTest.java
index a8fbad8e1..5b1bd75a3 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/helper/INDArrayHelperTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/helper/INDArrayHelperTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.helper;
 
 import org.junit.Test;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/HistoryProcessorTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/HistoryProcessorTest.java
index 8718d252d..2c5753caa 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/HistoryProcessorTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/HistoryProcessorTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncLearningTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncLearningTest.java
index 6cdeea317..a2acb32fd 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncLearningTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncLearningTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscreteTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscreteTest.java
index de9778a80..f550cd940 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscreteTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadDiscreteTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K. K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
@@ -207,7 +211,7 @@ public class AsyncThreadDiscreteTest {
 
             boolean isSkipped = stepCount.incrementAndGet() % skipFrames != 0;
 
-            Observation mockObs = new Observation(isSkipped ? null : Nd4j.create(observationShape));
+            Observation mockObs = isSkipped ? Observation.SkippedObservation : new Observation(Nd4j.create(observationShape));
             return new StepReply<>(mockObs, 0.0, false, null);
         });
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadTest.java
index 5b6afbc28..514578c49 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/AsyncThreadTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithmTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithmTest.java
index 131dbce63..a8e180599 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithmTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/a3c/discrete/AdvantageActorCriticUpdateAlgorithmTest.java
@@ -1,22 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.a3c.discrete;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.learning.async.AsyncGlobal;
 import org.deeplearning4j.rl4j.network.NeuralNet;
 import org.deeplearning4j.rl4j.network.ac.IActorCritic;
@@ -64,9 +68,9 @@ public class AdvantageActorCriticUpdateAlgorithmTest {
         int[] actions = new int[]{0, 1, 2, 1};
         double[] rewards = new double[]{0.1, 1.0, 10.0, 100.0};
 
-        List> experience = new ArrayList>();
+        List> experience = new ArrayList>();
         for (int i = 0; i < originalObservations.length; ++i) {
-            experience.add(new StateActionPair<>(new Observation(originalObservations[i]), actions[i], rewards[i], false));
+            experience.add(new StateActionReward<>(new Observation(originalObservations[i]), actions[i], rewards[i], false));
         }
 
         when(mockActorCritic.outputAll(any(INDArray.class))).thenAnswer(invocation -> {
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/listener/AsyncTrainingListenerListTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/listener/AsyncTrainingListenerListTest.java
index d73a2a9f7..b3b354d2f 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/listener/AsyncTrainingListenerListTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/listener/AsyncTrainingListenerListTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.listener;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithmTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithmTest.java
index 77de513b3..937c70a52 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithmTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/async/nstep/discrete/QLearningUpdateAlgorithmTest.java
@@ -1,22 +1,26 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.async.nstep.discrete;
 
-import org.deeplearning4j.rl4j.experience.StateActionPair;
+import org.deeplearning4j.rl4j.experience.StateActionReward;
 import org.deeplearning4j.rl4j.learning.async.AsyncGlobal;
 import org.deeplearning4j.rl4j.learning.async.UpdateAlgorithm;
 import org.deeplearning4j.rl4j.network.dqn.IDQN;
@@ -61,9 +65,9 @@ public class QLearningUpdateAlgorithmTest {
         setup(1.0);
 
         final Observation observation = new Observation(Nd4j.zeros(1, 2));
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, 0, 0.0, true));
+                add(new StateActionReward(observation, 0, 0.0, true));
             }
         };
 
@@ -80,9 +84,9 @@ public class QLearningUpdateAlgorithmTest {
         setup(1.0);
 
         final Observation observation = new Observation(Nd4j.create(new double[] { -123.0, -234.0 }).reshape(1, 2));
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(observation, 0, 0.0, false));
+                add(new StateActionReward(observation, 0, 0.0, false));
             }
         };
 
@@ -106,10 +110,10 @@ public class QLearningUpdateAlgorithmTest {
         double gamma = 0.9;
         setup(gamma);
 
-        List> experience = new ArrayList>() {
+        List> experience = new ArrayList>() {
             {
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2)), 0, 1.0, false));
-                add(new StateActionPair(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2)), 1, 2.0, true));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -1.1, -1.2 }).reshape(1, 2)), 0, 1.0, false));
+                add(new StateActionReward(new Observation(Nd4j.create(new double[] { -2.1, -2.2 }).reshape(1, 2)), 1, 2.0, true));
             }
         };
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerListTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerListTest.java
index 1e01c409a..9d2b3fd7a 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerListTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/listener/TrainingListenerListTest.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.listener;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/ExpReplayTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/ExpReplayTest.java
index 1e1a50e65..7d4f6ffbd 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/ExpReplayTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/ExpReplayTest.java
@@ -1,5 +1,26 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.learning.sync;
 
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.deeplearning4j.rl4j.support.MockRandom;
 import org.junit.Test;
@@ -17,10 +38,10 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(2, 1, randomMock);
 
         // Act
-        Transition transition = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState = buildTransition(buildObservation(),
                 123, 234, new Observation(Nd4j.create(1)));
-        sut.store(transition);
-        List> results = sut.getBatch(1);
+        sut.store(stateActionRewardState);
+        List> results = sut.getBatch(1);
 
         // Assert
         assertEquals(1, results.size());
@@ -35,16 +56,16 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(2, 1, randomMock);
 
         // Act
-        Transition transition1 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState1 = buildTransition(buildObservation(),
                 1, 2, new Observation(Nd4j.create(1)));
-        Transition transition2 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState2 = buildTransition(buildObservation(),
                 3, 4, new Observation(Nd4j.create(1)));
-        Transition transition3 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState3 = buildTransition(buildObservation(),
                 5, 6, new Observation(Nd4j.create(1)));
-        sut.store(transition1);
-        sut.store(transition2);
-        sut.store(transition3);
-        List> results = sut.getBatch(2);
+        sut.store(stateActionRewardState1);
+        sut.store(stateActionRewardState2);
+        sut.store(stateActionRewardState3);
+        List> results = sut.getBatch(2);
 
         // Assert
         assertEquals(2, results.size());
@@ -64,7 +85,7 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(5, 1, randomMock);
 
         // Act
-        List> results = sut.getBatch(0);
+        List> results = sut.getBatch(0);
 
         // Assert
         assertEquals(0, results.size());
@@ -77,16 +98,16 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(5, 1, randomMock);
 
         // Act
-        Transition transition1 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState1 = buildTransition(buildObservation(),
                 1, 2, new Observation(Nd4j.create(1)));
-        Transition transition2 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState2 = buildTransition(buildObservation(),
                 3, 4, new Observation(Nd4j.create(1)));
-        Transition transition3 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState3 = buildTransition(buildObservation(),
                 5, 6, new Observation(Nd4j.create(1)));
-        sut.store(transition1);
-        sut.store(transition2);
-        sut.store(transition3);
-        List> results = sut.getBatch(0);
+        sut.store(stateActionRewardState1);
+        sut.store(stateActionRewardState2);
+        sut.store(stateActionRewardState3);
+        List> results = sut.getBatch(0);
 
         // Assert
         assertEquals(0, results.size());
@@ -99,16 +120,16 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(5, 1, randomMock);
 
         // Act
-        Transition transition1 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState1 = buildTransition(buildObservation(),
                 1, 2, new Observation(Nd4j.create(1)));
-        Transition transition2 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState2 = buildTransition(buildObservation(),
                 3, 4, new Observation(Nd4j.create(1)));
-        Transition transition3 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState3 = buildTransition(buildObservation(),
                 5, 6, new Observation(Nd4j.create(1)));
-        sut.store(transition1);
-        sut.store(transition2);
-        sut.store(transition3);
-        List> results = sut.getBatch(10);
+        sut.store(stateActionRewardState1);
+        sut.store(stateActionRewardState2);
+        sut.store(stateActionRewardState3);
+        List> results = sut.getBatch(10);
 
         // Assert
         assertEquals(3, results.size());
@@ -130,22 +151,22 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(5, 1, randomMock);
 
         // Act
-        Transition transition1 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState1 = buildTransition(buildObservation(),
                 1, 2, new Observation(Nd4j.create(1)));
-        Transition transition2 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState2 = buildTransition(buildObservation(),
                 3, 4, new Observation(Nd4j.create(1)));
-        Transition transition3 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState3 = buildTransition(buildObservation(),
                 5, 6, new Observation(Nd4j.create(1)));
-        Transition transition4 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState4 = buildTransition(buildObservation(),
                 7, 8, new Observation(Nd4j.create(1)));
-        Transition transition5 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState5 = buildTransition(buildObservation(),
                 9, 10, new Observation(Nd4j.create(1)));
-        sut.store(transition1);
-        sut.store(transition2);
-        sut.store(transition3);
-        sut.store(transition4);
-        sut.store(transition5);
-        List> results = sut.getBatch(3);
+        sut.store(stateActionRewardState1);
+        sut.store(stateActionRewardState2);
+        sut.store(stateActionRewardState3);
+        sut.store(stateActionRewardState4);
+        sut.store(stateActionRewardState5);
+        List> results = sut.getBatch(3);
 
         // Assert
         assertEquals(3, results.size());
@@ -167,22 +188,22 @@ public class ExpReplayTest {
         ExpReplay sut = new ExpReplay(5, 1, randomMock);
 
         // Act
-        Transition transition1 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState1 = buildTransition(buildObservation(),
                 1, 2, new Observation(Nd4j.create(1)));
-        Transition transition2 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState2 = buildTransition(buildObservation(),
                 3, 4, new Observation(Nd4j.create(1)));
-        Transition transition3 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState3 = buildTransition(buildObservation(),
                 5, 6, new Observation(Nd4j.create(1)));
-        Transition transition4 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState4 = buildTransition(buildObservation(),
                 7, 8, new Observation(Nd4j.create(1)));
-        Transition transition5 = buildTransition(buildObservation(),
+        StateActionRewardState stateActionRewardState5 = buildTransition(buildObservation(),
                 9, 10, new Observation(Nd4j.create(1)));
-        sut.store(transition1);
-        sut.store(transition2);
-        sut.store(transition3);
-        sut.store(transition4);
-        sut.store(transition5);
-        List> results = sut.getBatch(3);
+        sut.store(stateActionRewardState1);
+        sut.store(stateActionRewardState2);
+        sut.store(stateActionRewardState3);
+        sut.store(stateActionRewardState4);
+        sut.store(stateActionRewardState5);
+        List> results = sut.getBatch(3);
 
         // Assert
         assertEquals(3, results.size());
@@ -197,8 +218,8 @@ public class ExpReplayTest {
         assertEquals(6, (int)results.get(2).getReward());
     }
 
-    private Transition buildTransition(Observation observation, Integer action, double reward, Observation nextObservation) {
-        Transition result = new Transition(observation, action, reward, false);
+    private StateActionRewardState buildTransition(Observation observation, Integer action, double reward, Observation nextObservation) {
+        StateActionRewardState result = new StateActionRewardState(observation, action, reward, false);
         result.setNextObservation(nextObservation);
 
         return result;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/StateActionRewardStateTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/StateActionRewardStateTest.java
new file mode 100644
index 000000000..ef48d629c
--- /dev/null
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/StateActionRewardStateTest.java
@@ -0,0 +1,155 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j.learning.sync;
+
+import org.deeplearning4j.rl4j.experience.StateActionRewardState;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.junit.Test;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import static org.junit.Assert.assertEquals;
+
+public class StateActionRewardStateTest {
+    @Test
+    public void when_callingCtorWithoutHistory_expect_2DObservationAndNextObservation() {
+        // Arrange
+        double[] obs = new double[] { 1.0, 2.0, 3.0 };
+        Observation observation = buildObservation(obs);
+
+        double[] nextObs = new double[] { 10.0, 20.0, 30.0 };
+        Observation nextObservation = buildObservation(nextObs);
+
+        // Act
+        StateActionRewardState stateActionRewardState = buildTransition(observation, 123, 234.0, nextObservation);
+
+        // Assert
+        double[][] expectedObservation = new double[][] { obs };
+        assertExpected(expectedObservation, stateActionRewardState.getObservation().getChannelData(0));
+
+        double[][] expectedNextObservation = new double[][] { nextObs };
+        assertExpected(expectedNextObservation, stateActionRewardState.getNextObservation().getChannelData(0));
+
+        assertEquals(123, stateActionRewardState.getAction());
+        assertEquals(234.0, stateActionRewardState.getReward(), 0.0001);
+    }
+
+    @Test
+    public void when_callingCtorWithHistory_expect_ObservationAndNextWithHistory() {
+        // Arrange
+        double[][] obs = new double[][] {
+                { 0.0, 1.0, 2.0 },
+                { 3.0, 4.0, 5.0 },
+                { 6.0, 7.0, 8.0 },
+        };
+        Observation observation = buildObservation(obs);
+
+        double[][] nextObs = new double[][] {
+                { 10.0, 11.0, 12.0 },
+                { 0.0, 1.0, 2.0 },
+                { 3.0, 4.0, 5.0 },
+        };
+        Observation nextObservation = buildObservation(nextObs);
+
+        // Act
+        StateActionRewardState stateActionRewardState = buildTransition(observation, 123, 234.0, nextObservation);
+
+        // Assert
+        assertExpected(obs, stateActionRewardState.getObservation().getChannelData(0));
+
+        assertExpected(nextObs, stateActionRewardState.getNextObservation().getChannelData(0));
+
+        assertEquals(123, stateActionRewardState.getAction());
+        assertEquals(234.0, stateActionRewardState.getReward(), 0.0001);
+    }
+
+    private Observation buildObservation(double[][] obs) {
+        INDArray[] history = new INDArray[] {
+                Nd4j.create(obs[0]).reshape(1, 3),
+                Nd4j.create(obs[1]).reshape(1, 3),
+                Nd4j.create(obs[2]).reshape(1, 3),
+        };
+        return new Observation(Nd4j.concat(0, history));
+    }
+
+    private Observation buildObservation(double[] obs) {
+        return new Observation(Nd4j.create(obs).reshape(1, 3));
+    }
+
+    private Observation buildNextObservation(double[][] obs, double[] nextObs) {
+        INDArray[] nextHistory = new INDArray[] {
+                Nd4j.create(nextObs).reshape(1, 3),
+                Nd4j.create(obs[0]).reshape(1, 3),
+                Nd4j.create(obs[1]).reshape(1, 3),
+        };
+        return new Observation(Nd4j.concat(0, nextHistory));
+    }
+
+    private StateActionRewardState buildTransition(Observation observation, int action, double reward, Observation nextObservation) {
+        StateActionRewardState result = new StateActionRewardState(observation, action, reward, false);
+        result.setNextObservation(nextObservation);
+
+        return result;
+    }
+
+    private void assertExpected(double[] expected, INDArray actual) {
+        long[] shape = actual.shape();
+        assertEquals(2, shape.length);
+        assertEquals(1, shape[0]);
+        assertEquals(expected.length, shape[1]);
+        for(int i = 0; i < expected.length; ++i) {
+            assertEquals(expected[i], actual.getDouble(0, i), 0.0001);
+        }
+    }
+
+    private void assertExpected(double[][] expected, INDArray actual) {
+        long[] shape = actual.shape();
+        assertEquals(2, shape.length);
+        assertEquals(expected.length, shape[0]);
+        assertEquals(expected[0].length, shape[1]);
+
+        for(int i = 0; i < expected.length; ++i) {
+            double[] expectedLine = expected[i];
+            for(int j = 0; j < expectedLine.length; ++j) {
+                assertEquals(expectedLine[j], actual.getDouble(i, j), 0.0001);
+            }
+        }
+    }
+
+    private void assertExpected(double[][][] expected, INDArray actual) {
+        long[] shape = actual.shape();
+        assertEquals(3, shape.length);
+        assertEquals(expected.length, shape[0]);
+        assertEquals(expected[0].length, shape[1]);
+        assertEquals(expected[0][0].length, shape[2]);
+
+        for(int i = 0; i < expected.length; ++i) {
+            double[][] expected2D = expected[i];
+            for(int j = 0; j < expected2D.length; ++j) {
+                double[] expectedLine = expected2D[j];
+                for (int k = 0; k < expectedLine.length; ++k) {
+                    assertEquals(expectedLine[k], actual.getDouble(i, j, k), 0.0001);
+                }
+            }
+        }
+
+    }
+}
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/SyncLearningTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/SyncLearningTest.java
index 4c215225f..c96e68a30 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/SyncLearningTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/SyncLearningTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.learning.sync;
 
 import org.deeplearning4j.rl4j.learning.configuration.ILearningConfiguration;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/TransitionTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/TransitionTest.java
deleted file mode 100644
index 374b6a140..000000000
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/TransitionTest.java
+++ /dev/null
@@ -1,261 +0,0 @@
-package org.deeplearning4j.rl4j.learning.sync;
-
-import org.deeplearning4j.rl4j.observation.Observation;
-import org.junit.Test;
-import org.nd4j.linalg.api.ndarray.INDArray;
-import org.nd4j.linalg.factory.Nd4j;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-
-public class TransitionTest {
-    @Test
-    public void when_callingCtorWithoutHistory_expect_2DObservationAndNextObservation() {
-        // Arrange
-        double[] obs = new double[] { 1.0, 2.0, 3.0 };
-        Observation observation = buildObservation(obs);
-
-        double[] nextObs = new double[] { 10.0, 20.0, 30.0 };
-        Observation nextObservation = buildObservation(nextObs);
-
-        // Act
-        Transition transition = buildTransition(observation, 123, 234.0, nextObservation);
-
-        // Assert
-        double[][] expectedObservation = new double[][] { obs };
-        assertExpected(expectedObservation, transition.getObservation().getData());
-
-        double[][] expectedNextObservation = new double[][] { nextObs };
-        assertExpected(expectedNextObservation, transition.getNextObservation());
-
-        assertEquals(123, transition.getAction());
-        assertEquals(234.0, transition.getReward(), 0.0001);
-    }
-
-    @Test
-    public void when_callingCtorWithHistory_expect_ObservationWithHistoryAndNextObservationWithout() {
-        // Arrange
-        double[][] obs = new double[][] {
-                { 0.0, 1.0, 2.0 },
-                { 3.0, 4.0, 5.0 },
-                { 6.0, 7.0, 8.0 },
-        };
-        Observation observation = buildObservation(obs);
-
-        double[][] nextObs = new double[][] {
-                { 10.0, 11.0, 12.0 },
-                { 0.0, 1.0, 2.0 },
-                { 3.0, 4.0, 5.0 },
-        };
-        Observation nextObservation = buildObservation(nextObs);
-
-        // Act
-        Transition transition = buildTransition(observation, 123, 234.0, nextObservation);
-
-        // Assert
-        assertExpected(obs, transition.getObservation().getData());
-
-        assertExpected(nextObs[0], transition.getNextObservation());
-
-        assertEquals(123, transition.getAction());
-        assertEquals(234.0, transition.getReward(), 0.0001);
-    }
-
-    @Test
-    public void when_CallingBuildStackedObservationsAndShapeRankIs2_expect_2DResultWithObservationsStackedOnDimension0() {
-        // Arrange
-        List> transitions = new ArrayList>();
-
-        double[] obs1 = new double[] { 0.0, 1.0, 2.0 };
-        Observation observation1 = buildObservation(obs1);
-        Observation nextObservation1 = buildObservation(new double[] { 100.0, 101.0, 102.0 });
-        transitions.add(buildTransition(observation1,0, 0.0, nextObservation1));
-
-        double[] obs2 = new double[] { 10.0, 11.0, 12.0 };
-        Observation observation2 = buildObservation(obs2);
-        Observation nextObservation2 = buildObservation(new double[] { 110.0, 111.0, 112.0 });
-        transitions.add(buildTransition(observation2, 0, 0.0, nextObservation2));
-
-        // Act
-        INDArray result = Transition.buildStackedObservations(transitions);
-
-        // Assert
-        double[][] expected = new double[][] { obs1, obs2 };
-        assertExpected(expected, result);
-    }
-
-    @Test
-    public void when_CallingBuildStackedObservationsAndShapeRankIsGreaterThan2_expect_ResultWithOneMoreDimensionAndObservationsStackedOnDimension0() {
-        // Arrange
-        List> transitions = new ArrayList>();
-
-        double[][] obs1 = new double[][] {
-                { 0.0, 1.0, 2.0 },
-                { 3.0, 4.0, 5.0 },
-                { 6.0, 7.0, 8.0 },
-        };
-        Observation observation1 = buildObservation(obs1);
-
-        double[] nextObs1 = new double[] { 100.0, 101.0, 102.0 };
-        Observation nextObservation1 = buildNextObservation(obs1, nextObs1);
-
-        transitions.add(buildTransition(observation1, 0, 0.0, nextObservation1));
-
-        double[][] obs2 = new double[][] {
-                { 10.0, 11.0, 12.0 },
-                { 13.0, 14.0, 15.0 },
-                { 16.0, 17.0, 18.0 },
-        };
-        Observation observation2 = buildObservation(obs2);
-
-        double[] nextObs2 = new double[] { 110.0, 111.0, 112.0 };
-        Observation nextObservation2 = buildNextObservation(obs2, nextObs2);
-        transitions.add(buildTransition(observation2, 0, 0.0, nextObservation2));
-
-        // Act
-        INDArray result = Transition.buildStackedObservations(transitions);
-
-        // Assert
-        double[][][] expected = new double[][][] { obs1, obs2 };
-        assertExpected(expected, result);
-    }
-
-    @Test
-    public void when_CallingBuildStackedNextObservationsAndShapeRankIs2_expect_2DResultWithObservationsStackedOnDimension0() {
-        // Arrange
-        List> transitions = new ArrayList>();
-
-        double[] obs1 = new double[] { 0.0, 1.0, 2.0 };
-        double[] nextObs1 = new double[] { 100.0, 101.0, 102.0 };
-        Observation observation1 = buildObservation(obs1);
-        Observation nextObservation1 = buildObservation(nextObs1);
-        transitions.add(buildTransition(observation1, 0, 0.0, nextObservation1));
-
-        double[] obs2 = new double[] { 10.0, 11.0, 12.0 };
-        double[] nextObs2 = new double[] { 110.0, 111.0, 112.0 };
-        Observation observation2 = buildObservation(obs2);
-        Observation nextObservation2 = buildObservation(nextObs2);
-        transitions.add(buildTransition(observation2, 0, 0.0, nextObservation2));
-
-        // Act
-        INDArray result = Transition.buildStackedNextObservations(transitions);
-
-        // Assert
-        double[][] expected = new double[][] { nextObs1, nextObs2 };
-        assertExpected(expected, result);
-    }
-
-    @Test
-    public void when_CallingBuildStackedNextObservationsAndShapeRankIsGreaterThan2_expect_ResultWithOneMoreDimensionAndObservationsStackedOnDimension0() {
-        // Arrange
-        List> transitions = new ArrayList>();
-
-        double[][] obs1 = new double[][] {
-                { 0.0, 1.0, 2.0 },
-                { 3.0, 4.0, 5.0 },
-                { 6.0, 7.0, 8.0 },
-        };
-        Observation observation1 = buildObservation(obs1);
-
-        double[] nextObs1 = new double[] { 100.0, 101.0, 102.0 };
-        Observation nextObservation1 = buildNextObservation(obs1, nextObs1);
-
-        transitions.add(buildTransition(observation1, 0, 0.0, nextObservation1));
-
-        double[][] obs2 = new double[][] {
-                { 10.0, 11.0, 12.0 },
-                { 13.0, 14.0, 15.0 },
-                { 16.0, 17.0, 18.0 },
-        };
-        Observation observation2 = buildObservation(obs2);
-
-        double[] nextObs2 = new double[] { 110.0, 111.0, 112.0 };
-        Observation nextObservation2 = buildNextObservation(obs2, nextObs2);
-
-        transitions.add(buildTransition(observation2, 0, 0.0, nextObservation2));
-
-        // Act
-        INDArray result = Transition.buildStackedNextObservations(transitions);
-
-        // Assert
-        double[][][] expected = new double[][][] {
-                new double[][] { nextObs1, obs1[0], obs1[1] },
-                new double[][] { nextObs2, obs2[0], obs2[1] }
-        };
-        assertExpected(expected, result);
-    }
-
-    private Observation buildObservation(double[][] obs) {
-        INDArray[] history = new INDArray[] {
-                Nd4j.create(obs[0]).reshape(1, 3),
-                Nd4j.create(obs[1]).reshape(1, 3),
-                Nd4j.create(obs[2]).reshape(1, 3),
-        };
-        return new Observation(Nd4j.concat(0, history));
-    }
-
-    private Observation buildObservation(double[] obs) {
-        return new Observation(Nd4j.create(obs).reshape(1, 3));
-    }
-
-    private Observation buildNextObservation(double[][] obs, double[] nextObs) {
-        INDArray[] nextHistory = new INDArray[] {
-                Nd4j.create(nextObs).reshape(1, 3),
-                Nd4j.create(obs[0]).reshape(1, 3),
-                Nd4j.create(obs[1]).reshape(1, 3),
-        };
-        return new Observation(Nd4j.concat(0, nextHistory));
-    }
-
-    private Transition buildTransition(Observation observation, int action, double reward, Observation nextObservation) {
-        Transition result = new Transition(observation, action, reward, false);
-        result.setNextObservation(nextObservation);
-
-        return result;
-    }
-
-    private void assertExpected(double[] expected, INDArray actual) {
-        long[] shape = actual.shape();
-        assertEquals(2, shape.length);
-        assertEquals(1, shape[0]);
-        assertEquals(expected.length, shape[1]);
-        for(int i = 0; i < expected.length; ++i) {
-            assertEquals(expected[i], actual.getDouble(0, i), 0.0001);
-        }
-    }
-
-    private void assertExpected(double[][] expected, INDArray actual) {
-        long[] shape = actual.shape();
-        assertEquals(2, shape.length);
-        assertEquals(expected.length, shape[0]);
-        assertEquals(expected[0].length, shape[1]);
-
-        for(int i = 0; i < expected.length; ++i) {
-            double[] expectedLine = expected[i];
-            for(int j = 0; j < expectedLine.length; ++j) {
-                assertEquals(expectedLine[j], actual.getDouble(i, j), 0.0001);
-            }
-        }
-    }
-
-    private void assertExpected(double[][][] expected, INDArray actual) {
-        long[] shape = actual.shape();
-        assertEquals(3, shape.length);
-        assertEquals(expected.length, shape[0]);
-        assertEquals(expected[0].length, shape[1]);
-        assertEquals(expected[0][0].length, shape[2]);
-
-        for(int i = 0; i < expected.length; ++i) {
-            double[][] expected2D = expected[i];
-            for(int j = 0; j < expected2D.length; ++j) {
-                double[] expectedLine = expected2D[j];
-                for (int k = 0; k < expectedLine.length; ++k) {
-                    assertEquals(expectedLine[k], actual.getDouble(i, j, k), 0.0001);
-                }
-            }
-        }
-
-    }
-}
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearningConfigurationTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearningConfigurationTest.java
index d7d9bf072..aec26be38 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearningConfigurationTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/QLearningConfigurationTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync.qlearning;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteTest.java
index e1f47fd0a..68a3ec85b 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/qlearning/discrete/QLearningDiscreteTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.learning.sync.qlearning.discrete;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockDQN.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockDQN.java
index ce105af06..7985e2ca5 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockDQN.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockDQN.java
@@ -1,7 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.learning.sync.support;
 
 import org.deeplearning4j.nn.api.NeuralNetwork;
 import org.deeplearning4j.nn.gradient.Gradient;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
@@ -63,6 +84,11 @@ public class MockDQN implements IDQN {
         return result;
     }
 
+    @Override
+    public NeuralNetOutput output(Features features) {
+        throw new UnsupportedOperationException();
+    }
+
     @Override
     public NeuralNetOutput output(Observation observation) {
         return this.output(observation.getData());
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockStatEntry.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockStatEntry.java
index 540b869d3..c14c55081 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockStatEntry.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/learning/sync/support/MockStatEntry.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.learning.sync.support;
 
 import lombok.AllArgsConstructor;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ActorCriticNetworkTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ActorCriticNetworkTest.java
index ef9fe2201..2cdd4b570 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ActorCriticNetworkTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ActorCriticNetworkTest.java
@@ -1,8 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.junit.Test;
@@ -19,16 +40,26 @@ import static org.mockito.Mockito.times;
 @RunWith(MockitoJUnitRunner.class)
 public class ActorCriticNetworkTest {
 
+    private FeaturesLabels createFeaturesLabelsMock() {
+        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2) });
+        when(featuresLabelsMock.getFeatures()).thenReturn(features);
+
+        return featuresLabelsMock;
+    }
+
     @Test
     public void when_callingCtorWithCG_expect_handlerUsesCorrectLabelAndGradientNames() {
         // Arrange
         ComputationGraph modelMock = mock(ComputationGraph.class);
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
         Gradient gradientMock = mock(Gradient.class);
         when(modelMock.gradient()).thenReturn(gradientMock);
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(modelMock);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withCombinedNetwork(modelMock)
+                .build();
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -48,11 +79,12 @@ public class ActorCriticNetworkTest {
         Gradient policyGradientMock = mock(Gradient.class);
         when(policyMock.gradient()).thenReturn(policyGradientMock);
 
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
-
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(valueMock, policyMock);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withSeparateNetworks(valueMock, policyMock)
+                .build();
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -73,11 +105,12 @@ public class ActorCriticNetworkTest {
         Gradient policyGradientMock = mock(Gradient.class);
         when(policyMock.gradient()).thenReturn(policyGradientMock);
 
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
-
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(valueMock, policyMock);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withSeparateNetworks(valueMock, policyMock)
+                .build();
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -98,11 +131,12 @@ public class ActorCriticNetworkTest {
         Gradient policyGradientMock = mock(Gradient.class);
         when(policyMock.gradient()).thenReturn(policyGradientMock);
 
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
-
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(valueMock, policyMock);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withSeparateNetworks(valueMock, policyMock)
+                .build();
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -123,11 +157,12 @@ public class ActorCriticNetworkTest {
         Gradient policyGradientMock = mock(Gradient.class);
         when(policyMock.gradient()).thenReturn(policyGradientMock);
 
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
-
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(valueMock, policyMock);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withSeparateNetworks(valueMock, policyMock)
+                .build();
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -141,14 +176,17 @@ public class ActorCriticNetworkTest {
     public void when_callingOutput_expect_resultHasCorrectNames() {
         // Arrange
         ComputationGraph modelMock = mock(ComputationGraph.class);
-        INDArray batch = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { featuresData });
         INDArray outputValue = Nd4j.rand(1, 2);
         INDArray outputPolicy = Nd4j.rand(1, 2);
-        when(modelMock.output(batch)).thenReturn(new INDArray[] { outputValue, outputPolicy });
+        when(modelMock.output(featuresData)).thenReturn(new INDArray[] { outputValue, outputPolicy });
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(modelMock);
-        NeuralNetOutput result = sut.output(batch);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withCombinedNetwork(modelMock)
+                .build();
+        NeuralNetOutput result = sut.output(features);
 
         // Assert
         assertSame(outputValue, result.get(CommonOutputNames.ActorCritic.Value));
@@ -162,7 +200,9 @@ public class ActorCriticNetworkTest {
         when(modelMock.clone()).thenReturn(modelMock);
 
         // Act
-        ActorCriticNetwork sut = new ActorCriticNetwork(modelMock);
+        ActorCriticNetwork sut = ActorCriticNetwork.builder()
+                .withCombinedNetwork(modelMock)
+                .build();
         ActorCriticNetwork clone = sut.clone();
 
         // Assert
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/BaseNetworkTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/BaseNetworkTest.java
index 8c853fa65..0e47b7eeb 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/BaseNetworkTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/BaseNetworkTest.java
@@ -1,10 +1,32 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
 import org.junit.Test;
 import org.junit.runner.RunWith;
+import org.mockito.ArgumentCaptor;
 import org.mockito.Mock;
 import org.mockito.Mockito;
 import org.mockito.junit.MockitoJUnitRunner;
@@ -12,6 +34,7 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 
 import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertSame;
 import static org.mockito.Mockito.*;
 
 @RunWith(MockitoJUnitRunner.class)
@@ -62,8 +85,9 @@ public class BaseNetworkTest {
     public void when_callingComputeGradients_expect_handlerComputeGradientsIsNotifiedAndResponseIsFilled() {
         // Arrange
         setup(false);
-        FeaturesLabels featuresLabels = new FeaturesLabels(Nd4j.create(12, 1));
-        Gradients gradientsMock = mock(Gradients.class);
+        Features featuresMock = mock(Features.class);
+        when(featuresMock.getBatchSize()).thenReturn(12L);
+        FeaturesLabels featuresLabels = new FeaturesLabels(featuresMock);
 
         // Act
         Gradients response = sut.computeGradients(featuresLabels);
@@ -72,7 +96,7 @@ public class BaseNetworkTest {
         verify(handlerMock, times(1)).performGradientsComputation(featuresLabels);
         verify(handlerMock, times(1)).notifyGradientCalculation();
         verify(handlerMock, times(1)).fillGradientsResponse(response);
-        assertEquals(response.getBatchSize(), 12);
+        assertEquals(12, response.getBatchSize());
     }
 
     @Test
@@ -96,13 +120,13 @@ public class BaseNetworkTest {
         setup(false);
         Observation observation = new Observation(Nd4j.rand(1, 2));
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(observation.getData())).thenReturn(batchOutputResult);
+        when(handlerMock.stepOutput(observation)).thenReturn(batchOutputResult);
 
         // Act
         sut.output(observation);
 
         // Assert
-        verify(handlerMock, times(1)).batchOutput(observation.getData());
+        verify(handlerMock, times(1)).stepOutput(observation);
         verify(sut, times(1)).packageResult(batchOutputResult);
     }
 
@@ -126,15 +150,20 @@ public class BaseNetworkTest {
     public void when_callingOutput_expect_nonRecurrentOutputIsReturned() {
         // Arrange
         setup(false);
-        INDArray batch = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { featuresData });
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(batch)).thenReturn(batchOutputResult);
+        when(handlerMock.batchOutput(features)).thenReturn(batchOutputResult);
 
         // Act
-        sut.output(batch);
+        sut.output(features);
 
         // Assert
-        verify(handlerMock, times(1)).batchOutput(batch);
+        ArgumentCaptor captor = ArgumentCaptor.forClass(Features.class);
+        verify(handlerMock, times(1)).batchOutput(captor.capture());
+        INDArray resultData = captor.getValue().get(0);
+        assertSame(featuresData, resultData);
+
         verify(sut, times(1)).packageResult(batchOutputResult);
     }
 
@@ -180,7 +209,6 @@ public class BaseNetworkTest {
         setup(false);
         Observation observation = new Observation(Nd4j.rand(1, 2));
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(observation.getData())).thenReturn(batchOutputResult);
 
         // Act
         sut.output(observation);
@@ -189,7 +217,7 @@ public class BaseNetworkTest {
 
         // Assert
         // Note: calling batchOutput twice means BaseNetwork.fit() has cleared the cache
-        verify(handlerMock, times(2)).batchOutput(observation.getData());
+        verify(handlerMock, times(2)).stepOutput(observation);
     }
 
     @Test
@@ -198,7 +226,6 @@ public class BaseNetworkTest {
         setup(false);
         Observation observation = new Observation(Nd4j.rand(1, 2));
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(observation.getData())).thenReturn(batchOutputResult);
 
         // Act
         sut.output(observation);
@@ -207,7 +234,7 @@ public class BaseNetworkTest {
 
         // Assert
         // Note: calling batchOutput twice means BaseNetwork.fit() has cleared the cache
-        verify(handlerMock, times(2)).batchOutput(observation.getData());
+        verify(handlerMock, times(2)).stepOutput(observation);
     }
 
     @Test
@@ -218,8 +245,6 @@ public class BaseNetworkTest {
         when(gradientsMock.getBatchSize()).thenReturn(12L);
         Observation observation = new Observation(Nd4j.rand(1, 2));
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(observation.getData())).thenReturn(batchOutputResult);
-
 
         // Act
         sut.output(observation);
@@ -228,7 +253,7 @@ public class BaseNetworkTest {
 
         // Assert
         // Note: calling batchOutput twice means BaseNetwork.applyGradients() has cleared the cache
-        verify(handlerMock, times(2)).batchOutput(observation.getData());
+        verify(handlerMock, times(2)).stepOutput(observation);
     }
 
     @Test
@@ -237,8 +262,6 @@ public class BaseNetworkTest {
         setup(false);
         Observation observation = new Observation(Nd4j.rand(1, 2));
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(observation.getData())).thenReturn(batchOutputResult);
-
 
         // Act
         sut.output(observation);
@@ -247,7 +270,7 @@ public class BaseNetworkTest {
 
         // Assert
         // Note: calling batchOutput twice means BaseNetwork.reset() has cleared the cache
-        verify(handlerMock, times(2)).batchOutput(observation.getData());
+        verify(handlerMock, times(2)).stepOutput(observation);
     }
 
     @Test
@@ -256,7 +279,6 @@ public class BaseNetworkTest {
         setup(false);
         Observation observation = new Observation(Nd4j.rand(1, 2));
         INDArray[] batchOutputResult = new INDArray[] { Nd4j.rand(1, 2) };
-        when(handlerMock.batchOutput(observation.getData())).thenReturn(batchOutputResult);
 
 
         // Act
@@ -266,7 +288,7 @@ public class BaseNetworkTest {
 
         // Assert
         // Note: calling batchOutput twice means BaseNetwork.reset() has cleared the cache
-        verify(handlerMock, times(2)).batchOutput(observation.getData());
+        verify(handlerMock, times(2)).stepOutput(observation);
     }
 
 }
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ChannelToNetworkInputMapperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ChannelToNetworkInputMapperTest.java
new file mode 100644
index 000000000..69e77e097
--- /dev/null
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ChannelToNetworkInputMapperTest.java
@@ -0,0 +1,201 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j.network;
+
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.mockito.junit.MockitoJUnitRunner;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import static org.junit.Assert.*;
+
+@RunWith(MockitoJUnitRunner.class)
+public class ChannelToNetworkInputMapperTest {
+
+    @Test
+    public void when_mapIsEmpty_expect_exception() {
+        try {
+            new ChannelToNetworkInputMapper(new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[0], new String[] { "TEST" }, new String [] { "TEST" });
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "networkInputsToChannelNameMap is empty.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_networkInputNamesIsEmpty_expect_exception() {
+        try {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST", "TEST")
+            };
+            new ChannelToNetworkInputMapper(map, new String[0], new String [] { "TEST" });
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "networkInputNames is empty.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_channelNamesIsEmpty_expect_exception() {
+        try {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST", "TEST")
+            };
+            new ChannelToNetworkInputMapper(map, new String [] { "TEST" }, new String[0]);
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "channelNames is empty.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_notAllInputsAreMapped_expect_exception() {
+        try {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST", "TEST")
+            };
+            new ChannelToNetworkInputMapper(map, new String [] { "TEST", "NOT-MAPPED" }, new String [] { "TEST" });
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "All network inputs must be mapped exactly once. Input 'NOT-MAPPED' is mapped 0 times.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_anInputIsMappedMultipleTimes_expect_exception() {
+        try {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST", "TEST"),
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST1", "TEST"),
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST1", "TEST")
+            };
+            new ChannelToNetworkInputMapper(map, new String [] { "TEST", "TEST1" }, new String [] { "TEST" });
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "All network inputs must be mapped exactly once. Input 'TEST1' is mapped 2 times.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_aMapInputDoesNotExist_expect_exception() {
+        try {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST", "TEST"),
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST1", "TEST"),
+            };
+            new ChannelToNetworkInputMapper(map, new String [] { "TEST" }, new String [] { "TEST" });
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "'TEST1' not found in networkInputNames";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_aMapFeatureDoesNotExist_expect_exception() {
+        try {
+            ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST", "TEST"),
+                    ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("TEST1", "TEST1"),
+            };
+            new ChannelToNetworkInputMapper(map, new String [] { "TEST", "TEST1" }, new String [] { "TEST" });
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "'TEST1' not found in channelNames";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+    @Test
+    public void when_callingObservationGetNetworkInputs_expect_aCorrectlyOrderedINDArrayArray() {
+        // ARRANGE
+        ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("IN-1", "FEATURE-1"),
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("IN-2", "FEATURE-2"),
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("IN-3", "FEATURE-3"),
+        };
+        String[] networkInputs = new String[] { "IN-1", "IN-2", "IN-3" };
+        String[] channelNames = new String[] { "FEATURE-1", "FEATURE-2", "FEATURE-UNUSED", "FEATURE-3" };
+        ChannelToNetworkInputMapper sut = new ChannelToNetworkInputMapper(map, networkInputs, channelNames);
+        INDArray feature1 = Nd4j.rand(1, 2);
+        INDArray feature2 = Nd4j.rand(1, 2);
+        INDArray featureUnused = Nd4j.rand(1, 2);
+        INDArray feature3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { feature1, feature2, featureUnused, feature3 });
+
+        // ACT
+        INDArray[] results = sut.getNetworkInputs(observation);
+
+        // ASSERT
+        assertSame(feature1, results[0]);
+        assertSame(feature2, results[1]);
+        assertSame(feature3, results[2]);
+    }
+
+    @Test
+    public void when_callingFeaturesGetNetworkInputs_expect_aCorrectlyOrderedINDArrayArray() {
+        // ARRANGE
+        ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] map = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("IN-1", "FEATURE-1"),
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("IN-2", "FEATURE-2"),
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("IN-3", "FEATURE-3"),
+        };
+        String[] networkInputs = new String[] { "IN-1", "IN-2", "IN-3" };
+        String[] channelNames = new String[] { "FEATURE-1", "FEATURE-2", "FEATURE-UNUSED", "FEATURE-3" };
+        ChannelToNetworkInputMapper sut = new ChannelToNetworkInputMapper(map, networkInputs, channelNames);
+        INDArray feature1 = Nd4j.rand(1, 2);
+        INDArray feature2 = Nd4j.rand(1, 2);
+        INDArray featureUnused = Nd4j.rand(1, 2);
+        INDArray feature3 = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { feature1, feature2, featureUnused, feature3 });
+
+        // ACT
+        INDArray[] results = sut.getNetworkInputs(features);
+
+        // ASSERT
+        assertSame(feature1, results[0]);
+        assertSame(feature2, results[1]);
+        assertSame(feature3, results[2]);
+    }
+
+}
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandlerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandlerTest.java
index 3bcbe444c..4fe8fc04c 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandlerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/CompoundNetworkHandlerTest.java
@@ -1,5 +1,26 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -135,19 +156,20 @@ public class CompoundNetworkHandlerTest {
     }
 
     @Test
-    public void when_callingBatchOutput_expect_outputCalledWithBatch() {
+    public void when_callingFeaturesBatchOutput_expect_outputCalledWithBatch() {
         // Arrange
         setup(false);
         INDArray batch = Nd4j.rand(1, 2);
-        when(handler1.batchOutput(batch)).thenReturn(new INDArray[] { batch.mul(2.0) });
-        when(handler2.batchOutput(batch)).thenReturn(new INDArray[] { batch.div(2.0) });
+        Features features = new Features(new INDArray[] { batch });
+        when(handler1.batchOutput(features)).thenReturn(new INDArray[] { batch.mul(2.0) });
+        when(handler2.batchOutput(features)).thenReturn(new INDArray[] { batch.div(2.0) });
 
         // Act
-        INDArray[] results = sut.batchOutput(batch);
+        INDArray[] results = sut.batchOutput(features);
 
         // Assert
-        verify(handler1, times(1)).batchOutput(batch);
-        verify(handler2, times(1)).batchOutput(batch);
+        verify(handler1, times(1)).batchOutput(features);
+        verify(handler2, times(1)).batchOutput(features);
         assertEquals(2, results.length);
         assertArrayEquals(results[0].toDoubleVector(), batch.mul(2.0).toDoubleVector(), 0.00001);
         assertArrayEquals(results[1].toDoubleVector(), batch.div(2.0).toDoubleVector(), 0.00001);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ComputationGraphHandlerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ComputationGraphHandlerTest.java
index 335f7acb0..43203210d 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ComputationGraphHandlerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ComputationGraphHandlerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
@@ -6,6 +26,7 @@ import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer;
 import org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -48,7 +69,7 @@ public class ComputationGraphHandlerTest {
             when(modelMock.getOutputLayer(0)).thenReturn(new RnnOutputLayer(null, null));
         }
 
-        sut = new ComputationGraphHandler(modelMock, LABEL_NAMES, GRADIENT_NAME);
+        sut = new ComputationGraphHandler(modelMock, LABEL_NAMES, GRADIENT_NAME, 1);
     }
 
     @Test
@@ -87,7 +108,8 @@ public class ComputationGraphHandlerTest {
     public void when_callingPerformFit_expect_fitCalledOnModelWithCorrectLabels() {
         // Arrange
         setup(false);
-        INDArray features = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), featuresData });
         INDArray labels = Nd4j.rand(1, 2);
         FeaturesLabels featuresLabels = new FeaturesLabels(features);
         featuresLabels.putLabels("TEST_LABEL", labels);
@@ -100,7 +122,7 @@ public class ComputationGraphHandlerTest {
         ArgumentCaptor labelsCaptor = ArgumentCaptor.forClass(INDArray[].class);
         verify(modelMock, times(1)).fit(featuresCaptor.capture(), labelsCaptor.capture());
         INDArray featuresArg = featuresCaptor.getValue()[0];
-        assertSame(featuresArg, features);
+        assertSame(featuresArg, featuresData);
         INDArray labelsArg = labelsCaptor.getValue()[0];
         assertSame(labelsArg, labels);
     }
@@ -109,8 +131,9 @@ public class ComputationGraphHandlerTest {
     public void when_callingperformGradientsComputation_expect_modelCalledWithCorrectFeaturesLabels() {
         // Arrange
         setup(false);
-        INDArray features = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
         INDArray labels = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), featuresData });
         FeaturesLabels featuresLabels = new FeaturesLabels(features);
         featuresLabels.putLabels("TEST_LABEL", labels);
 
@@ -118,11 +141,13 @@ public class ComputationGraphHandlerTest {
         sut.performGradientsComputation(featuresLabels);
 
         // Assert
-        verify(modelMock, times(1)).setInput(0, features);
+        ArgumentCaptor inputsCaptor = ArgumentCaptor.forClass(INDArray.class);
+        verify(modelMock, times(1)).setInputs(inputsCaptor.capture());
+        INDArray inputsArg = inputsCaptor.getValue();
+        assertSame(featuresData, inputsArg);
 
         ArgumentCaptor labelsCaptor = ArgumentCaptor.forClass(INDArray.class);
         verify(modelMock, times(1)).setLabels(labelsCaptor.capture());
-        Object debug = labelsCaptor.getAllValues();
         INDArray labelsArg = labelsCaptor.getValue();
         assertSame(labels, labelsArg);
 
@@ -175,7 +200,7 @@ public class ComputationGraphHandlerTest {
         setup(false);
         Observation observationMock = mock(Observation.class);
         INDArray observationData = Nd4j.rand(1, 2);
-        when(observationMock.getData()).thenReturn(observationData);
+        when(observationMock.getChannelData(1)).thenReturn(observationData);
 
         // Act
         sut.recurrentStepOutput(observationMock);
@@ -185,16 +210,17 @@ public class ComputationGraphHandlerTest {
     }
 
     @Test
-    public void when_callingBatchOutput_expect_outputCalledWithBatch() {
+    public void when_callingFeaturesBatchOutput_expect_outputCalledWithBatch() {
         // Arrange
         setup(false);
-        INDArray batch = Nd4j.rand(1, 2);
+        INDArray channelData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), channelData });
 
         // Act
-        sut.batchOutput(batch);
+        sut.batchOutput(features);
 
         // Assert
-        verify(modelMock, times(1)).output(batch);
+        verify(modelMock, times(1)).output(new INDArray[] { channelData });
     }
 
     @Test
@@ -240,7 +266,7 @@ public class ComputationGraphHandlerTest {
         setup(false);
         INDArray params = Nd4j.rand(1, 2);
         when(modelMock.params()).thenReturn(params);
-        ComputationGraphHandler from = new ComputationGraphHandler(modelMock, null, null);
+        ComputationGraphHandler from = new ComputationGraphHandler(modelMock, null, null, 0);
 
         // Act
         sut.copyFrom(from);
@@ -272,4 +298,25 @@ public class ComputationGraphHandlerTest {
         // Assert
         assertTrue(isRecurrent);
     }
+
+    @Test
+    public void when_creatingWithMapper_expect_computationsUseTheMapper() {
+        // Arrange
+        ChannelToNetworkInputMapper channelToNetworkInputMapperMock = mock(ChannelToNetworkInputMapper.class);
+        modelMock = mock(ComputationGraph.class);
+        trainingListenerMock = mock(TrainingListener.class);
+        INDArray featuresData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), featuresData });
+        INDArray labels = Nd4j.rand(1, 2);
+        FeaturesLabels featuresLabels = new FeaturesLabels(features);
+        featuresLabels.putLabels("TEST_LABEL", labels);
+        sut = new ComputationGraphHandler(modelMock, LABEL_NAMES, GRADIENT_NAME, channelToNetworkInputMapperMock);
+
+        // Act
+        sut.performGradientsComputation(featuresLabels);
+
+        // Assert
+        verify(channelToNetworkInputMapperMock, times(1)).getNetworkInputs(features);
+    }
+
 }
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandlerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandlerTest.java
index b77a5c94a..2b2af6e26 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandlerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/MultiLayerNetworkHandlerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 import org.deeplearning4j.nn.api.Updater;
@@ -6,6 +26,7 @@ import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.optimize.api.TrainingListener;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -48,7 +69,7 @@ public class MultiLayerNetworkHandlerTest {
             when(modelMock.getOutputLayer()).thenReturn(new RnnOutputLayer(null, null));
         }
 
-        sut = new MultiLayerNetworkHandler(modelMock, LABEL_NAME, GRADIENT_NAME);
+        sut = new MultiLayerNetworkHandler(modelMock, LABEL_NAME, GRADIENT_NAME, 1);
     }
 
     @Test
@@ -87,8 +108,9 @@ public class MultiLayerNetworkHandlerTest {
     public void when_callingPerformFit_expect_fitCalledOnModelWithCorrectLabels() {
         // Arrange
         setup(false);
-        INDArray features = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
         INDArray labels = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), featuresData });
         FeaturesLabels featuresLabels = new FeaturesLabels(features);
         featuresLabels.putLabels("TEST_LABEL", labels);
 
@@ -100,7 +122,7 @@ public class MultiLayerNetworkHandlerTest {
         ArgumentCaptor labelsCaptor = ArgumentCaptor.forClass(INDArray.class);
         verify(modelMock, times(1)).fit(featuresCaptor.capture(), labelsCaptor.capture());
         INDArray featuresArg = featuresCaptor.getValue();
-        assertSame(featuresArg, features);
+        assertSame(featuresArg, featuresData);
         INDArray labelsArg = labelsCaptor.getValue();
         assertSame(labelsArg, labels);
     }
@@ -109,8 +131,9 @@ public class MultiLayerNetworkHandlerTest {
     public void when_callingperformGradientsComputation_expect_modelCalledWithCorrectFeaturesLabels() {
         // Arrange
         setup(false);
-        INDArray features = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
         INDArray labels = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), featuresData });
         FeaturesLabels featuresLabels = new FeaturesLabels(features);
         featuresLabels.putLabels("TEST_LABEL", labels);
 
@@ -118,7 +141,7 @@ public class MultiLayerNetworkHandlerTest {
         sut.performGradientsComputation(featuresLabels);
 
         // Assert
-        verify(modelMock, times(1)).setInput(features);
+        verify(modelMock, times(1)).setInput(featuresData);
 
         ArgumentCaptor labelsCaptor = ArgumentCaptor.forClass(INDArray.class);
         verify(modelMock, times(1)).setLabels(labelsCaptor.capture());
@@ -170,12 +193,12 @@ public class MultiLayerNetworkHandlerTest {
     }
 
     @Test
-    public void when_callingRecurrentStepOutput_expect_recurrentStepCalledWithObservationData() {
+    public void when_callingRecurrentStepOutput_expect_recurrentStepCalledWithObservation() {
         // Arrange
         setup(false);
         Observation observationMock = mock(Observation.class);
         INDArray observationData = Nd4j.rand(1, 2);
-        when(observationMock.getData()).thenReturn(observationData);
+        when(observationMock.getChannelData(1)).thenReturn(observationData);
 
         // Act
         sut.recurrentStepOutput(observationMock);
@@ -185,16 +208,17 @@ public class MultiLayerNetworkHandlerTest {
     }
 
     @Test
-    public void when_callingBatchOutput_expect_outputCalledWithBatch() {
+    public void when_callingFeaturesBatchOutput_expect_outputCalledWithBatch() {
         // Arrange
         setup(false);
-        INDArray batch = Nd4j.rand(1, 2);
+        INDArray channelData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2), channelData });
 
         // Act
-        sut.batchOutput(batch);
+        sut.batchOutput(features);
 
         // Assert
-        verify(modelMock, times(1)).output(batch);
+        verify(modelMock, times(1)).output(channelData);
     }
 
     @Test
@@ -240,7 +264,7 @@ public class MultiLayerNetworkHandlerTest {
         setup(false);
         INDArray params = Nd4j.rand(1, 2);
         when(modelMock.params()).thenReturn(params);
-        MultiLayerNetworkHandler from = new MultiLayerNetworkHandler(modelMock, null, null);
+        MultiLayerNetworkHandler from = new MultiLayerNetworkHandler(modelMock, null, null, 0);
 
         // Act
         sut.copyFrom(from);
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/NetworkHelperTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/NetworkHelperTest.java
new file mode 100644
index 000000000..8692b467e
--- /dev/null
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/NetworkHelperTest.java
@@ -0,0 +1,299 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
+package org.deeplearning4j.rl4j.network;
+
+import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
+import org.deeplearning4j.nn.graph.ComputationGraph;
+import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.deeplearning4j.rl4j.observation.Observation;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.mockito.junit.MockitoJUnitRunner;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+
+import java.util.Arrays;
+import java.util.List;
+
+import static org.junit.Assert.assertTrue;
+import static org.junit.Assert.fail;
+import static org.mockito.Mockito.*;
+
+@RunWith(MockitoJUnitRunner.class)
+public class NetworkHelperTest {
+
+    @Test
+    public void when_callingBuildHandlerWithMapper_expect_correctlyBuiltNetworkHandler() {
+        // Arrange
+        final List networkInputs = Arrays.asList("INPUT1", "INPUT2", "INPUT3");
+        ComputationGraphConfiguration configurationMock = mock(ComputationGraphConfiguration.class);
+        when(configurationMock.getNetworkInputs()).thenReturn(networkInputs);
+
+        ComputationGraph modelMock = mock(ComputationGraph.class);
+        when(modelMock.getConfiguration()).thenReturn(configurationMock);
+
+        ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] networkInputsToChannelNameMap = new ChannelToNetworkInputMapper.NetworkInputToChannelBinding[] {
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("INPUT1", "CN2"),
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("INPUT2", "CN3"),
+                ChannelToNetworkInputMapper.NetworkInputToChannelBinding.map("INPUT3", "CN1"),
+        };
+        String[] channelNames = new String[] { "CN1", "CN2", "CN3" };
+        String[] labelNames = new String[] { "LN1", "LN2", "LN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, networkInputsToChannelNameMap, channelNames, labelNames, "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel2, channel3, channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithComputationGraphAndEmptyChannelName_expect_networkHandlerWithFirstInputBoundToFirstChannel() {
+        // Arrange
+        ComputationGraph modelMock = mock(ComputationGraph.class);
+
+        String[] channelNames = new String[] { "CN1", "CN2", "CN3" };
+        String[] labelNames = new String[] { "LN1", "LN2", "LN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "", channelNames, labelNames, "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithMLNAndEmptyChannelName_expect_networkHandlerWithFirstInputBoundToFirstChannel() {
+        // Arrange
+        MultiLayerNetwork modelMock = mock(MultiLayerNetwork.class);
+
+        String[] channelNames = new String[] { "CN1", "CN2", "CN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "", channelNames, "LABEL", "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithComputationGraphAndNullChannelNames_expect_networkHandlerWithFirstInputBoundToFirstChannel() {
+        // Arrange
+        ComputationGraph modelMock = mock(ComputationGraph.class);
+
+        String[] labelNames = new String[] { "LN1", "LN2", "LN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "CN2", null, labelNames, "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithMLNAndNullChannelNames_expect_networkHandlerWithFirstInputBoundToFirstChannel() {
+        // Arrange
+        MultiLayerNetwork modelMock = mock(MultiLayerNetwork.class);
+
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "CN2", null, "LABEL", "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithComputationGraphAndEmptyChannelNames_expect_networkHandlerWithFirstInputBoundToFirstChannel() {
+        // Arrange
+        ComputationGraph modelMock = mock(ComputationGraph.class);
+
+        String[] labelNames = new String[] { "LN1", "LN2", "LN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "CN2", new String[0], labelNames, "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithMLNAndEmptyChannelNames_expect_networkHandlerWithFirstInputBoundToFirstChannel() {
+        // Arrange
+        MultiLayerNetwork modelMock = mock(MultiLayerNetwork.class);
+
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "CN2", new String[0], "LABEL", "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel1);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithComputationGraphAndSpecificChannelName_expect_networkHandlerWithFirstInputBoundToThatChannel() {
+        // Arrange
+        ComputationGraph modelMock = mock(ComputationGraph.class);
+
+        String[] channelNames = new String[] { "CN1", "CN2", "CN3" };
+        String[] labelNames = new String[] { "LN1", "LN2", "LN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "CN2", channelNames, labelNames, "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel2);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithMLNAndSpecificChannelName_expect_networkHandlerWithFirstInputBoundToThatChannel() {
+        // Arrange
+        MultiLayerNetwork modelMock = mock(MultiLayerNetwork.class);
+
+        String[] channelNames = new String[] { "CN1", "CN2", "CN3" };
+        NetworkHelper sut = new NetworkHelper();
+
+        // Act
+        INetworkHandler handler = sut.buildHandler(modelMock, "CN2", channelNames, "LABEL", "GRADIENT");
+
+        // Assert
+        INDArray channel1 = Nd4j.rand(1, 2);
+        INDArray channel2 = Nd4j.rand(1, 2);
+        INDArray channel3 = Nd4j.rand(1, 2);
+        Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+        handler.stepOutput(observation);
+
+        verify(modelMock, times(1)).output(channel2);
+    }
+
+    @Test
+    public void when_callingBuildHandlerWithComputationGraphAndUnknownChannelName_expect_networkHandlerWithFirstInputBoundToThatChannel() {
+        try {
+            // Arrange
+            ComputationGraph modelMock = mock(ComputationGraph.class);
+
+            String[] channelNames = new String[]{"CN1", "CN2", "CN3"};
+            String[] labelNames = new String[]{"LN1", "LN2", "LN3"};
+            NetworkHelper sut = new NetworkHelper();
+
+            // Act
+            INetworkHandler handler = sut.buildHandler(modelMock, "UNKNOWN", channelNames, labelNames, "GRADIENT");
+
+            // Assert
+            INDArray channel1 = Nd4j.rand(1, 2);
+            INDArray channel2 = Nd4j.rand(1, 2);
+            INDArray channel3 = Nd4j.rand(1, 2);
+            Observation observation = new Observation(new INDArray[]{channel1, channel2, channel3});
+            handler.stepOutput(observation);
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "The channel 'UNKNOWN' was not found in channelNames.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+
+    @Test
+    public void when_callingBuildHandlerWithMLNAndUnknownChannelName_expect_networkHandlerWithFirstInputBoundToThatChannel() {
+        try {
+            // Arrange
+            MultiLayerNetwork modelMock = mock(MultiLayerNetwork.class);
+
+            String[] channelNames = new String[] { "CN1", "CN2", "CN3" };
+            NetworkHelper sut = new NetworkHelper();
+
+            // Act
+            INetworkHandler handler = sut.buildHandler(modelMock, "UNKNOWN", channelNames, "LABEL", "GRADIENT");
+
+            // Assert
+            INDArray channel1 = Nd4j.rand(1, 2);
+            INDArray channel2 = Nd4j.rand(1, 2);
+            INDArray channel3 = Nd4j.rand(1, 2);
+            Observation observation = new Observation(new INDArray[] { channel1, channel2, channel3});
+            handler.stepOutput(observation);
+            fail("IllegalArgumentException should have been thrown");
+        } catch (IllegalArgumentException exception) {
+            String expectedMessage = "The channel 'UNKNOWN' was not found in channelNames.";
+            String actualMessage = exception.getMessage();
+
+            assertTrue(actualMessage.contains(expectedMessage));
+        }
+    }
+
+}
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/QNetworkTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/QNetworkTest.java
index 0483efb1a..c77a35e73 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/QNetworkTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/QNetworkTest.java
@@ -1,8 +1,29 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.network;
 
 import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.junit.Test;
@@ -18,16 +39,24 @@ import static org.mockito.Mockito.*;
 @RunWith(MockitoJUnitRunner.class)
 public class QNetworkTest {
 
+    private FeaturesLabels createFeaturesLabelsMock() {
+        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
+        Features features = new Features(new INDArray[] { Nd4j.rand(1, 2) });
+        when(featuresLabelsMock.getFeatures()).thenReturn(features);
+
+        return featuresLabelsMock;
+    }
+
     @Test
     public void when_callingCtorWithMLN_expect_handlerUsesCorrectLabelAndGradientNames() {
         // Arrange
         MultiLayerNetwork modelMock = mock(MultiLayerNetwork.class);
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
         Gradient gradientMock = mock(Gradient.class);
         when(modelMock.gradient()).thenReturn(gradientMock);
 
         // Act
-        QNetwork sut = new QNetwork(modelMock);
+        QNetwork sut = buildQNetwork(modelMock);
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -39,12 +68,12 @@ public class QNetworkTest {
     public void when_callingCtorWithCG_expect_handlerUsesCorrectLabelAndGradientNames() {
         // Arrange
         ComputationGraph modelMock = mock(ComputationGraph.class);
-        FeaturesLabels featuresLabelsMock = mock(FeaturesLabels.class);
+        FeaturesLabels featuresLabelsMock = createFeaturesLabelsMock();
         Gradient gradientMock = mock(Gradient.class);
         when(modelMock.gradient()).thenReturn(gradientMock);
 
         // Act
-        QNetwork sut = new QNetwork(modelMock);
+        QNetwork sut = buildQNetwork(modelMock);
         Gradients results = sut.computeGradients(featuresLabelsMock);
 
         // Assert
@@ -56,13 +85,14 @@ public class QNetworkTest {
     public void when_callingOutput_expect_resultHasCorrectNames() {
         // Arrange
         ComputationGraph modelMock = mock(ComputationGraph.class);
-        INDArray batch = Nd4j.rand(1, 2);
+        INDArray featuresData = Nd4j.rand(1, 2);
+        Features features = new Features(new INDArray[] { featuresData });
         INDArray output = Nd4j.rand(1, 2);
-        when(modelMock.output(batch)).thenReturn(new INDArray[] { output });
+        when(modelMock.output(featuresData)).thenReturn(new INDArray[] { output });
 
         // Act
-        QNetwork sut = new QNetwork(modelMock);
-        NeuralNetOutput result = sut.output(batch);
+        QNetwork sut = buildQNetwork(modelMock);
+        NeuralNetOutput result = sut.output(features);
 
         // Assert
         assertSame(output, result.get(CommonOutputNames.QValues));
@@ -75,7 +105,7 @@ public class QNetworkTest {
         when(modelMock.clone()).thenReturn(modelMock);
 
         // Act
-        QNetwork sut = new QNetwork(modelMock);
+        QNetwork sut = buildQNetwork(modelMock);
         QNetwork clone = sut.clone();
 
         // Assert
@@ -83,4 +113,16 @@ public class QNetworkTest {
         assertNotSame(sut.getNetworkHandler(), clone.getNetworkHandler());
     }
 
+    private QNetwork buildQNetwork(ComputationGraph model) {
+        return QNetwork.builder()
+                .withNetwork(model)
+                .build();
+    }
+
+    private QNetwork buildQNetwork(MultiLayerNetwork model) {
+        return QNetwork.builder()
+                .withNetwork(model)
+                .build();
+    }
+
 }
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ac/ActorCriticTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ac/ActorCriticTest.java
index 821863054..50e015f3d 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ac/ActorCriticTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/ac/ActorCriticTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.ac;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/dqn/DQNTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/dqn/DQNTest.java
index a9997ec0c..9cfd4ee3f 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/dqn/DQNTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/network/dqn/DQNTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.network.dqn;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/TransformProcessTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/TransformProcessTest.java
index ce511c961..5230f9829 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/TransformProcessTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/TransformProcessTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform;
 
 import org.deeplearning4j.rl4j.observation.Observation;
@@ -320,6 +340,25 @@ public class TransformProcessTest {
         sut.transform(channelsData, 0, false);
     }
 
+    @Test
+    public void when_transformProcessHaveMultipleChannels_expect_channelsAreCreatedInTheDefinedOrder() {
+        // Arrange
+        TransformProcess sut = TransformProcess.builder()
+                .build("channel0", "channel1");
+        Map channelsData = new HashMap() {{
+            put("channel0", Nd4j.create(new double[] { 123.0 }));
+            put("channel1", Nd4j.create(new double[] { 234.0 }));
+        }};
+
+        // Act
+        Observation result = sut.transform(channelsData, 0, false);
+
+        // Assert
+        assertEquals(2, result.numChannels());
+        assertEquals(123.0, result.getChannelData(0).getDouble(0), 0.000001);
+        assertEquals(234.0, result.getChannelData(1).getDouble(0), 0.000001);
+    }
+
     private static class FilterOperationMock implements FilterOperation {
 
         private final boolean skipped;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilterTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilterTest.java
index fade9fb9f..5af9463e0 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilterTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/filter/UniformSkippingFilterTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform.filter;
 
 import org.deeplearning4j.rl4j.observation.transform.FilterOperation;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransformTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransformTest.java
index 8595811e8..f33aa8be9 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransformTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/ArrayToINDArrayTransformTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform.operation;
 
 import org.junit.Test;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransformTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransformTest.java
index 731eef8d9..c1053f3bb 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransformTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/HistoryMergeTransformTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform.operation;
 
 import org.deeplearning4j.rl4j.observation.transform.operation.historymerge.HistoryMergeAssembler;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransformTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransformTest.java
index 576f3aebf..deb0cde63 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransformTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/SimpleNormalizationTransformTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform.operation;
 
 import org.deeplearning4j.rl4j.helper.INDArrayHelper;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStoreTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStoreTest.java
index fb095dbce..9bcfcadf0 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStoreTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/CircularFifoStoreTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform.operation.historymerge;
 
 import org.junit.Test;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssemblerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssemblerTest.java
index c0820b651..9fdaf5437 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssemblerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/observation/transform/operation/historymerge/HistoryStackAssemblerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.observation.transform.operation.historymerge;
 
 import org.junit.Test;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/policy/PolicyTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/policy/PolicyTest.java
index 91723f7dc..b0aeb4c6b 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/policy/PolicyTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/policy/PolicyTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.policy;
 
@@ -23,6 +26,7 @@ import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.learning.IHistoryProcessor;
@@ -153,6 +157,11 @@ public class PolicyTest {
         public NeuralNetOutput output(INDArray batch) {
             throw new UnsupportedOperationException();
         }
+
+        @Override
+        public NeuralNetOutput output(Features features) {
+            throw new UnsupportedOperationException();
+        }
     }
 
     @Test
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDQN.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDQN.java
index 7a75ff3a2..33e8cb01f 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDQN.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDQN.java
@@ -1,7 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.deeplearning4j.nn.api.NeuralNetwork;
 import org.deeplearning4j.nn.gradient.Gradient;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.network.CommonOutputNames;
@@ -59,6 +80,11 @@ public class MockDQN implements IDQN {
         return result;
     }
 
+    @Override
+    public NeuralNetOutput output(Features features) {
+        throw new UnsupportedOperationException();
+    }
+
     @Override
     public NeuralNetOutput output(Observation observation) {
         return this.output(observation.getData());
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDataManager.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDataManager.java
index 7ee9575f3..01ed02217 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDataManager.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockDataManager.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.deeplearning4j.rl4j.learning.ILearning;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockHistoryProcessor.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockHistoryProcessor.java
index bd49fe1c0..d320b0edf 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockHistoryProcessor.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockHistoryProcessor.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.apache.commons.collections4.queue.CircularFifoQueue;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockMDP.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockMDP.java
index d12b4ebf0..e65d1819a 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockMDP.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockMDP.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.deeplearning4j.gym.StepReply;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockNeuralNet.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockNeuralNet.java
index 6e9ce0f1a..fd66a557a 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockNeuralNet.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockNeuralNet.java
@@ -1,7 +1,28 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.deeplearning4j.nn.api.NeuralNetwork;
 import org.deeplearning4j.nn.gradient.Gradient;
+import org.deeplearning4j.rl4j.agent.learning.update.Features;
 import org.deeplearning4j.rl4j.agent.learning.update.FeaturesLabels;
 import org.deeplearning4j.rl4j.agent.learning.update.Gradients;
 import org.deeplearning4j.rl4j.network.ITrainableNeuralNet;
@@ -107,4 +128,9 @@ public class MockNeuralNet implements NeuralNet {
     public NeuralNetOutput output(INDArray batch) {
         throw new UnsupportedOperationException();
     }
+
+    @Override
+    public NeuralNetOutput output(Features features) {
+        throw new UnsupportedOperationException();
+    }
 }
\ No newline at end of file
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservation.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservation.java
index 70a3e76c6..fe71b3eb0 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservation.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservation.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2020 Konduit K. K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.support;
 
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservationSpace.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservationSpace.java
index ffba71b5a..1b677c49c 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservationSpace.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockObservationSpace.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.deeplearning4j.rl4j.space.ObservationSpace;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockPolicy.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockPolicy.java
index 8786f7d7d..cc4fc2232 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockPolicy.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockPolicy.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.deeplearning4j.rl4j.learning.IHistoryProcessor;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockRandom.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockRandom.java
index 53de05bd9..c94e926ce 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockRandom.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/support/MockRandom.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.support;
 
 import org.bytedeco.javacpp.Pointer;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/AsyncTrainerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/AsyncTrainerTest.java
index 676253ae5..355efe01c 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/AsyncTrainerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/AsyncTrainerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.trainer;
 
 import org.apache.commons.lang3.builder.Builder;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/SyncTrainerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/SyncTrainerTest.java
index fdc193acc..58dfe7e7a 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/SyncTrainerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/trainer/SyncTrainerTest.java
@@ -1,3 +1,23 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
+
 package org.deeplearning4j.rl4j.trainer;
 
 import org.apache.commons.lang3.builder.Builder;
diff --git a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListenerTest.java b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListenerTest.java
index 0818889e5..97795b503 100644
--- a/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListenerTest.java
+++ b/rl4j/rl4j-core/src/test/java/org/deeplearning4j/rl4j/util/DataManagerTrainingListenerTest.java
@@ -1,19 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2019 Skymind, Inc.
- * Copyright (c) 2020 Konduit K.K.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.util;
 
diff --git a/rl4j/rl4j-doom/pom.xml b/rl4j/rl4j-doom/pom.xml
index 31062c7e3..367267336 100644
--- a/rl4j/rl4j-doom/pom.xml
+++ b/rl4j/rl4j-doom/pom.xml
@@ -1,37 +1,40 @@
-
+
+
+
+
+
+    4.0.0
 
-
     
         rl4j
         org.deeplearning4j
         1.0.0-SNAPSHOT
     
-    4.0.0
 
     rl4j-doom
-    jar
 
     rl4j-doom
 
-    
-        UTF-8
-    
-
     
         
             org.deeplearning4j
diff --git a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/Basic.java b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/Basic.java
index 2ca0401d6..bbb144280 100644
--- a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/Basic.java
+++ b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/Basic.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.vizdoom;
 
@@ -21,9 +25,6 @@ import vizdoom.Button;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/2/16.
- */
 public class Basic extends VizDoom {
 
     public Basic(boolean render) {
diff --git a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/DeadlyCorridor.java b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/DeadlyCorridor.java
index 9df22d200..03b816467 100644
--- a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/DeadlyCorridor.java
+++ b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/DeadlyCorridor.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.vizdoom;
 
@@ -21,9 +25,6 @@ import vizdoom.Button;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/1/16.
- */
 public class DeadlyCorridor extends VizDoom {
 
     public DeadlyCorridor(boolean render) {
diff --git a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/PredictPosition.java b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/PredictPosition.java
index 807e356ef..48a164d6a 100644
--- a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/PredictPosition.java
+++ b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/PredictPosition.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.vizdoom;
 
@@ -21,9 +25,6 @@ import vizdoom.Button;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/18/16.
- */
 public class PredictPosition extends VizDoom {
 
     public PredictPosition(boolean render) {
diff --git a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/TakeCover.java b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/TakeCover.java
index 58fee665c..0e73e0135 100644
--- a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/TakeCover.java
+++ b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/TakeCover.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.vizdoom;
 
@@ -21,9 +25,6 @@ import vizdoom.Button;
 import java.util.Arrays;
 import java.util.List;
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 8/1/16.
- */
 public class TakeCover extends VizDoom {
 
     public TakeCover(boolean render) {
diff --git a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/VizDoom.java b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/VizDoom.java
index becce416f..9043d7cf9 100644
--- a/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/VizDoom.java
+++ b/rl4j/rl4j-doom/src/main/java/org/deeplearning4j/rl4j/mdp/vizdoom/VizDoom.java
@@ -1,18 +1,22 @@
-/*******************************************************************************
- * Copyright (c) 2015-2018 Skymind, Inc.
- *
- * This program and the accompanying materials are made available under the
- * terms of the Apache License, Version 2.0 which is available at
- * https://www.apache.org/licenses/LICENSE-2.0.
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations
- * under the License.
- *
- * SPDX-License-Identifier: Apache-2.0
- ******************************************************************************/
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * This program and the accompanying materials are made available under the
+ *  * terms of the Apache License, Version 2.0 which is available at
+ *  * https://www.apache.org/licenses/LICENSE-2.0.
+ *  *
+ *  *  See the NOTICE file distributed with this work for additional
+ *  *  information regarding copyright ownership.
+ *  * Unless required by applicable law or agreed to in writing, software
+ *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ *  * License for the specific language governing permissions and limitations
+ *  * under the License.
+ *  *
+ *  * SPDX-License-Identifier: Apache-2.0
+ *  *****************************************************************************
+ */
 
 package org.deeplearning4j.rl4j.mdp.vizdoom;
 
@@ -37,24 +41,6 @@ import java.util.ArrayList;
 import java.util.List;
 
 
-/**
- * @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/28/16.
- *
- * Mother abstract class for all VizDoom scenarios
- *
- * is mostly configured by
- *
- *    String scenario;       name of the scenario
- *    double livingReward;   additional reward at each step for living
- *    double deathPenalty;   negative reward when ded
- *    int doomSkill;         skill of the ennemy
- *    int timeout;           number of step after which simulation time out
- *    int startTime;         number of internal tics before the simulation starts (useful to draw weapon by example)
- *    List